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+2026-05-11 01:10:26,856 INFO    MainThread:1704299 [wandb_init.py:init():850] calling init triggers
+2026-05-11 01:10:26,856 INFO    MainThread:1704299 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 4, 'max_children': 16, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': True, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_B16x4', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
+2026-05-11 01:10:26,856 INFO    MainThread:1704299 [wandb_init.py:init():898] starting backend
+2026-05-11 01:10:27,074 INFO    MainThread:1704299 [wandb_init.py:init():913] sending inform_init request
+2026-05-11 01:10:27,517 INFO    MainThread:1704299 [wandb_init.py:init():918] backend started and connected
+2026-05-11 01:10:27,519 INFO    MainThread:1704299 [wandb_init.py:init():988] updated telemetry
+2026-05-11 01:10:27,522 INFO    MainThread:1704299 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
+2026-05-11 01:10:28,177 INFO    MainThread:1704299 [wandb_init.py:init():1056] starting run threads in backend
+2026-05-11 01:10:28,221 INFO    MainThread:1704299 [wandb_run.py:_console_start():2554] atexit reg
+2026-05-11 01:10:28,221 INFO    MainThread:1704299 [wandb_run.py:_redirect():2403] redirect: wrap_raw
+2026-05-11 01:10:28,221 INFO    MainThread:1704299 [wandb_run.py:_redirect():2472] Wrapping output streams.
+2026-05-11 01:10:28,221 INFO    MainThread:1704299 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-05-11 01:10:28,224 INFO    MainThread:1704299 [wandb_init.py:init():1094] run started, returning control to user process
+2026-05-11 01:10:35,293 INFO    wandb-AsyncioManager-main:1704299 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-11 01:10:35,293 INFO    wandb-AsyncioManager-main:1704299 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
diff --git a/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/config.yaml b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d7120c9334afb7eb00af4627786fe57e43282cf
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/config.yaml
@@ -0,0 +1,349 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            bzfxohbc14279zovz0t4rtlmmmlijdwz:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_B16x4
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                    - model.encoder.gaussian_predictor.outside_border_parents=true
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "649968553984"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-09-09
+                startedAt: "2026-05-10T16:10:26.855125Z"
+                writerId: bzfxohbc14279zovz0t4rtlmmmlijdwz
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: true
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_B16x4
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
diff --git a/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/output.log b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..a2352dbb6f6d7133dd0a85f7c96f6027c21a6c43
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/output.log
@@ -0,0 +1,155 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+150 M     Trainable params
+1.1 B     Non-trainable params
+1.3 B     Total params
+5,104.898 Total estimated model params size (MB)
+1591      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                            | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=17` in the `DataLoader` to improve performance.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading model from: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: |                                                                                                     | 0/? [00:00<?, ?it/s]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/num_gs', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/scene_scale', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Error executing job with overrides: ['+training=gaussian_head_toy', 'wandb.project=flexsplat', 'wandb.mode=online', 'wandb.name=0511_B16x4', 'data_loader.train.batch_size=16', 'model.encoder.gaussian_predictor.min_children=4', 'model.encoder.gaussian_predictor.max_children=16', 'train.pixel_error_mode=abs', 'train.error_loss_weight=0.1', 'model.encoder.gaussian_predictor.top_k=16', 'train.hierarchical_patch_position_loss_target=parent', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'train.gaussian_train_ratio_sampling=uniform', 'train.context_view_loss=true', 'model.encoder.backbone.estimating_pose=true', 'train.camera_loss=10.0', 'model.encoder.backbone.target_pose_source=gt_aligned', 'model.encoder.backbone.gt_target_pose_align_mode=nearest_context', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'model.encoder.gaussian_predictor.use_pred_intrinsic=false', 'model.encoder.gaussian_predictor.outside_border_parents=true']
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 47, in _call_and_handle_interrupt
+    return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/launchers/subprocess_script.py", line 105, in launch
+    return function(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1056, in _run_stage
+    self.fit_loop.run()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 216, in run
+    self.advance()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 455, in advance
+    self.epoch_loop.run(self._data_fetcher)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 150, in run
+    self.advance(data_fetcher)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 322, in advance
+    batch_output = self.manual_optimization.run(kwargs)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/optimization/manual.py", line 94, in run
+    self.advance(kwargs)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/optimization/manual.py", line 114, in advance
+    training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
+                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 390, in training_step
+    return self._forward_redirection(self.model, self.lightning_module, "training_step", *args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 641, in __call__
+    wrapper_output = wrapper_module(*args, **kwargs)
+                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1648, in forward
+    else self._run_ddp_forward(*inputs, **kwargs)
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1474, in _run_ddp_forward
+    return self.module(*inputs, **kwargs)  # type: ignore[index]
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 634, in wrapped_forward
+    out = method(*_args, **_kwargs)
+          ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/model_wrapper.py", line 2954, in training_step
+    torch.autograd.backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/__init__.py", line 354, in backward
+    _engine_run_backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/graph.py", line 829, in _engine_run_backward
+    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+torch.AcceleratorError: CUDA error: an illegal memory access was encountered
+CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
+For debugging consider passing CUDA_LAUNCH_BLOCKING=1
+Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/main.py", line 186, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 69, in _call_and_handle_interrupt
+    trainer._teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1035, in _teardown
+    self.strategy.teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/ddp.py", line 419, in teardown
+    super().teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/parallel.py", line 134, in teardown
+    super().teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 536, in teardown
+    self.lightning_module.cpu()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/fabric/utilities/device_dtype_mixin.py", line 82, in cpu
+    return super().cpu()
+           ^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1150, in cpu
+    return self._apply(lambda t: t.cpu())
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  [Previous line repeated 3 more times]
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 955, in _apply
+    param_applied = fn(param)
+                    ^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1150, in <lambda>
+    return self._apply(lambda t: t.cpu())
+                                 ^^^^^^^
+torch.AcceleratorError: CUDA error: an illegal memory access was encountered
+CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
+For debugging consider passing CUDA_LAUNCH_BLOCKING=1
+Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
diff --git a/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/requirements.txt b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/wandb-metadata.json b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5742cb453c76b639ed23af352d39e020d73b43b
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/files/wandb-metadata.json
@@ -0,0 +1,111 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T16:10:26.855125Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_B16x4",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=16",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=true",
+    "train.camera_loss=10.0",
+    "model.encoder.backbone.target_pose_source=gt_aligned",
+    "model.encoder.backbone.gt_target_pose_align_mode=nearest_context",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.use_pred_intrinsic=false",
+    "model.encoder.gaussian_predictor.outside_border_parents=true"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-09-09",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "649968553984"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
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+}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5b78f04402bed59a657ef9c59f844f15fd8567dc
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@@ -0,0 +1 @@
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diff --git a/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/logs/debug-core.log b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/logs/debug-core.log
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diff --git a/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/logs/debug-internal.log b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/logs/debug-internal.log
new file mode 100644
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diff --git a/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/logs/debug.log b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/logs/debug.log
new file mode 100644
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+2026-05-11 01:10:26,856 INFO    MainThread:1704299 [wandb_setup.py:_flush():81] Loading settings from environment variables
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'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
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diff --git a/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/run-mp5x528t.wandb b/exp_0511_B16x4/2026-05-11_01-09-09/wandb/run-20260511_011026-mp5x528t/run-mp5x528t.wandb
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diff --git a/exp_0511_B16x4/2026-05-11_01-12-45/wandb/debug-internal.log b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/debug-internal.log
new file mode 100644
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+{"time":"2026-05-11T01:14:11.377070034+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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diff --git a/exp_0511_B16x4/2026-05-11_01-12-45/wandb/debug.log b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/debug.log
new file mode 100644
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+2026-05-11 01:14:02,470 INFO    MainThread:1707265 [wandb_init.py:init():850] calling init triggers
+2026-05-11 01:14:02,470 INFO    MainThread:1707265 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 4, 'max_children': 16, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': True, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_B16x4', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
+2026-05-11 01:14:02,470 INFO    MainThread:1707265 [wandb_init.py:init():898] starting backend
+2026-05-11 01:14:02,688 INFO    MainThread:1707265 [wandb_init.py:init():913] sending inform_init request
+2026-05-11 01:14:03,128 INFO    MainThread:1707265 [wandb_init.py:init():918] backend started and connected
+2026-05-11 01:14:03,130 INFO    MainThread:1707265 [wandb_init.py:init():988] updated telemetry
+2026-05-11 01:14:03,133 INFO    MainThread:1707265 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
+2026-05-11 01:14:03,700 INFO    MainThread:1707265 [wandb_init.py:init():1056] starting run threads in backend
+2026-05-11 01:14:03,750 INFO    MainThread:1707265 [wandb_run.py:_console_start():2554] atexit reg
+2026-05-11 01:14:03,750 INFO    MainThread:1707265 [wandb_run.py:_redirect():2403] redirect: wrap_raw
+2026-05-11 01:14:03,750 INFO    MainThread:1707265 [wandb_run.py:_redirect():2472] Wrapping output streams.
+2026-05-11 01:14:03,750 INFO    MainThread:1707265 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-05-11 01:14:03,753 INFO    MainThread:1707265 [wandb_init.py:init():1094] run started, returning control to user process
+2026-05-11 01:14:10,559 INFO    wandb-AsyncioManager-main:1707265 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-11 01:14:10,559 INFO    wandb-AsyncioManager-main:1707265 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
diff --git a/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/config.yaml b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4282c2eb8821fd2b5a2d2c6885c6d52464d48581
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/config.yaml
@@ -0,0 +1,349 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            5xmu41vo8lbziiojyv7mdlus98lby356:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_B16x4
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                    - model.encoder.gaussian_predictor.outside_border_parents=true
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "649968685056"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-12-45
+                startedAt: "2026-05-10T16:14:02.468862Z"
+                writerId: 5xmu41vo8lbziiojyv7mdlus98lby356
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: true
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_B16x4
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
diff --git a/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/output.log b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..a2352dbb6f6d7133dd0a85f7c96f6027c21a6c43
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/output.log
@@ -0,0 +1,155 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+150 M     Trainable params
+1.1 B     Non-trainable params
+1.3 B     Total params
+5,104.898 Total estimated model params size (MB)
+1591      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                            | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=17` in the `DataLoader` to improve performance.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading model from: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: |                                                                                                     | 0/? [00:00<?, ?it/s]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/num_gs', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/scene_scale', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Error executing job with overrides: ['+training=gaussian_head_toy', 'wandb.project=flexsplat', 'wandb.mode=online', 'wandb.name=0511_B16x4', 'data_loader.train.batch_size=16', 'model.encoder.gaussian_predictor.min_children=4', 'model.encoder.gaussian_predictor.max_children=16', 'train.pixel_error_mode=abs', 'train.error_loss_weight=0.1', 'model.encoder.gaussian_predictor.top_k=16', 'train.hierarchical_patch_position_loss_target=parent', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'train.gaussian_train_ratio_sampling=uniform', 'train.context_view_loss=true', 'model.encoder.backbone.estimating_pose=true', 'train.camera_loss=10.0', 'model.encoder.backbone.target_pose_source=gt_aligned', 'model.encoder.backbone.gt_target_pose_align_mode=nearest_context', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'model.encoder.gaussian_predictor.use_pred_intrinsic=false', 'model.encoder.gaussian_predictor.outside_border_parents=true']
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 47, in _call_and_handle_interrupt
+    return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/launchers/subprocess_script.py", line 105, in launch
+    return function(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1056, in _run_stage
+    self.fit_loop.run()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 216, in run
+    self.advance()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/fit_loop.py", line 455, in advance
+    self.epoch_loop.run(self._data_fetcher)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 150, in run
+    self.advance(data_fetcher)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/training_epoch_loop.py", line 322, in advance
+    batch_output = self.manual_optimization.run(kwargs)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/optimization/manual.py", line 94, in run
+    self.advance(kwargs)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/optimization/manual.py", line 114, in advance
+    training_step_output = call._call_strategy_hook(trainer, "training_step", *kwargs.values())
+                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 390, in training_step
+    return self._forward_redirection(self.model, self.lightning_module, "training_step", *args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 641, in __call__
+    wrapper_output = wrapper_module(*args, **kwargs)
+                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1648, in forward
+    else self._run_ddp_forward(*inputs, **kwargs)
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1474, in _run_ddp_forward
+    return self.module(*inputs, **kwargs)  # type: ignore[index]
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 634, in wrapped_forward
+    out = method(*_args, **_kwargs)
+          ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/model_wrapper.py", line 2954, in training_step
+    torch.autograd.backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/__init__.py", line 354, in backward
+    _engine_run_backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/graph.py", line 829, in _engine_run_backward
+    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+torch.AcceleratorError: CUDA error: an illegal memory access was encountered
+CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
+For debugging consider passing CUDA_LAUNCH_BLOCKING=1
+Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/main.py", line 186, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 69, in _call_and_handle_interrupt
+    trainer._teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1035, in _teardown
+    self.strategy.teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/ddp.py", line 419, in teardown
+    super().teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/parallel.py", line 134, in teardown
+    super().teardown()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 536, in teardown
+    self.lightning_module.cpu()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/fabric/utilities/device_dtype_mixin.py", line 82, in cpu
+    return super().cpu()
+           ^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1150, in cpu
+    return self._apply(lambda t: t.cpu())
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 928, in _apply
+    module._apply(fn)
+  [Previous line repeated 3 more times]
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 955, in _apply
+    param_applied = fn(param)
+                    ^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1150, in <lambda>
+    return self._apply(lambda t: t.cpu())
+                                 ^^^^^^^
+torch.AcceleratorError: CUDA error: an illegal memory access was encountered
+CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
+For debugging consider passing CUDA_LAUNCH_BLOCKING=1
+Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
diff --git a/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/requirements.txt b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/wandb-metadata.json b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..17c0b555b474e1767662961e718ef3858afba1ab
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/files/wandb-metadata.json
@@ -0,0 +1,111 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T16:14:02.468862Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_B16x4",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=16",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=true",
+    "train.camera_loss=10.0",
+    "model.encoder.backbone.target_pose_source=gt_aligned",
+    "model.encoder.backbone.gt_target_pose_align_mode=nearest_context",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.use_pred_intrinsic=false",
+    "model.encoder.gaussian_predictor.outside_border_parents=true"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-12-45",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "649968685056"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
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+}
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diff --git a/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/logs/debug.log b/exp_0511_B16x4/2026-05-11_01-12-45/wandb/run-20260511_011402-6w23hyub/logs/debug.log
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diff --git a/exp_0511_B16x4/2026-05-11_01-14-35/wandb/debug.log b/exp_0511_B16x4/2026-05-11_01-14-35/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..81c69e596c43dc16de530f014ba29f53a89910bb
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-14-35/wandb/debug.log
@@ -0,0 +1,21 @@
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+2026-05-11 01:15:50,558 INFO    MainThread:1710090 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-05-11 01:15:50,558 INFO    MainThread:1710090 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/logs/debug.log
+2026-05-11 01:15:50,558 INFO    MainThread:1710090 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/logs/debug-internal.log
+2026-05-11 01:15:50,559 INFO    MainThread:1710090 [wandb_init.py:init():850] calling init triggers
+2026-05-11 01:15:50,559 INFO    MainThread:1710090 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 4, 'max_children': 16, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_B16x4', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
+2026-05-11 01:15:50,559 INFO    MainThread:1710090 [wandb_init.py:init():898] starting backend
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+2026-05-11 01:15:51,961 INFO    MainThread:1710090 [wandb_run.py:_console_start():2554] atexit reg
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+2026-05-11 08:21:52,525 INFO    wandb-AsyncioManager-main:1710090 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
diff --git a/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/config.yaml b/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0401acdeaf4d51c2d854dc600c242ace9d468ae0
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/config.yaml
@@ -0,0 +1,348 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            yvwgqdwwhuekmf5vznv5junyux9wuxg8:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_B16x4
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "649968820224"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
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+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
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+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
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+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
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+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-14-35
+                startedAt: "2026-05-10T16:15:50.557827Z"
+                writerId: yvwgqdwwhuekmf5vznv5junyux9wuxg8
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
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+                - 1
+                - 41
+                - 49
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+                - 1
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+                - 66
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
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+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_B16x4
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
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+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
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+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
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+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                            | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=17` in the `DataLoader` to improve performance.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading model from: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 9/? [00:06<00:00,  1.33it/s, v_num=oxn2, train/psnr_probabilistic_step=9.490, train/active_min_children_step=4.000, losstrain step 10; scene = ['78784c6ffe218407', '2144f1fd5b00dc66', 'f568ab2fa64994e9', 'eac6cedeba1f720b', '216d5454333d29b5', 'b628b7d46a07cb57', '3b07094586f67024', '044df93e59024ee2', '167c67586a8c0846', '3931c6a7e69ffff1', 'c9c67636b9d521be', '0908c09364f54c42', '2d92b7321e1039c5', '3bc0044f0678f39f', 'e51ef9945ae527c4', '31250ac58b3e32c9']; context = [[31, 56], [10, 35], [7, 32], [27, 52], [249, 274], [57, 82], [15, 40], [114, 139], [6, 31], [6, 31], [137, 162], [14, 39], [10, 35], [95, 120], [55, 80], [89, 114]]; loss = 0.268439 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/num_gs', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/scene_scale', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 19/? [00:12<00:00,  1.51it/s, v_num=oxn2, train/psnr_probabilistic_step=9.190, train/active_min_children_step=4.000, lostrain step 20; scene = ['4581bdd74b6ee0a9', 'd56e9c764f637e1c', '1f9574f1e0c1c2b2', 'd7e2a0e5718dc803', 'b2186a798ad4fb49', 'db1723893a3a6277', 'b3edac66be582f84', '6546295c3cec469a', 'b3232677872b2974', '2f27acaf69f3c7a7', '486673d483fe843a', '488358b53866b7aa', 'eedd397acee4cb4f', 'c18ea6a77949e219', '5140967fcd51092e', '08234c2181c4db46']; context = [[6, 31], [26, 51], [45, 70], [209, 234], [31, 56], [9, 34], [30, 55], [247, 272], [58, 83], [0, 25], [62, 87], [10, 35], [113, 138], [92, 117], [43, 68], [162, 187]]; loss = 0.282976 low_pass_filter = 10.000
+Epoch 0: | | 29/? [00:18<00:00,  1.58it/s, v_num=oxn2, train/psnr_probabilistic_step=9.520, train/active_min_children_step=4.000, lostrain step 30; scene = ['6dd4b348223c880c', 'dff181c503e5c202', 'fd4c9fb0fae56ccd', '66c3771cf7cb96c2', '75790c62002de4f2', 'c7e94713ef1f1ace', '0cbf1454a4391523', '9bb0448e7cb2f733', 'a8cef6a851fbea3c', '9c763036f1d84e18', '7759eccd562145b9', 'a597e94e50eb917a', '67e69f3a4701dfd8', 'b91dfcb3102d1482', '5a2ad43377e9d18d', '0e4916077d990d1e']; context = [[4, 29], [102, 127], [26, 51], [247, 272], [39, 64], [16, 41], [129, 154], [10, 35], [38, 63], [101, 126], [8, 33], [111, 136], [10, 35], [76, 101], [52, 77], [21, 46]]; loss = 0.265924 low_pass_filter = 10.000
+Epoch 0: | | 39/? [00:24<00:00,  1.61it/s, v_num=oxn2, train/psnr_probabilistic_step=10.10, train/active_min_children_step=4.000, lostrain step 40; scene = ['af9d978c9fca5752', '55cf2bbe9e017ea4', '437474fa4196e1b7', '0207b0ec0cc851f6', '1684dbfef3d182a9', '512cd4ea0fef0198', 'd1772c09b4b6d95f', '629f07baec1cbad5', '99e9f09b456ef23e', 'd066040e500bd58b', '7e7b53917bcf337b', '0066ed3711a7240d', '0f0bbb6510ca3018', 'c49bd62c183dd925', 'd7ca14c855d58875', 'b07a54eda9cdaccb']; context = [[175, 200], [3, 28], [122, 147], [24, 49], [17, 42], [35, 60], [53, 78], [110, 135], [31, 56], [13, 38], [54, 79], [71, 96], [37, 62], [11, 36], [45, 70], [106, 131]]; loss = 0.234682 low_pass_filter = 10.000
+Epoch 0: | | 49/? [00:30<00:00,  1.63it/s, v_num=oxn2, train/psnr_probabilistic_step=9.510, train/active_min_children_step=4.000, lostrain step 50; scene = ['c1bcd66d5a2d51b6', 'ea5a39bd855fdd91', 'f3135a7492955a8a', '9794641b7e015578', '5041701491a4b930', 'c2fd6e5ebbff57b3', '604b0838aa3321c5', '86d9acf576d8ec0b', '2dd4d2a252e34405', 'fe1cf5504260d4ea', '7e58b6857e275547', '7dfeaf87a8145697', '96b163f47895beee', '83c9baf5bbc941ee', '23d17b97a9d3674e', '36846d6fa22bba62']; context = [[113, 138], [33, 58], [127, 152], [125, 150], [124, 149], [27, 52], [26, 51], [157, 182], [30, 55], [3, 28], [132, 157], [8, 33], [115, 140], [106, 131], [69, 94], [135, 160]]; loss = 0.231197 low_pass_filter = 10.000
+Epoch 0: | | 59/? [00:36<00:00,  1.64it/s, v_num=oxn2, train/psnr_probabilistic_step=11.50, train/active_min_children_step=4.000, lostrain step 60; scene = ['d8b22b4eb5e28e71', '68e586537c71a833', 'ad24c22967e79c48', '5a6fefaa5fc9fb2b', 'c0e3203eaee46f03', '8e16c8644efeec52', 'b0acc8ab51920ba2', '03d05f69a1cab4f8', '4017d144a78a75f1', '729acff96609b269', '4c9fcaa404a29913', 'c963dfce16d61584', '45a2984105a2b69b', '88758635b5ba64ab', 'cc68efcc2b123690', '5d77d10032b5d35d']; context = [[88, 113], [101, 126], [43, 68], [15, 40], [44, 69], [6, 31], [14, 39], [129, 154], [125, 150], [40, 65], [161, 186], [0, 25], [12, 37], [20, 45], [161, 186], [17, 42]]; loss = 0.225651 low_pass_filter = 10.000
+Epoch 0: | | 69/? [00:42<00:00,  1.63it/s, v_num=oxn2, train/psnr_probabilistic_step=12.00, train/active_min_children_step=4.000, lostrain step 70; scene = ['73ecf847059621f6', '6a60c963307639aa', '83f9d8c6d307248a', '6df172462e2547f2', '8dd73309b133b8bf', 'bbbded1a277dd24f', 'c7af45d1166fe6cb', 'f5db0bad3ebe96e3', '57a51e1d7e1b80fe', '5223b08ead451ba3', 'f6894181dbf11e40', 'b24a35dc8884076b', '73b27f4f150327af', '932af4bdfcb8093b', '7bdeaa5ddcb319c8', '6e1a2b5a4f427345']; context = [[5, 30], [0, 25], [18, 43], [133, 158], [47, 72], [5, 30], [23, 48], [2, 27], [51, 76], [100, 125], [0, 25], [19, 44], [41, 66], [178, 203], [1, 26], [59, 84]]; loss = 0.189281 low_pass_filter = 10.000
+Epoch 0: | | 79/? [00:48<00:00,  1.64it/s, v_num=oxn2, train/psnr_probabilistic_step=12.60, train/active_min_children_step=4.000, lostrain step 80; scene = ['d628ed946998f4f0', '75335793f866b96d', '634b28ad470cf75a', '04285c62eb6cc081', 'cd2d9ac2a7223cf5', '3aba252e263e7585', '3d90d586b33daa63', '86dfadf971ff9ff5', 'a9936b77895f33b3', '06a16655c8e8ad9c', '1e56c6d50221c84b', 'c5a85f680c4f9c9c', '92bc1a5a284f9e88', '186b6487fea252ab', '6cbbe9075b0d2138', 'fb7776636c2a50b5']; context = [[24, 49], [28, 53], [74, 99], [44, 69], [104, 129], [215, 240], [72, 97], [87, 112], [20, 45], [25, 50], [122, 147], [50, 75], [166, 191], [37, 62], [104, 129], [36, 61]]; loss = 0.184206 low_pass_filter = 10.000
+Epoch 0: | | 89/? [00:54<00:00,  1.65it/s, v_num=oxn2, train/psnr_probabilistic_step=13.50, train/active_min_children_step=4.000, lostrain step 90; scene = ['48c804cdf23efb75', 'bdf562da5cc7475c', '31240f5e4b708132', '723f94d150ab09f2', '296063ceba643c07', '6e5505414fd63528', '5a9672017ab85918', 'a67e709b68b7163d', '7e34a8e57c879465', '18aecc2e66ae3112', '0160565c91c8654b', '692a87e2b7ebc8be', '2107f0bc2f004d1e', 'c25b314716aa6b10', '0779daaad5fd0ef7', 'e6cfdadf048f70a1']; context = [[8, 33], [0, 25], [91, 116], [248, 273], [100, 125], [50, 75], [64, 89], [66, 91], [29, 54], [43, 68], [36, 61], [4, 29], [55, 80], [0, 25], [52, 77], [55, 80]]; loss = 0.173417 low_pass_filter = 10.000
+Epoch 0: | | 99/? [00:59<00:00,  1.65it/s, v_num=oxn2, train/psnr_probabilistic_step=14.10, train/active_min_children_step=4.000, lostrain step 100; scene = ['b34bb5f53856d34f', 'd110e65023ed8364', 'cb155c027de7a145', '7d9fc989aa9c6149', '6d51b12343179f02', 'cc2226bd7f8faab6', '84f60ca2323e9654', '4e1c106e3effe9bc', '042ddfb169d6bbdb', '342099a48847f4f6', '6ea0ff32c8ea695c', '38a6a1ac5db4c9ca', 'f7a74e0520117195', 'a931b461d6725481', '786cc15dbe60b001', '94841d39236a40ee']; context = [[0, 25], [25, 50], [126, 151], [97, 122], [3, 28], [19, 44], [17, 42], [63, 88], [26, 51], [12, 37], [3, 28], [117, 142], [8, 33], [79, 104], [68, 93], [28, 53]]; loss = 0.169842 low_pass_filter = 10.000
+Epoch 0: | | 109/? [01:06<00:00,  1.65it/s, v_num=oxn2, train/psnr_probabilistic_step=15.00, train/active_min_children_step=4.000, lotrain step 110; scene = ['da0fad2070e6c0dd', 'e17208be486cc7a7', '2b15c8704aaa87ba', 'dbac9841157230ce', '0f62ec5c20682f71', '1251592126203554', 'bd99ad1d47bb9005', '04b859d3d26366de', 'f4b06ed6e137cd5d', 'b1de49fea231bb59', 'f92964360d184d99', 'a0b45bab75d35ee0', '3d9f44d7bdd0796d', '42000d5a83b48ee4', '625e3aa0ff734714', 'd2dd3b46d9903314']; context = [[21, 46], [125, 150], [41, 66], [225, 250], [217, 242], [8, 33], [76, 101], [4, 29], [168, 193], [20, 45], [5, 30], [13, 38], [36, 61], [45, 70], [57, 82], [132, 157]]; loss = 0.147815 low_pass_filter = 10.000
+Epoch 0: | | 119/? [01:11<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=16.10, train/active_min_children_step=4.000, lotrain step 120; scene = ['65c4746a5f0a43b7', 'ce3ff34509148f55', '2b83ce9b23c5ab7d', 'd729044c166a455f', '84cede8286dcf69b', '3ba79e4a3499b7bc', 'afc970648a89e04a', '5a040cbc8d351ff7', '8278bfd97661dc65', 'bf37ac6cc15e90c4', '2bf30153b26e2060', '814f74b9c3c4d094', '0a609dca037e83a9', 'eda299b8ec5d56ff', '82b8b4c5e983729f', '122d66974706d78c']; context = [[3, 28], [2, 27], [41, 66], [173, 198], [70, 95], [70, 95], [79, 104], [159, 184], [1, 26], [76, 101], [45, 70], [31, 56], [8, 33], [64, 89], [155, 180], [4, 29]]; loss = 0.134147 low_pass_filter = 10.000
+Epoch 0: | | 129/? [01:17<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=15.80, train/active_min_children_step=4.000, lotrain step 130; scene = ['7898a828b7203ca4', '6814d469f5cec50d', '68a4606ce0150ce6', '70a343bffc90f4aa', 'c31cf070ae1a75d4', 'e734e244799d0bfd', 'cb734fdc69e9900e', '89e3bea1f3d2137a', '12f1a55c604c66b0', 'f8532bb5eca0e29d', '174ebd189316bd92', '0087cf27aa9e6167', 'be0f77ad0082e93e', 'db6cd90de8fee2ff', '739932d092e06fe2', 'b703bdb45d172fe7']; context = [[32, 57], [78, 103], [64, 89], [45, 70], [73, 98], [143, 168], [24, 49], [132, 157], [239, 264], [25, 50], [39, 64], [32, 57], [221, 246], [60, 85], [68, 93], [72, 97]]; loss = 0.129920 low_pass_filter = 10.000
+Epoch 0: | | 139/? [01:23<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=16.70, train/active_min_children_step=4.000, lotrain step 140; scene = ['c206b7bad4e2bd69', '7a82d470ad5d5855', 'c08a5ec56e05c975', 'f928d960cbfae15a', '6c7379b0be88feb0', 'cc2ee5b080780c5e', '93f6c9634e5ad304', '631caf62e5167b66', 'eeb55a861130a21d', 'a47a167922cfc6df', 'd4a97e0a52dc8cb7', '8f110752082f188c', '8b671df4b3b155bd', 'd90000318f9a8442', 'dd3bbf1f7f832e83', '1786d6d8c1da703e']; context = [[19, 44], [48, 73], [108, 133], [48, 73], [250, 275], [0, 25], [1, 26], [76, 101], [18, 43], [55, 80], [53, 78], [21, 46], [38, 63], [56, 81], [3, 28], [38, 63]]; loss = 0.117266 low_pass_filter = 10.000
+Epoch 0: | | 149/? [01:29<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=17.30, train/active_min_children_step=4.000, lotrain step 150; scene = ['abab9d091104123a', '58f47cf52ac6cd8e', '496af891d9e2079c', '5b14f5577d88ef9d', 'd317148296e2c9e7', '9fde0d7ec4b06f6c', '225e7ec65db4fff6', '01e4bd13a70c49ac', 'ff6e099a51781a35', 'd354f81b3f57bc62', '27d205da1f0f929c', 'bf2b8a204cdeb69f', 'e5812066c518f8a2', '1d035bb092fa4113', '5da7fa4de4cc06e1', 'f5ac33bf99394312']; context = [[43, 68], [217, 242], [3, 28], [62, 87], [17, 42], [37, 62], [4, 29], [1, 26], [136, 161], [36, 61], [16, 41], [98, 123], [2, 27], [33, 58], [2, 27], [68, 93]]; loss = 0.104895 low_pass_filter = 10.000
+Epoch 0: | | 159/? [01:35<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=18.50, train/active_min_children_step=4.000, lotrain step 160; scene = ['b95ffd3039761a94', '43c4c89b3414a0fc', '956df4359a5b3ced', 'bd077bfc739857cd', '252aa7d6ffb0422d', '14af89bdc75382ab', 'fc8deaf763806c66', 'c236887ce05e2c32', '20f3647b9c4356a9', '3abd72e83aac22b2', 'dd9067bcff6354f9', 'ad75e36b74f6b033', 'e0c462f81b501a0f', '0b6bc1cddcc503af', 'e68bf4919dbd4e29', 'a4cc10dede2eba84']; context = [[44, 69], [49, 74], [174, 199], [208, 233], [44, 69], [54, 79], [1, 26], [7, 32], [59, 84], [8, 33], [6, 31], [144, 169], [191, 216], [7, 32], [134, 159], [19, 44]]; loss = 0.097984 low_pass_filter = 10.000
+Epoch 0: | | 169/? [01:41<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=19.40, train/active_min_children_step=4.000, lotrain step 170; scene = ['d93de5f6c62c01f3', '3e68b6b7bb281e94', 'cb09920c02a2b6bb', '506fed97ede5adbf', 'fc8aa2c335c15eb9', '25bd820746058fb5', '37578ce7a19d91aa', '9569fcfe82105f38', '70285f05516940b2', 'c7d4d5977857ba5a', '74c2c2c5287346b6', '95bdea61f4c80624', '2bfd7a62ae051639', '716290f59cec96d4', '5460e2c24ab3b848', '9093c09d9919a5ee']; context = [[65, 90], [8, 33], [17, 42], [45, 70], [138, 163], [72, 97], [53, 78], [58, 83], [9, 34], [144, 169], [62, 87], [46, 71], [60, 85], [69, 94], [10, 35], [22, 47]]; loss = 0.093008 low_pass_filter = 10.000
+Epoch 0: | | 179/? [01:46<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=19.00, train/active_min_children_step=4.000, lotrain step 180; scene = ['59e55e5b179a50ba', '2ed33656a13829b9', '04d4fee4c437c04e', 'ea0ae256b3a02a33', '7357769abf6e270a', '2243808dcedf81c9', '7572cf78733b5e04', '8e15c3ce3989dc4f', 'cf78433dadf58175', '0832ad3a8f7c0ffc', '12f55e64a1f460c7', 'afba4de2c78eb96f', '7f172f67f7c6fb69', 'cb797cd30542e55c', '88d67718b0e0e025', '1e100eeadbff952c']; context = [[40, 65], [30, 55], [0, 25], [36, 61], [21, 46], [93, 118], [131, 156], [27, 52], [54, 79], [13, 38], [17, 42], [74, 99], [14, 39], [6, 31], [13, 38], [67, 92]]; loss = 0.088104 low_pass_filter = 10.000
+Epoch 0: | | 189/? [01:52<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=19.20, train/active_min_children_step=4.000, lotrain step 190; scene = ['dd8e5b4c898f822d', '3645515a07f57fde', '198d644c5230422f', '60c37b519a01205d', 'ee34918918062668', '629a4530b18dc456', 'dd1a25142bac8d29', 'f44cc142d9796ff7', '7a6bd2a4d2688ce2', 'cbb91d90ddc6d3fd', 'c93c5abcaf89dd0d', 'a5d23080c6b858b0', '39cafa06c9c431dc', '3d2772568f41a9b6', '7a564b61233c3fca', '73dcd9322253689e']; context = [[29, 54], [13, 38], [43, 68], [4, 29], [3, 28], [67, 92], [47, 72], [117, 142], [15, 40], [16, 41], [17, 42], [31, 56], [80, 105], [89, 114], [108, 133], [5, 30]]; loss = 0.079935 low_pass_filter = 10.000
+Epoch 0: | | 199/? [01:58<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=18.60, train/active_min_children_step=4.000, lotrain step 200; scene = ['1087329ad17df204', '5eca48d9febf5e70', 'bf4e0656a420aa9d', 'eff98653337775a8', 'a2ae856e2faf3097', '4eb73e73ca77fb11', 'a3214062cd1950df', '8f5e074629cedd06', '5be8385a860cd167', '21d88b442db5f97f', '282c3c958edab940', '8c2000c91596ea0d', '0339818f120ea7ab', '3738997e842ffe36', '281928f66836f023', '6dd5bd6445ada623']; context = [[40, 65], [22, 47], [25, 50], [29, 54], [15, 40], [42, 67], [219, 244], [8, 33], [22, 47], [23, 48], [4, 29], [59, 84], [13, 38], [20, 45], [8, 33], [133, 158]]; loss = 0.079484 low_pass_filter = 10.000
+Epoch 0: | | 209/? [02:04<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=19.50, train/active_min_children_step=4.000, lotrain step 210; scene = ['5498b21b7b980c1f', '2abe932fd9d76528', '86f3bbf2864c65f0', '2ae7890bd8231e93', '8fabc39ad677dece', '806af4d2d935738b', 'd78079ff1a0f045d', '2b132bbbc4b720b0', 'b551bb88ffea8c1d', 'b569a2f2d95abd90', 'a017de2545c81e26', '63636dcaf9b864e6', '874a7d92f2302f58', '4923656d2871e39c', '901e47c506f0d2c1', '7e7d7e538815535b']; context = [[24, 49], [36, 61], [38, 63], [234, 259], [68, 93], [118, 143], [46, 71], [2, 27], [106, 131], [133, 158], [68, 93], [15, 40], [1, 26], [225, 250], [24, 49], [1, 26]]; loss = 0.075467 low_pass_filter = 10.000
+Epoch 0: | | 219/? [02:10<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=18.60, train/active_min_children_step=4.000, lotrain step 220; scene = ['09db4e6feaea4714', 'f38d945b92c6e0e2', '6ba12d097566dbdb', '835a96da6173dd7e', 'ec2e3374601803b6', '458f38fa2ef28e63', '95cc4a86e6e8e823', 'a3687e6319f47730', '2395ecfa5327b13a', '4fcec6671d77987c', 'e308bb209941c309', '3f53a38d77a20a18', 'aad9a3b6cf7ad971', '68acc2522f558367', '6bd6d8270eee0b81', '59af7a148f0573b3']; context = [[36, 61], [236, 261], [35, 60], [88, 113], [38, 63], [84, 109], [44, 69], [41, 66], [11, 36], [232, 257], [3, 28], [26, 51], [43, 68], [190, 215], [71, 96], [6, 31]]; loss = 0.075482 low_pass_filter = 10.000
+Epoch 0: | | 229/? [02:16<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=20.40, train/active_min_children_step=4.000, lotrain step 230; scene = ['d7b308d30c7e7630', '8dd198d245a49bd5', 'b52203577bf5ab66', 'a025554e94654c2f', '590d0d46abee63bb', 'de1181d6c642e883', '558684b06f159a0a', 'd6dd35d96ec83e83', '443d63805b3fd4ef', 'b877fceeed5942d8', '125318c9856ce742', '8049eef0ee607a97', '07278d9d2d1e4e6f', 'a394ce027ea94a26', '2392a428453da5e7', '92db89e50720951f']; context = [[42, 67], [58, 83], [26, 51], [6, 31], [40, 65], [115, 140], [10, 35], [19, 44], [107, 132], [52, 77], [19, 44], [15, 40], [210, 235], [5, 30], [228, 253], [3, 28]]; loss = 0.072767 low_pass_filter = 10.000
+Epoch 0: | | 239/? [02:22<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=19.30, train/active_min_children_step=4.000, lotrain step 240; scene = ['a026ab82720e6363', '1c30239815f91334', '510c5beb7e6a13e2', '29f66f7d00d5a958', '824a7bbb922965f5', '053e55bc3666cc69', '2a9baa599c00613f', 'aa7d34a0930aaed6', '86961a46929cf91d', '8410b8c23b2c737d', '6789b17ebe4606cd', '12e0d4265e7789b4', '0a91685401b56e22', 'f6a0556897b15d6b', 'd83f2d1ffd5fd125', 'b281bf93286a0573']; context = [[69, 94], [74, 99], [29, 54], [78, 103], [10, 35], [51, 76], [197, 222], [7, 32], [38, 63], [30, 55], [94, 119], [8, 33], [53, 78], [33, 58], [42, 67], [204, 229]]; loss = 0.066040 low_pass_filter = 10.000
+Epoch 0: | | 249/? [02:28<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=19.70, train/active_min_children_step=4.000, lotrain step 250; scene = ['08127a499408b79e', '811e5be9bf8e26ca', '15cd8f43f173d0e3', 'f1f5e26cb49fd2a5', 'e1fbf58a49076d36', 'cae0139a521aa052', '19f950b6900d6176', 'eb54a14f301214c4', 'ec1090f15ec68a1e', '82347d56a4a55c27', '3e4608ca989fdf39', 'fee08c59f9bf59f8', '579a16674dbb8aad', '263c8f62a1f40965', '06beb74df9f499ab', '6fcb6588a79e44d1']; context = [[4, 29], [99, 124], [9, 34], [0, 25], [5, 30], [118, 143], [164, 189], [14, 39], [30, 55], [137, 162], [6, 31], [15, 40], [31, 56], [69, 94], [120, 145], [55, 80]]; loss = 0.066599 low_pass_filter = 10.000
+Epoch 0: | | 259/? [02:34<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=20.30, train/active_min_children_step=4.000, lotrain step 260; scene = ['7239b2a7554c75fe', '5947dd1e10a23b7c', 'fea1c01a1b763526', 'f0ae1c0ba950cd70', 'b6e320aeec7c0ba2', '3154710017640b49', 'ef1fa8ad46c8a424', '339a2912e861d13e', 'b35aad97d393ba2b', 'abe1b540708162f2', '14f5326ed459f92f', '42832be11a0bf2b5', '8c7d25a2c34e0402', 'b5a4e0980cd9c9f6', '108d63b0e7a60f8b', '5bb09c5a46c372d6']; context = [[57, 82], [57, 82], [9, 34], [16, 41], [25, 50], [10, 35], [51, 76], [38, 63], [9, 34], [4, 29], [31, 56], [67, 92], [71, 96], [9, 34], [18, 43], [38, 63]]; loss = 0.060432 low_pass_filter = 10.000
+Epoch 0: | | 269/? [02:40<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=19.80, train/active_min_children_step=4.000, lotrain step 270; scene = ['1a20aac3a317d67e', '4705db5f75ab548e', '0a3c5ae29bf2cb59', '231964ce719fed4c', '62560eba3ba6f77a', '41986a305a19ca1d', '9beaef3924b260b5', 'c63b37ec347f0d0e', '175e1611df44964f', '944e92ff3fea78eb', '52cf0ad63b78dd22', '4993c13bd0a11f24', 'ea97e5ae55e56208', '97caecafbfa7f1f6', '826d8ad6169872ba', 'a95dacbd3ea3db36']; context = [[130, 155], [37, 62], [5, 30], [0, 25], [117, 142], [61, 86], [3, 28], [10, 35], [172, 197], [99, 124], [74, 99], [47, 72], [44, 69], [71, 96], [5, 30], [59, 84]]; loss = 0.058278 low_pass_filter = 10.000
+Epoch 0: | | 279/? [02:45<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=20.30, train/active_min_children_step=4.000, lotrain step 280; scene = ['d70347e4bc080e50', '8dda78cf108c2d57', 'f6c2d79ed734958a', 'e3af760082725e5a', '37f2b83c868084df', '5627575be8e76e1d', 'eef721bc7b9f4a92', '3046f14dad8f19f2', 'cf1b9b9835b3d061', 'f0cd80abbd204b40', 'c65e2e20eff15b15', 'f1657c6128d2b332', '20a321699aab25aa', 'b5476504de893f96', 'fc36c85463412c38', 'c25194b2a961a96a']; context = [[9, 34], [134, 159], [6, 31], [6, 31], [214, 239], [67, 92], [10, 35], [18, 43], [83, 108], [12, 37], [7, 32], [5, 30], [10, 35], [104, 129], [76, 101], [13, 38]]; loss = 0.056694 low_pass_filter = 10.000
+Epoch 0: | | 289/? [02:51<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=19.90, train/active_min_children_step=4.000, lotrain step 290; scene = ['5b756acd27bfbaa9', 'dd6b426f383d86cf', 'c699a0c7b862e041', 'bd814603b3e38fb1', '774047a695fba862', '3d86d5c255821277', '0fc2d2e45645813b', '41646b4cab9e19e5', 'ab749461af5d5717', 'f22b0491bc90af5b', '67b0fe8f8f97dae4', '257c31a64a016d24', 'e81c3eda0310ba4e', '116dd0818dd9560e', '3a75651c2d3168a1', 'df11b2823a464dda']; context = [[27, 52], [14, 39], [30, 55], [148, 173], [17, 42], [30, 55], [84, 109], [80, 105], [12, 37], [30, 55], [191, 216], [24, 49], [0, 25], [41, 66], [36, 61], [6, 31]]; loss = 0.055504 low_pass_filter = 10.000
+Epoch 0: | | 299/? [02:57<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=19.60, train/active_min_children_step=4.000, lotrain step 300; scene = ['1cb3ecb30e3e9d0e', 'f0b193a824ced787', '344dc121e7a7866d', 'd5c7ba9e0a7956ad', 'b7895467f9574841', 'fb526fa7f45a3ae4', 'cfeaf7156a508877', '5692ffde04b99f08', 'ef5c5a590e9d175d', 'a530c8b4fa89b84e', '572f15c53545baaf', '6feb82e28fe110f9', 'debd6aa3bae1d248', '356ba7e96c3d9426', 'c46f3f1ddfd8533a', 'd6bd81b4a34ac00d']; context = [[65, 90], [75, 100], [71, 96], [19, 44], [66, 91], [0, 25], [30, 55], [127, 152], [15, 40], [10, 35], [96, 121], [39, 64], [197, 222], [8, 33], [19, 44], [184, 209]]; loss = 0.056834 low_pass_filter = 10.000
+Epoch 0: | | 309/? [03:03<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=20.30, train/active_min_children_step=4.000, lotrain step 310; scene = ['347a65acdefb3ab8', 'b7aeefdcf8c006ec', 'ca04de3c55cd1ca0', '53d2992e5899c3d5', '84359e8e847ad96b', '8625891ed4d0cf38', '5c4acbcb2726ae77', 'ab88a6b3b387dac9', '03a09832e1472391', 'fecda62970485d2b', '882350c0ebe1872a', '12f629409a280733', 'b92f865fbde65b1d', '8dbf79bf8fb56328', 'f81c46fec218b506', '99a11af3dcb2bd13']; context = [[13, 38], [210, 235], [122, 147], [20, 45], [54, 79], [88, 113], [70, 95], [110, 135], [45, 70], [4, 29], [39, 64], [21, 46], [0, 25], [7, 32], [47, 72], [248, 273]]; loss = 0.051992 low_pass_filter = 10.000
+Epoch 0: | | 319/? [03:09<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=19.90, train/active_min_children_step=4.000, lotrain step 320; scene = ['73fef5139753e974', '295a4324517ee9bd', 'b09e289b3dc5b7f4', '09223c50d5a39b7a', '2059d1d6c79bc51b', 'db3d51c462a54a7e', 'f7d6cec0bcd35042', '58901334e2d813d9', 'bd8103bcb04d32e1', 'd0ee747ebdd26d7f', '993a85e1b690e97d', 'f26e8a72f69b6153', 'f26c35b6e5dca2b9', '89fbc4149a5d7348', '895fe07be01436f1', 'afefafce8f467d96']; context = [[20, 45], [106, 131], [17, 42], [125, 150], [4, 29], [5, 30], [15, 40], [25, 50], [29, 54], [112, 137], [116, 141], [1, 26], [75, 100], [65, 90], [2, 27], [48, 73]]; loss = 0.049046 low_pass_filter = 10.000
+Epoch 0: | | 329/? [03:15<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000, lotrain step 330; scene = ['1835f16e1c0b9795', '301fc1c9a4462dd3', 'ea4146e3386ff1ac', '2475b5436e129d89', 'a11880fb50e63985', 'bcd63850409a4c42', '0636f8d5854771ca', '18288a196b6403c0', '0f2eebc01e8dcad3', '4c326f63354ed371', '0684c9b9769fccdf', 'fe1fc09277b8a000', 'c62b22de6a7495be', '094724dd912fed9c', '5b9edc356515b2c4', '103119c8e78252e0']; context = [[12, 37], [33, 58], [16, 41], [73, 98], [1, 26], [23, 48], [27, 52], [39, 64], [66, 91], [39, 64], [5, 30], [32, 57], [34, 59], [13, 38], [104, 129], [39, 64]]; loss = 0.049154 low_pass_filter = 10.000
+Epoch 0: | | 339/? [03:21<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000, lotrain step 340; scene = ['50d6d19613455b86', '29a47ea47b953e37', '485e4c3a23558aab', '129bba31edcccb2b', '4558408811e71246', 'f39f139a01476176', '0fa24a96d121319d', '45ab71fe50becdee', '8d89803ec0446d0e', '824e5d9fe8f9fe1d', '6549544819976e02', 'f8961efbf6e73ce5', '4c76d28a44171812', 'c9fc763ae456cd6f', 'aa69d5f0ef278bcc', '36e2f4d1de6396fb']; context = [[23, 48], [2, 27], [38, 63], [73, 98], [59, 84], [73, 98], [34, 59], [3, 28], [113, 138], [35, 60], [14, 39], [58, 83], [36, 61], [63, 88], [203, 228], [49, 74]]; loss = 0.050404 low_pass_filter = 10.000
+Epoch 0: | | 349/? [03:27<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=19.50, train/active_min_children_step=4.000, lotrain step 350; scene = ['2821faf83e638b87', 'f1c0d2a78d066bc0', '6494828a237a7a69', '1849a41079039a3a', '0762d4d82b19cc37', '64fe2e10e340ebc4', '6a2a2ff9c392fefe', '22b1b9bebc0a0520', 'a270004198eddd9b', 'ad6fa2297bbfa91c', '2c0939fba79df7ad', '4a3ff4b7939ec268', 'a5c9cbbc7e1d69a1', 'dbb7151643a69e0c', 'f1cbd0e2909c8ce7', 'c537c888e9db11fb']; context = [[61, 86], [17, 42], [71, 96], [15, 40], [94, 119], [22, 47], [23, 48], [61, 86], [169, 194], [2, 27], [40, 65], [104, 129], [27, 52], [205, 230], [150, 175], [21, 46]]; loss = 0.048169 low_pass_filter = 10.000
+Epoch 0: | | 359/? [03:33<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.50, train/active_min_children_step=4.000, lotrain step 360; scene = ['1c87d4883f49da92', '8d75d6f051b8f52e', '2a2e3da0444d2ecd', '9c70b01b66e2fabc', '73d493ff94578c55', 'ffaaeea472f10ee2', '3dc0b3372b2e13dd', '91bab928c4639b09', '6551944a93afc0d0', 'c6fa4e41f75c901c', 'f1a5f8d83353bec9', '8260ddb8f461c1fe', '2b0182cffdc9433b', 'bbaa8e8136f8e184', '6e743856adbecde2', '71fc22ad4a04cf9a']; context = [[23, 48], [120, 145], [74, 99], [133, 158], [15, 40], [51, 76], [96, 121], [44, 69], [16, 41], [41, 66], [6, 31], [102, 127], [123, 148], [36, 61], [32, 57], [0, 25]]; loss = 0.046773 low_pass_filter = 10.000
+Epoch 0: | | 369/? [03:38<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.40, train/active_min_children_step=4.000, lotrain step 370; scene = ['ad127c962ce28e63', '453abcae519671ba', 'fe1e321d59a67f06', '32e35693a999fb23', '6bef29b74b93e80a', '1b24cf4a586a15e7', '56db1d6fc942bc90', '7194b8d204f4a0b6', '4bbb9fadc993969a', '4e8e3034d0aa307b', '6acaceae77f75500', 'd91a42243deb04e3', 'a1e59c09aca976c4', 'ff87c19446c6325e', '0aa2d2048c581dff', '9e1b58ec292d6690']; context = [[20, 45], [27, 52], [3, 28], [212, 237], [24, 49], [87, 112], [110, 135], [78, 103], [2, 27], [172, 197], [154, 179], [167, 192], [59, 84], [23, 48], [145, 170], [33, 58]]; loss = 0.048688 low_pass_filter = 10.000
+Epoch 0: | | 379/? [03:44<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.10, train/active_min_children_step=4.000, lotrain step 380; scene = ['e91f5d416c3d2843', '3e80e30faedaa4b6', '674ac829bbf8f50c', '8d5c76362cfbd82e', '1adadfa4ed535f3b', '9037a2323c37f9ef', '102e45db9a58004c', 'eaf4b595a888214f', '9e80f805fd6c7b93', '27abdcbddd0180dd', 'c3062cb8fc7a0efd', 'b46547428ff2b071', '544eb83e4b6b4fc7', '321addf5693a66aa', '662bb59ab9f410a3', 'fe9c6c63360e43c2']; context = [[9, 34], [47, 72], [22, 47], [81, 106], [39, 64], [14, 39], [9, 34], [21, 46], [53, 78], [1, 26], [50, 75], [18, 43], [96, 121], [121, 146], [66, 91], [12, 37]]; loss = 0.049280 low_pass_filter = 10.000
+Epoch 0: | | 389/? [03:50<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.40, train/active_min_children_step=4.000, lotrain step 390; scene = ['2702020b31c28210', '79a763e5b64e4f45', 'de783427084a7fc8', '3731e5cc943c4ec0', 'cc80de7991d73ab0', 'b71a0cb9f4143a6e', 'bb28a1c09df8a484', '59ae8e2d2504d760', 'cc061ca8d139f499', 'c2162040f6db4d2f', '4fe4fc34f41764a4', '4858dc374c4fca93', '0069fbbde9f77bf8', '45a74c68ea76c91e', '83d4b54aeee30945', '2b58d1bbfac7511a']; context = [[62, 87], [7, 32], [22, 47], [22, 47], [45, 70], [101, 126], [88, 113], [101, 126], [48, 73], [86, 111], [139, 164], [27, 52], [121, 146], [26, 51], [7, 32], [8, 33]]; loss = 0.047276 low_pass_filter = 10.000
+Epoch 0: | | 399/? [03:56<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.50, train/active_min_children_step=4.000, lotrain step 400; scene = ['efedd66257d1adf0', '34bd9723166c9978', '48c2b63b452555af', '94323b4cd6a95a9a', '80b044471fd710b5', '8f243590d88e28db', 'b2c65f94460ad653', 'aecfc6c8ebc6c15e', '8839e65c6f6bb394', '1fe4a6141969e60a', '509210a9f0f87e8f', 'fceff078ea39c8b4', '17a43ba9a8843508', 'badfd7edf4b25b37', '771c99720c383982', '74e22e2724cb0a9b']; context = [[29, 54], [52, 77], [47, 72], [189, 214], [29, 54], [75, 100], [97, 122], [2, 27], [51, 76], [36, 61], [76, 101], [34, 59], [18, 43], [240, 265], [21, 46], [132, 157]]; loss = 0.042138 low_pass_filter = 10.000
+Epoch 0: | | 409/? [04:02<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.10, train/active_min_children_step=4.000, lotrain step 410; scene = ['9fce6892002b07be', '1f4f12476af5c871', '4aef5d4b9287e08a', '8db516061dca4e75', '3b560e3220235444', '78bfcb719521a42d', '5c907b99b4003976', '5b86537af9058e2d', '2db04fecf76095b6', 'c05a15168d4c3332', 'e24323b82d0671c2', 'd2ad156576e078cc', 'aa4938d7f2fd0a1d', 'e4fc6fa4bbd6efa1', 'c05fd148d2da6d26', '72d7ff49071fa801']; context = [[88, 113], [8, 33], [18, 43], [18, 43], [0, 25], [82, 107], [183, 208], [64, 89], [6, 31], [54, 79], [24, 49], [3, 28], [137, 162], [4, 29], [59, 84], [74, 99]]; loss = 0.045188 low_pass_filter = 10.000
+Epoch 0: | | 419/? [04:08<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, lotrain step 420; scene = ['53b47cb89ee91160', '7220014865edc948', '9296168b518b720b', 'cf14d94f41c6e825', 'd159debd3f3ac5ec', '12fa5b60a2ba9d8f', '64ae75e57c6aa0a4', '430d79082d999336', '6f9088cd9c755fb0', 'c654f15dda47ab5d', '1a0af7635585892a', '3729cab2867e7a06', 'ea51f71d8dc1e7b2', '7e6d320ac85bd57c', '20b2bb20840251c6', '5fcab1686e38f61c']; context = [[94, 119], [223, 248], [26, 51], [13, 38], [1, 26], [37, 62], [136, 161], [67, 92], [40, 65], [9, 34], [53, 78], [12, 37], [28, 53], [20, 45], [43, 68], [19, 44]]; loss = 0.044731 low_pass_filter = 10.000
+Epoch 0: | | 429/? [04:14<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, lotrain step 430; scene = ['1c7d5cf7a1e08139', '82d896f5142ee6dd', '764206404e317c51', '61c9b6540aaa5884', '11b74ef19465ab45', '409b268729c0a86d', 'd1f583b4b527fefe', '6570d802b2f69e4b', 'e46623a7d46b50d6', '12503cac61ce326e', 'adff1244e7025d77', '014d6d0fdfb6393e', 'a8dd4730a65f88fd', '08f56d6e5878317b', '723db63d24c84d1d', '8032cb2f4ac9e342']; context = [[7, 32], [72, 97], [15, 40], [36, 61], [2, 27], [14, 39], [77, 102], [222, 247], [12, 37], [150, 175], [54, 79], [15, 40], [30, 55], [16, 41], [90, 115], [56, 81]]; loss = 0.047145 low_pass_filter = 10.000
+Epoch 0: | | 439/? [04:19<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=19.80, train/active_min_children_step=4.000, lotrain step 440; scene = ['cee46b2523a45a59', '78f54b16f8204c3a', 'ab964b6b003ae5e8', '3a192914348dbd61', 'b1473420a788c688', '4a43e0185c382de7', '3e5be575ccb0f6dc', '0f8ad14bb4088d81', '4af74f4ff7c54a9b', '31f279e32e497154', 'dc077856d79ff04c', '59689345260b0920', 'c7876e0ce303f492', 'ede1a18c89abe3dd', 'c95f1f846f48d813', '739b8ee920a178e0']; context = [[87, 112], [44, 69], [10, 35], [33, 58], [4, 29], [66, 91], [100, 125], [122, 147], [207, 232], [74, 99], [53, 78], [65, 90], [44, 69], [37, 62], [124, 149], [117, 142]]; loss = 0.040604 low_pass_filter = 10.000
+Epoch 0: | | 449/? [04:25<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, lotrain step 450; scene = ['0be2e01e27a683b0', 'a0e4abe253996ea2', '0120521cfa518c34', 'b2a34524405f79ff', 'a1b7ad951995dadd', 'c338cd1e105943ae', '913f87b9648dda52', '3b4d6384abe5561f', '2dd8ae2b71457753', 'f001500643d191d6', '124c9f059bef0478', '23f93bec3ac52e4c', 'f1e8c1b674d290ec', '9bb10fc846b3d2b1', 'fbae7bcc4ca44675', 'ec1dcf652eae675d']; context = [[16, 41], [38, 63], [36, 61], [87, 112], [3, 28], [24, 49], [44, 69], [63, 88], [44, 69], [103, 128], [161, 186], [109, 134], [39, 64], [122, 147], [18, 43], [51, 76]]; loss = 0.071966 low_pass_filter = 10.000
+Epoch 0: | | 459/? [04:31<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.10, train/active_min_children_step=4.000, lotrain step 460; scene = ['22062ed897320134', '8b8f7cd56fb6a696', '11c47219c153c014', '20fa2a9557a949a9', '402071c2b1550820', 'f8a24a1cae5ae861', '591277853eb83777', '71b9b21424e1cc97', '1d4ffe48542eb14b', '6c5d6b6468bc196d', '94f4529096d17f25', '130e2bd2cf4084d7', '7bc09504a215e592', '98fa652433a9a8b7', 'acea865775134a18', '392b692c8c3f4e5f']; context = [[8, 33], [2, 27], [120, 145], [25, 50], [163, 188], [232, 257], [62, 87], [44, 69], [172, 197], [250, 275], [22, 47], [106, 131], [178, 203], [42, 67], [17, 42], [71, 96]]; loss = 0.047594 low_pass_filter = 10.000
+Epoch 0: | | 469/? [04:37<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.30, train/active_min_children_step=4.000, lotrain step 470; scene = ['338d0fb7e58dd4a3', '778eaeaaffc6107d', '9dda63b4544559e9', '34461872e645d034', '0684f42098862b74', '0c7171edef36d44d', 'ebde595b532cf60c', '24649be0dd272ffc', '52e13717e8b9393d', 'ee6e5709a57be759', '466666b6242e3081', 'e4e0a2c744fcabd0', '5eeb2c7cd1bd78f7', '409dc0e5cbdbe442', 'db84572032e69dc0', '395b1c86e35e8d93']; context = [[11, 36], [13, 38], [25, 50], [89, 114], [27, 52], [119, 144], [106, 131], [123, 148], [32, 57], [195, 220], [18, 43], [52, 77], [6, 31], [102, 127], [9, 34], [30, 55]]; loss = 0.043184 low_pass_filter = 10.000
+Epoch 0: | | 479/? [04:43<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.40, train/active_min_children_step=4.000, lotrain step 480; scene = ['a134112256d679ba', 'ea334cb643e07603', '8ccc670b427d277a', '40c5311e3b3accef', '4277d8783b6a046a', '91599919681fac69', 'a01c907f0070d11d', '896854a5d7c5179b', '9af7c151a7ca6d00', '5d14e2fa2974d6df', 'a6161601e3a76aa9', 'caee640343f2dc58', 'b9e8ae6d34748bc1', '496e2618d0fb9556', '1b4bf9a4a458e0df', '9810e48786be9e3d']; context = [[8, 33], [32, 57], [20, 45], [140, 165], [39, 64], [156, 181], [59, 84], [16, 41], [159, 184], [25, 50], [153, 178], [124, 149], [78, 103], [43, 68], [25, 50], [144, 169]]; loss = 0.045781 low_pass_filter = 10.000
+Epoch 0: | | 489/? [04:49<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000, lotrain step 490; scene = ['d02e6b104723d39a', 'b9b73f46f1e5127a', '1290f3a6418b3dde', 'a535813b18e86b5c', '33e825f8a32b472f', '6a417181b27738ac', '53a2168e29e700dc', '91ac7d7027dcc46d', '57cea8a71cab48cf', 'de8093f620537a4e', '051c6fc0722d51f7', '1318e656455d56d2', 'b86ade7fa8b48715', '289adac94281ccb3', 'b43b9870fd778691', 'ab1ba9f15e793ef9']; context = [[144, 169], [0, 25], [217, 242], [37, 62], [23, 48], [4, 29], [50, 75], [47, 72], [49, 74], [52, 77], [25, 50], [85, 110], [2, 27], [35, 60], [45, 70], [76, 101]]; loss = 0.041683 low_pass_filter = 10.000
+Epoch 0: | | 499/? [04:55<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=19.60, train/active_min_children_step=4.000, lotrain step 500; scene = ['0f35ceaf227ff187', 'e23f945703f61bfc', '7277bcf45f9b2f21', 'd77fc60af718d2e2', '9bebde67fd28d7c2', '0645a4e5ad941af4', '99271aa47d803a6f', '4dd424a2e0a97403', '81431041a033fbc8', '6883aebc73cdcd2a', 'e3ab34faf834f40f', '4986da6c3f01c2bb', '33733a6eb9850264', '57a8005cadd17369', '63c3f51245b29666', '25c60ef8ca347ede']; context = [[4, 29], [4, 29], [131, 156], [76, 101], [59, 84], [78, 103], [171, 196], [100, 125], [51, 76], [155, 180], [30, 55], [52, 77], [160, 185], [150, 175], [33, 58], [53, 78]]; loss = 0.043446 low_pass_filter = 10.000
+Epoch 0: | | 509/? [05:01<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.60, train/active_min_children_step=4.000, lotrain step 510; scene = ['a5ec396329b37a88', 'dc02e89f277cc130', '9af18a1c4c45a179', 'd2443f80e34394ff', '1a7af026101df102', 'ff70172dd4ad43ec', '11dc92ba5c0e1ac3', 'bb0c96ae5026135d', 'a62bd02a1223b0e5', '625ef197fa165c4a', 'c2bf5ee569ba3681', 'a33838d396af29c0', 'c911c92ac370270a', '347f4e7f9f627a12', '5450eb5614d8af42', 'aa2ee5c4626a6c43']; context = [[1, 26], [43, 68], [109, 134], [21, 46], [36, 61], [95, 120], [58, 83], [31, 56], [21, 46], [65, 90], [39, 64], [94, 119], [175, 200], [29, 54], [9, 34], [47, 72]]; loss = 0.045589 low_pass_filter = 10.000
+Epoch 0: | | 519/? [05:06<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000, lotrain step 520; scene = ['59e7800dec3fa9f5', '3ad7fc9a83e3e883', 'a5bcf7c72eb10c48', '89c03784240911c9', 'a24b9835a33fb46e', '4da0f9a3b1ca2560', '19bd0f9c48f069eb', 'c8e5ea381a7de099', '521aa01f117a1f3d', 'a9a1efdde077861a', '009e573e59c8c393', 'fda481eb3ffc890e', '701c95afe128e0d0', '586e189a8bb53cd8', '4c952c27612a3ac7', '997656bdb430ad43']; context = [[13, 38], [0, 25], [39, 64], [64, 89], [88, 113], [28, 53], [54, 79], [1, 26], [66, 91], [38, 63], [115, 140], [47, 72], [74, 99], [75, 100], [39, 64], [21, 46]]; loss = 0.040462 low_pass_filter = 10.000
+Epoch 0: | | 529/? [05:13<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000, lotrain step 530; scene = ['d7e416701d1c4272', 'b9076a13bb94860c', '15536452f9b95c1f', '532786fdf5fd727d', 'a8abd4eeea08e1ad', '30bdb9819e21fbd1', 'b1aa2a14c16deaa1', 'b6974cc96a02e9e6', '05efd1fc549ed5f2', '12adbd00ee2b3fcc', 'a48e4e90b76cc3a3', '4eb66b49aeb1d641', '7043e8afce176c8c', '916572369a42b51b', '4e69d635ba8e495f', '12a8561544c97948']; context = [[86, 111], [13, 38], [179, 204], [12, 37], [73, 98], [84, 109], [84, 109], [24, 49], [24, 49], [32, 57], [132, 157], [19, 44], [7, 32], [205, 230], [4, 29], [108, 133]]; loss = 0.041740 low_pass_filter = 10.000
+Epoch 0: | | 539/? [05:18<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000, lotrain step 540; scene = ['35e2e0c67e738b87', '605c98b35d15551d', 'e9b9ad20889455df', '73df004467108123', '41d454a6a4ccc3c6', 'ab03c2979623d6cb', 'c1628e1f1e308fb6', '5fc14076d0059d8a', 'c3f1d0f6da5ce21d', '3985b66cc91776eb', '36d957c25ce3a65d', '1a402532663d05ad', '4af1f08d7b5d1523', '837d2467631c6e6a', '6545dab9a4699ef0', '7eb0dffcddc1722c']; context = [[168, 193], [121, 146], [38, 63], [0, 25], [98, 123], [72, 97], [7, 32], [114, 139], [217, 242], [71, 96], [189, 214], [144, 169], [35, 60], [26, 51], [35, 60], [60, 85]]; loss = 0.042626 low_pass_filter = 10.000
+Epoch 0: | | 549/? [05:24<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.60, train/active_min_children_step=4.000, lotrain step 550; scene = ['ab8e80684547f15c', '8de0c4ae0c5bb988', 'aee9e4231eda0fdb', '59ee32c2dccc3dba', 'b210bb589468fb4d', 'dc5f38f005c3ebd6', 'e2ce81d901cdd6c7', '08527853c5cf3f4d', 'e09c7a12828e1b49', 'b113c611f9029c49', '340688cb63ead6f6', 'bae2d6272431c8eb', '7ffd821c6ca83444', '05d0fcfbe36d261f', '50c8b8855897d03a', '5e68140473b7fb10']; context = [[8, 33], [30, 55], [25, 50], [146, 171], [74, 99], [80, 105], [29, 54], [1, 26], [100, 125], [20, 45], [48, 73], [145, 170], [6, 31], [37, 62], [47, 72], [12, 37]]; loss = 0.038024 low_pass_filter = 10.000
+Epoch 0: | | 559/? [05:30<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, lotrain step 560; scene = ['60a584cf224950a4', 'c38835db6bec2825', 'b86f88d0d21318cd', 'c0e9d9f4f60169e0', '3ec1eeba0cc084af', 'f8ee5a395e856a9d', 'c532c6f1dbe975b7', '34037b62eef60172', 'b5f39f444ec03cee', '7c6d160c26de6887', '0f0bbb6510ca3018', '99e9f09b456ef23e', 'c49bd62c183dd925', 'd066040e500bd58b', '87c9128b943f1b3f', 'b07a54eda9cdaccb']; context = [[21, 46], [81, 106], [61, 86], [21, 46], [69, 94], [4, 29], [14, 39], [30, 55], [95, 120], [144, 169], [33, 58], [22, 47], [12, 37], [1, 26], [26, 51], [74, 99]]; loss = 0.039801 low_pass_filter = 10.000
+Epoch 0: | | 569/? [05:36<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, lotrain step 570; scene = ['43cd8bfd1bada381', '2c3bc0c318fa3771', '9a2d4c60e9585ed7', 'b7873e1ebdb5721f', 'ea2343e4a390441b', '95cd0bad15de18a9', 'aa801c6cfb72fdf8', '51e99330cbe8b36a', 'cb3bac70297d52c0', '04de1a4925ce16a7', 'c2648243586329ba', '699dc0e0cbd1d2d5', 'ff4fb430b2108b32', '6dd73ce2d44e63de', 'd73dae9e6ffe86dc', 'f0db130b452071e8']; context = [[0, 25], [20, 45], [96, 121], [76, 101], [37, 62], [77, 102], [14, 39], [38, 63], [153, 178], [64, 89], [49, 74], [208, 233], [8, 33], [84, 109], [29, 54], [3, 28]]; loss = 0.040536 low_pass_filter = 10.000
+Epoch 0: | | 579/? [05:42<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, lotrain step 580; scene = ['503b736751827a0b', 'a5b3faa684a1553a', 'cbae7b8786bec1e4', '31c1855b8ad30220', 'a772b5f2e834d70d', '162daefc4ddae544', '363ee2c7afc81e84', '7dcdecb79cbb1334', 'e4d86068c95e0922', '4ec29bd9dfd30c2e', 'b0f5b20c5724e592', '31411305ea3662c6', 'fe8c395dd70d4844', '3bee0daad1cc6c0b', '9a89163b62f0a058', 'b9277bf4125499a0']; context = [[10, 35], [35, 60], [185, 210], [91, 116], [231, 256], [20, 45], [100, 125], [63, 88], [176, 201], [26, 51], [1, 26], [144, 169], [148, 173], [153, 178], [166, 191], [138, 163]]; loss = 0.040514 low_pass_filter = 10.000
+Epoch 0: | | 589/? [05:48<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000, lotrain step 590; scene = ['bd006cf0a751d205', '4d48befa72535f0a', '2147da0f465a3566', '8b12ac02ddbe40cb', '8481bc2172478625', 'e454026f5348630e', '201e44ad015728c7', '9029d8d8f6f0e98a', '307049b9515d7ee6', '95b1deb2d645f275', '3c418948bc7076cb', '28cab3659a1510a8', '6666ae9375b1656e', 'fd4d668123665d1f', '46d11fdef3f136d3', '3323fc8b3b6bccbc']; context = [[70, 95], [131, 156], [17, 42], [14, 39], [82, 107], [46, 71], [132, 157], [112, 137], [121, 146], [89, 114], [27, 52], [42, 67], [39, 64], [233, 258], [112, 137], [25, 50]]; loss = 0.042562 low_pass_filter = 10.000
+Epoch 0: | | 599/? [05:54<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000, lotrain step 600; scene = ['80f5da17b4119bbf', '93416bc86e84f4c5', '91722542cd063407', '93e09aeb0a7c54d4', '63f6e847b2e2a2e7', 'a7957a1e2b7ad909', '1045f4f8fd6bdd09', '982da008194b287c', '8d758914077e5926', '6cee4547c99f248b', '4a0f95a3db913b56', 'de8ef03bc3c49125', 'be6ab5e68b93a77e', '4b2e9dd96e4d8542', '8cbb325cdb64a928', '8e129a4801a9f632']; context = [[247, 272], [152, 177], [71, 96], [6, 31], [112, 137], [47, 72], [54, 79], [3, 28], [105, 130], [15, 40], [171, 196], [11, 36], [21, 46], [73, 98], [0, 25], [54, 79]]; loss = 0.038701 low_pass_filter = 10.000
+Epoch 0: | | 609/? [06:00<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.40, train/active_min_children_step=4.000, lotrain step 610; scene = ['e53ec34eab835d44', '180608332f0b1b2a', '2225123ef31a93e4', 'accfed2fa6ff849d', '75e5ba7e7fb64fc0', 'd0aafe6b7593a8c6', '89b54f912927a60b', 'ac5df5f432218bc1', 'e0b48fb2ddbbe96b', '430ed582e79c5bab', 'dbc96a6d523c159f', '61d8e6311f28fae8', '36df4bc97cbd94f0', '179fbbbcc3e6e195', '448e12a47b369490', '57a522ee28c2896f']; context = [[9, 34], [100, 125], [124, 149], [17, 42], [90, 115], [45, 70], [79, 104], [22, 47], [59, 84], [94, 119], [63, 88], [90, 115], [27, 52], [30, 55], [47, 73], [65, 90]]; loss = 0.042119 low_pass_filter = 10.000
+Epoch 0: | | 619/? [06:05<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.60, train/active_min_children_step=4.000, lotrain step 620; scene = ['478386221245bac9', '04c740af3de5ae4c', 'bea0e295ee56d42c', '986d6bdd6646acbf', 'bd0f82f93d5693ca', '52aa7676145d5273', '56d0236a2c56b534', 'd1300efa0f9232ac', 'f6a68923ac68bc4a', 'f8f0491a2268ee5e', '6e637d0641b0d845', 'c956b44c983826de', '0abbdaad60ccd753', '27cf7ba27eed1eae', '14b48961c5e1364c', '1fe3e0dfb0bebffe']; context = [[49, 75], [28, 53], [59, 84], [44, 69], [97, 122], [47, 72], [63, 89], [37, 63], [65, 91], [10, 36], [93, 119], [146, 171], [0, 26], [17, 43], [67, 93], [4, 30]]; loss = 0.040643 low_pass_filter = 10.000
+Epoch 0: | | 629/? [06:11<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, lotrain step 630; scene = ['53e532801bd44085', '69fc02421193302a', 'a5822c29e761ba5a', 'af7f730cb84dc631', 'f344839ca7c971b7', 'd3dddf816450d1d0', '59a2ea0122aa4591', '030d035ba47fecc3', '41c2debbaa89e15f', '0e9005332bd00350', 'f23d671496254ef5', 'f12268aa63c53837', 'd38fcceec78870bb', '458d2a1fcd766d41', 'd2753ca4cb61778d', '33c23461406aadc8']; context = [[31, 57], [91, 116], [18, 44], [155, 181], [104, 130], [81, 106], [88, 114], [30, 55], [115, 141], [29, 55], [106, 131], [44, 69], [8, 34], [2, 28], [4, 29], [30, 55]]; loss = 0.040306 low_pass_filter = 10.000
+Epoch 0: | | 639/? [06:17<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, lotrain step 640; scene = ['7faf1c350d3f1f12', '5746d03325bf70d3', 'a6dbaee66b58a994', '2289780f7fdb5091', '35a67ce0f0a56dea', '4e11b2499f900054', 'b97d670a564c4f01', '5704ff301c085eb6', 'bbb0e9da2dddcfce', '33847bd0ad0529bd', '2ff050f5f09529d0', 'bd70de468feeaf26', '7b3ed343513dc1ba', 'ad1b9085098baa13', '8fa1f01dcf1e67ec', '874157e6587dd60c']; context = [[27, 53], [118, 144], [6, 31], [82, 107], [2, 27], [47, 73], [60, 85], [144, 169], [22, 48], [2, 27], [1, 26], [20, 46], [0, 25], [0, 26], [46, 72], [13, 38]]; loss = 0.038038 low_pass_filter = 10.000
+Epoch 0: | | 649/? [06:23<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, lotrain step 650; scene = ['2c0f63521c7e23c6', 'd11dfc2d4c7f412c', '26efd6cf15fcdd57', 'ed5029418049d85e', '600470a337c98190', 'd8eb3a556fde4131', '65134afb11a85252', 'a00a4bace03ba9b9', 'fd3490bd670b5b80', '95281743bb229945', '54f68167ea012743', 'aadfba62f23cd2d5', '67d059492bf13057', 'bebcc76384ce0054', '5f2d539c6dcc0a82', '7abd2cf015e33118']; context = [[7, 32], [10, 36], [32, 58], [73, 98], [179, 205], [14, 39], [46, 72], [4, 30], [9, 34], [24, 49], [59, 85], [24, 49], [86, 112], [52, 78], [158, 183], [48, 73]]; loss = 0.037073 low_pass_filter = 10.000
+Epoch 0: | | 659/? [06:29<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, lotrain step 660; scene = ['a9272405ceec0be2', 'd77284dc9b9d1031', 'c270572a7f5ea828', 'ee28455c2e76ef79', 'bdb2281a7c9f1ce5', 'f14721fab585c585', 'd011c2b2ac6ccc0d', '4412131879034bc2', '460d2009e8c97d4e', 'afd2942e07cd0a89', '3281beb44b21ae80', '874e813188a281e4', '175b05b368c133e7', '5c399d154f879440', '29ad06f3162b2bc1', '35fe94a6f4b752b3']; context = [[26, 51], [14, 39], [102, 127], [182, 208], [16, 41], [43, 68], [56, 82], [29, 54], [103, 128], [22, 47], [64, 90], [75, 100], [26, 51], [21, 46], [27, 52], [5, 31]]; loss = 0.036849 low_pass_filter = 10.000
+Epoch 0: | | 669/? [06:35<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, lotrain step 670; scene = ['9a94e71cea472790', 'bea3977d3073b2d2', '276de289278edacc', '0304b78786c9cc4f', '56f957c4bc88fa94', '78ca16a59dd41338', 'bedc784fb1794f8c', 'a61c8d77fdac60ca', 'f00a77b3b162ac4b', '4f0b9b05ed188565', '1fe4a6141969e60a', 'badfd7edf4b25b37', '856ff8cdb67ce060', '771c99720c383982', '42b2dabdc5ea4d93', 'cf0f25dfe419c0e5']; context = [[40, 65], [82, 107], [7, 33], [90, 116], [26, 51], [191, 217], [40, 66], [220, 246], [33, 59], [46, 71], [13, 38], [88, 113], [219, 245], [26, 52], [82, 107], [69, 95]]; loss = 0.038196 low_pass_filter = 10.000
+Epoch 0: | | 679/? [06:41<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000, lotrain step 680; scene = ['dbd909b37336a7d4', 'a5a9c7400a09168b', '91ea7e8b11190fdc', '575979a8750fbd67', 'b09331320276c019', '4a3fd9a21123f197', '3ba6e1145c8b37a9', '839b542ef0c0696e', '02a36358f7cff958', 'c0e29365bc5f76fa', '5b4ae8c5f7349c17', 'df607878c3beffe9', 'f62a48672f8acac7', '97568a7f147a654f', 'f63942420154ff92', '632384f4c6834aea']; context = [[26, 52], [14, 40], [19, 45], [23, 49], [28, 53], [11, 37], [28, 54], [57, 83], [91, 117], [11, 37], [109, 134], [2, 27], [17, 42], [9, 35], [224, 249], [105, 131]]; loss = 0.037169 low_pass_filter = 10.000
+Epoch 0: | | 689/? [06:47<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000, lotrain step 690; scene = ['668011916dfc9762', '6e23ea0adefdcdfe', '0fef731ee5f47c37', '8d45251c07bebb7b', 'ef8353177113530f', '400098a7ab312bdc', '4f2295416524f95e', 'dc48281d021ea939', 'c61d93b01fd6e377', '17f8f8682a86f190', '6a089a1af0cd47d3', '8044c8eaddd8149d', '7665ff641f430aa5', '882c2c3ccb2f06c3', 'e41c98366fe40b7b', '21e7ab7fe9d8753b']; context = [[15, 41], [53, 78], [8, 34], [36, 62], [52, 77], [51, 77], [19, 44], [69, 94], [38, 64], [128, 153], [6, 31], [91, 116], [124, 149], [33, 58], [27, 53], [48, 73]]; loss = 0.040816 low_pass_filter = 10.000
+Epoch 0: | | 699/? [06:52<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000, lotrain step 700; scene = ['e9f0dce281fc1ef2', '7eba39d96769f1f3', '92cffae82bfb22ce', 'e1eaaeb084992db2', 'a987dc34de0f7d8b', '8ca0262e75fd9f8b', 'dd0418fa73c25b1e', 'fbfb9866efe5bf64', 'dd409b33f3f5c29b', '644baf494fab7ff7', 'd81f183e644ae7fe', '88b43de931cc94ac', 'fad05546fba5dace', 'bbf7acd688e96278', 'dca4d9700ae80a91', '6ac14f7de01b3021']; context = [[9, 35], [158, 183], [29, 55], [89, 114], [42, 67], [25, 51], [19, 45], [45, 70], [174, 200], [64, 90], [3, 28], [43, 68], [24, 50], [3, 28], [2, 28], [40, 66]]; loss = 0.038547 low_pass_filter = 10.000
+Epoch 0: | | 709/? [06:58<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.30, train/active_min_children_step=4.000, lotrain step 710; scene = ['7a1a5b280aeed1d1', '3ca192a6f7bd3055', 'b87f3bd2e5b947d9', 'b08fff272e1c806e', 'e40db329b18cfe34', '96405403953c2a44', '9d9e27f41396c20c', 'cb7ba36fbae70c01', '721707ada01bdffe', 'aa9daba10b590900', '0209fa7ef8a06022', '2f0a6c64c44f9979', '89ad52b52eb4ba60', '885587f42ee4e11e', '88b8bb15bd256558', '3d928d1613742585']; context = [[195, 221], [4, 30], [164, 190], [21, 47], [171, 197], [13, 39], [68, 94], [44, 70], [99, 124], [8, 33], [4, 29], [121, 146], [10, 35], [13, 38], [9, 34], [13, 39]]; loss = 0.038656 low_pass_filter = 10.000
+Epoch 0: | | 719/? [07:04<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000, lotrain step 720; scene = ['ee3c9edbf6eedea9', '8a39c6b779b31dd4', '68320cab3a271ea3', '43544bc50a0d09ee', '494a0bebf7e6139e', '8a37947c1ad8c097', 'b20f139496853291', '14a700b34bfafc6f', 'fe1fe887ee20d877', '10491baf9035e557', '651e203d4e42216f', 'a2b08d5c241d54ec', '3c1022cc42279d6b', '218723a8059f18ac', '9f4b04caeaccc100', '26197c5e7d9e117e']; context = [[17, 43], [4, 30], [112, 137], [30, 55], [47, 72], [10, 36], [32, 57], [15, 40], [60, 85], [22, 47], [58, 83], [5, 30], [0, 25], [6, 32], [1, 26], [53, 78]]; loss = 0.039979 low_pass_filter = 10.000
+Epoch 0: | | 729/? [07:10<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, lotrain step 730; scene = ['a57232a4ef2ec923', '564a9a401e37c50b', '53e05632cb9141bd', 'df869fb963216261', '6744c1cf4e4dee91', '509496bad5a12f79', '06917bbe38912ea3', 'e92e4346a6224492', '9a725436379352e6', '5e55a38946593552', 'c5603a5e8498a827', 'f5338d00f9c021a3', '2cc2af36e6bb9fed', '547ebf48151eef4d', 'f603fb7c184a9103', '31304e5e03a0a335']; context = [[54, 79], [54, 80], [49, 75], [8, 33], [186, 211], [20, 45], [162, 188], [2, 28], [21, 46], [53, 79], [32, 58], [179, 204], [43, 69], [59, 85], [73, 98], [236, 262]]; loss = 0.037180 low_pass_filter = 10.000
+Epoch 0: | | 739/? [07:16<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, lotrain step 740; scene = ['f8ff67683c2323b8', '070e03b0709a0c7a', 'dfb585600cfa6d6e', '8062e068d364879e', 'bbb9d583807930d7', 'e68962be9d5fa78b', 'c098a117d37c1b11', '75d62d0707d1240e', 'c8b2e4d3f9fe541a', '67353f28c5452f17', 'd4aac0088971ad5d', 'a39b07c625f4fbaf', '086fc9b0951ac9ff', '42e11bb83f385317', 'adaa895408584f36', 'f52ea4df10c6472b']; context = [[122, 148], [76, 102], [89, 115], [122, 148], [143, 169], [63, 89], [224, 249], [86, 112], [18, 43], [23, 49], [67, 92], [160, 186], [92, 118], [56, 81], [150, 175], [11, 37]]; loss = 0.036708 low_pass_filter = 10.000
+Epoch 0: | | 749/? [07:22<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, lotrain step 750; scene = ['3ca9f2ea058b7220', '032961ac14c9b53a', '90a599cbae3f7f49', '4be99782bb201a87', 'd5a3940bb6a3363e', '31f802c4d94b2a8c', 'fb46a820975c2449', '17305b0b98053dee', '9c437a1ff26fc63d', '4bf92848b7ed1bcd', 'df21bcc5b49bc2bd', '3de485eddabc0ae8', '39d39ebdd5959a48', 'f7fd59b61fd90975', '77cba126c83354bb', '23997b17e26ba688']; context = [[7, 32], [79, 105], [100, 126], [24, 49], [134, 159], [84, 109], [57, 83], [227, 252], [202, 227], [15, 41], [1, 26], [11, 36], [142, 167], [44, 70], [2, 28], [16, 42]]; loss = 0.040659 low_pass_filter = 10.000
+Epoch 0: | | 759/? [07:28<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.50, train/active_min_children_step=4.000, lotrain step 760; scene = ['f00a0701904b2128', 'c4bfdf6f3a6c774d', 'baaba9c7644ef952', '55671e2db4657b00', 'b4bbab891a72ff1f', '390c8df752d7b22e', '756790007006f209', '05846e2bbc1ea5e0', '60f92bcb07109c4a', '0cd0baf1a9e3847a', 'b3e02abe2e692d4f', 'f35b530672b42ba5', 'f8e32278bb006569', '693db81439adb0d3', '65410d22f0d980f7', 'fd8dec4cd31f64b8']; context = [[1, 26], [17, 43], [23, 49], [153, 179], [0, 25], [18, 44], [26, 51], [3, 28], [9, 35], [9, 34], [1, 27], [42, 67], [32, 58], [24, 49], [32, 57], [4, 30]]; loss = 0.037281 low_pass_filter = 10.000
+Epoch 0: | | 769/? [07:34<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, lotrain step 770; scene = ['ab6103c00d052f04', '7f4c7bd5a9e3cddd', '331af0d1363e80b3', '4d5af03e77b032ba', '95307cda066e2664', '1dbd139488ac84b3', '8b7378a3996ee778', '26b8065adc153c13', '2a4fe9d5f507d831', '548ad1b923e633d8', '92a1f3ab5dbe634e', '4e437d66420067c2', 'c3165a339b9a09e5', '4e4985c5a76ac0e5', '5ac80497fad02a9a', 'a0f148d59958f742']; context = [[5, 30], [200, 225], [46, 71], [2, 28], [223, 249], [21, 46], [8, 33], [1, 27], [67, 92], [171, 196], [21, 47], [30, 55], [71, 97], [71, 97], [82, 108], [38, 63]]; loss = 0.036301 low_pass_filter = 10.000
+Epoch 0: | | 779/? [07:40<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, lotrain step 780; scene = ['1d80884a4b201f28', '1fba7a1a16edf7db', '2bf2121510674b04', '04c4c5a25b4ccb21', '17d74baebc458fb9', 'edf8fdfe10fb893c', '77a0fdc6389de36b', '90686fbf5ca9bd0a', '232da3c3c432bcf5', '2804817967c9ab8b', '34769f82ff4b286c', '4df2a98cf2678d8c', '2eacf9db1843546b', 'c1f32a7a7ec37d39', '6187332401a328eb', 'c495f01f294333ee']; context = [[23, 48], [114, 140], [142, 168], [4, 30], [53, 79], [206, 232], [35, 61], [16, 42], [103, 129], [166, 191], [10, 36], [106, 131], [14, 39], [15, 41], [164, 189], [3, 29]]; loss = 0.043977 low_pass_filter = 10.000
+Epoch 0: | | 789/? [07:45<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.30, train/active_min_children_step=4.000, lotrain step 790; scene = ['0cbf1454a4391523', 'f3b24cf238154fc0', '9bb0448e7cb2f733', 'dff181c503e5c202', 'f0b0c2b2fa790b94', '4b30f3b820875a1a', '4a218ddfc3698ca8', 'bc34ecfb3c809d97', 'bca757afa6825a39', '75f7df7e153bb467', '51ba892c38152086', '84335596c296225a', 'c121bf6c2929cfe1', '1e796863c062efaa', '995f249ace489797', 'edc39c2e54f4dd24']; context = [[8, 34], [22, 47], [28, 53], [108, 133], [12, 37], [28, 53], [43, 68], [67, 92], [13, 38], [45, 70], [69, 94], [126, 151], [30, 55], [14, 40], [10, 36], [12, 38]]; loss = 0.035535 low_pass_filter = 10.000
+Epoch 0: | | 799/? [07:51<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, lotrain step 800; scene = ['b1818f89f71d7ede', '1dc0f9200778b6ff', '8bb9dfb202abb4c0', 'd8cd8e74983c2ed5', '9c8a304979cbc7da', 'f00e57d3e757b12e', '96ba226de3006d1b', '49cdcdc8c9fe71f2', 'b7e287b139583003', '04221c6266b4fbb5', '11db2e14d64c1b42', '51f80353f6008c4f', '564437b001139667', '5b7e5ce68733bcc4', '7850797441a57de9', '12048355d2052d78']; context = [[58, 83], [32, 58], [109, 135], [97, 122], [181, 207], [130, 156], [49, 75], [26, 51], [63, 88], [91, 116], [112, 138], [129, 155], [118, 143], [64, 89], [69, 94], [43, 69]]; loss = 0.037240 low_pass_filter = 10.000
+Epoch 0: | | 809/? [07:57<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000, lotrain step 810; scene = ['f841958b4f3ea9b6', 'b5a711e9d6e9f7d2', '81239a4d26b89db3', '0c55d99325327032', '0fa3084a8ad67f81', '1766b288f284c234', '792c3b369bcd98f6', '600aa1de0c963a27', '7d81b28b7afe5738', '6b93a9fa1ce08986', '71843154fd778989', '6e024fbe00be60cb', '1cacfe69c509febf', '2765f5d2bd45f599', '591324b1a786d91e', '04740510b6d96720']; context = [[60, 86], [5, 31], [74, 99], [35, 61], [10, 36], [186, 212], [45, 70], [1, 26], [243, 268], [36, 62], [17, 43], [55, 80], [87, 112], [36, 61], [67, 92], [16, 41]]; loss = 0.041870 low_pass_filter = 10.000
+Epoch 0: | | 819/? [08:03<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000, lotrain step 820; scene = ['a0cd80f2815b8716', 'e649e3010fab6d40', '3f4cacc2a74df04e', 'b887116c5ac0c3ae', '3bdacd796a82e581', '1631053dcc53cb87', 'b555afebfcce407c', '2405f8024d2d8efa', 'b31dae3a8edd6af8', 'b12f99acac988ca4', '6df08dcd841c4b9b', 'fadf8681f71b6225', '2a16f86d8c47f471', '082c57765925eb2b', '02c39509dcd964e8', '9de33e466a02ea23']; context = [[92, 117], [18, 43], [5, 30], [3, 28], [161, 187], [49, 75], [145, 170], [70, 96], [38, 63], [54, 80], [34, 60], [21, 46], [2, 28], [107, 133], [105, 130], [25, 51]]; loss = 0.039257 low_pass_filter = 10.000
+Epoch 0: | | 829/? [08:09<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000, lotrain step 830; scene = ['0841dc352b358629', '9308b0309e860d89', '804c26118696da0b', '6f29d2f4950be336', 'de40426a00dab49a', '546bf84eac7404e8', '11730d25b6f6361b', 'f1f5e26cb49fd2a5', '15cd8f43f173d0e3', 'e1fbf58a49076d36', '2d4b0725e43dc211', 'c2923fa433879e60', 'cae0139a521aa052', '08127a499408b79e', '591bf6ac3800ca21', '811e5be9bf8e26ca']; context = [[110, 135], [48, 74], [6, 31], [2, 28], [36, 61], [6, 32], [140, 166], [0, 25], [10, 35], [9, 34], [240, 265], [121, 147], [20, 46], [3, 29], [5, 30], [43, 68]]; loss = 0.041494 low_pass_filter = 10.000
+Epoch 0: | | 839/? [08:15<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000, lotrain step 840; scene = ['f7d5f1a8df9d773f', 'e426679594077686', '1d954e607bc2a8f6', '2290ecbf83cd253e', '9c7c42260596ac3d', '0482811bdc4713a5', '5e78458cfb6b8150', '61327ef41f3b72f1', '74e1a98290b34a81', 'ecc15d661d8dbe9f', 'cfec50872cec53bc', '6a4fe529a00082f2', '6a6beb90616e4f37', '42c7147c591f47cb', 'b05e5158361732c9', '5f22fdf235746488']; context = [[21, 47], [103, 128], [18, 44], [26, 52], [47, 72], [143, 168], [37, 62], [2, 27], [196, 222], [210, 236], [35, 61], [185, 211], [15, 41], [3, 28], [177, 202], [10, 35]]; loss = 0.038219 low_pass_filter = 10.000
+Epoch 0: | | 849/? [08:20<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, lotrain step 850; scene = ['ceba0c9064ef2075', 'f249fdd072d2d35d', '93f0ba6797c67f20', '9122be71240bb162', '9168f179a84dcc90', '2d5886bd890632c6', '7e72a2e96b39c149', '2ca7a809dda33d8e', 'c0ee12e05d7032af', '01d4d24e9f33aa8f', '0cf6039feb87cb09', '825d0b6a944ea867', 'b811e125c84adff1', '3ffc4b7822281c60', '18711838050bef0d', 'fcfd650da12e293f']; context = [[107, 133], [10, 36], [28, 54], [153, 178], [43, 69], [34, 60], [33, 58], [39, 65], [55, 81], [58, 84], [4, 29], [14, 39], [22, 47], [25, 50], [107, 132], [103, 129]]; loss = 0.038486 low_pass_filter = 10.000
+Epoch 0: | | 859/? [08:26<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, lotrain step 860; scene = ['a221a85eb7d833b1', '8985d94d0dd98a65', 'dbf748364163182e', 'd5c1933c67b49875', 'f73708f8f2c1fcc0', '97133598e9144794', '4c4fce2df53535d6', 'ac1e985cf3a2df12', 'ca90cf157ecaadfe', 'c8b8300236a7220a', 'faaa1fa7767acf25', '0ab79d1b1d783e01', 'a7621aea5c101536', '7f11c968deb89da5', 'cc039d2dde109d6f', 'a06b2802ca08da31']; context = [[32, 57], [2, 28], [101, 126], [76, 102], [36, 61], [2, 28], [133, 159], [42, 68], [105, 131], [38, 64], [2, 27], [51, 77], [32, 57], [251, 277], [175, 200], [64, 90]]; loss = 0.035840 low_pass_filter = 10.000
+Epoch 0: | | 869/? [08:32<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000, lotrain step 870; scene = ['96fcce02a7674e02', '9a9367ff87294587', 'aaa8dfa7e8498bd9', '5019925808a59723', 'f5934f621b0a002a', 'db77e4c30e954d3f', '23c177f84829d2a6', 'ecc88f03e2e5ef81', 'fb331a491ca2e5e0', '1a2ea561c9c8f419', '3a13e56691c8396e', 'bc67854fca5cdac2', '59e04cb072686a97', '31ba0028326b8b17', '82b8b4c5e983729f', '1b8abd07e10f4e79']; context = [[231, 256], [16, 42], [99, 124], [245, 271], [119, 145], [105, 131], [188, 213], [195, 221], [0, 26], [13, 39], [53, 79], [34, 59], [167, 192], [102, 128], [77, 103], [17, 42]]; loss = 0.035286 low_pass_filter = 10.000
+Epoch 0: | | 879/? [08:38<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000, lotrain step 880; scene = ['5e70f8dc0da2945f', '4b7302601da9f913', '6f8ab470e569eced', '4886ce15c821b292', 'a30a83cc257714b2', '774d16d7b7d3ab87', 'c279649ebcdbd4ac', 'e1b0771ca0e3df03', '191f33c96812c34d', '43668ae8f0e517be', '176f7bab982f3aa4', 'e41818c1a640f355', '3670ced044c09f1c', '16e752a0b2952804', '37311e860b1ef72c', 'de5195b1d4b5e650']; context = [[24, 49], [187, 212], [20, 45], [15, 40], [52, 77], [62, 88], [22, 47], [67, 93], [46, 71], [41, 66], [186, 212], [189, 214], [9, 35], [97, 122], [197, 222], [38, 63]]; loss = 0.034690 low_pass_filter = 10.000
+Epoch 0: | | 889/? [08:44<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000, lotrain step 890; scene = ['b41d3898f57085e3', '1182579e7ca4ef88', 'e7b0248022eae778', 'b8e91cbe57d886af', 'a308376472392fc6', '011fbca4c333495f', 'c38816ffe6b2c633', '2598b88b7b7d2119', '683c969b32f1b4b6', '1fefe15b477db1e5', '35d9cc4d7e5487a1', 'e5537547dd598187', '32261dd2941cfcae', 'c0e387d3a6285a32', '0cb47bf3e9ed3aa5', 'e55496b6c4f860e5']; context = [[77, 102], [60, 86], [32, 57], [3, 28], [9, 34], [19, 45], [96, 122], [30, 56], [86, 111], [81, 106], [203, 229], [4, 30], [148, 173], [102, 127], [36, 61], [25, 50]]; loss = 0.043808 low_pass_filter = 10.000
+Epoch 0: | | 899/? [08:50<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=20.30, train/active_min_children_step=4.000, lotrain step 900; scene = ['d44eb5d03836bfa8', 'd312027b19525a5a', 'ddabc74cbdf2849b', '72040346a65ca209', '06f384602bc7e787', 'de2ae796f06043da', '51b04fd9435b6853', '74b69334da4939e2', '7257497d7ddefa3f', 'da0f564e5210d09f', 'fb862259dcc8a0aa', '8eb77501b906faf0', '047b9960d19e3c60', '0492445f09a9bb4b', 'd7699c99c299376f', '87dcad4e125ff354']; context = [[0, 25], [0, 25], [6, 32], [242, 267], [139, 165], [126, 151], [61, 87], [72, 97], [125, 151], [125, 151], [31, 57], [56, 82], [216, 242], [204, 230], [90, 115], [167, 193]]; loss = 0.034680 low_pass_filter = 10.000
+Epoch 0: | | 909/? [08:56<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, lotrain step 910; scene = ['af5bc2b9cb5f4dd5', '70e06d0ca9ba12d7', '7cae2e82f768bd58', '75d09be60110e2cd', '8c6613326c9bb024', 'd20cec74d90a31b2', '28cc23ff81e8c7cf', '3c8b0bb757a118b9', '1ffe77b1a0efd127', '7fa1e8ca5ff1aa0a', 'c201594babef23f6', '4e5a24edeab27bde', '0081cfd790d7ad74', 'c8c1e40f50b1ef9d', 'e73b93ff29fb6e8c', '8d19f2c27abf126c']; context = [[1, 26], [145, 170], [133, 158], [1, 27], [73, 99], [45, 70], [98, 124], [39, 65], [13, 39], [66, 91], [6, 31], [17, 43], [25, 51], [158, 183], [80, 106], [69, 95]]; loss = 0.035592 low_pass_filter = 10.000
+Epoch 0: | | 919/? [09:02<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, lotrain step 920; scene = ['d5788ecb38219348', '75840717ecdc2325', 'afb5096c52233388', '706571cd6a9c16a4', 'd7798982569c2714', '334f192d01193f36', '6f3b47cc1831979d', '81124fd6dfc66253', '6131f8c669e8060f', '2b91070adf840bcb', '89d2c2d9e3aee457', '21691784e9e84e35', 'ded38d3ae876e8dc', '0a1aa875aca3711d', '9005d1006b63b2ab', 'b4c2e12ad3d75efd']; context = [[231, 257], [47, 72], [11, 37], [17, 42], [57, 83], [49, 74], [60, 86], [55, 80], [97, 122], [68, 94], [10, 36], [49, 74], [15, 41], [11, 36], [113, 138], [40, 66]]; loss = 0.034328 low_pass_filter = 10.000
+Epoch 0: | | 929/? [09:08<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=20.40, train/active_min_children_step=4.000, lotrain step 930; scene = ['51832326c2486521', 'ae91ec6e3aec00c2', 'e80172c489f74813', 'e034bdb73350efdb', 'b2e5932f5b358c92', 'f80af1dc6cf2854c', 'f8e3b85a21b25764', 'cac8ff0742e1ef7e', '6e6ce6a006f044a6', '9aba38d959e85c32', 'd68ad9834919913a', 'de11e8525444b3e6', '7770c9fd63ae19d3', '929ac3c28edde369', 'fb807a4a935011f1', 'bc920b78aab35655']; context = [[56, 81], [55, 81], [176, 201], [2, 28], [63, 88], [33, 59], [17, 43], [105, 131], [30, 56], [63, 88], [32, 58], [161, 187], [27, 53], [10, 36], [12, 37], [20, 46]]; loss = 0.035687 low_pass_filter = 10.000
+Epoch 0: | | 939/? [09:13<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, lotrain step 940; scene = ['6792d6a4f4e87e24', '06f60580eba61d9d', '42c7147c591f47cb', '5d167006936398f2', '5f22fdf235746488', '337c66222a513af2', 'ecc15d661d8dbe9f', '2d417198a5ebd20e', '6a6beb90616e4f37', 'cfec50872cec53bc', '8b3765816a0cb218', 'fa3c7a9b31e5ab10', '6ad2c6f0c0c903e8', '96fbaabf762077c5', 'af37a973266b99fc', '00d80d0e284dac72']; context = [[15, 41], [25, 50], [21, 47], [18, 44], [37, 62], [0, 25], [45, 70], [77, 103], [77, 103], [30, 55], [56, 82], [8, 34], [53, 78], [16, 41], [37, 62], [13, 38]]; loss = 0.038153 low_pass_filter = 10.000
+Epoch 0: | | 949/? [09:19<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, lotrain step 950; scene = ['d1a496112cee9a32', 'd069c35354465fa9', '1db855eb2be5b983', '09a1e9bbded02341', '3918e4998619b227', '2a23966bfac99977', 'b6f65429632f92fa', '14270bac7ebd4ce4', 'f372609a6c75bced', 'b4a46c5d2d8d0415', '30e1d420b926d6f0', '8902e97c5814433e', '161cc1c3c7d7f131', '52ba723e1b5e31da', '7bf71b62cccdf2fa', 'b23cbee05407661d']; context = [[59, 84], [8, 34], [129, 154], [59, 84], [127, 152], [142, 168], [45, 70], [30, 55], [26, 52], [14, 40], [30, 55], [22, 48], [1, 27], [148, 174], [12, 37], [131, 156]]; loss = 0.040381 low_pass_filter = 10.000
+Epoch 0: | | 959/? [09:25<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, lotrain step 960; scene = ['3ba287815c2fa8bd', '4d9de907289bb1b6', '90b3a044d5c4522e', 'da500b24da7a495b', '5205c4ab691fab79', '979583f22bb73aef', '8c42a0b02e4b80e7', '643a17e2e87792a1', '6af3dac3387f0c7c', '2b85a6b46f2ea8de', 'fd7e46c14085c76d', '789e60a632f1c397', '4bb8768dea446ee1', 'ae846b6a792cadc1', 'e72abbc2e978475b', '6a11871c9643bd79']; context = [[29, 54], [134, 159], [9, 35], [15, 41], [142, 168], [55, 80], [211, 236], [11, 36], [224, 249], [1, 26], [36, 62], [18, 43], [90, 116], [224, 250], [14, 40], [51, 77]]; loss = 0.036137 low_pass_filter = 10.000
+Epoch 0: | | 969/? [09:31<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000, lotrain step 970; scene = ['da7b5b8c48f2b345', '800692cf789b69bb', 'eb8e1a343a57f246', 'ef63ce1150b93a2f', '6f8cd3c25e7ce532', '430828a73b0473c1', 'fae232a4edb86602', 'ab533c63e6b7ef78', '6f2daf5cb8151b38', 'cd2bc85e8f87f404', '363163aa8eb9a2dd', 'f6d48213ef0665a5', 'cd7a270da6f6da4a', '2018a20c3c41f278', '0274ae92b3b40648', '56f96532473be1b0']; context = [[4, 29], [32, 58], [84, 110], [48, 74], [1, 26], [1, 27], [17, 43], [36, 61], [142, 168], [43, 69], [71, 97], [25, 51], [43, 69], [95, 120], [208, 233], [74, 99]]; loss = 0.035505 low_pass_filter = 10.000
+Epoch 0: | | 979/? [09:37<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, lotrain step 980; scene = ['0f8c770f3a37cacf', '4e9bc83dc19ab35b', '02b4de9af6e29e8a', 'ff7c5e76dbb32bf8', 'fc0eb949f7e3495d', '809ac9d0df881cdc', '9b1748955fdd2d93', 'c62d89b4898ca134', '8fe0153671265cd8', 'cac682fd737ac05a', 'd5c8690ebede654c', '68f5a9c218ae58de', '6f734cb7648a8dc0', '3a06c662b556f35d', '2ab59b3cd18cf2a6', '7575c3ff61344cf7']; context = [[55, 80], [6, 32], [76, 102], [18, 43], [56, 81], [36, 62], [9, 35], [51, 76], [11, 36], [0, 25], [142, 168], [160, 186], [112, 137], [57, 83], [15, 41], [75, 100]]; loss = 0.034909 low_pass_filter = 10.000
+Epoch 0: | | 989/? [09:43<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, lotrain step 990; scene = ['065d41d6e7cd8ad8', 'fbc4bbe6225528ec', '3baeb8a657696aec', '0224ae3b7123367e', '61327b567aa8d6f6', '0856eb1e161c6cb8', 'e6406106735f8b34', '12108a3fd93471fb', '6080fc9345448eec', '39ee4bf580cf2bbe', '5a1ccf5da976f592', 'c2de98e8401d1883', '877e982c2aeacb3a', '9f7fa8a32d5eaa0f', 'd3b5f1786c3ae039', '28478600e3b81375']; context = [[38, 63], [147, 173], [16, 42], [231, 256], [34, 60], [44, 69], [103, 129], [6, 32], [48, 73], [119, 144], [12, 38], [1, 27], [40, 65], [8, 33], [0, 26], [1, 26]]; loss = 0.036140 low_pass_filter = 10.000
+Epoch 0: | | 999/? [09:49<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, lotrain step 1000; scene = ['d31dab63cc54c59e', '767c62f619b15386', '95c9d9e0f42b1a15', '7b698e19de628b10', 'dca0f0eacbccd9c8', '6a98a5412a5aee02', '58862a8fe2c91894', '6bb1fe38f50ee2f6', '5e8552f9cdf1e078', '344337509a48a21c', '3220f882c1f72cca', '272f7a997c94d84f', '6af18067925fa678', 'b12b1204a0c7c197', '5db240a3c54df22b', '28ada2a08238d1c8']; context = [[3, 28], [43, 68], [13, 39], [8, 34], [13, 38], [40, 65], [43, 69], [5, 30], [67, 92], [79, 105], [53, 79], [151, 176], [33, 58], [90, 115], [24, 50], [31, 57]]; loss = 0.035744 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/optim/lr_scheduler.py:209: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+Epoch 0: | | 1000/? [09:49<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, lvalidation step 1000; scene = ['49b8f80c849dc341']; context = [[62, 87]]
+Epoch 0: | | 1009/? [10:08<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 1010; scene = ['917a89fdc7272009', '5eee3bba5d8a0af0', '09857c20a9b14df3', '184fb534f9aca4da', '51e6b1d7cd013f21', 'aa85d24bbd87a8a6', '10c6540f2e3af25b', '9159925b118937a4', '13c85315b9e987d9', '3075c400813b4fd5', 'e0fc35891bf29a7a', '8b5c24358ec92b0c', '8376f898eabbd0e1', '8da41667e8f33d92', '0ddb1fa8f7729c9f', '9d714edfee008fc2']; context = [[48, 73], [76, 101], [100, 125], [36, 61], [30, 56], [190, 215], [49, 74], [200, 225], [230, 256], [56, 81], [3, 29], [145, 171], [47, 72], [79, 105], [8, 33], [1, 27]]; loss = 0.038270 low_pass_filter = 3.333
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 1019/? [10:13<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000, ltrain step 1020; scene = ['06c7cb360e434de5', '68d0e78200de8dbf', '7567fe94d4fba9d7', 'a0493b972780d9ae', 'dbbd2d62968c2aab', '7eb1c8969766243e', 'abd353eabd0dea01', 'b6cacdcdab5755b8', '7e731568d0288a55', '085ff8ed78f58252', 'b6f08954c7c64f59', '700d4f6b814c5dd7', '770ffcd0c79519aa', 'aa3520c25c879a9f', '9530c8a093a39160', '3195acecb19b0955']; context = [[39, 64], [129, 154], [34, 60], [86, 112], [92, 118], [0, 25], [21, 47], [3, 28], [214, 239], [156, 181], [4, 30], [10, 36], [101, 127], [53, 78], [31, 57], [182, 208]]; loss = 0.035833 low_pass_filter = 3.333
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_parent_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_center_diff_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_parent_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_center_diff_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+Epoch 0: | | 1029/? [10:19<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 1030; scene = ['1ad7adae6a042ce1', 'df0ac86df48f6d06', 'cc6c8d74122beb91', 'cbb91c77a7526d61', '4edcc58025a77735', 'b1dd1726f1f46b42', '15f14a9a8d3f7769', 'dacf77dd43f1d0f1', 'e53a82bfe84a2251', '1018776739e1250b', '0c52454885189188', '7e25e7669443bd73', 'cabe1e553676170f', '29fabf56364e9d1b', 'e58feef82356fb26', 'e2202f60a31710bc']; context = [[10, 36], [92, 118], [15, 41], [25, 50], [18, 43], [76, 102], [7, 33], [119, 145], [0, 25], [58, 84], [29, 55], [46, 72], [95, 120], [14, 40], [181, 207], [180, 205]]; loss = 0.034898 low_pass_filter = 3.333
+Epoch 0: | | 1039/? [10:25<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 1040; scene = ['e28ac2de4b57c0fd', '71499e389bdaea92', 'd7c0ebc89793e158', 'b428645647d53e65', '1c1f2b158b8527cc', '5a23762e2edbeba0', '581d57e13e40094d', 'cb64aaa680fba010', '3f7c40c559810888', '2edb7ac3009c5f9e', 'f7887b5d47d53d20', 'a79888bb552c7862', 'cb7487a5189f6b2b', 'dd71da9a017228df', 'fdbfe35f5940d3ad', '4a7a158bc511d737']; context = [[27, 53], [11, 37], [90, 116], [69, 94], [25, 50], [3, 29], [32, 57], [101, 126], [63, 89], [17, 42], [46, 71], [135, 161], [10, 35], [104, 129], [115, 141], [221, 247]]; loss = 0.035373 low_pass_filter = 3.333
+Epoch 0: | | 1049/? [10:31<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 1050; scene = ['200afae0928a1372', '88402eba1dca60a2', '7fbbee2db2e6cd4d', 'd23843ee6485a4ca', 'a2c884e396d7f501', 'ebaeb44a88de9332', '6af98c375abdb63d', '38c220ff58e572ac', '527265924b9b6375', '2962175a510cf868', '94418a5db600cc33', 'ff476ba779fd6021', '518200a52559d895', 'ca342b60ac94b65e', '0d4ebded1cdfa14c', '7f9be765fc88ada1']; context = [[140, 165], [38, 64], [59, 85], [24, 49], [122, 148], [18, 43], [117, 143], [106, 131], [7, 33], [4, 29], [16, 41], [86, 111], [7, 32], [199, 224], [14, 40], [23, 48]]; loss = 0.031686 low_pass_filter = 3.333
+Epoch 0: | | 1059/? [10:37<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 1060; scene = ['eb5a6e0843067cdc', '3ebbf175cda595a2', '1cf5589d5ecddb95', '74eb411688ba5e15', 'b071ad8689db9c26', '5c50277359a0843c', '26ea8cc2791328c2', 'ac64989dd2b2a22a', '6955cf41eb23fe3b', '39f7c76ef42ac1d4', '0f04f8ee8b2396c7', 'aaece70a39dd3257', '0d8f65989586d136', '7fde9a464e6b2a7b', '55f0fab213db4673', '104d225e8ec52733']; context = [[27, 52], [72, 98], [83, 109], [16, 42], [156, 182], [63, 89], [209, 235], [90, 116], [3, 29], [21, 47], [89, 114], [60, 86], [246, 272], [35, 61], [1, 27], [18, 44]]; loss = 0.030743 low_pass_filter = 3.333
+Epoch 0: | | 1069/? [10:43<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000, ltrain step 1070; scene = ['e6d924f92f44c985', 'c96388f9522a65b9', '3193e8bf21491023', 'b86dc6a2be5101ab', '42df8c69e0daeec6', '95908390cfcab857', 'ebf1a7e113d1cfd2', 'c8a89452aa4cf54f', 'c5f6f1a662e28071', '3678468a9d6d42cc', 'b950cd4348d01e2a', '623d5619e4702864', '804998e7ec39d253', '0d75be966f561519', '0d32af0aa9eaae9a', '68528e468bf52aca']; context = [[162, 188], [60, 86], [50, 76], [16, 42], [43, 68], [77, 103], [148, 174], [9, 35], [180, 205], [124, 150], [46, 71], [206, 232], [50, 75], [5, 31], [14, 40], [53, 78]]; loss = 0.037059 low_pass_filter = 3.333
+Epoch 0: | | 1079/? [10:48<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=20.10, train/active_min_children_step=4.000, ltrain step 1080; scene = ['5fe123b3d2013cfc', '05c25202589a6f81', 'c6cdc4c9282bd491', '8b3e50b64cdb9a4a', '34a9201614a19005', 'b765858262583af6', '7f20b3df52cf4e98', '43c619a8b35c357f', '32ed60ed023b59cf', '0560b7d07f6e6899', '262a536e25e2ae43', '572d67c3862dd6e1', 'd59ab97b03d1164a', '46480458ef51b393', '03d3092e230ed7f0', '79f4ef188c1f0a3d']; context = [[10, 35], [39, 65], [83, 108], [43, 69], [122, 148], [80, 106], [25, 50], [51, 77], [2, 28], [0, 25], [25, 51], [212, 237], [19, 45], [27, 52], [33, 59], [42, 67]]; loss = 0.033334 low_pass_filter = 3.333
+Epoch 0: | | 1089/? [10:54<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 1090; scene = ['b333ae137d9b364d', '111edff73abfa215', '03150a5a24b88cf4', 'fa3c714f9feb0ca1', 'b4a5824300555fe9', '427dbba2f4ddb5ec', '423fb23a46b7ad6e', '9589bf6c34437171', 'ed90fc76c5f364e8', 'e81375f276552936', 'ec9ce5f9d9512215', 'fbf467b7610b569c', '49e4f5365be165ee', '34580d00589eee64', '3205bb1ec6c5e8a4', '24a2c0442c06f4ec']; context = [[126, 151], [13, 39], [183, 208], [110, 136], [41, 66], [19, 45], [18, 43], [57, 82], [14, 40], [36, 62], [61, 86], [77, 103], [5, 30], [70, 95], [0, 26], [48, 74]]; loss = 0.031770 low_pass_filter = 3.333
+Epoch 0: | | 1099/? [11:00<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 1100; scene = ['d8c0b4ca0defd965', '73a06272f1314473', 'd5ae945909789ef7', 'da86c1e65642aa38', '37c5b704883ea1b7', '6d49fec0fd3dbea0', 'bcede31352c7bd4d', 'bb5bb772c9c01b1a', '309060e859c57cc7', 'bf5caf81dc58798c', '10e11b3eb5bba7c9', 'a23531e747abeb94', 'd40a51a67fb79544', '0880f556a19d07f5', '577c560e66207737', '9b6a57a6ff02dd12']; context = [[187, 213], [19, 44], [12, 38], [29, 55], [18, 44], [128, 153], [40, 65], [28, 53], [67, 92], [51, 76], [17, 42], [63, 89], [3, 29], [88, 114], [6, 31], [20, 45]]; loss = 0.037276 low_pass_filter = 3.333
+Epoch 0: | | 1109/? [11:06<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=20.60, train/active_min_children_step=4.000, ltrain step 1110; scene = ['6f4c2dbdf3261ce5', '3e2671d001ec3490', 'eed911184d146626', '50632d01cdc990e2', '5080347450bbcb08', '987ba4e94414a901', '2d96aa51d8a0f0ba', 'e59de5847cdb3d38', 'fc53427e7c49a7c5', 'ce3f4b5b14d97861', 'abf076da45e3fea5', '89afd4c5470e2516', 'a7a54b27565d7c3e', '62999865ac9eb455', 'b2a4b10693604581', '4a9927480f8c43b7']; context = [[46, 71], [99, 125], [9, 34], [0, 26], [86, 112], [15, 41], [150, 175], [31, 56], [6, 31], [27, 53], [35, 61], [195, 221], [59, 84], [2, 28], [32, 57], [83, 109]]; loss = 0.032519 low_pass_filter = 3.333
+Epoch 0: | | 1119/? [11:12<00:00,  1.66it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000, ltrain step 1120; scene = ['12bc55088cf2ce58', 'f0775b5ffdfb27b5', '24d4b58914a78163', 'd9dae14cb7376287', '3b4e220f6d18d61b', '86dbd3d7c71e63d9', 'aeee3481d2a8806e', '8b598829b949bb07', 'ffaf31567af2b895', 'e41915761acdb093', '14b8447b6a98961f', '782bc1eb4be1cb89', 'bb5cc95dd4cf749c', '47d9f6977b05f18d', 'bd84e78a498e4af5', '43cd8bfd1bada381']; context = [[32, 58], [54, 80], [15, 40], [62, 87], [6, 32], [12, 38], [55, 81], [40, 66], [90, 116], [160, 185], [35, 61], [174, 200], [5, 30], [110, 136], [45, 70], [0, 26]]; loss = 0.029868 low_pass_filter = 3.333
+Epoch 0: | | 1129/? [11:18<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000, ltrain step 1130; scene = ['d4450052d60e5f31', 'c05818414f7e530b', '0fd0ead3c363584e', '10fe0d451220407a', 'e46419c7826b661c', '7d6557b3ee6eaa8c', '26e1218850abd298', '5f0f26d2f069837f', '73dc27448e4f065a', '757f85ef4b708166', '4c8ecba879bb3eed', '2443e886f743cc34', 'c6ea933d1fff0d59', '2e4d16122bd76f43', 'ca89e36b41581eb8', '01669ff74c56d315']; context = [[51, 77], [41, 67], [1, 27], [200, 225], [13, 39], [49, 74], [26, 51], [28, 54], [1, 27], [133, 159], [38, 63], [10, 35], [26, 51], [161, 187], [35, 60], [0, 26]]; loss = 0.032202 low_pass_filter = 3.333
+Epoch 0: | | 1139/? [11:23<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 1140; scene = ['c70fbfe2ea94f606', '2a5ba4ced1bda07c', 'c49dfdcdb8ec5967', 'a02a9658551d219d', 'ee308e09e3e799e5', '25a066a44d4fbfe2', '46f0491eb7365360', '665049a1c88afbac', '540bc85f7c1b643e', 'aa5e9a3df7061a58', '6a140ea6d457efae', '11d0d75085bf9ce0', '86c89319605a764c', '1b91d2fcbd0b384b', '72271741f674be7c', '88a6790c97629d07']; context = [[34, 60], [22, 47], [67, 92], [18, 43], [73, 99], [11, 37], [37, 63], [26, 51], [9, 35], [17, 42], [36, 62], [98, 123], [3, 28], [43, 69], [4, 30], [12, 37]]; loss = 0.034980 low_pass_filter = 3.333
+Epoch 0: | | 1149/? [11:29<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 1150; scene = ['2c473fa113c38037', '232761a3c36250db', '112202d9b9402f09', '6fb75705002e9a71', '96c546893e58e713', '68bd44a4d3385359', '76d49efbac8550f2', '6edfc46eec151202', '139fa8c7577496de', '4b435ca0a80ee76f', '9cf4511625b44389', '3b8abe0cda9917e4', 'edb67472914edb3e', '1c2e5f0ee4f0a04d', 'b628c72cc878780f', 'e294f1cd6bcdc9e5']; context = [[44, 70], [25, 51], [179, 205], [68, 93], [51, 77], [181, 207], [145, 170], [50, 75], [9, 34], [117, 142], [81, 106], [46, 71], [16, 42], [107, 132], [191, 217], [63, 89]]; loss = 0.036404 low_pass_filter = 3.333
+Epoch 0: | | 1159/? [11:35<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 1160; scene = ['8a5f209051718c6a', 'fe3c04bb10b12d55', 'cd7355ffcbc5a2f5', '1f4d538755177e00', 'f591700701a47d5f', '3624134e157585a8', '2e6b110a34be80f6', 'db21d3ab55c463d4', '263171a60cd3c274', '7e17d1e974838e4f', 'eb0b3196ffb44444', '9af60e3183731e2b', '7aa0b1804b14144b', 'd0163ac6077217b4', 'e8bacc515eee9906', '8e6dd682ca06c962']; context = [[48, 73], [34, 60], [28, 53], [29, 55], [43, 68], [27, 52], [112, 138], [62, 88], [155, 180], [82, 107], [41, 67], [79, 105], [6, 32], [123, 148], [34, 59], [76, 102]]; loss = 0.033322 low_pass_filter = 3.333
+Epoch 0: | | 1169/? [11:41<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 1170; scene = ['0c53190f1c2bf1b0', '9bddf9777577b540', '95683816b2782fc2', 'ef767501ebc1cb8a', '5065b9cb94d891bb', '7973781f09bbc41d', '0c2dec20ab27ba71', '92f0ac52daa463b6', 'da56c7ef9df14143', 'd6908f33460b023b', '960daf58070c833a', 'c2883a1b59efa9cb', '055f4c034400a175', '7b23e4a0c4ea3e95', 'a02a57c926d1ae45', 'd2b34cb3b5d00afa']; context = [[0, 25], [75, 101], [20, 46], [175, 200], [103, 129], [18, 44], [54, 79], [6, 31], [13, 38], [3, 28], [43, 68], [73, 99], [37, 62], [23, 49], [50, 76], [46, 71]]; loss = 0.031143 low_pass_filter = 3.333
+Epoch 0: | | 1179/? [11:47<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 1180; scene = ['7c5aecc1f97fde06', '22b12e74502378c7', '47c705d2d6d65b23', '3812f04df4ff98d4', '62c6c5f93e65ccd8', '9beaf5d0ae3a7903', '20b3937a5b0c8384', '41454feb44f3cc7f', '1f5f168725874f3e', 'b9e20c6ca2630cad', '7836200c75b0e42d', 'f1847f1633c71974', '2ae079dcad63c1c1', 'e93bb5f352f12779', '02ce170824e128dd', 'b7d0632fc6b2d46b']; context = [[1, 26], [11, 36], [39, 64], [91, 116], [4, 30], [184, 210], [9, 35], [71, 96], [77, 103], [27, 52], [63, 89], [38, 64], [219, 245], [168, 193], [183, 208], [132, 157]]; loss = 0.031317 low_pass_filter = 3.333
+Epoch 0: | | 1189/? [11:53<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 1190; scene = ['87ddb273a2668496', '4188a5e607ad1fb9', 'd9f4d087b09b5361', 'fd736740ea4abcc7', 'bf8d7d53329bfcde', '05f3364c68280447', '3d187ef47213b513', '7bdae1fbfeca5814', 'd72f1c9631d56256', '6d849ca53f62a5b7', '203149d77d4e35c2', '9cc6a832ffde1cbb', '3cca5bd6f63c23a5', '4625967cb4399fe0', 'fc5fe3d19d1bcc3e', '887c6aa71d5e23f1']; context = [[107, 133], [83, 109], [2, 29], [13, 39], [37, 62], [60, 86], [6, 32], [188, 215], [4, 30], [107, 133], [72, 97], [8, 33], [22, 49], [17, 42], [8, 35], [24, 51]]; loss = 0.030106 low_pass_filter = 3.333
+Epoch 0: | | 1199/? [11:59<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 1200; scene = ['e58f27f45d7cce3a', 'd02f8cad1ec64f2c', 'a89d49837b7303c5', 'fbf766898680aef1', '0baa25d1cb97a27f', 'dd0486313ddc7f1c', '95aae109e91f511d', '8cb3deb4666c76f5', '8e50829d45f121f2', '1f2536c42dccb36b', '47b85baf9e4e8a1c', '02a4144482a9daef', '06f55714ca5e219a', '50873cd4150bd263', 'ff3866d1f150f06c', 'dec69f4f1cb29569']; context = [[109, 136], [31, 57], [0, 26], [7, 34], [6, 32], [104, 129], [28, 54], [157, 183], [56, 82], [112, 138], [93, 119], [36, 62], [71, 97], [3, 29], [9, 36], [90, 115]]; loss = 0.031786 low_pass_filter = 3.333
+Epoch 0: | | 1209/? [12:05<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 1210; scene = ['fcb4dfba1a945a4b', 'a30d9527ed0e0748', '73d873a180e058a5', 'd4897a4c90c37caf', 'ffc9008285548ff5', '813e1189dcfd7c30', 'b3f9bb0c99776a79', 'ca024568a48933be', 'daf0904eab3b35cf', '4a92e8a638e8c57c', 'af0517fa98077a1e', '665d429d01b05d14', '830cc256a754ed8e', '8145a4774a6a2fd3', '309a175f1e06b80a', 'bbc62daeaf77bf4f']; context = [[83, 109], [22, 49], [161, 186], [82, 107], [97, 122], [16, 43], [38, 64], [56, 82], [71, 97], [30, 57], [32, 59], [55, 81], [18, 43], [46, 71], [39, 65], [1, 27]]; loss = 0.034854 low_pass_filter = 3.333
+Epoch 0: | | 1219/? [12:10<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 1220; scene = ['1da5bd3938d1106e', '1e39b2eb951d0d1b', 'e5447ec8725011a0', 'c2f2994c1329cf74', 'b8252179ea1e7036', '228568723e619e85', 'd3ecc9f89d8163a3', 'a5bbbc8bf57c2d39', '99c8545c72314b71', '625eef7459761a4d', '5f19c87933afd12e', 'e3b1a68ce2293863', '4c8f13f305e4abdf', '0081dc6b188fefe7', 'd379feee7af01593', 'a810c60104f378ad']; context = [[128, 155], [10, 36], [127, 153], [4, 30], [17, 43], [46, 71], [86, 111], [137, 164], [0, 26], [23, 48], [16, 42], [75, 101], [50, 77], [40, 65], [81, 106], [60, 86]]; loss = 0.028765 low_pass_filter = 3.333
+Epoch 0: | | 1229/? [12:16<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 1230; scene = ['24b8103eb6fea42f', '947f348fccdcce56', '76cad7284ada1227', 'b8bcd6af0ef63ab1', '03ea388058ebd7c7', '2570a14e40c92d75', 'db9459595f461e15', '56cf9bf99311c357', 'e485bf80f9a3f7e1', '07219a30092595a2', '0db71132ccfdfa95', 'f1a61757f68774d2', '470f6a9cdba0a1d5', 'b9ffdd6786ddc018', '95cd28864a17ccca', 'fb73c1c5f2889329']; context = [[5, 30], [216, 243], [7, 34], [1, 27], [20, 45], [39, 65], [161, 187], [67, 94], [2, 27], [74, 99], [5, 32], [42, 69], [18, 44], [78, 105], [56, 82], [35, 60]]; loss = 0.033287 low_pass_filter = 3.333
+Epoch 0: | | 1239/? [12:22<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 1240; scene = ['23358c2cc3e7e8fa', 'da1f9f2859b59142', '5c1d013893a69fb1', '9662f49b6a764dfb', 'a92ec569ae5c2a73', '5542c47d00e5ad3f', 'a1fa4bf737381a53', 'e620345f5468d2e3', 'f30398f000a252c0', '32f7b46d278e4954', 'd8fd980f911631b9', '50647477856e6833', 'c223600fd4ba02d7', '345358687532f52c', 'c6b6d3ccd25bb2cb', '2719c26d03b2054b']; context = [[160, 187], [58, 84], [18, 44], [126, 151], [52, 78], [150, 175], [52, 78], [26, 51], [40, 67], [65, 91], [0, 27], [25, 50], [23, 49], [113, 139], [89, 114], [158, 185]]; loss = 0.032574 low_pass_filter = 3.333
+Epoch 0: | | 1249/? [12:28<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 1250; scene = ['83a20ad0a61f400e', 'c00aa176dbded93c', '0b4c2c46d09e60de', 'ee0170b8aa621c0f', '8f93b1f88915ec0e', 'aa0480c4085e88aa', '48b1e8b1130a75c8', 'b77d133bef4fa907', '60756c59813ae4fd', '11d971d7a14928cd', 'bf0c3ff5d1a3df4e', 'ad218b07f21fde5d', '859722e52191814e', '1e5630a1bf806a70', '1d8cdf272844d0e7', 'd69d8870df582b0a']; context = [[8, 34], [45, 72], [155, 181], [37, 63], [11, 38], [5, 32], [9, 34], [189, 214], [7, 34], [76, 101], [77, 102], [31, 56], [0, 26], [60, 85], [104, 130], [3, 29]]; loss = 0.030555 low_pass_filter = 3.333
+Epoch 0: | | 1259/? [12:34<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, ltrain step 1260; scene = ['f2b4a68dcff736ab', '9eb1cb80a1e94817', '20c639dc41a7bf7f', '06f73e2d9a53a6eb', '3c0a13b7637af7fa', 'e465c16e4ba9fcb8', 'b1c71220312bd8d7', '3685bb1168fb8031', '7332947ada1572b7', '5fec984bfa36becf', '68a85b63caa319b4', 'af10100731bf2226', '02a58849f00b13fc', 'e59b7aa524c9f1dc', '42cbcff752b6b688', '9ba2d62e72db7145']; context = [[34, 59], [25, 52], [149, 175], [136, 163], [32, 58], [73, 99], [23, 50], [106, 133], [28, 53], [187, 213], [16, 41], [22, 49], [4, 30], [66, 92], [51, 76], [28, 55]]; loss = 0.032954 low_pass_filter = 3.333
+Epoch 0: | | 1269/? [12:39<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 1270; scene = ['ef6401c117a2701a', 'e994872e832abcd6', '803178124802c1aa', 'ba910ed9ffed394d', '6f4a43a4f3c0fb6c', 'f429e6d259c28372', 'c555b5ae8249ea79', '311e7ad62f542ce2', '85f8f13158886489', '38f2d8425c2c413b', '458766c5d05f8d15', '903117ac67b912a2', 'fe06a555231819c0', 'ce53ab61724efa79', '9bfb9a67d9cafdfc', '456aecc893a4653f']; context = [[40, 65], [34, 61], [61, 86], [4, 31], [13, 40], [50, 77], [13, 38], [70, 97], [134, 161], [3, 28], [83, 108], [17, 43], [140, 166], [32, 58], [41, 68], [175, 200]]; loss = 0.030045 low_pass_filter = 3.333
+Epoch 0: | | 1279/? [12:45<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 1280; scene = ['cc6379f86543e2c7', 'bba92b2f199e4e80', '7256306ee88ff0a3', '71fb2a3a5f745849', '41640d448887e237', '1562917348b9dea3', 'ed8132a90fd5cedd', 'd73b7d57dd76d4ae', '162d34cd96a0899d', '76afa68a52241dc4', 'a6cc1f957f873178', '414454ff64681a93', '1403da8c328f29d4', 'b18ac63baf4baee0', '6e2c73ab63bf5e87', 'c6c0e46d5daafd20']; context = [[146, 172], [90, 117], [52, 79], [12, 39], [19, 45], [12, 38], [4, 30], [69, 94], [175, 202], [15, 42], [105, 131], [34, 60], [158, 185], [17, 42], [86, 112], [61, 86]]; loss = 0.030223 low_pass_filter = 3.333
+Epoch 0: | | 1289/? [12:51<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 1290; scene = ['cd6c21656a85e9b9', 'd8e1f8ca9a8f6d75', '538591ce295ffc23', 'de41f796919fa481', 'e324acf1610847ca', 'e0585142f1602430', '0956329fc4d362a7', '9ab9a834066a3287', '8af741a43dbf8aed', '2889424e1627e36e', '9f55a331f0e02fcd', '97bc9f9fd9f493e5', 'c69838b39a586dca', 'f98c4f8284140152', '9a45995c95b9df54', '98fb604e2b221457']; context = [[14, 40], [9, 34], [36, 62], [35, 60], [21, 46], [3, 28], [18, 43], [110, 135], [41, 66], [91, 118], [46, 71], [64, 90], [93, 118], [228, 255], [115, 140], [24, 51]]; loss = 0.031877 low_pass_filter = 3.333
+Epoch 0: | | 1299/? [12:57<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 1300; scene = ['bd781c735a39b252', 'e6910569bc347ba2', '51e7e2abc42fff2f', 'e567c08401dda8a7', 'dd249f6269133fd4', 'f6eb748a01065695', '154ca1b40882c2ba', 'e9e020c514404b0c', '313139806de65869', '25f120b63c777a3d', '73d0cc9f88dd47a4', '86cfe990f194bb9f', 'cb17460c2a53d3d3', 'acc04053479de7b6', 'eda827d23766de0e', 'a640a55439a43108']; context = [[2, 29], [66, 92], [6, 31], [8, 35], [166, 191], [34, 60], [26, 51], [24, 51], [19, 45], [102, 129], [26, 53], [47, 72], [65, 90], [70, 95], [11, 38], [46, 73]]; loss = 0.029975 low_pass_filter = 3.333
+Epoch 0: | | 1309/? [13:03<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 1310; scene = ['81f3520774d1a1c6', '620d222665049f34', '0ec197e81b8d0f77', '780ad45fced462d7', '6aa927450138c021', '58f4b2ce84d33565', 'bbb36359cd553f3a', 'd2757e2b5edb04c5', 'be6471058d2d22ab', '93fb96bc2d3b8bff', 'e84178ef466d3974', 'a9b070f212e5f277', 'a98ec507d448dea2', 'fd76f881e1223b09', '57dbeb44c9b27b81', '0b0fe0d86da5a167']; context = [[7, 32], [19, 45], [76, 103], [31, 58], [177, 203], [130, 157], [44, 69], [44, 71], [43, 68], [53, 79], [72, 98], [160, 187], [62, 88], [17, 43], [38, 65], [2, 29]]; loss = 0.030010 low_pass_filter = 3.333
+Epoch 0: | | 1319/? [13:08<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 1320; scene = ['443f21df464db8cf', 'c33b9080e273000c', 'a230308a0397ec12', '3909231098c2f263', '0e4dc00fb343099c', '3deda316f214ee89', 'c202eebff41099ba', 'a5ab3c04cadb399b', '50bb0587e8b1924a', '5e00fe8ddb44c346', '348f41557b28f27c', 'e246fc179798ef43', '8acbada3de9d0256', '8c511adfe1edf981', '6918eddc5ff5ced2', 'feeef6e1343ba933']; context = [[61, 88], [107, 133], [32, 58], [20, 46], [0, 26], [118, 145], [1, 26], [112, 139], [117, 143], [22, 48], [114, 139], [80, 105], [99, 124], [27, 52], [4, 29], [45, 70]]; loss = 0.032424 low_pass_filter = 3.333
+Epoch 0: | | 1329/? [13:14<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 1330; scene = ['4d175e1722d51d15', '53c526ec529330bf', 'fa49b8a4ce355d53', 'aece6bcce31218a6', '562bb0d240bb37ff', 'd17f34407a5b4eae', '2813e378279c4fad', 'eec5b25d9b090878', 'be15a3c0fd266f0f', 'c5f9ca57f5873e3b', '1da206992563b2b9', '24ac625c8f95dd37', '399b6534f47214c2', '2f321a2fbb58cb79', 'b71fbffa97db928f', '3fb2a360fe3a0dd2']; context = [[55, 81], [98, 124], [38, 63], [6, 31], [49, 74], [16, 42], [206, 232], [0, 25], [114, 141], [92, 118], [23, 50], [41, 66], [184, 210], [85, 110], [37, 63], [75, 102]]; loss = 0.032326 low_pass_filter = 3.333
+Epoch 0: | | 1339/? [13:20<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 1340; scene = ['b68241a4ef2809bc', '53a8dc913dbc5a8c', '52ee29e2ce0a132f', '2cdc2ed1b8813ab1', '1d60c040046aab31', '3765ecbfb3a165bd', '8b8a871ef6c8045b', '344b8a6319bec5ab', 'f23e4d3afc46ac29', '57f5506e3257f4b2', '3691cd26c7100116', 'd678738b34c57d8a', '6c3a8d059e82f912', '2717a1836dbb53d9', '1cbee92f071ca0fb', '9d964899db881b2c']; context = [[25, 52], [89, 114], [60, 85], [32, 58], [41, 67], [119, 144], [60, 86], [11, 38], [144, 171], [56, 82], [74, 100], [43, 68], [37, 63], [7, 34], [12, 39], [182, 207]]; loss = 0.030299 low_pass_filter = 3.333
+Epoch 0: | | 1349/? [13:26<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 1350; scene = ['c7462f6b97947601', 'e4832b64e5b73784', '0139d9fa2834c496', 'e0e22ca4dce43fea', '26894d5903d41150', '3d4ae910ff347e3e', '5b9d84d47b1ea410', '75a8c9852f5cae9b', '09a6aff7b9769dfc', 'eca311ee088fb239', '96e60aa2260cee08', 'bf6673b014c4b426', 'c842ce5440a03704', '38834e0675604b7b', 'e6828e4eb26c2f83', '6993473d6d315d1d']; context = [[7, 34], [9, 34], [191, 217], [3, 30], [86, 111], [26, 52], [50, 75], [24, 50], [8, 34], [1, 28], [9, 36], [15, 41], [128, 153], [13, 38], [115, 140], [14, 39]]; loss = 0.027574 low_pass_filter = 3.333
+Epoch 0: | | 1359/? [13:32<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 1360; scene = ['5bbda319111f9dea', '519ee1fb2d68f039', 'cbc71a203e10b3c6', '523d8fec764af182', '37b593ab757771b6', '4e01092da9625335', '83d2aaffdfe0fffd', 'c331ebdb898c377a', 'ddc11c891f471dd0', 'd5a86126a4e39e7a', 'e20f3440223cbde1', '12e85fb6e140ee85', '07790cb4884e1502', '7d697ca690248324', '837a853e726c6ad2', '43e59b21a3805c73']; context = [[56, 81], [172, 197], [119, 145], [11, 37], [3, 28], [119, 146], [176, 201], [34, 59], [66, 91], [54, 81], [35, 61], [21, 47], [45, 72], [13, 40], [11, 36], [131, 156]]; loss = 0.030501 low_pass_filter = 3.333
+Epoch 0: | | 1369/? [13:38<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 1370; scene = ['d095902f17028960', '93fc382a94286786', 'bd36807dafbe8c58', 'c7415f2942f33110', '548ad1b923e633d8', 'ff731e78060eb888', '26b8065adc153c13', 'd580f973b11b17fa', '4e437d66420067c2', '4e4985c5a76ac0e5', 'c3165a339b9a09e5', 'd4958f58a569c0cb', '2a4fe9d5f507d831', '5ac80497fad02a9a', '259a3164730654e9', '92a1f3ab5dbe634e']; context = [[29, 56], [10, 35], [11, 37], [4, 29], [4, 31], [19, 44], [66, 92], [208, 234], [9, 36], [57, 84], [163, 190], [135, 161], [35, 61], [33, 60], [40, 67], [13, 39]]; loss = 0.030333 low_pass_filter = 3.333
+Epoch 0: | | 1379/? [13:44<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 1380; scene = ['188e6ed22a7fd36d', 'b6a96ac39415c7eb', '4cc1fe94dc835080', 'bda1da95e32bfa6f', 'b1ddaa87daa7e8c4', '231b021798b62c23', '75658e8027c86067', '0a9dfffcef241987', '43d6c0f25725e6cc', '68657e48548014c1', '390c16381bcb8a76', '53444636e876dab6', '8939b98ed0a32929', 'b861254595ef36a0', 'df7483e3abe31e97', '6762b70cfb8a36d5']; context = [[38, 65], [2, 29], [109, 135], [29, 55], [62, 87], [40, 66], [45, 70], [61, 88], [11, 38], [40, 66], [14, 41], [125, 151], [44, 70], [45, 71], [119, 145], [147, 172]]; loss = 0.033652 low_pass_filter = 3.333
+Epoch 0: | | 1389/? [13:50<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 1390; scene = ['5845df26727f9a9c', '7af47ea3a7db02cd', 'ffc17b42b9b19c90', '8bff6dfd39e98bb0', '71eb4467bf241478', '1f6ad370994d583b', 'cded1d6471249eb8', '5d6afe2e0975c16b', '4914161135e0191e', 'b5e0441cfe20034c', '60981b21dabe4e2a', '3ab61550a3a02ca4', '755629a58eba68f0', 'dbb18d75e5600794', '2bdc0fd8c339c3f5', '2cd9451a8f8f8f72']; context = [[52, 79], [6, 33], [84, 111], [59, 85], [23, 48], [125, 151], [21, 47], [7, 33], [80, 105], [0, 25], [23, 48], [19, 46], [210, 237], [0, 27], [61, 86], [75, 100]]; loss = 0.035247 low_pass_filter = 3.333
+Epoch 0: | | 1399/? [13:55<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 1400; scene = ['3aa1b31b218bbda3', '502f46627ef7692b', '8d5406cd225237f4', 'bb541f2c0409a5cb', 'cb7e22191dc3a20b', '56ba21867ca58ed3', '91fb76c74c6fe7d9', '64bb6fe5f0484ccf', '52e55a9250f55a45', '105d995e386ac845', 'ce0e20a4bfd3ce6c', '3854d2ee21c7777a', 'be438e2866712dde', 'b4e7bdfe326febef', '3a58b9a19697ebee', 'fe08a0854434930a']; context = [[48, 74], [13, 38], [3, 28], [251, 278], [3, 30], [181, 207], [8, 35], [126, 151], [32, 57], [35, 61], [22, 48], [16, 42], [94, 119], [16, 41], [9, 36], [81, 107]]; loss = 0.030859 low_pass_filter = 3.333
+Epoch 0: | | 1409/? [14:01<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 1410; scene = ['57af18aad3517def', '83f6f1d6f7bc3145', 'b690a44f418ac4ca', '02af8885e7cb41d7', 'eda9a550ecd42a6f', 'ecf44fdec12c9ddc', '8379b59afe807099', 'ece06aa8ec578fc5', '532b4823217b37f4', '72655eb92e7a819e', '5635caabe31c654f', '4828d3b7ef441838', '3f1f6c65bc38ba4b', '0bc8cc9ea82a89cc', '24dde142693c6090', 'ea9bb07d43b25381']; context = [[0, 25], [11, 37], [92, 117], [25, 52], [9, 34], [60, 86], [227, 252], [8, 33], [128, 154], [102, 128], [116, 141], [130, 156], [28, 53], [53, 78], [0, 25], [62, 88]]; loss = 0.032901 low_pass_filter = 3.333
+Epoch 0: | | 1419/? [14:07<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 1420; scene = ['2aef3ad326754282', '607df63ac84ed24b', '7fd22122081822e6', '3ffaae059b8246c5', '74dcad37801d064a', '02e2b6f027f4aff9', '03b200f98be1abc1', '10af229200d8e189', 'ba6091fde6e9ec9d', 'b69737f8793f8741', '2bbe015bfbec987b', '586168cbb8fd4583', 'e6d9e5c4d1e6eac0', '475f76d77a5bbf1e', '2a1831b328268345', '7d72b709f49b961c']; context = [[56, 81], [56, 81], [143, 169], [68, 94], [87, 114], [16, 41], [1, 26], [33, 58], [44, 69], [68, 93], [38, 64], [17, 44], [19, 45], [70, 95], [9, 36], [3, 30]]; loss = 0.034891 low_pass_filter = 3.333
+Epoch 0: | | 1429/? [14:13<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 1430; scene = ['e04f7fb189a186f2', '00cdf8750f5182cc', '7aec8305761aba3c', '06021e71c89de687', 'f8fb59071f05cb6d', 'b4afa5f85689421b', 'c7ff883d4ef56b7b', '44ded41b9cf45aa9', '6ab57cd9157e6a56', 'a911a110601a4ca5', '8b4c32a747a57d29', '3aaf196cec8a2321', 'a7856fd2bf7abfff', 'a91273014e18ab07', 'cfb777727f710dcb', '3b66d0bc7c21a606']; context = [[176, 202], [101, 128], [178, 203], [5, 31], [4, 30], [93, 119], [154, 181], [42, 69], [32, 57], [109, 136], [11, 37], [33, 58], [37, 64], [132, 157], [0, 26], [49, 76]]; loss = 0.030374 low_pass_filter = 3.333
+Epoch 0: | | 1439/? [14:19<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 1440; scene = ['b3c1b2ae6ceafc55', '6016abdc3fcd547d', 'f02194b56e76b29f', 'e82737e53b7f6515', 'cdef81148d7e3223', 'de504bd8de0b34d7', 'fe545b889554fa8f', '2f64c3963a75cd2f', '23d449ed98df6459', '3a2b8f56c88c71d6', '53ab12b2fa864f2e', '1ebe5e9f0f00bd77', 'aecc01b48165f467', '574de45f1295c3f6', '01f2cacd6196c1c4', 'feff16d3842dd1f2']; context = [[78, 104], [57, 83], [19, 45], [17, 42], [92, 117], [40, 66], [110, 137], [23, 48], [88, 113], [4, 30], [42, 67], [81, 108], [22, 48], [58, 83], [149, 176], [10, 35]]; loss = 0.029588 low_pass_filter = 3.333
+Epoch 0: | | 1449/? [14:25<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 1450; scene = ['471727b63053034c', '9a72f13665828446', '15ee0149c03dabf0', 'ed09c2c104691f41', 'e69bc9dfa8547753', 'd87ee6c5ee767299', '5220b6dddbd2b6c5', 'f2133cf68e6b7993', 'da3e683991ed2fc7', '6238b9bd511fd87c', '5167dc2231bfec63', '851ada2e51906f3c', '252aa7d6ffb0422d', '467e6cb4bcb7fc53', '14af89bdc75382ab', '90bdc80baa33848a']; context = [[33, 60], [65, 92], [39, 66], [21, 48], [46, 73], [28, 55], [40, 65], [3, 29], [0, 25], [6, 32], [3, 29], [37, 64], [48, 73], [51, 76], [7, 32], [71, 96]]; loss = 0.028257 low_pass_filter = 3.333
+Epoch 0: | | 1459/? [14:31<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000, ltrain step 1460; scene = ['024302734be23cfb', '283653f302cda895', '54b4679cff88a6e7', '8926ee7e50292e45', '4bae5fcc074c77ef', 'dc7049ad80e43f68', '22aabb68991097e2', '19c383ad9f21d0d3', 'f53ae42fd04748b9', 'de389793b2411ed3', '24a1a6c52a633727', '2390b6d9b2bf70cd', '56475aa6dd366e20', 'd6df31b91d86f26a', '8e94de9c1bc0732c', '4088226cf84d6641']; context = [[99, 124], [54, 80], [25, 52], [22, 49], [16, 42], [68, 93], [136, 161], [96, 121], [129, 156], [58, 84], [62, 88], [0, 27], [2, 27], [190, 217], [62, 89], [108, 133]]; loss = 0.027438 low_pass_filter = 3.333
+Epoch 0: | | 1469/? [14:37<00:00,  1.67it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 1470; scene = ['39e7fa32d953fa6e', '13e0eb10aa5c845a', 'd35650707515c2cf', '8255b64ea7989de6', 'a781aa9c808d47aa', '5dd56196ee851032', 'bdccb33a12175af6', '4aa5669dc0c886cd', '4fd056d18c23b0a1', '14a04b4cda7ef5f9', '4615200729431cf9', 'e9e869bfb9e91e85', 'a2ca64e40c8e4504', 'e7066bc6213cf70a', '7a23fa2da5188bc2', 'f0d2efc6de8d8e8e']; context = [[44, 70], [12, 39], [82, 109], [10, 37], [46, 71], [124, 149], [110, 135], [23, 49], [52, 79], [75, 100], [16, 43], [20, 45], [67, 92], [13, 39], [51, 78], [21, 48]]; loss = 0.032033 low_pass_filter = 3.333
+Epoch 0: | | 1479/? [14:42<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 1480; scene = ['c99f7cfff2a3a558', 'a911a110601a4ca5', 'a91273014e18ab07', '7b972598112bba1d', '8b4c32a747a57d29', '9e15e6abde58ecd0', 'cfb777727f710dcb', '44ded41b9cf45aa9', 'fe14169fb3dbe5b6', '5fece0c061a8e0fa', '3aaf196cec8a2321', '01321cb2acbc1789', '6ab57cd9157e6a56', '3b66d0bc7c21a606', '29e66187adc8109d', '3613d171a64c1db1']; context = [[56, 82], [10, 35], [13, 40], [156, 182], [89, 116], [29, 55], [0, 26], [27, 53], [24, 51], [27, 53], [42, 69], [12, 37], [42, 67], [54, 80], [2, 28], [1, 27]]; loss = 0.030874 low_pass_filter = 3.333
+Epoch 0: | | 1489/? [14:48<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 1490; scene = ['8b97a226a5f0dc3e', 'a6a55b3c0ac5e758', '791ac11a2f29900e', 'a47bcdf9bd890995', '03a2379e89a8ee14', '225dbb89dbfdf8f8', '794f82190c77df55', 'aaea1523d175b491', '350abc56828c23a5', '78a6eeddf60f13a9', '7c9d80ba810387fb', 'c3650e874d310a95', 'dcbeb67f1bb0a7a8', 'ec5e23007d81eb4b', '2601f8212a78888f', 'c23235f62a322c6f']; context = [[57, 82], [60, 87], [14, 40], [127, 152], [45, 71], [193, 218], [35, 60], [54, 79], [146, 171], [16, 42], [34, 59], [32, 58], [104, 130], [53, 80], [25, 51], [6, 33]]; loss = 0.034662 low_pass_filter = 3.333
+Epoch 0: | | 1499/? [14:54<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 1500; scene = ['e39f44aa52d64b39', 'e594526318450281', '663ae54fb0c5ab61', 'ea64386468ff288c', 'bbbeff434b0e07ca', 'd3c7f6d65edf8757', 'da97370838c47a7b', '9d228d632f9612e9', 'cc1fdafaa596fd5f', '7b05f307746ab16b', '4e69e5f13b240972', 'af951254b2254af3', '4cbc09a660b88e25', '47ef1b5ed7e0f8bc', '09939f6760e4afa4', 'a5f0144bd9a5fa8b']; context = [[64, 90], [77, 102], [24, 49], [4, 30], [139, 165], [103, 129], [24, 50], [22, 49], [9, 34], [95, 121], [46, 73], [46, 73], [48, 73], [50, 75], [22, 47], [16, 42]]; loss = 0.025687 low_pass_filter = 3.333
+Epoch 0: | | 1509/? [15:00<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 1510; scene = ['bc2eca34027df8aa', 'fd388b248d1231eb', '59e7c3a5fcd5bf16', 'de2ea3a3d17f95b0', 'c4359a079e27d441', 'e68309f89fff255d', '1b6ebc703d3b9697', '8b79d5fab54f0f41', 'a52ee89267dfab70', '75a614e20d102201', 'afb01e1fb64e03e3', '4263e8ea79e1dc7c', 'c6b5d87ebdfdd4cc', '6b4e165700878c6a', '1e6fb6563254c02d', 'f029bf7237a8d92b']; context = [[70, 97], [63, 88], [22, 47], [11, 36], [80, 106], [87, 113], [113, 140], [10, 35], [6, 32], [160, 186], [30, 57], [12, 37], [6, 31], [44, 70], [112, 138], [73, 99]]; loss = 0.034440 low_pass_filter = 3.333
+Epoch 0: | | 1519/? [15:06<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 1520; scene = ['e7ae5d42e1d888df', 'f7f0c6e26e4ba0f5', 'f346ad8f09bae95a', 'f9b775ee94d60763', '4009a342664a96e1', 'ed41e978b59c7dcd', '4690c960b7afdb40', 'fc434865599d2fe6', 'ca6fdc4b5c38fc1a', '18f0c92d9d8786dd', '85b956080085cac5', '98735bf18e9d2a52', 'a162cdb8ce63cec4', 'c8510dd2d98c4de1', '4d0c3e56bda4fd40', '2fc891cada0f22a9']; context = [[35, 62], [79, 106], [38, 65], [54, 81], [203, 230], [50, 77], [54, 79], [11, 36], [107, 133], [7, 34], [37, 62], [131, 156], [102, 129], [36, 62], [27, 53], [7, 32]]; loss = 0.027914 low_pass_filter = 3.333
+Epoch 0: | | 1529/? [15:12<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 1530; scene = ['321addf5693a66aa', '7351b1a8a7405871', 'c3062cb8fc7a0efd', '56aa1a07e8078b1a', '5bb48faff3b8852e', 'cfddf9bb9307d661', '62e8f32c902fe339', '6f9a3dfc789b9a51', '79c0857364ffcef4', '7c48a30f23ea42c3', 'ceeffa13358a48e3', '61d389bddcbd9228', '246448e7e0c09732', 'f8f81ce73652f17b', 'a3ba516404cbd39c', '664b327ec00f0235']; context = [[68, 93], [15, 42], [146, 171], [141, 167], [24, 49], [149, 175], [10, 36], [21, 48], [78, 103], [46, 73], [96, 123], [133, 158], [30, 57], [189, 215], [0, 25], [23, 48]]; loss = 0.029023 low_pass_filter = 3.333
+Epoch 0: | | 1539/? [15:17<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 1540; scene = ['98f99d46d0b636c6', '1e55d866b0335343', 'c520e25d5bd303ec', '7ce59b93cd4d98ac', '30878b54736367da', '37f5c9bd33e92d4d', 'bfa9042d0f35d6df', '63d30096d9447949', '69a31234f2d534f3', 'ecd91cb5b8acbad9', '27df9ee1be012ff1', '9df62c48e94a6bd2', '8b6c25d98b699b6d', 'fda12c961edaa2ed', '46fba2ccb0c2f48e', 'e0c4d841d11abf19']; context = [[2, 27], [184, 209], [63, 90], [132, 158], [51, 78], [188, 214], [25, 52], [24, 51], [0, 27], [19, 44], [53, 78], [35, 62], [3, 29], [12, 37], [201, 226], [0, 25]]; loss = 0.031758 low_pass_filter = 3.333
+Epoch 0: | | 1549/? [15:23<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, ltrain step 1550; scene = ['c7515b2d8304ab3a', '9badf4ba1f34f120', 'e048704f3f590ba8', '6e2c73ab63bf5e87', '081919bf31bf790c', 'bd242939c1449d8e', 'baebb7f6b21b1b2d', '3536319c169d43c0', 'b18ac63baf4baee0', '1b7697fd8dfb8717', '07a7501a512358e1', 'c6c0e46d5daafd20', '08751a636714627d', 'c85ef98584c441bc', 'ec56ecaa7be14db0', '7d6c1fd4e7714f22']; context = [[99, 125], [2, 29], [218, 245], [25, 51], [110, 135], [100, 127], [81, 107], [30, 56], [27, 52], [27, 53], [95, 121], [42, 67], [7, 34], [99, 124], [70, 95], [2, 27]]; loss = 0.025186 low_pass_filter = 3.333
+Epoch 0: | | 1559/? [15:29<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 1560; scene = ['5352c49242ed5ea8', '5398df70fa449fe6', '5a6f0d61f1e3b83b', 'dea0ecb2d7c064ef', 'f5bee2606e50f3a4', 'aae540ebe4c9f468', '4c823fb946d4ebbd', 'da557a6ffdb660ed', '7dd925c36cbbbbe1', '4395c655707708d7', 'd2e8cf4e3a7c7091', '5e338d0edaed69c9', '1923c17bba10fce6', 'b0ef90705c30b216', 'c2c736c54d6b4374', 'b01df43c4e798a4b']; context = [[139, 166], [26, 53], [132, 159], [165, 190], [174, 199], [27, 54], [3, 30], [14, 41], [32, 59], [188, 214], [13, 38], [7, 33], [30, 57], [50, 75], [7, 33], [101, 127]]; loss = 0.028775 low_pass_filter = 3.333
+Epoch 0: | | 1569/? [15:35<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000, ltrain step 1570; scene = ['af90a0a7bfb09e86', '61b8e9a04d4980ba', '420abf6c08210c4b', '6ac1609e850602de', 'e0737923208792c1', '63a59d5530371249', '32e727d8ae7909eb', 'cb82108b17ee5e26', '84216623fa45999d', '4cf19d6a6670c140', '2ae58ab852e5f2b0', '58a0b181f4b085a4', '6d18dccb13ee22fe', '06b7373c3e1db7c7', 'd1cec066a405c001', '16089827ac8bfe5f']; context = [[113, 140], [24, 49], [9, 35], [72, 99], [3, 30], [42, 68], [71, 96], [41, 68], [120, 146], [55, 81], [54, 79], [18, 43], [30, 57], [26, 53], [33, 59], [237, 262]]; loss = 0.030998 low_pass_filter = 3.333
+Epoch 0: | | 1579/? [15:41<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 1580; scene = ['1ab73610902ef496', '589eca489876d5ce', 'c24e778228e92bab', 'cc0f96cc71a6dd66', '87b39fab5d5d0845', '9dace42deebd482f', 'eb864005eb96e04e', 'fcc7db4ad1f2444f', '6ad946dc7c7a5ae7', 'b57c94bebfabeab0', '8ec32dd001a2b529', 'afbf21db765f449f', '129aa9e63c248582', '96489fd56f875313', '73b234b2701f10c5', 'aeba216f34aff2cf']; context = [[9, 35], [45, 71], [11, 36], [48, 73], [17, 44], [223, 248], [90, 116], [53, 80], [199, 226], [1, 27], [21, 46], [7, 33], [13, 38], [46, 72], [27, 53], [7, 34]]; loss = 0.030764 low_pass_filter = 3.333
+Epoch 0: | | 1589/? [15:47<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 1590; scene = ['90510b024ab61074', 'af639164a8dc63fc', '58e8608524c8af53', '687162e3d133187e', '49d6b79b2517c1ec', 'c00094fc65365c02', '2845ebc375b64680', '644288bfbc415e99', 'e468dbe028f3fcbd', '395b94f7cf747d1e', '15f15ef3017065f6', '771aa992eae9a574', 'c6335bb1ed4feee6', '41ce692db2b7b72e', '1c8182e508006626', 'a28f41ab97fb6368']; context = [[0, 25], [34, 61], [3, 28], [6, 33], [69, 94], [28, 55], [0, 27], [117, 143], [1, 26], [61, 87], [226, 251], [33, 59], [40, 66], [164, 189], [74, 100], [201, 228]]; loss = 0.034309 low_pass_filter = 3.333
+Epoch 0: | | 1599/? [15:53<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 1600; scene = ['78b144c459f5ff2b', 'a4c64169db7b2845', '07f8f5682ad750c1', '01a8c5f00e17623c', 'cde7d671fa8d61ac', '4b646e9cd1eca47f', 'c7f7303fcbc52b43', '8f55e3be4fc8d508', '4068a60c400421e7', '43073eb89fa57d37', 'da1ec5bea0dee3d1', 'db09edb16cf63afb', '652f860523c0d63b', '22a76d98bd2d748e', '82ccd88cc5bf3f8d', '794b1f61bb53511e']; context = [[4, 30], [6, 31], [8, 35], [106, 131], [0, 25], [0, 25], [65, 90], [57, 84], [44, 70], [24, 50], [103, 130], [1, 26], [10, 35], [82, 108], [33, 60], [31, 57]]; loss = 0.031394 low_pass_filter = 3.333
+Epoch 0: | | 1609/? [15:59<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000, ltrain step 1610; scene = ['8ac6426cb060bc50', '66ed8d9f52f04621', '9a6451d7cac94bff', '73aa6a629b161d6d', 'd7062606188ddc74', '7dbd9d5adbc298b4', '57970e0833b5963c', 'f4bd64444124a20c', 'bca3877f59d640fb', '8b828069f8f824a6', 'e24bcd02fb1d6e1e', '1afdeca5e59e0ac3', 'dc67497a3e582670', '0144de7e0f137b77', '6a50dc3720276e24', '6415de64be8a1d74']; context = [[136, 162], [48, 75], [1, 28], [2, 27], [30, 55], [6, 31], [8, 33], [27, 52], [72, 99], [61, 87], [4, 29], [147, 172], [78, 103], [18, 44], [27, 53], [38, 65]]; loss = 0.029083 low_pass_filter = 3.333
+Epoch 0: | | 1619/? [16:04<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 1620; scene = ['7b6eabbbf765f5d2', 'd47e75b15999fbdf', 'f70e634ec33f861e', '302dce331d4fae7f', '3f46d18800b31883', 'c95e9f2c9f8fbcab', '0ecb8e2597c98e05', '438b09876af8f04e', 'df8aed95e105f065', 'f9b3fd7bc45c853a', '01df58c292aa0310', '1b4c3cfe64fe6067', 'a9909b47ff5dd70a', 'c35dc20bc06a5dbd', '23db21e00f2d8776', '350ee2da20bba2be']; context = [[22, 47], [19, 46], [38, 64], [3, 29], [97, 124], [22, 47], [72, 98], [46, 73], [47, 73], [117, 143], [90, 115], [109, 135], [17, 44], [45, 70], [181, 208], [41, 68]]; loss = 0.029990 low_pass_filter = 3.333
+Epoch 0: | | 1629/? [16:10<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, ltrain step 1630; scene = ['26f11847ab7e1b55', 'a7dbd6c8a26b2dbe', '256ae648672281d1', '65fce5bd0d83d483', '93dbd8286e9b7ad6', 'd4947e4e6e324253', 'e70c21625fceaebd', '1e8715fa89b98696', '71da350128beda8e', 'a4a176dcde73ea17', 'f451336748d9ee77', 'ac8df6252c2b8715', 'aa70400f2fc7e975', '5fa60eb00fe9c983', 'afd1b26a7b3f5833', '0c7cadc659ac1393']; context = [[112, 138], [99, 125], [20, 46], [140, 165], [14, 39], [79, 104], [6, 32], [41, 66], [5, 32], [55, 80], [4, 29], [10, 35], [184, 211], [19, 46], [9, 36], [25, 52]]; loss = 0.031908 low_pass_filter = 3.333
+Epoch 0: | | 1639/? [16:16<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 1640; scene = ['f34a13eea58b43f6', '947b9b324827c237', '738fc5def84d4b61', 'c7e6247010b2fd76', '42945d638bfac537', 'da1a1a59c2b6b5dc', '96c6e2db1b6b3961', 'e2f199d364a2dd73', '6fc575ee0d5ba914', '75d0d7f85e197e5d', '217c6e278b7b4b91', '313d67b805705572', 'bf1b3df661689e32', 'd432223d014b318d', '39e99101dae5b664', 'c6252c821a5310db']; context = [[1, 28], [43, 70], [7, 34], [69, 95], [124, 151], [2, 29], [247, 273], [80, 105], [7, 32], [93, 119], [10, 36], [28, 53], [13, 39], [14, 39], [4, 29], [18, 45]]; loss = 0.027395 low_pass_filter = 3.333
+Epoch 0: | | 1649/? [16:22<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 1650; scene = ['690d71776caf2461', '4c182da5950c146c', '2eb1524cf08cff1c', '9966fa446a4eab97', '08e6f2da3ff31faa', '15870d691082eb40', 'a508ee63269e07be', '0674107d490c6586', 'ebab476bb06eeeb0', 'b6cc5bc6ed31f2a0', '3a93864c87776b40', '3e1333cca3b7486b', 'bd65472b54f34717', 'c06dc1d24e73b1b6', '233dc4174425622c', '3954a34db791a545']; context = [[69, 96], [150, 176], [53, 78], [145, 170], [119, 144], [15, 40], [131, 157], [90, 116], [132, 159], [18, 43], [96, 123], [40, 66], [157, 184], [111, 138], [31, 58], [13, 38]]; loss = 0.031805 low_pass_filter = 3.333
+Epoch 0: | | 1659/? [16:28<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 1660; scene = ['cb3f9a003c272957', '1662e7a8e989cc86', '0e52526ad6ae0cbe', '687fcd475fafd53a', 'bbbfb82b51d26b7d', '252eeea290153060', 'd7beff4d08f7f7c0', 'fb46a820975c2449', 'd5a3940bb6a3363e', '4be99782bb201a87', '90a599cbae3f7f49', '17305b0b98053dee', '259d50e9e6434426', '9c437a1ff26fc63d', '31f802c4d94b2a8c', '3ca9f2ea058b7220']; context = [[133, 158], [92, 119], [135, 160], [45, 72], [24, 50], [41, 66], [84, 109], [114, 141], [227, 253], [55, 82], [41, 66], [38, 64], [32, 57], [106, 132], [65, 90], [35, 61]]; loss = 0.027332 low_pass_filter = 3.333
+Epoch 0: | | 1669/? [16:33<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 1670; scene = ['ba8254c9d0eb8a6f', '1c7fcb270b14fe08', 'f0ebdc3c38328266', '89162229eabb3797', '231f647344adbfe5', '3c2562d841d087ac', 'a864af7ee1e31eb0', 'f281ad937282c080', '708f9f5df8fc6ed0', '5d709e068e3236cc', 'd481fa99ea0ed419', '79f4dd50557918b7', '54b26b7357f81c78', '7d38d8fbf560e9cd', '8dece22e0e59e1eb', 'b1dbb5ecb3d46dbf']; context = [[71, 96], [8, 33], [29, 56], [10, 35], [87, 113], [11, 36], [54, 79], [99, 125], [1, 28], [48, 73], [247, 274], [47, 74], [13, 40], [2, 29], [45, 72], [23, 50]]; loss = 0.024649 low_pass_filter = 3.333
+Epoch 0: | | 1679/? [16:39<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 1680; scene = ['2dee81e96f68d0db', 'cff1b98f34078617', '20d14025efeae3d1', 'cad624fb40c7edd8', '711a29d5a720879b', '240199c68e19e362', 'bb4a8f32e82e7faf', '9badf4ba1f34f120', 'e69daba3949f3936', 'bca125d17728c7b7', 'c7515b2d8304ab3a', 'e048704f3f590ba8', 'b239e4af87eb8638', 'dd0635f073625657', '49cf65f63721a3ea', '3410860af4c5cf8e']; context = [[32, 59], [56, 81], [4, 31], [200, 226], [18, 43], [5, 31], [90, 117], [6, 33], [219, 244], [15, 42], [154, 181], [37, 63], [98, 124], [64, 90], [23, 49], [73, 98]]; loss = 0.035216 low_pass_filter = 3.333
+Epoch 0: | | 1689/? [16:45<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 1690; scene = ['457556b04e7cd668', '8eced2dc34158d45', '158dc09f8a9ab006', 'be3f0829965782f5', 'ecd0fa4f3bb29b99', '4937247fb2749a01', '08762e5e9f8755b8', '87975b8c008e3881', '98a47195893ba6f7', '31e356b9fe421e30', '53a4687fe4c80864', '840394639a2b1320', '3bdcf30a816f96f5', '82b9f261da55d52e', 'f8c51265453ae30c', '9e1a163a4b26ae11']; context = [[39, 65], [125, 151], [19, 46], [0, 25], [75, 100], [142, 167], [170, 195], [22, 49], [27, 54], [39, 65], [31, 57], [14, 39], [51, 76], [35, 60], [20, 47], [48, 74]]; loss = 0.028440 low_pass_filter = 3.333
+Epoch 0: | | 1699/? [16:51<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 1700; scene = ['fd840aefa49b09d3', 'be3290ac59571445', '2de19cb1c144c8b4', 'd0c8bd037dd1a8ba', 'ca1925532ad236a0', '83723529771921b7', '0032c663bb6d838e', 'ba044124b9e7261c', '4762616d9149433e', 'ac090d5fdb989475', 'afd79cf17dab3e39', 'ac9aec32ea6234c2', '74cf66be9d66c8c2', '9ab195e4a4c1e26a', 'bf2209a2538edc1c', '9b31c4820fa50473']; context = [[46, 72], [27, 53], [28, 54], [184, 211], [23, 49], [88, 113], [2, 28], [55, 81], [86, 113], [63, 88], [154, 180], [26, 53], [0, 26], [8, 35], [42, 68], [14, 40]]; loss = 0.029592 low_pass_filter = 3.333
+Epoch 0: | | 1709/? [16:57<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 1710; scene = ['95cd93e95dffe35b', 'ddabe0fc995cbc39', '1afd39e5280277bb', '9abe0db0374db859', 'b68cfe04fa83d13a', '677748baf15925e0', '70a51dc88d4ff701', 'ff48623caeaa8f9c', '57be712fb0ea2f4a', '966fe01da602a653', 'f427a711c9d913d7', '7634ccdf6c344129', 'd7435afbd0b0a8ae', 'd245364fcccb1139', 'b1b3e987c23640dc', 'd61baebe55920a9c']; context = [[4, 31], [28, 54], [17, 43], [32, 57], [33, 58], [32, 59], [58, 85], [61, 88], [56, 81], [54, 81], [2, 27], [16, 41], [1, 28], [10, 36], [27, 54], [5, 32]]; loss = 0.032625 low_pass_filter = 3.333
+Epoch 0: | | 1719/? [17:02<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 1720; scene = ['e07e08f341770ca3', 'b43fed931703ab76', '4f169d470b87ffd7', 'd428826914bed12d', '43dc5c8c8859dc3c', 'bb6af706745a579c', '5406f3e3f53b842c', '4f41b0ce610b9bc5', '199a9ef5a23a3db9', '341986d27509ff20', '6ac5014676fde670', '3820cb5d4ed07d1b', '6cdbcf635b46fa7a', '3985b66cc91776eb', '4af1f08d7b5d1523', '6545dab9a4699ef0']; context = [[54, 81], [72, 97], [7, 32], [1, 27], [29, 55], [48, 74], [1, 26], [14, 40], [19, 46], [53, 78], [93, 118], [190, 217], [69, 96], [3, 29], [42, 67], [61, 88]]; loss = 0.029737 low_pass_filter = 3.333
+Epoch 0: | | 1729/? [17:08<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000, ltrain step 1730; scene = ['d146ae9445f5411a', '24796eab91d76073', '8539281bf2d95806', 'b9f2a7afe1c19bda', '24347fd8b78724be', 'c8d797f57b4dbc0c', '0cb234443d24b50f', 'be8f948f75a0a418', 'ffbbacafa10e1711', 'ea447aab2dac7662', '775454bdea6893b0', '034dad4d1889371e', '304c15cc24ffac86', 'cfc61eb87df87ae0', 'd2bda0901d3ee82c', 'e7449658b8889d97']; context = [[22, 48], [90, 116], [124, 149], [47, 72], [105, 131], [4, 30], [22, 47], [193, 220], [97, 122], [156, 182], [22, 47], [72, 99], [146, 172], [6, 32], [18, 44], [72, 99]]; loss = 0.032752 low_pass_filter = 3.333
+Epoch 0: | | 1739/? [17:14<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 1740; scene = ['5228c2104f8fae53', 'c953d129166956cf', 'b3c9ebc907ec6e04', '242016b24b4251a6', '2c818e06fab2adb1', '32594792c3f9361f', '3dbb2c1bc521b62e', 'b407aff58d0b2042', '4a2675dd01f283a4', '618e9c0c539e9889', 'bd918471f79c3d19', 'd0edfa488493a780', '735286cf35dba264', '384827d938252ae4', '9d33be739ced144d', '273828188c93adb4']; context = [[42, 68], [1, 27], [51, 76], [53, 79], [5, 31], [10, 35], [43, 70], [116, 142], [2, 29], [49, 75], [23, 50], [108, 133], [32, 57], [34, 59], [139, 166], [104, 130]]; loss = 0.031664 low_pass_filter = 3.333
+Epoch 0: | | 1749/? [17:20<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 1750; scene = ['562f4e6ffc1fa73a', '7adf869eb170f616', '045a00b4448730ad', 'b9ad9897e3b13dcc', '674b0b8d7a33588d', '525fe1b5f060ee0a', '82f673da64c6dd27', 'ce3829b629e8a38f', '69e94c1fd190cc2f', 'ccc0b3afc5deb0c1', '6e265cfc58ee5e9e', '5fb8e9b538312526', '2ece3814cb272056', '08fafa925134cccf', 'c35f0dfaf6507d58', '15872714425b381c']; context = [[212, 239], [19, 45], [20, 46], [32, 59], [18, 44], [34, 61], [67, 93], [16, 41], [26, 53], [15, 40], [41, 68], [12, 38], [38, 63], [67, 94], [25, 52], [62, 89]]; loss = 0.031905 low_pass_filter = 3.333
+Epoch 0: | | 1759/? [17:26<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 1760; scene = ['ca9bea80d4e5bcdb', 'cc62a8c047cea639', 'a8bb6bdd8e1832b0', '6075fb811d2794e2', '67d9a8ec0e4060db', '3facfcb00b8697dc', '16166f53500a5dc3', 'cf6bc43fbf8c8dd2', '29d7ac3298d00f4d', '069539334170c1c9', 'd0920dbaced16c29', 'ba6b9051d2f9ac9a', 'd5965cafbae5226b', '6b98e19060e46fb9', '04a742730f96266d', '1fe2d66eef5f1e35']; context = [[21, 48], [76, 103], [50, 77], [140, 165], [51, 78], [37, 63], [24, 50], [38, 65], [16, 43], [40, 65], [30, 56], [36, 63], [42, 68], [27, 54], [30, 56], [47, 73]]; loss = 0.027932 low_pass_filter = 3.333
+Epoch 0: | | 1769/? [17:32<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 1770; scene = ['52fdb6f042edafa2', '15acd9257cdd6713', '2a652e3614e59c80', 'dc60b19f3ec8f234', '6b16365848d1ad7e', '5a721534e874a9d8', '70c9c243f90fe538', 'aa2883136b009b8f', '0d0184bdc09e63cb', '26e89c85acbd3466', 'f0f9dc20febf63c6', '4be699c3e7ef0940', '078b712f247875c4', '0e9e8dd84bc136de', 'db3b613d2dda8b86', '76dae941ffcc3e94']; context = [[57, 85], [8, 34], [10, 38], [69, 97], [38, 65], [24, 52], [197, 224], [90, 117], [17, 44], [13, 38], [66, 92], [0, 25], [21, 49], [13, 41], [17, 44], [165, 193]]; loss = 0.030811 low_pass_filter = 3.333
+Epoch 0: | | 1779/? [17:38<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 1780; scene = ['b4b8ae61f71c6318', '4b66bc17968e1d91', '844febece1121b36', 'cef967e6c2895c19', '4cff16e51b60bc1c', '2370a07a0d1e7930', '8f8fd92008130071', 'f15ab5fa73a8b30f', '0723036aaffa8c75', 'ff26955ac80e19c3', '930f0a917b4cfb3d', 'cdd61981792b29b8', '44389be039971d59', '06a2e5bec5c290ff', '054deb949142152f', '27f4e49e83874403']; context = [[22, 49], [75, 100], [49, 76], [173, 199], [175, 203], [7, 32], [13, 39], [6, 34], [173, 200], [8, 35], [25, 52], [70, 96], [1, 29], [113, 141], [11, 39], [135, 162]]; loss = 0.024874 low_pass_filter = 3.333
+Epoch 0: | | 1789/? [17:44<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 1790; scene = ['65f0e3e59c13bbf7', '6e382565509eee56', '42512ca51e222e21', '19c82c4edda91a31', '67fb1d1f68b8103b', '3ca99a6faf336ee3', '8ec369930c8cf16f', '171b7984269c478d', 'f6d65c637ff68de3', '2ad77eb190b91f41', '600258382acb22b2', '92f5676ecb7efbec', '729019c3de92b636', 'bfcbf333b49f18c6', 'b8c266ba9042dc2c', '17c07f3363ca18b5']; context = [[88, 116], [0, 25], [74, 101], [204, 232], [62, 88], [26, 51], [37, 63], [38, 63], [26, 54], [57, 85], [0, 25], [74, 99], [5, 30], [137, 162], [1, 28], [10, 35]]; loss = 0.028921 low_pass_filter = 3.333
+Epoch 0: | | 1799/? [17:49<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 1800; scene = ['fc80bd93e17d88ef', '77c62a956f8cdd9c', '58e2b9657cdccb2d', '406b4a3292eccd0c', '44bc242930167a67', '389e63d778d22e90', 'f13afb1b46890e37', '1c40dd7f494f5c49', '83f0a5456f9b1818', 'db4216b2a2281ce3', '606a39f22e8d7b84', '6d2d7e8c12846ba9', '42db4c46b6527336', 'c491321e6678f76f', 'ff2403c3a529c398', '88de5a9dbaaced91']; context = [[108, 135], [3, 30], [29, 54], [33, 60], [32, 57], [95, 121], [3, 30], [9, 37], [17, 43], [31, 57], [4, 32], [176, 203], [38, 66], [17, 45], [49, 75], [33, 60]]; loss = 0.033236 low_pass_filter = 3.333
+Epoch 0: | | 1809/? [17:55<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 1810; scene = ['2b2e393414434d21', 'de293aa708084e6a', '9b2935f1e10c316e', 'cbd0fd68dc918e6f', 'af8dffe590d32c98', 'e224df30b31181ad', '5083347cfbe0fcbd', '3dd40bedb474919b', 'e95e823fe73b0689', '0a4a18cdb7d53d0f', '7bb73771ab2e55e7', 'f045e2d4ef5b3fef', 'bb4af41a0ec303da', '00552c0c18b00e98', '250f2ede2019a91a', '46b81f067b56100f']; context = [[60, 86], [22, 49], [99, 124], [30, 57], [18, 43], [140, 167], [5, 31], [34, 60], [97, 125], [125, 152], [200, 226], [48, 75], [53, 80], [198, 223], [90, 118], [20, 45]]; loss = 0.029387 low_pass_filter = 3.333
+Epoch 0: | | 1819/? [18:01<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 1820; scene = ['ef0a592337c999f3', '9a7c6f09f20079c2', '1cc3251f1e085d81', 'fcc2ecb0bc03aca1', 'a8bb713dd5876fb3', '25aaf991662b1392', 'e2151e6bf7f90731', '4cca2ad1cde55681', '1d0de977f6c454e5', '24668195926b0c91', 'da0a55bfc7ac0d7e', '0ba56b76de23eac4', '7922209e3015f2be', 'ace26d090e35b8a2', '1f5c02c6a447177a', 'c2ca510a4a1617f2']; context = [[108, 135], [31, 59], [25, 51], [26, 53], [16, 43], [4, 29], [29, 57], [20, 46], [58, 86], [118, 144], [5, 31], [2, 27], [77, 103], [45, 70], [156, 184], [203, 231]]; loss = 0.031035 low_pass_filter = 3.333
+Epoch 0: | | 1829/? [18:07<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 1830; scene = ['78f16e65c28d82c4', 'c3c0260ba0806d90', '7ffcfa668aa71831', '561a986c611a8734', 'b66f268bccc2b42d', '5de79a134f0f0a48', 'd9726ff650caacd5', 'a8a38028127a9a57', 'af142cb077445f32', '98e625c8549cc4f7', '247ae10c0370568c', 'ab4aef17418308cc', '034a1f45d506268a', '100e901f7029d4fe', '6f53846229e4d5a4', '4974d2898597691e']; context = [[1, 27], [55, 81], [15, 42], [9, 37], [84, 110], [35, 60], [30, 58], [136, 162], [80, 105], [124, 149], [50, 78], [7, 35], [80, 105], [6, 34], [21, 47], [63, 89]]; loss = 0.026725 low_pass_filter = 3.333
+Epoch 0: | | 1839/? [18:12<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 1840; scene = ['5258ae529f43e083', 'fd2dfd73f01c7262', '85ccc785967a3105', '6eb91624364aaa65', 'f36ad32e649117b0', 'b971447d48d42607', 'ed4f0b586c17396f', 'd5835fb2f9cdf90d', '56f2a813921b6d83', '07659a0418a472c8', '73691a68196265a6', 'b2c684cf937ba6c4', '315f45e10716de12', 'b6fd2b07eba91c9d', '36b78f5cc8a35caf', 'da35cc9b10471676']; context = [[12, 37], [10, 38], [66, 94], [112, 139], [31, 59], [42, 67], [72, 98], [65, 91], [8, 33], [48, 73], [50, 75], [108, 133], [39, 67], [67, 93], [2, 27], [77, 102]]; loss = 0.032137 low_pass_filter = 3.333
+Epoch 0: | | 1849/? [18:18<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 1850; scene = ['fa0b5da578714df2', 'a7d704b0985c9640', '0f6c5c6a7157b7f6', '145da22a89e0ae0f', 'cf7c0bb5089abf7a', '4f7e0130b1068114', '1c9d377f12e3bf79', '96e97b817621a36d', 'af6f104783d5dd99', 'd9e9cd2134b9d66a', 'a6bee29ca4b79051', 'bda52ecfcef87a70', '4fb7456109baffbd', 'f4169cc065e23946', '92c12779991d2c6d', 'f4e2ad73e8e71b41']; context = [[2, 30], [1, 27], [67, 93], [24, 50], [56, 83], [25, 53], [38, 64], [20, 46], [143, 168], [68, 94], [44, 69], [43, 69], [16, 44], [16, 42], [10, 38], [40, 67]]; loss = 0.028412 low_pass_filter = 3.333
+Epoch 0: | | 1859/? [18:24<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 1860; scene = ['4c6e0eafc2e6c7ff', '7e8beb820f189792', 'af219727b1aece30', 'b6d96ca117b8b380', '99cc6ca43546208b', '583ab14553881ee8', 'fb97f55b61aa86aa', '59169909a46a7498', 'c984f50b210590b4', '6f27c2a023c0495d', '2b023270623346dd', '6e7024d848c715af', 'e6e8cc906c35e6e1', 'bb2a6aa230389112', 'a46b24193229d8c6', '1ff7805b58fa8baa']; context = [[164, 191], [14, 39], [30, 56], [5, 32], [51, 77], [41, 69], [23, 48], [13, 41], [125, 152], [6, 33], [119, 144], [17, 42], [12, 38], [16, 41], [37, 65], [13, 39]]; loss = 0.032175 low_pass_filter = 3.333
+Epoch 0: | | 1869/? [18:30<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 1870; scene = ['a744fdc585769a4b', '52d8989a74a35e76', '381676b229abbab1', '8337ea841729afad', '84f1b2387fb4ed36', 'ae8bc0141db29362', 'f02ac87191a94f65', 'b34dd66d4d3ce335', 'fb0239ef9a6badcd', '9b0cc25536e4bee4', '80cef9332c5c91c7', '346afdcdd046633a', '75ad4bc6ef1969a8', '8ed6bd5510e508fa', '5d7cf77400ec9c60', '28c4be784857bea6']; context = [[30, 57], [12, 39], [0, 27], [68, 93], [33, 60], [195, 223], [228, 255], [7, 35], [78, 105], [33, 59], [73, 99], [60, 88], [2, 29], [64, 90], [2, 28], [39, 67]]; loss = 0.032304 low_pass_filter = 3.333
+Epoch 0: | | 1879/? [18:36<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 1880; scene = ['958b9b173df2483a', '018e7d43f8ef9d06', '4d9a7d247630db3d', 'a5d896c07cc8008e', '6050e2ba7733cf5c', 'cceab800023488f3', '4dba5f75b8ee0f43', 'e175be14e93ba0b1', '50cf66a7122f2855', '4bdf1d786c5b1e8d', '2ebabd37e60ceef8', 'ce741ab39addbd9c', '93d3b5c3a5978975', '0dc7065a7b99d535', '3b0c6fee0faecce2', '9efb1558283915a3']; context = [[123, 149], [7, 35], [226, 251], [78, 104], [5, 33], [56, 84], [10, 37], [197, 222], [20, 48], [16, 43], [41, 66], [62, 88], [55, 83], [71, 99], [167, 195], [9, 35]]; loss = 0.031273 low_pass_filter = 3.333
+Epoch 0: | | 1889/? [18:41<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000, ltrain step 1890; scene = ['d5d73e1025a23bae', 'ef4a334b0a991e22', 'fe2fce8e4eb8f882', 'f523413a42b1908f', 'c0d1a0581fea22d5', '504f38f5d0b716bd', 'd6630f80b45ff8c0', '0722e6b29c398d78', 'ad7d01ce66eaa31d', '1e8f20a009268021', 'a2bc2177cf70eab6', 'f720437b9f3f2185', '7ed76c117c27b1e4', 'e242d43a1ef0a6eb', '48c774ef9e59bfdd', '0a0b7d56d8bb16f3']; context = [[61, 89], [2, 30], [6, 34], [32, 57], [8, 36], [136, 163], [6, 34], [123, 151], [39, 67], [9, 37], [26, 51], [42, 68], [52, 79], [74, 101], [35, 62], [6, 31]]; loss = 0.029074 low_pass_filter = 3.333
+Epoch 0: | | 1899/? [18:47<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 1900; scene = ['2028eac12a944ac1', 'adf73db30b5dc7ff', 'f86499380731b8d5', '8e4f26e204962462', '9c595a0f46169c48', '0a024fea841197c1', 'd58471c80d3b334d', '69937c2efa2c110b', 'dc4b01caf622c778', '351b8ee067a5b409', 'e45fd910f1e78bb9', '4be6e03316270eda', '0c7cb5d7206b8f56', 'a895746dbfcae9fd', '702d6cd812ef150c', '64327b991f165570']; context = [[12, 40], [184, 212], [14, 41], [34, 61], [9, 35], [46, 71], [10, 35], [74, 99], [217, 243], [73, 100], [60, 88], [59, 87], [222, 247], [35, 62], [9, 35], [63, 88]]; loss = 0.028229 low_pass_filter = 3.333
+Epoch 0: | | 1909/? [18:53<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 1910; scene = ['c00455dcc165a68f', '0a1e871f9b315451', '815a4673285e046f', '06597971725e1577', '32eb9f3b07a73e91', '420dfaaf7a8f542d', 'a92a74acb10a8d04', '2259ebad30a3dde3', '050dc1e2ec4c944a', '4b47048124bb163c', '0d37a906aea762f9', 'ec89d2e3fb950351', '7018544e57f7f58a', '02118eb117ee2add', 'd13b7505cba629ac', 'da957d7a5ff98548']; context = [[14, 41], [21, 48], [56, 82], [9, 35], [65, 92], [176, 202], [10, 37], [52, 78], [12, 40], [63, 90], [57, 84], [35, 61], [17, 43], [46, 73], [34, 60], [0, 27]]; loss = 0.030328 low_pass_filter = 3.333
+Epoch 0: | | 1919/? [18:59<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 1920; scene = ['669108f020ce9326', '9332241d744fcc89', '1c782a6280f77698', '7668427812272ec8', '72da2d7f756b1fd0', '956b787fa6250691', '06678f70a4f95b2d', '41fffc6d9d335b3e', '709476c26a219c69', 'c3ed8d0890eca234', '2636a68b00cbb8dc', '14cfc11be2d81617', '8291ffa5d473ed6b', 'aa85f1d551661c8c', '8b901a2a33f5ad6e', 'c46cc0b22cf0e2df']; context = [[233, 261], [29, 56], [29, 57], [56, 82], [14, 42], [23, 50], [7, 34], [54, 82], [25, 52], [115, 143], [17, 45], [24, 52], [211, 237], [43, 70], [24, 50], [25, 53]]; loss = 0.026320 low_pass_filter = 3.333
+Epoch 0: | | 1929/? [19:05<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 1930; scene = ['2b85a6b46f2ea8de', 'e72abbc2e978475b', 'd1ebaa99e640cd7d', '66a324d8c0a8b80c', 'a640a55439a43108', '414730ed5c31b509', '190dc10200a1049e', '2da17464ef895b63', '513aa200a2b07a1e', '9173a0f0f9fbfafd', '789a1573a8a7f5a8', '077a814db8619777', '62724e7e2af14f96', '0533d23dfb17f17b', '5991463c1d07dab8', '39537fd202eb32b3']; context = [[32, 58], [41, 68], [13, 41], [0, 28], [68, 95], [145, 171], [57, 84], [24, 51], [7, 33], [8, 35], [87, 114], [64, 90], [1, 29], [113, 140], [5, 31], [45, 72]]; loss = 0.026667 low_pass_filter = 3.333
+Epoch 0: | | 1939/? [19:10<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 1940; scene = ['59d290f1ca0b1a89', 'e5251115011169b1', '4b0b0606c0815dd0', 'b81b5b28aed15a63', '8c40e162a6c8015d', '80270eaee7eac592', '012ae7e6ae8eb7b1', '31c466a7c2920d59', '38b7b864ae7b21e9', '9d2f692bc13b2112', '15ffcb0d0b755cd4', 'ff38b550a0d17bc3', 'a931a011fa7011d4', '518d43ab4678201d', '204bec5c71cc55e0', 'a8ff01981f1c5b1f']; context = [[71, 97], [33, 60], [50, 78], [37, 64], [2, 29], [11, 39], [25, 52], [41, 69], [30, 57], [4, 30], [48, 76], [11, 37], [7, 33], [4, 32], [10, 38], [32, 60]]; loss = 0.030595 low_pass_filter = 3.333
+Epoch 0: | | 1949/? [19:16<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 1950; scene = ['82540acbe82766f8', '91c5409da74ce91f', '85098f10e7c0d7f1', 'e3a85631198a6eac', '0c8af3fa6aa60dea', '6bbb1f05446d7e85', '53e0ab24e36b3f93', '05eb05f4a63e0df6', '74d6913ef306badb', 'f904ba6dd57174ee', 'a86c32a25b92f015', 'c5105a963e0519d3', '66d961bc0d0aef7f', '186527ca122469cf', 'b3569c0aa91a5faa', 'd68dedb9478e3934']; context = [[22, 49], [116, 143], [135, 162], [38, 65], [24, 51], [25, 51], [155, 183], [5, 31], [15, 42], [85, 111], [125, 151], [50, 78], [157, 184], [11, 39], [31, 59], [5, 31]]; loss = 0.025153 low_pass_filter = 3.333
+Epoch 0: | | 1959/? [19:22<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 1960; scene = ['f249fdd072d2d35d', '27ecc84dfeef35d6', '9c002649b133ed7d', '9168f179a84dcc90', 'ceba0c9064ef2075', '4fb63d42b75f83ec', '9122be71240bb162', '999d1dc292628db0', '92ae0064b7c18b99', '2d5886bd890632c6', 'd670e439d6d9ae8f', 'ae76b3fefecf973d', '7426a108ff0bd8f0', 'cf579459b0fb66df', 'bb518b3a290d5e83', '7dbd9631683c5ae8']; context = [[39, 65], [6, 32], [1, 28], [19, 47], [188, 215], [30, 56], [9, 37], [131, 157], [41, 67], [83, 111], [37, 65], [3, 30], [28, 54], [188, 216], [10, 38], [93, 120]]; loss = 0.029996 low_pass_filter = 3.333
+Epoch 0: | | 1969/? [19:28<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 1970; scene = ['a37837d87e1e6ad6', 'a21663cc408933b1', '230f1a4b17cb49cc', '667babf0fad704e2', 'e0bbf0c641a19362', 'e266859a380b328e', '33bf51a57dd21baf', '97d48083a9c554ef', '02ae101d68a2304b', '1ccc8946d683d79c', 'c2d56785690fef5c', '00210fcc783d3fcf', 'bc29873beb100836', 'c0de137715b6bcb4', '29afe36e4ba597f5', '9bae213a2e0667da']; context = [[94, 120], [111, 138], [117, 144], [40, 67], [34, 61], [50, 78], [18, 45], [6, 32], [1, 28], [56, 84], [98, 124], [113, 141], [22, 48], [144, 172], [39, 65], [3, 31]]; loss = 0.031695 low_pass_filter = 3.333
+Epoch 0: | | 1979/? [19:33<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 1980; scene = ['8098a4b5e731a973', '00eb40d5943d736e', 'a9078505733cf9d7', '7a9005af7c4d4d0e', '7603f1cd3ec5dca2', '04c91df50afd1792', '96ce5de416a83b88', 'ed41dd96081cbfd3', 'a913e7af2361fa6f', '5e90ad5c785214d6', 'd53e34588589505c', 'ea4dc2ebdb122af5', 'eccf1570ab9503ff', 'ebe7deb04669edf3', '3b1525a730772be9', '3de1498cc3dc5051']; context = [[7, 33], [6, 32], [13, 39], [39, 65], [34, 60], [14, 41], [9, 36], [1, 29], [9, 36], [41, 69], [39, 65], [19, 47], [4, 30], [2, 30], [22, 50], [28, 54]]; loss = 0.031294 low_pass_filter = 3.333
+Epoch 0: | | 1989/? [19:39<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000, ltrain step 1990; scene = ['0664d28ff022567f', '8b5445c6d9f66465', 'ecd8c42096f0d5c0', 'c2faca71d6805a59', '372f99da54848103', 'de6a28eb6502eb21', 'b86ba5945ecd1fb4', '1d3156ba2c41e96c', '1d5672551ec2e691', 'ce043aeec92138f1', 'fb003d082b1c3ed7', '3d5a6102484db5cc', 'e43e90ff27df512e', '024a1070b701d9a8', 'ead9aabd27eaff8a', 'c93a3485a63a06cc']; context = [[15, 42], [21, 47], [98, 124], [39, 67], [72, 99], [22, 48], [31, 59], [0, 26], [9, 36], [60, 86], [151, 177], [111, 137], [63, 90], [17, 45], [33, 59], [21, 48]]; loss = 0.027365 low_pass_filter = 3.333
+Epoch 0: | | 1999/? [19:45<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 2000; scene = ['41b343385bcd830c', '9c130d0bc34c74bd', '2ae43ea35e770eb7', '9b8fd789ba8b27ca', '7086b238d97bd8cc', '76ef0b2f5bee6d73', 'e18e70c8df6d6592', 'c053559c523e6708', '59d773c1b4f4dfff', 'a90891be6da25ea3', '36efa0302d3d907f', 'c4a3413589327422', '9aaf2fb99119da87', '692abad1fd72e99b', '617a62fe2d1054ce', '47a60f3119c7d7e1']; context = [[73, 99], [8, 35], [59, 85], [196, 222], [82, 109], [9, 36], [38, 66], [22, 48], [228, 254], [2, 29], [35, 63], [2, 28], [7, 35], [2, 29], [149, 176], [27, 54]]; loss = 0.033827 low_pass_filter = 3.333
+Epoch 0: | | 2000/? [19:46<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, lvalidation step 2000; scene = ['73d6f935f31b3fd4']; context = [[3, 30]]
+Epoch 0: | | 2009/? [19:52<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 2010; scene = ['9900d32431eac9e6', '57859a70dfbd78d4', '0296dcc56c7fe3a6', 'a9661ea3b30c456f', '67d8efc474193da2', '9cd867f121e491ae', '1c3e848e9fd120da', 'c66734fadc2a7e5a', 'bb48e2d74b804b95', '6662695dfbebb0f0', '5e041af008e49e96', 'df03ba10b66f2473', '9af973da0db34710', 'f8e1dd1b4d8d2f01', 'b65da7000a104086', 'f45d89e13c989cb5']; context = [[51, 77], [165, 192], [85, 113], [32, 58], [6, 34], [42, 68], [33, 60], [4, 30], [154, 182], [8, 35], [27, 55], [11, 38], [22, 50], [85, 113], [50, 76], [165, 191]]; loss = 0.031284 low_pass_filter = 1.111
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 2019/? [19:58<00:00,  1.68it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 2020; scene = ['ff133f07dd0f56e6', '0bcfc80a4cc34924', '20b6018d5a3cb474', 'fa88f170831e7ec4', '791ee73a5a8b0dea', 'd4e9baf07230d25f', 'f3720bf52932b648', '2880a663fcd65ac8', 'abdf580d488c0193', '177febf140d5e51d', '6dc9af195dcf0f4b', '84e0a57f0cbe34e9', 'eecd754ee0bdbffa', '6025e08ac83ecb9c', '75a2928db20842a9', '9cce8e627c0477c0']; context = [[9, 36], [9, 36], [7, 33], [46, 73], [228, 255], [39, 67], [75, 103], [68, 96], [75, 103], [7, 34], [8, 36], [25, 53], [4, 32], [6, 32], [50, 78], [2, 29]]; loss = 0.030192 low_pass_filter = 1.111
+Epoch 0: | | 2029/? [20:04<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 2030; scene = ['ef0d4dd02797449e', '2800468d7b4c451a', '4109501e6b924539', '87c01e3c7b697584', 'a99dbe2fcb659ead', '90618ff8315f15a0', 'd4f9b7f5a436bc5e', 'c1b5b7779a98027d', '39e8cbb0f678f5e3', '63cedce5caa10d40', 'bf48f07f09565e35', '658d5216501736d5', '864d89232a34ffcd', '5c140178a8c1b76e', '1042daa8f8fd2955', '181157826ea13ab5']; context = [[10, 37], [14, 41], [24, 50], [50, 78], [7, 33], [63, 91], [98, 125], [55, 81], [29, 55], [32, 60], [163, 190], [85, 113], [18, 44], [21, 49], [26, 54], [52, 78]]; loss = 0.029931 low_pass_filter = 1.111
+Epoch 0: | | 2039/? [20:09<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000, ltrain step 2040; scene = ['f1c3beac54c25378', '05c6dc05aaf40f45', 'c537c888e9db11fb', 'b8123f46fa57929d', '39a98cd12e581038', 'ddc9f94d295eec5d', '24bd42501a73c032', 'da034370416efee1', '5ac9002c4bc39722', '2a08fac923c9e50d', '393cdfb7e832d285', '6545c42d1fa5df33', '41c2debbaa89e15f', '0788ca0723d59c2a', 'f344839ca7c971b7', 'd3dddf816450d1d0']; context = [[27, 55], [79, 107], [41, 68], [48, 76], [0, 26], [30, 57], [46, 73], [63, 89], [22, 48], [115, 141], [82, 108], [37, 64], [185, 212], [12, 40], [65, 92], [60, 87]]; loss = 0.026070 low_pass_filter = 1.111
+Epoch 0: | | 2049/? [20:15<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 2050; scene = ['3f869d7524f5cc0c', 'a3ffb95aeb6475c4', 'db7eafb0f55568d7', '00407b3f1bad1493', '85eedea168febda5', 'fb66585f6360b36e', '77c705f41b22de6b', 'da595021fea9f85d', 'd63b1b3960f4811c', '37c4fdc9b9d6c0e6', '264bb76b06bac802', '31c7ca382b4cf406', 'be920b88d4014762', '7df5dfcb4c9f5e24', 'c90f01f360645e27', '140ec322ea5a197f']; context = [[141, 168], [1, 29], [25, 52], [26, 52], [168, 196], [162, 188], [49, 77], [56, 83], [8, 35], [0, 26], [85, 111], [81, 108], [12, 38], [54, 81], [142, 168], [31, 57]]; loss = 0.028085 low_pass_filter = 1.111
+Epoch 0: | | 2059/? [20:21<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 2060; scene = ['a49e993ecd8e1c48', '6c9380078876c6ce', '4666bf577ab773ea', 'dca97964a12df798', 'b04757cf619d9817', 'a485b22b932c2626', 'fc0717ba72e4e99c', 'a57af4a50085aea0', '0452212f8a422ba3', 'b9d4445e5b8179a8', '73133fcc576a07c1', '651c067fde1abb95', '2840317723c97f2e', '30424882cc105c3f', 'fec1b08babd84253', 'e0cd677c6327d758']; context = [[80, 106], [37, 64], [136, 163], [44, 71], [17, 44], [134, 160], [112, 139], [53, 80], [30, 57], [44, 71], [25, 53], [88, 115], [62, 88], [85, 112], [113, 141], [200, 226]]; loss = 0.027588 low_pass_filter = 1.111
+Epoch 0: | | 2069/? [20:27<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 2070; scene = ['478e89781cb7fe3a', 'b4d6d0191d7d437a', 'ffeac84210d82790', 'e38d64be980abb67', '35fb9deb04278d8f', '2b223156f1eec1bc', '0a664feb59d93727', 'acfed28ba4504b41', 'a18dd0c5e3726a71', 'df73d45cbff76aa0', '39927608497beb17', '97dce5c8a9577172', '2ab54ca4d3ad7160', 'f752d201bf11aa7d', '15fca657573e4eee', 'a725bad131d5806d']; context = [[26, 53], [117, 145], [64, 92], [51, 79], [16, 43], [26, 53], [1, 27], [2, 29], [81, 108], [51, 77], [111, 138], [52, 79], [10, 36], [19, 46], [9, 35], [33, 61]]; loss = 0.029422 low_pass_filter = 1.111
+Epoch 0: | | 2079/? [20:33<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 2080; scene = ['343a4e21bc309742', 'e0a88916f5977690', 'ebe21549c614d5e2', 'e7bc763f52f6d941', '7dc497c9d9fc9dbe', 'e5a612f26db49308', 'c73d3bd74c1973fe', 'a1d8ab6deefc971a', 'e52306b4eb8ba419', 'c7fc461db2343d66', 'a2f6b8ce12094172', '9497ed29cc566c99', 'cdec7dff152cc880', '6c624d9684bc26ab', 'af57a1f0c29eaaea', '3e9e187e7dbae1d7']; context = [[30, 56], [2, 28], [15, 42], [3, 31], [25, 51], [29, 56], [14, 40], [10, 36], [3, 31], [0, 26], [5, 32], [24, 51], [95, 121], [222, 250], [6, 33], [2, 29]]; loss = 0.027317 low_pass_filter = 1.111
+Epoch 0: | | 2089/? [20:38<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 2090; scene = ['e6406106735f8b34', '39ee4bf580cf2bbe', '12108a3fd93471fb', '5a1ccf5da976f592', '065d41d6e7cd8ad8', 'f47fb729fe708d84', 'dfc803316b289c97', 'fcada92f8efeceb5', '8d72de31083eba26', 'b94b9c4beda6f0db', '05bd93fee1f2ceaf', '16c8838c274625d4', '7f502417702829cc', 'b8d9b237d3131022', '760e5634a2d20b4f', '7f81444be57714a9']; context = [[62, 88], [2, 28], [36, 64], [42, 68], [71, 97], [32, 60], [40, 67], [35, 63], [126, 152], [21, 49], [11, 37], [28, 55], [106, 133], [150, 177], [7, 34], [48, 74]]; loss = 0.031107 low_pass_filter = 1.111
+Epoch 0: | | 2099/? [20:44<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 2100; scene = ['fb878a1e01f8595e', '5af87f91bbe6d77d', '658b2a4b8ea8636e', 'b380464b16538037', 'a9111dbff01e1e9a', 'c8069c9fcf1ed435', '08be136d928551f3', '31e0177544a4ce6f', 'e2b20b439a33690a', 'a6d3f8823cc684fd', 'a3b40c62a65218d4', '3851f6250f54652e', '595d89f19a588a0b', 'cc5cd38089bc747b', '3d2c4bf5557d6b22', '22858483b5c3a9e6']; context = [[23, 49], [8, 35], [194, 220], [17, 45], [67, 93], [86, 114], [71, 98], [14, 41], [98, 125], [17, 43], [6, 32], [11, 39], [5, 33], [9, 36], [19, 45], [41, 69]]; loss = 0.025993 low_pass_filter = 1.111
+Epoch 0: | | 2109/? [20:50<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000, ltrain step 2110; scene = ['9c479ecb99ab6e1f', '49d0d81ca5d7a50a', '1931d5f8d01cf901', '2cb7980a10ba7dd9', 'a3d1a3c300d2d4c0', '0af95693e0c2a4b3', '8d10bed76bea9ad9', '8b348d32ebb45bb6', '9542770bd8c00ff1', 'dee0cb028cfecd6c', '05739e00a9d4b004', '9a539a8e149d73fe', 'a6f084400351a290', '0c097b18870797b5', 'f8c179a0d6a215d6', 'd9de6afff609db5e']; context = [[29, 56], [59, 87], [85, 112], [14, 42], [25, 51], [14, 40], [38, 65], [39, 66], [165, 193], [44, 71], [74, 100], [62, 89], [236, 262], [28, 55], [90, 116], [95, 123]]; loss = 0.027058 low_pass_filter = 1.111
+Epoch 0: | | 2119/? [20:56<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 2120; scene = ['c03584d560ed0694', '2b85a6b46f2ea8de', 'b7bb7eedb709a1a8', '7b00906aa2c10f8e', 'e72abbc2e978475b', '304b457e50fb1b7f', 'd01a94b42a502c3d', 'f08afff6a1ca5fd4', 'c7b571bbd2dbf81c', '8214bac63893f32b', '85b9d600d972e3ea', '6e86e075bda5414b', '2a69d7ace9e8fbbd', 'a31b01bf6a2685ff', '1471bff70ae3f991', '00f785f232952963']; context = [[62, 89], [15, 43], [32, 59], [49, 77], [13, 39], [119, 146], [54, 82], [30, 57], [7, 33], [27, 55], [34, 60], [1, 28], [115, 142], [2, 28], [16, 42], [79, 107]]; loss = 0.027007 low_pass_filter = 1.111
+Epoch 0: | | 2129/? [21:02<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 2130; scene = ['84f1feea0751caba', '79554d6408c5040c', '158e6e9702195ce9', '58c6906b67417c32', 'b3dac77f7d133d91', 'c2270f17d0068cf8', 'e51815e7a265470e', '62f3272b59ba94b2', '3f12567c1f0af984', 'afbfb11da5517acb', '1e464d7d6edb8441', '18ca128750da291c', '970c8ab96a42388c', '78729dc7fc839286', '3e8b4baa457919c9', 'e01fd52543c3109c']; context = [[129, 155], [53, 79], [6, 33], [17, 45], [212, 239], [16, 42], [15, 41], [219, 246], [157, 184], [21, 49], [58, 86], [96, 124], [61, 89], [8, 34], [0, 26], [39, 66]]; loss = 0.024922 low_pass_filter = 1.111
+Epoch 0: | | 2139/? [21:07<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 2140; scene = ['38147dfcaf667f6b', '29d4c936815664ab', '57a37f6c17fb53bb', 'e60298a9c1439103', '2df2d7c7a4f05e97', '47081479d4cd912f', 'bec261161db4a238', '0279ce58d78444e9', '1706922b35a131c1', '5ff49d7da5abf152', '7e3f87e5affd253f', '298229a37fabd908', '5b4327f91da2fa34', 'fac49f6dbe07e555', 'b3aed3d4024f2045', 'c244bbdea2dd8768']; context = [[24, 51], [2, 28], [63, 91], [25, 53], [0, 27], [95, 121], [0, 26], [9, 37], [60, 87], [47, 74], [62, 89], [5, 32], [42, 70], [26, 52], [114, 141], [36, 62]]; loss = 0.023891 low_pass_filter = 1.111
+Epoch 0: | | 2149/? [21:13<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 2150; scene = ['3b1f9bdde0850925', '39a2d85b6232fee7', 'd4fc984a9a2dc78b', '15c0e084366a0311', '39f88cbb30ad5e3f', 'd8adc0566d6281a7', '11f155931a109e15', 'b5ab1fc1af5f5665', '71da350128beda8e', '1fc2e3e8d1a09b12', 'afd1b26a7b3f5833', 'aa70400f2fc7e975', '1e8715fa89b98696', 'b051aa05d9cc987c', '837e0e5f18d3ba68', '3e9d04e3d7dda317']; context = [[72, 98], [10, 36], [107, 134], [36, 62], [114, 140], [252, 278], [212, 240], [248, 275], [16, 43], [112, 138], [18, 44], [57, 85], [19, 46], [43, 71], [56, 82], [10, 38]]; loss = 0.029892 low_pass_filter = 1.111
+Epoch 0: | | 2159/? [21:19<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 2160; scene = ['be4f932aa33e62ae', 'bd599705af721fcd', 'f0865a583ba09c2b', '53dfe7d8827bc01e', '37fa83ae48cd9ab4', '01f717e1a0b3df40', '84ba6ebd8b79f00d', '665024ea83a665d4', '018c2471932140c2', '112c466868043022', '2ac6446d0ddf813c', 'e4b0cf444f483eef', 'bdfe47d84d96f14e', '9efdc1e256416028', '2c76592b3759673e', '270c92beac8cc380']; context = [[2, 28], [142, 169], [47, 74], [66, 93], [60, 86], [4, 32], [49, 75], [7, 33], [67, 94], [202, 228], [1, 28], [134, 160], [38, 66], [135, 163], [28, 54], [27, 55]]; loss = 0.027814 low_pass_filter = 1.111
+Epoch 0: | | 2169/? [21:25<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 2170; scene = ['e90aaffa44f24d62', '6dfa54a298bd9f1a', '3948c903131133bb', '1b5aebb31dd24255', 'd09259776759df85', 'f76db35ccf517018', '59de2764607e1b8f', '6f6b3630c1daf8bc', '853afb68eecbe04d', '1d08d09515970972', '0ca219e558a9ced6', 'd7272df49cd52b8c', 'abffceaf0098faa8', 'db085f4da5bb3a11', '77d9893ba17a1330', '71d24f4e70b1596e']; context = [[52, 79], [246, 273], [48, 75], [4, 32], [25, 51], [2, 30], [29, 56], [21, 47], [118, 145], [15, 42], [72, 99], [2, 29], [14, 41], [17, 44], [80, 106], [243, 271]]; loss = 0.023644 low_pass_filter = 1.111
+Epoch 0: | | 2179/? [21:30<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000, ltrain step 2180; scene = ['8331d9c0babb8c1b', 'f248e7fc45f1d3f6', '220a754928cf7f7d', '6a1ef1f0ddb90525', '275f7bcab3604f2a', '556ce3a3902f4695', '14456e50bb058688', '1de0bd69f911ee70', '3aa4b919796c8489', '82b3cd7d732bb3a1', '7145f0cd808fb217', '3613fe0e8890ef26', '39ef35a4a47926da', 'ec8b485c95a10ee8', '6dc5657f790a7afe', 'b1d41b0a47dc80f1']; context = [[56, 82], [86, 112], [23, 49], [0, 28], [90, 118], [17, 43], [35, 62], [53, 79], [72, 100], [130, 156], [128, 154], [98, 126], [70, 98], [39, 65], [0, 26], [24, 51]]; loss = 0.028929 low_pass_filter = 1.111
+Epoch 0: | | 2189/? [21:36<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 2190; scene = ['4733062e2c9faded', '0abad9c3a40f487c', '74b1d83dd67034be', 'ec3000b33e02444a', '66bef075252e50c5', '086be0c3a57db507', '41a5f2ec0c95a471', 'f42a1015b25ea6c0', '6c01bd2b6378b08a', '91243c39eff2dab2', '10f25476c98b437c', '1035b4b674d055e5', 'dec79f9feb754ed8', '1817737ac6b18f45', '3054148d742d2b85', '400c9321b83de62a']; context = [[108, 134], [154, 180], [0, 28], [142, 169], [7, 34], [56, 84], [3, 29], [16, 44], [15, 42], [29, 57], [89, 116], [59, 86], [5, 33], [47, 75], [207, 235], [5, 31]]; loss = 0.025225 low_pass_filter = 1.111
+Epoch 0: | | 2199/? [21:42<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 2200; scene = ['c2e29d5707c809d6', 'a4978d1996610c90', 'd532d494f7050bcb', 'def54ce161678aed', '59133f255b9d7921', '9a4703f139e789c3', '67ca4858a6da9498', 'd74a2abccfea3d36', '8fed29af74002491', 'd9dce3382830aea6', '62ff792e124c30c3', '4d3d2461e84578f6', 'a7a79393e5bb8108', '2dc9c96992a50777', '6cee8362ee57a4c7', '6cfc76b16e72752a']; context = [[109, 136], [237, 264], [69, 96], [37, 64], [13, 41], [32, 58], [65, 93], [27, 54], [82, 109], [22, 49], [5, 33], [107, 135], [86, 113], [43, 71], [115, 142], [4, 31]]; loss = 0.029875 low_pass_filter = 1.111
+Epoch 0: | | 2209/? [21:48<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000, ltrain step 2210; scene = ['e452811140e730af', 'ddc351e8ca2cd299', '94c8f1c6ee33001c', '3a73283d439e25cc', '6e115d699fe7cf97', '49c8a74b74ea2ad6', '462236c56412e890', '691b75dfc39113c0', '4c93d77212ccf515', 'a95b5cdb5c860149', 'ec965b86f34bd052', '7566ea2bedd7e775', '1acf15bfc12d2a27', '431557cf5a0bc85d', '7dcd7e5fcc21f57f', '146aefd841b02106']; context = [[12, 40], [137, 163], [6, 32], [88, 115], [22, 50], [64, 91], [31, 59], [44, 71], [3, 30], [121, 148], [87, 115], [34, 62], [82, 110], [42, 68], [86, 114], [13, 39]]; loss = 0.031476 low_pass_filter = 1.111
+Epoch 0: | | 2219/? [21:54<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 2220; scene = ['1bb6c9f319cd474f', 'cee058b0da530229', '0b8169e51ba31c92', '4dc1674146d1feb4', 'aff84ce3f9bcc647', '7b6faaa7ddad5853', 'fdcc00c4d8310e3a', '65161bf7ed37ed8f', '747b26dc66737aab', '4a119e4fdc155f25', '0f1e75b6891c6dde', '16ba79e95f3f36fb', 'f84a8896b1ba14b8', '4646bbb28f1eae0e', '0e877f29a64985f6', 'dac3810c49d3ab7b']; context = [[21, 47], [39, 67], [26, 54], [35, 63], [1, 27], [91, 117], [207, 234], [55, 81], [83, 109], [130, 156], [1, 27], [1, 29], [15, 42], [71, 97], [15, 43], [145, 173]]; loss = 0.026716 low_pass_filter = 1.111
+Epoch 0: | | 2229/? [21:59<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 2230; scene = ['0a1c6a4cd53b9fff', '1a27a41d548cb8d5', '9525a072309439fa', 'e6927e3ec3898166', '24666b018cafaaa9', '6e2a3910091fd84f', '9e912cd1f7d18579', '2a2885f3acb57e98', '5ca14f8bed0743cb', 'd0ca50187d5095ec', '14267b4877f2bba2', 'a983f9bbf8f45e19', 'd77ffc6a0bc1b514', '034a57b1ea3c8ca9', '349738c773f1af23', 'c5197c6f18fcfab7']; context = [[6, 34], [38, 64], [85, 111], [36, 63], [14, 42], [157, 183], [36, 64], [136, 162], [21, 49], [80, 108], [54, 82], [231, 257], [16, 43], [91, 117], [68, 96], [181, 208]]; loss = 0.023143 low_pass_filter = 1.111
+Epoch 0: | | 2239/? [22:05<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 2240; scene = ['cf88375b1e6b8486', '0ad0740248869c93', '860cb96a18812b20', '75cee01915619dcc', '09552acd6a728358', '84288b2881d0d257', '90c7c8da460d37cf', '55bf4e702787a6cb', '47d5c52893beea42', 'af8966ce60331634', '54ef0de0d7f14ad0', '0e36759e631b3a7d', '369dfe5f8711b6f0', '1d99b75a8f309f01', 'a03536509e83e665', 'f9f371c1f9451052']; context = [[71, 98], [15, 42], [15, 42], [25, 51], [60, 88], [50, 76], [1, 27], [160, 186], [96, 124], [0, 26], [3, 30], [82, 108], [173, 200], [24, 50], [154, 181], [246, 273]]; loss = 0.029104 low_pass_filter = 1.111
+Epoch 0: | | 2249/? [22:11<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 2250; scene = ['18b5dfe0eaf3513b', '9dece217c9bfe277', '886fa556f9640a63', '983ed363d48f5088', '891e6d7d39f1be97', '8998f29ac7883059', 'e4204c923eb68534', '9a21fdca2777d0cf', '0e7a94867925f87f', 'e03c32cada8f8685', '9f044d2c0f9f66b5', '12590c946a642acd', '8a803ac9260584d9', '5c13b85999c1fa5c', 'c7b3410412698cfe', 'deb947f542d0bc43']; context = [[241, 268], [104, 130], [155, 181], [180, 206], [5, 31], [3, 30], [107, 135], [64, 90], [9, 35], [11, 38], [70, 98], [8, 34], [7, 33], [33, 60], [1, 27], [46, 72]]; loss = 0.029866 low_pass_filter = 1.111
+Epoch 0: | | 2259/? [22:17<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 2260; scene = ['fc44ec58e01708cd', '8751b1164824cffc', '3a8f60d224cb68aa', '0ff852b74d9a7557', 'cdb0d98b47396f65', '459690a341c549db', 'c2dc42562c814eee', 'e2aaaef9c0310d0d', 'b5bcbf6a8f08edd1', '8fd9640fea8cf3c3', '87de365387d61409', '223a5d0e61cb7f89', '3156073334262295', 'b8919377ab8f5552', '87a853feaf9f6aed', '6c977851c159a936']; context = [[103, 129], [167, 194], [8, 36], [130, 158], [37, 65], [199, 225], [68, 95], [145, 173], [148, 176], [25, 52], [17, 43], [44, 70], [99, 127], [11, 37], [36, 63], [3, 30]]; loss = 0.026992 low_pass_filter = 1.111
+Epoch 0: | | 2269/? [22:23<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000, ltrain step 2270; scene = ['2fd9f35c8ac11f0e', 'a3302f8344181353', 'e46908b32babe163', 'f80b01e1b3d6aef6', 'd1e1437df8235681', 'e423eafb08231cab', 'd994b54d0c38f6a5', 'c995ce06eef54732', '81bb3be1a42ecfac', 'beb77dca75f90444', 'b737264f3104f28a', '269f2f8dd0b8dc28', '65d07fcdfb062070', 'ba856f9451354f41', 'bdcac8b99ca28946', '10ec4d16f705a260']; context = [[30, 58], [74, 102], [52, 79], [47, 74], [51, 79], [31, 59], [30, 57], [41, 68], [53, 81], [46, 74], [43, 71], [4, 31], [73, 101], [52, 78], [30, 57], [54, 82]]; loss = 0.028195 low_pass_filter = 1.111
+Epoch 0: | | 2279/? [22:29<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 2280; scene = ['4d0d26a83b1768dd', '453102f725872642', 'a47203cfd5e0a478', 'f98d6c32648cdc8b', '393e7c167eb55e34', '0a9e82926ed00bec', '55e24e20d3c00382', '7b6731292a087e9a', '4486fd0a58b1b39b', '23ec4735aa0a67bc', 'f8b4c73e8050c659', 'd8a2cf8b506f71c7', '71bb80ab49a07c24', 'd59c00fd440ac6c5', 'ae9f87b6c5c2c5de', 'baa0a61d22b9e051']; context = [[52, 80], [17, 43], [30, 57], [34, 60], [212, 240], [7, 35], [14, 42], [117, 145], [70, 96], [164, 190], [7, 33], [34, 60], [229, 255], [146, 173], [60, 86], [11, 37]]; loss = 0.027490 low_pass_filter = 1.111
+Epoch 0: | | 2289/? [22:34<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 2290; scene = ['1aea90446759f7d8', '11ede909d25ca333', 'aefe7fe6eefd9ce9', 'd1c0d7a48baa147e', '17e3d4b53cae3c08', 'ed8c7a2f116410b0', 'e8e48c278d3f4624', 'e04842c075de81a7', '19f01733933b6613', 'd9c63fba53fa07e3', 'b1fca0dbc9766057', 'd3d5b66051e3c68d', 'ec28820800ede2c5', 'eaa856546c0b26c1', 'ddd301ed1123faa8', '250a8529f9e40503']; context = [[165, 191], [16, 43], [46, 74], [12, 38], [17, 44], [24, 52], [99, 126], [7, 33], [81, 107], [0, 28], [93, 121], [8, 34], [36, 63], [37, 63], [6, 32], [3, 29]]; loss = 0.027481 low_pass_filter = 1.111
+Epoch 0: | | 2299/? [22:40<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 2300; scene = ['86e922e5d4069d1e', 'a7d424b37900c8fd', '83da83241d5d812d', '5f8c4fdda0cf8f5f', 'b5d6c77bcf7cdf5e', 'e6bd49192ab21f5d', 'd78279228e96c9ff', '789bc3d0827b3458', '09a6ab6ebfa53654', '9b72c44a6343236a', 'abb64631476a51f6', '25aca069a7b5ad8c', 'caec71abd1d65864', '3f40a05deb57517b', '4a609368e3b1a0e2', '655c545268708bf3']; context = [[48, 75], [242, 270], [1, 29], [77, 105], [219, 246], [25, 53], [229, 257], [31, 58], [52, 79], [5, 33], [99, 125], [17, 45], [6, 32], [71, 98], [28, 55], [23, 50]]; loss = 0.030248 low_pass_filter = 1.111
+Epoch 0: | | 2309/? [22:46<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 2310; scene = ['0511be7085235229', '18eecb32a75b6aed', '9ffe1fc23d69426f', 'f0c98d9d2b7f6b25', 'eb9e48a39e18f88c', '29c5fa6a83baac7b', 'b45bb780dbfc0268', '6bcc23e1031228e1', 'c8198e376ce5fe21', '093573b7f8c5a9c7', '102be2e005584ebe', 'bc0dc36346da20b0', '72d827d8b9fb16d7', 'f4ba1460268eac35', '5e39a2c628afc961', 'dd4746055f52e4e7']; context = [[48, 74], [1, 29], [76, 102], [2, 30], [11, 37], [45, 73], [70, 98], [9, 37], [77, 105], [23, 51], [41, 69], [42, 68], [3, 31], [12, 40], [32, 60], [34, 62]]; loss = 0.028812 low_pass_filter = 1.111
+Epoch 0: | | 2319/? [22:52<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 2320; scene = ['daa2fe679b1fe2a8', '35fb934b6f5d7250', '334f9f98429d2b46', '6a5d174f02a79995', 'c24a8b6d5124b2b4', 'd44cfdddecdcbcf5', '05b5752d615deeb7', 'c218bbad1da54262', 'd7b29df60c4100dc', 'a6d66c0213f5e1e6', '14be022bf2f7701f', 'd77ce6c24f2ac051', '3b8785bae23cbdb8', '9c8c945c02d7bfce', '77e8495e8c522bca', 'f60f5ea9b6487369']; context = [[13, 40], [51, 77], [49, 76], [11, 37], [26, 54], [36, 63], [27, 55], [7, 33], [66, 93], [110, 137], [3, 29], [64, 90], [3, 31], [123, 151], [107, 133], [158, 186]]; loss = 0.028536 low_pass_filter = 1.111
+Epoch 0: | | 2329/? [22:58<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 2330; scene = ['130eca6f6e106392', '42edbc89b87f5bce', '8f6331be5008a615', '351c9c82f8446846', '744b028cb6b33b5b', '9894b187d115c065', '219e257b654adcd3', '478e07af7840c08a', 'e2ac2325c4957d8f', '186605eea1a41f21', 'ca19843dcf89d83b', '66de8729fe760dd8', '818a3347a8e4afdd', 'a212e7b4ef90cba7', '7ab3467d71486fcf', '1a912617a1d3a00b']; context = [[89, 115], [14, 40], [18, 46], [107, 134], [29, 55], [40, 66], [39, 67], [7, 35], [17, 44], [131, 157], [24, 52], [74, 100], [54, 80], [42, 69], [48, 75], [30, 58]]; loss = 0.031953 low_pass_filter = 1.111
+Epoch 0: | | 2339/? [23:03<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 2340; scene = ['8be3a9f4149545b6', '96511adf959795aa', 'f0dede73d7704d1f', 'b215bd4e6fb3908e', '543da4cef5a596fd', 'f0dbc908f65693ae', '00703cbf7531ef11', 'd90d5e7978792a54', '02e30c4cf8156c01', '9b74cdaf0866eede', 'e2fe2ac70897e69e', '2d7243929156069e', 'c0580f743d41ee56', 'fa1c6dfa9c92a263', '01c143c81a4d2145', '8912e1cff2c4c8b0']; context = [[7, 33], [106, 133], [52, 80], [109, 136], [10, 38], [79, 106], [62, 89], [79, 105], [1, 29], [3, 31], [135, 162], [108, 135], [12, 40], [10, 37], [28, 54], [90, 116]]; loss = 0.026997 low_pass_filter = 1.111
+Epoch 0: | | 2349/? [23:09<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 2350; scene = ['d9813b8d0537a82e', '4880338684f04010', '1bb273edf1201743', 'd751cbf65f8a1ff1', '6e7b580f6d0dc690', '761eb006311b0e01', '94aa49ed217160d2', 'f400159b3dd78ef1', '960176f87cb28bcd', '0c0914577ebe7288', '305f1ab2490a9a1d', '4188d18d531e631d', '3c98d600041d2bcc', 'c9a73532f0cc200e', '5b3ebcc7978db790', '97f73b3de5c78cc3']; context = [[0, 29], [47, 74], [60, 86], [79, 107], [181, 209], [19, 48], [18, 46], [215, 241], [59, 86], [32, 58], [1, 30], [153, 180], [0, 27], [156, 182], [5, 33], [81, 110]]; loss = 0.023098 low_pass_filter = 1.111
+Epoch 0: | | 2359/? [23:15<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000, ltrain step 2360; scene = ['88afcc4cc17ad62c', '967cf97a932fa507', '84af5a6dc02a4fc5', 'f0faea75c39058fa', 'e005cdd5b468ccc9', 'fdf5c68e52d40e62', 'd1ebd5d89e694609', '9b417f4a07fa1404', 'f0e75cde2232224a', '0a0759a2dff47613', '54f4ae9238e5d273', '1b92ff53549440e5', '159b1908406ca716', '84775696a780d940', '96bfdf4e989399f5', '293ae3a90e34ba37']; context = [[8, 37], [11, 37], [5, 33], [55, 83], [15, 42], [1, 27], [95, 122], [81, 107], [11, 37], [33, 62], [18, 45], [42, 69], [11, 39], [20, 48], [9, 36], [98, 124]]; loss = 0.027526 low_pass_filter = 1.111
+Epoch 0: | | 2369/? [23:21<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 2370; scene = ['dc0c9d0997f82183', '3bd99b35d4566e6d', 'c9690d54fb593e04', '7fc05882bd1f775b', 'ff2008cd674a7df5', '3d0c6eacfc39aafa', '6a5ba78f4d0bc69c', 'ef84137ab9a199c7', 'e0993a60d803bd40', '4538a4e738f84589', '3fbb0670a23bf050', '5917b96d69b60795', 'd946391d7812c84c', 'bb09fe710c29a6f1', 'cea7f0f676df3c07', 'cb4d635a85911b86']; context = [[225, 252], [3, 30], [38, 64], [86, 115], [2, 28], [78, 106], [55, 81], [28, 54], [21, 50], [39, 66], [235, 261], [64, 91], [32, 61], [56, 83], [120, 148], [5, 34]]; loss = 0.028120 low_pass_filter = 1.111
+Epoch 0: | | 2379/? [23:26<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 2380; scene = ['55f1b82ae9c5571f', '8e9f01760ce55500', '5f8f8bae3e8c4a23', '8c8730be5c873d5d', '4adb784a75523d30', '575bb0dab86f4997', '7f19608dbd224ae1', '69aa625f9673c808', 'e8cb8f24c2fa8a45', 'bd439bb9d45c1125', '107282574d3d3d81', 'a0cd28a901a7589a', '9c3cedeaa32f5a18', '4747dd13c4f84996', '005ee91e6c694114', 'a0944ee913e7b7a5']; context = [[105, 131], [25, 51], [24, 50], [13, 39], [90, 118], [11, 39], [19, 46], [45, 73], [55, 83], [99, 128], [16, 45], [70, 96], [116, 145], [30, 56], [89, 115], [58, 84]]; loss = 0.027874 low_pass_filter = 1.111
+Epoch 0: | | 2389/? [23:32<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 2390; scene = ['2c6c9bef73d70f57', 'afd73a23aaeed5ce', 'c7893e642cb8fd85', '50e6c4ec143903bb', '54f437c95d89a7e8', 'b53dacad44c35ce1', '97be39180cf3419b', '31b89c53160b4f2f', '8739c0c356470d1f', '41e45fb36a6f26cd', '878900a19170087e', 'b98f8d6397991a0a', '15eb30d0189f08e7', 'c3397e5ad7b9a1ea', 'c189d9c69d668ae3', '83cad5d80041582a']; context = [[89, 115], [82, 111], [41, 67], [6, 34], [84, 111], [4, 32], [68, 94], [134, 161], [41, 70], [173, 202], [45, 74], [11, 37], [1, 28], [14, 41], [13, 42], [18, 45]]; loss = 0.033505 low_pass_filter = 1.111
+Epoch 0: | | 2399/? [23:38<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 2400; scene = ['b43fe5b3c1607b89', '75f5325d53419390', '3bffe8695f641222', '9cd16d2f769cf63e', '63405472850ce417', '9318f2dc9cb8a203', 'a8b5ced332106f6e', '453f503f3d6e33a7', '317ba8e0b5413a83', '9e94b1a8e473c513', 'da09baba072e5aaf', '0e9763c2e321d50a', 'df17465173ff113c', '1f4a515822cf8fff', 'd8af4b4bd916921c', 'd9462b4c7fc5a88d']; context = [[4, 31], [44, 73], [108, 134], [1, 27], [250, 277], [28, 55], [48, 77], [3, 32], [6, 33], [16, 44], [8, 36], [34, 60], [39, 68], [1, 28], [7, 36], [61, 88]]; loss = 0.024048 low_pass_filter = 1.111
+Epoch 0: | | 2409/? [23:44<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 2410; scene = ['51a2dbc47a4fb524', 'b561cfe3827fe605', '3e9346b65dc684e4', '7a6bda7be9ddd883', '3f2add62a0b1d691', '1665c14b021957de', '25c3ed412bb25315', 'a4f016cebe459279', '83ac3cb620e43578', '13668a644a9d78c2', 'e60e765e62130960', 'ec69ce38f103630c', '6a754bfbd0e02830', '26bd2f3807377c77', 'c43bdb6be580b5e1', 'fa46d2e31ca6700f']; context = [[36, 62], [120, 147], [100, 128], [1, 30], [11, 40], [18, 46], [44, 73], [15, 43], [37, 66], [1, 27], [142, 170], [16, 45], [45, 74], [61, 90], [38, 67], [2, 31]]; loss = 0.028623 low_pass_filter = 1.111
+Epoch 0: | | 2419/? [23:50<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 2420; scene = ['a350e40c8e303736', 'fbc0f1f919e37f6f', '629db9198cf5f346', 'af0c910f1fcfac26', '3ea09d38127a3975', 'f3db43d03174c1e0', '1b52746e12c3a649', 'a9bddee6b5508f7f', '35d38555a3bad2d6', 'f46ab77b51367dad', '4e7f5c62bb1d90b6', '386d858945eb1e3b', '87b4113d1fb5fadc', 'be93db481f19ff62', '4c3f441c94d63954', '0d9b2d55b1a56943']; context = [[96, 124], [155, 182], [9, 38], [68, 96], [20, 47], [7, 33], [31, 58], [50, 79], [87, 113], [92, 119], [129, 155], [58, 84], [46, 74], [102, 130], [8, 34], [93, 119]]; loss = 0.030037 low_pass_filter = 1.111
+Epoch 0: | | 2429/? [23:56<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 2430; scene = ['fac20ccda46a7de9', '4cbfaa52325775ab', 'f798bf110e50ae05', 'fbf1d3c5991263b5', '71d8d0a848667302', 'b0189789fe6bc9c2', '35158f6e65bf766d', 'd88fa63cc32b7683', '331ef24c06150099', 'f545152700b96263', 'bf8ad1259257dc45', '6c0ef012029b30f2', 'c2c61e3082375bd8', 'aae62c9143d59bf0', '32dc706b5277e8a4', '0edd08d42e5a2f9f']; context = [[99, 126], [70, 99], [125, 154], [37, 64], [4, 32], [42, 68], [64, 92], [44, 72], [152, 181], [0, 29], [34, 60], [11, 39], [51, 77], [235, 262], [5, 34], [168, 195]]; loss = 0.026570 low_pass_filter = 1.111
+Epoch 0: | | 2439/? [24:01<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 2440; scene = ['a00596889eff80ec', 'f0680c43c5c34858', '28da1359e6e9937d', 'ec9f85b999210b88', 'dfe5b50169b728c0', '525c642c5a79c4ee', '319fb20c1a5fe820', '78b54fa5b5742181', 'fedfc1765aa6ac6b', 'd4450052d60e5f31', 'c05818414f7e530b', '0fd0ead3c363584e', '879313d352b43a95', '54d0782c7dcdfe61', '32fc4d38acbd93b7', '5d68ede0f829a545']; context = [[57, 83], [7, 36], [61, 89], [183, 210], [3, 29], [27, 54], [40, 68], [77, 103], [24, 50], [17, 43], [65, 93], [63, 91], [7, 36], [28, 56], [0, 26], [39, 66]]; loss = 0.025980 low_pass_filter = 1.111
+Epoch 0: | | 2449/? [24:07<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000, ltrain step 2450; scene = ['9d1ee413421f219b', '6847ec57bb326a47', '6447ab4ccf80feae', 'cff7c5b3868704cd', '6d4e40bc2b18c6fe', 'acbaf3928100486d', 'e640fb1aab7928a5', '9d763d2754c2a6a0', '9d1e29a2a121db05', '475c9199d21642b7', 'b69e2c1eeb987ec3', '55beb1567126410a', 'f2acfbea86f8c413', '21eea9d3442cbdec', '0cd8897b8a77eddb', '32d09e777fe79723']; context = [[31, 60], [104, 133], [132, 159], [152, 179], [33, 61], [3, 32], [35, 62], [210, 237], [249, 277], [242, 268], [67, 94], [78, 106], [72, 101], [110, 137], [51, 79], [77, 104]]; loss = 0.023043 low_pass_filter = 1.111
+Epoch 0: | | 2459/? [24:13<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, ltrain step 2460; scene = ['902c1c83e18a1ce0', '45404925d497bd85', '2f28b83c3bcb1394', '280b130eabfc284c', '1c7f6e9252a56933', 'd297538f14da1f52', 'c1f569cc8340fdcd', 'f4e169b7394250b0', 'ccd70d500f2e2bc9', '8719fa7d74daa634', 'e6ec55219ebe382e', '99e513749f0aa3df', '0da1ec5684bb7324', '8024a13b551c34cc', 'a8a2445b40f0ee30', 'c83fa4955ce845b6']; context = [[51, 80], [67, 93], [2, 28], [3, 31], [5, 31], [239, 268], [1, 28], [247, 273], [56, 82], [68, 97], [28, 55], [5, 32], [37, 65], [36, 65], [38, 64], [158, 184]]; loss = 0.025937 low_pass_filter = 1.111
+Epoch 0: | | 2469/? [24:19<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000, ltrain step 2470; scene = ['e7f549ceccf3bed6', '7e717082bedd01e8', 'e83e3c6a186d4b14', '36b358d18663a114', '4d99f9c1332d1442', '038723be25e892b7', '62e9e5716c3ac2f6', 'c1da5a122e3a6486', '4fe12b24324c7c47', '506c7067b8d54db9', '7e4fa483bbb17c5b', '668193bde2b21db4', '4f2bfe280d413022', 'd10e440ff0a99a23', '7d1d3e8e7a8d1910', '61ba0d41e39ca681']; context = [[29, 57], [58, 87], [12, 41], [196, 224], [92, 120], [23, 51], [0, 28], [2, 30], [76, 102], [10, 39], [99, 128], [66, 95], [77, 106], [109, 136], [14, 43], [72, 100]]; loss = 0.026778 low_pass_filter = 1.111
+Epoch 0: | | 2479/? [24:25<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 2480; scene = ['417e0336e9db3eb8', '15aad52d11a26f25', '29d6603c1a41ef45', '1db629688010819a', 'abf5fcf8652aeb3c', '0bd7d1356643cb9e', '4d73afcba9cefc99', '78c4c1ec818e5a56', '335068a6ec7f576e', '062fa8871944a658', 'b97d8378949ed0b7', '9266579d30f7b588', 'a298b940467fa76f', '9f99a95604c4986f', 'eedc455e3dcad2e8', '38366abfb0f92890']; context = [[47, 75], [16, 42], [35, 62], [24, 53], [13, 41], [39, 65], [52, 80], [50, 76], [39, 68], [14, 41], [44, 71], [236, 265], [18, 46], [167, 196], [14, 43], [2, 30]]; loss = 0.028204 low_pass_filter = 1.111
+Epoch 0: | | 2489/? [24:30<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 2490; scene = ['871fef035e6b93dd', '1894f05fbefb5abe', '5d30b873b1035b91', 'c987b733564bd36a', '39ce17d592aa08ff', 'c1785398ae044ecc', '92a43963f8d1dc2a', '37270249573b5fef', '4baf148b0e465154', '79eaf9a487c5de91', '3301c6c4f8324fb7', '48dd32a0f4a2367b', 'd90f68bab916e8a0', '010fb4b5e0e37c71', '890e507d5a12b8a8', 'fe3e8063136b92e1']; context = [[57, 86], [42, 70], [1, 29], [22, 48], [105, 133], [35, 62], [4, 32], [40, 68], [32, 58], [75, 104], [62, 88], [69, 95], [81, 108], [41, 68], [13, 39], [168, 194]]; loss = 0.027956 low_pass_filter = 1.111
+Epoch 0: | | 2499/? [24:36<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 2500; scene = ['1f08e4fbc4bebedf', '86af7cd006b63f11', 'd7ca8401b3a2387b', 'f1c70b01433e528f', '02ae95aab1b4932e', '80b04e7c5d21facf', '628d53c4fa7f75e6', 'f9357b87fc3e1578', 'adb7e9569b2d54e8', '3dfdc1b6c7b658e3', '5b3422e1ad0e3f86', '0b3f191324b209a5', 'e62120d353663d7b', '694b55576cadcfc0', '7d1fec00044efc66', '1a41eb1e3be69b00']; context = [[0, 27], [53, 79], [1, 30], [8, 35], [56, 84], [53, 81], [86, 112], [101, 130], [0, 28], [75, 101], [87, 115], [163, 191], [0, 28], [53, 82], [13, 39], [2, 29]]; loss = 0.028768 low_pass_filter = 1.111
+Epoch 0: | | 2509/? [24:42<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 2510; scene = ['e3ba7f1df93744a7', '6d952c7bf6673b7a', '70a833fc4f7bfcf4', 'bd624da49f0d72a5', 'efd2e6e6ed5904ae', '125b8d9c4d67f6c5', '7436df852025cdda', 'e8153057d8273032', 'e3bf238bbde4f6fc', '14e5c1a9d0604d37', '891803d5398b2265', '2544ca0eb789f211', '7a6869cb55388541', 'f8a2fd8db81f71b2', '7738cc583bce642d', '1e75265d74b6b717']; context = [[108, 136], [58, 87], [66, 95], [242, 268], [92, 119], [48, 76], [78, 107], [41, 69], [58, 87], [58, 84], [29, 57], [121, 147], [41, 70], [28, 56], [85, 113], [95, 121]]; loss = 0.027324 low_pass_filter = 1.111
+Epoch 0: | | 2519/? [24:48<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000, ltrain step 2520; scene = ['aa293d98738dc39f', '148f2198e13d1b6e', 'd4eb98b2850556d3', 'cf0cdd221b631e08', 'ffa8446bde2a768b', 'f01d231329f4844a', '2aa058b8233968d1', '3a3b58cdca3b3b32', '66d961b1e63c7414', '2633b15c450d8a36', 'e5c47b626f9a7fa4', '69cc85f49345c36d', '2e7b1fd104af6591', '165eaaa2a7b5c11f', '674835273a35cbdf', 'd792c4d9f1feeda6']; context = [[22, 49], [61, 90], [21, 49], [215, 241], [85, 112], [49, 78], [107, 136], [50, 79], [19, 46], [20, 49], [14, 41], [36, 65], [5, 34], [45, 74], [55, 83], [0, 27]]; loss = 0.026348 low_pass_filter = 1.111
+Epoch 0: | | 2529/? [24:54<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 2530; scene = ['43715c109fe873c0', '84e4a70283bc8836', 'a68582f952f8176f', 'a21fe9049dd4f031', '210097cafe1197e5', '23a912484f1d03b7', '627d8b1a65c08482', '9e409d0392d4f763', 'e4f49bede305510e', '3d1b5179f6509fee', '8842ecc795060164', '810f5259de1dcd97', '2925cbf7ba6f1d8f', '4d0c3fee830fa3b8', '67d2487d7b4bde8a', '387b69e395b27574']; context = [[55, 82], [71, 99], [10, 39], [22, 48], [29, 57], [37, 63], [162, 188], [139, 168], [90, 117], [1, 28], [3, 31], [5, 32], [24, 52], [187, 214], [29, 58], [101, 129]]; loss = 0.029249 low_pass_filter = 1.111
+Epoch 0: | | 2539/? [24:59<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 2540; scene = ['3e26a7ae81ed795d', '0ef454385d221501', '7d4c6af5e7dd0a7c', '2942cefcb7358cce', '5118b43a3f332d06', 'ccb4fb4ff1862f97', 'a35fcfd5ca571296', 'e2b10586530728fd', '4aa75a27462c5bcf', 'c50585b25ebfe2ba', '392eab2c84c17409', '1a3774eec69dbf4c', 'd6ac297a4d15b7b0', 'd0d25dda60a6048b', '14b72a12818f15cb', 'afd1f0b4fba0c645']; context = [[1, 30], [3, 29], [0, 26], [84, 111], [22, 49], [61, 89], [68, 96], [17, 46], [5, 33], [18, 44], [33, 62], [89, 115], [29, 55], [67, 95], [44, 71], [165, 191]]; loss = 0.026990 low_pass_filter = 1.111
+Epoch 0: | | 2549/? [25:05<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 2550; scene = ['eaeadebc96d33431', '186b1e7d8bc86601', '30da666be764ae4b', '6c43ed1aba1cf46d', 'bed31d8c359085c9', '4969bcb3550c0172', '6bcce32993a13c68', '059cd20b64598054', '757dc09596c4872c', 'e20f3440223cbde1', '82ba678c941b6578', 'ddc11c891f471dd0', 'c3d6a82b60bdfc35', '5649070bc0083d83', '12e85fb6e140ee85', '837a853e726c6ad2']; context = [[34, 62], [67, 93], [1, 28], [16, 42], [128, 154], [68, 96], [21, 47], [0, 27], [6, 32], [154, 180], [89, 116], [131, 159], [13, 41], [0, 26], [65, 91], [27, 55]]; loss = 0.029362 low_pass_filter = 1.111
+Epoch 0: | | 2559/? [25:11<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 2560; scene = ['96cb3db75422f95b', '0fa74425b75be77d', '45ce373b035b8fd8', '260daae5c4e5ef5a', 'c4b188678255126c', 'c37b454f5da63294', '1bccb21ba03d97ee', '7982de92dc8af2ae', 'e0080506fa76c083', 'a544201857eb90d9', '2fe6276cc1839419', '34c71b535c38bb77', '5b3b21b947b6ac98', '5711ae7fe4ad2138', '1c394ede7ac77b5a', '26a13a48c0505d91']; context = [[152, 180], [10, 36], [94, 122], [118, 145], [1, 29], [45, 72], [39, 65], [5, 32], [58, 85], [91, 117], [124, 151], [38, 67], [13, 42], [52, 81], [84, 111], [73, 100]]; loss = 0.025315 low_pass_filter = 1.111
+Epoch 0: | | 2569/? [25:17<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 2570; scene = ['fda6de02b80cf549', '1b2a331419e7e43d', '57274cc3fac11cbd', 'd9aad93b7c670519', 'f8f773a036b4752b', '370ed12221433e23', '4ad5cecab1988512', '98f9e6a5b0475808', '362336fc9e531a0a', '6f8b6524e87dc23c', '4d0c2481182d6b42', '6408008d0dcba73e', '891b961086b8c3c1', '4e64a4ac8b752f34', 'a6e476731dc84ba1', '82eea335b00f5e72']; context = [[51, 80], [37, 64], [30, 58], [144, 173], [47, 75], [9, 36], [102, 128], [190, 218], [7, 34], [52, 81], [7, 33], [13, 41], [232, 260], [219, 247], [35, 63], [142, 169]]; loss = 0.027964 low_pass_filter = 1.111
+Epoch 0: | | 2579/? [25:23<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 2580; scene = ['064259812e015154', '7840587b79766a50', '71222ce1f9bca7a6', '56453c8b912ad0f8', 'abfc80bb9eee93b2', 'ab04798f9ddd9aa9', '4ba784982056b564', 'e33d4bd8288fc69e', '0692c8f769b8cd3a', 'c3c6a1d4b69cdaf6', 'd3e71bbbe7705414', '883e411c844935bd', 'cc1d9324e09232f4', 'ffdc1ca307b644ad', 'caf5b80ffb785dd3', 'c214b28101c8c489']; context = [[61, 89], [15, 44], [5, 33], [51, 79], [243, 270], [90, 117], [42, 69], [172, 198], [13, 40], [22, 49], [41, 69], [23, 50], [59, 87], [42, 70], [118, 146], [2, 29]]; loss = 0.027202 low_pass_filter = 1.111
+Epoch 0: | | 2589/? [25:29<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, ltrain step 2590; scene = ['3b74c3f144474d24', '8fed2c4e70775877', 'fcdcc79356464898', 'c74c318cbdc27580', '4b7634eee1c5582f', 'c32210a376137088', '039a82846f63ce27', '57cb1fd49a354fba', '921a2747f28f1aee', '43f2fea0a0027461', 'fbeb7fe99c10b717', 'df73e3e6ea5086d9', 'a40c454857fdf94c', 'a9527d6eb43fc8a2', 'fb01f5097fbb0cff', '2f4d619df72bfc71']; context = [[17, 45], [6, 34], [8, 35], [48, 75], [31, 57], [22, 49], [18, 46], [231, 257], [49, 77], [85, 111], [27, 53], [27, 53], [31, 59], [37, 65], [123, 152], [73, 100]]; loss = 0.029823 low_pass_filter = 1.111
+Epoch 0: | | 2599/? [25:34<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 2600; scene = ['f1b3a5ea8e5b5c49', 'beb1dd411fbbbddf', 'd9121fd963a819a3', 'ac45c4c003b301fa', 'de4deb5003c39eaa', '8b5f8899f2dba87b', 'b8a31df5ed4b5201', 'a7f2a84e3c3d2246', '3b0b68d41e6ba982', 'f777e84de50ab343', 'b1b3445652e40300', '78b0572c7a01313d', '85fe0c9de56c57f0', '09f3717e39a68255', '36c9ae4fa8a4aecd', '696e1d29b7f7be5f']; context = [[124, 150], [1, 29], [20, 46], [5, 34], [48, 75], [29, 57], [10, 37], [0, 27], [14, 43], [13, 39], [148, 174], [1, 29], [148, 174], [83, 112], [91, 119], [52, 79]]; loss = 0.024686 low_pass_filter = 1.111
+Epoch 0: | | 2609/? [25:40<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 2610; scene = ['baafe805d390af0d', '94b830db1d77fbaf', '142cfddce52374de', '48d5b6a6f6673781', '5a921708be7d49db', '0a1654feaf539c75', 'e6670f2ab82d23b8', '0880f556a19d07f5', '4bd13783695ed549', '641310a2d9c88eab', '412804362c1bce61', '9b6a57a6ff02dd12', '577c560e66207737', '5f19342a4c3ee1c5', 'af05e9f84b56ad4b', '8568c60d6f777386']; context = [[17, 45], [77, 106], [3, 31], [34, 62], [28, 55], [28, 54], [87, 114], [29, 57], [41, 69], [50, 78], [29, 55], [26, 53], [1, 27], [1, 28], [144, 171], [59, 86]]; loss = 0.025515 low_pass_filter = 1.111
+Epoch 0: | | 2619/? [25:46<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 2620; scene = ['d938c73738634cbf', '359af2b0f4c26712', '9c248f0c3e94154d', 'ba94402402fc0c58', 'c301d66da36ab4f6', '592c1eea73fa43a2', '9928ce087f146444', '33adc68fe41da745', '944da8caf16bf01d', 'ea34fe29b32d99f1', '2dfd824c1516f925', 'c21a7d55e154f542', 'b88db7960be465ab', 'e25fdd12f8ddbe42', 'fd8c58805a736806', '00a5cfccd6508e96']; context = [[5, 34], [42, 68], [108, 136], [4, 32], [57, 83], [45, 71], [105, 131], [16, 45], [212, 241], [8, 37], [11, 39], [41, 69], [89, 117], [46, 72], [31, 60], [122, 151]]; loss = 0.025783 low_pass_filter = 1.111
+Epoch 0: | | 2629/? [25:52<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 2630; scene = ['87042fddb0b19a0f', '172fccf6211f3546', '50e67468797f400e', '33f49673459fcb0e', '2316b4d8d41df4e5', 'cd0b66c5de7b7a00', 'ca763356c13cda22', '196e67f35573aee5', '44e3e8bf1a3ee95d', 'f1f2e1670095235f', '6347dab2e71b8e3d', '7766ed41dc09a8bc', 'dd4fa5f6bab88faa', 'eb995245e27d4501', '3e4cc481bf540f72', 'e0106272b4009cfc']; context = [[67, 93], [8, 37], [100, 126], [13, 42], [81, 107], [118, 145], [57, 86], [114, 140], [43, 70], [153, 182], [13, 42], [25, 51], [47, 73], [136, 164], [189, 216], [50, 76]]; loss = 0.028447 low_pass_filter = 1.111
+Epoch 0: | | 2639/? [25:57<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000, ltrain step 2640; scene = ['6f4af7195e3a97b7', '5f6c34666d91e1e3', '25e1057952554e53', 'b7fdfb242e095110', '43866713556dd0ae', 'a5ef4d029ec244c6', 'ddeb26aee2619bf5', '7eff5e9e76ba5d7b', '2192e23641f6bf31', '515754f1d2815313', '2da1778385f8c639', '3333b88b7b828755', '07251deb1023bf31', '3c1930672c047cd5', '7bd19f4b8fe7604a', '03fcc7f08b6230dd']; context = [[32, 61], [26, 54], [89, 115], [33, 59], [34, 61], [45, 73], [15, 44], [40, 69], [182, 210], [19, 48], [11, 38], [107, 135], [55, 83], [30, 58], [13, 42], [35, 61]]; loss = 0.029040 low_pass_filter = 1.111
+Epoch 0: | | 2649/? [26:03<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 2650; scene = ['f47277f7f51b6864', '8e337798f212fb43', '295f7411f92f09d9', '9fcde3fe23e549d8', '7ca343c7d29b984b', 'be75bc0a2ba73990', 'c79fe61f55945277', '9f0f1ad360ccd857', '994090734564320b', 'a76ec83c9984d4cd', '2b09a49067809eee', '786d7805ee6f3ad4', '9b07d9e9bfde2127', 'a2272a447c64f48b', 'a8013f840680bad5', 'b8c4f3337fbd630e']; context = [[13, 42], [99, 125], [51, 77], [11, 38], [60, 86], [40, 67], [43, 69], [43, 70], [25, 53], [2, 28], [1, 29], [185, 212], [0, 27], [54, 81], [9, 38], [29, 57]]; loss = 0.030484 low_pass_filter = 1.111
+Epoch 0: | | 2659/? [26:09<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 2660; scene = ['05854d9374c484ca', '290127cd737563cc', 'f6cdb8d0733335ad', '023db58efffc91c6', '24c90b915d34ef39', '7b6d85d305712530', '076bbd1caeea14aa', '2a9ed0c8f1e73164', 'afada79155d2e80a', '390a2ef1eccd3a2d', 'ceb6ae5e9a1e7e8e', '0f10ee595239baa1', '83270f13433486e2', '3d482adab376b844', 'dfb0d3dc0e39b336', '535dd05866664359']; context = [[18, 47], [16, 43], [85, 111], [217, 244], [69, 96], [65, 91], [57, 83], [5, 33], [4, 33], [3, 31], [2, 31], [40, 67], [90, 116], [5, 33], [0, 27], [9, 36]]; loss = 0.024870 low_pass_filter = 1.111
+Epoch 0: | | 2669/? [26:15<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 2670; scene = ['346f36ef9992c30c', 'e22326b78f12ffdc', '48f30e638e906d02', '85f6a09d7c0ed82e', '5fa60c880368bb4f', '2a02d4281c5b97bb', '3650acf4e144d660', '501a6f4480ce533e', '6bbc8e2718708902', '7d70798a0178383e', '86c8c9b0a6200b4a', '75d7982a76052a50', '5c6eb6a2caa8b53c', 'cc095b6f7aaeff1f', 'e66e9d07a140e364', '54dd2fecd7c5469f']; context = [[115, 141], [51, 78], [105, 131], [55, 82], [50, 76], [12, 41], [10, 36], [6, 33], [23, 52], [3, 31], [49, 78], [1, 30], [30, 56], [29, 58], [2, 29], [31, 59]]; loss = 0.030388 low_pass_filter = 1.111
+Epoch 0: | | 2679/? [26:21<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 2680; scene = ['a751b66299f1d15b', 'd2d56f61aa0000e9', '0d4d9f5a612e07e1', '00b9fa905d6c0830', 'fe973886ef233d3b', '7536ce49ae587cef', '7e73fccfa5fdbaf8', '62a3405c56eb738e', 'b684f0ec6d9c26b2', '040c698e24e08ed0', '2e4d851f9306e3dc', 'c85eadbc32f2adb0', '0421b2f436f8639b', 'cba4fb922ec2d6d4', 'db03fc84a638ede6', '039f60e42dce9e90']; context = [[30, 58], [6, 34], [57, 85], [5, 33], [242, 271], [45, 71], [36, 62], [45, 73], [33, 59], [43, 71], [62, 90], [217, 243], [20, 46], [93, 119], [16, 43], [49, 76]]; loss = 0.027126 low_pass_filter = 1.111
+Epoch 0: | | 2689/? [26:26<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 2690; scene = ['d5473cb2512db1e8', 'cbc58d25231ba015', '079ecd0130a2ee5a', '89e458eaccf5b7d1', '6114bc0949f33943', 'f28b186ce4e71938', '9ad60ffef915e889', '33bec869e73e7247', '7909d1a385285e9a', '42500f7d1c55ef18', '4eeb65125c3f0fc9', '099a15b4ca13f1ad', '911908173c30f240', 'eacf756b2e7d71e3', '6f7ff483d3462c74', 'de8b3d14296c6fc3']; context = [[0, 26], [118, 146], [40, 68], [10, 39], [93, 121], [62, 91], [80, 108], [13, 40], [3, 31], [1, 29], [16, 43], [14, 43], [1, 27], [41, 70], [71, 100], [64, 91]]; loss = 0.032441 low_pass_filter = 1.111
+Epoch 0: | | 2699/? [26:32<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 2700; scene = ['d3175d40e3679fd5', '53bcd9c6deece10a', '77cba126c83354bb', '3de485eddabc0ae8', 'e615f13fcc5fd08b', '39d39ebdd5959a48', 'f7fd59b61fd90975', 'f1db7081cdca2869', 'df21bcc5b49bc2bd', '99318fe651526dcc', '23997b17e26ba688', '4bf92848b7ed1bcd', '1807c87f55f05974', 'e4a1a35e66a7646c', '3ba9ee5b0a0ab41f', 'c69799cd4137c6b5']; context = [[15, 44], [19, 46], [1, 27], [8, 34], [24, 53], [32, 59], [40, 68], [15, 41], [35, 62], [18, 47], [7, 35], [55, 82], [207, 233], [17, 45], [20, 48], [10, 38]]; loss = 0.031873 low_pass_filter = 1.111
+Epoch 0: | | 2709/? [26:38<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 2710; scene = ['43bb5f6926547aae', '24fbc5df260712f5', '2898d4c76acafed9', 'b61d2950c49d51f0', 'bd7cf65e2226f5bc', '4ad4a325af74fc67', 'eda01f724b39dbef', 'a06a60dbcb377f70', 'bc51d02a05fce838', 'e52bb29b8c03f39e', '5994a80afa6ef0fe', '40aa327f7c331a8e', '8a6f058ea1b60e96', '67642ba9afa1b1cf', '2369b06fbf07fe26', '9c41777f108288ed']; context = [[111, 137], [0, 29], [42, 69], [59, 85], [11, 37], [5, 32], [31, 58], [49, 78], [218, 244], [26, 53], [44, 71], [82, 108], [98, 125], [23, 51], [50, 76], [0, 29]]; loss = 0.028358 low_pass_filter = 1.111
+Epoch 0: | | 2719/? [26:44<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 2720; scene = ['558bb65bfbe54320', '5c636a8622d43293', '60bf0a4a1ac5f0c3', '2d7c79c978b0cc08', '05b11294218075e1', 'e6be807f7579f977', 'a4a2397604930cf7', '530511cbdf4fd449', '31ee0ad396e51e16', '0304b78786c9cc4f', 'a61c8d77fdac60ca', '4f0b9b05ed188565', '2b562d23a3c7e4cf', '276de289278edacc', '78ca16a59dd41338', '56f957c4bc88fa94']; context = [[43, 71], [55, 82], [30, 58], [8, 35], [102, 131], [16, 43], [26, 55], [112, 138], [24, 53], [87, 116], [170, 196], [150, 177], [123, 150], [39, 65], [30, 59], [20, 46]]; loss = 0.025749 low_pass_filter = 1.111
+Epoch 0: | | 2729/? [26:50<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 2730; scene = ['a93d2bf11fa85ad1', '9d38ad32f22032fc', '6c6baea7b1d5f2e5', 'b814caa6ac18cac8', 'c8ead779553c0bb2', '4b2d80c510bb8088', '472681b6b747e84a', '1316f6809b85ba42', 'a60a2e4385f361ac', '75360b350aacca61', '338008a25afe3c9c', '09028d01a4e4343e', 'b6c080c0457896b1', '0ebbdd2d2ba475c7', '4609cbd1d6254985', '73341b79eaf41f6a']; context = [[37, 63], [14, 41], [27, 53], [18, 46], [53, 79], [2, 30], [13, 39], [20, 47], [25, 52], [34, 61], [67, 94], [18, 45], [19, 45], [28, 56], [5, 33], [37, 65]]; loss = 0.023798 low_pass_filter = 1.111
+Epoch 0: | | 2739/? [26:55<00:00,  1.69it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 2740; scene = ['72a9a4ad61faf344', '65ca4812c80ba806', '8f965746e016155f', '5f1eb519a6b1b975', 'ff1d2975de62c75c', 'aded09e472c481df', 'b4cb12731a693d63', '8987627b29eff8a0', '40655ef994aa4830', 'b419bfa4bf5e4d5f', 'db61ac0ddc21d1c9', 'bb1757b78d7c2c4c', '22e5318eb8d1a4e9', 'c27a58dab30fbcc2', '7297c259c805075a', '93ef5f616317a2ff']; context = [[91, 120], [4, 31], [54, 80], [35, 62], [5, 33], [27, 56], [52, 80], [48, 74], [85, 114], [21, 50], [96, 125], [21, 49], [7, 35], [22, 51], [16, 44], [42, 68]]; loss = 0.023991 low_pass_filter = 1.111
+Epoch 0: | | 2749/? [27:01<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 2750; scene = ['a9c612e54be0a3cf', 'f6d3ecda8aa336f1', '7ab6a3bfcbea506b', 'c995765e68129655', 'd3601cae3d835072', '2cfc46890614d1ef', '98d8838631d8a52e', '10fda5483645a9da', '550c91c247fed3a5', '14056595020e5128', 'accb1432540b4ca9', '1bc2686e6cb1fb1a', '149706425ea3666a', 'cfbb220575fb9b02', '4eaf18a0f1a7e366', '9331e00704e39648']; context = [[89, 116], [67, 94], [35, 62], [44, 70], [35, 62], [216, 242], [0, 28], [65, 91], [1, 27], [9, 37], [5, 32], [1, 27], [34, 61], [72, 99], [199, 226], [62, 89]]; loss = 0.026208 low_pass_filter = 1.111
+Epoch 0: | | 2759/? [27:07<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 2760; scene = ['e9e69d643ef7765f', 'c92d3baa79f78d32', '9f3a66dc64d7fdc9', 'c5202610b421304f', 'b7aab68953b46e64', '2aaf84176521c42f', '162bcb36d182892e', '4ca08ed9abd6d4e8', '5959438b5e5323c8', 'ee6dbc2c59399aed', 'c6d8e17b7d2a1ecb', '49b06839566d207f', '60e0c22b7dbb3152', 'c780fe2e3caf6310', 'c54921b03f732500', '6ad060d7a8b3220f']; context = [[8, 35], [16, 45], [64, 91], [43, 69], [15, 42], [49, 75], [29, 55], [54, 82], [88, 115], [17, 44], [174, 203], [3, 30], [14, 43], [65, 92], [129, 155], [13, 42]]; loss = 0.030085 low_pass_filter = 1.111
+Epoch 0: | | 2769/? [27:13<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 2770; scene = ['022d410bd702ba81', '4ea41eaf69afec04', '92660c8d92d3bf06', '6a27f031bc3f1193', '6530f4e60599a4f0', '9c6ae5f9ffede923', '322eaa39daf81f93', 'f9769cbf746e54d5', '5bdceb769e5b3926', '90ae09316f304318', '74c29d0b7eb8728b', '37d7e8a9f23b2418', '3803b2c8fd539a88', 'cba6272095141e36', '4007505c2d6ee7ee', '9bbd1ab3491972e3']; context = [[0, 26], [9, 37], [33, 59], [7, 35], [96, 124], [83, 110], [4, 32], [77, 105], [13, 40], [16, 44], [6, 32], [107, 136], [53, 79], [33, 60], [14, 41], [52, 78]]; loss = 0.026515 low_pass_filter = 1.111
+Epoch 0: | | 2779/? [27:19<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 2780; scene = ['6dce42c0376ed5bd', 'a392b45c2f7dbe40', 'ed2d12be16750310', '8ccd419c07a54f45', 'a18d3ccd10fbff62', '1ecdbf071c9efedf', '0aa65a45e54c8ff1', '70a7c73ee0ff15cf', '87c8a0082ed8ff94', '644edb7b339e7204', 'a03aac3f83c63352', 'f0542cd2d21f3359', 'a11168f2dbc672f5', '412f8a80f8206ea5', '246e844f2b0c296f', '2ea9a7e763491324']; context = [[42, 70], [29, 55], [8, 36], [9, 36], [80, 106], [65, 94], [47, 74], [109, 137], [110, 136], [4, 32], [25, 51], [111, 139], [44, 70], [4, 32], [29, 56], [27, 53]]; loss = 0.026810 low_pass_filter = 1.111
+Epoch 0: | | 2789/? [27:24<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 2790; scene = ['cd9090984c241687', '98e9a5ae1fc337a3', '4618dce02a9d0713', '0d13f4d2a07b20d7', '0cde1dae939d4611', '08bea3131a278709', '4d9cf2781dda4a42', '24c59c5a704aa7b6', '45b743f9172c9d72', '83b6c9f023f5e600', '8f75ef614e485fb3', '820548d9fd8c6d68', 'bced85140b42b6fb', 'e2782c697c307b5c', 'c61da3d71ad8e0f9', 'bae10dfeb1e50d99']; context = [[95, 123], [22, 49], [22, 49], [45, 73], [40, 66], [0, 28], [39, 67], [27, 55], [89, 116], [79, 105], [9, 35], [18, 46], [94, 121], [31, 59], [30, 59], [12, 40]]; loss = 0.024381 low_pass_filter = 1.111
+Epoch 0: | | 2799/? [27:30<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 2800; scene = ['38a818f1e211f86d', '7bdbd980d63d20cf', '6d4b0a0b9d2edc40', 'c9da02eed003e463', '0781d28ffb7b92ca', 'bb26fb8a0d9e9cee', '07708a3ed68a094a', '911098f20e602003', 'bab5c4c3deefbe11', 'b522bb9dc4bb2d45', '081accf980a4d097', 'a3dc53d7c2c5c450', '64cdab2d68387847', 'de111f91de9fe294', '98585b958fdbf74a', '034e89ee1adfd2bf']; context = [[103, 132], [8, 36], [177, 203], [0, 27], [98, 125], [36, 65], [164, 193], [49, 75], [102, 128], [61, 88], [17, 45], [95, 122], [12, 38], [34, 61], [22, 50], [27, 56]]; loss = 0.030135 low_pass_filter = 1.111
+Epoch 0: | | 2809/? [27:36<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 2810; scene = ['4f40c57cfb094233', '0ae59238a62ddee3', '53c27ddd5ade14e1', '4618698bb2ab83d8', 'cb4e1239c00db508', 'c3d7c6b0a2f4961d', '28b23bd8cc4b5cc9', '502b31ec4023c337', '3163e39561e208a8', '7c66260a2a16b5e0', '5f6129348cc047df', '24a3779576222a94', 'b3698fba681b1429', '8e12adaf19e58a53', '436e6d7fb59aa0f3', '0e53f99fe63ee8f2']; context = [[44, 72], [50, 77], [31, 60], [121, 147], [7, 34], [91, 120], [39, 67], [92, 121], [12, 41], [9, 38], [20, 46], [9, 37], [56, 82], [6, 34], [228, 256], [79, 108]]; loss = 0.024857 low_pass_filter = 1.111
+Epoch 0: | | 2819/? [27:42<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 2820; scene = ['09854e27eba8832e', '833036a1cf009daf', '5b195bc1030ac237', 'ecf1815bd13d3bd0', 'bb3914c6e9a2cca3', '99577030a38ef264', 'b118e65ba0895ec6', '9eeb527fbe6dc6e0', 'f7ddde410c09af50', 'bc658fe0b4f75140', '009ded7e45b6d15f', 'c3af30eccbfd3e19', '041925e6e243e1d2', 'b6a682bb8da600af', 'f52a3a32719dea03', 'c518fb3550416ddb']; context = [[18, 44], [9, 37], [29, 57], [3, 31], [38, 67], [34, 60], [52, 78], [57, 84], [18, 47], [24, 53], [32, 60], [46, 73], [55, 84], [9, 37], [105, 133], [37, 64]]; loss = 0.025356 low_pass_filter = 1.111
+Epoch 0: | | 2829/? [27:47<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000, ltrain step 2830; scene = ['11d03c85eb29a783', '031747e0c810d3a9', '22a76d98bd2d748e', '1aa7e75df75e56df', 'db09edb16cf63afb', '652f860523c0d63b', '794b1f61bb53511e', '1f264383e514644a', '6abfb2e52aea1a65', 'd848b9acbb7e79f0', 'a6792878dad60243', 'd19bc02c7a2c4a05', '72b4959b43d63649', '684b3fe54099d16c', 'b1e83960965e92a9', 'ac5122b9a344d3be']; context = [[53, 79], [26, 52], [195, 222], [3, 31], [0, 27], [117, 143], [24, 52], [53, 81], [40, 66], [24, 52], [8, 35], [62, 88], [45, 74], [75, 102], [8, 37], [1, 27]]; loss = 0.033128 low_pass_filter = 1.111
+Epoch 0: | | 2839/? [27:53<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 2840; scene = ['0e04ac8477cdc1ba', 'e317628493b63975', '7f373c1d63fc0e8e', 'bd0014e1f2db0016', 'c4b807c5b04029a9', '3d4fbb163ed0c038', '77bb1e0d667eb2c5', '498070d8ece368c7', 'ce4777cadfe8febc', '915ccf1d0279d962', '7f81996fad0f7caf', 'ced85ab956a4190f', '721db478d9515f86', 'b35e13c7d602603d', '02d8bb7d9a697e4b', 'efd0fc40e46dcabd']; context = [[7, 36], [11, 37], [100, 129], [34, 63], [6, 32], [217, 245], [143, 169], [16, 42], [17, 43], [32, 59], [4, 31], [5, 32], [121, 148], [43, 69], [215, 242], [82, 109]]; loss = 0.027618 low_pass_filter = 1.111
+Epoch 0: | | 2849/? [27:59<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 2850; scene = ['48a9f2119ae79662', '3820e4354377e7da', '511207c07d553599', '7f5aa79ec2e823ad', 'cc306ca65c5dbc24', 'c2e4a08593109a16', 'd3917d0a1eda2a1f', '78df146e207949e3', 'f29b03bb0ede6c6b', 'ccf0fb152a3957ec', 'c4b2915ba803f481', '817eacbf366cb02c', '368f5c20ad10eaa7', '63a09885afeaa9ef', 'f02861ed6d0329b5', 'f020c35a66a04291']; context = [[69, 95], [1, 30], [3, 32], [21, 49], [235, 263], [28, 54], [59, 85], [102, 128], [88, 116], [17, 46], [55, 83], [37, 65], [57, 83], [43, 69], [82, 111], [3, 32]]; loss = 0.026450 low_pass_filter = 1.111
+Epoch 0: | | 2859/? [28:05<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 2860; scene = ['df8aed95e105f065', '350ee2da20bba2be', 'd9314cc976dfa779', '1b4c3cfe64fe6067', '438b09876af8f04e', 'f9b3fd7bc45c853a', '01df58c292aa0310', '8ecf1e4e58a9553d', 'b43104adbdf3b1a0', '9df293d4cff7a027', 'a1a44fdd4720ce4c', '7341e63a7c77334f', '46a16b80d7b725c1', '6223a7a4c451dfac', 'ce39744fa5a6e73d', '5462a7e6d388aaee']; context = [[217, 243], [39, 68], [28, 56], [60, 88], [40, 67], [158, 187], [9, 38], [86, 115], [26, 55], [74, 101], [34, 61], [62, 89], [29, 55], [121, 148], [5, 33], [13, 40]]; loss = 0.028347 low_pass_filter = 1.111
+Epoch 0: | | 2869/? [28:11<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 2870; scene = ['17c078de5ed38bd2', '337bac6be4ca89e1', '5c9bd02482ad2baf', '6c2280965b2c589b', '844291f011c40bc4', 'be0c13a1287e01dc', 'b235d80fb447dcad', '6c8269719e65ab3f', '5fb199b37014d66c', '9307f8bff82ac421', '2c1c34804bd85520', '746c9c4988c58d15', 'ac0adf351c198028', 'a3620e34e8895263', '84826a7eacde5724', 'bceb41276703211e']; context = [[50, 79], [40, 66], [73, 99], [22, 50], [7, 33], [58, 85], [83, 112], [21, 48], [29, 57], [55, 82], [1, 28], [3, 31], [76, 103], [12, 40], [35, 64], [9, 38]]; loss = 0.030483 low_pass_filter = 1.111
+Epoch 0: | | 2879/? [28:17<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 2880; scene = ['10a1f8abfc11b748', '28e3201ddd4e6d57', '9b8b317f206cd862', 'e668a843e852b450', '570eae579ca05517', 'cdcdc97ba9dfaddf', '1f6b4a61899ab87f', '5b43db5bf21abbb8', '85719fc0e88eacae', '84f9b1294314f17a', 'f7162df69d7f02d6', '5299e1d8459614a0', '83c4c9fb7e651990', 'daabae5358f7603f', '73677808d2e27970', '1effe9e0b094ca8a']; context = [[17, 45], [41, 68], [50, 78], [7, 36], [37, 64], [56, 83], [25, 54], [34, 63], [126, 152], [1, 29], [118, 146], [41, 67], [71, 100], [98, 124], [82, 110], [25, 51]]; loss = 0.024232 low_pass_filter = 1.111
+Epoch 0: | | 2889/? [28:23<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 2890; scene = ['4ed5567da37496b3', '4f56ecc3ff0e7b5a', '5d2c51639483b85d', '6c0e4126b5d4e92f', 'aef946964881b3aa', '568574ce26f78d2d', '5c7e6ae0cfc43f73', '8a5ef9fcbbbd0715', '8ecfc78b396022f8', '75cb938ef32ffdbf', '0d401f1b0cb3d6d0', 'b2d4b9ea541e9f37', 'd5dba29fb7878ed2', '1cec8c9926ac8fd1', '3a2d10fe0a31c3ef', 'fea578cc66e55e82']; context = [[10, 39], [86, 115], [55, 81], [49, 77], [5, 32], [1, 30], [14, 40], [111, 140], [174, 203], [39, 65], [63, 89], [114, 142], [105, 133], [11, 38], [158, 187], [48, 77]]; loss = 0.029312 low_pass_filter = 1.111
+Epoch 0: | | 2899/? [28:28<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 2900; scene = ['aa2883136b009b8f', 'ab717e6921f1e855', '06f32680a0705bdd', 'cb1ecfd7427463e3', '50be6bda22ad172e', '1f28c177c829855b', 'b1b3c256fa38e565', '24a5b18908fc004d', 'f1a9c18459064ac1', 'd326909d557faf66', '263d7f22d36210d7', '8dd3b522ff68a4aa', '3c8c39f9ac4df6df', '55470b75c7afb481', '2ec1f000c3fdc4dc', '927a91d4f0d12802']; context = [[26, 53], [18, 47], [25, 53], [30, 59], [13, 40], [17, 44], [0, 29], [165, 191], [9, 37], [19, 48], [0, 26], [58, 87], [47, 75], [222, 249], [6, 33], [90, 118]]; loss = 0.025310 low_pass_filter = 1.111
+Epoch 0: | | 2909/? [28:34<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 2910; scene = ['d3571aa640d9ebe8', 'c0de6e9564792ffa', '5047b5dc3a98e12f', '3830621fd20294c5', '2c0f4dc479fd405f', '106afcce4381c331', 'a399b803b264fc36', 'e4da6ce76e7c98e0', 'eebfd07c5aeb7eb2', 'f22ef1d4163a72b2', 'f557a8939e2e48c8', '425386b8c72dc44f', 'b878dfc4a56ec619', '2ea89db4267fbfe3', '9aa2344ab1fce074', '39fb4d9b5a1a1a52']; context = [[46, 72], [64, 93], [126, 154], [11, 37], [1, 30], [9, 35], [19, 47], [80, 106], [40, 68], [41, 67], [44, 73], [164, 193], [11, 39], [71, 97], [27, 56], [117, 145]]; loss = 0.027181 low_pass_filter = 1.111
+Epoch 0: | | 2919/? [28:40<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 2920; scene = ['3b3cf18766226dba', '53a78f0397e97484', 'af8f48c2701a86d7', 'a6716ac7a4815ded', '71712c08e8ef2a32', 'a1a1232aaf87f494', '6c57545257660e6c', '1b35df36589d1961', 'db4aa5fda0f93baa', 'c9549c302dd8199b', '8c8616ef6d449859', 'b6a1c51335c46f66', 'e2a52c2d94f21d4d', '69ade1c53ca7e211', '4a1a85a8dbc07ae4', 'fccf8038ea8d25a0']; context = [[47, 74], [74, 100], [63, 91], [14, 42], [30, 58], [89, 118], [51, 79], [94, 121], [133, 161], [43, 73], [6, 33], [71, 100], [24, 52], [58, 87], [43, 70], [43, 72]]; loss = 0.024565 low_pass_filter = 1.111
+Epoch 0: | | 2929/? [28:46<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 2930; scene = ['a8c67c7050608d71', 'f7b4d47fa023d83c', '44b54a674418eae1', '59290e5eafe2dacc', '1ff6a0130c1bdbc9', '2876ff2b0e9b35c8', 'c1c51fb2e8fa3f3d', 'b0d93ae7dff54459', '0eea77c7a7ea776b', 'a8708276de880b2c', '63e436b601897a18', '76d53cf41f53eb37', 'ff1dca7b309e73cf', '052b90459fc4dc8b', 'c26b1dbc51bb76a2', '69a5d941518eba83']; context = [[96, 125], [0, 30], [36, 66], [81, 107], [44, 70], [14, 43], [25, 52], [97, 126], [9, 37], [18, 48], [116, 142], [79, 106], [2, 32], [2, 32], [26, 54], [4, 32]]; loss = 0.026368 low_pass_filter = 1.111
+Epoch 0: | | 2939/? [28:51<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 2940; scene = ['ffc4643950346872', 'c28f10a578096fe7', '1f2c53501ca20a48', 'bc8d6f045241fec7', '6d638e347e889c63', '008d5bc870d12c22', '10810c921b4b3f84', '37ff350eba2c5f64', 'c86ccd2448e8735d', 'cb6f68fd2e9755aa', '66a09cc7f5e4dbc8', '0476466b02a84b3a', 'd705175cee467a2f', '78eaba283994c8c6', '645bdd61301d7e81', '273d38e69ae4e7ab']; context = [[5, 31], [45, 71], [53, 82], [191, 220], [37, 63], [212, 238], [64, 91], [151, 180], [23, 53], [37, 63], [30, 59], [116, 143], [73, 99], [55, 84], [34, 62], [59, 86]]; loss = 0.026557 low_pass_filter = 1.111
+Epoch 0: | | 2949/? [28:57<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 2950; scene = ['9585609b1fe86052', 'ce265bd6aca906a0', 'feb014e43dd4f086', '5cd649d23647e9a8', 'a851d4797973dd8b', '212d150054874c3e', 'b4c05fbe77402eb7', 'd93dbd6c7758a61c', '2b02c5424369025d', '7686c96acba0fd1d', '86f9daf0ed9c7901', 'b6c09e68122ca0ed', 'e051ee18fd66cd1b', '6bb6aeb2cdbc2280', '4353a602b8632521', '7c9b792d56888acd']; context = [[7, 35], [31, 57], [28, 55], [85, 114], [7, 34], [139, 166], [1, 30], [40, 70], [33, 62], [8, 38], [76, 102], [52, 82], [10, 39], [132, 160], [32, 61], [61, 91]]; loss = 0.028936 low_pass_filter = 1.111
+Epoch 0: | | 2959/? [29:03<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 2960; scene = ['80f041deab809da5', '3ac7d938a795a0f3', 'e866dd5ed712269e', 'a80189fe08a0edd6', '7c57600e31e85604', '0a1e750a4a0d5a2e', '9268d50de3052c96', 'fafd9e0fbb9517b8', 'b7f5fcfd690b5c55', '2d41459c943e1f71', '4d9d95d4a2eda32c', '9f289d737530df94', 'eca1e97782041b82', 'c9e8eb444e59ea70', 'be60e4b9932e0088', '4f3b49c328faf997']; context = [[13, 43], [11, 37], [3, 32], [47, 76], [77, 104], [98, 124], [4, 34], [151, 179], [12, 41], [9, 35], [91, 121], [3, 31], [2, 29], [99, 126], [5, 35], [75, 101]]; loss = 0.025599 low_pass_filter = 1.111
+Epoch 0: | | 2969/? [29:09<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 2970; scene = ['492d58c60ff59717', '5a02b12decdc528a', '46cbc096a3273b53', 'a5dfff7e0d310d45', '5dac5439a266d383', '3d5a986156f92892', 'f94badaa12bf80cb', '58694b5c16496ad4', 'cdcf8ecbde39db10', 'a120150644ae529a', 'b9ac53cf1cd3f4e3', '895ca8e07071abd4', 'b82808040252571d', 'e967a875e94bc523', '66b0bedbd87eb6d4', '4348fa85c0757b62']; context = [[23, 49], [46, 72], [212, 240], [89, 117], [188, 218], [62, 91], [32, 58], [5, 32], [61, 90], [62, 90], [15, 45], [26, 52], [191, 220], [15, 45], [141, 169], [25, 53]]; loss = 0.026021 low_pass_filter = 1.111
+Epoch 0: | | 2979/? [29:15<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 2980; scene = ['670b9bea39ffbfe5', '8dc9967df5714acd', '2c6b93544964bc01', '3cda064458c78e23', 'a964dd03dd3194a4', 'c78bdf20071dbd48', '9d1985c29dad84fe', '2db98c7e8a6bb797', '0be2cc56c1bce065', 'dc6e87688f3e9bb3', '2c1e3f7af6fec6f9', '281661f8dbfedd6d', '3695aae861f18375', 'ab3ac1ab685dd2fb', 'c4b5cf9bba4c5620', 'a094ba1980c7d5dc']; context = [[135, 163], [100, 130], [23, 53], [14, 41], [108, 137], [194, 223], [66, 93], [25, 55], [84, 110], [4, 32], [33, 62], [68, 97], [117, 146], [37, 63], [103, 131], [9, 39]]; loss = 0.026872 low_pass_filter = 1.111
+Epoch 0: | | 2989/? [29:20<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 2990; scene = ['60043c9f1d07b03f', '01e3b8d11d64a76c', '48cebacf81b6da9e', 'dd6a99f9e257bba4', 'ff84efd73a79db20', 'd5c7ec433b929542', '0187f9f8c80ea4a2', '7dd0a2cb537a6cd1', 'c06ef6a33440080e', 'acd56b77308abd23', '3455d3305ced9b91', '728376a4318ffe7d', 'e20c5700872238a2', '2075c775ac7a6381', '293f5ffbb5082083', '3553dbf249a73a6a']; context = [[166, 194], [60, 89], [3, 29], [19, 45], [182, 208], [89, 117], [30, 59], [10, 39], [142, 169], [73, 103], [2, 29], [64, 92], [16, 45], [34, 60], [2, 28], [44, 71]]; loss = 0.023533 low_pass_filter = 1.111
+Epoch 0: | | 2999/? [29:26<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 3000; scene = ['bc9eb448f8a0f11d', '50336ac76985c064', 'acf12b5145bffd0b', '2dd9d42b3b490c0f', 'a76d33865b1cafa0', 'b7f363477937adab', 'e6fb9efae0406aca', 'ea79dc836a78061d', 'c29208a5f74d3649', '5d707a2d57727069', '525bdd8b89129054', '09ab73395b87ec6b', '35ce3025267c7ba7', 'e852d57c6de796cc', 'd585e74d7e2b840f', '83f01c4310f19278']; context = [[17, 46], [1, 31], [104, 132], [7, 35], [42, 70], [38, 68], [35, 64], [66, 96], [137, 166], [60, 90], [59, 89], [64, 94], [196, 222], [164, 194], [35, 63], [18, 45]]; loss = 0.027215 low_pass_filter = 1.111
+Epoch 0: | | 3000/? [29:27<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, lvalidation step 3000; scene = ['91fda69e1cda4602']; context = [[34, 60]]
+Epoch 0: | | 3009/? [29:33<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 3010; scene = ['92bd941ab6967c92', '885ae680bb5ea997', 'f353b0e2364b9578', '4bac79c3a17ed149', '06a4df55f3b8534b', '55f90e4726987c62', '0e5b88b902eaef5b', '9a3d9c594453fcae', '6ab2a4be471e3a98', 'f0e29b62f607dc08', 'c55ce55dae3a9dd7', 'dca2d5e4b6c4ae7f', '5b6570bc4855e52b', '16f6f5e30b18575e', '465fa8314b741006', 'd61c0c4ab6c707b1']; context = [[89, 117], [13, 41], [6, 33], [235, 261], [22, 48], [37, 63], [24, 54], [23, 53], [82, 111], [110, 139], [41, 67], [5, 33], [93, 122], [35, 61], [4, 30], [11, 38]]; loss = 0.029785 low_pass_filter = 0.370
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 3019/? [29:39<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 3020; scene = ['f5ce65e9a52c64db', 'a460ab40c5e3b5d6', 'ece3fdd38dfcfe42', 'c31738282f5e0f7c', 'cae6d0c80e820ea6', 'aa2952a523546771', 'dedea0cd114e8569', '27acee38db3d2440', '2fb81102a2e8cb7f', '24e1642761ed2ebb', '61e85330db0ed8a9', '89bd3e44cbcc4a0f', '778cbba4d1731914', '678d8464781a3de2', '8e78ce55e3180547', '7d9622491e2e478d']; context = [[35, 64], [21, 47], [0, 30], [7, 34], [73, 102], [43, 73], [42, 68], [20, 49], [45, 75], [25, 53], [22, 50], [205, 232], [32, 61], [42, 68], [20, 46], [15, 43]]; loss = 0.027758 low_pass_filter = 0.370
+Epoch 0: | | 3029/? [29:45<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 3030; scene = ['e5a301429b38dc20', 'fd4d668123665d1f', '95b1deb2d645f275', '6666ae9375b1656e', '28cab3659a1510a8', '3323fc8b3b6bccbc', '3c418948bc7076cb', '307049b9515d7ee6', '46d11fdef3f136d3', '1456ee4280583260', '62150f8a9d2176f9', 'e89a821f4ae317da', 'cb8269f4a827fd42', '7fc02c1b66b7464b', 'ac42ff7b8e4119c3', 'd0eb13d884ea1dc9']; context = [[34, 61], [216, 245], [43, 72], [54, 84], [31, 57], [38, 66], [77, 103], [177, 204], [31, 61], [0, 30], [127, 155], [1, 27], [99, 126], [18, 46], [51, 77], [16, 42]]; loss = 0.028083 low_pass_filter = 0.370
+Epoch 0: | | 3039/? [29:51<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 3040; scene = ['a674553868077393', '9de970f9a14770a9', '9e378758ef2f3f57', 'bb48ee6a54aba637', '629a3854ae5c697e', 'fc2c9e74972a3112', 'd4ce3ba462949704', 'd338fa414b68aae0', '22f2ac6719ab125a', 'e3b19a6c20b4a482', '9faadb16d7bfd2e5', 'b01124860ef4a2d0', 'abd3cabe7a8ce1b3', '978d853d57c2f68a', '91374736b0e8c0c4', '2a0f5dba69d0f0e2']; context = [[158, 186], [33, 61], [39, 67], [7, 36], [68, 98], [91, 119], [127, 154], [68, 97], [2, 29], [23, 49], [9, 36], [4, 30], [60, 90], [0, 27], [95, 122], [1, 29]]; loss = 0.030251 low_pass_filter = 0.370
+Epoch 0: | | 3049/? [29:56<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 3050; scene = ['c087bcbc6887fb94', 'a0593f34e6705c82', '4a6fc7a3eda909ae', '9d219f3e05b22cb2', '7bab8b0d42cf453c', 'ac379082a6cc5a82', '3a7e2c6d479b6da7', '7ce8f268af6b46fe', '23ea245052ef54f3', '6de4cba695a484fa', '6664d1ab6ca3f57e', 'ccc1e64084cd2ede', 'a1edb91a8328fa3e', 'c23bf3c2ede0c1bf', 'd7fcf04f38bdc1f0', '7e1a90cec7a329d5']; context = [[8, 34], [128, 154], [55, 82], [158, 186], [18, 45], [24, 54], [80, 108], [78, 108], [41, 70], [248, 276], [36, 64], [204, 232], [91, 119], [4, 34], [35, 62], [128, 155]]; loss = 0.026398 low_pass_filter = 0.370
+Epoch 0: | | 3059/? [30:02<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 3060; scene = ['369361af7490b680', 'adbe99ce86fde630', '1725444cbcf517ce', 'b06e61a7be8c80e4', '5dc2cecdba20b532', '581f0c393cc14adf', '9781f678199c8c4a', 'b1678aa5fe9e89ca', '9a308213ce2ba663', 'f0672b503ee9dd83', 'e43a51c4bbdbca0a', '1537d16fe982abc5', 'eaf70d3fdf4a4cb6', 'd3451a948ab6ae52', 'aa49ea66403b050f', '59f14fd999b7a247']; context = [[2, 32], [25, 54], [2, 29], [27, 55], [246, 275], [20, 50], [5, 31], [94, 121], [60, 90], [2, 28], [83, 112], [0, 29], [90, 118], [14, 43], [49, 79], [1, 29]]; loss = 0.026583 low_pass_filter = 0.370
+Epoch 0: | | 3069/? [30:08<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 3070; scene = ['c8b3f810b11d682c', '3b0eac399dbfd16c', 'b9fa9a93b6c71d1a', '3d9226a299c212c5', 'dab103950a98ced4', '471d05cb8b4bdbdf', '9c11364f882e0711', 'e594fd14a8185723', 'a667f1e8d9c8052c', '83f6690418bf02c6', 'b51950afe84dd6e3', 'c6395f5729950511', 'd2e9788589f8e68c', '960b87d0c2ce86d2', '513b92157acf770b', '092bfc70b4ba9fd0']; context = [[222, 251], [43, 69], [75, 101], [0, 29], [52, 81], [62, 92], [18, 45], [147, 173], [85, 115], [0, 29], [90, 118], [32, 58], [91, 121], [56, 86], [35, 65], [224, 253]]; loss = 0.029274 low_pass_filter = 0.370
+Epoch 0: | | 3079/? [30:14<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 3080; scene = ['25f120b63c777a3d', 'eda827d23766de0e', '154ca1b40882c2ba', '985e2ea54fcdc17f', 'cb17460c2a53d3d3', 'f6eb748a01065695', '73d0cc9f88dd47a4', '313139806de65869', 'dd249f6269133fd4', '51e7e2abc42fff2f', 'acc04053479de7b6', 'e6910569bc347ba2', 'bd781c735a39b252', 'e9e020c514404b0c', '86cfe990f194bb9f', '926a4f3af9386f6a']; context = [[194, 220], [13, 39], [38, 66], [11, 38], [146, 176], [76, 106], [63, 91], [24, 50], [81, 107], [52, 78], [37, 65], [31, 61], [0, 28], [13, 42], [35, 65], [45, 74]]; loss = 0.024311 low_pass_filter = 0.370
+Epoch 0: | | 3089/? [30:20<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 3090; scene = ['7a7a9fe746307fef', 'c2a6826b4e13e5a7', '53c54932758974ee', '4fed0ca3762d9020', 'c184945b52f9fdf3', '8b95bc9e3b662617', 'a39e1687e44f7eb3', 'de05d4ed34195978', '5888770aaa4a968b', '80e41e132e60ee48', '5b357eed900357ef', '5751251801d5eb33', 'e5adde4cd7cfdeb0', '211b3170fa4a2ead', 'b921fa6018447c1e', 'b19f8544604ec196']; context = [[72, 100], [36, 62], [116, 144], [72, 102], [80, 106], [136, 165], [119, 149], [111, 137], [61, 87], [0, 30], [18, 45], [38, 64], [57, 85], [19, 45], [6, 34], [26, 54]]; loss = 0.028492 low_pass_filter = 0.370
+Epoch 0: | | 3099/? [30:26<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 3100; scene = ['b4049b5f74fe2c1a', 'd8f23d503b820e53', '57112bf6cf251fe1', '9fb3173ad654a32f', '484b6df8b586dd1a', 'faf8b5d86e8b83de', '6f8b2d73ed0da2f1', 'b3ccb1e1003fcb6d', '9a8fd1d3cf706b89', '7c6a8caf90ddc0fc', '02a840608387c7e1', 'a421fa44be30ccf8', '7c3c345404cd29ee', '3370b1a40953d7ca', '916ba32c24c8014f', '6611ea98f1c6e06b']; context = [[16, 42], [46, 73], [17, 45], [30, 58], [121, 151], [29, 57], [90, 117], [19, 46], [97, 124], [15, 42], [2, 28], [5, 31], [5, 34], [79, 107], [3, 33], [120, 147]]; loss = 0.026324 low_pass_filter = 0.370
+Epoch 0: | | 3109/? [30:31<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 3110; scene = ['4bf5f9fe684d0e6f', '46e92522807e1310', '9b226bab17ff4cda', 'd331b5cc6afb6831', '85cd7765de239d19', 'f1a9f95ae3c51524', 'c8a2d31ec73e3f80', '7efd5aa344bcb8d9', '88f2eab323acbc74', '0a7cdd7ee8c0d8ef', 'ac6468e16d1eee95', '43b164b5a6011d2f', 'c99fc037378ebf3f', 'f821539af200d4eb', '1cd843069eaaefa9', 'd755b782b6779009']; context = [[119, 149], [127, 153], [5, 32], [47, 74], [21, 47], [86, 114], [24, 51], [4, 32], [25, 54], [17, 46], [33, 61], [30, 58], [21, 50], [10, 38], [4, 30], [27, 54]]; loss = 0.026931 low_pass_filter = 0.370
+Epoch 0: | | 3119/? [30:37<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 3120; scene = ['97b534cebf6de9ec', '6b4aa6e3b092e947', '804c26118696da0b', '546bf84eac7404e8', '6f29d2f4950be336', '11730d25b6f6361b', 'f3dc412274c6c8e0', 'f242147765d4e5e3', 'd92c8e19a59a9a49', '262e288353a8f120', '82e3d222b68034cb', 'ea71db72f882f844', 'cc8083a122ecfcd8', '581c854141592535', '591a55875170ddf4', '9ff86abeed74f7bf']; context = [[42, 72], [51, 80], [11, 39], [9, 36], [9, 38], [27, 55], [91, 119], [0, 28], [20, 46], [213, 239], [127, 156], [9, 36], [71, 100], [33, 61], [46, 74], [90, 119]]; loss = 0.026848 low_pass_filter = 0.370
+Epoch 0: | | 3129/? [30:43<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 3130; scene = ['d5fdbc5fc707f587', '547aef61289e7ad7', '50f863411c708475', '9cf046728c3db4b0', 'a15a553c9850b44c', '06328d0d5cccc46b', '302211facdaf64c0', '89905d291f2f7596', 'e8ca4b0be06b0c74', '8fcae49975dab026', '75ac86500993ad2a', '03781fa53fd2620f', '8096cd3a05638ced', '5d072485524c1075', 'ae17e42ec25a5371', '519f45118757eaed']; context = [[4, 32], [8, 37], [17, 45], [20, 48], [6, 35], [32, 61], [8, 36], [13, 39], [142, 170], [25, 53], [131, 160], [114, 143], [183, 209], [30, 56], [2, 31], [99, 129]]; loss = 0.026412 low_pass_filter = 0.370
+Epoch 0: | | 3139/? [30:49<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 3140; scene = ['ec22f0604d874d22', '8c9c9fd339183118', 'a8035e43949f8e73', '1fbd498843114f98', 'e106d864e50c158c', 'e2511c0663edb8da', '9c3a216fcac55bd9', 'bf22773c03a8d639', 'f2b7726c0dcfc9b9', '6ab424ec50814385', '647f47ee75e01097', '727a60e743d4b742', 'fc727fb767da97f8', '6c74218cfa8488af', '53007e71653c882e', '9f1176b8b75fa7c7']; context = [[81, 109], [24, 54], [83, 111], [81, 110], [109, 137], [169, 197], [6, 36], [78, 105], [78, 107], [28, 56], [73, 102], [7, 37], [52, 78], [40, 69], [19, 47], [44, 70]]; loss = 0.029876 low_pass_filter = 0.370
+Epoch 0: | | 3149/? [30:55<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 3150; scene = ['32ae7fba9602f4ab', '52d22e08d1297ba6', '01c9d8d300256658', '35c5fc80e85db7cd', 'd41d914f1dfffb80', '99f1c2a83be00a5d', '47cd9a752d3fb63f', 'ef4d99ddc59d78ac', 'b3befd39ed25cec4', '03424d8cb042fbc6', '400caa0619a990a4', 'cfe86f4d4e636359', '0c0da13b7c96d15f', '99eeafcbc8fede20', 'ad10716e912419fb', '1d70b5a526ba3459']; context = [[102, 130], [0, 26], [53, 83], [78, 105], [14, 42], [13, 40], [24, 53], [1, 28], [66, 95], [206, 233], [111, 138], [99, 127], [45, 74], [16, 46], [60, 87], [114, 142]]; loss = 0.026524 low_pass_filter = 0.370
+Epoch 0: | | 3159/? [31:00<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 3160; scene = ['5d353287276b3f72', '6c13cc66ae616e9b', '8ee6d91658f575f1', 'ab1a470fd0aa350a', '9388ca301f4e0bd1', '7de38ac4e903910f', '4c7c64719fa77977', '66680f2ffd969227', 'cd42477f8d3ee091', 'b3b8eba88ea7d064', '455ef17251608d98', 'a94cf3b3612d30ab', '2a3b8b8cc1fedcd3', 'b9baabda7e1103c9', '012019df6ff17e30', 'ceeb544dc7e54313']; context = [[51, 81], [1, 30], [78, 104], [137, 163], [10, 36], [65, 93], [63, 90], [34, 61], [217, 246], [15, 43], [2, 30], [8, 34], [120, 147], [42, 68], [25, 51], [196, 224]]; loss = 0.035208 low_pass_filter = 0.370
+Epoch 0: | | 3169/? [31:06<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 3170; scene = ['834e18c30dbe2cc5', '0e0ca1c8d817169e', 'd88b4b2fe304e141', 'ef0615bf71e28966', 'ff66ce41eedc4d21', '38674e38103d5da6', '3cb73cf42139a578', 'df1d3fa0c3580009', 'bb14c9ef294f2eb7', 'c5013e15646dc1f6', 'f8002823df94e9f2', '1059df90c1493f93', '1bf2ad010fbce70c', '1bd19a79fe682e24', '6750ee6f269e3292', '7c09f098aa542eee']; context = [[32, 60], [203, 229], [64, 93], [109, 135], [38, 67], [36, 64], [46, 76], [16, 43], [7, 36], [20, 46], [111, 141], [57, 83], [43, 70], [35, 61], [24, 50], [53, 81]]; loss = 0.026348 low_pass_filter = 0.370
+Epoch 0: | | 3179/? [31:12<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 3180; scene = ['27f2c5d07c2eb595', '5be06a710f3fe6f2', '9f06cf0ba2ddd1c1', 'b14f5a683aba2898', '7418314e76240536', '99953a73e02cf657', '79a0e8398b6a1cc1', 'dd811aac95fe2a28', '5e494fb5e1e7b29a', '210c21e8248a76f7', 'ba6bf49cf0b22c94', '28f763b7b53ee1b7', '80848467f9250e32', 'f79131c37898081d', '5dd74e1b033f8b76', 'd83d52c7f9fe7c3c']; context = [[43, 71], [12, 42], [33, 59], [0, 26], [205, 232], [123, 151], [190, 219], [19, 46], [28, 58], [42, 72], [30, 58], [21, 47], [34, 63], [18, 45], [46, 72], [43, 70]]; loss = 0.029805 low_pass_filter = 0.370
+Epoch 0: | | 3189/? [31:18<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000, ltrain step 3190; scene = ['2cf0df5ede50bd1d', '1f4ff72d26fbd071', 'bedb0dffc6d80b4e', 'f896f057f530ebce', '12d54b02fe9d16e1', '568246aa43b60985', '3ceae7bf233b07e1', '3484cd375bed111c', '2b44e0afdd749c4b', 'cbada5419127d257', '00066b3649cc07e5', '1f9140d0fa42c417', '376b41c875103f43', '0beb4ad764771753', 'f437e5cb02d62602', '58e6dbc7ad022040']; context = [[38, 67], [209, 235], [41, 67], [59, 85], [51, 80], [18, 47], [34, 61], [11, 40], [222, 252], [41, 70], [14, 40], [48, 74], [89, 117], [15, 44], [104, 132], [45, 74]]; loss = 0.026388 low_pass_filter = 0.370
+Epoch 0: | | 3199/? [31:23<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 3200; scene = ['47fe424d80ea8a47', '8a4818ab2308dba5', '52cc0ae108971258', '1346c01a9e322da2', '76467df94b133797', '8acffd95fbf48c10', '5c1ce1faee51a8d9', 'be10e6849ca2240a', 'd4f58eddfca6260f', 'ce019e2e248ec5b3', 'a5b167a51f1d8397', '58ac0ca6ba85ada9', '40d0ba7e188c5151', 'bc30fab0317ce551', '45d1ce034325d8b5', '3c102d1802f820c3']; context = [[0, 27], [12, 40], [30, 57], [66, 94], [28, 54], [167, 193], [16, 44], [7, 34], [27, 53], [15, 41], [8, 37], [85, 114], [18, 45], [235, 264], [22, 51], [25, 55]]; loss = 0.023546 low_pass_filter = 0.370
+Epoch 0: | | 3209/? [31:29<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 3210; scene = ['edbe9338dc896f16', '5ced4e666a0cc232', '52d169d1713624df', '3b8785bae23cbdb8', '47f11c69050ae32f', '77e8495e8c522bca', '9c8c945c02d7bfce', 'f555a2fef0cc9efe', 'c211eafa20d6c2fe', 'e9c5aa0b62318e18', 'a7f60ce61f15c284', '577bae9426456dc5', 'd6fe2b5e5c936c9f', '78f2bb288dfb07e5', '28880239a1b0a38a', '225a3dbc1dc4f7d4']; context = [[0, 30], [98, 124], [25, 53], [21, 49], [4, 33], [92, 122], [36, 65], [78, 107], [68, 94], [47, 74], [52, 81], [82, 111], [34, 64], [0, 26], [38, 66], [219, 248]]; loss = 0.029421 low_pass_filter = 0.370
+Epoch 0: | | 3219/? [31:35<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 3220; scene = ['668193bde2b21db4', 'e79f7d5144234b88', '506c7067b8d54db9', 'd10e440ff0a99a23', '7e4fa483bbb17c5b', '7d1d3e8e7a8d1910', 'b6f25dc2b753e432', '9b64e7208792a0ca', '6b8f32f92dd0e644', '58ba2fd29b6a2a07', '404528c832c55d9b', '95553c6d4a90fc32', '4071f013d607956c', 'dba56f32f3c6cf9e', '8366faf56e918ebe', '1786a3ef14ae7d19']; context = [[3, 29], [67, 97], [13, 41], [51, 77], [14, 44], [21, 47], [24, 54], [1, 30], [207, 237], [83, 109], [116, 146], [123, 149], [30, 58], [25, 52], [61, 90], [117, 145]]; loss = 0.027645 low_pass_filter = 0.370
+Epoch 0: | | 3229/? [31:41<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 3230; scene = ['ca89e36b41581eb8', '26e1218850abd298', '2e4d16122bd76f43', '4c8ecba879bb3eed', '8f5f4cd9432e1c0d', '6475541b77109059', '70aa4a265459a923', '1d67a9e0bedfa5af', '7ce73150f91ec12b', '08fd748d62f03890', '3a962e4e715e65de', '250be6ba44083611', 'fdfa2bdadfc99d14', 'cdfee7021f80e4cb', '9b69d11125244431', '04d30567c2a01265']; context = [[74, 104], [133, 159], [252, 278], [22, 52], [13, 42], [83, 110], [0, 26], [22, 50], [16, 44], [42, 68], [47, 77], [96, 122], [36, 65], [92, 121], [94, 123], [83, 113]]; loss = 0.024080 low_pass_filter = 0.370
+Epoch 0: | | 3239/? [31:47<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 3240; scene = ['621c702a0b425aba', '3770f81aa03183d1', '7ba3a703b6f4cb51', '7ce10711c69048e7', 'fc816755540c7f6c', 'a62dd676f56b268b', 'b5e400c1a722c2ed', 'd49101fb6206fae8', '07debc5f949ea45e', '2a5f0ea759c4a950', 'a5accfa355df6730', 'dda98b150531b29e', '71a67ae4eccba383', '6a350ebce6b44cf8', 'c1e78cf2ffa86d43', 'a152a4b1f19f25ed']; context = [[73, 99], [28, 58], [13, 39], [128, 154], [1, 30], [9, 37], [81, 109], [140, 167], [6, 33], [55, 85], [34, 61], [128, 157], [59, 85], [49, 79], [2, 28], [28, 57]]; loss = 0.026517 low_pass_filter = 0.370
+Epoch 0: | | 3249/? [31:53<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 3250; scene = ['fa5873dc99dfde1d', 'ffadc5456128c7f5', '0a178d6a8d53c07e', 'd3e9fb196b944937', '2bccd3e30dd64180', '2f2c4bd219a3c52e', '5900d44f690b1ac8', 'cd70e539713918da', 'e1488d5d2d21df06', '1b64868112b2ec1b', 'd1a3f6c04d4d3bed', 'feced30301b43ffd', '3237356236c9ee91', 'e870602940137494', 'f564c7789e774725', '9f73234c746c169a']; context = [[29, 57], [156, 186], [19, 49], [138, 164], [118, 145], [131, 158], [17, 43], [129, 156], [70, 97], [4, 32], [159, 185], [124, 154], [12, 38], [2, 28], [22, 51], [105, 131]]; loss = 0.029887 low_pass_filter = 0.370
+Epoch 0: | | 3259/? [31:59<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000, ltrain step 3260; scene = ['7db355afc543bbc7', '85d8b40beee1e26c', 'b7293cc97193f822', 'e754578fd748a51c', '441edf6229a74d10', '3afea6460cfb4f15', 'ac507b8e32118dd5', '1d5b1fd9addc5397', '77e1bb43859700e3', '7bb0a3af8524ed86', 'f75e151b66f83348', 'a90cd28742cee5e0', 'c0b9d76884655dcd', '9f3bcd7cc09b869d', '3cbe6fe0f3f71e16', '5f9e388efa364f74']; context = [[6, 34], [191, 218], [19, 48], [47, 77], [113, 139], [11, 41], [24, 51], [17, 47], [3, 32], [29, 58], [8, 34], [36, 63], [119, 145], [34, 62], [137, 165], [26, 55]]; loss = 0.027197 low_pass_filter = 0.370
+Epoch 0: | | 3269/? [32:04<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 3270; scene = ['99bb3f4e5d3f27a6', '99ea4556246d1332', '49f6473054c58de3', '028310f8d3315419', '15e6c1b0d22b4805', 'c2070584d8687150', '5409ddd120a2e6a5', '8a2bc0855bc6250a', '5a06c5d103cab700', '917b86fdee94c41f', 'e69545e8027887b4', 'fdd9290d4b4b17b7', 'c0dda1a0f92e83d8', '194caeb5100ba382', '8225c5abe7275d40', 'c9625b7ca47d8394']; context = [[23, 50], [28, 58], [99, 126], [61, 88], [130, 156], [29, 57], [118, 145], [142, 171], [202, 231], [45, 75], [51, 80], [3, 30], [3, 30], [86, 116], [96, 125], [2, 31]]; loss = 0.026115 low_pass_filter = 0.370
+Epoch 0: | | 3279/? [32:10<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 3280; scene = ['04db8c95f8e45874', '0f557d18cce96f92', '84391d27c02db624', 'fe53ac06ff2c6263', 'a1ed4a38869106d5', '83aa21503b41e8d3', '693ff6bdb74381f5', '4ceba2c95ef00194', '2f8d95d27a8a0d6f', 'b255c81f5632bb82', '523cf0953b144d3f', '1e4231e309776eed', '8c36ce2987991993', 'c9fba70bcf4d476a', '312e0e2bf77a6dcd', 'e95157a508d02a96']; context = [[143, 171], [71, 98], [76, 104], [10, 37], [100, 127], [10, 38], [97, 123], [185, 212], [8, 34], [0, 30], [62, 88], [8, 38], [40, 69], [76, 103], [99, 128], [121, 150]]; loss = 0.027786 low_pass_filter = 0.370
+Epoch 0: | | 3289/? [32:16<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 3290; scene = ['3d86e0fe4ab16713', '0ca6052024f0dfa9', '9ac5d573346e3f0d', '0a7fae161d399478', '1113e6aede78e6e7', '7c267ee82628088a', '9af5a605a4972f99', '873c3591f993adff', '09dc6ab625b8300e', 'b5e621584bcb03f2', 'b94a189b3b04d1d9', '2d410cc9d20b6526', '306235ebe8d8ace2', '1a72762814407117', '5502f11f9b3165ae', 'ca75f516d7d527ea']; context = [[21, 50], [47, 75], [15, 43], [63, 92], [111, 141], [24, 50], [35, 63], [12, 41], [170, 200], [12, 40], [114, 144], [27, 54], [103, 129], [58, 85], [42, 72], [138, 166]]; loss = 0.026732 low_pass_filter = 0.370
+Epoch 0: | | 3299/? [32:22<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 3300; scene = ['b33007b260b84069', 'b5d3d2acc2fc4c4f', '5fb113f2d6d31f0c', '4c2c34f9f1617bf5', 'e3d4c90b50120608', 'c1b89cd428346e03', '63c4da235fa12a37', '617ca1a7fe197ff6', 'f7748e4b308efdf6', '803603d87459c7ab', '98bce8609c8a60c3', '00b8297bf8e2a9ba', '6d76c97f029b15d2', '80398288f8500b3f', 'a7000ffb637433ee', '24caa3357e419156']; context = [[31, 59], [206, 232], [77, 104], [19, 49], [14, 40], [23, 51], [7, 33], [163, 190], [30, 58], [87, 114], [201, 229], [45, 71], [5, 34], [1, 28], [20, 48], [249, 275]]; loss = 0.023986 low_pass_filter = 0.370
+Epoch 0: | | 3309/? [32:27<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 3310; scene = ['cf8a06270fe5ab88', 'f801016008ef971b', '35d279a61bffe5cf', 'f12074e261728ad2', '036cf5b39576c192', '46aa49dfa42459c9', 'c03c06f0d4264269', '04f87b5042cca6d3', '6225bee54ffadb9b', '65b786988a4bd972', 'd8ec4f596261d122', '4885e6060296deda', '481d9ccec9e340e7', 'ba339e4baf29643d', '0cf3b1b94a39f3d1', '496d83a1617cb739']; context = [[16, 46], [17, 45], [182, 211], [17, 47], [18, 47], [98, 126], [17, 45], [18, 47], [47, 73], [17, 45], [9, 39], [68, 97], [58, 85], [3, 29], [26, 53], [182, 211]]; loss = 0.025414 low_pass_filter = 0.370
+Epoch 0: | | 3319/? [32:33<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 3320; scene = ['9dfb4143918aeff9', '7aa6654b0279e4fa', 'ea39ba8c0ab4573c', '0da284747a8e4755', 'b8b65a8148951827', '9543fcde99db112f', 'd0820968c10c3d0f', '571499e260e393fe', '7cd6ba2e6044e630', '68c8db171dab75ea', '417db333638be420', '8ec047d3e6c67047', 'ade406ba3ca1aa87', '765c6be0dc971f03', '371a69a4c08f16c9', 'a5dbef04d6fa313e']; context = [[56, 85], [21, 48], [159, 186], [219, 247], [212, 239], [45, 72], [85, 115], [77, 103], [15, 42], [95, 122], [39, 67], [13, 40], [37, 65], [33, 60], [61, 88], [60, 88]]; loss = 0.028185 low_pass_filter = 0.370
+Epoch 0: | | 3329/? [32:39<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 3330; scene = ['14aef9a47d9d0adb', '7b28545e0b1de8d6', '00f31074484587e3', '18c9eb6a083050ab', 'ec1288c83e6931eb', '089438611d6bb03f', '05c9807d2a5594d5', '87a3943d9e2ac870', '9a023c2ffb17bd15', '1de4b62d250a54ff', 'b599da50d37c20a8', 'f0460e82a071eb81', 'f427626eef7d023e', 'c4c41548cbe80a57', 'e6d5c31e345f622d', 'c3e7bc3a80c717b2']; context = [[87, 117], [77, 104], [48, 78], [6, 33], [0, 27], [8, 36], [97, 124], [1, 28], [156, 185], [23, 51], [7, 36], [32, 58], [36, 62], [0, 26], [37, 63], [27, 56]]; loss = 0.027362 low_pass_filter = 0.370
+Epoch 0: | | 3339/? [32:45<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 3340; scene = ['7fcb89af08ebffa4', 'aa11e8a13707a575', '9bf17d6915557577', '0dc4a3434a4d2771', '13a718aa677d2cc9', '4aa269e4aa1446c4', '781eee2c4e352391', '9d92037a929272e8', '8020e0b42282ce7a', '64b035cd851d2f46', '589b0dc1fea3fe62', '9ba7ffd700b4159b', '24887cb60eced656', '4ccc05527dea95a9', 'd4d64593d82fa175', 'b1e04eefed95a5d4']; context = [[36, 64], [35, 62], [183, 209], [224, 250], [6, 33], [2, 30], [86, 112], [15, 43], [16, 45], [86, 112], [3, 29], [11, 38], [21, 47], [211, 238], [116, 145], [0, 26]]; loss = 0.023931 low_pass_filter = 0.370
+Epoch 0: | | 3349/? [32:51<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 3350; scene = ['541f5c774d29f7b2', 'd458455ddb3050e2', '4b2e1fbcbc0e5b90', '981db49851a56ffb', 'b229fe07b94f43ea', 'e98d3fe566281238', '3a38031693c62175', 'bc883f3f1d634f9d', '8d08b6d3bb4eb771', '760c4946c9cab2bb', 'a7ff67a70d06f9aa', '2f4344faadf0e69c', '27ca295046fe3369', 'd30c4b8ff4370b24', 'c7fa7cba2aa2da8e', 'ded38d3ae876e8dc']; context = [[2, 28], [0, 30], [25, 51], [6, 36], [45, 74], [4, 32], [62, 88], [35, 65], [84, 110], [22, 48], [22, 50], [15, 42], [223, 250], [47, 76], [47, 73], [0, 29]]; loss = 0.023592 low_pass_filter = 0.370
+Epoch 0: | | 3359/? [32:56<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 3360; scene = ['4b80735474917754', '130496764c4b5eea', 'f7b14fc9fd5ce781', '095367e476cbfd89', '8a6c4732fb05ac7f', '46d5053d66888c5c', '7e709a5a25a8425c', '22d073042c55630a', '505b2853be7ed669', 'a6c1a7d49f216b2f', 'e9feab62e5a92e81', '3f33293df16bfac6', '8c6fb91929e99876', 'd80814e49be57d55', 'bf640a5c37820405', '64d29c9ab21dc5fe']; context = [[121, 149], [43, 72], [121, 150], [44, 72], [40, 70], [16, 42], [89, 118], [119, 148], [64, 91], [22, 52], [0, 28], [5, 35], [57, 83], [15, 43], [0, 26], [4, 33]]; loss = 0.027649 low_pass_filter = 0.370
+Epoch 0: | | 3369/? [33:02<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 3370; scene = ['41dd55f0272aba33', 'bbd13ab6dbffa8e3', '962ca8cb6c781141', '5c04f350d4f1ce76', 'c7e626a8c3d071e2', 'a102f80bd807b881', '89537268739ba071', 'd98d96650581af8c', 'd3b5c826afd6e9c2', 'c03a11a9c493584b', 'b4e0f20e225aed68', '7c797c3d016e8704', 'f5a777195b9d4286', '5182a2a49dfc5bd4', '108ba78f9946d978', '2f8e9839ebd582cd']; context = [[35, 61], [62, 89], [22, 49], [152, 178], [55, 81], [31, 61], [105, 133], [1, 29], [20, 48], [125, 152], [136, 164], [0, 29], [90, 120], [0, 27], [21, 50], [25, 52]]; loss = 0.026647 low_pass_filter = 0.370
+Epoch 0: | | 3379/? [33:08<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 3380; scene = ['5418ed938b5a82e9', '1c55c064cf34ad0c', 'f1ef33d26a5b1bf2', 'c5c352e72df9640b', 'a3a5884addc0279a', '809658c303767e17', 'a7cdd9d5e6221d68', '7068fd93a41de3a9', '5376cc836571e8d6', 'ef37be4851962545', '893cad7c624662b4', '29caaff58a530496', '08f02e7ec7dd69da', '37d8d38f0ac90651', 'aa809e649155f86f', '24a67da9e605b0ea']; context = [[57, 85], [7, 35], [50, 77], [71, 101], [31, 59], [74, 100], [11, 40], [2, 30], [52, 81], [164, 191], [8, 35], [3, 32], [18, 44], [3, 31], [171, 201], [72, 98]]; loss = 0.025584 low_pass_filter = 0.370
+Epoch 0: | | 3389/? [33:14<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 3390; scene = ['28d98116f54e98a4', '6f816a7bd8b4d022', 'cefa3a98399cdf69', '2ef54984d277464f', 'b67ed5e234a5d647', '15802e77cdd75d15', '1362f40738546699', '69a54df0786fadd2', '8f36594b2a863083', '20af62cb11b5732b', '23e956eb11c43626', 'd105006c740c2cfa', '64b50539746fbb31', '53bca77d4e3f85d7', '99a90c9f04f840fc', 'a688345950054137']; context = [[237, 264], [9, 35], [65, 95], [8, 34], [27, 53], [21, 47], [12, 38], [10, 37], [28, 54], [63, 93], [27, 53], [39, 68], [30, 60], [37, 67], [170, 200], [72, 101]]; loss = 0.025055 low_pass_filter = 0.370
+Epoch 0: | | 3399/? [33:20<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 3400; scene = ['652fa0eb49c99e69', '4abac98c209d4fb0', '6ef23c788aae182b', '3eaab1c23dc2de19', 'fe480b077979046e', '73a0e3c1d2b3480f', 'cf9158363c775c65', '1b1433ed317668f2', 'a9d316ab2668c532', 'fcb30c053ac7b011', 'e105aaec07c73634', 'b95b5f13e4749e79', 'c13d77898a35f1fc', 'd6399ff89e69aaf3', 'dc8fa0b29d85fd6a', 'beca98893cda11dc']; context = [[4, 33], [53, 82], [140, 170], [66, 92], [69, 95], [47, 77], [21, 47], [34, 60], [2, 31], [15, 44], [9, 36], [1, 30], [48, 74], [24, 54], [58, 85], [1, 28]]; loss = 0.028095 low_pass_filter = 0.370
+Epoch 0: | | 3409/? [33:26<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 3410; scene = ['0542dc34079ab46b', '419ab2ae0cbcc49d', '83d4cfaeb5d64135', '16c972e36a13d80c', 'd7d21836042ec476', 'f96f815692530916', 'c327f856f0dd4c73', '7e84f5b757150df9', '859c9f522a98c5c3', '7759fb0b4c2719d5', '3ccefee0ded9c4c3', 'bcc710f216eaf9d9', '3851efdbf6c5998b', '859b57a795056901', '374040fd2830320b', 'c79efdec1cdd45cc']; context = [[6, 32], [9, 36], [31, 58], [54, 82], [6, 36], [148, 177], [2, 31], [39, 67], [18, 44], [3, 32], [32, 58], [15, 41], [135, 164], [16, 45], [10, 38], [7, 34]]; loss = 0.027068 low_pass_filter = 0.370
+Epoch 0: | | 3419/? [33:32<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 3420; scene = ['3bf0650c715187ab', 'db04d7442f7d6ef8', '5894b8e2dcc63d0a', '2353677596fbfd46', '0bccdf22914e2e83', 'b34153cb2e3278af', '11269147bec6282b', '33a50acfb174d4ef', '985a81850d13edfd', 'eb25a67b8edf24dd', '99a34d6492f6ccfe', '3888df11c21d4db5', '42c32233f309708c', '3b5ecc7fa7f0597c', 'cd80c587743d9836', 'f15c0a5e2869e61a']; context = [[13, 40], [5, 35], [44, 73], [39, 69], [227, 257], [9, 39], [210, 237], [51, 79], [40, 66], [19, 49], [239, 267], [33, 59], [6, 33], [19, 48], [29, 57], [1, 29]]; loss = 0.027894 low_pass_filter = 0.370
+Epoch 0: | | 3429/? [33:37<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 3430; scene = ['8998f29ac7883059', '9a21fdca2777d0cf', 'cfffd2a07a2b519a', '886fa556f9640a63', '891e6d7d39f1be97', 'd51ac3ee55720232', 'e4204c923eb68534', 'be2f4ab43640d9c4', '983ed363d48f5088', '18b5dfe0eaf3513b', '9dece217c9bfe277', '32ae7fba9602f4ab', '88e69571b9b3b6e0', '9ee7f1eabda78b00', 'c7ee83d8929847ee', 'b7894f3a4d70458c']; context = [[4, 33], [32, 60], [247, 276], [115, 145], [11, 41], [68, 95], [188, 216], [24, 54], [69, 99], [123, 153], [45, 73], [45, 74], [13, 42], [12, 40], [21, 50], [25, 52]]; loss = 0.030214 low_pass_filter = 0.370
+Epoch 0: | | 3439/? [33:43<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 3440; scene = ['ee38665a9d1868e8', 'e9efe0fcc7a09cba', '91ced81093fc5294', '8ef87b7c44d0d34f', '7ccea93d5b39ccc5', 'd8f07d36280784a2', 'b2630399cbc3ba2f', '0095d64160cfe952', '9e785428a4e58006', 'f1597eeb7e5b4850', 'a86a7c2b4e5c98cc', 'f6144e0803cf99db', 'c7f3de0e032928af', 'ef5ecd3ecdba311d', 'd1a73a4f161ca352', '11b82d701e534e7d']; context = [[4, 33], [8, 38], [134, 162], [87, 113], [41, 67], [42, 72], [41, 70], [12, 39], [45, 74], [136, 166], [35, 63], [26, 52], [13, 40], [128, 158], [82, 110], [31, 59]]; loss = 0.031124 low_pass_filter = 0.370
+Epoch 0: | | 3449/? [33:49<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 3450; scene = ['bc374c97598fb019', '92edfb92210ccd71', '607eede38bbe564b', '986540962d8f80a6', 'df02062f22ce3542', '0dcb0cad41a1f81b', 'cb5d90f77cc9f861', '4bede15a09bd44bb', 'adbc22a988340ea2', '5ad0327426e3718b', '0b4748c575a0b84e', '38c67fcd3b8e4f8a', 'f35c7fc7d001fc2d', 'e9e3e7a7b80eb5a4', 'ac2fc17a4de90b7b', '514db696ec759153']; context = [[3, 33], [91, 117], [40, 66], [28, 56], [234, 263], [30, 57], [0, 26], [7, 35], [51, 77], [17, 45], [17, 45], [32, 58], [15, 43], [122, 149], [4, 33], [7, 37]]; loss = 0.024343 low_pass_filter = 0.370
+Epoch 0: | | 3459/? [33:55<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 3460; scene = ['15e466706ad7d02e', '0e57fd444b2125fc', '8fef8355485fa6c9', '2b367141f46053de', '832edf4426f6b8fb', '7ae6a1236289d804', 'c321b34839b61119', '94f12948c13a9141', '2c95162efdfb9d47', '465b88993612ba45', 'd250f5be87c6b648', '0cca6a29009f4302', '91f9896319389ae3', '2fb9ec5355fcfba2', '35ce6f27e3fdc72e', '73afe9702215dae0']; context = [[13, 41], [108, 138], [58, 85], [7, 35], [115, 145], [71, 97], [109, 136], [44, 74], [46, 72], [42, 71], [6, 34], [24, 50], [0, 26], [216, 243], [3, 29], [80, 108]]; loss = 0.027286 low_pass_filter = 0.370
+Epoch 0: | | 3469/? [34:01<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 3470; scene = ['560d05577394de06', 'e7d01fc79de7f1c6', '317b285e38d28b32', 'd095902f17028960', '5ecf126eabe4bf2d', 'da32a7df6d00de2d', '93fc382a94286786', '0339b5d985364b83', '4911e381810b09ea', '248bc6eca693c120', '5e7feb40926004e4', '0979d74fb6229f17', 'ad6996ece8de4321', 'aa43846bd2c5e3bb', 'dca9298d29ad02c5', '651a8ebc3a8b53e6']; context = [[33, 59], [37, 63], [43, 72], [30, 60], [42, 69], [20, 49], [55, 83], [30, 59], [153, 183], [7, 36], [15, 42], [8, 35], [33, 60], [66, 96], [17, 43], [228, 256]]; loss = 0.025526 low_pass_filter = 0.370
+Epoch 0: | | 3479/? [34:06<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000, ltrain step 3480; scene = ['981717c755ee3435', 'dd7eb3fbaa5f4f3d', '95479ca25e2d955a', 'aa2eeecbd664a892', 'f9fac61d6f0f5354', '46646c26665e3f89', '5f443f2595137e9a', '77e47a1640600d9d', '33e9961fed513e93', '12c4de84fb2e9389', '3adc7187799192e1', 'dd4840f0d5227d5b', 'b26c283893ad48bd', '0f3c41decac6e826', '34aa700b2c35219b', 'e98a769801fc68ae']; context = [[28, 56], [141, 170], [50, 77], [30, 56], [30, 58], [42, 69], [48, 78], [18, 46], [57, 84], [55, 84], [12, 40], [6, 33], [63, 93], [126, 154], [158, 184], [77, 104]]; loss = 0.027274 low_pass_filter = 0.370
+Epoch 0: | | 3489/? [34:12<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 3490; scene = ['254d6c6b8f9508d0', '6be67867ef006e73', 'ca1aa5c83f9fd74b', '5ecd4f2761d9877c', '5e4c7d3038be2c01', 'f2685cf241827826', 'b13f185b7aa9c6b1', 'e45c9f66012ef731', '0b13ca88611e6d29', 'e90120b06bda46b1', '133fe9e870ccf334', '4b586a8cb868c878', '070a524bacb9aa38', 'bbed62fff468df37', 'ee03755cce11b682', '5645a008715acf0a']; context = [[7, 33], [80, 106], [61, 90], [182, 211], [24, 50], [28, 54], [100, 130], [14, 42], [33, 61], [49, 76], [3, 32], [102, 132], [203, 232], [68, 96], [32, 62], [16, 42]]; loss = 0.028214 low_pass_filter = 0.370
+Epoch 0: | | 3499/? [34:18<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 3500; scene = ['cf40de219c17f028', 'dc82bc53272d4f60', 'bdf3c546187a5a9b', '055ecd661c01319c', '94b3131d49d0062e', 'c639a14f7f9b90bc', 'a10c13e7b3ca2739', '251b033c6bbb0256', 'e694c343f4b5bf59', 'ccda7bb9dfce5c1d', 'f5e3b37b1b2b5f62', '860dadf8da924a9c', '5ee9b11a61c46984', '67144be03a04c9c9', '32701c869bd8dfb8', 'afc173cc0972dd2b']; context = [[75, 102], [51, 78], [249, 275], [129, 157], [57, 88], [40, 71], [72, 102], [81, 110], [6, 35], [209, 240], [43, 73], [8, 37], [73, 101], [17, 46], [139, 166], [158, 187]]; loss = 0.025247 low_pass_filter = 0.370
+Epoch 0: | | 3509/? [34:24<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 3510; scene = ['ad0c472a7098fefa', '6a39adec2fbbfc65', '1706984ae313246c', '760be559ffae409a', '6a12202c0ae9922d', '612fda0cd3a9c671', 'ff851fc7ca0be611', 'f7367cd6a5abce2f', '9d6a76da27e26178', '6d252b311034447b', '8a4184299dfdc112', 'c37ab28939776122', '2c50c042a0695e1f', 'bcb68900df3fb3c7', 'ddfe9ba63e6d372a', '7a8d8426e0d1c1aa']; context = [[12, 40], [15, 43], [35, 66], [14, 42], [57, 87], [29, 55], [72, 99], [69, 95], [29, 59], [2, 30], [23, 53], [64, 94], [1, 27], [8, 37], [44, 70], [27, 57]]; loss = 0.026579 low_pass_filter = 0.370
+Epoch 0: | | 3519/? [34:30<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.000, ltrain step 3520; scene = ['926a4f3af9386f6a', 'bd781c735a39b252', '313139806de65869', 'f6eb748a01065695', '86cfe990f194bb9f', 'eda827d23766de0e', 'cb17460c2a53d3d3', 'e9e020c514404b0c', '985e2ea54fcdc17f', 'e567c08401dda8a7', 'e6910569bc347ba2', '73d0cc9f88dd47a4', 'ea19ed13b8a7a176', '50ef002b71b5df22', '62072e1ce4a3a351', '713dbc9bb40ccc99']; context = [[57, 84], [10, 40], [31, 62], [18, 48], [40, 70], [4, 34], [10, 41], [35, 65], [18, 44], [20, 48], [82, 111], [5, 31], [9, 40], [20, 49], [20, 46], [60, 89]]; loss = 0.027226 low_pass_filter = 0.370
+Epoch 0: | | 3529/? [34:35<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 3530; scene = ['ef7970fd2100bdb8', '9324c5bfc27dd743', '951010da4cfe2107', 'b53b27fdad29cf8d', '8ea612b69d6a5c8d', '5a92a34a2fe87f92', 'e3d18e965536d2e1', 'ea4ee011c4990615', '3eaf106eb5c0841b', '58e6dbc7ad022040', '2b44e0afdd749c4b', '3484cd375bed111c', '855879ba909279d2', '376b41c875103f43', 'f01d7cd82b3f1bed', '5873dcd08c6e877f']; context = [[100, 126], [83, 110], [0, 29], [187, 215], [141, 168], [3, 34], [248, 277], [8, 35], [0, 26], [4, 30], [177, 208], [10, 39], [81, 107], [25, 55], [31, 58], [13, 39]]; loss = 0.025500 low_pass_filter = 0.370
+Epoch 0: | | 3539/? [34:41<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000, ltrain step 3540; scene = ['747f7495c69627d1', 'd712b44c6c37d8ef', 'a4ad4c53ae9869d4', '4f7a2a6848e175eb', '082c89448fae34bb', 'e09ea18dc8f5e04e', 'c5b58ed9710abee4', 'ac8b3ea31c649bf0', '5197f4fc56c524cb', 'afbab9bc6b38ec6f', 'dc4e8a0ec023a5c5', '2a3ad705b43476a8', 'd422e6d19f76b87b', 'cca68d35dfb27a88', '3ac23dbcb3d6a123', '8cc038af90759ae9']; context = [[142, 172], [231, 257], [5, 35], [38, 64], [31, 57], [0, 27], [35, 62], [68, 98], [49, 80], [63, 89], [5, 33], [79, 106], [55, 83], [5, 32], [51, 79], [70, 96]]; loss = 0.028545 low_pass_filter = 0.370
+Epoch 0: | | 3549/? [34:47<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 3550; scene = ['56a72d430a8dd9e0', '84607653a6a8b121', 'b44df40a0d74a4d5', '3712214aed3882fb', 'f4cfbc87ff95b92d', 'a0e1d0d42838d44d', '9fd8a9831baf651d', 'eec481a022f9e86a', 'a24e8ad5010be329', '1d7ad8c6900e7af9', '74a1a4637c7f405c', 'e217a44b9eec3221', '06966b2259fb3aa5', '61be2551bb51d4a2', 'd4e738e6d2dfc2ca', '84c770dab9552672']; context = [[10, 37], [30, 60], [84, 114], [46, 74], [6, 33], [146, 175], [20, 49], [60, 86], [177, 206], [10, 37], [80, 109], [70, 98], [30, 59], [6, 37], [185, 215], [46, 72]]; loss = 0.027699 low_pass_filter = 0.370
+Epoch 0: | | 3559/? [34:53<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 3560; scene = ['74ea79b22a813a76', '9d91b5a77ade5f52', '8278552315c81e9e', '7c83483b90fc9931', '5bb9a63359cbea6b', 'fde1265e660fc501', '6e2d5cc153138456', 'e36928d0d1da0647', '1fbf76f3380399ca', '503d11e898c93715', 'bc4ff1e97739a672', 'db6869ef0710842e', '5133ba1799428d78', '7f656223fcc8913e', 'a588e1cebdfb4b13', '5cdb1885cfb02fc3']; context = [[5, 36], [94, 124], [0, 26], [36, 65], [49, 80], [28, 55], [12, 41], [154, 185], [59, 86], [86, 115], [20, 48], [123, 150], [194, 225], [131, 159], [194, 221], [104, 135]]; loss = 0.024119 low_pass_filter = 0.370
+Epoch 0: | | 3569/? [34:59<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 3570; scene = ['a07efc76f8c1e3c1', '0b1944b1272128df', 'bf3e9ddc696efbc7', 'dce67bdf972fe9c3', 'b712b3811dd7e165', '17b88c14a727ba51', '362b3e11a4f3d6bc', '8b3780acc3a50b68', 'b6d22d6bd307cc90', '4af0acc8924f8df3', 'b7b258cdbcf3f630', '756a0a00121f53d3', '9687e70e5f4eed37', '214c29d12940696a', '1ea972dad8710e4e', '6f515f805a3d2848']; context = [[124, 150], [185, 213], [21, 48], [0, 27], [83, 110], [2, 28], [39, 70], [146, 175], [137, 167], [12, 39], [144, 173], [3, 32], [72, 98], [28, 58], [42, 69], [94, 124]]; loss = 0.027567 low_pass_filter = 0.370
+Epoch 0: | | 3579/? [35:04<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 3580; scene = ['f27e91e65e423f6f', 'f4b7929261ffdccc', '43b71e076982a21b', '096e540f66383e76', '24f5ad9c96469938', '2a1c0e06ea2cc146', 'faa09c4a4bb3844c', '20538de137dec3a0', '5817c488b6a26b87', '2ffd5c936053835b', '1d1753bbd2cfdeab', 'f14b4f2c965bf299', 'b1ade16c01675828', 'c102e9397a7598c5', '13f1750202277c01', '0c2960b2659abe55']; context = [[84, 115], [177, 205], [13, 43], [142, 168], [128, 155], [4, 30], [192, 218], [96, 127], [23, 52], [161, 191], [26, 54], [28, 55], [126, 157], [6, 35], [1, 32], [4, 34]]; loss = 0.029561 low_pass_filter = 0.370
+Epoch 0: | | 3589/? [35:10<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 3590; scene = ['d8e286da30daba52', '61b1d777f52e4daa', '41e65eba2ca116ef', 'd93481fba83bd8fd', '175e51612f25a50b', 'ddddc748525fe644', '1dcf6e20bc53dd3a', '51bb0c8ae922384a', 'bc511cc4f1d7233f', 'a9883648d75c17d9', '93b5d419e723bfc1', '0ec72b6e6953a36f', '7a244e6ffc814898', '5ab0e29d67fadaf2', '0ab1a55e644c522c', '51cea299a0fa2ead']; context = [[2, 33], [232, 261], [33, 64], [20, 50], [31, 62], [134, 161], [7, 37], [131, 160], [50, 80], [16, 42], [12, 38], [160, 186], [10, 39], [87, 114], [19, 48], [48, 74]]; loss = 0.029521 low_pass_filter = 0.370
+Epoch 0: | | 3599/? [35:16<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 3600; scene = ['a40fea86a599c60e', '7aee80abe39c7d03', '4a0419479a29e5a7', 'dfddc9d209e8f281', 'aa2c76bb749d111e', 'db84f84b1d775bb8', '89cc333342232a19', '9929dcc56e6ade90', '07916b8004a8e336', 'bbbaa99ab329087f', 'bbbae78d877d5312', '63eb524e44eeafbb', '869ed5a2a273e8fb', 'b83838c091a3d1fc', '479eefcf1307684b', 'f24a6c3df94a093a']; context = [[26, 55], [84, 114], [61, 89], [28, 54], [199, 227], [1, 30], [127, 153], [41, 72], [48, 75], [51, 77], [23, 54], [43, 69], [9, 38], [10, 38], [115, 145], [23, 49]]; loss = 0.026653 low_pass_filter = 0.370
+Epoch 0: | | 3609/? [35:22<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 3610; scene = ['0828e4ae23eaca23', '4109501e6b924539', '131a064a5ab68a39', '154ffc3f70fe9019', '00e735135acbf78d', 'c2a910981ea58dd6', '14464e9cd85e72bd', 'fbc2ebad8df77f1f', '103792bf6a24849b', '2c4bf4c81f761386', 'ac030ef563710103', '0bcbfc72bbc9cf7a', 'dd2917211969e260', 'ddb60a2851cac605', '1f700e5ea08df281', '2504c4c9dd301ee6']; context = [[87, 115], [21, 50], [6, 35], [5, 32], [173, 203], [32, 63], [72, 98], [90, 117], [142, 171], [171, 198], [115, 141], [131, 159], [111, 138], [104, 131], [0, 29], [1, 30]]; loss = 0.026014 low_pass_filter = 0.370
+Epoch 0: | | 3619/? [35:28<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 3620; scene = ['a10772e4b4398eb6', 'eb7fb058c14b7c07', '6c85736769aae887', '232eeca687ce1f7e', '31f53697b7d8b2a9', '6ec99924a97ed7f5', '66d4652ef890ce52', '9075825add4e7443', '1a9c15997a0d552f', '85e72acb202e93c4', '7effa2a1152eb398', '4ff83ab9e59ad015', '5ec193c4b6b33e08', '15edaece260430f8', '4915b25efee9ee1b', '9373238177cc285b']; context = [[172, 200], [19, 46], [75, 101], [13, 39], [63, 90], [17, 48], [26, 55], [110, 136], [45, 71], [38, 67], [98, 124], [33, 61], [21, 52], [3, 32], [76, 102], [98, 127]]; loss = 0.027368 low_pass_filter = 0.370
+Epoch 0: | | 3629/? [35:33<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 3630; scene = ['802a2c4f1cdd375a', 'aabafe6563b3cf60', 'ff531e6e82b576f0', '32e454614f4107b1', '758bbd2e1358d28e', '2a1831b328268345', '2bbe015bfbec987b', '475f76d77a5bbf1e', 'e6d9e5c4d1e6eac0', 'b69737f8793f8741', '20cf95b75308876c', '0129bec473cfcae2', '586168cbb8fd4583', 'ba6091fde6e9ec9d', '7d72b709f49b961c', '8992132d8d60091b']; context = [[107, 136], [94, 125], [2, 32], [1, 27], [38, 69], [7, 34], [10, 36], [100, 126], [135, 166], [62, 93], [75, 105], [60, 87], [9, 40], [143, 174], [0, 30], [9, 35]]; loss = 0.025172 low_pass_filter = 0.370
+Epoch 0: | | 3639/? [35:39<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000, ltrain step 3640; scene = ['2486fbf81f40c372', '4ee47d2221d5b867', 'd8ba8a4fb9c1c2e0', '95580012eee0db9f', '13eeb9d14b8f8449', 'd3bd7c9dac07234e', 'f593268320ee867f', '6ea02e383f1fd00a', '9d33bdd88ce8ec85', 'a2bb6c32f99a15ca', '0ba72677f1ca28b7', '2876315f35920644', '4e198c03cfd20936', '4456801bad039b03', '4b0fdf86c6cac027', '311798fdc9ad0489']; context = [[5, 31], [18, 47], [37, 68], [50, 81], [11, 40], [19, 48], [128, 156], [144, 172], [133, 161], [3, 32], [17, 45], [25, 53], [19, 48], [119, 145], [5, 36], [8, 37]]; loss = 0.025813 low_pass_filter = 0.370
+Epoch 0: | | 3649/? [35:45<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 3650; scene = ['52ebdccbea335ddb', '68dfe6f012c000bf', 'd31fda70072d0447', 'ef9c07a7293555b3', '4302f3576310e376', '160eab244cffa6d4', '38a063c486d1e94a', '2a512828633957b5', '0c9bb46be874cb45', '07c292c4e24e752f', '7cfac1c5c75d8cb2', '91569ae4b2a46efa', 'fe76916bbbcc9bfd', '9364344ee7f3c7e0', '6859d00d1fc05309', 'cdad2b86094189ce']; context = [[55, 82], [185, 213], [1, 30], [54, 84], [61, 90], [11, 40], [46, 75], [82, 111], [228, 259], [125, 152], [9, 35], [16, 45], [7, 38], [77, 108], [2, 28], [22, 52]]; loss = 0.023577 low_pass_filter = 0.370
+Epoch 0: | | 3659/? [35:51<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 3660; scene = ['d510619771b2dbb1', 'ebfbb2432fcbeec4', '440db3635ed46037', '24b9f1847fda83b7', '0e3e75ce2921bc9b', '2f9d71971c4c8af5', '713acc9de50a122e', '855e59a8017718a3', 'd470875e58c39c58', 'a352fd5d80869b72', '7bcf3d2dab7bcdb7', '18ef7c53ea187ec3', '2b6d2569e7101687', 'b8bc2b9db71e5440', '35df14b863fc5941', '9603b71f48db69c4']; context = [[34, 63], [178, 205], [138, 166], [3, 29], [63, 91], [129, 159], [39, 69], [215, 246], [40, 70], [40, 67], [22, 49], [39, 70], [39, 66], [0, 31], [240, 269], [26, 53]]; loss = 0.025249 low_pass_filter = 0.370
+Epoch 0: | | 3669/? [35:57<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 3670; scene = ['ecd30ae03ed0d83c', 'b3f91493d517c541', '6f71a871b4f9d1f9', '9dba44b5af1b05e9', 'bf6a177f21bf8657', '7f1f3578729394b9', 'bf4bbf858718317d', '140b10a4f6bb5aa5', '9a5201a21290371f', 'a994d244f04785df', '100270e080fe5b87', 'e25329240a498e6e', '11094b4b71a9ab00', '82df5c0953501417', 'f19f3a8c609a931e', '27027861652c32c5']; context = [[39, 65], [81, 110], [59, 86], [2, 31], [0, 26], [20, 48], [118, 147], [36, 66], [179, 205], [68, 99], [73, 102], [54, 80], [64, 95], [163, 190], [44, 75], [206, 236]]; loss = 0.023688 low_pass_filter = 0.370
+Epoch 0: | | 3679/? [36:02<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 3680; scene = ['6eab0e0fac67fbeb', 'f47ef501676c8d55', 'ccbd1158c0818333', '70e9f9b109005879', '3f7a0be32e85cce3', '31e3f6fe7dedfb1b', '5f9a86b7e44253fe', 'b818d1ecf495afe1', '5792c9e2e44b905f', 'e28995b255868344', '4bb2c640159a3265', 'ab11edbcde7de99d', '384a13e1cf19daaf', 'dd6c60a1cdf29b78', '62e6b50e1a7d0800', 'a07cd9102956df5c']; context = [[12, 38], [10, 38], [2, 28], [114, 144], [38, 69], [46, 72], [19, 49], [51, 81], [47, 78], [78, 109], [28, 58], [45, 71], [122, 149], [4, 34], [23, 53], [57, 83]]; loss = 0.031793 low_pass_filter = 0.370
+Epoch 0: | | 3689/? [36:08<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 3690; scene = ['2789ee0911a1051d', '258faa796752b8a5', '341407721bd3c087', '458d21bb1a5b0ee4', '5f2afc1d28e9e5fe', '855317e00d04b805', 'aeba1b856b9b31b5', '3a2d3179b9f99ceb', '597d60ecb260ff43', '519058643b9ade30', 'c3079f4e3e429796', '7fd95569d89137e8', 'e624690ec09722fb', 'f0d66da33527fd25', '9ed7375d50f00a3e', '0418bc556c8c2d2b']; context = [[9, 38], [38, 64], [69, 96], [67, 97], [50, 77], [14, 45], [4, 33], [53, 80], [113, 143], [128, 158], [0, 31], [11, 39], [0, 26], [10, 37], [115, 145], [1, 30]]; loss = 0.027538 low_pass_filter = 0.370
+Epoch 0: | | 3699/? [36:14<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 3700; scene = ['531eb7346128999d', 'b12711bf04626950', '82524d5eded08a37', '9319398a68309ed5', 'f62db2ed14851eed', 'add0de603feccc08', '43088ea31b0f788c', '848fad475b825e34', 'ab0d3321102f7d32', '7acd20c044711b32', '319d3690254625c2', '8a43bf70cb04d4e9', '35b2621e28c44be4', '0a9fb4ad75ff12f3', '9a76d28513b6fdc1', '8f8bf7e5e249ce29']; context = [[74, 100], [66, 93], [118, 145], [45, 72], [13, 41], [38, 65], [8, 38], [48, 79], [11, 42], [4, 33], [53, 82], [27, 58], [42, 73], [55, 84], [36, 64], [96, 127]]; loss = 0.025813 low_pass_filter = 0.370
+Epoch 0: | | 3709/? [36:20<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 3710; scene = ['8ab897ac46529944', '6db5c1f70f5e923a', '383309103a11809f', '7f76f2a8f269ce26', 'ecf4d3591c9be207', '3778b53f38a910e9', '084b8ccb7a5b5de5', 'f6968d2c29ac163b', '05c3847f099df6ef', 'c8c7838b773c8e6d', '008b073e9b710630', 'b92f865fbde65b1d', '10542b29d3d73bfd', '8dbf79bf8fb56328', 'f81c46fec218b506', '9ac8241a27b0ec6d']; context = [[51, 82], [9, 38], [42, 69], [5, 33], [43, 70], [0, 29], [23, 53], [202, 229], [29, 55], [86, 113], [56, 82], [0, 26], [109, 140], [52, 80], [116, 143], [36, 64]]; loss = 0.027406 low_pass_filter = 0.370
+Epoch 0: | | 3719/? [36:26<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 3720; scene = ['26efd89887fea30f', 'a41094637dd10a17', '799f56aa23cb6daf', '7b84a9e2e7d8aa2c', 'b28a42fc48ba53d8', '1adf1217ee3b7ebc', 'c6f898024324352c', '7816d1ccf7f11523', 'cc71ef1d3925caa8', '3418a78f3023129d', '8d6927aa2b7c5640', 'c9a6d9d29fa20b08', '51f80353f6008c4f', '72cdd65567fa4c64', '11db2e14d64c1b42', '12048355d2052d78']; context = [[8, 34], [12, 39], [56, 87], [16, 44], [6, 35], [45, 75], [196, 225], [102, 129], [65, 95], [6, 34], [4, 31], [8, 37], [160, 191], [65, 96], [207, 238], [63, 91]]; loss = 0.032106 low_pass_filter = 0.370
+Epoch 0: | | 3729/? [36:32<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, ltrain step 3730; scene = ['c17c8f9dca224201', '810b4b66938d5d60', 'a4a5f77ac927b7b8', '4dab27a15daad726', '3ac8f1175e70c73b', 'fa0b600ac32f3ed3', '2a06f123c668d541', 'fdd8bff495a35d3c', 'b3b7e186efcf48f3', 'dab76f9e8cf74e13', '04f7f3db54b4e2ee', '8950913eab2e5928', 'b7884ce2812d35b0', '58d5ffd3dd7497ba', '19db4d803976bac3', '48e7f971e373b6fb']; context = [[2, 31], [9, 40], [17, 46], [23, 51], [116, 142], [128, 157], [184, 210], [4, 35], [61, 87], [79, 109], [33, 59], [7, 36], [76, 107], [16, 42], [22, 52], [0, 31]]; loss = 0.026208 low_pass_filter = 0.370
+Epoch 0: | | 3739/? [36:37<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 3740; scene = ['0dea6d4d1d31c4df', '9b6640a5fd61ba73', '52d066afbd70230c', 'dd0ebd35e7a477a9', 'bb753c83df751766', '285a5ff4cd043e2b', '258d0991293a33d8', '7adf869eb170f616', '045a00b4448730ad', '57c0f11046ecaace', '33778a1390b5382c', 'e0df7342222206cf', '674b0b8d7a33588d', '4145ecb599693b8f', '562f4e6ffc1fa73a', '6405e2d406e1b757']; context = [[2, 31], [78, 106], [9, 40], [132, 163], [14, 45], [99, 127], [7, 36], [8, 39], [59, 87], [29, 58], [37, 64], [50, 80], [30, 57], [115, 143], [102, 132], [83, 109]]; loss = 0.030163 low_pass_filter = 0.370
+Epoch 0: | | 3749/? [36:43<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 3750; scene = ['f9103aed764ea89a', 'db7ac6d0820ca218', '533cb55bb055a091', '810ca4a521c99a9c', 'b42b22573199daa9', '63eb40febb2ebcab', '6c80a41558b9ec47', '13b6710151705fe7', 'f232875a1de60562', 'ec7ed53eb54e78c7', '30e7593c9da6a201', 'f5d3c55f34f74cec', '9ba631ec8a1568d2', '2c78821e19bd4ab6', '071373b20ca8de21', '390fce4d1f115207']; context = [[209, 235], [3, 33], [5, 36], [48, 75], [5, 36], [0, 26], [27, 55], [46, 76], [45, 73], [127, 153], [9, 38], [36, 67], [211, 241], [11, 41], [67, 97], [86, 116]]; loss = 0.030036 low_pass_filter = 0.370
+Epoch 0: | | 3759/? [36:55<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 3760; scene = ['516b59544d9c9086', '4ac2729ea26878fe', 'da593472b1bbbb15', '41962a5fd8fca53a', 'c544bcc5c3f750e8', 'baec6e288417e039', '84d0bf1c2891bb2f', 'cab0d99928db8a1b', 'bec9aa809d6beee0', 'e8df730db8e13ff0', '625ea47516e38745', 'c6ae39de68a36714', '2f0ada251c31a62c', 'c5a29b91c95fcfc2', 'c17186792e856d1a', 'a888e37fa9a444a3']; context = [[3, 30], [231, 258], [3, 29], [78, 105], [81, 107], [8, 35], [2, 32], [200, 230], [127, 155], [0, 28], [145, 172], [22, 48], [201, 229], [6, 35], [47, 77], [7, 37]]; loss = 0.025178 low_pass_filter = 0.370
+Epoch 0: | | 3769/? [37:01<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000, ltrain step 3770; scene = ['7e7d3a5c94a45d03', '792916e996ce2136', 'a75e410b243dbdd0', '46e5a4d61907f704', '7fd4e9cd7ee235cf', 'efe93ae11b0ccdea', 'd0a5fe02748fc75e', '8c68653f00f6d17f', '293fd741a4b1418f', '910ea84fe04de798', 'f3c989f55510b54a', '1104b859ab561a91', '8ce487e5f7832de1', '33e2078934da463f', 'c932900554a3875e', '6f8dd2aaf516843b']; context = [[45, 74], [21, 51], [19, 46], [7, 36], [72, 102], [45, 71], [51, 82], [238, 264], [3, 32], [48, 75], [63, 90], [185, 216], [11, 40], [20, 49], [14, 43], [40, 71]]; loss = 0.022528 low_pass_filter = 0.370
+Epoch 0: | | 3779/? [37:06<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.000, ltrain step 3780; scene = ['924787511c18e2b2', '6b9797fcd88ebd20', '9293552a4fd9e9b8', '7a5fd57c88fc4639', 'f88b8dd03ece49f4', '9668c5dabb3bbf42', '1f3a3b6b8c8fe71b', '9dee12bbbc94f8da', '278b575af13ed26d', '858c4ebf687903ab', '3bf6279c60b66955', 'd2d2a0c5dc46dad2', '32f50ecd874ea438', '3834a10943f0f7fc', '3c1fd0ea246ce388', 'd99560f0aa44a3d8']; context = [[91, 118], [35, 61], [78, 107], [57, 85], [25, 56], [51, 77], [145, 174], [143, 171], [15, 42], [58, 86], [6, 37], [6, 37], [1, 27], [145, 174], [139, 168], [62, 89]]; loss = 0.026908 low_pass_filter = 0.370
+Epoch 0: | | 3789/? [37:12<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000, ltrain step 3790; scene = ['2ca7a809dda33d8e', 'a2ad27ccbfaa3a52', '7e72a2e96b39c149', '3ffc4b7822281c60', '825d0b6a944ea867', 'b811e125c84adff1', '575b687507b7dba2', 'c83f30711eab9426', '58295ed45e177355', '81a60582d7390e95', '82c68ae3dff8ccca', '1d48beb841b5ecf6', 'fa2a932e44e424b0', '89bd3feab45c5455', '0e96455ada37fdf7', '0e3a56fc6fa4f79d']; context = [[174, 203], [81, 108], [78, 107], [17, 48], [26, 57], [159, 188], [33, 64], [1, 32], [146, 177], [33, 61], [48, 76], [123, 150], [107, 138], [46, 74], [34, 63], [63, 91]]; loss = 0.029342 low_pass_filter = 0.370
+Epoch 0: | | 3799/? [37:18<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 3800; scene = ['d6a97f5d2988757e', '90f1b2ef803358d1', '12c95526a738c719', 'e141faefbd36799a', 'fba66650318c0534', '55bc5c2ac085ff36', 'd2739cd7ec4f2ac9', '868ff2e3f4d67849', '3ad2b7dfad207587', '775eeabe0a3a5d16', '65d8a439ddbae342', 'e29aacf03cf0a476', 'e54340dc6d0ff20c', '9c711cdbbcc89a33', '98a0969d2e61aabe', 'e6b9870c1dc02f8d']; context = [[74, 105], [78, 109], [0, 31], [32, 59], [16, 44], [129, 159], [36, 67], [115, 146], [60, 89], [80, 109], [29, 59], [176, 205], [19, 49], [2, 29], [217, 246], [17, 47]]; loss = 0.028177 low_pass_filter = 0.370
+Epoch 0: | | 3809/? [37:24<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000, ltrain step 3810; scene = ['771c99720c383982', '1fe4a6141969e60a', 'fceff078ea39c8b4', '74e22e2724cb0a9b', 'badfd7edf4b25b37', '856ff8cdb67ce060', '17a43ba9a8843508', '509210a9f0f87e8f', '42b2dabdc5ea4d93', 'cf0f25dfe419c0e5', '7c69c188f3918906', 'c5e7242756e6bdfa', 'ba57ad8ee0354f53', '71184096bdfa36c7', '2fba1210e43813a9', 'e3152b1ff94c2e15']; context = [[16, 46], [17, 45], [30, 61], [177, 208], [117, 148], [142, 171], [63, 94], [80, 108], [46, 73], [23, 51], [67, 98], [237, 267], [48, 77], [38, 65], [36, 66], [18, 47]]; loss = 0.025837 low_pass_filter = 0.370
+Epoch 0: | | 3819/? [37:30<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 3820; scene = ['5fdf8298e3d56d54', '5e9895eb77a9605e', 'a4abb1cde2e10cdf', '1b3dc910197fba0e', '6e5d576038f561ed', 'f12f544ed5df8605', '820ec17b78ae0742', '325dd995f2faad68', 'd2f54cae2fa4f018', '3cb3ebfde019ef1b', 'd6f9e33e0fe362f8', 'b32f3bf5cb7a30b5', '96c16a0964ddf0da', 'c73842111303a312', 'cc35f8878cc75987', 'f8001b9bdabb0591']; context = [[7, 36], [106, 137], [26, 57], [141, 169], [42, 73], [4, 32], [42, 69], [36, 66], [3, 31], [188, 216], [3, 30], [25, 55], [22, 50], [36, 67], [31, 59], [22, 50]]; loss = 0.027983 low_pass_filter = 0.370
+Epoch 0: | | 3829/? [37:35<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 3830; scene = ['511207c07d553599', '2dee81e96f68d0db', '8fbcdc76964a6907', 'cff1b98f34078617', '4e9a4eb391a70e56', '935ee686ff5710e3', 'cad624fb40c7edd8', '57286b4f46df727b', '20d14025efeae3d1', '711a29d5a720879b', '727208bc2af4c8a2', '72170a18169c6639', 'd076b7ff97adeb55', '3d65137d93eaf370', '8bbd9f527f5b290a', '5afe72928b27eaf1']; context = [[12, 43], [3, 33], [137, 166], [26, 53], [83, 111], [64, 91], [169, 200], [17, 45], [48, 76], [19, 48], [28, 56], [55, 84], [77, 108], [22, 49], [18, 48], [63, 93]]; loss = 0.027885 low_pass_filter = 0.370
+Epoch 0: | | 3839/? [37:41<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 3840; scene = ['a83198758eb70f2c', '8875c0f7c6023c39', '5cd70a367b77886f', 'df26f9fd26fb6672', '7f216855367cb4b7', '1fbd8e59c0deb4dd', 'cb8c7b357794bf2f', '607275d6a83af10f', '498d6f0a19e96dc9', 'f5ae7c1332a2ac03', '0d6a36107a563e08', '15dbec007a2cf25d', 'd1bef97ae907d002', '6f62c78d5d1dea0b', '6505566f83e56f3d', 'ed73d167cd9bb9e8']; context = [[50, 79], [36, 64], [48, 76], [39, 69], [62, 93], [182, 211], [47, 74], [9, 39], [36, 65], [37, 68], [21, 51], [12, 41], [135, 166], [4, 31], [104, 131], [212, 241]]; loss = 0.029875 low_pass_filter = 0.370
+Epoch 0: | | 3849/? [37:47<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, ltrain step 3850; scene = ['12adbd00ee2b3fcc', '12a8561544c97948', '109be21e1df549ed', '072ca8802c0424e4', '30eecf21955226cc', 'bb63fc0162dc10d5', 'c41e1ed39da70573', 'df30479d7cd20d79', '7a2b3c953d211969', '44c5d8459773f57c', '948c921929ad168b', 'ea77fcbd26a790af', 'b99cfd85b151c0db', 'ad88a6a2918af1b5', '47f634b114a3b671', '8809f54c9198fc91']; context = [[60, 87], [8, 39], [148, 178], [0, 29], [151, 181], [175, 202], [46, 74], [37, 68], [89, 120], [37, 64], [68, 96], [38, 68], [70, 100], [17, 45], [70, 99], [81, 111]]; loss = 0.027903 low_pass_filter = 0.370
+Epoch 0: | | 3859/? [37:53<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 3860; scene = ['e21b4e75f77765c5', '9241c3ab4b558671', '8833a34d9a034495', 'e94371dfe35d248c', 'bc521d4b43740651', 'dc7460e98b4f2f1f', '2a7e2f0d4cdc616f', 'd05247944f04d2fc', '28e3c9a4261b68cf', 'a60a2e4385f361ac', 'b6c080c0457896b1', '4b2d80c510bb8088', '4609cbd1d6254985', '73341b79eaf41f6a', '75360b350aacca61', '0ebbdd2d2ba475c7']; context = [[78, 108], [85, 112], [11, 42], [8, 36], [28, 56], [26, 53], [40, 70], [153, 184], [14, 41], [80, 108], [3, 33], [3, 30], [6, 34], [11, 39], [24, 52], [38, 68]]; loss = 0.024800 low_pass_filter = 0.370
+Epoch 0: | | 3869/? [37:59<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 3870; scene = ['8a287cd8d977e84a', '1ff7f4b8ac696e34', 'ad66977725bc0401', '2a32ff1118f52fb7', '1355b7884090c3d0', '78dbc8c7b542378d', 'c10b4020a9263a81', 'c3e699494a58052c', '2e52528c924eec10', 'c7bcb6e6fb240827', '989b11ed7420add7', '9e3fccd43f45c2d2', 'c13bb399a020e3c3', '21c6f59110072ea4', '4a14943578b95a8e', '133b10735f5e1c03']; context = [[139, 166], [47, 77], [4, 33], [177, 204], [10, 38], [26, 54], [67, 94], [130, 157], [20, 47], [36, 67], [7, 36], [115, 144], [150, 177], [111, 138], [5, 34], [38, 67]]; loss = 0.029590 low_pass_filter = 0.370
+Epoch 0: | | 3879/? [38:05<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000, ltrain step 3880; scene = ['f83af37ad99c1655', '79beea9672385e70', '87a267d2cfa6ef7f', '4cb3a3bc72da5752', 'a6ff3463269a8294', '3428dfbb69ba1c94', 'd951d136123e72ca', '92d48535714e3403', '681de2df4fcb3ddc', '9b34d768bb3ff6c5', 'bc84a3e1d55aa887', '984fcd3c7c0ddeb1', '4d3bdfc0840251d2', 'dcf8835ddbd28de7', 'e41a7b1166260163', '8e511bd9c1d35a91']; context = [[7, 35], [50, 81], [110, 137], [57, 85], [38, 68], [23, 51], [92, 122], [62, 91], [23, 53], [80, 109], [230, 257], [78, 109], [26, 57], [35, 62], [0, 27], [5, 36]]; loss = 0.025101 low_pass_filter = 0.370
+Epoch 0: | | 3889/? [38:11<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 3890; scene = ['8c662a617235e175', '808d34c910e9f8ff', 'f15c0a5e2869e61a', '22c651e15b5d5339', 'eb25a67b8edf24dd', '3888df11c21d4db5', '42c32233f309708c', '99a34d6492f6ccfe', '3ca571cdaf0080ee', 'f6d7dc72b9906e1b', '985a81850d13edfd', 'cd80c587743d9836', '3b5ecc7fa7f0597c', '0b77cab786151df6', '937764224c20d45a', '9c086d61e7ef8fb3']; context = [[19, 46], [173, 201], [0, 29], [95, 125], [14, 43], [48, 77], [109, 138], [166, 194], [3, 30], [60, 88], [155, 182], [33, 60], [19, 49], [109, 139], [69, 96], [14, 45]]; loss = 0.025132 low_pass_filter = 0.370
+Epoch 0: | | 3899/? [38:16<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 3900; scene = ['b0f2f68540611bb8', 'f676f819da67d1f7', 'cc741538e7d85bb5', 'dd88da6be7b3e1b7', 'e558384acd9268e8', '3b454aef39138012', 'c8982ca964bb4860', '48366367a5fdb244', '1e342fe217cba528', '44c36113e6cea8ac', '70d4882f3b983001', '5da9ed6155213ba5', '2d77b1dd90856337', '8e92a7934ae4139c', '1d8bf12e2ba493f9', 'eaaf81aa1bc440be']; context = [[71, 101], [66, 96], [207, 235], [3, 30], [4, 31], [1, 28], [13, 40], [45, 72], [44, 71], [26, 54], [11, 42], [28, 59], [88, 116], [10, 39], [15, 45], [117, 147]]; loss = 0.029947 low_pass_filter = 0.370
+Epoch 0: | | 3909/? [38:22<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 3910; scene = ['43dcad54760149f9', 'afe48f3de1922dea', '540dfce9c785ed62', 'd08a17e8ed283bf1', '09957592fc85258e', 'b2f641567a21c670', 'b60bd0b7724eef6c', '41adf1f6d52943e1', 'fb58d803ff8567b2', '1fb6158631b058b0', '08ba91736b9b2a17', '2b36862276366c49', '879236637468c58e', 'c6395f5729950511', '960b87d0c2ce86d2', 'dab103950a98ced4']; context = [[9, 40], [5, 36], [0, 28], [21, 51], [137, 165], [28, 57], [21, 50], [5, 34], [22, 51], [10, 40], [34, 62], [38, 66], [77, 104], [149, 179], [42, 69], [54, 83]]; loss = 0.025935 low_pass_filter = 0.370
+Epoch 0: | | 3919/? [38:28<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 3920; scene = ['b5aabaaad03680ab', 'c1e04632f1f7c835', 'a3a708f014a0d854', '40b8c05f6ff38457', 'bc21bacc627a1a97', '32e02be2574101b2', '9059042bbf51985f', '5f41853b77e6e6e2', 'be06cb0dddaf9da6', 'b4edc7085ee59eb4', '80f05cdda5f934d4', '24b67dbb503a87b7', '07e43ec814c3ae7f', 'a698c4ba4ccca74c', 'c81116e9985d9e29', 'bcf85ccd292d399a']; context = [[33, 62], [40, 69], [6, 33], [25, 52], [7, 38], [184, 211], [29, 59], [3, 32], [41, 71], [45, 74], [9, 38], [82, 110], [6, 34], [28, 59], [71, 100], [131, 159]]; loss = 0.022255 low_pass_filter = 0.370
+Epoch 0: | | 3929/? [38:34<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000, ltrain step 3930; scene = ['45e99af9de479d18', 'fa65596a8e365af8', '082c0c02689ac9ea', '20c567d65674f2ca', '37d500b0d445527a', '3c4bdecd948605b2', '58d3f0291ef949cd', '8f6466cf3955548f', 'd77d8728b4f60c05', 'ed32136a29bd41e5', 'a1b6e8ac262440d5', '5f2242ceed2ff1cb', 'a7a018165cd919a4', 'd646eafcd1d75375', 'ebcaad26ea067131', '8727a972009a2f02']; context = [[14, 42], [171, 198], [81, 111], [202, 230], [14, 43], [23, 51], [52, 79], [77, 106], [32, 59], [112, 143], [46, 76], [22, 51], [15, 44], [56, 85], [191, 219], [34, 65]]; loss = 0.024703 low_pass_filter = 0.370
+Epoch 0: | | 3939/? [38:40<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 3940; scene = ['0eacf9b514bc8c4c', '3a61e0db35b8ed91', 'b3c6e6ce7774cac2', '5281a8fb06713250', '4055b055606e283b', '4bacf868d6095406', '4360ac16047eba4b', '8d6f84d1ca63da4e', '15d0496b4ef33361', '031b56a2e1e4bbbd', 'b5260341870c7aa0', '172bf6877630ca5c', '645a09d7d7670e8d', 'ca2389f5e4fcfe61', '351c033201dd3ec6', '6b0cc71a66f4c9c5']; context = [[59, 86], [131, 161], [55, 83], [69, 97], [23, 54], [122, 150], [31, 58], [6, 35], [172, 201], [37, 65], [103, 134], [20, 49], [65, 95], [76, 106], [48, 78], [170, 198]]; loss = 0.024889 low_pass_filter = 0.370
+Epoch 0: | | 3949/? [38:45<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 3950; scene = ['c420be3f96474307', '47a60f3119c7d7e1', '17fbb941d129b91f', '2735d9182acee2f1', '5b9d1cf99dc03ea9', '0d8f65989586d136', '00adc59ebcbe00f7', '104d225e8ec52733', 'da794e5b3ff8bd6d', '3afed25f2ffc4864', 'aaece70a39dd3257', '0f04f8ee8b2396c7', '7fde9a464e6b2a7b', '55f0fab213db4673', 'e045088757e72c54', '39f7c76ef42ac1d4']; context = [[5, 33], [20, 51], [28, 59], [17, 46], [20, 48], [233, 261], [11, 40], [61, 92], [30, 58], [18, 48], [32, 61], [66, 95], [25, 55], [48, 76], [44, 75], [2, 32]]; loss = 0.031942 low_pass_filter = 0.370
+Epoch 0: | | 3959/? [38:51<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 3960; scene = ['440ce0df90c936a5', '4b748cea2f19798f', '37f5f4362e72fcbd', 'c0e8b7d8718425ec', '4333b743c3df5779', 'b5409662410d388b', 'c426c3939899ee95', '84727cf519681ecc', 'f113e3eb8512e251', '8038a594dd50c839', 'de9452d754cf1a63', '8a20ea3b37f8de6c', '6be9fe4a43a26b4f', 'ff8ee30336673235', '04bea0ff2ea6a71b', '4011c9af6ae24850']; context = [[32, 59], [181, 211], [106, 135], [198, 226], [25, 53], [119, 150], [59, 88], [39, 69], [180, 207], [152, 182], [191, 221], [110, 140], [239, 270], [69, 97], [14, 43], [2, 33]]; loss = 0.027430 low_pass_filter = 0.370
+Epoch 0: | | 3969/? [38:57<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 3970; scene = ['42df8c69e0daeec6', '3193e8bf21491023', '0cf733dbbb0e017f', 'e99b8e7d2791de5a', '152c068750a9a9d2', '693b3955c59a2c61', '9cfde553d1782ed4', '3c5825296fdc2a5f', '48bfe6a23972602c', '6692c7ea8af5d77a', 'dcfb0ddcac6008e6', '2b823dc43ce3923e', '99e7a4ff1897a94d', '7772aec9b0479a5e', 'c65c4f335b912414', 'ec462ba8773011b1']; context = [[43, 71], [29, 59], [245, 273], [13, 40], [83, 110], [46, 75], [2, 29], [45, 73], [89, 120], [73, 101], [45, 74], [7, 37], [1, 31], [34, 65], [2, 31], [26, 54]]; loss = 0.024196 low_pass_filter = 0.370
+Epoch 0: | | 3979/? [39:03<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 3980; scene = ['3f66eee8a5092748', '677a227d2b46baca', '159f2b7bc9d7b2a9', '296a1d43f81ed419', 'a90d97dc07e81061', 'f9553326a5f4ace0', '109b6adc229361df', 'e5dc96d4a551f24b', '3f3e74839f5c5b66', 'c9e8b97faafa2ebd', '6534207350c6ba20', '6c48d4f8e82c11fd', '655b92a1e07f28eb', 'e5dc977e96e194de', 'b44e76ceadcbe46b', '7d1d5f8c68d8e947']; context = [[72, 101], [12, 41], [29, 60], [56, 86], [7, 34], [227, 257], [223, 252], [51, 79], [16, 46], [78, 105], [16, 46], [31, 59], [207, 234], [93, 124], [230, 261], [15, 46]]; loss = 0.024761 low_pass_filter = 0.370
+Epoch 0: | | 3989/? [39:09<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000, ltrain step 3990; scene = ['646cc7d6374ec7ae', '83124d7f14f5e63f', '3774a128fdeb369c', 'b72280023e69660c', '4ff883d15e976b33', 'ec86e6990fcd3023', '777a625e551c0354', 'fd4972b6ebc2992e', 'a6190e510a7815d4', '6a59acf348379a73', '24d937b4695cd100', '15297e87f90ef80b', '62a79f4f4b0683d2', '8800988126b27890', 'c0b1165ffad400d5', 'e0feeb21d0e40767']; context = [[146, 173], [7, 36], [36, 66], [8, 38], [1, 30], [15, 44], [150, 178], [116, 143], [48, 79], [43, 74], [4, 32], [23, 51], [62, 90], [25, 55], [164, 191], [7, 34]]; loss = 0.029391 low_pass_filter = 0.370
+Epoch 0: | | 3999/? [39:14<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000, ltrain step 4000; scene = ['5fb80ae92d0685a6', '79ac8c1697071605', 'b8b4d4e967b1eaed', 'c44c89003028942a', 'a99dc3202017e7ff', 'c0bf06f467375743', '3527c9327919201e', '1693c23f843b85b4', '184239156b2c35f5', '371a383238e985a2', '021304d1e09c8b5f', '300272f7a17b746a', 'd81254badee593da', '690e51b50279878b', '01f2f5f1a7ecba68', '333f62c89b529822']; context = [[94, 124], [8, 36], [39, 67], [34, 65], [21, 50], [3, 32], [27, 58], [5, 33], [121, 148], [8, 38], [33, 63], [136, 165], [40, 70], [95, 123], [0, 28], [15, 44]]; loss = 0.024779 low_pass_filter = 0.370
+Epoch 0: | | 4000/? [39:15<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, lvalidation step 4000; scene = ['647f2049bf4cb3f3']; context = [[15, 44]]
+Epoch 0: | | 4009/? [39:21<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000, ltrain step 4010; scene = ['6515d79898b9369a', 'b1dc88aff4b1a3cf', '63b5e725794f8891', 'b8c77f634469a6b6', '57855140884302d9', 'a61018020bd0c545', 'c92ef5fbc5fa1ba2', '6915a186168543b8', '5eda0406a5e02452', '32df185121315429', '9b4023216c7798bd', 'c874ebccecfe6add', '07bf825918a85f50', 'f729fcce20f5e06f', 'de22770da73bbbf1', 'f80301703d292a0b']; context = [[114, 142], [39, 67], [3, 32], [90, 117], [88, 117], [12, 40], [14, 41], [13, 41], [38, 68], [137, 166], [15, 44], [15, 42], [44, 75], [112, 140], [77, 104], [82, 110]]; loss = 0.028549 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 4019/? [39:27<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 4020; scene = ['937ea87bb5a2047f', 'd4b73954f873679a', '73fef5139753e974', '6fb2aa1d31d527e4', '278f61f8ab774b4f', '295a4324517ee9bd', '4b182a8dbf6184f3', 'b99e5b404aa9be0a', 'b09e289b3dc5b7f4', 'fc5e9f0631219e44', 'ac11dd4ec6470f05', '4cb5a4167f3efffa', '6b0df114b4ee6f0d', '06abec1654571d74', '0f4a9d91c1fdff3b', 'af0016aa6c9febbb']; context = [[53, 84], [97, 125], [47, 76], [194, 221], [49, 76], [32, 62], [14, 44], [87, 117], [11, 42], [82, 109], [1, 28], [41, 69], [67, 97], [107, 136], [15, 45], [9, 37]]; loss = 0.025310 low_pass_filter = 0.300
+Epoch 0: | | 4029/? [39:33<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000, ltrain step 4030; scene = ['0f948e341c3124cd', '9804f6309523dcce', '92cc64bcd4dea062', 'b68241a4ef2809bc', '53a8dc913dbc5a8c', '52ee29e2ce0a132f', '018e7d43f8ef9d06', '2ebabd37e60ceef8', '93d3b5c3a5978975', '50cf66a7122f2855', 'a5d896c07cc8008e', 'ce741ab39addbd9c', '958b9b173df2483a', '6050e2ba7733cf5c', 'cceab800023488f3', 'e175be14e93ba0b1']; context = [[38, 65], [33, 60], [7, 38], [73, 102], [6, 36], [6, 36], [7, 38], [131, 162], [17, 45], [24, 52], [67, 98], [79, 107], [50, 80], [4, 33], [20, 50], [206, 236]]; loss = 0.029788 low_pass_filter = 0.300
+Epoch 0: | | 4039/? [39:39<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 4040; scene = ['423fb23a46b7ad6e', 'fbf467b7610b569c', '3205bb1ec6c5e8a4', '03150a5a24b88cf4', 'f71169f6eb2a1195', 'ee251030064a2355', 'cf55ee72cc78fb79', '0d6c94a28a7cf6dd', 'fd3b403751eb0853', '2319b2278555a5a1', '8fa56ad7357b7384', 'aa9d00c30a2ed3a0', '337c6c2e1f2f13ef', '0621c7675fab1418', 'cf47d1935a474b1c', '4c31991f6f26fce0']; context = [[66, 97], [32, 63], [33, 60], [20, 49], [130, 159], [16, 43], [13, 44], [2, 30], [109, 139], [18, 47], [4, 34], [49, 80], [75, 105], [9, 36], [17, 45], [8, 35]]; loss = 0.024867 low_pass_filter = 0.300
+Epoch 0: | | 4049/? [39:45<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 4050; scene = ['37fd2f3f34ae6a61', '526e15b861dbde42', 'ef05aaf749b3d6bb', 'f241dc13122c01e7', '0aa601b42a2b5dd0', 'd5415ea8c79b23bc', '7c621648d0d07a65', '8b95bfe3e8140690', '2d65c93575c6a883', '471a35c1cd5a8179', 'd0c0d5fc515e76ae', 'e2970558f4892f7a', 'e33342f08e052378', '01e5207480d75225', '698495499f8fdafc', '816112a90ba0035b']; context = [[55, 86], [28, 57], [30, 57], [10, 38], [158, 189], [9, 38], [101, 129], [67, 97], [2, 30], [17, 44], [86, 116], [84, 114], [220, 248], [30, 61], [24, 53], [52, 79]]; loss = 0.030053 low_pass_filter = 0.300
+Epoch 0: | | 4059/? [39:50<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 4060; scene = ['0dbb47bae0f2a724', '5cda06618fa317be', '3f9bccf346f84b5e', '6bb82afb461cca15', '6027ca21a5e4603d', '27060266cbd84384', 'c48400351c7b11df', 'eb839322cd90391d', 'fdcd953867c67189', '1ebd573ab2f817f3', '67dbd6412de4a075', 'b2db9653071d45e0', 'cfecc40203481c0f', '9cb7498b7af59492', '0865ab5087227a74', '522da2a710ac5837']; context = [[100, 127], [21, 51], [30, 61], [81, 112], [11, 42], [2, 31], [17, 46], [136, 167], [35, 66], [70, 97], [159, 189], [102, 131], [29, 59], [116, 145], [3, 32], [16, 47]]; loss = 0.026097 low_pass_filter = 0.300
+Epoch 0: | | 4069/? [39:56<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 4070; scene = ['f28e90e7591945be', 'dc3a54ede2d48c8b', 'ff013f8bcc9f80fa', '9d79273413b39047', 'bfc897cfc8733b10', 'b398bc3316269700', 'ad851e2af582ccc0', 'c7f66b7e91a9e97e', '4e3ad7b697fa82ec', '600d0b927ad2995b', '30191495233db79a', '8caccc97dbc76d19', '6738f8412043189a', 'd084bcb064ea2f55', '2e2f1ccf62989277', '9fdeb0d1eeb78a3e']; context = [[28, 55], [248, 276], [48, 76], [112, 141], [64, 95], [13, 42], [48, 76], [58, 88], [16, 43], [210, 238], [11, 42], [7, 34], [85, 114], [14, 44], [238, 267], [10, 38]]; loss = 0.030406 low_pass_filter = 0.300
+Epoch 0: | | 4079/? [40:02<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 4080; scene = ['8ab06b946305e748', 'fa94ec464866ccfa', 'e47853cf56368a5b', '14ca9b012a709593', '0f131672e69409d0', '5987841ef0c7a1df', 'c8af8613f643a65b', 'dcd8192614eb6df6', '6fa448f84a097593', '6f4fa4d46828ff39', '47b06bf4257e2e6f', '6dab80117b1cb479', 'f01c5823afd06b8f', '8c94bdd2b798e17d', '757f1088d03ebd8a', '564e26b48dc77930']; context = [[0, 30], [68, 99], [15, 46], [51, 78], [65, 97], [5, 37], [173, 205], [20, 51], [212, 239], [102, 132], [59, 88], [62, 89], [26, 54], [79, 108], [136, 165], [14, 42]]; loss = 0.023357 low_pass_filter = 0.300
+Epoch 0: | | 4089/? [40:08<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000, ltrain step 4090; scene = ['5c1dd2301e22374e', '72b3e2dda6cd3afc', '1e70d59cdc2296d9', '36cb3e8fff79b724', 'ec938727ca124155', '8ddca90ddef969af', 'a5a9ea8d2ec80fa5', '6b00d03a245eed96', '487dec4b7b2ebd90', '5d54686ded433477', 'c0f577534b342324', 'd5065ab056db1de1', '996c2ee081cda2d2', '292ce0e1c772a2f9', 'dcebdfce0a2e58ce', '3d558b33e360e107']; context = [[27, 56], [11, 39], [67, 95], [61, 93], [54, 83], [55, 86], [100, 132], [19, 48], [126, 156], [23, 50], [57, 86], [84, 115], [55, 87], [11, 43], [3, 32], [37, 69]]; loss = 0.025729 low_pass_filter = 0.300
+Epoch 0: | | 4099/? [40:14<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 4100; scene = ['4e1f3bd33271ea07', '167a09a40e849d22', '13a489e7143cbc33', '65eab90101fa5069', '8e3c9a3eb65b2395', '403afcc00cfc8172', 'de1d8bd49caea768', 'c6252c821a5310db', 'de85f42958581743', 'be525cda9f20912b', '39e99101dae5b664', '0167c4f60f8d3edb', '03575bf8316084e9', 'e2f199d364a2dd73', '217c6e278b7b4b91', '96c6e2db1b6b3961']; context = [[0, 27], [56, 83], [33, 60], [23, 52], [46, 77], [53, 84], [127, 156], [16, 46], [41, 70], [32, 60], [11, 41], [0, 30], [11, 40], [64, 95], [10, 38], [57, 88]]; loss = 0.028975 low_pass_filter = 0.300
+Epoch 0: | | 4109/? [40:20<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 4110; scene = ['b915146b10f26355', '7f60555b6995c522', '08011a68f39ca0f4', '3485e4776717068a', '490710a2cacc8268', '94f20b7d0165bdbc', '069c535d11d48564', '25a35d6bb3d58a7a', 'dc340f8aa416f839', 'ff5a148b852949ec', '6b549d67d37b3d6a', '9ce18e551df6c324', '3169a93d40545f53', 'f45c0dfe6693c28f', '5190e7583e7c034a', '99e4757b3ec84a1d']; context = [[27, 56], [9, 37], [36, 63], [18, 45], [180, 210], [3, 34], [40, 68], [11, 40], [105, 132], [28, 56], [217, 249], [104, 135], [21, 49], [115, 143], [113, 143], [1, 28]]; loss = 0.024760 low_pass_filter = 0.300
+Epoch 0: | | 4119/? [40:26<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 4120; scene = ['530ef7860d383ff7', 'cad89df12fc146e9', '36bf8b485c1284dd', '78ddb18e77a98079', '7d8f97b868ccbb20', 'e937f0b04a960552', '7b70cc2310d009ad', '91d495bf87c49477', '9d5c79ae97b12abf', 'f377fc09af0370f3', '27f9f6d38c7e8e4a', 'ce1ba9200d3b5f9d', '00cfaaa4ba7a16b2', '6bcdb82cb6b822e6', '86db5362c760a2a6', '1a5a8ce59f4c2e5b']; context = [[76, 107], [33, 61], [28, 56], [90, 119], [20, 47], [15, 45], [37, 68], [59, 86], [21, 48], [84, 116], [26, 56], [210, 241], [49, 81], [55, 86], [23, 53], [5, 35]]; loss = 0.024615 low_pass_filter = 0.300
+Epoch 0: | | 4129/? [40:32<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 4130; scene = ['d15194c473c5f537', 'fbc81cf7f2257dc7', 'a465151bd2583e99', '38843476b90d06fe', 'c3858f544a9d90df', 'e1cbdf748a4b04eb', '25604d48a185be0c', 'c6c328242b50ef3e', 'ccfb0dfd6611337a', '5b52ca5def21e510', '7f8c25373eb6ef0e', 'b3656beda36e21c6', 'e85e9ca51c4df1b3', 'f884bf6ffaca45c8', '41c244d2220305cc', '161b1aae30b9cf97']; context = [[41, 70], [6, 38], [2, 31], [41, 68], [30, 58], [2, 30], [13, 45], [36, 65], [59, 86], [22, 49], [20, 51], [23, 50], [112, 139], [6, 36], [40, 72], [47, 79]]; loss = 0.023744 low_pass_filter = 0.300
+Epoch 0: | | 4139/? [40:37<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 4140; scene = ['63a669ba5d269266', 'b16a5957d0cb2336', '26923ce39ef7e6c9', 'b438915a424387e4', '21da907c41e1f6b8', '92bf6f6997e63996', 'f6ea4a33482b14cf', '278af36722395494', 'c9661d73cba46fbb', '0172e6a29a2f00e2', '129486d2d0f4ebe1', '9cab7acb31f8c01b', '3eefb1d71f5507ac', '9df185c096833083', '7dc17d33bc5e889c', '448107015c3d0b00']; context = [[0, 31], [85, 116], [38, 67], [52, 82], [27, 54], [44, 74], [42, 72], [130, 161], [4, 35], [5, 37], [94, 121], [15, 42], [0, 29], [33, 65], [47, 76], [8, 37]]; loss = 0.030008 low_pass_filter = 0.300
+Epoch 0: | | 4149/? [40:43<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 4150; scene = ['69752083488aae44', 'aa33b903d6b2a57e', '75cb48e0b83d8bed', '3bc380de39e58a1a', 'f3f4f9da9acefa67', '706d500bd8966fc8', '32fa2f64dfaacf21', 'd814de9932daf6b5', 'aa2175c8bffe8ad9', '90cd35aca00fdde3', 'e1bfe1e13278c747', '4ee78f549f4bddfe', 'edb290012640c9ee', 'f252c7a1a233426f', 'c0ad727566fca461', '17a9e0f6c76399cd']; context = [[103, 134], [3, 30], [11, 38], [44, 75], [35, 63], [89, 121], [128, 160], [40, 72], [131, 161], [12, 41], [81, 112], [28, 58], [46, 75], [10, 38], [46, 76], [18, 48]]; loss = 0.026316 low_pass_filter = 0.300
+Epoch 0: | | 4159/? [40:49<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000, ltrain step 4160; scene = ['68acc2522f558367', '4fcec6671d77987c', '59af7a148f0573b3', '2395ecfa5327b13a', 'aad9a3b6cf7ad971', '394c8eae897600b0', '6bd6d8270eee0b81', 'e308bb209941c309', 'a3687e6319f47730', '95cc4a86e6e8e823', '3f53a38d77a20a18', 'b117f9d8522f755b', 'e398b6b9b1e85cfa', '935620b6d95b7e07', 'cce19f034d7e4c4d', 'cab8dd14f2f78abf']; context = [[166, 197], [10, 40], [5, 35], [84, 116], [37, 64], [126, 158], [35, 63], [1, 30], [8, 36], [32, 62], [10, 40], [68, 95], [38, 68], [66, 98], [53, 85], [29, 58]]; loss = 0.030317 low_pass_filter = 0.300
+Epoch 0: | | 4169/? [40:55<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 4170; scene = ['5eef7d76653d3c85', 'ff1aaaacf1f11d52', '4fed2921695a07a0', '14d78331d07a5797', 'ff4baf1fa516e521', '08ff3470b32680d7', 'c93ea1bee6fcaa99', 'a8486538b6d9d2fc', '82f269e774f2e65d', '6b599a4d8c7d7275', '63b4b7f92377b7d1', '15f15336f1ea584f', 'c63219b72979f85e', '4ec21b3df4931e7c', '7894112a97be7c1a', 'cf3fe357ad8ba247']; context = [[76, 106], [0, 27], [41, 72], [61, 90], [221, 253], [8, 39], [41, 69], [5, 35], [131, 158], [144, 173], [22, 51], [18, 50], [11, 39], [70, 100], [23, 54], [12, 44]]; loss = 0.024036 low_pass_filter = 0.300
+Epoch 0: | | 4179/? [41:01<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 4180; scene = ['f75bce94129f67f5', 'd9963ae38f556282', '2827b4eef2b7e4bc', '6cae87d4fc3fdd5a', 'fb2bef7738084ba6', '066f14037c220103', 'd765975fd4b393d3', '5481684221b5e41b', '2bda64489943db2d', 'a325c0cc4fb65e6b', '56e30b146039a04c', '185fdfafdd66a572', '3dbb1d21f0d5f6cc', 'd00bf9c20463c925', 'b29d52ebccddf773', '32051586815eca31']; context = [[25, 52], [16, 43], [53, 84], [8, 39], [9, 39], [10, 42], [27, 57], [24, 56], [27, 57], [74, 101], [115, 145], [1, 33], [91, 121], [35, 65], [35, 64], [162, 192]]; loss = 0.024116 low_pass_filter = 0.300
+Epoch 0: | | 4189/? [41:06<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 4190; scene = ['cf784e584d2d33da', 'be885aa875712dde', 'fc5c4244dd42b9c2', 'd29ff797dbc69ab5', '2950884335bd243c', '594a53a4007ff3ee', '0016d89da2d78196', 'a3b8ced5e578e5fc', 'db9bc0ff275d4fbb', '8663906248d346cb', 'c10a042037a5a120', 'ea4fb83f87109ac9', '1b38ef04f2839dd6', '4308154957c1ef63', '3d83d2d0323c3aa7', '7a8567f45e05ad57']; context = [[17, 47], [48, 76], [48, 78], [5, 32], [17, 48], [10, 42], [132, 159], [6, 35], [94, 124], [107, 136], [8, 39], [1, 33], [65, 92], [23, 52], [147, 176], [234, 262]]; loss = 0.027889 low_pass_filter = 0.300
+Epoch 0: | | 4199/? [41:12<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 4200; scene = ['74a01a1daaabdab7', 'a26f6e7deacaa157', 'eb9d8eedd458413f', '21e72cbe7342ef40', 'f914acd76dc2439c', '1a7204b603b0c765', 'd5616c51b75cea9e', 'fa7236017c73627d', '0c19e54f2f616ec7', '8fde54714a0b6a60', 'bab6e161cce58a69', 'aa13dc482af1ef23', '30a6aca7316e78cf', '76f1441716f1db7d', '6ca6dc6c2deea07e', '412a23db7d841386']; context = [[8, 35], [36, 68], [14, 45], [28, 56], [98, 126], [9, 39], [65, 93], [131, 160], [9, 36], [138, 167], [131, 160], [27, 56], [236, 267], [4, 35], [59, 87], [62, 89]]; loss = 0.026191 low_pass_filter = 0.300
+Epoch 0: | | 4209/? [41:18<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 4210; scene = ['d6915ba62668a1ac', '156d109af18219d0', 'c200cf8e0f790a5b', 'd928ee1aa1bf62f3', '1b046ac48aff103f', '47c9a3f589559b0d', '0ea02580498c6df8', '333819a55992b14d', '3eb88834d1d10dbd', '91e35e7d77764a38', '413d6eaceb1a9941', 'c4dcd6a5b2da28b2', '954085ee1bd41d21', 'f870cac9be2d72ea', '3695468b2f5abca0', 'f8b94108d89ec159']; context = [[2, 32], [41, 71], [48, 76], [162, 194], [14, 46], [7, 34], [28, 57], [19, 49], [65, 97], [151, 183], [36, 67], [39, 71], [84, 112], [122, 150], [5, 32], [177, 205]]; loss = 0.026946 low_pass_filter = 0.300
+Epoch 0: | | 4219/? [41:24<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 4220; scene = ['57f766fe3879b023', '19062aa8b95be419', 'ee89a333d4e74ed6', '1ec011c8e0b341e5', 'b812d15c24d97c39', '5d09e3450542850c', 'a06d7d6dd50ff425', '565a146a1bb89917', 'fdee634c49f424a3', 'c17627bc5ae95e76', '0e4be95a7a352b3e', '8984eb818bfe4b6a', 'f9d4d09bb92dac5f', '79ee468c78225a70', 'c6175453d0559407', 'b74a633bb102c61b']; context = [[115, 147], [67, 96], [38, 68], [1, 33], [6, 34], [37, 65], [193, 222], [5, 36], [38, 69], [116, 148], [221, 252], [142, 171], [11, 39], [6, 34], [34, 65], [55, 83]]; loss = 0.029214 low_pass_filter = 0.300
+Epoch 0: | | 4229/? [41:30<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 4230; scene = ['f4bd64444124a20c', '66ed8d9f52f04621', '8ac6426cb060bc50', '1afdeca5e59e0ac3', '0144de7e0f137b77', 'bca3877f59d640fb', '7dbd9d5adbc298b4', '6a50dc3720276e24', '9a6451d7cac94bff', 'e24bcd02fb1d6e1e', 'dc67497a3e582670', 'df3d1461d3c6f026', '49dc1df9df8763a3', '7344b60cf3fa66e7', '2396cd34c407ff77', 'f9890924ad99a82f']; context = [[50, 81], [25, 57], [133, 160], [84, 111], [2, 33], [119, 149], [48, 76], [21, 53], [10, 39], [19, 50], [97, 127], [42, 73], [71, 103], [72, 103], [76, 108], [19, 48]]; loss = 0.026230 low_pass_filter = 0.300
+Epoch 0: | | 4239/? [41:36<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 4240; scene = ['b853f60b6a4e99b5', '5ec3a6e7baf76b0e', 'd051d5f10665fa3f', '7c69cd73707b1460', '5335d77c5e1679e6', 'f69cf3d96e7cf8f8', '7fc314c58433af8e', 'df1d50ec315fdd41', '1b8140d406d557a7', '3c943f6c213163d3', 'cd79d0de91d6c322', '6dee367037a10e4d', '1c6110bfabe7831a', '4439e4423360c42c', 'bb7e7bc809e2d50d', '408a5b93c016b9fb']; context = [[76, 107], [15, 47], [10, 40], [4, 33], [80, 109], [15, 46], [34, 66], [50, 79], [0, 30], [131, 161], [56, 87], [61, 91], [36, 68], [17, 48], [154, 181], [43, 71]]; loss = 0.024337 low_pass_filter = 0.300
+Epoch 0: | | 4249/? [41:42<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 4250; scene = ['bbfc8f15f6a23e15', 'e050c501434635a6', '1589e0b2e2f6bc28', 'bab6e161cce58a69', '30a6aca7316e78cf', 'a9bf0c42f14c8e5b', '6ca6dc6c2deea07e', '2c724397e19d3bae', '76f1441716f1db7d', 'ddda5b9b27235816', '8fde54714a0b6a60', 'aa13dc482af1ef23', 'b9fcfce6eb7f9f01', '412a23db7d841386', '0c19e54f2f616ec7', '1aba0d64c90adb46']; context = [[155, 187], [119, 151], [37, 69], [133, 165], [64, 96], [118, 147], [44, 72], [0, 28], [67, 99], [2, 34], [24, 53], [118, 148], [59, 90], [49, 80], [0, 31], [49, 79]]; loss = 0.024126 low_pass_filter = 0.300
+Epoch 0: | | 4259/? [41:48<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 4260; scene = ['e3039931ad850b3b', '5fd67c044c52bf60', 'cd2d5446f028b0dd', '5842e873b4db1cbc', 'f3a111078caa8465', '0299fc8029037ddf', '145f629d9977445a', '28be4c2b9208df0d', '80c55d2356cf1eef', '1523ebad4743e050', '0a84e7f52f375aec', 'b24872c1e1799242', '2f20605bea9eaa86', '4fa6193d6c4a7a33', '771b0509f7a5effd', '4a60d56fc171fae8']; context = [[42, 74], [56, 83], [86, 118], [44, 72], [67, 95], [4, 36], [114, 146], [30, 58], [57, 84], [107, 139], [1, 30], [0, 28], [60, 87], [78, 107], [20, 49], [47, 77]]; loss = 0.028093 low_pass_filter = 0.300
+Epoch 0: | | 4269/? [41:53<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 4270; scene = ['fe389d965307b43e', 'f5555cb7c50f4cc8', 'dc4f4eeb518621ba', '542a17e17282b837', 'eb5bb02bc048311b', '1a8ecd4c1b802e5e', '91fb18afb0b2b05a', '9cc7f300dbd2b155', '1fd8f49dc1856d19', 'de479f6a023d7c54', '4ff700fcc3295022', 'a682a39c56aa7299', '624baa6ea21a2be9', '06a891389b1fb8c5', '4ca08ed9abd6d4e8', '2aaf84176521c42f']; context = [[17, 47], [201, 230], [6, 38], [55, 86], [10, 38], [20, 51], [1, 29], [150, 182], [63, 90], [64, 91], [1, 32], [0, 27], [248, 278], [16, 47], [38, 68], [16, 48]]; loss = 0.028225 low_pass_filter = 0.300
+Epoch 0: | | 4279/? [41:59<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 4280; scene = ['11ed455a4973e425', '68f11ba3fbf25d0e', '1a5f05ecf38c8ace', '211c877222e64976', 'fc7fbf683160c6ac', '68a4fe5d83bcaa60', '495b8db932e5b9a5', '6e9be9d2846269aa', '63cf8013b255e790', '73252df4f30f4e5b', '7b099c0111bbb660', 'ec38cf01a5678d95', '7399298621aa9bd5', '30cf94f32f17ce24', 'aa808c360df74d94', 'aa184ccff3e3dc0a']; context = [[36, 66], [35, 63], [8, 39], [25, 55], [45, 74], [88, 115], [51, 83], [9, 36], [4, 31], [61, 93], [23, 50], [96, 127], [147, 179], [160, 190], [63, 90], [92, 124]]; loss = 0.026619 low_pass_filter = 0.300
+Epoch 0: | | 4289/? [42:05<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 4290; scene = ['bc8608840a05c70c', '27653232d3379a9d', '4c8ba880158eec5b', 'f578855ac0941a4a', 'ac603e15d0daa94d', 'bb93cd27d7051f75', '798682f477023581', '4d6b988aba86d239', '0a0271d981ead75b', 'fb7276f92ad63407', '8e9d9dc15b1707b0', 'fdac21a86c2a1ef3', '7b95b1f65f0d8687', '0300f87d2ff368b2', '8a0a93588ccdfbd3', 'd3711836cd0fac50']; context = [[9, 37], [1, 31], [3, 31], [2, 30], [1, 32], [12, 43], [72, 102], [26, 56], [56, 85], [55, 83], [37, 67], [15, 44], [145, 177], [18, 50], [165, 197], [74, 105]]; loss = 0.022805 low_pass_filter = 0.300
+Epoch 0: | | 4299/? [42:11<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 4300; scene = ['b233ce84c946d4f8', 'c7f44d3eb4c3eb43', '7a295c909bf77704', 'ac0b15f81f34ea22', '518e41c6040a9783', 'f4e703d23e3cd7b1', 'eb07f2be65cd3ef9', 'cffffa4c0548a72d', 'fbc3668b9e73950a', '8e3dfce25f2d216a', '144913b1e5d43257', 'df662bb3e944a8db', 'a5a8e6a3d35a22c8', 'bbcc18ce68c1bcf2', '51a5009f56cb9674', 'c40d15d6fffefbc7']; context = [[96, 125], [46, 77], [23, 53], [78, 110], [72, 104], [13, 45], [11, 43], [125, 157], [33, 60], [101, 132], [57, 86], [21, 49], [50, 77], [191, 223], [128, 155], [33, 61]]; loss = 0.025404 low_pass_filter = 0.300
+Epoch 0: | | 4309/? [42:17<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 4310; scene = ['c78a86f98b10dc29', 'ced9f02e97cf5b4e', '621342756f23f5f7', 'd70de8275a779d95', 'fa17a491863c5475', '0611543dfbc64bc2', '3806cc2e286a8592', 'fa554f73ac241a57', 'ae7c80a778d247b0', '3fb230c591c1ba92', 'bed32aee0050abd0', 'b97b452e2887463e', '523c819329683e4c', '43297e0c74c63a14', '042c8ee300f52641', 'a6cd9e57513d0f5b']; context = [[9, 41], [6, 34], [24, 52], [16, 46], [19, 50], [28, 55], [54, 86], [3, 30], [23, 51], [12, 42], [40, 70], [32, 59], [163, 190], [175, 207], [9, 36], [39, 71]]; loss = 0.024316 low_pass_filter = 0.300
+Epoch 0: | | 4319/? [42:22<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 4320; scene = ['57175f0ed3caaab0', '3bbe67a40f903aa2', '0cffc79651746ff3', '666bc6592852466e', '04c91df50afd1792', 'ed41dd96081cbfd3', '8098a4b5e731a973', 'ad6f19259e566310', 'b82626b72a875d21', '46ecb89a64c0c1de', 'a9078505733cf9d7', '7a9005af7c4d4d0e', '00eb40d5943d736e', '96ce5de416a83b88', '21b9ab8241a464ef', 'ed0a1cc02c8e4c4c']; context = [[131, 163], [7, 37], [73, 103], [55, 87], [39, 70], [2, 33], [10, 42], [160, 191], [11, 42], [164, 196], [43, 74], [29, 57], [7, 36], [4, 34], [31, 59], [36, 64]]; loss = 0.029868 low_pass_filter = 0.300
+Epoch 0: | | 4329/? [42:28<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 4330; scene = ['57809e7762607040', '908ebbb6694782ad', '56c4bb0072ff2d07', 'e3ccb4844e5a7606', '3475faef8773695c', '9bae98eb98dc2337', 'a45555d2f55ced45', '513ab1107e3d6b47', '9b2df5fd2d1202fb', 'a2b22d6c09056b7f', '06167d62e6dae9b1', '78ee4fc730f480f7', '6b9db893e23474dd', '29283bedb1017665', '4ab2f39dd49c4504', '5951af157af185d3']; context = [[42, 70], [101, 128], [191, 219], [22, 54], [90, 120], [103, 134], [185, 215], [12, 40], [0, 31], [0, 27], [58, 90], [44, 74], [37, 67], [11, 43], [34, 63], [30, 60]]; loss = 0.027109 low_pass_filter = 0.300
+Epoch 0: | | 4339/? [42:34<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 4340; scene = ['05eed8ae0ceee055', '5bfc07e208fce700', '8bb6a52eb7546b9e', 'f37cf46fe1969cfe', '6c03ecd2106e542b', 'fd8c58805a736806', 'cb7969e3c014c447', 'a5a65324d2c3e20f', 'e25fdd12f8ddbe42', '99b8d16252e8bf6a', '1fd3d6918b5f5e32', '16e92460b0a30c1d', '2512655496873dd9', 'e82f04c31c257d70', '06ad777bfa7631a4', '5578bed0fb36c89c']; context = [[78, 108], [28, 59], [67, 98], [89, 119], [151, 182], [228, 258], [17, 44], [34, 66], [5, 34], [24, 53], [10, 39], [35, 64], [29, 57], [73, 102], [136, 166], [19, 50]]; loss = 0.024550 low_pass_filter = 0.300
+Epoch 0: | | 4349/? [42:40<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 4350; scene = ['b50db208d7cd6716', '75dbfc530d974dcb', 'd02a3913658cc9f0', '605af6b8d187a223', 'ed36c1f77ea54921', '80a3ae42fa01f8c7', 'd9ce36aa8de182bc', 'dfa7a182916c12e1', '3f1ba6d26920ff8e', '64082c7dc15fa79d', 'a9bf3348f1e83705', '8d6d63fc0319773d', 'd347f976ced5d74c', 'ede92a46c8dd0f52', 'a943ba6f8905b420', '8cff663bbb394999']; context = [[40, 68], [11, 39], [34, 61], [24, 53], [24, 51], [30, 61], [205, 233], [35, 62], [115, 143], [55, 86], [96, 126], [134, 162], [43, 74], [23, 51], [56, 87], [92, 120]]; loss = 0.027146 low_pass_filter = 0.300
+Epoch 0: | | 4359/? [42:46<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 4360; scene = ['7fe1c7ffa6d39553', '52004686b48e29f3', 'f2132aa929026299', 'f9405ea3b4084c33', '7cfad9304d304a1a', '3691359ea56c00a9', '03489f334856d47a', '45f3a4d8c751c287', '084d516d1d8aed07', '64f7269d99fdaacd', '6535abc5fdb5b232', '8aa531490595fc1b', '2ba4d5c0fdbbb755', '2264c570151d3eb1', 'a1194953642b874f', '0b3a9c304d2aca3d']; context = [[121, 152], [65, 97], [35, 63], [146, 173], [62, 91], [15, 44], [57, 87], [178, 209], [209, 241], [21, 51], [23, 50], [51, 79], [31, 60], [92, 120], [14, 44], [171, 199]]; loss = 0.026433 low_pass_filter = 0.300
+Epoch 0: | | 4369/? [42:51<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 4370; scene = ['4138ec075d5e0fa8', '1c697e1b376ee31e', '2e9fd009632a1bf5', 'f646551e454cd501', '1b98355278b3ca52', '28bb7b161e83ed60', '4fce6c47c4c214d6', 'c62b839c1b99274d', '1008647325f7f5b5', '1213665a8be72518', 'aacccbcbc0722240', 'eb61796d301ac994', 'e1d6178ea1fe6d44', '98b8e9f58887b2c8', '2147da0f465a3566', '9029d8d8f6f0e98a']; context = [[53, 85], [89, 120], [12, 43], [39, 71], [35, 63], [68, 99], [72, 102], [12, 44], [7, 34], [1, 31], [26, 56], [50, 80], [27, 56], [4, 34], [22, 51], [95, 127]]; loss = 0.025667 low_pass_filter = 0.300
+Epoch 0: | | 4379/? [42:57<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 4380; scene = ['4a6092a27f74cb4e', '38ce8373de250943', 'f96e2330b2ce9910', '8b4c5afff771fc3b', '366c23d4d72ed2c4', '78473962153fefe5', '4c2140539aca9988', '49a5dd8a112fa073', 'eff3cec8a8ad0b19', '48168fce6cb19de6', 'a376eeb2a6b48b9c', 'fbf26c42fde22f42', '0db45743986b5100', '41f86e86aed4d978', '8cd39b3cd14c6411', 'bdec1b187ae56101']; context = [[2, 30], [13, 43], [66, 95], [13, 42], [79, 106], [0, 29], [1, 30], [14, 42], [110, 142], [71, 101], [8, 38], [27, 55], [57, 85], [65, 93], [7, 34], [32, 61]]; loss = 0.027240 low_pass_filter = 0.300
+Epoch 0: | | 4389/? [43:03<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 4390; scene = ['f13e60a7684a798b', '2a7a65c998d56be7', '8de516bd1928f1cf', 'c391c8fad43fdc03', 'a6e6e86f6d4c0e90', '745c1172a0e6f030', '981396abde688148', '0f1cb2c833e548e1', '2eca62a782bb02c8', '10c593c198cefb14', 'c4b27a45d91f3791', '0b3eedee850521a5', '52ce0cbf5e3aa419', '7d2b086b7bfb58af', '9fd2226f90eab8cf', '76b29d13a1a25fe4']; context = [[1, 33], [116, 143], [77, 107], [18, 47], [81, 111], [8, 40], [43, 73], [30, 57], [30, 60], [37, 65], [36, 65], [21, 48], [53, 80], [200, 229], [194, 223], [50, 82]]; loss = 0.026061 low_pass_filter = 0.300
+Epoch 0: | | 4399/? [43:09<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000, ltrain step 4400; scene = ['9151720411a52081', '05578300751eb070', '4795f3164af3226b', '482c01e057fdec27', '78b4a3aa2803aeb0', '366116fb5e37ca12', 'e81bb19585fda98b', '3afec4710e95e6db', '1043af708de5a840', 'b4876f461a40631f', '41f5163f4425f3f0', '9ae904981efc4ab1', 'ac8756d6c28dab96', 'f53ba88600fc1d74', '41320ad766f5ee64', 'd9aad93b7c670519']; context = [[80, 112], [11, 38], [6, 37], [129, 158], [97, 127], [3, 32], [85, 114], [49, 79], [15, 43], [3, 32], [41, 69], [29, 59], [33, 63], [79, 111], [24, 51], [134, 161]]; loss = 0.024607 low_pass_filter = 0.300
+Epoch 0: | | 4409/? [43:15<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 4410; scene = ['7eb469a50ba1bdba', '99a9fd6e00e149cc', 'ff75d3f7963cdb40', '215582bd3fed4d11', '616b7c2d27e4aa72', '89e1949d499596eb', '9aecc2625941cf16', '2d212482d640ed4c', '1f3f484a027f93d9', 'e7bc3ad0f05e8975', '556108665fc7b970', 'f73db02fdfe72073', 'a4dac014557e25f2', '0095b1bb592abf6e', '170c909cf2cb0451', 'e97b09a6783c26ce']; context = [[38, 65], [6, 34], [32, 61], [165, 193], [18, 48], [208, 235], [6, 38], [212, 239], [71, 101], [107, 139], [55, 86], [35, 64], [48, 77], [79, 107], [64, 93], [48, 77]]; loss = 0.022779 low_pass_filter = 0.300
+Epoch 0: | | 4419/? [43:21<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 4420; scene = ['bb36dd0e45474503', 'f5c90024e0c40fa8', 'e17790b2f36e4c30', 'b3762e6eada7c909', '22ca83423c4a8c9c', '3a37a1b2a1ea13f8', 'd124663c9b0bba5a', 'd8b5c23a498b8ae9', '526189d3fab5d4e1', 'ab5ed6624644f825', '9825644a9714109d', 'a70416aac11a6d6a', '130a43d1e4a843c3', '7bec1fe1236ba09c', '2e85efc8084d5ca8', '90b386235765d7e1']; context = [[7, 36], [10, 41], [4, 35], [11, 38], [23, 50], [132, 160], [26, 54], [22, 52], [74, 106], [46, 76], [92, 124], [29, 57], [4, 32], [64, 91], [4, 35], [98, 129]]; loss = 0.031376 low_pass_filter = 0.300
+Epoch 0: | | 4429/? [43:27<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 4430; scene = ['8418904f8ae211a7', 'dc1c3e901bbdd1b5', '5d128926c1792da9', '4a4c7ec072d5e873', '7d38d8fbf560e9cd', 'c15c9a0f2ad3e52d', 'dd0858e9a430e078', 'ce18576673ebaf58', '46b601b2cd66dc44', 'c232622462aa0ff5', 'bfdb137e49125650', 'fc98a128fa918536', 'ed812d61801c31d8', '3edb0e0b6f23e2d1', 'b41d2c3425b758cd', 'af9b4afe1833b244']; context = [[10, 40], [4, 34], [77, 108], [28, 60], [12, 44], [20, 48], [80, 110], [16, 48], [95, 125], [97, 125], [151, 180], [36, 63], [10, 42], [127, 157], [79, 111], [34, 66]]; loss = 0.025457 low_pass_filter = 0.300
+Epoch 0: | | 4439/? [43:32<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 4440; scene = ['703b164f3bce65d1', '94d38ad362314bbe', '5572fb835bbc97d6', '60454705a200f9d9', 'c636ea40772e539f', 'f4a0645f7254a5fa', 'd090bdf09e174829', '33d8c1a4053c0af6', '50d330f3a08805ac', '914a2a719cc88175', '8a8e389378f42dd7', '880e7819f343c5a3', '6c31b1dc128b49d7', 'b5dfd6a33604ede4', '46b932fc6f061d63', '0f3d070f4b358f54']; context = [[74, 103], [9, 39], [234, 264], [17, 46], [22, 49], [8, 40], [104, 134], [84, 114], [8, 37], [74, 106], [73, 105], [123, 152], [219, 247], [81, 113], [74, 106], [162, 189]]; loss = 0.024757 low_pass_filter = 0.300
+Epoch 0: | | 4449/? [43:38<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 4450; scene = ['8234e036ca5e340e', '16fb70354ab23537', 'bccf9a3c137d10a0', 'e4cf54f3d79d3f47', 'b913ee29a9954d95', '1675958d1a94603c', 'ae55f82e5c275523', 'a02173ec86dae4ba', 'a168eb962c3df37e', 'fb51740f9f91aac7', '0f6c4e8f67bfa0ee', '537f0b57f895b038', '9899ad035dd9c665', '2b141c0433cc5039', '91147b6e8047c8c8', 'bdbd0d543a3901a5']; context = [[6, 38], [11, 38], [25, 57], [23, 53], [9, 37], [12, 43], [36, 65], [9, 41], [48, 79], [36, 64], [7, 34], [172, 204], [211, 238], [33, 64], [22, 52], [113, 145]]; loss = 0.024676 low_pass_filter = 0.300
+Epoch 0: | | 4459/? [43:44<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 4460; scene = ['ed71bd2e9361f16e', 'a3ea131bf17afb9a', '1c2a649eebbf909e', '7a46f3a1073a44ea', 'cc0b9f33d4d1104d', 'c385decf2b235907', '0f7f10a38a970ccc', 'e888e5cc7d09557f', '2b6a6cb33bc7fe24', '4ed4de63f50502a7', '239ee85d525cc9ec', 'a7c24f60f1640de7', '7d143a7b55d767ff', '9070088e9e97aab5', 'a13d6561db213baa', 'baa2a5d68eeef99e']; context = [[28, 58], [157, 187], [81, 108], [105, 132], [4, 33], [14, 42], [3, 34], [141, 173], [3, 35], [11, 41], [2, 33], [49, 81], [18, 48], [5, 36], [95, 123], [1, 29]]; loss = 0.026868 low_pass_filter = 0.300
+Epoch 0: | | 4469/? [43:50<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 4470; scene = ['10f06c35440e8272', '1ae55eaa9c1fa1bc', '9932456c01feb34e', '87b7a125feafd7e4', 'f78559d07247a361', '9705991bc10bdd2b', 'a0a1844c5e12099c', 'ee1b11a998105ff1', '658fd2565c2cd3bc', 'c9f16c5c526ddbcd', '5ab84da28337a82e', '7e8e4fc21d873b5f', '02ea4129dd5d7b3d', 'c7429dda9e108a54', '2f0b59c1ffe70cc2', '1e97fe5dfd5c79a7']; context = [[113, 143], [30, 62], [1, 32], [61, 92], [161, 188], [0, 29], [27, 55], [8, 35], [7, 34], [4, 35], [28, 59], [3, 35], [48, 80], [40, 71], [79, 111], [17, 46]]; loss = 0.024924 low_pass_filter = 0.300
+Epoch 0: | | 4479/? [43:56<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 4480; scene = ['e09f956b0bc2a83f', 'adb9530a4e81c61d', 'ceaf8911d4dd084f', '364a277584a5b402', 'eadc6a24e965d9bf', '435a0d7de394f31a', 'df9bdab6dba55843', '66f1ee8947aa78cc', 'd29cebacd447f974', '412c2b6464c03f59', '970c7058fc9ed14d', '4f515c197a061a67', '39a56aa5e7a8b4e4', '5be49d95910cc25e', '0565bd311bf73bbb', 'c0a9ec5652b3e326']; context = [[10, 39], [11, 43], [33, 62], [113, 140], [6, 38], [115, 142], [11, 40], [16, 47], [29, 59], [99, 131], [73, 100], [112, 141], [24, 53], [29, 60], [19, 49], [29, 56]]; loss = 0.024394 low_pass_filter = 0.300
+Epoch 0: | | 4489/? [44:01<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 4490; scene = ['c7e15ed240932cdb', '4dbd4b04438f36a0', '5c0810327cc1dc24', 'fa86b6f1bef5e70d', 'f892180ce384dc30', '0221739dc5e25cfe', 'a5289863381a3805', 'd2d9ffc5fccc5aa4', '0d7d9998e082d3b5', '2bc8b64aafc5870c', 'a1d1c182d3b2ee90', '2578cd7cec8068b4', '850fe18254e517b4', '0a2b30f8255c2a93', 'ab78b3eb64029b73', 'c9266f8b6968ca51']; context = [[2, 33], [174, 205], [37, 64], [91, 119], [28, 57], [21, 53], [56, 86], [13, 40], [75, 107], [188, 215], [35, 65], [68, 95], [40, 67], [3, 33], [81, 109], [8, 35]]; loss = 0.031348 low_pass_filter = 0.300
+Epoch 0: | | 4499/? [44:07<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 4500; scene = ['46f85dc85be547ba', '6de42437144a0304', 'b7a14012ca652f07', '5ac9dbde9cf64eed', '2a61433c583f4052', '08c09a60291a2f5b', 'f4286518f13f9e65', '8663eb32379fcd45', '43c617b1ffaffd39', 'd715711625070e85', '7c94ad911e2fd023', '262e52b03eceb5c9', '4b12a530a5ab03d0', '6e4b984075d9d0be', '5d50f21bfe94df8c', 'a1d20c059e8f4779']; context = [[89, 117], [204, 232], [103, 134], [21, 51], [35, 66], [36, 63], [58, 90], [4, 32], [26, 57], [100, 131], [84, 116], [113, 141], [43, 70], [50, 80], [43, 73], [5, 34]]; loss = 0.027402 low_pass_filter = 0.300
+Epoch 0: | | 4509/? [44:13<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000, ltrain step 4510; scene = ['48366367a5fdb244', '63fa54e068bf95ff', '8386e000058b5adc', '11fb88a773d40b0e', 'c358c22b6dacdaef', '9eb26a1771bdc736', '244f77df7b4aeb64', 'a1d3f2e765955d2d', 'e0ca570de3d5244f', 'e724e954dca8ada8', 'a677f7099c189184', 'f38d65464a5edac1', '08995d12c844a39e', 'a5989d5f9f66c05e', 'aee572e41e752b1c', 'ec193bda727a0e1b']; context = [[0, 29], [111, 139], [39, 69], [22, 52], [39, 70], [11, 40], [42, 69], [116, 147], [23, 51], [124, 155], [35, 66], [16, 47], [39, 70], [30, 58], [164, 195], [79, 108]]; loss = 0.025391 low_pass_filter = 0.300
+Epoch 0: | | 4519/? [44:19<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 4520; scene = ['bc8bd4d61ba89a19', '822759abe70b44ca', '4b3e3c88a56df0e4', '73825b627149fe38', '9ee25bf8dc251d98', '369361af7490b680', '08609585cb84d56c', '0b5b1f3349ff1e59', '30d1d975d1cd4520', 'e18c61af3f701333', '0574e4b3cec91762', '549614ec15b27f04', '9659ebb0e3d27d12', 'fee17ef6e7969ea8', 'adbe99ce86fde630', 'aaff435fa8ad71c2']; context = [[50, 78], [98, 128], [37, 67], [182, 213], [141, 171], [15, 46], [175, 203], [27, 56], [94, 126], [10, 39], [24, 52], [61, 89], [49, 78], [32, 64], [42, 69], [118, 149]]; loss = 0.026711 low_pass_filter = 0.300
+Epoch 0: | | 4529/? [44:25<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 4530; scene = ['0db45743986b5100', '38ce8373de250943', '1d42580b8d7be6d0', '4a6092a27f74cb4e', 'f96e2330b2ce9910', '52ca0e96b0cca020', 'eff3cec8a8ad0b19', 'b3ad12ae1d47cc80', '87b1c7b098739af5', 'e0c8479d9bad47ee', 'c12a1f3bda8f533f', '7a6899ae0fe7b2e1', '1b3f09d0f408cdc6', '3de6688abdf5ef5f', 'e98d838758c7b400', '32e8c162218922ad']; context = [[47, 78], [5, 33], [39, 66], [56, 84], [147, 176], [132, 159], [26, 57], [20, 50], [15, 43], [75, 104], [10, 38], [76, 106], [215, 244], [13, 40], [8, 40], [32, 59]]; loss = 0.023452 low_pass_filter = 0.300
+Epoch 0: | | 4539/? [44:30<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 4540; scene = ['bb9122703d0446ac', '25eeae41506761c9', 'b5d098785d0e61d4', '617bd94137b51919', '8ef58a226c35f66d', '98c577bfe33e4dbb', '512ea563cd8f70ca', '5f9233c447468e7f', 'c8c6422d189d4ad6', 'fc2d3a58438fd3dc', '42c9123eed4afae8', '5ffeeee17ea500c7', '9467e5885839c3ef', '8db59da4458703d6', '5950349e32174ec2', '27a2c372be78feda']; context = [[44, 71], [3, 34], [1, 28], [14, 46], [140, 167], [66, 98], [1, 29], [41, 69], [27, 58], [6, 35], [1, 28], [0, 32], [20, 47], [48, 80], [22, 54], [43, 74]]; loss = 0.024772 low_pass_filter = 0.300
+Epoch 0: | | 4549/? [44:36<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 4550; scene = ['aa809e649155f86f', '29caaff58a530496', '9bff32f6dc3defea', '08f02e7ec7dd69da', '809658c303767e17', 'a3a5884addc0279a', 'c2c54fc36968cda8', '124e818bc6629165', '979258bec9c70a3a', 'b6e89f7809809f76', '3a89f41e5980d3f8', '9054ce433694ecb3', 'fea5962ba2801a13', 'cb737f7107cee760', 'd351ba344c572b7c', 'ba404e516886a7e9']; context = [[191, 220], [4, 35], [2, 29], [94, 123], [3, 34], [32, 62], [33, 63], [86, 115], [59, 87], [4, 32], [28, 57], [21, 50], [104, 134], [77, 107], [57, 86], [0, 29]]; loss = 0.024715 low_pass_filter = 0.300
+Epoch 0: | | 4559/? [44:42<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 4560; scene = ['c06dc1d24e73b1b6', 'a508ee63269e07be', 'b6cc5bc6ed31f2a0', 'bd65472b54f34717', '233dc4174425622c', '7d9927959e97ee1a', '75d62d0707d1240e', 'e68962be9d5fa78b', 'bbb9d583807930d7', 'c8b2e4d3f9fe541a', 'f8ff67683c2323b8', '8062e068d364879e', 'c098a117d37c1b11', 'dfb585600cfa6d6e', '070e03b0709a0c7a', '1ebcb2adf17e7fcf']; context = [[111, 138], [33, 64], [63, 90], [87, 117], [38, 68], [6, 33], [160, 188], [9, 39], [134, 162], [125, 157], [167, 196], [19, 48], [221, 248], [233, 260], [78, 109], [120, 149]]; loss = 0.026091 low_pass_filter = 0.300
+Epoch 0: | | 4569/? [44:48<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000, ltrain step 4570; scene = ['355663af90d2391c', '9b08e398d3978550', '8e178e5791592e45', 'a09912f76919c58d', '42b6210318e504de', 'bdcf63d0e401dba9', '8309dedf60ef56c5', 'e05964b2d09ba2b9', '14c18b3853eed06f', '7dd3394cb3908cef', 'd2f6501e51fda88e', '7159d6505aa199b0', 'f91d97a02869cbd5', '5d00a543f59ea3ab', 'c0866648804899eb', '56f95247e77bedc3']; context = [[10, 42], [4, 31], [17, 48], [99, 129], [0, 30], [3, 34], [2, 33], [95, 124], [2, 30], [10, 42], [55, 85], [31, 61], [44, 72], [39, 70], [9, 36], [95, 125]]; loss = 0.030063 low_pass_filter = 0.300
+Epoch 0: | | 4579/? [44:54<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 4580; scene = ['fb5aa8d8a45edf21', '33f684f25c084fbf', '941efd0cb07b15a8', 'ffe6d2b64af58da7', '131ae53ccea8b6bb', '2151d155433a24b8', '617def8550442d20', '4d37415c5fff395b', 'aec362125b51a0eb', 'bfbed04ac874444c', '43948e3fd4685146', '9a6d229b5e17f15f', '5b93d87808d0588b', 'af4c3213f2d7c811', '6287d38e05cac533', '326dd7b41ce515ac']; context = [[14, 41], [85, 114], [28, 55], [74, 101], [13, 41], [57, 85], [45, 75], [41, 68], [38, 69], [118, 148], [57, 86], [31, 63], [118, 145], [13, 45], [0, 28], [18, 46]]; loss = 0.029040 low_pass_filter = 0.300
+Epoch 0: | | 4589/? [45:00<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 4590; scene = ['4f4de276057b80fb', '4d173eec2e6d8ed9', '748207cebac4e4b1', '4fb0473244eb42f3', 'fe20982cb46ccdfc', 'd6078f5174cedfe0', '609699a2c888289a', '45faaf812e4accaa', 'e31f45e94eda4cf8', '9cd453465b518dea', 'c55911a4729c28ec', '0f7b7f2fa681811a', '38a709b9a18034bf', 'fa957196fd3f3d44', '73defeeacbffa502', '0f34ce3de82dd553']; context = [[1, 32], [0, 30], [106, 137], [24, 56], [28, 56], [23, 51], [24, 55], [51, 82], [41, 73], [64, 91], [59, 87], [4, 35], [3, 30], [28, 58], [1, 31], [69, 96]]; loss = 0.029658 low_pass_filter = 0.300
+Epoch 0: | | 4599/? [45:05<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 4600; scene = ['0cb502b3362f80a0', '7a915db6a6bfc2dc', 'e8dd58228cf4436f', 'c4c25091ecc2c5e5', '7323ab189056fced', 'fef48b769b17f0ed', '58986312a7033ed0', '4f7d9469caae5405', 'e6d6d65b924b0725', '637c69ba9a6a77b9', '6e9a46ecd30a00e4', 'b9183c40d08298e5', '7dd9793f5c5660d2', '4fedc0806ed3bf28', '54bce673f9455dbe', 'e18ed4f5ab01e21e']; context = [[3, 32], [18, 46], [83, 114], [131, 160], [29, 59], [100, 127], [191, 223], [32, 64], [164, 192], [19, 49], [5, 37], [49, 81], [154, 182], [21, 53], [11, 42], [33, 60]]; loss = 0.024955 low_pass_filter = 0.300
+Epoch 0: | | 4609/? [45:11<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 4610; scene = ['b6bc2793bbe942c7', '57bdd8129114cd12', '772a9e2837143879', '74f756488e4bf083', '0d2d29c29d1eed43', '8545a7dbac646463', '55bcf94139afa5d3', '151011dd7f7308f1', 'cd4a9ef6996aa077', '1a5e6471450b1c0d', '506a4923b974a1e7', '2cf3128084fef21e', '65065fb29e9fade1', '896a5721e7a26b4a', '8b8f2201562b0eaf', 'cfcf43d0c82993da']; context = [[36, 67], [48, 78], [31, 61], [57, 85], [61, 93], [45, 76], [128, 155], [1, 29], [67, 96], [79, 110], [0, 28], [30, 59], [74, 102], [64, 93], [25, 57], [86, 115]]; loss = 0.026597 low_pass_filter = 0.300
+Epoch 0: | | 4619/? [45:17<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000, ltrain step 4620; scene = ['14eee9b40f6a4373', 'b1d8acd65ca26c50', 'ea5ff365e3c72e1a', '8f66b180ab339f01', 'dc9e32ec34b058aa', '9fa10cc1b8441d3f', 'c7d468e8e326bc67', 'df4487db098d93f1', '25dd017c409dc6ff', '9af39f3dadb1471e', '5a38b8d664c399f4', '270ec2d099edfccd', '69029690713e2555', '06e9f26b5f803220', '9244ece752e135b3', 'b0139ba67c176260']; context = [[180, 208], [80, 111], [31, 59], [31, 60], [88, 120], [38, 65], [7, 37], [26, 54], [136, 168], [1, 30], [26, 58], [123, 154], [71, 98], [77, 105], [21, 52], [42, 72]]; loss = 0.030245 low_pass_filter = 0.300
+Epoch 0: | | 4629/? [45:23<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 4630; scene = ['730b321f2c6497e1', '242cda114fd10fd4', '4375b6c6ed3f072a', '1a4a70d73a62334f', '96511adf959795aa', 'fcb9315dc0c2363f', 'bf78e74b9709529e', '0e85f9c3973b1102', 'b215bd4e6fb3908e', '7c4216f5c1228f5d', '7b371be1f5174844', '855462aca11242cc', '8be3a9f4149545b6', '5960b646542df055', 'f0dede73d7704d1f', '1a314c79785c4dfb']; context = [[56, 87], [19, 49], [183, 211], [5, 33], [85, 117], [6, 34], [18, 48], [105, 136], [115, 145], [43, 70], [27, 55], [87, 115], [80, 107], [5, 36], [49, 80], [61, 92]]; loss = 0.024276 low_pass_filter = 0.300
+Epoch 0: | | 4639/? [45:29<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 4640; scene = ['4d352f1f3d457919', 'ede200d8e3ed570b', '0936ae04b1b95f1f', 'df80779cfff33170', '85e226223d1d045b', '53fd05a1f24da0b6', 'a508ec7fbde00d1a', '2bbb6e260fff96b7', 'ec740dac79f473bd', '911d68b78781f3a9', '6a211ff7d9fd2195', 'faf7b50488fc7fc2', 'e63ecf08e037ec9b', 'eaf376da1a87aba1', '6efb721d33009880', '7161a4fca014d00f']; context = [[28, 57], [60, 88], [26, 53], [7, 37], [112, 141], [17, 45], [19, 46], [5, 33], [65, 95], [62, 94], [39, 67], [32, 59], [61, 92], [100, 131], [0, 28], [15, 43]]; loss = 0.025488 low_pass_filter = 0.300
+Epoch 0: | | 4649/? [45:34<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 4650; scene = ['a2f5259808115926', '5807633aaa24e315', '53d0ffdbf11b4c43', '55b05c9caa5f4d52', 'f26265876d49f8eb', 'c56fd76f9112e79c', '930445560df8678a', '195fc11ccfc6373c', 'c57e6a4defebacff', '2024b4f262746dd9', '9a5ec225cc655d4b', '2558560e4ba11930', '1715b52a913b953a', '8888284d5842e20d', 'd0e5375ea13f7b31', '783a62439d03c764']; context = [[37, 67], [46, 74], [59, 92], [34, 62], [29, 59], [16, 43], [58, 87], [27, 54], [82, 112], [16, 45], [69, 99], [34, 65], [161, 189], [19, 48], [46, 75], [38, 65]]; loss = 0.028295 low_pass_filter = 0.300
+Epoch 0: | | 4659/? [45:40<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 4660; scene = ['32f1db59163dbbc6', 'e767e1623adf0471', '622415481d35387b', '0f7730277fc0ed26', '386edda973505b9c', '58c3d4b20c0af4b0', '6e12e46a273ddb93', '8c118dc21586b065', 'ee93d0c6e61bb08d', '2bf91de5cd028c93', 'c96068ac4bae306c', '2180488eec77f962', '013c0dd9d0f20a96', 'c6ebf1a0acc6844d', '4b6cbf1f4c87d918', '86270bfca57f93f8']; context = [[27, 59], [211, 243], [156, 187], [36, 63], [29, 59], [36, 64], [36, 64], [79, 112], [237, 269], [13, 43], [55, 86], [2, 32], [39, 68], [53, 85], [7, 36], [22, 49]]; loss = 0.031239 low_pass_filter = 0.300
+Epoch 0: | | 4669/? [45:46<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 4670; scene = ['2333e48f8718af8b', '6260a548c92d6bb4', '2f1de0f2c7685312', '970c7058fc9ed14d', '06d7ae344e03de07', '39a56aa5e7a8b4e4', '5be49d95910cc25e', '0565bd311bf73bbb', '78a813c1cdfa752c', 'c0a9ec5652b3e326', 'b172cf5674a8282f', '4191d2b8b0260e8b', 'c2109cda6feb0115', '0e156bcb1766c1bb', 'f80b9ad0e5617bf4', '998951524fe8db09']; context = [[12, 39], [26, 54], [3, 30], [14, 41], [1, 28], [19, 50], [63, 92], [48, 77], [200, 228], [11, 44], [137, 169], [38, 68], [22, 50], [28, 56], [44, 76], [50, 81]]; loss = 0.028629 low_pass_filter = 0.300
+Epoch 0: | | 4679/? [45:52<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000, ltrain step 4680; scene = ['183191ba211499fe', '969a6b7b65dd674f', '9103f896c98395e9', '5968fddab585c142', '911d711adaebccc4', '92087cd1fe458a9e', '9f3db50376623c8f', '721ecdae6bd08432', 'cd9f22e2ccab8e1c', 'fc5b4b525f9eb8e8', '9bafc381dbe8264e', '6c223569b692fc4c', '69916f6abedac5b2', '6d61d179e5834252', '0902983e76d12d43', '54354a0322534606']; context = [[203, 235], [46, 73], [188, 217], [109, 139], [90, 121], [28, 60], [135, 167], [45, 73], [217, 246], [7, 39], [67, 96], [122, 150], [17, 46], [52, 83], [61, 91], [54, 82]]; loss = 0.030802 low_pass_filter = 0.300
+Epoch 0: | | 4689/? [45:58<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, ltrain step 4690; scene = ['30c73eeac2721d1e', '740c1fccd9bf4e71', 'bba9c4e1979810b5', '0d8ee00c443dfbcc', '34395b11b2913023', 'e18a4b06e5cb8d8e', '1fbf35024dbf8d68', '693fbf5b514480f0', '40a36a6b415dcae5', 'a0a563271ffc0f65', '06a5584434579664', 'd8b1092e3ee04227', 'b123dd2c895e2267', '7f2487897b9a59ba', 'b679f3152c617803', '2c3832975edda3e6']; context = [[27, 56], [23, 52], [11, 41], [60, 90], [102, 135], [56, 89], [39, 71], [93, 125], [155, 188], [0, 31], [41, 68], [31, 62], [1, 33], [111, 143], [110, 140], [17, 44]]; loss = 0.026777 low_pass_filter = 0.300
+Epoch 0: | | 4699/? [46:04<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 4700; scene = ['ff422469e034ae11', 'f7dbc855fd2a7669', '9c4c1ff17afbe356', '5f88e169f1188873', '6b0dd861e1ab1fec', '90c2437a7dce04b4', '79de3ddc432ed0bf', 'e9639b429cbebec9', 'f9642516675928bf', '74f043199f928b24', 'dd83a22ce8d33768', 'cfaaab863238b8c0', '3fa8b5d99c8e3897', '8a749305c8a7a764', 'e9d559d905f9e293', '1c76055afe762ded']; context = [[147, 180], [0, 32], [31, 60], [9, 39], [60, 89], [7, 40], [165, 197], [74, 104], [37, 68], [47, 80], [13, 44], [60, 87], [11, 44], [44, 75], [7, 37], [132, 164]]; loss = 0.024610 low_pass_filter = 0.300
+Epoch 0: | | 4709/? [46:09<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 4710; scene = ['beca98893cda11dc', '2e47fe7654371edc', '4f3b49c328faf997', 'b11834a0237c89c9', '29d4647c06c7e4c3', 'dcc6c4bc560ac88d', 'af4d90b5286718d0', 'efcd629672d84216', '4577298e935ab57f', 'be60e4b9932e0088', 'c2fa9cb1b2f5812c', '7d06460d5665698b', '1cf7d551e89753c2', 'c9e8eb444e59ea70', '70bea44a967f219c', 'ed428b0ea145da08']; context = [[220, 252], [204, 234], [41, 72], [55, 82], [0, 28], [144, 171], [29, 59], [5, 36], [6, 36], [42, 70], [21, 53], [187, 214], [90, 122], [120, 151], [10, 39], [27, 56]]; loss = 0.021347 low_pass_filter = 0.300
+Epoch 0: | | 4719/? [46:15<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 4720; scene = ['e6510eaf44b146c7', 'e382b9bd1bb09aaf', '20234c1500fd5d4b', '6d3d022cd71a6c1b', 'b33892623289ddd4', 'd078b73e18eef725', '26b7958a9c2bfd74', '181442f5a6f77345', 'a4799f7a4cb2fd01', '20ebdd1a00b47e06', '7e9f7d67297a7768', 'f474a94441893d23', '8e2788fb59297024', '314b6d851322d367', '82f71425ef743378', '8fdc497d1fbe893e']; context = [[25, 56], [40, 67], [0, 28], [39, 70], [5, 37], [87, 120], [67, 95], [6, 35], [1, 29], [3, 30], [56, 86], [19, 47], [11, 42], [22, 51], [55, 83], [72, 99]]; loss = 0.025770 low_pass_filter = 0.300
+Epoch 0: | | 4729/? [46:21<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000, ltrain step 4730; scene = ['12fee7f1978d52f1', 'c95b281ebb1d5204', 'c817f950848090ec', '81b0ef8a758fba61', '1d551aaae4e7bcba', 'c533cd77b9d83394', '0cd6f4841a15ea2c', 'a1320688d26c7fbe', '6da546cc88d60c4e', '9ff58706e510fac5', '104239f3585cef56', '1dd9690bd5cc0fcf', 'b701a44de44e6712', '5f0451faca69a874', '3ba697b94cd6d10c', '606edf61ee190bb9']; context = [[82, 115], [27, 57], [57, 86], [219, 251], [3, 35], [31, 58], [45, 75], [16, 49], [47, 80], [216, 245], [26, 56], [173, 201], [230, 263], [68, 96], [40, 71], [14, 44]]; loss = 0.025829 low_pass_filter = 0.300
+Epoch 0: | | 4739/? [46:27<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 4740; scene = ['e363997ea65563fd', '540c9279a5df9238', '04ca0ba3f07853ff', '10ec327f7de6ac81', '977b59e04db8d8a2', '2971b9437dfaebbe', '13dca51f82b69bc8', '35dea7ca0629d8f5', '0c71ef124468ec2e', '781afbd41e87c025', '27d0b196b2681fd2', 'bf799dfc5a8c8e2d', '9ff828ff643d59db', '6a80f592eccac80a', '5d2be6ffaac37d6e', '13e915d66f8c9bf3']; context = [[45, 73], [113, 143], [1, 34], [69, 101], [144, 173], [10, 43], [26, 56], [6, 38], [35, 64], [19, 46], [49, 82], [108, 136], [241, 268], [35, 68], [111, 138], [160, 192]]; loss = 0.027643 low_pass_filter = 0.300
+Epoch 0: | | 4749/? [46:33<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 4750; scene = ['46fee8f9d1cbb8d1', 'f6a8eda22762d156', '70709179f81c7844', '55ee1591683fb4bb', '1de70b115c94b564', 'bf3d2ce851c5b70b', '7f0f935534ba381d', '782479430e1462b3', '97399fa3221758b7', 'a9218527a27202f0', '989c98919c961cdb', '6aa7164b09ff6ccb', 'e5b0abe398be6f94', '42c7c30a9d8b0fbe', '04829461484883c3', 'fcf176d504f6568b']; context = [[213, 243], [11, 38], [42, 70], [10, 42], [74, 101], [30, 58], [12, 41], [25, 55], [61, 94], [55, 85], [52, 85], [41, 74], [9, 41], [5, 38], [1, 29], [38, 70]]; loss = 0.027644 low_pass_filter = 0.300
+Epoch 0: | | 4759/? [46:38<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 4760; scene = ['829edc41b1f3753e', 'b01466523e734f6b', '17e26092b16e2f53', '2afa9fb38e8ed969', '86054b6e80f14a30', '75d1f641bdddcbb7', 'abe4316db2a41347', '3d342a39f1e1eb91', '9af4042d9c4882ba', 'd2257433ed472be2', 'd6d813002524c1de', 'a1ab776dff376ff7', '58cb8118a80c0baf', '41cfed19471833e2', 'ec3c3a41bfd736a3', '63824989c3f412af']; context = [[55, 88], [240, 267], [74, 105], [43, 74], [0, 29], [47, 78], [0, 31], [33, 60], [62, 93], [83, 116], [76, 108], [95, 122], [117, 147], [91, 123], [4, 34], [113, 145]]; loss = 0.025336 low_pass_filter = 0.300
+Epoch 0: | | 4769/? [46:44<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 4770; scene = ['bb405330b65471b8', '813f700434b84d7b', '82d755323ff34251', 'b306732011b00fa9', '03949f3d535d6384', 'fa7006cace6c3841', '91aff6bc8700eb86', 'f593978e69163b6a', '5ac2a4b054c3af89', '89cbee6e1a545e3c', 'baf2bd07d76df93d', '03e2367ca6e441ed', '2824dd170b15dbe3', '25daa0b79515aba5', '7e39808967de46fd', 'e08818e4ab5232b0']; context = [[74, 106], [10, 41], [10, 43], [1, 34], [101, 131], [26, 54], [28, 61], [30, 60], [26, 57], [86, 114], [32, 65], [8, 35], [57, 90], [15, 46], [13, 42], [27, 60]]; loss = 0.027878 low_pass_filter = 0.300
+Epoch 0: | | 4779/? [46:50<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 4780; scene = ['9dff9a317da1d49d', '756a0a00121f53d3', 'e599e584e54fd42b', '214c29d12940696a', 'b6d22d6bd307cc90', '4af0acc8924f8df3', '7111ae9755f6fbb2', 'ce31e33f156aeec5', '1ea972dad8710e4e', 'cdcc58497fc89b85', 'ec719970f17f2eed', '6f515f805a3d2848', 'b7b258cdbcf3f630', '9687e70e5f4eed37', '246c5b6a15519b6d', 'cd62a0a0de875deb']; context = [[88, 116], [94, 121], [9, 38], [6, 36], [214, 243], [33, 60], [147, 177], [7, 37], [81, 109], [13, 44], [50, 79], [102, 129], [103, 136], [13, 40], [18, 46], [123, 151]]; loss = 0.028709 low_pass_filter = 0.300
+Epoch 0: | | 4789/? [46:56<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 4790; scene = ['598059ad230a695f', '33e2770d5221886b', '1572c4a6a6b91f35', '5bd2eb1dd2642230', '3763e33c77859f9f', 'e708d0f905809672', 'b3085000c9240eb6', '2c4c8cfb1a98940b', '15c5879af7e6a115', '99cbd88e83b13402', 'e782d3532e6907c2', 'f50ac363deab2f93', 'f9abf2ecc6ec26fd', 'e714d73d9fd0a500', 'ff3c5719e91ed7f2', '0a7c736b15471316']; context = [[15, 45], [90, 118], [27, 55], [31, 58], [46, 77], [66, 97], [39, 69], [139, 171], [16, 45], [5, 34], [16, 48], [5, 36], [66, 94], [42, 74], [113, 146], [35, 63]]; loss = 0.025555 low_pass_filter = 0.300
+Epoch 0: | | 4799/? [47:02<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 4800; scene = ['a0883fd11d656ac5', '9fde98805690a4e5', 'a94e03cd69b319e7', 'e0b48fb2ddbbe96b', '8a09ec7946cf4938', '89b54f912927a60b', '2225123ef31a93e4', 'ac5df5f432218bc1', '180608332f0b1b2a', 'accfed2fa6ff849d', 'd0aafe6b7593a8c6', 'e53ec34eab835d44', '75e5ba7e7fb64fc0', '392052b37ba1b434', '35c70af801116b59', 'b4e19294cf3e2116']; context = [[61, 94], [14, 41], [82, 111], [83, 115], [79, 111], [77, 108], [5, 36], [7, 38], [80, 108], [33, 61], [13, 40], [176, 207], [107, 136], [129, 157], [62, 95], [182, 214]]; loss = 0.026109 low_pass_filter = 0.300
+Epoch 0: | | 4809/? [47:07<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 4810; scene = ['650c97a5d26d16fd', 'bad9d8fce9a88d31', 'a3abe0c419b12a6d', 'df3eace7286b16ff', 'f2e6470ad27f495d', 'a9319dee9251ebe6', '0ba513fbd074377d', '5449702e7a248c83', '59d453d9a3928400', '66726f5afdab740e', '975302d5f959f41c', 'bd4fa299f6efa649', '46f85dc85be547ba', 'd4baf663cc2213b2', 'e8deafeeec77f45e', 'e984f302bcc9358a']; context = [[186, 213], [84, 113], [68, 97], [23, 54], [65, 94], [124, 154], [22, 53], [19, 47], [41, 74], [204, 233], [54, 83], [54, 82], [104, 131], [189, 221], [122, 151], [104, 134]]; loss = 0.025220 low_pass_filter = 0.300
+Epoch 0: | | 4819/? [47:13<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 4820; scene = ['ff0ca66ce92045b3', '9cdf3826b7e9a91c', '71baaf1c67f27129', 'f04f855a7935bf43', '1c72f7e8ad167b29', '25d442a8c161f603', '3c0f96460282d9e5', '392052b37ba1b434', 'd4cbeb25474a17b7', 'b4e19294cf3e2116', '53907ac8b877a09e', '25129a03cfd7700b', '35c70af801116b59', '6a3f470f8e9d66a9', 'd2bd3a3f16cea877', '46ea38e907a53781']; context = [[0, 29], [58, 88], [33, 62], [45, 75], [210, 238], [138, 165], [17, 49], [6, 33], [195, 222], [82, 114], [105, 135], [139, 166], [41, 70], [94, 123], [34, 61], [11, 40]]; loss = 0.024948 low_pass_filter = 0.300
+Epoch 0: | | 4829/? [47:19<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 4830; scene = ['311798fdc9ad0489', '64626bd202f2254c', '4456801bad039b03', '69ae4d9c04b6847f', '156d109af18219d0', '232747a643935bfe', '3f7b5149e2a37b96', 'f5fa80e828316946', 'af3fb667751c8a50', 'd6915ba62668a1ac', 'dab34da268b7e4f8', 'f0fb5e75d231dfa3', '246d7efd306d3317', '4ed61c584ce1d04b', '1e004033e313ba51', '91e36f2d0b1180b2']; context = [[102, 132], [48, 79], [51, 80], [59, 91], [162, 189], [103, 130], [9, 39], [0, 31], [7, 40], [6, 33], [32, 60], [16, 45], [13, 41], [75, 103], [179, 212], [12, 42]]; loss = 0.023652 low_pass_filter = 0.300
+Epoch 0: | | 4839/? [47:25<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 4840; scene = ['652eec833b4c7da8', '58a007e8e111ef3f', '852f7c2aab04ec8a', '4420547213fa33ef', '0c0750bfa3e590df', 'e4f3630e8f2fbc49', 'd14823e5d7bf0345', '75395572e67504f1', '69f4af955f0c5456', 'c29cc54efc535e57', '09f2ad8e87f8f42f', 'f43d286d12845522', 'a35e52a09f508fe6', 'd13f87ebbb540503', 'f7d98971d27dfe00', 'fe6824a4a09b11e0']; context = [[13, 44], [133, 164], [6, 33], [13, 45], [35, 63], [40, 68], [89, 120], [140, 170], [31, 62], [30, 61], [120, 152], [251, 278], [40, 72], [43, 71], [18, 51], [51, 80]]; loss = 0.028718 low_pass_filter = 0.300
+Epoch 0: | | 4849/? [47:31<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 4850; scene = ['c4fc7db048856762', '62770663d7a4db52', '0a4984a2df86b475', '854751ec83107f77', '8dd25b0a12c6a8f8', '348e112a06c25f4d', '63e22bbf20853cd9', '55f8b7d5838491ae', '521f7e732acd87d5', '6cb7f85c92dc6f1a', 'a64c3c6132360d83', '162b5410b9529295', '7ca92f7455e150c5', '5a1c3e7d540db485', 'ca3b69314475eaba', 'ff88889c88690944']; context = [[30, 57], [200, 233], [38, 70], [92, 125], [6, 35], [62, 91], [87, 116], [5, 36], [115, 148], [30, 63], [91, 124], [63, 91], [16, 46], [57, 85], [81, 114], [66, 96]]; loss = 0.028362 low_pass_filter = 0.300
+Epoch 0: | | 4859/? [47:37<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 4860; scene = ['5b38600054300759', 'bfcb6064b910e923', '17dff78fa53d8977', '9749f269b3c35673', '3fff43daf78cf5c6', 'ae967e6bbd12e29a', 'ceae0d5fe00411b8', '9b91c8500421d562', '0d7c648be0247e1a', '7453567bc6bb115a', '7f54d26a8ab0e14e', '86804304e90a280f', '502168dc460bc1c7', '970c8ab96a42388c', '1e464d7d6edb8441', 'c1680461b2490fa4']; context = [[13, 41], [69, 100], [15, 42], [2, 33], [56, 89], [15, 42], [2, 29], [36, 67], [8, 40], [17, 47], [5, 33], [98, 128], [37, 67], [35, 63], [1, 31], [37, 66]]; loss = 0.026587 low_pass_filter = 0.300
+Epoch 0: | | 4869/? [47:42<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 4870; scene = ['4665abcd48bb710a', 'df74597c3957bd8c', '1c5c50af69deab6f', 'f0bda6f91712fd5a', '73b4f3120576ae0d', '0d89dfd83ed81e71', '24f7243394904def', '1c71ba8b64ef1410', '699bc7dbd0bcdaec', '071eb67ff13bf80d', '646a74f178afb3a6', 'ad2bddef36995b31', '16c47f696bf6293c', '0c14e3a75d58b35f', 'ae59cd17e5fe684f', '0e015372167a4e79']; context = [[20, 51], [26, 53], [7, 35], [55, 86], [42, 72], [88, 117], [40, 71], [136, 164], [21, 50], [61, 92], [2, 33], [37, 70], [211, 243], [32, 62], [73, 106], [6, 35]]; loss = 0.025259 low_pass_filter = 0.300
+Epoch 0: | | 4879/? [47:48<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 4880; scene = ['acefb8ef31722674', '5c6c6c70effe40ed', 'e99e4a230005fefa', 'eba3eac70a8adcb8', 'fd6c49a5509e066f', 'e9b957cd7913a11b', '5e85ac5196dc2aab', '64057e606626c033', '5ff2a11b44e04f20', '2d3889504214a739', '362c5a55ee5877b3', '3d83d2d0323c3aa7', '7a8567f45e05ad57', '494fa216992cf7f5', '196f22e8a9814fa5', 'dd8936d3dfe2e92f']; context = [[58, 89], [19, 52], [34, 67], [15, 46], [114, 143], [36, 65], [137, 167], [49, 77], [13, 46], [25, 53], [36, 67], [204, 237], [138, 165], [7, 38], [199, 226], [7, 37]]; loss = 0.025363 low_pass_filter = 0.300
+Epoch 0: | | 4889/? [47:54<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 4890; scene = ['a2153772358e871c', '98824563b9f7d065', '380294ac4e10fd8c', '9322864620eb33c0', '33ad1cca28b4a707', '1220bffac85171ae', 'f1e829e7ce0c57f5', '11bb5f595455f35c', '93608c4038aa7076', '0db69b3fdc5ac7a4', 'ca8f37b7464df7c9', '2a9a0d7936c79eac', '2f6c751ae35cf1de', 'f1021f385c05e35e', '48a3ce4bd42f000d', '937deb71c0c4d1e5']; context = [[24, 56], [87, 120], [61, 90], [41, 74], [18, 50], [223, 252], [29, 59], [14, 47], [31, 63], [41, 69], [100, 127], [74, 105], [75, 103], [34, 63], [13, 43], [36, 67]]; loss = 0.022723 low_pass_filter = 0.300
+Epoch 0: | | 4899/? [48:00<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 4900; scene = ['abed37caa43d78f8', 'db90db656da7ff73', '8994833d3db7b424', 'fce6fac0521553e6', '30db1003608bc643', '0f01b8eebfadbfe0', '884d641124559b04', 'd4feaec801a34163', 'f93810676d1025ce', 'b00b0366223e6877', 'd4d7f2bcf36167db', '263f0d42e8710c65', 'ea77fcbd26a790af', 'bb63fc0162dc10d5', '072ca8802c0424e4', '109be21e1df549ed']; context = [[14, 43], [42, 74], [48, 77], [64, 95], [72, 101], [17, 45], [13, 42], [88, 117], [83, 111], [19, 49], [43, 74], [2, 30], [82, 110], [50, 77], [0, 29], [70, 98]]; loss = 0.027799 low_pass_filter = 0.300
+Epoch 0: | | 4909/? [48:06<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000, ltrain step 4910; scene = ['d4e63c1413deec70', '912bd8af2638b94a', 'b3948b46c43ce90f', '92bf6f6997e63996', '3bfe1aac6d0135b6', '26923ce39ef7e6c9', '27d9c566d58acb5a', '90105819e3590888', 'b16a5957d0cb2336', 'b438915a424387e4', '63a669ba5d269266', '21da907c41e1f6b8', 'f6ea4a33482b14cf', 'a779cbed95bd0cc2', '56ecb1658ea79417', 'f19c1b266757f967']; context = [[129, 161], [171, 202], [85, 114], [20, 47], [1, 32], [0, 30], [120, 149], [27, 57], [221, 249], [130, 157], [27, 57], [65, 95], [98, 126], [100, 128], [49, 80], [48, 77]]; loss = 0.029589 low_pass_filter = 0.300
+Epoch 0: | | 4919/? [48:12<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 4920; scene = ['2c8487ab01c71a50', 'a7e5c2b2c8fe38eb', '9efc4c71d82f7576', 'd821b84ef7e2c186', '36b937cc3684eddb', 'a9b7950720515148', 'b7b940096bce069a', 'd9a133a4747493d2', 'f1ed436c334f8f56', 'd4cac1ead89742e6', 'dd9ccc6a980e0cd5', 'b07850da36ee6d48', '5aaf512e0f84bf1d', 'b3c0809819dde91f', '26aa086d311dd0e5', '9c56f946df1f8cfb']; context = [[196, 227], [5, 35], [193, 226], [33, 62], [107, 137], [220, 250], [12, 39], [6, 38], [101, 131], [45, 72], [63, 94], [6, 37], [87, 119], [38, 69], [23, 50], [85, 113]]; loss = 0.025472 low_pass_filter = 0.300
+Epoch 0: | | 4929/? [48:18<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 4930; scene = ['b0fcf620b2286b46', '719e2e8912e4eed3', '719114b7f77ecd8f', 'c7ab517e25e78d17', 'ca0f8980e88d4678', 'b629d13b89f69d20', '5aff6bc5160aff5e', '584ab0e81d0ed4b3', '31dd729f2ccc492b', 'fbd116be6269d855', '819065582ae39dd4', 'd910c17aafacbd5e', '2b6e36dbf4fa5e07', '89ff43e6ee2eb016', '7ecf693f4f2c0200', 'd62df7dfb0336080']; context = [[40, 72], [16, 44], [5, 33], [68, 97], [11, 39], [99, 131], [3, 35], [92, 121], [3, 34], [134, 162], [20, 50], [34, 66], [60, 93], [0, 27], [8, 38], [2, 35]]; loss = 0.026945 low_pass_filter = 0.300
+Epoch 0: | | 4939/? [48:24<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 4940; scene = ['75658e8027c86067', '4cc1fe94dc835080', '43d6c0f25725e6cc', 'b1ddaa87daa7e8c4', '6ccc2acf7133aec1', '22549a33440683ed', 'c7dbfa49247a1aec', 'ce38c38d4f61c599', 'da082d9aa25ca7a0', '6c4cc8781a04dd6c', 'c4bacb055e2540bc', '7214f16379a2cfcb', 'dbfc3f7573753601', '565c69d4e200fa4e', '3b024fb18bd032f7', '23e1ee10d980084c']; context = [[25, 57], [212, 239], [13, 42], [49, 81], [57, 86], [98, 129], [23, 53], [2, 34], [1, 34], [48, 80], [75, 103], [23, 50], [40, 70], [19, 48], [89, 121], [98, 130]]; loss = 0.028560 low_pass_filter = 0.300
+Epoch 0: | | 4949/? [48:30<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 4950; scene = ['3421adc5189bec72', 'e53d154fd5a3e82b', '697f19af3b7bb831', 'a514bcc8aced0356', '031ca18c9472f03e', '85d089291fa710c5', 'cc44fa522a2027be', '06664d17c613a563', '5d64ba6b134fb834', '551c02958152377c', 'f51137376d99b7c0', 'e26035577b7e94b8', '2cdeb22866bd8b89', 'f0e3087ed60f8e68', '1589d2164305202f', '53e9f13ccdca849d']; context = [[32, 59], [29, 59], [100, 129], [12, 42], [12, 44], [38, 68], [29, 60], [8, 41], [2, 32], [50, 78], [32, 65], [35, 68], [0, 27], [40, 70], [30, 59], [71, 103]]; loss = 0.029090 low_pass_filter = 0.300
+Epoch 0: | | 4959/? [48:35<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000, ltrain step 4960; scene = ['8068133ed588228e', 'a3cf2c1a182a2d0e', '26e8ba5de6755f12', '488f39c1a5278615', 'cbbd98e0f99af188', '8c311d826f923a77', '1fd4fba41c85f3c9', 'f00cff8f4ae371a4', '29ad7f2d5b0f798a', '53b0a4720f4912bd', '9f655edf6923e6cf', 'a97eef4d4e9f345e', 'd12ba3a2ac78cfb6', '7c6d4de848377911', 'd36fc8d3f149522a', 'c047d0dbbfde98e4']; context = [[74, 107], [57, 88], [42, 74], [152, 184], [7, 39], [59, 88], [67, 94], [26, 54], [31, 61], [149, 179], [16, 49], [11, 38], [13, 45], [29, 60], [148, 179], [162, 191]]; loss = 0.028077 low_pass_filter = 0.300
+Epoch 0: | | 4969/? [48:41<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 4970; scene = ['bdd954715536117a', '3c9eaa243c502c53', '3e3fb6f137b8aeb7', '98b44ebdf2f794db', '623b9c6047c40a86', 'f61d7b73c1641023', '1c8f2370f5f1779b', 'b154fa1c937ebe3c', '1763de5053513f19', 'fc31902e9a98a596', '2646d83461154ec3', '3642e6b9f4c5dd9f', '67e22aa65b4f6788', '8462eace660f43cb', '423f10ac7cd3488d', '225ec5b5ad4348ee']; context = [[38, 68], [82, 114], [42, 73], [2, 33], [229, 259], [52, 84], [10, 37], [27, 55], [22, 55], [7, 37], [11, 40], [21, 49], [13, 45], [33, 65], [43, 70], [27, 55]]; loss = 0.023016 low_pass_filter = 0.300
+Epoch 0: | | 4979/? [48:47<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 4980; scene = ['5958daa0530a7150', '5f64d96ba85989e5', '76780f3faa6948a6', 'b39aa70a6f60cebf', 'c7f8b0aa62eb8ebb', '29e050fdb8e9c055', 'fdaef267e08ef3aa', 'a0d754b3444c1387', '75683a7321d37b6a', '9a7d3e73531503db', '03ede33559dd7c37', '242682f8f23d3789', '435cd0828f4b7049', '7cf21066c804ef72', '1efaca80ced33dc1', 'b41eb8e15796f76b']; context = [[54, 81], [23, 52], [19, 52], [36, 66], [48, 75], [220, 248], [186, 215], [14, 43], [12, 42], [22, 51], [41, 68], [158, 188], [22, 54], [149, 181], [10, 40], [71, 101]]; loss = 0.024774 low_pass_filter = 0.300
+Epoch 0: | | 4989/? [48:53<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 4990; scene = ['fd9a558bca043974', '0b49ce385d8cdadc', '107d979e758b8ec6', 'ad54d706cf223a25', '0bc8cc9ea82a89cc', 'b1a53b2f0ca30ce5', '50ee87260cc88f0e', '580ab276c4a72feb', '7f50766e4ef0d24a', '4183dff8cb12644d', 'c9b6da2e91b97069', '1ba1898ad4f268ef', 'ea9bb07d43b25381', 'a5e7bac0c5ec864e', 'c7645cce7e407723', '276ef580c7b5ee73']; context = [[22, 55], [150, 181], [25, 58], [217, 249], [65, 97], [62, 95], [8, 37], [32, 61], [32, 62], [18, 45], [33, 65], [131, 160], [82, 112], [19, 51], [12, 43], [0, 30]]; loss = 0.037589 low_pass_filter = 0.300
+Epoch 0: | | 4999/? [48:58<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 5000; scene = ['25ac9afd10569fe4', 'e38f15b65f706f6d', 'cf5a161998d0582a', 'f45e85f0d9125073', '2a8b384c5d8cec5b', '13b32cb917dc8b6e', 'e85527fb695d1720', 'cc48d6225f69d9a2', '04efda28f99826d2', 'ab5ccec0f5c696d0', '86706e7bcff2d9bb', '7971e8a6e8b14bce', '9a998c8153192ddc', '3cdd1f0cb282e9cd', '57d70928e32ad9a8', '83b8d48dd4198ada']; context = [[69, 99], [59, 92], [36, 63], [2, 30], [60, 89], [7, 38], [33, 61], [90, 120], [17, 48], [65, 93], [229, 259], [11, 39], [13, 41], [2, 29], [24, 53], [56, 83]]; loss = 0.025398 low_pass_filter = 0.300
+Epoch 0: | | 5000/? [48:59<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, lvalidation step 5000; scene = ['70b0a33083333dc9']; context = [[38, 71]]
+Epoch 0: | | 5009/? [49:05<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 5010; scene = ['b35d918ee69ca3c9', '6211cc59826a08c6', '66c9da321fec37e3', '0421d47aa21b434e', '4559590a2c0b1df9', 'b35fc876ab421657', '1235f358f02dac9b', 'd33ef7d9fb847cba', '831a12623640cd0b', '870061830cde2de8', '1b4565727fb57d9c', '740305794ecb7fab', '1590a87dc2447f1d', 'a9da01afd674bd99', '985af15298bdcea5', 'abcb5c2256d21be9']; context = [[33, 60], [119, 151], [126, 159], [11, 42], [112, 144], [70, 97], [203, 234], [77, 106], [8, 39], [92, 122], [15, 43], [28, 57], [106, 135], [239, 272], [174, 204], [44, 76]]; loss = 0.026007 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 5019/? [49:11<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 5020; scene = ['9dfc77c50a277b26', '1e35a6338c690b52', '17c8fa24f6bd1331', '71a809cd91421efe', '9753fb68129f08fb', '87cb9d4f76202c06', '7af9262f51a0c90f', 'c18714d6ce93fe34', '8e034eff07ef1378', 'b536cdfe01bc746b', '2037fbc4426b2cf9', 'bf4f6a21b10ac664', '35170436ab3783da', '8fa46e09f2f6f27e', 'df313718f3e58821', '201e4dfecad1491e']; context = [[51, 82], [45, 72], [4, 31], [28, 59], [186, 219], [17, 46], [206, 239], [168, 195], [92, 119], [1, 34], [3, 31], [46, 78], [18, 51], [87, 114], [55, 88], [1, 29]]; loss = 0.028423 low_pass_filter = 0.300
+Epoch 0: | | 5029/? [49:16<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 5030; scene = ['f6066db31c658d1a', '67985c404f000727', 'ddd2fd3db0b2197c', '631cad8b289f732f', '3bff367484a62a13', 'e6ad4c3c1f32432d', '9741eb65c3d6d1b0', 'd8dbd08c09ba8f8f', '3f7d83f0293a8c41', 'cc41785bb192e1ac', 'ca438a6ab2eecee5', '0ec442f13aa4fb20', 'b95e6b68ef7095ae', '8798a3a125598ba8', '45cf7b4826be3134', '3bf83c412718628a']; context = [[15, 42], [11, 44], [38, 66], [10, 43], [59, 92], [53, 81], [216, 244], [15, 43], [6, 34], [78, 108], [26, 53], [4, 35], [6, 33], [65, 97], [107, 137], [8, 41]]; loss = 0.025418 low_pass_filter = 0.300
+Epoch 0: | | 5039/? [49:22<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 5040; scene = ['83f9d8c6d307248a', '55bf44ae6e9fdee5', '24cf93a2d2d5d464', '24f96b776969ec93', '203a5fd3a45ac4a7', '8331d9c0babb8c1b', '2468133d68c5d533', '7718b6a417bc4892', 'dc00d6955676c5ef', '0c0b98f2b5ef84e3', '5624dc46b3a25203', 'fe2b27b75b492744', 'f248e7fc45f1d3f6', 'd23ed015a12e7251', '0365970d6438b5f2', '220a754928cf7f7d']; context = [[19, 50], [79, 110], [118, 145], [10, 40], [84, 117], [66, 98], [35, 65], [41, 73], [0, 29], [22, 53], [61, 90], [39, 69], [17, 50], [54, 87], [24, 52], [25, 56]]; loss = 0.026164 low_pass_filter = 0.300
+Epoch 0: | | 5049/? [49:28<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 5050; scene = ['049881f24130be4d', 'bda91c06a62bfe98', 'f5df6b58698fbb00', '2c7be9cd3e8976e0', '9893aa24dc5520de', 'ffa9aa966395d597', '85b4f9edc063d561', '3f34a2fde1dba33e', '4eaa050f778251c4', '1309da52b4486694', '039b5b2cd21d498a', 'b4282b7e10a6bd17', 'f4381d9eecec9e88', '4580603f48cbac4a', '8769f0f6650d769d', '9f4853c826cd8e0f']; context = [[1, 29], [62, 94], [9, 42], [68, 100], [29, 60], [61, 89], [137, 168], [17, 49], [69, 97], [108, 139], [61, 93], [234, 266], [43, 76], [17, 47], [18, 51], [0, 28]]; loss = 0.028399 low_pass_filter = 0.300
+Epoch 0: | | 5059/? [49:33<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 5060; scene = ['c7b3aa2e12059b7a', '4dafa4ee650d16cf', '752724fcd4a2061f', '9327aeefffa14a4b', '26813cb5bfb272bb', 'a76c40c96098b63d', '530950bcba399bd6', 'fef1f05c626f4caf', 'fa6e6f9c34048dba', 'dd5f3dd699d98e69', '3b41f88987077308', 'a910f8752165735f', 'c6f4cc113de27e8b', '54e9564d27d9a312', '8aef911b31bd5273', 'aac8d0a25bc8e61a']; context = [[6, 35], [134, 161], [202, 231], [99, 127], [151, 180], [9, 36], [63, 91], [12, 45], [32, 63], [29, 62], [53, 81], [37, 68], [105, 138], [61, 88], [40, 67], [10, 38]]; loss = 0.023526 low_pass_filter = 0.300
+Epoch 0: | | 5069/? [49:39<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 5070; scene = ['b0b372ac64a28928', 'bfd08d4d51f0a055', '582b5253fe22067f', 'ac7dc6792b6062ba', '4c6983bd3211792d', '97b724d2bcdba3ca', '05047cdca9669433', 'da6bfbd9e35142fc', 'df8de2e508f40cc1', '2dce89a97b7df3f4', 'b3019d4573e524f7', '7b62fb3c45fc7d30', '4a756a58d9ec5d9e', 'f9f0b8d2cab24650', 'f7bb1f4325835c79', '9e347718bede110f']; context = [[35, 62], [222, 249], [68, 95], [163, 195], [46, 76], [102, 134], [0, 27], [124, 157], [1, 29], [121, 148], [28, 56], [25, 52], [10, 37], [106, 138], [13, 42], [1, 33]]; loss = 0.027579 low_pass_filter = 0.300
+Epoch 0: | | 5079/? [49:44<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 5080; scene = ['83c67cfbdc88eb0a', 'bab800a2ec170417', 'e132b44474d468dc', 'bf7037e18e37df78', 'ea57baab120b0c2c', '2bd3f619c5bf7b2d', '74a90325131a0f83', '5c9bcde6b68f0f13', 'e2f58ba752660105', '1c1e1bf5171d6086', '7b5264196ad7f9ba', 'c9e42064c970658b', '9cf508ad69e9b1b7', '9d1bd0ca8d1ba0f6', '07a9c6695d47bf55', '8620f4cd02c48617']; context = [[76, 106], [125, 152], [37, 67], [29, 60], [6, 37], [17, 50], [46, 74], [199, 226], [64, 91], [136, 167], [78, 107], [13, 46], [124, 152], [0, 28], [26, 57], [23, 56]]; loss = 0.026756 low_pass_filter = 0.300
+Epoch 0: | | 5089/? [49:50<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 5090; scene = ['3e228d07ae6f8c54', '215eb0b87decb587', '75b018db77600c92', '1fb9683df0428231', '9846f3379c2b8fad', 'd7adc331c74563b7', 'cc64c0f4b6918914', '993f5f375f822648', '882182e89dd66eed', '3c2c6247ba2354fc', 'd94eba604f88e9c3', '6c432e8c95774870', '8ea56bfe40784cf0', 'ba76bd997075d586', 'cb24af0d38869d52', '450fa68d31194b5d']; context = [[2, 33], [33, 61], [32, 60], [37, 64], [93, 121], [71, 102], [81, 113], [80, 113], [13, 45], [20, 50], [57, 89], [11, 44], [41, 74], [34, 66], [8, 36], [83, 114]]; loss = 0.024390 low_pass_filter = 0.300
+Epoch 0: | | 5099/? [49:56<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000, ltrain step 5100; scene = ['3bbe67a40f903aa2', '760b7d4422f20505', '57175f0ed3caaab0', '0cffc79651746ff3', '67d16839b730d140', '3241185f253cbefe', '695a0b84b4897787', '7422ee93f21a3447', '666bc6592852466e', '8a04484039596f79', '4a63558a9d7092e3', 'e2dcc1004ef5eb8c', '913fb4d757212f2d', 'b33a29e1340cb581', 'f7e30aedb1da3cb0', '5c6f91cf582708ed']; context = [[48, 78], [152, 180], [36, 67], [92, 121], [0, 28], [48, 79], [57, 90], [45, 72], [8, 41], [6, 39], [18, 45], [166, 193], [199, 229], [46, 79], [18, 50], [36, 63]]; loss = 0.029293 low_pass_filter = 0.300
+Epoch 0: | | 5109/? [50:02<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 5110; scene = ['30aee98670108feb', '4fcfd03c65294627', '02cea6edb1b588e6', '89ad475d12af1821', '16bc7d9ec2bcb3a7', 'e76a0364d7a3783e', '402824c5c52ea618', '1b618cdc14c2610c', '5efa48d2d69d3a28', '55ed6b10abda068b', '7f7eb55d1d688772', '69f2f84e900e2242', '2f6304f4aea49924', '4d4171f84048fcc4', 'b54fe52843e0eae6', 'f6992bbdedd040fa']; context = [[3, 31], [94, 121], [56, 89], [108, 137], [43, 70], [12, 39], [213, 244], [21, 52], [26, 57], [75, 108], [188, 215], [240, 268], [46, 76], [20, 49], [40, 67], [122, 149]]; loss = 0.027921 low_pass_filter = 0.300
+Epoch 0: | | 5119/? [50:07<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 5120; scene = ['201f15a82f1a6420', '1751cf595b735b68', '4af1f17f12d4e92b', '84c7bdecb993937c', 'e759c9dbca6a0818', '359ef693ed153386', 'b856c67d256f6953', '65821ec8f6870396', 'edcaf729239e0b9a', 'a89f8c7fe80f98fe', 'aa657e100b8527f7', '318d20fd78d7b165', '14f431bca6f79d3b', 'ec4619c9a04ad474', 'd1b677821157bbd7', 'd5a9be470293e204']; context = [[10, 43], [4, 34], [40, 70], [11, 40], [79, 109], [2, 31], [42, 70], [0, 27], [35, 64], [40, 70], [40, 69], [89, 122], [28, 55], [30, 60], [13, 46], [108, 135]]; loss = 0.033656 low_pass_filter = 0.300
+Epoch 0: | | 5129/? [50:13<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 5130; scene = ['9eb7a732f0b74d75', 'ff31f02ee05a3a81', '8159e703d5592c06', 'a96317dd55e483e3', '14d89e024187afdb', '5addef32e61e7498', '3a4fb93324c90edf', '6155643c15b60b3f', 'd11ea8e22f0cfdfa', '70302975bde04daa', 'c3717b9f586069e4', '35566e51a143cd1d', 'afdd7c99c134261d', '2aa6f67ade1bfc88', 'ed7f0ab3fb9cff25', '7d6513e9e60673c7']; context = [[152, 184], [14, 41], [2, 31], [123, 153], [39, 67], [29, 58], [48, 77], [12, 43], [26, 55], [96, 129], [201, 234], [70, 97], [27, 55], [50, 77], [8, 39], [4, 37]]; loss = 0.028578 low_pass_filter = 0.300
+Epoch 0: | | 5139/? [50:19<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 5140; scene = ['897833644315de41', '8252a11a943f64d7', '2d9ad09dfbbccc5f', '4cd3e0c8f6a3b954', 'a83f3746a11e572d', 'd19952203c1188e1', '41258160de3b9847', 'e96a40a434e0b83c', '3a7ec402de14a010', '2ba4ac8ad33f2604', '1b96b29b59396413', 'ba232d0f3f503f0f', '6c86fd352266b6f4', '7570e1000b6f66a7', 'c7b3620b618be980', '22c80320c49a62a6']; context = [[66, 95], [125, 155], [196, 225], [120, 148], [8, 37], [34, 67], [6, 38], [62, 89], [27, 60], [134, 161], [51, 83], [16, 44], [183, 210], [2, 29], [47, 80], [5, 33]]; loss = 0.022460 low_pass_filter = 0.300
+Epoch 0: | | 5149/? [50:24<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 5150; scene = ['5633a361f38d251b', '40a3d9a13d9ac652', '9cd573a09adcac51', '8b43ca18bba45f5f', '57c99af21b6e625d', '5ad73cddda52546f', 'a08ff72bb7ee8769', '30535c5c88e231a2', '98674b49a4b7994b', '9850055eb75d9e9c', '7bb67f408e65d160', '84d709a32b16ba1c', '24da1bb7bc49f98a', 'dd0dda5b021333f1', 'cb979847cf756e36', 'd7bc9b74b15143c1']; context = [[24, 54], [28, 59], [65, 93], [18, 51], [44, 71], [11, 38], [54, 85], [11, 40], [35, 64], [58, 86], [120, 149], [21, 54], [6, 38], [187, 217], [52, 83], [14, 47]]; loss = 0.028343 low_pass_filter = 0.300
+Epoch 0: | | 5159/? [50:30<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 5160; scene = ['bc72d42a14994709', 'bf15144c156af1aa', 'ffbd661d3229b4cc', 'f2fc0f05c9df5be3', '38b3ab869b752c37', 'f0ccf566e933138d', '0d7c8f3488ff8d32', 'f6992bbdedd040fa', '76863e3d95c8efaf', 'dfdfc2a9de870616', 'd21e2fe8ccd0339c', '032c4532de6a859b', '6ac17c3b90486c36', 'bb8d200a7e3e424c', '8539281bf2d95806', '24796eab91d76073']; context = [[45, 76], [25, 57], [37, 65], [40, 73], [87, 116], [204, 233], [10, 40], [142, 170], [30, 62], [29, 58], [51, 83], [120, 150], [49, 82], [163, 192], [176, 205], [60, 89]]; loss = 0.029661 low_pass_filter = 0.300
+Epoch 0: | | 5169/? [50:36<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 5170; scene = ['6b88ed77e287df4d', '638d352a194d1acd', 'c505f66cce14d75f', '010571c8c397a29c', 'fb4346a6849d5886', '4f1be8aaa56444b5', '457bf2a6a77fda7f', '8764351a0a93925c', '52b1987a8f553c00', '16fa6c2a59103bcb', 'e84e95938d3c87c7', '811edab8b5afc0d2', 'c225ee2119a2c493', '670c5094bc0b1e7e', '4bb7bdad7604472b', 'cb7c62276cf4c7b9']; context = [[23, 51], [9, 41], [31, 62], [94, 127], [67, 94], [76, 107], [221, 249], [197, 226], [26, 54], [9, 42], [19, 50], [21, 48], [235, 265], [25, 54], [30, 57], [101, 133]]; loss = 0.026936 low_pass_filter = 0.300
+Epoch 0: | | 5179/? [50:41<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 5180; scene = ['bd8d3f1861372fb8', '6466dd709ba4f21a', '7ca3afb0c40801b3', '4fcb9b17624fcfed', 'a3b640560aacd187', 'c9ee1faee53b3457', 'b9308212e5df6f26', '7016fc88f085f2bd', '3a3123960a5b3070', '4a36de0119c93c8d', 'bc38d6696f19b9f5', '2422896efc729d12', '2b51afd20f93fbb3', '2cedb207ea3ce853', 'fb9c7ba5d2ee795f', '314588c4ee5d31ac']; context = [[39, 67], [75, 105], [28, 56], [76, 103], [67, 96], [196, 228], [25, 53], [114, 143], [29, 61], [15, 46], [70, 102], [26, 56], [96, 129], [37, 65], [214, 245], [180, 210]]; loss = 0.023920 low_pass_filter = 0.300
+Epoch 0: | | 5189/? [50:47<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 5190; scene = ['3da81d175b38988f', '3d7564005d3deb83', '17a95da0447e96a1', '2fcc906ae5455d35', '1c3d7dde3614506d', 'ca85fd3a928e9b3b', '599f891b99305a6e', '65e77aed6557394c', 'a7d126743702556f', '4714e4012c55f466', '5ed97c63db29a026', 'ce56fd4667f845df', 'b96d03ef450db8c6', 'c3cec39b97315eef', '9c350ab081d20885', 'ca7a9b0af8757d37']; context = [[11, 42], [28, 59], [30, 63], [73, 101], [24, 54], [68, 100], [90, 117], [74, 105], [60, 92], [21, 49], [36, 64], [10, 38], [101, 129], [30, 61], [9, 42], [62, 92]]; loss = 0.025478 low_pass_filter = 0.300
+Epoch 0: | | 5199/? [50:52<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 5200; scene = ['f36afd2815e5c749', 'bfde7f58848d4403', 'fba24b33eae5d387', '0eae94f75a1d9b6d', '5d217b6f2d5e1943', 'b1054c0b1821e5bf', '1f0cab6463145841', '847b7d96b0c6a961', 'c205af61996dbdcd', '9373238177cc285b', '1711420f306e72a1', 'f4e0494d0f54715f', 'a9a937c97ed274a5', '4d30a364453937e2', '6ae1434f2405cd0f', '9bd74bbfea66a57f']; context = [[76, 109], [48, 79], [19, 47], [13, 41], [97, 127], [5, 36], [68, 100], [36, 67], [55, 88], [32, 65], [129, 158], [31, 60], [12, 45], [0, 31], [27, 59], [4, 35]]; loss = 0.023724 low_pass_filter = 0.300
+Epoch 0: | | 5209/? [50:58<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000, ltrain step 5210; scene = ['359152220eb1d27f', '971d809e24db453f', '89eae766d1dfa570', '75e17a6b7ef5f77d', '049637262aa9a03e', '2e559f8f3a616aaa', 'a4e2964058d85f34', '1a85cec942246c96', 'b78214a799408691', 'f6e701bd222dd505', '08e11b45c331ea9e', 'c762c950834c690a', '2e23dfa9044cec15', '084ecb5641790e02', '8293c91c983ffd04', 'e7ed95d934000bc7']; context = [[0, 32], [40, 67], [39, 66], [7, 40], [14, 42], [11, 42], [157, 184], [22, 52], [29, 62], [90, 118], [6, 33], [14, 47], [9, 41], [45, 76], [147, 175], [17, 50]]; loss = 0.024371 low_pass_filter = 0.300
+Epoch 0: | | 5219/? [51:04<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000, ltrain step 5220; scene = ['faf27a24003c7212', 'c380f54aaaa59131', '8a797b1368e908b3', '729746e12579bb8e', '16b13c6c0948d0bc', '38f8dbde5252ee9d', '46392a72b973aa24', '897ac50a2586050d', 'bf059ef6cf1dc8ea', 'baf899bcd7c0e9ad', '1ca6a26dd235eaa1', '91394c60d995da03', '99f75cdd3d2548d0', 'edac89ad8a0c5857', '6b44fe081be25a0a', '1c9654a2caf88edd']; context = [[36, 68], [1, 32], [74, 106], [21, 54], [185, 214], [15, 46], [0, 27], [28, 56], [1, 30], [8, 39], [2, 34], [47, 77], [5, 36], [31, 62], [10, 40], [5, 34]]; loss = 0.026091 low_pass_filter = 0.300
+Epoch 0: | | 5229/? [51:09<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 5230; scene = ['88d97afc8d56bcec', 'dd0787b7843081d6', '742b3562c7150ed5', 'e05be237357b2b8b', '6bbf7a220517735e', '2538837da46e96ef', '66b341864188182e', 'a11a6794ec0ca556', '2fd0913e6db5e6a6', '8ca0beb765f623a1', 'b3ae46c3cc599471', '081b5e17550df8d9', '35a2c80839ed1a83', 'e0922bb28274f223', '84c0a472c03a9f97', 'a28d65a18a216b81']; context = [[107, 138], [2, 31], [59, 88], [169, 201], [9, 41], [80, 111], [45, 76], [6, 36], [65, 92], [61, 91], [24, 58], [130, 161], [25, 54], [63, 94], [1, 31], [30, 63]]; loss = 0.026838 low_pass_filter = 0.300
+Epoch 0: | | 5239/? [51:15<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 5240; scene = ['38907717de8a51d4', 'e2c5880586482c79', 'ecc5ad88a899700d', '17ccb96aabde6325', '6119e40a4a8af264', 'c52ec198e32186a2', 'd33fd80a4959b66c', '23a8336e10f134c0', '4f83d78089ea24e0', '9f279de3703b6e78', '9db71baf54bb23f8', '6623c3822241dace', 'd35e90f8cb411c35', '5917b96d69b60795', '3fbb0670a23bf050', '4538a4e738f84589']; context = [[18, 51], [141, 171], [77, 109], [35, 68], [40, 68], [56, 87], [37, 66], [15, 43], [131, 161], [15, 43], [0, 28], [210, 237], [165, 198], [58, 90], [170, 201], [32, 62]]; loss = 0.028415 low_pass_filter = 0.300
+Epoch 0: | | 5249/? [51:20<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 5250; scene = ['c2ca510a4a1617f2', '8730a68b24c3678a', '328f4a1bb0f7419b', '24668195926b0c91', 'e2151e6bf7f90731', '0ba56b76de23eac4', 'cae09ec1d132c91a', '2a64843febb83d4b', '1f5c02c6a447177a', 'bfe6277ea60796e9', 'd8fdfde86920c2fd', 'cb8ed23005fc6250', '1cf67dcee73f1c6d', '430dfe5186b29458', '458cc2ea856b801e', '4e94ba0878d533df']; context = [[217, 251], [74, 102], [28, 58], [117, 149], [32, 61], [67, 101], [9, 40], [54, 82], [120, 152], [24, 53], [34, 67], [34, 67], [160, 194], [34, 66], [29, 58], [65, 93]]; loss = 0.027082 low_pass_filter = 0.300
+Epoch 0: | | 5259/? [51:26<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 5260; scene = ['3d7a2c2784fc6b82', 'e204af0947f704ad', 'ebab00ac8428f90a', 'f77ef6219492d962', 'c5b4562390525d10', '48adcbe14fd0c2de', '58a049a2126413d5', 'b717982b09bf39ae', '0d761037ac522e37', 'b6c0e6f14e4623a2', 'f03736ab404d7edc', '874ae5bbf80a7680', '9073dcea9a40f6b7', '5ce5dbe66bb342a1', '2c2621b96be3ce8b', '1f7f35488598665a']; context = [[16, 50], [178, 208], [125, 153], [5, 36], [33, 64], [8, 38], [126, 153], [101, 133], [45, 74], [222, 250], [4, 35], [20, 49], [100, 128], [16, 45], [6, 39], [139, 172]]; loss = 0.027678 low_pass_filter = 0.300
+Epoch 0: | | 5269/? [51:32<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 5270; scene = ['de325a80c227d153', '9379827756f6a6ae', '4de8ddccf7eee0ba', '18060d9b9389cd2e', '693058564e542cee', '7f514243a8e4b551', 'd79b8c2b038b19c8', '06f886c287ca0a8b', 'a8cf212b0fb057d6', '87caa7fabb8a269d', 'f587a7ebbb97a612', '072f50455d057a0c', '821d5ef18fdd7d57', '388a0ff44b0bd8fe', 'c446b96bebfa9030', '462b9d3980d9db1b']; context = [[100, 128], [86, 118], [21, 50], [43, 73], [31, 62], [107, 134], [27, 56], [3, 31], [25, 54], [20, 53], [93, 122], [41, 74], [76, 106], [20, 49], [60, 91], [37, 66]]; loss = 0.028119 low_pass_filter = 0.300
+Epoch 0: | | 5279/? [51:37<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 5280; scene = ['7a7df9c63b3e71b6', '00b31f903ceb11a8', '4e43f52092ef6306', '1157e06fc0b745b3', '7374cc80de8a5479', 'b6cbfa38f1a43a2a', 'd992b7126745f2ca', '83ad0bcf3fa261a7', 'a5207b8d6b307bab', 'e482986b21210c55', 'ca944899e14d4799', 'f4f6fee80c36721e', 'bb320dd4e0d86efa', 'efb51a3671f927f6', '181c6124dfe721de', '8aa48e9505a71090']; context = [[33, 67], [7, 39], [158, 186], [56, 89], [55, 84], [9, 42], [129, 156], [15, 45], [95, 123], [160, 192], [8, 36], [211, 242], [6, 35], [88, 115], [21, 53], [5, 33]]; loss = 0.023006 low_pass_filter = 0.300
+Epoch 0: | | 5289/? [51:43<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 5290; scene = ['ec7ed53eb54e78c7', 'f9103aed764ea89a', '6c80a41558b9ec47', 'c119dfc3c340da8f', '6789b17ebe4606cd', '12e0d4265e7789b4', '824a7bbb922965f5', 'f6a0556897b15d6b', '1c30239815f91334', '053e55bc3666cc69', '510c5beb7e6a13e2', '2a9baa599c00613f', '0a91685401b56e22', 'aa7d34a0930aaed6', '8410b8c23b2c737d', '29f66f7d00d5a958']; context = [[12, 43], [24, 55], [3, 30], [143, 172], [55, 82], [61, 88], [27, 54], [7, 40], [205, 233], [30, 58], [5, 38], [24, 57], [42, 74], [4, 35], [9, 39], [66, 98]]; loss = 0.026281 low_pass_filter = 0.300
+Epoch 0: | | 5299/? [51:48<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 5300; scene = ['2bedb36d46b659f0', '9ffafe5ae44cb7e6', 'f897471b84a227ac', '63a996159e780e13', 'bbf8fe89da545493', '7ef8b861dca2e6b4', 'c63ba33b6c9272bb', '4a180fd9466ebe60', '4fdcea4567daef29', '3c22f5ef87b3e64a', 'c2fade5ac6e887f0', '056d2ba0e6fd8999', '2484419f2f1e653a', '013592eaaecbccad', '0a17490f497bd40c', '5507d4e82ddb2357']; context = [[21, 48], [114, 148], [27, 54], [2, 30], [11, 41], [15, 48], [75, 103], [32, 66], [137, 170], [1, 33], [56, 83], [55, 87], [83, 110], [14, 45], [2, 35], [9, 43]]; loss = 0.025045 low_pass_filter = 0.300
+Epoch 0: | | 5309/? [51:54<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 5310; scene = ['733302d441595cb5', '040d00bb80671855', '6b2eb16cce8db3ab', '2cd96986ebf06957', '876a778fa507f286', '2cc47f5abe271aab', '2243fcc1f63bb6ac', '9589cc353d014ba6', 'bb80f7a48ed9c0a3', 'd634cf82d36cc569', '5450797888dcd06c', 'aa3fc2c24b0502af', 'b0a6f8dc91bf958d', 'f5bbbd8eae49d50e', '348b1e8ab15f2c59', '20834d8e45bbdbb5']; context = [[104, 135], [36, 70], [34, 66], [52, 86], [80, 114], [78, 106], [119, 149], [49, 80], [13, 40], [136, 169], [27, 54], [34, 62], [48, 81], [83, 113], [2, 33], [178, 205]]; loss = 0.026227 low_pass_filter = 0.300
+Epoch 0: | | 5319/? [52:00<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000, ltrain step 5320; scene = ['26f14525b77ae661', 'a0867ed5680ab015', 'ce889e4a64d027c9', '05caea054b89afc9', 'dc39348fdad696f3', '76e3767736ea1fcb', 'dfce5eefef18f037', '9508bbadb133599f', 'bc3e84661532f610', '893631aa1120f800', '44020f34ef2803bf', '0a8e2e73b0a0ddeb', '07c6818a3a353dd8', '6903e917c5bf1c37', '7a91beed3bf01666', '8a18a357d2f58181']; context = [[46, 76], [26, 53], [10, 37], [62, 93], [22, 53], [15, 46], [64, 98], [66, 99], [31, 62], [3, 34], [31, 61], [82, 113], [223, 255], [25, 55], [9, 36], [8, 36]]; loss = 0.030103 low_pass_filter = 0.300
+Epoch 0: | | 5329/? [52:05<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 5330; scene = ['915eb91aee459280', 'c82fdd33839610f6', '5815312ac729bddf', '1e387282c09f38c9', 'c89a6efe4e3459d2', 'd50e7c48f102d70e', 'e4e8abeacac64ee9', 'bbec698826707bcd', '0ba78320121c79fa', '64b7578093d63639', 'de50a9dcf012713e', 'f12ad81cca298e1f', '49a315c35c0b6fb2', '8f8ae0369af39264', 'bcd7ca7e2fd57cc6', 'a2dbfc443c201a0a']; context = [[43, 70], [40, 72], [4, 38], [46, 77], [40, 72], [5, 38], [153, 184], [30, 64], [1, 35], [39, 67], [153, 180], [139, 173], [10, 39], [15, 43], [24, 56], [122, 150]]; loss = 0.027667 low_pass_filter = 0.300
+Epoch 0: | | 5339/? [52:11<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 5340; scene = ['300d1b567d51caba', '2e479bbb58d5b892', '88261e13957b0e4e', '59519a9cb72ca3f6', '9b916b164d618877', '14baf51ec7108b5a', 'cd55198f7d14cc0b', '25c139a516594699', '92c2b94a7a82af88', 'ff1b18892d833bd5', 'fba183cb9a4d4111', '7e800851a834b6ba', '1d4b5d6f1f708dda', 'a7292cb341621b8d', '3c4b99bef5d8b14d', '2169964b451800bf']; context = [[65, 97], [13, 46], [63, 90], [26, 53], [61, 95], [78, 107], [51, 82], [70, 99], [18, 47], [21, 48], [8, 41], [22, 56], [62, 89], [150, 179], [84, 116], [51, 78]]; loss = 0.022940 low_pass_filter = 0.300
+Epoch 0: | | 5349/? [52:17<00:00,  1.70it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 5350; scene = ['37f89e9397fcf138', 'e49aa75fa0bd7986', '7db28b8c9deb77cc', 'cd3d777d0d1edb8b', 'f4f7ba71d2da6fcd', '19e3c281465fb562', 'c3edf21323a1d24e', '655505b3d15f6b6b', '40aff09bb1db0174', 'f78c2005ec943a78', 'f1c8dd3eca2368c8', 'bdde1dd25164dc84', '28e273483a56fa47', '08c2813dd40cc55e', 'eb75a65668cda3ca', '2c6682e7b1e7b23a']; context = [[54, 82], [27, 59], [222, 254], [99, 127], [138, 170], [79, 109], [197, 226], [236, 268], [34, 66], [61, 89], [28, 58], [103, 132], [55, 86], [121, 149], [79, 109], [4, 35]]; loss = 0.025597 low_pass_filter = 0.300
+Epoch 0: | | 5359/? [52:22<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 5360; scene = ['7090f32f4f8d4f66', 'a07ad67e90a850d6', '1db30a541e4631c8', 'ab895ad7d4ab2024', 'fdb2dcdaf08bcf23', 'db5d3693aad765cd', 'f6ebe060ddd2c379', 'b86e04af018970b9', '657d182078d67346', 'b1d86a9f37d6f632', '20e541000529f09d', '4a522e3328a9050a', '47ab97a9ba811934', 'ed1a39301382b5fc', '8b17869b1b2d948f', '174345fdb4745da3']; context = [[80, 113], [18, 48], [82, 116], [108, 141], [24, 56], [60, 94], [12, 44], [24, 54], [102, 134], [11, 39], [24, 53], [55, 88], [46, 74], [77, 111], [6, 34], [0, 31]]; loss = 0.024964 low_pass_filter = 0.300
+Epoch 0: | | 5369/? [52:28<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 5370; scene = ['6de77e779e3b977a', '861ffbadf2fecc2b', '7c77209bcdb947ea', 'fdaecc84a49d703d', 'f584eec81d207e79', '16105e16e5ae0711', '6cafc45d3d424829', '61dd5711d9f34a58', 'f27e91e65e423f6f', '71f49d6c57da2444', '4dcf2a5e3020a734', '3c3f0e66155f5e99', '70974941f78d84c6', '62a3405c56eb738e', '039f60e42dce9e90', '040c698e24e08ed0']; context = [[48, 77], [49, 79], [63, 94], [64, 95], [32, 64], [12, 39], [86, 114], [8, 38], [58, 87], [37, 70], [53, 81], [78, 112], [97, 126], [43, 76], [1, 35], [32, 59]]; loss = 0.028161 low_pass_filter = 0.300
+Epoch 0: | | 5379/? [52:34<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 5380; scene = ['3a7fc266b6c29620', 'e67f3603886457b3', '7c176d9aef38ada9', 'eb2b2c9b2fbb446c', 'a2b2171d8e2e5a06', '758ae82607fab1cf', 'a5f88d386483e9c2', 'df54544af0cb2814', '208e267f234ea686', 'a1415a510f57cd5e', '0956329fc4d362a7', '9ab9a834066a3287', '2889424e1627e36e', '97bc9f9fd9f493e5', 'd8e1f8ca9a8f6d75', 'c69838b39a586dca']; context = [[0, 32], [137, 171], [62, 92], [51, 84], [21, 55], [85, 112], [171, 202], [33, 61], [13, 40], [53, 87], [25, 55], [3, 35], [99, 132], [43, 70], [11, 42], [90, 122]]; loss = 0.027007 low_pass_filter = 0.300
+Epoch 0: | | 5389/? [52:39<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 5390; scene = ['9eb7a732f0b74d75', '555e5c2ddb1f095f', '8159e703d5592c06', 'ff31f02ee05a3a81', 'c3abbc91e63d0ec0', 'a96317dd55e483e3', '28039ea78b84ff46', '85d5c64669a83b40', '581515abcd09a7f5', 'dcda03cf03c7c287', '2ff7da19974fe593', '8438f949cbd62c23', '04f090fd282ec1a7', '6ab869711e65a527', '41905c60a21ef567', 'fc6f10f3b8a73c29']; context = [[131, 163], [22, 50], [4, 32], [39, 67], [2, 30], [121, 154], [3, 30], [28, 55], [39, 68], [88, 118], [5, 32], [0, 33], [74, 108], [2, 33], [86, 116], [0, 29]]; loss = 0.025590 low_pass_filter = 0.300
+Epoch 0: | | 5399/? [52:45<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 5400; scene = ['05c6adfd0fde1d7e', 'bee0e91025c88c9c', '056f1f2bfde5fb21', '02aefe31b7a71fac', '9699b192e759c1b1', '214661ea5a7a9f72', '0378dee255b839bb', 'ad9537b068a7a2b3', '6bde4da4cdc53d65', '535befbe41a1832f', '04b3da927d89d493', '4cc2d85eb52c39a4', '6d79d1b2ebc6339a', '1b1aef5cd100d7b1', '4d2adcb584111f9d', '3fd2fbeaa6f74d73']; context = [[27, 58], [6, 35], [53, 80], [24, 51], [0, 30], [232, 264], [156, 190], [90, 123], [30, 57], [10, 39], [9, 37], [116, 147], [221, 249], [50, 81], [3, 37], [27, 56]]; loss = 0.025162 low_pass_filter = 0.300
+Epoch 0: | | 5409/? [52:50<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 5410; scene = ['88d011fbf3bbfa0d', 'e966a72e3b80add8', '640d78a72db813c5', 'e8631b8149e42ce0', '62e0ba062f947b18', 'fec4da66d508403d', '3dcd0b8aeec5b011', '82cb337cbdf0bec5', '8c00e811d3144c91', '668f8a9b2766976e', 'c8d937ad5508c955', 'f45c572485cfefde', 'f0c94e73b90ded09', '68aec1265bd68029', 'da537cd2108e4514', '7b41774e1a45789a']; context = [[72, 101], [1, 29], [26, 55], [58, 86], [52, 85], [13, 42], [119, 149], [0, 34], [58, 90], [5, 35], [47, 81], [11, 40], [110, 142], [113, 140], [97, 130], [15, 46]]; loss = 0.028046 low_pass_filter = 0.300
+Epoch 0: | | 5419/? [52:56<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000, ltrain step 5420; scene = ['e98cd164b0d0fe9b', '74765fcdcd14194e', '42fc11373e395d2c', '53f4c47036a79a64', '0f952b5f2d12de77', '8af27c723ccd5649', 'de51c7c378eb3f26', '55e8daddc05245e7', 'd578c51b5f2f2976', 'df05534dfd852202', '9db6fb7dea6b0de5', '937c5776c7311396', '40990b4eb108c003', '217b5aa939551994', '0d7d697af93bbebc', '9ef5b77b6ce7235a']; context = [[38, 70], [93, 120], [42, 74], [31, 61], [29, 56], [41, 71], [70, 102], [239, 271], [19, 53], [10, 39], [116, 146], [26, 55], [9, 36], [57, 84], [94, 121], [47, 78]]; loss = 0.029334 low_pass_filter = 0.300
+Epoch 0: | | 5429/? [53:01<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 5430; scene = ['3e7830b3da1ac210', '3bce7d9013d5b009', 'aad0b5079f1ae97b', '288ca6ac9cd80107', '3e7a048c43b4801f', '8ef0da3c9de40839', 'e3b7ad08eabe362e', '43cc177db8b56bc2', '44a38740d586c4c8', 'befde20b572df41f', '859bb0d976d968c4', 'a1e59c09aca976c4', '3d7b9635ce40110e', 'd6c25b52e39788fd', '9e1b58ec292d6690', 'ff87c19446c6325e']; context = [[75, 107], [13, 47], [24, 57], [81, 114], [6, 37], [8, 36], [86, 120], [60, 93], [5, 38], [30, 64], [61, 93], [29, 63], [87, 114], [98, 132], [94, 122], [5, 36]]; loss = 0.027044 low_pass_filter = 0.300
+Epoch 0: | | 5439/? [53:07<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 5440; scene = ['64f3dc85ebeab210', '9f7f2606c72b341c', 'd1f0ebd0c998bc9b', '68eb823dcf7a80a4', 'ec2477f0b97a9a14', '26d24a4ffa345a72', 'c122c6a6293b925a', '29083f8a2740b8a4', 'a4a8740a20b9b520', '75b28cb51ce70d61', '40b370bec84fd8cb', '150198f7793edc35', '44cd0f7c658cb252', 'c14419e33d30959c', 'e72032e8935bae10', 'a2a595d1841e657b']; context = [[72, 105], [23, 55], [35, 63], [58, 86], [32, 65], [107, 140], [6, 39], [28, 58], [65, 94], [22, 55], [56, 89], [92, 119], [23, 57], [79, 109], [42, 69], [0, 30]]; loss = 0.029960 low_pass_filter = 0.300
+Epoch 0: | | 5449/? [53:13<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 5450; scene = ['55470b75c7afb481', '1f28c177c829855b', '927a91d4f0d12802', 'a3fa9ab413b2df7c', '964a843d6b1eae95', '3670e4d9d26e7534', 'a56e4503ff76b379', '3ff7045839d86e99', '7a1eb4a3625462dc', 'fda8bac8ddac590f', '6a863f5fa48164d8', '47e999010f49fcff', 'f6decbf02544021d', '29886474dc0f847e', 'ac5b99b6aef3fae5', '4b8f3229ce626e5a']; context = [[194, 221], [12, 42], [51, 83], [13, 41], [15, 44], [4, 38], [101, 131], [47, 76], [167, 199], [20, 47], [4, 35], [5, 32], [113, 142], [20, 51], [34, 61], [35, 66]]; loss = 0.027287 low_pass_filter = 0.300
+Epoch 0: | | 5459/? [53:18<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 5460; scene = ['95ea7a06b764c19a', '3ed6a45f22053af4', '3f7ad3e6596dad77', 'a247c02f80bbb209', '3f0671b3aab75af7', 'b81984c3db6d299c', '17d52a5b96e9c278', '197ff5c7287f0d9b', '702e3924eb797e62', '8a44e9b2b9fa4231', '1dcb240325fa36e7', '67fea88caebb1c14', '51c54c9b7f7598c4', 'b1d60da6d903d72b', '045404bb5789b725', 'd98acfb229c132d4']; context = [[95, 124], [76, 107], [31, 61], [16, 44], [25, 57], [81, 115], [37, 68], [44, 74], [175, 206], [22, 52], [30, 64], [74, 107], [6, 40], [0, 29], [64, 94], [15, 49]]; loss = 0.025933 low_pass_filter = 0.300
+Epoch 0: | | 5469/? [53:24<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 5470; scene = ['9dba53cd4190bffb', 'eae13023de0dc642', '29d6603c1a41ef45', '4dfde045ac3b9772', '8603c643320c6e35', 'f99bacb0639ef12a', '15aad52d11a26f25', '974028c3b9e3e323', '1db629688010819a', '417e0336e9db3eb8', 'f883d68962330b21', '295df0278eb768a5', '96b5fb358789a92d', '9aa9965266925df5', '21486972a7879594', '6048b574a2da8f7e']; context = [[26, 55], [14, 48], [71, 101], [40, 74], [2, 31], [1, 31], [40, 68], [56, 84], [45, 77], [80, 112], [56, 85], [48, 80], [31, 64], [27, 60], [6, 37], [72, 100]]; loss = 0.030983 low_pass_filter = 0.300
+Epoch 0: | | 5479/? [53:29<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 5480; scene = ['68dd157e5cdb64bf', 'df1b7ba1b76c0fd2', '528b96fa2edce81a', '4ed711808ac6f7db', '0dcfcde90eebe469', 'e367fd33b59dbf40', '7d47270114fd4ec6', 'd331f11afbd5b80e', '4d1e941a12495ab4', '74a4454fec1064d2', '42650dbbd8232eab', 'e721fc9b9370bfb9', 'dd8b7bbadd571c65', '6515c73871c16c8f', '6d7fa9b007d81c4b', 'dbd787e2f15fb124']; context = [[75, 102], [64, 95], [44, 75], [24, 54], [3, 34], [76, 110], [75, 107], [30, 58], [179, 209], [73, 106], [35, 65], [34, 63], [47, 76], [96, 128], [129, 158], [9, 38]]; loss = 0.023843 low_pass_filter = 0.300
+Epoch 0: | | 5489/? [53:35<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 5490; scene = ['85d8b40beee1e26c', '06517d6ba13f0022', 'ac507b8e32118dd5', 'e754578fd748a51c', '7022a0fb6e6386cd', '001573921974bc70', 'f7c53a68d68875f4', '174ececf4806c75f', '9b2b777203c485b2', 'e3e576f5e8270112', 'c7ee25903806290a', 'be1357905deb4c72', '865900d9c2b663c9', '6223b736736550fb', 'e12f8fd924b2ff2d', '19f106c5f56ad5e5']; context = [[227, 260], [206, 237], [26, 56], [12, 45], [43, 74], [45, 73], [23, 53], [84, 117], [14, 41], [36, 70], [128, 156], [106, 137], [4, 37], [69, 103], [10, 37], [18, 50]]; loss = 0.026167 low_pass_filter = 0.300
+Epoch 0: | | 5499/? [53:41<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 5500; scene = ['83c9baf5bbc941ee', '7dfeaf87a8145697', '7e58b6857e275547', '06dfdeca94f15bc0', '152a93ab43d95813', '6a9597d09203d7bb', 'a00f87e22e7a7e17', '722eb1a6448ff0ce', '98aa04d140e8b7e0', 'b2f053581c6a54ed', '18da6c73b59a3d9c', '70d6690412f088ce', '9e49a49124564a6f', '7ae0bad2e96fc0df', 'c94d226b402bb584', '0fc55b8c5dd6dd45']; context = [[121, 155], [8, 36], [13, 44], [120, 149], [71, 102], [112, 140], [21, 55], [170, 203], [0, 29], [235, 266], [8, 36], [5, 32], [178, 207], [27, 61], [18, 49], [0, 27]]; loss = 0.024389 low_pass_filter = 0.300
+Epoch 0: | | 5509/? [53:47<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 5510; scene = ['acfb427d90168b64', '1c2d11af0b0eb5a7', '160fb18fd9ea1ea9', '86beccaea6276618', 'af9fb59645cb5450', '3a7d29ec252c1ee6', '635de60e1e23e3d5', 'b6fd5a806aefc32b', '602079c1ebdb60bc', '03cbfe24b3fba7ec', '54bef213b59ea065', '76a2e535fa91b6d0', '370a312c8f5a41d8', '8fc22c613c72a02a', 'ae9aad3603cc5392', '1d6bf47d6ecbd3ff']; context = [[1, 34], [121, 152], [100, 133], [18, 46], [57, 88], [69, 103], [33, 62], [13, 47], [38, 66], [43, 77], [19, 51], [139, 166], [32, 65], [108, 137], [17, 45], [39, 67]]; loss = 0.027853 low_pass_filter = 0.300
+Epoch 0: | | 5519/? [53:52<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 5520; scene = ['c6b59c06634125d4', '81e0e4c9e2f56716', '15ab3d9b3b4aa620', '66c7705eadababf2', '3e1717aff7917fdc', '22575c7e72324c30', '4f9e0f20a0596484', '82a44bdd6723ac3a', '433987c509f5442f', '81595add50319f20', 'cfc02e74d34eab07', 'b49cd83707f4e6d9', 'd8e9616b1e981414', '9b9592b7760d78b8', 'ca14d8460220a7db', '2102b4d661606414']; context = [[12, 44], [0, 34], [159, 188], [31, 58], [101, 135], [17, 50], [19, 52], [82, 111], [18, 45], [2, 34], [22, 55], [69, 99], [16, 48], [39, 72], [26, 54], [35, 64]]; loss = 0.029484 low_pass_filter = 0.300
+Epoch 0: | | 5529/? [53:58<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000, ltrain step 5530; scene = ['5907249a9fd46e01', 'c5d06839404c3d68', '070f5fde5fa6c61c', 'e9473e41345c04eb', '951fd738427071a9', 'dd65f651f4c0fa9b', 'e73e0f80ee7325b1', 'e3e1a3f596f25e4b', '500c86fbe171cbc6', '0eef1f291b126594', '944064bb05da56f1', '06664cf7e79e23e4', '9c6c8ca5534bc61d', '08987ea1371974b0', '0048fce686bb184d', '75f6fe4171accc57']; context = [[74, 106], [90, 121], [27, 59], [31, 63], [48, 75], [8, 40], [40, 71], [50, 84], [34, 66], [30, 64], [211, 242], [38, 67], [19, 48], [12, 46], [47, 75], [75, 102]]; loss = 0.029463 low_pass_filter = 0.300
+Epoch 0: | | 5539/? [54:03<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 5540; scene = ['0fc343543da71493', '4d35f03c8c3819b9', 'd230319d9b2eb982', '56adaa848e8fd3a8', '39f649de6c7d7f4b', '835d8121b6b41e5e', '71a0dfdb3d2bd300', '3f075565092a0ab4', '396ddb86bfd42bbd', '178ca92e6939c0bc', '0e62273ed3ef91ee', 'd503531bb5319abd', 'd83c1aaa89852410', '3fc4d99af68cedb3', 'bad89e3e5f29f28b', 'cee4b55b538a7310']; context = [[142, 174], [8, 39], [34, 61], [44, 77], [15, 44], [1, 31], [44, 77], [4, 36], [20, 47], [50, 77], [88, 118], [42, 72], [4, 31], [29, 59], [7, 35], [170, 203]]; loss = 0.025540 low_pass_filter = 0.300
+Epoch 0: | | 5549/? [54:09<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 5550; scene = ['946f96dfadda281b', '3dd1ee9ce46014e0', '4801c55743478ab4', '0788c973574d562f', '4a2c069d7bfa3eae', 'ab84bd6ad2c3f20e', '0ca0911df7c66c58', 'd8cb90fd13152e6c', 'ce4ae70cd53a7081', '5752839f8b488903', '36e2f4d1de6396fb', '8f169f653e1eb31b', '4c76d28a44171812', 'a1608a5d3f05072a', 'ab00f2d527468613', '59058fb21817aa6b']; context = [[38, 70], [36, 67], [0, 30], [93, 123], [115, 146], [132, 163], [6, 34], [30, 63], [10, 43], [164, 191], [45, 73], [79, 108], [16, 44], [37, 65], [2, 31], [96, 124]]; loss = 0.025409 low_pass_filter = 0.300
+Epoch 0: | | 5559/? [54:15<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 5560; scene = ['86856fd663430e4f', 'a83198758eb70f2c', '28d5cec35a1749f7', '77f4aac23351985f', '5a406f1f5509c870', 'a3ce7bf7b8f862c6', 'dff0175065faf583', '77bd8533dd345d78', 'ecc0bb67de2e4c81', 'e46665ff5912bb7f', '149264dae59d363c', 'd09f5679022ea967', '373afaae621976e5', '0cc61e63c45e5ac5', 'adeeeadf9317eb3d', 'bda52496ae1a7d96']; context = [[3, 33], [34, 64], [187, 215], [90, 122], [57, 84], [38, 67], [64, 92], [1, 34], [106, 138], [20, 50], [14, 48], [2, 31], [7, 41], [10, 37], [88, 118], [11, 38]]; loss = 0.024238 low_pass_filter = 0.300
+Epoch 0: | | 5569/? [54:20<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 5570; scene = ['e527185e42bfef1c', 'dab8595201dc5eef', '9219c0b67e0ea38a', '12a06166db48270d', '3f185e89d01dc9a5', '45a0fe81436e8ad9', '07cee55ad9de11d5', '08972ab132478d17', '464facd721dc4fe8', 'a956cb2982bc95f6', '9782ad24260f5675', '998ea1f3c868e3a1', '77a348ece48ddd36', 'd38b3ae6b1136c47', '52343d3082732c2b', 'fc3417d870df21eb']; context = [[171, 198], [222, 255], [65, 97], [21, 49], [49, 77], [24, 53], [104, 136], [0, 29], [40, 69], [1, 34], [69, 100], [29, 56], [41, 75], [42, 73], [166, 193], [66, 99]]; loss = 0.026670 low_pass_filter = 0.300
+Epoch 0: | | 5579/? [54:26<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 5580; scene = ['49acfb6491c3ed60', 'fcbd35c9fec04992', '27b941a8289558a3', '16333d9914d5937b', '3222c6f65e953650', '6c88b2386f657f8a', 'b4c9c26caef44e89', '1baf2b5812122e3e', 'aa9de0129abc32aa', '18a6c0778918ffbf', 'de3b2ac3db34e97e', 'c932e892fbee3ca5', 'aa6ef5b2399f711f', '6af55bff913df3b2', '01ca9418e0e04a51', '8a5989ad160852fb']; context = [[61, 92], [14, 48], [7, 37], [92, 120], [58, 90], [105, 135], [23, 50], [60, 91], [19, 51], [56, 87], [3, 31], [89, 117], [28, 60], [12, 42], [39, 70], [11, 39]]; loss = 0.029223 low_pass_filter = 0.300
+Epoch 0: | | 5589/? [54:31<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000, ltrain step 5590; scene = ['f6f9e1143d780e3e', '4d93b0a1d23b35e1', '0e4fd48b69609a3b', '1d34b5ace7d314d4', '2b7d488bda993d57', '29f20f745483699e', '0c2c68a63c6abd0f', 'a8c2deda7fac85b8', '18514db20990ca5a', '4bcd11d183d71da9', 'f6b9f0fc1d7b0741', '09772eae485e6dda', '37865ebd13575d72', '4dc48b004403f622', '38d69e165f128786', 'e90a4352570cef0b']; context = [[144, 171], [92, 122], [40, 67], [44, 72], [30, 59], [29, 62], [78, 111], [125, 153], [105, 137], [7, 34], [67, 99], [5, 36], [36, 68], [30, 60], [83, 111], [8, 37]]; loss = 0.024136 low_pass_filter = 0.300
+Epoch 0: | | 5599/? [54:37<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 5600; scene = ['c650dda53967eb05', 'f6ad279359f6eb63', '4f31c3d2031ae29e', '7ee115fb205f848f', '688a6b4560e6d685', 'b276aa50c2dee60a', '4b14491d9a5f164d', '68fff8511202d0f0', '41e5738d1ee47621', 'd53b14150b881c2f', '5c4c281d577d9f95', 'cfe7b0e24f9dc8e3', 'f0ed19231f1ca1b4', 'ba556b71933a8f2a', 'e30dc2f3edeb623d', '606b22ad1a72ec2a']; context = [[23, 54], [16, 44], [52, 85], [66, 100], [74, 104], [36, 66], [12, 39], [177, 206], [110, 144], [20, 51], [86, 114], [1, 35], [94, 121], [52, 82], [72, 100], [18, 47]]; loss = 0.024527 low_pass_filter = 0.300
+Epoch 0: | | 5609/? [54:42<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 5610; scene = ['5a149fbb9799b5f1', 'a50412be59011ef1', '985f2c00b4f494d4', 'af6b1c8a353f5f01', 'd001a09d4047c3d9', 'ec3fcc76dc7935b4', '0ed5f2c07cee742a', 'ff8cf27635ec8f79', '72c76753251034c4', '95604de455068830', '368109519bf4afd3', '8174562e1424c6c9', '59d325df680f395a', '2a11d187ac4d948b', 'aa0ff918b038d91e', '34d0a2873fd57f89']; context = [[21, 51], [6, 34], [24, 53], [109, 141], [179, 210], [62, 92], [138, 169], [40, 69], [34, 66], [28, 61], [18, 47], [33, 64], [43, 72], [98, 128], [145, 172], [7, 39]]; loss = 0.027535 low_pass_filter = 0.300
+Epoch 0: | | 5619/? [54:48<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 5620; scene = ['c836ef7d904d5d24', 'fd797c334015e71b', '6cb4ac9555d8dfb2', '82c1c8656f684b1f', '1a2dab689da1e13a', '65ec962651b85a4a', '7de728b1808bf321', 'af3a65a2494dd781', 'fae8dd2a73485eb3', 'f6b1933874d4af93', '5c04e1bb3d57c7e2', '986f645284094c16', 'd33a702220f9c643', 'a4540429f3ab7b34', 'b44a9831f5c9346a', '70c3f63e49f0a60e']; context = [[107, 138], [195, 228], [2, 35], [14, 48], [50, 80], [14, 44], [0, 30], [160, 191], [30, 64], [2, 35], [48, 75], [14, 46], [7, 39], [4, 36], [143, 175], [30, 57]]; loss = 0.030486 low_pass_filter = 0.300
+Epoch 0: | | 5629/? [54:54<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 5630; scene = ['d0edfa488493a780', '735286cf35dba264', '9d33be739ced144d', '9ca69f6a964f02a4', '4a2675dd01f283a4', '8cb8c73ef19fd33d', '171abcd04aba0f4a', '618e9c0c539e9889', '924dc58634bfef3b', '65e8056ea2cee790', 'a859d007d39a68f3', 'b835141cb69d7442', '26423478e599c534', 'af12b1fbffb8df8c', '8ff9e75e25018b62', 'e910f82449c902f9']; context = [[172, 203], [16, 50], [175, 203], [9, 37], [1, 28], [8, 36], [26, 59], [12, 42], [58, 85], [51, 82], [15, 49], [129, 162], [76, 106], [36, 66], [152, 186], [8, 35]]; loss = 0.030009 low_pass_filter = 0.300
+Epoch 0: | | 5639/? [54:59<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 5640; scene = ['4289af9553e84aa7', 'c2b65a57bc508390', '8a369f40b9ba7348', 'db1a78ee1b1e4377', '5707c016b8cefa74', 'c9ba105b875e59e2', '5f744b47465fa9dc', '27560bb41fe5942f', 'a436278141ae47a3', 'bb95140d7fa93bb7', '9e845463bcff1d2b', 'ca89e36b41581eb8', '10fe0d451220407a', '2e4d16122bd76f43', '5f0f26d2f069837f', '26e1218850abd298']; context = [[217, 249], [82, 110], [36, 70], [91, 123], [19, 50], [42, 76], [51, 83], [7, 41], [73, 101], [39, 71], [8, 40], [101, 128], [149, 178], [72, 105], [16, 50], [66, 96]]; loss = 0.023992 low_pass_filter = 0.300
+Epoch 0: | | 5649/? [55:05<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 5650; scene = ['b446b7840e4ac28f', '0a15372f3b9eab0b', 'aa2197dadd5f5f8d', '4fd139b53037d3ea', '5d56c55814546bd8', '4fec9d404cf136d2', '13315e22e6006d81', '1c34e3c57f481afb', '725e9b2881c14339', 'd537424645c19bac', '974067e61aa0d408', '6303e9b30a93ffd3', '2d46721788b06ab2', '560e435b0b0dbb7d', '0b201ea37af17d70', '305c444f0ac84615']; context = [[11, 41], [155, 184], [24, 58], [77, 110], [103, 133], [105, 134], [72, 100], [8, 37], [6, 37], [105, 137], [105, 134], [114, 148], [196, 224], [10, 40], [9, 42], [33, 61]]; loss = 0.024575 low_pass_filter = 0.300
+Epoch 0: | | 5659/? [55:10<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 5660; scene = ['b4aaa00674c63884', '77994f2a243e4c9f', 'dbb08ee9016eb60c', 'cd3b47d22b0bb827', '6013f0d8dc76e441', '1e2e2ad74df3a146', '402b81bf14d1de68', 'cb1c0ed8721fbcc9', '11562882fdab0420', 'ec59c25cd74e739a', '16b0ce1fde16bd5c', 'd5c1a6c6cb883de1', '0cb1f4423c89e950', '9a97ec19a3bf5147', '5e15850ae9ba93d7', '5bd2b8a6ac345fa1']; context = [[107, 135], [65, 93], [240, 269], [61, 92], [17, 48], [9, 39], [15, 43], [29, 62], [11, 40], [39, 72], [15, 48], [1, 29], [179, 209], [187, 218], [40, 70], [49, 82]]; loss = 0.024244 low_pass_filter = 0.300
+Epoch 0: | | 5669/? [55:16<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 5670; scene = ['db470af007bc7d55', '207cc01069e6e480', '3765a1ac3cf22a76', 'a89e2f1bc57991f3', '18b72612d78e5800', '6a3f9d9e01c9bda5', 'e32290ab3ad7c715', 'ab85bf8652d24e47', '11a1b9420a2069bf', '4d0ffa23690b31f5', '74ccd7f499ff29c1', '58d9100716253f0f', '1a00d4e8aa97867b', '95f77454a0125854', '48c4a4758b86d309', '09e14846fbca0bde']; context = [[58, 89], [104, 136], [57, 85], [8, 38], [0, 29], [71, 104], [131, 161], [219, 253], [48, 81], [13, 41], [11, 43], [41, 75], [169, 198], [135, 163], [12, 42], [7, 35]]; loss = 0.024976 low_pass_filter = 0.300
+Epoch 0: | | 5679/? [55:22<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 5680; scene = ['fb1f8c90a89e8d43', '099ebecf954ec2ac', 'a04642a7533b8a10', 'ca7a3c1692a695f4', '932715a7bffbf16b', 'b5b59e94bd3efd58', '0d7af179ef2e18a5', '4aad3411661af5ec', '838d610035a86531', 'ca9924ac3f58fab4', '9466d3e7e9958ac5', 'f3ff4b1d53f490c9', '58fbf7415b5f94d2', '5c021289891283db', 'c72bebd575f2bba0', 'd27285f7d9be1c5d']; context = [[28, 58], [13, 41], [5, 34], [25, 54], [3, 33], [9, 42], [62, 95], [32, 66], [42, 72], [56, 88], [27, 58], [53, 85], [0, 28], [67, 99], [11, 43], [2, 36]]; loss = 0.030150 low_pass_filter = 0.300
+Epoch 0: | | 5689/? [55:27<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000, ltrain step 5690; scene = ['efae468fa7691c75', '8887dc8e1d0fa377', '7ad1fce2b0339169', '8d2343fa49c60b9c', '724030429e0292e3', '6a45430a21453285', '5e65bb1cc5c4affa', '5604225ddca0c7d5', 'b25bb04a13a2429d', '373061ac4e1561fa', '0f1cd7d1fa0adfa9', '6d034c3b0328d696', '28a2f4302568c2a3', '15703310d72f7df8', '65ec7febd49f75c0', 'f47ef2cb367b7918']; context = [[71, 102], [144, 173], [33, 67], [6, 35], [57, 88], [3, 34], [127, 159], [83, 111], [17, 47], [74, 108], [25, 58], [40, 74], [158, 192], [158, 187], [126, 157], [69, 101]]; loss = 0.031318 low_pass_filter = 0.300
+Epoch 0: | | 5699/? [55:33<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 5700; scene = ['67584a6f8ae58450', '0e45eb1d006c222e', '97f13942e301b11a', '3ad4ea23277b8a65', 'a87bd967231bd348', '948996282e3db5f6', '709108b3b7921a59', '2bfc72fe23f7d128', 'f241dc13122c01e7', '37fd2f3f34ae6a61', '661012e841d77a60', '526e15b861dbde42', '1e909e45b5870bf8', 'ef05aaf749b3d6bb', 'c0e9c36791ac6ea5', '31c7ad771325622a']; context = [[60, 94], [31, 65], [28, 62], [164, 196], [18, 50], [77, 106], [122, 156], [3, 33], [1, 30], [37, 67], [28, 58], [52, 83], [173, 204], [30, 61], [56, 88], [34, 64]]; loss = 0.030618 low_pass_filter = 0.300
+Epoch 0: | | 5709/? [55:38<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 5710; scene = ['f1b97299ba4e09a4', '8d22a27b38f39ac5', 'b6260001d0b9035f', '0eab3863193dd421', '829871f6aac182dc', 'fb4839afef94acad', '1757f8643bdf6f4c', '869e0400a977198a', 'b2d0cf16649a11ff', 'f8b0d1e280daed5d', 'd4aac0088971ad5d', '67353f28c5452f17', 'f13dcb3a9ac8a857', 'a39b07c625f4fbaf', 'adaa895408584f36', '4d2b58c1c68d7a70']; context = [[16, 46], [7, 40], [215, 249], [8, 37], [4, 32], [1, 34], [3, 35], [0, 28], [237, 268], [33, 67], [3, 31], [20, 54], [42, 76], [68, 99], [176, 204], [1, 29]]; loss = 0.025762 low_pass_filter = 0.300
+Epoch 0: | | 5719/? [55:44<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 5720; scene = ['6b98e19060e46fb9', 'a32aa8e09cb77fdd', '4eb8e624b1601660', '432f3248df5f40c5', '8dbd94846f7400e8', '1fe2d66eef5f1e35', 'e1b31ddd45f4eb68', 'b4873bca252ef9a1', '4d809b298356061d', '011fbca4c333495f', 'b0b54e44bbbb3aaa', '5bf1d42524c02fb8', '1182579e7ca4ef88', '2598b88b7b7d2119', '5aad4a21ce37e53e', 'b41d3898f57085e3']; context = [[75, 109], [49, 83], [27, 60], [7, 41], [47, 78], [33, 66], [22, 55], [82, 112], [125, 157], [41, 71], [54, 86], [55, 84], [58, 87], [70, 104], [2, 36], [118, 148]]; loss = 0.027208 low_pass_filter = 0.300
+Epoch 0: | | 5729/? [55:50<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000, ltrain step 5730; scene = ['7ba0bb51ce172710', '37b468e1f381e86f', '17e52586d0101584', 'f07d116fbea2796e', '9031e8656bfd9860', 'c1edfd2888b2f733', '8bf7fd2a9cdd4b00', 'd58806419fb58a59', '4986da6c3f01c2bb', '25c60ef8ca347ede', '892585c2be9f3f74', '33733a6eb9850264', 'e3ab34faf834f40f', 'b6f9cfe435a0fde7', '186d895121cb8f0f', '6fb3aa6a022b85e4']; context = [[143, 171], [168, 199], [85, 119], [105, 136], [24, 52], [50, 81], [147, 177], [22, 54], [46, 78], [54, 86], [79, 109], [232, 263], [15, 49], [14, 43], [40, 69], [86, 114]]; loss = 0.026396 low_pass_filter = 0.300
+Epoch 0: | | 5739/? [55:55<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 5740; scene = ['6227561540c03f35', '1749cf5f9c36da53', '2141dda9e65a2e20', 'ff61465fa209f64d', '415b63f1b3c3a41b', 'ed65ed67446bef4a', '3536c0c4998096a9', '5c5747d19ca6fc7b', '78315d35466bfa53', '82fe2f5d5cf50477', 'ded696beba889e75', 'e9b590c6993bcf66', 'a0e4826e71332c71', '24b36b96c868b758', '8dbd26a529a8e1fe', '93739f7c17797663']; context = [[14, 46], [43, 74], [1, 29], [2, 34], [209, 240], [8, 37], [30, 60], [47, 77], [28, 61], [29, 61], [81, 114], [52, 81], [9, 41], [61, 92], [119, 149], [19, 52]]; loss = 0.023718 low_pass_filter = 0.300
+Epoch 0: | | 5749/? [56:01<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 5750; scene = ['f1e4898999cd9c1b', '75f1e3480cb011a2', 'a95be6b28b7e04c1', 'a2132eb3ce0e461e', '64ee1c88aece94b9', 'c60772b5e4c787e0', '0f9f0dbe244926f1', 'fa45ba8993573358', '79ddb9fcd6523d4e', 'dce622aca76f31fe', '8e9403c26cf2c248', '24405bbc599acf26', 'bf6ebb3bde3ab2e7', '3e0141cf661e700b', '35744d288cdbb90e', '49fc667ff679205c']; context = [[26, 54], [36, 66], [10, 39], [112, 140], [110, 140], [162, 192], [63, 96], [61, 93], [14, 43], [27, 57], [183, 211], [7, 38], [14, 42], [22, 51], [3, 35], [23, 54]]; loss = 0.025193 low_pass_filter = 0.300
+Epoch 0: | | 5759/? [56:07<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 5760; scene = ['3111e5ad7ec9f39d', 'eb1aae21845c22aa', '6137edc44b258c7a', 'd5e84d05cfd4db30', 'c6f7b19be98213b6', 'c1b47e97d4900463', 'b8bb5814af24dd69', 'c58536994138fae3', 'd6160bc8f7c485de', 'ae44237850cc858d', 'df984569c30f742d', '220fa19b554d31e9', 'be7f0f356048ff14', '15cf3ed7934403d8', 'a808409bf8cc67dd', '635a6bf8d8bdfb56']; context = [[36, 68], [74, 102], [30, 59], [53, 84], [32, 61], [98, 128], [14, 45], [29, 63], [1, 34], [94, 125], [26, 56], [13, 47], [0, 28], [47, 78], [41, 71], [146, 174]]; loss = 0.026786 low_pass_filter = 0.300
+Epoch 0: | | 5769/? [56:12<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 5770; scene = ['7933d6d96dd31a6c', '65ce0ad5ee94d430', '0763cb68386479e1', '9a4fc912c80e4ba9', 'f9d7f70bb0034f0d', '38f4c8a341068c06', '1df4638fdba064e7', '26cee54c91acd9da', 'bf19b0b66f74e2b7', '9bc403aa9e7c0705', 'ad43051ff3e03760', '0b857200106481c0', '09fd60d2c5ae3eb8', '5b1f5aa8eacde6fe', 'cee014117a48eb94', 'e04ee32fa034b810']; context = [[17, 50], [84, 115], [25, 57], [4, 35], [125, 154], [78, 112], [10, 42], [51, 83], [32, 64], [105, 135], [54, 87], [9, 40], [0, 30], [10, 38], [21, 54], [7, 37]]; loss = 0.024461 low_pass_filter = 0.300
+Epoch 0: | | 5779/? [56:18<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 5780; scene = ['8e01aed29e61a9bf', '713cdf4dcda03d65', '08e4f6a5098b0d3a', '09c62d8362825d34', 'f8795dad7ddecd47', 'a21a873df22a9b33', '3127753a1ad207b2', 'f28bac496ee97345', '0bc0b77faeecd0cf', '5176c714d2e72855', '59e7800dec3fa9f5', '152d6d3ac836afd3', '3ad7fc9a83e3e883', 'cb6b282e7c44622d', 'ed1cd4f9d797bde3', '7ee2c0f45d7cb0ac']; context = [[4, 35], [52, 84], [64, 95], [60, 94], [28, 59], [5, 37], [23, 55], [5, 33], [152, 181], [25, 53], [0, 29], [53, 82], [0, 33], [2, 30], [233, 266], [44, 75]]; loss = 0.029555 low_pass_filter = 0.300
+Epoch 0: | | 5789/? [56:23<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000, ltrain step 5790; scene = ['3af30156efa35d09', '7b95b1f65f0d8687', '8a0a93588ccdfbd3', 'fb7276f92ad63407', 'fdac21a86c2a1ef3', '0300f87d2ff368b2', '79590833b9df5558', '5064ce9e88bb3f39', 'd3711836cd0fac50', '0a0271d981ead75b', 'd9d8890660debcb6', '8e9d9dc15b1707b0', '4f3e8718190c20dc', 'f5ecf8999498edeb', '7c40bffc17c61edb', 'd48f435e37cfc3a4']; context = [[2, 34], [229, 262], [173, 204], [61, 94], [56, 89], [5, 38], [27, 61], [56, 86], [51, 85], [242, 272], [9, 42], [13, 41], [76, 110], [41, 72], [9, 42], [28, 59]]; loss = 0.027341 low_pass_filter = 0.300
+Epoch 0: | | 5799/? [56:29<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 5800; scene = ['d7b31e0260c93be9', 'bfd3324d4b863c83', '48c416537e08a32b', '114a696ab1c123b2', '30dfb144a4cecdc3', '1f2eb3cfe6ba522a', '15bcb6f064c57764', '9e40ce9b0971dcd6', 'b5a1b9f9b27275bc', '55d92465848511e1', '95dab5fbf02f892a', '9a70317122187ca4', 'f54af9b96f2fcb52', 'ab47a8cacd5a8c5b', '5b0b61c88d637d44', '4c495f62172cfc2d']; context = [[22, 55], [73, 102], [91, 123], [1, 30], [178, 206], [45, 77], [152, 185], [1, 30], [1, 33], [78, 109], [21, 49], [25, 55], [63, 91], [41, 70], [66, 94], [151, 181]]; loss = 0.028907 low_pass_filter = 0.300
+Epoch 0: | | 5809/? [56:35<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000, ltrain step 5810; scene = ['571d919cdb03eb35', '4045169a7724a0b4', '1f403b114e875f78', 'dd988cf0cf941203', '5b926b622e31d3c3', 'c152f6b5f3e6e77e', '275a0f1b25b1e9d2', '33ff87aa39e41fed', '024cdec3379d72e4', '8d710ed2459af832', '20d65cdc3bd801ab', '3a568c79673737e6', 'e82ae746fe86d59a', '314d09d3997725a7', 'f10c940ab4a81f12', '43205c12fd83c588']; context = [[156, 187], [83, 117], [211, 239], [51, 79], [32, 64], [126, 158], [80, 108], [64, 99], [77, 111], [24, 59], [2, 37], [66, 96], [19, 48], [121, 152], [24, 57], [49, 77]]; loss = 0.026225 low_pass_filter = 0.300
+Epoch 0: | | 5819/? [56:41<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 5820; scene = ['171c2d3ae7b5b880', '3eecbfde33a5d536', '8b2d2819f5481bfe', 'ddb24003ba549794', '0c1a54f8512a22a9', 'c0c7d0c3dea84825', 'cdcfaffb36bd68cd', '4bdb75340d42d415', 'd839e2f22436f6de', '5ea4cb2ff1498203', '43cf6f225ba670fd', '78c5c861417f0d20', '6601dce6f338cc1f', 'ac2d9614f41b610d', '48c354a9712d07b1', '9a8e27f0f2728277']; context = [[48, 76], [61, 89], [38, 73], [54, 86], [27, 62], [21, 53], [74, 108], [51, 85], [14, 42], [57, 85], [4, 32], [29, 58], [3, 36], [40, 72], [0, 33], [14, 43]]; loss = 0.024109 low_pass_filter = 0.300
+Epoch 0: | | 5829/? [56:46<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000, ltrain step 5830; scene = ['0c58f684b5a589e2', '81ca6bc8c809f255', '204e1d9acc813002', 'cd54ee699c89cf1a', 'eb9827fd78c71334', 'c2623048da0b7295', 'e2a26c414b0a6c2f', '2dc50f13e83c2884', '70d1c55ddcd4a753', '674ef826ca7eeb09', '28ca1b6ece7702b8', '1990b72a5708f65d', '8a57ec2b5a935cea', '6c57365cc119cce7', 'cba2dcb651b3f309', 'd199375842a653ec']; context = [[139, 169], [49, 81], [53, 81], [1, 33], [2, 31], [0, 35], [10, 40], [19, 52], [4, 35], [43, 77], [2, 37], [37, 65], [181, 216], [132, 164], [49, 84], [87, 120]]; loss = 0.027175 low_pass_filter = 0.300
+Epoch 0: | | 5839/? [56:52<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 5840; scene = ['a4b936041ff1684b', 'a85ffdb212af77e4', 'a2e10d0073ed12aa', '9c9ced8fb87ee489', '06a4bfd396009736', '7e5df2af98541d75', '80564bcae125c314', '9e86f1d5a26eb9d4', '83f4beb59ba6a404', 'b40c0f6cb6d5b10d', 'f9cc743f6e98f656', '6c1d03e923825f5d', '8be97eae2bb7c774', '4a461aae5bd6c571', 'b72cf20680d027ce', '3b7748e944b78734']; context = [[28, 62], [18, 51], [16, 48], [166, 194], [35, 63], [10, 43], [63, 98], [65, 97], [60, 91], [39, 67], [44, 78], [0, 33], [18, 53], [10, 42], [7, 41], [40, 68]]; loss = 0.028270 low_pass_filter = 0.300
+Epoch 0: | | 5849/? [56:57<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 5850; scene = ['159aad0364867ef5', '30aacaef7042cefd', '71cc194ab57517b8', 'bd5ba9f0f035e654', '915b529e489a157e', 'b8be0bf2cde5c194', 'ebe9dffdbc25573c', '2040195000efda34', '6047d6adad773c2d', '21d509dc6835618c', '37e5965f967c583d', 'e994872e832abcd6', 'ef6401c117a2701a', '395b6ac27ddcc9d1', '9137204ba76b5bfd', '3fd3e20cbc6e5f69']; context = [[21, 54], [13, 48], [19, 47], [96, 128], [3, 36], [2, 36], [20, 48], [130, 162], [231, 265], [25, 53], [12, 40], [23, 53], [149, 181], [57, 92], [56, 89], [17, 48]]; loss = 0.024817 low_pass_filter = 0.300
+Epoch 0: | | 5859/? [57:03<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 5860; scene = ['d2fd8446b4448fa4', '22e4f9f3e6fb1cb4', '8106b193a97fb004', 'a942015dc7100bd5', '06d8efe9dee32c01', '5238186c1162cb6d', 'd528f476238b81aa', 'ca15050b917d9441', '22f6ad0cc2207645', 'cd69e03f89dac542', '2ab1b3e6c6b9f918', '988f1c6895c02363', '0e7ed8715b61dad6', 'feffdda9d1d883c9', 'b34e241b08ecb7d0', '450bc5150cd964e1']; context = [[44, 75], [139, 169], [5, 34], [12, 41], [11, 40], [9, 37], [185, 220], [85, 114], [5, 33], [29, 59], [10, 38], [33, 61], [209, 240], [38, 66], [27, 61], [15, 49]]; loss = 0.025563 low_pass_filter = 0.300
+Epoch 0: | | 5869/? [57:08<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 5870; scene = ['f0750996750eba3b', '4b63a61085154ed4', 'e6382809f20bc883', 'e468d1e2542218d9', '594a9f9c8b76d996', '68348e0f06cb5805', '4b4df0a0720dce99', '2962373860639fa0', '1a34d38778fc33e6', '15ba31ce348a295f', '2f9e585b65804e4f', 'f0a57ad32f7a615a', '6392f81fbdf07025', '8a1425c529010a20', 'f484f9a01bdfac91', 'ee7916d69154f3ed']; context = [[101, 132], [46, 81], [62, 94], [109, 141], [89, 124], [2, 32], [28, 57], [78, 112], [232, 265], [43, 78], [87, 122], [25, 53], [76, 108], [184, 218], [5, 33], [47, 81]]; loss = 0.026845 low_pass_filter = 0.300
+Epoch 0: | | 5879/? [57:14<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000, ltrain step 5880; scene = ['9e2a461552595de2', '1aa700afb85ed61a', '564c91ec1a27b1b0', '0eb89527bbff40fd', '110a61dc41dc6ff5', '1cb8398179c221af', '62bd0e8d94a12e6f', '5bf2fd14f29ae8b8', 'cce8d4029c89f537', 'd353a9851abaa4ca', 'cdf7ab179d4bb5fe', '39b855ec6ba79abb', 'd8fb0ecea04b7905', '63cb564bb8ef60c4', '08c8768fb707981e', '60d42bcbe69497c2']; context = [[29, 63], [125, 155], [44, 79], [68, 98], [7, 42], [74, 105], [65, 100], [215, 248], [99, 127], [56, 89], [33, 64], [18, 52], [179, 211], [91, 124], [27, 56], [7, 37]]; loss = 0.026201 low_pass_filter = 0.300
+Epoch 0: | | 5889/? [57:20<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 5890; scene = ['255998558abc7172', '2bf2d66d87db5178', '9adb745c741c85e0', '20e8b08c2473d308', '016898755e5371e7', '4fdab020b0b1455f', '28fbb291c0ee869b', '357c34539592a013', '15cd69baed84dc6e', '179a0239d96572f3', 'afeb8f85a9358df7', '2dd44952327b3a21', '70ad344d01754f5e', '2e72f7c088e297ae', 'd5561c0305ee866d', '241bd5474acd5f90']; context = [[9, 38], [8, 38], [9, 38], [82, 116], [52, 81], [4, 35], [14, 42], [125, 154], [74, 106], [25, 56], [87, 119], [14, 49], [95, 127], [56, 87], [195, 226], [19, 53]]; loss = 0.027962 low_pass_filter = 0.300
+Epoch 0: | | 5899/? [57:25<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000, ltrain step 5900; scene = ['992ebd0c7e77e8d5', '04804680fa96e27d', 'b8cd548a430e6504', '62baeb7d9b1da732', 'abe8844a3789beff', '3bffd83fc5ceb8c0', 'dd341da195f7b96c', 'a80d5eb9b010f944', '6a1702f5bb5aa428', 'a9931d1fe71c47cf', '133e6aba1f4981de', 'd386b37368dc5e62', '8b6812cc97c593a2', 'f6a26ccc446efd6a', '882f329f32924c9d', '468e229934b61565']; context = [[76, 108], [218, 253], [48, 83], [83, 114], [56, 90], [31, 61], [5, 35], [44, 77], [43, 77], [8, 39], [160, 190], [33, 64], [4, 33], [37, 72], [58, 92], [84, 112]]; loss = 0.027197 low_pass_filter = 0.300
+Epoch 0: | | 5909/? [57:31<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 5910; scene = ['1ba032383d3bb085', 'ea9527d030b6ef05', 'c3311420730e6cac', 'b51292c38f8bc5ad', '7f43bd219054cb61', '28666f5e7079f976', 'a4907d1efaa3785e', '31bcb53f4ca71194', 'a585bcd32ea73dfa', '353b211a3822316f', '8e5d0fd1f5a66f83', '633cbde95abf1b3a', '334dafa3bf6fe7d7', 'b74cd5e7dbf6f5a5', '15f55eeb49f9a158', '19da9f1eb7fd7deb']; context = [[88, 123], [145, 177], [120, 155], [35, 67], [102, 133], [105, 134], [101, 133], [20, 51], [169, 200], [17, 45], [6, 39], [72, 104], [7, 35], [48, 78], [38, 66], [17, 50]]; loss = 0.022651 low_pass_filter = 0.300
+Epoch 0: | | 5919/? [57:36<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000, ltrain step 5920; scene = ['ed1510746de8198f', '53eeb9b2a3c85438', '06d7ebf1d8c31823', '882a4bb1c3ff5449', 'bdebb67214315ba5', '45ce6645effd86a4', '86df32d875423029', '6b92ef0308e73624', 'a1a797c1ebbb9795', '67109d04207dc5e0', 'f2f2c987d08c2d72', 'ec400deea098acf1', 'ae79da1c769f8173', 'f9bb4bec1e976878', '00469966d50c2b97', 'dd665e67067d7bae']; context = [[233, 263], [53, 85], [5, 38], [54, 87], [179, 208], [103, 134], [20, 55], [56, 86], [13, 42], [0, 34], [80, 112], [38, 73], [85, 119], [32, 64], [7, 37], [38, 66]]; loss = 0.036406 low_pass_filter = 0.300
+Epoch 0: | | 5929/? [57:42<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000, ltrain step 5930; scene = ['e6ff9a7042671971', '2a6a97f480e33a22', '9cbbbe528c9bc4cc', 'b1c3c94c00ea058a', '0fe7bb34bc1ce614', '0ab41923a82fbefc', '0672e7f9286387ce', 'e667c12e5d57eadf', '8ff4d18f3c87a4cd', '78e2ec35addd48ee', 'b6c073fe5209ad3d', '1b98355278b3ca52', 'aacccbcbc0722240', '1c697e1b376ee31e', 'c62b839c1b99274d', '1213665a8be72518']; context = [[44, 78], [55, 87], [16, 47], [23, 55], [42, 76], [133, 163], [51, 81], [17, 47], [36, 64], [16, 44], [1, 35], [31, 62], [69, 102], [43, 71], [31, 64], [26, 59]]; loss = 0.023570 low_pass_filter = 0.300
+Epoch 0: | | 5939/? [57:48<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 5940; scene = ['d50b81adaf488575', '5bb61fbc2b5f9874', '0800ddaabe7ceda1', 'bfba118281ee21ad', 'f31c5a6b9ad29f74', 'f85c2b6f5a310fdc', '9739a6fad4b28ac6', 'd05fc17864e05a2c', 'd89902a23855e483', 'cfd0874da7e13ec4', '60f02dbad72bb13a', 'cfc32ddc6f4ebfa1', '77ff8c06da2d057a', '98fcb849d678ed09', '237b2e037727f576', '7c09f098aa542eee']; context = [[17, 46], [1, 32], [41, 74], [208, 237], [22, 51], [104, 137], [9, 42], [10, 44], [108, 139], [21, 53], [26, 58], [71, 100], [7, 41], [21, 52], [12, 42], [15, 50]]; loss = 0.023749 low_pass_filter = 0.300
+Epoch 0: | | 5949/? [57:53<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000, ltrain step 5950; scene = ['2ec64b69d4de1d90', 'a11710f5d1559c09', '9ae102209c569657', '53b2d5f02d25fb18', 'b681b468da4fbb88', '2ebcdec1c308edbd', '65443da844dd7f20', '5127aacb328dda4d', 'acd6a14a1f559c9d', 'a0f430e293069c8c', 'aa4106b1c86a4e34', 'a0ae68e3642ee355', 'dc60a35502b49cd3', '27a15919c943e2f6', '6e4c157dc9b1135e', '060353a612f30592']; context = [[28, 56], [49, 84], [58, 89], [60, 92], [19, 54], [3, 37], [39, 74], [178, 213], [127, 160], [50, 78], [198, 226], [22, 52], [109, 142], [16, 46], [19, 48], [39, 73]]; loss = 0.025908 low_pass_filter = 0.300
+Epoch 0: | | 5959/? [57:59<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 5960; scene = ['d41a1962fa962d97', '9733c922457884bd', '489033bdcaa98fdf', 'a2c1e912a4cb686c', 'f9efbd129bac6209', 'bd77b6ee00143f9d', 'd15bd6b9d047eabc', '854536a1d912b596', '72de1e94d9864184', 'e0810bce9eb04d63', '030091ba69ae37bd', 'd4d289ffce6897f3', 'cd59d229b00da47c', 'c4cc6f399ac21181', 'de9f63c728227b86', '09b9ac7cb6232d81']; context = [[37, 67], [44, 74], [67, 99], [127, 157], [5, 39], [19, 47], [1, 35], [48, 82], [45, 75], [103, 134], [49, 77], [29, 64], [8, 36], [53, 86], [87, 118], [77, 105]]; loss = 0.029519 low_pass_filter = 0.300
+Epoch 0: | | 5969/? [58:04<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000, ltrain step 5970; scene = ['e8706defb03bba5b', 'c178eae2652d9d6a', 'e3baf1d4f5ef2f7e', 'dd1ba37119dbd4bf', '249212a791d29e33', '8f3053050600ce8a', '26f9613bbfe4583d', '18c4564eab8b960c', 'eda8ecb45255919a', '3dcc546913f0f5a6', '1aef95cbf32c6afc', '95452f9250f1d10b', 'be2aab55666bd321', '2a93af38bd81ae80', '725c476c16afec50', 'baec0609ebfeb7ca']; context = [[76, 105], [97, 128], [53, 84], [21, 51], [5, 35], [26, 60], [207, 236], [145, 177], [58, 93], [6, 37], [57, 90], [6, 35], [174, 209], [7, 42], [119, 150], [3, 33]]; loss = 0.026141 low_pass_filter = 0.300
+Epoch 0: | | 5979/? [58:10<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 5980; scene = ['99fbde3ad90233bc', '37be8109577b927d', '4af7dec0791abc1b', '111636109cf386ea', '8796d47632100ac7', '5497c1303ea0e756', 'cf448a6667449deb', 'd7ca12daf958dfb0', '59a2c3a5b8a6bffb', 'f716f2c75818e81b', '93db4526d3da8de5', '1d76416a352af266', '6a99c85d2d2dcadb', 'ce49d261f160bec5', '28c7a26b633278b6', 'acc6c20b665c730b']; context = [[49, 84], [54, 85], [42, 77], [83, 118], [24, 54], [42, 71], [8, 39], [40, 72], [56, 91], [48, 83], [120, 148], [0, 35], [170, 198], [35, 68], [22, 55], [29, 58]]; loss = 0.027365 low_pass_filter = 0.300
+Epoch 0: | | 5989/? [58:15<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000, ltrain step 5990; scene = ['3035206f3e39145f', '5a3cdd499c219bf1', '07327085a69696c3', '7599842c18f9e0e8', 'aeea05a91f0fa062', '7db24579515c9c03', '3de63e0d27173373', 'a0b88ff1fc110540', 'aadbd867f9b14e0e', '7ff92e29cbc1a0dd', '089622d662597220', '30de684928c0292a', '6c84f14a6cac1574', '174b9b8d56204204', '9c09eaf37515bfb0', '75ae63a846122094']; context = [[156, 189], [82, 116], [67, 96], [112, 140], [10, 45], [4, 36], [65, 94], [10, 41], [13, 48], [145, 178], [23, 52], [27, 62], [5, 40], [8, 41], [118, 149], [37, 67]]; loss = 0.027115 low_pass_filter = 0.300
+Epoch 0: | | 5999/? [58:21<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000, ltrain step 6000; scene = ['c7aa7a7671b8b200', '5c56b0f05a358572', '574417986f69166c', '40d581ea805e4a38', 'c25c954d46c315f2', 'ca65a604c0f00319', '6bb5aa41ad44b00e', '7f4353922e24e719', 'a160e085a31100e7', '7515288e20354f55', 'd1a233764dfafcf4', '414b7d55b5fde684', '77542628c9955b43', '11a0410061415599', 'e39974ca56f48929', '651dec57270e7a1f']; context = [[54, 85], [15, 44], [118, 153], [168, 198], [35, 70], [2, 37], [188, 219], [75, 107], [79, 110], [24, 52], [1, 36], [32, 62], [59, 90], [116, 145], [130, 158], [94, 125]]; loss = 0.023457 low_pass_filter = 0.300
+Epoch 0: | | 6000/? [58:22<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, lvalidation step 6000; scene = ['45592a7f307bccd0']; context = [[8, 42]]
+Epoch 0: | | 6009/? [58:28<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000, ltrain step 6010; scene = ['e952686fc1738a61', 'fea1c01a1b763526', '339a2912e861d13e', '3154710017640b49', 'f0ae1c0ba950cd70', '42832be11a0bf2b5', 'b6e320aeec7c0ba2', 'ef1fa8ad46c8a424', '5947dd1e10a23b7c', '7239b2a7554c75fe', '14f5326ed459f92f', '8c7d25a2c34e0402', '904ec56432f4a066', 'fe182ab98e3df748', '9aa246217e9c04ea', '16b46bf7b3709c2f']; context = [[34, 65], [10, 45], [57, 92], [4, 35], [19, 47], [88, 117], [7, 35], [72, 103], [64, 98], [127, 160], [9, 44], [102, 135], [1, 31], [46, 78], [23, 53], [147, 177]]; loss = 0.026838 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 6019/? [58:34<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 6020; scene = ['fc837334a2b7112b', '45edb87bd30a2a11', 'b2eecf538192c27d', 'e3b6a591a97ac37d', 'b4496552d5427337', '826e85106094955f', 'b6f214126cffe83e', '9bd4ae10f2fbba74', '758a63fb57e54b3e', 'e5d4f034d91b1548', '4585570329cb773d', 'a1c7351f7b192aae', '55c0bea8615390cc', 'b1c898335e14b033', 'bc97ef60386f31c1', '4bcc311e9b1e6330']; context = [[41, 70], [1, 35], [5, 39], [86, 121], [0, 28], [98, 129], [11, 40], [92, 124], [18, 46], [9, 38], [124, 152], [63, 95], [39, 68], [28, 60], [58, 89], [45, 74]]; loss = 0.025393 low_pass_filter = 0.300
+Epoch 0: | | 6029/? [58:40<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 6030; scene = ['59a40926c651be2c', '8d6f43976c9e5f94', '1fb562b09fc361ea', '2837f34b63e649e1', '41e20f4874e70840', '24d33601b8e09152', 'ab1a429034ca6dcd', '1b9e0a1958f29f37', '4d836c051f02de01', 'd842261ebd54ac6e', 'b15bd877d2642313', '2c829a056844b920', '82951bcec467e8b9', '24b61a5f82f26bdf', 'da730944311546b9', '8828f1cc452795aa']; context = [[5, 38], [245, 274], [1, 32], [55, 90], [2, 36], [37, 69], [0, 35], [1, 34], [38, 66], [53, 88], [106, 136], [24, 57], [32, 61], [0, 34], [12, 40], [59, 90]]; loss = 0.023376 low_pass_filter = 0.300
+Epoch 0: | | 6039/? [58:45<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000, ltrain step 6040; scene = ['50b8bf3b72f8f9f9', '25767990c1e5df39', '5cb6a4466d5f4f53', 'cf99afd282027055', 'd7f3b4e12f3f3af6', '0ec67d5130f65ffc', '9e80f805fd6c7b93', '674ac829bbf8f50c', '102e45db9a58004c', 'a8ceb60f8190916a', 'eaf4b595a888214f', '8d5c76362cfbd82e', '1adadfa4ed535f3b', '9037a2323c37f9ef', 'e91f5d416c3d2843', '75c70da3562da0e6']; context = [[98, 133], [40, 68], [22, 51], [17, 46], [0, 32], [7, 39], [16, 51], [82, 110], [23, 58], [90, 121], [23, 51], [68, 102], [13, 47], [11, 46], [12, 43], [33, 62]]; loss = 0.026612 low_pass_filter = 0.300
+Epoch 0: | | 6049/? [58:51<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000, ltrain step 6050; scene = ['703860a4a2fc4649', '87fa399fdd73af24', 'b791fb38e3fd8d03', 'b020cec718b2a496', 'c12b4b8fce580e89', '06fbc8d45e60e49b', '004a40da569ee807', '47a8853f48974faf', '1844d01379136fde', 'da2b6199a9135d43', 'a741c7e0eff7ac67', '4b846a205819d8e5', '8c9eb97a7653d4f0', '8ca97af66552f055', '7b0d66794e39e197', 'f3c9b744a3ec8d81']; context = [[14, 42], [26, 56], [80, 113], [5, 37], [87, 121], [8, 42], [37, 69], [112, 147], [30, 58], [172, 205], [12, 40], [120, 149], [49, 81], [39, 70], [68, 96], [249, 277]]; loss = 0.024305 low_pass_filter = 0.300
+Epoch 0: | | 6059/? [58:56<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000, ltrain step 6060; scene = ['3ec0d0ccf599700f', 'f5bbbd8eae49d50e', 'd634cf82d36cc569', 'd2296281f2cdccf2', 'bb80f7a48ed9c0a3', '20834d8e45bbdbb5', '5450797888dcd06c', 'aa3fc2c24b0502af', '66b805afc45e8357', '7e9ebe40970c2a30', '348b1e8ab15f2c59', 'b0a6f8dc91bf958d', '552c35c6d99b5e62', 'c4ac11db4065a715', 'ade8a86455248182', 'b67893ee6b828446']; context = [[64, 93], [24, 54], [54, 86], [140, 168], [45, 79], [187, 221], [178, 210], [61, 90], [24, 52], [33, 66], [84, 112], [43, 78], [151, 179], [16, 46], [5, 38], [3, 34]]; loss = 0.026145 low_pass_filter = 0.300
+Epoch 0: | | 6069/? [59:02<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000, ltrain step 6070; scene = ['e7d421b2fea9ec9f', '3dfdf65958a3a147', 'b7cc2057e5de1cec', '0d07d28865590571', 'd4c1527f35f9d02e', '82ead84357395d56', '37de3df2a5fe9be2', 'a61f6deee7d1efd9', '2a96f489344c6a21', '704cdcb7dff6e7f6', '28289a1404a1fffc', 'd12442dc34f4a50c', '0373e83164c530d5', '90f8155bb721d1e2', 'a4ccd922e6147e0d', 'feb5bfece3b46df4']; context = [[7, 35], [30, 63], [9, 40], [19, 54], [37, 69], [12, 43], [50, 84], [13, 42], [88, 121], [71, 101], [61, 91], [22, 53], [75, 108], [54, 82], [73, 102], [51, 84]]; loss = 0.026123 low_pass_filter = 0.300
+Epoch 0: | | 6079/? [59:08<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000, ltrain step 6080; scene = ['dceedd8871d159da', 'eaa856546c0b26c1', '250a8529f9e40503', 'e7dfc1aaf25d8a10', '2cd454a8c49f2576', '204d89d3668801fc', '3aabdb8ab1418cee', 'f0bfa1ba98f8522f', 'dc0612ed1a7dec8a', 'de2e30cf9d705e9a', '87d35fbd345323bb', 'a0fe443e6d4d2ad8', '155a5893541ce04d', '3337e2c6bf01b35a', 'c5bf59924ede6660', 'ba27feeb604c917f']; context = [[134, 162], [123, 153], [5, 39], [103, 137], [49, 82], [41, 71], [40, 70], [37, 71], [34, 64], [38, 71], [18, 52], [42, 74], [12, 45], [56, 87], [16, 46], [228, 257]]; loss = 0.024802 low_pass_filter = 0.300
+Epoch 0: | | 6089/? [59:13<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000, ltrain step 6090; scene = ['47a5504a363ffd80', '03aeb7cc51b34332', '64ac5e883d17b31e', '3d48789267dda573', '9a3cd88e7992e094', '518b5b152dbe9bed', '1b7f416bc544663c', '28067dda0ffd7a29', '442516502d2ea879', '22b9f16c8dd1e8df', '5dbda7826d5a5027', '22644c4fbf43b33b', '72c2b1bac8dff909', 'e381359e340285d0', '305c01eefbbc2612', 'b64c39c43cba1b56']; context = [[27, 55], [37, 69], [45, 78], [149, 179], [35, 66], [138, 167], [0, 28], [51, 83], [99, 128], [9, 39], [55, 89], [15, 48], [14, 49], [142, 173], [113, 141], [0, 30]]; loss = 0.029126 low_pass_filter = 0.300
+Epoch 0: | | 6099/? [59:19<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000, ltrain step 6100; scene = ['7e460ab46bd78331', '0dbb47bae0f2a724', '5cda06618fa317be', '337389d2cf30eddd', '254ff05c2f88a003', '69f87b8846c283eb', '325d07b969357a2a', '86484f4e15b5b0e8', 'e9b908cc0c604c48', 'eaf0c851296befa5', 'bf9f368eb8ec8cd6', '67adab670d503371', 'a81a866ab3a3399b', '97d29bd86a6ef279', '5267386eb56ba0f9', 'aa419c5bb667ac9d']; context = [[88, 119], [93, 125], [43, 76], [22, 51], [11, 45], [6, 41], [94, 127], [5, 37], [100, 128], [196, 224], [104, 133], [67, 95], [29, 57], [86, 116], [60, 89], [133, 165]]; loss = 0.025715 low_pass_filter = 0.300
+Epoch 0: | | 6109/? [59:24<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000, ltrain step 6110; scene = ['60dcc267282f1fc0', '9e62da9ea512c1a7', '6f5809b57f53e0fe', 'daa71cd8881b791c', '9975000a90e2f784', '87898f9c70c2ba3e', '39efe3569042d482', '8f56fb936a827d6d', '7d747dbeeac960e6', '47c676b06a3833ab', '57f635805bc981dc', '079f05d5a14d5034', '48eb62d05fc8104c', '904340756df15268', '3fd762f6877a9c15', '38b78311ed6b92e2']; context = [[43, 71], [17, 51], [14, 42], [107, 136], [35, 68], [74, 107], [74, 107], [23, 55], [184, 215], [179, 208], [53, 87], [174, 209], [101, 129], [50, 78], [19, 54], [157, 192]]; loss = 0.026652 low_pass_filter = 0.300
+Epoch 0: | | 6119/? [59:30<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000, ltrain step 6120; scene = ['51f747ae14bb6624', 'defc305c0789a4ae', 'bd6541d0d39e080c', 'cbb5cea13c2693fd', '960502b7e0a59c95', '39dc11e7396fa5f4', '384c333906ffc6ff', '9337e5ae3d6f785b', '0f7964b5630134fe', 'fc82d5366229a1a4', 'efd3e783df28b0b3', 'c8c4ca4eca6a4493', 'a83a1aae9c8a1597', 'e86b478775b149eb', '2e00be39eb1d01e0', '90d6d007b496135a']; context = [[8, 37], [28, 63], [13, 48], [13, 41], [47, 79], [51, 80], [30, 65], [54, 84], [20, 53], [6, 34], [103, 132], [50, 83], [11, 45], [58, 89], [57, 85], [4, 32]]; loss = 0.024302 low_pass_filter = 0.300
+Epoch 0: | | 6129/? [59:36<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000, ltrain step 6130; scene = ['dd709a76c4ade039', '8860d3251307030c', 'f45afc69c757f740', '755be52fe347b481', '0865ab5087227a74', '262ca049a6cd4ded', '522da2a710ac5837', '18dedb90ea5f4869', '8d24e45a0fb34cd5', 'aaa1ef2a365d7781', '9b482a814f0a5481', 'ab4d903d5879e595', '88e7d46c7325e541', '3fcab25b002c8d8a', '46abbc7e39a5c1ce', 'de891429c0a521b2']; context = [[28, 62], [41, 72], [86, 116], [69, 97], [6, 35], [38, 66], [47, 80], [93, 122], [52, 84], [92, 125], [142, 173], [4, 33], [41, 73], [10, 39], [26, 57], [2, 35]]; loss = 0.027415 low_pass_filter = 0.300
+Epoch 0: | | 6139/? [59:41<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000, ltrain step 6140; scene = ['546252fa9fce9180', '7543d9df60679634', '03203af97d6cf03e', '64fe48431956f5a4', '193e4b6a051b246b', 'd5748016f2f59e88', '21c70595a4f20e8c', '871c5356143bef59', '212d92ca9842dae0', 'c16bce558661b9bd', '801ab8d734858805', 'd6590efad5308453', '7713d909cf7bda4c', 'd04a28d0772e76c8', 'cc25909697786aad', 'f5a615c356cab245']; context = [[95, 128], [42, 73], [7, 37], [163, 193], [88, 117], [66, 97], [26, 60], [7, 35], [70, 105], [3, 34], [9, 43], [3, 37], [50, 79], [145, 175], [13, 45], [126, 159]]; loss = 0.027352 low_pass_filter = 0.300
+Epoch 0: | | 6149/? [59:47<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000, ltrain step 6150; scene = ['8539028ddcf147af', '7036714988a42b40', 'cc36592f7efd1256', '48608b5e820962c5', 'ddf55954b077bbeb', 'd5f301b7bd22ad8a', '64fdea66782dc649', 'b7d857ac614f9c3c', '9559990c1ce5c206', '9046b906e0747a38', '357a8bc6707958f5', 'bd15af2177366253', 'cd9f053b1d36a673', 'd6820efece05e85e', '8260ec1725da9848', '8c4e0111b36af46d']; context = [[1, 35], [75, 106], [10, 43], [83, 114], [7, 42], [70, 99], [0, 29], [72, 104], [4, 38], [34, 67], [144, 172], [84, 116], [22, 50], [40, 73], [84, 114], [52, 82]]; loss = 0.028242 low_pass_filter = 0.300
+Epoch 0: | | 6159/? [59:52<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000, ltrain step 6160; scene = ['8f37ae19ca4347fd', '62fc2a227b8adab0', '7b5286bc593e9b13', '4d2c2b44b15892a4', '2b64a3cbed138794', '7dd8abf5a77ad604', '91f92567f60c4867', '38e0ce65725c8c88', '201e4c621f0af834', 'dd19239cfb212f68', '9458fd60c0f2374e', '73089f2cde9f9cd0', '458f1f02c4925632', 'b663a474fd1e4ca4', '369116e3e1ccb242', 'b2f729d5f7cfe880']; context = [[206, 234], [9, 42], [92, 127], [186, 215], [3, 33], [91, 126], [21, 53], [154, 186], [0, 28], [60, 93], [106, 135], [0, 30], [11, 43], [6, 35], [6, 38], [7, 41]]; loss = 0.023497 low_pass_filter = 0.300
+Epoch 0: | | 6169/? [59:58<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000, ltrain step 6170; scene = ['352ea39555d2784c', '99b2c348478c7dc7', '78b33905f02eff69', '5df7fb86d276c3e4', 'c4a661b87bafd966', '222307f0de237e9a', 'f339009a2e1e63aa', '94b9a93004f86b54', 'f3bad8dfa6cc4bb2', '3488c217a07fd3a0', '4bc6406d8cd174dc', '5d80dc463d9b37c4', 'cfaf07608a30fb9b', 'cc06f0648f4a435d', 'de18f2282a2a400c', 'ea3a3e520788f50e']; context = [[16, 50], [109, 139], [0, 29], [113, 145], [22, 50], [46, 81], [17, 51], [44, 78], [92, 123], [94, 128], [30, 64], [21, 51], [1, 31], [62, 92], [53, 87], [14, 48]]; loss = 0.027159 low_pass_filter = 0.300
+Epoch 0: | | 6179/? [1:00:03<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 6180; scene = ['70a1d752911d5737', 'b5ca8a726d6cda0b', '1c31e603447504e3', '49b0f26fa937033a', '7a8f01d36193f7e3', '9ded63a7543cee38', '11b68ddc34409767', '7d50b3a07e52acff', '9e628a03deba8464', 'c0841d45df55fb83', 'fac67aa77bcafd10', '88486351f619919e', 'c474913aab1ebf5c', 'a3bfa543314a0068', 'aa45fdff1cdb9838', '00664b826ec082e8']; context = [[10, 43], [41, 71], [31, 59], [47, 82], [16, 46], [32, 61], [23, 54], [65, 93], [19, 53], [26, 55], [12, 45], [9, 37], [10, 39], [18, 46], [38, 69], [154, 186]]; loss = 0.028247 low_pass_filter = 0.300
+Epoch 0: | | 6189/? [1:00:09<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 6190; scene = ['81d9554ed347307c', '232777ce6c9eabc0', 'c0740961ddca5c98', '0b15419859947894', '14032e27d5868321', '7d900c809e896e32', 'f0b69a3d4d2e4db2', '677e8ff48506dc49', '7a471a0c4fed1464', 'e705e9ebe38e0f37', '4f56e3a668cd9856', 'c5e52d22a51681f0', 'fa8b1c66012605dd', '18b42abc37807ecd', '1385c61c89fb3dc8', '6a78d996225de1c3']; context = [[30, 59], [31, 62], [11, 45], [89, 120], [18, 50], [12, 41], [152, 183], [109, 141], [42, 72], [3, 37], [26, 59], [176, 211], [22, 52], [104, 132], [59, 92], [16, 46]]; loss = 0.029858 low_pass_filter = 0.300
+Epoch 0: | | 6199/? [1:00:15<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 6200; scene = ['6edfc46eec151202', '9cf4511625b44389', '94a58590c20a67a6', '2c0939fba79df7ad', 'f1cbd0e2909c8ce7', '64fe2e10e340ebc4', '0762d4d82b19cc37', 'ad6fa2297bbfa91c', '22b1b9bebc0a0520', '6494828a237a7a69', '1849a41079039a3a', '4a3ff4b7939ec268', 'dbb7151643a69e0c', '6a2a2ff9c392fefe', 'a270004198eddd9b', 'a5c9cbbc7e1d69a1']; context = [[63, 94], [19, 53], [115, 144], [149, 184], [173, 208], [8, 36], [34, 66], [0, 29], [33, 67], [16, 47], [44, 73], [18, 51], [121, 155], [10, 45], [121, 151], [54, 84]]; loss = 0.023459 low_pass_filter = 0.300
+Epoch 0: | | 6209/? [1:00:20<00:00,  1.71it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 6210; scene = ['be478cdb0e09fa67', 'a1dedbb93ccb1ada', 'd2bf3cc61876b88a', 'd61d4f9ba6cca3f0', '61b9def6cdf00024', '4e3d75f0a55f2f7c', 'bd141e65c0d97802', '886e55c605c891d1', 'f6524ab7935064b1', 'fe263d56b953be62', 'e1923ba07570dd9e', 'a0846eb1c9a514af', '6f7fb82bc9ee59c0', '10ff4d2a82201191', 'fbc9e1286569052f', 'c79c50b706239924']; context = [[54, 86], [50, 85], [23, 58], [138, 173], [191, 222], [82, 115], [56, 91], [11, 41], [69, 99], [152, 182], [50, 79], [29, 60], [76, 107], [82, 110], [3, 37], [1, 36]]; loss = 0.025804 low_pass_filter = 0.300
+Epoch 0: | | 6219/? [1:00:26<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000,train step 6220; scene = ['21f0b62cb5810288', 'c5c352e72df9640b', '809658c303767e17', '9bff32f6dc3defea', 'ef37be4851962545', 'a3a5884addc0279a', '7068fd93a41de3a9', '24a67da9e605b0ea', '893cad7c624662b4', '29caaff58a530496', '37d8d38f0ac90651', '5376cc836571e8d6', 'aa809e649155f86f', 'a7cdd9d5e6221d68', '08f02e7ec7dd69da', '97e5fefa9c5dbd82']; context = [[22, 50], [174, 204], [38, 67], [82, 110], [187, 218], [28, 61], [51, 84], [112, 146], [19, 51], [9, 37], [15, 49], [127, 158], [127, 155], [18, 52], [3, 31], [33, 63]]; loss = 0.026082 low_pass_filter = 0.300
+Epoch 0: | | 6229/? [1:00:31<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 6230; scene = ['74b28af6d0cbe407', 'd8c5e90225704aea', 'fd03288e7a92cca0', '52004686b48e29f3', 'f2132aa929026299', '4296043230e5cb08', 'f9405ea3b4084c33', '7cfad9304d304a1a', '51eb269cd04978af', '7fe1c7ffa6d39553', '87b550e1dac66e2b', '2b8a66a785038b4b', '5e5083d240be35ce', '2fb6d1f313d8caf5', 'd4794bd8ac6b13c4', '6702a69449ee5d23']; context = [[6, 38], [4, 37], [110, 138], [35, 69], [45, 80], [85, 120], [53, 84], [23, 53], [42, 77], [41, 70], [39, 67], [22, 55], [43, 75], [71, 99], [112, 143], [33, 67]]; loss = 0.028923 low_pass_filter = 0.300
+Epoch 0: | | 6239/? [1:00:37<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000,train step 6240; scene = ['c0a9cb4119700916', '8d2177a8a4d1d620', '4cd8e871503e9784', 'd7324cfb14443dc8', '3e1861f4f3b18e2b', '74ea79b22a813a76', '0598d89d419be817', 'c95b1f5407efedee', 'bddc070df15c5bd0', '3a4c7009fbce0505', '09b98e71b6edf251', '64653ae7604b71fc', 'e09e5c6b7bfe74bf', '9b49446e9c10131b', '5c4a9e9bb823c7c0', '97258bc8c51b4d85']; context = [[0, 28], [24, 52], [19, 49], [6, 35], [114, 142], [8, 38], [46, 77], [7, 41], [175, 206], [27, 59], [35, 68], [97, 127], [7, 38], [131, 160], [35, 66], [126, 154]]; loss = 0.026255 low_pass_filter = 0.300
+Epoch 0: | | 6249/? [1:00:43<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 6250; scene = ['c06dc1d24e73b1b6', 'a508ee63269e07be', '3e1333cca3b7486b', 'b6cc5bc6ed31f2a0', '0674107d490c6586', 'ebab476bb06eeeb0', '233dc4174425622c', '3a93864c87776b40', '6427a92bd26fcfa8', '0470da7b9a57db02', '41efa10222f0f457', 'b256a6f34715b553', '4020994643af2136', '084f6254600e67d8', '93856e139485fdc2', 'd933c4814c8fff26']; context = [[129, 163], [185, 219], [31, 65], [49, 80], [171, 204], [168, 201], [41, 69], [63, 96], [15, 44], [100, 130], [7, 42], [129, 158], [8, 36], [23, 53], [40, 75], [7, 42]]; loss = 0.024949 low_pass_filter = 0.300
+Epoch 0: | | 6259/? [1:00:49<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.000,train step 6260; scene = ['f12525f7becadc47', '52cc0ae108971258', '2b6a1efe983fbb21', '8d08c7ea1726e42c', '5d3116380b1a12ed', 'c8d451059ee45199', '7101541e2e4954a0', '82052140f174ac58', '7eec4596331ce590', '958fe0064cdf4fa3', 'af337d532480c9fc', 'c3c8116aa7b8bd72', 'f7de3e254a610c99', '13fb5d75101de85f', 'd03638b6a5e9ea98', 'b2c8cf3f01c1260f']; context = [[41, 70], [96, 125], [45, 76], [6, 36], [0, 29], [44, 77], [15, 48], [114, 147], [133, 165], [135, 168], [12, 42], [77, 112], [14, 47], [77, 108], [3, 36], [56, 89]]; loss = 0.027597 low_pass_filter = 0.300
+Epoch 0: | | 6269/? [1:00:54<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000,train step 6270; scene = ['a42dd17c389a1fab', '34dfa3f97b956c75', '0bded1b4113313ff', '97e078e5763d88f1', '8d7eb1bbf8729a14', '5bb0264b89a68394', 'ac7cb7de0f9685ae', '069013b86c2b5e99', 'ddda9d33b08dfba9', '9e409d0392d4f763', '2925cbf7ba6f1d8f', '8842ecc795060164', '387b69e395b27574', '3d1b5179f6509fee', 'e4f49bede305510e', '67d2487d7b4bde8a']; context = [[4, 36], [39, 72], [24, 58], [64, 93], [47, 76], [2, 30], [60, 95], [138, 167], [145, 177], [4, 34], [35, 69], [1, 31], [203, 238], [6, 36], [79, 112], [3, 35]]; loss = 0.028039 low_pass_filter = 0.300
+Epoch 0: | | 6279/? [1:01:00<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 6280; scene = ['b7267845bbbf2bd8', 'b256a6f34715b553', '4020994643af2136', '783051dd9020dfe6', 'd933c4814c8fff26', '93856e139485fdc2', '084f6254600e67d8', 'cdd783d1345bb1dc', '41efa10222f0f457', 'be2d60a8f801c080', '0470da7b9a57db02', '6427a92bd26fcfa8', '323bdfae8bc5f180', 'b4e91f9bcd03f6c7', '38f50a03d51f7cd4', 'aa09352702c3e9ec']; context = [[37, 68], [88, 120], [0, 32], [109, 140], [21, 55], [42, 75], [40, 74], [149, 178], [13, 45], [25, 60], [134, 168], [24, 53], [25, 57], [42, 73], [38, 71], [33, 62]]; loss = 0.028528 low_pass_filter = 0.300
+Epoch 0: | | 6289/? [1:01:05<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 6290; scene = ['9aa8bb12a358a321', '19bbea9cd53e2900', 'b3bdd93444967e32', 'b94d375ab2d2cc1d', 'bd11fed87668a3fa', 'c7e3d08428472eb9', 'a296d5cba5f086b5', 'eba9280b3b5f62bb', '52728d137e221123', 'c1432ad50b513b5c', '6bd51046c0095f98', 'ea924043a3f5c5c3', '35789bad85a45ba0', '3cc43661190764da', '7ecd8192e83bd9bc', '3670ced044c09f1c']; context = [[101, 130], [124, 154], [64, 97], [14, 43], [31, 60], [92, 127], [14, 46], [115, 144], [7, 41], [48, 76], [25, 54], [84, 119], [1, 32], [202, 232], [37, 68], [2, 30]]; loss = 0.028426 low_pass_filter = 0.300
+Epoch 0: | | 6299/? [1:01:11<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 6300; scene = ['1e070505986c54a5', '624486ee37748faf', 'ae1755f58300ea88', '1873d83890130cc5', '4fa8e4f5149aa699', 'd9821e4efde3a1a8', '0ff090d3c369f6c8', '14053624ed480f07', '32c4e7e7620ca3ab', '0a33e2c93db81d0d', 'b5e61c43daaee8a7', 'a3c7fde6913f3129', '9ed9d087eb810705', 'a6715bda26811e65', '7357221d2b544d6d', 'e8d513561d262165']; context = [[63, 95], [64, 98], [0, 32], [16, 45], [4, 39], [57, 88], [46, 76], [212, 243], [12, 44], [63, 94], [118, 149], [99, 127], [32, 60], [22, 53], [34, 65], [15, 44]]; loss = 0.024758 low_pass_filter = 0.300
+Epoch 0: | | 6309/? [1:01:17<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 6310; scene = ['ff3eee34e57cf3e5', '67bd3eefd07e6042', 'a1d5d19d06c605ef', 'c02870011a3c5afa', 'bb921538d58b7231', 'b0c97926eca1b63b', '710fcd11025c6ce5', '3a4e08a3f02ad769', '93b36a54151e085e', 'cd69cde6b6bab65c', 'b7bd6d27ca23e643', 'd358cb839f4c7497', 'd1330eb904da306a', 'bf0e2d3e9c2df580', 'fa858bff135c195b', '0ada6fc4284b7559']; context = [[41, 69], [97, 128], [42, 76], [10, 44], [22, 56], [54, 88], [6, 39], [43, 78], [91, 126], [11, 46], [17, 48], [12, 46], [56, 84], [122, 152], [2, 36], [30, 61]]; loss = 0.025889 low_pass_filter = 0.300
+Epoch 0: | | 6319/? [1:01:22<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 6320; scene = ['a8159d5139330794', '26a57e64e16d1b10', '0c5b80baf8409a20', '461f43457daa4b50', '5e1cb673bf14592c', '00e3ca22a19234c6', '2048a925828db781', 'ad10e1f4f1c67e4f', '1648401b99f56c6f', 'c455ad56b54ebf33', '3371673f5019416a', 'f5fd8bc3c0c06cb3', '4318b7c4cab511be', '37ca0025deca4413', '17ceb953ebcd73a3', '9f1432341e057935']; context = [[5, 40], [13, 45], [57, 85], [110, 141], [19, 54], [86, 116], [4, 35], [32, 61], [58, 91], [149, 181], [113, 145], [138, 171], [1, 31], [1, 34], [1, 36], [41, 74]]; loss = 0.028285 low_pass_filter = 0.300
+Epoch 0: | | 6329/? [1:01:28<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 6330; scene = ['61e3e84381035cff', '5a3813f3a3a54500', '27f4e49e83874403', '9b83f1a3f85059e8', '762c6ce5eddd3d49', '3265a83065359f0b', 'c8c116c28ca108b0', '58aec0707d094569', '656546e561aec370', 'db062134f9dec5f1', '6713a81ed431d91d', 'db25ce184054217a', 'c37054cf8ffe745a', '17fd1455db906f86', 'd34fb0e92018e2a2', 'da127d5d82256afd']; context = [[175, 210], [4, 36], [221, 256], [10, 39], [8, 36], [173, 207], [136, 168], [67, 102], [45, 80], [8, 37], [164, 199], [98, 128], [214, 244], [1, 30], [0, 30], [12, 42]]; loss = 0.027916 low_pass_filter = 0.300
+Epoch 0: | | 6339/? [1:01:33<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000,train step 6340; scene = ['66680f2ffd969227', '7de38ac4e903910f', '455ef17251608d98', '9388ca301f4e0bd1', '8dd198d245a49bd5', '86440d86f60644b7', '19d9966b8862aca3', '968ff100023b7cfd', 'd7b308d30c7e7630', '0a1ca07f00de4dbd', 'b66059464cc436c0', 'b52203577bf5ab66', '9a9613d89b1c8587', 'f19f3a8c609a931e', '662a9e07c239751f', '3c6672f82f7440d0']; context = [[2, 31], [108, 136], [26, 61], [3, 34], [12, 46], [70, 99], [20, 51], [75, 104], [39, 74], [36, 68], [2, 33], [20, 51], [168, 199], [38, 67], [49, 78], [5, 38]]; loss = 0.029636 low_pass_filter = 0.300
+Epoch 0: | | 6349/? [1:01:39<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 6350; scene = ['888bf64fd7dab7fb', 'c3d4357faf0629eb', 'c5a156ed24138140', '564ba7db455ecc8a', '858a56679ac008f3', 'bc4a463315bb06d5', '26d62f7d40ec88fe', '3698e5e9d4d1401e', 'bdacd02f0e4a8f39', '5c92b85085b1ca15', '70259ee1fe26f85b', '952266003cf8ccc1', 'b94d375ab2d2cc1d', '19bbea9cd53e2900', '9aa8bb12a358a321', 'f8de6ddeeee4a948']; context = [[61, 92], [32, 64], [146, 176], [1, 31], [3, 33], [109, 137], [213, 241], [11, 41], [8, 41], [91, 120], [85, 117], [74, 102], [47, 77], [105, 135], [10, 39], [28, 58]]; loss = 0.028123 low_pass_filter = 0.300
+Epoch 0: | | 6359/? [1:01:44<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000,train step 6360; scene = ['509aa3fc9305eb97', '4239b3c0bca9c8dc', '2ac05e9d999a0606', '6daa1ca4f0955baa', 'f6b4c51274377db3', '5d3751961c92953c', '86937751406e1534', 'a191c34eb75bbaec', 'bd834d7c62374c59', 'f1a7d46e25785471', '69a6e3951e138ca8', '069c4f8d7a3225b4', '63ea3195b2c0c4ba', '4be7b2dbfbb85134', '097a068e47a7ae49', 'f4a34387a442d930']; context = [[85, 120], [31, 65], [107, 140], [22, 57], [13, 41], [8, 43], [0, 29], [32, 62], [22, 56], [68, 101], [34, 69], [15, 49], [109, 140], [24, 56], [0, 32], [38, 67]]; loss = 0.030853 low_pass_filter = 0.300
+Epoch 0: | | 6369/? [1:01:50<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 6370; scene = ['f0ff5249cfacd78e', '887489db725c85cf', '5bd435613019cce4', 'c42bcfafd9cb444b', '2b7562bb978b9c55', 'bfe8156cb1a8579f', '9afee95cff0812ea', 'ca9b38ce47bfa104', 'bd1fd2adaa7237b2', '00eb888adeb84cab', '313d30db9151485e', 'e2d00dfb8912d7de', '17ceb953ebcd73a3', '2048a925828db781', '3371673f5019416a', 'ad10e1f4f1c67e4f']; context = [[33, 64], [205, 237], [2, 37], [25, 54], [70, 104], [13, 41], [147, 177], [0, 34], [35, 63], [50, 81], [5, 37], [19, 54], [75, 103], [112, 145], [33, 62], [51, 82]]; loss = 0.025214 low_pass_filter = 0.300
+Epoch 0: | | 6379/? [1:01:56<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 6380; scene = ['b130ee80182f5a4c', 'a8d73f79bd0991a2', '1c5722cd92190398', '1ccf8e66b3204773', 'c29d5f58f66a9102', '3421821e39949234', '1bd50f99c461fa1e', 'e5406e09b4bd291d', 'e3163ed6369a0cc5', '3354fd1e4ed18583', '61e3f2a90af611b2', 'a2a4bb9b88e3f271', '2e42cb5881b4a406', '32f5d4268f84fbd7', '863db1233b424c9e', '8f937b1a518a93b5']; context = [[114, 144], [21, 55], [28, 60], [161, 191], [30, 60], [117, 148], [7, 41], [12, 48], [3, 33], [67, 97], [19, 47], [30, 61], [237, 273], [21, 55], [0, 31], [5, 38]]; loss = 0.024581 low_pass_filter = 0.300
+Epoch 0: | | 6389/? [1:02:01<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 6390; scene = ['804a28c80dbb7cf6', '40a36a6b415dcae5', '7f2487897b9a59ba', 'd8b1092e3ee04227', 'e2a60d710e081071', 'b123dd2c895e2267', '06a5584434579664', '3c13718c6eb48df3', '1fbf35024dbf8d68', '40310afa91e30b40', 'a0a563271ffc0f65', '693fbf5b514480f0', 'b679f3152c617803', '46c0694e9ea28be3', '3aecc725df673f7e', '03a215962a6aa73f']; context = [[29, 62], [173, 202], [137, 171], [174, 204], [6, 35], [69, 104], [39, 71], [69, 103], [21, 54], [20, 50], [3, 31], [122, 152], [117, 150], [31, 60], [75, 107], [7, 36]]; loss = 0.026422 low_pass_filter = 0.300
+Epoch 0: | | 6399/? [1:02:07<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000,train step 6400; scene = ['bfa9042d0f35d6df', '1e55d866b0335343', '7ce59b93cd4d98ac', '63d30096d9447949', 'ecd91cb5b8acbad9', 'c520e25d5bd303ec', '3a23196a9efc08f9', 'b57f18d01f582bb4', 'd29eac762e09103b', '6583004edc10b2ab', '975e9c52315ddd59', 'f7980dfee953056c', '9e8ecfc74a51c2e6', '56fa185e2826487a', 'c93f8db3889b8147', '3780a47aa7d1b0b9']; context = [[4, 38], [12, 42], [29, 57], [56, 86], [57, 91], [51, 83], [236, 269], [6, 39], [48, 82], [152, 185], [20, 51], [6, 38], [43, 72], [28, 57], [127, 156], [60, 91]]; loss = 0.024281 low_pass_filter = 0.300
+Epoch 0: | | 6409/? [1:02:12<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 6410; scene = ['c1429337eae3bdae', '9751e8058f939d35', 'ab1e0faf35dc0be5', '288832141f62b722', '14765a41ce267f7c', 'c98d08efbe25cc18', '31be810a3c76377f', 'c0e14416e501d5b2', '814d0c2bfc701a48', 'a4cce98abe0edccb', '6ee631bcd878630e', 'b1d2c60a3ac8a360', '9cea789f066202b4', '64287c467f9c455b', 'c93ec0822f6593cd', '02031ea8770f3ef7']; context = [[106, 141], [2, 37], [162, 194], [0, 30], [14, 46], [12, 41], [36, 66], [49, 82], [127, 159], [18, 52], [26, 59], [3, 31], [24, 59], [6, 41], [35, 69], [64, 96]]; loss = 0.024415 low_pass_filter = 0.300
+Epoch 0: | | 6419/? [1:02:18<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 6420; scene = ['7096e6c54a73bbb7', 'f23b53a13e9157ab', '464dbb8da6dfa7ca', '7b767a0221ce1f82', 'c8f3d951b2edde1e', '5a3d833285fcbd2b', 'f01495bd5fb2fef0', 'ba05a98aa0607b00', '463c0e908ba09a7f', '18b42abc37807ecd', 'bb27dd7eebf259b0', '1385c61c89fb3dc8', 'f07fbd53c819dc31', 'd4f76d17144952a6', 'd756f9034c513c4e', 'fa8b1c66012605dd']; context = [[15, 46], [23, 53], [43, 75], [3, 31], [41, 74], [219, 248], [13, 43], [53, 89], [164, 196], [25, 54], [30, 65], [24, 54], [7, 39], [91, 119], [9, 43], [41, 74]]; loss = 0.024803 low_pass_filter = 0.300
+Epoch 0: | | 6429/? [1:02:24<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 6430; scene = ['c474913aab1ebf5c', '88486351f619919e', 'fac67aa77bcafd10', '7d50b3a07e52acff', '7e39808967de46fd', '89cbee6e1a545e3c', 'a186d207ceb04a3e', '03e2367ca6e441ed', '5ac2a4b054c3af89', '51289aa1b1943159', 'e08818e4ab5232b0', '3689a99fb9aba35b', '27ba4ece5f7f5fb0', '4224582c00348ddb', 'b1445eea64734834', '2824dd170b15dbe3']; context = [[13, 44], [35, 68], [3, 36], [39, 72], [3, 35], [20, 52], [10, 40], [16, 52], [221, 252], [15, 48], [26, 60], [142, 178], [17, 45], [5, 39], [75, 106], [16, 49]]; loss = 0.022898 low_pass_filter = 0.300
+Epoch 0: | | 6439/? [1:02:29<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 6440; scene = ['6287d38e05cac533', '3966776b9405bb07', '64ad08063f129a06', '326dd7b41ce515ac', 'd6dcef8ef3405d4a', '2184b89353ea3527', 'a1abef854099368f', 'e7f194ddf2bdd94f', '135cc677e20df588', 'c2083e2d07063bdc', '3bcd60aa10534c91', '0635a3619c622723', '1eb802d8fe855ed6', '873e47aefa88e8cc', '5b6d2302ce6b01fe', 'ed53bf7b8e6dc9d1']; context = [[3, 39], [19, 49], [179, 210], [24, 52], [20, 54], [217, 246], [17, 49], [4, 33], [197, 227], [8, 42], [146, 177], [47, 80], [67, 102], [27, 63], [17, 48], [64, 93]]; loss = 0.034454 low_pass_filter = 0.300
+Epoch 0: | | 6449/? [1:02:35<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 6450; scene = ['b413fae69c400d34', 'add5a0ceec02fe34', '1c0ca2e3cc6be372', '7a26af750ba9ab8e', '3de83835be367bdf', '5ea5a5ed231c5753', 'c386044808598461', 'daff359bb3c9a72d', '23455f0f5d2567ec', '0f6bd86d073ffa4b', '6d1341b87237bb6a', '8d2cc65bc5823183', '82cdc87bb2169311', '7be1f03b786006fc', '20607fd2e40f16c9', '9aecffee631175f9']; context = [[43, 71], [6, 37], [15, 47], [10, 45], [19, 54], [11, 43], [1, 34], [170, 200], [1, 32], [12, 44], [38, 67], [32, 60], [95, 124], [50, 80], [16, 48], [179, 211]]; loss = 0.027081 low_pass_filter = 0.300
+Epoch 0: | | 6459/? [1:02:40<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 6460; scene = ['7d224cf5d21ac550', '3107f55855aaac8e', '6e5c796fcf4536da', 'cf28c4553759a3d3', 'c4876402c765d235', '72fe1f7792f18024', '87d6f3be9dc23e27', '1ce11184b4533d8f', '7715cf124575870d', 'e0be076bbc19ccf4', '132b518d21ec0496', '0d647f8c15b77aff', '18ea0f573a5be31b', 'd7aa434fdd523b05', '46ce7490a1d4098a', 'd43782bc52efc05f']; context = [[1, 29], [41, 73], [19, 55], [8, 42], [9, 38], [9, 40], [14, 45], [14, 47], [216, 245], [54, 83], [162, 194], [72, 102], [21, 52], [0, 28], [4, 38], [166, 199]]; loss = 0.027743 low_pass_filter = 0.300
+Epoch 0: | | 6469/? [1:02:46<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 6470; scene = ['e398b4c185dfe0ec', 'ac7a43e9429a0052', 'a3258db2b20d72c9', '8310605001f9033d', 'bae8e9f786e36bdd', 'fd9bbfa2cdf4f527', 'de764d0866fd6579', '6e5b881edbc8853a', '4f53cea3b8ae5ece', 'a33629c64ce117d4', '17384a4de1d3a10b', '834119d6d119fe85', '9d672acc0ae342fb', '9b48f28a886221dc', '784a7e6869056799', '16b4e82873823f23']; context = [[0, 28], [15, 46], [37, 67], [1, 34], [81, 112], [2, 38], [134, 170], [109, 138], [71, 103], [14, 48], [7, 41], [56, 87], [8, 43], [29, 60], [24, 53], [46, 75]]; loss = 0.024404 low_pass_filter = 0.300
+Epoch 0: | | 6479/? [1:02:52<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000,train step 6480; scene = ['60f44760b582383d', 'a60d879f1277a549', '3aebea0441273ddb', 'd5272ec25feb6ba1', 'f407dfbf20e9cdd8', '3aa51ffb5daa1f14', 'd6ea07dbb2167eb5', '406118df679fdf02', '3762a77b150981a7', 'fa337fc40abfcd03', '80998e4a83ad49a1', 'af266e9907e855a3', '4c4cb796127df3c8', '7856307929acbfc8', '1b632edc8e057995', '00407b3f1bad1493']; context = [[103, 133], [36, 64], [19, 51], [21, 57], [41, 70], [10, 45], [24, 52], [37, 71], [5, 41], [132, 164], [1, 35], [33, 69], [33, 63], [33, 61], [11, 41], [30, 64]]; loss = 0.026201 low_pass_filter = 0.300
+Epoch 0: | | 6489/? [1:02:57<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 6490; scene = ['7caf9a683e5004e1', '91f3903b83e314c9', '2371de80f56e9707', '9c2b47a9a5a229cd', 'ca842b977ede6e8e', '19d2cf167593bdb1', 'e367fd33b59dbf40', '0af84dfcb9f53f97', '68dd157e5cdb64bf', '95e435653707db95', '86ade92fdd01c027', 'df1b7ba1b76c0fd2', '07f649f009a0ad83', '0dcfcde90eebe469', '528b96fa2edce81a', 'f21dea2e3ed6d91c']; context = [[27, 61], [46, 79], [101, 137], [45, 74], [6, 39], [36, 68], [56, 91], [62, 98], [67, 97], [42, 70], [82, 117], [79, 111], [160, 188], [2, 33], [14, 44], [77, 107]]; loss = 0.023389 low_pass_filter = 0.300
+Epoch 0: | | 6499/? [1:03:03<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 6500; scene = ['d0ee747ebdd26d7f', 'afefafce8f467d96', 'bd8103bcb04d32e1', '895fe07be01436f1', 'f26e8a72f69b6153', '89fbc4149a5d7348', 'f26c35b6e5dca2b9', 'f716f2c75818e81b', 'cf448a6667449deb', 'd7ca12daf958dfb0', 'ce49d261f160bec5', '59a2c3a5b8a6bffb', '1d76416a352af266', '93db4526d3da8de5', '8796d47632100ac7', '28c7a26b633278b6']; context = [[83, 115], [5, 39], [4, 37], [20, 53], [24, 59], [42, 77], [19, 55], [60, 92], [18, 53], [14, 49], [26, 57], [63, 96], [75, 104], [107, 141], [45, 74], [67, 98]]; loss = 0.026979 low_pass_filter = 0.300
+Epoch 0: | | 6509/? [1:03:08<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 6510; scene = ['c36f74da56624bd1', 'f5dab08eb895b9ee', '18482d88135a659d', 'd6fd8b9f46aad33f', '5b1868f7fba0e332', '3e43caeaa20014b3', 'abfeea3161d48386', '2a6d1957a9650cf7', 'b39d068c042892bd', '9bffc77b620ec199', '4493b7d50eda3799', 'c1bed67f2b905373', '99d19ee61f82d027', 'e5d330804f22bdb0', '1a85ef99f6b5ff47', '8fd587f27eb122f8']; context = [[20, 53], [21, 51], [5, 35], [5, 35], [9, 42], [13, 49], [140, 173], [34, 68], [228, 256], [8, 44], [29, 65], [3, 35], [12, 45], [0, 30], [30, 59], [74, 110]]; loss = 0.027433 low_pass_filter = 0.300
+Epoch 0: | | 6519/? [1:03:14<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 6520; scene = ['7d421b7ed969692e', '3a3e444a266111a8', '75ad99f487478b9d', '25f075f3ff1a965f', '503c1ba7fd62e506', '606170b130cd4e83', '18f88993908bd910', 'af3fdd67523bddba', '4c477aa6361a0fde', '332f713c774753c5', '05545258ef753fc9', 'd33f35a46b270c6d', 'ac92cc602ac3cffd', '648c4e302d8be549', '9191b2f74c5e2a97', '4fd60025fa875e4f']; context = [[66, 97], [64, 99], [105, 139], [19, 49], [68, 101], [25, 54], [83, 119], [22, 58], [20, 51], [120, 155], [41, 74], [9, 39], [45, 77], [40, 69], [53, 89], [2, 34]]; loss = 0.023120 low_pass_filter = 0.300
+Epoch 0: | | 6529/? [1:03:19<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 6530; scene = ['0ad07becd5278e08', '9895ddb78dfb1d04', 'f70e853af8735679', '5c17394155748093', 'f231ec8aae351c5d', '08fb0a49e76ae00d', 'f05b0d2de6f263ff', '5441c943ec7a6606', 'cfee77c0ae0956f8', 'e4501419231443b0', 'fe2eddcb5f8419b0', 'e40d0e8bef4155ed', '9f9f9beffb86fad7', 'b14bc591c46c4b84', '346797eb0e9a8369', '88f74dbcace1df00']; context = [[52, 87], [6, 36], [1, 36], [61, 93], [0, 28], [78, 106], [40, 73], [176, 206], [69, 100], [32, 63], [57, 90], [142, 174], [168, 198], [123, 153], [12, 44], [13, 47]]; loss = 0.027269 low_pass_filter = 0.300
+Epoch 0: | | 6539/? [1:03:25<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 6540; scene = ['7822e98d0f6f0d03', '4413283f8f97206a', '294543e5051d23b7', 'f26a68de5e50e0f2', '89865fbae2d079ef', '7cde89954899d263', '6b018f51e78af306', '35da309cfe0271e5', '65c475803b9b5228', 'e63271fb76683a3f', 'f2f21e00e8036928', '0914ab351ada6998', '881d748f1bf21e60', '5e4b0194308cb338', 'ba8683c7d9392cae', 'dec8aa28b4402b50']; context = [[79, 111], [230, 258], [203, 233], [111, 141], [11, 47], [1, 32], [8, 36], [73, 107], [17, 48], [31, 65], [37, 65], [15, 47], [6, 41], [12, 43], [19, 49], [64, 95]]; loss = 0.028788 low_pass_filter = 0.300
+Epoch 0: | | 6549/? [1:03:31<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 6550; scene = ['3e6ad322429b2653', '8a5f209051718c6a', '90030ea28e39cdde', '939b149fc1e94463', '69368851abc7c9e3', 'eaf0e7a5fe9733fd', 'e0ae152da465074f', '4e6e8201992e69d5', '2e5d2e485266da3f', '65be58a8cdaa068a', '202a76a7395c2204', '79d5406890bb5418', 'e195bc4cc8336d33', '5be549a6c70442c5', 'b33135b5df8fa7d7', '2c59402512b86195']; context = [[3, 33], [20, 56], [24, 54], [45, 76], [107, 141], [46, 77], [52, 80], [100, 133], [18, 49], [49, 78], [108, 144], [5, 39], [38, 68], [40, 76], [120, 153], [67, 101]]; loss = 0.023549 low_pass_filter = 0.300
+Epoch 0: | | 6559/? [1:03:36<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 6560; scene = ['c589be27060ee4a9', 'c634b4875dcf3f5a', '7d38125600bbb7dd', '3c4c974cb4c99ec8', '21cdb061965f9b4b', '319f501207f10fa4', 'a679f322e22ef3a4', '7eaa23d04951ffe6', '3dea1f0782724e2b', '0713aabe3917739d', '7e9532ad39a6f4af', 'be553334cc0aecbf', 'c77420b51c2e86d5', '35be366ea8fc6899', '386e71f55a2947db', '04323ad83985f199']; context = [[42, 77], [29, 58], [174, 207], [117, 151], [17, 52], [79, 110], [58, 86], [84, 113], [0, 29], [105, 138], [61, 90], [136, 170], [48, 81], [21, 56], [28, 58], [42, 78]]; loss = 0.028408 low_pass_filter = 0.300
+Epoch 0: | | 6569/? [1:03:42<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 6570; scene = ['5e80b87bc5ef5c2c', 'd87754ed09b69593', 'fddcc097dac1d40e', '7bd2d9814f405529', '7a94507c801001b0', 'd584fda314ab11db', '892c09bee3c83352', 'f3a1d7eb82514692', '8200350e9ff7819c', 'cefa2809ea418e0a', '1fce2d5038f7fe28', 'fb23efe7b4ebf8de', 'c2d169718514f0a8', 'e3e252f0494ff061', 'f44a0546760ccdb6', '7637453da2bff547']; context = [[9, 37], [132, 161], [37, 71], [22, 54], [23, 59], [124, 157], [237, 266], [47, 77], [30, 61], [62, 91], [30, 66], [7, 35], [38, 74], [4, 34], [8, 36], [41, 70]]; loss = 0.031638 low_pass_filter = 0.300
+Epoch 0: | | 6579/? [1:03:47<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 6580; scene = ['1255213b2b061903', '9a7bac27466a58f3', '212a60ee1257a9ac', 'fa06053c189cf9bd', '99316806da246db6', '63f819120b8d8a92', '708a56966ca45d6a', '4ef492d655549076', '560c5720aa4920fd', '9917e6845c5c9f1b', '682946c1834cadb3', '89e29a4ab957f358', '639c91baba7b9b21', '9eab61e9851b04ba', '8a5989ad160852fb', '8053040c68f0f399']; context = [[16, 51], [2, 35], [102, 135], [9, 44], [5, 34], [14, 47], [16, 44], [51, 86], [243, 278], [19, 49], [90, 121], [2, 32], [90, 118], [19, 49], [48, 79], [5, 35]]; loss = 0.027000 low_pass_filter = 0.300
+Epoch 0: | | 6589/? [1:03:53<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 6590; scene = ['4fe12b24324c7c47', 'a695ce29a01dc0b8', 'b6f25dc2b753e432', '7e4fa483bbb17c5b', 'e79f7d5144234b88', 'aab1107e09a45e35', 'a9cd1ed7693da0f3', '012785080357adfd', '042a55e78c9a78bf', 'd5a9be470293e204', 'd1b677821157bbd7', '7645fe1e7ec6456d', 'ec4619c9a04ad474', 'c76d5c37993cd546', '14f431bca6f79d3b', '532eb0e37a511234']; context = [[187, 215], [10, 44], [17, 52], [77, 109], [10, 38], [7, 35], [81, 117], [66, 99], [132, 161], [35, 70], [12, 41], [114, 148], [86, 115], [50, 78], [25, 54], [17, 48]]; loss = 0.027152 low_pass_filter = 0.300
+Epoch 0: | | 6599/? [1:03:58<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 6600; scene = ['d89dddcd0f832366', 'c4e76e1c9deb42b6', '399c27b648b42f81', '234f8c7ac31ef3a9', 'e3cbe7ea76afe8fe', '54c069a69cdc9a5a', '82c4af6d697ddba5', '963389198f0d43c9', '3e67b481ef280294', 'd96447ccfd1daf81', 'db9a1ba4eab8b3c9', '246a0bdee01d12f1', '5816deaba41a899d', '4f07c7aeda6dfd54', '6dc6bdc8ea4b6034', '5ca47925cdd3c7ce']; context = [[82, 116], [211, 244], [92, 121], [136, 165], [17, 53], [21, 55], [45, 74], [34, 69], [17, 53], [121, 149], [30, 63], [10, 38], [6, 41], [76, 108], [156, 192], [152, 181]]; loss = 0.025673 low_pass_filter = 0.300
+Epoch 0: | | 6609/? [1:04:04<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 6610; scene = ['36d35f3147e02798', '259d9eed4743a039', 'd3057752d15cc3ed', 'b612b15137bd9550', '28b4e59156fd7191', 'a5b29ff192bc83b2', 'de20f8c92ca911f8', '9066f7f466ab23f7', '178873c219f7c2b6', '9acff909c8398b6b', '27616b52fb366cdc', '20a30b56b4d0c973', 'ad968558e4c4d63b', '93d6d21d8e5e53ea', 'fd92c868ebb1c008', '01cddbb85517cdc8']; context = [[165, 197], [76, 111], [136, 169], [38, 72], [43, 76], [34, 70], [10, 41], [13, 48], [117, 150], [9, 45], [83, 119], [16, 45], [20, 51], [4, 32], [13, 46], [2, 38]]; loss = 0.027476 low_pass_filter = 0.300
+Epoch 0: | | 6619/? [1:04:10<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 6620; scene = ['a73dbc25f2d906bb', 'e23318bb7072adba', '56e1dd517b505381', 'e6587e90692e3853', 'e3624802b50dec03', 'b903f35fbb538e4d', 'ca856333111218f5', '6e47af576b38cfa9', '4773f9287f61e737', 'd868f3283e0b4b5c', 'e294f1cd6bcdc9e5', '9cf4511625b44389', '94a58590c20a67a6', '49eec4f2aca0a781', 'edb67472914edb3e', '1c2e5f0ee4f0a04d']; context = [[9, 39], [157, 191], [11, 42], [101, 132], [31, 65], [161, 190], [117, 148], [27, 58], [43, 72], [3, 34], [53, 84], [31, 66], [69, 104], [91, 121], [24, 60], [18, 50]]; loss = 0.027421 low_pass_filter = 0.300
+Epoch 0: | | 6629/? [1:04:15<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 6630; scene = ['01a156f1f7828d08', 'e9ae04619bdeca8d', '0397db66e75e11e3', '69ec3d6b148a1b39', '828c3898047387d3', '26bcaa3454a97edc', 'c229ae59e2a819b9', 'fe0f03df1866f24f', '173b19f15ff9a34a', 'bf84e0f38a25ff6b', '939765172ffc74f9', 'dfa445fd1c795422', 'bd9691996bd5d929', 'ca030905abc41a54', 'b38c90b77ef3ad91', 'b84a5c1e7734f562']; context = [[90, 126], [51, 87], [4, 34], [55, 90], [9, 38], [84, 119], [9, 38], [6, 34], [122, 157], [183, 213], [84, 113], [81, 109], [24, 52], [87, 119], [16, 51], [77, 105]]; loss = 0.026914 low_pass_filter = 0.300
+Epoch 0: | | 6639/? [1:04:21<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 6640; scene = ['011f55dfab38099e', '6fa7c62ef1f2df71', '3231aca99e0a8889', '97c5d79bc0c119e7', '303910b1146da10a', 'a31eae8ce8a4dbfd', '02e2f89df1b5a8c9', '44907ce3af3f17e3', '44b88fd41e47df01', '89d86b956405d9d3', '891bccc742646bd1', '2717deca05abb89b', '791434f2b9cbdc39', '1647a773a10129d9', 'dfc2900955735006', '115a398f51307f6b']; context = [[1, 29], [31, 59], [17, 47], [131, 166], [45, 81], [22, 51], [1, 32], [4, 37], [170, 198], [0, 36], [2, 31], [18, 51], [0, 34], [10, 39], [60, 95], [97, 130]]; loss = 0.026304 low_pass_filter = 0.300
+Epoch 0: | | 6649/? [1:04:27<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 6650; scene = ['9e16686cff67cab1', '5d5fcf8a69870c95', 'ba61678ba772d051', '5bff580b11c1d3a4', 'd24ce8f07f8259b0', '08c8a1f3c9da33f6', 'b835141cb69d7442', '788f6579ab4badc4', 'af12b1fbffb8df8c', '7b4d0cb42e1b3197', '8ff9e75e25018b62', 'e910f82449c902f9', 'd8fe2d302732b434', '84e17c90adf82d3f', 'a859d007d39a68f3', '26423478e599c534']; context = [[4, 33], [48, 77], [138, 171], [58, 86], [5, 40], [44, 72], [13, 47], [11, 45], [41, 73], [36, 67], [172, 205], [241, 277], [2, 36], [38, 73], [23, 57], [74, 107]]; loss = 0.024382 low_pass_filter = 0.300
+Epoch 0: | | 6659/? [1:04:33<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 6660; scene = ['4f7381df99227904', '5d9068d775dc5831', '7600a735405a9ed4', 'b2288bf7003d5d4d', 'd3f720cb5f3a67a6', '209d65e786784b86', '97e0f30c6b35264b', '60d296908f43a97a', 'dcea7253ad4502ec', '18cd6ab71c2fbe6c', '5e22c9e85225ce9d', '51a1ab321c659ced', '39fde4cbf205e075', '9d7d3ab47fc3f5ca', '9b34d768bb3ff6c5', '8e511bd9c1d35a91']; context = [[27, 55], [25, 61], [26, 55], [75, 105], [93, 126], [34, 70], [72, 103], [3, 34], [23, 59], [58, 94], [119, 153], [4, 33], [21, 49], [6, 40], [137, 172], [80, 116]]; loss = 0.028707 low_pass_filter = 0.300
+Epoch 0: | | 6669/? [1:04:38<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 6670; scene = ['bf9f368eb8ec8cd6', 'e9b908cc0c604c48', 'a81a866ab3a3399b', '97d29bd86a6ef279', 'aa419c5bb667ac9d', 'b9c81998d729a211', 'f8498de420424276', '67adab670d503371', '6b69daf57ed94a08', '6f164beac14b54d6', '5cb68a057d09b157', 'f51c7c1d017851f7', '2ddce9853610d50f', 'c8539a201de22003', '218ad16a0a54cab4', '31ab8f79c82a3b17']; context = [[76, 107], [88, 118], [19, 51], [66, 99], [94, 125], [20, 51], [15, 47], [63, 96], [186, 214], [67, 100], [99, 127], [53, 87], [54, 82], [1, 29], [33, 64], [42, 70]]; loss = 0.030017 low_pass_filter = 0.300
+Epoch 0: | | 6679/? [1:04:44<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 6680; scene = ['e8ac1d56f76c2071', '4cb365b666eb29d3', '966391dedc9b04e1', '3cb297a2e436d852', '554d150cf9462431', 'b072428b6db26547', '023e9c9e3f381121', 'b21dab4d75b377e0', 'faf6c0d78caab665', '971b496fff5cb3b1', 'd70696962e8d49ca', '7e32519bb8c8a4f1', '6be432fd4ef65e77', 'a8946be78cc27901', 'fd37077f26b2bd87', 'd16e693b39fee4f8']; context = [[140, 174], [77, 113], [77, 112], [11, 41], [49, 77], [2, 37], [87, 118], [44, 76], [225, 254], [55, 90], [91, 127], [40, 71], [84, 114], [100, 131], [154, 183], [62, 98]]; loss = 0.030162 low_pass_filter = 0.300
+Epoch 0: | | 6689/? [1:04:49<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 6690; scene = ['9041346a076f83b1', '755d004e041d87d0', '4b2f1f91d54eee6d', 'fb80d729fac643d9', 'ac7a29000faca7bb', '79583a9c85264155', 'fb3b1f662e902d9c', '2f7966a5066dfece', 'cf32596390d11d7c', 'c9e03f6cb48161cb', '8bee39901b8fe0f1', '395cbad13a85e090', '5a7ce5ef5d08e4fb', '4897e736ad8f94f3', '01221cc8ac59f560', '093cd19c2092f76f']; context = [[48, 81], [38, 71], [35, 67], [1, 36], [40, 71], [82, 113], [45, 73], [11, 47], [77, 113], [83, 112], [73, 109], [97, 131], [56, 91], [13, 42], [83, 114], [183, 212]]; loss = 0.029728 low_pass_filter = 0.300
+Epoch 0: | | 6699/? [1:04:55<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 6700; scene = ['81b1cf9c807d6c46', '1340a3f9260ae1c0', '16513d114b068a1e', '64494ce8ea7f70aa', '2fd3ab94f4b959fe', '75b728c7db097374', '3658bf340ae1738d', 'a2811cc9b3a2b453', 'ed0da0b777821594', '7dd41fbfa1d8a243', 'f1eae9bf3eb4bbbf', 'e81941e5c1fe55cb', 'dcfd07d4a022b226', 'd9dd6e0b1550b1ee', 'c74969cf2d6052dc', 'eefdafedf732e5b0']; context = [[5, 40], [120, 150], [2, 30], [60, 90], [41, 76], [107, 141], [97, 132], [25, 56], [23, 52], [4, 38], [19, 54], [42, 72], [133, 163], [78, 114], [111, 146], [63, 92]]; loss = 0.024343 low_pass_filter = 0.300
+Epoch 0: | | 6709/? [1:05:01<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000,train step 6710; scene = ['b707f31c1bde13ec', '33e9961fed513e93', 'dd7eb3fbaa5f4f3d', '12c4de84fb2e9389', '46646c26665e3f89', '2403833c4c2ebe00', 'f1a0c44d75a58a05', '7c999c01839d3528', 'ee04aad516236ac5', 'be18017f4d4cf364', 'a5bcc915ecbc820e', '2d32c57a5f20c22d', '1b27411dddfd34d5', '831ee308d40b2fbf', '2b8d0be3084de62e', '59cb0041b86b8912']; context = [[2, 38], [54, 86], [95, 124], [138, 170], [46, 79], [73, 102], [3, 34], [16, 49], [17, 46], [129, 162], [34, 66], [99, 129], [25, 57], [40, 74], [28, 56], [48, 83]]; loss = 0.027964 low_pass_filter = 0.300
+Epoch 0: | | 6719/? [1:05:06<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 6720; scene = ['90686fbf5ca9bd0a', '2804817967c9ab8b', 'f1868b9a35ac85cb', '8096be2fbf236584', '954d57d0d07c04fe', '0e0ca1c8d817169e', '834e18c30dbe2cc5', '7878ff9d2f929bff', '37611e9bc362b1f9', '11da16bd945c4985', '3758b996400d2c1b', 'bc060d48a36d78e0', 'ea993320b24455cc', '5e2ffa0856f7732f', 'de9b8b8e08b9a045', 'cf3fa6c4bacc2e97']; context = [[37, 73], [56, 91], [0, 33], [0, 30], [68, 98], [137, 172], [11, 47], [7, 40], [1, 36], [11, 39], [3, 32], [10, 45], [57, 90], [34, 62], [8, 41], [20, 56]]; loss = 0.023915 low_pass_filter = 0.300
+Epoch 0: | | 6729/? [1:05:12<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 6730; scene = ['2dd2a1adc0c1d4cc', 'bfacba0a18500c13', '8b3765816a0cb218', '841c8115deb71c25', '63bd9bcdaac4b19f', 'b04ddf89db9147f7', '685f8dbbf5c8f207', 'dce3791efbb4453e', '94c24998ecc23097', 'f784e04c9e814dce', '106b750ca62bc0ef', '94f19a13fb2a5171', '774f9004411d149c', 'f0d2bd621012431f', '6cc87d3f3948183e', '9e01fa07e911197d']; context = [[113, 144], [26, 54], [14, 42], [60, 94], [172, 202], [14, 42], [15, 45], [43, 76], [5, 41], [9, 40], [0, 32], [98, 133], [30, 62], [14, 46], [66, 96], [56, 89]]; loss = 0.021973 low_pass_filter = 0.300
+Epoch 0: | | 6739/? [1:05:17<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 6740; scene = ['7b9e86414a13f2b4', '0e9fa8ac3375dc4e', '663b93fc3193d34a', '4ae2f7b21c9aa2a2', 'd3f4e707073c529e', '8e01007ac5b9a2d4', 'f1b5a6dcfedb390c', '6e46379a7ad5ea92', 'c51c7bc0c8151abb', '30635ca8f58d53fb', '783cc6843cfac78d', '5c7e81ed74cd0615', '64596f1845d89dc2', '4af9e23605ed2f5d', '711049f79f182de4', '5e28f56e00a41125']; context = [[82, 111], [6, 39], [20, 51], [182, 218], [53, 81], [181, 213], [23, 53], [72, 105], [41, 74], [24, 59], [80, 110], [7, 37], [236, 264], [3, 36], [144, 176], [52, 84]]; loss = 0.027540 low_pass_filter = 0.300
+Epoch 0: | | 6749/? [1:05:23<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000,train step 6750; scene = ['c12b4b8fce580e89', '004a40da569ee807', 'da2b6199a9135d43', '1844d01379136fde', '703860a4a2fc4649', '4b846a205819d8e5', '8c9eb97a7653d4f0', '06fbc8d45e60e49b', '87fa399fdd73af24', 'd3cd37f926d8a6ed', '32067753f8e8d4e0', '35b175d2b24bbb7b', '851c56423e13bfa1', '51871f23bb65dd5f', '96505316a4f6a36e', '680269475a3d39bd']; context = [[95, 126], [40, 74], [24, 54], [7, 36], [11, 47], [1, 29], [9, 40], [7, 36], [32, 64], [116, 148], [82, 112], [76, 110], [148, 182], [53, 87], [18, 47], [14, 47]]; loss = 0.027587 low_pass_filter = 0.300
+Epoch 0: | | 6759/? [1:05:29<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 6760; scene = ['0a867cc860e401c1', '4200ec0bb3b50364', '12c8176c5f4d7346', '6cb287ff59076f0e', '9c2edc6892073f83', '286dfd7bb4272913', '70516082a453975d', '22ac9959a46f52f6', '4dad6319d4caba1b', '399fe2852ab9fd58', 'aa6d444d58a5e7e3', 'f757d683875ba54a', '2a02d4281c5b97bb', '83f4d34bc2deafe1', '85f6a09d7c0ed82e', '65ac09e0c0c2c35f']; context = [[71, 103], [40, 69], [23, 54], [125, 161], [13, 41], [8, 44], [23, 56], [56, 89], [2, 32], [61, 92], [21, 53], [37, 73], [39, 70], [8, 38], [105, 134], [10, 40]]; loss = 0.024660 low_pass_filter = 0.300
+Epoch 0: | | 6769/? [1:05:34<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 6770; scene = ['c5cd9e05ad7cf071', 'fa53f1b36141b70e', '5a381d983f188dea', 'c338130533ffe9c6', '10fb078e6071ef83', '1b2a34dbcd2008c3', '06962ad8a4f32b92', 'e3d4e9a54bc5f67e', 'fcd5ce54c96bbdc4', '88757490a352159b', 'c6f9df8f7eed7728', '5fd54bb5819e9564', '9ff079a7d20b61af', 'efc03ccc68e50504', 'fd58f65ca879b900', 'ab1d4518292e91ea']; context = [[35, 66], [217, 253], [7, 39], [27, 61], [9, 45], [11, 40], [25, 59], [206, 238], [10, 39], [66, 100], [157, 188], [183, 215], [39, 71], [81, 115], [55, 86], [102, 135]]; loss = 0.023343 low_pass_filter = 0.300
+Epoch 0: | | 6779/? [1:05:40<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000,train step 6780; scene = ['9749a18e36b8b4ca', '00a87dd567cdc292', '977e456b8e36321a', '222acb29d1b3c2aa', '23ada50ed2964f18', 'c4ba30d763bede27', '6c9d79c745a5ddec', 'e93ef07a12e65021', '73b326a2356225fc', '0b34be2996de2167', 'bf1e6a67f6bf9b82', 'ebfd99428653bec9', '645468bec5948f05', 'a1e67b5c38a3c0c7', '33fee065c3e83dbb', 'aebba824d31656fe']; context = [[98, 126], [149, 184], [246, 277], [29, 65], [3, 33], [17, 45], [21, 57], [87, 117], [99, 130], [15, 49], [141, 171], [69, 101], [3, 31], [141, 174], [36, 67], [10, 40]]; loss = 0.027463 low_pass_filter = 0.300
+Epoch 0: | | 6789/? [1:05:45<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 6790; scene = ['556db71008eeda6e', '88af5684bdc239d0', '1f44e8ba6f9ec746', 'db4b14c9bc399d19', '6564e787f68e8472', 'a9ffa32973bd4581', 'e5f7a6ac3ae2f34d', '584493d7bc09ccb4', 'feac8b784fcd5592', 'bf716d89d4fa9e50', 'a690352549316d80', 'bea9a5616b6568be', 'b5962106567a3f6a', 'a8e322c05f5ee05f', 'ea8b2c80d239bcc1', 'd706f9af100f0c57']; context = [[32, 66], [46, 80], [214, 246], [22, 52], [19, 47], [40, 71], [54, 89], [108, 144], [0, 31], [69, 97], [97, 126], [57, 87], [18, 50], [30, 59], [23, 58], [22, 54]]; loss = 0.026314 low_pass_filter = 0.300
+Epoch 0: | | 6799/? [1:05:51<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 6800; scene = ['ec2e3374601803b6', 'e88d5253019ba9b1', '0b7b90f5257ba949', '8fbdd274e2aad712', '592c5f3839bd3b3c', '4a7cdb52e115a287', '19d96b6971317c11', '774aca02e8b8b2a9', '8003d7f1ce1ddcf1', '6a4f9df3e53abd9f', '0d9483dc76901c4a', '59baa163bc171083', '23f62714f8f083e3', 'f0cf1b2ba4f1fbae', '44622d3502746b3f', '225b13acb75305bd']; context = [[0, 33], [8, 43], [2, 38], [137, 168], [144, 177], [26, 62], [36, 65], [76, 106], [93, 124], [3, 34], [102, 134], [0, 29], [32, 60], [0, 29], [148, 177], [2, 31]]; loss = 0.027274 low_pass_filter = 0.300
+Epoch 0: | | 6809/? [1:05:57<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 6810; scene = ['7678c8df1a133c97', 'b831ee2e69f105bc', 'e09381fbc7d917df', 'ac53955bee2ad533', 'f122ea05abe66bf7', 'e364559c1d25e09d', '9ec6a602c5bbae52', 'dfdb88c1a5ca0d75', '1499200a3d82435f', 'cb305b0a8ddac4fd', '421498827f9e9e3c', '06fc18da65b07b30', '14e2ed89ae5008f6', 'dc7df91fbccf6e65', '60bfa053d499254f', '9994269c5a207df2']; context = [[1, 32], [203, 232], [19, 50], [3, 34], [7, 35], [40, 76], [14, 45], [194, 227], [0, 29], [65, 93], [205, 234], [223, 252], [85, 116], [44, 80], [205, 233], [70, 104]]; loss = 0.023075 low_pass_filter = 0.300
+Epoch 0: | | 6819/? [1:06:02<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000,train step 6820; scene = ['2e25e9e465061299', 'c640e04e1fb1f343', '97be57ad8c57e50e', '3d749bb4c9d572de', 'd6acf1a3ce5c4987', '38bca052a0bd63ea', 'b8b663fa868cf351', '906665c2d458dd5f', 'ffc8d0b26207836b', 'e29e594e3e97c9c6', '24460889a8c443ff', 'b3b4c7f9d5867f2c', 'c3304db266ab3450', 'd8f2630243a1b1f3', 'fa7396bfc2bc3827', 'fbc840da741ebf72']; context = [[39, 71], [7, 38], [171, 201], [30, 59], [93, 127], [39, 73], [33, 69], [58, 90], [87, 122], [34, 62], [27, 55], [28, 62], [114, 150], [17, 53], [71, 104], [19, 51]]; loss = 0.023685 low_pass_filter = 0.300
+Epoch 0: | | 6829/? [1:06:08<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 6830; scene = ['54f982f5c8b1115e', '932378f771303fbb', 'ac6761b9095c24f5', '2365b39d703e65f5', 'af520f62a535aa1c', '669ba2fa4da6a5fe', '31d5682b2f1ea580', '88125aa22fd8aab9', '23080c60697e15f6', '3fcbe0bac84583c3', '6634e1e36f6c5ee7', '6a4023f9a3212fdc', 'ce290e98b347b126', 'dfe34dee3ab76515', '54729a83bd8068c3', '6b1f86e9e65ba131']; context = [[36, 65], [42, 75], [4, 38], [49, 82], [54, 82], [73, 108], [19, 53], [59, 94], [57, 85], [38, 66], [0, 34], [147, 179], [16, 47], [3, 33], [74, 108], [38, 71]]; loss = 0.029331 low_pass_filter = 0.300
+Epoch 0: | | 6839/? [1:06:13<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 6840; scene = ['954740f1e0accd65', '36853991baf0f696', '2a10024761431c76', '26f5dd24331bae0d', 'dc988e289b069887', '36c6ba1b40a771c7', '23f13d65e748dc16', 'b29a314a531319f9', 'bc8eb67c9d7fb4f1', 'f07a8be5e54b332a', '55d8b80f7cc186ab', 'b9e587880452c81a', '07dc6a8ad1c2795b', 'e5a1230e691772f9', '9139e7dbcfc77277', '2df17fc3be490939']; context = [[221, 254], [8, 40], [1, 29], [79, 114], [21, 52], [7, 41], [114, 144], [180, 209], [51, 81], [64, 93], [39, 75], [54, 89], [235, 266], [120, 148], [209, 239], [14, 48]]; loss = 0.023691 low_pass_filter = 0.300
+Epoch 0: | | 6849/? [1:06:19<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 6850; scene = ['53a8bb87641bd35b', 'b077b634286dbbe9', '3522956c0f83534d', '3f62f46c54c21cf2', '1a20aac3a317d67e', '62560eba3ba6f77a', '0a3c5ae29bf2cb59', 'ed6c9a5913622c3d', '9beaef3924b260b5', '231964ce719fed4c', '4705db5f75ab548e', '41986a305a19ca1d', '593292727003667d', '5c872adf4f12de84', 'd72247691e33a958', '8fcf794ba892a383']; context = [[135, 171], [20, 50], [0, 36], [4, 36], [42, 74], [2, 37], [103, 133], [56, 89], [83, 113], [17, 50], [198, 229], [159, 187], [77, 112], [80, 114], [19, 52], [3, 33]]; loss = 0.027213 low_pass_filter = 0.300
+Epoch 0: | | 6859/? [1:06:25<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 6860; scene = ['357ad9c49b80724b', '793708890c361a00', 'd60f30aa087b87cb', 'e4e90e143157bcd4', '5c12d0e4b30e7d1f', 'e80dbf2f8aa076de', 'edc12d141059e496', '6f842ac896c325b6', 'b95e6cbb519ddddc', 'd7f009ec2ab543f3', '8f87ee764e31cf83', '0ccdaba69c14f332', 'fc0ba1bf5a6cbd74', 'd70696962e8d49ca', 'a8946be78cc27901', '6be432fd4ef65e77']; context = [[2, 31], [26, 56], [47, 79], [62, 94], [53, 89], [7, 42], [7, 37], [13, 42], [2, 38], [185, 217], [23, 57], [6, 41], [20, 49], [16, 44], [117, 145], [79, 111]]; loss = 0.029538 low_pass_filter = 0.300
+Epoch 0: | | 6869/? [1:06:30<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 6870; scene = ['ad0905e8a8dc08df', '1c71c8e9e6c71a6f', 'a8b1d904336c4a70', '81323576180ae2d0', '2e4ade10d31deb93', 'aedef21a13f39ebf', '037b77f7cc0565e4', '6107ebfec4cb10db', '744ef2c904ab063c', '9ae93c878c7dbe8a', 'e6461cee8a9474d5', '3b37f7f58ab83fc0', '5d986af113fbac56', '3c7144d9d955132c', 'fe8feaca8c0571aa', '10c430f0b55254a1']; context = [[6, 37], [1, 36], [96, 128], [13, 43], [4, 36], [33, 68], [23, 54], [9, 43], [93, 125], [51, 79], [36, 71], [46, 78], [84, 116], [16, 48], [5, 40], [7, 35]]; loss = 0.025668 low_pass_filter = 0.300
+Epoch 0: | | 6879/? [1:06:36<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 6880; scene = ['65ca4812c80ba806', 'bb1757b78d7c2c4c', '40655ef994aa4830', 'b4cb12731a693d63', 'ff1d2975de62c75c', 'aded09e472c481df', 'c27a58dab30fbcc2', '8987627b29eff8a0', '8f965746e016155f', '5f1eb519a6b1b975', '22e5318eb8d1a4e9', '00c14c53270e07a6', '51098eb8a77e3976', 'a464ead502832cec', 'f450b5eb36699b57', '7bb5cce3ca41718a']; context = [[3, 36], [7, 42], [69, 99], [10, 40], [209, 243], [21, 56], [24, 57], [65, 97], [98, 128], [50, 80], [92, 122], [92, 128], [4, 34], [88, 123], [174, 209], [12, 48]]; loss = 0.023710 low_pass_filter = 0.300
+Epoch 0: | | 6889/? [1:06:41<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 6890; scene = ['55bf44ae6e9fdee5', '317accb265343cee', '6df172462e2547f2', '1b778f72bbee1f27', '24cf93a2d2d5d464', '24f96b776969ec93', '73ecf847059621f6', '8dd73309b133b8bf', '203a5fd3a45ac4a7', '8bfe86b7ab24ae5a', '7f7a06bfb8de65e3', '83f9d8c6d307248a', 'd8bddbfe9eb1d93c', '302c98bb282bacf1', '004d2899ce6cfd7e', '55e0660cad6d7d5c']; context = [[42, 70], [81, 117], [155, 188], [93, 125], [73, 109], [6, 40], [92, 121], [64, 92], [60, 94], [12, 41], [2, 30], [13, 49], [0, 28], [108, 143], [140, 174], [32, 62]]; loss = 0.026880 low_pass_filter = 0.300
+Epoch 0: | | 6899/? [1:06:47<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 6900; scene = ['1710ca2ef5baa103', '7ad1956f99b8cf25', '0e82fcaf0ccb2ba5', '468a09c983950e4a', '8b6ef87f30a948f0', '5bddd89ef33f5bfe', '75e71d2212643158', '6545f7e52e14be0f', '18179ad32046b970', 'a28f053fd4211fbc', '2ddca670dbf7e68b', '483642b8e30a8860', 'b525fcb10bc9f521', '1126a0bb6917521f', 'a1990e1a1aca5454', 'a75b353e5ab44f07']; context = [[50, 84], [27, 56], [5, 41], [2, 31], [88, 117], [3, 34], [0, 29], [24, 53], [29, 57], [1, 36], [172, 202], [7, 43], [55, 83], [24, 59], [79, 110], [21, 53]]; loss = 0.023599 low_pass_filter = 0.300
+Epoch 0: | | 6909/? [1:06:52<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 6910; scene = ['4aa1f09836169bb7', 'a34e639157e4cb17', 'b5c4997bc9a4e960', '8ec097933a323178', 'aa8fe22d38d6e8a9', '74de5bd1bb850e22', '0b2938b25e166598', '436e6d7fb59aa0f3', '77c48da8f803ebce', '28b23bd8cc4b5cc9', 'b3698fba681b1429', '502b31ec4023c337', 'c3d7c6b0a2f4961d', '0e53f99fe63ee8f2', '7c66260a2a16b5e0', '24a3779576222a94']; context = [[87, 119], [12, 43], [67, 99], [7, 39], [156, 192], [54, 85], [93, 125], [130, 164], [52, 86], [61, 90], [31, 61], [17, 52], [98, 127], [17, 50], [30, 64], [6, 41]]; loss = 0.023796 low_pass_filter = 0.300
+Epoch 0: | | 6919/? [1:06:58<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 6920; scene = ['067c03a150a6535d', '8ee32af7b707a377', '41eca61ee7abdbf1', 'b8709511255b1c76', '11f58bb45f6b246a', '9fc9a908e4d78f87', '1f0a743ea04c1022', 'c3fa95ae16106a95', 'e5cd29987417f050', '9c4ed2cd8353b8c7', '334683227f0e3f59', 'a64864550f5058bf', 'dca0822a879ff72b', '20fa097f9ce07b6b', '9fbcf3237d43c93b', 'ca0ca4bb51f7cae3']; context = [[62, 90], [26, 62], [92, 123], [5, 41], [8, 39], [2, 33], [120, 148], [226, 258], [39, 67], [63, 94], [24, 55], [103, 134], [65, 99], [46, 79], [2, 38], [16, 51]]; loss = 0.023348 low_pass_filter = 0.300
+Epoch 0: | | 6929/? [1:07:04<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 6930; scene = ['eb6d7b709dc9794e', '45e76a3def23beb6', 'a0026221d0003929', '5415c8d98c424b49', '29c057a0d6e904c8', 'c9b36cedec06f5a1', 'e70944f4a038cda4', '649edae96edc9648', 'cc3d122c0c441ebe', '6ab1031780e4309f', '03c8963443089760', '5b0c98e4aa65be15', '49e2ef92a15efa9a', 'b8411949437ceb89', 'af2fc9909c216524', '13e7befde4e8e3c7']; context = [[95, 125], [32, 61], [14, 42], [0, 28], [18, 48], [13, 45], [32, 60], [103, 135], [34, 63], [16, 52], [52, 81], [52, 86], [29, 60], [21, 50], [123, 156], [7, 37]]; loss = 0.025953 low_pass_filter = 0.300
+Epoch 0: | | 6939/? [1:07:10<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 6940; scene = ['232abb354c423e81', '177e0dd49919981d', '027f149944096008', '1b4d4a89d8cc8f17', 'cbb08aa58b52b464', '207e792a23761fa4', 'a21e31b0fe500357', 'fa002cd2e4b9f134', 'caed302f388b799f', '930261cf1953eb8f', '8cd8d0627dd7f3d7', '50aaf4f53bd06c70', '42a0601c938f1b53', '683b9e113d27af52', '9339d17d1edd6951', '660d946108ce4b00']; context = [[13, 45], [24, 56], [6, 36], [52, 86], [123, 159], [18, 46], [28, 61], [48, 80], [49, 85], [2, 37], [192, 227], [96, 127], [56, 87], [16, 45], [25, 53], [1, 34]]; loss = 0.028023 low_pass_filter = 0.300
+Epoch 0: | | 6949/? [1:07:16<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 6950; scene = ['cb8eb864780ceaf4', '59809646300dd7d7', 'bf49e8465dea081e', 'a18aa1680704fb78', '0c4ad0078fadf621', '2fa2b13587eec9ca', '1184ad5a69f1c35d', '43b144cbf93069d0', '1c5467a532cbb486', '59da33bb38e09821', '44d310a7a2f4febf', 'dfb4189449c6f59e', 'dcb67053bcbf59ba', '47557c00e771c40f', '65b8dec0c3660ba1', '060036901ce49897']; context = [[137, 172], [21, 57], [2, 37], [47, 83], [60, 93], [36, 65], [83, 117], [5, 38], [15, 45], [29, 61], [21, 53], [15, 43], [13, 43], [24, 56], [4, 39], [173, 203]]; loss = 0.026206 low_pass_filter = 0.300
+Epoch 0: | | 6959/? [1:07:21<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 6960; scene = ['aab945aab8202b66', '2fb5b4aa03145fe7', 'b43b3e93368302ba', 'fd1fe9c1db9269d8', '37d7c6279a740c7d', 'd28b9fcb544a45e7', '3c6bebf60be1bac6', 'df0a4657c87f17a1', '016c6b963bd36d18', 'dc2a1e5fb50eccf7', '32ad7c3746d46b89', '18ce3419dd7cdf4b', 'f714c6902cd954db', 'a168b9cb83649c5d', '9a05043c23516494', 'f3126c981b4e4874']; context = [[138, 168], [23, 53], [23, 56], [21, 58], [147, 179], [236, 273], [115, 145], [0, 28], [0, 36], [119, 148], [14, 43], [4, 39], [37, 65], [238, 274], [5, 36], [75, 104]]; loss = 0.025470 low_pass_filter = 0.300
+Epoch 0: | | 6969/? [1:07:27<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000,train step 6970; scene = ['313c2ce83a17b22d', 'd6fac69b6a6bd958', '20d8f725ca43a225', '30400d1809189f16', '1f214117250f089a', '4a97b9d7a1594081', '33ffb0b94cec7ce7', 'cbd4e58711dded8c', '85c6ed769781a2c7', 'be52d7017ff4e5e7', 'eb11462985fca758', '8da6063bebe48d28', 'f84079faa436c691', '512f1df8266be984', 'faa760d7d2c034ec', 'd8580e9d72ac981f']; context = [[12, 42], [7, 44], [56, 88], [10, 39], [167, 200], [4, 36], [1, 31], [12, 49], [13, 47], [12, 49], [67, 99], [1, 30], [15, 43], [20, 52], [65, 97], [151, 183]]; loss = 0.026343 low_pass_filter = 0.300
+Epoch 0: | | 6979/? [1:07:32<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.000,train step 6980; scene = ['2cd702dc4fdef4a4', 'de561e02e852ac64', '542540d922d01209', '5f59342af67d8587', 'ab7f018f21bef342', '642cf78c4fa0ef61', 'cd83136b559517cf', 'cf4a0213f57bed85', '5e6b6cf7eb54c960', '211955799aea0b11', '058fde22adb2bd69', 'd123eeb2049f770d', '648d59fb0909b01e', '19283c18e8d4c093', '352405a498056a04', '33cddf881b54866e']; context = [[8, 43], [192, 227], [29, 63], [1, 30], [10, 47], [44, 80], [26, 57], [33, 63], [75, 107], [3, 39], [125, 156], [61, 96], [36, 70], [54, 88], [76, 112], [177, 210]]; loss = 0.025746 low_pass_filter = 0.300
+Epoch 0: | | 6989/? [1:07:38<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 6990; scene = ['9a897c3f2fc1835e', '0ef7876ae2f8698c', '3cb9d9c936c652d9', '2e1d57bf531fd792', 'ae5b049c5c79102c', 'c5bfb5bda243dc69', '8b513ead658d6753', '590bb98dea23e2d5', 'a8edd71cc4469588', '4a0cdf7ef67e9987', '1896e6de7dc0f4db', '9baa7e80e0e09d0e', '1a53540061b38408', 'bee339cc45bb274a', '3230ae893262c016', 'decf37d8f8750882']; context = [[112, 145], [26, 59], [19, 48], [185, 214], [120, 155], [11, 42], [123, 159], [20, 51], [44, 75], [120, 154], [9, 37], [1, 38], [26, 54], [107, 137], [11, 40], [8, 36]]; loss = 0.027076 low_pass_filter = 0.300
+Epoch 0: | | 6999/? [1:07:43<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 7000; scene = ['267afd60f3bff4a2', 'da6940908fb4f04a', '207a22540803657c', '1517c447249b01a2', '3ad953e015e337ae', '40f6efed3d5db3fe', '10e47d52f346c322', '048786d814719880', 'affd8529a83e2cf7', 'cc503e1bc31b898b', 'aa61ed9a137626f4', 'e0fde8fd4169d858', 'f6d350c0bbdd1a3c', '05e09ff1c9228208', 'bb38e006ba4dfe71', '99f92784e60cc38f']; context = [[10, 47], [2, 30], [16, 50], [13, 44], [3, 37], [1, 35], [19, 56], [15, 49], [108, 137], [76, 112], [0, 32], [89, 119], [7, 43], [5, 40], [22, 54], [33, 62]]; loss = 0.028532 low_pass_filter = 0.300
+Epoch 0: | | 7000/? [1:07:44<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,validation step 7000; scene = ['4e23a41c18383f74']; context = [[0, 29]]
+Epoch 0: | | 7009/? [1:07:50<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 7010; scene = ['ccc8bc2c0a1afe2b', 'c1cbcf2db1f8691b', 'c8cc70f1e96adecb', 'aa15562d0b9fc205', 'eeb7dada070820d3', '511d24d81e925e48', 'f4fce4a624da37d9', '3921f3d86b2cacf0', '01d5a6ebd573b4ae', '1b783d0063d6aba3', '8ef3803dd3c43c10', '1b749d9b60927a96', 'f478d886410b020d', 'b1d713a2958063db', 'f893871b27cd3338', 'e11dd59f0958473f']; context = [[28, 57], [70, 100], [155, 185], [94, 125], [3, 34], [230, 263], [21, 58], [47, 83], [30, 63], [25, 54], [150, 178], [43, 71], [22, 53], [5, 39], [137, 167], [28, 62]]; loss = 0.026887 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 7019/? [1:07:56<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 7020; scene = ['59ae8e2d2504d760', '83d4b54aeee30945', '2b58d1bbfac7511a', '0069fbbde9f77bf8', '29554b41586a7db6', '48cebddab872c439', 'cc061ca8d139f499', '4858dc374c4fca93', 'cc80de7991d73ab0', '2eb02801dcb49de6', '900c3009657ef7c6', 'e546c92a68e5db99', '3b8d4d62c3923699', 'de57e75b0134c705', 'e689622dfff0a9f3', '5fe78400468bb910']; context = [[4, 41], [50, 87], [10, 42], [72, 104], [127, 156], [65, 97], [45, 80], [9, 39], [32, 68], [135, 169], [18, 47], [119, 148], [121, 158], [154, 182], [43, 78], [9, 39]]; loss = 0.032297 low_pass_filter = 0.300
+Epoch 0: | | 7029/? [1:08:01<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 7030; scene = ['80ed38d0a46c74df', '1c7fd25c56d97b41', 'f9ea5bd2a0243bd2', '8cd4f583ad67b0d9', 'eef710e59b6645e0', '06bb3e6123bee4e7', 'f7adcb2981b56215', '276c19248173dd64', '4777dc29a1d20c7f', 'f7449fd9c81a3551', 'f98f1a15850aaed9', 'c840e7ad87fcf5d6', 'ec570f8328cd4104', '1f08a54b3d9787f9', '487e1751e169b2fe', '598f5f9c57bceafb']; context = [[208, 243], [3, 35], [41, 78], [99, 133], [38, 68], [191, 223], [40, 73], [20, 53], [218, 251], [3, 32], [14, 46], [127, 162], [137, 171], [74, 109], [42, 74], [55, 84]]; loss = 0.025777 low_pass_filter = 0.300
+Epoch 0: | | 7039/? [1:08:07<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 7040; scene = ['c9154135faca16c1', '2e441fa2f9846685', '80e9bca97676a7ed', 'ea39ad8b69cc5787', 'a8e9ca9fab2a02e5', '47e15ca04ec95d65', 'ae58510a79871955', '9e16e2db38feb337', '125e043ed828047e', '416a07aebbf6bde0', 'e3b8576a277f8752', '90181a8ba6688854', 'd766eac515f8c9df', '3d163eea20f886c3', '82047a161180382a', '9237d0a19afbabcd']; context = [[31, 63], [56, 91], [0, 34], [68, 104], [148, 179], [132, 162], [236, 270], [59, 94], [135, 172], [0, 35], [61, 91], [6, 34], [35, 70], [147, 180], [13, 44], [11, 41]]; loss = 0.024114 low_pass_filter = 0.300
+Epoch 0: | | 7049/? [1:08:13<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 7050; scene = ['1972a0e165cd9408', '2409de44a70e9e41', 'f5e33c2b2a7e9ba3', '5038408e0a5ed26d', 'a05abd165e11ef8b', 'e2dddc85ca109243', '9a8f7427a9e8c9c7', 'e575b075dd0ff624', 'f7c2f06c4ad6d7d6', '0efe197d25725842', 'c540fde60000698b', '37a687e49f5a79c9', '289a0ef9678c7c70', '7ef8b861dca2e6b4', '5507d4e82ddb2357', '056d2ba0e6fd8999']; context = [[0, 33], [5, 39], [51, 84], [114, 144], [18, 52], [18, 48], [185, 221], [43, 80], [117, 147], [33, 70], [102, 131], [6, 36], [238, 272], [45, 79], [9, 46], [100, 137]]; loss = 0.029697 low_pass_filter = 0.300
+Epoch 0: | | 7059/? [1:08:18<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 7060; scene = ['090b3b57c205b598', 'b5c4997bc9a4e960', '320239f721b4f25e', '4aa1f09836169bb7', '7e286d8ce39e0992', '0b2938b25e166598', '74de5bd1bb850e22', '28e70b1812346b1a', '56330f4fd90f9961', '57dc85446fc5e73e', 'a318efa4108b5cfb', '92b172ef32af49ee', '6587793d3d37d760', '81ca6bc8c809f255', '8d2763caa6b3fb11', '070de38b8e08aa51']; context = [[3, 31], [10, 45], [22, 56], [3, 34], [48, 83], [125, 161], [25, 54], [18, 49], [12, 40], [38, 68], [83, 115], [150, 181], [35, 70], [74, 110], [36, 70], [50, 85]]; loss = 0.022058 low_pass_filter = 0.300
+Epoch 0: | | 7069/? [1:08:24<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 7070; scene = ['cffffa4c0548a72d', 'a5a8e6a3d35a22c8', '8e3dfce25f2d216a', 'fbc3668b9e73950a', 'df662bb3e944a8db', 'eb07f2be65cd3ef9', '51a5009f56cb9674', '144913b1e5d43257', 'd8fc4c664a4adc05', 'a99b619863a4760c', '3e4fcb14d2d9d2eb', '19157bb6d9d87bb1', '7d0e0b6733c4c54f', '8d303400f56c8600', '4c4199f1af91eca1', 'f09b2a3782ff7908']; context = [[110, 139], [44, 77], [197, 231], [39, 67], [8, 45], [8, 44], [45, 73], [137, 173], [119, 151], [37, 68], [3, 36], [37, 66], [15, 45], [39, 67], [29, 58], [114, 147]]; loss = 0.024821 low_pass_filter = 0.300
+Epoch 0: | | 7079/? [1:08:29<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 7080; scene = ['68bc95bade5e1353', '539fcc87120692e8', '06ac0a1a9fccaac8', '65759841f5b030c0', 'a1a940abbfd514ca', '704ffc6f1e9e213e', '29a4cd3335fc840e', '25fdde22389cab16', '2e8d7c7897b54d07', '06e84efaec258266', '697e5db37b8f4789', '27e25582bc09a0de', '7e976bc0f1d6a254', 'a3c9ffcea941f481', 'c51d0c23240a5ad8', 'c26c2e3257c2d464']; context = [[33, 70], [96, 133], [66, 98], [17, 46], [112, 145], [16, 52], [55, 92], [66, 96], [60, 96], [87, 119], [40, 69], [46, 81], [130, 165], [102, 139], [182, 211], [113, 147]]; loss = 0.032371 low_pass_filter = 0.300
+Epoch 0: | | 7089/? [1:08:35<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 7090; scene = ['5273c5cf3687d3e5', '0244c761444c4c43', 'c8d3af2c34cb9550', '82d26f74f86c38e2', '57ddaa846660d93e', '6bed54d7ef0b89d8', 'd5dc285dfb49017c', '50119310fe544bc1', '826340ab765319e3', 'c8fb4f76ee763d18', 'a976734f8647a289', 'f8348bc0b56557d6', '511ec608e4012db6', 'd7adef0853c541b7', '48affbd55a6a99d0', '4f81fe7e11e4acec']; context = [[26, 58], [5, 35], [39, 75], [128, 163], [42, 78], [26, 62], [71, 105], [33, 69], [8, 42], [98, 131], [50, 83], [0, 28], [2, 32], [202, 238], [20, 56], [5, 37]]; loss = 0.025575 low_pass_filter = 0.300
+Epoch 0: | | 7099/? [1:08:41<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 7100; scene = ['7cc92d7a16d7e677', '2ef54984d277464f', '69a54df0786fadd2', '1362f40738546699', '6f816a7bd8b4d022', '6a78abe9196beccd', 'eb1d14055e828c41', '8f36594b2a863083', 'f14da18c7df0a2f9', 'f7162df69d7f02d6', '5299e1d8459614a0', 'cdcdc97ba9dfaddf', '83c4c9fb7e651990', '85719fc0e88eacae', '56d7b41096c4a0c4', '3e6d1f9e11e3dc9e']; context = [[1, 35], [62, 93], [11, 42], [34, 65], [1, 37], [61, 91], [47, 83], [154, 191], [133, 162], [127, 164], [33, 66], [20, 55], [26, 62], [43, 79], [31, 63], [14, 49]]; loss = 0.024060 low_pass_filter = 0.300
+Epoch 0: | | 7109/? [1:08:46<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 7110; scene = ['51d0ae0aebbd9af1', '00b52b21e0d54a42', 'a0481c0069aac78e', 'fdd0f62113d4f4ad', '31d2bac3cf84f232', '381fe9c18a25d741', 'd187bead2c4cc455', '6cce9c57b5aa5336', 'fce1137a35c75426', '49b292bd243d56ac', '1eba1805fa0eba9b', '9ab6f5a4a25d8e1e', '49f2a6f344b193ec', '67f8815d24b5195c', '701bbabf79a42624', 'c9077b5a9e2919c9']; context = [[65, 96], [52, 85], [84, 116], [16, 48], [20, 51], [123, 159], [20, 49], [12, 43], [54, 84], [12, 49], [18, 47], [35, 65], [20, 56], [62, 90], [33, 61], [17, 54]]; loss = 0.026263 low_pass_filter = 0.300
+Epoch 0: | | 7119/? [1:08:52<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 7120; scene = ['9733a5e8b87112f8', '5e66f54d9b99573b', 'c1c0bf21704f2537', '714d84e0be7d7dfb', '5bef2ef0dcfab16b', '2a79a8bd4edfdbeb', '0532eb974677bbc4', '15ef091ff5e65fa0', '38b7bb60dcdd795e', 'c08cb8bf8e5c5f16', 'f83023d1697407da', 'cd133ed3edf87e7f', '721220c7c8bdbecc', 'ef43009a9fda5f70', '8154350ee9bed77c', '2a6a97f480e33a22']; context = [[60, 95], [38, 67], [53, 84], [143, 180], [48, 83], [27, 58], [40, 75], [211, 246], [8, 45], [8, 39], [26, 56], [107, 140], [3, 33], [189, 219], [9, 40], [60, 97]]; loss = 0.027910 low_pass_filter = 0.300
+Epoch 0: | | 7129/? [1:08:57<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000,train step 7130; scene = ['0c078986e514e489', 'bfa43fe391fa2d46', '243a2a73f63d8030', '174885a022d76f49', '61181f74c27e63f9', '7057134a8223acb2', '6f22d394be3ac612', 'd7f47882099f78d9', '7eaacbc33c12c929', '81d848e976090ef9', '0ba72677f1ca28b7', 'a2bb6c32f99a15ca', '9d33bdd88ce8ec85', 'd3bd7c9dac07234e', '2486fbf81f40c372', '2876315f35920644']; context = [[12, 42], [101, 138], [40, 73], [18, 48], [55, 85], [4, 33], [6, 39], [20, 57], [65, 93], [4, 34], [4, 40], [24, 55], [53, 82], [25, 56], [59, 90], [22, 57]]; loss = 0.026099 low_pass_filter = 0.300
+Epoch 0: | | 7139/? [1:09:03<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 7140; scene = ['c037d143a8e0ccbd', '9985153755b905cd', '20e9ed1c2504af2d', 'f3c47a7e22af9c91', '962084e11146bb55', '66e03e0c45197a24', '13a12740c5d84057', '428af7a35d38dfdb', 'a55a64e116b5619a', '34857ba0aee5fcc4', 'caca9c97d32372fe', '1134a76f064459d4', '44e1b5d813809be0', '4bef29cc7955bb9a', '27440f6abe018a1e', 'a341f339c80467f7']; context = [[57, 87], [209, 237], [43, 78], [5, 38], [26, 61], [35, 63], [7, 42], [7, 39], [99, 132], [146, 174], [118, 155], [117, 145], [31, 67], [75, 104], [53, 83], [23, 54]]; loss = 0.023965 low_pass_filter = 0.300
+Epoch 0: | | 7149/? [1:09:09<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 7150; scene = ['a142901b8a2421ed', '6a06b29373391c2a', 'e228a6735eb00c28', '5376bb67b77e8b59', '963b4755148b46f0', 'af273a69275eafe8', '26f28a50f0267b3e', 'e8e63428804a5980', 'df4cccc8b0781eb4', 'e34b20228349d7d3', '6f87ded85440c7ff', '5557b9f1f838dfb4', '51cf388a4d04e4e3', 'd113b8357fa64b66', '31bd6ed47b560fb2', '8c4e4bca9b1d35e4']; context = [[80, 111], [40, 75], [13, 48], [5, 40], [93, 123], [164, 196], [210, 240], [83, 115], [45, 75], [19, 54], [4, 40], [64, 95], [52, 86], [9, 40], [15, 50], [40, 68]]; loss = 0.025693 low_pass_filter = 0.300
+Epoch 0: | | 7159/? [1:09:14<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 7160; scene = ['839a7dc465babb6a', '0b758b68786dc733', '6c4a195e1fa3b28a', '5bb0ee664d02e9e5', '7f3ca984fdf8f7cb', '8f30c1582145c9f3', '6df050e937ac9f8d', '034301dccb94adc1', '62119effa34e8c61', 'c30cf086d597aba5', '6bd188e48caeee1c', '55884a763d483c32', '66bdfbee7e6100a6', '13e1d5e8a0e6b2bd', '964d84c15eadd21a', '1ad6f571781d4e71']; context = [[51, 87], [44, 74], [49, 80], [8, 44], [31, 59], [21, 49], [68, 102], [32, 67], [10, 47], [22, 57], [62, 96], [18, 46], [1, 31], [107, 138], [74, 104], [17, 52]]; loss = 0.022999 low_pass_filter = 0.300
+Epoch 0: | | 7169/? [1:09:20<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000,train step 7170; scene = ['878ed649fe75b1e5', '50e4ebe35515bd19', '7f81ce718f7eae1a', '223d9839a448d851', '1a464079ddbe1d59', 'b662f354bb50dc53', 'c1992bb8b28bcc01', 'cc1515a91bc7b9f6', '2b6f17c36d275612', 'ac922386da39b302', '64b30e1b3108384e', 'bbf5bf0f5a0f9d48', '92c158518368b4ef', '5f1bd21bfc711755', 'e58d87c7ddb7fec5', 'e7b9cfc04402e96c']; context = [[11, 47], [81, 118], [140, 173], [103, 134], [224, 253], [12, 49], [38, 73], [109, 139], [6, 37], [4, 36], [168, 205], [2, 33], [0, 33], [40, 77], [11, 39], [113, 142]]; loss = 0.026437 low_pass_filter = 0.300
+Epoch 0: | | 7179/? [1:09:26<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 7180; scene = ['51817eaa8265bc7f', '8055c456d35e5747', '836f0c4495d07958', 'd0b938803065b0f7', 'f5f225a43fcecd0d', 'da1d055a8426b8d8', 'bd109e7ed7c027a0', 'e7e9872d59ae41a9', '6ea3f9ffb32ea267', 'fd772f6ff7936a2a', 'f5c8406a588131d5', 'f179064b7a845fb1', '446933c7668779a4', 'de51b5fb44137a23', '94e15ba487af3b15', 'e4ad4dde56a72877']; context = [[5, 36], [12, 43], [92, 123], [5, 41], [230, 259], [35, 65], [6, 39], [86, 120], [181, 214], [58, 88], [59, 87], [83, 111], [0, 35], [30, 58], [17, 46], [73, 103]]; loss = 0.023205 low_pass_filter = 0.300
+Epoch 0: | | 7189/? [1:09:31<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 7190; scene = ['f6f74463bbcbf1c8', '625ccbb00fdb4042', '7eeada5c41414d7a', 'f75b1a55b42e01fc', '94451eaf549042e4', '738889f8821da74e', 'fc71136d1f759ede', '144796f0d553a90b', 'a5d5924c33cb5eec', 'b100ffbc2f9d79a7', '2026ccc2dc2be8fa', '7e423d9bae58a197', '695e66b2294400dd', 'afbec7cd6de2b2a8', '1e6a2c93047453fe', 'afde92ddb60d24e6']; context = [[20, 49], [211, 240], [41, 76], [23, 60], [85, 118], [27, 64], [0, 30], [36, 71], [14, 46], [38, 73], [43, 74], [4, 36], [7, 36], [6, 40], [107, 143], [172, 209]]; loss = 0.024311 low_pass_filter = 0.300
+Epoch 0: | | 7199/? [1:09:37<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 7200; scene = ['1a2ea561c9c8f419', '31ba0028326b8b17', '1a7acfecead6ac94', 'bb3e352ee6959d9d', '202804795c8dc7d9', 'e87e2f59ab625c36', '6ca7f051fa8000be', '55595976706bb7a8', 'a212154cd39361ca', '5195d6199756de8b', 'aa1de687b9ca8b3a', 'abe6335b937ba7c6', '0e895dab0c10b89d', '98d47fe7993b4d5f', 'c3f39ae4b7f1e3f0', '74e40718f0ad3efd']; context = [[1, 38], [157, 188], [21, 53], [102, 132], [102, 133], [97, 126], [136, 168], [37, 70], [2, 31], [52, 89], [36, 68], [73, 107], [41, 74], [53, 86], [10, 43], [9, 44]]; loss = 0.022218 low_pass_filter = 0.300
+Epoch 0: | | 7209/? [1:09:42<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 7210; scene = ['022c8b3bf09953d5', 'd54be14960a96623', '1df4c50a6d867f43', 'ca1852b4ee1cff4f', '12c58909fa039296', 'cffb80fc6fccc723', 'b35cbce181002a38', 'a01b5396794511af', '1afd9e26d32bfdf6', '786d6175ca31c7f6', '51cb17f1485b2313', 'fa807d5219d42f63', '4df0eabb02d177d7', '67db02d7bf813f5b', '0d8a60e8ab6f3034', 'ce68b2802d6819ee']; context = [[35, 64], [60, 88], [4, 39], [234, 266], [62, 94], [27, 64], [75, 108], [57, 86], [184, 214], [0, 37], [68, 102], [5, 36], [13, 45], [239, 269], [15, 47], [14, 42]]; loss = 0.028429 low_pass_filter = 0.300
+Epoch 0: | | 7219/? [1:09:48<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 7220; scene = ['1b4d5f002f5af86c', 'b74cd30ef141705d', 'd62c060a62da110e', 'ffda743d376dcde8', 'c81095ff7cc7034b', 'ff1a64808d8981a4', '9ca80f3ebf759df0', 'd81116dc8c96547e', 'f24b2611ba45a2cf', '207d8089dd36e74c', '031aba088281e379', 'b692786e5dea667e', 'a791c72122d141c3', '3a46462f9ca7ac68', '76d44d2cd2b7afc6', '56deb9a5eb1e5433']; context = [[4, 34], [21, 54], [8, 39], [31, 62], [27, 59], [7, 39], [23, 58], [7, 40], [74, 103], [156, 187], [79, 115], [7, 37], [78, 108], [123, 160], [12, 46], [14, 48]]; loss = 0.028378 low_pass_filter = 0.300
+Epoch 0: | | 7229/? [1:09:54<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000,train step 7230; scene = ['b6e4090f22734038', '62072e1ce4a3a351', '50ef002b71b5df22', '388ea1f6d5ffaa8d', '18c4e5e1991dd535', '713dbc9bb40ccc99', 'b8edc44674166d18', '3f9d1fd2875c86e0', 'ffcddd641eb66a0b', '0aa8245eeefc11a3', 'c304ac5f3fe47b0a', 'a4d9a709d346c686', 'f70b121ccf3f3ed6', 'ac451d6a344dabd9', 'e3937eacadfb024a', 'c69af9c3bab53abd']; context = [[15, 47], [51, 84], [10, 43], [137, 171], [69, 106], [19, 56], [16, 50], [1, 29], [5, 41], [154, 184], [32, 62], [48, 82], [231, 261], [184, 217], [31, 64], [76, 105]]; loss = 0.021826 low_pass_filter = 0.300
+Epoch 0: | | 7239/? [1:09:59<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 7240; scene = ['7fbc6cf6fe65b7ff', 'caf78660bbc1dbf2', 'ca543cd72517425f', '7c4d7ed47ae232ed', 'd9afbf73118bb8a1', '9777aa81d5ddf05d', '8efec6de00a7d511', '2244f7dd2c91da2c', '06fccc7d660b7c54', 'ca301930c8f2ed36', '97a073a926498924', '2c5af6f6f4959160', '8d319176f3979cbc', '18eb222a2b5631c9', 'e3dad71b234ee049', 'bb35407c3c93e0b4']; context = [[169, 203], [2, 38], [26, 56], [138, 175], [28, 62], [0, 33], [76, 107], [222, 259], [0, 29], [56, 92], [4, 39], [2, 37], [4, 32], [189, 220], [35, 70], [153, 188]]; loss = 0.027932 low_pass_filter = 0.300
+Epoch 0: | | 7249/? [1:10:05<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 7250; scene = ['c0a2a9fe9e12ea72', 'b54617c7d3c0c3fb', '270c1019e4348197', 'f3dd12e8d9dd4c20', '3f6666062c86b73a', '91cc4e583ef263cd', 'df29eae05ee5e69f', '2f4a9af473259598', 'eb0b3196ffb44444', '263171a60cd3c274', '8e6dd682ca06c962', '2e6b110a34be80f6', 'db21d3ab55c463d4', '9af60e3183731e2b', 'e8bacc515eee9906', '7aa0b1804b14144b']; context = [[47, 81], [111, 144], [207, 241], [31, 68], [57, 93], [225, 255], [102, 135], [22, 51], [3, 31], [154, 186], [43, 73], [31, 64], [64, 99], [66, 98], [29, 66], [31, 65]]; loss = 0.027496 low_pass_filter = 0.300
+Epoch 0: | | 7259/? [1:10:10<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000,train step 7260; scene = ['088d4118cbe16c97', '5f5bb12d476cdb64', '8dae5ef8abae8da8', '37319c0d69f431a8', '6cbacc1a289ed624', 'b96a9c7f51d619cc', 'ae267c0eaad7d286', '8099a24d802a278d', 'f92fc931ecf41163', '3f804a27d3921230', 'daaf2bb9684ce136', '5eff6d0d581c8fb4', '4b629acfe9213272', 'c7533d969421eabf', '90d1c056ef8e468c', '88d76ec515558fcd']; context = [[77, 113], [92, 120], [92, 121], [15, 52], [186, 220], [67, 103], [91, 128], [61, 98], [22, 56], [58, 90], [235, 270], [96, 133], [31, 66], [51, 84], [14, 51], [19, 47]]; loss = 0.028878 low_pass_filter = 0.300
+Epoch 0: | | 7269/? [1:10:16<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 7270; scene = ['b4ae1b697a1ac6da', 'eca27ee3d2248402', '13aa603a3003bf77', '28020e268c1ba216', '3fc3f1b211ad15db', '51f0d505d12ea467', '03c1440995e0347f', '3cca5734c7ee3f5a', '8f733bc506395644', '70e6dc2e07efc73a', '2b38f48e832e8d20', 'a07336fb3796ce84', 'ec16d4512645786d', '742beac7bb67515b', 'c4052755634f3314', '77825008ac6c663b']; context = [[94, 128], [34, 66], [0, 37], [51, 82], [168, 196], [1, 29], [93, 121], [0, 32], [168, 203], [53, 86], [15, 50], [2, 30], [45, 76], [44, 77], [8, 39], [160, 195]]; loss = 0.024740 low_pass_filter = 0.300
+Epoch 0: | | 7279/? [1:10:22<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 7280; scene = ['2f1a90635ce346bf', '9aa698dba7c091b4', '8d6d5c6a59fe2041', 'baea9853c1f8b756', '883a40fe5150d149', '1d2966dfb6372259', '203fddb72183aa38', '5a2623f2591a7022', '2c01da21ce8f1ac1', '222d9cb22c66b115', '9e1d293a1a5e15f2', '02eeda3b542d1d7e', '4e23f94bab54bcc9', '84f0427dce7aa8e8', '17c1137ab9e3476a', '6dd9d6b7d9cffbcd']; context = [[139, 169], [27, 56], [6, 37], [53, 88], [19, 49], [12, 46], [28, 60], [91, 122], [43, 77], [98, 127], [89, 126], [218, 254], [66, 94], [88, 123], [8, 39], [56, 90]]; loss = 0.026237 low_pass_filter = 0.300
+Epoch 0: | | 7289/? [1:10:27<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 7290; scene = ['71e0ca8b39e099cf', '481700de6e39bbfc', '941a8e3ebd83048b', '25b033bd4c05f4e1', '4deb9a61dc7ddb3c', '26ab7013632ded77', 'f682063bfeb6c468', '5c160981d97349b1', 'd1f1099b0a428268', '6d1ed2233f65589c', 'd9547a0401062a0c', 'f3bfcdea86361e1d', '806a90bcf60f7e6c', 'e37711006fc617e8', 'dfcd88cbc69085a5', 'b7267845bbbf2bd8']; context = [[14, 44], [25, 59], [46, 82], [5, 36], [63, 98], [46, 82], [62, 95], [36, 68], [67, 96], [95, 129], [7, 44], [32, 63], [198, 235], [152, 188], [12, 44], [12, 48]]; loss = 0.025244 low_pass_filter = 0.300
+Epoch 0: | | 7299/? [1:10:33<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 7300; scene = ['935bfe82f9a91c6c', 'bccb2d322b8bd512', 'a39c6e8f3d9a2a00', '9ae8ac94ec73f354', '1c75685f0307f79d', 'dcbea8d317442825', '068b869b3861f8fc', 'a7c1244797fc53ad', 'a752ffdd0cd196ed', '9e299e04b20c3f70', 'c2ed056e761bd2c4', 'ba823bca7db295c1', '41cf7931d87820c2', 'b13f6387c59e38a5', 'e2d62f82e625ed88', '0d17e709818fb499']; context = [[38, 69], [63, 93], [9, 38], [15, 44], [54, 85], [27, 57], [15, 46], [7, 42], [102, 135], [81, 118], [132, 168], [43, 75], [62, 91], [26, 62], [73, 102], [134, 165]]; loss = 0.025106 low_pass_filter = 0.300
+Epoch 0: | | 7309/? [1:10:38<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 7310; scene = ['256bf843493c6450', '53e9f13ccdca849d', '06664d17c613a563', 'a514bcc8aced0356', '5d64ba6b134fb834', '2cdeb22866bd8b89', '031ca18c9472f03e', 'cc44fa522a2027be', 'f0e3087ed60f8e68', '551c02958152377c', '4b1ee57bdbda4b1f', 'cbf08a650761cb10', 'b5eaddf4ac5c6f62', 'c7844a02eecf3a20', 'd3e34d281b05cfbd', '4c206a668c76614a']; context = [[1, 32], [48, 83], [10, 40], [28, 59], [1, 32], [0, 29], [179, 213], [66, 97], [62, 93], [57, 91], [37, 68], [1, 31], [30, 64], [14, 49], [0, 30], [41, 75]]; loss = 0.029118 low_pass_filter = 0.300
+Epoch 0: | | 7319/? [1:10:44<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 7320; scene = ['d70f4aed1d205472', 'e1640587d009cf60', 'db147ea15731de61', '80984c89334000e4', 'db5e2be603041bea', '9cc4cd2a57a700ac', '66b08e1f685b1e39', '694c826a04dd0790', '5ed5fc85e9489de8', 'cc40622bab93b114', '9c4aac0b6fcee545', 'e16247bcbe3b56a4', 'b8d2dd9546bbaeab', '66b4341cc26b7407', '0ec94e39c196bce2', 'd8af4b4bd916921c']; context = [[2, 31], [40, 74], [3, 39], [9, 46], [18, 47], [3, 38], [53, 86], [206, 234], [14, 44], [146, 177], [77, 109], [139, 174], [9, 39], [6, 34], [2, 39], [2, 30]]; loss = 0.027767 low_pass_filter = 0.300
+Epoch 0: | | 7329/? [1:10:50<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 7330; scene = ['8033aa6c2010ee73', '9972e3c21d9e2447', '49b11eddf04b5620', '9d812fb06c8d197e', 'f155cca8dd2a8cc1', '6bf457fb2e24516d', '807c2a5bf7cbd41a', '4f09a928fbee28d3', '83c57fbb2624304a', '8a97f4f0954bda5b', '5b6fad04865aa615', '87bf99d0c4839542', '003a243e0d37b315', '323fa8deac25071a', '31bb52556c508299', '4ca81426357081a3']; context = [[13, 44], [143, 179], [11, 41], [61, 98], [102, 134], [76, 113], [41, 78], [28, 57], [23, 51], [12, 44], [6, 42], [47, 77], [65, 94], [66, 99], [69, 104], [114, 150]]; loss = 0.022866 low_pass_filter = 0.300
+Epoch 0: | | 7339/? [1:10:55<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 7340; scene = ['abe4316db2a41347', '41cfed19471833e2', 'ec3c3a41bfd736a3', '58cb8118a80c0baf', '6f840684cb842224', '63824989c3f412af', 'a1ab776dff376ff7', 'd3b36dc75c49581b', '04334b719bab18e6', 'aa09352702c3e9ec', '18c387ae52ec7b2b', 'e3912708738ed398', 'c6794c36c3f5b9e9', '26cf6203b5529728', '323bdfae8bc5f180', '38f50a03d51f7cd4']; context = [[0, 29], [119, 154], [22, 59], [19, 56], [64, 97], [33, 66], [79, 112], [7, 39], [12, 46], [143, 172], [33, 69], [0, 28], [22, 50], [63, 94], [23, 56], [60, 91]]; loss = 0.029731 low_pass_filter = 0.300
+Epoch 0: | | 7349/? [1:11:01<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 7350; scene = ['ea5c69dfbd80a84c', '08da0b9bc5445be5', '9b299dd51856f116', 'f918e879fefa0dea', '58a00f0f88f0e24c', '322d631f732ce283', '819648da61dbdca1', '048a072d80637ced', '2b960773b240ad4a', '91995cefc8e62e40', 'a3fc4bb219200eba', 'dc17a6a8584311bc', 'c7267bdc5d0926a4', '0dff7263b1c569ab', '2400829229f41b99', 'ba696be52c8963ad']; context = [[90, 125], [23, 52], [94, 124], [59, 94], [5, 39], [31, 67], [18, 55], [7, 36], [79, 115], [167, 200], [3, 38], [216, 249], [0, 34], [94, 124], [29, 66], [179, 213]]; loss = 0.023826 low_pass_filter = 0.300
+Epoch 0: | | 7359/? [1:11:06<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 7360; scene = ['8ce821da54a25970', 'f19f0e4357e0f07a', '88f77031423782db', 'a02ff3d019e0f929', '1f28f66d80d8a799', '3a19beaf455fa3c8', 'd8c9791047fd811a', 'bbf7579a8ad34b08', '81af71c11f6b155f', '776bb84673f96890', 'ef9ba01f86a61bde', 'a9be4205ae4d9eaa', '5b05ab7a497e95cb', 'c068006a34482758', '3a4bd5f5aa8919a3', 'd5b138f5c90dd265']; context = [[168, 204], [98, 135], [12, 42], [29, 65], [40, 72], [216, 245], [7, 36], [8, 42], [3, 40], [88, 121], [19, 50], [204, 236], [18, 47], [26, 62], [73, 102], [69, 104]]; loss = 0.029299 low_pass_filter = 0.300
+Epoch 0: | | 7369/? [1:11:12<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 7370; scene = ['d4f0cd8777b3d534', '287f04b4d4c3d565', '4a53a9711f98a0af', 'a15a797d550d5c07', '40d62c1c34dcb4ad', '9d37761f3e526b2e', '8fad002621cb9a72', '0fc84f9949ed58fe', '587a249b3119ff0e', '2b6287b06fc332a0', 'be2136570a68d629', '79fd1c101e824424', 'f5da0f88f6cd871c', '3171758ace14c9a1', '993b9c8748ada295', '05d25ebd7804e6d3']; context = [[0, 32], [54, 83], [47, 80], [132, 168], [151, 182], [36, 67], [163, 196], [42, 70], [218, 251], [13, 42], [129, 161], [20, 53], [42, 73], [25, 55], [29, 63], [78, 109]]; loss = 0.023438 low_pass_filter = 0.300
+Epoch 0: | | 7379/? [1:11:18<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 7380; scene = ['612e4097fffdc804', 'def54ce161678aed', '2048a9f77ad4c794', 'a4978d1996610c90', '67ca4858a6da9498', 'c2e29d5707c809d6', '46c0694e9ea28be3', '1fbf35024dbf8d68', 'b679f3152c617803', '40a36a6b415dcae5', '804a28c80dbb7cf6', '693fbf5b514480f0', 'd8b1092e3ee04227', 'b123dd2c895e2267', 'e2a60d710e081071', '7f2487897b9a59ba']; context = [[39, 70], [126, 156], [6, 34], [46, 75], [48, 80], [4, 39], [3, 32], [19, 55], [113, 143], [95, 125], [33, 67], [76, 106], [34, 64], [25, 56], [25, 60], [126, 157]]; loss = 0.025897 low_pass_filter = 0.300
+Epoch 0: | | 7389/? [1:11:23<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000,train step 7390; scene = ['1c06aea20d266433', 'e7cdb81f2a2e7f18', 'd063d31fc9a7af2b', 'd1594196fa748b2b', '62d9c30b7009ade6', '8421d1b832751b06', 'cf888eee79e98e59', '866aba7c3f56d29e', '2a4692e93110dcd6', 'c8c034439fbe43f2', '39bb5aa9284997dc', 'eae116e50dca5b4b', 'c23aaa7965325e09', '17a3785a7d58531d', '03704dad48e824f9', 'e0222b577fdfde97']; context = [[92, 122], [6, 43], [49, 77], [79, 108], [56, 90], [36, 71], [0, 32], [48, 84], [19, 53], [14, 43], [13, 49], [31, 65], [73, 109], [7, 38], [42, 78], [212, 245]]; loss = 0.026681 low_pass_filter = 0.300
+Epoch 0: | | 7399/? [1:11:29<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 7400; scene = ['d5da6f59e6e8f621', 'c65008663a38505f', '7464f52f05dec89a', '069044050b561dd3', '0f35ceaf227ff187', '99271aa47d803a6f', 'e23f945703f61bfc', '7277bcf45f9b2f21', '4dd424a2e0a97403', 'd77fc60af718d2e2', '9bebde67fd28d7c2', '0645a4e5ad941af4', '6883aebc73cdcd2a', '81431041a033fbc8', 'f1be1ce6391b8af8', '9ecbc16ba5f51e98']; context = [[10, 42], [61, 97], [14, 51], [171, 203], [33, 70], [121, 149], [62, 92], [63, 93], [60, 88], [161, 198], [104, 141], [66, 95], [200, 237], [16, 44], [11, 44], [46, 78]]; loss = 0.025362 low_pass_filter = 0.300
+Epoch 0: | | 7409/? [1:11:34<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 7410; scene = ['e2f7704a1bf6ea91', '9d2ab37f027652f8', 'a2d077e3dad263c2', '537580f71422704e', 'e0ea545b60dd789d', 'bfe0901cfb38d2cf', '51b622049a721290', 'e9d11d18a0abff33', 'c01ce746e8786ee6', '592f02d9a81deedc', '92362c407ae31300', '9837661a38ea63e5', '69b8747c662bc454', '67f5335d95ac7bbf', '063dc505e73135af', '23132b7df2da8457']; context = [[242, 275], [0, 30], [37, 72], [237, 267], [8, 36], [35, 71], [4, 38], [69, 98], [88, 116], [55, 83], [30, 64], [16, 44], [23, 59], [136, 169], [92, 128], [146, 174]]; loss = 0.024947 low_pass_filter = 0.300
+Epoch 0: | | 7419/? [1:11:40<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000,train step 7420; scene = ['48f39fdb36aced7c', 'e49ae09c86374272', '2403dfbc8cb4d693', '58275afa53d48646', 'e27944e20f739de1', '2362cb1176998093', '49905e5c42e7463b', 'e8dedfa84d3d44df', '1201a08ff8429b5c', '3de5c60abf559a69', 'eac342d936e459d0', 'd118e19d42fcf599', '9861ab6d738171e6', 'a28222bcb38d29b1', '1413db38e3f70b4e', '3e33442f3b19526c']; context = [[12, 47], [101, 130], [4, 41], [58, 86], [19, 48], [146, 178], [183, 218], [98, 135], [141, 175], [7, 35], [1, 37], [172, 209], [20, 50], [47, 76], [48, 80], [7, 40]]; loss = 0.029650 low_pass_filter = 0.300
+Epoch 0: | | 7429/? [1:11:45<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000,train step 7430; scene = ['a7f4634cdbb5bd73', 'b1960a647463572d', 'f5b005cd4438e2c6', '133df6db7dd9dab1', '24e2d1df4ded73d6', '2a3b8b8cc1fedcd3', 'ab1a470fd0aa350a', '455ef17251608d98', '5d353287276b3f72', '66680f2ffd969227', '46d6eb17b0db43a0', 'a94cf3b3612d30ab', 'f094396e9b12ff81', '7de38ac4e903910f', '6c13cc66ae616e9b', '9388ca301f4e0bd1']; context = [[157, 193], [22, 51], [26, 63], [230, 267], [38, 69], [9, 43], [123, 155], [53, 84], [133, 166], [28, 63], [21, 53], [0, 33], [8, 39], [70, 101], [1, 32], [7, 35]]; loss = 0.027408 low_pass_filter = 0.300
+Epoch 0: | | 7439/? [1:11:51<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 7440; scene = ['837c70059f593fab', '47dc67897b5ed04b', 'd1ab1dff073d6d37', '52ba723e1b5e31da', '8902e97c5814433e', '30e1d420b926d6f0', 'd1a496112cee9a32', 'd069c35354465fa9', '161cc1c3c7d7f131', '09a1e9bbded02341', '2a23966bfac99977', 'b23cbee05407661d', '3918e4998619b227', '7bf71b62cccdf2fa', '1db855eb2be5b983', 'f372609a6c75bced']; context = [[33, 66], [56, 86], [73, 108], [124, 159], [15, 49], [69, 103], [47, 81], [8, 36], [6, 37], [80, 113], [30, 62], [18, 49], [75, 107], [82, 119], [32, 65], [26, 55]]; loss = 0.028746 low_pass_filter = 0.300
+Epoch 0: | | 7449/? [1:11:57<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 7450; scene = ['d44c8063e3cf6035', '70e481732168c917', 'b5af5097b8dcc2ad', '869ab3af4fd90d3f', 'a050a9a892104e14', '9668707d6167a299', 'b1c0d6884ffdf290', 'fcdcc21f43af696d', '1969ed97e68d83d9', '0c199c575b699444', 'cd11338af203e348', '86ca06e3d7be0bb8', 'a8ab50f4ebaccbb7', '290a5651c6af5c70', '4a0b4e760a68697a', '6574856af56d242c']; context = [[98, 128], [13, 49], [51, 79], [1, 37], [47, 78], [130, 163], [233, 265], [8, 39], [40, 74], [183, 213], [77, 108], [72, 108], [83, 113], [29, 65], [15, 52], [0, 32]]; loss = 0.024338 low_pass_filter = 0.300
+Epoch 0: | | 7459/? [1:12:02<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 7460; scene = ['d1f629da3a816c03', 'fb465ee3fded7d42', 'f3438f9da04db709', '12dea77c68134296', 'daed58d6174274ec', 'c61b981dbf13061f', '5a71e24754ea107c', '1cfc5fe62ca5877e', 'fa9ceb9287bcad19', '602ca1341a14bc28', '784279860f251724', '32a0b18fedacbcbc', 'cd0fcb3d5431cb79', 'b3bcd04c589274ad', '25ea8df146574b53', '2a5dc81550340f67']; context = [[205, 235], [35, 66], [40, 74], [20, 55], [66, 99], [45, 73], [2, 30], [25, 58], [58, 91], [0, 32], [83, 116], [46, 83], [31, 66], [61, 89], [52, 81], [50, 79]]; loss = 0.023420 low_pass_filter = 0.300
+Epoch 0: | | 7469/? [1:12:08<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 7470; scene = ['f4f25a0c7f0a7678', '46fb6702ed1b9967', '05bfc76ddb55b2a7', 'd777e52d81fbc515', 'f2877fd3e188aca4', '6ef3099511d24386', 'd0bae56464f6702c', '756d2cf95e970c61', '0474328f4cefd619', '8039342cf122c12d', '38169a64d14c2968', 'fa2944a076811544', 'fb3de7df9bcd21fe', 'f48d46ed6ff11fd2', 'bec5a96b9f3d3958', '99e524fca7e5a5d0']; context = [[18, 49], [187, 224], [61, 89], [96, 129], [104, 137], [59, 91], [96, 131], [56, 90], [44, 73], [41, 78], [5, 41], [1, 33], [48, 77], [116, 153], [110, 139], [20, 49]]; loss = 0.023608 low_pass_filter = 0.300
+Epoch 0: | | 7479/? [1:12:14<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 7480; scene = ['9a8ca42aa257eb7d', 'ea6756e8fdbaa3b8', '53a2168e29e700dc', '289adac94281ccb3', '1318e656455d56d2', 'b9b73f46f1e5127a', 'de8093f620537a4e', 'b86ade7fa8b48715', '6a417181b27738ac', '57cea8a71cab48cf', '33e825f8a32b472f', '443235aacac2c1bf', 'd02e6b104723d39a', '1290f3a6418b3dde', '051c6fc0722d51f7', 'a535813b18e86b5c']; context = [[18, 51], [68, 105], [27, 64], [17, 46], [21, 57], [16, 51], [108, 138], [1, 33], [1, 37], [39, 74], [3, 31], [188, 217], [61, 90], [135, 168], [12, 41], [27, 56]]; loss = 0.023811 low_pass_filter = 0.300
+Epoch 0: | | 7489/? [1:12:19<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 7490; scene = ['4b29e2bc720d41fa', '6e4b984075d9d0be', '262e52b03eceb5c9', 'b7a14012ca652f07', '2a61433c583f4052', '5d50f21bfe94df8c', '43c617b1ffaffd39', 'd715711625070e85', '7c94ad911e2fd023', '4b12a530a5ab03d0', '08c09a60291a2f5b', '8663eb32379fcd45', 'f4286518f13f9e65', '5ac9dbde9cf64eed', '3555b2375c745e15', 'fdf39d23e4d2212d']; context = [[48, 79], [58, 87], [156, 188], [65, 94], [21, 52], [30, 66], [39, 68], [190, 220], [119, 150], [214, 248], [43, 76], [39, 68], [161, 191], [34, 67], [51, 86], [5, 41]]; loss = 0.029934 low_pass_filter = 0.300
+Epoch 0: | | 7499/? [1:12:25<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 7500; scene = ['8ae37caf70acdf7d', '4305d5a5fab3efa5', '4d53551d81b226fc', '7b8ae88adecfb87f', 'f403f83a9cac4ba5', 'eb1785431a9d20c6', '6b5033800250e9d7', 'ff8cf27635ec8f79', '5a149fbb9799b5f1', 'a50412be59011ef1', '72c76753251034c4', 'ec3fcc76dc7935b4', 'af6b1c8a353f5f01', 'd001a09d4047c3d9', '95604de455068830', '94ef76e68046fcc5']; context = [[67, 100], [20, 56], [33, 67], [18, 47], [53, 88], [2, 37], [16, 51], [10, 45], [2, 37], [4, 35], [5, 39], [20, 50], [17, 54], [209, 244], [63, 96], [118, 151]]; loss = 0.022760 low_pass_filter = 0.300
+Epoch 0: | | 7509/? [1:12:36<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 7510; scene = ['1dcb240325fa36e7', '8a44e9b2b9fa4231', 'b1d60da6d903d72b', '045404bb5789b725', '67fea88caebb1c14', '96c9a9e1759d9920', '76ae405bf2de98c2', '9eb97841e5239d91', 'a05e5fa0cbf32e4d', '170fd5c0b4a9f64a', '8385639daed6ad35', '59c3bfed205e6641', '3dd55783dba98a3a', '9b31d2cb5cbbcea4', '163767f16a78b79e', 'cc155e5c5b49b6f8']; context = [[175, 206], [9, 40], [0, 31], [10, 40], [147, 177], [69, 104], [85, 117], [72, 109], [99, 134], [40, 73], [200, 230], [28, 64], [10, 47], [191, 227], [133, 163], [84, 112]]; loss = 0.023499 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 7519/? [1:12:42<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000,train step 7520; scene = ['a1b823b2106e429a', '5843a30d98578bdb', 'e8f23f5065972ddb', 'fe9d806cb3061f25', 'd79b8c2b038b19c8', '8e9fcb869497ce78', 'de325a80c227d153', '7f514243a8e4b551', '693058564e542cee', '438dbd54911e9b04', '9379827756f6a6ae', '06f886c287ca0a8b', '18060d9b9389cd2e', '4de8ddccf7eee0ba', 'f3fb6cb6a5e93e44', '2d0593bbf7b581af']; context = [[38, 70], [148, 183], [71, 104], [24, 56], [31, 62], [80, 109], [84, 120], [146, 177], [8, 39], [242, 271], [59, 91], [2, 31], [18, 52], [63, 91], [43, 78], [6, 35]]; loss = 0.027317 low_pass_filter = 0.300
+Epoch 0: | | 7529/? [1:12:48<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 7530; scene = ['35a2c80839ed1a83', '8889a2be8a61f78f', 'a11a6794ec0ca556', '493811a076df63d0', '406691a64cced965', '19cea81590502fad', '2479a45557099a67', '7885f21461cd4377', '9d7bae0be039a957', '86e586b33e7b6f38', '4ae3a70493900f6a', '5ccebb9ae8057cb7', '9c51cf4e89113126', '1df9284b9b3b08ec', '75f9f8b758663455', 'ecd0d0bb2819ae9a']; context = [[83, 119], [71, 103], [13, 45], [13, 48], [53, 83], [166, 197], [5, 40], [3, 38], [135, 168], [195, 232], [41, 75], [23, 59], [82, 111], [60, 88], [82, 113], [56, 89]]; loss = 0.025657 low_pass_filter = 0.300
+Epoch 0: | | 7539/? [1:12:53<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 7540; scene = ['9968065bf8012a1d', 'f55fb3b30b920fc3', '0ef0b6b5adf76ddd', '76f03f41f591d31d', '99ae43a0c2b382ed', '7d6d4af2634f852b', 'a0e1144d26761235', '1a5cd254714d47a6', '66a4793cc9c13499', 'd13f87ebbb540503', 'fe6824a4a09b11e0', 'f7d98971d27dfe00', '98ce0acd742da43d', '69f4af955f0c5456', 'a35e52a09f508fe6', '75395572e67504f1']; context = [[55, 93], [23, 54], [16, 52], [231, 264], [16, 54], [0, 35], [31, 66], [132, 167], [81, 111], [41, 71], [92, 130], [16, 45], [32, 66], [55, 84], [51, 80], [10, 43]]; loss = 0.022106 low_pass_filter = 0.300
+Epoch 0: | | 7549/? [1:12:59<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 7550; scene = ['cde7d671fa8d61ac', 'c7f7303fcbc52b43', 'b23d97a750c719ee', '4b148538b0785a5a', '359705f603b8f42a', 'dec8847e03333be3', '775b82d34796713a', '4a640e2c24d90419', '1ae6761f9dcf6728', 'aa1fd4353ae6a597', 'a87a09ed2753e174', '188eb86b0baa1531', '580bbe2141b9e6e2', '338ce7509f071f4a', '012122018a5c884c', '252d4d4ba3af45eb']; context = [[1, 31], [51, 89], [42, 79], [109, 140], [65, 99], [130, 167], [81, 116], [2, 38], [6, 44], [9, 42], [0, 34], [122, 152], [17, 48], [54, 87], [98, 127], [4, 38]]; loss = 0.026498 low_pass_filter = 0.300
+Epoch 0: | | 7559/? [1:13:04<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 7560; scene = ['d5c6cf0d7192f035', 'b6a0afa8b19af0a1', 'af72f5eb3b6193e9', '367d250609302784', 'da9dc8b7a8d9b706', 'f191a29369a997dc', '56b29dbbfdd767cd', '9d858244aca1856e', '0189e5449d3efb7a', '929a088b7df923f2', '20e017ff3928b7b1', 'a96e04d588ad2a6f', 'e7fac01853ef79e7', 'a5cc99f839975fc2', 'cd60f9e0fbcb6cf4', 'd08757e1f2a76131']; context = [[100, 135], [101, 138], [21, 54], [75, 112], [64, 99], [123, 154], [48, 82], [15, 51], [29, 63], [53, 87], [17, 54], [82, 111], [190, 226], [78, 110], [58, 95], [77, 108]]; loss = 0.023632 low_pass_filter = 0.300
+Epoch 0: | | 7569/? [1:13:10<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 7570; scene = ['00104677f98ca3c9', '854e67be5e2269ae', '88ccb97711c25fc9', '669a9eadc281948b', '16a7631f41a026e1', 'cd5d7eac3e6a67fb', 'bd5ca4829283b11f', 'e81fd25426cbbad2', '5500c64041dcdc69', '4fe25eb6dbfcf1a7', '4e12f7796feac812', '880a284f8c74d2ab', 'c2614148023a0092', '99300092146a884a', 'fdfdce9f3fc006d8', '93db697953cb8fbe']; context = [[25, 59], [30, 59], [6, 39], [92, 122], [40, 78], [23, 57], [123, 152], [40, 78], [25, 57], [12, 45], [57, 88], [132, 161], [80, 113], [3, 35], [206, 235], [25, 62]]; loss = 0.025691 low_pass_filter = 0.300
+Epoch 0: | | 7579/? [1:13:16<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 7580; scene = ['cd3a4584964695bc', '4e1b2a3897227661', 'c90733af6a8fc29a', 'fe9263e6769a380d', '41962a5fd8fca53a', '4ac2729ea26878fe', 'cebe3be57fb380f1', 'b957dc0816f778cc', '387df848c49ce543', 'd3141e047f94083c', '3d4066bca07d103e', '52701bf4a3f2a21e', 'ec8c329c574f5821', '65c59ca59d640f1e', 'c4ef62d643a5109b', 'e1521248f697a339']; context = [[177, 215], [46, 79], [32, 66], [38, 71], [73, 106], [138, 167], [4, 40], [29, 65], [2, 36], [210, 246], [91, 125], [67, 97], [52, 81], [51, 88], [112, 149], [27, 57]]; loss = 0.024790 low_pass_filter = 0.300
+Epoch 0: | | 7589/? [1:13:21<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000,train step 7590; scene = ['f13dcb3a9ac8a857', '7f1300a8832a91dd', 'd4aac0088971ad5d', '4d2b58c1c68d7a70', '77edfd95c0bdcfba', '591d135911e6c386', 'e7a80a3722babaf6', 'e9361db186056e85', 'c445efec04a8b903', '43d15b8037853a27', 'f1a0acc23bcbc5d9', '9a8f5fc70818b92b', '63ab8f9d70444a2b', 'fb9098aabf4c2711', 'afe980fa0bc82222', 'fb1de25d6e5e68e5']; context = [[9, 47], [114, 144], [39, 72], [1, 30], [35, 66], [2, 33], [44, 73], [95, 133], [37, 73], [58, 90], [136, 172], [99, 128], [78, 110], [1, 39], [6, 41], [63, 93]]; loss = 0.026265 low_pass_filter = 0.300
+Epoch 0: | | 7599/? [1:13:27<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000,train step 7600; scene = ['5f2c6110d2bfb3c0', '1f9b933a07d38dfd', 'dad7340a868bad94', '02edd480c0e41501', '49c4f3fa721ce174', 'ca069a3e2dcc191f', '623f56ee4fc47c46', '4f03796c0bdf495e', '262b698241a98781', '845ee057d436a995', '20dd4ec470a5cf7b', '7d92d0c0bb3f0989', '4d5593ce15e317ed', 'b8221d91d8956603', '30b51cdcd3c85fb5', '2fb39167f2048739']; context = [[31, 62], [37, 69], [164, 197], [20, 56], [21, 53], [16, 48], [36, 72], [32, 67], [2, 35], [59, 96], [120, 152], [32, 68], [78, 116], [16, 45], [195, 225], [12, 44]]; loss = 0.027591 low_pass_filter = 0.300
+Epoch 0: | | 7609/? [1:13:32<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000,train step 7610; scene = ['1c6199d31018d9f4', '3fe89efff3d1059d', '77f0316c73a1098f', 'f7030da7965f4802', '513986b76c939519', 'a2fdff8f3ea9d692', '7add501fe23a7ce8', 'b29f6dd77451ab4f', '58c80e5820b75155', '52686964de0ddc8d', '200d9ecb37021957', '82cb6547e9e4764d', 'da2089bb834c5d90', '599229267f8aecef', '0a1e750a4a0d5a2e', 'b7f5fcfd690b5c55']; context = [[38, 68], [51, 85], [1, 36], [19, 52], [154, 185], [49, 78], [97, 135], [29, 61], [152, 185], [7, 36], [3, 40], [57, 89], [105, 137], [50, 79], [57, 86], [18, 56]]; loss = 0.022408 low_pass_filter = 0.300
+Epoch 0: | | 7619/? [1:13:38<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000,train step 7620; scene = ['18c3f352c7d6dc92', '900771ff22868f89', '5e6e2a1a1c382c52', 'fd68cfff861284e0', '9e58f95fd4a31468', 'dcb10b5b0c4c3853', 'ca9b53deb1359193', '2e2409e5ee0d8233', '861bad9244603e85', '57c4c871ad8cb634', 'ac56b8116af8c536', 'a56d066178264232', '84f5ebc130318167', '7bb8d358ee6c9c94', 'f1ef7c1adc5ec36d', 'd71c2d50ee22912b']; context = [[96, 125], [34, 72], [15, 49], [3, 37], [28, 62], [3, 32], [13, 51], [49, 85], [9, 38], [6, 36], [99, 131], [5, 36], [25, 61], [15, 48], [18, 51], [15, 45]]; loss = 0.027735 low_pass_filter = 0.300
+Epoch 0: | | 7629/? [1:13:43<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 7630; scene = ['b789c7458ec68143', 'dea5bd0f77069f72', '0ea852338a77c84d', '53db70b63ac3990c', '65cdd012231a757c', '6d70eee02ef9d6ff', 'd8ddebbd5a79364b', '4b30f3b820875a1a', '1e796863c062efaa', '75f7df7e153bb467', '84335596c296225a', 'bca757afa6825a39', '9313282562b4c82a', 'edc39c2e54f4dd24', 'bc34ecfb3c809d97', '51ba892c38152086']; context = [[31, 60], [84, 116], [52, 88], [97, 126], [154, 187], [41, 70], [34, 66], [16, 51], [39, 69], [25, 57], [114, 144], [11, 45], [30, 64], [42, 78], [35, 73], [35, 69]]; loss = 0.025804 low_pass_filter = 0.300
+Epoch 0: | | 7639/? [1:13:49<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 7640; scene = ['28be161d37f468d0', 'e4a04ce635b099dc', 'ba9f28692c62d379', '35adc3690881195b', '91c682985aabd6e3', 'eede269444f4bead', 'ad986b13d4db790c', '485274f02ea43b07', '80c31b550426d52f', '873339b3cca41d9d', 'b7323c1930147b45', '2944c41941a725e9', '547ec2a373bca762', '46d291b62f5032b2', 'a7397b2a4fdfd7fc', '1c4c57c62457fb2e']; context = [[22, 51], [66, 95], [29, 59], [119, 156], [0, 37], [102, 131], [15, 53], [42, 72], [228, 258], [32, 67], [2, 36], [25, 56], [186, 223], [35, 65], [24, 61], [12, 45]]; loss = 0.027255 low_pass_filter = 0.300
+Epoch 0: | | 7649/? [1:13:55<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 7650; scene = ['b09e289b3dc5b7f4', '278f61f8ab774b4f', '4cb5a4167f3efffa', 'd4b73954f873679a', '295a4324517ee9bd', 'b99e5b404aa9be0a', '73fef5139753e974', '6fb2aa1d31d527e4', '5c0a8d4d61b56c5d', 'c6cea245140c3f81', '73a5af87f854aa5d', '11ce93a3b415329e', 'c2ac8ef4459af817', '6e16f2a6fd80bce9', '3acd2a0d166e55fd', '977331675ce354c9']; context = [[17, 55], [15, 52], [8, 41], [11, 48], [98, 131], [126, 155], [11, 42], [47, 80], [12, 49], [76, 111], [4, 41], [10, 39], [59, 92], [22, 60], [182, 220], [1, 30]]; loss = 0.025729 low_pass_filter = 0.300
+Epoch 0: | | 7659/? [1:14:00<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 7660; scene = ['b4f1e78ec56bbfaa', 'd6e17ca4f4f8b6a8', '6daab8e7b3f7c0f8', '3f5b8daee840078d', 'fb7b841583db818a', 'bc6fdf7fa5a3cd08', '4f2085edaa43d79f', 'c3d3e599f5b98ec4', '024d43f3e2200d02', '48cb4cd6d8304166', 'e610b6e1446a770d', 'da2a7bb7a32a94df', '0625ac4ab070fb87', '572ff873f8ada192', 'ed9de3b95ffec046', '426c02bbb74d281d']; context = [[5, 35], [14, 44], [27, 57], [66, 96], [180, 214], [125, 158], [175, 204], [30, 59], [127, 161], [6, 35], [66, 98], [111, 145], [22, 52], [52, 86], [46, 84], [4, 35]]; loss = 0.023387 low_pass_filter = 0.300
+Epoch 0: | | 7669/? [1:14:06<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 7670; scene = ['67b991e3e371c9b4', 'c2e5059160758f32', '31ee94df5ad93459', '387aaba2ad42d337', 'c9de8fca435920b5', 'd3ba844d429e0637', 'ba3afdb34c569180', '86cbadce0ca5921a', 'dbf54956d949c416', '4d8ed991890a31e2', '8812c0981c6f30a8', '13f23d788d0a3bf2', '8b80a0150e20f2f2', '1ceacc053b551f8d', 'dc1957e821ca7ae1', '2c748dc404ccbd54']; context = [[29, 62], [66, 102], [127, 165], [75, 105], [18, 52], [8, 43], [140, 176], [74, 109], [27, 56], [80, 109], [83, 114], [5, 42], [3, 37], [16, 45], [43, 77], [29, 60]]; loss = 0.022653 low_pass_filter = 0.300
+Epoch 0: | | 7679/? [1:14:12<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000,train step 7680; scene = ['7dc5678b391a300b', '760c2ac3301f9830', '720742ec46570641', '5853be7330b4b2af', 'a40b2a44d4b8081c', '3c44c60aed259d91', '3c7bce242568d273', 'd0d4ad4d03d611ba', '5a042ffa11586731', '28f817c51f5fc676', 'ed9fdd6526128f26', '903c0556273ddd04', '31eb8ff621bb7ced', '94451d81f8e139cb', '2dfd6fa64b4b8622', '4b98f62e96b7e00a']; context = [[22, 56], [7, 37], [7, 44], [51, 87], [13, 47], [62, 99], [24, 61], [33, 68], [28, 57], [28, 63], [13, 51], [155, 191], [2, 37], [23, 59], [78, 116], [8, 43]]; loss = 0.031450 low_pass_filter = 0.300
+Epoch 0: | | 7689/? [1:14:17<00:00,  1.72it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 7690; scene = ['b6a1c51335c46f66', '3b3cf18766226dba', '53a78f0397e97484', 'a1a1232aaf87f494', 'c9549c302dd8199b', 'a6716ac7a4815ded', '6c57545257660e6c', '71712c08e8ef2a32', '8c8616ef6d449859', 'f7abb89a68f6b66e', '63833dc00510be0d', 'd252ca12cb81ba14', '817922fc5c11a43d', '3e5b496f2549f58e', 'b597201478c9181a', 'ca5b332151e25772']; context = [[201, 239], [6, 42], [16, 52], [14, 52], [50, 85], [93, 124], [102, 131], [54, 86], [47, 83], [206, 238], [75, 110], [46, 80], [11, 41], [60, 94], [218, 250], [26, 64]]; loss = 0.026512 low_pass_filter = 0.300
+Epoch 0: | | 7699/? [1:14:23<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000,train step 7700; scene = ['d324f36129c89fa7', '91188f3f75824ae6', '32a01427f04b7038', '742400ae02982a58', '08795007f7dbe014', '5b24cc641fd8e56a', '50ebba7498d9b389', '2b51afd20f93fbb3', 'bc38d6696f19b9f5', '4a36de0119c93c8d', '7016fc88f085f2bd', '314588c4ee5d31ac', 'fb9c7ba5d2ee795f', '3a3123960a5b3070', '2cedb207ea3ce853', '1fe53207ba36202a']; context = [[74, 109], [71, 102], [5, 39], [44, 73], [193, 230], [65, 95], [39, 70], [73, 111], [91, 123], [27, 65], [67, 96], [9, 42], [101, 139], [6, 38], [1, 36], [69, 99]]; loss = 0.024868 low_pass_filter = 0.300
+Epoch 0: | | 7709/? [1:14:28<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000,train step 7710; scene = ['5e55f309753b5ce4', '3af84daf652d5c9d', '6c3a059a4bb42347', 'a90cd28742cee5e0', '9aea9a519266134e', '5f9e388efa364f74', '3cbe6fe0f3f71e16', '45a9f07df2162f72', 'f75e151b66f83348', '8c9aa1244d6b8737', 'c0b9d76884655dcd', '9f3bcd7cc09b869d', 'b220e8591b6048ba', 'af10100731bf2226', '9ba2d62e72db7145', '01b5eee3faf8485a']; context = [[123, 156], [4, 38], [40, 77], [20, 58], [42, 72], [46, 78], [75, 113], [15, 47], [81, 114], [74, 112], [14, 43], [40, 71], [126, 156], [64, 94], [13, 43], [73, 108]]; loss = 0.022105 low_pass_filter = 0.300
+Epoch 0: | | 7719/? [1:14:34<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 7720; scene = ['4e6e6db5462cb1c7', 'dc376ea709de6a6b', 'c7e94713ef1f1ace', 'b730ba2045aa78eb', '9bb0448e7cb2f733', '75790c62002de4f2', '0cbf1454a4391523', '5dbc84083496e415', 'dff181c503e5c202', '66c3771cf7cb96c2', '6dd4b348223c880c', 'f0b0c2b2fa790b94', 'fd4c9fb0fae56ccd', 'f3b24cf238154fc0', '590f0b63f12a500d', 'a8cef6a851fbea3c']; context = [[20, 55], [156, 186], [25, 54], [20, 52], [37, 70], [36, 65], [57, 93], [11, 49], [2, 40], [216, 248], [11, 41], [26, 64], [32, 62], [2, 34], [3, 32], [79, 110]]; loss = 0.026117 low_pass_filter = 0.300
+Epoch 0: | | 7729/? [1:14:39<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 7730; scene = ['7fdf985ba46e978d', 'c0fa0cb15499fc43', '0e5f43adc84b0435', '72f2624f07a5fa16', 'c1f13598d80903f0', '5e64c580f02995fe', 'f0362371b3876f4c', '975b84c30ed18547', '45477b553ecc8bc0', '6f3c6b0d3f33650c', '137f03627c44f449', '14f946268ad74b0f', '63899ad40044150d', '1540410113b2f9c1', 'b355ec5ea53274af', '356b3796a079db20']; context = [[5, 39], [76, 108], [38, 71], [0, 34], [0, 30], [174, 207], [37, 66], [74, 107], [20, 54], [31, 62], [7, 41], [42, 77], [52, 87], [2, 33], [1, 32], [57, 89]]; loss = 0.024515 low_pass_filter = 0.300
+Epoch 0: | | 7739/? [1:14:45<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 7740; scene = ['f08b650e63b795f0', 'fc02b2528ee613e1', 'ee6ce41db1f44f01', '4a18f49c0e887115', '106f8204a9e37f52', '7d634ffc2785a9f4', 'f81c46fec218b506', 'e7fcb10ae826b13e', '9ac8241a27b0ec6d', 'b8c497090fba93d4', '6a23616a2361111f', 'fecda62970485d2b', '99a11af3dcb2bd13', '8dbf79bf8fb56328', '10542b29d3d73bfd', '882350c0ebe1872a']; context = [[17, 52], [90, 128], [2, 32], [35, 65], [169, 201], [71, 103], [82, 120], [34, 70], [224, 260], [23, 55], [4, 33], [0, 29], [224, 255], [64, 101], [37, 71], [64, 101]]; loss = 0.024703 low_pass_filter = 0.300
+Epoch 0: | | 7749/? [1:14:51<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 7750; scene = ['0e4be95a7a352b3e', 'f9d4d09bb92dac5f', 'c7c6afa266a7c768', '9eb8e7f262b10c23', '8b950107c02ffaa9', 'f5d47cbf373ef48c', '56ca12de78c49588', '1352e11525407ad0', 'b948ce0680ae4e32', 'b79cba09d12f8d24', '829a28f1c08f5a85', 'ea4d05de31555896', 'c3774b5bec23a553', '637b4d4424886b66', '7f534ff603a04b87', '73b3baa378bd5c87']; context = [[240, 273], [45, 78], [6, 38], [9, 40], [45, 76], [25, 60], [13, 49], [13, 48], [33, 69], [10, 47], [20, 55], [40, 74], [28, 61], [56, 94], [58, 94], [37, 69]]; loss = 0.027863 low_pass_filter = 0.300
+Epoch 0: | | 7759/? [1:14:56<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 7760; scene = ['e76debad49d94294', 'ee19a4079a07b2fd', 'b6f14e22ddc7deac', '85ba4b907823cd95', 'c6b9472bf055527a', 'a6c866d1b23c3bf5', '9911e5bd5013874e', '91888298fd1b9b3c', '499eb3b7f796856f', 'd4642a649788a10b', '1f0ed2f5fecc5354', '845dddb2e014cdc9', '19680d909b12ddda', '3a2204326cfd6610', 'd3ca9be81f2783aa', '45da746b8cb04863']; context = [[12, 42], [185, 221], [13, 49], [0, 29], [38, 73], [3, 32], [59, 97], [27, 65], [1, 30], [145, 178], [129, 167], [21, 51], [1, 30], [245, 276], [111, 149], [26, 64]]; loss = 0.027180 low_pass_filter = 0.300
+Epoch 0: | | 7769/? [1:15:02<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 7770; scene = ['aa6baa58fe0e6823', 'c736f11c968c7121', 'ab4998d89b2a8d5f', '5523e72be12eaf78', '2809cd543b89ce6c', 'c9b3244389a84c23', '4dace0a9778018eb', '9954d8448441bae6', '5b6461227829a452', 'f46cd6716555abab', 'd5325aebc6be807e', 'f563ae2c67ee8192', 'd950e7899ea3c6b5', '13183ca42e42d694', '3a3bbbfe1b04ac16', 'b62e53f9c8d0c021']; context = [[183, 217], [22, 58], [48, 84], [33, 68], [4, 37], [5, 38], [20, 49], [51, 89], [15, 52], [22, 55], [156, 193], [124, 154], [48, 78], [9, 39], [13, 44], [5, 40]]; loss = 0.026082 low_pass_filter = 0.300
+Epoch 0: | | 7779/? [1:15:07<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 7780; scene = ['04a7a63a820101b4', 'ac853d0fcbeb1ef9', '48cc352969a825b7', '47d0a3e0e5a96b1f', '46bb43d7e66f9559', 'cc196894bc6ae6ec', '2a985334864b8610', '0c2aa8503f334e08', '970270fa27de8018', '20185dc6c94840fe', 'f6c87d935ee0981e', '1a9d2048f2180079', '60567e5e1941b27b', '3e9becce3849d77f', '549c40ea8ce3038c', '94d919d55f8b5d90']; context = [[8, 44], [18, 51], [22, 59], [53, 83], [198, 229], [112, 145], [49, 86], [202, 233], [22, 58], [28, 58], [8, 38], [40, 77], [51, 81], [70, 99], [18, 52], [12, 46]]; loss = 0.027456 low_pass_filter = 0.300
+Epoch 0: | | 7789/? [1:15:13<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 7790; scene = ['613c8fab1611af00', 'd1dd037c793c6600', 'ca749e1bc594096f', 'ca62e7774f3d688b', 'b14338773e321e61', 'e4353269f69c4e0f', '98d35dadb621cdd3', '46098a3607b75cd0', '736a2b17f44a2c36', 'f744455fc964a260', '600e0fb99c2b3817', '6f4019062371b8fe', 'fe2250f23e91261e', 'cc08397f41911501', '036fdcef477396ee', 'db52871fc7ca0bfd']; context = [[23, 53], [77, 111], [21, 54], [9, 47], [8, 39], [25, 60], [27, 65], [59, 96], [33, 69], [80, 114], [8, 46], [12, 48], [18, 52], [23, 52], [52, 81], [73, 108]]; loss = 0.026735 low_pass_filter = 0.300
+Epoch 0: | | 7799/? [1:15:18<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 7800; scene = ['dad822bc57edd5c0', '0482887f7befdddf', '7fcf22e08f55d9dc', '1d6b02844df00066', '536bdfd087829c69', '502c2d01977073ee', 'e5d56d435c2d43de', '93fed0283d683198', 'd805fb46f3952987', 'd1f11ff6b25136a6', 'e9b3ee54d1ed8bf3', 'e8556bce269486a4', '3e8bf9b4348c73d6', '5d94f429452c77ae', '88d99c13c9aa2879', '53fe362fe9f15a4a']; context = [[32, 62], [25, 63], [207, 240], [37, 70], [2, 36], [100, 130], [15, 48], [43, 72], [17, 50], [4, 37], [39, 76], [40, 69], [99, 136], [20, 53], [17, 50], [93, 131]]; loss = 0.024041 low_pass_filter = 0.300
+Epoch 0: | | 7809/? [1:15:24<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 7810; scene = ['f165d20dbfd51f42', '15bcc07bca382a0b', '2d66737832c4cd18', '9610550dc2158bff', '15bbc78cbb8744eb', '765969df0c10cc67', 'ce357c0e48f61ef9', '4e3342227bac9194', 'b53bba5522b4b8f1', '6920ac9035ec1bc6', 'b479eeed22e8e59e', '8e38110489730c19', '183191ba211499fe', '969a6b7b65dd674f', '04534da81f43a7f3', '0c222b2b73873e81']; context = [[7, 43], [179, 217], [108, 142], [52, 84], [19, 52], [1, 33], [29, 62], [102, 131], [20, 49], [31, 66], [75, 105], [10, 40], [22, 57], [8, 37], [3, 41], [91, 127]]; loss = 0.025915 low_pass_filter = 0.300
+Epoch 0: | | 7819/? [1:15:30<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000,train step 7820; scene = ['ee7916d69154f3ed', 'f0a57ad32f7a615a', 'e6382809f20bc883', '2962373860639fa0', '8a1425c529010a20', '1a34d38778fc33e6', '2f9e585b65804e4f', '594a9f9c8b76d996', '4b4df0a0720dce99', '8aa87dbef45279df', 'bd16beec5b57de15', 'c0957c359b852c35', 'b918852a1561726c', '3b2d83497d98dc06', 'ef4731165c5ecb86', '4e6b3c33bd1b41ab']; context = [[65, 100], [0, 34], [40, 73], [106, 143], [49, 80], [188, 226], [13, 45], [61, 99], [12, 45], [36, 65], [22, 55], [151, 181], [86, 123], [175, 210], [26, 56], [11, 45]]; loss = 0.028309 low_pass_filter = 0.300
+Epoch 0: | | 7829/? [1:15:35<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000,train step 7830; scene = ['beca6316630c1e57', 'c4ac11db4065a715', 'ade8a86455248182', 'b67893ee6b828446', '68c242b83de652e9', '209340b412818760', '50f5f0c69d553bb4', '045934369f1fc08d', '0d036f88d76b0d2d', 'd26fdc78269b53b1', '2aa9e62630f3acee', 'b2dd9639336d0fd6', '2051fd8a3c639b9e', '493ff377d55d79fd', '524457903526954d', '0f01b8eebfadbfe0']; context = [[16, 52], [21, 57], [41, 71], [45, 82], [2, 38], [20, 51], [11, 43], [36, 72], [68, 102], [48, 78], [91, 128], [13, 48], [7, 42], [15, 44], [29, 61], [27, 59]]; loss = 0.026756 low_pass_filter = 0.300
+Epoch 0: | | 7839/? [1:15:41<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000,train step 7840; scene = ['84c1605e1b0fd544', 'cc089cd07b364bb2', 'f1f75b1ccbb7cd62', '6f5dadb86bb15604', '184b7d143f36c10e', '383eef6f20986610', '460e5799fd3f2446', '037e13cd4894ab2a', '5a04796cace71282', '7ceccbd59af6b957', '078801ae3578e3e4', '62eba2b87c032f2b', '5023f8d6088de9ce', '76d19f39d78b5460', '019c3a53ef793463', '353c419b18f685b9']; context = [[80, 116], [36, 74], [13, 47], [22, 60], [20, 53], [13, 43], [12, 49], [6, 37], [8, 41], [5, 37], [61, 99], [0, 35], [15, 52], [50, 87], [0, 37], [56, 92]]; loss = 0.027606 low_pass_filter = 0.300
+Epoch 0: | | 7849/? [1:15:46<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000,train step 7850; scene = ['fc2174569e7d2cf8', 'db8076a9bbb03e9e', '2771e4e5791527b6', '38464696d7b9cebe', '8743d6f5a3c7d7d4', '009f6e6c5aea0441', 'c4ffdc6886c6cb9b', '0350c9c065456337', '0db598812d56c68a', 'a8fa2b6540bb21a0', 'da6bfbd9e35142fc', '2dce89a97b7df3f4', 'f7bb1f4325835c79', 'df8de2e508f40cc1', 'b3019d4573e524f7', '4a756a58d9ec5d9e']; context = [[10, 43], [49, 82], [0, 32], [102, 137], [134, 169], [40, 73], [129, 161], [69, 102], [80, 109], [31, 65], [11, 48], [192, 223], [6, 42], [0, 32], [24, 57], [7, 44]]; loss = 0.030625 low_pass_filter = 0.300
+Epoch 0: | | 7859/? [1:15:52<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 7860; scene = ['c6142db747f2522e', '4fb5a592fc910ab4', '4c35cb67a64f2d48', 'cde915e016c23002', 'efa2398f2080df3a', '85dee45f94a95c17', '48c1000f6da27a64', '5ea49c4330735de6', 'a1919a3be0610041', '08b2797d44c46c4b', '6e18ee33a66f3d17', '887c0ef17477aa42', '88a941781cc6df36', '4364178b0f95b1b1', '3a1bbab383b6d2c1', '6014149afc820ee7']; context = [[9, 44], [28, 58], [72, 105], [125, 161], [1, 33], [7, 41], [56, 87], [185, 215], [110, 141], [6, 36], [181, 213], [71, 106], [29, 58], [219, 255], [122, 156], [123, 152]]; loss = 0.024056 low_pass_filter = 0.300
+Epoch 0: | | 7869/? [1:15:58<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 7870; scene = ['626e0f8b72846b6a', '0ff38ea0661369bd', '5f2e62b6917bab16', '1c0829e90380c26f', '9261780ce2ed716b', '50c3162fc29561b4', '1d19fcf1fcbfe3bf', 'b531cda2072028fb', 'f2b30a3f90bd17c2', '1a09290ef2933466', '0c6d43589658b86a', '27dd186ef87e4550', 'ee18efbe4a7eb53b', 'b348801a033b5ef5', 'a1b92e4df90f8df9', '46f21028ead1ebce']; context = [[5, 40], [11, 49], [15, 45], [14, 48], [1, 37], [5, 43], [40, 78], [170, 208], [65, 96], [50, 86], [28, 66], [68, 97], [88, 118], [47, 84], [0, 38], [1, 32]]; loss = 0.025527 low_pass_filter = 0.300
+Epoch 0: | | 7879/? [1:16:03<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 7880; scene = ['e2fa22c843ad3925', 'ff851fc7ca0be611', '6a39adec2fbbfc65', 'c37ab28939776122', 'ad0c472a7098fefa', '1706984ae313246c', '760be559ffae409a', '6a12202c0ae9922d', '612fda0cd3a9c671', '2c50c042a0695e1f', '8a4184299dfdc112', 'f7367cd6a5abce2f', '9d6a76da27e26178', '6d252b311034447b', 'a9b3f434c7a74a40', 'a1c2f356dd11424b']; context = [[118, 151], [163, 195], [28, 65], [17, 54], [36, 70], [15, 48], [25, 62], [51, 87], [3, 37], [58, 87], [8, 45], [69, 100], [44, 74], [4, 39], [8, 37], [9, 47]]; loss = 0.027581 low_pass_filter = 0.300
+Epoch 0: | | 7889/? [1:16:09<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 7890; scene = ['863f3e91a241f8e0', 'e72cb89e98c183b3', '7bddc26793e9e69b', 'c0377f906e517cf0', '873e1ebab2825e24', 'cb2ba9b4d720bb40', 'd7650f11e8692353', '4bc8b97604a22e4c', '385784497d18f169', '2b65b6494d46a43e', 'a8fb1daba5f8e45f', '6ab6e123d49043d9', '5c1f54b5fda084e4', '36e587818fe6061f', '313288acdca6b841', '8a243c9083a69e70']; context = [[30, 60], [75, 108], [42, 77], [12, 49], [25, 56], [38, 71], [7, 37], [14, 45], [64, 94], [55, 84], [19, 56], [155, 192], [104, 141], [2, 33], [101, 133], [59, 89]]; loss = 0.026240 low_pass_filter = 0.300
+Epoch 0: | | 7899/? [1:16:14<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 7900; scene = ['bbc09418541d0ccb', '9aacdb837e01170f', 'da458b177cc5b2a0', 'e246fc179798ef43', '348f41557b28f27c', 'f5a173954e586775', '7157599e110e23d1', 'ae468714e3fa31b3', '8c511adfe1edf981', '5e00fe8ddb44c346', '1caeaf11a6686a6c', '4c4fb804144e8cc0', '6d5b5729fd856041', 'feeef6e1343ba933', '6918eddc5ff5ced2', '8acbada3de9d0256']; context = [[36, 71], [171, 204], [25, 62], [22, 55], [56, 88], [31, 68], [9, 38], [65, 99], [43, 74], [15, 49], [68, 100], [45, 82], [52, 86], [39, 68], [0, 29], [164, 195]]; loss = 0.025711 low_pass_filter = 0.300
+Epoch 0: | | 7909/? [1:16:20<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 7910; scene = ['ab1c5358d3bb05db', '120391d54ad880a1', 'a7b3b1f8ad45f902', '113a7c672823203b', '9d0bfbe5b7f98545', '9dc164828900c1a5', '4373673ff80633f6', 'b833a0a3ddf1f7cd', 'a459b15b2cf89adb', '411df8d0b3faa181', '5664d39ad0f1b834', '7047779507704deb', '64e8412241a50000', '8d1ebdfc75514a26', 'df37c720c410db30', '15a03fac30b07ec8']; context = [[34, 68], [136, 170], [12, 41], [20, 50], [30, 65], [2, 36], [12, 41], [11, 40], [121, 154], [185, 223], [94, 129], [45, 78], [29, 66], [145, 178], [28, 58], [10, 42]]; loss = 0.031732 low_pass_filter = 0.300
+Epoch 0: | | 7919/? [1:16:26<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 7920; scene = ['130096860e9d4ef7', '98a1924100186241', '1c32325abe22ac6f', 'bfaddc0e4ccfe12d', '8897ca4aaa904a14', 'c7329bdb7df9f49e', 'e310d39b3b13542e', 'e83f2a56d8c098e2', 'd426c64fa2b71ff8', 'ad6382d589e53358', '28d2f24cc7e2fccb', 'd68565483c9b4696', 'f47ce554c1100cc0', '12e15379b5d12957', '763527b7ef5f0329', '2b5e6d0ebc0b794d']; context = [[112, 148], [36, 71], [19, 57], [202, 239], [19, 48], [40, 74], [17, 52], [79, 113], [2, 32], [12, 49], [34, 67], [34, 66], [108, 144], [23, 60], [37, 73], [32, 69]]; loss = 0.029572 low_pass_filter = 0.300
+Epoch 0: | | 7929/? [1:16:32<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 7930; scene = ['0ddbd037f8183e3a', '590fb5ac33ed6860', '798d4e7752255a53', 'd6d2b9231c14b140', 'd34adbecbd9fc68e', '39ff492c91df61da', '19f4d7a017c190a5', '0c45294e8621d56f', '1d470a9e42d084dd', '2ca280b29aa6153b', 'bcac3f59c3e19933', 'e590f3ea901f5d4f', '3c6965a731d2629c', 'b08656a13f10d261', 'a158e8ef80e7d2d9', '3fd2fbeaa6f74d73']; context = [[59, 93], [36, 65], [40, 75], [33, 68], [181, 219], [48, 84], [24, 59], [53, 88], [40, 76], [117, 147], [55, 93], [240, 271], [107, 142], [142, 172], [39, 76], [96, 132]]; loss = 0.023767 low_pass_filter = 0.300
+Epoch 0: | | 7939/? [1:16:37<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 7940; scene = ['9d5bedf2d85ca0b9', '1a4c46c32d5e962b', '8d6ceef8cd44e71e', 'e95687cad1947692', '30b14b9792ff70b9', 'a7f0cc76ac6738a0', '3fa7e46f69f63e82', '8705a0db1225c81b', 'd0cb1bb9d6b7b354', '0946f45440ad5b0f', 'ec25ff20b657f248', '9ed1d7c9ed46065c', '9301f8a1c7812f16', 'e7df13eca6bc6264', '1ab78e27aca2d344', 'a95046148af8e606']; context = [[49, 87], [109, 140], [30, 61], [21, 57], [24, 58], [4, 37], [22, 60], [85, 118], [60, 98], [48, 81], [28, 60], [18, 51], [35, 70], [29, 64], [96, 134], [160, 194]]; loss = 0.024324 low_pass_filter = 0.300
+Epoch 0: | | 7949/? [1:16:43<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000,train step 7950; scene = ['0e0fc78c17784636', '58dadf996a8bbaa5', '293427f95fdca384', 'd58601f62cc5e1d1', '9da6aaea2fac36a1', 'ce4dc15358ce3325', '6b5e1b730536147f', 'd0fbfb3d543e1b63', '3998d92fb5657954', '08fb209705cee001', '26530daa4809c963', 'e7ac00fe81e73794', 'e52e292fe14e6f5e', 'de9e18e33f28f47d', '041619ff29c07a62', '530e301346b04ad9']; context = [[30, 68], [25, 55], [29, 64], [83, 117], [101, 134], [24, 56], [25, 57], [92, 130], [34, 66], [22, 60], [62, 93], [7, 36], [1, 31], [39, 70], [53, 85], [16, 53]]; loss = 0.024699 low_pass_filter = 0.300
+Epoch 0: | | 7959/? [1:16:48<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 7960; scene = ['c2ac8ef4459af817', '1ef0cba4ecae4ed7', 'bb871f57112086a2', '08f55e581d3ff038', 'fee2852411318e54', '71911b4af12b9a16', '305999e29713a998', 'e63caff82406317d', '0fca31f2dbbd79b5', 'f585524ad6786b54', '8722a564706e204b', 'd98e4f128e4fcce0', 'e60d3c2cbe8722dd', '4b641eaaec862d77', '03c56cb029f69054', '1c6cd511b66d9444']; context = [[10, 42], [2, 39], [75, 108], [69, 106], [3, 34], [40, 70], [106, 143], [34, 68], [26, 59], [13, 50], [4, 41], [137, 169], [7, 43], [48, 86], [3, 37], [65, 95]]; loss = 0.037917 low_pass_filter = 0.300
+Epoch 0: | | 7969/? [1:16:54<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 7970; scene = ['c3d7c6b0a2f4961d', '0e53f99fe63ee8f2', '77c48da8f803ebce', '28b23bd8cc4b5cc9', '133d554395e41eaa', '5c6f91cf582708ed', 'b33a29e1340cb581', 'c1853d5840938ce4', 'ca2fe8b44e617133', 'e2dcc1004ef5eb8c', 'e513de8cae71180e', 'e5dca5e8131acc0d', '9531cb66276b6a53', '1287386498681744', 'f7e30aedb1da3cb0', '913fb4d757212f2d']; context = [[165, 201], [55, 86], [27, 56], [95, 128], [30, 65], [46, 78], [35, 65], [25, 56], [87, 120], [161, 196], [63, 97], [197, 232], [13, 50], [1, 33], [6, 42], [213, 251]]; loss = 0.028396 low_pass_filter = 0.300
+Epoch 0: | | 7979/? [1:16:59<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 7980; scene = ['47fe424d80ea8a47', 'e4007568f51e07ce', 'd69433dbc6bfb765', '52cc0ae108971258', '8a4818ab2308dba5', '103c2dde2e2e56b1', 'f2ace6b12f29587e', '21c0cc347df4c83d', '17989de9b9ca9ae2', '10219e288c518e3d', '806f9eb285547909', 'fae981bbe8912437', '140474b28c00f36c', '376d3eb76eb43baa', '61b2a1afc5fd5ffb', '90ae0834ac62a1d3']; context = [[18, 49], [165, 198], [42, 76], [109, 147], [4, 41], [90, 119], [100, 135], [216, 245], [31, 66], [92, 127], [125, 162], [40, 70], [19, 54], [68, 101], [38, 72], [99, 133]]; loss = 0.026375 low_pass_filter = 0.300
+Epoch 0: | | 7989/? [1:17:05<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 7990; scene = ['05c99e2ea92b8896', '90e0d93ea176275f', '61a4ef1d0a38d05a', '1e9311bf323b59b6', 'f33a3190b251b1cd', 'ae921cd4da162740', '4b44c69940828bb3', '2e887f0103cfe378', '033c76a9906e82b7', '46a475daa238ceaf', 'c54fe1ba08b7ab80', '8eeeb4da9f352048', '3bf978b258b8305f', '0dee4934bd1e8cb5', '825f5fc21ea780cf', 'e003c7d69b73e632']; context = [[208, 237], [3, 38], [33, 68], [108, 138], [136, 173], [48, 81], [44, 76], [38, 74], [61, 97], [144, 182], [17, 50], [85, 116], [134, 165], [65, 98], [0, 33], [97, 133]]; loss = 0.021857 low_pass_filter = 0.300
+Epoch 0: | | 7999/? [1:17:11<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 8000; scene = ['381f5d2faf3db200', 'cf899a800d9f45d6', '9e211976287db6cf', 'e627744abf86f4c4', '0847dfebcaac2e4a', '8caf2f657e541fd0', '8d402b322bee0fa8', '274c28b73e9d8df2', '2b5a333d84c3b569', '017e1523950d074b', '116422fe7641cdd0', '0bbbc650e13b9600', 'b2ef256ba056dc78', '8886b6ef8b1d59ff', 'b9e116b141210ec3', 'b1f6069c3adc2edc']; context = [[32, 69], [11, 44], [0, 36], [37, 72], [16, 46], [74, 106], [146, 176], [29, 66], [34, 67], [2, 37], [43, 81], [149, 180], [13, 50], [20, 50], [209, 243], [94, 127]]; loss = 0.026297 low_pass_filter = 0.300
+Epoch 0: | | 8000/? [1:17:11<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,validation step 8000; scene = ['3b273cb40c55db95']; context = [[26, 57]]
+Epoch 0: | | 8009/? [1:17:17<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 8010; scene = ['94c1d9744c3d43d8', '8898e2a210362ba7', '1c920b38bd59f0a8', '85a1f78298042147', 'b972669c5c766b18', '499843fac38f02bf', 'c41ec7d3f062292f', '6512d658e8b42f9a', '401a8412c7de98a2', 'fa815bcdb9927d2f', 'f722d2ef78cc3c1d', 'a1ae89e690a4a7a3', '1255b860546789fa', '6434fa7bf139fd26', 'a80cb16e79664c79', '56d99f2651c2e40c']; context = [[3, 33], [10, 48], [35, 73], [87, 121], [29, 65], [0, 29], [197, 226], [21, 51], [6, 40], [10, 42], [17, 53], [233, 271], [87, 116], [16, 48], [63, 101], [38, 74]]; loss = 0.027806 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 8019/? [1:17:23<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 8020; scene = ['084ed51b011b232b', '950a3f958e452a47', 'e6269988e6e7b583', '1eb0b68d52e23d57', '5d0b51a45f86ebd2', '35102167538c5f58', '593cc5773eec2c7b', '9e6f67843e195ffa', 'fdaf02c09f947336', '222358b27c7498aa', 'c80291ff8936a10e', '07d62dd06d7d3b10', '6cd5b0c2949e17e4', '37e6ad4caa7f9e37', '3667c847c4f69add', 'd15af59d414280c5']; context = [[33, 63], [23, 52], [28, 64], [14, 52], [33, 71], [1, 34], [0, 32], [5, 39], [26, 55], [120, 153], [1, 38], [203, 241], [176, 210], [209, 241], [161, 199], [71, 105]]; loss = 0.028004 low_pass_filter = 0.300
+Epoch 0: | | 8029/? [1:17:28<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 8030; scene = ['d1c3b86e61e4b745', '543822331e271917', '15592e57716c6463', '0f249091b268d203', '89c3dc5c2b6ca1ab', '168efc21cebfe627', 'cc646759aa21e68a', '1b0e42c4f8fbb88d', 'ede486da04ebdc56', '106fe8209a72148a', '09e69ab157498eda', '1570f8996b68e773', '12eb580c576915d9', 'dbb2d61205f4bf8b', '9b4f66711630f639', '0fdd7c27785caedb']; context = [[61, 97], [4, 37], [9, 40], [42, 80], [45, 79], [57, 94], [1, 33], [3, 33], [10, 45], [191, 222], [81, 111], [46, 75], [115, 151], [4, 38], [164, 199], [6, 43]]; loss = 0.026840 low_pass_filter = 0.300
+Epoch 0: | | 8039/? [1:17:34<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 8040; scene = ['d60d506eb1bebd6a', 'd22a411f16fb174b', '9f70627c899ece10', 'cfbcac10ad390afe', '31007ddb2fbda4b2', '33d9c84df6285c81', '6a8068f17b4d5d50', 'd50d8151d95486fd', '22272b57c7a0c6d9', '52ece28e102eedc4', 'ae113e4479fd15b7', 'd8994dd6bafa0fa8', '4e071b367480ff56', '445575852ced8759', 'ad8b08f786657b96', '284eb50a660a09cc']; context = [[16, 53], [74, 112], [5, 36], [190, 222], [28, 58], [30, 67], [11, 46], [42, 76], [58, 91], [46, 76], [1, 34], [32, 66], [5, 40], [6, 37], [0, 33], [26, 59]]; loss = 0.028785 low_pass_filter = 0.300
+Epoch 0: | | 8049/? [1:17:40<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 8050; scene = ['31ae4a9d76a91174', '192c0569510eb6c8', 'f04736fbba8bf151', 'f3daa7d364f722c1', 'e807409c12d0d8c1', '5a1eeb8bec049de7', '11deb50de71ac927', '58a7d411c1fb25d2', 'd839e2f22436f6de', '237a036ffe6be614', 'ebd5e80138e74301', '5ea4cb2ff1498203', 'ba3f2372b7959e95', '3d88d591a0323964', '6601dce6f338cc1f', 'ac2d9614f41b610d']; context = [[23, 52], [9, 43], [4, 34], [11, 49], [0, 30], [107, 143], [125, 157], [31, 67], [25, 56], [28, 63], [71, 100], [54, 88], [40, 73], [121, 158], [37, 66], [12, 47]]; loss = 0.023391 low_pass_filter = 0.300
+Epoch 0: | | 8059/? [1:17:45<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 8060; scene = ['3b985e0ac53db7b5', '4b62d75032fde42a', '67a6d6dd4fe76aad', '5f90abeec03dbf0b', '2b4f68d46cb26a44', '0cc616dac37caabc', '4c7d379804ee1210', '43a0be8fe210881a', '0496bb7a63a6dfa0', 'c12eb1914cdc0045', '1e6939b3c332ae2d', '7d5581ffcd23ddc0', '6cbddaa6fed4b7fd', 'dad4c7a3ecb07b58', '89a30f540e35e364', 'bcde238614741b94']; context = [[94, 130], [35, 64], [10, 47], [50, 84], [101, 137], [80, 117], [104, 136], [11, 40], [96, 127], [112, 144], [16, 45], [4, 35], [7, 44], [11, 44], [208, 240], [65, 96]]; loss = 0.025452 low_pass_filter = 0.300
+Epoch 0: | | 8069/? [1:17:51<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 8070; scene = ['c9f0b268b1aa5e1a', 'dcd25be274f2d684', '9ad8c7f6b7e9e5e6', 'a34af0c26cb1ee8c', '5506f368be3afbdf', 'e97f1d7c3cabe2d9', '83186b2f2e346572', 'de566e560151f649', '3719de4d5af2ad59', '11ed0fd05908b46d', 'a350884f04cfd279', '0a5d6066cc56914f', '5cc61e57a10f59c0', '807b61d9c72e3a6b', 'c85d9c674f74bf29', 'a719195485c33105']; context = [[1, 32], [36, 69], [30, 67], [122, 157], [53, 82], [4, 39], [9, 39], [26, 56], [21, 54], [196, 227], [31, 69], [9, 45], [67, 100], [122, 153], [21, 50], [59, 94]]; loss = 0.032828 low_pass_filter = 0.300
+Epoch 0: | | 8079/? [1:17:56<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000,train step 8080; scene = ['4fce6c47c4c214d6', '28bb7b161e83ed60', 'aacccbcbc0722240', 'eb61796d301ac994', 'c62b839c1b99274d', '1c697e1b376ee31e', '2e9fd009632a1bf5', 'bd5ba9f0f035e654', 'ef6401c117a2701a', 'b8be0bf2cde5c194', '6047d6adad773c2d', '21d509dc6835618c', '71cc194ab57517b8', '9137204ba76b5bfd', '915b529e489a157e', 'e994872e832abcd6']; context = [[87, 123], [81, 112], [12, 49], [164, 196], [41, 71], [19, 52], [3, 41], [111, 142], [150, 182], [44, 74], [55, 93], [73, 102], [10, 40], [230, 259], [42, 79], [10, 40]]; loss = 0.025827 low_pass_filter = 0.300
+Epoch 0: | | 8089/? [1:18:02<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 8090; scene = ['4a60dd0dba6b7958', '71181bfc241bc4af', 'a5b8210a29efc76f', '67a3083b893c6f43', '15cec88d0617e1b3', '9f2afa78140b05d2', 'e46fc748af02d0cb', 'b65249520ff96b2c', 'fcce672b10166d4a', '9354ff6baa755906', 'b3b2dc251ff3547d', '32886e2643defd5a', '2d99d961724847c0', 'b0574143102f6cbf', '8c4605fbc6b018c1', 'd6846272dbb706aa']; context = [[32, 66], [210, 244], [15, 50], [193, 223], [31, 66], [93, 129], [36, 65], [208, 245], [48, 86], [243, 275], [32, 65], [132, 161], [30, 64], [84, 113], [96, 134], [40, 76]]; loss = 0.026663 low_pass_filter = 0.300
+Epoch 0: | | 8099/? [1:18:08<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000,train step 8100; scene = ['a37aad7a34d52099', 'f4fd1f92b1d1b842', '5be58e4d2ad059d0', '8034b7282e9b4f7c', '6a5376582bae4b9f', 'b57ab022d7aa874c', 'a6c196ca9b934080', 'c3dde969dc900399', 'efdc4b57e1fb7198', '9e633a922e716e6d', 'aa5bbea5a351866d', '05788765838c2adc', '1aa1bc85bad66297', 'f0bda6f91712fd5a', '699bc7dbd0bcdaec', '73b4f3120576ae0d']; context = [[77, 109], [65, 97], [3, 34], [115, 147], [19, 54], [73, 104], [2, 32], [36, 66], [41, 74], [8, 37], [128, 161], [16, 49], [19, 49], [45, 75], [14, 48], [26, 55]]; loss = 0.026006 low_pass_filter = 0.300
+Epoch 0: | | 8109/? [1:18:13<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 8110; scene = ['dd74dfd2c1d13252', 'a43bc11aa6cce69b', 'a28ad2d48bc4933e', 'f0a58c7d4fed3a88', 'd1076443c11000db', 'f605345740d176d0', 'd1a08683d05999ff', 'ea6695c6dc07a131', 'fa2decb2d4a10f6e', '6d0232cfe9cc7adc', '06d2876e8c40a3b6', '85756e711ab92320', 'b8ff56a0adb40c18', '0d2c4ce15a751f72', '46b9b3bb789aac30', '72a14401b43b8331']; context = [[1, 31], [143, 173], [26, 63], [107, 143], [73, 109], [120, 153], [118, 150], [46, 83], [0, 33], [162, 197], [25, 54], [110, 147], [111, 143], [86, 120], [18, 49], [66, 102]]; loss = 0.030228 low_pass_filter = 0.300
+Epoch 0: | | 8119/? [1:18:19<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 8120; scene = ['89c816fbd72e5b66', '96f60368d1159966', 'f5599ba8705ca849', '1c0d5ac17ebd0d80', '82336eca903b6e86', 'a3fbc85b34e4a1b5', '49dcd90538e31311', 'bd6d188f357d1766', '4a051ea24c91e7ef', 'ee93b843399c1cad', '19c3686f5a671538', 'ece60a1ad123cbb6', 'c13915920d8d98f2', '383f67cab19a1fa7', '949cb4aa319f9d4c', 'c1b2fc8f76c768e8']; context = [[98, 136], [119, 151], [17, 52], [4, 35], [35, 73], [45, 79], [90, 127], [91, 124], [3, 38], [26, 59], [69, 106], [158, 188], [21, 52], [170, 204], [111, 147], [55, 90]]; loss = 0.026723 low_pass_filter = 0.300
+Epoch 0: | | 8129/? [1:18:24<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 8130; scene = ['9e70ce8046bae357', 'b68f711961c5b877', '30d0ff523ab86200', '2ff4665e3133f176', '9a904a30f2c426c2', '34837d89d6d583ae', 'ce3a09ad86ee1755', '168d38dbb9d8d24c', 'e486f71687a461b4', '7bad8634f041892b', '4b16d5b9324bbd89', '34a98314ac2d7605', '0f319cb86270183c', '7a996c790caf8079', 'e62920482501bd3a', '85f6b47ab3b0d821']; context = [[22, 53], [3, 32], [60, 92], [60, 93], [44, 82], [132, 170], [4, 37], [7, 36], [51, 90], [31, 68], [56, 95], [39, 72], [29, 66], [11, 44], [203, 240], [93, 123]]; loss = 0.021500 low_pass_filter = 0.300
+Epoch 0: | | 8139/? [1:18:30<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 8140; scene = ['8fd75bd520e46b44', '40c0d605c4f8c69b', '512cd4ea0fef0198', '437474fa4196e1b7', 'af9d978c9fca5752', '0207b0ec0cc851f6', 'c46e81f142867e29', '1684dbfef3d182a9', '039b1dfb06179920', '08b847b675424659', '0d19a98df7f0d404', '6a10db1b9a53db71', 'da2afd41d40b5366', '90b054efa5dff38f', '79acb6327881e101', 'd7576649d0266727']; context = [[12, 41], [92, 130], [23, 62], [45, 77], [198, 233], [17, 48], [81, 116], [117, 148], [27, 63], [28, 58], [27, 66], [63, 98], [99, 129], [23, 55], [60, 97], [80, 112]]; loss = 0.027967 low_pass_filter = 0.300
+Epoch 0: | | 8149/? [1:18:36<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 8150; scene = ['93138f88c119600b', '638614ed5f3f85f4', '5f764e1ab65cc798', '294257960721b6f0', '14d2a9691dd8b061', '1c1c958dcc2f8449', 'd8d57e3bc65ad562', '720c20829e8facbc', 'b11c5d0cd9af5712', 'bfdad06e0239afbf', 'a00aab471e440a0e', '5264f09e7e3f043d', '9e2fb761ee03b905', '91641f310eabb26c', '691ed2f05b0eb140', '1e9228e6fd3f518f']; context = [[69, 100], [31, 70], [13, 49], [136, 169], [20, 49], [13, 44], [62, 94], [54, 87], [97, 135], [45, 76], [93, 131], [105, 142], [26, 61], [27, 60], [27, 60], [21, 53]]; loss = 0.025525 low_pass_filter = 0.300
+Epoch 0: | | 8159/? [1:18:41<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 8160; scene = ['7278dcd3b41b79ad', '34c96bdc74c6b6d8', '669607c93c7e99bf', '563ac18d3e49036f', 'a5d85a41a23dabd0', 'a4c54b44e8925978', 'd5d4754a622a8d8c', 'bb245e3f9206f612', '12903cdfe7b52d87', '5df213c50ee1cd88', 'eaecb3583a0e7681', '21d7dc078fd4db7b', '725f481fab8e2580', '386013ba48e47be6', '26e3fd38d25851df', 'd3d18ffce48db33a']; context = [[84, 114], [35, 71], [0, 33], [44, 75], [87, 124], [108, 140], [31, 62], [89, 122], [184, 220], [74, 106], [95, 125], [121, 155], [39, 72], [29, 58], [232, 266], [47, 83]]; loss = 0.028142 low_pass_filter = 0.300
+Epoch 0: | | 8169/? [1:18:47<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 8170; scene = ['2f3271a81eb248ba', 'f946d94d8adc2178', '68f71fd689a626df', '85024d10f37aa32d', 'd6056e0a258ed340', '6f952353cb855ac6', '73a2b9fea20570a8', '81f3520774d1a1c6', 'bf0451e853e8d2c8', '9316b3c04ae81baf', 'd526d6a1ae6b7aff', '84caf9b231f3bcdc', '715278508e2bb13c', '32aaa090d9131f32', '505f55a2e28cbe6a', '4eb4ba507316bd57']; context = [[91, 120], [201, 232], [143, 181], [10, 40], [9, 46], [17, 56], [4, 41], [5, 35], [187, 223], [49, 81], [33, 71], [61, 94], [58, 96], [39, 71], [37, 75], [167, 204]]; loss = 0.032522 low_pass_filter = 0.300
+Epoch 0: | | 8179/? [1:18:53<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 8180; scene = ['f70ad20529046f41', 'da0b21470c9520b7', '6a60ef9a8856cf5b', '78f54b16f8204c3a', 'cee46b2523a45a59', '31f279e32e497154', 'ab964b6b003ae5e8', 'd4ce31ac30a139fc', '4af74f4ff7c54a9b', 'b1473420a788c688', '3e5be575ccb0f6dc', 'dc077856d79ff04c', '0f8ad14bb4088d81', '4a43e0185c382de7', '3a192914348dbd61', 'ed2867040fbb2e30']; context = [[6, 36], [28, 64], [12, 42], [51, 84], [85, 124], [237, 276], [5, 34], [5, 37], [196, 229], [14, 48], [58, 97], [55, 90], [99, 135], [65, 97], [54, 83], [73, 110]]; loss = 0.025461 low_pass_filter = 0.300
+Epoch 0: | | 8189/? [1:18:58<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 8190; scene = ['fbae922ad64ca6f1', 'da593472b1bbbb15', '4ac2729ea26878fe', '516b59544d9c9086', 'c90733af6a8fc29a', '41962a5fd8fca53a', 'cebe3be57fb380f1', 'fad5878d1b28ad75', '2a9d2b1f2454b39f', '4e1b2a3897227661', 'cd3a4584964695bc', 'fe9263e6769a380d', 'a474640fa724d913', '367f348575198f6a', '86456b2758a4e51f', '972b76d7f648aafb']; context = [[19, 51], [21, 59], [36, 66], [0, 31], [27, 63], [50, 85], [28, 67], [141, 179], [16, 49], [7, 45], [161, 198], [59, 93], [65, 98], [92, 127], [105, 134], [126, 159]]; loss = 0.024533 low_pass_filter = 0.300
+Epoch 0: | | 8199/? [1:19:04<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 8200; scene = ['b285d6a7c5aea376', 'ac9fb9fd9531fee4', '64d51eaea1b88d09', 'f46b51155952d618', '0b386825ee4147cd', '765564938726223e', 'cb2361e8fa21f3e6', 'bd7b99bedcc90f02', 'aa1426eb9d35b816', 'd3faa50b5e4fbd6e', '9b318860f17dd778', '60d5d520a12a9c50', '5f6ff1f6eeba6fcc', 'fa62d8d7320eba10', 'edfedbf216dffdf3', '889363eed9b13277']; context = [[24, 58], [70, 101], [48, 78], [1, 37], [4, 40], [15, 52], [59, 92], [24, 60], [55, 86], [96, 126], [98, 131], [22, 51], [0, 30], [1, 36], [22, 51], [131, 165]]; loss = 0.027846 low_pass_filter = 0.300
+Epoch 0: | | 8209/? [1:19:10<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 8210; scene = ['174885a022d76f49', 'ede200d8e3ed570b', '167a46f4392398b0', 'a508ec7fbde00d1a', '0936ae04b1b95f1f', '85e226223d1d045b', 'e85b9794f297353a', '032c591bb9c0ab2c', '53fd05a1f24da0b6', '2bbb6e260fff96b7', '4d352f1f3d457919', 'd5aff3e2db5ebab3', 'df80779cfff33170', '3bba0108a8b9f52d', '765456b88d5e4d4a', '75fd40cc39e77301']; context = [[62, 92], [139, 177], [19, 58], [7, 42], [46, 85], [174, 213], [96, 125], [5, 43], [4, 42], [41, 75], [53, 86], [212, 251], [15, 53], [159, 198], [127, 162], [54, 85]]; loss = 0.022332 low_pass_filter = 0.300
+Epoch 0: | | 8219/? [1:19:15<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 8220; scene = ['239055404f75ffd1', '6e269cfbf064b6a5', 'ab1b7103448aee28', '70eb4cad799be058', 'c93de628c1738c30', '4e2914a72cd9a8d6', '3aa0715bf6cf2124', '41b6ede6065f2031', '73fe952b7aa424d0', '8b2bfaf797d1e11c', '6454b8eab0cfbd98', '994520585af6cd0b', '27f37406fe96b739', '5c76d38937c600b1', 'e90142433a6207a4', '09b119527170cd6f']; context = [[36, 67], [114, 148], [16, 50], [0, 31], [0, 29], [74, 113], [7, 36], [184, 216], [187, 219], [102, 133], [18, 49], [152, 185], [45, 77], [208, 241], [39, 68], [150, 186]]; loss = 0.027488 low_pass_filter = 0.300
+Epoch 0: | | 8229/? [1:19:21<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000,train step 8230; scene = ['a2dbfc443c201a0a', 'bcd7ca7e2fd57cc6', 'f12ad81cca298e1f', 'de50a9dcf012713e', '64b7578093d63639', 'd50e7c48f102d70e', 'e4e8abeacac64ee9', '49a315c35c0b6fb2', 'bbec698826707bcd', '0ba78320121c79fa', '4403da850780ce0c', '03bed910061fc9bb', '5523bd67a91e2849', 'b6ec05fb86c10376', '7442edc1ca4f1f8b', '849d398ea13dcd44']; context = [[93, 123], [79, 108], [211, 243], [87, 126], [51, 80], [48, 82], [202, 239], [0, 29], [45, 76], [2, 40], [28, 67], [59, 97], [8, 44], [44, 74], [1, 30], [1, 38]]; loss = 0.027884 low_pass_filter = 0.300
+Epoch 0: | | 8239/? [1:19:27<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 8240; scene = ['ac4bd0b601c3f8d9', '8994bd59d58edd41', '56387afc52492719', '393b76a89a628d99', '6476fd96cf74fd99', '3cf9a02bba6a972e', '70bbd64aade475a7', '3fc61f3ae37ef22e', 'df5e28115594b804', '59e6a4d39aff7400', '03815eea8ca6177d', 'aef0399ef65f8220', '9d3b42e3a01c7939', '60a97b36cd3bb5a8', 'fc7ddeeba1b5ae54', '56dfa6b3aac18a3f']; context = [[19, 52], [22, 61], [6, 41], [0, 34], [71, 107], [120, 153], [57, 91], [28, 60], [10, 48], [102, 131], [84, 116], [51, 80], [1, 31], [89, 123], [33, 68], [1, 39]]; loss = 0.027580 low_pass_filter = 0.300
+Epoch 0: | | 8249/? [1:19:32<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 8250; scene = ['a611f23daa8ebe85', '71cfdc10d5150a3d', '51c99c6fd15b519a', '1f3dae4428a8d9bc', 'c40133dd82bfbd0c', '67aae600f1bb228c', 'fa2ed612e4e4571a', '7c939df191bd83f6', '85ce26499fed5d09', '5b4a74b41fa843d6', '3e0937db6474b95a', 'd0d9bcb46b70df95', '9279e8c39cc97f61', '2687919de74c53e4', 'ae975ae41325f212', 'fb7e590e55d73d74']; context = [[31, 69], [3, 38], [72, 107], [0, 37], [82, 116], [5, 37], [20, 59], [21, 52], [53, 88], [39, 78], [6, 43], [52, 87], [6, 39], [78, 107], [22, 57], [38, 72]]; loss = 0.029198 low_pass_filter = 0.300
+Epoch 0: | | 8259/? [1:19:38<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 8260; scene = ['98aaef4ad2b17e8c', '80ba40b2def2070b', '051e7e9d9f7132e2', 'f8f835eee75cd945', 'd98902137d65fd46', 'ebfefe9f9b0f3e6e', 'e83b6e80a76b058c', 'f3ece616271df705', 'd1508c08633c0362', '875b2c0081eec492', 'c58fade4e0d7d3ef', '74ff55f4ab8a28ed', '67fc55236db23428', 'dbe109d71db070a7', '9de4a1a6942141b5', 'a12ff13668c46504']; context = [[17, 56], [48, 79], [3, 33], [28, 59], [41, 79], [160, 195], [39, 68], [4, 33], [41, 76], [40, 78], [27, 66], [41, 75], [4, 36], [2, 33], [0, 30], [1, 30]]; loss = 0.029148 low_pass_filter = 0.300
+Epoch 0: | | 8269/? [1:19:43<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 8270; scene = ['d358cb839f4c7497', '93b36a54151e085e', '67bd3eefd07e6042', 'e4774e728791dc20', 'a1d5d19d06c605ef', 'b7bd6d27ca23e643', 'bb921538d58b7231', 'e418773dd5f757ed', '710fcd11025c6ce5', 'cd69cde6b6bab65c', 'b0c97926eca1b63b', 'ff3eee34e57cf3e5', '7046980b0d3d3c63', '63c4a6e3f38760e2', 'c02870011a3c5afa', '2f2c4bd219a3c52e']; context = [[28, 65], [71, 109], [21, 50], [13, 49], [63, 102], [93, 123], [37, 71], [17, 47], [10, 43], [55, 86], [13, 50], [30, 61], [34, 71], [29, 61], [131, 167], [25, 56]]; loss = 0.024118 low_pass_filter = 0.300
+Epoch 0: | | 8279/? [1:19:49<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 8280; scene = ['17a95da0447e96a1', '3cef7244ef6f7a17', '65e77aed6557394c', 'bd988995a964b6f7', '6e95c51264f892f1', '2989152c23e49a7e', '89eeab7d2380f14b', '8b3b0dcb23b418cb', '58854da026faf774', 'e6ddcf41c3e4111a', 'eaa602e659251e06', 'a42225fe8b6d7e11', '6a74a5da896a6a82', 'b3d32ae703d1207b', 'c09fb55ba78f1a14', 'c7227c4814c49b1f']; context = [[42, 71], [68, 100], [3, 33], [63, 92], [35, 64], [24, 62], [15, 54], [15, 53], [59, 89], [68, 99], [68, 99], [5, 44], [0, 30], [27, 61], [8, 42], [123, 161]]; loss = 0.030522 low_pass_filter = 0.300
+Epoch 0: | | 8289/? [1:19:54<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 8290; scene = ['4d412ba977218397', '2f440b6ff635953a', '6b76cc89f4505af8', 'e51df845689c6cb9', '5fd925386deb1ba8', 'f22824c5468fb8c3', '28ab3a87b2f367a5', '92747265b0111abb', '465c5062754e3ca6', 'c93b45709f307e34', 'b52ac8e1e536022e', 'f5a466f01a58dd13', '21498fbe61ca3974', '873ef55396bb770f', 'd69dd8917d2e2142', 'e3d0cca5e61b6b3c']; context = [[196, 227], [73, 111], [11, 41], [1, 36], [140, 171], [117, 153], [69, 107], [171, 209], [1, 30], [98, 135], [57, 88], [39, 75], [50, 85], [0, 35], [25, 61], [16, 54]]; loss = 0.033065 low_pass_filter = 0.300
+Epoch 0: | | 8299/? [1:20:00<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 8300; scene = ['b953e33b08009f7d', 'fb1ea1bcbb11faa9', 'ffb6679f3ee529a8', 'b7b8b9f2fc98e45a', 'a2668a8ba41d7e28', 'ec6e7c0c29cccc86', '35d7cb99de8a808c', '53d9f23f88c4ad21', 'a43dcebff84ddba2', '14c16421c2e6fe49', 'ee3efd092ac5bbff', '229fba45626acb41', 'af252cc74ed0ae4c', '2c44579a8bd9c108', 'adc86f688406a0a7', '95db38a93027169e']; context = [[6, 38], [102, 140], [12, 47], [61, 95], [20, 51], [17, 50], [61, 97], [238, 275], [174, 213], [7, 40], [27, 62], [60, 95], [72, 103], [24, 60], [17, 48], [183, 217]]; loss = 0.026085 low_pass_filter = 0.300
+Epoch 0: | | 8309/? [1:20:06<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 8310; scene = ['e9b471036d4d32ee', '6539a1c57c640f9c', 'f5fd4c9ccb08fa6e', '1c2c01a428e98033', '91b147adad2393bb', 'ef5524c633cc7663', '2dc12db33c77f91e', '98f7a067bbb96008', 'de3ccf8d3c418bef', 'd12ccb9176baca06', '1e2c9a89cbf36161', 'aae2683fc18061b8', 'e942de9a7b77dc44', 'f8d7d5f83350ba50', 'de36333a5c68eb32', '51d68b77c408e914']; context = [[1, 37], [3, 37], [29, 62], [24, 62], [43, 75], [16, 47], [13, 52], [16, 53], [57, 88], [4, 38], [188, 218], [0, 29], [84, 123], [101, 140], [42, 71], [80, 112]]; loss = 0.121927 low_pass_filter = 0.300
+Epoch 0: | | 8319/? [1:20:11<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 8320; scene = ['886400696ccd9e2b', '5368642d202f62aa', '1e42a35775a7a420', 'f65b93b003d07fe4', '19cb93b1a26786d0', '6704cf19be80eaff', '514c58ca3d21cfeb', 'f7335129c21e0105', '208bc933986ed669', '23fb1b0d413e248a', '72d1db88ce59f38d', '5f13eff4b70d0486', '29deaf4adf22997a', '0f0010e7bd8b2bf2', 'dc8be8b9ce825070', '345430fd1625beac']; context = [[7, 39], [126, 155], [29, 59], [63, 98], [41, 73], [9, 39], [229, 265], [87, 123], [64, 96], [97, 133], [13, 46], [19, 58], [110, 146], [95, 127], [29, 63], [0, 36]]; loss = 0.026471 low_pass_filter = 0.300
+Epoch 0: | | 8329/? [1:20:17<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 8330; scene = ['5c30bf2887cf8546', '4b7a85a5ae42aa8a', '40b14e9ca06271a0', '9846c25ea4dc9cd1', 'fc02bddd09583f6f', 'ea1af0f111f0dec9', '377491fa91a751b3', 'f93c32b96db965cd', 'd07e2d916d33a212', '9c500c3d949c224e', '094e95643a9af0f3', 'd9fe6652451a430b', '785aae46f263749c', '81ad54d5ffb317b8', '556394920765324b', 'cef570ab285d57cd']; context = [[22, 55], [18, 54], [216, 249], [63, 99], [69, 99], [19, 49], [8, 47], [61, 98], [175, 204], [17, 48], [40, 75], [32, 64], [17, 52], [60, 97], [50, 80], [104, 140]]; loss = 0.023336 low_pass_filter = 0.300
+Epoch 0: | | 8339/? [1:20:22<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 8340; scene = ['6829cc07eb47cdea', 'b9d4445e5b8179a8', 'fec1b08babd84253', '73133fcc576a07c1', '2e6acc17d9b7c623', '30424882cc105c3f', 'e0cd677c6327d758', 'de279dc70da4eefb', '679f702bf4343e29', 'e338ac884c0b91fc', '669fcd58e1060f18', '4261b27934b455d6', '41e6df4d8033c126', '0856c1946c2ba29f', 'ca87754159d3beaa', 'd3b901b44e7ddb4e']; context = [[114, 148], [55, 88], [67, 96], [13, 52], [31, 62], [22, 51], [219, 252], [8, 41], [15, 44], [3, 38], [59, 92], [3, 34], [2, 32], [149, 185], [6, 45], [4, 41]]; loss = 0.022717 low_pass_filter = 0.300
+Epoch 0: | | 8349/? [1:20:28<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 8350; scene = ['af82c0de3fc9104a', 'e09c7a12828e1b49', 'dc5f38f005c3ebd6', 'ab8e80684547f15c', '52e49724622a5065', '59ee32c2dccc3dba', 'b210bb589468fb4d', '0ea8fcc06a4a9fcf', '5e89c7650c97cdf1', '08527853c5cf3f4d', '4d90373b73dfd8b4', '09e461e3fb6b0262', '9d11a876559d60e4', 'e61b99c29cdab09d', '86bf7fd206b26853', '1af60de5cf1e7263']; context = [[66, 102], [41, 76], [64, 102], [65, 97], [4, 41], [99, 137], [140, 169], [19, 54], [2, 35], [7, 37], [15, 46], [49, 83], [123, 161], [71, 101], [36, 67], [54, 93]]; loss = 0.024382 low_pass_filter = 0.300
+Epoch 0: | | 8359/? [1:20:33<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 8360; scene = ['9ffccde4a0d78f2e', '9531bbcacc25b355', '4b670fd16f86b860', '5932891d3ec96fc0', '69aa7fb3e30cb2ef', '4528921befeba748', '5a15bfa3cf370b32', '64b30e1b3108384e', '223d9839a448d851', 'c1992bb8b28bcc01', '2b6f17c36d275612', '1a464079ddbe1d59', 'ac922386da39b302', 'cc1515a91bc7b9f6', 'b662f354bb50dc53', 'af393f313dddf3eb']; context = [[72, 111], [65, 94], [67, 102], [14, 44], [90, 127], [135, 166], [20, 50], [191, 222], [85, 118], [37, 70], [26, 59], [26, 61], [74, 103], [118, 157], [22, 58], [48, 85]]; loss = 0.029192 low_pass_filter = 0.300
+Epoch 0: | | 8369/? [1:20:39<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 8370; scene = ['3c3f55a532fe87be', 'af56b0f58fe563a0', '1a328dfc961fb5df', 'bf8aa06772079ba3', '866e1164e81a9d4c', '9f0755d7d6eaed42', 'b7272c56b2582114', '34f4150ce050da75', 'd173fad8e92ec1e5', '4925526b9cdca49e', 'b8636f55127f4eba', '9d2cc67ce64e4e2c', 'e7f0fa81b6ac98e8', '3e96e8462ee68829', '7c20cad7daf39482', '3a4e68ab42275a98']; context = [[64, 99], [41, 70], [11, 44], [54, 85], [87, 124], [107, 146], [7, 43], [26, 64], [11, 46], [31, 60], [3, 32], [16, 52], [45, 78], [109, 143], [15, 46], [6, 39]]; loss = 0.027004 low_pass_filter = 0.300
+Epoch 0: | | 8379/? [1:20:45<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 8380; scene = ['9b7612cf5dd4b8c5', '2f2219164c52bbe0', '87e89709bc88630e', '5285baf2ba809bbf', '7a1781db0d9a2f70', '19b52ddc2c0b41e0', 'e741fa80ebe93837', '7a8d8426e0d1c1aa', '2ec8edfc07c8841f', '3ff8fdd10bb511c5', 'b18b0e59cc8d6d53', '2cb2d8255676e654', '9467c3431e0e586c', 'a2fe0ee3e737c073', 'ddfe9ba63e6d372a', 'bcb68900df3fb3c7']; context = [[37, 74], [3, 40], [30, 63], [43, 80], [92, 129], [1, 39], [19, 52], [41, 79], [23, 56], [6, 44], [56, 94], [22, 52], [100, 136], [12, 51], [74, 107], [14, 46]]; loss = 0.026297 low_pass_filter = 0.300
+Epoch 0: | | 8389/? [1:20:50<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 8390; scene = ['4cdd96efdc7dc8bd', 'c05232f7de8c5b71', '70e3d701fe2e7578', '07488c7551c1a967', '4602deeb27e9b472', 'e0f46f5b13a7737b', '22511038a50ecabb', '7113a6242fa0ecb9', '13f9eb4e79fd4def', 'b32553fa725be102', '3cb9e154ab207d2d', '705cf9f15387a607', '9f000e8e31dffe41', 'e9370c6c28b03fcc', '4c6da61393cd5e31', '40ae3dabcaef1d75']; context = [[43, 79], [11, 49], [235, 272], [56, 85], [12, 48], [162, 194], [57, 93], [32, 63], [104, 136], [13, 48], [108, 139], [46, 80], [27, 56], [0, 39], [35, 71], [36, 68]]; loss = 0.027269 low_pass_filter = 0.300
+Epoch 0: | | 8399/? [1:20:56<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 8400; scene = ['18c7bd9ae067b8a1', '342ec56496675cf1', '8e14947cbe7ba7b0', '9bc27ac0c6a08d7b', 'c114ed6df4bd952c', '3ff7bf5c384d3aa0', '1d650ffedafdcc1c', '49e1bbd1df636c6d', 'c2a67b75f0fb25e4', 'e25f8745858154b9', '2a473f826bb3cff9', '295a8bfe559a2f70', '3d529db8186deddd', '6b65db2a78a7dee4', 'ccac6d545bb86bcb', 'ce8c3847daad5128']; context = [[52, 82], [5, 42], [35, 64], [13, 50], [150, 187], [56, 85], [32, 61], [43, 77], [52, 86], [135, 169], [99, 134], [56, 90], [73, 102], [47, 83], [53, 84], [2, 34]]; loss = 0.027448 low_pass_filter = 0.300
+Epoch 0: | | 8409/? [1:21:01<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 8410; scene = ['e879fd1334ce447b', '55b7b2536c1b065d', '24ed37b61cfc7bda', '80fcb09bc1e09f71', '612162b515851e55', '28f09b5ab9c6c80b', '103050e319898fe8', '8794b542b373e060', 'df60735cc0b10f39', 'af71d7a4edf61c31', '5029f1582f41d2ba', '67c964e4dc73f102', 'df6f66c2da76a830', '361942c99f3909c9', '874c7c7206503fe1', '5620c7c979175826']; context = [[33, 69], [70, 100], [18, 55], [1, 36], [61, 93], [13, 52], [122, 151], [24, 55], [8, 45], [66, 96], [17, 52], [72, 110], [38, 67], [46, 78], [36, 66], [5, 44]]; loss = 0.028310 low_pass_filter = 0.300
+Epoch 0: | | 8419/? [1:21:07<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000,train step 8420; scene = ['5f44c9c88b73aa5a', 'a95691c28a8c28a3', '249adc3e479b28b9', 'e19f2bdf424cfcde', '9c2ec37ccb615cf9', '54cfdcc11f17f88a', '2f56fb1ce3c46045', '33ec2bc6fd434fe8', '11bdc79f5f3fe36a', '7da47581ea5a7b74', 'dc88bf46941dca99', '993c6c80f2eb7d43', '53700a49e8dbf513', 'adf73db30b5dc7ff', 'fe85b3be4adb42aa', 'de95779cdbeaa19a']; context = [[44, 73], [171, 210], [16, 55], [25, 62], [31, 62], [14, 49], [236, 270], [35, 66], [15, 54], [5, 37], [62, 93], [20, 55], [68, 98], [121, 158], [1, 30], [102, 137]]; loss = 0.025528 low_pass_filter = 0.300
+Epoch 0: | | 8429/? [1:21:13<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 8430; scene = ['c27226cd8e195456', '019c3a53ef793463', 'e76e794a0880ddc9', 'cc089cd07b364bb2', '078801ae3578e3e4', '5023f8d6088de9ce', '5a04796cace71282', 'af0488663f2fe222', '76d19f39d78b5460', '184b7d143f36c10e', '460e5799fd3f2446', '383eef6f20986610', 'f1f75b1ccbb7cd62', '5044cfc350b5a41e', '3e24795a6fc5d769', '32344ac2edb8421f']; context = [[43, 81], [4, 38], [20, 49], [33, 66], [66, 102], [1, 33], [36, 71], [73, 106], [73, 108], [61, 100], [13, 48], [11, 50], [13, 52], [4, 35], [124, 158], [213, 249]]; loss = 0.030251 low_pass_filter = 0.300
+Epoch 0: | | 8439/? [1:21:18<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 8440; scene = ['4aea074984e32122', '8e3551e8558f93d1', 'a3ccf323d5981df1', 'be22dc5d40ca5c8a', 'c4ff645e87ef2f34', '6a60ef9a8856cf5b', 'd133cdd425701549', 'f03ca1e834ef0916', '0ab90285e36a4be2', '027b06f2adc07dd3', '88c1a8123dd767c8', '67c35b36306c68e2', '3d486ee1ff467dd5', 'b6b16f654a4e6cd0', 'f2062a669b6b96da', 'f844b86541a57a24']; context = [[71, 106], [7, 38], [104, 136], [58, 97], [12, 45], [3, 32], [54, 88], [41, 73], [52, 86], [39, 73], [15, 44], [82, 113], [170, 208], [228, 257], [49, 86], [18, 47]]; loss = 0.025696 low_pass_filter = 0.300
+Epoch 0: | | 8449/? [1:21:24<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000,train step 8450; scene = ['044be76874e9fea9', '82379bb39a4af274', '9bcc2b1ebca560c9', '1ed3d476eb5d27f7', '6f89b004f29034b9', '04d0132f825b45cc', 'd9887cf1bdf5589a', 'cc9379471477aa68', '1f8af6d19b8dfcbc', 'eb6059040fefa2cf', '4e9d22f52c911e0e', '27df0115a09d7a8a', '481b7b29b87bf543', 'd5aeb9145e591071', '388f3f84cae62fff', 'dd16d8d3c1f7cafe']; context = [[60, 97], [168, 203], [48, 87], [12, 48], [98, 132], [2, 41], [213, 243], [0, 33], [147, 182], [3, 34], [62, 99], [23, 56], [4, 43], [57, 93], [105, 140], [183, 213]]; loss = 0.027501 low_pass_filter = 0.300
+Epoch 0: | | 8459/? [1:21:30<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 8460; scene = ['093a1513be64df04', '2a6c45965d00e73a', '36c270e51079b9f3', '1a62c49c1a96a7e4', '81d9a45e3752415c', '726ae1a792f76b49', '7b1ac0cfb99be277', '772542fd431e3a6d', '75c2593da6db5b51', 'd216bacfae811c2c', '70ab71f97fc208f0', 'a90f5bb46b54c08e', 'ef8606ff8897efac', '2b92610ff58808bb', '13ef0c5e67c66509', '28e258b928a85bf2']; context = [[61, 99], [14, 50], [30, 67], [3, 42], [44, 78], [16, 52], [152, 183], [36, 71], [48, 82], [203, 242], [52, 88], [37, 69], [31, 65], [33, 65], [91, 127], [57, 88]]; loss = 0.028342 low_pass_filter = 0.300
+Epoch 0: | | 8469/? [1:21:35<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 8470; scene = ['4347be2b5f4f0f0b', '28657804465f74a1', 'f34b1ae5f4330480', 'f5d4e372b5a8e9ea', '49d431e32d94fdb1', 'cbfea03456b032f5', 'c1c043c97a812132', '6be501e0866e8705', 'a4b92d5021ce2055', '9b7c4f425d7506ea', '655fa59106307162', 'bd19314de6a85643', '080a29d1bcce1ac4', '5c6c520eb4bad86e', '9c0a3d715a63397c', 'dc853fcfc392e661']; context = [[43, 74], [22, 54], [46, 79], [15, 52], [2, 39], [17, 53], [56, 91], [200, 235], [74, 110], [162, 197], [11, 40], [0, 39], [23, 62], [2, 33], [1, 40], [11, 44]]; loss = 0.022061 low_pass_filter = 0.300
+Epoch 0: | | 8479/? [1:21:41<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 8480; scene = ['51aea94c548a4495', '946597adeb926d39', '9ac09885529df79d', 'de783427084a7fc8', '79a763e5b64e4f45', '58e4213c6d697774', 'e3639c957bbed059', '7b88deac3cc4f5c4', '6f23f69c381954e4', '5dc6293c22fc8e52', 'dbe4da0a280fa5c1', 'b0ec78933f7b7320', '1520b2140fdb58a5', '0b3211726fbabaa7', '9a26558db223b906', '2702020b31c28210']; context = [[10, 47], [23, 55], [5, 34], [46, 78], [29, 62], [21, 53], [7, 44], [33, 62], [117, 155], [0, 36], [26, 61], [6, 43], [116, 148], [15, 50], [10, 39], [77, 110]]; loss = 0.024946 low_pass_filter = 0.300
+Epoch 0: | | 8489/? [1:21:46<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 8490; scene = ['3d91b43e1a09c619', '7f42a24413a95630', 'cd2529997d3ef9fa', '34efaf4f55a91b71', 'd036f6f2ad1e3e8a', 'd9a5d625a7e07b16', '6d254603864653d0', 'c1575fdf39330878', '073b157ef9c22ce8', '2687bc1e51a4e36d', '8ead427494d4082a', 'cc155e5c5b49b6f8', '43b7abf89a494856', 'c9e4480bbfb4e0db', 'a0bb4a665ee9fd46', '3c6f08385f14dcef']; context = [[107, 139], [13, 42], [5, 35], [24, 56], [241, 276], [62, 97], [9, 39], [4, 34], [45, 74], [27, 63], [76, 105], [39, 78], [75, 110], [217, 256], [1, 36], [4, 38]]; loss = 0.026266 low_pass_filter = 0.300
+Epoch 0: | | 8499/? [1:21:52<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000,train step 8500; scene = ['d85fc004f78d82fa', 'd8b09b24377b1425', '20a7799abd66e4b6', '0e9a747769b52c1d', '6df10a21f6199b47', '191c72150925a58d', 'e0918abe230077db', '9e544dabc36a0ab8', '9dc9f592967c0765', 'e7344d391585afd6', '431adcc96d3e7f9b', 'd7b8aa8b102928ff', '09d8152f20999cdf', '9c016698821f4400', 'f7de70fa3e0888e4', '14cb1caa8f185f3c']; context = [[3, 32], [88, 118], [6, 43], [79, 115], [186, 225], [149, 180], [50, 85], [68, 100], [16, 45], [25, 62], [62, 92], [57, 94], [13, 48], [16, 46], [1, 31], [19, 49]]; loss = 0.025979 low_pass_filter = 0.300
+Epoch 0: | | 8509/? [1:21:58<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 8510; scene = ['63702aea7be831a2', '5882b67722118f17', 'bc51d02a05fce838', 'e52bb29b8c03f39e', '7e39fdb0eefece03', '687b773cc20cf2ee', '3bdf8df6c39efd67', '2369b06fbf07fe26', '9c41777f108288ed', '67642ba9afa1b1cf', '40aa327f7c331a8e', '8a6f058ea1b60e96', '94dd8d7a35b6c349', '5994a80afa6ef0fe', '5cf8295fdd4dc705', '1af662fed8048551']; context = [[41, 73], [56, 89], [27, 61], [26, 60], [46, 81], [55, 86], [59, 93], [3, 32], [94, 124], [46, 76], [33, 70], [92, 125], [36, 75], [50, 80], [14, 53], [110, 146]]; loss = 0.028634 low_pass_filter = 0.300
+Epoch 0: | | 8519/? [1:22:03<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000,train step 8520; scene = ['e9a63888908fd0b0', '3357bebb6fa1b56b', 'e6d2e92f0f973aa2', 'cc41c29a1db57601', '2bf6e42939188e55', '704fec051b7efd3b', 'd82e16508ecb77ca', '1b8238f8057a7975', 'f3aa0ec643511c42', 'da26227aa947976d', '8303b179d7df86cf', '6995e4ffc88abd8f', '5939edbca11302e8', '99cbd88e83b13402', '1572c4a6a6b91f35', '935f4b6c00b58135']; context = [[42, 76], [71, 102], [3, 39], [32, 62], [23, 58], [48, 84], [138, 168], [67, 96], [0, 32], [12, 50], [36, 71], [189, 224], [4, 36], [29, 61], [17, 54], [27, 63]]; loss = 0.026500 low_pass_filter = 0.300
+Epoch 0: | | 8529/? [1:22:09<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 8530; scene = ['f11dbe2f4715374a', '179df99f00f05473', '71957e818c5447d3', '3e4cf3c544701784', '87b0132f747a2e25', 'c9c5b6a222e95638', 'd2fc8bb1e626f266', '13efef8e53154b7e', '5f599b35b87b30ab', '3dcc869dac9f202f', '843fe83814b8012d', 'e952c4a90e3e9b1a', 'd6625cb538e7f064', 'e39c2ef3bbecc385', 'f3663bd0444d3f5e', 'ff68f1639ba712aa']; context = [[4, 43], [2, 36], [196, 234], [9, 44], [1, 31], [32, 67], [15, 53], [30, 64], [31, 70], [24, 58], [146, 177], [54, 91], [17, 55], [27, 66], [14, 48], [230, 263]]; loss = 0.025725 low_pass_filter = 0.300
+Epoch 0: | | 8539/? [1:22:14<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 8540; scene = ['701c95afe128e0d0', '997656bdb430ad43', 'fda481eb3ffc890e', '4c952c27612a3ac7', '521aa01f117a1f3d', 'a24b9835a33fb46e', '009e573e59c8c393', '4986da6c3f01c2bb', 'b6f9cfe435a0fde7', '892585c2be9f3f74', '25c60ef8ca347ede', '57a8005cadd17369', '33733a6eb9850264', '8bf7fd2a9cdd4b00', 'e3ab34faf834f40f', 'aa8b1fef3bd5f143']; context = [[43, 80], [27, 64], [58, 97], [17, 50], [61, 97], [76, 106], [17, 55], [23, 62], [20, 57], [82, 116], [36, 67], [109, 141], [40, 76], [192, 225], [11, 50], [5, 39]]; loss = 0.028109 low_pass_filter = 0.300
+Epoch 0: | | 8549/? [1:22:20<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000,train step 8550; scene = ['1f76a27914c5ceb5', 'e33eccad78073ab2', '8a405f69466ad025', '5f25ec2442e46bad', '4bda601d846a36ae', 'c72ac889a80127fb', '9fcc33efe22e628d', '5eb8ab1a5606bfaa', '346eeacde06e985d', '8edd698ce5488c71', '503fc5f0776ca765', 'eaf0ed1633d82698', '209cac34fadd4599', '6d810108226870b2', 'd25c3b30b8fbece8', 'd9d0ec7991343291']; context = [[13, 43], [53, 86], [31, 65], [179, 213], [6, 40], [0, 32], [153, 191], [5, 36], [18, 50], [68, 106], [13, 46], [52, 86], [64, 93], [52, 82], [72, 105], [14, 48]]; loss = 0.025243 low_pass_filter = 0.300
+Epoch 0: | | 8559/? [1:22:26<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000,train step 8560; scene = ['1bfa2ca0d1b8f922', 'fe1e39063abd5205', 'cabfbc465785b68f', '0374efa8281afb1d', '389aa4307dffc08e', '122b005562bd0201', '3a6669692b24830f', '44e74bca2b98db51', 'b9ee83bd3edf87c1', '97b70b6070a49659', 'b7c55a4c45537ffc', 'e9244576811181ef', '02c7e033bd44069c', '8aaacc30c07b6f3c', '157b1fc090e06cb2', '575bb0dab86f4997']; context = [[26, 59], [38, 74], [25, 61], [69, 106], [27, 64], [96, 128], [46, 78], [104, 136], [26, 63], [42, 72], [36, 71], [116, 151], [52, 90], [5, 36], [55, 90], [81, 110]]; loss = 0.026197 low_pass_filter = 0.300
+Epoch 0: | | 8569/? [1:22:31<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 8570; scene = ['8d18068943ed83fe', '53205553570d4022', '6072dafd0842b0d6', '13ac6d45d3fbe4c6', 'd5edbc5ddd413c28', '885b71ed4b30120e', 'fc9773ef0faebe3a', 'ffa777f96b50f0be', 'b0514dc5e920349d', '84f2ac1701f3f5d8', '0c30cc66e004912a', 'fc15fd0a7d1bd1b2', 'fb56af60d6f44825', 'bf9a4b1f7627c273', '4b6452c634b79f57', '41868518745c4b75']; context = [[1, 33], [37, 73], [145, 177], [5, 44], [8, 39], [25, 61], [3, 34], [36, 66], [49, 83], [0, 31], [22, 58], [46, 78], [51, 83], [0, 37], [12, 44], [10, 40]]; loss = 0.029593 low_pass_filter = 0.300
+Epoch 0: | | 8579/? [1:22:37<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 8580; scene = ['2cd12500e4a796bf', 'dea99f78e85d0c68', '3b1f961282084e9a', 'f1f2e1670095235f', 'eb995245e27d4501', '7766ed41dc09a8bc', '25896ac236016963', '1dc75a3b92202382', '3e4cc481bf540f72', '827d4df83d6c97d9', 'ae1c6669eff757fe', '6347dab2e71b8e3d', 'b0e45d1fd8db5ba7', 'e0106272b4009cfc', 'c818ac62ef056771', 'dd4fa5f6bab88faa']; context = [[16, 52], [7, 37], [0, 33], [73, 104], [29, 61], [3, 37], [154, 191], [47, 77], [121, 156], [58, 96], [70, 102], [75, 108], [20, 54], [60, 96], [8, 46], [12, 49]]; loss = 0.024088 low_pass_filter = 0.300
+Epoch 0: | | 8589/? [1:22:42<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 8590; scene = ['b435124e91d094fe', '78e2ec35addd48ee', '0fe7bb34bc1ce614', '9cbbbe528c9bc4cc', '8ff4d18f3c87a4cd', '1afb4bb3fb1defc6', '0672e7f9286387ce', '2a6a97f480e33a22', '349a04a39ce0fcbe', 'e6ff9a7042671971', 'e667c12e5d57eadf', 'b6c073fe5209ad3d', 'f94107ff62ee28f1', '0ab41923a82fbefc', 'f2feba8931477baa', 'd2b1e757b2e26c24']; context = [[134, 170], [4, 34], [32, 62], [4, 38], [66, 99], [149, 185], [24, 60], [67, 104], [29, 60], [4, 38], [170, 203], [46, 77], [76, 105], [204, 234], [6, 41], [101, 138]]; loss = 0.026251 low_pass_filter = 0.300
+Epoch 0: | | 8599/? [1:22:48<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000,train step 8600; scene = ['6f33727dde219eeb', 'a401eb9a7a7f6cf8', '3050eeed73b3f05e', '4227c1d0a1dd9baa', 'aa0ff918b038d91e', '6892b104de38e4be', '88fa6b179e0e636d', '7d766acd76fa33cd', 'db16e3664e35a69f', '797770d8e1ede818', '639a0ec83f9265e8', '3a6c31f22c6d901f', '471aaf02cb038426', 'f90b88c676fc3cf7', '38dc2a81c81dd0b4', '0eaf6e29821866d1']; context = [[74, 105], [219, 248], [127, 165], [19, 54], [59, 91], [13, 43], [17, 48], [0, 30], [31, 60], [200, 239], [136, 172], [8, 38], [199, 230], [190, 226], [5, 39], [75, 107]]; loss = 0.023903 low_pass_filter = 0.300
+Epoch 0: | | 8609/? [1:22:54<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 8610; scene = ['1a1ec38c2a2470d7', '66c1b0d5b4cc4414', '20df3685d7dc078d', '3c0075229388998e', 'f2062a669b6b96da', '34ad016433539901', 'f844b86541a57a24', 'b6b16f654a4e6cd0', '027b06f2adc07dd3', 'cf405ec77c7eba05', '67c35b36306c68e2', '0ab90285e36a4be2', 'f03ca1e834ef0916', '6e65147c92d59d3c', '88c1a8123dd767c8', '3d486ee1ff467dd5']; context = [[0, 37], [26, 57], [24, 55], [14, 47], [75, 114], [5, 43], [18, 51], [208, 246], [12, 47], [14, 44], [76, 115], [70, 104], [15, 45], [103, 142], [56, 86], [116, 151]]; loss = 0.028057 low_pass_filter = 0.300
+Epoch 0: | | 8619/? [1:22:59<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 8620; scene = ['a53b3507bd229a7d', 'ac5a9a8b66d7c17b', '5919c331ff928c43', '22824fe5bc5f6238', '4363c1bb298aebea', 'c23e6554589887b7', '0aec565990f1c9e2', 'bcab9ccd8d577457', '4fb7f3479bf5f793', '99fe17374703a753', 'cae40361e606dce5', '71db40fac95086cb', '21f3bdc243b3f6d9', '7a7df9c63b3e71b6', 'a76c6ce5d65d203e', 'f5f68ef105502df8']; context = [[170, 206], [42, 75], [157, 188], [2, 35], [7, 40], [42, 81], [62, 91], [64, 96], [13, 46], [31, 68], [1, 32], [110, 139], [101, 138], [16, 49], [16, 49], [15, 54]]; loss = 0.023412 low_pass_filter = 0.300
+Epoch 0: | | 8629/? [1:23:05<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 8630; scene = ['c90a1b6872dec9f3', '3f96f1eace6d5d75', '509f8d933a7dbc98', '150f77d98473b3b7', '9abcabcd4c37b86a', 'b42aaf913bedf1fd', '00336b9590b313a2', 'ac22b394a79b025d', 'cbc1b9bd150cf5f1', 'f810fc606d199534', '9d1d43c1047d4f6e', '00ac578dde876be6', 'b9e87ecdba870446', '85b1acd514a44ea8', 'a9d91c876a707788', '6d400ac7052f9aa8']; context = [[14, 45], [6, 36], [6, 37], [199, 234], [43, 75], [67, 98], [0, 38], [28, 64], [197, 227], [16, 53], [42, 72], [3, 40], [87, 126], [59, 92], [121, 153], [42, 80]]; loss = 0.028461 low_pass_filter = 0.300
+Epoch 0: | | 8639/? [1:23:10<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 8640; scene = ['5418ed938b5a82e9', '912297ab9a98abc6', '399bc252b234af29', '83fde523c371f3e7', '464d57ea5f1229b1', 'f1ef33d26a5b1bf2', '1c55c064cf34ad0c', '9e13cbf563b9747d', 'c8d0caf183758d98', '0db328ffc64402f3', 'c04b6ad2b52356b7', 'd02f4746a46976f3', '1caedcb062e1b3de', '8ac078c9df050ea5', '245d4e20614cb157', 'a2d81b85eb5661d5']; context = [[112, 146], [172, 205], [3, 39], [118, 155], [159, 189], [38, 74], [223, 253], [35, 74], [44, 75], [43, 74], [115, 153], [25, 60], [108, 137], [49, 81], [43, 82], [167, 206]]; loss = 0.027741 low_pass_filter = 0.300
+Epoch 0: | | 8649/? [1:23:16<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000,train step 8650; scene = ['89a157ea50b44d8e', 'f9540970fc8a58cd', '770814423651553f', 'e512661bf75c3a7c', '0f714589074ad057', '658a1b41b954b052', '3f6f6c90783da13f', '85d1ef80ae3409dc', '830ae97d2cd7c39f', '60f8dae5645cd128', '0745d537fc1aec73', '42e8ce77eb573d3b', 'ead979aa76eaa492', '96f6c82c9c693df4', '4787f5b4b5402ca8', '3c136b7d09306029']; context = [[17, 49], [59, 98], [2, 31], [10, 42], [40, 78], [22, 57], [95, 133], [10, 39], [9, 39], [138, 171], [218, 248], [7, 46], [31, 63], [183, 219], [25, 63], [24, 62]]; loss = 0.027768 low_pass_filter = 0.300
+Epoch 0: | | 8659/? [1:23:22<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000,train step 8660; scene = ['ec69ce38f103630c', '3e9346b65dc684e4', 'fa46d2e31ca6700f', 'e60e765e62130960', '14472523a0c46403', '6a754bfbd0e02830', 'c43bdb6be580b5e1', '83ac3cb620e43578', '1665c14b021957de', 'e6b2fca9be1ab62b', 'a525d5304ac3a76c', '84110461b6f03a0b', '30645c659efe1a08', '8da4bcb68f4b2ad2', '6644381edb8a743d', '76810a4a9a8a5881']; context = [[169, 207], [46, 85], [4, 35], [179, 209], [21, 57], [40, 79], [1, 30], [33, 64], [25, 56], [195, 224], [5, 39], [32, 62], [116, 154], [19, 58], [2, 33], [132, 165]]; loss = 0.072278 low_pass_filter = 0.300
+Epoch 0: | | 8669/? [1:23:27<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 8670; scene = ['de20b01be1d8c09d', '3082878a65ef500f', 'a068b86d9b5390ef', '6b8ac78e56a79da5', 'd29169f4575b466e', 'b54a253c34d3abc5', '62db9521c2a4c2ce', 'd910d05a6cd0ffe8', '0827c649036d47c7', '63a408decbee5e99', 'd6ff01965ec8e64a', '25f03bd9c39ab064', 'cf8c3e84083060ba', '3ac6879302091914', 'a589cacd1404a0c5', '30c166d197c85de0']; context = [[131, 170], [57, 86], [18, 48], [30, 66], [67, 106], [145, 175], [23, 52], [8, 38], [39, 70], [1, 38], [23, 52], [5, 44], [48, 80], [45, 76], [31, 70], [66, 102]]; loss = 0.024271 low_pass_filter = 0.300
+Epoch 0: | | 8679/? [1:23:33<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 8680; scene = ['e5bcfa848ca1fda0', '9454461f4e900bfe', '27e447609b6ec782', '9a7f356671cee839', 'a7bb034467f46e0d', '0b6a05518f22f588', 'efc96d858a68abbf', 'dfb061f20fc8514d', '86da0e7550ff32c6', 'db13d1588c858834', '02dafd1cf4db424e', '6d8c6343604259cd', '3a49bc049a5c4276', 'fd95244898bfe200', '3c46548518abef75', '263da5a61282f21e']; context = [[17, 55], [33, 70], [22, 56], [56, 92], [86, 121], [70, 101], [7, 46], [81, 117], [9, 44], [31, 61], [58, 89], [16, 54], [45, 74], [35, 74], [32, 61], [153, 183]]; loss = 0.029836 low_pass_filter = 0.300
+Epoch 0: | | 8689/? [1:23:38<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 8690; scene = ['aad75ba6e6c3304d', 'b4a17389d685d5bc', '0446f3522cce8104', '03f414ba778a0d1f', '28c643e2cd91f465', '245351b1b14b6bb9', '8467aaa6db783cbc', 'c86ef1cef33cd896', '587a0c714dc7d673', '731df591d77c04b2', 'fe989e36a3ecd67f', '6974a9dd2e36b330', '3b043fdb69d4cf82', '19348886c10f5918', 'eda4cb0549dfa429', '4874c99d597805e0']; context = [[6, 46], [0, 29], [2, 39], [33, 65], [23, 55], [51, 84], [24, 60], [37, 74], [211, 250], [17, 46], [16, 51], [19, 53], [56, 86], [39, 77], [40, 72], [73, 105]]; loss = 0.025385 low_pass_filter = 0.300
+Epoch 0: | | 8699/? [1:23:44<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 8700; scene = ['ac73c593c5fadbb2', '8163796864b51991', '9da23c6a66bf2a7f', '0cd01fdb58679bb9', 'e63575e2657489fd', '46ec28923c735944', 'c2ad8a9ba52a66e4', '1c5700ef1f66c707', '582b42ffa44c4437', 'c23aaa7965325e09', '24ce6ffabc07ab12', 'eae116e50dca5b4b', 'c3f6971df97e2897', '866aba7c3f56d29e', '134574e751b134d6', 'b163163dd0e2f7e2']; context = [[229, 269], [121, 150], [25, 61], [17, 48], [29, 65], [11, 44], [50, 90], [9, 47], [90, 121], [164, 197], [16, 50], [19, 49], [17, 55], [51, 82], [0, 29], [0, 32]]; loss = 0.023590 low_pass_filter = 0.300
+Epoch 0: | | 8709/? [1:23:50<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 8710; scene = ['bf284021a189d59c', 'f7789bcbce7f114c', 'c9c4e5c44f169334', '106158687398cbae', '2f89f8bf5ccb7b5f', 'bc5a6fe47d65b9bc', '36bc8f17c259c97c', 'cf33fd6114fc1873', '6980cb470e01162a', 'ece2c8a087bb867c', 'af106b3ab985191c', '0a5f16215d1479ff', '83f01c4310f19278', '35ce3025267c7ba7', 'e852d57c6de796cc', 'd585e74d7e2b840f']; context = [[52, 84], [64, 95], [2, 39], [228, 268], [39, 70], [52, 89], [203, 237], [17, 54], [25, 59], [0, 35], [7, 41], [28, 58], [32, 69], [162, 197], [133, 168], [2, 31]]; loss = 0.024533 low_pass_filter = 0.300
+Epoch 0: | | 8719/? [1:23:55<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 8720; scene = ['e209ce84271a5f43', '9cf8e1b5c06a9275', '9b7873876f84ad81', '6f20563d957bd129', '92b06be9f462e68e', 'c6aa24612a23dba2', '45aa7021f1864ed8', 'a797e66eee67e4d4', '1fc78c3676411b0e', '9b93f3f8028382b6', '1fa3fcadeddb75cf', 'b5de5071d7ea455f', 'efe92f77ccb0db4e', '1565693bd0ba197d', '3cbf6ed1fc2b49d9', 'd34adbecbd9fc68e']; context = [[44, 83], [20, 59], [45, 81], [129, 160], [104, 138], [7, 43], [15, 52], [0, 32], [15, 49], [149, 189], [120, 151], [114, 147], [45, 80], [144, 184], [31, 63], [1, 39]]; loss = 0.029788 low_pass_filter = 0.300
+Epoch 0: | | 8729/? [1:24:01<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 8730; scene = ['96e60aa2260cee08', '38834e0675604b7b', '5b9d84d47b1ea410', 'bf6673b014c4b426', 'c842ce5440a03704', '75a8c9852f5cae9b', '3d4ae910ff347e3e', 'eca311ee088fb239', '4835854d2ff182c1', '88c54de076322499', 'c60161d70d4a37c0', '06a23a1a71a59f23', '35c139cb56dae1ca', '3e4627cb115160eb', 'e259ed73b7ee9dd1', 'ae8e0b5d1d5bfc78']; context = [[151, 191], [21, 52], [191, 225], [28, 68], [174, 214], [90, 121], [6, 41], [40, 79], [32, 61], [17, 49], [100, 134], [22, 52], [14, 46], [153, 192], [70, 102], [233, 271]]; loss = 0.026645 low_pass_filter = 0.300
+Epoch 0: | | 8739/? [1:24:06<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 8740; scene = ['687b773cc20cf2ee', '40aa327f7c331a8e', 'bc51d02a05fce838', '3bdf8df6c39efd67', '5cf8295fdd4dc705', '7e39fdb0eefece03', '9c41777f108288ed', '8a6f058ea1b60e96', '2369b06fbf07fe26', 'e52bb29b8c03f39e', '5994a80afa6ef0fe', 'a3c6d1f4685486a9', 'ce881544bc55711f', '20d4bd35ee6806f1', 'b995224813db4b0e', 'c74adb4381e65e99']; context = [[31, 71], [19, 49], [106, 139], [46, 80], [2, 36], [43, 78], [237, 267], [106, 138], [110, 144], [24, 53], [21, 52], [168, 203], [52, 86], [5, 41], [4, 40], [45, 76]]; loss = 0.029068 low_pass_filter = 0.300
+Epoch 0: | | 8749/? [1:24:12<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 8750; scene = ['822b7deb499e6842', '28163540270fe391', '510c8fcaedbea78a', '574809a522894fd6', 'e8fd41962a23f7be', '1eb41a7aa81df97b', '87e1164e050e9686', 'cf51bd344a6f26b8', 'cb70e16375e98f07', '1f5526e57d685a4d', '6ef72c0400a5294b', '47d6678d29b5b7f1', 'd7186fea6aed423f', '05fe244887357c8a', '54ae91584d0c5aa6', '5b736edcd056b70e']; context = [[0, 40], [22, 52], [11, 50], [0, 34], [30, 63], [163, 197], [53, 92], [62, 93], [47, 81], [233, 263], [40, 75], [3, 38], [116, 148], [22, 56], [17, 51], [29, 67]]; loss = 0.022658 low_pass_filter = 0.300
+Epoch 0: | | 8759/? [1:24:17<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 8760; scene = ['01e729b5c5b13683', 'f0cf2700a57c1a8f', 'c9b99089d58b0e8f', '4d2d4cac492dbf1d', '9f2cd7c89b5ef760', '2918f97ea81e5bdb', '5335d77c5e1679e6', 'eafaece895002605', 'd051d5f10665fa3f', 'f25476d0a263070e', 'bb72da9d1e6ccae5', '7c69cd73707b1460', '5ec3a6e7baf76b0e', 'f4cf8947756befa9', 'b853f60b6a4e99b5', 'b922d969de34dccd']; context = [[14, 48], [91, 122], [1, 33], [50, 81], [43, 82], [4, 42], [37, 67], [31, 68], [19, 57], [47, 80], [27, 63], [6, 40], [12, 47], [7, 45], [25, 59], [1, 30]]; loss = 0.027324 low_pass_filter = 0.300
+Epoch 0: | | 8769/? [1:24:23<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 8770; scene = ['0f57d75b30d65539', '26c72ee0b0e70272', '92085b73d95d15f2', 'df6fb10595c0c3ef', '06dd2b11f2fee659', '889745e162331266', 'e19f322390d2dd64', 'f7066db19ea7dde5', 'df7f09e925d52823', 'bf3af518a9d57ab2', 'debfcd0facc08e74', '312e16d4b4b9e990', '0c99f06e8b5bc9fe', 'd8b6c6f00773941c', '373c334353542c1e', '485cf8f38eeb3c39']; context = [[225, 263], [9, 46], [3, 43], [106, 146], [63, 92], [14, 49], [13, 48], [51, 85], [9, 41], [161, 195], [2, 40], [12, 43], [37, 71], [2, 42], [55, 94], [45, 83]]; loss = 0.024251 low_pass_filter = 0.300
+Epoch 0: | | 8779/? [1:24:29<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000,train step 8780; scene = ['9ebc32522a5d6bfe', '88b54484f742e069', '1683c797f3feac29', 'c34efa1505a0cfaa', '9b26bb403d1d515e', 'fa3d7ea00b62e8da', '4fb40dc3a4716a0a', '666e4a9aba27bb64', '1181acbb2ab18e64', '47a1772c9348c0be', 'de04b38c9180ede5', '1687dc0329ad6782', 'fd35ac8f908ba3b8', '7f86d15251f6e07b', '8a7dbd468447b0f4', 'c409b76613c0fb46']; context = [[94, 132], [34, 74], [53, 86], [53, 88], [37, 70], [79, 114], [126, 158], [17, 50], [136, 173], [102, 135], [12, 52], [33, 66], [15, 53], [74, 103], [55, 88], [10, 46]]; loss = 0.024172 low_pass_filter = 0.300
+Epoch 0: | | 8789/? [1:24:34<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000,train step 8790; scene = ['5eddfc08b9bd5a98', '4afdafcb2848a932', 'a8d975df36c1b227', '900605e07c16caa2', '717f5c3a911c7a06', 'd2848b9d753e1b0c', '6cd96be7c3090c46', '65511bfd833a3a0d', 'ece124223b858624', '428af7a35d38dfdb', '83ecdb9bcebfa8cb', '4bef29cc7955bb9a', '66e03e0c45197a24', '13a12740c5d84057', '1134a76f064459d4', '4a9619f6264f92ab']; context = [[12, 47], [5, 44], [129, 169], [0, 30], [26, 64], [104, 141], [40, 71], [15, 45], [60, 90], [45, 76], [60, 96], [11, 42], [30, 62], [17, 48], [30, 59], [32, 65]]; loss = 0.025296 low_pass_filter = 0.300
+Epoch 0: | | 8799/? [1:24:40<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000,train step 8800; scene = ['1e1c3419d6dc3fbf', '2d6eef8d818491ea', 'fcf7edbd43225708', '9c161cd97fddf519', 'a37fb40adf2531e8', '9d648727c2f20c2d', '354f56e1fbe2b3db', '79c3bcdfe5f242ea', '84463d4b276a6a65', '31a0c9b48652eb6b', '4674c9925539aad9', 'cf53b8a78207a9c2', '09d8152f20999cdf', '1f61a254477e0f4c', 'd7b8aa8b102928ff', '889369335eec0c78']; context = [[99, 129], [41, 79], [49, 81], [110, 141], [49, 83], [14, 53], [23, 57], [213, 247], [19, 52], [67, 107], [37, 73], [9, 40], [0, 32], [18, 50], [86, 123], [1, 36]]; loss = 0.026683 low_pass_filter = 0.300
+Epoch 0: | | 8809/? [1:24:45<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000,train step 8810; scene = ['8600a4bba7c48c1c', '361d0a4a60f51aac', '024302734be23cfb', 'c12633050e140298', 'ea37b6fc56351c10', 'bafbf82a368e225d', '016d100b1e6854d0', 'e0f1d79ec792ef8e', 'de82638349240cde', '4e57a0834333ff58', 'bc085f262a9ccbcf', 'f02ef226ccad6345', '092042696fbf333a', 'a0f63c5a3c3e0da1', 'dd0dccd5864b0e61', '52de141f8de99555']; context = [[65, 102], [79, 114], [120, 160], [220, 251], [1, 39], [16, 47], [5, 37], [69, 100], [16, 49], [5, 37], [184, 221], [6, 42], [169, 199], [78, 109], [225, 262], [47, 80]]; loss = 0.029288 low_pass_filter = 0.300
+Epoch 0: | | 8819/? [1:24:51<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 8820; scene = ['d2285a9175494e8a', '7e12b2b9d3173b0a', '55c35d1bf04795f3', 'd6c9e919641c1d3f', '1f5c02c6a447177a', 'e2151e6bf7f90731', '7922209e3015f2be', '328f4a1bb0f7419b', '1d0de977f6c454e5', '611773875fdb8681', '8730a68b24c3678a', 'c2ca510a4a1617f2', 'ace26d090e35b8a2', '0ba56b76de23eac4', 'ca32984655a98eba', '24668195926b0c91']; context = [[47, 84], [15, 50], [16, 53], [78, 107], [117, 148], [28, 68], [32, 64], [47, 80], [34, 69], [9, 48], [69, 108], [179, 210], [38, 77], [8, 48], [34, 68], [27, 58]]; loss = 0.025561 low_pass_filter = 0.300
+Epoch 0: | | 8829/? [1:24:57<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 8830; scene = ['e0f69cd2e7872e24', '0265f4ef1936cd41', 'c5a9ebcbe1f673b3', 'b0c566c80e48a639', '7effba62dee38d6e', '38c98ac3504f0495', '05f40d087109422a', '4aabcd4c5ff2ad5b', '6ae12d32b5ba6faa', '5a56b4c24535945f', '399f82e1d5fe9d0b', 'cc200a8068fda759', '15e03aa7fa32ad9a', 'b5d2093fdb76e3ad', 'be90dc239f33af9f', '8c6c789f025a5e42']; context = [[70, 101], [18, 52], [46, 82], [162, 200], [13, 51], [63, 100], [28, 61], [17, 47], [10, 46], [32, 67], [34, 63], [2, 36], [213, 245], [26, 61], [1, 39], [2, 34]]; loss = 0.029895 low_pass_filter = 0.300
+Epoch 0: | | 8839/? [1:25:03<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 8840; scene = ['701bbabf79a42624', 'd0432ed7f1d068ff', '39f89831b997bcef', '9ab6f5a4a25d8e1e', '67f8815d24b5195c', '8e7d92a20feeecc3', 'a4eeae8de8e2e98e', 'e1843bdb769c16fc', '49f2a6f344b193ec', 'c9077b5a9e2919c9', 'a190cb946726d886', '03a91501aac2c6cd', '485b767178f8d931', '1ec05b1217b8faed', '6a1ea67384a032e0', 'b6bddb14c9ed230b']; context = [[81, 120], [81, 119], [14, 46], [1, 37], [57, 95], [8, 40], [17, 57], [93, 128], [25, 54], [17, 54], [95, 131], [46, 78], [46, 86], [97, 137], [69, 104], [53, 83]]; loss = 0.026289 low_pass_filter = 0.300
+Epoch 0: | | 8849/? [1:25:08<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000,train step 8850; scene = ['250ce6661ff5bd65', 'c5eaa467308b1476', '740b481703e8db51', 'a6f5787a365c07d5', '6f38fa8aa6d25d00', '2d36b3d23a8886a3', '8c129dd203d9ed51', '2f7906c9a4e07a68', '865ef47cd6498a79', '99a80f2af2d5f9ad', 'add9729865e170a8', '44aef7cb631de76b', 'd8d7802489b38457', '6348d919467f3d69', '49c88c5873b09f4a', '35a7c7d799ec4dd6']; context = [[31, 62], [4, 44], [28, 58], [56, 90], [36, 75], [101, 131], [44, 78], [18, 49], [26, 65], [32, 70], [30, 59], [77, 113], [30, 66], [13, 49], [81, 116], [39, 70]]; loss = 0.027133 low_pass_filter = 0.300
+Epoch 0: | | 8859/? [1:25:14<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 8860; scene = ['7f1444750fc50ba8', '6d93e8f7923b4d70', '5acc2cb4c8cc2220', 'eeb0131c26691b17', 'e3547f5d45666645', 'd9205348ae400514', 'f695b9fd884f9c3d', '5c6ef4865ed51116', 'f728a149ea2dcc32', '82bb912dd8628b3a', 'd51efc546a523318', '3da2fff83c3e955c', 'c9755380f559fa04', '561055f011b8ec52', 'aad6209cb374086b', 'da85e1680f6d70e4']; context = [[240, 274], [88, 123], [90, 128], [7, 46], [134, 169], [30, 69], [9, 39], [33, 67], [47, 86], [98, 129], [26, 60], [62, 99], [43, 78], [62, 97], [174, 204], [33, 73]]; loss = 0.026872 low_pass_filter = 0.300
+Epoch 0: | | 8869/? [1:25:19<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 8870; scene = ['e1753eddd0e7966b', '9c37763c5138d4a0', 'c38ba3bd81257841', 'fcbfeb18c3cd15d4', '08181ef1861a03a7', 'a864c0d0ec25cb6e', '62eeeb4ecfb9d1cc', '982a10bb680bae27', 'd68e42512bdc7c57', '77177478fc811879', '7555e47b02789beb', '819077a05ec815dd', 'd94267d8022d8664', '37e9852ebeead35e', '9287db30ff7af69a', 'c87ed13477475e4a']; context = [[39, 73], [5, 38], [7, 38], [0, 29], [62, 97], [25, 55], [86, 122], [125, 160], [177, 209], [26, 55], [6, 38], [28, 59], [1, 33], [38, 78], [96, 131], [7, 41]]; loss = 0.027286 low_pass_filter = 0.300
+Epoch 0: | | 8879/? [1:25:25<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 8880; scene = ['1d3ee0e53979d90a', '8c8947bc4f9bcce9', 'b547a7565aabf774', '725edaf7f5f88583', 'fe50b8ab71db6ff7', '698b8f508e07fbec', '23239944ae5320b2', '810f74775db97784', '6b8879627b5e72b9', '3899768cb1c16293', '67bfb1615102109e', 'ac9e395a9d6c20b7', 'f2fae71744cd5443', '70d4b8db4ed39f14', '2a57757b60e76cb2', '1a19d8dc9c410869']; context = [[3, 36], [69, 104], [36, 68], [7, 47], [11, 51], [137, 175], [22, 57], [13, 49], [187, 222], [7, 38], [68, 101], [159, 189], [175, 213], [44, 75], [148, 188], [46, 85]]; loss = 0.029108 low_pass_filter = 0.300
+Epoch 0: | | 8889/? [1:25:31<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 8890; scene = ['dc9477687895a68d', '51817eaa8265bc7f', 'ef9aa38474d77912', '4bd55ac28c876fce', '04c44b1b8b0c6efa', 'b59b91f89bea682e', '156d5114133bc02a', '5e9b5579ab5155f9', '256ae648672281d1', 'b5ced0beb191395e', '26f11847ab7e1b55', 'e70c21625fceaebd', 'd4947e4e6e324253', '93bc37f0a27daa8f', 'f90ce230307d2f34', 'a7dbd6c8a26b2dbe']; context = [[29, 63], [74, 112], [96, 135], [6, 37], [189, 221], [92, 132], [5, 38], [154, 191], [19, 48], [64, 100], [172, 202], [59, 93], [95, 132], [39, 72], [184, 219], [97, 126]]; loss = 0.029615 low_pass_filter = 0.300
+Epoch 0: | | 8899/? [1:25:36<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 8900; scene = ['1503f70f0474756d', '52c4bb658d7e2c97', 'c7b726bf41c7363b', 'b40b16262771f2d6', '8edab48b06f54f71', '2c4ec7127111bce1', '2e684f88b302526b', 'fb215dfa4249d979', '22e44c9efb4ac335', '527a2de7a08dfc20', 'acd2ed932e21f625', '119c24c05102a5b5', '864148d49cf777cb', 'f272bac50c6f6f32', 'e8164998fa4d92a3', 'd8a5d7ed2df85474']; context = [[31, 65], [105, 140], [9, 46], [20, 52], [128, 157], [17, 54], [2, 31], [11, 49], [18, 53], [24, 57], [24, 55], [52, 88], [98, 136], [16, 46], [181, 211], [77, 109]]; loss = 0.025727 low_pass_filter = 0.300
+Epoch 0: | | 8909/? [1:25:42<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 8910; scene = ['d4cc5c4887f72d3e', 'da6ab468a5630616', '9216e7998db36067', '52983a3110a185fe', '609d6205bab3f9de', '2517e14bc498b4f8', 'cf96acfe14a34f96', '7db24579515c9c03', '30de684928c0292a', '174b9b8d56204204', 'aeea05a91f0fa062', '089622d662597220', '7599842c18f9e0e8', '75ae63a846122094', 'a0b88ff1fc110540', '9c09eaf37515bfb0']; context = [[176, 214], [5, 45], [0, 30], [26, 58], [77, 108], [28, 67], [41, 78], [38, 70], [17, 53], [99, 136], [23, 63], [218, 251], [40, 73], [21, 50], [6, 36], [116, 148]]; loss = 0.029392 low_pass_filter = 0.300
+Epoch 0: | | 8919/? [1:25:47<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 8920; scene = ['6dd17de596dae3be', '29813418d3210005', '47421c0e831f93ab', 'f01f0f602cf82f5b', '6a1c56504c0bb47f', '7df8b2db66f22383', '00c7f4d292a58bd3', '79cb5fc3ee21d2a3', 'a0792de6d36408c4', '42fc11373e395d2c', '55e8daddc05245e7', '74765fcdcd14194e', 'd578c51b5f2f2976', '8af27c723ccd5649', 'df05534dfd852202', '9db6fb7dea6b0de5']; context = [[127, 157], [55, 89], [1, 39], [48, 83], [85, 114], [58, 88], [7, 41], [69, 109], [39, 77], [65, 97], [12, 52], [44, 80], [2, 42], [44, 73], [83, 118], [57, 90]]; loss = 0.032674 low_pass_filter = 0.300
+Epoch 0: | | 8929/? [1:25:53<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000,train step 8930; scene = ['85b95906da927213', 'e92f5355816a5aef', 'ee020a8773034321', 'e947935fb3399788', '86b09005d9a29cdc', 'a760fd49e007484d', '1b640724a4303dba', '7ed6d0ea114b5877', '263c602274f69859', '261b90e2858fd047', 'f47face8be798493', '9973812e154968d8', 'e15367ddc67d2247', '94dbfc6d72ae96e1', 'dd41d5c9bec9d428', '46d97ff2d47bd0b1']; context = [[28, 67], [88, 117], [178, 217], [47, 80], [42, 72], [61, 99], [5, 37], [122, 157], [12, 45], [144, 177], [38, 70], [57, 91], [25, 62], [72, 110], [12, 50], [112, 149]]; loss = 0.028462 low_pass_filter = 0.300
+Epoch 0: | | 8939/? [1:25:59<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000,train step 8940; scene = ['2abfcae1edd36b58', '69fc48e88e77063c', '10d1864880c5a385', 'd867469315c8b0ba', 'd39d020d124fb591', '5969edcafd208c2d', '4b19af1446b886e0', 'f6d8dfc70b33a654', 'f3acba9a72f70675', '3e8e2593fb4e7647', 'b6b27ea9e20cc7f3', '9c7f3c4d1c9c3760', '93dcdc36ab76b422', '50d16d209c6d009c', '47e61f9035350deb', 'ce59572e15a0917b']; context = [[0, 40], [22, 53], [105, 143], [74, 106], [147, 176], [2, 40], [11, 50], [34, 68], [36, 73], [16, 53], [43, 79], [47, 78], [76, 116], [80, 109], [42, 73], [95, 127]]; loss = 0.023994 low_pass_filter = 0.300
+Epoch 0: | | 8949/? [1:26:04<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000,train step 8950; scene = ['452a487aad737922', 'f2c8678212c44344', '997a652293e8b7f8', '826bba2bcafe7d03', '3ded3e3c1fe76ee3', '5228c2104f8fae53', '32594792c3f9361f', '242016b24b4251a6', '3dbb2c1bc521b62e', 'b3c9ebc907ec6e04', 'fc8e5038180d1870', '2c818e06fab2adb1', 'c470e82acd641c32', 'c953d129166956cf', 'b407aff58d0b2042', '61aa53cc53799ae9']; context = [[189, 221], [9, 44], [38, 77], [157, 193], [74, 109], [183, 214], [0, 30], [64, 93], [147, 177], [40, 80], [218, 248], [15, 54], [14, 47], [54, 83], [118, 157], [16, 53]]; loss = 0.030023 low_pass_filter = 0.300
+Epoch 0: | | 8959/? [1:26:10<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000,train step 8960; scene = ['bd23e786eb4d80a2', 'd0ddbb1c73874bec', 'f2fd8742f673fa6a', '9dfe2966ef842aa8', 'a18e4f50b39db23f', '4321e85d908b117d', '32c0a57c089dfffb', 'ec5815c2f8d05f81', '82125c3653da9f1b', '0fcee80286318859', '991621933aad3eaf', 'f9f1d88856e0561d', '48b9036a85220b01', 'f11edf723a9c4afd', '456bbdc4f9bc2bf0', '3137d32facfa0909']; context = [[239, 269], [59, 94], [37, 71], [0, 29], [29, 64], [20, 56], [30, 70], [8, 42], [122, 152], [154, 192], [3, 39], [46, 84], [22, 52], [165, 198], [18, 47], [10, 42]]; loss = 0.024362 low_pass_filter = 0.300
+Epoch 0: | | 8969/? [1:26:15<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 8970; scene = ['6a3f9d9e01c9bda5', '74ccd7f499ff29c1', '1a00d4e8aa97867b', '18b72612d78e5800', 'e32290ab3ad7c715', 'ab85bf8652d24e47', '58d9100716253f0f', '4d0ffa23690b31f5', '95f77454a0125854', 'a89e2f1bc57991f3', '11a1b9420a2069bf', '48c4a4758b86d309', 'fb0aa00f96d016fb', 'b13bc8cfc7773063', 'b5ee30ee1caab19a', 'ba9bac4198a51d76']; context = [[41, 70], [43, 77], [216, 253], [30, 63], [76, 111], [49, 88], [32, 72], [21, 57], [99, 138], [26, 60], [102, 138], [21, 50], [40, 69], [97, 137], [1, 30], [61, 97]]; loss = 0.023754 low_pass_filter = 0.300
+Epoch 0: | | 8979/? [1:26:21<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000,train step 8980; scene = ['4e2925a18aea45bf', 'af432bfae937c126', '7ee5633080b935f9', '081d24766be8a35b', '84eb4811e007bd73', '6506f727e342a210', '74c756a6fadb42ca', 'db61a53a8df7d1e5', '2c69c20ad26a77de', '9e00040e823be79b', 'ca454d783ce478ff', '1bfbe8965d852ef5', 'ac1070fffb90f663', 'cf110ff727c7af33', 'c872ffc2c297b18f', '9b8e6a1b2b901d1d']; context = [[184, 213], [21, 55], [31, 67], [4, 42], [103, 132], [214, 250], [62, 102], [68, 106], [32, 67], [20, 54], [73, 106], [77, 108], [133, 165], [26, 66], [67, 102], [199, 228]]; loss = 0.023397 low_pass_filter = 0.300
+Epoch 0: | | 8989/? [1:26:26<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 8990; scene = ['2f261ec99e601af5', '99947f86c2cc4108', 'db5e3b998bc94027', 'af4ba8dac0ef1089', '458e67c3c4dfbf24', 'ea048e21097e9eae', '70b8aac2ceeb3c5c', '6803b3d46e5a2c7f', '736aebe2985e23f5', '04c6050c4373c7d4', 'de860ffede23edfe', '4cb365b666eb29d3', 'f72a46ac3bfc6ef2', '966391dedc9b04e1', 'e8ac1d56f76c2071', '554d150cf9462431']; context = [[34, 68], [1, 30], [68, 108], [1, 35], [59, 89], [69, 103], [0, 34], [1, 30], [31, 67], [16, 46], [80, 112], [153, 191], [36, 66], [112, 152], [34, 63], [46, 77]]; loss = 0.029788 low_pass_filter = 0.300
+Epoch 0: | | 8999/? [1:26:32<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 9000; scene = ['e7f820327fa7287a', '1626e670755b1d8c', 'b399dfbf864d3076', '348e39e72320bf9b', 'aecba92e05f84330', '45881f9f6f662df4', '14b4d62a983a3e42', '57b1333abbaea573', '7a9e2a1db5d0c45b', 'e13d24cb77bd5842', '7225310f01007948', '2c7822582c375f00', '2b00682d03aed4d2', 'b385335fb75e585f', 'fc2836052b5947f7', 'e7da917d11d5cd1e']; context = [[1, 31], [17, 54], [56, 91], [27, 56], [139, 170], [101, 136], [7, 40], [1, 40], [95, 124], [47, 80], [98, 132], [25, 63], [14, 52], [85, 125], [106, 140], [48, 87]]; loss = 0.025324 low_pass_filter = 0.300
+Epoch 0: | | 9000/? [1:26:33<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,validation step 9000; scene = ['2f197e2a5d5d2985']; context = [[2, 33]]
+Epoch 0: | | 9009/? [1:26:39<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000,train step 9010; scene = ['b6b9559aa53adcb6', 'd265b0d8c2b9a96e', 'f4a8f55651b1b8be', '8734bf1187fb1cb4', '79bc597102376aef', '717e391149f3c5eb', '1dffc11384eceb52', '0580f898bf9de725', '7e18c24b44ceb1cd', 'b18ac5291f4c02b9', 'af9d1e6e51023368', 'a2c58db9c8001374', '460edf005a29dbe8', 'ddeb26aee2619bf5', '5f6c34666d91e1e3', '2192e23641f6bf31']; context = [[27, 63], [68, 100], [45, 74], [22, 53], [41, 71], [232, 271], [170, 200], [146, 175], [14, 51], [3, 35], [83, 113], [24, 53], [109, 141], [25, 61], [13, 52], [36, 66]]; loss = 0.024518 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 9019/? [1:26:44<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 9020; scene = ['b43eae80d9b59fae', 'e4d53cef4b37c36e', '5aea64e123ab1589', '84d2d6712d389970', '8e072e82a4158afe', 'd565a415518bd68a', '1e25fb7754f58040', 'fa9f019e1226ba08', 'd24bb3503cb81519', '3b5fcd4d1a5496ae', 'dfe58e223f079215', 'e88d5253019ba9b1', '44622d3502746b3f', '225b13acb75305bd', '59baa163bc171083', '0d9483dc76901c4a']; context = [[51, 83], [108, 143], [104, 138], [233, 272], [37, 72], [15, 50], [19, 57], [4, 39], [58, 96], [40, 78], [20, 50], [3, 32], [78, 114], [8, 39], [10, 46], [29, 62]]; loss = 0.026356 low_pass_filter = 0.300
+Epoch 0: | | 9029/? [1:26:50<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 9030; scene = ['38fb99bfc3d886f0', 'c8f5b0f0adb6817d', 'b7cc7c503b10b878', '93fac9602a1702de', 'd3416f0ed06a7ad7', 'b5ad3c2c360db727', '3b4f5b58eaa9e909', '4fd26cdcd92cc984', '8db206b0faa1b032', '4700b4a628c6131b', '165d9989e76cd538', '86ddb8cd0b6f0741', 'ce81fbe67b6d91f7', 'e78668ecd87257dc', '45677926c908e6e5', '5b511f6b48cdb84c']; context = [[31, 67], [160, 197], [5, 44], [223, 257], [2, 38], [43, 80], [29, 65], [25, 60], [17, 52], [22, 60], [151, 180], [3, 38], [14, 49], [21, 60], [74, 104], [247, 277]]; loss = 0.025611 low_pass_filter = 0.300
+Epoch 0: | | 9039/? [1:26:56<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000,train step 9040; scene = ['a0eff2ed6dfc0743', 'd78014308656fcca', 'c80daac3b10f42f6', 'e5c8b67170a5bba3', 'a9b70dd896f7e8e9', '15646b7173d4f18e', '41c352f47d88eab4', '1a76ad73eecd0b91', 'ca6f03e8f08e0069', 'b995a8f12125ac6a', 'e67e76536d6b86f4', '7254198da88530f3', '85252cd1589d94fb', '1bf48dbc7214ae64', '292ed237c4689f0a', '01f7b353655b6eeb']; context = [[7, 45], [55, 93], [19, 58], [65, 98], [66, 96], [17, 50], [186, 218], [16, 48], [10, 39], [1, 41], [16, 52], [32, 65], [37, 73], [10, 40], [21, 58], [54, 92]]; loss = 0.023864 low_pass_filter = 0.300
+Epoch 0: | | 9049/? [1:27:01<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 9050; scene = ['a421fa44be30ccf8', '6d0db0358f7e051e', '916ba32c24c8014f', '02a840608387c7e1', '484b6df8b586dd1a', '57112bf6cf251fe1', '7c3c345404cd29ee', '7c6a8caf90ddc0fc', 'd8f23d503b820e53', 'b3ccb1e1003fcb6d', '9fb3173ad654a32f', '6f8b2d73ed0da2f1', '9a8fd1d3cf706b89', 'a5f3bc6da5870232', 'b4049b5f74fe2c1a', '3370b1a40953d7ca']; context = [[6, 43], [3, 36], [38, 69], [13, 51], [31, 60], [15, 50], [33, 72], [35, 72], [3, 43], [16, 46], [9, 49], [39, 69], [19, 48], [61, 92], [65, 99], [5, 40]]; loss = 0.027560 low_pass_filter = 0.300
+Epoch 0: | | 9059/? [1:27:07<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 9060; scene = ['984ffd413db16533', '7b80aa09b7f21186', '83ebc32def5a3967', '59e94a32e670efd7', 'ef2a0c327852b774', 'c7f1be8551fffb8e', '00ed6136c07aea5f', '8dada1b00a394314', 'fa3080b291d02ee9', 'c0c4c31e533004c1', 'a4e2964058d85f34', '049637262aa9a03e', '89eae766d1dfa570', 'bfad3dedda5e004c', '1a85cec942246c96', '7490a6c26e83d55c']; context = [[33, 67], [139, 172], [27, 67], [42, 72], [150, 183], [14, 47], [75, 115], [23, 62], [41, 70], [33, 67], [95, 127], [28, 61], [36, 73], [57, 87], [61, 95], [172, 212]]; loss = 0.026668 low_pass_filter = 0.300
+Epoch 0: | | 9069/? [1:27:13<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 9070; scene = ['742da951005a3ff5', '409e4236aaf4b6fe', '62008345be9d5772', 'c1bbf4879c1546b1', '6c461ad05bd11de0', '38521be537d8a9aa', '75cfeb226b47a5a1', 'b3c2eaecfff1ccaa', 'a78affb518c2e2c2', 'a58bd21f7b45e7b5', '8fec1e2289d578c4', '4dd9c5fab7e6ec75', '3f0cf2bff697d8cf', 'dee435320ceec344', '55bb1398c07abfaa', '5df5c5216840766c']; context = [[50, 90], [154, 190], [36, 73], [65, 103], [132, 165], [31, 69], [41, 70], [6, 41], [6, 43], [25, 63], [64, 93], [11, 51], [39, 77], [19, 55], [3, 38], [3, 33]]; loss = 0.024607 low_pass_filter = 0.300
+Epoch 0: | | 9079/? [1:27:18<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000,train step 9080; scene = ['4cd9adcbfdce1f77', '257afa86bc6a8690', '67c2fd0b40160790', '459f8eeea2c51be9', '46abbc7e39a5c1ce', 'de891429c0a521b2', '2533ba0275d10e50', 'f70b121ccf3f3ed6', '3f9d1fd2875c86e0', 'c69af9c3bab53abd', '0aa8245eeefc11a3', 'b8edc44674166d18', 'ac451d6a344dabd9', 'c304ac5f3fe47b0a', 'ffcddd641eb66a0b', 'e3937eacadfb024a']; context = [[12, 47], [5, 34], [36, 66], [31, 64], [41, 77], [11, 43], [24, 63], [95, 134], [6, 37], [46, 83], [123, 158], [86, 124], [164, 198], [38, 75], [36, 69], [12, 46]]; loss = 0.371565 low_pass_filter = 0.300
+Epoch 0: | | 9089/? [1:27:24<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 9090; scene = ['d8c5e90225704aea', '4296043230e5cb08', 'fb0cc810fda13456', 'b30c5363681d3c16', '61f2bd9a20b9278c', '065751bd5f26d40b', '142cb821add92aa7', '8fe01181bfc7318d', '7026a142e49b73a2', '975cc049e8005ca9', '7a2bec1959eead9e', '2e91b67f2ece02be', '662b8fd7e0234fb7', '46bcbdd06066acb6', '6c086cb6262004f4', '8bb20f35c6b24315']; context = [[9, 43], [66, 99], [56, 95], [31, 67], [24, 62], [33, 65], [8, 45], [13, 46], [147, 182], [2, 37], [0, 37], [8, 44], [87, 123], [124, 160], [80, 117], [15, 54]]; loss = 0.028220 low_pass_filter = 0.300
+Epoch 0: | | 9099/? [1:27:29<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000,train step 9100; scene = ['f1c70b01433e528f', '5b3422e1ad0e3f86', 'd7ca8401b3a2387b', '628d53c4fa7f75e6', 'b219243c6a108088', '71226cfe95601144', '1e1bd550daa0d3ec', 'a6ca24800d9603ac', '325313dd798bdd45', '9001456359afb4e5', 'e11b15356cb16a5f', '6f2781369a82d41b', 'de328be82ac43439', '79e5fa7345e69819', '34ec238bbbb9dd57', '12c487620fb54b3a']; context = [[8, 39], [120, 156], [8, 48], [72, 107], [24, 54], [70, 99], [217, 255], [0, 40], [39, 72], [2, 41], [147, 177], [108, 146], [33, 68], [19, 50], [51, 85], [13, 42]]; loss = 0.024634 low_pass_filter = 0.300
+Epoch 0: | | 9109/? [1:27:35<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000,train step 9110; scene = ['c6b59c06634125d4', '3e1717aff7917fdc', '4f9e0f20a0596484', 'b11740540edffef4', '98f451b1132d99c3', '023327e82b73dedb', 'ebcf7f8c0b83ef53', 'fd20e96d59c53813', 'd9fad8315e43622b', '2e6bbc821b435d6e', '2511f4234bb649b0', 'c5e778adb95578f3', '4396ddf4485c21c9', '20e704cf9128841e', '001d7dab76c43f91', 'e7d671486a4b099d']; context = [[38, 69], [13, 46], [73, 107], [14, 54], [30, 60], [5, 41], [54, 91], [28, 67], [34, 73], [26, 66], [5, 44], [6, 37], [23, 60], [43, 74], [39, 76], [1, 30]]; loss = 0.037847 low_pass_filter = 0.300
+Epoch 0: | | 9119/? [1:27:41<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 9120; scene = ['b3871abf5fab3140', '4109501e6b924539', '5054e805903470cd', 'd8f9cdd66d5a9ec5', 'ac9475b5f8128e87', 'd4896139155e24c5', 'a41a1bcf7d09b4eb', '890e703ff66e180a', '006f24f8fa62a3b7', 'ed3ec99c97d13679', '31bec714e9a163e5', '2557d505c19c8b3d', '5f6b16b0e97a3062', 'e87019343627db3e', '76754b00fc4f05cb', '3ad32c774a990a63']; context = [[33, 69], [85, 122], [19, 53], [0, 31], [5, 36], [28, 65], [68, 107], [35, 71], [58, 98], [13, 42], [10, 43], [3, 41], [143, 180], [45, 79], [194, 234], [91, 131]]; loss = 0.025116 low_pass_filter = 0.300
+Epoch 0: | | 9129/? [1:27:47<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 9130; scene = ['321daaf7850e7d74', 'd8ddebbd5a79364b', '8ac83ba3156df8d9', 'cc8ca5db181e8bce', '0ea852338a77c84d', 'd12b528777b5bffd', 'dea5bd0f77069f72', '7400bbcba57af668', '65cdd012231a757c', '117c40ed2a9e43f3', '704f321e2f7ae62f', 'dea4f2fd63133d6f', '6a770609acf21a54', 'faec00f5ad1203b9', 'dbb0eec549cb5e45', 'c0c21b050511ef76']; context = [[38, 72], [25, 54], [46, 77], [101, 140], [57, 90], [0, 30], [39, 72], [137, 174], [107, 142], [28, 66], [139, 176], [137, 175], [22, 61], [53, 82], [87, 119], [67, 102]]; loss = 0.027300 low_pass_filter = 0.300
+Epoch 0: | | 9139/? [1:27:52<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000,train step 9140; scene = ['61c1aaa67eea39d0', '6558b85c9ac3b0e3', 'b9cba9ecbe5545b4', 'f94c0f8d82c1bbfb', 'b90e9986496ec9dd', 'b47d79c158df940a', '370c89acaa45185a', '88228785b1d84b5e', '9939b4381aaf7427', '4411ae95c7e5029d', '01e5a931a368c08a', 'bd2f1a3acfaafaac', '283f97b69a040590', '56ab4d88ec3cac58', '7ceaff866deb1fe6', 'cee85cd29d8808d6']; context = [[38, 75], [115, 154], [7, 40], [2, 39], [155, 188], [28, 58], [104, 135], [14, 47], [121, 153], [49, 88], [72, 102], [24, 54], [29, 62], [5, 38], [16, 56], [38, 68]]; loss = 0.027102 low_pass_filter = 0.300
+Epoch 0: | | 9149/? [1:27:58<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 9150; scene = ['3b4f1606efe949df', '9e5b301443a4e4e7', '273d38e69ae4e7ab', 'bf6c3bb4273bb482', '9335c0a02e4383e6', 'ddf23ac21281e688', '1307574e6ab07d0e', '8f93ab80df48a143', '645bdd61301d7e81', 'd05ca04016dd15aa', 'ec1978c494e59410', '78eaba283994c8c6', 'b04e5c227aff1e96', '689bbb5e507bc181', '410f4bb395cc0603', '266a25ea018c3991']; context = [[27, 60], [167, 196], [26, 66], [2, 42], [17, 57], [25, 65], [110, 141], [136, 168], [27, 60], [11, 42], [109, 148], [33, 70], [40, 71], [73, 112], [63, 101], [44, 78]]; loss = 0.026018 low_pass_filter = 0.300
+Epoch 0: | | 9159/? [1:28:03<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000,train step 9160; scene = ['95d0bc74a6cb6410', '9dff9a317da1d49d', 'c9f16c5c526ddbcd', '02ea4129dd5d7b3d', '1e97fe5dfd5c79a7', 'cf977b0362ca2e4b', 'c3f48d66e8da8bbc', '02ecb10e9363e210', '1d6248d4db20fdc3', '3101e062e990fb4c', 'e81379351dfd7263', '5ab84da28337a82e', '7e8e4fc21d873b5f', '658fd2565c2cd3bc', '3d24db7c9cd49075', '26e37e586c020680']; context = [[54, 89], [50, 81], [24, 54], [8, 43], [27, 56], [1, 33], [12, 42], [92, 132], [182, 216], [13, 43], [1, 35], [14, 53], [7, 38], [37, 77], [7, 37], [7, 45]]; loss = 0.026265 low_pass_filter = 0.300
+Epoch 0: | | 9169/? [1:28:09<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000,train step 9170; scene = ['00c14be5659b7fe5', '013c589d4f2ec409', '6eae271fb9939971', 'c59b6f75d304391b', 'fd1af2cf0da71b4e', '9fbbb95fe1cddb74', '05942c4e02b982f6', '2f04d4aea94eada2', 'da0a014448440c00', '6b8eed37ef5bbb26', '477b299b36c39b44', 'e3f00fedd66a5a18', 'f52a6dc5163500e0', '1da393563ec599b5', 'b8efd88159a680e2', '550724ff9b83397e']; context = [[86, 115], [186, 216], [36, 66], [71, 100], [23, 58], [40, 75], [22, 51], [5, 36], [3, 41], [59, 97], [20, 58], [10, 44], [46, 80], [34, 63], [38, 74], [32, 72]]; loss = 0.026885 low_pass_filter = 0.300
+Epoch 0: | | 9179/? [1:28:15<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 9180; scene = ['0a34b018c664a8d9', '480284b9570c6f99', 'af1e0e38c0da060c', '78d31bc844cb6ca3', '3352dc8efda190e0', '36be11bd06d2ef68', 'd7e6c0b3ac09c6cf', '05f76b85aa906dc8', '1fdf19d7c4402d40', '51b6e63c903275b4', '7d890b7b3665505d', '2e3f54363345e299', '1e0d33d113426065', '45e462394d584b16', '14421a21370bd814', '311a8980ac58da1b']; context = [[72, 103], [65, 105], [227, 265], [20, 55], [201, 236], [50, 90], [2, 38], [8, 47], [19, 52], [214, 254], [10, 39], [36, 65], [0, 33], [114, 151], [18, 52], [52, 81]]; loss = 0.028240 low_pass_filter = 0.300
+Epoch 0: | | 9189/? [1:28:20<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 9190; scene = ['8cacc3596b722653', '028c6f1113a68969', '4fbefae3f03e9f33', '8404eae21432063c', 'e5a4dcf034c38fc7', '1864a988dcd127e8', '32ca420636e7498f', '0154dcafdf387a0a', '8195e8de2d85356c', '06dd8772e77b7738', '7b18ad4131a3c318', '78086fc839b55dff', '2745f6d6846847d3', '5a7cc6854438d617', 'e0aeb18b259372fa', '901da44e3786eac6']; context = [[93, 132], [3, 33], [16, 47], [3, 40], [2, 32], [152, 183], [90, 126], [63, 96], [33, 73], [10, 46], [4, 40], [39, 78], [3, 33], [165, 201], [62, 94], [37, 70]]; loss = 0.022612 low_pass_filter = 0.300
+Epoch 0: | | 9199/? [1:28:26<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 9200; scene = ['c6cdc4c9282bd491', '5fe123b3d2013cfc', 'fa56d1dc39d8ea78', '1f9ce370806c2704', '6f948a4959c98bed', '1c23d32dd0f64dad', '30ff59fc98384f54', '864f419062ce6d13', '64400d6b30972461', 'e253357e3dc7986f', '660e0b0fa857b7e8', '6a8096005ddc4f82', 'd5d5a1e1db7e243e', '9d11a876559d60e4', '59d502128ed2a093', '30ea75ac0d308229']; context = [[242, 276], [172, 212], [46, 82], [10, 50], [187, 227], [159, 191], [37, 71], [16, 52], [27, 60], [32, 70], [37, 68], [96, 126], [82, 114], [38, 78], [127, 160], [206, 235]]; loss = 0.026665 low_pass_filter = 0.300
+Epoch 0: | | 9209/? [1:28:31<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 9210; scene = ['d5c7ec433b929542', '27f1e5e997cbb35f', 'ff84efd73a79db20', 'dd6a99f9e257bba4', 'd9ce36aa8de182bc', '64082c7dc15fa79d', 'a9bf3348f1e83705', 'a943ba6f8905b420', 'd347f976ced5d74c', 'ede92a46c8dd0f52', 'dfa7a182916c12e1', '8cff663bbb394999', '8d6d63fc0319773d', '3f1ba6d26920ff8e', '773fe8698a0eb7ab', '9966fa446a4eab97']; context = [[66, 96], [7, 37], [168, 205], [62, 96], [0, 32], [109, 148], [105, 138], [50, 87], [48, 77], [26, 55], [1, 30], [26, 60], [102, 139], [15, 50], [63, 95], [53, 91]]; loss = 0.030532 low_pass_filter = 0.300
+Epoch 0: | | 9219/? [1:28:37<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 9220; scene = ['2504c4c9dd301ee6', 'dd2917211969e260', '3a6c71c919d08e44', 'da6c310dfbb63199', 'd0e7ac78921f8c07', 'f60373796216b3e7', '39dae4692d7b82da', 'd800d4da5605b3d6', 'e63cb12fc52c36c6', '11360d957e7fed26', 'cfac893736d0c31b', '16b46bf7b3709c2f', 'fe182ab98e3df748', '9aa246217e9c04ea', '265b85322352d5e1', '904ec56432f4a066']; context = [[0, 30], [104, 134], [49, 78], [133, 168], [53, 87], [111, 141], [31, 67], [18, 50], [10, 50], [0, 32], [185, 221], [179, 212], [71, 101], [42, 75], [0, 30], [124, 158]]; loss = 0.025043 low_pass_filter = 0.300
+Epoch 0: | | 9229/? [1:28:43<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 9230; scene = ['9e13cbf563b9747d', 'e63575e2657489fd', '1c5700ef1f66c707', '8163796864b51991', 'cd6ef3e285eb2d6b', '0cd01fdb58679bb9', '9da23c6a66bf2a7f', '582b42ffa44c4437', 'e04ac2d9763fb353', 'ac73c593c5fadbb2', '46ec28923c735944', 'c8f03a644eb68237', '30ee4fd9eccc6b9a', 'c2ad8a9ba52a66e4', '6a3f09ac3efff60f', '80577c02d0925e08']; context = [[14, 54], [19, 59], [4, 33], [135, 173], [26, 62], [12, 51], [17, 55], [104, 134], [0, 32], [74, 103], [5, 38], [27, 65], [3, 38], [84, 121], [63, 97], [22, 59]]; loss = 0.021784 low_pass_filter = 0.300
+Epoch 0: | | 9239/? [1:28:48<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 9240; scene = ['afbfb11da5517acb', '78729dc7fc839286', '970c8ab96a42388c', 'd1c4a0e0fde61f4b', '6856c108142f8615', 'e01fd52543c3109c', '07e15647254b6cab', 'fd5aa11dc66a75c3', '176290ff95c16e3f', '7d3be97db6025753', '9e511f66516b17db', 'a65c18f99fcf5f82', '800338faaca65953', 'efb590fd4b4eb0c5', 'b1567f860f304a96', 'e3e2b1c90271d8e3']; context = [[91, 121], [121, 161], [9, 39], [88, 123], [13, 47], [105, 134], [32, 62], [85, 115], [19, 58], [43, 74], [113, 147], [32, 68], [22, 58], [8, 45], [0, 29], [158, 192]]; loss = 0.026120 low_pass_filter = 0.300
+Epoch 0: | | 9249/? [1:28:54<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000,train step 9250; scene = ['b13bc8cfc7773063', 'badbbc71ceac3641', 'fb0aa00f96d016fb', '8f51811a81f8b55f', 'b5ee30ee1caab19a', '694f7574abd152a9', 'ba9bac4198a51d76', '82b3148fbfdcf4ec', '4851fa48e250c7a9', '2377d1ff1f1b7f23', '4d3d250d83adc2a8', 'c4683228d9e80db9', 'aea85ab6f7b1ef63', '206553caeb36aac8', 'e12794d33944d104', '148537ca7721ce60']; context = [[106, 141], [41, 74], [47, 77], [5, 39], [2, 33], [9, 38], [149, 184], [49, 84], [28, 57], [33, 70], [23, 53], [161, 199], [16, 52], [8, 43], [3, 33], [11, 46]]; loss = 0.030828 low_pass_filter = 0.300
+Epoch 0: | | 9259/? [1:28:59<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 9260; scene = ['d68565483c9b4696', '98a1924100186241', '2b5e6d0ebc0b794d', 'c7329bdb7df9f49e', 'e310d39b3b13542e', 'f47ce554c1100cc0', 'ad6382d589e53358', 'd426c64fa2b71ff8', 'e83f2a56d8c098e2', 'ddf55954b077bbeb', 'bd15af2177366253', '48608b5e820962c5', 'd6820efece05e85e', '9559990c1ce5c206', '9046b906e0747a38', 'd5f301b7bd22ad8a']; context = [[62, 91], [83, 120], [39, 77], [30, 69], [8, 42], [99, 131], [33, 70], [7, 36], [110, 145], [28, 67], [68, 106], [111, 143], [21, 53], [54, 90], [149, 178], [21, 52]]; loss = 0.026209 low_pass_filter = 0.300
+Epoch 0: | | 9269/? [1:29:05<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 9270; scene = ['8cb4470c0c7f0985', 'f44605ccfe673d4c', 'f919bf589008481c', 'aa89328fd849d813', '7dff7cc241357591', '89fd30333a66d781', '2c6fc82128274bd2', 'c7d2800105ae3669', 'fdc53d78156ed9ba', '95306ec7c18fe2aa', '50863a3be6590b17', '740530267134cd5f', '650e6f2ad859a7f5', 'cfae8689c0568699', '3566daa8c63d47cf', 'e7dd065439cbb857']; context = [[101, 131], [16, 47], [13, 49], [6, 46], [17, 54], [11, 45], [11, 49], [37, 75], [1, 34], [2, 34], [26, 56], [65, 103], [48, 83], [12, 43], [15, 51], [1, 36]]; loss = 0.027323 low_pass_filter = 0.300
+Epoch 0: | | 9279/? [1:29:10<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 9280; scene = ['76341617c3507c21', '0a1dd3e1f6524f08', 'd331518102a154db', '47ede36a3b0a9ac6', '9838fe9fc1b18412', '4aef69f68bcb332a', '1e7515aee6314e7e', '7de98f273b4d8c10', '902494b1d15a4ffe', '3d3388e0ce470fc9', '6ab7ca8a673ff6c8', '002bdb7ee61c492b', 'ee4076dd13067fba', 'c0b39f7150688ac6', 'a3c52e17a3569170', '1d96d42281a14794']; context = [[6, 39], [30, 64], [13, 43], [190, 220], [13, 53], [30, 71], [3, 44], [84, 119], [134, 163], [117, 147], [56, 86], [97, 128], [61, 90], [14, 55], [16, 54], [109, 138]]; loss = 0.027219 low_pass_filter = 0.300
+Epoch 0: | | 9289/? [1:29:16<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 9290; scene = ['08fb209705cee001', '13ea9a2f890a7e5d', '041619ff29c07a62', '0a16fa8f89158d72', '530e301346b04ad9', 'ce4dc15358ce3325', '406fde294fa23770', 'ef63515e69035648', '0428a189c6851f5c', '41437dd431c3ee5c', 'd28a8733293f559c', '2900d72b03228c17', 'ac594627880fdbff', '8785cbf4976baccd', 'e0d0771727087c6c', 'e4a42950792173f1']; context = [[40, 76], [18, 50], [26, 57], [37, 71], [5, 40], [33, 71], [44, 76], [175, 212], [58, 93], [8, 40], [11, 52], [117, 150], [95, 126], [1, 36], [225, 263], [118, 148]]; loss = 0.029287 low_pass_filter = 0.300
+Epoch 0: | | 9299/? [1:29:22<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 9300; scene = ['83e5e3c86685140b', '8c3341ffcf21f124', 'f05393ca393eb8da', 'c52515792bedecd9', '33c8c67a9ea6fedd', 'd49e67a8f12257f1', '802e6169f7469048', '030147dcc38c03ea', '5ea64595f58c3671', 'b3ab77c6b4280a91', '9ba492f71643adcd', '685287c58b99f901', 'b185095d30859c1f', '3a7d3ceffc107473', 'e4eb21913a18ad33', 'a3a6ca42f6e72973']; context = [[2, 35], [17, 53], [182, 221], [21, 60], [6, 44], [35, 65], [34, 73], [0, 37], [45, 79], [28, 65], [128, 167], [0, 41], [179, 211], [104, 144], [5, 38], [23, 57]]; loss = 0.026183 low_pass_filter = 0.300
+Epoch 0: | | 9309/? [1:29:27<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 9310; scene = ['7f407bcccf32d9ec', '52cc0ae108971258', 'd3e8c029f7ddfaa0', 'e4007568f51e07ce', '8a4818ab2308dba5', 'f12525f7becadc47', '819b6af73885034e', '42a3daae34acb6d0', '3522956c0f83534d', '7dd4d8b4dc082dd4', '829dee1b037f367e', 'b8e76ea0476fe482', 'ba67f70b5b0ec072', '3f62f46c54c21cf2', '23d89b926a4e9ada', '33d44d22ca5117fd']; context = [[37, 78], [64, 99], [17, 52], [66, 104], [10, 40], [8, 44], [72, 104], [35, 66], [4, 35], [13, 44], [52, 83], [2, 35], [39, 68], [5, 42], [1, 31], [17, 48]]; loss = 0.027840 low_pass_filter = 0.300
+Epoch 0: | | 9319/? [1:29:33<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000,train step 9320; scene = ['d722e55b32424dae', '3333768ade9bae8f', '0faf6d493edc4914', 'a44aac7c4a36172d', '9ce015e049e794f1', 'e019f256c86c3ffc', '2c2893932017a26b', 'de0b5f163df22bac', '279f2ecc43905a1a', '835fcebe0e9a911d', '003c67ed6be72aeb', 'fd69db1d82a60c93', 'af3cfd1df1bd7d6c', '5c805e87d1acc7ff', '83840d718c0c6462', 'a221a85eb7d833b1']; context = [[0, 31], [13, 52], [114, 144], [0, 35], [18, 59], [12, 44], [44, 78], [23, 62], [75, 112], [86, 117], [11, 41], [138, 175], [16, 46], [89, 119], [101, 140], [50, 84]]; loss = 0.023274 low_pass_filter = 0.300
+Epoch 0: | | 9329/? [1:29:38<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 9330; scene = ['6e47696f41c1858e', '92305aea6a445399', 'd9dd6e0b1550b1ee', 'fe2c764518e7a72a', '8fba4dda8330a838', 'dcfd07d4a022b226', 'eefdafedf732e5b0', 'c74969cf2d6052dc', 'f1eae9bf3eb4bbbf', 'b48b1adbf6c01e9f', 'e81941e5c1fe55cb', '1ff9a4a3b6e51631', '7d0d149eccb8b61f', '5eadfa9632f7fa08', '2fc39ef41d033bbd', '2182f82243b1b557']; context = [[33, 71], [42, 76], [2, 38], [156, 192], [50, 84], [37, 73], [0, 29], [83, 122], [23, 54], [43, 80], [33, 72], [38, 79], [14, 44], [74, 108], [87, 124], [155, 187]]; loss = 0.030033 low_pass_filter = 0.300
+Epoch 0: | | 9339/? [1:29:44<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 9340; scene = ['b9829efc41051928', '12302e01dbbf3067', '3218c763368e277d', 'dedb887c8670af93', '84670c3b39f59b38', '4fe25643ef91f4a3', '964d888d8d08f2aa', 'd48eac88de473e67', '8f15c5ccc01cfdd5', '18fab33114eb4b24', 'acf6cfa881ce0e5d', 'dbccef9c3dabfe90', 'd6a89c16aaab7af1', '3f71dccb016a848f', '9d156dc70e89888b', '3443a368dfa7d6a6']; context = [[5, 45], [213, 253], [23, 56], [145, 184], [16, 46], [11, 51], [145, 182], [147, 178], [147, 182], [97, 126], [144, 177], [0, 34], [18, 50], [58, 89], [7, 37], [40, 71]]; loss = 0.029450 low_pass_filter = 0.300
+Epoch 0: | | 9349/? [1:29:50<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 9350; scene = ['4b8f8220c32ae94e', '0a41b171a01b0296', '0f737b3540b6ef3c', '3706add84fc44372', '0f5d5b92ce2aca3c', 'e512661bf75c3a7c', 'edd6edfb48780892', 'f9540970fc8a58cd', '0f714589074ad057', '3f6f6c90783da13f', '0745d537fc1aec73', '60f8dae5645cd128', '89a157ea50b44d8e', '42e8ce77eb573d3b', '658a1b41b954b052', '830ae97d2cd7c39f']; context = [[3, 39], [26, 67], [1, 39], [17, 54], [14, 54], [20, 59], [138, 172], [19, 60], [22, 62], [61, 93], [156, 185], [108, 147], [21, 56], [15, 48], [5, 34], [16, 48]]; loss = 0.025401 low_pass_filter = 0.300
+Epoch 0: | | 9359/? [1:29:55<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 9360; scene = ['917a89fdc7272009', '09857c20a9b14df3', '51e6b1d7cd013f21', '5eee3bba5d8a0af0', '05a005f68ecccc2a', 'df7deb08bd35cc9e', '9159925b118937a4', '5dccd30e3c943574', '184fb534f9aca4da', '3bfec395b8c94681', '4afa06236618dc34', 'b783fd026ee69b9b', '053fa3b31bd31cf6', 'f1107a1bee7889a2', 'b708eb4026ae8eec', '0dd89c7680c86b9d']; context = [[20, 58], [39, 78], [49, 87], [92, 127], [71, 109], [21, 55], [9, 43], [50, 89], [57, 87], [5, 43], [17, 48], [161, 195], [26, 58], [116, 149], [6, 38], [7, 39]]; loss = 0.025962 low_pass_filter = 0.300
+Epoch 0: | | 9369/? [1:30:01<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 9370; scene = ['2557d505c19c8b3d', 'ac9475b5f8128e87', '890e703ff66e180a', 'd4896139155e24c5', 'd8f9cdd66d5a9ec5', '67d352381d7a7b70', '5f73666742e21b1f', 'd5823a68b648b87c', '94e215648c3a36ce', 'f6e4d0c5dc9c8416', 'f8bfadf2a2db58b1', 'e036a67fbf65ef41', 'ff0fdcef9ed61fe8', '965ab371f3fb588f', 'a80ee48cc67b439b', '29b0d579d639f287']; context = [[78, 116], [30, 67], [13, 52], [19, 57], [6, 37], [15, 48], [27, 66], [47, 81], [97, 135], [40, 69], [56, 85], [5, 40], [15, 52], [63, 103], [0, 35], [36, 65]]; loss = 0.024108 low_pass_filter = 0.300
+Epoch 0: | | 9379/? [1:30:07<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 9380; scene = ['0296e319701adeab', '241601d1769307d3', '019cb5972c83b8b1', 'ca426ae9f14b62b0', '0400ae2f8f9d11a4', '38bf775d94c91313', '1d551aaae4e7bcba', 'b701a44de44e6712', '1dd9690bd5cc0fcf', '81b0ef8a758fba61', '104239f3585cef56', 'c817f950848090ec', '9ff58706e510fac5', '0cd6f4841a15ea2c', 'c533cd77b9d83394', '6da546cc88d60c4e']; context = [[105, 138], [14, 53], [0, 33], [65, 99], [36, 75], [39, 69], [22, 56], [110, 144], [64, 94], [4, 34], [36, 75], [13, 53], [99, 131], [7, 40], [27, 60], [5, 39]]; loss = 0.022108 low_pass_filter = 0.300
+Epoch 0: | | 9389/? [1:30:12<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 9390; scene = ['9fbb521a4d947ef6', 'b04e73f999394039', 'b71f1c4d3f3e11b7', 'b06e72eb3136c5e8', '240ad84c83b28925', 'e6ea6d241b13591c', '66cb26d49732078a', 'acc62473df85b047', 'd53fc98a3d2e0354', '9a8eb979640612b6', '4f32974a69fcd472', '7555eb436f9bdb19', '974d35536552dc22', '122a42c5df06bb9b', '55526866fcf56e2a', '57a1c0730778cddd']; context = [[20, 60], [1, 33], [0, 36], [49, 88], [36, 75], [49, 78], [8, 41], [2, 32], [88, 120], [9, 43], [29, 60], [38, 68], [17, 58], [62, 91], [58, 98], [5, 44]]; loss = 0.026138 low_pass_filter = 0.300
+Epoch 0: | | 9399/? [1:30:18<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 9400; scene = ['031417a3cbe6fb9c', '3285acf4e36fa9cc', 'ae607ae68787458a', '3a2c878e7c867c5c', 'f603fb7c184a9103', '552fe4256228068d', 'e73c983fceb6c907', '1133663b914f2b24', '46ecb89a64c0c1de', 'ed0a1cc02c8e4c4c', 'ad6f19259e566310', '96ce5de416a83b88', '00eb40d5943d736e', 'b82626b72a875d21', '21b9ab8241a464ef', 'ed41dd96081cbfd3']; context = [[23, 63], [34, 70], [29, 60], [11, 46], [93, 122], [53, 85], [219, 260], [0, 30], [221, 255], [37, 71], [107, 137], [0, 37], [18, 49], [7, 46], [32, 70], [0, 33]]; loss = 0.027393 low_pass_filter = 0.300
+Epoch 0: | | 9409/? [1:30:23<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 9410; scene = ['c16723fbcb761f4d', 'c59110b12726b62f', '23e0a517e66cc53b', '0be1eb8ed3b0fdd7', 'deeb1333c82b68ec', '4221d9dc852be4a4', 'e4aed2d05890fccc', 'cf38796bb729a8cf', 'f094dfed58e91480', '61aa53cc53799ae9', '1992e8528cef1a7b', '3f9aa6eca48e26da', '39b7742780c1f28c', 'a592370324d5bbdf', '500a00cd01d9c7a9', '0fda9cfcef23a269']; context = [[86, 121], [67, 108], [4, 40], [18, 59], [24, 54], [122, 160], [7, 46], [32, 72], [51, 91], [51, 89], [70, 106], [10, 43], [35, 76], [120, 156], [33, 71], [9, 49]]; loss = 0.025491 low_pass_filter = 0.300
+Epoch 0: | | 9419/? [1:30:29<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 9420; scene = ['db1068e12f5eaa38', '43b393f9fbe8c744', '109a2b4e200658e3', '907b7d7de96be38b', '0f619919bfa5bbb9', '0e78e5535435bd04', '7c408d9b7886fbd5', '7c8078a55752bb8d', '76bb3998ec399bef', 'b0015817f627808b', '6d80b398b3a8a9fd', '62883e8bb34b9fbb', '514262c4e8b18609', 'f3b57f2536c06064', 'bd32d7b21541c1af', 'e6ecd26a61666db6']; context = [[15, 50], [80, 110], [31, 70], [29, 61], [4, 36], [190, 223], [115, 145], [13, 49], [62, 95], [7, 42], [33, 65], [37, 68], [38, 75], [31, 70], [98, 131], [113, 143]]; loss = 0.024119 low_pass_filter = 0.300
+Epoch 0: | | 9429/? [1:30:35<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 9430; scene = ['202ec6e6a4765626', '4388baf3cc57d396', 'ad923f1df8199a76', '58fbf7415b5f94d2', '767b618a563c7623', '5c62cf786dbe00a8', 'e5ced938ccba70aa', 'ae89438718649d1d', 'a162cdb8ce63cec4', 'ce33babd90a5ad2e', '3ff0da4ffa65091c', '4d0c3e56bda4fd40', '1b038d91bdcbbf7f', '2fc891cada0f22a9', 'c8510dd2d98c4de1', '1cf2b8e0bc0a89ec']; context = [[47, 79], [7, 39], [4, 39], [37, 74], [7, 44], [2, 36], [31, 61], [33, 67], [62, 100], [105, 141], [28, 66], [48, 84], [20, 53], [10, 42], [106, 146], [10, 45]]; loss = 0.025341 low_pass_filter = 0.300
+Epoch 0: | | 9439/? [1:30:40<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000,train step 9440; scene = ['b071ad8689db9c26', '2b0577494f564adf', '3e8747e482515c2b', '90a59555e1643296', 'c1287b8d9c79bd88', 'cc6afbdc106752c8', 'adbb618cc73e270f', 'ce3f27fe9657e8fd', '56eef01b1b4d5a42', 'a73be355bda8a283', 'ea72c253cf632767', 'e21b493b2dfbb0e1', 'd84d473049f9d6df', 'fe95d4af8c50f45f', '4b5c213f3cfd6c3f', '40eb61f6f262db4b']; context = [[168, 198], [7, 42], [87, 125], [53, 89], [162, 196], [60, 93], [17, 49], [1, 37], [20, 58], [59, 99], [7, 46], [133, 167], [83, 118], [73, 113], [23, 58], [41, 77]]; loss = 0.027359 low_pass_filter = 0.300
+Epoch 0: | | 9449/? [1:30:46<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 9450; scene = ['52b984bea1f78ad6', '37fc78ec8f502ca8', 'd7ea3145a7a8262b', '12e7764d11953827', '6f66b328a4e34622', 'bf04cf9b68b3fac8', '47da7cc68759850d', '4f95468a4da9e2b0', '1f4c07d97e1d3933', '85297a2bcbc4a715', 'b6b7b0eae11d61d6', '17e65ef21ff522f9', '60cd7c110878bdb4', '3a26de357e2efd16', 'dffbd50f717a2075', '80852727f76f2089']; context = [[9, 50], [110, 143], [27, 60], [3, 33], [4, 45], [152, 189], [51, 82], [80, 114], [32, 71], [10, 40], [12, 45], [36, 73], [35, 67], [23, 64], [72, 113], [44, 81]]; loss = 0.021907 low_pass_filter = 0.300
+Epoch 0: | | 9459/? [1:30:52<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000,train step 9460; scene = ['25aa323aabbe5b51', 'bf5905b88057d933', 'b6e343e58476e518', 'e8b2c8101ed20ada', 'ca21a226fed668c0', '64ffda972d8fa3a3', '784d526c21f7a7e9', '5c521539a781d58e', '39e360f77dc7c928', '3b4911a700295aac', '7f56895856d87e26', '2d746af0682cba3a', 'f5e853419c79ba74', '01049871f9386ff4', '63577fc4dff23de8', '7f1b737c232c590c']; context = [[12, 46], [38, 69], [62, 99], [26, 62], [107, 145], [26, 66], [199, 237], [9, 40], [4, 36], [32, 71], [142, 175], [23, 63], [23, 64], [15, 55], [3, 36], [81, 113]]; loss = 0.026431 low_pass_filter = 0.300
+Epoch 0: | | 9469/? [1:30:57<00:00,  1.73it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 9470; scene = ['391c225f2d89a186', 'b6fd5085cd94fb12', '2d4274c201aa3953', '488f101dac781951', 'f289353b04210ce2', '4f37cf41bcd303b6', '3d180f7db4ceac89', 'd1984e967dd06eb0', '9fa44f00235340df', '0c293d0a8ef0d3aa', '0eb636ce2b575fbf', '0b8f2051807ee7dc', '163f24b2f0443e8e', '499d86e3dec59f3b', '3ba35e378f244891', 'da36c8d245c38f27']; context = [[124, 165], [39, 69], [12, 52], [27, 57], [42, 83], [150, 182], [34, 64], [21, 57], [4, 43], [26, 66], [36, 75], [56, 87], [57, 90], [69, 104], [83, 121], [111, 142]]; loss = 0.023329 low_pass_filter = 0.300
+Epoch 0: | | 9479/? [1:31:03<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 9480; scene = ['69c909f45ea50a31', '2fb09555bd650643', '9af59d6b0e6d80ba', '07c2529ac314f932', '791a8c311bda31d0', '08573a54ffbed332', 'fe09fbcc7217f075', 'a2611d3a2917309c', 'f1789e98aa1ed5c8', '1115254066cc1476', 'a65ef54b0f6cec2f', 'efc61426e83c812c', '2c61c4c2a252057e', 'a53c93ca22ccad14', 'fda3d2a0b1634f99', '14b4a87eca54c72a']; context = [[0, 34], [17, 55], [33, 73], [14, 46], [81, 119], [43, 78], [7, 42], [105, 145], [53, 86], [27, 68], [30, 61], [15, 48], [19, 52], [28, 63], [0, 33], [153, 183]]; loss = 0.029383 low_pass_filter = 0.300
+Epoch 0: | | 9489/? [1:31:08<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000,train step 9490; scene = ['4d873311d7febb22', 'd26b7e922c01a42c', '9ede7fe8bd8d7f13', 'afaacdb33c57fd95', '87a283e357cece3f', 'd1ab1dff073d6d37', '47dc67897b5ed04b', '47998e79ea520baf', '99f954aa675fb74f', '203636cf0b2f7d99', 'ab6cd47b1ae67af4', '735bf267b3553a6a', '8fe2890aa478023a', 'ab4e375b399fe29a', '9e3070f594378795', '65339c35edabef23']; context = [[31, 69], [81, 119], [41, 79], [147, 185], [10, 51], [82, 114], [73, 107], [20, 57], [16, 50], [40, 80], [16, 49], [74, 115], [91, 127], [52, 87], [62, 96], [3, 36]]; loss = 0.027537 low_pass_filter = 0.300
+Epoch 0: | | 9499/? [1:31:14<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000,train step 9500; scene = ['e47634b0f5f5e6ff', '00cdf8750f5182cc', '06021e71c89de687', 'c7ff883d4ef56b7b', '7aec8305761aba3c', 'e04f7fb189a186f2', '974f8bf4f55b941b', '039f60e42dce9e90', 'cba4fb922ec2d6d4', '0421b2f436f8639b', 'db03fc84a638ede6', '62a3405c56eb738e', '2e4d851f9306e3dc', 'f1cba6bbef111bc4', 'c85eadbc32f2adb0', '040c698e24e08ed0']; context = [[113, 147], [76, 110], [54, 86], [178, 219], [206, 236], [56, 94], [0, 31], [32, 72], [30, 61], [59, 100], [1, 34], [58, 90], [1, 36], [8, 39], [179, 218], [25, 62]]; loss = 0.025308 low_pass_filter = 0.300
+Epoch 0: | | 9509/? [1:31:20<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 9510; scene = ['06a2cc8ce16ae941', '19f0598ab55869ef', 'da5f57f3a1ec4bd7', '25e5e7cb35dd9129', 'e3cd94a50b1b4070', '41b859c2c1082df4', '37de93f90823339f', 'c14e41b5efd90e77', '890521ad9b8a40bb', '191f822dc7fa0c96', '30acb971c9074776', '6c461ad05bd11de0', 'f69ea3d4400b7e81', '742da951005a3ff5', 'f660faddf8e7c064', '62008345be9d5772']; context = [[141, 172], [7, 46], [48, 85], [13, 45], [16, 57], [11, 50], [53, 89], [55, 86], [5, 44], [46, 87], [18, 54], [240, 274], [134, 165], [16, 51], [114, 150], [9, 49]]; loss = 0.026875 low_pass_filter = 0.300
+Epoch 0: | | 9519/? [1:31:25<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 9520; scene = ['dff181c503e5c202', 'b730ba2045aa78eb', '66c3771cf7cb96c2', 'b86f3ce1bbc34571', 'f97c2793d856bf9a', '550411cdc1322414', 'ba02405928d0a4aa', 'd2de8aa86cea4852', '5b102feeee66dff6', '96ee7fc11117a67f', '40ea50b25d5808fe', '3be599773b6276d3', '15209b5fbb6b8b46', '1b4bf668832e3786', '9ba7ffd700b4159b', '00b40cafaa3a389a']; context = [[105, 138], [96, 132], [54, 86], [6, 42], [115, 154], [72, 113], [17, 55], [9, 47], [111, 147], [15, 50], [151, 191], [1, 33], [60, 94], [65, 97], [33, 69], [3, 36]]; loss = 0.028292 low_pass_filter = 0.300
+Epoch 0: | | 9529/? [1:31:31<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 9530; scene = ['32d7ff686f72221e', '506d1a24243d0c56', 'ea357cfdb1ebe90d', 'bd2dcb0a4d2b8645', 'ac0e2fe64dd03fb3', 'a4c5e65a8a1fba1a', '474c45efe1818b56', 'b06d31ad3cf3c91f', '9c507b0e969d8f40', '861999e4623fbc46', 'fe52b77f0328d7be', 'a564a6846e90f759', 'accb755285389002', 'ecb694088ae78f7d', '41281499ddf2fbd9', '057968bb7adf0b33']; context = [[19, 50], [244, 278], [21, 56], [40, 77], [34, 70], [166, 201], [57, 91], [45, 78], [159, 199], [87, 125], [171, 210], [8, 39], [55, 96], [238, 272], [14, 51], [6, 47]]; loss = 0.025403 low_pass_filter = 0.300
+Epoch 0: | | 9539/? [1:31:36<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000,train step 9540; scene = ['0b31e02e9b30d53f', '650c97a5d26d16fd', 'a9319dee9251ebe6', '5449702e7a248c83', '59d453d9a3928400', 'e7f8f1481b01c222', '66726f5afdab740e', 'f2e6470ad27f495d', 'df3eace7286b16ff', 'bad9d8fce9a88d31', 'a3abe0c419b12a6d', '0ba513fbd074377d', '975302d5f959f41c', '8bbabafb6a0d2572', '977cd2725f6a4297', '3718696ac560ea92']; context = [[196, 231], [157, 198], [173, 214], [20, 57], [76, 112], [26, 63], [118, 159], [43, 80], [13, 49], [40, 75], [232, 273], [28, 62], [10, 43], [26, 59], [112, 144], [66, 96]]; loss = 0.028236 low_pass_filter = 0.300
+Epoch 0: | | 9549/? [1:31:42<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 9550; scene = ['a80189fe08a0edd6', '4d9d95d4a2eda32c', '7c57600e31e85604', '599229267f8aecef', 'fbdb2585231bcee9', 'eddccfb13a700e19', 'eca1e97782041b82', '80f041deab809da5', '9268d50de3052c96', '3ac7d938a795a0f3', 'e866dd5ed712269e', 'f471c754cab8aa43', 'fafd9e0fbb9517b8', '0a1e750a4a0d5a2e', '5c886fb149e4cc36', '458eeba74b812c02']; context = [[25, 65], [76, 106], [9, 42], [4, 37], [104, 139], [141, 181], [11, 45], [1, 38], [41, 82], [3, 35], [1, 31], [2, 34], [43, 82], [86, 126], [27, 63], [30, 71]]; loss = 0.025353 low_pass_filter = 0.300
+Epoch 0: | | 9559/? [1:31:48<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 9560; scene = ['3f457f654a0e55ff', 'bd3000ab2c36932c', 'd461a810204d6b4c', '57cfebab95eff038', '34eee1cd916180b6', '705f8b32e2369ab6', '65d259c21ebad0c7', '39562390d25ab1f7', 'a6f59b6fc78d8962', 'ca0c530a8b07385c', 'fab8cf437b00bbb8', '135df50182880756', 'ec08dd73107e5569', '9de2baa98d2b5ee6', '341c99184f643485', '49769bb690975222']; context = [[9, 44], [3, 40], [7, 45], [37, 71], [40, 78], [146, 182], [134, 166], [216, 257], [60, 99], [13, 49], [57, 89], [11, 42], [64, 104], [103, 139], [26, 65], [38, 75]]; loss = 0.025934 low_pass_filter = 0.300
+Epoch 0: | | 9569/? [1:31:53<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 9570; scene = ['34cfc00abdcd512a', '051226ccfe5e094b', '140c3d5ef7a7552e', '57835f1d5104a129', '9dcd75331e841483', '76eebb57797f6686', 'cb6fa53ea702a2af', '827871f237fdbe1f', '10672316482c3ee7', 'b984c6d3cf0516eb', 'f84e10e8aec82922', '7dbd9631683c5ae8', 'cac37e977aa56490', 'cb9d0d7099e2f296', '334eb53845f3615f', '7426a108ff0bd8f0']; context = [[4, 42], [34, 72], [117, 151], [141, 181], [54, 88], [0, 40], [21, 57], [84, 117], [57, 91], [83, 119], [41, 79], [64, 100], [7, 41], [25, 64], [25, 56], [65, 99]]; loss = 0.028132 low_pass_filter = 0.300
+Epoch 0: | | 9579/? [1:31:59<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 9580; scene = ['7fdd72e496bdd789', 'c0ded55f01f2472c', '3fcf9f442304f5d3', 'a971b3d4b654fcd6', 'deac6c1bc870db57', '86730e14cf45077e', 'e209814caf886ff2', 'fb3926ccaa7ce567', '11a485ef06f84a25', '48e35e779b8bd99c', '2c2d6873128e014a', 'b68ed170d10cf1a8', '4cc6fa6dc966f1bc', '16af37ee77aeaae7', 'dc11fe3737ec6ce9', '4352f5ecbeaf4b69']; context = [[30, 71], [5, 36], [20, 52], [74, 112], [64, 105], [41, 81], [11, 51], [87, 123], [27, 65], [47, 82], [15, 52], [135, 172], [67, 102], [6, 43], [222, 259], [74, 106]]; loss = 0.027482 low_pass_filter = 0.300
+Epoch 0: | | 9589/? [1:32:04<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 9590; scene = ['87936316747fec41', '84278f38e03eb055', '2635e85202abf905', '4e47cf8a0b5e46fa', '5efafc624bc57c34', '85bd140b5d588f8e', '139ea1df8d7f576a', 'ad0c7854290bb67e', 'a0c8c3af0eee5a8a', '0aa2ad8ed112f05e', '09c054099b4e7450', '653f2e3ae30c6720', '6cfbe30216126142', '4f7592dffa986b7b', '3bffe257fcca540e', '3b405ae88aee9885']; context = [[47, 88], [94, 130], [3, 33], [8, 47], [0, 32], [58, 92], [142, 182], [3, 41], [50, 86], [166, 201], [21, 52], [88, 127], [29, 67], [3, 36], [4, 45], [133, 170]]; loss = 0.025939 low_pass_filter = 0.300
+Epoch 0: | | 9599/? [1:32:10<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 9600; scene = ['5873cdfb303368a8', 'b4ffa1f6d55b36d5', '694b55576cadcfc0', 'b0442470142e211b', '7d1fec00044efc66', 'd60fde062314a282', '9e379fa440d61fbe', 'f680164af3370245', '0b3f191324b209a5', '1a41eb1e3be69b00', '1987e5287cf07ea9', '6f0f0133f8cd5eaf', 'a48c2ca51c2f6577', 'd96f4644b2bc561a', 'e91ad187bebc2b26', '5e78af90c3e5d57a']; context = [[125, 156], [139, 176], [9, 40], [72, 109], [1, 38], [15, 54], [118, 156], [31, 65], [178, 215], [2, 32], [14, 49], [9, 43], [8, 40], [40, 76], [23, 62], [37, 76]]; loss = 0.025010 low_pass_filter = 0.300
+Epoch 0: | | 9609/? [1:32:15<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 9610; scene = ['1bceb09e66d92e69', 'ecc967837b29dcf8', '9f1a608d1347ccef', '9c09eaf37515bfb0', '6c84f14a6cac1574', '089622d662597220', '7ff92e29cbc1a0dd', '75ae63a846122094', '3de63e0d27173373', 'aeea05a91f0fa062', '7599842c18f9e0e8', '30de684928c0292a', 'aadbd867f9b14e0e', '174b9b8d56204204', '7db24579515c9c03', 'a0b88ff1fc110540']; context = [[4, 39], [25, 63], [23, 53], [30, 66], [30, 65], [223, 259], [11, 44], [48, 79], [33, 64], [34, 69], [3, 38], [0, 33], [3, 40], [34, 75], [71, 107], [6, 44]]; loss = 0.028913 low_pass_filter = 0.300
+Epoch 0: | | 9619/? [1:32:21<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000,train step 9620; scene = ['68a3b46fca433cb2', '970767e29cf84f39', 'd260d88bf073d9cb', '31b2b4402ca020d6', '9ab202bff0564dc6', '53e3cefb76e02bed', 'c2f0d80406d86b11', '539b45d381a384c1', 'a50ad10fbaf3944e', 'b382d162cc864f82', '89a259054c86c2b8', 'd9e0fbd08e604fcf', '209a430849ed8266', 'b308d11f761f3807', '8c6c789f025a5e42', 'bdfb7017a16fb8ff']; context = [[33, 67], [103, 141], [0, 30], [55, 92], [1, 37], [0, 40], [237, 269], [15, 51], [9, 48], [9, 49], [57, 88], [37, 71], [10, 50], [17, 48], [7, 46], [82, 112]]; loss = 0.027853 low_pass_filter = 0.300
+Epoch 0: | | 9629/? [1:32:27<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 9630; scene = ['9293552a4fd9e9b8', 'b8961e144a31476c', 'd65a5c1a8affbdf7', '19be4b64d871cacf', 'c6c47a9a7955b1ae', 'd6a5761361d47e69', '924787511c18e2b2', '58d5f032e4b73bac', '0fc1d3eb152ac269', '9753f8322c482c18', '4d6eb04ec12514ea', '776ecd6b307e8f49', 'af29adcca541066f', '7d28d9be17cc753e', '4a8407cf03055f82', 'bdab4452012d21c4']; context = [[98, 133], [13, 49], [11, 49], [43, 76], [0, 37], [47, 88], [56, 97], [2, 42], [2, 33], [8, 41], [23, 58], [13, 46], [22, 53], [38, 77], [0, 37], [7, 48]]; loss = 0.026761 low_pass_filter = 0.300
+Epoch 0: | | 9639/? [1:32:32<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000,train step 9640; scene = ['7e85b8181b1fb058', 'bd56736d1e772221', '8c1ce54a9dcbb3fa', 'c87449940235f48e', '08eba97ab70a53b9', 'b05956f4d856f617', '7d1f1a0e18d49747', '7ed803931e2b7125', '631fadaea18e58bb', '675f6247a673b21a', 'd20bd318d76a2570', '6776654a549bc238', 'c51f822be909372b', 'b2a34524405f79ff', '9bb10fc846b3d2b1', '124c9f059bef0478']; context = [[6, 39], [2, 38], [1, 35], [215, 255], [73, 112], [206, 245], [4, 38], [2, 35], [15, 51], [154, 185], [37, 74], [107, 138], [145, 176], [30, 64], [12, 48], [0, 31]]; loss = 0.024487 low_pass_filter = 0.300
+Epoch 0: | | 9649/? [1:32:38<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 9650; scene = ['46feebcb8a06d358', 'e8185625226bdc84', '7a0cb96230343062', 'afc173cc0972dd2b', '860dadf8da924a9c', 'e694c343f4b5bf59', '67144be03a04c9c9', '5ee9b11a61c46984', '4599933ba9ddb585', 'ccda7bb9dfce5c1d', '32701c869bd8dfb8', 'f5e3b37b1b2b5f62', '251b033c6bbb0256', 'e8f80504a64dc7e5', '3cca155053b89326', 'e066d9d444f847ba']; context = [[166, 207], [145, 175], [45, 79], [134, 170], [5, 37], [9, 47], [25, 65], [7, 39], [9, 46], [46, 82], [78, 114], [26, 66], [174, 207], [218, 252], [25, 56], [123, 164]]; loss = 0.024784 low_pass_filter = 0.300
+Epoch 0: | | 9659/? [1:32:43<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 9660; scene = ['faf893d2ab0ac2ae', 'e1ddf41bfff8e633', '012269104853a520', '55ccd9a655c33142', '2ee7a79a967f4bde', '893c6774f4081075', 'bcbf50461b51de13', 'e7d623f1e30baded', 'a7e747c29ec529d9', '5d638056c203c0c1', '61801b2fcfff5c6d', '02ca568f4fb100e8', '56b2322682ff3abb', '7ee2d5de1dd77651', 'e2913c4dd06c4066', '7e39fb81346877c4']; context = [[0, 41], [2, 36], [38, 69], [34, 67], [11, 47], [10, 42], [40, 81], [14, 55], [184, 214], [77, 113], [37, 71], [25, 58], [36, 69], [146, 179], [26, 62], [192, 223]]; loss = 0.031854 low_pass_filter = 0.300
+Epoch 0: | | 9669/? [1:32:49<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 9670; scene = ['36701189dc5f94ef', '6174715e9df77674', 'c326a47d6f346e43', '37321c182e5bf3ed', '9dfc77c50a277b26', 'cb2b1b55f3fc77a4', 'ac635718f0df20ce', 'd2a9abc9f488ab92', 'edfe56997f23fd03', 'e847af48e0a4f411', 'ee3aa9f733529ee4', '07cdcf1e89921c1f', 'a050ff56fbb4233a', 'cbf4f24d31aacf75', '3f53473da1f537be', 'c2dfcf83569faa75']; context = [[58, 91], [2, 32], [26, 66], [7, 39], [32, 65], [75, 115], [32, 63], [5, 43], [21, 53], [6, 41], [2, 42], [48, 83], [18, 56], [176, 217], [19, 51], [142, 174]]; loss = 0.030569 low_pass_filter = 0.300
+Epoch 0: | | 9679/? [1:32:55<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 9680; scene = ['35d21e2bd3e505be', '40afe34a720b2555', 'b4129ddd2e8d9ffb', '6bb5c60edea6cfbf', '1c3978a2a10683ed', 'efbe907be10f9dc1', 'a10c07334630554d', '4ac2a29fadf3852d', 'a539cdd0182bcc7b', '72a9c61ce291388d', '47bbe5be6d1a1faf', '42dbc601fe2ef235', 'e806c8996c08edcf', '9a7592ed3d928a81', '6a4023f9a3212fdc', '31d5682b2f1ea580']; context = [[8, 45], [8, 49], [3, 40], [52, 83], [41, 80], [13, 46], [3, 33], [7, 41], [106, 136], [53, 86], [60, 91], [1, 38], [203, 241], [224, 254], [125, 158], [134, 169]]; loss = 0.028722 low_pass_filter = 0.300
+Epoch 0: | | 9689/? [1:33:00<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 9690; scene = ['657d40112099caec', '104a8544cb466c6a', '0e501f15d2d170f4', '79259e9d15d21aa7', '9db02389f1e00f28', '9c763036f1d84e18', '5a2ad43377e9d18d', '67e69f3a4701dfd8', '13bf5f055a9014fa', '7759eccd562145b9', '788e3f2f61826f98', 'b91dfcb3102d1482', '9e5365dde25b7403', 'bbde6840d9d8b008', '0e4916077d990d1e', 'a597e94e50eb917a']; context = [[241, 276], [140, 177], [20, 58], [14, 51], [19, 52], [106, 146], [1, 35], [7, 41], [2, 42], [31, 64], [37, 67], [25, 64], [28, 68], [12, 45], [9, 48], [245, 278]]; loss = 0.028601 low_pass_filter = 0.300
+Epoch 0: | | 9699/? [1:33:06<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 9700; scene = ['4ecd5c4f7805037c', 'ed8632210679231a', '9752656fbe957d0a', '6c026febf16b306d', '22705394017fbab5', '3e06c3307bd1421a', 'a4945b7f65c2e00b', '118e7cd595442071', '38fa4c9a06609db9', 'f6827cdee506b85b', '82926e34aeeddfce', '06a0287f3507e833', 'd2e4aecb868f00b4', '02e58ceb1fa9d4e6', 'c53258eb827277f5', 'a1c263e8b99e3d9d']; context = [[5, 37], [2, 33], [14, 49], [223, 263], [37, 76], [71, 109], [16, 48], [2, 40], [52, 84], [235, 271], [82, 117], [0, 40], [149, 188], [0, 31], [106, 139], [104, 137]]; loss = 0.024591 low_pass_filter = 0.300
+Epoch 0: | | 9709/? [1:33:11<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000,train step 9710; scene = ['d36abc3bb2e099f2', '088a3f79c608abd4', 'f8ad06eeaccd37eb', 'dad8b744cd8e2d6d', '773467e0c2dadcc5', '3a4bd5f5aa8919a3', 'c068006a34482758', 'd5b138f5c90dd265', '6d7a3ab8144faa43', '06a978db0d334b56', 'f3663bd0444d3f5e', '3dcc869dac9f202f', '843fe83814b8012d', '0c262b6bc566b453', 'ff68f1639ba712aa', 'e952c4a90e3e9b1a']; context = [[29, 63], [219, 254], [199, 237], [7, 42], [25, 66], [60, 95], [22, 55], [80, 114], [45, 80], [12, 52], [0, 33], [80, 111], [228, 267], [50, 87], [222, 257], [28, 59]]; loss = 0.029669 low_pass_filter = 0.300
+Epoch 0: | | 9719/? [1:33:17<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 9720; scene = ['d7eff3b592d43b5d', 'a610a0429a65252f', '785a6f3ff2cb836b', 'be6ef75da859e939', 'b3a1c03be2a34013', 'd8f3c1df8cd99206', '761e4cc8a44174a6', 'b488309344145da2', 'a6d10a076e16ca68', '29b8e57e47c3e036', '5461f5bda5a96c63', 'c3f698f6017a16e0', '15caba48886c6f68', '39422d0571911e76', 'e1ba571bfd9cab32', '60ac2ed64f533db5']; context = [[16, 50], [14, 51], [92, 124], [67, 98], [39, 74], [12, 44], [99, 137], [74, 107], [221, 257], [159, 197], [62, 103], [51, 81], [35, 69], [30, 69], [23, 56], [1, 34]]; loss = 0.027423 low_pass_filter = 0.300
+Epoch 0: | | 9729/? [1:33:22<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 9730; scene = ['f8c1caf3eab5b16c', '97c0bf305efadc77', '40ed2cb104667242', '9e1a163a4b26ae11', '5cc16e3f7aaf0112', '4930a1bdadca5861', '31e356b9fe421e30', '78bf4639eab831ff', 'f8c51265453ae30c', '3bdcf30a816f96f5', '14c18b3853eed06f', '8309dedf60ef56c5', 'e05964b2d09ba2b9', '7159d6505aa199b0', '56f95247e77bedc3', '37fc71e2d5534f99']; context = [[41, 71], [48, 86], [36, 72], [26, 58], [21, 60], [11, 42], [19, 51], [158, 190], [10, 44], [65, 97], [2, 33], [5, 37], [169, 205], [30, 69], [40, 73], [36, 68]]; loss = 0.029666 low_pass_filter = 0.300
+Epoch 0: | | 9739/? [1:33:28<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 9740; scene = ['323f5e3ce1a6262f', '11373a7531640609', '6936190f2338e455', '4371a56503126532', 'ce4c27e415863b8a', 'e08993b4d6d78756', '5d1f56db44a99943', '3a2f53e5b3ebb8e2', '1a4a70d73a62334f', '2f9426ec71ba4b43', 'e4dcaf1b71eb8c94', '3be7f00fa13983d2', '730b321f2c6497e1', '1df1273a6516b04a', '3166ae87ee5f30ed', '26d20668bc51b63f']; context = [[128, 168], [74, 110], [12, 51], [101, 141], [22, 56], [54, 90], [84, 123], [24, 63], [1, 39], [25, 66], [36, 68], [19, 55], [22, 63], [161, 197], [81, 111], [26, 63]]; loss = 0.027876 low_pass_filter = 0.300
+Epoch 0: | | 9749/? [1:33:34<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000,train step 9750; scene = ['60d42bcbe69497c2', 'b4f2c7ee86d08c24', '2a010fc63a2a5bf4', '5babab14b5da8d1f', '0923f3552ad572f7', '35504747966f90b0', '62a9cdcfa2e55488', '3a31ed789296ce91', 'dbc8f6b8f02a5df6', '6d5adb44b0fcc0f5', '752a9ba05152ec94', 'eda41536796bf57e', 'dc74defbc8c8d054', 'fac84877f62bf4ac', '72e02bab04fb8c64', '67ec892c9487534d']; context = [[17, 57], [72, 105], [99, 139], [11, 49], [14, 44], [12, 48], [135, 165], [128, 166], [27, 63], [24, 58], [121, 154], [9, 50], [27, 64], [11, 44], [39, 76], [76, 111]]; loss = 0.025634 low_pass_filter = 0.300
+Epoch 0: | | 9759/? [1:33:40<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 9760; scene = ['6b67868d28e30206', 'ef7c1abe51c2e16f', '488750a485d29305', 'a856be05423bf9f5', '3c76d8218a2e0039', '8ff7592195f6c8fb', '0e571bee404ebce8', '6653743843f0d459', '91011e70f2ace193', '1ccf8e66b3204773', 'e3163ed6369a0cc5', '2e42cb5881b4a406', '1bd50f99c461fa1e', '32f5d4268f84fbd7', '3421821e39949234', 'a2a4bb9b88e3f271']; context = [[46, 85], [6, 40], [101, 138], [63, 97], [0, 32], [84, 125], [14, 54], [20, 52], [208, 244], [69, 106], [64, 95], [140, 179], [8, 40], [26, 64], [10, 43], [45, 83]]; loss = 0.027206 low_pass_filter = 0.300
+Epoch 0: | | 9769/? [1:33:46<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 9770; scene = ['d94f8b293f8e9f84', '87b52a9b88bab3c8', 'c988d1f30559d963', 'aa34d877cb4fbcb8', '903de461c7eda2a4', '64fe2e10e340ebc4', 'f1cbd0e2909c8ce7', 'a270004198eddd9b', '1849a41079039a3a', '2c0939fba79df7ad', '6a2a2ff9c392fefe', '22b1b9bebc0a0520', '4a3ff4b7939ec268', 'dbb7151643a69e0c', '0762d4d82b19cc37', '6494828a237a7a69']; context = [[50, 82], [55, 88], [165, 195], [50, 86], [3, 33], [7, 38], [109, 140], [149, 179], [40, 78], [95, 126], [2, 42], [54, 89], [156, 187], [104, 140], [3, 37], [5, 38]]; loss = 0.026200 low_pass_filter = 0.300
+Epoch 0: | | 9779/? [1:33:51<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000,train step 9780; scene = ['ae26c895abed5695', 'c03b5d44783fdafc', '90a032cca2f3549f', '2ea0130696f289c2', 'a09f861cea263471', '85dbd05a5249931d', '887a074e81e590c3', 'a295c966b22883f7', '3e00e3d2ffba3e7d', '6abe78a35109d3c1', '3d035b165731fa4b', '063cf0cd1ebf06d2', '78ac0510f29dcc4f', '95702bb71674167d', '7a26af750ba9ab8e', '8e678b31fbd4f0f7']; context = [[23, 58], [54, 89], [6, 46], [15, 51], [81, 120], [33, 72], [159, 191], [111, 148], [26, 64], [64, 98], [155, 195], [134, 171], [1, 38], [8, 47], [11, 48], [25, 58]]; loss = 0.029462 low_pass_filter = 0.300
+Epoch 0: | | 9789/? [1:33:57<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 9790; scene = ['8aad33b23262e8f3', 'f2fc0f05c9df5be3', 'f12a998cedc553f9', 'd959cfe7f662e07b', 'bf15144c156af1aa', 'bc72d42a14994709', 'd558e4281ca1d6cb', '272bac1205bc07b8', 'e1c8649e6bed74aa', '6c6fda8bc55937c9', '07474d128102d925', '2b1f5a804977a9c0', '64b2c628b9b981e0', 'dad5ebff7c618bf2', '6f21f45f8a98cd26', 'b624abcaa40a7cbb']; context = [[81, 119], [9, 40], [0, 33], [6, 36], [29, 60], [196, 228], [25, 65], [32, 64], [230, 271], [23, 53], [29, 65], [43, 77], [14, 52], [40, 71], [227, 258], [27, 67]]; loss = 0.026665 low_pass_filter = 0.300
+Epoch 0: | | 9799/? [1:34:02<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 9800; scene = ['0bfbd4e52e5beebc', '03d4213c72458935', '6c767949ba9cd00e', '6551bb0d65d43809', 'd9a139899167f274', 'dd315dbacb3d14af', 'f8e8aa4850d3463b', '64578d13c55ab20e', 'f763314077dee3f9', '3a0ea9f832ec69b1', '887c31fd60106dc4', 'e9d8314a8d2d8dc2', '343b0cc98e51610f', 'b651925fbd6adf04', '6468627058d16ef2', '62bfd0a1ecd6a33c']; context = [[8, 41], [23, 60], [3, 39], [50, 83], [22, 62], [35, 73], [3, 37], [21, 55], [203, 239], [153, 184], [209, 245], [4, 45], [130, 163], [17, 52], [54, 89], [13, 48]]; loss = 0.025284 low_pass_filter = 0.300
+Epoch 0: | | 9809/? [1:34:08<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 9810; scene = ['bedb0dffc6d80b4e', '1f4ff72d26fbd071', 'f896f057f530ebce', '12d54b02fe9d16e1', '3ceae7bf233b07e1', '568246aa43b60985', 'c2e363674f808d28', 'f77a260233eb16ba', 'c472a0ece0937100', '62aee613a1a82b79', 'b351d2c9017e65cd', '0e2c3ca96b8ff3ab', 'a1ff280651bb5e19', 'a0e36ca1c29a190f', 'a6dbe411d56e283d', 'eecf7db21e587528']; context = [[0, 35], [214, 250], [56, 87], [28, 67], [7, 43], [29, 65], [9, 43], [5, 43], [15, 52], [69, 100], [32, 65], [68, 100], [38, 73], [119, 159], [51, 89], [83, 123]]; loss = 0.024062 low_pass_filter = 0.300
+Epoch 0: | | 9819/? [1:34:13<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 9820; scene = ['9fd2226f90eab8cf', '7d2b086b7bfb58af', '949526d500c2d32e', '1fe612f2c515ebc4', '4b8a415797125131', '4dc9a7f436afff6b', '52ce0cbf5e3aa419', '2cb1e68856e68640', '321e71b0fa3a7743', '76b29d13a1a25fe4', '0b3eedee850521a5', '03f786b8eb33e189', '4686d80203cd7b26', '4970e1f83ae82834', 'a33114a79197c262', 'e1a001cc971f9549']; context = [[55, 89], [12, 47], [43, 74], [6, 42], [58, 90], [236, 275], [42, 82], [10, 43], [168, 208], [8, 38], [58, 88], [6, 44], [13, 54], [99, 135], [24, 55], [30, 63]]; loss = 0.026069 low_pass_filter = 0.300
+Epoch 0: | | 9829/? [1:34:19<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000,train step 9830; scene = ['0d523169ade73286', '7b2ab16242301c26', '9de46bb009a08fb5', '7bed3e8217b713f3', 'f2a392eaae0c105c', '7a01dc105832a420', '302b12949a8dfb69', '7d300bcf6be1f7f5', '4848cdb70cdeeb9e', '35ba3d10f027d378', '89096426f1642005', '4cfe80ef620a560b', '87b2c99d9954b736', 'f104ffb71d1a86a7', 'bf474b03f19b402c', '0c7cb5d7206b8f56']; context = [[109, 145], [29, 61], [34, 66], [56, 88], [2, 36], [43, 82], [124, 161], [18, 55], [185, 215], [20, 59], [43, 74], [89, 122], [89, 126], [7, 37], [21, 58], [98, 129]]; loss = 0.023541 low_pass_filter = 0.300
+Epoch 0: | | 9839/? [1:34:25<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 9840; scene = ['67cdb94d2911494e', 'b45542de72df7a49', 'bdff8b33200a0442', '2a91efabd709544b', '268412437e9d4613', '00c7f771cf92741a', 'b30ffcaff8599d24', 'b9af4d213b624caa', '70f118b2c78f945e', '13e9968df59dd316', '13de7469e2069270', 'fda79443837dd083', 'c97f7afd65090c33', 'bc31a831c7da94f6', '5d9af39b06a42cdd', '2cc61210378b25b5']; context = [[39, 79], [29, 63], [47, 78], [23, 64], [93, 130], [43, 77], [34, 66], [34, 66], [36, 69], [55, 96], [44, 79], [45, 86], [3, 41], [199, 229], [9, 39], [82, 114]]; loss = 0.028755 low_pass_filter = 0.300
+Epoch 0: | | 9849/? [1:34:30<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000,train step 9850; scene = ['d7b8aa8b102928ff', '33425a4e98c558b4', '33a019daeabebf46', 'bf7da55d3ef026cc', '9d73c0ab69eb6a0f', '7a20ba81fb778529', '1395aaf6dd0de7d4', '0a6ef06298ba3b4a', 'cc5279bd4e79c125', '88f0af68eabf0b4f', '50cebc64e0362f96', '826c7e44cbfc5d1a', 'c480e6dc234243a7', '7822e98d0f6f0d03', '1de58e1bb921e0c1', 'f26a68de5e50e0f2']; context = [[53, 88], [16, 46], [23, 53], [200, 238], [80, 118], [25, 58], [37, 70], [11, 41], [24, 65], [17, 58], [127, 160], [13, 44], [4, 43], [44, 81], [2, 38], [19, 59]]; loss = 0.027888 low_pass_filter = 0.300
+Epoch 0: | | 9859/? [1:34:36<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000,train step 9860; scene = ['28d5cec35a1749f7', 'dff0175065faf583', '454d8f6175cb6e11', '77f4aac23351985f', 'a3ce7bf7b8f862c6', 'dbca37f95c1d9d32', '6bb52911445f6e72', '1e86433c39f63398', '4748781f185e7376', 'ab0359882518850e', '8ae0299aa56c8f65', 'a5a37b8b2a392e23', '957adb04562c2656', 'cff80a18cb02c366', '25abb33f977bf810', '393cad5031f75f17']; context = [[40, 74], [13, 46], [4, 42], [17, 51], [129, 160], [51, 83], [4, 40], [101, 140], [38, 79], [6, 36], [48, 85], [190, 230], [86, 120], [57, 97], [18, 54], [62, 102]]; loss = 0.023868 low_pass_filter = 0.300
+Epoch 0: | | 9869/? [1:34:41<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000,train step 9870; scene = ['aead594134900395', '3df018bfa7d321c5', '7f9be765fc88ada1', '376a6730c79c8ed5', '30690a825a09d9b9', '517ab66f42f47693', '6f9bdb77b6ce8e74', '7ffc2c8f306ead78', 'c2c4a91bbabf2d59', 'fbe8be1f434b7471', '1147f33298fe1164', 'b3263bb9262606c2', '3dbcad1eebd8c8a7', '29c107478a356315', '9a1d44db3a25db6e', '86ad7073445c5301']; context = [[86, 122], [184, 224], [38, 75], [3, 39], [16, 47], [82, 119], [10, 46], [105, 145], [34, 71], [111, 149], [204, 244], [1, 42], [100, 130], [50, 82], [83, 121], [0, 33]]; loss = 0.028560 low_pass_filter = 0.300
+Epoch 0: | | 9879/? [1:34:47<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000,train step 9880; scene = ['f22bffdad4d6241c', 'deaa81a6b3573224', '62ef70041034583e', '70076cec70524e8b', '1260699ecb39ea13', 'b9aaf2719970d409', '00761c6dcec91853', 'a2b310636a3c8cd4', '67d5829158318fb3', 'f74bf752047c4a71', '881f4e6f9198afcf', '872c7890f41508b4', '9f2953eb6ba40d02', '29c266ed5d1dd889', '3b5d67521155f9cb', 'a0114e2b6cd504bd']; context = [[6, 46], [15, 47], [1, 36], [44, 79], [58, 92], [82, 116], [36, 74], [36, 76], [20, 59], [24, 55], [167, 206], [121, 151], [0, 32], [144, 181], [52, 86], [180, 222]]; loss = 0.024202 low_pass_filter = 0.300
+Epoch 0: | | 9889/? [1:34:53<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000,train step 9890; scene = ['7a9e2a1db5d0c45b', 'e7f820327fa7287a', 'b399dfbf864d3076', '45881f9f6f662df4', '2b00682d03aed4d2', 'e13d24cb77bd5842', '57b1333abbaea573', 'cef0e0c190ab9fb1', 'abfde28699b30961', 'd279c22ea49ca769', '1a59f8c89ca44487', 'd128e1f7a2e15ce7', 'd5773b15ed7b3bb0', 'f94fceb720e0f573', '3bebab9bf5b0dabb', '5419356104651133']; context = [[115, 151], [6, 43], [63, 97], [36, 73], [20, 55], [52, 94], [6, 36], [38, 80], [24, 61], [71, 110], [6, 39], [0, 32], [44, 83], [69, 110], [170, 207], [2, 41]]; loss = 0.036121 low_pass_filter = 0.300
+Epoch 0: | | 9899/? [1:34:58<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000,train step 9900; scene = ['b9ec2a6854380d1e', '4f5db81a0512d6d7', 'dfc565de14347c7a', '04d3e9038d34044c', '7f4f4c36b99de675', '37a3d41fc23257eb', '7beddbbec9bd694f', '4f86ac7e62ca274d', '0cdc9f502aa44e19', 'cd4669d9dc27e76c', '28d93545e3cd611f', '53ffb9c8d3fa4e6f', 'aa5c0363444a9aa9', 'd814de9932daf6b5', '32fa2f64dfaacf21', '90cd35aca00fdde3']; context = [[61, 92], [16, 49], [14, 55], [22, 52], [17, 49], [6, 41], [61, 92], [23, 53], [7, 39], [23, 64], [89, 123], [62, 96], [8, 49], [40, 72], [75, 113], [143, 182]]; loss = 0.028325 low_pass_filter = 0.300
+Epoch 0: | | 9909/? [1:35:04<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 9910; scene = ['e1213b82a155e7b8', '52fc7c5cf52e9927', '85aeab205d5c7e66', '02c96bc459a5f9ba', '0a01275bf1cc1246', '1d3e63a80a712914', 'eefb1b0935312711', '040b6137d21c580b', 'f7a49680ebfc586b', '35490369d093854c', '45e76a3def23beb6', 'eb6d7b709dc9794e', '3f65b48edee5d46e', '48e471ff8e04710d', '4bb27aeb5837c556', 'a7b83f26d25f8780']; context = [[11, 43], [10, 40], [101, 135], [15, 47], [22, 55], [139, 174], [35, 75], [43, 74], [46, 83], [21, 58], [147, 188], [175, 212], [14, 47], [31, 65], [52, 86], [127, 164]]; loss = 0.025255 low_pass_filter = 0.300
+Epoch 0: | | 9919/? [1:35:09<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 9920; scene = ['93fac9602a1702de', '86ddb8cd0b6f0741', 'b5ad3c2c360db727', '4700b4a628c6131b', 'e78668ecd87257dc', 'b7cc7c503b10b878', '45677926c908e6e5', '4fd26cdcd92cc984', 'ce81fbe67b6d91f7', 'd3416f0ed06a7ad7', '3b4f5b58eaa9e909', '165d9989e76cd538', '8db206b0faa1b032', '0e6408e3cf54fcbf', '5c0ebf927a51f486', '926ea8590afa806d']; context = [[29, 61], [0, 38], [53, 87], [73, 107], [33, 75], [18, 49], [31, 64], [13, 49], [38, 76], [7, 42], [18, 58], [186, 216], [1, 31], [0, 34], [1, 33], [118, 156]]; loss = 0.028972 low_pass_filter = 0.300
+Epoch 0: | | 9929/? [1:35:15<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000,train step 9930; scene = ['451c76fc9212f2cf', 'b71c6ef47553b7d4', '60d5111563a11aac', 'df282617d57f50a3', '75f9d1ec42531cec', 'd70a06a906f89de1', 'a9b48b6f3bc587ce', '8ae172ea64e32946', 'fa1264269f894875', '8be094c68b68576b', '7f0bf05afcfa7e6a', '9df4b5bc5499199a', 'ed5df817a5478d50', '1e2dc0f8513042ec', '13e3fa5e0bbe710a', 'ac85688b29e3bdad']; context = [[17, 56], [121, 151], [48, 86], [13, 51], [190, 229], [3, 35], [4, 35], [49, 85], [58, 96], [31, 63], [112, 152], [46, 87], [1, 35], [20, 51], [69, 103], [21, 53]]; loss = 0.026656 low_pass_filter = 0.300
+Epoch 0: | | 9939/? [1:35:21<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000,train step 9940; scene = ['15e5559d6bf884be', '94fcba8ce2cdc5f2', '57fe6fafb7acb801', '3c14d04df113da24', '341602ce1687140e', '4f5af60e4c54afa8', 'cbdad10abcc885e5', 'd78557c55e24d7c3', '20f4bf16c091cdb0', '911f605340053f93', 'e5aac76beaf7a0cd', '6fce0005228600cf', 'c8eec59d2fd27bc7', 'd2ef3a33cbe4626b', '37de3df2a5fe9be2', '28289a1404a1fffc']; context = [[95, 135], [25, 64], [26, 58], [21, 52], [150, 187], [9, 51], [170, 210], [166, 206], [1, 35], [0, 31], [1, 35], [3, 34], [90, 128], [48, 82], [5, 37], [124, 155]]; loss = 0.026483 low_pass_filter = 0.300
+Epoch 0: | | 9949/? [1:35:26<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000,train step 9950; scene = ['9e16686cff67cab1', '90c5b3052fd20e29', '2e3fba29b0ef9eb8', 'f7fc315b2c2ab371', '13e3f8416df0e4a5', '5cfa9a2995f6c3e5', '8b634dd80fe44d1d', '4ca19f3a5dea6391', '8dcb65a86df04796', '7697b3c244fd6d78', 'f4e2ad73e8e71b41', 'a6ac9800e1612d7b', '4fb7456109baffbd', 'bda52ecfcef87a70', 'f4169cc065e23946', '2e6a0cbdbcf21085']; context = [[23, 55], [70, 108], [18, 57], [48, 81], [36, 68], [4, 38], [204, 244], [10, 41], [39, 74], [13, 45], [2, 38], [41, 74], [41, 74], [14, 52], [42, 84], [51, 81]]; loss = 0.026568 low_pass_filter = 0.300
+Epoch 0: | | 9959/? [1:35:32<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 9960; scene = ['2db9f0491f5426e5', 'b2f344283c15005d', '8b33508d134238c0', '14cb2375e73a3bb2', '3a76f3143a76e29c', 'baafa2f6e960e2e1', '8c495b5341bc069d', '427f46e02cb986fe', '1e77bbf67bedbe2a', '58b1d2b874df8f6c', '0a8557008fd55c9d', '2cea12f37e8aff39', 'a3fb8e5afd05a541', '9bc4789064dd12a2', 'b733bb0772db7fed', 'dc4642c413a86efc']; context = [[1, 39], [3, 45], [35, 71], [104, 135], [11, 51], [10, 49], [16, 46], [1, 40], [0, 32], [8, 50], [94, 128], [63, 100], [21, 60], [16, 52], [74, 108], [19, 56]]; loss = 0.025857 low_pass_filter = 0.300
+Epoch 0: | | 9969/? [1:35:37<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000,train step 9970; scene = ['595a49693a902524', 'b438e71fc71a3e83', '47574b6b30aa47aa', '4aab38e2291002e2', '1466acc0fa317181', '3bd7a1c47b1b1643', '0b963fdcecb63487', '81e928bad764a5aa', 'd8a7542a8fa1663e', '67cf459986d45ea4', 'dbc26a0b15244145', '54acac64824de66c', 'e5bc10fc377c52e5', '4375d4fb9e407419', 'bbf7ebb5b844c6b8', 'bc8622b3fb602185']; context = [[8, 42], [70, 103], [19, 51], [103, 134], [8, 43], [36, 77], [148, 182], [96, 136], [55, 90], [58, 97], [3, 42], [22, 52], [27, 60], [18, 55], [29, 68], [106, 140]]; loss = 0.026022 low_pass_filter = 0.300
+Epoch 0: | | 9979/? [1:35:43<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000,train step 9980; scene = ['a09f861cea263471', 'a295c966b22883f7', '063cf0cd1ebf06d2', '85dbd05a5249931d', '2ea0130696f289c2', '3e00e3d2ffba3e7d', '3d035b165731fa4b', '01e4bd13a70c49ac', 'f5ac33bf99394312', 'bf2b8a204cdeb69f', '1d035bb092fa4113', '27d205da1f0f929c', '5da7fa4de4cc06e1', '7d7c1a7a22f3cb5b', 'fe29e91e88463528', '2e2bf237c3cc7aff']; context = [[37, 76], [117, 159], [149, 185], [22, 54], [29, 69], [162, 196], [150, 191], [15, 47], [62, 93], [181, 215], [10, 46], [6, 45], [8, 38], [51, 84], [160, 200], [13, 46]]; loss = 0.035150 low_pass_filter = 0.300
+Epoch 0: | | 9989/? [1:35:49<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000,train step 9990; scene = ['b6165abe3377faed', 'b480cb50d296f7ed', 'e5c83a76c5376846', '996373487155cb87', '59db387883f92945', '856cc0ade40a1c89', 'e390cddc191190ef', '44d8cb6fbc7d70cd', '3e10a47a93c8fef0', 'ea34ca9533790620', '3823c18cbc7012e5', '5058a979977a4184', 'd310ae67e900586d', '4f5f5fc918464b4c', '94662e1320792336', 'd9f535c4c69d09e1']; context = [[0, 31], [22, 54], [102, 136], [47, 82], [235, 275], [16, 54], [24, 60], [32, 70], [78, 119], [34, 67], [3, 40], [30, 71], [11, 51], [89, 119], [40, 74], [68, 105]]; loss = 0.028940 low_pass_filter = 0.300
+Epoch 0: | | 9999/? [1:35:54<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000,train step 10000; scene = ['b0dbf60f56f2a965', '9581703df313bac5', '15d92c198f64d235', 'd7ca3f1781fcc191', '05e080187c9b0d74', '8fcff3cd031b4ff4', 'e3c04c200b8cd9ef', '28c3c356d03fafd9', 'e113005fe37132e4', '7e5b418ccd14e32a', '210c8a7a9d409024', '1e3071384cdeaa3e', 'e12ccd28d49f666d', '9ba0f4168b2d242a', 'fef14a80de510898', 'eeb7b882f1c6ef45']; context = [[61, 103], [52, 94], [120, 150], [33, 66], [19, 50], [142, 181], [33, 65], [58, 97], [45, 85], [46, 80], [94, 134], [45, 78], [30, 66], [22, 64], [36, 72], [60, 98]]; loss = 0.030006 low_pass_filter = 0.300
+Epoch 0: | | 10000/? [1:35:55<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000validation step 10000; scene = ['be75142d4652fe3e']; context = [[178, 213]]
+Epoch 0: | | 10009/? [1:36:01<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 10010; scene = ['d751cbf65f8a1ff1', '1bb273edf1201743', '39f2d7aa4302fcf7', '1e17a9ea040d034c', 'f23ae001046f1119', '5778a7995f5faebf', '75ab031f87d75cde', 'd074517a27f42b13', '9af3593da4c1d27a', '9a1aaf5f24aa2a5e', 'ff28a57154e30bd3', '8e2322cd777dd1d3', '2560583c1c055283', '2e83f434f6fd8d6a', 'f3b2c02f309d6712', 'a39048679f06dbb4']; context = [[184, 221], [35, 72], [90, 125], [15, 55], [65, 95], [28, 61], [20, 50], [28, 62], [236, 273], [2, 35], [19, 59], [0, 39], [20, 57], [10, 41], [64, 99], [41, 78]]; loss = 0.024745 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 10019/? [1:36:07<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 10020; scene = ['be0f77ad0082e93e', '174ebd189316bd92', '22ca9bcb40ef523f', 'db6cd90de8fee2ff', 'da9ece76d1c9d94e', 'f8532bb5eca0e29d', '12f1a55c604c66b0', 'b703bdb45d172fe7', '0087cf27aa9e6167', '2629da604e80913f', '70c56631eef0de6e', '2c233ea19f5a5f34', '25280e32ba676f03', '0d8e5289e56244c4', 'abca120df6b75dbe', '5150534a7080bbe1']; context = [[215, 247], [20, 54], [30, 70], [89, 123], [10, 48], [10, 41], [125, 164], [11, 47], [10, 41], [22, 54], [13, 45], [43, 78], [13, 54], [119, 156], [236, 274], [43, 84]]; loss = 0.025656 low_pass_filter = 0.300
+Epoch 0: | | 10029/? [1:36:13<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 10030; scene = ['0f9b44ae51221943', '66b694fe836f9b02', 'd4869181c5a419d1', 'e088974b4405f213', 'a6d4934af5490d5e', '10e2fe472b780e8a', '32122cac3c13a456', '1b38fcd0ef3221ba', 'f61bc3eb312efcc4', 'e88c42ff2e168169', 'ea63941da20c6569', '696ee987af4ac6d0', 'bd4dc5d69a124ae4', '638b7d88c6bb21c7', '556029de0ce24896', 'db8279c362130b0e']; context = [[49, 84], [1, 32], [14, 54], [75, 113], [4, 46], [36, 72], [108, 140], [0, 30], [72, 109], [23, 56], [9, 51], [102, 136], [6, 42], [0, 42], [82, 123], [164, 194]]; loss = 0.026826 low_pass_filter = 0.300
+Epoch 0: | | 10039/? [1:36:18<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 10040; scene = ['859c9f522a98c5c3', '810baf013fd27f1d', 'af70bb56689e4028', '962ab4451c30479a', 'f83541c6c3766a70', 'd18c658cacb360e7', '1d5beb41beda4af6', '215aa6a4d48d04f7', '40e1ec4d9aa2c2c5', '0b0f20dd486b208a', 'c043b0c770a81f04', 'f5729c1f4eee619c', '867c2bb5fab7a6bb', '7e5756871781609d', '25b0f2dc07ebe855', 'a7ced7f8944eb3ac']; context = [[23, 64], [83, 117], [4, 40], [181, 217], [24, 63], [60, 93], [66, 103], [19, 60], [4, 36], [72, 102], [13, 53], [6, 45], [56, 96], [37, 72], [31, 70], [41, 74]]; loss = 0.024909 low_pass_filter = 0.300
+Epoch 0: | | 10049/? [1:36:24<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 10050; scene = ['1cff69e73b827bcb', '3a06d7ebb3cb5341', '9954c518245b7322', 'cf91287a73911ff5', '164e9587927eb0e9', '0ed741df4437c6ba', '8e1c0bc2d1f32fb0', 'd3af8e3b7f354487', '2ef0eef67b3b538b', 'd8d4e90e182baafb', 'db04d7442f7d6ef8', '0bccdf22914e2e83', '9fb5aabc62027f6a', '11269147bec6282b', '2353677596fbfd46', '3bf0650c715187ab']; context = [[19, 59], [13, 47], [19, 57], [74, 110], [64, 102], [15, 56], [7, 47], [149, 182], [20, 53], [32, 71], [61, 98], [212, 244], [47, 88], [140, 171], [22, 59], [36, 68]]; loss = 0.028204 low_pass_filter = 0.300
+Epoch 0: | | 10059/? [1:36:29<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 10060; scene = ['b82600c38de99d99', '656455571d1a56b5', '55ff32060bfc093d', '109b0c162bd046b5', 'af0c52c341b5890e', '3b0242b4bad31b9a', 'e5600b21d39ad14c', 'b24d544fda152e5a', '49332a47b7d84230', '84b45eaab0e1a392', 'b5ad26a8022c7109', '3c11cee85e2aa1db', 'eabad2d95553d207', '40ebc8fc8a219332', '397d81341a671bab', '732ecefd2b499986']; context = [[3, 43], [27, 59], [184, 222], [4, 44], [1, 40], [93, 134], [26, 60], [91, 133], [49, 84], [68, 100], [23, 60], [25, 62], [32, 62], [48, 86], [1, 42], [48, 80]]; loss = 0.027050 low_pass_filter = 0.300
+Epoch 0: | | 10069/? [1:36:35<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 10070; scene = ['8033aa6c2010ee73', '31bb52556c508299', '8a97f4f0954bda5b', '57925ea5b7531821', 'd775362664f1f768', 'f4b87c8ce7b815f4', '116d93103a2aa3b0', 'ca0b63e3f13cd7f0', '63c3d74c9f4ec264', '75a8c6b3cfd92eb8', '8c08d0f4c0dfc8a6', '86d1360e786d5674', '37273e37a2c3573f', '7afc07b02ee54c79', '6b49b064dfdce852', 'de012df6e6222077']; context = [[7, 43], [65, 103], [8, 50], [202, 240], [54, 87], [179, 220], [161, 201], [41, 81], [113, 147], [150, 191], [59, 98], [4, 42], [19, 52], [30, 71], [48, 79], [25, 58]]; loss = 0.025441 low_pass_filter = 0.300
+Epoch 0: | | 10079/? [1:36:41<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 10080; scene = ['76e4818391c788ea', '774362c41a2ecf5f', '9cb8cfd4c82730ed', 'd4c21b21fa236269', 'd0bfa2fc0c632563', '74812f0d1efedf41', '8bc37f0e5297a486', 'abd71f81b292d209', '5f3e924963ab36c4', 'f3dcced9d38fa6c1', '3e0aff49cbabd07a', '6e39991f48d99673', '48d50fa60bf26802', 'a5d20dc4aee7e64e', 'd9da7b0337345d3b', '8d07885c4025b4af']; context = [[59, 99], [56, 94], [3, 33], [86, 117], [113, 155], [85, 127], [27, 67], [35, 68], [10, 42], [20, 57], [15, 52], [112, 148], [42, 73], [23, 53], [85, 120], [126, 167]]; loss = 0.025591 low_pass_filter = 0.300
+Epoch 0: | | 10089/? [1:36:46<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 10090; scene = ['dd51e3825fb8400a', '66180223abaebc13', 'd550977e6ab72e54', 'c0cd96efb97299af', '29eb7537903248df', 'e125136b4495509a', 'f0ec6fde32d852f4', 'f7e299ca7ccbc897', '47261f4c960af669', '645a8988ce8fde03', '865f1084bb5394ac', '4de4d4cc91401422', '6f18dd963f7b02bc', 'ef4927a8829c2ba3', '3cb0a62af12e4bfe', '43728f475156cab6']; context = [[48, 84], [29, 65], [39, 73], [34, 65], [20, 61], [112, 150], [199, 231], [46, 83], [134, 171], [15, 53], [40, 79], [200, 234], [35, 72], [40, 74], [13, 51], [37, 74]]; loss = 0.026830 low_pass_filter = 0.300
+Epoch 0: | | 10099/? [1:36:52<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 10100; scene = ['f19b7c0f5aa40c31', '53c8ed7e5b5a87b1', '50ed74eb3943626e', 'c64ea38f6d3f6b4c', '81f004ba91540bed', 'ee23a3b386446cf6', '4ba7c242598f2e10', 'bb77afae1b2a488b', 'c634b4875dcf3f5a', 'c589be27060ee4a9', '0b4af1af6191e8c7', 'bc1160f12c4596f8', '5bb9e306c47d8970', '79b877514f557da0', '7d38125600bbb7dd', 'e1ea79f6e06eb4f4']; context = [[37, 70], [9, 43], [4, 45], [188, 219], [8, 45], [4, 42], [0, 41], [18, 48], [91, 121], [14, 50], [34, 72], [30, 66], [64, 94], [80, 114], [118, 148], [76, 118]]; loss = 0.030936 low_pass_filter = 0.300
+Epoch 0: | | 10109/? [1:36:57<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 10110; scene = ['650c97a5d26d16fd', '0ba513fbd074377d', 'f2e6470ad27f495d', 'a3abe0c419b12a6d', 'bad9d8fce9a88d31', 'a9319dee9251ebe6', '59d453d9a3928400', 'df3eace7286b16ff', 'aa15eccd1181530f', 'c8148ee0bb6e2bd4', 'c5a40c581d0b636c', 'a220fcb74c49b472', '6251bea5d95b50ee', '58fa6e49067e669d', '992bd4de19972ec8', '4523f9d14663bd9d']; context = [[195, 231], [10, 41], [95, 127], [154, 194], [79, 121], [95, 132], [1, 43], [55, 87], [23, 58], [106, 145], [8, 50], [77, 111], [12, 50], [5, 46], [16, 49], [49, 88]]; loss = 0.025417 low_pass_filter = 0.300
+Epoch 0: | | 10119/? [1:37:03<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 10120; scene = ['cf14d94f41c6e825', 'd159debd3f3ac5ec', '12fa5b60a2ba9d8f', '9296168b518b720b', 'f67ee51c76a6aa33', '6bb71ae77f76b7ef', '941a34a5fe903815', '547a595ec6671f74', 'bae66b8175d11647', '7d2242665e3a666f', '8290c21ca69361ec', 'bbd22864c2c8c4e0', '977e0053ae47e056', 'c6e7d2560cc98ddf', 'a557bfdcbd9558f7', '6359caddc3e33c77']; context = [[22, 59], [207, 246], [26, 67], [73, 115], [17, 53], [55, 88], [60, 93], [16, 57], [9, 41], [129, 171], [81, 122], [111, 144], [72, 109], [8, 46], [15, 55], [1, 40]]; loss = 0.026100 low_pass_filter = 0.300
+Epoch 0: | | 10129/? [1:37:09<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 10130; scene = ['da3a7d1f910a33c0', '026392b9abf82eb3', '64cc6af0c7229fb1', '568ae0add45d8ede', '83aea888bc500502', '7dc6d699abce873e', 'a57b68e727904b76', '7c8c185289523ea9', '946597adeb926d39', '6f23f69c381954e4', 'de783427084a7fc8', '1571604512ea65cc', '0b3211726fbabaa7', '58e4213c6d697774', '9a26558db223b906', '5dc6293c22fc8e52']; context = [[62, 99], [160, 201], [69, 107], [88, 123], [4, 45], [6, 44], [140, 179], [36, 66], [8, 48], [12, 45], [10, 40], [33, 73], [20, 62], [1, 37], [77, 119], [12, 45]]; loss = 0.028782 low_pass_filter = 0.300
+Epoch 0: | | 10139/? [1:37:14<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 10140; scene = ['cde93f65c4100d6d', '9fa7b7f29fe6c2fd', 'db4ec9038ac73682', '94e45c6e564caba1', '8fdabc1f0f3ac8eb', 'a2cdc40a197f913a', '9df5c1cb188a6550', '37fa9f636f4ade27', '5b7ab1a8989e1729', '3eb10f91b03318e2', '214eeca1d9687332', '4001bca52ac28925', '011a1765540790d6', 'd95573ce88bcad09', 'b1a0a95f2b59cf25', '9c04b2fd1b51976e']; context = [[13, 52], [158, 189], [12, 49], [19, 52], [121, 153], [69, 105], [26, 65], [30, 68], [8, 50], [85, 124], [177, 211], [32, 63], [35, 72], [35, 69], [10, 51], [10, 50]]; loss = 0.025570 low_pass_filter = 0.300
+Epoch 0: | | 10149/? [1:37:20<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 10150; scene = ['17b8b7257c104ad8', '10a6ea4d69a2134e', '4b73003325566332', 'c0ea1e538c691ab1', '09211f0cadc25024', 'a13c0e49a8eb99ca', 'bb549eb9f03846ec', '6591d9b1d5cbe20e', 'd7ca1248e911d391', '884d301a8603ad01', '2716f75acfcbbca2', '380f9a592d8829b9', 'fd5c8beb94f9eab4', '276126a691c32f42', '39bb3dcd73cc5cef', '6c5f5f8e45448ee9']; context = [[4, 35], [123, 157], [2, 34], [130, 167], [49, 85], [149, 189], [54, 88], [22, 52], [42, 80], [168, 206], [2, 35], [149, 180], [119, 156], [98, 135], [35, 67], [164, 202]]; loss = 0.023338 low_pass_filter = 0.300
+Epoch 0: | | 10159/? [1:37:25<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 10160; scene = ['1a98c811762bdead', '2a2334b39a65d2aa', 'aca30770bf5b5ac5', 'bf202c2307040974', '9755ef79f64c2805', 'acffd6c013609d84', 'e125136b4495509a', 'c0cd96efb97299af', '47261f4c960af669', '29eb7537903248df', 'f7e299ca7ccbc897', 'd550977e6ab72e54', '865f1084bb5394ac', '4de4d4cc91401422', '645a8988ce8fde03', 'f0ec6fde32d852f4']; context = [[166, 199], [38, 72], [239, 278], [204, 239], [37, 68], [59, 92], [1, 35], [31, 64], [19, 61], [4, 36], [39, 70], [98, 129], [27, 58], [130, 172], [12, 50], [124, 166]]; loss = 0.027997 low_pass_filter = 0.300
+Epoch 0: | | 10169/? [1:37:31<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 10170; scene = ['de764d0866fd6579', '9b48f28a886221dc', '329bdbc0098c68d5', '6e5b881edbc8853a', 'a33629c64ce117d4', '834119d6d119fe85', '784a7e6869056799', '16b4e82873823f23', '03006bb797c50398', '1451d07ad44cb6de', 'f949e83df942d2b9', 'ab575a725ad6929f', 'b109cf8edb8b0a43', '55bcb8bc3179a0da', '013e344bb17fb03e', '23640056e4b21902']; context = [[137, 170], [17, 57], [11, 42], [183, 218], [55, 86], [69, 106], [34, 69], [240, 273], [36, 78], [0, 31], [127, 158], [15, 53], [54, 95], [29, 69], [70, 112], [39, 72]]; loss = 0.025263 low_pass_filter = 0.300
+Epoch 0: | | 10179/? [1:37:36<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 10180; scene = ['8468c4228e3215ed', '76bedcb696ccbc7a', '540656c16216364d', '3d11abcfd05f507c', '630027801891d158', '5193a7aee466495c', '63af9885dcfadd96', 'dc4cde40cb53c448', '558e6d3b43990261', 'b20b69d74585d878', '10cc7bb061605d57', '741157d815e33610', '6df3bba71999762d', 'e2dd04a765274f4c', '203c06b60999429a', '4bd0d8b0f8411adc']; context = [[30, 62], [5, 38], [11, 51], [161, 191], [15, 51], [26, 68], [57, 87], [66, 103], [52, 82], [3, 37], [29, 65], [14, 55], [88, 129], [12, 51], [2, 32], [87, 119]]; loss = 0.029028 low_pass_filter = 0.300
+Epoch 0: | | 10189/? [1:37:42<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 10190; scene = ['36dbde23c0348a09', '3c76267fb0f773af', 'd48ae6a3fe44480b', '2cf0d1a531e44b1b', '37ab2b25da67703c', '7e8537b839206e01', '9ccc5cde64915693', 'ef95f2ebf8d94504', '97678ecce804cddc', '117732838b184c06', 'cdd97f2cdbd2c0ed', '5a0b9f8214689a94', '9193202777c91537', '931908e2ab43850d', '0ae05277b9b679bf', 'ec3c2ed561eebeaf']; context = [[15, 57], [36, 73], [19, 59], [1, 42], [17, 57], [89, 127], [96, 138], [184, 219], [7, 45], [20, 62], [9, 49], [3, 42], [0, 30], [19, 55], [71, 111], [155, 185]]; loss = 0.027322 low_pass_filter = 0.300
+Epoch 0: | | 10199/? [1:37:48<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 10200; scene = ['678d8464781a3de2', '7636a120c2dfd672', 'cf0209e7acde8329', '17e071f027c54b55', 'fcf74e68c2678dda', '66a04a4a5584e611', 'd261d26a10a93975', 'aaff3ba252aa4421', '6f72032f93d39fef', '3bb404adfcc380b0', 'c798126c9e920dcc', 'c3bc207f4af7ad46', '03d4ce90615f67c8', '7263addf40e8648d', '4b91e3d10a227be5', '6310e828b3588296']; context = [[45, 75], [18, 52], [11, 42], [59, 91], [23, 63], [244, 278], [16, 54], [4, 34], [53, 93], [36, 71], [6, 45], [9, 50], [124, 160], [10, 41], [158, 196], [50, 87]]; loss = 0.030740 low_pass_filter = 0.300
+Epoch 0: | | 10209/? [1:37:53<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 10210; scene = ['9a94cb2780659501', '2cb9c3437f7c49ee', '8d8164bd77101795', '55084c27914f79a1', '8bd6ffe4d866a42c', 'c3e041844bcd2ac6', 'e4b218e0985bc272', 'c3a0867c16fcd9fe', '116d93103a2aa3b0', '63c3d74c9f4ec264', 'd775362664f1f768', '75a8c6b3cfd92eb8', '57925ea5b7531821', 'ca0b63e3f13cd7f0', 'f4b87c8ce7b815f4', '8fb8882b02bc63aa']; context = [[78, 113], [145, 185], [20, 57], [60, 97], [145, 185], [8, 45], [82, 119], [22, 56], [69, 110], [223, 263], [22, 60], [234, 276], [227, 268], [74, 112], [162, 194], [209, 248]]; loss = 0.025378 low_pass_filter = 0.300
+Epoch 0: | | 10219/? [1:37:59<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 10220; scene = ['7c7e433716dbf8c9', '18eb65c4b5041a1d', '9b226bab17ff4cda', 'd331b5cc6afb6831', 'af427a905add98c3', '6e671f2213e723e3', '344c830b21870a79', '53c0505255ce7322', '7a75e735a35dad9d', '16fccc4a79f5d064', '80cd3bcbc1be5c9f', 'e72d26f6d354ec4d', '6e6fcfeacf855c0a', 'b963ab9d26b8da09', '8ce724e52ff6c826', 'ed3fb93bc5efc6c0']; context = [[229, 261], [17, 54], [3, 40], [50, 91], [2, 42], [190, 231], [6, 39], [50, 90], [43, 85], [18, 58], [40, 78], [14, 54], [42, 74], [55, 85], [7, 48], [0, 34]]; loss = 0.023677 low_pass_filter = 0.300
+Epoch 0: | | 10229/? [1:38:04<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 10230; scene = ['b54e57f20266a160', '881ecf84092af313', '3b4b06583ef8afc2', 'f09c5284e9c8c3c3', '1422cf3f2e02e72d', '4a63bd178446f4ee', '123a3de028d195f2', '5297fe0742137263', '0334648106e83ec1', '873445dc458ee3c1', '5d8c9450d32f7b02', '6beda690af8e6ca0', '1f8f3b58359c4a41', 'cae3b538e278db71', '7e1983cedab832bf', '5ff2a11b44e04f20']; context = [[4, 35], [2, 41], [14, 56], [67, 107], [40, 74], [209, 245], [4, 39], [88, 123], [43, 78], [1, 35], [1, 37], [45, 85], [7, 40], [2, 35], [42, 80], [86, 127]]; loss = 0.026106 low_pass_filter = 0.300
+Epoch 0: | | 10239/? [1:38:10<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 10240; scene = ['47d8f4be2be93a36', 'd23c63fc810f3d43', 'c3f121951504f029', 'f6ed403d51c084b2', 'f279ee0ac940c8f9', '87859560d110e619', 'a79878c670ca903f', 'f04708b15586fceb', '047e7dfc69533d85', '09f5ce489b61a6cc', 'e94399e61cdc8ee7', '6a2b388246b639d3', 'bd4c297469c2bc4f', '9e732e959082a6c4', '896a196ed2982af4', 'e381359e340285d0']; context = [[99, 136], [13, 46], [109, 149], [38, 72], [46, 77], [124, 156], [1, 31], [7, 46], [42, 75], [64, 101], [105, 140], [68, 104], [1, 41], [15, 45], [97, 131], [143, 178]]; loss = 0.028952 low_pass_filter = 0.300
+Epoch 0: | | 10249/? [1:38:16<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 10250; scene = ['69527b537b77e803', 'e71b3880b9c83ebb', '6bf7ab3fde3c1c14', 'de96cee44a164178', '70db603854f2299a', '0f9f0dbe244926f1', '75f1e3480cb011a2', 'fa45ba8993573358', 'f1e4898999cd9c1b', 'bf6ebb3bde3ab2e7', '3e0141cf661e700b', '24405bbc599acf26', 'c60772b5e4c787e0', '35744d288cdbb90e', 'a2132eb3ce0e461e', '79ddb9fcd6523d4e']; context = [[163, 203], [129, 166], [70, 106], [74, 115], [53, 90], [58, 99], [13, 55], [48, 83], [16, 52], [17, 49], [42, 75], [4, 37], [206, 237], [16, 48], [16, 52], [88, 125]]; loss = 0.028103 low_pass_filter = 0.300
+Epoch 0: | | 10259/? [1:38:22<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 10260; scene = ['fa77a863c2da0ea1', '8d3e4e77a45e967e', 'a6c66d8633b83c04', 'b2b502239affc312', '8b3902074e71704e', '7989113a25b74a5a', 'bf281c3beca8dcda', 'c6f4c3aa65a88c5f', '2dda31ef21375bcc', '55c9115b95dff916', 'dfec7dc54f83b108', 'acea14505d17a1a8', 'ba0dc746d711489f', '2cb87ab4ecc3c9ac', '5bd7b2cebf4a5e0f', 'a108bc62b80a0c93']; context = [[80, 110], [0, 30], [10, 41], [69, 105], [2, 43], [23, 61], [23, 64], [160, 202], [61, 93], [164, 198], [73, 111], [1, 38], [75, 114], [173, 207], [32, 66], [1, 32]]; loss = 0.027792 low_pass_filter = 0.300
+Epoch 0: | | 10269/? [1:38:27<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 10270; scene = ['3223635c785c9718', 'dd9bed08c152554c', '211ba20868a52208', '57e607bc8cd5d233', '435fe174264697a6', 'b0786461195f8d3b', 'c9778c0cbfd3c636', '7338e91f9be1db76', '13c1f831aaca856b', '07b8aa2dc7635b2f', '346ed616472bc400', '8a7332b3e4799e7b', '786fc7cc50193aa7', '6bf93a0798a3896b', 'd7742c4bef777835', '4a39d045c20fea1d']; context = [[52, 91], [27, 60], [12, 54], [22, 63], [108, 150], [90, 132], [17, 47], [20, 59], [110, 140], [11, 49], [125, 163], [55, 91], [3, 44], [29, 59], [14, 56], [31, 67]]; loss = 0.027857 low_pass_filter = 0.300
+Epoch 0: | | 10279/? [1:38:33<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 10280; scene = ['3670d3f2b5b53c15', '3d7f5076c683cc80', 'd27399ddbb98483c', 'b3c96d2c36c94425', 'b2a77d5fd2f6f773', '9095922ae071f31a', '1f2fe0d464f61de0', 'bcfb6fd4173ca1ef', 'bcbd422c5506815b', '13c1203193cd28c1', 'cd552e321923c4b2', 'f4e639c0c0c58d2f', '70433ba7c4f514ba', 'fc6cc5edd65440c8', '369e9677f8dfcfb5', 'e9dbcf860ebe7595']; context = [[47, 89], [88, 129], [94, 131], [139, 181], [17, 47], [29, 65], [39, 69], [62, 95], [20, 51], [64, 100], [185, 223], [6, 38], [26, 68], [104, 143], [72, 103], [42, 82]]; loss = 0.032099 low_pass_filter = 0.300
+Epoch 0: | | 10289/? [1:38:39<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 10290; scene = ['aea2977e5487333f', 'a6b4036e18b1726d', '31512ab7aa4486d9', '1ee2636c55442015', '8cd1fe5c1d816c1b', 'd523e761452a2ad6', 'bd9a045455201b8a', 'ae5e5dbd9e20ddf5', 'a9f713f9f59fe399', 'dc5fd47e44137f59', 'ea4dcc3cbc027917', '6e4d322827dbfe13', 'df05970fd15dc7ea', '48fbc623ea9e82c9', '97d29bd86a6ef279', 'b9c81998d729a211']; context = [[111, 147], [4, 35], [59, 89], [7, 46], [90, 120], [7, 47], [129, 162], [31, 64], [3, 37], [169, 200], [88, 118], [16, 47], [79, 111], [124, 166], [58, 89], [38, 77]]; loss = 0.036228 low_pass_filter = 0.300
+Epoch 0: | | 10299/? [1:38:44<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 10300; scene = ['78d73817c622b1c1', '9781be61f9af7b83', 'ab14f474323b2014', 'f26009799d9c5d1c', 'a69dc45afa4b2a5c', '2dcdffc63dd841f2', '88cf9a3fbae7b03c', '75626e6698e74ed4', '67b55b32d8ac395e', '3a8881f871a1c76c', '0dfcd6c745876600', 'a160ace4ab6efc87', 'd24b0c2028b42494', 'ca75f516d7d527ea', '9f7d72807c4d4a96', '78e2b7646aae4afb']; context = [[39, 78], [46, 87], [27, 61], [10, 51], [0, 38], [30, 67], [15, 49], [114, 155], [16, 57], [9, 43], [135, 167], [40, 74], [55, 88], [153, 195], [23, 62], [87, 123]]; loss = 0.025650 low_pass_filter = 0.300
+Epoch 0: | | 10309/? [1:38:50<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 10310; scene = ['cc599b021804a5b3', 'e228336cfbfcb179', 'c0d6891369eefbf3', '0d0d5f86ce65d2a0', '95a3ab26d547d0e2', '9f4503d0d8742970', 'ca2a9b1a67bf86d1', 'ff606885fba519dc', 'c260842ca527acec', 'ed4f2169411b4c39', '282c34d21fc592cc', '2ae25c1ef4ee35e7', '3f99cb9bcafde8fe', '399a3e5cb7ce3429', 'acef2a117f896650', '39affc04f4fec373']; context = [[49, 90], [79, 111], [2, 36], [76, 106], [56, 89], [157, 195], [12, 48], [15, 51], [4, 34], [30, 70], [44, 84], [32, 73], [7, 45], [7, 39], [29, 70], [15, 46]]; loss = 0.025576 low_pass_filter = 0.300
+Epoch 0: | | 10319/? [1:38:55<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 10320; scene = ['dad89dd6790ccf6d', '3dfece9e99bd1cfc', '4b0b542facb0dae9', '0da8b574deff87e1', '0468ca30d13a319f', 'b19f8544604ec196', '9151d4700890619f', '5348f27cc8d85489', '666a8cf59c4576c1', '841a952a015e0c85', 'eec299aee1793bf2', 'f40d76545b65bd96', '52f21eaa05923461', '53fef0109344d530', 'd73dae9e6ffe86dc', 'ec9405fe08e66141']; context = [[227, 263], [84, 117], [36, 73], [80, 112], [26, 63], [94, 127], [53, 92], [36, 70], [0, 34], [144, 174], [1, 32], [51, 91], [1, 43], [10, 52], [34, 68], [139, 174]]; loss = 0.034040 low_pass_filter = 0.300
+Epoch 0: | | 10329/? [1:39:01<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 10330; scene = ['8b6752d01e2fcf68', 'f63696fe0c69427b', '09c62d8362825d34', '8e01aed29e61a9bf', '386d858945eb1e3b', '3ea09d38127a3975', '87b4113d1fb5fadc', '1b52746e12c3a649', 'f46ab77b51367dad', 'a9bddee6b5508f7f', '35d38555a3bad2d6', '4e7f5c62bb1d90b6', 'be93db481f19ff62', '4c3f441c94d63954', 'f3db43d03174c1e0', '20e047bae95523df']; context = [[57, 87], [5, 40], [169, 206], [26, 64], [101, 132], [174, 206], [10, 45], [18, 53], [78, 114], [188, 229], [3, 43], [78, 108], [3, 34], [58, 100], [1, 34], [30, 72]]; loss = 0.028202 low_pass_filter = 0.300
+Epoch 0: | | 10339/? [1:39:06<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 10340; scene = ['754a52ce12b77483', 'f7f7f1a5b8ac1d79', '02fd9975b8ddd05c', '325bc79016efb0f5', '9b45b8e9b3c34d4f', '22328753a5ede182', 'b5796c53382a4a34', '42ac231638987587', 'aa91ddfdd406ade8', 'a81848e02110f714', '393b490d9f63512e', '1fe04853ea5bc1a8', 'a15dc8bbf7126147', '3da5927afd5ab7f5', 'e66560d04f8b710a', '9349497399743644']; context = [[2, 33], [82, 124], [111, 148], [12, 48], [193, 229], [10, 44], [64, 100], [73, 114], [71, 108], [93, 128], [185, 217], [24, 57], [114, 152], [84, 117], [112, 146], [30, 71]]; loss = 0.024391 low_pass_filter = 0.300
+Epoch 0: | | 10349/? [1:39:12<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 10350; scene = ['a42750e1e0a3c9ca', '0d05de7bd161c8fd', '895fa1fa9318bb6c', '940334dc257b987d', '90394a4c6c156fed', '3fe89efff3d1059d', 'da2089bb834c5d90', 'b29f6dd77451ab4f', 'a2fdff8f3ea9d692', '77f0316c73a1098f', '1c6199d31018d9f4', '513986b76c939519', '58c80e5820b75155', 'f7030da7965f4802', '52686964de0ddc8d', '200d9ecb37021957']; context = [[44, 82], [5, 38], [38, 70], [46, 88], [92, 123], [42, 74], [172, 210], [21, 60], [29, 67], [2, 35], [46, 78], [143, 173], [70, 106], [3, 41], [92, 131], [15, 55]]; loss = 0.024308 low_pass_filter = 0.300
+Epoch 0: | | 10359/? [1:39:18<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 10360; scene = ['c1de1786af79e763', '7a80b84436ec23e9', '32e20d9b2115340e', '2c38cddc6bb030c8', 'b4598653ccfd0f54', 'b0c960c65f62d755', 'c5aee3c108690dbe', '4d81bb017abfd365', 'b6a0ed82194dec33', 'ceb060fbe43f4ed7', 'c7891efd731cecb6', '50a66db80eba783d', '8ffdc128b3bba1fe', '796aa1c61f9698e4', 'a17a8bd5758eb632', 'cbb945f143df821d']; context = [[17, 57], [155, 190], [12, 51], [169, 201], [45, 83], [105, 144], [15, 46], [15, 57], [16, 58], [99, 140], [17, 47], [243, 274], [83, 121], [37, 70], [1, 31], [97, 131]]; loss = 0.030339 low_pass_filter = 0.300
+Epoch 0: | | 10369/? [1:39:23<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 10370; scene = ['617bd94137b51919', '91eee96f9be7ebda', 'ef25872785ca3f37', '25eeae41506761c9', '6ee2bb07a8bd228e', 'bb9122703d0446ac', '98c577bfe33e4dbb', '512ea563cd8f70ca', '943438bbbc464d68', 'f91fc5f7816a4cb5', 'f1ef7c1adc5ec36d', 'ef9870cbc94fe475', '79c4a5514b4df522', '7bb8d358ee6c9c94', '57798145cad91eeb', 'fc4a6c4868d6ec25']; context = [[13, 45], [52, 90], [72, 105], [29, 64], [151, 186], [61, 98], [226, 260], [0, 30], [27, 64], [91, 133], [77, 111], [16, 55], [147, 188], [57, 92], [1, 34], [140, 182]]; loss = 0.029575 low_pass_filter = 0.300
+Epoch 0: | | 10379/? [1:39:29<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 10380; scene = ['41905c60a21ef567', '2ff7da19974fe593', '861a970a54cc1efb', 'c403c63210eaef23', '8438f949cbd62c23', '996074b95549ba5e', 'd84372dc915c95e5', '04f090fd282ec1a7', '6ab869711e65a527', '3b6c0832b0286bf1', '28039ea78b84ff46', 'fc6f10f3b8a73c29', '85d5c64669a83b40', '581515abcd09a7f5', '55647264885c8a65', '24fc3a21dd069c0c']; context = [[45, 83], [1, 35], [9, 44], [6, 44], [14, 56], [9, 45], [39, 70], [110, 152], [135, 172], [11, 49], [67, 102], [1, 31], [34, 68], [8, 41], [59, 101], [31, 70]]; loss = 0.025549 low_pass_filter = 0.300
+Epoch 0: | | 10389/? [1:39:35<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 10390; scene = ['bbb0e9da2dddcfce', '5704ff301c085eb6', '8fa1f01dcf1e67ec', '4e11b2499f900054', '2ff050f5f09529d0', '6555cdd783806de5', '33847bd0ad0529bd', 'a16a56ae20e8fbf2', '270022f0b06e71d5', '874157e6587dd60c', '37ab2b25da67703c', '7e8537b839206e01', 'cdd97f2cdbd2c0ed', '0ae05277b9b679bf', '117732838b184c06', 'ef95f2ebf8d94504']; context = [[32, 72], [100, 132], [35, 70], [116, 158], [56, 94], [71, 110], [13, 53], [16, 46], [142, 174], [54, 85], [52, 89], [55, 97], [3, 37], [82, 118], [30, 67], [161, 196]]; loss = 0.025854 low_pass_filter = 0.300
+Epoch 0: | | 10399/? [1:39:40<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 10400; scene = ['0a5498f62d8f4e6e', '30bdb9819e21fbd1', '278650cc49eaa9eb', '14d48a7c4c9a1368', 'd7e416701d1c4272', '532786fdf5fd727d', 'bf1b7e39c2cac4bc', '1559e264c5f4c481', '10e11b3eb5bba7c9', 'd8c0b4ca0defd965', 'd5ae945909789ef7', '309060e859c57cc7', 'bb5bb772c9c01b1a', '6d49fec0fd3dbea0', '37c5b704883ea1b7', '73a06272f1314473']; context = [[29, 69], [102, 132], [0, 30], [17, 55], [27, 66], [3, 33], [31, 64], [10, 45], [3, 43], [59, 91], [30, 72], [38, 74], [50, 91], [50, 81], [0, 34], [16, 47]]; loss = 0.024755 low_pass_filter = 0.300
+Epoch 0: | | 10409/? [1:39:46<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 10410; scene = ['064ecca9bd5ae208', '081b7272025559cb', 'ca517568198b38fc', '23b084c9e1cdd885', 'b83a40334c3e05a5', '94d23695debabef9', 'a9e831bd27fc9d1d', '972cae9c88191af7', 'ae1ee4e16ded254b', 'd56484c4cebc5682', 'c2a67e26647c1e9d', '5ebfdb58f1c0f29c', '6bc023020d022733', 'efca5dfda44e51e4', '9abf1b568e15af72', '9de9ba92e959e7de']; context = [[65, 96], [98, 134], [12, 47], [37, 67], [3, 33], [62, 92], [76, 111], [101, 131], [40, 79], [34, 67], [66, 103], [36, 77], [14, 47], [28, 65], [13, 54], [13, 50]]; loss = 0.033493 low_pass_filter = 0.300
+Epoch 0: | | 10419/? [1:39:51<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 10420; scene = ['65bb1367936bfee7', 'f27c451765bfe693', '62cb927090ad787c', 'a33fa7792c2d3674', '4fb7f3479bf5f793', '99fe17374703a753', 'a53b3507bd229a7d', '22824fe5bc5f6238', 'a44b36742d145074', '71db40fac95086cb', '7a7df9c63b3e71b6', '4363c1bb298aebea', '21f3bdc243b3f6d9', '0aec565990f1c9e2', 'ac5a9a8b66d7c17b', 'c23e6554589887b7']; context = [[59, 100], [51, 83], [69, 103], [7, 37], [6, 49], [10, 48], [105, 138], [7, 49], [40, 72], [116, 158], [30, 66], [9, 42], [78, 110], [78, 121], [38, 70], [8, 50]]; loss = 0.023443 low_pass_filter = 0.300
+Epoch 0: | | 10429/? [1:39:57<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 10430; scene = ['ccf92c6ab0aa91b6', '4d999bce04f7516a', 'd3895c7d9c03703f', 'cc45417d1c5dab8d', 'a73800e25d3adc8b', '82359e18b76a3634', 'e92d17d3398d0a25', '04528668e1c60664', 'fcf0dfa30f82d161', '44b3e0a57bedb550', '33219fbbd27f4602', '6c0ddd369d85c777', '88623b0479c2278f', '4da70bfde0e88229', '8a175b66a6e0d87f', '0492d6125268e9ae']; context = [[37, 72], [80, 111], [13, 52], [159, 198], [199, 232], [7, 45], [239, 273], [18, 58], [82, 116], [69, 99], [2, 33], [40, 77], [39, 71], [83, 114], [85, 124], [24, 67]]; loss = 0.029848 low_pass_filter = 0.300
+Epoch 0: | | 10439/? [1:40:03<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000train step 10440; scene = ['4d5c72169a93a233', 'ec30b155fdb742b4', '07c9ccb6ebdc2243', '2e9e4bab16c8ede6', 'fc8edcca8cd02ba1', 'd698675238c917e5', '1af9d0a563d8fc8a', '0a8af1c0c2360992', 'e0a3c0023e6ad8f8', 'f661fd9e62653225', '76ad9054e25f6e8b', 'ea54b1c520a2eca9', 'b6201ff1dbf6ab42', '35989b45a058ee3e', '49a8af003cd5aebe', '338a1e8f27cd7f45']; context = [[31, 61], [89, 132], [0, 35], [128, 160], [110, 140], [15, 53], [183, 215], [24, 62], [42, 81], [28, 68], [11, 46], [91, 123], [0, 39], [10, 48], [200, 239], [96, 135]]; loss = 0.025566 low_pass_filter = 0.300
+Epoch 0: | | 10449/? [1:40:08<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 10450; scene = ['c6e44ba3f43d1c36', '06c6eda75296a75e', 'fea6f9b0be94efbf', '6c19d5016a508e19', '28a365595c10fea1', '0f13d495ddc248f8', 'eb35c81a959ad80f', 'eeaa456ff8d02ae5', 'b444f2b85b396571', 'acd1915ee65bfe2e', 'cb61949c06bb9837', 'ceb28bbb4f5926f1', '621f93416436589c', 'a02096a091543cd0', '956ba41bf98ba71f', 'bc6074f65be70999']; context = [[111, 148], [40, 71], [10, 48], [162, 205], [31, 70], [6, 49], [22, 57], [9, 48], [24, 59], [17, 53], [45, 84], [22, 61], [206, 240], [26, 68], [46, 80], [24, 62]]; loss = 0.029756 low_pass_filter = 0.300
+Epoch 0: | | 10459/? [1:40:14<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 10460; scene = ['68fecf971a65aad3', '0d584ee47b1581b3', 'cb4bc53086c6bc97', '6ba0ee10f98864e3', '9f580064227318c2', '4d409a615102cc2b', 'd0eaed6e027e8450', 'b4d7d9db587e521c', 'edc479cb4f6caa65', 'ff90a740279ff477', 'ab14db144fe188df', 'a811b2ea79427e6a', 'd24d5088cc61e752', '85f1aca29efcf661', '05497d101d6aa256', 'c05ee4284b5cfe6e']; context = [[119, 154], [44, 82], [17, 52], [115, 146], [12, 54], [13, 44], [29, 67], [2, 37], [71, 103], [59, 99], [44, 81], [17, 57], [20, 58], [154, 191], [112, 148], [14, 44]]; loss = 0.023762 low_pass_filter = 0.300
+Epoch 0: | | 10469/? [1:40:19<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=20.50, train/active_min_children_step=4.000train step 10470; scene = ['a8b78c0dcd5a10dd', '3ceafda325ca5d89', 'ee74691f92b13a07', 'cb8d6f52af9edd41', 'd3e9fb196b944937', '0a178d6a8d53c07e', '2bccd3e30dd64180', '2b0cfab67601662a', 'c2b88667c45d9508', '16e6f88a12ca1a9b', '43017fb4aed6625f', 'ffadc5456128c7f5', 'fa5873dc99dfde1d', '0895217c1d75fc75', '32e02be2574101b2', '40b8c05f6ff38457']; context = [[9, 48], [81, 121], [68, 101], [4, 38], [130, 173], [3, 42], [148, 180], [14, 46], [95, 125], [23, 63], [46, 76], [35, 70], [51, 88], [245, 276], [70, 104], [0, 41]]; loss = 0.030304 low_pass_filter = 0.300
+Epoch 0: | | 10479/? [1:40:25<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 10480; scene = ['fdb6f125420454f2', 'a0b0e90963cfe4ed', '9cc01f35f0cdb657', '7eea579e137fd98d', 'b9bfa33e34db7e78', '9c2ec37ccb615cf9', '33ec2bc6fd434fe8', '2f56fb1ce3c46045', 'e19f2bdf424cfcde', '249adc3e479b28b9', '54cfdcc11f17f88a', '5f44c9c88b73aa5a', '7da47581ea5a7b74', '11bdc79f5f3fe36a', 'dc88bf46941dca99', 'a95691c28a8c28a3']; context = [[17, 53], [31, 69], [245, 277], [79, 110], [12, 49], [18, 51], [9, 39], [201, 244], [13, 53], [33, 73], [42, 74], [48, 81], [0, 32], [19, 49], [12, 50], [232, 267]]; loss = 0.025422 low_pass_filter = 0.300
+Epoch 0: | | 10489/? [1:40:31<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 10490; scene = ['33bc577abb7897e2', 'e0737923208792c1', '63a59d5530371249', '6ac1609e850602de', '32e727d8ae7909eb', 'cb82108b17ee5e26', '39b9066d2c942085', '61b8e9a04d4980ba', 'ce4e90b4e5ffd2cd', '84216623fa45999d', '77844e25d2ac0876', 'af90a0a7bfb09e86', '420abf6c08210c4b', 'cf0bef80ad621a1a', '0eccd2c6e5c3747f', 'f0ff3f5228398f46']; context = [[37, 71], [1, 32], [212, 247], [58, 97], [39, 78], [36, 78], [146, 179], [40, 70], [1, 33], [90, 122], [46, 89], [9, 44], [2, 39], [61, 100], [7, 49], [98, 138]]; loss = 0.024933 low_pass_filter = 0.300
+Epoch 0: | | 10499/? [1:40:36<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 10500; scene = ['1ceffd0ae37330dd', 'b41e19a320fab192', 'c008476d54d1ee07', '651736ee17bbb42d', 'da887eb3ac647f2c', '01fbcb68566675e9', '627e05fe832ed87d', 'c0803f4d1cb0eeea', '6077f867625ee34a', 'b029a9bcd2651daf', 'f74a2842c731c6a1', 'd3c12a719176caf4', 'da0c71525ec16c34', '461c4ad72745996f', '6a8fa817af9fabbe', '519a77d8094dafd0']; context = [[34, 66], [7, 45], [1, 42], [11, 41], [81, 122], [14, 55], [0, 30], [63, 98], [124, 155], [9, 42], [51, 82], [43, 83], [77, 109], [238, 270], [62, 100], [22, 58]]; loss = 0.028384 low_pass_filter = 0.300
+Epoch 0: | | 10509/? [1:40:42<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 10510; scene = ['97198df954cb373e', '537580f71422704e', 'f9807395b04502f5', '5e29bcfae9e5fb61', '790bbbeead8c0e0e', 'e2f7704a1bf6ea91', '08762e5e9f8755b8', 'dd2da639bf3d5489', '8eced2dc34158d45', '158dc09f8a9ab006', '5e5c541729749eec', '4937247fb2749a01', '87975b8c008e3881', 'ecd0fa4f3bb29b99', '55745f183232ea38', '8a7af2478ec05777']; context = [[24, 61], [155, 187], [71, 112], [31, 74], [77, 114], [163, 200], [152, 192], [0, 31], [27, 68], [26, 61], [23, 57], [115, 148], [20, 54], [63, 95], [44, 84], [19, 59]]; loss = 0.026362 low_pass_filter = 0.300
+Epoch 0: | | 10519/? [1:40:47<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 10520; scene = ['8385639daed6ad35', '76ae405bf2de98c2', '0c1b1ea787e6a5e5', '1f264383e514644a', 'c78080cd764ce09a', 'ac5122b9a344d3be', '6abfb2e52aea1a65', 'a6792878dad60243', '72b4959b43d63649', '684b3fe54099d16c', 'd848b9acbb7e79f0', 'd19bc02c7a2c4a05', 'b1e83960965e92a9', '7a53439dd7b7c810', 'a62fce653d958993', '5dba123f9090725d']; context = [[124, 162], [78, 118], [10, 41], [11, 43], [11, 48], [20, 54], [22, 54], [11, 41], [53, 85], [67, 97], [29, 64], [152, 182], [117, 159], [1, 36], [206, 246], [8, 48]]; loss = 0.028673 low_pass_filter = 0.300
+Epoch 0: | | 10529/? [1:40:53<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 10530; scene = ['d0d681abd0e8178d', '3d45a7ecb75b1c0e', '45cda196e1a1d642', 'f221667620ef606d', 'a8c3a68af453df56', '36f0525eb7d3472a', 'e5dd11aa4e4aef7d', '0a34b018c664a8d9', 'd7e6c0b3ac09c6cf', '51b6e63c903275b4', '886a85c2187060b4', '1fdf19d7c4402d40', '05f76b85aa906dc8', 'af1e0e38c0da060c', '480284b9570c6f99', '78d31bc844cb6ca3']; context = [[70, 110], [7, 38], [1, 42], [233, 273], [0, 30], [48, 81], [4, 41], [44, 79], [17, 51], [154, 188], [6, 36], [2, 39], [31, 71], [52, 94], [13, 50], [28, 61]]; loss = 0.024142 low_pass_filter = 0.300
+Epoch 0: | | 10539/? [1:40:59<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 10540; scene = ['7b411e4c466f3a64', '7e53bc6da12b71db', '6c23d0b82faed662', 'ba1c15e73bfc4eba', '9416bedb61dd7c0b', '07bfe0e0500de7eb', '8c3f703203d7a3d5', '97db2dd2f407388e', '87ffb21238d4c43b', 'ecd0d0bb2819ae9a', '303b304d3a7f1741', 'cf705560e53638f7', 'bbbd69e2e2beea48', '3f2b808da3dcd537', '90775843376e18f7', '7fd87451d9940559']; context = [[124, 167], [106, 139], [46, 77], [56, 98], [37, 69], [35, 76], [1, 41], [30, 73], [81, 116], [43, 85], [24, 63], [29, 72], [43, 74], [2, 36], [39, 78], [32, 62]]; loss = 0.032121 low_pass_filter = 0.300
+Epoch 0: | | 10549/? [1:41:04<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 10550; scene = ['63808c84d7b4507a', '8e8093ea0dda5bf6', '4bc9b33353193d1d', 'b4634a77e910fb31', 'c32c8cfb2e2b35bc', '3e96e6f2c7c8826f', 'b19a7215b055242b', '0715871c63748812', 'eb2eef5defd58c1f', '9239aed51a231658', '222255ddcacd20cf', '1fdef796118f642e', '88a9533f6e6f1736', '00415ec2f505e8c3', 'b953af75bafccce8', 'a082fdb24870d360']; context = [[10, 46], [8, 51], [6, 40], [58, 98], [23, 56], [40, 77], [2, 32], [225, 266], [40, 71], [66, 106], [36, 73], [32, 66], [50, 81], [89, 126], [51, 81], [3, 40]]; loss = 0.029352 low_pass_filter = 0.300
+Epoch 0: | | 10559/? [1:41:10<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 10560; scene = ['e60e765e62130960', '7a6bda7be9ddd883', 'a4f016cebe459279', 'fa46d2e31ca6700f', '3e9346b65dc684e4', '26bd2f3807377c77', '1665c14b021957de', '6a754bfbd0e02830', '14472523a0c46403', '83ac3cb620e43578', '3f2add62a0b1d691', '25c3ed412bb25315', 'ec69ce38f103630c', 'c43bdb6be580b5e1', 'eb0e136af148bcd3', 'fbd15ca7d13011fe']; context = [[96, 131], [1, 44], [24, 65], [18, 56], [103, 140], [57, 94], [31, 67], [12, 55], [35, 70], [21, 56], [144, 180], [29, 63], [37, 72], [62, 94], [160, 203], [17, 60]]; loss = 0.031179 low_pass_filter = 0.300
+Epoch 0: | | 10569/? [1:41:15<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 10570; scene = ['533bb7185fd2572d', 'f99640d38891e746', '164bfbcf3c843542', 'bedf88185159e542', '281599bbab3e73dd', 'eec481a022f9e86a', '06966b2259fb3aa5', '1d7ad8c6900e7af9', 'd4e738e6d2dfc2ca', 'a24e8ad5010be329', '6fa8bc5857a70689', '71544ab5ea6dc037', '84c770dab9552672', 'e217a44b9eec3221', '74a1a4637c7f405c', '61be2551bb51d4a2']; context = [[208, 247], [68, 103], [23, 66], [39, 72], [9, 52], [92, 135], [10, 53], [38, 76], [113, 146], [196, 230], [211, 252], [5, 46], [124, 163], [17, 50], [104, 136], [36, 72]]; loss = 0.030658 low_pass_filter = 0.300
+Epoch 0: | | 10579/? [1:41:21<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 10580; scene = ['655c7025a4ef3a04', 'dab470366fc62c26', '8b7c1e7466825d2d', '63af3a14bf816d69', 'd30d4b1bab59b3af', '6f61d916513afe2c', '68d9927e6218be67', 'cf8a199c0bcfdc29', '191069311543b436', 'e5aeb6cc73e1ef60', '5198bbd75640b179', 'edefcb5a942060c9', '04d184f9c745910a', 'ccd9f68bb34bbff4', '193b94e9f655def6', '201e14c1395bb7e7']; context = [[6, 47], [101, 133], [10, 52], [238, 272], [4, 36], [51, 87], [85, 116], [6, 36], [130, 161], [4, 43], [4, 42], [41, 76], [4, 36], [65, 99], [27, 57], [1, 35]]; loss = 0.022830 low_pass_filter = 0.300
+Epoch 0: | | 10589/? [1:41:27<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 10590; scene = ['a9c9fc5a415961b4', '297a127a91742df8', 'fa393778dbecc71a', '674df255653c2010', '6f68ad2a6783fc83', '3390c56508d9c9ad', '76c9abf451c53115', 'fddfd395825c1e5e', 'bc773d762e6fbe06', 'e96c06cde258d090', '24677a0ecc30d9c9', 'd21cda959685df7a', 'e28a20da85069fbb', '4f6d6041434a7907', '97f13942e301b11a', 'd7e621e3e3fdcdcc']; context = [[29, 67], [30, 71], [5, 46], [44, 78], [34, 65], [55, 93], [31, 61], [30, 72], [66, 101], [30, 61], [28, 68], [21, 52], [0, 43], [106, 148], [100, 141], [5, 46]]; loss = 0.024845 low_pass_filter = 0.300
+Epoch 0: | | 10599/? [1:41:32<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 10600; scene = ['5d4999bc3890166e', '031246664d5c3d67', '983de178d358e48f', 'f22a9901c2044606', 'd7fc46af16108a7d', 'd5e41b87c1d3928a', 'a5aaee1765eb23e9', '2b06a630f32b54ed', 'fb5f51d8b4188c7a', '28c33171c47829bb', '7297c259c805075a', '65b9540faf40b6b9', 'c6d6373111255a49', 'd8f7bae15f8ab6a2', '792c2bde48423a11', '65b0a12d86b78201']; context = [[6, 40], [53, 93], [47, 87], [17, 55], [50, 86], [131, 173], [116, 152], [1, 33], [38, 79], [2, 41], [4, 40], [59, 92], [17, 48], [59, 96], [26, 57], [27, 61]]; loss = 0.028050 low_pass_filter = 0.300
+Epoch 0: | | 10609/? [1:41:38<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 10610; scene = ['c23f64688bd5832c', 'ecbe588b1196e1de', '6d484dee4f0c6961', '2a6060b83b5b422d', '21c78c4ca6f54165', 'b7707f9169cfbfd7', '91f339b9c88c5648', '3343ae50bd84d78b', '63ba0cc0116eaca8', '44be74319748a608', 'dc1f97232358798d', 'd0011aad43526269', 'd0e255176b3ceba8', 'e96060d1e31bf6c0', '745ac5a5e04f923e', '7d1ff82e642d5373']; context = [[27, 62], [12, 51], [78, 117], [129, 170], [29, 62], [146, 176], [66, 104], [47, 79], [119, 162], [65, 99], [233, 276], [84, 127], [105, 136], [35, 73], [42, 81], [41, 83]]; loss = 0.024462 low_pass_filter = 0.300
+Epoch 0: | | 10619/? [1:41:43<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 10620; scene = ['3d48789267dda573', '28067dda0ffd7a29', 'c2b4c2d376a4a2bb', '9a3cd88e7992e094', '518b5b152dbe9bed', '64ac5e883d17b31e', 'f18f902446e55b6a', '2d7cadb283e13574', '72e66804cf74b3a7', '07b3b8eed5158977', '13b1888318fdc03d', '9b911c261595376f', 'fcf211292855eb93', 'ecc9be85f439bc3e', '23342ee0ee6467fa', 'b940087d000e5084']; context = [[52, 85], [179, 219], [21, 62], [45, 86], [194, 232], [64, 100], [165, 199], [84, 119], [2, 38], [65, 97], [199, 240], [18, 60], [75, 117], [31, 74], [137, 179], [15, 46]]; loss = 0.029091 low_pass_filter = 0.300
+Epoch 0: | | 10629/? [1:41:49<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 10630; scene = ['a37504e5a333ec20', 'c7dec949f5729c8c', 'f483eb112204d039', '3b7c1da7ab8f7c7f', 'becfa3668f1ee64e', '3f575f7539ab6976', '4d1e941a12495ab4', '6d7fa9b007d81c4b', '74a4454fec1064d2', '6515c73871c16c8f', 'd331f11afbd5b80e', '7d47270114fd4ec6', 'dd8b7bbadd571c65', 'e721fc9b9370bfb9', 'dbd787e2f15fb124', '42650dbbd8232eab']; context = [[34, 77], [166, 209], [10, 45], [69, 109], [144, 180], [3, 37], [32, 74], [75, 115], [13, 49], [54, 90], [11, 43], [33, 65], [216, 257], [98, 129], [18, 57], [67, 106]]; loss = 0.028291 low_pass_filter = 0.300
+Epoch 0: | | 10639/? [1:41:55<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 10640; scene = ['cd916eca6a5850dd', 'f0a58c7d4fed3a88', 'a56643a01b020c11', 'c17f81d64774f6bd', 'dd60a3647c0f9251', '8363a64496ed9f95', 'e69fd4d779e61812', '43dfb1a02857ba00', 'af1312953ccd5886', '27af81492287d58a', '95c122b30d1f5da6', '1893323a19021d8e', '824ac94a634e0a57', '4f336e4103d97389', 'a884a290e94bf314', '6f35853cc8e9f3f5']; context = [[62, 92], [80, 115], [29, 70], [34, 67], [15, 57], [27, 59], [15, 45], [34, 77], [37, 78], [2, 33], [78, 121], [114, 156], [106, 138], [16, 53], [16, 57], [12, 49]]; loss = 0.028724 low_pass_filter = 0.300
+Epoch 0: | | 10649/? [1:42:01<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 10650; scene = ['54f982f5c8b1115e', '19fe6c6d41769856', '25df6b294a638aa0', '6db892e0d6deff33', 'fb8c110e1b7428e7', '9ef90a8905a14589', '17e23380fb8f7ed4', '932378f771303fbb', '2365b39d703e65f5', 'ac6761b9095c24f5', '7095019467e67f4f', 'af520f62a535aa1c', '641955bdd4b500a3', '6df08dcd841c4b9b', 'fadf8681f71b6225', 'b12f99acac988ca4']; context = [[48, 88], [49, 87], [10, 50], [1, 39], [41, 81], [14, 54], [179, 209], [27, 61], [16, 55], [21, 57], [40, 72], [79, 122], [58, 100], [10, 49], [18, 54], [56, 97]]; loss = 0.029556 low_pass_filter = 0.300
+Epoch 0: | | 10659/? [1:42:06<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 10660; scene = ['8639b76991693c19', 'a5aaad695508d68f', '38de695bf52f781b', '5d55b5dec223dd12', 'ee05b13cdf928ba3', 'dc7969f442e319bb', '6a7fec6b244c5d59', '5e8fcb22d403ff9c', '4ad63c0c1a8d9798', 'b382a321245b2789', '66e4f3268dafe823', '9cb320f193eedcc2', '33eca79b369a3ed1', '1a9297aa64507e8b', '2e4cb954129dbba8', '80fcc07f0180ae19']; context = [[1, 44], [18, 57], [14, 45], [9, 51], [25, 65], [141, 175], [39, 73], [53, 85], [115, 154], [103, 142], [8, 44], [73, 111], [92, 124], [0, 34], [79, 122], [0, 33]]; loss = 0.023763 low_pass_filter = 0.300
+Epoch 0: | | 10669/? [1:42:12<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 10670; scene = ['91461b13fd903e40', '1d777f965a85e1d8', 'f3daa7d364f722c1', '82176a0ba36cd1d2', 'df869fb963216261', '13521f3d950ae7c3', '53e05632cb9141bd', '564a9a401e37c50b', '4146c9cce23a9a8b', '086af5ca29f293a7', 'a57232a4ef2ec923', '58c71daec1b86e20', '4561c06d33f28c85', '1bdd8065417690d3', 'b29eef78e1972562', 'e9a1cdca9abf71b2']; context = [[50, 84], [173, 210], [19, 59], [1, 32], [27, 63], [12, 55], [22, 62], [15, 56], [102, 134], [23, 66], [136, 170], [68, 110], [60, 91], [40, 72], [152, 183], [19, 50]]; loss = 0.025719 low_pass_filter = 0.300
+Epoch 0: | | 10679/? [1:42:18<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 10680; scene = ['2e1fb15b53a835ff', '648fc6db158f6e55', 'd46599d6e4a2b451', 'e1d9afaa8899ee32', 'e6ea6d241b13591c', '240ad84c83b28925', 'acc62473df85b047', '9a8eb979640612b6', '8c092656a2e5dd1c', 'b06e72eb3136c5e8', 'c919b0540a5e53a1', 'edd15cbc6844242d', '71d819df647d0f28', 'b04e73f999394039', 'd4838e987d85074e', '9fbb521a4d947ef6']; context = [[57, 98], [169, 210], [38, 76], [154, 197], [9, 50], [4, 47], [1, 33], [3, 46], [48, 82], [39, 73], [84, 127], [163, 202], [96, 138], [2, 35], [56, 96], [37, 68]]; loss = 0.026638 low_pass_filter = 0.300
+Epoch 0: | | 10689/? [1:42:23<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 10690; scene = ['727926e871e31d5d', '02314047509da14e', '95d2c6fca1508481', '2212340b10c882aa', 'bf6ba1f1734d5bdf', '0006e8e3eaa8cd39', '859fc2af29eb08a0', 'd2f26d374cc9fc43', '7d2f9ee3c5ce33ed', '7dd657f7a4c836ad', 'd80cc3b9a8602ac7', '4683f860709f3393', '46ea38e907a53781', '392052b37ba1b434', '6a3f470f8e9d66a9', '25129a03cfd7700b']; context = [[14, 54], [0, 34], [15, 48], [21, 60], [14, 48], [7, 37], [1, 44], [6, 47], [2, 42], [70, 108], [178, 219], [31, 74], [19, 49], [22, 54], [26, 62], [156, 196]]; loss = 0.028356 low_pass_filter = 0.300
+Epoch 0: | | 10699/? [1:42:29<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 10700; scene = ['14032e27d5868321', '232777ce6c9eabc0', '7b2de8cffc94b89a', 'fc4d52ddae957587', 'e0b9820f2fd1d30f', 'a5ee03afbd166037', 'dfedfa0416a49813', 'bfa2bcabacc640e3', '573a94f2ae6e618a', 'cd3f38610cfd76dc', '0e635d9d4da802df', '6dbe25bab31fe746', '5b740c2606bb4c27', '151c464941ec8324', 'd02f8cad1ec64f2c', '7c5f2a6693417896']; context = [[53, 95], [41, 72], [159, 201], [105, 135], [142, 178], [11, 49], [42, 76], [34, 74], [34, 77], [36, 69], [74, 105], [21, 58], [9, 46], [7, 49], [3, 40], [131, 171]]; loss = 0.025112 low_pass_filter = 0.300
+Epoch 0: | | 10709/? [1:42:34<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 10710; scene = ['ef67dc096bd74aea', '6c3c828eddbaccb1', 'a64972f2ce3ab93c', '77d4dad49d3bf4f1', '5ab460913e459419', '6d5ca78f3b7111eb', '2a738a49db16bea7', '85d78a23254e792d', '3daf1eabf19c93ec', '27227056e078032b', '534a13c9352bd9af', '0bfdec70b0e4848b', 'deace859a58d2b95', '2d5367d8abf2a189', '87ffb21238d4c43b', '6c23d0b82faed662']; context = [[49, 88], [52, 88], [39, 69], [44, 86], [21, 53], [17, 51], [14, 45], [176, 207], [24, 58], [87, 130], [16, 47], [6, 44], [11, 46], [3, 34], [74, 107], [64, 98]]; loss = 0.029009 low_pass_filter = 0.300
+Epoch 0: | | 10719/? [1:42:40<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 10720; scene = ['d0e255176b3ceba8', 'e921b1095907f7f3', '7d1ff82e642d5373', '91f339b9c88c5648', '44be74319748a608', '3343ae50bd84d78b', '0b3450e60786b915', 'cb2397daeb2ee8e4', '62ed93b209157a0e', '4811d8b25548586e', 'd101a39a319befa5', 'f471211bbbc65a17', '615d2eda2a3d4f7b', '24709bfd3eb54bed', '4444717bbd6638d5', 'c97d905b9b4be11b']; context = [[98, 130], [5, 35], [14, 48], [74, 116], [35, 68], [51, 83], [8, 44], [0, 39], [70, 107], [24, 58], [45, 87], [120, 162], [5, 43], [156, 187], [59, 95], [13, 52]]; loss = 0.026238 low_pass_filter = 0.300
+Epoch 0: | | 10729/? [1:42:46<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 10730; scene = ['02af8885e7cb41d7', '70aeebb2e454f169', '37af8a80f816adcd', 'a907466e93b043b3', 'f37017b7df9ed603', '83f6f1d6f7bc3145', '335f19bb2ded2e2c', 'ee1b443b2c28405d', 'aa46e13f5533ecad', '9cedb8b2ef4174aa', 'b90a83734094c8b0', '1188e171a4f746d8', '8133c5c5e0b6da9f', '66fd7a5ab38b46d3', '04990e0e0320ac2d', '4085c1e8f57f9e82']; context = [[37, 75], [14, 46], [69, 110], [145, 180], [74, 111], [75, 106], [26, 63], [43, 84], [38, 81], [139, 176], [16, 46], [25, 57], [45, 88], [45, 75], [0, 34], [28, 58]]; loss = 0.027376 low_pass_filter = 0.300
+Epoch 0: | | 10739/? [1:42:51<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 10740; scene = ['e08750e1f2e95932', '4eb9e7e4f283e229', '712d7d211c4539b1', '5f0a8cfefdaaedcc', '1374f1c247f796e1', 'b370b579bf5e3c23', 'd0a703be7fbaa9db', 'd1b9a1b70474466f', 'fc68db62b98934af', '7039734be2f00317', 'cc64908cbb514ebd', '2e770da39beca629', '8c67d77a1f9a6b14', '1d81f59588ab98f5', '51d0544fae56e467', 'ae0dc9a4163221b5']; context = [[7, 49], [151, 187], [6, 49], [53, 92], [77, 111], [3, 38], [83, 117], [15, 45], [32, 66], [2, 36], [83, 124], [126, 167], [16, 49], [86, 124], [59, 89], [82, 117]]; loss = 0.023499 low_pass_filter = 0.300
+Epoch 0: | | 10749/? [1:42:57<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 10750; scene = ['6611ea98f1c6e06b', '26c2209bf849e0f0', 'adc7501dc8ade1dc', 'b5845733ce5e16c2', 'ff8cf27635ec8f79', '0ed5f2c07cee742a', '368109519bf4afd3', 'af6b1c8a353f5f01', '4aabd0dd33849c4d', '5a149fbb9799b5f1', '985f2c00b4f494d4', 'ec3fcc76dc7935b4', '95604de455068830', '72c76753251034c4', '94ef76e68046fcc5', 'a50412be59011ef1']; context = [[165, 196], [49, 83], [4, 47], [56, 89], [47, 82], [142, 178], [37, 75], [95, 134], [1, 42], [4, 45], [24, 67], [6, 47], [7, 49], [46, 87], [36, 69], [6, 44]]; loss = 0.032349 low_pass_filter = 0.300
+Epoch 0: | | 10759/? [1:43:02<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 10760; scene = ['543ea079f1309658', 'abad44f2b7aa337b', '9ffea0c7512fec43', 'd2f8a0647a048ac3', '55f1ea0208c7c170', 'b355ec5ea53274af', 'f0362371b3876f4c', 'ef0c5ee4208fe10e', '1540410113b2f9c1', '95cd93e95dffe35b', '137f03627c44f449', '356b3796a079db20', '7493055e85c73775', 'bd88a467b26b8e8a', '14f946268ad74b0f', 'fa2d630516211369']; context = [[38, 72], [94, 137], [111, 147], [1, 32], [5, 47], [10, 50], [4, 37], [0, 30], [12, 45], [0, 33], [5, 47], [54, 96], [33, 66], [6, 41], [45, 76], [46, 76]]; loss = 0.026637 low_pass_filter = 0.300
+Epoch 0: | | 10769/? [1:43:08<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 10770; scene = ['c179864f6886d590', 'f82afa5cb8662b4f', '37ce47d9ebfb29a9', '2e36d73dd9237db0', 'e9247558f0be9996', '622a80e8c63bea26', 'e86e6458a4b77118', 'c13ce72bbc5a3abd', '87d10b8ca27aeb0d', '6e31b2bf905c639c', 'ffdc1e6d90725c55', '17c89f652c827289', '8bc4be24233cbdf9', 'b236f5fe556015b7', '1386456b149f9ba5', 'f61f928ea81ba540']; context = [[32, 69], [0, 39], [124, 162], [2, 45], [12, 42], [49, 79], [90, 129], [18, 54], [24, 55], [80, 114], [162, 193], [175, 211], [65, 95], [193, 225], [11, 46], [9, 47]]; loss = 0.023516 low_pass_filter = 0.300
+Epoch 0: | | 10779/? [1:43:13<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 10780; scene = ['1ccda20eb66616d9', '442cc1a75979747e', '47d5b526d610ce27', '24e9c732f2708d64', 'b9c82355b6b72953', 'a80cf6ebbcc8c567', '4861f83856a68339', '6ab2b8047ce3372f', '5152ddec95800e11', '335040270a612565', 'c84634f3d5763cde', 'ebe3737afc68087c', '098b6ce755e6a169', '2b9de59913ddba6b', '3057ed610c97894f', '52a5c89030310322']; context = [[19, 54], [13, 55], [36, 68], [54, 85], [3, 40], [37, 75], [1, 35], [111, 145], [33, 74], [39, 75], [88, 126], [10, 42], [2, 35], [8, 51], [102, 144], [3, 38]]; loss = 0.026063 low_pass_filter = 0.300
+Epoch 0: | | 10789/? [1:43:19<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 10790; scene = ['9a0d8f16dfe38363', '0621379994686889', 'ff936f48ab11cfac', 'd0348d9d77d5db6b', '71a59f19bca97b74', 'fe171f90f688619c', 'bf85bb00ee815c33', '3b478464a6665998', '56f95247e77bedc3', '37fc71e2d5534f99', '5d00a543f59ea3ab', '7dd3394cb3908cef', 'bdcf63d0e401dba9', '14c18b3853eed06f', 'e05964b2d09ba2b9', '8309dedf60ef56c5']; context = [[34, 74], [13, 50], [103, 133], [18, 56], [98, 129], [32, 64], [110, 147], [233, 266], [131, 171], [15, 53], [106, 142], [12, 47], [31, 65], [2, 32], [129, 165], [3, 37]]; loss = 0.025962 low_pass_filter = 0.300
+Epoch 0: | | 10799/? [1:43:25<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 10800; scene = ['34b27a38dcff837f', 'd3601198fe370da6', 'ceeffa13358a48e3', '61d389bddcbd9228', '6f9a3dfc789b9a51', 'f8f81ce73652f17b', '75cd9075433f968f', '664b327ec00f0235', '79c0857364ffcef4', '62e8f32c902fe339', '5ec059a63d5b37ba', '5ae852dd19ff0503', 'e221f7f852b05c07', '05951392debc0c7d', 'f91c0150dbe6d368', '18430c91ff8eff0d']; context = [[22, 65], [38, 71], [22, 54], [37, 76], [83, 116], [172, 207], [26, 58], [29, 63], [152, 193], [11, 50], [20, 60], [55, 91], [29, 69], [41, 82], [71, 102], [54, 90]]; loss = 0.025528 low_pass_filter = 0.300
+Epoch 0: | | 10809/? [1:43:30<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 10810; scene = ['b73c82a030426b3c', '5e05a3bb4a7b2408', 'd7beff4d08f7f7c0', '4e5ec1d83b201b8e', '5a1bef51559ebc54', '1662e7a8e989cc86', 'cb3f9a003c272957', '0e52526ad6ae0cbe', '252eeea290153060', 'd4ee812a17940de4', '54739636d3e0afca', 'bbbfb82b51d26b7d', '687fcd475fafd53a', '649dace86011dd52', '0fdab2e3c6852b81', '754a52ce12b77483']; context = [[50, 84], [113, 153], [32, 64], [170, 206], [0, 37], [64, 99], [2, 32], [199, 234], [26, 67], [1, 32], [103, 135], [32, 74], [1, 44], [58, 100], [52, 90], [23, 55]]; loss = 0.025409 low_pass_filter = 0.300
+Epoch 0: | | 10819/? [1:43:36<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 10820; scene = ['8d055c85341ef5be', 'ee5c6bd8fe1eecae', '90a01a4bf92139d3', 'c0cd96efb97299af', 'd550977e6ab72e54', 'f0ec6fde32d852f4', '47261f4c960af669', 'f7e299ca7ccbc897', '4de4d4cc91401422', '29eb7537903248df', 'e125136b4495509a', '645a8988ce8fde03', '865f1084bb5394ac', 'aa218c104399ce72', 'afe244c3a728abb6', '59fe83675dae05d3']; context = [[19, 59], [77, 113], [36, 68], [0, 35], [53, 86], [82, 113], [73, 108], [98, 136], [224, 264], [18, 53], [116, 155], [94, 127], [16, 47], [1, 37], [36, 76], [3, 45]]; loss = 0.026789 low_pass_filter = 0.300
+Epoch 0: | | 10829/? [1:43:41<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 10830; scene = ['fbb54e268f0d270a', '2bf741a222d8d904', '38f8dbde5252ee9d', 'c380f54aaaa59131', '983e973f6b717e2b', '897ac50a2586050d', '16b13c6c0948d0bc', '8a797b1368e908b3', 'faf27a24003c7212', '729746e12579bb8e', 'baf899bcd7c0e9ad', '6096edcb027f9438', 'bf059ef6cf1dc8ea', '2b48002337f3c72f', '75d30fd02e5f8614', 'eabc0fbae64a3713']; context = [[129, 168], [5, 48], [38, 69], [1, 37], [5, 44], [84, 125], [42, 72], [69, 104], [21, 53], [43, 80], [134, 176], [8, 50], [25, 64], [53, 91], [0, 30], [2, 32]]; loss = 0.027272 low_pass_filter = 0.300
+Epoch 0: | | 10839/? [1:43:47<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 10840; scene = ['a32c07161568464b', '8bcb96a1a54fd517', '080b2ea0bee7c240', 'ff5e89a2982b38d5', '4c7919b08e3516c5', '3ab745b9c1e962c7', 'f142779d449552a8', '596fede91ed244cc', 'd5d319bb0bb91ea8', 'b94b0dfc088e9015', '4d09d7bbfb746a2e', '3b0e8bde647ed81d', 'd5df7baf420bc564', '3442a19cd7d6d5c0', 'd8c4678abcfc4053', '0bbbbaae12946888']; context = [[95, 136], [94, 129], [6, 37], [38, 75], [1, 40], [166, 206], [26, 57], [0, 30], [34, 66], [84, 125], [36, 70], [74, 116], [178, 220], [11, 45], [32, 73], [41, 81]]; loss = 0.027803 low_pass_filter = 0.300
+Epoch 0: | | 10849/? [1:43:53<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 10850; scene = ['2afc7dc230fbf3fe', '1098e1e8ff8a6ccc', '8a98de13b617e55e', '2745b72124ce2839', '67426b6ca13230b1', '39144ca292453bab', '070a38463607f676', 'd8ebaefde5718781', 'f970e1d2a39ddbf4', '9a7bac27466a58f3', 'c9e5140663ab470c', '0c4caceae466dc0d', '2a71b6004bc0bf12', '09c6fdb9069bfebd', '7e9c4c87684d13c8', '1255213b2b061903']; context = [[0, 42], [22, 52], [18, 55], [17, 53], [0, 37], [12, 54], [54, 88], [0, 34], [13, 49], [1, 37], [30, 67], [10, 47], [33, 65], [7, 40], [36, 78], [1, 38]]; loss = 0.024420 low_pass_filter = 0.300
+Epoch 0: | | 10859/? [1:43:58<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 10860; scene = ['9213a5b7938cc603', '98158a10ba43e6be', 'f9e292d0f35004b8', 'cdd401649a7beba0', 'cdff8132e3459a84', 'e5f2814df3d67c3f', '6040ec646b61d38e', 'e65dbd8f3fa574cf', 'c48ae441e013959b', '871c71dde02c52fa', 'cc1665e6993bbd5f', 'a7c454119cd0c84f', '4078b0e80e1d4b3e', '8481aa6143270581', '54c2ffb9b031aa12', 'b03141d1d2429dcc']; context = [[15, 49], [72, 102], [4, 40], [0, 35], [22, 59], [39, 77], [2, 41], [148, 190], [4, 41], [11, 41], [78, 116], [167, 198], [11, 42], [29, 65], [212, 251], [61, 96]]; loss = 0.029051 low_pass_filter = 0.300
+Epoch 0: | | 10869/? [1:44:04<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 10870; scene = ['bca89e1b4c7c57af', 'd9c25af9d095b9db', '8b26999ef2192cb8', '559723a77387f8cf', '5edba6f290c48137', 'e52679ac7b904c9a', 'd5c1a6c6cb883de1', '51cbaa0fef55d570', 'cb1c0ed8721fbcc9', '16b0ce1fde16bd5c', '5bd2b8a6ac345fa1', '0cb1f4423c89e950', '32a2313f018d5305', 'd65738a227b2fcfd', '9a97ec19a3bf5147', '4e1699ae57854ad2']; context = [[3, 34], [10, 53], [2, 32], [105, 145], [125, 155], [47, 84], [53, 95], [32, 70], [54, 89], [35, 66], [177, 216], [86, 127], [44, 84], [0, 36], [172, 215], [0, 30]]; loss = 0.028606 low_pass_filter = 0.300
+Epoch 0: | | 10879/? [1:44:10<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 10880; scene = ['f841958b4f3ea9b6', '81239a4d26b89db3', 'b5a711e9d6e9f7d2', '0c55d99325327032', '56fa6943fe8aca9b', 'aea0b4037df73166', 'cf1c8a8fb8347d9f', '1766b288f284c234', '9c74a21848354b9c', 'a16d30d362a5ff7f', '9c3ebea75620b57e', 'fc3ee0f062e9a2e8', '975074dc77b4b39b', '8584676cfe1afe61', '6ebbb51c36ffa67c', '3e715f03f925cf3d']; context = [[163, 205], [164, 195], [45, 84], [17, 59], [102, 140], [62, 93], [72, 105], [9, 50], [175, 207], [119, 162], [1, 39], [15, 56], [35, 69], [12, 52], [62, 103], [0, 38]]; loss = 0.024674 low_pass_filter = 0.300
+Epoch 0: | | 10889/? [1:44:15<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 10890; scene = ['8aefbf6af9a0effd', 'c1aacfd63c3b9795', 'c3eb1f75e218738d', 'ac8718c9d815099f', 'd6624aac6774c6cf', '2182b76a33fef09f', '996067d4347858a1', '826ac620be5fbf0b', '2935197dcf0164b0', 'd2504f7d7af1a9a3', '1c165afe78c29c55', 'c91dc4e10b8ac16b', '4a48d77f5585a875', 'c25194b2a961a96a', 'fc36c85463412c38', 'b5476504de893f96']; context = [[8, 42], [11, 45], [45, 85], [13, 54], [236, 275], [20, 50], [36, 72], [22, 61], [23, 60], [161, 195], [31, 66], [51, 88], [21, 59], [2, 44], [4, 40], [92, 135]]; loss = 0.030146 low_pass_filter = 0.300
+Epoch 0: | | 10899/? [1:44:21<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 10900; scene = ['0171fad21c2da68d', 'ea7648c11d71d569', '2760ce206d026a24', '717355446e5fb6f1', '569b4f2bbd5ca97d', '31be225a56177487', '1d0db89d39191516', 'aeba1b856b9b31b5', '3a2d3179b9f99ceb', '7fd95569d89137e8', '2789ee0911a1051d', 'c3079f4e3e429796', '341407721bd3c087', '5f2afc1d28e9e5fe', '855317e00d04b805', '258faa796752b8a5']; context = [[42, 82], [2, 45], [45, 86], [118, 161], [151, 189], [29, 71], [91, 122], [29, 64], [3, 39], [1, 33], [37, 67], [23, 63], [220, 261], [100, 143], [68, 100], [6, 49]]; loss = 0.034510 low_pass_filter = 0.300
+Epoch 0: | | 10909/? [1:44:26<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 10910; scene = ['587ac21c4e3b3d1f', '57855140884302d9', '083dd412e66fa8e1', '7e062d231f9f28d5', 'fd7f996ea6606892', '2f38640c40521949', '91f9e00c7c8f26ae', 'cb818807e848d9c8', '584403b16a766bc4', '4163aae5c14c2259', '595377a9a51559a6', '2ab2d93f8f85cee3', '7eed7143b1d9bdf1', 'd2ae259bb6a6935c', 'b28e405bcbcfb7d6', '7186ffd763a25cfc']; context = [[70, 106], [105, 147], [124, 167], [215, 253], [15, 51], [0, 30], [30, 64], [6, 47], [42, 73], [2, 34], [21, 58], [68, 107], [11, 44], [15, 55], [112, 146], [178, 212]]; loss = 0.027520 low_pass_filter = 0.300
+Epoch 0: | | 10919/? [1:44:32<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 10920; scene = ['1104b859ab561a91', 'd0a5fe02748fc75e', '8c68653f00f6d17f', 'c932900554a3875e', 'a75e410b243dbdd0', '293fd741a4b1418f', '33e2078934da463f', 'f3c989f55510b54a', '910ea84fe04de798', '46e5a4d61907f704', '8ce487e5f7832de1', 'b3f1d9e291979d4d', '7c8a83c355ab09a7', '6c292d2668c5df52', '7350a07af6d4d9c2', '63624b6a57f69f3d']; context = [[123, 153], [17, 55], [236, 278], [22, 55], [8, 46], [21, 61], [7, 50], [127, 163], [11, 54], [11, 44], [174, 216], [15, 52], [61, 97], [25, 64], [28, 58], [64, 94]]; loss = 0.024905 low_pass_filter = 0.300
+Epoch 0: | | 10929/? [1:44:38<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 10930; scene = ['1484e9c4187a562d', '645567ee2438a9bf', '17675b4e73f05823', '38313c7ce5d8fc08', '3b85815f3e1df080', 'b7f47dac8c0ae90b', '65fd119cae53be01', 'c9de4d71fde8bf65', 'e28a20da85069fbb', '55f8874f8fefa4ed', '7355218ce6104077', 'e96c06cde258d090', '297a127a91742df8', '76c9abf451c53115', '4f6d6041434a7907', '3390c56508d9c9ad']; context = [[1, 35], [21, 63], [13, 44], [22, 56], [3, 40], [33, 68], [61, 100], [74, 105], [35, 68], [70, 110], [22, 55], [19, 50], [28, 64], [49, 79], [57, 88], [3, 44]]; loss = 0.025093 low_pass_filter = 0.300
+Epoch 0: | | 10939/? [1:44:44<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 10940; scene = ['ad96a22bb137e566', 'b23a2d11dd88eb83', '7c996dd6ba66b365', '661d465e98bec126', '9f2cb9d0504e1e4a', 'a53edd4f427771a3', '8d5fbc21f528902e', '5ab913ee14ea2b24', '1bc367ba2b28912f', 'e4cf75733dbed315', '102d19c9e7f4cbf8', 'bc2a7a37df0cdb53', '5cc5a65c5d2b03ee', '85011721006086c5', 'c1a6ef665d46399b', '637bdb45beb6fb5a']; context = [[40, 72], [33, 71], [6, 42], [32, 68], [1, 32], [59, 91], [170, 203], [54, 92], [208, 241], [10, 50], [22, 62], [145, 177], [18, 61], [77, 112], [33, 63], [43, 86]]; loss = 0.025621 low_pass_filter = 0.300
+Epoch 0: | | 10949/? [1:44:49<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 10950; scene = ['c0c4c31e533004c1', '359152220eb1d27f', '7758f38825215a20', '89eae766d1dfa570', '127ddf70a5395dfc', '1a85cec942246c96', 'cf2badfcc6029738', '49ab4dfaac816611', 'c7a6ccb56cf0220f', '9db7b3ce6f093bfb', 'ea3607afb2302a82', 'b9496e79c092db77', 'ab5746b36d0c079c', 'ce0161965212721f', 'b5ef6bcc9a651474', '8c8fd141c75ec5dc']; context = [[23, 60], [6, 38], [127, 160], [14, 53], [58, 101], [3, 38], [27, 61], [123, 153], [3, 43], [26, 58], [49, 91], [55, 98], [3, 40], [48, 89], [15, 53], [66, 105]]; loss = 0.030237 low_pass_filter = 0.300
+Epoch 0: | | 10959/? [1:44:55<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 10960; scene = ['7225310f01007948', '442a0ef9d9e76ff7', '831f44fb2dc2311d', '86fd1d544859f77d', '512b7e32e6bc3f48', '35a227970ce3648d', '35eb1ea54b2d5010', '009d5ce3e73298df', '72fbb5441e60349c', '3578d191d151ccc8', '96296c928b44f0a4', '1ca122afdd7a2c3d', '3ae99c9e9d3762b4', 'c6d7b4ec3f169cc1', '9b51d7d828b0ee35', '161dc6059be03815']; context = [[167, 207], [5, 40], [101, 132], [95, 125], [3, 45], [73, 105], [19, 52], [58, 95], [4, 42], [76, 119], [61, 93], [134, 170], [11, 52], [36, 77], [57, 93], [53, 91]]; loss = 0.029983 low_pass_filter = 0.300
+Epoch 0: | | 10969/? [1:45:01<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 10970; scene = ['8e1791ffb6412f09', '800b6286c2b3b9c7', '336b3140d9d8bebd', '8b4aecd7318912e3', 'd7ac888a45c3c904', '3da7fd2b6cb9b945', '8abe602d2d3a004c', '5a6387d05cd51e02', 'b6f5561feeabfddf', '859236e0cbc2f4a5', 'f64382ecda10da42', '9b0b1203fa711a60', '2b63c5c022a05285', 'f97b13a0875462d6', 'bef837728aab6049', '8eb2d8f27faac47b']; context = [[3, 34], [12, 42], [41, 72], [191, 221], [21, 62], [54, 95], [79, 109], [171, 205], [26, 56], [8, 46], [11, 50], [160, 202], [11, 52], [82, 117], [1, 32], [56, 89]]; loss = 0.023422 low_pass_filter = 0.300
+Epoch 0: | | 10979/? [1:45:06<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 10980; scene = ['e8bcc2e3fa0b3809', '90a88f61bf407368', 'c3b965a5e39ef192', 'a4071a433af90680', '770a3d6cc6eb482b', 'a8d78d305bbdb97d', 'dacf32005e7ff429', 'b468dbccdbe6269f', 'c32944f8e26d5b9d', '0bcbaade18e8de26', 'b54e9392ea54baf1', '7f38825dc04a52f8', 'd1b53be4386ac0e7', '01cbdc2687833ad4', 'edecb6d85652f9a1', '4624a9b67e1a88e2']; context = [[78, 115], [133, 168], [55, 87], [184, 222], [19, 55], [34, 70], [47, 77], [0, 31], [14, 56], [59, 92], [31, 70], [15, 56], [103, 145], [42, 77], [153, 187], [21, 51]]; loss = 0.030371 low_pass_filter = 0.300
+Epoch 0: | | 10989/? [1:45:12<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 10990; scene = ['d8a10ac5a46cde3a', '7599e146ecc8c0ae', '964598a02fd77ee0', 'd97d4429fd5e613a', '9e5973f672d3a4f8', '269c81dbfdc48cbe', '7f5514d22a7c013c', '8b5c5d28beb6aaee', 'b5a1533f624a0e69', 'f2ffc71375ee3698', 'ed38782db0d369de', 'f656c8cb690eca24', 'f401287d77578677', '012f24ca4b69e4d8', 'd43b3efae89891f6', '228f67bb3f7257e3']; context = [[78, 115], [46, 76], [13, 48], [9, 48], [29, 72], [0, 31], [40, 74], [51, 82], [52, 87], [13, 51], [29, 70], [17, 57], [217, 250], [115, 149], [3, 45], [111, 147]]; loss = 0.028181 low_pass_filter = 0.300
+Epoch 0: | | 10999/? [1:45:17<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 11000; scene = ['30424882cc105c3f', 'b9d4445e5b8179a8', 'e0cd677c6327d758', '2840317723c97f2e', '082c0c02689ac9ea', '1ac2a4b1e19586d2', 'fa65596a8e365af8', '8f6466cf3955548f', '45e99af9de479d18', '3c4bdecd948605b2', '37d500b0d445527a', '58d3f0291ef949cd', '5873515e83e4f80c', 'ed32136a29bd41e5', 'b9f4bf0923570c4d', '20c567d65674f2ca']; context = [[35, 78], [29, 70], [90, 124], [20, 62], [19, 52], [15, 45], [142, 181], [66, 102], [38, 69], [34, 74], [22, 65], [37, 72], [58, 90], [99, 135], [7, 45], [91, 132]]; loss = 0.027798 low_pass_filter = 0.300
+Epoch 0: | | 11000/? [1:45:18<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000validation step 11000; scene = ['651a7f83ed093001']; context = [[171, 210]]
+Epoch 0: | | 11009/? [1:45:24<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 11010; scene = ['a2c32e79a1e30600', '20f0da7699f136b3', '3486d59a92f026ac', 'ea31003893552c45', 'e6c20fc262364062', '72c3d43fd80eb9fa', '2a74eea6e2f729e6', '4506dc1a680c186f', 'fe02addf27f31c95', '31aff270dc318197', '88a0a05121f9f74c', 'd8ebdfe45b35a5aa', '5671cb0d00d9d6b7', 'e1da6e7e7a0178c4', '4e7da8637b6a526d', '11151f6b04d76f39']; context = [[98, 128], [24, 54], [0, 43], [49, 91], [75, 109], [30, 65], [188, 226], [36, 78], [14, 58], [148, 191], [22, 61], [6, 46], [125, 157], [25, 55], [63, 98], [1, 43]]; loss = 0.030582 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 11019/? [1:45:30<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 11020; scene = ['1fd04b3b726fc68a', 'b72d9fdc671b2e3f', '5862391ea26da3ea', 'b9baabda7e1103c9', '5016750fece91181', 'd637df47561724e7', '012019df6ff17e30', 'b27550ce7b33d218', 'e4d69e87d73f574c', '9579af646646f7a9', 'fb1651b38865c843', '05b4833383b01223', '85550f8dc12ada36', '0ccb467174ef8384', '88488291ab748607', '725cbe582c2d0afa']; context = [[16, 53], [3, 47], [23, 53], [47, 86], [3, 47], [75, 116], [26, 63], [62, 97], [49, 91], [5, 46], [214, 247], [14, 46], [80, 111], [1, 35], [24, 60], [40, 70]]; loss = 0.030605 low_pass_filter = 0.300
+Epoch 0: | | 11029/? [1:45:35<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 11030; scene = ['3894d7d61208aea6', '97e4cb1ace3d2389', 'ce3d2d997aad9619', 'ea4fd7cc97844f81', 'a21c7fc61430286a', '53d67e0708030be3', 'b2d8fc68e6b91731', '75e78d3a345b7e23', 'b70def164b856c89', '8baf73d4c62c234f', '857cbbf6876e2bf3', 'f91b9393b23e69ff', '6c95490e2bd6aa2a', '7cd0fffd56e1bb4e', 'de6b214b12ce2f5d', '3f209aa0b5e74285']; context = [[57, 87], [23, 55], [86, 119], [6, 38], [17, 48], [39, 70], [31, 70], [49, 85], [9, 51], [120, 153], [67, 103], [9, 53], [66, 100], [17, 59], [41, 80], [34, 74]]; loss = 0.028719 low_pass_filter = 0.300
+Epoch 0: | | 11039/? [1:45:41<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 11040; scene = ['210cf1a3bb4a8bf1', '404b4791b64c6df5', '84f4398a444eebd5', '3c692507a0a83d02', '53a047ae113b5b3f', 'b7168a9c1a6ec502', '9f9213ddabd7bac8', '1970a18a09507fc8', 'd15fc66cd14bb973', '3df78a46912f03d2', '53754ca100a3c2a1', 'e60726e96c92ea50', '9ef8aedeb93cd9b9', '30c5f73f51e9d378', '07a5fe80f25f8a79', 'abba67b06f58671b']; context = [[96, 127], [4, 37], [0, 32], [188, 222], [178, 214], [5, 39], [78, 109], [57, 91], [12, 42], [228, 264], [13, 44], [51, 89], [9, 47], [121, 159], [13, 56], [4, 34]]; loss = 0.023709 low_pass_filter = 0.300
+Epoch 0: | | 11049/? [1:45:46<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 11050; scene = ['4fd139b53037d3ea', 'ff23eb62f349366e', 'aec942278ff394bc', 'b446b7840e4ac28f', '89bc971b5dfbd294', '4fec9d404cf136d2', 'aa2197dadd5f5f8d', '0a15372f3b9eab0b', '292b9e4977860611', '5d56c55814546bd8', '9ce391fc1fec85bd', '993c3b3734240eda', '1e483388c44e927b', '3653999b060232ff', '443a9edb97b38126', 'b7910be2e79e221f']; context = [[51, 86], [20, 53], [199, 232], [24, 66], [32, 68], [24, 62], [0, 33], [201, 233], [74, 114], [79, 116], [27, 65], [34, 74], [9, 49], [12, 52], [66, 97], [109, 142]]; loss = 0.025430 low_pass_filter = 0.300
+Epoch 0: | | 11059/? [1:45:52<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 11060; scene = ['0e36759e631b3a7d', 'f1eae9bf3eb4bbbf', 'dcfd07d4a022b226', 'fe2c764518e7a72a', 'd9dd6e0b1550b1ee', 'c74969cf2d6052dc', 'e81941e5c1fe55cb', 'eefdafedf732e5b0', '8fba4dda8330a838', 'b48b1adbf6c01e9f', '0d21809ec3211305', '10ec4d16f705a260', 'ba856f9451354f41', '65d07fcdfb062070', '4b94b69778b899fa', '1823c7e7ff75c1d0']; context = [[131, 168], [23, 53], [50, 91], [213, 257], [53, 96], [13, 44], [15, 53], [160, 202], [15, 46], [61, 105], [85, 126], [10, 40], [126, 170], [80, 122], [61, 99], [121, 154]]; loss = 0.026900 low_pass_filter = 0.300
+Epoch 0: | | 11069/? [1:45:58<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 11070; scene = ['53de9a4e07e66c31', '826bfb24e4dcb24d', '04141e7311b5b776', '41bde7bd3b983de7', '3117ac544da725ad', 'a70bae772fe1f221', '2439d921b0ded44f', '2bf4a3ae29fde52d', '61ddcdd79d0586b8', '1e63068cd7e8d1c0', 'd1a5538f3ea4bb56', 'b809f86166cf31b8', '4ba8aab928daf0c7', '4564448b2f24c851', 'e6aa35fa03162303', '32078eb83807dbf3']; context = [[48, 79], [0, 35], [15, 59], [48, 88], [0, 41], [8, 52], [7, 40], [19, 52], [6, 40], [1, 32], [83, 125], [26, 62], [18, 54], [47, 89], [26, 63], [2, 46]]; loss = 0.030586 low_pass_filter = 0.300
+Epoch 0: | | 11079/? [1:46:03<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 11080; scene = ['a4e41a67cc55ca5e', '59029ee2996b0ab1', '7cc7880ef69db73c', 'b319295376408696', '5b0cc99d38736efe', '729e1efcddd5058a', '11885ded95a45f98', 'f938c6de686dd5e9', '3cafe7c03ee5782e', 'fca4e445c41c1ae5', 'fc665068424c2e80', '54bffb953d877965', '66709e5a49fdca17', '619e553334b56ea6', '4dcb4479e2490a95', '3475c3521e7ed6e0']; context = [[19, 63], [53, 91], [35, 65], [9, 43], [34, 71], [44, 76], [150, 191], [41, 80], [102, 135], [96, 135], [70, 105], [3, 44], [95, 137], [45, 76], [2, 33], [132, 170]]; loss = 0.023087 low_pass_filter = 0.300
+Epoch 0: | | 11089/? [1:46:09<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 11090; scene = ['b258499e892b8255', '1c24110d82ca7fda', '37bab43436b959b8', '24e01c5b3902d452', '0acb50de3333ba56', '8d88417d149343a3', 'aa5affe1e69017b1', '40feb7856665d3d5', '096ec46a582e58ed', 'fb2d399fc8d1288f', '55396890c6961267', 'b53a8e8d3caa0f66', '9be8777414b5510a', 'eca88f83164ab4a3', '026013ca541c30da', 'aea713a654bc70f2']; context = [[21, 61], [20, 55], [20, 59], [63, 96], [219, 253], [97, 141], [85, 129], [85, 116], [106, 148], [226, 270], [18, 48], [198, 229], [6, 47], [37, 68], [177, 215], [2, 46]]; loss = 0.027107 low_pass_filter = 0.300
+Epoch 0: | | 11099/? [1:46:14<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 11100; scene = ['9caac0a86187d952', '61b8d6d61f125dfc', '0f72af29e689aa51', '7c198ea51a55bd53', 'fd9163677d4f184b', 'c6a5d6868de3532e', 'a38b5ff05cce2c80', '16550b4843bda7c9', 'fd76831770670610', 'e167c9e3a4ac3ddf', '22ad4d6b24d8eb3e', '9be4f7f194641876', 'f85bb38dd85bff45', 'baac13e0de97b6d9', '05815f0448f51d9c', '7e71fa90b85ee375']; context = [[71, 110], [5, 40], [30, 67], [10, 49], [17, 55], [161, 196], [236, 272], [32, 70], [31, 66], [172, 209], [20, 51], [65, 106], [49, 92], [60, 97], [4, 36], [25, 67]]; loss = 0.029088 low_pass_filter = 0.300
+Epoch 0: | | 11109/? [1:46:20<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 11110; scene = ['f83aad93553a1fe3', 'e4bbe64f8760c542', 'efe518cb76665511', 'bbac08082d5d47ff', '87566ad86aab444c', '7c1c07c77d39e0f9', 'f3d21d375f937dce', 'd49b4fa7b43fc10c', '2f1f43ea5b2766f4', 'de02237229575e23', '8b60b394df2a9220', '77659febf946d8c0', '4a7229184d136690', 'b7f4f08c3ee747cf', 'e7431d87279f2f40', '64a094bdca3a99b5']; context = [[3, 34], [12, 45], [40, 77], [79, 116], [34, 70], [3, 44], [26, 61], [75, 106], [18, 57], [48, 90], [8, 50], [108, 144], [13, 55], [4, 46], [65, 107], [7, 44]]; loss = 0.024336 low_pass_filter = 0.300
+Epoch 0: | | 11119/? [1:46:26<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 11120; scene = ['d4838e987d85074e', 'b71f1c4d3f3e11b7', 'd53fc98a3d2e0354', '568b33cc3fbab751', '0c63cd231163ae00', 'c944569063a4abf2', 'ad6f3772864b9f5a', 'ff772e9eeaa3fae4', '52d261d44166b108', 'af8f4d618f869f77', '516e761c5402bf7f', 'ed51eda77e50f68f', 'd85224614a8ba749', 'b3d35b1754b449e1', '2f6cba5238438eb9', 'd772de89883ef084']; context = [[93, 128], [1, 37], [88, 123], [41, 82], [151, 183], [164, 198], [48, 90], [12, 42], [21, 54], [0, 37], [101, 138], [62, 101], [133, 171], [161, 199], [8, 43], [46, 80]]; loss = 0.029991 low_pass_filter = 0.300
+Epoch 0: | | 11129/? [1:46:31<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 11130; scene = ['5f682ba84996ef9d', 'ae43b854a34b208c', 'e04c8f59aa6d3c50', '432f64556c7cdfa2', '53b2d43b7f2a6077', 'fbfbcba06045cc1e', 'd2025fb25b1b8d42', '47d2189b091c3cbe', '4a13cfcfbfbf8887', '56ffb64f1ac704c8', '527eac78ac3e3012', '39bfa783bf8eb056', 'edb02105a535094e', '4e70f8c8d569f01b', 'de60b52ac3e7875c', '430ed582e79c5bab']; context = [[7, 51], [0, 37], [156, 195], [85, 129], [82, 125], [83, 127], [3, 43], [32, 71], [3, 44], [190, 228], [39, 80], [27, 61], [51, 90], [108, 139], [31, 64], [6, 48]]; loss = 0.026596 low_pass_filter = 0.300
+Epoch 0: | | 11139/? [1:46:37<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 11140; scene = ['4a4baddbd49b7258', '03d3092e230ed7f0', 'a5a4762cca8682a9', 'd59ab97b03d1164a', 'd47a86be435af29d', '572d67c3862dd6e1', '315815aa98415073', '262a536e25e2ae43', 'af60f8a67b20ee61', '7b8b7615fd2f7724', 'e280b63b4fde8794', '215c46860fea0af7', '1937bd8834c0270a', '546f6ef7e1ecadad', 'ab2a8498118f02b3', '6f0e672c9d2d1f20']; context = [[35, 75], [22, 65], [1, 34], [3, 44], [21, 60], [95, 129], [4, 40], [101, 133], [0, 34], [19, 54], [38, 73], [0, 31], [31, 75], [51, 94], [102, 137], [45, 87]]; loss = 0.029229 low_pass_filter = 0.300
+Epoch 0: | | 11149/? [1:46:43<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 11150; scene = ['fae84f9901505e34', '5d69e869219fef05', '242a6bb6504da60b', '571c726d284c5fef', '1e1f136ce68928e4', 'e1d4b9c7b39aa748', '43f5a800c0b89a68', '6597b7c578ddc529', '5c0e0d405e67335f', '1f53342de1a0ff2d', '27f19ffe2847912a', 'f13f04fe296ed1b2', '3eec00e2737a9285', '08ec2a7f6781ccfe', 'a04522f8476deb96', 'f682642ce3f20e85']; context = [[19, 55], [99, 142], [26, 64], [14, 57], [0, 32], [210, 249], [16, 55], [46, 80], [7, 43], [175, 207], [49, 80], [66, 107], [42, 80], [8, 41], [13, 52], [110, 144]]; loss = 0.029726 low_pass_filter = 0.300
+Epoch 0: | | 11159/? [1:46:48<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 11160; scene = ['4e0a83430cbe5daf', 'e3055f5c8878cac3', '52bf8f0eaf400271', '75ec2472c9bd5d56', '5aea53b7c7dcefec', '88ee0081c73b2c00', '8b3d605d4d8ec3b0', '7374cc80de8a5479', 'd992b7126745f2ca', '4e43f52092ef6306', 'a5207b8d6b307bab', 'bb320dd4e0d86efa', 'e482986b21210c55', '83ad0bcf3fa261a7', '8aa48e9505a71090', '181c6124dfe721de']; context = [[76, 112], [51, 82], [0, 44], [12, 56], [22, 55], [126, 156], [19, 52], [29, 60], [84, 122], [108, 144], [103, 136], [2, 35], [231, 263], [54, 87], [2, 40], [1, 45]]; loss = 0.025642 low_pass_filter = 0.300
+Epoch 0: | | 11169/? [1:46:54<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 11170; scene = ['9ab6f5a4a25d8e1e', 'c9077b5a9e2919c9', '701bbabf79a42624', '49f2a6f344b193ec', 'a7b928c84f551702', 'e1843bdb769c16fc', '39f89831b997bcef', '67f8815d24b5195c', '269eed6559c8e8dd', 'a4eeae8de8e2e98e', 'd0432ed7f1d068ff', 'ba6091fde6e9ec9d', '586168cbb8fd4583', '2bbe015bfbec987b', '475f76d77a5bbf1e', 'b69737f8793f8741']; context = [[42, 77], [2, 37], [29, 71], [24, 64], [74, 118], [145, 179], [4, 43], [48, 90], [42, 72], [37, 68], [65, 101], [73, 117], [37, 72], [48, 84], [21, 62], [44, 81]]; loss = 0.024576 low_pass_filter = 0.300
+Epoch 0: | | 11179/? [1:47:00<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 11180; scene = ['04b29f18ba65f722', '73e584ee20bf003d', '53daa5ea0d4b98bd', '468a367c6bde7be7', 'c19488b4bf826477', 'a6fa40bedfca6012', 'bd295705900345f7', 'a2e5f84fd671b85e', '0cef8a131f31a91d', '1d4265985e7667cc', 'ce8aee19127c3952', 'ef05d8c3781ff579', '1d5a30bb1267f67b', '4180411482979dcb', 'b1e149b34d6b16f3', 'dc044b71b712f904']; context = [[41, 78], [11, 52], [75, 106], [75, 106], [10, 42], [25, 64], [34, 69], [91, 125], [22, 66], [19, 57], [32, 64], [106, 144], [17, 60], [1, 34], [3, 46], [79, 117]]; loss = 0.026271 low_pass_filter = 0.300
+Epoch 0: | | 11189/? [1:47:05<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 11190; scene = ['b993964d13910de3', '74e30a73a5c11c30', 'aa8aacb5df95e356', '73abd5048eb254a5', '2c1b4bbf79a3aaef', 'c2fc6ef65cb36488', 'a32094abd3d9859f', '78d2e86bc8669dd2', '4774ac3c0d87204a', '08db89a1f93cb339', '5dab5955ca910d26', 'f2a043c2bf7dd45e', 'fc6479bd5c3fe413', '3d896caec571f0c5', '9d5a8743f862007b', '5705a9af99505ea3']; context = [[165, 204], [2, 43], [72, 116], [0, 42], [167, 204], [37, 71], [38, 80], [13, 54], [33, 73], [106, 148], [40, 75], [10, 41], [71, 107], [32, 72], [0, 43], [155, 191]]; loss = 0.030985 low_pass_filter = 0.300
+Epoch 0: | | 11199/? [1:47:11<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 11200; scene = ['5eeb2c7cd1bd78f7', 'ee6e5709a57be759', 'e4e0a2c744fcabd0', '395b1c86e35e8d93', '52e13717e8b9393d', 'f291b18d16c3b10c', '111008339f6622fa', '3475c3521e7ed6e0', '619e553334b56ea6', '66709e5a49fdca17', '5d0ce5e557060f2c', '54bffb953d877965', 'b319295376408696', '5b0cc99d38736efe', '4dcb4479e2490a95', '11885ded95a45f98']; context = [[8, 43], [7, 39], [0, 32], [6, 40], [153, 188], [116, 153], [1, 33], [4, 38], [187, 223], [158, 191], [5, 39], [36, 71], [37, 75], [26, 58], [4, 34], [97, 132]]; loss = 0.029623 low_pass_filter = 0.300
+Epoch 0: | | 11209/? [1:47:16<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 11210; scene = ['1287537f55d4a3d7', 'f53aabed95a2bfb2', 'ce16ba6da405ff5f', '74e305a72498a65f', 'dd395fd1ad8c5dad', '1ec1a98943c2d7ca', '85c3c6ef91de95d1', '9818b445929fc4b4', 'c8a56ef039bc9c4a', '7a29638b2d1a0044', '8fff60029f27f18d', '48e2960495c802e9', '39c2cf9a036278ce', 'ff3ecf2ec76ace60', '3fd5003b2ddfc76c', 'e7cfbaa323e6a40e']; context = [[25, 62], [79, 117], [32, 70], [76, 120], [32, 66], [1, 44], [16, 52], [52, 85], [5, 36], [18, 54], [65, 98], [56, 100], [185, 218], [142, 181], [2, 40], [99, 139]]; loss = 0.028527 low_pass_filter = 0.300
+Epoch 0: | | 11219/? [1:47:22<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 11220; scene = ['106e8189f4ee90d7', 'ad70f831385f15d1', 'a6bb2fe723408401', '51bfc1ddd9e0e060', '7df87b841be16aa9', '27e38880c016caf8', '0a4e8851bfe4792b', 'e41ffc49d6187487', '35ec7ecaec9d42ea', '0465a46abf146c4f', '8925a3f3b27bd94e', '29ada37fa1244183', '16267af07bb2ede1', '8c095cad49acba9b', '308091dfa01684c4', '6d824f7a87981e47']; context = [[10, 46], [41, 75], [21, 54], [29, 60], [35, 67], [28, 58], [17, 60], [49, 88], [112, 145], [9, 51], [173, 211], [97, 127], [76, 120], [14, 44], [40, 71], [19, 54]]; loss = 0.023079 low_pass_filter = 0.300
+Epoch 0: | | 11229/? [1:47:28<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 11230; scene = ['8f3647ba2a7208d5', 'a7411d99c980c19b', '53dd8f88f5a8df75', '5111c7e2b993a59c', '5671fc8bcb5c086b', '8ae28f3b0be905f8', 'c97c3b275adb5bb1', '7dea0889b1b634e1', '38da7fa34b2cdf68', '857827e759dc61c0', '6368d5b1d60b2ce0', '7f4c531cce3cef03', '453118571b632c56', 'b62ad35412742efd', 'b8f0921844966f26', 'bbbc43f0a7244468']; context = [[14, 50], [226, 263], [109, 143], [48, 78], [8, 49], [85, 126], [37, 81], [0, 33], [162, 203], [1, 44], [78, 114], [22, 53], [116, 155], [3, 34], [73, 114], [69, 100]]; loss = 0.027776 low_pass_filter = 0.300
+Epoch 0: | | 11239/? [1:47:33<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 11240; scene = ['18061c7463438d89', '76ce9bd95ed81200', '59645825f18fbe9d', 'aff3adf77641ddcb', 'fe80abf4227101c3', '8a279fd6d6bbd07f', '51e68a59b634cda9', '257371b0aa1f6bba', 'd3a43202508f2f9c', '70cdd195c14be815', '1fa7b345af776191', '5e715a795e4a34dc', '36fac023a729f6ae', 'ce212bd6e751cb91', '09f19ef0ae6b13df', 'ed1b5ffc37dc2a98']; context = [[48, 81], [174, 218], [111, 148], [91, 130], [0, 31], [27, 68], [32, 65], [6, 41], [37, 80], [34, 69], [64, 95], [54, 92], [118, 150], [75, 113], [52, 92], [198, 230]]; loss = 0.023962 low_pass_filter = 0.300
+Epoch 0: | | 11249/? [1:47:39<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 11250; scene = ['70a7c73ee0ff15cf', '8ccd419c07a54f45', 'a11168f2dbc672f5', 'a392b45c2f7dbe40', '412f8a80f8206ea5', '87c8a0082ed8ff94', 'ed2d12be16750310', '0aa65a45e54c8ff1', 'c4d9221e93c2b12e', 'dfa445fd1c795422', '128ddb0e3fbd0529', 'b84a5c1e7734f562', 'b38c90b77ef3ad91', '31416904feb3adb2', 'bd9691996bd5d929', '9c134c1df58d2d56']; context = [[93, 125], [8, 39], [45, 80], [4, 46], [0, 42], [102, 135], [44, 76], [30, 74], [86, 117], [15, 55], [20, 51], [146, 189], [3, 40], [90, 127], [10, 46], [26, 66]]; loss = 0.025350 low_pass_filter = 0.300
+Epoch 0: | | 11259/? [1:47:50<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 11260; scene = ['b90df30817c753ea', 'c92d0a347ee12b27', '26af5b5c8a608691', '4f61131422209b7b', '9b96d0f9960bbf1d', '8ab1764787cac6f4', '0e6beaff75a2e21f', 'b81e3b03979caf13', 'f30c65f4705fed5d', '8e8e3cea6ba6435f', 'b567ccc30732df29', '612b5d50e7f2c51f', '53ca901b4997c856', 'c6994c31aa134562', '6a94bfa75e7988c8', '865c923c96f0a73b']; context = [[5, 45], [111, 144], [50, 92], [19, 49], [11, 42], [42, 83], [28, 69], [116, 147], [0, 37], [5, 44], [69, 102], [5, 49], [114, 151], [21, 61], [8, 43], [33, 73]]; loss = 0.024798 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 11269/? [1:47:56<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 11270; scene = ['a017de2545c81e26', '2abe932fd9d76528', '2b132bbbc4b720b0', '2ae7890bd8231e93', '63636dcaf9b864e6', '86f3bbf2864c65f0', 'd78079ff1a0f045d', '8fabc39ad677dece', '806af4d2d935738b', 'b569a2f2d95abd90', 'b551bb88ffea8c1d', '88f77031423782db', '3a19beaf455fa3c8', '8ce821da54a25970', '1f28f66d80d8a799', 'a9be4205ae4d9eaa']; context = [[13, 45], [45, 80], [0, 30], [135, 172], [14, 54], [33, 75], [135, 166], [6, 43], [78, 116], [145, 177], [17, 59], [15, 47], [156, 199], [116, 151], [39, 79], [176, 216]]; loss = 0.025691 low_pass_filter = 0.300
+Epoch 0: | | 11279/? [1:48:02<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 11280; scene = ['ae6a7d632401e500', '5d4498bafa0c954c', '77ec708ec51602e2', '56357aac9db0ea9b', '2b6776be63239f3a', '30aee98670108feb', 'cd4599abebf9d60d', '4fcfd03c65294627', '89ad475d12af1821', 'aad7773777457cae', 'b3f292e781b77315', '02cea6edb1b588e6', '72fe0395095d3abb', 'd71386474224c9dc', 'f0f12c1c465e21e5', '25f5058d556324fd']; context = [[3, 38], [116, 153], [42, 73], [28, 60], [30, 65], [56, 99], [33, 75], [105, 135], [86, 125], [232, 268], [102, 142], [106, 147], [47, 78], [142, 184], [29, 68], [17, 59]]; loss = 0.027694 low_pass_filter = 0.300
+Epoch 0: | | 11289/? [1:48:07<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 11290; scene = ['4fcb9b17624fcfed', 'c9ee1faee53b3457', '6466dd709ba4f21a', '94cdd961dda768d9', 'bd8d3f1861372fb8', 'b90df30817c753ea', '9b96d0f9960bbf1d', 'b81e3b03979caf13', 'b567ccc30732df29', 'f30c65f4705fed5d', '612b5d50e7f2c51f', '0e6beaff75a2e21f', '84f93146a3c38ef1', '8ab1764787cac6f4', '4f61131422209b7b', '53ca901b4997c856']; context = [[118, 158], [192, 229], [35, 74], [87, 119], [7, 41], [13, 48], [57, 90], [131, 170], [70, 105], [3, 37], [18, 62], [27, 63], [9, 49], [16, 47], [84, 115], [27, 62]]; loss = 0.026191 low_pass_filter = 0.300
+Epoch 0: | | 11299/? [1:48:13<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 11300; scene = ['8b92b2017c49dc3e', 'd06f8cd99d46cac7', '22b63b6be3f3992e', '2103796b5825f13b', '23cee9d0a7ec0ad4', '34013a94143379b8', 'ba35191f2e1e3973', '14bbdd46f201f55e', '97a3306ce9b42e4e', '316b1c7f7482039d', '5f775c3cf16e4fb7', '9b2d544c36b4e88c', '54e91a756a41c2df', '1febc354d5524e1f', '368ae03cda038cbf', '7c264b34f37a5657']; context = [[74, 112], [85, 116], [42, 79], [41, 77], [1, 40], [50, 85], [36, 71], [15, 52], [39, 73], [7, 43], [24, 60], [9, 45], [17, 57], [51, 86], [122, 157], [31, 63]]; loss = 0.029244 low_pass_filter = 0.300
+Epoch 0: | | 11309/? [1:48:19<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 11310; scene = ['b23d0744a8a448b8', '27455d91c2ce386d', '028130721962d51f', 'da00b7213105b4a8', '87d64e0d263241ac', 'dfab3206eb0221fe', '5af820514cb6e04b', '7ccc290152046a71', '66142899889d749e', 'd86cc1513f0664e8', 'bb7ebd1a4b790368', '4b2f6642fc295553', 'fef25b6e3dd7df54', '283b240cbd81ebc7', '96594799c47beb71', '12a9071fdbc06fee']; context = [[133, 172], [30, 73], [86, 126], [72, 112], [68, 104], [46, 80], [38, 79], [0, 42], [25, 67], [35, 75], [0, 32], [4, 41], [39, 76], [23, 63], [21, 59], [169, 213]]; loss = 0.025277 low_pass_filter = 0.300
+Epoch 0: | | 11319/? [1:48:24<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 11320; scene = ['cd79d0de91d6c322', 'df1d50ec315fdd41', '4439e4423360c42c', '7fc314c58433af8e', 'd1237f5349508660', 'f69cf3d96e7cf8f8', '1c6110bfabe7831a', 'bb7e7bc809e2d50d', '0ebbdd2d2ba475c7', '28e3c9a4261b68cf', '472681b6b747e84a', 'a60a2e4385f361ac', '0da32cfb9483ba52', '1a2b1d9e7065035b', '73341b79eaf41f6a', '75360b350aacca61']; context = [[18, 49], [7, 41], [47, 83], [3, 41], [13, 51], [28, 63], [43, 85], [108, 144], [5, 44], [24, 62], [30, 67], [74, 109], [66, 99], [14, 56], [38, 74], [15, 48]]; loss = 0.025241 low_pass_filter = 0.300
+Epoch 0: | | 11329/? [1:48:30<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 11330; scene = ['36d957c25ce3a65d', '88f602169e8e43e5', 'b34bb5f53856d34f', '164bfbcf3c843542', 'f99640d38891e746', '281599bbab3e73dd', 'b25963fb28a6fd6a', 'bedf88185159e542', 'dc50de438abdb52c', 'a7c776da58a96494', '533bb7185fd2572d', '144e1ec915e46d29', '5d9526b17d8736a3', '8060b04ab454bb81', 'f107b68f4a5f2f10', '1d3d9af5e8de4a67']; context = [[63, 107], [18, 61], [7, 43], [182, 216], [19, 61], [9, 42], [43, 80], [71, 108], [114, 146], [43, 74], [189, 222], [80, 123], [58, 90], [98, 139], [46, 79], [24, 59]]; loss = 0.031280 low_pass_filter = 0.300
+Epoch 0: | | 11339/? [1:48:35<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 11340; scene = ['5041701491a4b930', 'f47abcad22b7b6c4', 'ea5a39bd855fdd91', '9794641b7e015578', 'cb007777cb7dff95', 'c1bcd66d5a2d51b6', 'db085f4da5bb3a11', 'abffceaf0098faa8', '6454334af1aaabd9', '1a251dc2dac5cd26', 'd7272df49cd52b8c', 'c3b82a52e6317dcc', 'c1fec197b3a59315', '849bb6781ce6dd59', '77d9893ba17a1330', '71d24f4e70b1596e']; context = [[99, 143], [62, 104], [22, 65], [150, 194], [51, 85], [113, 154], [1, 35], [19, 52], [60, 91], [9, 48], [2, 33], [3, 47], [5, 37], [63, 95], [68, 100], [174, 214]]; loss = 0.023117 low_pass_filter = 0.300
+Epoch 0: | | 11349/? [1:48:41<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 11350; scene = ['4fd139b53037d3ea', '4fec9d404cf136d2', '89bc971b5dfbd294', '0a15372f3b9eab0b', '292b9e4977860611', 'c235beae7f32275b', 'b38453d092cb760c', '9756ac0316805cff', '8b1b695c79061c29', '74a8f11d5d29aab0', '19d0ab2aa711ec3e', '0027e46f749ac7ec', '2fcc80596aca14cc', 'fc5f909a6e21d8fd', 'c4f04d00df876c55', '5c5694be61ffb755']; context = [[119, 151], [23, 55], [192, 236], [182, 226], [19, 56], [82, 121], [43, 81], [2, 39], [81, 124], [6, 50], [12, 52], [54, 98], [90, 126], [51, 88], [130, 167], [59, 103]]; loss = 0.035711 low_pass_filter = 0.300
+Epoch 0: | | 11359/? [1:48:47<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 11360; scene = ['f44605ccfe673d4c', '847e971064ea8f32', '2c6fc82128274bd2', '7dff7cc241357591', 'e199c79aa53f3143', '88d7f43eec1eb9dd', '009c0252ca19d76b', 'f919bf589008481c', '3236b130a75f48d6', 'aa89328fd849d813', '944bcc2f8a199c68', 'abdf580d488c0193', '791ee73a5a8b0dea', 'ff133f07dd0f56e6', '1cf5859280ae575f', '0bcfc80a4cc34924']; context = [[11, 50], [29, 69], [20, 59], [25, 56], [57, 98], [6, 43], [26, 57], [7, 46], [19, 51], [1, 45], [40, 71], [61, 101], [157, 195], [22, 65], [54, 92], [0, 35]]; loss = 0.029918 low_pass_filter = 0.300
+Epoch 0: | | 11369/? [1:48:52<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 11370; scene = ['f5d779a094aae091', '7f2d5be93f351414', 'f6fd3848b81f674b', '64752a2bbc8cb8a0', '596b0aec6dc38dd6', '65b40c140ed34d82', 'b1a0e4d6606be6f4', '643a5274a1acd8fe', 'ea037bd5bd5dd020', '6dfa5d8b449cfa29', 'e827971d9159f974', 'd70696962e8d49ca', 'fd37077f26b2bd87', '7e32519bb8c8a4f1', 'a8946be78cc27901', 'b072428b6db26547']; context = [[61, 94], [189, 225], [7, 45], [48, 83], [8, 49], [169, 212], [3, 38], [120, 160], [228, 270], [125, 157], [7, 50], [112, 151], [141, 176], [40, 83], [145, 178], [10, 49]]; loss = 0.026374 low_pass_filter = 0.300
+Epoch 0: | | 11379/? [1:48:58<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 11380; scene = ['282251d1ef15c3fc', '518d383bfd978431', '69e0fa97f9a68c7c', 'eccf2be869b9e84a', '9a425cc9654f27d1', '41b791aa1324f8d0', '1e73cbe74fa856ef', 'd2db866d20badde7', '29d754a48979d3ef', '04c446484b9ff253', 'd8b0f4aa8fa820cc', '586f625656c0d31a', '10d2c72a6d8534e4', 'f95aa66cf9e4cbb1', '7f279e9b6fa302d2', '3107cf5db874038f']; context = [[16, 50], [5, 40], [18, 51], [10, 53], [11, 52], [27, 68], [97, 139], [1, 37], [49, 80], [23, 63], [89, 129], [4, 48], [141, 179], [84, 115], [85, 122], [25, 56]]; loss = 0.029967 low_pass_filter = 0.300
+Epoch 0: | | 11389/? [1:49:03<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 11390; scene = ['5c4acbcb2726ae77', '347a65acdefb3ab8', '78cb32401cc6b824', 'cb4a606c07c51b91', 'e41c005265b2a44a', '5e17c7b14a6238ad', 'e63f98971b4a8c7d', 'f9c6bef8f2735fef', '6e0478995e512dc2', '9559d128b3a1eef0', 'f7f3a0fc0824b3c7', '1713fd97a984662a', '8ef966b685a58bf9', '3d26d392a63a781c', '71c1c052632606d3', 'bf6b4b934e4ebe0c']; context = [[66, 101], [20, 61], [8, 42], [25, 59], [48, 84], [26, 69], [61, 105], [1, 37], [56, 90], [13, 55], [25, 63], [16, 54], [187, 231], [2, 45], [14, 52], [4, 38]]; loss = 0.028335 low_pass_filter = 0.300
+Epoch 0: | | 11399/? [1:49:09<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 11400; scene = ['60863ab1ae0f524f', '0f7252324e26fd76', '0b2eca97fe7ea73a', '875ff9f24364de38', 'd4c21b21fa236269', '27d36fd1255aed7a', '76e4818391c788ea', '74812f0d1efedf41', 'd0bfa2fc0c632563', '774362c41a2ecf5f', '0d3b97d42d92ea7c', '9cb8cfd4c82730ed', '5c96eb8cee63a7cf', 'a16e4bbb68282ea0', '2d5d9db14ecc7d90', '1c3b2ab4d7288505']; context = [[3, 47], [21, 59], [46, 86], [2, 35], [88, 131], [80, 118], [29, 60], [55, 94], [15, 59], [45, 76], [145, 186], [18, 49], [58, 102], [14, 57], [17, 49], [57, 98]]; loss = 0.025922 low_pass_filter = 0.300
+Epoch 0: | | 11409/? [1:49:15<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 11410; scene = ['2eba78ad3a6eec8f', '1fa1d107663af676', 'c356250cc2aafb8f', '2b28b72745f71555', 'b6ad7033ca0cbc19', '12cc6c4ce9fc8ea3', '7dd8fc2a2879081b', '5e7393a6f6396b3b', '4f3469437e46bd88', '5c6220acfae016ee', 'f26b0f41d07e095e', '27fc0e7b8cb19777', '6847234a262ac256', 'e1552e01242047f0', '0402b44b67cb86aa', '149264dae59d363c']; context = [[7, 49], [54, 92], [139, 178], [33, 70], [38, 70], [44, 87], [31, 74], [55, 88], [74, 113], [114, 146], [41, 76], [53, 94], [42, 76], [9, 41], [7, 38], [12, 43]]; loss = 0.025464 low_pass_filter = 0.300
+Epoch 0: | | 11419/? [1:49:20<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 11420; scene = ['a9fbb0320fcd5342', '755db31817a105ff', 'a1e39e7698c39ddb', '2d6974fa7a7c2871', '16be374e6f6d5d3d', '1c6c2f0ea25ac8aa', '1e51a9a349931860', '10f1c7cda244255d', '52b0ce9efb240e7f', '96e0dd87c09dd1a8', 'e78f201e5bfc0742', '1c7e0d9da743e0ff', '2035595ebba23bac', 'a6b381f7e736bb58', 'e2ca642f83d36d8c', '724aa9c8b18efbae']; context = [[114, 147], [8, 49], [30, 63], [92, 134], [5, 47], [40, 77], [2, 37], [5, 49], [173, 215], [155, 198], [7, 38], [14, 56], [55, 89], [9, 42], [8, 44], [233, 269]]; loss = 0.055356 low_pass_filter = 0.300
+Epoch 0: | | 11429/? [1:49:26<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 11430; scene = ['9baca1fb56d285e5', '0e291acc4922a85c', '96555872a3bcecaa', '64d626f25eedc00c', '24b61a5f82f26bdf', 'da730944311546b9', '4d836c051f02de01', '41e20f4874e70840', '2c829a056844b920', 'ab1a429034ca6dcd', '82951bcec467e8b9', '2837f34b63e649e1', '24d33601b8e09152', 'd842261ebd54ac6e', '1fb562b09fc361ea', '8828f1cc452795aa']; context = [[58, 101], [78, 121], [0, 42], [95, 127], [31, 70], [23, 64], [2, 46], [6, 37], [9, 50], [2, 36], [75, 119], [48, 83], [90, 131], [18, 55], [15, 54], [46, 83]]; loss = 0.025804 low_pass_filter = 0.300
+Epoch 0: | | 11439/? [1:49:32<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 11440; scene = ['5dd56196ee851032', 'b4e49c04cfa8e5d5', '4aa5669dc0c886cd', '4615200729431cf9', 'bdccb33a12175af6', '4fd056d18c23b0a1', '3f29b4c36d5cc1dc', '14a04b4cda7ef5f9', '870e56ae669f7ea2', 'e97617b00097605d', 'c6445c21aad2bcf1', '5d68ede0f829a545', 'f87609d5183676b7', 'cb6419023897e80c', '4d2c0f16715e0c6f', 'a7b8522c8c3153c4']; context = [[17, 54], [46, 78], [25, 61], [0, 38], [104, 136], [12, 52], [8, 39], [110, 141], [3, 45], [61, 105], [125, 158], [9, 46], [29, 66], [46, 90], [75, 111], [216, 251]]; loss = 0.026206 low_pass_filter = 0.300
+Epoch 0: | | 11449/? [1:49:37<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 11450; scene = ['11cd107f829eeb46', 'ab42a131df988c32', '726cb0d916e76398', '622dafbeb856b952', '6aa0e273d8c41852', '188c4d1c3452fd73', '6e699ada5d23f8c9', 'cdf469e202a5472a', 'a31eadf1684fcffe', 'd30939bd64212027', '17bd051dfba24889', 'b1ac6f21c376eed5', '5ad8fd8108ff1453', '90db803cbda4c4e9', '36717a2b0062a25b', '70a4150512a6795d']; context = [[145, 182], [6, 46], [9, 48], [42, 76], [90, 124], [194, 231], [38, 82], [0, 32], [190, 222], [3, 39], [68, 112], [10, 48], [48, 86], [169, 209], [27, 68], [99, 141]]; loss = 0.024254 low_pass_filter = 0.300
+Epoch 0: | | 11459/? [1:49:43<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 11460; scene = ['91461b13fd903e40', 'd588ae62f9b649c2', '11deb50de71ac927', '1c2c96e3fe52c6a6', '192c0569510eb6c8', '796ab6cfb1192ac9', 'f3daa7d364f722c1', '66b6630688276790', '96f03281c30927f5', '58a7d411c1fb25d2', '5a1eeb8bec049de7', '1d777f965a85e1d8', 'f04736fbba8bf151', '997f64d78458ffde', '7ff6f39b6dd59b9d', 'a6001b0dcca08330']; context = [[87, 119], [40, 77], [120, 154], [2, 33], [6, 46], [16, 51], [14, 58], [81, 112], [17, 60], [31, 72], [70, 102], [160, 195], [0, 32], [78, 121], [23, 56], [149, 181]]; loss = 0.024828 low_pass_filter = 0.300
+Epoch 0: | | 11469/? [1:49:48<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 11470; scene = ['a6e9da5f8ea25c34', 'd9eecbe208f90b0c', '80d18f8705a70093', 'a26a4e80d45ff758', '28a588c2c070a86e', '8bf81bba5bab3b3d', 'dc35c77570c24ea2', '9d7337ce46604147', 'e7841af4b7538263', 'c03dae8d29e59980', 'a560ee0cb837acdc', '36bc8f17c259c97c', '4fb9a68bc510c6d4', 'ece2c8a087bb867c', 'bc5a6fe47d65b9bc', 'f7789bcbce7f114c']; context = [[83, 123], [26, 57], [75, 106], [191, 227], [130, 166], [102, 137], [12, 54], [62, 96], [33, 76], [22, 66], [51, 95], [230, 274], [11, 45], [8, 42], [50, 91], [7, 49]]; loss = 0.026813 low_pass_filter = 0.300
+Epoch 0: | | 11479/? [1:49:54<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 11480; scene = ['2605fa738da22f6b', '98b8ce7ec5136f36', '92eb19ba377c51b1', 'da4089450625c919', '2b5827ae7ea29a23', '95de3fd23a9781fa', '53284766c7c0f818', 'd0252dde8512de70', 'c8a486b083a1b41f', 'c947a2448e98cc2b', 'ddfa73b45dfa987d', 'c4ed01fdbdc7851a', 'b8e02ba0056b4c30', 'f717191e3d9af1d7', '9cc2ef713f12e92d', 'b5057adf5224f835']; context = [[110, 143], [36, 80], [0, 39], [38, 71], [47, 79], [13, 53], [96, 128], [13, 48], [3, 47], [14, 52], [163, 199], [43, 81], [18, 53], [77, 110], [29, 63], [86, 117]]; loss = 0.028070 low_pass_filter = 0.300
+Epoch 0: | | 11489/? [1:50:00<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 11490; scene = ['1565693bd0ba197d', 'efe92f77ccb0db4e', '1fc78c3676411b0e', 'c39c1edf17138b7e', '15ce11f1e22a9b05', 'cf8fbabc3160c580', '57c9507543d23a6a', '98117b28e3a3f1a3', 'efd93dd97d9b8354', '8b83c145a4e49ae7', '13ff3000568af298', '42fcdbf25960b7d1', 'f6e13e47d1eb3d00', 'ce721350498c2567', 'd0b16c716a451af4', '040053f72e3999be']; context = [[78, 120], [41, 84], [8, 50], [34, 68], [32, 73], [49, 90], [115, 158], [22, 61], [45, 77], [7, 50], [5, 38], [51, 90], [100, 144], [6, 48], [53, 97], [14, 47]]; loss = 0.031241 low_pass_filter = 0.300
+Epoch 0: | | 11499/? [1:50:05<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 11500; scene = ['1bf2ad010fbce70c', '38674e38103d5da6', 'ff66ce41eedc4d21', '6750ee6f269e3292', 'f8002823df94e9f2', '1bd19a79fe682e24', 'df1d3fa0c3580009', 'bb14c9ef294f2eb7', 'aa2ee5c4626a6c43', 'c911c92ac370270a', '347f4e7f9f627a12', 'bed787d9b3bbbfb7', 'd3ab495b56ec2830', 'c2bf5ee569ba3681', '27f34df7cc8863e4', 'dbebe2e9bca9ac82']; context = [[2, 44], [19, 60], [5, 37], [52, 84], [135, 171], [15, 50], [7, 41], [20, 55], [58, 98], [75, 108], [43, 84], [10, 51], [68, 110], [37, 72], [45, 84], [13, 56]]; loss = 0.035147 low_pass_filter = 0.300
+Epoch 0: | | 11509/? [1:50:11<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 11510; scene = ['e41818c1a640f355', '5d3009a73d9e67e1', 'c0019ff8afeaf1f7', '90da26a5b04b69ed', '280d6636eae33dd3', 'f79a6334f7f97c04', 'a3e68f2a6b87063c', 'f7d839262e5cc647', '07a9a32c46e67df3', 'd9ff7a8b9114dbcd', '84dd6be769a13042', '93598ff73741eb47', 'a802441c288b598f', 'd7afba0f3ab5b579', 'c82f4c790e826904', '4589094dbb4e180a']; context = [[2, 46], [39, 77], [25, 60], [70, 101], [168, 211], [1, 43], [155, 193], [31, 73], [3, 38], [7, 38], [6, 48], [17, 56], [85, 121], [1, 43], [86, 117], [9, 49]]; loss = 0.024884 low_pass_filter = 0.300
+Epoch 0: | | 11519/? [1:50:17<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 11520; scene = ['b681aee07eaf04f3', 'ac22f6e38b10a056', '37b4ceaa6a5ec27e', '9691b4ee3a595593', '9a66cd85916a3bb3', 'd10b70a4463d1141', '63b0663fd8096e4c', 'bff9146b1d9f0872', 'e7f6ca9e6e6046d8', '79b2784291441084', '689155f58b3976c1', 'beed2d7fedf3c7d0', '61d29b571c954e20', '8f5534be509fbce9', '68ed8970712b0a9d', 'c3d128b89321a7ea']; context = [[49, 89], [216, 253], [131, 169], [22, 58], [108, 143], [13, 55], [68, 101], [4, 42], [2, 44], [79, 115], [96, 128], [145, 176], [46, 78], [148, 185], [23, 67], [9, 51]]; loss = 0.029631 low_pass_filter = 0.300
+Epoch 0: | | 11529/? [1:50:22<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 11530; scene = ['5ab84da28337a82e', 'e81379351dfd7263', '7e8e4fc21d873b5f', '2f0b59c1ffe70cc2', '1e97fe5dfd5c79a7', '3d24db7c9cd49075', '02ea4129dd5d7b3d', 'cf977b0362ca2e4b', 'c9f16c5c526ddbcd', '6a3f470f8e9d66a9', 'd4cbeb25474a17b7', 'b4e19294cf3e2116', '35c70af801116b59', '53907ac8b877a09e', '392052b37ba1b434', 'd2bd3a3f16cea877']; context = [[21, 59], [12, 51], [4, 36], [45, 87], [11, 51], [19, 54], [25, 67], [24, 65], [38, 73], [28, 68], [136, 168], [200, 239], [0, 40], [55, 93], [78, 118], [94, 126]]; loss = 0.025297 low_pass_filter = 0.300
+Epoch 0: | | 11539/? [1:50:28<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 11540; scene = ['707654a8ca3aa0a7', '7f067b4823bd9a43', 'aa35d43e76151927', 'c4ce55bea0af94e6', 'f0cce9e9948cd179', '6c26fceb2ceeadd2', '8c2ac0b557c918f6', 'e76cc38cd4a649a3', 'e32f6279def089d1', 'bcc9490e754b8b01', 'e71bfdeeda465f20', 'e894f58534099e23', '23151ba2dd9a8604', '03236c69ed00c0ef', '8de05698c3a24c5f', '3dde36edb00f0b21']; context = [[61, 95], [100, 139], [67, 106], [2, 44], [97, 137], [20, 63], [23, 64], [10, 50], [13, 54], [2, 41], [5, 38], [106, 142], [55, 95], [45, 76], [205, 248], [14, 54]]; loss = 0.026444 low_pass_filter = 0.300
+Epoch 0: | | 11549/? [1:50:33<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 11550; scene = ['af3a65a2494dd781', '0a7610d317d24b8a', '459769ea9bf3d783', 'a617b569862483a9', '15a53ffb8b43d9ef', 'dd152cc506ed208a', '65ec962651b85a4a', '6cb4ac9555d8dfb2', 'fae8dd2a73485eb3', 'd95cd751ef6f4bc5', '82c1c8656f684b1f', '0c9eb9638aa20481', '1ab0c0259d79431b', '1a2dab689da1e13a', 'fb97f55b61aa86aa', '23c0e70db47f9263']; context = [[60, 93], [51, 83], [49, 89], [172, 204], [4, 44], [16, 53], [38, 76], [26, 63], [29, 73], [26, 57], [14, 52], [52, 86], [60, 97], [22, 62], [29, 60], [33, 75]]; loss = 0.023357 low_pass_filter = 0.300
+Epoch 0: | | 11559/? [1:50:39<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 11560; scene = ['4f8e3874b212dd9b', 'e5ef6dfdcbcf430c', 'ca39898dc82ac69d', '9a2ecd82a5084f01', 'd725f58a68fccddb', 'fe2df6a236f5bc79', '32812e4fbdf0ab79', 'ec6d32b61bd26167', 'db2bc7f10561a5d0', '57ea5883b42d1a76', '398ea56207849e42', 'c42c6d551c4c4d62', '720cfd7e2861e1b7', '0c4ad6f7363c6dbd', 'a3416994d313fdb3', '7676731236980273']; context = [[1, 32], [21, 60], [24, 66], [10, 43], [35, 75], [29, 65], [0, 41], [100, 142], [152, 192], [3, 39], [32, 67], [230, 270], [0, 33], [231, 267], [7, 48], [74, 114]]; loss = 0.023749 low_pass_filter = 0.300
+Epoch 0: | | 11569/? [1:50:44<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 11570; scene = ['3057ed610c97894f', 'c84634f3d5763cde', '4861f83856a68339', '442cc1a75979747e', '52a5c89030310322', '59ae2f224b858800', '80c759aed9065f8a', 'd0d6d994dcab7a20', '1a57c3ecc5849fe5', '1542e2c1f3aa9e8d', 'e0feeb21d0e40767', 'bada3acbfed62d2f', '8f704f54edccd196', '5ab9ad7c30eca83f', '35a8eaa93452fec2', '327bc92a7c827a04']; context = [[44, 75], [114, 150], [2, 33], [46, 78], [217, 253], [36, 70], [16, 54], [30, 61], [39, 80], [36, 68], [6, 45], [16, 57], [55, 86], [42, 81], [7, 47], [3, 36]]; loss = 0.023889 low_pass_filter = 0.300
+Epoch 0: | | 11579/? [1:50:50<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 11580; scene = ['1abe4c0d5c5989fc', 'c43a6b0491b8ad48', '81f5ada9048dc7f1', 'ef148eba57056ecd', 'd8481651acc76769', '195b0d259724614e', '0978d7105d3262a5', 'a3573e9f4346aa7f', 'ff9cdf0d622d570f', '65b134ccff0da535', '21c74a87a82349ce', '0bcbaade18e8de26', 'a4071a433af90680', 'b468dbccdbe6269f', 'd1b53be4386ac0e7', 'b54e9392ea54baf1']; context = [[5, 38], [1, 34], [12, 53], [65, 103], [116, 159], [58, 102], [21, 54], [56, 89], [27, 58], [6, 39], [0, 35], [76, 119], [220, 252], [10, 43], [102, 135], [28, 72]]; loss = 0.023638 low_pass_filter = 0.300
+Epoch 0: | | 11589/? [1:50:56<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 11590; scene = ['eb7c7a3cabdebb09', 'f7a547b8137293e1', 'b85114255018b6f4', 'a2c06b7195565fe8', '0c7109f0c724b646', '421667feb0be923a', '796f9cc544565921', '54638ffc419fec69', '3e9b55a6888ea022', '69371015a3531f8f', 'a1569033155dc826', 'c8b5a79114b9d356', '72c9e010f8e37e8d', '3b49b6ba84b39699', '33a881e81042b539', 'f354f80d3026f02e']; context = [[14, 47], [6, 40], [26, 69], [1, 42], [17, 54], [1, 43], [24, 62], [104, 144], [163, 201], [71, 111], [88, 130], [20, 61], [60, 97], [18, 54], [3, 43], [112, 143]]; loss = 0.029971 low_pass_filter = 0.300
+Epoch 0: | | 11599/? [1:51:01<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 11600; scene = ['461a21cc0d33eced', 'e4230c118f07c919', '67d2598341a0806d', '890224694b0d3646', '7e653b80e209ad00', '3291a7e78e54162a', '7f08598eb9ef1c0c', '9f44bde8f7dcf62f', '462bfd1b62b6cb54', 'a56e2c19e91b75a5', 'b2789c1a5c127a02', '6684fc33674f2025', 'd11ebc30ee032c3a', 'ee4dcc640af50e65', '7430821f0f20c61a', '3fd37c92837271ef']; context = [[82, 114], [28, 70], [0, 38], [30, 74], [7, 41], [137, 176], [26, 57], [3, 36], [5, 50], [123, 162], [29, 65], [2, 44], [28, 62], [44, 81], [12, 51], [24, 57]]; loss = 0.025143 low_pass_filter = 0.300
+Epoch 0: | | 11609/? [1:51:07<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 11610; scene = ['d0f4f1c4157d67aa', 'fe1b92932a2eb481', 'd51a5f3f6dd9f3df', '9d8ca21d7984f76b', '6e53d59a04d16cd8', '1ca420ea134b5748', '08683965a087e86a', '93ce775b91288252', 'd34e6f770d5be502', 'e783de3eb3d285a0', '80a6a796ecd278ae', 'd2e14852ad022560', 'af8d1f77be2d8bf2', '4b7185a79978e486', '7eecf8d8b64017b1', '8c0235ac1048ca32']; context = [[76, 109], [41, 74], [106, 144], [19, 50], [22, 59], [17, 55], [18, 51], [16, 61], [30, 75], [64, 109], [160, 205], [42, 74], [121, 160], [190, 231], [26, 65], [85, 119]]; loss = 0.072407 low_pass_filter = 0.300
+Epoch 0: | | 11619/? [1:51:13<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 11620; scene = ['73abd5048eb254a5', 'aa8aacb5df95e356', '78d2e86bc8669dd2', '2c1b4bbf79a3aaef', '74e30a73a5c11c30', 'c2fc6ef65cb36488', 'ba478cd05917a426', 'f78219e90033a43b', 'a32094abd3d9859f', '7cd0dfe42850cc65', 'bc1d9f8f333d2cca', '2d6f6673d121eb96', '25b033bd4c05f4e1', 'e1dae07984c41f6f', '941a8e3ebd83048b', '71e0ca8b39e099cf']; context = [[0, 31], [41, 86], [38, 77], [76, 109], [1, 41], [136, 171], [8, 45], [46, 91], [48, 85], [16, 61], [13, 58], [3, 42], [33, 66], [40, 82], [47, 80], [26, 68]]; loss = 0.034376 low_pass_filter = 0.300
+Epoch 0: | | 11629/? [1:51:18<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 11630; scene = ['5a3fefc76ff4ee09', '40ea50b25d5808fe', 'ba02405928d0a4aa', '3be599773b6276d3', 'b86f3ce1bbc34571', '15209b5fbb6b8b46', '5b102feeee66dff6', 'f97c2793d856bf9a', '96ee7fc11117a67f', '1b4bf668832e3786', '550411cdc1322414', 'd2de8aa86cea4852', 'c08c569763ecf197', 'eb8b1d524bf52cba', '32cb26b069d88a69', '021396e83a02362d']; context = [[26, 58], [133, 167], [54, 95], [8, 46], [0, 36], [146, 189], [175, 213], [74, 119], [4, 35], [59, 97], [46, 91], [12, 46], [62, 102], [122, 156], [52, 94], [1, 32]]; loss = 0.024912 low_pass_filter = 0.300
+Epoch 0: | | 11639/? [1:51:24<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 11640; scene = ['cfcadf0fe447c04d', '3cd73f5f79d0989f', 'b7b3c6a2d1d6dc61', '7418538ade81e503', 'ee3f3bcb1009b7b9', 'b3d77aa21637ed06', '5e8bff39dc5bab67', 'a126745e68e4fb16', 'c40eccb3fc4c29da', '2bedce9198d2994d', '7b7888f9868095b3', 'b358e3ddb4adb7c9', '8d123ec24750f362', '39ce14a64ed1ae2f', '639ebb79eb48f420', 'fb1ce36de4450ea0']; context = [[68, 100], [35, 78], [12, 44], [212, 246], [8, 49], [13, 58], [20, 63], [125, 170], [91, 123], [21, 54], [54, 90], [29, 63], [14, 49], [109, 144], [72, 106], [6, 49]]; loss = 0.024331 low_pass_filter = 0.300
+Epoch 0: | | 11649/? [1:51:29<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 11650; scene = ['da1d055a8426b8d8', 'fd772f6ff7936a2a', 'e7e9872d59ae41a9', 'bd109e7ed7c027a0', 'f5c8406a588131d5', 'd0b938803065b0f7', '6ea3f9ffb32ea267', '836f0c4495d07958', 'f5f225a43fcecd0d', '446933c7668779a4', 'de51b5fb44137a23', '5449702e7a248c83', '0ba513fbd074377d', 'f2e6470ad27f495d', '650c97a5d26d16fd', '59d453d9a3928400']; context = [[100, 131], [49, 92], [23, 58], [29, 70], [8, 43], [0, 45], [81, 121], [34, 69], [110, 153], [10, 52], [3, 47], [13, 52], [18, 54], [44, 77], [54, 88], [32, 67]]; loss = 0.025764 low_pass_filter = 0.300
+Epoch 0: | | 11659/? [1:51:35<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000train step 11660; scene = ['86ddb8cd0b6f0741', 'aaa8dfa7e8498bd9', '5019925808a59723', 'f5934f621b0a002a', '96fcce02a7674e02', 'ecc88f03e2e5ef81', 'db77e4c30e954d3f', '23c177f84829d2a6', '9a9367ff87294587', 'fb331a491ca2e5e0', '80fcb09bc1e09f71', '0a830c593f602641', '3e8a5e421d2dd46d', 'c1a27588c9184422', '55b7b2536c1b065d', '612162b515851e55']; context = [[9, 48], [140, 173], [21, 61], [196, 232], [12, 44], [77, 119], [24, 58], [148, 179], [36, 68], [28, 64], [3, 34], [1, 42], [148, 181], [37, 74], [72, 104], [7, 40]]; loss = 0.026573 low_pass_filter = 0.300
+Epoch 0: | | 11669/? [1:51:41<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 11670; scene = ['db4ff231d9dab8ba', '404a47d74c89b6a0', 'd6f963473691d5bc', '75863b2203d61a51', 'e5fcd9490d306b0d', 'e820844df0b83918', '8822bda998ebebf9', '99953a73e02cf657', '5be06a710f3fe6f2', 'dd811aac95fe2a28', '79a0e8398b6a1cc1', '7418314e76240536', '210c21e8248a76f7', '9f06cf0ba2ddd1c1', '5e494fb5e1e7b29a', 'b14f5a683aba2898']; context = [[35, 80], [7, 48], [87, 124], [66, 101], [3, 41], [19, 57], [22, 58], [93, 129], [69, 111], [36, 77], [24, 62], [8, 49], [57, 89], [33, 67], [122, 166], [20, 54]]; loss = 0.026015 low_pass_filter = 0.300
+Epoch 0: | | 11679/? [1:51:46<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 11680; scene = ['3e8b48b14798f1b9', '643c59587f0c6ace', '9bc1c2f13f879d20', '097b23d5ae2aa4de', 'c6cb7394690cc9e0', '4907375e0a4de10e', 'a10052fb69f15ffc', 'd33be1bdf678f485', '3f30aa84e7305602', '8708a0e8c937038f', '47b3e5d4b3b534e5', 'd23794b5e86c3b7c', '09a0b9fe4c9b0691', 'fb0040c94bea2a4d', '026b6ccfcd08ea80', '6c450e26a09407a4']; context = [[15, 49], [3, 44], [14, 49], [14, 58], [0, 37], [7, 46], [75, 116], [18, 54], [61, 93], [7, 40], [4, 42], [4, 40], [28, 69], [136, 174], [153, 193], [159, 204]]; loss = 0.026402 low_pass_filter = 0.300
+Epoch 0: | | 11689/? [1:51:52<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 11690; scene = ['f179064b7a845fb1', 'de51b5fb44137a23', '8055c456d35e5747', 'f5f225a43fcecd0d', 'd0b938803065b0f7', '6ea3f9ffb32ea267', 'da1d055a8426b8d8', '446933c7668779a4', '836f0c4495d07958', 'e7e9872d59ae41a9', 'fd772f6ff7936a2a', 'f5c8406a588131d5', '8ed0d973443d12a5', '3eb3cf4f286590da', '3ab9b7649181c36f', '45404925d497bd85']; context = [[133, 171], [6, 38], [7, 45], [106, 139], [12, 43], [30, 67], [2, 36], [22, 53], [10, 41], [0, 35], [11, 53], [43, 75], [130, 173], [199, 238], [26, 65], [120, 153]]; loss = 0.024748 low_pass_filter = 0.300
+Epoch 0: | | 11699/? [1:51:57<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 11700; scene = ['e9a018b75e1c0ee9', 'ad5885cdf02ba3aa', 'bc5c89ccb8b60ee6', '8aa71060eb2a7298', '6f9c7ad031578758', 'fb01f5097fbb0cff', '3fcd47dc9a98033c', '84ddcc7fc4efe906', 'ad8515c821075061', 'ed32f5c2550ca9d8', '2c00e3b9941759b4', '2f4d619df72bfc71', 'c57a71f6511a205c', '13bc6744879e252c', '215f7e7f01a2cf01', '71cca070093ecffa']; context = [[77, 120], [14, 46], [29, 62], [3, 41], [110, 145], [75, 112], [0, 44], [10, 43], [170, 206], [0, 34], [89, 131], [56, 90], [1, 42], [146, 185], [108, 148], [20, 59]]; loss = 0.028659 low_pass_filter = 0.300
+Epoch 0: | | 11709/? [1:52:03<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 11710; scene = ['b385335fb75e585f', '840549e3e9a07463', '1b94ff23d213ff95', '0be7ab3df88c9c6e', '9c7f566e1aa31a8b', '5e05a3bb4a7b2408', '36e1163e28f2bfed', 'ae5102a2fddf072b', 'b30bae372ee0cb0d', '90a1c5e227743bdf', 'b02e382c90afbda7', 'eece18309729d1f1', '240037205a68904c', 'b73c82a030426b3c', '3b807d242f762c84', '9782a6bef3692f75']; context = [[170, 212], [54, 87], [2, 47], [100, 138], [76, 109], [139, 175], [10, 43], [7, 39], [17, 53], [3, 48], [40, 72], [93, 134], [220, 253], [20, 51], [70, 101], [31, 70]]; loss = 0.028029 low_pass_filter = 0.300
+Epoch 0: | | 11719/? [1:52:09<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 11720; scene = ['ade2239a68449d67', '27980cb6205aed02', 'b9ffdd6786ddc018', 'd1fa4e26c8e5d32c', 'fb73c1c5f2889329', '034e4f9e2b30a3ca', '0ba5c7641900eb58', '470f6a9cdba0a1d5', '299df18f61e685c7', '9087cdd4baa858d6', '0eb569a5be0c965c', '97a236f849d3043a', '95cd28864a17ccca', '75f00f8813c7a3b1', '4fb40dc3a4716a0a', 'fa3d7ea00b62e8da']; context = [[30, 74], [57, 94], [46, 89], [22, 56], [28, 64], [76, 116], [18, 62], [46, 87], [130, 164], [5, 48], [51, 82], [114, 147], [127, 172], [4, 44], [58, 100], [55, 99]]; loss = 0.029157 low_pass_filter = 0.300
+Epoch 0: | | 11729/? [1:52:14<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 11730; scene = ['565c69d4e200fa4e', '7214f16379a2cfcb', 'dbfc3f7573753601', 'ce38c38d4f61c599', '3b4451e10b79e555', '6c4cc8781a04dd6c', 'c4bacb055e2540bc', '6ccc2acf7133aec1', 'f16461e58448c4a6', 'a071d9276f6a9272', 'ff4a1fdcceb11eac', 'd4f1e8b6c1597afd', 'eebc10a8972de7ee', 'ce2a1c1f5d1dcd1e', 'c7cf9b63dc3e5830', '4a9396facfcfdfe4']; context = [[54, 89], [39, 75], [54, 86], [0, 36], [19, 59], [29, 70], [18, 49], [64, 103], [1, 35], [69, 104], [35, 70], [131, 166], [78, 116], [5, 37], [37, 68], [16, 55]]; loss = 0.031538 low_pass_filter = 0.300
+Epoch 0: | | 11739/? [1:52:20<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 11740; scene = ['9490f47618eac025', 'df5ec669a18bd867', '00259da07b0dba33', 'ea99cad2f352b54a', 'ae2c33fc435d7613', 'aea87b7cc45be423', '87a64b94f041d188', 'a588e1cebdfb4b13', 'ea549f4f1346bd78', 'a9c74aa59d6a1b47', '7f656223fcc8913e', '5cdb1885cfb02fc3', '7ac6fe6b418993b8', '941e4f4114b4f932', '1725fa1cae244fa9', 'f04477958cf96d00']; context = [[94, 136], [36, 73], [33, 70], [30, 74], [7, 40], [92, 134], [78, 119], [172, 215], [83, 121], [50, 92], [216, 252], [128, 169], [60, 101], [78, 119], [0, 38], [46, 90]]; loss = 0.025666 low_pass_filter = 0.300
+Epoch 0: | | 11749/? [1:52:26<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 11750; scene = ['394a80a410049b97', '952518da70706c27', '63e7c533debc1cc6', '0548de5024c713a4', '35c7e73002aa5bc1', 'a0114e2b6cd504bd', 'e3f8c8880b5884c3', 'b981274d6200dee6', 'c7eedc91db747c3a', 'c97d905b9b4be11b', '4811d8b25548586e', '0b3450e60786b915', '4444717bbd6638d5', 'd101a39a319befa5', 'cb2397daeb2ee8e4', 'f471211bbbc65a17']; context = [[130, 171], [16, 60], [144, 176], [19, 54], [21, 61], [159, 201], [6, 39], [29, 60], [94, 127], [54, 98], [25, 65], [5, 45], [66, 97], [58, 97], [44, 82], [89, 126]]; loss = 0.033620 low_pass_filter = 0.300
+Epoch 0: | | 11759/? [1:52:31<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 11760; scene = ['5ae14b01a500682a', 'b3c96d2c36c94425', '3670d3f2b5b53c15', '0836698809f746c6', '22b97501681b7458', 'a74acf99e81d7a6e', '420b61967c60d09b', 'd27399ddbb98483c', 'b2a77d5fd2f6f773', '3d7f5076c683cc80', '0f97723fd22c07c0', 'ed738053c763cacf', '2ae8d6c6510417cf', '5b39212a0664e8c7', '0c25875ac5440b66', 'a3af6cb061c06d46']; context = [[59, 93], [80, 117], [33, 74], [28, 72], [18, 53], [48, 87], [14, 58], [75, 114], [67, 111], [113, 147], [86, 130], [9, 45], [1, 39], [56, 89], [20, 62], [12, 48]]; loss = 0.026484 low_pass_filter = 0.300
+Epoch 0: | | 11769/? [1:52:37<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 11770; scene = ['aecaf8906a0a9bb1', '09c65d81dc3077f9', 'e70318df450ef2d3', 'f70bb4d0420a0db8', 'a88aacae0caba416', 'bb3ea257b38259a4', 'dacdbfb398ff5f6d', 'f10782ce78501840', 'a6e57377594a7a40', '148d73d25691beab', 'e313fc42cfe43a81', '08c6d6ab90e6b86b', 'c53eb8ed399c3598', '507b9f1675988055', 'd67ff3b1493cf038', '15f89ff3e4a8ddf3']; context = [[41, 84], [68, 101], [120, 165], [189, 220], [9, 47], [1, 46], [64, 108], [102, 133], [39, 71], [1, 37], [101, 138], [36, 71], [96, 132], [51, 93], [130, 167], [20, 58]]; loss = 0.028313 low_pass_filter = 0.300
+Epoch 0: | | 11779/? [1:52:42<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 11780; scene = ['6d5b5729fd856041', '348f41557b28f27c', '5e00fe8ddb44c346', '7914a7f008a2a4b5', '169edee379eb34ea', 'e6e089811d63abbe', '1f4bb4d3ae5384e4', '65459c55dbe18f31', 'f0b4753901c7d813', '987f25668fb32ad3', '1f42a6ad27156511', '04d1ae2f373d84eb', '2b6cbde5be5750ea', '6eb80b416e39b0d8', 'f38d30f6f359f68e', 'be5485624e33be91']; context = [[13, 57], [67, 102], [9, 40], [1, 34], [64, 98], [26, 58], [104, 141], [3, 45], [43, 82], [20, 53], [48, 86], [28, 66], [95, 138], [92, 128], [30, 61], [0, 35]]; loss = 0.028386 low_pass_filter = 0.300
+Epoch 0: | | 11789/? [1:52:48<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 11790; scene = ['29ad7f2d5b0f798a', 'c047d0dbbfde98e4', '8c311d826f923a77', 'f00cff8f4ae371a4', 'a97eef4d4e9f345e', '53b0a4720f4912bd', 'cbbd98e0f99af188', '7c6d4de848377911', 'd12ba3a2ac78cfb6', '50c9b910f6706ed5', '1fd4fba41c85f3c9', 'd36fc8d3f149522a', '9f655edf6923e6cf', '50eca5cae5cdad57', '9b2d544c36b4e88c', '3e73ddaf0ee94d48']; context = [[21, 63], [167, 199], [135, 169], [3, 35], [0, 38], [239, 276], [64, 96], [75, 108], [20, 53], [57, 99], [68, 100], [94, 129], [52, 84], [36, 77], [5, 46], [115, 156]]; loss = 0.029031 low_pass_filter = 0.300
+Epoch 0: | | 11799/? [1:52:54<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 11800; scene = ['802520a7ddfd5f22', '84669dc88abb2e9c', 'c03f0fd23901bbda', 'f3ca83f9f1a724e5', 'b6a00c02405f91c9', '943ba380f930ba42', '7f04e2db1a0194ef', 'bf7a9d577bd81dd3', '2fe65762fe742c92', '9c40bd34bf257a2f', 'cf4339f5f5f6bcd0', 'e36703ea5319facc', '386946683ab3f8b6', 'c1ece8e4c3255932', '31faf11f780fd4e2', 'c36502c018662df6']; context = [[51, 86], [25, 63], [11, 47], [18, 59], [6, 39], [92, 128], [121, 159], [22, 61], [10, 47], [53, 97], [90, 130], [29, 70], [205, 250], [73, 114], [3, 43], [23, 61]]; loss = 0.026602 low_pass_filter = 0.300
+Epoch 0: | | 11809/? [1:52:59<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 11810; scene = ['53d2992e5899c3d5', 'ab88a6b3b387dac9', 'b7aeefdcf8c006ec', '0143e8470519b0c1', '9eadbd1dc0bedf12', '2427f1dce789bd25', '32dd8e58c56b2412', 'eb96c012e5accb8e', '8cac5b522805ff10', '25923a5a8700f06b', 'fc609053403c060d', 'b686f91c36fa4e0a', 'af5cd9d21317b049', 'e3aa1108e83ef946', 'a50f47fbc6f4652e', 'cb12216cd8e217bf']; context = [[2, 42], [57, 101], [45, 87], [22, 54], [6, 38], [212, 246], [53, 96], [37, 72], [17, 55], [66, 102], [8, 52], [26, 66], [88, 123], [15, 54], [58, 94], [41, 85]]; loss = 0.024044 low_pass_filter = 0.300
+Epoch 0: | | 11819/? [1:53:05<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 11820; scene = ['4e364784e83500b5', '4bfb801ecdad7148', '2d3fccc84e8dd3f4', '30124191dafb3383', '00ae4a6d0bd2eccc', 'f4020f90115a2b8a', '560f67df7fafa36e', '51835ff828009889', '49dcef9a0f25a2c4', 'ad6996ece8de4321', '3bcc68a17953c75a', '2681a222b2de8212', 'aaa35d5b558b2928', 'f4d5dd4c8d4152ee', '0979d74fb6229f17', 'aa43846bd2c5e3bb']; context = [[37, 78], [1, 33], [192, 224], [35, 72], [0, 34], [45, 89], [21, 58], [38, 74], [1, 32], [13, 44], [55, 86], [2, 45], [10, 41], [62, 106], [14, 58], [100, 135]]; loss = 0.023016 low_pass_filter = 0.300
+Epoch 0: | | 11829/? [1:53:11<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 11830; scene = ['1d76c3d341a60952', '5e0599134dcfaeea', '726929198a0059c6', '32499509bb075446', 'f84b1a9902b54c5f', 'c7de48f091ef8f81', '1cb82090de1b4ee1', '2a13f41268478afa', '02a0ccd1bd1a7696', '52d583eceb3d3979', 'e9bc1c5024c66510', 'a237ef616a3b03f5', 'ad479fe612717b83', 'dc691056764fa534', '072e09312e1c44b8', '7c240633fd3203b5']; context = [[32, 64], [28, 67], [19, 60], [177, 217], [2, 45], [9, 53], [136, 181], [94, 130], [210, 254], [63, 102], [1, 41], [3, 39], [6, 49], [42, 87], [10, 54], [28, 73]]; loss = 0.025217 low_pass_filter = 0.300
+Epoch 0: | | 11839/? [1:53:16<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 11840; scene = ['0a3c5ae29bf2cb59', '1a20aac3a317d67e', '9beaef3924b260b5', '62560eba3ba6f77a', 'ed6c9a5913622c3d', '51c1d0c26b7307b9', 'ac0a5fb83c20516f', '60b23fcb19992892', 'e0473d7d656f6e17', 'f2b8d7feb823057f', 'cc27e607dbfdac8f', 'b3aa335a5095564b', 'c577c31302675f04', 'e485f3bd0dd46f04', 'daf3b5445dda23fd', '55ff5f5024b9f532']; context = [[95, 126], [18, 50], [88, 124], [26, 59], [42, 85], [46, 78], [238, 270], [26, 66], [33, 74], [78, 115], [47, 82], [0, 40], [75, 115], [213, 250], [15, 54], [18, 59]]; loss = 0.028123 low_pass_filter = 0.300
+Epoch 0: | | 11849/? [1:53:22<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 11850; scene = ['7c5b46a34157e77b', 'fde72c5779d294aa', '629e4849c3d26620', '6679f59d495204c0', 'a4e0f20145b56429', 'b9f12695db134381', '7dd74970fdc4c81b', '46aef4912a548d21', 'b6af197151ca0543', '7f68605e483cb231', 'a69c46f6bf343d2c', '08e8d767c22b2f76', '3f5a3f57adf8a7da', '4e51832db28d7a2f', '12558d2c2bc93e4d', '6b5508cc07fd8bc8']; context = [[5, 43], [183, 224], [43, 81], [56, 92], [33, 74], [1, 37], [54, 99], [141, 172], [47, 89], [21, 60], [96, 138], [10, 48], [152, 193], [2, 46], [2, 33], [0, 42]]; loss = 0.026166 low_pass_filter = 0.300
+Epoch 0: | | 11859/? [1:53:27<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 11860; scene = ['61491d87e3e6ca60', 'ea297d66f60d6b3f', '034a57b1ea3c8ca9', '053ae5f5b93b1d20', '81200ff43940ce90', 'ec50fa67a550aa17', 'fb6c585450410ae0', '582179e6a58732db', 'd77ffc6a0bc1b514', 'c5197c6f18fcfab7', 'c0866648804899eb', '5d00a543f59ea3ab', 'f91d97a02869cbd5', '7159d6505aa199b0', 'bdcf63d0e401dba9', '8309dedf60ef56c5']; context = [[44, 78], [31, 75], [16, 58], [40, 76], [4, 39], [194, 239], [5, 37], [43, 87], [2, 36], [152, 188], [35, 76], [220, 258], [70, 109], [30, 63], [9, 46], [4, 36]]; loss = 0.028758 low_pass_filter = 0.300
+Epoch 0: | | 11869/? [1:53:33<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 11870; scene = ['f41915d4a145f023', '204880793f5295f0', 'da828b199e8c4a73', '2bae15c9bc833a3b', '3e728ab85f6d379a', '67748b0b9af1a23d', 'be5df0ca4b8aa89b', '2b1474ef6b7f54c1', 'cb25459349f37a83', '13f1750202277c01', '2d0f0343858859ee', '31bdd3ef9c2cb639', '0fd8faa9473eeb6c', '74001972901b7a03', '9776b8ac431275ab', '647c92e70b37c9c7']; context = [[38, 75], [0, 31], [9, 49], [97, 141], [86, 117], [13, 45], [21, 54], [29, 72], [18, 56], [4, 49], [92, 136], [31, 73], [0, 43], [128, 163], [118, 155], [83, 115]]; loss = 0.048296 low_pass_filter = 0.300
+Epoch 0: | | 11879/? [1:53:39<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 11880; scene = ['bc9ed05d37d20268', '0d2286f126b83312', 'ad8ed44bc4adc65f', 'eb8cf09366261059', '9757e5d3f5898474', '82853cb679bdc466', 'ea194405414b27e5', '5902666d915570b0', '50321b969aeed936', '082ba86063ee7e6f', 'fc15fd0a7d1bd1b2', '4b6452c634b79f57', 'fb56af60d6f44825', 'bf9a4b1f7627c273', '22d8382cf0164976', 'ac04b9c416792d26']; context = [[133, 173], [27, 69], [9, 40], [81, 124], [119, 164], [9, 45], [38, 80], [13, 55], [36, 73], [180, 215], [10, 44], [28, 63], [38, 74], [11, 52], [103, 139], [15, 59]]; loss = 0.027328 low_pass_filter = 0.300
+Epoch 0: | | 11889/? [1:53:44<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 11890; scene = ['e3d743c0a3aeaae2', '319a31f5b39470e3', '44a06a79451f1d5b', 'd162f61100eaa1f5', 'f7b66cf4efb27146', '57a2e1f94490e770', 'fa5c230cb2fa768e', '105cb87f72ce69a8', 'b4e6ee21387ace94', '378c2fb1b45c30d7', '41aff47d6824d66e', 'd1bf37200ec6b9f3', '45dd934cb342509a', '41d4abcff79ce1a2', '7064a41c06854720', 'e2633bd88045350a']; context = [[98, 139], [162, 198], [21, 62], [24, 65], [2, 35], [21, 62], [91, 135], [200, 232], [13, 58], [64, 105], [0, 31], [137, 173], [5, 38], [0, 35], [63, 96], [162, 197]]; loss = 0.028906 low_pass_filter = 0.300
+Epoch 0: | | 11899/? [1:53:50<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 11900; scene = ['0c7109f0c724b646', '72c9e010f8e37e8d', '796f9cc544565921', '54638ffc419fec69', 'eb7c7a3cabdebb09', 'b85114255018b6f4', '421667feb0be923a', '129c6eb499de317e', 'bdfb7017a16fb8ff', '2aa779433bb5d794', '209a430849ed8266', '42a868a8da9e7039', '8c6c789f025a5e42', 'c6189d1dddecc92d', 'aa32d19e98f77cdb', '7f9dff2e30b4bfc6']; context = [[1, 41], [80, 111], [66, 110], [65, 104], [53, 98], [39, 82], [17, 58], [14, 58], [73, 116], [23, 63], [45, 90], [7, 45], [22, 63], [133, 174], [103, 141], [38, 71]]; loss = 0.029539 low_pass_filter = 0.300
+Epoch 0: | | 11909/? [1:53:56<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 11910; scene = ['b17a4057ec690a1a', '72cd35a718e0120d', '1b387f2dc63125fe', '10708f738dc1cdcb', '104007f70e21a2fa', '6f81e13e86ca60e2', '3fc3ffb2f9324d38', 'd17e5a7ff26a23b7', 'dc95b36f9cc74567', '11233628023da8b6', '824c1c262eae6e13', '5f47b4f31b346a17', '77210b9d48fc2c62', '92ecea59a68d3818', '4d88a2b61e490210', '69f7e4f788c49aa4']; context = [[33, 75], [10, 49], [61, 95], [23, 62], [19, 57], [31, 68], [91, 131], [0, 32], [90, 129], [52, 86], [3, 41], [23, 68], [3, 46], [4, 49], [15, 54], [51, 89]]; loss = 0.026890 low_pass_filter = 0.300
+Epoch 0: | | 11919/? [1:54:01<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 11920; scene = ['8b60b394df2a9220', 'f3d21d375f937dce', 'de02237229575e23', 'e7431d87279f2f40', '763fbba111a520fc', '2f1f43ea5b2766f4', 'b7f4f08c3ee747cf', '52c81276984654b7', '31b4b2836cd69815', '507726c99440971e', '80b613079b76859e', 'bf3dde450fbcb9a9', '0b159acff5da2cd0', '557991422dfcffa5', '47f6fcc9d713c0e9', '5ea8390f949c9c5e']; context = [[17, 56], [12, 57], [103, 146], [153, 194], [19, 58], [12, 43], [14, 46], [6, 47], [35, 75], [214, 251], [13, 51], [28, 60], [71, 107], [68, 107], [46, 91], [7, 49]]; loss = 0.022690 low_pass_filter = 0.300
+Epoch 0: | | 11929/? [1:54:07<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 11930; scene = ['bd92ad43a04f9997', 'cdaf697957c30177', '9bbc20c7beeb031a', 'ab3352b378297865', 'ce2a43daf508bd6f', 'cfd21e505b9804be', '1f7d98ea73c32c36', 'a190cb946726d886', 'b6bddb14c9ed230b', 'b27b5bfe5e4a5aec', '1ec05b1217b8faed', '03a91501aac2c6cd', 'a27eef8a648834bc', '75471527ff3b5afd', '35bf2746e0a4e79e', '6a1ea67384a032e0']; context = [[204, 246], [2, 47], [31, 75], [57, 102], [46, 77], [25, 62], [88, 131], [139, 170], [3, 44], [2, 46], [15, 50], [8, 48], [201, 238], [7, 48], [25, 59], [133, 170]]; loss = 0.023906 low_pass_filter = 0.300
+Epoch 0: | | 11939/? [1:54:13<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 11940; scene = ['603b6eb2eba559bb', '81fe719d8b39d5b3', '1402ebed2813db03', '61253d9ece7b9bf3', 'e1dfb87d2913b279', '072e09312e1c44b8', '6992c59cc9057772', '4397f3a11cce932c', 'a70857b8984c9071', 'a26ce2d066354ef8', '7c240633fd3203b5', '2c6fc82128274bd2', '7dff7cc241357591', 'e199c79aa53f3143', 'aa89328fd849d813', 'd955d083ff826ae1']; context = [[66, 99], [46, 88], [62, 93], [7, 38], [68, 106], [21, 56], [0, 36], [111, 142], [102, 138], [18, 62], [21, 64], [8, 46], [27, 60], [46, 87], [2, 42], [6, 37]]; loss = 0.025370 low_pass_filter = 0.300
+Epoch 0: | | 11949/? [1:54:18<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 11950; scene = ['6a4fe529a00082f2', '2d417198a5ebd20e', 'b05e5158361732c9', '06f60580eba61d9d', '6a6beb90616e4f37', '5d167006936398f2', '6792d6a4f4e87e24', '337c66222a513af2', '5f22fdf235746488', '56c92457c51952ec', 'cfec50872cec53bc', 'ecc15d661d8dbe9f', '42c7147c591f47cb', 'e150d93af0c99bce', '08f3bdfcb2b56aa8', 'c41082400deaab80']; context = [[137, 170], [1, 44], [39, 81], [13, 49], [82, 115], [16, 48], [26, 66], [71, 102], [23, 59], [16, 57], [9, 43], [95, 126], [24, 66], [87, 128], [11, 47], [7, 52]]; loss = 0.028022 low_pass_filter = 0.300
+Epoch 0: | | 11959/? [1:54:24<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 11960; scene = ['0f80349efadcafcc', '4d939cb4f5310c99', '1bdc3545839f87fd', '2b2dc9cd1a3408e0', '55ab1f69eca7f59e', 'f9cc10023bf41280', '7d30d61c78c62100', '490a8076c6258f22', 'd80659d665f7b903', '9174b7d336b16faa', '862bdc7209e163ea', 'd3c13f24d1748e4e', 'a588073ae3085066', '42b4c926e4c0b0c3', 'd8af738fe0e075cd', 'c364ab8ae4c07ec2']; context = [[4, 39], [1, 33], [52, 83], [46, 85], [43, 75], [35, 74], [14, 52], [13, 47], [119, 154], [82, 124], [131, 169], [138, 169], [161, 206], [14, 59], [7, 44], [160, 195]]; loss = 0.026604 low_pass_filter = 0.300
+Epoch 0: | | 11969/? [1:54:30<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 11970; scene = ['7b8f05e4998d2e19', 'a90d7e1f603c2678', 'b8ab08f0e030777e', 'eaa649b69e528f27', '0ceb49cb761bc66c', '9b551ae79d8c7141', 'a3d2514e6567fe0b', '84814092df31ec91', '58f512448a5e2f0c', 'e6b981d699cb4031', 'e1ca7fc229cf24c1', '947f3ba9b79e515f', '01a156f1f7828d08', 'b07d8d600cc3cfa1', '72f07cca7eb20710', 'ed38411cdf101025']; context = [[5, 48], [34, 68], [40, 79], [38, 77], [47, 86], [23, 60], [81, 125], [37, 79], [42, 73], [99, 130], [21, 66], [37, 75], [139, 170], [2, 47], [57, 92], [40, 79]]; loss = 0.025697 low_pass_filter = 0.300
+Epoch 0: | | 11979/? [1:54:35<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 11980; scene = ['d800d4da5605b3d6', 'd438e6b186071150', '90beb28f8720f849', '5c047522c1e8764a', '70b6c45280496e84', '0b8049e94cc33a66', 'e970eebc4848850b', 'c75dd6b151fc618c', '39fa6b21b5a2e65e', 'cb6a581957b0a925', 'a7fe1e367a54260c', '86168d9408d50c1d', '4d7f27209cb09538', '644c17fea392fcad', 'd15676d8db5e0db0', '20c6b34228f318ef']; context = [[28, 71], [2, 34], [148, 188], [118, 162], [30, 62], [94, 138], [126, 159], [36, 79], [13, 51], [166, 200], [57, 101], [39, 80], [14, 53], [7, 44], [22, 56], [114, 152]]; loss = 0.024811 low_pass_filter = 0.300
+Epoch 0: | | 11989/? [1:54:41<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 11990; scene = ['4c01186382ecdb09', 'f139ab06e65c3762', '6854cdb73b5a95d4', '0a08efb286b97b9b', 'd69dd8917d2e2142', 'cfc2dff63bf01958', '84d357fb13b45975', 'b210d0377ab51282', 'e769f586e71e7aed', 'f5b92161da94c240', '707532eae3641c9b', '9a65556aae220044', '04304e68415ce356', '0e36897986bbddeb', '3dc96c1bb9abb3e3', '91c58367dea67871']; context = [[107, 138], [73, 116], [33, 66], [88, 132], [32, 73], [29, 70], [31, 63], [47, 81], [136, 176], [29, 74], [122, 157], [29, 67], [25, 58], [34, 65], [144, 176], [39, 75]]; loss = 0.031055 low_pass_filter = 0.300
+Epoch 0: | | 11999/? [1:54:46<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 12000; scene = ['b373eeb00c590d9d', '0ddbcb756905070d', 'a659f0d8f7a8fcc8', '1f2eae1083f108ad', '8cc2ee4703ad7192', '6a53118833481290', '401ce8a065750160', '7a33856e537d35ac', 'eb2089db75a8c8e8', '793428d6ae107891', '4a178a4f32b0977e', 'e9ee332cdbd694df', 'f12189d951f4e8d1', 'b895902bff2921c5', '3cad19774ffc97dd', '52e3848d4a28a57f']; context = [[3, 48], [2, 40], [13, 57], [85, 124], [37, 68], [24, 67], [0, 43], [70, 115], [25, 56], [1, 42], [39, 78], [2, 37], [6, 39], [1, 37], [31, 63], [77, 117]]; loss = 0.147491 low_pass_filter = 0.300
+Epoch 0: | | 12000/? [1:54:47<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000validation step 12000; scene = ['97ef4323919c5e8a']; context = [[36, 72]]
+Epoch 0: | | 12009/? [1:54:53<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 12010; scene = ['80d82fe6cd88186c', 'f69e5ed85946337d', 'ff5926af50275b6e', 'b1bb68bc47ee5b68', 'c7469d734caa6589', 'fda4975df49b4ea6', '3cb5133227ba02e9', '3f6274ca0dc5dbb0', 'ec09cd06976bb6ed', 'e7b82ba02f9f37f4', '7340966e764f81b0', '55fb1bb001195c2e', 'c8d9b5cf9ebb5419', '03f7460f8917b6d5', '2fad8eea9cc3616f', '2ad704f011637e4b']; context = [[49, 91], [170, 206], [22, 63], [17, 51], [26, 60], [173, 216], [0, 44], [30, 73], [23, 68], [50, 90], [2, 43], [20, 64], [118, 153], [172, 215], [18, 50], [2, 34]]; loss = 0.023219 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 12019/? [1:54:58<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 12020; scene = ['18c6d122fe4c3dc9', '7e3991a1e57c1b92', 'cc9c60269e489a99', 'c9fb94c034427022', 'b526812abb4244ea', 'e621fd73ae473881', 'bdaf42f6d92c13a4', 'e5ec53baa443456b', 'a144d1791f033ad1', '6b03f3ad9c835c21', 'e26067b30e26eaa5', '99898ddec952df0b', 'fa0d3eb64efeae96', '0aba522b24ee4f65', 'e80810876083e4d7', 'b83caf4688d7f773']; context = [[0, 44], [53, 87], [30, 71], [1, 35], [47, 89], [50, 91], [137, 174], [5, 40], [8, 41], [58, 95], [40, 77], [42, 84], [75, 113], [138, 170], [18, 58], [126, 169]]; loss = 0.029686 low_pass_filter = 0.300
+Epoch 0: | | 12029/? [1:55:04<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 12030; scene = ['ee97af25dc219018', '83f01c4310f19278', 'e852d57c6de796cc', 'd585e74d7e2b840f', '525bdd8b89129054', '5d707a2d57727069', '35ce3025267c7ba7', 'ea79dc836a78061d', 'e6fb9efae0406aca', '177e31b9d7d375e8', '27ec00bdc19a15e1', '29015f8505119460', '11e172e433f7e055', 'a3dcd56be6efe531', 'f4a60efb78719207', '12945d32f3aa263a']; context = [[204, 244], [40, 81], [25, 57], [1, 34], [35, 76], [42, 75], [141, 172], [51, 89], [7, 47], [13, 47], [44, 78], [38, 69], [47, 83], [23, 54], [178, 217], [14, 58]]; loss = 0.028305 low_pass_filter = 0.300
+Epoch 0: | | 12039/? [1:55:10<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 12040; scene = ['4174e812c0474d77', '169b3450c206409c', '31d30fddbd27c955', 'aee46149e705448c', 'c747a1c3ba8448e8', '3bcfb2de955143c2', '95d8fdbde6d3bc0e', 'f708a1924342daa2', 'ff9c615f0b79a62e', 'bf42ddb0b05a042b', 'a4be14ed97b5545d', '2c1209afd2fa704a', '8aa808a0b8f615e0', 'e5bfd08a1401f48a', '9131db90d0d6a335', '8f00ee0979b9f3eb']; context = [[117, 155], [1, 37], [28, 59], [38, 83], [86, 131], [0, 31], [89, 122], [193, 227], [20, 52], [4, 42], [78, 111], [6, 48], [30, 69], [76, 118], [150, 189], [5, 49]]; loss = 0.026705 low_pass_filter = 0.300
+Epoch 0: | | 12049/? [1:55:15<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 12050; scene = ['8aad33b23262e8f3', 'f12a998cedc553f9', 'bc72d42a14994709', 'aa0286372034e338', '33adc68fe41da745', 'b88db7960be465ab', 'ea34fe29b32d99f1', 'c301d66da36ab4f6', '9c248f0c3e94154d', 'c21a7d55e154f542', '944da8caf16bf01d', '592c1eea73fa43a2', 'ba94402402fc0c58', '9928ce087f146444', '359af2b0f4c26712', '2dfd824c1516f925']; context = [[9, 53], [7, 38], [126, 159], [24, 67], [89, 125], [150, 187], [35, 79], [50, 87], [131, 163], [88, 125], [19, 51], [26, 57], [119, 162], [135, 178], [31, 64], [60, 97]]; loss = 0.027946 low_pass_filter = 0.300
+Epoch 0: | | 12059/? [1:55:21<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.000train step 12060; scene = ['d5415ea8c79b23bc', 'e2970558f4892f7a', '01e5207480d75225', '816112a90ba0035b', 'd0c0d5fc515e76ae', '471a35c1cd5a8179', '2d65c93575c6a883', '0aa601b42a2b5dd0', '5e39a2c628afc961', 'd11585d9e4853dc5', '3c1643ec85fa8447', '4a19cedd1223cf8d', 'c17870a4700adfe8', '72d827d8b9fb16d7', 'f4ba1460268eac35', 'bbfe24412b6a31d1']; context = [[15, 53], [105, 149], [7, 41], [21, 60], [56, 89], [36, 76], [29, 72], [161, 196], [20, 54], [2, 44], [18, 53], [94, 136], [0, 32], [25, 61], [3, 46], [38, 81]]; loss = 0.029340 low_pass_filter = 0.300
+Epoch 0: | | 12069/? [1:55:26<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 12070; scene = ['18f1bc96d6891bb7', '8a7edd543d8e8b8e', '45fd83f6c3984135', 'd256c361e38b972a', '4d872dbf6131857e', '6276ebdd8da3e8e8', '4a39078eced3e6dd', 'd2e5a24f7ee050cd', '773b92dc2ad6a167', 'e937b0dc0d4087c7', 'eae04af75fd19e9a', '299914f7e1db8f77', 'a334140a11754b94', '5ebad017de4dab58', '23d4288655d34ba2', '6dbb0a5f48f2652b']; context = [[116, 154], [11, 42], [53, 92], [49, 84], [97, 129], [34, 72], [10, 46], [43, 79], [40, 72], [50, 85], [14, 52], [54, 86], [64, 104], [3, 48], [29, 65], [9, 50]]; loss = 0.025598 low_pass_filter = 0.300
+Epoch 0: | | 12079/? [1:55:32<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000train step 12080; scene = ['021fe1a2ec9ab0c3', 'd160f5db0709ac47', '33e3195b131be3db', '9b1ceb9438c33ab8', '7005e1c300bf8b2a', 'b5b4cd966ac738ab', 'a4f2de45c55864d7', 'a0db5e62f8c4f6e7', '3b5ecc7fa7f0597c', '3ca571cdaf0080ee', '22c651e15b5d5339', 'cd80c587743d9836', '8c662a617235e175', '42c32233f309708c', '808d34c910e9f8ff', '3888df11c21d4db5']; context = [[64, 106], [53, 84], [0, 44], [31, 69], [27, 64], [20, 65], [29, 64], [81, 124], [11, 47], [0, 31], [7, 49], [29, 69], [54, 99], [60, 103], [208, 244], [26, 58]]; loss = 0.028223 low_pass_filter = 0.300
+Epoch 0: | | 12089/? [1:55:38<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 12090; scene = ['5c5681473a27d80f', '841c18be069dee4a', '6624146c64b95cb8', '3eceb0c08c08242b', '58a5dc4980d05a6c', 'c2b40188e989bab0', '3b6586c3b5c64f35', 'cc704ce1c3a4c350', 'bfecac3e3bfe37c3', 'bb31564840f2db2f', '09f812fa28cf509e', 'ef033bb52be535d7', '66b806c42bf3c0d5', 'ea6934fc7d7b6a08', '962bf8736f57fe5e', '7d8396be45845c71']; context = [[35, 67], [46, 90], [4, 47], [35, 78], [13, 48], [1, 43], [107, 152], [0, 31], [33, 70], [42, 81], [23, 68], [35, 74], [55, 96], [20, 51], [23, 55], [5, 45]]; loss = 0.026133 low_pass_filter = 0.300
+Epoch 0: | | 12099/? [1:55:43<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 12100; scene = ['861453c483faf282', 'b4c2e12ad3d75efd', '55f2830fc736529d', '02819374b5398ef1', '9005d1006b63b2ab', '0a1aa875aca3711d', '4f3f1aac944bce8f', 'aa416065dac5210f', 'c7fa7cba2aa2da8e', '830e472fdd20b6df', '3ae3d6916e0d963d', 'ded38d3ae876e8dc', 'f8f9eaec8ab860f7', '8868de3626699c63', 'bcffeca308e9651c', 'b54392dde102f10f']; context = [[60, 99], [28, 66], [13, 52], [57, 95], [110, 141], [6, 41], [21, 54], [2, 44], [18, 50], [18, 55], [69, 101], [2, 37], [101, 138], [9, 51], [10, 49], [152, 197]]; loss = 0.029909 low_pass_filter = 0.300
+Epoch 0: | | 12109/? [1:55:49<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 12110; scene = ['abdfc86976ee11de', '673ba323f6aaefc5', '3ec2c40d95abf1e1', 'f6d782005dc5b70f', '95ff7df105ade4ce', 'c76aa64f7f4f0967', '06fed398baf81309', '18a4502aa1a59ed5', '04079c76c9372181', '4db2b26aa4c4277a', '61c58398a28dd9d5', '69fe97eaa5511f9b', '13de5b48f1fd60e3', 'b5d76d0407dd07a7', '2b151a54e0287ce1', 'ab28dcbaaddc294c']; context = [[4, 49], [79, 114], [10, 54], [28, 68], [22, 67], [32, 71], [41, 84], [11, 46], [94, 135], [3, 34], [7, 52], [1, 42], [8, 41], [24, 59], [184, 228], [62, 100]]; loss = 0.023035 low_pass_filter = 0.300
+Epoch 0: | | 12119/? [1:55:55<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 12120; scene = ['65c475803b9b5228', '21dd673017056093', 'f2f21e00e8036928', 'cd6bcd4d2762a4d9', '5d021215098f312b', '42c0257c36a9e803', '0914ab351ada6998', 'a157e3e707b308a8', 'ba8683c7d9392cae', '5e4b0194308cb338', 'e63271fb76683a3f', 'f3368db80c3bd8d2', '881d748f1bf21e60', 'f939a717c8f8cccc', '6e91cba4f0112d93', '503eaacf1899363e']; context = [[49, 81], [108, 152], [21, 53], [24, 67], [39, 76], [3, 46], [13, 50], [8, 43], [130, 164], [19, 50], [1, 38], [40, 72], [6, 43], [79, 118], [8, 46], [11, 46]]; loss = 0.031788 low_pass_filter = 0.300
+Epoch 0: | | 12129/? [1:56:00<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 12130; scene = ['245ccba767bcd121', 'a0a44d5b7e2cb825', '58b43b9b210b78b8', '574c2bc38e3ccb2b', 'a03de7474bf84fda', '02c5189e78da36be', 'eb0aa1a4fb58c50c', '345bdca253923f8b', 'a402c1c32a7ab68d', '441bf0c53d996311', 'cb2506c57773a6bd', '0de7140122fb7783', 'ae40dcef53dd49b6', '588c3458ad208d98', '82a604d37bb914c3', 'a1706e8f70f3de49']; context = [[9, 52], [23, 64], [34, 77], [131, 165], [37, 70], [45, 84], [69, 110], [40, 77], [7, 45], [17, 60], [81, 118], [27, 70], [0, 34], [118, 156], [60, 103], [4, 39]]; loss = 0.030252 low_pass_filter = 0.300
+Epoch 0: | | 12139/? [1:56:06<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 12140; scene = ['61944f66d6b0c7b6', 'c90f01f360645e27', '2cf9926a578c2784', 'ca2e6a9878ee4e4e', '071317a7a935d94b', '264bb76b06bac802', 'be920b88d4014762', 'e1a229bb4540eeb0', '0487496db87013ec', 'd187bead2c4cc455', '51d0ae0aebbd9af1', '1eba1805fa0eba9b', 'fdd0f62113d4f4ad', 'fce1137a35c75426', '381fe9c18a25d741', 'a0481c0069aac78e']; context = [[141, 180], [18, 63], [69, 102], [21, 63], [93, 131], [152, 185], [7, 50], [44, 84], [37, 68], [10, 41], [3, 35], [8, 39], [3, 41], [57, 94], [63, 103], [24, 58]]; loss = 0.029383 low_pass_filter = 0.300
+Epoch 0: | | 12149/? [1:56:11<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 12150; scene = ['56341c49ed4564be', 'be3bf9362857bffe', '605455dc5f1561a3', 'e814b7a50ef25565', '40db90425440c8f1', 'e0b1a3eea9f72817', 'c7382b0e60e415db', '807743b71b28c82d', 'bae81f88d95d39cc', 'fa7f56093254350e', 'dc7df91fbccf6e65', '60bfa053d499254f', 'e364559c1d25e09d', 'dfdb88c1a5ca0d75', '06fc18da65b07b30', '421498827f9e9e3c']; context = [[9, 49], [6, 42], [13, 50], [66, 101], [48, 87], [0, 32], [40, 83], [21, 53], [45, 91], [46, 90], [12, 47], [3, 47], [100, 143], [53, 90], [163, 202], [215, 257]]; loss = 0.027501 low_pass_filter = 0.300
+Epoch 0: | | 12159/? [1:56:17<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 12160; scene = ['b5d76d0407dd07a7', '9fa4b561fd7a9ac5', 'da30333428475044', '3cc327cb76fcf569', '193772f5af285408', '15643ffa40271cc5', '8392047c3a89030d', 'a41623bb417cf753', '555b156680c99feb', 'fb38700b0e32e00b', '3be83d55d7047555', '4fc41d9b64125da5', 'c0840d6b5e661a06', 'fad5e0b62e2676e2', '43925e6d705283fa', '845470a7c2434585']; context = [[158, 193], [40, 84], [33, 78], [115, 153], [2, 44], [0, 37], [129, 171], [14, 57], [1, 47], [47, 83], [38, 74], [2, 47], [60, 105], [43, 88], [4, 47], [57, 92]]; loss = 0.023414 low_pass_filter = 0.300
+Epoch 0: | | 12169/? [1:56:23<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 12170; scene = ['e9eecd2f4af1e41a', '245007bd10b2a438', '812e006c97d55f65', 'e0540e2d6160e242', 'cf93d34812c5075f', '93739f7c17797663', '8dbd26a529a8e1fe', 'b2a5bee383cc062d', '24b36b96c868b758', '36c57314d0fdc684', '58658f7de57fcdf8', '405e320c34ff7f81', 'eb1379bef32aa39b', 'ded696beba889e75', 'aa49c506f067e54d', 'e9b590c6993bcf66']; context = [[170, 203], [2, 40], [32, 73], [18, 64], [16, 53], [29, 69], [133, 179], [27, 67], [52, 94], [5, 41], [87, 124], [96, 127], [3, 46], [65, 100], [6, 41], [31, 65]]; loss = 0.025202 low_pass_filter = 0.300
+Epoch 0: | | 12179/? [1:56:28<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 12180; scene = ['ab470fa60eee8a36', '787b457d2249bdb8', '0141bc3a8179f6f2', '8d5bf196c1679c4a', '52e0505aa4e8c184', '5ee41f28a5de1206', '268be072c1afe4d6', '0afb709aed993f16', 'ca5b908968b3a4f8', '37520e6d05f6eeef', '5b1b31d1fc116fe6', 'c9a6b935d87b9097', '34b6d4c349fcb32f', 'a8af0ccce433b454', 'b78af2ced9e7b146', 'ba030a8c03a7eaff']; context = [[45, 80], [118, 151], [150, 193], [40, 82], [3, 45], [90, 126], [19, 54], [27, 72], [20, 54], [30, 64], [96, 128], [17, 50], [0, 42], [107, 150], [68, 111], [25, 58]]; loss = 0.025510 low_pass_filter = 0.300
+Epoch 0: | | 12189/? [1:56:34<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 12190; scene = ['16a4c73f7dfab404', '693e16057340bac9', '376891e5c574f2fd', '04c274ee7ff5faa4', '0d4ded80a6003029', 'd27fbd9800432849', '5a2d7bd1aaaa9979', 'b6e0a7217135f0ec', '39c680d0e2deb371', '72b9601d75933b02', '1e5d356b6e52ad00', '5ae40a0fbf6095d6', 'fa6335a92d7faa48', '2f954072e9834dc2', '821c671b230a1ed7', '20467fe97121072c']; context = [[17, 61], [9, 42], [24, 66], [5, 48], [8, 45], [54, 91], [0, 33], [18, 50], [2, 46], [67, 110], [147, 186], [10, 41], [80, 121], [9, 55], [96, 138], [74, 119]]; loss = 0.028559 low_pass_filter = 0.300
+Epoch 0: | | 12199/? [1:56:40<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 12200; scene = ['022c8b3bf09953d5', 'bf06a2187ba5ee89', '175a499efb67c13c', '4671540a86c8b051', '1bbbca2236ee4230', 'f91bb3b27b67a83a', 'fb0b73b80cf8c027', 'adaae18b87cb04ce', '16af37ee77aeaae7', 'a313b7aa3720f375', '58388d76b62c5fa1', '81e453158009b57c', '4cc6fa6dc966f1bc', '4352f5ecbeaf4b69', '3e6c9c32abee2205', 'dc11fe3737ec6ce9']; context = [[22, 62], [0, 37], [8, 50], [35, 80], [52, 93], [30, 64], [4, 35], [77, 120], [9, 40], [3, 41], [30, 61], [29, 69], [23, 62], [42, 80], [6, 41], [14, 47]]; loss = 0.027136 low_pass_filter = 0.300
+Epoch 0: | | 12209/? [1:56:45<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 12210; scene = ['57ae59b355e37b50', '216872700536bc0a', 'de6ad905da091ab0', '6e53d59a04d16cd8', '4b95a6a4485a9684', '9d8ca21d7984f76b', 'd0f4f1c4157d67aa', '1ca420ea134b5748', 'fe1b92932a2eb481', 'd34e6f770d5be502', 'c9073667ec83abcb', '08683965a087e86a', 'd51a5f3f6dd9f3df', '93ce775b91288252', 'c57f01070bc2b9ab', '957356aca370c325']; context = [[68, 106], [61, 92], [53, 95], [6, 52], [88, 121], [4, 50], [30, 71], [135, 171], [26, 69], [38, 75], [1, 40], [46, 89], [133, 175], [20, 59], [25, 56], [42, 88]]; loss = 0.025848 low_pass_filter = 0.300
+Epoch 0: | | 12219/? [1:56:51<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 12220; scene = ['e559f1da60a5eb79', 'f71fef223090099d', '01f9c3192976f699', '63acaadeb84a31af', '6c5e37d3a0fe6230', '26982d1d02e9afff', 'aa1601b3c7e10e3e', 'afe08596b2895950', '951d3d3360153a68', '0f6f85f900c47557', '8ed5a86dea1245cf', '88f7bc47eab8af52', '622a0d2554fc5402', 'be4f1d3a9081ec93', '4fc52f6aeecd8f82', '969eae779f4745e5']; context = [[41, 75], [18, 64], [4, 45], [27, 69], [45, 84], [11, 45], [7, 41], [70, 108], [239, 270], [19, 55], [73, 118], [4, 41], [2, 34], [79, 115], [15, 58], [2, 38]]; loss = 0.025608 low_pass_filter = 0.300
+Epoch 0: | | 12229/? [1:56:56<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 12230; scene = ['957517b6ed4d0048', '0ed741df4437c6ba', 'a9b437c1a771c642', 'caa51283afc66cae', 'c426c3939899ee95', '1589ff1d9713b5f7', '4b748cea2f19798f', 'f3abbd7d96fbafb4', 'ba95ef7c31f58c5e', '37f5f4362e72fcbd', 'fd43a0837dfe0b50', 'c0e8b7d8718425ec', '5ee8cdeea1ad04d2', 'b5409662410d388b', '0168b5af321a8231', '4333b743c3df5779']; context = [[89, 121], [4, 50], [5, 40], [0, 36], [5, 41], [3, 34], [171, 208], [20, 56], [4, 46], [116, 153], [95, 134], [180, 225], [0, 35], [118, 159], [0, 36], [78, 115]]; loss = 0.028229 low_pass_filter = 0.300
+Epoch 0: | | 12239/? [1:57:02<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 12240; scene = ['9b51df4f8fb857dd', '09dd31eb20405b2a', '8b9f8b93b5c8b635', 'ea74cb4771949789', 'cc48d6225f69d9a2', 'ae46c18afc8ab55f', '2a8b384c5d8cec5b', '1c9964c74955e91f', '83b8d48dd4198ada', '13b32cb917dc8b6e', '3cdd1f0cb282e9cd', '57d70928e32ad9a8', 'e85527fb695d1720', '8bbb0d80a799d7e7', '9a998c8153192ddc', '04efda28f99826d2']; context = [[175, 206], [47, 90], [137, 169], [12, 48], [45, 90], [38, 71], [0, 32], [84, 115], [18, 60], [11, 45], [28, 69], [6, 43], [8, 44], [0, 35], [147, 179], [10, 43]]; loss = 0.025514 low_pass_filter = 0.300
+Epoch 0: | | 12249/? [1:57:08<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 12250; scene = ['db82f36b5dbc0f0f', 'cdd44aaa218af50f', '4f1637bea9f78862', 'f45f2ed11aa8a46b', '3304890162555f84', 'add32babab3b0aa0', '60a93ae5bb06a238', 'b4622e3dc1200f6e', '5244830b7357365b', 'f8a2ddd918dcecee', 'b0c87a960cc0e142', 'a682d3630b102f34', 'a54873f89d266195', 'aa5dd9c4063f6e6c', '7cd91d0323b7067a', '8cf8eefab5a62f0d']; context = [[12, 49], [240, 275], [29, 63], [16, 59], [54, 96], [69, 115], [115, 161], [52, 85], [39, 70], [13, 54], [6, 42], [1, 32], [25, 68], [71, 111], [87, 132], [3, 40]]; loss = 0.023367 low_pass_filter = 0.300
+Epoch 0: | | 12259/? [1:57:13<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 12260; scene = ['3820e4354377e7da', 'c2e4a08593109a16', '48a9f2119ae79662', '7f5aa79ec2e823ad', 'bb2c45db780e6053', 'aff1a276b88f95c0', 'ae37850519b233ac', '81f0e23b267f977f', 'bde0ae0a61223088', '3a6f95f123a6734d', '623a5216fb75cc8a', '457542e5ba786e75', 'd96254454478fdfb', '590d6f715d8edd9d', '4a3aefcc8d1bf303', '79d69af91cf6b1a7']; context = [[13, 57], [28, 71], [145, 176], [24, 57], [107, 143], [16, 54], [4, 37], [1, 40], [48, 83], [163, 209], [86, 123], [116, 155], [11, 45], [163, 209], [15, 51], [88, 129]]; loss = 0.024707 low_pass_filter = 0.300
+Epoch 0: | | 12269/? [1:57:19<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 12270; scene = ['dad7f161c0dd33f1', '4c32e3724deb6127', '5e90db1128b66eec', '5ea531d28c04b4f5', 'fb9e93054db6ebbc', '4e2fbc828c9fe2bc', 'c0a19ec78a7ad15b', 'e59c541c3c0cc68c', '1d6ed861c30a6c05', '8f7ee093c756747f', 'abfb3e8af35aef41', '3e0497b3be34d492', 'c9ae81970b7075f0', '38d17287a2d1b35e', '17182e5c481e14f1', 'fbc40b507a2ef712']; context = [[3, 41], [14, 55], [0, 35], [3, 38], [39, 74], [5, 46], [22, 53], [191, 230], [21, 58], [3, 36], [2, 40], [18, 61], [87, 130], [119, 152], [4, 44], [11, 43]]; loss = 0.031211 low_pass_filter = 0.300
+Epoch 0: | | 12279/? [1:57:24<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 12280; scene = ['e08993b4d6d78756', '5d1f56db44a99943', '6936190f2338e455', 'c1d130d5d25415ba', '884301dded89f439', 'ce4c27e415863b8a', '323f5e3ce1a6262f', '6281f1e8ec9ca792', 'ffb34ef6c0333c37', '6d4ae1b207f911c0', '4305d5a5fab3efa5', '8ae37caf70acdf7d', 'eb1785431a9d20c6', '6b5033800250e9d7', '4d53551d81b226fc', '3d313d32ec13ddd6']; context = [[25, 60], [17, 55], [20, 60], [19, 60], [16, 54], [22, 60], [32, 66], [110, 144], [104, 145], [0, 36], [25, 64], [73, 113], [118, 153], [55, 86], [6, 49], [106, 144]]; loss = 0.026218 low_pass_filter = 0.300
+Epoch 0: | | 12289/? [1:57:30<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 12290; scene = ['3a7b5cc29e973477', '92f5676ecb7efbec', '87646f792c7916f6', '045d3de4ee0195d6', '0f814dee0106dece', '61fb19d88faf3727', 'fda1c7094e4c7aea', '729019c3de92b636', 'c68d506f2216c013', '2ad77eb190b91f41', '16f26ba6523bc187', 'f155a73f9c735fc0', 'c6fc108f22c25d06', 'bfcbf333b49f18c6', '57ef0c24d90eb0ad', '5c6cc840651fd034']; context = [[8, 49], [31, 70], [83, 115], [77, 110], [33, 72], [11, 52], [32, 68], [0, 31], [0, 31], [23, 62], [107, 143], [3, 48], [33, 64], [51, 82], [47, 84], [17, 53]]; loss = 0.029636 low_pass_filter = 0.300
+Epoch 0: | | 12299/? [1:57:36<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 12300; scene = ['9783eab48a41e20f', 'c6a0f60507c5b23e', '0798c66d382f3f33', 'd4294f7d5b241d04', '117eb07d6c928f92', '2f95a104b58aef0c', 'e8c358caad0e0900', '3f79f389b6ba0ad8', '65941d6210e92cfc', '6311f7f59a5b58bd', '97ca51807dd1ccdb', 'ac0228d32b55dac7', 'e13b53ae31b9e4cf', '4623f80cdc298015', 'd8166d21d1ae6010', '74e5c65d8941abf4']; context = [[13, 58], [7, 46], [153, 185], [21, 60], [49, 83], [77, 109], [161, 201], [18, 53], [2, 45], [39, 80], [93, 137], [202, 239], [3, 41], [38, 72], [206, 242], [42, 80]]; loss = 0.029419 low_pass_filter = 0.300
+Epoch 0: | | 12309/? [1:57:41<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 12310; scene = ['93b6278cf013b714', '82f678db97e94615', 'bcca779045d62e67', 'ab4c74b2751a2306', '0f3a74f2d2eeb583', '504f84dcd4f6fd4c', '56a9d7a35cdf2274', '85ca66628c3b583c', '917ab9849d0d6a8d', '9741cf7012a04c9b', 'aceec8149ba6e75c', '551fb8535c0aa256', '5ab8bfe8240ec91e', '1613fefaad02972b', '015ca2f115af3dde', '074a7dad1894db3c']; context = [[5, 42], [27, 60], [14, 52], [18, 51], [0, 33], [243, 275], [6, 43], [8, 40], [34, 69], [5, 48], [41, 82], [46, 84], [23, 69], [3, 41], [18, 63], [7, 43]]; loss = 0.031641 low_pass_filter = 0.300
+Epoch 0: | | 12319/? [1:57:47<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 12320; scene = ['36dbde23c0348a09', 'cbf194450f89fa83', 'feb6e94b05604c83', '9069736f3a949982', '6c79da3430b785f6', '2cf0d1a531e44b1b', 'f058d22a591faacd', '2863d376a1a92afa', 'c6479f7e813d588a', 'b6ec852cd239b4e3', '85ec32cc6513863c', 'a05911b9e6186029', '02563ef6e6768ce0', 'e6373ecb22d1f5e6', '2b5208807d171c9e', 'bb99c11f78349cf5']; context = [[3, 42], [14, 59], [3, 40], [23, 68], [59, 93], [24, 55], [67, 109], [115, 161], [85, 128], [63, 94], [23, 65], [35, 75], [34, 80], [202, 237], [67, 107], [8, 47]]; loss = 0.025049 low_pass_filter = 0.300
+Epoch 0: | | 12329/? [1:57:53<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 12330; scene = ['fa42604243a1cf5c', '7b78a2113b0b67e0', '9a902960aaa032fd', '54c0968cdfab4471', 'bedba1846d7b3f88', '791c6386a4340932', '9adb29df30906ff4', '99842c7b205bdf8d', '9007b3ae76d7a762', '2ef7b8e6a0602913', '69dd3eb18ff7a838', '74224d25c8e85b39', 'ace591a332a2780c', 'bf37156b4d92c7f2', '6ef51b06550c0d9a', '4cd18aa0eddf1c14']; context = [[46, 90], [142, 184], [152, 189], [0, 46], [8, 53], [28, 69], [92, 132], [83, 126], [182, 218], [56, 99], [21, 66], [177, 219], [131, 173], [131, 166], [60, 96], [1, 46]]; loss = 0.030379 low_pass_filter = 0.300
+Epoch 0: | | 12339/? [1:57:58<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 12340; scene = ['fd1fe9c1db9269d8', '5f84ce15c4658c52', 'd28b9fcb544a45e7', '825f5fc21ea780cf', '2317fbb490ffe046', '43c4db038bb72004', '55433af3386415b9', '4c1dd38ae1e23da3', '3bf978b258b8305f', '2e887f0103cfe378', '46a475daa238ceaf', 'e003c7d69b73e632', '0dee4934bd1e8cb5', 'c54fe1ba08b7ab80', '8eeeb4da9f352048', '033c76a9906e82b7']; context = [[13, 55], [2, 44], [151, 195], [47, 78], [11, 47], [36, 71], [20, 62], [60, 91], [44, 84], [0, 37], [196, 231], [38, 77], [137, 171], [2, 40], [31, 68], [28, 74]]; loss = 0.025149 low_pass_filter = 0.300
+Epoch 0: | | 12349/? [1:58:04<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 12350; scene = ['5a0e85192b67242c', '96bb4b2a55b7ec43', 'b7d68e905f60be33', '6d21f697d6dab0f2', '128f032a71ccfd3f', '582e062f22316429', 'fa604b72bc666444', '2f86649cfbb24a7f', '449ac2d18080fc7b', '02f2e11cd0db1a46', 'effef8b0f00cb66a', '380bc7bb1ed99bd8', '8e026ade60f13e40', 'c1e8947897534f8e', '885bb71067dd494a', '9dfcd20a3d14d93a']; context = [[196, 234], [17, 56], [100, 133], [102, 137], [132, 170], [68, 111], [4, 48], [1, 36], [2, 40], [21, 56], [56, 98], [2, 44], [200, 231], [73, 110], [100, 143], [27, 64]]; loss = 0.024560 low_pass_filter = 0.300
+Epoch 0: | | 12359/? [1:58:09<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 12360; scene = ['07a772c686e705ad', '35ba4db99f6f3fe9', '7769fafcf6736c1e', '593f6ea531f61ac6', '0e5769089b6efd0b', '2f6cd0a735a85feb', '62755beb1ebd7813', '8a3e41e66e798f50', '83f69d126eb1528d', '4526168c5b011f4a', 'b9e1ba841aea9863', '1916b24e81c1a30d', 'd1f43e65f28ce3c8', '2e8f22d6e88e516f', 'e4169ebd4ebb1035', 'd1c829d1f1825d24']; context = [[35, 77], [19, 60], [29, 71], [31, 62], [111, 145], [195, 231], [138, 181], [29, 60], [77, 112], [124, 170], [49, 95], [84, 116], [35, 72], [10, 53], [26, 63], [58, 101]]; loss = 0.025069 low_pass_filter = 0.300
+Epoch 0: | | 12369/? [1:58:15<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 12370; scene = ['0f5daf32c2e8fefd', '63b86eebfc578b0c', '97eab841f52c3532', '6710ea30efb5b47d', '5c9877200c432073', '20b791440b7ec0b5', '38230d876c82d737', '92e9963c8f525044', 'ee3f7a4049756e71', '2797e017181ff08f', '0892e891d15c59f6', 'b2efd0eca9cf3f32', '2b4a7ae6b2e50c04', '8bfe6a942a41fe06', 'bdae62678f43c878', '57066a6735fdeba7']; context = [[53, 87], [1, 32], [19, 65], [141, 173], [64, 95], [56, 97], [32, 71], [73, 106], [4, 47], [77, 117], [9, 52], [72, 103], [26, 70], [12, 55], [88, 132], [6, 37]]; loss = 0.026849 low_pass_filter = 0.300
+Epoch 0: | | 12379/? [1:58:21<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 12380; scene = ['385c572550651012', '834d220fc4260494', '584e691ee4eef874', 'c5aacb81add61aae', 'f3196b07005cd061', '0d446eef93166bf1', '80a47bfe71ee3d1c', 'a9e5b84dc92dbed4', '43a550bebb5926c6', '7ab2cfee66bf9137', '68460a404c41e6a0', '3a3f2d54e7cb4295', '275951165e734726', '250f426a7b3e59ec', '69e7cba7beb30840', 'a973128515c7a96b']; context = [[122, 164], [23, 61], [75, 115], [36, 71], [72, 108], [83, 118], [169, 213], [33, 65], [107, 139], [104, 142], [0, 41], [3, 37], [36, 75], [77, 110], [14, 45], [85, 125]]; loss = 0.028002 low_pass_filter = 0.300
+Epoch 0: | | 12389/? [1:58:26<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 12390; scene = ['85d56f7594f38108', 'c3109e5125260fac', 'aa23091c2d2a3b74', 'a8e5514d51acd87b', 'd1179c6e15ac4f2c', '17a4b7038c693c4e', 'b8a4200aec3217ed', '5bc40ef96dc75353', '38e757b8f58a6da2', '09beb5e04006f09b', '66af0e2f2e7d0963', '9c114fd30bc5d40d', 'ff3ecf2ec76ace60', 'e705947a8dc11e1f', '050248d92269fdd0', 'e7cfbaa323e6a40e']; context = [[10, 41], [21, 54], [35, 72], [9, 41], [118, 150], [58, 90], [20, 53], [85, 122], [45, 76], [55, 100], [25, 70], [66, 105], [76, 109], [31, 75], [79, 120], [42, 80]]; loss = 0.028916 low_pass_filter = 0.300
+Epoch 0: | | 12399/? [1:58:32<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000train step 12400; scene = ['4a2a4c9c9a87b294', '7e68dab980a361f0', '7f1ad8c58d9394ed', 'c5801600fc13d190', 'ffd7597794206019', '429745bd886be62f', 'e01adc15e6595c94', '86828c02880259cf', '40ef3793c2b79de4', '908c948fb8cac025', '849c18ebf57067f6', 'ad645ff924caedf4', '97098e465590c791', 'be035212259df653', 'd863a335604c5a1e', '865cf762c4d42b9e']; context = [[7, 42], [192, 223], [4, 40], [62, 106], [20, 58], [4, 41], [23, 62], [16, 57], [33, 73], [23, 69], [23, 56], [49, 87], [15, 50], [228, 271], [35, 67], [16, 58]]; loss = 0.027095 low_pass_filter = 0.300
+Epoch 0: | | 12409/? [1:58:37<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 12410; scene = ['8152c1ea1416ea09', '787699fbb0b12b94', 'c3dfaa4a31bdb084', '79a4eb8c12e5e4b2', 'cb9c1a381589dcf0', '4265bc29121b026f', '45b2c72ea9bee10c', '3a36edf2be866e34', '96165ef749af6682', '65c7fa472b86e7f9', 'c7729ec50d323a67', '274a4e4a258897dc', '9890a01b883b8cbe', '83559529fc525a03', '0c178168a07f84a9', '6c52c204d0fe9f7f']; context = [[87, 118], [102, 144], [67, 103], [8, 39], [2, 35], [29, 61], [33, 67], [94, 137], [35, 78], [46, 83], [0, 31], [2, 40], [17, 50], [38, 69], [32, 77], [73, 107]]; loss = 0.024816 low_pass_filter = 0.300
+Epoch 0: | | 12419/? [1:58:43<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 12420; scene = ['9ee134a1e5088732', '16e23d8cd26eda21', 'fe995c70c1839ab6', '59ac4117e2b4b066', 'e27944e20f739de1', 'f099df2efe3e4994', '2403dfbc8cb4d693', 'e8dedfa84d3d44df', '2362cb1176998093', '49905e5c42e7463b', 'e7ed20f72e550232', '4217a1276000f915', 'e49ae09c86374272', '48f39fdb36aced7c', '58275afa53d48646', '8d43a7230b10a6de']; context = [[3, 49], [137, 169], [2, 41], [23, 55], [8, 53], [23, 66], [11, 48], [30, 70], [23, 68], [157, 195], [49, 93], [74, 120], [101, 147], [53, 93], [98, 137], [13, 56]]; loss = 0.033357 low_pass_filter = 0.300
+Epoch 0: | | 12429/? [1:58:48<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 12430; scene = ['858e46647610ba9a', 'f6be586b3b35382f', '5e66f54d9b99573b', '714d84e0be7d7dfb', 'c1c0bf21704f2537', 'f8490421029f85c1', '7e590944b3d09a44', '3576553305e59d4c', '88481fd4383f352a', 'd5dc2774d58f65f7', '803ea65010dea476', '28dab8d387301174', '0aaea04bf3c7203f', '4a71fd74c97d81a9', '829ff23a442a9bf4', '299e39e4c15762a6']; context = [[221, 255], [20, 64], [127, 164], [216, 259], [26, 69], [48, 85], [77, 111], [47, 86], [118, 157], [8, 49], [152, 186], [44, 84], [1, 33], [2, 39], [30, 71], [33, 79]]; loss = 0.025776 low_pass_filter = 0.300
+Epoch 0: | | 12439/? [1:58:54<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 12440; scene = ['2446146231432a25', 'a6330742e17c9782', '1c2612c4c39dcc5e', 'bc46ba30e93734d1', '9974ef630b3b0063', '9dafc61a5619845c', '1acf1fda04e66de3', 'fcf802fad585ff72', 'f892051838c9ee27', '6fa4c2007a0bf94f', 'c0198b22b5015afd', '7a92ae8d981688f4', 'cfe012ee13f32184', '81d88afd2654664f', 'f028e6658136e9ba', 'c4217c1a6b2d6381']; context = [[19, 54], [0, 35], [8, 46], [36, 80], [12, 53], [34, 67], [38, 75], [11, 55], [95, 134], [80, 117], [43, 74], [14, 54], [38, 77], [6, 37], [57, 97], [11, 45]]; loss = 0.028432 low_pass_filter = 0.300
+Epoch 0: | | 12449/? [1:59:00<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 12450; scene = ['2699f0ed92bcea23', '96fa083c727e8576', '3a61e0db35b8ed91', '69c2f1a3cfed4721', 'b3c6e6ce7774cac2', '3f0986b0997526ec', '80969826ab058f74', '8a116b2e6b29679b', 'a34309c2982d3cb5', '3a6d6f368b8950a7', '301dccb36062e576', '1986824dfd771829', '1bdf02f43d00e631', '996350f54cc39508', 'f17255c463f8820b', '760f7cdb1b176614']; context = [[128, 166], [94, 133], [21, 66], [97, 136], [136, 178], [22, 53], [1, 33], [69, 104], [84, 117], [95, 141], [0, 33], [16, 50], [99, 132], [111, 146], [136, 170], [162, 193]]; loss = 0.025430 low_pass_filter = 0.300
+Epoch 0: | | 12459/? [1:59:05<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 12460; scene = ['1ca4244fee70624d', '7143928cae72a35c', 'f7b8f613963a75c2', 'fc4e7c449d69fef9', '6e706933eb70bc76', 'aa49d6d1892aa62d', '38f263a412fc1696', '5c214c6cba1c63f2', '9935a6146886dfe6', '1cdde81ba9489e2b', '3a74cdb34b1b79e1', '0c629299b723a2f1', '6dd9e3b237e3ebf9', '181449e704881318', '4252d5a3cbe7a739', '2f3db5900d69a891']; context = [[169, 215], [56, 98], [97, 143], [147, 188], [3, 41], [41, 84], [144, 175], [79, 119], [37, 83], [80, 116], [64, 108], [64, 110], [31, 75], [22, 53], [41, 84], [26, 62]]; loss = 0.026581 low_pass_filter = 0.300
+Epoch 0: | | 12469/? [1:59:11<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 12470; scene = ['368b3473d60b6385', '7cf2d074de115901', 'be7a580fe9665300', '374de52fd395ae73', '299a59047ff48dbd', 'f6b299e4bb55dcef', '63b7ce1d8f536653', '28940119010f59e9', '78f8f80b5d2326ff', '0bffdf9852d6b17a', 'b56a19d615f09aaf', '0c844f4fc43d10a1', '9b17ad14b3f7ef4a', 'fb2fc136084bf16c', '5d120972a05d6520', 'ed3419371f6b0b6b']; context = [[0, 44], [35, 71], [23, 62], [8, 47], [3, 49], [6, 50], [19, 63], [230, 265], [6, 43], [32, 70], [213, 253], [144, 180], [10, 52], [62, 103], [45, 88], [10, 51]]; loss = 0.025040 low_pass_filter = 0.300
+Epoch 0: | | 12479/? [1:59:16<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 12480; scene = ['ab3ac1ab685dd2fb', '19f18091790cb8b4', '1638d45be05bad08', 'd07f942cbe5dbb23', '060888ad72a59ce7', '2fff3b2844c2f1cb', 'a094ba1980c7d5dc', 'a3510c2a3ecb7271', '16c3333a33394e05', '9bbdf26fda3f7aa6', 'c4b5cf9bba4c5620', '25aaf991662b1392', 'f966f4722ae3dc03', '69d6916a535a24eb', 'fcc2ecb0bc03aca1', '42f96a7975e871c6']; context = [[13, 47], [183, 215], [88, 122], [198, 244], [43, 87], [27, 66], [20, 65], [32, 65], [60, 104], [39, 80], [19, 52], [8, 45], [24, 60], [11, 50], [55, 86], [31, 68]]; loss = 0.028277 low_pass_filter = 0.300
+Epoch 0: | | 12489/? [1:59:22<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 12490; scene = ['41258160de3b9847', '7570e1000b6f66a7', 'e96a40a434e0b83c', '3a7ec402de14a010', '2d9ad09dfbbccc5f', '4cd3e0c8f6a3b954', 'a83f3746a11e572d', 'ba232d0f3f503f0f', '6c86fd352266b6f4', '310afc09b784c10c', '22c80320c49a62a6', 'd19952203c1188e1', 'c7b3620b618be980', '2ba4ac8ad33f2604', 'e465c16e4ba9fcb8', '20c639dc41a7bf7f']; context = [[28, 74], [4, 40], [24, 65], [16, 60], [140, 178], [76, 115], [39, 77], [10, 45], [86, 128], [31, 66], [86, 119], [29, 71], [4, 49], [208, 249], [18, 57], [118, 163]]; loss = 0.023387 low_pass_filter = 0.300
+Epoch 0: | | 12499/? [1:59:28<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 12500; scene = ['b7dc241490a4f034', 'db19833fcf1647a1', '033380b8c9ced0fa', 'b663e4e4e1c815d6', '95908390cfcab857', '3193e8bf21491023', '25c1b05ef5f6e8ce', '0ba3d81197bde2ff', '42df8c69e0daeec6', '25fccb9a0378348c', 'e6d924f92f44c985', 'b86dc6a2be5101ab', 'ebf1a7e113d1cfd2', 'c96388f9522a65b9', 'c39e1b941958e3e9', 'f091f8a44150921f']; context = [[3, 35], [222, 266], [27, 68], [28, 72], [69, 115], [45, 76], [6, 52], [11, 56], [13, 48], [13, 47], [181, 218], [24, 59], [207, 252], [207, 240], [36, 71], [49, 85]]; loss = 0.028947 low_pass_filter = 0.300
+Epoch 0: | | 12509/? [1:59:33<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 12510; scene = ['fb1bb2f9da83193a', '0edeb4cbbb0cfd19', '9f7fb6a4d5bc5b5d', '7c50a3e751ebfa5f', '0b96efcfb3e15497', '1ddf5f649fda04d3', '1234ca6ea49152e5', '17fde8abb55f0198', '7ab1c3111fd438a1', 'b1385fd06de0ceaf', 'dcebb2fdad9ae60b', 'b996b08a423681d8', 'dd8fde8a32d68f55', '1e3909f1376a2c4c', '262e8b8dcef4d739', 'ac168a8c9e0e39fb']; context = [[24, 56], [5, 49], [27, 70], [33, 69], [2, 35], [50, 88], [82, 124], [220, 253], [103, 142], [79, 117], [4, 37], [19, 59], [54, 87], [9, 50], [13, 49], [13, 47]]; loss = 0.030154 low_pass_filter = 0.300
+Epoch 0: | | 12519/? [1:59:39<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 12520; scene = ['c21d33d993095f32', '01d4d24e9f33aa8f', '2ca7a809dda33d8e', '18711838050bef0d', '3ffc4b7822281c60', 'b811e125c84adff1', '2557d505c19c8b3d', 'a41a1bcf7d09b4eb', 'd4896139155e24c5', '5f6b16b0e97a3062', 'e87019343627db3e', '890e703ff66e180a', '5054e805903470cd', 'ed3ec99c97d13679', '006f24f8fa62a3b7', 'ac9475b5f8128e87']; context = [[128, 168], [0, 43], [95, 128], [106, 149], [4, 45], [46, 81], [16, 62], [134, 172], [14, 51], [85, 121], [8, 51], [21, 66], [5, 50], [24, 66], [236, 268], [33, 65]]; loss = 0.026998 low_pass_filter = 0.300
+Epoch 0: | | 12529/? [1:59:44<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 12530; scene = ['5da91cae06b6bf6b', 'dc667e96abd53c22', '239adc7ff39146a6', 'f05c1d092c6ceb18', 'fac41d1437899793', '6aa984b54d1372d2', '15a5cd0f74a514f8', 'c2c1a72d431ffcff', 'c690e67a715dcada', 'c2f01a21c86dfcbc', '0051d3a3ada580af', '0b088d8f468b423b', '9317c49bbcccdc77', 'f8a62db70bf0e0a0', '90b23bbaea5c81da', 'fea7244ac3326db7']; context = [[87, 123], [4, 41], [71, 114], [43, 87], [62, 98], [39, 74], [10, 53], [19, 57], [143, 189], [0, 31], [5, 50], [12, 52], [44, 90], [20, 60], [28, 66], [34, 77]]; loss = 0.023056 low_pass_filter = 0.300
+Epoch 0: | | 12539/? [1:59:50<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 12540; scene = ['d7dd78631748f7aa', 'e1ae6d3a294ddcdc', '13ee40f99ef3fda7', 'de137923eba18ca2', '53c9804b50ad99ab', '8861e06664d052a1', '62953cbca65ec62d', '834947156a227a06', '1f3cc35366700ee4', '9651f5e8192c6ce7', '8fed63c4d0bc7a2c', '58727127092e350f', 'dafe4fbc82947a40', '876a49fd60e9f34a', '025a7502ca9a1e7b', '7e038ad56d73e6bd']; context = [[5, 37], [31, 65], [6, 38], [11, 44], [53, 97], [25, 63], [22, 59], [22, 65], [27, 69], [2, 40], [7, 46], [34, 72], [20, 57], [32, 67], [27, 72], [16, 53]]; loss = 0.023473 low_pass_filter = 0.300
+Epoch 0: | | 12549/? [1:59:56<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 12550; scene = ['24fba0e6aa6af98f', '20045f4782cb52ba', 'f148e790bc04506f', 'cea2a93353c5eba2', '82c9062c870a1757', 'a77d977e67b50fa3', '245bf94a48a16618', 'c7fb40dbdfaf8c41', '25d7392ac5ae9066', '94ad9ac9d5fc25d1', '82d29ba5b39e4324', '93bcbc420d0cdeaa', 'da6552eaffe605cd', '83d103672889a1b3', '2ddb67832c160567', 'f00b015a283a4923']; context = [[90, 135], [216, 255], [16, 51], [35, 71], [2, 46], [6, 42], [44, 78], [20, 53], [23, 68], [33, 67], [0, 36], [44, 76], [12, 43], [67, 112], [45, 91], [11, 46]]; loss = 0.028774 low_pass_filter = 0.300
+Epoch 0: | | 12559/? [2:00:01<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 12560; scene = ['611773875fdb8681', '328f4a1bb0f7419b', '24668195926b0c91', 'cae09ec1d132c91a', '0ba56b76de23eac4', '7922209e3015f2be', '4cca2ad1cde55681', 'c2ca510a4a1617f2', 'e2151e6bf7f90731', '8730a68b24c3678a', '1d0de977f6c454e5', 'da0a55bfc7ac0d7e', '49eb4d69de6420a3', '57374e9e079460f5', 'c4c75b682e0cee7c', 'e78f54d920ccb3b8']; context = [[36, 80], [34, 77], [66, 99], [11, 55], [46, 81], [48, 89], [7, 41], [182, 215], [37, 72], [38, 83], [144, 185], [9, 45], [17, 62], [40, 78], [1, 40], [19, 53]]; loss = 0.026981 low_pass_filter = 0.300
+Epoch 0: | | 12569/? [2:00:07<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 12570; scene = ['721df0f45094ca34', '177375702f643304', '489cdd787b754e4b', '250c146f5c1b625c', '6f3f3a75c4debb17', 'd6fb3fa038e51a8a', 'b42c0990a3e88a89', 'e2f2eda772f76c8f', '9741f78412e103d1', 'de9e29c92b071a2f', 'f978c9db57bb8220', '4cf7075fb4bcc59c', '7fc8197294aef797', 'a3ff31c2107320bd', 'c438132086b87eea', 'd484c8cd2da6c3f0']; context = [[127, 167], [116, 160], [86, 121], [3, 43], [8, 45], [47, 90], [9, 46], [25, 67], [2, 39], [84, 126], [31, 76], [16, 59], [141, 173], [2, 33], [33, 76], [57, 97]]; loss = 0.029982 low_pass_filter = 0.300
+Epoch 0: | | 12579/? [2:00:13<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 12580; scene = ['ab3352b378297865', 'bd92ad43a04f9997', '1f7d98ea73c32c36', 'c9fa198ce1fad686', '9bbc20c7beeb031a', 'ce2a43daf508bd6f', 'cfd21e505b9804be', '6430c99cf4d6174d', '72f99d3910e39610', 'cdaf697957c30177', '0a8681094edc7832', '00c5fe571a003deb', 'bcda5a73bad164c5', '00a97cfa89150952', '7d70f269a4d75034', '098551f9c9f62f6d']; context = [[33, 69], [79, 118], [87, 132], [62, 95], [0, 41], [27, 66], [20, 58], [88, 130], [87, 120], [6, 51], [46, 81], [105, 148], [8, 43], [12, 45], [15, 57], [16, 49]]; loss = 0.024015 low_pass_filter = 0.300
+Epoch 0: | | 12589/? [2:00:18<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000train step 12590; scene = ['1a24b349faa93add', '95f4261260a3d3f5', '2e16fc65cefe5735', '85ba4b907823cd95', '3c532bb20b428fba', '5ac0f0232a8d4efc', '12b4e77493c77d39', 'c3914b367617df25', '585b9da654b196e0', '85d7f4e0a5ef8813', 'f775386efb45738a', '3bbecfbe6c975b01', 'a8cfb2062202dee3', 'd692e48036144709', '91d197f925891f41', '751c329e576944d8']; context = [[22, 64], [88, 124], [34, 70], [0, 32], [58, 91], [0, 43], [45, 88], [19, 53], [30, 65], [44, 84], [64, 96], [5, 44], [100, 133], [50, 95], [39, 73], [15, 48]]; loss = 0.027265 low_pass_filter = 0.300
+Epoch 0: | | 12599/? [2:00:24<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 12600; scene = ['cac8ff0742e1ef7e', '6e6ce6a006f044a6', 'bc920b78aab35655', '8ef506222a3c3e6b', 'b9265a8827c5b4fd', 'cc23a442ba2ad265', '1e08ac1071c41111', 'f57e10d5f52f4b22', 'e6daa4ac25aebad4', 'd5057db712108c92', '2efcb0c561756da7', 'fbe8831635df9b7d', '4562dc94213cd53b', '4a94b7b90f0aa61c', 'aa3d6cb0a2f7cad4', '0e72268501544770']; context = [[96, 130], [90, 122], [80, 115], [38, 72], [20, 61], [0, 31], [30, 69], [58, 96], [55, 88], [192, 236], [57, 95], [3, 46], [97, 134], [76, 115], [187, 228], [15, 58]]; loss = 0.023375 low_pass_filter = 0.300
+Epoch 0: | | 12609/? [2:00:30<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 12610; scene = ['b3b3f7695bb5ca32', '89d0df849e594409', 'a6ca18871e71561d', '340688cb63ead6f6', '5e68140473b7fb10', '05d0fcfbe36d261f', '50c8b8855897d03a', 'ff29921ff4eab5f1', '7c870fc8c797d95c', 'b113c611f9029c49', '96242e3779c266c7', 'a16f25f49092fd46', '7ffd821c6ca83444', 'b28bd6fb9a670a0c', 'e898ad177bf5600a', 'bae2d6272431c8eb']; context = [[54, 85], [35, 71], [5, 41], [129, 163], [0, 32], [15, 60], [186, 229], [56, 98], [15, 49], [17, 51], [8, 46], [35, 73], [65, 101], [38, 80], [163, 197], [105, 148]]; loss = 0.025752 low_pass_filter = 0.300
+Epoch 0: | | 12619/? [2:00:35<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 12620; scene = ['611a703209b82415', 'df6fb77e12bc8d6b', '17ec5bc4abcf748b', 'ae99a86106bdc24d', '4ef6254d4a4b8886', '89155a0d7d817b53', '4e9d22f52c911e0e', 'eb6059040fefa2cf', 'dd16d8d3c1f7cafe', '225295c24d63c305', 'd5aeb9145e591071', '481b7b29b87bf543', '27df0115a09d7a8a', 'd9887cf1bdf5589a', 'cc9379471477aa68', '1f8af6d19b8dfcbc']; context = [[42, 84], [21, 56], [41, 84], [16, 61], [95, 126], [6, 52], [39, 72], [33, 79], [50, 83], [15, 52], [141, 182], [3, 39], [30, 68], [95, 139], [10, 55], [213, 244]]; loss = 0.024004 low_pass_filter = 0.300
+Epoch 0: | | 12629/? [2:00:41<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 12630; scene = ['e58bf9d7af3ee289', '8769f0f6650d769d', '530bcd81d8f61dfd', '10869961ce9a0083', 'a3dcf985957f8e10', 'c049ee736ade99e1', '9ec234f3f519e09f', 'c544bcc5c3f750e8', 'c5a29b91c95fcfc2', '84d0bf1c2891bb2f', 'c17186792e856d1a', 'baec6e288417e039', 'cab0d99928db8a1b', 'c6ae39de68a36714', 'bec9aa809d6beee0', '2f0ada251c31a62c']; context = [[99, 134], [0, 46], [26, 64], [39, 85], [25, 62], [54, 91], [0, 32], [44, 85], [47, 82], [0, 33], [13, 53], [2, 44], [11, 56], [7, 52], [134, 173], [198, 229]]; loss = 0.026273 low_pass_filter = 0.300
+Epoch 0: | | 12639/? [2:00:46<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 12640; scene = ['649a6b3a11e4355a', '35e10408a07458fc', '50b2407be378b2cb', '84e504fd32f299e8', '52c7f7de545e4b71', '6310e828b3588296', 'b22ecfd2e0500719', '5ed76274f5543cfc', '09454319bbff60b8', '48dd5e8585754cb0', '1f448be55dacae22', '4b91e3d10a227be5', '537ede808cf89571', '31828fd2f1e02290', '66a9d47b11862e57', '4ef6df5a3d7e59af']; context = [[20, 51], [35, 78], [75, 120], [52, 98], [27, 65], [7, 40], [60, 92], [36, 73], [27, 70], [0, 45], [174, 214], [78, 110], [11, 46], [56, 95], [7, 52], [76, 118]]; loss = 0.027340 low_pass_filter = 0.300
+Epoch 0: | | 12649/? [2:00:52<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 12650; scene = ['ab88a6b3b387dac9', '03a09832e1472391', '84359e8e847ad96b', '06256e9ca5d46849', 'ca04de3c55cd1ca0', '8625891ed4d0cf38', 'b7aeefdcf8c006ec', '347a65acdefb3ab8', 'e259aeb5a4011241', '2500c47765259d25', 'b35a083c0ebf5083', '5c3edf95e971e6a1', '20cd6d5b5e0f84d8', '81e4aa61acacb1a3', '882604c1aec0e83a', 'c3b719fbeef463ae']; context = [[25, 65], [13, 44], [39, 72], [6, 51], [94, 137], [101, 143], [161, 203], [29, 72], [125, 167], [32, 65], [15, 60], [67, 107], [20, 57], [84, 115], [1, 35], [176, 209]]; loss = 0.028419 low_pass_filter = 0.300
+Epoch 0: | | 12659/? [2:00:58<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 12660; scene = ['cd0c3be3f75fe832', '6a473050226aad10', '194dfaa589c9981d', '6987076ea88094b0', '9cd5d6eca0c0d52c', 'c31a26091e7994c6', 'c7df59f8b9f04314', '8d24e45a0fb34cd5', 'ab4d903d5879e595', '18dedb90ea5f4869', '522da2a710ac5837', '755be52fe347b481', '88e7d46c7325e541', '9b482a814f0a5481', '3fcab25b002c8d8a', '262ca049a6cd4ded']; context = [[90, 127], [7, 47], [19, 63], [59, 93], [0, 41], [76, 111], [50, 95], [44, 80], [1, 34], [59, 92], [23, 61], [83, 125], [62, 107], [74, 116], [28, 60], [6, 39]]; loss = 0.028202 low_pass_filter = 0.300
+Epoch 0: | | 12669/? [2:01:03<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 12670; scene = ['219e257b654adcd3', '478e07af7840c08a', '286d607fc50715f5', '57a9dcc50b16b0c5', 'e2ac2325c4957d8f', 'ca19843dcf89d83b', '66de8729fe760dd8', '818a3347a8e4afdd', '9894b187d115c065', 'cc375304e2e198e9', '0b4070d37e896388', 'e227d56dd6f178c7', '4cd18aa0eddf1c14', 'cdea215558754e76', '6fab51a37edb7739', '9808ade599ce3b8e']; context = [[25, 69], [23, 59], [58, 103], [62, 93], [0, 43], [55, 86], [29, 68], [41, 85], [138, 181], [139, 175], [81, 120], [101, 137], [5, 47], [215, 255], [55, 96], [19, 54]]; loss = 0.030223 low_pass_filter = 0.300
+Epoch 0: | | 12679/? [2:01:09<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 12680; scene = ['24d54e2cc13cb16a', '2c53bdf1a35452f8', '1c600cef7c23f197', 'e003bf516d8380d0', '2070feb3448f6214', 'a9c542e12a48769a', 'af25eba8540f9cc4', '6e1e866c1a57244e', '737d27c217077407', 'a18df9ef83e6c134', '9f594692a0d431e8', 'd5c2c0f794aeb07d', 'fb2aa1af7ee15d52', '511c580f3b9a598c', 'c996e355e0895892', 'e99688db2c5583e3']; context = [[144, 185], [17, 61], [8, 41], [97, 136], [1, 34], [78, 110], [10, 52], [0, 32], [9, 48], [11, 46], [7, 48], [20, 52], [0, 32], [12, 48], [17, 59], [6, 42]]; loss = 0.027065 low_pass_filter = 0.300
+Epoch 0: | | 12689/? [2:01:14<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 12690; scene = ['66c9632b703b75c5', '4f762e17415650d8', 'afff928380f0e048', '1610b67efd518940', 'e192bb5ee91df962', 'b43d9f7c70f5caa0', '0e22c9b1805cb488', '761d3028a4027ec2', 'b08a9a8a1ae3465c', '218e8f36b7cf1179', 'b58ad668ed5946a2', '6b86d3bf33fbaeff', 'f8372a143e797098', 'af245df4c0acd819', '2191e4743d3e863d', 'e0444ad6a518bfae']; context = [[170, 212], [22, 55], [226, 270], [98, 132], [16, 48], [14, 53], [39, 77], [7, 48], [118, 150], [29, 65], [68, 99], [1, 40], [33, 67], [0, 38], [2, 48], [174, 220]]; loss = 0.026247 low_pass_filter = 0.300
+Epoch 0: | | 12699/? [2:01:20<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 12700; scene = ['27474a9b81b5b915', 'f6383d62f2df75bc', 'bf1277b28c1894f8', '6a1549e061340f9c', '234aa55514e0ec70', '396b616ef6304d90', 'ad9a0c2b517fc375', 'f70323bc2551b19e', '10bbbbe467426d32', 'c5edd6cf1dbadb8a', '11bdc79f5f3fe36a', '249adc3e479b28b9', '33ec2bc6fd434fe8', '54cfdcc11f17f88a', 'a95691c28a8c28a3', '2f56fb1ce3c46045']; context = [[11, 43], [59, 103], [160, 191], [61, 93], [4, 48], [45, 89], [217, 248], [0, 37], [73, 116], [138, 175], [4, 37], [13, 54], [28, 72], [35, 77], [210, 243], [137, 176]]; loss = 0.027855 low_pass_filter = 0.300
+Epoch 0: | | 12709/? [2:01:25<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 12710; scene = ['71b3f7c9e77336c4', '382d97b003369ca2', '7ac2161a4e5fa551', 'f1afbf6f673bac06', 'af339c9b95c07920', '7fc6a4aef5aafaa7', '8b54ea3284f5c864', '3f5020e5dc8240bd', '2c1c950314fbbbea', '9a281760e4332d8a', '34201d3bc1d0c0f2', 'd90e1010470c6a9f', '8833535b7cf3a3fd', '6b22c6f4e8d8e300', '3a6ced6a3ab9a9f6', '2cac76d5912e6930']; context = [[138, 178], [19, 51], [5, 36], [2, 36], [122, 168], [7, 42], [236, 267], [8, 49], [44, 80], [24, 68], [20, 59], [31, 62], [100, 140], [118, 162], [55, 101], [0, 34]]; loss = 0.027180 low_pass_filter = 0.300
+Epoch 0: | | 12719/? [2:01:31<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 12720; scene = ['cbc3afce38e5c83b', 'b628fcd395211ade', 'b36f5704af87f5db', 'd3ca3d60220f345a', 'c53f5fbaa207e94b', '7e858407f6705790', '2ec9b3196d12c94d', 'c40a2ea96f6a035c', '257ab5c1a83a0664', '84339271308b5cb6', '7acc85ef88e5a186', '80d4d02464edb6e3', 'd253a755fbd1d015', 'c6da0d81f35e345d', '8836f80f85832118', 'c8a1f2c1e73ff3d9']; context = [[82, 116], [18, 60], [20, 57], [23, 61], [66, 105], [56, 100], [182, 216], [1, 33], [11, 42], [149, 186], [21, 54], [124, 158], [14, 55], [114, 153], [27, 72], [19, 64]]; loss = 0.024898 low_pass_filter = 0.300
+Epoch 0: | | 12729/? [2:01:37<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 12730; scene = ['9244db5b18e2b374', 'e66b797b12d9b3ae', '9c8081404a3f7882', '25ebef2bb83c28fb', '5ea7115a2e255739', '75cf72cbf86f26c0', '1e901762e6303bd1', '6e521142e65f6c17', '552dfd0a1d1ec11d', '0a76fe2e2dbe992d', '0ea602343e77c593', '75134d5964b209a9', '7efc7102b3b079d9', 'b28bf243cf3e48b6', 'fa6b4b8565053454', '59e94a32e670efd7']; context = [[0, 32], [58, 102], [59, 102], [2, 37], [47, 79], [1, 47], [71, 104], [14, 51], [7, 38], [34, 71], [28, 75], [53, 92], [3, 47], [21, 52], [13, 54], [6, 37]]; loss = 0.028298 low_pass_filter = 0.300
+Epoch 0: | | 12739/? [2:01:43<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 12740; scene = ['6d70eee02ef9d6ff', '53db70b63ac3990c', 'b789c7458ec68143', '8ac83ba3156df8d9', 'd12b528777b5bffd', '5961c0e76030094e', '7400bbcba57af668', 'cc8ca5db181e8bce', '917ab9849d0d6a8d', 'bcca779045d62e67', '504f84dcd4f6fd4c', '0f3a74f2d2eeb583', '0ed772aee274d4e7', '9741cf7012a04c9b', '015ca2f115af3dde', '8d073ac3acb75992']; context = [[1, 37], [14, 51], [11, 54], [40, 71], [0, 31], [9, 44], [172, 219], [125, 157], [52, 83], [60, 94], [176, 213], [0, 31], [32, 67], [4, 39], [13, 45], [3, 47]]; loss = 0.032964 low_pass_filter = 0.300
+Epoch 0: | | 12749/? [2:01:48<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 12750; scene = ['dd7eb3fbaa5f4f3d', 'f9fac61d6f0f5354', '77e47a1640600d9d', '33e9961fed513e93', '95479ca25e2d955a', 'aa2eeecbd664a892', '5f443f2595137e9a', '46646c26665e3f89', 'dd4840f0d5227d5b', '15b37a12fbda65da', '6d5e73f24d60de17', '7767685c39a88cf9', '17f47ff41a55a6e1', '876b693d043b22e9', 'dea498ff8b8ab6f9', '72eec921256814f8']; context = [[203, 243], [12, 49], [12, 44], [26, 66], [43, 76], [35, 70], [52, 88], [21, 60], [39, 82], [72, 116], [46, 90], [74, 106], [44, 78], [190, 235], [8, 53], [23, 68]]; loss = 0.025309 low_pass_filter = 0.300
+Epoch 0: | | 12759/? [2:01:54<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 12760; scene = ['62d6c63f8dce02c9', '147566669ddf5bf0', 'c44553e290135c7e', 'd18b58ec824238ed', '792db49cfc45f8ac', '059823ef51160b76', '996e68866947e1eb', '4dce6855bd78d472', 'bbd574fc81d02bf9', '463a721c706cb237', '4213a78b00a65962', 'e598c6c4d23a5619', '27b5502283386ee3', '4610410bd5d02055', 'b4a4ab4897aeb1ec', '73c5ddec7618bb6e']; context = [[162, 203], [44, 89], [95, 127], [33, 70], [186, 219], [14, 61], [28, 61], [24, 70], [143, 188], [117, 157], [212, 256], [34, 71], [17, 51], [138, 174], [0, 33], [0, 37]]; loss = 0.025590 low_pass_filter = 0.300
+Epoch 0: | | 12769/? [2:01:59<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 12770; scene = ['c86ccd2448e8735d', '37ff350eba2c5f64', '10810c921b4b3f84', 'cb6f68fd2e9755aa', '008d5bc870d12c22', '379f7d095dd31bbe', '6d638e347e889c63', 'ffc4643950346872', '66a09cc7f5e4dbc8', '1f2c53501ca20a48', 'd705175cee467a2f', 'c3f52f7d45615331', 'b1e2e8cfcbad32c6', '5e52aa7cf5eb7610', '958ea57802136c0c', '91122969503f81e0']; context = [[58, 92], [20, 56], [7, 42], [27, 60], [125, 167], [105, 140], [120, 163], [80, 119], [20, 51], [30, 69], [87, 123], [70, 110], [28, 73], [18, 60], [236, 267], [2, 45]]; loss = 0.028950 low_pass_filter = 0.300
+Epoch 0: | | 12779/? [2:02:05<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 12780; scene = ['cc067bb3726f6dba', '14a12379ac4fde73', 'f31b593e5f477596', '202b9a0a354f2059', '1c2baa22ca752e9b', '395b32343999e1a7', '3507a192abd163e8', '0b48360f07bde1ff', '736fdcac4334bc20', '71ed514b41b8ac5e', '55bcbb1d21f88c27', '6a3752b1792ce8af', 'e07b8e5f6e9fef91', 'e83dbd16dec37e43', '3f4ca1ecea630686', '9b8641a671477a0b']; context = [[35, 74], [44, 76], [15, 59], [125, 170], [157, 189], [51, 96], [19, 51], [38, 75], [3, 50], [30, 76], [11, 56], [92, 135], [236, 268], [53, 96], [32, 79], [38, 80]]; loss = 0.026736 low_pass_filter = 0.300
+Epoch 0: | | 12789/? [2:02:10<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 12790; scene = ['cf32596390d11d7c', '2f7966a5066dfece', '395cbad13a85e090', 'fb3b1f662e902d9c', 'e6028373d0388cea', 'c5588bc0268e5c81', '16a3dad8315912bb', '312cd12b9be29819', '3afecd065021c4c0', '1d2c9ffecd057d36', '2c6974c8d0fd6426', '05aab341d9f7cd51', 'ed9391a68fe3d44e', '09987dcb90444a8f', '623703e844f4187a', '09895c510108d81f']; context = [[128, 169], [43, 75], [0, 37], [64, 105], [19, 55], [177, 210], [4, 43], [24, 70], [15, 47], [25, 67], [15, 55], [4, 48], [1, 40], [70, 108], [37, 72], [30, 76]]; loss = 0.027754 low_pass_filter = 0.300
+Epoch 0: | | 12799/? [2:02:16<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 12800; scene = ['0b3cb2cf49ec91e0', 'f7f6eca1f49f8580', 'f518da7a7d6bd238', '092892ba7b6943e0', 'b9e60d9c662753fd', '19453dc7ad86af4a', '3a08b53f7bda458c', '84830ea2f89dd47d', '88b813a9ea188da4', '635483ea0dc4688a', 'adb6466984682058', '9105f7b56c8f0dc3', '7aa0b50241a5f34b', 'd05f90bd3cccd46d', '972bf187dfa4ff2a', 'ae1e3e3e94a1bc1f']; context = [[56, 95], [38, 81], [125, 156], [0, 42], [7, 38], [59, 92], [34, 70], [11, 47], [4, 48], [147, 192], [35, 71], [5, 44], [15, 62], [29, 71], [118, 152], [21, 62]]; loss = 0.025684 low_pass_filter = 0.300
+Epoch 0: | | 12809/? [2:02:22<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 12810; scene = ['507b5a777e8b7517', '6920ac9035ec1bc6', '9610550dc2158bff', '82939e10c0a3360e', '15bbc78cbb8744eb', '2d66737832c4cd18', 'b479eeed22e8e59e', '765969df0c10cc67', 'f165d20dbfd51f42', '15bcc07bca382a0b', '4e3342227bac9194', 'b53bba5522b4b8f1', '8e38110489730c19', 'ce357c0e48f61ef9', '88d67718b0e0e025', '7357769abf6e270a']; context = [[117, 161], [43, 78], [58, 101], [219, 250], [52, 86], [114, 157], [43, 87], [1, 33], [18, 50], [100, 146], [32, 67], [49, 89], [2, 43], [29, 63], [8, 49], [4, 47]]; loss = 0.027609 low_pass_filter = 0.300
+Epoch 0: | | 12819/? [2:02:27<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 12820; scene = ['18ed5f9e86797748', 'dc8c60520f97768f', '8f143f06559309e6', 'aa0fc15ff8226499', '26df5708ad6e414d', '2ba70c51fe7b9b31', 'd2d3474ebd2be7e8', 'f64a64b4c17ad1b0', '68fe4c264682a4af', 'c90c46a5a1c95c0e', '5949f0b41fb6e848', '7fa967710229854e', 'de13992d44e86ff6', 'c6c114f98ad69a02', 'ec1789428dbe59d6', 'ae25c3b3bd733c0c']; context = [[9, 44], [64, 95], [37, 82], [32, 74], [31, 68], [5, 50], [1, 38], [2, 44], [27, 69], [212, 257], [54, 100], [1, 41], [7, 51], [24, 60], [57, 104], [44, 78]]; loss = 0.025203 low_pass_filter = 0.300
+Epoch 0: | | 12829/? [2:02:33<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 12830; scene = ['2502f2ed6eaa9583', 'aeda9f612c0f680d', '08685fe389405ca1', '94b3131d49d0062e', 'd73f59491df24b37', '0d25405292bad7f5', 'cf40de219c17f028', 'c639a14f7f9b90bc', 'bdf3c546187a5a9b', 'dc82bc53272d4f60', '2d48a8217d6bdc97', '055ecd661c01319c', 'ad8eab5fc44a2cdb', 'a10c13e7b3ca2739', '3de83835be367bdf', 'daff359bb3c9a72d']; context = [[76, 109], [8, 46], [27, 58], [51, 84], [31, 74], [168, 208], [18, 56], [21, 53], [97, 135], [42, 85], [16, 51], [145, 178], [18, 57], [6, 37], [8, 53], [115, 155]]; loss = 0.027628 low_pass_filter = 0.300
+Epoch 0: | | 12839/? [2:02:39<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 12840; scene = ['17487b231252bcb5', '6c6a9874616bd4f3', 'c31738282f5e0f7c', '95ef183fe01ef0f5', '94c24d79a85823f3', '460edf005a29dbe8', '19e3eac3e025c3e8', '6f4af7195e3a97b7', 'b7fdfb242e095110', 'ddeb26aee2619bf5', '515754f1d2815313', '72ddf898c94766dd', '7eff5e9e76ba5d7b', '5f6c34666d91e1e3', '2192e23641f6bf31', '25e1057952554e53']; context = [[65, 100], [26, 63], [1, 38], [80, 121], [104, 148], [11, 51], [113, 154], [73, 111], [24, 64], [19, 64], [43, 81], [160, 198], [26, 63], [21, 66], [175, 214], [22, 62]]; loss = 0.026482 low_pass_filter = 0.300
+Epoch 0: | | 12849/? [2:02:44<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 12850; scene = ['f427a711c9d913d7', '57be712fb0ea2f4a', 'ff48623caeaa8f9c', '70a51dc88d4ff701', '677748baf15925e0', '966fe01da602a653', 'd61baebe55920a9c', 'd7435afbd0b0a8ae', 'd245364fcccb1139', 'ddabe0fc995cbc39', '25fb34c73d400784', '1afd39e5280277bb', '7634ccdf6c344129', 'b68cfe04fa83d13a', 'b1b3e987c23640dc', '9abe0db0374db859']; context = [[33, 73], [40, 76], [2, 44], [87, 120], [33, 70], [24, 66], [0, 32], [11, 49], [2, 44], [1, 45], [17, 59], [16, 63], [101, 134], [10, 51], [15, 47], [92, 137]]; loss = 0.027794 low_pass_filter = 0.300
+Epoch 0: | | 12859/? [2:02:50<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 12860; scene = ['53fe8fcecf2767a3', 'ba8af60a9d4bbeea', '61c3762e0090d702', '852820a2465b9c4e', 'c54760d0f4deddf4', '4d9699312cb68d15', 'b4a621ff4fc39bb6', 'fe3eb89cdb313955', '9467cca40f3ac088', '9d8d92be744082ae', '4fff9fbe73952018', '369fdb50d48334e8', 'bc449bba72ed3c18', 'b1dacfc09781d920', '1c3284259050a0a9', '13b21c39447af9bd']; context = [[45, 82], [22, 58], [8, 39], [43, 77], [29, 75], [0, 32], [41, 87], [2, 47], [180, 216], [5, 51], [11, 50], [0, 45], [0, 32], [3, 39], [159, 198], [48, 90]]; loss = 0.024202 low_pass_filter = 0.300
+Epoch 0: | | 12869/? [2:02:56<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 12870; scene = ['63e22bbf20853cd9', '6cb7f85c92dc6f1a', '854751ec83107f77', '521f7e732acd87d5', '348e112a06c25f4d', '55f8b7d5838491ae', '8dd25b0a12c6a8f8', '0a4984a2df86b475', '162b5410b9529295', '202804795c8dc7d9', '6ca7f051fa8000be', 'a212154cd39361ca', '0e895dab0c10b89d', 'bb3e352ee6959d9d', 'aa1de687b9ca8b3a', '55595976706bb7a8']; context = [[85, 120], [74, 114], [77, 122], [106, 142], [39, 77], [20, 66], [2, 42], [10, 54], [88, 131], [152, 196], [159, 193], [1, 34], [6, 47], [32, 72], [3, 49], [18, 54]]; loss = 0.028650 low_pass_filter = 0.300
+Epoch 0: | | 12879/? [2:03:01<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 12880; scene = ['e5da5035d5cf1047', 'c09c922d2505ce6b', 'af4d7b5f270b9f1c', '9055041789f01a42', 'b6ee356598ee3c4d', 'ce04d2f0e461e2b6', '5ed75ec6df343f5b', '824a064f8ab1cf0a', 'e0c47b9d7af9ef13', '96d77693e54350c7', 'abaa09068432a694', '81954eeb7c50183d', 'dc1110b7701f6293', '172722bb9e5e9e55', '959dd47373e8175f', '99c6206107d8beed']; context = [[45, 89], [25, 70], [14, 52], [14, 48], [53, 98], [8, 41], [12, 43], [36, 70], [22, 63], [13, 57], [30, 70], [7, 50], [80, 114], [7, 54], [9, 45], [78, 117]]; loss = 0.037130 low_pass_filter = 0.300
+Epoch 0: | | 12889/? [2:03:07<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 12890; scene = ['1136264929a1c20e', 'a0438ace9b7619cf', '77c03290d901ec15', 'e616312de3f164bc', 'c7c6c4112a3badf3', '9176677777da9d07', '2870538dbc6f5d1c', 'f54731b471e7b2e5', 'f29212dbf83dd9b8', '4b15ea1560f7c424', '04d6547f76c82882', '827c5f3b3886553d', '550bce5a68e987d9', 'ab0bc4f20f980b5c', 'eed4bc1d32a43a87', '51c08f281fa58279']; context = [[45, 84], [38, 82], [60, 107], [3, 48], [7, 42], [52, 85], [24, 71], [1, 35], [90, 133], [13, 58], [3, 48], [24, 58], [23, 64], [10, 42], [41, 82], [95, 138]]; loss = 0.030781 low_pass_filter = 0.300
+Epoch 0: | | 12899/? [2:03:12<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 12900; scene = ['7af3ae39bafa42ca', 'd00468d657637e58', '7c03b5dcd8d67884', '20e52dd69adce3bd', '0021e3be0043c3b3', '49a3f7ae3a565531', '927c1d583687a4a0', 'de24e08882c2f2a1', '491e340a53f1c0d2', '02dfa1c2784f08eb', 'fdea8b88ee5b83c0', '477d7b0b03458aa5', '7c25281ed9129369', '4f0426596f5d2a4f', '4f73c98468777026', '546804a3b5faccc6']; context = [[39, 84], [99, 132], [58, 89], [22, 59], [6, 42], [63, 99], [34, 72], [8, 52], [19, 66], [53, 93], [6, 50], [1, 34], [69, 109], [41, 76], [145, 177], [18, 54]]; loss = 0.029707 low_pass_filter = 0.300
+Epoch 0: | | 12909/? [2:03:18<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000train step 12910; scene = ['c8be2a65ab3523bf', 'e93bcdd32f6201d2', '52353deaec940de4', '44ca078432802942', '5f204ad1cc82ddaf', '60d3394314e4efd9', '04653228d416959f', 'f1dfd9f275bfdb2b', '163e2dae752f2e08', '5edf50794aa6642b', '7af404ed5bc4ae26', '10e61d26bbf88ffe', 'fa2dd55d59f24505', 'bf171a0b8ca0c7a8', 'e9bf2976170647a5', '4d1600d81f68f156']; context = [[9, 45], [24, 59], [12, 43], [22, 62], [19, 51], [155, 190], [2, 48], [40, 84], [81, 114], [23, 66], [51, 84], [50, 86], [1, 38], [31, 65], [20, 56], [66, 101]]; loss = 0.025640 low_pass_filter = 0.300
+Epoch 0: | | 12919/? [2:03:24<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 12920; scene = ['75cb48a4c8049279', 'ab81540435e624af', '0e431041305e5bf8', 'd9205348ae400514', '5c6ef4865ed51116', 'aad6209cb374086b', 'eeb0131c26691b17', '3da2fff83c3e955c', '5acc2cb4c8cc2220', 'f695b9fd884f9c3d', 'da85e1680f6d70e4', 'c9755380f559fa04', 'd51efc546a523318', 'f728a149ea2dcc32', '82bb912dd8628b3a', '561055f011b8ec52']; context = [[42, 83], [2, 49], [18, 61], [44, 80], [21, 67], [70, 116], [20, 66], [57, 97], [87, 126], [6, 38], [13, 59], [32, 68], [49, 83], [42, 76], [93, 124], [38, 82]]; loss = 0.026850 low_pass_filter = 0.300
+Epoch 0: | | 12929/? [2:03:29<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 12930; scene = ['3922ba9aac216d1b', 'd308f019346aed90', 'd73c09ac36dd02b7', '252ab646bcd51b88', '07b60db51a783703', '60bce031665c4f4a', 'd3a0a89d951a6101', '85750648ae0a3571', '43f17977e6afe5a0', 'd34926c73ae1277e', '958596ec1ee3a839', '30df31bce0d6b16a', 'b43f32da9a7800ee', 'a3e1454634601a50', '01789229a85a4516', '465249a4ce4bef29']; context = [[30, 71], [1, 40], [51, 86], [37, 82], [6, 39], [57, 93], [187, 223], [76, 116], [56, 88], [146, 181], [17, 53], [0, 40], [60, 92], [13, 57], [148, 187], [36, 72]]; loss = 0.023996 low_pass_filter = 0.300
+Epoch 0: | | 12939/? [2:03:35<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 12940; scene = ['9610550dc2158bff', '15bbc78cbb8744eb', 'f165d20dbfd51f42', '6920ac9035ec1bc6', '4e3342227bac9194', 'b479eeed22e8e59e', '82939e10c0a3360e', 'ce357c0e48f61ef9', '8e38110489730c19', '765969df0c10cc67', '2d66737832c4cd18', '15bcc07bca382a0b', '33d57adf7f083810', 'b8766133be5a4e74', '8a4de0caa5254578', '7bd45958f4294e5d']; context = [[5, 38], [48, 85], [19, 64], [32, 74], [105, 137], [53, 88], [200, 244], [9, 56], [3, 40], [0, 33], [79, 112], [117, 159], [14, 47], [41, 88], [107, 146], [4, 51]]; loss = 0.025512 low_pass_filter = 0.300
+Epoch 0: | | 12949/? [2:03:40<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 12950; scene = ['dfa2e964f8ce4d39', 'e9a730eefa817d23', '61232854228e43aa', '41da53c2b1d8a000', '9af3593da4c1d27a', '9a1aaf5f24aa2a5e', '2700b330f81529e5', 'a39048679f06dbb4', '58d36cdef206c93c', 'ff28a57154e30bd3', 'f3b2c02f309d6712', '2e83f434f6fd8d6a', '2560583c1c055283', 'd9bd46334d64e003', 'd074517a27f42b13', 'cbab60c98a1e85e5']; context = [[92, 131], [10, 55], [90, 137], [42, 75], [12, 48], [10, 48], [34, 65], [2, 45], [112, 146], [35, 71], [26, 58], [10, 56], [37, 69], [8, 45], [60, 98], [190, 228]]; loss = 0.026774 low_pass_filter = 0.300
+Epoch 0: | | 12959/? [2:03:46<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 12960; scene = ['9b4a4e88873cdf59', 'b75f6cf11ebf48e3', '8ce4f67c5e2efad4', '0a586fd4bf0fab33', 'a4d91231aca52188', '86047fdaba2dd7d5', 'd18fb658445b84e8', '444fc05a193a5ce1', '322ce6f17ddcf8af', '28a61b0671b98d3b', 'bd99ad1d47bb9005', '0ce0280408216d05', '2bfb1fdeb47c139d', 'f92964360d184d99', 'd2dd3b46d9903314', '3d9f44d7bdd0796d']; context = [[65, 105], [31, 75], [15, 61], [8, 46], [1, 47], [94, 132], [111, 148], [0, 31], [121, 162], [56, 100], [47, 90], [0, 43], [6, 51], [7, 40], [68, 102], [24, 67]]; loss = 0.024395 low_pass_filter = 0.300
+Epoch 0: | | 12969/? [2:03:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 12970; scene = ['045a9a81122cf9e1', '6e238645b2a85804', 'ef98b97970d1926d', '12626eba886405ed', '869e9898965ded68', 'b8d55d4d98ec2500', '2bba4f98ea96daea', '84157bfab55e3573', 'fd46ddb80c816b61', 'eb92f95542ff395d', 'f870d1164b98e034', '1ff35ccd15e08a8d', 'e32ddf4210732a55', '1d3ccb58aefb0ad8', 'a66aadfbd6edfe93', '8fe6257e14ab51e3']; context = [[87, 118], [130, 168], [10, 57], [114, 154], [1, 32], [67, 100], [41, 77], [57, 93], [56, 91], [5, 40], [6, 38], [73, 108], [55, 99], [17, 58], [12, 50], [85, 131]]; loss = 0.026702 low_pass_filter = 0.300
+Epoch 0: | | 12979/? [2:03:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 12980; scene = ['fefd0f966b7d6fe8', '67cc43badf38da40', 'fc8c7cb71ebb4a8a', '34dc2fc97f0847ec', '5878fff178507413', '8774981ec66bb258', 'db999dde95ae1ca2', '3faad0030fe08d62', 'cc3fd68dde81b99c', '208d8bd420d5ae84', '15300277e84db888', 'cba0a5697eda0832', 'd4526089dcdeca47', '4f5b3ac56f06c59f', 'd6a92c9fc0e93fcb', 'b54ba5c46655231f']; context = [[8, 50], [36, 78], [132, 174], [7, 44], [120, 161], [171, 210], [24, 65], [3, 45], [91, 126], [43, 74], [6, 48], [9, 55], [177, 218], [104, 141], [28, 68], [54, 91]]; loss = 0.034124 low_pass_filter = 0.300
+Epoch 0: | | 12989/? [2:04:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 12990; scene = ['8e2fd6cbc2bad37d', 'f058d149cc4be02c', 'bfa4146967e24f8e', 'eb928019466c6736', '847e8053e29adbeb', 'a45af19c2ad1b7a9', '7d0b23a5417adcde', '7ad3c6fe04b279ee', '8ab34eaa66b30d30', '1185796675009ca6', 'a831d37e59002526', 'dbf2a93c7a57fe21', '1b6cf9888d142fe1', 'c3533af28febf55b', 'e1a70992f73c5b37', 'aedfde725ac8cda1']; context = [[45, 89], [62, 97], [5, 42], [44, 90], [5, 41], [21, 58], [159, 193], [9, 48], [8, 45], [1, 37], [27, 60], [52, 92], [57, 90], [12, 46], [49, 96], [138, 169]]; loss = 0.025966 low_pass_filter = 0.300
+Epoch 0: | | 12999/? [2:04:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 13000; scene = ['f32c123eb81c5f5b', '699a84e76fbb34d7', 'f6d3ecda8aa336f1', '2c2bfbbf301cfd33', 'b9518d3dd1f060c7', 'a5f5f9de4e24a755', '55f82df26da1032c', '760a4c39741f46d4', '410d94f29ddaa79c', '38490fbf4fd1f065', '9378834edf2b110a', '6452c61ddaaa86ae', '52bc5e66187ece16', 'b3abbcb1c46400fe', '0e0b8f80c06aaf0a', '17bd30519a9a3387']; context = [[173, 218], [65, 100], [12, 45], [23, 54], [92, 138], [26, 60], [23, 57], [114, 145], [16, 47], [35, 76], [6, 43], [25, 58], [35, 74], [7, 52], [231, 269], [50, 92]]; loss = 0.023484 low_pass_filter = 0.300
+Epoch 0: | | 13000/? [2:04:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000validation step 13000; scene = ['3e07add8413f8157']; context = [[49, 95]]
+Epoch 0: | | 13009/? [2:04:15<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 13010; scene = ['e4532151b691dd37', '5c94f503e4e84163', '905511ad5e23a6e5', 'a17898923fa069b5', 'f9439e8dc272843e', '705be65c924cf493', '24d0c50b0d08445f', 'c2a4f8a0206456ff', '916fbead6b97efef', '811e0e6fc16a4a3a', '8cba0fa4eafa14cb', 'a40cfc3d2bfdfa40', '28a2551c138c1f75', '5ac5095c5ba03d10', '09a5339ccc711be4', '808e9fd47a7c37ec']; context = [[23, 61], [26, 65], [10, 51], [27, 70], [29, 73], [5, 42], [61, 106], [33, 76], [133, 168], [6, 52], [118, 151], [41, 74], [61, 103], [57, 101], [10, 53], [15, 57]]; loss = 0.030816 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 13019/? [2:04:21<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 13020; scene = ['b57ab022d7aa874c', 'a37aad7a34d52099', '9e633a922e716e6d', '8034b7282e9b4f7c', '6a5376582bae4b9f', 'aa5bbea5a351866d', '5be58e4d2ad059d0', '5c79ead719727673', '083888ddd44982da', '3dca9c50e63b5ab2', 'e44658a3501601eb', 'bcb825ddb88f6a3a', 'a7ba9f407428dc57', 'a45c154e21ffa65c', '8bdbfd0298e5b696', 'ea1d7d4183eff93f']; context = [[121, 168], [120, 155], [68, 102], [77, 118], [55, 102], [51, 92], [102, 144], [0, 35], [32, 78], [56, 95], [54, 93], [107, 144], [1, 36], [92, 129], [16, 48], [68, 103]]; loss = 0.029224 low_pass_filter = 0.300
+Epoch 0: | | 13029/? [2:04:26<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 13030; scene = ['43f3809e04ddf7f3', '2f455705d2c96e66', 'f8b4176d2ae1af2b', 'd665875819ade8c4', '3db4b6f273920241', 'dbcbfa5009d3737f', '0d507e4ed6f74f50', 'd52730231fa8e38a', 'ed9fe965631b2f51', 'e54e03bffe8bd2db', '19531ca5571412d5', '5709cb008a9cb9d6', '6e38d2e032c9eb99', '51ceead3b54614e0', '61e79b9fd877be55', '8881315dba2d37e0']; context = [[45, 92], [189, 223], [141, 182], [2, 33], [136, 178], [6, 45], [1, 46], [49, 94], [4, 39], [69, 115], [10, 51], [126, 173], [25, 65], [30, 73], [34, 67], [35, 73]]; loss = 0.026992 low_pass_filter = 0.300
+Epoch 0: | | 13039/? [2:04:32<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 13040; scene = ['e9cbe9e700c26527', 'cb1c282bf846a3c0', 'f4510233c5634447', '16d832ffbb1e7932', 'cc079b0ac012e015', 'b1c7a57152e9c4b3', '95060b5812ce1211', '18a0e78ac4572269', '43ffd13c1c002f54', '725fac3f3405f504', 'f4ba6d204cb14df7', '6e660339fe5d1518', '20d8f725ca43a225', '30400d1809189f16', '1f214117250f089a', 'faa760d7d2c034ec']; context = [[15, 53], [25, 72], [1, 32], [38, 82], [35, 82], [62, 95], [26, 63], [158, 198], [6, 40], [165, 212], [59, 94], [7, 47], [30, 73], [109, 140], [183, 220], [22, 69]]; loss = 0.029424 low_pass_filter = 0.300
+Epoch 0: | | 13049/? [2:04:38<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 13050; scene = ['dcb7551919456931', '312ed3299485b994', '840e57a017357225', '0294b1cb70478a95', '4e234250febdd495', 'c48422606151f546', '8fb752ea61e9ed9f', '36f6688411ac5579', 'f493ee914a673ff5', '69293f51157ba0fb', 'c56e0d67e4d6c3e1', 'cd4b6bddafd166e5', '7426a108ff0bd8f0', 'ae76b3fefecf973d', 'a1331ad1467f9dbb', 'd670e439d6d9ae8f']; context = [[40, 79], [8, 43], [62, 100], [16, 59], [4, 45], [10, 49], [1, 37], [0, 31], [19, 58], [0, 33], [21, 53], [169, 207], [231, 277], [0, 36], [80, 124], [6, 52]]; loss = 0.029067 low_pass_filter = 0.300
+Epoch 0: | | 13059/? [2:04:43<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 13060; scene = ['2f455705d2c96e66', 'd665875819ade8c4', 'e54e03bffe8bd2db', 'f8b4176d2ae1af2b', '0d507e4ed6f74f50', '724f9f3b50e2a778', '0b714d93b8d1d0f4', '105e6a039d9e486b', '37a6668e37b81707', '6c3b33f3d1f6c0a3', '6d02873a8e2a1124', 'b071ce2b817199b0', '020be62e8d7528cf', '34b49975160a39c4', 'd26a81d0bd4443b6', '2d8cb7be1e2f7383']; context = [[20, 62], [0, 31], [171, 203], [77, 123], [99, 135], [23, 66], [8, 45], [15, 48], [23, 69], [0, 31], [187, 226], [116, 155], [51, 96], [29, 76], [168, 204], [24, 60]]; loss = 0.025695 low_pass_filter = 0.300
+Epoch 0: | | 13069/? [2:04:49<00:00,  1.74it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 13070; scene = ['cb6419023897e80c', 'a7b8522c8c3153c4', 'c6445c21aad2bcf1', '0a042bed0ad1e401', '22d5f3a76b94182a', '90f08800a0e95efa', '5d68ede0f829a545', 'd7154ee69ea14c61', '4b135b575c9c5ef5', 'e97617b00097605d', 'a050deb6d503757a', '4d2c0f16715e0c6f', '9cd2647d88c67314', 'cd3c99af3e6f1291', '7c5db86d341e9176', '1e5eb15309d11c41']; context = [[10, 55], [182, 215], [71, 108], [4, 46], [7, 45], [37, 79], [10, 50], [38, 81], [11, 51], [65, 109], [110, 148], [194, 232], [57, 94], [75, 112], [0, 31], [159, 197]]; loss = 0.026154 low_pass_filter = 0.300
+Epoch 0: | | 13079/? [2:04:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 13080; scene = ['a895746dbfcae9fd', '69937c2efa2c110b', '0c7cb5d7206b8f56', '702d6cd812ef150c', 'c53e0b350f04f159', '64327b991f165570', '351b8ee067a5b409', 'd58471c80d3b334d', 'dc4b01caf622c778', '6666ae9375b1656e', '307049b9515d7ee6', '46d11fdef3f136d3', '3c418948bc7076cb', '3323fc8b3b6bccbc', '95b1deb2d645f275', 'fd4d668123665d1f']; context = [[25, 58], [0, 47], [186, 223], [1, 44], [23, 67], [62, 107], [0, 38], [7, 38], [223, 262], [19, 66], [39, 74], [38, 82], [31, 73], [33, 67], [72, 106], [61, 96]]; loss = 0.025712 low_pass_filter = 0.300
+Epoch 0: | | 13089/? [2:05:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 13090; scene = ['3db4b6f273920241', '19531ca5571412d5', '535fdf16906072c7', '0154dcafdf387a0a', '06dd8772e77b7738', 'e0aeb18b259372fa', 'e5a4dcf034c38fc7', '7b18ad4131a3c318', '2745f6d6846847d3', '901da44e3786eac6', '8195e8de2d85356c', '5a7cc6854438d617', '1864a988dcd127e8', '4fbefae3f03e9f33', '32ca420636e7498f', '78086fc839b55dff']; context = [[59, 104], [85, 129], [0, 45], [34, 70], [80, 121], [57, 103], [38, 69], [90, 127], [0, 35], [9, 50], [13, 50], [199, 235], [49, 85], [5, 47], [92, 135], [30, 70]]; loss = 0.026019 low_pass_filter = 0.300
+Epoch 0: | | 13099/? [2:05:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 13100; scene = ['abe09fe4b76e38a6', '3daf1eabf19c93ec', '77d4dad49d3bf4f1', '6d5ca78f3b7111eb', '5ab460913e459419', '0bfdec70b0e4848b', '85d78a23254e792d', '2a738a49db16bea7', '27227056e078032b', 'a64972f2ce3ab93c', '534a13c9352bd9af', '2d5367d8abf2a189', 'deace859a58d2b95', 'd8ba8a4fb9c1c2e0', '4ee47d2221d5b867', '13eeb9d14b8f8449']; context = [[31, 66], [43, 74], [107, 150], [62, 108], [82, 122], [1, 46], [48, 88], [16, 49], [3, 41], [99, 146], [22, 64], [76, 109], [13, 51], [79, 125], [0, 42], [9, 45]]; loss = 0.028948 low_pass_filter = 0.300
+Epoch 0: | | 13109/? [2:05:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 13110; scene = ['d6ac297a4d15b7b0', 'ebefa67b99601839', 'a35fcfd5ca571296', 'e2b10586530728fd', 'afd1f0b4fba0c645', '28e2882fd19235da', '44c89ea5834e28b3', '6c37b62853077e8e', '8dfe8887806a699c', 'c7159a8daad87750', '0efc5f77b13da150', '5bcef3db70b6a339', '25c642db7f0f4274', 'a1bcecce933334ec', '576bcfdc62b51455', '9d04c5c69b79b41b']; context = [[38, 84], [28, 65], [40, 82], [24, 64], [236, 268], [11, 56], [20, 65], [0, 32], [1, 44], [28, 69], [2, 46], [8, 46], [46, 93], [0, 44], [2, 42], [89, 122]]; loss = 0.028386 low_pass_filter = 0.300
+Epoch 0: | | 13119/? [2:05:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 13120; scene = ['17805e587507e9e2', 'ecd718353f8f83a9', '1e496656b9d98481', 'b3a29ef93f2d9418', '24a5b18908fc004d', 'cb1ecfd7427463e3', '3c8c39f9ac4df6df', '50be6bda22ad172e', '1f28c177c829855b', '8dd3b522ff68a4aa', 'd326909d557faf66', '927a91d4f0d12802', '2ec1f000c3fdc4dc', '55470b75c7afb481', 'b1b3c256fa38e565', 'f1a9c18459064ac1']; context = [[32, 79], [68, 105], [211, 252], [48, 95], [206, 240], [220, 259], [16, 53], [44, 85], [64, 100], [59, 95], [24, 59], [144, 188], [2, 40], [11, 52], [5, 52], [36, 70]]; loss = 0.028193 low_pass_filter = 0.300
+Epoch 0: | | 13129/? [2:05:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 13130; scene = ['9c72bd16d6b22437', '7070aa1236baa8f7', '0452212f8a422ba3', '6c9380078876c6ce', 'a57af4a50085aea0', 'b04757cf619d9817', 'a485b22b932c2626', 'fc0717ba72e4e99c', '4666bf577ab773ea', 'dca97964a12df798', '72462c3f55e7b2de', 'fbf2a517abd3352c', '92e7dcb8dd47d9f5', '173cca7b55907996', '4dae38ded755d705', '818489c872b5472e']; context = [[95, 142], [152, 196], [30, 69], [87, 133], [56, 89], [4, 44], [49, 85], [5, 41], [178, 225], [44, 79], [38, 75], [25, 67], [221, 256], [24, 60], [15, 58], [233, 271]]; loss = 0.026245 low_pass_filter = 0.300
+Epoch 0: | | 13139/? [2:05:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 13140; scene = ['27159dbf7b134cd9', '171d2b088e5c6bbc', '72022413d449fb8a', '5f07e3aa7ddc5cfe', '8f669ff171c957d2', '69930f56840795cc', '9d3f195e8d854334', '5b6ffc1737e0b9d1', '6f314baef40789e0', '1b40e8f1f25b0e73', '55bbd93d2b19cf59', '4102c95a9026d0ee', 'cfc5f9298ced6d9c', '732acd98ac4197e6', '3c3a350286d1a451', '49fc667ff679205c']; context = [[84, 122], [54, 98], [154, 186], [9, 49], [10, 41], [16, 59], [1, 46], [16, 57], [36, 72], [53, 96], [77, 116], [29, 76], [65, 106], [80, 118], [16, 48], [6, 38]]; loss = 0.022872 low_pass_filter = 0.300
+Epoch 0: | | 13149/? [2:05:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 13150; scene = ['976f694a50452c78', '9363a558aa68d23f', '2d6f177e85d244a0', 'd256260f2a5aea8c', 'c0f9d6c981f56f1a', 'eeac9962eca476e8', '158172baed11962e', '631faabe036acfbd', '0b7b84c45ac83e42', 'd9df8387312aa338', '5bea8db2d4f7856b', '844bfbdd9595723b', '69a71426eaf232fb', '409992fcef38c5b3', 'b936c3cd1f2b8781', '13457154dbd7bf5f']; context = [[49, 84], [24, 62], [13, 57], [10, 53], [40, 85], [150, 185], [12, 57], [51, 90], [56, 96], [9, 47], [21, 58], [50, 95], [11, 42], [32, 73], [67, 101], [22, 58]]; loss = 0.025486 low_pass_filter = 0.300
+Epoch 0: | | 13159/? [2:05:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 13160; scene = ['66f5b4fc4d4b11e9', 'd324f36129c89fa7', 'e8e115464fbe84ca', '5b24cc641fd8e56a', '463338d27813b202', '7623ff6b4eaf4cbd', '91188f3f75824ae6', '970d8b8f32b657c7', '32a01427f04b7038', '08795007f7dbe014', '742400ae02982a58', '214d64d6c28f8e13', 'b1c707aa2779dc3a', '9c600c825f25eeb9', '7d85c5ddbfd79e1f', '89e12b43d22bb95d']; context = [[1, 46], [50, 91], [216, 262], [10, 44], [19, 62], [13, 52], [85, 117], [30, 75], [29, 61], [143, 187], [123, 168], [7, 48], [58, 90], [59, 96], [54, 88], [162, 194]]; loss = 0.027726 low_pass_filter = 0.300
+Epoch 0: | | 13169/? [2:05:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 13170; scene = ['152d6d3ac836afd3', '7ee2c0f45d7cb0ac', '5176c714d2e72855', 'edc12d141059e496', '10e35fb0eb1b120d', '5c12d0e4b30e7d1f', '6f842ac896c325b6', 'd60f30aa087b87cb', 'fc0ba1bf5a6cbd74', 'b95e6cbb519ddddc', 'b45439e3cf90cb9a', 'd7f009ec2ab543f3', '357ad9c49b80724b', 'e80dbf2f8aa076de', 'e4e90e143157bcd4', '8f87ee764e31cf83']; context = [[29, 73], [16, 53], [16, 48], [84, 117], [5, 39], [98, 139], [63, 109], [43, 87], [1, 36], [1, 40], [40, 81], [165, 202], [6, 42], [21, 62], [27, 66], [23, 61]]; loss = 0.034754 low_pass_filter = 0.300
+Epoch 0: | | 13179/? [2:05:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 13180; scene = ['95d8fdbde6d3bc0e', '169b3450c206409c', 'bf42ddb0b05a042b', 'a4be14ed97b5545d', '8aa808a0b8f615e0', 'f708a1924342daa2', 'ed5b14b917518937', '3d25472e6c3c1656', 'ff9b2c0bb5d5265a', '2fcad17f6d64f031', 'b476d01a67642324', '33a7d571ab031d70', '86bf9a8f338370fa', '40a1217116dc112c', 'a8dbc5491c002f9d', '3af52105acc793ba']; context = [[104, 145], [5, 50], [4, 44], [55, 90], [7, 51], [30, 73], [6, 46], [13, 54], [34, 70], [12, 49], [65, 102], [7, 54], [76, 118], [55, 99], [63, 101], [28, 74]]; loss = 0.028026 low_pass_filter = 0.300
+Epoch 0: | | 13189/? [2:05:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 13190; scene = ['ee4135cc9fddf6b0', '00336da5ecce4cb3', '686fc9257c8fad1f', '180cd3034985cc24', '1a81dd5de456f254', '98b525bb4a063f5b', 'ed02f848dd02d61f', '094f8c7e2d09a79b', '5516acbfaeb3c455', 'bbdfd0941d4d279d', 'ff909d460f2ea5a3', '6185798eba1315d0', '74376eb028a5ffb4', '45a8384ceac2792e', '411cd9753a82d34c', '18d6c850158b4165']; context = [[2, 34], [16, 61], [22, 54], [163, 207], [23, 69], [6, 38], [33, 75], [45, 82], [9, 53], [56, 102], [1, 44], [9, 47], [5, 51], [2, 34], [110, 148], [117, 158]]; loss = 0.023992 low_pass_filter = 0.300
+Epoch 0: | | 13199/? [2:06:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 13200; scene = ['9fd59b650e13ca92', '5807e404a598a0b8', '68c3107b95d00542', 'a212e7b4ef90cba7', '7ab3467d71486fcf', 'a6c70f7816a833ed', 'f5760f5bb83216c4', '8c847be312ef6f7c', '636d5873a32235fa', '3e05de98609eb531', '4666c8dbed232754', '6627158f8afd52d8', 'ffeaf3cac2d50a3f', '90627bdb5d03335c', '94a0f9c12cb65e4c', '5fd6fcf6769c4788']; context = [[21, 58], [8, 52], [28, 72], [14, 53], [32, 79], [33, 66], [17, 55], [123, 167], [8, 50], [3, 40], [29, 66], [3, 41], [25, 60], [97, 141], [68, 111], [143, 180]]; loss = 0.028940 low_pass_filter = 0.300
+Epoch 0: | | 13209/? [2:06:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 13210; scene = ['a2dbfc443c201a0a', 'd50e7c48f102d70e', 'bbec698826707bcd', 'e66860cc136f6424', '61827b8206bace2b', '0dd89c7680c86b9d', '31872a4e7ae8faf8', '346dc3636147f48d', '3bfec395b8c94681', '053fa3b31bd31cf6', '01dff3e73e135695', '4afa06236618dc34', 'f1107a1bee7889a2', 'b708eb4026ae8eec', 'b783fd026ee69b9b', 'ac9a1770e4ceba74']; context = [[114, 149], [21, 54], [72, 115], [19, 55], [0, 38], [14, 52], [23, 60], [51, 97], [3, 48], [61, 103], [69, 106], [17, 61], [100, 137], [0, 40], [159, 192], [5, 43]]; loss = 0.030137 low_pass_filter = 0.300
+Epoch 0: | | 13219/? [2:06:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 13220; scene = ['f1aed96a3877dc93', '524fb31ac3c4c6e3', 'cf0bd6b91722d169', '2e7ce89b626118f3', '70015b090d2a010f', 'eda5afc31e72fa07', '5fcecfbec64b8d73', '200d089aa97c703d', '23ff985b834d45c7', '652c66200c9455c4', '6c2064d3a48af4f8', 'c8e4353672f44787', 'a26423d875c0d5ac', '0d09c2387300dafa', 'efcab7b049eeac51', '5502065c96e0dcb5']; context = [[6, 53], [23, 65], [33, 79], [57, 102], [20, 55], [60, 92], [20, 63], [111, 153], [16, 53], [0, 44], [167, 201], [175, 215], [74, 114], [49, 88], [118, 155], [136, 179]]; loss = 0.028981 low_pass_filter = 0.300
+Epoch 0: | | 13229/? [2:06:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 13230; scene = ['87f1e7486245b241', 'de0d6a8a41cb09b8', '4e3112764dbd9862', '36eeea12dfc36430', '74e8bbc4737ef761', '9de4a2f511920a69', 'c3120b358e2ef0eb', 'f46ccfe3474b9dca', '61db6faa8976e059', '24fdac454bc8b3b0', 'd14f895ef004feb7', 'd68d3f0ad69e8ab8', '796064d2460d5507', '3177edcd703f2ada', 'd625f06f1ca09d8d', '9335a49eaf704374']; context = [[19, 63], [38, 85], [95, 139], [16, 60], [25, 66], [26, 70], [98, 137], [13, 50], [27, 69], [52, 93], [34, 76], [83, 128], [8, 50], [0, 34], [18, 55], [7, 43]]; loss = 0.031099 low_pass_filter = 0.300
+Epoch 0: | | 13239/? [2:06:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 13240; scene = ['7400bbcba57af668', '53db70b63ac3990c', 'cc8ca5db181e8bce', '321daaf7850e7d74', 'dea5bd0f77069f72', '65cdd012231a757c', '8ac83ba3156df8d9', '0ea852338a77c84d', '9890a01b883b8cbe', '83559529fc525a03', 'e62ee8ff4179b4b6', 'c7729ec50d323a67', '2d17040e1efd14f3', '066f2d93ea35667e', '6c52c204d0fe9f7f', '5859921034bf353a']; context = [[207, 251], [81, 115], [51, 85], [116, 163], [53, 95], [198, 237], [63, 101], [5, 38], [10, 47], [20, 53], [25, 68], [75, 117], [63, 106], [105, 140], [63, 106], [9, 51]]; loss = 0.032043 low_pass_filter = 0.300
+Epoch 0: | | 13249/? [2:06:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 13250; scene = ['a58982a3ce680e24', '6a29509f2445af0f', '38b83c7b78639e3f', 'c77a808062342099', '0e72268501544770', 'c154a6957de15e6a', '4d347b9ec45c4a8a', '454ec1076e5c68b2', '95387090e0043daf', 'd39f9e760c65086e', 'd2eaa5c3772c2ba0', '55ea566a0298d91f', '1c5523bd8867d068', '7ca371bda254ed80', '2de7f58f5e033b42', '90b7a1054476cbe1']; context = [[11, 54], [0, 33], [53, 87], [90, 132], [12, 48], [51, 91], [9, 48], [64, 107], [144, 177], [54, 87], [66, 104], [147, 186], [3, 39], [15, 51], [11, 53], [19, 59]]; loss = 0.026532 low_pass_filter = 0.300
+Epoch 0: | | 13259/? [2:06:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 13260; scene = ['aed37e3fb2987d20', 'c77420b51c2e86d5', '7e9532ad39a6f4af', '35be366ea8fc6899', '3dea1f0782724e2b', '7eaa23d04951ffe6', '21cdb061965f9b4b', 'a679f322e22ef3a4', '319f501207f10fa4', '0713aabe3917739d', 'be553334cc0aecbf', '3c4c974cb4c99ec8', '3f2972e34f9dd554', 'f9835f45bbc6a4fa', '3e74bba8632c9324', '6c752d1521988682']; context = [[212, 247], [21, 54], [42, 89], [12, 54], [28, 67], [26, 72], [2, 46], [30, 77], [71, 117], [77, 121], [92, 125], [158, 197], [7, 47], [35, 77], [51, 98], [123, 160]]; loss = 0.026970 low_pass_filter = 0.300
+Epoch 0: | | 13269/? [2:06:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000train step 13270; scene = ['01de07e7daadeef3', '244b80df38f14975', '6e81ca0e354790fb', '5ec323891006d34b', '03f58bc0add4bb64', 'f650d13792230fd4', '91583403fde33a20', '96b0b1c4e87606b6', '5bd9925b916632d9', '1471a5fdc5bd5d6b', '10a430cb5b580c97', '513aa200a2b07a1e', '9173a0f0f9fbfafd', '077a814db8619777', 'd1ebaa99e640cd7d', '0533d23dfb17f17b']; context = [[14, 54], [0, 34], [1, 48], [2, 42], [196, 241], [12, 52], [52, 88], [70, 110], [8, 52], [34, 69], [48, 83], [26, 66], [0, 32], [75, 117], [37, 80], [109, 151]]; loss = 0.028448 low_pass_filter = 0.300
+Epoch 0: | | 13279/? [2:06:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000train step 13280; scene = ['d0c8bd037dd1a8ba', 'ac9aec32ea6234c2', '0032c663bb6d838e', 'be3290ac59571445', 'afd79cf17dab3e39', 'ca1925532ad236a0', '4762616d9149433e', 'ac090d5fdb989475', '74cf66be9d66c8c2', 'ff9879889b2fc896', '5fd4e49b87e4a570', 'cf5a9d93df10f156', 'ab0df7dfba225813', '59debacfacac8c12', '6a8abf8024d445e7', '6ceef29d3cd6caf9']; context = [[105, 139], [0, 39], [17, 51], [8, 51], [82, 127], [18, 57], [173, 213], [66, 113], [34, 74], [3, 46], [0, 47], [61, 100], [0, 32], [0, 35], [1, 47], [1, 35]]; loss = 0.024985 low_pass_filter = 0.300
+Epoch 0: | | 13289/? [2:06:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 13290; scene = ['0e29f4ab6e560718', 'b90e6edbbd3c8977', 'ba03cc7656f44008', '61281835a0db58d6', 'a058387e70a3e4dc', '67e5ea85e84eb456', '7023a23b1f43a8f7', 'a9b3f434c7a74a40', '71123d626135fbfd', '0e5a11b16e833133', '5928902d4e5c208b', 'ad1b0a314fd140e6', 'ccd9f68bb34bbff4', '5198bbd75640b179', '6f61d916513afe2c', '04d184f9c745910a']; context = [[4, 40], [2, 42], [3, 50], [9, 52], [13, 59], [56, 99], [42, 84], [40, 80], [5, 46], [87, 129], [59, 93], [10, 50], [226, 267], [15, 60], [37, 78], [36, 82]]; loss = 0.028762 low_pass_filter = 0.300
+Epoch 0: | | 13299/? [2:06:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 13300; scene = ['ad91b5890f8cd86f', 'b3bd757032c06692', '52a73c0beebbd06a', 'e291858411a38891', '59c8185edac612bd', '524cac36a2545b6e', 'b73ca7a033be2fe5', 'e8b4e52e3f875679', 'e623a0ea7754acff', '54892db9883bdeb2', '26e28d2886638bf4', '1b2463f9d2759073', 'e647d3dca9afa2d4', 'e3f69d6b8251e4a9', '2df270a308fce16a', '5ae12f0ee3f7ad6f']; context = [[28, 71], [28, 75], [37, 84], [5, 42], [121, 164], [32, 64], [28, 65], [39, 86], [144, 184], [72, 117], [21, 64], [57, 91], [28, 64], [18, 61], [40, 73], [22, 64]]; loss = 0.026491 low_pass_filter = 0.300
+Epoch 0: | | 13309/? [2:07:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 13310; scene = ['27cc9e8e5d628dc3', 'b0a821041e945fb5', '35755b6118b6d717', 'f8fb59071f05cb6d', 'b4afa5f85689421b', 'e47634b0f5f5e6ff', '00cdf8750f5182cc', '974f8bf4f55b941b', '06021e71c89de687', 'e04f7fb189a186f2', '7aec8305761aba3c', 'c7ff883d4ef56b7b', 'ec6e7c0c29cccc86', '2e56f864030ef8d7', '31acb3482cabe228', 'bfee9355cfa1bf11']; context = [[109, 156], [155, 192], [156, 188], [5, 48], [38, 79], [33, 68], [60, 103], [0, 32], [45, 88], [158, 194], [189, 233], [177, 223], [42, 78], [18, 55], [47, 95], [43, 90]]; loss = 0.028279 low_pass_filter = 0.300
+Epoch 0: | | 13319/? [2:07:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 13320; scene = ['eb11a3065fa51c18', '271e98f377d9979a', '2534607529c2b18f', 'ca894ae64063abe9', '2c5110884efb7b8e', '2248dfd686c001dd', 'ab96d082e3ebc5f3', '3a394bb7b1240d9f', '6d152b36a2c6b3a0', '0c6a2ce61c921520', '9575639b887c61b5', 'cba7a7869de72700', '9fbb249fd2eaba0d', '627e3c3515df5daa', 'b684311d3a0d4ac7', 'aed476777893fd8e']; context = [[104, 151], [35, 76], [66, 112], [195, 237], [126, 159], [33, 66], [81, 117], [202, 244], [6, 52], [77, 118], [4, 37], [19, 58], [6, 51], [23, 62], [137, 174], [62, 99]]; loss = 0.024998 low_pass_filter = 0.300
+Epoch 0: | | 13329/? [2:07:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 13330; scene = ['a8f16a0f9e66da3a', '6f097566ab5011da', 'dbcf7e96dd9449e7', '81940f462ed20fd9', '9b44d7f7f1e76dda', 'f2fbebb2b7cb9d0d', '8059bc76d9f034c2', '474702f1cc9d2dac', 'dc844d908c631b63', 'c9c9a2028bc5e37b', '8610476b7d4b2394', '9f62a023f2d748f7', '413e3b5c119710b3', '7bc220bde1ecc99c', '4edda19fc6bf05e6', 'a78b0452a2d05f18']; context = [[110, 142], [37, 77], [26, 62], [93, 130], [109, 150], [33, 75], [44, 79], [3, 46], [204, 238], [91, 135], [21, 65], [171, 211], [0, 32], [11, 49], [66, 109], [156, 203]]; loss = 0.026271 low_pass_filter = 0.300
+Epoch 0: | | 13339/? [2:07:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000train step 13340; scene = ['655234c2b421904f', 'd4c8ef2d288fd1bc', '089cbe98ad3beddc', 'ad37a470893adb0c', '79049d915465c4e2', '76f53a277c8e50cf', '4379921e6438fdac', '9e732b6f83edaa38', 'b6bc533cae48ea5a', '472c6da60ce7c148', 'a8d37772aaad1161', '03f0a355552602a5', 'b6eea50d37cd996c', '89680a7f11b75421', '282ff31ba697ef6f', '916cff79bab5c96a']; context = [[23, 67], [22, 59], [11, 57], [21, 62], [27, 73], [38, 73], [117, 163], [172, 207], [14, 49], [4, 46], [10, 49], [4, 36], [2, 50], [24, 59], [35, 83], [32, 67]]; loss = 0.027705 low_pass_filter = 0.300
+Epoch 0: | | 13349/? [2:07:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 13350; scene = ['4813e06ec55ba35c', '29cbd3d1ea610876', 'd81177196427a1d8', 'bbd22864c2c8c4e0', '7d2242665e3a666f', '80ff240cf672bdac', 'a557bfdcbd9558f7', 'e8d5d9efb11ec268', '250c4a4a83bfc356', '547a595ec6671f74', '8290c21ca69361ec', '6fb04fd025ea9cc8', '941a34a5fe903815', '4d2637e39b66f24e', '6bb71ae77f76b7ef', 'c6e7d2560cc98ddf']; context = [[97, 129], [9, 54], [10, 44], [24, 70], [4, 40], [0, 35], [17, 61], [107, 153], [15, 58], [31, 65], [84, 121], [1, 33], [67, 99], [2, 42], [61, 97], [0, 46]]; loss = 0.023765 low_pass_filter = 0.300
+Epoch 0: | | 13359/? [2:07:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 13360; scene = ['c087bcbc6887fb94', 'f7a40f73064a3c09', '4a6fc7a3eda909ae', '7bab8b0d42cf453c', 'a0593f34e6705c82', '9d219f3e05b22cb2', '6664d1ab6ca3f57e', '23ea245052ef54f3', 'ac1189c4dc68fb2d', 'b68cdb4cdd702112', '65cb094aa58e64f7', 'fd1ec3e7d1725c17', 'e91ea9998edd1a3e', 'fba4e3544c47c1a7', 'aec37c0c07847354', '053b8c046d8990e3']; context = [[0, 40], [92, 129], [47, 88], [43, 86], [130, 176], [146, 178], [7, 54], [35, 69], [163, 211], [13, 48], [68, 114], [27, 75], [61, 100], [64, 104], [62, 95], [28, 75]]; loss = 0.032558 low_pass_filter = 0.300
+Epoch 0: | | 13369/? [2:07:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 13370; scene = ['6bfb1c61eb2da4dc', '5be69b4c1416f7b4', '3edc3b3cca12d34f', 'cdb3acdaba0ba837', 'a6806b331efee592', 'be3f01ddef87bd4f', '1e070505986c54a5', 'ba8513b8614bf99a', 'bb8f58743298049c', '1d6150419fe159b2', '9c553c8d306581ae', '263271a1bcb631b4', 'b1f4bd04727375ff', '99a5b8917c62c1b3', '23c5fd8b2ee6b24e', 'dff38aa5c1474f90']; context = [[14, 48], [9, 41], [2, 38], [24, 69], [120, 157], [49, 94], [24, 66], [37, 77], [48, 88], [0, 38], [44, 78], [9, 57], [26, 59], [14, 56], [9, 47], [24, 63]]; loss = 0.026000 low_pass_filter = 0.300
+Epoch 0: | | 13379/? [2:07:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 13380; scene = ['1672c494acdf9a51', '3b5f903cdb3d9583', '4466e384294450be', 'e82f58c638cf3f5e', 'a9aa19912b72f767', '67b48a8ef26faa69', '52ff08cf915f9890', '177ec27d1a094371', '05f68f205088615a', '582e062f22316429', '128f032a71ccfd3f', '380bc7bb1ed99bd8', '6d21f697d6dab0f2', '449ac2d18080fc7b', 'fa604b72bc666444', '1ce715a178ccb33e']; context = [[40, 74], [23, 66], [52, 96], [47, 91], [29, 77], [22, 61], [17, 58], [5, 37], [6, 53], [63, 97], [15, 56], [2, 47], [67, 108], [76, 116], [2, 36], [4, 47]]; loss = 0.025476 low_pass_filter = 0.300
+Epoch 0: | | 13389/? [2:07:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 13390; scene = ['a34da6e33030e973', 'c0e8cd79f73611d6', '55706f538594e6cd', 'd4e65842508bd432', '8db9ff38e05c3ffa', '598eb9b46185951c', '8a92d4c2c42b4064', '11966948be24366f', '46104808b33c09da', '31cf7e908b0609dc', 'ec2738b1381a1fa9', 'c77464166bea1eab', '444ea4592cbe76e2', 'd779cbdf0de8617f', '7dfd0a5df7c0f4c9', 'f9972d12a428afb8']; context = [[39, 79], [122, 154], [42, 76], [44, 86], [28, 69], [170, 216], [2, 34], [48, 86], [4, 48], [1, 41], [91, 127], [149, 181], [1, 33], [8, 41], [0, 43], [131, 174]]; loss = 0.025587 low_pass_filter = 0.300
+Epoch 0: | | 13399/? [2:07:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 13400; scene = ['8fcf794ba892a383', '593292727003667d', '5c872adf4f12de84', '7fca3ecadedf4e9e', '265dcef75191f694', 'b5b2636b0c5a1504', '9edba56f5a9881b6', 'd72247691e33a958', '2d7a65f89d933d6e', '09afd21650f14407', '8fa11a3bc6119a46', '115d1b9b280160d0', 'a6ca18871e71561d', 'b3b3f7695bb5ca32', '9ebccb7e5490c6fa', '4710f8bab2373cea']; context = [[1, 33], [61, 107], [38, 84], [43, 83], [8, 46], [197, 241], [167, 200], [25, 63], [20, 64], [91, 132], [181, 220], [124, 158], [3, 37], [11, 54], [0, 48], [8, 47]]; loss = 0.025540 low_pass_filter = 0.300
+Epoch 0: | | 13409/? [2:07:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 13410; scene = ['34ecd93b461c01fe', '0641f7c79d7f017d', '0eb418885d5c704f', 'ed98faf79d120ebc', '94f7b5c957bc74fd', '9e40d72fc377071e', 'ecb259c1db50ec9b', '074375474c3e1621', '5b9f289a8e65563f', 'cbbe5299030ed27d', '202890a812df9e8f', 'f00e57d3e757b12e', '04221c6266b4fbb5', '1dc0f9200778b6ff', 'b7e287b139583003', 'b1818f89f71d7ede']; context = [[140, 179], [42, 74], [219, 262], [7, 54], [76, 109], [14, 62], [22, 65], [30, 69], [56, 98], [29, 69], [17, 49], [40, 85], [9, 55], [23, 67], [15, 55], [109, 147]]; loss = 0.026363 low_pass_filter = 0.300
+Epoch 0: | | 13419/? [2:08:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 13420; scene = ['d8e11ca62d6188d3', '65e7cc46a70be3c6', 'c5b27945dc2eabe7', '5644c34d7df02333', '1d5e720fbd1a1938', 'd37f8401dc61d4ac', '17b596f17c9f4c61', '0949fc7fd8edf9e6', '2afa66ba3b843b4e', '6be1fce840607d8a', 'f5ec2d727c316a10', '3d3c2c9af14d56e0', '27727baa0d2bab84', '0684f42098862b74', '778eaeaaffc6107d', '83222e191a9467b0']; context = [[0, 33], [12, 48], [171, 216], [42, 89], [15, 47], [3, 50], [88, 131], [40, 75], [65, 111], [7, 43], [20, 56], [3, 46], [4, 51], [11, 56], [26, 67], [94, 136]]; loss = 0.023175 low_pass_filter = 0.300
+Epoch 0: | | 13429/? [2:08:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 13430; scene = ['04b14af3427991e2', '3d66f70770dd1608', 'b96a5af9eca52dca', 'f529fc8ad3a25e7a', '6b083a9908dfc5b2', '7ecbf7f6564ca9c7', '004bd1e952dc1df8', '2578864dce7ca95e', '00b9a7963f9bd9c6', 'c43a51e3fc102e73', '1c2a8dcc9d0b8893', 'd35e04e60d0199ff', '2bc0c1c27ab45ccc', '7715cbb97d4c5712', '596861bc09c3ab48', '67bbca5ca2b592f3']; context = [[172, 204], [10, 54], [25, 60], [22, 60], [18, 62], [47, 87], [54, 101], [16, 48], [104, 147], [52, 96], [160, 198], [13, 49], [27, 60], [29, 77], [118, 154], [44, 77]]; loss = 0.024952 low_pass_filter = 0.300
+Epoch 0: | | 13439/? [2:08:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 13440; scene = ['fe83cdddf24659c6', '9168f179a84dcc90', '4fb63d42b75f83ec', '999d1dc292628db0', 'ceba0c9064ef2075', '2d5886bd890632c6', '93f0ba6797c67f20', '92ae0064b7c18b99', '9c002649b133ed7d', '9122be71240bb162', '32b6934068c002f8', '27ecc84dfeef35d6', '467c7103dccd9914', 'f249fdd072d2d35d', 'f15bac67b7a07933', '9dce78c1dcd85327']; context = [[25, 62], [23, 55], [5, 39], [66, 114], [24, 65], [131, 168], [4, 44], [68, 107], [64, 103], [141, 173], [47, 83], [19, 58], [10, 56], [37, 83], [4, 43], [198, 233]]; loss = 0.027893 low_pass_filter = 0.300
+Epoch 0: | | 13449/? [2:08:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 13450; scene = ['73c81edabd63774e', 'd4cceef2a88adf32', 'd57b42a6459958d7', '8e99ada24006b593', '3a0a8addc38a79d7', 'd3e7e152d9525908', 'a06884b7875e6cdc', '15b71b3a4c040978', '6dcac4b5bfcc0f4e', '636a31235c706629', '6ad8e4b9ecbdee53', 'd2ae64cc58cd5a62', '7ab75acf4337a003', '3f64560e908646e3', '90f05cebbf4a88a7', 'fff13f7f125a577c']; context = [[7, 40], [1, 37], [52, 97], [47, 95], [59, 102], [11, 49], [11, 54], [67, 100], [11, 58], [101, 139], [217, 254], [14, 49], [39, 82], [2, 44], [6, 38], [13, 49]]; loss = 0.028785 low_pass_filter = 0.300
+Epoch 0: | | 13459/? [2:08:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000train step 13460; scene = ['a180673730e391da', 'd13522abd38eddfe', 'df9ba36fbe753843', '30952e0d21bf56ca', '4b5883872c9b860c', 'baf76f04fa2aad10', '2521e8a729b9a28c', '983fe650a925ec1b', 'a5e4dcdb5acba475', 'd3136cedcdc0fc89', '7f0ef9f7cc5983f8', '4d27fb96530fe02b', 'b07961433f13f70e', 'ca1d592f88d47c36', 'b499ea4b505c7fb0', '09370daa74ea41c5']; context = [[115, 150], [190, 224], [22, 56], [7, 47], [33, 79], [25, 67], [131, 169], [135, 173], [6, 48], [8, 50], [67, 101], [33, 72], [31, 71], [117, 157], [35, 68], [10, 51]]; loss = 0.031005 low_pass_filter = 0.300
+Epoch 0: | | 13469/? [2:08:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 13470; scene = ['8a6f6565aa136bfd', 'b8dc72a859facb4b', 'abe30f78eedbc519', '49328b9c29331060', '98765b730c2dec17', '3700d0ae62ced4af', '9b7a094854896bc8', '564a8cb026ae12e1', '7813fb5636484cd3', '80c0d9e23ff5c4d0', '7ab30ef220195ce1', 'a17c834f307ff467', 'f19a009a27a1276d', '74c22eae5c48a79c', 'b2af46dfc30a2b98', '2c3ae6fba185012b']; context = [[103, 150], [63, 105], [9, 42], [36, 72], [17, 49], [1, 40], [62, 96], [5, 45], [55, 98], [17, 49], [110, 155], [145, 185], [10, 44], [51, 92], [20, 64], [89, 136]]; loss = 0.025769 low_pass_filter = 0.300
+Epoch 0: | | 13479/? [2:08:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 13480; scene = ['b636b7788429dbef', '7ccb61ba49c73caf', 'd659c5f5e31efd70', '140aa546a9c90b5e', '52cd3009ff497d91', 'fb4b8547b815c420', '14cb1caa8f185f3c', '09d8152f20999cdf', '0cb2e4117ded4d8e', '749c8153a4063123', '1f61a254477e0f4c', 'e7344d391585afd6', 'df709a9df3c44a6f', '8cd0d1e0b22eb70d', 'f7de70fa3e0888e4', 'cf53b8a78207a9c2']; context = [[26, 60], [42, 88], [179, 212], [65, 101], [56, 88], [144, 182], [15, 58], [6, 54], [56, 104], [84, 121], [30, 62], [39, 83], [6, 51], [7, 49], [1, 46], [16, 54]]; loss = 0.026745 low_pass_filter = 0.300
+Epoch 0: | | 13489/? [2:08:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 13490; scene = ['4f8f62dc3221760a', 'eb7d94559f933369', '350f8b96fbfe50c3', '9211c25e50b2fed4', 'ed7e2f22e2b5ba01', 'b37b076cb25bdb61', '19ad945443df4b64', 'ff4ac4733ea81002', '34890c370bbc5c04', 'd6bf9d28fb3737c3', '4103295ef55c93b1', 'd8f644b537799c00', '567f873d0287adab', '4aa2c53d2ee5cd97', 'a9b8f780c8ebd244', '9116ebaa351e517c']; context = [[192, 238], [25, 57], [66, 104], [28, 66], [5, 40], [2, 37], [130, 164], [191, 224], [12, 56], [186, 226], [51, 84], [20, 68], [116, 163], [12, 56], [64, 111], [108, 149]]; loss = 0.031332 low_pass_filter = 0.300
+Epoch 0: | | 13499/? [2:08:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 13500; scene = ['6e9bd326e863a7aa', '88cde88863b6ab2b', '25ff552826ae9703', '48ac926ceb75979a', '231cee207e92e4a4', 'cb2c08bfc550f0a9', 'abca2a8b2e786913', '00dd81dcd507fcc6', 'd270d12e230b0781', '7243da98de04021a', '33ed1a8648860661', '75c097dde984d57f', '99b90b759ac6e2c3', '239d12ce68670c55', '51a98d30bb4bf974', '7fc78bf5706dbaf7']; context = [[19, 66], [28, 72], [93, 125], [18, 57], [17, 54], [1, 34], [26, 62], [24, 70], [161, 194], [24, 72], [40, 73], [72, 119], [81, 127], [10, 58], [6, 40], [20, 62]]; loss = 0.030773 low_pass_filter = 0.300
+Epoch 0: | | 13509/? [2:08:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 13510; scene = ['5c5315d2f3abf546', '6043f636981b38cc', '0d83113257921da7', '0a03b3ea2b82844c', '60668562d6c87ea1', '9416a7183ed14f75', '4233126da4add0be', '738fb03744b63801', '9b810567be267835', 'fccf9b4668c4aea5', 'a10eab118e2d8654', '7c710ef6368c4455', '0132c785e29d4afb', '9d4c14c422d92f43', '83e1a42fa8e4b9cb', '8f04ddfa3b4e7c25']; context = [[101, 133], [208, 248], [164, 199], [11, 51], [93, 126], [29, 75], [32, 75], [4, 44], [37, 83], [27, 71], [178, 223], [81, 120], [3, 40], [149, 189], [50, 88], [33, 76]]; loss = 0.028200 low_pass_filter = 0.300
+Epoch 0: | | 13519/? [2:09:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 13520; scene = ['1230e8cc8a954348', 'fdc65f83713e9732', '7717f516bd67937e', '46f21028ead1ebce', '2b474d3143080014', 'a1b92e4df90f8df9', '9e71920e58bf6a02', '23fc08656463d908', '71ab9816948406c2', '205de76eec36ffca', 'c1097d7e3b3eb68e', '361407b739d59707', '590d6f715d8edd9d', '623a5216fb75cc8a', 'aff1a276b88f95c0', '457542e5ba786e75']; context = [[20, 64], [17, 54], [23, 68], [0, 36], [8, 49], [2, 39], [5, 38], [23, 61], [104, 144], [45, 77], [32, 64], [49, 90], [214, 253], [81, 124], [2, 48], [103, 143]]; loss = 0.029091 low_pass_filter = 0.300
+Epoch 0: | | 13529/? [2:09:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 13530; scene = ['8719fa7d74daa634', '8024a13b551c34cc', 'a8a2445b40f0ee30', 'c83fa4955ce845b6', '1c7f6e9252a56933', 'f4e169b7394250b0', 'd297538f14da1f52', 'e6ec55219ebe382e', 'ccd70d500f2e2bc9', '0da1ec5684bb7324', 'a806813b8428527f', '2dd4348bf334f7f7', '209aaf944169c4b6', '39de2c74747ce67a', 'f9d09b2e4cbfdfc0', 'b583f64a01c212f2']; context = [[27, 64], [90, 127], [31, 77], [179, 218], [30, 66], [161, 201], [26, 69], [23, 61], [16, 51], [23, 67], [48, 95], [61, 97], [44, 81], [9, 51], [1, 45], [0, 48]]; loss = 0.032084 low_pass_filter = 0.300
+Epoch 0: | | 13539/? [2:09:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 13540; scene = ['18a4502aa1a59ed5', 'ce8e66277c7f284c', 'b5d76d0407dd07a7', '04079c76c9372181', '06fed398baf81309', 'c76aa64f7f4f0967', '13de5b48f1fd60e3', 'ab28dcbaaddc294c', '4db2b26aa4c4277a', 'f2b680eb41354655', '1daa63069244bb73', '90cf0cb82c8be331', '9d7027346728bebf', '9578552743875926', '22d93069253da40f', '6af0855ea67fca57']; context = [[25, 73], [2, 39], [52, 96], [38, 82], [149, 191], [10, 50], [31, 75], [62, 107], [4, 49], [29, 75], [30, 68], [1, 48], [54, 86], [104, 145], [94, 135], [17, 64]]; loss = 0.028291 low_pass_filter = 0.300
+Epoch 0: | | 13549/? [2:09:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 13550; scene = ['3661f99bb52c6d13', 'cb7b53a4b05f6aba', '4184a1246de779e5', 'db7d9e8a2214ea12', 'b0f18cc31444daf2', '8e6f50914c157483', '779f740981453935', 'a94a86b19490f511', 'e6b17da4f5f8185a', 'dd6fa33f1abd3e79', '3f030393b67f422a', 'e6d3fb45dcf5682f', 'be5fc0ef45cefad8', '23f2830afef538db', '7a8f70ff4a5b546b', 'bb210d97a67bbe25']; context = [[36, 83], [195, 241], [13, 55], [6, 54], [17, 59], [45, 86], [4, 51], [2, 43], [28, 62], [188, 221], [36, 79], [132, 178], [13, 54], [30, 73], [5, 41], [10, 51]]; loss = 0.027641 low_pass_filter = 0.300
+Epoch 0: | | 13559/? [2:09:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 13560; scene = ['53211114a875b55a', '84d69a2e8b30531f', 'aed4f9a3b890e8fc', 'd50d58b66f4b1d6c', '6e09af7c60023293', 'b3c9d4f0a127bd68', 'f566db4b34f0d0e2', '678d371ddb5b47db', 'ea2ce6bbc4dcca10', 'bd8d3f1861372fb8', '4fcb9b17624fcfed', '7ca3afb0c40801b3', '6984b45d6c11667f', '94cdd961dda768d9', '6466dd709ba4f21a', '0160440477263b48']; context = [[14, 53], [101, 134], [78, 120], [2, 41], [4, 40], [16, 59], [6, 52], [18, 63], [110, 151], [14, 61], [87, 125], [32, 68], [48, 82], [52, 89], [71, 118], [221, 265]]; loss = 0.030097 low_pass_filter = 0.300
+Epoch 0: | | 13569/? [2:09:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 13570; scene = ['5b9d84d47b1ea410', '75a8c9852f5cae9b', '38834e0675604b7b', '26894d5903d41150', '3d4ae910ff347e3e', 'bf6673b014c4b426', '96e60aa2260cee08', 'e0e22ca4dce43fea', '09a6aff7b9769dfc', 'c842ce5440a03704', '6b49cec2207fb397', '71e42381b4ef3fdb', '2d39f33562b273b9', '6b5a51c67c4657b9', '737840feb893c837', '849834de564407de']; context = [[27, 62], [117, 157], [31, 78], [58, 96], [24, 56], [0, 47], [41, 78], [32, 74], [0, 41], [205, 238], [120, 159], [16, 63], [96, 143], [14, 55], [197, 241], [65, 97]]; loss = 0.029344 low_pass_filter = 0.300
+Epoch 0: | | 13579/? [2:09:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 13580; scene = ['9d4fc2fa0f094cce', 'e762c9f70e3db83e', 'fffb42151ab2e284', '026b2018d1a368b4', 'dd5cc7120648a275', '50bc6fc9fe828039', 'ae0fe2e4c42b40b4', 'ec281daa9b16da44', 'e55fc688b34e198b', 'ecb34e3502829299', '07db10e08f44575c', '1909a0ae859eadae', '737c0cfa31a65787', '57a1c0730778cddd', '122a42c5df06bb9b', '4f32974a69fcd472']; context = [[34, 79], [2, 35], [30, 64], [78, 111], [0, 48], [16, 52], [166, 209], [27, 61], [2, 40], [146, 180], [21, 57], [24, 59], [31, 67], [62, 100], [38, 73], [141, 174]]; loss = 0.031997 low_pass_filter = 0.300
+Epoch 0: | | 13589/? [2:09:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 13590; scene = ['af4b799f345044ca', 'cfcad25f2356c640', '207111788cb523c5', '3b4d02e2e3dcfe71', '10ad97617138c17c', 'a86d099ad374ec59', '3f5c91c54d97b80f', 'a7a82f76bbceea2a', 'f3e22bd30457802b', '240b8f2b7b0b80e6', '616731b2df2965c9', '3d9d988b47e1a465', '15aae076b5f915de', '71647381f3483fa3', 'ed301ea795ca2156', 'f75167ab4259531e']; context = [[37, 78], [50, 84], [137, 171], [23, 59], [21, 66], [65, 103], [14, 55], [48, 87], [9, 49], [54, 92], [193, 236], [9, 45], [21, 64], [18, 55], [0, 32], [57, 89]]; loss = 0.023699 low_pass_filter = 0.300
+Epoch 0: | | 13599/? [2:09:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 13600; scene = ['1b053fb18db58990', '9a132482447cd6f4', '1937c583529b338e', 'dd5bc6ccfdb3c5f0', '67aefd878839c2c0', '2ce027a92d32284a', '11ac6e3e1ff6f5b3', 'd83bddcbe16272fc', 'd94ea379a583aa70', '8fbc71047643e827', '2074f221af3f9433', '6a01e9eeb577129c', 'a640bb4bd9e593c2', '5e263ba95983770e', '8bc1354abb4655b2', 'cc8550b9fff2f927']; context = [[49, 88], [89, 121], [12, 54], [7, 51], [26, 63], [3, 40], [24, 56], [163, 208], [16, 54], [12, 56], [137, 185], [134, 177], [228, 267], [22, 58], [52, 92], [53, 85]]; loss = 0.027214 low_pass_filter = 0.300
+Epoch 0: | | 13609/? [2:09:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 13610; scene = ['89e82ee21c4dd079', '0e38cc0787ed36fe', '23ce480af575d312', '90d1df38cff37e64', '58a5ea5823c5d499', '61c0ff6624e4d350', 'c134e3f9851881e1', '894fea499dedf307', 'bcb6f212ffe46cab', 'ac22f6e38b10a056', '14df881e0bb56d3e', 'b103dbafd2c119f4', '0be71613432d3b54', '2e6e0433942948fa', '3a6fa2bf8d42d2f6', '37b4ceaa6a5ec27e']; context = [[15, 58], [40, 81], [106, 139], [9, 42], [0, 36], [91, 135], [20, 58], [39, 72], [5, 53], [131, 174], [89, 122], [21, 60], [62, 109], [73, 120], [36, 68], [18, 54]]; loss = 0.027733 low_pass_filter = 0.300
+Epoch 0: | | 13619/? [2:09:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 13620; scene = ['feff41b52966068d', '89ffddd7e0050957', '2f7f7a188ae8bc11', 'd33060884405fb51', '2bfcaee1e8879c93', '09f7865faf90c7b7', '0524b5ded4a3f9cf', '89b7ac85c1dd1efd', 'c81663c0b5144377', '060f48781c23dbc9', '5d0bf881b352e015', 'ac848ee37f1a8b39', 'ceaaf2511b34ff0b', 'c9b40b358bf47223', 'e165257746685417', '847a29ef226fb468']; context = [[47, 80], [12, 57], [28, 70], [99, 142], [126, 172], [26, 62], [24, 66], [2, 41], [114, 160], [88, 126], [75, 123], [3, 36], [182, 227], [112, 151], [172, 211], [74, 121]]; loss = 0.028607 low_pass_filter = 0.300
+Epoch 0: | | 13629/? [2:10:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 13630; scene = ['3c76d8218a2e0039', '557c09819530a811', '8ff7592195f6c8fb', 'a856be05423bf9f5', '6b67868d28e30206', 'ef3f7737f773cc67', '91011e70f2ace193', 'ef7c1abe51c2e16f', 'da6908e20bd2044b', '488750a485d29305', '0e571bee404ebce8', '36c9ae4fa8a4aecd', '5b95b1ce1be1b6f5', '85fe0c9de56c57f0', '70a2e0e9e66a41b8', '5b961a7f052e2962']; context = [[5, 47], [128, 173], [124, 172], [17, 64], [8, 55], [19, 54], [134, 166], [2, 36], [2, 39], [49, 81], [32, 76], [55, 90], [9, 53], [60, 94], [14, 49], [74, 109]]; loss = 0.030032 low_pass_filter = 0.300
+Epoch 0: | | 13639/? [2:10:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 13640; scene = ['0b2938b25e166598', 'b5c4997bc9a4e960', '68696737de9d1b4a', '7e286d8ce39e0992', '81eea64b6f0c1746', '8ec097933a323178', '4aa1f09836169bb7', 'a34e639157e4cb17', 'aa8fe22d38d6e8a9', '5077e3080ca06cba', '320239f721b4f25e', 'fe0e03f65ade938d', '2a33a1cd1a911475', '19fc0a7721a0b0be', '1a6582d593f05e31', '1de1180d284c6758']; context = [[149, 185], [28, 66], [1, 47], [25, 59], [29, 68], [11, 59], [42, 85], [5, 48], [232, 271], [4, 42], [10, 48], [77, 120], [19, 55], [68, 103], [1, 34], [123, 170]]; loss = 0.024583 low_pass_filter = 0.300
+Epoch 0: | | 13649/? [2:10:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 13650; scene = ['ef893c260a432434', '4719fa8b7d595024', '1b24d200b5bca5d7', '149e3da8c38033e4', '0e756ca6320830eb', 'bb5dd6d4b42cfa6a', 'a79a87024638c179', 'b7e36b19a7b16f6c', 'd77956ef6cbdf5fe', '6be29a69562abd4f', 'd1655dc2aa093510', 'a2aa880feaa2168f', 'bf0fa530693a0482', '666c37ba7ac3085d', 'e5d56dd99ff3624a', '8ce50844cac30a9b']; context = [[183, 228], [60, 102], [155, 197], [32, 72], [234, 278], [83, 130], [96, 132], [117, 162], [168, 212], [10, 53], [16, 58], [33, 69], [4, 44], [67, 106], [36, 70], [12, 51]]; loss = 0.027577 low_pass_filter = 0.300
+Epoch 0: | | 13659/? [2:10:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 13660; scene = ['5a5e0ed8658a83a1', 'ee53762a915cc8a4', 'a6c6a9b28efa91ad', 'a060ca0345acefcd', '2e43fa7b2f42b860', 'c1aa18b6fbb10587', '90aa0552b3b1f101', '83cf587eb2ccea4e', 'dd17004fbd4dcc42', 'c219d2148d02d548', '22d6bc367304c934', '7f8dde6252e1ed13', 'fc4456fea1c67e5d', '9b4e9190f50db815', '50d7e64b19747fad', '01272cb3e77d7aa3']; context = [[73, 118], [0, 35], [60, 98], [1, 34], [49, 94], [10, 53], [27, 61], [129, 165], [159, 204], [55, 91], [25, 57], [26, 64], [210, 245], [0, 33], [2, 43], [79, 126]]; loss = 0.026945 low_pass_filter = 0.300
+Epoch 0: | | 13669/? [2:10:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 13670; scene = ['cb6fa53ea702a2af', '76eebb57797f6686', '34cfc00abdcd512a', 'f84e10e8aec82922', '57835f1d5104a129', '140c3d5ef7a7552e', '051226ccfe5e094b', '9dcd75331e841483', '10672316482c3ee7', 'b984c6d3cf0516eb', 'ae38fa5c443113ec', '4e5ec1d83b201b8e', '649dace86011dd52', 'd4ee812a17940de4', '252eeea290153060', 'd7beff4d08f7f7c0']; context = [[37, 76], [5, 37], [6, 40], [142, 177], [76, 118], [46, 83], [21, 59], [151, 188], [65, 99], [86, 132], [91, 131], [24, 59], [14, 49], [0, 32], [63, 102], [38, 86]]; loss = 0.026530 low_pass_filter = 0.300
+Epoch 0: | | 13679/? [2:10:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 13680; scene = ['a59923c39bcb4059', '4b703c596b065029', '108fe5e1f3d10472', '28f01050aa6b7b66', 'c13c2d4b3e68a642', '2ce94288c2c257e4', 'fc288d31eaf6d461', '1c9bb80541c4253f', '01f034d17b3cee6a', 'a7bb9bd60c7fde79', '611da23a8ef358ac', '30fdeea829c306d2', '0b49ce385d8cdadc', 'fd9a558bca043974', '17967e4f66c09b0b', 'a230e0de2c7e6bcb']; context = [[166, 203], [32, 72], [4, 52], [28, 62], [8, 53], [7, 44], [52, 95], [20, 65], [91, 137], [21, 61], [28, 70], [21, 59], [94, 140], [18, 58], [26, 72], [172, 219]]; loss = 0.033812 low_pass_filter = 0.300
+Epoch 0: | | 13689/? [2:10:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 13690; scene = ['0c88aeccaf31b2da', '9089aa377445fe04', '35d318276cbd0673', '8a3d2430245597c3', 'b480cb50d296f7ed', '23b750057d2316de', '2eebe05e2a8fdcb7', '04faa68099e8a807', '996373487155cb87', '49eb946c91d4dd52', 'e5c83a76c5376846', '69c6a41c7e51e560', '59db387883f92945', '8cc980bdc453c7ec', 'dcc9c17c7f2bf955', 'bf0fbe377da9beed']; context = [[13, 46], [0, 32], [163, 198], [8, 45], [47, 85], [60, 108], [9, 45], [35, 83], [19, 65], [81, 114], [157, 195], [14, 51], [48, 92], [11, 45], [71, 118], [34, 75]]; loss = 0.026930 low_pass_filter = 0.300
+Epoch 0: | | 13699/? [2:10:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 13700; scene = ['52745202afb6af69', '1aeb9da62091547c', '8d5e57e2ba2c0ca5', '3ae9fa065ce202ba', 'ffa9716058d530eb', 'ca624f0776c05d9e', 'a5d99c0cc0020b1f', '9d1bf37beb04592f', '84af5a6dc02a4fc5', 'fdf5c68e52d40e62', '96bfdf4e989399f5', '1b92ff53549440e5', '54f4ae9238e5d273', '0a0759a2dff47613', 'd1ebd5d89e694609', 'f0faea75c39058fa']; context = [[3, 44], [12, 44], [24, 66], [72, 112], [31, 66], [158, 198], [12, 50], [0, 34], [14, 58], [1, 37], [29, 65], [22, 64], [49, 85], [147, 184], [173, 220], [21, 68]]; loss = 0.028085 low_pass_filter = 0.300
+Epoch 0: | | 13709/? [2:10:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 13710; scene = ['49fd72b56adf9337', '4748fe2cb767550f', '467ce656f484a23f', '8f00ee0979b9f3eb', '94650809b1bfebe5', '099e1ee28f91b5be', '4e9777ce94f7ff22', 'a0cca65da804c483', '9131db90d0d6a335', 'a060b2c8c0b177f2', 'fbeeb97c2581e94c', '6505b95fda3a6fd1', '849449d8ee0fd8d0', '51558f55181adeda', 'eb8b522706c90abc', 'b991599a27d51aa9']; context = [[32, 75], [177, 215], [0, 34], [45, 85], [97, 142], [98, 135], [11, 43], [0, 35], [175, 218], [13, 49], [166, 200], [66, 114], [22, 70], [71, 110], [20, 54], [24, 64]]; loss = 0.024383 low_pass_filter = 0.300
+Epoch 0: | | 13719/? [2:10:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 13720; scene = ['0646413fb401fa78', '920d92758d18c7d2', '4b51635b37f45826', '624071d33b613e9f', '307041f9efced3fc', '6185ce362d4ae1d6', '88f3511845e51ea4', '19c946cf70978488', '32154a1ff3936808', '7825f451d1959c63', 'a4d9dacfc853d661', '1215fa397423d376', '12dea77c68134296', '57ca642cafff9fa7', 'd1f629da3a816c03', 'f3438f9da04db709']; context = [[1, 46], [52, 93], [71, 107], [18, 59], [35, 79], [19, 64], [16, 56], [68, 100], [2, 41], [81, 124], [3, 35], [117, 150], [1, 43], [40, 83], [103, 145], [33, 69]]; loss = 0.027020 low_pass_filter = 0.300
+Epoch 0: | | 13729/? [2:10:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 13730; scene = ['654a4ef182f4e8ae', '2b787547ea496776', '2c38ebf17747a14e', '7d7bf8fc97c29961', 'dfe3cbe9ca43aea3', 'c9ba8f17c6191867', '45ebdd9175b3ce86', 'a48622051ee5dad1', '9a65de132ab2fff1', 'fc6f8e4478f96b29', 'c21a51e62f022171', 'e57a57f50e6a5438', 'e7cb8f00fca8b54f', '8291ffa5d473ed6b', 'aa85f1d551661c8c', 'e8f40e73fd9848f3']; context = [[49, 83], [65, 97], [67, 99], [160, 200], [123, 162], [68, 114], [16, 53], [29, 77], [2, 44], [22, 69], [34, 77], [62, 110], [40, 84], [193, 230], [63, 97], [119, 165]]; loss = 0.027612 low_pass_filter = 0.300
+Epoch 0: | | 13739/? [2:11:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 13740; scene = ['ddeb25acf3565321', '68374bd8e0215d87', 'd281c87258201ca6', '1ecea537488c80e3', 'a20b0fedac9e0cfb', '5b8f2b2fad8a45bb', '7f8baad045c5ca63', '6338d0d353046ec1', 'bebf0fdfe16b9e85', '1d82e9e8625277ec', '0e3c2218affc73d5', '9385417613453951', '2bda64489943db2d', '3dbb1d21f0d5f6cc', 'b29d52ebccddf773', '56e30b146039a04c']; context = [[61, 109], [44, 84], [5, 48], [7, 46], [32, 79], [35, 69], [35, 79], [20, 64], [29, 76], [2, 42], [87, 127], [146, 191], [2, 37], [203, 251], [15, 48], [168, 215]]; loss = 0.027079 low_pass_filter = 0.300
+Epoch 0: | | 13749/? [2:11:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 13750; scene = ['ab55623e70c28295', 'b212c59dbfaf3297', '3645ae12b7ab98d8', 'f40339f8010836b6', 'e370f28f1e330bae', '7ada4c7de8f71c8d', 'a8a3ac1d2eb6f0ed', '91018ee70f12acfa', '2a90332d6786e56b', 'fb71cf5878ba078b', 'fbead9f20140c938', '27a37fe0dbba2157', '3c44c60aed259d91', '5a042ffa11586731', '720742ec46570641', '760c2ac3301f9830']; context = [[53, 97], [24, 67], [8, 47], [12, 56], [11, 55], [1, 45], [195, 235], [23, 58], [19, 51], [59, 107], [28, 71], [58, 105], [6, 53], [135, 174], [5, 39], [31, 74]]; loss = 0.032202 low_pass_filter = 0.300
+Epoch 0: | | 13759/? [2:11:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 13760; scene = ['0f634e30f9e05aac', 'dc866e41ed3eb0a1', 'e101281055858415', '6b87daae30bdc6f6', '18a141667b659c69', '22dd62c957275918', '3bae1a676986c039', 'acf3b9f82ebc7233', '8b06e196586be88f', '072dda93438fc8d7', 'fb8c1bfad4fa027a', '9f082e98ab8329be', 'b7bbb9cf74792c68', '9b19461a244f4c8f', '2dc367efc8ceca81', 'ca04e3dec73c44e8']; context = [[52, 89], [35, 77], [26, 58], [4, 45], [142, 178], [2, 49], [35, 77], [7, 52], [59, 93], [15, 55], [7, 52], [51, 90], [0, 33], [104, 147], [10, 51], [140, 184]]; loss = 0.030438 low_pass_filter = 0.300
+Epoch 0: | | 13769/? [2:11:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 13770; scene = ['859dc6595c9941d4', 'b729998f5b2508dd', '527ced943063938f', '4656d5cf74356b13', '5de70c8b67a14374', 'afaaf63e5f3665ce', '970bbff7c11ada1f', '10b74a67c337afdf', 'e94cda4761596cc8', '4fdc7647bdcf7c10', '4c9476d93b941055', 'bb32c0051917e6d1', '955653d926205e81', '614a86e4449ccd4e', 'e5843dc7e98db0da', 'e12d5da93d04e783']; context = [[72, 107], [18, 60], [5, 42], [33, 73], [8, 44], [48, 88], [8, 40], [108, 151], [9, 42], [42, 87], [21, 62], [44, 80], [128, 170], [81, 118], [38, 81], [23, 69]]; loss = 0.027580 low_pass_filter = 0.300
+Epoch 0: | | 13779/? [2:11:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 13780; scene = ['3e77b386619f10d5', '6cf84fb3bdb648f9', 'fe7c97bd3da46cf2', 'd7cd6e776cfe1fee', 'cadb093187f1b8f1', '161b017c6512e923', '363f5903b1e09ecc', '062968fae9fe0b5c', 'eead71c22d5913d7', 'd013dfb68f701a1a', '11f8143fed4a7bd0', '4436792afd7385fb', '8e24d300a6d2e767', 'a24365e23632fdec', '2cc2aeefc2ed77d1', '9a7b5d280d58af92']; context = [[46, 89], [19, 61], [94, 131], [177, 221], [45, 91], [9, 49], [37, 78], [26, 67], [59, 103], [20, 62], [110, 151], [8, 51], [54, 89], [51, 96], [125, 158], [1, 37]]; loss = 0.025650 low_pass_filter = 0.300
+Epoch 0: | | 13789/? [2:11:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 13790; scene = ['f344839ca7c971b7', '53e532801bd44085', 'afb339803ef3b8e9', '59a2ea0122aa4591', '030d035ba47fecc3', 'd3dddf816450d1d0', '0788ca0723d59c2a', 'af7f730cb84dc631', '41c2debbaa89e15f', '69fc02421193302a', '30cf94f32f17ce24', '6e9be9d2846269aa', '7399298621aa9bd5', '495b8db932e5b9a5', 'fc7fbf683160c6ac', '63cf8013b255e790']; context = [[6, 40], [31, 71], [66, 112], [82, 123], [105, 150], [58, 101], [64, 108], [20, 61], [15, 54], [25, 65], [86, 128], [17, 53], [97, 142], [12, 57], [26, 63], [5, 49]]; loss = 0.029050 low_pass_filter = 0.300
+Epoch 0: | | 13799/? [2:11:38<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 13800; scene = ['6c7342092714b3f3', 'd6b7a7a9b3091886', 'f057b6113f2f4e6f', 'f4df65cad56a10b8', 'f833af59fc33c0d1', 'c390ed5cdfce1076', 'c363f4b694a2c012', '35460445a8778406', '5055bcc3bc958a3f', '43c939b11c5fed4a', '09d8a76ab82bd1c8', '867edbda9bb8ef59', '0d094a1d96c9c1e5', 'bcfff341d1aff83d', '11323607c1d04845', '3d59499ef583eb1f']; context = [[4, 36], [81, 116], [24, 68], [102, 150], [18, 50], [1, 48], [166, 198], [209, 249], [181, 221], [6, 52], [23, 65], [3, 41], [19, 61], [17, 55], [12, 46], [96, 129]]; loss = 0.029171 low_pass_filter = 0.300
+Epoch 0: | | 13809/? [2:11:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 13810; scene = ['b3d2c1f427c25de2', 'fdef1b89d037107d', '1b5f1027ea78e6ed', '13fc8c102970a593', '409bccb490f0a094', '4d5fe5ad660cee05', '04ee6d9daa244889', '665c734dedef60ee', '53cf0ccf9f3cd287', '653bb70e9b1ee3c8', 'f953c1d204bd8b12', '1bb131cb68bb3060', '7c70fa6ac7c7e2f0', 'cb0ed625413a2cc6', '41ff70cc3fc8a332', 'd9d387021859984c']; context = [[15, 50], [59, 95], [9, 48], [0, 40], [48, 95], [163, 200], [9, 47], [52, 85], [45, 86], [239, 271], [114, 157], [78, 119], [47, 92], [7, 43], [36, 84], [3, 37]]; loss = 0.024674 low_pass_filter = 0.300
+Epoch 0: | | 13819/? [2:11:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 13820; scene = ['dd766ad08fec83c3', '38313c7ce5d8fc08', '65fd119cae53be01', '1484e9c4187a562d', '79b01e4345584de7', 'b7f47dac8c0ae90b', '645567ee2438a9bf', '7a06eb9ada098378', '3b85815f3e1df080', '070f0f205e58ec62', 'b0137aff0d639a86', 'efc8b93133b0f6f4', '17675b4e73f05823', '9bbdffac7c93063d', 'c82c5705fa8e6a19', 'c9de4d71fde8bf65']; context = [[8, 49], [28, 75], [17, 51], [2, 49], [4, 39], [47, 84], [173, 218], [152, 186], [6, 40], [29, 70], [4, 41], [18, 55], [3, 39], [60, 106], [51, 89], [37, 84]]; loss = 0.025168 low_pass_filter = 0.300
+Epoch 0: | | 13829/? [2:11:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 13830; scene = ['6fceeb6dbfb1d42d', '6ee2c9a1e111922e', '8673faf0a9d48165', '4c4fb804144e8cc0', '5e00fe8ddb44c346', 'f5a173954e586775', 'feeef6e1343ba933', '8c511adfe1edf981', 'e246fc179798ef43', '8acbada3de9d0256', '1caeaf11a6686a6c', 'ae468714e3fa31b3', '6d5b5729fd856041', '7157599e110e23d1', '348f41557b28f27c', '0e41e1856a93f081']; context = [[110, 155], [9, 48], [58, 96], [5, 47], [24, 63], [76, 109], [5, 41], [8, 40], [61, 98], [215, 255], [52, 93], [57, 104], [34, 73], [54, 87], [73, 111], [37, 83]]; loss = 0.026869 low_pass_filter = 0.300
+Epoch 0: | | 13839/? [2:12:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 13840; scene = ['d5c8690ebede654c', '3a06c662b556f35d', '94eaa93e8ebd8db0', '6f734cb7648a8dc0', '68f5a9c218ae58de', '2ab59b3cd18cf2a6', 'c1b5b7779a98027d', 'd4f9b7f5a436bc5e', '5c140178a8c1b76e', 'bf48f07f09565e35', '864d89232a34ffcd', '1042daa8f8fd2955', '9adc772b1760c9fd', '658d5216501736d5', '39e8cbb0f678f5e3', '7fe66601858b37dd']; context = [[35, 75], [61, 100], [25, 63], [147, 194], [151, 187], [5, 41], [56, 95], [62, 109], [50, 95], [169, 215], [42, 88], [29, 77], [131, 167], [13, 51], [40, 75], [24, 65]]; loss = 0.027935 low_pass_filter = 0.300
+Epoch 0: | | 13849/? [2:12:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 13850; scene = ['84c7bdecb993937c', 'e27642d0ef81a789', 'd58a710d12ee6de5', 'd6e2f78135cb95fb', '594beff70d7255b2', '6dbe13333141d1d5', '294fee707e8d9822', 'f5d3ce7be7de1784', 'ddd8a47a4b3463cb', '6823afb6048d0ba0', 'd151c2c583596f65', '88cd2f72bb3cd574', '96153d298af583cc', '9b9592b7760d78b8', '141516040a08b640', 'b3859fc1eb5d926a']; context = [[28, 63], [7, 40], [82, 122], [10, 53], [32, 80], [1, 47], [170, 214], [142, 176], [23, 66], [6, 48], [9, 54], [28, 61], [49, 90], [72, 120], [152, 196], [63, 107]]; loss = 0.029100 low_pass_filter = 0.300
+Epoch 0: | | 13859/? [2:12:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 13860; scene = ['bd06c66243805d2f', 'cf888eee79e98e59', '8421d1b832751b06', 'e83742a3e43bd126', '1c06aea20d266433', 'd3277a590af7e77b', '62d9c30b7009ade6', '20ad4007f8dc89fb', 'e7cdb81f2a2e7f18', '6f888dc88047ac00', '7d675692ce253ae5', '162c744bcf4469e4', '5c9c06be50b78c13', '04dabeccd47224d5', '006f41ee9800fecf', '44d2f5ae8a130e73']; context = [[16, 48], [52, 87], [31, 70], [43, 85], [93, 126], [43, 75], [90, 123], [9, 49], [90, 125], [31, 72], [45, 83], [25, 69], [6, 54], [14, 48], [17, 49], [78, 116]]; loss = 0.024990 low_pass_filter = 0.300
+Epoch 0: | | 13869/? [2:12:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 13870; scene = ['56ffb64f1ac704c8', 'edb02105a535094e', '53b2d43b7f2a6077', 'de60b52ac3e7875c', '4a13cfcfbfbf8887', '527eac78ac3e3012', '4e70f8c8d569f01b', 'd1543ce8abd3294c', '068d85c0b47f4628', '700759139479b40f', 'f1cfb383e8ffe58d', '9e591049019c2996', '3389d95fe43c8e5e', 'b0acc39faf78464a', 'c21970a30701dfd5', 'd9069c7fde700fae']; context = [[194, 240], [82, 126], [185, 225], [66, 103], [8, 51], [50, 86], [116, 162], [61, 104], [24, 70], [96, 139], [17, 52], [18, 54], [14, 59], [0, 48], [16, 48], [26, 74]]; loss = 0.026079 low_pass_filter = 0.300
+Epoch 0: | | 13879/? [2:12:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 13880; scene = ['9a281760e4332d8a', 'f1afbf6f673bac06', 'af339c9b95c07920', '3f5020e5dc8240bd', '6b22c6f4e8d8e300', '7fc6a4aef5aafaa7', '754711913b00c193', '23c7b3f8eb89fc63', '35f4dafa34f48b8c', '7a5fc640b57dbdf1', '56364f463c09b793', 'b3c3cf7f3a66f3d4', 'df78723619969e5f', 'bf9d82851f3b3cb7', '170ba14a3cafd160', '18c3f352c7d6dc92']; context = [[22, 59], [0, 36], [152, 193], [27, 71], [126, 174], [76, 124], [25, 64], [23, 69], [15, 61], [73, 113], [53, 96], [122, 155], [1, 42], [12, 57], [20, 66], [84, 117]]; loss = 0.029633 low_pass_filter = 0.300
+Epoch 0: | | 13889/? [2:12:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 13890; scene = ['a9909b47ff5dd70a', 'd9314cc976dfa779', '49bf7713961a7248', 'c385bb313dbdd58e', '0ab530d9a633759b', '6eaf25e955229c09', '1d83764e77e159d8', 'c39f1a9a73797efe', '6b0d274033a5e77b', '00a9f110ad222aa4', 'aa62a6ac70b80789', '7713ce831ffa7df9', 'a28f806c4f91b310', '1c32325abe22ac6f', 'c7329bdb7df9f49e', '28d2f24cc7e2fccb']; context = [[11, 50], [35, 70], [73, 108], [13, 53], [35, 75], [4, 36], [31, 65], [11, 51], [60, 98], [55, 89], [8, 52], [32, 66], [68, 107], [78, 125], [7, 52], [11, 45]]; loss = 0.040263 low_pass_filter = 0.300
+Epoch 0: | | 13899/? [2:12:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 13900; scene = ['8d1277d3bb07035e', '2cf0df5ede50bd1d', 'c472a0ece0937100', 'bedb0dffc6d80b4e', '1f4ff72d26fbd071', '62aee613a1a82b79', '12d54b02fe9d16e1', '568246aa43b60985', 'f896f057f530ebce', 'c2e363674f808d28', '15bdffd46ed3c134', 'd3b0bdaf452577d0', 'f77a260233eb16ba', '6bb7559f2431738e', '33e9961fed513e93', '95479ca25e2d955a']; context = [[126, 163], [41, 80], [3, 47], [33, 70], [102, 150], [66, 110], [44, 85], [26, 75], [77, 123], [20, 66], [13, 60], [86, 125], [6, 41], [2, 35], [119, 157], [7, 53]]; loss = 0.026116 low_pass_filter = 0.300
+Epoch 0: | | 13909/? [2:12:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 13910; scene = ['f07a8be5e54b332a', '55d8b80f7cc186ab', 'bc8eb67c9d7fb4f1', '36853991baf0f696', 'dc988e289b069887', '36c6ba1b40a771c7', '1624633f39dffe7b', '99c819b8b500ab78', '304ce12451fb8819', 'f50f52c1c90097f6', '102ac7b6c3347d91', '6256e7117abcbb67', '3c6ba750a6cb5a32', 'df210f03ca47c5d6', '207458446fc799cc', '0fa6f64334a3de81']; context = [[2, 37], [24, 72], [47, 83], [158, 205], [44, 85], [16, 51], [0, 35], [16, 50], [99, 134], [2, 51], [140, 182], [21, 56], [20, 53], [37, 74], [100, 135], [15, 47]]; loss = 0.022804 low_pass_filter = 0.300
+Epoch 0: | | 13919/? [2:12:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 13920; scene = ['04e7f97215df7078', 'eb91b53e213504b8', 'c690f7b93b2b75c5', 'ab2702d087f34a0b', 'aae6ab41f8da47ef', '23c1dc4217afa596', '3099db1bcfd60a5f', '6854feb86203e9bf', 'a5e4dcdb5acba475', '4b5883872c9b860c', 'd13522abd38eddfe', 'd3136cedcdc0fc89', '983fe650a925ec1b', 'df9ba36fbe753843', '2521e8a729b9a28c', '4d27fb96530fe02b']; context = [[9, 45], [15, 50], [108, 140], [46, 84], [0, 44], [23, 61], [78, 115], [92, 139], [10, 43], [35, 79], [1, 39], [5, 47], [61, 107], [22, 70], [34, 76], [40, 72]]; loss = 0.029810 low_pass_filter = 0.300
+Epoch 0: | | 13929/? [2:12:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 13930; scene = ['c31c79f118bf1526', '8b059787c5dff034', 'deed1be47150b1f9', '60680008495d87a1', '4aa10f2a675ba1fc', 'd80f75c505582b17', 'a8e31e388f09de2a', '20eea6e0a91b2cd5', '76621f74252ed3cf', 'ae12457eb84c3109', 'b212a26fcbd831b1', '09084445f13c2ecd', '1e4b301e3edb5c73', '75a94c46c20c6c93', '15cdc58fd7076c73', '8df6a8f9f01e468c']; context = [[15, 63], [7, 51], [42, 82], [147, 189], [33, 73], [2, 44], [0, 48], [79, 125], [83, 127], [56, 90], [0, 35], [38, 74], [8, 49], [38, 84], [29, 73], [6, 43]]; loss = 0.027140 low_pass_filter = 0.300
+Epoch 0: | | 13939/? [2:12:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 13940; scene = ['fa3c714f9feb0ca1', 'd99eaa0cc001ecca', '32853e04e84e9242', 'fdc8b395582432f3', 'b4297c92de82ba23', '6d26732ef60b81a3', '55500b9b8aa934a1', 'dbbc84703e42d174', 'a9a85280b420694a', '7a7bcb2dfd3f9ba0', 'e1730179fd86e4c0', '5eba0adf88b41a12', 'af342e32f4c696a7', '844f5ac80c18d101', '97c5606fdea6e732', '2765f5d2bd45f599']; context = [[56, 93], [149, 187], [19, 55], [13, 55], [33, 68], [59, 106], [78, 121], [9, 47], [43, 78], [100, 142], [15, 59], [113, 157], [8, 50], [0, 39], [6, 53], [11, 58]]; loss = 0.029055 low_pass_filter = 0.300
+Epoch 0: | | 13949/? [2:13:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 13950; scene = ['4be7b2dbfbb85134', '069c4f8d7a3225b4', 'bd834d7c62374c59', '4239b3c0bca9c8dc', '5d3751961c92953c', '63ea3195b2c0c4ba', '2ac05e9d999a0606', 'f6b4c51274377db3', '6daa1ca4f0955baa', 'f1a7d46e25785471', '69a6e3951e138ca8', '9e70ce8046bae357', '781189313a86b8da', '4c80bb26bc9a9842', '30d0ff523ab86200', '75fc9c01915d3371']; context = [[126, 172], [17, 58], [10, 59], [11, 48], [46, 94], [56, 100], [120, 154], [32, 79], [1, 50], [83, 129], [39, 71], [42, 81], [190, 229], [81, 114], [110, 142], [148, 184]]; loss = 0.033540 low_pass_filter = 0.300
+Epoch 0: | | 13959/? [2:13:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 13960; scene = ['00ab0ac739885029', '5fd7d07c2248dac4', '195e52b808cc5f7b', '01d70424679d81b4', '80c56b76ba0f1594', '46a6f7a7a496e0c0', 'dedbccf1aa181b02', 'c377c3e9c9d3a658', '7264da2e5617c4da', '3fe81e368cf1011e', 'e9797b1d62c1bdc2', 'b8062aaa7a76eff2', '75299e01a10d0b2d', '49362275159e338b', 'e8f6e95b1ed22c4c', '3c23951861654d1e']; context = [[15, 56], [0, 32], [27, 73], [11, 51], [19, 53], [33, 76], [72, 119], [20, 66], [39, 74], [5, 45], [129, 173], [11, 52], [111, 159], [136, 172], [215, 261], [18, 54]]; loss = 0.025863 low_pass_filter = 0.300
+Epoch 0: | | 13969/? [2:13:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 13970; scene = ['699bc7dbd0bcdaec', 'f0bda6f91712fd5a', 'ad2bddef36995b31', '646a74f178afb3a6', '071eb67ff13bf80d', 'df74597c3957bd8c', '16c47f696bf6293c', '1c71ba8b64ef1410', '0d89dfd83ed81e71', 'f84e36c0bc4eaf18', '74b37d0f4d16f872', 'e5a9f9a576763b76', '83de8bf91d2069d5', 'b58e1b0c8b1c24f6', '4115171963f2be75', 'a385440bff1c331e']; context = [[7, 50], [230, 265], [50, 85], [17, 64], [89, 127], [36, 80], [223, 268], [100, 133], [100, 137], [9, 58], [30, 76], [15, 49], [17, 49], [16, 59], [15, 64], [8, 54]]; loss = 0.025502 low_pass_filter = 0.300
+Epoch 0: | | 13979/? [2:13:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 13980; scene = ['47bfcaecbdf0a8ed', 'de2eea66c91ef9e5', '357b0a1d803c82ff', '7a4239da3cb26acd', 'af272bfa02b080e8', 'efb539db983ef4b7', '08c3520589a45dff', '124032ee98cb36a2', '279f168a03bf8e5e', '2ec139b2624efd60', '20c3a99f33ff0958', '3b4d3b652525f84d', '6c22c1f20601e2d3', '4c2189cef8afc008', '13b739351d44ebc1', 'ba90ec347bc52286']; context = [[18, 61], [116, 160], [43, 88], [13, 62], [92, 137], [40, 87], [46, 84], [224, 273], [160, 194], [1, 34], [9, 54], [128, 164], [25, 72], [6, 41], [19, 53], [15, 64]]; loss = 0.029587 low_pass_filter = 0.300
+Epoch 0: | | 13989/? [2:13:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 13990; scene = ['a0e4abe253996ea2', '9abf680c0ea74b98', '71f80e4a8d79031c', 'ec89cb249053a4e8', 'bec452193584d1a3', '1f94351ad6a1338b', 'd5074acf0e20994f', '92f5432cf00fa4b6', 'b12fc4e65b54767e', '2a95182b4cbd572c', 'd7ebd02f7393cb5d', '641b0fd980f31a43', 'a98e531a5476b090', 'a098120648ef79b9', '86e7448e46eafff9', '01d7bb5fec91c594']; context = [[31, 72], [116, 159], [1, 37], [39, 87], [6, 51], [15, 50], [13, 53], [84, 124], [30, 65], [1, 34], [215, 249], [67, 100], [41, 80], [80, 128], [18, 51], [49, 90]]; loss = 0.026281 low_pass_filter = 0.300
+Epoch 0: | | 13999/? [2:13:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 14000; scene = ['627b0865de219721', 'e834fab2208f1db4', 'f287b42b0894a220', 'bdf3783c8da8d447', '077bfdb2a9b08b5b', '7511aee8902bccd1', '191836b21424305c', 'fd8f13ec5e0af26f', '3190ffc912868c70', '20ccfe317b497829', 'b955173d519e9fa5', '84bc0c3aee58171b', '8b1ff63cc4865447', 'a5ba0427831f1af5', '29bed4cfc0bd622d', 'dd2e4bd9af9c8fc7']; context = [[1, 40], [32, 73], [8, 57], [78, 111], [1, 37], [40, 80], [14, 52], [11, 52], [41, 86], [43, 86], [12, 44], [18, 63], [28, 61], [130, 166], [0, 33], [12, 57]]; loss = 0.031339 low_pass_filter = 0.300
+Epoch 0: | | 14000/? [2:13:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000validation step 14000; scene = ['395f5ae56e94e344']; context = [[9, 58]]
+Epoch 0: | | 14009/? [2:13:38<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 14010; scene = ['9cbe071e966cc8b5', 'e151d6aa396bfd1a', '5c4e65ef43430b11', '62b96c0759cafb76', '24fdad2594ac7d96', '2c59a0d732f7a328', 'c5dbe4079d2fca26', '4c5184069a65f0b5', 'c538e33226d65989', '8bc85fdaaf8e8473', '80fcb13c8b18ee23', '9c81979412763fc5', 'c2b5ea21776f36d1', '838294ac1983543d', '2519040c459aac63', '28ea6096b062a3c4']; context = [[154, 189], [14, 56], [150, 187], [9, 50], [38, 82], [8, 55], [42, 76], [10, 48], [27, 60], [43, 76], [21, 69], [55, 104], [92, 138], [16, 56], [37, 72], [65, 105]]; loss = 0.026373 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 14019/? [2:13:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 14020; scene = ['88c6dd400bd1a841', 'a8964dbe9bd1945e', '794d1ad842fcfa28', 'a34d97a9bdae3aa1', '94a5f9c34755c629', '1ea3205d7fb87f3e', 'fd19a3e4b1433dfe', '33713bd6ed0d6848', '5832b4ee7ad1000c', '47569a0a8b03cf52', 'b1a53b2f0ca30ce5', '107d979e758b8ec6', '50ee87260cc88f0e', '7f50766e4ef0d24a', '4183dff8cb12644d', '0bc8cc9ea82a89cc']; context = [[5, 42], [102, 151], [60, 93], [54, 97], [27, 67], [166, 205], [4, 52], [91, 123], [94, 137], [36, 76], [23, 72], [32, 75], [26, 61], [21, 53], [0, 40], [73, 121]]; loss = 0.030698 low_pass_filter = 0.300
+Epoch 0: | | 14029/? [2:13:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 14030; scene = ['0c2ce688132e3ccc', '550898fbe362b272', 'f9ecef329d8da290', '88442d4eae4203fd', 'f5bb0f2ae562dd42', 'e43f122db47a227c', 'c5b7258e5a3d9896', '047b29485a1bbf20', 'e897826c02fc4e95', '949a7f0d7878749b', '4c32929b9bde96fd', '6b93addf4ef63def', '02dbed97d4546d8c', 'fd1262efb99b8fa0', '56ccd6611d066f1e', '51a7fe49c2d5bcf4']; context = [[30, 71], [56, 90], [21, 69], [2, 47], [0, 32], [15, 52], [112, 159], [11, 47], [41, 86], [17, 62], [10, 56], [48, 92], [60, 95], [207, 240], [98, 133], [44, 89]]; loss = 0.034859 low_pass_filter = 0.300
+Epoch 0: | | 14039/? [2:13:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 14040; scene = ['e1213b82a155e7b8', '61fde5ff3ba1a75a', '0a01275bf1cc1246', '040b6137d21c580b', 'f1cf958f0ba8dd63', '02c96bc459a5f9ba', 'f7a49680ebfc586b', '52fc7c5cf52e9927', '85aeab205d5c7e66', 'eefb1b0935312711', 'bb0e27ec75bf779f', 'd21b4712102f9305', '664f022c412506b3', '6e8010eb6c8a9ec3', 'b7ee16db7f015691', 'a02b07e50615b1c7']; context = [[1, 40], [29, 75], [0, 34], [29, 71], [16, 50], [76, 118], [38, 78], [45, 84], [127, 170], [18, 56], [6, 41], [79, 127], [142, 184], [34, 82], [116, 164], [78, 119]]; loss = 0.032428 low_pass_filter = 0.300
+Epoch 0: | | 14049/? [2:14:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 14050; scene = ['17ac30279e61913c', 'f577eebf982cce4b', '0160565c91c8654b', '2107f0bc2f004d1e', 'dee4ac1cafc21a46', '2f311b2bbbeb5940', '692a87e2b7ebc8be', '0779daaad5fd0ef7', '76ad9054e25f6e8b', '1af9d0a563d8fc8a', '338a1e8f27cd7f45', 'd698675238c917e5', 'e0a3c0023e6ad8f8', '35989b45a058ee3e', '0a8af1c0c2360992', '534e2a52aa6a57ea']; context = [[67, 108], [1, 49], [11, 55], [28, 63], [99, 143], [27, 71], [61, 94], [56, 98], [4, 45], [29, 69], [87, 129], [10, 56], [28, 71], [69, 110], [19, 56], [110, 156]]; loss = 0.029904 low_pass_filter = 0.300
+Epoch 0: | | 14059/? [2:14:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 14060; scene = ['b7561d6204cf1b15', 'a23068005a12f147', 'a1706e8f70f3de49', 'd3a7bfe5c137ad23', '2dd48e36c6684455', '512aa006965cd63d', 'b900922107e83b97', '61d115f15bafd71c', '30a0abf380fe788d', 'bc32d5727a11f667', '34a16dba4e2fb9e4', '5f76a5e593ffa271', '5b2faad8a00a31bf', 'db1981bc4f1ce19e', 'e0585142f1602430', '9f55a331f0e02fcd']; context = [[8, 57], [23, 65], [4, 44], [23, 55], [222, 269], [1, 48], [62, 102], [14, 53], [31, 69], [1, 41], [196, 245], [19, 51], [12, 60], [30, 75], [0, 35], [14, 47]]; loss = 0.027173 low_pass_filter = 0.300
+Epoch 0: | | 14069/? [2:14:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 14070; scene = ['ee792446c602a13f', '91d9582339065651', '3120f0ecd82a015e', '0b78a91de3da107d', '7c2c4da050255c1d', '2c9ced3cde2db8ad', '3a95efa051965ee0', '68c86d2d09836cd4', 'db61533e680f5d74', 'b06d428a88f3caf5', '27508406fddac6dd', '85660aac96ec7778', '9315f7d23405549f', '1ac92f4574d64997', '437188c182ae6a10', '9f210154fdb005d6']; context = [[175, 213], [57, 96], [36, 84], [6, 55], [90, 128], [57, 93], [13, 50], [32, 71], [8, 47], [68, 109], [33, 79], [3, 44], [115, 158], [0, 34], [71, 105], [4, 44]]; loss = 0.026466 low_pass_filter = 0.300
+Epoch 0: | | 14079/? [2:14:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 14080; scene = ['672ceef1477a4ee1', 'f83af37ad99c1655', 'd951d136123e72ca', 'a6ff3463269a8294', '4cb3a3bc72da5752', '87a267d2cfa6ef7f', '3428dfbb69ba1c94', 'a2fad117cd0b7b48', 'cb2b652cd7ff57e0', '79beea9672385e70', 'bcaf2ffd6f7195ff', '681de2df4fcb3ddc', '92d48535714e3403', '1d3ae192a6390463', 'ae12457eb84c3109', '20eea6e0a91b2cd5']; context = [[15, 54], [11, 51], [63, 99], [18, 62], [32, 75], [16, 59], [1, 37], [58, 98], [51, 99], [30, 64], [48, 91], [33, 66], [21, 69], [67, 104], [28, 68], [9, 55]]; loss = 0.025958 low_pass_filter = 0.300
+Epoch 0: | | 14089/? [2:14:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 14090; scene = ['f87609d5183676b7', 'a050deb6d503757a', 'c6445c21aad2bcf1', '90f08800a0e95efa', 'cb98996ab8535352', '019e568229df12f8', 'c33d3fe1c7595c4f', '3c0c0cd1458685c1', 'f080fc0367d961b7', '0e38541cd280d9bf', 'da33c1aed3690b98', 'c1ac84811272c1cc', '967e7ddd3837be0d', 'd1d08131c767a91c', '1c5000d78c083775', 'a21c63b3845a0104']; context = [[19, 62], [138, 178], [34, 81], [34, 77], [156, 199], [89, 130], [0, 39], [73, 113], [31, 80], [34, 82], [42, 87], [0, 45], [19, 59], [49, 86], [2, 50], [84, 117]]; loss = 0.021704 low_pass_filter = 0.300
+Epoch 0: | | 14099/? [2:14:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000train step 14100; scene = ['f64446deef2dbd58', 'b5237e6b6780cd09', '71791474009b1187', 'b70ca8062dec1f7c', '5a32c690eedfa60e', '3978af43a7ea01e3', '882efbeb56fce689', '2fe3d2aaf6006108', '52f3bb3cf1f36bf9', '8dbc54ca1f13e7e6', 'cdfc0049ab8824ca', '40c6f5e7838c0674', 'ad766f968b9edef5', '45656906ceb6f2c6', '6da199c6a71373ac', '536b0a79a61e848d']; context = [[162, 210], [34, 75], [82, 125], [42, 87], [63, 103], [79, 127], [11, 49], [33, 77], [19, 56], [0, 48], [72, 116], [153, 186], [62, 107], [92, 139], [187, 231], [5, 42]]; loss = 0.028403 low_pass_filter = 0.300
+Epoch 0: | | 14109/? [2:14:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 14110; scene = ['ba9e1b7dfc1bf5f0', '8442736e7c61cbf4', '4be26e4b5bb4ede1', '0a4e5e726c134159', 'deb016737e2a83ce', '96e4a25757e451fb', 'ad65905845be5ea6', '15489fef442e5c6f', '6acddf780155a0ed', '525c642c5a79c4ee', '879313d352b43a95', 'c05818414f7e530b', '319fb20c1a5fe820', '0fd0ead3c363584e', '54d0782c7dcdfe61', '78b54fa5b5742181']; context = [[1, 40], [0, 43], [51, 98], [48, 91], [31, 64], [9, 42], [29, 68], [68, 110], [6, 43], [128, 177], [10, 53], [54, 102], [215, 254], [56, 99], [35, 74], [83, 127]]; loss = 0.030228 low_pass_filter = 0.300
+Epoch 0: | | 14119/? [2:14:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 14120; scene = ['4e50c1473d01094b', '806a555f5662a925', '3bf0eb7a3be0db0b', 'ef71162fc458a834', 'dbd17f73c27256d0', '0f34ce3de82dd553', 'aad2f8506adbabbd', '0764fc7d1ac310a4', 'fa957196fd3f3d44', 'f2a40abf0e21787d', '33467eeac0c07e61', 'b57b3bae192d05e1', '73defeeacbffa502', '38a709b9a18034bf', 'd6c447047a35a41e', '89cd0268f557d0f6']; context = [[70, 112], [16, 50], [7, 41], [9, 54], [15, 64], [17, 62], [73, 105], [67, 110], [6, 52], [87, 124], [176, 212], [18, 55], [43, 79], [6, 40], [6, 52], [96, 142]]; loss = 0.027473 low_pass_filter = 0.300
+Epoch 0: | | 14129/? [2:14:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 14130; scene = ['66c2ba1c23baf867', '2b2e41a1dc4b35ca', '64287c467f9c455b', '5da0339960419957', '969fa5306305187d', '02031ea8770f3ef7', '8a2acc2f183dcfb5', 'a7c3a68b9b25a47b', '98cb259cd905b8ac', 'c93ec0822f6593cd', '94225e407e4244c1', '8fed5b10f8dcf9ea', 'f58b10fef6de3ccd', 'cd61a8d26b82f9c6', '30a4c264291caa0c', '7e8e4fc21d873b5f']; context = [[17, 63], [21, 53], [77, 119], [49, 85], [10, 48], [52, 91], [13, 48], [18, 64], [36, 75], [31, 71], [188, 223], [8, 53], [27, 76], [27, 69], [14, 61], [0, 38]]; loss = 0.025177 low_pass_filter = 0.300
+Epoch 0: | | 14139/? [2:14:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 14140; scene = ['f6db5e624a9711cd', '3b36165785da926a', 'f656b9d676afee7c', 'e41ab9017ab47823', '282938f90821bdef', 'e7e10c457efb38ed', '37c36f444d6ac350', 'cd6fdd63dcab9099', '61817f6504d1a6c3', '662f42f773e37e26', 'd10eef0641b38981', '7fcf55ab7cf89f1c', 'f7926eb1096de201', '802c190b93463c2f', '04c82b5a0f572349', 'c188823c672d9554']; context = [[20, 66], [75, 112], [110, 149], [64, 100], [15, 47], [0, 40], [70, 118], [33, 81], [58, 102], [51, 88], [47, 94], [6, 52], [50, 92], [33, 82], [129, 165], [44, 84]]; loss = 0.029766 low_pass_filter = 0.300
+Epoch 0: | | 14149/? [2:14:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 14150; scene = ['3e77b386619f10d5', 'fd3cb3bc610ad406', '161b017c6512e923', 'ce76bb8cd4b3a729', '4c8d86a39bb877a1', 'cadb093187f1b8f1', '062968fae9fe0b5c', 'c60a9aac7b3079ab', '6cf84fb3bdb648f9', 'd7cd6e776cfe1fee', 'fe7c97bd3da46cf2', '363f5903b1e09ecc', '5e12f5864963b028', 'c83d1fa5fd934c97', 'ee655ce538e2779a', '118c3c91d5820b5f']; context = [[40, 84], [20, 60], [57, 91], [2, 48], [37, 86], [54, 87], [18, 53], [0, 49], [43, 89], [127, 166], [28, 61], [43, 83], [102, 147], [28, 70], [21, 64], [2, 50]]; loss = 0.025262 low_pass_filter = 0.300
+Epoch 0: | | 14159/? [2:15:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 14160; scene = ['7179e676c405b176', '03b39900285e978d', '2064cdc994318d4e', '2cae9627f30c2c23', '5f2f43c51cd498f1', '29ca12a090c5d6da', 'c13f2d587ae31554', '17f9beb10ab4ba3e', 'd50d7233845eaffb', '2be0a2db028836f9', '2fe3aa52ae31c484', '9d8ed76c73f32e8e', 'd9ba46350c5afe5f', '4634e127286f20c8', '350a508a31e0b121', '2144f1fd5b00dc66']; context = [[0, 32], [58, 90], [27, 68], [23, 70], [67, 99], [32, 80], [10, 45], [52, 98], [88, 123], [28, 74], [67, 113], [1, 37], [44, 92], [21, 59], [151, 199], [31, 74]]; loss = 0.025674 low_pass_filter = 0.300
+Epoch 0: | | 14169/? [2:15:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 14170; scene = ['4655174b7eb8e338', 'eac9cdfc69a9cf56', '1192d55979f272a3', 'cae97ecedd01b9e3', 'bacd58154e400234', '9890ffb19a34f7e5', 'fb5a80a778281287', '48250b1284a72f1c', '4381e4d03da3a2dd', '632ba2d80346eea2', '7b56c6bfe56e39ca', '7d546a90fbf298a4', '0d4a932971029aaa', '566c303cfa6a0077', '85afb31e233b00c4', 'cdc6b6e9d8d362ad']; context = [[28, 61], [208, 255], [5, 40], [16, 49], [237, 271], [19, 56], [64, 100], [15, 50], [42, 77], [54, 95], [22, 59], [5, 39], [0, 36], [17, 62], [1, 50], [123, 160]]; loss = 0.025740 low_pass_filter = 0.300
+Epoch 0: | | 14179/? [2:15:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 14180; scene = ['b733def1f2d6f475', '33cce4b353540cb4', '0223c85e8003b7e1', 'ad7c648e328fad19', 'e5ffa80180a77906', 'a2a6afe0218b9dd4', '046d75590f2a2769', '202a0b47ba9ae6e7', '61a4f86c2f74d224', '45de740754866f93', '63c9e875a467197f', '5f6230d18c679782', 'fe55cd1565d9cb79', '9ceab0f597c2a4d9', 'f6cfc1a7085f3ad6', 'afb74b4aa8e93a22']; context = [[59, 106], [92, 129], [50, 94], [31, 64], [0, 33], [12, 48], [53, 102], [90, 136], [75, 109], [145, 183], [30, 67], [27, 68], [29, 71], [35, 78], [46, 93], [0, 36]]; loss = 0.030446 low_pass_filter = 0.300
+Epoch 0: | | 14189/? [2:15:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 14190; scene = ['1f2c37aec9ad5c43', '9789c9bca500f60d', '157b0fbe05d0d789', '3582b54a8e7095ed', 'b72b05be77fb6594', 'b9c4217d3432b245', 'e13c44ba12302891', '31f36e0248411ff3', '35bfad0493df3456', '047d14a0b379dd2b', '97f997d61d7e6fc7', 'ce2ecb9831a1ad69', '8f8405a3407168ff', '6b88615a41b8d241', 'f8eb2eb62f9a5d3d', 'b534d0f0aeda56df']; context = [[84, 129], [32, 65], [91, 123], [7, 53], [26, 62], [37, 70], [69, 117], [57, 105], [2, 41], [18, 58], [23, 63], [11, 47], [150, 197], [12, 57], [59, 95], [213, 262]]; loss = 0.025154 low_pass_filter = 0.300
+Epoch 0: | | 14199/? [2:15:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 14200; scene = ['0279db3a13466f16', '5c5f3cb0a49b72ce', '12f1a55c604c66b0', '49a7ca8ab07f5959', '863cd9e3c3374c17', '0356f20494f9dc73', '5d078b0df0aba401', '753ad3e1d6a005bc', 'c34a80c8baee9a1b', 'dfbdc15546c94452', 'e5c25f8e979ee3f2', 'f8d97e84b057c5fa', 'f98d30de8dd12bdf', '4f98f2555363f073', '33f73227a2a67557', '4ac08235a21e27a7']; context = [[1, 35], [53, 90], [3, 43], [226, 259], [29, 73], [85, 123], [81, 114], [51, 91], [22, 58], [61, 105], [86, 130], [202, 247], [18, 54], [0, 32], [58, 106], [3, 52]]; loss = 0.026783 low_pass_filter = 0.300
+Epoch 0: | | 14209/? [2:15:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 14210; scene = ['cd552e321923c4b2', '1f2fe0d464f61de0', 'bcbd422c5506815b', '9095922ae071f31a', 'f4e639c0c0c58d2f', 'fc6cc5edd65440c8', '93f34f0d4f213c72', '1c71c8e9e6c71a6f', 'ad0905e8a8dc08df', '744ef2c904ab063c', '037b77f7cc0565e4', '81323576180ae2d0', '3b37f7f58ab83fc0', '497905dfd41aea44', '6107ebfec4cb10db', '5d986af113fbac56']; context = [[13, 61], [14, 58], [5, 41], [34, 70], [5, 51], [45, 83], [0, 35], [0, 34], [1, 42], [122, 164], [21, 62], [10, 44], [11, 53], [126, 170], [6, 40], [217, 249]]; loss = 0.031879 low_pass_filter = 0.300
+Epoch 0: | | 14219/? [2:15:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 14220; scene = ['efd001b0d5127d61', '3d33a7bd6d3df282', 'a57ee414bd946402', '13bf5f055a9014fa', '0e4916077d990d1e', 'b91dfcb3102d1482', 'bbde6840d9d8b008', '788e3f2f61826f98', '9c763036f1d84e18', 'a597e94e50eb917a', '5a2ad43377e9d18d', '7759eccd562145b9', '67e69f3a4701dfd8', '9db02389f1e00f28', 'cfb20f8971e6a591', 'e42929a5ac81d253']; context = [[102, 137], [8, 42], [0, 40], [15, 53], [0, 47], [68, 116], [9, 43], [22, 61], [126, 173], [50, 90], [26, 67], [11, 51], [46, 91], [29, 67], [18, 61], [222, 255]]; loss = 0.052074 low_pass_filter = 0.300
+Epoch 0: | | 14229/? [2:15:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 14230; scene = ['ff7f479807aed527', 'd66caf236dd06338', 'ad4f8fe9d44db87e', 'e5245590cf6cd5fc', '512b6de83df6fea4', 'd7a82aa577ae8a6c', '336296e17134d8a5', '81691434e83125a2', '8fd650e68fb27844', 'deb3e637a2b8d971', '3cc5e07978538c0b', '4bf8e1ae461f5eae', 'c939b1e53eebfcad', 'a0918e81b29ea2d8', '598b1c9d13403339', '73f43de5db04dfe0']; context = [[7, 47], [1, 38], [106, 148], [1, 40], [51, 90], [34, 70], [93, 129], [28, 66], [13, 54], [208, 243], [5, 42], [39, 78], [24, 65], [103, 141], [56, 95], [62, 97]]; loss = 0.025633 low_pass_filter = 0.300
+Epoch 0: | | 14239/? [2:15:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 14240; scene = ['86920e8a33bf80ca', '892d7a83c3b9e98b', 'dc27bfb429117ad9', 'cd6c74ea0440e539', '2918ac9eea470964', 'f3a5f3677b605b8e', 'e5bb63fb3c7ccacb', 'ccc977a72ce800e1', '298b67257e341328', '97c644f0012e37df', '079dfdfb6f34e74d', 'e8a0bf2b39e23967', '5cdedaf7a73ab3e4', '2030baaadd722949', '956021735ce8482c', '1e1d3ee71e56989e']; context = [[21, 64], [41, 74], [136, 170], [32, 68], [52, 90], [12, 57], [0, 47], [25, 74], [26, 71], [5, 39], [56, 94], [17, 52], [145, 191], [37, 72], [133, 174], [49, 93]]; loss = 0.027245 low_pass_filter = 0.300
+Epoch 0: | | 14249/? [2:15:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 14250; scene = ['cd2938c215f7866c', '55dc01f667d64238', 'c76256f508e160eb', '2cd1fefb3b7a4568', '8cfa50d79d888b55', '2c99a90acd0b3767', '92c399964d13a272', '065bf65ebd23b07b', '6d6b7b3c93fa9c9d', '52b45b5c1577bab0', 'ed2440762b713883', '99b45f6ebd69c0d8', '6ebab888069161eb', 'd006b2a511adbf29', '06809cb52e822187', '420795d6a1a2af21']; context = [[224, 262], [8, 54], [23, 58], [63, 97], [130, 171], [1, 42], [71, 115], [152, 192], [72, 109], [52, 88], [5, 39], [1, 34], [205, 243], [16, 64], [110, 143], [37, 70]]; loss = 0.024915 low_pass_filter = 0.300
+Epoch 0: | | 14259/? [2:15:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 14260; scene = ['afd1f0b4fba0c645', 'c50585b25ebfe2ba', '120933c886936b7b', 'ccb4fb4ff1862f97', '0854759c3f66028e', '8461b621f373d04b', 'ea05fe4dc21b53e6', 'db57f8c931011117', '7dfe5f26a43a1ec5', '2a06d961049b4fe1', '083e06ea00de183b', '7d3052b47a5d4cfa', '9d22ef6b551b25a8', '79bdf6f1921b96da', 'fe95b1b2cd2306fd', '6f8c7d10b8feadcf']; context = [[58, 91], [12, 58], [36, 85], [47, 83], [169, 202], [11, 59], [4, 45], [191, 240], [4, 47], [90, 122], [37, 81], [27, 66], [15, 53], [76, 108], [5, 45], [39, 73]]; loss = 0.027110 low_pass_filter = 0.300
+Epoch 0: | | 14269/? [2:16:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 14270; scene = ['9d72fd4253ba8ba4', 'ccd8e7726eb7c76a', 'dd62d63a523acdbe', '91722542cd063407', '6cee4547c99f248b', 'a7957a1e2b7ad909', '982da008194b287c', '107fabf0d1dce254', '63f6e847b2e2a2e7', '80f5da17b4119bbf', '4a0f95a3db913b56', '93e09aeb0a7c54d4', '1045f4f8fd6bdd09', '8d758914077e5926', '93416bc86e84f4c5', '65ea58de7758f8c6']; context = [[1, 44], [40, 75], [79, 115], [84, 126], [63, 106], [143, 176], [0, 44], [129, 170], [43, 89], [9, 41], [173, 217], [22, 60], [20, 68], [57, 106], [78, 115], [17, 66]]; loss = 0.032431 low_pass_filter = 0.300
+Epoch 0: | | 14279/? [2:16:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 14280; scene = ['f02861ed6d0329b5', 'ccf0fb152a3957ec', '63a09885afeaa9ef', 'f2b4a95d85794e10', '6ea74667405e5d34', 'ca36619148db4be3', '496f88184a96ed20', '30dc0c7b9321e117', '250136a25de84c24', '52e151715801a63b', '4be1f99340bb1de1', 'efa5ddfbb9162abb', '28795a4d98abec95', 'a146e529fe29351c', 'c1a2f4b74be3af7f', 'b80411109ad427b9']; context = [[9, 50], [0, 45], [51, 83], [41, 80], [22, 63], [1, 47], [15, 57], [14, 55], [99, 148], [36, 73], [82, 125], [12, 45], [1, 48], [123, 168], [35, 73], [4, 52]]; loss = 0.025130 low_pass_filter = 0.300
+Epoch 0: | | 14289/? [2:16:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 14290; scene = ['57ea9d333a45531f', 'c6d952dc739b9928', 'ecdf96cbc206b705', 'edc95bf3d8125af5', '475c01ee641612f6', '1b65116c3c5c1368', '0d58b951f36e525e', 'f86cf6a67566bbee', 'b095acdded6e47d1', '055474bd0ee8fe3f', '0da66e0b84245e9a', '51906f14ac9f95c4', '83689b78310fab98', '5108afe9f18fa9ed', 'd196dc894157ca53', 'fa114cb02b25cf9c']; context = [[61, 105], [24, 68], [81, 125], [53, 94], [174, 214], [63, 95], [3, 48], [15, 63], [27, 61], [2, 34], [28, 68], [14, 50], [37, 74], [41, 86], [158, 200], [131, 166]]; loss = 0.026671 low_pass_filter = 0.300
+Epoch 0: | | 14299/? [2:16:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 14300; scene = ['81eb6c7798c391a1', '868bba780260c9d8', '276a13f09ec9a0dc', 'de1221dd6506c5d0', '38d897635c61c8c9', 'ae13716dee49ec9c', 'f4559e045f3090e2', '5e56cda42b8a9d7b', 'a2ec0615e2fb379c', 'f95facdccf8cb319', '555f1845dcb38293', 'fc18f51cf62b7fe1', '6f82fc8f2c6cf936', 'da794864ac5ff11d', '83d154863471b87c', '769783c83e98144d']; context = [[9, 53], [11, 55], [59, 106], [41, 74], [26, 68], [209, 257], [28, 76], [7, 40], [5, 52], [46, 95], [24, 60], [1, 39], [35, 74], [35, 74], [156, 199], [0, 42]]; loss = 0.032317 low_pass_filter = 0.300
+Epoch 0: | | 14309/? [2:16:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 14310; scene = ['810baf013fd27f1d', '867c2bb5fab7a6bb', '40e1ec4d9aa2c2c5', 'd18c658cacb360e7', '962ab4451c30479a', '215aa6a4d48d04f7', '1d5beb41beda4af6', 'c043b0c770a81f04', '0b0f20dd486b208a', 'f83541c6c3766a70', 'f5729c1f4eee619c', '7e5756871781609d', '6f734cb7648a8dc0', 'd5c8690ebede654c', '94eaa93e8ebd8db0', '2ab59b3cd18cf2a6']; context = [[56, 91], [83, 122], [10, 59], [36, 83], [71, 119], [7, 42], [22, 66], [1, 43], [12, 57], [29, 62], [0, 42], [21, 57], [184, 229], [18, 50], [96, 136], [2, 41]]; loss = 0.029821 low_pass_filter = 0.300
+Epoch 0: | | 14319/? [2:16:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 14320; scene = ['164c533e5d9d5a37', 'a25e9cea544647b3', '5dba123f9090725d', 'baacf9131d9c6675', 'e78c525a4ed9a37f', 'a5973d629374223d', 'a62fce653d958993', '974067e61aa0d408', '7d69dd54dd98dec6', 'd537424645c19bac', '0b201ea37af17d70', '13315e22e6006d81', '1c34e3c57f481afb', 'd2f75c23ae5bf23c', '305c444f0ac84615', '725e9b2881c14339']; context = [[104, 140], [126, 163], [19, 65], [2, 41], [33, 79], [78, 110], [225, 271], [12, 45], [125, 164], [83, 126], [52, 92], [38, 84], [20, 52], [41, 77], [17, 60], [15, 50]]; loss = 0.029757 low_pass_filter = 0.300
+Epoch 0: | | 14329/? [2:16:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 14330; scene = ['e740e81d6420950b', '6734d3ffb326ccd5', 'c0cf07e5b372acbd', 'a21ecaa051b3c9d3', '4091922e35b9888e', 'b14c7ad01174f831', '358debce281c8f2f', '59db4a6c5b9f2cf7', '1c2cc296902ee8ae', 'df0c5e9e24e7a7c7', '04e1cc8fae1733ea', 'eeb6c11a957a10be', '321585c609c2f021', 'a60716af5ec0e3ef', '1d1a2d85e494003b', '0545f9c5b16ffd1a']; context = [[184, 227], [71, 114], [12, 51], [0, 47], [56, 97], [28, 77], [14, 53], [15, 53], [41, 81], [13, 62], [13, 47], [62, 98], [12, 53], [1, 47], [20, 62], [36, 84]]; loss = 0.028046 low_pass_filter = 0.300
+Epoch 0: | | 14339/? [2:16:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 14340; scene = ['74340c79b94eac7a', 'd42d236f6214408c', '985655fe3f7680ab', 'abc79d2a945b5123', 'b1cb0d294799edbf', '19e2d9003bc31363', '98a8828ad2bd1d1e', '72cd40bf31ccf863', 'cadc22205296742c', '18e4f707e6d47890', '3eae4ba835287803', '7433c844136c5cbf', 'bd234e44bcb453b6', '902df386b320e9d8', 'abaab194e270c8ab', 'bf61bdd94ffde7c7']; context = [[5, 44], [17, 61], [108, 156], [155, 201], [1, 44], [99, 137], [12, 49], [105, 151], [15, 49], [119, 167], [58, 105], [57, 92], [57, 90], [27, 63], [86, 119], [4, 50]]; loss = 0.024602 low_pass_filter = 0.300
+Epoch 0: | | 14349/? [2:16:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 14350; scene = ['658d3f56767f0396', '1387b0d66678f867', 'c25258ec99f0b482', '45042d8ceb9440cd', 'de0c00eac13d6563', 'aca01dbd389eb895', '09baf34837b78dc6', 'ad6f3772864b9f5a', 'ed51eda77e50f68f', 'c944569063a4abf2', '52d261d44166b108', '2f6cba5238438eb9', '0c63cd231163ae00', 'd85224614a8ba749', 'ff772e9eeaa3fae4', '516e761c5402bf7f']; context = [[21, 56], [150, 182], [54, 97], [65, 98], [9, 50], [4, 49], [41, 90], [39, 84], [9, 52], [28, 62], [14, 52], [22, 63], [15, 47], [150, 193], [45, 78], [6, 45]]; loss = 0.025637 low_pass_filter = 0.300
+Epoch 0: | | 14359/? [2:16:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 14360; scene = ['7976cde98101d0fd', 'f8018d4c96606604', '80fa41ff22809656', 'ef186391b3ac7cca', '94ee6bc8d169ca3e', '488e139f9c2b0e81', 'dec605b552086fb5', 'c556de7049d3c0df', '28a7ae9192740d6e', '92322e57dcdad2ca', '3f07b67383b01259', 'd20934bff9f1298b', '8b97a226a5f0dc3e', 'a6a55b3c0ac5e758', '78a6eeddf60f13a9', 'aaea1523d175b491']; context = [[27, 73], [6, 48], [148, 188], [157, 194], [50, 82], [55, 97], [50, 93], [41, 86], [173, 214], [27, 64], [70, 114], [43, 81], [9, 56], [2, 47], [45, 85], [38, 87]]; loss = 0.027552 low_pass_filter = 0.300
+Epoch 0: | | 14369/? [2:17:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 14370; scene = ['1c9f469940116f01', 'dc72e7a087e05c73', '7fdd2c689e0fbbc6', 'd90c624ad63cd48c', '2ae20d03c324d636', '652fa0eb49c99e69', '4abac98c209d4fb0', 'c24195c8d6c4f8c5', '6ef23c788aae182b', '7860f8fb501c44e5', '7b8d9e3dab13cdeb', '244b5c3c3d557a2b', '313c38700fc2d235', 'd35d3ab840625cc4', '5b5997d5f0ce5d59', 'cbacf5f45d250501']; context = [[1, 46], [105, 151], [2, 45], [40, 78], [17, 66], [5, 37], [0, 32], [49, 92], [47, 85], [98, 138], [130, 173], [17, 58], [35, 72], [20, 69], [78, 116], [186, 230]]; loss = 0.028501 low_pass_filter = 0.300
+Epoch 0: | | 14379/? [2:17:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 14380; scene = ['ca39898dc82ac69d', '4f56573f19ad11ab', 'c61660db7b36207b', '6ae3e9482341c6a4', 'b435f997dcef9ccf', '1599edcd7d71cf8a', '9cdefc042c8a1719', 'a867df8dd978e7cf', 'b9cf1760cfe62ddb', 'db49c27889b9b34e', '3fe0de697d29ee3b', '5cc18a73df81d286', '5aa677118a447f4e', '6736bff536cac8cf', 'fe995c4e6d7f7995', '45cb58d7e0b50485']; context = [[124, 173], [63, 98], [85, 127], [104, 138], [136, 174], [56, 101], [15, 63], [90, 129], [212, 246], [82, 118], [18, 55], [0, 38], [61, 100], [14, 61], [26, 58], [23, 68]]; loss = 0.026952 low_pass_filter = 0.300
+Epoch 0: | | 14389/? [2:17:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 14390; scene = ['46bd6752c4ea9d50', '6a350ebce6b44cf8', '2a5f0ea759c4a950', 'a152a4b1f19f25ed', '71a67ae4eccba383', '0764de57c2aac0b7', 'cb68843a409bae9d', '8a78089f2d693689', '92c72363c53e8498', '49780aa509bee9ef', '8dd1e72a7ae2e4fd', '43c62aae5e2a9555', '6b4ca73a9c573e77', 'f129c9f4b2d40242', 'f4c4d2325f11f2f0', '00b38f4cec2b21aa']; context = [[58, 99], [16, 64], [70, 102], [83, 129], [52, 97], [13, 62], [6, 42], [244, 277], [4, 48], [19, 68], [68, 110], [11, 54], [36, 73], [29, 77], [6, 39], [6, 38]]; loss = 0.031142 low_pass_filter = 0.300
+Epoch 0: | | 14399/? [2:17:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 14400; scene = ['b3259b93d42302e4', '21f480a187d23bc0', '2ca282700e445fed', 'e6f7b434df9bfccc', '02974a46356730d0', '9ebfae382689a320', '0de22e4f66f408e2', 'e9f4aac949620b61', 'c81f209b3458fcf8', '619bbe47d821de6c', 'db61533e680f5d74', 'b06d428a88f3caf5', '2c9ced3cde2db8ad', '9315f7d23405549f', '704ce38139b35265', '1ac92f4574d64997']; context = [[29, 68], [131, 164], [6, 50], [18, 51], [76, 123], [213, 252], [188, 223], [115, 159], [38, 84], [21, 66], [52, 90], [72, 117], [22, 56], [93, 125], [125, 160], [2, 43]]; loss = 0.027991 low_pass_filter = 0.300
+Epoch 0: | | 14409/? [2:17:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 14410; scene = ['c798126c9e920dcc', '17e071f027c54b55', '3bb404adfcc380b0', 'aaff3ba252aa4421', 'c3bc207f4af7ad46', '03d4ce90615f67c8', 'e984993558178156', 'c93d526ee4bfcbf9', 'de283b48b16f00f1', 'ccc8e1d1f59a540f', '2b3d0f3383cdbf6d', '408c3d33681fb78d', '25fc725784a63284', '105174be89a2dedf', '18d2d38e04e4510a', '3d3071a3081b6611']; context = [[53, 86], [89, 125], [118, 158], [79, 120], [16, 58], [57, 99], [50, 97], [11, 45], [0, 36], [37, 84], [30, 73], [31, 68], [10, 45], [0, 32], [108, 148], [58, 107]]; loss = 0.030840 low_pass_filter = 0.300
+Epoch 0: | | 14419/? [2:17:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 14420; scene = ['952518da70706c27', '35c7e73002aa5bc1', '0548de5024c713a4', '63e7c533debc1cc6', '394a80a410049b97', 'c7eedc91db747c3a', '3b82424320bc2c1c', 'b981274d6200dee6', 'e3f8c8880b5884c3', 'a0114e2b6cd504bd', 'f3892c671668deb5', '4ac41771a9f2ca88', '778df8c33165eb79', '91c351a53fa9e760', '1eaa7bdc02de4466', 'c85af019cedeac30']; context = [[23, 55], [30, 71], [10, 58], [161, 207], [21, 64], [30, 63], [5, 42], [221, 258], [2, 41], [193, 241], [16, 50], [26, 64], [13, 50], [33, 82], [123, 165], [220, 257]]; loss = 0.032626 low_pass_filter = 0.300
+Epoch 0: | | 14429/? [2:17:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 14430; scene = ['058932b18ff4eb45', 'ca4e725f7ffc5b00', '734862bc9a03b2fa', '0ccc9cf3fa5a88ea', '6947e0be67a8df57', '1b2e22f9be576cf8', '3c295c9512a8226c', '1bd0d323f2ddcaea', '9228a3a70056f6be', '2fb327f393e1a702', '5e71407b69e684fd', '19b6710bb1d4c2c6', '74a96aa1a14517e3', 'cf248bbdd4913d0a', 'efa7c77851e13768', '32eb9f3b07a73e91']; context = [[32, 65], [0, 42], [41, 81], [25, 72], [34, 73], [86, 134], [51, 89], [36, 85], [4, 43], [27, 71], [58, 99], [71, 106], [178, 224], [93, 140], [21, 62], [95, 127]]; loss = 0.029708 low_pass_filter = 0.300
+Epoch 0: | | 14439/? [2:17:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 14440; scene = ['46a2fb45a3fca41d', 'd6ae5f24c3370311', 'be57d24987e263cf', 'fca0eab1caf12b55', '10f56b77ee96005d', 'ec381df8f0ee69ee', '1bb610e8f990038a', '84b26e1469a78914', '3da2aee2f2d1124d', 'b51de1745d3267b0', '3e54dea2fdb796eb', '7307cfcf9d01b573', '5edc2640274bb9e7', '996d2d7486a4b793', '169413e8a42fb4b9', 'eb09c354c7506b21']; context = [[8, 44], [64, 105], [39, 75], [2, 51], [56, 88], [56, 100], [1, 33], [27, 72], [31, 74], [50, 87], [13, 45], [55, 91], [100, 147], [20, 67], [6, 43], [56, 97]]; loss = 0.024624 low_pass_filter = 0.300
+Epoch 0: | | 14449/? [2:17:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 14450; scene = ['3851f6250f54652e', 'd52b7a9a67c3477b', '2dc33ddd24741d38', '3d2c4bf5557d6b22', '595d89f19a588a0b', '42d895f4b1762cb2', '22858483b5c3a9e6', 'f715a5eff02706b5', '631f289afe5f3440', 'cd38ce8391dbb036', 'ab1ff2aaec862b3a', '1cc3251f1e085d81', '11c3fd0ee0ff60c2', 'a8bb713dd5876fb3', '69d6916a535a24eb', '25aaf991662b1392']; context = [[12, 57], [2, 45], [56, 98], [45, 78], [0, 33], [37, 81], [64, 98], [43, 78], [47, 84], [31, 63], [41, 89], [2, 42], [72, 119], [54, 95], [41, 90], [1, 38]]; loss = 0.024443 low_pass_filter = 0.300
+Epoch 0: | | 14459/? [2:17:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 14460; scene = ['70ebcfb771660089', 'fffda70800952a46', 'e52fbc4a693faf36', 'ddba350b46e1eae0', '1796fc4fdad7e0b5', 'f3c4d607d084de46', '45edb87bd30a2a11', 'd415cb333701232f', '9b36c2834dbc9f79', '30311d7d70e6b429', 'fc837334a2b7112b', '9614ae5a05900bd1', 'b2eecf538192c27d', '9e732e959082a6c4', '5dbda7826d5a5027', 'e381359e340285d0']; context = [[49, 91], [45, 78], [36, 76], [27, 70], [96, 144], [28, 64], [3, 45], [57, 107], [65, 98], [167, 208], [25, 59], [140, 175], [3, 40], [3, 38], [29, 66], [11, 55]]; loss = 0.029980 low_pass_filter = 0.300
+Epoch 0: | | 14469/? [2:17:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 14470; scene = ['696e3e23481f19d3', '9f8dc597e5524ce5', 'e28e1ac9ca519aae', '4325e5d93ac17f8d', '75c3d00ee8651e31', 'eb3d4493eabc70ac', '0f4bb16169333817', 'ea83dfd340855fc5', 'b9b83ef31222c2ee', '09f447a82910d9e2', '51504900fa03f469', '58e75e2b5b11725e', '8230269d5694b850', '46bd6ac81c2ca6bf', 'f4f078781be5bf1c', '17d579cd9c3c11c6']; context = [[20, 53], [2, 42], [206, 256], [62, 98], [56, 93], [86, 130], [36, 75], [86, 122], [26, 68], [49, 92], [33, 74], [170, 216], [6, 56], [66, 101], [44, 83], [19, 67]]; loss = 0.025923 low_pass_filter = 0.300
+Epoch 0: | | 14479/? [2:18:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 14480; scene = ['da4a365fb20fa557', 'dbb7151643a69e0c', 'a5c9cbbc7e1d69a1', '22b1b9bebc0a0520', 'a270004198eddd9b', '1849a41079039a3a', '6494828a237a7a69', '64fe2e10e340ebc4', '4a3ff4b7939ec268', '2c0939fba79df7ad', 'f1cbd0e2909c8ce7', '6a2a2ff9c392fefe', '0762d4d82b19cc37', '58ffd94cf821ae33', '3285acf4e36fa9cc', '1133663b914f2b24']; context = [[170, 203], [146, 187], [12, 60], [29, 73], [14, 47], [41, 82], [23, 63], [13, 53], [97, 130], [137, 183], [45, 89], [4, 39], [2, 41], [40, 82], [22, 61], [1, 35]]; loss = 0.027421 low_pass_filter = 0.300
+Epoch 0: | | 14489/? [2:18:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 14490; scene = ['03f414ba778a0d1f', '6a15ba68d651fe15', 'aad75ba6e6c3304d', '28c643e2cd91f465', 'd737a4d00ba9eb96', '2bb62d9b59e51b1b', '245351b1b14b6bb9', '1a6bd947d15b57fa', '52a73c0beebbd06a', '524cac36a2545b6e', 'e623a0ea7754acff', '26e28d2886638bf4', 'e3f69d6b8251e4a9', 'e8b4e52e3f875679', '2df270a308fce16a', '54892db9883bdeb2']; context = [[0, 48], [215, 255], [3, 52], [11, 43], [25, 73], [133, 180], [72, 104], [56, 91], [36, 72], [16, 59], [13, 59], [14, 56], [37, 80], [24, 65], [21, 67], [30, 64]]; loss = 0.022444 low_pass_filter = 0.300
+Epoch 0: | | 14499/? [2:18:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 14500; scene = ['295a521683cce321', 'd0254d0a58aa37af', 'd78a7830daf4ce10', '0fc7eabb78854784', '47a5504a363ffd80', 'c2b4c2d376a4a2bb', '03aeb7cc51b34332', '28067dda0ffd7a29', '442516502d2ea879', '64ac5e883d17b31e', '3307278c57b32d21', '3d48789267dda573', '518b5b152dbe9bed', '9a3cd88e7992e094', '802a2c4f1cdd375a', 'e46a38e9be8ffe46']; context = [[85, 129], [38, 72], [0, 32], [14, 52], [45, 78], [9, 46], [99, 143], [201, 234], [124, 168], [34, 73], [135, 167], [135, 173], [130, 174], [37, 77], [79, 128], [84, 132]]; loss = 0.028361 low_pass_filter = 0.300
+Epoch 0: | | 14509/? [2:18:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 14510; scene = ['5383d0771e18156f', 'e25f8745858154b9', 'ccac6d545bb86bcb', 'c114ed6df4bd952c', 'd04bd8b488bc8fb9', '3ff7bf5c384d3aa0', '49e1bbd1df636c6d', '3d529db8186deddd', 'c2a67b75f0fb25e4', '1d650ffedafdcc1c', '6b65db2a78a7dee4', '2a473f826bb3cff9', '74554a829a6c35b0', 'ce8c3847daad5128', '295a8bfe559a2f70', '9bc27ac0c6a08d7b']; context = [[21, 53], [87, 119], [18, 51], [218, 252], [6, 53], [31, 67], [50, 87], [61, 106], [16, 61], [31, 79], [41, 79], [109, 144], [8, 49], [0, 33], [62, 111], [28, 63]]; loss = 0.029246 low_pass_filter = 0.300
+Epoch 0: | | 14519/? [2:18:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 14520; scene = ['72d827d8b9fb16d7', 'fc4d62786f122fb5', '5e39a2c628afc961', 'dd4746055f52e4e7', '7445ad35b0826235', '5e57f003a1d61386', '87278d471c769095', '2ede9f4b066d95ff', 'f4ba1460268eac35', 'c17870a4700adfe8', '196d1f794ca7fcda', '3c1643ec85fa8447', '08ba63ccea957eb9', '4a19cedd1223cf8d', 'fbfb9866efe5bf64', '644baf494fab7ff7']; context = [[27, 72], [5, 44], [14, 56], [41, 82], [34, 83], [41, 74], [9, 47], [14, 47], [34, 77], [0, 32], [8, 47], [8, 53], [6, 44], [28, 78], [19, 52], [28, 78]]; loss = 0.026920 low_pass_filter = 0.300
+Epoch 0: | | 14529/? [2:18:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 14530; scene = ['c26b8903c5f2e18c', 'd021d2c52330b391', '1176759f66035c99', '0ad1ec9588d9b83c', '1b1648bd70cb7c7f', '7ea39c3c2e168628', 'dc9851c0d597a098', '8cd1b09ae767cbed', 'ea775b47f8ebff91', 'b3c17c4058b61df2', '5fc58233c894f917', 'c0c77651076e85a8', 'dda6eb6ec007ce39', 'bfa7bd5245ffe7e2', '4ab2f8367e37a730', '5fdf03b1ceb9135e']; context = [[63, 107], [22, 58], [45, 86], [13, 45], [26, 64], [56, 106], [24, 71], [18, 58], [14, 60], [8, 42], [149, 185], [39, 74], [1, 41], [7, 41], [33, 77], [17, 63]]; loss = 0.037632 low_pass_filter = 0.300
+Epoch 0: | | 14539/? [2:18:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 14540; scene = ['d5c7ec433b929542', '60043c9f1d07b03f', '27f1e5e997cbb35f', '48cebacf81b6da9e', 'dd6a99f9e257bba4', 'ff84efd73a79db20', 'b81a88ba12cb339c', '71e276d963c867d3', 'ac7e4e45af091245', 'bfd9942692811e1c', '0ab75011e9c92a01', '88c10677dde7a461', '5a653e5ebdcdbbf0', '818df63ddd1cf294', '06740c3d029835d2', 'da29781abdbc32d6']; context = [[0, 43], [221, 271], [12, 54], [4, 46], [80, 116], [13, 56], [16, 57], [19, 59], [23, 60], [38, 74], [103, 139], [80, 119], [168, 204], [34, 66], [29, 77], [2, 42]]; loss = 0.031280 low_pass_filter = 0.300
+Epoch 0: | | 14549/? [2:18:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 14550; scene = ['e92e4346a6224492', '9a725436379352e6', '06917bbe38912ea3', '509496bad5a12f79', '547ebf48151eef4d', 'f8532bb5eca0e29d', '739932d092e06fe2', 'db6cd90de8fee2ff', 'be0f77ad0082e93e', 'b703bdb45d172fe7', 'b21723140f5d4a70', '12f1a55c604c66b0', '22ca9bcb40ef523f', 'b384b7891bc13aa4', '0087cf27aa9e6167', '5c5f3cb0a49b72ce']; context = [[3, 53], [52, 94], [74, 121], [147, 193], [31, 73], [94, 141], [55, 105], [35, 77], [141, 186], [55, 101], [30, 80], [116, 150], [9, 59], [41, 73], [32, 76], [49, 94]]; loss = 0.031276 low_pass_filter = 0.300
+Epoch 0: | | 14559/? [2:18:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 14560; scene = ['bd184ec7a5255843', '1fdb23d22560ed13', 'cde33aece904e16f', '1d6bf47d6ecbd3ff', 'b6fd5a806aefc32b', '76a2e535fa91b6d0', '635de60e1e23e3d5', '602079c1ebdb60bc', '54bef213b59ea065', 'ae9aad3603cc5392', '8fc22c613c72a02a', '3a7d29ec252c1ee6', '03cbfe24b3fba7ec', '08735c801ab7efb5', '370a312c8f5a41d8', '44eccfd9df02acf8']; context = [[160, 202], [13, 52], [18, 61], [24, 58], [22, 57], [38, 82], [10, 57], [35, 81], [2, 43], [11, 57], [19, 53], [48, 88], [14, 55], [78, 115], [4, 52], [20, 54]]; loss = 0.026847 low_pass_filter = 0.300
+Epoch 0: | | 14569/? [2:18:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 14570; scene = ['29fa2f89e067d838', '0b32002777ec4879', '77486bddb0755c92', 'd74d313290a5f924', '7469f6bf2062627e', '62be88274d73f14c', '9fef000277449943', '503f7f337c380539', '013c0bcd158d8d28', '432b0f5fe88b1b68', '7559987bee215f0b', '71f17fd074f1b8c7', 'f97442837996a3e3', 'e486c95acb678d8f', 'c686ee0bcdadcb37', '5c7b74225aece872']; context = [[183, 229], [59, 95], [34, 79], [25, 57], [20, 63], [23, 73], [70, 116], [5, 43], [1, 41], [4, 48], [3, 47], [152, 188], [47, 83], [0, 45], [190, 227], [22, 57]]; loss = 0.031430 low_pass_filter = 0.300
+Epoch 0: | | 14579/? [2:18:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 14580; scene = ['0e875b5d0e45bd73', 'a0030d74c6d8a763', '8d5166588c8bc829', '5c6c6c70effe40ed', '4896c75fdd4bd133', 'c1aad512bc9d3879', '74995a45ae7227d7', 'b14ec6f019932d8d', '03db304406c912d0', '71bf1918ddaf971a', '6759c86723a2f641', '2f2587735ce5a386', '1087329ad17df204', '3835880de7cce2a9', '60e5d0d42a689e23', 'c1e40f36c5764350']; context = [[12, 44], [73, 110], [2, 36], [2, 52], [13, 62], [9, 47], [102, 142], [19, 53], [134, 171], [43, 82], [10, 59], [80, 112], [29, 70], [10, 55], [46, 88], [3, 41]]; loss = 0.029173 low_pass_filter = 0.300
+Epoch 0: | | 14589/? [2:19:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 14590; scene = ['219a184bf5811f40', '2d829feafff5ecc3', 'cebc5f28d2435e95', 'd8ad18263ab12197', 'ce8a42ab8e581bfa', '44b03a113e20e21b', '53ff2824b619a9d0', '104b9d69c1c686e1', 'f870195ebfa6f79a', '6159d78188e448e1', '889b6ed85a8d2fef', '1c7379a6ba4b4dd4', 'dedca05d1dd7d56d', '1401f851d97feab3', '0e0e3aa58ca368ca', '748258417c8a8efe']; context = [[187, 232], [12, 59], [42, 75], [187, 225], [137, 184], [129, 176], [39, 88], [8, 58], [27, 75], [69, 119], [173, 215], [8, 43], [0, 44], [9, 48], [3, 43], [25, 74]]; loss = 0.026527 low_pass_filter = 0.300
+Epoch 0: | | 14599/? [2:19:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 14600; scene = ['e3f35f5e469a2642', '7c1d6f3dd9542cc9', '95e2d1a9e6e1ce77', '5a56b75ac75a93a8', '25d1d1a22391449f', 'a59d4fe567e33cf0', '53d3a781a7db7cae', '9bc6fbf248bc726e', '7877153d7b11265a', '4d11b8a54ca3f310', 'ce02a33915d0b0d4', '51f633fd87dee5a3', '21c70595a4f20e8c', '7713d909cf7bda4c', 'e4ba635ef37eef5a', 'd063e47225f787c3']; context = [[134, 171], [91, 139], [113, 150], [4, 52], [2, 36], [172, 211], [65, 109], [11, 50], [10, 46], [103, 146], [4, 51], [31, 79], [9, 58], [56, 99], [40, 80], [94, 141]]; loss = 0.027889 low_pass_filter = 0.300
+Epoch 0: | | 14609/? [2:19:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 14610; scene = ['e68096411dbcfb80', 'd276fe0631793b12', 'f0806f4f675052ba', '4debede1041e403b', 'e2f119aa9500df78', '693e794fcaa48264', '172d7e9dc2acbdce', 'ea58ed9094715198', '3dd01f2ce2d419ce', '63ccdd61742e8f26', 'a1b5883e8c97b20d', '47a9b1e96499a466', '2462c8cb7c8ceb8f', 'd15566035f9fbe7d', '9e9e23b0d4bf4e3c', '216a66f91f256578']; context = [[75, 123], [104, 149], [2, 51], [16, 61], [9, 41], [14, 46], [21, 68], [28, 77], [100, 139], [33, 72], [15, 57], [55, 93], [35, 76], [63, 95], [4, 52], [20, 69]]; loss = 0.031066 low_pass_filter = 0.300
+Epoch 0: | | 14619/? [2:19:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 14620; scene = ['71184096bdfa36c7', 'a41c750693eb1472', '7e25e7669443bd73', '29fabf56364e9d1b', '0c52454885189188', 'df0ac86df48f6d06', 'dacf77dd43f1d0f1', '15f14a9a8d3f7769', 'cc6c8d74122beb91', 'b1dd1726f1f46b42', '1018776739e1250b', 'cbb91c77a7526d61', 'e58feef82356fb26', 'e53a82bfe84a2251', '4edcc58025a77735', 'cabe1e553676170f']; context = [[37, 72], [86, 128], [83, 121], [23, 66], [29, 69], [235, 274], [112, 152], [6, 41], [53, 101], [108, 144], [0, 32], [1, 51], [2, 44], [1, 36], [18, 61], [22, 64]]; loss = 0.027625 low_pass_filter = 0.300
+Epoch 0: | | 14629/? [2:19:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 14630; scene = ['2de7f58f5e033b42', '7754fa3ca481fc0e', '9ec2e7dce2d6f463', 'c8dcc958da71336e', '7ca371bda254ed80', '5b458ab008fafb80', '8c6d47f3c5e452d1', '7554edcbb2a0f82d', 'a6f8fd517ff5fe42', '3c2e4c90398b4576', 'cea44a6c6a0d3848', '9c6dbb44ea9811f4', 'c3919bfa4fe57c63', '84c73e4976f859ef', '2e9403daa9e6a49f', '137af3bde9d9b5f7']; context = [[18, 51], [16, 49], [9, 47], [44, 80], [77, 113], [3, 48], [4, 51], [15, 59], [59, 106], [201, 248], [90, 128], [6, 44], [97, 138], [72, 114], [168, 202], [1, 44]]; loss = 0.027556 low_pass_filter = 0.300
+Epoch 0: | | 14639/? [2:19:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 14640; scene = ['5c6ef4865ed51116', '82bb912dd8628b3a', 'f728a149ea2dcc32', 'e3547f5d45666645', 'da85e1680f6d70e4', 'eeb0131c26691b17', 'aad6209cb374086b', 'f695b9fd884f9c3d', 'd9205348ae400514', 'c9755380f559fa04', '5acc2cb4c8cc2220', '010c854caafa7b1a', 'b297c645ad60925e', '9a9c0d480afef099', '05c221dace25747f', '79498fcd587e86e2']; context = [[52, 90], [100, 143], [39, 85], [36, 76], [31, 67], [16, 58], [5, 42], [12, 62], [15, 61], [8, 41], [85, 129], [71, 112], [98, 144], [117, 151], [13, 48], [92, 139]]; loss = 0.029280 low_pass_filter = 0.300
+Epoch 0: | | 14649/? [2:19:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 14650; scene = ['1d09d68c42cd89c7', 'ce83b2cb583c5746', 'f7f3359cd5a72d36', '6cb8cad45aa47eeb', '5bf5e62e8cb5e970', 'f9f0b2a0c30a0d60', '8adb7580e98e6b12', '670bdb97d8e34857', '19bd1fb84a1bcfb2', 'ec6f1f361e4e58df', 'a8f5d907bf744969', '4d60cb7b128ae762', '5c2d38cc35d303ff', 'cca9b8bd91f5407c', '6cc7459261d5ef97', 'd10ec88f20d573ed']; context = [[61, 97], [0, 46], [21, 61], [26, 64], [47, 92], [7, 53], [2, 42], [1, 35], [76, 116], [55, 95], [23, 56], [74, 106], [231, 268], [141, 176], [14, 58], [51, 86]]; loss = 0.025931 low_pass_filter = 0.300
+Epoch 0: | | 14659/? [2:19:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 14660; scene = ['7a0b51c3bfddce51', 'c5bab1e3fcecd090', '9de46bb009a08fb5', '3a05ad6466f6ca3c', 'db69b164ea00101f', '317861b88f2bee02', 'ea0724550b13acea', '0d523169ade73286', '9b6bdc23cba32873', 'e5fb96a5660d33ed', '39d5184c4a047f1f', '7f532f61480e9e92', 'a0c8f13e0ee9d03e', 'dedf1209f6d5747f', 'd43bcc23c8839201', '993fcef909c7650a']; context = [[205, 252], [60, 108], [16, 57], [40, 81], [85, 125], [237, 272], [142, 183], [39, 75], [119, 158], [0, 39], [0, 34], [28, 70], [32, 79], [60, 93], [50, 97], [22, 54]]; loss = 0.029842 low_pass_filter = 0.300
+Epoch 0: | | 14669/? [2:19:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 14670; scene = ['3352936c57a1d3c9', '91c166ec1a40ae2f', 'a80f041ba46868b2', '235eaad47ef70bec', '3c3b89dd371b0d05', '022dcc77d485117a', 'aae4f7cf0484ecf4', '641f6c357193d23c', '27727baa0d2bab84', '2afa66ba3b843b4e', 'f5ec2d727c316a10', '1d5e720fbd1a1938', '3d3c2c9af14d56e0', '17b596f17c9f4c61', '6be1fce840607d8a', 'd37f8401dc61d4ac']; context = [[23, 64], [61, 108], [211, 244], [16, 50], [79, 115], [87, 123], [107, 149], [44, 81], [28, 73], [219, 268], [26, 62], [71, 116], [34, 69], [88, 131], [13, 46], [44, 78]]; loss = 0.025029 low_pass_filter = 0.300
+Epoch 0: | | 14679/? [2:19:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 14680; scene = ['ea8b2c80d239bcc1', '4987c4d7ec72610d', '0f5abbb7e9e13751', '49611abd06487b73', 'cc99f79225455b28', 'd706f9af100f0c57', '20728de310f17634', '33111ae5fb134ae2', 'b5962106567a3f6a', 'a8e322c05f5ee05f', 'bea9a5616b6568be', 'f3fb6cb6a5e93e44', 'af5d0d9ca92db4fc', '7abfc06afa782800', '065a1d221681a033', 'e978e66867316a9c']; context = [[21, 58], [78, 119], [108, 151], [59, 102], [95, 131], [2, 43], [55, 101], [0, 50], [7, 57], [26, 66], [80, 120], [25, 65], [127, 161], [4, 53], [211, 256], [16, 57]]; loss = 0.030226 low_pass_filter = 0.300
+Epoch 0: | | 14689/? [2:19:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 14690; scene = ['d5e1447e1de01607', 'a33f17057a017185', '9571d138e429ca67', '79fa3455235ba17b', '00182dd4c74ab052', '3c5d2e68f96da4e1', '41043e181f5377c9', '02a0d88ab226852a', '0ca076d4e9cce556', '602bafce92295e6a', 'e81ebff3e97d4e04', '4e51bd2f1763a84a', 'cddbf2f4526b1e1a', '912281b34d2c3a9e', '796ff6ded9b7805e', 'f08604329e31902a']; context = [[31, 81], [61, 99], [64, 100], [32, 65], [38, 87], [20, 70], [91, 136], [79, 123], [63, 95], [14, 57], [83, 118], [45, 93], [21, 68], [74, 110], [38, 87], [30, 73]]; loss = 0.027974 low_pass_filter = 0.300
+Epoch 0: | | 14699/? [2:20:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 14700; scene = ['891bccc742646bd1', '791434f2b9cbdc39', '44907ce3af3f17e3', 'f597ebefbdb08592', '115a398f51307f6b', '922350a09bb6233a', '1647a773a10129d9', '3b7bd7e723f069b2', '865013ca4f91cd13', '44b88fd41e47df01', '89d86b956405d9d3', '5e11c3d58d7e88c8', '8d63fea57e01c8cc', '2d448f1fda854cb5', '90b386235765d7e1', '1814f984bb155fa0']; context = [[0, 32], [41, 83], [1, 38], [22, 57], [24, 56], [14, 63], [3, 48], [230, 277], [7, 42], [234, 278], [8, 58], [236, 270], [28, 78], [16, 59], [43, 80], [25, 67]]; loss = 0.024068 low_pass_filter = 0.300
+Epoch 0: | | 14709/? [2:20:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 14710; scene = ['cf888eee79e98e59', '1c06aea20d266433', '729fa587a8a49343', '2f669847b3ec379f', 'bd06c66243805d2f', 'd063d31fc9a7af2b', 'e83742a3e43bd126', 'd3277a590af7e77b', '62d9c30b7009ade6', 'd1594196fa748b2b', '20ad4007f8dc89fb', '7d675692ce253ae5', '8421d1b832751b06', '31e3f047172167fd', '276fe2a344c8c50e', 'f50a0d6022e7e2e5']; context = [[72, 104], [86, 123], [31, 80], [49, 94], [60, 101], [13, 56], [27, 69], [6, 48], [38, 80], [144, 190], [6, 45], [2, 51], [18, 54], [131, 172], [14, 47], [12, 55]]; loss = 0.029920 low_pass_filter = 0.300
+Epoch 0: | | 14719/? [2:20:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 14720; scene = ['027f46042d62d8dd', '3c60078735491108', '2cf102bb6b9d37e8', 'bd64124de2aaeb79', '3834d878ae1525c6', 'a2012fea65fdb1d1', '1d260e4bebf2c0e6', 'a0f9a5c04c8e602b', '1825e5c359626746', '40f122a087305b92', '8f6466cf3955548f', '1ac2a4b1e19586d2', '3c4bdecd948605b2', 'd77d8728b4f60c05', '20c567d65674f2ca', '37d500b0d445527a']; context = [[107, 157], [14, 53], [22, 65], [35, 68], [62, 108], [101, 144], [1, 36], [5, 37], [78, 111], [166, 199], [0, 39], [75, 107], [18, 59], [32, 73], [28, 75], [65, 108]]; loss = 0.027163 low_pass_filter = 0.300
+Epoch 0: | | 14729/? [2:20:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 14730; scene = ['ea1914f59482039b', 'a19258a9ec8e067d', '53b329172b71e22e', '83e89ce8743d173f', 'd28b6907c373ceb4', 'c2cb3f434cb54496', '4f4c4302c36cb755', 'd71bedd45d2622eb', '817e115884ba88aa', 'e8f5349d18840614', 'bf19a5f6f58bc028', '1a4236953ed9e598', 'e39973a267fed33b', '770b8cae0d2ea678', '70cb3fa7ba32d9a3', 'e8201a41f5af1b50']; context = [[156, 194], [64, 108], [19, 55], [24, 64], [11, 57], [7, 47], [164, 213], [127, 170], [74, 118], [115, 161], [19, 63], [1, 45], [2, 38], [18, 62], [148, 195], [125, 170]]; loss = 0.025685 low_pass_filter = 0.300
+Epoch 0: | | 14739/? [2:20:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 14740; scene = ['155bdf703c9d2c78', 'd85e72198954fedf', 'ac522c134dfe7713', 'e3221f6e2e4298b4', 'f86a5df27270cd63', 'aab3ddb3540888d6', '90a596bfb6501865', '1f44f9200820c142', 'db91fed7543340ef', '01c72bfd2acc1bf9', '820efb23bec5de13', '61c1a8c9a5bbb249', '3aa408880547719d', '09358602367b997b', 'd29cbb6e7aa31fbc', '36784897d51395da']; context = [[38, 73], [10, 54], [7, 45], [10, 46], [6, 45], [26, 66], [74, 108], [41, 73], [11, 51], [34, 70], [30, 73], [30, 67], [17, 51], [47, 80], [21, 67], [79, 115]]; loss = 0.026936 low_pass_filter = 0.300
+Epoch 0: | | 14749/? [2:20:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 14750; scene = ['48ad31a1ea12ef16', 'b9a91fb9d8b245dc', '23a21511074188fa', '546f6ef7e1ecadad', 'dfd3f902b645c2b8', '851ee72bbb63c5b9', '8d5750fb3066c585', '7b8b7615fd2f7724', '3fbb0670a23bf050', 'd35e90f8cb411c35', 'cb4d635a85911b86', '4538a4e738f84589', 'd946391d7812c84c', 'cea7f0f676df3c07', '88c61f5f82fd8a47', 'bb09fe710c29a6f1']; context = [[14, 52], [24, 70], [30, 73], [77, 111], [66, 111], [170, 211], [12, 46], [27, 62], [59, 103], [151, 187], [6, 43], [191, 229], [39, 89], [66, 101], [10, 52], [7, 50]]; loss = 0.029396 low_pass_filter = 0.300
+Epoch 0: | | 14759/? [2:20:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 14760; scene = ['218e8f36b7cf1179', 'acf17336705da39a', 'b58ad668ed5946a2', 'f8372a143e797098', '761d3028a4027ec2', '6d5a7765a9f78f05', '1646e618e848d6d4', '5a33c3fd335205dd', '3a118f5199067e38', '54b7cd4104a189b3', '92243f1c96656398', '62dfb6acac4e7353', '3d3570cae9dd24b2', '5e3ea271106a0019', 'e28dd08b05e0e835', 'f1ad34b317f596a8']; context = [[15, 53], [35, 75], [5, 53], [20, 57], [6, 38], [36, 68], [91, 137], [124, 172], [117, 166], [32, 75], [110, 156], [27, 61], [45, 92], [15, 56], [27, 62], [26, 59]]; loss = 0.023268 low_pass_filter = 0.300
+Epoch 0: | | 14769/? [2:20:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 14770; scene = ['a098120648ef79b9', 'd7ebd02f7393cb5d', 'd5074acf0e20994f', '1f94351ad6a1338b', '2a95182b4cbd572c', '86e7448e46eafff9', '641b0fd980f31a43', 'b12fc4e65b54767e', 'bec452193584d1a3', 'a98e531a5476b090', '92f5432cf00fa4b6', '6c05286b9abb1ea5', 'c749bb7b80066e93', 'abdd8d4ff3698408', 'ddf12051e7f662c6', '8f2dbac708da0c44']; context = [[10, 52], [151, 187], [82, 123], [195, 229], [0, 33], [183, 226], [144, 193], [120, 154], [7, 53], [9, 56], [75, 122], [162, 210], [22, 67], [7, 47], [56, 90], [216, 251]]; loss = 0.029285 low_pass_filter = 0.300
+Epoch 0: | | 14779/? [2:20:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 14780; scene = ['78c26ca4826aaec5', '1e6e3dcb8251f852', '6d1cdf6455706bbf', 'e5915107a9c58183', '088f04409263c55e', '7fe28874e9a523e7', 'fe11db7072e7666e', '0d1436b89f8de224', '446a7ddca0d1a28a', '64508af4bf3b2c10', '7ee889f844247786', '921504f59fb80a42', '16f49e5091804328', '1996702577ac768a', '4aca0b9f5148e064', '22248456bae063ae']; context = [[49, 90], [3, 41], [1, 37], [1, 37], [5, 38], [16, 57], [26, 65], [109, 148], [21, 55], [10, 55], [0, 34], [18, 66], [34, 66], [25, 63], [21, 55], [24, 62]]; loss = 0.020475 low_pass_filter = 0.300
+Epoch 0: | | 14789/? [2:20:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 14790; scene = ['049782b6f061709a', 'eed7e480a5e88553', '3e568ab74fb51248', 'b23bded8b95915ac', '1e946a362b6b9ca2', '14865449e509b130', 'a895d0e5fbebc994', 'e4b7df0920724ef1', 'b69e804602b55e82', 'a0c40378636aecde', '2f3271a81eb248ba', 'aceba890257a9ee4', '85024d10f37aa32d', '73a2b9fea20570a8', '68f71fd689a626df', 'd6056e0a258ed340']; context = [[36, 86], [3, 37], [60, 110], [56, 102], [19, 61], [11, 50], [54, 90], [151, 198], [192, 239], [142, 184], [215, 257], [75, 107], [6, 45], [75, 114], [88, 129], [7, 45]]; loss = 0.025543 low_pass_filter = 0.300
+Epoch 0: | | 14799/? [2:21:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 14800; scene = ['c2de98e8401d1883', 'ea163c23bfbd7529', '877e982c2aeacb3a', '9d12753fac2acd44', '9de65d8d1ae2f1d6', '25940df940e06e06', 'e894397d55585428', 'b78e5afe2f63a3d6', 'f5802f62bde9dc37', '7eaa5e263437fd3e', 'ba3e9afca036217c', '869344d81dc936c2', '11f7a2991ed95c71', '7f36a3984d359b29', '24d06a668d2c19a3', '2672581259c382de']; context = [[1, 33], [2, 43], [16, 50], [24, 71], [88, 128], [173, 205], [16, 54], [87, 132], [5, 41], [17, 66], [49, 83], [11, 43], [220, 261], [88, 136], [29, 71], [9, 56]]; loss = 0.026583 low_pass_filter = 0.300
+Epoch 0: | | 14809/? [2:21:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 14810; scene = ['7ed36baf0bf654d0', 'cd709c2b3b9e8632', 'b760e2b61123efc7', 'a5b408e117f6e1f6', '2ef4f2852d414a2f', 'b33528b5e7fb4f3a', '607a93e793e68187', '07bf688ff1daaffb', '944e7002710a3fde', '30616cf542da9e8c', '3b55a135d3430c8a', '8f362fabd1b6ba0c', '3f632fc75340f318', 'e5dc57248ba891b0', 'a6e846695f37f07c', 'ad11330d77c6fc36']; context = [[45, 91], [127, 165], [91, 130], [39, 85], [55, 91], [13, 63], [52, 99], [1, 44], [3, 53], [95, 135], [13, 53], [16, 61], [4, 43], [61, 106], [102, 134], [159, 201]]; loss = 0.025435 low_pass_filter = 0.300
+Epoch 0: | | 14819/? [2:21:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 14820; scene = ['93608c4038aa7076', '98824563b9f7d065', 'a2153772358e871c', '9322864620eb33c0', '932b4806763bfb08', 'c85b8b7a314d9400', 'fae64c7efc1efe1d', '6060f8f48be51664', '76b806736cbd3ab5', '69b1a39b8bfa50d1', '68a8baf91b21a89c', 'b7ce83af117bba95', 'd58c9ee06ec6f28f', '43afc7d30bc60f7a', '33f6234f6414324c', 'e8f2a9d8809cbb5f']; context = [[35, 73], [82, 121], [12, 53], [26, 68], [8, 49], [7, 52], [29, 75], [11, 57], [17, 52], [4, 37], [14, 63], [22, 58], [45, 81], [141, 191], [59, 95], [3, 47]]; loss = 0.025175 low_pass_filter = 0.300
+Epoch 0: | | 14829/? [2:21:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 14830; scene = ['8ee376f0a298ec87', '480231b83d000bf7', 'abfac8e8c688c9f1', '245ec87f817cf1e4', '484a9bbc30003fcc', '0dcc9979156d2fa6', '81f7dbbb9eb96dd3', 'ef50ada26ead08d3', 'd0723710ad953ed2', 'e2ca1ffeb1c2e53c', '079b906ce521a705', '5438676fd4651f37', '809570a9e8c724bc', '91da94b22d295320', '4f6c27102e9d00fd', 'a4b1346c83476db3']; context = [[61, 104], [14, 50], [76, 119], [6, 38], [23, 71], [1, 39], [30, 71], [6, 48], [23, 66], [3, 48], [19, 62], [17, 51], [98, 131], [162, 197], [15, 55], [176, 223]]; loss = 0.022052 low_pass_filter = 0.300
+Epoch 0: | | 14839/? [2:21:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 14840; scene = ['bbdfd0941d4d279d', '094f8c7e2d09a79b', '38c7cf7a3199eb56', 'ff909d460f2ea5a3', '6185798eba1315d0', '4c73cbddc8726967', '00336da5ecce4cb3', '98b525bb4a063f5b', 'c6fa4ea03de099cc', '5516acbfaeb3c455', '1a81dd5de456f254', 'ad91b5890f8cd86f', '686fc9257c8fad1f', 'a4890bc0e3fe95d4', '7dce7662605b5320', 'f5bffc38ce948aa0']; context = [[55, 97], [12, 55], [28, 65], [2, 39], [27, 67], [23, 63], [79, 121], [62, 100], [20, 60], [10, 48], [6, 38], [28, 74], [2, 45], [43, 87], [3, 51], [3, 40]]; loss = 0.023866 low_pass_filter = 0.300
+Epoch 0: | | 14849/? [2:21:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 14850; scene = ['2962373860639fa0', '68348e0f06cb5805', '1a34d38778fc33e6', '6392f81fbdf07025', '6053fe94ff738118', 'ca125d684e6771b4', '3e94e736d15703c8', '5015575ebe2cf61a', 'e38dc8ea8cc6a43c', 'a5de97e3a325e6e0', 'de33a86974a575b8', '13c7f39126781299', '53078019d1b8b4af', 'cc61a2c282667716', 'a258d9b29e7b3b44', '436e4e1b7504931b']; context = [[133, 180], [27, 62], [124, 157], [30, 66], [27, 67], [47, 89], [24, 57], [1, 33], [0, 34], [19, 61], [70, 109], [3, 37], [15, 60], [28, 60], [53, 91], [6, 55]]; loss = 0.024135 low_pass_filter = 0.300
+Epoch 0: | | 14859/? [2:21:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 14860; scene = ['c0f0b9fb3a20df47', 'd88068c038b9a8c2', '1bcb0cd2d7fbe4e3', '8c6c81a3e5a3571b', 'b4387b50f12cd03f', '885c91e8c9e5d66d', '3871dea7a39088eb', '7d49279f478df95f', 'cce776cba18d88a3', '27f3cec9a7ea058c', '652aa3fc24f9acd4', '52f61cf26a515e1e', '9ebf004526511333', 'fd75df33c92b8b7d', '3ec6e37fc83d8cb1', 'd0b0b6bb1a8ddf25']; context = [[165, 206], [27, 77], [100, 136], [95, 138], [1, 51], [98, 137], [15, 65], [0, 32], [1, 46], [64, 107], [204, 249], [0, 32], [111, 150], [61, 98], [54, 103], [48, 82]]; loss = 0.027850 low_pass_filter = 0.300
+Epoch 0: | | 14869/? [2:21:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 14870; scene = ['f9d90190e833a4cf', '77e01fe2ab7d1ce7', 'f7da21f2c663dabf', 'bf812050b5a288a8', '6f29c6e5920ebf58', '83a8808c79184009', 'f353f0555d221d44', '1f6b10c1bfeab825', '868020c5dede77d0', 'dc6a613063a7f16a', '699a3a31be12b40d', '83bf7f4e33c13400', '12601c791bc30f82', '0345af360bac9020', '71ffb1e88c266788', '540cefc32a23b152']; context = [[14, 55], [21, 59], [4, 53], [3, 45], [44, 76], [3, 43], [12, 53], [14, 62], [16, 49], [0, 41], [41, 77], [106, 150], [18, 68], [69, 116], [24, 72], [16, 50]]; loss = 0.024822 low_pass_filter = 0.300
+Epoch 0: | | 14879/? [2:21:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 14880; scene = ['9eb71bef64a01356', '93c82fa338786247', '2c475774db9735e7', '536853698e0d75d3', 'cd7f33ee42ffaa99', '09df6c5611f3d193', '8db3f3c632cb9cd7', '5f27e7ce212ec13f', 'd15550f3074582b5', 'c7ff8b136d1e04ea', 'a7cca3b824fba4ae', '43fe85ffb80fe3ca', 'fb79ec5350c1eaed', 'f3e027c7872d9ac9', '18c06550d82aff14', '3c35dc218bba6c35']; context = [[43, 91], [216, 257], [23, 69], [38, 84], [4, 37], [121, 154], [7, 41], [56, 90], [68, 101], [7, 41], [111, 160], [166, 204], [70, 120], [12, 60], [101, 133], [0, 43]]; loss = 0.029825 low_pass_filter = 0.300
+Epoch 0: | | 14889/? [2:21:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 14890; scene = ['f9b2b6c5e82c3a81', '39441c33a49aa7cd', '09b8806139b8641a', '4d01b641965bcba9', '2182f82243b1b557', '5eadfa9632f7fa08', '1ff9a4a3b6e51631', '41afb234315af11b', '62ddd52d1b36f9aa', '8099e2a14e49dfd5', '9fd328f8a94cfbaf', '48fc5cc333450bb1', '442c414a99c4b112', '0584d558b805f5b6', 'b85c409875a4573a', '7f5d687b4d6d916a']; context = [[45, 81], [46, 89], [67, 100], [42, 77], [148, 190], [73, 115], [11, 56], [13, 58], [104, 147], [85, 122], [5, 47], [71, 103], [27, 68], [17, 54], [0, 41], [123, 172]]; loss = 0.031221 low_pass_filter = 0.300
+Epoch 0: | | 14899/? [2:21:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 14900; scene = ['1c71c8e9e6c71a6f', 'b1a0a95f2b59cf25', '349c6cc920ba7868', 'd95573ce88bcad09', '214eeca1d9687332', '3eb10f91b03318e2', '011a1765540790d6', '8fcec41b125f2f6d', 'f9f50b21184a798c', '5b7ab1a8989e1729', '6b3f79a3dae10bdf', '9c04b2fd1b51976e', '4001bca52ac28925', 'd44961c44fa2d3d0', '475cc5043cbf31f9', '9399f9e7caae9a7f']; context = [[4, 37], [33, 73], [11, 58], [14, 49], [112, 149], [65, 106], [14, 60], [6, 38], [10, 53], [3, 43], [45, 89], [3, 52], [23, 59], [5, 52], [153, 195], [20, 69]]; loss = 0.025521 low_pass_filter = 0.300
+Epoch 0: | | 14909/? [2:22:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 14910; scene = ['df78723619969e5f', '754711913b00c193', 'bf9d82851f3b3cb7', '4e1290159c4dfc0d', '7de470f122c55a25', '171b4dff96c9f0cb', 'b043b8a11caf2162', 'c2f97d21c68c9450', '34b86d6870238c64', 'ce5600070606c18d', '82b71bfc359ab228', '67a34000b10e05d1', 'b23a2d11dd88eb83', 'ad96a22bb137e566', '60d2537a38149999', '9e15fbc719ab1e4a']; context = [[0, 33], [82, 122], [35, 84], [13, 54], [10, 49], [109, 156], [38, 88], [44, 82], [30, 80], [1, 44], [176, 209], [42, 91], [53, 94], [5, 45], [80, 117], [119, 168]]; loss = 0.035026 low_pass_filter = 0.300
+Epoch 0: | | 14919/? [2:22:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 14920; scene = ['c99a2b709a2e2013', '436d7fa2beaa7ae8', 'cd287f0455859191', 'f1e81f068cf9ca15', '21ab524d48f5e731', '711190f70f36060b', 'b841baba38897507', '7a0eb41a0f19e724', '2765f5d2bd45f599', '8f243526414052a6', '7d81b28b7afe5738', 'af9f9ef0469ba964', '1cacfe69c509febf', '591324b1a786d91e', '04740510b6d96720', '792c3b369bcd98f6']; context = [[46, 85], [40, 78], [94, 132], [36, 75], [67, 107], [104, 146], [53, 94], [82, 121], [21, 56], [129, 168], [4, 49], [9, 47], [1, 36], [7, 46], [13, 62], [0, 50]]; loss = 0.027302 low_pass_filter = 0.300
+Epoch 0: | | 14929/? [2:22:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 14930; scene = ['c6b5d87ebdfdd4cc', '89881c5590c6fb13', '8b79d5fab54f0f41', '216c2b376142d870', 'fbe03b854c322efb', 'e0da837e447b83f9', '1e1f56d7bbb8b28e', '7bee29375ee511d9', '62d39d3cc5d40248', '58458f2cf9bba722', '4206633a0b8106f4', 'ada41156e463562f', 'b267e2cfc2c3a52b', 'fddb773938b548d4', 'fa964283efb18a53', 'bd5add698623e69a']; context = [[2, 42], [75, 123], [6, 42], [1, 43], [31, 74], [118, 159], [215, 257], [8, 42], [3, 42], [24, 56], [55, 103], [50, 93], [93, 128], [7, 39], [18, 66], [9, 47]]; loss = 0.024506 low_pass_filter = 0.300
+Epoch 0: | | 14939/? [2:22:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 14940; scene = ['ea3815a5ada77b49', '4acc7a6d996e102f', '15870d691082eb40', '773fe8698a0eb7ab', 'f291b18d16c3b10c', 'e4e0a2c744fcabd0', '24649be0dd272ffc', 'ee6e5709a57be759', 'db84572032e69dc0', '5eeb2c7cd1bd78f7', '466666b6242e3081', '409dc0e5cbdbe442', '52e13717e8b9393d', '395b1c86e35e8d93', 'c87cba5fcd8b6849', 'bcab3c0184450241']; context = [[110, 148], [38, 83], [59, 95], [20, 61], [167, 213], [87, 129], [183, 231], [116, 165], [41, 86], [2, 39], [48, 84], [44, 79], [49, 85], [8, 43], [6, 44], [8, 56]]; loss = 0.027309 low_pass_filter = 0.300
+Epoch 0: | | 14949/? [2:22:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.000train step 14950; scene = ['26b0937fc13a30e2', 'f639db1cd1693ee5', 'f48a588058bcf739', '517ab66f42f47693', 'c2c4a91bbabf2d59', '376a6730c79c8ed5', '30690a825a09d9b9', '3df018bfa7d321c5', 'aead594134900395', '6f9bdb77b6ce8e74', 'ae4d5e2473edfc8b', '7ffc2c8f306ead78', '7f9be765fc88ada1', '639b3f64e6ec221b', '86cc2c97a73c3004', 'a8a820bc0929ba11']; context = [[5, 53], [33, 82], [1, 50], [45, 91], [16, 58], [5, 45], [21, 61], [96, 132], [229, 278], [1, 49], [0, 35], [25, 74], [42, 79], [81, 128], [16, 48], [14, 55]]; loss = 0.030249 low_pass_filter = 0.300
+Epoch 0: | | 14959/? [2:22:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 14960; scene = ['91f161840d0c1cc1', '61f0c6c64165bf93', '03d4213c72458935', '1725f0a5e6852e0c', '4da6746b3ebedda3', '0bfbd4e52e5beebc', 'e0244ef32742736d', 'bb39eaf814bf4908', 'a69b521e2340c0ae', '45de0f6aa929161a', '32f6317591f11355', 'e3d2b4479546065f', '1a770b6c0909cc12', '53ce8007d1dae3d4', 'f918eea9b5ac04b9', '752a9e82e1610935']; context = [[22, 61], [3, 39], [63, 99], [0, 39], [119, 160], [64, 114], [43, 81], [24, 68], [57, 107], [72, 120], [12, 59], [31, 81], [15, 62], [80, 129], [34, 83], [56, 105]]; loss = 0.029572 low_pass_filter = 0.300
+Epoch 0: | | 14969/? [2:22:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 14970; scene = ['cd48d8f1f4ee8fd5', '1a7da077d7abffa9', 'bee739375b5f5994', '68183be9762db666', 'c1225943d41e7775', '405b63e04081b23f', 'a5d8de81d26c95e2', '855e59a8017718a3', 'd510619771b2dbb1', 'd470875e58c39c58', '0e3e75ce2921bc9b', '713acc9de50a122e', 'f7ff5b1477f82169', '2f9d71971c4c8af5', '440db3635ed46037', 'ebfbb2432fcbeec4']; context = [[7, 42], [48, 92], [34, 81], [128, 169], [10, 54], [19, 62], [22, 64], [198, 234], [3, 45], [50, 88], [30, 80], [11, 61], [24, 62], [52, 99], [222, 256], [59, 108]]; loss = 0.027580 low_pass_filter = 0.300
+Epoch 0: | | 14979/? [2:22:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 14980; scene = ['493310c4f0982cee', 'e3e3e781aa8995b5', '8682ce2849525c5f', 'd530355fa74f9cd2', '7b9139fa3b4c253d', '911dbf3814ab3ba6', 'cedc2ca16f1218f0', 'f988aeee5b8242e0', '7d9a1d4a7a201031', 'c5638d0a34f85020', '21568a19429c093d', 'c1fbe55634c0aa7b', 'e9d8a816be542548', '5aa203774fc782b4', '3db79774c58a2dfb', '2b14178ced93f0da']; context = [[71, 109], [10, 45], [6, 45], [5, 37], [20, 53], [25, 67], [71, 121], [72, 116], [182, 220], [71, 119], [24, 64], [9, 46], [78, 121], [25, 72], [80, 116], [50, 98]]; loss = 0.026901 low_pass_filter = 0.300
+Epoch 0: | | 14989/? [2:22:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 14990; scene = ['8f2dbac708da0c44', '88e47bcf464e8188', 'fd02d3dff5210809', '0dd87bbf50036ced', '6c05286b9abb1ea5', 'c749bb7b80066e93', 'abdd8d4ff3698408', '308e91855be81574', 'ddf12051e7f662c6', 'bf170cc6e7f5011b', '37273e37a2c3573f', '6b49b064dfdce852', 'f1569d827ce5bec9', '2899818a923e235c', '86d1360e786d5674', 'de012df6e6222077']; context = [[158, 197], [0, 35], [15, 49], [47, 79], [131, 173], [25, 59], [35, 67], [0, 42], [15, 50], [1, 43], [116, 161], [49, 93], [35, 77], [58, 101], [6, 52], [10, 45]]; loss = 0.027749 low_pass_filter = 0.300
+Epoch 0: | | 14999/? [2:22:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 15000; scene = ['d0d5d14286a27296', 'd4a2a9eb76093fa7', '09620e93073c72cb', 'b66696af4dfbe01a', 'e9af8e5a35c54350', '5b7d6f510045de0c', 'c6f270aee918729e', 'f31f2ae8f0316f19', 'e88847a976dc6442', 'a2f6b667dea1c75d', '0ffd111214e2f272', '67497e4b41e252bc', '064941adad8489fd', '9e8efbefe519703b', '9dd2c1c6262f1e33', '3407fa7d6d62c1f2']; context = [[0, 32], [49, 84], [13, 46], [86, 133], [159, 193], [5, 40], [76, 117], [18, 64], [34, 69], [93, 130], [19, 65], [62, 100], [12, 51], [4, 42], [22, 67], [1, 37]]; loss = 0.029551 low_pass_filter = 0.300
+Epoch 0: | | 15000/? [2:22:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000validation step 15000; scene = ['9e013fd3bd563b6b']; context = [[71, 106]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 15009/? [2:23:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 15010; scene = ['07ad3c9e67f8bf95', '4364c3b9403ffd96', '19c5fbe63a18e91a', '2a43ee2f245c1337', '48b84ebd9166652f', '04ce6d1f0f049069', 'c49afcdb61153e2a', '042e949b55e0c306', '3baa46d1f38c6c0c', 'a97842b559fa0582', '0476107845eb67e9', '73ced5ac444353ab', '17a222a4d296d309', 'ac240008d63e3e71', '50224dd4b565bffd', '023dd7f0dd79eac3']; context = [[19, 54], [1, 51], [32, 71], [43, 77], [86, 120], [10, 47], [26, 65], [21, 65], [51, 96], [27, 67], [75, 112], [3, 36], [226, 262], [0, 44], [9, 49], [11, 43]]; loss = 0.040324 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 15019/? [2:23:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 15020; scene = ['b72b05be77fb6594', '35bfad0493df3456', 'e13c44ba12302891', '157b0fbe05d0d789', '57fe7c02c5ec9bbb', '343a98bd8cfda2de', '89fc915d613ff37f', '0e26579ccb4998cd', '232fe630965b0d11', '77043e8d7cd6aa0a', 'd4017d748d48fe77', '5b8e80b9b14fb5fb', '09deb7b94fd4c53b', '7a64bb9d786b3f9e', '4955a2d36a82973f', '5fb6c59c4a7c68ac']; context = [[18, 62], [1, 37], [33, 79], [81, 129], [124, 164], [8, 42], [97, 135], [8, 52], [150, 193], [88, 128], [19, 56], [17, 57], [65, 99], [43, 86], [16, 59], [103, 139]]; loss = 0.023442 low_pass_filter = 0.300
+Epoch 0: | | 15029/? [2:23:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 15030; scene = ['17a3b2973ac260d8', 'e23b1573b9c59b53', '86dd3f82c63f34de', '5fd2c3f026ad348e', '399cafe233afe35b', '0e31843ccbe9288f', 'a5958226d3c882ae', '19182f06ecd09249', '1e8f5c89b00aa748', '16ffcc8cb40f0126', '6051769ca7d5dea5', 'c847e51d788c65e8', 'e50bac77d5bb056e', '8fc771ff29a8ee83', '1740fad50bc3efcf', '6b1b528b905120b8']; context = [[5, 55], [48, 83], [0, 37], [93, 143], [12, 47], [21, 64], [43, 91], [15, 47], [69, 106], [41, 88], [24, 58], [50, 84], [32, 64], [91, 127], [92, 132], [24, 66]]; loss = 0.028852 low_pass_filter = 0.300
+Epoch 0: | | 15039/? [2:23:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 15040; scene = ['bf170cc6e7f5011b', '09c054099b4e7450', '5efafc624bc57c34', '2635e85202abf905', 'a2e41dcc1211b08a', '87936316747fec41', '139ea1df8d7f576a', 'd902ac6a27f342b3', '85bd140b5d588f8e', '566c10c5e9a29e7f', 'ac5a742e35e2385b', 'a0c8c3af0eee5a8a', 'ad0c7854290bb67e', '4e47cf8a0b5e46fa', '0aa2ad8ed112f05e', '84278f38e03eb055']; context = [[9, 55], [4, 47], [0, 33], [19, 68], [43, 76], [143, 192], [180, 228], [41, 86], [43, 81], [9, 49], [2, 51], [34, 82], [12, 46], [4, 42], [145, 187], [139, 188]]; loss = 0.028098 low_pass_filter = 0.300
+Epoch 0: | | 15049/? [2:23:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15050; scene = ['bc7cc635b7ab5cb5', '7b24fe7a90ca9f59', '82b8b4c5e983729f', '8d4018b86dd123ec', '122d66974706d78c', '59e04cb072686a97', '31ba0028326b8b17', '5a17274151ebf45f', '1b8abd07e10f4e79', '5f45c360d76a3b12', '50c7f40e49739339', '3a13e56691c8396e', '3836fa3dcc6aacc6', '1a2ea561c9c8f419', 'bc67854fca5cdac2', 'f81c1b6ddc6962a0']; context = [[24, 59], [57, 94], [210, 258], [83, 132], [57, 99], [144, 183], [120, 156], [1, 36], [51, 100], [34, 73], [26, 59], [44, 89], [7, 50], [0, 38], [17, 54], [33, 81]]; loss = 0.024142 low_pass_filter = 0.300
+Epoch 0: | | 15059/? [2:23:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 15060; scene = ['c814764a96faa920', '10b6066326f7ef71', '5932a3d5d9e96f2e', '1ba62a778db81cdb', '00c4e6f642692c12', 'a74c9ba55587177a', '8bf81bba5bab3b3d', 'a6e9da5f8ea25c34', 'dc35c77570c24ea2', '80d18f8705a70093', 'd9eecbe208f90b0c', 'e90baa038f233699', '7aa4e4e4d61cd4db', '49a2a8b6c115277b', 'e7841af4b7538263', 'a26a4e80d45ff758']; context = [[5, 44], [52, 101], [67, 117], [7, 55], [7, 42], [38, 74], [138, 183], [27, 69], [15, 54], [50, 83], [5, 53], [21, 64], [49, 97], [11, 52], [19, 63], [146, 193]]; loss = 0.035876 low_pass_filter = 0.300
+Epoch 0: | | 15069/? [2:23:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 15070; scene = ['d915c4fc127a8969', 'aa296307ca75fac4', '8579774e33353ec3', '28029035a9f310b2', '334d086cdda32830', '0b2cc56f12f96e0f', '5349291b3c6027a5', '7eed2a3e13d9dd94', '27142daeb7ddc5a8', '7c4d84983cdffcf9', '2af39d33e0bf3675', 'e033a01dd38fd7c6', 'd819c632b16b1900', '31da2e3201fe611e', '4ef6e3d8d9059199', 'b024b50e436ede79']; context = [[60, 110], [0, 37], [0, 36], [36, 82], [34, 73], [6, 51], [35, 80], [166, 208], [0, 50], [12, 56], [4, 45], [32, 68], [123, 168], [41, 83], [0, 44], [11, 47]]; loss = 0.026631 low_pass_filter = 0.300
+Epoch 0: | | 15079/? [2:23:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 15080; scene = ['32fa0c47f615dae4', '2f7f9e93ff483426', '5cc90f5e8a0c2294', 'fbaf4cb6ae4fdc16', '3e9cfe1d412ca8bf', '05a92ceeed81751b', '2a5388604c40e212', '4b12e17c628925ce', '1dc62abce9e47288', '93211c8c0ea19307', '68f0e62572201999', '3b3874fb0cfc671e', 'd966e7c0739c36a8', '61e661613b2d25d3', '3fe42e802362cbe4', '8c058dcde89e65b1']; context = [[0, 41], [7, 49], [15, 54], [35, 85], [127, 171], [74, 115], [22, 57], [225, 259], [14, 65], [32, 74], [96, 139], [119, 154], [23, 56], [25, 75], [166, 212], [42, 76]]; loss = 0.026225 low_pass_filter = 0.300
+Epoch 0: | | 15089/? [2:23:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 15090; scene = ['057aed77be9938e5', 'ef1f21f2fd22d7ca', '33152d559f58f283', '385f9bcdb97bb766', 'f91702f19351f9da', '11b21930ecad92d1', '0da44313ec309d22', '35853ff8c6e1cd4d', '5d609018a4b47ad6', '496e6fc19c13a4bd', '728b3e98e007eeec', '46b12e4cbe5f30ed', '882e5b83bbc2027b', '88251d3dbf8b43aa', 'cdb6719712d3b074', '0b11c4c2d21a4f1b']; context = [[6, 44], [5, 50], [160, 204], [153, 202], [103, 153], [0, 37], [104, 138], [5, 38], [79, 129], [7, 57], [70, 112], [90, 133], [28, 62], [12, 45], [13, 50], [77, 118]]; loss = 0.034968 low_pass_filter = 0.300
+Epoch 0: | | 15099/? [2:23:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 15100; scene = ['fb3a12e72b856bd0', '883b428276b20122', '9cd53c2e1832a847', 'cc66dbb6ad5276a3', '399668567ff33ad7', '02e09836f8b1b780', '6e6fc53d3837b3ab', '40a3f4f9389dd20c', '4203a06d618eeb97', '2dcd1e94db751fa0', 'acb03b9827de0765', 'b5be3cfa849d6bc9', 'cf579459b0fb66df', '334eb53845f3615f', 'bb518b3a290d5e83', '7426a108ff0bd8f0']; context = [[195, 233], [4, 46], [63, 112], [17, 61], [12, 63], [19, 58], [38, 79], [23, 69], [33, 73], [35, 73], [24, 63], [67, 109], [35, 83], [37, 80], [60, 99], [115, 165]]; loss = 0.031267 low_pass_filter = 0.300
+Epoch 0: | | 15109/? [2:24:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 15110; scene = ['e80d4228032941c1', '68cbb26505f30aa2', 'cd5889e3c16145ab', 'a74acf8b48c6b47c', 'f0b0ba349ae4a0e1', 'b3ce1599e03be3f8', 'df89f5ef700ef2a9', 'c547ee7c28eb64e2', 'ffe748128f835e3f', 'a39df60612b60375', '7ad5e90fc8434219', '9db124880f8d78ac', 'c4ae95c34e204d53', '6465050cb3142bb6', 'a27aaba0c4a2b558', '91d39686ae23230e']; context = [[24, 60], [195, 233], [118, 155], [82, 123], [30, 68], [53, 90], [2, 43], [114, 165], [93, 139], [81, 130], [2, 49], [241, 278], [0, 48], [32, 75], [12, 50], [11, 57]]; loss = 0.025676 low_pass_filter = 0.300
+Epoch 0: | | 15119/? [2:24:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 15120; scene = ['39e99101dae5b664', '0a5d9bd1a512c498', 'c6252c821a5310db', '3948c903131133bb', '6dfa54a298bd9f1a', '2926375ddae07bb9', 'b9e81e1ba5472560', 'f69e99e1af925636', '5f70f2502a815d4e', '1b5aebb31dd24255', '0de4e1d6b188215d', 'd09259776759df85', 'e90aaffa44f24d62', '456580073fef681e', '566719d1763da28c', '7e5536f41f78efef']; context = [[35, 79], [72, 113], [3, 41], [54, 88], [62, 99], [161, 210], [29, 73], [22, 63], [11, 52], [11, 48], [4, 51], [84, 129], [94, 145], [39, 87], [18, 64], [56, 92]]; loss = 0.027815 low_pass_filter = 0.300
+Epoch 0: | | 15129/? [2:24:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15130; scene = ['d2bf1f7a52ad1f7e', '7ee761e91dad7f2d', 'b7d671a7137c9fcf', '69c390a5f15bf8c7', 'cf6e883dc02f0d66', '323efa15ec3b9b0f', '87dd03622b1589ea', 'ad1d0abc28a42585', '9e732b6f83edaa38', '089cbe98ad3beddc', '4379921e6438fdac', 'd4c8ef2d288fd1bc', 'a8ae95c162e03289', '79049d915465c4e2', '76f53a277c8e50cf', '655234c2b421904f']; context = [[34, 84], [17, 58], [0, 37], [18, 56], [32, 75], [106, 154], [95, 136], [39, 84], [154, 194], [71, 121], [156, 200], [42, 83], [26, 63], [12, 46], [56, 97], [5, 47]]; loss = 0.029473 low_pass_filter = 0.300
+Epoch 0: | | 15139/? [2:24:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 15140; scene = ['ae1ce26f27f55ee0', '50f7971dda42084f', '59c93b953b49a075', 'ee3f7a4049756e71', '1e387282c09f38c9', 'c89a6efe4e3459d2', '13dc2ac8d31d423e', '16aa545846c4e20d', '6da1a5a4dd0873e8', '915eb91aee459280', 'c82fdd33839610f6', 'd6445dfe4dfc8773', '5815312ac729bddf', 'f86abcf7e247ad2d', '290707483e4f66a4', '7b37e0325f9d3240']; context = [[226, 262], [217, 258], [25, 68], [24, 69], [38, 72], [11, 57], [103, 152], [36, 84], [92, 133], [74, 123], [44, 86], [6, 48], [5, 39], [38, 76], [32, 70], [2, 40]]; loss = 0.028904 low_pass_filter = 0.300
+Epoch 0: | | 15149/? [2:24:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 15150; scene = ['a1e787d5757b71f1', '47369632665bf0c1', 'a96ad8e746757268', 'd4905ef311d9b18b', '6df41a9b3f6b1791', '9542a66ff167e228', 'db82f36b5dbc0f0f', '3abc649dc7186af2', 'c957756daa41c990', '8465adbee68fc990', 'cdd44aaa218af50f', 'c85847819c2d64d0', 'f45f2ed11aa8a46b', 'd060f1ba4d2a73fa', '4f1637bea9f78862', '4aa49e7067a0b7f1']; context = [[35, 74], [24, 65], [16, 59], [165, 212], [49, 92], [126, 165], [25, 68], [10, 60], [45, 81], [70, 111], [75, 109], [43, 77], [31, 77], [25, 75], [75, 115], [7, 55]]; loss = 0.028570 low_pass_filter = 0.300
+Epoch 0: | | 15159/? [2:24:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 15160; scene = ['e3415f47c35a9313', '2bb0b8de88e68323', '6ad716f9b6d89222', '39575de64c3de74b', 'd6f99a65ea33bfea', '01fb53b15143522f', 'e7fc26ae6767e953', '3569d686183705cf', 'd4a97e0a52dc8cb7', 'eeb55a861130a21d', 'dd3bbf1f7f832e83', 'a825a8d54cd14cd0', 'da963e97170fd9e9', 'd90000318f9a8442', '8b671df4b3b155bd', '43b4e4c3f5ae7c81']; context = [[19, 65], [18, 62], [25, 74], [145, 186], [36, 83], [17, 54], [52, 86], [119, 157], [22, 63], [11, 53], [90, 128], [25, 72], [30, 63], [6, 39], [29, 80], [36, 77]]; loss = 0.028458 low_pass_filter = 0.300
+Epoch 0: | | 15169/? [2:24:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 15170; scene = ['044eef3604b91fc6', '70903c43d033db05', '92c7ddb9ed43a0b5', '68b51bdd3390ca27', '8c9101a99381fb4b', '9bea5d613a0649ef', '9ec4a208d822f5d7', '4c32d41a44e936f9', '389a54e3df009553', '884dc158899ce2e1', '480bab337d7da840', 'ade0f8dd75055776', '104bd16490cbed08', 'bb307bd68f12700a', 'abbad56be54aa1ba', 'c3b35d883258d896']; context = [[21, 59], [73, 116], [22, 65], [13, 64], [63, 100], [101, 134], [39, 81], [0, 35], [18, 54], [12, 46], [13, 58], [132, 166], [0, 42], [11, 48], [190, 241], [39, 85]]; loss = 0.030784 low_pass_filter = 0.300
+Epoch 0: | | 15179/? [2:24:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 15180; scene = ['a981c29bc5c30f17', 'a5e62b760ec6ca2a', 'f0614e4ce7b17ce7', 'b85dcc204b980cf1', '1d19392ccd2122ca', 'a522b097d56845a6', 'af2a4edd9ee026e1', '1d106e69248d9af1', '526a07ae78945335', '14e19e579a9704ee', '40786ebccb8aec35', 'b487e00442c5a8cb', 'dbc55534d987c7cf', 'c4606cdb17012d6b', '51bfd3ee5c473481', 'a91657eb1b53c0ee']; context = [[22, 65], [69, 106], [5, 44], [26, 59], [2, 44], [9, 43], [40, 79], [182, 233], [18, 55], [1, 43], [18, 65], [80, 113], [41, 91], [9, 53], [77, 115], [10, 59]]; loss = 0.026064 low_pass_filter = 0.300
+Epoch 0: | | 15189/? [2:24:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 15190; scene = ['0a4e072b35ec9aa6', 'fa5dc3f82887cfad', '746d615513052889', '3db247f055f7e4ea', '3d3facb1425b30d2', 'eea4d2f46db72095', '0ae6dfceec6e70ce', 'f3aaddb01fc4665f', 'c0c40d7196c94570', '6334a2ea61554ce6', 'd6c7ef943acb2490', 'd644cfb925683a58', '89943e55af1ebcb3', '18622e59c80cd655', '5bbae3d047eb84f7', 'd8b3d968d826dae5']; context = [[25, 75], [101, 151], [17, 55], [37, 85], [30, 68], [43, 78], [0, 36], [0, 45], [11, 57], [28, 75], [54, 101], [14, 55], [123, 173], [228, 262], [10, 60], [3, 41]]; loss = 0.026309 low_pass_filter = 0.300
+Epoch 0: | | 15199/? [2:24:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 15200; scene = ['21316ebacd8d1dc3', '4b3fa9f2651d6a1b', '07d791e644a21f03', '4cfdc3ed984caecf', 'e43706d840696cd5', 'c6307a6f1bcddb41', 'a59d4fe567e33cf0', '95e2d1a9e6e1ce77', '5a56b75ac75a93a8', '53d3a781a7db7cae', 'ce02a33915d0b0d4', '7c1d6f3dd9542cc9', '7877153d7b11265a', '9bc6fbf248bc726e', 'e3f35f5e469a2642', '4d11b8a54ca3f310']; context = [[7, 55], [127, 169], [174, 221], [156, 193], [0, 34], [0, 33], [24, 60], [122, 171], [38, 73], [10, 56], [6, 53], [19, 59], [37, 72], [11, 50], [111, 149], [32, 75]]; loss = 0.027377 low_pass_filter = 0.300
+Epoch 0: | | 15209/? [2:24:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 15210; scene = ['cc0b9f33d4d1104d', '0f7f10a38a970ccc', '7a46f3a1073a44ea', 'e888e5cc7d09557f', '38236f059c0bfc08', '239ee85d525cc9ec', '9070088e9e97aab5', '1c2a649eebbf909e', 'f44d13951c2bd474', '7d143a7b55d767ff', 'a13d6561db213baa', 'a7c24f60f1640de7', 'baa2a5d68eeef99e', 'e654c951fe486a67', '0dcc9979156d2fa6', '484a9bbc30003fcc']; context = [[27, 73], [22, 56], [16, 64], [35, 71], [29, 67], [8, 46], [17, 65], [86, 136], [26, 75], [54, 104], [92, 127], [2, 35], [9, 48], [97, 141], [2, 50], [78, 128]]; loss = 0.025939 low_pass_filter = 0.300
+Epoch 0: | | 15219/? [2:25:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 15220; scene = ['7e5bfc3435ae4115', '396c24c723894660', 'dae9a6c7acbc98a2', '265ab8c5130603c6', 'a1bb2ada3181ffff', '7c7405a0b30acfe0', '284f5ab7de23b695', 'ac737cd508aa479f', 'ac64aa93f8140066', 'b5641e5423f6e474', '138c39b21212c53c', 'a6e10acc85cb42b6', '23467cc831529738', 'f8ce5c33f6cf70ed', '2813da755d297391', '7f2f43cf7a4adb40']; context = [[6, 48], [128, 170], [1, 34], [3, 40], [32, 82], [119, 165], [63, 109], [31, 66], [11, 50], [8, 44], [42, 91], [0, 42], [180, 224], [3, 40], [12, 46], [36, 83]]; loss = 0.027463 low_pass_filter = 0.300
+Epoch 0: | | 15229/? [2:25:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 15230; scene = ['4f7b9c79fed7dcda', '0083e7de502c19b2', '521545d0559d0f85', '3c1aa6e11ad2bb0c', '2fe48b787ff699f5', '6dd581f9955f6f4a', '06cbca6bd39eedfd', '59a0a5c091b8dd89', '486bf8a19a80e49d', '3a2bd2caec480db4', '3c92a33b159be5aa', '29a2ce0df203e999', 'a96fe203924c7ced', 'e4c499182720b50e', 'e1ea79f6e06eb4f4', '8d19a7fdcfaf26e6']; context = [[0, 37], [98, 148], [14, 58], [112, 147], [13, 64], [103, 145], [6, 48], [3, 53], [0, 35], [131, 167], [39, 72], [2, 37], [97, 138], [4, 43], [120, 166], [72, 120]]; loss = 0.029548 low_pass_filter = 0.300
+Epoch 0: | | 15239/? [2:25:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 15240; scene = ['f3da07e1268f9829', '8af56d1b49ff17d1', '6feb5bcd09a060f4', 'f7eaf62d4f3c6114', '631f19075ce636aa', 'a1216f7ec040ff5c', 'cda05cdb67698027', 'a90eab41dddde44e', 'e032f2324ed2e451', '0a4e072b35ec9aa6', '7b6c709c0eb728b1', '767a19530957b790', '12025fef56ee3d5b', 'b55b27c9d8f7ad94', '545f0bf834b0b19f', 'fa5dc3f82887cfad']; context = [[105, 147], [16, 52], [202, 235], [20, 55], [15, 62], [2, 35], [35, 83], [71, 119], [10, 50], [86, 131], [86, 135], [207, 254], [2, 38], [14, 64], [159, 199], [84, 120]]; loss = 0.025357 low_pass_filter = 0.300
+Epoch 0: | | 15249/? [2:25:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 15250; scene = ['0be2dda3b9bee02c', '3663d892a56790c3', 'd819adf14aa2d093', 'd10c1a3d693d4605', '2ad3521a6d8e647d', '0160f46f6ab85e70', 'd50f9f193c3063a2', 'ffbad00f23fd9759', '500a15dfebbfd3f1', 'ac2d8427dd7b3f1b', '98a9c426f0c55380', 'dbe23dec6cf24911', '0d37a906aea762f9', '050dc1e2ec4c944a', '420dfaaf7a8f542d', '0a1e871f9b315451']; context = [[12, 57], [79, 128], [36, 74], [18, 56], [156, 189], [188, 239], [107, 142], [60, 100], [10, 52], [48, 90], [12, 45], [22, 70], [60, 108], [35, 84], [115, 159], [28, 77]]; loss = 0.028062 low_pass_filter = 0.300
+Epoch 0: | | 15259/? [2:25:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 15260; scene = ['22ca9bcb40ef523f', 'be0f77ad0082e93e', 'b21723140f5d4a70', 'b703bdb45d172fe7', 'da9ece76d1c9d94e', '739932d092e06fe2', 'f8532bb5eca0e29d', '174ebd189316bd92', '5c5f3cb0a49b72ce', '19dbf45ccabba3ff', '9adb9e6bcc8d8860', '198406e64d55f09a', 'd9a44807f45c25ab', 'd69346456b8fecf9', '99305ea813488197', 'd45f2d9fb239d5b4']; context = [[8, 53], [11, 46], [48, 84], [94, 132], [6, 47], [18, 65], [7, 57], [0, 39], [110, 144], [80, 119], [34, 85], [1, 38], [109, 151], [230, 268], [42, 77], [67, 111]]; loss = 0.027082 low_pass_filter = 0.300
+Epoch 0: | | 15269/? [2:25:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 15270; scene = ['d528f476238b81aa', '22e4f9f3e6fb1cb4', 'ddf23ac21281e688', '9335c0a02e4383e6', '3b4f1606efe949df', 'ec1978c494e59410', '645bdd61301d7e81', '78eaba283994c8c6', '1307574e6ab07d0e', '9e5b301443a4e4e7', '8f93ab80df48a143', '273d38e69ae4e7ab', 'd05ca04016dd15aa', 'bf6c3bb4273bb482', '3eecbfde33a5d536', '21270b591ffb942b']; context = [[184, 223], [40, 82], [36, 73], [1, 35], [37, 86], [68, 111], [53, 92], [17, 65], [215, 248], [47, 81], [32, 79], [35, 71], [88, 128], [23, 67], [52, 97], [18, 56]]; loss = 0.024772 low_pass_filter = 0.300
+Epoch 0: | | 15279/? [2:25:38<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 15280; scene = ['7dea0889b1b634e1', 'e3b4c785859b3d28', '32ca11ef483a2a78', '4f9ef77133c82bb2', '1edeb862503f2665', '61f94b25b08466cb', '03a6e0bb18677013', '6d31828d93f75cbf', 'd8c6cd792b768059', '44c947200826dd79', 'b75966e1f0ca41f8', '77e8e139fd121920', 'bcb0c15e361a7f1f', '6fcdfeaa3b6ca8d1', '14a5a9be7c637dfd', '2fd88165c45d4bae']; context = [[0, 33], [0, 37], [25, 75], [21, 61], [7, 44], [12, 55], [120, 162], [16, 61], [91, 136], [50, 88], [19, 64], [14, 62], [89, 134], [90, 134], [88, 130], [10, 57]]; loss = 0.026882 low_pass_filter = 0.300
+Epoch 0: | | 15289/? [2:25:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15290; scene = ['b82d4345c56e2df9', '602ac555f082c9ac', '88c9f100af32569d', '6805afaa43c789a8', 'a462205ad0ca18b4', '5249fc770c2bf279', '6a624121b4cb59ff', '67c43a84148a0be6', '23358c2cc3e7e8fa', '9662f49b6a764dfb', 'da1f9f2859b59142', 'a92ec569ae5c2a73', '5c1d013893a69fb1', '633fa0194a012d8c', 'a1fa4bf737381a53', '32f7b46d278e4954']; context = [[125, 167], [27, 72], [35, 80], [82, 122], [95, 144], [39, 86], [36, 71], [28, 66], [19, 68], [109, 146], [73, 107], [25, 71], [227, 267], [3, 51], [89, 124], [30, 70]]; loss = 0.028602 low_pass_filter = 0.300
+Epoch 0: | | 15299/? [2:25:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 15300; scene = ['ac3690f75f92c28b', '88195dba892d7a54', 'f3a2bc72a2f91be2', '1510ba15d149dd08', 'a70b0efc5ed16834', 'ce3c1b2e2d678ab1', '5fdd48c9974041fe', '9e35575322e0114c', '08d5d5e654eba3c3', '1d0938c10e501ef2', '5790f3223cba0631', '431fd85eeee086ee', 'e77d1067701c05f7', 'b790206a852507f5', 'cc34866a3da9fe2a', 'a2b025627d179842']; context = [[37, 72], [1, 49], [58, 103], [36, 76], [41, 88], [131, 165], [40, 78], [19, 56], [61, 109], [0, 36], [13, 63], [198, 233], [35, 75], [92, 126], [12, 60], [5, 39]]; loss = 0.023534 low_pass_filter = 0.300
+Epoch 0: | | 15309/? [2:25:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 15310; scene = ['5ba184b186b04a98', 'ea8114a2dbc1d695', '3ce2813613f42d3a', 'e7bb87c1283a342a', '502519632955b9e1', '464facd721dc4fe8', '648bf43d7fe51924', '45a0fe81436e8ad9', '77a348ece48ddd36', 'a956cb2982bc95f6', '9782ad24260f5675', 'd9946b2453bdd6de', '998ea1f3c868e3a1', 'd38b3ae6b1136c47', '07cee55ad9de11d5', 'a3cd2e001860cc33']; context = [[66, 101], [59, 110], [21, 64], [104, 153], [7, 43], [19, 56], [8, 56], [6, 54], [45, 84], [2, 36], [91, 140], [46, 96], [51, 96], [12, 54], [99, 140], [67, 116]]; loss = 0.035726 low_pass_filter = 0.300
+Epoch 0: | | 15319/? [2:26:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 15320; scene = ['4efe6e6493f54dfb', '2f20605bea9eaa86', '4fa6193d6c4a7a33', '64771c07a2b5b222', '516e3be5ee3bf382', '4a60d56fc171fae8', 'ec0f91daffb151c5', 'bd60dd411034a330', '3d4952a1e8289a7f', '057c338b658d2c6b', '6b503257ae05df64', '94c8f1c6ee33001c', 'c177284557cac835', '936cfb94d0fa2d95', '78439ac06504df45', '7a39bd58ec1d2ccc']; context = [[145, 194], [158, 206], [83, 131], [32, 73], [3, 47], [1, 49], [38, 71], [61, 95], [33, 71], [48, 93], [176, 211], [27, 72], [34, 75], [19, 69], [25, 73], [8, 57]]; loss = 0.028447 low_pass_filter = 0.300
+Epoch 0: | | 15329/? [2:26:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 15330; scene = ['210663239642cbc3', '03583c28537ca3ae', '87e57ce46082df08', 'b0a821041e945fb5', '75c669ab3a4b5f54', '27cc9e8e5d628dc3', '9dadaec44c97db78', '8bd922b2000c7320', '5d5e28ccdee50a9e', '731e06ecf08c5b87', '47eea4af0e417a61', '4d5bc50676a987b9', '53381d18cd3ab345', 'bd5de4c24d27729a', '8a884829ae8e2686', 'fc4e355ff4418069']; context = [[39, 77], [35, 85], [24, 65], [22, 67], [56, 103], [48, 97], [8, 42], [129, 172], [41, 83], [81, 132], [0, 41], [37, 74], [1, 41], [5, 52], [29, 62], [80, 114]]; loss = 0.026709 low_pass_filter = 0.300
+Epoch 0: | | 15339/? [2:26:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 15340; scene = ['3f08d16d1419ce64', 'e0686e6326f8c08f', '11cd107f829eeb46', '51799f9a8eacb945', 'ba5e5fb5abf3ed66', 'ab42a131df988c32', 'e7a85a4315af4cc1', '957a51e4ffa1a8fb', '70e9f9b109005879', '8cb3e7d09f0310f7', '05281fc06f9b485c', 'c4cbb66b72003fec', '68c08dd9afc6b2f0', 'df416414f84e7fda', '45122de717639111', 'ec4d1bc7b2cffc2b']; context = [[10, 55], [237, 277], [26, 62], [20, 57], [12, 45], [67, 102], [130, 163], [65, 108], [104, 146], [48, 87], [8, 41], [162, 211], [55, 91], [3, 42], [33, 77], [9, 42]]; loss = 0.023343 low_pass_filter = 0.300
+Epoch 0: | | 15349/? [2:26:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15350; scene = ['0c4caceae466dc0d', '2a71b6004bc0bf12', '070a38463607f676', '1255213b2b061903', 'd8ebaefde5718781', '1098e1e8ff8a6ccc', '212a60ee1257a9ac', 'eff2a535a76f4362', '39144ca292453bab', '2afc7dc230fbf3fe', '09c6fdb9069bfebd', '67426b6ca13230b1', 'f970e1d2a39ddbf4', '2745b72124ce2839', 'c9e5140663ab470c', '9a7bac27466a58f3']; context = [[15, 48], [30, 74], [16, 67], [4, 50], [0, 35], [137, 185], [183, 233], [0, 33], [24, 63], [73, 113], [18, 60], [0, 38], [8, 47], [63, 97], [41, 80], [1, 36]]; loss = 0.025931 low_pass_filter = 0.300
+Epoch 0: | | 15359/? [2:26:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 15360; scene = ['d25c3b30b8fbece8', '6528b83786c46e7a', '209cac34fadd4599', '6d810108226870b2', '13aa0fb5e9f145ea', '4aba3469d1ffa652', 'eaf0ed1633d82698', '7e6e62f4d393df44', '7024b0228507c606', 'f20f2c66b7cfb222', '2b9a91ff3b76ac1f', '8c848bdc65c5b52b', '485e3ebc5ef46c4f', '33636b41c5e8a1bf', 'c1b5d15e2f52afc4', 'b22aced3d738961a']; context = [[37, 83], [4, 42], [2, 36], [8, 47], [57, 107], [57, 98], [9, 54], [6, 52], [35, 83], [13, 51], [31, 71], [143, 190], [1, 48], [57, 95], [26, 63], [2, 43]]; loss = 0.024023 low_pass_filter = 0.300
+Epoch 0: | | 15369/? [2:26:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 15370; scene = ['7860f8fb501c44e5', '5b5997d5f0ce5d59', 'c081c9bddcc3cc73', '0aaed15800682a1b', 'd6c5625f80389208', '5087895d3540a6ad', 'b9d45f6a27052a50', 'c732343e2378ffe1', '60987a40ad6c73d8', '1414e41b4c8f32e3', 'e799c5c0b4f26e3b', 'd848b9acbb7e79f0', 'b1e83960965e92a9', 'c78080cd764ce09a', '0c1b1ea787e6a5e5', 'ac5122b9a344d3be']; context = [[170, 217], [85, 129], [0, 36], [16, 66], [0, 44], [47, 81], [180, 227], [1, 51], [29, 64], [149, 194], [52, 90], [12, 52], [82, 120], [9, 54], [95, 139], [43, 78]]; loss = 0.030187 low_pass_filter = 0.300
+Epoch 0: | | 15379/? [2:26:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 15380; scene = ['640df76ceeee5757', '684090b9114f3aa1', 'e1dd6457f3165b1f', 'bd4ff15a9c811ad1', 'cff943ff40169064', 'ad4e193f353a8711', '71d5e4a63de69039', 'b14d792da4aaeaaf', 'b544fabd9660c1c4', '64619aa7bd88899d', 'b6aeac1bddf8da07', 'cc8480640599f9f3', '4937d2e5a298d69f', 'de1181d6c642e883', 'b877fceeed5942d8', '8049eef0ee607a97']; context = [[22, 64], [47, 84], [56, 100], [5, 50], [13, 52], [4, 37], [54, 92], [33, 78], [26, 69], [20, 61], [23, 72], [4, 44], [53, 89], [18, 65], [15, 54], [51, 87]]; loss = 0.028773 low_pass_filter = 0.300
+Epoch 0: | | 15389/? [2:26:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15390; scene = ['15256ecdaf019629', '51b71d090b1b9a95', '1acbd6dc14eb0b2c', '756001ac4456cb40', '03194023f13fa529', 'a8bdfed1dca087ef', '6a8649c12f74db20', 'be414fc8a382334d', '17de26112944192a', 'e505e1426e248b71', '7b9b7003ec4e78a5', 'ef640b2f20e99e16', '8af368949983a521', '1f0fa5402763bb4e', 'adebe02303ab2e6c', '8e1d14eee9286097']; context = [[59, 94], [11, 52], [144, 178], [210, 253], [23, 68], [0, 38], [2, 43], [25, 58], [16, 64], [157, 194], [15, 64], [51, 97], [25, 65], [2, 53], [55, 88], [62, 108]]; loss = 0.027423 low_pass_filter = 0.300
+Epoch 0: | | 15399/? [2:26:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 15400; scene = ['7e39c1172230514f', 'fbd4913da8a907c2', '5504701fb8520818', '74e3e6de971edea1', '828399209d5ffc4f', '093704d9160df32d', 'f76b02964abe7d74', 'c9cc80abd6a058cc', 'd0949c78a764e278', '6519a2e146bec2a3', '6b3f97ae13e1f6c3', 'a5991c36cbc1e162', '51f52754331b5f78', '35f1351a55e2e95d', '1b0c7b2e662ade88', '4cbc8aa0b70db3bf']; context = [[148, 187], [123, 157], [14, 55], [15, 62], [26, 63], [157, 204], [40, 76], [3, 37], [3, 49], [15, 56], [73, 119], [27, 76], [1, 50], [35, 80], [19, 56], [13, 54]]; loss = 0.025115 low_pass_filter = 0.300
+Epoch 0: | | 15409/? [2:26:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15410; scene = ['299df18f61e685c7', '0ba5c7641900eb58', '0eb569a5be0c965c', '034e4f9e2b30a3ca', '75f00f8813c7a3b1', '9087cdd4baa858d6', '470f6a9cdba0a1d5', 'd1fa4e26c8e5d32c', 'fb73c1c5f2889329', 'c0ac407355970e00', '954740f1e0accd65', 'db16e7d25a1aaf71', '1796cd953fcfd33f', 'f2af153a34cd6c91', 'ee06f74c9da200b8', 'a3e5e6b0475c232d']; context = [[74, 111], [27, 71], [67, 117], [179, 216], [165, 199], [16, 55], [117, 168], [46, 87], [33, 68], [61, 103], [111, 152], [27, 63], [1, 35], [44, 95], [11, 54], [32, 75]]; loss = 0.026670 low_pass_filter = 0.300
+Epoch 0: | | 15419/? [2:26:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 15420; scene = ['162d34cd96a0899d', '7256306ee88ff0a3', '414454ff64681a93', '1562917348b9dea3', '41640d448887e237', '1403da8c328f29d4', 'bba92b2f199e4e80', 'ed8132a90fd5cedd', '68c8385b0117500e', 'e2e41f7ed5d26706', '2e950239e5cfed50', '5c8fa4f3d00008cb', 'c347e54acd9d486d', '5dd3b8a0f8819027', '0be49b4ad5e9d5ea', '7c18789cd686cc8f']; context = [[147, 185], [57, 95], [51, 99], [6, 54], [17, 62], [227, 274], [171, 206], [25, 76], [62, 98], [165, 199], [18, 57], [67, 106], [59, 101], [20, 56], [16, 66], [32, 69]]; loss = 0.024562 low_pass_filter = 0.300
+Epoch 0: | | 15429/? [2:27:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 15430; scene = ['59051fbbf9b52e09', 'a16dfe2ead47a813', 'f82f3902beba630d', '160a8cd526273844', '856d6c28878d2055', '155931a346595728', '9d81335bc69b18f4', '146f891877f35000', '2c80d3d8e3d8bf97', 'b88db7960be465ab', '592c1eea73fa43a2', '9c248f0c3e94154d', '33adc68fe41da745', '359af2b0f4c26712', 'ba94402402fc0c58', 'ea34fe29b32d99f1']; context = [[8, 50], [13, 58], [75, 124], [22, 65], [28, 68], [126, 166], [102, 136], [14, 48], [83, 126], [166, 208], [24, 71], [42, 80], [36, 73], [46, 83], [51, 92], [132, 175]]; loss = 0.027744 low_pass_filter = 0.300
+Epoch 0: | | 15439/? [2:27:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 15440; scene = ['ad2f42792ff4e12b', '9d0fa815d5127e96', '9304b1e911c2829e', '4627387578523c1d', 'a2d53f4d478c56fd', 'a546829f49e50f99', '6fa131a2fa829df1', '4e90e8e0a2ab62d2', 'bf70ac416939f544', '0e11b0852a47d75b', 'c0d73e302fdb7a4e', 'bbcfab092d76f8e8', '7a1e1fd94e551593', 'ec183e6afc500071', 'c82a25e9661c7240', '31e82c62699474b9']; context = [[0, 35], [32, 70], [14, 49], [4, 50], [9, 47], [4, 54], [21, 59], [26, 63], [114, 147], [130, 163], [2, 42], [70, 104], [41, 89], [10, 48], [14, 61], [16, 64]]; loss = 0.025160 low_pass_filter = 0.300
+Epoch 0: | | 15449/? [2:27:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 15450; scene = ['030bd1218320c5e0', 'cacc3b4e30cf8a9c', '457920a30ea22f29', '7a68894ff54c6cf7', '3ba4b519345f6ac7', '2af9fdc846476fe8', 'a44e21cedb034916', '2d52cecbcb66add2', '33777b62b0df310a', '5611b3e906ee9f9d', 'ed34bd58ed8751db', '46a23441b43cc6b7', '32e250e3ac90c53b', 'dad2645e3acc1168', '798c6afb6d09dbc1', 'fefed76c496e574f']; context = [[75, 126], [73, 117], [0, 34], [26, 67], [226, 259], [50, 99], [14, 48], [9, 59], [22, 69], [19, 61], [22, 62], [28, 77], [52, 88], [197, 244], [82, 133], [0, 34]]; loss = 0.025473 low_pass_filter = 0.300
+Epoch 0: | | 15459/? [2:27:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 15460; scene = ['2f4b9ad15b9f24ac', 'c647cd99f6e90f2d', '8dfc793d813776e7', 'c7ff9ab69e5c8c4f', '2912b78036c7cf88', '1832762cb8cca06c', 'a7be8ac8c721114a', 'a2109ba7369c8661', 'f804e1cc0ac26412', '2dba350e829133a7', '12acc6a0ad6b2134', '4120e2ff13536836', '2964a16a969c61b2', 'ee147644fcde3496', 'f682d1c5b8431f46', 'bee292458a6d4570']; context = [[59, 109], [13, 48], [27, 68], [206, 244], [3, 43], [16, 66], [0, 39], [101, 143], [44, 88], [64, 98], [6, 49], [0, 38], [161, 212], [38, 88], [198, 241], [71, 105]]; loss = 0.027740 low_pass_filter = 0.300
+Epoch 0: | | 15469/? [2:27:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 15470; scene = ['c2a6826b4e13e5a7', 'cd27c675fce414ca', '2d03c73c305f51d3', '669850df6e386e8e', '402b7918575da6a6', 'ee0377f272672b8b', '386ab02cdb228dd8', '0ca6a01c751fb091', '8b029362353581d3', 'c3014424adc10c07', '7e54b2a98ef2fa85', '41e8dcaf7ef2bf68', 'b05e1497f499cfd2', 'f3177ab889fdfa01', '3d0b42f411e153b2', '3dcf1ca50193e3bd']; context = [[3, 36], [3, 36], [5, 53], [12, 60], [101, 152], [71, 119], [149, 191], [0, 35], [44, 90], [89, 135], [7, 52], [198, 239], [4, 55], [118, 161], [108, 143], [13, 54]]; loss = 0.030671 low_pass_filter = 0.300
+Epoch 0: | | 15479/? [2:27:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 15480; scene = ['4b558439c3094357', '3d75646077c13ab1', '116fc4e6b30185de', '4a06a35720fd46b8', 'c27206d098fe6546', 'dd73a0c07b63406c', '8944e2d266a03dc8', '0bf49ed081b75fb5', 'c647a0fa8d97eb8a', '09b5abace1293176', '6090fcf28a1a3a43', 'e46bfc605bc405f1', 'f7805054a28b6ed8', '4ef090a0a136fa10', '4b9ed7532c875dab', '79e76f940b648264']; context = [[13, 47], [38, 71], [69, 102], [143, 179], [16, 64], [62, 100], [14, 49], [10, 46], [8, 53], [77, 113], [209, 248], [50, 85], [38, 85], [84, 119], [181, 220], [38, 81]]; loss = 0.022378 low_pass_filter = 0.300
+Epoch 0: | | 15489/? [2:27:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15490; scene = ['c28024f75eaa554e', '53c77665634fe060', '680d4124176c3dad', '638b13dd051d87c1', 'dd65f639eba32074', '914a03c1ab2da7bb', '62014d7e1c6de23a', '247ae10c0370568c', '6f53846229e4d5a4', '1457d36ebeb725fc', 'ab4aef17418308cc', '98e625c8549cc4f7', '034a1f45d506268a', '53816b879437b432', '4974d2898597691e', '100e901f7029d4fe']; context = [[34, 80], [71, 119], [2, 51], [86, 131], [75, 113], [16, 66], [173, 222], [3, 53], [57, 108], [212, 263], [8, 41], [102, 147], [3, 49], [13, 61], [137, 188], [1, 37]]; loss = 0.029132 low_pass_filter = 0.300
+Epoch 0: | | 15499/? [2:27:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 15500; scene = ['824d9b0d6b801096', '360fb277b32a0fea', 'e0c06d9954d16a41', 'd56cf1bb0dfd5d92', 'c24e64f5e8aff40d', '7ff6b913db3bea5c', '230fbab2e597be11', 'a122c1228022e3ca', '54e69836e875f8ac', '40a45b91d5f5e533', '459ae388f8b6cf56', '05ec6a8aa6630928', '0800911f12284372', '06445de8291a6bdf', 'e933e39642413c83', 'de137f51846c63b6']; context = [[54, 94], [190, 237], [1, 34], [53, 95], [168, 204], [26, 71], [38, 73], [32, 72], [148, 193], [23, 57], [191, 226], [194, 234], [5, 41], [15, 52], [44, 86], [23, 61]]; loss = 0.023699 low_pass_filter = 0.300
+Epoch 0: | | 15509/? [2:27:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 15510; scene = ['8c338ffc0f63d256', '464b39207f6edea6', '0d64103186aa5b50', '065253fc4e00d30c', 'd78f25c6b105edd3', 'ef461087323ae170', '8b2d76f9df651fc6', 'b8974ce42f6d52bc', '5de8190e37e23459', 'f1c1bb1ee6d4c97d', '0c16bfd1cc432c9c', '322426f484cbd0ce', 'ed67e326199a5cae', '8c035759dce975d6', 'b4d99586fe24950f', 'd402be368f70797b']; context = [[36, 80], [214, 247], [21, 56], [11, 55], [13, 53], [31, 68], [19, 54], [149, 192], [130, 164], [10, 59], [8, 57], [8, 43], [7, 58], [85, 126], [180, 216], [101, 152]]; loss = 0.024932 low_pass_filter = 0.300
+Epoch 0: | | 15519/? [2:27:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15520; scene = ['7159e040bb4a1617', '2a92f857a0af6e4e', '299b743eaf266969', '356b98ea4de24f44', 'dffc33139384124f', 'c28fdeb0046c50f5', '1af152530e6445e3', '4d45a366bcfb2824', 'ad8ade2ca4c3cd7e', 'fa8b2ee0f22990e3', 'f3d5fa05b2ee8b01', '2ac5b4fb1ff0cb07', '9808d034c6fe86e2', 'a89ab21f1556eba1', '99a2ea0f961156c2', '6dffc7fe830bbe27']; context = [[24, 65], [17, 55], [16, 61], [7, 42], [110, 149], [19, 53], [42, 75], [17, 60], [224, 259], [68, 113], [69, 114], [1, 38], [7, 58], [141, 190], [55, 103], [21, 70]]; loss = 0.027786 low_pass_filter = 0.300
+Epoch 0: | | 15529/? [2:27:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 15530; scene = ['7674a792dc7d4813', '9805373c2288a1dd', 'ee3298a5cd65a31e', '0845841350913fc1', '7ad3231c24e827b9', '3f80d145e396a258', '7a01f2fd6c6a119a', '1401a2ebe30f8654', '82c480b92e7f291d', '4a20c466e50b402b', '2de9f3585e79aac0', 'ce25ac41ba703fe3', 'd312969570f038a7', 'a3374e65e7ab2960', 'b402605edf8cf6a1', '5ab36cfc1904db97']; context = [[8, 52], [23, 73], [12, 60], [100, 138], [112, 154], [71, 106], [85, 123], [23, 68], [68, 116], [7, 57], [23, 73], [28, 63], [104, 139], [18, 54], [5, 45], [197, 234]]; loss = 0.032772 low_pass_filter = 0.300
+Epoch 0: | | 15539/? [2:28:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 15540; scene = ['4d81bb017abfd365', 'b4598653ccfd0f54', '90f1b2ef803358d1', 'a88e6437ab1b4369', '820299d31eaed2b2', '55ae1e73f52a00a7', '12c95526a738c719', '1c5ea1ec854c472f', 'd6a97f5d2988757e', '3cff75a214377cfb', 'f8b0f3569f34e541', 'e141faefbd36799a', '1d2345a0eb0edf4e', 'e4a6c17773949334', '7951d4e068da5808', 'c3d654a6b7504b0b']; context = [[31, 80], [40, 80], [207, 253], [0, 34], [0, 40], [64, 112], [2, 36], [111, 151], [132, 166], [202, 244], [68, 109], [92, 126], [28, 69], [26, 75], [99, 137], [60, 104]]; loss = 0.029587 low_pass_filter = 0.300
+Epoch 0: | | 15549/? [2:28:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 15550; scene = ['417a1b0f11a38cb6', '9d87291c4517b496', '5014fb135ed72420', '8ac154751b6b5d23', '61e12c1cbc989d8d', '7ed85889128d8edc', '0d00b18b284e51e2', '152bfa6dd2ed2d91', 'df87424ea7d30296', 'c3a524b4d053b421', '93d6fe08c5fe3965', 'c119ecc8f4393c06', '9af1d032591b57af', '7419ce7f5cb808ee', '66f718b2953961d4', '0246dfe96b27b4ce']; context = [[212, 260], [91, 140], [139, 183], [69, 114], [24, 62], [16, 49], [128, 172], [15, 66], [43, 94], [27, 78], [0, 41], [2, 48], [62, 97], [65, 101], [96, 143], [44, 94]]; loss = 0.025646 low_pass_filter = 0.300
+Epoch 0: | | 15559/? [2:28:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15560; scene = ['24afdaf557163887', 'a61bf175ff0c558c', '0784b8d4f7f9bfa3', 'bc787d93d069b4e8', 'aae61e6589b8e3e5', '8e30d1edd7e8519f', '584ec590c61d0ff4', 'fa4cf258c22e3ea5', '064ba7c987abafd2', '121c1244b78f5ae9', 'f02c031979b429f4', '8e1ceae5a39fc47c', '0a371400a6eda9d6', '2edc486cc51c35ea', '57859a70dfbd78d4', '0ce35beba18e98c5']; context = [[30, 68], [100, 135], [128, 166], [7, 49], [3, 44], [34, 69], [37, 76], [9, 59], [55, 97], [39, 89], [22, 68], [19, 53], [10, 60], [8, 49], [146, 195], [13, 48]]; loss = 0.021728 low_pass_filter = 0.300
+Epoch 0: | | 15569/? [2:28:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 15570; scene = ['020f438641a03015', 'e461d2ed6a501cd5', 'eb1d9b967ffba68e', '784844653a9eda83', 'a59dc16c6fa70e09', '513a12aeb585199b', 'd9e96e2b5b31e9c9', '05da3b30242484e5', '34528b0d18d84da0', 'fbc5036fb7f22807', 'a6b152d906ff93cf', '5932e0e2376c15e0', '570b7d81a8e5816a', '0d145cdbd83b3184', '7071b77237833c65', '910d55e2a4c79d16']; context = [[31, 73], [79, 113], [3, 54], [55, 103], [50, 92], [8, 55], [21, 54], [7, 52], [26, 68], [35, 71], [98, 137], [53, 88], [38, 85], [37, 78], [3, 38], [153, 200]]; loss = 0.029120 low_pass_filter = 0.300
+Epoch 0: | | 15579/? [2:28:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 15580; scene = ['8743d6f5a3c7d7d4', '1832ee4a98c400fa', '0e431041305e5bf8', '78549c211ed0592a', 'fcf4c93bd50c4f2b', '06e5dbf49d6375ca', '3181deb623385396', '75cb48a4c8049279', '3e7a68178efa113a', '2fb42c372e8039f7', '8eefc5250095af5e', '16a6225598708d12', 'ab81540435e624af', '7fa3478bcc7f7267', '2f38640c40521949', '4163aae5c14c2259']; context = [[59, 110], [107, 150], [20, 69], [115, 166], [40, 88], [5, 39], [59, 106], [24, 71], [78, 120], [65, 107], [59, 106], [7, 52], [30, 68], [19, 58], [11, 47], [0, 47]]; loss = 0.027184 low_pass_filter = 0.300
+Epoch 0: | | 15589/? [2:28:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 15590; scene = ['9b6a57a6ff02dd12', '577c560e66207737', '8318c0eb37a154a4', '8568c60d6f777386', '412804362c1bce61', '4bd13783695ed549', 'b9b418fb1cb8b12d', '1ce140bd016b2813', 'af05e9f84b56ad4b', '0880f556a19d07f5', '641310a2d9c88eab', 'ec5be7aa42eaa9b0', '404cd10c9173fd1d', 'cb710e31defb94b4', '251ae194af7da941', 'bd43b98348b9eae0']; context = [[4, 55], [0, 33], [30, 71], [167, 207], [11, 56], [31, 67], [23, 64], [46, 90], [194, 235], [170, 220], [24, 73], [202, 237], [44, 83], [97, 134], [8, 49], [46, 96]]; loss = 0.026691 low_pass_filter = 0.300
+Epoch 0: | | 15599/? [2:28:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 15600; scene = ['045a00b4448730ad', '7adf869eb170f616', '57c0f11046ecaace', '258d0991293a33d8', '525fe1b5f060ee0a', '6405e2d406e1b757', '562f4e6ffc1fa73a', '59afe8faa2f0f8fb', '4b9331dd72ca018e', '43cba52b80f1a32d', '534ccdcfb6aa0d89', 'b339af8ae4be1558', '5ceeb5c81e19c07a', '8f51f8b6290e8f6a', '765072fe8bbb37d9', 'f77f3694a3684e13']; context = [[9, 46], [11, 46], [28, 74], [16, 55], [10, 57], [127, 162], [118, 163], [57, 98], [28, 62], [132, 183], [114, 147], [85, 133], [89, 128], [135, 170], [25, 61], [22, 64]]; loss = 0.035759 low_pass_filter = 0.300
+Epoch 0: | | 15609/? [2:28:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15610; scene = ['2a3cd50ab76ae202', 'c99ebaa0555a7955', 'defd0d8f19b0a08c', 'e0698b31d9918c54', 'c9f6bfaec51028db', '15ea13de45382666', 'eeb48c7ba92e3e36', 'b3b45ff1b4002fc7', 'def88f4446e088ca', '53f468f8b9c2ea20', '83e93a8efadd5629', '089cd75a075b8808', '9a00dd7d0e69b57a', 'b25b63d8a5e5ce25', 'b9d53ceaf20bc6e3', '9e0aee54a72d5c8a']; context = [[2, 51], [75, 116], [64, 103], [35, 81], [216, 263], [131, 164], [7, 47], [1, 44], [39, 88], [9, 47], [41, 74], [30, 80], [47, 80], [2, 37], [3, 37], [0, 46]]; loss = 0.027490 low_pass_filter = 0.300
+Epoch 0: | | 15619/? [2:28:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 15620; scene = ['9b1512f328b4450f', '57619c7c9351d848', 'd2b2042b2e6b74ed', 'f3072e703636a2c7', '1f7447faa4714980', '8e5527062b4f2c23', '3813412122be551d', 'c7533d969421eabf', '8099a24d802a278d', '5eff6d0d581c8fb4', 'db176a808671c27f', '88d76ec515558fcd', '692b896991d89a54', 'daaf2bb9684ce136', '3f804a27d3921230', 'f92fc931ecf41163']; context = [[50, 96], [40, 90], [3, 38], [41, 84], [98, 140], [14, 55], [79, 124], [21, 55], [103, 147], [41, 75], [65, 108], [52, 90], [7, 57], [127, 163], [144, 177], [31, 70]]; loss = 0.026334 low_pass_filter = 0.300
+Epoch 0: | | 15629/? [2:28:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 15630; scene = ['07486563a4a6767e', '0f541eb9c47f2749', '3e228d07ae6f8c54', '9846f3379c2b8fad', 'd94eba604f88e9c3', '882182e89dd66eed', 'ff004771e31d89f2', '8b51e270df0c9284', '3c2c6247ba2354fc', '0728256e1cc24f2c', 'cc64c0f4b6918914', '215eb0b87decb587', 'd7adc331c74563b7', '1fb9683df0428231', '486b548dfacda9fa', '75b018db77600c92']; context = [[91, 128], [7, 41], [0, 38], [23, 74], [72, 105], [22, 70], [4, 37], [13, 52], [9, 56], [27, 70], [81, 121], [19, 56], [95, 144], [31, 78], [11, 63], [17, 66]]; loss = 0.025687 low_pass_filter = 0.300
+Epoch 0: | | 15639/? [2:29:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.000train step 15640; scene = ['2437ee5f02184c6d', 'c6d6e4afbfc319bb', 'd6443c4840318df3', '77e8ec64a7434643', '89b74454e7eddf45', 'bfc0d31e9c828e4c', 'de4f11e84313cbaa', 'aa9ebfca382e6f15', '222ef9ba2f4b2abb', '01ec2ce3367f411f', '66a853c95cdd96a4', '0b718aacf2ced2b6', '75407a58e5087d22', 'a75d465bcee1386b', '4f640c7c51e4ae6b', 'd8f07d36280784a2']; context = [[2, 35], [36, 70], [9, 59], [0, 44], [8, 50], [182, 220], [59, 103], [6, 55], [69, 110], [17, 62], [72, 116], [38, 80], [3, 41], [1, 35], [22, 67], [43, 83]]; loss = 0.026987 low_pass_filter = 0.300
+Epoch 0: | | 15649/? [2:29:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15650; scene = ['045578e7f6e44c6b', 'dfb061f20fc8514d', '9f97ffb17cabb0f5', '0b6a05518f22f588', 'efc96d858a68abbf', 'a7bb034467f46e0d', '27e447609b6ec782', '066e63a6755acf80', '3c5242b434fdef8a', '0ec6f123efb145d8', '0badb8c0dfa8d328', '87e825ae30a124de', 'b62bfc8b7c12625e', '2cfc0d81293f8b81', '9453fa28dfd12dfa', '5d02873ad626d986']; context = [[38, 90], [45, 93], [174, 215], [9, 49], [14, 48], [124, 164], [19, 68], [17, 60], [102, 149], [83, 133], [143, 187], [151, 195], [99, 141], [27, 78], [16, 60], [55, 89]]; loss = 0.028768 low_pass_filter = 0.300
+Epoch 0: | | 15659/? [2:29:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 15660; scene = ['627d8b1a65c08482', '810f5259de1dcd97', '3d1b5179f6509fee', '4d0c3fee830fa3b8', '9e409d0392d4f763', '387b69e395b27574', 'e4f49bede305510e', '43ffa708c75c05b3', 'dd06e9116d7be16e', 'dc48fb4d76502068', '9a177d5e00f6c9a0', 'e60e83f6a5038716', '9988a33ae078c5ab', '0664d28ff022567f', 'c98d6a4285ef869f', '32c01e25cd9ebe0a']; context = [[79, 115], [40, 85], [3, 51], [23, 73], [200, 235], [51, 97], [41, 81], [50, 88], [54, 103], [18, 57], [169, 219], [14, 61], [88, 121], [16, 67], [0, 52], [7, 54]]; loss = 0.026064 low_pass_filter = 0.300
+Epoch 0: | | 15669/? [2:29:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 15670; scene = ['adf6f584f6b81a71', '73e25c85530d3add', '4615c8c9f285bfee', 'c500094ffc2ab45f', '4651d4c3b87caf3a', '0ae58df051e6e444', '0820210cf29ef425', 'dccf91e2bca52097', '2de3d943aa0bf9e4', '6d71b3b243c17a2a', '267723fe1f811072', 'afb2780ec2449b62', 'e88232bf59271bc5', '98d868340d6c40cd', '03e8f213357b9616', 'cee9068dad0a241f']; context = [[143, 177], [62, 98], [17, 61], [55, 105], [0, 40], [52, 94], [2, 40], [140, 175], [51, 100], [127, 178], [4, 43], [0, 52], [130, 170], [26, 64], [10, 59], [58, 103]]; loss = 0.023131 low_pass_filter = 0.300
+Epoch 0: | | 15679/? [2:29:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 15680; scene = ['9837661a38ea63e5', 'e9d11d18a0abff33', '23132b7df2da8457', '69b8747c662bc454', 'eed1f22c71b845b1', '92362c407ae31300', 'f6ec5537c276e88d', '51b622049a721290', '063dc505e73135af', '9de7790c7be4dc5b', '592f02d9a81deedc', '2cbca2c38b796af8', 'c01ce746e8786ee6', '67f5335d95ac7bbf', 'f7244012cfb7173a', '4ef6254d4a4b8886']; context = [[30, 64], [45, 96], [155, 202], [24, 66], [59, 99], [7, 52], [1, 38], [38, 79], [20, 68], [23, 70], [12, 46], [45, 80], [41, 84], [223, 260], [0, 52], [69, 109]]; loss = 0.028446 low_pass_filter = 0.300
+Epoch 0: | | 15689/? [2:29:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15690; scene = ['6772bbf66ea84c2e', '24e2d1df4ded73d6', 'a7f4634cdbb5bd73', '133df6db7dd9dab1', '885672bd54db44a3', '3308f38305b81cbe', 'cb1ab7efea5b0b3c', 'c77423c3ad02ee63', 'f5b005cd4438e2c6', 'cf26b918eb1d935d', '2572d5318c4a894c', '47998e79ea520baf', '87a283e357cece3f', 'd1ab1dff073d6d37', '203636cf0b2f7d99', '4d873311d7febb22']; context = [[25, 65], [2, 44], [85, 129], [168, 213], [87, 125], [102, 146], [26, 74], [19, 64], [18, 67], [57, 102], [1, 53], [27, 66], [1, 46], [69, 117], [12, 54], [7, 51]]; loss = 0.026075 low_pass_filter = 0.300
+Epoch 0: | | 15699/? [2:29:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 15700; scene = ['d4b69051df78f431', '77f590d17dc1650c', '0a6cec37175b38a3', '7858fe677913814a', '2b15d2104d444b68', 'b31aaf00447c4ebf', 'c99aa7df2058b71d', '8886cbb535544844', '55428a720f942c57', '4a9f884be62db548', '644a9f3df2f15167', '1e6ac7ff278da5ea', '8bf7a3026e68f0a1', 'cc64e4850a717e39', '5fedfd178c00aebc', '77cc3f3a320b57a2']; context = [[219, 254], [32, 69], [20, 64], [0, 34], [52, 98], [36, 79], [6, 45], [31, 74], [0, 47], [176, 223], [8, 57], [162, 202], [119, 159], [18, 62], [41, 84], [37, 70]]; loss = 0.026533 low_pass_filter = 0.300
+Epoch 0: | | 15709/? [2:29:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 15710; scene = ['dd5cc7120648a275', '50bc6fc9fe828039', 'e55fc688b34e198b', '07db10e08f44575c', 'ecb34e3502829299', '026b2018d1a368b4', 'fffb42151ab2e284', 'e762c9f70e3db83e', '9d4fc2fa0f094cce', 'ec281daa9b16da44', 'ae0fe2e4c42b40b4', '1909a0ae859eadae', 'f79bd22508670c3c', '1fc68db949b1305e', '8d33d96639017dfb', '011dbae1fc189e93']; context = [[23, 58], [94, 145], [78, 123], [132, 183], [206, 249], [102, 144], [3, 46], [1, 35], [11, 58], [8, 60], [147, 190], [15, 62], [41, 91], [117, 152], [0, 41], [17, 50]]; loss = 0.031435 low_pass_filter = 0.300
+Epoch 0: | | 15719/? [2:29:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15720; scene = ['39de2c74747ce67a', '37cc00c2e4737bad', '56de1091c01be96c', '347d7c1f3516f732', '209aaf944169c4b6', 'b583f64a01c212f2', '2dd4348bf334f7f7', 'b3f2183a0220f98e', 'd6fefe45e58fa3d9', '556c98e247270631', 'ff8f49bdb17e5050', 'cc966a9b2af2232f', '616d045c5963ecb2', 'dac88abfc46437c8', '9ce909d08d97390a', '8181f645b467863e']; context = [[9, 60], [14, 60], [6, 47], [69, 103], [46, 98], [48, 81], [55, 100], [21, 54], [100, 135], [47, 87], [4, 42], [127, 165], [40, 90], [59, 96], [73, 111], [59, 96]]; loss = 0.026479 low_pass_filter = 0.300
+Epoch 0: | | 15729/? [2:29:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 15730; scene = ['230cbeb79d01d4db', '6df350016bf650c7', '6b495ce9634d2fbb', '9ebd3a2bb6da391f', 'a4db4f86a3f6a3c9', '8135ed07e9e2e03c', 'db02cd4ba6a027da', 'fb45a86f6154e126', '02df066d7f46a16f', '9f1812584f956d1e', 'ffcd77dedeef5a79', 'c21477e7fb261749', '46ccfa19387927bc', '8ad5353c9d5ba782', '1fb2d9386803d4f3', '7ccf510b7dc89bae']; context = [[25, 76], [19, 71], [71, 119], [28, 69], [60, 108], [0, 41], [27, 66], [5, 51], [115, 150], [10, 54], [45, 82], [0, 35], [16, 53], [149, 190], [25, 67], [152, 187]]; loss = 0.028852 low_pass_filter = 0.300
+Epoch 0: | | 15739/? [2:29:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 15740; scene = ['dfe3cbe9ca43aea3', '45ebdd9175b3ce86', 'b1c3a59a1ab3a0bc', '51d9f2a11e49c9f7', '4b6c22c6b4bfc460', 'd1f2f6605b45e92e', '97922c05a252718c', 'ead8948883bfe2c4', '5265d863c34ec86a', '020b1d941cb8e03a', 'a9c850ff04f98a7b', '5d7e595f3cec8776', '3e1861f4f3b18e2b', 'd7324cfb14443dc8', '9b49446e9c10131b', '4cd8e871503e9784']; context = [[201, 249], [40, 77], [13, 48], [74, 113], [125, 163], [94, 130], [84, 117], [10, 48], [36, 83], [28, 80], [34, 74], [75, 111], [105, 148], [102, 137], [97, 149], [15, 49]]; loss = 0.029278 low_pass_filter = 0.300
+Epoch 0: | | 15749/? [2:30:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 15750; scene = ['ac5f32ad7fddf673', 'd71386474224c9dc', '7392304374659efc', '167b3ac16e642dac', 'f0f12c1c465e21e5', 'd9b2177e1999aa88', '72fe0395095d3abb', '13a1b330d7a46e0f', '8194a8208ffbdeb0', '4fdab020b0b1455f', '28fbb291c0ee869b', '9adb745c741c85e0', '15cd69baed84dc6e', '357c34539592a013', '482411a57b1a83f0', '2bf2d66d87db5178']; context = [[25, 68], [40, 77], [20, 63], [102, 147], [79, 118], [183, 233], [21, 71], [168, 216], [22, 60], [5, 43], [37, 79], [79, 116], [176, 211], [101, 138], [12, 56], [119, 153]]; loss = 0.029284 low_pass_filter = 0.300
+Epoch 0: | | 15759/? [2:30:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 15760; scene = ['54627c21e596981e', 'f91c62cbc0f2b02c', 'ac7dc6792b6062ba', '582b5253fe22067f', 'c3e2fbc921ed136d', '08720bf6d19825c6', '82347d56a4a55c27', 'fee08c59f9bf59f8', '263c8f62a1f40965', '19f950b6900d6176', '6fcb6588a79e44d1', 'ec1090f15ec68a1e', 'eb54a14f301214c4', '06beb74df9f499ab', '579a16674dbb8aad', '3e4608ca989fdf39']; context = [[181, 229], [5, 48], [77, 119], [12, 45], [42, 94], [0, 33], [130, 168], [13, 47], [15, 50], [146, 188], [121, 173], [13, 65], [17, 53], [11, 59], [115, 159], [14, 50]]; loss = 0.026769 low_pass_filter = 0.300
+Epoch 0: | | 15769/? [2:30:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 15770; scene = ['8d2c59bdb9014369', '6673eddee4bd795c', 'a8e32ae1b20ebcb3', '4a57afd9752e1bad', '2cdce95840a44fc3', '71c5ee090c757584', '10bd859ba72ecad3', 'ff9938339d5ad4fb', 'cd6bf9e3944d6789', '9e863a36ee9115ad', 'bb8a8b403f8a23c3', '5264f09e7e3f043d', 'ff03b01a47b02fa4', 'd396881ee4c975c5', '91641f310eabb26c', '94f14e83af2e84d6']; context = [[141, 185], [58, 105], [14, 57], [123, 158], [39, 75], [146, 190], [61, 95], [1, 51], [28, 64], [104, 145], [54, 98], [91, 141], [30, 66], [1, 41], [30, 68], [157, 207]]; loss = 0.027798 low_pass_filter = 0.300
+Epoch 0: | | 15779/? [2:30:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 15780; scene = ['d4b86af5ba8abf8f', 'e1b044176586f8cb', '2d9d2b3d1a7fb3ed', '1f268c1c41e9163b', '00e0fd7343aab586', '2133828ac8c5d46b', '5d7b4876fcc0084e', 'ffac01816b4f0f08', '283963dccb852f84', '9346423fdfeb4f9c', 'bd2cdd0dd1240f74', '8fb8f7489488f95e', 'c579294a2271154e', '9e1fe1ef4c790152', 'b95185f28371e386', '89e12b43d22bb95d']; context = [[103, 141], [1, 37], [14, 51], [9, 55], [104, 149], [62, 95], [22, 67], [55, 96], [13, 63], [13, 61], [65, 102], [169, 220], [38, 84], [24, 63], [13, 64], [55, 89]]; loss = 0.026252 low_pass_filter = 0.300
+Epoch 0: | | 15789/? [2:30:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15790; scene = ['3dea1f0782724e2b', '7eaa23d04951ffe6', '7e9532ad39a6f4af', 'c77420b51c2e86d5', '0713aabe3917739d', '3c4c974cb4c99ec8', '319f501207f10fa4', '21cdb061965f9b4b', '6b8d61bb315de80a', 'a812f58a9b8d7199', '4730e386adb917c2', '635f9dbac22cb932', 'f0ecfa6adc842a59', '54492a0ed1a54bcb', '86ef5385cdeaec8a', 'd1c051ae4be20ec4']; context = [[17, 54], [39, 86], [20, 72], [28, 73], [36, 75], [22, 55], [47, 89], [2, 49], [33, 66], [105, 145], [5, 48], [25, 73], [6, 52], [111, 144], [18, 62], [16, 57]]; loss = 0.029202 low_pass_filter = 0.300
+Epoch 0: | | 15799/? [2:30:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15800; scene = ['8f1aa461b4aa2287', '86e2391acd797f54', 'b7006bcf65234db8', '26d86239357fd6d1', '3a6ad27ec85f4a92', '92ab77a4c94e9884', '2c04b0f76743f0d7', '0b9ed52adb641450', '60d0e9b03889c72f', '59f044f15cfc9069', 'e6b1a3dd0e2943aa', 'fb325f19b7f264c3', '9a230b6fc69395e8', 'f432c05bc39949ac', 'e836296ed7a0fdf0', '1f5c35a7d319ab0b']; context = [[17, 60], [173, 211], [37, 82], [65, 109], [34, 79], [159, 202], [13, 48], [52, 93], [3, 54], [203, 240], [3, 51], [3, 42], [27, 76], [1, 36], [25, 65], [197, 240]]; loss = 0.032833 low_pass_filter = 0.300
+Epoch 0: | | 15809/? [2:30:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 15810; scene = ['d5cdc2e583d5b467', 'd4f453d8e4142691', '644800f97a604700', 'f4cc5be3eb218af5', '698222b8a31af80e', 'a0a668abdcf39b4b', 'e57879df5ac7495d', 'b2a6eb70de2ff1fb', 'ce892b6512829e44', '30d76af0e3ee8dfe', 'e19c6facac1c9624', 'b8ce556583bf4ea0', '13438083c0db8515', '21ff605ea895dacd', 'f92103729509cb02', 'b979ca290a8a2951']; context = [[61, 110], [25, 63], [68, 111], [47, 87], [126, 167], [4, 50], [111, 149], [121, 155], [0, 33], [127, 177], [130, 182], [32, 71], [62, 99], [21, 64], [9, 42], [158, 204]]; loss = 0.023840 low_pass_filter = 0.300
+Epoch 0: | | 15819/? [2:30:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 15820; scene = ['89a0f0553f7f2bdb', '82ccd88cc5bf3f8d', 'caa046f2d8a89f48', '11d03c85eb29a783', '652f860523c0d63b', 'da1ec5bea0dee3d1', '22a76d98bd2d748e', '1aa7e75df75e56df', '794b1f61bb53511e', '031747e0c810d3a9', '7cd094b7d8f5bfd9', 'f60fed9fc3631f3d', '340803fbb79f0221', '4cd943599530cb7d', '099bb96a791d9e52', '1f627e533763046c']; context = [[134, 181], [25, 68], [144, 190], [32, 74], [77, 112], [30, 81], [100, 139], [181, 220], [26, 68], [19, 61], [53, 102], [207, 241], [105, 153], [43, 94], [100, 134], [24, 65]]; loss = 0.028650 low_pass_filter = 0.300
+Epoch 0: | | 15829/? [2:30:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15830; scene = ['3e648c40cea30c08', 'c79896b4ed843482', '1fdf3f2fbffeacee', '40801df8576367af', 'a5de552e69fbce79', '07c83bb5515085c3', '9bb61a9d88d791f9', '2544ca0eb789f211', '125b8d9c4d67f6c5', '891803d5398b2265', 'efd2e6e6ed5904ae', '14e5c1a9d0604d37', 'bd624da49f0d72a5', 'e3bf238bbde4f6fc', '7a6869cb55388541', '70a833fc4f7bfcf4']; context = [[89, 125], [27, 79], [221, 264], [41, 79], [81, 120], [30, 75], [126, 177], [23, 66], [175, 226], [5, 54], [49, 100], [21, 61], [168, 212], [20, 68], [78, 114], [55, 96]]; loss = 0.031294 low_pass_filter = 0.300
+Epoch 0: | | 15839/? [2:30:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 15840; scene = ['11b21930ecad92d1', '88251d3dbf8b43aa', 'f91702f19351f9da', '496e6fc19c13a4bd', '0da44313ec309d22', '5d609018a4b47ad6', '3617646b6a1ba79c', 'bc45ffbcb07787ba', 'bd2c28a3a0be7418', '33843561ee71f057', '3b6aef604e395897', '060720e8ae94caf3', 'bc7da523a17145bd', '3ba071cad1d8193a', '224b6ba31f81d3d3', '70cd7845fc34f016']; context = [[0, 44], [7, 56], [15, 64], [0, 46], [143, 189], [48, 83], [160, 210], [11, 47], [2, 47], [43, 76], [3, 52], [15, 60], [143, 189], [21, 62], [37, 88], [133, 182]]; loss = 0.030786 low_pass_filter = 0.300
+Epoch 0: | | 15849/? [2:30:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 15850; scene = ['b25f2eb5c85716ad', '381998f0ac7badf1', '66761b9ba50563c2', '6c749a0d38f10dc0', 'a2a595d1841e657b', '90f1b40599b6c2c1', 'c14419e33d30959c', '44cd0f7c658cb252', '58adb59cfe7b51c4', 'e72032e8935bae10', '9c7b21689855c57a', '7dbe01d447572e2e', '6c8afce58a414579', '7bec1fe1236ba09c', 'a70416aac11a6d6a', '90b386235765d7e1']; context = [[67, 114], [126, 163], [74, 109], [25, 74], [3, 44], [84, 117], [47, 98], [55, 104], [1, 42], [61, 112], [37, 84], [70, 108], [8, 56], [34, 80], [36, 86], [81, 125]]; loss = 0.025021 low_pass_filter = 0.300
+Epoch 0: | | 15859/? [2:31:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 15860; scene = ['9525a072309439fa', '45f1e692a489735e', 'fac2c72daf724143', 'd6b7a7a9b3091886', 'e1a753667915e16a', 'f057b6113f2f4e6f', 'c390ed5cdfce1076', 'c99563873d943d5c', 'c363f4b694a2c012', 'f4df65cad56a10b8', '6c7342092714b3f3', '8bc03c01a2bf1cac', 'f833af59fc33c0d1', '014c6e9ee172a613', '85c6ed769781a2c7', '20d8f725ca43a225']; context = [[207, 253], [68, 116], [104, 151], [92, 136], [25, 62], [10, 46], [1, 34], [55, 103], [120, 169], [20, 72], [89, 125], [29, 63], [40, 83], [69, 121], [26, 62], [10, 50]]; loss = 0.025733 low_pass_filter = 0.300
+Epoch 0: | | 15869/? [2:31:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 15870; scene = ['8aa5ccddbcba09de', 'a0323e6cfefa3aab', 'c6fa11aa48b3c933', 'a7b6de0edf8b5430', 'bbca804a517e6761', 'c665a1d73ca58dd8', '8e0a13fe11111b79', '7e9f7d67297a7768', '314b6d851322d367', '413785b53d3a3df5', '8e2788fb59297024', 'd5dda4ecdcb8bf7b', '7957817c01b74355', 'b59e7acf1e36fb78', 'f474a94441893d23', '8fdc497d1fbe893e']; context = [[2, 41], [9, 60], [10, 58], [82, 133], [128, 166], [45, 91], [38, 81], [14, 55], [6, 42], [46, 97], [30, 82], [37, 70], [35, 75], [17, 67], [8, 57], [39, 85]]; loss = 0.028556 low_pass_filter = 0.300
+Epoch 0: | | 15879/? [2:31:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15880; scene = ['26944b37c513e89d', '2a113c6c2cc84df4', '23e97fd6b2865b82', '8f79259ea97e3978', 'e4154d0f6d9119e4', 'dc2ba641e3e2836d', 'e5982d41ac4b91de', '9c715fc7130e0184', '0889ef3ac98ca05b', '8069eabd958650df', '5c4e9cce07e2d371', '17071d654501dff2', 'd7e5e7068523724b', '743fd8885643d3aa', '9b663c4f43cd593a', '6b54e3dd731cf914']; context = [[6, 41], [28, 65], [37, 74], [20, 61], [24, 68], [32, 75], [29, 77], [23, 72], [25, 75], [8, 50], [64, 107], [98, 133], [150, 189], [11, 57], [33, 73], [49, 95]]; loss = 0.026841 low_pass_filter = 0.300
+Epoch 0: | | 15889/? [2:31:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 15890; scene = ['b54a253c34d3abc5', '6b8ac78e56a79da5', '357c89f4ad959174', 'd910d05a6cd0ffe8', 'a068b86d9b5390ef', '3082878a65ef500f', 'de20b01be1d8c09d', '87ae4812a3561fc2', '95de3fd23a9781fa', '2b5827ae7ea29a23', '92eb19ba377c51b1', 'd4e2a25798b8bd8c', '2605fa738da22f6b', 'c69dafa3925513e6', 'bb257de5acd70846', '5e7fb96b9b2254db']; context = [[54, 95], [85, 120], [198, 246], [14, 50], [192, 228], [16, 49], [186, 238], [11, 50], [36, 74], [8, 55], [0, 40], [74, 125], [95, 141], [31, 76], [24, 66], [144, 177]]; loss = 0.025070 low_pass_filter = 0.300
+Epoch 0: | | 15899/? [2:31:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 15900; scene = ['75d5c9bbea9d14d4', '2ba4f2b510634c96', '331108af4b30ad2e', 'fac649a98e1b40d0', '146061cae31b2eed', 'a507532d84d52eac', '56de6aba69f7562c', 'eb09c354c7506b21', '169413e8a42fb4b9', '10f56b77ee96005d', 'ec381df8f0ee69ee', '6e12dc992024cf88', 'fca0eab1caf12b55', 'b51de1745d3267b0', '7307cfcf9d01b573', '1bb610e8f990038a']; context = [[39, 72], [56, 89], [9, 43], [11, 53], [61, 94], [52, 100], [17, 66], [47, 94], [31, 81], [44, 91], [3, 51], [32, 67], [2, 35], [8, 59], [44, 91], [5, 39]]; loss = 0.028468 low_pass_filter = 0.300
+Epoch 0: | | 15909/? [2:31:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15910; scene = ['07e7737b84d40e6c', '77170c7b30cba891', '5403b46eaa12daf7', 'dcbf7bc637f98af6', 'feb1b82c2d94f99b', '703887d25535f7d8', 'e9198ff23ec421b5', 'bbfe784cdfde117f', '143c77dcaeba54c4', 'd778dab56091a41e', '1c90964b4a2c8e69', 'ddf5dc2fba294c36', '12d8b6233815c5ef', 'f5b6c988d6461e03', '695a69f73b976dff', '2e904050b495396f']; context = [[35, 79], [13, 56], [175, 215], [29, 77], [41, 85], [143, 189], [96, 136], [9, 51], [1, 47], [170, 215], [0, 34], [38, 71], [16, 52], [34, 84], [18, 65], [83, 119]]; loss = 0.026864 low_pass_filter = 0.300
+Epoch 0: | | 15919/? [2:31:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 15920; scene = ['6eac10c755bf5f3f', '9fea8e828b80af94', 'cd61a765852c64c7', '8e22a11df41edf9b', '3905d70e14fda600', 'a16d169ffb5bbf5f', '122403c4c6d5ba14', 'b2b54a7a6fe8ec22', '988e8a280bf6a10e', 'ff28a57154e30bd3', '2e83f434f6fd8d6a', '8e2322cd777dd1d3', 'f3b2c02f309d6712', 'd074517a27f42b13', '9a1aaf5f24aa2a5e', '9af3593da4c1d27a']; context = [[38, 82], [6, 52], [4, 46], [15, 54], [116, 162], [20, 57], [83, 119], [5, 52], [6, 39], [41, 85], [4, 53], [9, 56], [40, 81], [48, 89], [54, 104], [225, 258]]; loss = 0.027596 low_pass_filter = 0.300
+Epoch 0: | | 15929/? [2:31:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 15930; scene = ['87d6c736b31761f7', 'e50e974531275016', 'adae27b073e92904', '01560d6cbaa0676b', '43c173591e7de4e9', '25b3eb02b0915107', '19d3d89506b5895b', '2bac81068ebb0b09', '68df89951fc13293', '8f928217e91256c3', 'ac507b8e32118dd5', '85d8b40beee1e26c', '7db355afc543bbc7', '3afea6460cfb4f15', '1d5b1fd9addc5397', '06517d6ba13f0022']; context = [[21, 56], [52, 96], [21, 56], [21, 72], [95, 144], [72, 115], [2, 48], [26, 67], [50, 87], [2, 41], [33, 77], [101, 142], [3, 39], [3, 55], [14, 47], [163, 199]]; loss = 0.029679 low_pass_filter = 0.300
+Epoch 0: | | 15939/? [2:31:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15940; scene = ['35e7e6ab55881149', '3520fbb46c5118bb', 'a9ca79ed8588a002', 'c1d3259e0ae89e56', '4cfd2266eb4871a6', 'c519d78411b0cd89', '84748b54ef68ebed', '1fe4e7503bc05521', 'f1d1f2762f8c37fa', '8e09b2f26fc0427e', '36aeba1abbc82939', '4cf65a1289e50ab6', 'aa3ecba2e35dc6b4', 'daaa71034676a92f', '19cea6e80e53bf83', 'e1df1f2030a3fef5']; context = [[17, 54], [91, 139], [0, 44], [59, 102], [0, 35], [103, 152], [32, 72], [15, 52], [48, 85], [68, 110], [23, 58], [114, 147], [44, 78], [41, 90], [112, 163], [5, 41]]; loss = 0.026129 low_pass_filter = 0.300
+Epoch 0: | | 15949/? [2:31:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 15950; scene = ['438a753f3bd98e78', '2bb10d929829eb3c', '234951bcea9de45a', '28e273483a56fa47', '40aff09bb1db0174', 'eb75a65668cda3ca', 'f1c8dd3eca2368c8', '5480996847352f46', 'c8804ffcfe2475f7', 'c3edf21323a1d24e', '655505b3d15f6b6b', '2c6682e7b1e7b23a', 'f78c2005ec943a78', 'bdde1dd25164dc84', '2ffaa5b127dec0c8', '08c2813dd40cc55e']; context = [[58, 100], [43, 87], [4, 48], [39, 89], [101, 136], [1, 51], [49, 93], [0, 34], [5, 51], [65, 106], [15, 52], [2, 43], [27, 67], [4, 53], [35, 76], [0, 49]]; loss = 0.025093 low_pass_filter = 0.300
+Epoch 0: | | 15959/? [2:32:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15960; scene = ['532eb0e37a511234', '8e5dd54e57122902', '24813fb67839f779', 'c1388d6b637459cf', '50b60190fdc35512', '70b0c6943b3115ac', '7b1acd8b44eecea2', '22c21bc532c93ede', 'd4a43140ef5899fd', '11ac1c29846c8b02', 'f3fa1b0410bbc27d', '6b80686260e18b3c', 'accbf67c9f56fdd8', 'b24bbc29f7fcfdb4', '1d70b5a526ba3459', '8f4562de3344b971']; context = [[99, 138], [125, 165], [4, 49], [37, 82], [155, 203], [41, 84], [6, 41], [11, 55], [102, 137], [60, 99], [18, 59], [36, 81], [38, 80], [0, 34], [33, 82], [7, 54]]; loss = 0.030942 low_pass_filter = 0.300
+Epoch 0: | | 15969/? [2:32:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 15970; scene = ['f85bd402fe4e1ef9', '0284a77587f91afb', '6854b28be879be74', '1e2867c2e8c77d43', '1d82e9e8625277ec', 'a20b0fedac9e0cfb', '585fcc880c5e41dc', 'ddeb25acf3565321', '68374bd8e0215d87', '0e3c2218affc73d5', 'bebf0fdfe16b9e85', '7f8baad045c5ca63', '1ecea537488c80e3', '5b8f2b2fad8a45bb', 'd281c87258201ca6', '6338d0d353046ec1']; context = [[8, 59], [7, 56], [207, 254], [163, 205], [3, 44], [6, 55], [8, 49], [33, 77], [72, 119], [228, 277], [16, 55], [16, 66], [21, 59], [61, 110], [158, 206], [84, 117]]; loss = 0.027951 low_pass_filter = 0.300
+Epoch 0: | | 15979/? [2:32:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 15980; scene = ['7bb2c23612182a9d', '3397c19634a51370', 'e100eb211d35682f', '318abe4d1ad592d9', '5f4ddcc9bb426531', '1f214117250f089a', '313c2ce83a17b22d', 'eb11462985fca758', '4a97b9d7a1594081', '33ffb0b94cec7ce7', 'be52d7017ff4e5e7', 'd6fac69b6a6bd958', '87027bc295a0e042', '3913ed9645529901', '512f1df8266be984', 'cbd4e58711dded8c']; context = [[99, 147], [22, 62], [9, 52], [182, 227], [13, 56], [68, 118], [9, 61], [110, 156], [4, 42], [6, 55], [11, 46], [19, 64], [36, 84], [72, 120], [6, 51], [8, 52]]; loss = 0.025572 low_pass_filter = 0.300
+Epoch 0: | | 15989/? [2:32:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 15990; scene = ['412e281a886da27d', '643f2558eda66bed', '8c781fc7e4fbe58c', '7a5e04bee3dda37b', '81675b61b99083f4', '2d4b4dfacb4b212f', 'e3cd7c908d02a227', '348a9219e5bc0afe', '1dc1e640b33ca268', '36b7a7b6d4f3e005', '5f8a197f2b75268d', '9e8da4ecea8860e9', 'e6feeeadb3fb35fe', '72a14401b43b8331', 'c77436d9d154f154', '9ea0fdf572a31a45']; context = [[62, 100], [49, 85], [16, 58], [16, 56], [99, 140], [16, 67], [216, 256], [165, 203], [20, 60], [23, 74], [8, 48], [24, 73], [118, 157], [47, 96], [86, 130], [14, 47]]; loss = 0.027491 low_pass_filter = 0.300
+Epoch 0: | | 15999/? [2:32:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 16000; scene = ['9c1ca75548ec6b8b', 'bee93f08719659df', '4a00f3accd2b6b35', 'c1001ec26226f680', '036e3782aff4e532', '05324a471dc26032', '4b2bfb703d9388ec', '6c354e5ae8754e87', '250c146f5c1b625c', '6f3f3a75c4debb17', '489cdd787b754e4b', 'ed9409fa128e193b', '177375702f643304', '5240c4c921e861cd', 'bc500f01a9368065', 'ec986ec2a6009452']; context = [[46, 92], [3, 36], [12, 56], [144, 196], [2, 40], [165, 201], [27, 62], [25, 71], [7, 45], [16, 54], [80, 118], [91, 125], [57, 93], [70, 110], [27, 62], [99, 146]]; loss = 0.030726 low_pass_filter = 0.300
+Epoch 0: | | 16000/? [2:32:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000validation step 16000; scene = ['806010700f66cae6']; context = [[115, 155]]
+Epoch 0: | | 16009/? [2:32:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 16010; scene = ['a966e4fd3a47983f', 'ec236d46d30d1a91', '099bb96a791d9e52', '163996095d00bd33', '067a40549516856a', '832c5a630af6b768', '854e67be5e2269ae', '669a9eadc281948b', 'e81fd25426cbbad2', '00104677f98ca3c9', 'c35be1e2bf7eb5f6', '62a47e085a693e44', '16a7631f41a026e1', 'bd5ca4829283b11f', 'cd5d7eac3e6a67fb', '88ccb97711c25fc9']; context = [[64, 115], [87, 134], [41, 87], [98, 139], [39, 80], [49, 85], [165, 212], [10, 56], [19, 68], [2, 44], [7, 40], [79, 131], [39, 72], [187, 236], [44, 85], [18, 58]]; loss = 0.024275 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 16019/? [2:32:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 16020; scene = ['fd397ecbd5d6b4e3', 'caed302f388b799f', '3f1298920b357e7e', 'cbb08aa58b52b464', '44c28f409e27ad8b', '207e792a23761fa4', '1b4d4a89d8cc8f17', '027f149944096008', 'db602b5c46a6037e', 'fa002cd2e4b9f134', 'c4cb1c9fa8a8304b', '232abb354c423e81', 'a21e31b0fe500357', '177e0dd49919981d', 'd6399ff89e69aaf3', 'e105aaec07c73634']; context = [[66, 112], [80, 126], [12, 57], [8, 44], [22, 63], [5, 57], [45, 80], [0, 45], [73, 109], [9, 49], [106, 149], [44, 88], [38, 75], [27, 60], [12, 52], [6, 50]]; loss = 0.028616 low_pass_filter = 0.300
+Epoch 0: | | 16029/? [2:32:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 16030; scene = ['0ff43f7eefe141b0', '1505eac55db08881', '42d33d1990dc2827', 'd4592196f3d5e77a', 'd458f48f3cd5ae1b', '4089488b3adb6226', '6b3f79a3dae10bdf', '214eeca1d9687332', '3eb10f91b03318e2', 'd95573ce88bcad09', 'b1a0a95f2b59cf25', '9c04b2fd1b51976e', '9399f9e7caae9a7f', '349c6cc920ba7868', '5b7ab1a8989e1729', 'd44961c44fa2d3d0']; context = [[69, 102], [6, 57], [22, 59], [86, 136], [9, 52], [141, 185], [30, 65], [115, 153], [49, 90], [15, 64], [14, 64], [4, 51], [125, 163], [38, 85], [1, 41], [21, 56]]; loss = 0.024956 low_pass_filter = 0.300
+Epoch 0: | | 16039/? [2:32:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 16040; scene = ['23e13fe2f959531e', 'ddff7ff1e6732648', 'f8e1a14db84dc92d', 'd7dbbb4217556149', '7d7ee94b559dd5e3', '9e81739f44494c01', 'ad1ea2448e201fde', '4a96f781e5a5b768', 'fe8614f92636fb9d', '5228b0e43b41274e', 'bbfcd3d774e70b9d', 'ce583b2000bccf49', '7f724a91b84fff5b', '99781973423ad6f8', 'f9da565a8d03319a', '7678178333c89640']; context = [[30, 71], [28, 73], [59, 93], [24, 67], [61, 98], [138, 189], [21, 73], [19, 55], [26, 71], [9, 49], [70, 107], [62, 101], [61, 95], [15, 55], [47, 94], [32, 77]]; loss = 0.025568 low_pass_filter = 0.300
+Epoch 0: | | 16049/? [2:32:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 16050; scene = ['74cf3746f74cdb97', 'ad724e11e9933d4d', '09f1e74af56c268f', '9a447c89080e9b56', '0a13c96ef5627832', '95a5ea2e09ee418f', '9a3f0345a9b17648', '27c168a634509b29', '689eb631613c402c', 'de27d41e095228a7', '28f196b2974e01fb', '2c2448d7d99b29db', '2d209691d5658fd7', '39edfd183c4f5b5b', '6dfcc15fc9e4c026', '7b93668d35de0c1c']; context = [[14, 49], [8, 60], [51, 92], [4, 42], [92, 129], [26, 72], [6, 44], [73, 122], [48, 81], [1, 50], [97, 137], [34, 81], [89, 124], [132, 167], [10, 57], [29, 72]]; loss = 0.024069 low_pass_filter = 0.300
+Epoch 0: | | 16059/? [2:32:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 16060; scene = ['cfc5f9298ced6d9c', '69930f56840795cc', '49fc667ff679205c', '4102c95a9026d0ee', '122abb9fd46a2417', '8f669ff171c957d2', '9d3f195e8d854334', '55bbd93d2b19cf59', '9fa4b561fd7a9ac5', '4fc41d9b64125da5', '555b156680c99feb', '193772f5af285408', '8392047c3a89030d', 'fb38700b0e32e00b', '3be83d55d7047555', '15643ffa40271cc5']; context = [[25, 64], [50, 87], [32, 65], [20, 65], [126, 162], [1, 34], [3, 42], [89, 129], [13, 63], [7, 58], [54, 89], [55, 97], [141, 193], [39, 81], [3, 52], [0, 41]]; loss = 0.023349 low_pass_filter = 0.300
+Epoch 0: | | 16069/? [2:33:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 16070; scene = ['c197acc6fde0dfcf', 'dad6bfb8b50afd08', '903811649da7395a', 'a5be41b89080d8f1', '1087329ad17df204', '8ee3e8ac88f58012', '60e5d0d42a689e23', '03db304406c912d0', 'c1e40f36c5764350', '0485d17f26800fdd', '2f2587735ce5a386', 'b14ec6f019932d8d', '6759c86723a2f641', '74995a45ae7227d7', '71bf1918ddaf971a', 'ccb757722b46afd7']; context = [[21, 69], [202, 244], [62, 106], [30, 65], [15, 61], [19, 65], [95, 141], [183, 217], [9, 49], [36, 84], [107, 146], [19, 56], [38, 76], [115, 156], [67, 103], [96, 148]]; loss = 0.030080 low_pass_filter = 0.300
+Epoch 0: | | 16079/? [2:33:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 16080; scene = ['942849a0473c930b', 'd77e95065c740393', '03f22e694d8895e9', 'ff78f5cb272e5c78', 'dc4ca047ad86ad9b', '232e85250de4fc24', 'c55a5750182f4093', '06866305c62c0d18', '12c5cadb276b9a6d', 'a51b49467cdf0daa', '39f84480b6231105', '664b592c447448de', 'c26b11aa4b27231b', '2a556acdb9f72bf2', '06c10cad69c00868', '694c1768e5e9f5d8']; context = [[2, 36], [20, 57], [31, 68], [190, 236], [123, 168], [41, 88], [4, 38], [50, 92], [64, 112], [116, 154], [20, 68], [0, 37], [2, 42], [76, 113], [8, 42], [1, 49]]; loss = 0.025547 low_pass_filter = 0.300
+Epoch 0: | | 16089/? [2:33:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 16090; scene = ['4e03afc8fd599673', '59d81da76eda2f59', '8024a27b3138f205', 'de15597277b79578', '670c6ce1725eee7f', 'd523f26e68f76261', '24fa9fdc010bbdc1', '19360b0b524f15ba', 'd54a15f03943492f', '26d3838f22429b5b', 'aa35f6040d3a2e7c', '21ba0919a6554615', 'd71fb52ce45d8b40', '2a54ddfb55e75a98', '4ce03d1c50ea886a', '2aae28f3786c927f']; context = [[75, 123], [1, 46], [29, 63], [6, 54], [45, 78], [18, 59], [185, 220], [0, 48], [30, 82], [148, 198], [51, 86], [62, 109], [5, 46], [12, 54], [6, 47], [3, 41]]; loss = 0.026343 low_pass_filter = 0.300
+Epoch 0: | | 16099/? [2:33:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 16100; scene = ['4d53551d81b226fc', 'ff3735ed0adaee8c', 'f403f83a9cac4ba5', '3d313d32ec13ddd6', '8ae37caf70acdf7d', '6b5033800250e9d7', '7b8ae88adecfb87f', 'ffb34ef6c0333c37', '4305d5a5fab3efa5', 'eb1785431a9d20c6', '6281f1e8ec9ca792', '6d4ae1b207f911c0', 'c3708bd52a94f1e6', 'de34678ce0e6b0bf', 'f4bd986f95594e18', '717bf560f8a74c28']; context = [[10, 55], [21, 73], [108, 145], [40, 92], [112, 159], [80, 120], [6, 49], [13, 46], [102, 145], [24, 65], [9, 55], [1, 36], [6, 48], [11, 46], [10, 46], [7, 51]]; loss = 0.027703 low_pass_filter = 0.300
+Epoch 0: | | 16109/? [2:33:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 16110; scene = ['c9640bf752471029', 'eb0ad402ba6f499c', '79afe1c4794f8fa1', '9e7b0e6b126a0449', '1d5a30bb1267f67b', 'ef05d8c3781ff579', '5de5a2de423e339e', '3ab45b6c5ab921e2', '5d3f0ed6928762de', 'fbcbd0357e2fcc87', 'd56017b6d0b75312', 'ae57cf0694d512d1', '1258cd4602356ce2', 'cd3fa8effe44ecd8', 'f666844989675472', 'd646c5e06caacb0c']; context = [[59, 103], [12, 59], [14, 53], [107, 149], [224, 260], [58, 108], [8, 41], [39, 87], [36, 88], [1, 48], [84, 125], [66, 100], [68, 102], [12, 63], [123, 171], [26, 72]]; loss = 0.026554 low_pass_filter = 0.300
+Epoch 0: | | 16119/? [2:33:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 16120; scene = ['feebda925b98fa36', '960ee8aa94f850d3', '2ed847b87dcf204b', '7be1f03b786006fc', '9aecffee631175f9', '6d1341b87237bb6a', '20607fd2e40f16c9', 'c386044808598461', '3de83835be367bdf', 'ee900fdc0e91edc5', 'daff359bb3c9a72d', '82cdc87bb2169311', '23455f0f5d2567ec', '5ea5a5ed231c5753', '0f6bd86d073ffa4b', '8d2cc65bc5823183']; context = [[12, 49], [16, 53], [0, 34], [25, 69], [113, 153], [68, 106], [14, 53], [7, 54], [25, 72], [215, 249], [139, 190], [63, 107], [12, 59], [38, 72], [119, 162], [40, 75]]; loss = 0.026931 low_pass_filter = 0.300
+Epoch 0: | | 16129/? [2:33:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 16130; scene = ['46df912c9748215b', '24f3efef10906531', '5aac7a494a76897f', '693d2a2502b82380', '1a38cc93a374627e', 'c0e5426d518f8e28', '9c23d517a91893c2', 'b08d85cdcc4a4598', '5bf15bd410312ae3', 'a89692d834adee1b', 'f2063ca795462217', 'a16b0c66cd110882', '1babb7cb2562353d', '693c14e3393ef3e4', '0aad9b814aac4db8', 'c204e3171d16e39e']; context = [[27, 74], [36, 73], [19, 58], [40, 90], [29, 72], [10, 47], [60, 110], [5, 47], [2, 49], [50, 85], [75, 124], [44, 87], [1, 38], [88, 128], [116, 168], [49, 93]]; loss = 0.025154 low_pass_filter = 0.300
+Epoch 0: | | 16139/? [2:33:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 16140; scene = ['3b77ec0fcfd8373a', '998b9c32167e24af', '01b1548c7d661213', 'b101b30ff1f24357', '8dc02ad9f06c82b6', '4d0a07abd5489371', '062fc5a9d29cd651', 'c5f2e6776dac629f', '23f38236666f61c8', '121cc845c781ea3c', '5eeab6d3c4c70703', '46f0e94c1dbb3257', '9aefa60e71537b35', '87153716bf3914a2', '7a8435edc64d3caf', '55eef86e415f4f03']; context = [[14, 64], [31, 65], [18, 67], [18, 69], [8, 46], [61, 100], [4, 55], [19, 61], [4, 44], [8, 45], [9, 47], [43, 90], [5, 38], [66, 105], [72, 118], [4, 47]]; loss = 0.024902 low_pass_filter = 0.300
+Epoch 0: | | 16149/? [2:33:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 16150; scene = ['a90e228525bff876', 'b9347cd2020634b0', '5cad63fcd9593f65', 'b9f2c3a4424ef63f', '08dd606dcc7160a8', '3c67fba20c78c21e', 'e294b6a633246ed8', 'd1c64e750c7577d8', '5744a176a9fc4534', 'f3793c990ac5465a', '428542643720618a', '4c7c9544f65c89ea', '55cb413872623381', 'eda215a16c061de4', 'a8c140ac6c145549', 'a68112570746fce2']; context = [[53, 99], [203, 252], [29, 66], [3, 45], [0, 46], [36, 77], [5, 55], [82, 131], [65, 110], [170, 218], [52, 87], [16, 53], [5, 45], [73, 125], [24, 72], [32, 71]]; loss = 0.024324 low_pass_filter = 0.300
+Epoch 0: | | 16159/? [2:33:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 16160; scene = ['6c5028342f43fe8f', '5ac7c4ce642f7b05', '97c83a0fe6e01482', '615cc977ddbc7fb7', '59944b3a84a894b4', '94b22ba24f741784', '5f4855dff1edd516', '2266be279691ad87', 'cc0274732295be4f', '7e510b7eda35e727', '452c789c044fde02', 'b80b9aba988d63cf', '7955dc9105c4e408', '680137d105e33753', 'cc0940682885838a', '1756b54fd79326f2']; context = [[10, 47], [33, 73], [32, 78], [0, 45], [102, 142], [11, 50], [16, 56], [4, 55], [24, 61], [42, 80], [5, 57], [121, 161], [8, 50], [60, 100], [96, 139], [41, 90]]; loss = 0.029916 low_pass_filter = 0.300
+Epoch 0: | | 16169/? [2:33:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 16170; scene = ['d2d1e88def2d5190', 'dfb7bad8245ffc20', '8d892e1664b77b66', '40da5b52f6446644', 'e44d8ddd3535688a', '11a11baafff47174', '05bbc9909ddbc3b7', 'a27aaba0c4a2b558', '4cc30df9ffe2c183', '501c7fced48eba59', '7ad5e90fc8434219', '6465050cb3142bb6', '6897a323d67edc41', 'c4ae95c34e204d53', '3a5fdf1030d55af7', 'c1a04c25ccb94aee']; context = [[3, 51], [162, 209], [85, 120], [122, 172], [15, 50], [11, 61], [86, 135], [0, 48], [26, 72], [15, 66], [194, 232], [22, 69], [4, 41], [11, 62], [22, 60], [57, 109]]; loss = 0.027360 low_pass_filter = 0.300
+Epoch 0: | | 16179/? [2:34:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 16180; scene = ['ef8abc1b989a812c', '85cadcec687c2603', '978c374744572e28', '1828e5f16054f9f6', '513ae69355efb81f', 'a7bfe4e8a677da50', 'ca21a012336de65e', '8887b73febcefdd0', '0c4408a824f7ffcb', 'f85a4ca76cb47894', '7cdf2f89cc9fa2f6', 'd0832724bf5ee75a', '0bf19acfa975633f', '6bc33a0a3885c153', '27227056e078032b', '2d5367d8abf2a189']; context = [[31, 65], [44, 83], [5, 53], [59, 101], [6, 54], [67, 100], [26, 60], [35, 74], [57, 94], [2, 36], [32, 81], [22, 73], [124, 160], [44, 95], [38, 82], [38, 90]]; loss = 0.024153 low_pass_filter = 0.300
+Epoch 0: | | 16189/? [2:34:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 16190; scene = ['c2b2d238f9214068', 'c2d169718514f0a8', 'eb5e30080980212a', 'd6d035f2af6e9bad', '0ffd385bf24b6e10', '1d8f8faa8a7ec751', '600f168a8eabe775', '7f1b2d73cffaedec', '4c3217cbb966ce0c', 'c11e71447a5d1611', '1716266141ef92bb', 'f730cfa1c51fc30b', 'a80fd2f2a9bf34a7', '9c68a8a0af17b921', 'd961d08df94ee410', '29bf572c7b808da4']; context = [[6, 51], [15, 63], [41, 81], [19, 58], [164, 198], [5, 57], [133, 177], [9, 53], [93, 139], [14, 62], [49, 101], [32, 71], [11, 58], [19, 56], [130, 165], [55, 91]]; loss = 0.027064 low_pass_filter = 0.300
+Epoch 0: | | 16199/? [2:34:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 16200; scene = ['037e13cd4894ab2a', '5a04796cace71282', '71ee078ccf3a70d8', 'c27226cd8e195456', 'e76e794a0880ddc9', '6f5dadb86bb15604', '39c96ad5667df5f5', 'cc089cd07b364bb2', 'f1f75b1ccbb7cd62', '5044cfc350b5a41e', '76d19f39d78b5460', '383eef6f20986610', '460e5799fd3f2446', '2301bf4226984b79', '994a09c04868abe9', '912649b3ee94f486']; context = [[22, 65], [27, 70], [11, 56], [6, 57], [15, 64], [14, 49], [16, 54], [1, 40], [28, 65], [0, 41], [78, 111], [8, 45], [11, 50], [5, 42], [5, 38], [108, 154]]; loss = 0.030841 low_pass_filter = 0.300
+Epoch 0: | | 16209/? [2:34:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 16210; scene = ['e78a9b4f74b7295c', '816849c78197db5c', 'd5933e65e109bd10', '892d9fadbaba9e08', '170e14dfe6029879', '1db8db266bd7b824', '27707265ec825ba7', 'd28dd035c45d7b06', 'b495905da7f31147', 'aea600cf5857c796', 'e56faa3956de9664', '315d75f711d441e7', 'e070e207b2a27686', 'eeeef9bad8464592', '86c2513b349c1bfa', 'cd1b750af1701dd8']; context = [[4, 37], [30, 79], [43, 96], [83, 119], [90, 128], [82, 123], [49, 88], [8, 49], [53, 99], [19, 59], [62, 101], [160, 204], [8, 57], [22, 61], [69, 104], [4, 49]]; loss = 0.030632 low_pass_filter = 0.300
+Epoch 0: | | 16219/? [2:34:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 16220; scene = ['23640056e4b21902', '3835880de7cce2a9', '1087329ad17df204', '6759c86723a2f641', 'b14ec6f019932d8d', '74995a45ae7227d7', '2f2587735ce5a386', 'ccb757722b46afd7', '8ee3e8ac88f58012', '03db304406c912d0', '0485d17f26800fdd', '60e5d0d42a689e23', 'c1e40f36c5764350', '71bf1918ddaf971a', 'b16cebdce42a2fb6', 'b27bddaf7c71a0e6']; context = [[18, 69], [5, 52], [21, 62], [42, 76], [12, 63], [60, 105], [30, 76], [147, 197], [16, 51], [46, 81], [21, 65], [73, 107], [67, 110], [34, 77], [33, 75], [149, 189]]; loss = 0.026603 low_pass_filter = 0.300
+Epoch 0: | | 16229/? [2:34:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 16230; scene = ['836250796ea45b6c', '6e10a046c2ed0765', 'bf8a73a9b01ba974', '6d981f9c15daf9ab', '0eed4548041bea8e', 'bc2844e0adbc5a7c', '8aebff137f25796f', '7ed7024ec9041f1e', '6bcfa5f2e496b97f', 'd026c1b01c69d9fd', '0bc21d918e81588f', '1e1322a60331ebaa', '4c48be787e8731b3', '08858c86a58ce340', '32df4544077b104b', 'c2de1d81f1dbb6fb']; context = [[10, 50], [88, 121], [95, 136], [34, 77], [112, 145], [67, 115], [23, 60], [17, 54], [9, 44], [120, 166], [34, 86], [5, 38], [10, 58], [64, 114], [91, 129], [132, 184]]; loss = 0.028574 low_pass_filter = 0.300
+Epoch 0: | | 16239/? [2:34:38<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 16240; scene = ['e6b17da4f5f8185a', '3f030393b67f422a', 'a94a86b19490f511', 'be5fc0ef45cefad8', 'b0f18cc31444daf2', '23f2830afef538db', '8e6f50914c157483', '7a8f70ff4a5b546b', 'db7d9e8a2214ea12', 'bb210d97a67bbe25', '631faabe036acfbd', '13457154dbd7bf5f', '409992fcef38c5b3', 'eeac9962eca476e8', '0b7b84c45ac83e42', '5bea8db2d4f7856b']; context = [[8, 59], [35, 80], [46, 87], [18, 59], [1, 54], [69, 103], [13, 65], [18, 59], [15, 60], [19, 65], [33, 70], [102, 155], [25, 75], [191, 224], [2, 49], [15, 59]]; loss = 0.031946 low_pass_filter = 0.300
+Epoch 0: | | 16249/? [2:34:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 16250; scene = ['c2c61e3082375bd8', '6c0ef012029b30f2', 'd88fa63cc32b7683', '87d6d6a8bfe2e405', '2bf5c8f7b285bf5a', 'c60574d85b952188', 'b34dcbb038fc410d', 'c1fa698a3e5a622a', '271e4b6a0ec3226c', '1de0e7fd0503b25c', 'b5e71c71a3b90d4a', 'd392836ab1339907', '3863be12bc41d802', '1e69c0ba9e7fb023', '63513ee2e5e74f65', '0dc7065a7b99d535']; context = [[85, 135], [150, 201], [2, 52], [45, 92], [239, 272], [154, 192], [97, 140], [34, 79], [80, 117], [27, 75], [11, 45], [0, 49], [0, 33], [23, 61], [51, 100], [192, 230]]; loss = 0.030419 low_pass_filter = 0.300
+Epoch 0: | | 16259/? [2:34:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 16260; scene = ['4c047689861d16b2', '3c00ec04c71aeef8', '1562c1508e0a378f', 'ab4eb07b5cd0708c', '3262a32f1f8f63fe', '113e7641cbeecce8', 'd37cef38aa4a372c', '97ca51807dd1ccdb', 'e8c358caad0e0900', 'c6a0f60507c5b23e', '65941d6210e92cfc', 'd4294f7d5b241d04', '6311f7f59a5b58bd', '0798c66d382f3f33', '9783eab48a41e20f', '2f95a104b58aef0c']; context = [[24, 66], [0, 42], [51, 88], [115, 159], [21, 61], [30, 69], [1, 41], [122, 171], [131, 181], [16, 65], [10, 47], [33, 86], [13, 57], [0, 42], [5, 53], [27, 80]]; loss = 0.027948 low_pass_filter = 0.300
+Epoch 0: | | 16269/? [2:34:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 16270; scene = ['c81116e9985d9e29', '959a7457a468f670', '94b22ba24f741784', '59944b3a84a894b4', '97c83a0fe6e01482', '0f917244fa7a3d9f', '2266be279691ad87', '6c5028342f43fe8f', '615cc977ddbc7fb7', 'd56392a9d88c822b', '3a0187dbeeea94c2', '938de9ed21c7c620', 'bd0c6bf55d5f81a1', 'c8d798b5fddf3e82', '73bdc7d6ab5f0561', '4403bf38a10deaed']; context = [[216, 263], [45, 83], [0, 45], [56, 105], [6, 48], [229, 274], [24, 69], [96, 136], [37, 85], [43, 79], [38, 74], [2, 39], [141, 181], [68, 118], [37, 84], [2, 36]]; loss = 0.024254 low_pass_filter = 0.300
+Epoch 0: | | 16279/? [2:35:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 16280; scene = ['f67fd4d084e3bb70', '5f0904e6c3f20898', '1921f0aa77d99890', 'db42164d6ef63c4f', '1acbe14fa8b1d045', '9cf341f92e48f7a5', '8fec9f5bb360d613', 'e2101e24b745e35a', 'bf8d7d53329bfcde', '398387e65925128a', 'ddd8a48c9a8ddca5', '5f19088fcdebb2c5', 'a210d76ab2d20a1f', '87ddb273a2668496', '4188a5e607ad1fb9', '80fdcecdeb194bd8']; context = [[16, 52], [32, 66], [26, 70], [13, 50], [6, 52], [26, 65], [12, 56], [56, 97], [15, 55], [19, 56], [0, 34], [30, 79], [26, 63], [186, 230], [23, 71], [7, 42]]; loss = 0.023985 low_pass_filter = 0.300
+Epoch 0: | | 16289/? [2:35:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 16290; scene = ['f8b1d2c720458382', '4f27c51e6150adc0', '151aee58a753e2b3', '0ced4934341f8375', 'ac28e9e484e60c4b', 'f838cceee133ed54', 'fbf9cc8007a64014', '8672d4dcdf75c91e', 'b2d9d8616512d1dc', 'f94f4ec2ae3e18c4', 'd0f9511f71afe975', '6b0f6154016a4fd5', '891648f976ef8493', '2b026a3e98536fb5', '33e06b0151d0c869', '7071582ccab23b21']; context = [[187, 238], [169, 220], [0, 33], [1, 54], [61, 109], [107, 153], [18, 71], [52, 99], [10, 56], [27, 61], [34, 73], [19, 56], [33, 67], [46, 80], [39, 89], [14, 66]]; loss = 0.029740 low_pass_filter = 0.300
+Epoch 0: | | 16299/? [2:35:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 16300; scene = ['325ca089610a7226', '3256cf35e6abfe1f', '2d10a1bc4e9f5fe2', '03333aa4887f26da', 'ca866a5dae5079a7', '6bf4232300f914f8', '9e233268774cce82', '97c61bf4019ef230', 'a9ed4a87c1c6b665', '73a06caaa807e329', 'dfd336dfa3c2fb00', '57262e32f60a57d7', '4d549d57084d7a1d', '3a7baa3f05310611', '0883f1f1781e205c', 'dad3930a5a5ff06c']; context = [[18, 52], [11, 47], [102, 139], [11, 61], [0, 33], [28, 74], [20, 60], [38, 84], [6, 46], [224, 274], [7, 42], [5, 57], [97, 138], [58, 108], [83, 120], [30, 82]]; loss = 0.025905 low_pass_filter = 0.300
+Epoch 0: | | 16309/? [2:35:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 16310; scene = ['55395ce6b8cbbe3f', 'dc987c9d1fdd26dc', 'cf5703d3e8c55fca', '5e156c6e69d2c5f4', '3c0d87cb48662854', '12e1a1a104427117', 'e321918f2c1dad3d', '1706922b35a131c1', '0279ce58d78444e9', '298229a37fabd908', '7e3f87e5affd253f', '8e5b8134c3e523b7', '3d1834e1cb8a0a56', '0f62fa07d5678c66', 'eb44011752cb1c5c', '11d1412ed987535d']; context = [[114, 167], [34, 77], [52, 92], [10, 46], [26, 60], [33, 86], [41, 93], [28, 74], [1, 39], [11, 45], [9, 62], [2, 35], [17, 50], [1, 45], [4, 46], [7, 50]]; loss = 0.025598 low_pass_filter = 0.300
+Epoch 0: | | 16319/? [2:35:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 16320; scene = ['238a28384742ad6c', 'e0ca058fbb73495e', 'f51bd3c5d50335b9', '80df049a2df21988', '5817b7ccc056f135', 'd75bc06e3fc14333', '9b6abb583f61a99b', '7bb2a36d347cb804', 'c09623e3e470aa73', '2c8690e7abc59e99', 'b4db2573043a97b9', '6ffbea16a4bbbb0f', '0912e6bf4e300703', 'f45d9e8e8e264fcd', 'd5676429e2acba8e', '36f128eb7317284f']; context = [[21, 62], [70, 106], [3, 40], [58, 107], [44, 94], [43, 83], [107, 148], [15, 49], [56, 94], [14, 60], [4, 56], [13, 61], [146, 195], [9, 58], [23, 56], [11, 46]]; loss = 0.028715 low_pass_filter = 0.300
+Epoch 0: | | 16329/? [2:35:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 16330; scene = ['f5db0bad3ebe96e3', '7bdeaa5ddcb319c8', '982d9146fc343fa5', '6d924b8977d59cbc', 'dac3810c49d3ab7b', 'ccc8e2dab9b9e5c8', 'ecbacc0f6e82298f', '91e6d5db234847dd', 'e407e438aa7e9206', 'ec4db803b81a0bdc', '4646bbb28f1eae0e', '0e877f29a64985f6', '2d2956eda43da92c', '03ebe8f7060a0adb', '17eb179606c65453', 'bf18f5ce237cd08c']; context = [[0, 50], [38, 72], [6, 40], [20, 59], [154, 190], [0, 34], [33, 80], [32, 65], [1, 41], [2, 36], [16, 62], [30, 63], [25, 73], [16, 63], [11, 47], [184, 232]]; loss = 0.027615 low_pass_filter = 0.300
+Epoch 0: | | 16339/? [2:35:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 16340; scene = ['6d82a86ea798d28e', '5801bd8ed3baed75', '7b698e19de628b10', '4b868c1b9815ead6', '58862a8fe2c91894', 'bc7cc2b25b604fce', 'd31dab63cc54c59e', '2c8e2b99b8d5b036', '6bb1fe38f50ee2f6', 'dca0f0eacbccd9c8', '6a98a5412a5aee02', 'f989c56011d46722', 'e211852f55d383e8', '803cdca952362ddb', '36e81bf863b582ed', '767c62f619b15386']; context = [[17, 59], [231, 278], [0, 35], [18, 59], [25, 60], [22, 64], [5, 43], [49, 86], [93, 135], [48, 84], [10, 56], [14, 57], [2, 43], [93, 132], [193, 240], [55, 94]]; loss = 0.027286 low_pass_filter = 0.300
+Epoch 0: | | 16349/? [2:35:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 16350; scene = ['842f3619d4a71d3e', '0303844b61f8e7e8', 'c69e635efb9af3b8', '12e365426a204bfe', 'ea1b098bc21eb64b', 'c0d9b8245553ea43', 'e5d6c55082393e34', '791154aeb41aebe5', '0f334f40ba81525d', '544a78b22bc4b00c', '62705f8c22b2c80e', 'bb03712511acb358', '4c500c935499b76c', '4346bc65cbbf2d07', '15e37857ba740b8e', '79dca8946db32bbf']; context = [[19, 59], [38, 79], [22, 73], [5, 57], [33, 76], [35, 84], [36, 82], [39, 78], [26, 71], [49, 86], [187, 225], [3, 44], [23, 59], [1, 35], [4, 44], [16, 69]]; loss = 0.029811 low_pass_filter = 0.300
+Epoch 0: | | 16359/? [2:35:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 16360; scene = ['857f9e94ae854991', 'b28e405bcbcfb7d6', '35e10ff7ba26bd0c', '9c6a1dbd69cfffe5', '8e93cbe00c1bd4b3', '7186ffd763a25cfc', 'fd9c7be97215e846', 'b4f3501bfcf7f1bf', '8205f97f555d77b1', '800a7f75d3738c1f', 'bf9428779bb4c4c9', '212e45bab1774843', 'dc41c0081c0366a6', 'a4040de9d995b7de', '21e2fa0645ea6c62', 'd6076dda77bf4667']; context = [[11, 53], [37, 82], [18, 68], [157, 206], [99, 150], [45, 88], [64, 106], [17, 65], [111, 162], [21, 57], [86, 125], [6, 57], [23, 71], [52, 97], [21, 67], [22, 64]]; loss = 0.024895 low_pass_filter = 0.300
+Epoch 0: | | 16369/? [2:35:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 16370; scene = ['5f14e0e70310b263', '6a18f39c2e334256', '117a51993d9a7060', '2073ba65bfccbb0b', 'cfe012ee13f32184', '9dafc61a5619845c', 'c4217c1a6b2d6381', '7cb7cf6f9813487e', '4b4d97c54ed93160', 'c0198b22b5015afd', '1acf1fda04e66de3', 'f892051838c9ee27', '6fa4c2007a0bf94f', '7a92ae8d981688f4', '9974ef630b3b0063', 'fcf802fad585ff72']; context = [[6, 59], [0, 41], [6, 54], [129, 162], [27, 80], [121, 166], [0, 46], [18, 55], [18, 62], [118, 171], [8, 59], [153, 191], [54, 97], [20, 54], [68, 110], [23, 57]]; loss = 0.029111 low_pass_filter = 0.300
+Epoch 0: | | 16379/? [2:35:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 16380; scene = ['78d70ed425551787', 'c158b65df6e45293', '194ab22b4bcef56d', '03a510451bcafdcb', '499f2465f28c27cf', 'cb6f76288d4df310', 'bab9bbc2d9b69a46', '4674c4000136f387', 'afbcb424f59b922b', '63cff13813cbc4ac', '65eb90461a63a1b3', '4beb0dd348a2c905', 'fc4b023d8244d9a6', '571879c55dd10963', '0e0e4a867359f360', '3bcf3bcfc5d5c365']; context = [[24, 68], [57, 95], [137, 176], [11, 52], [16, 60], [5, 52], [32, 69], [0, 37], [21, 67], [12, 59], [19, 70], [29, 66], [2, 46], [31, 75], [24, 72], [14, 61]]; loss = 0.029071 low_pass_filter = 0.300
+Epoch 0: | | 16389/? [2:36:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 16390; scene = ['093704d9160df32d', 'c3804606ec41751f', 'c2cd8e47380cba65', '4c9136655cb23d73', '8a74b55803fe2352', 'b5b81427691ebd8a', '8d5262c58268131c', 'd01f2d23a398ab9e', '738ae827526dca1b', 'f7ecc46b74e0589e', '4cdef6cc63fd9ff0', '4fe9b3f925a995bd', '6d4d98de946cf7ce', '37b17878bc99d25f', '576000b096d729fb', '81d476bcd985f471']; context = [[129, 176], [11, 56], [12, 49], [5, 42], [97, 150], [83, 129], [45, 90], [40, 88], [12, 52], [62, 110], [209, 261], [0, 45], [1, 34], [50, 94], [36, 81], [5, 57]]; loss = 0.025799 low_pass_filter = 0.300
+Epoch 0: | | 16399/? [2:36:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 16400; scene = ['084d2d0b34eb8054', 'ceef1805f7e75161', '054a098d517cd27e', 'd5960a4f8636bc77', '9620b0a596971473', 'a53cae6550f95a38', 'db46821f946ffb61', '3413fcf0a42522c5', '5ab36cfc1904db97', 'f080ccd0ba94997a', 'c19efa0eb9d3fad5', '33c9561e60c5c3bc', 'af9da5714f72f597', 'ce25ac41ba703fe3', 'ca566378f9664a37', 'b402605edf8cf6a1']; context = [[40, 81], [120, 163], [20, 69], [83, 135], [0, 39], [9, 42], [1, 47], [3, 39], [34, 81], [121, 168], [4, 40], [7, 56], [35, 79], [5, 49], [43, 76], [92, 125]]; loss = 0.023315 low_pass_filter = 0.300
+Epoch 0: | | 16409/? [2:36:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 16410; scene = ['65498b8de03a0b2d', 'd3f9fbcfe7972afc', 'cc1bcd4f8463b2ee', 'fb66bb9f72b6434e', '930341b45d10af4f', '9b1e8fe75dfee472', '8c4188b975dcb7f5', 'ea8dd7144f70a1b0', '9fdeb0d1eeb78a3e', '7300487828343217', '186236edb339f199', '8caccc97dbc76d19', 'a490e682ff266afe', '669a178ba2796066', '30191495233db79a', 'd1971fe0b38b52bd']; context = [[10, 61], [25, 77], [81, 119], [46, 95], [13, 58], [48, 98], [136, 178], [41, 76], [9, 57], [0, 33], [53, 105], [43, 84], [109, 148], [167, 204], [65, 118], [74, 109]]; loss = 0.024746 low_pass_filter = 0.300
+Epoch 0: | | 16419/? [2:36:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 16420; scene = ['7b073ee15c14c7a7', 'b26be48a0dd1a901', '743ec6cf3ab79c26', 'e9b590c6993bcf66', 'ded696beba889e75', 'eb1379bef32aa39b', '24b36b96c868b758', '405e320c34ff7f81', '93739f7c17797663', '8dbd26a529a8e1fe', '36c57314d0fdc684', 'aa49c506f067e54d', 'b2a5bee383cc062d', 'cf93d34812c5075f', '58658f7de57fcdf8', 'a0e4826e71332c71']; context = [[18, 60], [31, 78], [180, 227], [7, 43], [34, 85], [134, 174], [29, 76], [111, 144], [16, 54], [100, 144], [1, 39], [46, 80], [31, 67], [63, 111], [24, 71], [80, 126]]; loss = 0.024893 low_pass_filter = 0.300
+Epoch 0: | | 16429/? [2:36:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 16430; scene = ['881f4e6f9198afcf', 'f22bffdad4d6241c', '3b5d67521155f9cb', '62ef70041034583e', 'fd8c58805a736806', 'a5a65324d2c3e20f', 'f37cf46fe1969cfe', 'e25fdd12f8ddbe42', '99b8d16252e8bf6a', '3f275d1a2b75c460', '00a5cfccd6508e96', 'a16abbd1892bf65a', '9c0dfa31d55ffc5d', '6c03ecd2106e542b', '8bb6a52eb7546b9e', '5bfc07e208fce700']; context = [[133, 179], [4, 39], [37, 76], [3, 36], [162, 197], [33, 81], [18, 53], [6, 40], [1, 41], [42, 78], [2, 45], [0, 35], [26, 71], [164, 197], [38, 91], [17, 64]]; loss = 0.024465 low_pass_filter = 0.300
+Epoch 0: | | 16439/? [2:36:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 16440; scene = ['1debdeb9340d8cdd', '492e813277026b30', 'af86e999648a354f', '2bdc0fd8c339c3f5', 'be9a21133b236d50', '3fe19edea0cd9de1', 'f95b063b60bd993b', '3e489712e33bc8f5', '450ff327b50c6693', '7c5ea27a35cf794f', '2cd9451a8f8f8f72', 'd8940a999b9fc9d8', 'd6e831e0be07e220', '355a73d3e6f9f555', 'a660d0f19f982875', 'e9102c12371391d2']; context = [[19, 65], [81, 120], [76, 115], [63, 101], [8, 54], [101, 146], [0, 46], [27, 75], [78, 122], [1, 49], [68, 114], [36, 86], [54, 87], [3, 39], [22, 61], [19, 65]]; loss = 0.025911 low_pass_filter = 0.300
+Epoch 0: | | 16449/? [2:36:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 16450; scene = ['cc62a8c047cea639', 'a8bb6bdd8e1832b0', '29d7ac3298d00f4d', 'ec5f9801aa83c8aa', 'fe0f537ed404cd7c', 'a2e2c2e66db9a05c', '27ff41a96f02b97c', '4b0a68d37406a651', 'aeaed8c44ce38f0d', 'a11b25880bc2ffd6', '04c4eef824be2a53', '6178471c127377c0', 'c36f204f4935f56a', '4c02e41f39fa24e0', '68e42cbc6dcfc725', 'e129207a6fb70b7a']; context = [[46, 90], [11, 46], [54, 104], [3, 48], [196, 233], [54, 92], [15, 55], [43, 94], [10, 50], [63, 109], [1, 42], [4, 57], [2, 48], [181, 216], [11, 48], [59, 96]]; loss = 0.025300 low_pass_filter = 0.300
+Epoch 0: | | 16459/? [2:36:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 16460; scene = ['c63798be59424d16', '9f589a27fa72f3fe', 'aff9cabf79a539a9', 'e019f256c86c3ffc', '835fcebe0e9a911d', '9ce015e049e794f1', 'd722e55b32424dae', '2c2893932017a26b', '0faf6d493edc4914', '279f2ecc43905a1a', '3333768ade9bae8f', '8b6fc7cfa0e1de13', 'a44aac7c4a36172d', 'de0b5f163df22bac', '21486972a7879594', '8b699056d31a8591']; context = [[16, 55], [26, 59], [31, 73], [109, 154], [55, 93], [3, 41], [0, 33], [184, 224], [166, 201], [59, 105], [63, 113], [65, 101], [6, 39], [27, 68], [11, 44], [2, 49]]; loss = 0.026259 low_pass_filter = 0.300
+Epoch 0: | | 16469/? [2:36:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 16470; scene = ['a7ca9f0764adf78e', '5d827aedb6743c14', '4c247f950b8fb4da', 'e204d13ff4cb3a75', 'a09912f76919c58d', 'bfee9e3164413741', 'e8e7f9455eb59fad', '65e2be2f97378beb', '355663af90d2391c', '47d92524baf3c7fa', '38a359f7eaeebdb3', '42b6210318e504de', 'fbec08173ef0bbf2', '9a10d4b47d4c3b2a', '81b75edec9e7564b', '9b08e398d3978550']; context = [[47, 84], [1, 40], [32, 82], [161, 199], [46, 99], [12, 60], [39, 87], [15, 51], [32, 68], [5, 45], [149, 201], [2, 37], [37, 90], [57, 107], [3, 52], [4, 43]]; loss = 0.027547 low_pass_filter = 0.300
+Epoch 0: | | 16479/? [2:36:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 16480; scene = ['ed61b288e9b09a03', '08866625f34ea7da', '8b1e6f0a13a3e381', 'd792c89551ca8937', '6fd4fa60b47978b7', 'e8dd93213b0a8a6c', '32cca1e716cb453a', '35fa6a277ead291a', 'bd8c187bb1893a47', 'e3590f3f596ed4ee', '337c6c2e1f2f13ef', 'ee251030064a2355', '0621c7675fab1418', 'cf55ee72cc78fb79', 'f71169f6eb2a1195', 'cf47d1935a474b1c']; context = [[4, 48], [12, 63], [88, 132], [77, 128], [21, 55], [28, 79], [11, 50], [24, 74], [12, 55], [24, 76], [86, 136], [22, 56], [163, 200], [34, 70], [66, 116], [1, 35]]; loss = 0.030040 low_pass_filter = 0.300
+Epoch 0: | | 16489/? [2:36:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 16490; scene = ['ce7f1f7743e50db0', '877ae8de01283e41', '43ed7dd9031ceff3', '3602ae51d17d2eae', '47746ad5be519fb9', '9ee5fa73fe99e590', 'acdbcb28dd49c56f', '82ea4274eeb55594', '55df23d234b7205e', '9880935a52f04afd', '4dee60242f765922', '01eb6c8433894c10', '2571e8a5ec86f29a', '0a42b3b1871b164f', 'd984e9eca1c93e8e', '076b919446a45cda']; context = [[8, 51], [60, 104], [94, 145], [175, 209], [38, 80], [104, 155], [183, 218], [38, 78], [60, 112], [43, 91], [109, 157], [192, 235], [50, 96], [10, 46], [26, 75], [22, 59]]; loss = 0.035320 low_pass_filter = 0.300
+Epoch 0: | | 16499/? [2:37:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 16500; scene = ['59e7b57c2b3e5193', '5d11abd1b3a2c610', '940a54fc74bf6989', 'f55cb7b3e9576297', '04db0c74a87be8d8', '25e15e214174cae1', '9c1370001dd0fce8', '9c981a5948974abf', 'b28237b49ddd8334', '1c6e6ef4307c9b31', 'cf931b8cbcea494f', '49e2ff49e509f289', '7c252390aca97d09', 'fe18c2f228437463', '85b2c7cb6c79a2d4', '3c9b19f5eec7e2f9']; context = [[11, 57], [89, 139], [74, 107], [28, 63], [15, 50], [43, 85], [42, 89], [16, 52], [18, 63], [0, 33], [35, 77], [67, 111], [0, 38], [73, 113], [19, 60], [0, 43]]; loss = 0.023718 low_pass_filter = 0.300
+Epoch 0: | | 16509/? [2:37:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 16510; scene = ['4025118849bd1fc9', 'c43ff457e5015148', 'c57d46c213a2a46a', 'e8ed0edf1828cc15', 'd9e0408022cf11f0', 'ccb63858c92da934', '4ef750416795cd71', 'bb145647bab18424', '197cb85cbf3263f4', 'ca09d2742228d149', '487fefd85739e993', 'a6787dcd34b17cfa', 'ee5b4ebbb76697ac', 'b317c015d408d7c5', '6f3192180e6c9291', '6ec14ec3dfb6a30e']; context = [[43, 82], [16, 56], [35, 81], [29, 64], [124, 172], [40, 84], [138, 177], [72, 111], [0, 50], [0, 34], [22, 70], [102, 137], [66, 113], [69, 116], [12, 64], [2, 35]]; loss = 0.022932 low_pass_filter = 0.300
+Epoch 0: | | 16519/? [2:37:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 16520; scene = ['194c15e39ebf1c3b', 'c424df62d1d99ef0', '250167e640ab77d1', '26eac1ddf9a6fd62', 'a790867f695ad987', '8b40751bc7ae46bc', '610d6f3a3f16c492', '939922a0254a05c5', 'e940cea9e3580353', '8db3a405c4842cd6', '55aa4a3cd7318e2f', '6dd2c631caf47e6a', '90d01e4b8ee39f77', 'becee945233fcda0', 'd26f678e625a520d', 'ea2618e237cec005']; context = [[32, 70], [5, 58], [36, 77], [92, 141], [13, 56], [37, 74], [33, 74], [37, 73], [225, 274], [0, 46], [17, 55], [6, 57], [11, 46], [25, 77], [0, 40], [12, 63]]; loss = 0.031503 low_pass_filter = 0.300
+Epoch 0: | | 16529/? [2:37:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 16530; scene = ['cb09920c02a2b6bb', '70285f05516940b2', '25bd820746058fb5', '9569fcfe82105f38', 'd93de5f6c62c01f3', '74c2c2c5287346b6', 'fc8aa2c335c15eb9', '15b37a12fbda65da', '6d5e73f24d60de17', '876b693d043b22e9', '29e96416e5219b28', '17f47ff41a55a6e1', 'e4b86bcc4becf58f', '7767685c39a88cf9', 'b992a00ff88142ee', 'e8e3024887fb5d1e']; context = [[117, 150], [22, 63], [43, 88], [61, 106], [29, 79], [107, 143], [78, 128], [52, 100], [7, 43], [45, 87], [200, 241], [57, 92], [85, 136], [24, 59], [147, 197], [33, 76]]; loss = 0.023886 low_pass_filter = 0.300
+Epoch 0: | | 16539/? [2:37:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 16540; scene = ['0446f3522cce8104', '28c643e2cd91f465', '245351b1b14b6bb9', '0ebfc63e0dbcb1e6', 'd737a4d00ba9eb96', '5a4a1a47759a6c0b', '2efc3baf2ea0c6ed', '4e442aff3cae4436', '0768f21ad0630461', '980bb6a8e697363c', '144751235f00d1f5', '1266df8efd97ae67', 'd4bd95f0a398f630', '9b45d2ca1091393d', '655bcaf421fdc40f', '383c79ab995746ce']; context = [[5, 57], [19, 61], [65, 99], [103, 139], [38, 77], [99, 137], [61, 107], [189, 228], [12, 46], [29, 62], [201, 253], [6, 54], [28, 74], [98, 143], [1, 42], [48, 86]]; loss = 0.026688 low_pass_filter = 0.300
+Epoch 0: | | 16549/? [2:37:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 16550; scene = ['69711e911821d37e', '06651a8cfc81ecd0', '1508350ec27926e6', '9a5226d734117ae3', '8c0dd4fb9f7d904c', '78bf163b6636f51e', '18e6ec722df65c3a', '596b54a850687238', '212b0a2dd86cce12', '504a6270d098ead0', '7eb04b1de022a341', 'c9c57f37b367d23d', '5a009a925d1f7941', '5dbcbba490ec1696', '008ec1473e4ce029', '0b3a912a284f41db']; context = [[7, 50], [49, 92], [7, 58], [44, 91], [67, 101], [32, 74], [13, 60], [1, 35], [22, 62], [21, 54], [79, 117], [8, 43], [44, 80], [43, 84], [51, 91], [156, 199]]; loss = 0.029070 low_pass_filter = 0.300
+Epoch 0: | | 16559/? [2:37:38<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 16560; scene = ['41454feb44f3cc7f', 'e93bb5f352f12779', '02ce170824e128dd', '1f5f168725874f3e', 'b9e20c6ca2630cad', '19d2cf167593bdb1', 'ca842b977ede6e8e', 'db1fc015ca238790', 'bc933b61d3c00879', 'a75db3b700245f5a', '7af65f2a557b7cfc', '91f3903b83e314c9', '49d7417d2f74b2e2', '9c2b47a9a5a229cd', '2371de80f56e9707', '7caf9a683e5004e1']; context = [[70, 112], [7, 55], [90, 139], [4, 37], [25, 67], [19, 62], [0, 33], [10, 58], [36, 78], [15, 53], [20, 70], [173, 210], [93, 140], [53, 89], [208, 260], [32, 81]]; loss = 0.025020 low_pass_filter = 0.300
+Epoch 0: | | 16569/? [2:37:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 16570; scene = ['9a32e97171dcdc9d', 'f78584b710d46fa0', 'e61c111b3956bcdf', 'ac0f95664c3961e1', 'f04477958cf96d00', 'eec912462d5e95c6', 'e2218bc3111b76d7', 'e95b823c237872bd', '2315795cf16ab002', '548abd0878bfb231', 'ac1670c77c47f6a9', '7ac6fe6b418993b8', '941e4f4114b4f932', '4bb641c3e5c902e4', '88c027f2e044a945', '1725fa1cae244fa9']; context = [[52, 90], [0, 44], [208, 255], [44, 83], [25, 66], [59, 107], [55, 93], [73, 118], [61, 104], [2, 44], [11, 58], [199, 246], [10, 57], [220, 259], [163, 203], [0, 39]]; loss = 0.027231 low_pass_filter = 0.300
+Epoch 0: | | 16579/? [2:37:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 16580; scene = ['160a5e836891dc9a', 'e2487e8621c1d42b', '00a5a09a0c68b59b', '9c8bf927b0761f2d', 'e78b09abb4df5292', '276ae8f6b469f3b3', 'a87240a7ca4f7f33', '7141d6c75e602276', 'aaee1476b3b12793', '7fd19d9b21ae1e60', '0dd520d7c9ae1242', '75b4cd7d12657847', 'd106596b3233f3c1', '5b84e5a4b0848d8c', '63cb8090d7354764', 'd347f976ced5d74c']; context = [[37, 80], [55, 97], [65, 104], [25, 67], [148, 185], [182, 233], [92, 139], [18, 58], [25, 72], [2, 41], [9, 53], [21, 54], [42, 94], [19, 59], [84, 135], [4, 42]]; loss = 0.027484 low_pass_filter = 0.300
+Epoch 0: | | 16589/? [2:37:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 16590; scene = ['6085ad40630a138a', 'c9ee1e12c5c90920', 'c88fe71343e3a0d3', '3ad98feb3c4e66d9', '57cfddd669e1b1da', '0bafd80c9e2ae41b', '376c7ff59babc257', '82fb5516a6e5c071', 'd931a9193e2395df', '81f4fc498ed094e9', '28a4394270ccaa8d', '60acba38edb03894', 'b6197b9b12d32b76', 'ba17dc92e29dd4b7', 'bcc1d58fad331d06', '4dd74d4d53abb812']; context = [[9, 52], [35, 85], [149, 195], [9, 48], [2, 48], [66, 113], [69, 104], [113, 154], [111, 153], [29, 81], [16, 54], [8, 55], [0, 37], [63, 99], [12, 64], [29, 81]]; loss = 0.027986 low_pass_filter = 0.300
+Epoch 0: | | 16599/? [2:38:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 16600; scene = ['49d32ba85482c428', '39d2744f8019224d', '5bd4d1f674a0278f', '015f881ba370e08c', '2fc85d06b56147e3', '367eaf0695769e06', 'dd5141d992727508', '5e323756316651e4', '1f239c3d12dd2cfa', 'b12d380a731ee016', '245538607cbf05f7', 'cfe1bae9cfeeab1b', '891d946e02df2fff', '997bd4fa68eadec0', '895921f7a73776fe', 'f0652b2d28100573']; context = [[23, 60], [36, 69], [9, 62], [46, 83], [6, 53], [0, 36], [24, 69], [6, 49], [15, 57], [112, 158], [28, 64], [15, 51], [20, 61], [93, 146], [76, 113], [192, 230]]; loss = 0.028052 low_pass_filter = 0.300
+Epoch 0: | | 16609/? [2:38:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 16610; scene = ['997190841d072d78', 'a353c5323b7e0cb6', '8e583ba05f91d104', 'b12fb462071f1eec', 'f9611b5d473cc69b', 'e5a7abc8fcb39e95', '1b557a9eebbab147', '4abcf4920859e7b8', '65fcc745c824ba33', '7c67c79eba0b95ff', '17520c287d5e4c23', '9bc1c2f13f879d20', 'e3267e9b09ec78be', '643c59587f0c6ace', 'de552e2c5d1182db', '83421bce3bf38f91']; context = [[1, 36], [14, 65], [24, 72], [1, 46], [96, 137], [35, 69], [33, 73], [2, 44], [40, 73], [0, 33], [7, 59], [73, 117], [179, 214], [1, 37], [21, 62], [0, 41]]; loss = 0.026376 low_pass_filter = 0.300
+Epoch 0: | | 16619/? [2:38:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 16620; scene = ['874990ab5347c13b', 'fa55a5c4e928c76e', '1d8cdf272844d0e7', 'dd633956afe48009', '8fd375312458cd70', 'be5fcdb076d77d55', '1e5630a1bf806a70', 'e86b478775b149eb', '0f7964b5630134fe', 'fc82d5366229a1a4', '90d6d007b496135a', 'efd3e783df28b0b3', '8ddffc7fdb1c965b', 'c8c4ca4eca6a4493', '39dc11e7396fa5f4', '384c333906ffc6ff']; context = [[49, 97], [196, 244], [86, 137], [53, 91], [108, 142], [4, 37], [52, 104], [205, 244], [9, 52], [0, 43], [14, 47], [124, 171], [59, 112], [40, 93], [20, 53], [112, 156]]; loss = 0.032696 low_pass_filter = 0.300
+Epoch 0: | | 16629/? [2:38:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 16630; scene = ['3083fb828649b8b5', '7c925f53e1814ec2', 'bc514648b0938a1a', 'd7297cc7a2f3e7e0', '1e4c7b6e4016e7f2', 'beb3094ce331d774', '48252dbf46e0db67', 'b82d41c62606a4ef', 'f5c3d0dba0b71ff6', 'b9e874c502b1faf3', 'a53872924436b2ac', '13729e96ff2f345a', '0cb5d3ad6b3a52b8', '6de65618fef3a792', '6bc3f69c7c3566e1', '8aac6e58ac48fd15']; context = [[24, 67], [89, 135], [29, 67], [10, 43], [7, 48], [90, 131], [5, 47], [38, 78], [16, 49], [49, 90], [117, 154], [3, 49], [104, 144], [46, 93], [10, 47], [65, 105]]; loss = 0.028882 low_pass_filter = 0.300
+Epoch 0: | | 16639/? [2:38:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 16640; scene = ['560319076127d040', 'e5b0abe398be6f94', 'c840e5b4075f8b10', 'bb7d9f42b30abb06', '42c7c30a9d8b0fbe', 'fcf176d504f6568b', '0196a7eaaa531630', '6aa7164b09ff6ccb', '8cd1fe5c1d816c1b', 'df05970fd15dc7ea', 'ae5e5dbd9e20ddf5', 'dc5fd47e44137f59', '6e4d322827dbfe13', '1ee2636c55442015', 'bd9a045455201b8a', 'd523e761452a2ad6']; context = [[45, 87], [18, 55], [0, 36], [88, 131], [0, 42], [5, 55], [49, 94], [45, 83], [13, 64], [9, 59], [24, 74], [224, 266], [15, 50], [23, 63], [104, 154], [8, 56]]; loss = 0.047181 low_pass_filter = 0.300
+Epoch 0: | | 16649/? [2:38:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 16650; scene = ['a9b70dd896f7e8e9', '1a76ad73eecd0b91', '0a3f340cb783c83f', 'ee3f3bcb1009b7b9', '1f9c765582d1ffac', 'b7b3c6a2d1d6dc61', '5e8bff39dc5bab67', 'cbd3d399620c0c8b', 'b3d77aa21637ed06', '7418538ade81e503', 'cfcadf0fe447c04d', 'c40eccb3fc4c29da', 'b86430392968f970', '3cd73f5f79d0989f', 'a126745e68e4fb16', 'cd1b750af1701dd8']; context = [[90, 132], [72, 106], [28, 74], [13, 53], [55, 95], [38, 90], [27, 62], [37, 80], [5, 54], [3, 56], [34, 74], [44, 83], [24, 68], [4, 48], [19, 60], [4, 46]]; loss = 0.026201 low_pass_filter = 0.300
+Epoch 0: | | 16659/? [2:38:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 16660; scene = ['48ba5d3eba7f107d', '55eadd0c79f625ca', 'a3a3b1ddde35d0af', 'fd416b7a03530167', '3f2cb8ac0da6c74e', '528b512ee4103c26', '0b2b86827d4d6a00', 'd33388f0d226900e', '36e29dd32c865d48', 'c89112df6cf82777', '75a03bf2bb77aef2', 'e2d87e16e404f4a5', '3ad6c4faa9fe5e60', '8160c9bb2be20ad2', 'bdc7f48c83230b3d', 'e290173c0fde2ae8']; context = [[12, 63], [47, 81], [22, 56], [180, 226], [21, 72], [20, 67], [14, 65], [44, 77], [71, 107], [116, 161], [75, 108], [0, 35], [13, 46], [4, 47], [5, 42], [47, 91]]; loss = 0.031890 low_pass_filter = 0.300
+Epoch 0: | | 16669/? [2:38:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 16670; scene = ['d507c913eddb9ac2', '2d9b94de9466e734', '7ec5403a77be6793', '1bb36d50ab9fd353', 'e8c5fdad60e58a8f', '920b80196dc8b79a', 'd1836ce4e817c104', '71de6eb329cc96bd', 'd1749b42c2b6082d', 'ab000b4f32ced111', '9aad28b8c911c8e4', '554eb9150ea16515', '2ba6db31b81feaf0', 'b373737df3e74477', 'bbdb60e0097e9ced', '95b37383d90fba88']; context = [[0, 33], [2, 39], [82, 133], [12, 61], [53, 99], [3, 54], [39, 74], [15, 61], [66, 103], [90, 127], [114, 161], [29, 64], [25, 73], [18, 66], [119, 171], [41, 74]]; loss = 0.029208 low_pass_filter = 0.300
+Epoch 0: | | 16679/? [2:38:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 16680; scene = ['8d856b3fe7b218fc', 'ba3f593f507bedc7', 'c0ea4f07034baf27', '0c67efe2da80d7cb', '6a046687caac99a9', 'f3b4df790b380643', '8c4146884f3b2e0b', '0e6408e3cf54fcbf', '833a186412602e0c', '1b5dd0e05a2659e8', 'dcab0d2b23297698', 'e96e8eac70fd14c4', '5c0ebf927a51f486', '926ea8590afa806d', '7483ea2572f76910', 'e62a1879a015a39c']; context = [[21, 66], [7, 52], [21, 61], [144, 180], [2, 38], [24, 62], [3, 54], [0, 37], [5, 53], [8, 48], [110, 158], [22, 71], [5, 44], [88, 125], [2, 45], [63, 103]]; loss = 0.021638 low_pass_filter = 0.300
+Epoch 0: | | 16689/? [2:38:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 16690; scene = ['96422d8d95f912c1', '1ac4cfaff40371ba', 'fc13b2d2ffbcffe8', '18e66f4ce4b016c6', '644b75fbb7a4ae21', '903f7c6f848de281', '5e1afe14aead7542', '77599310739d08b6', 'b5f5bd68eb8e3559', '8f6465a1108df3db', '6f8423afebbbbd25', '7fe9dbaa9948510b', 'abc3b644b75eae17', '2b7db567dee04ddc', 'f64fae58aadd8fd4', '522b199da9bbe5e8']; context = [[22, 63], [137, 183], [64, 107], [25, 70], [62, 99], [1, 37], [74, 119], [13, 50], [138, 177], [18, 59], [46, 89], [28, 80], [24, 65], [2, 50], [7, 44], [44, 94]]; loss = 0.026976 low_pass_filter = 0.300
+Epoch 0: | | 16699/? [2:38:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 16700; scene = ['4eec80e0fb6a8ac4', 'c9e4962b839dc968', '8970ad7f03d89ca3', 'd3d2180b3ad731a7', '92a9932b7fa61527', 'ce9deeefe10c3249', '22dbfd84cd374af4', '66d1245890c6990f', '293cd4ea27b9d506', 'd3e34d281b05cfbd', '4b1ee57bdbda4b1f', 'c7844a02eecf3a20', '57fea3ba60e21f7b', 'cbf08a650761cb10', '4c206a668c76614a', 'fdd1b75df1f41d71']; context = [[115, 161], [43, 87], [37, 87], [208, 245], [58, 91], [36, 81], [35, 79], [37, 88], [27, 73], [111, 150], [10, 47], [1, 48], [86, 122], [220, 263], [7, 60], [0, 36]]; loss = 0.029922 low_pass_filter = 0.300
+Epoch 0: | | 16709/? [2:39:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 16710; scene = ['04d616768a5d52af', '1a3e5a1b44f8ff30', '044648c2e23508a4', '9c7ec96e0cbf40c6', '5eea935c8a218780', '3dfc8ac22bab5f07', '01fb0d2034e3e06b', '7c7b689f1c4463f4', '2431c725d7485a52', 'fa5834342a26f1a7', '18560ebd5c866fe2', '5a40086fa7e40038', 'fcedc21510273dd8', '18e18c7f3e6482bc', '78dae64bda820a41', '9be854a74d88b726']; context = [[12, 62], [65, 109], [18, 65], [115, 157], [9, 59], [8, 41], [166, 200], [37, 86], [3, 54], [18, 68], [18, 60], [16, 49], [7, 40], [229, 272], [0, 36], [10, 55]]; loss = 0.026122 low_pass_filter = 0.300
+Epoch 0: | | 16719/? [2:39:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 16720; scene = ['f6a14acb31badb11', '5af3fa101b3b35b1', '8b3850a90cb424bd', '134ff951c2283cc8', '303d67a3e601258d', '6596ffa97efcd57a', '744f36678102a07e', '0cb5d3ad6b3a52b8', 'bc514648b0938a1a', '6de65618fef3a792', 'd7297cc7a2f3e7e0', '6bc3f69c7c3566e1', 'b82d41c62606a4ef', '1e4c7b6e4016e7f2', 'b9e874c502b1faf3', '48252dbf46e0db67']; context = [[35, 82], [47, 85], [156, 197], [27, 68], [14, 52], [0, 33], [11, 49], [127, 171], [17, 68], [17, 50], [13, 61], [7, 52], [31, 67], [8, 59], [79, 116], [2, 50]]; loss = 0.027208 low_pass_filter = 0.300
+Epoch 0: | | 16729/? [2:39:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 16730; scene = ['5f4855dff1edd516', '97c83a0fe6e01482', '3a0187dbeeea94c2', '5ac7c4ce642f7b05', '2266be279691ad87', '73bdc7d6ab5f0561', '615cc977ddbc7fb7', '959a7457a468f670', '4303746d8f23f16b', '2a61ab6496ec9188', '4f6984c28d90eb09', 'ed7099c368424996', 'bbda226808fce57c', '95c59cc52adedbc4', '8d8bd167d9a3ab72', '9af777f2db0a09a8']; context = [[12, 59], [5, 51], [18, 55], [7, 50], [30, 70], [19, 64], [65, 105], [33, 70], [29, 77], [0, 36], [20, 72], [30, 69], [64, 100], [56, 108], [84, 132], [21, 58]]; loss = 0.027102 low_pass_filter = 0.300
+Epoch 0: | | 16739/? [2:39:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 16740; scene = ['950e5a6e0fb54d44', '950264396c5a0767', '3c52aba6279f277c', '29bafea4e1c2b47b', 'ea2f644e1ae2e814', 'f48239bf83764a8b', '639e36e3a36a025b', '6ea3f9ffb32ea267', 'bd109e7ed7c027a0', 'fd772f6ff7936a2a', 'f5c8406a588131d5', 'f179064b7a845fb1', '8055c456d35e5747', 'f5f225a43fcecd0d', '446933c7668779a4', '836f0c4495d07958']; context = [[13, 47], [49, 84], [52, 95], [2, 42], [13, 57], [11, 62], [37, 75], [25, 59], [15, 51], [17, 54], [14, 57], [157, 202], [0, 39], [76, 113], [9, 55], [82, 126]]; loss = 0.036164 low_pass_filter = 0.300
+Epoch 0: | | 16749/? [2:39:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 16750; scene = ['558b37c5013253a5', 'c9aff096959107d9', '71f80ab4e9cbf2f7', 'f83ed991c4d270c8', 'e77831c1b48a833a', 'e456fc623facc848', '54ae80e682751efa', '3738d513d59db9ea', '538cf5bc7ab8cb9e', '4d09e3caa445622d', '5b7c70d9fd79a963', '0f710827f72bbd64', '9f9a401b7839cec6', 'a576a801c7d2ff46', 'fddbc6d91c32a72b', 'a77f347b88137277']; context = [[72, 121], [7, 48], [99, 144], [12, 59], [41, 75], [30, 73], [1, 42], [20, 73], [2, 38], [16, 59], [31, 77], [131, 171], [148, 201], [150, 198], [49, 99], [18, 63]]; loss = 0.028976 low_pass_filter = 0.300
+Epoch 0: | | 16759/? [2:39:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 16760; scene = ['6f20647f5a7ed154', '1629b949594b36b5', '9ab83ba6f3dee716', 'a8b56fce90c48de8', '98c237ae4512dea3', '2b8e43f68decbf09', '2205efb33334ea8f', '555b04ec3e3fc710', '6bb02bf6740f27b2', '3195df3ebbfdb9c1', '8b96a61e6f05c19d', 'c58bf448b40e390a', '538dd5c7aeb8a132', '67a807a77af5adff', '223679033769414b', '596b334e38aa8db7']; context = [[138, 174], [17, 50], [37, 78], [5, 42], [7, 49], [142, 176], [93, 135], [136, 189], [50, 90], [182, 216], [31, 77], [11, 61], [59, 93], [57, 98], [14, 54], [48, 88]]; loss = 0.028491 low_pass_filter = 0.300
+Epoch 0: | | 16769/? [2:39:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 16770; scene = ['0eab3863193dd421', '869e0400a977198a', 'f2bdcbd474fb6eaa', '829871f6aac182dc', 'f1b97299ba4e09a4', 'b6260001d0b9035f', 'b2d0cf16649a11ff', '7cfe674e154352e1', 'ea0a7e19773b74be', 'ac9cccdaaa5a82e5', '32026eaf9365e7db', '634550313f4a173d', '13a8f815ffa5c7c5', '2321b7480392d727', '714191750f8d607a', 'c70a7a553169a8fd']; context = [[23, 61], [3, 47], [157, 196], [11, 64], [37, 77], [76, 122], [19, 58], [9, 50], [133, 171], [81, 124], [184, 218], [42, 79], [4, 41], [65, 110], [117, 166], [60, 102]]; loss = 0.028471 low_pass_filter = 0.300
+Epoch 0: | | 16779/? [2:39:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 16780; scene = ['a0762a191cf2e312', 'b90f926bf47cd9d1', '31ae835b2eb61e9b', 'e20a4f5c2784fef4', '604e2e61caa05913', '482cd2b0a783cbf5', '377b8df58b1bcea4', 'ef610ce349b7310e', 'd78b7ca1fc737e45', '564f2112de1a31e6', '9e950a8db19553b9', '6c57ac55cbade318', '81a468d3d0771bd4', 'bff0f6c000bc59f3', '826f1e427bcb4f78', '1ec41f3828e1065e']; context = [[30, 68], [11, 57], [73, 108], [51, 99], [72, 111], [1, 36], [62, 97], [18, 62], [28, 66], [26, 63], [27, 76], [16, 53], [46, 83], [23, 64], [13, 66], [6, 49]]; loss = 0.027357 low_pass_filter = 0.300
+Epoch 0: | | 16789/? [2:39:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 16790; scene = ['d934b35f87276390', 'c4bdccc08c477c83', 'ec49c31e0ed06b52', '63c72633b167e05f', 'b597201478c9181a', 'd1540ecd58f06d9f', '67b85bfc841a71d7', '3e5b496f2549f58e', 'f7abb89a68f6b66e', 'd252ca12cb81ba14', '63833dc00510be0d', '817922fc5c11a43d', '00438c154e81cbd1', 'ca5b332151e25772', '9cd867f121e491ae', '9af973da0db34710']; context = [[55, 109], [31, 81], [35, 83], [37, 91], [37, 76], [24, 68], [114, 164], [148, 202], [60, 109], [25, 78], [50, 96], [35, 70], [2, 53], [32, 86], [11, 57], [17, 52]]; loss = 0.027806 low_pass_filter = 0.300
+Epoch 0: | | 16799/? [2:39:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 16800; scene = ['c424df62d1d99ef0', 'a790867f695ad987', '939922a0254a05c5', '250167e640ab77d1', '26eac1ddf9a6fd62', '8db3a405c4842cd6', '8b40751bc7ae46bc', '90d01e4b8ee39f77', 'becee945233fcda0', 'e68096411dbcfb80', 'f7e98150e81148f5', '172d7e9dc2acbdce', 'f0806f4f675052ba', 'd276fe0631793b12', '3d7b7b408f5369aa', '63ccdd61742e8f26']; context = [[9, 58], [10, 48], [6, 45], [83, 132], [17, 59], [140, 174], [45, 99], [11, 60], [23, 61], [115, 148], [121, 170], [11, 59], [14, 59], [55, 89], [16, 50], [29, 82]]; loss = 0.033281 low_pass_filter = 0.300
+Epoch 0: | | 16809/? [2:39:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 16810; scene = ['21f7836feb1b242b', 'aa4d43d0475497fd', '50efd0e453568e13', '1163ef0ceeaa9db6', '542fb98f0969665f', 'b5704443d4b5ce04', 'a677b452c1d32a1a', '05142a00b6495a1f', '4a5e00e5874c59a0', '5138570ee9fb39f8', '5a845bcedea8b147', 'd3de86460a44d56c', '8d802f615e1d7cd7', '24dc1ce125c61981', '2345c1b970fc7ed4', '666f5a578d31281f']; context = [[83, 134], [4, 39], [44, 98], [108, 149], [3, 38], [196, 236], [0, 33], [35, 86], [107, 141], [1, 34], [40, 77], [42, 93], [31, 75], [12, 61], [12, 46], [58, 109]]; loss = 0.023192 low_pass_filter = 0.300
+Epoch 0: | | 16819/? [2:40:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 16820; scene = ['cabfbc465785b68f', 'f40dcee8e5d60508', 'cd2a8b442f09b208', 'eaf53403cc8fc00f', '0db9e62369719bc9', '213f00b1b81a1208', 'fda5437ee76b48fd', 'a8cb13d02b8d08a7', 'bd182d46b53efd66', 'ad94a851400c5736', '38af842287d226de', '123647e02b47df3d', '33b0c1943b5521bd', 'bb4d83b6ed740f6d', 'ad671e492f0a9e7a', 'd72511cb9e41d03d']; context = [[28, 72], [18, 68], [1, 35], [115, 158], [1, 55], [9, 47], [53, 89], [17, 69], [42, 92], [65, 106], [25, 66], [39, 79], [19, 72], [4, 38], [73, 107], [15, 58]]; loss = 0.024756 low_pass_filter = 0.300
+Epoch 0: | | 16829/? [2:40:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 16830; scene = ['f62cafbcb5dc0acc', 'd363481754f5c78c', '558af3194bfedabe', 'bfb5f5711636d7a4', 'd9a1e79bb0bd315b', 'f96c98832d9c4b4b', '5b7a82cd75c44a7f', 'd553573faca5c814', '16e1c44254f04e8d', '4f202bd24cdf8dee', 'a3a5e373d876db0e', '524e550992aa6e60', 'c1f32a7a7ec37d39', '2eacf9db1843546b', '7300b62195688898', 'c495f01f294333ee']; context = [[196, 241], [4, 39], [151, 192], [165, 207], [53, 90], [19, 62], [116, 158], [17, 55], [46, 99], [50, 94], [59, 93], [209, 261], [16, 50], [1, 55], [49, 89], [13, 66]]; loss = 0.029422 low_pass_filter = 0.300
+Epoch 0: | | 16839/? [2:40:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 16840; scene = ['e4adb9e93fe8962f', 'f055075401468eda', 'cfdeec15070a0cd6', 'f08aa96535edc50b', 'f082dbd6772d5fc4', 'b6fd89bcc1a3e492', 'aa3b5c349a5b6bb5', '13626316610afcdf', '2afb4fb79374c5df', '2d5e417f2d32e8c6', 'a942c918e5a0a5a2', '528816af3113028b', '81241c1cd3ffd69e', '26d5677e0637ed14', 'afd894a4b5460a20', '1ba3ae46eda9f013']; context = [[9, 45], [4, 49], [0, 33], [30, 75], [121, 158], [76, 112], [2, 37], [30, 78], [29, 64], [57, 106], [24, 59], [86, 122], [98, 146], [29, 74], [0, 42], [15, 67]]; loss = 0.029945 low_pass_filter = 0.300
+Epoch 0: | | 16849/? [2:40:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 16850; scene = ['be5df0ca4b8aa89b', 'dd6ba5f92f331866', '3e728ab85f6d379a', '67748b0b9af1a23d', '6998b51bcccaec89', 'ba892f5e3631896f', '2bae15c9bc833a3b', '2b1474ef6b7f54c1', 'f41915d4a145f023', '0f1b3073367716aa', '35fd56526e0b499f', 'b4be0875a3ba2ef9', '828a0089d23ff57d', '262db70f07b5c256', 'b43ccacdb8b2f53c', '9db2375dad6ffbdd']; context = [[18, 65], [20, 56], [97, 149], [33, 67], [38, 73], [18, 71], [68, 120], [21, 55], [237, 270], [12, 48], [66, 101], [60, 93], [3, 55], [7, 51], [0, 34], [75, 112]]; loss = 0.026563 low_pass_filter = 0.300
+Epoch 0: | | 16859/? [2:40:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 16860; scene = ['5e7040c6384bdda7', '4a08d8aa17ee55a3', '3fd549f7eef1c12b', 'f1c5534a927740e6', 'c7215b566312abe9', '02dd8df555843071', '589af20d18528628', 'd467c876debd93df', 'a017e3c508e5c39a', '3a9e7a5c6602e858', 'da2332618f4fa3f2', '2a76acf0be4bee42', 'efd029ba74d35034', '35a4da1b96cb6e60', '937b5aa2a14d6fe7', '94a380cd813f4f2e']; context = [[14, 63], [31, 78], [45, 78], [9, 49], [16, 70], [196, 250], [96, 134], [3, 50], [108, 149], [151, 200], [30, 69], [166, 214], [120, 170], [47, 99], [133, 187], [96, 150]]; loss = 0.028468 low_pass_filter = 0.300
+Epoch 0: | | 16869/? [2:40:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 16870; scene = ['6e699ada5d23f8c9', 'b1ac6f21c376eed5', '188c4d1c3452fd73', 'a31eadf1684fcffe', '88938961b84f2cd7', '56c780409feaf822', '7d9f0a9a5c3551e2', 'eaf7c66419fde6ad', '64199c57dfb3dc4e', '96e895a56fe2a34e', 'da4f6bfe896bf2fe', '05661e760ecdfa96', '2374bc3470d48b9f', '8dba01274f32578e', '1c92d53dec160984', '5036537ac2e39315']; context = [[37, 83], [20, 54], [101, 140], [21, 75], [63, 105], [156, 210], [33, 80], [15, 54], [45, 97], [12, 63], [52, 94], [6, 59], [1, 48], [0, 33], [181, 222], [72, 124]]; loss = 0.026179 low_pass_filter = 0.300
+Epoch 0: | | 16879/? [2:40:38<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 16880; scene = ['634f920c02c317c3', '0b759c1c970bfe98', 'ee9f906c4e9e242d', '232a8c69d8f69af4', '194c25038fb3e6c0', '85f61a2f217786b2', '04c3209481ae9313', 'bb2026b2cead287d', '5f2e62b6917bab16', '9261780ce2ed716b', '0c6d43589658b86a', 'ee18efbe4a7eb53b', 'f2b30a3f90bd17c2', 'b348801a033b5ef5', 'b531cda2072028fb', '1c0829e90380c26f']; context = [[179, 228], [13, 66], [24, 72], [80, 118], [0, 33], [70, 119], [18, 59], [73, 114], [17, 55], [9, 47], [104, 138], [91, 142], [148, 189], [181, 235], [159, 204], [67, 117]]; loss = 0.024218 low_pass_filter = 0.300
+Epoch 0: | | 16889/? [2:40:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 16890; scene = ['c49e167a84d72291', 'd4b4ea66ce8976c2', '3cca42257738a064', '86c66c9de3f23f19', '45739d66bf8aa9d1', '961055a7dfa29f84', '388b447651d1a756', '4804f8a94c3f38e6', '8fdc56361649abca', '37e9852ebeead35e', 'd68e42512bdc7c57', 'fdff6d499fd2416f', '62eeeb4ecfb9d1cc', 'c38ba3bd81257841', '08181ef1861a03a7', 'a864c0d0ec25cb6e']; context = [[11, 63], [33, 74], [25, 69], [16, 51], [32, 73], [41, 92], [22, 75], [13, 59], [22, 55], [5, 55], [37, 72], [4, 57], [28, 69], [14, 57], [35, 72], [4, 41]]; loss = 0.025761 low_pass_filter = 0.300
+Epoch 0: | | 16899/? [2:40:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 16900; scene = ['14d89e024187afdb', '5addef32e61e7498', '70302975bde04daa', '3a4fb93324c90edf', '6cb7d29fa6e32c8e', '8ad12f82604831ac', '7fa8074110860165', '19fb248c2b403705', 'ef1196bf52c8c50a', '2bdb3406f16ec041', '8760dc9905cbb635', 'd1aaec1fc9be0aea', 'd54ea874f00250aa', 'f207cb485d4f1aac', 'c503b9ffcd10339c', '7b25f4b3c3a88b47']; context = [[68, 112], [65, 108], [222, 262], [91, 127], [4, 50], [39, 91], [66, 103], [114, 168], [29, 62], [1, 42], [37, 84], [5, 51], [2, 55], [5, 58], [13, 51], [134, 170]]; loss = 0.028541 low_pass_filter = 0.300
+Epoch 0: | | 16909/? [2:40:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 16910; scene = ['661b412c0ef5f819', '15a3783a993e55a3', 'da782b30b0b6bc41', '3408995412c71eb3', 'e83dca98ff6fdc86', 'c691beea7df05a40', '1eb45f47b1509115', '5bab9e56ca2eabe0', 'aa1e963ae2f0a73a', 'fafa77e0610a59e4', 'f3ad8ae9b2a860ef', '1d2da5cf4b75687a', 'bf1749022f7b7fc2', '1e8a9f8690b19a68', '1e4f512b8bd2b62e', 'ab5d20183d26c933']; context = [[26, 65], [92, 133], [7, 50], [6, 56], [11, 55], [150, 204], [39, 91], [161, 199], [0, 40], [19, 68], [60, 101], [60, 94], [21, 71], [53, 97], [18, 63], [66, 108]]; loss = 0.020910 low_pass_filter = 0.300
+Epoch 0: | | 16919/? [2:41:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 16920; scene = ['7c8c185289523ea9', '7dc6d699abce873e', '64cc6af0c7229fb1', '4d4f720dec4fa445', 'eecadb9a970dc48b', 'fd19e81423738735', '6b0d837f8a76bdfa', 'dc9a6a4fc9b636e2', '3b0f1085de3b498b', '12a77ae2a659adda', 'c0e445194231c60a', '9acb1d0084b09bbb', '91f5b5db4a1cf28d', '5302190e283157d2', 'e9cfe450f0115ed2', 'bcb74250aa1495b2']; context = [[121, 161], [9, 61], [72, 115], [2, 40], [11, 58], [1, 49], [51, 96], [17, 55], [24, 69], [86, 120], [138, 177], [33, 74], [16, 59], [37, 73], [17, 63], [2, 40]]; loss = 0.032521 low_pass_filter = 0.300
+Epoch 0: | | 16929/? [2:41:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 16930; scene = ['531ecbac17b31733', 'c87c8f9c8b42399d', '8c08d0f4c0dfc8a6', '7afc07b02ee54c79', '6b49b064dfdce852', '426956bab78ab4ca', 'de012df6e6222077', 'f4700ebf3f93ccb8', 'ca5692698819b101', '86d1360e786d5674', '45b17882258efb79', 'f1569d827ce5bec9', '2899818a923e235c', '50f6be03ef653e15', '37273e37a2c3573f', '981717c755ee3435']; context = [[88, 122], [16, 51], [72, 106], [68, 115], [81, 119], [0, 50], [5, 59], [23, 70], [162, 209], [19, 54], [51, 90], [9, 53], [124, 163], [19, 70], [79, 126], [45, 97]]; loss = 0.024425 low_pass_filter = 0.300
+Epoch 0: | | 16939/? [2:41:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 16940; scene = ['44cb993e19c042ab', 'a56927ac0e84b487', '452bec637695fb61', 'b1c215c60a91a1dd', 'ca042138cc5291a8', '041e80ca1179ed69', '88dcb5cdf83eef5c', '969e0fb4ea498d2a', 'bf0c5cb654dd1e0b', '700ac3a4e337c355', '89f06e96811dd13c', '91a5dc05e579c726', '3ea61742c00855cb', '1792af41faf897c4', '6aeff4800dc767c8', 'c3c8552b354f54ac']; context = [[17, 66], [46, 80], [1, 44], [41, 77], [88, 141], [24, 71], [11, 51], [2, 54], [150, 186], [0, 39], [14, 57], [31, 76], [24, 65], [31, 85], [65, 105], [131, 173]]; loss = 0.024417 low_pass_filter = 0.300
+Epoch 0: | | 16949/? [2:41:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 16950; scene = ['8059bc76d9f034c2', '9b44d7f7f1e76dda', '474702f1cc9d2dac', 'f2fbebb2b7cb9d0d', '81940f462ed20fd9', 'a8f16a0f9e66da3a', 'dc844d908c631b63', 'c9c9a2028bc5e37b', 'dbcf7e96dd9449e7', '9f62a023f2d748f7', '6f097566ab5011da', '413e3b5c119710b3', '8610476b7d4b2394', 'e487dfe02526a996', 'edcd44d4c23f5960', 'a592370324d5bbdf']; context = [[10, 57], [127, 168], [24, 60], [79, 126], [34, 74], [15, 66], [217, 264], [51, 90], [7, 49], [43, 93], [29, 68], [0, 34], [55, 108], [165, 206], [14, 62], [2, 38]]; loss = 0.027201 low_pass_filter = 0.300
+Epoch 0: | | 16959/? [2:41:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 16960; scene = ['282251d1ef15c3fc', 'db58e56a77e22e0a', 'ed3943cd4cc04675', 'dfd13cc7c237647a', '28357ccbbe8b3bed', 'd35352a9381704a7', '518d383bfd978431', 'eccf2be869b9e84a', '69e0fa97f9a68c7c', '865d357681dd22f3', '51d90b37d02bd775', 'a6bd696e47aba3ee', '2aa3c28014bcbce0', 'e41d5e0099b0696f', '2653badbfaa18ad1', 'cc7dcffc9cba38a8']; context = [[11, 62], [101, 154], [15, 56], [77, 117], [65, 113], [9, 60], [3, 41], [2, 54], [1, 55], [26, 65], [16, 67], [34, 79], [4, 38], [163, 197], [25, 69], [52, 103]]; loss = 0.027755 low_pass_filter = 0.300
+Epoch 0: | | 16969/? [2:41:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 16970; scene = ['adee1fda5e363a59', 'd84de7a276ad1354', '3c51203a37e1310b', 'fad77f857cd4faac', '3c124a8f0d2e2988', 'c34c5bd5ccbc0ee5', '1b4dc23d94ab138a', '3897774841845bec', '6c48f5bd433bc366', 'eba582c8dd116c8f', 'b33364f7f8aba9ab', 'cdf78598acfcccb0', '7dffb84793d6b079', '79c81482b548f084', 'b12a0ab351bffd0a', 'b446d15cc675595d']; context = [[17, 63], [51, 99], [34, 80], [10, 49], [49, 94], [21, 63], [34, 85], [4, 55], [221, 275], [74, 122], [9, 51], [31, 77], [5, 42], [87, 133], [140, 189], [41, 76]]; loss = 0.030230 low_pass_filter = 0.300
+Epoch 0: | | 16979/? [2:41:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 16980; scene = ['49ba6fbb5a39e7d5', '1c4c1047238bde1e', '0de33ad1ded7a060', '39bcb80c02b8b0f0', '2dc5db0ae2b383df', '3bac8b9c47707a8a', '0678547e251bcd60', 'a9bcbc63daf30f4e', 'f8755c049d3f8fcb', 'f7da323950f255a0', 'c7525636cfe06a5f', 'efcd0fe138d9992b', '519d7a7f0dbf9716', 'aa8e2ed16c3f2308', 'b8f57558cebff3dd', '30f99445639473a1']; context = [[24, 65], [28, 81], [190, 240], [15, 58], [58, 98], [38, 82], [24, 72], [21, 64], [89, 131], [57, 105], [8, 47], [23, 76], [22, 66], [53, 98], [125, 165], [19, 65]]; loss = 0.027855 low_pass_filter = 0.300
+Epoch 0: | | 16989/? [2:41:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 16990; scene = ['bd295705900345f7', 'f348b20c0df04245', 'a2e5f84fd671b85e', '04b29f18ba65f722', '57ae59b355e37b50', 'b17c9946c0e0e6fe', '32e9d44c0fefae3d', '1c8b746ddda69773', '4c9482bed56c9547', '43e8d48009f94e90', 'b3f9679d73187a63', '2b5ec5055f9e0ecd', 'b17222ffdec1f134', 'c0e5cfa6c1302f81', 'f73b5c1b901e8d1a', '65410d22f0d980f7']; context = [[30, 77], [58, 105], [38, 75], [2, 43], [106, 146], [0, 39], [110, 145], [37, 76], [23, 64], [88, 141], [30, 73], [179, 230], [33, 81], [12, 59], [1, 36], [105, 150]]; loss = 0.032857 low_pass_filter = 0.300
+Epoch 0: | | 16999/? [2:41:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 17000; scene = ['0349f032659258fb', 'c98d9b6f2e9c005d', '118c225404e57623', 'd466f84e957e9c2d', '76085f8dc1114a69', '46b507d43623b833', 'c9f78fa882799a27', '02366c12e5d264fb', 'e80172408be42618', '0510e6f8eba380f4', '6f906f4748dd243a', 'e6e618b39c52caed', '52530a8fe72a85df', '9e0aee54a72d5c8a', 'ad39efaa855a34bb', 'b25b63d8a5e5ce25']; context = [[213, 261], [0, 34], [14, 68], [38, 73], [227, 263], [16, 50], [0, 43], [7, 55], [21, 71], [2, 52], [184, 237], [3, 37], [68, 120], [1, 46], [8, 54], [2, 37]]; loss = 0.028511 low_pass_filter = 0.300
+Epoch 0: | | 17000/? [2:41:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000validation step 17000; scene = ['a76028640ffa1ef9']; context = [[44, 85]]
+Epoch 0: | | 17009/? [2:41:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 17010; scene = ['3e66bf60c7f50ab7', '092c1cc15c452bd6', '54b960b8b5796026', '5de8312b044bfbf4', '3c4dae9a42a1b679', '3dc1bc07386e66b5', '3ea2086a5a93e0a7', '8ff871dae459ab68', 'b6f81740db95733f', 'eb045b0c67e1cc71', 'cce12f667de01766', 'cc2051c21229d188', 'a1964349d4f19aa0', '6415de64be8a1d74', '6d8e7a426f555248', '965f4c3a2e84ecc7']; context = [[21, 75], [110, 148], [21, 56], [12, 49], [0, 39], [107, 143], [143, 183], [153, 206], [101, 138], [39, 79], [76, 119], [32, 72], [36, 82], [1, 52], [89, 140], [6, 45]]; loss = 0.027255 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 17019/? [2:41:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 17020; scene = ['8bc26f82dadee1c0', '407e64bbe95a2336', 'a71ed4c29df993de', '2c42ecf0e006ed5c', '99a7922ce3f339aa', '92b69a523d36863f', '053d861859d48b97', 'f6ed403d51c084b2', '047e7dfc69533d85', 'd23c63fc810f3d43', 'f04708b15586fceb', 'a79878c670ca903f', '47d8f4be2be93a36', 'e94399e61cdc8ee7', 'c3f121951504f029', 'f279ee0ac940c8f9']; context = [[36, 70], [29, 74], [13, 67], [4, 56], [10, 57], [29, 64], [123, 177], [4, 44], [30, 73], [4, 49], [17, 70], [38, 72], [94, 145], [116, 167], [26, 77], [36, 78]]; loss = 0.027374 low_pass_filter = 0.300
+Epoch 0: | | 17029/? [2:42:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 17030; scene = ['b68285617c255443', '6a38e494b3371e30', '3b7054d1e4881a90', 'e60f2d56d3feef82', 'faba60084d22aa27', 'df922a3fc957bb93', '01cd742e8f7fda57', '6dd75cdaf50e9f87', '72b1eb34465dea7e', 'e50e924b3bdf807f', 'c40b23830f7437d5', 'ee7cb189dff51d83', '28f9227604f33f64', '85e3c5ccde13145b', '60c8edd3f5ec8481', '46fa4e4e3b142efd']; context = [[119, 163], [6, 60], [15, 56], [19, 64], [21, 73], [28, 70], [30, 74], [6, 48], [20, 69], [9, 46], [29, 72], [91, 130], [5, 49], [54, 93], [24, 62], [9, 63]]; loss = 0.026857 low_pass_filter = 0.300
+Epoch 0: | | 17039/? [2:42:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 17040; scene = ['335a90126c68ec87', 'c54bfe167a0e4773', 'feef4e3a0d101f5a', 'e0091fd81f0ce93a', '8e62365855773861', '51d79c5142e1a325', 'b204577ce9893435', 'cb400c50ad429f45', '79bde1fcb9c993da', 'f7d91f705d469f6d', 'e458f0d06334a2d3', '241a367e7f124257', 'f727b968f8aaec7e', 'f10337e17c9ca699', '2c6682e7b1e7b23a', 'f78c2005ec943a78']; context = [[47, 84], [82, 128], [20, 68], [99, 145], [1, 35], [24, 69], [61, 113], [31, 72], [7, 61], [21, 63], [7, 55], [2, 38], [24, 69], [4, 55], [9, 45], [35, 81]]; loss = 0.025950 low_pass_filter = 0.300
+Epoch 0: | | 17049/? [2:42:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 17050; scene = ['219e3cd4f5998cc4', '71d54dad3eaa8ed1', '84425155e64a60a9', 'c41173a3b4eefcf7', '62319ed3333b356a', '8ec583b55bdf23e8', '195eabfe437c8f75', 'b0f5b20c5724e592', '9a89163b62f0a058', 'e4d86068c95e0922', 'c35de22a7238f9a5', '4ec29bd9dfd30c2e', '5e916cc9972aa61b', '31411305ea3662c6', 'fe8c395dd70d4844', '3bee0daad1cc6c0b']; context = [[32, 69], [17, 63], [30, 66], [19, 67], [20, 59], [17, 53], [74, 116], [8, 57], [1, 46], [77, 125], [30, 73], [20, 72], [43, 77], [104, 144], [122, 167], [19, 64]]; loss = 0.025556 low_pass_filter = 0.300
+Epoch 0: | | 17059/? [2:42:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 17060; scene = ['dc1ae8c3ae7797ff', 'cb4410e6d2705491', '031413325619677b', 'f9e33a1d57250855', '87c907d8c8c4d7d6', '07d2d2d6cbd3f15e', '75ed6690375be78c', 'e49884a3a277d320', 'ef44b8efeb7e8b0e', 'e0be76d8ccdc1fbe', 'd3b81862311a4624', 'c19839af089b3874', '19d29b637c994752', '62f7a22bf40a9004', '009b0cac4a16bbaf', '8b73b17ffcd8757e']; context = [[16, 55], [64, 100], [159, 207], [13, 65], [13, 66], [0, 49], [11, 48], [0, 49], [80, 126], [3, 39], [4, 39], [23, 76], [44, 79], [1, 42], [40, 86], [208, 245]]; loss = 0.027148 low_pass_filter = 0.300
+Epoch 0: | | 17069/? [2:42:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 17070; scene = ['c0a2a9fe9e12ea72', '2f4a9af473259598', '270c1019e4348197', 'df29eae05ee5e69f', '91cc4e583ef263cd', '0396aff627f9d9a5', '35f3fc9b63fabd73', 'b2b3eb2502433212', '0c2e8dbc7c1fa4d3', 'a0c2e85b87cdef90', 'a020f3293839f1a5', '4fa5b973a37f2ed4', 'e14f4c7e2b5bf74a', 'ecb85a80a1fe7b8c', '9e2be97628cfffeb', '3b253958e49a169f']; context = [[35, 79], [9, 52], [102, 137], [95, 143], [184, 230], [0, 35], [9, 55], [16, 61], [106, 144], [32, 84], [61, 107], [22, 56], [14, 54], [37, 81], [4, 53], [91, 145]]; loss = 0.027123 low_pass_filter = 0.300
+Epoch 0: | | 17079/? [2:42:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17080; scene = ['a580f9d21fe00fe3', '7ee115fb205f848f', '5dc01b6fd67b6f09', 'c650dda53967eb05', '4f31c3d2031ae29e', '1355b7884090c3d0', '78dbc8c7b542378d', '8a287cd8d977e84a', 'c3e699494a58052c', '2a32ff1118f52fb7', '1ff7f4b8ac696e34', 'c10b4020a9263a81', 'ad66977725bc0401', '3d324e5e8a7790b5', '24502963bafe2fa5', 'c8e171e498269ea3']; context = [[22, 63], [42, 78], [179, 227], [0, 50], [94, 138], [13, 47], [0, 36], [26, 65], [128, 181], [6, 49], [20, 61], [124, 173], [15, 63], [166, 201], [101, 138], [2, 41]]; loss = 0.027083 low_pass_filter = 0.300
+Epoch 0: | | 17089/? [2:42:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 17090; scene = ['96dcb0a7845a1ab6', '50468b60ba969ac2', 'ae558864399fd682', '5b7ab1a8989e1729', '475cc5043cbf31f9', '011a1765540790d6', '9c04b2fd1b51976e', '4001bca52ac28925', 'f9f50b21184a798c', '6b3f79a3dae10bdf', 'd95573ce88bcad09', '349c6cc920ba7868', 'd44961c44fa2d3d0', '8fcec41b125f2f6d', '9399f9e7caae9a7f', '214eeca1d9687332']; context = [[25, 61], [59, 96], [129, 164], [36, 75], [65, 113], [14, 51], [15, 54], [23, 58], [125, 177], [61, 100], [3, 38], [40, 82], [103, 137], [66, 118], [123, 159], [136, 185]]; loss = 0.023826 low_pass_filter = 0.300
+Epoch 0: | | 17099/? [2:42:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 17100; scene = ['625edf02592241ed', '94ad9ac9d5fc25d1', '25d7392ac5ae9066', '4245275cf50205b1', '9c8d61c37c4bb315', '771c929fa8c4439e', '61ea26e539098884', 'f6f36f1a0e886abf', 'e6f0f9dc45e9f66e', '4ca12bb4344471f6', '9bc6d79bdd9830a6', 'bd7a0a337366b1ab', '4684bfc4b6330cdd', '53bb7687bdc3282a', '2ac56a8829302097', '117084f0d6d10590']; context = [[62, 115], [35, 76], [35, 73], [16, 63], [45, 82], [72, 126], [8, 52], [32, 81], [9, 54], [81, 130], [121, 171], [10, 46], [94, 133], [176, 222], [8, 49], [0, 39]]; loss = 0.023441 low_pass_filter = 0.300
+Epoch 0: | | 17109/? [2:42:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17110; scene = ['af6d66e39934570d', '241995896e6747bd', '038c23fe8ac608d2', 'b4ffacdfb98be7ce', '303d1041d98346d2', '4474d194f5b20728', 'c1b291bac208f824', '267652292cce84a3', 'bcc2187b08eddbf5', 'cb7ea96f12ceed00', 'd4e5b689bb8bc4a3', 'b937245ac95ab2b0', '6f70b8b96a4b3dca', '84d2075f2f6732cf', 'aa96090d6b108262', 'e020be14afb3ef14']; context = [[0, 54], [17, 51], [228, 274], [23, 57], [5, 57], [28, 77], [15, 64], [46, 80], [51, 95], [6, 46], [52, 105], [13, 64], [201, 243], [0, 36], [0, 36], [19, 53]]; loss = 0.025575 low_pass_filter = 0.300
+Epoch 0: | | 17119/? [2:42:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 17120; scene = ['7335bd33db6d2d91', '88658444df71b1d6', 'f42eeca464640993', '0c213df8885d4df9', '465039bf0f4b6bd2', '923d2553d35a6d22', '1c9d768cb2dd54fe', 'a8da855d8a0a54da', '5c9fe663b5ef4455', '645af66f6d7059dc', '1bf242853e2b9c54', '54c3ef2cb5c61855', 'def88f4446e088ca', '9a00dd7d0e69b57a', 'b3b45ff1b4002fc7', 'c99ebaa0555a7955']; context = [[15, 52], [119, 160], [9, 51], [49, 86], [3, 52], [4, 40], [124, 175], [4, 41], [37, 80], [8, 51], [42, 78], [31, 76], [57, 91], [100, 137], [65, 111], [107, 149]]; loss = 0.024655 low_pass_filter = 0.300
+Epoch 0: | | 17129/? [2:43:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 17130; scene = ['52a7652d2757e859', 'c4052755634f3314', '77825008ac6c663b', '03c1440995e0347f', 'ec16d4512645786d', '28020e268c1ba216', '70e6dc2e07efc73a', '3cef0299f276cdad', '2b38f48e832e8d20', '8f733bc506395644', '3fc3f1b211ad15db', '013ff0b9b7a67bc5', '742beac7bb67515b', '911a6a269ecf479a', 'a7ea6ef04df2bbdc', '35bedfbb2558fad8']; context = [[20, 65], [69, 106], [133, 182], [74, 117], [59, 110], [31, 78], [53, 88], [49, 90], [67, 116], [223, 263], [171, 225], [8, 52], [24, 77], [11, 64], [75, 110], [50, 102]]; loss = 0.026352 low_pass_filter = 0.300
+Epoch 0: | | 17139/? [2:43:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 17140; scene = ['0f941bf5ec6453a0', 'f9eb1bd8462ced40', '590fb5ac33ed6860', '798d4e7752255a53', '0ddbd037f8183e3a', '956267e1db06952f', '10e35fb0eb1b120d', 'd7f009ec2ab543f3', '6f842ac896c325b6', 'fc0ba1bf5a6cbd74', '793708890c361a00', 'd60f30aa087b87cb', 'edc12d141059e496', 'b45439e3cf90cb9a', '357ad9c49b80724b', 'b95e6cbb519ddddc']; context = [[11, 56], [7, 60], [26, 63], [21, 74], [31, 80], [7, 60], [1, 55], [84, 129], [28, 77], [19, 66], [5, 57], [1, 50], [146, 195], [127, 172], [0, 46], [0, 37]]; loss = 0.028255 low_pass_filter = 0.300
+Epoch 0: | | 17149/? [2:43:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 17150; scene = ['cc1fdafaa596fd5f', '9d228d632f9612e9', 'd3c7f6d65edf8757', 'a3881eb3102f8e4c', 'fe88b975469701fb', '8853c3fc40c69e24', 'd4a18ba57cd873a7', '9350ed954b95682f', '78dcc8fd482170fe', '3b0f30c03d38305c', '453429d863b9b773', 'a2ad60f6809b316a', 'f9e747a8dcb47bc4', '2a5e3ab469ccb5c3', 'd942a5d66855a121', '7e71fa90b85ee375']; context = [[22, 59], [7, 50], [68, 117], [93, 130], [6, 49], [19, 61], [98, 139], [36, 83], [61, 96], [13, 65], [13, 49], [1, 35], [104, 152], [9, 63], [0, 39], [38, 90]]; loss = 0.028576 low_pass_filter = 0.300
+Epoch 0: | | 17159/? [2:43:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17160; scene = ['f384611b03428126', '87c924499e6e0e27', 'a88e46e5d8711c8e', '889141249495d6d5', '525a5fe905539bc0', '9dbd9623f02b4815', 'd93bfed273f01550', '07e88eb06321ac86', '792a9b92fbcee6fa', '7dab9695e01f4319', '760361a82cea8c5d', '5afd54ff10bf02f5', '09ec3ba64451d91f', 'e6838327fd08a47b', 'c44b05bc3683cf18', 'c1ac66bd67982f21']; context = [[133, 185], [9, 46], [141, 176], [109, 152], [95, 149], [38, 85], [41, 83], [2, 48], [122, 176], [0, 35], [0, 34], [13, 55], [81, 133], [109, 155], [96, 141], [180, 219]]; loss = 0.029501 low_pass_filter = 0.300
+Epoch 0: | | 17169/? [2:43:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 17170; scene = ['c1028e67d73c3504', '7c1e5a3898536693', '20551c90baa98c3e', '75b86a4e2efa0937', '9232ef6ebf4bc047', 'ac9aec32ea6234c2', 'ba044124b9e7261c', '0032c663bb6d838e', 'afd79cf17dab3e39', 'ca1925532ad236a0', '83723529771921b7', '2de19cb1c144c8b4', 'ac090d5fdb989475', '4762616d9149433e', 'be3290ac59571445', 'd0c8bd037dd1a8ba']; context = [[116, 160], [15, 56], [139, 191], [18, 61], [4, 58], [4, 55], [60, 98], [19, 62], [12, 47], [25, 63], [40, 93], [44, 93], [57, 104], [150, 201], [35, 80], [223, 277]]; loss = 0.027079 low_pass_filter = 0.300
+Epoch 0: | | 17179/? [2:43:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 17180; scene = ['30ad1d6e17b4922b', 'e1cdd73fcf663dff', '9b70ba2ecef9d91d', '9e6f2056c8787023', '571bc82e203d6e84', 'a1cf0d72e2f4cbeb', '72077f7ff39fc73e', '59ebce57c53ebc37', '491d332fba39e8e8', 'c2df147f839336b2', '3c059c9f50dcc56d', '3a5dec27496963c2', 'e72d14392e5d51b2', 'c029a22f68cdd079', 'f40f4fdf9aca7261', '924fff5f41aae7e8']; context = [[5, 49], [24, 63], [50, 84], [24, 72], [3, 55], [132, 181], [20, 54], [33, 82], [146, 192], [27, 71], [45, 81], [17, 64], [98, 140], [45, 92], [40, 85], [0, 34]]; loss = 0.029407 low_pass_filter = 0.300
+Epoch 0: | | 17189/? [2:43:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 17190; scene = ['df6fb10595c0c3ef', '92085b73d95d15f2', '479768833c417c3b', '26c72ee0b0e70272', '0f57d75b30d65539', '25b566c54e1d3c7d', 'bb1d884c7bc6f463', '109d95d5de8c2056', '912d4cd827238ee3', 'b38f933773a331bf', '823ff9b8738d5853', 'e0f9634ac743f6e8', '8411baa1ad3a5c6f', 'ce284b41bc2d6abb', 'edb0f2f1872ff393', '15121aa15652bcdf']; context = [[64, 106], [32, 73], [8, 44], [24, 73], [198, 251], [70, 120], [4, 55], [142, 193], [1, 43], [30, 81], [27, 67], [224, 265], [43, 94], [40, 78], [16, 56], [17, 62]]; loss = 0.025336 low_pass_filter = 0.300
+Epoch 0: | | 17199/? [2:43:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 17200; scene = ['e41a92954c7e94eb', '28c643e2cd91f465', 'aad75ba6e6c3304d', 'd737a4d00ba9eb96', '2bb62d9b59e51b1b', '0446f3522cce8104', '2ef7707bb9e354e0', '8467aaa6db783cbc', 'e6f956faeeda3603', '245351b1b14b6bb9', '0ebfc63e0dbcb1e6', '24fb04f6ecb97aec', '33f46a908c161d84', 'dc104deb60486231', '2f28a310a0d3ac6c', '2f3cad0f7199ac5e']; context = [[125, 170], [18, 70], [90, 138], [77, 117], [175, 228], [4, 38], [11, 53], [11, 49], [43, 85], [20, 59], [96, 143], [113, 161], [69, 112], [93, 132], [173, 209], [75, 109]]; loss = 0.028649 low_pass_filter = 0.300
+Epoch 0: | | 17209/? [2:43:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17210; scene = ['28d7e19c6e24d569', 'cf8c3e84083060ba', '3ac6879302091914', '30c166d197c85de0', '63a408decbee5e99', '334347999e76c28e', '854117547c5691d6', 'ed8897f38ed6abaf', '75a17f30ebffbc88', '87d078a6132293af', 'a9ed25f9d08ff868', '4ae0c60db6050947', '7543d863a85dcab7', '2d8d59ff223d1b70', '4b7068f19d61a837', '8a34c9e16476e41c']; context = [[11, 58], [5, 45], [9, 53], [27, 75], [92, 133], [130, 167], [30, 81], [36, 85], [43, 77], [99, 147], [20, 60], [76, 127], [117, 166], [62, 116], [7, 43], [3, 53]]; loss = 0.025186 low_pass_filter = 0.300
+Epoch 0: | | 17219/? [2:43:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 17220; scene = ['ae9b392cb1d7be26', '70e09b2da21c935c', 'ce638637eab9cbb2', 'a39de974d72b88b3', 'a7344e0356bfba18', 'c31c5aec6ca52a0f', 'fe05283c708c2589', '2a28036d98f5a42d', '6f4f54d89383e1ba', '2d41ec8c58a78215', 'dad3fa29c9da9853', 'd378db422fda516e', '798ed35225d5c255', '9d46e65b9edc9c15', 'fd84675a5268e518', '3a444379f8c5e5c0']; context = [[56, 102], [29, 77], [71, 108], [50, 87], [71, 120], [110, 144], [76, 115], [27, 67], [117, 170], [23, 74], [0, 34], [6, 54], [65, 105], [17, 71], [40, 93], [92, 138]]; loss = 0.025248 low_pass_filter = 0.300
+Epoch 0: | | 17229/? [2:43:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 17230; scene = ['832c5a630af6b768', '854e67be5e2269ae', '88ccb97711c25fc9', '00104677f98ca3c9', 'cd5d7eac3e6a67fb', '660fc47d4cb5662b', '62a47e085a693e44', '067a40549516856a', 'c35be1e2bf7eb5f6', '16a7631f41a026e1', '669a9eadc281948b', 'e81fd25426cbbad2', '74ed41fdbece3110', 'd51cf8e527ea5cad', '264626db21145229', '3541705e5a095fad']; context = [[57, 105], [142, 189], [155, 192], [18, 72], [34, 87], [88, 130], [0, 46], [50, 84], [7, 49], [101, 140], [34, 69], [25, 65], [107, 145], [37, 88], [170, 216], [32, 79]]; loss = 0.024973 low_pass_filter = 0.300
+Epoch 0: | | 17239/? [2:44:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17240; scene = ['b71de1418024429e', '99275d4b28ffb60e', '98d64344265fe299', '11a2c0c4293ef929', '45e5425f05ee618d', '8bad178a126aa250', 'c2d5ef83e900091a', '36b0adfd5af637fd', '0cec598f9763507d', 'c070670de913d617', '1be1019456e06288', 'ceba1996f22e23cf', 'c2ded93be50fa46f', 'ab4e8dbf1b415f7c', 'eb5b0e050d74b9eb', 'fd99963ac0e17872']; context = [[23, 74], [19, 54], [26, 61], [15, 69], [87, 127], [47, 91], [54, 106], [0, 36], [61, 95], [58, 99], [90, 130], [16, 61], [102, 138], [144, 186], [145, 182], [83, 137]]; loss = 0.024785 low_pass_filter = 0.300
+Epoch 0: | | 17249/? [2:44:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 17250; scene = ['b1f83945819bf93d', '89e1c4aac70781af', 'f4b26427077d5667', 'deed4a471d865bb9', 'e597cea834c91e41', 'ea49a3b5c6b61957', '2e13dea1198140d2', '6181d3a1bc07ad1d', 'ee8bf5f75501704f', '5eb07ee6a9e4fec2', '7ba01a87a2fd75c0', '2f365fb5323c52fb', '8554f2acd95818b3', '96941c9ccc27e289', '182b14c15b9b7951', '7feae1e0e2c1701b']; context = [[11, 60], [44, 90], [20, 70], [16, 69], [129, 171], [33, 69], [19, 72], [18, 64], [8, 54], [23, 68], [12, 57], [30, 66], [20, 60], [145, 186], [14, 60], [57, 111]]; loss = 0.032917 low_pass_filter = 0.300
+Epoch 0: | | 17259/? [2:44:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 17260; scene = ['7af8f06cde2e3206', '86bfd95d15e6e77f', '7c3e16fde4732eb6', '9c0371059c58a78e', 'ac0818d6a000ee99', '8fc39b497270f565', '0a6bb5a921dbfc12', 'f83a72a27b18dc03', 'f0b547776a72c454', '8326d223160e7289', 'b932fc784f7f24d8', '3d0bbce736659b1e', '42ea0dcb2096483b', 'e1049fac3065b063', '3338a85eb3222a45', '5838c99eb85b98be']; context = [[56, 100], [40, 77], [6, 45], [22, 68], [107, 151], [77, 113], [13, 62], [23, 58], [95, 146], [89, 141], [43, 94], [101, 136], [34, 84], [15, 54], [3, 37], [58, 99]]; loss = 0.025148 low_pass_filter = 0.300
+Epoch 0: | | 17269/? [2:44:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 17270; scene = ['1d4d4b5e150e7725', '98357a968617da0f', '365f9473b7425fce', '94189ff3621c2388', '8246e3493d527708', 'a260f2e7feb368fd', '8090675e3d0b56c1', '684bfafa652a719c', '312885f77137bd7c', '9bc5981d26dcfc62', 'a8317f5de4f6f22a', 'a4fe80b618bb7456', '9b4eb74c4f2839ce', '3d9dd3d10965c92c', '2f0784d93c5026a7', 'fa94d8d381572a52']; context = [[191, 235], [11, 55], [35, 80], [158, 193], [29, 81], [9, 53], [5, 58], [1, 52], [12, 50], [20, 61], [37, 90], [21, 74], [23, 57], [6, 50], [52, 96], [0, 40]]; loss = 0.025761 low_pass_filter = 0.300
+Epoch 0: | | 17279/? [2:44:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 17280; scene = ['32975f7fa4ec8e80', 'aeb84a5999cba0c0', '93b5d419e723bfc1', '7a244e6ffc814898', '0ab1a55e644c522c', '51cea299a0fa2ead', 'c6dd634f18d3ad0c', '11f312ad09ee6d28', '7808917f0ae566fe', '610e089703fbf242', '880ce15f4c5534f5', '982b49d62fce9a8b', 'c236a71b90766557', '8be1d279b9a576fa', 'f20d239e72115520', '77e2d47cdc2eb3f8']; context = [[109, 156], [65, 106], [0, 47], [102, 145], [46, 94], [42, 86], [1, 35], [125, 159], [39, 91], [17, 64], [79, 117], [87, 136], [8, 48], [96, 144], [4, 57], [24, 59]]; loss = 0.030023 low_pass_filter = 0.300
+Epoch 0: | | 17289/? [2:44:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 17290; scene = ['5349b3c8a5a44631', '4cbd09ce15023033', '5517db8c137cd522', '09adc9c073dcc81f', '1546d04a6b9feb92', '346e62ad09069013', 'b9d744bbfbf05528', 'b511c88b16643809', '6fc73551f1244422', 'a1fad01a8c249fd3', '1e543f770095bd2f', '4e99ce8dc4d1064e', 'f760b9c83e882756', 'f67681804659fb89', '46aec7ec241892c7', '59220df676c7b430']; context = [[94, 140], [133, 186], [1, 51], [34, 72], [18, 71], [72, 113], [8, 45], [17, 61], [9, 57], [134, 178], [3, 43], [10, 55], [4, 48], [32, 81], [25, 62], [183, 231]]; loss = 0.035990 low_pass_filter = 0.300
+Epoch 0: | | 17299/? [2:44:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 17300; scene = ['fd425ce849268367', 'a464ead502832cec', '55e8766149262fb6', 'e77fa90c3f42729e', '1e78ea9d561515e7', 'db02ec541d6a9556', '7bb5cce3ca41718a', 'acff72df83292068', '2ebff1fdfce42b62', '00c14c53270e07a6', 'f450b5eb36699b57', '51098eb8a77e3976', '403074ff29418d5d', 'cbc71a203e10b3c6', '3b8ba0075b0ab75b', '5bbda319111f9dea']; context = [[46, 90], [35, 83], [18, 60], [73, 119], [2, 42], [25, 77], [7, 53], [174, 218], [36, 80], [21, 60], [176, 211], [7, 43], [11, 57], [129, 176], [225, 274], [90, 135]]; loss = 0.030930 low_pass_filter = 0.300
+Epoch 0: | | 17309/? [2:44:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 17310; scene = ['42017344e5434d5f', 'dcd2dfbfa3ccc955', 'a5b5b7be760b108c', 'a842f67726ffd425', 'a36e9e7dd71ca980', '6c1c5a9b3c6db4a3', 'a8c23400a2bf1eb5', 'f9819d0fa6976ef4', '4e4314a00227ed83', 'a3c290d59ba3d57e', 'b7f11264f90f9fdf', 'c1067c28947eb908', '227bf499869cf372', '83085493f4bc18d2', 'a6d8c29cc124ba06', '3ecc9dbeec2451f0']; context = [[4, 54], [5, 56], [9, 57], [0, 40], [26, 65], [8, 52], [7, 50], [8, 54], [68, 112], [25, 79], [1, 45], [48, 95], [14, 48], [194, 246], [14, 53], [39, 91]]; loss = 0.030594 low_pass_filter = 0.300
+Epoch 0: | | 17319/? [2:44:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 17320; scene = ['1ced80cbf1496d81', '17087361201e57aa', '6b02b1580ce47546', '73eae9f932758309', '3a045112f60a54ed', '0ba3f75a6d43a1e5', '1f6a034a8566831c', 'a814455509c872b1', '49e7e9cb5d2d82e9', '6f6d8dcd978753a3', 'ac205c8547a2a317', 'c08033a1903bc740', '2962fbb4bfaa1f12', '14f3add9df8c5c11', '3151db5299095375', 'f8acf602b1dafce1']; context = [[30, 75], [16, 70], [17, 63], [16, 56], [35, 69], [22, 64], [223, 265], [0, 52], [65, 102], [31, 65], [108, 149], [102, 142], [25, 77], [22, 76], [25, 76], [2, 47]]; loss = 0.027096 low_pass_filter = 0.300
+Epoch 0: | | 17329/? [2:44:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 17330; scene = ['9c7b700f9c5cc6c6', '62939c5723d59295', '3758fa83d2a9fb3e', '904d484708497799', 'ae047d3f44cebf1b', 'ee4e748066074d37', '6374e51e6160a80c', '2f182e9cad395982', 'd74d97ede645d0e9', 'd02fee3a4d2fc50c', '475c74936027f242', '1c90cb2d24fd41fc', '16149ec14b18ca2b', '1b5e1ad1d9c9e3c9', 'd281422330d41e4b', 'db661815480bb340']; context = [[45, 83], [19, 68], [15, 60], [116, 169], [7, 52], [6, 55], [54, 98], [58, 95], [137, 189], [153, 201], [14, 60], [11, 64], [124, 177], [19, 63], [0, 36], [9, 61]]; loss = 0.028934 low_pass_filter = 0.300
+Epoch 0: | | 17339/? [2:44:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 17340; scene = ['5201b074adcc1957', 'c79eade117f25328', '9ec8836d9eba792e', '4530113d1d7f71db', 'b62d5f970d1517b6', '015be5260cee24a6', '70b2f221ecf229c0', 'f94029860c968603', '3efcf64764442ba9', '3a5a38a182b82f99', '17d3a16e71d99061', '43efc8210bf1153e', '11866a7205664134', 'cb2397daeb2ee8e4', '615d2eda2a3d4f7b', 'd101a39a319befa5']; context = [[10, 57], [23, 62], [230, 272], [18, 52], [18, 55], [14, 64], [6, 57], [26, 64], [216, 250], [15, 61], [26, 70], [0, 39], [8, 56], [99, 140], [29, 83], [31, 85]]; loss = 0.029305 low_pass_filter = 0.300
+Epoch 0: | | 17349/? [2:45:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 17350; scene = ['00c7f4d292a58bd3', '7a93a1f75a9636ca', '24aa7d35a296bf5b', '47421c0e831f93ab', '29813418d3210005', 'f01f0f602cf82f5b', '6f9de440653bb88a', '6dd17de596dae3be', '6a1c56504c0bb47f', '3494d1f46ae280ce', '79cb5fc3ee21d2a3', 'b46de0d3730fbdbd', 'a0792de6d36408c4', 'e1ba571bfd9cab32', '29b8e57e47c3e036', 'c3f698f6017a16e0']; context = [[16, 63], [23, 60], [59, 104], [0, 41], [21, 68], [10, 45], [31, 80], [169, 210], [176, 216], [3, 49], [22, 77], [17, 56], [15, 62], [3, 45], [33, 74], [0, 41]]; loss = 0.029353 low_pass_filter = 0.300
+Epoch 0: | | 17359/? [2:45:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 17360; scene = ['78b83f9c9174e8cc', 'f22824c5468fb8c3', 'e51df845689c6cb9', 'b52ac8e1e536022e', '6b76cc89f4505af8', '28ab3a87b2f367a5', 'c93b45709f307e34', 'f5a466f01a58dd13', '5fd925386deb1ba8', '92747265b0111abb', 'f5e2894f19b60dc8', 'c0ab759d761f2868', '6b076ff0fa76674a', '7f6642220b54f702', 'c87ed13477475e4a', '1dddf8460c0c49cb']; context = [[22, 77], [89, 126], [50, 94], [124, 167], [3, 42], [9, 47], [39, 94], [19, 56], [90, 142], [57, 102], [186, 224], [3, 54], [157, 203], [29, 74], [0, 45], [125, 173]]; loss = 0.030514 low_pass_filter = 0.300
+Epoch 0: | | 17369/? [2:45:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 17370; scene = ['0c8af3fa6aa60dea', 'c5105a963e0519d3', '85098f10e7c0d7f1', '05eb05f4a63e0df6', 'b3569c0aa91a5faa', 'f904ba6dd57174ee', 'a86c32a25b92f015', 'e3a85631198a6eac', '6bbb1f05446d7e85', 'ac090d5fdb989475', '74cf66be9d66c8c2', 'be3290ac59571445', 'd0c8bd037dd1a8ba', 'ba044124b9e7261c', '2de19cb1c144c8b4', '4762616d9149433e']; context = [[15, 68], [51, 93], [45, 88], [18, 68], [2, 42], [147, 198], [106, 158], [25, 59], [9, 62], [72, 111], [57, 100], [19, 67], [196, 239], [63, 99], [68, 105], [151, 185]]; loss = 0.022879 low_pass_filter = 0.300
+Epoch 0: | | 17379/? [2:45:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 17380; scene = ['bfd08d4d51f0a055', 'f91c62cbc0f2b02c', '582b5253fe22067f', '915ccf1d0279d962', '3d4fbb163ed0c038', 'e317628493b63975', '0e04ac8477cdc1ba', 'bd0014e1f2db0016', '7f373c1d63fc0e8e', 'c4b807c5b04029a9', '7f81996fad0f7caf', 'ced85ab956a4190f', '77bb1e0d667eb2c5', 'ce4777cadfe8febc', '498070d8ece368c7', 'cb089fc0fae599b5']; context = [[58, 102], [24, 74], [12, 51], [15, 54], [140, 195], [2, 38], [8, 45], [144, 193], [105, 144], [94, 146], [98, 147], [2, 37], [142, 192], [0, 44], [6, 51], [4, 47]]; loss = 0.024100 low_pass_filter = 0.300
+Epoch 0: | | 17389/? [2:45:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 17390; scene = ['2dd4348bf334f7f7', 'b486df0b098bcc25', 'e912d7de697c9fd8', 'a3506d8f0aed9de9', 'ec70c52a97e8e104', '2832d0d39446547a', 'e3b1b3e6d12279fc', 'cb2ddaa9993016b6', '513ea4881175cd55', '1898b76cb20a242e', '4ce8a0dbb1d21da5', 'fc6fa0ffe5614ab1', 'd8cfd5145f06d42b', 'cbe056c6fa310143', '33c9561e60c5c3bc', 'ca566378f9664a37']; context = [[23, 65], [11, 60], [33, 77], [5, 40], [16, 53], [46, 83], [38, 73], [23, 77], [109, 160], [65, 118], [58, 107], [30, 84], [56, 111], [29, 70], [23, 73], [6, 48]]; loss = 0.031281 low_pass_filter = 0.300
+Epoch 0: | | 17399/? [2:45:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 17400; scene = ['eb9e48a39e18f88c', '0511be7085235229', '9ffe1fc23d69426f', 'c8198e376ce5fe21', '2ba6db31b81feaf0', 'b373737df3e74477', '9aad28b8c911c8e4', 'ab000b4f32ced111', '554eb9150ea16515', '920b80196dc8b79a', '95b37383d90fba88', 'd1749b42c2b6082d', '1bb36d50ab9fd353', '71de6eb329cc96bd', '7157a08b4d909e22', 'e8c5fdad60e58a8f']; context = [[27, 62], [23, 78], [144, 178], [136, 180], [1, 37], [11, 66], [84, 118], [60, 103], [44, 82], [7, 55], [70, 106], [62, 102], [64, 119], [22, 68], [26, 75], [11, 48]]; loss = 0.033819 low_pass_filter = 0.300
+Epoch 0: | | 17409/? [2:45:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 17410; scene = ['61b60c1a300d909c', 'dfe8c32f21d4e1ab', 'ffe2fb4a8427467b', '97e9ea755077ac70', '1f933c21bbd26682', 'abd07a71f19759aa', '049782b6f061709a', '1e946a362b6b9ca2', 'eed7e480a5e88553', 'a0c40378636aecde', 'b23bded8b95915ac', '14865449e509b130', 'a895d0e5fbebc994', '3e568ab74fb51248', 'e4b7df0920724ef1', 'b69e804602b55e82']; context = [[8, 51], [57, 106], [1, 53], [15, 51], [90, 142], [2, 46], [27, 67], [9, 64], [62, 107], [105, 157], [3, 49], [12, 63], [43, 85], [52, 92], [5, 42], [13, 58]]; loss = 0.024795 low_pass_filter = 0.300
+Epoch 0: | | 17419/? [2:45:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 17420; scene = ['47c3b50322e55489', 'c0d38d3d85f3587f', '72d340cfdb0640bb', 'f25b83126f93a7bc', 'b4fefac33cb2a6fc', '2531098998f5cd5d', 'e5bfaf251bfc0fdd', 'ebcd26ab4dad008d', 'fcee35b9d73232c0', 'e3badc148ab39dab', '494c8291355b23f6', 'b0297962c0089ed6', '3c7e0966e4a6ea3a', 'bc80922928a2c064', '68c475f64bd7d97f', '6a2eaa760582f0bb']; context = [[0, 47], [29, 83], [63, 109], [42, 94], [205, 258], [174, 214], [21, 64], [7, 53], [41, 93], [108, 156], [52, 99], [68, 118], [82, 116], [168, 223], [2, 55], [43, 91]]; loss = 0.031836 low_pass_filter = 0.300
+Epoch 0: | | 17429/? [2:45:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 17430; scene = ['6df9f1b8d7da72d9', 'd87d256563a679ea', '3a64dab609df8d4f', 'fc149c075035ff5e', '7bcc6fac9d4dac2d', '9bf7354c65f026a3', '56b0e5cd58300dc0', '631a74f12218a536', '4d08f6508693b522', 'b329ba03c3c5cb90', 'f4077924d862e6d9', '1503f70f0474756d', 'cdbf2daab70da231', 'a379ab73e44fcde5', 'f86918b379c67b4a', 'b40b16262771f2d6']; context = [[73, 125], [34, 88], [5, 57], [10, 51], [1, 35], [3, 41], [21, 65], [2, 49], [155, 206], [6, 53], [38, 86], [0, 52], [34, 75], [5, 58], [54, 109], [2, 57]]; loss = 0.026906 low_pass_filter = 0.300
+Epoch 0: | | 17439/? [2:45:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 17440; scene = ['18608d94d4769a68', '7cb6e645ee870b6a', '55f83ad68913a83f', 'e66478d7a8e3268c', '4619634afa74b44a', 'cfaa564b4d0c3e02', '341f28178feeb2a7', 'a9adef412237b777', 'd2d6b67d875ba2c2', '61122e2b98ee1111', 'c63f34f53f21597a', '79c41801a595cd0d', '4ac950133d60d999', '884b01a2969cafb5', 'a0ba85aa47c9baff', '2e1b06354f9b419a']; context = [[24, 60], [1, 54], [40, 82], [20, 58], [18, 62], [80, 127], [5, 59], [179, 215], [33, 83], [22, 63], [11, 51], [135, 189], [154, 201], [37, 86], [0, 48], [22, 77]]; loss = 0.027364 low_pass_filter = 0.300
+Epoch 0: | | 17449/? [2:46:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 17450; scene = ['9c0371059c58a78e', '86bfd95d15e6e77f', 'ac0818d6a000ee99', '8fc39b497270f565', 'c09279de7db2ec5d', '14707a2c1b0fcecf', 'b5ffcfc422dbe3a7', '8e2f95c6e2e99cdc', 'd484fdccfb8ae744', 'd64d80b0d85f497d', 'eb5d56e4da7b94fa', '732cdb405077b80b', '2f1cb8a99895e3c6', '33fb674e0225b459', '10052d72091ff512', 'ce95e17ba7e4dc6a']; context = [[26, 62], [19, 67], [97, 149], [40, 77], [36, 89], [36, 87], [11, 52], [16, 68], [17, 57], [11, 65], [98, 147], [3, 39], [53, 92], [13, 59], [7, 60], [27, 81]]; loss = 0.027855 low_pass_filter = 0.300
+Epoch 0: | | 17459/? [2:46:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 17460; scene = ['1b9b2c962bf3474e', '57f25347d2ad3668', '7721ab02f58499f3', 'db01d08461cc24d8', '41d454a6a4ccc3c6', '35e2e0c67e738b87', '29fb114d6a8e8b4f', '605c98b35d15551d', '8b81f3d28dd590fb', 'a7067337ddfb6af5', 'e9c6f415d779746b', 'bea5493d136e28a3', '2daabb0611aabbcf', 'ab03c2979623d6cb', '090ced9a667843cb', 'a5d054dc249a0291']; context = [[45, 82], [34, 84], [37, 74], [97, 151], [160, 202], [62, 97], [25, 68], [152, 201], [82, 116], [89, 130], [3, 43], [2, 43], [192, 236], [80, 114], [123, 172], [16, 60]]; loss = 0.027486 low_pass_filter = 0.300
+Epoch 0: | | 17469/? [2:46:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17470; scene = ['7982c04ab0f83614', '219070c8f28a0fe3', '74cf8d7236ba20a3', '4a2bd9d10797e87f', '71af1e40d14233f2', '2b4332a5bbbc50d4', '9d74a520fb1eb89c', 'd3d56c592a69253c', '8088dba438e87a09', '5bbae3d047eb84f7', '3db247f055f7e4ea', '18622e59c80cd655', '3d3facb1425b30d2', 'd8b3d968d826dae5', 'd644cfb925683a58', '5e0d1688b8de8814']; context = [[103, 141], [30, 78], [7, 42], [39, 80], [29, 67], [9, 52], [96, 150], [64, 101], [134, 181], [24, 66], [22, 64], [85, 135], [25, 65], [5, 42], [60, 108], [11, 60]]; loss = 0.030190 low_pass_filter = 0.300
+Epoch 0: | | 17479/? [2:46:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17480; scene = ['939b149fc1e94463', '2c59402512b86195', '69368851abc7c9e3', '623d5619e4702864', '804998e7ec39d253', '68528e468bf52aca', 'c8a89452aa4cf54f', 'b950cd4348d01e2a', '27c55b5a9f12362b', '0d75be966f561519', 'eba4eb617aa5d763', '0d32af0aa9eaae9a', 'c5f6f1a662e28071', '555c778e6f96777a', '3678468a9d6d42cc', '3baa46d1f38c6c0c']; context = [[109, 151], [20, 74], [54, 92], [26, 70], [113, 162], [51, 95], [19, 69], [25, 75], [71, 125], [2, 45], [13, 60], [1, 36], [88, 136], [90, 139], [54, 100], [43, 83]]; loss = 0.024073 low_pass_filter = 0.300
+Epoch 0: | | 17489/? [2:46:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 17490; scene = ['042c8ee300f52641', 'd3aff83016b5e0f6', '41eee0d73b5ea2be', 'ab835dbe3d68c7b3', 'b42eba12a2d472f2', '1549c6877baaa3a3', 'b1db6db47eb6c3de', 'a6cd9e57513d0f5b', '0ce3f01ab4230413', 'd91d403fb54cd658', '881588d40d5d70dc', '3aecc725df673f7e', 'c3f2554fc64f42ce', 'bfacba0a18500c13', 'ee9222a1310b093e', '2dd2a1adc0c1d4cc']; context = [[2, 45], [13, 56], [98, 139], [66, 103], [30, 83], [77, 116], [28, 62], [17, 58], [31, 83], [78, 122], [2, 38], [77, 112], [45, 92], [5, 54], [6, 48], [73, 108]]; loss = 0.030683 low_pass_filter = 0.300
+Epoch 0: | | 17499/? [2:46:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 17500; scene = ['07ffd9c3d6f843fc', 'eb10805a2b162c35', '9131db90d0d6a335', '49fd72b56adf9337', '099e1ee28f91b5be', '4748fe2cb767550f', '5d7f5b9a999487a2', '467ce656f484a23f', '8f00ee0979b9f3eb', '4e9777ce94f7ff22', 'dbdb7f0982601de9', '94650809b1bfebe5', 'a060b2c8c0b177f2', 'a0cca65da804c483', 'c8e2e5dc5a80dc4c', '0655e66efc0c661a']; context = [[70, 111], [2, 56], [15, 49], [77, 118], [50, 99], [48, 83], [10, 55], [0, 34], [35, 82], [0, 50], [14, 49], [11, 51], [162, 199], [0, 37], [48, 85], [82, 134]]; loss = 0.028124 low_pass_filter = 0.300
+Epoch 0: | | 17509/? [2:46:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 17510; scene = ['f346ad8f09bae95a', '85b956080085cac5', 'f9b775ee94d60763', 'e7ae5d42e1d888df', 'f7f0c6e26e4ba0f5', 'ed41e978b59c7dcd', 'ca6fdc4b5c38fc1a', '18f0c92d9d8786dd', '4690c960b7afdb40', '893b447be20a73fc', '98735bf18e9d2a52', 'fc434865599d2fe6', '8cd1361a46b83202', 'e4b3ebbbbdeaf6bb', 'bc8f126be579d04c', '4ba2e9259191e39e']; context = [[21, 74], [23, 66], [48, 83], [26, 76], [33, 72], [66, 112], [59, 95], [216, 265], [45, 99], [47, 82], [123, 168], [8, 46], [6, 42], [12, 51], [33, 83], [11, 45]]; loss = 0.024496 low_pass_filter = 0.300
+Epoch 0: | | 17519/? [2:46:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 17520; scene = ['319a31f5b39470e3', '0000cc6d8b108390', '44a06a79451f1d5b', 'bdca46414cff3a7f', 'e3d743c0a3aeaae2', '2e26fef30ca12494', 'b66fb806ce03f4b4', '7f97434269dcf098', 'a9b9180673bd7d49', '74b722de71061ce5', '3fe88d40aa66d61e', '801df40f6493d352', '208b5060a974d802', '27d7650462d5f41e', 'b43a3a4a11bd7b0f', '0ea7729a41de01f0']; context = [[242, 276], [174, 210], [19, 62], [6, 46], [123, 168], [117, 171], [123, 178], [45, 98], [116, 150], [22, 69], [44, 93], [31, 69], [0, 53], [82, 121], [37, 76], [0, 37]]; loss = 0.023618 low_pass_filter = 0.300
+Epoch 0: | | 17529/? [2:46:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 17530; scene = ['697df23e9f5fb6f5', 'a92ffea4cbb162e4', 'a029fa2714aad1b4', '062f247f28a18c88', 'a913e7af2361fa6f', 'efcc78e944058193', 'aeb3b560bf97252a', '5e5f701fe882a93b', '3965a7b13519ef13', '3b1525a730772be9', '3de1498cc3dc5051', 'd71857a07329981c', 'ea4dc2ebdb122af5', '18d54ee95eddac1a', '7ee233bf0f5ae3e4', '5e90ad5c785214d6']; context = [[27, 70], [7, 53], [130, 166], [0, 40], [0, 49], [5, 57], [39, 75], [5, 60], [121, 173], [55, 109], [16, 63], [27, 78], [106, 154], [2, 47], [71, 109], [15, 56]]; loss = 0.027888 low_pass_filter = 0.300
+Epoch 0: | | 17539/? [2:46:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 17540; scene = ['251628bd898c68dd', '2229b8d2a24db935', '02b58a9c0d23dfa7', 'a9d0cd8dfee71c9f', '961043c3b6f3d58e', '59bc59a125c32162', '80c2ce56967f5f57', 'b2cccedbbe313d14', 'ca4826b99127d53e', 'bce98e8b68871207', '057da8262a5b4f36', '0d49d0970586d7e0', 'be214e004bc8d513', 'a77f347b88137277', 'fddbc6d91c32a72b', '3315c801dd9c35ff']; context = [[52, 91], [50, 93], [25, 59], [56, 93], [8, 63], [1, 56], [81, 132], [0, 54], [112, 164], [12, 54], [96, 131], [11, 61], [93, 130], [29, 66], [0, 40], [60, 104]]; loss = 0.027595 low_pass_filter = 0.300
+Epoch 0: | | 17549/? [2:46:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 17550; scene = ['7c7e433716dbf8c9', '273db1a0a32fc03d', '88c287ba3e2d2959', '2e34a777e9a0b80f', '3543eb57e969e42c', '224b5576bbdeff26', '51b8b90afcdf9745', '6faafc61a9ff1d4d', '5c1b8644359e2df3', '4e294d9c40943e46', 'a546fe66f33a972b', 'fbd56a7ce64b67de', '08da0b9bc5445be5', 'f918e879fefa0dea', '819648da61dbdca1', '9b299dd51856f116']; context = [[94, 146], [40, 83], [88, 132], [44, 87], [124, 169], [113, 152], [5, 59], [11, 54], [37, 87], [2, 43], [44, 98], [0, 35], [17, 72], [28, 66], [27, 66], [80, 123]]; loss = 0.030673 low_pass_filter = 0.300
+Epoch 0: | | 17559/? [2:47:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17560; scene = ['3d180f7db4ceac89', '9d8eb52936b59070', 'f289353b04210ce2', '4f37cf41bcd303b6', 'b6fd5085cd94fb12', 'aeff7d9f1f254136', '506de8c325ed4b49', '165329e317ee69d8', '31c7c0a62a8cb81f', '46399067bb53549d', '61dda895ec4ad0c5', 'c4aa2ab123fd8eb7', '06d946d96de5aed3', '39e26c86365b31ac', 'c521fb47ce9ddc0e', 'a1e704f5eecfba21']; context = [[13, 67], [27, 61], [3, 56], [107, 147], [30, 73], [4, 57], [0, 40], [70, 124], [14, 57], [15, 62], [74, 125], [30, 76], [2, 40], [12, 63], [46, 90], [52, 88]]; loss = 0.028713 low_pass_filter = 0.300
+Epoch 0: | | 17569/? [2:47:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 17570; scene = ['9fc4a42f8174b2f3', '922abf15861860a2', '7f5c45d7432da1d7', 'e0e15f1a6d4505f5', '747c5303b3a489bc', 'e790f451efd033ef', '833ec6e8e97f90ee', '9157ddf2dd3a3b14', 'ae61cd5eca2cf47b', '849449d8ee0fd8d0', 'b991599a27d51aa9', '2a3adab8c56fd0af', '4eb5a756e10b6135', '51558f55181adeda', 'fbeeb97c2581e94c', '6505b95fda3a6fd1']; context = [[45, 81], [9, 54], [46, 84], [9, 58], [54, 99], [101, 135], [14, 58], [44, 84], [33, 83], [74, 125], [30, 69], [112, 162], [10, 52], [60, 99], [187, 241], [87, 126]]; loss = 0.021868 low_pass_filter = 0.300
+Epoch 0: | | 17579/? [2:47:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17580; scene = ['2d0c4b9d251f0ead', '3551465abdc1cb7a', '865591930d0627a1', '8fb8882b02bc63aa', 'ac996a63b23c9747', 'dc7a5ba3f90280f8', '8eed7c01c0f3ef97', 'be304be58881172b', '155d27fb9dffef9b', '7be2ed64fea6c9fc', '0e8d366b43302cb9', '90703a1321c67ff1', '52b76531df1976d0', '2be789959fff8373', 'a35ae8c072be3136', 'ee05991242906fb1']; context = [[82, 123], [0, 54], [41, 90], [88, 138], [0, 47], [108, 159], [15, 58], [19, 53], [54, 99], [26, 61], [28, 67], [39, 74], [19, 64], [22, 60], [26, 71], [136, 188]]; loss = 0.026521 low_pass_filter = 0.300
+Epoch 0: | | 17589/? [2:47:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 17590; scene = ['8ef58a226c35f66d', '5f9233c447468e7f', 'b5d098785d0e61d4', '617bd94137b51919', '25eeae41506761c9', '91eee96f9be7ebda', '8d212dad6fa203e0', 'bb9122703d0446ac', 'ef25872785ca3f37', '98c577bfe33e4dbb', 'b59df77ae2c66f67', 'fc22b9ea83ee6129', '5250b4d2feada905', '2a60b631ffbba8ea', '1defccf077f0cb9f', 'f499af4f4aa4a5da']; context = [[136, 173], [141, 180], [0, 37], [19, 58], [46, 93], [0, 44], [29, 65], [71, 105], [11, 55], [221, 275], [32, 79], [133, 183], [177, 214], [22, 64], [53, 106], [57, 111]]; loss = 0.023516 low_pass_filter = 0.300
+Epoch 0: | | 17599/? [2:47:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 17600; scene = ['1e82a72ac95c1a0f', 'fd9625e01240c2a3', 'e23baeaee13d12b1', '6e3dfded6a7f3fa6', '5679f4f2f6c7e7ae', 'b9d3ceeda47a50b9', 'eef4a92fb2f64d7b', '3ab741ae7d2d6b3f', '0eb64683896cd309', '8a6a910d78e80723', 'a20ae87b38ffe511', '856f7529b5f2d695', 'f97967e519b2c2bc', 'bdfc741d33921386', 'd0d8bd9b1391cf7b', 'e213cde371d1a0e4']; context = [[20, 57], [122, 172], [0, 44], [98, 143], [28, 71], [44, 82], [20, 75], [122, 171], [44, 89], [195, 229], [43, 90], [0, 50], [42, 96], [75, 110], [9, 48], [157, 208]]; loss = 0.026061 low_pass_filter = 0.300
+Epoch 0: | | 17609/? [2:47:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 17610; scene = ['5093d51cb32961b5', 'c1edfd2888b2f733', 'ae5ab6a60e1ab7a1', '7ba0bb51ce172710', '8ba00e36506d98e3', '37b468e1f381e86f', 'ddbbe74893efaffe', '7e866a2e4d30dee9', 'c37e52492baf985b', 'f07d116fbea2796e', '17e52586d0101584', '9031e8656bfd9860', '6a060404930871b6', '6cc16374b89f8656', '693d588a583849ad', '8921ef8893fdaed2']; context = [[122, 168], [8, 62], [9, 61], [114, 158], [30, 76], [122, 162], [35, 86], [25, 75], [14, 58], [121, 157], [48, 100], [10, 53], [50, 91], [4, 48], [14, 64], [21, 75]]; loss = 0.030391 low_pass_filter = 0.300
+Epoch 0: | | 17619/? [2:47:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 17620; scene = ['9046f5aa2a82b6c3', 'b5d3e67b48d195a4', 'f1f8e4d39a32eedb', '3a06d7ebb3cb5341', 'caa51283afc66cae', '164e9587927eb0e9', '9954c518245b7322', '2ef0eef67b3b538b', '8e1c0bc2d1f32fb0', 'd3af8e3b7f354487', '957517b6ed4d0048', '1cff69e73b827bcb', 'a9b437c1a771c642', '9839acd64985ac6b', '0ed741df4437c6ba', 'cf91287a73911ff5']; context = [[47, 88], [12, 57], [140, 190], [0, 38], [10, 58], [17, 56], [39, 87], [7, 53], [11, 61], [31, 74], [55, 101], [23, 58], [12, 56], [1, 46], [6, 51], [141, 176]]; loss = 0.030616 low_pass_filter = 0.300
+Epoch 0: | | 17629/? [2:47:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 17630; scene = ['4ca702261e0aa0fb', '43d97e84680e64f1', '614bea87443c8233', '0b5ff448f7853d84', '8fd66059741a9dec', '4d48be6420bc5e40', '16a3dad8315912bb', '09895c510108d81f', 'c5588bc0268e5c81', '05aab341d9f7cd51', 'ee1dd370404cf055', 'e6028373d0388cea', '623703e844f4187a', '3afecd065021c4c0', '09987dcb90444a8f', '2c6974c8d0fd6426']; context = [[25, 73], [177, 215], [55, 90], [14, 57], [78, 125], [27, 78], [4, 43], [33, 77], [97, 141], [15, 52], [207, 260], [39, 90], [16, 70], [4, 48], [91, 134], [52, 101]]; loss = 0.028294 low_pass_filter = 0.300
+Epoch 0: | | 17639/? [2:47:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 17640; scene = ['d0e5ef7568ba62ec', '7a4aa9466228e850', '53df6d3bf0bc3593', '5d7eb2a9c30e0fcc', 'afcac5c329658e0a', '429ee67552fb4347', 'e858dddbc938ec13', '786db6f690f1fe8c', 'bb7a87ed35bb7c08', '2ec142057d100f69', '0d3777b8fff2c21f', '9c9c480a9144cd77', '69c0ab37cd0b4038', '30d1ac6ee0b765c6', 'a6c66d8633b83c04', '7fe21cc660012e7b']; context = [[48, 82], [71, 120], [3, 39], [11, 65], [30, 85], [125, 166], [36, 72], [82, 123], [122, 168], [7, 58], [5, 49], [45, 90], [0, 47], [140, 184], [0, 42], [38, 89]]; loss = 0.040284 low_pass_filter = 0.300
+Epoch 0: | | 17649/? [2:47:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 17650; scene = ['ad4b81bb89bc6525', '38c12a529bfad8b5', '9d6350a3fac739f0', 'f53a324e7aab70d3', 'ee89c7384cdb8971', '55c617bb076c3461', 'a8c36697aa4bea80', '8cd78babfa1f6285', '8bd5cb1a874d6fb2', '5b1565e379c59981', 'afa96668d51fd7fb', 'c98247a056b1c09b', '11bb38558a689e33', '2ab62fe5e03caaa3', '0076e0a94466efb1', '968cadb6b5d92d03']; context = [[56, 103], [2, 50], [17, 56], [12, 61], [201, 253], [6, 45], [4, 53], [23, 70], [20, 71], [8, 53], [115, 160], [1, 41], [31, 81], [38, 92], [0, 46], [69, 117]]; loss = 0.031718 low_pass_filter = 0.300
+Epoch 0: | | 17659/? [2:47:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 17660; scene = ['1cea80a14693313c', 'b83523d5a6b0de8d', '58bd756bebf66e0c', 'bdb981148d4f5ab9', 'db251a028af1064a', 'cdbf2daab70da231', '8edab48b06f54f71', 'c7b726bf41c7363b', '1503f70f0474756d', 'a379ab73e44fcde5', '52c4bb658d7e2c97', 'f86918b379c67b4a', '27f9f9c7ab8235ea', '65d2429b6e7f22f6', 'f28c9736b5f793ba', 'ad072011b7c0eea3']; context = [[56, 110], [26, 74], [0, 47], [17, 55], [14, 59], [33, 82], [19, 66], [6, 43], [47, 83], [12, 65], [112, 152], [68, 117], [19, 59], [21, 72], [1, 43], [40, 85]]; loss = 0.024816 low_pass_filter = 0.300
+Epoch 0: | | 17669/? [2:48:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 17670; scene = ['ff9a13a4122358c0', 'baef1f1f88c27473', 'ab4e1823ec9613ef', '601e1b97b88916a8', 'db6b97ddd70d1c1e', 'b6602fca4a46af3c', '40f0d7c4d4f968ce', '4c6b1a86b7554be7', 'de76e0fa6665b96a', 'f417a4c162176abf', '76d99fe5793755ad', '8e275c7036a72750', 'b415eb0a7def34c2', 'e1c4289c6eda3545', 'eb971dec77a65942', '0dec435cb47386ac']; context = [[74, 120], [1, 47], [19, 65], [178, 226], [0, 51], [78, 133], [5, 56], [9, 48], [33, 76], [30, 74], [9, 57], [4, 52], [10, 63], [16, 50], [36, 74], [1, 41]]; loss = 0.024275 low_pass_filter = 0.300
+Epoch 0: | | 17679/? [2:48:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 17680; scene = ['622a0d2554fc5402', 'aa1601b3c7e10e3e', '4fc52f6aeecd8f82', '969eae779f4745e5', '014f71bd22de9f37', 'afe08596b2895950', '6c5e37d3a0fe6230', 'be4f1d3a9081ec93', '0f6f85f900c47557', '26982d1d02e9afff', '951d3d3360153a68', '4dc18688d7035c2f', '1013958b9d5a57fd', '757c2be20ce6cbb4', 'e6a4c397f62687e3', '173ec6098bac29fe']; context = [[2, 38], [10, 54], [39, 82], [2, 56], [124, 174], [209, 250], [32, 66], [52, 107], [16, 56], [31, 73], [203, 241], [31, 72], [21, 72], [145, 199], [10, 56], [80, 125]]; loss = 0.025309 low_pass_filter = 0.300
+Epoch 0: | | 17689/? [2:48:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 17690; scene = ['b22c25c5adcf4d54', 'dd657030a3c637d2', '2ac1cf1adda42447', 'cbd0fd68dc918e6f', '2b2e393414434d21', 'edbb71ea97bdc079', 'af8dffe590d32c98', '9fafd7aeeaddf68d', '6755d1366bce2ef0', '9b2935f1e10c316e', 'de293aa708084e6a', 'bbaf39151b2da748', 'baa5664b5ea5348e', '34ba90ddf627908b', 'f49334b723f7ee98', '212f736c5bd2cba5']; context = [[175, 222], [71, 107], [22, 66], [20, 60], [52, 91], [114, 166], [53, 88], [50, 99], [190, 230], [106, 156], [6, 59], [10, 51], [28, 62], [32, 66], [20, 65], [167, 207]]; loss = 0.024358 low_pass_filter = 0.300
+Epoch 0: | | 17699/? [2:48:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 17700; scene = ['04f4b776f5977a38', '8ac74f698e20d973', '11cd99e2cd274b62', '96496efe882e7188', 'bbe93893e3734a99', '4a7db356a3dc0803', '3485481ecd306c8e', 'dc0cac2190275855', '3feced7708ece4f7', '1042a9fe0c71b46c', 'd4bf30aa4a3d6fd6', 'e40b1d559ccedb4d', '42474d2341a3c55f', '440d247c44b072f5', '768c7eeb58db7cea', 'd04f5f108918d585']; context = [[138, 184], [0, 45], [25, 65], [63, 107], [14, 56], [30, 70], [66, 102], [171, 213], [20, 70], [130, 166], [32, 82], [15, 58], [6, 54], [2, 36], [30, 67], [4, 42]]; loss = 0.025709 low_pass_filter = 0.300
+Epoch 0: | | 17709/? [2:48:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 17710; scene = ['a304ef5211f4a528', '947b9b324827c237', '4c706bb06dd82919', '19d92ad5a3175241', '94345f54c878e603', 'ef4e611cdec4a2e0', 'b5de00eadafc31e2', '2b82531c02145ae3', 'f34a13eea58b43f6', '7f6dd3575ff20309', '1afb80edb0fa9ceb', 'e8d0f3054d11c23a', '3d9e58e8585a776f', '361f61d1543775ba', '964b5660d29e4821', '95579d00ca4555e0']; context = [[0, 36], [2, 57], [7, 46], [49, 84], [5, 49], [61, 100], [0, 35], [98, 136], [1, 37], [4, 56], [8, 63], [39, 80], [19, 57], [46, 84], [35, 70], [26, 60]]; loss = 0.028006 low_pass_filter = 0.300
+Epoch 0: | | 17719/? [2:48:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 17720; scene = ['469c7372835b7450', 'affb436cce698498', 'b729998f5b2508dd', 'f43a67d03e2d1906', '2d65c93575c6a883', 'd0c0d5fc515e76ae', 'd5415ea8c79b23bc', '8b95bfe3e8140690', 'e2970558f4892f7a', '698495499f8fdafc', 'e33342f08e052378', '471a35c1cd5a8179', '01e5207480d75225', '816112a90ba0035b', '7c621648d0d07a65', '0aa601b42a2b5dd0']; context = [[26, 73], [8, 44], [45, 98], [10, 54], [2, 37], [190, 241], [2, 52], [51, 95], [64, 98], [52, 95], [182, 217], [49, 88], [29, 74], [16, 66], [86, 131], [27, 63]]; loss = 0.027050 low_pass_filter = 0.300
+Epoch 0: | | 17729/? [2:48:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 17730; scene = ['43dc5c8c8859dc3c', '5406f3e3f53b842c', '4f41b0ce610b9bc5', '199a9ef5a23a3db9', '3820cb5d4ed07d1b', '6cdbcf635b46fa7a', '6ac5014676fde670', '0f5bf8f5bc26eb2e', '13d62e6992367b80', '5b566e1764ab72c5', 'a37c6a2facaa701f', '9bf240527154779e', '623a995282f38ea7', '7d765fe18635a270', '593878463d41539b', '6915c82c1126fc3b']; context = [[24, 61], [1, 40], [11, 48], [46, 94], [114, 156], [4, 40], [1, 36], [3, 58], [42, 96], [38, 86], [23, 65], [37, 77], [63, 117], [114, 162], [33, 67], [12, 49]]; loss = 0.026445 low_pass_filter = 0.300
+Epoch 0: | | 17739/? [2:48:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 17740; scene = ['15d0f8d7a400e9ca', 'f98cb4f86c049782', '48a97d2034b51f63', 'c2c7481ec7a1e077', 'ef172dd582fa42bf', '2083d004f0de3ae6', 'ca586fa15d224a0f', '91c5de0d54d6cc53', '07bf766d4a043025', 'a97541a2bb82814b', '47c63cfb10cdc704', '89b9f0b40f8e5043', '655736f20ba5d849', 'c77b2964c2ca9b6f', '8ccc9f1ead9cad5b', 'a02e28fa26feea61']; context = [[57, 100], [102, 143], [198, 243], [16, 51], [18, 70], [22, 77], [5, 47], [0, 43], [2, 37], [6, 60], [21, 69], [77, 128], [29, 79], [66, 115], [2, 44], [1, 56]]; loss = 0.022054 low_pass_filter = 0.300
+Epoch 0: | | 17749/? [2:48:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 17750; scene = ['0856eb1e161c6cb8', '0e3abbd980a263fe', '4b51e4231150adf4', '7e8e66f4e02657d6', 'a5b032ef6a4d3ce4', 'e63d845cb83be6c9', '6ec006a4adb5a42f', '37f28ca0c73ae057', 'd815e00df962638c', '7709edd1d8cd1946', '726308ff6efdfd6b', '5f28b2d3f4828007', '16fd5a162c4b0093', '0bdca1b88deda4a2', 'd94399261b4e49c9', '86ef5385cdeaec8a']; context = [[16, 64], [47, 95], [42, 77], [37, 84], [10, 56], [0, 54], [23, 71], [60, 106], [83, 129], [28, 71], [29, 78], [14, 64], [94, 129], [10, 51], [94, 132], [6, 47]]; loss = 0.038206 low_pass_filter = 0.300
+Epoch 0: | | 17759/? [2:48:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 17760; scene = ['d54fb2208e66c080', '683391876d0f8c91', '3a09916ab94d104a', 'fd1737c9d5f1cb37', 'd00df5ef865937ac', '533d7e15bdc275ad', '2a969cee05781858', 'b6505a16a99fc05d', '146f7025acd4ae32', 'dbfa4a019a577df0', '763d75d516920a3f', '3722e45b5966fc7f', '0ab2ee95193dca6d', '559d1c71c237ed63', '04d701ba49208516', '83c1f7a379ea16ad']; context = [[15, 49], [63, 100], [19, 57], [0, 42], [197, 238], [19, 59], [29, 81], [5, 49], [107, 162], [214, 261], [80, 114], [32, 76], [107, 146], [198, 237], [224, 277], [5, 58]]; loss = 0.024950 low_pass_filter = 0.300
+Epoch 0: | | 17769/? [2:49:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 17770; scene = ['427e287379108891', '7ddc7cab16aeca59', '7290906ef512f678', '199efe0aa9f2980c', '70d8a465d474acb3', 'c0fe0bd487299e61', '47ca1ac74bf7cc30', '0df41f651f4faed6', '8da41667e8f33d92', 'eefc81d648d588c6', '57b04086b86e72fc', 'e0fc35891bf29a7a', 'c1227854f6f7529d', '8376f898eabbd0e1', '3075c400813b4fd5', '13c85315b9e987d9']; context = [[42, 94], [1, 46], [57, 97], [16, 55], [0, 35], [40, 75], [38, 74], [49, 87], [91, 139], [26, 72], [84, 122], [27, 77], [51, 97], [1, 45], [49, 95], [142, 178]]; loss = 0.027139 low_pass_filter = 0.300
+Epoch 0: | | 17779/? [2:49:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 17780; scene = ['82b8fde17b54a3f5', 'eb2becccddf18213', '295a34d006c56b8b', 'f97c44861fbf71e9', '89901ed89e088325', 'a229ba49a0c8954b', '010791e6ad880079', 'bf5f57cb8135b8b2', '96d295b8471eb1d3', '6053d23b7255d9b7', '56afbceba5dbca26', 'd8e0ae0706b525ed', '06ea674963ad018e', 'ceccd6c382258f2c', 'a9ccf989917513be', '9c1dfe99d620e067']; context = [[37, 92], [10, 58], [8, 54], [8, 63], [33, 69], [36, 89], [108, 142], [126, 164], [28, 82], [28, 63], [87, 136], [30, 68], [69, 121], [9, 43], [12, 67], [46, 92]]; loss = 0.024973 low_pass_filter = 0.300
+Epoch 0: | | 17789/? [2:49:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 17790; scene = ['3536c0c4998096a9', 'b135244ca7508cf0', '1749cf5f9c36da53', '9a32a8daa43d59dc', '1b200ddb0e8760fd', 'd2df2ab53964add5', '3d9d33cc3bedad51', 'b6f35460c7ab5e4f', '1db541021f08c569', 'ce8ce7205c395b97', 'aa9501b0fe74e3e2', '16ad60739d062c0d', '27f95438492b1f5d', '03ea09bf65357e60', '5d3adfd63b17163f', 'f928d960cbfae15a']; context = [[223, 261], [64, 106], [144, 189], [14, 67], [224, 263], [19, 61], [0, 46], [11, 49], [51, 91], [49, 92], [5, 59], [115, 164], [13, 49], [3, 50], [0, 52], [29, 69]]; loss = 0.027590 low_pass_filter = 0.300
+Epoch 0: | | 17799/? [2:49:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 17800; scene = ['393d36b4e000e53e', 'd3586ad30c21ff73', '88e69571b9b3b6e0', 'a7e596c98a39e95b', 'c7ee83d8929847ee', 'b7894f3a4d70458c', '32ae7fba9602f4ab', '15026daa578fa64b', 'ee9f906c4e9e242d', '04c3209481ae9313', '817235be1a7e4594', 'bb2026b2cead287d', '7900807f65ac59df', '0b759c1c970bfe98', '232a8c69d8f69af4', '634f920c02c317c3']; context = [[21, 61], [79, 116], [2, 39], [21, 65], [75, 125], [34, 79], [43, 98], [4, 41], [12, 59], [24, 79], [95, 150], [15, 51], [27, 62], [50, 95], [5, 53], [214, 248]]; loss = 0.029301 low_pass_filter = 0.300
+Epoch 0: | | 17809/? [2:49:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 17810; scene = ['dcb9b6cfdd71641f', '5a013cbb504f1af4', '3bcde1edefccda53', '8a3e53e6daac0cd1', '28cace0a19130178', '765f5573b2c0a57e', '33765206792aaa14', 'af8122c66180771c', '1fb9d73ad18c54c3', 'e1f9b356140f5da5', '42e57c285ed7edf9', '157baee638f35a22', '8e7f0e79819eb6aa', '8db13e90869643d9', '93d09ea08f99b64a', 'dfa981a013807f97']; context = [[26, 67], [10, 60], [79, 133], [10, 51], [0, 35], [53, 97], [50, 86], [66, 113], [134, 172], [20, 61], [3, 50], [149, 199], [27, 66], [75, 127], [19, 56], [178, 227]]; loss = 0.026083 low_pass_filter = 0.300
+Epoch 0: | | 17819/? [2:49:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 17820; scene = ['3eae73bf7ce1f476', 'a8fef8171c682115', '6578c8be5634dd0e', '0936d479a2231654', '4a13ca47c05a784f', '5ed4b20886e2e819', '7be832f2890f7350', '11b97c83aa479b1f', '48a2eca91648cd85', '243fb7e3a764ccbd', '69bc2962a9ea0f51', 'c94db6c456d3f49e', 'a6bb57de6591fc6a', 'e8185a3649c3de14', 'e588519d26f0efa2', '6505aa5e0c26571a']; context = [[79, 113], [7, 55], [22, 76], [54, 100], [5, 46], [6, 53], [41, 82], [72, 119], [29, 69], [211, 265], [35, 86], [61, 97], [142, 186], [23, 71], [0, 34], [4, 47]]; loss = 0.025969 low_pass_filter = 0.300
+Epoch 0: | | 17829/? [2:49:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 17830; scene = ['524e4f274caa5dcc', '4c32d41a44e936f9', '70903c43d033db05', '884dc158899ce2e1', '986f9c8d1733b639', '389a54e3df009553', 'a97842b559fa0582', '4364c3b9403ffd96', '04ce6d1f0f049069', '48b84ebd9166652f', '07ad3c9e67f8bf95', '3baa46d1f38c6c0c', '2a43ee2f245c1337', 'c49afcdb61153e2a', '0476107845eb67e9', '042e949b55e0c306']; context = [[6, 59], [1, 35], [26, 66], [5, 49], [61, 100], [78, 124], [8, 63], [0, 38], [35, 84], [78, 124], [9, 61], [32, 84], [75, 120], [36, 90], [58, 96], [93, 130]]; loss = 0.046412 low_pass_filter = 0.300
+Epoch 0: | | 17839/? [2:49:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 17840; scene = ['0296e319701adeab', '54fc0a8c926bf9d2', '38bf775d94c91313', '241601d1769307d3', 'b00f502f468fa5e1', 'bfa559b4958cc3f0', 'b6f646046b2a6c12', 'e73c3c5ae18982a9', 'e6bfff9f049d72f5', 'a5d34020cf7cacbd', '15c33c76f8a7238e', '2cd72af45b4093cb', '1fbd3c030aafef5a', 'efcc02500ae5f63a', 'bef682a92ce892d4', 'ce267807e6f8819a']; context = [[65, 99], [72, 117], [17, 55], [49, 93], [1, 36], [2, 50], [8, 47], [11, 65], [18, 70], [42, 83], [14, 58], [19, 70], [40, 74], [25, 70], [106, 142], [29, 67]]; loss = 0.031035 low_pass_filter = 0.300
+Epoch 0: | | 17849/? [2:49:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 17850; scene = ['e7521b22cd5de37f', '31bfa11b146a0cc5', 'e49d2c550292dd20', '7c050554a8ec79e9', '37c330bfb9326e05', '7654d848e57551a4', '91084cd51335fc1d', '39197f6d0e819f9e', 'bd599705af721fcd', 'f0865a583ba09c2b', '665024ea83a665d4', '84ba6ebd8b79f00d', '2ac6446d0ddf813c', '11f64a6aade54c12', '018c2471932140c2', '01f717e1a0b3df40']; context = [[161, 209], [18, 69], [75, 122], [64, 101], [19, 63], [42, 77], [6, 43], [7, 48], [172, 227], [118, 165], [15, 63], [1, 39], [20, 66], [32, 70], [71, 115], [0, 52]]; loss = 0.031243 low_pass_filter = 0.300
+Epoch 0: | | 17859/? [2:49:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 17860; scene = ['70f18731a05c3d3a', '4c2eae92b9b0e03b', 'e8b0f3ad0f6553ea', 'b0f1e3bdd4f69eb8', '0639d31adfd1c9ea', '16010a67c32a20b6', '84492f306580629c', '518fd84c6e7d71e4', '3cc86b7a240d9487', '34b4bcac2a2e9b60', '72e27b4165579ae4', 'f6e952caadc38b08', 'ea55d305813d95ff', 'f4d325e6809e723c', '3fe8dc32517b4c3b', '4f1af4a58b5dedfa']; context = [[12, 55], [59, 99], [1, 37], [0, 37], [167, 215], [29, 63], [7, 45], [27, 64], [6, 58], [62, 108], [9, 56], [155, 204], [0, 48], [76, 127], [107, 152], [17, 60]]; loss = 0.026431 low_pass_filter = 0.300
+Epoch 0: | | 17869/? [2:49:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 17870; scene = ['eb864005eb96e04e', '87b39fab5d5d0845', '8ec32dd001a2b529', '1ab73610902ef496', '6ad946dc7c7a5ae7', '177721d767ab4daa', '958aebff5c34c3af', '9f4c3a8d89ac49c8', 'dc52369ae90fed74', '9ce92300ba034e1b', '97a349e2abc0b2b6', '5d627dc0f8bb0ca1', '69a46538362147d5', '7ef98d73d599a144', '8102b15a3f244713', '68cc6fc0ce46f289']; context = [[47, 92], [3, 42], [44, 88], [91, 132], [131, 169], [49, 87], [18, 58], [50, 100], [17, 64], [164, 218], [29, 80], [172, 210], [23, 58], [1, 37], [63, 100], [19, 70]]; loss = 0.029892 low_pass_filter = 0.300
+Epoch 0: | | 17879/? [2:50:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 17880; scene = ['a04c6af8ffb89955', '8c94bdd2b798e17d', '43ae1f4abe3cff11', '8a9d96296fcf5b3b', '7915a880baeb4ee2', '3eae752079cfc922', '622933ea3b4974cb', '6782305975ac43cd', '07d82757b10cf708', 'eeefb966e37e23e5', 'eefaa32af71b9eb1', 'b6c80ba61ce8ca3d', '5628f91af5866b6e', '484d51baee4c01fd', 'eee7fc5380122c97', '17b0ef98aa20973a']; context = [[102, 147], [86, 121], [57, 101], [170, 209], [1, 37], [37, 84], [56, 99], [105, 139], [83, 138], [85, 122], [18, 59], [1, 48], [21, 58], [81, 127], [8, 51], [155, 205]]; loss = 0.026656 low_pass_filter = 0.300
+Epoch 0: | | 17889/? [2:50:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 17890; scene = ['aa97744d1ed6c13b', 'b7aab68953b46e64', '4ca08ed9abd6d4e8', 'c5202610b421304f', '2aaf84176521c42f', 'c92d3baa79f78d32', 'c3db550fbcb1f2b1', '4e66521b32a6fd82', '95c06eb39cbc2f89', '06a891389b1fb8c5', 'eb09cd7e9ffbe950', '162bcb36d182892e', 'f792272e396d1964', '9f3a66dc64d7fdc9', 'b4f8a378557daf5b', '083fc5345f567257']; context = [[7, 62], [2, 41], [24, 74], [22, 68], [92, 142], [19, 58], [26, 67], [5, 39], [30, 67], [5, 44], [29, 81], [44, 86], [74, 121], [35, 71], [94, 148], [145, 189]]; loss = 0.025377 low_pass_filter = 0.300
+Epoch 0: | | 17899/? [2:50:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 17900; scene = ['d15550f3074582b5', '8fffbd8a963652cc', '8db3f3c632cb9cd7', '93c82fa338786247', 'cd7f33ee42ffaa99', '09df6c5611f3d193', '536853698e0d75d3', '9eb71bef64a01356', '5f27e7ce212ec13f', '2c475774db9735e7', 'f7a2600b30f6c1d5', 'd8563131cb9d153d', '4aa0b4a21c9e227d', '7675274ae392957c', '5a32c690eedfa60e', 'b70ca8062dec1f7c']; context = [[5, 56], [29, 78], [3, 45], [160, 199], [5, 50], [109, 163], [12, 62], [108, 147], [65, 102], [4, 50], [18, 60], [2, 45], [96, 133], [24, 62], [103, 145], [56, 102]]; loss = 0.029026 low_pass_filter = 0.300
+Epoch 0: | | 17909/? [2:50:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 17910; scene = ['8f54c518ad267715', 'af06c5b083c836cc', 'c83bef82111d4aad', '0615ffb1a55fd0c2', '3c3e1619744887ca', '510e05e121226e7c', '3604d95a480cfe31', 'ed981652ad74f345', 'aa5fd8173f0e59f5', '72101c504a4c57d4', 'db13eec5ac6b1c56', '067ffc09a8292608', '3055585671a8da3f', 'da36186940ee1065', 'd8d2bdf1e73f63fe', '40d0d59dea80c743']; context = [[123, 168], [123, 157], [22, 62], [18, 55], [62, 117], [12, 53], [43, 86], [0, 55], [6, 59], [9, 44], [13, 51], [17, 59], [31, 71], [0, 36], [41, 83], [156, 197]]; loss = 0.024426 low_pass_filter = 0.300
+Epoch 0: | | 17919/? [2:50:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 17920; scene = ['fedca665f193bbd5', '5ba3f48e64beb777', '198c8bb58640bdd8', '43ac09553d98fb3d', '8077f3ee01fd9872', '4977b009040e9ff4', '7f1a2e333be7f697', 'db637f1288c50ca8', '7bef257f82af89c3', 'a1206ca66f182d10', '9b75e834893b5e07', 'aaec20a7befd0f04', 'dc50de438abdb52c', 'a7c776da58a96494', '144e1ec915e46d29', '281599bbab3e73dd']; context = [[33, 71], [28, 66], [20, 57], [42, 79], [3, 54], [48, 103], [37, 82], [75, 119], [1, 51], [0, 40], [2, 45], [20, 62], [18, 57], [12, 59], [12, 57], [1, 53]]; loss = 0.027770 low_pass_filter = 0.300
+Epoch 0: | | 17929/? [2:50:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 17930; scene = ['f0c84c2247924960', '24d0366c22907366', '6f95fa3faec14a33', '19f4a3b6456d5180', 'e1b145dc4482f154', 'f394618d6654d671', 'f75b9edc2de34e90', 'd5e42e9af4ac6707', '0fcc8db684319a64', 'd5aae222a64fc818', '38d4874100b52393', '675c27a7a2bbfadd', '06a2cc8ce16ae941', '37de93f90823339f', '19f0598ab55869ef', '25e5e7cb35dd9129']; context = [[1, 54], [0, 41], [0, 41], [4, 41], [27, 75], [37, 79], [86, 124], [4, 54], [32, 77], [61, 111], [49, 94], [42, 79], [93, 130], [25, 67], [0, 46], [28, 68]]; loss = 0.028007 low_pass_filter = 0.300
+Epoch 0: | | 17939/? [2:50:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 17940; scene = ['b844d23631bf9460', '31bd6ed47b560fb2', '6f87ded85440c7ff', '8c4e4bca9b1d35e4', 'e34b20228349d7d3', '51cf388a4d04e4e3', 'e5da20a2c416b72c', 'e8e63428804a5980', 'd113b8357fa64b66', '5557b9f1f838dfb4', '29452b3952fe9c2c', '8b0de2ff7f7c0300', 'f575470bf119a425', '27d4dd7b7a6fc3f4', 'dcc9c17c7f2bf955', 'd2b1ff06c77d6905']; context = [[193, 232], [20, 60], [55, 96], [80, 114], [3, 53], [50, 96], [12, 62], [20, 74], [5, 51], [61, 108], [39, 74], [1, 36], [66, 118], [12, 55], [23, 58], [8, 49]]; loss = 0.028418 low_pass_filter = 0.300
+Epoch 0: | | 17949/? [2:50:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 17950; scene = ['c297b2c588b7abe7', 'deba314a95b4413a', '89a30f540e35e364', 'f1fae248017db2cf', 'e6ff8c686e29d759', 'be27d7753382c1ba', '531eb7346128999d', 'f7bfca3706acaee7', 'b12711bf04626950', 'f62db2ed14851eed', '9319398a68309ed5', '82524d5eded08a37', 'f76a4959d4dda998', 'b6247cb18170520a', '6762b70cfb8a36d5', '146bdf0267d4eb0b']; context = [[21, 64], [209, 257], [50, 90], [8, 47], [64, 108], [28, 74], [10, 51], [141, 188], [18, 53], [1, 56], [25, 77], [71, 123], [23, 76], [48, 96], [6, 46], [131, 168]]; loss = 0.031144 low_pass_filter = 0.300
+Epoch 0: | | 17959/? [2:50:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 17960; scene = ['32936b5443076f5c', '807f25b62e86034b', '1c0f40cd04838650', '5013ce0333bfd2cd', '1a1b424f93af5432', '7ec6f68e6166c5fb', 'c28f5b0713ea8927', 'dc31972ed0e1d8dd', '088a3f79c608abd4', '5e01f439da0de4cf', 'f8ad06eeaccd37eb', '2711c36a3be442f6', '773467e0c2dadcc5', 'dad8b744cd8e2d6d', '5b05ab7a497e95cb', '06a978db0d334b56']; context = [[34, 72], [69, 103], [12, 48], [35, 83], [172, 217], [205, 247], [97, 133], [190, 225], [22, 73], [12, 51], [6, 58], [29, 71], [38, 73], [39, 92], [22, 71], [11, 50]]; loss = 0.027794 low_pass_filter = 0.300
+Epoch 0: | | 17969/? [2:50:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 17970; scene = ['06a98db04d55c991', '9c34287c66be9375', '7c2e562c6df590a0', '8ec42c5dfea6823b', '64db7512182c3f7e', 'a273c53ccc48f262', 'b1cb82b0ad9e50c9', 'c702d7ac1f3eb359', 'e85458f034fd2a07', '349e6452635b3488', '37d53eb485e86a69', '7887a8b69eef3f6c', 'abc943c92ef0d788', '48e6e04d3415086b', '12944e020e37d73e', '747927c2fb5cf02f']; context = [[1, 55], [27, 73], [74, 119], [20, 58], [112, 151], [202, 247], [38, 85], [1, 44], [3, 51], [90, 138], [2, 41], [0, 50], [92, 129], [6, 44], [9, 59], [12, 46]]; loss = 0.022799 low_pass_filter = 0.300
+Epoch 0: | | 17979/? [2:50:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 17980; scene = ['351c033201dd3ec6', 'e6784c42ef00186c', 'b623469ce6a192b4', '7eee34c42271e7de', '6b0cc71a66f4c9c5', '979e786e327a2e38', '02510ebdd1ced810', '01a3a84800f96cae', '791584728efe6819', '151adfc15e06712a', 'f791e9c886a4ec92', '3b261bf9b0e4f0d2', '52e1723e3d61fe3f', '07cefa8832ff7083', '391850e5eb1aa965', '4c853d0e57b4934d']; context = [[10, 62], [32, 71], [24, 79], [11, 66], [89, 145], [99, 144], [84, 140], [74, 129], [15, 66], [19, 75], [17, 66], [61, 98], [20, 67], [51, 86], [12, 66], [0, 38]]; loss = 0.027459 low_pass_filter = 0.300
+Epoch 0: | | 17989/? [2:51:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 17990; scene = ['ce57b9ebde2d907c', '377453fbb03976e6', 'e34447ddccfc88ff', '5fb3bf2facd499a8', '6c9d30f8078cabd2', '0777b711796daee1', '96f60368d1159966', 'f5599ba8705ca849', '82336eca903b6e86', 'fef01b5916a7034d', '89c816fbd72e5b66', '0c47d07c62c47396', 'f8d2d50b9f02c901', '1671fe053a120977', '1c0d5ac17ebd0d80', '1068a8f9fede3649']; context = [[4, 46], [1, 36], [15, 66], [5, 59], [134, 175], [17, 59], [108, 151], [84, 122], [13, 61], [6, 51], [18, 59], [50, 93], [38, 91], [75, 110], [10, 51], [144, 184]]; loss = 0.027274 low_pass_filter = 0.300
+Epoch 0: | | 17999/? [2:51:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 18000; scene = ['2253cdcdebb8ee34', 'e1b314577540b3fe', 'c264a11347c75a0c', 'c9ed83552cac2a65', '9903d3fe63d6a818', '660c377f918f0922', 'e4f16f4b31a78522', '8392839892568339', 'bf96b085f86a316c', '974c16cd3063fe7b', '3bc995c0eac71f1c', 'f60fb1fa9fcb5fe8', '46a36899c1217f11', 'c68f15dd31feb2b8', '3eb8a02384c27dc0', '094c9e3aa6bbfdf4']; context = [[6, 43], [64, 106], [79, 114], [26, 66], [9, 63], [9, 47], [41, 77], [3, 43], [223, 257], [113, 152], [152, 199], [50, 87], [12, 48], [84, 122], [68, 123], [69, 105]]; loss = 0.068731 low_pass_filter = 0.300
+Epoch 0: | | 18000/? [2:51:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000validation step 18000; scene = ['f3f53a823ea18d9f']; context = [[123, 177]]
+Epoch 0: | | 18009/? [2:51:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 18010; scene = ['4325e5d93ac17f8d', '3093cfc489c8cd2f', 'ede431bc93326650', '224c90a016589fec', 'dd5bde1ccda76492', 'b6c4901a41fed652', 'cbb133671b625ca2', '4d850750a62bd77d', '4d65c764fda63e65', '362c5a55ee5877b3', '494fa216992cf7f5', 'eba3eac70a8adcb8', '196f22e8a9814fa5', 'fd6c49a5509e066f', '2d3889504214a739', '64057e606626c033']; context = [[34, 90], [148, 183], [21, 57], [96, 143], [87, 136], [5, 39], [107, 157], [69, 121], [24, 63], [73, 108], [15, 70], [41, 78], [84, 138], [211, 264], [2, 58], [178, 216]]; loss = 0.026695 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 18019/? [2:51:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 18020; scene = ['4a09a498e4e472ef', '775c315fd0e27ccf', 'bec7b7bd2fa60eb3', 'f81aac43ea74ff44', '65d335b19bca4c2d', '85cc8a0d62c58ffe', 'b63b97f07fbeaf24', 'e18892b50162e698', '3ca8df0cd8efdb59', '56aa518958e66903', 'e0cc4b7664a79c4d', '8c6f0f3ea9dc7bee', '9e4038d6ef007f0f', '6f2e1d1066f7d871', 'bc9172aa1955898e', 'c834b39a058f03fd']; context = [[104, 151], [82, 126], [0, 34], [0, 36], [49, 97], [48, 83], [29, 80], [33, 82], [140, 181], [77, 117], [196, 230], [66, 105], [121, 160], [42, 76], [30, 73], [104, 142]]; loss = 0.031960 low_pass_filter = 0.300
+Epoch 0: | | 18029/? [2:51:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 18030; scene = ['4548eeb71265658e', 'a89bda26fc8857a3', 'e051284e5cadbbb1', '39424ed8e995c6ac', '7399fc6bbcca8a11', '727926e871e31d5d', 'bf6ba1f1734d5bdf', '0006e8e3eaa8cd39', '02314047509da14e', '3a8b4fa297cc1414', '2212340b10c882aa', '95d2c6fca1508481', '7dd657f7a4c836ad', 'c2e52b2ebe3e7c58', 'd2f26d374cc9fc43', '7d2f9ee3c5ce33ed']; context = [[197, 233], [67, 117], [176, 218], [11, 60], [4, 47], [39, 76], [41, 97], [2, 38], [4, 38], [5, 59], [19, 58], [53, 98], [46, 86], [5, 47], [0, 55], [4, 42]]; loss = 0.025451 low_pass_filter = 0.300
+Epoch 0: | | 18039/? [2:51:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 18040; scene = ['203db9a6ce37b351', '723f157b2ec763f1', 'aee2a809c583895d', '01ed204a90430be3', '35fe94a6f4b752b3', '5c399d154f879440', 'ef706ea61b3c2e63', '175b05b368c133e7', '460d2009e8c97d4e', '3281beb44b21ae80', '4905dd1533b8ffb2', '29ad06f3162b2bc1', '73c0efa320a47a6e', 'd70552f02e4c18ee', 'afd2942e07cd0a89', '874e813188a281e4']; context = [[23, 57], [10, 62], [112, 150], [22, 57], [33, 76], [1, 41], [45, 82], [59, 105], [10, 49], [56, 107], [87, 130], [37, 90], [64, 115], [1, 39], [5, 42], [10, 57]]; loss = 0.029995 low_pass_filter = 0.300
+Epoch 0: | | 18049/? [2:51:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 18050; scene = ['a49b348548dac198', '83b9b0b07bade68c', '08fafa925134cccf', '69e94c1fd190cc2f', '6e265cfc58ee5e9e', '73382c0b5120aabd', '5661f1f6f25b227e', 'c35f0dfaf6507d58', '50f06676dfe7dede', '15c143c646be62b8', '239d2b9fd0f2c35f', '95a3e58d4935e819', '68683f955a0e65b9', '18877ce74b5084b7', '0ffa61edee2217d0', '40c71153e86a9e74']; context = [[66, 102], [82, 126], [68, 102], [6, 55], [3, 49], [4, 60], [72, 112], [29, 70], [13, 62], [203, 253], [135, 185], [38, 74], [46, 84], [121, 171], [3, 38], [2, 38]]; loss = 0.028609 low_pass_filter = 0.300
+Epoch 0: | | 18059/? [2:51:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 18060; scene = ['dc667e96abd53c22', 'b67ce20f3f4adec3', '5da91cae06b6bf6b', 'a7f56f92c31d68d6', 'fac41d1437899793', '6aa984b54d1372d2', 'ca12dbcebb3869ad', '295b0768d718d6ab', 'fd6698d9c1b2edaf', 'e1571800001bf8a0', 'f05c1d092c6ceb18', '982713565101573e', '239adc7ff39146a6', 'e393741cba862586', '6328887e79625528', '2a96abc90ad886ab']; context = [[18, 62], [18, 52], [66, 105], [73, 116], [25, 70], [8, 54], [35, 88], [0, 38], [12, 67], [25, 78], [81, 115], [87, 122], [58, 104], [42, 77], [41, 78], [65, 117]]; loss = 0.024357 low_pass_filter = 0.300
+Epoch 0: | | 18069/? [2:51:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 18070; scene = ['791154aeb41aebe5', '12e365426a204bfe', '15e37857ba740b8e', 'ea1b098bc21eb64b', 'c0d9b8245553ea43', '095889891b7da599', 'a3af6cb061c06d46', 'fa56250d112da444', 'd8e5c190e8400259', 'd6fc181ec9c1537f', '3f9ae08552374fb5', 'cad8d99d5938a98a', 'bb4c043078a5b91e', 'a6f33152fd042ca4', 'e54b5eec8cc47776', 'c3e773c9ea1f4727']; context = [[36, 81], [33, 74], [34, 78], [0, 53], [5, 43], [5, 58], [61, 114], [116, 168], [5, 52], [55, 94], [84, 132], [8, 61], [65, 114], [18, 53], [16, 56], [5, 56]]; loss = 0.028780 low_pass_filter = 0.300
+Epoch 0: | | 18079/? [2:51:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 18080; scene = ['a4ee84d202934a78', '50235e0c69e39c09', '993b224086d80631', '2b1128df87dfdc20', '48e6e04d3415086b', '747927c2fb5cf02f', '12944e020e37d73e', '6a4fd90c10640037', '073f4898bc68059d', 'ae9963ff8cd6c4de', '349e6452635b3488', '2b02940f6e4300ab', '4a8bac030ddaa027', '7887a8b69eef3f6c', '37d53eb485e86a69', 'acec98119d56fa29']; context = [[14, 48], [1, 47], [10, 62], [61, 96], [68, 110], [4, 50], [20, 74], [13, 52], [42, 86], [52, 87], [182, 224], [54, 102], [50, 105], [0, 50], [4, 40], [78, 115]]; loss = 0.026018 low_pass_filter = 0.300
+Epoch 0: | | 18089/? [2:52:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 18090; scene = ['6534207350c6ba20', 'c9e8b97faafa2ebd', 'e5dc96d4a551f24b', 'e5dc977e96e194de', '655b92a1e07f28eb', '4d716ae41fc70638', 'aac9763228745ec3', 'a931f15fa6a0b25f', 'a98853b11a34730c', '8b6551bb28273423', '3ac23dbcb3d6a123', 'fa1144b7f9d07d59', '8cc038af90759ae9', '3185573332be0be8', '53857414accb7b44', '5241930c1d2f7ed5']; context = [[34, 88], [188, 236], [8, 50], [69, 103], [225, 276], [24, 75], [63, 110], [112, 161], [20, 63], [136, 172], [133, 167], [16, 68], [25, 64], [40, 89], [60, 110], [156, 197]]; loss = 0.027267 low_pass_filter = 0.300
+Epoch 0: | | 18099/? [2:52:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 18100; scene = ['7ac1e20b737a9707', 'c0c88568d1223b9a', '2028e7685d576a9f', 'ebe5c67aecd20a4c', '6d30b36107c16f16', '86d838e5d630a422', 'eb1767752a703a9d', '65fbdf6af1c554ee', '07c89a68dcef8612', '576d18e9ac5eff2d', '0f7bdf40fd6390b2', '59fa40dbaab9e111', '974c3242a9b9235b', '79c81482b548f084', 'b12a0ab351bffd0a', 'f5f7a03a083dace5']; context = [[21, 77], [2, 37], [28, 62], [56, 106], [123, 160], [15, 49], [0, 39], [72, 120], [13, 47], [179, 231], [22, 70], [0, 41], [12, 60], [172, 209], [163, 205], [17, 57]]; loss = 0.024850 low_pass_filter = 0.300
+Epoch 0: | | 18109/? [2:52:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 18110; scene = ['e1dbf381c5e6062f', 'fb574aa41468e611', 'a37747c6526efa19', '0fbf74f0807a4caf', '6d322c643d809c22', '3e965916afe80294', 'bf3e3a1d9c79c6ad', '43bcb83cec307fd3', '45d50ae276b85405', '2fafe4c720233492', '374c8f92cf81790c', '1495ec8edae2866f', '02fa57a5ab3a1fcc', '964d56d84127b1c9', 'cb2331e540c260ef', 'e614acc38ad1958e']; context = [[182, 222], [165, 218], [78, 133], [154, 191], [116, 172], [1, 35], [12, 61], [23, 63], [0, 37], [6, 55], [83, 121], [26, 78], [5, 58], [51, 86], [117, 157], [80, 130]]; loss = 0.041976 low_pass_filter = 0.300
+Epoch 0: | | 18119/? [2:52:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 18120; scene = ['d31dabe7c96bc37e', 'a9df659c4acffb49', 'b7a4f7a6d35961d4', 'b8e146f9267164ea', '5acd43cd94a69279', '13fd68bb0100ad1f', '924c32f78e96f7b0', 'e1e79fcfe1891c76', '53a0c8f7a231f22b', 'ababe0fcdff0cb9b', 'c5e63a8726d8d66c', 'd83adec7ec2084f0', 'f71382a605a56ffe', '5693b9b70c4d1ddc', '5cc6a2fa5f0a41a8', 'c180b05e16a46ac6']; context = [[53, 107], [3, 55], [98, 146], [39, 85], [120, 157], [27, 65], [139, 180], [9, 60], [57, 108], [52, 86], [10, 63], [209, 243], [43, 96], [60, 101], [10, 44], [78, 115]]; loss = 0.027028 low_pass_filter = 0.300
+Epoch 0: | | 18129/? [2:52:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 18130; scene = ['0b4070d37e896388', '4cd18aa0eddf1c14', '114722dab6907d8f', 'b28ac5a98c93f8d7', '9cc8edf8ad90d501', '536722ef3e6c42c0', '8e4631a328f2870b', '1a879e247676f602', 'f2017756888413f5', '4c8af0d24086244b', '173d17a265c4d133', '1c4574a370bbaa00', '9ad01eaf5e7a6272', '926c375e9e97645f', '14c89d90e8cd6c5a', '80a2aa476e1f0685']; context = [[5, 45], [0, 38], [55, 96], [0, 40], [29, 65], [54, 102], [27, 64], [45, 79], [11, 48], [149, 204], [0, 49], [0, 43], [1, 36], [8, 53], [3, 54], [54, 91]]; loss = 0.026781 low_pass_filter = 0.300
+Epoch 0: | | 18139/? [2:52:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 18140; scene = ['ff6ac8d2fdd0b884', '354d09806f690d23', '7c68690722edb3cf', 'a11083d7abc86e30', '30f3988596f209ca', '6afad1b7b4d32884', '227ca171b4fd59c7', '9c04998debe3302b', '783014bf9bd8342a', '8fa13f57998d5db1', '85339358654d39d2', '7e8e2c1ec16ca90a', '75d3c0a74d25d6b9', 'e062e2320ff7cc68', '66d4cfd1f0b91bb5', 'ceef2c85187c34bb']; context = [[121, 174], [2, 39], [8, 53], [70, 125], [50, 104], [10, 60], [81, 125], [18, 58], [173, 222], [15, 51], [47, 83], [8, 55], [40, 84], [15, 54], [1, 36], [7, 62]]; loss = 0.032813 low_pass_filter = 0.300
+Epoch 0: | | 18149/? [2:52:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 18150; scene = ['b8ab08f0e030777e', 'd64656f9226227a8', 'a90d7e1f603c2678', '852379c2f0247491', 'a2db1a09f3dc926c', '529d6867b661f694', 'e69dba4f460252f4', '1d8c476a1d7ba676', '8ec569a60a2574c4', 'e2487e8621c1d42b', '27e964e81146cb3c', '160a5e836891dc9a', 'bb54979865b17a41', 'cf1150104e980262', '44c6cc560e88c7c2', 'd7b9f499f7000d79']; context = [[33, 79], [13, 63], [48, 96], [69, 109], [62, 101], [58, 96], [44, 89], [25, 61], [205, 256], [31, 75], [67, 104], [11, 55], [7, 56], [140, 180], [47, 87], [171, 208]]; loss = 0.036866 low_pass_filter = 0.300
+Epoch 0: | | 18159/? [2:52:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 18160; scene = ['ecf309ffadd46a42', '8e30c261124dac91', '9d67cfafbd23367e', '0cd1b0470eccc71e', '8ff606e3b4579d71', '1822b50faf4d9e67', 'eb903c09804d201d', 'd9dccd1426001628', 'c3546f2378897274', '5f6cb93dc08fc1a6', 'a1263b3db507aadf', 'a783f75bbaf79a7e', '58278081778e848c', '9c9956683afa0635', '852379c2f0247491', '7bc880614fa3e331']; context = [[43, 88], [26, 77], [49, 88], [12, 67], [63, 108], [17, 62], [0, 49], [27, 70], [22, 72], [74, 108], [0, 35], [0, 54], [30, 76], [46, 91], [30, 86], [25, 81]]; loss = 0.029284 low_pass_filter = 0.300
+Epoch 0: | | 18169/? [2:52:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 18170; scene = ['04f4b776f5977a38', '4395faa9194bea81', '8ac74f698e20d973', '8130ec78d068528f', 'fdeb338cf4c3ce7d', 'ebc5a6bd55511e51', 'f447bda6e847100a', '804c8a7e019f74c9', 'cc86a5c7153ad651', 'e20bcce405ebc05a', '67f532ee7b3422e9', '7f13d0519277357a', '01c2018ab9fca9bb', '4dbe8740d992c3ff', '2535d1b64b03e1e7', 'b2a4475ceed93e3f']; context = [[146, 199], [160, 210], [28, 66], [189, 236], [11, 45], [34, 84], [14, 61], [166, 211], [40, 84], [57, 97], [38, 78], [28, 65], [91, 128], [40, 81], [48, 89], [23, 78]]; loss = 0.028335 low_pass_filter = 0.300
+Epoch 0: | | 18179/? [2:52:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 18180; scene = ['1e0023efed6183a9', 'dc015aae44af1ee3', '7d1a5c5ed1505601', '0a28e6dad8e7b89e', '8d96d7e89d8e0026', '449002ada2ccb247', 'a6d7ad61aadbc7f1', '4c62fab420d2ad73', '1daa5a27b4119f90', '08910ea87a38fe67', '2fe5a6b92cc71b74', 'fdd79619ef66bbf7', '442b8ca8e4a5a01c', '727d3f54f1a28a77', '4c4c66eb8440e75e', '41893f4de30cd0e2']; context = [[0, 40], [8, 44], [49, 98], [2, 41], [17, 56], [29, 67], [41, 94], [216, 254], [36, 90], [9, 62], [25, 79], [140, 188], [6, 50], [5, 40], [18, 54], [2, 55]]; loss = 0.026506 low_pass_filter = 0.300
+Epoch 0: | | 18189/? [2:52:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 18190; scene = ['7ea7fb4593690bc0', '152f4c5b20ee0ee4', '147af6c3540e5204', '63c9bbadf67d221b', '773bd707bfcd6f0b', '1eaa9fc083b6f746', '005ffc1aae84bdbf', 'a203b03766bef01b', 'b92f911f9e885da2', '25f2dc2a0fd895aa', 'ad5860bc55ead845', '4709fb0f561e0bda', '3c7c7a9efd56d2c8', 'ba30c9286512bd26', '5d456713844a86b4', '24c48d5c3c1ad376']; context = [[12, 50], [3, 49], [6, 53], [73, 125], [19, 64], [21, 62], [34, 88], [0, 53], [75, 111], [83, 123], [36, 81], [86, 122], [27, 76], [168, 204], [232, 268], [185, 236]]; loss = 0.027565 low_pass_filter = 0.300
+Epoch 0: | | 18199/? [2:53:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 18200; scene = ['246fed0a9b054ee5', 'd9effdd73ed277c5', '71aaf67494c15541', '63da47e50e923268', '08f81561d2f0195e', 'dff8abe7fb65a56e', '402d1153b582b8a8', '9790cca738845fd8', '29abc638286c5fea', 'eecabe2d591d9fc2', '792225d2e2a82033', 'e6c85be23fed04b5', 'f34809973ead56df', '6d90494a91d08cb0', '4ab0fc22f4d9bd6b', '38e8301a4405eca6']; context = [[136, 192], [92, 143], [14, 68], [36, 86], [136, 176], [192, 244], [0, 41], [11, 54], [29, 73], [47, 82], [5, 41], [12, 56], [27, 78], [38, 84], [1, 48], [9, 64]]; loss = 0.045219 low_pass_filter = 0.300
+Epoch 0: | | 18209/? [2:53:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 18210; scene = ['ed597ec28cba325b', '2a7814a09f94b1ef', '76a7e3baa458cb1c', 'ddac7e2745479412', 'e94399e61cdc8ee7', '87859560d110e619', 'a79878c670ca903f', 'd4bb75af014f9427', '47d8f4be2be93a36', '047e7dfc69533d85', 'f04708b15586fceb', 'f279ee0ac940c8f9', 'f6ed403d51c084b2', 'c3f121951504f029', '09f5ce489b61a6cc', '0fa85c737e39a16b']; context = [[33, 82], [12, 50], [0, 52], [5, 39], [72, 116], [98, 140], [16, 50], [25, 61], [54, 99], [39, 95], [34, 83], [59, 98], [44, 95], [118, 169], [27, 61], [27, 74]]; loss = 0.021539 low_pass_filter = 0.300
+Epoch 0: | | 18219/? [2:53:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 18220; scene = ['02660d7eeff1def7', '888a7a590e630ab3', '8a9eb2e62d13a16e', 'df23de9560b63c4c', '928cbcdadafd9162', '7bf3ac0210a2493e', '438f0c1e909944ac', 'c6959359a3c326fc', 'fa70653c9afc1d26', '13a5073f10bd6548', '4fb34e6488c11bd5', '6d8bfb763a4b5db3', '83b176991cd278e8', 'a329ff03f82e42f1', '92faee076ed2ae40', '28478600e3b81375']; context = [[82, 138], [31, 69], [32, 77], [1, 43], [32, 84], [5, 54], [21, 68], [9, 48], [8, 56], [24, 76], [85, 126], [14, 50], [4, 39], [96, 144], [75, 118], [0, 48]]; loss = 0.026454 low_pass_filter = 0.300
+Epoch 0: | | 18229/? [2:53:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 18230; scene = ['1763de5053513f19', '1c8f2370f5f1779b', 'bdd954715536117a', '5cc94bb94a52ebb6', 'fc31902e9a98a596', 'f61d7b73c1641023', '3e3fb6f137b8aeb7', '98b44ebdf2f794db', 'ac65b15a2ffa472a', 'ba81a709a3ccbf60', 'f65b0f1c85220945', 'e0c6d65300fd0eca', '98d0bc07e597d5b4', '86aea91ce8ac07c6', '108004383c3ebe6a', '6c5febd1d956e17d']; context = [[24, 61], [3, 53], [8, 51], [100, 145], [17, 51], [13, 67], [18, 61], [1, 35], [42, 89], [84, 126], [21, 65], [7, 44], [40, 87], [54, 89], [0, 34], [26, 77]]; loss = 0.024164 low_pass_filter = 0.300
+Epoch 0: | | 18239/? [2:53:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 18240; scene = ['179597469d220854', 'f8b5523fcadeddc4', '0dfd716fde1dd41a', '166c0676a47bb041', '8c219866f7654022', 'ac495df935b4e2ed', '3b671f868140da57', '207c2bc4b59f6f8f', '6260e3927b2ca5c7', '7588d7f435201409', 'd997a096b875c805', '91f98f141ee8cf7f', 'e050481aaa33e29c', '632247c719d13ac2', '6bd432a1ace69b56', '859fa87773fc4afc']; context = [[73, 129], [137, 173], [10, 55], [8, 64], [20, 66], [54, 99], [0, 35], [3, 44], [2, 54], [115, 159], [4, 55], [5, 46], [58, 104], [80, 126], [21, 76], [90, 134]]; loss = 0.028012 low_pass_filter = 0.300
+Epoch 0: | | 18249/? [2:53:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 18250; scene = ['1a33be72987c0159', '4edda19fc6bf05e6', '7bc220bde1ecc99c', '91a10f355844279c', '07b97ac9bbd7f7b5', 'ccd43acf778deb98', '85192571440277f0', '0da569d99405b772', 'b72ac3ba4ab363e1', 'aa595348b3b726a5', 'dbf41936e7ae1296', 'e0306f2e3e069458', 'e2eda2dcbe5ec24e', '0f81dd482ac2903c', 'c64adbc702b803a6', '491fb1a7fed76dc0']; context = [[13, 47], [51, 93], [23, 57], [104, 160], [52, 90], [158, 212], [8, 50], [20, 60], [31, 80], [14, 50], [8, 57], [52, 105], [11, 65], [2, 45], [31, 73], [5, 56]]; loss = 0.030593 low_pass_filter = 0.300
+Epoch 0: | | 18259/? [2:53:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 18260; scene = ['d58d5c6a87dd5dea', '2bd6b11df030a5ec', '9327d6be6d69b135', 'e3e8d578bcdf23e4', 'eab2801e7ce5e17a', 'fdf733d3297e24f3', '2a6b47d35a74d85b', '9411f16aee4d909f', '3567e42cd469fe52', 'b01cc99c3f15ace5', 'e5b31afaee88be2c', '146eb92a5a651333', 'bc877ec05ab68609', '9c5db6994c974162', '890d0ceb50454ee0', 'dc0a4c6bbe93b0d7']; context = [[84, 124], [46, 96], [5, 44], [3, 37], [5, 55], [22, 65], [4, 54], [180, 215], [41, 83], [176, 227], [65, 100], [5, 55], [19, 64], [93, 131], [154, 188], [48, 97]]; loss = 0.028445 low_pass_filter = 0.300
+Epoch 0: | | 18269/? [2:53:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 18270; scene = ['14a5a9be7c637dfd', '847ffb5da550c38b', '1c1261ef4744a1a9', '384fbfea1a24cc4b', '0c808be8b8b4cf9e', '3bba9ca3cdea84f6', '572170ba09aa2723', '05927b7094d0cf92', '3f40a05deb57517b', '09a6ab6ebfa53654', 'df91064f4d75da1a', '0b54a4290140f2da', '25aca069a7b5ad8c', '4a609368e3b1a0e2', '2e942afcd1334f69', '9b72c44a6343236a']; context = [[55, 93], [1, 39], [119, 163], [36, 87], [17, 62], [20, 66], [21, 71], [24, 61], [19, 53], [2, 54], [142, 189], [190, 243], [29, 80], [34, 82], [5, 45], [20, 76]]; loss = 0.026595 low_pass_filter = 0.300
+Epoch 0: | | 18279/? [2:53:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 18280; scene = ['6102005c6aa4af25', 'c472581eb9a351cb', '41d5e2c76fc98daf', 'c21766bd51fed5bc', '4520905687a0a140', '87f209fd7136651b', 'db006e93c705bdfc', 'a85647cf663c232e', '421c253b75c9837b', '285e71a142648b59', '1c623d258472de23', 'a74bc46de5a58ca9', 'ffe1aa38cf3c314d', 'd1bc8f60e738a862', '0ddb9e85fadf188a', 'f8d802b8809927c3']; context = [[20, 71], [106, 142], [86, 133], [10, 49], [230, 266], [35, 84], [1, 36], [39, 76], [53, 107], [141, 197], [36, 77], [110, 158], [13, 62], [74, 126], [14, 58], [4, 58]]; loss = 0.025245 low_pass_filter = 0.300
+Epoch 0: | | 18289/? [2:53:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 18290; scene = ['8c058dcde89e65b1', '167ec6176da15b0b', 'd966e7c0739c36a8', '93211c8c0ea19307', '829c847536f4ed7c', '61e661613b2d25d3', '6a350ebce6b44cf8', '090563e6281b200d', '71a67ae4eccba383', '2a5f0ea759c4a950', 'cb68843a409bae9d', '46bd6752c4ea9d50', '678d2e43ab3e3371', 'dda98b150531b29e', 'a152a4b1f19f25ed', '92c72363c53e8498']; context = [[10, 65], [1, 52], [9, 52], [50, 87], [66, 122], [64, 99], [29, 82], [113, 161], [77, 113], [59, 110], [1, 52], [41, 92], [46, 94], [45, 90], [7, 52], [1, 51]]; loss = 0.030400 low_pass_filter = 0.300
+Epoch 0: | | 18299/? [2:53:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 18300; scene = ['fff923a9b6bd66d0', 'fba4077e3266cf2a', '314ffe1c4140684e', 'bfce2ee21425a4b1', '4d8ce79fe1dc76ea', 'c13a53c648b36401', '40376e9c2cadecbf', '124a8e1a8219f20f', '7025666cfb44748a', '3840264dfb7c4d0b', '004daabedd090309', 'fa0ebac9a7dc602c', 'bb32e9a89ca9387e', 'e8de65fe4e647a7d', '71d70edad4f466d8', '31250ac58b3e32c9']; context = [[15, 58], [4, 58], [5, 55], [71, 119], [101, 137], [22, 57], [195, 230], [58, 113], [40, 75], [11, 63], [41, 89], [4, 43], [205, 258], [19, 53], [34, 69], [54, 101]]; loss = 0.027717 low_pass_filter = 0.300
+Epoch 0: | | 18309/? [2:54:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 18310; scene = ['14aef9a47d9d0adb', '6e4e3ca312aeca89', '76249ef3f80465ef', '18c9eb6a083050ab', 'b71eb67f42fe4777', '089438611d6bb03f', 'ec1288c83e6931eb', '7b28545e0b1de8d6', 'd9408438cb04cc3b', '060f845d914b375b', 'ecb3d127960785e6', '4c695d737359d9e7', '3452e92c33da15ca', 'ef37ead68f1e378e', '2d17606e514a2dbc', '5928418b505f300b']; context = [[45, 97], [38, 88], [38, 82], [2, 38], [70, 113], [1, 46], [0, 52], [67, 113], [13, 59], [42, 81], [117, 151], [28, 64], [30, 74], [19, 70], [18, 73], [61, 103]]; loss = 0.031411 low_pass_filter = 0.300
+Epoch 0: | | 18319/? [2:54:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 18320; scene = ['4085aff1753b53ac', '1d4f8bd46c960db8', 'c7f3ba9289f424d4', 'f765a2b14a33fffe', '0849a021a3a51cb5', '9e3c6f6868453f09', '5129718570b4de96', 'bf44ecdafd3fc91b', '19075f7c930c8fd7', '4df1bd8504fdc8c8', 'f150a1954377bec6', 'db1a7cc25841ace2', 'cc41db844962d020', '4b7f3f58b0838d38', '1db7b91f8baf3aad', '161ac23fc7202698']; context = [[4, 39], [24, 65], [46, 99], [51, 98], [27, 68], [43, 86], [24, 74], [178, 217], [68, 122], [6, 61], [51, 87], [133, 182], [79, 121], [20, 55], [3, 59], [34, 78]]; loss = 0.026252 low_pass_filter = 0.300
+Epoch 0: | | 18329/? [2:54:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 18330; scene = ['3918e4998619b227', '09a1e9bbded02341', '52ba723e1b5e31da', '30e1d420b926d6f0', 'b23cbee05407661d', 'd069c35354465fa9', '2a23966bfac99977', '1db855eb2be5b983', 'd1a496112cee9a32', '14270bac7ebd4ce4', 'b6f65429632f92fa', '8902e97c5814433e', '9385417613453951', 'd00bf9c20463c925', '2bda64489943db2d', 'd765975fd4b393d3']; context = [[35, 72], [33, 74], [14, 56], [80, 128], [100, 151], [0, 39], [17, 71], [200, 246], [28, 75], [66, 106], [15, 49], [14, 67], [84, 124], [33, 79], [4, 46], [19, 68]]; loss = 0.027518 low_pass_filter = 0.300
+Epoch 0: | | 18339/? [2:54:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 18340; scene = ['6ed7035ece6b581d', '7f0e6c095567322f', 'abd87f1b5936bb26', '9bdf01f7f007a388', '30be17507c872508', '33152d559f58f283', 'f0fbc2d05c030b1f', '9764623d64fd8c79', '6f8dd2aaf516843b', '057aed77be9938e5', '6ab9130bb775eeb3', '6ada4783e43f0146', '7ad8998a09b3b298', 'cce0ef8d8c256f0d', '1ddbae6bdf4de387', '7c2f40d017ef9cda']; context = [[11, 60], [52, 102], [0, 44], [31, 67], [20, 74], [0, 56], [11, 61], [15, 57], [69, 114], [5, 61], [19, 67], [25, 75], [2, 39], [64, 107], [63, 114], [16, 58]]; loss = 0.031640 low_pass_filter = 0.300
+Epoch 0: | | 18349/? [2:54:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 18350; scene = ['cce776cba18d88a3', '3ec6e37fc83d8cb1', '8c97122ef8c219f3', 'd0b0b6bb1a8ddf25', '652aa3fc24f9acd4', 'fd75df33c92b8b7d', '638e60ddbc032e18', 'fbe21b4757833c52', '22304d25ff8fdb21', 'def34b505175c879', 'acf3f0b89e788b5f', 'e7a2deee0dfdfc9b', 'ccc3c526fca2efc9', '57edf016011a8725', '1ccda2d2f30c1ae4', 'fb2237d2952644ae']; context = [[17, 62], [50, 100], [175, 218], [62, 113], [211, 254], [117, 162], [228, 276], [112, 156], [11, 46], [212, 261], [90, 145], [10, 48], [44, 88], [4, 43], [1, 52], [92, 129]]; loss = 0.027507 low_pass_filter = 0.300
+Epoch 0: | | 18359/? [2:54:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 18360; scene = ['8026620adc8bbca9', 'd2fc8bb1e626f266', '87b0132f747a2e25', '13efef8e53154b7e', 'a3a79b5f6ca5e6af', '71957e818c5447d3', 'f11dbe2f4715374a', 'c9c5b6a222e95638', '3e4cf3c544701784', '793af8b07adbf890', 'a153b1e139e7f546', '600f5072f9d48334', '179df99f00f05473', '14786c16a13c740a', 'bb325552ee5fd2de', 'a87bd967231bd348']; context = [[20, 76], [24, 59], [0, 39], [57, 112], [45, 101], [41, 87], [3, 44], [26, 64], [42, 98], [6, 44], [129, 184], [106, 159], [1, 38], [0, 40], [7, 54], [39, 90]]; loss = 0.026894 low_pass_filter = 0.300
+Epoch 0: | | 18369/? [2:54:38<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 18370; scene = ['8bc195147942ed17', '210453e1d754af6e', '82710ae1d85fb247', '1164f5249fa700ea', '515583ca3493111d', '794a33acf2a0863e', 'cce0c126b9b53bfe', '70a6534438ec97db', '88b2ace543554005', '0e969f24a01a0e5b', '4281c9c2d1655e67', '786d4e8a8c162c2c', '36f77b7e22d93207', '6f960d30479535c0', 'e62cc4d8f3efe6cb', 'c82ebf2a71996942']; context = [[4, 54], [31, 74], [162, 196], [142, 194], [10, 64], [136, 179], [32, 77], [102, 146], [88, 124], [203, 241], [41, 97], [90, 134], [116, 165], [29, 79], [44, 87], [53, 107]]; loss = 0.024191 low_pass_filter = 0.300
+Epoch 0: | | 18379/? [2:54:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 18380; scene = ['53d4a63245e810d5', '89b5ec9b0cdd9abf', 'd83f2d1ffd5fd125', '53cf2cc7b652652e', 'fa632bf50b38bae8', '07a25af6fa4f67f1', '4cd63d7db9016541', 'db7a639eb376d2bf', '3f771cd05baf3191', '04635aa0ab8b1be7', '4994f79523443d28', '7c9d31be8c9d4e98', 'f9ba6c7965a9d01b', 'a8f03ba94fba80b7', 'd50b81adaf488575', '152ec9bbbb4d13d2']; context = [[42, 84], [27, 61], [91, 125], [22, 57], [29, 77], [66, 100], [47, 94], [9, 54], [21, 74], [4, 49], [50, 89], [115, 153], [28, 70], [36, 89], [11, 64], [12, 61]]; loss = 0.030557 low_pass_filter = 0.300
+Epoch 0: | | 18389/? [2:54:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 18390; scene = ['9f8ece2ca66329ed', '57aa8ea646fd3873', '2118b6f58a7c23b8', '71bb635a79452a2a', 'af225c1d1a503b76', 'a1312f7fbf0f09d8', 'd9ab071a4a512b35', 'a40b41c43b39315a', '304e4b99a49a09b4', '5b551abcbd9abfff', '5504408192268809', 'ad5da2dbff32a118', '9aa6a430ba45a983', '8de3f05e796ac83d', '77558b2d2c2b4265', '9b9632b6f2b09ee1']; context = [[19, 61], [0, 55], [7, 55], [41, 96], [14, 54], [37, 72], [191, 242], [0, 43], [34, 71], [174, 215], [23, 58], [132, 181], [2, 52], [58, 100], [9, 52], [12, 67]]; loss = 0.026536 low_pass_filter = 0.300
+Epoch 0: | | 18399/? [2:54:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 18400; scene = ['6f6b3630c1daf8bc', '59de2764607e1b8f', '2b92e1411ef38e4d', 'c1fec197b3a59315', '1a251dc2dac5cd26', 'f76db35ccf517018', '77d9893ba17a1330', 'abffceaf0098faa8', '0ca219e558a9ced6', '98b99eb5c3bd9603', '1d08d09515970972', '9a1d44db3a25db6e', '220dce699828800e', '86ad7073445c5301', '29c107478a356315', '3dbcad1eebd8c8a7']; context = [[20, 56], [195, 248], [1, 54], [0, 39], [31, 69], [98, 149], [54, 92], [2, 50], [69, 106], [0, 36], [17, 60], [52, 94], [141, 179], [17, 63], [31, 86], [117, 166]]; loss = 0.029484 low_pass_filter = 0.300
+Epoch 0: | | 18409/? [2:55:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 18410; scene = ['1a4c1a100cc1591b', '436dcc5419206f64', 'ff302ea5bc2cabdc', 'c0762ed9f04975c6', 'd53bea12fd3fb6b0', '194bbd8919fa06af', '26701072b1591699', 'f2733e8cc2306488', '2a42dab87b71b88e', 'aace48697cb07a11', 'beb770324d0f9760', 'adc9957afc8f74e9', 'fdd724537c1a4c3b', '2b03b18b7d2d3a98', '2e65e53594c6774f', '4e45c9526d78ef72']; context = [[226, 261], [12, 57], [4, 47], [92, 148], [27, 74], [29, 80], [9, 56], [94, 146], [0, 35], [7, 58], [9, 58], [5, 53], [15, 68], [25, 68], [50, 85], [33, 72]]; loss = 0.028989 low_pass_filter = 0.300
+Epoch 0: | | 18419/? [2:55:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 18420; scene = ['80c36f3524b4ad8c', '7392304374659efc', '25f5058d556324fd', '167b3ac16e642dac', 'f0f12c1c465e21e5', 'd9b2177e1999aa88', '72fe0395095d3abb', '9bbdffac7c93063d', '645567ee2438a9bf', 'b7f47dac8c0ae90b', 'c9de4d71fde8bf65', '7a06eb9ada098378', '79b01e4345584de7', 'efc8b93133b0f6f4', '1484e9c4187a562d', '070f0f205e58ec62']; context = [[8, 48], [19, 65], [0, 36], [223, 266], [54, 104], [219, 260], [22, 59], [20, 61], [80, 115], [25, 77], [77, 120], [59, 114], [9, 57], [18, 71], [4, 48], [31, 84]]; loss = 0.025242 low_pass_filter = 0.300
+Epoch 0: | | 18429/? [2:55:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 18430; scene = ['e2bc4d880f60adb9', 'a37c6a2facaa701f', '6087f77fb4177410', '5b566e1764ab72c5', '01d9be152232032c', '593878463d41539b', '6915c82c1126fc3b', '7d765fe18635a270', '6bc481df13d37492', '623a995282f38ea7', '7c40d36c53875062', '1564e3963a26d03c', '0f5bf8f5bc26eb2e', '9bf240527154779e', 'ac71d3b414f5e9f3', '13d62e6992367b80']; context = [[12, 59], [40, 79], [29, 72], [60, 114], [21, 58], [9, 45], [0, 49], [78, 133], [25, 71], [18, 65], [11, 62], [13, 68], [11, 58], [10, 65], [15, 54], [54, 109]]; loss = 0.027881 low_pass_filter = 0.300
+Epoch 0: | | 18439/? [2:55:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 18440; scene = ['21498fbe61ca3974', '4c01186382ecdb09', 'cfc2dff63bf01958', '873ef55396bb770f', '9a6c343fec9da347', '6854cdb73b5a95d4', '0a08efb286b97b9b', 'f139ab06e65c3762', '84d357fb13b45975', 'e3d0cca5e61b6b3c', '2eca62a782bb02c8', 'c4b27a45d91f3791', '1bd64b4080442b17', '36b7ccfe63ee6880', 'd7d963a5b41cbcf8', '0f1cb2c833e548e1']; context = [[11, 67], [190, 237], [22, 65], [1, 35], [31, 76], [3, 50], [161, 200], [31, 71], [70, 113], [11, 60], [3, 43], [12, 54], [13, 55], [2, 51], [7, 62], [24, 69]]; loss = 0.030550 low_pass_filter = 0.300
+Epoch 0: | | 18449/? [2:55:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 18450; scene = ['bd15cdb6544e4b4f', '46a16b80d7b725c1', 'b43104adbdf3b1a0', 'a1a44fdd4720ce4c', '225ee824e3d5dc51', 'ce39744fa5a6e73d', 'c50bf41a6ae14f25', '5d1517dad9f9fbb6', '9df293d4cff7a027', '8ecf1e4e58a9553d', '7341e63a7c77334f', '6223a7a4c451dfac', '00ad47b927f0c851', 'aaf53710fd4ba7fb', '83d97ebbe2e3c69d', '004d2899ce6cfd7e']; context = [[28, 67], [11, 47], [167, 215], [10, 61], [79, 119], [0, 52], [1, 49], [3, 53], [57, 95], [46, 91], [17, 63], [107, 148], [5, 42], [218, 253], [18, 65], [66, 100]]; loss = 0.026895 low_pass_filter = 0.300
+Epoch 0: | | 18459/? [2:55:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 18460; scene = ['f7bfca3706acaee7', 'be27d7753382c1ba', 'f76a4959d4dda998', '531eb7346128999d', 'f62db2ed14851eed', 'b12711bf04626950', '65e8056ea2cee790', '84e17c90adf82d3f', '5bff580b11c1d3a4', '924dc58634bfef3b', 'e910f82449c902f9', '7b4d0cb42e1b3197', 'a859d007d39a68f3', '5d5fcf8a69870c95', '8ff9e75e25018b62', '73bed0f6a4b9b166']; context = [[134, 189], [22, 75], [36, 92], [60, 97], [56, 106], [7, 52], [3, 49], [111, 148], [32, 87], [3, 56], [103, 159], [28, 71], [4, 58], [54, 93], [57, 108], [32, 79]]; loss = 0.025227 low_pass_filter = 0.300
+Epoch 0: | | 18469/? [2:55:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 18470; scene = ['ec719970f17f2eed', 'ce31e33f156aeec5', '6f515f805a3d2848', '214c29d12940696a', '9687e70e5f4eed37', 'e599e584e54fd42b', '756a0a00121f53d3', 'cdcc58497fc89b85', '18c6d122fe4c3dc9', '97a395ac62304d1b', 'bdaf42f6d92c13a4', 'c073e79fc1a1913f', '7e3991a1e57c1b92', 'c9fb94c034427022', 'e621fd73ae473881', '36e9f6aa15a645bc']; context = [[10, 63], [87, 142], [47, 84], [15, 69], [14, 60], [9, 49], [1, 41], [3, 54], [2, 56], [188, 241], [42, 83], [73, 118], [123, 158], [0, 36], [39, 80], [14, 62]]; loss = 0.032316 low_pass_filter = 0.300
+Epoch 0: | | 18479/? [2:55:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 18480; scene = ['296063ceba643c07', 'a67e709b68b7163d', '7e34a8e57c879465', 'bdf562da5cc7475c', '5a9672017ab85918', '723f94d150ab09f2', '48c804cdf23efb75', '18aecc2e66ae3112', '31240f5e4b708132', '8dccacc5fe8bf81a', '6e5505414fd63528', 'f79131c37898081d', '5dd74e1b033f8b76', 'ba6bf49cf0b22c94', '9e6d5b78c1967c26', 'bcaad1326a06f2df']; context = [[92, 142], [23, 71], [4, 60], [42, 82], [16, 72], [104, 151], [92, 138], [77, 120], [34, 83], [20, 64], [28, 81], [29, 68], [6, 60], [9, 50], [120, 170], [35, 71]]; loss = 0.027096 low_pass_filter = 0.300
+Epoch 0: | | 18489/? [2:55:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 18490; scene = ['eb4564ff70997029', 'dfb5ff252e8d744e', '90d558cf6e28e118', '50df652eed62ded6', 'db7ab4ff7d59a066', 'd19836a61f80f65a', '26088dbd45a7aa54', 'd40f8c821c094033', '815e194dbbd8df15', '30c4e4e000f6e116', 'a40168cbb4106e66', '1028b6409fe844a9', 'dff49a02b469a780', '13340b4c0df80e3f', '693d722638a2224d', 'c05d8cf8670ab48c']; context = [[111, 148], [22, 67], [38, 83], [65, 110], [7, 43], [14, 51], [1, 52], [12, 50], [113, 162], [107, 153], [5, 43], [184, 239], [17, 64], [36, 90], [9, 53], [79, 127]]; loss = 0.029581 low_pass_filter = 0.300
+Epoch 0: | | 18499/? [2:55:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 18500; scene = ['cfee77c0ae0956f8', '0ad07becd5278e08', 'f05b0d2de6f263ff', 'adae27b073e92904', '87d6c736b31761f7', '43c173591e7de4e9', '0a1abaa6ea233a54', '2bac81068ebb0b09', '19d3d89506b5895b', '7648e09787b5ab2d', 'fb5f6ef461418097', 'e50e974531275016', '22aaa7d6980b7c1d', '25b3eb02b0915107', '73f6ac2c4b2d44f3', '68df89951fc13293']; context = [[68, 121], [218, 255], [21, 68], [23, 60], [36, 70], [5, 51], [61, 114], [21, 61], [0, 46], [18, 60], [56, 111], [190, 243], [63, 98], [86, 134], [2, 56], [31, 71]]; loss = 0.030666 low_pass_filter = 0.300
+Epoch 0: | | 18509/? [2:55:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 18510; scene = ['850fe18254e517b4', 'ab78b3eb64029b73', 'a1d1c182d3b2ee90', 'c9266f8b6968ca51', '0a2b30f8255c2a93', 'b6d6a1ec65fa5263', 'e3b385876279e0fc', '2578cd7cec8068b4', '2bc8b64aafc5870c', '50641afd11ba76f8', '5195d6199756de8b', 'abe6335b937ba7c6', '0e895dab0c10b89d', 'a212154cd39361ca', '55595976706bb7a8', '98d47fe7993b4d5f']; context = [[15, 67], [88, 135], [22, 79], [5, 43], [0, 41], [6, 54], [12, 62], [104, 159], [119, 162], [141, 186], [33, 74], [58, 113], [110, 147], [0, 34], [44, 79], [42, 81]]; loss = 0.033687 low_pass_filter = 0.300
+Epoch 0: | | 18519/? [2:56:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 18520; scene = ['08f62581d3c0cd3b', '5a1c3e7d540db485', 'bfaf41c1cab8e2ed', '49bcc3c9e090dad8', 'ff88889c88690944', '7ca92f7455e150c5', '4b16dc601623399e', '67278dd47246bf21', 'e7997d8b510b40d2', '5fd9259b0e59803a', '185734f346da3d9e', 'da277be2ddd6be22', 'c442e876460bd2dc', 'bf26b60d1088ff4c', 'e47205222b26ec62', '37ed52f3a6fda53f']; context = [[64, 117], [28, 80], [48, 105], [0, 34], [210, 248], [38, 91], [18, 57], [38, 88], [16, 68], [60, 116], [19, 57], [14, 66], [7, 63], [27, 81], [95, 151], [133, 173]]; loss = 0.050556 low_pass_filter = 0.300
+Epoch 0: | | 18529/? [2:56:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 18530; scene = ['e3f35d03c1b316a8', '59689345260b0920', '4856e6d863a32e60', 'ede1a18c89abe3dd', '47ad84524200655f', '4fd9d45647d536e5', '43b9a1cebcee9f70', '2a3e630ec3bdb846', '998802a48c76fd37', '7f19946005cbe8f0', '8fe5fd9e06ca3c9e', '82513f328f3249f6', 'e8f4103470bffeec', 'be78b445daa29b6b', 'a74f43b16ad90fbf', '253ad0422954892f']; context = [[0, 49], [12, 54], [138, 174], [20, 66], [52, 95], [35, 79], [85, 120], [50, 89], [44, 93], [30, 69], [14, 58], [4, 49], [23, 79], [28, 83], [73, 127], [1, 38]]; loss = 0.028588 low_pass_filter = 0.300
+Epoch 0: | | 18539/? [2:56:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 18540; scene = ['3d1fcbb234f1fb6b', '6baec9484ce06cec', '96c727dbddb745a3', '9a946a8ebf61333e', '36ba861c69c13e95', 'a327313124fbe104', '0708442894bdf82b', '1b044b8921702a81', 'a9662f57d649f1ad', '0a1aa875aca3711d', 'ded38d3ae876e8dc', 'bcffeca308e9651c', '861453c483faf282', 'aa416065dac5210f', '55f2830fc736529d', '8868de3626699c63']; context = [[48, 85], [88, 141], [1, 39], [43, 77], [60, 104], [93, 127], [8, 57], [133, 187], [4, 43], [4, 47], [0, 41], [32, 75], [152, 187], [0, 39], [6, 63], [2, 47]]; loss = 0.027889 low_pass_filter = 0.300
+Epoch 0: | | 18549/? [2:56:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 18550; scene = ['454c2d4b8699258d', '393f1427397745fc', '20023bc0d2cd36fc', '43ae1f4abe3cff11', '622933ea3b4974cb', '3eae752079cfc922', 'eefaa32af71b9eb1', '6782305975ac43cd', '8a9d96296fcf5b3b', '07d82757b10cf708', 'eeefb966e37e23e5', '7915a880baeb4ee2', 'f22824c5468fb8c3', 'b52ac8e1e536022e', '5fd925386deb1ba8', '6b76cc89f4505af8']; context = [[4, 39], [16, 69], [204, 254], [47, 100], [147, 201], [45, 97], [4, 58], [48, 94], [6, 45], [183, 220], [15, 50], [75, 124], [182, 232], [102, 138], [87, 130], [4, 48]]; loss = 0.031474 low_pass_filter = 0.300
+Epoch 0: | | 18559/? [2:56:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 18560; scene = ['89f25b63cce19665', 'd490835a644851f6', 'f14b4f2c965bf299', '1d1753bbd2cfdeab', '43b71e076982a21b', '2ffd5c936053835b', '2a1c0e06ea2cc146', 'b1ade16c01675828', '20538de137dec3a0', '24f5ad9c96469938', '096e540f66383e76', 'c102e9397a7598c5', 'faa09c4a4bb3844c', 'f4b7929261ffdccc', '5817c488b6a26b87', 'a3302f8344181353']; context = [[2, 52], [1, 51], [9, 50], [0, 56], [9, 46], [190, 242], [50, 93], [59, 99], [67, 116], [34, 72], [70, 115], [14, 52], [69, 109], [80, 121], [4, 59], [33, 88]]; loss = 0.033518 low_pass_filter = 0.300
+Epoch 0: | | 18569/? [2:56:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 18570; scene = ['eef123055b3c48f5', 'fdea0d77c74e62d8', '85b05ef7f035952e', '85552d4e56a4cbd7', '30539ec9b6f71b8b', '9cb37538aec83519', '2eeea27132d05c5c', 'f9f8caf1945fbe10', 'bfef10a1c5d073dc', 'ed5a6d44ac2dbbfe', '2c9be8b92a168541', 'e6356f4b96ded8a8', 'cd67983669a4a017', '0d98f880b82f6094', 'c38c9d83c7aa6296', 'af65d45e8c4ec7c9']; context = [[149, 189], [106, 159], [102, 143], [19, 76], [11, 46], [0, 52], [34, 71], [33, 69], [207, 241], [39, 94], [78, 135], [103, 155], [57, 107], [3, 45], [3, 48], [49, 95]]; loss = 0.027253 low_pass_filter = 0.300
+Epoch 0: | | 18579/? [2:56:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 18580; scene = ['e83e99bb33c1a3e2', 'c94d226b402bb584', 'a00f87e22e7a7e17', 'ce0161965212721f', '9db7b3ce6f093bfb', 'c7a6ccb56cf0220f', 'b5ef6bcc9a651474', 'ea3607afb2302a82', '1b291c84c14124c4', '8c8fd141c75ec5dc', '467a06de20ed1d5b', 'ab5746b36d0c079c', 'febb54850e20be98', 'cf2badfcc6029738', 'b9496e79c092db77', '49ab4dfaac816611']; context = [[72, 122], [13, 61], [2, 49], [38, 78], [24, 74], [5, 51], [31, 84], [72, 116], [65, 110], [70, 122], [54, 104], [6, 61], [90, 124], [72, 112], [49, 86], [50, 86]]; loss = 0.029975 low_pass_filter = 0.300
+Epoch 0: | | 18589/? [2:56:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 18590; scene = ['b4a067f6bed5167b', 'ff37eb9337254992', 'cbeae4190b62a213', 'ee3e327301f538d8', '965dc73b4eccdaa6', '7b06fe1270f6e417', 'e259e333d962215d', 'a9830a531549bcc6', 'a945e873145d0009', '5f87465e4c3f3cb1', '707f269a33776969', 'cc98f68f9382345d', '07a0e90120a50d16', '7c7532f300d608c1', '265602128d5ab400', '1e9dc61349d8a0bd']; context = [[5, 40], [19, 64], [16, 58], [9, 58], [11, 52], [76, 110], [19, 67], [38, 75], [4, 43], [51, 101], [27, 78], [49, 85], [16, 71], [138, 179], [20, 74], [79, 133]]; loss = 0.027691 low_pass_filter = 0.300
+Epoch 0: | | 18599/? [2:56:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000train step 18600; scene = ['5c39bfba4de634f7', '128cd2b08433b12d', '4d4a729c442fb2c7', '41f17515470e2c69', '4e6f320e7881750e', '5557b9f1f838dfb4', 'e34b20228349d7d3', '8c4e4bca9b1d35e4', '31bd6ed47b560fb2', '29452b3952fe9c2c', 'df4cccc8b0781eb4', 'e8e63428804a5980', '51cf388a4d04e4e3', '6f87ded85440c7ff', 'e5da20a2c416b72c', 'd113b8357fa64b66']; context = [[74, 108], [0, 55], [29, 73], [37, 93], [52, 90], [54, 104], [5, 49], [50, 103], [16, 54], [9, 60], [11, 59], [44, 92], [22, 64], [42, 97], [93, 129], [8, 52]]; loss = 0.027694 low_pass_filter = 0.300
+Epoch 0: | | 18609/? [2:56:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 18610; scene = ['4753c4d248eb1910', 'b3de3aed8c4939b1', '78951deaf8c67b08', '3875459f2c397848', '0d897a5cbb2b8b50', '80b6fa3cb7a7a6d0', 'b7313e349b510acb', '06e9f26b5f803220', '072ace91e2fef373', '270ec2d099edfccd', 'b0139ba67c176260', '9af39f3dadb1471e', '1b2e793d39caec3f', '5a38b8d664c399f4', '9244ece752e135b3', '69029690713e2555']; context = [[33, 71], [92, 141], [5, 53], [198, 240], [164, 212], [76, 114], [32, 82], [129, 171], [8, 59], [199, 254], [218, 275], [3, 53], [51, 94], [5, 59], [2, 57], [95, 142]]; loss = 0.027250 low_pass_filter = 0.300
+Epoch 0: | | 18619/? [2:56:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 18620; scene = ['22e44c9efb4ac335', 'fb215dfa4249d979', 'f272bac50c6f6f32', '4d7eadc5b342a7c3', 'acd2ed932e21f625', '864148d49cf777cb', '60d80d50cc0bce1b', '2c4ec7127111bce1', 'f5a4588213a5cdfa', 'd8a5d7ed2df85474', '3ad4ea23277b8a65', '9ac7bed7b0a8b61a', '709108b3b7921a59', '97f13942e301b11a', 'd7e621e3e3fdcdcc', '839847f78aa7b6b5']; context = [[6, 40], [56, 104], [20, 61], [70, 125], [14, 56], [191, 247], [1, 55], [16, 72], [19, 62], [93, 133], [62, 101], [78, 116], [127, 180], [21, 66], [36, 71], [100, 142]]; loss = 0.028987 low_pass_filter = 0.300
+Epoch 0: | | 18629/? [2:57:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 18630; scene = ['ad9a0c2b517fc375', 'c5edd6cf1dbadb8a', 'bf1277b28c1894f8', 'd2dc639bcb77797f', 'f6383d62f2df75bc', '234aa55514e0ec70', '6a1549e061340f9c', '9f5aa847faee27b4', '2e1fb15b53a835ff', '6718140431816c04', '5b3d6bba4d1b3484', 'e1d9afaa8899ee32', '1997801bd183ce5e', '22930dc0f3c405c3', '7845e909a272d49d', 'c2bbcacaa79d985a']; context = [[39, 83], [95, 134], [125, 166], [10, 47], [106, 154], [11, 49], [1, 51], [23, 70], [25, 80], [8, 49], [28, 79], [164, 203], [78, 114], [3, 48], [57, 114], [6, 50]]; loss = 0.029172 low_pass_filter = 0.300
+Epoch 0: | | 18639/? [2:57:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 18640; scene = ['d22fdf936632d63a', '32bd3322556bc88d', 'f29893ce84058edd', '563a138b2acdd919', '503baef644d73490', '6ebc5808aaad5f68', '536379d000ca3575', 'd5141a8a894cc724', 'b35d6c45f0b190a9', '3e80eae957a9fa4e', '3b348c5244a57b53', '93f7d68e72ad5f83', 'fb8928d05f46e7e2', 'acd293363db06c1c', '32595088703a7895', '4f3b786e5b6c7068']; context = [[60, 113], [34, 81], [5, 58], [70, 120], [42, 94], [63, 101], [4, 59], [0, 41], [204, 254], [101, 147], [12, 47], [17, 71], [3, 40], [19, 54], [17, 71], [8, 65]]; loss = 0.023821 low_pass_filter = 0.300
+Epoch 0: | | 18649/? [2:57:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 18650; scene = ['af4c3213f2d7c811', 'a1abef854099368f', '46e0b48bd2e4a857', '2184b89353ea3527', '93029cc15cfc08dd', '326dd7b41ce515ac', '3966776b9405bb07', '97c5d79bc0c119e7', '8f242b96af5a7005', 'c6066f922a2b4fe0', 'd0e565ee49890e94', '56361ac6c313a5f8', '3231aca99e0a8889', 'fcdc78b1c1978874', '303910b1146da10a', '7ab87cae327184c3']; context = [[0, 45], [17, 72], [29, 68], [129, 165], [19, 75], [24, 80], [21, 60], [34, 85], [35, 78], [43, 94], [66, 122], [40, 86], [1, 42], [15, 67], [17, 65], [133, 171]]; loss = 0.024242 low_pass_filter = 0.300
+Epoch 0: | | 18659/? [2:57:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 18660; scene = ['5893ecb5ca418955', '99ad6a316ad09fcd', '0ab2ee95193dca6d', 'b6505a16a99fc05d', '146f7025acd4ae32', '559d1c71c237ed63', '3722e45b5966fc7f', 'dbfa4a019a577df0', '763d75d516920a3f', '2a969cee05781858', '533d7e15bdc275ad', '26e48cac44f92e26', '596bf8d5e28efd1d', '57abed33a7c3652c', '0246dfe96b27b4ce', '66f718b2953961d4']; context = [[1, 37], [54, 109], [63, 118], [84, 128], [49, 97], [100, 137], [2, 38], [222, 263], [28, 79], [63, 120], [16, 50], [76, 116], [121, 175], [26, 78], [79, 127], [38, 81]]; loss = 0.026941 low_pass_filter = 0.300
+Epoch 0: | | 18669/? [2:57:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 18670; scene = ['533cb55bb055a091', '30e7593c9da6a201', 'db7ac6d0820ca218', '3c7bdc5004a3140f', 'f5d3c55f34f74cec', '13b6710151705fe7', '87732cfa339b6202', '6555e9ac69dc14bf', '337dc31602bf2187', '39c33991bfff3e83', '2c4748f991f7d71b', '2cca4a4cbf45c0d0', 'a29077306f6f735b', 'c11e45b1b76d8117', 'a91d501f33a28dc7', '08a75a450ebd71fe']; context = [[28, 67], [194, 238], [15, 62], [121, 171], [121, 160], [16, 70], [10, 49], [0, 40], [34, 71], [79, 117], [2, 48], [58, 98], [36, 92], [6, 45], [3, 51], [38, 86]]; loss = 0.029329 low_pass_filter = 0.300
+Epoch 0: | | 18679/? [2:57:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 18680; scene = ['b2b54a7a6fe8ec22', 'a16d169ffb5bbf5f', '122403c4c6d5ba14', '988e8a280bf6a10e', 'cd61a765852c64c7', '9fea8e828b80af94', '4c5a010abf0bd853', '3905d70e14fda600', 'c4dd0b797b092d01', '8b1412223dba89db', '0919ccc8b33d5b77', '0d1fb256418933db', 'f2a19131a3c32a3f', '4045105d45800f31', '64fb5fa896883491', 'c411d27c23509ccb']; context = [[95, 145], [1, 43], [48, 84], [32, 79], [1, 42], [3, 41], [33, 68], [39, 87], [1, 35], [13, 59], [13, 54], [7, 46], [23, 70], [100, 154], [211, 251], [183, 231]]; loss = 0.025597 low_pass_filter = 0.300
+Epoch 0: | | 18689/? [2:57:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 18690; scene = ['07278d9d2d1e4e6f', '7333fdac494062ee', '556b51f205dbeb4d', 'fa0bb765def0d6a4', 'd930506037303408', 'faed478a912295c6', '480b1c7377b6afc7', '1bddde4479ab73a4', '02330ef21f8c63c3', 'e12d5da93d04e783', '6f243f8b830ae9e0', '6aeccf0208405dbb', '998a4ed8ac2c2d2e', '73571aa48e313ef4', 'd04cae6241ffe366', 'edebf34f112ff3cd']; context = [[167, 216], [197, 240], [31, 78], [42, 96], [185, 233], [2, 37], [24, 58], [2, 37], [0, 36], [8, 44], [34, 82], [166, 218], [94, 135], [11, 59], [0, 40], [4, 38]]; loss = 0.026977 low_pass_filter = 0.300
+Epoch 0: | | 18699/? [2:57:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 18700; scene = ['d5933e65e109bd10', '3c574f60fb9adfc7', '11e3c17da5109ffa', 'b5563df07a94318a', '816849c78197db5c', '790b6b3eb50cfbbb', '6c53ade4ba338955', '170e14dfe6029879', 'e78a9b4f74b7295c', '71a822c7743af7a7', '285889f46472d93b', '27707265ec825ba7', '892d9fadbaba9e08', '7e8c9830537de3fb', '32b8efd8ec5394cc', '59ae4ac63c0a11df']; context = [[65, 112], [48, 88], [10, 58], [86, 139], [39, 87], [9, 50], [34, 89], [78, 123], [0, 37], [155, 198], [156, 209], [44, 79], [77, 124], [52, 101], [39, 80], [8, 62]]; loss = 0.029820 low_pass_filter = 0.300
+Epoch 0: | | 18709/? [2:57:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 18710; scene = ['f2814d17062330d1', 'ab0812b2cc5e1172', 'bbc09418541d0ccb', 'b558921c63e1d156', 'da458b177cc5b2a0', '9aacdb837e01170f', 'c328420e636ab533', 'ddc63ec58c1b4023', '245fe1bbfb48afb4', '93bb1804c5dd9ac1', '912a0d7b5b080610', 'c97e8fc87ec7a723', '4de563b16b260d04', '5cd58761e82c1935', '6a5b0451e24d2289', '74085cc8a41ed0fa']; context = [[17, 69], [61, 116], [89, 132], [39, 96], [0, 51], [160, 205], [7, 52], [69, 111], [10, 60], [73, 121], [196, 233], [156, 192], [51, 103], [153, 188], [3, 40], [44, 80]]; loss = 0.028038 low_pass_filter = 0.300
+Epoch 0: | | 18719/? [2:57:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 18720; scene = ['b7c84c58e489931b', 'cb75c5597898298f', '1c9daf62dfa3d5d1', '9a62cfd89a0167d2', '9c354eaeb1030715', 'c9414cea2b26c0d4', 'd9f9a63996457e23', '97f589998f7a56ce', '263c6f3caec45900', '1155d2e97e08de55', '331112aba367bf0d', 'e2b6581f1a1a2fcb', 'a43b3a139f3046f6', '54d7ae4d256f9bb3', 'a9a97381f3c0d9a1', '4ef1dc6966082c8b']; context = [[4, 43], [5, 50], [37, 90], [10, 49], [0, 49], [63, 97], [155, 192], [38, 90], [12, 67], [34, 87], [15, 63], [77, 112], [88, 134], [30, 85], [47, 101], [9, 65]]; loss = 0.038268 low_pass_filter = 0.300
+Epoch 0: | | 18729/? [2:58:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 18730; scene = ['4b15db7b359a0492', 'a1d8379126418c67', '509ba1d49682702b', 'ebb2ee0fdf9adb4f', '629c6f1eb4c7af9a', '4ed0cf754fc4454b', 'a6ec4571131be6da', '89f434159557854d', '478531030bb5fe18', '4c9b371e4c24c2f3', 'e528d17adef1f1bc', '223e2c052f914311', '4bb48481c6ccd349', 'dd218ccc3cf0dab6', '9def8f9d20be5ecc', '30d52bc66d89221d']; context = [[5, 49], [0, 44], [18, 66], [6, 57], [30, 74], [31, 78], [90, 129], [37, 87], [3, 39], [39, 73], [21, 60], [16, 61], [153, 198], [2, 48], [152, 193], [24, 58]]; loss = 0.025257 low_pass_filter = 0.300
+Epoch 0: | | 18739/? [2:58:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 18740; scene = ['9b23277971f37b17', '805bf33fcc837bbe', 'e094ca6cc9b87c2f', '9ef218fc0b3aec1d', 'b19df5f2fd690927', 'f56d4aa7031f63d4', '2666f4d45ee85413', '65704a3be6ef97b0', 'c150a69d763e0fd2', 'bae0c4a08568d412', '35cb6d1706d23123', '9e6b1fc2cb9e258e', '4619634afa74b44a', '55f83ad68913a83f', 'b266ab1fc79a6d4c', 'a9adef412237b777']; context = [[8, 52], [40, 78], [20, 59], [1, 46], [61, 109], [179, 232], [6, 52], [91, 138], [41, 88], [3, 57], [34, 68], [21, 76], [36, 70], [28, 64], [70, 122], [102, 143]]; loss = 0.027943 low_pass_filter = 0.300
+Epoch 0: | | 18749/? [2:58:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 18750; scene = ['9bd2946da7cce42f', '664ad76c825a89a4', '6800182ce64325f0', '519e791a79112caa', 'c7c3770350b9d958', 'b1c505350a76d200', '0f1770edc4686804', '661c9d87c961a0e3', 'a63d62889d484710', '991c5dfac79eb3d0', '40a0bf3a97cfba26', '857a4375e61eae2d', 'a4c9b658859a2f87', '567dd54bdd18b242', 'ba6042a79f3c0863', '474cebeebf252579']; context = [[41, 91], [1, 40], [65, 110], [14, 53], [76, 122], [10, 50], [1, 47], [5, 61], [28, 71], [17, 54], [22, 73], [19, 66], [34, 72], [20, 55], [74, 123], [101, 157]]; loss = 0.025854 low_pass_filter = 0.300
+Epoch 0: | | 18759/? [2:58:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 18760; scene = ['cb171c3ee0bb4bc7', '6f8d38fe084f7ad5', '70d878da47f984e4', 'f7d03afe37f724d3', '632fdd68fcdced28', '23e164d4f8460f5b', '2636e6766e692274', '56d65d47fd196d68', '4700b4a628c6131b', '8db206b0faa1b032', '4fd26cdcd92cc984', '3b4f5b58eaa9e909', 'b7cc7c503b10b878', '93fac9602a1702de', '45677926c908e6e5', '5b511f6b48cdb84c']; context = [[12, 52], [0, 46], [47, 88], [0, 54], [7, 63], [96, 141], [10, 60], [39, 80], [42, 91], [17, 57], [13, 70], [11, 52], [13, 57], [69, 124], [39, 75], [21, 70]]; loss = 0.028878 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 18769/? [2:58:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 18770; scene = ['a842f67726ffd425', '6c1c5a9b3c6db4a3', 'fd0709b44a1b7aef', 'a7920603008060b1', 'e24da62a15bd2109', '48617a7574be5d9f', '93540f32961cf023', '2263c3402becad0f', '5a33541a88681586', '80fb3505008bcb5f', '88567449a04bdf82', 'c8fc5e09878d465d', '67c71d67cd66dbc2', 'e83729b641130714', 'f967408af665942d', 'd4dd072c78e9f960']; context = [[17, 69], [19, 61], [43, 88], [24, 67], [13, 62], [3, 52], [2, 53], [13, 69], [58, 110], [15, 64], [113, 154], [122, 169], [39, 84], [22, 57], [28, 75], [220, 272]]; loss = 0.026130 low_pass_filter = 0.300
+Epoch 0: | | 18779/? [2:58:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 18780; scene = ['911098f20e602003', '98585b958fdbf74a', '6d4b0a0b9d2edc40', '4ca2857fe858b81f', 'a6cfed3142195b52', '3c96b594dee5a035', 'b90177a3e1663c39', 'be52e70932f6dcdc', '1132a0c28fe8748c', '3c8f85253323337e', '41f0974fd32ee0f6', '272cc6bef39a7a8b', '4358da4c0ee3c011', '17a44329e92629ae', '65c849d84d894291', '34c07d79a9633748']; context = [[21, 62], [1, 53], [69, 122], [18, 57], [64, 107], [86, 143], [22, 70], [61, 97], [210, 251], [83, 125], [30, 78], [38, 92], [0, 49], [53, 91], [14, 70], [9, 57]]; loss = 0.031735 low_pass_filter = 0.300
+Epoch 0: | | 18789/? [2:58:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 18790; scene = ['b5af5097b8dcc2ad', '18f8fd3136058ed7', '70e481732168c917', '869ab3af4fd90d3f', '1c23d32dd0f64dad', 'fa56d1dc39d8ea78', '6f948a4959c98bed', '660e0b0fa857b7e8', '64400d6b30972461', '1f9ce370806c2704', '6a8096005ddc4f82', 'd5d5a1e1db7e243e', '864f419062ce6d13', 'e253357e3dc7986f', '30ff59fc98384f54', '985af15298bdcea5']; context = [[36, 86], [15, 72], [0, 45], [10, 62], [85, 135], [20, 72], [204, 246], [29, 77], [12, 61], [13, 67], [77, 118], [56, 104], [53, 107], [21, 66], [32, 81], [36, 86]]; loss = 0.027440 low_pass_filter = 0.300
+Epoch 0: | | 18799/? [2:58:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 18800; scene = ['3cc70ffcb154073d', '1ea909d3ecc032c8', 'f1b69c5347f6ef52', '7fc86aebaeb488c0', '9be866e749e9cff2', '514fd65dbd2950ad', 'ded16f5146ce93ad', '4c2acc1d87aaea1d', '03fc0d09c4c9abd0', '6786a3256e6e2f5b', '65ccf58cb9e06520', 'fd5a7805e36ac44b', '5e1cbaf7f2008ed2', '3b08a677fef2dcd1', 'ef734d49bb73abaf', '6a0bc4161911b7b6']; context = [[36, 78], [79, 116], [6, 55], [24, 64], [5, 46], [73, 111], [43, 95], [51, 91], [197, 245], [19, 62], [2, 55], [80, 132], [28, 83], [3, 50], [129, 167], [33, 69]]; loss = 0.027730 low_pass_filter = 0.300
+Epoch 0: | | 18809/? [2:58:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 18810; scene = ['809ca67ce740d82e', '454721c5dcd24e79', '789a1b00d73a2072', '8c3f358e0091f076', '7f96d028faa56c8e', '952266003cf8ccc1', '77c1ef193baf0a80', '98dff81cfdcbd690', '19bbea9cd53e2900', '7d66e3d9672f8327', 'b3bdd93444967e32', 'b94d375ab2d2cc1d', '9aa8bb12a358a321', 'f8de6ddeeee4a948', '9097cefe0e10cd03', 'af5e13b8a6fed863']; context = [[8, 44], [40, 82], [11, 47], [37, 73], [0, 39], [50, 106], [15, 51], [2, 44], [104, 157], [56, 111], [3, 56], [4, 41], [44, 97], [64, 110], [9, 63], [0, 57]]; loss = 0.032132 low_pass_filter = 0.300
+Epoch 0: | | 18819/? [2:58:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 18820; scene = ['c35e6d31102cafa7', 'ad57c5b97bb58429', '98c1218a2309b4a1', '15b72df6330ff79c', '19fd79880f502246', '091e13eaeab8d3ee', 'a1be7f06fef9077a', '397e1fcec212c272', 'f6db03fcdbf3253b', '029fba664425823a', '1bd25e4dbf83be6e', '8c4f32d2e7f0a04f', '3a6d9b82bc1e1811', '48ce4a20c406c0fd', '249ee6d00a7493be', 'b29d9ccc5a360755']; context = [[64, 102], [2, 55], [21, 66], [24, 64], [8, 49], [37, 88], [154, 196], [16, 69], [28, 77], [2, 37], [33, 90], [114, 158], [16, 59], [100, 152], [3, 60], [148, 185]]; loss = 0.032983 low_pass_filter = 0.300
+Epoch 0: | | 18829/? [2:59:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 18830; scene = ['3afec4710e95e6db', '366116fb5e37ca12', '9ae904981efc4ab1', '05578300751eb070', '482c01e057fdec27', '41f5163f4425f3f0', 'af38698d94964599', '0c1a54f8512a22a9', '171c2d3ae7b5b880', '99d123b0284ba78b', 'cdcfaffb36bd68cd', 'ddb24003ba549794', 'f1784bd29f4251c2', '8c96adc08ff4d80c', '3eecbfde33a5d536', '21270b591ffb942b']; context = [[187, 234], [50, 88], [21, 77], [8, 65], [61, 109], [98, 138], [1, 46], [43, 84], [17, 72], [11, 51], [103, 139], [89, 139], [57, 99], [76, 127], [0, 52], [35, 79]]; loss = 0.025702 low_pass_filter = 0.300
+Epoch 0: | | 18839/? [2:59:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 18840; scene = ['e456fc623facc848', 'f83ed991c4d270c8', '54ae80e682751efa', '5b7c70d9fd79a963', '0f710827f72bbd64', '4e9a57b7b6251f7d', '88138218ce0d9815', 'e726107dc0960b84', '54b364a3d8983e86', 'e5fcf91861976c52', '9b3cfe046be3e8ee', '93e073dacd2fb8fa', '8be7e7072ded8bf1', '7b2b4c31dc0a98dd', '6fd2936069711506', '5124f62ded6ed532']; context = [[81, 125], [14, 53], [1, 36], [62, 105], [55, 105], [3, 48], [7, 52], [59, 104], [123, 172], [81, 133], [28, 67], [97, 135], [49, 101], [52, 94], [190, 230], [88, 145]]; loss = 0.031969 low_pass_filter = 0.300
+Epoch 0: | | 18849/? [2:59:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 18850; scene = ['90cd35aca00fdde3', 'aa2175c8bffe8ad9', '32fa2f64dfaacf21', '4ee78f549f4bddfe', 'a098e1d5715a4f8e', '7fd40cef6afc5ad7', 'd1d992e581136ac6', 'a3dee13fa0216d57', '5c9b898102b16eae', '3d7a200dab472990', 'aac146b12e5f2ebf', '3b8cbc82edc7da25', '784a09499e4f5d80', 'eee22c9d84b79d89', '4c912bfd124f027a', 'af1aad7fedbf1fc7']; context = [[211, 253], [203, 240], [142, 183], [163, 216], [0, 42], [8, 51], [7, 58], [55, 102], [146, 200], [17, 70], [119, 170], [2, 53], [10, 50], [24, 73], [4, 47], [45, 97]]; loss = 0.028654 low_pass_filter = 0.300
+Epoch 0: | | 18859/? [2:59:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 18860; scene = ['e0dedfef240d5a0a', '1147193d876fe2f1', '545615147f827b53', 'be54fc40be5d60ac', '9b71f9e957de57b0', 'b2437a7fc427a9db', 'ff98884b734b36c6', '586234d6b5d89587', 'aed888dc2662bd97', '56138a61f7bdc811', 'f3a8e09cfca7f302', '177e6cbad1a5d389', '8df6d17e6dd57222', '5ba98d5108e42ace', '10305cbdad5cb899', '3d4fa53a2c7691f7']; context = [[120, 158], [13, 48], [70, 123], [132, 188], [5, 59], [83, 129], [142, 190], [85, 131], [192, 242], [5, 61], [32, 67], [27, 74], [54, 96], [75, 129], [96, 145], [71, 128]]; loss = 0.029692 low_pass_filter = 0.300
+Epoch 0: | | 18869/? [2:59:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 18870; scene = ['ad406792c81d375c', 'bfeeb22f7c5b88f8', 'f338341d83d9f67d', 'e44fa4f35c34ade1', '247e93105d7af392', '0f1e5508860711a6', 'd2eb4e2748a5dd2f', '28a665f16aeec79c', '96daab69b9b19e41', '46a1a98e6bf8d839', '5379f7a06f13000a', '58c38e072fa97b1f', '3cfe932b6c657e6e', 'b990cf050c5bbac0', 'cab39c57f4fb83d1', '92fc9155096037b5']; context = [[2, 53], [0, 35], [30, 85], [87, 133], [216, 255], [9, 51], [123, 159], [11, 66], [1, 57], [8, 44], [3, 56], [56, 99], [23, 62], [54, 91], [56, 108], [4, 60]]; loss = 0.030139 low_pass_filter = 0.300
+Epoch 0: | | 18879/? [2:59:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 18880; scene = ['786d7805ee6f3ad4', 'a8013f840680bad5', '9b07d9e9bfde2127', 'c79fe61f55945277', '994090734564320b', 'a2272a447c64f48b', 'efb0fa43f36306e9', 'a76ec83c9984d4cd', '3fc64e6105d7a224', '35c88d10a4ef8a95', '25aff15f6c54558b', '11c4a7d67bc2629e', 'bad5f833677cd32f', '6d9c946f68b0f8a8', '70fa77c74fad4d72', '276fd3e9d7168662']; context = [[143, 200], [44, 96], [1, 52], [17, 61], [76, 128], [207, 248], [80, 136], [32, 76], [117, 174], [63, 100], [125, 166], [1, 41], [11, 63], [86, 130], [25, 61], [30, 78]]; loss = 0.032197 low_pass_filter = 0.300
+Epoch 0: | | 18889/? [2:59:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 18890; scene = ['c6dd634f18d3ad0c', '5ab0e29d67fadaf2', '0ab1a55e644c522c', '32975f7fa4ec8e80', '51cea299a0fa2ead', '7a244e6ffc814898', '0ec72b6e6953a36f', '6abe78a35109d3c1', '3e00e3d2ffba3e7d', '95702bb71674167d', 'a09f861cea263471', '2ea0130696f289c2', '78ac0510f29dcc4f', '887a074e81e590c3', '063cf0cd1ebf06d2', '3d035b165731fa4b']; context = [[114, 163], [60, 95], [13, 50], [56, 101], [89, 145], [83, 130], [44, 99], [28, 84], [179, 221], [77, 118], [67, 122], [27, 72], [1, 41], [68, 112], [72, 109], [70, 118]]; loss = 0.027147 low_pass_filter = 0.300
+Epoch 0: | | 18899/? [2:59:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 18900; scene = ['c6f1488495990249', '886a2cd1ef72b491', '1d93a3fb8b07028b', '6ac77903c85a136d', 'd0342267434bde9b', '5dbe8c5a7cd369f3', 'e6406106735f8b34', '12108a3fd93471fb', '6080fc9345448eec', '5a1ccf5da976f592', 'fbc4bbe6225528ec', '0856eb1e161c6cb8', '39ee4bf580cf2bbe', '61327b567aa8d6f6', '564120457bfd06e1', '0224ae3b7123367e']; context = [[94, 135], [207, 255], [32, 71], [9, 62], [29, 74], [59, 100], [6, 47], [13, 52], [32, 71], [3, 52], [108, 143], [1, 49], [99, 140], [65, 112], [17, 58], [183, 220]]; loss = 0.023599 low_pass_filter = 0.300
+Epoch 0: | | 18909/? [2:59:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 18910; scene = ['7da62d40202eb4d7', 'c2c69f132eaf226b', 'c8af89fa161452c0', '39953b7377e8fbc6', '30a815b0b47e8a6d', '6948d440d6aae7d0', '7d08a5d6a3217be2', 'cf83070a1af0286e', '8f937b1a518a93b5', 'b6b44c750caa7b99', '78bd68b7e842129c', '9506a622c097b935', '8bb420e8096b7f62', 'ed4eef359d0fbd35', '6f4556580ebf03b3', '21f64bf7602a82bc']; context = [[2, 39], [29, 74], [13, 50], [30, 85], [190, 246], [113, 161], [62, 103], [48, 83], [40, 77], [37, 89], [20, 66], [10, 65], [61, 101], [56, 105], [11, 61], [190, 226]]; loss = 0.029519 low_pass_filter = 0.300
+Epoch 0: | | 18919/? [2:59:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 18920; scene = ['a31787ba3f42448b', '529d61d09bec94a1', '2b30bf3c9c26f7f3', 'c778cdae47e2ff13', 'd923a931e8582c3f', 'b3d43f18a8fdc262', '1c545caf1931d773', 'a7fcd0af8ef3781d', '1ff0ff0f71d8c35f', '070a222242536f42', 'b7e45d8a8f953221', '0586a78aa1664230', 'e7e959f34eb098fe', '2ebd96001679704e', '6ca4270fc9377c9a', 'f760b9c83e882756']; context = [[1, 40], [71, 114], [220, 277], [0, 39], [6, 56], [46, 85], [29, 67], [27, 74], [67, 107], [33, 73], [17, 58], [13, 56], [10, 52], [36, 90], [10, 66], [9, 49]]; loss = 0.027831 low_pass_filter = 0.300
+Epoch 0: | | 18929/? [3:00:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 18930; scene = ['5689c9983b642392', 'fbd2c20f5033d7d8', '7a40c2ec4e36880e', '274279bd6f815607', '48c9bb29482ddf76', '4ca457ca633e17e3', 'aeb0a9a7ae4b838b', '11a0178831a2ae2c', 'd289541809be1924', 'face86bf6353a397', 'f61b6261a949358f', 'a60e4127f167ac93', '593dfdee6abc704c', '95522bc4e658c4bb', '4c6b267e4c124540', '7b4630c7ece2e8ab']; context = [[141, 194], [3, 50], [38, 75], [16, 69], [12, 69], [23, 64], [8, 53], [37, 76], [31, 80], [65, 108], [87, 127], [35, 91], [9, 49], [26, 82], [73, 109], [103, 148]]; loss = 0.022775 low_pass_filter = 0.300
+Epoch 0: | | 18939/? [3:00:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 18940; scene = ['20be925d6218469c', '354890507ba3db0c', '862803842080a2a2', '96a219295fb4e5ae', 'f31ae2c92baae819', '540e129da5eb9bee', '3509034cc125d7ef', '5f45009e253dee25', '18266599ae0f9451', '5c897627e7315321', '86910ce80efddc7c', '84387f9cdb2f58e9', 'ea52d60b5bdd8bdd', 'b0e2bc7d90dacd8a', 'a5daf8a4e91768c9', '7d581977d99bd0c5']; context = [[10, 61], [48, 86], [63, 108], [192, 231], [3, 56], [131, 168], [0, 43], [14, 67], [56, 94], [178, 214], [4, 45], [8, 54], [10, 67], [6, 57], [7, 44], [60, 95]]; loss = 0.028728 low_pass_filter = 0.300
+Epoch 0: | | 18949/? [3:00:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 18950; scene = ['9fa01b48b2ea9d28', 'ddfeaa4d724893eb', 'e21a16028be3075e', '982bf8fc32aaa3f0', 'b7de31891b5d6984', 'ffd3128005af32a5', '2a90bb463e0dda39', '3578ecf719b3990f', 'a66d7d1c96e2966b', 'd4fda198b00995a5', 'c89d788ac6c7e955', '468a9aad34ae4f6b', '3533e8353a4037a6', '277d14a59f3928dd', '1f5704bf23ed3e6b', '893ee7f0458c8d38']; context = [[34, 90], [11, 48], [106, 153], [89, 124], [16, 73], [137, 185], [1, 42], [69, 104], [43, 88], [13, 57], [43, 96], [12, 62], [15, 70], [31, 77], [76, 111], [38, 74]]; loss = 0.029319 low_pass_filter = 0.300
+Epoch 0: | | 18959/? [3:00:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 18960; scene = ['cfda25f825c0e037', '9d28e040fb4102b7', '0abc1a3b9c31f452', 'c57b526f18f6105e', '7ecf5dab221fb781', '02b97fbf802a5e63', 'eb0e53623cc88755', '65aa0f2e84478362', '64c1a413b76574a7', '5a261eb9162232e4', '8f05210509599df8', 'ece3d30bd2dc2a4a', '6a12762f4fa26a40', 'b4da38076c68ce1e', 'adb55683c23edf40', '79f526b49d544ba7']; context = [[49, 101], [54, 102], [24, 65], [50, 86], [16, 60], [7, 43], [85, 124], [24, 66], [18, 69], [32, 69], [44, 80], [5, 59], [5, 62], [4, 51], [10, 60], [1, 51]]; loss = 0.030899 low_pass_filter = 0.300
+Epoch 0: | | 18969/? [3:00:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 18970; scene = ['9be2acc7d6ac0fa6', 'ac8de8815ae8902f', 'dced37867a7d4013', '28bfe85ca61fb024', 'c7c758e7c2bae0e8', '89eecc00bad5387b', '95c9649aee2bd604', '1972ae458fff96cd', 'aa34e1527f657bc3', '9e571866a0cef259', 'e191345e92779373', 'e35670a6acfc1647', 'f985a4f8569174d5', '37a7753e88bcac83', '20b3c25971c8e721', 'e36270f862bf878c']; context = [[26, 71], [4, 44], [58, 93], [116, 156], [16, 61], [18, 54], [213, 259], [11, 58], [161, 209], [105, 149], [24, 63], [99, 136], [166, 215], [53, 99], [29, 67], [10, 66]]; loss = 0.025212 low_pass_filter = 0.300
+Epoch 0: | | 18979/? [3:00:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 18980; scene = ['d61c0c4ab6c707b1', '1e7a40e218244c8e', '704056e57542887d', '1a0bd5daf36cc951', '79dda916bba4e040', '9c719fa62656280b', '1f2241043228c846', 'ec084b47780b0054', '7097ecbb242ddc3d', '4b9488446f93e268', 'd635fdb4ad2d18bb', '4fdd05cb93ce0120', '5e6ba1ec43745076', '701699799d981edd', 'cfbe97a277ff392d', 'd4d62e24faa1a895']; context = [[14, 71], [77, 122], [12, 54], [159, 215], [33, 69], [26, 73], [69, 104], [169, 223], [21, 73], [1, 53], [117, 152], [14, 61], [86, 127], [18, 53], [6, 49], [4, 51]]; loss = 0.024443 low_pass_filter = 0.300
+Epoch 0: | | 18989/? [3:00:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 18990; scene = ['27ecc84dfeef35d6', '999d1dc292628db0', '93f0ba6797c67f20', '92ae0064b7c18b99', '9c002649b133ed7d', '2d5886bd890632c6', 'f249fdd072d2d35d', '4fb63d42b75f83ec', '9168f179a84dcc90', '32b6934068c002f8', '467c7103dccd9914', 'ceba0c9064ef2075', '9122be71240bb162', '05e806980d1b0906', '9e1d3181f2809fa2', 'c6ccb47f4d1886f3']; context = [[14, 64], [71, 115], [12, 54], [36, 71], [29, 68], [204, 241], [9, 47], [20, 67], [14, 50], [2, 52], [1, 43], [49, 103], [22, 78], [63, 106], [236, 274], [25, 68]]; loss = 0.027072 low_pass_filter = 0.300
+Epoch 0: | | 18999/? [3:00:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 19000; scene = ['d0cea94d114a9d7b', 'f918eea9b5ac04b9', 'be79c579399cd281', 'dd3c91a3d91bb3ef', '09c19f8ce4da6eae', 'fcffe98256ef69b7', 'c779f99d433a1069', '7b3e6a84de0b0f68', 'afd3503cc2365c9b', 'b982f2d15ad06d90', '98d306f47fc11c01', 'adaa73f8ce40388c', '1eae29fe1ddbcaef', '1fc5afaea5ab19a0', '2da48bd4dffcdcdf', '8cf7729ae1ce0bed']; context = [[8, 62], [25, 77], [103, 142], [2, 44], [25, 67], [61, 97], [64, 110], [180, 234], [29, 74], [46, 103], [1, 46], [109, 162], [0, 57], [19, 65], [0, 45], [167, 221]]; loss = 0.029014 low_pass_filter = 0.300
+Epoch 0: | | 19000/? [3:00:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000validation step 19000; scene = ['1072aae07584e091']; context = [[15, 67]]
+Epoch 0: | | 19009/? [3:00:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 19010; scene = ['0dafe350e2f5aa02', '676a62bb7947d66c', '5f97e7f0daeeacbf', '466a137cf7c24cee', '62fe323977f07a05', '305ee26dd52e6c47', '6b9e2b2554495537', 'd963397c195c1af9', '7514f3b17589785b', 'b88bb5a497a3359c', '4558a4e86660273a', '7dfe94c7f896530a', '58cadab07998fe5f', '5b8976bf2748f77c', '3b46f7051f8f7435', '7fadd0714fcfd888']; context = [[34, 78], [28, 82], [78, 114], [62, 106], [41, 86], [87, 122], [12, 49], [4, 59], [26, 65], [45, 84], [10, 45], [93, 131], [52, 99], [110, 164], [30, 67], [3, 40]]; loss = 0.023995 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 19019/? [3:00:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 19020; scene = ['4585f80cef08baaa', 'e713ee11cda7ecd7', '8811a6753f66c635', 'f30872b887eb8b3e', '06305d12bda0f8d1', 'cbcf75cdcf158a97', 'e06779c191688093', '2dae1466bcd53a60', '6f874533f773782f', '2920d91267dab781', '405d26cdefbc4e7d', 'e1bdea7706379ebb', '74a2add23fb6138e', 'e2b1f82a439706b8', 'b061784000b19e43', '74ba959eb3b33654']; context = [[34, 82], [20, 77], [56, 111], [99, 143], [34, 77], [26, 61], [28, 72], [5, 44], [95, 134], [0, 35], [33, 71], [36, 86], [54, 107], [6, 58], [6, 54], [31, 66]]; loss = 0.024467 low_pass_filter = 0.300
+Epoch 0: | | 19029/? [3:00:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 19030; scene = ['331108af4b30ad2e', '29f2859edd3bc59d', '75d5c9bbea9d14d4', '6e77ffab3e66c017', 'fac649a98e1b40d0', 'a507532d84d52eac', '5f9a698522ab7afd', '146061cae31b2eed', 'e8a0e1bd17e1c957', '56de6aba69f7562c', '3dc6e71970508ac5', 'c7e638374e830c4c', '472b7f097eb6eb21', '833afa77a3efb644', 'f0a4ffe063ef1a4f', '4c311eaa8a251eac']; context = [[17, 60], [14, 55], [60, 105], [8, 65], [23, 62], [98, 145], [30, 77], [50, 96], [121, 175], [10, 58], [65, 102], [129, 184], [99, 137], [70, 107], [65, 100], [35, 88]]; loss = 0.026354 low_pass_filter = 0.300
+Epoch 0: | | 19039/? [3:01:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 19040; scene = ['880e7b42b8a47cbc', '36483af0a0664950', '9f83fb08938eef2a', 'db51ecccc049765f', 'a952e2399a3b481d', '57619c7c9351d848', 'f3072e703636a2c7', '43a0ba2388348766', '1e1816280d28a87b', '9b1512f328b4450f', 'd2b2042b2e6b74ed', '709b3bbfd6459936', '47a64eff7f12167d', '1f7447faa4714980', '8e5527062b4f2c23', '9525ae89d72ab742']; context = [[70, 108], [59, 103], [14, 56], [27, 76], [166, 222], [64, 114], [0, 46], [46, 82], [84, 140], [26, 63], [10, 46], [27, 81], [12, 50], [97, 138], [45, 96], [67, 122]]; loss = 0.024860 low_pass_filter = 0.300
+Epoch 0: | | 19049/? [3:01:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 19050; scene = ['e9ef9a85f0ef0d70', 'c13a170c8c7c34c2', 'dca346569daffa17', 'c6aadaa4cd42d534', 'ec87ff261c986c1f', '868d89d13e6d1dbe', 'c0d59c9ccf3a912e', '993a834091541fed', 'b9bba926564d94fb', 'edc3399caeb71eb6', '3fb6c568d960f072', '38d2ac7c43dd0eb8', 'e7aa969073578104', '564ea16244f45dd8', '25767990c1e5df39', '23683c24eb019816']; context = [[7, 62], [15, 52], [14, 59], [88, 143], [2, 41], [78, 118], [114, 164], [118, 167], [28, 80], [3, 60], [19, 60], [55, 101], [109, 149], [33, 70], [41, 98], [8, 53]]; loss = 0.027448 low_pass_filter = 0.300
+Epoch 0: | | 19059/? [3:01:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 19060; scene = ['95346eef8181be12', 'c59210f96ab4a776', '1bbd97bb351008ec', '89dde5e967d0d27b', '9ebe82bc0d08b098', '314fb25b28937f19', '29b6779871858fef', 'f5ddadd8a6012e8b', 'e3ecab22ff01b0a2', '221bdcfb2013b215', 'eba5a5aafe96bbdd', 'ed6e2f71b738e102', '9cd273b7847a34b3', '1e0843e68da6ff84', '241acb3f10162b57', '06b8262fdfbe04fe']; context = [[5, 43], [19, 54], [65, 111], [66, 101], [62, 109], [23, 68], [180, 228], [35, 80], [32, 71], [3, 51], [89, 145], [39, 81], [22, 69], [8, 62], [149, 184], [230, 271]]; loss = 0.023028 low_pass_filter = 0.300
+Epoch 0: | | 19069/? [3:01:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 19070; scene = ['0313a1cc48ea7a60', 'e5d4a92df47d7883', '2f3db5900d69a891', '5c214c6cba1c63f2', '6dd9e3b237e3ebf9', 'c21ac4985720cb50', '1cdde81ba9489e2b', '7280451b8d7c7f9e', '6259f31e093585f5', 'dbff8fae78b2b07f', '66ab33a1b3e31e7c', 'ef32d6c5ae18f16e', '618536ae5f39352b', '454c2d4b8699258d', '9c9e982632b63f97', 'e7d38a7e5cb0a8c4']; context = [[31, 83], [1, 52], [18, 57], [99, 148], [10, 47], [13, 58], [29, 74], [12, 61], [52, 88], [77, 126], [30, 70], [45, 81], [70, 122], [0, 39], [8, 43], [86, 136]]; loss = 0.022037 low_pass_filter = 0.300
+Epoch 0: | | 19079/? [3:01:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19080; scene = ['d99bc927fc414c61', 'b96d03ef450db8c6', '850fe18254e517b4', '4e80959d582914fa', 'ab78b3eb64029b73', '50641afd11ba76f8', '2578cd7cec8068b4', 'b6d6a1ec65fa5263', '2bc8b64aafc5870c', 'e3b385876279e0fc', 'c9266f8b6968ca51', 'a1d1c182d3b2ee90', '0a2b30f8255c2a93', '11f7a2991ed95c71', '7f36a3984d359b29', '25940df940e06e06']; context = [[164, 204], [42, 84], [7, 42], [23, 62], [27, 80], [117, 166], [90, 133], [9, 57], [212, 268], [34, 72], [5, 60], [7, 50], [2, 40], [75, 127], [145, 180], [78, 134]]; loss = 0.034564 low_pass_filter = 0.300
+Epoch 0: | | 19089/? [3:01:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 19090; scene = ['6019fda73444fae2', 'baf51e7f308c7790', '8b9d2f4e94b006f6', 'b63c9d7a40bb95fe', 'f22b2f6529982e5d', '52f9fa6da69bfaf5', '3689fe268c8f8400', '7ce258bba41c9244', '8230329a8e437458', '6f64345a52ccd198', '6aa70be22c85c82b', 'a197313c851249e5', '6bf7d357e8f89ed3', '7a07fad554c69e5c', 'dd5ec950a01c42a0', '772b1eb7611c51e6']; context = [[60, 106], [15, 66], [58, 116], [24, 61], [127, 162], [30, 81], [5, 58], [90, 139], [117, 171], [12, 53], [2, 37], [29, 82], [1, 54], [47, 93], [8, 46], [45, 81]]; loss = 0.026232 low_pass_filter = 0.300
+Epoch 0: | | 19099/? [3:01:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 19100; scene = ['4ced0f86d3543eba', '3e7d9e9d11520831', 'f0003bd99c35b01a', '899701c671a6cde5', '198c8bb58640bdd8', '43ac09553d98fb3d', '9b75e834893b5e07', '57de58c91eb80238', '7bef257f82af89c3', 'd706c72b828cbc16', 'a1206ca66f182d10', '8077f3ee01fd9872', '7f1a2e333be7f697', '5ba3f48e64beb777', 'bc01380450049abd', 'aaec20a7befd0f04']; context = [[38, 84], [222, 257], [102, 143], [0, 35], [7, 64], [29, 78], [3, 44], [74, 111], [10, 53], [0, 35], [0, 41], [41, 82], [12, 68], [15, 60], [23, 72], [214, 257]]; loss = 0.027435 low_pass_filter = 0.300
+Epoch 0: | | 19109/? [3:01:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 19110; scene = ['8d04b4ad182fd80b', '5a5fbc148348f33c', '07ff09ea4dfd63ce', 'd09b82c6b4496a66', 'a530c8b4fa89b84e', 'd6bd81b4a34ac00d', '356ba7e96c3d9426', 'c46f3f1ddfd8533a', '5692ffde04b99f08', '572f15c53545baaf', '8b74f0ab08101b27', '6feb82e28fe110f9', 'debd6aa3bae1d248', 'ef5c5a590e9d175d', '9d91b5a77ade5f52', 'e36928d0d1da0647']; context = [[9, 60], [66, 104], [172, 211], [29, 73], [24, 75], [50, 101], [44, 87], [28, 65], [113, 157], [122, 160], [80, 128], [15, 66], [53, 95], [2, 44], [110, 162], [83, 139]]; loss = 0.027113 low_pass_filter = 0.300
+Epoch 0: | | 19119/? [3:01:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 19120; scene = ['14a1d83250bf6a20', '75cbbfa22033dbb8', '34cd5d4903ea9a76', 'ba9887bc9330e87b', 'b6533ec6db201f28', '344882d6a7f4863a', 'dd38cf3bee30e7b8', '3912f6aa47883716', '3c51203a37e1310b', '17b66ea136f06ae0', '6c48f5bd433bc366', 'adee1fda5e363a59', '9907f077594b8fe9', '3c124a8f0d2e2988', 'dfe9f6faebfa093d', 'd84de7a276ad1354']; context = [[26, 77], [192, 233], [2, 60], [8, 51], [30, 75], [9, 54], [10, 50], [8, 58], [21, 73], [77, 120], [82, 120], [14, 60], [99, 152], [23, 58], [2, 53], [6, 48]]; loss = 0.026751 low_pass_filter = 0.300
+Epoch 0: | | 19129/? [3:01:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 19130; scene = ['c97b906d62b3b60b', '1201c21d12e6aab3', 'e249721b18da12f6', '2d1ef0e2016d80f0', '03bf529f48bfbbed', '3c0a2c6b785634d5', '77738fa081c7619a', 'b83838c091a3d1fc', 'f24a6c3df94a093a', '6116fc054517d36d', 'f23de15ce9f60bdf', '39897e750454bcd5', 'cb47682b8ddca2c7', '601396464063bf6d', '7d0730b43c16c126', 'c860529fa4f6ef5f']; context = [[0, 56], [0, 45], [13, 48], [14, 52], [7, 60], [69, 118], [5, 52], [27, 71], [18, 54], [24, 81], [120, 160], [41, 88], [134, 188], [56, 94], [147, 187], [1, 52]]; loss = 0.025215 low_pass_filter = 0.300
+Epoch 0: | | 19139/? [3:02:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 19140; scene = ['eb8b522706c90abc', '2a3adab8c56fd0af', 'fbeeb97c2581e94c', '4eb5a756e10b6135', '6505b95fda3a6fd1', 'b991599a27d51aa9', 'c962356f6909f74a', 'ae61cd5eca2cf47b', 'd9461cc556360657', '465b4e7f5596b0aa', '51558f55181adeda', '893f7fc55d9acc03', 'f31f2ae8f0316f19', 'e88847a976dc6442', '09620e93073c72cb', 'e9af8e5a35c54350']; context = [[28, 78], [196, 245], [213, 250], [22, 65], [53, 105], [30, 75], [103, 154], [53, 106], [16, 66], [18, 63], [31, 82], [42, 79], [8, 53], [12, 68], [17, 54], [95, 135]]; loss = 0.026307 low_pass_filter = 0.300
+Epoch 0: | | 19149/? [3:02:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 19150; scene = ['c8c4c58a2e1e8742', 'dee5a241fa290209', '18ef7c53ea187ec3', '35df14b863fc5941', 'e6ebcb405cb22ef5', '75e2f5091125385c', '69e5729f406916bd', '67cc762eeb7f36a0', 'b3f8039ec7fd3e4b', '5536007fc18a0659', '39e85d8e0e948e66', 'f2e38a459be0261f', '1d723573da63bcdc', '73fc75bd5d1e83a9', 'ef80ab038f2341ad', '5e6c8b241ce519bf']; context = [[0, 55], [61, 104], [56, 108], [182, 237], [12, 50], [236, 276], [32, 90], [65, 113], [31, 88], [116, 173], [61, 102], [41, 98], [16, 67], [7, 52], [102, 143], [19, 56]]; loss = 0.035640 low_pass_filter = 0.300
+Epoch 0: | | 19159/? [3:02:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 19160; scene = ['06664d17c613a563', '256bf843493c6450', '551c02958152377c', 'a514bcc8aced0356', '53e9f13ccdca849d', 'f0e3087ed60f8e68', 'f51137376d99b7c0', 'cc44fa522a2027be', 'e26035577b7e94b8', '85d089291fa710c5', '1589d2164305202f', '031ca18c9472f03e', 'cf9fe4aa40e1f285', 'a791ecc75f3cc01b', 'b78e4f69840305e4', 'ea2d0140f0f46e20']; context = [[16, 58], [6, 43], [91, 127], [18, 66], [104, 145], [4, 54], [0, 51], [9, 48], [99, 144], [35, 70], [7, 47], [124, 175], [21, 73], [19, 67], [24, 63], [6, 61]]; loss = 0.026123 low_pass_filter = 0.300
+Epoch 0: | | 19169/? [3:02:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 19170; scene = ['140b10a4f6bb5aa5', 'e25329240a498e6e', '11094b4b71a9ab00', '506753022747f386', 'c506d1287fc0bc4e', '4b1bee2132817957', '8f8db78b02cc1d0d', '56a2ac4100abd798', 'd54159912c53e80b', '4946a0355cebddad', 'c23fe454bdf2aff2', '4157be3703b992c9', 'a8c10c5aa79981b7', '02df65abb7c0bfb0', '6ba2f377a21c9425', '3242954a362c68aa']; context = [[8, 56], [43, 91], [170, 205], [76, 127], [0, 37], [53, 89], [48, 96], [85, 122], [80, 128], [73, 122], [174, 209], [4, 53], [0, 50], [69, 107], [23, 67], [0, 51]]; loss = 0.039670 low_pass_filter = 0.300
+Epoch 0: | | 19179/? [3:02:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19180; scene = ['8b54ea3284f5c864', '34201d3bc1d0c0f2', 'f1afbf6f673bac06', '9a281760e4332d8a', '8833535b7cf3a3fd', 'd90e1010470c6a9f', '2c1c950314fbbbea', '3f5020e5dc8240bd', '7fc6a4aef5aafaa7', '94c931fd2c558de5', 'c5e355f5e0003838', '42158adb6f145f4f', 'eba2d56e2f7d8c50', '589a63f0ffec1297', 'c201929c01543ff8', '6cfe3c7146df3d9d']; context = [[159, 203], [7, 42], [0, 36], [79, 126], [156, 214], [84, 123], [16, 65], [15, 68], [23, 61], [23, 80], [16, 58], [12, 51], [8, 59], [54, 108], [152, 203], [192, 232]]; loss = 0.033982 low_pass_filter = 0.300
+Epoch 0: | | 19189/? [3:02:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 19190; scene = ['d378904cf46479f2', '0a2779d52af40db3', 'e8f8d92eea003f0d', 'a3f6346a3db4855c', '5111e9fee46cdb11', '434bd83c81eae45d', '992925358996d7f5', '676397074933e68a', 'af7f5ee416e05f8d', '8728264c6018e495', '5bdceb769e5b3926', '322eaa39daf81f93', '3803b2c8fd539a88', '4007505c2d6ee7ee', '90ae09316f304318', '6a27f031bc3f1193']; context = [[31, 85], [134, 181], [64, 99], [13, 49], [58, 110], [48, 87], [21, 75], [79, 120], [0, 35], [87, 138], [48, 88], [1, 38], [34, 71], [0, 46], [24, 64], [79, 119]]; loss = 0.022318 low_pass_filter = 0.300
+Epoch 0: | | 19199/? [3:02:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 19200; scene = ['07c292c4e24e752f', 'cdad2b86094189ce', '7cfac1c5c75d8cb2', 'fe76916bbbcc9bfd', 'ef294337f32250ff', '91569ae4b2a46efa', 'c6dd29c2849afc3b', '9364344ee7f3c7e0', '6859d00d1fc05309', '15489fef442e5c6f', '2a066c2a9633dc01', '96e4a25757e451fb', 'ad65905845be5ea6', '4be26e4b5bb4ede1', '3a6faefafd42faca', '0a4e5e726c134159']; context = [[59, 114], [51, 105], [14, 59], [11, 64], [80, 122], [2, 59], [3, 54], [49, 87], [10, 47], [51, 92], [59, 113], [100, 154], [10, 68], [100, 157], [19, 65], [9, 64]]; loss = 0.032629 low_pass_filter = 0.300
+Epoch 0: | | 19209/? [3:02:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 19210; scene = ['3f069a1ea73a2921', 'e0e378013f63dd7e', 'e9d56ecc73549f5b', '7e59c9a4c9578664', 'aa9c5c567469ac79', '6ccd077184232246', '2d4c30b09d034a7a', '7ce060e72f1a3284', '2e582a79bc0fbc31', '4c1e9218faafee56', '1c55f7ea6ac78614', '43fb3933f340b325', '20ba9ecd93c4aeef', '16cbcf5ade966b50', '6c89dcff20255b6d', 'c71922522800ec1a']; context = [[12, 65], [98, 133], [162, 200], [59, 107], [38, 88], [167, 221], [6, 62], [3, 58], [34, 77], [26, 76], [95, 138], [27, 66], [59, 115], [123, 178], [3, 51], [182, 235]]; loss = 0.026635 low_pass_filter = 0.300
+Epoch 0: | | 19219/? [3:02:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 19220; scene = ['689a2285be81da67', '743fd8885643d3aa', '010b84cc55023da5', '6a35ee0a1f4b0de3', 'd52a9764036894ac', '0f5392e04bb19f8c', 'c2a0b337dfce828a', 'e62ddf130ef1c47d', '0df8d4e3cd5241e6', 'da5de01cf7e41541', '81f14aa47558e90e', '197edde42c1eaac3', 'df5695b1d749fefa', '813050433c8b20bd', '7102d9010349a215', 'b710c863c5c1e1cd']; context = [[53, 100], [52, 105], [73, 119], [0, 36], [211, 254], [154, 205], [35, 82], [180, 233], [1, 54], [76, 125], [73, 118], [65, 114], [5, 44], [1, 41], [105, 145], [54, 97]]; loss = 0.031607 low_pass_filter = 0.300
+Epoch 0: | | 19229/? [3:02:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 19230; scene = ['92cef9a878526dc5', 'c7e3e49c23394d54', '28db6971cb1ecad3', '67f9a1f1487f2ef0', 'b5f9c063d62c94bb', '03903125b687bad8', '686b949b3e4bf5fa', '43b3354177dedfcb', '6cd5b0c2949e17e4', 'c2b1745072bce1ef', 'd15af59d414280c5', 'c80291ff8936a10e', '07d62dd06d7d3b10', '37e6ad4caa7f9e37', '3667c847c4f69add', '56b2322682ff3abb']; context = [[7, 46], [80, 130], [0, 36], [28, 75], [64, 101], [43, 99], [15, 69], [0, 51], [229, 272], [74, 121], [182, 233], [3, 59], [145, 197], [9, 54], [63, 118], [31, 80]]; loss = 0.029519 low_pass_filter = 0.300
+Epoch 0: | | 19239/? [3:02:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 19240; scene = ['5b9d1cf99dc03ea9', '0f04f8ee8b2396c7', 'da794e5b3ff8bd6d', 'aaece70a39dd3257', '39f7c76ef42ac1d4', '55f0fab213db4673', 'e045088757e72c54', '00adc59ebcbe00f7', '17fbb941d129b91f', '2735d9182acee2f1', 'f64a64b4c17ad1b0', 'c6c114f98ad69a02', 'd2d3474ebd2be7e8', '18ed5f9e86797748', '68fe4c264682a4af', 'de13992d44e86ff6']; context = [[41, 78], [32, 85], [25, 75], [115, 153], [27, 79], [20, 68], [22, 64], [0, 40], [9, 48], [5, 42], [0, 38], [53, 104], [1, 44], [22, 58], [7, 60], [56, 110]]; loss = 0.025339 low_pass_filter = 0.300
+Epoch 0: | | 19249/? [3:03:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 19250; scene = ['493811a076df63d0', '1df9284b9b3b08ec', '7885f21461cd4377', '19cea81590502fad', '9d7bae0be039a957', '49857bd0043463c0', '665220b8553895a5', 'a54eb0f2f3d2935a', '073f5833ff3a94fa', 'b1a52a6ba86992e3', '70e5a51e17c67946', '6961b5dbb9ff9278', 'f6540401991f7640', 'f955ea0251fbcd9a', 'da363ffb684c74f2', '2133d448d2686235']; context = [[5, 57], [55, 94], [39, 89], [125, 177], [77, 132], [22, 77], [20, 76], [74, 114], [21, 69], [0, 35], [49, 103], [42, 88], [31, 67], [35, 72], [36, 74], [5, 60]]; loss = 0.028182 low_pass_filter = 0.300
+Epoch 0: | | 19259/? [3:03:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 19260; scene = ['6c8cd35a8c38bf5d', '280d6636eae33dd3', '07a9a32c46e67df3', 'a802441c288b598f', '90da26a5b04b69ed', 'd9ff7a8b9114dbcd', 'd7afba0f3ab5b579', '93598ff73741eb47', 'a3e68f2a6b87063c', 'f79a6334f7f97c04', 'f7d839262e5cc647', 'c0019ff8afeaf1f7', '84dd6be769a13042', 'b60bd0b7724eef6c', '08ba91736b9b2a17', '09957592fc85258e']; context = [[5, 42], [22, 65], [0, 38], [98, 140], [14, 68], [8, 54], [14, 67], [189, 247], [222, 271], [13, 51], [1, 49], [20, 78], [5, 63], [4, 62], [33, 81], [86, 135]]; loss = 0.033351 low_pass_filter = 0.300
+Epoch 0: | | 19269/? [3:03:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 19270; scene = ['1492f66574082e1c', '674f584b6f09a890', 'a1001a4df99e557a', 'df756e2bb1999ee7', '9d682af42dd7d886', '2ee23f8203b533b4', '4d5b55c12c0028dd', '02bb7b7e42bf32cd', '8c2bbeac9417065f', 'f0fb71e87e8675d2', '2431adcdd3aeeff3', '0b82d6fdf7a104ad', 'b1f3e643fb405e5b', '6cee6d0abdf16185', '7549b399afe41ed8', '51252022ddf74fb9']; context = [[90, 125], [52, 97], [45, 92], [100, 146], [200, 241], [167, 215], [13, 56], [21, 77], [9, 51], [11, 64], [170, 218], [214, 249], [80, 128], [2, 49], [72, 126], [211, 258]]; loss = 0.027385 low_pass_filter = 0.300
+Epoch 0: | | 19279/? [3:03:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 19280; scene = ['df6235b65c6fbc8f', 'cdd6844d28acc6c8', 'a7dc48ebfac01369', 'b31aaf00447c4ebf', '2b15d2104d444b68', 'd4b69051df78f431', 'c99aa7df2058b71d', '0a6cec37175b38a3', 'b184ea802483e37f', 'cd5b94f8cb32cc79', '1ca35396fbd10b46', '8740e1f6de885c55', '37382e949c5071a2', '91f91c407bc8b320', '5061d6e64c05022b', 'd220b5a896dd7fe1']; context = [[191, 232], [28, 74], [14, 59], [14, 62], [72, 124], [101, 156], [5, 45], [66, 124], [5, 56], [29, 73], [64, 105], [111, 146], [19, 55], [1, 58], [86, 142], [138, 173]]; loss = 0.023494 low_pass_filter = 0.300
+Epoch 0: | | 19289/? [3:03:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 19290; scene = ['6fc7d08ff0b3eaee', '46b81f067b56100f', '3fdecf55795963c2', '51da9e0a5042d403', '5118e208d551104d', '250f2ede2019a91a', '070e6ca07b5f898c', '07d791e644a21f03', 'e43706d840696cd5', 'd2f5efd93cab216f', '13f7e729c14cd10a', '4cfdc3ed984caecf', '1bb8fe74783c5161', '21316ebacd8d1dc3', '4b3fa9f2651d6a1b', '07aa57b4199f27d5']; context = [[43, 87], [36, 94], [2, 48], [65, 105], [207, 265], [11, 60], [165, 211], [2, 55], [3, 44], [74, 110], [7, 42], [213, 264], [17, 59], [5, 46], [71, 127], [85, 130]]; loss = 0.023769 low_pass_filter = 0.300
+Epoch 0: | | 19299/? [3:03:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19300; scene = ['9079c9851a1aa17f', '1a565ef44363e64c', '1a4ddcf447f6a98c', 'ae108d175a910a98', 'fbd15ca7d13011fe', 'cece38769c817935', 'be4f1d3a9081ec93', '26982d1d02e9afff', '622a0d2554fc5402', '951d3d3360153a68', '4fc52f6aeecd8f82', 'afe08596b2895950', '8ed5a86dea1245cf', 'aa1601b3c7e10e3e', '014f71bd22de9f37', '969eae779f4745e5']; context = [[5, 63], [75, 127], [56, 107], [36, 91], [5, 63], [1, 57], [97, 145], [46, 104], [16, 62], [105, 140], [35, 84], [158, 202], [182, 238], [41, 81], [206, 263], [20, 70]]; loss = 0.026763 low_pass_filter = 0.300
+Epoch 0: | | 19309/? [3:03:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 19310; scene = ['f26c35b6e5dca2b9', 'f26e8a72f69b6153', '89fbc4149a5d7348', '2059d1d6c79bc51b', 'afefafce8f467d96', 'b31239014a7a8acd', '04035ad3c79de71f', '894324a48983f33d', '8dc59480f09acc94', 'f19fa4e6eb72c01d', 'ed67a97c26a61b8c', 'a6ce8807be0bf3f2', '8552b697412b1e72', '7c1c4dfede486a30', 'f7bef32e09ab061e', 'c8e936ea5ad9e902']; context = [[28, 83], [180, 220], [51, 86], [7, 65], [8, 57], [12, 62], [16, 55], [137, 194], [80, 126], [12, 63], [12, 48], [4, 44], [74, 111], [9, 62], [31, 82], [208, 264]]; loss = 0.026366 low_pass_filter = 0.300
+Epoch 0: | | 19319/? [3:03:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 19320; scene = ['9b6a57a6ff02dd12', 'b9b418fb1cb8b12d', 'ec5be7aa42eaa9b0', '1ce140bd016b2813', 'af05e9f84b56ad4b', '628aef9f0530a52b', '2c78821e19bd4ab6', '9ba631ec8a1568d2', '390fce4d1f115207', 'ec94c6fff965a9f9', 'ca88e751361b34fa', 'f17aee9a1b017d4f', 'ea35751c4ee60f5c', 'b766fb72e5b5daea', '071373b20ca8de21', 'e29d926fd50d759b']; context = [[23, 70], [4, 52], [149, 184], [32, 73], [132, 180], [23, 81], [0, 54], [15, 53], [86, 133], [6, 63], [1, 40], [166, 216], [17, 69], [32, 84], [38, 82], [4, 59]]; loss = 0.025518 low_pass_filter = 0.300
+Epoch 0: | | 19329/? [3:03:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 19330; scene = ['448e9fe6319b7f82', '8ae3c19ce9df8d10', '783d8f95e5260da3', '7185737d68768bfa', '5a47b4645c56fca8', 'a26323053bf1a166', '9e074c67823c5c9d', '0abb5cd97c210262', 'e1c8a5a48aa8d6b6', 'b99be4a64b39bf00', 'f16b47243c820545', 'e285e5f44d29e07f', '43c62aae5e2a9555', 'f4c4d2325f11f2f0', 'acdb6c85a0257cec', '0148d3807fb33da0']; context = [[115, 153], [17, 60], [76, 119], [1, 51], [16, 60], [15, 59], [30, 69], [8, 51], [60, 118], [56, 110], [81, 128], [166, 208], [3, 54], [25, 65], [40, 84], [10, 59]]; loss = 0.027085 low_pass_filter = 0.300
+Epoch 0: | | 19339/? [3:03:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 19340; scene = ['0752723a52571176', '5fbb1f29aa71cc68', '22add377c0d22016', 'f1858690627f8bcb', '42bc92ec4041074e', '007bd32591b43f68', '3e5be575ccb0f6dc', 'cee46b2523a45a59', '78f54b16f8204c3a', 'ab964b6b003ae5e8', '4a43e0185c382de7', '3a192914348dbd61', '0f8ad14bb4088d81', '4af74f4ff7c54a9b', '31f279e32e497154', 'd4ce31ac30a139fc']; context = [[18, 76], [22, 59], [1, 42], [1, 42], [2, 39], [171, 219], [89, 125], [39, 84], [38, 93], [3, 41], [69, 110], [39, 97], [125, 166], [15, 72], [54, 94], [189, 241]]; loss = 0.028752 low_pass_filter = 0.300
+Epoch 0: | | 19349/? [3:03:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 19350; scene = ['5e961818fd67db46', 'f441343e0c0fd965', 'd4f97bf4d5c21701', '6c9cc576ace9fb53', 'd6f1be9412864059', 'c5c88eecdd77f9b8', '1e34da8488eaf819', 'd2f557eafe8a2d12', '31798bae7e83522a', '4f904d8b36a45943', 'be3401ce13a4180a', '3e44b0211bff141f', '6fa353a8d73efcd9', '3bbd78ba78e45acf', '5f200e3e880b2225', '51d7fab7ae0c2302']; context = [[6, 49], [53, 88], [0, 35], [81, 135], [38, 76], [6, 64], [62, 110], [56, 93], [13, 61], [49, 90], [81, 121], [11, 52], [21, 56], [23, 64], [9, 44], [58, 112]]; loss = 0.025430 low_pass_filter = 0.300
+Epoch 0: | | 19359/? [3:04:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 19360; scene = ['1045f4f8fd6bdd09', '8d758914077e5926', '93e09aeb0a7c54d4', '3c0124edc69eb6a3', 'e960b51a97283205', 'ed491b6b382a27dd', '8c7d11ab92e11ec2', '9289b45affc0393a', '8c8f544747e05e5d', 'd62107fbe6f3019b', '2cfd10fc7cffeeb9', 'e906641219544af4', '67220c977a681ac0', '581114571144e6fb', '0319c6e14cfff622', 'da127f12a53933f0']; context = [[47, 95], [32, 71], [26, 71], [178, 229], [11, 51], [5, 57], [52, 93], [65, 122], [34, 90], [11, 54], [36, 85], [20, 62], [88, 140], [2, 55], [70, 125], [1, 39]]; loss = 0.027131 low_pass_filter = 0.300
+Epoch 0: | | 19369/? [3:04:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 19370; scene = ['735806a526764f0f', 'f1d0c2308fe37a04', 'd949abd5b412d212', '11dade2554d9fe4b', '60008e826bbabc87', 'c192877873ca4513', 'f21111953bcea290', '96d32953310c8208', '3d6b9aedc82597d8', '142345dff1f507da', 'b9898a02ddca3bdc', '078cf7bcdd1e6b98', '08c27044b75f9d07', 'a67d54082ce14e9a', '8941f8b586e324bb', 'c296bc064bf57103']; context = [[48, 89], [11, 51], [14, 61], [9, 55], [50, 98], [23, 73], [49, 107], [27, 76], [33, 84], [44, 88], [35, 72], [71, 120], [38, 79], [49, 104], [92, 129], [91, 138]]; loss = 0.024515 low_pass_filter = 0.300
+Epoch 0: | | 19379/? [3:04:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 19380; scene = ['c798126c9e920dcc', 'd261d26a10a93975', '3bb404adfcc380b0', '6f72032f93d39fef', 'fcf74e68c2678dda', 'c3bc207f4af7ad46', '17e071f027c54b55', 'c932900554a3875e', 'd0a5fe02748fc75e', '33e2078934da463f', 'a75e410b243dbdd0', '8ce487e5f7832de1', '293fd741a4b1418f', '7fd4e9cd7ee235cf', 'f3c989f55510b54a', 'efe93ae11b0ccdea']; context = [[41, 80], [22, 74], [164, 204], [38, 75], [52, 99], [13, 63], [29, 79], [2, 49], [32, 83], [25, 61], [0, 38], [115, 153], [140, 196], [23, 66], [118, 156], [65, 121]]; loss = 0.025776 low_pass_filter = 0.300
+Epoch 0: | | 19389/? [3:04:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 19390; scene = ['cb1c36275e03de61', '3f7992e72a096099', '2c88995e05a17d17', '964a8c79fc153038', '5aac7a494a76897f', '1c1dceff8e6f0eae', '591b7fef7e40aed8', '8a1475befb607b61', '0159a74d57a1b2e6', 'd216906d16b4f008', 'd8dee462911b5e6a', 'a8b050efa6c8b67e', '9329c049929d708a', '49983a5053eafbfb', 'e1df53064b4345d8', '05072eaf139f4298']; context = [[234, 270], [19, 63], [0, 45], [73, 131], [28, 65], [71, 114], [35, 76], [1, 37], [108, 153], [6, 54], [79, 117], [116, 163], [7, 61], [20, 56], [4, 55], [0, 44]]; loss = 0.029654 low_pass_filter = 0.300
+Epoch 0: | | 19399/? [3:04:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 19400; scene = ['f13084d6692c6510', 'e694c49a95468287', '4ba7f6dbeb55b20e', 'fbffb9c21146ae12', 'b4bfd76a9c071c79', 'fb4d48424bf2f030', 'e3ea1d932cb61b36', 'ef8abc1b989a812c', 'ca69181244bc4794', '8730a68b24c3678a', 'da0a55bfc7ac0d7e', '4cca2ad1cde55681', '7922209e3015f2be', '2a64843febb83d4b', '611773875fdb8681', 'c2ca510a4a1617f2']; context = [[57, 105], [14, 58], [8, 56], [52, 90], [183, 221], [6, 60], [22, 77], [56, 107], [5, 54], [81, 133], [36, 72], [8, 60], [65, 100], [15, 54], [48, 83], [70, 109]]; loss = 0.025423 low_pass_filter = 0.300
+Epoch 0: | | 19409/? [3:04:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 19410; scene = ['91a3807c4594afbd', 'eee7f2bee7aec83d', 'bc5ebbad305b5d0f', '0efc6af8523c24d3', '247734c1f18b13e0', 'daca15248046e480', '40e5a3bb5f8594ea', '0603807853f0f013', 'fb602e807115895f', '7412a1ebda95734f', 'ad9fb9be955d5f75', 'f590c2e368c84263', '0cd5fa6be5701535', '9e78a8ce89ddf0de', '30f5837d45148abf', '6e3b707bc0e641db']; context = [[4, 44], [8, 53], [11, 57], [57, 111], [131, 176], [11, 66], [32, 75], [7, 42], [139, 188], [26, 68], [62, 115], [9, 65], [9, 62], [20, 55], [10, 65], [3, 60]]; loss = 0.025786 low_pass_filter = 0.300
+Epoch 0: | | 19419/? [3:04:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 19420; scene = ['416b3dd5d7cd95ce', '1313acf0c228add2', 'b9ff5ad117ad6b24', '81200ff43940ce90', '349738c773f1af23', 'fb6c585450410ae0', 'd77ffc6a0bc1b514', '053ae5f5b93b1d20', '034a57b1ea3c8ca9', '582179e6a58732db', '61491d87e3e6ca60', 'a983f9bbf8f45e19', 'ec50fa67a550aa17', 'c5197c6f18fcfab7', 'ea297d66f60d6b3f', '650d86f52cef496a']; context = [[1, 54], [43, 95], [36, 83], [72, 124], [200, 255], [12, 50], [0, 35], [18, 61], [70, 122], [39, 85], [0, 45], [174, 215], [77, 117], [170, 219], [20, 78], [153, 203]]; loss = 0.027484 low_pass_filter = 0.300
+Epoch 0: | | 19429/? [3:04:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 19430; scene = ['3a962e4e715e65de', 'cf94fc1175fe334e', 'ed607afe10a81281', '49bfb5473fa165c2', 'de1c9674255ba611', '434e6cbea729523e', 'ef868db391c2ff62', '5d1cce2cc108112e', 'cd75d63480dc9b19', 'd1ddf5a9e8e08d47', '0e7f80803adb73f5', '2796da75bcd72d11', 'fa6cb78e1503d22c', '0207b0ec0cc851f6', '40c0d605c4f8c69b', '8fd75bd520e46b44']; context = [[31, 75], [23, 71], [84, 137], [67, 103], [0, 55], [2, 47], [192, 243], [3, 54], [14, 62], [52, 107], [39, 81], [3, 61], [75, 117], [1, 49], [5, 48], [12, 57]]; loss = 0.031279 low_pass_filter = 0.300
+Epoch 0: | | 19439/? [3:04:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 19440; scene = ['ed75866ec9a40107', '6e884ff6d57a3364', '9761d07ca7f2a0fc', '9d5e2fabbfaf74ef', '4e1b882813955e5e', '4057f16695021b25', 'ed9dd8ce473cc52e', 'adf57d46b95f852e', '939e52a7c9ba427a', 'e41709952e5565e2', 'c339230117f57503', '5e6dd2d2694a7bb9', '41558fcac4c12867', 'e86f3498eee85503', '7f1751104002d662', 'acf4fb4667004f35']; context = [[77, 117], [119, 172], [97, 155], [55, 97], [61, 110], [184, 229], [16, 61], [198, 247], [70, 116], [178, 224], [1, 37], [1, 43], [80, 135], [1, 39], [3, 47], [10, 68]]; loss = 0.027092 low_pass_filter = 0.300
+Epoch 0: | | 19449/? [3:04:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 19450; scene = ['3599c4c6d21fb2d2', 'eecc3fae23d9888c', '60ac470343f99a40', 'e0f94f721f5645c0', '29aed4bd6117c772', '9633f69d7f6699bb', '9a338b05ac5e0488', '0a683a595f574a3e', '3b904c75121b50d6', 'dc8a0bd69271e29d', '463e2b4db1450630', '067465f3c21db874', '5bba6b4279b90a3a', '1bb32d47bab4d0dc', '7ba0f68640ce9c8e', '412977eaf3f723d3']; context = [[0, 53], [50, 93], [1, 59], [3, 47], [136, 173], [46, 94], [90, 141], [136, 191], [17, 59], [15, 56], [126, 171], [8, 47], [45, 81], [48, 86], [160, 208], [92, 137]]; loss = 0.026701 low_pass_filter = 0.300
+Epoch 0: | | 19459/? [3:04:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 19460; scene = ['a5526e3fba4e3871', 'a43e51b1f17661f4', 'd8e82f327f681848', '9ee04fc0893141e9', 'c6b938515500f5ba', 'ae8b6f4dee0413bc', '80c1aaf5dfe84551', '6d766316bf6164d8', 'b9760b24420bb8bc', 'dfb5c99dbddb203f', '843e35674433ecd1', '2f14ade8275798af', '8afd5d2eba4c6bcf', 'df6d924afa10c79d', '0197f9c76ffe37f4', 'cec46046c053260d']; context = [[102, 155], [4, 52], [45, 80], [18, 62], [78, 134], [7, 57], [0, 37], [22, 59], [58, 101], [11, 57], [43, 82], [70, 121], [153, 196], [102, 156], [14, 62], [12, 50]]; loss = 0.027936 low_pass_filter = 0.300
+Epoch 0: | | 19469/? [3:05:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 19470; scene = ['bc1c008f39715ef7', '8152694c7e03b0c3', '14f3add9df8c5c11', 'a7930e5ef55f35e5', '2962fbb4bfaa1f12', '8055cdaff88d9bba', 'd2e538c55442f553', '385fe2305372cc98', '133b3a480f17aad2', '2f014a85e81ec2ae', '5882db20a6bb0353', '59d40a2bf0266ea9', '510265ff6868a83e', '038e82a37ebe8ab6', 'f8d6ba396651d621', '6208fd8fe75b76a7']; context = [[87, 140], [18, 60], [72, 118], [12, 64], [47, 83], [90, 138], [9, 64], [10, 49], [15, 56], [94, 149], [54, 109], [148, 204], [96, 139], [20, 77], [0, 49], [84, 128]]; loss = 0.028311 low_pass_filter = 0.300
+Epoch 0: | | 19479/? [3:05:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 19480; scene = ['bb114dfbdd195941', '9e16644932a6f7d2', '42e1cc17cb21f12c', 'b42870de310cce44', '8aac6e58ac48fd15', 'd9e0fc931a94def3', '62e480eda89b85f4', 'd3395f68f3233b97', '5354b259bb11a731', '12911b4f97d706b0', '937f8e3d9793a726', '5b32aa8371edec0f', '00bbf676b3378549', '34fb5840fbd65f27', '9bd0682ba6f3ea5f', 'd63314ee9d11a5fe']; context = [[26, 68], [33, 80], [214, 249], [49, 88], [63, 111], [23, 80], [27, 68], [46, 83], [75, 127], [76, 130], [1, 53], [241, 276], [11, 56], [0, 36], [58, 98], [13, 65]]; loss = 0.025652 low_pass_filter = 0.300
+Epoch 0: | | 19489/? [3:05:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 19490; scene = ['1a88e851d305178b', '8c0143a70cf3e085', 'cea3cd63316eacb5', '790075f0ba37ab5a', 'a670cb353526d600', '4f83d78089ea24e0', 'c52ec198e32186a2', '38907717de8a51d4', '6119e40a4a8af264', '6623c3822241dace', '17ccb96aabde6325', 'eaa610d06c1ef1ac', 'ecc5ad88a899700d', 'd33fd80a4959b66c', '23a8336e10f134c0', 'e2c5880586482c79']; context = [[222, 260], [104, 144], [91, 145], [8, 47], [73, 127], [6, 41], [19, 75], [0, 53], [1, 45], [187, 227], [21, 68], [20, 69], [153, 195], [3, 49], [94, 146], [3, 61]]; loss = 0.026228 low_pass_filter = 0.300
+Epoch 0: | | 19499/? [3:05:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 19500; scene = ['3083fb828649b8b5', '4e31a74c326af096', 'ca08c3e06b14333b', '0a610a129bdcc4e7', '5f89ae8d48b0cfa4', '797e58d60147a25a', '91530ea8f943b8c5', '33971d13212f9fd3', '3df240d45bf7aa2d', '0e93297772b0b4cf', 'c1a0a96099682188', '4b7f579ebbbc7d74', 'ca83086f7e41f595', 'f781ec56e81c99d6', '4107ea38eb047427', '2475d2724b2da534']; context = [[16, 61], [3, 49], [1, 53], [149, 205], [24, 62], [20, 55], [11, 57], [12, 47], [9, 54], [48, 83], [40, 79], [78, 120], [15, 55], [57, 104], [21, 77], [51, 91]]; loss = 0.030335 low_pass_filter = 0.300
+Epoch 0: | | 19509/? [3:05:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 19510; scene = ['b5bc98c13d36fe44', 'fef7fa5e5acc8c7f', '189bd7b2cdea8c39', '6ace98e323c6f352', '34554bbf6e317a9b', '3199458c576aed6f', 'f0ec6fde32d852f4', '865f1084bb5394ac', 'f7e299ca7ccbc897', '29eb7537903248df', 'c0cd96efb97299af', 'd550977e6ab72e54', '47261f4c960af669', '645a8988ce8fde03', 'e125136b4495509a', '4de4d4cc91401422']; context = [[34, 81], [38, 92], [18, 55], [91, 149], [35, 83], [17, 71], [22, 62], [16, 72], [96, 138], [11, 55], [17, 75], [27, 73], [43, 95], [31, 83], [28, 63], [41, 78]]; loss = 0.026982 low_pass_filter = 0.300
+Epoch 0: | | 19519/? [3:05:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 19520; scene = ['dbb576f0d9adf28c', 'c51bbe2cf79b572f', '06bb3e6123bee4e7', '4777dc29a1d20c7f', 'f98f1a15850aaed9', 'f7adcb2981b56215', '1c7fd25c56d97b41', '276c19248173dd64', '8cd4f583ad67b0d9', '007802ba570b907f', '1ee8194ce6a0bbf1', 'eb01f26d78c872fa', '35f3f48e1d677084', '252e1265b744051f', 'e51be7bc34a98b1d', 'c19d301b19745448']; context = [[69, 115], [17, 65], [67, 121], [39, 91], [10, 48], [17, 63], [14, 65], [39, 76], [7, 61], [37, 80], [14, 63], [84, 128], [15, 64], [55, 100], [32, 82], [52, 100]]; loss = 0.029415 low_pass_filter = 0.300
+Epoch 0: | | 19529/? [3:05:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 19530; scene = ['06a16655c8e8ad9c', 'a9936b77895f33b3', 'fb7776636c2a50b5', 'c5a85f680c4f9c9c', 'e378dacc43d0849f', '200175963adc6ac3', 'b68050a8ff44f93a', '3c6aa73a19631d61', '7ecce1053f19e8a8', 'f2b24232770db7e6', '3f48fe101049469e', '6e47e2b5cb626136', '23cb55a410296e98', 'd825d767d75dca20', '8aa9c11288e2f7be', '415660809150f2f3']; context = [[227, 268], [2, 41], [9, 62], [30, 82], [12, 63], [22, 61], [13, 57], [51, 95], [18, 75], [20, 66], [21, 63], [134, 171], [198, 247], [7, 46], [81, 134], [99, 149]]; loss = 0.030718 low_pass_filter = 0.300
+Epoch 0: | | 19539/? [3:05:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 19540; scene = ['bc3682ace399aad9', '1c76ccaab2f8a093', '2d8eae90ee1533c5', 'a667f1e8d9c8052c', 'c6395f5729950511', 'b51950afe84dd6e3', '471d05cb8b4bdbdf', 'dab103950a98ced4', 'b9fa9a93b6c71d1a', '83f6690418bf02c6', '9c11364f882e0711', '513b92157acf770b', 'e594fd14a8185723', 'd2e9788589f8e68c', '960b87d0c2ce86d2', 'b807a205575eb225']; context = [[25, 61], [136, 194], [24, 67], [37, 80], [33, 90], [43, 99], [7, 61], [19, 64], [116, 159], [15, 59], [35, 84], [24, 71], [116, 163], [97, 138], [26, 72], [3, 38]]; loss = 0.026427 low_pass_filter = 0.300
+Epoch 0: | | 19549/? [3:05:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 19550; scene = ['dccf91e2bca52097', '4651d4c3b87caf3a', '0ae58df051e6e444', 'afb2780ec2449b62', '267723fe1f811072', '03e8f213357b9616', '6d71b3b243c17a2a', 'adf6f584f6b81a71', '2de3d943aa0bf9e4', 'cf8fc3268c3034d6', 'e481020f14446686', '3e96e6f2c7c8826f', 'b4634a77e910fb31', '8e8093ea0dda5bf6', 'b19a7215b055242b', '63808c84d7b4507a']; context = [[49, 85], [4, 42], [29, 84], [13, 61], [1, 48], [32, 77], [96, 150], [0, 41], [69, 116], [18, 58], [81, 119], [19, 72], [22, 80], [164, 213], [1, 38], [8, 61]]; loss = 0.026490 low_pass_filter = 0.300
+Epoch 0: | | 19559/? [3:05:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 19560; scene = ['74ea3fba9bc2f643', '3f6f6c90783da13f', '770814423651553f', '89a157ea50b44d8e', '42e8ce77eb573d3b', '0f5d5b92ce2aca3c', '658a1b41b954b052', '60f8dae5645cd128', 'edd6edfb48780892', '830ae97d2cd7c39f', 'e512661bf75c3a7c', '85d1ef80ae3409dc', '3706add84fc44372', '0f714589074ad057', '0745d537fc1aec73', 'f9540970fc8a58cd']; context = [[47, 84], [20, 61], [4, 59], [6, 61], [1, 53], [62, 110], [10, 50], [43, 88], [136, 174], [10, 61], [12, 68], [15, 65], [2, 39], [4, 59], [155, 192], [59, 115]]; loss = 0.023993 low_pass_filter = 0.300
+Epoch 0: | | 19569/? [3:06:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 19570; scene = ['c2f4a9a48094a748', '5f29b6d60b37b94a', '3a4a10a316270e72', '5b2563dddb9d6035', 'b5b8801fce3a8754', '9c528e44da5e641b', 'd3aa865d26ebaa1a', 'b1f61faf9c2de753', '67303c1c83feffbd', 'd5fe718b561e0c6a', '778b53f63b254ece', '2392a428453da5e7', '98e6b98fd8f06caa', '92db89e50720951f', 'af402f8ce169e00c', '29d6a3513da47b2a']; context = [[2, 43], [87, 133], [21, 76], [20, 57], [14, 64], [2, 46], [152, 194], [31, 87], [9, 60], [5, 41], [75, 112], [137, 192], [44, 91], [4, 58], [36, 74], [149, 197]]; loss = 0.026649 low_pass_filter = 0.300
+Epoch 0: | | 19579/? [3:06:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 19580; scene = ['529d61d09bec94a1', 'd923a931e8582c3f', '0586a78aa1664230', 'b3d43f18a8fdc262', '75fc9c01915d3371', '781189313a86b8da', '4c80bb26bc9a9842', 'f5fed3643ddc5f5f', '1fcb1912100a1509', '9e70ce8046bae357', 'c3d002e9b4eb33d1', '0fe8bd24289accfa', 'ed95f4dca7ba49ba', '30d0ff523ab86200', 'd05d33bc65e5bc82', '65a0ff865cf34311']; context = [[7, 45], [1, 56], [20, 70], [28, 85], [93, 135], [133, 188], [25, 81], [10, 61], [60, 109], [50, 101], [48, 88], [65, 100], [29, 85], [72, 107], [14, 66], [0, 35]]; loss = 0.052008 low_pass_filter = 0.300
+Epoch 0: | | 19589/? [3:06:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 19590; scene = ['4053b2c1b94f9e68', '22fc661d65e41a60', '51f5ac0ee6167c99', '7680be94e005fde6', '9a38c7681395953e', '173ec6098bac29fe', '1013958b9d5a57fd', '757c2be20ce6cbb4', '4dc18688d7035c2f', 'e6a4c397f62687e3', 'b3c7ff644ba2c88b', 'fdd482edf0cbd37e', '83fe566272def272', '779a17b84e25feb6', '3bb7b286dee65826', 'dbe23dec6cf24911']; context = [[90, 134], [51, 95], [2, 37], [130, 180], [85, 141], [3, 44], [27, 79], [28, 69], [2, 54], [24, 80], [104, 143], [41, 88], [173, 217], [34, 69], [98, 152], [34, 70]]; loss = 0.028721 low_pass_filter = 0.300
+Epoch 0: | | 19599/? [3:06:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19600; scene = ['9c553c8d306581ae', 'ac26f59587002d73', '1d6150419fe159b2', '5dab864bd9c7d1ba', 'bac9ac17ee40a91e', '23c5fd8b2ee6b24e', '84a3c4bf31f6a66c', '72bc8ef5c2bab64c', '99a5b8917c62c1b3', '83b4e000823a3d5a', '6961b5dbb9ff9278', '7cfb95e305eef1a9', '2133d448d2686235', 'f6540401991f7640', 'f955ea0251fbcd9a', '568154cb9f9a9bf1']; context = [[11, 57], [20, 64], [41, 82], [34, 89], [12, 61], [93, 132], [0, 56], [11, 65], [0, 36], [7, 45], [95, 148], [22, 60], [201, 252], [13, 60], [6, 61], [7, 64]]; loss = 0.029175 low_pass_filter = 0.300
+Epoch 0: | | 19609/? [3:06:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19610; scene = ['8731e4f6291df835', '5d7cf77400ec9c60', '64738f5c93012be2', '4367d08eaaa983f0', 'b258d567622b6b49', '7f8a68eb0dfb0a1c', '8fd6c4c7f4707439', '581c49e2af966b76', '51bb0c8ae922384a', '175e51612f25a50b', '61b1d777f52e4daa', 'bc511cc4f1d7233f', '41e65eba2ca116ef', 'ddddc748525fe644', 'd8e286da30daba52', 'a9883648d75c17d9']; context = [[162, 207], [16, 59], [1, 39], [217, 274], [123, 166], [19, 58], [24, 63], [28, 82], [28, 64], [18, 62], [59, 113], [64, 100], [64, 109], [97, 146], [82, 117], [12, 49]]; loss = 0.029780 low_pass_filter = 0.300
+Epoch 0: | | 19619/? [3:06:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 19620; scene = ['96685d6fb541e340', 'd85b49bb1abf682a', '1603b78e8d5cb55a', '39056c1a044a93ec', '53cc170afd118008', '263271a1bcb631b4', 'bac9ac17ee40a91e', '72bc8ef5c2bab64c', 'ac26f59587002d73', '1d6150419fe159b2', 'b1f4bd04727375ff', '9c553c8d306581ae', 'fc44874b30bf3288', '83b4e000823a3d5a', '53599c2c4ba5c668', '99a5b8917c62c1b3']; context = [[56, 93], [11, 63], [45, 89], [53, 96], [33, 70], [10, 63], [4, 45], [28, 79], [26, 69], [5, 42], [9, 57], [8, 52], [48, 105], [26, 73], [0, 38], [5, 52]]; loss = 0.033517 low_pass_filter = 0.300
+Epoch 0: | | 19629/? [3:06:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 19630; scene = ['7c0b9b27b0221a06', 'bbf2783a7ab10d31', 'd7d21836042ec476', '8ffd3c9918714311', 'e6f21e41577a78aa', '419ab2ae0cbcc49d', '50fe95437cbf8ff2', 'e95581a829bf8d7a', '165bd1ee2bde617c', 'a9904976adc1707a', '135cc677e20df588', '34524c4a56295200', '094bcdb1f7a09811', '0635a3619c622723', 'ed53bf7b8e6dc9d1', '17dbc5c57640cd6e']; context = [[24, 73], [97, 147], [2, 47], [56, 113], [2, 54], [14, 67], [23, 74], [9, 47], [73, 122], [14, 55], [220, 266], [87, 123], [9, 57], [30, 81], [95, 138], [0, 45]]; loss = 0.047284 low_pass_filter = 0.300
+Epoch 0: | | 19639/? [3:06:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 19640; scene = ['027c1f8fdd9ddf10', '89acd0b6b3f8a2d2', 'e8bcc2e3fa0b3809', 'c8352778f6f46fd7', 'c3b965a5e39ef192', 'e106861cc56406aa', 'e951fc5b6d016a27', '42db3d96c3629828', 'fa3512cc1d8cc893', 'd0e19f4dfeb27a7b', 'f8902ae83b7ea77c', '2d9ee899b8de1751', '8082c23975ed106c', 'cf543fb043aa47f6', '223c174bc6709501', '48cac3e183debfc5']; context = [[10, 46], [189, 239], [105, 146], [171, 208], [32, 88], [74, 130], [47, 96], [66, 115], [124, 170], [3, 56], [30, 75], [27, 71], [0, 54], [1, 41], [19, 76], [178, 216]]; loss = 0.031596 low_pass_filter = 0.300
+Epoch 0: | | 19649/? [3:06:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 19650; scene = ['76dae941ffcc3e94', '2e2d0271a792d57e', 'db3b613d2dda8b86', '9cd0248a2fc79292', '76ee4ae91b2d6526', '7d8df2e4469efdc7', 'f0f9dc20febf63c6', '9a92a4070785e9b7', 'd6956a508357c234', 'ea21efe547c57ccf', '5629513f08256634', 'f79076ea1e30db66', '5f5f690da0e4ecbb', 'b5d2cca01af50b85', '3ab97fdbbcc240e0', 'dc1d3b4c937283cd']; context = [[67, 108], [184, 234], [5, 45], [19, 61], [146, 183], [0, 35], [113, 172], [127, 164], [107, 156], [47, 98], [20, 67], [0, 40], [50, 90], [12, 50], [4, 61], [35, 78]]; loss = 0.030465 low_pass_filter = 0.300
+Epoch 0: | | 19659/? [3:06:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 19660; scene = ['c7eb5da11af412d6', '54da02e4dd714f48', '2b624da94d6da68f', 'd50420b20607f2de', '5244fc9d5e9e355b', '0b61e5cda871bfcb', '0143864395cecb80', 'dde8845ccf64c76f', '9aaff40d2f0278f0', 'f08a49f7e35dd20c', '853c7eebbeca0d3c', '681604fdfd49a494', 'b3a97d27c519cdea', 'afb2a56969dfeb12', 'e4826c5ed7607257', '1deb23885f70a8ec']; context = [[66, 103], [39, 86], [27, 72], [0, 41], [1, 48], [2, 61], [22, 75], [1, 58], [1, 43], [96, 145], [11, 48], [2, 37], [2, 40], [58, 105], [26, 73], [54, 109]]; loss = 0.026652 low_pass_filter = 0.300
+Epoch 0: | | 19669/? [3:06:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 19670; scene = ['aaa35d5b558b2928', '651a8ebc3a8b53e6', 'cdaeee1e3b251454', '49dcef9a0f25a2c4', 'ad6996ece8de4321', 'a909eba2bcda6195', '0979d74fb6229f17', 'f4d5dd4c8d4152ee', '5e7feb40926004e4', '8a982eafda75f84c', '1c036369a68f1231', '3bcc68a17953c75a', '2681a222b2de8212', 'dca9298d29ad02c5', 'aa43846bd2c5e3bb', '8d7eb1bbf8729a14']; context = [[53, 95], [27, 64], [28, 71], [8, 49], [16, 61], [83, 119], [10, 48], [42, 98], [7, 49], [4, 48], [128, 182], [39, 80], [7, 49], [15, 61], [90, 143], [28, 73]]; loss = 0.024805 low_pass_filter = 0.300
+Epoch 0: | | 19679/? [3:07:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 19680; scene = ['839847f78aa7b6b5', '9ac7bed7b0a8b61a', '709108b3b7921a59', 'a87bd967231bd348', 'e2b98599dba68579', '1357d340440e8462', 'e180871351d3a437', 'b35553efd3f434f6', 'ee5ca9e0d233a884', '62dfdebbca369218', '546bd8e2d7bce1c3', '314e7a92a949625b', 'f356a31315da1ce8', '712843fc7700b401', '5764720de0f328a3', 'e54c3140f010a440']; context = [[81, 132], [72, 111], [119, 174], [4, 42], [76, 129], [47, 89], [72, 114], [44, 85], [63, 101], [12, 66], [4, 41], [57, 111], [33, 89], [0, 59], [6, 62], [101, 136]]; loss = 0.030099 low_pass_filter = 0.300
+Epoch 0: | | 19689/? [3:07:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19690; scene = ['14fc6c1ae5d22c42', '278a52723c725e85', 'f821abf27153e65e', 'b98dd6d8995428d5', '2805a4d6ca7fd6d6', '76b8409f953e5a0c', 'bec5fda37134a938', '1f8678091e653a51', '0df3aa54019f7377', '965f4c3a2e84ecc7', 'c56a58f09e4b6e88', '6ae24966d1f85a21', '25b1bf23672016bb', '82ede6655dea491c', '32d2ac72c9edfbf3', '1e088f1e02f4fc27']; context = [[3, 43], [50, 90], [1, 46], [16, 61], [15, 69], [0, 38], [67, 120], [185, 224], [43, 86], [20, 70], [3, 38], [20, 75], [10, 69], [6, 53], [23, 66], [44, 88]]; loss = 0.031335 low_pass_filter = 0.300
+Epoch 0: | | 19699/? [3:07:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 19700; scene = ['dd29ea4744d75985', 'bbb021e52b6ccc7a', '674ef826ca7eeb09', 'd199375842a653ec', '28ca1b6ece7702b8', '70d1c55ddcd4a753', '204e1d9acc813002', '6c57365cc119cce7', '8a57ec2b5a935cea', 'cd54ee699c89cf1a', 'c2623048da0b7295', 'e2a26c414b0a6c2f', '2dc50f13e83c2884', 'cba2dcb651b3f309', 'eb9827fd78c71334', '1990b72a5708f65d']; context = [[1, 37], [17, 63], [151, 194], [53, 111], [23, 68], [27, 74], [21, 78], [139, 181], [178, 236], [9, 44], [20, 65], [4, 59], [40, 92], [15, 61], [10, 46], [6, 56]]; loss = 0.027805 low_pass_filter = 0.300
+Epoch 0: | | 19709/? [3:07:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19710; scene = ['26d24a4ffa345a72', 'c2b493a3f453b580', 'eedf58408454e55c', 'f6b4b22a93e98fdf', '3d2b02d7e5640357', 'e75859b9da105e74', '13c92fcd6e77bde9', 'e656d52bcb246c51', 'addde38c57090b86', '128b26983c2a8c5f', '451456d4e8343e3b', 'd0f9b008f8269903', '234e288a65e0ea1c', '272f59817cb4a562', '0df8d4e3cd5241e6', 'da5de01cf7e41541']; context = [[88, 123], [26, 75], [170, 218], [4, 39], [19, 66], [4, 43], [30, 83], [16, 66], [58, 109], [1, 54], [139, 197], [88, 142], [6, 63], [41, 87], [15, 54], [10, 59]]; loss = 0.026054 low_pass_filter = 0.300
+Epoch 0: | | 19719/? [3:07:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 19720; scene = ['1e4b301e3edb5c73', '9f0eb311381bcfe8', '80577c02d0925e08', '3f324aa70bb1beb2', 'afaaa965312f0083', 'd810f4eac26218ac', '6a3f09ac3efff60f', '651a9f768e528c0c', '75a94c46c20c6c93', 'ccf427298e1906c6', '9a96e3934ac1f20f', '8df6a8f9f01e468c', '955983545a8add83', 'eb03f68ba74e860b', '7d3fb0628f79dee9', 'c001dd0eab98cdd4']; context = [[40, 86], [31, 69], [6, 58], [160, 205], [4, 41], [15, 70], [72, 126], [69, 106], [16, 56], [3, 62], [15, 68], [28, 74], [156, 199], [11, 70], [26, 84], [23, 82]]; loss = 0.030684 low_pass_filter = 0.300
+Epoch 0: | | 19729/? [3:07:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19730; scene = ['fdb6fe07b7177854', 'dda3ac5e6f3750a1', '3e30604f4534a8fb', '8cee9991d18c1f9b', 'ce83b2cb583c5746', '61b47f4bc7d7d615', 'eb0d89c323b8848b', '7d25a46eba7a6f2b', '69d48147d336abd9', '1d09d68c42cd89c7', '9b11721b160505e4', 'f7f3359cd5a72d36', '9b53b65f6589b449', 'e6acd6116662f723', 'd8373137a11e4c9f', 'b613703ecc554b02']; context = [[86, 144], [84, 131], [25, 61], [11, 54], [18, 63], [23, 76], [38, 85], [25, 73], [78, 127], [8, 61], [35, 73], [18, 55], [55, 90], [6, 56], [14, 70], [155, 209]]; loss = 0.027801 low_pass_filter = 0.300
+Epoch 0: | | 19739/? [3:07:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 19740; scene = ['fdd7f98d91350893', 'f2eff02be31d3029', 'b3e27733999713db', '4b9223f14a0809e1', '0f53e6296db0a94a', '20dfa4587a409364', '7bb57f9bffa7af3a', '434b3a30abfe4381', '356fbd4ee25801da', '1002982dc26ad241', '78adef3bb25806a5', '43cdffab4c6f1861', 'b7e0b9bdf95327a9', '7015660a6edcfcff', '62bd65e4def165cc', 'eb843846f25383d7']; context = [[18, 73], [37, 86], [11, 70], [16, 73], [50, 98], [49, 85], [1, 60], [39, 97], [56, 94], [1, 39], [20, 67], [23, 66], [104, 139], [4, 58], [48, 84], [3, 53]]; loss = 0.029414 low_pass_filter = 0.300
+Epoch 0: | | 19749/? [3:07:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 19750; scene = ['86c8ad41a64926cd', '064e73637f341df3', '8671a66efd56ff9d', '6fe9eaa94a71cd5b', 'ea31b004087c3db9', 'f141d7216dcdfc5a', 'd1f9017dee739f4b', '34c94cc634b3c15c', '7471f20705d68d02', '82ef35b5e9ab648c', '90132367d9ca79ce', '170d0c93b0d9d676', '50fe7212c3addd74', '8f5bed12aa7f02c7', '9dcd00af04ad741c', 'a07df00a165d15c6']; context = [[0, 55], [63, 118], [20, 74], [76, 124], [13, 70], [15, 64], [60, 99], [54, 113], [124, 169], [167, 223], [82, 137], [8, 57], [36, 71], [0, 35], [1, 59], [2, 37]]; loss = 0.026682 low_pass_filter = 0.300
+Epoch 0: | | 19759/? [3:07:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 19760; scene = ['c2f79eadd57323ce', '34b6c365004325e7', 'ed3ed04c4f00ecc2', 'e10e98248320de61', '194c9af6fe68a201', '29d34f66008704ff', '22caaa656c96d586', 'af41567300d173c3', '1d453783d85d79db', '3120a28bf2de8ce5', 'bce4a069332c60ac', '5aa26ed38a005114', '15ca67b5494b57c0', 'c290c8c23df38372', '57fadd61d10ba765', '00559a2a16636897']; context = [[12, 60], [21, 73], [7, 57], [51, 100], [115, 162], [4, 47], [0, 38], [60, 102], [17, 70], [220, 258], [52, 110], [104, 152], [7, 44], [182, 220], [21, 78], [58, 107]]; loss = 0.029025 low_pass_filter = 0.300
+Epoch 0: | | 19769/? [3:07:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19770; scene = ['a8c10c5aa79981b7', 'd54159912c53e80b', '4b1bee2132817957', '02df65abb7c0bfb0', '4157be3703b992c9', '506753022747f386', '4946a0355cebddad', '8f8db78b02cc1d0d', '6ba2f377a21c9425', '56a2ac4100abd798', 'c506d1287fc0bc4e', 'c23fe454bdf2aff2', '5f9a698522ab7afd', '6e77ffab3e66c017', '146061cae31b2eed', 'e8a0e1bd17e1c957']; context = [[5, 62], [122, 162], [71, 111], [105, 164], [64, 121], [112, 163], [42, 89], [63, 118], [19, 75], [79, 133], [1, 39], [36, 78], [33, 69], [6, 58], [17, 54], [159, 212]]; loss = 0.031478 low_pass_filter = 0.300
+Epoch 0: | | 19779/? [3:07:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 19780; scene = ['f73e525030617d22', 'c2c736c54d6b4374', '48c9bb29482ddf76', '274279bd6f815607', '593dfdee6abc704c', '4ca457ca633e17e3', '4c6b267e4c124540', 'd289541809be1924', 'aeb0a9a7ae4b838b', 'face86bf6353a397', '95522bc4e658c4bb', 'a60e4127f167ac93', '69596c7df4b9df23', 'f61b6261a949358f', '11a0178831a2ae2c', '7a40c2ec4e36880e']; context = [[48, 86], [0, 38], [24, 66], [32, 68], [11, 69], [0, 54], [98, 140], [38, 82], [10, 46], [32, 76], [115, 153], [67, 120], [34, 88], [191, 227], [6, 51], [26, 82]]; loss = 0.023274 low_pass_filter = 0.300
+Epoch 0: | | 19789/? [3:08:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 19790; scene = ['f8ae7d20daf890f2', '04d616768a5d52af', '650055898f2850c4', '1a3e5a1b44f8ff30', '9c7ec96e0cbf40c6', '68fcb7657464a25c', '53701cfab9d31b4f', '465f47645f47fc91', 'c5fd05e61423e739', 'dd26d8f5b166f274', '70c416d773ef02f7', 'd8d9bcbb2c20cda7', '824e8f2ce491283e', '7e266b3192651510', '25404e3588d54e14', '51a39b25696c0c87']; context = [[107, 162], [3, 44], [15, 51], [31, 83], [76, 116], [7, 46], [102, 159], [6, 61], [24, 82], [34, 89], [8, 66], [18, 73], [68, 117], [21, 56], [37, 86], [18, 74]]; loss = 0.025586 low_pass_filter = 0.300
+Epoch 0: | | 19799/? [3:08:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 19800; scene = ['7d7c1a7a22f3cb5b', 'c0eec9dd4022d2be', 'c09788a6db7d9cd7', '80f7cd2faeae14cd', 'cf25e28fc66b11bf', '70cbc47e6c79c801', '8f6d593dde943920', '7840f9ac4e9c77d4', 'db07a535a8c0aa7c', 'e6a11c57b6a665ca', '357bf45f08163f58', 'ef4ae395daf99f1c', 'c002e62e4fadef21', '2ac3bf31ddefb768', '6e265cfc58ee5e9e', '69e94c1fd190cc2f']; context = [[72, 129], [20, 59], [89, 134], [0, 40], [61, 110], [8, 50], [97, 145], [6, 64], [53, 98], [3, 59], [30, 75], [83, 129], [37, 91], [13, 57], [10, 57], [3, 52]]; loss = 0.022646 low_pass_filter = 0.300
+Epoch 0: | | 19809/? [3:08:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19810; scene = ['3914c72798afbf55', '351d1ccd07acca8f', '4f626955e18d7e9c', '26bbe9550ed68e33', '4ae568405ba121e6', 'ae8b750581750b0c', 'd887ff15fda99b2e', '11b228589e3142d8', 'e4101f73c4a93ba7', 'a9ceae667772df76', '4ad4191f28c4bd5b', 'c796ce41782dafc5', '44ae6eb084b5a39e', '0afe668d57616438', 'e3641bf1bb0eeacc', '56713b122d143473']; context = [[35, 92], [41, 82], [8, 67], [13, 55], [10, 63], [68, 111], [27, 86], [30, 84], [86, 132], [61, 118], [10, 46], [0, 37], [22, 76], [181, 232], [6, 42], [5, 50]]; loss = 0.031546 low_pass_filter = 0.300
+Epoch 0: | | 19819/? [3:08:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 19820; scene = ['f3861d7b58487efa', '417623781d50d924', 'dc541d55464d4055', 'b4f733d9be7b7182', '21810cdd510b3446', '86c2513b349c1bfa', 'e56faa3956de9664', '58dd91617d378543', 'aea600cf5857c796', 'e070e207b2a27686', 'd28dd035c45d7b06', '2faba19369f7af1d', '315d75f711d441e7', 'c7df75f0a22b9980', 'cd1b750af1701dd8', 'eeeef9bad8464592']; context = [[66, 120], [27, 62], [10, 63], [13, 57], [8, 66], [47, 98], [43, 90], [9, 61], [16, 59], [72, 126], [49, 99], [96, 135], [34, 82], [2, 52], [4, 54], [4, 61]]; loss = 0.027304 low_pass_filter = 0.300
+Epoch 0: | | 19829/? [3:08:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 19830; scene = ['dd3e295d87254211', 'c43f2afac41be9f0', 'c09f0974b1886497', 'ed03a5c85c48f284', 'f6cf7564dcf914a6', '4812a70132f58027', '5d04fab0c0b812c2', 'f06153597191997d', '07d4ca1dbb7321fa', '2a0224f9004eb606', '096e540f66383e76', '20538de137dec3a0', 'faa09c4a4bb3844c', '1d1753bbd2cfdeab', '5817c488b6a26b87', 'f4b7929261ffdccc']; context = [[23, 73], [9, 59], [61, 98], [11, 68], [61, 99], [227, 278], [32, 73], [0, 35], [2, 44], [128, 185], [28, 85], [45, 101], [50, 89], [2, 43], [11, 57], [114, 173]]; loss = 0.031988 low_pass_filter = 0.300
+Epoch 0: | | 19839/? [3:08:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 19840; scene = ['8676191d9cc1582c', 'c6954e6797e39fb5', 'f0d66da33527fd25', '357bc41b6ce661bb', '3694c47ce6c7f243', '00b9ce4411353d22', '9ed7375d50f00a3e', '031669cc955343fa', '9f1b2faec30849ef', 'a1d036299c796886', '0418bc556c8c2d2b', 'd95fb4c6a733d51e', '473151eff600d3bc', 'f7e40cebe23ebe80', '6566d57049fbcdc3', '5eb9fed9edc81943']; context = [[76, 135], [23, 63], [13, 57], [4, 60], [1, 50], [155, 202], [121, 162], [14, 72], [8, 66], [5, 45], [4, 54], [66, 113], [13, 61], [28, 80], [34, 85], [186, 241]]; loss = 0.028824 low_pass_filter = 0.300
+Epoch 0: | | 19849/? [3:08:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 19850; scene = ['1bc9b75ca097d2dd', '75e9a04fb0101527', '99443fb21068d0b0', 'e376a1ed39b04274', '7725c59a73f1f84a', '35f8034910257080', '4590c6d6a67a9be4', '7fb9af378642349b', '89d66a9c8a4ad0f6', '570d95baecec01a1', '014ea8547585c518', 'a1241cfb7cda3682', 'e6af38dbb509b438', 'f06deae3225e95dd', 'edd59428ff4a939a', 'b1563f41dea45424']; context = [[111, 159], [7, 50], [19, 60], [0, 42], [180, 219], [74, 131], [14, 59], [43, 90], [57, 115], [71, 128], [58, 113], [14, 50], [21, 70], [0, 59], [35, 71], [9, 61]]; loss = 0.024473 low_pass_filter = 0.300
+Epoch 0: | | 19859/? [3:08:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 19860; scene = ['e6e618b39c52caed', 'b25b63d8a5e5ce25', '490719eef95b0e50', '4d322621daca2ce7', '6f906f4748dd243a', '0510e6f8eba380f4', 'c9f78fa882799a27', '9e0aee54a72d5c8a', 'e80172408be42618', '4be78a34f5d97b64', '96c1754d9527cef7', 'c34baa7a466d6f17', '8094d6a3dfd3333f', 'f8179df095e9575f', 'b03df4c4382500a8', '191d93d539d59e6a']; context = [[8, 51], [0, 35], [15, 50], [44, 85], [163, 201], [26, 71], [4, 50], [0, 47], [37, 89], [34, 74], [6, 53], [27, 64], [50, 105], [77, 122], [52, 95], [24, 71]]; loss = 0.025314 low_pass_filter = 0.300
+Epoch 0: | | 19869/? [3:08:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 19870; scene = ['d4328b7d05b1551e', '31056e2cf25c5b94', '403865cbaa8acfaa', 'd9da7b0337345d3b', '3e0aff49cbabd07a', '8d07885c4025b4af', 'abd71f81b292d209', 'a5d20dc4aee7e64e', '8bc37f0e5297a486', '6e39991f48d99673', 'f3dcced9d38fa6c1', '4b6823a1112b87ff', '5f3e924963ab36c4', 'd3689d2f8bd82d10', '48d50fa60bf26802', '257ab5c1a83a0664']; context = [[12, 68], [54, 101], [62, 110], [74, 110], [2, 49], [176, 214], [51, 108], [38, 79], [172, 218], [22, 59], [37, 74], [4, 53], [4, 41], [9, 45], [22, 57], [14, 67]]; loss = 0.041054 low_pass_filter = 0.300
+Epoch 0: | | 19879/? [3:08:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 19880; scene = ['bc5f1d764f1c0257', 'e89671db250ccf4a', '888302379c70fd34', '32ac33e7248c994b', 'd23158e41df25c32', '02f2bced7693a878', '06b4ad8ba744356c', '658d1d5153bc693a', '416c57e30e349333', 'd32c485ee5e46e29', 'f73c9e294e458e79', '329c5e4fec7752fb', '638a7bac2753aa39', '268516a683b177a5', '20a314fca8085294', 'effccf76519de9c4']; context = [[9, 59], [11, 51], [48, 95], [3, 58], [14, 63], [2, 37], [3, 40], [61, 98], [84, 143], [65, 108], [12, 71], [40, 88], [3, 51], [9, 66], [59, 96], [0, 41]]; loss = 0.035757 low_pass_filter = 0.300
+Epoch 0: | | 19889/? [3:09:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 19890; scene = ['f72ed6e42de68650', '2ad10a10ef9c7fbf', 'de086bffb414572c', 'fedf0f2c8ce522e3', '43cb4612e252bc5a', '1a81722d05a00087', '72e7a362766453e3', '1f422061ac96b1eb', 'd22e085f998aa325', '28e8b02f952b3884', 'b5ab121f7a769a24', 'ff1a9e62152d18d2', '4da417ceb0d1c7ed', '6c8b264c8885d701', '9173f511f59175a8', '9bad3ae70b077f2d']; context = [[80, 130], [77, 119], [24, 73], [24, 59], [27, 76], [40, 93], [31, 73], [24, 59], [33, 92], [58, 94], [3, 41], [73, 110], [114, 156], [49, 108], [17, 65], [36, 74]]; loss = 0.026727 low_pass_filter = 0.300
+Epoch 0: | | 19899/? [3:09:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 19900; scene = ['c69e635efb9af3b8', '5dcf95219a40b46e', '7dfa29a40bbe8e56', 'bec4d71b7c7995ed', '14cb8b8217e05c7b', '8bcb48e9d7748a8c', 'e816595b84559b3a', '67cd18bf2128ba76', 'afa9df1446e5df8e', 'd24dad7b6836ed3d', 'ae8dc35121d72fea', '327f2feba6b8f044', '30a135d3ff9582e9', 'e2def0f395897d80', 'bf5e568f2fd566c8', 'eb7be33912a30b4d']; context = [[9, 65], [21, 71], [158, 213], [126, 185], [8, 55], [126, 165], [34, 86], [6, 42], [12, 63], [32, 73], [72, 120], [82, 119], [79, 114], [13, 53], [21, 80], [28, 71]]; loss = 0.025001 low_pass_filter = 0.300
+Epoch 0: | | 19909/? [3:09:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 19910; scene = ['7024b0228507c606', '848119dcfcf03f9a', '8c027881f63dc6f3', '58b7ae257fbaf6a8', 'dfc00e500e9b07b5', '1490c145692a1899', '34c2a8d43980e026', '342ff7b7111b53c1', '834e851000651b8f', 'f243736d9fd3db47', 'd740337a85eb508f', '3f771cd05baf3191', '4994f79523443d28', 'a8f03ba94fba80b7', 'db7a639eb376d2bf', 'f9ba6c7965a9d01b']; context = [[49, 108], [28, 73], [123, 168], [29, 82], [25, 71], [12, 67], [169, 226], [56, 103], [5, 56], [18, 69], [21, 80], [30, 87], [45, 88], [73, 123], [61, 117], [77, 134]]; loss = 0.029625 low_pass_filter = 0.300
+Epoch 0: | | 19919/? [3:09:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000train step 19920; scene = ['4898c8db920b9ac6', 'eec0eb22d6191fbb', '7472d8cddb4b57f2', 'e8de8997a5345b90', 'b7e4ff40776af958', '9a30d3c547f96fb3', '302517c267de5d24', 'ffa59b433b2648f7', 'ba3b89572ec36129', '31907a6ebec6ef2e', 'f1d926a3302e8534', 'a63ed71396ca3242', 'b60f8abb905bb1e1', 'b8bdfadb8f643024', '5e8442ca745fd217', 'c8e92789f25baec1']; context = [[41, 82], [220, 261], [21, 59], [23, 67], [80, 122], [35, 94], [159, 204], [195, 237], [38, 83], [55, 99], [154, 210], [8, 65], [73, 109], [14, 68], [3, 57], [143, 195]]; loss = 0.027507 low_pass_filter = 0.300
+Epoch 0: | | 19929/? [3:09:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 19930; scene = ['2c6974c8d0fd6426', '30256cd86380e985', 'aacf5d2fde59916f', '7a9685caea3ebaa7', '188b99642275e964', '00419dfa0b973e11', '0157cf2bdaa05486', 'c907383e19bd6b5b', '4138ec075d5e0fa8', 'f307d40c2056a111', 'a1bdb4b46cefa590', '46d0af2861fcfbe0', 'ec84ce0719717d39', '2de0cff7a63a8cce', '422a848d9b8e74ed', 'ce7a77654ed24cb3']; context = [[69, 110], [0, 49], [32, 86], [6, 53], [15, 66], [20, 59], [15, 50], [11, 47], [92, 138], [72, 122], [55, 105], [34, 81], [89, 134], [10, 57], [89, 130], [50, 94]]; loss = 0.028894 low_pass_filter = 0.300
+Epoch 0: | | 19939/? [3:09:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 19940; scene = ['a37fb46545b26cd2', '3e6a0e546092e5ce', 'ec5a3410978f01c4', '5aeea78290855b44', '3408234022293761', '1e543f770095bd2f', 'b511c88b16643809', '1546d04a6b9feb92', 'f67681804659fb89', '346e62ad09069013', '46aec7ec241892c7', '59220df676c7b430', 'f760b9c83e882756', '6fc73551f1244422', 'a1fad01a8c249fd3', '09adc9c073dcc81f']; context = [[31, 72], [0, 35], [40, 78], [37, 80], [25, 71], [12, 52], [19, 58], [182, 239], [31, 81], [121, 177], [25, 74], [19, 56], [8, 48], [0, 40], [150, 198], [123, 167]]; loss = 0.028419 low_pass_filter = 0.300
+Epoch 0: | | 19949/? [3:09:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 19950; scene = ['b9d775a543d2f100', '674af1e9c4cc9e06', '7781eb2ef392bc22', '15d9ab10d9e2c6b9', 'b546b62956ba47a8', '8bbd9f527f5b290a', '1400a54322d4bb6f', 'b19aa9f09dc75bcd', '231526021294c8a3', '59e2b5fe30f6f04f', '5afe72928b27eaf1', 'c6100bdecdbef80b', 'f70bb4d0420a0db8', 'e70318df450ef2d3', '09c65d81dc3077f9', 'a6e57377594a7a40']; context = [[11, 63], [145, 201], [46, 86], [36, 95], [6, 60], [8, 44], [153, 196], [7, 42], [8, 46], [206, 265], [6, 65], [24, 82], [69, 117], [10, 62], [16, 66], [30, 70]]; loss = 0.043720 low_pass_filter = 0.300
+Epoch 0: | | 19959/? [3:09:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 19960; scene = ['e85458f034fd2a07', 'a273c53ccc48f262', 'c0b57a0faa740fe3', 'b5bf6ea6e92669ef', 'ff3e826fadb9ecb1', 'eb3c751ec932aa1d', '5cc6cd5366cbbe2b', '8e17c90f00070f16', '0637e12cbe3bf018', '4f8a2a2eda771eb0', '889067f102772c85', '8847ec0cc3850701', '964b86c3822c6381', 'acb431ff8ce66742', 'eb490ca6a428e0e6', '752d39fb1c32fa3e']; context = [[156, 192], [131, 190], [13, 56], [10, 49], [62, 98], [2, 40], [106, 143], [25, 70], [14, 58], [6, 41], [207, 253], [3, 48], [32, 87], [13, 61], [15, 71], [4, 44]]; loss = 0.026174 low_pass_filter = 0.300
+Epoch 0: | | 19969/? [3:09:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 19970; scene = ['7567b089651c7646', '59b3c17420275035', '96714b3f3d968ade', '697f83e843f73081', '28d29dd6d33266d5', '4295bfc6ba13e9f8', '303b304d3a7f1741', 'ecd0d0bb2819ae9a', '07bfe0e0500de7eb', '87ffb21238d4c43b', 'cf705560e53638f7', 'c2e7607582fb8af4', '6c23d0b82faed662', '97db2dd2f407388e', '8c3f703203d7a3d5', '7b411e4c466f3a64']; context = [[16, 52], [0, 56], [50, 94], [28, 87], [14, 70], [94, 151], [29, 82], [22, 58], [0, 44], [79, 130], [7, 66], [1, 43], [234, 276], [37, 85], [4, 60], [105, 158]]; loss = 0.027651 low_pass_filter = 0.300
+Epoch 0: | | 19979/? [3:09:52<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 19980; scene = ['ede416a85b49ecf3', '7ca343c7d29b984b', 'be75bc0a2ba73990', '0bb6a72c60b3791c', 'afeaac19bebc10c7', 'f43f6c3aa827661d', '9fcde3fe23e549d8', 'f47277f7f51b6864', 'e095b406c6cbfb8b', 'fae7161bcb2e590d', '295f7411f92f09d9', 'a0326afa9415c8cb', 'd5dba29fb7878ed2', 'fea578cc66e55e82', '3a2d10fe0a31c3ef', 'a0ba9edd3ce2633b']; context = [[2, 50], [1, 46], [33, 90], [129, 186], [70, 106], [28, 72], [1, 45], [2, 48], [133, 180], [13, 48], [31, 71], [39, 98], [36, 71], [79, 127], [200, 249], [0, 37]]; loss = 0.031647 low_pass_filter = 0.300
+Epoch 0: | | 19989/? [3:09:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 19990; scene = ['bef3852ecab6980b', 'd78728ca5e6a3d20', '17d10f12b9a17023', '454d4c00527fcf0e', 'd713d22cd9d67c5d', 'c680b8bae58d6dca', '57826825f0963678', 'e98c5da727a44b15', '833c2edd626c81d5', '49cdc18c361f49a5', '00664b826ec082e8', '8e512604f4c371de', 'fac67aa77bcafd10', 'c474913aab1ebf5c', 'aa45fdff1cdb9838', '88486351f619919e']; context = [[38, 88], [6, 64], [1, 44], [19, 56], [1, 59], [7, 50], [3, 40], [146, 192], [33, 75], [9, 67], [132, 173], [182, 220], [23, 63], [6, 56], [8, 67], [15, 53]]; loss = 0.027077 low_pass_filter = 0.300
+Epoch 0: | | 19999/? [3:10:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 20000; scene = ['d6a17b44a2bbe185', '9f08547662d50ca7', '7e280a93383e4827', '508deca74f1d1a90', '04748bdf7ec98ec0', '53f93fe2b368ae6b', '7279c612c7891c8d', '9b68e8831852f60d', 'afbb6eb2dec560ad', 'c0f4f3288e64912f', '1edc85a2e96d99e7', '305d2e89064f2609', 'e1d9ade67e615bd8', 'fdbe9c444a760347', '287101ba74b12053', 'f8ca75c8aa649c3b']; context = [[0, 41], [27, 73], [62, 111], [170, 207], [13, 72], [5, 57], [143, 201], [85, 130], [29, 88], [20, 65], [0, 48], [8, 45], [4, 49], [53, 102], [14, 64], [10, 68]]; loss = 0.025572 low_pass_filter = 0.300
+Epoch 0: | | 20000/? [3:10:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000validation step 20000; scene = ['d7a7ddbaac9a3df2']; context = [[20, 72]]
+Epoch 0: | | 20009/? [3:10:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 20010; scene = ['6d3d022cd71a6c1b', 'e6510eaf44b146c7', 'd078b73e18eef725', 'e382b9bd1bb09aaf', '181442f5a6f77345', 'b33892623289ddd4', '91090a2c831fba06', '20234c1500fd5d4b', 'a9f872f9c38cf538', '8b0b551bb5fc559f', '36b14dae8e014698', '773a3adcad1e1df5', 'd4db2b68a221357a', '83d958616822ae27', 'af61461e40b625da', '44c1d7d26fae31c6']; context = [[11, 69], [25, 66], [209, 246], [105, 160], [28, 69], [18, 66], [43, 79], [3, 61], [68, 103], [5, 49], [18, 64], [209, 244], [5, 48], [91, 143], [6, 65], [1, 43]]; loss = 0.029466 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 20019/? [3:10:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 20020; scene = ['4411a6eb5a900e40', 'adbfdd15bb9409f4', 'd6443c4840318df3', 'd60aaaf09b0efb55', 'c6d6e4afbfc319bb', '9c9608ac2ebd5912', 'b058c50b953c20d1', 'b9aea5da640d739a', '46a0fbe5394eecb2', '3af30156efa35d09', '2c44579a8bd9c108', 'c96e9925624ada42', '229fba45626acb41', 'e8f861465ba60d8e', '95db38a93027169e', '86238485ae316522']; context = [[11, 65], [27, 71], [18, 62], [24, 68], [10, 52], [72, 129], [68, 111], [206, 265], [0, 50], [20, 66], [13, 59], [97, 153], [51, 94], [5, 56], [5, 59], [31, 89]]; loss = 0.039922 low_pass_filter = 0.300
+Epoch 0: | | 20029/? [3:10:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 20030; scene = ['3facfcb00b8697dc', 'cc62a8c047cea639', 'ca9bea80d4e5bcdb', 'a8bb6bdd8e1832b0', '6075fb811d2794e2', 'ba6b9051d2f9ac9a', '04f4d235d970d694', '29d7ac3298d00f4d', '069539334170c1c9', '67d9a8ec0e4060db', 'd0920dbaced16c29', 'cf6bc43fbf8c8dd2', '16166f53500a5dc3', 'bf823878e0d74fc9', 'd09b82c6b4496a66', '07ff09ea4dfd63ce']; context = [[33, 68], [27, 82], [20, 73], [17, 70], [14, 50], [4, 61], [3, 50], [86, 122], [126, 185], [81, 135], [18, 66], [18, 55], [15, 74], [122, 164], [45, 81], [102, 140]]; loss = 0.028879 low_pass_filter = 0.300
+Epoch 0: | | 20039/? [3:10:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 20040; scene = ['600e0fb99c2b3817', 'db52871fc7ca0bfd', '6f4019062371b8fe', 'b14338773e321e61', 'ca62e7774f3d688b', '98d35dadb621cdd3', '46098a3607b75cd0', 'e4353269f69c4e0f', 'fe2250f23e91261e', '56f34e5d22caa2dd', 'f744455fc964a260', '036fdcef477396ee', '736a2b17f44a2c36', 'cc08397f41911501', '5ada0c55bc109cbd', '80e6fa6ebabd2b5b']; context = [[18, 60], [214, 261], [7, 50], [1, 59], [68, 105], [7, 56], [107, 142], [45, 83], [66, 110], [181, 227], [47, 103], [65, 108], [8, 59], [0, 35], [0, 39], [127, 175]]; loss = 0.028504 low_pass_filter = 0.300
+Epoch 0: | | 20049/? [3:10:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 20050; scene = ['b118cb6e30400e61', '8876364a9d69559e', '9f85e10629380769', '9c61596b022e98b7', 'da274c0e6e23f8ea', '0362bc618a029222', '7f8cd1f3c9acb8f8', '1250e0831ff05593', 'e3e252f0494ff061', '83496ae8367a6c96', 'c2b2d238f9214068', 'ed35350baa1d1fb2', '0d1c5e5e77dfc06b', '3c9ad99cce6558da', 'd4bd2dcc63c5ea54', 'f44a0546760ccdb6']; context = [[1, 42], [2, 50], [156, 209], [36, 77], [0, 50], [20, 79], [67, 102], [115, 161], [64, 102], [54, 92], [8, 57], [4, 41], [16, 71], [14, 70], [0, 53], [9, 60]]; loss = 0.031874 low_pass_filter = 0.300
+Epoch 0: | | 20059/? [3:10:38<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 20060; scene = ['2fe474f8e633fcae', 'a91843042087bd44', 'e686e219362ed1d1', '9a11535036e869fa', '7ef560e3c9ae96ea', '5dae4aa06fa6e450', '30ce8420831f89d7', 'aa28a8cd478c897f', 'fe4cc085e4b2ddd0', 'e73ec3116cc77547', '32936b5443076f5c', '5013ce0333bfd2cd', '1c0f40cd04838650', 'e6c1977d9abd484a', 'c28f5b0713ea8927', 'a4c42be1726162f2']; context = [[27, 83], [122, 178], [11, 65], [98, 142], [123, 160], [1, 38], [4, 59], [31, 82], [13, 60], [36, 73], [0, 56], [6, 53], [15, 55], [1, 37], [9, 47], [29, 65]]; loss = 0.022979 low_pass_filter = 0.300
+Epoch 0: | | 20069/? [3:10:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 20070; scene = ['e8e6ca08b21ace12', '1589e0b2e2f6bc28', '1a0b5e0311249585', '8f49666ea364c87f', '81b7da3eb2d6642d', 'b2ba6e81e399aa61', 'd100bb50d05c7d92', 'e26f48e491fe3476', '9b6f1ed8d2c66f6d', '5f5147941ede5f85', '5e8ece99efe2eb25', 'a352af29cd3f9b5d', 'd4359d470cc6a669', '533581de8e66b1c9', '9e93f8bfdab92af6', 'ff39c33e82c43f98']; context = [[179, 238], [39, 85], [5, 58], [130, 178], [69, 121], [0, 47], [77, 117], [109, 145], [22, 68], [150, 193], [8, 58], [63, 103], [16, 53], [20, 61], [31, 66], [15, 56]]; loss = 0.031835 low_pass_filter = 0.300
+Epoch 0: | | 20079/? [3:10:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 20080; scene = ['2317fbb490ffe046', '43c4db038bb72004', 'e003c7d69b73e632', '2e887f0103cfe378', '4c1dd38ae1e23da3', '033c76a9906e82b7', '42d7cffaa558535f', 'd2bf6442537983a2', '6864771ff3d5b8c9', '701faabd3c58ab57', '4b147fb33539c4b3', '60456fe57a0e6b46', 'b636c05273b23b17', 'f0f0bcc851a036ef', '668011916dfc9762', 'b2a571084dfde71d']; context = [[3, 47], [68, 116], [70, 121], [51, 92], [25, 67], [52, 100], [24, 83], [5, 58], [6, 48], [94, 141], [24, 72], [219, 256], [188, 229], [46, 84], [23, 58], [113, 156]]; loss = 0.023985 low_pass_filter = 0.300
+Epoch 0: | | 20089/? [3:10:55<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 20090; scene = ['f61f928ea81ba540', 'f9cc10023bf41280', '0f80349efadcafcc', '86127a9af654d2e4', '5049cee4405f0947', '7d30d61c78c62100', '9a627851326f1285', '490a8076c6258f22', 'c94cf15b6b2c0cbb', '9013b11d34b0ccfe', 'df66e69d5b28c954', '2b2dc9cd1a3408e0', '55ab1f69eca7f59e', 'a817b56dacef46b7', 'b8acc0dfb0bc4b1e', '4967b75401615e71']; context = [[37, 76], [15, 58], [96, 138], [12, 64], [3, 47], [32, 77], [78, 132], [40, 83], [4, 44], [23, 63], [5, 58], [70, 124], [123, 181], [3, 44], [21, 70], [2, 60]]; loss = 0.025940 low_pass_filter = 0.300
+Epoch 0: | | 20099/? [3:11:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 20100; scene = ['9c99ea6fb0609c14', 'edcdfad297756b43', '65f32069136de1be', 'd79b084da2f40032', '983944b4dd64677d', 'c6ddb4bd6ef6f42c', '27b292f550476cb1', 'd476c136d6fe6cd9', '8a11b9190b9c768c', '0e57d2d8655afebb', 'c2c54fc36968cda8', '979258bec9c70a3a', 'fea5962ba2801a13', 'cb737f7107cee760', 'b6e89f7809809f76', '9054ce433694ecb3']; context = [[42, 84], [89, 136], [135, 172], [3, 58], [23, 62], [33, 68], [126, 185], [33, 72], [7, 52], [28, 64], [15, 54], [99, 157], [90, 128], [79, 136], [0, 38], [117, 160]]; loss = 0.028933 low_pass_filter = 0.300
+Epoch 0: | | 20109/? [3:11:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 20110; scene = ['1270b643c052a421', 'c1d702f24b2f7bfd', '2cd702dc4fdef4a4', 'de561e02e852ac64', '89dbf48fc8772aae', '7d7b8d02fa56e811', '541275236e1e56fc', '4312d4f72401aa43', 'e7dfd4fc097e0d5a', 'ab7f018f21bef342', 'cd83136b559517cf', '642cf78c4fa0ef61', '542540d922d01209', 'cf4a0213f57bed85', 'ce418ca65922b5bc', '316afc5161bb6b7b']; context = [[116, 159], [10, 58], [54, 92], [182, 236], [141, 179], [176, 227], [6, 59], [0, 38], [82, 120], [8, 49], [13, 70], [3, 38], [7, 46], [84, 124], [55, 108], [121, 161]]; loss = 0.032120 low_pass_filter = 0.300
+Epoch 0: | | 20119/? [3:11:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 20120; scene = ['0140a870ef2c2828', '7254198da88530f3', 'a2231598b3becba5', 'a0eff2ed6dfc0743', 'a9b70dd896f7e8e9', 'b995a8f12125ac6a', 'ca6f03e8f08e0069', '1a76ad73eecd0b91', '15646b7173d4f18e', 'd78014308656fcca', '41c352f47d88eab4', 'e5c8b67170a5bba3', 'c80daac3b10f42f6', 'e67e76536d6b86f4', '43b0af4992345e28', 'ad09be69e08a8e3e']; context = [[112, 167], [10, 59], [55, 107], [6, 50], [71, 129], [17, 60], [2, 38], [13, 57], [7, 42], [48, 90], [11, 62], [99, 148], [10, 51], [46, 84], [2, 49], [92, 139]]; loss = 0.024852 low_pass_filter = 0.300
+Epoch 0: | | 20129/? [3:11:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 20130; scene = ['eecd754ee0bdbffa', '75a2928db20842a9', '8bfda6dd800bc537', '0df9433279ae82ed', '0264ca87939bdad8', '8c5631db3ddeeea6', '9cce8e627c0477c0', '6025e08ac83ecb9c', 'd4dbd82a6e8644b6', '0627e25459335cf2', 'be3aa9d65f0de1bd', '6a6c5a32f8f02bdb', '04f63588697b6364', '90d01e4b8ee39f77', '8db3a405c4842cd6', 'a0a17e9730912ca7']; context = [[5, 58], [39, 86], [0, 37], [141, 184], [18, 73], [10, 57], [0, 55], [1, 40], [49, 99], [24, 67], [43, 78], [47, 92], [231, 271], [41, 81], [218, 254], [0, 37]]; loss = 0.029037 low_pass_filter = 0.300
+Epoch 0: | | 20139/? [3:11:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 20140; scene = ['d77406fa7f3b9835', 'bd4700646e17b05f', 'e7502de958354176', '5d2603f337f55a8f', '7900bb6a5dfdbb71', '4bf31225bd69a6c2', '74b0451ee6b6e4e2', '1167e6a2323300e2', '107c1da31e57f630', 'c633ee306fd04085', '350d6a093aba92ff', '9cd867f121e491ae', '6b6ecd758a2161af', 'df03ba10b66f2473', '5e041af008e49e96', '6662695dfbebb0f0']; context = [[1, 44], [41, 84], [30, 85], [42, 78], [2, 53], [19, 64], [59, 113], [50, 90], [224, 261], [143, 194], [46, 83], [12, 48], [51, 87], [229, 264], [26, 68], [66, 117]]; loss = 0.029907 low_pass_filter = 0.300
+Epoch 0: | | 20149/? [3:11:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 20150; scene = ['4f85fe35e5fffe6b', 'f47a5658e4a6e838', '4caeaf8d27b8dc35', '446e2c9f02922ec6', '704056e57542887d', '9ca3da2b888903ab', '7f9fc192d813b6e0', 'cb44c69779b70207', '1e7a40e218244c8e', 'd61c0c4ab6c707b1', '1ad460e60839641a', '1a0bd5daf36cc951', '926d9f0514c9c5e8', 'd8fbfd6d2a652f47', 'fe50cfbbdd716600', '67bf61a416fb50db']; context = [[93, 151], [27, 76], [7, 55], [25, 70], [7, 43], [124, 164], [1, 44], [1, 37], [55, 102], [3, 42], [6, 52], [132, 173], [12, 70], [199, 256], [58, 108], [128, 175]]; loss = 0.027178 low_pass_filter = 0.300
+Epoch 0: | | 20159/? [3:11:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 20160; scene = ['7bd870f9b2a9a6f7', 'a52873b76bc23753', '4b4595fc1f5b6c16', '2a7e2f0d4cdc616f', 'fb24be782eb32285', '9afe6cdc099af409', 'dc7460e98b4f2f1f', '9241c3ab4b558671', 'fa56f3e15fc4eadf', 'd9dfd39cded81c04', 'bc521d4b43740651', 'e94371dfe35d248c', 'e21b4e75f77765c5', '8833a34d9a034495', 'd05247944f04d2fc', '687e1775ba2acdd4']; context = [[55, 103], [50, 96], [14, 50], [25, 63], [211, 265], [27, 64], [23, 58], [12, 57], [13, 66], [132, 189], [23, 73], [10, 55], [164, 211], [9, 58], [78, 126], [21, 80]]; loss = 0.024009 low_pass_filter = 0.300
+Epoch 0: | | 20169/? [3:11:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 20170; scene = ['4f07c7aeda6dfd54', '419b6989160e3606', '5ca47925cdd3c7ce', '5816deaba41a899d', '246a0bdee01d12f1', '82c4af6d697ddba5', '6dc6bdc8ea4b6034', '963389198f0d43c9', '28666c8512c4c8a4', '19a84a67a3a07e70', '06e13bbcd45d9b41', 'c8c8ce39dc4c58d0', 'a967ab2ced4b1bc4', '654d07e5521de19e', '4d35d640d775aea7', '6b19a5bb419f101f']; context = [[74, 126], [14, 68], [54, 92], [7, 56], [3, 51], [39, 78], [17, 70], [18, 62], [18, 71], [12, 61], [5, 41], [8, 62], [104, 158], [131, 170], [32, 76], [17, 64]]; loss = 0.029038 low_pass_filter = 0.300
+Epoch 0: | | 20179/? [3:11:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 20180; scene = ['f729e9559d43b363', 'cfa5770b4506e3f4', '680c110fec1cfd6f', 'c5f15655a223ac6c', 'f1af5a215bbc3f33', '2c6df89c1fb2b8fc', 'a7487544a702062e', 'ae8b9ebca8a85d7e', 'f8249602f2e057d8', 'f6150b6900398acf', 'e939f7ae5c1822f8', 'd251cc493cf50645', 'adc119d9d46d217f', '991d2cf2ac0c4e76', '7b14ccf9db4da2b2', '719ca54ffc1f65ca']; context = [[3, 46], [7, 51], [8, 62], [89, 124], [5, 54], [13, 62], [133, 170], [129, 164], [40, 85], [24, 72], [119, 172], [3, 50], [163, 216], [35, 93], [16, 64], [142, 177]]; loss = 0.032578 low_pass_filter = 0.300
+Epoch 0: | | 20189/? [3:11:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 20190; scene = ['7c710ef6368c4455', '9d4c14c422d92f43', '7a72da90f59e10b0', 'cd0fd8b0c6223804', '0132c785e29d4afb', '8f04ddfa3b4e7c25', 'a10eab118e2d8654', '287641eb154f6cce', '83e1a42fa8e4b9cb', '91e8bd693b1e76f5', 'deb61a82ce6f4cff', 'dea4dc2d8a2935cf', 'b1f32a7b0a8e25ce', 'b6509b872612bbbe', '83149280823506aa', '7529ef84b12cd05c']; context = [[83, 119], [142, 191], [60, 106], [28, 81], [26, 65], [44, 86], [91, 131], [2, 59], [27, 70], [15, 61], [11, 63], [53, 89], [104, 143], [218, 264], [4, 40], [95, 142]]; loss = 0.024398 low_pass_filter = 0.300
+Epoch 0: | | 20199/? [3:11:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 20200; scene = ['7fe66601858b37dd', '864d89232a34ffcd', '39e8cbb0f678f5e3', 'c1b5b7779a98027d', '63cedce5caa10d40', 'd4f9b7f5a436bc5e', '5c140178a8c1b76e', '181157826ea13ab5', 'bf48f07f09565e35', '9adc772b1760c9fd', '1042daa8f8fd2955', '658d5216501736d5', '41cf7931d87820c2', 'ff8115bfa598e4a3', '1c75685f0307f79d', '9e299e04b20c3f70']; context = [[160, 197], [37, 92], [19, 70], [5, 62], [26, 66], [125, 164], [15, 56], [0, 53], [190, 244], [19, 75], [22, 80], [80, 120], [74, 116], [33, 76], [42, 93], [82, 127]]; loss = 0.024837 low_pass_filter = 0.300
+Epoch 0: | | 20209/? [3:12:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 20210; scene = ['fd37077f26b2bd87', '6be432fd4ef65e77', '023e9c9e3f381121', 'b072428b6db26547', '971b496fff5cb3b1', '7e32519bb8c8a4f1', 'b21dab4d75b377e0', 'd16e693b39fee4f8', 'a8946be78cc27901', 'faf6c0d78caab665', '886cf71834c893e1', '04d9e3e49b653d3b', 'f3861d7b58487efa', 'dc541d55464d4055', '479e6171f5b44aab', 'b4f733d9be7b7182']; context = [[211, 268], [28, 82], [36, 95], [25, 62], [33, 80], [10, 67], [16, 71], [77, 115], [71, 113], [86, 141], [72, 121], [11, 60], [33, 68], [14, 71], [200, 247], [0, 51]]; loss = 0.036370 low_pass_filter = 0.300
+Epoch 0: | | 20219/? [3:12:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 20220; scene = ['93811e2babb269f8', '8b07d5cbddffc388', '3b69ef80fa685760', '40beb4ffba187851', 'bfd9cf9aafa2649f', '2997c820822d35fa', 'c01afd493729aede', 'beeeca1e5a21b7ec', '07db89bb67a7d95e', 'e8721dd467df39d8', '179fe929b342c292', '2316b4d8d41df4e5', 'f5cbf62c5cd3d71c', 'ca763356c13cda22', '44e3e8bf1a3ee95d', '172fccf6211f3546']; context = [[7, 57], [73, 124], [14, 55], [10, 58], [8, 58], [7, 44], [12, 51], [32, 77], [1, 57], [4, 57], [115, 154], [20, 62], [34, 69], [44, 80], [9, 64], [1, 41]]; loss = 0.028661 low_pass_filter = 0.300
+Epoch 0: | | 20229/? [3:12:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 20230; scene = ['4f7532c456da3acc', '2734378e18626d7a', '5fb40c3519777379', '3bc79c5d0bf9c88b', 'b05564e4b802c368', '8799a3d452838202', '419df3725ae6b251', '31e146de4abeff58', 'af22175268b0ce2f', '91d9a7051e5c44df', '690dbd2a050fc8b1', 'd53082142bd30277', 'c089e82911932fcd', 'bddd22a07ebe76eb', 'daa16a27a16f6c9f', 'e37b686fba91f36b']; context = [[38, 74], [16, 75], [28, 70], [11, 66], [10, 48], [82, 128], [17, 61], [49, 96], [3, 61], [0, 48], [12, 49], [110, 160], [67, 106], [87, 146], [95, 132], [49, 101]]; loss = 0.027845 low_pass_filter = 0.300
+Epoch 0: | | 20239/? [3:12:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 20240; scene = ['bfcbf333b49f18c6', 'fda1c7094e4c7aea', '3a7b5cc29e973477', 'f155a73f9c735fc0', '61fb19d88faf3727', '04cf42b492af5834', '59a755e113475d15', 'e67aba7b8bf42f3a', '1b85a629e75682d6', '999340d07b3c1f01', '5dd18bd3aecc231e', '40e9ec6b7a21c085', '4e67fc174708df14', '2b4f1b4f81af6d3a', '45808a247b33e98d', '88fc713296fff1ba']; context = [[66, 116], [0, 38], [90, 138], [14, 68], [13, 70], [14, 57], [2, 42], [224, 278], [137, 181], [0, 44], [20, 69], [65, 125], [20, 72], [7, 45], [132, 177], [19, 70]]; loss = 0.033217 low_pass_filter = 0.300
+Epoch 0: | | 20249/? [3:12:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 20250; scene = ['de95779cdbeaa19a', '9c595a0f46169c48', '8e4f26e204962462', '776f9105ae37722c', '785b34dd2c077fad', '1f0353d32c568894', '53700a49e8dbf513', 'fe85b3be4adb42aa', 'adf73db30b5dc7ff', 'd516ec3d191a3e16', '0e1d3e59eb57c68a', '09cf1e30423647ae', '3f0528f2b55ab8eb', 'b06c5aa13f090e60', '253153df3fdc6a09', '3ebd8daae5562547']; context = [[39, 96], [9, 55], [0, 41], [38, 98], [36, 94], [4, 47], [73, 126], [2, 53], [152, 190], [116, 175], [100, 137], [88, 128], [88, 134], [66, 124], [21, 56], [25, 69]]; loss = 0.022717 low_pass_filter = 0.300
+Epoch 0: | | 20259/? [3:12:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 20260; scene = ['42bf466eb53eb628', '9212687eedee9127', 'fcd85dc0996790c4', '7c276e875b3fa027', 'e161232ffdc99b89', '8b3f5f7e9edd3d7b', '2687eeb202adae47', 'c7f53e68982d0bc2', '12310e5bf841a4c8', '85b4a5fffd9dddcb', '2037d4aa4065bd1a', 'eb8e09fe06c88ef0', '635320fbf02d95a5', 'aaa438a286926797', 'ade76d3a60591534', '632b29939a5f9e22']; context = [[9, 47], [166, 205], [17, 66], [148, 184], [188, 241], [92, 148], [191, 235], [53, 88], [53, 93], [171, 229], [14, 69], [5, 42], [10, 66], [23, 69], [65, 101], [57, 92]]; loss = 0.023150 low_pass_filter = 0.300
+Epoch 0: | | 20269/? [3:12:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 20270; scene = ['d6211fae193ad931', '0a11dd9556fc99b0', '88c708a41a1fb05d', 'c35caeecb39384c1', '0f819dc526c6789d', 'edaf19c032358e0d', 'ef4a031cc59eba0c', 'd9641b3f6ca0b13d', '6db959f1787dd868', 'd2086a2d8ce2a6fe', 'f5931cc439781222', '9f622f50132c1efe', '0d4ae3101bbba58d', '1ebafcd97626e04a', 'd9046310390dcaf3', 'a33629c64ce117d4']; context = [[180, 225], [42, 88], [4, 54], [65, 121], [15, 61], [91, 151], [82, 118], [0, 44], [7, 63], [12, 69], [33, 92], [184, 223], [25, 84], [64, 99], [0, 38], [53, 95]]; loss = 0.025896 low_pass_filter = 0.300
+Epoch 0: | | 20279/? [3:12:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 20280; scene = ['417a1b0f11a38cb6', '9d87291c4517b496', 'c5067fed187ef5c0', '5014fb135ed72420', '93d6fe08c5fe3965', 'df87424ea7d30296', '0d00b18b284e51e2', '152bfa6dd2ed2d91', 'fef25b6e3dd7df54', 'dfab3206eb0221fe', '4b2f6642fc295553', 'bb7ebd1a4b790368', '5af820514cb6e04b', 'da00b7213105b4a8', '028130721962d51f', '7ccc290152046a71']; context = [[127, 175], [70, 126], [2, 40], [36, 78], [5, 40], [10, 46], [153, 205], [8, 50], [3, 56], [57, 96], [0, 54], [2, 41], [16, 61], [26, 64], [48, 95], [3, 40]]; loss = 0.024395 low_pass_filter = 0.300
+Epoch 0: | | 20289/? [3:12:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 20290; scene = ['1f6b10c1bfeab825', '56a0da3c4605e004', '83bf7f4e33c13400', '71ffb1e88c266788', '540cefc32a23b152', 'f353f0555d221d44', '0345af360bac9020', '699a3a31be12b40d', '12601c791bc30f82', 'dc6a613063a7f16a', '83a8808c79184009', '6f29c6e5920ebf58', '15076bf2743d9c16', 'b2af46dfc30a2b98', '6a6b21039f51a4d2', 'ac74ac4b166c0b87']; context = [[0, 46], [75, 134], [54, 113], [53, 90], [55, 105], [33, 81], [28, 85], [13, 68], [89, 129], [14, 73], [5, 48], [0, 37], [70, 107], [9, 69], [19, 74], [19, 74]]; loss = 0.027262 low_pass_filter = 0.300
+Epoch 0: | | 20299/? [3:12:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 20300; scene = ['8a77f5585ce5752f', '06a2001efeb03954', '0c915dbc5d322181', 'e7279e6ff17beb19', 'aff09937b9aceadd', '09084eaaea8410d0', '20376d6cd004dc85', '5aafb483348af165', '9b407dc89eb0d132', '06760519c5863518', '6deb6d851cbe8819', '3f3798b2d6189128', 'e5256348345ed524', '417990eccd6d0bbc', '3cd15943d0e0ab77', 'eabb7f7c8e4b4f15']; context = [[9, 63], [5, 45], [83, 136], [99, 148], [68, 124], [21, 59], [31, 75], [96, 144], [87, 146], [9, 56], [23, 73], [29, 72], [5, 45], [0, 43], [8, 52], [7, 62]]; loss = 0.023347 low_pass_filter = 0.300
+Epoch 0: | | 20309/? [3:12:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 20310; scene = ['5578bed0fb36c89c', '2f19a454ec1f7a71', 'e258e863df25ba2c', '405e78c705fa28fe', '2512655496873dd9', '06ad777bfa7631a4', '1fd3d6918b5f5e32', 'e82f04c31c257d70', '16e92460b0a30c1d', 'd2a261ff1f2f061c', '87a8b7a70aad40bf', 'f760f01e89c53799', '28c9e70c95461472', '0ff9bf7b8f816f21', 'b625745c894edff3', '2d7089ba8d2769aa']; context = [[72, 132], [26, 74], [28, 88], [5, 45], [145, 193], [70, 127], [13, 62], [15, 54], [41, 101], [13, 65], [102, 144], [13, 73], [24, 68], [6, 51], [49, 91], [25, 82]]; loss = 0.026183 low_pass_filter = 0.300
+Epoch 0: | | 20319/? [3:13:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 20320; scene = ['f1ac0dde0dbf8211', '622ab7cc0a735367', '7671960ab3e573fd', 'b1a1f230d848de42', '5bb3babdc48efe4a', '7a2844b5e0ca5120', '189366a33885235f', '4290b20ce8737842', '9818f405d4141244', 'd02ff663fe8c426b', '0a73ef739700242e', '9a54201f9e2fd9ea', '6c46572e24efcbad', 'bbce012515d4884d', '6a13585caa18b99d', '3b601d4d89307614']; context = [[213, 248], [7, 64], [15, 63], [25, 80], [62, 120], [101, 159], [83, 140], [20, 66], [205, 246], [5, 44], [34, 85], [5, 44], [41, 98], [42, 88], [40, 88], [101, 141]]; loss = 0.027990 low_pass_filter = 0.300
+Epoch 0: | | 20329/? [3:13:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 20330; scene = ['613c8ac8e1030890', 'b7b53829ba5730cc', '0492445f09a9bb4b', 'f21a7befa707b6bc', 'e209ce84271a5f43', 'd4ed01f3e0cf2c47', '9cf8e1b5c06a9275', 'c6aa24612a23dba2', '45aa7021f1864ed8', '9b7873876f84ad81', 'a797e66eee67e4d4', 'ecc71f65b80936ce', 'a75907c57ea65d77', '6f20563d957bd129', '92b06be9f462e68e', 'c6fa4e41f75c901c']; context = [[13, 69], [40, 77], [64, 102], [15, 66], [27, 68], [169, 227], [72, 128], [80, 126], [30, 74], [17, 72], [4, 41], [6, 64], [48, 83], [81, 134], [12, 63], [0, 49]]; loss = 0.028181 low_pass_filter = 0.300
+Epoch 0: | | 20339/? [3:13:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 20340; scene = ['1c23077bfac5fdfa', 'd98478061d8a24ef', '765cf0000db9cc0b', '73c530db1571a040', '3ac9999cdd9d2c26', 'e61566ae677446b3', '5355da26f7f618a1', '24d703f1d6b51f19', 'e5a7abc8fcb39e95', 'f9611b5d473cc69b', '2f2cb2d5c31f0930', '8e583ba05f91d104', 'a353c5323b7e0cb6', '65fcc745c824ba33', 'b12fb462071f1eec', '4cfeb43c09889585']; context = [[47, 97], [5, 61], [56, 99], [8, 68], [30, 82], [32, 68], [61, 116], [7, 67], [19, 61], [12, 69], [12, 64], [73, 113], [33, 89], [32, 69], [7, 64], [19, 68]]; loss = 0.027648 low_pass_filter = 0.300
+Epoch 0: | | 20349/? [3:13:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 20350; scene = ['62d410d4c07c6e22', '2e2d0271a792d57e', 'db3b613d2dda8b86', '0e9e8dd84bc136de', '7d8df2e4469efdc7', '76dae941ffcc3e94', 'f0f9dc20febf63c6', '76ee4ae91b2d6526', '1a0c841bd063b70b', '26e89c85acbd3466', '078b712f247875c4', '9cd0248a2fc79292', '6c19d5016a508e19', 'c6e44ba3f43d1c36', '682255e0c2142768', 'e4d1aee4602359f0']; context = [[145, 185], [152, 199], [2, 45], [32, 84], [0, 35], [115, 150], [82, 121], [198, 235], [2, 51], [28, 67], [9, 52], [27, 76], [19, 68], [33, 78], [15, 60], [86, 131]]; loss = 0.028486 low_pass_filter = 0.300
+Epoch 0: | | 20359/? [3:13:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 20360; scene = ['e3c8770275e00422', '2887b9c54db40b70', 'cd77ec37b5e7c71f', '68c3eca4d3b9ea9b', '8af3efa7ecdf2ad9', 'ff482cf78f80622e', '436084b37375841c', '823a3c23a9602137', 'dc985c4a47880777', '31fa2bf7905f868b', '55d50cd41993dcdd', 'a79f5277b84c117a', '8996564583eba183', 'fb223fa7ceb38163', '54a78ba08e260acd', '4802d4c827cac172']; context = [[151, 210], [52, 101], [4, 64], [2, 52], [42, 79], [21, 75], [13, 67], [31, 74], [12, 65], [192, 230], [0, 37], [23, 78], [7, 52], [216, 256], [41, 81], [0, 36]]; loss = 0.027324 low_pass_filter = 0.300
+Epoch 0: | | 20369/? [3:13:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 20370; scene = ['e806c8996c08edcf', 'b4129ddd2e8d9ffb', '72a9c61ce291388d', '35d21e2bd3e505be', '6bb5c60edea6cfbf', 'efbe907be10f9dc1', '42dbc601fe2ef235', '1c3978a2a10683ed', 'a539cdd0182bcc7b', 'a10c07334630554d', '9a7592ed3d928a81', '4ac2a29fadf3852d', 'ae094bfe89c83808', 'a377fc8d36db3a31', 'a420942935bbd6be', 'd9c82874e9d58447']; context = [[128, 186], [8, 45], [12, 70], [14, 71], [44, 85], [97, 133], [44, 84], [56, 102], [97, 152], [2, 38], [29, 69], [22, 72], [163, 200], [62, 115], [0, 36], [3, 38]]; loss = 0.035980 low_pass_filter = 0.300
+Epoch 0: | | 20379/? [3:13:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 20380; scene = ['fc801406b1f9db3f', 'a92ffea4cbb162e4', '697df23e9f5fb6f5', '95f88ab4932e5ee7', '2ed09de0e64ad059', '24ecfa7e5f8704ed', '0cbb0d17760c42ea', 'f4ec95a169f45f3d', 'ed0890096e714ae2', '951befbf4cb5a337', 'ffe2e1bf600650a7', '19b9269604b29207', 'c3c0b8f4afb34ffb', 'f5b8734a98679522', '7d4dee33e172c862', 'f6717c52d63c3123']; context = [[126, 186], [17, 54], [86, 141], [20, 63], [61, 96], [62, 98], [5, 59], [8, 47], [39, 93], [7, 58], [189, 243], [18, 59], [5, 56], [57, 94], [2, 38], [19, 54]]; loss = 0.042041 low_pass_filter = 0.300
+Epoch 0: | | 20389/? [3:13:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 20390; scene = ['0779daaad5fd0ef7', '6659caf3c70435ff', 'e6cfdadf048f70a1', 'f577eebf982cce4b', '5bf7d6ec6ffb19dd', 'c25b314716aa6b10', '692a87e2b7ebc8be', '2f311b2bbbeb5940', '2107f0bc2f004d1e', 'dee4ac1cafc21a46', '2ec872c96bbc4d3c', '532eb0e37a511234', '2c10672dcad0fc1d', 'c1388d6b637459cf', '24813fb67839f779', '8e5dd54e57122902']; context = [[30, 86], [38, 88], [54, 102], [3, 49], [72, 114], [50, 103], [30, 80], [43, 78], [11, 64], [211, 269], [159, 202], [112, 168], [191, 234], [3, 57], [148, 195], [24, 64]]; loss = 0.025807 low_pass_filter = 0.300
+Epoch 0: | | 20399/? [3:13:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 20400; scene = ['7c47ccd4d1a46ddb', 'b551de9f9957b4a1', '0502fde8917abbf5', '66152520d52aae96', '221324859434bdb2', 'f44601f68f76436f', '2dac470361510c78', '852d166ff2c05a58', 'e527d58188527d8f', 'f05909652b2704e8', 'bab59381c6649e73', '6b9377cf26f4ae6c', 'fcd85dc0996790c4', '85b4a5fffd9dddcb', '8b3f5f7e9edd3d7b', '9212687eedee9127']; context = [[44, 93], [73, 114], [35, 73], [19, 62], [29, 72], [19, 57], [5, 64], [13, 73], [12, 53], [70, 130], [3, 58], [1, 42], [34, 88], [135, 177], [50, 93], [183, 226]]; loss = 0.027109 low_pass_filter = 0.300
+Epoch 0: | | 20409/? [3:13:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 20410; scene = ['4be99782bb201a87', '3ca9f2ea058b7220', '17305b0b98053dee', '31f802c4d94b2a8c', '9cf1069fdc94c6dc', '7e5067f243e163c2', '6bc6bb0fd95a073d', '044269d00517f7d1', '6045126dfa31e121', '36cba4fb28af5f41', '9ce71811d7ef9514', '2aa4d612442242f1', '32980d0390e9d273', 'a65f2600585e4c08', '3cd8c5f222a29e8c', 'b480e474281f5335']; context = [[12, 58], [58, 107], [162, 213], [42, 86], [5, 59], [22, 79], [108, 146], [40, 93], [7, 57], [4, 45], [62, 119], [0, 40], [3, 41], [79, 118], [13, 64], [7, 66]]; loss = 0.036374 low_pass_filter = 0.300
+Epoch 0: | | 20419/? [3:14:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 20420; scene = ['71dd1a7180379d83', 'de9f2fe2fe21691c', 'ada0d0dd176ccfb8', '537c4db52b7845f9', '736a39818de2100b', '8f74fad88033f13b', 'e8540008e013e465', 'b21e80e1fb0edc79', '138faec3974e6959', 'dfca026ac8e6d5b4', '9746f30f65f4a89a', '4a2739ef8e91244d', '8d88fcbffb878e51', '08e0753965ce77fa', 'b9d021ee08c7e2a3', '24f85026de7868d8']; context = [[26, 68], [21, 79], [3, 39], [132, 178], [29, 85], [221, 266], [31, 75], [27, 74], [28, 67], [22, 67], [26, 74], [18, 56], [24, 67], [190, 242], [54, 109], [7, 51]]; loss = 0.030111 low_pass_filter = 0.300
+Epoch 0: | | 20429/? [3:14:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 20430; scene = ['62c2edc48b267fd5', '8a2120eb135875aa', '7a0cb96230343062', 'b8b0b7d8a4ed6978', '46ae6f33316dbb7c', '46feebcb8a06d358', '0377dda9f7523d84', 'fd8c20b69b905983', 'c5aed9e5140a93de', 'b3c1b70f6c68629b', '77ec536967a90c82', '7694f69099715be2', '8f504acbf63a2e05', '3a158a1cdbddebcc', '6dfe41d46d841142', '397e9da33cc41440']; context = [[27, 63], [78, 137], [62, 103], [3, 54], [46, 91], [62, 102], [26, 72], [7, 58], [68, 118], [10, 69], [76, 131], [8, 58], [105, 141], [11, 56], [4, 48], [50, 104]]; loss = 0.025439 low_pass_filter = 0.300
+Epoch 0: | | 20439/? [3:14:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 20440; scene = ['714eac3395b83c9c', 'ad665e1696399247', 'd3439c63b98e6e98', 'b43d7cef027afc33', '079f307b3dfeecc0', 'daff46a11293573f', '098bc6fb411f7981', '028a8615ae331a19', 'ad11aa745dc46abd', '3d24f9048d25a661', 'd66973b1bc0c0484', '1f7dcb3f225e0666', '2566f5987054867e', '836af3dd708e4317', 'dca7a60c2c74fef8', '95a7db506228984d']; context = [[73, 129], [7, 55], [52, 107], [15, 68], [28, 74], [2, 62], [143, 195], [1, 38], [33, 70], [37, 87], [35, 90], [84, 130], [44, 93], [0, 47], [46, 101], [115, 154]]; loss = 0.027069 low_pass_filter = 0.300
+Epoch 0: | | 20449/? [3:14:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 20450; scene = ['a11083d7abc86e30', '7e8e2c1ec16ca90a', '05f68f205088615a', '177ec27d1a094371', '65d52755ddf504a6', '67b48a8ef26faa69', '4466e384294450be', '23c52859f21f94ec', '52ff08cf915f9890', 'e82f58c638cf3f5e', '1672c494acdf9a51', 'e7bb9d4424f4363d', 'a9aa19912b72f767', '3b5f903cdb3d9583', '4e90b5a00ca1a323', 'fa7e7926abc78907']; context = [[8, 57], [22, 65], [23, 59], [6, 57], [78, 113], [35, 73], [2, 58], [70, 111], [23, 75], [71, 108], [25, 66], [31, 68], [43, 89], [176, 233], [10, 52], [5, 57]]; loss = 0.027702 low_pass_filter = 0.300
+Epoch 0: | | 20459/? [3:14:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 20460; scene = ['baccbb802cd0ad2d', '0f2b05a2206a3180', '6e5d2e5d7e398db5', '73aee8654106974f', '5474e6cd7ccd6d1a', '502774a6c8eb28ba', 'de60b627821c8594', '559f0251ff195a45', '60e0925e79a6c253', 'f5eb0f156e32645b', '36f89cf6ea6d7736', '0fe8e40f46e8d14e', 'e899e939dd9774e0', '9e9a9b3cc7ec467b', 'b49c78c13682e129', 'edc3089c382e7cb7']; context = [[165, 217], [24, 78], [5, 46], [175, 219], [31, 91], [24, 59], [37, 72], [10, 54], [110, 156], [94, 134], [51, 104], [10, 47], [138, 177], [9, 65], [2, 46], [65, 123]]; loss = 0.023265 low_pass_filter = 0.300
+Epoch 0: | | 20469/? [3:14:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 20470; scene = ['743fd8885643d3aa', 'b31b65628bc2a5ad', 'b08dd02f55c030c9', '689a2285be81da67', '8f5d7d23fd6b1e82', '9b663c4f43cd593a', '0f79891c783d6030', '6b5f5aaea390ff12', 'a134112256d679ba', '4277d8783b6a046a', '896854a5d7c5179b', '8ccc670b427d277a', '40c5311e3b3accef', '9af7c151a7ca6d00', 'ea334cb643e07603', '91599919681fac69']; context = [[9, 66], [6, 42], [233, 275], [7, 56], [12, 54], [51, 92], [10, 45], [51, 101], [21, 78], [24, 75], [4, 62], [1, 54], [7, 57], [107, 153], [3, 39], [79, 115]]; loss = 0.044477 low_pass_filter = 0.300
+Epoch 0: | | 20479/? [3:14:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 20480; scene = ['1df9284b9b3b08ec', 'cbb41882beb54a0f', 'dfd7cac24b2e6d3a', '70e9cedc1b651390', '43e95798af7d674d', 'ddb49149cb284d39', 'c5b2633bd3f5d7df', 'd1a73fa57779380a', '0e2e11032cffb1c0', 'fdb6fe07b7177854', 'de1cf9fef80fbf69', '7b0ef31a4906b4a4', 'e4a4b2fb769796c2', '01e5a931a368c08a', '56ab4d88ec3cac58', 'bd2f1a3acfaafaac']; context = [[20, 75], [81, 131], [0, 46], [7, 59], [109, 145], [0, 38], [208, 257], [37, 88], [7, 43], [223, 267], [125, 174], [81, 124], [123, 162], [72, 120], [0, 38], [1, 42]]; loss = 0.025478 low_pass_filter = 0.300
+Epoch 0: | | 20489/? [3:14:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 20490; scene = ['5d43b9855e67ae73', '3005b48849426b4b', 'c28da739900c2d33', '8da50607ce8939fb', '64f39dbc3a894720', 'f3efc40fa4af8766', '665a4bc0a88c7f78', '407fc4424dd55e49', '01620c1d8a552b67', '270e9e4628d75978', 'd116367068aa5d41', '1ed9c16e7e93fee2', '7b50ef84dd63921b', '893ee7f0458c8d38', '5cd769c6b0eaad60', '468a9aad34ae4f6b']; context = [[7, 48], [207, 247], [25, 65], [21, 81], [11, 65], [202, 256], [1, 46], [113, 163], [156, 215], [44, 100], [9, 52], [61, 101], [22, 58], [45, 88], [35, 73], [23, 71]]; loss = 0.029439 low_pass_filter = 0.300
+Epoch 0: | | 20499/? [3:14:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 20500; scene = ['dc5718571f3ddba1', 'bde3a7187db8eeac', '1576466bebb4c410', '06c175f6ee37879e', '0a5e96ad4f6c2778', 'c331d2d0a77cf732', '303f37c7b62f5795', 'e6ebaea853d7c5da', '48458995dd3a43e6', '5c9395533cb818c5', '2fd71c52854362b6', '3b2d3975d43291c0', '56eb73a8e5f30e59', '29b3050a9c0f3135', 'c533e77834773e25', 'ba72ce893179ae64']; context = [[72, 125], [1, 55], [5, 47], [40, 100], [6, 48], [9, 48], [165, 214], [68, 108], [0, 46], [5, 60], [59, 100], [22, 67], [83, 125], [50, 94], [41, 90], [83, 131]]; loss = 0.029093 low_pass_filter = 0.300
+Epoch 0: | | 20509/? [3:14:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 20510; scene = ['6e47696f41c1858e', '722e4ba528539677', '76cee683355ed86f', '3e65537ef0d28ef5', '5d208f960b52435d', 'e4d41618c44cfb3a', '5b011a5a3d233d7c', '11c0b81458353544', '72d4380bfe082bcb', 'baf50d5df6dc9369', '73eca94ce253856a', 'f5733786f370ff53', 'f4f09cc40c069423', '19a6008b9f6bdae3', '99d6035714f21d81', '617dca58ae288a19']; context = [[8, 68], [9, 48], [6, 48], [15, 56], [64, 116], [76, 131], [70, 129], [116, 174], [2, 44], [17, 61], [70, 125], [15, 57], [135, 190], [226, 269], [0, 40], [9, 69]]; loss = 0.026119 low_pass_filter = 0.300
+Epoch 0: | | 20519/? [3:14:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 20520; scene = ['a9f872f9c38cf538', 'e6510eaf44b146c7', '6d3d022cd71a6c1b', '20234c1500fd5d4b', '26b7958a9c2bfd74', 'b33892623289ddd4', 'b85dcc204b980cf1', 'b487e00442c5a8cb', 'af2a4edd9ee026e1', 'c4606cdb17012d6b', 'fd5e487892a58781', 'a91657eb1b53c0ee', '2e2232e88140794a', '14e19e579a9704ee', '901ffe30eed014c5', '51bfd3ee5c473481']; context = [[41, 78], [30, 68], [3, 56], [7, 66], [46, 102], [19, 79], [0, 44], [67, 109], [0, 54], [6, 66], [0, 43], [73, 113], [27, 87], [40, 77], [1, 61], [34, 80]]; loss = 0.025337 low_pass_filter = 0.300
+Epoch 0: | | 20529/? [3:15:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 20530; scene = ['a13d8d996ab50fd7', 'ea066e1485b1d986', '2fc448010ddf9c0d', 'fccff2648cce2404', '4bd1181d3d5cbe49', '89264e76e0901fb9', 'da90d7c66bea01e5', '5a2361e3f5e87672', '9927ea6cefc6d3ce', '92fc6b3fccfd274d', '2a15c529dc6ff2c0', '0e7656a39389616d', '965b54022afdb14f', 'f528636e1daa4cf1', 'e0c616483f73f8bb', 'cd4ded36b30a9d00']; context = [[3, 38], [68, 113], [39, 83], [88, 125], [54, 113], [179, 224], [89, 129], [35, 91], [78, 120], [2, 44], [97, 141], [16, 52], [34, 70], [160, 219], [2, 46], [211, 260]]; loss = 0.024263 low_pass_filter = 0.300
+Epoch 0: | | 20539/? [3:15:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 20540; scene = ['879178cfcd91fa71', 'f38c5ec3bf386a89', '21e93803e217a7f0', 'a5b7cbe82d53f7b2', '56a636deccdb09f3', 'e0f2adb45811eca4', '0099afa1d37142f4', '2dc02dcd60cd893f', '758770f2884e9a79', 'fbf253fca4a29e87', '301a38f13db800df', 'bd695f52931a2fc2', 'b0c532bf94eeb726', 'ea8d853b968e25b1', '8b9a04c6ae39cd63', '1808b1a7f1c93d66']; context = [[196, 239], [26, 82], [18, 57], [16, 73], [13, 72], [10, 57], [3, 61], [48, 89], [96, 151], [21, 73], [50, 100], [21, 57], [216, 272], [7, 45], [22, 73], [49, 90]]; loss = 0.031061 low_pass_filter = 0.300
+Epoch 0: | | 20549/? [3:15:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 20550; scene = ['c9cc84f82b5182d9', '29a5e76da0fe508e', '4f0e7c5b39da1ff1', 'f1970010dd9e1e01', '7bc459cf2cd73e6a', 'ec15da6be3f66c37', '37d9966442c8f4a2', '5713836bd1c52cbc', '2df3d9757cc88582', '78301054a4e470d3', '9ed566141bd48703', '57d04a4f8bc1955a', '2b9cbd635854b62e', '2589ba4f31031bd5', 'b281033b87f3c95e', '6587a582e70da65e']; context = [[64, 101], [3, 43], [196, 249], [13, 50], [1, 42], [47, 92], [113, 171], [1, 40], [2, 45], [85, 141], [12, 62], [0, 49], [4, 53], [42, 102], [5, 53], [2, 49]]; loss = 0.026625 low_pass_filter = 0.300
+Epoch 0: | | 20559/? [3:15:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 20560; scene = ['8744d594a6b6f3d1', '7ca70ebea20f9f0d', 'eb9c6d0de5a8d7b1', '9b7da6330793c183', '4b7052ebde7c2201', '1cdf0de0c057ee6c', '2c7204eaa40a2ee4', '7b9e86414a13f2b4', 'bd0875bb6d870093', '4ae2f7b21c9aa2a2', 'a16e5f24b9d33640', '0e9fa8ac3375dc4e', '2c1ad1b9acb721a5', 'cd04dfe6ae225536', '663b93fc3193d34a', 'd3f4e707073c529e']; context = [[16, 57], [30, 77], [6, 51], [36, 73], [84, 125], [42, 78], [5, 50], [81, 118], [142, 186], [143, 178], [16, 68], [8, 53], [146, 202], [11, 56], [8, 57], [158, 213]]; loss = 0.028111 low_pass_filter = 0.300
+Epoch 0: | | 20569/? [3:15:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 20570; scene = ['251522536184bbb1', 'f765a2b14a33fffe', '4085aff1753b53ac', 'c7f3ba9289f424d4', 'af96623802f4dddb', '9e3c6f6868453f09', '5129718570b4de96', 'fc91f4cded72d92e', '1d4f8bd46c960db8', '0849a021a3a51cb5', 'b934bb1208684110', 'ee7e466e2abafbd8', '38ee5223789f3393', '476d0a5c62620693', '595b5d5487aa350c', '282554ad95f2111f']; context = [[54, 91], [49, 94], [25, 65], [212, 259], [120, 169], [55, 94], [71, 124], [96, 145], [21, 56], [20, 76], [23, 83], [5, 46], [19, 72], [74, 121], [21, 66], [139, 188]]; loss = 0.027794 low_pass_filter = 0.300
+Epoch 0: | | 20579/? [3:15:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 20580; scene = ['c3120b358e2ef0eb', '796064d2460d5507', '87f1e7486245b241', '6331f61b2b475c41', '01780b64788acd12', '76a1d043e6afdeba', 'ca1b81698f4a3f71', '60402e68cb17d7ef', '57d7d5b1411bb483', 'a0860cfc351a422a', '6f18dd963f7b02bc', '3cb0a62af12e4bfe', '5b10dfb58100f4b2', 'c474b284195b708c', 'ef4927a8829c2ba3', '43728f475156cab6']; context = [[9, 56], [61, 111], [8, 54], [21, 57], [63, 117], [7, 47], [4, 45], [11, 55], [1, 40], [23, 66], [7, 61], [10, 60], [207, 242], [150, 206], [26, 84], [31, 75]]; loss = 0.026475 low_pass_filter = 0.300
+Epoch 0: | | 20589/? [3:15:36<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 20590; scene = ['758a63fb57e54b3e', '2a5ba4ced1bda07c', 'aa5e9a3df7061a58', '540bc85f7c1b643e', '11d0d75085bf9ce0', '88a6790c97629d07', 'c49dfdcdb8ec5967', '25a066a44d4fbfe2', 'ee308e09e3e799e5', '1b91d2fcbd0b384b', '665049a1c88afbac', '1f74fa521c9ed662', 'c70fbfe2ea94f606', '46f0491eb7365360', '6a140ea6d457efae', 'a02a9658551d219d']; context = [[24, 67], [1, 47], [20, 77], [38, 89], [87, 134], [12, 59], [110, 157], [21, 76], [22, 70], [22, 78], [39, 76], [11, 62], [16, 61], [3, 55], [12, 47], [15, 53]]; loss = 0.030052 low_pass_filter = 0.300
+Epoch 0: | | 20599/? [3:15:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 20600; scene = ['9219c0b67e0ea38a', 'e527185e42bfef1c', '9dbc40d2811387bb', '4163a3d6474b4086', '3f185e89d01dc9a5', 'e92288e233122713', '97a2da18d56a9288', '12a06166db48270d', 'dab8595201dc5eef', '918e44e4ed0ca4b6', 'be1b98bfac2059b2', '952a6c361259de70', '9577c2edbc9dc8e4', '0dd1e7a6cd5e571b', 'bc9a64096787007d', '933455a00b7e0575']; context = [[111, 167], [200, 249], [72, 117], [21, 59], [73, 113], [33, 79], [96, 135], [168, 204], [204, 248], [3, 49], [35, 93], [32, 75], [116, 157], [5, 62], [98, 151], [0, 37]]; loss = 0.027855 low_pass_filter = 0.300
+Epoch 0: | | 20609/? [3:15:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 20610; scene = ['4381e4d03da3a2dd', '7d546a90fbf298a4', 'fb5a80a778281287', '632ba2d80346eea2', '407f30b4e6d34dce', '094e66678ac96c82', '9890ffb19a34f7e5', '7b56c6bfe56e39ca', '85afb31e233b00c4', '48250b1284a72f1c', 'cdc6b6e9d8d362ad', 'db9124115898035c', '566c303cfa6a0077', '296e4f16f7e5ea18', '9b78476cb3a62f42', '3c7e6874294e63bb']; context = [[33, 88], [49, 100], [4, 58], [15, 75], [118, 153], [64, 116], [13, 68], [2, 40], [0, 50], [4, 44], [91, 128], [27, 76], [24, 60], [183, 242], [97, 153], [46, 96]]; loss = 0.026797 low_pass_filter = 0.300
+Epoch 0: | | 20619/? [3:15:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 20620; scene = ['52c8bb2604e9cd40', 'b36caadc03478bf2', 'ab41878f4d98b685', 'b0bcab24a4966810', '687fa81a5a3fbdb2', '21e2e9ad21492fc4', 'cb39619d392401f0', '5c2bcdae45b3b7c2', '77b9d40d5d9278bd', '03a8cb9065084812', '7bc72ab83e1ddcce', '9db5d6f52db8ebca', 'd67e551cfc3f6a4a', 'b0056fe2ed291425', '884815c3ec6119e5', 'b210d777c3b1b8db']; context = [[0, 44], [1, 37], [26, 72], [171, 216], [11, 71], [5, 49], [6, 47], [71, 130], [51, 93], [1, 44], [60, 112], [55, 104], [3, 41], [8, 67], [6, 43], [6, 62]]; loss = 0.024927 low_pass_filter = 0.300
+Epoch 0: | | 20629/? [3:15:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 20630; scene = ['ec921f15f6d56701', '6801c1bf5cbed2c2', 'ea9991a2c4066cd8', 'a29e4db4734cac27', 'c87c8f9c8b42399d', '23137b92a3535ce1', 'e4c7f0a3850195cd', 'c47c2dc65efa8de8', 'cfff66f23f588e47', '161da535e54d4c7e', 'b5780abd5251b9f4', '2eda4095e61dabeb', 'ed7cace48578d1eb', '2c675ba547c0302b', '6f23c44d00f39800', 'd10bb47f06304f51']; context = [[5, 55], [9, 61], [97, 152], [9, 47], [23, 80], [16, 64], [38, 80], [80, 125], [61, 98], [3, 60], [16, 52], [35, 74], [39, 87], [158, 215], [33, 68], [76, 115]]; loss = 0.025928 low_pass_filter = 0.300
+Epoch 0: | | 20639/? [3:16:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 20640; scene = ['3b7c67b6632b1c74', '983944b4dd64677d', 'c6ddb4bd6ef6f42c', 'edcdfad297756b43', '6eaadf5fbec73f84', '2dc423894c7a2477', '3bd410ee66af926f', 'fc51e91c6c72a836', 'e9f7e73140682cec', '5ae8045e46ff2e4d', '3d73a4433c9c369e', 'a50e58bbcc7d9f8b', '8f8972153ef58eb1', '0360812f602e4762', '6daafd4d74fa1162', 'e32cc05b2f418270']; context = [[104, 149], [10, 58], [37, 93], [95, 150], [51, 99], [12, 56], [2, 55], [58, 105], [191, 228], [83, 128], [0, 35], [72, 118], [25, 79], [34, 93], [29, 67], [5, 57]]; loss = 0.025421 low_pass_filter = 0.300
+Epoch 0: | | 20649/? [3:16:09<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 20650; scene = ['6e58ea1e0f80b318', '003977c5456b561e', '218e5769692aecdf', 'eda53024bf75d836', '4ed1f85c32d21a00', 'c75b763b30ccee6c', '73efaa26b1b16a5f', 'f58f30ebccd10394', '603cf62aff2f71c6', 'e12e9436f503e74a', '6875ed27156df45d', '4b94c03307031f70', '76f8be7e88d50aa4', '1646e50f202fc198', '23b04d76a35f8baf', 'a319d12dc917b425']; context = [[78, 132], [56, 106], [158, 195], [111, 154], [5, 56], [58, 113], [27, 77], [8, 56], [0, 39], [88, 135], [20, 66], [2, 49], [163, 217], [116, 176], [15, 60], [2, 38]]; loss = 0.025462 low_pass_filter = 0.300
+Epoch 0: | | 20659/? [3:16:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 20660; scene = ['f51001d4c9b1b026', '4a4c7ec072d5e873', 'c15c9a0f2ad3e52d', '5d128926c1792da9', 'e97df4a241db1eae', '9bdb078481fe6346', '8418904f8ae211a7', '8dece22e0e59e1eb', '0662222d7f246d7c', '45c50be0ced34217', 'dc1c3e901bbdd1b5', '7436657258d0cbb1', '61195575024c6cf4', '5ae2c32a2062fc64', '26b59e475b721b70', '8c704f417547a201']; context = [[4, 43], [2, 53], [35, 87], [116, 156], [71, 107], [20, 77], [27, 69], [11, 63], [9, 49], [1, 48], [1, 37], [118, 161], [102, 143], [13, 52], [86, 131], [0, 47]]; loss = 0.039538 low_pass_filter = 0.300
+Epoch 0: | | 20669/? [3:16:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 20670; scene = ['717355446e5fb6f1', '2760ce206d026a24', '0171fad21c2da68d', '569b4f2bbd5ca97d', 'e40c1441aec53a72', '695a744c7eb7c26e', 'ea7648c11d71d569', '1d0db89d39191516', 'fdd5a412245006ab', '8024a13b551c34cc', 'ccd70d500f2e2bc9', 'e6ec55219ebe382e', 'c83fa4955ce845b6', '8719fa7d74daa634', '99e513749f0aa3df', 'a100e3e5a44b9087']; context = [[159, 201], [31, 69], [19, 63], [161, 198], [54, 90], [47, 88], [1, 46], [45, 103], [126, 179], [34, 88], [5, 60], [1, 51], [79, 117], [36, 82], [0, 37], [9, 54]]; loss = 0.026987 low_pass_filter = 0.300
+Epoch 0: | | 20679/? [3:16:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 20680; scene = ['d0c12240702616a7', '79dca8946db32bbf', '97404df843f6f12a', 'c0d9b8245553ea43', '544a78b22bc4b00c', '4c500c935499b76c', '791154aeb41aebe5', '62705f8c22b2c80e', '12e365426a204bfe', 'e5d6c55082393e34', '15e37857ba740b8e', '9652388a27e34f6b', 'ea1b098bc21eb64b', '6db892e0d6deff33', '19fe6c6d41769856', '54f982f5c8b1115e']; context = [[17, 61], [18, 78], [1, 51], [56, 96], [43, 86], [9, 59], [24, 79], [56, 114], [2, 52], [11, 64], [32, 92], [17, 57], [30, 87], [0, 41], [13, 52], [32, 84]]; loss = 0.028910 low_pass_filter = 0.300
+Epoch 0: | | 20689/? [3:16:32<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 20690; scene = ['362f4c367cc1f9c2', '9f5c73121bfb63bc', '01c8b17d4f7866a2', '9e2bf052c201f18a', '1f8b98db36be71d3', '0b83cf4cfc094f50', '1e75467b50ed22fd', '24e6a7744c958836', 'b71007f2949391d2', '8a3aa041b2efadbf', 'f64f6c0399699bfd', '82b8c2cd30c09774', '8268a9a1ef78642c', '6e9ef6faaa0df4f3', 'fc0e32185a474aed', '7e33bb2341a764c8']; context = [[3, 62], [156, 208], [17, 67], [3, 57], [27, 86], [60, 97], [44, 88], [7, 59], [21, 68], [197, 256], [4, 49], [55, 104], [24, 77], [8, 67], [22, 62], [121, 178]]; loss = 0.029771 low_pass_filter = 0.300
+Epoch 0: | | 20699/? [3:16:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 20700; scene = ['7615cbc4ef6c7051', '164156530d3be634', '0d3951ef69a23501', '84e4301303b9ce99', '1d6bf47d6ecbd3ff', 'b6fd5a806aefc32b', '76a2e535fa91b6d0', '54bef213b59ea065', '08735c801ab7efb5', '635de60e1e23e3d5', '8fc22c613c72a02a', '3a7d29ec252c1ee6', 'ae9aad3603cc5392', '602079c1ebdb60bc', '370a312c8f5a41d8', '03cbfe24b3fba7ec']; context = [[108, 152], [153, 196], [125, 184], [20, 61], [19, 60], [23, 69], [98, 137], [3, 56], [203, 243], [22, 66], [140, 195], [191, 238], [12, 60], [2, 47], [2, 53], [54, 92]]; loss = 0.023292 low_pass_filter = 0.300
+Epoch 0: | | 20709/? [3:16:43<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 20710; scene = ['792d911391142939', 'a827ddb556a77ad3', '75db9374ceef7cc5', '88af879dddd8d56c', '09046388c5e7be46', '2ef80cd0a1af8f4b', 'c8f87aacce98756e', '703fec55ded7654a', '1cf552e14b79769d', 'ea3e0bbdfe22e669', '619ec1868bb4fff2', '4e40f715298ecfb3', 'c4b9605e3399e84a', 'fb8f11f3617a14c3', '6d8b6fac92ceecad', '5fc1aa4a0f9458f8']; context = [[18, 68], [191, 242], [147, 184], [11, 62], [5, 61], [40, 85], [162, 209], [65, 104], [38, 84], [9, 47], [96, 143], [31, 74], [200, 245], [14, 54], [178, 221], [19, 58]]; loss = 0.031755 low_pass_filter = 0.300
+Epoch 0: | | 20719/? [3:16:49<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 20720; scene = ['16eff43540f42046', '8fd4563fc4ad666b', 'a744fdc585769a4b', 'ed938b08f6cbd457', '9a53d1c17fe9886e', '1fce7101e702d0cb', 'f45617a9f8bc08fb', 'd84c201ca7c851ba', '54ba12e94df7b0b3', 'aeddde26e41705e6', '2a3597473f14714b', 'a2e7fa2af162af5a', '008e27f0941b96ed', '4062e3ed1635c229', '9cbb340d21814b02', '643691861a5043d1']; context = [[8, 64], [0, 39], [0, 46], [19, 68], [101, 144], [36, 95], [8, 60], [17, 69], [20, 60], [18, 74], [3, 62], [3, 52], [30, 66], [110, 154], [78, 121], [107, 156]]; loss = 0.029604 low_pass_filter = 0.300
+Epoch 0: | | 20729/? [3:16:54<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 20730; scene = ['5aac7a494a76897f', 'bdc3f978b0d3aa8f', '6e6c7e333db63ec2', 'e80016be3043dfa4', '3f7992e72a096099', '964a8c79fc153038', '0a597d7ed9f61b01', '907cc3fa5b4f274e', '996449def3195a22', 'f5eb784755120303', 'bdab4452012d21c4', '931bcc26be9e4a7b', '1dca0f5045f2747f', '4a8407cf03055f82', '10f3a6c725650d37', '8a6b6e80af9a77ac']; context = [[53, 93], [16, 71], [102, 147], [109, 161], [64, 107], [80, 132], [63, 120], [56, 92], [21, 60], [7, 54], [66, 113], [17, 61], [25, 66], [0, 36], [5, 54], [1, 37]]; loss = 0.032605 low_pass_filter = 0.300
+Epoch 0: | | 20739/? [3:17:00<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 20740; scene = ['dc27bfb429117ad9', '8e98b21ea7f84509', '86920e8a33bf80ca', 'e5bb63fb3c7ccacb', '892d7a83c3b9e98b', 'ccc977a72ce800e1', 'cd6c74ea0440e539', '298b67257e341328', 'fc7ddeeba1b5ae54', '5b458ff356ffb1a3', '03815eea8ca6177d', '60a97b36cd3bb5a8', 'aef0399ef65f8220', '058e963a20fc1e3b', '56dfa6b3aac18a3f', 'ecfb5f52660e0c0b']; context = [[17, 71], [31, 87], [35, 83], [7, 50], [36, 87], [15, 67], [4, 54], [1, 57], [1, 56], [61, 121], [68, 121], [109, 156], [13, 55], [48, 85], [160, 211], [116, 155]]; loss = 0.030003 low_pass_filter = 0.300
+Epoch 0: | | 20749/? [3:17:06<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 20750; scene = ['f3f4f9da9acefa67', '32fa2f64dfaacf21', 'aa2175c8bffe8ad9', 'e1bfe1e13278c747', '79a0e8398b6a1cc1', '5e494fb5e1e7b29a', '7418314e76240536', 'b14f5a683aba2898', '210c21e8248a76f7', '5be06a710f3fe6f2', 'dd811aac95fe2a28', '9f06cf0ba2ddd1c1', '99953a73e02cf657', 'abf2a931ab2f7dd3', 'c909ee156ba46890', '09fef1964d67a64e']; context = [[24, 64], [42, 87], [153, 202], [74, 131], [73, 112], [130, 182], [112, 162], [76, 116], [5, 49], [128, 174], [71, 118], [9, 46], [76, 133], [29, 78], [52, 103], [41, 84]]; loss = 0.024749 low_pass_filter = 0.300
+Epoch 0: | | 20759/? [3:17:11<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 20760; scene = ['627d8b1a65c08482', '810f5259de1dcd97', '83b4e000823a3d5a', 'ac26f59587002d73', 'a032cb170dcecafc', 'bac9ac17ee40a91e', '9c553c8d306581ae', '5dab864bd9c7d1ba', '1d6150419fe159b2', 'b1f4bd04727375ff', 'dff38aa5c1474f90', 'fc44874b30bf3288', '84a3c4bf31f6a66c', '99a5b8917c62c1b3', '72bc8ef5c2bab64c', '23c5fd8b2ee6b24e']; context = [[134, 180], [159, 219], [21, 70], [20, 65], [36, 78], [0, 58], [88, 124], [194, 252], [20, 56], [19, 79], [12, 69], [61, 118], [63, 104], [10, 59], [53, 102], [47, 84]]; loss = 0.024239 low_pass_filter = 0.300
+Epoch 0: | | 20769/? [3:17:17<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 20770; scene = ['bc514648b0938a1a', '48252dbf46e0db67', 'b82d41c62606a4ef', 'a53872924436b2ac', '6bc3f69c7c3566e1', 'f5c3d0dba0b71ff6', '0cb5d3ad6b3a52b8', '13729e96ff2f345a', '6de65618fef3a792', '7c925f53e1814ec2', '1e4c7b6e4016e7f2', 'beb3094ce331d774', '5bac748f6d427b67', '668921a5f8dc2216', '56bd38a5cce7b138', 'f5b968fca82ee130']; context = [[5, 64], [1, 48], [41, 78], [132, 169], [7, 47], [16, 56], [153, 201], [16, 64], [12, 54], [98, 140], [9, 57], [37, 95], [19, 59], [4, 62], [147, 203], [14, 65]]; loss = 0.026656 low_pass_filter = 0.300
+Epoch 0: | | 20779/? [3:17:22<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 20780; scene = ['cc95434574eb684b', 'b8dc72a859facb4b', '8a6f6565aa136bfd', '98765b730c2dec17', '49328b9c29331060', 'abe30f78eedbc519', '80c0d9e23ff5c4d0', '3700d0ae62ced4af', '564a8cb026ae12e1', '7813fb5636484cd3', '7ab30ef220195ce1', '9b7a094854896bc8', '14cf0c360a00550a', '8edc47d4d783fca2', 'ab5aadbe6d834fcd', 'd81177196427a1d8']; context = [[122, 172], [54, 100], [231, 277], [19, 60], [20, 60], [112, 153], [52, 90], [151, 210], [2, 56], [7, 65], [75, 128], [8, 61], [119, 156], [11, 55], [85, 127], [30, 72]]; loss = 0.024562 low_pass_filter = 0.300
+Epoch 0: | | 20789/? [3:17:28<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 20790; scene = ['6e25ea3aa9e34592', 'e545aecc18cfa501', 'bcb253cbb83f358c', 'fdbbfdb6c21f856f', 'db19784431c29cae', 'b467a362d1bb806e', 'e1488d5d2d21df06', '2f2c4bd219a3c52e', '5900d44f690b1ac8', '9f73234c746c169a', 'd1a3f6c04d4d3bed', 'feced30301b43ffd', 'e870602940137494', '3237356236c9ee91', '1b64868112b2ec1b', 'f564c7789e774725']; context = [[96, 138], [32, 70], [11, 47], [69, 121], [176, 227], [2, 56], [138, 179], [94, 140], [29, 75], [10, 60], [48, 85], [114, 164], [2, 46], [59, 99], [46, 91], [7, 45]]; loss = 0.039844 low_pass_filter = 0.300
+Epoch 0: | | 20799/? [3:17:34<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 20800; scene = ['d6ee3ebc80a203a8', '93f798863c448d60', '9e14e353fb17c4e1', '8aa1d2417ba6be10', 'b2c9cee716864312', 'ff4354d594705a1c', 'ae53a2036d3f5c8d', 'f006719508cebf7d', '73999b595d1e78fd', '3f689cfe96c92993', 'd1daa71bff94be5d', '02de2123b9edb672', '0a0b550ac417ed7f', 'ce94464d4c88de51', 'b6cf4496bb5499ef', '59b677ec8589742e']; context = [[1, 37], [21, 69], [1, 51], [20, 76], [91, 132], [0, 37], [239, 275], [36, 81], [74, 114], [95, 131], [33, 92], [4, 52], [92, 138], [69, 110], [117, 164], [7, 67]]; loss = 0.027588 low_pass_filter = 0.300
+Epoch 0: | | 20809/? [3:17:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 20810; scene = ['e10c950038324d86', '770592c5358fc310', '53140bcec95f837d', 'f62a96c564a818d4', '5a2d08475d3ab6f1', 'f2c878b47a10992e', '5b3f6854aaf0e059', '74c817ce28582a05', '81a145b9b7d64d8b', 'c4036a6e53239654', '809588a559d93335', '7869661322e8f6a8', 'f2613c70aa00b729', 'b043aa52d4a7b0db', '9d9920122fe5ad51', 'd382296fbffe5f30']; context = [[0, 48], [70, 111], [1, 41], [12, 48], [27, 66], [24, 71], [27, 68], [76, 119], [17, 65], [2, 44], [82, 131], [20, 75], [2, 59], [64, 117], [0, 46], [12, 53]]; loss = 0.032304 low_pass_filter = 0.300
+Epoch 0: | | 20819/? [3:17:45<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 20820; scene = ['207f58822ac86628', 'fa858bff135c195b', '6383b0ca64518455', 'ca7339faa02aadb0', '9fc7da7f2d71386d', '2e5338ad01391b6f', 'd1330eb904da306a', '128ddb0e3fbd0529', 'b38c90b77ef3ad91', 'ca030905abc41a54', 'c4d9221e93c2b12e', 'bd9691996bd5d929', 'b84a5c1e7734f562', 'da4560895069f239', 'dfa445fd1c795422', '31416904feb3adb2']; context = [[227, 269], [36, 92], [17, 75], [30, 78], [34, 91], [11, 50], [10, 52], [88, 137], [28, 64], [122, 172], [9, 65], [21, 75], [23, 74], [70, 108], [24, 83], [73, 123]]; loss = 0.025658 low_pass_filter = 0.300
+Epoch 0: | | 20829/? [3:17:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 20830; scene = ['cb2fe45b3eb7dc08', 'a7d424b37900c8fd', 'e6bd49192ab21f5d', '90c444ed7f565121', '86e922e5d4069d1e', 'b5d6c77bcf7cdf5e', '1122ec33e71d8934', '83da83241d5d812d', '23ac0a975e7e789a', '5f8c4fdda0cf8f5f', 'd78279228e96c9ff', '70e5b380ebde6240', '61669d0878ba137c', '0a5432cc8599a8f6', 'a8e59959de741791', 'a58eac36146df897']; context = [[23, 60], [76, 127], [23, 66], [28, 67], [21, 66], [38, 87], [26, 75], [36, 93], [3, 53], [34, 80], [149, 186], [2, 47], [2, 38], [24, 74], [15, 63], [32, 80]]; loss = 0.026492 low_pass_filter = 0.300
+Epoch 0: | | 20839/? [3:17:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 20840; scene = ['bcdb79a5ef8910f8', '5d3f4c9049fd06a9', 'afa2907dafdb4c8d', 'e82135c2c337329e', 'deef35baf87c12fa', '7efbe6dd93c4136c', '14fd40e09334b1ca', '4b2b30ddbaa7cb68', 'd2d57bc79a24b563', '05244e7bb6be731c', '5e39693ca59e8130', '35b17517c1bcd92f', 'd80f75c505582b17', '09084445f13c2ecd', '20eea6e0a91b2cd5', 'b212a26fcbd831b1']; context = [[0, 46], [55, 114], [59, 115], [200, 246], [18, 54], [17, 60], [28, 81], [1, 52], [26, 87], [46, 107], [8, 49], [132, 189], [42, 83], [23, 70], [63, 99], [0, 37]]; loss = 0.038523 low_pass_filter = 0.300
+Epoch 0: | | 20849/? [3:18:02<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 20850; scene = ['a34fd0bb1384384b', 'df21531dc06b63e3', '48e4327984b07710', '409fd2b33d0f048d', '7aaf40db40a224e9', '15ca4fd4acca4454', '7e13ee50ac165936', 'cdb3ab8c4d3cc875', 'cb68d683bc8bdf94', '0d18b707a0cf79f5', '9cc91556f912bcc6', 'd93c0548109d3b3d', 'f9dc01b7d2ef31b2', 'a40883cee3d7f428', 'd9ba9b4f5fedb65a', 'cd5d12eb760f6c25']; context = [[14, 52], [82, 118], [26, 72], [14, 60], [8, 45], [49, 90], [158, 202], [77, 124], [47, 100], [0, 36], [51, 102], [114, 156], [4, 65], [106, 165], [213, 274], [11, 51]]; loss = 0.025267 low_pass_filter = 0.300
+Epoch 0: | | 20859/? [3:18:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 20860; scene = ['136699691d5ac532', '30073241129f1b45', 'd1dd88cc2ddcf5b9', 'a122a08c01ee327e', 'e46b29fc12390c9b', '9aab81a10733d402', '5ee2d8b0a1718221', '670996a0c92e881c', 'f5488ccee2266a6e', '05bed79128a7bdcd', '4a7b8ecb8a4b6c8c', '09f50652cb821e5d', '0cd856b59586f55f', 'ca7b32d2ca5c8776', '496c7b6f41acbbbd', '41fdca291bbdd214']; context = [[14, 72], [19, 56], [31, 83], [41, 77], [72, 118], [46, 89], [0, 36], [1, 55], [0, 50], [18, 69], [31, 72], [17, 54], [120, 177], [56, 97], [35, 87], [21, 78]]; loss = 0.025922 low_pass_filter = 0.300
+Epoch 0: | | 20869/? [3:18:13<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 20870; scene = ['e2218bc3111b76d7', '31240f5e4b708132', 'a67e709b68b7163d', 'c3699518391f8907', '18aecc2e66ae3112', '48c804cdf23efb75', '6e5505414fd63528', '8dccacc5fe8bf81a', 'bdf562da5cc7475c', '5a9672017ab85918', '7e34a8e57c879465', '296063ceba643c07', '723f94d150ab09f2', 'e001eb724ddff2a8', '55b05c9caa5f4d52', '391a131b8a82e9d4']; context = [[37, 95], [52, 107], [61, 107], [19, 62], [54, 113], [105, 163], [7, 43], [19, 79], [28, 89], [43, 84], [23, 84], [133, 194], [181, 222], [55, 92], [14, 57], [230, 277]]; loss = 0.024323 low_pass_filter = 0.300
+Epoch 0: | | 20879/? [3:18:19<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 20880; scene = ['099e97edda52c612', '7703f6f3dd2f91ef', '426b421bb992651c', '003908a8fa818d50', 'e787931493aac604', 'bff44d297bad464f', '51f38ab4c2b552b7', '336f7018bed111ab', 'cef4168f6ec0b88f', '5cd7dd9635fbe7a3', '71783d872a2ffba3', '091fdc7a25e6f6bb', '55f1013e8571c494', '17d0ebb4232549dd', 'f36581e435eb92a5', '163b00dcf34c2a6e']; context = [[146, 192], [54, 92], [9, 62], [23, 63], [67, 110], [127, 172], [31, 76], [9, 53], [2, 52], [22, 70], [8, 52], [170, 213], [3, 63], [172, 223], [0, 55], [19, 67]]; loss = 0.027805 low_pass_filter = 0.300
+Epoch 0: | | 20889/? [3:18:24<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 20890; scene = ['b51253be958023e5', '1962a33b9e18bc5f', '080b2ea0bee7c240', '3ab745b9c1e962c7', '5a53bd238e6eb769', '55671e2db4657b00', 'b4bbab891a72ff1f', '390c8df752d7b22e', 'baaba9c7644ef952', '05846e2bbc1ea5e0', '0edc9f32da048ddf', '756790007006f209', 'c4bfdf6f3a6c774d', '60f92bcb07109c4a', '25198f154d4b0b63', '388003e3d9297779']; context = [[70, 129], [103, 153], [1, 38], [130, 171], [127, 166], [43, 93], [6, 55], [31, 68], [232, 277], [50, 92], [82, 142], [6, 49], [12, 62], [1, 61], [115, 155], [39, 85]]; loss = 0.030537 low_pass_filter = 0.300
+Epoch 0: | | 20899/? [3:18:30<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 20900; scene = ['b8a22214c93484b4', '195fc11ccfc6373c', '8888284d5842e20d', '2558560e4ba11930', 'c57e6a4defebacff', 'c56fd76f9112e79c', 'f26265876d49f8eb', 'c58fe96a6470ade7', '783a62439d03c764', '2024b4f262746dd9', '9a5ec225cc655d4b', '1715b52a913b953a', '66871960d1c17672', '8c94caf12479d825', '625bfa26d60c3834', '9bec7da43de81cbf']; context = [[17, 73], [8, 49], [8, 46], [35, 71], [79, 120], [9, 47], [130, 173], [167, 206], [45, 90], [7, 47], [122, 167], [12, 53], [4, 44], [81, 129], [50, 101], [0, 43]]; loss = 0.029818 low_pass_filter = 0.300
+Epoch 0: | | 20909/? [3:18:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 20910; scene = ['3059143db5001bd6', '3adf82596ecefb0a', 'db74b5eb51b2ed26', '907ddb8b6f1f9c48', 'c9c58ce3d3304389', '5cb8558bd4aaf4d8', '2fed94c1168e0ade', 'b83186b9ac5de08c', '6ec4558fea67e2b1', '8e4365b878891659', 'bb4d90f443abcd12', '11061a6e3453b00f', 'b4e6410249f6a75b', 'a47fa740e18e872a', 'f07e1cea8ac5ce94', '2bf0ef87be3c8f31']; context = [[100, 143], [3, 49], [0, 41], [1, 49], [2, 58], [31, 81], [7, 64], [12, 69], [13, 50], [3, 42], [0, 42], [66, 124], [226, 265], [7, 49], [63, 115], [70, 122]]; loss = 0.031631 low_pass_filter = 0.300
+Epoch 0: | | 20919/? [3:18:41<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 20920; scene = ['1198c875e8b58d45', 'ef03ee83ae08d3ea', 'f3ed8d2562b3bb55', 'b6efb653209b341c', '5d09191618df4e27', '23317565a1d37489', '51723a3c78e7e420', '8377c3bbeb9beb34', 'c78fbc4042f91358', '8c491d4e4f409c56', 'b3ce0a1b64b915f9', '2ba622b78fc4569c', '149706425ea3666a', 'cfbb220575fb9b02', '550c91c247fed3a5', '66d22a164eb73a9b']; context = [[42, 86], [24, 83], [22, 66], [71, 123], [85, 126], [16, 61], [45, 92], [0, 36], [45, 89], [30, 77], [44, 82], [36, 75], [12, 67], [41, 77], [9, 51], [66, 126]]; loss = 0.025010 low_pass_filter = 0.300
+Epoch 0: | | 20929/? [3:18:47<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 20930; scene = ['26ab7013632ded77', '5c160981d97349b1', 'd9547a0401062a0c', '806a90bcf60f7e6c', 'f682063bfeb6c468', '4deb9a61dc7ddb3c', 'd1f1099b0a428268', 'e37711006fc617e8', 'dfcd88cbc69085a5', '55b75047aff4a672', '73ebb00a3b1e3910', 'c07f5a901c463eeb', '19620019eb955051', '76d3b403a85bddd3', 'f7022687381ffd22', '4518b1523df45a74']; context = [[79, 128], [7, 66], [47, 83], [94, 139], [16, 74], [29, 70], [3, 60], [5, 42], [1, 38], [17, 67], [31, 70], [25, 66], [5, 64], [50, 100], [142, 194], [99, 155]]; loss = 0.029291 low_pass_filter = 0.300
+Epoch 0: | | 20939/? [3:18:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 20940; scene = ['5eda0406a5e02452', 'f80301703d292a0b', 'c92ef5fbc5fa1ba2', 'de22770da73bbbf1', '32df185121315429', '6915a186168543b8', '07bf825918a85f50', '9b4023216c7798bd', 'f729fcce20f5e06f', 'c874ebccecfe6add', 'a61018020bd0c545', '42f231e9226b5764', '224f92dada695b8e', '70b1ccca2fbf002a', 'd5235962a9065594', 'cd415af73e3aefbe']; context = [[7, 66], [50, 97], [35, 83], [52, 102], [72, 125], [14, 50], [67, 106], [5, 43], [89, 147], [19, 76], [17, 70], [76, 125], [7, 62], [0, 36], [81, 118], [116, 158]]; loss = 0.029333 low_pass_filter = 0.300
+Epoch 0: | | 20949/? [3:18:58<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 20950; scene = ['b1c3a59a1ab3a0bc', 'ead8948883bfe2c4', 'd1f2f6605b45e92e', '4b6c22c6b4bfc460', 'a9c850ff04f98a7b', '5265d863c34ec86a', '020b1d941cb8e03a', '5d7e595f3cec8776', '97922c05a252718c', '30d346391c76430b', '1684d316bfca1c45', '6f8bb61cc8582fa8', '2ba4be20ff064320', '3a65f443bcc49c66', '758e56e8ea416b75', '819545645d5741a9']; context = [[19, 61], [42, 96], [83, 120], [194, 231], [3, 46], [165, 212], [61, 97], [45, 105], [98, 154], [4, 51], [38, 89], [0, 51], [34, 87], [40, 94], [130, 184], [19, 55]]; loss = 0.025794 low_pass_filter = 0.300
+Epoch 0: | | 20959/? [3:19:04<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 20960; scene = ['75a2928db20842a9', '4ddc1ef7aa04d8fc', '0627e25459335cf2', '6a6c5a32f8f02bdb', 'c0f4554c18a09b34', 'b63b97f07fbeaf24', '4a09a498e4e472ef', '30a737763bd2a911', '42fe750f91af0925', 'f81aac43ea74ff44', '7e048fb2e375b4d6', '1e53861f346b0f7c', '607224e86f068935', 'bec7b7bd2fa60eb3', '65d335b19bca4c2d', '85cc8a0d62c58ffe']; context = [[3, 64], [144, 180], [2, 42], [75, 119], [54, 102], [131, 187], [110, 162], [35, 81], [129, 171], [25, 62], [18, 60], [15, 62], [12, 53], [8, 63], [28, 86], [44, 85]]; loss = 0.029830 low_pass_filter = 0.300
+Epoch 0: | | 20969/? [3:19:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 20970; scene = ['a10052fb69f15ffc', 'c6cb7394690cc9e0', '4907375e0a4de10e', '09a0b9fe4c9b0691', 'd23794b5e86c3b7c', 'd33be1bdf678f485', '8708a0e8c937038f', '6c450e26a09407a4', '097b23d5ae2aa4de', '874678686325796e', 'c260842ca527acec', '9f4503d0d8742970', 'e228336cfbfcb179', '95a3ab26d547d0e2', 'ed4f2169411b4c39', 'ff606885fba519dc']; context = [[132, 184], [4, 52], [37, 73], [26, 62], [0, 41], [3, 46], [2, 41], [82, 139], [22, 76], [87, 132], [25, 66], [77, 128], [66, 123], [54, 94], [87, 138], [183, 225]]; loss = 0.025284 low_pass_filter = 0.300
+Epoch 0: | | 20979/? [3:19:15<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 20980; scene = ['b1f3e643fb405e5b', '51252022ddf74fb9', '7549b399afe41ed8', '04493f75414c6933', '0b82d6fdf7a104ad', '2431adcdd3aeeff3', '69bf6e0583b4603e', '6cee6d0abdf16185', '3c859adebfbf9648', 'a5ee1dc550e0afdb', '9c1ca75548ec6b8b', '036e3782aff4e532', 'a492d56927c30719', '4b2bfb703d9388ec', '20e75efc5d5dad23', '6c354e5ae8754e87']; context = [[211, 257], [2, 62], [33, 80], [16, 72], [84, 139], [36, 94], [76, 132], [8, 51], [21, 74], [12, 66], [50, 91], [1, 40], [45, 103], [44, 81], [75, 125], [5, 63]]; loss = 0.028692 low_pass_filter = 0.300
+Epoch 0: | | 20989/? [3:19:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 20990; scene = ['1b7de7185dbc301e', '74c9f05f838fafca', '60e8f97b17c76a05', '22f63765570b2ff2', '0051dfdcdc3050dc', 'd90a0c2adef1eb1a', '91e920e12316d84b', '43f3809e04ddf7f3', '3d38b2a666993c21', '0040ff89cd583609', 'b25e81d05bc408e0', 'b7019be1d94ff06c', 'a14c2b6e27ac98e7', 'bd2d0ac38c8907d7', 'ed0248c4aa06bbe2', '9f0597b818aa04fc']; context = [[29, 88], [6, 54], [175, 217], [36, 97], [16, 73], [162, 213], [76, 119], [3, 61], [2, 43], [199, 247], [5, 41], [129, 176], [0, 36], [4, 45], [111, 172], [37, 97]]; loss = 0.024636 low_pass_filter = 0.300
+Epoch 0: | | 20999/? [3:19:26<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 21000; scene = ['f1c5534a927740e6', 'd467c876debd93df', '589af20d18528628', 'a96f8969bb19b72a', '02215487bd135499', '662baee2147c22de', 'ea0002cb2f6fed38', 'aefd6880d19e9232', 'a0654f260935df3c', '8b141848a7d1d6ad', '8362b6b655cc9d6f', 'f6d0837b9aaa3b56', '160de455c93c4d42', '160fe18df3c3a5f7', '1230aea04da867ab', '394de4fa1d5fa237']; context = [[11, 61], [32, 71], [110, 166], [3, 39], [47, 90], [182, 223], [153, 214], [4, 58], [99, 156], [2, 43], [31, 70], [86, 137], [97, 138], [6, 50], [56, 93], [0, 49]]; loss = 0.064377 low_pass_filter = 0.300
+Epoch 0: | | 21000/? [3:19:27<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000validation step 21000; scene = ['b3954464d00ffcc5']; context = [[3, 59]]
+Epoch 0: | | 21009/? [3:19:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 21010; scene = ['930b8873d1fe60ae', '0b3621d34308d570', 'eb6ed96d7b06c526', 'eea0496248cf7724', '2289780f7fdb5091', 'e261a4726e8dbf08', '911ec6ade4d0709d', '35a67ce0f0a56dea', 'a069f40a4a017b66', 'e1ac0872443deb8b', 'd84929bfef3041a4', '86bfd95d15e6e77f', '7af8f06cde2e3206', 'd4d8b27aecb163b0', '59f3bc69c37fe460', '99f9a9b680b860e5']; context = [[92, 148], [92, 143], [18, 74], [13, 52], [80, 127], [8, 68], [3, 44], [1, 47], [129, 174], [49, 98], [0, 53], [2, 58], [30, 91], [8, 61], [222, 276], [40, 87]]; loss = 0.025278 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 21019/? [3:19:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 21020; scene = ['cd2e6f4d92d5d529', '98c650ab62b10ad3', 'ab5f18e74f1ddb8c', '100c4b1ba5f0f5a2', 'c96068ac4bae306c', 'ba00608cd351deb0', 'ee93d0c6e61bb08d', '32f1a97335017d58', '86270bfca57f93f8', 'ede232ddb1498db9', 'c6ebf1a0acc6844d', '013c0dd9d0f20a96', '4b6cbf1f4c87d918', '9b4d466924c40d8b', 'e5884780d0c4b903', '6e12e46a273ddb93']; context = [[6, 61], [31, 89], [20, 57], [37, 75], [4, 61], [133, 170], [176, 215], [44, 104], [14, 72], [5, 63], [58, 104], [28, 85], [52, 101], [13, 53], [41, 77], [41, 84]]; loss = 0.029271 low_pass_filter = 0.300
+Epoch 0: | | 21029/? [3:19:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 21030; scene = ['2dda31ef21375bcc', '0a797ebdda899242', 'fa77a863c2da0ea1', '8b3902074e71704e', '7989113a25b74a5a', 'd9e3fb32eda885be', '7fe21cc660012e7b', 'c6f4c3aa65a88c5f', '69c0ab37cd0b4038', 'c1c90a497313a731', 'b2b502239affc312', '9c9c480a9144cd77', 'bf281c3beca8dcda', 'a6c66d8633b83c04', 'c600946013eb81ff', '59ff88a8a2aab514']; context = [[2, 54], [112, 172], [74, 128], [7, 50], [35, 82], [5, 54], [64, 105], [227, 274], [1, 45], [35, 79], [54, 106], [41, 79], [13, 62], [1, 39], [71, 132], [19, 75]]; loss = 0.030496 low_pass_filter = 0.300
+Epoch 0: | | 21039/? [3:19:50<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 21040; scene = ['4dfd54f3098821dd', '8affa132fa270700', '251366dc002bf6c3', '955559418313af15', '742797055a67c950', 'fa6335a92d7faa48', 'f143d7c9ff7c1234', '20467fe97121072c', 'd14984609a8f3625', '22b12e74502378c7', '9beaf5d0ae3a7903', '68d1dfc42a46a73a', '62c6c5f93e65ccd8', '176f71a3cc338d8f', '3812f04df4ff98d4', '47c705d2d6d65b23']; context = [[4, 42], [18, 70], [35, 95], [180, 229], [3, 40], [129, 186], [11, 51], [51, 92], [2, 45], [0, 36], [14, 59], [72, 124], [71, 124], [37, 95], [46, 86], [4, 63]]; loss = 0.030054 low_pass_filter = 0.300
+Epoch 0: | | 21049/? [3:19:56<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 21050; scene = ['f84a8896b1ba14b8', '4dc1674146d1feb4', 'fdcc00c4d8310e3a', 'a37747c6526efa19', '407edd60b1d94ace', 'fb574aa41468e611', '0fbf74f0807a4caf', 'e1dbf381c5e6062f', '349adf5eb45ba3bb', 'a0d29e9989811e9f', '67c2294f74cf1042', '61d3b1c889816a08', '6d322c643d809c22', '3e965916afe80294', 'e5a301429b38dc20', 'f221667620ef606d']; context = [[1, 46], [140, 195], [142, 202], [18, 56], [213, 264], [163, 212], [148, 195], [140, 194], [0, 41], [38, 85], [2, 41], [14, 62], [70, 128], [1, 39], [24, 76], [31, 79]]; loss = 0.025823 low_pass_filter = 0.300
+Epoch 0: | | 21059/? [3:20:01<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 21060; scene = ['b6cfc2be371fe012', 'c21f6c67e7509e1c', '1e69c0ba9e7fb023', '9efb1558283915a3', 'ec667fb58c6d3a6c', '0dc7065a7b99d535', '3b0c6fee0faecce2', '63513ee2e5e74f65', '4bf8f4e620c27a0e', 'a2ef44aa7be20dd5', 'd56ac01183d2f244', 'ae8a16b195c2a28a', '41ba1a6b8d923830', 'cf7ae8e62157a6f5', 'b8f235ecb665c9be', 'f4c1819dbccb953b']; context = [[44, 89], [32, 74], [15, 75], [3, 39], [51, 91], [99, 156], [95, 151], [42, 84], [8, 69], [4, 44], [181, 222], [0, 36], [75, 114], [14, 54], [130, 183], [70, 112]]; loss = 0.029634 low_pass_filter = 0.300
+Epoch 0: | | 21069/? [3:20:07<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 21070; scene = ['4caaa1b6a8f126d2', '7d2632b33e628798', 'a01c0ec22a38536a', '53eb9bdb6a459713', 'e741fa80ebe93837', '19b52ddc2c0b41e0', '2cb2d8255676e654', '7a1781db0d9a2f70', 'a2fe0ee3e737c073', '3ff8fdd10bb511c5', '7a8d8426e0d1c1aa', '02cebccd52e7833b', '9467c3431e0e586c', '7bdad49548efe595', 'ddfe9ba63e6d372a', 'bcb68900df3fb3c7']; context = [[5, 60], [121, 171], [81, 127], [70, 109], [6, 54], [121, 177], [22, 66], [61, 100], [36, 85], [3, 43], [4, 64], [2, 48], [26, 83], [66, 122], [35, 83], [9, 70]]; loss = 0.027154 low_pass_filter = 0.300
+Epoch 0: | | 21079/? [3:20:12<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 21080; scene = ['b3b7e186efcf48f3', '3ac8f1175e70c73b', 'a4a5f77ac927b7b8', '4dab27a15daad726', '810b4b66938d5d60', '54d43c912e49cb3f', 'fa0b600ac32f3ed3', '4efbddebb2822355', '8f6adee2b5cc1d05', 'c17c8f9dca224201', '2a06f123c668d541', '335f19bbfc2309a9', '7bd8732d1c74a211', '3eb310e32a94a792', 'a09f165ba593ca2b', 'ed0246926d1a5f8b']; context = [[45, 94], [130, 181], [141, 190], [22, 59], [0, 50], [16, 55], [96, 137], [42, 81], [35, 85], [15, 59], [98, 139], [68, 108], [17, 56], [1, 58], [28, 89], [57, 102]]; loss = 0.027333 low_pass_filter = 0.300
+Epoch 0: | | 21089/? [3:20:18<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 21090; scene = ['3e6e41007d3aa646', 'a01ed892340b8f91', '30f3c5122980f223', '77feeb22ae67bb44', 'c915fd796ad7a439', 'a1d0953377697894', '4e5de1962e0dc852', '5525495e2e2170d0', '667ffb62ae2ac178', '4aefc4abf5184050', 'ea5ff365e3c72e1a', 'c7d468e8e326bc67', 'b1d8acd65ca26c50', '00c05c92f16e3a7f', 'a338bfd66be0c501', 'dc9e32ec34b058aa']; context = [[2, 54], [13, 63], [3, 51], [17, 65], [16, 58], [23, 59], [135, 172], [55, 92], [14, 53], [4, 46], [14, 73], [22, 69], [90, 146], [37, 76], [1, 60], [35, 94]]; loss = 0.028775 low_pass_filter = 0.300
+Epoch 0: | | 21099/? [3:20:23<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 21100; scene = ['a3a8f3fc21c11cad', '5116921541fb43df', '67b2f1c002c84aae', '0badcdd96a4c3fe5', '210b45452952e838', '2c9c8ea169ce0c04', 'ab78c56e9c5b6482', '177e02752605973a', '10ff4d2a82201191', 'f6524ab7935064b1', 'cc2a04f5173a1037', '5567dda0eb061dd7', 'e1923ba07570dd9e', 'c79c50b706239924', '45253de99a5c8714', 'fe263d56b953be62']; context = [[177, 219], [45, 105], [0, 57], [11, 59], [170, 210], [0, 37], [20, 71], [50, 95], [46, 104], [7, 54], [4, 55], [7, 68], [43, 80], [0, 37], [32, 71], [177, 213]]; loss = 0.028044 low_pass_filter = 0.300
+Epoch 0: | | 21109/? [3:20:29<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 21110; scene = ['95452f9250f1d10b', '249212a791d29e33', '3dcc546913f0f5a6', '26f9613bbfe4583d', '2a93af38bd81ae80', 'f63d2df8871ce70c', 'af4565fb713ed79f', '780656b1732d5e8c', '5a89880eb9996290', '8ad3918394be8d98', '106fa5a7ff2a8839', '380aa8c6d47a59a7', '1aa5fdc9ff855ee2', 'ba7019268cbd976c', '121b9ec6234a4cba', '1643b6a11a819f37']; context = [[25, 67], [83, 125], [0, 38], [11, 51], [51, 97], [0, 54], [24, 62], [171, 225], [74, 128], [81, 126], [59, 96], [46, 95], [1, 59], [98, 137], [6, 62], [9, 65]]; loss = 0.024392 low_pass_filter = 0.300
+Epoch 0: | | 21119/? [3:20:35<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 21120; scene = ['b617e22319a08f26', '2c0e2d48b3a9da07', 'fa5146a5114eeca3', 'a17c5f509a4519ad', '66327863e360188c', '71ee8313bc3a5b56', '557448602a800793', '8b1f2f89d58f3ffa', 'daaa366f6cfe1c6b', '74df0daf59313228', '8ef99dcc873d0615', '3dbac4de5b1e23c8', '7a3ea208dc507a42', '8203176c0fd8bfed', '2bac81068ebb0b09', '7648e09787b5ab2d']; context = [[116, 164], [186, 243], [103, 151], [0, 57], [12, 52], [24, 82], [1, 42], [44, 94], [78, 116], [37, 75], [17, 70], [132, 188], [11, 68], [125, 177], [1, 62], [21, 68]]; loss = 0.030958 low_pass_filter = 0.300
+Epoch 0: | | 21129/? [3:20:40<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 21130; scene = ['b34f9b04ada90787', 'dd811aac95fe2a28', '5be06a710f3fe6f2', '5e494fb5e1e7b29a', '9f06cf0ba2ddd1c1', '79a0e8398b6a1cc1', '99953a73e02cf657', '7418314e76240536', '210c21e8248a76f7', 'b14f5a683aba2898', 'dc99cb139204619f', 'd1d9e2a0e21a1a1c', '516c8c55994340c1', '2301bf4226984b79', '5dface4267be6f4b', '912649b3ee94f486']; context = [[1, 61], [94, 137], [195, 235], [38, 82], [3, 56], [118, 178], [116, 172], [188, 234], [66, 124], [37, 81], [7, 48], [28, 86], [114, 168], [16, 66], [3, 47], [155, 215]]; loss = 0.028523 low_pass_filter = 0.300
+Epoch 0: | | 21139/? [3:20:46<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 21140; scene = ['edfedbf216dffdf3', '8a307fdfce4832bf', 'ec1e22ee6784191a', 'cb2361e8fa21f3e6', 'd3faa50b5e4fbd6e', '9b318860f17dd778', '70addb57e49b4fa6', 'bd7b99bedcc90f02', 'aa1426eb9d35b816', 'b38df35ba9835cf0', '45061041e453e182', '05c1700c09437b52', '04db935b17a03775', 'e4284ea25d47d0e6', 'b7e386ba9ef4dac3', '4f31d4577d06a270']; context = [[1, 44], [76, 125], [83, 135], [5, 51], [21, 59], [97, 138], [10, 65], [2, 51], [20, 68], [44, 82], [132, 182], [113, 155], [22, 72], [136, 186], [105, 149], [1, 43]]; loss = 0.026218 low_pass_filter = 0.300
+Epoch 0: | | 21149/? [3:20:51<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 21150; scene = ['3053c34f9a88674d', '751987bed871acf5', 'd8981b5d48c6874a', 'b896589ac9f0519c', 'ffc3ee3799f598da', '0354ca9aaad69a18', '4ea9204e6a39cac1', 'a169d1eb79c6ef68', 'a84490f3e398adad', 'b667f148c3c3f676', '2d1fa96286992672', '5f29be3fbe5be1ea', '2c59a0d732f7a328', '62b96c0759cafb76', '8bc85fdaaf8e8473', '24fdad2594ac7d96']; context = [[108, 144], [4, 52], [119, 156], [9, 57], [3, 55], [31, 86], [157, 203], [4, 64], [15, 66], [8, 54], [27, 83], [5, 61], [38, 91], [30, 87], [70, 117], [118, 165]]; loss = 0.027081 low_pass_filter = 0.300
+Epoch 0: | | 21159/? [3:20:57<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 21160; scene = ['69bcf2ac9c8407d2', '5ccae548a56b2660', 'baebdb8ddcf2845e', '6ebab888069161eb', '6d6b7b3c93fa9c9d', '52b45b5c1577bab0', '420795d6a1a2af21', '2659ec816ec78ee5', 'e4c4750ddc1a58bc', '6e022744f8823ba4', '100c1419734fba67', 'cc8d60b67533bda7', '86cd3438e7d886c4', '13fc20c6d6d05c09', '11a2ff11b09706d3', '16567c3444d63d6c']; context = [[30, 76], [38, 98], [73, 120], [86, 147], [144, 186], [30, 82], [30, 81], [211, 259], [70, 125], [17, 64], [39, 98], [0, 58], [3, 41], [91, 142], [0, 56], [20, 63]]; loss = 0.031623 low_pass_filter = 0.300
+Epoch 0: | | 21169/? [3:21:03<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 21170; scene = ['f0a4a4cb065efa53', 'c44a4c1c3e9b3cc3', 'dfb8f1b208a8949f', '0db36affa33787b3', 'd823f528acb278ae', 'cd1d18dfeb3ffea6', 'ef3467589fd3709e', 'd7fd0247a853f44b', '965f0970da310cda', 'b3eddd9ecf75d2ea', '2ff7d3d179ff2ed0', '220133e56a34968b', 'dccef2390d0b6851', '795b958ce87d556a', 'ecbf048504e09969', '8624d94ced8a1d8e']; context = [[32, 75], [47, 94], [78, 127], [8, 57], [44, 100], [22, 73], [26, 68], [181, 222], [27, 70], [1, 41], [38, 84], [22, 81], [96, 153], [73, 120], [0, 51], [6, 59]]; loss = 0.023013 low_pass_filter = 0.300
+Epoch 0: | | 21179/? [3:21:08<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 21180; scene = ['3408995412c71eb3', 'c691beea7df05a40', 'fafa77e0610a59e4', 'aa1e963ae2f0a73a', '1d2da5cf4b75687a', 'f3ad8ae9b2a860ef', '1eb45f47b1509115', '15a3783a993e55a3', '5bab9e56ca2eabe0', 'e83dca98ff6fdc86', 'da782b30b0b6bc41', '3bd99b35d4566e6d', 'a4776e96ce74edc0', 'f82b6d49752b0776', 'dc0c9d0997f82183', '76f8c934d299d0aa']; context = [[24, 77], [175, 218], [20, 59], [0, 38], [6, 48], [2, 55], [31, 90], [90, 138], [9, 57], [51, 97], [2, 54], [1, 41], [17, 69], [31, 71], [121, 167], [79, 123]]; loss = 0.024199 low_pass_filter = 0.300
+Epoch 0: | | 21189/? [3:21:14<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 21190; scene = ['357b0a1d803c82ff', 'b733bb0772db7fed', '58b1d2b874df8f6c', '2cea12f37e8aff39', '3a76f3143a76e29c', '14cb2375e73a3bb2', 'dc4642c413a86efc', '1e77bbf67bedbe2a', '427f46e02cb986fe', 'ac28d515505f5fb5', '8b33508d134238c0', '3582975fa07270f3', '8c495b5341bc069d', 'a3fb8e5afd05a541', '0a8557008fd55c9d', '2db9f0491f5426e5']; context = [[42, 81], [31, 67], [6, 62], [15, 71], [111, 172], [44, 81], [34, 73], [1, 37], [0, 54], [1, 39], [59, 112], [20, 57], [0, 46], [9, 55], [43, 85], [2, 40]]; loss = 0.043396 low_pass_filter = 0.300
+Epoch 0: | | 21199/? [3:21:20<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 21200; scene = ['0c8ed42959e3baa1', '1a05eadb5bfe9298', 'a75d63654365b43c', '3ba13ddf102e36e1', 'b48dc4df6fb02f4b', 'cc4d298f4c09ac47', '9efccb0c776afbaa', '728c5f0905445ad8', '2278d80e7897dd5a', '4e6ba49f61d7c52a', '66c583ba78db2686', 'cf6618aadac4ddd9', '8b892aa99ab635fa', 'cc1a4a14236ea89a', 'ec09cd06976bb6ed', 'c7469d734caa6589']; context = [[39, 96], [6, 48], [150, 208], [9, 66], [25, 68], [43, 92], [2, 40], [80, 121], [9, 59], [11, 56], [17, 75], [83, 128], [118, 165], [48, 88], [2, 52], [33, 69]]; loss = 0.024592 low_pass_filter = 0.300
+Epoch 0: | | 21209/? [3:21:25<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 21210; scene = ['e898ad177bf5600a', '05d0fcfbe36d261f', '7ffd821c6ca83444', '120345336132cf1b', '7befac8bda5a40bb', '4e91a1e038ed07fb', '0872b2f13c69409a', '8bf67ed3d8a5a40c', '32322b4d2697fbe3', 'a8d7e9dd04d62e88', '28539816cac317fc', '86196d5ba4663859', '955a7c5bd2d51f1d', '11ed773aa2db9798', '6ff639afc2dc47a9', '24f22809ef5b7c6b']; context = [[158, 217], [43, 92], [27, 85], [120, 158], [154, 200], [57, 116], [26, 75], [53, 111], [6, 54], [44, 104], [21, 75], [42, 93], [14, 53], [189, 238], [3, 53], [93, 135]]; loss = 0.025450 low_pass_filter = 0.300
+Epoch 0: | | 21219/? [3:21:31<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 21220; scene = ['b2c3bbb92492ea30', 'c6e7d2560cc98ddf', 'e8d5d9efb11ec268', '8290c21ca69361ec', '941a34a5fe903815', '80ff240cf672bdac', 'f67ee51c76a6aa33', '250c4a4a83bfc356', 'a557bfdcbd9558f7', '547a595ec6671f74', '6bb71ae77f76b7ef', '6359caddc3e33c77', 'bbd22864c2c8c4e0', 'bae66b8175d11647', '4d2637e39b66f24e', '1d60c040046aab31']; context = [[95, 134], [1, 46], [41, 77], [62, 117], [18, 62], [0, 37], [9, 68], [2, 57], [19, 66], [14, 52], [27, 83], [3, 39], [73, 130], [6, 59], [0, 42], [67, 106]]; loss = 0.027072 low_pass_filter = 0.300
+Epoch 0: | | 21229/? [3:21:37<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 21230; scene = ['b814caa6ac18cac8', 'c39238964488b6c4', '96041496cf462c85', '94383a633887d7b1', 'e4b311b118cfb772', '7335179148d6e0c2', '03e1445429ae221f', 'c8ead779553c0bb2', '91cb408f09331728', 'b4dbe4441aad2bd8', '0f87b5b20e3140df', 'ac92cc602ac3cffd', '4fd60025fa875e4f', '8e87df9a5084ec87', '9191b2f74c5e2a97', '4a1a9c439eec4421']; context = [[12, 65], [115, 161], [61, 98], [29, 65], [214, 274], [2, 38], [0, 42], [37, 78], [14, 59], [47, 106], [37, 85], [0, 45], [25, 65], [48, 107], [50, 110], [40, 85]]; loss = 0.022813 low_pass_filter = 0.300
+Epoch 0: | | 21239/? [3:21:42<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 21240; scene = ['a9ca79ed8588a002', 'daaa71034676a92f', '84748b54ef68ebed', 'f1d1f2762f8c37fa', 'c519d78411b0cd89', '36aeba1abbc82939', '4cf65a1289e50ab6', 'aa3ecba2e35dc6b4', 'b488e28846b83d6e', 'da35cc9b10471676', '315f45e10716de12', '73691a68196265a6', '749172fb9b934474', 'b2c684cf937ba6c4', '452cde7ffeba4368', '6d12411b217f0b26']; context = [[42, 92], [28, 75], [34, 87], [1, 55], [15, 69], [0, 43], [115, 173], [12, 58], [21, 77], [58, 105], [7, 64], [88, 143], [0, 60], [74, 111], [4, 55], [4, 53]]; loss = 0.028908 low_pass_filter = 0.300
+Epoch 0: | | 21249/? [3:21:48<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 21250; scene = ['0cc3ceffb6ec9c37', '4f9022892bcbd383', 'a9f6bc6969653bc2', '9eb010e5e0fcaf41', 'fad770f517586475', '4a72bd1aef15ea48', 'e372c3adfad9f670', '00087de44e487f80', '44afbe117e79b0cf', '925e2ef503cbd738', '1d4b5d6f1f708dda', '1df5d60616bb1da2', '7ebcfa3f026cbe07', '130d19f9ec2f7235', '66b95ee15dfd4ea0', '9a8cd9d0c7314a95']; context = [[66, 106], [0, 36], [13, 66], [15, 55], [50, 105], [193, 232], [210, 256], [19, 57], [25, 83], [10, 54], [93, 150], [45, 99], [7, 68], [3, 64], [24, 76], [39, 80]]; loss = 0.024518 low_pass_filter = 0.300
+Epoch 0: | | 21259/? [3:21:53<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 21260; scene = ['7a3ec171d986c227', '903c0556273ddd04', '35502d38021916e4', '7e9dc66f967bda45', '110e8654d0595fa8', '94451d81f8e139cb', 'e00923b588e1ca61', 'c336b74e2c877b37', '38f562fb2b2ad4e0', '47c9630112006011', 'f6aed65bf9ebd5a9', '77d1f14fbdc4c65e', '4760844c0baec9fb', 'c51e726f22c1b2da', 'c94bb2dbaa678405', '4291eb01c594fcb2']; context = [[65, 107], [80, 132], [129, 167], [39, 83], [74, 135], [0, 55], [139, 187], [0, 49], [79, 140], [1, 40], [55, 95], [23, 59], [202, 251], [1, 53], [18, 68], [21, 68]]; loss = 0.026063 low_pass_filter = 0.300
+Epoch 0: | | 21269/? [3:21:59<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 21270; scene = ['54c2ffb9b031aa12', 'b03141d1d2429dcc', '930f0a917b4cfb3d', '2370a07a0d1e7930', 'cdd61981792b29b8', '8f8fd92008130071', 'f15ab5fa73a8b30f', 'cef967e6c2895c19', '06a2e5bec5c290ff', '0723036aaffa8c75', '4cff16e51b60bc1c', '844febece1121b36', 'ff26955ac80e19c3', '054deb949142152f', '3333b88b7b828755', '4aa5113cb53c2951']; context = [[95, 137], [80, 118], [0, 50], [46, 84], [6, 48], [3, 39], [45, 89], [215, 262], [69, 116], [57, 103], [135, 192], [1, 50], [24, 74], [0, 53], [3, 51], [159, 195]]; loss = 0.028410 low_pass_filter = 0.300
+Epoch 0: | | 21279/? [3:22:05<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 21280; scene = ['3f158594cbb7a77b', 'a8cbaa3a2cf23f3b', '7e7f5feb008dd9fb', 'da83ee87a69a3bf1', '5fc78da0b2bb89a5', '7032a676484c319b', '9232ef6ebf4bc047', '4fa9fd271ce7d88b', '34eec767c46f458d', '75b86a4e2efa0937', '451a1c207cfa9578', '64b0754b2dc4b71d', 'fede794659cac7d1', '20551c90baa98c3e', '3e6a362c565f1728', 'c1028e67d73c3504']; context = [[18, 54], [45, 100], [6, 44], [28, 66], [176, 232], [1, 54], [13, 64], [8, 46], [25, 74], [32, 76], [46, 107], [38, 97], [0, 44], [200, 254], [20, 78], [71, 125]]; loss = 0.028337 low_pass_filter = 0.300
+Epoch 0: | | 21289/? [3:22:10<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 21290; scene = ['f03ae27ded507fe3', '101a8cc8a0021ec3', '3d482adab376b844', 'eeab6fe931963753', 'e9d559d905f9e293', '42c42168f0fb01da', '3aa7b6c24c37a9a3', 'df8f7309507c4827', '9071525e59b0f5da', '4de8a7529e541417', '1c76055afe762ded', '3b21a07ae5de8202', '6e1c04ef3c6995a7', '03a58fa83025c7c5', '3fa8b5d99c8e3897', 'ddb6ccaebb0f6047']; context = [[11, 59], [4, 42], [5, 44], [11, 64], [44, 89], [1, 58], [5, 65], [0, 57], [84, 136], [12, 62], [1, 44], [62, 113], [3, 63], [9, 49], [7, 47], [9, 52]]; loss = 0.025940 low_pass_filter = 0.300
+Epoch 0: | | 21299/? [3:22:16<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 21300; scene = ['7abd2cf015e33118', 'aadfba62f23cd2d5', '67d059492bf13057', '7b7ad57e64ab318f', '95281743bb229945', '068d85c0b47f4628', '9e591049019c2996', 'd1543ce8abd3294c', 'b0acc39faf78464a', 'f1cfb383e8ffe58d', 'db0cf7e2f716f60e', '700759139479b40f', '9d37418a8797d12d', 'c21970a30701dfd5', 'd9069c7fde700fae', '3389d95fe43c8e5e']; context = [[126, 163], [18, 59], [189, 237], [30, 75], [67, 118], [34, 85], [54, 104], [23, 61], [60, 115], [42, 85], [51, 99], [154, 202], [8, 44], [15, 76], [56, 97], [18, 76]]; loss = 0.026532 low_pass_filter = 0.300
+Epoch 0: | | 21309/? [3:22:21<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 21310; scene = ['78f0f0a2f3f8b486', 'a168b9cb83649c5d', 'c613d873321c87c0', '08169229c028aebc', 'e76755f44544aff2', '9a05043c23516494', 'f3126c981b4e4874', '922b312f1b2be5fe', 'eee96125b14b7aab', 'b291bb89ef01171f', '459aa619d3066784', 'e9a6a38d1440dcb1', '30ffc95908cb9277', '904aa79c9222e00b', '01eb4536b5fd125d', '82d5dae301e9b703']; context = [[120, 168], [47, 87], [8, 49], [44, 97], [144, 198], [0, 39], [14, 70], [27, 66], [54, 91], [187, 240], [24, 76], [57, 105], [85, 140], [50, 108], [12, 50], [17, 78]]; loss = 0.030308 low_pass_filter = 0.300
+Epoch 0: | | 21319/? [3:22:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 21320; scene = ['7460f503eb18fa6a', 'b83b6d3d70390d31', '76a18d0254c0b9c2', '448fdbb3ff945d74', '33de72823ba5eabf', '61d39a97cb69d99f', '07cd1b67ada47264', '16963eaf7a052feb', 'ca0654a08cea1999', '9e6a9dbe050a1182', '6882e4590bb8ff85', '64dd4467e8084374', '36664e22fd10a141', 'f0a3586f86ff1419', '62fb64631e202247', 'd73f44859940e79a']; context = [[39, 78], [21, 69], [118, 157], [11, 56], [100, 144], [12, 53], [107, 162], [214, 255], [16, 66], [73, 125], [37, 85], [1, 43], [1, 59], [19, 69], [19, 65], [3, 45]]; loss = 0.027658 low_pass_filter = 0.300
+Epoch 0: | | 21329/? [3:22:33<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 21330; scene = ['fa5dc3f82887cfad', 'e1d7b52a30d60b2a', 'c09d7898ef37ba32', 'ebd8b74b0fd45d82', '117d1c9fd462963b', 'b20a4bb379340290', '177b664f6c8eef6b', 'f7dffb88e8919a7e', '0179a441837af0b9', 'f467ebdc9fa46707', '7001f2125bb0a274', '44f26d002b648c08', '4141f50192fca0a1', 'ad880359a06025b7', '34df4fbaef7d0f8e', '8c8885e9f17b9274']; context = [[100, 155], [213, 254], [31, 71], [6, 53], [11, 62], [14, 73], [17, 53], [109, 168], [209, 247], [50, 108], [19, 59], [53, 98], [49, 91], [9, 46], [0, 36], [30, 85]]; loss = 0.026095 low_pass_filter = 0.300
+Epoch 0: | | 21339/? [3:22:39<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 21340; scene = ['0d17e709818fb499', 'bccb2d322b8bd512', '068b869b3861f8fc', '1c75685f0307f79d', '7c7f933f82eef98f', 'cd60c1e602023a78', 'fc9f71327402e98d', '7aa14ec3129d58e2', '2edee3bc2b071498', '24f919db9f3b1445', '0fd39c0d034b543c', 'c1fe773fdeb1a972', '230ae34894c1c55e', 'b9c8b11a5063e930', '8f8d360604f220f7', '9fa595fa4e09943f']; context = [[65, 125], [23, 71], [1, 45], [75, 115], [0, 37], [25, 63], [10, 68], [116, 173], [0, 46], [58, 113], [26, 76], [27, 82], [14, 72], [83, 139], [124, 172], [3, 63]]; loss = 0.029280 low_pass_filter = 0.300
+Epoch 0: | | 21349/? [3:22:44<00:00,  1.75it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 21350; scene = ['2721d4e119602b3d', '815fc179de449468', 'd00a6449d44d9822', '7b2f71462829b280', '2946089a31aa5810', 'ef29879c5829b95a', 'd33a9339f83571d1', 'd6211fae193ad931', '417c9606a7d23e1e', 'f2a78c5c272a3009', '67d8efc474193da2', 'a9661ea3b30c456f', '7b2603917973d2f5', '57859a70dfbd78d4', '0ce35beba18e98c5', '9900d32431eac9e6']; context = [[49, 85], [0, 45], [22, 71], [9, 50], [69, 110], [96, 152], [2, 60], [149, 206], [66, 115], [16, 74], [8, 65], [15, 64], [153, 212], [211, 270], [66, 116], [123, 160]]; loss = 0.028200 low_pass_filter = 0.300
+Epoch 0: | | 21359/? [3:22:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 21360; scene = ['4ce1f57f4f4511e1', '324471947ba558ab', '356b851ccc42bcf9', '9a3bca9be5b926ab', 'f69a10e45ff41f9c', 'e1627125e0d4301e', '607df4cb27b5f8ca', '1c2d33b30f3201f8', 'a58980998f8df20f', '5aca7006794b4c08', 'd55acb865cbef94b', 'd957aee02957a578', 'f7cbb66b48c9008e', '5979f56b953ff1cc', '1b29bfcdb2b14d83', '5258d714dbd81b7a']; context = [[62, 116], [13, 51], [41, 101], [15, 61], [152, 194], [19, 75], [23, 72], [47, 86], [35, 85], [26, 62], [117, 175], [5, 58], [7, 46], [57, 94], [4, 44], [10, 58]]; loss = 0.027305 low_pass_filter = 0.300
+Epoch 0: | | 21369/? [3:22:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 21370; scene = ['f36cf47d7433abf0', '7fd277e5b05ceba5', '683c4fe20bb08898', '46ef434380db311b', '2d028ca4f2b793c9', 'e847af48e0a4f411', 'edfe56997f23fd03', 'ac635718f0df20ce', '9dfc77c50a277b26', 'c2dfcf83569faa75', '37321c182e5bf3ed', 'a050ff56fbb4233a', 'd2a9abc9f488ab92', 'cbf4f24d31aacf75', 'c326a47d6f346e43', 'ee3aa9f733529ee4']; context = [[131, 188], [54, 95], [8, 50], [218, 273], [207, 253], [3, 52], [25, 76], [117, 175], [16, 72], [54, 103], [1, 62], [9, 52], [6, 45], [43, 96], [5, 63], [36, 76]]; loss = 0.044785 low_pass_filter = 0.300
+Epoch 0: | | 21379/? [3:23:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 21380; scene = ['03f786b8eb33e189', '66ca2e899ae0b7fa', 'd78cce7a4c0b9400', '4970e1f83ae82834', '6c3a059a4bb42347', '5f9e388efa364f74', '45a9f07df2162f72', 'a78020b5a2368473', '8c9aa1244d6b8737', '9aea9a519266134e', 'b220e8591b6048ba', 'c0b9d76884655dcd', 'f75e151b66f83348', '5e55f309753b5ce4', 'a90cd28742cee5e0', '3cbe6fe0f3f71e16']; context = [[63, 105], [60, 109], [19, 61], [92, 146], [28, 69], [20, 63], [50, 105], [28, 65], [24, 85], [64, 102], [57, 118], [0, 41], [49, 108], [28, 66], [11, 65], [22, 65]]; loss = 0.024859 low_pass_filter = 0.300
+Epoch 0: | | 21389/? [3:23:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 21390; scene = ['c1c5fff11944cfdf', 'eabe9e828d909849', '0f9643bbc676ee26', '6369c03b608f93e8', '11e8cf6f83a5c2c4', '6aa7f62a894832b3', '33a4f0b50fe45942', '7e57e05e1974ed8b', '9a94d16f8d2ef43c', '0c8c5b5b310995b7', '0ad1ec9588d9b83c', '1b1648bd70cb7c7f', '5fdf03b1ceb9135e', 'b3c17c4058b61df2', '8cd1b09ae767cbed', 'dda6eb6ec007ce39']; context = [[5, 41], [1, 57], [9, 58], [121, 163], [17, 73], [40, 83], [103, 144], [166, 221], [13, 58], [21, 76], [29, 88], [29, 90], [7, 48], [0, 51], [26, 63], [0, 41]]; loss = 0.025568 low_pass_filter = 0.300
+Epoch 0: | | 21399/? [3:23:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 21400; scene = ['05f2e4e62301ac6f', '769eac54952cb6d9', 'fdb40b75798904aa', 'e54270e8e039760a', '02f102fb7456ad49', '68b8b50bb5f5e3cf', '79d8736fdaabaa67', '45ba7b9c8d4697a1', '4789f20a91882ac2', '61ea027543aa0282', 'bf72ae628f0b24d8', 'd953c394eba189af', 'd101a39a319befa5', 'b2ce83d2be098fbc', '62ed93b209157a0e', 'c97d905b9b4be11b']; context = [[54, 113], [8, 64], [12, 58], [56, 114], [49, 106], [27, 89], [14, 66], [73, 135], [46, 97], [35, 83], [138, 194], [27, 69], [16, 57], [11, 66], [181, 237], [22, 79]]; loss = 0.030351 low_pass_filter = 0.300
+Epoch 0: | | 21409/? [3:23:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 21410; scene = ['9ef7e60ae9442a54', '43b6772d1f71154c', 'eb9d8eedd458413f', '0d8baf4928c7d7bb', '09e5d6b70f63b936', 'c40e2441c1abd305', 'd5616c51b75cea9e', 'c5ce4146d1b806f2', '5f488b72ead7bb74', '1a7204b603b0c765', 'd4fc4782d0b37d26', 'd05e005f82536372', 'a26f6e7deacaa157', 'f914acd76dc2439c', '2c79e7485cc28534', '21e72cbe7342ef40']; context = [[4, 53], [2, 54], [54, 110], [52, 104], [53, 93], [7, 64], [35, 88], [26, 76], [77, 131], [19, 62], [4, 50], [70, 109], [1, 61], [10, 64], [13, 54], [29, 83]]; loss = 0.027390 low_pass_filter = 0.300
+Epoch 0: | | 21419/? [3:23:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 21420; scene = ['6d322c643d809c22', 'a0d29e9989811e9f', '0fbf74f0807a4caf', '67c2294f74cf1042', 'e5a301429b38dc20', 'a37747c6526efa19', '3e965916afe80294', '349adf5eb45ba3bb', 'e1dbf381c5e6062f', '5b18716a0a11c1b3', '8ebbf8173feadc66', '19f6678bdf05a160', '5daf60c2889a7f27', 'bb8a5184b240c45d', '8449ce38df1d5159', '103ff72c7bde3074']; context = [[33, 77], [32, 87], [112, 174], [2, 46], [17, 78], [36, 76], [0, 39], [3, 40], [152, 206], [106, 163], [33, 89], [19, 63], [162, 213], [44, 85], [24, 78], [21, 78]]; loss = 0.024491 low_pass_filter = 0.300
+Epoch 0: | | 21429/? [3:23:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 21430; scene = ['737840feb893c837', '24bf940f1f32fd17', '6b5a51c67c4657b9', '0e430efe14f4b9e0', '71e42381b4ef3fdb', 'd02ff663fe8c426b', 'bbce012515d4884d', '6c46572e24efcbad', '9818f405d4141244', '7a2844b5e0ca5120', '4290b20ce8737842', '9a54201f9e2fd9ea', '189366a33885235f', '5bb3babdc48efe4a', '0a73ef739700242e', 'ed4eef359d0fbd35']; context = [[87, 127], [4, 49], [100, 152], [21, 77], [11, 51], [20, 71], [16, 74], [17, 53], [62, 123], [211, 269], [42, 99], [8, 67], [132, 172], [78, 139], [53, 95], [5, 55]]; loss = 0.028827 low_pass_filter = 0.300
+Epoch 0: | | 21439/? [3:23:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 21440; scene = ['3b1f9bdde0850925', '39f88cbb30ad5e3f', '39a2d85b6232fee7', 'b5ab1fc1af5f5665', '15c0e084366a0311', '11f155931a109e15', 'd4fc984a9a2dc78b', '5e6e341001a8b693', '95a6fae4dbeb6546', 'f4f0f0d4a554cfee', '3e29b2bd42f47e28', '3647ff5e90d6af43', '52079a38d11843c2', '264e8509690b1ea2', 'bb8a1e105ddf619e', 'b192a5f7772b70ec']; context = [[55, 108], [0, 40], [0, 42], [223, 274], [8, 51], [187, 248], [164, 224], [151, 201], [45, 86], [6, 46], [2, 40], [3, 54], [71, 125], [40, 91], [37, 82], [58, 103]]; loss = 0.027145 low_pass_filter = 0.300
+Epoch 0: | | 21449/? [3:23:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 21450; scene = ['3210b93b625ab01a', '8f0cbdab2a052481', '87c678cc46428072', '36f9057d4281450c', '2c92d1356e2db4b9', 'eea5ecf9f3e44ab1', 'ba900a3e66766a7a', '5ae181b7e72bbaf3', '39357cec4dfde0c4', '2eb7997ba431e752', 'd887ff15fda99b2e', '11b228589e3142d8', 'ae8b750581750b0c', '607434a621ce31a8', 'da7bc556e451a90b', '26bbe9550ed68e33']; context = [[62, 107], [81, 117], [1, 38], [97, 152], [9, 46], [23, 60], [28, 88], [1, 60], [19, 69], [1, 43], [28, 67], [52, 112], [44, 102], [84, 142], [106, 160], [18, 64]]; loss = 0.055885 low_pass_filter = 0.300
+Epoch 0: | | 21459/? [3:23:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 21460; scene = ['c957dbe9ee80ece1', '38f7386e936c3081', '8d6c0e07045f435f', 'cb6121df5bf759df', 'af16df876bd332c8', 'cd53364ead1ed07b', 'a44f967ae97ddedb', '796821d68a38422d', 'a52c8d3fdc9806f5', 'a1d908a4dd169770', 'a16de186055bceb7', '7dc5c394263df267', '3fc603b4c4531c11', '7efe572aca0b57ef', 'de0c2fd682eedb42', '1b585c8a5c9d0228']; context = [[5, 45], [159, 198], [23, 84], [18, 70], [41, 98], [58, 96], [3, 50], [52, 107], [26, 65], [7, 43], [1, 40], [20, 59], [79, 115], [58, 120], [44, 100], [4, 54]]; loss = 0.026592 low_pass_filter = 0.300
+Epoch 0: | | 21469/? [3:23:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 21470; scene = ['9e4ed17f5acf397f', '6c1206705158a4bd', '5b42c714b345da65', 'a39e4a70e09d8240', '978e3cf480d4f9a3', 'c494a2a9c1f9d2af', 'ee9c93086f82a626', '7ac2220e1acd3816', '23330a56f34fec23', '10ef289b28ab324e', 'a644bec298d08fd8', 'e3a011e739647f75', '070541f4d998a7f4', '472ea6a36fa2d883', '8732aa2851a261d8', 'bb4983029146d2bf']; context = [[19, 70], [41, 85], [28, 80], [14, 70], [9, 68], [4, 56], [0, 42], [1, 62], [57, 110], [10, 58], [49, 111], [11, 48], [31, 70], [46, 103], [4, 65], [18, 64]]; loss = 0.035233 low_pass_filter = 0.300
+Epoch 0: | | 21479/? [3:23:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 21480; scene = ['7b0443eefd68756f', 'ffda743d376dcde8', 'ff1a64808d8981a4', 'd62c060a62da110e', 'bf0755be50798d45', 'f24b2611ba45a2cf', '9ca80f3ebf759df0', 'b45e47d231088428', '2ed8d2b8c1159862', '241096ca94ccb259', 'c81095ff7cc7034b', '882fdfbe720a3236', 'd81116dc8c96547e', 'b74cd30ef141705d', '1b4d5f002f5af86c', 'cbe056c6fa310143']; context = [[32, 76], [3, 49], [21, 74], [2, 47], [53, 95], [43, 85], [2, 48], [15, 68], [9, 69], [106, 161], [38, 81], [80, 140], [95, 138], [21, 82], [0, 36], [25, 68]]; loss = 0.031735 low_pass_filter = 0.300
+Epoch 0: | | 21489/? [3:24:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 21490; scene = ['a6c866d1b23c3bf5', '9911e5bd5013874e', 'c6b9472bf055527a', '1f0ed2f5fecc5354', 'd4642a649788a10b', '45da746b8cb04863', '845dddb2e014cdc9', '83ebc32def5a3967', 'c7f1be8551fffb8e', '8dada1b00a394314', 'fa3080b291d02ee9', '59e94a32e670efd7', '7b80aa09b7f21186', '984ffd413db16533', 'ef2a0c327852b774', '50d0d7cf5b19eeee']; context = [[0, 43], [91, 142], [14, 56], [186, 241], [133, 177], [13, 68], [66, 117], [42, 87], [19, 75], [28, 85], [78, 127], [32, 72], [77, 118], [13, 57], [115, 170], [28, 85]]; loss = 0.025358 low_pass_filter = 0.300
+Epoch 0: | | 21499/? [3:24:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 21500; scene = ['e4284ea25d47d0e6', '9e7127fac4cd1710', 'cb9af04471339189', 'a348e7e5d35e62d4', 'beae259803b77e1f', '8dd9982d07e06ad9', '82d49340adc62a9e', 'e63f5cc478795d64', '3d8df97f0ddd375e', '638d352a194d1acd', '8764351a0a93925c', '76c9ccab60f76b18', '457bf2a6a77fda7f', '010571c8c397a29c', 'c505f66cce14d75f', 'fb4346a6849d5886']; context = [[17, 60], [74, 121], [182, 223], [162, 204], [37, 79], [19, 58], [210, 248], [101, 140], [22, 64], [2, 49], [103, 141], [41, 90], [175, 226], [157, 217], [19, 71], [57, 102]]; loss = 0.031018 low_pass_filter = 0.300
+Epoch 0: | | 21509/? [3:24:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 21510; scene = ['592feeb20bc84cb7', '53c9804b50ad99ab', '13ee40f99ef3fda7', 'e387c66e18137d25', '168efc21cebfe627', 'd1c3b86e61e4b745', 'cb3dc5a6d4e40430', '543822331e271917', 'ede486da04ebdc56', '0f249091b268d203', '89c3dc5c2b6ca1ab', '15592e57716c6463', 'b7264c9330e22b41', '106fe8209a72148a', '0a91ba693acb65d5', '1b0e42c4f8fbb88d']; context = [[177, 231], [7, 60], [32, 88], [5, 44], [103, 149], [75, 112], [46, 104], [10, 65], [87, 124], [32, 86], [40, 81], [9, 51], [42, 91], [24, 63], [64, 112], [22, 59]]; loss = 0.027123 low_pass_filter = 0.300
+Epoch 0: | | 21519/? [3:24:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 21520; scene = ['b7ee16db7f015691', 'a02b07e50615b1c7', 'cef5007856952e1a', '54abe04a860be8ba', 'd21b4712102f9305', '465b9fe249839356', '6e8010eb6c8a9ec3', '74cd4780d17db619', '664f022c412506b3', 'a41cea2a724f05a8', '59cc7e5e11910e19', 'd3741e9507f27e73', 'bbb434919482d961', '2a4a3612a4931819', '6a0c40520833351c', '7827b97afd6af034']; context = [[147, 187], [182, 244], [21, 78], [12, 71], [51, 111], [73, 134], [10, 49], [0, 58], [92, 134], [35, 75], [19, 62], [161, 204], [4, 44], [82, 138], [151, 195], [43, 90]]; loss = 0.025429 low_pass_filter = 0.300
+Epoch 0: | | 21529/? [3:24:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 21530; scene = ['08995d12c844a39e', '244f77df7b4aeb64', 'f38d65464a5edac1', 'e724e954dca8ada8', '11fb88a773d40b0e', '63fa54e068bf95ff', 'f26c35b6e5dca2b9', 'afefafce8f467d96', '993a85e1b690e97d', '89fbc4149a5d7348', 'd0ee747ebdd26d7f', '09223c50d5a39b7a', 'db3d51c462a54a7e', 'f26e8a72f69b6153', '2059d1d6c79bc51b', '58901334e2d813d9']; context = [[2, 44], [45, 87], [26, 79], [113, 155], [196, 246], [65, 104], [21, 78], [5, 60], [53, 98], [201, 248], [26, 82], [99, 157], [77, 114], [160, 218], [7, 59], [49, 108]]; loss = 0.026154 low_pass_filter = 0.300
+Epoch 0: | | 21539/? [3:24:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 21540; scene = ['c732343e2378ffe1', '2909e9a7913b4162', '6369c03b608f93e8', '11e8cf6f83a5c2c4', '33a4f0b50fe45942', '6aa7f62a894832b3', '0f9643bbc676ee26', '9a94d16f8d2ef43c', '7e57e05e1974ed8b', 'c1c5fff11944cfdf', '0c8c5b5b310995b7', 'eabe9e828d909849', '94f8af540f480a57', '8dc4d3224aeab6d1', 'b4692cbaafb76fd3', 'bb62628e198d0bf7']; context = [[19, 72], [1, 56], [101, 145], [222, 262], [29, 89], [5, 59], [65, 107], [16, 52], [215, 272], [39, 85], [157, 201], [10, 68], [16, 62], [4, 48], [44, 106], [212, 273]]; loss = 0.027166 low_pass_filter = 0.300
+Epoch 0: | | 21549/? [3:24:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 21550; scene = ['967d0d422fed326f', '1b3e33a1b1c8d2b0', '61b511610991a0fa', '36a2bf6ffbf3f02c', '36f19d3edadc5a48', 'b3eef8ecc24c5d4a', '7aaade6304f4d492', '6cca94828ea4d7c5', '5bb77d4bbbe47426', 'e954bc5b1bddf0f2', '3892c6ff9c95b765', 'e8d455c310009ca0', 'fa29dd343b1232bf', 'fafb4ea9e592b903', 'b0a18edee7df36d8', '6616e4bf86495b11']; context = [[11, 71], [33, 79], [96, 132], [25, 71], [43, 92], [61, 110], [91, 138], [4, 60], [41, 83], [6, 58], [143, 195], [2, 59], [43, 87], [10, 58], [3, 45], [105, 145]]; loss = 0.031272 low_pass_filter = 0.300
+Epoch 0: | | 21559/? [3:24:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 21560; scene = ['cfc6396b2c66cf16', 'acce13e84d3dd931', '7cfeeacb5878e4aa', '228f8aa9a637a9c1', '9b6ca3cfe5886688', 'c35cc5f2832c6c1f', 'cc0d9b3c6f77b172', '5e79dae0930185cc', '329e73ec99456771', '8fe2890aa478023a', '394e6218a0938518', 'ab6cd47b1ae67af4', '65339c35edabef23', '9e3070f594378795', 'a8dc0f3c0d970061', '117a42783de86881']; context = [[136, 195], [13, 67], [13, 71], [40, 85], [146, 205], [0, 37], [11, 63], [7, 50], [139, 179], [3, 63], [107, 147], [9, 69], [33, 86], [70, 107], [52, 111], [168, 218]]; loss = 0.029328 low_pass_filter = 0.300
+Epoch 0: | | 21569/? [3:24:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 21570; scene = ['4ae447fcc0d0c2f9', 'fae64c7efc1efe1d', 'e8f2a9d8809cbb5f', 'd58c9ee06ec6f28f', '43afc7d30bc60f7a', '742dd935b1e80082', '33f6234f6414324c', 'cd7a270da6f6da4a', '363163aa8eb9a2dd', '3c74942b2a1ebb46', '0274ae92b3b40648', '56f96532473be1b0', '5b939cb51f37b330', 'a563a9ac0035602f', '9293a58af522a70b', 'f6d48213ef0665a5']; context = [[12, 48], [13, 68], [46, 104], [33, 81], [151, 211], [43, 101], [57, 100], [27, 65], [18, 57], [12, 62], [20, 56], [18, 58], [1, 46], [22, 60], [8, 46], [40, 88]]; loss = 0.025774 low_pass_filter = 0.300
+Epoch 0: | | 21579/? [3:24:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 21580; scene = ['263f0d42e8710c65', 'd4feaec801a34163', 'b00b0366223e6877', '0f01b8eebfadbfe0', 'db90db656da7ff73', '530bcd81d8f61dfd', '4c48f3917eb0968c', 'c049ee736ade99e1', '8769f0f6650d769d', '24ed74968bea707d', 'cc66d286f13fb193', 'a3dcf985957f8e10', '10869961ce9a0083', 'e58bf9d7af3ee289', '88fdbfa7f91b3410', '0c2a293c53fc16a5']; context = [[12, 54], [16, 66], [6, 59], [31, 73], [60, 117], [53, 90], [67, 122], [30, 91], [7, 47], [36, 83], [1, 41], [91, 134], [114, 156], [81, 125], [3, 60], [26, 71]]; loss = 0.025227 low_pass_filter = 0.300
+Epoch 0: | | 21589/? [3:24:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 21590; scene = ['0394a4ce9666834b', 'e9482c8918ba452d', '7a0bf37b17611a89', '3adcf3d4106281b0', '04719d552f4d9d25', '1e6f4b7d9bb12ed2', '71b4b0904fbb4269', '88cf24f0c9dd93a6', '24d99efd78aa36b8', '19861a4bdefcdabf', '7073053a1ff0206d', 'e46bfc605bc405f1', '36ae47b315bb99fc', '4b9ed7532c875dab', 'f7805054a28b6ed8', 'c0f128f783625ed0']; context = [[16, 74], [76, 124], [134, 184], [10, 49], [13, 56], [147, 207], [2, 40], [7, 59], [69, 131], [0, 38], [13, 56], [92, 152], [25, 61], [0, 40], [21, 72], [28, 85]]; loss = 0.026936 low_pass_filter = 0.300
+Epoch 0: | | 21599/? [3:25:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 21600; scene = ['9640c9d0bef9ad9b', '1620ee65c0c87b4e', 'f8d7d5f83350ba50', 'de3ccf8d3c418bef', '1e2c9a89cbf36161', '98f7a067bbb96008', 'd7f2d82f83e70693', '807a812350f25893', '51d68b77c408e914', 'de36333a5c68eb32', 'd12ccb9176baca06', 'e942de9a7b77dc44', 'fef9d317e71c3122', 'bb83dfc9326dcece', '5dc77f428548ef6c', '6368bc9ee243f179']; context = [[8, 66], [10, 49], [71, 125], [64, 108], [186, 231], [3, 50], [120, 167], [49, 103], [19, 81], [11, 69], [12, 66], [116, 177], [173, 228], [59, 118], [18, 55], [137, 181]]; loss = 0.029015 low_pass_filter = 0.300
+Epoch 0: | | 21609/? [3:25:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 21610; scene = ['ace36f4f78eba6fb', '45ce373b035b8fd8', '0fa74425b75be77d', '260daae5c4e5ef5a', 'c4b188678255126c', 'e0080506fa76c083', '7982de92dc8af2ae', 'ade44bf3e35c9262', '955bddb48214275c', '457b960b904a9595', 'c59b6b514b506abc', '6e47e3b29341ee52', '1c59697ef3c615f9', '9af839610cd16e53', '98377a86faf72416', '6b7415674deeebbf']; context = [[141, 202], [21, 73], [0, 38], [64, 111], [0, 54], [34, 95], [0, 38], [197, 246], [44, 93], [174, 236], [38, 83], [3, 56], [8, 61], [205, 267], [161, 200], [14, 75]]; loss = 0.028548 low_pass_filter = 0.300
+Epoch 0: | | 21619/? [3:25:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 21620; scene = ['f6e4d0c5dc9c8416', 'a80ee48cc67b439b', '29b0d579d639f287', 'd5823a68b648b87c', '94e215648c3a36ce', 'd66c167f8b4d2356', 'a79d2b4e742e01f7', '14af89bdc75382ab', 'fc8deaf763806c66', '90bdc80baa33848a', '467e6cb4bcb7fc53', '43c4c89b3414a0fc', '851ada2e51906f3c', '956df4359a5b3ced', 'fcb1af0ebe6926c7', '252aa7d6ffb0422d']; context = [[15, 54], [0, 37], [14, 71], [30, 67], [189, 228], [0, 59], [131, 172], [7, 65], [2, 57], [68, 117], [21, 73], [57, 112], [42, 94], [166, 206], [7, 66], [8, 60]]; loss = 0.024351 low_pass_filter = 0.300
+Epoch 0: | | 21629/? [3:25:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 21630; scene = ['3f93267f27496d70', '7edfe804c8e458c0', '5763cbee9140b5d1', 'd2d46a53ce85782c', 'cf1a708223033c48', 'b1130040cfd2f90d', '7814de64263ff0b6', '26e0061850a99a8d', 'e7df13eca6bc6264', 'ca9d6e24ae21f2c9', '9ed1d7c9ed46065c', '0946f45440ad5b0f', 'a95046148af8e606', 'e95687cad1947692', '8705a0db1225c81b', '1ab78e27aca2d344']; context = [[8, 48], [9, 54], [31, 80], [14, 73], [90, 133], [80, 117], [7, 45], [35, 72], [103, 147], [110, 162], [10, 61], [27, 87], [16, 56], [10, 64], [36, 93], [114, 164]]; loss = 0.027300 low_pass_filter = 0.300
+Epoch 0: | | 21639/? [3:25:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 21640; scene = ['7cd7cc90b4b3cc3d', '808fb9f8f6ffaea3', '2713e0ee94fa2fd5', 'ebb723e2df92ac0f', '2f029575738d520d', 'bab915d8f5e78e91', '6ea5e62c178f6127', '5afb45fc7fd3c865', '6c89d1c9dece310d', 'a0b34f5d4d3ad074', '6b6daecb04d78e6e', '3fe72e64dc7d76c3', 'b312f660891eff99', 'dbdce7dfc5780e6f', '3a3bbbfe1b04ac16', 'ed7b1daf041fc146']; context = [[79, 126], [1, 51], [1, 55], [9, 61], [27, 80], [69, 128], [0, 36], [38, 79], [12, 50], [102, 152], [111, 154], [7, 60], [24, 68], [28, 74], [61, 107], [11, 52]]; loss = 0.067553 low_pass_filter = 0.300
+Epoch 0: | | 21649/? [3:25:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 21650; scene = ['97d3c7979447dd8c', 'e96cb36ba03824cc', 'bce74d743b6fdc0e', 'fd2445087b521bed', 'b17ef7cf07069daf', '049445c627d6850b', '2e7e83f0936f48ed', 'cdfa2ba7d2ed2047', 'd1adbcd382e291e2', 'bc0416bb78a802ee', 'ca54e98bf836370d', 'dfb2e9e573f4546c', '3ba642d8a177b665', '229d95aa1bf21e73', '906fbd1ca67ad39a', '6db367f58699de50']; context = [[4, 46], [110, 162], [193, 229], [109, 164], [13, 60], [62, 103], [120, 171], [12, 67], [80, 124], [21, 76], [219, 266], [59, 106], [128, 178], [8, 67], [3, 49], [51, 95]]; loss = 0.027685 low_pass_filter = 0.300
+Epoch 0: | | 21659/? [3:25:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 21660; scene = ['e8850f26fa325fec', 'cd3d4bd66ce644d8', 'eca4925a2205ecee', 'ba76bd997075d586', 'ee6dc6861a1bbd73', 'b4997d7f4158f26e', '05f80e0d407580f7', 'ab2ce8410384c1d3', '450fa68d31194b5d', '3a5d490ae40aa648', '164d871ee7844211', 'f863800d0b6b0c63', 'cb24af0d38869d52', '8ea56bfe40784cf0', '20a63ccab4351b9c', '3bfb96911971e0e3']; context = [[18, 61], [89, 127], [84, 124], [40, 87], [1, 41], [37, 97], [6, 59], [3, 64], [4, 47], [25, 63], [35, 77], [138, 176], [53, 91], [27, 64], [132, 172], [49, 91]]; loss = 0.029048 low_pass_filter = 0.300
+Epoch 0: | | 21669/? [3:25:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 21670; scene = ['680c110fec1cfd6f', '6a9ef43aad817a17', '43f8b70f4a7d39a8', 'b43dfc6680f84101', '4264fb9e606e7b41', '43df8b14b0450f89', '5f325561d9f76fda', '81f07dd22d17b17a', 'b8671aaa80344f5f', '0a3012464d2bf379', 'ab6cf8dbf75be791', '96a72c23cc148c1e', '3530f6b502c4870a', 'da33b0ed32034f61', 'af662abc8d684583', 'f05d3d6ad73a0308']; context = [[2, 50], [14, 51], [54, 93], [203, 255], [24, 82], [26, 70], [110, 159], [69, 119], [33, 89], [67, 115], [115, 174], [24, 71], [94, 146], [45, 93], [116, 156], [37, 81]]; loss = 0.026525 low_pass_filter = 0.300
+Epoch 0: | | 21679/? [3:25:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 21680; scene = ['a3e35447a265420e', '1076115a2423eba0', '17cc89e5dc2c24e4', 'a99c3462689c6eda', '7680be94e005fde6', 'fe4eaee590abcebc', 'be7fa9414da75873', '22fc661d65e41a60', '037e63f88287f302', '4053b2c1b94f9e68', 'b13fb8a7c8f686c7', '3244c1a0f0a62eb9', 'e2edab5b52966c17', '794460d142973b66', 'a2d98d79eb90487c', '519f68765cb5c6cd']; context = [[187, 229], [6, 49], [109, 159], [10, 47], [58, 111], [11, 65], [35, 74], [6, 56], [3, 45], [18, 68], [15, 52], [170, 221], [51, 88], [36, 78], [163, 217], [27, 67]]; loss = 0.026003 low_pass_filter = 0.300
+Epoch 0: | | 21689/? [3:25:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 21690; scene = ['540daa97e9bee596', '54d4ced992ef0be9', '2285f6706d6df696', '00a907a68edf05c7', 'ebc7d29df9f0118e', '68202dbda0564cc9', '85e7bd689f02a846', '56b52d634f3a3d1e', '437c8f3d17f24018', '6c6448162ad80c6f', 'c6beb6cc90853cee', '8bdd245418f71b00', 'd936dd442514c73f', 'e2fe2859c146b8c9', 'babe6aed44fb7090', 'b2cfbaf2c3d29d35']; context = [[92, 152], [12, 49], [30, 82], [5, 43], [13, 62], [7, 69], [40, 96], [6, 51], [16, 78], [51, 101], [21, 57], [6, 45], [36, 72], [22, 67], [8, 47], [21, 65]]; loss = 0.029091 low_pass_filter = 0.300
+Epoch 0: | | 21699/? [3:26:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 21700; scene = ['e4cf54f3d79d3f47', 'a02173ec86dae4ba', 'fb51740f9f91aac7', '1675958d1a94603c', 'bccf9a3c137d10a0', '24cc99fa62a245e4', 'ae55f82e5c275523', '8234e036ca5e340e', 'a168eb962c3df37e', '0f6c4e8f67bfa0ee', 'b913ee29a9954d95', '23ec4735aa0a67bc', 'f98d6c32648cdc8b', '9ad88af7e2443b55', '0a9e82926ed00bec', '5c88629cb0741db4']; context = [[23, 80], [33, 78], [5, 67], [22, 68], [26, 71], [27, 81], [2, 59], [20, 68], [67, 110], [3, 50], [54, 96], [73, 112], [11, 49], [23, 65], [5, 43], [24, 61]]; loss = 0.026512 low_pass_filter = 0.300
+Epoch 0: | | 21709/? [3:26:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 21710; scene = ['4accd24ff264058a', '2719c26d03b2054b', 'c08c2645124ad5d7', 'c223600fd4ba02d7', 'eb843846f25383d7', '71bab239be5027e7', '62bd65e4def165cc', 'd4edbb012745f266', 'b3983cd4e51bb0cc', 'bf9ec375e188cf4c', 'b7e0b9bdf95327a9', 'a9d8fed6650ea907', '6b39ed64ff475531', '7015660a6edcfcff', '3e0804dfec129441', 'c7e826478c32e990']; context = [[19, 75], [50, 86], [73, 128], [0, 61], [15, 52], [5, 46], [18, 69], [98, 135], [28, 70], [13, 62], [41, 89], [11, 57], [0, 62], [6, 61], [3, 57], [89, 132]]; loss = 0.030551 low_pass_filter = 0.300
+Epoch 0: | | 21719/? [3:26:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 21720; scene = ['fd7f996ea6606892', 'eb0ad402ba6f499c', '4180411482979dcb', 'ef05d8c3781ff579', 'c9640bf752471029', '5db087f55931870a', '9e7b0e6b126a0449', '96824b99a698d846', '94304e7878021cde', 'b1e149b34d6b16f3', '1d5a30bb1267f67b', '437215dbbb21544e', 'dc044b71b712f904', '79afe1c4794f8fa1', '4556e49b3a92641f', '031d281bf02eb1e7']; context = [[24, 65], [33, 80], [12, 61], [63, 112], [12, 56], [56, 96], [214, 263], [43, 104], [171, 217], [39, 91], [160, 215], [33, 79], [129, 176], [2, 42], [13, 69], [26, 83]]; loss = 0.027474 low_pass_filter = 0.300
+Epoch 0: | | 21729/? [3:26:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 21730; scene = ['1e70e700f899e3f1', '4aff7ed67c4dfb96', '8a54963763c7074c', 'ee5253dae1574a08', '0dc1c55f19440123', 'd6545357d99064ca', 'bb3eb9d480095f51', '7ae3f19e3250418a', '0a257e4047e3940b', '2249749c0caef1bf', '9f2c2dd173501b7f', '72a57f7a77bfa5fa', '1e97326f245ff550', '12d37d2db81cfb78', '3c0b04f2b0fa6193', '237c3958c379951c']; context = [[40, 89], [67, 118], [69, 123], [81, 119], [16, 57], [52, 94], [119, 162], [28, 83], [13, 52], [4, 41], [39, 101], [58, 110], [0, 38], [5, 67], [0, 36], [67, 115]]; loss = 0.031443 low_pass_filter = 0.300
+Epoch 0: | | 21739/? [3:26:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 21740; scene = ['184239156b2c35f5', 'd81254badee593da', 'a9be936ce1c3dcfb', '9f958ce8b5994f1d', '246fed0a9b054ee5', '45c4109dd630d30c', '672d0bc9c604fec0', '71aaf67494c15541', '2a70bb9827ef6e47', '7daff376c0f8bb2d', 'd9effdd73ed277c5', 'ca1e4b3a2e0ecc01', '4c66931bb0b93fdf', 'cc6379f86543e2c7', 'eb3c7682b5e3ca81', '79cf00260d3e7a8d']; context = [[8, 49], [10, 58], [226, 262], [41, 83], [84, 141], [3, 60], [45, 91], [52, 89], [35, 77], [43, 105], [93, 131], [83, 142], [76, 129], [6, 63], [16, 67], [56, 118]]; loss = 0.030391 low_pass_filter = 0.300
+Epoch 0: | | 21749/? [3:26:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 21750; scene = ['516e761c5402bf7f', 'd85224614a8ba749', '52d261d44166b108', 'b3d35b1754b449e1', '2f6cba5238438eb9', 'c944569063a4abf2', '0c63cd231163ae00', '568b33cc3fbab751', 'af8f4d618f869f77', 'ed51eda77e50f68f', 'ad6f3772864b9f5a', 'ff772e9eeaa3fae4', '7f8c25373eb6ef0e', 'ccfb0dfd6611337a', 'c3858f544a9d90df', '161b1aae30b9cf97']; context = [[135, 179], [123, 161], [5, 59], [55, 95], [1, 49], [96, 155], [83, 139], [45, 102], [0, 37], [15, 76], [29, 67], [49, 103], [5, 52], [68, 104], [81, 126], [25, 69]]; loss = 0.026943 low_pass_filter = 0.300
+Epoch 0: | | 21759/? [3:26:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 21760; scene = ['45fb1347cd3a5eff', '30512795ac2bb625', 'b0ebe336f9f96686', '571e0a97e57417b6', '1b8f8a9698642eb2', '7a25f6222cff4aac', 'ff2333bce3662cbc', '84a596d39c5189bd', '0d44b13bde35062e', '6598c4db67d3f87e', '5994a80afa6ef0fe', '8a6f058ea1b60e96', '94dd8d7a35b6c349', '9c41777f108288ed', '67642ba9afa1b1cf', '40aa327f7c331a8e']; context = [[203, 262], [196, 254], [0, 37], [12, 49], [13, 70], [5, 66], [3, 56], [17, 75], [150, 202], [112, 158], [7, 63], [66, 124], [62, 103], [15, 67], [4, 45], [54, 101]]; loss = 0.033488 low_pass_filter = 0.300
+Epoch 0: | | 21769/? [3:26:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 21770; scene = ['39d22b119739d628', 'b856db5bfd2b89bd', '4f7e52b0cf1cec3d', '052b90459fc4dc8b', 'dc36fa3cb8bf4492', '0d4ef39b1c775eb5', '95a37920b1ec02f6', 'dd050bfff50eb8a0', '285eb8af8191d4d1', '5bb7bb3784ca3d66', '6f3364f094e81f66', 'c26b1dbc51bb76a2', '7fcf8100c81fd54e', '51723a3c78e7e420', '2ba622b78fc4569c', 'f3ed8d2562b3bb55']; context = [[26, 88], [29, 84], [11, 66], [20, 56], [26, 87], [8, 68], [9, 50], [121, 183], [25, 73], [27, 69], [24, 69], [2, 51], [97, 150], [83, 119], [15, 57], [16, 68]]; loss = 0.024882 low_pass_filter = 0.300
+Epoch 0: | | 21779/? [3:26:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 21780; scene = ['9c83bd6bf9a8ccd3', '9aa698dba7c091b4', '9e1d293a1a5e15f2', '1d2966dfb6372259', '222d9cb22c66b115', '8d6d5c6a59fe2041', 'baea9853c1f8b756', '43205c12fd83c588', 'c152f6b5f3e6e77e', '33ff87aa39e41fed', '3a568c79673737e6', '5b926b622e31d3c3', 'f10c940ab4a81f12', '024cdec3379d72e4', '314d09d3997725a7', 'e82ae746fe86d59a']; context = [[3, 53], [29, 70], [24, 73], [14, 58], [86, 137], [2, 48], [23, 69], [11, 71], [16, 58], [82, 126], [70, 124], [11, 61], [157, 209], [37, 96], [85, 131], [1, 51]]; loss = 0.029213 low_pass_filter = 0.300
+Epoch 0: | | 21789/? [3:26:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 21790; scene = ['37f5f4362e72fcbd', 'fd43a0837dfe0b50', 'f3abbd7d96fbafb4', '4b748cea2f19798f', 'ba95ef7c31f58c5e', '440ce0df90c936a5', 'c0e8b7d8718425ec', 'c426c3939899ee95', '07649bc35471d0fb', '1d2aa82023890bb8', 'dd519a6b576ce538', '5149fd09f43351d6', '13aec08d287400f3', '8c95dabe79b4755c', '20df3685d7dc078d', '1a1ec38c2a2470d7']; context = [[10, 59], [136, 179], [3, 51], [19, 69], [20, 82], [9, 66], [95, 133], [36, 82], [0, 36], [22, 69], [28, 68], [16, 63], [10, 64], [25, 64], [17, 54], [0, 37]]; loss = 0.023103 low_pass_filter = 0.300
+Epoch 0: | | 21799/? [3:26:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 21800; scene = ['77542628c9955b43', '3f64560e908646e3', '6dcac4b5bfcc0f4e', '935397674b39b1ea', '8e99ada24006b593', '636a31235c706629', '3a0a8addc38a79d7', 'd3e7e152d9525908', '7ab75acf4337a003', '15b71b3a4c040978', 'a06884b7875e6cdc', '90f05cebbf4a88a7', 'd2ae64cc58cd5a62', '6ad8e4b9ecbdee53', 'fff13f7f125a577c', '4f0af14785c56a8b']; context = [[62, 111], [15, 57], [2, 64], [0, 52], [7, 64], [45, 99], [116, 154], [72, 123], [122, 179], [44, 103], [62, 103], [8, 51], [69, 128], [45, 99], [1, 45], [1, 58]]; loss = 0.030484 low_pass_filter = 0.300
+Epoch 0: | | 21809/? [3:27:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 21810; scene = ['75c231b3963554fd', '15a03fac30b07ec8', '411df8d0b3faa181', '42b37c81231b56f7', '8d1ebdfc75514a26', 'df37c720c410db30', 'ecd0216055e54219', '095d0b790f4b9a24', '5664d39ad0f1b834', '35b5ba883886cb9e', '5a9e5c0247e3449f', '00b37a5222bb6dca', '7f378d74cc39f8a2', 'd34f631bf889f0ad', 'f165afbdde9ddb9f', '63a4d8d6b62a5c8f']; context = [[17, 70], [14, 68], [178, 219], [7, 69], [103, 165], [24, 77], [3, 54], [5, 63], [108, 163], [84, 144], [17, 71], [0, 55], [21, 64], [196, 240], [16, 73], [166, 220]]; loss = 0.031992 low_pass_filter = 0.300
+Epoch 0: | | 21819/? [3:27:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 21820; scene = ['7aaade6304f4d492', 'a961e9131e2b8c6d', '29a5370dda4ecd56', '6634dce5a1e5a997', '19abee73ea4dfcb9', 'a67ff330021239e1', '486ebc90daa9ee9e', 'ef73fc2ed593798a', 'b89c23fa87a9a65d', '3061dd6569af7ef4', '25bd03283afbf268', 'f9cfbd6bb844eaa4', '0744c33d52be47ea', 'df24bd4bbcc782dc', 'f522fbe7b958f4c5', '681f1e6504d0a8a5']; context = [[91, 148], [78, 136], [25, 72], [34, 72], [0, 56], [44, 83], [1, 46], [166, 215], [103, 150], [178, 223], [6, 68], [2, 54], [52, 97], [83, 121], [149, 193], [32, 76]]; loss = 0.027973 low_pass_filter = 0.300
+Epoch 0: | | 21829/? [3:27:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 21830; scene = ['33d9c84df6285c81', '9f70627c899ece10', 'd50d8151d95486fd', 'd22a411f16fb174b', 'd8994dd6bafa0fa8', '4e071b367480ff56', '52ece28e102eedc4', '31007ddb2fbda4b2', '6cced5003224cecc', 'b373412bc8be869b', 'dbc167d7cf153052', 'a994e2ad8bb51468', '29ed0bda807c792d', '008f94cc8929340d', '8a75cfb4b5c3e4fb', '75b0b9b13b2662e3']; context = [[98, 148], [1, 40], [39, 95], [61, 97], [9, 70], [35, 80], [72, 130], [46, 100], [38, 95], [29, 91], [185, 236], [2, 62], [43, 86], [54, 113], [23, 60], [6, 46]]; loss = 0.027441 low_pass_filter = 0.300
+Epoch 0: | | 21839/? [3:27:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 21840; scene = ['10b6ddd1f8a0ff5e', '5eaa327da5e98d9e', '318741d1904d9cd4', '0b11c4c2d21a4f1b', '92183de07c13c62b', 'd51cf8e527ea5cad', 'f3cbccbf95c1fc83', '264626db21145229', '04ad9f32c83f28b3', '56d1fbbe9848c802', '37c29538c79cd90d', 'b913fc397ffe5b87', 'a6463fb1c9e10282', 'c6683515f5c374fc', '5c81d3506aa61647', '74ed41fdbece3110']; context = [[53, 89], [10, 60], [96, 134], [5, 62], [65, 115], [60, 117], [13, 73], [83, 126], [129, 169], [43, 105], [0, 57], [0, 39], [36, 90], [4, 40], [32, 78], [13, 53]]; loss = 0.030021 low_pass_filter = 0.300
+Epoch 0: | | 21849/? [3:27:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 21850; scene = ['68eda0e3a97731dc', '97be5aef5a551277', 'b50f8a66ecfcf1e6', '1222f5f021cdfaa9', 'b092748c833948a5', '850d436dab899405', 'bddba23efe18e759', '0e59b3829c04e55b', '6892cea8c44cef91', '1fd3039816e5adc2', '38048a7500a26145', 'bf2015a4184b733d', 'dc0129275679dc93', 'f884556456dacd27', 'daf2d2e27dd8949c', '07462bde84f79ab8']; context = [[29, 73], [2, 60], [194, 231], [26, 81], [53, 96], [221, 260], [12, 57], [107, 144], [176, 213], [50, 110], [33, 85], [31, 67], [2, 39], [90, 133], [20, 56], [197, 243]]; loss = 0.036466 low_pass_filter = 0.300
+Epoch 0: | | 21859/? [3:27:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 21860; scene = ['9c91f8599db23043', 'ff8a982f7807b368', 'b1bb68bc47ee5b68', 'fda4975df49b4ea6', 'e7b82ba02f9f37f4', 'ec09cd06976bb6ed', '3cb5133227ba02e9', 'ff5926af50275b6e', '3f6274ca0dc5dbb0', '95fa9ee54e6bdf7e', '91c4afc187a086fc', 'c7469d734caa6589', '8f676671dce6a340', '4dfcbe2e024d6f87', '4244bee7470b8df7', 'd6101105e2422849']; context = [[18, 67], [19, 59], [3, 40], [15, 64], [101, 154], [13, 58], [1, 54], [17, 62], [19, 73], [0, 37], [49, 95], [18, 63], [23, 71], [16, 54], [2, 43], [3, 42]]; loss = 0.021042 low_pass_filter = 0.300
+Epoch 0: | | 21869/? [3:27:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 21870; scene = ['63cb8090d7354764', '75b4cd7d12657847', '276ae8f6b469f3b3', 'e78b09abb4df5292', '26813cb5bfb272bb', '9327aeefffa14a4b', '54e9564d27d9a312', 'a76c40c96098b63d', 'a910f8752165735f', '8aef911b31bd5273', 'dd5f3dd699d98e69', 'fa6e6f9c34048dba', 'aac8d0a25bc8e61a', 'c6f4cc113de27e8b', '530950bcba399bd6', 'fef1f05c626f4caf']; context = [[51, 98], [0, 60], [152, 211], [65, 126], [59, 113], [179, 228], [33, 72], [91, 140], [4, 62], [21, 68], [16, 65], [51, 113], [80, 116], [55, 96], [65, 127], [17, 56]]; loss = 0.026158 low_pass_filter = 0.300
+Epoch 0: | | 21879/? [3:27:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 21880; scene = ['bbfd4ef6cbee9323', '1d2907d54964fabe', '8486d4549552f989', '340d6554b5a5d446', 'e9636b0d7cce7ab5', '08aa649837aabee7', '1bb6c9f319cd474f', 'f1113eed57046994', '7892cb3fbcaee020', '2759d056a8d14e04', '1a5f2da8e33050e5', '79e7144576553102', 'a16a83db12ad4c46', '94eb1c751f53099c', 'db6c2906183ce664', '81945ee5d2d889f7']; context = [[131, 192], [2, 58], [8, 48], [15, 63], [37, 90], [160, 211], [19, 75], [24, 83], [42, 99], [32, 94], [138, 176], [22, 72], [94, 149], [19, 58], [0, 47], [131, 170]]; loss = 0.032905 low_pass_filter = 0.300
+Epoch 0: | | 21889/? [3:27:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 21890; scene = ['82336eca903b6e86', 'dbe8fb4a958ea306', 'ef54866ee11f3890', 'ebbb776f5c426ae2', 'c718b29875d6057c', 'caf7c83470c7f539', '46a99cf9d8defcda', 'b107234cfb895c30', 'a5c5d22eb6353af4', 'c2893d4152103f88', '6deb86189735ad49', '357632990cc0f792', '56d7b41096c4a0c4', '570eae579ca05517', '73677808d2e27970', '5b43db5bf21abbb8']; context = [[4, 65], [25, 69], [9, 57], [41, 82], [212, 267], [57, 105], [21, 65], [141, 185], [106, 168], [15, 52], [24, 64], [8, 44], [112, 149], [6, 55], [6, 54], [55, 94]]; loss = 0.067534 low_pass_filter = 0.300
+Epoch 0: | | 21899/? [3:27:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 21900; scene = ['4b286aa697cf814b', 'c2fccfc90a74c89c', 'db62795c284bf764', 'a2e4b97b2c9a0ae6', 'b4caf9dbe386c507', 'a161a931396aa0d0', '9e4a3905468efe6c', 'bf8c1e3962c35b5e', '4dfd4268f80ef274', 'ed301ea795ca2156', 'f3e22bd30457802b', '8c2067631995309f', '616731b2df2965c9', '895cdbd2d21c3d05', 'bf7e0756f7e60574', 'f75167ab4259531e']; context = [[0, 41], [6, 52], [30, 72], [48, 104], [4, 62], [73, 124], [105, 150], [4, 42], [70, 120], [0, 41], [1, 49], [175, 228], [34, 80], [61, 107], [63, 103], [29, 70]]; loss = 0.024986 low_pass_filter = 0.300
+Epoch 0: | | 21909/? [3:27:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 21910; scene = ['c23dbd74452b25fc', '30115f3bcccb1aae', '6cc9520c54b93d68', '147d20e493dbd7bd', '906531d3bc42e80a', 'c80b47f679acd29c', 'ea3a6d12a19cb079', 'b86ccd949ea81b8c', 'ce5dda2d82101fb8', '537e126f093efc33', '6af9473588cfbf43', 'bdd8169f50496343', 'e47853cf56368a5b', 'dcd8192614eb6df6', '6fa448f84a097593', '0f131672e69409d0']; context = [[73, 125], [183, 226], [88, 131], [63, 105], [74, 130], [6, 53], [121, 180], [25, 66], [47, 87], [12, 49], [88, 143], [102, 152], [38, 76], [51, 112], [128, 189], [80, 125]]; loss = 0.027359 low_pass_filter = 0.300
+Epoch 0: | | 21919/? [3:28:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 21920; scene = ['155507e6c573ea0f', 'c6b4ee182a0c8f70', '08b7f061e79af09a', 'dde08cbd97dc236f', 'f873485ea901f0aa', '28edd0fc4cc7a93e', 'f7f53a9d54d4098f', '8ec27dc882d87cab', 'ed074cd40dc33596', '38c2f919e61f375e', '4ca6ed1cf7349efd', 'dfe78eb63cd652e9', 'e2128a609ff89c4b', '938865f6756c2301', '10624fc8f33d3a0a', '100c4c3fa1794647']; context = [[232, 277], [54, 108], [31, 83], [55, 106], [29, 67], [17, 57], [3, 57], [25, 74], [37, 97], [27, 75], [148, 204], [138, 180], [19, 80], [48, 92], [72, 128], [131, 192]]; loss = 0.022741 low_pass_filter = 0.300
+Epoch 0: | | 21929/? [3:28:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 21930; scene = ['d92a6ababd47f047', '939847209cf6cfa9', 'd558e4281ca1d6cb', 'f7bf92fe86d84a9b', '259bcd75ba6a361d', 'ffbd661d3229b4cc', '915abd70c09a502e', 'bc72d42a14994709', '11e52c5f46fc30bf', 'd0f766e5e96f5623', 'f2fc0f05c9df5be3', '8aad33b23262e8f3', 'f12a998cedc553f9', 'bf15144c156af1aa', 'aa0286372034e338', 'd959cfe7f662e07b']; context = [[144, 200], [4, 56], [61, 107], [30, 75], [31, 81], [39, 77], [154, 197], [91, 129], [4, 54], [29, 86], [1, 43], [47, 104], [1, 37], [0, 61], [33, 89], [4, 40]]; loss = 0.023968 low_pass_filter = 0.300
+Epoch 0: | | 21939/? [3:28:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 21940; scene = ['11903695a5befa82', 'd18d1ef2cdd52d7b', '4f6402427075eae9', '6fd7bc968cba571a', '15edfe935bbbbe9b', '29f109f23fe2e0ed', '5808f6374fdf5f22', 'a4c5ca93facb790d', '87dd19e287c2b139', '39e607eacf75eaf7', 'bcb28559c747436b', 'a3215a1898c37782', 'a8d2264f21b3ce2c', '5f9b3778934721a0', 'f2d39488e2f97502', '01d33474e64e76ca']; context = [[3, 53], [36, 72], [212, 259], [219, 262], [14, 63], [24, 68], [71, 108], [23, 73], [128, 167], [52, 112], [44, 106], [1, 52], [6, 65], [12, 49], [197, 259], [25, 63]]; loss = 0.026269 low_pass_filter = 0.300
+Epoch 0: | | 21949/? [3:28:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 21950; scene = ['ea8df2691a453116', '560bd1ba2a1f52ee', 'b0fdd7634bc50a1a', '48f532b78845c6d4', '59487394e4fdc36b', '584059f95310ea42', 'ca8a288d4f798d7b', '3a35983802667459', 'cf8653d94cf8dc19', 'd9dccd1426001628', '5f6cb93dc08fc1a6', 'eb903c09804d201d', '0cd1b0470eccc71e', '9d67cfafbd23367e', '8ff606e3b4579d71', 'a1263b3db507aadf']; context = [[163, 225], [15, 61], [40, 100], [69, 123], [1, 61], [13, 56], [22, 59], [143, 188], [108, 157], [4, 48], [1, 49], [8, 49], [122, 162], [53, 113], [3, 53], [4, 55]]; loss = 0.029049 low_pass_filter = 0.300
+Epoch 0: | | 21959/? [3:28:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 21960; scene = ['e60fb48aae2584bc', '60495ffd0a16fda7', 'e73685f60b0006e0', 'd25d3da5ca289c33', 'f06b9b480b4730bc', 'ef85c9e78f026beb', 'f18343ceb33e7281', 'ebe3a6e47566886d', '935eb63e2d4ba074', 'c081c9bddcc3cc73', 'c732343e2378ffe1', '60987a40ad6c73d8', 'd6c5625f80389208', '1414e41b4c8f32e3', '0aaed15800682a1b', 'b9d45f6a27052a50']; context = [[67, 122], [17, 69], [5, 65], [9, 57], [63, 120], [158, 194], [19, 74], [89, 131], [11, 57], [0, 37], [2, 65], [3, 64], [27, 72], [184, 228], [7, 49], [27, 75]]; loss = 0.025848 low_pass_filter = 0.300
+Epoch 0: | | 21969/? [3:28:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 21970; scene = ['12911b4f97d706b0', '937f8e3d9793a726', '5354b259bb11a731', '62e480eda89b85f4', 'd9e0fc931a94def3', '00bbf676b3378549', '34fb5840fbd65f27', 'd63314ee9d11a5fe', 'b42870de310cce44', '8aac6e58ac48fd15', '9bd0682ba6f3ea5f', 'ad8b08f786657b96', 'c61dcb999934a249', '445575852ced8759', 'cc806d390079344d', 'f4c16f9bc92218d1']; context = [[17, 69], [6, 62], [131, 193], [9, 64], [25, 79], [13, 68], [0, 36], [64, 105], [13, 70], [28, 78], [72, 134], [0, 47], [200, 248], [2, 65], [21, 57], [1, 38]]; loss = 0.031573 low_pass_filter = 0.300
+Epoch 0: | | 21979/? [3:28:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 21980; scene = ['6415de64be8a1d74', '3ea2086a5a93e0a7', 'b6f81740db95733f', 'cce12f667de01766', 'eb045b0c67e1cc71', 'cc2051c21229d188', 'd0bae56464f6702c', 'd777e52d81fbc515', '0474328f4cefd619', '05bfc76ddb55b2a7', 'f2877fd3e188aca4', '8039342cf122c12d', '46fb6702ed1b9967', '6ef3099511d24386', '38169a64d14c2968', '756d2cf95e970c61']; context = [[0, 51], [72, 121], [68, 106], [124, 166], [142, 195], [49, 98], [11, 48], [83, 133], [35, 86], [32, 86], [43, 94], [28, 76], [12, 67], [38, 77], [7, 45], [77, 135]]; loss = 0.028737 low_pass_filter = 0.300
+Epoch 0: | | 21989/? [3:28:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 21990; scene = ['d81254badee593da', '773eaab0c764d745', '021304d1e09c8b5f', '690e51b50279878b', '300272f7a17b746a', 'c44c89003028942a', 'a99dc3202017e7ff', '673fbdab349ed945', 'c0bf06f467375743', 'b8b4d4e967b1eaed', '13f9e034ed17801d', '1693c23f843b85b4', '2fe6276cc1839419', '3c9bbc5427f35f73', '0cdbf9b9bdbdd5fa', '34c71b535c38bb77']; context = [[22, 73], [11, 58], [8, 70], [168, 217], [100, 151], [72, 122], [13, 75], [21, 74], [72, 121], [14, 75], [31, 67], [0, 40], [1, 57], [7, 58], [38, 92], [28, 74]]; loss = 0.026290 low_pass_filter = 0.300
+Epoch 0: | | 21999/? [3:28:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 22000; scene = ['cc7c9c5bf0362e64', '36c1ffc4ad955467', 'fb3b24873bee7e55', '6bff01bc9e667569', '6427008718efdf79', 'aa1f56d920718489', 'ad76e0c90e33e978', 'ea2669b939c4d80f', '78cd4755d6a76bfa', '285d4b5197e28e32', 'e020be14afb3ef14', 'cb7ea96f12ceed00', 'c1b291bac208f824', 'd4e5b689bb8bc4a3', '6f70b8b96a4b3dca', '6d6368bfdb2564a8']; context = [[1, 47], [221, 259], [126, 164], [13, 64], [12, 66], [10, 71], [161, 205], [50, 104], [9, 50], [16, 73], [0, 41], [6, 55], [6, 62], [57, 112], [174, 235], [54, 92]]; loss = 0.025469 low_pass_filter = 0.300
+Epoch 0: | | 22000/? [3:28:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000validation step 22000; scene = ['a93d9d0fd69071aa']; context = [[8, 69]]
+Epoch 0: | | 22009/? [3:28:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 22010; scene = ['967cf97a932fa507', 'f7b32305d6daa2bc', '40da14eba717a7c9', 'e32356ddcfb80246', 'f024a38fc8e4ec74', 'ba299e06f2eb6d9b', 'c4005922f59686ae', '4c6ca52094c027d7', 'ed8272185c1ac2e0', 'e9409f501f1b6346', 'c66aaa5ea5543880', '64fa28b2416a6a38', 'b1b8e8c88721bafc', '81a3f8a8ce79a059', '4e8169b7f130e2c9', '69ad7ce4c6b901e5']; context = [[22, 80], [14, 75], [68, 119], [85, 128], [10, 47], [1, 61], [1, 63], [115, 177], [20, 61], [76, 134], [36, 80], [21, 73], [15, 75], [11, 65], [111, 170], [62, 115]]; loss = 0.028094 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 22019/? [3:29:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 22020; scene = ['4169b1a0d60a2570', '434b95e4500c4f48', '93d047589099d4b2', 'ad5a7e0a8665dd93', 'e232c85579d13613', '58036906b5ec55f4', '3df240d45bf7aa2d', '6c3009978aa165e6', 'ca08c3e06b14333b', '0a610a129bdcc4e7', '5f89ae8d48b0cfa4', '33971d13212f9fd3', '3083fb828649b8b5', '91530ea8f943b8c5', '797e58d60147a25a', '4e31a74c326af096']; context = [[14, 71], [177, 239], [62, 113], [126, 165], [6, 47], [43, 90], [63, 118], [5, 59], [47, 91], [6, 53], [9, 62], [6, 48], [20, 57], [11, 61], [32, 76], [62, 124]]; loss = 0.031983 low_pass_filter = 0.300
+Epoch 0: | | 22029/? [3:29:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 22030; scene = ['38e70ae6488aab33', '1df4a087ca57a288', '725cf32a819e9e70', '6c72d78415cc37c8', 'b52b95a079398db7', '679f1c3b1b0b04b0', '0c4e735d67b92814', 'cb698c8760f7a3f4', 'd4f199bae7f9028f', '3c605be257dfdceb', 'b63e4698070a825d', '80ba2b3e340a0473', '81ff93a784a29510', 'cb7b0766b8412221', '9beac3cf904bf329', '25672d21b37e4869']; context = [[120, 172], [0, 60], [12, 51], [5, 57], [13, 52], [28, 70], [230, 266], [4, 57], [81, 133], [2, 39], [94, 135], [21, 64], [63, 103], [98, 140], [18, 60], [11, 49]]; loss = 0.024028 low_pass_filter = 0.300
+Epoch 0: | | 22039/? [3:29:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22040; scene = ['72bac7dc0c3a7f6d', '4320e900cf5f7074', 'd71d44024b5b0d3e', 'fc3ee0f062e9a2e8', '3e715f03f925cf3d', '9c3ebea75620b57e', '8584676cfe1afe61', 'a16d30d362a5ff7f', 'b4741c980124cd31', '842be3fa10ca4fda', '975074dc77b4b39b', '9c74a21848354b9c', 'a92d8d313f8da420', '1ebe12e22110e0a7', '6ebbb51c36ffa67c', '513d4618c36d0e42']; context = [[5, 45], [101, 148], [23, 65], [25, 68], [1, 58], [0, 53], [1, 50], [108, 165], [5, 48], [101, 155], [11, 74], [127, 174], [198, 235], [29, 91], [38, 101], [29, 92]]; loss = 0.027402 low_pass_filter = 0.300
+Epoch 0: | | 22049/? [3:29:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 22050; scene = ['902acb436b27685e', '9b69d11125244431', '6db6b9ec74297f7e', '04d30567c2a01265', 'cdfee7021f80e4cb', '7ce73150f91ec12b', '8f5f4cd9432e1c0d', '08fd748d62f03890', '427ccf30023b9ec7', '1d67a9e0bedfa5af', 'b937245ac95ab2b0', 'da68c805b37deb5b', 'd4422938cc00c968', 'cb7ea96f12ceed00', '6d6368bfdb2564a8', 'bcc2187b08eddbf5']; context = [[63, 119], [101, 147], [62, 123], [8, 69], [81, 121], [7, 51], [1, 41], [1, 49], [21, 68], [5, 62], [2, 59], [34, 72], [58, 109], [0, 39], [139, 179], [67, 119]]; loss = 0.024898 low_pass_filter = 0.300
+Epoch 0: | | 22059/? [3:29:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 22060; scene = ['a641a23dd13d538f', '9e5ac63038c2b746', '418e0288d6ce2f72', 'b2e00b2445a4e506', '0c99f06e8b5bc9fe', 'df7f09e925d52823', 'd8b6c6f00773941c', 'bf3af518a9d57ab2', 'debfcd0facc08e74', 'f7066db19ea7dde5', '312e16d4b4b9e990', 'e19f322390d2dd64', '373c334353542c1e', 'a5ef2ff8ab381e4f', 'de38f6aa8336d09a', 'dca0822a879ff72b']; context = [[11, 67], [37, 80], [39, 99], [41, 96], [3, 52], [0, 47], [134, 191], [156, 215], [9, 65], [168, 228], [24, 68], [112, 174], [45, 103], [138, 197], [10, 65], [85, 122]]; loss = 0.027962 low_pass_filter = 0.300
+Epoch 0: | | 22069/? [3:29:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 22070; scene = ['5d82d56654db7bf7', '0004866ca872087c', 'bec5a96b9f3d3958', '8337a32969c365d7', '28522eba1f933510', 'e6e8cc906c35e6e1', '2b023270623346dd', 'c984f50b210590b4', 'bb2a6aa230389112', '1f2195c33874e2a7', '1ff7805b58fa8baa', '6e7024d848c715af', 'a46b24193229d8c6', '6f27c2a023c0495d', '80d75f4bfeeafe44', '7c7a9725a5839a48']; context = [[139, 194], [65, 113], [84, 141], [49, 108], [1, 61], [0, 46], [57, 101], [218, 256], [61, 97], [1, 62], [31, 69], [3, 53], [52, 94], [18, 55], [76, 136], [27, 81]]; loss = 0.027596 low_pass_filter = 0.300
+Epoch 0: | | 22079/? [3:29:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 22080; scene = ['8a803ac9260584d9', '50b7e0408ef2df49', '5c13b85999c1fa5c', 'e03c32cada8f8685', '0e7a94867925f87f', '3388d14433e04e9b', '66dbbedd0b62d620', '101c594f454bb757', 'f784de759ead407d', '9d488b6c1cc01053', '554de88b345618cf', '03ca963d98ce5eb4', '0c8d65b305f7dec7', '4ef9ea41d2491db2', '412b1172468b8951', 'e71374d746eca58d']; context = [[6, 46], [8, 62], [3, 59], [9, 55], [13, 51], [31, 68], [1, 55], [13, 56], [42, 101], [45, 84], [46, 93], [45, 81], [0, 58], [4, 45], [47, 89], [19, 67]]; loss = 0.025097 low_pass_filter = 0.300
+Epoch 0: | | 22089/? [3:29:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 22090; scene = ['6cfdd5147e9d0d35', '6ee14e90603777a9', 'dc5214ebc39790b6', 'bd9213b7a0ca097f', '8dd139ea9fa485a7', 'e36cbe2b5246b897', 'db1bc45bd23844ee', '8b56c47ccba74386', 'bbbf86d6023b756e', 'd23860636bd4f6b9', '679b71a0c8b16ec9', '145fff95cba3d1be', '64db7512182c3f7e', '06a98db04d55c991', '9c34287c66be9375', '597a7b1d1a1db7e5']; context = [[55, 96], [23, 78], [19, 71], [140, 177], [29, 81], [6, 51], [47, 89], [144, 182], [114, 175], [23, 70], [32, 79], [4, 41], [82, 118], [21, 57], [17, 74], [119, 177]]; loss = 0.025198 low_pass_filter = 0.300
+Epoch 0: | | 22099/? [3:29:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22100; scene = ['55396890c6961267', 'aea713a654bc70f2', 'd56bc7ca0f6368bc', '026013ca541c30da', '1fc20dbf49022bb0', 'd28eddd645b84866', 'c7a16ca73b5d1a45', '52b5cc4edac20b1d', 'ce7ced20aa22c2fd', '35f616539109376c', '076a35926f218f1d', 'ff386ee63e9a5979', 'd573d6a8e9eb3c07', '4f3b2263d2a7347a', 'c61bdd4a1ef94c75', '4416aca1509427f1']; context = [[9, 72], [0, 49], [23, 64], [109, 165], [1, 45], [30, 84], [40, 89], [14, 64], [12, 70], [14, 76], [10, 70], [14, 73], [5, 54], [30, 71], [1, 53], [16, 59]]; loss = 0.028448 low_pass_filter = 0.300
+Epoch 0: | | 22109/? [3:29:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 22110; scene = ['5e15850ae9ba93d7', '9a97ec19a3bf5147', 'd5c1a6c6cb883de1', '32a2313f018d5305', 'cb1c0ed8721fbcc9', '5bd2b8a6ac345fa1', '51cbaa0fef55d570', 'a841b06e52f99e0d', 'e52679ac7b904c9a', '0cb1f4423c89e950', 'ec59c25cd74e739a', '7b50ef84dd63921b', '1f5704bf23ed3e6b', '3533e8353a4037a6', '2bd9dbb5e79478f2', '893ee7f0458c8d38']; context = [[17, 65], [116, 158], [61, 112], [4, 61], [30, 81], [6, 58], [56, 92], [47, 88], [76, 126], [129, 181], [4, 53], [24, 77], [56, 98], [2, 58], [2, 47], [42, 79]]; loss = 0.025138 low_pass_filter = 0.300
+Epoch 0: | | 22119/? [3:29:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 22120; scene = ['b419bfa4bf5e4d5f', 'aded09e472c481df', 'bb1757b78d7c2c4c', 'ff1d2975de62c75c', '65ca4812c80ba806', '75c669ab3a4b5f54', '8bd922b2000c7320', '9dadaec44c97db78', 'b0a821041e945fb5', '47eea4af0e417a61', '210663239642cbc3', '03583c28537ca3ae', '4d5bc50676a987b9', '5d5e28ccdee50a9e', '7576da44bc56a4ec', '27cc9e8e5d628dc3']; context = [[100, 139], [40, 77], [23, 69], [30, 90], [5, 46], [12, 48], [173, 215], [27, 65], [47, 110], [4, 42], [5, 50], [63, 112], [1, 61], [26, 75], [16, 61], [57, 110]]; loss = 0.026258 low_pass_filter = 0.300
+Epoch 0: | | 22129/? [3:30:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 22130; scene = ['871027075a80bcad', '70ed6ed94266af1e', '429ea04295ce4c00', 'ea02d0f42c603c21', '2660f845947221f2', '31250ac58b3e32c9', '40376e9c2cadecbf', '124a8e1a8219f20f', 'bb32e9a89ca9387e', 'c13a53c648b36401', 'e8de65fe4e647a7d', 'fa0ebac9a7dc602c', 'ea672c1776514bc2', '7025666cfb44748a', '71d70edad4f466d8', '3840264dfb7c4d0b']; context = [[22, 83], [16, 53], [101, 141], [141, 201], [108, 155], [155, 192], [14, 69], [96, 158], [52, 93], [29, 76], [6, 59], [9, 51], [171, 210], [22, 85], [11, 61], [5, 67]]; loss = 0.027552 low_pass_filter = 0.300
+Epoch 0: | | 22139/? [3:30:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 22140; scene = ['7e7eef981c97198b', '32935427d53588ce', 'cb3b1652c6eab780', 'b20b61523d9dd6b5', '953a7c1467296fe5', '25aba9aad59f0eba', '66c2a901f10a14dc', '4d7e82f4a0bbc0f8', '905891b1bc846ccd', '5aaeb25dad8f677e', '713dd7ab28264c16', 'a7bb41fb317553a2', 'f28235eb3977eddf', '616ffc28b5189477', '3b1b31a369067c81', '6991ad9b67711c91']; context = [[96, 154], [33, 73], [1, 52], [19, 64], [49, 94], [93, 130], [45, 92], [58, 98], [83, 140], [11, 73], [2, 58], [34, 76], [148, 187], [29, 88], [66, 107], [35, 88]]; loss = 0.027667 low_pass_filter = 0.300
+Epoch 0: | | 22149/? [3:30:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 22150; scene = ['8dbc54ca1f13e7e6', '882efbeb56fce689', '45656906ceb6f2c6', '52f3bb3cf1f36bf9', 'cdfc0049ab8824ca', 'ad766f968b9edef5', '536b0a79a61e848d', '40c6f5e7838c0674', '2fe3d2aaf6006108', '8ac5b94f705e0115', '7b042f9e148fa642', 'bc80d47a3654159a', '64a249e7fc5aa400', 'c3659122206f5c96', '386bcff854bd03ef', 'bbf5bf0f5a0f9d48']; context = [[13, 50], [4, 49], [106, 149], [127, 174], [93, 139], [19, 55], [1, 53], [35, 93], [9, 55], [163, 209], [81, 143], [4, 42], [55, 103], [160, 198], [0, 40], [6, 45]]; loss = 0.029059 low_pass_filter = 0.300
+Epoch 0: | | 22159/? [3:30:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 22160; scene = ['3e6a0e546092e5ce', '67b643183e3b0239', '332a9eab3d114cf3', 'ca3a044d9a37a544', 'c24d2ef26ab0a260', 'a37fb46545b26cd2', '50211eea27108ca0', 'bf5a6bd863756946', 'ec5a3410978f01c4', '509aa3fc9305eb97', '5aeea78290855b44', '5f2354a67645df18', '93d5594a00802532', '2958d238e5aa242d', '32047e8d7765b533', '2b1283adc29ea556']; context = [[0, 36], [15, 56], [61, 112], [26, 63], [72, 126], [29, 75], [32, 94], [1, 41], [66, 113], [60, 105], [16, 73], [70, 107], [8, 62], [91, 136], [10, 61], [218, 262]]; loss = 0.032042 low_pass_filter = 0.300
+Epoch 0: | | 22169/? [3:30:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 22170; scene = ['8a8e389378f42dd7', '880e7819f343c5a3', '60454705a200f9d9', '5572fb835bbc97d6', 'f4a0645f7254a5fa', '914a2a719cc88175', '8083e34382660f65', 'd14cfc82d87e06ec', 'cc90987857dcf840', '7d57be178bfebe81', 'facc36be12149a27', '28e3ff32d7f2a1ea', '3a6d56deb88a939a', '172f00a993c91d33', 'a5fec6ceab1a2f83', 'e9a353fc7558047a']; context = [[27, 84], [2, 65], [0, 47], [212, 248], [1, 46], [22, 69], [9, 52], [9, 51], [74, 120], [90, 137], [67, 122], [69, 106], [32, 69], [28, 72], [39, 76], [1, 53]]; loss = 0.026109 low_pass_filter = 0.300
+Epoch 0: | | 22179/? [3:30:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 22180; scene = ['520042b8f6b60fc0', 'bae8e9f786e36bdd', 'bb3f5ca46ec87fdc', 'bab355ea5a2c6258', '1e482d20fd3e196c', 'a3258db2b20d72c9', '85c1afc20586c334', 'bde5c633b64dc42e', '14c3d899a8f0a25c', 'ac7a43e9429a0052', '206aca943889b91e', '3de8a09239959318', '8310605001f9033d', 'd5b138f5c90dd265', 'dad8b744cd8e2d6d', '773467e0c2dadcc5']; context = [[12, 50], [206, 242], [21, 61], [64, 100], [3, 65], [26, 70], [2, 57], [36, 72], [47, 107], [13, 58], [37, 81], [14, 77], [5, 46], [61, 111], [69, 116], [11, 55]]; loss = 0.026407 low_pass_filter = 0.300
+Epoch 0: | | 22189/? [3:30:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 22190; scene = ['358e8f0bc7e3503f', 'd2504f7d7af1a9a3', '2d78bdcafda0e615', '55460448c86d27ef', '2935197dcf0164b0', 'b5476504de893f96', 'c91dc4e10b8ac16b', '9561b33818543eeb', '4a48d77f5585a875', '5b022ca0885cc539', 'f16cd2121f8be894', 'c63225bd2e5b66f7', '238c6c917d84907f', '69bd7826b7c0c606', '64672425f1a104d4', '01794a4d7bb72235']; context = [[42, 89], [30, 81], [5, 57], [2, 41], [3, 57], [51, 100], [46, 88], [3, 59], [10, 70], [15, 73], [68, 109], [7, 69], [23, 66], [159, 215], [144, 200], [48, 101]]; loss = 0.029913 low_pass_filter = 0.300
+Epoch 0: | | 22199/? [3:30:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 22200; scene = ['559f0251ff195a45', '6e5d2e5d7e398db5', '0f2b05a2206a3180', '60e0925e79a6c253', '502774a6c8eb28ba', 'f5eb0f156e32645b', 'baccbb802cd0ad2d', '5474e6cd7ccd6d1a', 'de60b627821c8594', 'e899e939dd9774e0', '0fe8e40f46e8d14e', '73aee8654106974f', '0645a0441a9553e9', '3b7a2b88d554d67b', '6c4cb27d617151aa', 'e2b9fe93917b4294']; context = [[52, 91], [37, 76], [14, 63], [133, 170], [9, 55], [90, 135], [124, 170], [19, 81], [42, 78], [9, 64], [69, 115], [162, 220], [5, 48], [82, 118], [59, 106], [193, 230]]; loss = 0.024138 low_pass_filter = 0.300
+Epoch 0: | | 22209/? [3:30:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 22210; scene = ['b076f2a5b52d1370', '6a360065fbd7053b', '0d9643db1fca8e9b', '0dfbccbfd1f98e92', '635f16dbf0ef291b', '94a390910c87e459', 'f3313aa3e401cee9', '34b4e9d9f2f89286', '13d6c8b2d99b5984', '5ae12d62fcb5394a', '5ef9175d9520c85e', 'feee8ecf69a70f22', 'efc65de7bfa7d9fb', '0d13d31b09170e94', '620dfa4e0e4d9b48', 'd8439a79c65a66fb']; context = [[46, 100], [0, 36], [6, 46], [56, 108], [32, 68], [186, 248], [45, 106], [10, 73], [24, 83], [2, 59], [69, 131], [12, 50], [1, 42], [104, 152], [21, 69], [16, 64]]; loss = 0.032922 low_pass_filter = 0.300
+Epoch 0: | | 22219/? [3:30:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22220; scene = ['c3340deff661af26', '3c7759c8cebd2456', '0f1ed084be03230b', 'c0ecf73a2ab53c5a', 'dd409e71277155a3', '657d40112099caec', '79259e9d15d21aa7', '2c7dc741d1a225fc', 'a33727ea2af50656', '3730b7c1cc56047e', 'ecfc865925d2cb8f', 'c4024b7f943d9d9a', '0c2b1cb610e4f21d', '8cc2ddc5371a5549', 'df9d24570a15e8bd', 'c1efda2fb870a8f9']; context = [[136, 183], [186, 229], [7, 59], [83, 132], [25, 63], [39, 76], [104, 148], [7, 66], [23, 65], [53, 102], [36, 88], [5, 49], [210, 249], [5, 41], [62, 117], [70, 118]]; loss = 0.026319 low_pass_filter = 0.300
+Epoch 0: | | 22229/? [3:31:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 22230; scene = ['9abf1b568e15af72', '23b084c9e1cdd885', '9893aa24dc5520de', '049881f24130be4d', '6b33e3d6ce710c98', '817553ac113e9ecc', '4b76e0c8adcb1a08', 'bda91c06a62bfe98', '2efcb9cd75ddf0a3', 'f5df6b58698fbb00', '658baf4960e4ce01', '2c7be9cd3e8976e0', 'f9a06b44be2312e9', '427fa27ba9d98e00', '0676fa0db5cd5dc3', 'f9195769208f3b78']; context = [[13, 54], [2, 55], [11, 74], [2, 42], [40, 76], [186, 244], [119, 157], [18, 67], [16, 58], [75, 112], [87, 145], [27, 63], [81, 123], [22, 59], [13, 74], [80, 134]]; loss = 0.032955 low_pass_filter = 0.300
+Epoch 0: | | 22239/? [3:31:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 22240; scene = ['6d727b8f5862a634', '1319170a73cb514d', '7afefd271f2ff47d', '791c6386a4340932', 'bedba1846d7b3f88', '9a902960aaa032fd', '67693f88a026e955', '54c0968cdfab4471', 'fe356da855cd3c76', 'a637b8400669672c', '7b78a2113b0b67e0', 'fa42604243a1cf5c', '86758eb672184f0f', 'b48a3b06176567c3', '3101309753e2f063', '73d4487e58b6b6bd']; context = [[115, 168], [55, 97], [164, 218], [3, 59], [8, 57], [53, 100], [22, 60], [2, 40], [8, 48], [8, 50], [159, 209], [115, 158], [35, 89], [62, 116], [28, 71], [67, 107]]; loss = 0.028194 low_pass_filter = 0.300
+Epoch 0: | | 22249/? [3:31:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 22250; scene = ['5e584ec33613a432', 'da6a06777bf70381', '55eee87b61d361b5', 'e6ce213193d24e64', '05ed7f84c7d34ed9', 'cc7d521f0185cc9e', 'cf2110a63b0ec3d3', 'feb5e3022fdc674f', '8411baa1ad3a5c6f', 'ce284b41bc2d6abb', '109d95d5de8c2056', '15121aa15652bcdf', 'dd4916f348c17aa0', 'b38f933773a331bf', 'e0f9634ac743f6e8', '25b566c54e1d3c7d']; context = [[8, 60], [27, 65], [58, 112], [85, 130], [68, 104], [27, 64], [31, 92], [6, 43], [76, 123], [4, 46], [79, 120], [1, 42], [0, 40], [21, 68], [38, 74], [67, 111]]; loss = 0.023462 low_pass_filter = 0.300
+Epoch 0: | | 22259/? [3:31:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 22260; scene = ['bf0c5cb654dd1e0b', '700ac3a4e337c355', '041e80ca1179ed69', '01a8f17430811e07', '969e0fb4ea498d2a', 'ca042138cc5291a8', '452bec637695fb61', 'a56927ac0e84b487', '88dcb5cdf83eef5c', '89f06e96811dd13c', '9e4bbe87809330fc', '44cb993e19c042ab', '91a5dc05e579c726', '15e6c1b0d22b4805', 'e69545e8027887b4', '5409ddd120a2e6a5']; context = [[78, 141], [2, 39], [12, 56], [27, 76], [12, 67], [56, 112], [3, 44], [0, 62], [14, 52], [10, 69], [116, 160], [7, 55], [43, 81], [89, 128], [9, 57], [28, 83]]; loss = 0.026567 low_pass_filter = 0.300
+Epoch 0: | | 22269/? [3:31:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 22270; scene = ['cf0dd04859dd91e4', '71e45ba112868691', 'ee4038769ba70986', 'a2bf97c198b5b510', 'd9d3d5e31c1103ba', 'acf5370b7f9982b0', 'f0de2f217c4e3f32', 'da635272c8a2b142', '8f15d621211d0cf2', '524021c246a1488d', '69bc465e5a422357', '6a089ad9ba7da80d', '54f675ec7c77eddc', 'c97f679a709b82c6', 'ec4e714f7395a1eb', '5a0df8c07e9a9fe9']; context = [[41, 91], [30, 72], [100, 147], [22, 84], [6, 54], [115, 165], [0, 38], [62, 101], [2, 53], [60, 120], [88, 146], [64, 110], [127, 167], [5, 54], [28, 75], [171, 221]]; loss = 0.024849 low_pass_filter = 0.300
+Epoch 0: | | 22279/? [3:31:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 22280; scene = ['bf78e74b9709529e', '5960b646542df055', 'f0dede73d7704d1f', '1a314c79785c4dfb', 'b215bd4e6fb3908e', '8be3a9f4149545b6', '0e85f9c3973b1102', '7c4216f5c1228f5d', '96511adf959795aa', '386ab02cdb228dd8', 'c3014424adc10c07', '8b029362353581d3', '7e54b2a98ef2fa85', '7a7a9fe746307fef', '669850df6e386e8e', 'cd27c675fce414ca']; context = [[44, 83], [0, 36], [24, 67], [44, 103], [68, 109], [100, 148], [170, 221], [29, 76], [118, 169], [24, 63], [94, 148], [82, 145], [11, 63], [43, 91], [6, 69], [64, 112]]; loss = 0.027276 low_pass_filter = 0.300
+Epoch 0: | | 22289/? [3:31:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 22290; scene = ['03e2443677ef9f25', '07cc0d72ad68bfa3', 'a318778c76e7390d', '404096eeef719e20', '1b59a7afc6aef520', 'a12c74058192f695', '1ca35396fbd10b46', '91f91c407bc8b320', 'bd42903cb96596e4', 'ba876a2b1024ba96', '37382e949c5071a2', '8740e1f6de885c55', 'd220b5a896dd7fe1', '5061d6e64c05022b', '92fa1fe24b4ca072', '18629a884d3d0687']; context = [[23, 83], [1, 40], [124, 164], [17, 60], [8, 50], [55, 110], [38, 78], [9, 68], [45, 81], [10, 73], [3, 47], [96, 158], [135, 180], [55, 118], [226, 268], [3, 65]]; loss = 0.025196 low_pass_filter = 0.300
+Epoch 0: | | 22299/? [3:31:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 22300; scene = ['1e34f5b87ccb156f', 'c60321ebc88ec957', 'f2851940fc2d313a', 'a9ef4a24b4d444d9', '0d7e98c8cb6b0f5e', '470ab1ead567352a', '9beec741422ba809', '210453e1d754af6e', '515583ca3493111d', '786d4e8a8c162c2c', '36f77b7e22d93207', '88b2ace543554005', '06eb937c6f2a45d1', '70a6534438ec97db', '794a33acf2a0863e', '1164f5249fa700ea']; context = [[69, 131], [149, 210], [122, 175], [24, 61], [23, 65], [1, 43], [10, 50], [2, 59], [19, 65], [40, 103], [37, 87], [32, 90], [68, 125], [70, 123], [121, 176], [65, 116]]; loss = 0.024769 low_pass_filter = 0.300
+Epoch 0: | | 22309/? [3:31:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 22310; scene = ['64cf5fe1833415e2', 'dcb202dbd3a06062', 'acc987dc537ca73b', '5d8e9f05b0ff98f0', '99e3303a2fac35ae', 'a44d6979b3bafcce', '63530ed9d72a8372', 'f47283447b11a0a4', '375a71d06e55dbd3', '554969e92f0c8d3b', '3c9a565ad968626d', '2b63e3da632073f8', '77da7b2b980f34f9', 'f2f7df2a8b307e10', 'c902db04aedf721a', '229a78770f9e62ab']; context = [[156, 213], [28, 76], [0, 38], [210, 264], [142, 200], [6, 61], [47, 109], [11, 51], [45, 105], [86, 130], [57, 98], [34, 79], [31, 85], [0, 62], [69, 128], [80, 132]]; loss = 0.026982 low_pass_filter = 0.300
+Epoch 0: | | 22319/? [3:31:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 22320; scene = ['194dfaa589c9981d', '7e190cd29a835d3b', '6b8350934fe76833', 'c31a26091e7994c6', 'fc96fc284fcbac43', 'a7132b7deb50843c', 'cd0c3be3f75fe832', '7d1b94a686da6df9', '4f8f147aa57d41b5', '220cb02a56df8409', '06f89770ac98c0bc', '17207c6d01e581aa', 'ea75a24310baa880', 'a4d6bb9fa8b24cd1', '170b4b62ccec39ac', '18c331ce99f35768']; context = [[23, 67], [17, 65], [22, 80], [1, 59], [20, 81], [4, 54], [112, 156], [4, 44], [65, 110], [12, 74], [13, 62], [12, 69], [19, 61], [94, 142], [45, 106], [51, 95]]; loss = 0.025841 low_pass_filter = 0.300
+Epoch 0: | | 22329/? [3:31:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 22330; scene = ['9fea2e8801abfd5c', '9d11c0c1b866f4ce', '43ce05d6475da02d', '57374e9e079460f5', 'd691e78bc7e2b8b7', '3f793b8c1202aea3', '56134186ef38679f', '5032a59d3276a404', 'c3e652ba1e5767c2', 'b5a6bd7885cfa039', 'e78f54d920ccb3b8', 'c4c75b682e0cee7c', '49eb4d69de6420a3', '556db71008eeda6e', 'a6da78f1d8c8ddd5', '67b8cd009c384c95']; context = [[9, 70], [152, 205], [97, 138], [4, 51], [0, 41], [31, 92], [47, 100], [82, 121], [5, 45], [21, 61], [4, 42], [3, 39], [10, 46], [72, 128], [230, 277], [114, 152]]; loss = 0.028252 low_pass_filter = 0.300
+Epoch 0: | | 22339/? [3:32:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 22340; scene = ['fd11dfd85f7ec571', '0cdc19b76668685d', '300f90dbc5f5caf2', '4d3919cca0eba102', 'fc740fd1ede079af', '1456ee4280583260', '62150f8a9d2176f9', 'e89a821f4ae317da', 'ac42ff7b8e4119c3', '7fc02c1b66b7464b', '8f19401489503eec', 'f63601b5eeb07187', '3283be94eb01798f', '904d8b97e9e93373', '59caa671e1d05721', '246c5b6a15519b6d']; context = [[13, 63], [29, 70], [3, 41], [5, 68], [105, 168], [6, 68], [62, 121], [67, 107], [13, 76], [8, 48], [25, 63], [113, 164], [25, 69], [5, 63], [2, 63], [25, 67]]; loss = 0.026686 low_pass_filter = 0.300
+Epoch 0: | | 22349/? [3:32:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 22350; scene = ['35f1002ddc4fbebf', 'd3050899f139615e', 'ecac75a36d941d5e', '3b1fe6ab1ec38c05', '61b1040db43a48aa', '6be96a2ce575c89a', '273fce55932d575a', 'ee8a4c0cc4c523d2', '4931105c27ccd2b8', 'a67229c34e33f896', 'cd6999ab6b9c1038', '54c42ebf9c2e8c6a', '759a98733188003f', 'a316eb155d7e477c', '241d717da4a8eb58', '71911b4af12b9a16']; context = [[0, 57], [27, 85], [37, 92], [1, 46], [8, 71], [33, 82], [0, 55], [110, 164], [31, 83], [2, 46], [37, 77], [37, 86], [4, 51], [136, 189], [8, 45], [18, 81]]; loss = 0.023288 low_pass_filter = 0.300
+Epoch 0: | | 22359/? [3:32:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 22360; scene = ['4b15db7b359a0492', 'ebb2ee0fdf9adb4f', 'ae63b7ded897a531', '629c6f1eb4c7af9a', '4bb48481c6ccd349', '509ba1d49682702b', 'a1d8379126418c67', '89f434159557854d', 'a6ec4571131be6da', '4ed0cf754fc4454b', '223e2c052f914311', '478531030bb5fe18', 'e528d17adef1f1bc', '4c9b371e4c24c2f3', '8761503eabe5b1f8', '5878fff178507413']; context = [[2, 47], [13, 58], [3, 50], [8, 49], [129, 189], [28, 88], [5, 48], [6, 51], [18, 71], [28, 70], [20, 60], [47, 100], [42, 88], [38, 85], [58, 117], [128, 177]]; loss = 0.027592 low_pass_filter = 0.300
+Epoch 0: | | 22369/? [3:32:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 22370; scene = ['da6bfbd9e35142fc', 'f7bb1f4325835c79', 'b3019d4573e524f7', '2dce89a97b7df3f4', '97b724d2bcdba3ca', '649f95b9d22597dc', '7e6401b61f809b32', '37060663b671e231', '02768fad99be3290', '706abfac67ae7793', '10e61a5f06416ead', '040807dbd017dac4', '9a82203df3eb2e60', '74a6478d7568ab6a', '31c3a95961adbb6e', '5fa36547a2eaded7']; context = [[71, 125], [8, 48], [19, 59], [192, 250], [130, 174], [0, 36], [108, 152], [92, 141], [4, 44], [141, 183], [57, 117], [72, 121], [124, 166], [107, 161], [13, 62], [8, 47]]; loss = 0.028740 low_pass_filter = 0.300
+Epoch 0: | | 22379/? [3:32:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 22380; scene = ['d7adef0853c541b7', 'd5dc285dfb49017c', 'cfee77c0ae0956f8', 'f231ec8aae351c5d', '0ad07becd5278e08', '04858eed5963bf0e', 'f05b0d2de6f263ff', 'e4501419231443b0', '9895ddb78dfb1d04', '5441c943ec7a6606', '5c17394155748093', 'f70e853af8735679', '08fb0a49e76ae00d', 'd5700b39730d6f6d', 'b2a4b10693604581', 'a7a54b27565d7c3e']; context = [[40, 101], [187, 237], [19, 60], [9, 52], [151, 187], [70, 117], [56, 96], [14, 67], [115, 163], [200, 245], [9, 45], [57, 108], [54, 104], [42, 104], [11, 56], [55, 104]]; loss = 0.025315 low_pass_filter = 0.300
+Epoch 0: | | 22389/? [3:32:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 22390; scene = ['704f321e2f7ae62f', 'c315feff5caaf789', '1ab9594c7015ecdc', '117c40ed2a9e43f3', '82d16f436a69a71c', 'faec00f5ad1203b9', '6a770609acf21a54', 'b2262395c0d1bb4d', 'dbb0eec549cb5e45', '7ce0211de76d1a1a', '8dae5ef8abae8da8', '5f5bb12d476cdb64', 'ae267c0eaad7d286', '1fabb902ef63f533', '8b01b8a2eea580ff', '6cbacc1a289ed624']; context = [[105, 141], [19, 67], [44, 104], [18, 60], [0, 52], [6, 57], [49, 90], [110, 161], [2, 39], [35, 71], [5, 43], [132, 174], [17, 75], [6, 51], [12, 56], [20, 75]]; loss = 0.022343 low_pass_filter = 0.300
+Epoch 0: | | 22399/? [3:32:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 22400; scene = ['0dd6fb899f1e3a18', 'dbdfb42f84f5f2bf', '050248d92269fdd0', '3fd5003b2ddfc76c', 'e7cfbaa323e6a40e', 'fefee4a630297cdd', '39cdcc5feb2f7f4a', '10a259caf4519047', '14d78331d07a5797', 'ff4baf1fa516e521', '6592b3928e33a087', 'c93ea1bee6fcaa99', 'c15e9f65e844881b', '52e630efc8cd0959', '5eef7d76653d3c85', 'a8486538b6d9d2fc']; context = [[1, 57], [6, 43], [118, 175], [0, 52], [13, 65], [214, 255], [27, 68], [78, 127], [32, 73], [38, 74], [19, 81], [9, 52], [8, 60], [34, 74], [30, 92], [80, 117]]; loss = 0.027255 low_pass_filter = 0.300
+Epoch 0: | | 22409/? [3:32:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 22410; scene = ['fc33c2bb40bfc9f2', 'b0e2a9b7d0e9e31d', 'fd2c46067be23de6', '866dcd2492e1486c', 'a53c95a54a909cc6', '6eb626dd0d103edc', 'd84290aec2589a15', '7777e23e4ab8cf07', 'ce3c1b2e2d678ab1', '88195dba892d7a54', '9e35575322e0114c', '1d0e22466bf0510a', 'e7db34b4af6c7862', '471ecbb9b6d8499c', '906c19dae589665c', 'f3a2bc72a2f91be2']; context = [[64, 121], [1, 50], [17, 61], [19, 77], [4, 51], [38, 99], [8, 49], [12, 68], [104, 164], [6, 45], [8, 61], [20, 76], [16, 63], [64, 101], [4, 44], [40, 85]]; loss = 0.022625 low_pass_filter = 0.300
+Epoch 0: | | 22419/? [3:32:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 22420; scene = ['4de8ddccf7eee0ba', '8e9fcb869497ce78', 'f717191e3d9af1d7', 'c8a486b083a1b41f', 'bf4e983248554c10', 'b5057adf5224f835', 'b8e02ba0056b4c30', '53284766c7c0f818', '61f631d8fa601e6b', 'c947a2448e98cc2b', 'c4ed01fdbdc7851a', '8895de712e5fc440', 'ddfa73b45dfa987d', '9cc2ef713f12e92d', 'd0252dde8512de70', '184871528de94493']; context = [[91, 130], [38, 94], [68, 126], [4, 55], [3, 65], [64, 115], [45, 103], [24, 66], [85, 143], [15, 68], [31, 87], [68, 117], [157, 199], [16, 53], [100, 148], [34, 94]]; loss = 0.165447 low_pass_filter = 0.300
+Epoch 0: | | 22429/? [3:32:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 22430; scene = ['5f28b2d3f4828007', '7e8e66f4e02657d6', 'a5b032ef6a4d3ce4', '726308ff6efdfd6b', 'e63d845cb83be6c9', '37f28ca0c73ae057', '4b51e4231150adf4', '16fd5a162c4b0093', '283963dccb852f84', '2d9d2b3d1a7fb3ed', 'ffac01816b4f0f08', 'bd2cdd0dd1240f74', 'e1b044176586f8cb', '5d7b4876fcc0084e', '1f268c1c41e9163b', '2133828ac8c5d46b']; context = [[17, 76], [3, 57], [117, 169], [28, 76], [11, 59], [59, 104], [63, 109], [71, 107], [57, 111], [57, 95], [6, 62], [83, 134], [1, 38], [44, 86], [12, 64], [36, 74]]; loss = 0.029745 low_pass_filter = 0.300
+Epoch 0: | | 22439/? [3:32:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 22440; scene = ['2b144457be7cb305', 'e194ab9120ccbd35', '08fc2ff373ab5df6', '4338e66650fe497b', '3273a5974acd6705', '40c43ac3d0c1664d', '3103211bbc2408ea', '5ff34635d3805f71', '4e21171ba32ced42', '03c7e1fa9b3268c5', '01a9380a3dbe003b', 'f71d860c46301723', '2b7df22871f54645', '9dca41869c4232c5', '185ae2b3f49a3e52', '071e0d640a6c257f']; context = [[169, 215], [13, 64], [5, 51], [8, 68], [21, 83], [163, 221], [31, 68], [47, 107], [42, 85], [23, 82], [95, 158], [47, 105], [120, 178], [4, 62], [5, 60], [66, 122]]; loss = 0.044559 low_pass_filter = 0.300
+Epoch 0: | | 22449/? [3:33:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 22450; scene = ['554c3a05bdd75ba6', 'f07b2f30f82c54da', '1a261269ffa7e3dc', 'da1de03a9c3c0543', '4e4547cb06d31609', '5f93a3611386fa2c', '4eb0fb91ffe321e2', 'd05a0ee5ba0c25af', '43e26dd033c3ed78', 'd5684fa2b111efe4', '95d8bc250047b07b', 'c6d63a923255da1a', '394d15aa7eded273', '842f5177f9c7fa10', 'dbee8d73e5732008', 'b30badb6fa628bcc']; context = [[187, 224], [146, 189], [98, 156], [2, 48], [62, 100], [89, 128], [25, 71], [14, 66], [29, 90], [10, 51], [42, 86], [174, 214], [13, 57], [54, 109], [43, 105], [46, 106]]; loss = 0.024907 low_pass_filter = 0.300
+Epoch 0: | | 22459/? [3:33:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 22460; scene = ['33d38bd50acba191', 'ddc6e8abed84d947', '243515e0bc44ae29', '95f22b8591bf4be2', 'f1f59741a955ec70', 'b3f005eee8ef88ba', '628975d2e71891c0', '0066de2687c63b09', '08f6ccb311499ba0', '18dee61fc1815b82', '3242954a362c68aa', '6014363eff580dce', '4cbd9d8955a921fb', '71910327eda55592', '167a46f4392398b0', 'a508ec7fbde00d1a']; context = [[24, 80], [156, 217], [1, 60], [22, 69], [2, 42], [109, 160], [153, 201], [192, 241], [99, 138], [1, 40], [0, 54], [42, 79], [49, 106], [41, 84], [38, 92], [10, 65]]; loss = 0.049395 low_pass_filter = 0.300
+Epoch 0: | | 22469/? [3:33:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22470; scene = ['f476718eca867e7a', 'd91f6e7263a2622e', '0ae16be3e6d6b471', 'a0ec91ac8cb3e9c1', 'f61c95386152c60a', 'b77359fd7f8f3666', 'b6bc3316b07d412d', '258a6cd6f9351454', '2d52b9450f899b47', '5f9b7e862d984558', '35bc2aaf03f2a1a5', 'b7d82c5309a92af1', '9d9bde4f139c0655', 'd6ae697220e70a81', '861de260074f925c', 'cf36ab0f6d8d0096']; context = [[9, 60], [55, 101], [22, 59], [36, 76], [22, 60], [16, 64], [15, 56], [40, 80], [33, 94], [79, 131], [25, 62], [28, 71], [20, 56], [18, 71], [13, 58], [0, 50]]; loss = 0.029076 low_pass_filter = 0.300
+Epoch 0: | | 22479/? [3:33:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 22480; scene = ['1471a5fdc5bd5d6b', '5bd9925b916632d9', '91583403fde33a20', '4419feca3b361424', 'f650d13792230fd4', '96b0b1c4e87606b6', '2713a35534850787', '6e81ca0e354790fb', '8fdf56dba0159b7d', '01de07e7daadeef3', 'c5a2a1b9854c9fac', '5ec323891006d34b', 'b0ff8c5c54470cd4', 'ed6cb4f3143f3d9a', 'cb70695033be49dc', '5b3d31121fbbfcf3']; context = [[145, 190], [2, 42], [25, 86], [109, 145], [27, 63], [73, 112], [99, 153], [40, 78], [221, 268], [8, 68], [2, 52], [56, 97], [51, 106], [6, 69], [27, 64], [16, 57]]; loss = 0.028122 low_pass_filter = 0.300
+Epoch 0: | | 22489/? [3:33:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22490; scene = ['3d815e82280adf55', 'e81ad0d1b43649ef', '82287431217a5884', '9164e11049261164', '41b821e9ebec0774', 'a6740c97ce04f5bc', '58535fae1ec6f6a6', '17234337105b4fab', '027413557adbbb48', '7a1fc9f2f6a4db3b', 'bc053a53376b6547', '859251f4f243eace', 'fcdd1a23d071965a', 'e665c35b6f9f6ec7', 'e56a6d31db649cb9', '67c392fa9c39f4a9']; context = [[59, 99], [39, 80], [131, 168], [6, 62], [7, 67], [0, 50], [49, 85], [0, 61], [8, 62], [91, 138], [1, 53], [41, 100], [7, 56], [9, 54], [24, 83], [21, 79]]; loss = 0.032248 low_pass_filter = 0.300
+Epoch 0: | | 22499/? [3:33:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 22500; scene = ['1713fd97a984662a', 'bf6b4b934e4ebe0c', '714631624aba3b4e', 'f7f3a0fc0824b3c7', '8ef966b685a58bf9', 'cb4a606c07c51b91', '71c1c052632606d3', 'e63f98971b4a8c7d', '5e17c7b14a6238ad', '3d26d392a63a781c', '9559d128b3a1eef0', '78cb32401cc6b824', 'e41c005265b2a44a', 'f9c6bef8f2735fef', '8bc90a42341c548a', '52c96deb250798a3']; context = [[14, 59], [4, 40], [1, 64], [113, 172], [164, 218], [18, 60], [11, 59], [51, 107], [5, 66], [48, 92], [25, 61], [28, 64], [6, 66], [10, 47], [47, 108], [2, 55]]; loss = 0.027479 low_pass_filter = 0.300
+Epoch 0: | | 22509/? [3:33:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 22510; scene = ['96fa083c727e8576', '26982d1d02e9afff', '4fc52f6aeecd8f82', '63acaadeb84a31af', '969eae779f4745e5', 'afe08596b2895950', '88f7bc47eab8af52', 'be4f1d3a9081ec93', '951d3d3360153a68', '8ed5a86dea1245cf', '622a0d2554fc5402', 'aa1601b3c7e10e3e', '6c5e37d3a0fe6230', '0f6f85f900c47557', '014f71bd22de9f37', 'af96623802f4dddb']; context = [[56, 104], [31, 92], [21, 82], [16, 58], [4, 54], [116, 152], [29, 69], [92, 152], [163, 226], [51, 112], [40, 99], [21, 76], [40, 101], [2, 51], [2, 61], [7, 67]]; loss = 0.025471 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 22519/? [3:33:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 22520; scene = ['fc4e355ff4418069', '8110578b15c47f1f', 'd0a74bb17c56c058', 'f1e7b7bad2598536', 'f522fbe7b958f4c5', 'ba1f8b170d0e8724', '05f081ca4093fa11', 'df24bd4bbcc782dc', '0463216dbeb6db1e', '681f1e6504d0a8a5', '06986030244ef46e', 'da6b9c9d5841b108', '03e7fb2f748ad61c', '684aaf7f7b29f34a', '533f5b527e817a84', '95aea39a1302166f']; context = [[138, 186], [22, 64], [20, 62], [4, 50], [216, 270], [195, 255], [8, 45], [53, 115], [14, 70], [17, 74], [149, 201], [97, 146], [168, 204], [27, 89], [66, 114], [49, 89]]; loss = 0.025969 low_pass_filter = 0.300
+Epoch 0: | | 22529/? [3:33:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 22530; scene = ['3e4ee1fb4655da82', 'e142bdbc31cae90a', 'f8acae9d5aa8c560', '3c55515a280e20da', 'db8479f59abcc803', '49ec44f255323b8b', '58b0665f80ffccc8', 'd63833f83f138e65', '05e64ffbe1be863b', '1f7840b62cbe2522', '5841eb15726c674c', '064941adad8489fd', '9dd2c1c6262f1e33', '3407fa7d6d62c1f2', 'd19b2171a8edd830', '0a4f09fb7ef429ad']; context = [[44, 91], [187, 233], [182, 243], [1, 57], [2, 56], [153, 190], [47, 96], [17, 60], [6, 62], [6, 59], [23, 83], [15, 54], [8, 63], [0, 37], [1, 63], [59, 117]]; loss = 0.026533 low_pass_filter = 0.300
+Epoch 0: | | 22539/? [3:34:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 22540; scene = ['83dd55551bb380d2', 'f3d9d961e7865bb2', '7fd3d476aa6aef4e', 'f26569d1f35138a3', 'bc137dc3e2ae2936', 'adef9aca9df804d5', 'aea116811766749a', '7d50624fa2e20888', '4b885f6285d3fa5d', '331af5a6f01ab41e', 'ef5a917e58c55120', '8eb7a95a27a7e436', 'd4892209f4d03868', 'f418bd0b0734b3ba', '6515e94139622d0d', '197f639df425ce8d']; context = [[21, 77], [8, 67], [155, 215], [13, 65], [83, 137], [6, 59], [26, 64], [14, 68], [29, 68], [14, 55], [27, 84], [25, 79], [37, 77], [5, 42], [0, 60], [65, 109]]; loss = 0.067386 low_pass_filter = 0.300
+Epoch 0: | | 22549/? [3:34:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 22550; scene = ['1ef466c2f5e9397c', 'e7899ec595da145f', '98f893c44aa4d5ce', 'b2f45bfd5a0668b0', '6062ff955d0269de', '5e133cf4f2e3ea73', 'b248b09860307140', '22d5fc12e2b97512', '54d51c52ce0c1adb', '69191f26c8ecb690', 'a73adc456c696488', 'f4a34387a442d930', '7efc8e58de522f3d', '6da5c9af836b9a15', '44fa1d39a18b5526', 'f63e8858ae11bef5']; context = [[110, 174], [9, 53], [17, 68], [18, 74], [77, 134], [31, 87], [35, 81], [9, 69], [206, 244], [48, 103], [7, 49], [0, 51], [9, 69], [8, 47], [22, 59], [91, 144]]; loss = 0.029764 low_pass_filter = 0.300
+Epoch 0: | | 22559/? [3:34:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 22560; scene = ['db25ce184054217a', '58aec0707d094569', '656546e561aec370', 'db062134f9dec5f1', '6713a81ed431d91d', 'd34fb0e92018e2a2', '5d244ada6c250442', '7db4ed902d003a63', 'a025eda8d656783b', 'c8c116c28ca108b0', 'da127d5d82256afd', 'ef9a9a9d9f9d48d8', '35ca9463b81405e1', '99a47f816620e8d5', '93a3175cacb5cb3a', 'a1d3465ad97fb1db']; context = [[72, 114], [13, 57], [39, 84], [25, 79], [111, 174], [5, 47], [6, 53], [99, 155], [74, 131], [35, 78], [19, 72], [9, 57], [16, 54], [31, 78], [38, 89], [3, 59]]; loss = 0.025707 low_pass_filter = 0.300
+Epoch 0: | | 22569/? [3:34:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 22570; scene = ['7878ff9d2f929bff', 'cf3fa6c4bacc2e97', 'de9b8b8e08b9a045', '7c5f2a6693417896', 'b0b276251c83bb91', 'e432d8c790cca366', 'a89d49837b7303c5', 'd02f8cad1ec64f2c', '6dae04908285c48b', 'e58f27f45d7cce3a', '5e924b8c9d7abf31', '3875459f2c397848', '80b6fa3cb7a7a6d0', '065df4f6d6ac3442', '48d01db8f14088d9', 'c08928bdf05b26e9']; context = [[2, 42], [35, 75], [21, 84], [140, 191], [65, 117], [15, 61], [80, 133], [96, 160], [2, 55], [18, 81], [112, 157], [143, 207], [29, 92], [21, 63], [18, 66], [34, 94]]; loss = 0.027321 low_pass_filter = 0.300
+Epoch 0: | | 22579/? [3:34:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22580; scene = ['574417986f69166c', 'ca65a604c0f00319', '7f4353922e24e719', 'd1a233764dfafcf4', 'a160e085a31100e7', '6bb5aa41ad44b00e', '5c56b0f05a358572', 'c25c954d46c315f2', 'c7aa7a7671b8b200', '5d5ec59fe7e455e3', '7952a6591e62cfda', 'ea9520df36c033cc', '99ecd2f9ce7c7330', 'baf88881d788b02c', '4c691165a406de40', 'cb1e9dbfda2add21']; context = [[22, 66], [93, 130], [63, 102], [38, 76], [48, 90], [164, 226], [1, 39], [14, 71], [2, 54], [138, 189], [131, 169], [86, 145], [0, 44], [18, 81], [37, 96], [12, 69]]; loss = 0.024825 low_pass_filter = 0.300
+Epoch 0: | | 22589/? [3:34:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 22590; scene = ['6a0bc4161911b7b6', '166e8a63d50289ee', 'fd5a7805e36ac44b', '5740ea28f40a1157', '622415481d35387b', 'b336537140e3642b', 'e767e1623adf0471', '0f7730277fc0ed26', '3c811ca3025087b3', '4d5b72274eaec273', '06b98faeaee4b685', 'fd0a48b3f2045c87', '58c3d4b20c0af4b0', 'ebedf7681c04968a', '386edda973505b9c', 'fff4563a61662382']; context = [[13, 56], [61, 124], [48, 108], [11, 60], [18, 68], [2, 47], [150, 205], [14, 76], [0, 39], [41, 102], [1, 58], [10, 49], [226, 268], [196, 246], [33, 90], [61, 99]]; loss = 0.066393 low_pass_filter = 0.300
+Epoch 0: | | 22599/? [3:34:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 22600; scene = ['ba1c15e73bfc4eba', 'a7842c63fce7452f', '838f2a96bb229475', '965a824427baf33f', 'fa4c59df5746e5ff', 'fd8ebc05ddadffbb', 'e4aa6bb24aaa6dcd', 'bb3a8be86231059c', '46265b0af1924017', '15d1a3b3fdfedbb8', '4efdc41ae90785f9', 'c49161c93cfc92e9', 'e896b9fac2351c69', 'f10a5801e857dd6c', '4fdffa46c5043ee1', 'c21bf69143442a3a']; context = [[125, 162], [109, 147], [19, 75], [26, 80], [2, 43], [25, 68], [0, 61], [8, 50], [1, 61], [103, 161], [64, 104], [5, 52], [6, 55], [36, 85], [15, 75], [31, 80]]; loss = 0.029482 low_pass_filter = 0.300
+Epoch 0: | | 22609/? [3:34:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 22610; scene = ['4577298e935ab57f', 'af4d90b5286718d0', '0264cec7a5303ccb', 'd8a2cf8b506f71c7', 'e0fc8d5106e28ee2', 'd59c00fd440ac6c5', 'ade900eea4013390', '71bb80ab49a07c24', 'ce5fbfc75c316c2c', '6b3e1c805ca87fd7', 'ae9f87b6c5c2c5de', 'f14d299d3c9989a6', 'f9e59718e238a159', 'baa0a61d22b9e051', '6d034c3b0328d696', '28a2f4302568c2a3']; context = [[13, 55], [7, 46], [2, 39], [15, 68], [1, 62], [97, 140], [5, 62], [29, 80], [102, 164], [36, 92], [0, 61], [53, 92], [26, 72], [80, 118], [137, 187], [33, 72]]; loss = 0.030136 low_pass_filter = 0.300
+Epoch 0: | | 22619/? [3:34:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 22620; scene = ['7264da2e5617c4da', '80c56b76ba0f1594', '49362275159e338b', '00ab0ac739885029', 'b8062aaa7a76eff2', '48a3d3197bea50e9', '6a5eaf28db8fee7c', 'aa2da4756cbc5fac', '16b21617bc0ec95a', 'a83fb8c2a25ac2b4', '215036beada7a57b', '92f91b8f1e566a36', 'ee1e685224259d5e', '06de2427c04c4608', '466101425e69ba66', 'f450b5eb36699b57']; context = [[12, 59], [6, 49], [203, 263], [16, 61], [1, 45], [74, 111], [222, 261], [75, 112], [9, 49], [20, 71], [8, 61], [29, 83], [16, 70], [124, 176], [25, 78], [149, 213]]; loss = 0.020667 low_pass_filter = 0.300
+Epoch 0: | | 22629/? [3:34:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22630; scene = ['ffb34ef6c0333c37', 'f403f83a9cac4ba5', '3d313d32ec13ddd6', 'eb1785431a9d20c6', '4305d5a5fab3efa5', '7b8ae88adecfb87f', '6281f1e8ec9ca792', 'c3708bd52a94f1e6', '6b5033800250e9d7', '4d53551d81b226fc', '0d7fa88c790433ae', 'e15cc573a9fc5ba0', '272933b2e8080470', '489658664221ec4f', 'e2641f4a28a1b642', 'da86e5e1df676050']; context = [[44, 84], [41, 84], [0, 45], [78, 122], [14, 75], [2, 46], [96, 159], [1, 46], [45, 103], [13, 51], [3, 63], [3, 66], [8, 57], [121, 178], [1, 54], [101, 138]]; loss = 0.032284 low_pass_filter = 0.300
+Epoch 0: | | 22639/? [3:34:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 22640; scene = ['a72b94bee0c0c469', '5ceded5edfceb262', '68ac9aca7a4cae97', 'b88bc7e2f6a64a68', '7c3476a62ce00a5e', 'e316606831971498', 'afb48c56cc7ce3d7', '110eff3e7cfad06e', 'f0b964cc96ba3d3e', '28c433a75667a138', '4458d2b066bc5da6', '8f20f72494bf5bdd', 'd4f666ac0061eee6', 'b1fa3763e9862c47', '01042371ee0b76ac', '96cc4eac057b8f1d']; context = [[168, 209], [152, 205], [61, 105], [1, 44], [45, 104], [1, 54], [33, 77], [117, 158], [2, 42], [108, 159], [16, 62], [3, 42], [0, 43], [33, 76], [17, 70], [5, 44]]; loss = 0.026120 low_pass_filter = 0.300
+Epoch 0: | | 22649/? [3:35:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 22650; scene = ['16166f53500a5dc3', '6075fb811d2794e2', 'cc62a8c047cea639', 'ba6b9051d2f9ac9a', '069539334170c1c9', '2467dc0707ba0b41', 'ca9bea80d4e5bcdb', '04f4d235d970d694', 'c4c25091ecc2c5e5', '3ce0a9cc3874aee5', 'a45e9fecea8c15c2', 'a6631edae47463d4', '9bedb2eff1cc0ef6', 'af973133388b427a', '618d37c771bbfe59', 'e8dd58228cf4436f']; context = [[3, 61], [53, 108], [42, 85], [0, 54], [40, 86], [21, 81], [3, 58], [5, 50], [68, 105], [158, 197], [43, 95], [47, 85], [65, 116], [32, 78], [30, 81], [43, 97]]; loss = 0.025857 low_pass_filter = 0.300
+Epoch 0: | | 22659/? [3:35:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 22660; scene = ['ac9a1770e4ceba74', '01dff3e73e135695', 'e66860cc136f6424', '3bfec395b8c94681', '61827b8206bace2b', 'ca419d74fb847a24', 'b708eb4026ae8eec', 'f1107a1bee7889a2', 'b783fd026ee69b9b', '32b351130816f54b', 'ba2d21290ad804a6', '6584d26cd17e774e', '468d05fe9cae4c74', '44033cb44fc70e62', '55b6f9d7fd7b048f', '784d25b1c8496d7d']; context = [[86, 143], [163, 204], [4, 65], [5, 50], [36, 75], [126, 167], [1, 50], [12, 55], [134, 177], [1, 44], [126, 168], [70, 121], [72, 128], [54, 102], [32, 93], [57, 117]]; loss = 0.027614 low_pass_filter = 0.300
+Epoch 0: | | 22669/? [3:35:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22670; scene = ['88cde88863b6ab2b', '00dd81dcd507fcc6', '0b02dfcb00bf1883', '48ac926ceb75979a', 'abca2a8b2e786913', '231cee207e92e4a4', '9f54bd5339c8b477', '050c893adf8f2dc3', 'b9e0629edf084b12', '1775c4b83b3abfe8', '182c45ad9d9feada', '65787cb75001c98c', '6238ed8f3db76cb8', 'e92c4e41e6dd1d3f', '30140ca605192667', '8d5adf5bb663ed59']; context = [[3, 49], [157, 210], [47, 106], [15, 75], [17, 60], [0, 62], [168, 232], [162, 200], [30, 87], [47, 100], [22, 78], [102, 159], [13, 67], [64, 116], [157, 197], [12, 54]]; loss = 0.028880 low_pass_filter = 0.300
+Epoch 0: | | 22679/? [3:35:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 22680; scene = ['ae3c3f56ced468f0', 'fdcd78c4432bd860', '07457060bef3d9ee', '8cf869157be6230c', 'b3d00cf94ec7c598', '0fe6d0e400918366', '44d2f5ae8a130e73', '04dabeccd47224d5', '2005f0e5c1dcf4f3', '5c9c06be50b78c13', 'b050a2d77eb9b60e', '006f41ee9800fecf', '162c744bcf4469e4', 'ae1ca5263f6a9d2b', 'c0eeedcbdaec3ce8', 'b0e43e5b01a0e1fe']; context = [[0, 37], [25, 86], [44, 81], [136, 187], [41, 98], [44, 85], [120, 161], [11, 56], [36, 90], [32, 94], [56, 114], [17, 63], [18, 79], [1, 47], [18, 55], [35, 96]]; loss = 0.025160 low_pass_filter = 0.300
+Epoch 0: | | 22689/? [3:35:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 22690; scene = ['5b2b7b12a414b300', '8673faf0a9d48165', 'caf101beca56c0cd', 'bf27821542c7f807', '6ee2c9a1e111922e', '6fceeb6dbfb1d42d', '23aee843b167a52d', 'eb4564ff70997029', '7c617fa11bf5df02', '68f7ee0def2ecdb3', '010015f4186d810e', '39ea2488a39e7648', '2cce8941668b2029', 'b25d1b038eaca4f2', '7404373c2938ee0c', 'b617e22319a08f26']; context = [[171, 217], [59, 107], [155, 215], [0, 43], [16, 73], [111, 152], [33, 91], [18, 67], [19, 75], [45, 90], [57, 114], [46, 104], [51, 106], [85, 139], [81, 132], [135, 184]]; loss = 0.025769 low_pass_filter = 0.300
+Epoch 0: | | 22699/? [3:35:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 22700; scene = ['4bb27aeb5837c556', '8cb09e31cbe80b3c', 'd5c6cf0d7192f035', 'ba72bcdad317f0dd', '367d250609302784', 'dc5940ca97dc2466', 'da9dc8b7a8d9b706', '817f789e08bfb0e3', 'af72f5eb3b6193e9', '7fe87b53d021aee6', 'b6a0afa8b19af0a1', '8ebea716db7c0f02', '6230f0839caa9ef6', '0c188eedc0ec62f3', 'a4e191fd5a703c6a', 'c02ff7145e53462f']; context = [[163, 222], [9, 54], [37, 96], [8, 70], [198, 243], [0, 63], [63, 114], [22, 81], [20, 65], [0, 64], [92, 149], [41, 92], [42, 95], [61, 115], [76, 134], [25, 75]]; loss = 0.032002 low_pass_filter = 0.300
+Epoch 0: | | 22709/? [3:35:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 22710; scene = ['b3f8039ec7fd3e4b', '73fc75bd5d1e83a9', '1823f9bce4742ed7', '5c552b9885372466', '06b03bd52b56ca94', '3281c500dfa5bf48', '67a7ae30083745d8', 'ecdc54656ce30f4f', 'f23d895422f28357', '9db73c761e584373', 'd0e8acdfd091d26f', '31abf1faeab6bd13', '0b472e112995287f', 'f78010c2da94ccc1', 'a679582e4dce4bc2', '08aa99b304f37fbd']; context = [[17, 62], [5, 59], [194, 242], [14, 62], [221, 276], [20, 77], [101, 155], [55, 115], [155, 209], [36, 96], [20, 78], [7, 50], [3, 54], [77, 116], [19, 66], [9, 50]]; loss = 0.033497 low_pass_filter = 0.300
+Epoch 0: | | 22719/? [3:35:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22720; scene = ['1cf67dcee73f1c6d', 'efbf01ca01dda8f4', '322d3c9979c5f6d0', '05519147ca499d14', '9fe9c8baf0730f30', '887d4449540630d9', '75d9a26c318d615c', 'c3d8dd026931f46f', 'bfe6277ea60796e9', 'cb8ed23005fc6250', 'aab80bfddd3bd792', '4cd813b3c22aac8c', '9bb9087199582c6c', 'd0ed7169ce5f630b', 'cfcf204199e65d78', '1a90aae528bfbf17']; context = [[135, 190], [66, 114], [116, 164], [104, 167], [23, 63], [21, 65], [17, 63], [87, 141], [15, 62], [49, 87], [30, 90], [32, 72], [38, 79], [16, 75], [2, 41], [37, 96]]; loss = 0.023983 low_pass_filter = 0.300
+Epoch 0: | | 22729/? [3:35:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 22730; scene = ['d3edfadeed4bf16d', '0059ff3bc0a9b4c6', 'b1e7cbb83c7a1258', 'bc81e08ee7321620', '9df6d2d5fdb17248', 'af5b170dd00f375d', '94739072644d8de3', 'ceafc50a7ba41a5b', '55d3f2e5fd10a01b', '0790f14b976d94c7', '1c2094adf8c68792', '7192174862bcca70', 'b6cf407f46e0862c', '32eeb4a439a26fee', '197ed0be15628124', '5d273c36ce121599']; context = [[95, 145], [85, 144], [41, 85], [23, 60], [86, 138], [26, 68], [149, 209], [171, 214], [69, 119], [159, 216], [17, 56], [35, 89], [178, 235], [75, 115], [57, 95], [23, 74]]; loss = 0.027570 low_pass_filter = 0.300
+Epoch 0: | | 22739/? [3:35:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 22740; scene = ['f0a58c7d4fed3a88', 'a56643a01b020c11', 'a43bc11aa6cce69b', 'd5e225a84aef24a7', 'a28ad2d48bc4933e', 'cd916eca6a5850dd', 'c17f81d64774f6bd', 'b258d567622b6b49', '64738f5c93012be2', '56fc9a68c89746c3', '8731e4f6291df835', '28c4be784857bea6', 'ff1c09b5820fbf47', '4367d08eaaa983f0', '5d7cf77400ec9c60', '7f3747639c846356']; context = [[21, 66], [25, 71], [96, 156], [140, 183], [98, 147], [67, 107], [221, 272], [61, 112], [0, 41], [96, 153], [210, 269], [234, 278], [185, 239], [6, 57], [4, 53], [23, 74]]; loss = 0.026152 low_pass_filter = 0.300
+Epoch 0: | | 22749/? [3:35:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 22750; scene = ['ae08cd671996b1ff', 'e28ffd2fc4627268', '224077c8876d132b', '90af47b784746da8', '4ad89ebda1a41a62', 'f6b63e20382a6052', '2209341e8bd65dc2', '7de2ca731a4af54d', '00eead9faebb6daf', '714ac52a46a29820', '17d8d9419cdc2d4e', '7b84a9e2e7d8aa2c', '7816d1ccf7f11523', '8d6927aa2b7c5640', '26efd89887fea30f', 'cc71ef1d3925caa8']; context = [[34, 79], [13, 61], [20, 65], [1, 50], [30, 87], [115, 178], [39, 81], [151, 195], [133, 193], [3, 45], [39, 98], [2, 47], [87, 150], [4, 49], [0, 64], [50, 95]]; loss = 0.036273 low_pass_filter = 0.300
+Epoch 0: | | 22759/? [3:36:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 22760; scene = ['d9963ae38f556282', 'd56c1a8226330c78', 'a8d73f79bd0991a2', '42928282597bbae6', '483a3398bde8d8ff', '5df639b6091c31e1', 'c8e877a21e8c48bf', '5f50c0139db3d146', '78571463ec1147d0', '05b07df7b5443976', '63152876b2962eeb', '3bd8b6fc41cb1a82', '812f66c0ca94fcc9', '6ab4f1994ae94609', '2341163e34fee01b', '92e2c39c1b535214']; context = [[18, 72], [5, 55], [0, 60], [53, 92], [4, 58], [10, 63], [3, 55], [38, 95], [58, 108], [12, 73], [3, 49], [192, 236], [55, 101], [2, 59], [0, 40], [34, 80]]; loss = 0.025503 low_pass_filter = 0.300
+Epoch 0: | | 22769/? [3:36:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 22770; scene = ['6c9d30f8078cabd2', 'd2874cf14e0f0ce2', 'ea4914670ba6d0e9', '0777b711796daee1', 'ce57b9ebde2d907c', '64274f67bc885707', 'ff189499a6ed28d7', '3748e22aebddc113', '6c6276a02a533e71', '118e5ed190ff89e1', 'e34447ddccfc88ff', 'dfec7dc54f83b108', '22f47fa24b2c4091', '55c9115b95dff916', 'baa41c4e5a443681', 'ba0dc746d711489f']; context = [[90, 127], [38, 81], [14, 54], [34, 75], [4, 42], [16, 57], [29, 89], [12, 76], [1, 43], [2, 51], [149, 186], [84, 124], [125, 186], [26, 70], [29, 69], [10, 51]]; loss = 0.023822 low_pass_filter = 0.300
+Epoch 0: | | 22779/? [3:36:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 22780; scene = ['9b23277971f37b17', '9e6b1fc2cb9e258e', 'c150a69d763e0fd2', '771c41bed44766db', '00c5167e29241893', 'ecb65156238cc6a9', '03c010d19f1452fb', '4676d54100c9e75c', 'a983d5d23327ff9c', 'e242cd9849c42fe7', '0b9d66e2d4aea0fd', '3fbcf1abe6d59580', '01f39fc757f27d8c', 'e19ed05e2ace3cff', 'd9ca267ea9ad0d08', '6903e917c5bf1c37']; context = [[17, 66], [55, 97], [11, 55], [10, 51], [15, 55], [36, 78], [0, 38], [17, 59], [0, 60], [80, 143], [32, 77], [51, 105], [56, 101], [2, 42], [13, 51], [23, 83]]; loss = 0.029455 low_pass_filter = 0.300
+Epoch 0: | | 22789/? [3:36:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 22790; scene = ['373f042a22f7d6ff', 'cc7d521f0185cc9e', 'e6ce213193d24e64', '05ed7f84c7d34ed9', '7a552ba445f3a4c7', 'da6a06777bf70381', '55eee87b61d361b5', '7f838a041ae7c8c1', '5e584ec33613a432', 'cf2110a63b0ec3d3', 'feb5e3022fdc674f', '2df270a308fce16a', '54892db9883bdeb2', '52a73c0beebbd06a', 'e8b4e52e3f875679', 'e623a0ea7754acff']; context = [[131, 190], [9, 71], [6, 47], [60, 99], [33, 72], [94, 155], [64, 124], [211, 273], [90, 128], [5, 60], [8, 57], [21, 63], [53, 104], [35, 83], [0, 50], [29, 68]]; loss = 0.026569 low_pass_filter = 0.300
+Epoch 0: | | 22799/? [3:36:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 22800; scene = ['fc740fd1ede079af', '0cdc19b76668685d', '7fc02c1b66b7464b', 'd9fe6652451a430b', 'c1695cd6c0995eda', 'cef570ab285d57cd', '556394920765324b', '785aae46f263749c', 'c4f134a7df93ef3f', '90c8621facbe387d', '81ad54d5ffb317b8', '094e95643a9af0f3', 'f4c1819dbccb953b', '41e72019df0f1014', 'd56ac01183d2f244', 'd70d0085aaf262e8']; context = [[172, 218], [202, 264], [22, 71], [57, 114], [26, 80], [83, 140], [38, 97], [0, 53], [11, 72], [81, 130], [68, 120], [110, 168], [78, 142], [5, 69], [80, 143], [21, 79]]; loss = 0.023243 low_pass_filter = 0.300
+Epoch 0: | | 22809/? [3:36:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 22810; scene = ['36759e691725ce9c', 'd6625cb538e7f064', 'e952c4a90e3e9b1a', 'f3663bd0444d3f5e', 'ff68f1639ba712aa', '473b916dad00fc45', '5f599b35b87b30ab', '0c262b6bc566b453', '3dcc869dac9f202f', '843fe83814b8012d', 'e39c2ef3bbecc385', '7e435ecba3bcc6c9', 'f22b0491bc90af5b', 'e81c3eda0310ba4e', 'a9df52ac49e1dcbb', 'df11b2823a464dda']; context = [[8, 72], [3, 65], [1, 54], [15, 61], [13, 76], [125, 175], [71, 125], [114, 154], [131, 190], [179, 218], [1, 44], [0, 57], [5, 67], [89, 146], [18, 58], [1, 52]]; loss = 0.027992 low_pass_filter = 0.300
+Epoch 0: | | 22819/? [3:36:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 22820; scene = ['37f7b1641c315933', '09728c36d7caf6eb', 'b8ad1d63790b5941', '1deb23885f70a8ec', '970254d42af05e7d', '7c33974e393d64f4', 'a6e913cd15212b3b', '32f62cb29ae2faf2', 'ad869adf4a15dca3', '075920c1a2c6799c', '211f70fa0f48a957', 'df01e54b6ed8fad8', 'efdec51d6a4fb8cd', '0b91957d1516a431', '38b455cf1f68fbeb', 'e85cdca44c9d2128']; context = [[69, 116], [8, 69], [20, 65], [4, 46], [162, 211], [136, 173], [38, 83], [16, 65], [2, 47], [19, 62], [74, 111], [109, 166], [9, 64], [24, 87], [81, 122], [30, 86]]; loss = 0.031107 low_pass_filter = 0.300
+Epoch 0: | | 22829/? [3:36:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 22830; scene = ['fdcb3ea2a4ac0dfb', '866277971a76a6cc', 'e91c5ca70f486da3', 'ee6631faf6f3b9c6', 'a965dbff622934f3', '82c2b9c647d7210c', 'ac16e227bc0144d6', 'cc0e0ef9fb905d7c', '1c8f0e2c77d0d6ed', 'fe0501936e490d21', 'a84a41dd313166dd', '28cd601677611f69', 'a8ece41ea92c4340', 'b02fd64c2f3f25b0', 'abc5e19774a3490b', 'ec9b4508894b5084']; context = [[31, 71], [51, 92], [182, 221], [0, 54], [111, 171], [11, 75], [34, 77], [33, 73], [40, 78], [72, 122], [194, 250], [39, 86], [95, 156], [7, 52], [5, 60], [15, 63]]; loss = 0.024002 low_pass_filter = 0.300
+Epoch 0: | | 22839/? [3:36:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 22840; scene = ['f7dffb88e8919a7e', '0179a441837af0b9', 'db6ce23f93a9a0d3', '5994966dd0897ead', 'e24323b82d0671c2', 'e4fc6fa4bbd6efa1', 'c58d526cb2894a17', 'b11afc47f2feb21c', 'c05fd148d2da6d26', '73542beb07728c82', '72d7ff49071fa801', 'd2ad156576e078cc', 'c05a15168d4c3332', 'aa4938d7f2fd0a1d', '6bd24285280fac2f', '767a02e7d26e071f']; context = [[91, 155], [149, 187], [11, 57], [0, 60], [8, 64], [95, 155], [14, 68], [121, 181], [7, 67], [6, 45], [44, 83], [2, 50], [34, 79], [99, 153], [47, 89], [70, 111]]; loss = 0.028052 low_pass_filter = 0.300
+Epoch 0: | | 22849/? [3:36:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 22850; scene = ['044aef6ea72787b6', '98377a86faf72416', '27e52aabfbeab302', '955bddb48214275c', '6b7415674deeebbf', '457b960b904a9595', 'ad7dc6e721a37c89', '1d1e00281fad69e8', '427d49e96e58dc26', 'e9d74753ca5f50a5', 'fd63b19fb7bace40', 'a7e3532e7518fccd', '1f8a8b017c031400', '27d782023eb395e7', '50ea4e244743263c', '14d69bdfa0a25f61']; context = [[203, 244], [13, 53], [1, 39], [68, 106], [5, 55], [94, 132], [46, 104], [214, 263], [12, 67], [82, 133], [56, 110], [4, 51], [14, 58], [3, 42], [31, 89], [88, 147]]; loss = 0.081292 low_pass_filter = 0.300
+Epoch 0: | | 22859/? [3:37:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22860; scene = ['c6fa4ea03de099cc', 'bbdfd0941d4d279d', 'ad91b5890f8cd86f', '38c7cf7a3199eb56', 'ff909d460f2ea5a3', '6185798eba1315d0', '180cd3034985cc24', '1bffd601523a9e81', '55c031734f736a81', 'f2d10a77f8715e44', 'bb68cf147d5ffdd1', '137dd2f35cdf8566', '0c3be1d749038cbe', '739492ced872e597', '866ede3b6acca477', 'fa06a83e1bde691f']; context = [[88, 141], [14, 77], [23, 67], [15, 64], [6, 46], [20, 74], [217, 271], [18, 73], [62, 121], [42, 84], [74, 111], [50, 95], [173, 224], [4, 63], [31, 75], [9, 69]]; loss = 0.025500 low_pass_filter = 0.300
+Epoch 0: | | 22869/? [3:37:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 22870; scene = ['931bcc26be9e4a7b', '907cc3fa5b4f274e', 'c229a0862750cb9c', 'd0a239ccef3fbe57', '3b26d9c5685e51bd', 'e4346a99bfe62ebe', '7d8a6ad17acd0c91', 'bdd986887ecdc814', '03e4b28a0b73c205', '95a2f55495af7a79', '5d4377c186d48768', '4a3564ac24e69988', 'eba16e2c6d32ed27', 'dd7e8f13aef0b6f2', '0611f2d02bc065db', '91e33a6f46dce12d']; context = [[20, 59], [52, 102], [3, 66], [31, 74], [157, 194], [17, 81], [14, 56], [0, 38], [161, 218], [10, 69], [24, 75], [26, 74], [48, 102], [3, 50], [34, 89], [2, 62]]; loss = 0.035175 low_pass_filter = 0.300
+Epoch 0: | | 22879/? [3:37:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 22880; scene = ['bad89e3e5f29f28b', 'c7e9aa0570c51824', 'e80fccd03453b167', 'd4db0477e6a51b9f', 'd503531bb5319abd', '0e62273ed3ef91ee', 'fbdcf089b0890ae6', 'd83c1aaa89852410', '3fc4d99af68cedb3', 'cee4b55b538a7310', '178ca92e6939c0bc', '7f04e2db1a0194ef', '9c40bd34bf257a2f', '0e12847a03d29c75', '386946683ab3f8b6', 'f3ca83f9f1a724e5']; context = [[20, 81], [53, 94], [51, 97], [130, 183], [6, 51], [110, 173], [25, 83], [51, 108], [13, 65], [99, 160], [41, 98], [91, 129], [100, 154], [9, 63], [202, 261], [11, 49]]; loss = 0.028084 low_pass_filter = 0.300
+Epoch 0: | | 22889/? [3:37:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 22890; scene = ['72a9a4ad61faf344', '760a466066968de5', '314b4534587e8e91', '27b5502283386ee3', '49f642c0373c7e78', 'e598c6c4d23a5619', '4213a78b00a65962', '4dce6855bd78d472', 'bbd574fc81d02bf9', '73c5ddec7618bb6e', '463a721c706cb237', '4610410bd5d02055', 'e1c60a5e0b091d60', '5ef111428d2f1048', 'efcab7b049eeac51', '2193bc2693b02611']; context = [[18, 75], [148, 185], [27, 82], [0, 41], [38, 78], [16, 56], [31, 75], [34, 79], [209, 259], [138, 198], [102, 153], [57, 106], [1, 45], [124, 178], [7, 58], [4, 55]]; loss = 0.026174 low_pass_filter = 0.300
+Epoch 0: | | 22899/? [3:37:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 22900; scene = ['fef87f5dfaea4c45', 'ec183e6afc500071', 'c20985a3dcbc340f', '7a1e1fd94e551593', 'ce5c3a585536ecb9', 'a17c6e0bdafd1259', 'c82a25e9661c7240', '45a8384ceac2792e', 'b5404b10b83a1ee2', 'ed1c8a74fbfc95f9', '18d6c850158b4165', '45c8ebb934f7442e', '74376eb028a5ffb4', '411cd9753a82d34c', 'b2357ef2ca896bf7', 'c66f724401775077']; context = [[11, 50], [18, 61], [66, 117], [30, 70], [4, 45], [52, 104], [18, 62], [3, 43], [57, 117], [16, 70], [38, 98], [37, 84], [9, 61], [141, 201], [104, 149], [119, 160]]; loss = 0.025386 low_pass_filter = 0.300
+Epoch 0: | | 22909/? [3:37:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 22910; scene = ['01f44320dba08f92', '6d484dee4f0c6961', '5fc9e60c271b9a16', '2a6060b83b5b422d', '68276e0a2210a4c6', 'c88d7508d0194c57', 'ecbe588b1196e1de', '21c78c4ca6f54165', 'b7707f9169cfbfd7', 'c23f64688bd5832c', '439c55db530b8bf0', 'a5dbef04d6fa313e', '417db333638be420', '68c8db171dab75ea', '765c6be0dc971f03', '371a69a4c08f16c9']; context = [[30, 81], [83, 125], [80, 127], [175, 238], [130, 185], [16, 71], [25, 73], [14, 58], [25, 65], [0, 44], [85, 127], [33, 82], [6, 53], [34, 74], [78, 128], [93, 135]]; loss = 0.022002 low_pass_filter = 0.300
+Epoch 0: | | 22919/? [3:37:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 22920; scene = ['f2a36c990a7f6a70', '9f4a33a7e6fc9402', '0e4223f5ba3ed4fd', '12d1e2faa3e53d42', 'a44f6d4d66d81f20', '5670b72ad22f4e1f', '364aa2dfbd59b2e4', 'eeb862802412ab03', '5c3bb18e78698989', '6c9bceffa427a354', 'd269eebf84aefd4d', 'b211dbab7ed11c64', '3a4bab0a7c1e4a2a', 'cecb4f7e9d017104', '993cf79b2a2312ec', 'a841ed546586950a']; context = [[31, 80], [4, 50], [198, 247], [22, 74], [21, 73], [32, 85], [4, 44], [211, 249], [14, 56], [84, 130], [24, 80], [47, 91], [1, 40], [3, 66], [1, 50], [32, 80]]; loss = 0.030912 low_pass_filter = 0.300
+Epoch 0: | | 22929/? [3:37:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 22930; scene = ['1c392cc98b3a7642', '32a20b1e5eba48c4', '337fbf1d3c3e4ff3', '229581725830ce75', 'a559ed659c3d87e2', '2eff6336cc3bf657', '231fd0a735520713', '1b4e1193347b5cbd', 'a3d0cca9fb57fd85', 'fe469a7381a1276a', 'e4127b01ba04fbe1', 'dc7fd20dc87e9c9b', 'fe1b841e883993c6', 'a0fbe6aa2ebe6cc7', 'a7183ba62f34173a', 'f239832e46a934bb']; context = [[201, 252], [123, 174], [0, 56], [56, 101], [35, 96], [87, 124], [151, 205], [8, 65], [2, 65], [4, 61], [11, 74], [2, 39], [48, 90], [0, 59], [11, 63], [2, 61]]; loss = 0.030229 low_pass_filter = 0.300
+Epoch 0: | | 22939/? [3:37:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 22940; scene = ['2a24ab8cf430a3a4', '46ccf57517d4059b', 'ab01d8b7ffcd74aa', 'c097909e36b59ebe', 'fef9d317e71c3122', '3d5757e1469432d0', '6368bc9ee243f179', '701d3ad6c3a3857d', 'b3c8aa705110b627', '832dbfcfd876215a', 'bb83dfc9326dcece', '5dc77f428548ef6c', 'fac5759c72a2be53', '1fce54998c9f0d76', '3bc13f9fbceb68a1', 'f6170122b129f7bc']; context = [[31, 80], [49, 100], [25, 63], [5, 49], [2, 59], [124, 170], [145, 190], [59, 100], [16, 78], [13, 59], [123, 163], [5, 60], [26, 71], [17, 66], [1, 50], [21, 62]]; loss = 0.029562 low_pass_filter = 0.300
+Epoch 0: | | 22949/? [3:37:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 22950; scene = ['3f18826f333d106d', '1b4c8f4eec6b6036', 'be214e004bc8d513', '3315c801dd9c35ff', 'fddbc6d91c32a72b', 'bce98e8b68871207', '9f9250ed1d854f72', '0d49d0970586d7e0', 'a77f347b88137277', 'ca4826b99127d53e', 'b2cccedbbe313d14', '057da8262a5b4f36', 'bdd08755eb0975e0', 'a997c1ea8d8b3557', 'c0ee81f4dcfffeeb', 'ba63c9bf12e48a01']; context = [[21, 67], [4, 55], [72, 134], [49, 98], [112, 160], [0, 48], [124, 181], [7, 62], [40, 77], [34, 85], [57, 114], [65, 118], [35, 91], [153, 197], [195, 259], [1, 43]]; loss = 0.025998 low_pass_filter = 0.300
+Epoch 0: | | 22959/? [3:37:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 22960; scene = ['f64382ecda10da42', '959d906c7ef5fd13', '2b63c5c022a05285', '9b0b1203fa711a60', '9f764191ad5c1c52', '119044f24d36828f', '778db35244748422', '1a4ab2ce09e00b79', '859236e0cbc2f4a5', '68742c3ac6d511e5', '2f2297ad8904a1c1', 'f733d225ad2bb09a', 'f97b13a0875462d6', 'e56221b081fdab71', '39d54c24ef63c2cf', 'efdfaea6c8f67e42']; context = [[5, 61], [43, 101], [2, 52], [45, 107], [21, 73], [0, 39], [23, 66], [1, 40], [12, 71], [10, 55], [17, 66], [21, 70], [45, 107], [4, 67], [128, 188], [24, 70]]; loss = 0.029027 low_pass_filter = 0.300
+Epoch 0: | | 22969/? [3:38:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 22970; scene = ['0635a3619c622723', 'c31a1cb20a151f9f', '81bbe2b570208941', '395316b48209d942', '42f27dfdcce98b79', 'ca39c07d99a4404e', '2ea9e3568a4d120b', '5dbcbba490ec1696', '0aab3fc9799f3c71', '0b3a912a284f41db', '008ec1473e4ce029', '5a009a925d1f7941', '76c4b3b42006ca8b', '5cb09142190cc466', '8b52f71d3cc93f45', '646c6facc110227a']; context = [[34, 79], [62, 107], [45, 107], [0, 39], [3, 41], [2, 59], [36, 96], [77, 128], [15, 66], [22, 77], [34, 72], [199, 255], [41, 79], [10, 50], [15, 52], [21, 79]]; loss = 0.031494 low_pass_filter = 0.300
+Epoch 0: | | 22979/? [3:38:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 22980; scene = ['553ca05b958288cb', '3875459f2c397848', 'b7313e349b510acb', 'c08928bdf05b26e9', '1b9e0a1958f29f37', '8828f1cc452795aa', '9025a2c878c65e51', '2c829a056844b920', '24d33601b8e09152', '41e20f4874e70840', 'ab1a429034ca6dcd', 'da730944311546b9', '82951bcec467e8b9', '24b61a5f82f26bdf', '4d836c051f02de01', 'd842261ebd54ac6e']; context = [[6, 53], [119, 160], [40, 98], [114, 169], [68, 115], [81, 143], [18, 62], [16, 64], [44, 91], [0, 37], [0, 57], [12, 57], [135, 197], [18, 67], [15, 79], [56, 108]]; loss = 0.023118 low_pass_filter = 0.300
+Epoch 0: | | 22989/? [3:38:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 22990; scene = ['ca32984655a98eba', 'a1a0bcce8001f776', 'a3a29f751ab5536c', 'd1910994e205375f', 'b64f6fc16d34be37', '861fd42e408817bc', 'd7771ae79c3f26a6', 'c063a92c7a44b6a0', 'd862527a043561c9', 'bc5f4b5e37f71aec', 'f7b38b4801c35c54', 'f8448a1d0e098580', '50b06a884fcc14b4', 'fbc5036fb7f22807', '0b3c71b1a879326b', 'a6b152d906ff93cf']; context = [[8, 52], [148, 188], [97, 134], [0, 53], [87, 146], [71, 131], [17, 55], [68, 110], [17, 77], [0, 51], [19, 60], [164, 219], [21, 80], [5, 45], [99, 137], [41, 92]]; loss = 0.026339 low_pass_filter = 0.300
+Epoch 0: | | 22999/? [3:38:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 23000; scene = ['409fd2b33d0f048d', '48e4327984b07710', '3b7204cf5739a9c3', 'cb68d683bc8bdf94', '0d18b707a0cf79f5', 'cdb3ab8c4d3cc875', '15ca4fd4acca4454', 'df21531dc06b63e3', '7e13ee50ac165936', 'e82896a5cb57d42e', '39a77b613c2ae277', '154c7d81aa48f34d', '5cfa2c069a5e90bf', '5600f2eb6ac7dffa', '6053c1082310530b', 'b0991d21aa299896']; context = [[1, 58], [121, 175], [48, 107], [28, 65], [0, 37], [4, 46], [15, 76], [175, 221], [206, 250], [70, 111], [23, 64], [9, 56], [164, 207], [56, 108], [15, 69], [3, 49]]; loss = 0.027431 low_pass_filter = 0.300
+Epoch 0: | | 23000/? [3:38:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000validation step 23000; scene = ['7b1ff8281519a3b6']; context = [[15, 67]]
+Epoch 0: | | 23009/? [3:38:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 23010; scene = ['46bc953615be05fb', '9af914baadaade0a', '65f21b4e27c1e26c', '469365c17f61001a', '63be9c98ca2453d5', '6128a238af3743e4', '9a5a417c708dcd2d', 'ed10d336c38397e6', 'c50f58adfa650ab6', 'b1dabee1febd0442', '09e14846fbca0bde', '81637509e07d2f70', '185dd19a374374ee', '2ecfe92d63af8e8c', '02696502ea9fd95f', '98b704ffc9ad975b']; context = [[19, 83], [27, 84], [17, 55], [1, 65], [25, 89], [2, 54], [19, 83], [23, 78], [67, 117], [9, 49], [14, 57], [49, 90], [0, 48], [7, 58], [7, 70], [3, 46]]; loss = 0.025650 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 23019/? [3:38:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 23020; scene = ['4055b055606e283b', '15d0496b4ef33361', 'b5260341870c7aa0', 'ca2389f5e4fcfe61', '4bacf868d6095406', '8d6f84d1ca63da4e', '031b56a2e1e4bbbd', '5281a8fb06713250', '4360ac16047eba4b', '172bf6877630ca5c', '645a09d7d7670e8d', 'd24dd458d5427d7d', '47a6a231c819c5a2', '3122465597e9f593', '466a81cd2b82849a', 'a62ed7edac42b08f']; context = [[14, 55], [28, 72], [124, 176], [70, 129], [2, 65], [16, 72], [12, 76], [53, 104], [45, 89], [7, 53], [215, 266], [53, 111], [110, 172], [25, 72], [104, 158], [88, 136]]; loss = 0.024230 low_pass_filter = 0.300
+Epoch 0: | | 23029/? [3:38:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 23030; scene = ['66ff41cea8340d76', 'bd4fcd098e3b2bfe', '32a3dc431068bef9', '3ad5f6586ea64736', '68adfaa6a96e15d9', 'a56f0d62418193a5', '423716b02f72a648', '794edeedc5c02c51', '7df06034f65de997', '2dfa7cf25db7aa64', '0ee7e810d79b3a9d', '1201a08ff8429b5c', 'd4ae811346614131', '9c0d1421ac23aac5', 'eac342d936e459d0', '1413db38e3f70b4e']; context = [[34, 74], [73, 120], [113, 152], [61, 112], [33, 74], [133, 184], [105, 143], [7, 46], [27, 83], [61, 114], [198, 256], [205, 262], [75, 134], [28, 72], [30, 71], [58, 118]]; loss = 0.026457 low_pass_filter = 0.300
+Epoch 0: | | 23039/? [3:38:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 23040; scene = ['7d28d9be17cc753e', '521f8d6c129a7932', 'c8547c77ba402e10', 'c40d15d6fffefbc7', 'fe759d52e38b706b', 'ade30db949097860', 'cdf984f86c84834a', 'c819caafc76c9cfc', 'c4daef951d450aef', '292b3b21ca24a79d', '50a652406775f17b', '9deddb62800639d8', '7a68894ff54c6cf7', 'cacc3b4e30cf8a9c', 'dad2645e3acc1168', '32e250e3ac90c53b']; context = [[6, 52], [10, 61], [53, 114], [111, 159], [12, 56], [75, 117], [1, 65], [1, 45], [132, 196], [0, 57], [139, 199], [37, 84], [22, 74], [196, 257], [91, 143], [22, 72]]; loss = 0.029741 low_pass_filter = 0.300
+Epoch 0: | | 23049/? [3:38:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 23050; scene = ['1d81f59588ab98f5', '8c67d77a1f9a6b14', 'd1b9a1b70474466f', 'b370b579bf5e3c23', '7039734be2f00317', '2e770da39beca629', 'd0a703be7fbaa9db', '5f0a8cfefdaaedcc', '25714926505648a8', '44d3592b6d997c07', '6334eb2a180fb8b5', 'b26be48a0dd1a901', '743ec6cf3ab79c26', 'fb2119204043e502', 'ccc88847b881770a', 'a5fa77b4707f4bad']; context = [[36, 99], [34, 73], [2, 65], [0, 38], [28, 89], [127, 168], [12, 69], [126, 185], [54, 97], [97, 136], [7, 58], [27, 80], [119, 161], [113, 153], [14, 60], [75, 123]]; loss = 0.028461 low_pass_filter = 0.300
+Epoch 0: | | 23059/? [3:38:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 23060; scene = ['726f0a3790509b48', 'a34da6e33030e973', 'c0e8cd79f73611d6', '55706f538594e6cd', '8db9ff38e05c3ffa', '95e0a2399dbc6008', '610e089703fbf242', '7808917f0ae566fe', '8be1d279b9a576fa', '880ce15f4c5534f5', '982b49d62fce9a8b', '11f312ad09ee6d28', 'f20d239e72115520', 'c236a71b90766557', '8d8bc81314ee7d5c', '2536108e699d5da7']; context = [[61, 122], [26, 88], [34, 84], [59, 112], [35, 88], [45, 97], [88, 149], [51, 92], [76, 128], [172, 220], [55, 110], [61, 106], [4, 47], [28, 90], [29, 80], [45, 98]]; loss = 0.032262 low_pass_filter = 0.300
+Epoch 0: | | 23069/? [3:39:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 23070; scene = ['2265940253865c97', '672ca946adb2b946', 'bde13a97348df4aa', '5045a1d0f49b19a0', '2b93c95f7163e0c2', 'f5469b8da26b732f', 'f62a962df5c26a1a', '1c8d12c5b0bc707d', '2054cdda3bb0e2fa', '718a14926e4ab38b', '663a8a7582d050fe', 'c6c62fcc26699f1c', 'bace6aaf91d1dca4', 'ffae0c358d55ccd6', '166f9c05d54a10f8', '5975e2b2db5bc608']; context = [[56, 114], [0, 52], [10, 56], [20, 74], [68, 130], [7, 70], [9, 57], [0, 43], [149, 201], [14, 78], [53, 95], [13, 69], [44, 81], [6, 44], [0, 37], [2, 39]]; loss = 0.027060 low_pass_filter = 0.300
+Epoch 0: | | 23079/? [3:39:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 23080; scene = ['863150365b96d490', '1ff9ce1364d2efb1', '43b7abf89a494856', 'a9a48de4023eeb04', '64b678d5084f9868', '1f4505aceb623cad', '3fd7cdb6f823bb9c', '435662fd057e76a3', '209dadd5726fd0eb', '4734e02082441a9e', 'd0ec88df750371c1', '8d64e74fe905ad2e', '8266cb4dd06d753a', 'b4a0e7d971e39e2e', '7b794ebebffe09f6', '34dd90f74228f1ce']; context = [[5, 61], [37, 94], [43, 88], [40, 104], [0, 42], [7, 65], [9, 60], [26, 73], [35, 75], [66, 103], [192, 237], [2, 50], [21, 65], [110, 154], [53, 107], [0, 37]]; loss = 0.024820 low_pass_filter = 0.300
+Epoch 0: | | 23089/? [3:39:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 23090; scene = ['6f61d916513afe2c', '04d184f9c745910a', 'ccd9f68bb34bbff4', '193b94e9f655def6', '68d9927e6218be67', 'e5aeb6cc73e1ef60', '201e14c1395bb7e7', '604629605df53513', '5dc337c78c9c2f4e', 'b69975c3fd6c9bf6', 'aa2c714ead9d4071', 'e2f3157c10aa655b', '4b1ace7056c3ef7c', '1df539eeac09987f', '5357eb29cb81b3fa', '61fa76215dfcaaa6']; context = [[85, 142], [69, 124], [175, 229], [3, 64], [81, 124], [10, 47], [19, 73], [67, 123], [6, 57], [43, 94], [30, 92], [67, 114], [40, 93], [51, 100], [20, 58], [74, 122]]; loss = 0.025273 low_pass_filter = 0.300
+Epoch 0: | | 23099/? [3:39:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 23100; scene = ['aacccbcbc0722240', 'eb61796d301ac994', '1b98355278b3ca52', '28bb7b161e83ed60', '4fce6c47c4c214d6', '1c697e1b376ee31e', '98b8e9f58887b2c8', 'e1d6178ea1fe6d44', '1008647325f7f5b5', '1213665a8be72518', 'f3d31f34aec130c8', '0404b811068d9c22', '1c4245944a44dcb5', '9d80c1f7f8a6c541', '73d02b88114f918a', 'a4af5e3b9ffa8726']; context = [[51, 97], [41, 88], [14, 69], [30, 87], [32, 87], [39, 88], [47, 87], [13, 58], [8, 56], [5, 48], [75, 119], [23, 73], [89, 133], [114, 151], [54, 105], [6, 54]]; loss = 0.028941 low_pass_filter = 0.300
+Epoch 0: | | 23109/? [3:39:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 23110; scene = ['eb8f2b118bd13900', '93596e1cfdad25b8', '94fd1b7d39c254a3', 'efeaa466d6d414c7', 'b3c43704ee2efd4f', '4d6d1fa8e570dced', '1c0c6085ace8b5ac', '3be8c5ae6c95c9b4', '11a50f1b50fcb1e3', 'a1687c09273c771d', '8e6471db97ef4a0e', 'aed0866b978534ce', 'd28a2455cc34badb', '90702eeb91bbddd0', 'f8e45b89d92fde53', 'bfdeccd02efa13d8']; context = [[25, 82], [109, 162], [69, 124], [62, 109], [37, 92], [5, 54], [61, 115], [52, 109], [33, 91], [58, 102], [109, 160], [11, 63], [54, 103], [40, 98], [3, 52], [129, 167]]; loss = 0.034719 low_pass_filter = 0.300
+Epoch 0: | | 23119/? [3:39:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 23120; scene = ['39c33991bfff3e83', '08a75a450ebd71fe', 'c4e0a84e7e269d3d', '87732cfa339b6202', '3815cba3f4385bc6', 'a91d501f33a28dc7', '337dc31602bf2187', 'af4763770bda7625', '1adc869076b62522', '277808ef17892255', '7b1c88b4328c29f8', 'e48218dcf5a6fcb4', '73c2ef569a3b523a', 'b409b939c42031e5', 'b0ef58c6b07982ce', 'b1b3db39f2a90eb2']; context = [[46, 111], [26, 68], [56, 100], [1, 64], [9, 58], [30, 82], [19, 71], [0, 54], [116, 166], [34, 96], [4, 49], [120, 185], [16, 68], [35, 89], [132, 177], [26, 81]]; loss = 0.030661 low_pass_filter = 0.300
+Epoch 0: | | 23129/? [3:39:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 23130; scene = ['6bc817f3c0390bc3', 'b04a2c353213cab2', '3256408a8d621dbe', 'ef429574a626218a', '760d19b34b29e803', 'a7cd55db44b041f9', '9bf3c74bfd34a2cf', 'fc80bd93e17d88ef', 'e25ac0781026a846', '58e2b9657cdccb2d', 'e4b5d724ca5a3ad4', '406b4a3292eccd0c', '77c62a956f8cdd9c', '572f32e265ac87b9', '7def78248910be07', 'bc54192b89ee8018']; context = [[4, 63], [5, 59], [61, 104], [4, 68], [31, 78], [1, 42], [37, 93], [8, 73], [29, 67], [75, 129], [25, 71], [6, 57], [1, 42], [30, 90], [80, 144], [24, 88]]; loss = 0.031860 low_pass_filter = 0.300
+Epoch 0: | | 23139/? [3:39:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 23140; scene = ['a3fc4bb219200eba', 'dc17a6a8584311bc', '91995cefc8e62e40', '2400829229f41b99', 'ba696be52c8963ad', '5b7ac0707d715641', '048a072d80637ced', '26ab4bd8802e0b3b', 'a3e68f2a6b87063c', '07a9a32c46e67df3', 'f7d839262e5cc647', '84dd6be769a13042', '90da26a5b04b69ed', 'd9ff7a8b9114dbcd', '280d6636eae33dd3', '93598ff73741eb47']; context = [[0, 59], [112, 163], [186, 241], [12, 65], [26, 87], [37, 81], [16, 70], [41, 92], [36, 101], [0, 37], [51, 105], [49, 87], [8, 73], [0, 43], [76, 136], [28, 87]]; loss = 0.027591 low_pass_filter = 0.300
+Epoch 0: | | 23149/? [3:39:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 23150; scene = ['42a2a2c546bb8d24', '5c4fb0add49cbd58', '3bf31ebdeb63cc76', '6fa353a8d73efcd9', '3e44b0211bff141f', '165a82d668cbdf2f', 'd2f557eafe8a2d12', '3bbd78ba78e45acf', '4f904d8b36a45943', '51d7fab7ae0c2302', 'be3401ce13a4180a', '31798bae7e83522a', '4908aac28b307cd9', '5f200e3e880b2225', '1e34da8488eaf819', 'a295c966b22883f7']; context = [[54, 103], [6, 64], [12, 63], [0, 38], [37, 102], [3, 68], [70, 109], [8, 73], [14, 63], [28, 75], [77, 130], [152, 194], [48, 89], [3, 61], [83, 130], [109, 151]]; loss = 0.026642 low_pass_filter = 0.300
+Epoch 0: | | 23159/? [3:39:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 23160; scene = ['db6af3fa70500a44', '88afe2f77a163f98', 'f74e257110aba96d', '16149ec14b18ca2b', '1c90cb2d24fd41fc', '09874eb1884f53de', '7d7eed77289fb947', '17bece5cfebc3428', 'db661815480bb340', '475c74936027f242', 'd74d97ede645d0e9', '42c3e35803878175', '1b5e1ad1d9c9e3c9', 'd02fee3a4d2fc50c', '9ff35d834d3535bd', '659413092374c91d']; context = [[14, 54], [33, 79], [55, 95], [211, 275], [19, 73], [155, 200], [2, 60], [60, 99], [86, 132], [3, 42], [35, 72], [60, 112], [14, 69], [130, 190], [2, 43], [1, 59]]; loss = 0.025832 low_pass_filter = 0.300
+Epoch 0: | | 23169/? [3:39:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 23170; scene = ['0e2a7276966e584d', 'f798bf110e50ae05', '35158f6e65bf766d', '084a1a3fac0ab7c3', 'bbb8483976a16ac6', '9afdb3b4bad232a4', 'b0189789fe6bc9c2', '4cbfaa52325775ab', '99ea5cb9b803daca', '71d8d0a848667302', 'fac20ccda46a7de9', '814b717a61c0f68a', 'c0b86b59d18f6879', 'cdf58ec9c7e4a601', '2ac9ab25f56721ef', '0882ca13b9d93357']; context = [[42, 105], [92, 149], [217, 274], [131, 195], [1, 50], [108, 154], [14, 65], [58, 106], [56, 114], [80, 119], [76, 120], [16, 68], [96, 148], [48, 92], [67, 129], [29, 71]]; loss = 0.026408 low_pass_filter = 0.300
+Epoch 0: | | 23179/? [3:40:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 23180; scene = ['76810a4a9a8a5881', '6644381edb8a743d', '8da4bcb68f4b2ad2', '8b135d931be60e96', '4fa36bb201c663fe', 'd28e51f7abc39fa8', '9d0a4fd3ccf87bec', '08bb716811ad5ecd', 'a487942818768a7c', '8c28c08ae1073c93', 'd0b182fc6f8eee19', '7c1d3a1a543cafec', 'e35efbb0c598de5c', '414ad220fceb324d', '6400e0008fe087f5', 'dd8936d3dfe2e92f']; context = [[115, 169], [3, 42], [6, 60], [5, 55], [158, 198], [24, 67], [28, 77], [234, 272], [120, 162], [107, 144], [0, 62], [95, 136], [8, 51], [39, 90], [75, 125], [2, 42]]; loss = 0.054733 low_pass_filter = 0.300
+Epoch 0: | | 23189/? [3:40:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 23190; scene = ['849bb6781ce6dd59', '6f6b3630c1daf8bc', 'db085f4da5bb3a11', '1d08d09515970972', 'c1fec197b3a59315', 'abffceaf0098faa8', '853afb68eecbe04d', '77d9893ba17a1330', '71d24f4e70b1596e', '1a251dc2dac5cd26', '6454334af1aaabd9', 'c3b82a52e6317dcc', '0ca219e558a9ced6', 'cd758d9a770e3004', '0d6296f944a5527f', '0d769b8f95716ff4']; context = [[2, 52], [7, 60], [3, 58], [8, 63], [1, 38], [3, 51], [21, 64], [62, 112], [152, 210], [1, 62], [90, 140], [20, 85], [21, 60], [1, 43], [2, 54], [11, 60]]; loss = 0.022562 low_pass_filter = 0.300
+Epoch 0: | | 23199/? [3:40:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 23200; scene = ['deace859a58d2b95', '2a738a49db16bea7', '3daf1eabf19c93ec', 'a64972f2ce3ab93c', '27227056e078032b', '5ab460913e459419', '0bfdec70b0e4848b', '660049329792fb5a', '0eb9e454131b34eb', 'b775a9a9bf4414f3', '9e1e0c91770bd262', '9dfd3bbd48348c20', '106a576f0475f716', '82c4c3cc8badb053', '999e445bd69b8a33', '6635166741b9774a']; context = [[1, 39], [3, 54], [12, 61], [79, 142], [44, 105], [91, 151], [2, 42], [2, 43], [21, 81], [16, 60], [1, 62], [70, 108], [119, 168], [1, 38], [114, 158], [158, 202]]; loss = 0.026664 low_pass_filter = 0.300
+Epoch 0: | | 23209/? [3:40:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 23210; scene = ['f0f96bb7ac3ec738', 'f73e525030617d22', '3afb5d28d32fe31b', '481eaa0e0208530c', '9fea16da5934281d', 'e18573d92ab9ebf6', '48252a4b54c04894', '7665f3aca38b0220', '70b657330ca11de8', '210a554ba8d9cd87', '4ea42f87aebcb998', '5635970d790ef23e', '8d0a735a877f6368', 'f5b22f85a5ab4806', '50ee87260cc88f0e', '7f50766e4ef0d24a']; context = [[29, 79], [3, 45], [3, 65], [12, 63], [122, 181], [161, 215], [17, 80], [20, 70], [15, 79], [5, 43], [19, 80], [105, 145], [16, 75], [6, 46], [48, 108], [15, 52]]; loss = 0.024906 low_pass_filter = 0.300
+Epoch 0: | | 23219/? [3:40:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 23220; scene = ['0ae6dfceec6e70ce', '1265b84659f7b698', '671fa86ae5c0029b', '614bea87443c8233', '112744002d2b3a37', '4ca702261e0aa0fb', '8fd66059741a9dec', '852e5a7dff785556', 'ce1dcc286572c12a', 'bf3d2b28685327a4', '4d48be6420bc5e40', '5877db77d7294c97', '0b5ff448f7853d84', '43d97e84680e64f1', '1fef926907307c31', 'c8dd5c6396f67bf9']; context = [[5, 51], [51, 103], [69, 110], [10, 74], [1, 41], [8, 60], [76, 139], [214, 273], [16, 76], [7, 69], [50, 112], [1, 42], [51, 88], [219, 278], [2, 44], [20, 73]]; loss = 0.025479 low_pass_filter = 0.300
+Epoch 0: | | 23229/? [3:40:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 23230; scene = ['af6d66e39934570d', '976cdb75e3f78c9b', 'b4ffacdfb98be7ce', '1dc2ebcd887c71e6', 'b5acc7b273a8b91d', '00e3a0aea2fcdff6', '3be7d7aca547bc9c', '241995896e6747bd', '005758861029cf83', '9fa0ffd6f3c3c219', 'f8df6b5b731213be', 'f6c2ec175de3468d', '912d4cd827238ee3', 'edb0f2f1872ff393', '109d95d5de8c2056', 'dd4916f348c17aa0']; context = [[3, 53], [117, 154], [0, 52], [12, 74], [25, 64], [15, 53], [130, 172], [32, 86], [64, 101], [6, 58], [115, 160], [34, 87], [1, 53], [13, 74], [34, 90], [0, 39]]; loss = 0.037316 low_pass_filter = 0.300
+Epoch 0: | | 23239/? [3:40:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 23240; scene = ['d8563131cb9d153d', 'b5237e6b6780cd09', '7675274ae392957c', '71791474009b1187', '5a32c690eedfa60e', '3e0aff49cbabd07a', 'f3dcced9d38fa6c1', '4b6823a1112b87ff', '8d07885c4025b4af', 'abd71f81b292d209', 'd3689d2f8bd82d10', '5f3e924963ab36c4', '48d50fa60bf26802', 'd9da7b0337345d3b', '8bc37f0e5297a486', '6e39991f48d99673']; context = [[12, 62], [8, 72], [22, 80], [1, 40], [63, 116], [16, 60], [10, 68], [42, 104], [96, 149], [9, 51], [2, 39], [3, 42], [26, 68], [100, 164], [193, 249], [122, 165]]; loss = 0.026796 low_pass_filter = 0.300
+Epoch 0: | | 23249/? [3:40:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 23250; scene = ['5e78af90c3e5d57a', '6f0f0133f8cd5eaf', '6e4f4a49ea0e6a3a', 'f299ba5cdef8e35f', 'd96f4644b2bc561a', 'e91ad187bebc2b26', 'bba36936dcdaf4c7', '1987e5287cf07ea9', '5f61074b8462150c', 'f76feb4610bb70a5', 'e7a85a4315af4cc1', '957a51e4ffa1a8fb', 'e0686e6326f8c08f', 'ab42a131df988c32', 'ba5e5fb5abf3ed66', '11cd107f829eeb46']; context = [[22, 65], [6, 68], [0, 40], [4, 48], [39, 84], [29, 93], [132, 177], [3, 43], [97, 155], [71, 122], [182, 227], [133, 174], [82, 122], [17, 82], [34, 85], [18, 56]]; loss = 0.026155 low_pass_filter = 0.300
+Epoch 0: | | 23259/? [3:40:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 23260; scene = ['847e971064ea8f32', '523bfe6ab10baf4b', '88d7f43eec1eb9dd', '7815a0c0228b211e', '89fd30333a66d781', '944bcc2f8a199c68', 'f44605ccfe673d4c', '2c6fc82128274bd2', '8cb4470c0c7f0985', '35e49450766e4a76', '243a2a73f63d8030', '61181f74c27e63f9', '7057134a8223acb2', '0c078986e514e489', '6f22d394be3ac612', 'd7f47882099f78d9']; context = [[4, 69], [23, 65], [1, 39], [118, 160], [66, 129], [38, 89], [12, 58], [4, 63], [35, 72], [57, 121], [66, 129], [4, 49], [13, 67], [65, 117], [0, 50], [11, 50]]; loss = 0.028009 low_pass_filter = 0.300
+Epoch 0: | | 23269/? [3:40:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 23270; scene = ['c0d38d3d85f3587f', 'd313beae64da1921', '92e2dabb88e7dd3a', 'c10891ad7ea54ec5', 'edcaffd1682e71b5', '3dba3a2d55a5fee7', '40ad9f0aa3879308', '164bcba551f4c2eb', 'cb2a9c3de4c5c411', 'e7061b51397d5257', '71ee360b52170939', '5de5a2de423e339e', 'f666844989675472', '065e83ef77dc057e', '9ac3336c0601d0c8', 'fe1f82f2988800c4']; context = [[27, 90], [1, 43], [60, 118], [23, 70], [42, 93], [8, 49], [17, 66], [25, 63], [18, 58], [40, 80], [205, 256], [6, 43], [144, 196], [28, 91], [146, 197], [6, 54]]; loss = 0.028838 low_pass_filter = 0.300
+Epoch 0: | | 23279/? [3:40:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 23280; scene = ['4798943ef0cd4af2', '20a7799abd66e4b6', '6df10a21f6199b47', 'd8b09b24377b1425', '9e544dabc36a0ab8', '1d152df28d3ab39e', '0e9a747769b52c1d', 'd85fc004f78d82fa', 'fb80184b2024a29e', '191c72150925a58d', '99f1c2a83be00a5d', 'cfe86f4d4e636359', 'd41d914f1dfffb80', 'b3befd39ed25cec4', '400caa0619a990a4', '47cd9a752d3fb63f']; context = [[88, 126], [4, 53], [37, 81], [50, 102], [18, 67], [63, 103], [30, 80], [2, 41], [72, 131], [5, 52], [23, 68], [48, 107], [43, 89], [69, 114], [54, 115], [96, 141]]; loss = 0.025573 low_pass_filter = 0.300
+Epoch 0: | | 23289/? [3:41:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 23290; scene = ['e520f0d8cd4572cf', 'b6bd3a469307c0dc', 'e505cd420cb3a0c0', '75196bdec738648f', '9348c6f9d6ad46fa', '64099cb5702f6baf', '360ed1677f1ae4fb', 'aa35c34f6959d1fc', 'a0db5c89cb97f1b7', '21542ec974f794a5', '3462bb5ea3a6722f', '9be4f7f194641876', '22ad4d6b24d8eb3e', 'fd76831770670610', '16550b4843bda7c9', '0f72af29e689aa51']; context = [[3, 40], [51, 110], [199, 246], [0, 38], [8, 46], [11, 69], [2, 64], [165, 213], [14, 58], [0, 46], [153, 194], [63, 127], [22, 73], [4, 64], [13, 64], [0, 46]]; loss = 0.028475 low_pass_filter = 0.300
+Epoch 0: | | 23299/? [3:41:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 23300; scene = ['21810cdd510b3446', '7a6718d2b81f0f64', 'e69e5f4ed16dece5', '4fd849e3dcbb6a13', 'f01e99ab810e4019', '52ebb1e5244c98f8', 'c3f2f8a62aa92419', '0b8494a5c91c18a9', '5435e53721106caa', 'b8c66dab70ecc10c', '998b6467b6301a33', '7e7f5feb008dd9fb', '3f158594cbb7a77b', 'a40667b9b3b2beb3', 'a8cbaa3a2cf23f3b', '07d4ca1dbb7321fa']; context = [[20, 72], [0, 40], [89, 128], [48, 106], [64, 110], [43, 107], [20, 71], [8, 61], [124, 165], [10, 57], [2, 58], [25, 63], [43, 95], [12, 61], [12, 72], [4, 44]]; loss = 0.034289 low_pass_filter = 0.300
+Epoch 0: | | 23309/? [3:41:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 23310; scene = ['bcbd3ed453c1d5c5', 'c46cc0b22cf0e2df', '8291ffa5d473ed6b', 'e8f40e73fd9848f3', 'c3ed8d0890eca234', 'ac5ffad34ede2b27', 'aa85f1d551661c8c', 'e7cb8f00fca8b54f', '2636a68b00cbb8dc', '14cfc11be2d81617', '03ca963d98ce5eb4', '2098543766877f2c', 'e71374d746eca58d', '0c8d65b305f7dec7', '554de88b345618cf', '4ef9ea41d2491db2']; context = [[31, 85], [25, 75], [178, 215], [66, 111], [32, 91], [24, 84], [103, 156], [56, 107], [7, 60], [44, 89], [109, 153], [59, 108], [24, 79], [13, 50], [70, 128], [4, 52]]; loss = 0.027422 low_pass_filter = 0.300
+Epoch 0: | | 23319/? [3:41:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 23320; scene = ['8cee9991d18c1f9b', '7d25a46eba7a6f2b', 'ce83b2cb583c5746', '1d09d68c42cd89c7', 'e6acd6116662f723', '61b47f4bc7d7d615', '4766a59534d8c3fa', 'a933dd5b3cc0619a', '51cd6076ede052db', '5a5fbc148348f33c', '8d04b4ad182fd80b', '161dae1b062279f8', '07ff09ea4dfd63ce', 'bf823878e0d74fc9', 'd09b82c6b4496a66', '99ce731cb66281b7']; context = [[39, 87], [51, 106], [18, 63], [18, 74], [11, 62], [123, 172], [36, 88], [158, 222], [7, 56], [62, 125], [7, 71], [164, 220], [49, 102], [26, 82], [38, 81], [30, 93]]; loss = 0.025327 low_pass_filter = 0.300
+Epoch 0: | | 23329/? [3:41:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 23330; scene = ['a444a7437f926143', '242d6d1663e92775', '5fcb79cdf2edd14d', '322083b9a4670c0e', 'd7e57fa8efeab0f4', '4c48ee1906d98759', '2b22adb0f3e6fe45', '2ea429d644e38f65', '03af818d3239f255', 'f5471975e1f7a3da', '4b374b06ce7baaed', '72b7cfc5c04ba073', '30de28493bbbcd31', '511f289d8a770c6e', 'ba487bd4664b625c', 'aec0147e1835cc70']; context = [[5, 61], [137, 196], [27, 80], [61, 113], [1, 58], [0, 37], [124, 186], [4, 46], [189, 237], [1, 46], [11, 53], [134, 184], [138, 197], [27, 91], [1, 64], [0, 38]]; loss = 0.033858 low_pass_filter = 0.300
+Epoch 0: | | 23339/? [3:41:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 23340; scene = ['96f428c26a493886', '6297d2e2430c2951', '245007bd10b2a438', 'e9eecd2f4af1e41a', 'e0540e2d6160e242', '78718ab636cea9a2', '92095761993aafea', 'e64f7803e7ad44f5', 'd8c6ae0c604d9622', '4064d154767da583', 'f5778a3b1ed4f412', '18514db20990ca5a', 'a8c2deda7fac85b8', '4bcd11d183d71da9', '38d69e165f128786', '4dc48b004403f622']; context = [[3, 53], [194, 235], [12, 77], [171, 227], [14, 64], [5, 48], [25, 88], [18, 68], [1, 55], [17, 75], [135, 188], [210, 272], [158, 216], [5, 46], [94, 159], [31, 68]]; loss = 0.029143 low_pass_filter = 0.300
+Epoch 0: | | 23349/? [3:41:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 23350; scene = ['e160faecc21bd431', 'e2f8593ab819939c', 'db94d811017ceff9', '82065e7ce51acd3a', 'a17ad78f3de1747f', '07b91d8606616953', '6e65795a976312b7', '346c571507de5452', '9d5d32f2e63f94a6', 'cbb133671b625ca2', '4d65c764fda63e65', '4d850750a62bd77d', 'ede431bc93326650', 'dd5bde1ccda76492', '3093cfc489c8cd2f', '224c90a016589fec']; context = [[92, 139], [3, 64], [2, 58], [41, 78], [0, 54], [0, 54], [71, 108], [25, 80], [1, 49], [154, 216], [21, 85], [105, 163], [36, 73], [76, 117], [122, 166], [41, 84]]; loss = 0.027913 low_pass_filter = 0.300
+Epoch 0: | | 23359/? [3:41:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 23360; scene = ['0d089a7777ef9331', '1b6f492332735a7d', '02117ff3b3d4530b', '91245106e17ab7d8', 'cd9a2a66101702dd', 'd4bd67622f4d47ad', '4bd505299fae2fbe', 'f788136c098c2df1', '701b6f6bd99f0c0f', 'a8c50decb758680d', '11c2ad3eea536668', '025a7ee48054a98c', 'b751e63c5d0ceafb', '5fae9c21ebf04523', 'f0ce42e2f9ea8b48', '975e659085713da1']; context = [[2, 66], [104, 163], [18, 74], [25, 67], [13, 75], [31, 72], [22, 61], [11, 63], [199, 248], [135, 175], [31, 70], [2, 42], [35, 96], [49, 89], [107, 162], [228, 267]]; loss = 0.025590 low_pass_filter = 0.300
+Epoch 0: | | 23369/? [3:41:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 23370; scene = ['2ce0b28922029595', 'a18b5e5cff3d2ed7', '84a677850a497c1b', '203a0f1b9d11a60d', 'fa465f3c4ff91646', 'c71a3f7b89568081', '2cae9357db942907', '8a982e13ab083f88', '594fbed6ddcf5d76', 'c81d4754f0698b08', 'f4f25a0c7f0a7678', '6ac14f7de01b3021', '644baf494fab7ff7', 'fbfb9866efe5bf64', 'd81f183e644ae7fe', 'dca4d9700ae80a91']; context = [[52, 101], [68, 120], [15, 57], [17, 73], [76, 122], [65, 107], [20, 67], [31, 71], [16, 61], [8, 65], [22, 62], [8, 46], [2, 64], [39, 94], [1, 38], [46, 83]]; loss = 0.025688 low_pass_filter = 0.300
+Epoch 0: | | 23379/? [3:41:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 23380; scene = ['e8f23f5065972ddb', '959d7c0bd7c04b24', '97535c54a3152d44', 'eb8cf09366261059', '5902666d915570b0', '89a9e39e205dcdf5', 'dff4d6192ffd1042', '0d2286f126b83312', 'ea194405414b27e5', 'bc9ed05d37d20268', '547dec9fc8a486aa', '82853cb679bdc466', '737f19eb418ef107', '563209f8f6fa0856', '50321b969aeed936', '9757e5d3f5898474']; context = [[46, 100], [9, 48], [15, 66], [206, 254], [7, 72], [49, 91], [24, 65], [66, 112], [127, 181], [8, 73], [76, 137], [8, 73], [5, 56], [11, 52], [2, 47], [170, 210]]; loss = 0.025344 low_pass_filter = 0.300
+Epoch 0: | | 23389/? [3:41:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 23390; scene = ['8c9c9fd339183118', '755f4a06377d1633', '5c6254d344551863', '00bbf676b3378549', '5b32aa8371edec0f', '8aac6e58ac48fd15', 'd63314ee9d11a5fe', 'd3395f68f3233b97', '5354b259bb11a731', 'b42870de310cce44', '937f8e3d9793a726', '12911b4f97d706b0', '9bd0682ba6f3ea5f', 'd9e0fc931a94def3', '62e480eda89b85f4', '65444d8a8606b7f3']; context = [[24, 85], [11, 57], [18, 83], [5, 62], [6, 70], [13, 64], [30, 85], [18, 66], [184, 241], [6, 67], [9, 46], [21, 79], [83, 123], [31, 73], [7, 54], [57, 106]]; loss = 0.030139 low_pass_filter = 0.300
+Epoch 0: | | 23399/? [3:42:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 23400; scene = ['ccc8bc2c0a1afe2b', 'aa15562d0b9fc205', '46fdcfb57e885cf7', 'eba4cc5c26d8e9bb', '0b77e5de7ce53307', '4b8efa3bc5da9935', 'e074b60eb41d2f87', '78f7b900deceed5f', 'c575d310027813f0', '90827de57d11dfbc', 'a3b40a2b4d814ce4', '04414b8a41fd221b', 'df6f4c2bb1a33680', 'c61b17c9269901b5', 'c97e8fc87ec7a723', '466f49a7cc7a9e48']; context = [[9, 66], [74, 130], [11, 70], [15, 65], [31, 73], [44, 108], [1, 51], [58, 99], [59, 101], [146, 205], [24, 78], [49, 93], [4, 60], [0, 56], [139, 196], [112, 170]]; loss = 0.029518 low_pass_filter = 0.300
+Epoch 0: | | 23409/? [3:42:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 23410; scene = ['445634d65b9394fb', '8e95236d29403f90', '3f67255226893958', '26dd5a371da578b2', '01adadff46865ec2', 'b77fab4ece94942f', '38b363e3d000f037', 'c26cbf75018b9deb', '1997a21f798ca9e3', '6959505fc3548caa', 'adf613ef8a2abd2c', '3d4b0ee5fcfc3045', '1890ff1ddc9ba18a', 'b0d9894841315ac1', '7f2e1fb8a23a36f1', '01d7bb5fec91c594']; context = [[3, 44], [7, 60], [77, 114], [30, 70], [163, 221], [21, 70], [29, 92], [72, 118], [83, 148], [31, 72], [19, 73], [208, 254], [61, 117], [31, 91], [21, 77], [27, 88]]; loss = 0.026606 low_pass_filter = 0.300
+Epoch 0: | | 23419/? [3:42:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 23420; scene = ['60680008495d87a1', 'b212a26fcbd831b1', '124e818bc6629165', 'cb737f7107cee760', 'b6e89f7809809f76', '9054ce433694ecb3', '3a89f41e5980d3f8', 'd351ba344c572b7c', 'c2c54fc36968cda8', '979258bec9c70a3a', 'fea5962ba2801a13', 'ea52b783452118d3', '9a7654a56ef3ba60', 'dcdc4b3354df0b67', '0e07cc5fd39081f0', 'c146e1944b766179']; context = [[162, 219], [0, 37], [94, 150], [68, 105], [2, 47], [223, 278], [38, 85], [15, 76], [14, 69], [73, 123], [2, 52], [117, 181], [10, 55], [3, 58], [6, 60], [31, 69]]; loss = 0.030943 low_pass_filter = 0.300
+Epoch 0: | | 23429/? [3:42:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 23430; scene = ['b5eaad4a2942352e', '0e24133e564d8c79', '2ee60f30bf7cd949', 'e732030e9b6687c6', '3a19113b55068671', 'b3b384e4e6bb7637', '8c5c1527382bdb11', '64554b0854be0a81', '15f4341cfd79ef34', '93d579f589e7e2b6', '111b613111694571', '5b39b4c3d4a08974', '8c302407c7823198', '6f4cc17690dcdd2e', '222307f0de237e9a', '5d80dc463d9b37c4']; context = [[0, 52], [26, 87], [18, 60], [20, 75], [10, 65], [25, 81], [64, 106], [29, 84], [5, 56], [1, 39], [10, 55], [3, 65], [26, 86], [3, 50], [52, 91], [27, 73]]; loss = 0.028427 low_pass_filter = 0.300
+Epoch 0: | | 23439/? [3:42:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 23440; scene = ['646e226b3273506c', '484b4c48d5113593', '4da5d0ad927bfb10', '097dcf41471c991b', '5c0bc82c30577aa6', '211386db971dc3f8', '92c9c24bacf4d6ee', 'e0e41af517c97c32', '12dcff965389b09e', '283389655c3f1483', '736d4b798beb0a35', 'eddda29a27d55c83', 'c9c1e2b910019ebc', '93b0d5f4f00f5971', '34cc043eac727166', '3975666832e5ad4c']; context = [[32, 69], [0, 37], [9, 73], [115, 170], [1, 56], [46, 96], [23, 87], [10, 62], [121, 171], [35, 84], [184, 225], [34, 81], [33, 74], [29, 73], [136, 191], [21, 79]]; loss = 0.032590 low_pass_filter = 0.300
+Epoch 0: | | 23449/? [3:42:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 23450; scene = ['a1bb2ada3181ffff', 'ac64aa93f8140066', '138c39b21212c53c', '284f5ab7de23b695', '2813da755d297391', '36373e191159d044', '23467cc831529738', '7f2f43cf7a4adb40', '265ab8c5130603c6', 'a5dc410ab6b6ffdc', '172007be3056a5e3', '87f309174a1f7823', 'da5e405bf55673d8', '89610e2709f7fe4a', 'f3c8c41d370f099b', '9147af809fdbd541']; context = [[14, 72], [59, 113], [185, 241], [65, 119], [10, 65], [15, 71], [83, 125], [53, 111], [90, 130], [12, 60], [121, 177], [38, 99], [0, 40], [4, 54], [29, 85], [17, 71]]; loss = 0.026822 low_pass_filter = 0.300
+Epoch 0: | | 23459/? [3:42:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 23460; scene = ['b8dbe84d40168153', '4af7e21e451c4bd3', '826259ad3304c0c8', '7e79c57c6189a138', '8de4405e1caba870', '09727b443eef18dc', '1bbde963ed300641', 'b3a300b233aef618', '44fa7aa13c6dfd8e', 'a9e476f8069c0785', '08181ef1861a03a7', '7555e47b02789beb', '62eeeb4ecfb9d1cc', '9287db30ff7af69a', 'a864c0d0ec25cb6e', '9c37763c5138d4a0']; context = [[103, 156], [42, 105], [173, 222], [2, 66], [15, 80], [115, 175], [4, 63], [7, 49], [73, 129], [17, 60], [0, 48], [28, 76], [63, 107], [133, 183], [2, 46], [1, 43]]; loss = 0.029779 low_pass_filter = 0.300
+Epoch 0: | | 23469/? [3:42:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 23470; scene = ['408d2ec12e5814f6', 'a307016cafabfcfb', '7139dc5527cea06f', '6f618ecdf22e38de', '63bc150f6dabeae5', '84727cf519681ecc', 'de9452d754cf1a63', '6be9fe4a43a26b4f', 'f113e3eb8512e251', 'ff8ee30336673235', '8038a594dd50c839', '8a20ea3b37f8de6c', 'df6f4c2bb1a33680', 'c61b17c9269901b5', '5240036d17983338', '6a5b0451e24d2289']; context = [[204, 244], [34, 77], [53, 113], [87, 126], [3, 59], [37, 79], [33, 72], [171, 224], [190, 251], [10, 74], [135, 195], [118, 171], [22, 74], [7, 49], [78, 137], [9, 51]]; loss = 0.021849 low_pass_filter = 0.300
+Epoch 0: | | 23479/? [3:42:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 23480; scene = ['295b0768d718d6ab', 'ca12dbcebb3869ad', 'fd6698d9c1b2edaf', 'fac41d1437899793', '982713565101573e', '6aa984b54d1372d2', 'e1571800001bf8a0', 'f05c1d092c6ceb18', '4bdef6c0c3e06ae5', 'b194d521d939fe38', '50194a15c7538e1d', 'fedac3f5aef8fd81', 'd5384f379810516c', '9024684dd45d925a', '92d39fcc144b5253', '541ae18b8f936d11']; context = [[25, 67], [0, 49], [10, 69], [1, 51], [136, 194], [20, 77], [91, 131], [47, 106], [0, 38], [7, 56], [33, 80], [46, 90], [136, 180], [143, 194], [2, 42], [35, 97]]; loss = 0.028306 low_pass_filter = 0.300
+Epoch 0: | | 23489/? [3:42:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 23490; scene = ['7b7ad57e64ab318f', '54f68167ea012743', '7abd2cf015e33118', 'bebcc76384ce0054', 'aecc8b4894a6aae6', '197f44e74be1a9ce', '6b21da0655218fd8', '455c51863f2aa674', '5ccfd0265106128b', '56043db5b991f162', '5dc8c8ccb2deffbb', '50d215b08bfbc224', '2f63e3a9182de269', '862f094f79e994f2', '94e88b73ac271c35', 'de77c9f9e6f506da']; context = [[14, 75], [4, 58], [114, 163], [43, 104], [11, 49], [64, 126], [220, 268], [8, 71], [5, 58], [22, 87], [25, 72], [7, 48], [49, 104], [5, 62], [78, 131], [0, 49]]; loss = 0.022391 low_pass_filter = 0.300
+Epoch 0: | | 23499/? [3:43:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 23500; scene = ['4cd1cf3b7d672659', '505697452fa243f6', '2a4ac176399f16b0', '9c3f970e0901e956', '2767f5518baeb060', '8e481a83f1b68949', 'bdc7f48c83230b3d', 'c890bd86e883aae9', '3e2dba0df6626ad0', '897f99d6944efe16', '3ad6c4faa9fe5e60', 'e290173c0fde2ae8', '919d9ffa7703bf0a', '4102f7e202592faa', 'bb3c42b6434a231e', '8160c9bb2be20ad2']; context = [[0, 52], [61, 98], [45, 89], [3, 60], [12, 58], [19, 57], [28, 73], [42, 103], [44, 108], [30, 68], [21, 80], [130, 187], [13, 53], [40, 90], [66, 103], [2, 55]]; loss = 0.029618 low_pass_filter = 0.300
+Epoch 0: | | 23509/? [3:43:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 23510; scene = ['8b9263af01b07969', '8ec369930c8cf16f', '39ca0009cdabba68', '3ca99a6faf336ee3', '3d15b388862266da', '65f0e3e59c13bbf7', '42512ca51e222e21', 'f6d65c637ff68de3', '171b7984269c478d', '2d6e4ce01b803bfe', '67fb1d1f68b8103b', '19c82c4edda91a31', '3a74cdb34b1b79e1', '38f263a412fc1696', 'd7b1ea6c5fbdb3fa', 'c21ac4985720cb50']; context = [[6, 61], [0, 47], [0, 37], [114, 157], [22, 80], [39, 99], [62, 119], [2, 47], [1, 62], [39, 92], [6, 70], [37, 98], [37, 87], [29, 90], [0, 46], [5, 59]]; loss = 0.027816 low_pass_filter = 0.300
+Epoch 0: | | 23519/? [3:43:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 23520; scene = ['dcfe017a032faf61', '17e623adb5750061', 'fa1dfca0f0dd4bb1', 'ae25c3b3bd733c0c', '186027b25dee6234', 'ec1789428dbe59d6', '446f07aceef2d476', '1f30d10e3f754c66', 'c5223ef0da739843', '715c63bb45248252', '86d35668ab8b30b4', '453c9df8e4a96816', '0d6e53a797be79b2', '3cffbbab0d4fd5f2', 'a9c47c6038013d7c', '3a5ab862f3c3d360']; context = [[30, 89], [4, 66], [33, 79], [7, 68], [61, 111], [37, 99], [35, 84], [12, 58], [31, 92], [17, 65], [1, 62], [11, 48], [93, 158], [169, 228], [45, 92], [28, 78]]; loss = 0.028676 low_pass_filter = 0.300
+Epoch 0: | | 23529/? [3:43:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 23530; scene = ['a0b45bab75d35ee0', '625e3aa0ff734714', '0ce0280408216d05', '42000d5a83b48ee4', '04b859d3d26366de', 'f92964360d184d99', 'bd99ad1d47bb9005', '3d9f44d7bdd0796d', 'b1de49fea231bb59', 'bac2fdf599e88c8f', 'cdc6955dd0be5407', '3a4ed9dec73debc9', 'e32b0c5811341901', 'bed487ae39240b79', 'f9e4b5c344fd8902', '8cb183849a6041b6']; context = [[20, 71], [64, 109], [36, 77], [5, 49], [1, 64], [0, 39], [59, 102], [27, 91], [32, 69], [21, 85], [157, 218], [10, 47], [224, 266], [11, 63], [171, 219], [110, 158]]; loss = 0.025266 low_pass_filter = 0.300
+Epoch 0: | | 23539/? [3:43:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 23540; scene = ['6dd69b3cb0c8a491', '024bb4ce31dabd6e', 'e84be2b7dbe7e40f', 'ee0fbb691be99141', '472298ac40ecf118', '14ac35ac552b2a23', '845acd6a583ba124', 'f846c063935c77bb', 'fbac6f26c8753fac', '12228ffb8fab1ceb', 'e693e3a626e92694', 'bed079cdbc26fe22', 'bc662fabb0cf45ce', '42023d3c17fea2c7', '7bf5d242551c800f', '353833adfd1ffb1c']; context = [[10, 60], [0, 41], [38, 94], [2, 61], [56, 104], [25, 71], [1, 59], [38, 76], [2, 45], [27, 87], [11, 52], [24, 89], [211, 270], [13, 64], [5, 51], [5, 46]]; loss = 0.028913 low_pass_filter = 0.300
+Epoch 0: | | 23549/? [3:43:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 23550; scene = ['0b82d6fdf7a104ad', '69bf6e0583b4603e', '04493f75414c6933', '1a306618ca817952', '7549b399afe41ed8', '70d6690412f088ce', '9e49a49124564a6f', 'c94d226b402bb584', 'e83e99bb33c1a3e2', '18da6c73b59a3d9c', '7ae0bad2e96fc0df', '152a93ab43d95813', 'b2f053581c6a54ed', 'a00f87e22e7a7e17', '722eb1a6448ff0ce', '6a9597d09203d7bb']; context = [[37, 91], [102, 147], [19, 69], [78, 117], [43, 100], [31, 92], [127, 189], [3, 40], [220, 266], [8, 52], [20, 72], [16, 71], [169, 221], [0, 45], [31, 78], [136, 175]]; loss = 0.025249 low_pass_filter = 0.300
+Epoch 0: | | 23559/? [3:43:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 23560; scene = ['b04d1d608f54d91a', '9a3449c857ad8d2e', '4d0a07abd5489371', '121cc845c781ea3c', '062fc5a9d29cd651', '01b1548c7d661213', '70cccb9c7d04585e', '3978af43a7ea01e3', 'cdfc0049ab8824ca', '45656906ceb6f2c6', '8dbc54ca1f13e7e6', '6da199c6a71373ac', '52f3bb3cf1f36bf9', '882efbeb56fce689', '2fe3d2aaf6006108', '536b0a79a61e848d']; context = [[37, 93], [19, 74], [30, 84], [6, 49], [5, 47], [7, 59], [42, 86], [62, 105], [143, 188], [104, 149], [2, 45], [13, 69], [38, 82], [11, 50], [116, 170], [93, 156]]; loss = 0.028461 low_pass_filter = 0.300
+Epoch 0: | | 23569/? [3:43:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 23570; scene = ['6bd24285280fac2f', '70622e192e7ee17d', '306bfd98c1979405', 'c0fbb9bf7c8826fa', '56f0d70786d99f4e', '2b607188b335e0ad', '85ee0fc26f209eac', 'b1c69f245fc0e901', '767a02e7d26e071f', '624e38bebc2855b6', '82c4af6d697ddba5', '246a0bdee01d12f1', '5ca47925cdd3c7ce', '963389198f0d43c9', 'd96447ccfd1daf81', '5816deaba41a899d']; context = [[171, 216], [1, 42], [2, 46], [25, 73], [62, 111], [27, 68], [12, 75], [60, 112], [32, 94], [114, 154], [39, 93], [5, 68], [198, 257], [7, 60], [111, 163], [0, 59]]; loss = 0.028719 low_pass_filter = 0.300
+Epoch 0: | | 23579/? [3:43:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 23580; scene = ['193b94e9f655def6', 'edefcb5a942060c9', '41591bd73f51c3c8', '68d9927e6218be67', '201e14c1395bb7e7', 'e5aeb6cc73e1ef60', '6f61d916513afe2c', 'ccd9f68bb34bbff4', '04d184f9c745910a', '191069311543b436', 'dbee8d73e5732008', 'e15e6816a91d8735', '842f5177f9c7fa10', '394d15aa7eded273', 'ad613190a2fe993c', 'b30badb6fa628bcc']; context = [[6, 50], [20, 66], [0, 58], [122, 176], [22, 85], [31, 78], [103, 158], [141, 200], [10, 72], [67, 125], [12, 74], [26, 74], [95, 139], [86, 124], [0, 60], [17, 64]]; loss = 0.023429 low_pass_filter = 0.300
+Epoch 0: | | 23589/? [3:43:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 23590; scene = ['268516a683b177a5', '02f2bced7693a878', '5ac5095c5ba03d10', '811e0e6fc16a4a3a', '09a5339ccc711be4', '14035b2b57b80f80', '8cba0fa4eafa14cb', 'a40cfc3d2bfdfa40', '916fbead6b97efef', '28a2551c138c1f75', 'c2a4f8a0206456ff', 'e98a4440050d3155', '1c19ae7ef94379fa', '808e9fd47a7c37ec', '8b422b535466905f', '6400e0008fe087f5']; context = [[17, 65], [8, 71], [64, 101], [9, 55], [10, 63], [128, 183], [59, 111], [39, 87], [100, 145], [173, 215], [20, 78], [7, 46], [59, 108], [31, 68], [28, 78], [77, 137]]; loss = 0.030940 low_pass_filter = 0.300
+Epoch 0: | | 23599/? [3:43:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 23600; scene = ['fa815bcdb9927d2f', '6512d658e8b42f9a', '3539d531cb61889f', '8898e2a210362ba7', '401a8412c7de98a2', 'c41ec7d3f062292f', '94c1d9744c3d43d8', '1c920b38bd59f0a8', '70716081af03e1f7', '85a1f78298042147', 'b972669c5c766b18', '600b4e7878e4b09a', 'ec349cabb9b47638', '1fcda0030be61dd2', '2883310e27b80dc8', '6dfccb29bd9d71cd']; context = [[7, 70], [59, 109], [18, 61], [24, 79], [2, 62], [14, 59], [23, 76], [19, 84], [4, 61], [73, 123], [23, 70], [51, 91], [19, 83], [18, 77], [45, 95], [73, 117]]; loss = 0.026449 low_pass_filter = 0.300
+Epoch 0: | | 23609/? [3:44:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 23610; scene = ['a1c87988196faa14', 'c107dbf82a3dd945', 'a5024f16e04e4c89', 'b691ac96f3219c11', 'ebdcd30ebe69fd2e', '13e771bcd1f459b0', '13a366c2b05220d3', 'ee457ef6827d4568', '9f3a66dc64d7fdc9', 'f792272e396d1964', 'eb09cd7e9ffbe950', 'c3db550fbcb1f2b1', '2aaf84176521c42f', 'aa97744d1ed6c13b', 'c5202610b421304f', '4ca08ed9abd6d4e8']; context = [[57, 108], [117, 169], [35, 97], [3, 42], [25, 63], [141, 188], [30, 72], [66, 128], [1, 66], [4, 51], [91, 130], [27, 76], [74, 126], [33, 74], [19, 74], [8, 69]]; loss = 0.025719 low_pass_filter = 0.300
+Epoch 0: | | 23619/? [3:44:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 23620; scene = ['fa114cb02b25cf9c', '51906f14ac9f95c4', '83689b78310fab98', '0da66e0b84245e9a', '1b05efe10364c018', 'f0c1455efb8d4272', 'f86cf6a67566bbee', 'b095acdded6e47d1', 'd196dc894157ca53', '7ef98d73d599a144', 'dc52369ae90fed74', '69a46538362147d5', '5d627dc0f8bb0ca1', '9f4c3a8d89ac49c8', '958aebff5c34c3af', '8102b15a3f244713']; context = [[209, 247], [48, 98], [5, 53], [23, 79], [35, 95], [0, 56], [1, 56], [112, 161], [17, 55], [9, 67], [29, 76], [209, 247], [149, 200], [163, 213], [0, 62], [145, 210]]; loss = 0.029743 low_pass_filter = 0.300
+Epoch 0: | | 23629/? [3:44:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 23630; scene = ['a931f15fa6a0b25f', '9637428fa666ef4c', 'd22e085f998aa325', '9bad3ae70b077f2d', '28e8b02f952b3884', '11e04746e3097517', '9173f511f59175a8', '6c8b264c8885d701', 'b5ab121f7a769a24', '72e7a362766453e3', '1f422061ac96b1eb', '92aaddb650594a25', 'ce9ac8857f5efe22', '4da417ceb0d1c7ed', 'ff1a9e62152d18d2', '835256555ef6a5a1']; context = [[75, 139], [56, 111], [149, 204], [26, 77], [77, 117], [3, 40], [20, 71], [9, 69], [5, 42], [7, 63], [39, 77], [32, 79], [4, 59], [0, 37], [64, 109], [72, 127]]; loss = 0.027352 low_pass_filter = 0.300
+Epoch 0: | | 23639/? [3:44:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 23640; scene = ['36353723a7254d0a', '3a38588b6bbef648', '4612b184ef749925', 'a79e3079819474f7', '57ca2bd4051ca168', '153403ea07df9eda', '30f3cc76d343b9d3', '5faaf84b234d10a9', 'b10f1fad87fc039b', 'ea6c5ba4e270d851', '483c778dc80e6552', '8baff2c140c3d6c5', 'af0c2e217035b91b', '2744f37265768ad1', '2abaa60234c26ce6', 'a81f114536c0a042']; context = [[152, 192], [14, 60], [146, 206], [44, 87], [8, 73], [74, 128], [14, 78], [20, 77], [43, 92], [179, 218], [232, 272], [0, 48], [2, 39], [29, 86], [7, 68], [6, 61]]; loss = 0.030290 low_pass_filter = 0.300
+Epoch 0: | | 23649/? [3:44:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 23650; scene = ['bee339cc45bb274a', '4a0cdf7ef67e9987', '590bb98dea23e2d5', '3230ae893262c016', '9baa7e80e0e09d0e', '1896e6de7dc0f4db', '1a53540061b38408', 'c4a2b071fccc524f', '8b513ead658d6753', 'c1071bd28d74ed88', 'd60ef5aa38122e8c', '6b50b3216c960472', '7c106dbf0d98767a', '4375fc375ab1d327', '7ec7f5a09683915e', 'edfa8f13136b2969']; context = [[86, 123], [67, 118], [3, 50], [16, 65], [10, 70], [232, 275], [28, 74], [19, 80], [71, 128], [4, 54], [41, 102], [0, 57], [11, 60], [68, 131], [60, 106], [183, 237]]; loss = 0.029544 low_pass_filter = 0.300
+Epoch 0: | | 23659/? [3:44:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 23660; scene = ['f4c528cf35bc4760', '78632056dc5a1447', '92c3585d178183e7', 'ea429efd4134679f', '19f8aae84d4262bb', '89820bf5286f55ce', '02d8d1b0966beff5', '23a5a10ceb602732', 'dae92de519093758', '18ed00d714916317', '4a94d8357726aa7c', '6495cc99c12835d0', 'aa0340ace90055e5', 'f8ca559f76485ab5', 'e1f9dac8089dda3c', '9309feca5f4aa7d0']; context = [[215, 254], [71, 131], [3, 55], [112, 155], [61, 126], [13, 59], [126, 182], [18, 80], [18, 68], [0, 55], [8, 47], [135, 172], [14, 62], [7, 64], [37, 75], [157, 206]]; loss = 0.026102 low_pass_filter = 0.300
+Epoch 0: | | 23669/? [3:44:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 23670; scene = ['839afafb270fe36c', '42f74d7e8843d492', 'fa49b8a4ce355d53', '9d81ebc13f6a11ca', 'aece6bcce31218a6', '686ad3f8a986c1d1', '53c526ec529330bf', '287551bbd0223d5b', '47978344bbc75de5', 'd17f34407a5b4eae', '26687abb788c08be', 'd5520fef0acc013d', '4d175e1722d51d15', '1e282735e3e48328', 'a60a57a410d249eb', '98c52825e7ffac25']; context = [[27, 75], [1, 59], [4, 69], [17, 81], [0, 38], [36, 75], [17, 56], [25, 65], [2, 54], [6, 44], [40, 90], [60, 102], [36, 96], [41, 87], [22, 72], [2, 50]]; loss = 0.035374 low_pass_filter = 0.300
+Epoch 0: | | 23679/? [3:44:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 23680; scene = ['eca88f83164ab4a3', '40feb7856665d3d5', '430406c1e2815e24', 'b09d1ab83491c9e8', '0b2c6745daa6b386', '611e7445a2567f6c', '184f88882b243fb6', '739668a2e4736e71', '3027e1f17f7891c8', 'a53e86a301e2d2b9', '165b60928edc5d9b', '551c2fa9249383ab', '11ebf927faa75db6', '3b557f99a9d78fe4', 'b0441fae76190daa', 'f302eaad53cfb0b2']; context = [[21, 67], [59, 105], [43, 101], [4, 42], [111, 173], [208, 266], [57, 122], [6, 55], [146, 190], [151, 191], [14, 77], [2, 39], [1, 60], [38, 103], [48, 93], [14, 61]]; loss = 0.023937 low_pass_filter = 0.300
+Epoch 0: | | 23689/? [3:44:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 23690; scene = ['37ff350eba2c5f64', 'cb6f68fd2e9755aa', '6d638e347e889c63', 'c28f10a578096fe7', 'c86ccd2448e8735d', '0476466b02a84b3a', 'bc8d6f045241fec7', 'd705175cee467a2f', '1f2c53501ca20a48', 'ffc4643950346872', '008d5bc870d12c22', '66a09cc7f5e4dbc8', '10810c921b4b3f84', '684090b9114f3aa1', 'cff943ff40169064', 'f0712581f6277ffc']; context = [[20, 72], [18, 70], [90, 143], [26, 71], [61, 115], [67, 129], [194, 246], [73, 135], [60, 104], [71, 111], [103, 156], [29, 84], [18, 69], [27, 79], [28, 68], [9, 61]]; loss = 0.027826 low_pass_filter = 0.300
+Epoch 0: | | 23699/? [3:44:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 23700; scene = ['b927257619ef466b', '18833f51eddb9764', 'd89dccefb162fa07', 'b0df58fdae1ac69a', '15af009b55f7368c', 'ed686303487b34dd', '927c6bc164e80368', '9d2b6e94722db0dd', 'e46b73ef692a68ca', '67e0c57218dd5c1b', '11a27e05ba012c36', '63451a162b7a6589', '3de36eca0531b5e5', 'fd6479900daf0e7e', '009f5248262f70e0', '7776d22b2a8132b6']; context = [[57, 96], [5, 43], [120, 185], [83, 137], [4, 51], [72, 132], [25, 68], [37, 81], [18, 56], [104, 169], [6, 57], [5, 49], [53, 111], [104, 146], [72, 123], [9, 68]]; loss = 0.026117 low_pass_filter = 0.300
+Epoch 0: | | 23709/? [3:44:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 23710; scene = ['f763314077dee3f9', 'dd315dbacb3d14af', 'f8e8aa4850d3463b', '6c767949ba9cd00e', '3fc8774e34beae34', '0be86da2860e67e1', 'e94e5df06dd48826', '6f111fbf5e449478', 'ac8fc8f2ab52719a', '9c61dd28fddc8d7c', '56b96652f474e2af', '0ebaf1f06a17c1c4', 'd0eb1c75d4f4cee6', 'ceebfcfc94921ac1', 'dd2fd9055ee69419', '769f2c32b56cfb49']; context = [[115, 181], [14, 62], [82, 123], [8, 56], [8, 66], [1, 57], [198, 249], [182, 241], [6, 60], [6, 57], [68, 128], [2, 57], [0, 37], [18, 71], [6, 53], [201, 251]]; loss = 0.026675 low_pass_filter = 0.300
+Epoch 0: | | 23719/? [3:45:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 23720; scene = ['0a2779d52af40db3', 'e8f8d92eea003f0d', '434bd83c81eae45d', 'd378904cf46479f2', '5111e9fee46cdb11', 'd6951f00076c15a2', '5799a001baf71ce5', '992925358996d7f5', '676397074933e68a', '208bd0af6bc8937b', '8728264c6018e495', 'af7f5ee416e05f8d', 'b918852a1561726c', '8aa87dbef45279df', '6e62128a879efd48', '935328d1049e18ba']; context = [[93, 149], [2, 44], [19, 63], [17, 61], [62, 124], [107, 162], [10, 59], [18, 56], [106, 156], [34, 82], [74, 118], [0, 37], [38, 77], [9, 57], [41, 86], [28, 75]]; loss = 0.027469 low_pass_filter = 0.300
+Epoch 0: | | 23729/? [3:45:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 23730; scene = ['7bf9850188922e2a', '308d09da548ecf61', '03f7f7496ff5713f', '3c19e57ac3f4ee30', '3bfd6cf9e7f908ad', 'e17c8318e482fd68', 'e61566ae677446b3', 'a59e145c063f1ed7', '060de3e4675e2418', '1c23077bfac5fdfa', '71f772e05b14d6ed', '5355da26f7f618a1', '2be6cccb17d391dd', '765cf0000db9cc0b', 'd98478061d8a24ef', '3ac9999cdd9d2c26']; context = [[25, 62], [18, 56], [12, 65], [2, 65], [57, 96], [0, 50], [40, 89], [112, 168], [16, 68], [21, 65], [145, 184], [93, 148], [6, 66], [46, 107], [19, 67], [2, 40]]; loss = 0.026683 low_pass_filter = 0.300
+Epoch 0: | | 23739/? [3:45:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 23740; scene = ['4a0b4e760a68697a', 'fcdcc21f43af696d', '290a5651c6af5c70', 'a8ab50f4ebaccbb7', 'cd11338af203e348', '57ca8429511977e5', '6574856af56d242c', '035f3f099bf499b4', 'b1c0d6884ffdf290', '0c199c575b699444', 'a5c03b0c5fb7203e', '169f09c33ee35289', '9f718bd70c758cf6', '08037bd2a08cfbcb', 'c6ff95c0d520def6', '17078e61ee975a4c']; context = [[27, 66], [0, 43], [7, 59], [8, 65], [24, 69], [21, 66], [21, 58], [17, 79], [62, 99], [196, 251], [51, 103], [36, 80], [2, 43], [1, 61], [60, 98], [6, 71]]; loss = 0.028896 low_pass_filter = 0.300
+Epoch 0: | | 23749/? [3:45:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 23750; scene = ['444ea4592cbe76e2', '59ec36ffb440b683', 'ec2738b1381a1fa9', '99ad4342945c6cbe', 'd779cbdf0de8617f', '9aef44a2794648ca', '46104808b33c09da', '8a543bf958e48dea', 'cdbb5456c4a6c130', '082df11768924c7e', 'c3a695650753db89', 'ff2bd6b594638b0e', 'a3e389b0c33b31cb', 'afe7352745af8df5', 'afc302429757e7af', '553c15ccd8a7c665']; context = [[5, 47], [83, 141], [193, 254], [137, 196], [3, 44], [150, 204], [0, 42], [202, 245], [43, 90], [32, 79], [45, 91], [28, 91], [13, 78], [0, 57], [139, 181], [10, 53]]; loss = 0.029819 low_pass_filter = 0.300
+Epoch 0: | | 23759/? [3:45:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 23760; scene = ['8bbc276264c2e22e', '72a33dddf16c6f4d', '60f5e5607086c08a', '4845388530a74505', 'b0d028f08185a675', '529e2387fa3fb753', '2a97804c2c08b819', 'ebb7dc16b320e609', '3ea809cbcdb41fa7', '7addead467bf9cde', '0546b901d6b75353', 'f99aafb53f76f519', '8a992755a8cf4051', 'c9fd47052ffbb2e6', '3af749f2153f1107', '40ae6a25353e43f0']; context = [[67, 123], [3, 41], [3, 67], [11, 66], [80, 120], [8, 69], [83, 135], [5, 61], [0, 40], [15, 73], [2, 67], [50, 106], [111, 174], [45, 98], [57, 118], [188, 251]]; loss = 0.030345 low_pass_filter = 0.300
+Epoch 0: | | 23769/? [3:45:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 23770; scene = ['81d9a45e3752415c', '772542fd431e3a6d', '2b92610ff58808bb', 'ef8606ff8897efac', '1a62c49c1a96a7e4', '7b1ac0cfb99be277', '70ab71f97fc208f0', '8c89fdf2c6a13c25', '826259ad3304c0c8', '73b73c8050d2db9a', 'b3a300b233aef618', '09727b443eef18dc', '4af7e21e451c4bd3', '44fa7aa13c6dfd8e', 'b8dbe84d40168153', '1bbde963ed300641']; context = [[95, 160], [19, 72], [7, 56], [15, 70], [2, 45], [4, 70], [39, 101], [1, 45], [71, 115], [105, 160], [5, 53], [132, 172], [38, 94], [81, 123], [41, 84], [5, 69]]; loss = 0.024904 low_pass_filter = 0.300
+Epoch 0: | | 23779/? [3:45:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 23780; scene = ['f4dca39287187d39', '9510c1bbe7d37939', '2046b9ba5c527c28', '8f36773c9aa1a91d', '6ca66a506af6977d', 'a2c3934b695a1514', '30ad1d6e17b4922b', '95944b694ab2fe24', 'e1cdd73fcf663dff', '1f1744b617eb9080', '36752f8fe51ec622', 'c18059287117dc42', 'b06d8179dc790851', '8c1ea3036d433d59', '203db9a6ce37b351', '06966417c542a4f6']; context = [[99, 136], [64, 107], [84, 124], [40, 101], [83, 149], [66, 106], [31, 72], [82, 136], [17, 63], [151, 197], [93, 130], [56, 121], [14, 71], [168, 206], [0, 41], [33, 92]]; loss = 0.027715 low_pass_filter = 0.300
+Epoch 0: | | 23789/? [3:45:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 23790; scene = ['28be048b18c389ca', 'd194a6dd4069b4d3', 'db824aff06a55894', '9cf2eea8fcc7d2e5', '3d7b9635ce40110e', 'd6c25b52e39788fd', '8ffce2b1cc62109c', 'a1e59c09aca976c4', '0aa2d2048c581dff', 'ba912e46735db7fa', '8eb7ab71f603c9d4', '583b01780d32f323', '9e1b58ec292d6690', 'ff87c19446c6325e', '177f4c538bca33cb', '87d4cd64fed11f2d']; context = [[24, 75], [16, 54], [5, 69], [14, 58], [46, 104], [63, 102], [111, 166], [1, 63], [214, 274], [115, 178], [72, 133], [0, 37], [3, 67], [40, 77], [8, 72], [11, 56]]; loss = 0.030812 low_pass_filter = 0.300
+Epoch 0: | | 23799/? [3:45:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 23800; scene = ['dbc8f6b8f02a5df6', '72e02bab04fb8c64', 'fac84877f62bf4ac', '6d5adb44b0fcc0f5', '35504747966f90b0', '752a9ba05152ec94', '0923f3552ad572f7', '42b6210318e504de', '9a10d4b47d4c3b2a', '38a359f7eaeebdb3', '87b5b7b36ca1c6c8', 'a09912f76919c58d', 'e8e7f9455eb59fad', '65e2be2f97378beb', '996208a794d41f95', '8e178e5791592e45']; context = [[54, 113], [28, 66], [5, 45], [59, 117], [7, 50], [79, 116], [2, 50], [0, 38], [36, 92], [54, 118], [0, 38], [56, 112], [10, 76], [117, 166], [63, 110], [38, 78]]; loss = 0.024602 low_pass_filter = 0.300
+Epoch 0: | | 23809/? [3:45:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 23810; scene = ['b3f1d9e291979d4d', 'cb9560f7008d7314', '9c5add8591f693dd', '59c7874807e993bc', 'e84178ef466d3974', '93fb96bc2d3b8bff', '58f4b2ce84d33565', 'a9b070f212e5f277', 'd2757e2b5edb04c5', 'bbb36359cd553f3a', '6aa927450138c021', '780ad45fced462d7', '0ec197e81b8d0f77', 'be6471058d2d22ab', '620d222665049f34', 'ec30b155fdb742b4']; context = [[15, 60], [19, 77], [60, 116], [223, 278], [47, 95], [0, 43], [162, 212], [76, 139], [17, 71], [12, 53], [62, 107], [37, 78], [39, 86], [2, 60], [2, 47], [98, 150]]; loss = 0.023081 low_pass_filter = 0.300
+Epoch 0: | | 23819/? [3:46:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 23820; scene = ['26b7cc5562e364f1', 'e4832b64e5b73784', '0be9edb1ba9bf557', 'b453004f4b83ddfc', '4ded834533bbead0', '4d72f2752f9a8439', '969c91a2507e2d81', 'f9ee4b8ed48bd9f3', '24add6cb04d4d532', '0d39f26bcf32c8a5', '626634d7c85c3909', '74100e9fd6373f84', 'e36559fcd2232e9a', 'f36581e435eb92a5', '163b00dcf34c2a6e', 'aaeda995507b804d']; context = [[5, 47], [0, 50], [199, 242], [90, 134], [22, 63], [77, 130], [18, 69], [5, 54], [42, 107], [58, 110], [0, 43], [129, 185], [7, 49], [2, 52], [13, 50], [18, 75]]; loss = 0.028438 low_pass_filter = 0.300
+Epoch 0: | | 23829/? [3:46:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 23830; scene = ['8e2be4982c66d479', '94be78a8a5500285', '2a866103ec3d8348', '1f0cf1a9439210f9', 'f3b614caf5078792', '9e51170a8e584e09', 'b84872a112abb026', '82fb9650578cf923', 'dc775a94f29436ca', '5f4d0a92e1a41328', '1adbee59b28927b3', '9f991ae87bc0e4b1', '71c8c9e729b12aae', '8bd11e42989f95ab', 'e3257f852e9e49f3', '4abee89a8a0ad4a8']; context = [[188, 254], [41, 82], [0, 40], [9, 55], [7, 65], [61, 101], [2, 43], [21, 60], [15, 61], [22, 84], [59, 118], [13, 76], [9, 72], [66, 117], [66, 132], [9, 47]]; loss = 0.026392 low_pass_filter = 0.300
+Epoch 0: | | 23839/? [3:46:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 23840; scene = ['54f4ae9238e5d273', '84af5a6dc02a4fc5', '159b1908406ca716', '81816f8687df5c68', 'f0e75cde2232224a', '9b417f4a07fa1404', 'd1ebd5d89e694609', '27912a7783acc4c7', '1b92ff53549440e5', '293ae3a90e34ba37', '84775696a780d940', '3c74942b2a1ebb46', 'd63e688b51974eab', '9400cef95716ea17', 'a563a9ac0035602f', '56f96532473be1b0']; context = [[0, 66], [7, 63], [33, 92], [58, 108], [58, 104], [48, 86], [38, 81], [2, 40], [13, 61], [32, 92], [10, 57], [19, 68], [72, 117], [58, 105], [68, 110], [33, 70]]; loss = 0.028838 low_pass_filter = 0.300
+Epoch 0: | | 23849/? [3:46:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 23850; scene = ['cdf3b28814b65c1f', '306b847908786dd9', 'df416414f84e7fda', '68c08dd9afc6b2f0', 'c4cbb66b72003fec', '05281fc06f9b485c', '45122de717639111', '6eab0e0fac67fbeb', 'ccbd1158c0818333', 'dc83f0049473cb5c', '11522e4873b5e933', '3d2323b7e2d6c2cc', '8cb3e7d09f0310f7', '3f7a0be32e85cce3', '70e9f9b109005879', 'ec4d1bc7b2cffc2b']; context = [[163, 224], [127, 181], [2, 42], [13, 69], [203, 249], [3, 42], [28, 71], [11, 57], [12, 61], [0, 56], [13, 58], [40, 85], [42, 96], [16, 55], [32, 91], [59, 103]]; loss = 0.029154 low_pass_filter = 0.300
+Epoch 0: | | 23859/? [3:46:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 23860; scene = ['41eee0d73b5ea2be', 'b81d8d1868189a77', 'ab835dbe3d68c7b3', '1f324e80f4d3cae3', '2d26a092f3420ef3', '8517821b7e052349', '649e273139a4154d', '4cf3433161999747', 'de3e555b9b4ad3d8', '927d7dadc0042ba9', '05b75a4253ba2a4d', '55aa00838683a8c7', 'aeec7f8fc81c15bf', 'f30d96407e2302c4', '9160af07eb1e5fc7', '5a39d610506d097c']; context = [[23, 88], [23, 88], [29, 74], [7, 44], [18, 64], [2, 45], [94, 139], [0, 61], [106, 168], [3, 49], [118, 163], [7, 57], [8, 55], [42, 95], [7, 72], [225, 265]]; loss = 0.031595 low_pass_filter = 0.300
+Epoch 0: | | 23869/? [3:46:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 23870; scene = ['3233932b0505b21d', 'd26ab9c62be59001', '4739fc5ed7553f10', '3151e48717cc2a77', '45ec2121ecfbcaea', '25606b1d6b79c3a5', '98875eabec2dbd2e', '99ad6a316ad09fcd', '5893ecb5ca418955', '1ad7adae6a042ce1', '6b8bf7759c041d98', 'bfacba0a18500c13', '8b3765816a0cb218', '841c8115deb71c25', '82be68c78bfd5dcf', '96fbaabf762077c5']; context = [[41, 87], [105, 159], [0, 66], [1, 63], [93, 137], [6, 72], [11, 51], [83, 139], [7, 60], [29, 78], [46, 96], [14, 63], [13, 51], [29, 90], [44, 97], [1, 42]]; loss = 0.024752 low_pass_filter = 0.300
+Epoch 0: | | 23879/? [3:46:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 23880; scene = ['350ee2da20bba2be', 'f9b3fd7bc45c853a', 'df8aed95e105f065', '1b4c3cfe64fe6067', '438b09876af8f04e', 'd9314cc976dfa779', 'a9909b47ff5dd70a', 'f59f1231a6194510', 'ef685fbdf3e576a7', '82b22a784b4af245', '9be3165beb073d95', '59f9c9b55158d47d', '399d4c691a973f9c', '2c71433516d2e8dd', '17975ff871886fcc', '6da93982840c7f27']; context = [[18, 67], [62, 116], [123, 170], [32, 97], [14, 60], [79, 132], [8, 54], [20, 80], [20, 65], [55, 111], [54, 97], [25, 81], [38, 83], [30, 71], [40, 83], [176, 216]]; loss = 0.025165 low_pass_filter = 0.300
+Epoch 0: | | 23889/? [3:46:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 23890; scene = ['74ecb6b8bfd55df4', '459ae388f8b6cf56', '54e69836e875f8ac', '0800911f12284372', '5f8c39c5e8834082', '13cefd85b0100975', '05ec6a8aa6630928', 'de137f51846c63b6', '40a45b91d5f5e533', 'e933e39642413c83', 'a122c1228022e3ca', '06445de8291a6bdf', '95ce04afcd02e7b4', 'fca1f74b2536688c', 'a9480ab19f0edc3b', 'f7dee93d8f7d334d']; context = [[81, 119], [147, 212], [150, 187], [5, 68], [0, 40], [82, 139], [140, 200], [1, 51], [22, 59], [23, 63], [64, 127], [24, 66], [9, 60], [54, 109], [0, 48], [47, 110]]; loss = 0.028011 low_pass_filter = 0.300
+Epoch 0: | | 23899/? [3:46:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 23900; scene = ['b77fab4ece94942f', '445634d65b9394fb', '387a1f901c5bab8e', '47586d863c2e4581', 'be1c77697b6f4f11', 'adf613ef8a2abd2c', '8e95236d29403f90', 'c26cbf75018b9deb', '26dd5a371da578b2', '1997a21f798ca9e3', '6959505fc3548caa', '38b363e3d000f037', '01adadff46865ec2', '10c8704bb6745b6e', '714c3dc97fac769a', '97efb1c9d012a89a']; context = [[75, 115], [37, 78], [14, 64], [19, 73], [61, 112], [38, 75], [4, 66], [108, 166], [12, 53], [42, 92], [10, 73], [36, 92], [117, 165], [27, 85], [3, 63], [172, 233]]; loss = 0.025640 low_pass_filter = 0.300
+Epoch 0: | | 23909/? [3:46:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 23910; scene = ['64f07750a0acd912', '2c70a962096d773a', 'fae93ceeaaf99328', 'd92a6ababd47f047', '121e5c07f2b87ec8', 'b090e2aca65c679a', 'b894adf6610ec8a6', '1a50a5e0096742c3', '5fc14076d0059d8a', '36d957c25ce3a65d', 'c1628e1f1e308fb6', '3985b66cc91776eb', '4af1f08d7b5d1523', '837d2467631c6e6a', '6545dab9a4699ef0', '1a402532663d05ad']; context = [[13, 66], [6, 60], [52, 97], [233, 278], [77, 124], [40, 97], [91, 142], [109, 149], [88, 151], [2, 61], [5, 50], [50, 113], [36, 92], [31, 89], [23, 88], [45, 82]]; loss = 0.027487 low_pass_filter = 0.300
+Epoch 0: | | 23919/? [3:46:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 23920; scene = ['e259e333d962215d', '2421a628a0174619', '513d4618c36d0e42', 'c8f4d22cb5653538', '44b69a93870cf884', 'b4a067f6bed5167b', 'd8d873a1acc0d2f5', 'ff37eb9337254992', 'cbeae4190b62a213', '7b06fe1270f6e417', 'ee3e327301f538d8', '8fc141c868e7d6f3', '0505defd59ecbdb2', 'a17833025aa5db5d', 'eeb5c563af1bd027', 'c8c74724bd3e6fd6']; context = [[38, 80], [68, 113], [34, 91], [66, 106], [26, 69], [2, 42], [112, 157], [13, 65], [1, 59], [59, 116], [24, 67], [45, 82], [166, 210], [4, 51], [13, 67], [0, 37]]; loss = 0.026028 low_pass_filter = 0.300
+Epoch 0: | | 23929/? [3:47:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 23930; scene = ['58ac0ca6ba85ada9', 'ce019e2e248ec5b3', '1346c01a9e322da2', 'd4f58eddfca6260f', '3c102d1802f820c3', '76467df94b133797', 'bc30fab0317ce551', 'a5b167a51f1d8397', '8acffd95fbf48c10', '5c1ce1faee51a8d9', 'be10e6849ca2240a', '45d1ce034325d8b5', '3b7e2ac007968838', '40d0ba7e188c5151', 'fe6612a4ad77c1a5', '07e89fbf76b33051']; context = [[79, 124], [8, 63], [29, 95], [19, 58], [8, 59], [37, 80], [95, 161], [10, 47], [82, 122], [9, 47], [0, 42], [9, 65], [7, 66], [15, 64], [28, 94], [26, 65]]; loss = 0.026853 low_pass_filter = 0.300
+Epoch 0: | | 23939/? [3:47:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 23940; scene = ['c70ec2266ff05de9', '895396d4ceaee46d', '004d2899ce6cfd7e', 'aaf53710fd4ba7fb', '302c98bb282bacf1', '83d97ebbe2e3c69d', '420997bae050f564', '89c836e48cd828c1', '6765cbf77386ace2', '1ab06178863293c3', '78a56baf9c6f433a', '033b631b4a7b6397', '00ad47b927f0c851', '55e0660cad6d7d5c', '7b1854aa0edd0d17', 'de2fae8dc08aade7']; context = [[44, 110], [10, 73], [62, 127], [64, 112], [0, 62], [147, 213], [75, 113], [35, 100], [17, 66], [27, 78], [1, 40], [40, 91], [0, 59], [13, 79], [183, 244], [35, 93]]; loss = 0.026821 low_pass_filter = 0.300
+Epoch 0: | | 23949/? [3:47:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 23950; scene = ['db83efb82741525d', '68f70ec2199dd7c5', '85252cd1589d94fb', 'fea20641f75fac55', '42d4b523a2916051', '95582ad20a09f7ee', 'dc5f3f6bf9b5bbf7', '292ed237c4689f0a', '2ab0a57f87b55a7d', '1f6587bd95d4bdae', '01f7b353655b6eeb', '1bf48dbc7214ae64', '383411354fc1073e', '46d97ff2d47bd0b1', 'dd41d5c9bec9d428', '1b640724a4303dba']; context = [[130, 173], [1, 42], [5, 47], [8, 66], [54, 95], [60, 126], [60, 119], [72, 135], [0, 54], [55, 96], [18, 81], [13, 66], [48, 99], [94, 158], [4, 70], [9, 65]]; loss = 0.029870 low_pass_filter = 0.300
+Epoch 0: | | 23959/? [3:47:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 23960; scene = ['1091902caff03514', '43e02f5bd7d7fa5c', 'ead46a318c2acc92', 'cd9e17454c9fce39', '388b4a886ab03918', '5fe7c4f4a4702b92', 'cf6c752f6f5f28ac', '78b31552d8e87131', '65facef68848d8f3', '56be35cfccd147b7', '52508a22716c1b14', 'a10ab344d6b19fe7', 'ebe99aa369e9d866', '96685d6fb541e340', '1e0c95d706b4ad26', '39056c1a044a93ec']; context = [[62, 123], [33, 76], [194, 234], [9, 75], [29, 93], [93, 143], [191, 234], [32, 73], [64, 123], [11, 75], [91, 137], [143, 193], [3, 41], [31, 74], [92, 131], [45, 101]]; loss = 0.026690 low_pass_filter = 0.300
+Epoch 0: | | 23969/? [3:47:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 23970; scene = ['79c9700db65046b2', '8d287cd90144bd12', '4d037353eceffaff', 'f42f2bd21cb160f1', 'a1bb2d60fddf47d4', '8a82ebaedc2cff44', '3af5cc9297f1a4d4', '41d2fc0bf09f8ad8', '8149c3a980cebc93', 'c39bf602062e4dc2', '97e0b8e8857a9811', 'b626d208b933bef1', '61626373a7464fb8', 'c82230f3fd1f06f0', '88b06933ce7de77f', 'db53ab3a561b778b']; context = [[18, 63], [45, 82], [33, 84], [25, 91], [29, 77], [163, 217], [116, 159], [123, 164], [30, 83], [19, 80], [29, 71], [11, 60], [185, 233], [5, 45], [60, 118], [17, 79]]; loss = 0.041362 low_pass_filter = 0.300
+Epoch 0: | | 23979/? [3:47:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 23980; scene = ['70c56631eef0de6e', 'abca120df6b75dbe', '0d8e5289e56244c4', 'bcc00e27ca39c0e0', '2c233ea19f5a5f34', 'fab2da62901db99e', 'c04814a993082566', '94d6c9640b346a2e', '40c9b11b7a6808fd', '4eddff1b7fab511e', 'f713eae29d194d0d', '67049416a81e3457', 'd60dcf55511d8be9', 'a2ca981bcd5a2576', '56e7b45a1a6809b5', '42b07aa8d3701d5c']; context = [[17, 58], [8, 67], [10, 48], [2, 55], [52, 105], [3, 64], [51, 89], [41, 107], [87, 147], [4, 60], [1, 43], [16, 76], [213, 268], [50, 98], [42, 80], [53, 118]]; loss = 0.028618 low_pass_filter = 0.300
+Epoch 0: | | 23989/? [3:47:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 23990; scene = ['16ae5cc96adfad6c', 'd477bc7d47591527', 'b1b495944794f97c', 'cefe35d51bec9a7e', '8d43a7230b10a6de', '6119beda95f11d2f', 'd9046310390dcaf3', 'c35caeecb39384c1', '0a11dd9556fc99b0', '0d4ae3101bbba58d', 'ef4a031cc59eba0c', '1ebafcd97626e04a', 'd9641b3f6ca0b13d', '0f819dc526c6789d', 'd2086a2d8ce2a6fe', '88c708a41a1fb05d']; context = [[11, 64], [2, 48], [102, 146], [44, 91], [8, 69], [28, 72], [1, 38], [69, 113], [16, 70], [12, 67], [175, 217], [65, 116], [2, 46], [3, 44], [13, 67], [41, 80]]; loss = 0.026513 low_pass_filter = 0.300
+Epoch 0: | | 23999/? [3:47:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 24000; scene = ['332db302db18a6b1', 'db97b11381863147', '58fd1e2aa6aa30fb', 'aeba0e80ade27c60', 'dd61e223f3c5ea1c', '0e72cd138b93788d', '9720a52405835b98', '0eedfd3367866a18', '7713ce831ffa7df9', '0ab530d9a633759b', 'c39f1a9a73797efe', '6eaf25e955229c09', '6b0d274033a5e77b', '49bf7713961a7248', 'aa62a6ac70b80789', 'a28f806c4f91b310']; context = [[12, 78], [73, 121], [132, 198], [68, 132], [138, 201], [199, 262], [28, 69], [5, 59], [7, 60], [3, 54], [0, 50], [136, 177], [72, 117], [19, 62], [31, 69], [67, 125]]; loss = 0.036547 low_pass_filter = 0.300
+Epoch 0: | | 24000/? [3:47:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000validation step 24000; scene = ['62b83cb60c353c3c']; context = [[16, 79]]
+Epoch 0: | | 24009/? [3:47:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 24010; scene = ['0ee076a95be50227', '0334f55ea3b2ab1a', 'b1b24b049d5a5da4', '99082829de5c73d6', '8c39c84ddbe910b0', 'a41891d1637dfb7a', 'e003492481dc97fb', 'cf99be734020f5e8', '6117c2b20945c81e', '82e322fd874646b4', '41ec906dc23d8331', 'de4089b39a60c2a4', 'c40aa75b5f7bc9e3', '2d9ea631e6423141', '36feb99313a2de30', 'dbd3d7fbd6bc898c']; context = [[191, 246], [35, 86], [5, 62], [110, 176], [143, 195], [85, 126], [44, 107], [13, 70], [140, 184], [0, 41], [109, 168], [3, 52], [10, 66], [8, 68], [45, 105], [21, 69]]; loss = 0.028127 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 24019/? [3:47:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 24020; scene = ['9086929b365d2a3f', '5b3b21b947b6ac98', 'b18c3a67a54657ef', '81862b995f91b0d7', '34c71b535c38bb77', '13aa603a3003bf77', '1f75e8e099e8c7d2', 'ef5db6b3bdfb233e', '9be32111579c9933', '21fe3a38ab64fce5', 'f5ffca00f6cb3a2d', 'eca27ee3d2248402', 'b4ae1b697a1ac6da', '4cee9bf0a2b1738c', '388e0fc521804f76', 'fd15c58a3f4f0b8a']; context = [[19, 66], [11, 49], [1, 56], [17, 76], [14, 60], [0, 38], [53, 119], [26, 65], [13, 61], [25, 62], [48, 101], [66, 117], [60, 102], [116, 160], [11, 53], [6, 68]]; loss = 0.026055 low_pass_filter = 0.300
+Epoch 0: | | 24029/? [3:48:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 24030; scene = ['cb6a581957b0a925', '5c047522c1e8764a', '86168d9408d50c1d', 'd438e6b186071150', '70b6c45280496e84', 'c75dd6b151fc618c', '39fa6b21b5a2e65e', '0b8049e94cc33a66', 'e970eebc4848850b', 'a7fe1e367a54260c', '94a5f9c34755c629', '33713bd6ed0d6848', 'fd19a3e4b1433dfe', '88c6dd400bd1a841', 'a8964dbe9bd1945e', '47569a0a8b03cf52']; context = [[33, 79], [127, 187], [26, 84], [0, 37], [17, 54], [2, 44], [4, 48], [12, 65], [23, 80], [25, 76], [4, 58], [69, 107], [209, 266], [0, 42], [49, 115], [26, 77]]; loss = 0.030629 low_pass_filter = 0.300
+Epoch 0: | | 24039/? [3:48:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 24040; scene = ['3173dcf11b45695f', 'e4a14a5915332187', '0622c6096332a69a', '05d2b3e63f804182', '94b6bf83efdd3edd', '39044838f64d337e', 'be030509e218a0b9', 'd2c3b70420c6cfc6', 'db2ecb802aa71a3a', '0b5f0a8b0d0c2956', '01f39d13bb99269a', '2d6e292fc429fda1', 'af19ab9142e2bc9a', '63d40a39f3452fbe', 'f52052af294fdb8d', 'a1492834cf50d376']; context = [[176, 236], [31, 78], [55, 107], [177, 219], [4, 53], [51, 114], [76, 121], [137, 174], [14, 76], [9, 54], [54, 96], [16, 76], [14, 61], [2, 57], [45, 84], [37, 93]]; loss = 0.029317 low_pass_filter = 0.300
+Epoch 0: | | 24049/? [3:48:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 24050; scene = ['e57e823e91ecadc1', 'ff6db2e6978774e3', 'bf80a0c4f9a745ec', '4ff236b2462faf59', '04de8393f28baf2f', '44c693695665aaa2', '9fd3290cb9824a73', 'a4f23e07467a01f6', 'c2289c708c7f0629', 'a9f37c71b1b5020d', '3490d69bb9b94e04', '709e2b69775f5c88', 'a20e94370bdfc580', '7f437dc9fea6612d', 'd782aeed17560ed2', '84b82a9506bd8483']; context = [[2, 63], [7, 60], [18, 78], [1, 65], [44, 106], [63, 100], [4, 50], [124, 164], [0, 56], [17, 58], [45, 99], [30, 82], [0, 37], [113, 162], [1, 46], [86, 130]]; loss = 0.026287 low_pass_filter = 0.300
+Epoch 0: | | 24059/? [3:48:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 24060; scene = ['d029278cfa60deff', '031f129ff5a92a4c', '0fdcf15c9429e174', '2f66a0b10f4cfdfd', 'be7a580fe9665300', '0e4c27f2c15deee3', 'c1a1b6cf6c638d5d', '768926bca273960c', 'd261d26a10a93975', 'fcf74e68c2678dda', 'c3bc207f4af7ad46', '6f72032f93d39fef', 'aaff3ba252aa4421', '3bb404adfcc380b0', '03d4ce90615f67c8', '66a04a4a5584e611']; context = [[22, 74], [2, 40], [88, 152], [13, 62], [16, 78], [28, 94], [2, 62], [32, 78], [6, 65], [30, 82], [31, 82], [41, 106], [47, 92], [16, 75], [109, 165], [113, 160]]; loss = 0.045556 low_pass_filter = 0.300
+Epoch 0: | | 24069/? [3:48:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 24070; scene = ['cb72c6bb904fde17', 'a1ff280651bb5e19', '5a94ceba79711c13', 'cf191fc42119779d', 'd824ca7f84872f21', 'c6e4fdb671358913', 'a31787ba3f42448b', 'b7e45d8a8f953221', '9598262787c89df9', '1c545caf1931d773', '070a222242536f42', '6ca4270fc9377c9a', '529d61d09bec94a1', '0586a78aa1664230', 'a7fcd0af8ef3781d', 'c778cdae47e2ff13']; context = [[28, 75], [16, 68], [144, 209], [41, 82], [23, 77], [1, 39], [1, 43], [6, 66], [61, 115], [11, 67], [1, 58], [13, 50], [71, 113], [8, 64], [17, 64], [1, 38]]; loss = 0.024478 low_pass_filter = 0.300
+Epoch 0: | | 24079/? [3:48:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 24080; scene = ['6a979d335c1f69e8', '84e4a70283bc8836', '717f2ec498319bd2', '43715c109fe873c0', 'a21fe9049dd4f031', '299dcb99c47bc017', '62de473c850d20da', '3b904c75121b50d6', 'dc8a0bd69271e29d', '1bb32d47bab4d0dc', '0a683a595f574a3e', '7ba0f68640ce9c8e', '412977eaf3f723d3', '1be5aeafa693a55f', '067465f3c21db874', '463e2b4db1450630']; context = [[0, 44], [24, 77], [6, 72], [26, 64], [37, 93], [1, 41], [100, 158], [1, 60], [5, 50], [32, 71], [135, 196], [7, 54], [79, 121], [225, 276], [7, 71], [167, 233]]; loss = 0.027183 low_pass_filter = 0.300
+Epoch 0: | | 24089/? [3:48:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 24090; scene = ['acdd744d7e7b4013', 'e90142433a6207a4', '27f37406fe96b739', '04aa3009488aa639', '09b119527170cd6f', '408a7c1b8fd8d5a1', 'd4f271dbd5fa263b', 'c69a920bfc53e58d', '81dd5d4e158301b9', '5c76d38937c600b1', '3678eda4b6306e23', 'f9a728faa63a1d3b', 'f1a2a1855da568fe', 'fd79bc222f3d215f', '38f4d6848424acfc', '2aacf3b31d7ddb30']; context = [[61, 106], [1, 64], [48, 93], [31, 68], [128, 182], [24, 75], [0, 52], [13, 54], [33, 93], [28, 86], [13, 54], [9, 60], [30, 67], [65, 127], [30, 69], [6, 56]]; loss = 0.028289 low_pass_filter = 0.300
+Epoch 0: | | 24099/? [3:48:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 24100; scene = ['25d01adc0dba1ce1', '242a6bb6504da60b', '5d69e869219fef05', '571c726d284c5fef', '61e58c0e1e989379', '43f5a800c0b89a68', '9c61e0481dbe1643', '0e2268381b97888e', 'fae84f9901505e34', 'e7db8f8b988dc249', 'e1d4b9c7b39aa748', '6e227c266fdbe6be', 'fc9d80ae4b6f4319', 'f801f07cadabddfb', '60fb060caf4e0c64', '4889794e0a6b1495']; context = [[63, 111], [12, 57], [75, 130], [56, 103], [114, 175], [6, 71], [113, 155], [183, 229], [13, 72], [21, 65], [128, 186], [25, 72], [0, 39], [1, 54], [106, 147], [29, 95]]; loss = 0.023154 low_pass_filter = 0.300
+Epoch 0: | | 24109/? [3:48:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 24110; scene = ['232e85250de4fc24', '304188462e3d3219', 'cee0290238ec48ae', 'dc4ca047ad86ad9b', '7c8d84ba7289a65f', 'b7e386ba9ef4dac3', '45061041e453e182', '4f31d4577d06a270', '05c1700c09437b52', '04db935b17a03775', 'a26b34b70b0aabcf', 'e4284ea25d47d0e6', 'b38df35ba9835cf0', '6adf75bc6d45fed7', '74ff55f4ab8a28ed', 'c58fade4e0d7d3ef']; context = [[32, 74], [23, 64], [5, 42], [125, 181], [33, 99], [95, 138], [89, 137], [6, 62], [59, 107], [5, 62], [62, 105], [102, 147], [35, 79], [85, 143], [7, 67], [54, 112]]; loss = 0.027598 low_pass_filter = 0.300
+Epoch 0: | | 24119/? [3:48:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 24120; scene = ['e7502de958354176', '40006adec86cdcc2', '503c9940f2fbca1e', 'd77406fa7f3b9835', '950df50263df8522', 'bd4700646e17b05f', '29f922dcbbf6e882', '4b94c03307031f70', '603cf62aff2f71c6', '003977c5456b561e', '6e58ea1e0f80b318', 'c75b763b30ccee6c', '4ed1f85c32d21a00', '101d8b04b3837471', '218e5769692aecdf', '76f8be7e88d50aa4']; context = [[37, 86], [112, 155], [36, 86], [5, 43], [201, 254], [51, 112], [64, 127], [2, 49], [1, 39], [35, 98], [173, 238], [18, 58], [58, 113], [14, 59], [120, 184], [135, 200]]; loss = 0.031960 low_pass_filter = 0.300
+Epoch 0: | | 24129/? [3:48:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 24130; scene = ['0e10db62c44b48ba', '964a7d0c80ea431f', '11112d5aeab31689', '4d6a1bf4c39100f7', '4722c8deb063edf6', '0c7d36ad5763c797', 'd49c1d10428b3d70', '5387ea1020469345', '6a40b490a091c77b', '1182d7d1c0cbff1e', '3307278c57b32d21', '3d48789267dda573', '9a3cd88e7992e094', '03aeb7cc51b34332', 'c2b4c2d376a4a2bb', '518b5b152dbe9bed']; context = [[86, 131], [143, 191], [14, 52], [8, 48], [129, 180], [55, 105], [76, 128], [1, 41], [20, 75], [22, 78], [32, 81], [133, 173], [32, 86], [23, 84], [6, 45], [125, 180]]; loss = 0.022244 low_pass_filter = 0.300
+Epoch 0: | | 24139/? [3:49:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 24140; scene = ['a18b5e5cff3d2ed7', '84a677850a497c1b', '2a969cee05781858', 'b6505a16a99fc05d', '146f7025acd4ae32', '763d75d516920a3f', '533d7e15bdc275ad', '0ab2ee95193dca6d', 'dbfa4a019a577df0', '3722e45b5966fc7f', '559d1c71c237ed63', '91d197f925891f41', 'c3914b367617df25', 'c73ba4e9b8857f86', 'f775386efb45738a', '751c329e576944d8']; context = [[59, 121], [15, 70], [174, 240], [62, 110], [143, 187], [7, 50], [0, 66], [18, 58], [24, 85], [72, 121], [23, 85], [9, 64], [8, 58], [163, 227], [23, 75], [36, 78]]; loss = 0.027188 low_pass_filter = 0.300
+Epoch 0: | | 24149/? [3:49:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 24150; scene = ['4994aabf6ecddf13', '3f42e06ced17f8a2', 'ed9d715df2eed57d', '8b980fb43382ce10', '483662df1f507119', '760c626fa583ca58', '4537957ef30176c2', '03fbcd2f324b9946', '1c84e33ec928d7a3', 'd9dce3382830aea6', 'd437beb1a01fabf2', '62ff792e124c30c3', 'a7a79393e5bb8108', '6cee8362ee57a4c7', '7ebd83e1c25311ce', '8fed29af74002491']; context = [[1, 50], [1, 43], [53, 112], [19, 83], [0, 60], [8, 72], [50, 114], [5, 42], [11, 66], [14, 62], [31, 93], [13, 54], [117, 171], [45, 100], [17, 58], [42, 102]]; loss = 0.028713 low_pass_filter = 0.300
+Epoch 0: | | 24159/? [3:49:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 24160; scene = ['a32fc3de0b32b930', '0eaec5ae110ae727', 'ee6b9ef2d2ea8772', 'cfa669d1520d3599', '6a3752b1792ce8af', '9b8641a671477a0b', 'f8b1b1dee0f06037', 'e07b8e5f6e9fef91', '992f1f0a1f9a6047', 'db03a39f685c9f43', '3f4ca1ecea630686', 'a5812ef0bb0bc156', '374db1b7332138aa', 'ce72473f822a7431', '1c06424538dd9ee5', '4c3e1a9242e4bb83']; context = [[15, 69], [12, 58], [102, 149], [36, 77], [71, 133], [30, 96], [30, 87], [31, 89], [10, 72], [2, 54], [21, 85], [0, 58], [89, 127], [83, 128], [1, 38], [159, 208]]; loss = 0.029279 low_pass_filter = 0.300
+Epoch 0: | | 24169/? [3:49:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 24170; scene = ['4ab2f8367e37a730', '5fc58233c894f917', 'be78b445daa29b6b', '82513f328f3249f6', '8fe5fd9e06ca3c9e', 'bb7fb00560d88234', '004f7056eddd68b8', 'a74f43b16ad90fbf', '72f41340c3506abe', 'c3bafca269ab8b48', 'e8f4103470bffeec', '7f19946005cbe8f0', '253ad0422954892f', '998802a48c76fd37', '6989116a3baf6c4c', 'ccc8fb6694c05156']; context = [[87, 145], [198, 236], [17, 69], [6, 44], [11, 52], [25, 74], [73, 128], [119, 179], [21, 72], [39, 95], [19, 75], [5, 69], [0, 42], [74, 124], [35, 90], [70, 112]]; loss = 0.030322 low_pass_filter = 0.300
+Epoch 0: | | 24179/? [3:49:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 24180; scene = ['3a5198b65dbb885d', '7312029bb0d183d8', 'ad1ad6648a30592c', '352ea39555d2784c', '7e66af8c0e89ae25', 'e1cafceb24432d44', 'e512c4632c5fd221', '84755f2c302bf61a', '3f89af6eab33d00b', '1de4b62d250a54ff', 'b599da50d37c20a8', 'f427626eef7d023e', '9a023c2ffb17bd15', '67c10f315065cdf1', 'e6d5c31e345f622d', '9105a2228767887b']; context = [[13, 68], [1, 65], [33, 96], [65, 112], [0, 43], [18, 62], [49, 89], [32, 79], [16, 69], [20, 70], [73, 130], [17, 83], [167, 206], [15, 77], [5, 63], [0, 45]]; loss = 0.029438 low_pass_filter = 0.300
+Epoch 0: | | 24189/? [3:49:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 24190; scene = ['ddba8b26d038c9bd', '6c6ece22d9698576', '766a9f7c71d87d44', '5e0539538d66bbc1', 'c663eca13c6fabb1', '8cd39b3cd14c6411', '2fed64c174f5f350', 'bdc2a346d6dbf88e', '899009619dae69df', '59690259eb3ec278', 'cafa46fa5b5d16cf', 'fa207cf6631c52b7', 'f891469660dca930', 'b4e1e88264f8183e', '0851113d43080614', '6a6aa6dcb1f34b33']; context = [[25, 65], [58, 105], [58, 112], [31, 91], [10, 71], [0, 61], [8, 68], [13, 65], [6, 52], [5, 49], [1, 41], [63, 101], [118, 155], [87, 152], [12, 70], [147, 213]]; loss = 0.038290 low_pass_filter = 0.300
+Epoch 0: | | 24199/? [3:49:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 24200; scene = ['66c9da321fec37e3', '6211cc59826a08c6', '1235f358f02dac9b', '0421d47aa21b434e', '870061830cde2de8', '2371de80f56e9707', 'bc933b61d3c00879', '49d7417d2f74b2e2', '7af65f2a557b7cfc', '7caf9a683e5004e1', '46fde3a67644e92a', 'a75db3b700245f5a', '91f3903b83e314c9', 'ca842b977ede6e8e', '19d2cf167593bdb1', 'db1fc015ca238790']; context = [[90, 148], [133, 182], [226, 270], [103, 141], [2, 62], [10, 48], [169, 226], [148, 214], [1, 49], [39, 95], [4, 44], [41, 96], [15, 81], [5, 46], [18, 64], [44, 98]]; loss = 0.026806 low_pass_filter = 0.300
+Epoch 0: | | 24209/? [3:49:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 24210; scene = ['591cd9d079cd7842', '34190d68a1b448c2', '58ae98561b032336', 'fc86266e2fcb72fd', 'f50fd819e21ae7d8', 'd57339d1dfa8156c', '8fe341dcd0880bd5', '27f6d11c24c5ff05', 'bbef35c557166ae6', 'c7620995ebe9c4e6', 'b2e8a9bd957dcd52', '4976860ffb8e6b02', 'a51524fc71a1feb8', 'bc3940f8920de711', 'e83b355a8e28b49f', '45799f873cc35e6f']; context = [[3, 48], [25, 63], [34, 99], [27, 93], [71, 127], [38, 82], [93, 152], [43, 109], [19, 65], [16, 75], [13, 52], [28, 71], [156, 214], [1, 50], [12, 67], [6, 49]]; loss = 0.025539 low_pass_filter = 0.300
+Epoch 0: | | 24219/? [3:49:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 24220; scene = ['c6cf5bc481b73149', '80988c00e7f5d21a', 'e1708ac5f3c9a691', '94b4b22fc9ba462f', '640b9d9d37478538', 'ea194ae39cc728a0', '68a7c9ea97d37b45', '59b9ed5329423df9', '9a03f1ebe4d8e11f', '29c107478a356315', '9a1d44db3a25db6e', 'b3263bb9262606c2', 'fbe8be1f434b7471', '86ad7073445c5301', '1147f33298fe1164', '3dbcad1eebd8c8a7']; context = [[46, 105], [94, 137], [31, 72], [46, 94], [6, 62], [1, 43], [63, 112], [27, 71], [48, 86], [55, 115], [57, 120], [74, 117], [13, 56], [19, 66], [106, 163], [42, 89]]; loss = 0.027332 low_pass_filter = 0.300
+Epoch 0: | | 24229/? [3:49:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 24230; scene = ['583731a36ed85338', '8ec25a24042d4061', '2337d2c8ed62f62a', 'd3b11ecdf9a56141', 'a5c4b8df91f1567f', 'df538baac0ae8b3d', '1ab1fedaf04d995e', '04141e7311b5b776', '40d8ab238f652221', '53de9a4e07e66c31', '826bfb24e4dcb24d', 'f5aeb9de1e33fe73', '41bde7bd3b983de7', '63f813f5e1da9722', '37d93c641d86ab49', 'f3133558a4b75863']; context = [[36, 84], [1, 42], [159, 209], [105, 145], [19, 58], [116, 164], [3, 62], [6, 58], [10, 57], [23, 86], [179, 218], [2, 60], [41, 99], [12, 67], [72, 132], [34, 77]]; loss = 0.027029 low_pass_filter = 0.300
+Epoch 0: | | 24239/? [3:49:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 24240; scene = ['5467f445ba3f52b7', '33b0c1943b5521bd', 'e77aa644133c2577', '7669e97d364f029a', '4105f8cb0d05cdb7', 'd72511cb9e41d03d', '6e8dae6bdfab4885', 'c6eb58835445b87a', '54190bcf73f4eedf', '5222beadb503d49a', '3b0773ad88f66cb8', '575b15967a383d40', '5df48aeba173d6a3', '299452d01e7e3684', '3ed2bee6a3080b18', '04887b0875f7e718']; context = [[11, 71], [9, 53], [105, 151], [9, 57], [29, 91], [31, 95], [19, 72], [48, 87], [22, 70], [133, 191], [109, 169], [27, 71], [36, 90], [14, 51], [1, 40], [77, 134]]; loss = 0.024935 low_pass_filter = 0.300
+Epoch 0: | | 24249/? [3:50:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 24250; scene = ['83dee72aa5e820ce', '249ad28e5fa1245a', '145c5ec5819526af', 'ab52e9612e7a4eab', '3700d0ae62ced4af', 'b8dc72a859facb4b', '8a6f6565aa136bfd', '98765b730c2dec17', 'abe30f78eedbc519', '80c0d9e23ff5c4d0', '564a8cb026ae12e1', '49328b9c29331060', '7813fb5636484cd3', '7ab30ef220195ce1', '9b7a094854896bc8', '28478600e3b81375']; context = [[46, 87], [1, 38], [24, 78], [109, 148], [48, 91], [56, 114], [184, 242], [23, 64], [26, 81], [40, 85], [2, 56], [59, 101], [11, 52], [44, 110], [168, 225], [0, 38]]; loss = 0.023254 low_pass_filter = 0.300
+Epoch 0: | | 24259/? [3:50:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 24260; scene = ['7517d3bb59f2a3f9', '55eb4c5f38e2129c', '2f4de674cef4b745', 'e7bfd263ace09454', 'c88338c9d91fa766', '4df26a05670de190', '89d9ee9f99fd55df', '5f33a3cefc16a608', '2d6e5b8046acc8e9', 'ede816a29cb7f0f1', '004a40da569ee807', 'da2b6199a9135d43', 'b020cec718b2a496', '47a8853f48974faf', 'c12b4b8fce580e89', '87fa399fdd73af24']; context = [[77, 131], [36, 97], [13, 50], [80, 132], [71, 136], [9, 57], [207, 259], [12, 57], [80, 143], [205, 244], [21, 78], [126, 170], [1, 65], [24, 65], [101, 154], [6, 47]]; loss = 0.025618 low_pass_filter = 0.300
+Epoch 0: | | 24269/? [3:50:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 24270; scene = ['2e8d7c7897b54d07', '27e25582bc09a0de', 'b36e08c9639805a6', 'a3c9ffcea941f481', 'c51d0c23240a5ad8', '697e5db37b8f4789', 'c26c2e3257c2d464', '7e976bc0f1d6a254', '51510fbef3b39cc1', '5cc3dfa3b3807082', '9d877d6efc311dd0', 'c12354c83d4cb636', '9ec896ca8523566c', 'a086f1603f3f84fc', '4ad025cbff80faa0', '78ff0866d09b782e']; context = [[146, 186], [49, 86], [32, 91], [100, 153], [177, 215], [116, 157], [180, 226], [20, 70], [0, 41], [7, 70], [4, 52], [1, 57], [19, 78], [46, 96], [145, 205], [91, 139]]; loss = 0.029475 low_pass_filter = 0.300
+Epoch 0: | | 24279/? [3:50:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 24280; scene = ['06f89770ac98c0bc', '17207c6d01e581aa', '18c331ce99f35768', 'a1955529ad4d0bfc', 'ea75a24310baa880', 'f5a5531ff428e472', '2ef0d0332158065c', '4f8f147aa57d41b5', '170b4b62ccec39ac', '220cb02a56df8409', 'fefe78a1afa08739', '69c9408ad6a92739', '61b37a9ddf06ebeb', '343f2c2d3fd75fb7', '178f82d5c641b3c0', '70e43f19fe209071']; context = [[6, 73], [1, 59], [31, 90], [14, 57], [6, 54], [7, 64], [209, 274], [20, 61], [55, 96], [23, 86], [51, 88], [78, 126], [18, 81], [138, 193], [31, 79], [23, 70]]; loss = 0.026213 low_pass_filter = 0.300
+Epoch 0: | | 24289/? [3:50:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 24290; scene = ['ca0d07682836a687', 'edc83e7b7f29783d', 'f2b206d102455492', 'b48a74d5897225b7', '1ef4450999f0e6a8', '55f1013e8571c494', 'f588ea739564c96a', '163b00dcf34c2a6e', 'a0aa55abb59b70e2', 'c8557da11d7874e0', 'aaeda995507b804d', '091fdc7a25e6f6bb', '17d0ebb4232549dd', 'f36581e435eb92a5', '3ec63a7f8feaee08', 'bb95992ebf558470']; context = [[66, 132], [41, 104], [27, 90], [12, 58], [44, 99], [20, 59], [49, 108], [7, 44], [36, 97], [16, 61], [20, 69], [162, 220], [10, 73], [8, 51], [51, 103], [9, 64]]; loss = 0.027677 low_pass_filter = 0.300
+Epoch 0: | | 24299/? [3:50:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 24300; scene = ['185dd19a374374ee', 'b4ad9523e2d5d1b6', '98b704ffc9ad975b', 'efe68758a4f58ec2', 'cc0312fce0eb4810', '2ecfe92d63af8e8c', 'c0d7c010544c5256', 'ab9bdef51c74535a', '3c2046c344fb8daa', '85719f352ee0c48f', '409f79107bf87d9a', 'd8fa74c9de7810d9', 'd244e00302839aa1', '523c8d9edc5b09cd', '0b9517e1c9fa61dd', '8b09c84f1ccbb970']; context = [[0, 51], [18, 69], [7, 59], [38, 82], [14, 56], [2, 49], [12, 58], [7, 57], [11, 58], [40, 83], [51, 118], [30, 91], [18, 57], [58, 124], [28, 87], [43, 107]]; loss = 0.028652 low_pass_filter = 0.300
+Epoch 0: | | 24309/? [3:50:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 24310; scene = ['bfa9042d0f35d6df', 'ecd91cb5b8acbad9', '37f5c9bd33e92d4d', '30878b54736367da', 'c520e25d5bd303ec', '7ce59b93cd4d98ac', '1e55d866b0335343', '69a31234f2d534f3', '63d30096d9447949', 'afd894a4b5460a20', '21122af05bb14a08', '3eba2babc6d32260', '06d059c778425778', '1ba3ae46eda9f013', 'd82d41749c3d8e11', 'f6dd643a4e792839']; context = [[2, 52], [46, 104], [192, 249], [27, 88], [21, 83], [124, 173], [207, 258], [0, 65], [42, 104], [40, 80], [8, 72], [10, 64], [41, 82], [18, 67], [14, 78], [4, 46]]; loss = 0.031698 low_pass_filter = 0.300
+Epoch 0: | | 24319/? [3:50:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 24320; scene = ['66bdca6d2d18a969', 'b3c0809819dde91f', 'd4cac1ead89742e6', 'b07850da36ee6d48', 'a9ffa32973bd4581', '88af5684bdc239d0', 'a690352549316d80', '1f44e8ba6f9ec746', 'bf716d89d4fa9e50', '584493d7bc09ccb4', 'e5f7a6ac3ae2f34d', 'db4b14c9bc399d19', '6564e787f68e8472', 'feac8b784fcd5592', '679057d0e2febf0a', 'aaacce7a4a7c9725']; context = [[108, 171], [15, 78], [28, 71], [0, 56], [76, 119], [73, 132], [26, 75], [57, 104], [8, 47], [215, 268], [6, 61], [2, 59], [87, 131], [2, 65], [8, 48], [105, 152]]; loss = 0.026264 low_pass_filter = 0.300
+Epoch 0: | | 24329/? [3:50:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 24330; scene = ['78c5c861417f0d20', '4bdb75340d42d415', '294bfa0dd8a9eada', 'b82e83463bf4475d', '4d347b9ec45c4a8a', '0e72268501544770', '454ec1076e5c68b2', '1c5523bd8867d068', '95387090e0043daf', '55ea566a0298d91f', 'c154a6957de15e6a', 'c77a808062342099', 'd2eaa5c3772c2ba0', 'd39f9e760c65086e', '3fbcf1abe6d59580', 'e242cd9849c42fe7']; context = [[23, 72], [37, 81], [43, 107], [87, 134], [2, 69], [46, 93], [47, 86], [0, 38], [33, 84], [4, 66], [2, 51], [74, 135], [59, 106], [46, 98], [85, 125], [63, 112]]; loss = 0.029491 low_pass_filter = 0.300
+Epoch 0: | | 24339/? [3:50:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 24340; scene = ['c2d40b68043e98d5', 'b97b452e2887463e', 'd70de8275a779d95', '3a7dcacc482c931f', 'bed32aee0050abd0', 'ae7c80a778d247b0', 'fa17a491863c5475', '3806cc2e286a8592', '523c819329683e4c', '621342756f23f5f7', 'b3761fc33d30572a', '3fb230c591c1ba92', '0611543dfbc64bc2', 'c78a86f98b10dc29', '43297e0c74c63a14', '8da7e70d5a88d1ef']; context = [[67, 106], [13, 64], [26, 81], [44, 105], [22, 73], [8, 66], [61, 128], [77, 121], [86, 131], [12, 77], [22, 69], [1, 68], [3, 66], [0, 45], [114, 161], [49, 97]]; loss = 0.046249 low_pass_filter = 0.300
+Epoch 0: | | 24349/? [3:51:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 24350; scene = ['56dc189334276835', '139dd6dc64abdf0d', '581461d8b3991cc8', 'e8128c97ff255dce', '4b1409aed425c619', '0cde2ea2863d331a', '4e22006021f75435', 'f89505d66a282673', 'd58a26d24f2776b2', '9b4b55d49b0d6c6f', '63ec3dfd04ee6970', '1c1838ca17ba6546', 'f3bc1a6ad7acbc5f', '5977ebfe3fb13dc1', 'f52133a15e87c234', 'e3ea7aa03b61d5d9']; context = [[65, 113], [29, 75], [84, 124], [78, 127], [34, 73], [13, 53], [16, 71], [16, 72], [199, 258], [16, 59], [29, 72], [65, 118], [0, 65], [6, 48], [20, 80], [11, 51]]; loss = 0.024061 low_pass_filter = 0.300
+Epoch 0: | | 24359/? [3:51:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 24360; scene = ['c4e0fdda08b99d05', 'd4c667d40e23cf54', '2ceb6c5a7b8e7d52', '33ca3e6340fd8250', '9328af3177adc783', '3c6e138710fa52e1', '95eac29b72dbc79a', '0f3f75855f29f30f', 'c1cad7540b667a53', 'e5036ebafb2c7a4f', '6adb937f72020aa9', 'ace3b09a2a2be08b', '0a6608f992d052c9', '1f25aecc650a6852', 'e02bb6e43f5c3de3', '71210766ebea65a0']; context = [[25, 83], [0, 61], [33, 100], [41, 102], [11, 60], [10, 69], [120, 175], [59, 99], [47, 94], [6, 48], [72, 117], [227, 264], [93, 135], [33, 73], [8, 55], [2, 45]]; loss = 0.024832 low_pass_filter = 0.300
+Epoch 0: | | 24369/? [3:51:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 24370; scene = ['cb2e7c525b2a06bb', '3bca29d56784093e', 'f9195769208f3b78', '5b96b7d7f025099d', 'bfb5ae7e0ff35145', 'e1fd9e5d95847128', '37dd0ba05e0603b7', '8d477bf98d12daf9', 'f8d7a15647c40d7e', '7fd96332695379c4', '1d0b10cbbff05450', '4e8f9334e2eef69a', '65d23bc2670a9541', '1bc88fc26a0693d9', '998b0da0bf77d594', '1e7dd85214355c28']; context = [[15, 62], [99, 141], [206, 270], [9, 72], [72, 118], [28, 94], [110, 167], [106, 148], [17, 57], [40, 85], [203, 249], [43, 96], [12, 69], [9, 50], [0, 61], [2, 44]]; loss = 0.029797 low_pass_filter = 0.300
+Epoch 0: | | 24379/? [3:51:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000train step 24380; scene = ['fd2c850e3620104a', '08795007f7dbe014', '32a01427f04b7038', 'd324f36129c89fa7', '7623ff6b4eaf4cbd', '463338d27813b202', 'e8e115464fbe84ca', '742400ae02982a58', '970d8b8f32b657c7', '5b24cc641fd8e56a', '91188f3f75824ae6', '11a27e05ba012c36', 'd89dccefb162fa07', '15af009b55f7368c', 'ed686303487b34dd', 'b927257619ef466b']; context = [[27, 79], [184, 228], [75, 122], [59, 102], [147, 195], [7, 74], [41, 86], [4, 65], [40, 91], [58, 104], [94, 144], [8, 61], [9, 61], [1, 41], [67, 124], [98, 163]]; loss = 0.026539 low_pass_filter = 0.300
+Epoch 0: | | 24389/? [3:51:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 24390; scene = ['b65e6eadba27a4d4', '2c484e9510a83538', 'fa4402c07b3c6865', '20475261b8d3418d', 'be6ea47fd801555e', '0b0d341a11dc6871', 'd875f996331712c3', 'a6262cc30cd10451', '11323607c1d04845', '43c939b11c5fed4a', '5055bcc3bc958a3f', '0d094a1d96c9c1e5', 'ffc9f97d4d05e733', '09d8a76ab82bd1c8', '867edbda9bb8ef59', 'bcfff341d1aff83d']; context = [[6, 50], [18, 55], [19, 68], [23, 64], [8, 68], [0, 52], [0, 37], [73, 134], [1, 60], [26, 77], [145, 182], [9, 76], [117, 154], [29, 85], [43, 106], [0, 63]]; loss = 0.027112 low_pass_filter = 0.300
+Epoch 0: | | 24399/? [3:51:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 24400; scene = ['93c939536009ef08', 'd499555530abbd75', '65d4260ce295d5bf', '2c18808cab98b68c', 'b188c7df65c1a4b1', '7c939110807b8ab8', '7ae4c64c2170e4b8', '3a9faf85e0d38a31', '0d8fbb7a2a990b2c', '25b85d674899f82c', 'b6ebb6d3f42b4068', 'c0602efb220e03ee', 'fd676b929a21aeb7', '546fc1cd696d81f1', '085f19c63c2fd05b', 'aec1f5de5391a65b']; context = [[156, 197], [176, 215], [24, 90], [82, 126], [61, 112], [211, 266], [42, 83], [5, 54], [22, 76], [36, 81], [62, 122], [21, 78], [50, 110], [5, 66], [15, 72], [191, 239]]; loss = 0.027132 low_pass_filter = 0.300
+Epoch 0: | | 24409/? [3:51:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 24410; scene = ['82e02b2137ab99c5', 'b0a7c8eb6675bcad', '242841ee74265123', '4738c57794aa47f8', 'd548d549d85db5e8', '4797e813ea4a5ed2', 'b9b2b65f59998894', 'aa1422feefda8499', 'b77f68b6747f4859', 'd0c0d78936b6e5ce', '06f1f44839e7eea2', 'bdc692b9ee710d58', 'b285bf927275db22', '9f557ea23b237b5d', '0664d28ff022567f', 'dc48fb4d76502068']; context = [[96, 134], [14, 69], [59, 103], [21, 84], [130, 186], [93, 160], [88, 155], [129, 170], [4, 43], [13, 71], [99, 149], [97, 155], [79, 141], [75, 140], [29, 73], [30, 69]]; loss = 0.025213 low_pass_filter = 0.300
+Epoch 0: | | 24419/? [3:51:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 24420; scene = ['ba3b89572ec36129', 'b8bdfadb8f643024', '31907a6ebec6ef2e', 'c8e92789f25baec1', '5e8442ca745fd217', '4beafa1c85a14698', '9d682af42dd7d886', '8c2bbeac9417065f', '9012dcef99974756', '2ee23f8203b533b4', '02bb7b7e42bf32cd', '674f584b6f09a890', 'f0fb71e87e8675d2', '4d5b55c12c0028dd', '82173fff18851e0a', 'a1001a4df99e557a']; context = [[14, 67], [5, 56], [137, 183], [174, 238], [27, 68], [7, 55], [10, 60], [2, 60], [6, 61], [146, 196], [19, 77], [22, 76], [10, 65], [20, 64], [51, 105], [2, 57]]; loss = 0.032705 low_pass_filter = 0.300
+Epoch 0: | | 24429/? [3:51:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 24430; scene = ['4bcd7cbb7a1397de', 'c3af30eccbfd3e19', '009ded7e45b6d15f', '5b195bc1030ac237', 'bc658fe0b4f75140', '99577030a38ef264', 'bb3914c6e9a2cca3', '9eeb527fbe6dc6e0', 'b79c18c793f776f3', '09854e27eba8832e', 'f48f5c3ac0286b9e', '6e31b2bf905c639c', '622a80e8c63bea26', '2e36d73dd9237db0', 'e86e6458a4b77118', '37ce47d9ebfb29a9']; context = [[18, 85], [26, 86], [61, 105], [30, 85], [5, 57], [52, 91], [0, 67], [36, 80], [2, 54], [38, 78], [67, 114], [30, 77], [10, 75], [103, 164], [137, 179], [67, 106]]; loss = 0.028003 low_pass_filter = 0.300
+Epoch 0: | | 24439/? [3:51:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 24440; scene = ['4b6052c5b5512c05', 'db557bfc1ffee066', 'a4c1fe839c7b6b5f', '3bf7857bb7d748c9', 'b6dc677eb037b7ba', 'f9a30d24e405a37e', 'a687e1016df6494c', 'eaf6edde08f1628b', '0bb7fd06010a6679', 'd669efadc5cc98d6', '7e21932901718a57', 'f0d00e37316b2cca', '7c8ec1f892f1f28f', '7abf846b4cebab8d', 'd82d56dae0f3a41e', '86f7033244bf67af']; context = [[202, 261], [11, 54], [37, 90], [41, 86], [22, 84], [69, 113], [5, 50], [34, 101], [5, 64], [74, 140], [4, 45], [2, 64], [2, 54], [169, 214], [135, 187], [0, 52]]; loss = 0.031095 low_pass_filter = 0.300
+Epoch 0: | | 24449/? [3:51:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 24450; scene = ['86713b2ff209a590', '7f6a3a9c5cb0aa56', '503c9940f2fbca1e', '40006adec86cdcc2', 'b4ee79056f9b7011', '950df50263df8522', 'bd4700646e17b05f', '0fe1eb655b38870e', '2e009384920ac153', '29f922dcbbf6e882', 'd77406fa7f3b9835', 'e7502de958354176', 'a484d8e3b6b3b458', 'd8977adc58cb42ab', '06ee53fc9282ed3d', 'faf7fd76a271d419']; context = [[5, 55], [18, 71], [27, 72], [121, 172], [1, 49], [141, 185], [110, 155], [74, 123], [77, 115], [90, 131], [2, 44], [19, 73], [17, 76], [84, 128], [36, 95], [55, 111]]; loss = 0.028167 low_pass_filter = 0.300
+Epoch 0: | | 24459/? [3:52:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 24460; scene = ['4364c3b9403ffd96', '0476107845eb67e9', '07ad3c9e67f8bf95', 'c49afcdb61153e2a', 'a97842b559fa0582', '04ce6d1f0f049069', 'd92ac4b209fa63a7', '801df40f6493d352', '438c7699dda81671', '27d7650462d5f41e', '8df3badfb21130d2', 'a2f4df0f4041193e', '5070ea042c65de0d', '4bef3ad018822489', '208b5060a974d802', 'b072d5e75e95e9cd']; context = [[12, 51], [88, 133], [33, 78], [64, 107], [12, 65], [41, 84], [8, 48], [59, 126], [12, 66], [111, 152], [39, 87], [151, 217], [14, 79], [10, 60], [1, 54], [10, 56]]; loss = 0.049164 low_pass_filter = 0.300
+Epoch 0: | | 24469/? [3:52:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 24470; scene = ['7776d22b2a8132b6', '369ef2ae4cb58ae5', '6972d0b239803088', 'a45f1ef7f8a26bc9', '3de36eca0531b5e5', '08362ea89cc94616', '37934ab378545cbd', '009f5248262f70e0', 'e71dfa0818466743', '92a71ca61a77d2d6', '6e371f54140af211', '9b31c4820fa50473', '27d2477442b9d199', '7c317155a37b32b1', '4317f2b8b541e154', '7cf0b2b224cdffc9']; context = [[62, 114], [46, 100], [101, 147], [15, 70], [61, 99], [137, 178], [36, 90], [8, 58], [17, 74], [15, 80], [10, 70], [4, 46], [38, 91], [22, 80], [9, 52], [35, 86]]; loss = 0.026927 low_pass_filter = 0.300
+Epoch 0: | | 24479/? [3:52:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 24480; scene = ['1d8f8faa8a7ec751', '600f168a8eabe775', '9c68a8a0af17b921', 'dba0052f9fa2b5ff', '195abcbfc1760043', '673c9f1a868c7d0b', '6fd38f4a383eb920', 'e910ae6aa6f7ff6f', '6a3cee5a0ca00425', 'b91749559c4f1404', 'bf59bf109ae484d9', '5df6b46fb9668298', 'bcd6a8f9e95c390d', 'fa2cba4c57934de0', 'a463d86f7351eb8a', '4e2ed8b2b55d9631']; context = [[0, 51], [17, 56], [27, 91], [7, 45], [142, 198], [7, 49], [102, 167], [51, 108], [85, 135], [2, 42], [1, 61], [2, 56], [67, 128], [4, 67], [10, 71], [4, 42]]; loss = 0.023981 low_pass_filter = 0.300
+Epoch 0: | | 24489/? [3:52:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 24490; scene = ['a56410296c4762f7', '9e3c241e9f50165d', 'd353f6546d670569', '5d5ed476cfeed088', 'cffe7db0efc86b6a', '832038b00ae58f1c', '7f84033b9d1f6a5d', '024713d50b2ab06b', '02d4d0c729448c3b', '592f02d9a81deedc', 'e9d11d18a0abff33', '063dc505e73135af', '92362c407ae31300', '9837661a38ea63e5', '23132b7df2da8457', 'f6ec5537c276e88d']; context = [[10, 63], [24, 78], [10, 63], [25, 88], [9, 48], [21, 73], [3, 55], [19, 79], [45, 94], [14, 74], [69, 114], [173, 213], [15, 64], [10, 68], [46, 107], [9, 49]]; loss = 0.026422 low_pass_filter = 0.300
+Epoch 0: | | 24499/? [3:52:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 24500; scene = ['84556fd53fab52bd', '62be828d9ba51471', 'ba2a2ce5a110fb53', 'fe3356c41851577a', 'e78f201e5bfc0742', 'a6b381f7e736bb58', '10f1c7cda244255d', '1e51a9a349931860', 'e2ca642f83d36d8c', '2035595ebba23bac', '96e0dd87c09dd1a8', '52b0ce9efb240e7f', '16be374e6f6d5d3d', '1c6c2f0ea25ac8aa', '1d8a2a494d7ae9e5', '1c7e0d9da743e0ff']; context = [[39, 103], [82, 122], [43, 88], [24, 89], [0, 46], [1, 42], [28, 70], [0, 51], [0, 55], [48, 110], [7, 53], [124, 166], [13, 57], [223, 269], [0, 38], [32, 76]]; loss = 0.027356 low_pass_filter = 0.300
+Epoch 0: | | 24509/? [3:52:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 24510; scene = ['41792d33faff0078', '61d1afca444f54d0', '9cb162f4d5462a69', '2842753b23031595', 'b09d1ab83491c9e8', '611e7445a2567f6c', '184f88882b243fb6', '430406c1e2815e24', '739668a2e4736e71', '3027e1f17f7891c8', '0b2c6745daa6b386', 'a53e86a301e2d2b9', '01cbdc2687833ad4', '770a3d6cc6eb482b', 'dacf32005e7ff429', 'b54e9392ea54baf1']; context = [[12, 53], [41, 104], [187, 240], [34, 77], [0, 41], [182, 231], [140, 204], [139, 180], [57, 123], [105, 154], [72, 134], [79, 127], [76, 137], [27, 65], [16, 70], [10, 70]]; loss = 0.024415 low_pass_filter = 0.300
+Epoch 0: | | 24519/? [3:52:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 24520; scene = ['711eaae87d76ac0e', 'a526a271a561bc23', 'a57c3d7a98497d6d', '95da46cc74bd865f', '0a3c48bdaf8771da', '96e650d88643f131', '7f332d591ca1980e', '21b43052b04845cb', 'c7af45d1166fe6cb', 'b24a35dc8884076b', '73b27f4f150327af', '5223b08ead451ba3', '57a51e1d7e1b80fe', '7bdeaa5ddcb319c8', '932af4bdfcb8093b', '6e1a2b5a4f427345']; context = [[14, 72], [18, 74], [3, 41], [9, 65], [41, 92], [17, 61], [4, 70], [6, 46], [41, 88], [37, 78], [29, 71], [131, 179], [0, 43], [18, 73], [162, 206], [11, 61]]; loss = 0.026657 low_pass_filter = 0.300
+Epoch 0: | | 24529/? [3:52:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 24530; scene = ['1d617d88d775e289', '0f7660ecfb5d694d', '76f7fdfccb16a0a6', '23d3cb34a508be1d', 'eabc0fbae64a3713', 'c029c78ef50cf73b', '560cd587d67521e0', 'c8655db71062b8e9', '0fc7eabb78854784', 'c4ad60212b208842', '00454b8bf9209de8', 'f43a67d03e2d1906', 'ab3e76a1cff1fde8', '46a01082844ae5ec', '469c7372835b7450', 'b729998f5b2508dd']; context = [[55, 112], [151, 212], [0, 52], [97, 154], [0, 50], [59, 122], [6, 73], [97, 147], [35, 82], [0, 48], [64, 120], [67, 130], [51, 93], [4, 61], [39, 93], [48, 112]]; loss = 0.025770 low_pass_filter = 0.300
+Epoch 0: | | 24539/? [3:52:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 24540; scene = ['57bd46c077290a52', 'cfe5980858473caa', '90eb0b4f9eaca4b4', 'f393eb028298b9e0', '6138a5a6ce20fc7c', '0150a2343dbfb3ba', '76f0af17017975ef', '453c9df8e4a96816', '86d35668ab8b30b4', '5a0df8c07e9a9fe9', '2eb5e99df3004bfd', '0d6e53a797be79b2', 'af4058a9e533f84f', 'ce120eeb3b3b4e73', 'a9c47c6038013d7c', '3cffbbab0d4fd5f2']; context = [[145, 197], [98, 141], [19, 80], [2, 57], [4, 63], [76, 131], [3, 69], [72, 132], [88, 136], [121, 182], [34, 83], [32, 77], [23, 73], [99, 154], [64, 118], [27, 80]]; loss = 0.029090 low_pass_filter = 0.300
+Epoch 0: | | 24549/? [3:52:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 24550; scene = ['fedac3f5aef8fd81', '9024684dd45d925a', '541ae18b8f936d11', 'e89204339a7669ef', '4bdef6c0c3e06ae5', 'a017b0cb12cc18ab', 'b75d90c65923526c', '3148978637e8f426', 'd5384f379810516c', '0d93e2b216166389', '0ce5edcc350904a8', 'b194d521d939fe38', '1881e13a88e87fc2', '1dab88f5a54ee41a', 'ec44c38dfa1244f4', 'cfc65d74b27399f6']; context = [[39, 77], [1, 67], [43, 81], [21, 71], [29, 91], [3, 58], [19, 84], [67, 123], [29, 78], [18, 84], [1, 40], [10, 73], [102, 160], [34, 96], [205, 271], [110, 161]]; loss = 0.027973 low_pass_filter = 0.300
+Epoch 0: | | 24559/? [3:52:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 24560; scene = ['09c7171529d82a2a', 'e41dad3f906ed87b', '2abadda3f12274a2', '2b08d88dc7851fcd', 'd44eb5d03836bfa8', 'dcf621e6a39c58b0', '1545821f510802e7', '1dd9a0ed267383c0', '81ee97f3eb44b898', '8604fb955c771d23', '254bab680a316f9b', '6726f4b1be3b02e0', '3e35d64c3de4d110', 'd850754e786fd50a', 'c13693eff6eb0796', '21441ce339017578']; context = [[4, 50], [71, 125], [7, 68], [86, 130], [0, 45], [46, 104], [16, 54], [4, 48], [21, 72], [65, 113], [20, 74], [1, 43], [103, 169], [38, 81], [31, 90], [134, 182]]; loss = 0.023805 low_pass_filter = 0.300
+Epoch 0: | | 24569/? [3:53:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 24570; scene = ['aa1de687b9ca8b3a', '5195d6199756de8b', 'abe6335b937ba7c6', '88dcb5cdf83eef5c', 'bf0c5cb654dd1e0b', '452bec637695fb61', '969e0fb4ea498d2a', 'a56927ac0e84b487', '43133ee21899e29b', '91a5dc05e579c726', '700ac3a4e337c355', '9e4bbe87809330fc', '44cb993e19c042ab', '01a8f17430811e07', '041e80ca1179ed69', '744157d1a5f49792']; context = [[10, 59], [60, 116], [131, 176], [6, 65], [54, 117], [5, 44], [3, 44], [16, 55], [52, 98], [10, 58], [1, 39], [16, 63], [31, 87], [11, 52], [2, 66], [0, 50]]; loss = 0.025725 low_pass_filter = 0.300
+Epoch 0: | | 24579/? [3:53:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 24580; scene = ['894989e32e698e7d', 'd75a2d501d06abb2', '477f44d4c838a6eb', 'da3a6901f12a6e59', 'cafb7b387787db6b', '4c768903212b223d', '0f2c72ccf47c2cca', '43c9cb3a1f008f2b', '0be127358da454de', 'ab1d835889d2fabe', '6ce00eee57d60700', '3eae572207e849fe', 'f6059815a2a1e912', '1a208617ed6c2348', '11dbf87883d315f7', '94034faf0ea1937a']; context = [[145, 204], [61, 109], [7, 49], [138, 205], [145, 203], [113, 160], [46, 91], [45, 84], [9, 53], [18, 60], [44, 110], [77, 144], [14, 74], [24, 76], [21, 80], [74, 133]]; loss = 0.027846 low_pass_filter = 0.300
+Epoch 0: | | 24589/? [3:53:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 24590; scene = ['4dd2b3260d42e33d', 'bc31a831c7da94f6', '3b43e20efed5bd43', 'c97f7afd65090c33', '3953113473b362c9', '500c43d0f0558034', '8bd1355a3c06d06e', '5506f368be3afbdf', 'c9f0b268b1aa5e1a', 'a34af0c26cb1ee8c', 'd5e6d754c9163772', 'f158f2d611e892c2', '9ad8c7f6b7e9e5e6', 'dcd25be274f2d684', '1b6a7841c9586b0e', 'e97f1d7c3cabe2d9']; context = [[3, 51], [12, 75], [105, 160], [46, 85], [76, 115], [200, 248], [12, 59], [39, 91], [2, 43], [161, 218], [107, 166], [224, 271], [6, 45], [18, 84], [40, 102], [0, 62]]; loss = 0.028828 low_pass_filter = 0.300
+Epoch 0: | | 24599/? [3:53:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 24600; scene = ['20672f0690611fe9', 'd73dae9e6ffe86dc', '43d0c1d214b20024', 'ec9405fe08e66141', '6dd73ce2d44e63de', '0e613a7c35450462', 'c9ae23235b5e966c', 'a8ecdf04c7651cf4', 'd21e4b33834b837e', 'df4320d8eb103685', '7ad2d82f17a2ce15', 'c3af86032dda0736', 'b3159a384b90871e', '8a3e27e005fffbab', 'e028291f59ca1af6', '63686d76e16857b7']; context = [[4, 62], [36, 75], [83, 147], [149, 214], [93, 139], [34, 88], [47, 114], [9, 70], [49, 90], [11, 66], [11, 75], [2, 66], [4, 65], [31, 97], [17, 58], [0, 57]]; loss = 0.028618 low_pass_filter = 0.300
+Epoch 0: | | 24609/? [3:53:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 24610; scene = ['ce889e4a64d027c9', '07c6818a3a353dd8', '8a18a357d2f58181', '05caea054b89afc9', 'bc3e84661532f610', '76e3767736ea1fcb', 'dfce5eefef18f037', '6903e917c5bf1c37', '0a8e2e73b0a0ddeb', '44020f34ef2803bf', '893631aa1120f800', 'dc39348fdad696f3', '7a3c692a84dcff3b', '9508bbadb133599f', '7a91beed3bf01666', 'cec1e3207cec9019']; context = [[0, 38], [208, 267], [199, 255], [40, 105], [38, 78], [17, 71], [36, 102], [22, 75], [155, 193], [9, 50], [10, 58], [30, 79], [76, 119], [34, 99], [0, 58], [33, 88]]; loss = 0.028922 low_pass_filter = 0.300
+Epoch 0: | | 24619/? [3:53:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 24620; scene = ['30e603963529873b', '2a8ad97be538b3e6', 'b40e61afa21e81e0', '6be0a940423eafdf', '742797055a67c950', 'd14984609a8f3625', '20467fe97121072c', 'fa6335a92d7faa48', 'aeb17dab82aa05ac', '251366dc002bf6c3', '1162abd36a71567b', '955559418313af15', '4dfd54f3098821dd', '8affa132fa270700', '651dd13b1dab9b01', '821c671b230a1ed7']; context = [[22, 61], [119, 176], [17, 80], [2, 49], [0, 38], [13, 68], [25, 63], [34, 98], [26, 67], [15, 71], [43, 109], [78, 137], [3, 50], [7, 61], [39, 89], [56, 116]]; loss = 0.029181 low_pass_filter = 0.300
+Epoch 0: | | 24629/? [3:53:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 24630; scene = ['6551944a93afc0d0', '73d493ff94578c55', '2b0182cffdc9433b', '3dc0b3372b2e13dd', '1c87d4883f49da92', '91bab928c4639b09', '8d75d6f051b8f52e', '2a2e3da0444d2ecd', 'c6fa4e41f75c901c', '315fc3ba97edb0da', '6c3f490ba179a038', 'f1021f385c05e35e', '2f6c751ae35cf1de', '2a9a0d7936c79eac', '83ed9d8ed9845e71', '48a3ce4bd42f000d']; context = [[6, 47], [17, 59], [10, 55], [24, 85], [134, 176], [46, 113], [12, 71], [15, 54], [52, 99], [11, 66], [71, 132], [36, 103], [37, 99], [76, 143], [31, 87], [9, 65]]; loss = 0.028882 low_pass_filter = 0.300
+Epoch 0: | | 24639/? [3:53:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 24640; scene = ['55c41fd92228939b', 'fec87b0585b93bda', '75bb1b9c01a50796', 'a9ccf989917513be', '06ea674963ad018e', '873e47aefa88e8cc', '3bcd60aa10534c91', '5b6d2302ce6b01fe', '165bd1ee2bde617c', '0635a3619c622723', '65c0a05d71fc4a45', 'e1b54662af9ed7a8', 'ed53bf7b8e6dc9d1', '1eb802d8fe855ed6', 'c2083e2d07063bdc', '34524c4a56295200']; context = [[7, 58], [11, 68], [27, 65], [9, 67], [17, 72], [19, 66], [35, 97], [1, 50], [58, 101], [7, 68], [32, 94], [73, 138], [103, 152], [68, 127], [4, 42], [11, 49]]; loss = 0.030943 low_pass_filter = 0.300
+Epoch 0: | | 24649/? [3:53:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 24650; scene = ['66c9632b703b75c5', '5597f674a468558e', 'd67b3a053d3a3f00', '60e831b626358b45', '3661f99bb52c6d13', 'f0a377d6e921025c', 'e749487d50aae270', '31d20f7587a2904c', 'ee4964a47af10585', 'cb7b53a4b05f6aba', '4184a1246de779e5', '42a9b6d389454481', 'cd4599abebf9d60d', '89ad475d12af1821', '4fcfd03c65294627', 'b3f292e781b77315']; context = [[161, 218], [199, 256], [0, 43], [30, 79], [51, 108], [6, 53], [62, 128], [220, 263], [52, 103], [50, 111], [19, 80], [21, 83], [13, 73], [19, 83], [52, 110], [70, 114]]; loss = 0.025661 low_pass_filter = 0.300
+Epoch 0: | | 24659/? [3:53:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 24660; scene = ['f1003c330038505a', '05811acb5942dc8a', '3b9e4746198f5f87', '4d220c5bb499f859', 'b0bcc4d7851c2772', 'ea9d27d15fb314d2', '674e6a33e09edcf3', '7f97fbd2a01c6820', '856bb1da2f10d78c', '00f0397d5f6a855e', '2ae25c1ef4ee35e7', '22883477ff44a8d8', 'ecc8438134a2638d', '39affc04f4fec373', '2c69823bf64bcfa1', '3f99cb9bcafde8fe']; context = [[39, 105], [39, 85], [0, 52], [115, 159], [108, 171], [4, 65], [172, 228], [7, 47], [12, 53], [90, 146], [34, 95], [10, 69], [4, 67], [2, 55], [46, 107], [143, 208]]; loss = 0.026827 low_pass_filter = 0.300
+Epoch 0: | | 24669/? [3:54:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 24670; scene = ['7290906ef512f678', '427e287379108891', '199efe0aa9f2980c', 'e707d9b275957bae', '4bcba502acc243f0', '7ddc7cab16aeca59', 'e5dac527233af340', 'e3fc0b8b215383cc', 'dfdd7ffe0296ce04', 'b73c5e0a08d76ce7', 'a97c604082cdee65', 'a1f6362dc4656707', '3c5277bcd9e4ae27', 'd1dfd1bdfbeccdbb', '070b23aeeaf1abd9', '3ff1284c0953670b']; context = [[52, 97], [26, 69], [6, 44], [84, 124], [19, 85], [3, 48], [12, 60], [56, 116], [11, 75], [93, 153], [53, 115], [12, 74], [155, 207], [27, 68], [75, 122], [22, 71]]; loss = 0.027411 low_pass_filter = 0.300
+Epoch 0: | | 24679/? [3:54:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 24680; scene = ['0eea77c7a7ea776b', '1ff6a0130c1bdbc9', 'ff1dca7b309e73cf', '63e436b601897a18', 'f7b4d47fa023d83c', '44b54a674418eae1', '76d53cf41f53eb37', 'a8708276de880b2c', '59290e5eafe2dacc', '2876ff2b0e9b35c8', 'c1c51fb2e8fa3f3d', 'e24c92984ba44023', 'bb5821113e1e7c98', '9c128aa40c275f9d', '748258417c8a8efe', '8593a4c8982e1d21']; context = [[44, 104], [32, 99], [4, 56], [110, 163], [15, 63], [1, 60], [1, 52], [0, 48], [59, 115], [0, 45], [115, 158], [33, 71], [59, 112], [166, 226], [61, 100], [1, 48]]; loss = 0.026574 low_pass_filter = 0.300
+Epoch 0: | | 24689/? [3:54:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 24690; scene = ['66c583ba78db2686', 'b48dc4df6fb02f4b', 'cc1a4a14236ea89a', 'a75d63654365b43c', '8b892aa99ab635fa', 'cc4d298f4c09ac47', '14b72a12818f15cb', '392eab2c84c17409', 'd6ac297a4d15b7b0', '1a3774eec69dbf4c', 'afd1f0b4fba0c645', 'ebefa67b99601839', '5118b43a3f332d06', 'a35fcfd5ca571296', 'e2b10586530728fd', 'c50585b25ebfe2ba']; context = [[7, 65], [2, 65], [26, 91], [145, 193], [97, 156], [0, 67], [1, 65], [49, 88], [40, 82], [23, 72], [68, 134], [55, 122], [18, 60], [24, 67], [53, 106], [50, 98]]; loss = 0.029000 low_pass_filter = 0.300
+Epoch 0: | | 24699/? [3:54:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 24700; scene = ['8efec6de00a7d511', '7fbc6cf6fe65b7ff', '11d1dd8049ca694b', '06fccc7d660b7c54', 'caf78660bbc1dbf2', '2244f7dd2c91da2c', 'ca543cd72517425f', 'd9afbf73118bb8a1', '8272b1253d3ef5bc', '9777aa81d5ddf05d', '7c4d7ed47ae232ed', '6aa2acda128083e0', '961a5b7bfe5ef431', 'b4802203e4196f7c', 'cf7393cafef6d8fd', '714ecafb5f39913b']; context = [[0, 58], [142, 199], [77, 120], [3, 57], [2, 41], [83, 136], [3, 41], [31, 85], [30, 87], [19, 74], [23, 81], [17, 55], [15, 76], [97, 140], [13, 53], [44, 104]]; loss = 0.026144 low_pass_filter = 0.300
+Epoch 0: | | 24709/? [3:54:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 24710; scene = ['de2ace7196f6d140', 'e38105742c98d888', '0ff362ad28ba21d6', 'd697cfcbfa727a4f', 'ff788909dd15fffc', 'dac88abfc46437c8', 'ff8f49bdb17e5050', '616d045c5963ecb2', '556c98e247270631', '543b9b3f8be1f1d1', 'd267797bd8ac3330', '9ce909d08d97390a', 'cc966a9b2af2232f', '8181f645b467863e', '97d12f6d996bf73c', 'ea560425df1b8298']; context = [[8, 54], [206, 272], [17, 77], [46, 105], [68, 131], [128, 178], [10, 66], [22, 89], [72, 110], [117, 162], [14, 53], [26, 65], [92, 153], [31, 85], [147, 208], [10, 67]]; loss = 0.034104 low_pass_filter = 0.300
+Epoch 0: | | 24719/? [3:54:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 24720; scene = ['e5537547dd598187', 'c0e387d3a6285a32', 'dad145ce35ad0e54', 'cb9ae86a49f95f34', 'a5175255a7a24781', 'a328bb24ae1259b7', '9e739ec1a8c7aece', '937835bf008447ae', 'fbcfae0d07f3840d', 'ffb0ecd62200e136', '48f502df70db50e1', 'e7129afa3f20fb38', '6f349cede66a597e', '21268abbbc575fc9', 'fd92fb298b944a09', '7e1f1f018b3493cf']; context = [[3, 61], [106, 146], [36, 74], [71, 118], [12, 58], [1, 59], [6, 73], [14, 64], [118, 185], [40, 86], [112, 165], [126, 188], [2, 52], [1, 46], [11, 75], [2, 44]]; loss = 0.093886 low_pass_filter = 0.300
+Epoch 0: | | 24729/? [3:54:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 24730; scene = ['1a476a75bd073c80', '56ba21867ca58ed3', '3aa1b31b218bbda3', '52e55a9250f55a45', '91fb76c74c6fe7d9', 'ba8af60a9d4bbeea', 'fe3eb89cdb313955', '4fff9fbe73952018', 'b4a621ff4fc39bb6', '1c3284259050a0a9', '6fb580ad7ea0e94d', '369fdb50d48334e8', '9467cca40f3ac088', '61c3762e0090d702', '53fe8fcecf2767a3', '852820a2465b9c4e']; context = [[148, 209], [121, 185], [24, 63], [109, 147], [0, 40], [12, 64], [12, 64], [36, 75], [17, 58], [149, 201], [21, 77], [3, 47], [184, 228], [14, 55], [32, 85], [3, 63]]; loss = 0.023131 low_pass_filter = 0.300
+Epoch 0: | | 24739/? [3:54:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 24740; scene = ['26bbe9550ed68e33', '4f626955e18d7e9c', '3914c72798afbf55', '39357cec4dfde0c4', '8ae07a41da8a7327', '9228d5f56cc394bb', 'fe9c9efa162243af', '517e1bd673ffe78f', '9695907dbf989efe', 'fa4ed1deda5e2f36', '1030575ce50471e5', '2d9c1a7e8547c7f3', '3333768ade9bae8f', '8b6fc7cfa0e1de13', '2c2893932017a26b', 'de0b5f163df22bac']; context = [[5, 47], [45, 96], [67, 118], [11, 70], [9, 47], [37, 84], [146, 191], [46, 110], [99, 155], [31, 78], [23, 88], [66, 118], [0, 59], [149, 189], [75, 119], [2, 69]]; loss = 0.024291 low_pass_filter = 0.300
+Epoch 0: | | 24749/? [3:54:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 24750; scene = ['891771b6d13a027a', '45575e929ef4bf66', '6e4c43cb7109a228', '225f6975684ceb35', '7fe52fb374fc6aca', '81eeb2cbf825a1c1', '0fdf9e6982817f7a', '50e663034e6e387a', '11e8a47afc86d430', '7fc375752c2540e3', '524aaf3b874aae61', 'a0883fd11d656ac5', '072eca78621634b1', '2df83aef6a375147', '9fde98805690a4e5', 'a94e03cd69b319e7']; context = [[46, 100], [28, 71], [4, 68], [26, 79], [0, 66], [49, 102], [3, 67], [7, 70], [52, 105], [22, 66], [167, 210], [206, 254], [7, 52], [9, 54], [198, 265], [7, 56]]; loss = 0.028191 low_pass_filter = 0.300
+Epoch 0: | | 24759/? [3:54:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 24760; scene = ['e9066f9a8c2aa1d1', '96c1754d9527cef7', '4be78a34f5d97b64', 'f8179df095e9575f', '99f6fbe55cbcfdc1', 'b03df4c4382500a8', 'c34baa7a466d6f17', '191d93d539d59e6a', '8094d6a3dfd3333f', 'ee05b13cdf928ba3', 'b382a321245b2789', '66e4f3268dafe823', '1a9297aa64507e8b', '2e4cb954129dbba8', '9cb320f193eedcc2', '33eca79b369a3ed1']; context = [[14, 60], [4, 63], [3, 44], [25, 92], [52, 94], [99, 145], [56, 99], [95, 156], [54, 119], [9, 74], [80, 119], [79, 129], [0, 41], [42, 94], [43, 97], [112, 177]]; loss = 0.025801 low_pass_filter = 0.300
+Epoch 0: | | 24769/? [3:54:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 24770; scene = ['41e59871b42221a1', 'e5f3f15563142757', 'a47b488c572774a3', '35f8340a1b25d459', 'ecf309ffadd46a42', '9b5af8dcc2af29a9', 'a67c4edb735cc1b8', '203ebd4a7ecd7351', '8feb9f00718a9ec1', '23342285a08b05f9', '1a63fc7a0888336b', '4b330b71b8aea5f0', '74d59500412b3a6d', '1bc4f80907befd27', '056a4a7e82bd4a08', '7972dc0925069bf7']; context = [[83, 131], [6, 61], [2, 69], [121, 173], [67, 120], [15, 59], [3, 47], [23, 71], [38, 90], [24, 70], [174, 212], [124, 169], [1, 68], [176, 230], [71, 127], [9, 49]]; loss = 0.030160 low_pass_filter = 0.300
+Epoch 0: | | 24779/? [3:55:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 24780; scene = ['b210bb589468fb4d', '8de0c4ae0c5bb988', 'dc5f38f005c3ebd6', '5e89c7650c97cdf1', '59ee32c2dccc3dba', 'e2ce81d901cdd6c7', '31bad60f5b6bbd14', 'c87ed13477475e4a', '3fcac0f29c94b5e6', '1dddf8460c0c49cb', '5851772147fe79f3', '524fe76ae272d2ef', '6b076ff0fa76674a', '7f6642220b54f702', 'c0ab759d761f2868', 'f5e2894f19b60dc8']; context = [[100, 160], [6, 72], [34, 99], [0, 41], [9, 61], [12, 75], [23, 70], [0, 40], [56, 123], [83, 121], [16, 79], [1, 39], [193, 257], [43, 102], [21, 66], [153, 200]]; loss = 0.030745 low_pass_filter = 0.300
+Epoch 0: | | 24789/? [3:55:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 24790; scene = ['76cface391a7faed', '87f46a01a4296d3d', 'b8a5be3f37c332e1', '7f1a7a988560b2ac', '48f0cf3536b29c37', '195e52b808cc5f7b', '01d70424679d81b4', '3fe81e368cf1011e', 'b8062aaa7a76eff2', '46a6f7a7a496e0c0', '7264da2e5617c4da', '75299e01a10d0b2d', 'dedbccf1aa181b02', '49362275159e338b', 'c377c3e9c9d3a658', '80c56b76ba0f1594']; context = [[4, 52], [84, 144], [12, 60], [15, 72], [25, 87], [6, 54], [13, 52], [96, 136], [8, 51], [4, 71], [60, 100], [79, 134], [94, 144], [43, 107], [63, 115], [5, 44]]; loss = 0.024814 low_pass_filter = 0.300
+Epoch 0: | | 24799/? [3:55:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 24800; scene = ['d93ceeba573fb491', '4602deeb27e9b472', '7113a6242fa0ecb9', '3cb9e154ab207d2d', '22511038a50ecabb', '9f000e8e31dffe41', '13f9eb4e79fd4def', 'e0f46f5b13a7737b', '07488c7551c1a967', '705cf9f15387a607', '4c6da61393cd5e31', 'e9370c6c28b03fcc', 'b32553fa725be102', '84915ac53fbf7e09', '1387814bb50733f1', 'cd742360e61d786c']; context = [[12, 77], [4, 65], [5, 54], [4, 57], [28, 79], [40, 96], [21, 74], [176, 242], [34, 90], [33, 99], [15, 72], [41, 89], [7, 48], [22, 71], [153, 199], [18, 74]]; loss = 0.030825 low_pass_filter = 0.300
+Epoch 0: | | 24809/? [3:55:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000train step 24810; scene = ['36be66d194d57ec8', '0a4cbe699be68e5c', '83124d7f14f5e63f', '0a2a624ea539e195', 'b7b4f2f42c79e9ce', '646cc7d6374ec7ae', '0d3ae93e51547225', '85b281f0e77a632f', '208a59eecd4b555c', 'dda71026b1c95d17', 'b9e6692e064010b4', '4628e2b37db4e285', 'd752c6a596930489', 'e218f9241aec777f', '69f96bf5ae7b98ec', '3c046c40d6f851ff']; context = [[0, 59], [27, 67], [40, 96], [84, 145], [159, 213], [176, 238], [57, 104], [14, 71], [12, 67], [169, 209], [2, 40], [12, 50], [47, 90], [7, 53], [52, 110], [39, 83]]; loss = 0.033447 low_pass_filter = 0.300
+Epoch 0: | | 24819/? [3:55:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 24820; scene = ['7eff316fa46c86dc', 'db00c9d61968623b', 'b9baabda7e1103c9', 'ece5216326fa2f72', '9579af646646f7a9', 'b72d9fdc671b2e3f', '1fd04b3b726fc68a', '5c9c5decaa12cfd1', 'e4d69e87d73f574c', 'd637df47561724e7', 'b27550ce7b33d218', '012019df6ff17e30', '5016750fece91181', '5862391ea26da3ea', 'ceeb544dc7e54313', 'd2b1b93dee94507d']; context = [[9, 61], [13, 74], [5, 66], [3, 69], [42, 108], [7, 49], [40, 84], [2, 51], [59, 124], [80, 139], [16, 78], [10, 53], [1, 61], [4, 49], [182, 229], [24, 91]]; loss = 0.081396 low_pass_filter = 0.300
+Epoch 0: | | 24829/? [3:55:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 24830; scene = ['335bf6cc102962d1', '1b28d4488bbd73a5', '3394846340d63c73', '4c067452588bb4bd', '2e2cce8b80bc8018', '453edcb688f085fb', 'd60a0aa6d5711b80', 'ea746408d4ea4e51', '6d45a2090f8a7bee', '62c4b13b4d673035', '1badfac3b77b18f6', 'b4598653ccfd0f54', '8ffdc128b3bba1fe', 'b0c960c65f62d755', '50a66db80eba783d', 'c7891efd731cecb6']; context = [[11, 68], [19, 62], [88, 128], [36, 84], [3, 50], [86, 152], [11, 59], [68, 112], [0, 57], [13, 78], [3, 53], [65, 103], [84, 131], [49, 108], [26, 76], [2, 46]]; loss = 0.022561 low_pass_filter = 0.300
+Epoch 0: | | 24839/? [3:55:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 24840; scene = ['ef0b4dcd840bda76', 'd93ceeba573fb491', '46b40da68830b18b', '6e58885ab481a69e', '47859ae6b9a42597', 'b75e800d18bafa7a', 'bf22c42ad27b81d1', 'c8041821e77b3d89', '0ca38de167ab1697', '38cbdb5443d28734', '5bad86b53e6dc18b', 'b6bc2793bbe942c7', 'd1d41b208f1c933a', '57bdd8129114cd12', 'f3cc9c3a68aece89', 'b751aa692a5336ac']; context = [[27, 70], [26, 69], [92, 136], [37, 77], [73, 133], [77, 143], [42, 80], [0, 54], [79, 139], [121, 161], [40, 88], [40, 89], [72, 110], [43, 90], [38, 89], [65, 124]]; loss = 0.026792 low_pass_filter = 0.300
+Epoch 0: | | 24849/? [3:55:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 24850; scene = ['7273382ad589d7ac', '549d70078346dcee', 'b382af5f342061fa', '3cac75e60965dc6e', '77c788d08b2ce6bf', '9f92d7e79d4a35bb', 'd0e7e477ff1174d4', '7b2c118f021e6902', '1c1171aa48cd3d30', '6817374ad089ff46', '03036efc7c7ae3b5', '3effc4406f9ddaeb', 'd7b9f1dac0249ebf', 'cdfe3555d603c114', 'a3bc042b68a67193', '5a99fe9366d19a76']; context = [[3, 63], [10, 71], [5, 72], [22, 84], [20, 68], [12, 65], [23, 71], [0, 41], [100, 145], [136, 174], [177, 231], [6, 45], [10, 69], [0, 41], [4, 72], [7, 73]]; loss = 0.030500 low_pass_filter = 0.300
+Epoch 0: | | 24859/? [3:55:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 24860; scene = ['fca51d820d274436', '8683a8b09cea1991', 'c807da7dac2e7927', '280c0c2dd789cd25', '87fd521518dc4cb6', '3b979b9dac2097a2', '8cf28ca6dc386dd5', '657ed7177ce06af7', 'e228336cfbfcb179', 'c260842ca527acec', '0d0d5f86ce65d2a0', 'cc599b021804a5b3', '874678686325796e', '282c34d21fc592cc', '95a3ab26d547d0e2', 'ff606885fba519dc']; context = [[2, 65], [78, 130], [51, 97], [231, 275], [56, 119], [56, 109], [11, 71], [19, 80], [115, 176], [14, 70], [57, 109], [22, 71], [86, 131], [58, 110], [19, 82], [134, 191]]; loss = 0.029362 low_pass_filter = 0.300
+Epoch 0: | | 24869/? [3:55:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 24870; scene = ['50b2b1847f0c3ec5', 'f7b38b4801c35c54', 'f8448a1d0e098580', 'd862527a043561c9', 'bc5f4b5e37f71aec', 'a1a0bcce8001f776', 'c063a92c7a44b6a0', '861fd42e408817bc', 'b64f6fc16d34be37', 'd1910994e205375f', 'a3a29f751ab5536c', 'd7771ae79c3f26a6', '35bfad0493df3456', '9789c9bca500f60d', '1f2c37aec9ad5c43', '1f67d024b6212444']; context = [[63, 109], [60, 124], [37, 79], [24, 91], [21, 61], [54, 120], [42, 110], [47, 89], [97, 153], [94, 150], [58, 102], [4, 45], [2, 43], [60, 118], [80, 124], [130, 198]]; loss = 0.029936 low_pass_filter = 0.300
+Epoch 0: | | 24879/? [3:55:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 24880; scene = ['05985e1284e4f7c2', '802aa8d1e6f98319', 'a1169316c41a6e2b', '0aaaf5508f2ff485', '79fbc7aee92af1ae', '0d1f13c67d0758eb', '9f9f38862998b28f', '1072d53e5353bac5', '5661874e84a498a5', '5eca48d9febf5e70', 'eff98653337775a8', '6dd5bd6445ada623', '5be8385a860cd167', 'a2ae856e2faf3097', 'a3214062cd1950df', '0339818f120ea7ab']; context = [[12, 60], [9, 54], [25, 67], [100, 147], [16, 55], [22, 60], [90, 141], [6, 65], [8, 73], [2, 47], [19, 65], [64, 123], [9, 48], [8, 57], [70, 124], [15, 60]]; loss = 0.026279 low_pass_filter = 0.300
+Epoch 0: | | 24889/? [3:56:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 24890; scene = ['0d29df52e52443e8', '7c6cff8643a2c250', 'b59fba30c46e869b', 'd3a667f950f7c572', '3788c6c82dcb0db2', 'accdafb6a3264bd1', '9722a4675ef08f7a', '5b42aadc59b3f4f3', 'ab69710e23ffa519', 'b5a9d569512adc78', 'aa6af775f4c69693', 'e1f74a2bc6c577f9', '42a8e3c55088a4dc', '5ee57f2a8400b256', 'e8d604150ae0360d', '25be53ace2fc19a9']; context = [[46, 91], [1, 57], [38, 101], [3, 57], [56, 100], [207, 271], [0, 47], [84, 134], [63, 116], [0, 68], [9, 70], [9, 48], [117, 157], [141, 201], [4, 42], [5, 52]]; loss = 0.026485 low_pass_filter = 0.300
+Epoch 0: | | 24899/? [3:56:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 24900; scene = ['cb9d0d7099e2f296', '334eb53845f3615f', '7dbd9631683c5ae8', 'a1331ad1467f9dbb', 'cf579459b0fb66df', 'bb518b3a290d5e83', 'c1184830a0171bea', '7426a108ff0bd8f0', 'cac37e977aa56490', 'eeeef9bad8464592', 'd28dd035c45d7b06', 'cd1b750af1701dd8', 'b495905da7f31147', 'c7df75f0a22b9980', '58dd91617d378543', '57c4350a67896dd1']; context = [[0, 66], [6, 59], [57, 115], [95, 146], [19, 63], [40, 102], [61, 113], [163, 226], [29, 69], [4, 65], [26, 82], [16, 73], [21, 77], [5, 47], [23, 66], [44, 108]]; loss = 0.032365 low_pass_filter = 0.300
+Epoch 0: | | 24909/? [3:56:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 24910; scene = ['f9eb323d5f901122', 'fe5c3e12d699d77f', '36ecd2c090551e5b', '8f17b5780b30ab5a', 'e4e10e6b388f3a91', 'adb159b1165df8ff', 'fc454ba4fe081bcf', 'a4b502cb83a02b68', '4ac72b0e9795380c', 'afc302429757e7af', '082df11768924c7e', 'ff2bd6b594638b0e', 'afe7352745af8df5', 'a3e389b0c33b31cb', 'cdbb5456c4a6c130', '553c15ccd8a7c665']; context = [[10, 61], [68, 127], [61, 129], [5, 54], [3, 65], [5, 58], [14, 57], [21, 71], [44, 88], [137, 176], [31, 87], [24, 70], [1, 56], [30, 78], [29, 92], [21, 66]]; loss = 0.030004 low_pass_filter = 0.300
+Epoch 0: | | 24919/? [3:56:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 24920; scene = ['e2b6581f1a1a2fcb', '1155d2e97e08de55', 'a43b3a139f3046f6', '1a4dd16b9b911cf0', '4ef60b7c94a88741', 'fefa4193d759dfd6', '3151f48fb640d69e', '3c9cc4d395328b64', '42d7020bbab0052a', '46a78ac601ddbc10', '2255dcc7a505e0de', 'e33fe4265015eab3', 'b251bed166d04e8c', '8a87ccffef19b65a', 'ff1686153c503b0c', 'cb0866c6302d4c93']; context = [[29, 81], [58, 100], [69, 116], [13, 51], [9, 60], [17, 62], [1, 67], [112, 158], [165, 218], [43, 88], [31, 86], [35, 76], [14, 82], [169, 223], [1, 39], [90, 150]]; loss = 0.025665 low_pass_filter = 0.300
+Epoch 0: | | 24929/? [3:56:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 24930; scene = ['5c666a58554a0ff9', '18b989e89150a242', 'f704d5b89d6b19c2', 'edb43317316d7f17', 'c87c40da1e4a9ae6', '5f1c50e26de61455', 'cbcf05baba7c9624', '3155b05b96e2111e', 'c580d7b52ffa2fb7', 'e26f0a1b140b74ca', '755ac8f9f91414a5', 'bba891ea827e88a2', '86d6705131e38b99', '9e8db62a9b3cbd5e', 'bc784a299b459e92', '3230bf3dc93cf6d1']; context = [[0, 51], [5, 64], [11, 62], [8, 57], [39, 99], [13, 76], [14, 60], [1, 49], [86, 142], [0, 42], [33, 98], [42, 85], [77, 137], [112, 152], [0, 56], [188, 238]]; loss = 0.026865 low_pass_filter = 0.300
+Epoch 0: | | 24939/? [3:56:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 24940; scene = ['8d9d6d9fa213b895', '105283c6a2b6ad00', '647839cbca8db12f', '9472e0c8a62e30d1', '7345aa2a210fae8c', '288a09225150f472', '767a19530957b790', 'e1d7b52a30d60b2a', '12025fef56ee3d5b', '545f0bf834b0b19f', 'b55b27c9d8f7ad94', 'fa5dc3f82887cfad', 'c09d7898ef37ba32', '7b6c709c0eb728b1', 'f46d9b174fbfd403', '0a4e072b35ec9aa6']; context = [[50, 95], [7, 57], [7, 60], [43, 87], [8, 59], [113, 166], [47, 92], [10, 62], [0, 43], [129, 188], [16, 76], [153, 206], [3, 41], [63, 109], [16, 54], [55, 105]]; loss = 0.023518 low_pass_filter = 0.300
+Epoch 0: | | 24949/? [3:56:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 24950; scene = ['d2296281f2cdccf2', '348b1e8ab15f2c59', '7e9ebe40970c2a30', '20834d8e45bbdbb5', 'b0a6f8dc91bf958d', 'bb80f7a48ed9c0a3', '08573a54ffbed332', '14b4a87eca54c72a', 'fe09fbcc7217f075', '1115254066cc1476', 'a53c93ca22ccad14', '2c61c4c2a252057e', 'a2611d3a2917309c', 'f1789e98aa1ed5c8', 'efc61426e83c812c', 'a65ef54b0f6cec2f']; context = [[53, 94], [63, 114], [1, 55], [33, 92], [12, 73], [108, 150], [42, 82], [152, 202], [0, 38], [63, 115], [231, 275], [22, 67], [214, 261], [22, 61], [51, 100], [1, 69]]; loss = 0.028211 low_pass_filter = 0.300
+Epoch 0: | | 24959/? [3:56:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 24960; scene = ['fbe6e2473b2cd36b', 'dfb361bb71a80673', '325f0d952af7be66', '5979f3317fc24cc5', 'a7627ba979e7203a', '8f4411404d35c9aa', 'd307d393104be667', '58ec77029a3dc124', 'ce2b5f59e7d1a168', 'bfcc388041b60965', '642d3fb21f60cc53', '1668a84868a4854b', '102b393a88361a71', '677050e1ae2da818', '1d6d289574b75e09', '36e33959215c9d0e']; context = [[25, 74], [129, 167], [177, 225], [11, 69], [42, 100], [4, 61], [13, 69], [116, 183], [35, 96], [77, 130], [37, 76], [16, 75], [86, 124], [0, 43], [81, 135], [2, 56]]; loss = 0.028999 low_pass_filter = 0.300
+Epoch 0: | | 24969/? [3:56:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 24970; scene = ['152edf1f120feee4', 'b6a8ddf4124bde1b', '2518a6d186597a29', 'c14e6b2537cec7c6', 'ceeb648cbc5cb0f4', '6ee5f113a2185f1f', 'e70461340183a253', '2bd76828652b5837', 'c07125035b8cb8cd', 'b32bc68eca8088e3', '63408a45ee202911', 'e88bd8b7c02d5f37', 'ff127b11311493c5', '5e3ecd33b55910ea', '2dd148a95f491483', '5c83a203ed06a6ab']; context = [[126, 189], [119, 161], [15, 78], [2, 59], [8, 56], [83, 150], [31, 94], [138, 197], [18, 75], [7, 50], [65, 125], [2, 62], [18, 76], [11, 75], [52, 104], [0, 38]]; loss = 0.031741 low_pass_filter = 0.300
+Epoch 0: | | 24979/? [3:56:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 24980; scene = ['28ea6096b062a3c4', '0d4c07701fbcd987', '75ba1cf5e8ed04f0', '8b89b00938bca1d3', 'fe83cdddf24659c6', '648c1c7710df04dc', 'c22a3f3186fcc45c', '26c433edd7f8c92d', 'e3d545fddc61ad3f', '815c5d2c059f38c6', '276ef99fe1e6cd12', '92392d6c80ff0b65', 'b9088d10a87467ed', '7c3cb1f442befb1b', '1fa1c6787f0c73e6', '3d3cf44d557987ec']; context = [[12, 77], [114, 168], [119, 176], [0, 39], [23, 81], [35, 85], [7, 73], [4, 66], [174, 221], [21, 72], [13, 64], [32, 71], [107, 148], [111, 173], [11, 67], [62, 129]]; loss = 0.025787 low_pass_filter = 0.300
+Epoch 0: | | 24989/? [3:57:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 24990; scene = ['ce4f7bf72c8a56df', '8dd05db385680029', 'a11a4c848afc6292', '0f269fbd2e54d5c0', '305930c2ac2205b3', '50cb9194a0e25204', '3111579f1c9d5f28', '679057d0e2febf0a', '8d6d9857a57baee3', 'aaacce7a4a7c9725', '3d0c6eacfc39aafa', '3bd99b35d4566e6d', 'a4776e96ce74edc0', 'ef84137ab9a199c7', '76f8c934d299d0aa', 'bc20a805c32503b4']; context = [[106, 174], [16, 74], [11, 73], [8, 49], [67, 122], [20, 67], [174, 217], [7, 50], [56, 112], [194, 258], [135, 196], [3, 42], [11, 72], [6, 62], [46, 109], [15, 77]]; loss = 0.026864 low_pass_filter = 0.300
+Epoch 0: | | 24999/? [3:57:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 25000; scene = ['953a7c1467296fe5', '5aaeb25dad8f677e', '25aba9aad59f0eba', 'cb3b1652c6eab780', '713dd7ab28264c16', '66c2a901f10a14dc', '905891b1bc846ccd', '8421d1b832751b06', 'd1594196fa748b2b', 'e83742a3e43bd126', '7d675692ce253ae5', '729fa587a8a49343', '62d9c30b7009ade6', 'd063d31fc9a7af2b', '20ad4007f8dc89fb', 'cf888eee79e98e59']; context = [[55, 109], [3, 65], [216, 258], [24, 80], [91, 137], [36, 93], [47, 85], [3, 53], [126, 184], [27, 78], [9, 64], [53, 104], [27, 76], [21, 81], [7, 50], [11, 66]]; loss = 0.030724 low_pass_filter = 0.300
+Epoch 0: | | 25000/? [3:57:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000validation step 25000; scene = ['dfb6932b1a712d0d']; context = [[16, 64]]
+Epoch 0: | | 25009/? [3:57:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 25010; scene = ['9d92037a929272e8', 'd4d64593d82fa175', '64b035cd851d2f46', '00b40cafaa3a389a', '79e14401f6633eda', '24887cb60eced656', '0978f12b4df5bae2', '8020e0b42282ce7a', '1db6c7094f88da45', '589b0dc1fea3fe62', '4ccc05527dea95a9', '855d03992bcf5480', '9ba7ffd700b4159b', '39e1f92f2731b7e0', 'ddcd077c7e0a67cf', 'ea9d5cef5a33d0ae']; context = [[1, 41], [107, 158], [68, 120], [2, 65], [86, 132], [3, 66], [0, 43], [87, 128], [22, 66], [0, 48], [196, 257], [2, 45], [36, 88], [144, 188], [199, 240], [96, 144]]; loss = 0.026677 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 25019/? [3:57:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 25020; scene = ['ee57aa9dae00cb90', '8860d3251307030c', 'a26363624d7d2ebd', 'd86fbb8ba2bcee27', 'c4a00d6ff8529867', '95e2ddd4cdde4c5f', '5bece91c5864e528', '750888ee3338e002', 'd5272681859ac87d', 'dd709a76c4ade039', '44832125f07d776b', '92c6b068eef863c1', '5f50dee192160381', 'd312a48eec9207af', 'af929bef74892ce6', '3cfb633b947bdfe3']; context = [[40, 104], [4, 67], [6, 46], [60, 111], [32, 70], [34, 74], [29, 91], [29, 94], [16, 76], [6, 73], [20, 76], [49, 117], [8, 66], [53, 98], [41, 89], [47, 88]]; loss = 0.032694 low_pass_filter = 0.300
+Epoch 0: | | 25029/? [3:57:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 25030; scene = ['ced9eaec2af72a37', '709fc2c17b0ea274', '9581c4e12f850b42', '89a0b178ae2983b4', '29c4c646eb53fbd4', '11f1ad731ee02dfa', 'af225d8e8adf6ca0', 'e2535bf2bb4ca423', 'a27a32e39e82bbb4', '0575b49c3a451110', '00e7f68556c9ec9a', '7ee21d878ae03272', 'c55064d2cc530328', '8d0bb77de4773476', '88c9fa0bce5f1601', '5cae0c8af1963d88']; context = [[41, 83], [35, 83], [57, 108], [0, 42], [99, 161], [79, 141], [202, 246], [77, 117], [215, 278], [87, 137], [3, 53], [30, 69], [57, 116], [38, 78], [110, 159], [206, 245]]; loss = 0.023208 low_pass_filter = 0.300
+Epoch 0: | | 25039/? [3:57:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 25040; scene = ['73b4f3120576ae0d', '699bc7dbd0bcdaec', '0c14e3a75d58b35f', '0d89dfd83ed81e71', '071eb67ff13bf80d', 'ad2bddef36995b31', 'f0bda6f91712fd5a', '4665abcd48bb710a', '24f7243394904def', '16c47f696bf6293c', 'df74597c3957bd8c', '646a74f178afb3a6', '1c5c50af69deab6f', '1c71ba8b64ef1410', 'd06cb007800ec3bc', 'e61efa08cd504fff']; context = [[52, 116], [5, 49], [6, 47], [107, 153], [38, 97], [25, 93], [228, 274], [6, 52], [13, 52], [215, 268], [53, 112], [53, 109], [37, 94], [29, 70], [102, 146], [17, 64]]; loss = 0.027737 low_pass_filter = 0.300
+Epoch 0: | | 25049/? [3:57:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 25050; scene = ['41c4920e80cd6202', '8e52fac3c6d4e1a2', 'b071ce2b817199b0', '0b714d93b8d1d0f4', '105e6a039d9e486b', '73e75f62ea5a620a', '020be62e8d7528cf', '34b49975160a39c4', '6d02873a8e2a1124', '724f9f3b50e2a778', '2d8cb7be1e2f7383', 'b6ba0fe84eda0476', 'd26a81d0bd4443b6', '37a6668e37b81707', '58626c3c9ecc281d', '98158a10ba43e6be']; context = [[125, 166], [150, 208], [23, 91], [35, 90], [14, 60], [2, 69], [24, 76], [12, 80], [90, 136], [66, 105], [32, 84], [27, 77], [21, 66], [20, 60], [100, 142], [8, 71]]; loss = 0.027801 low_pass_filter = 0.300
+Epoch 0: | | 25059/? [3:57:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 25060; scene = ['f6a14acb31badb11', '08c6d6ab90e6b86b', '15f89ff3e4a8ddf3', '79632305e38f4e61', '5105fedd23e13f92', '931437c7f8178635', '148d73d25691beab', '507b9f1675988055', 'd1a6d6a046f37dbe', 'd67ff3b1493cf038', 'bda51613b8944e3a', 'f5ea225f5c7fc039', 'e313fc42cfe43a81', 'c53eb8ed399c3598', '0b386825ee4147cd', 'fc9eaf68cf867fff']; context = [[135, 178], [11, 66], [85, 152], [87, 134], [35, 79], [34, 80], [1, 39], [49, 96], [2, 64], [75, 122], [9, 51], [8, 71], [92, 158], [86, 126], [0, 49], [15, 58]]; loss = 0.033588 low_pass_filter = 0.300
+Epoch 0: | | 25069/? [3:57:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 25070; scene = ['c59b6f75d304391b', '6b8eed37ef5bbb26', '05942c4e02b982f6', '6eae271fb9939971', '477b299b36c39b44', 'e3f00fedd66a5a18', '2f04d4aea94eada2', 'e3e8d578bcdf23e4', '2075d6b4ba887069', '9411f16aee4d909f', '5cff1e4a72fd38dd', '09238d4624f16c55', 'fdf733d3297e24f3', 'eab2801e7ce5e17a', '2a6b47d35a74d85b', '3567e42cd469fe52']; context = [[9, 56], [61, 103], [45, 89], [10, 49], [30, 94], [14, 71], [78, 144], [1, 69], [16, 69], [183, 228], [127, 176], [26, 66], [0, 64], [0, 54], [20, 71], [57, 122]]; loss = 0.035224 low_pass_filter = 0.300
+Epoch 0: | | 25079/? [3:57:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 25080; scene = ['dd5e91b4024f06e2', 'f9a81a07c56f48e0', '74657f6618a55f19', '334bc3bd131484d5', 'bab67c28f4d7c51d', 'e28995b255868344', '5f9a86b7e44253fe', '1d66813a86fe0c17', 'a66645498ef9d1cb', '5792c9e2e44b905f', '0e6672c62a9100de', 'a50b756fe602d465', '4bb2c640159a3265', '31e3f6fe7dedfb1b', 'dd6c60a1cdf29b78', 'b818d1ecf495afe1']; context = [[38, 90], [93, 138], [45, 107], [36, 93], [11, 76], [52, 95], [3, 47], [10, 60], [3, 60], [48, 96], [9, 71], [90, 142], [16, 60], [87, 146], [5, 70], [22, 77]]; loss = 0.030412 low_pass_filter = 0.300
+Epoch 0: | | 25089/? [3:57:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 25090; scene = ['4c35cb67a64f2d48', '4fb5a592fc910ab4', '629d482dda9a53f2', 'efa2398f2080df3a', 'bf2680d4d480d914', '388cf64d2f0ceec5', '48c1000f6da27a64', 'fdf8b5f9f500a705', '2e667fb64ab04390', '9fddc14f5349e77a', '121a82c0523487a0', '6e405d9d8f674ab6', '28776a82c3302757', '1d2bf04b397af5cd', '23aeca1b7b3e453a', 'eb52fcf26d327e46']; context = [[8, 74], [12, 72], [20, 84], [32, 91], [2, 70], [1, 58], [33, 95], [101, 159], [7, 64], [27, 79], [11, 67], [62, 100], [4, 67], [17, 76], [50, 111], [208, 258]]; loss = 0.026190 low_pass_filter = 0.300
+Epoch 0: | | 25099/? [3:58:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 25100; scene = ['1cb9d805b4705d94', 'cd709c2b3b9e8632', '464d57ea5f1229b1', '5418ed938b5a82e9', '399bc252b234af29', 'f1ef33d26a5b1bf2', '912297ab9a98abc6', '9e13cbf563b9747d', '1c55c064cf34ad0c', '83fde523c371f3e7', '67e3c2f5fa57a159', 'c8d0caf183758d98', 'eb630841cdb3a850', '60b6914bafa3c3f2', '98fcfd8ffa22fc8b', 'f431cff00c684f2c']; context = [[94, 132], [119, 161], [170, 226], [26, 85], [0, 65], [1, 59], [66, 106], [117, 168], [107, 156], [103, 142], [28, 68], [14, 52], [17, 84], [2, 45], [126, 165], [36, 89]]; loss = 0.027593 low_pass_filter = 0.300
+Epoch 0: | | 25109/? [3:58:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 25110; scene = ['3cef9da1b69766f3', '060cd8515c39af86', '8b561563ddd202f1', 'e8c2bbf9edd2bfba', '174ef1693f1e77e5', '5981332b2e570137', 'd3ba8711a0704c3a', '66329d4d2cea4a78', '2d44cb40ad9f33b1', 'cf0bef80ad621a1a', '569814748e33dc27', '0eccd2c6e5c3747f', 'f0ff3f5228398f46', 'c26ef624913b531a', '0822254bb6527e87', '7cda83b61b52fb13']; context = [[21, 71], [203, 271], [2, 50], [6, 56], [55, 111], [9, 68], [2, 54], [12, 50], [13, 56], [108, 152], [37, 89], [37, 81], [102, 158], [27, 93], [31, 74], [2, 58]]; loss = 0.029611 low_pass_filter = 0.300
+Epoch 0: | | 25119/? [3:58:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 25120; scene = ['fae6b0485c4b48ac', 'aac681d019b30c56', '52c9ffc4ef2a36f4', '71c29ce63894ae3b', 'f77be837dba5f992', 'cbf43526fd464b32', '783ad88c8f9c4c7f', '2584b6752147b0be', '75ac71c654be685e', 'bb59055db453ff30', 'c18c0da0b86ded93', '0bdc7f573090746b', '2f82f0dbdd752d39', 'd3d44712e9d5a778', '3a93a5955496307c', 'e6ac76e77abf7ff8']; context = [[2, 40], [8, 50], [36, 88], [21, 86], [86, 146], [58, 114], [28, 96], [14, 65], [219, 259], [17, 81], [72, 139], [9, 69], [180, 228], [70, 122], [49, 105], [133, 183]]; loss = 0.027150 low_pass_filter = 0.300
+Epoch 0: | | 25129/? [3:58:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 25130; scene = ['197ff5c7287f0d9b', '3f0671b3aab75af7', 'b81984c3db6d299c', '8a44e9b2b9fa4231', 'b1d60da6d903d72b', '1dcb240325fa36e7', '17d52a5b96e9c278', '2e904050b495396f', '6439064a08d02629', 'f5b6c988d6461e03', '2773a6e9f10c1695', 'cfb684150c0d3084', 'c3ea88797ba49d4a', '7cec1efa34eebb2b', '695a69f73b976dff', 'e7428d7ad0472a80']; context = [[166, 205], [103, 147], [74, 120], [1, 39], [0, 43], [95, 159], [22, 88], [82, 127], [8, 58], [30, 91], [0, 60], [94, 145], [7, 73], [24, 70], [28, 76], [25, 84]]; loss = 0.026145 low_pass_filter = 0.300
+Epoch 0: | | 25139/? [3:58:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 25140; scene = ['94ef76e68046fcc5', '72c76753251034c4', '368109519bf4afd3', 'd001a09d4047c3d9', 'ec3fcc76dc7935b4', 'ff8cf27635ec8f79', '5a149fbb9799b5f1', 'a50412be59011ef1', 'af6b1c8a353f5f01', '95604de455068830', '4aabd0dd33849c4d', 'cfc6396b2c66cf16', 'efde93e3e23df6e1', '82d5cf26ac1ecbd3', '9b6ca3cfe5886688', 'c138e672617341cb']; context = [[42, 90], [4, 46], [2, 50], [19, 70], [0, 46], [14, 71], [0, 56], [0, 44], [113, 158], [75, 114], [2, 41], [130, 181], [134, 189], [82, 135], [148, 189], [7, 45]]; loss = 0.028735 low_pass_filter = 0.300
+Epoch 0: | | 25149/? [3:58:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 25150; scene = ['a1919a3be0610041', '4fb5a592fc910ab4', '388cf64d2f0ceec5', '5ea49c4330735de6', '4c35cb67a64f2d48', '0378b4978168d643', 'af09f44bba9e84f7', 'a9dac033ee8e97c9', '5c631011734e2067', 'b9cea03dac60ed8b', 'b62e21b875ee5c9a', '3ed72542d217a98e', '433dca64f1849830', '86881d5b0782d118', 'c0c758b51b097148', '8d842be57d4be356']; context = [[161, 206], [30, 68], [25, 66], [96, 162], [59, 99], [0, 41], [33, 79], [9, 63], [4, 53], [76, 127], [121, 161], [21, 70], [62, 106], [2, 50], [1, 48], [2, 45]]; loss = 0.028292 low_pass_filter = 0.300
+Epoch 0: | | 25159/? [3:58:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 25160; scene = ['aa24838f16305995', '7aee80abe39c7d03', '63eb524e44eeafbb', 'dfddc9d209e8f281', '9929dcc56e6ade90', 'db84f84b1d775bb8', '1807c250a83d90b3', '7c118e4cc07c075a', 'a5b68d36c4639021', 'e15484e3735812dd', 'b88508fa7b6a870d', 'c2d8c9cdc34bfb81', '2a9d20d8ed924d2b', '953913f710eb02c7', '52ba4ac9ee6a478b', 'f40474e9d43e7fc3']; context = [[24, 72], [158, 197], [6, 65], [87, 141], [2, 41], [0, 41], [22, 90], [27, 91], [192, 239], [129, 192], [1, 41], [122, 184], [65, 111], [4, 63], [14, 63], [57, 109]]; loss = 0.026538 low_pass_filter = 0.300
+Epoch 0: | | 25169/? [3:58:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 25170; scene = ['7885bd17267ecef4', 'bdd1f0f476f00873', 'f0054b426df26751', 'b3c0fb7f78f89ffd', 'f8e96138f7a049ab', 'e41b102e225468ed', '2f073899e03ce548', 'a4b22166c6fabdce', 'f19f4b64db82994e', 'd0070efeb831b3c6', '8184898784ab8366', '32e02be2574101b2', 'be06cb0dddaf9da6', '24b67dbb503a87b7', '9059042bbf51985f', '07e43ec814c3ae7f']; context = [[0, 38], [27, 87], [82, 136], [90, 135], [7, 69], [5, 57], [107, 175], [94, 157], [162, 216], [63, 128], [0, 42], [101, 146], [124, 185], [88, 143], [22, 74], [71, 135]]; loss = 0.025263 low_pass_filter = 0.300
+Epoch 0: | | 25179/? [3:58:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000train step 25180; scene = ['e617d57877cde526', '62b236553c63fece', '60ff26df8d284a27', 'cf78027fd4790810', 'fa42d332a3b845b4', '56ea303d0208eee2', '7fc3c9ec1c938fe7', '53989f07ffed6e2b', '1f2f3463069ec6c6', 'efce7264206c4d36', 'e367fd33b59dbf40', '0af84dfcb9f53f97', '3aab66fa01a69daa', '528b96fa2edce81a', '68dd157e5cdb64bf', '4ed711808ac6f7db']; context = [[33, 82], [41, 85], [53, 121], [136, 197], [0, 45], [22, 86], [0, 65], [8, 57], [39, 78], [62, 105], [22, 68], [39, 88], [35, 86], [36, 94], [33, 91], [49, 112]]; loss = 0.023841 low_pass_filter = 0.300
+Epoch 0: | | 25189/? [3:58:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 25190; scene = ['ab11edbcde7de99d', '0e6672c62a9100de', '96f6c82c9c693df4', '3c136b7d09306029', '4787f5b4b5402ca8', '1220a49e5babaacd', 'e9a1cdca9abf71b2', 'd79a09f5a0487ad2', 'da54e4571a2f4637', 'ead979aa76eaa492', '41c2363d43d3d712', '9bafc381dbe8264e', '32ae85ad2e5db58d', '54354a0322534606', '0902983e76d12d43', '69916f6abedac5b2']; context = [[31, 72], [59, 127], [209, 254], [21, 74], [19, 70], [19, 66], [54, 118], [165, 233], [74, 137], [9, 63], [167, 215], [9, 60], [8, 59], [76, 137], [2, 53], [141, 179]]; loss = 0.027893 low_pass_filter = 0.300
+Epoch 0: | | 25199/? [3:59:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 25200; scene = ['ba5e5fb5abf3ed66', 'e7a85a4315af4cc1', 'e0686e6326f8c08f', '54e3c15407bfd54c', 'ed70d0293aae43d1', 'f76feb4610bb70a5', '957a51e4ffa1a8fb', 'ab42a131df988c32', '51799f9a8eacb945', '726cb0d916e76398', '3f08d16d1419ce64', '70031b2dc35b676a', '154abb0ceaa93fa5', 'bebaad423dbc6559', '20bdf8e95b77420d', 'b1057c3128c831cd']; context = [[63, 129], [12, 67], [180, 247], [0, 47], [15, 69], [22, 79], [106, 144], [56, 102], [31, 71], [0, 47], [0, 63], [1, 64], [35, 92], [164, 203], [40, 105], [17, 57]]; loss = 0.027456 low_pass_filter = 0.300
+Epoch 0: | | 25209/? [3:59:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 25210; scene = ['4466e384294450be', '67b48a8ef26faa69', '05f68f205088615a', 'e82f58c638cf3f5e', '1672c494acdf9a51', '52ff08cf915f9890', '177ec27d1a094371', '23c52859f21f94ec', '65d52755ddf504a6', 'a9aa19912b72f767', '42b4c926e4c0b0c3', 'd8af738fe0e075cd', 'c364ab8ae4c07ec2', 'd80659d665f7b903', 'd3c13f24d1748e4e', 'a588073ae3085066']; context = [[62, 104], [9, 68], [26, 66], [56, 104], [34, 76], [40, 78], [7, 64], [63, 101], [16, 66], [70, 116], [21, 73], [78, 125], [18, 68], [111, 174], [67, 119], [188, 254]]; loss = 0.023882 low_pass_filter = 0.300
+Epoch 0: | | 25219/? [3:59:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 25220; scene = ['1ddd88c201e11018', '04c82b5a0f572349', 'c0d90742fa7c4fd6', 'fee2f7c24c6d5e2f', 'c7d7d42e4b3136cc', '58aec0707d094569', 'a025eda8d656783b', 'db25ce184054217a', 'db062134f9dec5f1', 'c37054cf8ffe745a', '6713a81ed431d91d', 'c8c116c28ca108b0', '5d244ada6c250442', '7db4ed902d003a63', 'a9070de00e86feea', 'da127d5d82256afd']; context = [[211, 273], [55, 118], [34, 98], [96, 157], [4, 47], [45, 109], [93, 142], [61, 129], [1, 64], [48, 91], [1, 69], [193, 248], [1, 57], [114, 164], [3, 45], [39, 79]]; loss = 0.027851 low_pass_filter = 0.300
+Epoch 0: | | 25229/? [3:59:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 25230; scene = ['d677f3e6092f2fb5', '71ffdab54dd4d5a6', '30ed18ab2cc0e103', '7002050eaf600751', '3b55d9ff7f824fb3', '1b97512a507c1af7', 'be46f8455477ba86', 'ba46035ebb408dd6', '4ba1c378fd584bdd', '677f2e47f3371b23', '6d68e73f69d73d07', '09ab565950cc3b2e', '19c1be98c8cc8c2f', '2359aae1dcdcad57', 'a33ab61ae99bf117', '67fea88caebb1c14']; context = [[0, 62], [10, 59], [29, 96], [37, 86], [117, 161], [12, 74], [154, 219], [56, 108], [1, 52], [0, 64], [26, 90], [4, 46], [3, 63], [8, 74], [2, 43], [17, 58]]; loss = 0.022300 low_pass_filter = 0.300
+Epoch 0: | | 25239/? [3:59:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 25240; scene = ['4da0a7cb9fb12d2f', '990b5bccc9ec5219', 'd3c2119c388d1fc4', 'c15b01bb70c6a984', 'd8f5b070231de1e7', '52aa39175c690eeb', '4e8658949aa96662', '11d2d3c8b02515a6', '5b8556064467bbc2', 'af62f7a58c1c979b', 'f841958b4f3ea9b6', '56fa6943fe8aca9b', 'cf1c8a8fb8347d9f', '0c55d99325327032', '1be5dffa99a9743a', '0fa3084a8ad67f81']; context = [[45, 112], [66, 122], [11, 69], [25, 74], [39, 92], [1, 48], [2, 40], [91, 139], [35, 81], [144, 192], [41, 100], [17, 61], [65, 127], [6, 56], [5, 57], [50, 115]]; loss = 0.028206 low_pass_filter = 0.300
+Epoch 0: | | 25249/? [3:59:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 25250; scene = ['71753b7d416adcaa', '4ce6c5b15de6f43c', '6cf6f96bfa3da0c5', '45d83e284f33082f', '7a159ffb882659db', '87c675284f595cdc', '9cbc68c41da0fbc7', '03f4ab4ac23f39e0', 'e281213868014707', 'f2feba8931477baa', '37c9f8c6a4114474', 'c7525636cfe06a5f', '247d3873d5f3d9f0', 'd2b1e757b2e26c24', 'c2ea58f98a5f2338', 'eb382c47fa4f8f39']; context = [[8, 55], [48, 91], [33, 91], [2, 40], [23, 64], [13, 71], [39, 98], [0, 58], [0, 55], [17, 67], [9, 54], [27, 84], [2, 51], [65, 120], [29, 80], [71, 112]]; loss = 0.023467 low_pass_filter = 0.300
+Epoch 0: | | 25259/? [3:59:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 25260; scene = ['0d089a7777ef9331', '91245106e17ab7d8', '4bd505299fae2fbe', '4b66bc17968e1d91', '54f45e1925ba7ec4', '43c0071c8ff680a6', '54155dc6235143fa', '1c262359b446ffb8', '438bfa064bca8f07', '2d0bb20ef2507c33', '3c56d27758531556', '67f02d86628f20e6', 'b4b8ae61f71c6318', '939847209cf6cfa9', 'd92a6ababd47f047', '43739f82f554c901']; context = [[6, 68], [13, 81], [9, 59], [30, 76], [75, 137], [181, 236], [0, 48], [52, 116], [9, 49], [183, 242], [85, 148], [39, 90], [1, 44], [1, 57], [180, 222], [103, 143]]; loss = 0.025073 low_pass_filter = 0.300
+Epoch 0: | | 25269/? [3:59:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 25270; scene = ['47a8853f48974faf', '398fc172733ae106', '8ca97af66552f055', 'c12b4b8fce580e89', '87fa399fdd73af24', '8c9eb97a7653d4f0', 'b020cec718b2a496', 'b791fb38e3fd8d03', '06fbc8d45e60e49b', '1844d01379136fde', 'ad498413c27daaf3', '374040fd2830320b', '7e84f5b757150df9', 'c79efdec1cdd45cc', '13e7b6934e6579c5', '7759fb0b4c2719d5']; context = [[9, 63], [12, 65], [106, 148], [8, 68], [0, 63], [20, 81], [3, 64], [135, 193], [5, 44], [12, 68], [31, 98], [18, 67], [101, 160], [3, 68], [158, 220], [12, 51]]; loss = 0.028346 low_pass_filter = 0.300
+Epoch 0: | | 25279/? [3:59:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 25280; scene = ['1e45a9e642f91197', '92bd10e9323fe423', '6a61530613e80e63', '851eb1bd00509e03', '0858737cc9d1c3e0', '52b9e011c488d98b', '9112a327c48c8a3b', '8eee7c848d368b0d', 'a7ced7f8944eb3ac', '20b6a336f9268d76', '25b0f2dc07ebe855', '2a569041a6d85d9c', '3da05d3eb5207cde', '49952f737be91dd2', 'f97a862ad842d7b4', '220a7e74010c2476']; context = [[28, 94], [0, 53], [1, 40], [54, 102], [28, 72], [5, 73], [15, 53], [23, 76], [51, 102], [129, 188], [124, 177], [160, 223], [115, 159], [105, 145], [27, 71], [7, 74]]; loss = 0.026702 low_pass_filter = 0.300
+Epoch 0: | | 25289/? [3:59:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 25290; scene = ['7a6162d260dd845c', 'c72a6c3ac24e0c6b', '6e3ccf2193f8275d', 'd53e18e895fea170', '84740fb6b7e7148f', '6ab869711e65a527', '28039ea78b84ff46', '8438f949cbd62c23', '861a970a54cc1efb', '41905c60a21ef567', 'dcda03cf03c7c287', '996074b95549ba5e', 'c403c63210eaef23', '04f090fd282ec1a7', '581515abcd09a7f5', '85d5c64669a83b40']; context = [[22, 89], [2, 57], [29, 79], [114, 157], [56, 98], [5, 57], [45, 92], [11, 54], [12, 74], [4, 55], [186, 229], [11, 64], [3, 46], [37, 78], [8, 51], [14, 82]]; loss = 0.025493 low_pass_filter = 0.300
+Epoch 0: | | 25299/? [3:59:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 25300; scene = ['41b75f50a603fe9b', '5e1da375ded17ca5', '445112299044c265', '58445fdf7117ea45', '206ab8a8f71bc4fc', '789e3dd7a059f5d3', 'f7f0e9c9bb11a8f8', 'f2d5fa6533aa8ff8', '42f9555cc5b7f279', '095b327d0991f54e', 'a28a3e656cfcfeb7', '7dd60bec52f5cac0', '5234deee5bf92f77', '28dfdf09d7e7f141', '6b03d5d098527b69', '669e90f57cbf67dc']; context = [[24, 75], [22, 64], [22, 90], [2, 63], [10, 59], [51, 91], [0, 64], [45, 105], [23, 76], [148, 195], [43, 111], [86, 134], [205, 258], [64, 127], [55, 107], [9, 71]]; loss = 0.029614 low_pass_filter = 0.300
+Epoch 0: | | 25309/? [4:00:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 25310; scene = ['c693f4050f6b5544', '6e4df62f37b315ef', 'f74f0f3c1a554cd3', 'a393872941dbf17c', 'c0b62e7d58ab78b8', '2ec36b44cc18b5ed', 'a9070de00e86feea', '656546e561aec370', 'c37054cf8ffe745a', 'da127d5d82256afd', '6713a81ed431d91d', '5d244ada6c250442', 'd34fb0e92018e2a2', '58aec0707d094569', 'db062134f9dec5f1', '7db4ed902d003a63']; context = [[167, 232], [48, 103], [1, 60], [93, 147], [25, 88], [2, 61], [26, 74], [19, 76], [158, 218], [0, 55], [92, 135], [0, 57], [9, 48], [60, 112], [20, 63], [38, 105]]; loss = 0.035612 low_pass_filter = 0.300
+Epoch 0: | | 25319/? [4:00:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 25320; scene = ['966efe3a05c222e3', '50727c2fc099f9b4', '2c1ea4ebc9475e24', '8d53612ee7f88bc1', '75cbf5f3c4e202b5', '4b5e8159d8989d91', 'ad459619c3a9a247', 'ea721fd4e3e0be8b', 'b1e4b35cbe3f6094', 'c43f6cb71bd73cdc', 'c6d16d8171fd7cd9', 'c7aa7a7671b8b200', 'd1a233764dfafcf4', '7f4353922e24e719', 'c25c954d46c315f2', '574417986f69166c']; context = [[30, 68], [29, 96], [37, 96], [2, 66], [16, 69], [18, 79], [35, 98], [2, 45], [77, 117], [185, 241], [65, 118], [29, 88], [2, 62], [33, 96], [41, 108], [215, 257]]; loss = 0.026449 low_pass_filter = 0.300
+Epoch 0: | | 25329/? [4:00:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 25330; scene = ['b0297962c0089ed6', 'fcee35b9d73232c0', 'e3badc148ab39dab', '47c3b50322e55489', 'f25b83126f93a7bc', 'b4fefac33cb2a6fc', '494c8291355b23f6', 'e5bfaf251bfc0fdd', '5308fcbbd3d32d10', 'c52b2004b86d0129', 'f0f162a8d6619fae', 'b43b9870fd778691', 'f1b09696ccbe7ed0', 'ab1ba9f15e793ef9', 'a68e5234178a994f', '67b791a20f8f50e6']; context = [[84, 131], [72, 122], [149, 191], [3, 46], [165, 220], [121, 176], [34, 84], [3, 68], [7, 62], [66, 124], [69, 128], [5, 71], [205, 271], [109, 163], [5, 59], [22, 78]]; loss = 0.079507 low_pass_filter = 0.300
+Epoch 0: | | 25339/? [4:00:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 25340; scene = ['5706ec8a29ac1540', 'eccc846dc587a4fe', '0b7f965ccd404bef', '7249540ddec693f0', 'cdf3b28814b65c1f', '3a3ba34619ff6f56', 'c1bec88535f521d5', 'e98a769801fc68ae', '6eb03980a476da14', '79d73aecb3589720', '2532d213114b0ed8', '34aa700b2c35219b', 'd772183ca03ffcb4', '0f3c41decac6e826', '83f927b94f04feca', '304796375251c562']; context = [[0, 49], [1, 56], [78, 122], [26, 81], [103, 169], [2, 65], [1, 69], [13, 52], [9, 53], [15, 63], [123, 173], [7, 60], [56, 122], [38, 79], [74, 112], [19, 58]]; loss = 0.027623 low_pass_filter = 0.300
+Epoch 0: | | 25349/? [4:00:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 25350; scene = ['507dda4c1b722c23', '3e1feff79d244282', '5f0d7d76e4b7fcc9', 'bc7cd2216dc16470', 'c25ab122990f262b', '604fce37011c3594', '11dc92ba5c0e1ac3', 'd2443f80e34394ff', '625ef197fa165c4a', '96bab6e15eb77d4e', 'bb0c96ae5026135d', '9f947caefbff7bf1', 'ff70172dd4ad43ec', '9af18a1c4c45a179', '72edfad4ab7268f2', 'a62bd02a1223b0e5']; context = [[70, 119], [55, 121], [3, 70], [13, 62], [42, 95], [4, 62], [68, 110], [0, 45], [91, 149], [34, 100], [28, 78], [1, 61], [46, 93], [91, 150], [158, 207], [80, 123]]; loss = 0.025691 low_pass_filter = 0.300
+Epoch 0: | | 25359/? [4:00:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 25360; scene = ['3397c19634a51370', '2b4606d25fb7a6d4', '526bd972a8927785', '8244df16c1d41828', 'e100eb211d35682f', 'b16275ed32b6dac7', '7bb2c23612182a9d', '5b6de14baf07db34', 'b620104d7854f90c', '6c57529d23472eaa', '1f363f252ab03f7f', '2b5cc7b68737821f', 'ccfe340d043d8e01', '083d8700afad2b76', 'afc8e955b8c9517a', 'a1d655a4e5b6c1dd']; context = [[4, 63], [93, 142], [8, 62], [22, 69], [8, 55], [32, 80], [141, 202], [102, 155], [25, 69], [225, 269], [3, 43], [4, 67], [48, 110], [14, 72], [57, 110], [17, 67]]; loss = 0.022440 low_pass_filter = 0.300
+Epoch 0: | | 25369/? [4:00:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 25370; scene = ['efdf5de615e94ae0', '77c003fdb097bd57', '2e62cfde60be91b2', 'a68a1811510d9752', '4a4cf92146dbf416', '4a799d9c15a25e4f', '0af825db9b9ad51b', 'bb355d47dc6297ab', '1e577c2db0f77f6a', '3f96f1eace6d5d75', 'c90a1b6872dec9f3', '38603d74dae54d1c', 'ce418ca65922b5bc', '509f8d933a7dbc98', '0805f792d0b10be9', '316afc5161bb6b7b']; context = [[37, 92], [39, 92], [15, 53], [0, 49], [16, 66], [5, 58], [2, 64], [13, 73], [4, 54], [7, 46], [26, 66], [100, 144], [15, 55], [28, 84], [50, 99], [169, 225]]; loss = 0.024524 low_pass_filter = 0.300
+Epoch 0: | | 25379/? [4:00:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 25380; scene = ['a1fc11e482332be9', 'f477d21e9a8df662', '63defb4f4156976c', 'b6769d0c4be27610', '25981436106d621d', 'a7f60ce61f15c284', 'e9c5aa0b62318e18', 'c211eafa20d6c2fe', '78f2bb288dfb07e5', 'dad96ef78afa5f7b', '225a3dbc1dc4f7d4', '0ca1a94df7987762', '28880239a1b0a38a', 'd6fe2b5e5c936c9f', '577bae9426456dc5', '191836b21424305c']; context = [[15, 74], [30, 98], [119, 180], [2, 44], [62, 101], [11, 57], [14, 75], [26, 84], [23, 91], [83, 140], [69, 131], [84, 137], [20, 67], [25, 66], [157, 221], [2, 61]]; loss = 0.029805 low_pass_filter = 0.300
+Epoch 0: | | 25389/? [4:00:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 25390; scene = ['6b95cb189005c838', '03e1195eb5892975', 'a578a7eefb3185e2', '9bacab93f8408fa9', 'a1e4e09033c1fe21', 'c686bf8e528d9860', 'fa1ddac84aafd9b7', 'd76656b17ab785d9', '57760b17957e51bc', 'dd451be539f8e766', 'bbc6cab96f65f530', 'd2b7eb7053317a54', '3398946074525d57', '955c78878088bddb', '30aa490b63d46724', '8c61e3046e40bbc4']; context = [[68, 107], [2, 47], [5, 43], [190, 251], [5, 72], [4, 43], [34, 76], [36, 98], [9, 53], [71, 135], [6, 59], [17, 65], [34, 79], [146, 186], [5, 51], [22, 79]]; loss = 0.026239 low_pass_filter = 0.300
+Epoch 0: | | 25399/? [4:00:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 25400; scene = ['ca3ac3916c953d96', '9a6346447cfb89fe', '2c724de77e54918c', 'e7071c9b8fa316b5', 'ffa4dc6e57c3eca9', '972cc2a151ed4d35', 'e91be8e4dc0677ec', 'd2f26d374cc9fc43', '2212340b10c882aa', '727926e871e31d5d', '7d2f9ee3c5ce33ed', '787087197658242b', '02314047509da14e', '4683f860709f3393', 'c2e52b2ebe3e7c58', '95d2c6fca1508481']; context = [[203, 271], [24, 87], [138, 200], [159, 199], [52, 109], [6, 49], [86, 124], [6, 52], [29, 81], [4, 71], [1, 41], [30, 93], [1, 41], [3, 45], [1, 46], [76, 125]]; loss = 0.026807 low_pass_filter = 0.300
+Epoch 0: | | 25409/? [4:00:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 25410; scene = ['f8b0d1e280daed5d', '42e11bb83f385317', 'f52ea4df10c6472b', 'f13dcb3a9ac8a857', '67353f28c5452f17', 'c7be7b75f1571013', 'c9c985820d5ccef9', '1915fe94c9a3ffe3', '948978fda6851a90', '0765f921b5446d8e', '1e31b7611058ffc1', 'd0742930092e8f5e', 'b42ea7355de20abd', '0ec74c80b0542c7d', 'ee16ad65a39902d1', 'bf02e2f3f0047779']; context = [[25, 78], [111, 154], [1, 42], [9, 55], [32, 82], [15, 75], [128, 175], [60, 109], [103, 146], [12, 73], [3, 64], [173, 233], [132, 171], [35, 101], [79, 135], [21, 76]]; loss = 0.025896 low_pass_filter = 0.300
+Epoch 0: | | 25419/? [4:01:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 25420; scene = ['fd5fe10030ea799f', 'a127a55b1800e045', '7bdea6db35948489', '85d656780a8a6044', 'f0f9efd1fcd65311', 'c7fdc5b33f01a570', '85bdfdb7185f9443', '8b51e270df0c9284', 'd94eba604f88e9c3', 'd7adc331c74563b7', '75b018db77600c92', '993f5f375f822648', '0728256e1cc24f2c', 'e261bbfcfeab2ce6', '3e228d07ae6f8c54', 'cc64c0f4b6918914']; context = [[2, 56], [134, 192], [49, 116], [1, 45], [1, 53], [58, 109], [30, 76], [1, 68], [5, 49], [88, 141], [0, 67], [13, 74], [46, 88], [1, 63], [0, 38], [68, 117]]; loss = 0.024931 low_pass_filter = 0.300
+Epoch 0: | | 25429/? [4:01:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 25430; scene = ['48c2b63b452555af', 'aecfc6c8ebc6c15e', '80b044471fd710b5', 'ccb0540f2d49483c', '68303c5bb3b62706', '6de43fea1f9cef11', 'b2c65f94460ad653', '8f243590d88e28db', '34bd9723166c9978', '8839e65c6f6bb394', '801586ab8ddd3bf8', '47039a17b7256772', '3f0b9fd1e32d9ce3', '1ae35c468d598029', '07fdb102ee3677f5', 'ed87baa6df1198b9']; context = [[25, 94], [16, 80], [23, 68], [127, 169], [71, 125], [94, 162], [20, 67], [29, 91], [28, 93], [40, 100], [41, 105], [18, 79], [82, 144], [75, 117], [18, 64], [27, 69]]; loss = 0.024566 low_pass_filter = 0.300
+Epoch 0: | | 25439/? [4:01:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 25440; scene = ['8404eae21432063c', '7b18ad4131a3c318', '5a7cc6854438d617', 'c4ae95c34e204d53', '7ad5e90fc8434219', 'c1a04c25ccb94aee', '6897a323d67edc41', 'a27aaba0c4a2b558', '3a5fdf1030d55af7', '91d39686ae23230e', '0eb3fd35dea6dea0', '4cc30df9ffe2c183', '501c7fced48eba59', 'a39df60612b60375', '9db124880f8d78ac', '9c9b04a677060b5f']; context = [[13, 52], [59, 126], [153, 216], [0, 40], [128, 188], [109, 178], [13, 78], [8, 73], [9, 65], [23, 78], [20, 61], [17, 58], [23, 67], [37, 82], [117, 174], [67, 135]]; loss = 0.029494 low_pass_filter = 0.300
+Epoch 0: | | 25449/? [4:01:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000train step 25450; scene = ['fe55cd1565d9cb79', '046d75590f2a2769', 'afb74b4aa8e93a22', 'b733def1f2d6f475', '3e228d07ae6f8c54', '882182e89dd66eed', '3c2c6247ba2354fc', '993f5f375f822648', 'cc64c0f4b6918914', '8b51e270df0c9284', '486b548dfacda9fa', 'd7adc331c74563b7', '75b018db77600c92', '0728256e1cc24f2c', 'd94eba604f88e9c3', '215eb0b87decb587']; context = [[31, 70], [74, 138], [0, 38], [97, 136], [0, 38], [14, 57], [4, 68], [25, 81], [22, 81], [23, 61], [4, 68], [53, 93], [18, 66], [16, 64], [1, 46], [2, 67]]; loss = 0.022290 low_pass_filter = 0.300
+Epoch 0: | | 25459/? [4:01:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 25460; scene = ['af2bf37f747ea039', 'd417f1cac4a30c14', 'e4965e111cb66be0', 'd6211fae193ad931', '815fc179de449468', 'd00a6449d44d9822', '2946089a31aa5810', 'f2a78c5c272a3009', 'ef29879c5829b95a', 'effbcd5b21e5b087', '75b546b0482c602d', '2721d4e119602b3d', '7b2f71462829b280', 'd33a9339f83571d1', '417c9606a7d23e1e', 'eb2b6994b8429b1c']; context = [[38, 78], [74, 131], [3, 70], [135, 193], [14, 57], [9, 48], [80, 123], [8, 77], [6, 57], [12, 51], [52, 101], [21, 81], [234, 272], [16, 79], [4, 71], [4, 60]]; loss = 0.032141 low_pass_filter = 0.300
+Epoch 0: | | 25469/? [4:01:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 25470; scene = ['373ba08bcfc84006', 'ba7bebabc6b4f278', 'b123704b82a98e73', '0f26970967ddf02c', '3c523af7b2936cfb', '2be6123f9c853872', 'cbe0c9fc3dbd7684', 'ea5ec2bf7f186ed5', 'fe41521588b2ba41', '6c0bdb5e8e11f0de', 'aa2b3732c2717859', '086d3516db9b7109', '80a45916e1f5ae01', '8c7383b85f475330', 'b9c46af1909b96a1', 'c2e9139a0b8292bf']; context = [[86, 133], [2, 51], [73, 122], [11, 55], [41, 94], [29, 81], [51, 95], [6, 61], [47, 99], [88, 133], [9, 69], [0, 41], [10, 72], [110, 164], [4, 56], [11, 72]]; loss = 0.028877 low_pass_filter = 0.300
+Epoch 0: | | 25479/? [4:01:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 25480; scene = ['8b2c69b736f247cd', '073b1b758d5b58a5', 'b16d01b150c3363e', '7ec761021eb0028b', '65c4fbae3daf2d8e', '16a7d92bd74000a1', 'ac4bb258d49d0f98', 'e772de3085cc5ddd', 'ed620e1c813d47b6', 'fcb56cad6e48c882', '17b59c28edfde65a', '794bdbdbe73ddbc1', '24c48d5c3c1ad376', '5292e7c51d6b4aa5', '38a2086e32a5ffca', '33257013360b25e6']; context = [[18, 72], [7, 47], [15, 73], [15, 56], [58, 127], [48, 98], [1, 53], [14, 65], [4, 46], [16, 75], [21, 61], [0, 67], [199, 238], [19, 79], [94, 160], [90, 135]]; loss = 0.028717 low_pass_filter = 0.300
+Epoch 0: | | 25489/? [4:01:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 25490; scene = ['d23c79a0286f926a', 'd5b78c47a83ea85e', '7f9480301fa3e38b', 'a45c32806ab77c9e', '4348fa85c0757b62', '73b5643967208518', '8e5d094c4fcd3c3a', 'ddc432d005784196', '0c624be452931981', '3b8e927ed2e703cd', '80fd51689742e978', '23929cb345635451', '0727389bfa97166f', '75371003a36624c8', '94c931fd2c558de5', '42158adb6f145f4f']; context = [[91, 136], [57, 95], [61, 103], [3, 46], [61, 116], [1, 49], [63, 129], [23, 88], [2, 50], [0, 61], [112, 174], [5, 48], [5, 66], [56, 123], [82, 122], [4, 63]]; loss = 0.032915 low_pass_filter = 0.300
+Epoch 0: | | 25499/? [4:01:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 25500; scene = ['52e630efc8cd0959', '5eef7d76653d3c85', '6b599a4d8c7d7275', 'c15e9f65e844881b', 'bb39c536bac5c2b8', '63b4b7f92377b7d1', '4fed2921695a07a0', '1aebe80dd6346b46', '08ff3470b32680d7', 'ff4baf1fa516e521', 'fee419913751e69c', '6212b6c618036592', '525228f8d23ba3c5', '4b2f7bb82caea25a', '6e66c457e475a239', '7db6add2937e3476']; context = [[43, 95], [83, 133], [182, 232], [5, 54], [8, 55], [9, 71], [0, 55], [106, 171], [2, 46], [140, 196], [141, 204], [90, 146], [121, 168], [0, 60], [0, 55], [6, 67]]; loss = 0.025294 low_pass_filter = 0.300
+Epoch 0: | | 25509/? [4:01:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 25510; scene = ['60af97423a0eaf57', 'd29cd0ffcbc3dfaf', '6031294804b8979d', '04ad9f32c83f28b3', '56d1fbbe9848c802', '42b03fbeeaf5dea9', 'c6683515f5c374fc', 'ada0aa81b633c33c', 'd51cf8e527ea5cad', 'a6463fb1c9e10282', '5c81d3506aa61647', '264626db21145229', 'b913fc397ffe5b87', '3541705e5a095fad', '74ed41fdbece3110', 'b95a2ce1d191fe04']; context = [[33, 97], [25, 86], [130, 197], [55, 101], [20, 86], [0, 69], [8, 46], [1, 61], [128, 179], [0, 39], [31, 94], [110, 166], [25, 77], [16, 59], [77, 145], [33, 74]]; loss = 0.031377 low_pass_filter = 0.300
+Epoch 0: | | 25519/? [4:02:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 25520; scene = ['cb168186fdab3271', '9fde0d7ec4b06f6c', '9c269fce78f0dd27', 'bcec4cead9a8da81', '1baf2b5812122e3e', '27b941a8289558a3', 'fcbd35c9fec04992', '18a6c0778918ffbf', 'd101ed7d57d47b7e', '9974cb0399a06dc0', '3222c6f65e953650', '16333d9914d5937b', '7f58de9f7313a9eb', 'aa9de0129abc32aa', '99024f17cee81656', 'c79e9ac3b6ae802a']; context = [[217, 277], [177, 224], [3, 66], [53, 96], [25, 67], [0, 40], [10, 52], [1, 52], [8, 58], [0, 56], [97, 137], [46, 92], [27, 80], [42, 82], [13, 51], [32, 70]]; loss = 0.028343 low_pass_filter = 0.300
+Epoch 0: | | 25529/? [4:02:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 25530; scene = ['458e67c3c4dfbf24', 'e1da66dcfb584564', '6803b3d46e5a2c7f', '5a2447dbfc1bdfac', 'db5e3b998bc94027', 'd005a2c5e04236b7', '9bd7044e7cbf8e60', 'b75f3820760d835c', 'ea048e21097e9eae', '3977e67f033992e8', '37ca658a68ab4210', '2b0577494f564adf', '26ea8cc2791328c2', 'ac64989dd2b2a22a', '21c1d6f293998c88', '74eb411688ba5e15']; context = [[1, 51], [66, 110], [4, 64], [106, 162], [5, 56], [28, 68], [8, 74], [22, 74], [61, 119], [4, 50], [22, 73], [53, 99], [144, 198], [35, 97], [14, 72], [8, 70]]; loss = 0.024816 low_pass_filter = 0.300
+Epoch 0: | | 25539/? [4:02:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 25540; scene = ['c84ce7b291806055', '9dce78c1dcd85327', '2a816c674416d597', '11f3ee09a95c385b', '1a9b4d12c5b517a5', 'f41c119ea504e8a8', 'f15bac67b7a07933', '87e78ff298b1cd97', '95390743755ea23c', 'c2311a649b12cea9', '4e145d26377a414b', 'b33803d3409e57d9', '24aa7d35a296bf5b', '00c7f4d292a58bd3', '29813418d3210005', '7a93a1f75a9636ca']; context = [[49, 91], [63, 108], [171, 229], [18, 77], [15, 57], [0, 66], [6, 63], [2, 43], [75, 117], [23, 72], [35, 80], [0, 47], [62, 103], [17, 79], [15, 64], [8, 57]]; loss = 0.027080 low_pass_filter = 0.300
+Epoch 0: | | 25549/? [4:02:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 25550; scene = ['6b643ea7fd9a47f2', '9f710f017b023a0f', '7523be2bd95f683b', '01fd1eb6cc528bf4', 'b19972ab772a18f4', 'f30c1287b499b59f', '0653c0585c65ef9b', '4de68fe45f2cf8da', 'afcf166d35c344b9', '277808ef17892255', '7b1c88b4328c29f8', '1adc869076b62522', '40705672cf881305', 'e48218dcf5a6fcb4', 'b409b939c42031e5', '73c2ef569a3b523a']; context = [[43, 83], [201, 253], [2, 69], [16, 75], [9, 78], [122, 185], [32, 96], [109, 164], [9, 54], [66, 112], [1, 45], [128, 175], [29, 86], [125, 193], [27, 94], [9, 76]]; loss = 0.029696 low_pass_filter = 0.300
+Epoch 0: | | 25559/? [4:02:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 25560; scene = ['b5be3cfa849d6bc9', 'fb3a12e72b856bd0', 'cc66dbb6ad5276a3', '4203a06d618eeb97', 'ce0a99ce7be19bc2', '594699f10a03e335', '2023fadef11c9efe', 'a79512c29cdcc8d8', '2c97c067544af4e8', '8b270446ed2d50fa', '89f9d9c77b1db0a5', 'affaaa5bb0d68796', '509a7f772b62dbbd', '90f753de7db1aedc', 'abeb580aecd06433', '8f777c5232c24538']; context = [[55, 107], [37, 106], [25, 82], [76, 118], [156, 217], [37, 85], [1, 69], [14, 76], [6, 44], [47, 95], [9, 57], [14, 68], [217, 268], [145, 196], [61, 104], [3, 43]]; loss = 0.031578 low_pass_filter = 0.300
+Epoch 0: | | 25569/? [4:02:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 25570; scene = ['b920fba1921824ef', '15c541d233b99f32', '1d155fc2dbf621c1', '0e52986b67e75cef', 'be811134779e7c95', '1ddfb57e650ff7b8', '5f5676c298828c45', 'e0b4d5d763af7191', '66e50acd846b2cd1', '6f06edf5869507d5', 'eb18adfdb3125bed', '692c8f1a1ba8d95a', '7d4f88d897aac9e1', 'b5228b26c99db999', '629506e3f6b8d7ab', 'fa14af07fc50d2ce']; context = [[15, 57], [104, 172], [18, 71], [8, 56], [1, 67], [30, 71], [9, 68], [3, 62], [212, 264], [7, 71], [1, 63], [36, 101], [1, 65], [24, 78], [39, 82], [69, 134]]; loss = 0.029195 low_pass_filter = 0.300
+Epoch 0: | | 25579/? [4:02:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 25580; scene = ['1932b5da26849498', 'c56e0d67e4d6c3e1', '0294b1cb70478a95', '156af9c6ddbe679f', '4e234250febdd495', 'cd4b6bddafd166e5', 'f493ee914a673ff5', '840e57a017357225', 'dcb7551919456931', '69293f51157ba0fb', 'd0e60247bcdb97b2', 'd2eed88e19cfd9ca', '68a409152fc28a55', '2cf0d10ee85e7610', '53dd78c4ec2ce869', '85abdea85f9965c7']; context = [[97, 156], [6, 58], [43, 86], [1, 47], [8, 62], [31, 77], [5, 54], [37, 83], [10, 64], [1, 41], [4, 59], [15, 55], [206, 244], [0, 62], [4, 73], [2, 59]]; loss = 0.028943 low_pass_filter = 0.300
+Epoch 0: | | 25589/? [4:02:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 25590; scene = ['7070aa1236baa8f7', '6dedb218c00a084c', '2e72193bbf197bd5', '2653a2f787580744', '3a61fb6b98ef4d90', '80e81e341b65a870', '9819b646b98a16cf', '23239944ae5320b2', '67bfb1615102109e', '2a57757b60e76cb2', 'f2fae71744cd5443', '3899768cb1c16293', '810f74775db97784', '1a19d8dc9c410869', '70d4b8db4ed39f14', '6b8879627b5e72b9']; context = [[56, 117], [20, 89], [99, 165], [17, 79], [129, 175], [103, 148], [75, 139], [103, 151], [12, 78], [4, 49], [124, 175], [25, 66], [5, 45], [9, 68], [0, 51], [16, 68]]; loss = 0.027673 low_pass_filter = 0.300
+Epoch 0: | | 25599/? [4:02:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 25600; scene = ['d4dad31efbf0751e', '959c12d7674abe3e', '56470170ac493354', '1aa060fe73f3de33', '0ef454385d221501', 'c738caa1e61fe2bd', '592e4767cc7518e3', '3e26a7ae81ed795d', 'fb80a9f037b6ea0e', '3f7521b807647a2c', '8383107415c03c05', 'cac2787ed1114d1d', 'f7549c0f70cba5a6', '2942cefcb7358cce', '482b604002f1a227', 'b8e76ea0476fe482']; context = [[30, 84], [0, 39], [3, 41], [1, 44], [1, 40], [44, 96], [26, 64], [39, 86], [9, 73], [42, 89], [57, 100], [10, 57], [2, 57], [34, 79], [76, 133], [3, 65]]; loss = 0.029740 low_pass_filter = 0.300
+Epoch 0: | | 25609/? [4:02:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 25610; scene = ['ceeff0a15a1a8701', '5ff48e1dd62ec394', '858bacf0998dd9b6', '7d05797cba262019', '186cf25279708ba3', 'cee9699320022c5d', 'a900d9929950a86b', '150c91200e8c6efc', 'c8a486b083a1b41f', '184871528de94493', '61f631d8fa601e6b', 'bf4e983248554c10', 'd0252dde8512de70', '8895de712e5fc440', 'ddfa73b45dfa987d', 'c947a2448e98cc2b']; context = [[14, 70], [2, 68], [41, 98], [40, 78], [112, 153], [48, 110], [19, 80], [168, 210], [3, 60], [6, 75], [157, 211], [3, 63], [126, 174], [140, 209], [102, 166], [30, 75]]; loss = 0.028228 low_pass_filter = 0.300
+Epoch 0: | | 25619/? [4:02:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 25620; scene = ['763fbba111a520fc', '7c1c07c77d39e0f9', '77659febf946d8c0', 'f3d21d375f937dce', 'de1b480f7479ad7a', 'd49b4fa7b43fc10c', '0f928aa808268e96', 'c854b655b44a62c2', '52c81276984654b7', 'de02237229575e23', '64a094bdca3a99b5', 'e7431d87279f2f40', 'bcde14dd6d048776', '239d12ce68670c55', 'a93b9bf80d472ef5', '3b471fe1f614fbfd']; context = [[1, 56], [5, 57], [92, 147], [2, 50], [82, 128], [62, 111], [45, 88], [1, 39], [17, 56], [17, 71], [10, 58], [74, 122], [1, 70], [18, 68], [2, 52], [69, 126]]; loss = 0.022157 low_pass_filter = 0.300
+Epoch 0: | | 25629/? [4:03:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 25630; scene = ['e24323b82d0671c2', 'd2ad156576e078cc', 'e4fc6fa4bbd6efa1', '72d7ff49071fa801', '73542beb07728c82', '5994966dd0897ead', 'c05fd148d2da6d26', 'aa4938d7f2fd0a1d', '1fabb902ef63f533', '8b01b8a2eea580ff', '07ac07edf53ae9c8', 'b6f947d367a27e14', '250bdb5bd7ee5aef', 'ae267c0eaad7d286', '7ce0211de76d1a1a', '5f5bb12d476cdb64']; context = [[1, 70], [0, 50], [61, 124], [25, 85], [29, 67], [50, 92], [0, 52], [97, 146], [13, 60], [71, 138], [7, 60], [1, 63], [2, 69], [128, 187], [17, 80], [81, 128]]; loss = 0.027026 low_pass_filter = 0.300
+Epoch 0: | | 25639/? [4:03:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 25640; scene = ['068d85c0b47f4628', 'c21970a30701dfd5', 'd9069c7fde700fae', 'd1543ce8abd3294c', '9e591049019c2996', '038723be25e892b7', '668193bde2b21db4', 'a695ce29a01dc0b8', '61ba0d41e39ca681', 'c1da5a122e3a6486', 'd10e440ff0a99a23', '506c7067b8d54db9', '4fe12b24324c7c47', '62e9e5716c3ac2f6', '7d1d3e8e7a8d1910', 'e79f7d5144234b88']; context = [[41, 85], [29, 85], [78, 127], [50, 109], [21, 66], [19, 76], [2, 63], [7, 62], [39, 103], [7, 52], [172, 212], [8, 55], [217, 260], [6, 51], [3, 56], [59, 103]]; loss = 0.025629 low_pass_filter = 0.300
+Epoch 0: | | 25649/? [4:03:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 25650; scene = ['f1bb81b38686646d', '9db5d6f52db8ebca', '7bc72ab83e1ddcce', '884815c3ec6119e5', '77b9d40d5d9278bd', 'b1da72d206686bec', '21e2e9ad21492fc4', '5c2bcdae45b3b7c2', 'd67e551cfc3f6a4a', 'f6c0fd481ddb84f4', 'cb39619d392401f0', '16b14534c3561c6a', 'b0056fe2ed291425', '03a8cb9065084812', 'b210d777c3b1b8db', '97ce213c42aafa55']; context = [[35, 92], [29, 95], [7, 73], [7, 45], [166, 207], [37, 106], [30, 87], [6, 68], [0, 39], [3, 41], [47, 87], [24, 64], [3, 41], [3, 44], [26, 73], [18, 65]]; loss = 0.025175 low_pass_filter = 0.300
+Epoch 0: | | 25659/? [4:03:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 25660; scene = ['67693f88a026e955', '7b78a2113b0b67e0', '54c0968cdfab4471', '9a902960aaa032fd', 'fa42604243a1cf5c', '791c6386a4340932', '6d727b8f5862a634', '7afefd271f2ff47d', 'a637b8400669672c', '1319170a73cb514d', 'bedba1846d7b3f88', 'fe356da855cd3c76', 'c88763918c3b5bdc', '7245e11c64786906', '9807f8f6ea448e58', '6196f4fa2700b0af']; context = [[57, 124], [98, 139], [2, 51], [164, 222], [118, 174], [1, 48], [105, 171], [117, 169], [2, 62], [20, 87], [4, 60], [18, 67], [61, 102], [76, 140], [0, 62], [12, 58]]; loss = 0.030381 low_pass_filter = 0.300
+Epoch 0: | | 25669/? [4:03:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 25670; scene = ['8d5adf5bb663ed59', '050c893adf8f2dc3', '1775c4b83b3abfe8', 'e92c4e41e6dd1d3f', '182c45ad9d9feada', '6238ed8f3db76cb8', '174258c0129fc8b5', '1b51ee8926154783', 'e72a9a109b2c3859', 'c985e6462e64cf36', '31ff05dbf772323c', 'a5eca21da9f61d53', 'db30a004a7ebb212', '2e072a3b7bb0397e', 'bacbae2314c541bd', '8fa8b7cdf510feeb']; context = [[20, 60], [44, 94], [7, 63], [27, 76], [64, 111], [35, 82], [36, 95], [6, 46], [188, 243], [9, 76], [10, 50], [6, 68], [2, 66], [135, 202], [9, 77], [0, 45]]; loss = 0.038868 low_pass_filter = 0.300
+Epoch 0: | | 25679/? [4:03:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 25680; scene = ['92c6b068eef863c1', '5bece91c5864e528', 'dd709a76c4ade039', 'c4a00d6ff8529867', '750888ee3338e002', 'd5272681859ac87d', 'd86fbb8ba2bcee27', 'a26363624d7d2ebd', 'd312a48eec9207af', '95e2ddd4cdde4c5f', '44832125f07d776b', '3cfb633b947bdfe3', '8860d3251307030c', 'ce8aee19127c3952', '1d4265985e7667cc', 'bd295705900345f7']; context = [[17, 56], [66, 135], [17, 68], [12, 65], [3, 70], [32, 94], [4, 61], [24, 79], [43, 105], [29, 85], [85, 124], [87, 151], [10, 67], [17, 69], [13, 61], [26, 81]]; loss = 0.031922 low_pass_filter = 0.300
+Epoch 0: | | 25689/? [4:03:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 25690; scene = ['ee5b68d3466873cd', '1b28d4488bbd73a5', '2e2cce8b80bc8018', 'ca9f9eb29db75829', '453edcb688f085fb', 'f625bc1d8fe98cc3', '237ba5495c4df4e5', '73610c89bdc12aa8', '9f1c1c2f4e180150', 'f6a115c9b90dadd8', 'd6dabd357b310cb0', 'e801fc2e2679769c', 'e85deee4d4986cb5', 'd77aac464bf67157', 'ce4bbda27b8d6d2c', '54669584a6cf7993']; context = [[83, 136], [5, 65], [10, 53], [74, 128], [117, 159], [46, 90], [15, 61], [76, 131], [26, 81], [55, 111], [54, 112], [203, 252], [35, 77], [9, 64], [20, 63], [6, 62]]; loss = 0.032609 low_pass_filter = 0.300
+Epoch 0: | | 25699/? [4:03:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 25700; scene = ['5c09e40e2bd203e7', '35a97ea535944eac', '3aaccacf4e52c225', 'a548a64351982b0e', '77cf345e3fadab72', '5ce2bba6439e8b09', '6a239fe4886c5e3c', '019fdd708d7163bd', '72016c9b041f4bcf', '742eaf7317415c35', '4c94dc60ea4fc29e', 'fbed2318ae410b31', 'fc33d4814d21b0ff', '666ba10fbd4f9234', 'fa743fadeb3db677', '8093a591925afb51']; context = [[5, 70], [204, 263], [22, 74], [14, 73], [4, 66], [39, 102], [58, 111], [86, 155], [62, 101], [2, 64], [10, 65], [45, 94], [16, 72], [13, 72], [32, 92], [0, 60]]; loss = 0.027067 low_pass_filter = 0.300
+Epoch 0: | | 25709/? [4:03:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 25710; scene = ['744fbf6d7da41abe', 'da2584e1fbd30dea', 'ffc4643950346872', 'c28f10a578096fe7', '6d638e347e889c63', 'bc8d6f045241fec7', 'cb6f68fd2e9755aa', '37ff350eba2c5f64', '66a09cc7f5e4dbc8', '379f7d095dd31bbe', 'd705175cee467a2f', '1f2c53501ca20a48', '0476466b02a84b3a', '10810c921b4b3f84', 'c86ccd2448e8735d', '008d5bc870d12c22']; context = [[148, 205], [71, 110], [70, 121], [15, 56], [100, 150], [44, 96], [23, 72], [96, 138], [21, 78], [104, 142], [91, 152], [35, 75], [90, 133], [20, 61], [53, 110], [114, 152]]; loss = 0.024776 low_pass_filter = 0.300
+Epoch 0: | | 25719/? [4:03:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 25720; scene = ['3d5a6102484db5cc', 'ead9aabd27eaff8a', 'fb003d082b1c3ed7', '3c9ad99cce6558da', '0d1c5e5e77dfc06b', '7f8cd1f3c9acb8f8', 'd4bd2dcc63c5ea54', 'e3e252f0494ff061', '1250e0831ff05593', 'f44a0546760ccdb6', '0362bc618a029222', 'c2b2d238f9214068', 'ed35350baa1d1fb2', '7637453da2bff547', '623e9b4a6f37f93c', '83496ae8367a6c96']; context = [[54, 97], [19, 67], [15, 72], [29, 73], [161, 202], [12, 54], [1, 54], [16, 79], [118, 156], [1, 68], [8, 52], [31, 69], [4, 53], [86, 135], [38, 79], [19, 88]]; loss = 0.033358 low_pass_filter = 0.300
+Epoch 0: | | 25729/? [4:03:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 25730; scene = ['6726f4b1be3b02e0', 'd44eb5d03836bfa8', '254bab680a316f9b', '1dd9a0ed267383c0', '6be724a70229bc17', '81ee97f3eb44b898', '09c7171529d82a2a', '2b08d88dc7851fcd', '1545821f510802e7', 'e41dad3f906ed87b', '1f3bcac2fb6e1c84', '3582b54a8e7095ed', '9789c9bca500f60d', '57fe7c02c5ec9bbb', '1f2c37aec9ad5c43', '16df3af9c5647285']; context = [[0, 44], [4, 46], [17, 69], [5, 43], [42, 106], [8, 60], [14, 53], [71, 113], [11, 50], [13, 56], [106, 145], [17, 73], [16, 58], [169, 221], [159, 214], [18, 64]]; loss = 0.023627 low_pass_filter = 0.300
+Epoch 0: | | 25739/? [4:04:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 25740; scene = ['fbf477cf0b0e6624', '07f6c4a1f6151dca', 'aebfe0f3df7f20ea', '7f1a1335ce6a370a', '8317a2305e9a91dd', '0deec8ba153b3a98', '6452e7112d532c51', 'ffa4fc8c1589138a', '5b19f041d0e2b692', '9717981357538498', 'd1a1aeca91e29c76', '47ea7b75465317a2', 'e4823869577d56d8', 'c8189209a5831b8d', 'c16ca0438aa79d22', '74e7cf0c3f2ff8f2']; context = [[16, 71], [1, 41], [76, 127], [147, 196], [20, 81], [80, 135], [101, 167], [23, 84], [163, 216], [36, 95], [11, 57], [5, 67], [39, 105], [1, 44], [3, 65], [27, 72]]; loss = 0.025938 low_pass_filter = 0.300
+Epoch 0: | | 25749/? [4:04:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 25750; scene = ['bae2ba40b2703313', '5a56c4b9687b88c9', '465249a4ce4bef29', 'a3e1454634601a50', '01789229a85a4516', '965ec1449069644b', 'c5223ef0da739843', '446f07aceef2d476', 'dcfe017a032faf61', '17e623adb5750061', 'ec1789428dbe59d6', '715c63bb45248252', '2411b9a5fa5fc39f', 'fa1dfca0f0dd4bb1', 'a9f2052b7d3608a7', 'ae25c3b3bd733c0c']; context = [[124, 178], [5, 57], [20, 82], [4, 67], [0, 45], [73, 142], [23, 76], [53, 109], [34, 73], [1, 68], [35, 87], [8, 71], [140, 208], [15, 72], [224, 266], [17, 82]]; loss = 0.028512 low_pass_filter = 0.300
+Epoch 0: | | 25759/? [4:04:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 25760; scene = ['2ddb67832c160567', '91bd4d5858c4f7da', '173c3c8521ffe556', '0471a51233a96adf', '83d103672889a1b3', '2b634ad643be3bb4', 'f00b015a283a4923', 'b45aaf0961467ac7', 'f7f0e9c9bb11a8f8', '28dfdf09d7e7f141', '095b327d0991f54e', '789e3dd7a059f5d3', '42f9555cc5b7f279', '5234deee5bf92f77', 'f2d5fa6533aa8ff8', 'a28a3e656cfcfeb7']; context = [[81, 147], [0, 42], [38, 86], [5, 47], [195, 245], [136, 197], [77, 141], [124, 177], [12, 80], [25, 78], [58, 127], [32, 99], [11, 58], [231, 274], [65, 116], [19, 70]]; loss = 0.029754 low_pass_filter = 0.300
+Epoch 0: | | 25769/? [4:04:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 25770; scene = ['da2a7bb7a32a94df', '0ff2c8c09eb6a8f9', '572ff873f8ada192', '51408dcc2c36867a', 'b6f793dc97f8680a', '0625ac4ab070fb87', 'ed9de3b95ffec046', 'c6a25a9741194cb2', '31ad5d8a976a62a4', '316efce0bff7c388', '7f3900d49cac35a1', '5c4fb0add49cbd58', 'c52cef7d7890369e', '8aa54d54952c746c', 'ffc2f67f24e55466', 'dd8e8d5c7c7f2e8a']; context = [[194, 232], [1, 60], [33, 78], [96, 153], [13, 62], [39, 103], [29, 90], [51, 89], [16, 74], [63, 107], [26, 80], [15, 67], [60, 106], [47, 93], [71, 132], [50, 111]]; loss = 0.032712 low_pass_filter = 0.300
+Epoch 0: | | 25779/? [4:04:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 25780; scene = ['a5d34020cf7cacbd', '2cd72af45b4093cb', 'af3899e50afdfa9f', 'b00f502f468fa5e1', '04d49eaed769debf', 'ce267807e6f8819a', 'b6f646046b2a6c12', 'e6bfff9f049d72f5', '15c33c76f8a7238e', 'e73c3c5ae18982a9', 'bfa559b4958cc3f0', 'efcc02500ae5f63a', 'bef682a92ce892d4', '1fbd3c030aafef5a', '1eceb072c56cef6a', '1eaa109d45cc63a0']; context = [[13, 75], [74, 132], [33, 88], [12, 69], [36, 105], [1, 42], [8, 62], [69, 113], [31, 69], [1, 54], [8, 68], [51, 107], [116, 154], [6, 66], [32, 73], [28, 69]]; loss = 0.028235 low_pass_filter = 0.300
+Epoch 0: | | 25789/? [4:04:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 25790; scene = ['c5603a5e8498a827', '547ebf48151eef4d', '509496bad5a12f79', '2cc2af36e6bb9fed', 'f5338d00f9c021a3', '5e55a38946593552', '3fb6c568d960f072', '50771a5d94ac3e05', 'e7aa969073578104', '25767990c1e5df39', '5cb6a4466d5f4f53', 'f09b84993341b1bf', '23683c24eb019816', 'eb9a6eb40e64e0c2', '564ea16244f45dd8', '38d2ac7c43dd0eb8']; context = [[27, 85], [59, 109], [152, 216], [28, 70], [214, 257], [118, 185], [0, 54], [7, 58], [71, 127], [24, 69], [20, 64], [6, 55], [17, 63], [57, 97], [15, 58], [85, 152]]; loss = 0.023662 low_pass_filter = 0.300
+Epoch 0: | | 25799/? [4:04:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 25800; scene = ['6f81a4ccaeb687c2', '2572d5318c4a894c', 'ad9fb9be955d5f75', '9e78a8ce89ddf0de', '40e5a3bb5f8594ea', '30f5837d45148abf', 'f590c2e368c84263', 'fb602e807115895f', 'eaf9ee5dcff79cfb', 'a481f4695f950b6c', '6e3b707bc0e641db', '0cd5fa6be5701535', 'ed07387354f104e5', '7412a1ebda95734f', '0603807853f0f013', '6e562b93f45f3703']; context = [[90, 150], [0, 51], [85, 123], [28, 92], [7, 50], [26, 67], [165, 216], [141, 195], [39, 85], [0, 59], [12, 56], [1, 62], [203, 244], [28, 69], [0, 59], [78, 137]]; loss = 0.025084 low_pass_filter = 0.300
+Epoch 0: | | 25809/? [4:04:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 25810; scene = ['fff64f42340c9f92', '4268e3a564bff6be', 'dc147135ffd7390d', 'f646cb850ed823d0', '7950819803c38007', '481a5415dc213548', '7d7f87066fdddc0d', '526648b6db73136f', '03805e0aecc9ae58', '033a6f5499fd4763', '8b422b535466905f', '2bc08ab9bd25f36e', '60c2ea41a5e6ad12', '51821a6255cde575', 'e35efbb0c598de5c', '64e4fbce1abea49c']; context = [[5, 70], [78, 142], [18, 56], [8, 72], [81, 126], [2, 57], [6, 67], [63, 119], [36, 103], [12, 74], [55, 112], [63, 118], [87, 128], [24, 88], [32, 75], [10, 51]]; loss = 0.026932 low_pass_filter = 0.300
+Epoch 0: | | 25819/? [4:04:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 25820; scene = ['85ca66628c3b583c', 'e3330c1feb8b3ee0', '1613fefaad02972b', '82f678db97e94615', '93b6278cf013b714', '8d073ac3acb75992', '015ca2f115af3dde', '551fb8535c0aa256', 'bcca779045d62e67', 'ab4c74b2751a2306', '504f84dcd4f6fd4c', '8c94bdd2b798e17d', '757f1088d03ebd8a', '20c0caa90d9b9e55', '419e7c09988d876e', 'a04c6af8ffb89955']; context = [[13, 52], [38, 83], [3, 61], [11, 64], [2, 62], [16, 69], [68, 119], [18, 70], [15, 60], [1, 70], [54, 93], [13, 75], [135, 177], [78, 128], [18, 77], [76, 129]]; loss = 0.023320 low_pass_filter = 0.300
+Epoch 0: | | 25829/? [4:04:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 25830; scene = ['4cb3a3bc72da5752', '92d48535714e3403', 'a6ff3463269a8294', '672ceef1477a4ee1', '1d3ae192a6390463', '681de2df4fcb3ddc', 'bcaf2ffd6f7195ff', 'd951d136123e72ca', '79beea9672385e70', '9a58dacbdeb095bb', 'a8580c6b2825efcb', '42bb78b6bb2015b5', 'b3e785efcbb39bed', '007d91ee3338229d', 'c07f313faace15be', '2de65d8f9645d15e']; context = [[26, 78], [63, 109], [10, 57], [37, 85], [55, 112], [8, 61], [13, 54], [88, 133], [21, 83], [84, 152], [9, 66], [17, 66], [12, 64], [1, 66], [1, 58], [19, 67]]; loss = 0.027342 low_pass_filter = 0.300
+Epoch 0: | | 25839/? [4:05:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 25840; scene = ['16ad60739d062c0d', 'b6f35460c7ab5e4f', '1db541021f08c569', 'd2df2ab53964add5', '9a32a8daa43d59dc', 'aa9501b0fe74e3e2', '1b200ddb0e8760fd', '27f95438492b1f5d', '3d9d33cc3bedad51', '5d3adfd63b17163f', '03ea09bf65357e60', '054c7b44f296f89b', 'dcef19d1e21275d4', '8f30c1582145c9f3', '6df050e937ac9f8d', '6c4a195e1fa3b28a']; context = [[209, 265], [31, 78], [14, 82], [12, 58], [35, 104], [44, 108], [108, 157], [3, 55], [59, 112], [20, 65], [24, 80], [55, 99], [9, 59], [14, 54], [68, 116], [6, 74]]; loss = 0.030624 low_pass_filter = 0.300
+Epoch 0: | | 25849/? [4:05:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 25850; scene = ['3e0497b3be34d492', 'fbc40b507a2ef712', 'abfb3e8af35aef41', 'e59c541c3c0cc68c', '1d6ed861c30a6c05', '17182e5c481e14f1', 'c0a19ec78a7ad15b', 'fb9e93054db6ebbc', '38d17287a2d1b35e', '4e2fbc828c9fe2bc', 'c9ae81970b7075f0', '8f7ee093c756747f', '937764224c20d45a', 'fec56e270756abde', '44b340e3529d5406', '8de1dc4b14509c48']; context = [[66, 115], [6, 51], [1, 40], [32, 91], [9, 58], [10, 49], [1, 40], [187, 245], [13, 68], [1, 50], [95, 147], [175, 229], [120, 169], [9, 73], [31, 82], [1, 40]]; loss = 0.030915 low_pass_filter = 0.300
+Epoch 0: | | 25859/? [4:05:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 25860; scene = ['1ec05b1217b8faed', '35bf2746e0a4e79e', '75471527ff3b5afd', 'a27eef8a648834bc', 'b27b5bfe5e4a5aec', 'f6dd60c46b7401e4', '485b767178f8d931', 'a190cb946726d886', '03a91501aac2c6cd', '6a1ea67384a032e0', 'd203eea4f23729fc', '44a80e185df46f72', 'a16e4bbb68282ea0', '1dabb60db937c768', 'cd081fcfcf314ef6', '79c03730a78833a0']; context = [[78, 128], [29, 70], [122, 186], [177, 229], [0, 48], [3, 72], [125, 191], [5, 46], [23, 70], [17, 75], [112, 168], [79, 124], [35, 89], [13, 54], [71, 131], [13, 54]]; loss = 0.029212 low_pass_filter = 0.300
+Epoch 0: | | 25869/? [4:05:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 25870; scene = ['16786b3b82992a6d', '5f0abde967392b64', 'dec83e9b894e9d8c', '2e7ce3e57bead424', '37205c388a65d832', '78d0ce3944e20e13', 'df222036e9ce1b1b', 'd719013f6756802b', 'd3e9e885f06cf2d7', '8147b073803ed169', '905b8ce6244103e3', '840e6842fb5ba732', 'c5e2876b5e0e7265', '067c03a150a6535d', '1f0a743ea04c1022', '4b6f368238db6ba0']; context = [[92, 134], [190, 258], [16, 74], [30, 81], [1, 50], [3, 61], [23, 66], [84, 125], [1, 43], [0, 69], [31, 80], [175, 222], [33, 97], [35, 92], [43, 107], [9, 51]]; loss = 0.026028 low_pass_filter = 0.300
+Epoch 0: | | 25879/? [4:05:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 25880; scene = ['f546d4b7f1fad4fc', '083e06ea00de183b', 'fe95b1b2cd2306fd', '6f8c7d10b8feadcf', 'ea05fe4dc21b53e6', 'db57f8c931011117', '97c5d79bc0c119e7', '8f242b96af5a7005', 'd0e565ee49890e94', '3231aca99e0a8889', 'c6066f922a2b4fe0', '7ab87cae327184c3', '3e9b0aef46871757', '303910b1146da10a', 'a31eae8ce8a4dbfd', '6fa7c62ef1f2df71']; context = [[15, 58], [11, 72], [0, 60], [43, 94], [9, 53], [128, 185], [1, 46], [64, 123], [53, 122], [56, 106], [51, 89], [183, 248], [23, 87], [1, 66], [54, 118], [1, 65]]; loss = 0.024992 low_pass_filter = 0.300
+Epoch 0: | | 25889/? [4:05:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 25890; scene = ['01df3fff1e49799c', '37d687c129022732', '5504701fb8520818', 'd0949c78a764e278', 'c9cc80abd6a058cc', 'a5991c36cbc1e162', '7e39c1172230514f', '6519a2e146bec2a3', '6b3f97ae13e1f6c3', '74e3e6de971edea1', '093704d9160df32d', 'fbd4913da8a907c2', '828399209d5ffc4f', 'f76b02964abe7d74', 'bb3c42b6434a231e', 'e290173c0fde2ae8']; context = [[86, 137], [58, 97], [61, 107], [36, 76], [0, 40], [6, 45], [41, 90], [8, 70], [74, 129], [19, 78], [204, 273], [7, 65], [104, 143], [5, 71], [33, 78], [7, 62]]; loss = 0.025676 low_pass_filter = 0.300
+Epoch 0: | | 25899/? [4:05:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 25900; scene = ['2182b76a33fef09f', 'd6624aac6774c6cf', 'e18573d92ab9ebf6', '7665f3aca38b0220', '9fea16da5934281d', '481eaa0e0208530c', '5635970d790ef23e', '4ea42f87aebcb998', 'f5b22f85a5ab4806', '3afb5d28d32fe31b', '210a554ba8d9cd87', '8d0a735a877f6368', '70b657330ca11de8', '48252a4b54c04894', '90d1df38cff37e64', '23ce480af575d312']; context = [[41, 85], [8, 50], [148, 194], [96, 165], [56, 120], [4, 71], [70, 116], [53, 95], [1, 65], [15, 70], [18, 71], [6, 56], [33, 85], [21, 83], [3, 42], [77, 119]]; loss = 0.026500 low_pass_filter = 0.300
+Epoch 0: | | 25909/? [4:05:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 25910; scene = ['d5d319bb0bb91ea8', '3442a19cd7d6d5c0', '4d09d7bbfb746a2e', '79bc7be6d517c2a0', '44bdf4329253be0f', 'c5461c555f448911', 'be8ec5059dcd84c7', 'efbb4fa57602a575', '75374fbe603acdc3', '8e200c435db6aa29', '7255e59541aeec0b', 'df1833c7f247b8c8', '3413cbe14a2c0fbf', '2ab05c982fe556ba', '716290f59cec96d4', '2bfd7a62ae051639']; context = [[3, 65], [21, 66], [3, 54], [9, 48], [14, 73], [26, 84], [34, 79], [206, 263], [40, 94], [30, 77], [65, 124], [40, 83], [0, 38], [10, 74], [43, 82], [10, 66]]; loss = 0.032507 low_pass_filter = 0.300
+Epoch 0: | | 25919/? [4:05:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 25920; scene = ['812f66c0ca94fcc9', '42928282597bbae6', '5f50c0139db3d146', '63152876b2962eeb', '3bd8b6fc41cb1a82', '6ab4f1994ae94609', '33071a63b419262f', '7c40bffc17c61edb', '629b76c446e7e1ff', '49ca0e41c7487452', 'b56e105ab403fa24', 'd03a73369cb6a472', 'd48f435e37cfc3a4', '7f7438bbf4ad4571', '85b4424274f57276', 'e61c4e10dbb5f3ea']; context = [[75, 121], [70, 122], [75, 116], [0, 43], [11, 52], [17, 76], [1, 69], [3, 62], [3, 65], [82, 136], [27, 92], [19, 87], [15, 68], [12, 76], [174, 229], [25, 64]]; loss = 0.025573 low_pass_filter = 0.300
+Epoch 0: | | 25929/? [4:05:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 25930; scene = ['3222c6f65e953650', '99024f17cee81656', 'b4c9c26caef44e89', 'd101ed7d57d47b7e', '16333d9914d5937b', 'b3b4229128c01334', '852f7c2aab04ec8a', 'e4f3630e8f2fbc49', 'ec3f91fd42fe933e', 'd14823e5d7bf0345', '652eec833b4c7da8', '0831f0c838e6e563', '0c0750bfa3e590df', '58a007e8e111ef3f', '4420547213fa33ef', 'a3d0cca9fb57fd85']; context = [[98, 158], [14, 57], [47, 106], [15, 72], [9, 62], [98, 146], [116, 180], [104, 161], [62, 123], [28, 96], [77, 118], [19, 67], [41, 90], [118, 187], [71, 111], [15, 55]]; loss = 0.038349 low_pass_filter = 0.300
+Epoch 0: | | 25939/? [4:05:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 25940; scene = ['bcdb79a5ef8910f8', '05244e7bb6be731c', '35b17517c1bcd92f', '5e39693ca59e8130', 'aab1107e09a45e35', 'ec4619c9a04ad474', '14f431bca6f79d3b', 'd5a9be470293e204', '7645fe1e7ec6456d', 'c76d5c37993cd546', '042a55e78c9a78bf', 'd1b677821157bbd7', '012785080357adfd', 'a9cd1ed7693da0f3', 'be5e569ee7a66bc6', 'e5a9f9a576763b76']; context = [[7, 49], [7, 46], [15, 77], [107, 172], [16, 82], [161, 199], [20, 68], [203, 260], [108, 159], [35, 85], [99, 150], [12, 69], [0, 51], [56, 107], [48, 92], [0, 58]]; loss = 0.041501 low_pass_filter = 0.300
+Epoch 0: | | 25949/? [4:06:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 25950; scene = ['e8041f1e1fed357d', 'ff02f88545dfa566', 'df378b8aa82b58d8', 'cee9854ce7c26fc5', '8d9ff5cd908a6c41', '8f05895cb146fc2a', '69ecf89c19fc5e66', '3cbfc2fc164269c0', 'bf44dcf838be7723', 'a720ffa787230c65', 'd44cfdddecdcbcf5', '05b5752d615deeb7', '35fb934b6f5d7250', '2a0c203240264351', 'dcb8ffff13e493c5', 'd7b29df60c4100dc']; context = [[92, 151], [72, 136], [5, 44], [26, 69], [10, 63], [30, 74], [2, 48], [20, 74], [12, 75], [5, 44], [80, 135], [175, 238], [47, 99], [38, 82], [4, 43], [53, 106]]; loss = 0.029775 low_pass_filter = 0.300
+Epoch 0: | | 25959/? [4:06:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 25960; scene = ['89dc50dc9a4e15bd', 'e1843a68dc42dff5', 'b4e77f88414fe966', '8592ba43aefb06d9', '17515d51eaafdd2c', '694c8dd760733383', '6203ec07eb54ea40', '9258ddec553eebc1', '5f6769e58c33cf0b', '36f3aa0785b3fe43', '60f3a3b7593eed53', 'eb3c7682b5e3ca81', '97ca81e3d9b2a5ec', '5b70d25bd9127630', '881055c002ef1e5d', 'daa33c5d0372574c']; context = [[34, 74], [25, 81], [0, 39], [3, 44], [3, 61], [20, 88], [11, 69], [19, 57], [67, 123], [162, 229], [32, 73], [12, 67], [39, 85], [137, 178], [53, 95], [20, 70]]; loss = 0.023609 low_pass_filter = 0.300
+Epoch 0: | | 25969/? [4:06:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 25970; scene = ['2f38e23c9af5b565', '30ba32c31521175d', 'b5b77d5fb33aadf9', '6da69e059ba7030b', '83f9feb3fbd8b37d', '816ab726dadb8795', '0d838f304da2d721', 'a2fb92cb976a8506', 'fb82c586a77e9d12', '7d3a4db42458fcb5', '5aef79486958a9c9', '5ae2c32a2062fc64', '26b59e475b721b70', 'b5c07eef1beb187e', '61195575024c6cf4', 'a3da510ad5c8274e']; context = [[41, 102], [57, 122], [58, 122], [220, 264], [152, 208], [128, 169], [38, 91], [79, 117], [23, 71], [50, 96], [25, 94], [17, 73], [20, 72], [68, 112], [59, 105], [67, 136]]; loss = 0.029535 low_pass_filter = 0.300
+Epoch 0: | | 25979/? [4:06:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 25980; scene = ['eaeaf71b0ff6e2e2', '259fec6c43f1f0b1', '144e1ec915e46d29', '164bfbcf3c843542', '88f602169e8e43e5', 'b34bb5f53856d34f', 'a7c776da58a96494', 'b25963fb28a6fd6a', '533bb7185fd2572d', '281599bbab3e73dd', 'f99640d38891e746', 'bedf88185159e542', 'dc50de438abdb52c', 'fd9625e01240c2a3', 'e23baeaee13d12b1', '1e82a72ac95c1a0f']; context = [[158, 204], [179, 237], [8, 50], [42, 97], [72, 126], [0, 39], [1, 59], [18, 63], [80, 121], [14, 53], [130, 196], [94, 137], [223, 271], [165, 220], [2, 62], [11, 55]]; loss = 0.028854 low_pass_filter = 0.300
+Epoch 0: | | 25989/? [4:06:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 25990; scene = ['82553ea3fe4fa671', '7669e97d364f029a', 'e579edd7cd33c20f', 'f6002d27b4940f4b', 'bb2d9debacfd0afe', '152fdd4a1d573eac', '83f57bcd5d9121f6', 'd0b05114696275a3', 'f74d512df8806cc1', '8d240b118357cf8f', 'fd367e423c5ec1e6', 'f760a303e59652b9', 'b60f44eb4453cabf', '4f6fe1053f3ec911', 'caffe3c2bd9d8aa1', '00db55a7dc4058d5']; context = [[14, 76], [17, 77], [0, 39], [62, 125], [8, 56], [6, 68], [8, 69], [41, 105], [39, 108], [48, 86], [95, 154], [58, 115], [72, 121], [148, 195], [108, 158], [0, 60]]; loss = 0.027297 low_pass_filter = 0.300
+Epoch 0: | | 25999/? [4:06:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 26000; scene = ['d4e43250c96c98c5', '43765e6135a1b51d', '3a54044fe7cf177d', 'd77f61447f897ed0', '2fd2e724a6a04576', 'd960d2f3dfb2a4d0', 'a9139b3b3fda05b5', '4b8623b613080a05', 'd095902f17028960', '5ecf126eabe4bf2d', 'e5e49ef1441c4a0b', 'fc76672a12aa84b9', '317b285e38d28b32', '8f11cc34cff18c88', '2c544ff365d58529', '248bc6eca693c120']; context = [[81, 139], [0, 70], [49, 117], [0, 38], [69, 112], [3, 62], [137, 196], [21, 67], [1, 45], [12, 76], [26, 72], [9, 47], [1, 71], [42, 89], [4, 53], [6, 57]]; loss = 0.026628 low_pass_filter = 0.300
+Epoch 0: | | 26000/? [4:06:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000validation step 26000; scene = ['46502a6038bd288f']; context = [[19, 83]]
+Epoch 0: | | 26009/? [4:06:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 26010; scene = ['5b38600054300759', '7f54d26a8ab0e14e', '86804304e90a280f', '9749f269b3c35673', '7453567bc6bb115a', '4bfd9ce2e7cf4105', '09f926704a6f40ed', '52c56b2d23539cb6', 'c4874263cf3db05d', '5dc2458745ac4f7a', '1219a58b37007b1a', '90315abc4bf86c86', '8106401c3015f193', '29ec1cdce3773212', '08ee15c7042507fd', '9a2486bdf41619d9']; context = [[5, 60], [23, 67], [0, 54], [7, 63], [5, 63], [163, 204], [1, 43], [27, 70], [2, 50], [44, 94], [34, 80], [59, 118], [73, 123], [86, 145], [108, 148], [51, 92]]; loss = 0.027951 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 26019/? [4:06:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 26020; scene = ['8b59ce9d21cdabc5', '29d6a3513da47b2a', '9e05992f56f535dc', 'ea903615256ec50f', '95c7b06087c6d341', '430eed4f28618c39', '78db40a9260868ef', 'b1b562b40036ae76', '6b7f15a683fc23a5', 'db560bd3bad6a29d', '3fd25d4c4bd917e3', '42837c7159a414e5', 'd5140e98ec18e816', '597188ccf92f057e', '67a721d9dacc515b', '0b758b68786dc733']; context = [[14, 57], [143, 211], [58, 101], [38, 104], [21, 68], [26, 88], [65, 133], [54, 116], [8, 78], [37, 84], [2, 52], [65, 117], [175, 225], [152, 211], [4, 57], [35, 89]]; loss = 0.037568 low_pass_filter = 0.300
+Epoch 0: | | 26029/? [4:06:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 26030; scene = ['0d523169ade73286', 'ea0724550b13acea', 'c5bab1e3fcecd090', '9b6bdc23cba32873', 'db69b164ea00101f', '7b2ab16242301c26', '9de46bb009a08fb5', '7a0b51c3bfddce51', '317861b88f2bee02', 'f327230ea9b67004', '3a05ad6466f6ca3c', '76414b18a47e67b2', '02c369a3c9d058f7', 'eb86ace974e6b427', 'a1a5d5afd4a798bc', '9e6bf921e918aafc']; context = [[68, 114], [90, 154], [49, 117], [11, 78], [155, 225], [1, 69], [6, 51], [208, 273], [102, 164], [80, 147], [4, 51], [178, 243], [149, 201], [95, 153], [164, 226], [5, 52]]; loss = 0.031858 low_pass_filter = 0.300
+Epoch 0: | | 26039/? [4:06:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 26040; scene = ['8fd783a99a2d0141', 'f93e6c088e262d6a', 'cd00b6547676486b', '7420d0473d2f747c', 'f3c60f58000d1e09', '614a349e0b16efd7', 'f7c8f65808f12d08', '63ec3dfd04ee6970', 'f52133a15e87c234', '246e232ddde9d3e2', 'f3bc1a6ad7acbc5f', 'ee2cb07f49973d2a', '1c1838ca17ba6546', '9b4b55d49b0d6c6f', '5b370f62c5d74660', '5977ebfe3fb13dc1']; context = [[74, 135], [17, 72], [8, 67], [1, 58], [2, 69], [49, 99], [6, 63], [29, 76], [33, 72], [10, 63], [38, 83], [202, 248], [24, 93], [32, 87], [3, 67], [15, 63]]; loss = 0.041143 low_pass_filter = 0.300
+Epoch 0: | | 26049/? [4:07:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 26050; scene = ['082779aebfbf4a46', 'e701002db5b431d8', 'd25d6a9b1356b134', '11b0941f789a29b1', '0e02ee3c20133fc7', '4281ec37ed7f314f', '5db35c5a758e42ae', '742793d0325d9468', 'd5baf7d53e841808', '87d8ff58d20dd38e', '6ac21339504bd55f', 'ceaa8a7f61143b3f', 'be9bf46e270b4063', 'b2191f22b72cd698', '1d30d8bce2897a08', '63a408decbee5e99']; context = [[37, 88], [98, 162], [11, 53], [7, 51], [4, 51], [8, 49], [43, 85], [65, 119], [51, 96], [21, 74], [230, 278], [12, 73], [8, 76], [9, 52], [57, 108], [203, 263]]; loss = 0.026504 low_pass_filter = 0.300
+Epoch 0: | | 26059/? [4:07:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 26060; scene = ['809c4a534eb3b5c1', '64af7d972b2609d2', 'e459d51b26a20aea', 'ce54c9faf39506db', '3d6be0f3b963ce22', '2f98a9aac1958f7d', '2253cdcdebb8ee34', 'c264a11347c75a0c', '55ba02202477c1fd', 'c9ed83552cac2a65', '92e9963c8f525044', '6710ea30efb5b47d', '20b791440b7ec0b5', '5c9877200c432073', 'ee3f7a4049756e71', '97eab841f52c3532']; context = [[77, 125], [27, 91], [61, 106], [30, 68], [99, 164], [21, 91], [11, 49], [126, 164], [14, 54], [29, 98], [20, 89], [192, 244], [0, 65], [5, 51], [3, 69], [10, 80]]; loss = 0.027624 low_pass_filter = 0.300
+Epoch 0: | | 26069/? [4:07:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 26070; scene = ['5914b1859a79ba29', 'fccd2ce3b04593fe', '5f204ad1cc82ddaf', '52353deaec940de4', '1368397e2dcceed5', '6fd0a32acb5e9be2', 'fefbac7ae3dcaf5c', '586c40e55dd9917b', 'c8be2a65ab3523bf', 'e93bcdd32f6201d2', '18dff95c712c43cd', 'b2002f67cd58c3f3', 'cd3f80e2f7a82583', '44ca078432802942', '8b43bf4714cafd7c', '1e592f706a286ce1']; context = [[74, 133], [10, 80], [46, 108], [2, 70], [5, 49], [4, 71], [36, 75], [17, 74], [2, 52], [8, 74], [6, 66], [1, 56], [1, 68], [234, 274], [7, 63], [57, 116]]; loss = 0.034699 low_pass_filter = 0.300
+Epoch 0: | | 26079/? [4:07:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 26080; scene = ['053a8ffc1fecb90f', '476081f1477b4542', '34ee4b7e062656b6', 'e791f0a53b27bbd5', 'a814d663d6af2674', 'c8a89452aa4cf54f', '3678468a9d6d42cc', '555c778e6f96777a', '0d75be966f561519', '623d5619e4702864', '0d32af0aa9eaae9a', '27c55b5a9f12362b', 'b950cd4348d01e2a', '68528e468bf52aca', 'eba4eb617aa5d763', '804998e7ec39d253']; context = [[28, 94], [4, 53], [21, 69], [20, 71], [94, 137], [17, 73], [100, 146], [38, 99], [1, 58], [201, 271], [3, 42], [23, 64], [23, 91], [11, 71], [24, 86], [6, 69]]; loss = 0.026035 low_pass_filter = 0.300
+Epoch 0: | | 26089/? [4:07:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 26090; scene = ['cdedebc7404b55c6', '8f85d318571f0d5a', '3e81ba33406f43d3', 'ee02795c2cab0d84', 'f99052aa7f75d58b', 'bb3f4b8c39aa0f9f', '4001283461bac478', 'f8d3ad05afe92b39', 'e44fa4f35c34ade1', 'ca230a6267bae1af', 'ad406792c81d375c', '982d31117b3d890d', '2815441dd194a10f', '117797aff27ab8c5', 'e075fac2336b3e3a', '7c420f81cb281475']; context = [[35, 90], [6, 50], [18, 75], [10, 64], [17, 78], [82, 142], [34, 98], [16, 68], [74, 141], [56, 122], [18, 80], [41, 91], [43, 94], [24, 62], [0, 38], [7, 72]]; loss = 0.025688 low_pass_filter = 0.300
+Epoch 0: | | 26099/? [4:07:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 26100; scene = ['930341b45d10af4f', 'cc1bcd4f8463b2ee', '33510e5a8e9d598c', '6f109232d9beb036', '26a01fb0e2976fc4', '9b1e8fe75dfee472', '65498b8de03a0b2d', 'bfadf9a64d247858', 'd3f9fbcfe7972afc', '90d70bc4c159efe2', 'e3bca018a714db69', '794a82e0519160c4', '893335afc78c8685', 'de665a63685bdac5', '817e228e9c74d745', '43e6289d0f0921a5']; context = [[21, 60], [102, 140], [96, 139], [12, 78], [33, 100], [7, 47], [11, 72], [21, 63], [7, 65], [3, 63], [86, 126], [22, 65], [39, 97], [58, 111], [4, 54], [21, 73]]; loss = 0.025499 low_pass_filter = 0.300
+Epoch 0: | | 26109/? [4:07:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26110; scene = ['25b956d02e19340b', '47e7899c39da449a', 'dfb5a9520914b47f', 'b94eb92c6c18432c', '1d1f6ff2bf5a761f', '48702ec12ae43a24', '30bb04e939f45d7f', 'b90177a3e1663c39', '17a44329e92629ae', '3c96b594dee5a035', 'a6cfed3142195b52', '1132a0c28fe8748c', '65c849d84d894291', '34c07d79a9633748', '272cc6bef39a7a8b', 'be52e70932f6dcdc']; context = [[35, 102], [0, 38], [18, 71], [2, 50], [126, 170], [69, 107], [91, 131], [23, 91], [42, 82], [125, 173], [53, 122], [98, 146], [99, 164], [13, 76], [59, 120], [55, 104]]; loss = 0.029048 low_pass_filter = 0.300
+Epoch 0: | | 26119/? [4:07:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 26120; scene = ['1570ebe6dcc16039', '172fccf6211f3546', 'f5cbf62c5cd3d71c', 'e8721dd467df39d8', '99a53c7f37fe70ac', '2316b4d8d41df4e5', '89f73665ceef8f18', '7d7a8925c09d5f7c', 'a48775c747c10026', '8feb08cb2053860c', '3a49221a3776b5f9', '86835c317170bf20', 'c8bbc00311acd55c', '09df9e8df2a992b3', '85fe5f7406271038', 'fe389d965307b43e']; context = [[61, 115], [0, 40], [107, 176], [2, 57], [16, 84], [0, 44], [137, 176], [0, 39], [6, 48], [35, 77], [25, 70], [25, 77], [62, 109], [12, 79], [49, 89], [31, 83]]; loss = 0.024499 low_pass_filter = 0.300
+Epoch 0: | | 26129/? [4:07:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 26130; scene = ['4a08d8aa17ee55a3', 'abf952722816c296', '9d46e65b9edc9c15', '3a444379f8c5e5c0', '3fd549f7eef1c12b', '798ed35225d5c255', '2f709b926f593fcf', '5e7040c6384bdda7', 'fd36e02a115899ff', 'fd84675a5268e518', '7f5e74372632e88a', 'fdcc00c4d8310e3a', '16ba79e95f3f36fb', '4a119e4fdc155f25', '4dc1674146d1feb4', 'cee058b0da530229']; context = [[19, 65], [88, 152], [55, 101], [23, 86], [21, 77], [55, 102], [48, 90], [20, 67], [19, 89], [16, 59], [1, 61], [21, 78], [12, 72], [26, 92], [13, 66], [3, 62]]; loss = 0.025556 low_pass_filter = 0.300
+Epoch 0: | | 26139/? [4:07:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 26140; scene = ['ffe1d56896c0557c', '6603f8dfda7742a1', '2355e49417a42565', 'bdb99baf50a5625b', 'c83f4f9c4271aef6', 'a2d213e90836a280', '4c737af8dea45195', '30bad8b99b0649cc', '7941f38ede629d40', '4cb2eaf3ea088f25', '76f1f99b2f95a66c', 'bb76208880c43693', '228e3004c9ff58ed', '8930ee35316aaca6', '426790db8571d894', 'c34254b9239f4d5f']; context = [[195, 239], [220, 277], [92, 145], [4, 50], [37, 96], [67, 115], [2, 47], [91, 137], [52, 97], [127, 180], [0, 68], [26, 94], [45, 99], [8, 50], [83, 123], [17, 70]]; loss = 0.023264 low_pass_filter = 0.300
+Epoch 0: | | 26149/? [4:07:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26150; scene = ['3ad7f1f843b2004d', '3f2e3a1c53cc15c7', 'b2ba2a9226ab5416', '244f5889c98e08d8', '21be445f191eadba', '0db524aed16843f5', '3c23f9c44d4156dd', '597d275f09b79f31', '334353cf397fda8a', '58579896a14a9718', '46cfe90be78f1b48', '39add666b4236924', 'b9d021ee08c7e2a3', '9746f30f65f4a89a', '4853d578da5d72f1', 'c61fa9582ea4c8f1']; context = [[65, 115], [30, 81], [3, 46], [34, 100], [12, 60], [38, 95], [15, 79], [70, 113], [206, 256], [67, 127], [102, 165], [78, 128], [14, 65], [15, 83], [24, 81], [68, 121]]; loss = 0.028410 low_pass_filter = 0.300
+Epoch 0: | | 26159/? [4:08:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 26160; scene = ['caf3f9635ae18219', '8ac3f80d10dab739', '8c6475f6a50ecf0b', '1d83d7e1067a9972', 'f8ae7a816be4c3c7', '9f1a754bc0ca1002', '181d724e8cff2234', 'fb6b9f1e874ffb31', '527d74c598ff7b6d', '8efc5fd1fbf4c924', '587bde63976c7658', 'dffc452274d7cc7e', '8df7f7cf4f43c4f1', '508e362a797583d5', '9408f88181096e42', 'ebad6e827d1b5253']; context = [[18, 80], [17, 71], [33, 100], [153, 210], [3, 71], [21, 68], [65, 114], [23, 89], [162, 224], [131, 170], [51, 100], [26, 75], [0, 41], [18, 67], [105, 150], [40, 85]]; loss = 0.035959 low_pass_filter = 0.300
+Epoch 0: | | 26169/? [4:08:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 26170; scene = ['8705a0db1225c81b', 'e7df13eca6bc6264', 'ec25ff20b657f248', 'e95687cad1947692', '92db9837fec770fb', '5b459016ddb3ba57', 'd2cc54627797eb1c', 'ea0cd1a6ce3cb497', 'bf3d5a7c0eeb5398', '1112900e2462a9d6', '5f574a3f7e2bbed8', '8b3f52086b131151', 'a6377dfb4e94b6a5', '25b4a4bd7f750a5e', '3111579f1c9d5f28', '8d6d9857a57baee3']; context = [[116, 157], [32, 89], [34, 73], [3, 71], [14, 84], [1, 55], [20, 86], [47, 107], [161, 221], [157, 212], [9, 68], [40, 102], [9, 72], [191, 247], [139, 184], [38, 99]]; loss = 0.030580 low_pass_filter = 0.300
+Epoch 0: | | 26179/? [4:08:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 26180; scene = ['d0dbeb1f49cf3a94', 'a2c2b5dbef40f345', 'b8957b5a607ba2f2', 'bdcb6598be7b9526', '9c8d61c37c4bb315', '771c929fa8c4439e', 'f6f36f1a0e886abf', 'e6f0f9dc45e9f66e', '4ca12bb4344471f6', '9bc6d79bdd9830a6', '4684bfc4b6330cdd', 'bd7a0a337366b1ab', '61ea26e539098884', '53bb7687bdc3282a', '3ad2b21c6b95cf65', '1e66c5cad1710c51']; context = [[20, 59], [5, 61], [25, 73], [103, 144], [26, 69], [82, 141], [21, 64], [43, 88], [24, 63], [143, 196], [53, 99], [0, 40], [20, 58], [50, 116], [3, 45], [1, 40]]; loss = 0.023621 low_pass_filter = 0.300
+Epoch 0: | | 26189/? [4:08:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 26190; scene = ['6c1376dcc17bb97e', '40df9f041d4c7858', '1921f0aa77d99890', 'af2a4edd9ee026e1', '14e19e579a9704ee', 'a91657eb1b53c0ee', '526a07ae78945335', '1d106e69248d9af1', '40786ebccb8aec35', 'fd5e487892a58781', '51bfd3ee5c473481', 'a522b097d56845a6', 'c4606cdb17012d6b', 'b85dcc204b980cf1', '2e2232e88140794a', '901ffe30eed014c5']; context = [[39, 82], [53, 123], [33, 75], [18, 81], [13, 82], [57, 103], [5, 53], [155, 223], [52, 95], [0, 46], [42, 107], [3, 44], [9, 69], [27, 85], [52, 112], [9, 56]]; loss = 0.025721 low_pass_filter = 0.300
+Epoch 0: | | 26199/? [4:08:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 26200; scene = ['b453ef05daffeeb4', '6875237676478d45', 'f7b09a6e87abb5e6', '4ca6ed1cf7349efd', '38c2f919e61f375e', '4c13c320c47ef017', '938865f6756c2301', '100c4c3fa1794647', 'ed074cd40dc33596', '1c124b91c6ee92a5', '8ec27dc882d87cab', 'e2128a609ff89c4b', '10624fc8f33d3a0a', 'dfe78eb63cd652e9', '9733a5e8b87112f8', '3576553305e59d4c']; context = [[114, 154], [59, 100], [7, 54], [196, 244], [5, 49], [10, 57], [50, 92], [16, 61], [71, 122], [191, 251], [61, 113], [7, 73], [51, 97], [211, 267], [108, 153], [48, 105]]; loss = 0.023974 low_pass_filter = 0.300
+Epoch 0: | | 26209/? [4:08:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 26210; scene = ['423eb47d1b1d1852', '0dc38ba8923b3ee2', '8e2bea65336df1a1', 'd1e110cd656b3afd', '3fd3e20cbc6e5f69', '844c3d41bb98e44b', 'ed0af93543c3d48e', '476be94e60c05524', '0ec0c59f014bd89f', 'bc3166518efe4e15', '34a2811c3db63211', '9b9ad1559f77042a', '61049a4bf21ec488', 'e8d6100917c31f4c', '6f0ca9deec239799', '2034e425e8ca8e68']; context = [[2, 65], [183, 245], [105, 168], [63, 123], [23, 69], [28, 91], [43, 86], [34, 97], [3, 41], [170, 228], [32, 72], [128, 178], [18, 74], [48, 91], [63, 128], [8, 67]]; loss = 0.050617 low_pass_filter = 0.300
+Epoch 0: | | 26219/? [4:08:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 26220; scene = ['a59032b47f1dfff0', 'cac84a71e48219aa', 'bfa48646aea12d4c', 'd0342267434bde9b', 'c44581acf8dd6c35', '1236365ec263ad76', '640dafc4b5a3d491', '1202c32d91ad3ee3', 'caa2624600dfa93f', '5e7dee438d1fcba6', '1adaf0a340d0e041', 'd8158d0ccceae891', 'eb2930c1a4b33a50', 'c3e7bc3a80c717b2', '61d56cc08c4036e7', 'c4c41548cbe80a57']; context = [[9, 63], [120, 187], [213, 274], [44, 99], [77, 133], [70, 129], [43, 81], [74, 118], [8, 64], [14, 82], [0, 55], [76, 117], [2, 46], [5, 45], [37, 79], [54, 116]]; loss = 0.068155 low_pass_filter = 0.300
+Epoch 0: | | 26229/? [4:08:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 26230; scene = ['51a634a44dc01dd4', 'f14721fab585c585', '4e87d89c2b4138cf', 'b0ae260af883656f', 'c8e171e498269ea3', '55e04e9b50ee3cd7', 'cfa2450736df61d1', 'a7285c6e5c20dfc2', 'b620dfaca7a37365', '310940bff3f06d17', '2ba97c65f2b6b12d', 'c91a840348807d57', '3d324e5e8a7790b5', '24502963bafe2fa5', 'ce93ee0eaca72e6b', '07486563a4a6767e']; context = [[48, 115], [3, 43], [0, 42], [20, 62], [27, 72], [40, 92], [15, 82], [54, 114], [46, 97], [53, 107], [3, 42], [23, 73], [75, 134], [147, 188], [55, 102], [16, 69]]; loss = 0.027652 low_pass_filter = 0.300
+Epoch 0: | | 26239/? [4:08:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 26240; scene = ['cf4f7a2e4420a67d', '5055bcc3bc958a3f', '0d094a1d96c9c1e5', 'ede5e00730594db7', '11323607c1d04845', 'a0da76d51b39f2d1', '77825008ac6c663b', '70e6dc2e07efc73a', '8f733bc506395644', '742beac7bb67515b', '2b38f48e832e8d20', 'ec16d4512645786d', '3cef0299f276cdad', '28020e268c1ba216', 'c4052755634f3314', '03c1440995e0347f']; context = [[0, 40], [162, 224], [31, 71], [118, 158], [0, 49], [7, 50], [155, 199], [8, 57], [47, 102], [5, 73], [34, 102], [164, 223], [40, 87], [166, 221], [21, 73], [7, 55]]; loss = 0.024550 low_pass_filter = 0.300
+Epoch 0: | | 26249/? [4:08:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 26250; scene = ['db811a2460c4f9b5', '7adb81ef2778ad19', 'bdeaff855b8d4e90', '2650dfe1a0b7976a', '2a06d961049b4fe1', 'fe95b1b2cd2306fd', '79bdf6f1921b96da', '13af2a8a2acc6cb2', '6f8c7d10b8feadcf', '0854759c3f66028e', '083e06ea00de183b', 'db57f8c931011117', '7dfe5f26a43a1ec5', 'f546d4b7f1fad4fc', '7d3052b47a5d4cfa', 'ea05fe4dc21b53e6']; context = [[83, 146], [56, 115], [40, 105], [9, 56], [128, 190], [4, 73], [68, 117], [8, 51], [8, 48], [41, 106], [9, 64], [215, 270], [49, 94], [23, 82], [4, 57], [15, 55]]; loss = 0.027995 low_pass_filter = 0.300
+Epoch 0: | | 26259/? [4:09:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 26260; scene = ['5c4e65ef43430b11', '054ae374f61c2e5f', 'eeae726cfc0721fa', '85a0f956742534ed', '43e705210ed8541f', '4b697e58adeee999', '73c81edabd63774e', 'c79614eb3afc854a', 'a519a1c84e497e27', 'bb9f176934162282', 'ab7014fa0e77a4d6', 'bf586bc4ea216393', 'c2b41c1750f8d948', '52d53805a8557ee3', 'd57b42a6459958d7', 'f3d8bc3e3a2a6668']; context = [[53, 119], [53, 102], [1, 39], [4, 57], [2, 53], [86, 135], [1, 43], [8, 72], [51, 105], [3, 43], [141, 179], [120, 178], [16, 69], [13, 63], [37, 100], [3, 58]]; loss = 0.024891 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 26269/? [4:09:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 26270; scene = ['57282e8799c666da', 'c57f01070bc2b9ab', '386ce9aa95670300', '2d993758bc643a4f', '659413092374c91d', '09239525e5d87fd9', 'f40f4a376ef86065', 'ffbe808b19995226', '957356aca370c325', '69214171f3c09b70', '15ef2942e2e80f5f', '28511b9f2fdb1a1c', 'ca301930c8f2ed36', '2244f7dd2c91da2c', 'caf78660bbc1dbf2', '7c4d7ed47ae232ed']; context = [[102, 168], [23, 65], [21, 87], [108, 167], [13, 75], [21, 60], [36, 87], [4, 48], [6, 47], [49, 117], [54, 116], [15, 64], [81, 141], [137, 197], [0, 44], [63, 120]]; loss = 0.029089 low_pass_filter = 0.300
+Epoch 0: | | 26279/? [4:09:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 26280; scene = ['f66bd7a84be8e9e9', 'f3e4e6fa5841ea0a', '4889794e0a6b1495', '60fb060caf4e0c64', 'f011ad5713613c52', '355fee8d8f60f8a0', '51c0bebabb18c410', '7515dca6e9b2660e', '19bda55893b8fe34', '93b947809d5bb994', '822b566d24b29fb8', '77cb8d2a58fcc095', '1d5e720fbd1a1938', '2afa66ba3b843b4e', 'f5ec2d727c316a10', '65e7cc46a70be3c6']; context = [[2, 54], [94, 141], [201, 253], [21, 83], [176, 214], [204, 258], [65, 105], [65, 103], [19, 87], [42, 82], [23, 75], [0, 69], [88, 127], [94, 137], [19, 72], [30, 80]]; loss = 0.025428 low_pass_filter = 0.300
+Epoch 0: | | 26289/? [4:09:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 26290; scene = ['f51137376d99b7c0', '06664d17c613a563', '85d089291fa710c5', 'f0e3087ed60f8e68', '53e9f13ccdca849d', '551c02958152377c', 'e26035577b7e94b8', 'a514bcc8aced0356', '256bf843493c6450', 'e69fd4d779e61812', 'dd60a3647c0f9251', 'a884a290e94bf314', '1893323a19021d8e', 'af1312953ccd5886', '43dfb1a02857ba00', '4f336e4103d97389']; context = [[14, 79], [0, 70], [21, 68], [44, 99], [40, 96], [100, 161], [217, 269], [8, 53], [5, 69], [5, 60], [4, 62], [11, 53], [83, 134], [83, 149], [12, 73], [12, 76]]; loss = 0.024317 low_pass_filter = 0.300
+Epoch 0: | | 26299/? [4:09:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26300; scene = ['743fd8885643d3aa', '6b54e3dd731cf914', 'b3aed54c0e53ca56', 'b08dd02f55c030c9', 'b31b65628bc2a5ad', '6b5f5aaea390ff12', '689a2285be81da67', '9b663c4f43cd593a', '010b84cc55023da5', '8f5d7d23fd6b1e82', '0f79891c783d6030', 'acdfcb7d73532ac6', 'b7306ac29446f137', '400376ce3228c125', '687e1775ba2acdd4', 'ff6d8a229199dbec']; context = [[72, 129], [51, 95], [160, 223], [125, 182], [59, 104], [8, 53], [1, 44], [16, 86], [55, 105], [84, 143], [2, 59], [18, 83], [28, 79], [84, 126], [8, 75], [11, 69]]; loss = 0.026657 low_pass_filter = 0.300
+Epoch 0: | | 26309/? [4:09:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26310; scene = ['1b4fd4991b47bc6c', '496427e957357bbe', '722803657cfd20e9', 'b2ccc67dc6c32002', 'fb1ec62bc72d0af5', '06f2bf1a82198a46', 'a145cd9e7dfe9cb5', '5073d486cb7f3cd0', 'bd98a6e9beca8ce0', '9d5681ac698e7930', '0bf7fd35f239db86', '03e14075bd5a554f', '2d2d0f5f4ed37eee', '70ba8be172f1d209', '7a2d701dd0bf81cf', 'fff4b775cc7b0e4f']; context = [[42, 89], [29, 69], [41, 92], [2, 50], [15, 80], [8, 58], [20, 66], [3, 58], [2, 42], [16, 77], [118, 170], [3, 45], [12, 52], [17, 63], [6, 74], [2, 44]]; loss = 0.035544 low_pass_filter = 0.300
+Epoch 0: | | 26319/? [4:09:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26320; scene = ['0db45743986b5100', '4a6092a27f74cb4e', '5189b82e134b6e70', '52ca0e96b0cca020', '8b4c5afff771fc3b', 'a376eeb2a6b48b9c', '48168fce6cb19de6', '38ce8373de250943', '366c23d4d72ed2c4', '49a5dd8a112fa073', 'eff3cec8a8ad0b19', 'f96e2330b2ce9910', 'e656d52bcb246c51', 'addde38c57090b86', 'c2b493a3f453b580', 'f6b4b22a93e98fdf']; context = [[35, 94], [34, 83], [229, 271], [220, 262], [1, 42], [9, 73], [94, 152], [3, 63], [28, 69], [6, 76], [51, 101], [65, 104], [20, 73], [9, 49], [40, 97], [2, 60]]; loss = 0.024733 low_pass_filter = 0.300
+Epoch 0: | | 26329/? [4:09:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 26330; scene = ['610f1f1af8e1f55d', '941e0a0cb21e3c73', '4a06926761d6bb80', '7b93668d35de0c1c', '1d83954cc8a5837e', '07ffd9c3d6f843fc', '068fcb66dfca20b7', '0cbb43ca1e42ae27', '3d33b3e26cef331a', '013c246d246a1697', 'eb10805a2b162c35', 'c356f39d4a9b5f4f', '03ad20fc0aba70af', '33eed6607cbf07b1', '8401d56bc98ffd44', '0b84503d6c8ee95c']; context = [[3, 63], [93, 156], [41, 96], [1, 71], [180, 232], [198, 249], [10, 54], [5, 66], [208, 266], [30, 75], [6, 62], [50, 113], [157, 221], [184, 254], [5, 70], [0, 39]]; loss = 0.027849 low_pass_filter = 0.300
+Epoch 0: | | 26339/? [4:09:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 26340; scene = ['1817737ac6b18f45', '42209a96fb2db3c1', '41a5f2ec0c95a471', 'ec3000b33e02444a', '7df95d8d2d2933b7', '5906b1f53b8b266f', '971586ddd0d6a4c7', '43d042f674f94209', '17be26421f669650', '313cc78ecf6c53cf', '4b699d89d1a1353f', 'b7d197b74ecf0646', 'd79152894aa2c4b8', '61669d0878ba137c', '4fd852226711ffa9', 'a8e59959de741791']; context = [[81, 140], [173, 229], [7, 47], [10, 64], [42, 102], [142, 183], [13, 55], [0, 48], [28, 92], [10, 76], [3, 60], [46, 108], [22, 90], [5, 44], [70, 119], [4, 65]]; loss = 0.027789 low_pass_filter = 0.300
+Epoch 0: | | 26349/? [4:09:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 26350; scene = ['21f58dd661a17f08', '13cc7af9fa1c5b1e', 'be1f92c942aa1d9c', '1c6d5d3f3957f715', '0be7e9a8e6cca579', 'caa3a366a71a2bf9', 'f83523465592a970', '79fc8c8327fdd797', 'e9f4b008fc5b70c3', 'd67b9d78d72e8afb', '1d76c3d341a60952', '050adb5ab07ff381', 'ee47d21c4fe6fe7b', '6e9f0df7451bc842', 'a27e4ed0659b4710', '8ee6d91658f575f1']; context = [[114, 163], [50, 104], [4, 63], [60, 114], [1, 66], [0, 54], [219, 274], [138, 203], [21, 61], [19, 78], [105, 154], [12, 63], [199, 266], [1, 46], [197, 256], [47, 91]]; loss = 0.030923 low_pass_filter = 0.300
+Epoch 0: | | 26359/? [4:10:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 26360; scene = ['a8a9227f5d789eb5', '1881e13a88e87fc2', '1dab88f5a54ee41a', '0c3ad0e885ed9a31', '893115dd43a04a27', '7cbb764b7aa8a1d4', 'f51bd3c5d50335b9', '238a28384742ad6c', '1c0afb164be04052', '27943152644d42c2', '80df049a2df21988', 'e0ca058fbb73495e', 'd75bc06e3fc14333', '5817b7ccc056f135', '9b6abb583f61a99b', '2f799acf6bbfcf79']; context = [[38, 80], [83, 122], [36, 105], [210, 270], [49, 97], [113, 167], [4, 55], [34, 93], [67, 108], [32, 81], [31, 73], [20, 65], [3, 54], [44, 85], [90, 138], [0, 47]]; loss = 0.025049 low_pass_filter = 0.300
+Epoch 0: | | 26369/? [4:10:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 26370; scene = ['43df8b14b0450f89', 'b43dfc6680f84101', '4264fb9e606e7b41', '81f07dd22d17b17a', '43f8b70f4a7d39a8', 'f1aed96a3877dc93', 'e695acc618a0b3fb', '6efa62598fececd0', 'bb8df0200c9fa103', '524fb31ac3c4c6e3', '2e7ce89b626118f3', '6d2aae2a7dd35e14', 'a504d1dfa7beb5e1', '3b2a475a8d70e866', 'cf0bd6b91722d169', 'af16df876bd332c8']; context = [[2, 72], [114, 172], [32, 88], [16, 78], [110, 166], [4, 68], [183, 235], [207, 276], [6, 51], [15, 73], [0, 60], [22, 62], [23, 88], [141, 198], [25, 78], [23, 68]]; loss = 0.030364 low_pass_filter = 0.300
+Epoch 0: | | 26379/? [4:10:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 26380; scene = ['db40e459c8979778', '1629b949594b36b5', '4832765fde4b5c76', 'b285926ca059a521', '8ceccd568474348f', 'b9c0beab80c28377', '9ab83ba6f3dee716', '8f75ef614e485fb3', '45b743f9172c9d72', '6b12f7fc86a8ce4a', '098085673ae3b8f9', 'c61da3d71ad8e0f9', 'e2782c697c307b5c', '99560b8c97c4866f', 'bced85140b42b6fb', '83b6c9f023f5e600']; context = [[20, 76], [4, 60], [46, 96], [43, 113], [52, 100], [6, 62], [16, 68], [2, 64], [17, 76], [46, 89], [26, 83], [55, 95], [22, 71], [11, 72], [55, 122], [87, 138]]; loss = 0.026102 low_pass_filter = 0.300
+Epoch 0: | | 26389/? [4:10:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 26390; scene = ['06e13bbcd45d9b41', '95a0d597cde1605b', 'c8c8ce39dc4c58d0', '654d07e5521de19e', 'bd38fbc45309fee4', 'eaee1f77f3e4646b', '987e3822942e5a91', '19a84a67a3a07e70', '28666c8512c4c8a4', '6b19a5bb419f101f', '31dbaa019cefe1aa', 'a967ab2ced4b1bc4', 'b36dcd3f5bc7a4eb', '4d35d640d775aea7', '0402b44b67cb86aa', '342c039d30a72ede']; context = [[6, 63], [105, 175], [30, 99], [51, 93], [31, 88], [49, 116], [22, 67], [0, 69], [85, 148], [3, 63], [28, 87], [48, 89], [2, 64], [8, 76], [68, 112], [25, 88]]; loss = 0.033554 low_pass_filter = 0.300
+Epoch 0: | | 26399/? [4:10:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26400; scene = ['36207c22e4ef1437', '9ac3a25890d1c066', 'd3d8f60e4ba32fae', 'd75bee1cfe6eb53f', 'b63a129577a096a2', '5ab3d7a64b47ab52', 'dc068443ff649ed5', '23e13fe2f959531e', 'f318c630d079b064', 'd345268172e5732e', '88655ea7f5e7e420', 'ef2a5bf375f9eda6', '481956b576e9c042', 'ddff7ff1e6732648', 'df864e287334d755', '7e933251d5484bf9']; context = [[87, 127], [3, 48], [19, 70], [11, 81], [32, 73], [66, 109], [18, 77], [38, 98], [0, 53], [38, 107], [71, 132], [168, 223], [77, 133], [93, 161], [212, 252], [32, 82]]; loss = 0.027173 low_pass_filter = 0.300
+Epoch 0: | | 26409/? [4:10:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 26410; scene = ['fc8c7cb71ebb4a8a', 'c5d5fa62ef778af7', '953fd237501e5b53', 'e8a8f9f332e58578', '9c991649a1e92906', 'f4b8e03f8512d2d2', '5a1280620a5668fd', '061dc96802b19add', '8246780079add2ad', 'a551cf6503324ab8', 'b889e10f246936aa', '6aba476ffd0b4320', '4d1ef055f0d5854e', '9815cb01a1e2e684', '558b37c5013253a5', '2a9513554c6c7a29']; context = [[114, 183], [13, 59], [3, 48], [195, 247], [0, 57], [55, 94], [17, 64], [3, 60], [42, 101], [3, 45], [212, 277], [59, 99], [93, 149], [42, 83], [11, 61], [64, 111]]; loss = 0.025914 low_pass_filter = 0.300
+Epoch 0: | | 26419/? [4:10:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 26420; scene = ['082ba86063ee7e6f', '41868518745c4b75', '22d8382cf0164976', 'bf9a4b1f7627c273', 'fb56af60d6f44825', 'dcfbbd4796e0d887', 'fc15fd0a7d1bd1b2', '0c30cc66e004912a', '32449d5801444b95', 'ac04b9c416792d26', '4b6452c634b79f57', '2b9a91ff3b76ac1f', '7e6e62f4d393df44', 'f20f2c66b7cfb222', '485e3ebc5ef46c4f', 'c1b5d15e2f52afc4']; context = [[192, 258], [58, 126], [17, 76], [17, 81], [74, 140], [2, 64], [12, 77], [7, 77], [2, 67], [15, 66], [8, 56], [157, 227], [49, 118], [40, 104], [4, 44], [1, 55]]; loss = 0.029618 low_pass_filter = 0.300
+Epoch 0: | | 26429/? [4:10:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 26430; scene = ['eede269444f4bead', '43f8abb298e24592', '130f4012951a6f3c', '9ff158208cde959b', 'e4a04ce635b099dc', 'd349326e60a609fb', '35adc3690881195b', 'dd3f404dd28793c0', 'efa95ac103434193', '28be161d37f468d0', 'ba9f28692c62d379', '081198dc5e02cbb4', '856bb1da2f10d78c', '3b9e4746198f5f87', '05811acb5942dc8a', '00f0397d5f6a855e']; context = [[125, 166], [5, 64], [165, 232], [22, 62], [43, 85], [78, 127], [54, 117], [2, 68], [31, 78], [84, 131], [35, 89], [1, 51], [1, 62], [2, 48], [180, 248], [103, 159]]; loss = 0.024506 low_pass_filter = 0.300
+Epoch 0: | | 26439/? [4:10:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 26440; scene = ['b69a6176ca73bb80', '9164e11049261164', '3d815e82280adf55', '82287431217a5884', '99e60f10e4d0acb3', '962bb93ece5a86c7', 'e81ad0d1b43649ef', '41c72cd693116118', 'a6231e1d75daab63', 'ba76ae55718c204b', '654b984035c8e861', '09c8aab6df495141', 'e14f4c7e2b5bf74a', '0e361cd3050f0a1b', '4fa5b973a37f2ed4', 'a020f3293839f1a5']; context = [[15, 85], [22, 78], [23, 85], [52, 108], [162, 224], [7, 52], [132, 173], [30, 81], [55, 108], [13, 77], [3, 69], [2, 43], [18, 73], [0, 40], [5, 62], [65, 133]]; loss = 0.031905 low_pass_filter = 0.300
+Epoch 0: | | 26449/? [4:10:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 26450; scene = ['de4c1e33bb129308', 'a4a364baa7187169', 'c8c4201109bc6d8c', 'e5ff694aee468c12', '7f09d838fe8e8933', 'b1b2d569f690ce97', '373094b17ae8455e', 'd275b7f5d283f816', 'c1dbe882bf1718bd', 'db4ff231d9dab8ba', 'fa4316f495944216', '85e3d37d8d19004b', '50feecd89278780d', 'e5fcd9490d306b0d', '404a47d74c89b6a0', '3a20e5e7dffd7be2']; context = [[18, 57], [226, 275], [40, 106], [31, 85], [0, 57], [23, 81], [14, 59], [18, 68], [64, 109], [0, 60], [7, 75], [16, 71], [12, 68], [17, 65], [10, 69], [188, 228]]; loss = 0.028889 low_pass_filter = 0.300
+Epoch 0: | | 26459/? [4:10:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 26460; scene = ['15878c2f09b31224', '7d28e8894f6dbb1d', 'fe783058309b4d12', 'b28521f1b8c1cb4f', 'd4bae90de6509e7f', '8c6bba80f9684632', '9ca4f73505c058bc', '49c6f4b5390d3884', '313953db49c7e137', '2cfb86733da669f1', '626899ad1d3d7192', '148b63d9d88a8e82', '831a3db60fc18f27', '34bc5f17b90c33d8', 'e22cb2bd60105620', 'aceb9b9af0f6ee12']; context = [[132, 175], [91, 134], [5, 48], [11, 51], [68, 117], [3, 67], [8, 60], [114, 164], [60, 120], [32, 78], [20, 80], [0, 45], [3, 46], [25, 90], [71, 115], [1, 46]]; loss = 0.026638 low_pass_filter = 0.300
+Epoch 0: | | 26469/? [4:11:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 26470; scene = ['2c7eeeabd8741a8b', 'e8ab766619331d3b', '3664b674b6366549', '54d0b9c20694ae47', '2c4ec7127111bce1', 'd8a5d7ed2df85474', 'e8164998fa4d92a3', '60d80d50cc0bce1b', '119c24c05102a5b5', 'fb215dfa4249d979', 'f5a4588213a5cdfa', 'acd2ed932e21f625', 'a6e4e5e1b5d1539d', '527a2de7a08dfc20', '22e44c9efb4ac335', 'f272bac50c6f6f32']; context = [[15, 73], [0, 56], [134, 193], [18, 58], [10, 60], [25, 64], [117, 167], [15, 72], [20, 59], [90, 135], [4, 43], [0, 55], [7, 71], [5, 60], [1, 49], [7, 62]]; loss = 0.028493 low_pass_filter = 0.300
+Epoch 0: | | 26479/? [4:11:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 26480; scene = ['b9d5a15eacb4c724', '4e99ce8dc4d1064e', '346e62ad09069013', 'a1fad01a8c249fd3', '6fc73551f1244422', '1e543f770095bd2f', '59220df676c7b430', 'f67681804659fb89', '1546d04a6b9feb92', '46aec7ec241892c7', 'b9d744bbfbf05528', 'b511c88b16643809', '09adc9c073dcc81f', 'f760b9c83e882756', 'f9cc10023bf41280', 'a80f9fb86b6b84c3']; context = [[0, 40], [20, 60], [142, 187], [87, 144], [21, 61], [26, 68], [41, 88], [23, 84], [50, 90], [28, 76], [8, 51], [0, 48], [2, 47], [4, 44], [9, 59], [111, 163]]; loss = 0.030632 low_pass_filter = 0.300
+Epoch 0: | | 26489/? [4:11:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 26490; scene = ['c82d650fe5734c85', 'c5ed8ec466ba90ae', 'c56ff3fa210c1457', '32f43866ffda7f8c', '2b36d6197e8ad551', '047e7dfc69533d85', 'f279ee0ac940c8f9', 'f6ed403d51c084b2', 'f04708b15586fceb', '09f5ce489b61a6cc', 'e94399e61cdc8ee7', 'd23c63fc810f3d43', 'c3f121951504f029', '6a2b388246b639d3', '0fa85c737e39a16b', 'a79878c670ca903f']; context = [[25, 65], [139, 192], [28, 96], [23, 80], [17, 70], [28, 68], [15, 85], [28, 81], [23, 86], [18, 61], [10, 60], [2, 49], [81, 123], [17, 82], [124, 168], [27, 83]]; loss = 0.027380 low_pass_filter = 0.300
+Epoch 0: | | 26499/? [4:11:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 26500; scene = ['a5a9ea8d2ec80fa5', '1e70d59cdc2296d9', 'ec938727ca124155', '6b00d03a245eed96', '8ddca90ddef969af', '5c1dd2301e22374e', '72b3e2dda6cd3afc', 'e38274129f29ce92', '487dec4b7b2ebd90', 'aa5affe1e69017b1', '37bab43436b959b8', '367a22812a39d7f3', '0acb50de3333ba56', '8d88417d149343a3', 'c778e8ffb973ff2f', '1c24110d82ca7fda']; context = [[38, 84], [48, 115], [22, 68], [4, 49], [144, 190], [6, 51], [118, 175], [1, 52], [51, 113], [146, 188], [167, 207], [159, 199], [171, 211], [33, 76], [72, 129], [37, 106]]; loss = 0.025979 low_pass_filter = 0.300
+Epoch 0: | | 26509/? [4:11:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 26510; scene = ['861308ba77c9244e', 'eeb054ee23310531', '1d7eaf00094f2017', '46564aa3cafd9354', '6f8cce689756a07d', '47c387efbac50758', '2088ec79cded5c6f', 'd48d56679e4ef811', 'b87faab6a8ba27a7', 'e361cc2d6ff1dcbf', '0c6042e9899a2e96', 'f896f057f530ebce', '3ceae7bf233b07e1', 'd3b0bdaf452577d0', 'c2e363674f808d28', '62aee613a1a82b79']; context = [[0, 53], [3, 66], [135, 174], [17, 61], [31, 82], [23, 78], [104, 143], [20, 79], [2, 52], [51, 121], [66, 126], [85, 127], [28, 69], [57, 115], [35, 105], [170, 217]]; loss = 0.028726 low_pass_filter = 0.300
+Epoch 0: | | 26519/? [4:11:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 26520; scene = ['8aa1d2417ba6be10', '99165d98e0be439a', '32067753f8e8d4e0', '51871f23bb65dd5f', '680269475a3d39bd', 'd3cd37f926d8a6ed', '96505316a4f6a36e', 'a28cbb1b7942618b', '851c56423e13bfa1', 'a992c9caf06a70b5', '3d5aba046f430460', '35b175d2b24bbb7b', '7c1ed1fd5eb3d2a3', '78c6a6ee640ddd5d', 'f3fd994a22e6fca7', 'f12f15a49d26e3cf']; context = [[11, 77], [2, 60], [91, 158], [23, 84], [46, 112], [93, 135], [23, 77], [98, 147], [86, 146], [26, 76], [59, 119], [140, 182], [25, 67], [1, 61], [12, 68], [173, 239]]; loss = 0.026727 low_pass_filter = 0.300
+Epoch 0: | | 26529/? [4:11:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 26530; scene = ['e101281055858415', 'de96cee44a164178', '2e13acc64828de67', 'e71b3880b9c83ebb', '15ad28d8b49e49d5', '70db603854f2299a', 'c0f2f342a213de80', '69527b537b77e803', '6bf7ab3fde3c1c14', '58de4f6887b1c21b', '3c6e138710fa52e1', '0a6608f992d052c9', 'c1cad7540b667a53', '6adb937f72020aa9', 'ace3b09a2a2be08b', 'e5036ebafb2c7a4f']; context = [[1, 52], [39, 106], [17, 62], [11, 74], [14, 84], [10, 75], [5, 72], [86, 155], [175, 220], [50, 101], [6, 75], [77, 145], [63, 119], [3, 69], [214, 274], [3, 48]]; loss = 0.063708 low_pass_filter = 0.300
+Epoch 0: | | 26539/? [4:11:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26540; scene = ['1caedcb062e1b3de', '8ac078c9df050ea5', 'b49c16ee8cd0a9c5', 'd02f4746a46976f3', '0db328ffc64402f3', 'c04b6ad2b52356b7', 'c666100576cb730c', '8ef5f29044553f72', '34dc84e620c09247', '4313fad787b8a322', 'baa3d02c60811eb2', '419eb6d22093c07f', 'c0626c14cc473106', 'dc93234e747d0007', '97374b1ae774d836', 'e76f65b738b1ee97']; context = [[106, 171], [26, 94], [116, 156], [17, 61], [2, 63], [48, 118], [0, 60], [204, 257], [44, 108], [177, 216], [46, 91], [2, 67], [50, 104], [40, 88], [0, 40], [51, 108]]; loss = 0.028267 low_pass_filter = 0.300
+Epoch 0: | | 26549/? [4:11:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26550; scene = ['70a20d40c095d870', 'c66103cf29564bcb', '81fd78f84209f2e1', 'f70ae846db4fddda', 'a622560296708d3d', '754a52ce12b77483', '41b80c5fb43019e5', 'dbdde58cc9737f08', '8c710017b7fa073b', 'bef206c32ad4b41b', '3c15b2ce08b4d3eb', 'b340e019a793df93', '53140bcec95f837d', 'bbe174f58efa95da', 'f62a96c564a818d4', '99d7f418edf306fc']; context = [[187, 232], [26, 68], [7, 67], [35, 76], [148, 196], [5, 57], [86, 142], [0, 49], [73, 133], [17, 81], [45, 91], [12, 51], [10, 57], [50, 89], [30, 97], [34, 83]]; loss = 0.025156 low_pass_filter = 0.300
+Epoch 0: | | 26559/? [4:11:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 26560; scene = ['6c57ac55cbade318', '1ec41f3828e1065e', '826f1e427bcb4f78', 'db2911d71cd2d389', 'abda7c79ca34c2f8', '564f2112de1a31e6', 'a308376472392fc6', '2598b88b7b7d2119', '5aad4a21ce37e53e', 'b41d3898f57085e3', 'f2814d17062330d1', 'ce4fa27b4ee5955b', '1182579e7ca4ef88', 'c38816ffe6b2c633', '5bf1d42524c02fb8', 'b8e91cbe57d886af']; context = [[11, 51], [5, 61], [20, 61], [44, 86], [1, 42], [23, 72], [3, 67], [0, 55], [3, 42], [142, 198], [0, 62], [10, 66], [0, 70], [83, 136], [94, 163], [48, 97]]; loss = 0.034684 low_pass_filter = 0.300
+Epoch 0: | | 26569/? [4:11:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 26570; scene = ['f7ae6d44685f3937', '720c20829e8facbc', '93138f88c119600b', 'b11c5d0cd9af5712', 'd7d1fe25faac6ce6', '0a6d4b1cf8a5128b', 'b04c0ee3b1119c4d', '1dab88f5a54ee41a', '7cbb764b7aa8a1d4', '0764e2aef8878016', 'a8a9227f5d789eb5', 'ec44c38dfa1244f4', '893115dd43a04a27', '45c8efa45012ba79', '1881e13a88e87fc2', '0c3ad0e885ed9a31']; context = [[66, 116], [34, 92], [60, 99], [22, 79], [95, 136], [2, 57], [25, 88], [36, 95], [98, 168], [17, 87], [25, 76], [74, 127], [23, 86], [70, 130], [155, 195], [10, 55]]; loss = 0.023730 low_pass_filter = 0.300
+Epoch 0: | | 26579/? [4:12:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 26580; scene = ['d8749c1963646f9c', '598e1195b077412b', 'e119a30983701677', '42057c3b83ab615d', 'e9c0162d3318fc71', '026586cd63f93693', '5f2d5d51a4b7c17d', 'f0d4d5d4b6b0d990', 'e1e6efd63e4c05df', '40492a9187bb4c2c', '98d0bc07e597d5b4', 'e0c6d65300fd0eca', 'f65b0f1c85220945', '86aea91ce8ac07c6', 'ac65b15a2ffa472a', 'ba81a709a3ccbf60']; context = [[6, 51], [35, 81], [225, 273], [14, 58], [21, 85], [74, 131], [5, 66], [7, 64], [15, 64], [48, 101], [50, 101], [2, 50], [141, 190], [28, 69], [146, 196], [33, 99]]; loss = 0.026042 low_pass_filter = 0.300
+Epoch 0: | | 26589/? [4:12:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 26590; scene = ['85ee0fc26f209eac', '767a02e7d26e071f', '2b607188b335e0ad', '56f0d70786d99f4e', '4ae568405ba121e6', '3914c72798afbf55', '4f626955e18d7e9c', 'da7bc556e451a90b', '11b228589e3142d8', 'e4101f73c4a93ba7', '351d1ccd07acca8f', '39357cec4dfde0c4', 'd887ff15fda99b2e', '26bbe9550ed68e33', '2eb7997ba431e752', 'd541f6cd1d92cd56']; context = [[10, 73], [41, 93], [11, 75], [13, 61], [7, 56], [21, 88], [43, 82], [122, 161], [98, 138], [13, 72], [20, 86], [4, 54], [22, 85], [3, 45], [8, 75], [59, 114]]; loss = 0.103987 low_pass_filter = 0.300
+Epoch 0: | | 26599/? [4:12:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 26600; scene = ['f964748aa07c1b15', '3dcfa33d00232112', 'c6b42d6e8cebec2f', '854a9ae4c223179a', '1ed3d0dda9649020', 'c03bb717234e2031', 'af2748330e5243d0', '08c26703c4987851', '4012c15c8381568b', '1e7c432d2207b6f2', '6c194892817e9e11', 'a3f4af0fb099f284', '024a0070a97b88f1', '7f60555b6995c522', '6b549d67d37b3d6a', 'ff5a148b852949ec']; context = [[32, 103], [23, 64], [82, 144], [105, 151], [70, 117], [72, 134], [1, 42], [36, 86], [0, 54], [177, 233], [3, 55], [9, 66], [212, 254], [3, 51], [205, 252], [92, 132]]; loss = 0.029121 low_pass_filter = 0.300
+Epoch 0: | | 26609/? [4:12:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 26610; scene = ['df3bee9f003d29e3', '147e4f3e5f03f3d4', 'edb4dc387938a7d6', 'b343ee38d1af9b62', 'ff9d298f6b015e8e', '3a83bdc14c1cb16f', 'afc958b085aa7602', '717fbe8af3bedede', 'ecfedff3029cdf60', '819929ad0c9c6d80', 'a64b425ddfd876fd', '9a9370073a9e5750', 'dbfe9a4ee42840da', '541c76823a60ff80', '8953b5375b36fc16', 'da887eb3ac647f2c']; context = [[24, 90], [46, 86], [28, 80], [2, 54], [26, 91], [204, 247], [116, 159], [3, 74], [10, 54], [56, 99], [45, 102], [46, 91], [63, 107], [7, 74], [26, 75], [42, 93]]; loss = 0.025282 low_pass_filter = 0.300
+Epoch 0: | | 26619/? [4:12:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 26620; scene = ['d2bd3a3f16cea877', '46ea38e907a53781', 'b4e19294cf3e2116', '53907ac8b877a09e', '392052b37ba1b434', '6a3f470f8e9d66a9', '35c70af801116b59', '25129a03cfd7700b', 'd4cbeb25474a17b7', '8026620adc8bbca9', '66e9daa327eebd81', '14786c16a13c740a', '600f5072f9d48334', 'c9c5b6a222e95638', '3e4cf3c544701784', '87b0132f747a2e25']; context = [[0, 50], [6, 52], [106, 176], [21, 64], [37, 78], [27, 79], [12, 80], [137, 189], [121, 174], [5, 76], [8, 74], [1, 40], [160, 211], [4, 51], [61, 108], [1, 40]]; loss = 0.024705 low_pass_filter = 0.300
+Epoch 0: | | 26629/? [4:12:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 26630; scene = ['bea76b365cfd8732', '5c897627e7315321', '809e84770217b1e2', '941e22b32cfce42d', '837e804bcacc64f1', '86910ce80efddc7c', '84387f9cdb2f58e9', 'b0e2bc7d90dacd8a', 'a5daf8a4e91768c9', '5f45009e253dee25', 'ea52d60b5bdd8bdd', '7d581977d99bd0c5', '74603372c8f823e9', 'e350d82558087b1a', '8106401c3015f193', '1219a58b37007b1a']; context = [[1, 62], [91, 134], [36, 79], [42, 94], [48, 101], [14, 61], [1, 57], [9, 56], [0, 45], [48, 97], [31, 78], [191, 232], [48, 119], [120, 175], [86, 136], [54, 100]]; loss = 0.026320 low_pass_filter = 0.300
+Epoch 0: | | 26639/? [4:12:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 26640; scene = ['70a1d752911d5737', 'a3e92af759c636f5', '7a8f01d36193f7e3', '65cbe8017ca02d87', '5c37d130e734c913', '9a190c4a5a01bc9d', '49b0f26fa937033a', '0df03aecb95f42b0', '4e569131094e71b1', '11b68ddc34409767', '7321187b3f37253f', '9ded63a7543cee38', 'b5ca8a726d6cda0b', '007525d507d7a6c1', 'a75e6b309a152f53', '492493bffac6c656']; context = [[3, 53], [61, 128], [2, 68], [39, 84], [9, 59], [0, 50], [104, 170], [94, 165], [7, 50], [27, 73], [3, 59], [20, 73], [132, 200], [42, 89], [7, 57], [4, 67]]; loss = 0.032149 low_pass_filter = 0.300
+Epoch 0: | | 26649/? [4:12:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26650; scene = ['1ad7adae6a042ce1', '25606b1d6b79c3a5', '6dee6f17569583fc', '3151e48717cc2a77', '5893ecb5ca418955', '45ec2121ecfbcaea', '6b8bf7759c041d98', '84527525b4595fb5', '3233932b0505b21d', '99ad6a316ad09fcd', 'a8fff68fe7aa2307', '6ac0b7a065316488', 'a33d9028e55e03dd', '13172460199656f2', 'cc603826edc4a0f3', '10ee3c037e33a6fd']; context = [[7, 52], [14, 75], [51, 107], [1, 68], [14, 59], [57, 101], [73, 130], [0, 58], [17, 83], [11, 56], [100, 156], [16, 58], [64, 103], [23, 64], [146, 188], [13, 81]]; loss = 0.029907 low_pass_filter = 0.300
+Epoch 0: | | 26659/? [4:12:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 26660; scene = ['52a4f713b01a5a58', '26082fc7b0489437', '4e4199248d302a7d', '56660fe55435e0f3', '7a2ebd077df75740', '21a23abebca8c840', 'c2867dde9ccb0b7a', '3f73de068d60f46c', '2ac22d87de85c86f', 'be52e70932f6dcdc', '272cc6bef39a7a8b', '65c849d84d894291', '4358da4c0ee3c011', '1132a0c28fe8748c', '3c8f85253323337e', 'b90177a3e1663c39']; context = [[0, 64], [6, 52], [74, 127], [30, 100], [43, 85], [13, 79], [4, 53], [10, 70], [14, 62], [5, 62], [24, 68], [102, 170], [0, 50], [46, 109], [37, 104], [35, 88]]; loss = 0.035880 low_pass_filter = 0.300
+Epoch 0: | | 26669/? [4:12:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 26670; scene = ['64d29c9ab21dc5fe', '7e709a5a25a8425c', '505b2853be7ed669', 'a5a0d76dc3b7a922', '74e7377fc43b97be', '8c6fb91929e99876', '22d073042c55630a', '46d5053d66888c5c', 'bf640a5c37820405', '8a6c4732fb05ac7f', '4e2cb10509f33a7a', 'b39bc91f8f5833c4', 'b69e75125d8bc0a7', '2311c3ae85db4137', '511c2e6527e14026', 'fe1e93a2224e2631']; context = [[5, 57], [84, 142], [33, 74], [18, 69], [11, 70], [59, 128], [41, 84], [16, 59], [3, 43], [30, 69], [17, 87], [15, 84], [195, 264], [47, 106], [39, 78], [178, 241]]; loss = 0.026233 low_pass_filter = 0.300
+Epoch 0: | | 26679/? [4:13:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 26680; scene = ['4c326f63354ed371', 'c62b22de6a7495be', 'bcd63850409a4c42', '094724dd912fed9c', '0636f8d5854771ca', 'ea4146e3386ff1ac', '5b9edc356515b2c4', '0684c9b9769fccdf', 'c7462f6b97947601', 'b0d64c8ba50c5946', '0be9edb1ba9bf557', 'a8c6d043e6dfd3a0', '0ba8a59b524ec188', 'f70d8dc3f5ba58dc', 'e4832b64e5b73784', 'bdeef24748055bce']; context = [[132, 182], [21, 70], [24, 92], [6, 51], [3, 62], [0, 45], [80, 144], [6, 67], [0, 43], [10, 51], [111, 169], [6, 51], [17, 70], [8, 65], [17, 76], [48, 94]]; loss = 0.024892 low_pass_filter = 0.300
+Epoch 0: | | 26689/? [4:13:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 26690; scene = ['b95b3eaa30433e5c', 'a68c32d1761e60d7', '5e826e568765c8db', 'c4764957e63aee28', 'b470cec1e8640934', '735c5bb9d90c74c7', '7039734be2f00317', '1374f1c247f796e1', 'd1b9a1b70474466f', '5f0a8cfefdaaedcc', 'fc68db62b98934af', '51d0544fae56e467', '2e770da39beca629', '1d81f59588ab98f5', 'd0a703be7fbaa9db', '8c67d77a1f9a6b14']; context = [[3, 45], [61, 105], [135, 187], [7, 54], [83, 138], [13, 77], [25, 82], [153, 208], [10, 61], [146, 189], [23, 83], [218, 278], [28, 93], [11, 59], [35, 96], [34, 81]]; loss = 0.025801 low_pass_filter = 0.300
+Epoch 0: | | 26699/? [4:13:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 26700; scene = ['8f0bd4d4604a34e2', '531b7ab2cf0e66ee', 'd3ca344963813725', 'c3ff07c86676bdb7', 'b0549ee3eba090e5', '3deda316f214ee89', '95b01cb52bd48070', '65d87e8dba045395', '443f21df464db8cf', '50bb0587e8b1924a', 'a5ab3c04cadb399b', 'c33b9080e273000c', '3909231098c2f263', 'c202eebff41099ba', 'a230308a0397ec12', '0e4dc00fb343099c']; context = [[10, 70], [108, 175], [5, 58], [4, 50], [15, 82], [200, 261], [12, 75], [5, 68], [108, 154], [3, 52], [66, 122], [5, 62], [15, 64], [0, 43], [39, 96], [95, 160]]; loss = 0.030999 low_pass_filter = 0.300
+Epoch 0: | | 26709/? [4:13:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 26710; scene = ['c2cb3f434cb54496', 'e8f5349d18840614', '83e89ce8743d173f', 'd28b6907c373ceb4', '817e115884ba88aa', 'a19258a9ec8e067d', '1a4236953ed9e598', 'ea1914f59482039b', 'd71bedd45d2622eb', '53b329172b71e22e', '488f39c1a5278615', '8c6f7e59d3af0de8', '23f0e816937d2f10', '87e0cb1574aa4288', 'c725b2fd03d22b0d', '29e0312194a1f641']; context = [[96, 160], [39, 92], [69, 110], [0, 60], [25, 67], [33, 81], [10, 60], [91, 131], [1, 69], [24, 89], [121, 183], [152, 191], [12, 61], [19, 70], [33, 100], [10, 73]]; loss = 0.027049 low_pass_filter = 0.300
+Epoch 0: | | 26719/? [4:13:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 26720; scene = ['f5e28bbf33d46b67', '29f5e25974505939', '0a01630c946fc97e', '09c9b2d6546febe2', 'e9b1b085ebc4f705', '2177800a0b750724', 'c56beb2f0710b904', '78d3fa13abfd11af', '737a939bb47f737e', '816e80127f6e5599', '0730aaeac779e0c5', 'dea7d3794406a934', '1bfe50354dad5232', 'a0b1e9da3ec78a5b', '1cea9c18977c2f8d', '19d0c0cef05ae996']; context = [[1, 66], [0, 41], [36, 78], [122, 170], [63, 109], [27, 88], [35, 97], [0, 39], [71, 134], [1, 58], [28, 96], [9, 61], [15, 62], [18, 63], [13, 57], [112, 156]]; loss = 0.025619 low_pass_filter = 0.300
+Epoch 0: | | 26729/? [4:13:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 26730; scene = ['863466beea29e2c8', 'd56cf1bb0dfd5d92', '824d9b0d6b801096', 'c24e64f5e8aff40d', 'e0c06d9954d16a41', '230fbab2e597be11', 'dcdf61bc56f26a25', '3ff92767e37eb62f', '227bf499869cf372', 'e7bc75049b58cf7f', '4e4314a00227ed83', '3ecc9dbeec2451f0', '97c0e17033d685ba', 'a6d8c29cc124ba06', 'ea4e8db997cafe5d', 'b7f11264f90f9fdf']; context = [[170, 214], [41, 88], [95, 146], [110, 155], [1, 49], [13, 72], [88, 139], [94, 136], [22, 63], [36, 79], [33, 77], [20, 77], [24, 69], [8, 60], [116, 176], [3, 44]]; loss = 0.028202 low_pass_filter = 0.300
+Epoch 0: | | 26739/? [4:13:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 26740; scene = ['0de4e1d6b188215d', 'b9e81e1ba5472560', 'd09259776759df85', '5f70f2502a815d4e', '456580073fef681e', '1b5aebb31dd24255', '75fed782416a53f7', '774f9004411d149c', 'f0d2bd621012431f', '94f19a13fb2a5171', '9e01fa07e911197d', 'dce3791efbb4453e', '94c24998ecc23097', '685f8dbbf5c8f207', 'f784e04c9e814dce', '6cc87d3f3948183e']; context = [[4, 58], [42, 96], [5, 61], [9, 59], [50, 103], [8, 66], [30, 70], [34, 73], [1, 50], [74, 132], [12, 55], [25, 78], [12, 68], [46, 96], [5, 53], [157, 214]]; loss = 0.023974 low_pass_filter = 0.300
+Epoch 0: | | 26749/? [4:13:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 26750; scene = ['bbaf39151b2da748', '8611ede4ab1a5aba', '86f694603e158bb4', 'baa5664b5ea5348e', '212f736c5bd2cba5', 'e658243703c9a718', 'ca31f5df8294e2ef', '34ba90ddf627908b', 'f49334b723f7ee98', '5dd1c7fc822c0b3f', '85e1e791eaaaf4a9', '1ccbb12d8c77d39d', '0afb709aed993f16', '8d5bf196c1679c4a', 'ca5b908968b3a4f8', '5b1b31d1fc116fe6']; context = [[16, 77], [0, 41], [89, 139], [0, 43], [54, 114], [76, 143], [67, 120], [8, 70], [9, 65], [1, 44], [64, 127], [115, 156], [11, 61], [51, 106], [36, 80], [187, 237]]; loss = 0.023970 low_pass_filter = 0.300
+Epoch 0: | | 26759/? [4:13:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 26760; scene = ['6367621669609044', '1ca1b079e35f6300', '32210c6de62895a0', 'ceaaf2511b34ff0b', '5d0bf881b352e015', 'e165257746685417', 'b5eaddf4ac5c6f62', 'cbf08a650761cb10', '293cd4ea27b9d506', '4b1ee57bdbda4b1f', '4c206a668c76614a', 'c7844a02eecf3a20', 'd3e34d281b05cfbd', '57fea3ba60e21f7b', 'a90e228525bff876', '88caa929eb27afd9']; context = [[88, 137], [24, 86], [7, 65], [125, 168], [47, 115], [95, 157], [87, 130], [159, 204], [113, 166], [6, 51], [22, 76], [8, 68], [81, 150], [31, 101], [8, 50], [102, 142]]; loss = 0.026854 low_pass_filter = 0.300
+Epoch 0: | | 26769/? [4:13:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 26770; scene = ['924f28662eb396be', '5938817243a3f3fd', '121f019d6ea8fb00', '6f31ea1e9dfcc997', 'e902702e1098b955', '763c81a76b7c8e9b', 'f0eed2799099821c', '718526f20251ce53', '3d47cc64aa87a00a', '28deb9590a567599', 'e7b8216ada4c704f', '2300a4ed4fd9f835', 'be24fb667f3616bd', '33f3de3604116aaa', '9b0a001d70b5965f', 'cff3e7fe8d73b11c']; context = [[159, 221], [34, 97], [29, 86], [4, 44], [8, 53], [43, 88], [56, 96], [13, 53], [6, 59], [52, 97], [10, 79], [130, 173], [9, 75], [30, 78], [4, 72], [43, 101]]; loss = 0.024283 low_pass_filter = 0.300
+Epoch 0: | | 26779/? [4:13:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26780; scene = ['323bad35e4ebd63c', '09852bbdde224aa2', 'b3871abf5fab3140', '2800468d7b4c451a', '97bb49da6db4ba71', '90618ff8315f15a0', '0828e4ae23eaca23', '14013d33c1b775e5', '70618a29f2715285', '87c01e3c7b697584', 'a99dbe2fcb659ead', 'ef0d4dd02797449e', '4556d3c734620cac', '12d1e2faa3e53d42', 'ef2133eff7b3387f', '0e4223f5ba3ed4fd']; context = [[41, 98], [121, 176], [14, 63], [5, 47], [53, 105], [48, 92], [27, 67], [100, 142], [27, 75], [20, 79], [3, 48], [1, 59], [52, 103], [11, 65], [13, 68], [78, 117]]; loss = 0.027625 low_pass_filter = 0.300
+Epoch 0: | | 26789/? [4:14:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 26790; scene = ['05b07df7b5443976', '1c5722cd92190398', '3bd8b6fc41cb1a82', '92e2c39c1b535214', '5f50c0139db3d146', '5df639b6091c31e1', '483a3398bde8d8ff', '812f66c0ca94fcc9', '63152876b2962eeb', '6ab4f1994ae94609', '2341163e34fee01b', '42928282597bbae6', '78571463ec1147d0', '1c713c10ecf5a0c9', '05f18e7816df2637', 'f4020f90115a2b8a']; context = [[17, 88], [6, 52], [153, 219], [48, 92], [11, 59], [0, 48], [9, 70], [105, 163], [1, 48], [32, 84], [0, 42], [52, 98], [5, 66], [7, 58], [37, 81], [29, 79]]; loss = 0.025245 low_pass_filter = 0.300
+Epoch 0: | | 26799/? [4:14:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 26800; scene = ['5e6c8b241ce519bf', '5536007fc18a0659', '1d723573da63bcdc', 'ef80ab038f2341ad', '69e5729f406916bd', '39e85d8e0e948e66', '73fc75bd5d1e83a9', '67cc762eeb7f36a0', 'e6ebcb405cb22ef5', 'af56b0f58fe563a0', 'd173fad8e92ec1e5', '4925526b9cdca49e', 'b1efa62d2742528b', 'adc2ce1eb277afc0', 'bf8aa06772079ba3', '866e1164e81a9d4c']; context = [[0, 68], [2, 68], [19, 72], [59, 98], [79, 120], [14, 64], [23, 69], [141, 199], [129, 200], [1, 72], [2, 71], [122, 163], [32, 90], [9, 64], [38, 90], [79, 135]]; loss = 0.028512 low_pass_filter = 0.300
+Epoch 0: | | 26809/? [4:14:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 26810; scene = ['ab3efab32f6c6653', '3a1bbab383b6d2c1', '4364178b0f95b1b1', '6e18ee33a66f3d17', '37dce16fd81d0a43', 'e29c82e0b3dfe00a', '6014149afc820ee7', '887c0ef17477aa42', '764281da53fca2a0', 'c084573502466243', 'da3b6adaf492411a', 'a52873b76bc23753', '7bd870f9b2a9a6f7', 'a3655a06595bfb29', 'e4d6ec2508bbf420', 'bf09418608207a23']; context = [[33, 103], [32, 102], [12, 59], [36, 77], [7, 59], [44, 84], [8, 68], [46, 103], [12, 51], [127, 176], [5, 50], [138, 182], [24, 70], [50, 114], [45, 89], [43, 94]]; loss = 0.028002 low_pass_filter = 0.300
+Epoch 0: | | 26819/? [4:14:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 26820; scene = ['ed3419371f6b0b6b', '5d120972a05d6520', '28940119010f59e9', '299a59047ff48dbd', '0c844f4fc43d10a1', 'fb2fc136084bf16c', '299e1a5a31cf0a2e', '425d2142b08997bc', '5bfee65d75f600d2', 'e163a2ae0b4a58fa', 'e25a098ead78527d', 'bf935be6b886ef6f', 'e429ef8c927402f3', 'ad69885e675d996d', '9b083e044fadb8bf', '1db855eb2be5b983']; context = [[1, 52], [8, 72], [37, 97], [60, 107], [67, 128], [83, 146], [75, 138], [95, 154], [3, 47], [51, 97], [82, 152], [64, 105], [74, 126], [96, 157], [2, 42], [193, 237]]; loss = 0.024105 low_pass_filter = 0.300
+Epoch 0: | | 26829/? [4:14:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.40, train/active_min_children_step=4.000train step 26830; scene = ['85ccc785967a3105', 'd204a75d5c724077', 'ed4f0b586c17396f', 'fd2dfd73f01c7262', '07659a0418a472c8', 'd5835fb2f9cdf90d', 'f36ad32e649117b0', '5258ae529f43e083', '8a09ec7946cf4938', '180608332f0b1b2a', 'accfed2fa6ff849d', 'e53ec34eab835d44', '2225123ef31a93e4', '89b54f912927a60b', 'd0aafe6b7593a8c6', '75e5ba7e7fb64fc0']; context = [[58, 121], [4, 47], [9, 72], [23, 66], [8, 52], [184, 229], [25, 70], [2, 47], [59, 112], [23, 84], [30, 88], [215, 254], [15, 82], [47, 102], [10, 70], [33, 93]]; loss = 0.030156 low_pass_filter = 0.300
+Epoch 0: | | 26839/? [4:14:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 26840; scene = ['6bf93a0798a3896b', '032004811137e0f8', 'c2109cda6feb0115', 'bc754662fd77d7a9', 'ec612daa51a68448', '32c3d82c04192329', 'b7e4838a0b0d03b3', '0e156bcb1766c1bb', 'a3e89411f1ff997d', 'f993d7ccd6f449e3', '35a4d130ab0cbc9b', '998951524fe8db09', 'f80b9ad0e5617bf4', '5e3b3f5b748f6ad9', 'b172cf5674a8282f', '4191d2b8b0260e8b']; context = [[33, 79], [19, 63], [6, 48], [72, 117], [1, 56], [18, 80], [13, 65], [3, 64], [23, 78], [39, 99], [17, 57], [39, 96], [2, 71], [17, 82], [129, 175], [1, 61]]; loss = 0.028464 low_pass_filter = 0.300
+Epoch 0: | | 26849/? [4:14:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 26850; scene = ['dfd10e28913ac338', '97fa7a9fd6aad458', '7dfb75974e20d9f6', '99930c26f84df602', '9ca409a970f99e4e', 'cf96acfe14a34f96', '52983a3110a185fe', '780c668f832099f5', '0284951ff54ee710', '4eeece700a2f060d', 'd4cc5c4887f72d3e', '52a2be44c9847115', 'da6ab468a5630616', '7db8c4965bba509a', '609d6205bab3f9de', '36020c6c8008b3b5']; context = [[7, 62], [51, 117], [2, 61], [46, 91], [23, 83], [5, 73], [25, 67], [27, 70], [12, 80], [61, 101], [33, 82], [155, 194], [2, 44], [64, 103], [8, 47], [21, 60]]; loss = 0.026025 low_pass_filter = 0.300
+Epoch 0: | | 26859/? [4:14:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 26860; scene = ['39d85773336cae3a', '9753a8291766b5da', '9c77cb4edf2300b0', 'd8d10da8948e5676', '70f3055bdf9f1a76', 'fd73259e7c2801e8', '8e9800f2eef52cf9', 'a269ffcb594a6ef7', 'f73d742233a2f5a4', '5d0df71c937002ef', '1633b78ec0661e10', '0ea6cb5416dfeb41', 'a516469d68eb2932', 'd807cc0cdc241ec3', 'd683f1b0a075297c', '22cbdc156eda0b37']; context = [[0, 68], [26, 97], [112, 174], [141, 204], [58, 129], [43, 96], [159, 202], [39, 84], [103, 165], [6, 56], [0, 50], [8, 72], [4, 45], [17, 74], [1, 57], [33, 78]]; loss = 0.030383 low_pass_filter = 0.300
+Epoch 0: | | 26869/? [4:14:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 26870; scene = ['ad2e98d672dde0e8', '34573dc20956ef12', '54cee7146da8c7ac', 'ec193bda727a0e1b', 'd68c8852175c0721', 'a9319dee9251ebe6', 'f2e6470ad27f495d', 'a3abe0c419b12a6d', 'bad9d8fce9a88d31', '59d453d9a3928400', 'df3eace7286b16ff', '66726f5afdab740e', '0ba513fbd074377d', '650c97a5d26d16fd', '975302d5f959f41c', 'e7f8f1481b01c222']; context = [[93, 157], [12, 71], [2, 53], [70, 130], [67, 113], [183, 242], [56, 104], [43, 93], [59, 115], [99, 146], [12, 78], [18, 73], [8, 48], [98, 149], [10, 70], [20, 77]]; loss = 0.044386 low_pass_filter = 0.300
+Epoch 0: | | 26879/? [4:14:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 26880; scene = ['980925ecd20e9845', '7fed8c3dae1c5e78', '9668707d6167a299', '869ab3af4fd90d3f', 'd44c8063e3cf6035', '18f8fd3136058ed7', '70e481732168c917', '6e0ef4cc3bfcac11', '55e04e9b50ee3cd7', '310940bff3f06d17', 'c8e171e498269ea3', 'c91a840348807d57', 'cfa2450736df61d1', '2ba97c65f2b6b12d', '3d324e5e8a7790b5', 'a7285c6e5c20dfc2']; context = [[16, 77], [4, 69], [19, 58], [5, 73], [21, 90], [61, 130], [6, 76], [105, 163], [87, 139], [182, 225], [23, 92], [13, 57], [4, 75], [173, 215], [9, 78], [8, 63]]; loss = 0.023209 low_pass_filter = 0.300
+Epoch 0: | | 26889/? [4:14:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 26890; scene = ['f2d32d4308aaf828', 'c3774b5bec23a553', '8b950107c02ffaa9', '56ca12de78c49588', 'f5d47cbf373ef48c', '571669c7509ed94a', 'b948ce0680ae4e32', '9eb8e7f262b10c23', 'b79cba09d12f8d24', '73b3baa378bd5c87', '1352e11525407ad0', '637b4d4424886b66', 'c79bcc417194e054', 'ea4d05de31555896', 'd673c1599cd086b4', '7f534ff603a04b87']; context = [[5, 67], [67, 110], [7, 61], [34, 88], [30, 94], [3, 64], [12, 62], [3, 63], [8, 60], [12, 73], [4, 44], [39, 84], [184, 254], [52, 121], [0, 70], [22, 93]]; loss = 0.029908 low_pass_filter = 0.300
+Epoch 0: | | 26899/? [4:15:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 26900; scene = ['45faaf812e4accaa', '3a74cdb34b1b79e1', 'c21ac4985720cb50', 'aa49d6d1892aa62d', '38f263a412fc1696', '0313a1cc48ea7a60', 'd7b1ea6c5fbdb3fa', '9935a6146886dfe6', '93b76b6f5bf0e5ae', '5c214c6cba1c63f2', '181449e704881318', '1cdde81ba9489e2b', '6dd9e3b237e3ebf9', '2f3db5900d69a891', '4252d5a3cbe7a739', '0c629299b723a2f1']; context = [[91, 140], [82, 145], [24, 93], [2, 72], [95, 139], [37, 104], [1, 47], [19, 77], [12, 52], [107, 166], [3, 71], [56, 108], [5, 63], [34, 85], [78, 145], [30, 79]]; loss = 0.024739 low_pass_filter = 0.300
+Epoch 0: | | 26909/? [4:15:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 26910; scene = ['62fba06e80fdc73c', '1fdfacd97bb87f76', '79a8e4b0e9779b55', '9c1b2b03cba7eb75', '97dfb24bde43e1ac', '30ac659e53e1ac13', '1c1bee681c7b0b40', '7d7ccef156277c10', '5b2576a9a8cbb64a', 'a08eb87db37b694a', '5c77004b82dca2ef', 'f8c02e18821b6cd0', 'b54392dde102f10f', '541aa65a8c4f173d', '3cead9b544108806', '8ff5f069510b07d7']; context = [[53, 95], [2, 49], [1, 63], [40, 110], [0, 40], [24, 66], [81, 140], [48, 95], [15, 73], [27, 79], [9, 68], [9, 51], [120, 170], [12, 58], [166, 217], [83, 139]]; loss = 0.031407 low_pass_filter = 0.300
+Epoch 0: | | 26919/? [4:15:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 26920; scene = ['4f222de881e845a3', '552ce58b418c7a7a', 'a2618f8568751d19', '373176367476a8e9', '3138e6593e07b283', 'c900014e1bc50565', '19b940e0418085be', 'dd73a5ab06e9c9e8', 'ed9778c29a8a3b5e', 'feba59e64c85fca6', '78982e707593bbd3', 'c4c33ddbf3b5ba1e', '3239b6416b50eab0', '731bf63b2770c3b0', '8fcec41b125f2f6d', '5b7ab1a8989e1729']; context = [[0, 40], [26, 79], [11, 66], [92, 145], [15, 73], [77, 132], [136, 182], [18, 61], [29, 68], [3, 62], [10, 59], [30, 80], [31, 71], [0, 39], [19, 90], [40, 84]]; loss = 0.025504 low_pass_filter = 0.300
+Epoch 0: | | 26929/? [4:15:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 26930; scene = ['e4f3630e8f2fbc49', '852f7c2aab04ec8a', 'b3b4229128c01334', '0c0750bfa3e590df', '4420547213fa33ef', '0831f0c838e6e563', '44b3e0a57bedb550', '0492d6125268e9ae', '8a175b66a6e0d87f', '4da70bfde0e88229', '5746cbe928536f09', '8f7048d08ee0f451', '88623b0479c2278f', 'd2739b0ce00e63cf', '6920a4f8f496ef7c', '6c0ddd369d85c777']; context = [[154, 213], [99, 168], [0, 69], [26, 83], [47, 107], [12, 68], [1, 45], [36, 96], [36, 93], [207, 246], [122, 188], [200, 244], [6, 76], [5, 55], [23, 93], [5, 69]]; loss = 0.088387 low_pass_filter = 0.300
+Epoch 0: | | 26939/? [4:15:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 26940; scene = ['b100ffbc2f9d79a7', '1e6a2c93047453fe', '738889f8821da74e', 'afbec7cd6de2b2a8', '7e423d9bae58a197', '695e66b2294400dd', 'b368d4cad3a2425b', '0aa5394311539cda', '1b184bed2cb5f598', '022b14e5d8659c23', '32be4bcd35e515ba', '92f98e0761fafa95', '81a073936247e55b', 'a87516f1de2ebff5', 'c7abf32ffa46ffe5', '5ad9adee87278e49']; context = [[47, 98], [69, 138], [5, 49], [65, 135], [22, 89], [22, 71], [7, 57], [51, 113], [58, 115], [21, 67], [213, 273], [87, 130], [1, 55], [66, 128], [219, 259], [8, 62]]; loss = 0.031681 low_pass_filter = 0.300
+Epoch 0: | | 26949/? [4:15:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 26950; scene = ['02d0ad66e1043e20', '4b008f9c4337a48a', 'ffea2c687693b2e0', 'f71c21324705b07f', 'c4958d1efc1da03a', 'f93c284c77d0738a', '4c9b35d3b2045ce0', '0d1b95f947442c42', 'a2e0c4df7f52bd34', 'efc534e54b8a4268', '984343099c800e14', '94ca67412c8d2fdc', 'c456e396e27d58dd', '3ba52d3da225ef63', '25c72ca81e19c388', '07582cf8c8b8ace5']; context = [[68, 119], [74, 130], [11, 81], [5, 74], [46, 106], [39, 105], [30, 93], [9, 77], [156, 208], [18, 75], [16, 56], [15, 58], [30, 86], [18, 84], [162, 221], [96, 166]]; loss = 0.041127 low_pass_filter = 0.300
+Epoch 0: | | 26959/? [4:15:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 26960; scene = ['ca31f5df8294e2ef', '212f736c5bd2cba5', '85e1e791eaaaf4a9', 'bbaf39151b2da748', 'f49334b723f7ee98', '8efaab78c3e2388e', 'baa5664b5ea5348e', '34ba90ddf627908b', '5dd1c7fc822c0b3f', '8611ede4ab1a5aba', '6119beda95f11d2f', 'b1b495944794f97c', 'cefe35d51bec9a7e', '16ae5cc96adfad6c', '60c3751c51aabd74', '957a0d6adafe161f']; context = [[1, 68], [171, 228], [63, 121], [18, 75], [30, 83], [83, 150], [0, 64], [0, 64], [35, 90], [0, 39], [9, 76], [55, 112], [19, 61], [25, 68], [46, 98], [192, 258]]; loss = 0.025417 low_pass_filter = 0.300
+Epoch 0: | | 26969/? [4:15:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 26970; scene = ['4b612eca55fc46fe', '153774d1b308ca71', '8c8903dd71f96459', 'c70e8c5846b50b54', '9c6afc23093a8433', '7e0a4040418d94bb', '3e0232925959536b', '67ece8689909e1d2', 'c175666a466f77e1', '411e56c382ab68bd', '4683fc2de32acba7', 'c30ef91c3a2d1a41', '884301dded89f439', '6936190f2338e455', '079ed48fda2e5b60', 'ce4c27e415863b8a']; context = [[71, 127], [6, 51], [30, 94], [64, 133], [68, 121], [97, 136], [0, 49], [70, 133], [28, 68], [163, 226], [219, 260], [6, 57], [9, 64], [16, 77], [1, 64], [45, 103]]; loss = 0.024067 low_pass_filter = 0.300
+Epoch 0: | | 26979/? [4:15:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 26980; scene = ['4bcba502acc243f0', '7290906ef512f678', '199efe0aa9f2980c', 'e707d9b275957bae', '1faa218ca6499b79', '01e5938d001f9529', '9c72fc8b3eaef351', '427e287379108891', '19dba813c3dc5216', '7ddc7cab16aeca59', '57a2e1f94490e770', 'f7b66cf4efb27146', '378c2fb1b45c30d7', '45dd934cb342509a', 'd1bf37200ec6b9f3', '7064a41c06854720']; context = [[2, 46], [15, 54], [22, 69], [0, 63], [15, 78], [28, 92], [147, 190], [88, 128], [102, 147], [2, 44], [25, 81], [20, 82], [55, 121], [25, 83], [27, 82], [78, 135]]; loss = 0.028303 low_pass_filter = 0.300
+Epoch 0: | | 26989/? [4:15:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 26990; scene = ['8c4188b975dcb7f5', '32050bb188c50d62', 'fb66bb9f72b6434e', '6f109232d9beb036', '33510e5a8e9d598c', '89dbb53fd933d873', '26a01fb0e2976fc4', '930341b45d10af4f', 'd3f9fbcfe7972afc', 'bfadf9a64d247858', '65498b8de03a0b2d', '9b1e8fe75dfee472', 'cc1bcd4f8463b2ee', 'db40e459c8979778', 'b9c0beab80c28377', '9ab83ba6f3dee716']; context = [[101, 155], [32, 98], [9, 61], [30, 75], [42, 85], [8, 56], [22, 63], [6, 66], [3, 73], [60, 116], [14, 59], [54, 99], [68, 118], [60, 126], [1, 48], [2, 70]]; loss = 0.025922 low_pass_filter = 0.300
+Epoch 0: | | 26999/? [4:16:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 27000; scene = ['958aebff5c34c3af', '9ce92300ba034e1b', '69a46538362147d5', '5d627dc0f8bb0ca1', '7ef98d73d599a144', '0d7d967d54714672', '148537ca7721ce60', 'e12794d33944d104', 'c4683228d9e80db9', '4851fa48e250c7a9', '82b3148fbfdcf4ec', '3b1dc593c60e05b1', 'e842229e024ea4b6', '4d3d250d83adc2a8', '61bc8e93d46d612e', 'aea85ab6f7b1ef63']; context = [[13, 53], [131, 201], [179, 243], [44, 101], [1, 62], [130, 174], [0, 55], [12, 57], [81, 120], [36, 84], [32, 85], [144, 208], [44, 83], [0, 51], [47, 87], [14, 69]]; loss = 0.034530 low_pass_filter = 0.300
+Epoch 0: | | 27000/? [4:16:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000validation step 27000; scene = ['f0feab036acd7195']; context = [[4, 70]]
+Epoch 0: | | 27009/? [4:16:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 27010; scene = ['158c7dda2cf0765a', 'ef9f95673c607cfc', '5db1f93559662c33', '1c966db883c0b9f6', 'a950d4448837f574', '142af18c2b5f0145', 'c2c37a6bf0a12e0b', '852f866007866388', 'afad90a8ee12661e', 'f7cbb66b48c9008e', 'bc7f04a3ec906867', '4dd89c9e62c601a2', 'a13f3056e60c07a5', '5258d714dbd81b7a', '8233b3467c6f4f08', '5ab82d98941fd59a']; context = [[11, 79], [20, 67], [22, 84], [64, 123], [1, 41], [92, 156], [114, 174], [23, 85], [9, 49], [6, 54], [7, 59], [1, 65], [201, 271], [13, 63], [22, 62], [177, 221]]; loss = 0.025080 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 27019/? [4:16:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27020; scene = ['1bb131cb68bb3060', '653bb70e9b1ee3c8', '665c734dedef60ee', '53cf0ccf9f3cd287', '4d5fe5ad660cee05', 'ea35f2e87a22cc27', 'd6d953d12d23fdc7', 'a6d4617c65500d60', 'c234202cc8bec9b7', '0eb0406f93082b02', 'c2f4ee94e6aedf42', 'd6f4cf1db5c5d80b', 'c356b5fd63ca4228', 'b9f9d1c6f63799e1', '627e1740aebd42b6', '2005f0e5c1dcf4f3']; context = [[4, 62], [109, 180], [33, 95], [27, 87], [70, 139], [98, 154], [58, 97], [18, 64], [116, 175], [54, 101], [17, 76], [49, 93], [50, 111], [180, 242], [14, 54], [30, 97]]; loss = 0.024481 low_pass_filter = 0.300
+Epoch 0: | | 27029/? [4:16:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 27030; scene = ['c736e2a60be17d47', '310a9fe20c913b7a', '4a15c3236a6ac64e', 'a4a24fb8cecc137a', '2e2c55d69b879020', 'fbae922ad64ca6f1', '4ac2729ea26878fe', '2a9d2b1f2454b39f', 'da593472b1bbbb15', '41962a5fd8fca53a', 'cd3a4584964695bc', 'fe9263e6769a380d', '4e1b2a3897227661', 'fad5878d1b28ad75', '516b59544d9c9086', 'cebe3be57fb380f1']; context = [[12, 73], [4, 50], [149, 213], [11, 68], [17, 68], [32, 84], [147, 193], [172, 224], [0, 64], [35, 106], [173, 229], [146, 194], [24, 72], [110, 150], [0, 39], [41, 92]]; loss = 0.028111 low_pass_filter = 0.300
+Epoch 0: | | 27039/? [4:16:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 27040; scene = ['35f1002ddc4fbebf', '241d717da4a8eb58', '61b1040db43a48aa', '3b1fe6ab1ec38c05', '3fe4e74e7531c300', 'ee8a4c0cc4c523d2', 'a316eb155d7e477c', 'a67229c34e33f896', 'cd6999ab6b9c1038', '759a98733188003f', '4931105c27ccd2b8', 'd3050899f139615e', 'ecac75a36d941d5e', '7cfb911c40da361b', '5e62a890cb5a023a', 'ab36eedface7b474']; context = [[7, 66], [59, 101], [18, 70], [7, 57], [4, 46], [105, 163], [146, 203], [8, 68], [2, 70], [68, 122], [6, 74], [39, 89], [90, 147], [16, 59], [90, 154], [43, 98]]; loss = 0.026744 low_pass_filter = 0.300
+Epoch 0: | | 27049/? [4:16:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 27050; scene = ['6a53118833481290', '401ce8a065750160', '0ddbcb756905070d', '7a33856e537d35ac', 'f6f1f51bc8538b9f', '0313075cd35fde65', '7b1854aa0edd0d17', 'a020feef33132bab', 'de2fae8dc08aade7', 'b21216eb9941c9f1', '445abb7aac42d3b2', '1bc87f3755e5876a', '629e12b1a808926a', '63285420ba79f570', '9005a907bf9a54bc', '36d85b0f38055e14']; context = [[24, 70], [4, 67], [1, 47], [45, 86], [6, 46], [31, 81], [125, 183], [13, 59], [28, 93], [1, 41], [111, 162], [14, 60], [8, 53], [60, 99], [8, 49], [48, 109]]; loss = 0.032718 low_pass_filter = 0.300
+Epoch 0: | | 27059/? [4:16:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 27060; scene = ['2b92e1411ef38e4d', '0ca219e558a9ced6', '77d9893ba17a1330', '1a251dc2dac5cd26', '6f6b3630c1daf8bc', '853afb68eecbe04d', 'db085f4da5bb3a11', 'c1fec197b3a59315', '98b99eb5c3bd9603', '1d08d09515970972', '71d24f4e70b1596e', '6454334af1aaabd9', '849bb6781ce6dd59', 'ea305252e2b18017', 'b2a34524405f79ff', '9bb10fc846b3d2b1']; context = [[3, 42], [33, 89], [34, 96], [17, 67], [4, 63], [87, 142], [6, 46], [0, 39], [12, 60], [5, 63], [203, 271], [91, 152], [42, 94], [43, 98], [162, 218], [45, 109]]; loss = 0.021329 low_pass_filter = 0.300
+Epoch 0: | | 27069/? [4:16:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 27070; scene = ['52bc94dadc901275', 'e1b188d7ddb28f38', 'e4adc1ffcb9575c8', 'ae4c65fb1d8619d5', '38a370f974e32a78', 'c5dfde6b20759428', 'aebd9e8e84ef857f', '2cd51577bfc59199', 'dc8c9c29844a8b88', '6ba5219cfc2dcf6a', '15f2988fc979f6ff', '8db7e7f866453215', 'c84aeac3da716986', '944ae6c07bd328d6', '97f5b0df30fe5b41', 'e85713019ff14680']; context = [[3, 48], [62, 107], [30, 89], [23, 94], [1, 61], [3, 45], [56, 95], [33, 76], [0, 67], [3, 66], [0, 70], [14, 54], [62, 129], [25, 76], [53, 120], [113, 168]]; loss = 0.031232 low_pass_filter = 0.300
+Epoch 0: | | 27079/? [4:16:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 27080; scene = ['af8138fd057cb9ba', '3f27e74e06018bdd', '10dbf6c5afec6956', 'c0a547f524acd02d', '58a0cb2ee7df863b', 'cc288185b68c36f2', 'd88d6ade2d6d5b5c', '4bec534ca04e2591', '751100d120de2bc0', 'e8d8e1018d018035', 'ae1cb8963eef8971', '12ca2a23442e0504', '477f09d02b88d731', '81ef566049bf9197', '3626f78e7e99839c', '055d059074817213']; context = [[23, 62], [54, 125], [1, 70], [101, 165], [36, 86], [4, 68], [92, 133], [46, 105], [4, 71], [12, 72], [21, 70], [19, 70], [22, 93], [117, 180], [7, 72], [14, 63]]; loss = 0.025357 low_pass_filter = 0.300
+Epoch 0: | | 27089/? [4:16:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 27090; scene = ['6dd5bd6445ada623', '0339818f120ea7ab', '8c2000c91596ea0d', '5be8385a860cd167', '282c3c958edab940', '8f5e074629cedd06', '21d88b442db5f97f', '3738997e842ffe36', '2cec44c7d50cb057', 'a2ae856e2faf3097', '4eb73e73ca77fb11', 'a51764791263987b', 'eff98653337775a8', 'a3214062cd1950df', 'bf4e0656a420aa9d', '5eca48d9febf5e70']; context = [[7, 77], [11, 66], [120, 159], [78, 117], [1, 40], [15, 62], [1, 66], [23, 78], [7, 62], [0, 39], [40, 92], [2, 51], [106, 154], [150, 197], [4, 69], [9, 48]]; loss = 0.026307 low_pass_filter = 0.300
+Epoch 0: | | 27099/? [4:16:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 27100; scene = ['122fffc5bb0099f7', '36cba4fb28af5f41', '7e5067f243e163c2', '9ce71811d7ef9514', '3cd8c5f222a29e8c', 'a65f2600585e4c08', '4a87c4d3b16e0e4c', '03ede33559dd7c37', '29e050fdb8e9c055', 'b39aa70a6f60cebf', '76780f3faa6948a6', 'df3d24a554846107', '5958daa0530a7150', '5f64d96ba85989e5', 'a0d754b3444c1387', 'fdaef267e08ef3aa']; context = [[34, 86], [28, 91], [43, 96], [91, 136], [3, 45], [50, 119], [24, 80], [4, 61], [57, 103], [38, 79], [23, 68], [17, 56], [14, 79], [15, 76], [3, 42], [188, 246]]; loss = 0.024545 low_pass_filter = 0.300
+Epoch 0: | | 27109/? [4:17:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 27110; scene = ['d36fc8d3f149522a', 'a97eef4d4e9f345e', '9f655edf6923e6cf', '8c311d826f923a77', '9cf046728c3db4b0', '8096cd3a05638ced', '50f863411c708475', '89905d291f2f7596', 'a15a553c9850b44c', 'e8ca4b0be06b0c74', '302211facdaf64c0', '8fcae49975dab026', '547aef61289e7ad7', '06328d0d5cccc46b', '03781fa53fd2620f', '75ac86500993ad2a']; context = [[13, 78], [0, 39], [23, 69], [45, 90], [1, 50], [133, 181], [0, 46], [0, 49], [11, 61], [60, 112], [6, 69], [8, 59], [3, 44], [39, 83], [126, 186], [43, 87]]; loss = 0.032706 low_pass_filter = 0.300
+Epoch 0: | | 27119/? [4:17:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 27120; scene = ['39d7d08e52c00f81', '7dd499cd4bd4ec59', '222acb29d1b3c2aa', 'db9435d8cfadb24e', '977eb4604758bcd7', '6149aade1b7de1c8', '00a87dd567cdc292', '9749a18e36b8b4ca', '977e456b8e36321a', '6d1a7f2061758a7f', 'ac56fc9d958777ec', '7326aa4935d38c48', '0bb14b8b474c9eba', 'df6c10f80caca76b', '7eb30b2520ec249b', 'da3d7abde96586ee']; context = [[116, 167], [0, 40], [0, 39], [171, 228], [112, 164], [2, 53], [24, 79], [41, 97], [73, 121], [9, 51], [92, 146], [50, 98], [74, 135], [29, 73], [12, 59], [9, 70]]; loss = 0.024419 low_pass_filter = 0.300
+Epoch 0: | | 27129/? [4:17:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 27130; scene = ['f31541473a1526ee', '91569ae4b2a46efa', '07c292c4e24e752f', 'cdad2b86094189ce', '6859d00d1fc05309', '9364344ee7f3c7e0', 'fe76916bbbcc9bfd', '0c9bb46be874cb45', '2cd0fca69890c724', 'a0a1ff4fa47cfc1e', 'd1053e2e2fb43380', 'ef294337f32250ff', '7cfac1c5c75d8cb2', '82601096ac275780', 'c4064076b7e5e42b', '8a357be8b7d049e1']; context = [[45, 105], [3, 49], [31, 95], [36, 91], [9, 48], [38, 101], [6, 77], [180, 229], [4, 68], [9, 61], [30, 76], [103, 147], [26, 66], [68, 122], [199, 249], [3, 56]]; loss = 0.026877 low_pass_filter = 0.300
+Epoch 0: | | 27139/? [4:17:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 27140; scene = ['faba273f0a3debc6', '565d85abf1302908', 'ee80a8b9b2f8246f', 'e54b1e990bc7b662', '5fb223627a096342', 'b1a6d0b3474187c0', 'e939bcbb98acc5a7', '701a83709009e202', 'e08bed0014d3fc22', 'd8a96058b9a6eb1e', '27f65dfe1a368d7b', 'dee32526a5ea279e', '0fc1880ce9953772', '894fa42de50a917d', '45f8438cecfb6cae', 'f1503dd693e4afe0']; context = [[84, 137], [51, 109], [15, 54], [1, 69], [9, 79], [97, 154], [7, 73], [23, 77], [7, 71], [60, 107], [52, 93], [191, 257], [13, 68], [14, 72], [1, 54], [38, 96]]; loss = 0.023034 low_pass_filter = 0.300
+Epoch 0: | | 27149/? [4:17:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 27150; scene = ['a57b68e727904b76', '64cc6af0c7229fb1', '7c8c185289523ea9', '026392b9abf82eb3', 'da3a7d1f910a33c0', 'db4676b09d10dbd5', '52a4f713b01a5a58', '430570672f036840', '3f73de068d60f46c', '4067dc3e53c02908', 'c2867dde9ccb0b7a', '21a23abebca8c840', '4e4199248d302a7d', 'ae8188346d8f99ac', 'c647b5c9b5ff2e0c', '2ac22d87de85c86f']; context = [[109, 173], [147, 189], [162, 220], [12, 63], [69, 130], [5, 77], [32, 71], [58, 122], [2, 68], [29, 89], [5, 58], [2, 48], [112, 178], [6, 67], [28, 80], [60, 130]]; loss = 0.029324 low_pass_filter = 0.300
+Epoch 0: | | 27159/? [4:17:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000train step 27160; scene = ['be3bf9362857bffe', '605455dc5f1561a3', '433f5fa510755d52', '56341c49ed4564be', '807743b71b28c82d', '3fbcb0eef93e818f', 'e814b7a50ef25565', '42dea626cd0ca095', '57e607bc8cd5d233', '52914ada3d21bb9a', '211ba20868a52208', '22dd0c673b90e0f0', '7dc2da97423f053d', 'e280e5d4cd514531', '9f0cb34a36fc4260', '3d74489372089c48']; context = [[58, 124], [4, 51], [133, 200], [0, 61], [13, 71], [22, 76], [56, 102], [5, 76], [105, 150], [109, 159], [61, 116], [17, 69], [110, 158], [34, 84], [41, 112], [0, 47]]; loss = 0.029575 low_pass_filter = 0.300
+Epoch 0: | | 27169/? [4:17:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 27170; scene = ['f4f4b50a47089b2e', 'a493fb48c96ca433', '2fddf9fba77c95d2', '614707884d4d8849', 'd9031a7327efd918', '16a544b331e1e121', '93ce0415d2ec4cfd', '2d56b7640c2b4e85', '7c8a7d277da9630f', '55bc2a5f8dd8c274', '14d6407edcc83d44', 'af4dff7016287971', '56d7cd5d57583f2e', '18418d639d03531c', 'c7875783d4ebacb7', '557f8c7222f4094f']; context = [[41, 94], [1, 68], [15, 70], [1, 47], [85, 139], [14, 83], [4, 74], [22, 66], [6, 46], [111, 170], [18, 81], [36, 107], [48, 109], [5, 45], [12, 76], [17, 80]]; loss = 0.022895 low_pass_filter = 0.300
+Epoch 0: | | 27179/? [4:17:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 27180; scene = ['87bcd8ec1a54ec5b', '0d769b8f95716ff4', 'bea7a7d7bc99d87f', 'cd758d9a770e3004', '2075f9a34df7009f', '506c3c6a37df296b', '111edff73abfa215', 'b333ae137d9b364d', 'a04482e878287d98', '35c3896f8118d911', 'a112490f76c588e1', 'b1a8168a3cb58d78', 'cbc5079a5e106cf9', '8da49a4df37d64c4', 'd140ca9a916f2329', '99df0e9790c603ff']; context = [[74, 113], [2, 60], [27, 97], [15, 54], [0, 43], [159, 198], [22, 80], [79, 143], [0, 71], [27, 96], [50, 113], [202, 261], [87, 152], [0, 40], [95, 146], [23, 83]]; loss = 0.028238 low_pass_filter = 0.300
+Epoch 0: | | 27189/? [4:17:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 27190; scene = ['49d7417d2f74b2e2', '46fde3a67644e92a', '7af65f2a557b7cfc', 'ca842b977ede6e8e', 'e9b3ee54d1ed8bf3', '34654b2aef02b36f', '8f95aaecd30bfe17', '5d94f429452c77ae', '88d99c13c9aa2879', '59ff46a8991109e1', 'e8556bce269486a4', '53fe362fe9f15a4a', '30824b5a1ad95949', '09601fe247d7afd1', '9696185e462423f4', '2e4d2ff0e9928563']; context = [[6, 51], [3, 47], [15, 70], [2, 64], [3, 49], [10, 55], [0, 46], [3, 50], [35, 75], [53, 93], [5, 71], [74, 146], [3, 72], [144, 190], [71, 138], [0, 41]]; loss = 0.021077 low_pass_filter = 0.300
+Epoch 0: | | 27199/? [4:17:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 27200; scene = ['5ac0f0232a8d4efc', 'd692e48036144709', '91d197f925891f41', 'c3914b367617df25', '751c329e576944d8', 'a8cfb2062202dee3', 'f775386efb45738a', '585b9da654b196e0', '2c38ebf17747a14e', '2b787547ea496776', 'dfe3cbe9ca43aea3', 'a48622051ee5dad1', 'c9ba8f17c6191867', '9a65de132ab2fff1', 'c21a51e62f022171', '654a4ef182f4e8ae']; context = [[0, 42], [37, 84], [41, 104], [8, 56], [30, 79], [39, 101], [19, 63], [50, 111], [22, 70], [19, 88], [95, 146], [26, 83], [122, 176], [58, 130], [29, 70], [37, 89]]; loss = 0.024188 low_pass_filter = 0.300
+Epoch 0: | | 27209/? [4:18:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 27210; scene = ['e0e5ca65d06c4aa2', '7bbc16f55a96e465', 'b047dc9789779470', 'dff73d748dda6d8c', 'aefcd43f036bb40f', '12ca4e4975bb2a9c', '1da214534aec3dbf', '8a02d21e625be4ee', 'd9fb64a51b499e43', 'b0c1009eeb7b447f', '91c1cbefd5264370', 'e27fc0761ea5e6b1', '25dbe5782e6c3cee', '2d9b94de9466e734', '777b15ad5ae49dd3', '91dfac692f342ede']; context = [[15, 69], [9, 56], [19, 67], [169, 233], [13, 80], [26, 65], [1, 60], [58, 125], [3, 55], [38, 87], [8, 72], [144, 205], [1, 57], [1, 41], [24, 91], [86, 132]]; loss = 0.033339 low_pass_filter = 0.300
+Epoch 0: | | 27219/? [4:18:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 27220; scene = ['5d709e068e3236cc', 'a864af7ee1e31eb0', 'f281ad937282c080', 'd481fa99ea0ed419', '708f9f5df8fc6ed0', 'f0ebdc3c38328266', '52103ab252c706ce', '871fef035e6b93dd', 'c90ec67347b8e528', '3e702c442a66299e', '1894f05fbefb5abe', 'c987b733564bd36a', '67e392299d5e2fa3', 'a72388bebe09a36d', '2d9d126633e09772', '5d30b873b1035b91']; context = [[13, 79], [178, 225], [155, 221], [93, 146], [14, 54], [3, 60], [59, 124], [41, 94], [11, 82], [27, 89], [70, 112], [18, 81], [8, 71], [32, 82], [29, 101], [50, 106]]; loss = 0.023739 low_pass_filter = 0.300
+Epoch 0: | | 27229/? [4:18:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 27230; scene = ['8dc02ad9f06c82b6', '9a3449c857ad8d2e', '23f38236666f61c8', '01b1548c7d661213', '3b77ec0fcfd8373a', 'b101b30ff1f24357', 'fc02bddd09583f6f', '9846c25ea4dc9cd1', '52756823f87254c1', 'b63f74a469ec8316', '377491fa91a751b3', 'ea1af0f111f0dec9', '4993ae15d091d631', '40b14e9ca06271a0', '9c500c3d949c224e', '4b7a85a5ae42aa8a']; context = [[4, 61], [24, 70], [24, 96], [38, 102], [16, 63], [4, 50], [57, 103], [43, 101], [19, 65], [119, 188], [8, 66], [13, 63], [4, 66], [29, 83], [9, 51], [5, 58]]; loss = 0.028107 low_pass_filter = 0.300
+Epoch 0: | | 27239/? [4:18:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 27240; scene = ['814b717a61c0f68a', 'c0b86b59d18f6879', '0882ca13b9d93357', 'd9196f78b7157f71', 'ec9a56125230d207', '9d91f476e8dbb383', 'c73acf609000773a', 'b6b6067feecfb5d3', '7cce97f1221bfc12', 'd58c75a57b01e304', '61b778394cbb87b8', '9566439bffee627d', '09d261f196740983', 'c53e7a6ec946c9c2', 'af0e326ad5e575b9', '85cde1a5051d2e37']; context = [[67, 107], [153, 204], [142, 204], [69, 124], [2, 54], [60, 103], [4, 48], [115, 180], [6, 59], [178, 241], [68, 108], [56, 102], [2, 67], [43, 87], [32, 102], [32, 97]]; loss = 0.090493 low_pass_filter = 0.300
+Epoch 0: | | 27249/? [4:18:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 27250; scene = ['008565fd84fac8bc', 'a4540429f3ab7b34', '1cc6d70643937efc', 'b44a9831f5c9346a', 'f5fd2d3dc5eda234', '70c3f63e49f0a60e', '5c04e1bb3d57c7e2', '419e0277df79188e', '4dce2f5cdfb61209', '73a4c98b9e149ef2', 'd33a702220f9c643', '0d7da46def0b4cc3', '986f645284094c16', 'c6d42b8762adadbb', 'be7fa9414da75873', '7680be94e005fde6']; context = [[23, 81], [13, 83], [2, 44], [36, 92], [40, 80], [25, 88], [16, 79], [122, 165], [16, 61], [7, 78], [10, 49], [11, 53], [13, 70], [26, 76], [57, 114], [196, 255]]; loss = 0.027525 low_pass_filter = 0.300
+Epoch 0: | | 27259/? [4:18:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27260; scene = ['af989050871d3063', '82727d8f1a3947df', '9af2565a661129f6', 'f0a29e4c71927073', 'ea0d305c9f4bfbc3', 'c8095ae968917c3d', '67b3a3c355535c14', '5b39d198ee235761', '0c60d54f1b0d4939', '7cd75d95c7716b76', 'f4b964978146e11d', 'f545f3fe4f5a0144', '3b7cb1e5988f8818', '4e8f6edc35cfae7e', 'cbaee3140040b235', '4dab828d09c1dc9a']; context = [[17, 79], [50, 93], [0, 67], [27, 97], [33, 86], [85, 135], [148, 204], [69, 136], [1, 63], [10, 53], [47, 113], [1, 41], [0, 46], [12, 79], [8, 53], [95, 166]]; loss = 0.031462 low_pass_filter = 0.300
+Epoch 0: | | 27269/? [4:18:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 27270; scene = ['d2daf9db087843b4', '557c4d3950b294f9', '7c9f6f07c626b097', 'ce839951021a9e6a', '7c0b9b27b0221a06', '0542dc34079ab46b', 'd7d21836042ec476', '50fe95437cbf8ff2', 'bbf2783a7ab10d31', '1d09d68c42cd89c7', '69d48147d336abd9', '3e30604f4534a8fb', '61b47f4bc7d7d615', 'ce83b2cb583c5746', 'eb0d89c323b8848b', 'f7f3359cd5a72d36']; context = [[10, 76], [33, 101], [13, 84], [0, 53], [16, 76], [3, 69], [0, 39], [38, 93], [27, 88], [62, 131], [11, 78], [14, 71], [16, 75], [1, 57], [48, 116], [33, 87]]; loss = 0.027271 low_pass_filter = 0.300
+Epoch 0: | | 27279/? [4:18:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 27280; scene = ['d1749b42c2b6082d', '920b80196dc8b79a', 'e8c5fdad60e58a8f', '1bb36d50ab9fd353', '2ba6db31b81feaf0', '71de6eb329cc96bd', 'bbdb60e0097e9ced', 'b373737df3e74477', '9aad28b8c911c8e4', '554eb9150ea16515', '95b37383d90fba88', '5dab5955ca910d26', '3d896caec571f0c5', '9d5a8743f862007b', 'f2a043c2bf7dd45e', '08db89a1f93cb339']; context = [[80, 149], [0, 48], [3, 71], [5, 48], [139, 183], [9, 53], [14, 78], [10, 53], [50, 95], [69, 124], [47, 117], [32, 72], [12, 84], [4, 57], [14, 70], [139, 196]]; loss = 0.027904 low_pass_filter = 0.300
+Epoch 0: | | 27289/? [4:18:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27290; scene = ['62f6164b50b1ae15', '4d412ba977218397', 'f0da9b9f8786b0c1', '145a729ed377068e', '630027801891d158', '5193a7aee466495c', '6b2d6d1f7647ee93', 'ffef52d59b658cc5', 'a6d4f5be85158b87', '6a13585caa18b99d', '8468c4228e3215ed', '3b601d4d89307614', 'd3e19b0747269427', '540656c16216364d', '3d11abcfd05f507c', '76bedcb696ccbc7a']; context = [[31, 76], [99, 169], [44, 94], [16, 64], [25, 76], [16, 69], [18, 59], [1, 68], [4, 58], [8, 56], [43, 88], [9, 73], [44, 89], [58, 113], [97, 157], [6, 69]]; loss = 0.029788 low_pass_filter = 0.300
+Epoch 0: | | 27299/? [4:18:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 27300; scene = ['c6b450dd4f8260d6', 'c296bc064bf57103', '0dbd02c398ed09be', '8941f8b586e324bb', '078cf7bcdd1e6b98', 'b9898a02ddca3bdc', '08c27044b75f9d07', '47c6e528ab8a99b9', '796edf2c7d66e362', '9a55eb0408491b0d', 'e79688995a05442e', 'ff3f8f09832218b0', '3840c776490b3c9e', '3a816121b5cb580a', '8cf667556a483c0d', '797dcddca16ff818']; context = [[37, 95], [209, 250], [73, 138], [161, 223], [58, 126], [2, 59], [35, 80], [20, 79], [5, 74], [59, 126], [73, 129], [13, 57], [181, 248], [11, 69], [1, 68], [46, 86]]; loss = 0.022795 low_pass_filter = 0.300
+Epoch 0: | | 27309/? [4:18:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 27310; scene = ['9ac86842800aa7b8', '752e61228b378e7d', '2536108e699d5da7', '8300c87d5c58fcb0', '376fb262be62f5f0', 'c4836e907672efff', '91599919681fac69', '896854a5d7c5179b', '40c5311e3b3accef', '4277d8783b6a046a', 'a01c907f0070d11d', '9af7c151a7ca6d00', '8ccc670b427d277a', 'a134112256d679ba', 'ea334cb643e07603', '3aba94892a572bda']; context = [[80, 142], [0, 46], [25, 67], [44, 101], [4, 68], [52, 111], [126, 177], [7, 56], [78, 143], [37, 88], [14, 66], [52, 109], [162, 212], [82, 144], [0, 55], [15, 65]]; loss = 0.030692 low_pass_filter = 0.300
+Epoch 0: | | 27319/? [4:19:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 27320; scene = ['a56410296c4762f7', 'b02ef5b5da0abc6e', 'f1f9332cd7100f77', 'cffe7db0efc86b6a', '024713d50b2ab06b', 'd353f6546d670569', 'e61532beb3fa8b63', '7f84033b9d1f6a5d', '832038b00ae58f1c', '5d5ed476cfeed088', '9e3c241e9f50165d', '4bc0f7093a371680', '422b9464cd719365', 'a42aaf066c5ff709', '53a37a07c364e341', '1c557fb150cac743']; context = [[37, 76], [119, 158], [53, 103], [47, 100], [16, 69], [4, 68], [16, 56], [11, 64], [15, 84], [76, 128], [18, 75], [124, 165], [12, 79], [113, 177], [0, 68], [20, 78]]; loss = 0.024611 low_pass_filter = 0.300
+Epoch 0: | | 27329/? [4:19:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 27330; scene = ['812e006c97d55f65', '78718ab636cea9a2', '6297d2e2430c2951', 'e9eecd2f4af1e41a', '96f428c26a493886', '245007bd10b2a438', '0880e957b3055732', 'd8c6ae0c604d9622', 'e0540e2d6160e242', '49a3f7ae3a565531', 'a8618ce38df99d23', '7af3ae39bafa42ca', 'fdea8b88ee5b83c0', 'de24e08882c2f2a1', '7c25281ed9129369', '0021e3be0043c3b3']; context = [[178, 239], [0, 51], [189, 240], [42, 81], [23, 78], [43, 112], [98, 164], [7, 49], [0, 49], [53, 116], [5, 59], [17, 75], [44, 100], [53, 115], [111, 154], [8, 59]]; loss = 0.028460 low_pass_filter = 0.300
+Epoch 0: | | 27339/? [4:19:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27340; scene = ['597a7b1d1a1db7e5', '8ec42c5dfea6823b', 'd542ff37459bd8a1', '64db7512182c3f7e', 'e85458f034fd2a07', '06a98db04d55c991', '7c2e562c6df590a0', 'c702d7ac1f3eb359', 'b1cb82b0ad9e50c9', 'c75f2ccd789133d3', '9c34287c66be9375', 'a273c53ccc48f262', '29c79f791d50eb63', '1918093c072f7cdd', 'e7fec1ee1cf98b16', '8463e86cf267681b']; context = [[146, 196], [5, 68], [151, 223], [83, 148], [99, 143], [24, 96], [38, 104], [1, 48], [47, 87], [16, 57], [47, 103], [73, 133], [9, 64], [9, 68], [8, 50], [54, 99]]; loss = 0.023623 low_pass_filter = 0.300
+Epoch 0: | | 27349/? [4:19:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 27350; scene = ['c6252c821a5310db', '6fc575ee0d5ba914', 'ff4177c802659351', '96c6e2db1b6b3961', '03575bf8316084e9', 'be525cda9f20912b', '0a5d9bd1a512c498', 'd432223d014b318d', '313d67b805705572', '39e99101dae5b664', 'e2f199d364a2dd73', '07bc9cea7e787460', '217c6e278b7b4b91', 'bf1b3df661689e32', '01e5207480d75225', 'd0c0d5fc515e76ae']; context = [[0, 55], [0, 56], [130, 169], [218, 273], [0, 44], [13, 71], [159, 223], [4, 43], [11, 55], [26, 86], [11, 60], [18, 63], [1, 48], [10, 73], [23, 86], [141, 208]]; loss = 0.041991 low_pass_filter = 0.300
+Epoch 0: | | 27359/? [4:19:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 27360; scene = ['fd367e423c5ec1e6', 'f74d512df8806cc1', '152fdd4a1d573eac', 'f6002d27b4940f4b', 'e579edd7cd33c20f', '8d240b118357cf8f', 'f760a303e59652b9', '83f57bcd5d9121f6', 'e0f9634ac743f6e8', 'dd4916f348c17aa0', 'b38f933773a331bf', 'ce284b41bc2d6abb', '8411baa1ad3a5c6f', 'f6c2ec175de3468d', 'edb0f2f1872ff393', '912d4cd827238ee3']; context = [[116, 172], [200, 242], [27, 67], [65, 108], [0, 48], [15, 71], [43, 103], [146, 194], [54, 95], [0, 40], [44, 96], [2, 72], [70, 137], [1, 59], [28, 98], [2, 41]]; loss = 0.035575 low_pass_filter = 0.300
+Epoch 0: | | 27369/? [4:19:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27370; scene = ['21ab0d9d871753dc', '27e6dbcd1a32e569', '0314dd90dba7025d', 'e36b193b3e2dd16d', 'd386559a465dea9c', '023e2a0f45dc49e0', '31d2fb92e2a0ca93', '1668fcfb8bedeccb', '489cfbe5474c746b', '08f3bdfcb2b56aa8', 'e1f3e3802c9359e0', 'bc40dbe2f1331028', '3e88f9a82a1c873e', 'd2f6106c79c3c290', 'c0ccc114b35102ed', '0dd90b85c14d14dc']; context = [[16, 69], [14, 85], [6, 64], [6, 70], [60, 120], [130, 197], [2, 52], [21, 82], [48, 93], [31, 80], [1, 67], [1, 44], [9, 51], [189, 254], [38, 97], [2, 56]]; loss = 0.030481 low_pass_filter = 0.300
+Epoch 0: | | 27379/? [4:19:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 27380; scene = ['079e270123c80df2', '335986becc65b59a', '11730d25b6f6361b', '97b534cebf6de9ec', '1e16c3f44fb40c63', '0841dc352b358629', '6f29d2f4950be336', 'de40426a00dab49a', '6b636cd3f339790b', 'bfaf7588ae5507eb', '316f04cd97503684', '9308b0309e860d89', '804c26118696da0b', '6b4aa6e3b092e947', 'f4ea66b72953198c', 'da2a7bb7a32a94df']; context = [[141, 200], [2, 55], [120, 163], [4, 58], [0, 48], [66, 127], [80, 136], [25, 75], [16, 59], [13, 64], [39, 107], [15, 68], [39, 99], [20, 70], [75, 145], [115, 186]]; loss = 0.029177 low_pass_filter = 0.300
+Epoch 0: | | 27389/? [4:19:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 27390; scene = ['0014287f39e4686f', '428e4ff3c5e3fa30', '4ba68e7e512007f9', 'c945876f6f1aa410', '2a85d99ac9390dff', 'c8425a24b08f015a', 'ac969b1d59f92c91', '687cfd708e3b42dd', '9320c5717e2bf1ea', '1a7bbd0bd3e7c3cc', '47608d00f89f6b00', '2d38cbb82e3fb1d3', '4f7038c3257a081b', '6a0f9bf1977e6af3', '7c1434aba45e0e87', 'a30cd3bcc7d000ff']; context = [[194, 243], [141, 190], [39, 99], [66, 131], [197, 269], [35, 104], [36, 94], [54, 105], [17, 57], [51, 96], [123, 165], [52, 104], [160, 223], [4, 50], [28, 68], [71, 126]]; loss = 0.037052 low_pass_filter = 0.300
+Epoch 0: | | 27399/? [4:19:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 27400; scene = ['798682f477023581', 'c3544b3381a888b7', '935a90bf15b8c7cd', '7125ae35464adb5a', 'a6ac9a6cc22cef98', '81df966eea295ac0', '5aaf9100d34579e6', 'bffbd3c67735eeef', 'a9caf4fcb2bca405', '6b990b7b7e1842d9', 'a42751218de3c92c', '875839ca4b0de009', 'cdadb3960ffc1de8', '5dee435a268fbf38', 'da9ad3d0fc78bf78', '88901f973fdc0784']; context = [[69, 114], [214, 253], [117, 166], [6, 46], [9, 79], [163, 213], [6, 58], [43, 109], [41, 83], [3, 44], [18, 65], [25, 94], [138, 197], [19, 71], [61, 131], [63, 109]]; loss = 0.027390 low_pass_filter = 0.300
+Epoch 0: | | 27409/? [4:19:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 27410; scene = ['50f5f0c69d553bb4', '0d036f88d76b0d2d', '045934369f1fc08d', 'b2dd9639336d0fd6', '493ff377d55d79fd', '2051fd8a3c639b9e', '86270bfca57f93f8', 'e5884780d0c4b903', 'ee93d0c6e61bb08d', '8c118dc21586b065', '013c0dd9d0f20a96', '2bf91de5cd028c93', 'c6ebf1a0acc6844d', '4b6cbf1f4c87d918', '9b4d466924c40d8b', 'c96068ac4bae306c']; context = [[91, 162], [189, 243], [33, 82], [60, 125], [0, 44], [33, 76], [6, 71], [39, 92], [168, 229], [45, 84], [37, 98], [7, 61], [117, 175], [58, 103], [60, 110], [6, 65]]; loss = 0.027409 low_pass_filter = 0.300
+Epoch 0: | | 27419/? [4:19:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 27420; scene = ['d8d663fa411e9d83', '1d98f8f51eeb0b35', 'b13c91ea8f5f8796', '3c26cfffc84d7f05', 'e87ed64351c110e6', '3cf4f7cef3d2003f', 'afae3a1f503aa2a6', '669f7951fd537e6d', 'bb8bf48bcdc83535', 'c877179754961e27', 'd194a6dd4069b4d3', '2accbb1980db8ef4', '173c27d1504d0119', 'e2d712ee16647b25', 'ab6e0144715e79c6', 'a43a86754796ef26']; context = [[16, 58], [37, 91], [2, 48], [50, 111], [19, 71], [37, 85], [19, 59], [41, 113], [22, 63], [18, 65], [0, 41], [43, 94], [3, 62], [61, 101], [4, 66], [134, 203]]; loss = 0.024786 low_pass_filter = 0.300
+Epoch 0: | | 27429/? [4:20:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27430; scene = ['0c097b18870797b5', 'f8c179a0d6a215d6', '42a56723df581f2b', 'b887ad2fba113b46', '5ba48fe9cd340bbc', 'c781e8cdd6dcd9db', 'd516f4060df38c96', '9a539a8e149d73fe', 'f2c3c7f148852db3', 'c81e8fa280a42d5a', 'cd742360e61d786c', '063c449435fb28bd', '64c6dd8bf902c67a', '1387814bb50733f1', 'a2d7daabb93414a2', '00821987dfce6103']; context = [[60, 125], [22, 91], [33, 80], [22, 93], [135, 197], [10, 64], [30, 76], [50, 96], [52, 116], [45, 94], [7, 71], [15, 68], [79, 142], [207, 258], [68, 124], [53, 121]]; loss = 0.034795 low_pass_filter = 0.300
+Epoch 0: | | 27439/? [4:20:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 27440; scene = ['5b2278c4da769f90', 'ea65e9d79b43d884', 'a62b93604c9ba98d', '19e7498b055cd18a', '7a3ff212e5abac35', '456868d1c5435e89', 'ef20b49b3d0869c0', 'c29e55d96017bcc1', 'e713ee11cda7ecd7', '8811a6753f66c635', '70c5a81e8b7868cc', '4585f80cef08baaa', '5521185b98e972d0', 'c6e7b39d2ebedbdb', 'd3784c9108c25d42', '54c8e9c778b2fad8']; context = [[79, 144], [158, 221], [33, 90], [37, 91], [34, 96], [8, 64], [160, 199], [196, 257], [41, 87], [20, 72], [90, 131], [1, 50], [63, 119], [30, 73], [175, 227], [25, 69]]; loss = 0.024854 low_pass_filter = 0.300
+Epoch 0: | | 27449/? [4:20:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 27450; scene = ['9a70317122187ca4', '75e78d3a345b7e23', '97e4cb1ace3d2389', 'b70def164b856c89', 'f91b9393b23e69ff', 'a21c7fc61430286a', 'ea4fd7cc97844f81', 'ce3d2d997aad9619', '857cbbf6876e2bf3', 'b2d8fc68e6b91731', '8baf73d4c62c234f', '53d67e0708030be3', '7180ff013e6035c1', 'd85bf23db2a97502', '100fdf7a7ea656e5', '3ca07375c57023fd']; context = [[2, 71], [94, 148], [1, 51], [38, 91], [22, 89], [12, 83], [111, 174], [22, 84], [10, 57], [12, 82], [10, 71], [15, 83], [58, 127], [65, 107], [1, 60], [0, 53]]; loss = 0.029985 low_pass_filter = 0.300
+Epoch 0: | | 27459/? [4:20:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000train step 27460; scene = ['68d25ae85d2f5cae', 'ac85da0c05c229e4', 'd61b2ffb090ab82e', '42e4f2d3c3e0772f', '352b202e22235f10', '44a584948320b074', '738543a84b2b0667', '2d6daea339faff88', 'e701cbe6c42dc34f', '1d6aa51d46f809e7', 'a3e33263e5faa97a', '3ff13c65e13f2cf8', '4f5a5e96fcc9724c', '3a2586efc4d0cbd8', '0e93d5a7e5dd9498', 'a61570f0477c3db0']; context = [[29, 101], [37, 88], [156, 198], [106, 166], [35, 74], [0, 72], [37, 90], [6, 46], [4, 69], [3, 68], [11, 68], [153, 224], [51, 123], [18, 68], [11, 51], [17, 61]]; loss = 0.024440 low_pass_filter = 0.300
+Epoch 0: | | 27469/? [4:20:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27470; scene = ['e8148e6b8d2d270b', '9fc3f091cf4f8bd2', 'ce29cb3a552da119', 'f3fc106a7bbe2155', '74cbb85d64c53325', '5fce462dcd2dd40b', '6b2d9a2c36445976', '975359237122878f', '334d350f328f0f16', '24a2b811d49d576e', '2b5a333d84c3b569', 'b2ef256ba056dc78', 'b1f6069c3adc2edc', '5230034fddfd04b1', '4ca81426357081a3', 'b9e116b141210ec3']; context = [[53, 103], [104, 175], [75, 138], [32, 76], [16, 82], [39, 91], [2, 59], [3, 70], [45, 109], [20, 69], [8, 61], [28, 67], [46, 111], [1, 41], [92, 158], [78, 131]]; loss = 0.025125 low_pass_filter = 0.300
+Epoch 0: | | 27479/? [4:20:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 27480; scene = ['8ebbf8173feadc66', '6111cc7ea1cba4c9', '8449ce38df1d5159', '5b18716a0a11c1b3', '2bc233194c717b24', '103ff72c7bde3074', '5daf60c2889a7f27', '2beac37f687333f5', '19f6678bdf05a160', '388f3f84cae62fff', 'eb6059040fefa2cf', '4e9d22f52c911e0e', 'cc9379471477aa68', '1f8af6d19b8dfcbc', '481b7b29b87bf543', 'dd16d8d3c1f7cafe']; context = [[59, 104], [51, 119], [34, 90], [40, 111], [2, 48], [22, 69], [40, 93], [18, 81], [14, 72], [54, 121], [22, 63], [26, 69], [0, 53], [34, 102], [63, 106], [60, 106]]; loss = 0.027299 low_pass_filter = 0.300
+Epoch 0: | | 27489/? [4:20:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 27490; scene = ['3f104b93372efcda', 'ec736f79975228d9', '6e81169e32e8c8e9', 'f0a566ed68e65b62', '41604fbf6dacd451', '33ed8d0df5f8c20d', 'd58001b541d912dc', '88e6344986a03450', 'd9d98cda23d10c9b', 'f0d33a2db693635a', 'de1f080af877df76', '4ab0fc22f4d9bd6b', '38e8301a4405eca6', '992f739dba95f93a', '6093fe2362714108', 'cc8e19c8ad1846f4']; context = [[16, 57], [93, 136], [42, 91], [93, 157], [14, 64], [45, 87], [107, 155], [74, 146], [74, 131], [2, 44], [76, 135], [0, 46], [5, 53], [0, 54], [15, 80], [0, 47]]; loss = 0.025827 low_pass_filter = 0.300
+Epoch 0: | | 27499/? [4:20:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 27500; scene = ['c37b454f5da63294', '0fa74425b75be77d', '260daae5c4e5ef5a', '96cb3db75422f95b', 'c4b188678255126c', 'ade44bf3e35c9262', '1bccb21ba03d97ee', '94eaf5be2556470b', '5ff62b81e127cc0a', '0315e41f172fd12f', '2c37b4aa102fcb10', '4845d1d4cf79ba47', 'd6fd3cc56301f094', 'c3130fed2437a498', '1af13fa31de17e0f', 'abd6874099d218bd']; context = [[14, 58], [8, 59], [141, 191], [183, 238], [6, 45], [29, 101], [6, 68], [135, 191], [74, 133], [35, 105], [74, 141], [112, 170], [3, 66], [16, 81], [15, 81], [18, 60]]; loss = 0.027346 low_pass_filter = 0.300
+Epoch 0: | | 27509/? [4:20:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 27510; scene = ['0d11d12c93f624c4', '9d825e84a98395fd', 'a810c60104f378ad', 'eea3b04c40bb7d2f', 'e9fa89d8a88680f6', 'ed88cba27d1253aa', '358c76c017169cbe', '3443a368dfa7d6a6', 'd8583a6600010856', '9d156dc70e89888b', 'd6a89c16aaab7af1', 'eec05afefdf40ec8', '3f71dccb016a848f', '9be98871c79172bc', '18fab33114eb4b24', 'acf6cfa881ce0e5d']; context = [[12, 63], [135, 188], [85, 128], [134, 205], [11, 68], [4, 49], [43, 104], [3, 75], [35, 85], [11, 60], [85, 147], [17, 71], [58, 117], [5, 52], [48, 87], [29, 98]]; loss = 0.024794 low_pass_filter = 0.300
+Epoch 0: | | 27519/? [4:20:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 27520; scene = ['56eb20b2659dac4c', 'fe529b17be1d94ed', '55a60a0830766221', '419b6989160e3606', 'db9a1ba4eab8b3c9', '5816deaba41a899d', '3e67b481ef280294', '963389198f0d43c9', '82c4af6d697ddba5', 'd96447ccfd1daf81', '4f07c7aeda6dfd54', '6dc6bdc8ea4b6034', '246a0bdee01d12f1', '5ca47925cdd3c7ce', 'e783de3eb3d285a0', '7eecf8d8b64017b1']; context = [[11, 53], [56, 126], [8, 72], [22, 72], [12, 68], [4, 55], [1, 65], [23, 65], [1, 55], [37, 88], [16, 79], [135, 185], [1, 52], [198, 243], [17, 67], [23, 66]]; loss = 0.026925 low_pass_filter = 0.300
+Epoch 0: | | 27529/? [4:21:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 27530; scene = ['472c6da60ce7c148', 'a8d37772aaad1161', 'b6bc533cae48ea5a', '12e0cd73e03185be', 'bf1be07d9e719270', '916cff79bab5c96a', '282ff31ba697ef6f', 'f55137ed9c15c6c6', '89367ed9904ef5a1', '89680a7f11b75421', '99a47f816620e8d5', 'ef9a9a9d9f9d48d8', 'f0f62401af0e2e2f', '299413c1beb0e49e', '3d091f661f2b9fd3', '93a3175cacb5cb3a']; context = [[1, 69], [19, 89], [8, 65], [6, 71], [93, 158], [48, 89], [30, 78], [28, 98], [4, 54], [8, 52], [28, 82], [9, 58], [145, 217], [0, 39], [71, 117], [29, 75]]; loss = 0.024198 low_pass_filter = 0.300
+Epoch 0: | | 27539/? [4:21:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 27540; scene = ['f20cf4a70116d38e', '47a2a8b326b9f40e', '2186daafa25b96fb', '52eb80f0c2d7871a', '194a9facebe12d0b', '4e6d33c952bfcaa4', '0d754618c77e44f6', 'bf07bf11839f5d12', 'c4d245912b2d96d5', '33bf05eb6f7b366c', '027555111a253d5b', '88dbf667504fc6d0', '79f91294f0c6427d', '993b9c8748ada295', '79fd1c101e824424', '05d25ebd7804e6d3']; context = [[6, 75], [9, 49], [19, 72], [12, 53], [61, 101], [96, 158], [41, 85], [231, 278], [53, 117], [56, 126], [53, 107], [16, 65], [6, 77], [69, 129], [4, 63], [95, 144]]; loss = 0.023117 low_pass_filter = 0.300
+Epoch 0: | | 27549/? [4:21:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 27550; scene = ['f4a0716baf89c85a', '6bb980981d578f1c', 'b66b5fe75bc57149', '2eff7289cd293852', '715b259ea9988c79', '5e3ea271106a0019', 'f1ad34b317f596a8', '54b7cd4104a189b3', '5a33c3fd335205dd', '6d5a7765a9f78f05', '1646e618e848d6d4', '92243f1c96656398', '3d3570cae9dd24b2', '62dfb6acac4e7353', '8323efaeeeb08726', '3a118f5199067e38']; context = [[30, 74], [13, 59], [118, 189], [2, 63], [7, 73], [4, 49], [9, 59], [50, 117], [13, 72], [13, 67], [78, 144], [82, 151], [40, 105], [57, 100], [106, 150], [94, 143]]; loss = 0.025241 low_pass_filter = 0.300
+Epoch 0: | | 27559/? [4:21:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 27560; scene = ['ade3f590a7be2328', '8e7f0e79819eb6aa', '157baee638f35a22', '8db13e90869643d9', '4f7347ee36e438dd', '93d09ea08f99b64a', 'de93573d31cff904', '63ba92b34d3fde69', '78872a6ded88d2eb', '34adc24af2d7960f', '661d465e98bec126', '1bc367ba2b28912f', 'bc2a7a37df0cdb53', '102d19c9e7f4cbf8', '5cc5a65c5d2b03ee', '7c996dd6ba66b365']; context = [[176, 224], [22, 70], [135, 205], [19, 89], [69, 139], [0, 61], [132, 187], [44, 88], [0, 40], [42, 104], [22, 86], [25, 82], [60, 103], [8, 52], [0, 57], [1, 50]]; loss = 0.025184 low_pass_filter = 0.300
+Epoch 0: | | 27569/? [4:21:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 27570; scene = ['efdce6a9976d3a61', '84de411e2f045078', '7b10966e85164c25', '26b2c1728be65cbf', '7d7759b7cb06c9a3', 'af5a2cdd7f1dc3c4', 'e5a0aa552fa5c442', '41cbd594e78532c4', 'ec667fb58c6d3a6c', '1e69c0ba9e7fb023', '3b0c6fee0faecce2', '0dc7065a7b99d535', '74930e8389574a41', '63513ee2e5e74f65', '4bf8f4e620c27a0e', 'c21f6c67e7509e1c']; context = [[15, 75], [147, 191], [72, 113], [28, 86], [27, 69], [140, 193], [33, 96], [3, 44], [19, 61], [21, 89], [135, 189], [70, 134], [95, 157], [8, 48], [7, 66], [41, 105]]; loss = 0.030554 low_pass_filter = 0.300
+Epoch 0: | | 27579/? [4:21:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27580; scene = ['2c829a056844b920', 'da730944311546b9', '24b61a5f82f26bdf', '4d836c051f02de01', '24d33601b8e09152', '3caa89905a59e7e6', 'caf9ede6207be244', '4b1e9951025df85e', 'b35989ec71b82d59', 'd0671d8cba320b2b', '9d83d265a6f6743e', '0ffb281660c6cb11', 'c092a25d4ba3ff11', '2a63d1563f12cd02', '71f703b6d8c4ab1b', '08da23838ee6e23b']; context = [[51, 96], [3, 74], [18, 74], [20, 60], [78, 142], [34, 102], [171, 213], [122, 194], [70, 140], [22, 87], [2, 52], [43, 99], [24, 84], [193, 250], [33, 85], [0, 67]]; loss = 0.035423 low_pass_filter = 0.300
+Epoch 0: | | 27589/? [4:21:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 27590; scene = ['db5e3b998bc94027', 'b75f3820760d835c', '2f261ec99e601af5', '458e67c3c4dfbf24', 'ea048e21097e9eae', '482ceff1527f21e1', 'd3b36dc75c49581b', '323bdfae8bc5f180', '18c387ae52ec7b2b', '04334b719bab18e6', '26cf6203b5529728', 'b4e91f9bcd03f6c7', 'e3912708738ed398', '74eba9be56fdee5e', 'aa09352702c3e9ec', '38f50a03d51f7cd4']; context = [[1, 53], [0, 52], [11, 50], [47, 115], [56, 122], [34, 97], [1, 40], [5, 51], [11, 56], [16, 59], [22, 87], [78, 143], [16, 58], [66, 123], [118, 160], [11, 64]]; loss = 0.026378 low_pass_filter = 0.300
+Epoch 0: | | 27599/? [4:21:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 27600; scene = ['05c52e8ba8c5cbdc', '205015c1687f087c', 'adab6b638da78c1f', '995229823cee33f1', 'fcb6c8553cea825f', 'b18342b4830b0a53', '88877d752d646541', '486585554880b445', '8d09f95e8cd20fb3', '6b34873a45d50903', 'efe5ec82744133d7', '6b208a24453bcb54', 'd8bef9a942687b34', '15932282402d4c97', '5f48e405296a0612', '1a0692f3ed3b343d']; context = [[74, 116], [30, 87], [6, 48], [2, 43], [12, 66], [59, 111], [2, 41], [125, 180], [37, 99], [39, 86], [123, 192], [72, 113], [131, 199], [139, 211], [9, 79], [60, 101]]; loss = 0.026876 low_pass_filter = 0.300
+Epoch 0: | | 27609/? [4:21:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 27610; scene = ['13c1203193cd28c1', 'cd552e321923c4b2', '369e9677f8dfcfb5', 'fc6cc5edd65440c8', 'bcbd422c5506815b', '1f2fe0d464f61de0', 'f4e639c0c0c58d2f', 'bcfb6fd4173ca1ef', '70433ba7c4f514ba', 'd476c136d6fe6cd9', '3b7c67b6632b1c74', 'edcdfad297756b43', '983944b4dd64677d', '8a11b9190b9c768c', '0e57d2d8655afebb', 'c6ddb4bd6ef6f42c']; context = [[10, 69], [156, 218], [52, 121], [21, 85], [0, 49], [65, 120], [20, 67], [20, 89], [0, 40], [26, 75], [161, 214], [191, 245], [7, 48], [12, 73], [9, 52], [1, 65]]; loss = 0.045022 low_pass_filter = 0.300
+Epoch 0: | | 27619/? [4:21:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 27620; scene = ['eb0b0f7457e2a430', '0d7d697af93bbebc', '9ef5b77b6ce7235a', '40990b4eb108c003', 'ca738f440873a7ac', '32f21d507431102a', 'cd7942b83b5de1dd', '937c5776c7311396', '9ea9c23612f4febf', '4fd9d45647d536e5', 'ede1a18c89abe3dd', '4856e6d863a32e60', '2a3e630ec3bdb846', '43b9a1cebcee9f70', '3562ce0ddbf1d45e', 'c95f1f846f48d813']; context = [[9, 53], [9, 52], [2, 50], [23, 69], [8, 47], [18, 75], [40, 82], [23, 79], [11, 66], [20, 78], [8, 79], [28, 94], [41, 85], [44, 99], [9, 61], [135, 178]]; loss = 0.026086 low_pass_filter = 0.300
+Epoch 0: | | 27629/? [4:21:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 27630; scene = ['98c52825e7ffac25', '1b88911bf16bb6ed', '879d7f9c93e40924', 'd63fda54f2f8070d', '20b3dec78e071258', 'a402cc3003cb8785', 'c5ac88f14d0b15ca', '5f64c40f03d6afdb', '6ef374c70b8143ba', '3d254dd811b1350f', '2cf2d2545b3f329a', '7df474deec3b804e', 'c6d8b4ad1f0a29d1', '7a2ccada5444997a', '7a353cd4d421d425', 'cc2938391b3d5a80']; context = [[0, 50], [151, 212], [75, 120], [0, 39], [87, 136], [171, 210], [139, 206], [30, 85], [25, 83], [1, 55], [21, 81], [80, 124], [0, 64], [73, 124], [0, 40], [27, 88]]; loss = 0.024914 low_pass_filter = 0.300
+Epoch 0: | | 27639/? [4:22:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 27640; scene = ['20467fe97121072c', '651dd13b1dab9b01', '251366dc002bf6c3', '742797055a67c950', 'aeb17dab82aa05ac', '821c671b230a1ed7', '6be0a940423eafdf', '8affa132fa270700', 'fa6335a92d7faa48', '955559418313af15', '4dfd54f3098821dd', '2f954072e9834dc2', '547e4e06b1a865a8', '0ff1ada6d68e835c', 'a88fe04e539fdc97', '485d3236b9e66ff4']; context = [[47, 97], [0, 67], [59, 111], [0, 41], [0, 51], [24, 64], [2, 58], [9, 59], [101, 162], [155, 204], [2, 46], [6, 77], [50, 91], [0, 40], [5, 47], [4, 50]]; loss = 0.028393 low_pass_filter = 0.300
+Epoch 0: | | 27649/? [4:22:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 27650; scene = ['9d1d43c1047d4f6e', 'ac22b394a79b025d', 'c0c21b050511ef76', 'dea4f2fd63133d6f', 'b2262395c0d1bb4d', '82d16f436a69a71c', 'dbb0eec549cb5e45', '704f321e2f7ae62f', '1ab9594c7015ecdc', '96b288f5d1c515bc', 'faec00f5ad1203b9', '6a770609acf21a54', '117c40ed2a9e43f3', 'c315feff5caaf789', '68eda0e3a97731dc', '97be5aef5a551277']; context = [[4, 44], [3, 65], [87, 131], [133, 174], [195, 254], [2, 52], [3, 66], [110, 155], [49, 107], [54, 98], [3, 49], [65, 104], [16, 55], [53, 121], [3, 44], [7, 65]]; loss = 0.027224 low_pass_filter = 0.300
+Epoch 0: | | 27659/? [4:22:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 27660; scene = ['2dfd63e7d38e06ea', 'a4c1fe839c7b6b5f', '14c0aa61fca970df', 'b654a339b448e249', '3bf7857bb7d748c9', '9620840e96b2d2b6', '3f3f4045bd24d60b', '24f290d5a56f7558', '19e64da989875378', '4b6052c5b5512c05', 'ee58d3e6ed02667e', '60c0ce7c9ccbc383', 'f34fc9a1fbf6a05b', '743b4f5c1da80b89', 'fb1ec62bc72d0af5', '722803657cfd20e9']; context = [[28, 94], [30, 99], [97, 142], [47, 105], [31, 91], [11, 66], [3, 65], [1, 49], [59, 126], [203, 264], [0, 57], [63, 117], [48, 100], [48, 98], [42, 87], [82, 127]]; loss = 0.026219 low_pass_filter = 0.300
+Epoch 0: | | 27669/? [4:22:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 27670; scene = ['43ce05d6475da02d', 'f026c8f1c91ab212', '798149529949f159', '712676205fed832e', '19ab113385187a33', 'd06e8e0e19cbac49', 'e2def0f395897d80', 'f8b30c578da2a67f', '4685032f7cf33684', 'de7aa7d53bd63a7b', '80f0b92d65aad85f', 'bf5e568f2fd566c8', '111f2a26b60fd1e9', 'eb7be33912a30b4d', '84727cf519681ecc', '8038a594dd50c839']; context = [[0, 62], [57, 114], [0, 71], [0, 70], [2, 49], [65, 109], [24, 65], [47, 92], [1, 48], [139, 197], [38, 80], [71, 120], [19, 74], [26, 74], [25, 77], [40, 111]]; loss = 0.030013 low_pass_filter = 0.300
+Epoch 0: | | 27679/? [4:22:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 27680; scene = ['9b916b164d618877', '88261e13957b0e4e', '28e1889569b206aa', 'db537420efada436', '1899f9503591706a', '0935b1ed5367813c', 'dfd7ac5b3120d4d4', '76da738b80b894c6', 'dd8f995702591ba7', '7b2378ebd9c53c89', '9d4bb3c6783e57a8', '909da0bab82b1291', '23c1ccdbb82ee29c', '0b33181143dd3303', '9923d4ba5dd6e67c', 'bb31564840f2db2f']; context = [[25, 84], [20, 78], [22, 85], [15, 76], [24, 86], [34, 104], [74, 132], [191, 238], [8, 53], [44, 86], [9, 58], [0, 43], [52, 104], [121, 166], [1, 49], [16, 78]]; loss = 0.024278 low_pass_filter = 0.300
+Epoch 0: | | 27689/? [4:22:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 27690; scene = ['08795007f7dbe014', '970d8b8f32b657c7', '742400ae02982a58', '463338d27813b202', '32a01427f04b7038', '592c1eea73fa43a2', '944da8caf16bf01d', '2dfd824c1516f925', 'ea34fe29b32d99f1', 'b88db7960be465ab', '359af2b0f4c26712', 'c21a7d55e154f542', 'ba94402402fc0c58', '9928ce087f146444', '33adc68fe41da745', 'c301d66da36ab4f6']; context = [[57, 110], [14, 54], [45, 110], [9, 62], [15, 55], [18, 80], [133, 201], [23, 64], [46, 110], [89, 130], [25, 89], [46, 89], [62, 112], [66, 111], [21, 82], [30, 78]]; loss = 0.027029 low_pass_filter = 0.300
+Epoch 0: | | 27699/? [4:22:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 27700; scene = ['7791ac83acc95bc6', '75cbf5f3c4e202b5', 'c6d16d8171fd7cd9', 'c43f6cb71bd73cdc', '966efe3a05c222e3', 'ad459619c3a9a247', 'b6f83789a98ce8b6', '9fa220aa45f74fd9', '63b915dc33b4d8b8', 'f0ff115bde902220', '71a4cd14a004b0c4', '089c0a30c1f1841a', '94a9f9168de39459', '2d003de6870dadb4', 'de2ff60e64b5c5c5', 'e76f0e42740bcddf']; context = [[107, 169], [215, 271], [5, 62], [176, 228], [49, 98], [53, 97], [13, 68], [24, 74], [6, 70], [14, 80], [58, 108], [131, 180], [129, 193], [10, 63], [194, 259], [117, 162]]; loss = 0.030393 low_pass_filter = 0.300
+Epoch 0: | | 27709/? [4:22:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 27710; scene = ['a2012fea65fdb1d1', '1d260e4bebf2c0e6', 'd8e1cd667f0c5721', 'bd64124de2aaeb79', '3834d878ae1525c6', '027f46042d62d8dd', '5a661bc2c6c62f59', '615d5da2368e312c', 'e83f9a06c24e0a28', '56ce9c5595c74ce5', '69c9010e3d4209bc', 'c544ed479973807f', '07891f56f57ac39d', 'ef380960d4d8a206', '33087de9d002ffd0', '55ef7e7acbe84587']; context = [[39, 104], [14, 85], [24, 68], [19, 84], [50, 103], [101, 169], [4, 56], [70, 115], [186, 225], [3, 63], [37, 100], [11, 69], [78, 131], [25, 78], [4, 47], [0, 62]]; loss = 0.021784 low_pass_filter = 0.300
+Epoch 0: | | 27719/? [4:22:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 27720; scene = ['79b98ca7a10a7ec0', '9d47d4a28f90eed6', '0c8ed42959e3baa1', 'a9076cefdaf187db', 'bc18ef9da9266ea1', '405fb698ebbbc72f', 'dcf314f2c3a6e7f3', 'f3cbbc8038b28dfd', '1a05eadb5bfe9298', '18cd81fd43802ca0', 'acc0f662d42adce1', 'ed669c1a448bb28c', '936403cfc9f2dc63', '43e44e88bc273916', 'fcfd27c98731e0cb', '04364d8a8da17216']; context = [[31, 72], [112, 163], [46, 93], [59, 98], [49, 119], [1, 62], [122, 178], [144, 194], [19, 78], [57, 118], [41, 99], [24, 91], [20, 89], [26, 78], [29, 92], [72, 117]]; loss = 0.026186 low_pass_filter = 0.300
+Epoch 0: | | 27729/? [4:22:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 27730; scene = ['a9e0d85c2f54cf4d', '272f6e764e09c05f', '77cf345e3fadab72', 'a548a64351982b0e', '35a97ea535944eac', 'ee2ccb008e1780a9', '77a0fdc6389de36b', 'edf8fdfe10fb893c', '34769f82ff4b286c', '2bf2121510674b04', '04c4c5a25b4ccb21', '17d74baebc458fb9', '2804817967c9ab8b', '1fba7a1a16edf7db', '232da3c3c432bcf5', '4df2a98cf2678d8c']; context = [[18, 76], [112, 156], [8, 50], [50, 121], [54, 113], [0, 44], [13, 73], [108, 151], [0, 63], [163, 203], [45, 85], [3, 68], [98, 161], [2, 53], [4, 49], [123, 164]]; loss = 0.030671 low_pass_filter = 0.300
+Epoch 0: | | 27739/? [4:22:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 27740; scene = ['8d6d63fc0319773d', 'a943ba6f8905b420', '3f1ba6d26920ff8e', 'ede92a46c8dd0f52', 'd9ce36aa8de182bc', '64082c7dc15fa79d', 'd347f976ced5d74c', '8cff663bbb394999', 'dfa7a182916c12e1', 'a9bf3348f1e83705', 'e7b77b29b8726843', 'a21e21e40f9db94d', '57ccd86b6a8979b3', '458eeba74b812c02', 'c74adb4381e65e99', '0d90ed598558a194']; context = [[56, 109], [35, 76], [94, 143], [17, 73], [94, 146], [71, 126], [1, 67], [62, 102], [10, 49], [2, 71], [30, 71], [20, 89], [32, 92], [79, 137], [16, 77], [44, 99]]; loss = 0.249809 low_pass_filter = 0.300
+Epoch 0: | | 27749/? [4:23:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 27750; scene = ['3f075565092a0ab4', '210a554ba8d9cd87', 'e18573d92ab9ebf6', '70b657330ca11de8', '481eaa0e0208530c', '5635970d790ef23e', '3afb5d28d32fe31b', 'f5b22f85a5ab4806', '9fea16da5934281d', '7665f3aca38b0220', '4ea42f87aebcb998', '8d0a735a877f6368', '48252a4b54c04894', 'fe53ac06ff2c6263', '6fa213735bf0ea55', '54c42c5b41dede35']; context = [[94, 158], [33, 95], [125, 180], [19, 80], [36, 83], [76, 142], [10, 70], [8, 60], [70, 129], [30, 90], [101, 140], [9, 56], [30, 89], [10, 77], [4, 59], [78, 121]]; loss = 0.067616 low_pass_filter = 0.300
+Epoch 0: | | 27759/? [4:23:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 27760; scene = ['903f7c6f848de281', '607acbde108694e4', 'fc13b2d2ffbcffe8', '644b75fbb7a4ae21', '5e1afe14aead7542', '1ac4cfaff40371ba', 'b5f5bd68eb8e3559', '96422d8d95f912c1', '3eeebb67b68de53a', '9ee8d96d6bc2de0a', 'd5b16e5b51d9d8d0', 'deb466cc3488ab16', '74acf5f2f5dac8ff', '53f1374e843f9f79', 'a77a3415d5f25583', 'a30e87ca123b7dcc']; context = [[36, 104], [172, 224], [92, 134], [2, 75], [99, 169], [119, 160], [34, 101], [1, 62], [214, 257], [212, 275], [38, 80], [13, 56], [62, 131], [33, 93], [27, 98], [197, 270]]; loss = 0.027907 low_pass_filter = 0.300
+Epoch 0: | | 27769/? [4:23:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 27770; scene = ['c26d5d12513a89f0', 'dfb732656fe8d87d', '8dbbda348bab6e09', '3650d51c6e815a8f', '7e7304071e8c46bf', '02895e8b4e269177', '005c440a72e93b03', '6d59697bc66e7dab', '015cc846a79bd3bc', '9fa1697870cd2212', '35ac2da38eaff5c1', '9444787f48a50cae', 'e3e872cb421fb27b', 'c5d83d3dc6ee634c', '8d3bba01b2043d82', 'e62eb323e888a344']; context = [[37, 102], [1, 64], [34, 96], [20, 76], [12, 85], [2, 74], [41, 98], [0, 59], [7, 77], [65, 125], [56, 101], [136, 188], [14, 74], [1, 64], [8, 72], [47, 113]]; loss = 0.033498 low_pass_filter = 0.300
+Epoch 0: | | 27779/? [4:23:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 27780; scene = ['036fdcef477396ee', '600e0fb99c2b3817', 'e4353269f69c4e0f', 'f744455fc964a260', 'cc08397f41911501', 'db52871fc7ca0bfd', 'ca62e7774f3d688b', '6f4019062371b8fe', 'fe2250f23e91261e', '46098a3607b75cd0', '98d35dadb621cdd3', '56f34e5d22caa2dd', 'b14338773e321e61', 'd58001b541d912dc', '88e6344986a03450', 'd9d98cda23d10c9b']; context = [[104, 173], [33, 79], [5, 55], [23, 93], [19, 61], [65, 112], [130, 175], [5, 56], [7, 58], [99, 139], [3, 65], [74, 121], [3, 62], [24, 78], [126, 186], [61, 116]]; loss = 0.024698 low_pass_filter = 0.300
+Epoch 0: | | 27789/? [4:23:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 27790; scene = ['2e2f1ccf62989277', '669a178ba2796066', 'd0e701163b3237c4', 'a490e682ff266afe', 'aa41eb9219ec67a4', '44b47f1ce0a9d648', '1e1be68e5d2c0b80', '5a99e1d90d1ac9a9', 'bb6c0a11d8e4853b', 'fa3629688684df1f', 'ceccbecac655b01c', 'db604dcd44e99d65', '2ba9777778fe9973', 'cafb7b387787db6b', '0be127358da454de', 'da3a6901f12a6e59']; context = [[37, 81], [6, 50], [39, 102], [21, 63], [10, 49], [45, 91], [92, 135], [17, 83], [76, 117], [10, 68], [0, 62], [96, 137], [111, 163], [182, 254], [22, 66], [196, 267]]; loss = 0.028664 low_pass_filter = 0.300
+Epoch 0: | | 27799/? [4:23:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 27800; scene = ['2ea576c9827ada9c', '36836948d81feb91', '673f289319d805dc', '6736bff536cac8cf', 'deaff9fb0452f93a', '1f7737edc0fcffd9', '10b875c6e935ee0e', 'f98cb4f86c049782', '8d7a067e39abbbba', '2083d004f0de3ae6', 'ef172dd582fa42bf', '48a97d2034b51f63', 'c2c7481ec7a1e077', '773cc15e1c1cc394', '490a9a7a8e9627f7', '2c4314b7fe7822b0']; context = [[13, 52], [47, 113], [4, 45], [2, 72], [23, 77], [130, 181], [118, 166], [39, 108], [167, 216], [27, 89], [12, 63], [64, 131], [29, 72], [5, 56], [13, 73], [10, 59]]; loss = 0.021525 low_pass_filter = 0.300
+Epoch 0: | | 27809/? [4:23:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 27810; scene = ['d5faf108392dbf89', '3a4c5992f0c9ccac', 'f917dd00fcdf0961', '69ff3da8fa31673e', '3d6544d711c2db4c', 'ca982d77bc953b5a', '1745b07cd7862df1', '00b180c077d3e3d4', '6c16eea5b4727239', '90b8a7971706986e', '29cda2ca5f4a1dda', '7b4006c02dddd695', '047927ab286923c2', '9eb99257b0499b06', '745ad1cee81a6a56', 'a7264b9005fa40fd']; context = [[19, 62], [114, 181], [1, 57], [30, 89], [102, 158], [137, 209], [3, 45], [48, 113], [83, 151], [33, 78], [0, 39], [35, 82], [2, 48], [20, 81], [1, 40], [179, 250]]; loss = 0.024800 low_pass_filter = 0.300
+Epoch 0: | | 27819/? [4:23:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 27820; scene = ['ea6c5ba4e270d851', '0c61bf4c72eee218', 'cbddb92c8ec477b8', '441344c9b1093515', '8060b04ab454bb81', '590f202b18a0a562', '339350221e336f10', 'f107b68f4a5f2f10', '1d3d9af5e8de4a67', 'fcc4e26b563a8d96', '26c6bb0e2234698b', '20d6ec0f2bc94541', '5d9526b17d8736a3', '89ad475d12af1821', 'cd4599abebf9d60d', 'aad7773777457cae']; context = [[64, 132], [4, 56], [22, 73], [9, 49], [27, 77], [151, 203], [6, 49], [35, 103], [38, 95], [91, 141], [19, 75], [26, 70], [54, 108], [37, 101], [14, 77], [143, 211]]; loss = 0.024957 low_pass_filter = 0.300
+Epoch 0: | | 27829/? [4:23:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 27830; scene = ['8c8885e9f17b9274', '59029ee2996b0ab1', 'a4e41a67cc55ca5e', 'bc2e945b1756b46c', '7a7a72defe7bcef1', '9a372cf24e8024be', '236b1ba502dbd80c', '6f1705cdf4a6ed55', 'e03120267bb97141', 'c1ce8750dfdcbfa7', 'daf86b37910a1654', 'efae468fa7691c75', '5604225ddca0c7d5', '7ad1fce2b0339169', '6a45430a21453285', 'b25bb04a13a2429d']; context = [[0, 71], [21, 75], [10, 69], [79, 140], [120, 184], [17, 89], [3, 45], [75, 142], [167, 211], [6, 68], [0, 68], [155, 203], [224, 275], [33, 75], [23, 85], [30, 86]]; loss = 0.031616 low_pass_filter = 0.300
+Epoch 0: | | 27839/? [4:23:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 27840; scene = ['287f04b4d4c3d565', 'eefd18e172ae4596', '40d62c1c34dcb4ad', '4dce6855bd78d472', '463a721c706cb237', '4213a78b00a65962', 'e598c6c4d23a5619', '27b5502283386ee3', '4610410bd5d02055', '49f642c0373c7e78', 'bbd574fc81d02bf9', '73c5ddec7618bb6e', '2e72193bbf197bd5', '2653a2f787580744', '9c72bd16d6b22437', '80e81e341b65a870']; context = [[60, 111], [17, 74], [80, 148], [5, 45], [110, 175], [75, 136], [8, 73], [2, 49], [220, 277], [112, 180], [215, 262], [31, 76], [120, 176], [17, 74], [149, 201], [55, 104]]; loss = 0.027134 low_pass_filter = 0.300
+Epoch 0: | | 27849/? [4:24:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 27850; scene = ['277df596054b969a', '0b845dc703c23621', 'e2ddac2cd9b23fe3', '8ec32dd001a2b529', '96489fd56f875313', '87b39fab5d5d0845', 'fcc7db4ad1f2444f', '9dace42deebd482f', '73b234b2701f10c5', '589eca489876d5ce', 'c24e778228e92bab', '129aa9e63c248582', 'afbf21db765f449f', 'eb864005eb96e04e', 'cc0f96cc71a6dd66', '6ad946dc7c7a5ae7']; context = [[26, 67], [35, 81], [68, 109], [3, 58], [9, 82], [10, 64], [66, 113], [34, 84], [5, 44], [15, 56], [0, 41], [53, 123], [2, 51], [83, 126], [2, 64], [20, 61]]; loss = 0.025546 low_pass_filter = 0.300
+Epoch 0: | | 27859/? [4:24:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 27860; scene = ['3cf744c34871eadc', '509c0508abb2ba89', 'd72595b1e4d300b8', 'dd9d19ccfa8af8c3', '39035161d5f665ba', 'de772800746f474d', 'abb870c463ad6694', '1e3d79dd018ee0ef', '693c174950303e1a', '601f958df441c7c3', 'e1e9e69901a40e12', '8aaf364e9e56819e', '224cd9063e37816c', '711190f70f36060b', '7a0eb41a0f19e724', '710cf7a86b4c5965']; context = [[21, 85], [58, 117], [34, 89], [13, 82], [1, 57], [85, 140], [4, 60], [1, 74], [28, 84], [44, 89], [50, 114], [10, 56], [147, 187], [41, 100], [78, 133], [22, 67]]; loss = 0.028165 low_pass_filter = 0.300
+Epoch 0: | | 27869/? [4:24:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 27870; scene = ['c219d2148d02d548', 'dd17004fbd4dcc42', '6ceee3e441827b1c', 'fc4456fea1c67e5d', '50d7e64b19747fad', 'a6e5fde299dbd66b', '59491fbde19676bc', 'da3850d0382a6145', '46baf2007c7de989', '7f8dde6252e1ed13', '22d6bc367304c934', '01272cb3e77d7aa3', 'e09552a1d3ff9da2', 'f1e0fc96c0c84a64', '0c00add2df364424', 'a2379d62fc9f4644']; context = [[64, 120], [41, 110], [52, 100], [71, 111], [1, 53], [6, 58], [122, 168], [54, 103], [29, 75], [7, 72], [12, 51], [72, 117], [114, 158], [139, 190], [58, 114], [3, 47]]; loss = 0.024903 low_pass_filter = 0.300
+Epoch 0: | | 27879/? [4:24:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 27880; scene = ['7836200c75b0e42d', '2ae079dcad63c1c1', 'e93bb5f352f12779', 'b9e20c6ca2630cad', '02ce170824e128dd', '41454feb44f3cc7f', '8d89803ec0446d0e', 'f39f139a01476176', 'f8961efbf6e73ce5', '50d6d19613455b86', '29a47ea47b953e37', '129bba31edcccb2b', '485e4c3a23558aab', '824e5d9fe8f9fe1d', '45ab71fe50becdee', '6549544819976e02']; context = [[12, 55], [193, 237], [81, 136], [30, 76], [193, 250], [13, 71], [13, 85], [58, 106], [9, 75], [84, 132], [36, 93], [84, 129], [47, 92], [112, 170], [2, 62], [9, 58]]; loss = 0.023694 low_pass_filter = 0.300
+Epoch 0: | | 27889/? [4:24:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27890; scene = ['ca0ef4335afc5644', 'cb818807e848d9c8', '584403b16a766bc4', 'd2ae259bb6a6935c', 'fd7f996ea6606892', '7e062d231f9f28d5', '2f38640c40521949', '7eed7143b1d9bdf1', '2ab2d93f8f85cee3', '91f9e00c7c8f26ae', '083dd412e66fa8e1', '4163aae5c14c2259', '595377a9a51559a6', '1ff6f068edd2bc64', '9beac3cf904bf329', '25672d21b37e4869']; context = [[57, 103], [11, 62], [27, 66], [158, 204], [18, 82], [199, 265], [21, 62], [2, 43], [72, 117], [2, 67], [80, 124], [8, 60], [3, 57], [6, 75], [12, 52], [16, 75]]; loss = 0.026428 low_pass_filter = 0.300
+Epoch 0: | | 27899/? [4:24:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 27900; scene = ['adaeedc8b4e18bcd', '3c8cc7b6f503fdb3', '0808089b36ee2e6e', '90daa00e8511dc42', '9e96c9dd6e3fc876', 'c509e6e7aee4fed8', 'ce4fa27b4ee5955b', '5bf1d42524c02fb8', 'b41d3898f57085e3', '2598b88b7b7d2119', '011fbca4c333495f', 'b8e91cbe57d886af', 'fd796259bef6cab0', 'a308376472392fc6', '5aad4a21ce37e53e', 'e7b0248022eae778']; context = [[125, 167], [6, 53], [2, 41], [10, 51], [23, 63], [4, 70], [0, 65], [35, 85], [136, 190], [55, 102], [11, 53], [48, 108], [191, 264], [7, 61], [2, 48], [14, 59]]; loss = 0.026867 low_pass_filter = 0.300
+Epoch 0: | | 27909/? [4:24:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 27910; scene = ['6b65ff9c9cbf081c', 'fd49de1335b98352', '53c27ddd5ade14e1', '4618698bb2ab83d8', '6f5e801f06d3049e', '642cab214d35f82c', 'fa35f9e55bbdde00', '4f40c57cfb094233', '74d7c2adcecd2b30', 'a28c0b4342f96095', '972d1682e9cd6bce', '739a34f9967644b1', 'd11d6c1af1241641', 'f2358c2b5ee6dec7', '5413aa42cf24a615', '9afa50a185693113']; context = [[2, 50], [19, 91], [20, 61], [55, 100], [2, 48], [2, 58], [5, 76], [25, 67], [0, 71], [61, 105], [10, 83], [2, 52], [12, 84], [28, 67], [143, 195], [3, 75]]; loss = 0.022217 low_pass_filter = 0.300
+Epoch 0: | | 27919/? [4:24:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 27920; scene = ['1f4505aceb623cad', '782d8b471d07d7b7', 'bc74ad2a279e2f06', '76b86db69a42706b', '8ed43c486029355f', 'efb18ec13c798dc1', 'da90c9dc0f6502e2', '3692aa2fcb9fc76f', '36333e8f8b17b87b', '7b23671474e586d7', '1f23ff34bb3a2684', '9be4f3ccea766a3c', '520042b8f6b60fc0', 'a093a44bab86f0d6', 'f0c9b2f1ffee3826', '87a6c100429590f3']; context = [[14, 82], [34, 97], [23, 78], [4, 54], [27, 76], [41, 98], [140, 210], [99, 142], [1, 73], [10, 58], [59, 99], [16, 71], [3, 68], [0, 41], [44, 87], [88, 154]]; loss = 0.029677 low_pass_filter = 0.300
+Epoch 0: | | 27929/? [4:24:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 27930; scene = ['607acbde108694e4', 'fc13b2d2ffbcffe8', 'b5f5bd68eb8e3559', '5e1afe14aead7542', '18e66f4ce4b016c6', '1ac4cfaff40371ba', '903f7c6f848de281', '96422d8d95f912c1', '77599310739d08b6', 'f7c53a68d68875f4', '865900d9c2b663c9', 'e3e576f5e8270112', '001573921974bc70', '9b2b777203c485b2', '174ececf4806c75f', 'be1357905deb4c72']; context = [[53, 124], [42, 101], [61, 109], [107, 168], [13, 66], [101, 151], [6, 71], [12, 55], [9, 71], [100, 173], [99, 152], [23, 64], [169, 222], [113, 167], [103, 173], [48, 94]]; loss = 0.022257 low_pass_filter = 0.300
+Epoch 0: | | 27939/? [4:24:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 27940; scene = ['366155957b8d3713', 'f5555cb7c50f4cc8', 'de479f6a023d7c54', '91fb18afb0b2b05a', '1fd8f49dc1856d19', '9cc7f300dbd2b155', '4ff700fcc3295022', 'eb5bb02bc048311b', 'dc4f4eeb518621ba', '542a17e17282b837', '1a8ecd4c1b802e5e', '6d5a7765a9f78f05', '5a33c3fd335205dd', '5e3ea271106a0019', '8323efaeeeb08726', 'f1ad34b317f596a8']; context = [[4, 57], [169, 225], [34, 91], [5, 63], [36, 97], [139, 191], [122, 161], [53, 111], [100, 144], [136, 202], [0, 52], [18, 69], [61, 125], [34, 79], [106, 172], [0, 65]]; loss = 0.026671 low_pass_filter = 0.300
+Epoch 0: | | 27949/? [4:24:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 27950; scene = ['9c25ee4f46798ae9', '19e4099bca2284c0', '8c85cd940e96a8f2', '937f9ed4b562932e', '427328181e023875', 'ec5ef47511b66e35', 'e8ecd0240deb2bd0', 'eb1b241272b2c46f', '4cca3aa5a2cd7fb0', 'd45240b0a83dcb36', '284bcc67f23bea0c', '70638243a3ed7d8e', '997656bdb430ad43', '89c03784240911c9', 'a24b9835a33fb46e', 'fda481eb3ffc890e']; context = [[3, 45], [18, 80], [39, 88], [29, 86], [6, 45], [32, 93], [9, 66], [14, 86], [35, 74], [1, 42], [0, 48], [57, 111], [5, 65], [28, 86], [16, 81], [27, 72]]; loss = 0.021567 low_pass_filter = 0.300
+Epoch 0: | | 27959/? [4:25:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 27960; scene = ['fae9b997dc3b0a5e', '445e1eadbba4a937', 'c6d6dd016b445805', '0297b7e5a6fa3c7a', 'a346eadd26ed026d', '2cf78f93fd569aa1', '6ea3d65172c1d466', 'b933b6a20e0ac3d4', '30b1dee06a1096f6', '75e4c220d6d76291', '63341a860ea3a43a', '7becd7ae1330e9e0', '76e44cf6b5658b26', 'bb2afd35d6f8a765', '24f7e93de4e8eb86', '51b6e63c903275b4']; context = [[1, 67], [180, 222], [28, 68], [39, 101], [13, 84], [64, 137], [1, 40], [21, 62], [43, 96], [120, 165], [1, 45], [169, 225], [58, 130], [120, 176], [1, 47], [0, 57]]; loss = 0.025338 low_pass_filter = 0.300
+Epoch 0: | | 27969/? [4:25:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 27970; scene = ['cbf08a650761cb10', '57fea3ba60e21f7b', 'd3e34d281b05cfbd', 'e910143115e8ed0a', '3dc16d11b753e652', 'bffd28466912a768', 'da047aebfa3fa3e2', '38701953a4bda3e8', 'b612e989a2406b4b', '25e9ed466c1826e3', '641609080bcd49b0', '7b86053e49f7f783', '92521846f436b2c1', 'cfd49a8723e2f1eb', '7ad8fd93e67cf7b6', '6ff8cb12afa0335a']; context = [[76, 116], [68, 127], [121, 193], [20, 63], [186, 258], [0, 45], [26, 78], [152, 200], [10, 71], [49, 121], [58, 112], [155, 215], [11, 68], [147, 191], [20, 83], [166, 216]]; loss = 0.029530 low_pass_filter = 0.300
+Epoch 0: | | 27979/? [4:25:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 27980; scene = ['5df5c5216840766c', 'a78affb518c2e2c2', '75cfeb226b47a5a1', 'dee435320ceec344', '4dd9c5fab7e6ec75', 'f8a68e1e4a265f57', '3f0cf2bff697d8cf', 'b3c2eaecfff1ccaa', 'a58bd21f7b45e7b5', '0c0cebc8eb795c08', 'c260ecbf582b8dca', '8fec1e2289d578c4', '468e9fdaa3224fce', '42f3b9aeb02f45e7', '8ef99dcc873d0615', 'a17c5f509a4519ad']; context = [[3, 46], [5, 67], [43, 106], [92, 148], [50, 93], [12, 85], [7, 58], [0, 48], [25, 84], [42, 92], [101, 153], [54, 98], [21, 60], [8, 57], [0, 66], [7, 51]]; loss = 0.028170 low_pass_filter = 0.300
+Epoch 0: | | 27989/? [4:25:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 27990; scene = ['aed4ab886e0a61fd', 'd7903991af942879', '5ded278c1683c103', 'ed6a7c0d24b57a50', 'e382974068595e36', '420a8a0e49338cd3', '9700e1ed86283bf5', '56ee1e154f94be42', '533d3cbe564e7cc7', '50c989c75b0f7157', '6ea7fd0421e373ba', '2681fbebf1e46140', '1451955eb30abd6b', '670b9bea39ffbfe5', '182ddf7fbc64272f', '839cd3f1b83a55c8']; context = [[29, 90], [111, 178], [13, 56], [57, 112], [181, 240], [143, 216], [4, 46], [4, 44], [10, 63], [19, 63], [0, 52], [137, 198], [1, 62], [196, 262], [13, 64], [8, 48]]; loss = 0.025729 low_pass_filter = 0.300
+Epoch 0: | | 27999/? [4:25:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 28000; scene = ['aef468834942aa86', 'd26c085c6b0272e2', '43cc195276cf0c56', '469dea2a027fbf29', '1dc21884784fde0b', '55a7b7aaa624c8aa', 'd99bc927fc414c61', '82c18870fae1c1d4', '4714e4012c55f466', 'a5d0ef34f899ecab', 'ca7a9b0af8757d37', 'ec9c2a32d19bdf0c', 'c3cec39b97315eef', '9c350ab081d20885', 'ab9129e394e44ed8', '5ed97c63db29a026']; context = [[6, 74], [161, 208], [66, 133], [1, 64], [81, 145], [12, 61], [114, 162], [6, 48], [49, 92], [108, 179], [25, 65], [30, 73], [38, 97], [42, 99], [0, 45], [14, 71]]; loss = 0.030201 low_pass_filter = 0.300
+Epoch 0: | | 28000/? [4:25:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000validation step 28000; scene = ['ee449870b417dff7']; context = [[3, 65]]
+Epoch 0: | | 28009/? [4:25:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 28010; scene = ['e5406e09b4bd291d', 'a2a4bb9b88e3f271', '3421821e39949234', 'e3163ed6369a0cc5', '61e3f2a90af611b2', '3354fd1e4ed18583', 'a0d4bb61c90ccebd', '1562c1508e0a378f', '1d4591ce88e519be', '4c047689861d16b2', 'df984cc069d0f1ec', '3c00ec04c71aeef8', '56fa56169dcf0003', 'ab4eb07b5cd0708c', 'd50b4d4c514705ec', '6359256a9dd57b08']; context = [[44, 95], [28, 88], [60, 130], [15, 81], [58, 103], [105, 159], [44, 86], [170, 243], [7, 68], [21, 87], [59, 118], [7, 71], [38, 104], [131, 190], [93, 134], [93, 143]]; loss = 0.024719 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 28019/? [4:25:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 28020; scene = ['22b92b810ad7a1b4', '8dff4d80838a3bcf', '1026df919a619aed', '54d2baaeaa94322c', 'f6297b2f440c2956', 'b8fe4b85fcecf9d0', '4f8e69fe96def529', 'e62c24d01f556d50', '0a86a38b52a3dcfb', '30a8818fbe0217e3', '84379435bdb46885', '7835372c86179bdc', '6d0a0b30098ba6da', 'c12b83aaf595fd1e', '5e6a441cce57df41', '08788b42778402de']; context = [[2, 72], [19, 77], [198, 249], [3, 57], [57, 108], [131, 198], [10, 72], [18, 57], [21, 90], [1, 71], [51, 103], [107, 176], [17, 72], [105, 149], [29, 71], [6, 67]]; loss = 0.026567 low_pass_filter = 0.300
+Epoch 0: | | 28029/? [4:25:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 28030; scene = ['79b03c6de9570195', 'f8e31bdfa5062680', '24545052613dc153', 'de552e2c5d1182db', '20e047bae95523df', '3e8b48b14798f1b9', '83421bce3bf38f91', '13fdad4079bd4b9c', '643c59587f0c6ace', '774bfef93b3553c4', '17520c287d5e4c23', '9be9d1c48355daf9', 'e3267e9b09ec78be', '08659bc98e27705f', '9bc1c2f13f879d20', '629e4849c3d26620']; context = [[93, 146], [44, 87], [0, 70], [46, 115], [12, 55], [156, 218], [0, 39], [8, 51], [2, 70], [90, 139], [3, 70], [1, 40], [19, 76], [43, 100], [4, 49], [39, 95]]; loss = 0.024939 low_pass_filter = 0.300
+Epoch 0: | | 28039/? [4:25:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 28040; scene = ['780fe09fe9a13e58', 'b71c6ef47553b7d4', 'b9f3719f5c56510e', '7c33974e393d64f4', '1deb23885f70a8ec', 'b8ad1d63790b5941', '9ac0d7465ed4324a', '37f7b1641c315933', '8332567ce1e76878', '970254d42af05e7d', 'f169545e99771a22', '09728c36d7caf6eb', 'fe74e8b09f280965', '451c76fc9212f2cf', '8fca99d8fece5af4', 'fa82dc63ae8f235b']; context = [[61, 112], [70, 111], [19, 79], [194, 245], [44, 107], [16, 64], [0, 44], [57, 113], [3, 42], [41, 91], [17, 58], [7, 50], [8, 67], [11, 59], [53, 98], [68, 115]]; loss = 0.026418 low_pass_filter = 0.300
+Epoch 0: | | 28049/? [4:25:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 28050; scene = ['34037b62eef60172', 'ed9e66511e6dce90', '9df62c48e94a6bd2', '27df9ee1be012ff1', 'e0c4d841d11abf19', '46fba2ccb0c2f48e', '4b21bbd8f66c660c', '547435e53b6b3cb3', 'fda12c961edaa2ed', '0eeacc044d6356aa', '8b6c25d98b699b6d', '3de0aa44194c37c7', '9a53d1c17fe9886e', '79ed99e48b88be06', '891618b015a26c95', 'c79455fedb06f07e']; context = [[2, 53], [0, 44], [14, 54], [95, 152], [35, 101], [182, 250], [9, 70], [5, 67], [84, 151], [108, 149], [24, 82], [41, 113], [13, 84], [33, 90], [170, 238], [48, 104]]; loss = 0.025317 low_pass_filter = 0.300
+Epoch 0: | | 28059/? [4:26:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 28060; scene = ['8efaab78c3e2388e', 'e658243703c9a718', '5dd1c7fc822c0b3f', '85e1e791eaaaf4a9', 'bbaf39151b2da748', 'baa5664b5ea5348e', '34ba90ddf627908b', '86f694603e158bb4', '1ccbb12d8c77d39d', '212f736c5bd2cba5', 'c17f81d64774f6bd', 'f0a58c7d4fed3a88', 'a43bc11aa6cce69b', 'd2fd75964dd722b1', 'd5e225a84aef24a7', 'd1076443c11000db']; context = [[69, 119], [192, 253], [18, 69], [63, 130], [4, 52], [9, 48], [8, 70], [123, 177], [2, 73], [117, 181], [94, 144], [80, 150], [83, 148], [11, 57], [176, 226], [16, 56]]; loss = 0.027781 low_pass_filter = 0.300
+Epoch 0: | | 28069/? [4:26:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 28070; scene = ['6d76c97f029b15d2', '7ff72e90b288f74d', '9e6040ab910d4988', 'a0d5c4c33f29840d', 'cbed5c1d109a9f28', 'b35d918ee69ca3c9', 'c13f63c3117b1110', 'e99c232259b6ef25', '0d85066629d4af39', 'efec3f2a2becbecd', '977dcf6e0fa9dbfa', '66d888e3a0507d21', 'a04642a7533b8a10', 'ca9924ac3f58fab4', 'fb1f8c90a89e8d43', 'a640aac400f82523']; context = [[0, 42], [94, 164], [131, 178], [10, 64], [20, 88], [92, 162], [69, 115], [114, 155], [128, 194], [33, 103], [36, 107], [58, 103], [11, 66], [82, 142], [63, 131], [10, 65]]; loss = 0.032698 low_pass_filter = 0.300
+Epoch 0: | | 28079/? [4:26:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000train step 28080; scene = ['81c70e9ef4cc4b19', '09ce74a8f4a80e29', 'd2d1e88def2d5190', '40da5b52f6446644', '05bbc9909ddbc3b7', '12896094012ead34', '0cde44f566b2a805', '8d892e1664b77b66', 'e44d8ddd3535688a', '7635a7d77f3d9430', 'dfb7bad8245ffc20', '11a11baafff47174', '5cc5a65c5d2b03ee', 'bc2a7a37df0cdb53', '661d465e98bec126', '8d5fbc21f528902e']; context = [[10, 50], [16, 76], [6, 73], [33, 104], [127, 197], [82, 148], [3, 71], [134, 191], [1, 71], [119, 191], [152, 211], [15, 61], [7, 49], [120, 184], [19, 78], [41, 90]]; loss = 0.026069 low_pass_filter = 0.300
+Epoch 0: | | 28089/? [4:26:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 28090; scene = ['ab4b384f7cb7f24b', '02b2ea54d6cf57be', 'f48f11c8b6fca413', '0e993fce1ec5e3b0', '6a058519956239d2', 'e02e87df15575cae', 'af05da9be7d6a571', '255998558abc7172', '482411a57b1a83f0', '357c34539592a013', '28fbb291c0ee869b', '4fdab020b0b1455f', '2bf2d66d87db5178', '20e8b08c2473d308', '13a1b330d7a46e0f', '9adb745c741c85e0']; context = [[7, 66], [22, 85], [11, 81], [33, 94], [27, 70], [13, 76], [1, 72], [50, 97], [30, 75], [188, 257], [12, 58], [0, 39], [70, 123], [21, 84], [80, 137], [40, 111]]; loss = 0.026569 low_pass_filter = 0.300
+Epoch 0: | | 28099/? [4:26:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 28100; scene = ['51867713f952190c', 'ea0d6a4426f69bcb', 'e44f5c6ad96bacbb', '3aba94892a572bda', '976589e1e037f256', '99cccaa6de050ae8', '25afc625ca2083d0', 'ac47a40506588f1c', '035796a705648437', 'fdc5a4c97ea35db5', 'f64be4d4702419e9', '6dc932b8fa9e45e2', '61152f7f13e6ca70', 'b24f0b89fe81c75f', '17b2462794fa1870', '82b6af2e5c53c6a5']; context = [[17, 56], [9, 72], [1, 74], [38, 78], [142, 187], [106, 152], [10, 67], [26, 83], [23, 94], [14, 84], [4, 45], [7, 67], [46, 92], [5, 69], [24, 86], [44, 91]]; loss = 0.026331 low_pass_filter = 0.300
+Epoch 0: | | 28109/? [4:26:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 28110; scene = ['d2b1b93dee94507d', '5862391ea26da3ea', '1fd04b3b726fc68a', 'b72d9fdc671b2e3f', 'ece5216326fa2f72', 'd637df47561724e7', 'b27550ce7b33d218', 'e4d69e87d73f574c', '012019df6ff17e30', 'ceae0d5fe00411b8', '103ed44996e0eb26', '502168dc460bc1c7', 'bfcb6064b910e923', '40e8811702f8437e', '9b91c8500421d562', '5b38600054300759']; context = [[88, 152], [4, 51], [66, 114], [0, 44], [3, 70], [13, 80], [22, 90], [37, 97], [6, 45], [1, 69], [38, 94], [26, 72], [48, 88], [17, 58], [1, 73], [4, 67]]; loss = 0.033017 low_pass_filter = 0.300
+Epoch 0: | | 28119/? [4:26:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 28120; scene = ['1a2e563e6ba8087c', '0d887d19d7212540', '7875a6298c422059', '47261f4c960af669', '29eb7537903248df', '865f1084bb5394ac', 'c0cd96efb97299af', '645a8988ce8fde03', 'd550977e6ab72e54', '4de4d4cc91401422', 'f7e299ca7ccbc897', 'f0ec6fde32d852f4', 'e125136b4495509a', '6b76cc89f4505af8', '92747265b0111abb', 'e51df845689c6cb9']; context = [[127, 177], [12, 57], [173, 244], [56, 121], [11, 61], [8, 72], [21, 68], [32, 82], [192, 252], [167, 223], [114, 153], [159, 214], [106, 147], [0, 44], [191, 238], [109, 149]]; loss = 0.025820 low_pass_filter = 0.300
+Epoch 0: | | 28129/? [4:26:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 28130; scene = ['6a213cce77d61634', '97e0f30c6b35264b', '8694a025d8c18e3c', '18cd6ab71c2fbe6c', '8b052fd18b3b7c20', 'b2288bf7003d5d4d', 'dcea7253ad4502ec', 'd3f720cb5f3a67a6', '60d296908f43a97a', '7600a735405a9ed4', '4f7381df99227904', '209d65e786784b86', '15cf3ed7934403d8', 'c1b47e97d4900463', 'c58536994138fae3', 'b8bb5814af24dd69']; context = [[5, 44], [114, 165], [17, 73], [42, 82], [4, 58], [102, 167], [26, 95], [135, 202], [5, 70], [13, 59], [2, 63], [21, 69], [45, 114], [81, 120], [13, 82], [3, 73]]; loss = 0.045902 low_pass_filter = 0.300
+Epoch 0: | | 28139/? [4:26:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 28140; scene = ['86501c30562af92e', '07f09a928375d0c6', '413118d49090df43', '5ec51c185cd463fd', 'c687ac8a9b77d0c1', '7e8c18270178b225', '51cf713bb5c710cc', '5d128926c1792da9', 'a329004f4d0df0c4', '45c50be0ced34217', 'c15c9a0f2ad3e52d', '950ef5f76a91373e', '9bdb078481fe6346', 'b1dbb5ecb3d46dbf', '8418904f8ae211a7', 'e97df4a241db1eae']; context = [[37, 96], [82, 146], [14, 79], [87, 136], [73, 116], [0, 42], [6, 64], [14, 73], [30, 72], [7, 76], [33, 81], [40, 103], [15, 80], [39, 90], [1, 71], [30, 99]]; loss = 0.024736 low_pass_filter = 0.300
+Epoch 0: | | 28149/? [4:26:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 28150; scene = ['6dfaec91f745fdd9', 'da9f2aca4d24cab5', 'c0be824295e236f4', '44526aff7a06e57d', '94751d76c97a7d69', '31b931e3aae9d5c6', '8c22464dbf4d6c4e', '62ea835ac27ba01a', '386cec7e6824bda4', '7f6fc86af3083f99', '1a792e938e678905', '22d2a59f9448e245', '63fd8edc31308859', 'd4dccd059e74d18e', '19d9f7d0df4c4c66', '26a7190fce68539a']; context = [[2, 45], [17, 68], [35, 90], [88, 130], [48, 117], [0, 42], [118, 160], [55, 95], [71, 136], [26, 78], [1, 64], [80, 139], [29, 69], [4, 77], [2, 43], [6, 79]]; loss = 0.030474 low_pass_filter = 0.300
+Epoch 0: | | 28159/? [4:26:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 28160; scene = ['0b15419859947894', '232777ce6c9eabc0', '7d900c809e896e32', '7a471a0c4fed1464', 'c0740961ddca5c98', '14032e27d5868321', '7ee2c0f45d7cb0ac', 'f28bac496ee97345', 'c1397ab617a28acd', '5176c714d2e72855', '59e7800dec3fa9f5', '3ad7fc9a83e3e883', 'ed1cd4f9d797bde3', 'a5bcf7c72eb10c48', '0bc0b77faeecd0cf', 'a21a873df22a9b33']; context = [[86, 155], [21, 70], [112, 163], [136, 192], [19, 80], [66, 111], [6, 77], [7, 60], [32, 100], [0, 47], [147, 198], [0, 42], [69, 135], [83, 136], [178, 238], [0, 40]]; loss = 0.042663 low_pass_filter = 0.300
+Epoch 0: | | 28169/? [4:27:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 28170; scene = ['41e08ecf051c989d', 'bf1749022f7b7fc2', 'e12052e072f87208', '65a00341f349f76e', 'ab5d20183d26c933', '93c37a52bd208be8', '1e4f512b8bd2b62e', '1e8a9f8690b19a68', '4678ea8c4e38dc75', 'e86f3498eee85503', '5ed8d48ab5727bf8', 'adf57d46b95f852e', '7f1751104002d662', 'c339230117f57503', 'b2d24c1225a9eb5f', '41558fcac4c12867']; context = [[0, 59], [9, 69], [0, 40], [17, 67], [56, 102], [160, 217], [17, 59], [37, 103], [21, 77], [2, 42], [9, 75], [33, 98], [0, 71], [6, 73], [3, 65], [31, 83]]; loss = 0.027523 low_pass_filter = 0.300
+Epoch 0: | | 28179/? [4:27:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 28180; scene = ['da595021fea9f85d', '4c40c57cb20e6920', '7e298b879dc6b10d', '2de9e39deb77c039', '3c99b5451264d6aa', 'b5d0e2112b26d659', 'd8abb08d528ae88f', '3e3ee1f9aa5e1c5a', '58da510f517858b6', 'c172fefa8dfaec4a', '41b9c051d5df7dc0', 'b0fea728bc83b595', 'd0e2b5d6dcaeff7c', 'cbc2831917a97cb8', '78b694e06349d124', '9e233268774cce82']; context = [[34, 98], [0, 45], [61, 107], [25, 65], [1, 41], [52, 107], [3, 67], [47, 101], [52, 107], [30, 86], [1, 61], [34, 78], [30, 92], [38, 92], [7, 47], [1, 65]]; loss = 0.024940 low_pass_filter = 0.300
+Epoch 0: | | 28189/? [4:27:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 28190; scene = ['9af5a605a4972f99', 'dd32077f4f08dc69', '89cab77e306665b9', '9ac5d573346e3f0d', '091b5bbc880a6437', '401b203197086104', '0ca6052024f0dfa9', 'd8b6c6f00773941c', 'debfcd0facc08e74', 'df7f09e925d52823', '373c334353542c1e', 'bf3af518a9d57ab2', 'f7066db19ea7dde5', '0c99f06e8b5bc9fe', 'e19f322390d2dd64', '312e16d4b4b9e990']; context = [[16, 65], [71, 127], [3, 65], [4, 57], [25, 67], [3, 56], [21, 78], [104, 148], [23, 70], [2, 51], [134, 195], [44, 109], [177, 235], [0, 63], [57, 102], [23, 78]]; loss = 0.024692 low_pass_filter = 0.300
+Epoch 0: | | 28199/? [4:27:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 28200; scene = ['2e9290d74422ecfa', '1d885b5bf6000744', 'c0ee81f4dcfffeeb', '3aaa39b2d1fc8853', 'a997c1ea8d8b3557', '25507a5d451e4b3b', 'ba63c9bf12e48a01', '7df5dfcb4c9f5e24', '264bb76b06bac802', '244eda7c0944fa1f', 'ebab6115d84e38f1', 'c90f01f360645e27', '61944f66d6b0c7b6', '140ec322ea5a197f', '31c7ca382b4cf406', '2cf9926a578c2784']; context = [[25, 93], [10, 65], [82, 142], [7, 79], [64, 131], [71, 119], [1, 44], [30, 93], [131, 197], [156, 223], [4, 46], [95, 142], [8, 70], [224, 265], [71, 117], [36, 89]]; loss = 0.024935 low_pass_filter = 0.300
+Epoch 0: | | 28209/? [4:27:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 28210; scene = ['9055041789f01a42', '5ed75ec6df343f5b', 'e5da5035d5cf1047', 'd8e1cd667f0c5721', '1d260e4bebf2c0e6', '3834d878ae1525c6', 'a2012fea65fdb1d1', '9573c6a7df41a123', 'a0f9a5c04c8e602b', 'bd64124de2aaeb79', '3c60078735491108', '2cf102bb6b9d37e8', '40f122a087305b92', '1825e5c359626746', '027f46042d62d8dd', 'd937fa8f6202599e']; context = [[3, 47], [2, 46], [30, 78], [6, 68], [106, 159], [37, 77], [20, 77], [14, 58], [12, 71], [9, 63], [101, 172], [53, 95], [80, 152], [32, 72], [38, 108], [18, 59]]; loss = 0.027546 low_pass_filter = 0.300
+Epoch 0: | | 28219/? [4:27:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 28220; scene = ['3a605cb3495eb9c7', '33d44d22ca5117fd', '7dd4d8b4dc082dd4', '482b604002f1a227', 'fc4e64a966b2af97', '3f62f46c54c21cf2', '23d89b926a4e9ada', '42a3daae34acb6d0', '819b6af73885034e', 'b8e76ea0476fe482', '53a8bb87641bd35b', 'ba67f70b5b0ec072', '829dee1b037f367e', 'b077b634286dbbe9', '3f99cb9bcafde8fe', '22883477ff44a8d8']; context = [[65, 107], [9, 53], [3, 53], [24, 88], [75, 136], [2, 72], [51, 111], [7, 65], [19, 70], [6, 64], [63, 123], [87, 148], [38, 101], [4, 63], [11, 81], [38, 108]]; loss = 0.066293 low_pass_filter = 0.300
+Epoch 0: | | 28229/? [4:27:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 28230; scene = ['30ef5f553648df47', 'b7c32200b00161bb', '54c8e9c778b2fad8', 'b32de1c311763e38', '902098b9bb42414b', 'ec680845c6a7295c', '6aee2575a2c97d19', '66711c996dd1e5c9', '23b48c0014ee6697', '38d35ba6f17e9d95', 'f1f9d16552e2462c', '8a84743315deacfc', '6357d52b51177465', 'c8711a7856dc0419', 'cafb23530732a111', 'e6decd3548cf13ca']; context = [[2, 52], [59, 104], [46, 108], [34, 84], [20, 85], [15, 88], [56, 107], [1, 47], [21, 90], [6, 73], [11, 52], [3, 66], [49, 106], [1, 46], [0, 44], [39, 103]]; loss = 0.025821 low_pass_filter = 0.300
+Epoch 0: | | 28239/? [4:27:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 28240; scene = ['9017942635379a68', '5171530b8fb8dec4', '276adc2b47826979', '03e725043bbd34f9', 'cd2d0358c4dea897', 'da4ba27d74469198', 'b5550b977904cd1f', '6db759d88e9613bd', '3c5994c8cfae8ae8', 'd0e191889f83b0b1', '0c857bd5980325a9', '8a0a3c7df6ffbd82', '8c2ac0b557c918f6', '6c26fceb2ceeadd2', 'bcc9490e754b8b01', 'bfd986961df4d711']; context = [[2, 45], [74, 136], [11, 73], [52, 120], [60, 109], [19, 90], [21, 89], [2, 64], [13, 57], [0, 50], [79, 143], [16, 78], [3, 63], [49, 101], [0, 40], [8, 52]]; loss = 0.033153 low_pass_filter = 0.300
+Epoch 0: | | 28249/? [4:27:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 28250; scene = ['668921a5f8dc2216', 'f935d6d91d6b740e', 'aef8722ceedd6c5a', '954ff8679dd88e9b', '1af546eaa729cc82', '56bd38a5cce7b138', 'bc4e4c72bee6fe49', '903811649da7395a', 'dad6bfb8b50afd08', '07eec8f5879afb07', 'df06aa23127e2ee6', 'edb1bfd370d7c89d', 'c197acc6fde0dfcf', '07dda1bf6f120ed9', '97b3f4269263d4ac', '542a67b1e982396e']; context = [[71, 126], [39, 93], [48, 94], [73, 115], [33, 96], [124, 182], [10, 54], [21, 79], [69, 142], [17, 64], [2, 52], [33, 104], [32, 74], [9, 54], [21, 70], [86, 137]]; loss = 0.038214 low_pass_filter = 0.300
+Epoch 0: | | 28259/? [4:27:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 28260; scene = ['49724c9c6be2c390', '0ff53893f963e0e8', '3af88c2e2d9c4bed', '4e89b15dcdfe9fbb', '4b15e91bf9750b0b', '627941d7ef713bc5', '0ffbe51291e5c9e5', 'd6418df5f58db120', '7b22ac58746f7338', 'e3a0600c1b12486e', '73d16e2f8049cffa', '4b6ea7c9165dd9da', 'a0487074d86da11b', 'e799d433cc4178d0', '7eea653ff7370052', 'c2d9626e25b514d2']; context = [[21, 75], [0, 69], [52, 111], [82, 128], [5, 49], [5, 56], [10, 63], [7, 65], [19, 59], [81, 131], [21, 76], [39, 92], [25, 67], [42, 102], [35, 75], [60, 101]]; loss = 0.029126 low_pass_filter = 0.300
+Epoch 0: | | 28269/? [4:27:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 28270; scene = ['41258160de3b9847', '310afc09b784c10c', 'a83f3746a11e572d', 'e96a40a434e0b83c', '2ba4ac8ad33f2604', '6c86fd352266b6f4', '7570e1000b6f66a7', '1b96b29b59396413', '2d9ad09dfbbccc5f', 'ba232d0f3f503f0f', '9a29fa848914f19d', '817b24f92f59bc4c', '7458f03e246c41e7', '6984917885b4951e', '88901f973fdc0784', 'eac388c09cb28b6d']; context = [[75, 143], [30, 93], [45, 88], [4, 70], [149, 189], [10, 52], [21, 72], [34, 80], [177, 236], [7, 64], [31, 71], [42, 95], [9, 52], [203, 253], [29, 71], [6, 62]]; loss = 0.024930 low_pass_filter = 0.300
+Epoch 0: | | 28279/? [4:28:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 28280; scene = ['4431835cd413e5f2', '8e605b91a9717648', '0e72cd138b93788d', '0eedfd3367866a18', '9720a52405835b98', 'b3a83fbbb2c0b81b', 'db97b11381863147', 'dd61e223f3c5ea1c', '332db302db18a6b1', '244c5fecb741efb7', '58fd1e2aa6aa30fb', 'aeba0e80ade27c60', 'cb17ff92309f6c21', '7c7cdad9ebdae004', '5c3db71b307c043a', 'e327aa8d28ca11d0']; context = [[116, 188], [29, 88], [206, 269], [14, 86], [38, 84], [5, 74], [42, 97], [65, 112], [34, 76], [15, 77], [11, 62], [40, 94], [0, 73], [160, 201], [0, 40], [101, 146]]; loss = 0.023624 low_pass_filter = 0.300
+Epoch 0: | | 28289/? [4:28:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 28290; scene = ['59d846a6e78d4bc2', '8c6f7e59d3af0de8', '26e8ba5de6755f12', '29e0312194a1f641', '87e0cb1574aa4288', 'a3cf2c1a182a2d0e', '15514fa8651b5365', '81cf0f3c0e0e0419', '8068133ed588228e', '23f0e816937d2f10', 'c725b2fd03d22b0d', '488f39c1a5278615', '1530900920c69548', 'aba0882649576542', '6c39921ab0917e6a', '5b57c8f60507e639']; context = [[55, 106], [13, 79], [1, 63], [28, 71], [4, 62], [27, 88], [14, 83], [15, 67], [32, 93], [28, 68], [13, 80], [151, 220], [153, 198], [0, 41], [5, 68], [5, 56]]; loss = 0.027190 low_pass_filter = 0.300
+Epoch 0: | | 28299/? [4:28:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 28300; scene = ['2164f88c646772cc', '093cd19c2092f76f', '2160ad9e7ad6c76f', '71f5c48a0eb24033', '2051fd8a3c639b9e', '493ff377d55d79fd', 'd26fdc78269b53b1', 'b2dd9639336d0fd6', '2aa9e62630f3acee', '045934369f1fc08d', '0d036f88d76b0d2d', '68c242b83de652e9', '50f5f0c69d553bb4', '209340b412818760', '524457903526954d', '0664e3c7282c54cc']; context = [[172, 223], [131, 188], [35, 75], [23, 78], [20, 65], [0, 42], [75, 125], [61, 107], [38, 84], [200, 272], [21, 82], [10, 56], [18, 91], [15, 63], [4, 71], [6, 57]]; loss = 0.027593 low_pass_filter = 0.300
+Epoch 0: | | 28309/? [4:28:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 28310; scene = ['8da64ec7f57f52bf', '1c398feb4a695f6d', '8876364a9d69559e', '9c61596b022e98b7', 'e87bf717d10bca24', '75d497fb2e7678aa', 'fecafd63a6934d0a', 'b118cb6e30400e61', '9f85e10629380769', '0e5516c533348db0', '9c084660b5cdc745', '4c3e925c21587058', 'da274c0e6e23f8ea', '558bb65bfbe54320', 'a4a2397604930cf7', 'e6be807f7579f977']; context = [[2, 68], [2, 54], [93, 155], [8, 65], [6, 47], [235, 275], [49, 117], [23, 67], [28, 83], [47, 108], [6, 69], [98, 147], [2, 49], [32, 86], [7, 80], [53, 125]]; loss = 0.023480 low_pass_filter = 0.300
+Epoch 0: | | 28319/? [4:28:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 28320; scene = ['8230269d5694b850', '09f447a82910d9e2', 'eb3d4493eabc70ac', '46bd6ac81c2ca6bf', '0f4bb16169333817', 'ea83dfd340855fc5', 'f4f078781be5bf1c', '58e75e2b5b11725e', '51504900fa03f469', '17d579cd9c3c11c6', 'b9b83ef31222c2ee', '758ae82607fab1cf', 'a5f88d386483e9c2', '208e267f234ea686', 'df54544af0cb2814', '7c176d9aef38ada9']; context = [[28, 84], [30, 99], [51, 94], [16, 86], [8, 79], [38, 84], [227, 272], [122, 167], [8, 56], [26, 96], [28, 69], [85, 132], [97, 150], [219, 278], [60, 112], [83, 149]]; loss = 0.025598 low_pass_filter = 0.300
+Epoch 0: | | 28329/? [4:28:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 28330; scene = ['dc7a6b51dfb7f530', '39a06c94b613e43a', '69c57d1bd4dac8f5', '9a869f7ea35c324e', 'e148a4e5bcea5361', 'bb1a0e2ecd0a6e59', 'af6ce8811b0fc9c3', '8912e1cff2c4c8b0', 'b8def593319c324b', 'b7e7f5382a76e83b', '8268a5b551dafd3f', '95cbcd8e14ae6d66', 'c3f52f7d45615331', 'c9ae259a9b9dac38', '59c9d05c6c1dbcf5', 'a4cff836fec7e675']; context = [[226, 273], [10, 84], [39, 112], [106, 176], [15, 69], [37, 78], [138, 205], [133, 184], [59, 122], [0, 43], [63, 104], [118, 180], [14, 73], [87, 129], [29, 95], [28, 97]]; loss = 0.023387 low_pass_filter = 0.300
+Epoch 0: | | 28339/? [4:28:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 28340; scene = ['b3f2183a0220f98e', '56de1091c01be96c', '2dd4348bf334f7f7', '37cc00c2e4737bad', '5aeaeafd68cb9158', '347d7c1f3516f732', 'b583f64a01c212f2', '209aaf944169c4b6', 'd6fefe45e58fa3d9', 'f9d09b2e4cbfdfc0', 'f9e12227561addc6', 'a806813b8428527f', 'c2a6826b4e13e5a7', '7e54b2a98ef2fa85', 'ee0377f272672b8b', '386ab02cdb228dd8']; context = [[18, 84], [3, 43], [58, 111], [8, 78], [113, 180], [2, 60], [9, 80], [5, 63], [68, 120], [2, 68], [24, 81], [13, 82], [5, 69], [6, 73], [12, 82], [109, 160]]; loss = 0.025677 low_pass_filter = 0.300
+Epoch 0: | | 28349/? [4:28:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 28350; scene = ['c2162040f6db4d2f', '86200c7934e48f9a', 'e48be695530a9bf6', '58bd756bebf66e0c', '2c1299d0841d07dc', '3a9a316b8350771e', 'ba4bc50f3e101be7', 'b83523d5a6b0de8d', '7e1f1a8ea0462d91', '724698b7bec91b99', 'f7d43d1337bc64ed', '1cea80a14693313c', 'bdb981148d4f5ab9', 'cc75b5eb8a2d1988', 'db251a028af1064a', 'c47c30ee1d3f549f']; context = [[45, 100], [120, 194], [0, 54], [8, 53], [191, 232], [7, 80], [84, 131], [8, 71], [55, 127], [4, 57], [8, 66], [72, 112], [8, 52], [83, 143], [27, 93], [2, 71]]; loss = 0.025843 low_pass_filter = 0.300
+Epoch 0: | | 28359/? [4:28:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 28360; scene = ['c902db04aedf721a', 'a44d6979b3bafcce', 'f47283447b11a0a4', '229a78770f9e62ab', '63530ed9d72a8372', '554969e92f0c8d3b', '2b63e3da632073f8', 'ac035b99ac0bda7a', '7e349b36b740950b', 'a94a8b504de6356d', '8c113b4f2a2e931e', '00e61bcdd00f8720', 'ac10481da05ca1ec', 'b05cbc24b074e852', '44992db149230d59', '1af22fa0e408d347']; context = [[4, 64], [4, 65], [46, 110], [24, 80], [165, 220], [52, 113], [111, 152], [17, 69], [228, 270], [81, 147], [82, 142], [145, 218], [21, 68], [24, 78], [2, 49], [21, 61]]; loss = 0.027107 low_pass_filter = 0.300
+Epoch 0: | | 28369/? [4:28:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 28370; scene = ['d94e621b7a95c008', 'd6590efad5308453', 'cc25909697786aad', '7713d909cf7bda4c', '21c70595a4f20e8c', 'd04a28d0772e76c8', 'f5a615c356cab245', '212d92ca9842dae0', '0a543133235ded4a', '871c5356143bef59', '801ab8d734858805', 'd063e47225f787c3', 'e4ba635ef37eef5a', '3a40230e7d49bd72', 'f6569109c3fa7421', '3dcc161252157ed9']; context = [[6, 75], [19, 69], [0, 68], [16, 80], [7, 62], [24, 73], [111, 169], [4, 44], [9, 62], [6, 49], [1, 43], [77, 117], [36, 96], [59, 114], [11, 72], [46, 103]]; loss = 0.032914 low_pass_filter = 0.300
+Epoch 0: | | 28379/? [4:29:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 28380; scene = ['6948d440d6aae7d0', '39953b7377e8fbc6', 'c8af89fa161452c0', '7d08a5d6a3217be2', '7da62d40202eb4d7', '44081a1a9b1b183d', 'c7bea6aa7296c50b', 'a4bfd76bce0d2976', 'cf83070a1af0286e', 'ca1aa5c83f9fd74b', '254d6c6b8f9508d0', '5ecd4f2761d9877c', 'f2685cf241827826', '6be67867ef006e73', 'b13f185b7aa9c6b1', '0b13ca88611e6d29']; context = [[138, 179], [181, 227], [1, 72], [54, 121], [0, 42], [13, 69], [23, 77], [46, 102], [5, 75], [2, 68], [3, 52], [113, 186], [16, 69], [16, 58], [204, 275], [11, 70]]; loss = 0.030931 low_pass_filter = 0.300
+Epoch 0: | | 28389/? [4:29:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 28390; scene = ['854643bc2ff4062d', 'ff086dd3c21198aa', 'beb7827e8dfa81d5', '97c6c6048cab5ca2', '496840a0fe3510d3', '7eae59259910a160', '85f5116d79acb22a', '564437b001139667', '11db2e14d64c1b42', '7850797441a57de9', '51f80353f6008c4f', '72cdd65567fa4c64', 'ac9bbd8efad4b995', '5b7e5ce68733bcc4', '12048355d2052d78', '89a0f0553f7f2bdb']; context = [[23, 69], [13, 66], [10, 59], [67, 131], [2, 73], [190, 262], [68, 119], [44, 102], [201, 243], [56, 109], [35, 80], [135, 202], [29, 99], [85, 156], [7, 71], [19, 75]]; loss = 0.026694 low_pass_filter = 0.300
+Epoch 0: | | 28399/? [4:29:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 28400; scene = ['0400474c688a355b', 'e3baec3d11a94685', 'f5d5cdb2832d4496', '6432570e1a1c49f6', 'eff8b7d918bbe2cc', '062f247f28a18c88', 'a029fa2714aad1b4', '697df23e9f5fb6f5', '95f88ab4932e5ee7', 'fc801406b1f9db3f', 'a92ffea4cbb162e4', '3bb8ca11ff6e54c1', '2735d9182acee2f1', '39f7c76ef42ac1d4', '0f04f8ee8b2396c7', 'da794e5b3ff8bd6d']; context = [[16, 86], [7, 64], [151, 212], [48, 94], [27, 85], [3, 45], [58, 129], [15, 56], [21, 65], [127, 181], [1, 55], [61, 117], [4, 47], [82, 152], [90, 134], [0, 72]]; loss = 0.028863 low_pass_filter = 0.300
+Epoch 0: | | 28409/? [4:29:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 28410; scene = ['3ca8e7f6cb2ca789', '3bb32a3b2180cc43', 'ab3c1a4e030f48fb', 'd29f3650968bcc8f', 'ddc3ee19dc4af964', 'f75944e661151ecc', 'aa98ba648f00f90b', 'a5034705af109442', 'c33b2c3c4230aa96', '7283600069f26aba', '4c4d124d1f671bbe', '46f7ce5962d1e536', 'fd99963ac0e17872', '7482427ddbfafddc', 'b145a55f25369072', '9f9974c348a7706e']; context = [[5, 70], [155, 211], [8, 60], [5, 62], [16, 71], [11, 68], [199, 260], [5, 55], [75, 130], [0, 42], [36, 80], [82, 138], [44, 118], [21, 93], [78, 120], [50, 104]]; loss = 0.026583 low_pass_filter = 0.300
+Epoch 0: | | 28419/? [4:29:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 28420; scene = ['fdd8bff495a35d3c', 'fa0b600ac32f3ed3', 'a4a5f77ac927b7b8', '7bd8732d1c74a211', '4dab27a15daad726', 'b3b7e186efcf48f3', 'c17c8f9dca224201', '810b4b66938d5d60', '2a06f123c668d541', '3ac8f1175e70c73b', 'f07a8be5e54b332a', '36853991baf0f696', '2a10024761431c76', 'b9e587880452c81a', 'bc8eb67c9d7fb4f1', '55d8b80f7cc186ab']; context = [[1, 49], [106, 174], [38, 108], [15, 70], [1, 68], [31, 104], [1, 71], [0, 51], [45, 111], [12, 61], [56, 126], [207, 278], [3, 63], [60, 129], [30, 70], [7, 59]]; loss = 0.027116 low_pass_filter = 0.300
+Epoch 0: | | 28429/? [4:29:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 28430; scene = ['52d5d1869f7823d2', '0cb6c016d1847e2b', '4af1a22dbe5a4dd9', 'eb73f61840088d85', '12df9d7691f772f4', 'a14bdc424dd6451b', 'bbfeedf36bd2d073', 'e695402faeb3ab60', 'ce48d9a911def68d', 'b7abfcf85c78a026', '2e55ab3c0ff07376', 'aad6209cb374086b', 'f728a149ea2dcc32', '5acc2cb4c8cc2220', 'c9755380f559fa04', '5c6ef4865ed51116']; context = [[1, 51], [1, 57], [51, 119], [70, 134], [47, 109], [0, 40], [134, 197], [23, 89], [19, 70], [19, 74], [11, 81], [125, 168], [9, 68], [3, 43], [18, 66], [14, 75]]; loss = 0.031865 low_pass_filter = 0.300
+Epoch 0: | | 28439/? [4:29:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 28440; scene = ['ca0ef4335afc5644', '31c3e0e9d2403cd5', 'c82b6ddaa61c4351', '38cb72f45726e75e', '23a56f1e69fd6165', 'a16a0940ea913a28', 'b8f7484d344eeda0', '41afb11f5185a7a5', 'a007a9915e619f8b', 'a0a53f68abe200db', '0a004eb4d08f31dc', '4ca3eaa982403fcc', 'e0f556cda31cd789', '7dfb75974e20d9f6', '95f2be7bb8303f50', 'b4e9a9bf77f35701']; context = [[44, 92], [31, 78], [4, 48], [35, 89], [106, 178], [58, 102], [6, 49], [4, 64], [23, 66], [9, 82], [37, 77], [29, 70], [105, 162], [42, 92], [40, 102], [32, 81]]; loss = 0.027508 low_pass_filter = 0.300
+Epoch 0: | | 28449/? [4:29:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 28450; scene = ['4a522e3328a9050a', 'f6ebe060ddd2c379', 'ab895ad7d4ab2024', '657d182078d67346', 'b1d86a9f37d6f632', 'db5d3693aad765cd', '20e541000529f09d', 'fdb2dcdaf08bcf23', 'b86e04af018970b9', 'd77e95065c740393', '03e06c2a6e1c1708', '232e85250de4fc24', 'c999a1922a53c7fd', '03f22e694d8895e9', '7c8d84ba7289a65f', 'cee0290238ec48ae']; context = [[32, 84], [5, 72], [70, 117], [8, 78], [99, 152], [5, 62], [0, 74], [14, 60], [3, 58], [3, 61], [13, 74], [169, 225], [5, 45], [35, 100], [61, 134], [9, 69]]; loss = 0.031428 low_pass_filter = 0.300
+Epoch 0: | | 28459/? [4:29:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 28460; scene = ['ac1189c4dc68fb2d', '83c73865f19da6b9', 'ba88bafc439f3256', 'fd1ec3e7d1725c17', 'e91ea9998edd1a3e', '053b8c046d8990e3', '3bd30fa6d8125e35', 'd008f5d618fc4673', 'fba4e3544c47c1a7', '65cb094aa58e64f7', 'aec37c0c07847354', '74a8f11d5d29aab0', '9756ac0316805cff', 'ae2494640cbc0678', '3d571ac9d490075d', '9452b026b0d20cad']; context = [[122, 171], [61, 114], [0, 53], [59, 106], [17, 67], [75, 126], [0, 40], [27, 92], [5, 70], [62, 119], [27, 81], [0, 51], [0, 40], [44, 113], [1, 51], [7, 63]]; loss = 0.028720 low_pass_filter = 0.300
+Epoch 0: | | 28469/? [4:29:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 28470; scene = ['d715711625070e85', '2a61433c583f4052', '262e52b03eceb5c9', '6e4b984075d9d0be', '08c09a60291a2f5b', '8438b810e7c30689', '826f9c6fa7a3308b', '5427c242a29c1060', 'a5fd81e45eaea47d', 'c745ed02d695fe65', '17c771028b71dd80', '1c3010c2c0cd711a', 'c8e5699ffc5f3b3b', 'ba7c5eded1b76b25', 'ff6ac8d2fdd0b884', '9952836698ab487a']; context = [[84, 148], [7, 73], [50, 112], [36, 90], [30, 95], [3, 74], [8, 48], [47, 102], [24, 93], [226, 276], [94, 157], [31, 101], [94, 137], [31, 82], [70, 113], [8, 74]]; loss = 0.028710 low_pass_filter = 0.300
+Epoch 0: | | 28479/? [4:29:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 28480; scene = ['df94ad028c71587c', '0f8c770f3a37cacf', '1953baa6b79507a8', 'fc0eb949f7e3495d', 'ccc263a21c469e06', 'da476b8013f67e79', '9b1748955fdd2d93', '4c8249818b4a5099', 'ff7c5e76dbb32bf8', '02b4de9af6e29e8a', '3e29aca8c40a0061', '809ac9d0df881cdc', 'e35fc31cdf5f6b0c', '28d7e19c6e24d569', '1d30d8bce2897a08', '63a408decbee5e99']; context = [[27, 76], [12, 80], [30, 79], [23, 87], [10, 68], [37, 79], [1, 43], [103, 174], [7, 71], [53, 123], [46, 109], [18, 63], [28, 78], [35, 100], [9, 54], [77, 119]]; loss = 0.024278 low_pass_filter = 0.300
+Epoch 0: | | 28489/? [4:30:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 28490; scene = ['ea0c02ec03e01f79', 'f3a5f3677b605b8e', 'e5bb63fb3c7ccacb', '892d7a83c3b9e98b', '97c644f0012e37df', '86920e8a33bf80ca', 'cd6c74ea0440e539', 'b8e21d629c0dc76b', '53345f5cfe65a214', '26c1372d50e49c83', '54cf901f43d77bb2', '093c78c8a4198bfd', '7173e6107342f9bb', 'c3bbcee94ab6ff1b', '13f84c9e46eb697c', 'c94cb4be652f013a']; context = [[0, 55], [16, 62], [6, 49], [17, 59], [73, 130], [9, 80], [29, 69], [47, 105], [0, 41], [119, 168], [0, 57], [215, 261], [7, 60], [69, 120], [84, 149], [3, 69]]; loss = 0.029682 low_pass_filter = 0.300
+Epoch 0: | | 28499/? [4:30:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 28500; scene = ['4d3aba66a55b61c0', 'a88fe04e539fdc97', '89e6f8c4ebc55d2c', '547e4e06b1a865a8', '810f65b521c5649d', '485d3236b9e66ff4', '9943ab7880a1ea6e', '0ed822bcb0982dde', '4b62d75032fde42a', '3b985e0ac53db7b5', '71fb27bdb856ee4f', 'fce8992f85bde34e', '946046a2fe268ee8', '0ff1ada6d68e835c', '427526ee8dab7776', '62d591164844c092']; context = [[14, 70], [4, 58], [102, 150], [24, 81], [4, 56], [61, 124], [22, 67], [12, 70], [4, 64], [61, 102], [0, 48], [5, 76], [5, 49], [0, 41], [120, 186], [30, 74]]; loss = 0.024877 low_pass_filter = 0.300
+Epoch 0: | | 28509/? [4:30:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 28510; scene = ['931e6b34254af15a', '76f02583342a49fc', 'd0c5d78a6d833bda', '6bc24ef0e784d244', '8859e6515aa7ab9a', '2fcde6f2b5ac4db5', '92c8e9d454349b35', 'f9ca9a22dab95c1d', 'a40d0c82b3ccacb4', '1f0fa81c1fe1dc97', '0baee54b3ba3f9e0', 'dfb8798de06ecf3f', '0f81dd482ac2903c', 'dbf41936e7ae1296', 'e0306f2e3e069458', 'b72ac3ba4ab363e1']; context = [[8, 69], [97, 150], [117, 175], [18, 92], [1, 50], [13, 53], [13, 61], [8, 68], [63, 129], [4, 76], [3, 44], [25, 94], [17, 65], [4, 49], [6, 51], [23, 83]]; loss = 0.049629 low_pass_filter = 0.300
+Epoch 0: | | 28519/? [4:30:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 28520; scene = ['55b05c9caa5f4d52', '5807633aaa24e315', 'e8d3dcca22f0927b', 'a18b699a97305375', '18dedb90ea5f4869', '0865ab5087227a74', '262ca049a6cd4ded', 'f45afc69c757f740', 'aaa1ef2a365d7781', '3fcab25b002c8d8a', '88e7d46c7325e541', '755be52fe347b481', '522da2a710ac5837', '8d24e45a0fb34cd5', '9b482a814f0a5481', '7983d363f745886c']; context = [[25, 79], [18, 81], [49, 99], [54, 101], [40, 82], [13, 53], [1, 69], [7, 81], [151, 213], [27, 94], [115, 159], [84, 149], [39, 80], [52, 97], [68, 131], [6, 80]]; loss = 0.025895 low_pass_filter = 0.300
+Epoch 0: | | 28529/? [4:30:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 28530; scene = ['27227056e078032b', '0bfdec70b0e4848b', '3daf1eabf19c93ec', '2d5367d8abf2a189', '6d5ca78f3b7111eb', '77d4dad49d3bf4f1', '534a13c9352bd9af', '85d78a23254e792d', '2a738a49db16bea7', 'deace859a58d2b95', 'a64972f2ce3ab93c', 'e4e01c543b095e13', '59be7b413a7b6f3e', '6979b7e84173dc55', 'b165404deb8e0683', 'cb8d6a9474ce2090']; context = [[21, 84], [4, 45], [21, 75], [13, 57], [42, 83], [23, 66], [23, 78], [100, 168], [9, 54], [0, 46], [7, 66], [2, 48], [22, 71], [0, 69], [40, 114], [23, 67]]; loss = 0.030400 low_pass_filter = 0.300
+Epoch 0: | | 28539/? [4:30:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 28540; scene = ['1acf1fda04e66de3', '9dafc61a5619845c', '7cb7cf6f9813487e', 'c0198b22b5015afd', 'f892051838c9ee27', '9974ef630b3b0063', '4b4d97c54ed93160', 'd6ea07dbb2167eb5', '3aa51ffb5daa1f14', '7856307929acbfc8', '406118df679fdf02', '3aebea0441273ddb', 'f407dfbf20e9cdd8', 'af266e9907e855a3', 'd5272ec25feb6ba1', '4c4cb796127df3c8']; context = [[22, 82], [12, 77], [45, 87], [144, 195], [182, 248], [62, 110], [28, 73], [43, 100], [9, 52], [12, 54], [4, 72], [13, 54], [64, 135], [10, 79], [47, 93], [225, 273]]; loss = 0.033323 low_pass_filter = 0.300
+Epoch 0: | | 28549/? [4:30:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 28550; scene = ['25786ffb7c104704', 'd6d035f2af6e9bad', 'c11e71447a5d1611', '1716266141ef92bb', 'eb5e30080980212a', '7f1b2d73cffaedec', '1d8f8faa8a7ec751', '9c68a8a0af17b921', '600f168a8eabe775', 'a80fd2f2a9bf34a7', '0ffd385bf24b6e10', 'f730cfa1c51fc30b', '4c3217cbb966ce0c', '4012c15c8381568b', 'c6b42d6e8cebec2f', 'a3f4af0fb099f284']; context = [[40, 93], [9, 56], [70, 116], [45, 92], [136, 180], [25, 72], [1, 59], [97, 140], [169, 223], [4, 55], [128, 197], [16, 88], [31, 78], [1, 51], [47, 95], [0, 42]]; loss = 0.023599 low_pass_filter = 0.300
+Epoch 0: | | 28559/? [4:30:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 28560; scene = ['1e1bd550daa0d3ec', '79e5fa7345e69819', '6f2781369a82d41b', 'a6ca24800d9603ac', '4a4220d96cf40ca0', 'b219243c6a108088', '00caa2b14cfc2603', '12c487620fb54b3a', '34ec238bbbb9dd57', '325313dd798bdd45', '9001456359afb4e5', 'f45d9482ec6bb726', '10be6c45efe3a07b', '3748f2ecd1d5dff9', 'c3d6ab8fa3f992c4', '20f2a4b8e27712d1']; context = [[13, 78], [34, 93], [96, 138], [2, 42], [4, 49], [4, 62], [182, 250], [21, 74], [21, 79], [51, 112], [0, 40], [22, 69], [11, 82], [4, 77], [17, 61], [93, 158]]; loss = 0.024809 low_pass_filter = 0.300
+Epoch 0: | | 28569/? [4:30:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 28570; scene = ['d42d236f6214408c', '18e4f707e6d47890', '19e2d9003bc31363', '4f27c51e6150adc0', '433ab59ecfa048c4', '73dc9a8349092a3a', 'fd8d69b1ea91d566', 'a4561bd206f6dc9b', 'c454c223f3254118', '65f17ce21551f7ab', '4f3e4c4ec365fd3e', '6a2e087bbdab0171', 'f8ffeaf25a4a038f', 'f8b1d2c720458382', '0a22ba84aad5667c', '270685fd0ad51c32']; context = [[63, 105], [133, 183], [29, 86], [83, 125], [1, 70], [8, 81], [21, 75], [120, 182], [8, 81], [126, 177], [27, 80], [11, 66], [31, 72], [79, 128], [25, 74], [12, 82]]; loss = 0.038565 low_pass_filter = 0.300
+Epoch 0: | | 28579/? [4:30:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 28580; scene = ['7fc974555b4b9640', '8a3c3d62d87c8964', '486d26ad09ae5be9', '7b84e647a32a4bb6', 'cc3e6da23fec83d0', '689dcecebb827840', '4740cf208d28502f', '835d4ac0d550e3ef', 'c8cf673ce88ca4af', 'e4e6feba6ad8534e', 'a64e6ad0a94e2f4f', 'bac018643bed4fe8', '14d24ae076dfd157', 'd26799d89f2a846c', 'fd121f0c77ac0c01', '9eb99257b0499b06']; context = [[2, 63], [30, 79], [3, 43], [2, 62], [56, 118], [101, 147], [19, 77], [18, 89], [0, 68], [19, 71], [84, 125], [33, 81], [4, 57], [23, 67], [123, 186], [28, 81]]; loss = 0.025350 low_pass_filter = 0.300
+Epoch 0: | | 28589/? [4:30:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 28590; scene = ['4d11e532d98f82b0', 'e29163792848f2a7', 'a056e3fa243afc5d', 'bb85e052b391045d', '1bfe50354dad5232', '1cea9c18977c2f8d', '4c77daa258b1ab4b', 'a0b1e9da3ec78a5b', '66ae84fb53b12759', '79e12395e84d7f72', '7ff21a679944ada7', '155655aa88f2adf8', 'b014023dfb2ea9fe', '3d9e16d8ef4fccc8', '745686abe5c2f2da', '1b2bfb2e03827c26']; context = [[22, 66], [0, 55], [38, 80], [55, 117], [10, 58], [10, 55], [5, 63], [15, 56], [5, 72], [66, 108], [4, 45], [144, 184], [131, 180], [3, 51], [21, 66], [10, 65]]; loss = 0.029829 low_pass_filter = 0.300
+Epoch 0: | | 28599/? [4:31:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 28600; scene = ['c36f204f4935f56a', 'a11b25880bc2ffd6', '27ff41a96f02b97c', '4c02e41f39fa24e0', 'aeaed8c44ce38f0d', '68e42cbc6dcfc725', '08e1c61005ae86ec', '4b0a68d37406a651', 'ec5f9801aa83c8aa', '4f456caaf8e278eb', '6178471c127377c0', 'a2e2c2e66db9a05c', 'fe0f537ed404cd7c', 'e129207a6fb70b7a', '640c27b117876bef', '7554edcbb2a0f82d']; context = [[51, 122], [68, 114], [17, 79], [117, 170], [5, 54], [33, 100], [47, 98], [25, 80], [1, 46], [3, 62], [2, 72], [37, 83], [120, 188], [31, 90], [13, 63], [17, 89]]; loss = 0.022696 low_pass_filter = 0.300
+Epoch 0: | | 28609/? [4:31:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 28610; scene = ['96e35374a892ac6e', 'cd50c121eff10ec6', '776d6e3d5a4941de', 'd41560daed994b6c', 'b615dff0d6658715', 'b25de35dc81a1279', '7c8e1c58421a9f57', '57acd3c88fb731b2', '7c85481e2834e905', '21ea2c8f2f914e52', '38e96cff15428333', '651269af19b64849', '46280d14ecb9cdaa', '418eb9f06382bfc3', '5a2b85fcc1ba4d04', '100d2313d1fdff69']; context = [[11, 61], [5, 71], [22, 74], [5, 77], [19, 76], [0, 71], [48, 118], [16, 78], [210, 252], [16, 66], [0, 54], [95, 150], [49, 102], [86, 142], [62, 108], [8, 50]]; loss = 0.025560 low_pass_filter = 0.300
+Epoch 0: | | 28619/? [4:31:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 28620; scene = ['bb4c043078a5b91e', 'c3e773c9ea1f4727', 'd6fc181ec9c1537f', 'a3af6cb061c06d46', '3f9ae08552374fb5', 'e54b5eec8cc47776', 'd8e5c190e8400259', '095889891b7da599', 'a6f33152fd042ca4', '3f1a1e582e8c1158', 'fa56250d112da444', 'cad8d99d5938a98a', '1b4dc23d94ab138a', 'c34c5bd5ccbc0ee5', '3897774841845bec', '3c124a8f0d2e2988']; context = [[14, 63], [19, 60], [9, 68], [70, 134], [60, 130], [6, 80], [16, 58], [4, 61], [10, 51], [18, 76], [77, 129], [1, 65], [35, 77], [9, 53], [9, 51], [28, 88]]; loss = 0.023958 low_pass_filter = 0.300
+Epoch 0: | | 28629/? [4:31:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 28630; scene = ['5f682a64a6caef5f', 'ee32367f85a7cb25', '76371ad725a760e5', '2b7c4fc5837a4cb5', 'b2614462000b188a', '052aa87d96ef68da', 'f610af52915248b8', '802a2c4f1cdd375a', 'aabafe6563b3cf60', '3bac2a1cdec2f5b8', 'e46a38e9be8ffe46', '97b2caffdf0c4b97', 'ff531e6e82b576f0', 'e0919b7dad9888d1', 'ea62e3ebd5a10e62', '36591589ad16fffd']; context = [[50, 116], [98, 158], [38, 84], [59, 116], [15, 87], [8, 75], [8, 50], [136, 188], [75, 115], [6, 63], [86, 149], [26, 81], [16, 71], [30, 97], [186, 258], [157, 205]]; loss = 0.028723 low_pass_filter = 0.300
+Epoch 0: | | 28639/? [4:31:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 28640; scene = ['5b0fe3910093f8ed', '936cfb94d0fa2d95', '94c8f1c6ee33001c', 'c177284557cac835', '7c04cd39e6b4bd9d', 'f26cb76f4f1482ca', '2beffba3b531b579', 'e6bffe056df50f5a', 'af682b0ac0a6af53', '64178fa9e691eb9d', '353ca9b87c6ea74c', '8519d27532729dd4', '3352e138ccac13f2', '40df765baa02ddbc', '152bfa6dd2ed2d91', 'c3a524b4d053b421']; context = [[0, 41], [1, 43], [32, 79], [124, 164], [79, 146], [18, 68], [14, 86], [93, 142], [123, 165], [2, 69], [227, 270], [5, 56], [50, 108], [4, 66], [49, 122], [180, 240]]; loss = 0.051712 low_pass_filter = 0.300
+Epoch 0: | | 28649/? [4:31:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 28650; scene = ['9086929b365d2a3f', '9e2be97628cfffeb', '0c2e8dbc7c1fa4d3', '3b253958e49a169f', 'e14f4c7e2b5bf74a', 'ecb85a80a1fe7b8c', '0e361cd3050f0a1b', 'e3b3d9b0d8fa9df6', '35f3fc9b63fabd73', 'b2b3eb2502433212', '4fa5b973a37f2ed4', 'a020f3293839f1a5', 'a0c2e85b87cdef90', 'cc6c8d74122beb91', '0c52454885189188', 'cbb91c77a7526d61']; context = [[6, 75], [3, 44], [131, 179], [117, 183], [19, 62], [85, 155], [1, 45], [16, 90], [17, 58], [8, 73], [1, 43], [32, 104], [128, 181], [4, 47], [0, 65], [3, 51]]; loss = 0.024939 low_pass_filter = 0.300
+Epoch 0: | | 28659/? [4:31:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 28660; scene = ['9cb2468ed48b5fad', '530aee7e4221e7de', '69e667ecfe78bb3f', '16aa4a9783317cb0', '65f1a35468f6b32c', '7ccad0917043f74b', 'e09a82670b5bdd56', '43b39a6fba1f9169', '99459bda32d09b3a', '2718fcca65d2f1c3', '90581cd87395ed12', '7c8e2c32f609e60b', '3392e48d1d6b9d8e', '4394103a63b98852', 'ce7628000f58011b', 'd43365e35b81ceb0']; context = [[86, 142], [1, 64], [75, 128], [17, 71], [47, 93], [129, 172], [38, 80], [146, 193], [16, 58], [12, 84], [28, 78], [38, 103], [72, 137], [11, 81], [3, 67], [42, 101]]; loss = 0.029477 low_pass_filter = 0.300
+Epoch 0: | | 28669/? [4:31:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 28670; scene = ['aa3520c25c879a9f', '770ffcd0c79519aa', '3ca8df0cd8efdb59', '96e2eb5a35b46298', '6f2e1d1066f7d871', '3001a8b7349d627d', '8c6f0f3ea9dc7bee', 'e0cc4b7664a79c4d', 'c834b39a058f03fd', '9e4038d6ef007f0f', '536d4a2b86ee53be', 'e18892b50162e698', 'bc9172aa1955898e', '56aa518958e66903', '9fa4e4dcbf356d32', '17dd546c069a1904']; context = [[34, 87], [110, 179], [109, 153], [3, 65], [9, 79], [3, 64], [2, 48], [77, 132], [87, 138], [223, 274], [0, 54], [115, 165], [91, 155], [28, 80], [5, 66], [3, 61]]; loss = 0.024758 low_pass_filter = 0.300
+Epoch 0: | | 28679/? [4:31:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 28680; scene = ['d61b2ffb090ab82e', '68d25ae85d2f5cae', '738543a84b2b0667', 'ac85da0c05c229e4', '2d6daea339faff88', '63331dbbbfe80f5f', 'bcb68900df3fb3c7', '2ec8edfc07c8841f', '2cb2d8255676e654', 'e741fa80ebe93837', 'b18b0e59cc8d6d53', '7a8d8426e0d1c1aa', 'f8fb4c5f59b50530', 'a2fe0ee3e737c073', '7bdad49548efe595', '02cebccd52e7833b']; context = [[3, 64], [3, 63], [40, 113], [62, 111], [116, 180], [77, 140], [2, 64], [0, 44], [5, 62], [3, 59], [19, 68], [0, 74], [27, 72], [69, 112], [10, 53], [19, 67]]; loss = 0.058241 low_pass_filter = 0.300
+Epoch 0: | | 28689/? [4:31:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 28690; scene = ['7b5442741b4ad783', 'f9e5cbd539cfa837', '685b6c222cfb2558', '26bf0e253e41e11a', '11a2ff11b09706d3', '16567c3444d63d6c', 'e4c4750ddc1a58bc', '86cd3438e7d886c4', '6113251e446acab2', 'cc8d60b67533bda7', '6e022744f8823ba4', '100c1419734fba67', '13fc20c6d6d05c09', 'aece43a03f5a4a78', '2659ec816ec78ee5', '33438ecdb87d0bcb']; context = [[0, 56], [102, 163], [2, 72], [59, 111], [7, 57], [15, 78], [45, 115], [2, 53], [33, 95], [35, 93], [97, 159], [90, 144], [37, 99], [4, 63], [27, 84], [188, 231]]; loss = 0.036072 low_pass_filter = 0.300
+Epoch 0: | | 28699/? [4:32:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 28700; scene = ['e73e0f80ee7325b1', '5907249a9fd46e01', '500c86fbe171cbc6', '06664cf7e79e23e4', '2fa6868d077d8170', '944064bb05da56f1', '070f5fde5fa6c61c', 'dd65f651f4c0fa9b', 'e3e1a3f596f25e4b', '0eef1f291b126594', '951fd738427071a9', '029fba664425823a', 'c35e6d31102cafa7', 'a1be7f06fef9077a', '397e1fcec212c272', 'f6db03fcdbf3253b']; context = [[20, 87], [22, 88], [12, 68], [63, 121], [42, 108], [100, 150], [22, 70], [24, 89], [93, 134], [21, 68], [92, 140], [1, 50], [2, 62], [136, 179], [10, 63], [44, 112]]; loss = 0.036373 low_pass_filter = 0.300
+Epoch 0: | | 28709/? [4:32:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 28710; scene = ['6bda2ed53a6c45a0', '4f0388620a33c099', '09b145bcc2d32627', 'fc0c437a3eb1dc0a', '072ace91e2fef373', '06e9f26b5f803220', '5a38b8d664c399f4', '1b2e793d39caec3f', '270ec2d099edfccd', 'b0139ba67c176260', '25dd017c409dc6ff', '69029690713e2555', '9244ece752e135b3', '9af39f3dadb1471e', '3df3b8e8df43de20', '98063301fa1a5439']; context = [[0, 43], [66, 122], [57, 122], [15, 68], [44, 99], [157, 216], [4, 54], [35, 97], [14, 79], [218, 269], [71, 135], [79, 130], [42, 115], [13, 55], [108, 172], [0, 72]]; loss = 0.027849 low_pass_filter = 0.300
+Epoch 0: | | 28719/? [4:32:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 28720; scene = ['24fba0e6aa6af98f', '20045f4782cb52ba', '94ad9ac9d5fc25d1', 'da6552eaffe605cd', '37f28ca0c73ae057', 'a5b032ef6a4d3ce4', '7709edd1d8cd1946', 'e63d845cb83be6c9', '0e3abbd980a263fe', 'd815e00df962638c', '4b51e4231150adf4', '0bdca1b88deda4a2', '16fd5a162c4b0093', '7e8e66f4e02657d6', '5f28b2d3f4828007', '6ec006a4adb5a42f']; context = [[43, 89], [153, 200], [109, 158], [2, 45], [27, 86], [85, 149], [16, 83], [15, 85], [10, 75], [62, 114], [60, 108], [18, 80], [68, 115], [15, 63], [6, 54], [32, 96]]; loss = 0.026815 low_pass_filter = 0.300
+Epoch 0: | | 28729/? [4:32:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 28730; scene = ['5e56cda42b8a9d7b', '9c6ef1e78270e053', 'b17038a5992d2efb', 'de1221dd6506c5d0', '276a13f09ec9a0dc', 'ae102f2e58ac735b', 'f4559e045f3090e2', '81eb6c7798c391a1', '206ab8a8f71bc4fc', 'ebc54fed0e24fa6b', '41b75f50a603fe9b', '445112299044c265', '5e1da375ded17ca5', '2b7738339f78cbcc', '27bfd6d0353eeffa', '15aa80e12e6979f3']; context = [[4, 45], [32, 106], [2, 46], [29, 96], [85, 144], [214, 255], [5, 70], [1, 55], [14, 55], [31, 89], [78, 139], [7, 79], [0, 58], [6, 60], [9, 61], [150, 191]]; loss = 0.027282 low_pass_filter = 0.300
+Epoch 0: | | 28739/? [4:32:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 28740; scene = ['9d8ddcdbe1f7ac42', 'df71fbb70b19cbc3', '29c01e460bbc57b1', '8ca45d3749f47ece', '8ef412fa76f4ced0', 'b3c375b35694b37a', '664c82ce45c2fc65', 'e19035718da80566', '852c1096389dac20', '7e8be15607bda439', '8da49a4df37d64c4', 'cbc5079a5e106cf9', '99df0e9790c603ff', 'a177d2fe364ccb70', '791aa6312f1d31bc', 'ff1c53b47030e748']; context = [[0, 44], [7, 64], [1, 51], [5, 46], [1, 75], [115, 158], [0, 64], [147, 203], [19, 75], [10, 77], [0, 40], [88, 159], [10, 84], [84, 153], [68, 110], [17, 57]]; loss = 0.023822 low_pass_filter = 0.300
+Epoch 0: | | 28749/? [4:32:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 28750; scene = ['bc0dc36346da20b0', 'f0c98d9d2b7f6b25', '226f31dcfdaf71f6', '0511be7085235229', 'c8198e376ce5fe21', '6bcc23e1031228e1', '29c5fa6a83baac7b', 'de3ccf8d3c418bef', '51d68b77c408e914', 'f8d7d5f83350ba50', 'd12ccb9176baca06', '807a812350f25893', '1e2c9a89cbf36161', 'd7f2d82f83e70693', '98f7a067bbb96008', 'e942de9a7b77dc44']; context = [[26, 85], [0, 42], [17, 63], [17, 74], [45, 116], [4, 60], [48, 115], [8, 59], [130, 184], [99, 154], [8, 69], [38, 96], [195, 255], [171, 230], [2, 63], [19, 63]]; loss = 0.024791 low_pass_filter = 0.300
+Epoch 0: | | 28759/? [4:32:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 28760; scene = ['a4945b7f65c2e00b', '9752656fbe957d0a', 'b1d142790db66311', '042ddfb169d6bbdb', '6d51b12343179f02', '84f60ca2323e9654', '4e1c106e3effe9bc', 'cb155c027de7a145', 'cc2226bd7f8faab6', 'd110e65023ed8364', '38a6a1ac5db4c9ca', '6ea0ff32c8ea695c', '342099a48847f4f6', '7d9fc989aa9c6149', '17733564c89eee4e', 'b0b2384640a9a7ff']; context = [[15, 63], [10, 72], [5, 67], [169, 241], [48, 120], [16, 77], [64, 134], [48, 114], [1, 64], [209, 278], [66, 124], [27, 90], [24, 75], [2, 49], [175, 243], [28, 93]]; loss = 0.028722 low_pass_filter = 0.300
+Epoch 0: | | 28769/? [4:32:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 28770; scene = ['64fe48431956f5a4', '546252fa9fce9180', '194d3524ff721743', '563a22d6074fdf24', '03203af97d6cf03e', '7543d9df60679634', '193e4b6a051b246b', '219d6fa361e2200a', '21c1d6f293998c88', 'af50bf60c9639647', '52b9ac23fdfbac93', '74eb411688ba5e15', 'ac64989dd2b2a22a', '777dec8c405e3f57', '3977e67f033992e8', 'eb5a6e0843067cdc']; context = [[106, 176], [29, 75], [50, 108], [0, 72], [16, 80], [7, 71], [76, 127], [13, 59], [42, 85], [49, 95], [4, 51], [4, 75], [56, 116], [1, 54], [2, 66], [27, 92]]; loss = 0.024010 low_pass_filter = 0.300
+Epoch 0: | | 28779/? [4:32:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 28780; scene = ['8f2c852f336bfb3d', 'a53cae6550f95a38', '9620b0a596971473', 'd5960a4f8636bc77', '054a098d517cd27e', '9c41777f108288ed', '67642ba9afa1b1cf', '8a6f058ea1b60e96', '687b773cc20cf2ee', '5994a80afa6ef0fe', '2369b06fbf07fe26', '3bdf8df6c39efd67', 'bc51d02a05fce838', 'e52bb29b8c03f39e', '7e39fdb0eefece03', '40aa327f7c331a8e']; context = [[7, 54], [14, 72], [126, 177], [150, 194], [29, 98], [11, 77], [0, 54], [34, 100], [0, 42], [21, 70], [34, 79], [29, 102], [171, 234], [20, 85], [5, 78], [38, 94]]; loss = 0.028713 low_pass_filter = 0.300
+Epoch 0: | | 28789/? [4:32:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 28790; scene = ['65ca7e94d3b96084', '48cc352969a825b7', 'e91ad187bebc2b26', 'bba36936dcdaf4c7', '6f0f0133f8cd5eaf', '5f61074b8462150c', '6e4f4a49ea0e6a3a', 'd96f4644b2bc561a', '1987e5287cf07ea9', 'a48c2ca51c2f6577', '662c746215388880', '5e78af90c3e5d57a', 'f299ba5cdef8e35f', '3dab79d6331a4331', 'e758c80eeb625520', '96292e5e47cc9fc1']; context = [[40, 107], [45, 106], [33, 89], [73, 143], [0, 74], [153, 211], [5, 52], [16, 67], [43, 84], [4, 71], [49, 96], [137, 192], [0, 46], [141, 209], [51, 109], [87, 159]]; loss = 0.025681 low_pass_filter = 0.300
+Epoch 0: | | 28799/? [4:32:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 28800; scene = ['de8f8833f7249ae5', 'c6ef540ba2a718d9', 'dbf467916b239e3c', '1f0559ea714b0512', 'da56be0a53c87ce8', '7b8b6dd12d98dc96', '087e266555c5100d', '6155f5739d22df86', '391dc0b5d288f601', '056cd557d2bdd490', 'eed0aeb082d8727b', 'e6028373d0388cea', '16a3dad8315912bb', '3afecd065021c4c0', 'ee1dd370404cf055', '1d2c9ffecd057d36']; context = [[85, 141], [45, 103], [23, 68], [27, 76], [56, 109], [83, 131], [5, 68], [3, 68], [17, 81], [115, 172], [14, 77], [42, 115], [0, 40], [21, 66], [177, 245], [6, 68]]; loss = 0.027534 low_pass_filter = 0.300
+Epoch 0: | | 28809/? [4:33:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 28810; scene = ['9922a4813abfef5d', 'ab7e206549255e0d', '5505150f6f3c1b41', '9aefa60e71537b35', 'b3c9ebc907ec6e04', '3dbb2c1bc521b62e', '5228c2104f8fae53', 'fc8e5038180d1870', '32594792c3f9361f', '2c818e06fab2adb1', 'b407aff58d0b2042', 'c470e82acd641c32', 'c953d129166956cf', '242016b24b4251a6', '3d2496a06b64ab52', '531dbcf740193f4e']; context = [[17, 89], [12, 83], [36, 110], [0, 46], [158, 198], [123, 175], [108, 169], [183, 238], [17, 66], [9, 59], [97, 164], [9, 73], [11, 55], [56, 110], [70, 133], [7, 48]]; loss = 0.026520 low_pass_filter = 0.300
+Epoch 0: | | 28819/? [4:33:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 28820; scene = ['d1982e484d90d2a2', '3cf925236cbd3e5a', '09109e0c9711a480', '7acc85ef88e5a186', '80d4d02464edb6e3', 'c53f5fbaa207e94b', '84339271308b5cb6', 'c40a2ea96f6a035c', 'c6da0d81f35e345d', '7e858407f6705790', 'd253a755fbd1d015', '2ec9b3196d12c94d', '8836f80f85832118', 'c8a1f2c1e73ff3d9', '0dab6f9ed41bf09d', '257ab5c1a83a0664']; context = [[32, 96], [24, 73], [103, 169], [30, 81], [88, 149], [72, 125], [49, 117], [0, 41], [146, 190], [23, 93], [6, 62], [204, 260], [24, 72], [1, 52], [74, 121], [2, 43]]; loss = 0.027384 low_pass_filter = 0.300
+Epoch 0: | | 28829/? [4:33:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 28830; scene = ['e5c47b626f9a7fa4', '7d4efead6d44dd4c', '674835273a35cbdf', '165eaaa2a7b5c11f', 'd28a4b53b6fe0a84', '7e762d0c67252a36', '69cc85f49345c36d', 'e1d54f5b0c99afc7', '991b3ad0e6529d38', '4292af9da6eab2e1', '1d49bc9391005354', 'be0ce1ab279edf70', '02c8c0e9587b4417', 'dbe7ffcf03148e8e', 'f1acae7a283e8298', '1359aae95ae32f92']; context = [[0, 61], [62, 123], [14, 76], [1, 48], [8, 58], [11, 59], [37, 83], [32, 96], [41, 98], [196, 266], [8, 80], [5, 67], [4, 62], [0, 60], [8, 59], [14, 78]]; loss = 0.026636 low_pass_filter = 0.300
+Epoch 0: | | 28839/? [4:33:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 28840; scene = ['8715a1b4fda38323', 'cb9fb0de27b9e658', '39866fa4dac21c68', '3c7144d9d955132c', 'dd5052b4e6eace78', '9dec68509b4f3979', 'fe8feaca8c0571aa', '6fbc2fd175a914f1', '679895a88529a64a', '10c430f0b55254a1', 'c899916acd553c9a', 'f3818ef1c738cf74', '89fe7005e1d9debf', 'c8d9b5cf9ebb5419', '7340966e764f81b0', '03f7460f8917b6d5']; context = [[63, 120], [15, 62], [5, 55], [15, 89], [19, 59], [19, 91], [10, 52], [4, 63], [71, 130], [30, 80], [3, 65], [192, 239], [35, 108], [63, 126], [0, 58], [119, 163]]; loss = 0.030533 low_pass_filter = 0.300
+Epoch 0: | | 28849/? [4:33:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 28850; scene = ['67e60e8d574503ed', '8f76cf20198943f9', '99aa8fe19b8215bf', 'cd746201c3c6cb74', 'bddcbc19a6e72db4', '71a23bbc6bbbe3b9', '9790cca738845fd8', '63da47e50e923268', 'e6c85be23fed04b5', '402d1153b582b8a8', '08f81561d2f0195e', 'f34809973ead56df', 'dff8abe7fb65a56e', '29abc638286c5fea', '792225d2e2a82033', 'eecabe2d591d9fc2']; context = [[24, 94], [143, 193], [6, 53], [75, 131], [94, 155], [19, 90], [2, 69], [9, 52], [23, 81], [23, 84], [186, 254], [26, 83], [12, 61], [10, 65], [0, 42], [80, 147]]; loss = 0.035642 low_pass_filter = 0.300
+Epoch 0: | | 28859/? [4:33:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 28860; scene = ['8ca97af66552f055', '87fa399fdd73af24', '4b846a205819d8e5', '398fc172733ae106', '06fbc8d45e60e49b', 'b020cec718b2a496', '47a8853f48974faf', 'c12b4b8fce580e89', '703860a4a2fc4649', '8c9eb97a7653d4f0', 'b791fb38e3fd8d03', 'da2b6199a9135d43', '004a40da569ee807', '1844d01379136fde', '8913a77c9f388657', 'e7066bc6213cf70a']; context = [[65, 137], [0, 56], [138, 184], [28, 84], [15, 68], [11, 69], [178, 227], [139, 181], [21, 69], [27, 97], [48, 107], [117, 187], [50, 104], [18, 62], [25, 69], [14, 79]]; loss = 0.024074 low_pass_filter = 0.300
+Epoch 0: | | 28869/? [4:33:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 28870; scene = ['923bb7b5e536e479', 'd5dce1bf0842df59', '58187af293ad8b35', '4763370f2ce77179', '08d205f4f1290034', '046fb9f668ac6b20', '9c9a09dc05ae0717', '6bc1f4da43d84f90', '900bc6e39af26c05', 'd60d506eb1bebd6a', '03b718ad527c4d1e', '21638997ab0430ad', 'f9ab9226cc1162d2', '0f9993251cf16d93', 'f21b340b0c6736a7', 'a5a6c26cc05f9896']; context = [[26, 76], [0, 42], [34, 85], [7, 57], [63, 132], [136, 187], [168, 221], [59, 119], [35, 87], [5, 63], [78, 122], [92, 156], [112, 164], [61, 124], [61, 115], [0, 40]]; loss = 0.028888 low_pass_filter = 0.300
+Epoch 0: | | 28879/? [4:33:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 28880; scene = ['5c2861f1cadc9406', '9d002fa0a67575b5', '6f09662a0d3097aa', '4f00f092855236d2', 'b78d7b4487c46ca0', 'd34baa0609c196dc', '257e1b31b3f99f45', '6795e5341d34cb89', '4b7fcb1de6b31093', '208d50cbb155ae84', '6e3ccf2193f8275d', 'bf9e918931dc1d2e', '7a6162d260dd845c', '140e9646d72d09f7', 'c72a6c3ac24e0c6b', 'a088ee635f921d52']; context = [[4, 62], [11, 83], [85, 135], [204, 262], [43, 85], [15, 68], [35, 78], [7, 48], [10, 83], [55, 115], [66, 123], [4, 44], [4, 77], [5, 56], [7, 65], [19, 71]]; loss = 0.026805 low_pass_filter = 0.300
+Epoch 0: | | 28889/? [4:33:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 28890; scene = ['02ee92ce0474d617', 'e6828e4eb26c2f83', '18a1b3760e40d9ac', 'eafab5a4d0a85c15', 'c95e4eadb5265b1c', 'd5ac40102b33b530', '039c99628d6ca6f9', '6643261a369ffb84', 'a97001a730403d8f', '43017fb4aed6625f', '2b0cfab67601662a', 'd3e9fb196b944937', '0a178d6a8d53c07e', 'c2b88667c45d9508', '0895217c1d75fc75', 'ffadc5456128c7f5']; context = [[5, 62], [62, 102], [37, 86], [146, 212], [2, 72], [0, 61], [2, 51], [155, 197], [9, 73], [16, 63], [3, 60], [11, 78], [3, 44], [19, 73], [5, 67], [147, 206]]; loss = 0.023199 low_pass_filter = 0.300
+Epoch 0: | | 28899/? [4:33:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 28900; scene = ['32a20b1e5eba48c4', 'a559ed659c3d87e2', 'a3d0cca9fb57fd85', '231fd0a735520713', '5797fc9321cf7baf', 'f6318ce59651d073', '3684a63a1d0cc394', '179cb42db666256a', '7f518de476153a28', '95b457a2bf43426c', '4858ff2c0bf9c819', '8bb025b1d8e8a9e3', 'f13d40fcea581125', '385f9bcdb97bb766', '496e6fc19c13a4bd', '882e5b83bbc2027b']; context = [[1, 56], [104, 155], [21, 63], [117, 167], [42, 94], [22, 73], [105, 160], [164, 225], [0, 41], [35, 76], [184, 246], [1, 67], [174, 226], [158, 220], [3, 56], [11, 65]]; loss = 0.026311 low_pass_filter = 0.300
+Epoch 0: | | 28909/? [4:33:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 28910; scene = ['3705cf295c1284e5', 'a479cdf59a8b898b', 'cc53eb354f04f9b4', '8649586e933c7715', '56b412efca8cd744', '67e81bbe28f8da40', '0c9b2631e6eb3b4d', '18d0314631ef255b', '7ca9ce44e0a42fe0', 'aeb0310bf069c6b1', '834efc0a6b25df27', '5fe02cb7f8e0053a', '8b9464ff35895e7a', 'f6e8af9548e8bae6', 'ece38763f3341f27', '266ae731dcd710d2']; context = [[26, 69], [44, 100], [2, 66], [9, 81], [84, 145], [15, 78], [36, 77], [24, 89], [32, 72], [173, 224], [13, 85], [79, 134], [16, 67], [162, 226], [11, 56], [72, 136]]; loss = 0.028921 low_pass_filter = 0.300
+Epoch 0: | | 28919/? [4:34:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 28920; scene = ['5c9fe663b5ef4455', '53a5d71340f06126', '923d2553d35a6d22', '4a836695ffd00e9a', '3a29c0593ca440c5', 'aedfba3f04e24043', '9693cbca200b4f6b', '7b76a92fa62c4c69', 'bafb967ba16f2dac', 'ef2563a0feee9cf6', '9e6d2ee8be04bffd', 'a550bd5639d72a90', '8f0a53b40fc2fc33', '0495777304398cd9', '01212d27fbe9df5a', '26dcc318957a558d']; context = [[46, 115], [30, 77], [143, 202], [61, 104], [13, 77], [9, 83], [4, 44], [195, 251], [26, 72], [61, 126], [9, 50], [92, 138], [51, 100], [47, 99], [31, 98], [0, 74]]; loss = 0.025240 low_pass_filter = 0.300
+Epoch 0: | | 28929/? [4:34:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 28930; scene = ['1b3dc910197fba0e', 'd5e2d4a639e271d7', '5fdf8298e3d56d54', 'ed97f5b422b79242', 'bfe965e674117e0a', '6e5d576038f561ed', 'f12f544ed5df8605', '5cbd109931e3fe1d', 'a4abb1cde2e10cdf', '1689a6a8e0af825e', '6d45a2090f8a7bee', 'd60a0aa6d5711b80', 'ca9f9eb29db75829', 'c8234e5da5f366ae', 'f625bc1d8fe98cc3', '1badfac3b77b18f6']; context = [[66, 138], [9, 54], [0, 40], [24, 65], [17, 85], [77, 131], [47, 94], [5, 45], [27, 101], [199, 267], [0, 70], [10, 59], [93, 140], [17, 86], [41, 93], [1, 45]]; loss = 0.023451 low_pass_filter = 0.300
+Epoch 0: | | 28939/? [4:34:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 28940; scene = ['30a737763bd2a911', 'f81aac43ea74ff44', 'bec7b7bd2fa60eb3', '607224e86f068935', '1e53861f346b0f7c', '65d335b19bca4c2d', 'de1181d6c642e883', '125318c9856ce742', '8049eef0ee607a97', 'a025554e94654c2f', '07278d9d2d1e4e6f', '443d63805b3fd4ef', 'd6dd35d96ec83e83', 'b877fceeed5942d8', '558684b06f159a0a', '590d0d46abee63bb']; context = [[33, 92], [1, 62], [7, 58], [31, 87], [17, 70], [78, 144], [116, 160], [37, 96], [34, 74], [145, 216], [53, 100], [124, 194], [0, 49], [25, 74], [0, 52], [24, 69]]; loss = 0.025691 low_pass_filter = 0.300
+Epoch 0: | | 28949/? [4:34:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 28950; scene = ['8e704b8171b2dd7c', 'b9c0beab80c28377', '917be2bd3c7a28d7', '8a1d2b081aa7649e', '1629b949594b36b5', '4832765fde4b5c76', 'c90a6a1367ac2983', '6f20647f5a7ed154', 'b285926ca059a521', '8ceccd568474348f', '9ab83ba6f3dee716', 'db40e459c8979778', '6af18067925fa678', '344337509a48a21c', '28ada2a08238d1c8', '272f7a997c94d84f']; context = [[0, 41], [24, 64], [45, 113], [207, 262], [1, 60], [38, 96], [41, 89], [32, 91], [118, 183], [24, 68], [21, 78], [69, 109], [64, 121], [120, 191], [5, 74], [122, 180]]; loss = 0.028704 low_pass_filter = 0.300
+Epoch 0: | | 28959/? [4:34:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 28960; scene = ['c2a67e26647c1e9d', 'a9e831bd27fc9d1d', '94d23695debabef9', 'ca517568198b38fc', '9bedb2eff1cc0ef6', 'af973133388b427a', 'c4c25091ecc2c5e5', 'e238437c5c59bf7f', '618d37c771bbfe59', 'e8dd58228cf4436f', '3ce0a9cc3874aee5', 'a45e9fecea8c15c2', '7a915db6a6bfc2dc', 'a6631edae47463d4', 'fc726e9da7ef022a', 'e8a2f62859a3727d']; context = [[106, 159], [51, 91], [6, 61], [5, 56], [35, 100], [7, 60], [11, 73], [13, 54], [34, 79], [64, 114], [135, 187], [169, 225], [3, 60], [138, 184], [1, 49], [14, 64]]; loss = 0.026688 low_pass_filter = 0.300
+Epoch 0: | | 28969/? [4:34:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 28970; scene = ['a5d054dc249a0291', 'ab03c2979623d6cb', '605c98b35d15551d', '2daabb0611aabbcf', 'a7067337ddfb6af5', '8b81f3d28dd590fb', 'e9b9ad20889455df', '090ced9a667843cb', '35e2e0c67e738b87', '41d454a6a4ccc3c6', 'bea5493d136e28a3', 'e9c6f415d779746b', '29fb114d6a8e8b4f', '1db8db266bd7b824', '285889f46472d93b', '3c574f60fb9adfc7']; context = [[17, 61], [0, 71], [92, 151], [29, 101], [63, 129], [143, 211], [58, 111], [145, 188], [93, 147], [208, 257], [1, 43], [6, 47], [13, 75], [132, 181], [104, 163], [40, 83]]; loss = 0.024986 low_pass_filter = 0.300
+Epoch 0: | | 28979/? [4:34:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 28980; scene = ['8ed6bd5510e508fa', 'ae8bc0141db29362', '346afdcdd046633a', '4b008f9c4337a48a', '0d1b95f947442c42', '3b0f00f513dde6ca', '14db202c335af709', '16d3ec890df5ae96', '33ccff66d42f5db9', 'ffea2c687693b2e0', 'bd65a22a1e0afab9', '47396d5a5299873e', '02d0ad66e1043e20', '4c9b35d3b2045ce0', 'd40a708e5cfc30a4', 'f93c284c77d0738a']; context = [[64, 112], [114, 189], [24, 89], [96, 143], [23, 68], [51, 113], [59, 116], [0, 43], [2, 64], [18, 58], [14, 68], [3, 66], [73, 129], [5, 55], [3, 46], [38, 113]]; loss = 0.030849 low_pass_filter = 0.300
+Epoch 0: | | 28989/? [4:34:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 28990; scene = ['db91fed7543340ef', 'd85e72198954fedf', '61c1a8c9a5bbb249', '90a596bfb6501865', '155bdf703c9d2c78', '01c72bfd2acc1bf9', 'ac522c134dfe7713', '820efb23bec5de13', 'c31c79f118bf1526', '09084445f13c2ecd', 'a8e31e388f09de2a', 'ae12457eb84c3109', '76621f74252ed3cf', '20eea6e0a91b2cd5', 'deed1be47150b1f9', '4aa10f2a675ba1fc']; context = [[9, 54], [8, 69], [5, 66], [70, 114], [19, 77], [24, 86], [222, 268], [0, 75], [84, 157], [103, 159], [137, 202], [15, 70], [66, 116], [26, 91], [46, 107], [12, 71]]; loss = 0.073211 low_pass_filter = 0.300
+Epoch 0: | | 28999/? [4:34:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 29000; scene = ['d2bb7463fe19637e', '3b65829d6b1455e5', '6c4460628810b20f', 'ec723bd46c6bb0d8', '40d6b441889e1124', '9b8bb08ccaeeb8f3', '5edf1a4936d1e3cc', '4fdc641d03ea4cfc', 'ee1b42096b7e9290', '195686413a5db857', '5951af157af185d3', 'b0be2931a2325f87', '0c95664d34705102', 'da137a620bd5e31e', '3e3bdee0d09a1df6', 'fbe4178be70f09de']; context = [[10, 55], [115, 189], [143, 204], [29, 93], [42, 97], [32, 95], [64, 111], [35, 79], [6, 55], [55, 103], [54, 98], [0, 66], [48, 121], [36, 93], [192, 244], [2, 50]]; loss = 0.029800 low_pass_filter = 0.300
+Epoch 0: | | 29000/? [4:34:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000validation step 29000; scene = ['4955f54f807ef5aa']; context = [[5, 46]]
+Epoch 0: | | 29009/? [4:34:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 29010; scene = ['fd49de1335b98352', '74d7c2adcecd2b30', '6f5e801f06d3049e', '4f40c57cfb094233', '53c27ddd5ade14e1', '4c9f2a396de81a41', '6b65ff9c9cbf081c', '642cab214d35f82c', '0ae59238a62ddee3', 'fa35f9e55bbdde00', '4618698bb2ab83d8', 'a28c0b4342f96095', 'ff0fdcef9ed61fe8', '67d352381d7a7b70', '94e215648c3a36ce', 'e8ca01ea17b4d5bc']; context = [[83, 138], [1, 72], [0, 56], [8, 80], [2, 45], [100, 149], [11, 83], [23, 84], [10, 74], [0, 74], [80, 132], [6, 55], [1, 46], [44, 118], [134, 206], [45, 112]]; loss = 0.025151 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 29019/? [4:35:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.40, train/active_min_children_step=4.000train step 29020; scene = ['3c92a33b159be5aa', '2fe48b787ff699f5', '59a0a5c091b8dd89', 'a770c86f2059dbef', '75fe4c914a4035bc', '4ede83a5aea0010f', '0dfbccbfd1f98e92', 'b076f2a5b52d1370', 'ef77f5e4ef9e62b6', '2843579651f9596e', 'c7f49b38fd7eefb3', 'cb721728aa3c15de', 'b7614724a495cd4b', '08e0627969b8514a', '0d9643db1fca8e9b', '5c49af63ed05b277']; context = [[54, 100], [2, 42], [0, 52], [69, 135], [16, 63], [14, 58], [20, 77], [161, 203], [105, 173], [2, 61], [2, 43], [7, 81], [46, 94], [15, 79], [3, 45], [13, 58]]; loss = 0.026293 low_pass_filter = 0.300
+Epoch 0: | | 29029/? [4:35:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 29030; scene = ['5ff238d3fbe7ea4f', 'a24967a730ebc2fc', 'd6dba7b939bd71e6', '7c6e11f01c36ad07', '41bbcb5954a17c24', '19f106c5f56ad5e5', '6223b736736550fb', '6712459dd798fb34', '25ec2f2b3a0d6128', 'e12f8fd924b2ff2d', '8008f2d012c86037', '25cc0fc657ec68dc', '8b69ba4b99dcd46a', 'b7f576be65cc4637', '2bedce9198d2994d', 'fb1ce36de4450ea0']; context = [[39, 83], [0, 40], [9, 83], [8, 74], [162, 218], [17, 70], [45, 112], [7, 49], [4, 49], [133, 197], [23, 66], [102, 159], [1, 65], [155, 206], [3, 69], [2, 52]]; loss = 0.026638 low_pass_filter = 0.300
+Epoch 0: | | 29039/? [4:35:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 29040; scene = ['635320fbf02d95a5', '5fe67367df42db12', 'f56f8e7cbb3a78a8', '94feb8753dc588e5', '976678cbd7ca0f6f', 'f50ba46a2e4d9374', 'e2b72d4097132ad6', '47a9fb3d098118fb', 'ce0c76aced4c940d', '7f7fb3ec8006e9f6', '05165cc51d34552d', 'ad956e3a7e0f8e80', 'e9e24be1a50ca8e5', 'fc22b9ea83ee6129', '418dbf076c78be3b', '2a60b631ffbba8ea']; context = [[10, 60], [4, 76], [5, 56], [57, 120], [99, 163], [33, 83], [27, 75], [45, 119], [14, 82], [19, 76], [2, 73], [59, 115], [64, 135], [59, 110], [24, 97], [16, 64]]; loss = 0.025928 low_pass_filter = 0.300
+Epoch 0: | | 29049/? [4:35:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 29050; scene = ['d7fa9860667bd9b9', 'a55c5825e25b380a', '981ea5a0178ba974', '302ea811b8794cb1', '5567dda0eb061dd7', 'bffe648daccd2234', 'fe263d56b953be62', '6f7fb82bc9ee59c0', 'f6524ab7935064b1', '10ff4d2a82201191', 'fbc9e1286569052f', 'cc2a04f5173a1037', 'd2a160a0c95c5a3c', 'e1923ba07570dd9e', '45253de99a5c8714', 'a0846eb1c9a514af']; context = [[112, 171], [19, 88], [61, 112], [98, 157], [4, 66], [60, 103], [2, 47], [151, 192], [10, 66], [59, 101], [0, 44], [7, 61], [4, 57], [47, 105], [15, 64], [133, 190]]; loss = 0.029767 low_pass_filter = 0.300
+Epoch 0: | | 29059/? [4:35:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 29060; scene = ['8f41ead25c924a25', '4d96975986327fda', '4521b22b9c889195', 'b848a571e61f54b9', '4e00dcdc5aceb7d0', '1f45f564dd4f8847', '284acf34f18ddb91', 'a05e5fa0cbf32e4d', '170fd5c0b4a9f64a', '9eb97841e5239d91', '59c3bfed205e6641', '8385639daed6ad35', '3dd55783dba98a3a', '163767f16a78b79e', '96c9a9e1759d9920', '76ae405bf2de98c2']; context = [[156, 196], [195, 267], [33, 103], [8, 73], [67, 110], [28, 77], [7, 61], [55, 119], [33, 97], [55, 109], [3, 64], [39, 85], [11, 55], [92, 136], [50, 123], [9, 66]]; loss = 0.026512 low_pass_filter = 0.300
+Epoch 0: | | 29069/? [4:35:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 29070; scene = ['d61e3b2e212543be', 'bf50f18b2029dd01', '486987230b46502c', '60d30e9ef97fa03f', 'a5af523ff599e4ee', '5420a244b5ecd182', '3f55836ca56d3143', 'dc5b2ce5c61e556c', 'f0fefc8f4bc3e0b0', '9198140afaeb5614', '070e5e467a513416', '6e80761cf03fafb9', '796ff6ded9b7805e', '0ca076d4e9cce556', '912281b34d2c3a9e', '4e51bd2f1763a84a']; context = [[15, 74], [82, 140], [167, 230], [0, 72], [1, 57], [27, 93], [17, 90], [20, 77], [21, 65], [150, 225], [17, 91], [2, 46], [9, 80], [25, 93], [14, 62], [39, 93]]; loss = 0.029792 low_pass_filter = 0.300
+Epoch 0: | | 29079/? [4:35:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 29080; scene = ['9c8e5fa14604e71f', '4fb5a592fc910ab4', 'c6142db747f2522e', '08b2797d44c46c4b', '48c1000f6da27a64', '388cf64d2f0ceec5', 'bf2680d4d480d914', '629d482dda9a53f2', 'a1919a3be0610041', '5ea49c4330735de6', 'a51342b111729e2b', 'cc5279bd4e79c125', '9d73c0ab69eb6a0f', '826c7e44cbfc5d1a', '7a20ba81fb778529', '33425a4e98c558b4']; context = [[68, 130], [30, 75], [9, 61], [34, 98], [17, 60], [2, 63], [7, 74], [21, 89], [194, 252], [25, 89], [20, 63], [9, 68], [43, 114], [2, 65], [24, 76], [7, 57]]; loss = 0.027813 low_pass_filter = 0.300
+Epoch 0: | | 29089/? [4:35:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 29090; scene = ['f8eb2eb62f9a5d3d', '8e30184e671229e7', '959ae101f67ba6e8', 'b32a1b61716628f3', 'f4173a1a3c8a91bd', '047d14a0b379dd2b', '8f8405a3407168ff', '6b88615a41b8d241', '97f997d61d7e6fc7', 'f051690686b5b142', 'f3c1df5b25d1c59e', '679a64c4eda65773', '95369acfcfef50ff', '6cda38bbc58eee0a', 'c3caff907bac80bf', 'f3ebd453f8541b61']; context = [[25, 83], [18, 61], [24, 77], [4, 67], [23, 72], [61, 116], [27, 75], [7, 52], [45, 103], [45, 106], [3, 56], [28, 83], [48, 122], [68, 109], [70, 126], [75, 139]]; loss = 0.025262 low_pass_filter = 0.300
+Epoch 0: | | 29099/? [4:35:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 29100; scene = ['ec193bda727a0e1b', '54cee7146da8c7ac', '534ddfd7e12e4188', '3f4d6eaf8370ea4c', 'aee572e41e752b1c', '315f491567397c4a', 'd68c8852175c0721', 'ae047d3f44cebf1b', '904d484708497799', '2f182e9cad395982', '0b77cefbc721b1b4', '62939c5723d59295', 'ee4e748066074d37', '6374e51e6160a80c', '3758fa83d2a9fb3e', '9c7b700f9c5cc6c6']; context = [[18, 88], [24, 95], [8, 54], [114, 154], [101, 172], [12, 58], [16, 78], [5, 51], [21, 67], [164, 218], [2, 48], [3, 78], [92, 153], [17, 89], [0, 65], [54, 97]]; loss = 0.029421 low_pass_filter = 0.300
+Epoch 0: | | 29109/? [4:35:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 29110; scene = ['66c2a901f10a14dc', 'a752ffdd0cd196ed', 'ba823bca7db295c1', '9ae8ac94ec73f354', 'b13f6387c59e38a5', '068b869b3861f8fc', '9e299e04b20c3f70', 'ff8115bfa598e4a3', 'bccb2d322b8bd512', 'e2d62f82e625ed88', 'a39c6e8f3d9a2a00', 'a7c1244797fc53ad', '41cf7931d87820c2', '0d17e709818fb499', '1c75685f0307f79d', 'c2ed056e761bd2c4']; context = [[22, 93], [14, 54], [28, 87], [9, 55], [7, 57], [3, 47], [32, 90], [157, 205], [3, 66], [67, 107], [7, 61], [14, 59], [103, 176], [161, 217], [76, 140], [130, 186]]; loss = 0.023785 low_pass_filter = 0.300
+Epoch 0: | | 29119/? [4:35:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 29120; scene = ['9a8f7427a9e8c9c7', 'c540fde60000698b', 'f7c2f06c4ad6d7d6', '289a0ef9678c7c70', 'e2dddc85ca109243', 'e575b075dd0ff624', '0efe197d25725842', '32fa2f64dfaacf21', 'f3f4f9da9acefa67', '706d500bd8966fc8', '4ee78f549f4bddfe', '3bc380de39e58a1a', '75cb48e0b83d8bed', 'd814de9932daf6b5', 'aa2175c8bffe8ad9', '90cd35aca00fdde3']; context = [[47, 87], [187, 240], [79, 147], [155, 226], [130, 186], [5, 46], [91, 148], [99, 164], [0, 65], [19, 68], [0, 74], [23, 70], [4, 51], [14, 71], [227, 272], [133, 177]]; loss = 0.027277 low_pass_filter = 0.300
+Epoch 0: | | 29129/? [4:36:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 29130; scene = ['b15bd877d2642313', 'd6d5baec04f87eeb', '42ffa402b6042d38', '78e0a874f9df94af', '03e5fa9b6ed68049', '7bd046d1c835a96a', '8fcdd5420afc8308', '8cb2738ddb065600', '00b5cecbfd7f9a51', 'bc1b917beb473a62', '11321c28beefd319', 'bb9e7d675cc1900a', 'ac584e6fc77676a4', '50c8a233bd82a613', '2e52528c924eec10', '21c6f59110072ea4']; context = [[28, 94], [14, 55], [104, 179], [56, 96], [16, 62], [188, 236], [98, 173], [25, 72], [30, 75], [7, 57], [8, 56], [0, 40], [1, 64], [6, 74], [1, 47], [127, 191]]; loss = 0.029380 low_pass_filter = 0.300
+Epoch 0: | | 29139/? [4:36:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 29140; scene = ['fb9e93054db6ebbc', '17182e5c481e14f1', 'c9ae81970b7075f0', 'e59c541c3c0cc68c', '8f7ee093c756747f', '1d6ed861c30a6c05', 'c1771c630bca02a9', 'c8da67d9fdccb60c', 'f3b614caf5078792', '2a866103ec3d8348', '4f6bf6243912aa92', '82fb9650578cf923', '8e2be4982c66d479', 'b8411d41299a345d', '253e8f820f98d690', '418164772a373949']; context = [[57, 120], [14, 80], [88, 144], [125, 200], [102, 174], [3, 44], [38, 100], [33, 81], [2, 71], [0, 42], [99, 164], [27, 84], [88, 150], [64, 121], [1, 56], [10, 52]]; loss = 0.026978 low_pass_filter = 0.300
+Epoch 0: | | 29149/? [4:36:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.30, train/active_min_children_step=4.000train step 29150; scene = ['8b561563ddd202f1', '174ef1693f1e77e5', '1ff312d5bba3c3b0', '0cdbd14b03904a55', 'ba4a4d54677a1849', 'e8c2bbf9edd2bfba', '060cd8515c39af86', 'f837b3f8bb865890', 'f663bcdc00abd784', '5981332b2e570137', '3cef9da1b69766f3', 'cdff087e9caf5003', 'ad3c210c5cdc595f', 'f6f74463bbcbf1c8', 'f75b1a55b42e01fc', '016349b94babf6d4']; context = [[10, 54], [73, 114], [135, 187], [49, 115], [132, 183], [21, 64], [79, 154], [54, 116], [88, 130], [17, 75], [30, 89], [18, 66], [143, 202], [79, 133], [4, 57], [36, 98]]; loss = 0.025883 low_pass_filter = 0.300
+Epoch 0: | | 29159/? [4:36:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 29160; scene = ['76ef43c1ccfc8990', '91520d618743f9f8', 'dcbc43cc4c517240', '5416177602a8847a', '759c51136f224948', '832a01fdf895e5d1', '7f823efe075dd4af', '86e87e068d318730', '86d1884b9379cdae', 'a383474ec46a9ffe', '4e3af11c191aa004', 'ba5274c1495ea772', '537fbc9d624c6a7f', 'f548180c554e2c94', 'e2c8167e5f23e382', '1a9fd6edb8506ad3']; context = [[28, 84], [20, 72], [4, 53], [3, 45], [20, 82], [14, 69], [9, 82], [33, 77], [3, 56], [58, 125], [65, 119], [93, 164], [0, 47], [26, 73], [142, 195], [169, 231]]; loss = 0.031563 low_pass_filter = 0.300
+Epoch 0: | | 29169/? [4:36:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 29170; scene = ['90d558cf6e28e118', '26088dbd45a7aa54', '30c4e4e000f6e116', 'd19836a61f80f65a', 'dff49a02b469a780', '815e194dbbd8df15', 'db7ab4ff7d59a066', '1028b6409fe844a9', 'a40168cbb4106e66', '50df652eed62ded6', 'd40f8c821c094033', '1045f4f8fd6bdd09', '4a0f95a3db913b56', 'a7957a1e2b7ad909', '107fabf0d1dce254', '91722542cd063407']; context = [[65, 112], [48, 96], [211, 278], [43, 104], [6, 56], [61, 118], [19, 68], [2, 46], [20, 86], [113, 161], [7, 51], [6, 74], [106, 154], [58, 130], [44, 94], [6, 76]]; loss = 0.025029 low_pass_filter = 0.300
+Epoch 0: | | 29179/? [4:36:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 29180; scene = ['d0ed7169ce5f630b', 'cfcf204199e65d78', '344f685ed646c404', '9bb9087199582c6c', '1a90aae528bfbf17', 'ac5450ca3161419f', 'bb1830268cfd1c00', '9c970b5fa11788c2', '04e635016d6fa754', 'aab80bfddd3bd792', '932efe07aae19771', 'be5970de1e55802d', '4cd813b3c22aac8c', '7ecbf7f6564ca9c7', '00b9a7963f9bd9c6', '7715cbb97d4c5712']; context = [[16, 70], [0, 43], [4, 61], [32, 90], [68, 111], [0, 58], [59, 114], [113, 160], [4, 66], [33, 104], [0, 48], [38, 105], [46, 86], [69, 129], [166, 208], [16, 87]]; loss = 0.031011 low_pass_filter = 0.300
+Epoch 0: | | 29189/? [4:36:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 29190; scene = ['84e25ecb06005b3d', '97198df954cb373e', 'bfe0901cfb38d2cf', 'f9807395b04502f5', '790bbbeead8c0e0e', '9d2ab37f027652f8', 'd6038e785afd0093', '5e29bcfae9e5fb61', '537580f71422704e', 'e0ea545b60dd789d', 'e2f7704a1bf6ea91', 'f8991aee27bc5030', '17e47187a25b0dd5', '2eac8683626e6565', '8ca93cee3643af00', 'a3af37daf8b5c893']; context = [[21, 87], [108, 181], [4, 58], [21, 62], [55, 106], [5, 45], [3, 70], [19, 87], [51, 119], [7, 78], [105, 164], [104, 165], [0, 49], [6, 61], [3, 74], [10, 82]]; loss = 0.022004 low_pass_filter = 0.300
+Epoch 0: | | 29199/? [4:36:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 29200; scene = ['4a0b4e760a68697a', 'a8ab50f4ebaccbb7', 'b1c0d6884ffdf290', 'fcdcc21f43af696d', '6574856af56d242c', '290a5651c6af5c70', '57ca8429511977e5', '0c199c575b699444', '74c9f05f838fafca', '22f63765570b2ff2', '60e8f97b17c76a05', 'faf41b1ed7b36a7c', 'cba20e571fef9f10', '25cbe86abb5a277c', '1b7de7185dbc301e', '8579c0a3c2ba0b3c']; context = [[21, 73], [171, 228], [135, 186], [2, 44], [5, 60], [4, 61], [14, 67], [0, 63], [5, 71], [2, 51], [11, 82], [16, 69], [36, 84], [33, 103], [141, 198], [122, 174]]; loss = 0.022884 low_pass_filter = 0.300
+Epoch 0: | | 29209/? [4:36:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 29210; scene = ['6ea945ff5fe11e9c', '0aff995aabd4e623', 'c7e94713ef1f1ace', '6dd4b348223c880c', 'f0b0c2b2fa790b94', '5dbc84083496e415', '9bb0448e7cb2f733', '66c3771cf7cb96c2', 'b730ba2045aa78eb', 'a8cef6a851fbea3c', '0cbf1454a4391523', 'f3b24cf238154fc0', '75790c62002de4f2', 'dff181c503e5c202', 'fd4c9fb0fae56ccd', '57760b17957e51bc']; context = [[50, 91], [2, 42], [2, 65], [138, 211], [6, 70], [20, 79], [5, 67], [197, 261], [30, 96], [45, 90], [60, 125], [28, 96], [3, 71], [1, 51], [5, 57], [2, 52]]; loss = 0.026139 low_pass_filter = 0.300
+Epoch 0: | | 29219/? [4:36:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 29220; scene = ['870061830cde2de8', '68f11ba3fbf25d0e', '3dca87c3d61bbe7f', '1a5f05ecf38c8ace', '11ed455a4973e425', 'fe1fd63f87c9b7b6', 'e40460ece726c71f', 'b8ad9c482b18b2bb', '2863dc06a20a18b6', '3f1d36e6cbc994d7', '64318ff73b2572b5', '2072690f45c56622', '9cd1ed50bfed811a', 'f65e3fc655f7b5b2', 'ab14f474323b2014', 'f26009799d9c5d1c']; context = [[54, 122], [0, 56], [24, 65], [17, 62], [64, 130], [148, 212], [28, 84], [2, 62], [5, 59], [71, 138], [8, 60], [64, 136], [0, 60], [4, 71], [0, 65], [15, 71]]; loss = 0.037336 low_pass_filter = 0.300
+Epoch 0: | | 29229/? [4:36:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 29230; scene = ['df756e2bb1999ee7', '674f584b6f09a890', '9012dcef99974756', '8c2bbeac9417065f', '4d5b55c12c0028dd', '2ee23f8203b533b4', 'a1001a4df99e557a', 'f0fb71e87e8675d2', '9d682af42dd7d886', '82173fff18851e0a', '02bb7b7e42bf32cd', 'b5dd1aef60dcc6f3', '1492f66574082e1c', 'e246a9b66ea77e8b', '5f52d6feb72d9fe4', 'c99c1c0e1f41ec12']; context = [[97, 143], [2, 77], [2, 53], [0, 71], [13, 55], [79, 147], [6, 74], [6, 65], [194, 263], [11, 71], [15, 65], [8, 49], [26, 89], [87, 132], [14, 69], [4, 72]]; loss = 0.031817 low_pass_filter = 0.300
+Epoch 0: | | 29239/? [4:37:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 29240; scene = ['6e7024d848c715af', 'a3dcf985957f8e10', '88fdbfa7f91b3410', '4c48f3917eb0968c', '8769f0f6650d769d', '0c2a293c53fc16a5', 'c049ee736ade99e1', '24ed74968bea707d', '10869961ce9a0083', 'cc66d286f13fb193', 'e58bf9d7af3ee289', '530bcd81d8f61dfd', '3722e45b5966fc7f', 'dbfa4a019a577df0', '146f7025acd4ae32', '559d1c71c237ed63']; context = [[2, 49], [65, 125], [18, 90], [6, 59], [8, 56], [11, 60], [107, 168], [15, 59], [138, 180], [1, 50], [10, 73], [87, 150], [23, 78], [173, 240], [7, 60], [94, 162]]; loss = 0.021757 low_pass_filter = 0.300
+Epoch 0: | | 29249/? [4:37:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 29250; scene = ['d86f4e1c0c620319', 'ce60602e5f8d1f23', '5c285053ca7795fe', '243a4e01f4205e85', '78e66d2115d125dc', '94e0102a60f366a4', '22528b0edd33415c', 'a580e463d43489d5', 'f1413d4b0150c873', '6dc7736fbe5fe64c', '4a5a0d1ff56b3465', '4bdef6c0c3e06ae5', 'b75d90c65923526c', '541ae18b8f936d11', '50194a15c7538e1d', 'a017b0cb12cc18ab']; context = [[46, 106], [3, 48], [40, 99], [89, 135], [53, 108], [31, 74], [147, 208], [81, 127], [19, 71], [42, 110], [0, 46], [15, 82], [35, 100], [111, 162], [48, 94], [19, 62]]; loss = 0.029676 low_pass_filter = 0.300
+Epoch 0: | | 29259/? [4:37:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 29260; scene = ['cb8269f4a827fd42', '1456ee4280583260', '0cdc19b76668685d', '300f90dbc5f5caf2', '4d3919cca0eba102', 'fd11dfd85f7ec571', 'ac42ff7b8e4119c3', 'e89a821f4ae317da', 'd0eb13d884ea1dc9', '7b86053e49f7f783', '641609080bcd49b0', '7ad8fd93e67cf7b6', 'cfd49a8723e2f1eb', '3dc16d11b753e652', '38701953a4bda3e8', '25e9ed466c1826e3']; context = [[59, 117], [0, 61], [130, 172], [1, 46], [5, 55], [9, 61], [36, 92], [68, 129], [16, 81], [56, 116], [194, 255], [64, 134], [124, 176], [119, 173], [131, 187], [40, 114]]; loss = 0.026901 low_pass_filter = 0.300
+Epoch 0: | | 29269/? [4:37:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 29270; scene = ['2dfe3293a5a2998a', 'fb3a76eb4854d550', '98590b7649755555', 'cba780f21d82bb4d', '1ca8998e2fa0e976', 'd27be8b2dfd36faf', '5124f62ded6ed532', '4c3de91ec17fcf1d', 'db3a0c396315ffd6', '7c4d7e4101f650a3', '37d046e89ee31955', 'a3f2155143d6c89c', 'de8327202222574b', '6fd2936069711506', '52f9538ae3c50f6f', '7b2c2fbffc77fb62']; context = [[56, 101], [0, 69], [135, 197], [36, 77], [98, 156], [63, 122], [84, 129], [96, 154], [2, 72], [40, 101], [146, 209], [141, 206], [136, 179], [125, 188], [108, 156], [43, 86]]; loss = 0.025923 low_pass_filter = 0.300
+Epoch 0: | | 29279/? [4:37:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 29280; scene = ['0d21809ec3211305', '1823c7e7ff75c1d0', 'ba856f9451354f41', '12a06166db48270d', '9219c0b67e0ea38a', 'e527185e42bfef1c', '3f185e89d01dc9a5', '97a2da18d56a9288', '4163a3d6474b4086', '9dbc40d2811387bb', 'e92288e233122713', 'dab8595201dc5eef', '2989152c23e49a7e', 'b3d32ae703d1207b', 'acc716bb5aa4c2f4', '8b3b0dcb23b418cb']; context = [[42, 93], [67, 116], [119, 179], [129, 180], [20, 66], [19, 71], [37, 107], [59, 134], [54, 124], [192, 259], [76, 138], [47, 116], [38, 102], [4, 56], [0, 47], [1, 65]]; loss = 0.036928 low_pass_filter = 0.300
+Epoch 0: | | 29289/? [4:37:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 29290; scene = ['cdcdc97ba9dfaddf', '56d7b41096c4a0c4', '85719fc0e88eacae', 'f14da18c7df0a2f9', '3e6d1f9e11e3dc9e', '0ff852b74d9a7557', '3a8f60d224cb68aa', 'e2aaaef9c0310d0d', '8751b1164824cffc', '934acea523f11875', 'b5bcbf6a8f08edd1', '459690a341c549db', 'cdb0d98b47396f65', 'fc44ec58e01708cd', 'c2dc42562c814eee', '845acd6a583ba124']; context = [[40, 100], [155, 216], [42, 106], [41, 101], [9, 56], [98, 145], [76, 126], [87, 152], [109, 153], [2, 72], [150, 207], [81, 143], [77, 128], [111, 162], [155, 221], [14, 79]]; loss = 0.027207 low_pass_filter = 0.300
+Epoch 0: | | 29299/? [4:37:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 29300; scene = ['c636ea40772e539f', '33d8c1a4053c0af6', '8a8e389378f42dd7', '33d9c84df6285c81', 'cfbcac10ad390afe', '6a8068f17b4d5d50', '4e071b367480ff56', '22272b57c7a0c6d9', 'd50d8151d95486fd', 'd8994dd6bafa0fa8', '9f70627c899ece10', '31007ddb2fbda4b2', '52ece28e102eedc4', 'd22a411f16fb174b', 'd54159912c53e80b', '4b1bee2132817957']; context = [[5, 55], [130, 191], [46, 114], [144, 194], [68, 130], [4, 75], [5, 80], [14, 87], [42, 94], [11, 56], [0, 41], [74, 143], [99, 155], [32, 107], [119, 159], [133, 178]]; loss = 0.031345 low_pass_filter = 0.300
+Epoch 0: | | 29309/? [4:37:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 29310; scene = ['b937245ac95ab2b0', 'cb7ea96f12ceed00', '4474d194f5b20728', '95317d58734b4c15', 'd4422938cc00c968', '267652292cce84a3', 'd4e5b689bb8bc4a3', '4ec86da6639d7cd7', '2c19ecb25e0249a2', '2cddbe4c2c7ec918', '77a76b5a1223d66d', '246000abdc7aa3c6', '8d4bb7e26db63eb6', 'b164d2a50ad6e406', '41a3354c28ab740a', '7c2d62eae6516d1e']; context = [[10, 62], [12, 55], [138, 190], [75, 140], [59, 109], [45, 105], [38, 105], [7, 82], [19, 81], [3, 49], [26, 89], [3, 57], [3, 55], [26, 87], [2, 61], [150, 200]]; loss = 0.032780 low_pass_filter = 0.300
+Epoch 0: | | 29319/? [4:37:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 29320; scene = ['e4d0ac09522a4366', '50f6be03ef653e15', 'f1569d827ce5bec9', '37273e37a2c3573f', 'de012df6e6222077', '6b49b064dfdce852', '45b17882258efb79', '426956bab78ab4ca', '86d1360e786d5674', '8c08d0f4c0dfc8a6', '7afc07b02ee54c79', 'f4700ebf3f93ccb8', 'ca5692698819b101', '2899818a923e235c', '8ce4f67c5e2efad4', '381071f102290bd9']; context = [[89, 158], [19, 63], [55, 105], [131, 190], [12, 56], [1, 55], [3, 75], [1, 49], [2, 53], [63, 127], [40, 105], [19, 92], [170, 243], [14, 77], [27, 72], [2, 77]]; loss = 0.024568 low_pass_filter = 0.300
+Epoch 0: | | 29329/? [4:37:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 29330; scene = ['e72cb26fba0596df', 'ddfa8d6604f845bb', 'dedd2069b0d6eb9c', '2279dde65e35a5a3', '1d73b17a7d797570', 'e950efbeeb3072af', '411e896fb7efd84b', '5a2613c4e0967be4', '6dfa81c2d493c456', 'ef735d69302f6d6a', '4d4c57cb988de4db', '94fdf9265bb7b48f', '29a2d24653a37bb2', 'edbbab4152cdeb19', '3fb72160a021e835', '30cf7e0c34993183']; context = [[24, 78], [9, 49], [96, 161], [41, 116], [57, 107], [15, 70], [15, 66], [26, 68], [76, 137], [5, 69], [0, 40], [20, 66], [122, 185], [21, 70], [28, 86], [66, 113]]; loss = 0.028247 low_pass_filter = 0.300
+Epoch 0: | | 29339/? [4:38:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 29340; scene = ['204e1d9acc813002', 'e2a26c414b0a6c2f', '8a57ec2b5a935cea', '70d1c55ddcd4a753', 'd199375842a653ec', 'f400159b3dd78ef1', '97f73b3de5c78cc3', '4188d18d531e631d', '78463c78b97d6cdb', '3c98d600041d2bcc', 'c9a73532f0cc200e', 'c998093c16301e1f', '5b3ebcc7978db790', '779e552026166070', '960176f87cb28bcd', '0c0914577ebe7288']; context = [[53, 114], [18, 62], [15, 65], [16, 86], [78, 145], [212, 256], [44, 100], [99, 151], [13, 55], [22, 62], [10, 52], [26, 68], [23, 66], [20, 94], [4, 64], [4, 68]]; loss = 0.022156 low_pass_filter = 0.300
+Epoch 0: | | 29349/? [4:38:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 29350; scene = ['66ae84fb53b12759', '0a94493d6f4cd4be', '7ff21a679944ada7', 'e793aa73b39e0b97', '155655aa88f2adf8', '3d9e16d8ef4fccc8', '1b2bfb2e03827c26', 'aed762fe049b1f86', '2ddb1fe22016273f', '79e12395e84d7f72', '11c8947fe99c636e', '6163957bb7cd2431', 'f7250d685b344afe', 'a5abf69689e9fa5a', '6721a0a0d0714e8a', '852636eaef9d5b80']; context = [[7, 55], [51, 108], [0, 46], [217, 263], [210, 275], [7, 51], [64, 124], [16, 73], [12, 53], [8, 79], [31, 105], [63, 114], [156, 211], [19, 62], [1, 52], [70, 122]]; loss = 0.027094 low_pass_filter = 0.300
+Epoch 0: | | 29359/? [4:38:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 29360; scene = ['34013a94143379b8', '14bbdd46f201f55e', '8b92b2017c49dc3e', 'e30a1e34da77a86a', '4f81fe7e11e4acec', '092cff6ec159f8ad', '9da383f361f3b1b9', '40b24bcf75266082', '552a181ec308df03', '8471bfc93e219d59', 'ebcb03dca5747b8d', '5876f56d0bc87d02', 'b442e46622525cb9', '94f9ffd4073cbe5c', '84efe2a29ea1c8e6', 'f01c8d83aebef602']; context = [[19, 69], [1, 58], [1, 71], [25, 74], [19, 68], [1, 61], [8, 53], [157, 227], [200, 247], [17, 89], [88, 136], [4, 54], [2, 75], [57, 114], [1, 47], [61, 106]]; loss = 0.027135 low_pass_filter = 0.300
+Epoch 0: | | 29369/? [4:38:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 29370; scene = ['42ff234486b7be0e', 'e6a4719fd1a80cd1', '515d3565a5c56e4b', '88bf46314a638234', '72717b03d91ce484', '92f8c501d9501097', '366fdd255113437e', 'dd26ff97b19327bb', 'f4289cfabb77058b', 'd8003945f6e4e9f9', 'd648986fadfaade0', '816abd1b40aa79be', '56ce6ae5fba77cc9', 'f12074e261728ad2', 'c03c06f0d4264269', '036cf5b39576c192']; context = [[21, 85], [4, 51], [5, 80], [195, 259], [7, 53], [119, 159], [31, 92], [1, 50], [32, 73], [140, 214], [17, 69], [55, 113], [0, 75], [19, 67], [3, 71], [9, 64]]; loss = 0.027936 low_pass_filter = 0.300
+Epoch 0: | | 29379/? [4:38:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 29380; scene = ['6348d919467f3d69', 'ecf31039a6857b21', '9070828f04bd470f', 'd28ef587fc9dfdca', '35a7c7d799ec4dd6', 'e60fae07ea2d3f62', '15b941aff6a4a6f0', '7036fdc80e5f08ec', 'f411cde554331f0b', 'e5c078c662b4d5c6', '726abddb5bbed988', '1200cba9d0da287f', '9e20a3413265809c', '3c598fdb2b6d5dda', '87342b7db71046e3', 'eab03fbbc0207b22']; context = [[46, 97], [10, 68], [105, 166], [26, 87], [65, 121], [1, 72], [92, 162], [9, 73], [10, 81], [0, 41], [46, 96], [2, 56], [94, 134], [82, 137], [2, 72], [50, 123]]; loss = 0.025712 low_pass_filter = 0.300
+Epoch 0: | | 29389/? [4:38:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 29390; scene = ['347f6d107e45db7a', 'f9bddcc58a813877', 'bb9246f8d402bf8c', '48650d395590d25d', '596861bc09c3ab48', '7ecbf7f6564ca9c7', '00b9a7963f9bd9c6', '004bd1e952dc1df8', '1c2a8dcc9d0b8893', '7715cbb97d4c5712', 'c43a51e3fc102e73', 'd35e04e60d0199ff', '67bbca5ca2b592f3', '2578864dce7ca95e', '2bc0c1c27ab45ccc', '794460d142973b66']; context = [[7, 52], [18, 66], [26, 96], [15, 90], [86, 130], [36, 81], [3, 55], [115, 166], [74, 125], [2, 63], [34, 88], [30, 84], [16, 72], [3, 54], [7, 59], [12, 56]]; loss = 0.027055 low_pass_filter = 0.300
+Epoch 0: | | 29399/? [4:38:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 29400; scene = ['61f2bd9a20b9278c', '7a2bec1959eead9e', '2e91b67f2ece02be', '142cb821add92aa7', 'e32ddf4210732a55', '4259c6abf4c8c3e2', 'a66aadfbd6edfe93', '673cbe9d1e7a18bf', 'e3a3ab3176518449', '6315df5198cccad4', 'e03c1f0fb97d8883', '1d3ccb58aefb0ad8', 'b3fbb1c074d470cb', '8fe6257e14ab51e3', '1112900e2462a9d6', '92db9837fec770fb']; context = [[8, 66], [10, 82], [9, 70], [17, 77], [57, 99], [93, 161], [20, 75], [13, 82], [100, 174], [5, 48], [35, 80], [42, 104], [145, 194], [4, 65], [23, 85], [6, 65]]; loss = 0.027551 low_pass_filter = 0.300
+Epoch 0: | | 29409/? [4:38:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 29410; scene = ['030e840a3568e0b6', 'dd9171376b4d5f40', 'f18f14afd3c487e3', '95f88ab4932e5ee7', 'fc801406b1f9db3f', '3bb8ca11ff6e54c1', '0400474c688a355b', 'a92ffea4cbb162e4', '062f247f28a18c88', '6432570e1a1c49f6', '697df23e9f5fb6f5', 'a029fa2714aad1b4', 'f5d5cdb2832d4496', 'd41080892de5082d', 'eff8b7d918bbe2cc', 'e3baec3d11a94685']; context = [[30, 98], [121, 187], [9, 71], [34, 87], [76, 119], [33, 102], [28, 69], [5, 52], [1, 46], [20, 68], [49, 96], [16, 78], [20, 79], [11, 72], [34, 78], [4, 75]]; loss = 0.026329 low_pass_filter = 0.300
+Epoch 0: | | 29419/? [4:38:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 29420; scene = ['9cbb340d21814b02', 'b21e80e1fb0edc79', '7f279e25ddd3092a', 'ada0d0dd176ccfb8', 'e8540008e013e465', 'bd7fa99d58b0362b', '8f74fad88033f13b', '736a39818de2100b', '71dd1a7180379d83', 'de9f2fe2fe21691c', '537c4db52b7845f9', '2427ca82cfad894f', 'd8ad0faac7caff87', '4e588d9d58d1ec06', 'e74747cee3562cb8', '5ae12f0ee3f7ad6f']; context = [[84, 142], [206, 264], [45, 101], [12, 80], [5, 56], [24, 81], [90, 141], [12, 60], [25, 68], [59, 113], [126, 174], [32, 79], [5, 66], [38, 86], [2, 69], [11, 76]]; loss = 0.031631 low_pass_filter = 0.300
+Epoch 0: | | 29429/? [4:38:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 29430; scene = ['353ca9b87c6ea74c', '3352e138ccac13f2', '0a9c59b9430a7e2e', '25732504cdff0b15', '30d07a588daa120a', '13e4423e7785869c', '6c3768786d78dafd', '01e9c887205ad869', 'eed4bc1d32a43a87', '02f8df567f0c3db6', 'a3b6faa8d238d993', 'b0fcf620b2286b46', '2b1f47da224557a3', 'f44b9aa76a94a0a3', 'ab0bc4f20f980b5c', '719e2e8912e4eed3']; context = [[36, 92], [6, 63], [4, 52], [27, 77], [40, 111], [3, 76], [9, 82], [0, 41], [10, 75], [74, 118], [51, 93], [24, 80], [12, 64], [11, 76], [4, 53], [0, 67]]; loss = 0.026708 low_pass_filter = 0.300
+Epoch 0: | | 29439/? [4:38:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 29440; scene = ['a85c79f15c396d71', '693190c152351f08', 'a07b32e9ad5d60da', 'dcf82fd223904b2e', 'c252cb8d56b7bf61', '729dceebf490e657', '4ec6d566d994aaa1', '363fd96c8b649a5b', 'a4e81cb1ef33e750', 'e5ae5d0cde455edf', '24052f7618e5b23e', '76117833d0b00459', '0b27508d9113b492', 'f1f2ab311bf11cce', '73918a89fd11ca1e', '6bacd75a12a4a79c']; context = [[8, 79], [3, 71], [69, 141], [44, 92], [149, 223], [207, 265], [6, 60], [5, 65], [28, 76], [205, 276], [95, 150], [0, 41], [1, 53], [134, 186], [8, 70], [63, 133]]; loss = 0.029384 low_pass_filter = 0.300
+Epoch 0: | | 29449/? [4:39:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 29450; scene = ['9f3e123c0a215292', 'd79f8de02a32cc1c', '781216e5faefd183', '8331a772dd2af270', '11a3dd1e7dbfff9e', '674f97fbd51d9549', '91e8bd693b1e76f5', '7529ef84b12cd05c', 'b1f32a7b0a8e25ce', 'b6509b872612bbbe', '504b67ca30edd1db', 'deb61a82ce6f4cff', 'f5a3eca31fcdabf8', 'a8afd0ccef504316', 'dea4dc2d8a2935cf', '83149280823506aa']; context = [[74, 121], [79, 127], [110, 167], [33, 73], [2, 44], [34, 79], [26, 97], [128, 188], [14, 85], [111, 155], [14, 83], [16, 60], [14, 75], [74, 147], [74, 114], [33, 99]]; loss = 0.023621 low_pass_filter = 0.300
+Epoch 0: | | 29459/? [4:39:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 29460; scene = ['0935c25ded763eb1', '05c29d863074fdef', 'c6e306b85165a748', '40965c5a956f5125', '3830efaeaf900afd', 'fa83934d7b66b475', '65bfa207128b0f4c', '2504fcc45f7737dd', '96d49f97fbf3c97f', 'dc87934d7f34745e', 'f6240fed8b5ff570', 'ebefd3d3a8cdee66', 'b9ec2a6854380d1e', 'ff0c0d8c4fba54e0', 'd63e656427d56186', '48484bc80ab3887e']; context = [[23, 74], [1, 74], [160, 234], [1, 55], [10, 66], [82, 133], [32, 79], [185, 254], [11, 53], [6, 56], [0, 59], [13, 74], [8, 80], [22, 95], [203, 268], [21, 77]]; loss = 0.037420 low_pass_filter = 0.300
+Epoch 0: | | 29469/? [4:39:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 29470; scene = ['04c4eef824be2a53', '4f456caaf8e278eb', '4b0a68d37406a651', 'a2e2c2e66db9a05c', 'a0bb40d77cf75dfd', '4e90b5a00ca1a323', '8a851c87576299ca', 'cb656e90448e660e', '19a215bdcf369356', '2c305d098029d4c6', 'a530f041f0c9a958', '03ec93b385b7c560', 'fa7e7926abc78907', '53f305d17c2410a8', '9ca24075d4c2d88b', '3718696ac560ea92']; context = [[3, 44], [12, 64], [32, 107], [1, 44], [38, 102], [17, 86], [18, 81], [2, 57], [32, 83], [33, 96], [155, 226], [160, 216], [132, 194], [5, 65], [18, 81], [1, 54]]; loss = 0.024365 low_pass_filter = 0.300
+Epoch 0: | | 29479/? [4:39:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 29480; scene = ['c8e2204b0fe7b68b', 'a0f72cf44dc5854a', '33ed58f9ad7d3603', '070e5e467a513416', '5420a244b5ecd182', '3f55836ca56d3143', 'd61e3b2e212543be', 'f0fefc8f4bc3e0b0', 'dc5b2ce5c61e556c', 'bf50f18b2029dd01', '486987230b46502c', '60d30e9ef97fa03f', '6e80761cf03fafb9', 'a5af523ff599e4ee', '9198140afaeb5614', '37b593ab757771b6']; context = [[4, 48], [23, 74], [51, 114], [20, 92], [67, 110], [87, 130], [29, 79], [12, 55], [69, 125], [152, 211], [69, 113], [2, 47], [3, 46], [18, 63], [155, 219], [15, 57]]; loss = 0.026290 low_pass_filter = 0.300
+Epoch 0: | | 29489/? [4:39:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 29490; scene = ['127f81e3100df692', 'd41e59ee023e977b', 'fbb0d0e819f6ffdb', '5d912006291585c5', '6a88748e95763304', '2c8e763f0db800a0', '5383d0771e18156f', 'd1d323471a705a5a', 'da045bbb617325b9', '4ec11705076176ff', '6ca5fd3806df41b0', 'd74fca4960802032', 'adba70f5a653e33a', '57b11cc22a3ede53', '7bc02ca58f80e36e', '32ba23c09bfa8635']; context = [[1, 53], [23, 67], [27, 96], [15, 62], [53, 99], [32, 82], [66, 120], [38, 83], [10, 78], [52, 121], [188, 233], [13, 89], [12, 81], [56, 120], [226, 276], [13, 72]]; loss = 0.026869 low_pass_filter = 0.300
+Epoch 0: | | 29499/? [4:39:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 29500; scene = ['de33a86974a575b8', '53078019d1b8b4af', '470dc27c2123d25a', '13c7f39126781299', 'a5de97e3a325e6e0', 'cc61a2c282667716', 'b56e5327da27836b', 'af9f9ef0469ba964', '04740510b6d96720', '71843154fd778989', '792c3b369bcd98f6', '7d81b28b7afe5738', '6e024fbe00be60cb', '591324b1a786d91e', '8f243526414052a6', '2765f5d2bd45f599']; context = [[46, 97], [24, 64], [9, 74], [4, 66], [23, 81], [11, 70], [72, 123], [0, 46], [25, 71], [0, 45], [10, 74], [73, 123], [103, 147], [7, 61], [28, 92], [33, 86]]; loss = 0.026653 low_pass_filter = 0.300
+Epoch 0: | | 29509/? [4:39:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 29510; scene = ['7cf11ea55f0fa5f2', 'abd87f1b5936bb26', '9bdf01f7f007a388', '30be17507c872508', 'ef1f21f2fd22d7ca', '6f8dd2aaf516843b', '6ed7035ece6b581d', 'f0fbc2d05c030b1f', '33152d559f58f283', '057aed77be9938e5', '84b82a9506bd8483', 'c86dbf4a14acee88', 'c98a8f34da829645', 'c15bde67c4d28f80', 'e33f75937740f4bd', 'd782aeed17560ed2']; context = [[24, 66], [4, 53], [15, 64], [12, 79], [38, 110], [13, 65], [44, 112], [11, 83], [24, 97], [35, 76], [65, 129], [62, 118], [0, 46], [18, 58], [2, 43], [39, 105]]; loss = 0.025600 low_pass_filter = 0.300
+Epoch 0: | | 29519/? [4:39:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 29520; scene = ['6186b4ba6e4b8000', 'b1d62a9da799a54b', '67985c404f000727', '4068f00bd881cddd', 'ddd2fd3db0b2197c', 'bedb0dffc6d80b4e', '12d54b02fe9d16e1', '15bdffd46ed3c134', 'f896f057f530ebce', '1f4ff72d26fbd071', 'd3b0bdaf452577d0', 'c472a0ece0937100', 'c2e363674f808d28', '568246aa43b60985', '62aee613a1a82b79', '6bb7559f2431738e']; context = [[28, 81], [52, 114], [67, 113], [129, 171], [0, 75], [47, 98], [36, 87], [2, 71], [124, 188], [91, 166], [23, 91], [1, 57], [39, 113], [2, 64], [178, 254], [0, 40]]; loss = 0.031768 low_pass_filter = 0.300
+Epoch 0: | | 29529/? [4:39:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 29530; scene = ['deccf4ba5d1bc19d', '5a62e1bb60e358b3', '976c8a707ce214d1', '643e9d9430dd1649', '7cb26f5ca9def3e7', 'ab6240176622f001', 'fab8935910e8b3f7', '8a40913885bb9c45', '78c4c1ec818e5a56', 'b97d8378949ed0b7', '38366abfb0f92890', '9266579d30f7b588', '335068a6ec7f576e', '9f99a95604c4986f', '0bd7d1356643cb9e', '062fa8871944a658']; context = [[39, 109], [15, 83], [14, 77], [10, 60], [10, 76], [39, 85], [32, 88], [39, 86], [12, 63], [5, 79], [1, 76], [185, 257], [66, 109], [128, 184], [51, 102], [1, 49]]; loss = 0.028883 low_pass_filter = 0.300
+Epoch 0: | | 29539/? [4:39:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 29540; scene = ['6dd3679736281d03', 'f64ddc18d41f78fd', '179f1e8a0274c457', 'b06cd5e3d43abf81', 'aff92e6d911876cf', '6b08d0b79ed7f4f6', 'a2811cc9b3a2b453', '64494ce8ea7f70aa', '1340a3f9260ae1c0', '75b728c7db097374', '4fa10434179e4202', 'ed0da0b777821594', '7dd41fbfa1d8a243', '2fd3ab94f4b959fe', '81b1cf9c807d6c46', '799c026348a3a133']; context = [[3, 72], [5, 77], [4, 56], [3, 60], [74, 141], [14, 61], [12, 55], [2, 58], [35, 98], [83, 131], [9, 82], [34, 100], [83, 126], [57, 125], [0, 60], [10, 61]]; loss = 0.022213 low_pass_filter = 0.300
+Epoch 0: | | 29549/? [4:39:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 29550; scene = ['82eea335b00f5e72', 'ad09be69e08a8e3e', 'ef3a08eada7659fa', 'a6e476731dc84ba1', 'f8543f36c4a0962b', '43b0af4992345e28', '257ec8864836da51', 'e1654625696cb3b3', '4e64a4ac8b752f34', 'f84a8896b1ba14b8', 'aff84ce3f9bcc647', 'fdcc00c4d8310e3a', '65161bf7ed37ed8f', '7b6faaa7ddad5853', '16ba79e95f3f36fb', 'cee058b0da530229']; context = [[12, 64], [159, 221], [22, 69], [33, 104], [121, 182], [5, 63], [91, 161], [64, 120], [199, 248], [1, 45], [41, 102], [105, 149], [28, 81], [71, 145], [2, 46], [23, 78]]; loss = 0.025351 low_pass_filter = 0.300
+Epoch 0: | | 29559/? [4:40:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 29560; scene = ['c0dd9c8487fa0e5d', '8aa9c11288e2f7be', '415660809150f2f3', 'ee4076dd13067fba', '16c62242966d54c1', 'ba4f582833218065', 'a3c52e17a3569170', '98063301fa1a5439', 'c38e7f8504f1a608', 'c0b39f7150688ac6', '9f58f065a6a85be2', '1d96d42281a14794', '13bce166ec03bc3e', '6399c5f8ea11e725', '23390a01eb41a799', '3df3b8e8df43de20']; context = [[34, 103], [204, 267], [48, 107], [0, 49], [6, 48], [39, 101], [3, 71], [1, 67], [162, 234], [40, 86], [68, 110], [211, 265], [132, 194], [37, 106], [65, 108], [85, 139]]; loss = 0.026803 low_pass_filter = 0.300
+Epoch 0: | | 29569/? [4:40:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 29570; scene = ['4ec72717091e92c7', '91863ff844766c12', '7064d345b6372da0', '41eca61ee7abdbf1', '4b6f368238db6ba0', '9c4ed2cd8353b8c7', '067c03a150a6535d', '0b3f29e16000d254', '8ee32af7b707a377', '334683227f0e3f59', '11f58bb45f6b246a', '1f0a743ea04c1022', 'a64864550f5058bf', 'b8709511255b1c76', 'c3fa95ae16106a95', 'e5cd29987417f050']; context = [[131, 185], [3, 77], [0, 43], [89, 142], [5, 49], [64, 132], [19, 91], [19, 63], [9, 67], [66, 128], [2, 44], [12, 60], [29, 87], [7, 72], [51, 116], [150, 219]]; loss = 0.023759 low_pass_filter = 0.300
+Epoch 0: | | 29579/? [4:40:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 29580; scene = ['6eb3006004ae5683', '623703e844f4187a', '3afecd065021c4c0', '05aab341d9f7cd51', '09895c510108d81f', 'c5588bc0268e5c81', '1d2c9ffecd057d36', '312cd12b9be29819', 'e6028373d0388cea', 'ed9391a68fe3d44e', '16a3dad8315912bb', '2c6974c8d0fd6426', '09987dcb90444a8f', 'ee1dd370404cf055', '50a15bac1be12d21', 'e7ec28035f8bde77']; context = [[60, 116], [40, 87], [1, 43], [13, 69], [8, 81], [22, 83], [11, 58], [20, 87], [52, 106], [19, 66], [2, 42], [6, 75], [134, 182], [143, 186], [5, 59], [101, 170]]; loss = 0.028752 low_pass_filter = 0.300
+Epoch 0: | | 29589/? [4:40:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 29590; scene = ['e54d2bab1d8c3eb7', '3e983363b5c730f2', '511a709b7ffba3bf', 'bb899c81713bdb22', '96a6ec4c056744f6', 'bf2160e6311b9f9f', '3de78a7d8061257e', 'f7c60ce5a286c245', '2e791e46ea69f1e9', '1c8a1e8e21e118d4', '0754475e197e45c4', '08b93081fdc7e4a8', 'd3591aba84464e08', '58563fe41bd85e10', '07d5b90cb76f75b9', 'c7f0f87a38472823']; context = [[138, 181], [174, 217], [43, 84], [33, 96], [110, 172], [8, 81], [3, 54], [7, 50], [36, 81], [11, 85], [41, 117], [173, 242], [10, 53], [220, 260], [34, 76], [3, 79]]; loss = 0.029762 low_pass_filter = 0.300
+Epoch 0: | | 29599/? [4:40:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 29600; scene = ['77a02b538ebb0699', '4efb43e30a0a1524', 'd5f98d1fd6466c76', 'a7282d85361a1014', 'd510e85f25390e95', '865335fdf2acdc53', 'a2e544fa5a104bbd', '3392e48d1d6b9d8e', 'd43365e35b81ceb0', '7c8e2c32f609e60b', '4394103a63b98852', 'a78dbcf13b6c3b5b', '36701189dc5f94ef', '48fea7f3a73f0298', '9fe3994743e46ce7', '45fd83f6c3984135']; context = [[47, 121], [57, 113], [0, 72], [13, 82], [16, 64], [18, 60], [0, 46], [65, 135], [13, 73], [48, 100], [3, 57], [66, 129], [17, 79], [1, 57], [75, 150], [110, 154]]; loss = 0.027543 low_pass_filter = 0.300
+Epoch 0: | | 29609/? [4:40:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 29610; scene = ['47270cf271f4bc21', '739ef085c903ce89', 'b7b1cd2faf6e319e', '505e0224856fbf92', 'fa5f7cd2c0c956ec', '34abff96d0f4e4eb', '9c7e77f396af4a7d', '156a99bdda94ab15', '9182eb6535116035', 'a4e1c1a1fd21c031', '7944997c5cc8d4a3', 'c72e5c5b93465fd9', 'd9d387021859984c', '07d45f8aec3ef9d0', '10a912a578eab6eb', '6c588b310610da28']; context = [[21, 76], [89, 154], [8, 68], [12, 76], [30, 100], [8, 82], [33, 97], [4, 53], [32, 74], [40, 104], [8, 51], [148, 213], [48, 98], [44, 117], [91, 159], [26, 87]]; loss = 0.026342 low_pass_filter = 0.300
+Epoch 0: | | 29619/? [4:40:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 29620; scene = ['5ddfa89cd16d9f2d', '68842b6d271df7d4', '27a9b26dd1400ea7', 'e1ef6aed4b57bf08', '1a7bfa27113fa19e', 'c6fb7d0d9e21a6c5', 'c08079d5edf74f3c', '8854b4da58a5000d', '891fe4fa21d022a2', 'c338b5625ab72dde', 'c5c0ca1ed57d6f0d', '08f243f58cbe5d22', 'e9554c14b787529e', 'ff66bd5382658cec', '9af2ad7f7fe8589d', '270644731647fb92']; context = [[95, 155], [39, 92], [46, 105], [67, 116], [96, 155], [86, 161], [37, 99], [7, 75], [30, 70], [90, 153], [21, 88], [102, 165], [37, 94], [49, 104], [5, 47], [106, 148]]; loss = 0.027312 low_pass_filter = 0.300
+Epoch 0: | | 29629/? [4:40:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 29630; scene = ['bcffeca308e9651c', '830e472fdd20b6df', '55f2830fc736529d', 'ded38d3ae876e8dc', '861453c483faf282', 'b4c2e12ad3d75efd', '9005d1006b63b2ab', '0a1aa875aca3711d', '8868de3626699c63', 'aa416065dac5210f', '02819374b5398ef1', 'c7fa7cba2aa2da8e', 'f8f9eaec8ab860f7', '15b8f7652036db12', 'fe6b9b80b0e6a8d6', 'd02327b51b3bad30']; context = [[0, 70], [33, 77], [7, 64], [2, 42], [103, 174], [4, 47], [75, 147], [1, 42], [1, 52], [4, 49], [46, 108], [2, 56], [22, 71], [7, 60], [12, 74], [24, 68]]; loss = 0.027494 low_pass_filter = 0.300
+Epoch 0: | | 29639/? [4:40:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 29640; scene = ['716b0452489bc0ed', 'd4203bd6aaa103bb', '397238dc9e81dd73', 'aff25f0e55fb90c0', '940c97739607f0f5', 'f99d96f91f145e15', '6348514daf33d801', 'd1ed6469def17181', '15a1084d025522ce', '9d0585ff11d30bad', '0229f60ec409f031', '0d584ee47b1581b3', '165dee80c83d99d8', '6ba0ee10f98864e3', 'ba76b759b2227043', 'dc49dc3addb7cae7']; context = [[25, 100], [19, 76], [33, 103], [9, 51], [81, 129], [10, 74], [9, 57], [3, 51], [3, 55], [47, 88], [41, 106], [7, 63], [3, 43], [31, 81], [67, 131], [12, 57]]; loss = 0.023661 low_pass_filter = 0.300
+Epoch 0: | | 29649/? [4:40:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 29650; scene = ['76fb9550ad54d54f', '06e44b2d2a485af6', '9c4156a954e9b35e', 'dd16b7363e558119', '08c3797bcc0cd877', 'aa2d001cd7abbde8', '57431541b1a92a38', 'f128f0ff23b870a1', 'cae1cf64527a0ee0', 'ff14df34b44752e5', 'fcf4a08c1185110e', '1dcecfb91ab92796', '4f89397e0e0bb483', 'd70925635aa5861b', '4894ab3cd1054344', 'c91b2a4cab7956e6']; context = [[5, 51], [27, 87], [80, 145], [192, 256], [40, 84], [40, 102], [4, 50], [48, 96], [22, 68], [11, 61], [53, 113], [62, 103], [83, 154], [1, 49], [107, 147], [3, 60]]; loss = 0.026128 low_pass_filter = 0.300
+Epoch 0: | | 29659/? [4:41:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 29660; scene = ['f5802f62bde9dc37', '24d06a668d2c19a3', '11f7a2991ed95c71', 'ba3e9afca036217c', 'a079d54e5e92105e', 'a0bb4a665ee9fd46', 'c9e4480bbfb4e0db', 'cc155e5c5b49b6f8', '3c6f08385f14dcef', 'b567b028a8f5866a', '863150365b96d490', '64b678d5084f9868', '43b7abf89a494856', '1ff9ce1364d2efb1', 'a9a48de4023eeb04', 'ced2fa332f79e8d7']; context = [[6, 73], [10, 63], [61, 101], [9, 82], [40, 92], [15, 69], [32, 90], [36, 102], [66, 130], [10, 73], [32, 85], [1, 42], [157, 228], [15, 59], [13, 89], [43, 87]]; loss = 0.028656 low_pass_filter = 0.300
+Epoch 0: | | 29669/? [4:41:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 29670; scene = ['1a5cd254714d47a6', '76f03f41f591d31d', 'f55fb3b30b920fc3', '9968065bf8012a1d', 'b790206a852507f5', 'a2b025627d179842', '8fbfac2158a025c4', 'cc34866a3da9fe2a', '3e82f9fbbfe76afc', '5790f3223cba0631', '3db04094ed108067', 'e77d1067701c05f7', 'f7933b7f0b1b4d8e', '45617cfadeea621e', '431fd85eeee086ee', '6b2d9a2c36445976']; context = [[8, 49], [120, 166], [19, 70], [50, 99], [7, 62], [13, 70], [9, 65], [0, 74], [21, 62], [10, 58], [114, 188], [22, 78], [1, 61], [0, 67], [223, 268], [14, 62]]; loss = 0.022808 low_pass_filter = 0.300
+Epoch 0: | | 29679/? [4:41:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 29680; scene = ['357632990cc0f792', 'ef54866ee11f3890', 'c718b29875d6057c', 'ebbb776f5c426ae2', 'c2893d4152103f88', '46a99cf9d8defcda', 'dbe8fb4a958ea306', 'caf7c83470c7f539', 'a5c5d22eb6353af4', '624baa6ea21a2be9', '2aaf84176521c42f', 'c92d3baa79f78d32', '51f33cc6d9666bb2', '95c06eb39cbc2f89', 'f792272e396d1964', 'eb09cd7e9ffbe950']; context = [[6, 59], [18, 63], [174, 238], [26, 101], [77, 131], [84, 139], [85, 151], [25, 94], [179, 221], [91, 158], [93, 141], [16, 67], [8, 59], [7, 64], [21, 90], [59, 107]]; loss = 0.103702 low_pass_filter = 0.300
+Epoch 0: | | 29689/? [4:41:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 29690; scene = ['4c212add50c782fc', '6306786de63f1537', 'ba7c5eded1b76b25', '5427c242a29c1060', '1c3010c2c0cd711a', '8438b810e7c30689', '17c771028b71dd80', 'c745ed02d695fe65', '826f9c6fa7a3308b', '9952836698ab487a', 'c8e5699ffc5f3b3b', 'a5fd81e45eaea47d', 'ff6ac8d2fdd0b884', 'c26c2e3257c2d464', 'c51d0c23240a5ad8', 'a3c9ffcea941f481']; context = [[69, 141], [4, 76], [13, 83], [180, 231], [84, 124], [21, 75], [41, 100], [44, 119], [20, 60], [3, 77], [47, 118], [50, 92], [96, 155], [54, 100], [140, 193], [60, 111]]; loss = 0.025523 low_pass_filter = 0.300
+Epoch 0: | | 29699/? [4:41:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 29700; scene = ['2890aa482291c113', 'd18eaa6a82142d00', '26893e8faa27ad77', 'f1ce31f915df235c', '57208c486011b4fa', 'f9eb8c2d022ce6e9', 'c32dd4434795899d', '63db3bbef4dd3361', '6d6584316ab2f275', '631c3172963b11b7', '4b2b029342dadc34', '1c1f9522b35b043b', 'ea2f6ee9bdc6bddc', '3c9d47fc8d341a60', 'd3d18ffce48db33a', '21d7dc078fd4db7b']; context = [[60, 128], [24, 69], [3, 53], [0, 56], [1, 45], [1, 59], [89, 143], [9, 63], [4, 44], [4, 58], [117, 158], [20, 70], [1, 49], [13, 77], [32, 108], [30, 81]]; loss = 0.025895 low_pass_filter = 0.300
+Epoch 0: | | 29709/? [4:41:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 29710; scene = ['959f1359e772c180', '5d7b26275b9bcfaa', 'd4e12bcf9891030f', '694c3e22993c93ce', '14da8693f9a9c525', '1549c79479f866a4', '472c849ac7e496ed', '0e0ee14ebe357bd3', '7b926542fc32c523', '83e6990375012c01', 'b61c891c19c16e0b', '25c9f4c4b7f11345', '6ea1630d2788ae9c', 'e81b4ccfef500ad7', 'd729f23a3f21f212', '3bc2c74792b9cbd6']; context = [[10, 80], [101, 149], [55, 122], [15, 88], [21, 74], [0, 41], [10, 62], [48, 88], [35, 93], [49, 111], [3, 50], [4, 53], [24, 65], [3, 48], [7, 48], [5, 66]]; loss = 0.031228 low_pass_filter = 0.300
+Epoch 0: | | 29719/? [4:41:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 29720; scene = ['473b916dad00fc45', 'e952c4a90e3e9b1a', '0c262b6bc566b453', '5f599b35b87b30ab', 'f3663bd0444d3f5e', '3dcc869dac9f202f', 'd6625cb538e7f064', '41c2363d43d3d712', 'd79a09f5a0487ad2', '4787f5b4b5402ca8', '1220a49e5babaacd', '96f6c82c9c693df4', 'ead979aa76eaa492', 'e9a1cdca9abf71b2', '3c136b7d09306029', 'da54e4571a2f4637']; context = [[143, 219], [57, 116], [53, 118], [2, 76], [15, 75], [62, 136], [7, 54], [7, 81], [87, 143], [1, 41], [15, 69], [195, 271], [40, 107], [29, 87], [9, 59], [173, 232]]; loss = 0.030501 low_pass_filter = 0.300
+Epoch 0: | | 29729/? [4:41:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 29730; scene = ['91245106e17ab7d8', '02117ff3b3d4530b', 'a8c50decb758680d', 'cd9a2a66101702dd', 'bdb3cfd2caf40d2c', 'b7edd79abf6abf18', '8fc6704ed8465c3f', 'e60114b10c6a70e5', '2e3b7c0955984c0b', 'ee09ae34a0720fac', '404cc5a0fd0a2131', '68770b0db8ad1d3b', '80773003e0a7eac2', '4697c4de453f4c04', 'f8186b350aaa2775', 'bce3c137c2effa16']; context = [[7, 61], [9, 58], [19, 82], [126, 169], [59, 110], [1, 48], [41, 84], [99, 162], [50, 124], [46, 106], [7, 57], [35, 87], [117, 157], [52, 100], [21, 97], [12, 58]]; loss = 0.025413 low_pass_filter = 0.300
+Epoch 0: | | 29739/? [4:41:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 29740; scene = ['79498fcd587e86e2', 'ba1e4de5c9e38f86', '279c176b2a4091b8', '733480741047ec53', '411c0976614202ad', '838b5149ad3eeb17', 'e7488536a76776fc', 'ee0d5c09f39c05ab', 'ae13f514aa006405', 'f4caf7185c45770e', 'ea7114098f5d77f4', 'ab95f797d73c50d5', 'aee321e88081eb14', '52bdc8c419fcfd68', 'd49e41d133d0b08a', 'b2a5a5d457aac9e0']; context = [[93, 163], [46, 112], [40, 94], [5, 53], [28, 71], [2, 56], [1, 74], [0, 52], [126, 183], [29, 92], [17, 67], [4, 72], [21, 67], [6, 67], [102, 159], [187, 243]]; loss = 0.026841 low_pass_filter = 0.300
+Epoch 0: | | 29749/? [4:41:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000train step 29750; scene = ['d8445efc40a8fca8', 'ab4b384f7cb7f24b', 'e02e87df15575cae', '53f494ba124765ae', '0e993fce1ec5e3b0', '28c6e30097e8726a', 'c907383e19bd6b5b', 'f307d40c2056a111', '2de0cff7a63a8cce', '7a9685caea3ebaa7', '4138ec075d5e0fa8', 'a1bdb4b46cefa590', '188b99642275e964', 'ce7a77654ed24cb3', 'ec84ce0719717d39', '46d0af2861fcfbe0']; context = [[4, 59], [19, 64], [17, 64], [13, 69], [13, 59], [4, 77], [12, 57], [11, 64], [0, 53], [15, 57], [63, 133], [41, 105], [3, 71], [46, 121], [86, 147], [13, 72]]; loss = 0.024298 low_pass_filter = 0.300
+Epoch 0: | | 29759/? [4:41:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 29760; scene = ['51e99330cbe8b36a', '95cd0bad15de18a9', '9a2d4c60e9585ed7', '04de1a4925ce16a7', 'aa801c6cfb72fdf8', '2c3bc0c318fa3771', 'ea2343e4a390441b', 'ff4fb430b2108b32', 'cb3bac70297d52c0', '9c086d61e7ef8fb3', '2297175d2417198a', '698598a706fa1d4c', 'ccf979a89967562e', '356d8879ab6bcfb2', '44b340e3529d5406', '7f3c4cd002ffbf71']; context = [[0, 65], [71, 116], [129, 191], [60, 130], [0, 46], [2, 70], [11, 70], [28, 97], [124, 196], [2, 62], [34, 81], [218, 271], [4, 50], [18, 68], [20, 61], [99, 159]]; loss = 0.027564 low_pass_filter = 0.300
+Epoch 0: | | 29769/? [4:42:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 29770; scene = ['555f1845dcb38293', '6f82fc8f2c6cf936', '83d154863471b87c', '746a2e815cddd8ab', '769783c83e98144d', 'a06c5145c9419ec7', 'c133fe1ba03631b8', 'e07365117a8b4c36', '6c63e747c6ccac2e', 'c643352d8ccc08d5', '13afba22192e2919', '1164844756dd90a7', '15c9a1e812246b15', '883cb5e4ab95ebe6', '42a118392a6d7d4f', 'ee605ae319bbb3e7']; context = [[27, 100], [44, 93], [6, 78], [125, 181], [15, 59], [75, 135], [62, 127], [51, 93], [42, 88], [189, 230], [32, 98], [145, 201], [25, 86], [0, 40], [7, 52], [26, 70]]; loss = 0.027735 low_pass_filter = 0.300
+Epoch 0: | | 29779/? [4:42:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 29780; scene = ['52039b2a260ada3b', '9a5c2d57d37507c8', '4af7dec0791abc1b', '4f049727be4632a1', '3bfd64c3fad672d6', 'd6ef451e7daf67d7', 'bc27ff6ce76243da', 'bd61fccd488024e7', '37be8109577b927d', '99fbde3ad90233bc', '9e41975990090f8f', '4596493f1773dba3', '8823e8d69657f66f', 'faa70f7f35d029f7', '5517b6c42dc7d179', 'c1baf235b1b56247']; context = [[154, 227], [7, 77], [43, 108], [17, 90], [11, 67], [146, 187], [81, 127], [8, 63], [60, 103], [63, 129], [101, 145], [12, 67], [6, 63], [18, 60], [122, 173], [105, 159]]; loss = 0.034370 low_pass_filter = 0.300
+Epoch 0: | | 29789/? [4:42:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 29790; scene = ['3d229b1736c3da03', '9ec82e69c998338c', '03cdf56cecafe4b4', '4258414b5b835ff0', '346f452e9dd837f4', '92f242cbb25131a6', '000d2139ad05dc85', 'b489a5e69f2103d9', 'c4739a6b632f2588', '0dd1d031a21641ab', 'e2ba8a4cbe366a30', 'd602f5daed73334f', 'fc2ad2a73c24bb7f', '46f261198c91d5d5', '7d499b35c809b2f3', '80c93f2de4900d46']; context = [[3, 56], [30, 76], [57, 125], [47, 90], [28, 92], [0, 43], [17, 66], [5, 64], [110, 185], [18, 94], [26, 66], [32, 98], [107, 167], [67, 112], [36, 84], [1, 43]]; loss = 0.030773 low_pass_filter = 0.300
+Epoch 0: | | 29799/? [4:42:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 29800; scene = ['c9369bba1b6bf33a', '1eb7654c68d43f2a', '51216ee3a8c41701', 'c7913fcae40aeed5', '3eb2a8c2dd9f7d25', '0ce0280408216d05', '42000d5a83b48ee4', 'a0b45bab75d35ee0', '625e3aa0ff734714', 'b1de49fea231bb59', 'd2dd3b46d9903314', '2bfb1fdeb47c139d', 'f92964360d184d99', 'bd99ad1d47bb9005', '04b859d3d26366de', 'f4b06ed6e137cd5d']; context = [[85, 144], [14, 88], [56, 115], [11, 54], [44, 88], [30, 100], [1, 71], [7, 68], [8, 83], [27, 102], [96, 145], [38, 112], [1, 41], [12, 60], [0, 63], [93, 151]]; loss = 0.028643 low_pass_filter = 0.300
+Epoch 0: | | 29809/? [4:42:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 29810; scene = ['14267b4877f2bba2', '92cf14163fe6b2ba', 'e6927e3ec3898166', '6e2a3910091fd84f', '9e912cd1f7d18579', '96eefde05abe8721', '24666b018cafaaa9', '1a27a41d548cb8d5', '2a2885f3acb57e98', '0a1c6a4cd53b9fff', '9525a072309439fa', 'd12ccb9176baca06', 'de36333a5c68eb32', '98f7a067bbb96008', '807a812350f25893', 'd7f2d82f83e70693']; context = [[23, 71], [18, 88], [8, 79], [129, 196], [0, 66], [107, 171], [35, 103], [26, 95], [54, 113], [7, 49], [59, 120], [14, 66], [3, 65], [3, 63], [38, 113], [10, 61]]; loss = 0.028619 low_pass_filter = 0.300
+Epoch 0: | | 29819/? [4:42:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 29820; scene = ['9f5b27821287f77e', 'f5d145d13f999e17', '002a58afaeaf24c9', 'b4ce98b34258cf50', '01f0793599666c23', '2ffb2a302c2eb8bc', 'ce72dd0a8a955b6b', '2b7009b7846c67e5', 'bb2f78e9c66d752e', '35fe38c771b332bd', '506c7067b8d54db9', 'b6f25dc2b753e432', '668193bde2b21db4', 'd10e440ff0a99a23', '4f2bfe280d413022', '4fe12b24324c7c47']; context = [[21, 71], [46, 105], [62, 112], [4, 74], [77, 131], [43, 83], [9, 63], [3, 68], [60, 134], [5, 80], [2, 68], [3, 52], [37, 92], [107, 150], [46, 97], [68, 111]]; loss = 0.025786 low_pass_filter = 0.300
+Epoch 0: | | 29829/? [4:42:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 29830; scene = ['8024a13b551c34cc', 'a8a2445b40f0ee30', 'd297538f14da1f52', '8719fa7d74daa634', '0da1ec5684bb7324', 'f4e169b7394250b0', '1c7f6e9252a56933', 'c83fa4955ce845b6', '99e513749f0aa3df', 'a100e3e5a44b9087', '9b92a1a5dedd759d', 'b953e33b08009f7d', 'ffb6679f3ee529a8', 'fb1ea1bcbb11faa9', 'bfee9355cfa1bf11', '2e56f864030ef8d7']; context = [[43, 97], [107, 167], [203, 261], [58, 115], [1, 71], [101, 160], [46, 102], [87, 134], [0, 41], [0, 47], [63, 116], [0, 66], [12, 56], [72, 144], [7, 78], [5, 54]]; loss = 0.028837 low_pass_filter = 0.300
+Epoch 0: | | 29839/? [4:42:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 29840; scene = ['ab105e8f1d99150f', 'a43662d2b5050d3e', '5bab39c110682f57', '67244928d64036d0', '71158ce6e52f006e', '7e33bb2341a764c8', 'f8c397088d14b26e', '5ca2454d5e17ce03', '654bf5d9ea7c6074', '5a4291ddb11a24e8', '8a6de3060d69e024', 'f16926351498b37b', '5d670c58f45b4c1e', 'c6c6e42b867160a3', 'a1d20c059e8f4779', '5e33cda6da0fe7a6']; context = [[24, 72], [7, 69], [7, 52], [11, 59], [18, 65], [114, 164], [8, 73], [101, 159], [53, 106], [10, 82], [92, 132], [10, 58], [3, 54], [1, 43], [4, 74], [47, 115]]; loss = 0.025647 low_pass_filter = 0.300
+Epoch 0: | | 29849/? [4:42:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 29850; scene = ['3582b54a8e7095ed', '9aa06b976e5ab9a0', '2844cf44f8918214', '0ed48ea3fae159ae', '04f105ada75a23a5', '2fea2eddb904396a', '54dd72dab33e9306', '65e9f8984bd38083', '3849372892bb6536', 'e7fad36853161638', '2a7384bdd4ba6392', '6d5f9095cda559cb', '902534468722d0a4', '3cfeac5e37c2dd0b', '049c68b1ba3b62da', '69d8221a5c505e93']; context = [[1, 76], [6, 81], [9, 80], [14, 60], [56, 103], [43, 88], [16, 76], [33, 90], [0, 57], [66, 110], [35, 84], [56, 100], [10, 74], [30, 100], [58, 114], [20, 79]]; loss = 0.023193 low_pass_filter = 0.300
+Epoch 0: | | 29859/? [4:42:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 29860; scene = ['c572ac3284157a08', '86b09ea5b794986b', '7b914f996081f191', 'a54e82e91e5f96d6', '7e0b1a41506a74b1', 'c061d3130154ac45', '75bd48450ea50266', 'c5d56903d7ae7f56', '08891ca55eb55112', '1c54df59fd1b67f4', 'fae7f132e19f6e6f', '72bac7dc0c3a7f6d', '4320e900cf5f7074', '77ace1e7ac8d2492', 'a4ca4b8b54598cfa', 'de9fec8ca2fd7942']; context = [[21, 81], [14, 68], [88, 162], [31, 88], [1, 59], [9, 73], [36, 90], [151, 208], [43, 83], [3, 70], [77, 140], [128, 168], [38, 96], [43, 114], [7, 74], [9, 63]]; loss = 0.024847 low_pass_filter = 0.300
+Epoch 0: | | 29869/? [4:43:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 29870; scene = ['a9a97381f3c0d9a1', '76fb9550ad54d54f', '076a3cb985c80010', '15c7be1c31e5dcf5', '019a00cb0729daa0', 'e2633bd88045350a', '590a96bdce2b6f66', '518b7ff041c71f35', '11e2d9eec65ec014', '49f52e9a0e83383a', 'bce06efba2b1d37c', '4c3228043c66d20e', '6f1508676b76c4f7', '1f0308acd5b5aed7', '35b4f262621408f8', 'f807936e20d8a3dc']; context = [[15, 81], [0, 65], [5, 71], [19, 61], [43, 108], [58, 120], [53, 95], [5, 46], [2, 78], [34, 109], [8, 83], [23, 69], [20, 74], [8, 68], [146, 220], [27, 100]]; loss = 0.028431 low_pass_filter = 0.300
+Epoch 0: | | 29879/? [4:43:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 29880; scene = ['d673c1599cd086b4', 'b948ce0680ae4e32', '9eb8e7f262b10c23', 'c3774b5bec23a553', '637b4d4424886b66', '56ca12de78c49588', '1e577c2db0f77f6a', 'efdf5de615e94ae0', '2e62cfde60be91b2', 'bb355d47dc6297ab', '77c003fdb097bd57', '29ce6a355ec64999', '4a799d9c15a25e4f', 'a68a1811510d9752', '4a4cf92146dbf416', '0af825db9b9ad51b']; context = [[11, 67], [23, 72], [29, 73], [55, 107], [21, 94], [15, 83], [0, 52], [53, 116], [33, 94], [48, 119], [93, 147], [209, 261], [20, 65], [2, 50], [141, 184], [3, 71]]; loss = 0.029146 low_pass_filter = 0.300
+Epoch 0: | | 29889/? [4:43:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 29890; scene = ['c1d130d5d25415ba', 'e08993b4d6d78756', '8ead50093236804b', '8152694c7e03b0c3', 'bc1c008f39715ef7', '14f3add9df8c5c11', 'a7930e5ef55f35e5', '8055cdaff88d9bba', 'f8acf602b1dafce1', '2962fbb4bfaa1f12', '3151db5299095375', '50c8be69eeb534e1', '108b9614c137e493', 'c08033a1903bc740', '299413c1beb0e49e', 'f0f62401af0e2e2f']; context = [[17, 57], [10, 82], [48, 90], [11, 70], [95, 162], [104, 164], [2, 54], [14, 81], [1, 72], [52, 94], [70, 132], [86, 146], [93, 152], [44, 110], [0, 42], [148, 216]]; loss = 0.025858 low_pass_filter = 0.300
+Epoch 0: | | 29899/? [4:43:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 29900; scene = ['7a1a53e2b48f3704', '083d960e926d3fd0', '4940baa330eb5eab', 'e468af0a0f261461', '5f47e9254ac35b30', 'bdb91e0ceb20b277', '652e2802174afe53', 'a9c46ac5493ff50a', '22e924b9bd3f671d', 'e47c511cbc88c8cf', '507b5a777e8b7517', 'e41eff9093ca7ba2', '857b8b79d1d97fc6', 'ab0aa8aa12dbeb28', 'a78160aa2032339a', 'a768697c4930ef01']; context = [[1, 74], [92, 158], [22, 77], [5, 80], [105, 160], [44, 116], [44, 116], [44, 85], [76, 127], [50, 119], [18, 58], [1, 65], [12, 76], [39, 114], [141, 210], [63, 126]]; loss = 0.028671 low_pass_filter = 0.300
+Epoch 0: | | 29909/? [4:43:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 29910; scene = ['313cc78ecf6c53cf', 'b7d197b74ecf0646', '43d042f674f94209', '971586ddd0d6a4c7', 'aa46e13f5533ecad', '66fd7a5ab38b46d3', '8133c5c5e0b6da9f', '04990e0e0320ac2d', '335f19bb2ded2e2c', 'ee1b443b2c28405d', '9cedb8b2ef4174aa', 'e52cfaf24f493d5c', '85dcedd1ced0a5c7', 'b90a83734094c8b0', 'ea37055c196b5e20', '1188e171a4f746d8']; context = [[7, 62], [145, 197], [5, 49], [21, 62], [9, 84], [8, 51], [47, 104], [3, 51], [39, 83], [49, 123], [44, 115], [11, 84], [69, 115], [0, 70], [20, 70], [0, 56]]; loss = 0.029159 low_pass_filter = 0.300
+Epoch 0: | | 29919/? [4:43:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 29920; scene = ['6587a582e70da65e', '9ed566141bd48703', '2589ba4f31031bd5', '1193dcc37cc6cee5', '062a71646932bce9', 'b281033b87f3c95e', 'b63963a25fe3c953', '7ecf7d574c35ed13', 'a8486b8f4f762d05', '2b9cbd635854b62e', 'e59c541c3c0cc68c', '38d17287a2d1b35e', '4e2fbc828c9fe2bc', 'abfb3e8af35aef41', '3e0497b3be34d492', '1d6ed861c30a6c05']; context = [[110, 159], [4, 48], [50, 101], [112, 166], [52, 96], [12, 76], [75, 136], [26, 98], [36, 77], [58, 130], [92, 149], [18, 76], [0, 40], [0, 40], [153, 195], [6, 51]]; loss = 0.026431 low_pass_filter = 0.300
+Epoch 0: | | 29929/? [4:43:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 29930; scene = ['fe6824a4a09b11e0', '98ce0acd742da43d', '75395572e67504f1', '69f4af955f0c5456', 'c29cc54efc535e57', 'f7d98971d27dfe00', 'f43d286d12845522', '2f3a17c1963f8747', 'd13f87ebbb540503', '54dd0f01e6fe3732', 'c8c02283a21fc50b', '66cb40e5ae133979', '3e7d9e9d11520831', 'dde251c214658896', '6919a53cacc3e63f', '0a17ebb98cbae36a']; context = [[25, 83], [162, 221], [34, 103], [45, 89], [53, 104], [0, 55], [131, 175], [208, 275], [10, 72], [26, 96], [25, 74], [15, 86], [52, 125], [20, 91], [40, 115], [0, 61]]; loss = 0.028547 low_pass_filter = 0.300
+Epoch 0: | | 29939/? [4:43:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 29940; scene = ['af72f5eb3b6193e9', '14cf0c360a00550a', 'ab5aadbe6d834fcd', 'd81177196427a1d8', '74d01ad913965b4f', '4813e06ec55ba35c', 'e572cbd7129940af', '8edc47d4d783fca2', '29cbd3d1ea610876', '7d7aadd0fb7e9516', 'e55f763ae26e52c3', '0f93fdb52c6933cf', 'c1f32a7a7ec37d39', '6187332401a328eb', 'a3a5e373d876db0e', '43ff97dde0957aad']; context = [[7, 74], [115, 159], [82, 124], [9, 68], [30, 97], [168, 240], [45, 110], [8, 53], [64, 130], [2, 51], [19, 84], [59, 123], [5, 58], [81, 126], [39, 114], [10, 55]]; loss = 0.030910 low_pass_filter = 0.300
+Epoch 0: | | 29949/? [4:43:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 29950; scene = ['8887dc8e1d0fa377', '5604225ddca0c7d5', 'c0be85aa74684dcf', '8d2343fa49c60b9c', '038f6464b4f58072', '7ad1fce2b0339169', '7c6647e38feb3dba', '22644c4fbf43b33b', '9e732e959082a6c4', '22b9f16c8dd1e8df', 'bd4c297469c2bc4f', 'e381359e340285d0', 'b64c39c43cba1b56', 'f0b8a9c3ce97c71e', '305c01eefbbc2612', '72c2b1bac8dff909']; context = [[79, 127], [154, 204], [31, 71], [35, 99], [10, 51], [12, 55], [5, 63], [200, 276], [1, 44], [20, 68], [17, 89], [91, 158], [0, 48], [201, 251], [52, 110], [50, 97]]; loss = 0.028126 low_pass_filter = 0.300
+Epoch 0: | | 29959/? [4:43:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 29960; scene = ['16fccc4a79f5d064', '721e2ff6feff2137', '80cd3bcbc1be5c9f', '2f8e9839ebd582cd', 'f5a777195b9d4286', '108ba78f9946d978', 'a5d9b402ed01bf4e', '72c72e43b808b0b0', 'd3b5c826afd6e9c2', 'd98d96650581af8c', 'bcf6fb55143410c9', '1c12478302c7dd14', 'b4e0f20e225aed68', 'c03a11a9c493584b', '3f8937c5ddbe6d74', 'f95e0898918ca26c']; context = [[1, 61], [98, 171], [35, 87], [12, 81], [20, 91], [83, 141], [0, 51], [12, 55], [13, 55], [1, 72], [57, 98], [12, 80], [234, 276], [95, 139], [15, 76], [29, 91]]; loss = 0.031535 low_pass_filter = 0.300
+Epoch 0: | | 29969/? [4:43:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 29970; scene = ['a4f29e578abae21b', '5928418b505f300b', '354bb8c3bf607454', '8bff83ff7b1d25e9', 'd834085f08b8e1b5', '76d477e0f4218735', 'cdce02ed0baf8f27', 'e72a841fa01591ee', 'b1216352b15f9fa6', '7b026e9cc2809b23', '8960d6b0b7c62066', 'aef1e4297d457ad0', 'c572ac3284157a08', 'd53f3d87d749e474', '2f42d8f78b745b8f', 'fafd9e0fbb9517b8']; context = [[56, 114], [7, 74], [84, 131], [21, 72], [33, 106], [12, 72], [79, 150], [30, 80], [6, 82], [13, 61], [9, 57], [15, 68], [6, 62], [33, 74], [3, 71], [86, 157]]; loss = 0.025908 low_pass_filter = 0.300
+Epoch 0: | | 29979/? [4:44:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 29980; scene = ['47d5b1834962293d', 'c178eae2652d9d6a', '43b04b0a13fa0dea', '9c0bde40c33eb71c', 'c6d42b8762adadbb', 'f5fd2d3dc5eda234', 'b44a9831f5c9346a', '70c3f63e49f0a60e', '4dce2f5cdfb61209', 'd33a702220f9c643', '1cc6d70643937efc', '5c04e1bb3d57c7e2', '419e0277df79188e', '986f645284094c16', '008565fd84fac8bc', '0d7da46def0b4cc3']; context = [[26, 74], [12, 59], [108, 165], [9, 63], [24, 71], [3, 72], [178, 247], [0, 73], [3, 60], [0, 50], [2, 44], [87, 163], [106, 164], [13, 56], [133, 201], [47, 87]]; loss = 0.028966 low_pass_filter = 0.300
+Epoch 0: | | 29989/? [4:44:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 29990; scene = ['a08c8a37e64ce67d', '3ad6f38502e90d67', '8c2098bdc333b3f4', '8ea66e985b15761a', 'a8bd1ffe4d25ed82', 'c03b290c2ecbf9f7', '2ff53fd35bc18dca', 'c0a17e186d26bb09', '4db3084a435465dc', 'b1d54bf52101ee9e', 'f93d69a250a55d93', 'd7a205520e310aec', 'c02abc6f11678b26', '1e1c633f7f1965ba', 'e4a6c17773949334', '1d2345a0eb0edf4e']; context = [[30, 79], [46, 105], [28, 80], [22, 85], [7, 49], [30, 83], [172, 245], [0, 43], [63, 126], [2, 60], [30, 89], [48, 121], [7, 81], [18, 67], [0, 44], [2, 78]]; loss = 0.030157 low_pass_filter = 0.300
+Epoch 0: | | 29999/? [4:44:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 30000; scene = ['2248dfd686c001dd', 'eb11a3065fa51c18', '9575639b887c61b5', '0c6a2ce61c921520', 'ca894ae64063abe9', '3a394bb7b1240d9f', '6d152b36a2c6b3a0', 'cba7a7869de72700', '271e98f377d9979a', 'f2de3305ea7dd161', '5c0404e0e89d1e26', 'f5850d9e389635d4', 'b0fc928a28ed8256', '98b790f0838ed801', 'dfcc5ace57685ef2', '9f87035a427b8952']; context = [[12, 57], [96, 170], [15, 64], [50, 113], [125, 175], [157, 207], [4, 52], [0, 72], [82, 125], [32, 89], [26, 82], [8, 63], [5, 57], [1, 65], [10, 78], [1, 70]]; loss = 0.023169 low_pass_filter = 0.300
+Epoch 0: | | 30000/? [4:44:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000validation step 30000; scene = ['020a41f988981396']; context = [[16, 75]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 30009/? [4:44:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 30010; scene = ['1f44f9200820c142', '61c1a8c9a5bbb249', 'd85e72198954fedf', 'db91fed7543340ef', '90a596bfb6501865', 'aab3ddb3540888d6', 'f79c0e72570d1ebf', '268ea1b094cf7133', '9ae6eee1a169ab7e', '14c275162f918417', '0da029b610c57c2c', '4f0ea940beba2dac', '9481648d5bf5e73f', '3188d7690207730f', 'a3de547580187314', '3ce6cb05cc8b3ff3']; context = [[42, 93], [39, 88], [5, 62], [92, 135], [47, 92], [8, 75], [45, 119], [153, 226], [18, 75], [38, 86], [33, 95], [16, 73], [9, 78], [6, 74], [88, 152], [5, 69]]; loss = 0.028748 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 30019/? [4:44:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 30020; scene = ['91147b6e8047c8c8', '9899ad035dd9c665', '1ff0f52fd841b9c0', '2b8c9d0c8013e677', 'e6b15b1187728499', 'bdbd0d543a3901a5', '30c37f6c4677fb23', '2b141c0433cc5039', '537f0b57f895b038', 'f1e07881ded298f1', '45ece01ebfab5852', '8133e02814227215', 'f057f5ce14b54044', '7d7bf8fc97c29961', '2c38ebf17747a14e', '2b787547ea496776']; context = [[20, 90], [82, 140], [46, 110], [17, 74], [0, 74], [69, 142], [8, 75], [9, 57], [111, 182], [27, 79], [34, 93], [50, 93], [104, 172], [34, 91], [32, 106], [34, 105]]; loss = 0.024008 low_pass_filter = 0.300
+Epoch 0: | | 30029/? [4:44:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 30030; scene = ['f6d8dfc70b33a654', '10d1864880c5a385', '69fc48e88e77063c', 'f3acba9a72f70675', '5969edcafd208c2d', 'ca04e3dec73c44e8', '2dc367efc8ceca81', 'ddc9271651c44be4', 'db43e6e730f0d1b4', 'db38ce99557156fe', '6c20fee406d44de7', 'fd6eb7cb939fa6d0', '9b19461a244f4c8f', 'e1e7f254259c3d9d', '72a296d4a3d7d727', 'b68f301ea1c8c6f7']; context = [[22, 82], [69, 113], [97, 154], [174, 246], [2, 48], [25, 76], [3, 57], [126, 195], [13, 56], [36, 98], [0, 60], [228, 274], [123, 182], [24, 64], [117, 184], [16, 69]]; loss = 0.024064 low_pass_filter = 0.300
+Epoch 0: | | 30039/? [4:44:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 30040; scene = ['7867824cbb124768', '5586c8da04deb086', '4d8bb45bd691e7cb', 'ec3b6eca01fa6fe3', '39a496c11d4d536e', '442dca0c4ab9c0bd', '436ccd6836a9c74e', '4b808397ff3cf77a', 'e3a5f86863dd4815', 'c0a6dac092abee5d', '7edfb93cc9ec56ae', '19628f94fd6a344d', 'f4443bff45c3a48c', '533c2f41ab209d24', '3868cb5f50baac6e', 'f31290cd79204332']; context = [[17, 94], [36, 97], [3, 68], [46, 112], [9, 63], [33, 109], [21, 65], [27, 87], [34, 86], [11, 71], [1, 75], [1, 44], [16, 58], [1, 67], [38, 85], [1, 77]]; loss = 0.078995 low_pass_filter = 0.300
+Epoch 0: | | 30049/? [4:44:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 30050; scene = ['36e33959215c9d0e', '1668a84868a4854b', '677050e1ae2da818', '102b393a88361a71', '58ec77029a3dc124', '642d3fb21f60cc53', 'd307d393104be667', 'e2df128a869d2f9f', 'cf67c763fe477641', 'a607e9d14c4669ff', '6024a890ccc180d0', 'b7cec90a1bec3325', '9c57622905e0c86a', '367e3d276d522257', '8e5392e480708fbe', 'dcb5b9c600bb39fc']; context = [[3, 67], [2, 66], [3, 59], [217, 275], [133, 200], [16, 71], [74, 126], [59, 106], [19, 61], [109, 160], [17, 66], [63, 126], [49, 117], [6, 82], [18, 61], [0, 60]]; loss = 0.029970 low_pass_filter = 0.300
+Epoch 0: | | 30059/? [4:44:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 30060; scene = ['1229dfbf06d50470', 'defbee9b9b68f1c8', 'd04532856be2ff76', '2ce03759821c614a', 'ccf2dd688d959321', '1c930f0ba5d52de0', '42c1cf74638dc9df', 'd34235700ae6fcfd', '94d3ef8ad5ab7ca9', 'f82b93a87b350b21', 'f3d5fa05b2ee8b01', '6dffc7fe830bbe27', 'a89ab21f1556eba1', '99a2ea0f961156c2', '9808d034c6fe86e2', 'fa8b2ee0f22990e3']; context = [[116, 189], [26, 91], [127, 190], [10, 87], [23, 85], [142, 214], [44, 120], [43, 91], [112, 173], [4, 49], [84, 131], [30, 89], [6, 81], [88, 154], [24, 83], [40, 101]]; loss = 0.141286 low_pass_filter = 0.300
+Epoch 0: | | 30069/? [4:44:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 30070; scene = ['a48e4d1ee71accce', '7f3daeff5bda4e56', 'bbde42c6fe73bf9b', '160a2a01d7df079c', 'a1ae9945ffda9ae0', 'b7884ce2812d35b0', '58d5ffd3dd7497ba', '1c513ccee796a9a9', '8950913eab2e5928', '283d170b23705e00', 'eba83c298c398adf', '8961aa1e874405ac', '04f7f3db54b4e2ee', 'b24b7fdd1b97ab2f', 'dab76f9e8cf74e13', '19db4d803976bac3']; context = [[45, 114], [0, 48], [29, 75], [23, 71], [210, 255], [222, 266], [0, 43], [12, 58], [21, 63], [9, 67], [155, 213], [5, 60], [29, 83], [48, 119], [139, 211], [1, 49]]; loss = 0.028772 low_pass_filter = 0.300
+Epoch 0: | | 30079/? [4:45:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 30080; scene = ['6353e5f192e3d3b1', '82fbf69e7be675b1', 'ba414545b5656142', 'e3641bf1bb0eeacc', '0afe668d57616438', '4ad4191f28c4bd5b', '0b20f8a6bcd67e51', 'b3569c0aa91a5faa', '05eb05f4a63e0df6', '0c8af3fa6aa60dea', 'f904ba6dd57174ee', '85098f10e7c0d7f1', '74d6913ef306badb', 'c5105a963e0519d3', 'a86c32a25b92f015', '6bbb1f05446d7e85']; context = [[3, 49], [11, 62], [10, 55], [48, 99], [152, 200], [25, 75], [14, 64], [25, 82], [5, 73], [6, 55], [173, 214], [53, 97], [138, 206], [13, 67], [144, 186], [2, 79]]; loss = 0.025857 low_pass_filter = 0.300
+Epoch 0: | | 30089/? [4:45:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 30090; scene = ['c1028e67d73c3504', 'da83ee87a69a3bf1', '5fc78da0b2bb89a5', '9232ef6ebf4bc047', '7032a676484c319b', 'b02dc4e4cf0ec58e', '9dd47de79d8a59b1', 'd5b19358d6d05a63', '88f0ac14ed8feb1c', '39e77582c902fb47', 'be23a4b4e11391f4', '96ad6fdc08cdfc37', '9ee288075a75d9f7', '627833d07680c6e4', 'c6b0970a98ef932f', '611bad07db5d9180']; context = [[13, 77], [27, 89], [53, 103], [14, 82], [2, 63], [43, 98], [5, 77], [63, 119], [2, 78], [76, 117], [82, 153], [22, 74], [6, 71], [22, 72], [32, 97], [1, 43]]; loss = 0.029801 low_pass_filter = 0.300
+Epoch 0: | | 30099/? [4:45:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 30100; scene = ['50d16d209c6d009c', '93dcdc36ab76b422', 'eddb11e3eafb8bca', 'b6b27ea9e20cc7f3', '3421fa4b85e525fb', '1370b99bc8024aa7', '47e61f9035350deb', '89688b095738c643', '8f10bb00b5cdeef5', '2436a7535acef810', '0c3a4203b6965291', '59f826743517b9c7', 'e1209d28a6625e83', '2443607afe3596b2', '95f1c90080b4d6a1', '1e4b156503c3e144']; context = [[102, 168], [187, 249], [9, 70], [22, 93], [103, 144], [24, 77], [2, 64], [118, 162], [98, 152], [120, 171], [1, 49], [20, 70], [124, 169], [191, 245], [8, 60], [18, 92]]; loss = 0.023041 low_pass_filter = 0.300
+Epoch 0: | | 30109/? [4:45:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 30110; scene = ['ad7e2025beb77451', 'b04afb4bbc4f0035', 'd56bc7ca0f6368bc', 'a07bd2d6a03f05bb', 'b53a8e8d3caa0f66', '026013ca541c30da', '096ec46a582e58ed', '9be8777414b5510a', '4a5a40fe006ce40d', '40feb7856665d3d5', 'aea713a654bc70f2', '55396890c6961267', 'fb2d399fc8d1288f', 'eca88f83164ab4a3', '9581703df313bac5', '92e0092df2d6229e']; context = [[54, 100], [22, 66], [1, 66], [51, 112], [62, 126], [198, 254], [42, 102], [21, 82], [58, 132], [29, 105], [0, 45], [15, 78], [72, 142], [30, 74], [29, 104], [15, 65]]; loss = 0.030835 low_pass_filter = 0.300
+Epoch 0: | | 30119/? [4:45:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 30120; scene = ['9329c049929d708a', '05072eaf139f4298', 'a8b050efa6c8b67e', 'e1df53064b4345d8', 'd216906d16b4f008', '702b39a8cd04ade6', '7fe5e77e660d9f01', '8a1475befb607b61', '49983a5053eafbfb', 'e418773dd5f757ed', 'bb921538d58b7231', '93b36a54151e085e', 'e4774e728791dc20', 'b0c97926eca1b63b', '3a4e08a3f02ad769', 'cd69cde6b6bab65c']; context = [[14, 85], [3, 44], [93, 157], [32, 103], [41, 89], [84, 152], [57, 109], [0, 41], [15, 58], [26, 93], [28, 93], [35, 77], [4, 64], [14, 85], [30, 99], [49, 93]]; loss = 0.025268 low_pass_filter = 0.300
+Epoch 0: | | 30129/? [4:45:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 30130; scene = ['6dd3679736281d03', 'aff92e6d911876cf', 'b06cd5e3d43abf81', 'f8bcf128f66aa850', '29e8b0996f0a9b95', 'ea1317a53dbb5fd3', '56438c6cabe05a94', '935d78deb38563da', '55d037b163d975dc', '219ebc236cbffcc0', '9281d032283f8d52', '1b1b21b3f518e7af', 'be0d25e6435259cd', '471dc634ca05ce07', '12b6d36d4100b2c8', '771811339194e54f']; context = [[0, 73], [35, 109], [12, 71], [1, 75], [20, 68], [149, 217], [14, 62], [29, 79], [28, 89], [29, 94], [79, 151], [62, 104], [23, 69], [54, 107], [5, 65], [16, 93]]; loss = 0.030089 low_pass_filter = 0.300
+Epoch 0: | | 30139/? [4:45:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 30140; scene = ['3f4d3dfe48c85e87', '8331a772dd2af270', '4ca176819903e36a', 'd0c6680d3b6119ed', 'dca79ca95e499015', '9f3e123c0a215292', '11a3dd1e7dbfff9e', '8fb54729546a1876', 'd79f8de02a32cc1c', 'b2935e00531d1e4f', '781216e5faefd183', 'cd3f80e2f7a82583', '6fd0a32acb5e9be2', 'c8be2a65ab3523bf', '8b43bf4714cafd7c', '18dff95c712c43cd']; context = [[3, 76], [6, 74], [72, 149], [18, 69], [44, 120], [39, 89], [4, 51], [14, 61], [63, 118], [4, 59], [49, 101], [113, 179], [16, 76], [1, 48], [145, 219], [46, 102]]; loss = 0.023905 low_pass_filter = 0.300
+Epoch 0: | | 30149/? [4:45:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 30150; scene = ['c48400351c7b11df', '6bb82afb461cca15', '692c8f1a1ba8d95a', 'fa14af07fc50d2ce', '111972c5ff606fed', 'b5228b26c99db999', 'eb18adfdb3125bed', '629506e3f6b8d7ab', '66e50acd846b2cd1', '6f06edf5869507d5', 'e0b4d5d763af7191', 'b780c9bd73237806', 'ba7ccf57b2511a90', '4fc0da76742961cd', '7d4f88d897aac9e1', '5659ca024a33b07e']; context = [[26, 70], [23, 89], [68, 138], [45, 89], [77, 124], [6, 81], [4, 51], [3, 77], [186, 253], [39, 109], [17, 66], [0, 41], [3, 54], [11, 84], [13, 65], [18, 77]]; loss = 0.024576 low_pass_filter = 0.300
+Epoch 0: | | 30159/? [4:45:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 30160; scene = ['c2ded93be50fa46f', 'eb5b0e050d74b9eb', '1be1019456e06288', '11a2c0c4293ef929', 'ceba1996f22e23cf', '8bad178a126aa250', 'c6614943d1021526', 'd860a45ad00c65b0', '41d4d91f1aa80efb', '07be1c41e6e00f4b', 'afc1a03e2e21445a', '0d7cbb1d4e7831e1', '9ba95d48eab6a0c3', '0cba06c344cacaa6', 'ca11186f72f84306', 'a2bae8859904fa7d']; context = [[57, 113], [98, 172], [4, 70], [14, 71], [2, 79], [4, 79], [52, 94], [17, 69], [4, 63], [16, 64], [0, 41], [77, 126], [109, 164], [8, 70], [0, 70], [29, 74]]; loss = 0.027831 low_pass_filter = 0.300
+Epoch 0: | | 30169/? [4:45:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 30170; scene = ['0e969f24a01a0e5b', '8bc195147942ed17', '4281c9c2d1655e67', '82710ae1d85fb247', '786d4e8a8c162c2c', 'cce0c126b9b53bfe', '6684fc33674f2025', '252a4d522d463417', '7430821f0f20c61a', '36df585860d0ad88', 'beafcc712b6557c6', 'd86e6cb9723a1c4e', '3fd37c92837271ef', 'ee4dcc640af50e65', '9b73ab94b5c43711', 'd11ebc30ee032c3a']; context = [[130, 186], [1, 50], [70, 113], [153, 220], [16, 78], [34, 88], [1, 44], [0, 51], [3, 61], [77, 127], [38, 82], [11, 78], [0, 44], [8, 56], [1, 50], [8, 49]]; loss = 0.024444 low_pass_filter = 0.300
+Epoch 0: | | 30179/? [4:46:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 30180; scene = ['b9ad9897e3b13dcc', '258d0991293a33d8', '7adf869eb170f616', '33778a1390b5382c', '6405e2d406e1b757', '674b0b8d7a33588d', '4145ecb599693b8f', '045a00b4448730ad', '57c0f11046ecaace', '525fe1b5f060ee0a', 'e0df7342222206cf', '562f4e6ffc1fa73a', '794f82190c77df55', '350abc56828c23a5', '03a2379e89a8ee14', '8b97a226a5f0dc3e']; context = [[13, 71], [1, 56], [0, 50], [0, 53], [5, 78], [38, 113], [58, 105], [15, 68], [6, 65], [1, 48], [9, 54], [154, 207], [1, 78], [147, 191], [30, 82], [16, 88]]; loss = 0.031779 low_pass_filter = 0.300
+Epoch 0: | | 30189/? [4:46:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 30190; scene = ['50efd0e453568e13', '4539ac4b4cc5ddb8', 'd41a1962fa962d97', '72de1e94d9864184', 'd15bd6b9d047eabc', '9733c922457884bd', 'f9efbd129bac6209', 'bd77b6ee00143f9d', '854536a1d912b596', 'a2c1e912a4cb686c', '489033bdcaa98fdf', 'e0810bce9eb04d63', '030091ba69ae37bd', 'a814455509c872b1', '3a045112f60a54ed', '6b02b1580ce47546']; context = [[55, 129], [9, 69], [7, 81], [10, 60], [4, 46], [37, 85], [5, 65], [95, 141], [145, 195], [79, 144], [18, 74], [57, 134], [19, 62], [2, 49], [43, 108], [52, 103]]; loss = 0.035691 low_pass_filter = 0.300
+Epoch 0: | | 30199/? [4:46:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 30200; scene = ['b1b8e8c88721bafc', 'ed8272185c1ac2e0', 'e9409f501f1b6346', '64fa28b2416a6a38', 'c4005922f59686ae', 'e32356ddcfb80246', 'f024a38fc8e4ec74', '4c6ca52094c027d7', '81a3f8a8ce79a059', '92362c407ae31300', 'c01ce746e8786ee6', '9de7790c7be4dc5b', '67f5335d95ac7bbf', 'e9d11d18a0abff33', '51b622049a721290', '063dc505e73135af']; context = [[11, 75], [52, 111], [96, 161], [37, 81], [12, 66], [11, 72], [29, 94], [79, 134], [11, 64], [2, 57], [8, 65], [10, 58], [154, 202], [28, 74], [13, 83], [56, 128]]; loss = 0.022328 low_pass_filter = 0.300
+Epoch 0: | | 30209/? [4:46:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 30210; scene = ['f8691ed394b8914d', '696f18d61f0040e6', '18fdae7fa95a3500', '4b8ed7595178cf1e', '3f5894a461b1c692', 'd3342619a41a406d', '7cf964401459bf12', '5a276f9c4e674870', '02eea15d07bbc607', '91e3cb9e265cb735', 'b868fe4d209e655c', '7676731236980273', '681403b37685a02e', '261ef9a50fb94e04', '11fac7d1114390bb', '061ed8e52a8b6cf0']; context = [[40, 84], [39, 85], [2, 66], [23, 71], [185, 253], [16, 84], [5, 47], [123, 198], [10, 52], [21, 94], [35, 105], [75, 128], [21, 92], [17, 63], [8, 50], [0, 43]]; loss = 0.027393 low_pass_filter = 0.300
+Epoch 0: | | 30219/? [4:46:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 30220; scene = ['4bc5ddb6cabff7db', 'b71a1e48ca1f08ab', 'e85265a8d92fd967', '79adefa90b4cf274', '759942d03731acb9', '7294e6445c250c4d', '334e7a0f91f2c699', '09c29b89084847a5', '03c3ddcf6ef056c5', 'df661a8dde758767', '94528aa4b12cb80d', 'c4dcb56f3acfbae2', '14429847fca72501', '24e0253b8985985b', 'f013bce1f27dafca', '5872c8189271b86b']; context = [[22, 71], [4, 77], [0, 46], [121, 183], [41, 88], [106, 167], [33, 76], [101, 156], [4, 47], [197, 242], [8, 53], [24, 82], [3, 77], [6, 60], [60, 116], [0, 45]]; loss = 0.027184 low_pass_filter = 0.300
+Epoch 0: | | 30229/? [4:46:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 30230; scene = ['a2e5f84fd671b85e', '04b29f18ba65f722', '94216becd67304a2', 'f348b20c0df04245', '1ba3dec845c10b66', '468a367c6bde7be7', 'a6fa40bedfca6012', '0cef8a131f31a91d', '6004f467be73b0db', '53daa5ea0d4b98bd', '1d4265985e7667cc', 'ce8aee19127c3952', 'c19488b4bf826477', '8a7be9a038e8fdf2', 'da7bad740daf5022', '62d7cde738fd81a4']; context = [[21, 96], [2, 68], [9, 77], [137, 211], [35, 91], [10, 82], [45, 92], [29, 80], [11, 80], [35, 97], [12, 87], [0, 47], [23, 99], [139, 201], [3, 44], [14, 69]]; loss = 0.036929 low_pass_filter = 0.300
+Epoch 0: | | 30239/? [4:46:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 30240; scene = ['d75a2d501d06abb2', '0f2c72ccf47c2cca', 'cafb7b387787db6b', '43c9cb3a1f008f2b', 'da3a6901f12a6e59', '477f44d4c838a6eb', '109b6adc229361df', '655b92a1e07f28eb', 'c9e8b97faafa2ebd', 'b44e76ceadcbe46b', '3f3e74839f5c5b66', '6534207350c6ba20', 'e5dc96d4a551f24b', 'e5dc977e96e194de', '6c48d4f8e82c11fd', 'c81f122ec9f9771b']; context = [[150, 211], [0, 77], [68, 131], [2, 78], [120, 175], [0, 42], [171, 214], [104, 156], [203, 259], [23, 88], [22, 73], [41, 98], [11, 54], [41, 100], [25, 77], [10, 61]]; loss = 0.026174 low_pass_filter = 0.300
+Epoch 0: | | 30249/? [4:46:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 30250; scene = ['f9e4a4a27b9f0530', '0059080010e0a279', 'a12ec328b1ce8ed3', 'f67633dab609f48a', 'ea4a6d0a0220c7a2', '020bf2eec0942025', 'dd8e5b4c898f822d', 'd3496921a6d7b108', '9ef268c905f3c02d', '8eb9e437797482f6', '5830ae37f597a53a', 'dc1ae8c3ae7797ff', 'e49884a3a277d320', '361100f6ae8c1ad5', '75ed6690375be78c', 'a899cc62b4d16a99']; context = [[37, 96], [41, 98], [50, 125], [1, 50], [73, 118], [27, 90], [1, 50], [87, 149], [93, 154], [5, 80], [146, 211], [33, 80], [26, 97], [59, 114], [100, 148], [25, 69]]; loss = 0.024261 low_pass_filter = 0.300
+Epoch 0: | | 30259/? [4:46:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 30260; scene = ['040c62f0c68fd788', 'ad986b13d4db790c', '547583d5f8ae1238', '873339b3cca41d9d', '547ec2a373bca762', 'c62f05d391aa6ac6', '1c4c57c62457fb2e', '80c31b550426d52f', '46d291b62f5032b2', '485274f02ea43b07', '6e8dc23c5e156bee', '2944c41941a725e9', 'a7397b2a4fdfd7fc', '3fbcf1abe6d59580', 'ecb65156238cc6a9', '4676d54100c9e75c']; context = [[125, 196], [3, 46], [107, 154], [23, 89], [47, 124], [11, 79], [10, 57], [115, 171], [10, 76], [15, 72], [26, 84], [32, 79], [0, 66], [19, 68], [122, 168], [97, 169]]; loss = 0.025428 low_pass_filter = 0.300
+Epoch 0: | | 30269/? [4:46:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 30270; scene = ['049d772b4c8812c1', '24c3112253bdc9e4', 'eb1d705a1ae016d6', '91f7c33f32933ea9', '90c122930a9e312a', 'b847ec06cba28276', 'c3e673bd92458709', 'e5ff6eed15988cea', 'c1fefc8fc1a43ebd', '6f0892266008cacb', '913f81eeb5c2d6ee', '4eba3bc99c2092f5', 'fb93194f2d98089f', '365c26a679e2ebed', '6d88accab8099498', 'b6b9559aa53adcb6']; context = [[51, 94], [10, 66], [60, 129], [5, 68], [225, 270], [5, 46], [152, 228], [145, 210], [168, 241], [31, 102], [29, 76], [9, 58], [232, 276], [9, 66], [31, 72], [3, 58]]; loss = 0.040036 low_pass_filter = 0.300
+Epoch 0: | | 30279/? [4:46:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 30280; scene = ['1c32325abe22ac6f', 'ad6382d589e53358', '12e15379b5d12957', 'f47ce554c1100cc0', 'd68565483c9b4696', 'd426c64fa2b71ff8', '2b5e6d0ebc0b794d', 'c7329bdb7df9f49e', '98a1924100186241', '81c57fa72d55c6a3', 'cdc25fc545a88095', 'd69df5f455d35671', '969b9699cbc22537', '84c7b81fee110094', 'f6c9f7047e2256e1', '57b11b8b82458f9a']; context = [[51, 116], [10, 56], [21, 73], [91, 132], [32, 83], [3, 57], [30, 95], [2, 74], [169, 210], [0, 58], [68, 121], [163, 206], [8, 68], [47, 97], [23, 98], [26, 79]]; loss = 0.031438 low_pass_filter = 0.300
+Epoch 0: | | 30289/? [4:47:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 30290; scene = ['ddded3ee0b960e44', '003908a8fa818d50', '71783d872a2ffba3', 'e787931493aac604', '099e97edda52c612', '51f38ab4c2b552b7', '7703f6f3dd2f91ef', 'cb0c401a0063b867', 'cb2b652cd7ff57e0', '3428dfbb69ba1c94', '1d3ae192a6390463', '92d48535714e3403', '4cb3a3bc72da5752', 'bcaf2ffd6f7195ff', '87a267d2cfa6ef7f', '672ceef1477a4ee1']; context = [[60, 113], [0, 70], [10, 54], [86, 130], [182, 240], [34, 93], [31, 93], [95, 172], [115, 159], [14, 56], [36, 80], [27, 104], [9, 59], [25, 80], [38, 91], [6, 82]]; loss = 0.024270 low_pass_filter = 0.300
+Epoch 0: | | 30299/? [4:47:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 30300; scene = ['b266ab1fc79a6d4c', '1950a003b933bbb5', '22edbc16b6e8ba25', '55f83ad68913a83f', 'e66478d7a8e3268c', 'd2d6b67d875ba2c2', '341f28178feeb2a7', '18608d94d4769a68', '7cb6e645ee870b6a', 'a9adef412237b777', 'f4068f5c8367e625', 'cfaa564b4d0c3e02', '4619634afa74b44a', 'b30304703e3b4359', 'c37935df091373a4', 'ab73420cf06a4ba1']; context = [[108, 150], [40, 91], [42, 96], [14, 85], [17, 94], [8, 63], [23, 66], [29, 81], [9, 54], [41, 105], [8, 62], [85, 149], [14, 77], [0, 43], [92, 155], [2, 58]]; loss = 0.030359 low_pass_filter = 0.300
+Epoch 0: | | 30309/? [4:47:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 30310; scene = ['747758f69ad48072', '44033cb44fc70e62', '12187d763ed3bcf3', '090cd7d740571c1e', '32b351130816f54b', 'ba2d21290ad804a6', 'cca6d62cb8ddc4e4', '9d88aa143fcd52c6', '784d25b1c8496d7d', '55b6f9d7fd7b048f', '6584d26cd17e774e', 'd92fe6617d7f8753', '468d05fe9cae4c74', '19135331ae38e95c', '17e9cf03c1e188e9', '86f380517c075816']; context = [[0, 53], [13, 79], [32, 86], [0, 75], [0, 59], [88, 140], [33, 88], [56, 114], [0, 77], [0, 62], [59, 123], [0, 43], [206, 256], [16, 68], [1, 61], [21, 87]]; loss = 0.024165 low_pass_filter = 0.300
+Epoch 0: | | 30319/? [4:47:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 30320; scene = ['0badcdd96a4c3fe5', '67b2f1c002c84aae', '9b6c1767f7f1e398', '1e34f5b87ccb156f', 'c60321ebc88ec957', '6614f415f227fb91', 'f992071564cfa5d7', '0d7e98c8cb6b0f5e', 'f2851940fc2d313a', '9beec741422ba809', 'a9ef4a24b4d444d9', '470ab1ead567352a', '36784897d51395da', 'd29cbb6e7aa31fbc', 'c8b7b281d32219d6', '3a90013ef1427fd7']; context = [[5, 66], [2, 56], [11, 63], [171, 215], [212, 272], [25, 99], [12, 68], [8, 54], [16, 57], [1, 45], [48, 116], [61, 131], [20, 65], [13, 60], [90, 134], [138, 188]]; loss = 0.027015 low_pass_filter = 0.300
+Epoch 0: | | 30329/? [4:47:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 30330; scene = ['598405d8c5ccc93e', 'f3eddf3f21377715', '85e4288441eccb23', '7c50a3e751ebfa5f', '412565faf1fd5db1', '7f7331d1f9e876cc', '039b1dfb06179920', 'da2afd41d40b5366', 'd7576649d0266727', '08b847b675424659', '5403b2116cfcb7f4', '90b054efa5dff38f', '7d4cc2212a819b09', '0d19a98df7f0d404', '88ec5960ae4ad257', 'e8198adc8f286ca2']; context = [[3, 51], [10, 73], [88, 135], [58, 105], [178, 251], [16, 77], [13, 66], [107, 151], [23, 75], [156, 232], [2, 78], [12, 63], [3, 57], [1, 74], [14, 80], [152, 196]]; loss = 0.025311 low_pass_filter = 0.300
+Epoch 0: | | 30339/? [4:47:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 30340; scene = ['8fb03b9d2998c479', '4140ec5db9c9d091', '5eda0406a5e02452', 'c92ef5fbc5fa1ba2', 'de22770da73bbbf1', 'a61018020bd0c545', '07bf825918a85f50', 'f80301703d292a0b', 'c874ebccecfe6add', '9b4023216c7798bd', 'f729fcce20f5e06f', '6915a186168543b8', '32df185121315429', 'a8f4d62bdcca98b6', 'd4775a73d902fab3', '4e6b5b48208082ce']; context = [[1, 75], [27, 68], [15, 66], [15, 70], [13, 78], [18, 73], [35, 111], [166, 208], [32, 84], [0, 45], [71, 141], [1, 51], [61, 132], [163, 218], [42, 116], [24, 81]]; loss = 0.030868 low_pass_filter = 0.300
+Epoch 0: | | 30349/? [4:47:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 30350; scene = ['36925aca2fa496f6', '51044fb67d273ead', '702b78dc2a86d3dd', 'fc5596247d4bfa18', '2de40cefd70bc708', '00415ec2f505e8c3', 'b953af75bafccce8', 'c223385f4ccd5220', '88a9533f6e6f1736', 'a082fdb24870d360', '222255ddcacd20cf', '1fdef796118f642e', '477b227f30b26d5f', '89610e2709f7fe4a', 'cd6004a198ec5ce7', '6b73871e384a0f75']; context = [[1, 63], [12, 84], [149, 206], [58, 106], [77, 146], [127, 177], [62, 131], [12, 68], [24, 88], [0, 64], [4, 49], [33, 80], [118, 194], [4, 49], [0, 48], [110, 159]]; loss = 0.028203 low_pass_filter = 0.300
+Epoch 0: | | 30359/? [4:47:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 30360; scene = ['6a644d71d717c6a7', '97caecafbfa7f1f6', 'a95dacbd3ea3db36', 'c63b37ec347f0d0e', '944e92ff3fea78eb', 'b84cce034b55e1e4', '4993c13bd0a11f24', 'ea97e5ae55e56208', 'c83c353973bfa41d', '2c13034bacfe93b5', '265941bdd185f866', '52cf0ad63b78dd22', '57208c486011b4fa', '631c3172963b11b7', 'f1ce31f915df235c', '63db3bbef4dd3361']; context = [[0, 56], [8, 82], [25, 100], [1, 70], [68, 120], [4, 73], [11, 53], [1, 60], [45, 95], [61, 136], [3, 69], [24, 101], [23, 67], [28, 85], [2, 58], [1, 62]]; loss = 0.021996 low_pass_filter = 0.300
+Epoch 0: | | 30369/? [4:47:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 30370; scene = ['85cc8a0d62c58ffe', 'b63b97f07fbeaf24', 'c0f4554c18a09b34', 'a20b4125ede06429', '42c335ae9a3feb5d', '46ed182c11fd6b04', '12879245713d8124', '81df63a4ecea570a', '32b3ad9a970f91f3', '8f6162ccf652ebcd', '1eb163cdf1a999dc', '08c9b193a605a746', '49f810b54cdde3f0', '0f43aae34b1eb846', '2bedb36d46b659f0', 'c97f57e4354ba28f']; context = [[21, 82], [132, 189], [24, 99], [29, 83], [7, 77], [15, 72], [11, 55], [204, 250], [86, 145], [0, 75], [6, 66], [60, 110], [50, 123], [71, 121], [28, 77], [3, 70]]; loss = 0.026646 low_pass_filter = 0.300
+Epoch 0: | | 30379/? [4:47:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 30380; scene = ['5d02873ad626d986', '0badb8c0dfa8d328', '9453fa28dfd12dfa', 'b62bfc8b7c12625e', '78dff24134373857', '7c4abf90a9c2bb5c', 'ef0948bb2141d23c', 'd342e31b3af28208', 'a4f2e7495466dabb', '1c4209ff1c3c95d4', '7440df6b4df2803f', '87c665f106ea30e2', 'd6ecefa36d04007a', 'ccf02ed8d67330dc', '81b6cf7fd559d1c2', '4accbdaf2ba3e72e']; context = [[85, 133], [81, 139], [56, 115], [119, 168], [22, 78], [42, 87], [7, 78], [193, 253], [45, 86], [42, 102], [0, 58], [118, 189], [8, 58], [0, 41], [70, 134], [47, 97]]; loss = 0.026453 low_pass_filter = 0.300
+Epoch 0: | | 30389/? [4:47:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 30390; scene = ['f65b93b003d07fe4', '5368642d202f62aa', '23fb1b0d413e248a', '514c58ca3d21cfeb', '19cb93b1a26786d0', '886400696ccd9e2b', 'd595d547e3e71dac', '60d567c546486e0a', 'f7335129c21e0105', '6704cf19be80eaff', '208bc933986ed669', '210f5da73aa89253', '2502f2ed6eaa9583', 'c1638da99851d685', 'e1fd0cabe1c9fdfa', '49702ee14a753709']; context = [[20, 80], [111, 152], [93, 165], [69, 139], [88, 152], [41, 99], [0, 45], [81, 153], [112, 172], [75, 144], [21, 82], [16, 64], [39, 100], [120, 196], [176, 226], [109, 168]]; loss = 0.028685 low_pass_filter = 0.300
+Epoch 0: | | 30399/? [4:48:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 30400; scene = ['a23c9a6f908d54ca', 'ba18cfa17a07e100', 'a224bb34d94bbebb', '19242e2977432835', '5b6e4e886fe8aa82', '5446148b27f5e5ea', '7442e8d1f450ec5d', '43796a5e9835d23e', 'c335f6430f3c6c02', 'd3d939eb13d3e2e2', '45d04b9824b1d3db', 'c64522975c1b787a', '455df7901a395e03', 'd17c0ad5517fdf22', 'e204918388c62bc8', '1cda8e238facd520']; context = [[6, 54], [25, 87], [37, 86], [1, 60], [115, 172], [45, 90], [152, 197], [6, 64], [23, 64], [65, 142], [25, 68], [159, 222], [17, 78], [7, 78], [95, 140], [191, 244]]; loss = 0.022682 low_pass_filter = 0.300
+Epoch 0: | | 30409/? [4:48:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 30410; scene = ['cf88375b1e6b8486', '860cb96a18812b20', '0ad0740248869c93', '3284bdcba1efd8a8', '47d5c52893beea42', '55bf4e702787a6cb', 'f1c3b96cfaa15919', '3ced8eb88a62da93', '136558bc6c565da1', '937f8e3d9793a726', '62e480eda89b85f4', '8aac6e58ac48fd15', '00bbf676b3378549', 'd63314ee9d11a5fe', 'd9e0fc931a94def3', '5b32aa8371edec0f']; context = [[30, 84], [55, 103], [0, 66], [140, 194], [12, 88], [10, 56], [57, 130], [1, 53], [46, 122], [3, 64], [1, 62], [61, 136], [0, 76], [74, 147], [14, 71], [135, 181]]; loss = 0.025923 low_pass_filter = 0.300
+Epoch 0: | | 30419/? [4:48:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 30420; scene = ['cf51bd344a6f26b8', '510c8fcaedbea78a', 'e8fd41962a23f7be', 'facb894d147976e1', 'bb326b22023bb1c3', '59140892d3eca7fa', 'a7bc2227bd3a3006', 'aef468834942aa86', '52822406ea675d52', '70a170a625f03d28', '43cc195276cf0c56', 'f8e5e70e0e0ccc4a', 'd26c085c6b0272e2', 'd3edfadeed4bf16d', '02f82cf54ffefd78', 'af5b170dd00f375d']; context = [[28, 70], [8, 53], [12, 76], [138, 182], [71, 124], [0, 59], [130, 199], [18, 90], [8, 52], [53, 101], [37, 100], [9, 76], [122, 185], [47, 121], [2, 52], [15, 89]]; loss = 0.027327 low_pass_filter = 0.300
+Epoch 0: | | 30429/? [4:48:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 30430; scene = ['3ba890cda89bf635', '35cbaf6ba07c64fe', '2d203766696cc2e7', '3a53f0f0377f069c', '36039cdb6bc7e0a4', 'b9d969fad20ff6b0', '093a1513be64df04', '077f091f15f38a60', 'c5f1fa01bbb0c1a9', '1df01e86ca84e747', 'f7b4d47fa023d83c', '59290e5eafe2dacc', '2876ff2b0e9b35c8', 'a8708276de880b2c', '1ff6a0130c1bdbc9', '76d53cf41f53eb37']; context = [[51, 92], [20, 67], [1, 42], [23, 76], [9, 80], [12, 72], [28, 78], [59, 121], [4, 69], [2, 68], [2, 65], [3, 76], [3, 44], [0, 47], [0, 77], [0, 64]]; loss = 0.026624 low_pass_filter = 0.300
+Epoch 0: | | 30439/? [4:48:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 30440; scene = ['b953a6e9c693493a', '647839cbca8db12f', '9472e0c8a62e30d1', 'c33fe2d3b7986ed6', '350adec15cc186cc', '8d9d6d9fa213b895', '7345aa2a210fae8c', 'ecd6d0156e796f80', '105283c6a2b6ad00', 'd34e157b5b283b89', 'fe4fa50ac12f51b0', '97c8e6562064bede', '591d4ef1fe3a9c81', '53d8683f2b99a881', '63636e57f2911e93', '027183156ae278ce']; context = [[30, 97], [4, 66], [14, 57], [51, 108], [0, 50], [34, 94], [62, 121], [43, 85], [1, 59], [39, 88], [47, 95], [20, 91], [29, 79], [26, 102], [0, 74], [42, 112]]; loss = 0.024626 low_pass_filter = 0.300
+Epoch 0: | | 30449/? [4:48:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 30450; scene = ['d006b2a511adbf29', '69bcf2ac9c8407d2', '1170794da4c3f477', '11a0410061415599', '414b7d55b5fde684', '77542628c9955b43', 'ce50e60b3d231911', 'e39974ca56f48929', '651dec57270e7a1f', 'b7cb64ed6212f961', '8a063a94cfe50aa1', '1ef1a0860a3b465e', '15790a6ab4a1f516', 'c772fa408dae9acb', '7f52ee494a9f69f1', '4370393c4130d397']; context = [[5, 57], [62, 138], [66, 108], [68, 132], [1, 76], [6, 71], [31, 77], [125, 193], [58, 99], [23, 84], [28, 93], [161, 212], [13, 55], [0, 56], [25, 67], [71, 120]]; loss = 0.023094 low_pass_filter = 0.300
+Epoch 0: | | 30459/? [4:48:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 30460; scene = ['9ae203dae9fbba58', 'a4b60340518670c6', '4e8b585cd698ceeb', '85e72acb202e93c4', '66d4652ef890ce52', '5ec193c4b6b33e08', '9075825add4e7443', 'd3c976525f0a1ba4', 'eb7fb058c14b7c07', 'c60a05da5a4c0816', '6c85736769aae887', '15edaece260430f8', 'a10772e4b4398eb6', '232eeca687ce1f7e', '7effa2a1152eb398', '4ff83ab9e59ad015']; context = [[1, 42], [21, 71], [77, 140], [84, 144], [5, 82], [10, 79], [68, 127], [0, 75], [3, 76], [18, 92], [74, 146], [0, 44], [209, 266], [26, 100], [32, 91], [8, 73]]; loss = 0.179820 low_pass_filter = 0.300
+Epoch 0: | | 30469/? [4:48:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 30470; scene = ['dc1110b7701f6293', '5ed75ec6df343f5b', '172722bb9e5e9e55', '23d9737abd092875', 'e5da5035d5cf1047', '909f9937eed27880', '8f22e9a311fc7127', '81954eeb7c50183d', 'ce04d2f0e461e2b6', '96d77693e54350c7', '824a064f8ab1cf0a', 'abaa09068432a694', 'af4d7b5f270b9f1c', '9055041789f01a42', 'b6ee356598ee3c4d', 'e0c47b9d7af9ef13']; context = [[196, 261], [3, 61], [4, 70], [7, 69], [24, 79], [28, 79], [0, 60], [0, 53], [3, 51], [27, 92], [3, 73], [3, 72], [0, 73], [2, 52], [3, 58], [12, 62]]; loss = 0.052287 low_pass_filter = 0.300
+Epoch 0: | | 30479/? [4:48:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 30480; scene = ['6915c82c1126fc3b', '9bf240527154779e', '5db1f93559662c33', 'a950d4448837f574', 'c2c37a6bf0a12e0b', 'ef9f95673c607cfc', '8bf01fa3d703d54e', 'd5071670e0c38441', '9c6f712cead21584', '158c7dda2cf0765a', 'afad90a8ee12661e', '142af18c2b5f0145', '852f866007866388', '1c966db883c0b9f6', '35409afab97a204e', '23710dc8de8b4a49']; context = [[5, 49], [18, 74], [37, 109], [1, 47], [12, 87], [141, 194], [84, 143], [23, 79], [27, 81], [58, 103], [72, 118], [170, 230], [0, 63], [90, 149], [0, 72], [12, 58]]; loss = 0.028935 low_pass_filter = 0.300
+Epoch 0: | | 30489/? [4:48:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 30490; scene = ['625ea47516e38745', '308091dfa01684c4', '9caef0504ee554fb', '74b03d0ab2e62526', 'f21ab4ce8e25d9a5', 'b58d58f47244918b', '6d824f7a87981e47', '725fe0471179aee8', '16267af07bb2ede1', 'e50c150d8ee765b9', 'd6b6059b0a46e610', '47a528e39cb5b025', '8c095cad49acba9b', 'fc83f9be2ea52f05', 'c94d0b4d3856cbb0', 'e636a447575d20ac']; context = [[88, 149], [0, 75], [20, 63], [0, 46], [0, 61], [14, 83], [15, 62], [124, 170], [8, 55], [47, 89], [4, 57], [206, 258], [164, 218], [66, 107], [62, 116], [38, 103]]; loss = 0.024641 low_pass_filter = 0.300
+Epoch 0: | | 30499/? [4:49:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 30500; scene = ['fc86d4f8f547a669', '416a07aebbf6bde0', '125e043ed828047e', '716ae06f1f482356', 'd0f966e06d2aa8dc', 'e8988b8e3c25d157', 'd766eac515f8c9df', '3d163eea20f886c3', '9237d0a19afbabcd', '90181a8ba6688854', 'e3b8576a277f8752', 'ade6ad49f2e818c5', 'ff9300735daca726', 'f518897fecd94508', '82047a161180382a', 'feaf9bdc8197aeb9']; context = [[169, 218], [0, 42], [15, 90], [42, 109], [3, 62], [3, 74], [15, 68], [197, 266], [3, 45], [5, 51], [99, 142], [17, 65], [28, 69], [64, 134], [0, 46], [6, 55]]; loss = 0.027455 low_pass_filter = 0.300
+Epoch 0: | | 30509/? [4:49:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 30510; scene = ['9e7176a195177385', '96292e5e47cc9fc1', 'e758c80eeb625520', '51c7623c73daaef4', '0576ba3a47501d8f', '088aa8c10c5fd80e', 'd31e6aa8b1e23cf1', '3dab79d6331a4331', '29327cb2e7a4f3af', 'd340521843cbbd83', 'bb43b136a8b948d1', '48e8066af70d253d', 'fa8905506230fe0f', '287e328a3cfd0a3f', 'ac614ffc64689343', '4ddfd1909ff161b0']; context = [[111, 161], [52, 123], [16, 67], [4, 57], [7, 81], [43, 98], [18, 73], [24, 82], [135, 194], [12, 54], [28, 84], [0, 45], [25, 101], [6, 69], [60, 103], [6, 69]]; loss = 0.025711 low_pass_filter = 0.300
+Epoch 0: | | 30519/? [4:49:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 30520; scene = ['a2db16941ab9b242', 'bb3e5ca9e09602eb', 'd3f823a591c04174', '5db01ea086a8e862', '39ee29ea23cd28ac', 'a6085c3947e9edae', 'ebfd99428653bec9', '23ada50ed2964f18', 'aebba824d31656fe', '33fee065c3e83dbb', '395c0f63db6bb538', 'e93ef07a12e65021', '73b326a2356225fc', 'bf1e6a67f6bf9b82', 'c4ba30d763bede27', 'a1e67b5c38a3c0c7']; context = [[24, 99], [1, 46], [53, 111], [5, 48], [80, 138], [203, 277], [34, 99], [55, 116], [12, 62], [7, 76], [0, 50], [65, 119], [98, 162], [63, 125], [13, 67], [190, 247]]; loss = 0.029352 low_pass_filter = 0.300
+Epoch 0: | | 30529/? [4:49:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 30530; scene = ['69f07b10f91302a1', '585f341e385b5707', '195f7b5576b015d6', '2ab48c61b095860c', 'd625f06f1ca09d8d', 'd2c15251a4e5047d', '6a13f52fc80a963b', 'afabee4e2943d012', 'a7a018165cd919a4', '5f2242ceed2ff1cb', '4b0ec29104410efd', '32b9ad4775ea81ec', 'a1b6e8ac262440d5', '8727a972009a2f02', '3327b4df79479c20', 'ebcaad26ea067131']; context = [[77, 127], [2, 44], [37, 95], [3, 54], [5, 55], [7, 48], [121, 173], [172, 249], [6, 53], [0, 73], [50, 100], [55, 113], [7, 64], [10, 57], [120, 172], [105, 175]]; loss = 0.021220 low_pass_filter = 0.300
+Epoch 0: | | 30539/? [4:49:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 30540; scene = ['4eb4ba507316bd57', '9316b3c04ae81baf', '32aaa090d9131f32', '505f55a2e28cbe6a', '04806761182976f3', '3db6f7d8e206b983', '84caf9b231f3bcdc', 'd526d6a1ae6b7aff', '7ddf7986259f5e2d', 'ec04ce88e4b5737f', 'd7e66989889cc942', '13bcc685b6ca0cc9', '7f6d0b8f0b26de72', '1b179722f65bfdfe', '33046df072dcb853', 'e29e0c5083c67975']; context = [[121, 191], [70, 131], [3, 55], [31, 85], [24, 101], [14, 60], [17, 73], [6, 47], [10, 69], [11, 76], [132, 183], [18, 66], [11, 66], [22, 74], [5, 57], [72, 121]]; loss = 0.032600 low_pass_filter = 0.300
+Epoch 0: | | 30549/? [4:49:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 30550; scene = ['4bb7bdad7604472b', '670c5094bc0b1e7e', '52b1987a8f553c00', '8ef6b6c6c432d6ee', '032414a2811e3530', 'bcd621665fabf254', '22a705dbdc98cc4f', 'dfbeb78b2b8c99e2', '15be5925908185f9', '7654f28a71c8b0a9', '5c264ea5cb7804c5', 'b7a01752401f8b53', 'd9644f4985e51a1f', '25d6f10b8d881940', 'af2bf37f747ea039', 'ef61fa01cc558ce0']; context = [[2, 63], [9, 67], [11, 88], [42, 100], [87, 150], [91, 161], [29, 92], [17, 80], [52, 114], [71, 112], [175, 239], [2, 50], [38, 83], [0, 46], [13, 58], [181, 256]]; loss = 0.023346 low_pass_filter = 0.300
+Epoch 0: | | 30559/? [4:49:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 30560; scene = ['f59a578b65c02808', 'd8fb559aaed4da44', '5d21b42ceb929377', 'faea448f2b4288d3', 'd2bb7463fe19637e', '562335093bc96094', '895a901ddd481ded', '05347d56da893981', '9fe032b64b5b91df', '3b65829d6b1455e5', '6c4460628810b20f', 'ec723bd46c6bb0d8', '1450f9c17a54d723', '4d6386d7cd6a39c9', '8f3e0781466f9752', '23d280e44989cfa9']; context = [[21, 87], [234, 275], [124, 195], [62, 120], [0, 61], [2, 46], [2, 56], [11, 55], [3, 75], [111, 152], [134, 209], [51, 120], [46, 90], [24, 89], [19, 84], [1, 67]]; loss = 0.027979 low_pass_filter = 0.300
+Epoch 0: | | 30569/? [4:49:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 30570; scene = ['847e8053e29adbeb', '1b6cf9888d142fe1', '7ad3c6fe04b279ee', '7d0b23a5417adcde', 'aedfde725ac8cda1', 'a831d37e59002526', 'c3533af28febf55b', '1185796675009ca6', 'a45af19c2ad1b7a9', 'd78279228e96c9ff', '83da83241d5d812d', 'e6bd49192ab21f5d', '789bc3d0827b3458', '86e922e5d4069d1e', '90c444ed7f565121', 'b5d6c77bcf7cdf5e']; context = [[31, 95], [15, 62], [1, 55], [45, 117], [14, 66], [8, 60], [151, 218], [29, 95], [17, 61], [193, 256], [33, 80], [15, 64], [1, 74], [25, 70], [17, 79], [199, 254]]; loss = 0.034266 low_pass_filter = 0.300
+Epoch 0: | | 30579/? [4:49:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 30580; scene = ['e8dd93213b0a8a6c', '32cca1e716cb453a', '6fd4fa60b47978b7', 'd792c89551ca8937', 'e3590f3f596ed4ee', 'ed61b288e9b09a03', '0a6deca53d7acebf', '30993d0572bc5c54', '9adea502b3254523', 'debf501ab6ea3dc9', '23cce795aa30ae38', '65de107f6b39ec37', '05caefb6550250b0', 'f3cacfe3ffeb7f0b', '37f65c5095d23a9c', '2fa209588a926720']; context = [[6, 82], [0, 56], [45, 118], [65, 114], [19, 69], [9, 72], [13, 76], [62, 125], [60, 101], [3, 56], [49, 106], [45, 102], [33, 81], [64, 110], [8, 60], [62, 134]]; loss = 0.026349 low_pass_filter = 0.300
+Epoch 0: | | 30589/? [4:49:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 30590; scene = ['ba72bcdad317f0dd', '7fe87b53d021aee6', '367d250609302784', '8cb09e31cbe80b3c', '817f789e08bfb0e3', 'ad6ff450cfff873b', 'a453224e9d63617a', 'fcd43815a19e99fc', '28b09b881a8ad7f2', '51ff0df49a7bd068', '64435b9a6dcc7adb', '5bf004fc53c8d551', '7aa3c7e45fc2c4ad', 'c4c6c83ade0c6354', 'a630d771b4ea78fa', 'ce8367adee3675c9']; context = [[7, 63], [83, 129], [186, 246], [171, 225], [61, 118], [3, 57], [87, 146], [32, 96], [0, 43], [31, 72], [27, 70], [152, 224], [38, 103], [12, 85], [208, 276], [10, 56]]; loss = 0.024892 low_pass_filter = 0.300
+Epoch 0: | | 30599/? [4:49:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 30600; scene = ['3c55515a280e20da', '3d0e037775a94dad', '901acd3f5f61725e', '7aa1330f7063540b', '5c6cc840651fd034', '57ef0c24d90eb0ad', '9c6b4263d2b5bf61', '41ac5e73b4bb9dd3', '450a7534d76e1d77', '6f9a38e416c0cbbc', '9727a06ab104dd69', 'e635188de5459834', 'dd9b2201803468d8', '8569d8fe098bf3e7', 'fda3cf8f3c1994fc', '9e2278190fe8af7b']; context = [[4, 60], [61, 121], [14, 68], [40, 109], [0, 60], [0, 72], [9, 84], [28, 80], [5, 52], [20, 80], [219, 261], [0, 57], [155, 196], [31, 83], [37, 105], [0, 46]]; loss = 0.025152 low_pass_filter = 0.300
+Epoch 0: | | 30609/? [4:50:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 30610; scene = ['8024a13b551c34cc', '1c7f6e9252a56933', 'a100e3e5a44b9087', 'f4e169b7394250b0', 'deac6c1bc870db57', '2c2d6873128e014a', '7fdd72e496bdd789', '032b98d9458de4f1', 'c0ded55f01f2472c', 'e209814caf886ff2', '11a485ef06f84a25', 'a971b3d4b654fcd6', 'fb3926ccaa7ce567', '3fcf9f442304f5d3', 'b68ed170d10cf1a8', '48e35e779b8bd99c']; context = [[30, 103], [56, 117], [8, 58], [84, 139], [57, 120], [58, 102], [70, 145], [9, 60], [53, 107], [5, 79], [68, 114], [70, 118], [27, 72], [9, 69], [49, 109], [13, 67]]; loss = 0.028562 low_pass_filter = 0.300
+Epoch 0: | | 30619/? [4:50:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 30620; scene = ['b3698fba681b1429', 'cb4e1239c00db508', '5f6129348cc047df', '3163e39561e208a8', '77c48da8f803ebce', '28b23bd8cc4b5cc9', '24a3779576222a94', '0e53f99fe63ee8f2', '502b31ec4023c337', '8e12adaf19e58a53', 'c3d7c6b0a2f4961d', '436e6d7fb59aa0f3', '7c66260a2a16b5e0', '8a13ce44068459fd', '3288cc4146fa0325', 'b21458f5b6015a06']; context = [[19, 77], [6, 58], [128, 191], [0, 43], [7, 65], [30, 98], [19, 62], [60, 113], [89, 143], [6, 60], [20, 96], [180, 232], [137, 210], [41, 102], [10, 52], [17, 73]]; loss = 0.023617 low_pass_filter = 0.300
+Epoch 0: | | 30629/? [4:50:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 30630; scene = ['bf4e983248554c10', '184871528de94493', '61f631d8fa601e6b', 'c4ed01fdbdc7851a', 'c8a486b083a1b41f', 'd0252dde8512de70', '9cc2ef713f12e92d', '925bb132693b2e06', 'de64ddc3dac67b2e', '1cc1f0e0dfd6912c', '61f2b4f0fbdfdc56', 'f9879c1f6508cea5', 'a0f58ed84db144cd', '5f0601007c180e69', 'a1765a6e321bd6e1', '3c916ce0b7d20d60']; context = [[2, 75], [11, 58], [31, 74], [51, 94], [2, 62], [80, 154], [3, 72], [190, 248], [2, 80], [69, 130], [32, 103], [7, 62], [2, 49], [90, 150], [8, 60], [5, 63]]; loss = 0.056241 low_pass_filter = 0.300
+Epoch 0: | | 30639/? [4:50:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 30640; scene = ['b2340e1da544c02f', '67c50a32a11d6527', '3573edb7bc3d813e', 'dbdde58cc9737f08', '8c710017b7fa073b', '41b80c5fb43019e5', 'f70ae846db4fddda', '51a1505d1556cd6b', 'a622560296708d3d', '70a20d40c095d870', '36107140acb611a3', 'c66103cf29564bcb', '3c15b2ce08b4d3eb', 'f7498ea452fed198', 'c897303a7723198d', '754a52ce12b77483']; context = [[3, 69], [73, 143], [148, 194], [0, 51], [67, 138], [45, 112], [31, 95], [15, 76], [12, 68], [190, 259], [10, 59], [5, 79], [6, 70], [16, 60], [35, 100], [14, 57]]; loss = 0.027633 low_pass_filter = 0.300
+Epoch 0: | | 30649/? [4:50:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 30650; scene = ['1e1fdfa6a145f035', 'ce882f834e1a2655', '712d4fab4627a65a', '7cc671fb62c099bf', '36396a869b4be221', '0ac0bf6f3eedd48e', '2bdd5f4361dd74c1', 'a5326b43f6ab5fec', '4e27774a0315aa2b', '9944bc31fc2e1580', '8bd906d22951bc07', '5e22c9e85225ce9d', 'b49b695f253edbda', 'bc84a3e1d55aa887', '39fde4cbf205e075', '7a6ea676693b1471']; context = [[46, 112], [69, 111], [17, 68], [219, 268], [16, 74], [36, 79], [8, 76], [13, 78], [74, 132], [20, 64], [3, 47], [46, 95], [63, 141], [95, 160], [13, 57], [63, 139]]; loss = 0.028310 low_pass_filter = 0.300
+Epoch 0: | | 30659/? [4:50:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 30660; scene = ['8db3a405c4842cd6', '6dd2c631caf47e6a', 'c424df62d1d99ef0', '610d6f3a3f16c492', '194c15e39ebf1c3b', '4aa2c53d2ee5cd97', '9116ebaa351e517c', '71fcc35fb52def0a', 'a9b8f780c8ebd244', '7409fa8e94c4edb7', 'fef9f74d74bcc23d', '7298dfa97b690dd8', '567f873d0287adab', '4b07c63d08460624', 'e14eeb5891211f67', '5f88e169f1188873']; context = [[126, 197], [2, 57], [11, 79], [1, 79], [3, 75], [27, 71], [13, 57], [6, 75], [35, 112], [7, 82], [28, 75], [20, 82], [162, 233], [11, 71], [6, 57], [27, 74]]; loss = 0.031050 low_pass_filter = 0.300
+Epoch 0: | | 30669/? [4:50:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 30670; scene = ['5b4ae8c5f7349c17', 'f62a48672f8acac7', '839b542ef0c0696e', 'df607878c3beffe9', 'f63942420154ff92', 'b09331320276c019', '3ba6e1145c8b37a9', '99635d3040198ba3', '02a36358f7cff958', '5e5c7e1e33673b7e', '97568a7f147a654f', '4a3fd9a21123f197', '632384f4c6834aea', '8310605001f9033d', 'bae8e9f786e36bdd', 'bab355ea5a2c6258']; context = [[77, 120], [39, 102], [6, 82], [10, 58], [59, 117], [13, 56], [7, 70], [10, 77], [21, 93], [15, 68], [39, 87], [44, 105], [91, 138], [2, 43], [124, 176], [144, 216]]; loss = 0.024495 low_pass_filter = 0.300
+Epoch 0: | | 30679/? [4:50:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 30680; scene = ['b3762e6eada7c909', 'd8b5c23a498b8ae9', '964b1504ba08b772', 'd124663c9b0bba5a', '7277318e530f2a41', 'e17790b2f36e4c30', 'ab5ed6624644f825', '9825644a9714109d', '3a37a1b2a1ea13f8', 'bb36dd0e45474503', 'f5c90024e0c40fa8', '22ca83423c4a8c9c', '896854a5d7c5179b', 'a01c907f0070d11d', 'a134112256d679ba', '8ccc670b427d277a']; context = [[20, 75], [4, 76], [10, 52], [28, 91], [31, 90], [28, 95], [44, 103], [130, 174], [65, 132], [8, 59], [4, 47], [41, 82], [4, 61], [69, 118], [46, 113], [15, 81]]; loss = 0.032546 low_pass_filter = 0.300
+Epoch 0: | | 30689/? [4:50:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 30690; scene = ['afefafce8f467d96', 'db3d51c462a54a7e', 'f26e8a72f69b6153', '2059d1d6c79bc51b', '895fe07be01436f1', '993a85e1b690e97d', 'f26c35b6e5dca2b9', 'd0ee747ebdd26d7f', 'de0c00eac13d6563', '658d3f56767f0396', '45042d8ceb9440cd', '09baf34837b78dc6', '8e4125f4e5f8015e', '292a077510e4423e', '1387b0d66678f867', '8030e59b90ab02d6']; context = [[0, 78], [93, 151], [126, 186], [6, 54], [23, 84], [84, 140], [37, 110], [98, 142], [9, 67], [77, 130], [8, 63], [66, 110], [6, 57], [39, 81], [201, 275], [31, 73]]; loss = 0.031667 low_pass_filter = 0.300
+Epoch 0: | | 30699/? [4:50:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 30700; scene = ['d62c060a62da110e', 'ffda743d376dcde8', 'd81116dc8c96547e', 'c81095ff7cc7034b', 'b45e47d231088428', '1318e656455d56d2', '53a2168e29e700dc', 'a535813b18e86b5c', 'd02e6b104723d39a', '91ac7d7027dcc46d', '57cea8a71cab48cf', '051c6fc0722d51f7', '33e825f8a32b472f', '1290f3a6418b3dde', '289adac94281ccb3', 'd6693f13dec7af96']; context = [[5, 47], [84, 129], [38, 111], [4, 64], [38, 98], [52, 129], [16, 84], [17, 95], [69, 142], [52, 114], [17, 81], [9, 59], [18, 64], [222, 275], [0, 68], [12, 59]]; loss = 0.026139 low_pass_filter = 0.300
+Epoch 0: | | 30709/? [4:50:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 30710; scene = ['3deea102e0d63de0', '1503420278efc893', 'ccc8be51521d6fad', 'f58a95c7f2042462', '5ed8e93ce775d09d', '33e022076dd375fd', '4587fa54c8e17af8', '65c4989cc1efa746', '483aaca9d363c641', '25f03bd9c39ab064', '28d7e19c6e24d569', 'a589cacd1404a0c5', '7efcb8cf3ccbd340', '1d30d8bce2897a08', '63a408decbee5e99', '30c166d197c85de0']; context = [[38, 114], [69, 122], [30, 98], [1, 77], [121, 170], [42, 90], [69, 128], [46, 91], [9, 79], [1, 59], [1, 62], [14, 84], [14, 81], [12, 89], [142, 197], [29, 99]]; loss = 0.024508 low_pass_filter = 0.300
+Epoch 0: | | 30719/? [4:51:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 30720; scene = ['2687bc1e51a4e36d', 'd9a5d625a7e07b16', 'd036f6f2ad1e3e8a', '34efaf4f55a91b71', '7f42a24413a95630', 'cd2529997d3ef9fa', '3d91b43e1a09c619', 'c1575fdf39330878', '1ccf620f6be00648', '8ead427494d4082a', '073b157ef9c22ce8', '0b4ee64f2a7787a3', 'd1850dfd19d9717e', 'd9df345fe1518eec', '899aae28d5e32d0c', 'ed1d3c0db41a3c5f']; context = [[0, 58], [137, 196], [79, 139], [128, 191], [11, 54], [12, 56], [25, 81], [46, 88], [15, 89], [131, 196], [29, 89], [1, 42], [7, 65], [65, 106], [4, 51], [1, 70]]; loss = 0.043923 low_pass_filter = 0.300
+Epoch 0: | | 30729/? [4:51:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 30730; scene = ['46949cf576795db3', 'fbe7b4c8640ba0a5', 'de241fa49d4538b9', 'c959ec78eb78eeb2', '6f5fa8822922873b', '249ef8a07044111c', '0538e5f42c8ac365', '1b3fa34de7e27e2c', '141e9a67571a1f88', '59644d767b717d5c', 'e6ae06f558163220', 'bccf9a3c137d10a0', 'ae55f82e5c275523', 'a02173ec86dae4ba', '1675958d1a94603c', '8234e036ca5e340e']; context = [[87, 155], [4, 69], [6, 66], [1, 71], [39, 113], [46, 121], [88, 148], [7, 62], [46, 98], [75, 132], [6, 58], [8, 64], [1, 58], [13, 82], [2, 58], [3, 80]]; loss = 0.031915 low_pass_filter = 0.300
+Epoch 0: | | 30739/? [4:51:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 30740; scene = ['759e2542191f378d', '73f43de5db04dfe0', 'c2c821787e56e360', 'a46ec935d9160aaa', '118615819dc51e02', '1d6ad87563cd4ca0', '2c6919b0d8b416b0', 'b559a169a37a3e2d', '74c52f40a18abe89', '0760a2a0492ef091', 'eb47853e5d196bac', 'b8a6856223d747d1', '9adec8c032fcd83f', '61192f0214d4d354', 'fe8bff5ab1ce6145', '8259f4960285162d']; context = [[81, 152], [146, 213], [5, 53], [31, 93], [0, 41], [13, 82], [12, 53], [27, 76], [196, 249], [154, 224], [65, 127], [146, 188], [179, 224], [21, 77], [33, 93], [20, 71]]; loss = 0.027637 low_pass_filter = 0.300
+Epoch 0: | | 30749/? [4:51:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 30750; scene = ['1cb7b534b1a82b02', '9b36cd244baab44e', 'e20f3440223cbde1', '82ba678c941b6578', 'd5a86126a4e39e7a', '07790cb4884e1502', 'ddc11c891f471dd0', '5649070bc0083d83', '12e85fb6e140ee85', '43e59b21a3805c73', 'c3d6a82b60bdfc35', '837a853e726c6ad2', '7d697ca690248324', 'cdde30f3352829cb', 'd83580d64d62f887', 'e7222b23037f83f7']; context = [[52, 112], [9, 79], [11, 67], [58, 110], [155, 214], [29, 75], [105, 146], [2, 43], [55, 100], [229, 274], [5, 46], [3, 72], [125, 198], [16, 74], [49, 114], [84, 140]]; loss = 0.027402 low_pass_filter = 0.300
+Epoch 0: | | 30759/? [4:51:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 30760; scene = ['de389793b2411ed3', 'dc7049ad80e43f68', '283653f302cda895', '54b4679cff88a6e7', '22aabb68991097e2', 'd6df31b91d86f26a', '8926ee7e50292e45', 'f53ae42fd04748b9', '24a1a6c52a633727', '19c383ad9f21d0d3', '695a0b84b4897787', '760b7d4422f20505', '0cffc79651746ff3', '57175f0ed3caaab0', '3bbe67a40f903aa2', 'c2cdb9a6527a06b8']; context = [[73, 144], [30, 108], [7, 68], [144, 208], [83, 147], [110, 164], [10, 51], [65, 122], [16, 83], [63, 133], [20, 65], [25, 96], [59, 107], [159, 225], [29, 80], [69, 122]]; loss = 0.022903 low_pass_filter = 0.300
+Epoch 0: | | 30769/? [4:51:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 30770; scene = ['06f0d295c0618b29', 'c07ea4ff919e5f92', 'df6d924afa10c79d', '2f14ade8275798af', '843e35674433ecd1', '8afd5d2eba4c6bcf', '6d766316bf6164d8', 'dfb5c99dbddb203f', '9ee04fc0893141e9', 'b9760b24420bb8bc', 'ae8b6f4dee0413bc', 'c6b938515500f5ba', 'e90b1b1f508baa0e', '1175385ea6249669', '515065d21eb01030', '95e545a3708a9f60']; context = [[24, 66], [78, 121], [100, 169], [10, 82], [21, 65], [27, 77], [35, 84], [0, 51], [0, 54], [113, 173], [0, 67], [61, 115], [32, 81], [24, 70], [8, 56], [11, 65]]; loss = 0.033983 low_pass_filter = 0.300
+Epoch 0: | | 30779/? [4:51:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 30780; scene = ['bbaab11c9da5fa23', '5a270baf5637e008', '67cc43badf38da40', '82bc67c1ccff631e', '34dc2fc97f0847ec', 'f9eb323d5f901122', '0524d3d2e823ed7e', '36ecd2c090551e5b', 'fc454ba4fe081bcf', '7715e2b33306ae7c', 'fe5c3e12d699d77f', '991950cbc1228573', '8c4e0111b36af46d', 'a5572e0144dfdcc2', 'e2ad007f157fce09', 'a4b502cb83a02b68']; context = [[22, 75], [11, 89], [25, 85], [73, 120], [4, 78], [10, 66], [28, 86], [32, 84], [1, 55], [123, 196], [49, 119], [176, 231], [13, 78], [35, 95], [26, 84], [0, 70]]; loss = 0.027731 low_pass_filter = 0.300
+Epoch 0: | | 30789/? [4:51:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 30790; scene = ['4380710fe040e93e', '152ec9bbbb4d13d2', 'cfe3727abb3eb83a', '97052983913580e1', 'f3ed8d2562b3bb55', '70e73cd89c3a3cc9', '51723a3c78e7e420', '2ba622b78fc4569c', 'b3ce0a1b64b915f9', 'b6efb653209b341c', '1198c875e8b58d45', '23317565a1d37489', '5d09191618df4e27', 'c78fbc4042f91358', '8c491d4e4f409c56', 'ef03ee83ae08d3ea']; context = [[80, 156], [5, 66], [18, 91], [4, 52], [27, 82], [11, 80], [10, 68], [4, 71], [77, 149], [116, 185], [37, 102], [3, 53], [32, 101], [15, 65], [37, 104], [13, 64]]; loss = 0.024070 low_pass_filter = 0.300
+Epoch 0: | | 30799/? [4:51:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 30800; scene = ['244f77df7b4aeb64', '08995d12c844a39e', 'a5989d5f9f66c05e', 'e0ca570de3d5244f', 'c358c22b6dacdaef', 'f38d65464a5edac1', '9eb26a1771bdc736', 'a1d3f2e765955d2d', 'c7afa69038025a01', 'cafb5c4d141984d0', 'e100c11918671a33', '0bba94b8d4c22eac', '56a3cab917fb2f23', 'dd086087400ad408', 'd412ad2f6f4b6e07', '5b64b5760c7503f3']; context = [[11, 82], [27, 71], [12, 71], [94, 155], [29, 73], [55, 107], [1, 43], [60, 107], [6, 70], [104, 168], [22, 86], [15, 57], [43, 119], [1, 78], [36, 95], [3, 55]]; loss = 0.028378 low_pass_filter = 0.300
+Epoch 0: | | 30809/? [4:51:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 30810; scene = ['2d9c1a7e8547c7f3', '9695907dbf989efe', '594abec0005340e8', '55547de472ec6dc0', '6e66c457e475a239', '525228f8d23ba3c5', 'fee419913751e69c', 'b5a5332b0270c905', '4b2f7bb82caea25a', '4e421f437623583f', '419ad326be6abaab', '7db6add2937e3476', '0f71375e8bc5f854', '6212b6c618036592', 'b6bc2793bbe942c7', 'af036de282b85051']; context = [[5, 50], [161, 214], [8, 67], [8, 50], [0, 54], [2, 46], [5, 63], [22, 96], [7, 77], [193, 267], [17, 63], [23, 95], [41, 88], [149, 204], [9, 81], [230, 278]]; loss = 0.024455 low_pass_filter = 0.300
+Epoch 0: | | 30819/? [4:52:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 30820; scene = ['c4a0a83c57a88c2c', '63a8ae5fdd8d4ef4', '87e1fbed34285e0a', 'decd3a7b741163f3', 'fbb1b75783056c76', 'b620ffb62a299ec1', 'b0d138fdee349f71', '0e6c59e9cacbe147', 'ca8c1158ff1714b6', '8387b3316a67cfeb', '83da596fda844e13', 'bed50122582298d6', 'c8a73564d8b4de57', '53aeb61ed80422d1', '7fcfbbf8ce73e9f2', 'f3240c7519b47306']; context = [[31, 78], [8, 79], [24, 100], [13, 65], [8, 65], [18, 66], [0, 63], [10, 63], [55, 114], [1, 42], [6, 66], [39, 107], [82, 143], [4, 50], [70, 140], [8, 81]]; loss = 0.025760 low_pass_filter = 0.300
+Epoch 0: | | 30829/? [4:52:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 30830; scene = ['d75c6d4a9b90264e', '91ae7aa8ffd1cea6', 'd42efb39cd972a19', '1663112dd64c920b', '8c7200b306fdf9e1', 'd9590036ff6fd866', '18152facf0d07c56', '257e2910b28b2b2b', '13fb6dfffa691232', '7ceaff866deb1fe6', '2b429b35c3c77565', '24f2a4aa9a450e96', '401392cb1a6898f4', '06e2a44e9e78709f', 'f5f030f093af6b26', 'cee85cd29d8808d6']; context = [[4, 55], [57, 102], [31, 108], [139, 198], [14, 58], [10, 71], [19, 95], [18, 61], [4, 73], [6, 62], [19, 90], [83, 126], [167, 229], [33, 82], [72, 133], [36, 91]]; loss = 0.033782 low_pass_filter = 0.300
+Epoch 0: | | 30839/? [4:52:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 30840; scene = ['eb8ffb027521cd3f', 'b731f727dd51f5ac', '6cdd423fa03d121a', 'fe949482103cc3ff', '12e062f03f2e1ed5', '44fc5677e722caaa', '5ca6e5592a9360bd', '6c3ca5d5638ee27c', '75d0af62ff6d8a99', 'adc0361ca9865797', '8fcdb1d163e2082d', '4d2f018694d151db', 'cf0f04664365920b', 'ac53955bee2ad533', 'b85b9e575ba37be6', '84b0d7afb0dc1068']; context = [[117, 195], [65, 127], [29, 76], [4, 70], [113, 165], [17, 88], [34, 91], [189, 266], [67, 142], [103, 174], [1, 42], [129, 199], [32, 89], [1, 69], [119, 188], [13, 54]]; loss = 0.026837 low_pass_filter = 0.300
+Epoch 0: | | 30849/? [4:52:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 30850; scene = ['c8352778f6f46fd7', 'c3b965a5e39ef192', 'da8524b25e4dc8de', '90a88f61bf407368', '027c1f8fdd9ddf10', 'e8bcc2e3fa0b3809', 'e106861cc56406aa', 'a40d0c82b3ccacb4', '995cf7faace19c86', '92c8e9d454349b35', 'f9ca9a22dab95c1d', '6bc24ef0e784d244', 'd0c5d78a6d833bda', '2fcde6f2b5ac4db5', '76f02583342a49fc', 'dfb8798de06ecf3f']; context = [[19, 61], [58, 136], [129, 170], [43, 97], [46, 110], [190, 267], [47, 97], [5, 76], [215, 264], [3, 75], [4, 73], [24, 73], [193, 265], [0, 55], [78, 136], [23, 84]]; loss = 0.031663 low_pass_filter = 0.300
+Epoch 0: | | 30859/? [4:52:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 30860; scene = ['61e3c3e1421e1aa9', '3bca9bd0b5f7113e', '8be4cc3c5d1ecc42', '4fc6848542c0dd7c', '0c7f4298ec3f892e', '97e66229327692ad', '5d250a0bdaee3653', 'a55c5825e25b380a', '302ea811b8794cb1', '3b4b2b3ef0219aee', '981ea5a0178ba974', '203dcb5778d83f66', 'd7fa9860667bd9b9', 'f91c62cbc0f2b02c', 'ac7dc6792b6062ba', 'b0b372ac64a28928']; context = [[65, 129], [201, 253], [2, 73], [5, 68], [138, 189], [3, 68], [10, 52], [37, 101], [218, 261], [8, 52], [59, 127], [3, 81], [216, 270], [41, 89], [88, 137], [3, 72]]; loss = 0.028500 low_pass_filter = 0.300
+Epoch 0: | | 30869/? [4:52:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 30870; scene = ['156a99bdda94ab15', 'd02f8cad1ec64f2c', 'e58f27f45d7cce3a', '7c5f2a6693417896', '6dae04908285c48b', '5e924b8c9d7abf31', 'a89d49837b7303c5', 'e432d8c790cca366', 'b0b276251c83bb91', 'b9c46af1909b96a1', 'd70da7618ad91f13', '086d3516db9b7109', 'c2e9139a0b8292bf', '5fec93795636099b', '6c0bdb5e8e11f0de', 'a96149035e0625a4']; context = [[23, 76], [34, 106], [148, 194], [207, 249], [12, 74], [112, 176], [82, 152], [62, 123], [86, 154], [1, 69], [0, 44], [21, 92], [15, 57], [10, 80], [77, 149], [11, 78]]; loss = 0.028474 low_pass_filter = 0.300
+Epoch 0: | | 30879/? [4:52:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 30880; scene = ['fb9876fcf87bd435', '0c3a4203b6965291', 'eca8bb9b86725710', 'e1209d28a6625e83', '89688b095738c643', '08f3bfbc5bd0a438', '2443607afe3596b2', '95f1c90080b4d6a1', '2436a7535acef810', '59f826743517b9c7', 'b2002f67cd58c3f3', 'c8be2a65ab3523bf', '1368397e2dcceed5', '586c40e55dd9917b', '44ca078432802942', '5f204ad1cc82ddaf']; context = [[2, 52], [5, 52], [11, 58], [38, 114], [13, 68], [33, 82], [177, 229], [9, 65], [37, 107], [38, 87], [2, 55], [2, 46], [8, 57], [4, 76], [37, 84], [55, 116]]; loss = 0.022129 low_pass_filter = 0.300
+Epoch 0: | | 30889/? [4:52:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 30890; scene = ['325f0d952af7be66', '8051aa7029dcfd9e', 'fbe6e2473b2cd36b', 'dfb361bb71a80673', '10d2462c4956b400', 'f6648599cc90bba1', '17ac7173703a0492', 'e93c17ff47b5f91e', 'e4beb47b3efca0c2', 'e161f89081cda540', '4086b56fb5de6a43', '772a99d24181bab5', 'b6aeea13000a0e65', 'e1a16e9c4b3e53cb', '78fdc7f3dc172dbd', '16bec92b78086484']; context = [[28, 92], [4, 48], [52, 100], [87, 141], [78, 134], [121, 180], [59, 126], [0, 55], [176, 247], [17, 94], [0, 41], [82, 143], [180, 244], [4, 80], [1, 46], [0, 46]]; loss = 0.029909 low_pass_filter = 0.300
+Epoch 0: | | 30899/? [4:52:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 30900; scene = ['004f2522f3d42f94', '81c13db7794eeec8', 'c07c3b338ce22c3d', '2c842bb91ad229b5', '3f718ed2439aa1c0', 'de1221dd6506c5d0', 'f4559e045f3090e2', 'ae102f2e58ac735b', 'd7ab125bec64362c', 'ae13716dee49ec9c', '868bba780260c9d8', '38d897635c61c8c9', '81eb6c7798c391a1', '5e56cda42b8a9d7b', '9c6ef1e78270e053', '276a13f09ec9a0dc']; context = [[117, 162], [78, 123], [31, 74], [5, 81], [17, 61], [30, 82], [23, 79], [16, 70], [22, 78], [174, 243], [7, 77], [5, 76], [10, 74], [1, 44], [29, 102], [92, 135]]; loss = 0.028608 low_pass_filter = 0.300
+Epoch 0: | | 30909/? [4:52:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 30910; scene = ['a8721e585f04c0d9', 'd6cbf06455a161e9', '7f6a3a9c5cb0aa56', '06abe63d93bc1293', '86713b2ff209a590', 'd3ea0da9ec0d6d1d', '55e29423b38878b2', '6320f8f8c0cd9ffa', '48590f55d3a36491', '8ce5728c7aae2302', '9d13d970ed008381', '32e8c162218922ad', '06ed257e33ae67f5', 'e98d838758c7b400', 'c12a1f3bda8f533f', '7a6899ae0fe7b2e1']; context = [[19, 79], [114, 183], [75, 117], [1, 73], [8, 54], [49, 96], [0, 52], [17, 84], [172, 222], [3, 45], [144, 208], [19, 76], [44, 121], [32, 95], [27, 105], [28, 75]]; loss = 0.023315 low_pass_filter = 0.300
+Epoch 0: | | 30919/? [4:52:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 30920; scene = ['afc8e955b8c9517a', '6bb5c60edea6cfbf', 'a539cdd0182bcc7b', '72a9c61ce291388d', '4ac2a29fadf3852d', '47bbe5be6d1a1faf', '9a7592ed3d928a81', '1c3978a2a10683ed', 'e806c8996c08edcf', '42dbc601fe2ef235', 'efbe907be10f9dc1', '40afe34a720b2555', '35d21e2bd3e505be', 'b4129ddd2e8d9ffb', 'b123704b82a98e73', 'ba7bebabc6b4f278']; context = [[17, 80], [1, 42], [59, 136], [57, 102], [7, 63], [36, 85], [30, 85], [25, 75], [127, 182], [40, 111], [31, 107], [8, 66], [15, 64], [1, 45], [129, 197], [22, 80]]; loss = 0.030020 low_pass_filter = 0.300
+Epoch 0: | | 30929/? [4:53:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 30930; scene = ['f01c5823afd06b8f', 'dcd8192614eb6df6', '8ab06b946305e748', '47b06bf4257e2e6f', 'e47853cf56368a5b', '6f4fa4d46828ff39', 'c8af8613f643a65b', 'ed981652ad74f345', 'db13eec5ac6b1c56', '6e3772dfbac86778', '3c3e1619744887ca', '72101c504a4c57d4', 'd8d2bdf1e73f63fe', '3604d95a480cfe31', '510e05e121226e7c', '3055585671a8da3f']; context = [[24, 102], [49, 101], [5, 46], [29, 76], [22, 84], [48, 105], [212, 263], [2, 69], [6, 72], [71, 148], [119, 177], [54, 109], [41, 113], [0, 51], [2, 73], [65, 135]]; loss = 0.027420 low_pass_filter = 0.300
+Epoch 0: | | 30939/? [4:53:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 30940; scene = ['bea43630a34a7d1d', '4ef18be85faf6cf4', 'b5c6a9eb31608879', 'f89d66011d728f21', '2ddf078ebe289075', '7f85e2eaf1461d09', '6dc9c8f3d2f53384', 'c17e5a0f4b70ddfb', 'd810a0fc73549bdb', 'a47b0cb2689fce05', '8d0f46f4f1a0fd8e', '22d9cbefa3ad1b62', '1f4e65a2b3e515d8', '501a6d9300cc8476', '71e569007889ec0a', '2e5bdbb0f8059c45']; context = [[106, 168], [155, 207], [78, 129], [167, 215], [77, 125], [11, 56], [70, 119], [74, 137], [3, 69], [43, 121], [8, 49], [134, 194], [6, 72], [112, 166], [1, 46], [39, 110]]; loss = 0.030550 low_pass_filter = 0.300
+Epoch 0: | | 30949/? [4:53:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 30950; scene = ['a18e1a568b0b71ec', 'e3163ed6369a0cc5', '1ccf8e66b3204773', '3421821e39949234', 'c29d5f58f66a9102', '1bd50f99c461fa1e', '61e3f2a90af611b2', 'a2a4bb9b88e3f271', '2e42cb5881b4a406', '32f5d4268f84fbd7', '3354fd1e4ed18583', 'e5406e09b4bd291d', '31b5f9e254a8bded', '01199e81be41c98a', 'a908c16e18bef0ff', '7a92b127f35b7a6a']; context = [[204, 255], [42, 99], [44, 118], [61, 112], [22, 76], [0, 44], [0, 45], [85, 135], [117, 194], [4, 58], [99, 147], [25, 81], [1, 77], [122, 200], [28, 84], [0, 58]]; loss = 0.027896 low_pass_filter = 0.300
+Epoch 0: | | 30959/? [4:53:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 30960; scene = ['28ea6096b062a3c4', '623f0cd8db399bb3', 'd326c36a1f07eb95', '65a6c20a8ea9f4c9', 'eb40aaecc4b724ab', '6e1dab31049b93eb', 'a050bb08dbd32be3', 'c0af5ed42bc049ee', 'cadae2515c0083e4', '75b739724bcf0f74', 'ccaac6fcccd9da08', '7e943005dfaafdc4', 'b4084b424f1e1a80', 'c30ceef53fe9f55c', '4881f7066e1c8c91', '627e3c3515df5daa']; context = [[21, 84], [3, 45], [19, 88], [19, 64], [42, 107], [3, 57], [66, 119], [27, 78], [2, 62], [0, 42], [19, 83], [180, 227], [21, 90], [0, 41], [7, 56], [15, 60]]; loss = 0.032562 low_pass_filter = 0.300
+Epoch 0: | | 30969/? [4:53:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 30970; scene = ['5c2bcdae45b3b7c2', '7bc72ab83e1ddcce', '884815c3ec6119e5', '21e2e9ad21492fc4', '77b9d40d5d9278bd', 'b1da72d206686bec', 'd67e551cfc3f6a4a', '9db5d6f52db8ebca', '16b14534c3561c6a', 'f6c0fd481ddb84f4', 'b210d777c3b1b8db', '03a8cb9065084812', '97ce213c42aafa55', '299452d01e7e3684', '1f9d4ff0ee12db50', '575b15967a383d40']; context = [[36, 114], [73, 124], [6, 47], [60, 105], [81, 128], [41, 117], [4, 47], [49, 127], [54, 105], [0, 41], [169, 244], [0, 43], [2, 43], [77, 133], [155, 216], [8, 60]]; loss = 0.024863 low_pass_filter = 0.300
+Epoch 0: | | 30979/? [4:53:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 30980; scene = ['9a53d1c17fe9886e', '79ed99e48b88be06', 'c79455fedb06f07e', 'dddf255e4417171d', '8fd4563fc4ad666b', 'f9d6fd21c2364932', '3de0aa44194c37c7', '16eff43540f42046', '891618b015a26c95', 'd2ba10930fe34ee9', 'a744fdc585769a4b', '5d21b42ceb929377', 'faea448f2b4288d3', '9fe032b64b5b91df', '40d6b441889e1124', '562335093bc96094']; context = [[106, 176], [174, 226], [0, 58], [88, 136], [1, 48], [152, 212], [122, 166], [1, 68], [36, 99], [26, 92], [7, 52], [12, 65], [6, 50], [31, 75], [1, 69], [8, 83]]; loss = 0.027875 low_pass_filter = 0.300
+Epoch 0: | | 30989/? [4:53:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 30990; scene = ['3c4bc72a79c67319', '8106401c3015f193', '29ec1cdce3773212', 'c4874263cf3db05d', '46b6815db9c390d6', '549110453313554f', '0ee698ea63df4fbd', 'eb0ab00754559fc2', 'f16e17b3760c6621', '8d1c21696859cfa4', '57ab998454402e4b', '491b6e80ec6e3f6f', '57f08b58536b695d', 'e3e1426981836ca9', 'ed8d1829b15314e6', 'a3425c7fb9b40192']; context = [[9, 82], [46, 104], [66, 125], [13, 61], [16, 62], [30, 77], [7, 48], [37, 88], [53, 113], [1, 56], [92, 148], [22, 70], [15, 61], [29, 78], [102, 180], [72, 149]]; loss = 0.029600 low_pass_filter = 0.300
+Epoch 0: | | 30999/? [4:53:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 31000; scene = ['7cec1efa34eebb2b', 'c3ea88797ba49d4a', '695a69f73b976dff', 'fc6915f078c99c53', 'f5b6c988d6461e03', 'e7428d7ad0472a80', '2e904050b495396f', 'cfb684150c0d3084', '3b0eb3d75bee5a3c', '6699bdc07abafaf3', '2d91d0f623819b59', '2ab7191767060703', 'a326c1789c4252c9', 'fd685a5cad0a5de2', '2139caf346127018', 'cec246dd08244706']; context = [[5, 59], [6, 75], [24, 85], [6, 52], [13, 83], [44, 88], [29, 93], [27, 86], [11, 69], [1, 52], [105, 159], [72, 118], [77, 134], [7, 80], [194, 256], [129, 204]]; loss = 0.024351 low_pass_filter = 0.300
+Epoch 0: | | 31000/? [4:53:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000validation step 31000; scene = ['7958600c70ee8a9d']; context = [[39, 81]]
+Epoch 0: | | 31009/? [4:53:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 31010; scene = ['5376cc836571e8d6', 'ef37be4851962545', '809658c303767e17', '37d8d38f0ac90651', 'a7cdd9d5e6221d68', '9bff32f6dc3defea', '29caaff58a530496', 'aa809e649155f86f', '95944b694ab2fe24', 'b06d8179dc790851', 'a2c3934b695a1514', '1f1744b617eb9080', '36752f8fe51ec622', 'c18059287117dc42', '30ad1d6e17b4922b', 'e1cdd73fcf663dff']; context = [[90, 146], [56, 124], [48, 92], [0, 45], [11, 65], [38, 104], [0, 43], [181, 255], [80, 149], [24, 82], [47, 112], [48, 122], [171, 216], [27, 75], [20, 70], [0, 64]]; loss = 0.024556 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 31019/? [4:53:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 31020; scene = ['85ccc785967a3105', 'd204a75d5c724077', '9d225d862634015b', 'fd2dfd73f01c7262', 'f36ad32e649117b0', '6eb91624364aaa65', '07659a0418a472c8', '5258ae529f43e083', 'd5835fb2f9cdf90d', 'ed4f0b586c17396f', 'b971447d48d42607', 'f8381fee65a4081d', '64d626f25eedc00c', '9baca1fb56d285e5', 'e3c4633a7dae9e7f', '4b8b2a2c1a9fed56']; context = [[51, 96], [5, 66], [95, 142], [28, 93], [0, 61], [48, 116], [18, 64], [1, 45], [92, 138], [27, 104], [8, 76], [91, 141], [220, 264], [42, 95], [22, 70], [0, 65]]; loss = 0.027868 low_pass_filter = 0.300
+Epoch 0: | | 31029/? [4:54:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 31030; scene = ['5ffc4b146d257165', '91c5409da74ce91f', '82540acbe82766f8', 'b5fb28b030ea4b59', 'c3dded599b909ae2', '39471e2adb4414ce', '09fd211b89bd6521', '2a879367c6a68663', 'c12c65057bc900bd', 'eabcce6ee6da5414', 'cccba3d6888f0e55', '927a478ee4bd431a', '02e3bcaee841305c', 'c6bf775877e6b91c', 'c0e5cfa6c1302f81', '32e9d44c0fefae3d']; context = [[48, 100], [165, 209], [54, 116], [169, 223], [0, 56], [201, 273], [39, 103], [84, 138], [186, 249], [101, 149], [83, 127], [90, 153], [88, 152], [97, 156], [17, 73], [39, 114]]; loss = 0.026175 low_pass_filter = 0.300
+Epoch 0: | | 31039/? [4:54:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 31040; scene = ['443f21df464db8cf', 'c715668eed2185c8', '9fd3290cb9824a73', '3490d69bb9b94e04', 'e57e823e91ecadc1', 'c2289c708c7f0629', 'a4f23e07467a01f6', 'bf80a0c4f9a745ec', '44c693695665aaa2', 'ff6db2e6978774e3', 'a9f37c71b1b5020d', '4ff236b2462faf59', '04de8393f28baf2f', '8ce487e5f7832de1', '293fd741a4b1418f', '910ea84fe04de798']; context = [[50, 117], [102, 177], [24, 66], [102, 150], [4, 66], [0, 61], [148, 224], [2, 63], [21, 76], [17, 66], [20, 69], [8, 68], [34, 105], [124, 193], [155, 212], [16, 64]]; loss = 0.025410 low_pass_filter = 0.300
+Epoch 0: | | 31049/? [4:54:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 31050; scene = ['bcf299393ee2171b', '43e6289d0f0921a5', '918bd53dd8ca7271', '817e228e9c74d745', '90d70bc4c159efe2', '0777febffe7c2d96', '035cd2c68a13badb', '794a82e0519160c4', 'e3bca018a714db69', 'f7c3b63d80925cd4', '893335afc78c8685', '230dcd170cc900ae', 'de665a63685bdac5', 'c7c0c51904557bfe', '38912229bbad2408', 'cd99f1324c190187']; context = [[64, 105], [2, 53], [8, 64], [5, 57], [4, 58], [83, 128], [37, 81], [2, 71], [39, 104], [82, 129], [39, 91], [156, 228], [126, 182], [36, 99], [155, 219], [0, 41]]; loss = 0.027904 low_pass_filter = 0.300
+Epoch 0: | | 31059/? [4:54:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 31060; scene = ['421f5f08654eeb52', 'b4c0a296374e37e6', '8bd5cb1a874d6fb2', '26cbeb9c90a8c39a', '6aa0dcada008156c', 'd28280a7e6f82721', 'f53a324e7aab70d3', 'ee89c7384cdb8971', 'a8c36697aa4bea80', '9d6350a3fac739f0', '38c12a529bfad8b5', 'ad4b81bb89bc6525', 'deb6046f6f2ad343', '8cd78babfa1f6285', '55c617bb076c3461', 'a8308ce726296b25']; context = [[42, 113], [18, 81], [47, 112], [1, 68], [19, 62], [69, 123], [0, 61], [60, 133], [7, 61], [3, 67], [6, 72], [64, 129], [51, 105], [11, 66], [13, 68], [25, 93]]; loss = 0.027191 low_pass_filter = 0.300
+Epoch 0: | | 31069/? [4:54:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 31070; scene = ['4e43f52092ef6306', '7374cc80de8a5479', '181c6124dfe721de', 'f4f6fee80c36721e', '1157e06fc0b745b3', 'ca944899e14d4799', '00b31f903ceb11a8', 'a5207b8d6b307bab', '3b57ac636da7426e', 'a5812ef0bb0bc156', '4c3e1a9242e4bb83', '1237fe7b4b2ac7f6', '5eaa519bafc221d1', '422d26887c24af8f', '4a33995db5dfb77a', '146ab7cfd6c40080']; context = [[87, 144], [8, 76], [9, 62], [200, 266], [10, 53], [2, 50], [14, 65], [108, 152], [16, 81], [1, 53], [7, 69], [51, 104], [74, 131], [61, 133], [21, 65], [96, 144]]; loss = 0.027525 low_pass_filter = 0.300
+Epoch 0: | | 31079/? [4:54:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 31080; scene = ['f9835f45bbc6a4fa', 'd9743a1e2ccdbe4f', '188274ebf887bdc6', '85f4c57627a479a1', '3e74bba8632c9324', '3f3f6bbad755230f', '913bc26ba7d3afc5', 'd0db77f773444638', '4ad8aa55f3b300e2', '72af17dcf2eba0cf', '4276394e8565d036', '4b3e117d4f50b167', 'e197531346c5f079', 'df4e1717577f82c1', '541d8c4da94d9047', '4b67e4f68e085f45']; context = [[26, 80], [0, 42], [4, 76], [49, 102], [51, 125], [48, 126], [5, 59], [88, 156], [20, 76], [29, 90], [41, 92], [2, 64], [10, 64], [63, 121], [82, 128], [9, 50]]; loss = 0.033817 low_pass_filter = 0.300
+Epoch 0: | | 31089/? [4:54:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 31090; scene = ['6c0e4126b5d4e92f', '8ecfc78b396022f8', '568574ce26f78d2d', '5d2c51639483b85d', '0d401f1b0cb3d6d0', '8a5ef9fcbbbd0715', '75cb938ef32ffdbf', '4f56ecc3ff0e7b5a', 'a9139b3b3fda05b5', '99e54f5d33ec0f09', 'd4e43250c96c98c5', '3493d0e1fde910f1', '3a54044fe7cf177d', '077972a0fc9c4962', '7e43b61bc188c129', '2fd2e724a6a04576']; context = [[38, 106], [65, 121], [9, 81], [5, 76], [176, 246], [26, 99], [10, 51], [42, 101], [169, 230], [4, 73], [152, 229], [0, 53], [77, 131], [10, 73], [84, 132], [39, 109]]; loss = 0.026114 low_pass_filter = 0.300
+Epoch 0: | | 31099/? [4:54:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 31100; scene = ['0eb636ce2b575fbf', '163f24b2f0443e8e', '0c293d0a8ef0d3aa', '0b8f2051807ee7dc', '499d86e3dec59f3b', 'f8166f21ce9c4e10', '5c907b99b4003976', '4aef5d4b9287e08a', '8db516061dca4e75', '5b86537af9058e2d', '7e90b94157b6f2f6', '78bfcb719521a42d', '9fce6892002b07be', '664bee14eb38844f', '31ac7622b76950eb', 'e1114da18e84076d']; context = [[51, 108], [35, 92], [27, 93], [97, 144], [94, 169], [1, 62], [138, 188], [56, 101], [117, 194], [3, 56], [54, 122], [10, 60], [51, 114], [54, 119], [7, 66], [18, 70]]; loss = 0.052518 low_pass_filter = 0.300
+Epoch 0: | | 31109/? [4:54:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 31110; scene = ['a6e9da5f8ea25c34', 'c03dae8d29e59980', '8bf81bba5bab3b3d', 'e90baa038f233699', '740c1fccd9bf4e71', '59ae4ac63c0a11df', '32b8efd8ec5394cc', 'a31126062d4f7523', '30c73eeac2721d1e', '7e8c9830537de3fb', '8c2797e7eb81c6ad', '0d8ee00c443dfbcc', '4491a520e2ef3b25', '2403255d91f4108a', 'e18a4b06e5cb8d8e', 'bba9c4e1979810b5']; context = [[29, 99], [26, 102], [102, 150], [21, 68], [21, 77], [0, 61], [57, 106], [178, 237], [11, 65], [30, 102], [1, 65], [64, 114], [9, 67], [108, 180], [12, 55], [0, 53]]; loss = 0.027191 low_pass_filter = 0.300
+Epoch 0: | | 31119/? [4:54:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 31120; scene = ['18569e146ef810c9', '956da09524afb029', '30a0d868659a463c', '185c62b6e5987061', '0d84f49089c8d865', 'e569151c181805ef', '83cf02966f5f2d89', 'b89e7d0efbb85edc', 'dcfdedb838bddcba', '20a3585f1eea662d', '933b02e03030a30f', 'e105f9684d242932', 'fd7dda2e73e2ad17', 'e3004ab618aa0b49', 'b88b281f64f2c095', '6b4e967ca81ba41a']; context = [[42, 96], [33, 91], [30, 76], [27, 69], [8, 77], [55, 107], [3, 62], [0, 70], [4, 60], [123, 196], [1, 50], [4, 59], [12, 89], [103, 153], [2, 78], [5, 62]]; loss = 0.023291 low_pass_filter = 0.300
+Epoch 0: | | 31129/? [4:54:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 31130; scene = ['ca80b6da89913682', 'f300d1d7a9d5cfe1', '80851bab9af75349', '45cf7b4826be3134', '4207745c5903a0d1', '3bf83c412718628a', 'abc03ad39b4cab48', 'e4854b3832ac68df', 'ae86930f92675dca', '3e9d3d26ac255668', '9a00aa8f9df87b1a', '0ec48a37112f16b7', '085bbdccf18be34a', '6ebf575b0e21327c', '6bd933145a749fe6', 'ad18e9faeddc436a']; context = [[7, 74], [38, 112], [12, 90], [29, 105], [1, 65], [52, 101], [98, 142], [111, 173], [72, 147], [13, 54], [0, 53], [0, 41], [40, 107], [0, 42], [24, 88], [188, 258]]; loss = 0.028195 low_pass_filter = 0.300
+Epoch 0: | | 31139/? [4:55:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 31140; scene = ['3e6ad322429b2653', 'acca2e0a5d9ab19f', '8a5f209051718c6a', 'b23f88ded1485280', 'fe3c04bb10b12d55', 'f591700701a47d5f', 'db7acf41e2eae053', '6c6b3b3306463e7b', '9b725ca4c733554a', '45cafc07dfd1b496', 'cd7355ffcbc5a2f5', '90154d62e0ff4873', '1f4d538755177e00', '4b6a5e64589eac64', '3f16b9bc98aa0bef', '88160304638cc7b3']; context = [[0, 55], [5, 48], [78, 138], [5, 79], [55, 107], [77, 142], [9, 80], [0, 41], [183, 256], [12, 84], [32, 74], [34, 112], [12, 65], [75, 124], [47, 95], [3, 80]]; loss = 0.027435 low_pass_filter = 0.300
+Epoch 0: | | 31149/? [4:55:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 31150; scene = ['1126a0bb6917521f', '483642b8e30a8860', 'a7344e0356bfba18', 'd378db422fda516e', 'c31c5aec6ca52a0f', '2d41ec8c58a78215', 'ce638637eab9cbb2', 'a39de974d72b88b3', '6f4f54d89383e1ba', '70e09b2da21c935c', '2a28036d98f5a42d', 'ae9b392cb1d7be26', 'fe05283c708c2589', '82ec470a4ca4778e', '3c5eb41e4d944e23', '1f1a57dd8880fd7f']; context = [[58, 119], [3, 46], [36, 91], [13, 60], [2, 45], [11, 62], [35, 77], [39, 92], [79, 141], [4, 64], [6, 84], [21, 73], [138, 184], [22, 75], [7, 80], [118, 185]]; loss = 0.041795 low_pass_filter = 0.300
+Epoch 0: | | 31159/? [4:55:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 31160; scene = ['40ebc8fc8a219332', '67009e5dfc183120', 'dca066bd3cc2146c', '09822be1f5e3933c', '7788c075e21e862d', '5c88ff05f51279a4', '3fec42c6570a70d0', '437b5b7a2fe26b67', '0b95756523e57ef9', '1fef55c7753f1cce', '4f768e705a9c812b', 'ef788a2216895f19', '26e89c85acbd3466', '078b712f247875c4', 'f0f9dc20febf63c6', 'db3b613d2dda8b86']; context = [[16, 71], [0, 56], [28, 71], [131, 174], [7, 52], [25, 95], [200, 252], [3, 66], [7, 65], [102, 166], [2, 55], [92, 161], [4, 78], [16, 61], [124, 166], [1, 45]]; loss = 0.031784 low_pass_filter = 0.300
+Epoch 0: | | 31169/? [4:55:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 31170; scene = ['f3cacfe3ffeb7f0b', '65de107f6b39ec37', '0fbdb79a21cca427', 'bfe25c63d7a31e6b', '37f65c5095d23a9c', '2fa209588a926720', '0fadc51c617e61f6', '30993d0572bc5c54', '05caefb6550250b0', '069c4f8d7a3225b4', 'f6b4c51274377db3', 'a191c34eb75bbaec', 'f1a7d46e25785471', '69a6e3951e138ca8', 'bd834d7c62374c59', '63ea3195b2c0c4ba']; context = [[50, 97], [165, 221], [6, 49], [7, 49], [9, 64], [83, 151], [0, 44], [72, 119], [21, 96], [23, 90], [0, 63], [5, 77], [63, 111], [4, 78], [6, 71], [22, 82]]; loss = 0.046997 low_pass_filter = 0.300
+Epoch 0: | | 31179/? [4:55:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 31180; scene = ['404cc5a0fd0a2131', '8fc6704ed8465c3f', '68770b0db8ad1d3b', '80773003e0a7eac2', 'b7edd79abf6abf18', '4697c4de453f4c04', 'e60114b10c6a70e5', 'ee09ae34a0720fac', '5d38403bfc1e7822', '2e3b7c0955984c0b', 'dda981c3412b8d91', 'f026c8f1c91ab212', 'ddc82d6729858305', 'e1a1987653f0f30b', '5733a66e97c4493a', '9d11c0c1b866f4ce']; context = [[14, 59], [8, 52], [15, 86], [38, 87], [0, 48], [52, 116], [24, 65], [10, 66], [159, 224], [65, 125], [24, 78], [43, 121], [8, 84], [12, 57], [61, 108], [210, 276]]; loss = 0.026846 low_pass_filter = 0.300
+Epoch 0: | | 31189/? [4:55:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 31190; scene = ['e9bf2976170647a5', 'f1dfd9f275bfdb2b', '4d1600d81f68f156', 'bf171a0b8ca0c7a8', 'e919055f68a731c2', '0eb1437262133d78', '60d3394314e4efd9', 'fa2dd55d59f24505', '163e2dae752f2e08', '5a66511ac6a1087b', '10e61d26bbf88ffe', '5edf50794aa6642b', '44938f8bd7d83590', '7af404ed5bc4ae26', 'ea9df70fa4633f35', 'b0f2f68540611bb8']; context = [[4, 54], [8, 50], [0, 66], [4, 82], [9, 80], [27, 89], [139, 216], [3, 67], [20, 64], [59, 125], [46, 97], [116, 168], [2, 81], [2, 43], [39, 81], [49, 104]]; loss = 0.034666 low_pass_filter = 0.300
+Epoch 0: | | 31199/? [4:55:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 31200; scene = ['8fdcfbd54930698a', 'c34615708e279d5d', '66763e1f9feda3a1', '3223b6f6751310f8', '26fa353d54a3f093', 'eb4ff89ed0b56b2c', '76b8f8f5934a4cee', 'b86c63e9eeb2f0f3', '253d5e74a15c73e4', '3954a34db791a545', '20ad83735211af29', '16be374e6f6d5d3d', '1e51a9a349931860', '1c7e0d9da743e0ff', '2035595ebba23bac', 'a6b381f7e736bb58']; context = [[100, 153], [17, 64], [14, 81], [13, 61], [10, 78], [63, 136], [13, 76], [7, 61], [12, 81], [2, 58], [15, 76], [17, 68], [5, 51], [58, 114], [45, 92], [0, 41]]; loss = 0.026889 low_pass_filter = 0.300
+Epoch 0: | | 31209/? [4:55:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 31210; scene = ['232777ce6c9eabc0', '7d900c809e896e32', 'c0740961ddca5c98', 'f0b69a3d4d2e4db2', '7a471a0c4fed1464', '677e8ff48506dc49', 'e705e9ebe38e0f37', '81d9554ed347307c', 'fc82d5366229a1a4', '39dc11e7396fa5f4', 'efd3e783df28b0b3', '384c333906ffc6ff', 'e86b478775b149eb', 'c8c4ca4eca6a4493', 'cbb5cea13c2693fd', 'a83a1aae9c8a1597']; context = [[19, 71], [43, 116], [1, 69], [200, 258], [45, 100], [23, 96], [1, 74], [28, 71], [0, 43], [15, 71], [27, 105], [64, 120], [211, 260], [33, 87], [3, 66], [87, 156]]; loss = 0.045814 low_pass_filter = 0.300
+Epoch 0: | | 31219/? [4:55:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 31220; scene = ['e619cbfe99afbe2e', 'bbd54c91bf661bc5', 'ebe6cee0ef6cc3fc', 'b6999394b9885830', 'ce1a9465dc08ef4c', 'f000b259a36dc7c7', '7f9017c23d08afee', 'ed2fc49a0e63bafc', '37a5015930c5547e', '72d4a43408c7049b', 'eb2930c1a4b33a50', '5e7dee438d1fcba6', '1236365ec263ad76', '1adaf0a340d0e041', 'c44581acf8dd6c35', 'd8158d0ccceae891']; context = [[3, 52], [29, 75], [0, 44], [36, 85], [156, 214], [29, 79], [57, 135], [43, 92], [20, 70], [13, 59], [8, 62], [14, 89], [42, 111], [3, 51], [27, 102], [69, 114]]; loss = 0.028343 low_pass_filter = 0.300
+Epoch 0: | | 31229/? [4:55:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 31230; scene = ['cba1ed27ce6c425d', 'beffccdf99c76c4a', 'f53a4f8312a99744', 'b145a55f25369072', '74c7fe77cbd00506', '037a4d28429ecb0b', '7482427ddbfafddc', 'ddb77cfff0de0fc4', '66fbd45f9b7a5685', '9f9974c348a7706e', '46f7ce5962d1e536', 'fd99963ac0e17872', 'bbf64bb9d1b3221b', 'f424fb77759f625f', 'bed6b2d982f71178', '18a621d8ed17e827']; context = [[5, 69], [5, 76], [51, 103], [164, 224], [10, 51], [32, 100], [16, 67], [38, 100], [33, 96], [41, 109], [7, 55], [52, 105], [0, 76], [171, 244], [1, 74], [19, 63]]; loss = 0.030212 low_pass_filter = 0.300
+Epoch 0: | | 31239/? [4:55:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 31240; scene = ['b34572a642288eda', '5d69e11f2e2cc725', '20a3585f1eea662d', '0d84f49089c8d865', 'dcfdedb838bddcba', 'b89e7d0efbb85edc', '18569e146ef810c9', '7eee1debf12cbc94', '30a0d868659a463c', '956da09524afb029', '933b02e03030a30f', '5dc08507f6d4f536', 'e569151c181805ef', 'b38ed924082ccf02', '07cefa8832ff7083', '13ee7748984dc638']; context = [[15, 90], [27, 89], [118, 178], [23, 68], [13, 59], [0, 68], [69, 117], [27, 102], [7, 76], [0, 75], [2, 44], [36, 100], [4, 65], [83, 145], [55, 130], [10, 86]]; loss = 0.023362 low_pass_filter = 0.300
+Epoch 0: | | 31249/? [4:56:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 31250; scene = ['692b896991d89a54', '88d76ec515558fcd', 'bc4a8560ce74b475', '8099a24d802a278d', '5cd649d23647e9a8', 'b4869cc97b14612c', 'ef3af4ede59e3423', 'ce265bd6aca906a0', 'a851d4797973dd8b', 'f80c7ae3e8c135d0', '9585609b1fe86052', '212d150054874c3e', 'feb014e43dd4f086', 'f053d50764ded3de', '5830ae37f597a53a', '361100f6ae8c1ad5']; context = [[0, 52], [74, 145], [0, 66], [82, 133], [19, 92], [7, 82], [1, 59], [25, 75], [127, 193], [78, 119], [16, 64], [93, 169], [74, 137], [27, 82], [3, 77], [44, 102]]; loss = 0.029082 low_pass_filter = 0.300
+Epoch 0: | | 31259/? [4:56:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 31260; scene = ['0b8494a5c91c18a9', 'e69e5f4ed16dece5', 'a8cbaa3a2cf23f3b', '5435e53721106caa', 'f01e99ab810e4019', '52ebb1e5244c98f8', 'b8c66dab70ecc10c', '3f158594cbb7a77b', 'a40667b9b3b2beb3', '15ee0149c03dabf0', 'f2133cf68e6b7993', 'd7e7949633da853e', 'ed09c2c104691f41', 'd87ee6c5ee767299', '5220b6dddbd2b6c5', '471727b63053034c']; context = [[2, 71], [89, 158], [59, 100], [101, 156], [196, 247], [35, 102], [32, 101], [21, 98], [32, 101], [91, 139], [7, 53], [76, 150], [0, 47], [2, 55], [73, 151], [7, 65]]; loss = 0.027842 low_pass_filter = 0.300
+Epoch 0: | | 31269/? [4:56:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 31270; scene = ['a00677410f377f66', 'd433a78ed22786cb', '4592bd545ed2e2e7', '0c5c3bb436ed7ea8', 'f7ddde2e3318692a', '27c6ff34af974ee8', 'be3a68742dbe1610', '1446c12cceb0df17', '8ac3f80d10dab739', '490879c4d88d80fa', '7b0963592a2e1905', 'e238b11fd88b42a5', '569e8576f93086b1', 'e4ca62ed353bbdef', 'f941fd080e1a0d6b', '50a4e44df1778e88']; context = [[129, 176], [0, 68], [105, 173], [157, 202], [63, 128], [9, 57], [24, 93], [58, 128], [0, 74], [23, 86], [31, 79], [32, 89], [1, 55], [34, 107], [155, 202], [18, 96]]; loss = 0.029699 low_pass_filter = 0.300
+Epoch 0: | | 31279/? [4:56:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 31280; scene = ['f713339ac174aba0', '40a3d9a13d9ac652', '5633a361f38d251b', 'caa2c46d63a3171c', '07d4db2e0cafb1b9', '1257d34372ddf7a1', '15530e3a36759071', '9cd573a09adcac51', '8b43ca18bba45f5f', 'bb3c5b7e5d72177d', '9b2ce670e57e67ea', '34e200c84c493504', '0b994471e1f10aef', '92ac650cf8289b59', 'b7f7ecbc17b5b6bf', '9a420203814021d7']; context = [[7, 57], [19, 96], [7, 63], [62, 135], [16, 90], [26, 88], [190, 234], [204, 254], [19, 87], [7, 52], [29, 103], [23, 66], [11, 54], [23, 87], [6, 60], [3, 65]]; loss = 0.057871 low_pass_filter = 0.300
+Epoch 0: | | 31289/? [4:56:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 31290; scene = ['8f8fd92008130071', '2370a07a0d1e7930', '054deb949142152f', 'cdd61981792b29b8', '0723036aaffa8c75', '930f0a917b4cfb3d', '844febece1121b36', 'ff26955ac80e19c3', '06a2e5bec5c290ff', '3aa51ffb5daa1f14', '1b632edc8e057995', '3aebea0441273ddb', '80998e4a83ad49a1', 'd5272ec25feb6ba1', 'fa337fc40abfcd03', 'f407dfbf20e9cdd8']; context = [[0, 41], [10, 72], [3, 50], [8, 66], [96, 162], [0, 45], [10, 74], [24, 87], [178, 229], [0, 53], [122, 177], [7, 61], [20, 71], [114, 184], [116, 189], [116, 170]]; loss = 0.036043 low_pass_filter = 0.300
+Epoch 0: | | 31299/? [4:56:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 31300; scene = ['775a8836d4d568ac', '1a1c3ad0eb61a53b', '0d8ee00c443dfbcc', '4491a520e2ef3b25', '59ae4ac63c0a11df', 'e18a4b06e5cb8d8e', '30c73eeac2721d1e', '8c2797e7eb81c6ad', '2403255d91f4108a', '7e8c9830537de3fb', '32b8efd8ec5394cc', '34395b11b2913023', 'a31126062d4f7523', '740c1fccd9bf4e71', 'bba9c4e1979810b5', '2371de80f56e9707']; context = [[0, 43], [2, 53], [83, 153], [7, 61], [2, 61], [55, 108], [3, 45], [21, 86], [179, 232], [24, 79], [60, 119], [133, 191], [44, 91], [50, 125], [6, 49], [161, 206]]; loss = 0.029707 low_pass_filter = 0.300
+Epoch 0: | | 31309/? [4:56:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 31310; scene = ['ae26c895abed5695', '809ea9970b0c9ab3', '13b21c39447af9bd', 'd4fc8c1bb4207683', '016d1174aa2a9c93', 'ace9cac554725d2d', '2cd22b0b79056c47', 'cfdae9ffd278d230', '2e8464d78559e7df', '3a00bf0557f697bd', '478a681c422cede2', '71eaf6a42c20b54e', 'f42b9fd27850d7e1', '6e05907e3f19fd3c', '71c8a123e9cdd368', '69e01d9175c24145']; context = [[7, 59], [133, 189], [21, 86], [3, 80], [3, 80], [35, 113], [35, 97], [93, 149], [33, 89], [61, 124], [1, 60], [171, 230], [55, 120], [42, 99], [80, 139], [213, 258]]; loss = 0.029997 low_pass_filter = 0.300
+Epoch 0: | | 31319/? [4:56:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 31320; scene = ['9afa50a185693113', '8b54bb25bbb0a26e', '5413aa42cf24a615', '9a4fa2310315a6a3', 'a190652ee404d6cb', '739a34f9967644b1', 'fcbfc24d0e5e838a', '972d1682e9cd6bce', 'd594f6efb635e4b5', 'd11d6c1af1241641', 'f2358c2b5ee6dec7', '535c220727db7c2e', 'd17d6e951b1fb862', 'ef6c3bdc8d776fed', '99a0790d72e6c2af', 'a5b0a41151c1a7a0']; context = [[31, 106], [36, 109], [115, 166], [5, 77], [2, 63], [11, 61], [45, 93], [31, 73], [59, 105], [11, 61], [30, 82], [15, 86], [78, 131], [11, 60], [68, 109], [77, 119]]; loss = 0.020214 low_pass_filter = 0.300
+Epoch 0: | | 31329/? [4:56:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 31330; scene = ['d8d827acf9b89327', '1c7e4528865c2f27', '087818aee1647d16', 'c1cdd3dced2f381d', '86aae4818a6082d9', '870d17d7b9fd12ea', 'b68e31337deab68a', '1bf0556129bdae95', 'b8a0860f6fda8dc3', 'ff092f1b478b1968', '22784cd40adaa61f', 'f50776fbe854899c', '8906dd32981f624b', '02525e607954e087', '7c1c141c9bbf7766', 'a217c045cc6d83f4']; context = [[7, 59], [3, 47], [0, 61], [0, 44], [133, 191], [53, 103], [18, 84], [3, 56], [96, 174], [2, 74], [9, 87], [2, 79], [86, 153], [92, 150], [14, 59], [14, 65]]; loss = 0.030000 low_pass_filter = 0.300
+Epoch 0: | | 31339/? [4:56:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 31340; scene = ['b992a00ff88142ee', '29e96416e5219b28', 'e4b86bcc4becf58f', 'dea498ff8b8ab6f9', '17f47ff41a55a6e1', '6d5e73f24d60de17', '15b37a12fbda65da', '7767685c39a88cf9', '876b693d043b22e9', 'ccce87db395e4763', 'a18f380bc7a49015', '598f5f9c57bceafb', 'ec570f8328cd4104', '5de668949c40be0e', '78062689dc99739a', '5df0c00229d7e91d']; context = [[172, 251], [50, 115], [6, 54], [11, 62], [29, 93], [0, 74], [60, 113], [51, 121], [201, 274], [0, 79], [80, 158], [9, 55], [47, 119], [82, 161], [25, 95], [57, 136]]; loss = 0.025981 low_pass_filter = 0.300
+Epoch 0: | | 31349/? [4:57:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 31350; scene = ['75c89a32bc3a65d0', '57de58c91eb80238', '198c8bb58640bdd8', 'fedca665f193bbd5', '9b75e834893b5e07', 'bc01380450049abd', '7f1a2e333be7f697', 'db637f1288c50ca8', '43ac09553d98fb3d', 'aaec20a7befd0f04', '4977b009040e9ff4', '8077f3ee01fd9872', '7bef257f82af89c3', 'a1206ca66f182d10', '5ba3f48e64beb777', '3f7ce97ea5dc6230']; context = [[1, 72], [50, 92], [1, 69], [71, 137], [1, 43], [102, 172], [124, 175], [1, 68], [4, 78], [45, 123], [126, 197], [42, 106], [0, 47], [0, 41], [20, 64], [15, 77]]; loss = 0.026334 low_pass_filter = 0.300
+Epoch 0: | | 31359/? [4:57:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 31360; scene = ['2ce510cbb00a5b98', '46508aed27d2697a', '8d9630d79798d048', '1ebdc60a63a39cc2', 'f7eb7dd4073a1301', '2ffb2a302c2eb8bc', 'ce72dd0a8a955b6b', '35fe38c771b332bd', '002a58afaeaf24c9', 'bb2f78e9c66d752e', 'b4ce98b34258cf50', '9f5b27821287f77e', '01f0793599666c23', '190bc12de60a09d1', 'cc4a7a135b40e43d', '2b7009b7846c67e5']; context = [[38, 103], [2, 77], [2, 44], [2, 64], [5, 59], [11, 88], [27, 93], [46, 96], [22, 75], [26, 90], [0, 76], [11, 77], [41, 85], [90, 136], [189, 251], [6, 82]]; loss = 0.027341 low_pass_filter = 0.300
+Epoch 0: | | 31369/? [4:57:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 31370; scene = ['081accf980a4d097', 'b522bb9dc4bb2d45', 'f3f4ffa111e6185e', '4ca2857fe858b81f', '6d4b0a0b9d2edc40', 'a3dc53d7c2c5c450', '034e89ee1adfd2bf', 'afa2907dafdb4c8d', '4b2b30ddbaa7cb68', 'd2d57bc79a24b563', '5e39693ca59e8130', 'e82135c2c337329e', '5d3f4c9049fd06a9', 'bcdb79a5ef8910f8', '35b17517c1bcd92f', '771d27b0f5786d9c']; context = [[11, 52], [54, 112], [3, 52], [9, 58], [100, 170], [69, 129], [1, 74], [34, 99], [10, 67], [76, 127], [53, 104], [168, 247], [42, 118], [0, 50], [87, 156], [1, 45]]; loss = 0.038828 low_pass_filter = 0.300
+Epoch 0: | | 31379/? [4:57:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 31380; scene = ['06fa316230db3de7', 'bc2f2cd6051e2f78', '7d27d4744462ab97', 'aff6be365ac10e5b', 'ff8ee30336673235', 'de9452d754cf1a63', '8038a594dd50c839', '6be9fe4a43a26b4f', 'f113e3eb8512e251', '84727cf519681ecc', '8a20ea3b37f8de6c', '478386221245bac9', 'ba016f0508ec2745', 'fbeec1139406c2c0', '986d6bdd6646acbf', '73c59e5d16858a41']; context = [[141, 196], [28, 73], [25, 70], [4, 49], [9, 66], [76, 135], [44, 91], [146, 217], [163, 240], [34, 98], [99, 153], [22, 64], [24, 79], [37, 84], [8, 62], [4, 58]]; loss = 0.025479 low_pass_filter = 0.300
+Epoch 0: | | 31389/? [4:57:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 31390; scene = ['94a0f9c12cb65e4c', 'a6c70f7816a833ed', 'f5760f5bb83216c4', 'c251c10694e56198', '4666c8dbed232754', '8c847be312ef6f7c', '5fd6fcf6769c4788', '636d5873a32235fa', '628f5c8e6181b647', 'ffeaf3cac2d50a3f', '6627158f8afd52d8', '1374f00c4a74ce2f', '3432d0a060cc00b3', 'aa4061d3c78d2b0c', '78712cdd0ef84d3a', 'b45dc411c9268737']; context = [[55, 102], [33, 90], [2, 55], [0, 48], [27, 84], [33, 86], [163, 209], [112, 167], [29, 82], [12, 68], [22, 82], [35, 114], [8, 74], [93, 160], [7, 70], [134, 198]]; loss = 0.025468 low_pass_filter = 0.300
+Epoch 0: | | 31399/? [4:57:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 31400; scene = ['2b22adb0f3e6fe45', '322083b9a4670c0e', '30de28493bbbcd31', 'f5471975e1f7a3da', '2ea429d644e38f65', '03af818d3239f255', '72b7cfc5c04ba073', 'ade6ad49f2e818c5', '3d163eea20f886c3', 'feaf9bdc8197aeb9', '716ae06f1f482356', '82047a161180382a', 'd766eac515f8c9df', '125e043ed828047e', 'ecbe61f0d93b5578', 'ff9300735daca726']; context = [[76, 143], [5, 82], [141, 219], [33, 97], [3, 46], [28, 91], [9, 54], [6, 58], [20, 61], [2, 66], [102, 173], [1, 42], [0, 79], [8, 62], [8, 52], [9, 83]]; loss = 0.028847 low_pass_filter = 0.300
+Epoch 0: | | 31409/? [4:57:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 31410; scene = ['9e3180e551bd74dd', '29fc478263dccc7e', '79152a348ad56998', '09559047be258511', 'd5b845bbe77ba09a', '237cc7f439ad06d3', '9e78c345e73e4f02', 'd53bea12fd3fb6b0', '26701072b1591699', '2b03b18b7d2d3a98', 'adc9957afc8f74e9', '194bbd8919fa06af', 'fdd724537c1a4c3b', 'c0762ed9f04975c6', 'f2733e8cc2306488', '2e65e53594c6774f']; context = [[50, 103], [2, 48], [110, 170], [111, 170], [77, 127], [79, 122], [159, 203], [24, 93], [31, 79], [14, 73], [2, 56], [44, 120], [30, 77], [139, 214], [80, 135], [6, 81]]; loss = 0.037121 low_pass_filter = 0.300
+Epoch 0: | | 31419/? [4:57:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 31420; scene = ['4f014cce9cf0b823', '47e89e797f97cfce', '80ba2b3e340a0473', 'cb7b0766b8412221', '7eecdc047fa4f61b', '6c19062171a4f85d', '1ff6f068edd2bc64', '3c605be257dfdceb', '25672d21b37e4869', 'f6de7e9debd6fde7', 'd9bb7d1128d82e97', 'f82504631a3a90d2', 'a8709bf81573fb64', '3c9ff3115d03ad79', '51a2dbc47a4fb524', 'ac83e99b4a40080e']; context = [[114, 158], [24, 98], [20, 65], [79, 141], [110, 179], [48, 126], [18, 77], [0, 42], [10, 77], [24, 65], [20, 71], [18, 66], [26, 81], [5, 77], [5, 59], [36, 81]]; loss = 0.087044 low_pass_filter = 0.300
+Epoch 0: | | 31429/? [4:57:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 31430; scene = ['b9518d3dd1f060c7', '0e0b8f80c06aaf0a', '6452c61ddaaa86ae', '55f82df26da1032c', '410d94f29ddaa79c', '38490fbf4fd1f065', '760a4c39741f46d4', 'f3d553a61bb8c7de', 'fb1811494aacbccf', '4a407d652733e0d3', '4b771a59efd81edc', '355064d4b44f9edd', 'a030cd4e570342ae', '83957d8d384d982e', 'fe028bc21123c8f1', '108d91ce571ba456']; context = [[90, 149], [43, 104], [0, 52], [0, 67], [0, 55], [53, 94], [4, 65], [9, 67], [35, 85], [38, 112], [44, 105], [31, 85], [19, 78], [82, 135], [0, 57], [7, 57]]; loss = 0.027251 low_pass_filter = 0.300
+Epoch 0: | | 31439/? [4:57:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 31440; scene = ['31ac7622b76950eb', '09ff2a2096d5b5a6', '3c3d4988078e1c1c', '7cda46ca9a139411', '357c736f7e8c4766', 'b1c4e40d345d1cfb', '2a8b0662d3c1bc93', '4c3b7eaa021fca60', 'dadcbb559ebf4a0c', 'd7e63707dbe167dd', 'ae65e4dfa57ff828', 'c2d104fe2f1fbbb8', 'e1114da18e84076d', '23641024d1eef774', 'f3cfb5e705e117ee', '396129a0e4620ebb']; context = [[16, 66], [7, 77], [141, 216], [25, 76], [7, 69], [64, 127], [32, 103], [186, 252], [28, 69], [0, 53], [139, 194], [71, 123], [31, 79], [6, 83], [73, 138], [149, 218]]; loss = 0.026544 low_pass_filter = 0.300
+Epoch 0: | | 31449/? [4:57:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 31450; scene = ['61b0133bce4da4de', 'b3133723f3c4e495', '3fc61f3ae37ef22e', 'ac4bd0b601c3f8d9', '393b76a89a628d99', '56387afc52492719', '9a7edc2ac624a461', '356662e75e790fd2', 'df5e28115594b804', '406d10b8c85ca364', '9cb47a0e0c25d4dd', '6476fd96cf74fd99', '8994bd59d58edd41', '3cf9a02bba6a972e', '19d786d9c4cccee0', '70bbd64aade475a7']; context = [[19, 70], [14, 87], [19, 92], [38, 110], [4, 75], [24, 73], [1, 51], [104, 156], [10, 55], [21, 100], [3, 45], [5, 51], [19, 90], [39, 111], [128, 205], [20, 82]]; loss = 0.028245 low_pass_filter = 0.300
+Epoch 0: | | 31459/? [4:58:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 31460; scene = ['fd92fb298b944a09', 'cb9ae86a49f95f34', '7e1f1f018b3493cf', '21268abbbc575fc9', 'a328bb24ae1259b7', 'e7129afa3f20fb38', 'dad145ce35ad0e54', 'a5175255a7a24781', '48f502df70db50e1', '937835bf008447ae', 'fbcfae0d07f3840d', '9e739ec1a8c7aece', '6f349cede66a597e', 'd01dd4fb24911f98', 'd10ec88f20d573ed', '77052d5d9b052368']; context = [[3, 67], [26, 100], [12, 56], [5, 69], [9, 50], [97, 147], [43, 120], [1, 42], [111, 178], [3, 64], [162, 215], [4, 74], [5, 47], [150, 200], [11, 60], [19, 62]]; loss = 0.028292 low_pass_filter = 0.300
+Epoch 0: | | 31469/? [4:58:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 31470; scene = ['1008647325f7f5b5', '28bb7b161e83ed60', 'c62b839c1b99274d', '1c697e1b376ee31e', '1213665a8be72518', '4fce6c47c4c214d6', 'ddbfd5840e4c41f1', 'b1c40d25d2e64f8c', 'cd42f7bb57597072', '7a559e46a72d4269', '70385a1bbbaf8f01', '24584245043d537b', '956d10dc89814d77', 'c0161ab988831f7c', 'c54da950fcf3b932', 'ce83b2cb583c5746']; context = [[8, 57], [52, 98], [55, 96], [15, 80], [7, 66], [119, 160], [28, 80], [8, 79], [12, 76], [44, 97], [48, 95], [97, 156], [6, 62], [122, 166], [62, 138], [8, 51]]; loss = 0.023466 low_pass_filter = 0.300
+Epoch 0: | | 31479/? [4:58:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 31480; scene = ['630027801891d158', '5193a7aee466495c', '3b601d4d89307614', 'a6d4f5be85158b87', 'ffef52d59b658cc5', '540656c16216364d', '3d11abcfd05f507c', 'd3e19b0747269427', 'f0da9b9f8786b0c1', '8468c4228e3215ed', '571e0a97e57417b6', '13cdaa0c54689404', '45fb1347cd3a5eff', '84a596d39c5189bd', '80acbea9c3850c4c', '0d44b13bde35062e']; context = [[6, 67], [13, 75], [2, 58], [43, 100], [7, 57], [34, 112], [160, 234], [68, 145], [22, 82], [43, 84], [22, 67], [149, 203], [77, 135], [3, 59], [2, 46], [111, 168]]; loss = 0.025708 low_pass_filter = 0.300
+Epoch 0: | | 31489/? [4:58:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 31490; scene = ['785b34dd2c077fad', '0e1d3e59eb57c68a', 'd516ec3d191a3e16', 'adf73db30b5dc7ff', '8be3a9f4149545b6', '7b371be1f5174844', 'b215bd4e6fb3908e', 'bf78e74b9709529e', '1a314c79785c4dfb', 'f0dede73d7704d1f', '96511adf959795aa', '855462aca11242cc', '7c4216f5c1228f5d', '0e85f9c3973b1102', '235e9b080e8a3d70', '0cd8a0d1b2a0c591']; context = [[51, 99], [123, 174], [130, 188], [96, 164], [37, 91], [78, 151], [87, 159], [116, 175], [58, 118], [0, 44], [28, 91], [88, 158], [9, 65], [53, 110], [137, 215], [2, 49]]; loss = 0.125447 low_pass_filter = 0.300
+Epoch 0: | | 31499/? [4:58:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 31500; scene = ['a9926ccaa7b4cb7c', '97bea40bc9feeeb1', '5a3cdd499c219bf1', 'b04afb4bbc4f0035', '824ed72a4e760c7f', '3035206f3e39145f', 'e13a16b93dcaf8b7', '07327085a69696c3', 'ad7e2025beb77451', 'a5b077cb0a94be24', '432aa2838c24160b', '3169a93d40545f53', 'd0c197a8436159be', 'f6751290bd44926a', 'f45c0dfe6693c28f', '9ce18e551df6c324']; context = [[19, 65], [62, 120], [12, 87], [137, 211], [3, 55], [145, 195], [0, 77], [197, 254], [55, 96], [76, 138], [0, 74], [18, 68], [10, 60], [48, 95], [62, 132], [37, 115]]; loss = 0.033040 low_pass_filter = 0.300
+Epoch 0: | | 31509/? [4:58:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 31510; scene = ['ca9c396f0ba249a3', '10fc4e7b970ee82c', '3cfb2bb6addaab04', 'cb36a24975ac0d40', 'dd5b07d83d0693a4', '4d1e13e625a4ad8e', '4e8169b7f130e2c9', '69ad7ce4c6b901e5', '49289f4b2e7247de', 'bc32aea88019f07b', 'ba71441079a79752', 'f270219c01c51804', '93df669a8501c378', '3e44962dbf4e0a2f', '3f02d03307df0ca4', '3bf9f02b026d74bd']; context = [[17, 64], [9, 62], [15, 56], [2, 79], [85, 159], [84, 153], [109, 164], [18, 87], [19, 85], [6, 55], [55, 113], [149, 202], [23, 64], [74, 130], [44, 90], [22, 63]]; loss = 0.025502 low_pass_filter = 0.300
+Epoch 0: | | 31519/? [4:58:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 31520; scene = ['3850b605afef4fdb', '97aadc6224b10d88', '3c14d04df113da24', '4f5af60e4c54afa8', '341602ce1687140e', 'cbdad10abcc885e5', '57fe6fafb7acb801', 'd78557c55e24d7c3', 'c8eec59d2fd27bc7', '20f4bf16c091cdb0', '6fce0005228600cf', '7e71fa90b85ee375', '0cd5ffa2fd8650fd', 'a90a7135e5528a5f', 'e66faed3dc12da63', 'd1ff1c0259b8c632']; context = [[12, 56], [103, 170], [8, 51], [2, 47], [186, 254], [185, 247], [11, 52], [23, 71], [1, 42], [74, 149], [17, 89], [46, 116], [40, 116], [0, 76], [0, 65], [33, 84]]; loss = 0.028316 low_pass_filter = 0.300
+Epoch 0: | | 31529/? [4:58:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 31530; scene = ['b885abe6c17070fb', '1b019f00a194b9e0', 'fa8b00ab5e203c76', 'da2adf3f31dbd49a', '18f75d465e0be486', 'd77ceb15b0826817', 'c6b3daa353ee0b0c', '6b42a7cca53dab75', 'b8cef999f4e24084', 'b8708a0cadea2a91', '8965ab39a5e3bb30', '93db39179afa7a61', '496622bf4d081e09', 'b937cda3baf53a54', 'b27be52aa4b2b9ce', 'f3c9b744a3ec8d81']; context = [[166, 221], [108, 173], [19, 64], [68, 129], [61, 132], [0, 56], [4, 76], [0, 78], [0, 46], [4, 66], [84, 125], [117, 160], [16, 87], [57, 122], [126, 168], [166, 216]]; loss = 0.028754 low_pass_filter = 0.300
+Epoch 0: | | 31539/? [4:58:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 31540; scene = ['cc66dbb6ad5276a3', '6e6fc53d3837b3ab', '883b428276b20122', 'acb03b9827de0765', '4203a06d618eeb97', '399668567ff33ad7', '8df36fef4fb76bd7', '2dcd1e94db751fa0', '9cd53c2e1832a847', '1daf1d6fbe3ed591', 'de27ce11ddb95371', 'd11d011b67e8b53c', 'ff4bac4f32cac43a', 'bd2b4c8ad2c7ddbd', 'f183f6dac49c0c20', '5a4c02ec4a9915e9']; context = [[12, 61], [5, 67], [10, 60], [51, 130], [27, 82], [38, 84], [17, 70], [9, 69], [20, 80], [145, 204], [3, 73], [124, 180], [7, 52], [15, 65], [30, 90], [148, 221]]; loss = 0.030963 low_pass_filter = 0.300
+Epoch 0: | | 31549/? [4:58:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 31550; scene = ['0a6d4b1cf8a5128b', '294257960721b6f0', 'b11c5d0cd9af5712', '638614ed5f3f85f4', 'b1f38f69a943349b', '7860f8fb501c44e5', '313c38700fc2d235', '7b8d9e3dab13cdeb', '5b5997d5f0ce5d59', 'cbacf5f45d250501', 'eb1a898f646101ef', '244b5c3c3d557a2b', 'd35d3ab840625cc4', '02de2123b9edb672', 'b6cf4496bb5499ef', 'ce94464d4c88de51']; context = [[8, 51], [22, 69], [2, 43], [29, 71], [181, 249], [172, 228], [18, 85], [64, 133], [60, 120], [12, 74], [0, 41], [69, 131], [23, 73], [34, 103], [60, 134], [46, 94]]; loss = 0.027051 low_pass_filter = 0.300
+Epoch 0: | | 31559/? [4:58:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 31560; scene = ['94f7b5c957bc74fd', 'cbbe5299030ed27d', 'ecb259c1db50ec9b', '5b9f289a8e65563f', '34ecd93b461c01fe', '202890a812df9e8f', '9e40d72fc377071e', '40df765baa02ddbc', '64178fa9e691eb9d', '353ca9b87c6ea74c', '7c04cd39e6b4bd9d', '2beffba3b531b579', 'f26cb76f4f1482ca', 'e6bffe056df50f5a', '3352e138ccac13f2', 'af682b0ac0a6af53']; context = [[10, 60], [26, 76], [118, 181], [133, 205], [44, 109], [11, 55], [9, 60], [16, 73], [122, 197], [217, 277], [31, 75], [84, 129], [27, 93], [15, 57], [29, 93], [164, 213]]; loss = 0.024926 low_pass_filter = 0.300
+Epoch 0: | | 31569/? [4:59:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 31570; scene = ['3ae57227ccab25e8', '7c2d62eae6516d1e', '4ec86da6639d7cd7', 'b164d2a50ad6e406', '8d4bb7e26db63eb6', '2c19ecb25e0249a2', '77a76b5a1223d66d', '41a3354c28ab740a', '692abad1fd72e99b', '451910a92ec33436', '2c715a717e9bd2eb', 'c420be3f96474307', 'fb45e23f9bf03543', 'cb1c56ca451aeaed', '3f945924e153a987', '9aaf2fb99119da87']; context = [[91, 152], [143, 194], [125, 169], [22, 84], [1, 61], [42, 116], [4, 71], [25, 67], [3, 64], [0, 61], [12, 60], [2, 46], [119, 181], [0, 58], [76, 134], [175, 218]]; loss = 0.032674 low_pass_filter = 0.300
+Epoch 0: | | 31579/? [4:59:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 31580; scene = ['c2d56785690fef5c', '1ccc8946d683d79c', '9d4bb6a040f3e82f', 'c0de137715b6bcb4', 'bc29873beb100836', '33bf51a57dd21baf', '0b22601aacc68028', '1927ce59475cc725', '6c39921ab0917e6a', 'c6bb3b3d5da3637a', 'b0b94d5a0d1604e8', '1c407840852ca073', '1530900920c69548', 'aba0882649576542', '891fdf0987991e47', '9bf837c9b3c493e9']; context = [[171, 238], [46, 117], [101, 179], [183, 244], [72, 133], [18, 89], [19, 71], [45, 118], [4, 62], [1, 76], [3, 80], [73, 128], [11, 63], [1, 42], [61, 133], [88, 156]]; loss = 0.041811 low_pass_filter = 0.300
+Epoch 0: | | 31589/? [4:59:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 31590; scene = ['da1a07f38e11cbf7', 'a3ee73d525187763', '5047b5dc3a98e12f', '3830621fd20294c5', 'b391c3d9cf1425f3', '2c0f4dc479fd405f', 'aa61ed9a137626f4', '435baed48e74ac68', 'cc503e1bc31b898b', '207a22540803657c', '30d1c0b8c175d4ec', 'f6d350c0bbdd1a3c', '1517c447249b01a2', '143121a017053c1e', 'affd8529a83e2cf7', '10e47d52f346c322']; context = [[18, 74], [7, 59], [181, 250], [2, 75], [4, 71], [0, 41], [1, 66], [0, 59], [25, 101], [2, 56], [110, 161], [45, 86], [7, 80], [7, 53], [64, 119], [9, 70]]; loss = 0.029817 low_pass_filter = 0.300
+Epoch 0: | | 31599/? [4:59:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 31600; scene = ['a4e0f20145b56429', '7f68605e483cb231', '4e51832db28d7a2f', 'b9f12695db134381', 'fde72c5779d294aa', '08e8d767c22b2f76', '3f5a3f57adf8a7da', 'a69c46f6bf343d2c', '6679f59d495204c0', 'f5713d231e3431b6', '0d2f9959a65cc24a', '57803617ea5ab7a4', 'e133356c306f9509', 'dccbc798209018fd', 'ffc8fc73703a7801', '6abacaac7e196cfd']; context = [[5, 72], [14, 71], [0, 50], [12, 53], [55, 111], [25, 71], [18, 59], [134, 191], [62, 119], [89, 143], [5, 51], [4, 72], [11, 62], [41, 85], [53, 124], [1, 45]]; loss = 0.027245 low_pass_filter = 0.300
+Epoch 0: | | 31609/? [4:59:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 31610; scene = ['a4f7106b183e3aa4', 'c2e94ef07b24c422', '160fb18fd9ea1ea9', '86beccaea6276618', 'acfb427d90168b64', 'af9fb59645cb5450', 'f73df719b44d8e8c', '7b13896bf3ec456f', '7a65f22e4d3f4d00', '9e00040e823be79b', '6506f727e342a210', '74c756a6fadb42ca', 'db61a53a8df7d1e5', 'ca454d783ce478ff', '4e2925a18aea45bf', '081d24766be8a35b']; context = [[2, 44], [48, 106], [168, 232], [13, 61], [3, 77], [219, 264], [41, 85], [26, 98], [25, 67], [8, 77], [28, 89], [76, 136], [86, 145], [20, 81], [72, 126], [10, 56]]; loss = 0.028439 low_pass_filter = 0.300
+Epoch 0: | | 31619/? [4:59:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 31620; scene = ['3699c534d47f61d0', 'd2bf38090b14ee4d', 'e8b8ea4dde36dbd8', '95c7513344e24533', '328cdff8dc5c3ed3', '4bede15a09bd44bb', 'd5a0aa264159a278', 'ac2fc17a4de90b7b', 'adbc22a988340ea2', '53dc437d11e76ef6', '514db696ec759153', '5ad0327426e3718b', '38c67fcd3b8e4f8a', 'e9e3e7a7b80eb5a4', 'a1dff9c50d92dc9c', '0b4748c575a0b84e']; context = [[28, 90], [66, 107], [147, 193], [1, 60], [143, 216], [189, 252], [1, 79], [12, 90], [22, 71], [9, 56], [8, 64], [103, 154], [170, 235], [105, 175], [125, 168], [21, 64]]; loss = 0.027288 low_pass_filter = 0.300
+Epoch 0: | | 31629/? [4:59:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 31630; scene = ['a6cd9e57513d0f5b', '326e42e7776c50bf', '1549c6877baaa3a3', '881588d40d5d70dc', 'b81d8d1868189a77', '432438cda3cad918', 'b9e9d2a463c7f840', '23a769da90ee8db0', '919b825107501549', '7926c7ba6cf278cc', 'c0ab06325cbbce44', '471c50420c5d1da8', '29a03a5b3c855640', '1e1d817c3a82c777', '170456ba78e63309', 'c6bae18b8a3f0bde']; context = [[43, 88], [13, 66], [47, 123], [0, 42], [25, 71], [50, 110], [0, 70], [41, 113], [41, 91], [30, 74], [5, 71], [8, 66], [28, 86], [13, 73], [55, 97], [3, 78]]; loss = 0.032635 low_pass_filter = 0.300
+Epoch 0: | | 31639/? [4:59:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 31640; scene = ['6eec15ef21e914b5', '8e072e82a4158afe', 'fa9f019e1226ba08', '1e25fb7754f58040', 'dfe58e223f079215', '84d2d6712d389970', 'e4d53cef4b37c36e', 'd565a415518bd68a', 'cffcc01ffb4a27ce', '5aea64e123ab1589', 'b43eae80d9b59fae', 'd24bb3503cb81519', '7ecc2274c34188ad', '3b5fcd4d1a5496ae', '1afaf4b6621e0f5f', '283d19ff3706f2b9']; context = [[0, 79], [10, 55], [29, 84], [3, 72], [13, 60], [206, 273], [82, 130], [21, 79], [112, 189], [32, 91], [3, 51], [19, 66], [22, 72], [36, 110], [26, 77], [73, 148]]; loss = 0.024136 low_pass_filter = 0.300
+Epoch 0: | | 31649/? [4:59:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 31650; scene = ['bae66b8175d11647', 'a557bfdcbd9558f7', 'bbd22864c2c8c4e0', 'b2c3bbb92492ea30', 'f67ee51c76a6aa33', '8290c21ca69361ec', 'e8d5d9efb11ec268', '6bb71ae77f76b7ef', 'c6e7d2560cc98ddf', '941a34a5fe903815', '7d2242665e3a666f', '4d2637e39b66f24e', '250c4a4a83bfc356', '977e0053ae47e056', '5a66511ac6a1087b', '60d3394314e4efd9']; context = [[14, 80], [11, 71], [25, 95], [73, 136], [7, 83], [32, 107], [70, 144], [12, 55], [1, 46], [55, 133], [25, 81], [1, 42], [2, 58], [156, 223], [80, 130], [18, 85]]; loss = 0.026649 low_pass_filter = 0.300
+Epoch 0: | | 31659/? [4:59:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 31660; scene = ['14e6c77754229980', '617ed16bf4918b44', 'eb1b7a376716b76f', 'cbd3e812b48f4c79', 'a7cfe8e02f888415', 'c2bca9bf885439df', '75801304d597c30a', 'a3d73d272ace42bd', 'f3b9999cbc4462c8', '9508c41cba5ddbec', '3a84ef3d1add7002', '4009a342664a96e1', 'f7f0c6e26e4ba0f5', '85b956080085cac5', 'e7ae5d42e1d888df', '98735bf18e9d2a52']; context = [[152, 202], [8, 73], [11, 65], [119, 174], [30, 101], [22, 77], [19, 89], [24, 96], [8, 79], [100, 161], [156, 200], [208, 269], [10, 65], [11, 86], [7, 51], [46, 98]]; loss = 0.025912 low_pass_filter = 0.300
+Epoch 0: | | 31669/? [5:00:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 31670; scene = ['9f0eb311381bcfe8', '80577c02d0925e08', '651a9f768e528c0c', '9a991195479a98af', '65b520324a4e90c2', 'c4f5ccc31886431b', '1ae63bc3a928aa33', '683e17e57364aa37', 'c0dd8bc7bbbe97f5', 'c2cd9373d46a332e', '78717028e4e0662d', 'cf4c9705d27edd6d', 'a0cb4f222193d63c', '116eb49fa24202a3', 'f2e95b4df65eabc7', 'b0098207764e606a']; context = [[23, 91], [17, 69], [3, 58], [33, 91], [52, 115], [61, 122], [91, 145], [29, 107], [1, 47], [123, 173], [69, 140], [8, 83], [0, 53], [19, 76], [6, 75], [65, 121]]; loss = 0.028276 low_pass_filter = 0.300
+Epoch 0: | | 31679/? [5:00:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 31680; scene = ['78a40a9f15582918', '45ef1511dc1ec7ed', '2c03b92a03910924', '0a7e70d3efcffdf4', 'b9294eed52bf506f', 'd7decc9863ca94ef', 'a6f16d68f9e126c9', '7c300b2872eeabdd', 'de6b214b12ce2f5d', '6c95490e2bd6aa2a', '3f209aa0b5e74285', '7cd0fffd56e1bb4e', '18bc67e83f83fd74', '901e47c506f0d2c1', '94ddacdba86c4757', '4923656d2871e39c']; context = [[18, 75], [1, 54], [45, 94], [41, 117], [17, 77], [1, 78], [0, 55], [81, 157], [11, 62], [178, 247], [9, 86], [4, 75], [62, 125], [35, 85], [63, 137], [189, 261]]; loss = 0.021796 low_pass_filter = 0.300
+Epoch 0: | | 31689/? [5:00:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 31690; scene = ['2cd12500e4a796bf', '41fffc6d9d335b3e', 'd0333dc4a7fe1439', '3e8a7a45047fc892', '7668427812272ec8', '709476c26a219c69', '75c251fea8145421', 'c10d7356f8a3a3ab', '72da2d7f756b1fd0', '9332241d744fcc89', '669108f020ce9326', '69a74d6dff7e4ecb', '956b787fa6250691', '06678f70a4f95b2d', '1c782a6280f77698', '5bda0a0bdeb8fa19']; context = [[63, 141], [33, 75], [64, 112], [33, 75], [31, 89], [0, 62], [149, 191], [20, 83], [15, 64], [82, 154], [118, 192], [156, 224], [14, 58], [17, 82], [11, 60], [38, 100]]; loss = 0.022267 low_pass_filter = 0.300
+Epoch 0: | | 31699/? [5:00:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 31700; scene = ['43cf6f225ba670fd', 'ba3f2372b7959e95', 'ebd5e80138e74301', 'a3a29f751ab5536c', 'c063a92c7a44b6a0', 'd7771ae79c3f26a6', 'f8448a1d0e098580', 'd862527a043561c9', 'bc5f4b5e37f71aec', '861fd42e408817bc', 'd1910994e205375f', 'f7b38b4801c35c54', 'b64f6fc16d34be37', 'a1a0bcce8001f776', 'a6c74ca21a415525', 'fbe2265ed5669a2a']; context = [[62, 105], [10, 61], [38, 92], [195, 264], [51, 125], [3, 51], [153, 209], [26, 94], [2, 59], [35, 78], [42, 121], [57, 119], [41, 99], [138, 188], [11, 67], [9, 86]]; loss = 0.030221 low_pass_filter = 0.300
+Epoch 0: | | 31709/? [5:00:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 31710; scene = ['3e648c40cea30c08', 'b1a16d59285b517b', '40801df8576367af', 'a5de552e69fbce79', '1fdf3f2fbffeacee', 'c79896b4ed843482', 'fc7ce4aebcd1d2b7', '703823150f4adadb', '5bf54b9911827a9d', '3565e580c537c111', '119e7ca7b87cbde3', 'ac4429b8b00bbd4e', '480e8122be62a73b', '74e586f3a110c76e', '797430d383cf7e24', 'ed91bd6d1b927b76']; context = [[49, 112], [194, 267], [6, 61], [39, 80], [6, 57], [53, 115], [66, 113], [45, 96], [6, 58], [18, 92], [6, 51], [52, 108], [11, 81], [14, 66], [78, 134], [18, 70]]; loss = 0.031423 low_pass_filter = 0.300
+Epoch 0: | | 31719/? [5:00:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 31720; scene = ['1e86433c39f63398', '5ef1bf2bf79effc6', '4748781f185e7376', 'ab0359882518850e', 'cff80a18cb02c366', '957adb04562c2656', '393cad5031f75f17', '6bb52911445f6e72', '25abb33f977bf810', 'bbc96e7eeccafa65', '8e4631a328f2870b', '14c89d90e8cd6c5a', '9cc8edf8ad90d501', '926c375e9e97645f', '1c4574a370bbaa00', 'b28ac5a98c93f8d7']; context = [[93, 139], [0, 63], [30, 82], [5, 49], [16, 75], [13, 82], [136, 199], [2, 43], [16, 80], [142, 186], [4, 72], [10, 72], [96, 138], [33, 99], [0, 45], [4, 78]]; loss = 0.024282 low_pass_filter = 0.300
+Epoch 0: | | 31729/? [5:00:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 31730; scene = ['34c94cc634b3c15c', '86c8ad41a64926cd', 'd1f9017dee739f4b', '33f4f60f6f1eb558', 'f141d7216dcdfc5a', 'ea31b004087c3db9', '82ef35b5e9ab648c', '7471f20705d68d02', '064e73637f341df3', '6fe9eaa94a71cd5b', '72b3f30e37e99c2a', '1dd4f9ffa1934d60', '7227011225fab25c', '7983d363f745886c', 'a2d0707c3ba1a687', '1a0b5dfe51376c01']; context = [[135, 184], [5, 52], [88, 159], [189, 249], [7, 74], [26, 92], [9, 82], [39, 95], [23, 74], [64, 116], [14, 64], [54, 115], [68, 136], [10, 54], [9, 51], [7, 52]]; loss = 0.025566 low_pass_filter = 0.300
+Epoch 0: | | 31739/? [5:00:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 31740; scene = ['14444d4edf99e35c', '39c37c7704959e01', '5c2211c580a15c8e', '9482b23b70b9b147', 'b84872a112abb026', '9e51170a8e584e09', '2a866103ec3d8348', '1f0cf1a9439210f9', 'c8da67d9fdccb60c', 'f3b614caf5078792', '253e8f820f98d690', '418164772a373949', '82fb9650578cf923', 'c1771c630bca02a9', '4f6bf6243912aa92', 'b8411d41299a345d']; context = [[68, 130], [41, 107], [13, 79], [0, 54], [3, 47], [98, 177], [0, 41], [16, 67], [35, 98], [10, 59], [20, 95], [15, 62], [10, 53], [77, 124], [142, 218], [90, 143]]; loss = 0.024083 low_pass_filter = 0.300
+Epoch 0: | | 31749/? [5:00:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 31750; scene = ['b04d1d608f54d91a', '4d0a07abd5489371', 'c5f2e6776dac629f', '9a3449c857ad8d2e', 'b101b30ff1f24357', '062fc5a9d29cd651', '9b1273c8f696f5c4', '70cccb9c7d04585e', '8dc02ad9f06c82b6', '998b9c32167e24af', '9e361d7c969f1f0b', '01d0d2b4aa40236b', '01b1548c7d661213', 'a2221580995f8722', 'f8bc5a1bf0e97746', '8f8259fa3b72216e']; context = [[1, 58], [8, 65], [19, 86], [24, 71], [18, 74], [0, 54], [71, 131], [66, 121], [1, 60], [97, 143], [53, 95], [30, 83], [10, 72], [26, 74], [174, 248], [95, 161]]; loss = 0.023482 low_pass_filter = 0.300
+Epoch 0: | | 31759/? [5:00:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 31760; scene = ['6e246ece8fdd2a1c', 'aba8500bf55e59fa', 'bbeb5d738b8da0c1', '7c376693c09e694e', 'b851fee0bc2a9561', '5ae7974a40e54506', '9919a90cca908f5a', '3ffb94731fd84995', '2dc825f560e48ede', 'bf0f4614e32aa403', '96cb00ed5d745db8', 'a7bc22395ad69b99', '979e6ee2c54274c8', 'ec322c236e7a4492', 'dfe008802b69008a', 'd2a261ff1f2f061c']; context = [[97, 172], [18, 87], [59, 100], [17, 69], [34, 100], [33, 76], [15, 89], [81, 156], [42, 99], [44, 87], [0, 74], [115, 161], [62, 125], [71, 134], [7, 70], [13, 72]]; loss = 0.028176 low_pass_filter = 0.300
+Epoch 0: | | 31769/? [5:00:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 31770; scene = ['23d89b926a4e9ada', '3f62f46c54c21cf2', '53a8bb87641bd35b', 'fc4e64a966b2af97', '42a3daae34acb6d0', '33d44d22ca5117fd', 'b077b634286dbbe9', '482b604002f1a227', '7d2a669a71faa6f4', 'bb05ad97aa1e3538', '656330f47c5df010', 'baff5ab68a0a7f9c', '9c406908bd57bd94', 'c7d35bb824ce8724', 'bf9ab877153afc0e', '296c34862a1e7e5b']; context = [[37, 88], [15, 74], [118, 195], [23, 64], [76, 135], [8, 50], [5, 66], [128, 176], [9, 56], [0, 41], [42, 97], [26, 103], [2, 72], [3, 61], [81, 124], [74, 117]]; loss = 0.023120 low_pass_filter = 0.300
+Epoch 0: | | 31779/? [5:01:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 31780; scene = ['acffd6c013609d84', '9755ef79f64c2805', '2a2334b39a65d2aa', 'bf202c2307040974', '1a98c811762bdead', 'd52718de7fb3476f', '42709fcc9d2a02d0', 'c366e23315cda80c', 'd744ef80876e6edb', 'd8e31e4bb9ddd286', 'bb3476e0d08d2eef', '273f4a7d0ccbd7c7', '3f60ade13a5fea59', '1eab9fc44438af28', '236e43e580eb82bc', '9fac534d10fd342c']; context = [[16, 92], [88, 139], [3, 70], [183, 224], [5, 52], [104, 148], [45, 115], [8, 61], [0, 57], [95, 159], [24, 67], [42, 98], [30, 74], [85, 145], [32, 78], [58, 130]]; loss = 0.028646 low_pass_filter = 0.300
+Epoch 0: | | 31789/? [5:01:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 31790; scene = ['06866305c62c0d18', '694c1768e5e9f5d8', 'e703ec24bd1415a7', '2a556acdb9f72bf2', 'c26b11aa4b27231b', '532f708f8fb288bd', '4f2c5e6290da2d50', '72b336ec8447b58f', '1f61a254477e0f4c', 'df709a9df3c44a6f', '9c016698821f4400', '14cb1caa8f185f3c', '431adcc96d3e7f9b', 'd7b8aa8b102928ff', '998668fcaa156c0d', '749c8153a4063123']; context = [[32, 90], [12, 55], [21, 78], [8, 81], [92, 141], [81, 153], [72, 118], [0, 54], [2, 76], [21, 62], [68, 132], [10, 57], [1, 60], [42, 95], [1, 74], [23, 79]]; loss = 0.026818 low_pass_filter = 0.300
+Epoch 0: | | 31799/? [5:01:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 31800; scene = ['a9ecea51771d9a00', '86afb61a789d70c8', 'bae7254a350b521c', '53bca77d4e3f85d7', '9bd27245632f7e5c', '99a90c9f04f840fc', '3254421780c522b1', '64b50539746fbb31', '23e956eb11c43626', '20af62cb11b5732b', '4da78e47fef24309', 'a688345950054137', '8a57f52da27eb5fb', '7ab4c9902de4a6f6', '3567756df2b457ac', 'd105006c740c2cfa']; context = [[14, 83], [19, 73], [12, 91], [107, 150], [17, 64], [59, 106], [21, 70], [1, 61], [1, 43], [148, 213], [47, 108], [14, 60], [1, 48], [44, 112], [9, 56], [4, 54]]; loss = 0.023617 low_pass_filter = 0.300
+Epoch 0: | | 31809/? [5:01:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 31810; scene = ['5fe68cbad1ba362a', '3ce9e01d528feece', '92fc9155096037b5', '3130a93a55e57311', '724165c950c7a80c', 'aa9826ffca85a2c7', '59962733bce39722', '1f1fb2d3701b0b66', 'af837aff6c95547d', '25470a9bceb93b10', 'e647e7c9eec77344', '1d31f9640be1e8cc', 'dcb48174c09c0239', 'cdfcbf746dc6b4c9', '2b0c90d09a7714a4', '754cd13d07884b11']; context = [[89, 138], [4, 47], [22, 85], [109, 187], [66, 118], [45, 87], [7, 69], [78, 138], [84, 164], [1, 65], [88, 144], [54, 106], [9, 82], [148, 197], [162, 228], [12, 64]]; loss = 0.126718 low_pass_filter = 0.300
+Epoch 0: | | 31819/? [5:01:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 31820; scene = ['a27495eefbaba454', 'a7c9f36bdfc44159', '52e7a82baea6b86b', 'ec166c975da009fa', '6d17b1aeb2612d9b', '0dde89e3415640c1', '3ba1586d95247579', '95da46cc74bd865f', '0e3dd3714c78c34b', '0a3c48bdaf8771da', '96e650d88643f131', '74276916559f4ca9', 'a57c3d7a98497d6d', '21b43052b04845cb', '1468285f818227c3', 'e2ef2c40eeda8f3d']; context = [[24, 69], [103, 153], [22, 65], [20, 92], [131, 182], [7, 71], [37, 101], [8, 81], [16, 61], [13, 78], [0, 42], [0, 76], [29, 97], [0, 60], [0, 63], [0, 78]]; loss = 0.028054 low_pass_filter = 0.300
+Epoch 0: | | 31829/? [5:01:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 31830; scene = ['7c7405a0b30acfe0', 'a6e10acc85cb42b6', '36373e191159d044', 'a1bb2ada3181ffff', 'f8ce5c33f6cf70ed', '23467cc831529738', 'b5641e5423f6e474', '265ab8c5130603c6', '2813da755d297391', '138c39b21212c53c', '7f2f43cf7a4adb40', 'fcf176d504f6568b', 'bcbcc0c6dad789f3', 'd0e3868f1ad7dc32', '560319076127d040', '300e96e5c068a90f']; context = [[205, 255], [0, 42], [8, 68], [4, 69], [9, 85], [134, 190], [2, 49], [53, 129], [9, 75], [71, 150], [14, 78], [19, 81], [4, 48], [190, 234], [24, 84], [38, 85]]; loss = 0.063039 low_pass_filter = 0.300
+Epoch 0: | | 31839/? [5:01:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 31840; scene = ['b1d287181c224576', '292a5b35c55aa177', '254fbbf772a841fe', '92cd6a7458388c37', '3f12bf81c27b8653', '359f7d0c8992f78b', 'eaa9b4aec449fb58', '5aa152c82cc18fc6', '39b91ce342618b5e', '5d6ec5d56fafe40f', '3a40129b68a67440', '7df74c7ca3dd7c47', 'e85713019ff14680', 'e31116726818d22d', '440566f756704547', '399e431c92be9702']; context = [[173, 251], [2, 75], [123, 176], [52, 107], [33, 100], [154, 201], [2, 73], [101, 145], [111, 191], [0, 43], [49, 113], [0, 68], [156, 220], [162, 221], [0, 42], [178, 228]]; loss = 0.026337 low_pass_filter = 0.300
+Epoch 0: | | 31849/? [5:01:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 31850; scene = ['8677be0fd77ef664', '04528668e1c60664', '62cbefbb22a48c55', 'a73800e25d3adc8b', '4d999bce04f7516a', 'e92d17d3398d0a25', 'd3895c7d9c03703f', '239055404f75ffd1', '6e269cfbf064b6a5', '8b2bfaf797d1e11c', '3aa0715bf6cf2124', '70eb4cad799be058', '41b6ede6065f2031', '4e2914a72cd9a8d6', '6454b8eab0cfbd98', '994520585af6cd0b']; context = [[18, 77], [5, 50], [9, 69], [52, 120], [23, 94], [100, 155], [118, 184], [207, 269], [52, 112], [50, 114], [4, 52], [67, 108], [85, 139], [36, 100], [20, 67], [95, 168]]; loss = 0.023360 low_pass_filter = 0.300
+Epoch 0: | | 31859/? [5:01:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 31860; scene = ['c047d0dbbfde98e4', 'f00cff8f4ae371a4', '50c9b910f6706ed5', 'cbbd98e0f99af188', '29ad7f2d5b0f798a', 'd12ba3a2ac78cfb6', '53b0a4720f4912bd', 'd36fc8d3f149522a', '9f655edf6923e6cf', '8c311d826f923a77', 'b49d675a0700b06a', '01669ff74c56d315', 'ab09f74ddd814153', 'bc7cd2216dc16470', '507dda4c1b722c23', '5f0d7d76e4b7fcc9']; context = [[113, 193], [8, 56], [23, 101], [110, 179], [0, 52], [0, 70], [198, 243], [11, 56], [45, 102], [95, 173], [13, 66], [8, 64], [67, 129], [17, 60], [5, 54], [17, 69]]; loss = 0.026767 low_pass_filter = 0.300
+Epoch 0: | | 31869/? [5:01:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 31870; scene = ['f923bd9d3baf0eb7', 'a97bc33dcad99933', '5558afee288fc86d', '2e1b1c7f5ebc6298', 'eaa29049e6fb86de', '9eb1cb80a1e94817', 'b1c71220312bd8d7', '68a85b63caa319b4', '3685bb1168fb8031', '5fec984bfa36becf', '20c639dc41a7bf7f', '3c0a13b7637af7fa', '7332947ada1572b7', 'e465c16e4ba9fcb8', '06f73e2d9a53a6eb', 'e3f69d6b8251e4a9']; context = [[50, 105], [10, 65], [8, 59], [0, 49], [1, 63], [5, 48], [3, 49], [3, 71], [75, 138], [44, 88], [114, 190], [5, 83], [15, 67], [44, 109], [99, 150], [14, 80]]; loss = 0.027080 low_pass_filter = 0.300
+Epoch 0: | | 31879/? [5:02:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 31880; scene = ['a95691c28a8c28a3', 'e19f2bdf424cfcde', '249adc3e479b28b9', '73dbf61978e22f0d', '8c338ffc0f63d256', '065253fc4e00d30c', '464b39207f6edea6', '0d64103186aa5b50', '224c2bca8bdc3231', 'e0820fda0d0074f3', '46968265954c2abc', '5e202297ef524354', '8ba4540e85be5b46', '415dc13fa0b631f6', 'd2a5cdbdc5060e5f', '2243fcc1f63bb6ac']; context = [[139, 185], [5, 47], [3, 71], [13, 91], [19, 63], [3, 44], [111, 189], [5, 62], [151, 218], [1, 47], [18, 59], [25, 82], [9, 66], [81, 151], [119, 199], [55, 130]]; loss = 0.023557 low_pass_filter = 0.300
+Epoch 0: | | 31889/? [5:02:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 31890; scene = ['4ef76ea7421ee560', '0f638868da0b9ba2', '08aa99b304f37fbd', 'cd22be4ca813f822', '1d6e90b9bf321118', '61cb88c7a8387ea1', '906fb344c7f0c4b4', '1e75265d74b6b717', '8006919da696dee6', '67301786df4b5513', '56e8b9541d2225d6', '7738cc583bce642d', '83c84d2d35b95f97', '34f84d9c73f9aba6', 'dfa6db6f3959e2ec', 'ad0b15a79f791403']; context = [[10, 72], [1, 78], [2, 74], [49, 126], [76, 148], [2, 53], [13, 54], [28, 97], [19, 83], [0, 75], [75, 140], [42, 96], [12, 80], [51, 96], [75, 136], [3, 45]]; loss = 0.032842 low_pass_filter = 0.300
+Epoch 0: | | 31899/? [5:02:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 31900; scene = ['a00305605d2ceeb3', '425a6346d7e791e9', '02f844373f2dcf3d', 'd98478061d8a24ef', '1c23077bfac5fdfa', '5355da26f7f618a1', '2be6cccb17d391dd', '765cf0000db9cc0b', '3ac9999cdd9d2c26', '73c530db1571a040', 'e17c8318e482fd68', '71f772e05b14d6ed', '3c19e57ac3f4ee30', '060de3e4675e2418', '3bfd6cf9e7f908ad', 'a59e145c063f1ed7']; context = [[58, 115], [83, 128], [0, 45], [1, 66], [0, 43], [82, 136], [29, 85], [26, 78], [49, 109], [94, 159], [16, 57], [117, 182], [5, 47], [26, 70], [19, 82], [132, 200]]; loss = 0.024696 low_pass_filter = 0.300
+Epoch 0: | | 31909/? [5:02:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 31910; scene = ['72af17dcf2eba0cf', 'df4e1717577f82c1', 'e80fccd03453b167', '2ec09eaa8e06fdc1', 'd503531bb5319abd', 'c7e9aa0570c51824', 'bad89e3e5f29f28b', 'd83c1aaa89852410', 'fbdcf089b0890ae6', '3fc4d99af68cedb3', 'cee4b55b538a7310', '0e62273ed3ef91ee', '178ca92e6939c0bc', 'd4db0477e6a51b9f', '3b57ac636da7426e', '5eaa519bafc221d1']; context = [[27, 77], [98, 144], [115, 176], [0, 51], [34, 85], [3, 79], [27, 83], [18, 71], [30, 104], [1, 50], [80, 140], [66, 137], [2, 47], [80, 128], [9, 78], [73, 146]]; loss = 0.026231 low_pass_filter = 0.300
+Epoch 0: | | 31919/? [5:02:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 31920; scene = ['1a2e563e6ba8087c', '35e11db0cf40a795', '946d83a6f9a836d1', '6ef01df67037acfd', '99eef5cf98ab7069', '0d887d19d7212540', '8cb2738ddb065600', '50c8a233bd82a613', 'd6d5baec04f87eeb', 'bc1b917beb473a62', '11321c28beefd319', '03e5fa9b6ed68049', '42ffa402b6042d38', '00b5cecbfd7f9a51', '78e0a874f9df94af', '7bd046d1c835a96a']; context = [[19, 80], [81, 161], [6, 67], [53, 118], [2, 52], [2, 65], [25, 91], [95, 137], [8, 68], [0, 42], [21, 64], [28, 81], [10, 77], [206, 261], [6, 73], [115, 183]]; loss = 0.028402 low_pass_filter = 0.300
+Epoch 0: | | 31929/? [5:02:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 31930; scene = ['5b64b5760c7503f3', 'd412ad2f6f4b6e07', 'dd086087400ad408', '58275614cf462346', 'cafb5c4d141984d0', 'e54719c9dbecbac1', '231b81fe05d87e31', '56a3cab917fb2f23', 'c7afa69038025a01', 'e100c11918671a33', '14db202c335af709', '4c9b35d3b2045ce0', 'bd65a22a1e0afab9', '33ccff66d42f5db9', 'f93c284c77d0738a', '16d3ec890df5ae96']; context = [[8, 65], [40, 93], [6, 80], [75, 132], [68, 139], [19, 89], [1, 71], [220, 275], [0, 68], [9, 53], [98, 176], [11, 90], [33, 90], [18, 68], [84, 145], [0, 71]]; loss = 0.032141 low_pass_filter = 0.300
+Epoch 0: | | 31939/? [5:02:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 31940; scene = ['d4db76a49ab21dd1', 'd28a4b53b6fe0a84', 'e20fa4c9c8fc8f42', '69cc85f49345c36d', '03f936b95d6ef500', '7d4efead6d44dd4c', '17406d413afbe1db', '674835273a35cbdf', 'e5c47b626f9a7fa4', '7e762d0c67252a36', '165eaaa2a7b5c11f', '086d231d005df1e1', '26cf73d2eb11939d', 'ddd2fd3db0b2197c', '6186b4ba6e4b8000', '4068f00bd881cddd']; context = [[105, 152], [8, 58], [137, 203], [16, 94], [101, 149], [6, 85], [31, 84], [61, 132], [4, 64], [42, 111], [14, 61], [1, 57], [5, 60], [31, 83], [137, 216], [48, 92]]; loss = 0.028051 low_pass_filter = 0.300
+Epoch 0: | | 31949/? [5:02:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 31950; scene = ['012ae7e6ae8eb7b1', '53adc3b61850eaf2', 'b7d77240852d6a52', '24539d9cb575945f', 'e5251115011169b1', '0ad311b66ea61e62', '99f3ea3ba624fb0a', 'c5c352e72df9640b', 'a7cdd9d5e6221d68', 'a3a5884addc0279a', '08f02e7ec7dd69da', '29caaff58a530496', 'ef37be4851962545', '5376cc836571e8d6', '37d8d38f0ac90651', '809658c303767e17']; context = [[0, 68], [94, 162], [9, 61], [28, 82], [2, 71], [0, 71], [15, 65], [40, 96], [11, 54], [3, 49], [23, 77], [1, 43], [80, 125], [131, 186], [7, 77], [29, 107]]; loss = 0.021855 low_pass_filter = 0.300
+Epoch 0: | | 31959/? [5:02:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 31960; scene = ['65cb094aa58e64f7', 'e91ea9998edd1a3e', 'ef41f7e5745d4f2d', 'aec37c0c07847354', '6454334af1aaabd9', '71d24f4e70b1596e', 'f76db35ccf517018', '849bb6781ce6dd59', 'db085f4da5bb3a11', '77d9893ba17a1330', '2b92e1411ef38e4d', '1d08d09515970972', 'abffceaf0098faa8', 'c3b82a52e6317dcc', '0ca219e558a9ced6', '98b99eb5c3bd9603']; context = [[4, 81], [70, 113], [11, 80], [44, 92], [87, 133], [154, 212], [40, 88], [7, 86], [26, 68], [7, 81], [1, 48], [0, 70], [1, 46], [26, 82], [37, 84], [7, 51]]; loss = 0.024442 low_pass_filter = 0.300
+Epoch 0: | | 31969/? [5:02:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 31970; scene = ['1f9140d0fa42c417', 'f437e5cb02d62602', '00066b3649cc07e5', '3eaf106eb5c0841b', 'cbada5419127d257', '3484cd375bed111c', '9b6c1767f7f1e398', '0d7e98c8cb6b0f5e', 'c60321ebc88ec957', 'a9ef4a24b4d444d9', '6614f415f227fb91', '1e34f5b87ccb156f', '470ab1ead567352a', 'f992071564cfa5d7', '9beec741422ba809', 'f2851940fc2d313a']; context = [[53, 120], [59, 138], [2, 58], [0, 45], [3, 82], [1, 58], [46, 104], [12, 76], [156, 233], [26, 82], [17, 68], [74, 133], [0, 50], [112, 180], [45, 109], [38, 114]]; loss = 0.026959 low_pass_filter = 0.300
+Epoch 0: | | 31979/? [5:02:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 31980; scene = ['7b00906aa2c10f8e', 'e72abbc2e978475b', 'b7bb7eedb709a1a8', 'ae846b6a792cadc1', 'c03584d560ed0694', '789e60a632f1c397', '6af3dac3387f0c7c', 'fd7e46c14085c76d', '2b85a6b46f2ea8de', '6a11871c9643bd79', '4b641eaaec862d77', '305999e29713a998', '0fca31f2dbbd79b5', 'fee2852411318e54', '8722a564706e204b', 'd98e4f128e4fcce0']; context = [[12, 87], [2, 70], [17, 82], [54, 127], [46, 104], [12, 61], [133, 203], [47, 108], [1, 44], [15, 62], [12, 85], [18, 77], [4, 68], [9, 52], [50, 100], [190, 248]]; loss = 0.024101 low_pass_filter = 0.300
+Epoch 0: | | 31989/? [5:03:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 31990; scene = ['8b671df4b3b155bd', 'a825a8d54cd14cd0', '43b4e4c3f5ae7c81', 'aed2967513620c7f', 'a6d8d6545b09da76', 'a47a167922cfc6df', 'd29b09b5f258f7ab', 'accd0979881dc01b', 'b70eb4b085094e81', '703f43df87b35d04', 'e7d3f00df2a73605', '9efb87ace2c44272', 'cfadaab5681b639b', '68f00fec2c235f18', '608b389e6d305bea', '1e86433c39f63398']; context = [[19, 62], [12, 84], [5, 67], [121, 186], [31, 105], [44, 98], [12, 58], [50, 104], [65, 132], [44, 116], [0, 61], [126, 176], [12, 75], [11, 70], [53, 101], [130, 172]]; loss = 0.028627 low_pass_filter = 0.300
+Epoch 0: | | 31999/? [5:03:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 32000; scene = ['69d22c7380fd239b', '69339ee6456a0143', '832763a65fb58811', '92ceaeb1a468d035', '03a346966d45a7f8', '367ee8b3b9283089', '3b8a0737368f9f1c', 'd684317edf11ae29', 'd2b88190a4874f43', '490000fdd9e46476', '596cd047a1dfd450', 'dad1cefd696020b9', '615cd9e7f782afcd', '35a1d6a63d799324', 'd882246c1d9a46cd', 'c01fe55eb64e8eff']; context = [[8, 77], [52, 109], [81, 128], [19, 93], [117, 186], [51, 120], [2, 52], [0, 45], [10, 65], [126, 198], [7, 81], [106, 167], [3, 58], [12, 81], [19, 69], [1, 68]]; loss = 0.026710 low_pass_filter = 0.300
+Epoch 0: | | 32000/? [5:03:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000validation step 32000; scene = ['795919ce5d3a68bb']; context = [[1, 69]]
+Epoch 0: | | 32009/? [5:03:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 32010; scene = ['80bdd8d93d4fb6be', '57ee1cea0284514f', '14467edbc6b3c25b', '2595d3a0144c9949', '8b9a04c6ae39cd63', '7056fe2a3c1ebe7d', 'b0c532bf94eeb726', '486673d483fe843a', '47240d3fcf37fc1b', '488358b53866b7aa', 'c18ea6a77949e219', '1236c1b15bc5f11f', '633e76d7ccbeb3ed', '5140967fcd51092e', 'eedd397acee4cb4f', 'e8674463d514e8a5']; context = [[13, 68], [21, 65], [125, 184], [0, 63], [36, 88], [59, 105], [81, 140], [16, 78], [25, 82], [1, 61], [49, 124], [56, 99], [47, 119], [189, 267], [57, 105], [47, 110]]; loss = 0.026971 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 32019/? [5:03:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 32020; scene = ['eba25d15f8c70f0f', '60fa6d93cc1bdfd8', '3ffb94731fd84995', '5ae7974a40e54506', 'dfe008802b69008a', 'bf0f4614e32aa403', '2dc825f560e48ede', 'ec322c236e7a4492', '9919a90cca908f5a', '96cb00ed5d745db8', 'a7bc22395ad69b99', '979e6ee2c54274c8', '28a2551c138c1f75', 'a40cfc3d2bfdfa40', '5ac5095c5ba03d10', 'c2a4f8a0206456ff']; context = [[5, 56], [2, 48], [44, 113], [7, 49], [13, 58], [143, 186], [160, 225], [107, 151], [5, 84], [9, 63], [67, 113], [28, 107], [167, 224], [39, 87], [4, 70], [14, 58]]; loss = 0.052149 low_pass_filter = 0.300
+Epoch 0: | | 32029/? [5:03:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32030; scene = ['6e3e003c08484cfb', '4267e41843e92621', '657bd399aa3cb0c5', 'b9f927ecdb655d3e', 'dda911b9301b1e5f', '3695468b2f5abca0', '333819a55992b14d', '413d6eaceb1a9941', '3eb88834d1d10dbd', '1b046ac48aff103f', 'f870cac9be2d72ea', '91e35e7d77764a38', 'd928ee1aa1bf62f3', '954085ee1bd41d21', '0ea02580498c6df8', 'c4dcd6a5b2da28b2']; context = [[41, 97], [18, 67], [119, 163], [83, 149], [83, 131], [38, 93], [3, 66], [37, 110], [25, 78], [10, 57], [201, 276], [28, 91], [114, 182], [215, 267], [17, 72], [99, 153]]; loss = 0.030090 low_pass_filter = 0.300
+Epoch 0: | | 32039/? [5:03:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 32040; scene = ['0ad2c2fd63c778e9', 'e68b41f0c16dc595', '8b657567165233f3', '314409cd008aa91c', '0f1c0b32d36804e5', '5714c004758116a1', '19205c6351b6cd4a', '8b1f279df13e9822', '6cccd894f3eb33c9', '01a8c5f00e17623c', '07f8f5682ad750c1', '4068a60c400421e7', '8f55e3be4fc8d508', 'ace25221c8b76123', '43073eb89fa57d37', 'a4c64169db7b2845']; context = [[127, 191], [14, 71], [73, 124], [6, 53], [3, 66], [23, 77], [133, 179], [73, 135], [10, 63], [59, 120], [0, 46], [27, 73], [34, 76], [58, 132], [16, 77], [32, 109]]; loss = 0.025960 low_pass_filter = 0.300
+Epoch 0: | | 32049/? [5:03:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 32050; scene = ['83222e191a9467b0', '92034bb11058e391', '00f785f232952963', '8a1248c358dd6faf', 'a31b01bf6a2685ff', '6ef9c4fad687cb3d', 'b4c5bf7dc0eb9b3d', 'c7b571bbd2dbf81c', 'd01a94b42a502c3d', '85b9d600d972e3ea', '4700b3794e04cb23', '1471bff70ae3f991', '304b457e50fb1b7f', 'f08afff6a1ca5fd4', '8214bac63893f32b', '2a69d7ace9e8fbbd']; context = [[137, 203], [140, 218], [9, 84], [26, 81], [0, 45], [10, 88], [32, 110], [0, 57], [47, 90], [12, 70], [0, 44], [0, 42], [85, 155], [17, 62], [8, 66], [160, 226]]; loss = 0.029401 low_pass_filter = 0.300
+Epoch 0: | | 32059/? [5:03:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 32060; scene = ['25896ac236016963', '827d4df83d6c97d9', 'dd4fa5f6bab88faa', 'b0e45d1fd8db5ba7', '3e4cc481bf540f72', '7766ed41dc09a8bc', '6347dab2e71b8e3d', 'e0106272b4009cfc', 'ae1c6669eff757fe', 'eb995245e27d4501', 'c818ac62ef056771', '1dc75a3b92202382', 'f1f2e1670095235f', '9542770bd8c00ff1', '8b348d32ebb45bb6', 'dee0cb028cfecd6c']; context = [[38, 84], [6, 77], [9, 88], [56, 104], [77, 130], [36, 83], [56, 125], [15, 82], [70, 122], [76, 150], [53, 105], [22, 94], [14, 94], [69, 142], [86, 145], [2, 73]]; loss = 0.028428 low_pass_filter = 0.300
+Epoch 0: | | 32069/? [5:03:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32070; scene = ['b0c532bf94eeb726', '57ee1cea0284514f', 'e8b095c74936881f', 'fad62161d3241155', '5bdc119d2f948bae', 'a4d88af8b90478e9', 'fe25b6af549cfdd4', 'b6d2ebbd72606169', '0cf4981f611c76f7', 'affbce8c2df4e5f2', '2ceb20bf1158484f', 'dec6ef25c721dfaf', 'd120e35c7f9232ce', '62b4841181d253e7', '599744efab33bc17', '084f8992d2c9e1da']; context = [[0, 71], [25, 79], [18, 75], [28, 71], [70, 125], [50, 111], [12, 59], [88, 148], [27, 78], [19, 95], [24, 102], [196, 246], [189, 264], [0, 62], [46, 99], [69, 139]]; loss = 0.026914 low_pass_filter = 0.300
+Epoch 0: | | 32079/? [5:03:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 32080; scene = ['4b2b30ddbaa7cb68', 'b168081841cefe4c', 'a072787f8ed2b284', '91d676b42db66474', 'f2515e134d1027cf', '2869815c7a8bdd9d', 'e78698cd2b50c654', '56ea9797a0304222', 'f009e031239b3788', '09df5bddb6feed59', 'a4692fe78214292d', 'f722d2ef78cc3c1d', '1255b860546789fa', 'a80cb16e79664c79', '6434fa7bf139fd26', '4ebdff8b4c93a49a']; context = [[14, 68], [145, 191], [56, 122], [33, 86], [9, 58], [10, 56], [121, 189], [95, 168], [104, 163], [102, 181], [11, 60], [10, 72], [41, 111], [196, 248], [9, 71], [15, 60]]; loss = 0.026973 low_pass_filter = 0.300
+Epoch 0: | | 32089/? [5:03:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 32090; scene = ['fbda7cc833f25a78', 'e99bc2b58b6f2ccd', '3df9d0d002a0a0c0', 'a52931a53e49657f', 'b076420679a04731', '0a004eb4d08f31dc', '99930c26f84df602', '331ac880de1fc38e', '20b47c73dfa8ad75', '7dfb75974e20d9f6', '9ca409a970f99e4e', 'f022925fbe756dfc', 'b4e9a9bf77f35701', '95f2be7bb8303f50', '4ca3eaa982403fcc', '2868d67281c7dad0']; context = [[31, 109], [3, 52], [57, 104], [58, 131], [43, 99], [0, 79], [15, 89], [11, 75], [9, 62], [63, 110], [45, 111], [5, 77], [4, 68], [4, 52], [29, 106], [9, 57]]; loss = 0.023358 low_pass_filter = 0.300
+Epoch 0: | | 32099/? [5:04:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 32100; scene = ['2a569041a6d85d9c', '965b54022afdb14f', '2a15c529dc6ff2c0', 'f528636e1daa4cf1', 'e0c616483f73f8bb', '4c60319eacf0b3d0', '0e7656a39389616d', '3b3eac398b0f59ba', 'cd4ded36b30a9d00', '92fc6b3fccfd274d', 'd2a8948d03eafd29', '48db07645ac23318', '572c532867aeacad', 'bee6c3396998772e', 'dd0efe0cbe055661', '92d8771ac0ef0938']; context = [[38, 104], [32, 96], [95, 162], [58, 102], [0, 44], [5, 53], [68, 111], [44, 93], [205, 265], [3, 59], [72, 115], [80, 149], [44, 112], [32, 92], [173, 216], [35, 87]]; loss = 0.022701 low_pass_filter = 0.300
+Epoch 0: | | 32109/? [5:04:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 32110; scene = ['1f8678091e653a51', '1e088f1e02f4fc27', '0df3aa54019f7377', 'c56a58f09e4b6e88', '6ae24966d1f85a21', 'f821abf27153e65e', '82ede6655dea491c', '32d2ac72c9edfbf3', '278a52723c725e85', '2805a4d6ca7fd6d6', 'b98dd6d8995428d5', '25b1bf23672016bb', '946de83b94c51090', '5b081cc86f2d4bd7', 'd1588c9485185a4c', '17643c3faac85272']; context = [[33, 107], [31, 111], [40, 86], [11, 85], [13, 83], [1, 48], [27, 73], [0, 68], [3, 78], [51, 123], [1, 76], [2, 74], [172, 223], [0, 67], [57, 119], [1, 54]]; loss = 0.034930 low_pass_filter = 0.300
+Epoch 0: | | 32119/? [5:04:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 32120; scene = ['cadae2515c0083e4', '65a6c20a8ea9f4c9', 'a050bb08dbd32be3', '6e1dab31049b93eb', '7e943005dfaafdc4', '75b739724bcf0f74', 'eb40aaecc4b724ab', 'ccaac6fcccd9da08', 'c0af5ed42bc049ee', '25ec2f2b3a0d6128', 'a24967a730ebc2fc', '19f106c5f56ad5e5', '6223b736736550fb', '7c6e11f01c36ad07', '41bbcb5954a17c24', '7630cb2752ecf0a1']; context = [[12, 70], [40, 97], [84, 139], [3, 62], [9, 88], [0, 42], [92, 157], [130, 173], [70, 124], [0, 49], [0, 42], [4, 71], [12, 80], [13, 83], [119, 163], [89, 143]]; loss = 0.030373 low_pass_filter = 0.300
+Epoch 0: | | 32129/? [5:04:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32130; scene = ['c43f2afac41be9f0', 'f6cf7564dcf914a6', 'dd3e295d87254211', '5d04fab0c0b812c2', '07d4ca1dbb7321fa', '4812a70132f58027', 'ba5622b5bba6548e', '2a0224f9004eb606', 'ed03a5c85c48f284', 'c09f0974b1886497', '32ee1cb2b3b67020', '679f702bf4343e29', '8fe5585de32fdc87', '4261b27934b455d6', 'e338ac884c0b91fc', 'de279dc70da4eefb']; context = [[28, 99], [123, 202], [144, 222], [11, 69], [0, 43], [70, 126], [42, 86], [37, 93], [17, 62], [113, 162], [21, 77], [6, 48], [36, 112], [31, 103], [3, 65], [25, 67]]; loss = 0.087774 low_pass_filter = 0.300
+Epoch 0: | | 32139/? [5:04:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32140; scene = ['83c84d2d35b95f97', '56e8b9541d2225d6', 'dfa6db6f3959e2ec', '906fb344c7f0c4b4', 'ad0b15a79f791403', '7738cc583bce642d', '8006919da696dee6', '61cb88c7a8387ea1', '1e75265d74b6b717', '34f84d9c73f9aba6', '61e58c0e1e989379', '43f5a800c0b89a68', '6e227c266fdbe6be', 'e1d4b9c7b39aa748', '5d69e869219fef05', '0e2268381b97888e']; context = [[65, 110], [19, 67], [88, 158], [11, 55], [17, 65], [73, 119], [4, 52], [0, 51], [33, 106], [35, 97], [186, 230], [8, 72], [56, 106], [182, 234], [21, 93], [91, 152]]; loss = 0.028353 low_pass_filter = 0.300
+Epoch 0: | | 32149/? [5:04:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 32150; scene = ['bd2cdd0dd1240f74', '9346423fdfeb4f9c', '283963dccb852f84', 'b95185f28371e386', 'ffac01816b4f0f08', '2d9d2b3d1a7fb3ed', '2133828ac8c5d46b', '00e0fd7343aab586', '1f268c1c41e9163b', 'c579294a2271154e', '9e1fe1ef4c790152', '07c292c4e24e752f', '7cfac1c5c75d8cb2', '9364344ee7f3c7e0', 'cdad2b86094189ce', 'f31541473a1526ee']; context = [[73, 140], [7, 69], [6, 68], [1, 68], [22, 98], [9, 54], [58, 116], [39, 96], [5, 47], [6, 83], [1, 62], [102, 176], [2, 77], [5, 76], [12, 67], [43, 110]]; loss = 0.027244 low_pass_filter = 0.300
+Epoch 0: | | 32159/? [5:04:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 32160; scene = ['912a0d7b5b080610', '9aacdb837e01170f', 'd4bd2dcc63c5ea54', 'c2d169718514f0a8', 'ed35350baa1d1fb2', '3c9ad99cce6558da', 'f44a0546760ccdb6', '7637453da2bff547', 'c2b2d238f9214068', '1250e0831ff05593', '83496ae8367a6c96', 'e3e252f0494ff061', '0362bc618a029222', '7f8cd1f3c9acb8f8', '0d1c5e5e77dfc06b', '623e9b4a6f37f93c']; context = [[76, 120], [83, 155], [2, 48], [75, 132], [6, 53], [11, 74], [3, 62], [58, 131], [4, 75], [4, 52], [25, 93], [46, 96], [8, 78], [15, 68], [148, 205], [29, 106]]; loss = 0.033324 low_pass_filter = 0.300
+Epoch 0: | | 32169/? [5:04:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 32170; scene = ['7406df8fa4c7b104', '086b3277600bd40a', '3a18102d487fa1c4', '1f94163ee183ece1', '5eb97458751d8e78', '6d9e7ac4f5113cbc', 'f39e7fd0e8f5f7bb', '835c947a070ff657', '35e7870c4f60c02e', '640e53b0da14830d', '166d39209d7cc4c3', '4648b54a491a37e2', '9a198a789f8681ac', '97efceb3be1bd8df', 'ed96b438bf4f41bc', '71edec55f938858e']; context = [[14, 71], [47, 103], [108, 165], [1, 76], [0, 42], [6, 73], [43, 99], [79, 148], [14, 69], [5, 58], [204, 251], [144, 191], [9, 79], [53, 115], [12, 61], [96, 149]]; loss = 0.027070 low_pass_filter = 0.300
+Epoch 0: | | 32179/? [5:04:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 32180; scene = ['78b31552d8e87131', '5fe7c4f4a4702b92', '43e02f5bd7d7fa5c', 'cd9e17454c9fce39', '388b4a886ab03918', 'ead46a318c2acc92', 'cf6c752f6f5f28ac', '1091902caff03514', '35f49016dbf93793', 'bdc7ee8f76d41ecd', 'ea749a795c180317', '6a522c0ce8243b77', 'f3133558a4b75863', 'ef022a0071e11efd', '09f304bfe09e62d9', '2d0eb0ce335b6dcc']; context = [[60, 121], [24, 85], [7, 70], [16, 59], [48, 94], [102, 144], [73, 130], [145, 212], [20, 81], [83, 133], [91, 156], [196, 246], [6, 67], [1, 72], [106, 151], [42, 86]]; loss = 0.024788 low_pass_filter = 0.300
+Epoch 0: | | 32189/? [5:04:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 32190; scene = ['a07ad67e90a850d6', '7556b51a5801eea1', '775484920d4f3869', 'cc6b3af1b9d8cb09', '5abf9697e2bf74bb', '8f9d510430000174', '5f3b0fb70f67cc40', 'b59e83762394e574', 'b434dc6c5924ebfe', '9593a5df8199ebf8', '892832f1fa164c3b', 'e0c715cd001ac816', 'f3837e4187e78b72', '8ebe4490fa70704a', 'f5216b60b45423ee', 'e41d5e0099b0696f']; context = [[2, 62], [63, 115], [28, 70], [14, 87], [27, 89], [70, 123], [60, 129], [55, 125], [30, 104], [31, 108], [11, 64], [21, 81], [29, 99], [23, 96], [93, 135], [21, 78]]; loss = 0.030325 low_pass_filter = 0.300
+Epoch 0: | | 32199/? [5:05:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 32200; scene = ['3b8cbc82edc7da25', '784a09499e4f5d80', 'a3dee13fa0216d57', 'b0ee123a8cfc8e62', 'd1d992e581136ac6', '7fd40cef6afc5ad7', 'eee22c9d84b79d89', '3d7a200dab472990', '5c9b898102b16eae', 'af1aad7fedbf1fc7', '4c912bfd124f027a', '1da9a7ba6e9d922c', '54c3bd97518592ff', '914883e0a8db9b6e', 'f49161489bca0703', 'ce01feed3153c5e2']; context = [[5, 48], [0, 68], [96, 164], [66, 145], [6, 70], [5, 51], [27, 78], [54, 103], [138, 203], [75, 147], [16, 75], [0, 53], [31, 77], [57, 100], [16, 84], [19, 93]]; loss = 0.023998 low_pass_filter = 0.300
+Epoch 0: | | 32209/? [5:05:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 32210; scene = ['d52a9764036894ac', 'e62ddf130ef1c47d', '81f14aa47558e90e', '0f5392e04bb19f8c', 'da5de01cf7e41541', 'c2a0b337dfce828a', '0df8d4e3cd5241e6', 'df5695b1d749fefa', '813050433c8b20bd', '7102d9010349a215', 'b710c863c5c1e1cd', '360d9c49906f49c3', '42c11fe086c50ef3', '29b3050a9c0f3135', 'c9625b7ca47d8394', 'f2db375a31ceccec']; context = [[214, 264], [105, 181], [71, 144], [38, 107], [83, 134], [6, 71], [5, 50], [7, 70], [7, 61], [72, 123], [30, 101], [98, 144], [59, 109], [81, 125], [6, 69], [119, 196]]; loss = 0.032930 low_pass_filter = 0.300
+Epoch 0: | | 32219/? [5:05:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 32220; scene = ['e777eb96debc8a04', 'fc9eaf68cf867fff', 'bb3914c6e9a2cca3', '62df70fdddb451ba', '99577030a38ef264', '009ded7e45b6d15f', 'b79c18c793f776f3', 'bc658fe0b4f75140', '9eeb527fbe6dc6e0', 'f7ddde410c09af50', '5b195bc1030ac237', '4bcd7cbb7a1397de', '833036a1cf009daf', 'c3af30eccbfd3e19', 'b118e65ba0895ec6', '09854e27eba8832e']; context = [[7, 67], [2, 74], [2, 55], [11, 57], [32, 100], [69, 113], [16, 74], [15, 83], [40, 93], [9, 78], [32, 110], [26, 87], [3, 45], [19, 77], [87, 131], [4, 65]]; loss = 0.025623 low_pass_filter = 0.300
+Epoch 0: | | 32229/? [5:05:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 32230; scene = ['c001dd0eab98cdd4', '7b9fbda8a269e333', '955983545a8add83', 'eb03f68ba74e860b', '017ceac43c423ed1', '7d3fb0628f79dee9', '64ac5e883d17b31e', '442516502d2ea879', 'c2b4c2d376a4a2bb', '03aeb7cc51b34332', '47a5504a363ffd80', '3307278c57b32d21', '28067dda0ffd7a29', '518b5b152dbe9bed', '9a3cd88e7992e094', '3d48789267dda573']; context = [[21, 86], [118, 173], [28, 99], [15, 65], [31, 79], [37, 108], [26, 91], [74, 125], [15, 94], [143, 202], [28, 99], [6, 65], [48, 114], [48, 121], [19, 80], [32, 100]]; loss = 0.032835 low_pass_filter = 0.300
+Epoch 0: | | 32239/? [5:05:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 32240; scene = ['bfacba0a18500c13', '2dd2a1adc0c1d4cc', 'af37a973266b99fc', '96fbaabf762077c5', '00d80d0e284dac72', '841c8115deb71c25', 'a78020b5a2368473', 'f75e151b66f83348', 'a90cd28742cee5e0', '9f3bcd7cc09b869d', '6c3a059a4bb42347', '3af84daf652d5c9d', 'b220e8591b6048ba', 'c0b9d76884655dcd', '5f9e388efa364f74', '5e55f309753b5ce4']; context = [[2, 65], [105, 156], [14, 69], [0, 42], [7, 72], [21, 68], [2, 54], [25, 96], [4, 61], [42, 105], [9, 54], [30, 87], [42, 119], [121, 177], [12, 67], [16, 95]]; loss = 0.027535 low_pass_filter = 0.300
+Epoch 0: | | 32249/? [5:05:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 32250; scene = ['4e00dcdc5aceb7d0', '284acf34f18ddb91', 'b848a571e61f54b9', '68c57df4ae8cdde0', 'eab5a02951e9e825', '1f45f564dd4f8847', '4521b22b9c889195', 'd471e6382b35d0b6', '7b84a9e2e7d8aa2c', '7816d1ccf7f11523', '8d6927aa2b7c5640', '3418a78f3023129d', 'c6f898024324352c', 'cc71ef1d3925caa8', '1adf1217ee3b7ebc', '14b71f6d697413ae']; context = [[101, 150], [3, 63], [16, 60], [214, 267], [42, 96], [4, 75], [27, 83], [23, 69], [1, 47], [74, 150], [4, 55], [5, 57], [132, 203], [25, 91], [20, 96], [208, 276]]; loss = 0.027499 low_pass_filter = 0.300
+Epoch 0: | | 32259/? [5:05:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32260; scene = ['11db2e14d64c1b42', '51f80353f6008c4f', '72cdd65567fa4c64', '85f5116d79acb22a', '12048355d2052d78', 'ac9bbd8efad4b995', '5b7e5ce68733bcc4', '7eae59259910a160', 'd5b845bbe77ba09a', '237cc7f439ad06d3', '09559047be258511', '29fc478263dccc7e', '1985f9114dd54e64', '79152a348ad56998', '9e3180e551bd74dd', '723fb9aa3a7823b2']; context = [[115, 162], [121, 176], [0, 62], [7, 86], [13, 58], [25, 88], [146, 197], [190, 269], [4, 59], [19, 71], [65, 129], [11, 86], [1, 79], [72, 114], [193, 255], [26, 80]]; loss = 0.025191 low_pass_filter = 0.300
+Epoch 0: | | 32269/? [5:05:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32270; scene = ['61a80bb0d63ba70b', 'f71ec53991a215bd', 'f9be4a5ec874f825', 'c2a64bcee14b5faf', '7b36d632ebd71fed', '1f4695b2e5f03cfc', '2276bb8e325107c1', 'ecd91cb5b8acbad9', '30878b54736367da', 'c520e25d5bd303ec', '7ce59b93cd4d98ac', '69a31234f2d534f3', 'bfa9042d0f35d6df', '1e55d866b0335343', '37f5c9bd33e92d4d', '63d30096d9447949']; context = [[73, 123], [192, 256], [53, 113], [103, 164], [1, 46], [9, 53], [45, 101], [42, 107], [8, 79], [4, 80], [7, 76], [14, 85], [5, 56], [41, 113], [62, 140], [52, 111]]; loss = 0.026156 low_pass_filter = 0.300
+Epoch 0: | | 32279/? [5:05:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32280; scene = ['5a2623f2591a7022', '203fddb72183aa38', '9e1d293a1a5e15f2', '2f1a90635ce346bf', '883a40fe5150d149', '882350c0ebe1872a', '9ac8241a27b0ec6d', 'b8c497090fba93d4', '99a11af3dcb2bd13', 'e7fcb10ae826b13e', '12f629409a280733', '7d634ffc2785a9f4', '10542b29d3d73bfd', 'f81c46fec218b506', '8dbf79bf8fb56328', '90b0847d0ed940fb']; context = [[13, 64], [64, 129], [19, 84], [129, 174], [2, 78], [29, 85], [147, 203], [26, 82], [183, 236], [9, 69], [26, 70], [33, 80], [46, 119], [80, 143], [45, 87], [32, 82]]; loss = 0.026406 low_pass_filter = 0.300
+Epoch 0: | | 32289/? [5:05:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 32290; scene = ['e79947f7de6aaec1', '6633e46bac1e9dc7', '5cd4bb35d88b3270', '5f1df53ecde43f53', 'bcab3c0184450241', '123ec5b077350b0b', 'c87cba5fcd8b6849', '6e420f4dbcaa5141', '8beeeba1e78f0197', 'eb8ffb027521cd3f', 'ed06625ae33b2ef8', '6e6e7074669b3d2e', '41d835aa772eac7c', 'be3b7eeea39e3b03', '83506959f8fc71ec', '1b463ac70f061fdc']; context = [[12, 68], [60, 108], [3, 58], [8, 64], [47, 108], [6, 83], [30, 75], [11, 59], [4, 62], [14, 89], [33, 96], [127, 173], [14, 63], [63, 130], [2, 78], [26, 83]]; loss = 0.073527 low_pass_filter = 0.300
+Epoch 0: | | 32299/? [5:05:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32300; scene = ['e82737e53b7f6515', 'de504bd8de0b34d7', 'f02194b56e76b29f', '1ebe5e9f0f00bd77', '6016abdc3fcd547d', 'cdef81148d7e3223', '3a2b8f56c88c71d6', '23d449ed98df6459', 'b3c1b2ae6ceafc55', 'cefc36d11fdca344', 'd8a359d3413e64a9', '3cca2a2fcb0a67a9', '03df529a4693d5a8', 'b4ed77fd07f1b8e5', 'ff809745bb8f0576', 'c5ec7eb6c091d9d1']; context = [[35, 79], [17, 72], [43, 91], [68, 134], [9, 60], [34, 100], [8, 79], [9, 66], [11, 87], [28, 96], [137, 197], [24, 87], [76, 138], [17, 93], [5, 53], [31, 82]]; loss = 0.024377 low_pass_filter = 0.300
+Epoch 0: | | 32309/? [5:06:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 32310; scene = ['4ec6a005f3d133c6', 'f6bbe443c64d2d10', 'ee6e6ddb7d8979dd', '872c6a4da1b90652', 'c9b909de78f0cecf', '4ace5ceab3baa8b9', '7e0fa7fcd96b897b', '83d36bc79b6ddd5f', 'cfcb5dc84a930779', 'd8d76c5a94df95f6', '05e57498aeca6d81', 'a6f6a363e768c68b', 'e5545e30f772706a', 'dc015aae44af1ee3', '8d96d7e89d8e0026', '7d1a5c5ed1505601']; context = [[9, 68], [26, 79], [17, 88], [4, 53], [0, 69], [67, 135], [14, 62], [55, 99], [112, 174], [19, 85], [1, 75], [91, 160], [168, 240], [11, 56], [26, 80], [37, 89]]; loss = 0.031316 low_pass_filter = 0.300
+Epoch 0: | | 32319/? [5:06:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 32320; scene = ['10e7b2b1f440fc8b', '23eecb3bfb301179', 'a5ca9ae985c618c1', '37cd61314b1e47c9', '976d6143db761f55', 'c0a8930b06ab9a0c', '2447d6b6745ed6f6', '6998b51bcccaec89', 'da828b199e8c4a73', 'ba892f5e3631896f', 'f41915d4a145f023', '67748b0b9af1a23d', 'c4486fea610e2997', '3e728ab85f6d379a', 'ba8b46a03c44a6c8', 'dd6ba5f92f331866']; context = [[213, 263], [180, 257], [3, 76], [21, 85], [51, 116], [36, 87], [65, 112], [5, 59], [25, 89], [53, 124], [62, 140], [53, 120], [8, 51], [79, 159], [0, 70], [2, 81]]; loss = 0.064596 low_pass_filter = 0.300
+Epoch 0: | | 32329/? [5:06:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 32330; scene = ['bef65560c9569e26', '662c6e07e281ca3a', '92bc19473fe0069c', 'b1177848ab8158b4', 'c6b620d3a892405f', 'e59a64cfbd22e6ad', 'db55f6cff323e242', '1bc07b4570b5f3b7', '41ea63dff889dba6', 'a74868eb24abfcbf', 'e4d0ac09522a4366', '8595e050624067b9', 'ef0ba6c772a7582a', '4f3469437e46bd88', '1fa1d107663af676', 'e1552e01242047f0']; context = [[6, 49], [17, 77], [16, 83], [50, 130], [61, 135], [45, 109], [24, 73], [2, 45], [32, 78], [1, 45], [83, 156], [66, 108], [19, 68], [17, 81], [11, 70], [7, 56]]; loss = 0.026928 low_pass_filter = 0.300
+Epoch 0: | | 32339/? [5:06:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 32340; scene = ['065a1d221681a033', 'af5d0d9ca92db4fc', '3e5515c19ef7ef97', '2d0593bbf7b581af', 'f2e1a27051a404e6', 'c865bccf7f672e38', '7abfc06afa782800', 'e978e66867316a9c', '571499e260e393fe', '9543fcde99db112f', 'ea39ba8c0ab4573c', 'd0820968c10c3d0f', '7aa6654b0279e4fa', '7cd6ba2e6044e630', '0da284747a8e4755', '9dfb4143918aeff9']; context = [[128, 179], [35, 104], [82, 128], [0, 71], [59, 134], [118, 163], [5, 82], [0, 64], [15, 73], [9, 75], [14, 58], [12, 72], [16, 92], [15, 65], [203, 264], [59, 122]]; loss = 0.027584 low_pass_filter = 0.300
+Epoch 0: | | 32349/? [5:06:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 32350; scene = ['f86499380731b8d5', 'adf73db30b5dc7ff', 'de95779cdbeaa19a', '1f0353d32c568894', '3602926587799c64', 'fe85b3be4adb42aa', '776f9105ae37722c', '0e1d3e59eb57c68a', '252543ae4021a637', '9c595a0f46169c48', '785b34dd2c077fad', '8e4f26e204962462', '53700a49e8dbf513', 'd516ec3d191a3e16', '2028eac12a944ac1', '8cd8d0627dd7f3d7']; context = [[1, 45], [72, 120], [17, 80], [8, 75], [31, 82], [1, 57], [38, 95], [24, 103], [20, 96], [0, 77], [35, 80], [0, 59], [48, 119], [126, 187], [31, 90], [65, 140]]; loss = 0.026139 low_pass_filter = 0.300
+Epoch 0: | | 32359/? [5:06:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 32360; scene = ['b4af6a20d451c028', '2ec64b69d4de1d90', '5127aacb328dda4d', 'd57dcea54e702aad', 'b681b468da4fbb88', '53b2d5f02d25fb18', 'acd6a14a1f559c9d', 'a11710f5d1559c09', '2ebcdec1c308edbd', '65443da844dd7f20', '9ae102209c569657', '87708b0f59b39d38', '4aefc4abf5184050', '3e6e41007d3aa646', 'bc3aca2a1720fad2', '40a4e564947f3990']; context = [[166, 213], [8, 66], [9, 64], [113, 190], [6, 55], [101, 179], [32, 91], [29, 95], [1, 58], [37, 82], [20, 93], [28, 80], [9, 53], [2, 74], [3, 51], [19, 62]]; loss = 0.022693 low_pass_filter = 0.300
+Epoch 0: | | 32369/? [5:06:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 32370; scene = ['39bb3dcd73cc5cef', '6c5f5f8e45448ee9', '6591d9b1d5cbe20e', '09211f0cadc25024', 'fd5c8beb94f9eab4', 'a13c0e49a8eb99ca', '884d301a8603ad01', 'd7ca1248e911d391', 'b00f502f468fa5e1', 'bfa559b4958cc3f0', '2cd72af45b4093cb', 'e73c3c5ae18982a9', '04d49eaed769debf', 'efcc02500ae5f63a', 'b6f646046b2a6c12', '15c33c76f8a7238e']; context = [[36, 92], [101, 175], [8, 65], [85, 134], [195, 269], [31, 102], [214, 258], [17, 88], [8, 68], [5, 82], [30, 106], [1, 63], [21, 78], [37, 94], [3, 64], [30, 79]]; loss = 0.058831 low_pass_filter = 0.300
+Epoch 0: | | 32379/? [5:06:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 32380; scene = ['9d4dc226fb3612d3', 'fc6b484968a872c5', 'f2dfbbcbe2f3ccd5', 'b3e2ed69a99b2d7c', 'f9976cb2e4c6dfc8', 'b9086d2cecefe07d', '93aaaa30360ae75b', 'e154da90fb5e072e', '13cbdf0bfe2b9791', '810d97e97e862d02', 'f030216648778de8', 'b8af5b1dafdf212f', '8bc0f7f6b2dd43ad', '06779b91ed31eaf1', '859ab2c13678fbc4', '4f211f459a039d17']; context = [[25, 75], [66, 123], [0, 69], [11, 87], [20, 70], [3, 79], [14, 81], [143, 193], [38, 83], [27, 86], [8, 52], [7, 80], [13, 68], [21, 76], [137, 196], [32, 94]]; loss = 0.085277 low_pass_filter = 0.300
+Epoch 0: | | 32389/? [5:06:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 32390; scene = ['57dae64b3fb6298b', 'b399dfbf864d3076', 'e7f820327fa7287a', '7225310f01007948', '7a9e2a1db5d0c45b', 'e13d24cb77bd5842', '57b1333abbaea573', '45881f9f6f662df4', '348e39e72320bf9b', '2c7822582c375f00', '1626e670755b1d8c', '14b4d62a983a3e42', 'aecba92e05f84330', '2b00682d03aed4d2', '67c15e09c87965f1', 'cc00a1b790a55930']; context = [[13, 72], [49, 119], [6, 66], [138, 211], [46, 89], [33, 94], [5, 66], [78, 145], [2, 74], [8, 64], [10, 80], [20, 86], [135, 187], [27, 79], [0, 75], [83, 143]]; loss = 0.026833 low_pass_filter = 0.300
+Epoch 0: | | 32399/? [5:06:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 32400; scene = ['6c086cb6262004f4', '7026a142e49b73a2', '975cc049e8005ca9', '142cb821add92aa7', '2e91b67f2ece02be', '662b8fd7e0234fb7', 'fb0cc810fda13456', '8fe01181bfc7318d', 'b30c5363681d3c16', '61f2bd9a20b9278c', '46bcbdd06066acb6', 'e9ae04619bdeca8d', '828c3898047387d3', 'bf84e0f38a25ff6b', '26bcaa3454a97edc', 'c229ae59e2a819b9']; context = [[88, 165], [151, 217], [2, 79], [26, 96], [21, 82], [89, 139], [9, 90], [0, 44], [32, 93], [1, 59], [130, 204], [105, 175], [110, 155], [195, 242], [8, 63], [0, 42]]; loss = 0.028650 low_pass_filter = 0.300
+Epoch 0: | | 32409/? [5:06:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32410; scene = ['106afcce4381c331', 'd3571aa640d9ebe8', 'a399b803b264fc36', 'b391c3d9cf1425f3', 'da1a07f38e11cbf7', 'b763c3e12ee88357', '32db9d241a97c624', '9af1d032591b57af', '0246dfe96b27b4ce', '26e48cac44f92e26', '596bf8d5e28efd1d', '66f718b2953961d4', '7419ce7f5cb808ee', '57abed33a7c3652c', 'c119ecc8f4393c06', '92c72363c53e8498']; context = [[1, 43], [39, 101], [1, 62], [3, 49], [13, 66], [114, 172], [28, 109], [159, 216], [193, 254], [106, 149], [150, 197], [28, 77], [214, 267], [43, 88], [3, 50], [8, 73]]; loss = 0.027402 low_pass_filter = 0.300
+Epoch 0: | | 32419/? [5:07:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 32420; scene = ['2afd52c7f7565085', 'fd4300e825438542', '3c1c6918bd9e957d', '654b46df581afd67', '185512021ed73da1', 'c6f1fe56231e21f9', 'f8d4b903539beed2', 'ae1c4103e81c6210', 'c554e8e8471d5e59', '227ca171b4fd59c7', 'e062e2320ff7cc68', '8fa13f57998d5db1', '7c68690722edb3cf', '6afad1b7b4d32884', '7e8e2c1ec16ca90a', '783014bf9bd8342a']; context = [[19, 91], [3, 71], [110, 166], [19, 85], [8, 82], [15, 78], [1, 74], [184, 244], [65, 123], [6, 56], [61, 117], [3, 68], [2, 72], [111, 159], [0, 49], [58, 102]]; loss = 0.030137 low_pass_filter = 0.300
+Epoch 0: | | 32429/? [5:07:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 32430; scene = ['cb168186fdab3271', '4775cc190304e5e1', 'bcec4cead9a8da81', 'db93b3d79443867a', '70c9c243f90fe538', '15acd9257cdd6713', '52fdb6f042edafa2', '0ca076f1e292486c', '2a652e3614e59c80', 'aa2883136b009b8f', 'dc60b19f3ec8f234', '5a721534e874a9d8', 'ab717e6921f1e855', '06f32680a0705bdd', '0d0184bdc09e63cb', '6b16365848d1ad7e']; context = [[117, 195], [0, 43], [151, 203], [61, 103], [78, 125], [2, 44], [47, 101], [106, 181], [8, 77], [64, 113], [4, 59], [133, 179], [137, 179], [25, 87], [31, 73], [8, 74]]; loss = 0.027420 low_pass_filter = 0.300
+Epoch 0: | | 32439/? [5:07:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32440; scene = ['f722d2ef78cc3c1d', '1255b860546789fa', '8ce0d51d0982957d', 'b05542bd675891b7', 'a9700a57783f7991', 'f713339ac174aba0', 'caa2c46d63a3171c', 'a08ff72bb7ee8769', '1257d34372ddf7a1', '07d4db2e0cafb1b9', '57c99af21b6e625d', '9cd573a09adcac51', '8b43ca18bba45f5f', '5633a361f38d251b', '15530e3a36759071', '40a3d9a13d9ac652']; context = [[16, 58], [226, 273], [47, 97], [14, 81], [83, 144], [11, 76], [72, 143], [6, 78], [10, 85], [3, 81], [23, 80], [198, 268], [13, 91], [1, 71], [166, 209], [0, 79]]; loss = 0.030684 low_pass_filter = 0.300
+Epoch 0: | | 32449/? [5:07:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 32450; scene = ['f757d683875ba54a', 'e22326b78f12ffdc', '346f36ef9992c30c', '83e1a42fa8e4b9cb', 'cd0fd8b0c6223804', '0132c785e29d4afb', '7a72da90f59e10b0', '8f04ddfa3b4e7c25', '9d4c14c422d92f43', '7c710ef6368c4455', '287641eb154f6cce', 'a10eab118e2d8654', '51a1a9e840bda41d', '92628ee5e4163c4a', '173904ae7dc21f8c', '571c726d284c5fef']; context = [[4, 49], [96, 160], [181, 253], [1, 64], [6, 84], [4, 55], [30, 105], [5, 47], [101, 177], [65, 112], [11, 60], [52, 116], [70, 132], [21, 83], [12, 82], [92, 157]]; loss = 0.025448 low_pass_filter = 0.300
+Epoch 0: | | 32459/? [5:07:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 32460; scene = ['40e5a3bb5f8594ea', 'ad9fb9be955d5f75', 'fb602e807115895f', '0603807853f0f013', '662c37a6cfd717e0', '3378ab216551f600', '432f64556c7cdfa2', '32ac3a3e45fea2f2', '32f09d12fded2a2d', '071808f628241b81', '57842a9de1745147', '9222df4e186ed96f', 'b8176bf54449942c', '0f20869ca54a9011', '5f682ba84996ef9d', 'e04c8f59aa6d3c50']; context = [[3, 75], [47, 96], [105, 170], [12, 60], [35, 106], [4, 47], [83, 136], [1, 44], [8, 77], [92, 164], [1, 58], [20, 64], [26, 88], [125, 170], [6, 50], [91, 153]]; loss = 0.028960 low_pass_filter = 0.300
+Epoch 0: | | 32469/? [5:07:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 32470; scene = ['ba8683c7d9392cae', 'a157e3e707b308a8', '31bfa11b146a0cc5', 'e49d2c550292dd20', '37c330bfb9326e05', '7ab3fe4ec2cc2acf', '91084cd51335fc1d', '39197f6d0e819f9e', '27486603b495a7bd', 'e7521b22cd5de37f', 'c0d438d7bcda6b1d', '7c050554a8ec79e9', '7654d848e57551a4', 'b4cc4802ced85f9b', '625bfa26d60c3834', '019368aa1220be29']; context = [[0, 46], [27, 84], [34, 81], [20, 94], [0, 68], [36, 98], [10, 76], [9, 56], [0, 54], [56, 119], [68, 110], [63, 118], [7, 52], [4, 84], [29, 104], [1, 70]]; loss = 0.027778 low_pass_filter = 0.300
+Epoch 0: | | 32479/? [5:07:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 32480; scene = ['657a10aa562aa304', '370afce22c2aa02e', 'dce6060a16b7048a', '22b738ea36c74818', 'ff4681081044a814', '279a65a2b00f1405', '6a5e3b521dc9aaa3', '179a6f32fcf79447', 'd9697be3b5b49a65', '351fef11b73749a0', '1a7c9e811045bd7c', '987d78cac8e6b4b7', '418919a8c9bdc66e', 'fff7d26426284b52', '16360d5aa6b5ff46', '2a04010c4f49ea58']; context = [[20, 78], [27, 95], [12, 65], [19, 86], [11, 75], [68, 110], [0, 80], [38, 107], [0, 74], [9, 69], [83, 130], [17, 61], [126, 207], [2, 83], [1, 54], [49, 113]]; loss = 0.037070 low_pass_filter = 0.300
+Epoch 0: | | 32489/? [5:07:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 32490; scene = ['d0671d8cba320b2b', '2060df8f645c1b99', '0ffb281660c6cb11', 'c092a25d4ba3ff11', '9d83d265a6f6743e', '08da23838ee6e23b', '644c17fea392fcad', '8436e54d23557eb1', 'f40f47e63ea7e42f', '2d4ba71e2e29a35b', 'cd2c889d9fd62118', '4d7f27209cb09538', '423dece8f9f8b4f6', '1aff412e9382cd01', '5a25ef5428d4a542', 'd15676d8db5e0db0']; context = [[25, 96], [23, 88], [9, 71], [21, 73], [1, 54], [1, 82], [0, 46], [56, 109], [4, 67], [5, 66], [23, 103], [7, 49], [76, 143], [7, 59], [14, 70], [58, 103]]; loss = 0.023088 low_pass_filter = 0.300
+Epoch 0: | | 32499/? [5:07:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32500; scene = ['6137edc44b258c7a', '2e3434631ce1af06', 'eb1aae21845c22aa', 'c6f7b19be98213b6', '1f8257e0602fe31a', 'c9e5ed3f0a9874f4', '894a11022b502056', '54b523ecf498725f', 'd5e84d05cfd4db30', '46caf0405acfa1d7', '3111e5ad7ec9f39d', 'b6dd69cee72df5a3', '753238098c2307cc', 'b7003ac834dc298b', '6ecb3d64666d856e', 'b7f9c567a87b7c9f']; context = [[157, 207], [0, 80], [42, 97], [6, 66], [36, 78], [48, 124], [22, 64], [2, 51], [5, 56], [15, 91], [152, 202], [4, 52], [43, 95], [3, 55], [62, 127], [36, 89]]; loss = 0.028759 low_pass_filter = 0.300
+Epoch 0: | | 32509/? [5:07:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 32510; scene = ['73c0efa320a47a6e', '460d2009e8c97d4e', 'e1e06af93de0e70f', '874e813188a281e4', '175b05b368c133e7', '4905dd1533b8ffb2', '5c399d154f879440', 'ef706ea61b3c2e63', '3281beb44b21ae80', 'd70552f02e4c18ee', 'afd2942e07cd0a89', '562a651f76555c16', '01ed204a90430be3', '29ad06f3162b2bc1', 'ca093a3d6935cd2d', 'a65117bc372d4f2a']; context = [[62, 110], [11, 62], [8, 60], [7, 49], [72, 153], [14, 66], [24, 68], [20, 91], [66, 108], [10, 58], [23, 80], [62, 113], [5, 82], [19, 69], [7, 73], [14, 62]]; loss = 0.038209 low_pass_filter = 0.300
+Epoch 0: | | 32519/? [5:08:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 32520; scene = ['4f9e0f20a0596484', 'c6b59c06634125d4', '66c7705eadababf2', '82a44bdd6723ac3a', '81e0e4c9e2f56716', '15ab3d9b3b4aa620', 'd1a57d93c940cdda', '22575c7e72324c30', '3e1717aff7917fdc', 'ae5ab6a60e1ab7a1', '8ba00e36506d98e3', '7e866a2e4d30dee9', 'ddbbe74893efaffe', '5093d51cb32961b5', '9031e8656bfd9860', '17e52586d0101584']; context = [[119, 173], [18, 67], [10, 59], [12, 80], [0, 44], [184, 262], [65, 116], [21, 76], [143, 199], [2, 67], [2, 47], [26, 83], [133, 214], [84, 143], [17, 77], [20, 99]]; loss = 0.025434 low_pass_filter = 0.300
+Epoch 0: | | 32529/? [5:08:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32530; scene = ['4858c0eb2c9c73e8', '50c1c8e4a5170598', '05f52b6f26e7aefb', 'f4695ac3c07e3aa5', 'f514cc44985f9848', '8abb3d8e6fe866e6', 'fdeb9297f3b49dd6', '3c933103b2df6c49', '44cb3d9707a4f588', 'f23757c09a00e304', '338d644daae62eb4', '4da36973de5227de', '4359a06de608247b', '137580e9c0646c73', '9da1fa15af1eae3d', '5ae14b01a500682a']; context = [[27, 100], [39, 82], [71, 126], [27, 77], [32, 88], [47, 128], [31, 83], [27, 81], [44, 120], [76, 131], [67, 127], [22, 82], [8, 64], [5, 58], [38, 98], [128, 197]]; loss = 0.025628 low_pass_filter = 0.300
+Epoch 0: | | 32539/? [5:08:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32540; scene = ['05545258ef753fc9', '42e996b4887ba52b', '503c1ba7fd62e506', '3a3e444a266111a8', '18f88993908bd910', '25f075f3ff1a965f', '5cd1f5bffe871272', '6c7342092714b3f3', 'fac2c72daf724143', 'd6b7a7a9b3091886', 'c99563873d943d5c', 'c390ed5cdfce1076', 'c363f4b694a2c012', 'f833af59fc33c0d1', 'e1a753667915e16a', 'f057b6113f2f4e6f']; context = [[5, 81], [1, 64], [65, 130], [23, 88], [37, 100], [0, 48], [5, 85], [52, 133], [32, 112], [165, 229], [33, 107], [0, 70], [34, 112], [15, 84], [25, 86], [0, 75]]; loss = 0.039043 low_pass_filter = 0.300
+Epoch 0: | | 32549/? [5:08:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 32550; scene = ['141748eda1cafd13', '217e2f486cac8813', 'd9a845032f5e1039', '4a08a57c55bc65fa', '277df596054b969a', '0b845dc703c23621', '232da3c3c432bcf5', 'edf8fdfe10fb893c', '34769f82ff4b286c', '2804817967c9ab8b', '1fba7a1a16edf7db', '4df2a98cf2678d8c', '04c4c5a25b4ccb21', '90686fbf5ca9bd0a', '77a0fdc6389de36b', '17d74baebc458fb9']; context = [[52, 114], [9, 73], [1, 61], [149, 196], [11, 54], [20, 62], [105, 160], [146, 216], [2, 53], [1, 47], [71, 139], [61, 137], [56, 101], [52, 98], [38, 85], [9, 80]]; loss = 0.025451 low_pass_filter = 0.300
+Epoch 0: | | 32559/? [5:08:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 32560; scene = ['a55a64e116b5619a', '34857ba0aee5fcc4', '57faf061b07006cf', '993d1f1c6062a6be', '37495922fd1df053', 'fe0eb7aed6e113b3', '05c144bb81c4f16f', '538edda415ed2de3', '20153915281668a9', '9b69f9f998575d69', '98f9e6a5b0475808', '362336fc9e531a0a', '891b961086b8c3c1', '4ad5cecab1988512', '6f8b6524e87dc23c', '370ed12221433e23']; context = [[52, 117], [128, 207], [153, 234], [45, 115], [49, 93], [2, 82], [33, 109], [24, 79], [140, 190], [179, 233], [199, 261], [16, 68], [20, 93], [87, 162], [73, 133], [13, 71]]; loss = 0.023556 low_pass_filter = 0.300
+Epoch 0: | | 32569/? [5:08:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 32570; scene = ['7dfe94c7f896530a', '676a62bb7947d66c', 'b88bb5a497a3359c', '62fe323977f07a05', '3b46f7051f8f7435', '5f97e7f0daeeacbf', '74aeb62f3246d73d', '7514f3b17589785b', '466a137cf7c24cee', '7fadd0714fcfd888', '58cadab07998fe5f', '305ee26dd52e6c47', '6b9e2b2554495537', 'd963397c195c1af9', '5b8976bf2748f77c', 'acb8c8353e37d640']; context = [[166, 213], [7, 88], [54, 120], [1, 82], [69, 135], [93, 163], [52, 113], [37, 98], [58, 123], [0, 42], [29, 104], [57, 106], [4, 70], [2, 68], [140, 200], [71, 141]]; loss = 0.023393 low_pass_filter = 0.300
+Epoch 0: | | 32579/? [5:08:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32580; scene = ['97a2dba4959a326d', '15520790d9920886', 'ccc67dfe3f68e1dd', '8486311a5e35b0ea', 'ec349cabb9b47638', '6dfccb29bd9d71cd', '6f4fa444ace5838b', '8ad3c0bf78be1bca', '7ff117de16c1a86e', '77ac7aa4d5b94975', '16751b714cbe4b5b', '534a013a4b3faee2', 'c8b3f810b11d682c', '50c93bd960c75b92', '0b249791ba342e86', '3b0eac399dbfd16c']; context = [[157, 199], [99, 154], [15, 96], [152, 199], [48, 94], [42, 117], [32, 96], [21, 64], [18, 70], [2, 46], [210, 265], [106, 171], [100, 159], [75, 149], [6, 75], [17, 82]]; loss = 0.029628 low_pass_filter = 0.300
+Epoch 0: | | 32589/? [5:08:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32590; scene = ['ff39f0e0372e39cd', '04323ad83985f199', '386e71f55a2947db', 'f4d25d72b22850ca', '1285e63f17102c06', 'd5f46a0f7d2bd110', '7f5201ae4a879550', 'bb2d9debacfd0afe', 'd0b05114696275a3', 'f760a303e59652b9', '152fdd4a1d573eac', '8d240b118357cf8f', 'f74d512df8806cc1', '83f57bcd5d9121f6', 'e579edd7cd33c20f', 'f6002d27b4940f4b']; context = [[67, 129], [4, 74], [21, 63], [68, 128], [13, 78], [48, 126], [72, 119], [1, 47], [6, 79], [30, 87], [38, 100], [6, 56], [30, 87], [11, 68], [1, 48], [19, 68]]; loss = 0.026972 low_pass_filter = 0.300
+Epoch 0: | | 32599/? [5:08:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 32600; scene = ['a00677410f377f66', '1446c12cceb0df17', '4e064993599076dd', 'be3a68742dbe1610', '0c5c3bb436ed7ea8', 'f7ddde2e3318692a', '0f8adc9b02ba1db0', '4ad230367de1d176', 'd3e425ca2b265160', '393170e2cba92637', '8e034787b1b72c40', 'd3f442922c9494cf', 'dd9483e04108ca18', 'ea91c58758e23491', 'c99cbe4d23718af3', '78fb7d0d8b14e585']; context = [[49, 113], [12, 56], [144, 192], [6, 68], [122, 194], [114, 160], [21, 87], [13, 68], [38, 100], [9, 88], [105, 147], [7, 88], [30, 78], [1, 72], [39, 98], [1, 67]]; loss = 0.027310 low_pass_filter = 0.300
+Epoch 0: | | 32609/? [5:08:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 32610; scene = ['edac89ad8a0c5857', '6b44fe081be25a0a', '057ea4c83ccbcfdc', 'c57ba40992ef16f1', 'acfb427d90168b64', '7a65f22e4d3f4d00', 'f73df719b44d8e8c', 'c2e94ef07b24c422', '7b13896bf3ec456f', '86beccaea6276618', '1c2d11af0b0eb5a7', 'a4f7106b183e3aa4', '160fb18fd9ea1ea9', 'af9fb59645cb5450', '0fbc7db19bff42d9', 'dda33970fa3ceac4']; context = [[27, 86], [16, 89], [49, 96], [83, 129], [0, 77], [5, 66], [50, 114], [22, 85], [188, 260], [62, 107], [194, 262], [2, 44], [3, 77], [171, 231], [17, 64], [174, 252]]; loss = 0.025267 low_pass_filter = 0.300
+Epoch 0: | | 32619/? [5:08:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32620; scene = ['ad851e2af582ccc0', 'b6c9aa729ebc703e', '5deea71304d2b1be', '9d79273413b39047', '600d0b927ad2995b', 'bfc897cfc8733b10', 'c7f66b7e91a9e97e', 'ff013f8bcc9f80fa', '4e3ad7b697fa82ec', 'b398bc3316269700', 'dc3a54ede2d48c8b', '787007efbbe4d6a6', '550b183f0cd83a7a', '43d0e6dce7bb1e95', '49529740b79c463a', '24d756c820744e31']; context = [[12, 90], [0, 57], [99, 165], [27, 105], [170, 229], [37, 79], [35, 104], [0, 77], [24, 71], [28, 99], [161, 229], [77, 158], [6, 67], [8, 60], [26, 71], [73, 136]]; loss = 0.027214 low_pass_filter = 0.300
+Epoch 0: | | 32629/? [5:09:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 32630; scene = ['3f882fe126eb3f9f', 'cc867fd7d43a2b01', '384df0b400bfa2ba', '15770c4aa1e3c886', '7ee115fb205f848f', 'f6ad279359f6eb63', 'ac6a1e0b83cd7826', '2a73d7c5a8cf0fbc', '7371502a3bed5b0e', 'c650dda53967eb05', 'a580f9d21fe00fe3', '688a6b4560e6d685', '5dc01b6fd67b6f09', '4f31c3d2031ae29e', '79c4a5514b4df522', 'f1ef7c1adc5ec36d']; context = [[15, 93], [11, 79], [41, 86], [34, 106], [111, 179], [27, 77], [15, 75], [8, 63], [45, 95], [28, 88], [8, 87], [1, 68], [145, 215], [26, 88], [94, 148], [46, 105]]; loss = 0.023984 low_pass_filter = 0.300
+Epoch 0: | | 32639/? [5:09:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 32640; scene = ['e050c501434635a6', 'f8e7fb62ea38f3c4', 'f31f0b80f53b946c', 'e821c58064c7136d', 'a81a0c4349ad3507', '646d7fe490c813f9', '1fae8556460b26b1', '192e889ee8976b5a', 'e56c29e299bfe377', 'a6c86ebf4484a3ee', '2951495162c9b653', 'b434e53c4030e7f8', '190ac8a179da3ae4', 'ed2867040fbb2e30', 'b04757cf619d9817', '0452212f8a422ba3']; context = [[164, 212], [11, 68], [9, 88], [4, 49], [53, 103], [57, 115], [22, 79], [7, 54], [8, 54], [12, 60], [12, 72], [77, 154], [6, 70], [18, 67], [0, 42], [1, 56]]; loss = 0.025354 low_pass_filter = 0.300
+Epoch 0: | | 32649/? [5:09:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 32650; scene = ['c7325a8405a11e20', '75dde7780f57ce88', '520cd2608ff2d5a4', 'e9dbafff61308a9f', '19cc43821db31eff', 'cf4e473d785e36bb', 'c7b2164a0125ec43', '3cff75a214377cfb', '1c5ea1ec854c472f', 'e141faefbd36799a', 'd6a97f5d2988757e', 'f8b0f3569f34e541', '90f1b2ef803358d1', '55ae1e73f52a00a7', '91f022bdb0826031', '42b07aa8d3701d5c']; context = [[1, 75], [9, 51], [61, 115], [8, 82], [32, 89], [104, 164], [4, 76], [64, 128], [45, 108], [12, 59], [66, 112], [119, 193], [95, 149], [32, 99], [122, 194], [40, 100]]; loss = 0.025667 low_pass_filter = 0.300
+Epoch 0: | | 32659/? [5:09:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 32660; scene = ['10567c82a531e730', '403be198663b2b42', '286e4261f2d7a0f2', '10451da41760e4cd', 'df0c3a97c7905d54', '76715fe6f0e48a76', 'ba11fbcbcb19baa0', 'fe59d86ddd3acba2', 'c94d7945b47305a6', 'dc52eef1ceb52ed4', '829edc41b1f3753e', 'bcb1b35c603efea7', '93677620c60531d6', '3b7938eaf2733a31', '0cc6a78a866dbbe2', 'c5efe399fc5b5484']; context = [[162, 234], [2, 58], [7, 86], [13, 66], [26, 80], [24, 86], [20, 68], [10, 90], [15, 74], [103, 146], [51, 95], [12, 68], [1, 61], [22, 86], [6, 87], [54, 107]]; loss = 0.032588 low_pass_filter = 0.300
+Epoch 0: | | 32669/? [5:09:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32670; scene = ['4b3e117d4f50b167', '4276394e8565d036', '72af17dcf2eba0cf', 'e197531346c5f079', '4b67e4f68e085f45', 'df4e1717577f82c1', '4ad8aa55f3b300e2', 'd0db77f773444638', 'a6ac9a6cc22cef98', '6b990b7b7e1842d9', 'a42751218de3c92c', '5aaf9100d34579e6', 'a9caf4fcb2bca405', 'bffbd3c67735eeef', '935a90bf15b8c7cd', '7125ae35464adb5a']; context = [[14, 72], [43, 112], [11, 77], [5, 68], [107, 183], [50, 107], [40, 83], [20, 78], [24, 69], [1, 44], [42, 98], [25, 71], [15, 87], [66, 109], [70, 151], [1, 64]]; loss = 0.022311 low_pass_filter = 0.300
+Epoch 0: | | 32679/? [5:09:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 32680; scene = ['cc1939ad78497c14', 'd78319cea2d2f267', 'de72e7430ace193f', 'b78bf8d0319fba08', '0dbe8d0d16ba2e5b', 'c2e24813705c3768', '132dea1279481222', '3df9d0d002a0a0c0', '5d1b54e167f45113', 'e99bc2b58b6f2ccd', 'e3934b50d763cc3e', '4dd1e7636b5fbf13', 'fbda7cc833f25a78', '6b1f86e9e65ba131', 'fb32c9eb51209279', 'ee7e466e2abafbd8']; context = [[6, 53], [0, 81], [43, 119], [36, 85], [23, 93], [21, 92], [6, 54], [98, 141], [30, 101], [13, 57], [9, 80], [36, 90], [40, 97], [12, 93], [36, 113], [3, 47]]; loss = 0.046871 low_pass_filter = 0.300
+Epoch 0: | | 32689/? [5:09:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 32690; scene = ['ae468714e3fa31b3', '7157599e110e23d1', '6d5b5729fd856041', '8c511adfe1edf981', '4c4fb804144e8cc0', 'f5a173954e586775', '1caeaf11a6686a6c', '0e41e1856a93f081', 'e407e438aa7e9206', 'a3623a3ebc370bbe', 'dac3810c49d3ab7b', '4646bbb28f1eae0e', '03ebe8f7060a0adb', 'ec4db803b81a0bdc', 'bf18f5ce237cd08c', '17eb179606c65453']; context = [[27, 102], [34, 87], [57, 115], [108, 180], [15, 76], [4, 85], [42, 97], [36, 105], [2, 50], [15, 77], [178, 225], [12, 60], [7, 54], [16, 73], [14, 74], [56, 116]]; loss = 0.029299 low_pass_filter = 0.300
+Epoch 0: | | 32699/? [5:09:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 32700; scene = ['a2439397e99e31d0', 'b33916336ec2906c', '78a40a9f15582918', 'f2e3320668b47961', '06917002d8f6373e', '4eb979a3e3fb879b', '2317fbb490ffe046', '2e887f0103cfe378', 'c54fe1ba08b7ab80', '43c4db038bb72004', '4c1dd38ae1e23da3', '55433af3386415b9', '46a475daa238ceaf', '8eeeb4da9f352048', '825f5fc21ea780cf', '3bf978b258b8305f']; context = [[2, 66], [3, 79], [3, 50], [16, 73], [94, 145], [0, 42], [1, 75], [13, 85], [0, 47], [28, 76], [7, 60], [28, 87], [133, 197], [75, 135], [71, 146], [169, 238]]; loss = 0.025172 low_pass_filter = 0.300
+Epoch 0: | | 32709/? [5:09:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 32710; scene = ['7644a78accc2cc6b', '85d0b74e494bb943', '540a01a5b334b143', 'a5d4bd8f3adfbce9', '57dad644a0b00bf9', '3899355b8688201d', '9bf807b8dde65f1f', '0d98f880b82f6094', '744107cf635331c2', 'af65d45e8c4ec7c9', '7a90bb3eba5b8c36', '5d1d241eff27b366', 'cc52a27f64bc5926', 'c38c9d83c7aa6296', '87cd1bb894c62dea', '296e446259ceaa84']; context = [[16, 68], [4, 61], [38, 113], [94, 137], [0, 48], [0, 42], [6, 60], [1, 47], [26, 90], [190, 259], [2, 60], [161, 229], [92, 156], [80, 128], [33, 86], [107, 173]]; loss = 0.024632 low_pass_filter = 0.300
+Epoch 0: | | 32719/? [5:09:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 32720; scene = ['4f4c4302c36cb755', 'f585524ad6786b54', 'd98e4f128e4fcce0', 'fee2852411318e54', '71911b4af12b9a16', '8722a564706e204b', 'e63caff82406317d', '305999e29713a998', '0fca31f2dbbd79b5', '08f55e581d3ff038', 'e60d3c2cbe8722dd', '4b641eaaec862d77', 'bb871f57112086a2', '03c56cb029f69054', 'b2db2e236e0708ee', '903cfae5f5b1a4c9']; context = [[135, 186], [32, 95], [173, 249], [5, 51], [9, 52], [72, 144], [7, 67], [26, 77], [2, 69], [156, 203], [7, 55], [11, 65], [49, 105], [6, 50], [30, 100], [12, 86]]; loss = 0.028498 low_pass_filter = 0.300
+Epoch 0: | | 32729/? [5:10:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 32730; scene = ['5841eb15726c674c', 'dbff8fae78b2b07f', '9dd0efd4b4626604', '20023bc0d2cd36fc', 'e7d38a7e5cb0a8c4', '66ab33a1b3e31e7c', '393f1427397745fc', '9c9e982632b63f97', '6259f31e093585f5', '618536ae5f39352b', 'ef32d6c5ae18f16e', '3a774fead9e1acce', '7280451b8d7c7f9e', 'a30f898a6e455745', '87b388b4e4a77b3d', 'da158c0720b75e35']; context = [[13, 72], [45, 116], [18, 88], [123, 172], [5, 72], [41, 114], [3, 70], [6, 69], [152, 204], [43, 87], [4, 54], [0, 60], [1, 60], [4, 59], [1, 76], [4, 77]]; loss = 0.027754 low_pass_filter = 0.300
+Epoch 0: | | 32739/? [5:10:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 32740; scene = ['35ed7f8bb069a870', 'cb03afd106320b00', '7493053829f8d51c', '1dc5af7d03596b0f', '00f08e59fbb6ec33', '1ab95b70ec904d06', '668afe07ab9d386f', '69f1ed79ce28a32a', 'cf161b905085aaea', '70a95e1aac4b5e9c', 'b84e70051e339fb2', '8272b2e649ed65a5', 'cd6aa564df030a20', '97053f57bce108bc', 'ed2988e72b69786f', 'c3699518391f8907']; context = [[2, 44], [1, 57], [179, 234], [0, 42], [53, 115], [96, 150], [42, 114], [1, 82], [2, 71], [15, 72], [14, 63], [8, 82], [1, 82], [0, 59], [0, 58], [9, 69]]; loss = 0.023170 low_pass_filter = 0.300
+Epoch 0: | | 32749/? [5:10:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 32750; scene = ['8aa531490595fc1b', '8c1ea3036d433d59', '1f1744b617eb9080', 'e1cdd73fcf663dff', 'b06d8179dc790851', 'c18059287117dc42', '30ad1d6e17b4922b', 'a2c3934b695a1514', '95944b694ab2fe24', '36752f8fe51ec622', 'afc8e955b8c9517a', 'ccfe340d043d8e01', 'a1d655a4e5b6c1dd', '6c57529d23472eaa', '083d8700afad2b76', 'b620104d7854f90c']; context = [[11, 85], [59, 138], [68, 142], [5, 56], [12, 91], [45, 115], [13, 85], [192, 271], [20, 84], [90, 149], [43, 113], [50, 120], [93, 154], [152, 222], [32, 113], [31, 94]]; loss = 0.025553 low_pass_filter = 0.300
+Epoch 0: | | 32759/? [5:10:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 32760; scene = ['3f138c82f489e8d6', 'c04b6ad2b52356b7', 'ec322c236e7a4492', '2dc825f560e48ede', '96cb00ed5d745db8', 'dfe008802b69008a', 'a7bc22395ad69b99', '5ae7974a40e54506', 'bf0f4614e32aa403', '3ffb94731fd84995', '9919a90cca908f5a', '979e6ee2c54274c8', '2fe6898d6b504488', 'efe68758a4f58ec2', 'e1a351b19b796c72', '98b704ffc9ad975b']; context = [[2, 72], [148, 195], [73, 124], [20, 95], [0, 78], [6, 52], [123, 167], [94, 145], [150, 226], [37, 116], [10, 79], [1, 79], [22, 102], [74, 140], [24, 100], [4, 68]]; loss = 0.029207 low_pass_filter = 0.300
+Epoch 0: | | 32769/? [5:10:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 32770; scene = ['707f00068b57f04c', '097c91b5e2ad9311', '28f98161e55562a1', '5073eb59ee636c69', 'b86f0cc451cd38e0', '305e37ea442951ab', '9fc50f65a5a998b4', '6841d6e7bb3e445e', 'fe07d4791305e06d', '11c1dce651050522', '2ce944c8f052910e', 'a886961a446251d8', '3209d1a9fe4edac3', '0e312299aada689c', '10c29deb681b55cf', '829dca1fdf41c748']; context = [[1, 58], [3, 68], [54, 119], [77, 151], [202, 251], [3, 47], [79, 147], [6, 51], [9, 90], [98, 169], [7, 53], [39, 108], [85, 141], [27, 103], [15, 78], [54, 100]]; loss = 0.028316 low_pass_filter = 0.300
+Epoch 0: | | 32779/? [5:10:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32780; scene = ['f0b6b68c348bd47a', 'afde2186de3c048c', 'e1b796da6f1eab63', '8cdf6bd40877926d', '0be2ce14dcf9a284', 'd9c097582789f921', '56280b1626865ec4', '61f46a86002d1ead', '6af72be1c13d95b1', 'e583e0081a605269', 'd2b0b8d0e6d4c6c0', 'cf4862826e521d10', 'fb8cc6461d197be8', '2703827c9dd31ff2', '8c3a9655b7043b7a', '5db02c873a072b8e']; context = [[4, 53], [9, 53], [22, 78], [2, 73], [3, 52], [0, 43], [56, 107], [1, 55], [14, 80], [115, 185], [11, 61], [209, 255], [9, 56], [4, 51], [116, 189], [12, 68]]; loss = 0.027104 low_pass_filter = 0.300
+Epoch 0: | | 32789/? [5:10:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 32790; scene = ['780748d702c6c0b0', '571d919cdb03eb35', 'a5a2105d7102c23c', '2ef1fd060ed912cb', '4045169a7724a0b4', 'c2fd6e5ebbff57b3', 'cb007777cb7dff95', '9794641b7e015578', 'f3135a7492955a8a', '5041701491a4b930', 'ea5a39bd855fdd91', '604b0838aa3321c5', 'c1bcd66d5a2d51b6', 'f47abcad22b7b6c4', 'f8179df095e9575f', 'c34baa7a466d6f17']; context = [[41, 121], [36, 105], [31, 99], [9, 81], [17, 96], [23, 100], [13, 83], [104, 183], [76, 132], [39, 103], [95, 167], [77, 144], [117, 160], [31, 87], [67, 130], [72, 138]]; loss = 0.030689 low_pass_filter = 0.300
+Epoch 0: | | 32799/? [5:10:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 32800; scene = ['b7003ac834dc298b', 'a3867b242a8e5e8c', 'd34d184b1a47375e', 'b7f9c567a87b7c9f', 'b6dd69cee72df5a3', 'a8ae95c162e03289', '089cbe98ad3beddc', '4379921e6438fdac', 'd4c8ef2d288fd1bc', '44d3acc81bf24865', '655234c2b421904f', '76f53a277c8e50cf', '9e732b6f83edaa38', '79049d915465c4e2', 'ad37a470893adb0c', '8350ca162073edcd']; context = [[10, 61], [8, 57], [12, 73], [18, 60], [1, 57], [3, 72], [43, 110], [43, 121], [9, 56], [122, 192], [0, 70], [0, 64], [23, 75], [47, 109], [82, 152], [43, 116]]; loss = 0.032480 low_pass_filter = 0.300
+Epoch 0: | | 32809/? [5:10:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 32810; scene = ['5dcf8e4b8aa7016f', '051733e382609350', 'cd831a5973c3cae2', '1b449c2b2ba10206', '4fa8ea842dc6c780', '42014bc343bbe932', 'ec83684b0a0e9aff', '55c7da6a9e83d3a7', 'fe0e0778afc3f27b', '6fad7d90b7b6d111', '83192342586c4884', '4fa0b5f07c785cd6', '80c01f118ad95ec4', '303a4ea29cb63cbe', '1557cec46192303f', '3dfdc1b6c7b658e3']; context = [[15, 91], [2, 66], [28, 107], [112, 189], [38, 115], [92, 155], [1, 79], [53, 113], [45, 114], [22, 68], [119, 172], [66, 108], [7, 51], [51, 105], [51, 130], [39, 108]]; loss = 0.027091 low_pass_filter = 0.300
+Epoch 0: | | 32819/? [5:10:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 32820; scene = ['e41c6ed43457b590', 'ff022319df48586a', '5cad63fcd9593f65', 'f026933010d5a6d3', 'a90e228525bff876', '64e8e8cd6c4fbdf7', '64d8f501b693aedf', 'db54db35470e8134', '6a301b6d533065f0', 'b9347cd2020634b0', '2eee580c984b3466', 'e0fb27c2c232697e', 'e2af00d19440bf92', '99ce731cb66281b7', '55bf3c628550da29', '8e2f3bf63d24d3b3']; context = [[1, 75], [28, 100], [41, 91], [3, 82], [32, 92], [21, 82], [8, 77], [0, 81], [7, 61], [206, 273], [16, 60], [68, 128], [2, 54], [75, 140], [14, 62], [4, 58]]; loss = 0.024403 low_pass_filter = 0.300
+Epoch 0: | | 32829/? [5:10:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 32830; scene = ['8385d4ee358f824a', '981fe658a2fa6614', '0b15657aa4c4be4b', '64af4fa08b13c74a', 'd4c667d40e23cf54', '7a40a02de2f19d49', '9328af3177adc783', '0155a83d21660a97', '99d999ed61776749', '24f919db9f3b1445', '8f8d360604f220f7', '2edee3bc2b071498', 'c1fe773fdeb1a972', 'fc9f71327402e98d', '230ae34894c1c55e', 'cd60c1e602023a78']; context = [[9, 65], [92, 169], [39, 85], [21, 82], [1, 55], [49, 96], [41, 118], [8, 88], [3, 73], [37, 113], [62, 104], [14, 95], [15, 76], [2, 52], [13, 64], [188, 247]]; loss = 0.028199 low_pass_filter = 0.300
+Epoch 0: | | 32839/? [5:11:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 32840; scene = ['f36afd2815e5c749', 'f72e0d5e11df9fce', '5af7a31355cbd8fb', '5d217b6f2d5e1943', '69fa43535c0ce54b', 'b1054c0b1821e5bf', 'e06bf63d65b9cc29', '1f0cab6463145841', 'bfde7f58848d4403', '0eae94f75a1d9b6d', 'fba24b33eae5d387', 'c5c1f5de9f86f14b', '352d2bdc1900b5e0', 'c7ed76ffbf949aa7', 'ba3e38a071a523f0', '1dfec4dc823cab8a']; context = [[21, 100], [1, 48], [88, 131], [123, 178], [0, 54], [0, 43], [210, 276], [47, 93], [73, 117], [8, 57], [32, 74], [9, 77], [18, 86], [8, 87], [9, 77], [107, 166]]; loss = 0.034901 low_pass_filter = 0.300
+Epoch 0: | | 32849/? [5:11:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 32850; scene = ['5f649a9466de2d38', '75d267a743730550', '3090f6f78794c6d3', '83c978f31af82311', '1691d7d441029504', '8c077eb3056fe78d', '33d928665030754b', 'eea664df13fd8545', 'b430c13e0b88bf9d', 'ded3e3a186397ec9', '4ec06e61079982fd', '6fe4a15e43acab4f', '3e17127a859d16ce', '9d83921cecb13b6a', 'f7e02ac7b832d877', '85063672a6d59031']; context = [[36, 104], [83, 135], [2, 60], [1, 59], [32, 106], [12, 81], [4, 50], [0, 46], [1, 82], [18, 70], [173, 216], [39, 106], [8, 67], [18, 80], [34, 85], [0, 64]]; loss = 0.022325 low_pass_filter = 0.300
+Epoch 0: | | 32859/? [5:11:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 32860; scene = ['63636e57f2911e93', '801309986851fc16', 'eca88921ba674621', '4ec72717091e92c7', '8a09a434323bea46', '5e697d6da080d49f', '693f8fb61e4fb144', 'c7107168e5636017', 'e7bb87c1283a342a', '2f9d55eacd8587ac', '3ce2813613f42d3a', '0543639217e736f4', '06badc5e41c058a3', '06522455068beea6', '89aaed17be3e98f1', '05294273b71187d3']; context = [[17, 63], [81, 154], [2, 54], [124, 191], [55, 98], [38, 85], [0, 68], [0, 43], [181, 250], [41, 90], [4, 66], [11, 78], [5, 48], [16, 79], [2, 77], [19, 87]]; loss = 0.025441 low_pass_filter = 0.300
+Epoch 0: | | 32869/? [5:11:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 32870; scene = ['c40133dd82bfbd0c', 'a740e82dd72e351d', 'a611f23daa8ebe85', '5305f13cbd5351cf', '34ffc4903e3a1622', '970350268b239272', '51c99c6fd15b519a', '0583810be7bc8bf8', '5671cb0d00d9d6b7', 'e1da6e7e7a0178c4', '5f62d53739525eaf', '1f0daae20a46ff0c', '4e7da8637b6a526d', '88a0a05121f9f74c', 'f06de959b93a5534', 'd8ebdfe45b35a5aa']; context = [[78, 135], [61, 111], [28, 78], [65, 133], [6, 61], [16, 84], [103, 148], [64, 114], [22, 83], [146, 211], [3, 74], [11, 60], [10, 79], [70, 114], [21, 76], [12, 61]]; loss = 0.026229 low_pass_filter = 0.300
+Epoch 0: | | 32879/? [5:11:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 32880; scene = ['8da1bafec04ced57', 'd3be28b87efbb74a', 'dc82737a9ed81ffc', '39ba141a740bd82d', '2a157e573ea82340', '6266a30f21d42bc5', '5ab26790899c76d3', '87e321f35c84dbdc', '0ee1992781f90c07', '6947c411c6295d8e', '905b1855f110a802', '94c9aa266f266590', '73578fbad99d7332', 'c371d1ab17ce1fc6', 'fd89bf7100bbab61', '6b6f032d1c33702f']; context = [[91, 146], [43, 92], [0, 71], [37, 112], [27, 79], [47, 113], [137, 212], [0, 42], [17, 69], [109, 157], [50, 129], [1, 49], [3, 77], [13, 68], [32, 100], [80, 146]]; loss = 0.030374 low_pass_filter = 0.300
+Epoch 0: | | 32889/? [5:11:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 32890; scene = ['fd0a48b3f2045c87', 'fff4563a61662382', '58c3d4b20c0af4b0', '3c811ca3025087b3', 'ebedf7681c04968a', '06b98faeaee4b685', 'f1db4a83947cab7a', '0f7730277fc0ed26', '622415481d35387b', '3b26d9c5685e51bd', '7d8a6ad17acd0c91', 'eba16e2c6d32ed27', '5d4377c186d48768', 'd0a239ccef3fbe57', 'e4346a99bfe62ebe', '4a3564ac24e69988']; context = [[1, 68], [15, 71], [57, 131], [16, 92], [40, 117], [0, 51], [19, 61], [3, 48], [149, 196], [92, 137], [3, 69], [3, 55], [71, 129], [18, 87], [117, 197], [32, 77]]; loss = 0.044929 low_pass_filter = 0.300
+Epoch 0: | | 32899/? [5:11:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 32900; scene = ['4d6386d7cd6a39c9', '23d280e44989cfa9', '613b15bcf32abe86', 'a50ad9f471067a18', '41260f3b4a9ce069', 'f47bf9df4635b7bc', 'de1f491fe538c691', 'ea288350ae9b3e13', 'c60aebdf9fcd7c9f', '24a505e1ad056ff9', 'f49328cec36f3426', '3e46de65a38f9485', '2b2b8845427d1744', '6a6351dd709a7f23', '76bfadca2713b90b', 'b1f0ea674605ee53']; context = [[11, 88], [4, 53], [46, 108], [180, 249], [33, 80], [2, 47], [6, 70], [128, 181], [121, 184], [42, 92], [106, 170], [1, 43], [36, 101], [4, 83], [2, 50], [155, 229]]; loss = 0.033006 low_pass_filter = 0.300
+Epoch 0: | | 32909/? [5:11:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 32910; scene = ['4b868c1b9815ead6', '803cdca952362ddb', '5801bd8ed3baed75', '95c9d9e0f42b1a15', '9512235a3b0e6bc2', '2c8e2b99b8d5b036', 'dca0f0eacbccd9c8', 'e211852f55d383e8', 'f989c56011d46722', 'bc7cc2b25b604fce', 'bd8657935f536dd1', '36e81bf863b582ed', '6a98a5412a5aee02', '6bb1fe38f50ee2f6', 'a0ac7c5264d3d14a', 'e27944e20f739de1']; context = [[10, 63], [12, 55], [37, 115], [0, 44], [14, 82], [11, 80], [36, 83], [0, 44], [22, 76], [19, 70], [120, 163], [206, 248], [6, 55], [25, 76], [7, 51], [13, 58]]; loss = 0.028220 low_pass_filter = 0.300
+Epoch 0: | | 32919/? [5:11:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 32920; scene = ['d950e7899ea3c6b5', '9954d8448441bae6', 'f46cd6716555abab', 'f563ae2c67ee8192', '5b6461227829a452', 'aa6baa58fe0e6823', 'ab4998d89b2a8d5f', '297dc136d19e7ace', 'c736f11c968c7121', 'd5325aebc6be807e', '4dace0a9778018eb', '2809cd543b89ce6c', 'd9cdc72f6ece8b25', '5523e72be12eaf78', '808e9fd47a7c37ec', '1c19ae7ef94379fa']; context = [[2, 80], [27, 86], [101, 176], [163, 222], [0, 54], [145, 218], [131, 176], [28, 99], [4, 63], [107, 161], [3, 65], [3, 45], [71, 151], [2, 73], [8, 81], [32, 110]]; loss = 0.025117 low_pass_filter = 0.300
+Epoch 0: | | 32929/? [5:11:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 32930; scene = ['47d487dd8c7493e5', 'e16cfc9b845df01b', '393714010f3e21af', 'd0d9fa24cdd6e339', '10e80029aa50a7d4', 'a5ed0b69036ccc36', 'db33ed3403832c40', '484638f70ece08e2', '7d5781ae96274031', '636e74a5524c4a37', '34e946a3977d4878', 'ba3501161e1716e3', '0b7e9b9b24181599', 'f9a2c0ffaf95d2c3', '0083e7de502c19b2', '6dd581f9955f6f4a']; context = [[67, 149], [0, 45], [0, 73], [4, 67], [159, 219], [63, 117], [5, 69], [68, 149], [22, 84], [30, 103], [106, 165], [81, 137], [3, 48], [23, 80], [6, 76], [64, 132]]; loss = 0.027200 low_pass_filter = 0.300
+Epoch 0: | | 32939/? [5:11:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 32940; scene = ['03903125b687bad8', '88915870f178a401', '28db6971cb1ecad3', '0ddbb5e6ad59fbfa', '5af2dcd29b5b6469', '61ba4c881a657b7b', 'b2c06d1131819db1', '0af99321930a55b5', '43c9e3ccd9828f38', '170ed6a0a15ee097', '412d0963f65c77ea', '65dd2cb793b8bd9b', '08c8768fb707981e', 'cdf7ab179d4bb5fe', 'cce8d4029c89f537', 'd8fb0ecea04b7905']; context = [[28, 77], [0, 58], [0, 44], [60, 116], [28, 110], [37, 83], [120, 169], [140, 204], [181, 237], [0, 60], [99, 151], [2, 48], [30, 111], [22, 67], [91, 146], [214, 269]]; loss = 0.026104 low_pass_filter = 0.300
+Epoch 0: | | 32949/? [5:12:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 32950; scene = ['0b8f65a906a21f2e', 'd6ad59a4aea1073f', '87ed4d913ee78838', '44a8b25d903ee083', 'd7acce6135c009a5', 'c9f359b574b6cc32', '60cf9a07256f14c5', '93b28f9bf1b48d57', '58886bd2cd8929cb', '8d01c6a9705d107c', '6fbfdd663d971a92', '6c2c177b4e2679b8', '8bfd99f51b97d29f', '8e119759545eb126', '1f0308acd5b5aed7', '35b4f262621408f8']; context = [[53, 115], [3, 68], [6, 74], [10, 71], [4, 81], [1, 72], [19, 90], [0, 43], [32, 83], [152, 214], [2, 66], [69, 111], [10, 63], [3, 76], [19, 78], [79, 142]]; loss = 0.026147 low_pass_filter = 0.300
+Epoch 0: | | 32959/? [5:12:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 32960; scene = ['cc64908cbb514ebd', 'd1b9a1b70474466f', '51d0544fae56e467', '8c67d77a1f9a6b14', '7039734be2f00317', '2e770da39beca629', '1d81f59588ab98f5', '5f0a8cfefdaaedcc', '1374f1c247f796e1', 'ede431bc93326650', 'cbb133671b625ca2', 'b6c4901a41fed652', '4d850750a62bd77d', 'dd5bde1ccda76492', '224c90a016589fec', '4d65c764fda63e65']; context = [[59, 114], [8, 66], [99, 157], [12, 93], [47, 96], [24, 90], [35, 110], [128, 183], [115, 182], [11, 69], [112, 170], [1, 45], [195, 246], [59, 130], [112, 161], [7, 60]]; loss = 0.027259 low_pass_filter = 0.300
+Epoch 0: | | 32969/? [5:12:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 32970; scene = ['d6045d186161558e', '68d8c862333a1684', '308ec88c1ad9b768', 'a367a7587df5e00c', '94c654bd3e031bcb', '2946d1671bef8129', '23174a6cd65a0731', 'f5bc5f1993328821', 'ba66ab644596fa12', '3646da58ac845d22', 'dc94561089b65d67', 'b5869252c17178fb', '89f336072aeb05fb', '7ce47dba9754305f', '88e0dec195946b92', '8c2d32d94894ee2a']; context = [[95, 170], [28, 92], [57, 116], [152, 210], [27, 75], [17, 73], [153, 215], [21, 97], [0, 44], [54, 98], [13, 71], [4, 68], [2, 80], [64, 121], [0, 46], [7, 59]]; loss = 0.028030 low_pass_filter = 0.300
+Epoch 0: | | 32979/? [5:12:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000train step 32980; scene = ['483a3398bde8d8ff', 'd0d3c21067ff0163', '92e2c39c1b535214', 'c8e877a21e8c48bf', '3bd8b6fc41cb1a82', '42928282597bbae6', '6ab4f1994ae94609', '78571463ec1147d0', '2341163e34fee01b', 'a8d73f79bd0991a2', '812f66c0ca94fcc9', '5df639b6091c31e1', 'e7da078102ea216c', 'ec54d60519d51799', '66c7951015f7b269', '5757c3fde1248166']; context = [[12, 77], [0, 50], [109, 156], [11, 53], [67, 112], [25, 94], [1, 70], [31, 100], [0, 43], [4, 47], [44, 86], [3, 64], [26, 90], [10, 56], [13, 86], [0, 46]]; loss = 0.023208 low_pass_filter = 0.300
+Epoch 0: | | 32989/? [5:12:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 32990; scene = ['319cad73a1293d84', '70101ae04137d94a', 'f200f6fc0ef2ac93', '53e1a1169d514c24', '5304efa4c14d028e', 'd024eef2f34c2301', 'cd42030d0cab71f6', '4d9768fad6824196', 'e26d90451be5dc01', '35cd6603f140d612', '4ea7a2331c46c572', 'b39fb5a378831f09', 'ed9856a72ec8a92f', '8539028ddcf147af', '7036714988a42b40', 'b3565cc29d609e00']; context = [[52, 115], [88, 131], [34, 76], [0, 71], [72, 134], [2, 70], [2, 45], [3, 84], [114, 161], [40, 88], [127, 184], [30, 77], [41, 116], [135, 195], [38, 106], [69, 123]]; loss = 0.024928 low_pass_filter = 0.300
+Epoch 0: | | 32999/? [5:12:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 33000; scene = ['ec55c7f51303baf0', '99d38c0d2241de7f', '20efdeed1a62f8b3', '28b82c62d9737dd8', '55b8fab785f6457f', 'a36f7e2666008f93', '1f12fce2207c3a3c', '34077dc592aea374', 'c081fa859752b467', 'ce7cf400d52e3e52', '550e6ec6a829365d', '8fd200c66376fca6', 'a48dae8d129055b8', '8c600fb7756ce6a6', '9dce90a230b534b1', 'bdf81e6b52b3774e']; context = [[156, 213], [2, 55], [14, 69], [5, 52], [20, 81], [8, 54], [15, 84], [67, 126], [18, 81], [1, 45], [5, 50], [20, 87], [27, 102], [5, 66], [50, 132], [1, 63]]; loss = 0.023306 low_pass_filter = 0.300
+Epoch 0: | | 33000/? [5:12:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000validation step 33000; scene = ['2d3e1349898addb6']; context = [[23, 92]]
+Epoch 0: | | 33009/? [5:12:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 33010; scene = ['f22a9901c2044606', '5d4999bc3890166e', '71cee2cdf48a89d7', 'fb5f51d8b4188c7a', '7297c259c805075a', 'cf93d34812c5075f', 'b2a5bee383cc062d', '405e320c34ff7f81', 'e9b590c6993bcf66', '24b36b96c868b758', 'aa49c506f067e54d', 'a0e4826e71332c71', '58658f7de57fcdf8', '93739f7c17797663', 'ded696beba889e75', '2580a57635d98a36']; context = [[6, 52], [0, 42], [0, 63], [134, 183], [0, 43], [2, 59], [5, 60], [98, 140], [4, 66], [37, 96], [25, 92], [38, 101], [82, 132], [0, 63], [64, 116], [33, 85]]; loss = 0.026770 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 33019/? [5:12:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 33020; scene = ['10e3f0351bfe9b3f', '7950819803c38007', '4268e3a564bff6be', '526648b6db73136f', 'dc147135ffd7390d', '7d7f87066fdddc0d', 'a8342b6ce7bf9fdf', 'fff64f42340c9f92', '700c498d0c459879', 'f1497a3ea4785083', '012f1ee280aa6e08', '481a5415dc213548', 'f646cb850ed823d0', 'a564a6846e90f759', 'b06d31ad3cf3c91f', '9c507b0e969d8f40']; context = [[136, 188], [43, 115], [89, 133], [36, 80], [8, 57], [11, 53], [21, 65], [169, 215], [36, 78], [116, 196], [51, 103], [8, 63], [7, 63], [5, 84], [6, 80], [169, 214]]; loss = 0.026011 low_pass_filter = 0.300
+Epoch 0: | | 33029/? [5:12:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 33030; scene = ['ee9c7c9d5fe157e4', '8d7c8c24c08671f1', '222e3381bee08290', '57afdd7758af79ea', 'ada24df9ce7b6620', '7a4b181114aa411a', 'e6735fa225dd5b00', '497d6e411fb83a99', '44d3e939898e467e', '60f8f090db3aed08', 'd382fd7776f9ec33', '93f64e2b3f286f45', 'c19be054a8a456f5', '91effcea642ad897', 'c544ed479973807f', '55ef7e7acbe84587']; context = [[8, 79], [28, 90], [14, 86], [7, 66], [2, 83], [122, 183], [1, 70], [133, 215], [79, 124], [18, 61], [31, 85], [12, 59], [23, 66], [3, 52], [26, 80], [30, 89]]; loss = 0.026756 low_pass_filter = 0.300
+Epoch 0: | | 33039/? [5:12:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 33040; scene = ['c1785398ae044ecc', '48dd32a0f4a2367b', '010fb4b5e0e37c71', 'fe3e8063136b92e1', '3301c6c4f8324fb7', '92a43963f8d1dc2a', '0a053a2d034f4305', '890e507d5a12b8a8', 'd90f68bab916e8a0', 'db9a067011e8c6a8', '583dfb028aad48a2', '37270249573b5fef', '4baf148b0e465154', '79eaf9a487c5de91', '39ce17d592aa08ff', '8293c91c983ffd04']; context = [[9, 81], [32, 79], [26, 77], [101, 152], [20, 92], [97, 147], [1, 50], [4, 79], [24, 76], [20, 65], [8, 69], [5, 63], [28, 70], [173, 218], [16, 74], [205, 251]]; loss = 0.023585 low_pass_filter = 0.300
+Epoch 0: | | 33049/? [5:13:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 33050; scene = ['337dc31602bf2187', '2c4748f991f7d71b', '6555e9ac69dc14bf', 'a91d501f33a28dc7', '87732cfa339b6202', '2cca4a4cbf45c0d0', 'a832bedba626085d', '92c89cf29ee6c8b8', '84c73e4976f859ef', 'c3919bfa4fe57c63', '137af3bde9d9b5f7', '2e9403daa9e6a49f', 'd802e660adcae582', '5312ab668858f2ab', '9c6dbb44ea9811f4', 'a598bd417ed1330f']; context = [[5, 72], [4, 49], [0, 42], [32, 77], [0, 66], [26, 84], [66, 135], [56, 131], [34, 93], [67, 149], [3, 77], [56, 125], [25, 99], [155, 197], [60, 119], [21, 89]]; loss = 0.028128 low_pass_filter = 0.300
+Epoch 0: | | 33059/? [5:13:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 33060; scene = ['6e34b09401a80bf5', '400775a9888882c9', '89865fbae2d079ef', 'ea9b827d14fea943', '18b21a1183738b21', 'bab59381c6649e73', '7c47ccd4d1a46ddb', 'b551de9f9957b4a1', 'ce1f0239d2998405', '0502fde8917abbf5', '852d166ff2c05a58', '221324859434bdb2', '4608a8fc994d7bdc', '66152520d52aae96', 'f44601f68f76436f', '2dac470361510c78']; context = [[5, 60], [105, 177], [2, 49], [15, 80], [36, 89], [2, 58], [50, 99], [1, 44], [2, 63], [51, 105], [4, 84], [26, 103], [5, 67], [3, 68], [24, 84], [16, 69]]; loss = 0.031015 low_pass_filter = 0.300
+Epoch 0: | | 33069/? [5:13:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 33070; scene = ['adb94948ee8f7112', '49cdc18c361f49a5', '17d10f12b9a17023', '738f847dac8b608e', 'c680b8bae58d6dca', 'ff386ee63e9a5979', 'ce7ced20aa22c2fd', 'd28eddd645b84866', '52b5cc4edac20b1d', '4416aca1509427f1', '1fc20dbf49022bb0', '35f616539109376c', 'c61bdd4a1ef94c75', 'd573d6a8e9eb3c07', '4f3b2263d2a7347a', 'c7a16ca73b5d1a45']; context = [[24, 81], [29, 81], [0, 45], [10, 79], [20, 93], [9, 89], [53, 133], [58, 113], [19, 64], [3, 58], [182, 245], [7, 66], [18, 64], [12, 70], [20, 91], [38, 98]]; loss = 0.027881 low_pass_filter = 0.300
+Epoch 0: | | 33079/? [5:13:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 33080; scene = ['c1695cd6c0995eda', '556394920765324b', '81ad54d5ffb317b8', '785aae46f263749c', 'd9fe6652451a430b', 'f255cb2332e122e3', '1385c61c89fb3dc8', '18b42abc37807ecd', 'c5e52d22a51681f0', 'd756f9034c513c4e', 'd4f76d17144952a6', '6a78d996225de1c3', 'bb27dd7eebf259b0', 'fa8b1c66012605dd', '876bb6275720b3bd', '86af68437f53828c']; context = [[15, 58], [40, 102], [15, 85], [3, 52], [45, 98], [19, 75], [56, 102], [109, 166], [70, 120], [15, 67], [175, 229], [34, 107], [13, 69], [7, 70], [89, 141], [8, 80]]; loss = 0.030054 low_pass_filter = 0.300
+Epoch 0: | | 33089/? [5:13:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 33090; scene = ['31922770533c1af8', '315fee37794761c2', 'c5e288f3b5dba40f', 'd934b35f87276390', 'ea83dfd340855fc5', 'b9b83ef31222c2ee', '09f447a82910d9e2', '51504900fa03f469', '0f4bb16169333817', 'eb3d4493eabc70ac', 'f4f078781be5bf1c', '17d579cd9c3c11c6', '58e75e2b5b11725e', '8230269d5694b850', '46bd6ac81c2ca6bf', '712d4fab4627a65a']; context = [[1, 83], [12, 75], [1, 52], [95, 159], [29, 91], [17, 81], [112, 181], [27, 82], [7, 85], [19, 91], [166, 221], [29, 107], [158, 209], [20, 87], [7, 59], [11, 61]]; loss = 0.027716 low_pass_filter = 0.300
+Epoch 0: | | 33099/? [5:13:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 33100; scene = ['b596171ab2e9e3c4', 'a353c5323b7e0cb6', '1b557a9eebbab147', 'e271ef9f54cdbdef', '8e583ba05f91d104', 'b12fb462071f1eec', 'e5a7abc8fcb39e95', 'f9611b5d473cc69b', 'e67a6379398c3e3d', 'a5b5597f4927d94a', '3b807d242f762c84', '4bbe383499f58733', 'a73f18310fca46ee', '1c309c469ae5fdd4', '0c2de6c5be346d3a', '1218972a2e7215e3']; context = [[15, 70], [18, 82], [63, 139], [13, 64], [61, 125], [1, 66], [10, 72], [84, 140], [11, 85], [51, 125], [32, 96], [0, 52], [19, 89], [55, 119], [9, 81], [9, 70]]; loss = 0.026059 low_pass_filter = 0.300
+Epoch 0: | | 33109/? [5:13:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 33110; scene = ['29d4c936815664ab', '2df2d7c7a4f05e97', 'e70cd0d4dee51c54', '5b97a19bc0a90bae', 'c07ea4ff919e5f92', '06f0d295c0618b29', '61715ff54ffcaa5c', 'ef9c173e09936e3a', '60c2c6de25a0ed1a', 'fffeb0ca5d44676f', '76d9531e2f92d2ba', 'e879de97f064bfb8', '3c7f24cf584b48a7', '4d023ef833623c01', '0e2e11032cffb1c0', 'fdb6fe07b7177854']; context = [[9, 64], [7, 71], [32, 81], [15, 66], [57, 104], [62, 128], [17, 60], [49, 117], [5, 56], [58, 120], [45, 103], [6, 63], [12, 88], [1, 64], [2, 69], [107, 167]]; loss = 0.028048 low_pass_filter = 0.300
+Epoch 0: | | 33119/? [5:13:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 33120; scene = ['fa3459aae14f9fbe', '6306786de63f1537', '7df9941d67654aac', 'cf44c57a316bb7df', '82d3d6fc3f681f9d', '4c212add50c782fc', 'dd8f6e06483856c5', 'b509b83544d44451', '3fba1e83df500eed', '818fb2e314a810cb', '11c1dce651050522', 'bf5dbe3031dbd6ff', 'c349ef13e27da92a', '10c29deb681b55cf', '798554da3b801bfd', '3209d1a9fe4edac3']; context = [[32, 74], [10, 65], [103, 162], [64, 115], [32, 87], [139, 203], [23, 83], [65, 133], [56, 127], [70, 138], [11, 55], [44, 96], [6, 74], [8, 52], [4, 86], [17, 65]]; loss = 0.027327 low_pass_filter = 0.300
+Epoch 0: | | 33129/? [5:13:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 33130; scene = ['1561723b1e3dee87', '3212cf76d090e171', '19895717cfca3666', 'dc10d847a9adeba0', '53d79d4fc887bac7', '54398822fd66f7a9', '8cd8a1cf43faae37', '84778d0188fd2df7', 'bc346df013561de4', '53f305d17c2410a8', 'fa7e7926abc78907', '4e90b5a00ca1a323', 'a0bb40d77cf75dfd', 'a530f041f0c9a958', '2c305d098029d4c6', 'cb656e90448e660e']; context = [[11, 58], [11, 88], [16, 96], [1, 50], [1, 51], [13, 90], [50, 110], [18, 62], [18, 85], [25, 77], [139, 183], [122, 165], [29, 95], [105, 158], [14, 58], [0, 56]]; loss = 0.025911 low_pass_filter = 0.300
+Epoch 0: | | 33139/? [5:13:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 33140; scene = ['5859921034bf353a', '83559529fc525a03', '066f2d93ea35667e', '0c178168a07f84a9', '9890a01b883b8cbe', '4aad3411661af5ec', '0d394b2145abc806', '0d7af179ef2e18a5', '9466d3e7e9958ac5', '838d610035a86531', '932715a7bffbf16b', '099ebecf954ec2ac', 'b5b59e94bd3efd58', 'ca7a3c1692a695f4', '308c2adb6029e878', 'fb1f8c90a89e8d43']; context = [[28, 89], [59, 108], [90, 133], [115, 159], [62, 136], [57, 137], [204, 258], [1, 68], [0, 67], [38, 80], [2, 46], [1, 46], [14, 81], [5, 63], [15, 71], [51, 95]]; loss = 0.031774 low_pass_filter = 0.300
+Epoch 0: | | 33149/? [5:13:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 33150; scene = ['14b48961c5e1364c', 'ef6f624489fffa84', '42cb479c5aabba98', 'eea9a40d34d9e8f3', '1fe3e0dfb0bebffe', 'd1300efa0f9232ac', 'f6a68923ac68bc4a', '249ee6d00a7493be', '27cccdcbcc2a484e', '583428a8466e2418', 'b29d9ccc5a360755', '57fc42ea40ac2adb', '3854ae7e48f9f528', '813a6c5e1123e81b', 'f033b85ca30d272d', '07d1e657a9632324']; context = [[39, 92], [0, 57], [0, 42], [4, 62], [8, 61], [23, 71], [11, 85], [2, 59], [1, 69], [1, 77], [168, 210], [37, 105], [23, 70], [23, 91], [22, 68], [50, 111]]; loss = 0.031840 low_pass_filter = 0.300
+Epoch 0: | | 33159/? [5:14:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 33160; scene = ['3dfc8ac22bab5f07', '5eea935c8a218780', 'fa5834342a26f1a7', '7c7b689f1c4463f4', 'd782aeed17560ed2', 'c15bde67c4d28f80', 'f9a7be1e0104decf', '6f6798d8975dd372', '7f437dc9fea6612d', '84b82a9506bd8483', 'c98a8f34da829645', 'd12d90e1193e38b7', '8cc30a7da032758b', '8985363b7d718a34', 'e33f75937740f4bd', 'c86dbf4a14acee88']; context = [[16, 69], [23, 99], [19, 61], [26, 81], [24, 100], [4, 85], [77, 127], [143, 193], [68, 145], [12, 66], [0, 50], [0, 53], [24, 68], [69, 134], [0, 45], [17, 91]]; loss = 0.027600 low_pass_filter = 0.300
+Epoch 0: | | 33169/? [5:14:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 33170; scene = ['c8d798b5fddf3e82', '5f4855dff1edd516', '701d3ad6c3a3857d', 'c097909e36b59ebe', 'b3c8aa705110b627', '832dbfcfd876215a', 'bb83dfc9326dcece', '3d5757e1469432d0', '6368bc9ee243f179', 'fef9d317e71c3122', 'ab01d8b7ffcd74aa', '5dc77f428548ef6c', 'e701cbe6c42dc34f', '42e4f2d3c3e0772f', '352b202e22235f10', 'd61b2ffb090ab82e']; context = [[89, 168], [3, 78], [39, 121], [8, 77], [13, 76], [23, 68], [132, 196], [77, 157], [170, 214], [84, 138], [3, 80], [12, 61], [4, 65], [148, 202], [1, 46], [77, 123]]; loss = 0.027310 low_pass_filter = 0.300
+Epoch 0: | | 33179/? [5:14:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 33180; scene = ['4afa2fa17e08133a', '43ee1db1e7636662', '554c4773a1d8fa76', '10e801244cd4bcb0', 'e2009c92c7495572', 'ede896927ea91dd6', 'fd6e7e0b1e8f2217', '2434d67e7dedfcb4', '489e61a289f59044', 'a4f8febd2dd51706', 'ca8008cecc227f79', '180480cb22ef0725', '6255ad81d69d712a', '610ec8daa2775e45', 'b5dd6c0b8984c3e1', '072888bb251387c5']; context = [[59, 105], [2, 64], [16, 60], [96, 160], [15, 57], [90, 138], [13, 75], [0, 67], [30, 81], [6, 67], [8, 62], [164, 229], [89, 156], [24, 78], [124, 167], [126, 171]]; loss = 0.024071 low_pass_filter = 0.300
+Epoch 0: | | 33189/? [5:14:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 33190; scene = ['d994b54d0c38f6a5', 'e46908b32babe163', 'c995ce06eef54732', 'd1e1437df8235681', 'b0b66c594bd1ae75', '79b6c278ef761637', 'b737264f3104f28a', 'a3302f8344181353', '2fd9f35c8ac11f0e', 'e423eafb08231cab', '81bb3be1a42ecfac', 'eadfbdb527ea40d6', 'beb77dca75f90444', '105d995e386ac845', '71b229baad9f977b', 'bd61e26c12a344ed']; context = [[8, 80], [7, 50], [3, 76], [20, 82], [77, 124], [0, 53], [30, 84], [14, 85], [127, 199], [0, 66], [36, 112], [2, 73], [2, 75], [5, 73], [151, 204], [108, 160]]; loss = 0.025807 low_pass_filter = 0.300
+Epoch 0: | | 33199/? [5:14:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 33200; scene = ['106fe8209a72148a', '89c3dc5c2b6ca1ab', 'ede486da04ebdc56', 'd1c3b86e61e4b745', 'b7264c9330e22b41', '15592e57716c6463', '1b0e42c4f8fbb88d', '0a91ba693acb65d5', '43f2fea0a0027461', 'a40c454857fdf94c', '57cb1fd49a354fba', '039a82846f63ce27', 'c74c318cbdc27580', '4b7634eee1c5582f', '921a2747f28f1aee', 'fbeb7fe99c10b717']; context = [[128, 196], [38, 86], [88, 170], [4, 56], [7, 59], [1, 47], [0, 69], [52, 117], [71, 132], [5, 84], [141, 207], [2, 59], [33, 75], [30, 92], [2, 65], [12, 92]]; loss = 0.028839 low_pass_filter = 0.300
+Epoch 0: | | 33209/? [5:14:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 33210; scene = ['31c9c7c73f642cf7', '598eb9b46185951c', 'de01308c20eca844', '726f0a3790509b48', 'a34da6e33030e973', '95e0a2399dbc6008', 'f8facf25ebe91f37', '81f004ba91540bed', 'f1242539d1b2a86a', '50ed74eb3943626e', 'f19b7c0f5aa40c31', 'c64ea38f6d3f6b4c', 'ad087a4072f37a50', '1090723b42878041', '53c8ed7e5b5a87b1', 'ee23a3b386446cf6']; context = [[27, 70], [120, 170], [3, 47], [2, 61], [6, 78], [37, 92], [1, 68], [50, 106], [132, 211], [13, 94], [90, 158], [132, 179], [28, 100], [83, 164], [7, 49], [23, 78]]; loss = 0.024565 low_pass_filter = 0.300
+Epoch 0: | | 33219/? [5:14:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 33220; scene = ['15cf3ed7934403d8', '220fa19b554d31e9', 'f556938f650246ca', 'acb8c8353e37d640', 'f0ce42e2f9ea8b48', '3d534c7237d85ccb', 'e6b924c8cd87a7b7', '5fae9c21ebf04523', 'b751e63c5d0ceafb', '975e659085713da1', 'db33b984875ef4d5', '390e456b32e3b7ac', '6c57545257660e6c', 'a1a1232aaf87f494', '71712c08e8ef2a32', '3b3cf18766226dba']; context = [[30, 102], [7, 60], [5, 66], [98, 159], [165, 218], [2, 48], [193, 244], [108, 152], [14, 91], [200, 273], [6, 68], [61, 125], [37, 86], [14, 66], [28, 97], [61, 128]]; loss = 0.031386 low_pass_filter = 0.300
+Epoch 0: | | 33229/? [5:14:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 33230; scene = ['ffda743d376dcde8', 'd81116dc8c96547e', 'c81095ff7cc7034b', 'bf0755be50798d45', '882fdfbe720a3236', 'b45e47d231088428', 'f24b2611ba45a2cf', '9ca80f3ebf759df0', 'b74cd30ef141705d', '8b5d909f93396c54', '380b00a7e0b645f4', '79f5d30c0e4b82d7', 'ce863ce4387b0577', '40df008be4ea5d13', '51a5d8199233c6a5', 'e1cc396ac3f1d23c']; context = [[2, 83], [2, 66], [26, 75], [16, 89], [95, 144], [24, 94], [92, 163], [6, 64], [15, 66], [4, 70], [8, 87], [133, 183], [95, 155], [32, 108], [212, 271], [93, 154]]; loss = 0.047346 low_pass_filter = 0.300
+Epoch 0: | | 33239/? [5:14:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 33240; scene = ['f3ade6c63bc7d4ae', 'bfecf32dfd0f8b4d', '346c571507de5452', '82065e7ce51acd3a', 'a17ad78f3de1747f', '261bdda76d7124cf', '360522a132341bfc', 'ba681e5557b24568', '9d5d32f2e63f94a6', '4b57460bfcb3622c', '07b91d8606616953', '083f6e232345ba29', '6e65795a976312b7', 'db94d811017ceff9', 'e160faecc21bd431', 'e2f8593ab819939c']; context = [[62, 106], [42, 85], [31, 80], [39, 88], [6, 53], [8, 74], [34, 114], [2, 46], [1, 72], [68, 125], [7, 53], [77, 136], [81, 124], [82, 126], [77, 143], [12, 67]]; loss = 0.021472 low_pass_filter = 0.300
+Epoch 0: | | 33249/? [5:14:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 33250; scene = ['3608f1d16a591c54', '3ceafda325ca5d89', 'e0eec6e1d1b30f19', 'a8b78c0dcd5a10dd', '5c0035d7237bf784', '1dae541a36d32e0c', 'b514b294a14bbd20', 'cb8d6f52af9edd41', '9eb21917c21c3605', 'b580a3428b44251a', '17544f453322cca9', '41104f5f61ead9c8', '2a9c1ad6089a1550', '16554229918ea920', 'e2ab13f94d6c8599', '1be98df85c7a1b55']; context = [[147, 202], [63, 117], [66, 126], [2, 45], [47, 123], [19, 86], [17, 79], [16, 89], [39, 105], [112, 176], [0, 48], [16, 73], [12, 94], [17, 86], [0, 45], [19, 75]]; loss = 0.041090 low_pass_filter = 0.300
+Epoch 0: | | 33259/? [5:15:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 33260; scene = ['0524b5ded4a3f9cf', 'feff41b52966068d', 'b781a1d4be7e0dd9', 'c81663c0b5144377', '060f48781c23dbc9', '328a73288962076d', '09f7865faf90c7b7', 'd33060884405fb51', '2bfcaee1e8879c93', '89ffddd7e0050957', '89b7ac85c1dd1efd', '9e40d72fc377071e', '5b9f289a8e65563f', 'ecb259c1db50ec9b', '0eb418885d5c704f', '202890a812df9e8f']; context = [[23, 99], [49, 104], [16, 86], [36, 102], [75, 148], [51, 126], [42, 86], [46, 108], [116, 161], [55, 137], [10, 71], [9, 61], [12, 91], [122, 173], [71, 146], [7, 88]]; loss = 0.026662 low_pass_filter = 0.300
+Epoch 0: | | 33269/? [5:15:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 33270; scene = ['dd4843164414a098', '620c929fd4a8bd4e', 'ab3129359d7c89ef', '4c132551c14e0029', '8ba8dc3c494ca369', '0df5a048d09e63f3', 'dfec9688b2ba99ea', 'd9e16fde003687b8', '4db07c5caae67701', '5e62a890cb5a023a', '84ca721f253dde85', 'a829ffde6c53aa8c', 'a05f322adda6b100', '7cfb911c40da361b', '333d47c166aad666', 'f497c3291a3d7a10']; context = [[46, 121], [62, 104], [188, 268], [48, 118], [4, 77], [35, 90], [1, 76], [52, 112], [187, 267], [195, 259], [222, 272], [0, 52], [0, 45], [8, 77], [5, 48], [60, 120]]; loss = 0.051426 low_pass_filter = 0.300
+Epoch 0: | | 33279/? [5:15:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 33280; scene = ['f92dfbf60b7b8922', 'abeb0ad95aa6fe95', '89328b746d91784c', '03eebf1cb2ee9d03', '6a632c67221be79b', 'bbaa8e8136f8e184', 'ac48c38776ff19b4', 'bdb3557134ca4ed9', '1cde7ff2620f4438', 'ed55991691ca8f5d', '60e4d5baad1d2958', 'c8a7b4a4f4c2a1fd', 'e3126dd6643e2a63', '06ccbb8ea74cfa82', 'd5cd07f5951dae35', 'd9963ae38f556282']; context = [[123, 178], [56, 131], [1, 80], [92, 149], [0, 42], [19, 72], [49, 125], [53, 122], [27, 109], [10, 77], [34, 80], [97, 162], [51, 100], [34, 105], [125, 207], [0, 72]]; loss = 0.025832 low_pass_filter = 0.300
+Epoch 0: | | 33289/? [5:15:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 33290; scene = ['0e0b8f80c06aaf0a', '52bc5e66187ece16', '17bd30519a9a3387', '410d94f29ddaa79c', 'b9518d3dd1f060c7', 'a5f5f9de4e24a755', '760a4c39741f46d4', 'b3abbcb1c46400fe', '9378834edf2b110a', '6452c61ddaaa86ae', '2821faf83e638b87', '74520135ed4d5b46', '98303db8f6edca81', '73e74277063e5ee6', 'a35acc1a9bd7c951', 'a7fb440edd22ab41']; context = [[79, 159], [13, 81], [20, 65], [35, 113], [99, 153], [23, 101], [84, 148], [58, 117], [2, 74], [10, 58], [20, 77], [13, 77], [54, 108], [16, 63], [11, 84], [81, 142]]; loss = 0.025533 low_pass_filter = 0.300
+Epoch 0: | | 33299/? [5:15:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 33300; scene = ['fa3459aae14f9fbe', '41e8dcaf7ef2bf68', 'd9d53f69d4efb835', 'f3177ab889fdfa01', 'dbe6e6e1e66713f0', '0474fbfb616e83f6', '16903e81b5a7dbdf', 'cdaf106684259401', 'b4499342b7209bc9', '173560bc4a7ac463', '4efc6dce317e44fd', 'a95619eea3202e33', '6c466caacbb09d8a', 'e02379524872a73e', '1e2933e7a32d9d90', '39cdd9c86c7c16af']; context = [[77, 159], [45, 127], [90, 158], [220, 271], [85, 148], [4, 78], [0, 56], [11, 57], [1, 66], [0, 43], [51, 116], [20, 67], [0, 42], [28, 79], [113, 172], [30, 100]]; loss = 0.025206 low_pass_filter = 0.300
+Epoch 0: | | 33309/? [5:15:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 33310; scene = ['7f9afb310bcd794e', '8cc3897789fbe321', 'f8600f5570c30ed8', 'ce8e573ae3fb278f', 'a7d1c1b0380e024e', '9afdabbc75f6098b', 'b7395f918497e87e', 'b45e351361e11b7a', '36795c050903f898', '04fb9bbefd68c640', '618c5651f735369b', '3eb6b3f90098d44e', '94d86d8fd8bd3908', '9e16e2db38feb337', 'c9154135faca16c1', '47e15ca04ec95d65']; context = [[1, 69], [22, 100], [198, 275], [7, 54], [16, 73], [45, 116], [39, 86], [186, 235], [80, 123], [2, 76], [6, 52], [88, 137], [36, 101], [27, 94], [4, 63], [10, 74]]; loss = 0.024079 low_pass_filter = 0.300
+Epoch 0: | | 33319/? [5:15:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 33320; scene = ['f26569d1f35138a3', '83dd55551bb380d2', '789e3dd7a059f5d3', '28dfdf09d7e7f141', '42f9555cc5b7f279', 'f2d5fa6533aa8ff8', 'f7f0e9c9bb11a8f8', '095b327d0991f54e', 'a28a3e656cfcfeb7', '5234deee5bf92f77', '7dd60bec52f5cac0', '009ef0283740e7b3', 'a7c9db349b71b80d', 'beeec4c7c0124203', '5800cc8485fe481e', '614c143d4d36e67a']; context = [[14, 95], [31, 99], [3, 85], [99, 145], [6, 82], [96, 154], [3, 52], [229, 278], [71, 137], [96, 161], [51, 120], [8, 52], [46, 92], [84, 136], [8, 50], [201, 248]]; loss = 0.028357 low_pass_filter = 0.300
+Epoch 0: | | 33329/? [5:15:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 33330; scene = ['82052140f174ac58', '958fe0064cdf4fa3', '13fb5d75101de85f', '8d08c7ea1726e42c', '2b6a1efe983fbb21', 'c3c8116aa7b8bd72', '4dc18688d7035c2f', 'e6a4c397f62687e3', 'b3c7ff644ba2c88b', 'fdd482edf0cbd37e', '9a38c7681395953e', '173ec6098bac29fe', '1013958b9d5a57fd', '83fe566272def272', '757c2be20ce6cbb4', '3bb7b286dee65826']; context = [[208, 263], [50, 128], [27, 88], [0, 56], [12, 73], [37, 108], [1, 44], [1, 81], [41, 122], [36, 91], [11, 67], [90, 142], [122, 166], [17, 76], [201, 276], [85, 145]]; loss = 0.027352 low_pass_filter = 0.300
+Epoch 0: | | 33339/? [5:15:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 33340; scene = ['8663a913aa496524', '9a459290fa63b082', '6d152b36a2c6b3a0', 'eb11a3065fa51c18', '2c5110884efb7b8e', '2248dfd686c001dd', 'ca894ae64063abe9', '2534607529c2b18f', '271e98f377d9979a', '0c6a2ce61c921520', 'cba7a7869de72700', '3a394bb7b1240d9f', '9575639b887c61b5', 'ab96d082e3ebc5f3', 'bab59381c6649e73', 'ce1f0239d2998405']; context = [[88, 133], [50, 105], [1, 71], [35, 105], [4, 50], [33, 87], [117, 180], [60, 142], [109, 151], [27, 79], [2, 74], [205, 251], [27, 109], [127, 205], [0, 48], [11, 67]]; loss = 0.025539 low_pass_filter = 0.300
+Epoch 0: | | 33349/? [5:15:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 33350; scene = ['ac8b3ea31c649bf0', '5197f4fc56c524cb', 'd422e6d19f76b87b', '082c89448fae34bb', 'af4ee662141b52e9', 'dbbbe61aa0ab4db0', 'f9db85111bbb3505', '62c9128dc359e7cd', '925366056b9f0d2c', 'af94791fa8bfc36e', '026b06ae517a3415', 'adade3f3c67639ab', '045a6a385f09e6f3', '7ed3419c7717bd7a', 'bb4b0c18a7a64c44', '9f390d2b297ecad6']; context = [[51, 125], [51, 94], [190, 235], [115, 192], [0, 42], [29, 109], [13, 60], [7, 51], [2, 61], [2, 72], [37, 115], [26, 108], [14, 70], [44, 87], [9, 70], [199, 249]]; loss = 0.026739 low_pass_filter = 0.300
+Epoch 0: | | 33359/? [5:15:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 33360; scene = ['aea116811766749a', '7fd3d476aa6aef4e', '9700e1ed86283bf5', '420a8a0e49338cd3', 'aed4ab886e0a61fd', 'cbfbe5dbbd67b665', '56ee1e154f94be42', 'ed6a7c0d24b57a50', 'f0f1856684aa6f41', '5ded278c1683c103', '83092ea7d7a9f842', 'd7903991af942879', 'e382974068595e36', 'dc5b8a1244a5d75a', '1c8182e508006626', '5a3ef807cc4e6415']; context = [[15, 93], [72, 124], [0, 62], [78, 130], [40, 112], [3, 62], [17, 70], [196, 272], [11, 82], [6, 69], [54, 134], [94, 175], [4, 86], [17, 92], [32, 93], [1, 73]]; loss = 0.056886 low_pass_filter = 0.300
+Epoch 0: | | 33369/? [5:16:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 33370; scene = ['8d5e57e2ba2c0ca5', 'ffa9716058d530eb', 'a5d99c0cc0020b1f', 'e5055d4057f8f9bc', '3ae9fa065ce202ba', '5bbaacbbd512b476', '59533641941829e5', '8ab89c28abec88c9', 'fd2eb22dfc973a75', '0b2967b4f7e897ec', '8c9a1857ae2de88f', '69c56895f9cd7d39', 'c02e332cd10f31a9', '7e20c0ec657b9108', 'd525f6bb65c65f2e', '04e324ecc5853826']; context = [[45, 126], [104, 147], [9, 73], [136, 180], [71, 146], [11, 85], [122, 183], [36, 108], [51, 109], [19, 93], [23, 70], [172, 220], [23, 94], [0, 45], [4, 51], [2, 83]]; loss = 0.030413 low_pass_filter = 0.300
+Epoch 0: | | 33379/? [5:16:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 33380; scene = ['5b589353ddc3bf10', 'b22c25c5adcf4d54', '10b6ddd1f8a0ff5e', '22769a18f32b28b9', '92183de07c13c62b', '318741d1904d9cd4', '6eaa3fb570204dc7', '5eaa327da5e98d9e', '78db410dbb8202fe', '0b11c4c2d21a4f1b', 'a7c454119cd0c84f', '4078b0e80e1d4b3e', '790324d13c5db809', '54c2ffb9b031aa12', '38b83c7b78639e3f', 'b03141d1d2429dcc']; context = [[2, 67], [152, 211], [37, 96], [3, 60], [69, 115], [7, 57], [0, 44], [0, 52], [85, 131], [38, 113], [195, 260], [28, 87], [30, 92], [144, 204], [44, 104], [24, 71]]; loss = 0.044594 low_pass_filter = 0.300
+Epoch 0: | | 33389/? [5:16:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 33390; scene = ['bf5a6bd863756946', '5f2354a67645df18', '332a9eab3d114cf3', '3408234022293761', 'a37fb46545b26cd2', '6ddbbeea20a3c44a', 'af1881dd0b381614', '4fbd23abbcf605bc', 'e5beecca12b7d4da', '3aed1da2c9d08372', '9d4d381edb4d8429', '72295ce90bee7aa7', 'e9f90329d3a221ee', '2e8308c62f9f9d3e', '017db3179b9acc0e', 'f8be016e9da13a3e']; context = [[1, 44], [100, 182], [1, 63], [22, 75], [7, 53], [3, 56], [38, 99], [104, 164], [37, 112], [5, 85], [28, 96], [26, 68], [12, 56], [24, 66], [74, 151], [166, 240]]; loss = 0.027982 low_pass_filter = 0.300
+Epoch 0: | | 33399/? [5:16:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 33400; scene = ['561ec929b559f44d', 'a90af48eb51bc004', 'f161b9ffac652421', '5e4bf45a027dab4c', 'add6967a91485c9b', 'af989050871d3063', '261e55c323a2b196', '37c752b388ea0d16', '1d0db89d39191516', 'ea7648c11d71d569', '31be225a56177487', 'fdd5a412245006ab', '695a744c7eb7c26e', '0171fad21c2da68d', 'e40c1441aec53a72', '569b4f2bbd5ca97d']; context = [[44, 112], [170, 226], [15, 97], [185, 235], [6, 73], [21, 80], [96, 174], [4, 70], [33, 103], [0, 46], [6, 87], [76, 145], [4, 78], [24, 84], [38, 80], [82, 142]]; loss = 0.026930 low_pass_filter = 0.300
+Epoch 0: | | 33409/? [5:16:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 33410; scene = ['ceacb09798597135', '2784199015a0b111', '651108e0cb3fc225', 'ee29d5fe76ce2524', '19b3dcdb5298d93e', '2b7e5652a1a7cfa8', '9b55210b36c9539a', 'dd9a17d0096c2303', '953260b64d3ddf51', 'bb503977aa5aecb7', '38dfa3cb46d88c71', '14d3cda4c1be55ed', '5224582141df0ed9', '410deefce9809696', 'd5298f0109a44e82', 'de4a96ffa11a29bf']; context = [[152, 220], [2, 53], [100, 146], [56, 124], [3, 64], [85, 133], [41, 95], [4, 79], [0, 64], [65, 110], [6, 52], [50, 116], [5, 57], [5, 54], [66, 146], [41, 100]]; loss = 0.073871 low_pass_filter = 0.300
+Epoch 0: | | 33419/? [5:16:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 33420; scene = ['ea357cfdb1ebe90d', 'bd2dcb0a4d2b8645', '4414c58676c9952a', '274fa63f8728b73b', '32d7ff686f72221e', '0befde1c678b05de', '506d1a24243d0c56', 'a4c5e65a8a1fba1a', 'c2b88667c45d9508', 'fa5873dc99dfde1d', 'd3e9fb196b944937', '0a178d6a8d53c07e', '43017fb4aed6625f', 'ffadc5456128c7f5', '16e6f88a12ca1a9b', '0895217c1d75fc75']; context = [[20, 97], [126, 184], [159, 237], [21, 69], [17, 63], [2, 45], [91, 143], [194, 246], [72, 134], [0, 52], [117, 184], [2, 48], [45, 92], [5, 59], [2, 70], [175, 247]]; loss = 0.021270 low_pass_filter = 0.300
+Epoch 0: | | 33429/? [5:16:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 33430; scene = ['d013dfb68f701a1a', 'eead71c22d5913d7', 'd360e4ad7de88071', 'a24365e23632fdec', 'd12502ac93ae80d5', '12888588515acac9', '8e24d300a6d2e767', '9a7b5d280d58af92', '4436792afd7385fb', 'f4476a9d4e1ac320', '08e3a573008a2c6b', '11f8143fed4a7bd0', '2cc2aeefc2ed77d1', '836fa68e739da13b', 'bb3d43e57b5dff80', '7ec8e2c63918d288']; context = [[12, 80], [56, 115], [1, 43], [60, 122], [4, 73], [16, 80], [100, 144], [12, 69], [69, 121], [4, 71], [13, 76], [222, 273], [42, 84], [5, 71], [80, 144], [80, 133]]; loss = 0.027440 low_pass_filter = 0.300
+Epoch 0: | | 33439/? [5:16:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 33440; scene = ['2572d5318c4a894c', 'b1960a647463572d', 'f5b005cd4438e2c6', '133df6db7dd9dab1', '24e2d1df4ded73d6', '3308f38305b81cbe', '868ff2e3f4d67849', 'e6b9870c1dc02f8d', 'e54340dc6d0ff20c', 'e29aacf03cf0a476', '55bc5c2ac085ff36', 'fba66650318c0534', '65d8a439ddbae342', '98a0969d2e61aabe', '775eeabe0a3a5d16', 'd2739cd7ec4f2ac9']; context = [[6, 52], [2, 69], [14, 79], [153, 217], [40, 83], [156, 217], [102, 170], [14, 66], [30, 84], [147, 191], [7, 58], [1, 65], [11, 66], [30, 73], [11, 71], [139, 211]]; loss = 0.028221 low_pass_filter = 0.300
+Epoch 0: | | 33449/? [5:16:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 33450; scene = ['72a14401b43b8331', '36b7a7b6d4f3e005', '1dc1e640b33ca268', '9ea0fdf572a31a45', '21c78c4ca6f54165', 'b7707f9169cfbfd7', '01f44320dba08f92', '2a6060b83b5b422d', '6d484dee4f0c6961', '5fc9e60c271b9a16', 'c88d7508d0194c57', 'ecbe588b1196e1de', '68276e0a2210a4c6', 'c23f64688bd5832c', 'a224062b7b93cb03', 'c4bdccc08c477c83']; context = [[42, 99], [16, 79], [28, 109], [5, 58], [11, 61], [93, 141], [94, 168], [100, 166], [8, 60], [21, 64], [100, 145], [17, 95], [116, 159], [10, 70], [44, 113], [39, 105]]; loss = 0.023429 low_pass_filter = 0.300
+Epoch 0: | | 33459/? [5:16:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 33460; scene = ['7cbf9883cb0c72d8', '7245e11c64786906', 'da0680ede2d63536', '88e9a2681f097a0a', 'c88763918c3b5bdc', 'ddc7cb426ce19857', 'bcb3fe11e61b8b2a', '01a6450c530ee399', '25a58d36fa78c387', '119e7ca7b87cbde3', 'ff5c14fe7d64c752', '3565e580c537c111', '74e586f3a110c76e', '50cdec1a4d15c162', '6b7ee8870d787967', '797430d383cf7e24']; context = [[26, 100], [61, 106], [8, 70], [19, 66], [136, 210], [68, 113], [62, 132], [32, 83], [12, 91], [52, 118], [112, 168], [7, 73], [12, 75], [4, 65], [50, 126], [136, 180]]; loss = 0.026274 low_pass_filter = 0.300
+Epoch 0: | | 33469/? [5:16:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 33470; scene = ['98a1924100186241', '8897ca4aaa904a14', 'e310d39b3b13542e', 'd426c64fa2b71ff8', 'bfaddc0e4ccfe12d', '1c32325abe22ac6f', 'f47ce554c1100cc0', '2b5e6d0ebc0b794d', 'e83f2a56d8c098e2', '12e15379b5d12957', '28d2f24cc7e2fccb', 'ad6382d589e53358', 'd68565483c9b4696', 'c7329bdb7df9f49e', 'e167c9e3a4ac3ddf', '0f72af29e689aa51']; context = [[88, 156], [1, 73], [0, 51], [0, 70], [168, 222], [14, 65], [111, 174], [20, 73], [43, 107], [6, 72], [14, 71], [40, 92], [19, 92], [19, 62], [121, 168], [78, 158]]; loss = 0.030854 low_pass_filter = 0.300
+Epoch 0: | | 33479/? [5:17:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 33480; scene = ['a89692d834adee1b', '693d2a2502b82380', 'c204e3171d16e39e', '0aad9b814aac4db8', 'b08d85cdcc4a4598', 'a16b0c66cd110882', '5bf15bd410312ae3', '87bf99d0c4839542', '4f09a928fbee28d3', '323fa8deac25071a', 'f155cca8dd2a8cc1', '8a97f4f0954bda5b', '003a243e0d37b315', '5b6fad04865aa615', '9d812fb06c8d197e', '9972e3c21d9e2447']; context = [[0, 79], [20, 83], [43, 109], [159, 221], [1, 56], [33, 106], [6, 51], [120, 169], [20, 90], [55, 116], [116, 197], [1, 79], [33, 79], [66, 137], [16, 81], [179, 243]]; loss = 0.023188 low_pass_filter = 0.300
+Epoch 0: | | 33489/? [5:17:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 33490; scene = ['51c0bebabb18c410', '7515dca6e9b2660e', '60fb060caf4e0c64', '822b566d24b29fb8', '93b947809d5bb994', '19bda55893b8fe34', '77cb8d2a58fcc095', '6ec99924a97ed7f5', 'd3c976525f0a1ba4', '85e72acb202e93c4', '66d4652ef890ce52', 'eb7fb058c14b7c07', '232eeca687ce1f7e', '7effa2a1152eb398', 'c60a05da5a4c0816', '4ff83ab9e59ad015']; context = [[6, 50], [106, 167], [57, 130], [28, 105], [136, 215], [16, 70], [8, 53], [0, 80], [7, 58], [96, 170], [1, 67], [3, 63], [7, 52], [32, 90], [33, 91], [40, 86]]; loss = 0.028267 low_pass_filter = 0.300
+Epoch 0: | | 33499/? [5:17:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 33500; scene = ['de4a96ffa11a29bf', '14d3cda4c1be55ed', '9b55210b36c9539a', 'b5283305f2e4d1d3', '964f6528722e8daa', '9d42e78d972987d8', '41ebff1627e201c6', 'c206fa909b93641d', 'cf54dbbf8815ad08', 'ef91c7c5959f3908', '55ec725ee0048c96', 'd1dcda2d415bbd91', 'd347cb2bab5996e6', '89f434159557854d', '4ed0cf754fc4454b', '223e2c052f914311']; context = [[36, 99], [86, 163], [21, 93], [17, 81], [31, 95], [128, 208], [21, 88], [45, 124], [10, 55], [95, 174], [65, 146], [37, 89], [11, 62], [16, 82], [26, 94], [6, 67]]; loss = 0.029445 low_pass_filter = 0.300
+Epoch 0: | | 33509/? [5:17:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 33510; scene = ['8ea7ceeafb6748e5', '4a20c466e50b402b', '9805373c2288a1dd', '1ed35ac17e62e112', '7a01f2fd6c6a119a', '0845841350913fc1', 'ee3298a5cd65a31e', '82c480b92e7f291d', '1401a2ebe30f8654', '7ad3231c24e827b9', '3f80d145e396a258', '7674a792dc7d4813', 'b4ffa1f6d55b36d5', 'f680164af3370245', '694b55576cadcfc0', 'b0442470142e211b']; context = [[84, 132], [23, 80], [0, 74], [0, 82], [39, 109], [92, 154], [6, 87], [10, 68], [6, 83], [89, 144], [44, 121], [1, 67], [33, 84], [21, 69], [1, 84], [20, 100]]; loss = 0.071935 low_pass_filter = 0.300
+Epoch 0: | | 33519/? [5:17:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 33520; scene = ['2f455705d2c96e66', '19531ca5571412d5', 'dbcbfa5009d3737f', 'b35ba634bd470e72', '084f8992d2c9e1da', 'ff737e3512d90ce0', '5614d74255c9c07c', 'ad777fcda1913f22', '61e0b3f6e588449a', 'b1b01c4928847afa', 'ea50226e563fa18f', '62b4841181d253e7', '599744efab33bc17', '5a964083e77ad70a', '0154f63a41517d47', 'bd4dc5d69a124ae4']; context = [[137, 185], [79, 132], [0, 45], [10, 68], [30, 83], [60, 135], [43, 107], [12, 89], [1, 48], [162, 205], [0, 43], [19, 72], [94, 147], [72, 114], [115, 197], [9, 73]]; loss = 0.024716 low_pass_filter = 0.300
+Epoch 0: | | 33529/? [5:17:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 33530; scene = ['9c8286c401c0466a', '0cba14315813f701', 'f80be392fd0df3ea', '943ef50bba764f64', 'ca54e98bf836370d', '2e7e83f0936f48ed', 'd1adbcd382e291e2', 'e96cb36ba03824cc', 'cdfa2ba7d2ed2047', 'bce74d743b6fdc0e', 'bc0416bb78a802ee', 'b17ef7cf07069daf', 'fd2445087b521bed', '049445c627d6850b', '8ffdc96ba9272c33', 'f73c3fd388f4b5e9']; context = [[1, 62], [98, 152], [4, 55], [88, 139], [141, 184], [87, 167], [69, 115], [97, 158], [3, 57], [56, 99], [8, 70], [11, 71], [3, 61], [68, 147], [29, 81], [1, 72]]; loss = 0.023278 low_pass_filter = 0.300
+Epoch 0: | | 33539/? [5:17:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 33540; scene = ['e0f1516dff86e499', '4f4b62095d035442', '76117833d0b00459', 'f1f2ab311bf11cce', 'd407e9cd865ce4a0', 'e5ae5d0cde455edf', '73918a89fd11ca1e', 'f32902b7f5e0045a', 'a4e81cb1ef33e750', '4dea6d53165f9c96', '24052f7618e5b23e', '6bacd75a12a4a79c', '064ba7c987abafd2', '0784b8d4f7f9bfa3', '8e30d1edd7e8519f', 'bc787d93d069b4e8']; context = [[41, 87], [29, 74], [0, 42], [130, 201], [22, 66], [145, 206], [48, 96], [5, 57], [5, 50], [20, 63], [135, 205], [30, 97], [45, 110], [97, 140], [95, 168], [1, 70]]; loss = 0.023779 low_pass_filter = 0.300
+Epoch 0: | | 33549/? [5:17:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 33550; scene = ['f88537148e14c641', '2aa5eafe7aa3e914', '7594ad9770a88e0f', '3c52bbe20a514f48', '1d58a359467ff24f', '1dfec4dc823cab8a', 'c7ed76ffbf949aa7', 'bdebc0ac44b0d725', 'ba3e38a071a523f0', 'c48ef8fab1483416', '352d2bdc1900b5e0', 'd839570bb3e08409', '066c3b89b421713c', '64d8643c793e4826', '5a02f56f8414e61b', '38cc781095a4cf06']; context = [[6, 67], [105, 180], [6, 86], [0, 67], [80, 157], [150, 225], [5, 74], [79, 134], [26, 83], [2, 82], [12, 62], [33, 96], [64, 115], [141, 187], [3, 57], [7, 49]]; loss = 0.026988 low_pass_filter = 0.300
+Epoch 0: | | 33559/? [5:17:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 33560; scene = ['38a818f1e211f86d', '4e298abe7e304bce', 'abbae5cbecebdc76', 'c3ef99c82bc185e7', '4561c06d33f28c85', '564a9a401e37c50b', '13521f3d950ae7c3', 'b29eef78e1972562', 'df869fb963216261', '58c71daec1b86e20', '1bdd8065417690d3', '53e05632cb9141bd', '4146c9cce23a9a8b', 'a57232a4ef2ec923', '086af5ca29f293a7', 'f1fee73a9b341480']; context = [[16, 91], [192, 247], [159, 225], [28, 89], [48, 94], [15, 67], [3, 74], [175, 230], [19, 74], [57, 134], [19, 96], [18, 65], [184, 233], [146, 188], [39, 110], [16, 73]]; loss = 0.025324 low_pass_filter = 0.300
+Epoch 0: | | 33569/? [5:17:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 33570; scene = ['947e933cea84f908', '0d1cbe0e0f794a01', '3eba72d0bf6d4ab2', '2719b9796ee025aa', '00980329a3221f1c', 'f7049958f65a5e49', '6f3fb517d1798d03', 'cd0794502b8203f9', '6ca890904770aebb', 'e923507f19f5cfba', '7544731be485052b', '81c8fbde888c820b', '009700fcc49fe368', '593538382d2dc847', '8b52d8f5da192534', 'b6d06e505b0cbe3e']; context = [[118, 188], [117, 176], [4, 73], [105, 153], [11, 67], [23, 102], [2, 52], [2, 73], [191, 247], [2, 61], [15, 65], [64, 139], [21, 100], [5, 77], [49, 119], [56, 122]]; loss = 0.025795 low_pass_filter = 0.300
+Epoch 0: | | 33579/? [5:18:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 33580; scene = ['ff2333bce3662cbc', '6598c4db67d3f87e', '80acbea9c3850c4c', '7a25f6222cff4aac', '30512795ac2bb625', 'e50cab8f6d9117b7', '45fb1347cd3a5eff', '7a37989147703fe6', 'f446313cb440ed1e', '9010748f8cfe88b9', '8053ed847b0af4a1', 'd3632550fa9e2ebd', '5e027a4bea7f4724', '24887d4b62338558', 'f689c2aa8c701b90', '289685420c8f68da']; context = [[6, 64], [179, 242], [7, 63], [5, 66], [168, 213], [3, 75], [160, 218], [97, 173], [28, 73], [7, 74], [36, 86], [11, 64], [28, 98], [96, 175], [0, 64], [6, 72]]; loss = 0.028458 low_pass_filter = 0.300
+Epoch 0: | | 33589/? [5:18:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 33590; scene = ['262e8b8dcef4d739', 'ac168a8c9e0e39fb', 'b996b08a423681d8', 'b91de0372ce2d269', 'd49cf9b73b9e4e33', 'fb556c16e9fd3894', '7384805913eff0e8', '7c0a941ded05e96f', '1f76424253e03678', '450e183660bd3aee', '17e3ffa593ceb79e', '8fdb315ef82a2d99', '2dd4d2a252e34405', '86d9acf576d8ec0b', '83c9baf5bbc941ee', '36846d6fa22bba62']; context = [[45, 99], [13, 80], [1, 82], [0, 72], [4, 46], [56, 110], [0, 74], [109, 181], [141, 222], [18, 89], [2, 48], [51, 130], [33, 79], [80, 146], [110, 166], [3, 58]]; loss = 0.032533 low_pass_filter = 0.300
+Epoch 0: | | 33599/? [5:18:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 33600; scene = ['afde61f51906fc5b', 'add63edd0fc1cba7', '32180fdde0a2f217', 'b35e13c7d602603d', '02d8bb7d9a697e4b', '337f55eb7d340c6c', '87e15183ad6df63d', 'efd0fc40e46dcabd', '51166927e65a7bb4', '721db478d9515f86', 'cb5f6c0661ca22c9', '99a479337d304313', '9284360e57fe697f', '4465d9c64a7e061a', '9103445c2aaf7c72', '980d5be5c42288d8']; context = [[59, 127], [129, 212], [41, 98], [14, 69], [30, 111], [5, 62], [16, 82], [34, 106], [22, 95], [5, 86], [27, 104], [12, 55], [21, 71], [7, 82], [8, 73], [127, 173]]; loss = 0.022707 low_pass_filter = 0.300
+Epoch 0: | | 33609/? [5:18:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 33610; scene = ['00c7f4d292a58bd3', '24aa7d35a296bf5b', '3494d1f46ae280ce', '6a1c56504c0bb47f', '79cb5fc3ee21d2a3', '6dd17de596dae3be', 'f01f0f602cf82f5b', '6f9de440653bb88a', '7a93a1f75a9636ca', 'a0792de6d36408c4', '17d3a16e71d99061', '5201b074adcc1957', '43efc8210bf1153e', '3a5a38a182b82f99', '70b2f221ecf229c0', '4530113d1d7f71db']; context = [[7, 80], [25, 96], [28, 100], [65, 122], [133, 200], [137, 207], [8, 90], [15, 75], [41, 98], [25, 72], [29, 72], [61, 107], [7, 59], [16, 90], [6, 48], [4, 61]]; loss = 0.027500 low_pass_filter = 0.300
+Epoch 0: | | 33619/? [5:18:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 33620; scene = ['6a11871c9643bd79', 'e72abbc2e978475b', '2b85a6b46f2ea8de', 'c03584d560ed0694', '4a8762d88f3bf6c1', 'ab2680bf91942e23', '759e3ce6b1697e24', '2669ec280a58317e', 'dc687c6a52dcaa7d', 'eea357830462376e', '5c83dfc8f9ab44fa', '46eccfae1e09e577', 'd70ca840b3c5aec9', '9ae014f2de2a2789', 'a51924de0664b468', '0f0be0623083a2af']; context = [[14, 84], [25, 68], [7, 72], [27, 77], [113, 181], [84, 141], [133, 212], [28, 88], [3, 47], [6, 80], [21, 76], [128, 194], [144, 215], [10, 72], [12, 82], [20, 100]]; loss = 0.023907 low_pass_filter = 0.300
+Epoch 0: | | 33629/? [5:18:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 33630; scene = ['459690a341c549db', '0ff852b74d9a7557', '934acea523f11875', 'fc44ec58e01708cd', 'd196dc894157ca53', 'fa114cb02b25cf9c', '5108afe9f18fa9ed', 'f0c1455efb8d4272', '0da66e0b84245e9a', '4e63d66b5be95f86', '1b05efe10364c018', '0d58b951f36e525e', '51906f14ac9f95c4', 'f86cf6a67566bbee', 'b095acdded6e47d1', '83689b78310fab98']; context = [[119, 186], [96, 156], [6, 56], [19, 76], [62, 107], [11, 54], [28, 82], [0, 45], [34, 98], [2, 47], [45, 116], [32, 103], [17, 86], [26, 89], [92, 139], [28, 77]]; loss = 0.022617 low_pass_filter = 0.300
+Epoch 0: | | 33639/? [5:18:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 33640; scene = ['de9083d38b03fd46', 'f3e22bd30457802b', '8c2067631995309f', '895cdbd2d21c3d05', 'f75167ab4259531e', '0823531fac97d9c8', 'ed301ea795ca2156', 'bf7e0756f7e60574', '240b8f2b7b0b80e6', '2f2219164c52bbe0', '87e89709bc88630e', '9b7612cf5dd4b8c5', 'ed2c7aace887364b', '0d6e74470896232a', 'd02b197edbb79d35', '61332cebfe33da87']; context = [[0, 64], [1, 81], [46, 101], [128, 196], [13, 82], [65, 129], [1, 48], [43, 107], [4, 84], [14, 64], [1, 72], [66, 112], [66, 133], [0, 68], [184, 246], [142, 220]]; loss = 0.033909 low_pass_filter = 0.300
+Epoch 0: | | 33649/? [5:18:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 33650; scene = ['5058a979977a4184', '94662e1320792336', 'd310ae67e900586d', '3e10a47a93c8fef0', '44d8cb6fbc7d70cd', 'e390cddc191190ef', '085190d797be02a9', '59645825f18fbe9d', '1c24b3c0983d6d66', 'c2e7a81ba3a9dad6', '75d2d730966efbe5', 'ca647128fec496b6', '76ce9bd95ed81200', 'aff3adf77641ddcb', '9d8fce11475b16c8', '18061c7463438d89']; context = [[42, 97], [4, 72], [35, 85], [62, 127], [98, 143], [6, 89], [7, 78], [53, 101], [201, 266], [12, 64], [59, 132], [63, 121], [45, 91], [48, 126], [11, 62], [14, 80]]; loss = 0.023809 low_pass_filter = 0.300
+Epoch 0: | | 33659/? [5:18:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 33660; scene = ['c792e7bbaa1e7edd', 'bbf6e68d193c39cd', '1c574a0a214c7b60', '6d55c2c63ca27b57', 'f7f53a9d54d4098f', 'c6b4ee182a0c8f70', '155507e6c573ea0f', 'df3ab587bd731a9a', '08b7f061e79af09a', '28edd0fc4cc7a93e', 'f873485ea901f0aa', 'dde08cbd97dc236f', '841ee91a0c838e80', '30bce8b8eff608f4', '12443a11c95102c3', 'b9d775a543d2f100']; context = [[205, 262], [73, 152], [2, 77], [17, 64], [1, 69], [50, 106], [119, 168], [127, 179], [24, 84], [19, 75], [5, 81], [69, 148], [67, 114], [21, 70], [0, 45], [3, 59]]; loss = 0.030061 low_pass_filter = 0.300
+Epoch 0: | | 33669/? [5:18:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 33670; scene = ['59f044f15cfc9069', '0b9ed52adb641450', '3a6ad27ec85f4a92', 'b7006bcf65234db8', '79b558e7de32d04b', 'e5328e7818e3e14d', 'a6a3c4ea1adc0a50', '4f5bb37252882a4e', '7a96795256185ae0', '8ace2dc308ef63df', '93a8e624d2dfea7d', '82cdd6ac972ce6ba', 'f16491b0e65a0f22', 'cf43132b650cce0d', '7790737b3e799a4d', '284ba5ed02b6557c']; context = [[52, 124], [14, 87], [40, 94], [25, 108], [125, 184], [6, 88], [50, 123], [9, 51], [68, 112], [31, 77], [18, 87], [0, 83], [2, 56], [77, 124], [30, 73], [1, 84]]; loss = 0.073746 low_pass_filter = 0.300
+Epoch 0: | | 33679/? [5:18:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 33680; scene = ['56de90d301aa635d', 'ce382282a7179a08', 'c5db95d0db99e5f2', 'b723ebcc4b3a7894', '3a57d0ca627205cc', '0b61e5cda871bfcb', '0143864395cecb80', 'f08a49f7e35dd20c', 'b3a97d27c519cdea', 'afb2a56969dfeb12', '853c7eebbeca0d3c', '9aaff40d2f0278f0', '5244fc9d5e9e355b', 'dde8845ccf64c76f', 'd50420b20607f2de', 'c7eb5da11af412d6']; context = [[58, 130], [12, 68], [67, 126], [76, 119], [0, 49], [0, 74], [28, 78], [39, 90], [0, 42], [30, 104], [9, 66], [1, 44], [3, 83], [20, 84], [4, 55], [84, 130]]; loss = 0.029995 low_pass_filter = 0.300
+Epoch 0: | | 33689/? [5:19:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 33690; scene = ['db21d3ab55c463d4', '8c0bdc962f9677d4', '65ed01304acdce43', 'c396afc17225aed4', '6d32afee308e48bb', '137e555b5477036a', 'e0e3950337490cec', '618567fd6a77f656', 'f1066afe8efd425c', '481bc28cf74dc03a', 'c13693eff6eb0796', '21441ce339017578', '9ed19d5506da8047', '7629b9492036f956', '3e35d64c3de4d110', '7fec6b8b738c23ee']; context = [[20, 88], [22, 72], [3, 49], [23, 93], [11, 56], [27, 108], [0, 48], [91, 150], [57, 106], [61, 130], [26, 73], [83, 151], [9, 85], [5, 65], [68, 147], [61, 143]]; loss = 0.025405 low_pass_filter = 0.300
+Epoch 0: | | 33699/? [5:19:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 33700; scene = ['c27f30b71f9279fc', 'c12fac3629f20e64', 'df2160a1c74477b6', '16d3bee1ca19a1f3', 'c138045400b089a8', 'e2057c3395c0235f', '064f86a52bb038ef', '76102a284ac733bd', '1d610e7d3d756ca4', '3b93d15c3121c2b7', 'b58ebbe9b137ac08', '476031f93fd173b0', 'e2055fd77da8871b', 'ffae0c358d55ccd6', '55887fb50e8e3b55', 'b6699f4d039a5b06']; context = [[2, 71], [166, 223], [8, 55], [0, 62], [23, 77], [2, 66], [5, 47], [40, 116], [45, 91], [129, 177], [108, 153], [25, 77], [83, 154], [15, 74], [2, 63], [10, 58]]; loss = 0.027271 low_pass_filter = 0.300
+Epoch 0: | | 33709/? [5:19:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000train step 33710; scene = ['f31c5a6b9ad29f74', 'd05fc17864e05a2c', 'f85c2b6f5a310fdc', '0800ddaabe7ceda1', 'bfba118281ee21ad', 'cfc32ddc6f4ebfa1', 'cfd0874da7e13ec4', '9739a6fad4b28ac6', 'd89902a23855e483', '60f02dbad72bb13a', '77ff8c06da2d057a', '81a468d3d0771bd4', '6ede7a3926290779', '564f2112de1a31e6', '6c57ac55cbade318', 'abda7c79ca34c2f8']; context = [[80, 149], [96, 139], [68, 138], [3, 58], [132, 201], [6, 80], [0, 47], [118, 182], [70, 130], [35, 113], [22, 86], [4, 69], [24, 69], [1, 83], [4, 48], [1, 47]]; loss = 0.022915 low_pass_filter = 0.300
+Epoch 0: | | 33719/? [5:19:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 33720; scene = ['3e0232925959536b', 'c70e8c5846b50b54', '153774d1b308ca71', '9c6afc23093a8433', '4b612eca55fc46fe', 'c30ef91c3a2d1a41', '7e0a4040418d94bb', '8c8903dd71f96459', '4683fc2de32acba7', '67ece8689909e1d2', 'c175666a466f77e1', 'a3bfa543314a0068', 'fac67aa77bcafd10', '8e512604f4c371de', '5dbc01d2068573f5', '9e628a03deba8464']; context = [[53, 98], [71, 133], [3, 48], [1, 63], [76, 138], [14, 57], [46, 114], [2, 84], [200, 254], [90, 167], [3, 78], [23, 93], [6, 65], [169, 222], [73, 147], [6, 50]]; loss = 0.026809 low_pass_filter = 0.300
+Epoch 0: | | 33729/? [5:19:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 33730; scene = ['bc67341c31098cca', '4748fe2cb767550f', '9131db90d0d6a335', '49fd72b56adf9337', '4e9777ce94f7ff22', '099e1ee28f91b5be', 'a060b2c8c0b177f2', 'dbdb7f0982601de9', '5d7f5b9a999487a2', '8f00ee0979b9f3eb', '94650809b1bfebe5', '9c9a09dc05ae0717', '046fb9f668ac6b20', 'd5dce1bf0842df59', '21638997ab0430ad', '08d205f4f1290034']; context = [[6, 59], [156, 199], [76, 141], [163, 206], [15, 62], [153, 199], [168, 220], [2, 45], [99, 159], [4, 80], [101, 171], [135, 177], [17, 86], [0, 42], [19, 88], [22, 83]]; loss = 0.023658 low_pass_filter = 0.300
+Epoch 0: | | 33739/? [5:19:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 33740; scene = ['41f000038be464ba', 'bd2d0ac38c8907d7', 'b7019be1d94ff06c', '0040ff89cd583609', '3d38b2a666993c21', '43f3809e04ddf7f3', '9f0597b818aa04fc', 'd90a0c2adef1eb1a', 'd07528c1136878f9', 'ed0248c4aa06bbe2', '41101beca852f72d', '91e920e12316d84b', '434bd83c81eae45d', '5111e9fee46cdb11', '208bd0af6bc8937b', '8728264c6018e495']; context = [[101, 175], [28, 85], [132, 208], [102, 165], [1, 43], [15, 73], [17, 97], [144, 190], [93, 144], [47, 130], [13, 81], [55, 107], [24, 93], [26, 72], [2, 75], [109, 189]]; loss = 0.024058 low_pass_filter = 0.300
+Epoch 0: | | 33749/? [5:19:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 33750; scene = ['5fae3a38b69ea340', 'ef0a592337c999f3', '11c3fd0ee0ff60c2', 'fcc2ecb0bc03aca1', '1cc3251f1e085d81', '69d6916a535a24eb', 'a8bb713dd5876fb3', '25aaf991662b1392', '42f96a7975e871c6', 'f966f4722ae3dc03', '9a7c6f09f20079c2', 'f8e7e4c60d55ea07', '2ed9d9cc2c4d0fde', '7afe74892b31d522', 'd8585b03b4c5b2f4', '8e0fd621715e26b5']; context = [[88, 151], [69, 111], [1, 82], [0, 72], [9, 61], [48, 111], [80, 159], [0, 42], [14, 87], [2, 67], [1, 77], [39, 104], [0, 49], [69, 147], [2, 79], [3, 82]]; loss = 0.031986 low_pass_filter = 0.300
+Epoch 0: | | 33759/? [5:19:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 33760; scene = ['f5c8d1e28d1755ee', 'd46375d124369411', '2ad7b1453cf18a65', '3347a0d7e17c3a9f', '090832426d674a08', '6ef3099511d24386', '756d2cf95e970c61', 'd0bae56464f6702c', 'd777e52d81fbc515', '46fb6702ed1b9967', '38169a64d14c2968', '05bfc76ddb55b2a7', '0474328f4cefd619', 'f2877fd3e188aca4', '8039342cf122c12d', '4b6ce8f7863bb02a']; context = [[11, 76], [11, 54], [0, 46], [11, 53], [10, 81], [100, 150], [180, 240], [86, 135], [40, 107], [132, 177], [1, 45], [33, 91], [136, 188], [13, 71], [1, 72], [71, 149]]; loss = 0.022483 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 33769/? [5:19:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 33770; scene = ['bf3e3a1d9c79c6ad', '8ae6a34f24ca17c7', 'cb2331e540c260ef', '374c8f92cf81790c', '49c70d4ec81b40ff', '768d3a09993a7e9d', '2fafe4c720233492', '59e536008a7f1abd', 'f13daa95a8b6d3cf', '0f18776cffbe3802', 'fe90475a8c70802c', '185019797e58d521', 'de2118e0b2974196', '8469432c4fae78ea', 'a631c0001529db4f', '764c6a2e15e46440']; context = [[6, 49], [13, 72], [1, 62], [12, 95], [18, 76], [3, 79], [24, 67], [2, 50], [9, 74], [62, 144], [7, 58], [34, 96], [103, 156], [20, 94], [88, 165], [54, 98]]; loss = 0.028088 low_pass_filter = 0.300
+Epoch 0: | | 33779/? [5:19:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 33780; scene = ['caa9ec5743956e5e', '23bc7de9205a2ced', '45e462394d584b16', '777944df0eb2b682', '38667b143565e79a', 'e223a883c0c16415', '571cd60ca252b93e', '14421a21370bd814', '7885bd17267ecef4', '311a8980ac58da1b', 'fc5b62bdd410f907', 'a1a8c3518bc6a3a3', '3e30d1a14cad58d5', '24744a1c7767e0f0', 'e16e982c96b26de0', 'bd8e178c4d928d09']; context = [[56, 133], [3, 65], [188, 250], [11, 94], [64, 114], [15, 98], [80, 123], [14, 66], [1, 46], [66, 116], [56, 120], [169, 229], [22, 95], [52, 127], [33, 83], [48, 95]]; loss = 0.031269 low_pass_filter = 0.300
+Epoch 0: | | 33789/? [5:20:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 33790; scene = ['c065b387ea32b3c1', 'cbd915620f0b433f', '75360b350aacca61', '338008a25afe3c9c', 'b6c080c0457896b1', '0ebbdd2d2ba475c7', '472681b6b747e84a', '09028d01a4e4343e', '0da32cfb9483ba52', '261966d35cb9048d', 'a60a2e4385f361ac', '1a2b1d9e7065035b', '73341b79eaf41f6a', '28e3c9a4261b68cf', '1316f6809b85ba42', '4b98f62e96b7e00a']; context = [[5, 58], [54, 127], [2, 66], [99, 177], [23, 75], [3, 57], [21, 73], [44, 104], [75, 118], [5, 57], [21, 73], [49, 101], [6, 64], [11, 60], [111, 169], [0, 51]]; loss = 0.027318 low_pass_filter = 0.300
+Epoch 0: | | 33799/? [5:20:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 33800; scene = ['c6246a94432e00c6', '842edd33637dfc83', 'e5db691627ea5357', '9a80121d71258b41', '5c4442779124ec3d', '6e0446b32be39b1f', '878a9cd31f4ad9f6', 'e93f2d8e5c3e2da3', 'c84c4db184037309', '86badfef4fc36bed', '7d597cedae289ee8', '319bd9ea90f25ea3', '210ab3c1a9d655e5', 'e8631b8149e42ce0', 'bc452bf30b9596ee', '640d78a72db813c5']; context = [[2, 47], [5, 61], [11, 60], [10, 82], [170, 219], [9, 55], [54, 121], [42, 114], [4, 48], [10, 87], [9, 54], [17, 87], [171, 232], [84, 140], [11, 58], [3, 62]]; loss = 0.022694 low_pass_filter = 0.300
+Epoch 0: | | 33809/? [5:20:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 33810; scene = ['749f35821374f0dc', '3db359985be722e1', 'f7ef5bb99bf643a1', '9cb7e3454afb2e2e', '2f6e8ec2b14bf552', 'e72f15ce7766ca25', '49f6c049c206ddd5', '7ff88bf82048bfdf', 'b9150a0deb480f1e', '6d93e8f7923b4d70', '9a4c0bb938bd7c83', '7f1444750fc50ba8', '752a2c0964a92680', 'f5b19c838f9f8b2e', '132c4737c30b0bf7', 'af018f37a5cfffcd']; context = [[37, 95], [61, 123], [78, 147], [12, 86], [99, 179], [4, 64], [126, 189], [1, 44], [3, 80], [61, 111], [2, 70], [190, 240], [203, 262], [42, 116], [17, 82], [77, 129]]; loss = 0.029786 low_pass_filter = 0.300
+Epoch 0: | | 33819/? [5:20:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 33820; scene = ['232e85250de4fc24', 'dc4ca047ad86ad9b', 'ff78f5cb272e5c78', '03e06c2a6e1c1708', 'c999a1922a53c7fd', 'cee0290238ec48ae', '304188462e3d3219', '03f22e694d8895e9', '7c8d84ba7289a65f', 'a197313c851249e5', '8eb6bcd27627d07c', 'e767e17d0fbfb288', '3689fe268c8f8400', 'dd5ec950a01c42a0', '6f64345a52ccd198', '7ce258bba41c9244']; context = [[190, 243], [165, 242], [60, 112], [43, 115], [4, 49], [14, 87], [10, 71], [77, 133], [17, 97], [27, 77], [130, 181], [50, 109], [23, 77], [9, 79], [5, 68], [60, 129]]; loss = 0.033586 low_pass_filter = 0.300
+Epoch 0: | | 33829/? [5:20:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 33830; scene = ['62768f361005f19f', 'a46e7baeca18297a', 'db19833fcf1647a1', 'b7dc241490a4f034', 'a349739cc4700dc0', '104b2bb6752bf882', '54d9fc8cdfeb4ba3', '9e6057bb35a73a84', '9672dc38502b0ba3', '137abbcd14bf4884', 'c4a817d11a8538c7', '52ee5cf9c011ebc6', '033380b8c9ced0fa', 'b663e4e4e1c815d6', '56df2b5ce47f0951', '8164609826cc1a78']; context = [[22, 80], [1, 48], [85, 144], [0, 53], [9, 53], [23, 105], [2, 82], [84, 127], [21, 82], [88, 169], [38, 105], [50, 107], [12, 86], [42, 86], [15, 96], [28, 75]]; loss = 0.026444 low_pass_filter = 0.300
+Epoch 0: | | 33839/? [5:20:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 33840; scene = ['7df87b841be16aa9', 'fb8f11f3617a14c3', '4e40f715298ecfb3', '5fc1aa4a0f9458f8', '78024dfabf9fa849', '703fec55ded7654a', 'ea3e0bbdfe22e669', '6d8b6fac92ceecad', '619ec1868bb4fff2', 'c8f87aacce98756e', 'c4b9605e3399e84a', '1cf552e14b79769d', '89cd0268f557d0f6', '10e35fb0eb1b120d', '5c12d0e4b30e7d1f', 'edc12d141059e496']; context = [[1, 64], [11, 80], [3, 83], [32, 111], [16, 71], [40, 87], [3, 47], [147, 193], [59, 142], [100, 178], [103, 181], [12, 79], [24, 88], [1, 66], [46, 96], [79, 159]]; loss = 0.028613 low_pass_filter = 0.300
+Epoch 0: | | 33849/? [5:20:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 33850; scene = ['e7fc26ae6767e953', '01fb53b15143522f', '39575de64c3de74b', '5ddd85e76a75199d', '29b67aa36466a2a3', 'd6f99a65ea33bfea', '2bb0b8de88e68323', '73cf2d50d2725a4c', '6ad716f9b6d89222', '27337c908b5c9837', '4cd0eaa10635df39', 'e3415f47c35a9313', '3569d686183705cf', 'ba34c467b9348fc1', '9454461f4e900bfe', '045578e7f6e44c6b']; context = [[5, 88], [10, 82], [62, 142], [49, 115], [6, 69], [15, 83], [4, 63], [9, 54], [35, 82], [19, 95], [4, 85], [33, 84], [15, 66], [4, 75], [13, 70], [153, 202]]; loss = 0.026566 low_pass_filter = 0.300
+Epoch 0: | | 33859/? [5:20:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 33860; scene = ['89fe7005e1d9debf', '679895a88529a64a', 'dd5052b4e6eace78', 'cb9fb0de27b9e658', '10c430f0b55254a1', 'f3818ef1c738cf74', 'b7930609eac0c10e', '895780d4e6c7c26c', '6fdea1a47180a4b7', '3f14828a1957b7f0', 'c715d9484ed86f27', 'b06c4b68ab1718fa', '6c50cace5a9d0ea4', 'd42fc65806d78ed0', 'ff4ac4733ea81002', 'ed7e2f22e2b5ba01']; context = [[0, 83], [4, 74], [7, 60], [1, 67], [8, 85], [86, 165], [56, 120], [13, 66], [98, 150], [1, 48], [223, 272], [82, 140], [130, 182], [96, 157], [114, 188], [8, 83]]; loss = 0.023983 low_pass_filter = 0.300
+Epoch 0: | | 33869/? [5:20:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 33870; scene = ['5fb786bf313144bb', '1d9e3cc9ee9036fb', 'e0c462f81b501a0f', 'a4cc10dede2eba84', 'ad75e36b74f6b033', 'e68bf4919dbd4e29', '20f3647b9c4356a9', '3abd72e83aac22b2', 'e03b97fe138496d7', '0b6bc1cddcc503af', '9d29b0289133ab4e', '1319170a73cb514d', '7b78a2113b0b67e0', '9a902960aaa032fd', '7afefd271f2ff47d', 'bedba1846d7b3f88']; context = [[90, 152], [1, 53], [94, 140], [0, 46], [146, 218], [51, 103], [26, 83], [197, 243], [57, 135], [4, 51], [126, 192], [27, 83], [101, 163], [115, 193], [75, 158], [6, 65]]; loss = 0.026471 low_pass_filter = 0.300
+Epoch 0: | | 33879/? [5:20:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 33880; scene = ['d2a98ac1375bad94', 'e1cafceb24432d44', 'a9b437c1a771c642', '8e1c0bc2d1f32fb0', 'caa51283afc66cae', '164e9587927eb0e9', '3a06d7ebb3cb5341', '9954c518245b7322', '1cff69e73b827bcb', 'd3af8e3b7f354487', '957517b6ed4d0048', '9839acd64985ac6b', 'cf91287a73911ff5', '0ed741df4437c6ba', '2ef0eef67b3b538b', '4e66b9803173ed3d']; context = [[4, 81], [8, 52], [9, 74], [20, 70], [10, 77], [40, 93], [0, 66], [10, 93], [14, 95], [77, 152], [45, 128], [7, 60], [8, 51], [3, 55], [3, 48], [10, 85]]; loss = 0.029683 low_pass_filter = 0.300
+Epoch 0: | | 33889/? [5:21:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 33890; scene = ['11c69796af56d901', '30da666be764ae4b', '186b1e7d8bc86601', 'bed31d8c359085c9', 'f4c433e3569e1b88', '6bcce32993a13c68', 'eaeadebc96d33431', '27ed8e7077af6540', '059cd20b64598054', '55e86e1ea48beeb5', '7fcb89af08ebffa4', '9bf17d6915557577', '365cc26334324afb', 'be252e2b4a8d5acf', '4646aca26dab9724', 'ff88692d320fdbe3']; context = [[9, 77], [11, 76], [57, 100], [7, 70], [41, 88], [50, 112], [62, 120], [68, 129], [11, 65], [1, 74], [10, 63], [161, 223], [38, 118], [8, 74], [0, 78], [136, 183]]; loss = 0.028816 low_pass_filter = 0.300
+Epoch 0: | | 33899/? [5:21:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 33900; scene = ['83f0a5456f9b1818', 'db4216b2a2281ce3', 'c491321e6678f76f', '44bc242930167a67', 'f13afb1b46890e37', '606a39f22e8d7b84', '389e63d778d22e90', 'ff2403c3a529c398', '1c40dd7f494f5c49', '42db4c46b6527336', '88de5a9dbaaced91', '6d2d7e8c12846ba9', 'c78080cd764ce09a', '6abfb2e52aea1a65', 'ac5122b9a344d3be', 'b1e83960965e92a9']; context = [[35, 91], [0, 81], [165, 239], [11, 63], [1, 44], [41, 111], [75, 149], [18, 93], [19, 63], [17, 70], [12, 94], [167, 220], [18, 69], [42, 115], [34, 85], [79, 147]]; loss = 0.057626 low_pass_filter = 0.300
+Epoch 0: | | 33909/? [5:21:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 33910; scene = ['54691c0ed1746861', '1c5a01b82f1a528e', '88b54948c12343ec', '51d5134a0133edbe', 'ba044f67680746d3', '2c5c6a9e4fedd138', 'c2a92391c4176e83', 'eeb07f912539cb81', 'dae885cae195f032', '2f9790e264304bad', 'de71bc8862551c2f', '7e6f9858de55db25', '664e178e1a6e2a5a', '67237e1421a4d661', '15256ecdaf019629', '8b2971fc892014a4']; context = [[102, 178], [84, 145], [10, 61], [13, 96], [16, 69], [55, 132], [43, 122], [3, 50], [199, 266], [17, 100], [15, 93], [4, 69], [50, 101], [156, 209], [93, 142], [0, 43]]; loss = 0.023941 low_pass_filter = 0.300
+Epoch 0: | | 33919/? [5:21:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 33920; scene = ['f9f240e5d3cc903d', '2b03daae55bca39c', '9eb21917c21c3605', '1be98df85c7a1b55', '41104f5f61ead9c8', '06a618829b0086cf', 'e2ab13f94d6c8599', '16554229918ea920', '2a9c1ad6089a1550', '7ace42c885ad095b', 'b580a3428b44251a', '4daa197edbec3fe3', '17544f453322cca9', 'b478a8183e750d6f', '638d352a194d1acd', '010571c8c397a29c']; context = [[23, 70], [32, 91], [206, 262], [124, 193], [0, 57], [67, 115], [4, 52], [13, 82], [28, 86], [74, 135], [76, 125], [119, 189], [2, 46], [62, 120], [0, 48], [138, 196]]; loss = 0.028971 low_pass_filter = 0.300
+Epoch 0: | | 33929/? [5:21:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 33930; scene = ['40655ef994aa4830', 'db61ac0ddc21d1c9', '555ecd2c155c121f', 'a08c943596691060', 'a6ac7fcc20eacfbe', '4b5938e9bd8838aa', '72eb8a686de01af4', '6e9b13edfea0b8ab', '8b5ec9064b23fe4a', '1620ee65c0c87b4e', '4d369a1a768a3f69', 'bd45578b77dea2ae', '9640c9d0bef9ad9b', '539a00c49ffd4478', '3a09916ab94d104a', '5449ea0f398b1296']; context = [[11, 67], [7, 58], [86, 137], [8, 81], [2, 60], [16, 70], [109, 172], [113, 183], [20, 65], [0, 62], [7, 67], [31, 82], [42, 96], [30, 80], [1, 55], [3, 59]]; loss = 0.022060 low_pass_filter = 0.300
+Epoch 0: | | 33939/? [5:21:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 33940; scene = ['b4cbe1753e9d2ae4', '776064ae58e63baa', 'b46177248cfd9660', 'f7f116fd4890b30f', 'abc3c3206c8c7b2c', '851fa0b5d499c1df', '9bd581fca2259350', 'a51b891b131020be', '9433f9e25035a257', '4588de03f6d0819d', 'baed0b1b56664c55', '877a629d92b63701', '70c64ce0990243b8', '256772a5575ec23a', '894ba981bfac8b19', '87e217f0fb889cd3']; context = [[179, 225], [50, 125], [14, 65], [1, 67], [7, 73], [2, 83], [29, 105], [0, 45], [32, 88], [158, 217], [103, 185], [19, 94], [7, 80], [13, 82], [1, 74], [39, 98]]; loss = 0.033210 low_pass_filter = 0.300
+Epoch 0: | | 33949/? [5:21:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 33950; scene = ['48a3ce4bd42f000d', '11cee9170b52e429', '83ed9d8ed9845e71', 'f1021f385c05e35e', '6c3f490ba179a038', '937deb71c0c4d1e5', '50a38c69abd2a064', 'f86b62c904dff358', 'd5200e6507f07d30', 'f27d1a7efefcd420', '89182bbf4b3f1b98', 'ccf546f5a8ea9cfc', 'd307fd3627868961', '8eb11b08983f5781', '3e5be5ea98eca2ec', '6d17cd15add9aff0']; context = [[17, 67], [44, 118], [30, 100], [41, 94], [53, 131], [1, 57], [13, 93], [14, 60], [29, 82], [108, 165], [43, 119], [76, 124], [42, 124], [5, 51], [13, 56], [36, 79]]; loss = 0.024153 low_pass_filter = 0.300
+Epoch 0: | | 33959/? [5:21:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 33960; scene = ['65e55a820aa22b65', '9aa9466e316e9e34', 'a55929a0ce757f40', '9a7abfb43f7410ad', 'fc988f2918f47414', '8e27facde4efe978', '403a9c5361f0a766', 'a66b89aac7e775d8', '2de6f75ff7a7575f', '21a72bef7976762e', '4fcd6477d1537474', '4f8f97692c8b6ac9', 'c82fb4a28a0819f2', '4dc998a7ac265049', '84c580445051e204', '21b7991bce6e5630']; context = [[22, 85], [128, 190], [140, 218], [66, 149], [66, 118], [1, 44], [8, 66], [76, 120], [32, 90], [10, 65], [110, 166], [0, 44], [162, 245], [0, 59], [7, 55], [18, 64]]; loss = 0.029586 low_pass_filter = 0.300
+Epoch 0: | | 33969/? [5:21:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 33970; scene = ['07cdcf1e89921c1f', '37321c182e5bf3ed', 'c326a47d6f346e43', '9dfc77c50a277b26', 'd2a9abc9f488ab92', '3f53473da1f537be', 'ac635718f0df20ce', '6174715e9df77674', 'edfe56997f23fd03', 'a050ff56fbb4233a', 'cbf4f24d31aacf75', 'c31c5aec6ca52a0f', 'ae9b392cb1d7be26', '2a28036d98f5a42d', 'a39de974d72b88b3', '70e09b2da21c935c']; context = [[7, 82], [9, 64], [25, 79], [4, 82], [4, 48], [1, 44], [70, 149], [5, 55], [14, 72], [50, 125], [179, 245], [113, 179], [0, 49], [6, 83], [31, 90], [8, 66]]; loss = 0.036163 low_pass_filter = 0.300
+Epoch 0: | | 33979/? [5:21:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 33980; scene = ['0754475e197e45c4', '9a4fc912c80e4ba9', '0b857200106481c0', 'bf19b0b66f74e2b7', '5b1f5aa8eacde6fe', '65ce0ad5ee94d430', 'ad43051ff3e03760', '0763cb68386479e1', '1df4638fdba064e7', '38f4c8a341068c06', '9bc403aa9e7c0705', 'cee014117a48eb94', '26cee54c91acd9da', 'f9d7f70bb0034f0d', 'cfbb220575fb9b02', '1bc2686e6cb1fb1a']; context = [[46, 97], [92, 145], [3, 70], [3, 84], [0, 48], [1, 51], [30, 98], [1, 79], [76, 138], [41, 91], [31, 105], [1, 81], [24, 73], [26, 87], [52, 95], [7, 54]]; loss = 0.023807 low_pass_filter = 0.300
+Epoch 0: | | 33989/? [5:21:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 33990; scene = ['e281213868014707', '7a159ffb882659db', '11360d957e7fed26', '16b46bf7b3709c2f', '32592856503a5110', 'cfac893736d0c31b', 'd800d4da5605b3d6', 'fe182ab98e3df748', 'e63cb12fc52c36c6', 'f60373796216b3e7', '9aa246217e9c04ea', '39dae4692d7b82da', '904ec56432f4a066', '5e9846591aa4776c', '2aacbb88b3a24147', '5c7e3e2104f8a0c7']; context = [[112, 185], [1, 54], [12, 72], [36, 83], [130, 205], [73, 150], [31, 75], [14, 69], [2, 46], [67, 127], [36, 98], [20, 98], [119, 169], [84, 154], [31, 109], [0, 69]]; loss = 0.025093 low_pass_filter = 0.300
+Epoch 0: | | 33999/? [5:22:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 34000; scene = ['66dd1b648808a447', 'b2e21dc0a2c78909', 'f7ec5b2e24b7dbc8', 'cefb490365f5df11', 'b398c410a57ee54e', '20bb938aece288dd', '58a2ed05f3b04dde', '718d659094544773', '0b2361b7ec75e234', '098ccdf6b4a2734b', '623640f3015a951f', '8aba5d8cbe4a821a', 'a202d9011de16580', '689b7893bcdefedd', 'f0962de86ac20fbf', '3be0e7ec02876810']; context = [[231, 275], [0, 43], [222, 274], [1, 51], [24, 72], [2, 57], [2, 85], [12, 64], [127, 172], [25, 100], [79, 154], [27, 110], [105, 179], [0, 46], [33, 97], [9, 60]]; loss = 0.027562 low_pass_filter = 0.300
+Epoch 0: | | 34000/? [5:22:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000validation step 34000; scene = ['a17fdfcb519750eb']; context = [[20, 89]]
+Epoch 0: | | 34009/? [5:22:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 34010; scene = ['695dd078bf67981b', 'cc7d1df29b624684', 'a423a6063cc0872a', '5501bbc294714910', 'adfc5568484cebf6', '34fa2f4f1daa9b1b', '63f783167cecb298', 'e7c88e154e80bcf5', 'acc984a718bb6ed0', 'f78ae8f99b60b424', '77d4d2a97731d767', 'fa0f8420b478c8e6', '51f581faf9000425', '56f3af5b5c87435e', 'b34e241b08ecb7d0', 'a883baeaf5486d4f']; context = [[2, 59], [16, 70], [5, 63], [48, 94], [11, 90], [3, 78], [13, 79], [18, 68], [3, 75], [0, 71], [43, 86], [10, 69], [15, 65], [30, 79], [8, 85], [6, 69]]; loss = 0.023476 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 34019/? [5:22:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 34020; scene = ['d08843a89e7375a6', '97e72d8bd82aa998', '554eec4e62ff08ff', 'a91564894324256d', '33ba82bd47909e3b', '8c0b0087bd94017f', '3eceb0c08c08242b', 'bfecac3e3bfe37c3', '58a5dc4980d05a6c', '5c5681473a27d80f', 'bb31564840f2db2f', '841c18be069dee4a', '3b6586c3b5c64f35', 'c2b40188e989bab0', '8d9b9fa4b8748ccd', 'e818adaa45e3d732']; context = [[1, 65], [2, 56], [12, 72], [10, 61], [54, 99], [98, 150], [28, 87], [37, 117], [7, 76], [12, 84], [3, 84], [22, 89], [33, 101], [168, 213], [115, 194], [4, 49]]; loss = 0.032642 low_pass_filter = 0.300
+Epoch 0: | | 34029/? [5:22:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 34030; scene = ['7275d38b8178efba', 'bddcbc19a6e72db4', '71a23bbc6bbbe3b9', '99aa8fe19b8215bf', '7abaee1726512c49', '67e60e8d574503ed', 'f6ea84bf429593ae', '1cbef069768557fc', '5d9475bc439c2e2f', 'cd746201c3c6cb74', '8f76cf20198943f9', '895a901ddd481ded', 'd2bb7463fe19637e', '5d21b42ceb929377', 'ec723bd46c6bb0d8', 'faea448f2b4288d3']; context = [[162, 243], [33, 99], [23, 105], [4, 53], [100, 170], [11, 74], [57, 112], [62, 125], [141, 220], [25, 101], [183, 236], [8, 59], [15, 60], [140, 183], [60, 126], [28, 72]]; loss = 0.026390 low_pass_filter = 0.300
+Epoch 0: | | 34039/? [5:22:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 34040; scene = ['2b92610ff58808bb', '7b1ac0cfb99be277', '772542fd431e3a6d', '2a6c45965d00e73a', '75c2593da6db5b51', '726ae1a792f76b49', 'd216bacfae811c2c', '81d9a45e3752415c', '1a62c49c1a96a7e4', 'ef8606ff8897efac', 'c5e7242756e6bdfa', 'ba57ad8ee0354f53', 'e3152b1ff94c2e15', 'd62c69dc9fd6be34', 'a41c750693eb1472', 'b12f64d6002ec745']; context = [[6, 53], [201, 260], [19, 90], [10, 58], [25, 107], [18, 92], [22, 65], [36, 110], [4, 50], [6, 73], [111, 167], [46, 101], [16, 78], [15, 61], [187, 263], [79, 142]]; loss = 0.030433 low_pass_filter = 0.300
+Epoch 0: | | 34049/? [5:22:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 34050; scene = ['1d24bc78932327f2', '854d8a46a26c619e', 'c9bff9622c63aea4', '190ca8283349ae9f', '7c8273fb4edb67a7', '37ff82da68ba6bee', 'e061310070ef88ae', '6175bdc7df037dfb', 'ec41cf9747640cc8', 'af71d7a4edf61c31', '8794b542b373e060', '4de744d02929d26d', '361942c99f3909c9', 'df6f66c2da76a830', '412222357402426d', '67c964e4dc73f102']; context = [[16, 73], [80, 151], [35, 107], [22, 67], [4, 55], [31, 108], [195, 256], [31, 89], [37, 83], [19, 82], [30, 104], [3, 80], [105, 184], [98, 150], [44, 98], [134, 214]]; loss = 0.024038 low_pass_filter = 0.300
+Epoch 0: | | 34059/? [5:22:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 34060; scene = ['b1f3e643fb405e5b', '0b82d6fdf7a104ad', '6cee6d0abdf16185', '51252022ddf74fb9', '1a306618ca817952', '69bf6e0583b4603e', '2431adcdd3aeeff3', '4771a5ec59fa8971', '8004aaab224eeb4c', 'a2195082c4afd506', '62b5a2608cd61049', '7354c8469d9c94fd', 'c8a560445ed75686', '98c1f3f761b7a9d8', 'da1d47d3a5a46250', '9b2788541dfe9a82']; context = [[101, 157], [195, 255], [1, 52], [104, 159], [57, 107], [100, 158], [137, 200], [66, 142], [144, 199], [66, 143], [9, 58], [7, 51], [39, 95], [24, 99], [45, 122], [0, 56]]; loss = 0.030470 low_pass_filter = 0.300
+Epoch 0: | | 34069/? [5:22:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 34070; scene = ['c179864f6886d590', '50d23c9f153fb2b8', '16f49e5091804328', 'fe11db7072e7666e', '64508af4bf3b2c10', '921504f59fb80a42', '22248456bae063ae', '896959276e244303', '7fe28874e9a523e7', 'b639a1cf1156a8ca', '1996702577ac768a', 'e5915107a9c58183', '4aca0b9f5148e064', '0d1436b89f8de224', '65fa0a94fbe48038', '446a7ddca0d1a28a']; context = [[10, 70], [166, 220], [28, 105], [24, 86], [0, 62], [0, 71], [146, 227], [71, 143], [3, 66], [9, 65], [8, 60], [0, 43], [50, 102], [91, 162], [0, 44], [57, 132]]; loss = 0.023914 low_pass_filter = 0.300
+Epoch 0: | | 34079/? [5:22:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 34080; scene = ['3dd1ee9ce46014e0', 'd8cb90fd13152e6c', '0788c973574d562f', '0ca0911df7c66c58', '946f96dfadda281b', 'd998d161753e9542', 'b651925fbd6adf04', '6c767949ba9cd00e', 'e9d8314a8d2d8dc2', 'f8e8aa4850d3463b', '3a0ea9f832ec69b1', '6551bb0d65d43809', 'd9a139899167f274', '6468627058d16ef2', '64578d13c55ab20e', '887c31fd60106dc4']; context = [[3, 79], [3, 54], [44, 102], [111, 172], [28, 107], [45, 117], [67, 139], [1, 59], [14, 77], [83, 137], [88, 144], [9, 87], [16, 59], [75, 120], [10, 57], [122, 171]]; loss = 0.028231 low_pass_filter = 0.300
+Epoch 0: | | 34089/? [5:22:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 34090; scene = ['f720437b9f3f2185', '7ed76c117c27b1e4', 'c0d1a0581fea22d5', 'd6630f80b45ff8c0', 'd5d73e1025a23bae', 'a2bc2177cf70eab6', 'fe2fce8e4eb8f882', 'e242d43a1ef0a6eb', 'ad7d01ce66eaa31d', '0a0b7d56d8bb16f3', '1e8f20a009268021', 'ef4a334b0a991e22', '0722e6b29c398d78', '6817374ad089ff46', '3effc4406f9ddaeb', 'b24e1ede1a96a6a7']; context = [[18, 99], [10, 86], [1, 46], [1, 44], [36, 83], [48, 108], [2, 48], [24, 78], [1, 66], [0, 45], [20, 101], [13, 58], [78, 137], [19, 84], [4, 50], [20, 73]]; loss = 0.023803 low_pass_filter = 0.300
+Epoch 0: | | 34099/? [5:23:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 34100; scene = ['aabc6d31aaa4b84c', '3010ed17e38d9071', '011096d6cf0ae11b', '8b19c78df2dd7e46', '670345b640158b96', 'd281c7ae9754972a', 'c1f2337f62ad3576', 'ea02fbd66994f682', 'a7a018165cd919a4', '4b0ec29104410efd', '8727a972009a2f02', '32b9ad4775ea81ec', 'ebcaad26ea067131', '6a13f52fc80a963b', 'afabee4e2943d012', '5f2242ceed2ff1cb']; context = [[1, 64], [7, 86], [77, 134], [1, 77], [4, 58], [2, 76], [17, 79], [4, 57], [0, 55], [39, 121], [1, 65], [53, 125], [215, 261], [10, 76], [112, 195], [9, 82]]; loss = 0.045018 low_pass_filter = 0.300
+Epoch 0: | | 34109/? [5:23:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 34110; scene = ['4cfdc3ed984caecf', '13f7e729c14cd10a', '07d791e644a21f03', '070e6ca07b5f898c', '6c5bdea82b1cbf83', '07aa57b4199f27d5', 'f9a627eee0723c47', '007d91ee3338229d', '4c7c15f05c85e656', 'b3e785efcbb39bed', 'a8580c6b2825efcb', 'a36899b1194dc5a7', '9a58dacbdeb095bb', 'c07f313faace15be', '42bb78b6bb2015b5', '46f24550cbb75e1d']; context = [[161, 205], [81, 124], [42, 111], [19, 67], [32, 108], [20, 63], [3, 48], [21, 65], [131, 179], [19, 74], [12, 65], [191, 237], [146, 195], [22, 67], [84, 166], [5, 53]]; loss = 0.021605 low_pass_filter = 0.300
+Epoch 0: | | 34119/? [5:23:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 34120; scene = ['263f0d42e8710c65', 'db90db656da7ff73', 'b00b0366223e6877', '884d641124559b04', '30db1003608bc643', 'fce6fac0521553e6', 'd4d7f2bcf36167db', '76191ac5e9901c93', 'a075654d92bb7466', 'e51d6a12b0cb9b52', '1cae7c062ea3575f', '53084bdfb22e88d2', '78ae18df249c1135', '99415b53b392a4f7', '5b3b4779dad39d24', '90a130ffb72b701f']; context = [[1, 83], [109, 174], [6, 61], [2, 48], [80, 123], [24, 107], [1, 84], [6, 70], [118, 179], [73, 118], [7, 50], [11, 66], [56, 116], [20, 66], [96, 140], [72, 118]]; loss = 0.041897 low_pass_filter = 0.300
+Epoch 0: | | 34129/? [5:23:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 34130; scene = ['85df3336ad90d5f3', '29d4c936815664ab', '8dd198d245a49bd5', '968ff100023b7cfd', '0a1ca07f00de4dbd', '9a9613d89b1c8587', '86440d86f60644b7', '19d9966b8862aca3', 'b52203577bf5ab66', 'b66059464cc436c0', 'd7b308d30c7e7630', 'ae102f2e58ac735b', 'ae13716dee49ec9c', 'b17038a5992d2efb', '81eb6c7798c391a1', '38d897635c61c8c9']; context = [[18, 66], [34, 115], [7, 89], [28, 111], [51, 95], [174, 249], [48, 97], [23, 86], [23, 78], [0, 64], [118, 187], [187, 250], [98, 179], [13, 66], [21, 80], [16, 78]]; loss = 0.032872 low_pass_filter = 0.300
+Epoch 0: | | 34139/? [5:23:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 34140; scene = ['c3717b9f586069e4', '3a4fb93324c90edf', '2aa6f67ade1bfc88', '6155643c15b60b3f', '7d6513e9e60673c7', 'afdd7c99c134261d', '35566e51a143cd1d', '1a3494f9652bd1d6', '17d10f12b9a17023', '738f847dac8b608e', '833c2edd626c81d5', 'b6378b9a8e0ab15e', 'd713d22cd9d67c5d', 'bef3852ecab6980b', '57826825f0963678', 'd78728ca5e6a3d20']; context = [[169, 241], [13, 59], [0, 83], [18, 68], [3, 50], [12, 64], [10, 66], [18, 83], [0, 44], [0, 61], [32, 88], [14, 86], [12, 67], [33, 89], [6, 50], [45, 91]]; loss = 0.025507 low_pass_filter = 0.300
+Epoch 0: | | 34149/? [5:23:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 34150; scene = ['511d24d81e925e48', 'f4fce4a624da37d9', '01d5a6ebd573b4ae', '8ef3803dd3c43c10', 'aa15562d0b9fc205', 'c8cc70f1e96adecb', '3921f3d86b2cacf0', 'e07b8e5f6e9fef91', '9b8641a671477a0b', '3f4ca1ecea630686', 'a32fc3de0b32b930', 'e83dbd16dec37e43', 'e6a8bd88834f30bc', '0eaec5ae110ae727', 'db03a39f685c9f43', 'f8b1b1dee0f06037']; context = [[72, 152], [6, 68], [13, 69], [57, 122], [79, 146], [170, 249], [15, 86], [87, 134], [46, 125], [0, 68], [14, 79], [2, 66], [58, 136], [83, 148], [30, 98], [82, 130]]; loss = 0.025257 low_pass_filter = 0.300
+Epoch 0: | | 34159/? [5:23:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 34160; scene = ['e1ea6a2fc9b462ca', '31177e3090079870', '8b634dd80fe44d1d', '13e3f8416df0e4a5', '8dcb65a86df04796', '4ca19f3a5dea6391', '9e16686cff67cab1', '5cfa9a2995f6c3e5', 'f7fc315b2c2ab371', '2e3fba29b0ef9eb8', '90c5b3052fd20e29', '9a361843bfa343b3', '31af458fd4f99627', '7149c979d457b227', 'd149a09ca599abf9', 'c9ec0ab676c1218a']; context = [[61, 116], [98, 173], [167, 245], [70, 136], [44, 97], [4, 74], [46, 90], [11, 55], [77, 139], [16, 72], [78, 159], [0, 55], [75, 124], [22, 85], [58, 113], [7, 68]]; loss = 0.037249 low_pass_filter = 0.300
+Epoch 0: | | 34169/? [5:23:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 34170; scene = ['af0471aa7cce2043', 'd7fa24650dae7321', '490640fb28797a5a', '28e3201ddd4e6d57', '4bb580c6c94c38c5', '10a1f8abfc11b748', '9b8b317f206cd862', '8cf950bb8bfbe226', '1918a9a4ac501168', '9b8ac62f51fb8b1b', 'ef275e6365132986', '3222f64880a7499d', '8b4e816055908df8', '137ed94737d1a31f', '31892d7becccb4c2', '5138d2433c0aef1a']; context = [[6, 70], [9, 65], [18, 77], [3, 75], [17, 74], [14, 95], [1, 66], [48, 124], [79, 125], [0, 57], [18, 79], [174, 243], [8, 69], [57, 100], [29, 102], [44, 103]]; loss = 0.025489 low_pass_filter = 0.300
+Epoch 0: | | 34179/? [5:23:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 34180; scene = ['26c6bb0e2234698b', '8060b04ab454bb81', '0c61bf4c72eee218', 'f107b68f4a5f2f10', 'fcc4e26b563a8d96', '590f202b18a0a562', '20d6ec0f2bc94541', '1d3d9af5e8de4a67', 'd5325aebc6be807e', '4dace0a9778018eb', 'c736f11c968c7121', '297dc136d19e7ace', 'aa6baa58fe0e6823', '9954d8448441bae6', 'd950e7899ea3c6b5', 'f46cd6716555abab']; context = [[139, 182], [178, 239], [0, 57], [167, 235], [49, 92], [56, 118], [27, 93], [2, 56], [58, 103], [2, 60], [13, 84], [4, 66], [21, 99], [14, 88], [3, 79], [113, 183]]; loss = 0.024897 low_pass_filter = 0.300
+Epoch 0: | | 34189/? [5:23:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 34190; scene = ['9ef7e60ae9442a54', 'a99e79f3bf4c13da', 'eb9d8eedd458413f', 'd05e005f82536372', 'd5616c51b75cea9e', 'f914acd76dc2439c', '26b59e475b721b70', '8c704f417547a201', 'ad29c27ce1807b96', '7d3a4db42458fcb5', 'bd44dde9c9a46f8d', '5aef79486958a9c9', 'a3da510ad5c8274e', '61195575024c6cf4', '5ae2c32a2062fc64', 'c632d386ce68841d']; context = [[30, 90], [9, 68], [5, 70], [6, 55], [38, 91], [97, 163], [41, 98], [0, 46], [0, 46], [98, 157], [47, 102], [78, 157], [102, 173], [75, 135], [1, 53], [60, 114]]; loss = 0.034867 low_pass_filter = 0.300
+Epoch 0: | | 34199/? [5:23:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 34200; scene = ['bf7183b5e8a651c9', '63f70b8bfa08420f', 'c76aa64f7f4f0967', 'ab28dcbaaddc294c', '4db2b26aa4c4277a', '18a4502aa1a59ed5', '04079c76c9372181', 'b5d76d0407dd07a7', '95ff7df105ade4ce', '69fe97eaa5511f9b', '13de5b48f1fd60e3', '06fed398baf81309', '61c58398a28dd9d5', '2b151a54e0287ce1', 'c602ef8e4559ef93', '3d998029b8876876']; context = [[4, 60], [83, 129], [1, 69], [25, 73], [2, 69], [2, 71], [39, 91], [81, 147], [5, 59], [57, 116], [31, 80], [149, 196], [10, 59], [189, 239], [18, 90], [151, 214]]; loss = 0.206133 low_pass_filter = 0.300
+Epoch 0: | | 34209/? [5:24:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 34210; scene = ['3b7938eaf2733a31', 'bcb1b35c603efea7', '2afa9fb38e8ed969', '02f5bb43339068c5', '829edc41b1f3753e', '83ab839d8677c959', 'e1070e8e8fe9d84c', '6f6897a5825cb0ba', '476081f1477b4542', '053a8ffc1fecb90f', 'e791f0a53b27bbd5', 'a814d663d6af2674', 'eba3604d6d93cf24', '3f32a9e82d3e1bf0', 'ab4e1a007da994fb', '34ee4b7e062656b6']; context = [[3, 66], [11, 66], [14, 69], [3, 86], [14, 90], [164, 235], [3, 71], [49, 110], [4, 48], [62, 112], [3, 78], [124, 176], [32, 95], [0, 67], [34, 89], [6, 63]]; loss = 0.024815 low_pass_filter = 0.300
+Epoch 0: | | 34219/? [5:24:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 34220; scene = ['004f2522f3d42f94', '2c842bb91ad229b5', '2d7b0f3fe3160b03', '8eb5e654849c2db9', 'c07c3b338ce22c3d', '63d7389f65f05e23', 'ea294617ac465cc9', 'a8200970f4297da4', 'ee38665a9d1868e8', '44e5847e0e0166c6', '419b1c98c2bddfc4', 'ffa35fefcaf1f3e4', '65d17630403ca06b', '6ff2ca5ecd3a0add', 'e9efe0fcc7a09cba', 'fea9df7bb5b4a7de']; context = [[118, 167], [6, 64], [147, 202], [0, 59], [1, 56], [14, 63], [27, 84], [136, 182], [4, 51], [31, 83], [43, 110], [10, 91], [56, 104], [67, 139], [38, 101], [27, 98]]; loss = 0.027314 low_pass_filter = 0.300
+Epoch 0: | | 34229/? [5:24:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 34230; scene = ['b4272c9622c487b1', 'a42bdc737a8b726c', '9b019ad156230e3d', 'f19c1b266757f967', '0d24a9841d825fe5', 'f648f8f5c2704677', 'af241626c1a84f99', '46ab911d11ef310a', 'a829c516eb0e8e13', 'b4ad86bd9ce6d38d', 'ac0880525e3d3c59', '6cbd015b79bdb917', '56ecb1658ea79417', 'b2d281a2a3be0076', 'b274a45818b70d29', '7797c026ca50f88b']; context = [[55, 113], [45, 100], [16, 94], [0, 84], [1, 62], [41, 103], [40, 103], [2, 46], [35, 78], [0, 43], [8, 61], [52, 135], [79, 150], [25, 89], [22, 75], [133, 213]]; loss = 0.025784 low_pass_filter = 0.300
+Epoch 0: | | 34239/? [5:24:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 34240; scene = ['0efc6af8523c24d3', '0eeba5401bf6431b', '247734c1f18b13e0', '9f410676f99482d4', '9581c4e12f850b42', '8c68730fd50900ac', '83aa60aa33391cdd', '16cc1cb2fcc391c8', '709fc2c17b0ea274', '4329969a7cf2df54', '72d7818d7a5c6929', 'ceed1e10887c0225', 'dbaaa42c678599b5', 'ced9eaec2af72a37', 'cdea215558754e76', '66530b646b00a9d7']; context = [[80, 125], [5, 67], [81, 161], [144, 188], [45, 107], [43, 107], [2, 79], [22, 73], [35, 78], [39, 89], [11, 62], [66, 110], [48, 100], [3, 46], [11, 75], [3, 56]]; loss = 0.020511 low_pass_filter = 0.300
+Epoch 0: | | 34249/? [5:24:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.50, train/active_min_children_step=4.000train step 34250; scene = ['7aedd2f74e750a45', '54d00f0b792f6fe8', '6e33e7372c9d4927', 'b4190d06c926f805', 'b2d2a992155c34ef', '43e291fe25c29492', 'd7aa89e4d7496f9e', '2f2ef5960c990916', 'e105f9684d242932', '5d69e11f2e2cc725', '185c62b6e5987061', '7eee1debf12cbc94', 'b89e7d0efbb85edc', '0d84f49089c8d865', 'dcfdedb838bddcba', '956da09524afb029']; context = [[70, 119], [136, 189], [124, 177], [36, 79], [79, 132], [2, 86], [105, 182], [22, 75], [0, 45], [29, 86], [29, 79], [21, 104], [2, 73], [4, 67], [0, 71], [51, 103]]; loss = 0.024323 low_pass_filter = 0.300
+Epoch 0: | | 34259/? [5:24:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 34260; scene = ['54d51c52ce0c1adb', 'f4bce04ab5bfb79a', '44fa1d39a18b5526', '86e586b33e7b6f38', '9c51cf4e89113126', '2479a45557099a67', '19cea81590502fad', '1df9284b9b3b08ec', '7885f21461cd4377', '406691a64cced965', '4ae3a70493900f6a', '5ccebb9ae8057cb7', '9d7bae0be039a957', '493811a076df63d0', '75f9f8b758663455', 'b135244ca7508cf0']; context = [[100, 144], [9, 60], [0, 78], [1, 44], [56, 135], [0, 43], [108, 155], [33, 95], [38, 82], [0, 59], [11, 58], [11, 64], [25, 94], [30, 91], [115, 196], [53, 108]]; loss = 0.028788 low_pass_filter = 0.300
+Epoch 0: | | 34269/? [5:24:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 34270; scene = ['2246a06adeacc230', 'a516469d68eb2932', '940c0485e5b7b5a8', '7328a7f5360fd6bf', '22cbdc156eda0b37', 'd807cc0cdc241ec3', 'd683f1b0a075297c', '0ea6cb5416dfeb41', '0c1ac606620e5238', '785c577c10d1cd0f', '185ff9bc1cf7087f', 'bb8e3512296a4179', '4761a8cf5e67b602', 'f0316dec0761d893', '7e283961a4f3f5f7', 'd13aa03815d4e6c7']; context = [[8, 65], [1, 53], [192, 260], [55, 112], [27, 99], [4, 78], [2, 56], [93, 147], [52, 134], [1, 56], [5, 69], [0, 50], [2, 75], [119, 181], [7, 54], [32, 111]]; loss = 0.028829 low_pass_filter = 0.300
+Epoch 0: | | 34279/? [5:24:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 34280; scene = ['1a846057f66a916b', '193f6046cfb64dbf', '63c3d74c9f4ec264', 'f4b87c8ce7b815f4', '57925ea5b7531821', '116d93103a2aa3b0', 'ca0b63e3f13cd7f0', 'd775362664f1f768', '75a8c6b3cfd92eb8', 'a7c974a1ec962ad8', '1e95fa0a11e26d17', 'a0c7cabb66c795a4', 'ac198ed69cc6b1cd', '6bdfbe59e9534640', '59ed5b3728d628fa', '050b94e6d6489b99']; context = [[3, 46], [15, 59], [64, 126], [50, 131], [167, 224], [101, 168], [44, 97], [33, 108], [74, 129], [115, 188], [52, 101], [30, 100], [209, 276], [8, 64], [33, 109], [25, 74]]; loss = 0.029367 low_pass_filter = 0.300
+Epoch 0: | | 34289/? [5:24:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 34290; scene = ['7cbf9883cb0c72d8', 'c88763918c3b5bdc', 'd4a3e84b341bec13', 'a1a1cb1f687a2607', '9b24a13077575305', 'da0680ede2d63536', '4da6746b3ebedda3', '03d4213c72458935', 'bb39eaf814bf4908', '0bfbd4e52e5beebc', '91f161840d0c1cc1', 'a69b521e2340c0ae', 'e3d2b4479546065f', '32f6317591f11355', '2599cb94d803738d', '53ce8007d1dae3d4']; context = [[23, 103], [102, 160], [88, 155], [40, 121], [0, 45], [15, 60], [86, 142], [25, 86], [46, 90], [18, 102], [20, 80], [37, 104], [4, 67], [4, 66], [10, 87], [15, 83]]; loss = 0.027442 low_pass_filter = 0.300
+Epoch 0: | | 34299/? [5:24:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 34300; scene = ['70ba8be172f1d209', 'ed1f9d7e553c16d3', 'fff4b775cc7b0e4f', '177f4c538bca33cb', '03e14075bd5a554f', '9d5681ac698e7930', '1dde46011900a1e1', 'b18ad2d92b4566cd', '2d2d0f5f4ed37eee', '7a2d701dd0bf81cf', '0bf7fd35f239db86', '63afb78b26d8b70b', '7671960ab3e573fd', 'f1ac0dde0dbf8211', '8163f7b33001ecb9', 'd527e5a0036f8b9a']; context = [[2, 65], [2, 67], [0, 52], [13, 72], [4, 87], [10, 67], [76, 144], [0, 76], [55, 114], [18, 80], [206, 249], [1, 45], [6, 88], [7, 50], [81, 165], [42, 99]]; loss = 0.032903 low_pass_filter = 0.300
+Epoch 0: | | 34309/? [5:24:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 34310; scene = ['fa6ced4fa66a5584', '0135fe3bef30e6c3', '601b0db72d32f000', '4a5b796fd4f12fdf', '742911cc30936fe7', '54cf1f74450300d1', '809b4a8e19071407', 'f95e0898918ca26c', 'e9cf45d13b468385', '64a6562ba1fe1b76', '4b2a8d7a2ac42b73', 'e08ae1ecf01f2cef', '4167c7cfb2795df7', '3c0c7168c5511e40', '7660185a4eb5a8e4', '93c2551e816d3735']; context = [[0, 43], [1, 63], [23, 78], [58, 125], [96, 159], [41, 106], [150, 214], [29, 92], [1, 44], [2, 51], [146, 226], [12, 86], [95, 160], [78, 122], [102, 182], [6, 56]]; loss = 0.028093 low_pass_filter = 0.300
+Epoch 0: | | 34319/? [5:25:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 34320; scene = ['fa719ee3473f76cc', 'e95c2d95eab5d56d', '1c1498bebb83c9d3', '6d46096d2e3f4758', 'f9f7c878a39ba914', '4a8f8b21796393e6', '1c7d28f3b9b4ed91', 'dbff0bd4a366d4e6', '3bfa4ebac540c2ea', 'ab36a2706d3397eb', '652de212e9a8cb31', 'e1c98eb4b93bdc15', '442b8ca8e4a5a01c', '2fe5a6b92cc71b74', '727d3f54f1a28a77', '1daa5a27b4119f90']; context = [[102, 175], [15, 78], [45, 104], [1, 46], [63, 109], [43, 87], [42, 102], [12, 92], [80, 148], [11, 90], [39, 91], [49, 118], [22, 68], [5, 80], [79, 132], [26, 85]]; loss = 0.023101 low_pass_filter = 0.300
+Epoch 0: | | 34329/? [5:25:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 34330; scene = ['a34d97a9bdae3aa1', '88c6dd400bd1a841', '794d1ad842fcfa28', '47569a0a8b03cf52', 'ff6f4bc5c7418ff1', 'dd7745df945bd1f3', '6dbd9c1cbfa5cae2', '61d1afca444f54d0', '2842753b23031595', '41792d33faff0078', '6b8599ed53efce9e', '067940baf48fda1b', '97c5c9f0afb8e09b', '9cb162f4d5462a69', 'aab096b87db1f7f9', '60a98bd587a94fe9']; context = [[2, 50], [1, 45], [2, 77], [1, 77], [96, 139], [110, 167], [1, 68], [75, 136], [3, 69], [1, 56], [49, 108], [4, 82], [30, 112], [78, 155], [22, 105], [31, 77]]; loss = 0.023668 low_pass_filter = 0.300
+Epoch 0: | | 34339/? [5:25:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 34340; scene = ['46fee8f9d1cbb8d1', '989c98919c961cdb', '782479430e1462b3', '4a8a904ebe41be1b', 'faf4417f82796005', '7951c157ec363151', 'a0870b4576a48a28', 'c068f4700315920b', '775413f90c7109a2', '5992275ecfbf71dd', '59b0b8a36f30d4da', 'f973883bcd188d2d', '6e5e03ba88986c46', 'e64bf22802b6a5ea', '72b10d15231b751b', 'a5a27648fdade0d9']; context = [[31, 88], [8, 69], [36, 81], [10, 91], [20, 77], [8, 88], [74, 154], [4, 64], [23, 66], [7, 83], [5, 62], [55, 110], [0, 46], [3, 69], [0, 83], [218, 278]]; loss = 0.025888 low_pass_filter = 0.300
+Epoch 0: | | 34349/? [5:25:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 34350; scene = ['0cbef6047abffe2d', 'bd6e2f14b44c41a5', '17d44006a4595567', '26f14525b77ae661', '4e67afbcae5c4887', '001d2c4c4b356c43', '205b22cbaf84bf3a', 'a0867ed5680ab015', '59900f1fd9d060db', '7b47efdd91a80bdd', 'afa9df1446e5df8e', '14cb8b8217e05c7b', 'e816595b84559b3a', 'bec4d71b7c7995ed', '7dfa29a40bbe8e56', 'ae8dc35121d72fea']; context = [[11, 60], [146, 208], [38, 86], [127, 183], [1, 81], [74, 126], [11, 61], [170, 245], [111, 157], [7, 77], [2, 62], [16, 79], [40, 123], [109, 178], [189, 253], [33, 117]]; loss = 0.025389 low_pass_filter = 0.300
+Epoch 0: | | 34359/? [5:25:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 34360; scene = ['a6306412ec45df24', '91706de6963638eb', 'a8d2264f21b3ce2c', 'be59ebae485dadf6', '5f9b3778934721a0', '39e607eacf75eaf7', '01d33474e64e76ca', '01dff3e73e135695', 'f1107a1bee7889a2', '3bfec395b8c94681', 'b708eb4026ae8eec', '4afa06236618dc34', 'b783fd026ee69b9b', '0dd89c7680c86b9d', '31872a4e7ae8faf8', '053fa3b31bd31cf6']; context = [[5, 52], [37, 90], [31, 77], [2, 60], [2, 64], [16, 97], [1, 61], [149, 225], [84, 144], [2, 48], [2, 48], [18, 62], [172, 235], [0, 56], [5, 53], [4, 72]]; loss = 0.027842 low_pass_filter = 0.300
+Epoch 0: | | 34369/? [5:25:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 34370; scene = ['a52873b76bc23753', 'c084573502466243', '2d24de854dd09f2b', 'ec332f99c36bc7d6', 'f3240c7519b47306', '53aeb61ed80422d1', '663bf6b629560036', 'bed50122582298d6', '63a83a8d50d79f02', 'a7ec0334b3040678', '83da596fda844e13', 'c8a73564d8b4de57', 'f7b279a4f56e5428', '7fcfbbf8ce73e9f2', '288dd95c3585b110', '5ff87250a0eb913b']; context = [[1, 74], [66, 147], [43, 126], [43, 106], [22, 106], [6, 56], [0, 65], [7, 69], [70, 145], [41, 123], [13, 56], [139, 221], [71, 119], [49, 129], [7, 58], [26, 89]]; loss = 0.038114 low_pass_filter = 0.300
+Epoch 0: | | 34379/? [5:25:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 34380; scene = ['a2012fea65fdb1d1', '1d260e4bebf2c0e6', '1825e5c359626746', '3834d878ae1525c6', 'bd64124de2aaeb79', 'd8e1cd667f0c5721', '2cf102bb6b9d37e8', '027f46042d62d8dd', '40f122a087305b92', 'a0f9a5c04c8e602b', '2eca62a782bb02c8', '8de516bd1928f1cf', 'f13e60a7684a798b', 'c391c8fad43fdc03', 'c3097f56d04659c0', 'd7d963a5b41cbcf8']; context = [[130, 177], [97, 155], [40, 119], [35, 109], [26, 73], [9, 59], [106, 158], [3, 64], [63, 126], [27, 85], [21, 71], [58, 137], [1, 52], [2, 55], [5, 72], [0, 76]]; loss = 0.026363 low_pass_filter = 0.300
+Epoch 0: | | 34389/? [5:25:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 34390; scene = ['3c692507a0a83d02', 'e60726e96c92ea50', '210cf1a3bb4a8bf1', 'b7168a9c1a6ec502', 'd15fc66cd14bb973', '404b4791b64c6df5', '53a047ae113b5b3f', '53754ca100a3c2a1', '1970a18a09507fc8', '9f9213ddabd7bac8', '3df78a46912f03d2', '7ac1e20b737a9707', '576d18e9ac5eff2d', '2028e7685d576a9f', '6d30b36107c16f16', '0f7bdf40fd6390b2']; context = [[191, 255], [30, 99], [29, 84], [6, 65], [10, 71], [2, 65], [170, 251], [8, 83], [151, 208], [10, 60], [183, 258], [15, 69], [113, 172], [11, 92], [117, 161], [36, 105]]; loss = 0.024877 low_pass_filter = 0.300
+Epoch 0: | | 34399/? [5:25:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 34400; scene = ['a4978d1996610c90', '59133f255b9d7921', '9a4703f139e789c3', '85e5486f71014fd1', '81f6a01b1cabb627', '2b1431735255ece4', 'a6d4cdfe24179caa', 'c48b5fc08f001f99', 'a13334b6ed0e5938', 'd0b3f6bd660985a2', '8452d5eb31590517', 'b438e71fc71a3e83', 'ae60de24dca7d5c9', 'ad56842663d10450', '93da955d2a4af2bf', '749b806a35c1bdf1']; context = [[114, 175], [2, 45], [14, 85], [15, 59], [34, 99], [1, 67], [11, 70], [47, 115], [93, 146], [15, 74], [178, 259], [47, 117], [158, 219], [11, 62], [15, 80], [27, 82]]; loss = 0.026230 low_pass_filter = 0.300
+Epoch 0: | | 34409/? [5:25:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 34410; scene = ['4738c550464831a2', 'f8d2e1da9fab8c3e', '5f820c5b6e0c0664', '4ada344aeea4b8ad', '652d6e93f1197250', 'd99a74faacce0325', '4d8fc16aa60bba1f', '25a02e81213b023f', 'b2d49c84a61c4983', '6610d80f8edf23ee', '68770587ee99ce5c', 'b40f4f82b98255d4', 'ab6600ef83892674', 'f1b3a5ea8e5b5c49', 'b1b3445652e40300', '9622d9a4e65bd2b9']; context = [[36, 96], [10, 93], [10, 58], [7, 57], [189, 257], [88, 139], [202, 276], [109, 170], [125, 208], [11, 54], [30, 73], [3, 53], [92, 141], [158, 242], [148, 216], [8, 59]]; loss = 0.025457 low_pass_filter = 0.300
+Epoch 0: | | 34419/? [5:26:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 34420; scene = ['f5c8d1e28d1755ee', '523de06262ca8188', '3347a0d7e17c3a9f', 'cbfae700b0802703', '65911963a46bcb83', 'f699191b86f38a08', '527ed10de8647f13', '8b700c2734f29339', '5dbffdf5e936ee74', '06478c4b8a84db0e', '340f5087521b0117', '521fca1af7388ac3', 'cb524479156837a7', 'da3ff7fbc613e687', 'a1de15d31837b1df', '55668f4c760d49d4']; context = [[31, 92], [25, 72], [4, 64], [5, 77], [31, 90], [31, 79], [62, 106], [126, 181], [21, 78], [29, 90], [120, 170], [1, 53], [154, 232], [134, 215], [4, 49], [10, 66]]; loss = 0.026536 low_pass_filter = 0.300
+Epoch 0: | | 34429/? [5:26:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 34430; scene = ['2cfc0d81293f8b81', '3c5242b434fdef8a', '0badb8c0dfa8d328', '9453fa28dfd12dfa', '78dff24134373857', '87e825ae30a124de', '066e63a6755acf80', 'b62bfc8b7c12625e', '5d02873ad626d986', '0ec6f123efb145d8', '882332e6c6912661', 'd90c624ad63cd48c', 'b49869c858d66e39', '1c9f469940116f01', 'c24195c8d6c4f8c5', 'dc72e7a087e05c73']; context = [[3, 72], [42, 89], [12, 61], [44, 116], [11, 85], [122, 197], [8, 56], [25, 80], [6, 52], [6, 80], [4, 84], [8, 51], [42, 105], [0, 74], [5, 85], [13, 66]]; loss = 0.023692 low_pass_filter = 0.300
+Epoch 0: | | 34439/? [5:26:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 34440; scene = ['50cdec1a4d15c162', '797430d383cf7e24', '3565e580c537c111', '480e8122be62a73b', 'ff5c14fe7d64c752', '119e7ca7b87cbde3', '891b961086b8c3c1', '98f9e6a5b0475808', '362336fc9e531a0a', 'f8f773a036b4752b', '370ed12221433e23', '6408008d0dcba73e', '4ad5cecab1988512', '6f8b6524e87dc23c', '85b228978708e76c', 'ec69b3992e315a79']; context = [[6, 63], [193, 268], [28, 88], [41, 84], [50, 118], [42, 123], [159, 233], [131, 186], [31, 111], [25, 85], [7, 81], [22, 90], [45, 91], [20, 85], [198, 254], [31, 101]]; loss = 0.024546 low_pass_filter = 0.300
+Epoch 0: | | 34449/? [5:26:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 34450; scene = ['cd2d5446f028b0dd', 'e3039931ad850b3b', '5fd67c044c52bf60', '99ceabbc97e0d7a3', '80c55d2356cf1eef', '145f629d9977445a', '28be4c2b9208df0d', '32a48aa0880e2c07', '4a6928c68a058ede', '0119a515554e72f6', 'a6c4fb00735bd61a', 'c5041e8f980b93e6', '9566fd91f2dbfc6f', '6484999915205218', '812572d41fa01fde', '982e78e4de84016d']; context = [[109, 164], [7, 87], [56, 104], [30, 96], [4, 68], [20, 82], [30, 84], [2, 68], [3, 59], [6, 78], [23, 80], [63, 135], [64, 112], [13, 63], [12, 69], [116, 177]]; loss = 0.032447 low_pass_filter = 0.300
+Epoch 0: | | 34459/? [5:26:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 34460; scene = ['3f1f6c65bc38ba4b', 'ecf44fdec12c9ddc', 'ece06aa8ec578fc5', '72655eb92e7a819e', '5635caabe31c654f', '532b4823217b37f4', '8379b59afe807099', '4828d3b7ef441838', '02a9f1d0c440516c', 'b8d7dad69da49e51', '62e2c4c0f76a53e8', '196e7292497fe4a3', 'de2eb4f6f8635fff', 'e5acb4c6ebf8af27', '26478c3488603e09', 'cc7dcffc9cba38a8']; context = [[50, 123], [72, 124], [0, 73], [79, 152], [145, 205], [61, 140], [71, 125], [140, 203], [23, 73], [151, 207], [31, 79], [18, 90], [18, 100], [33, 90], [40, 99], [38, 82]]; loss = 0.034771 low_pass_filter = 0.300
+Epoch 0: | | 34469/? [5:26:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 34470; scene = ['7f5e74372632e88a', '2f709b926f593fcf', '2f47027fac0c598b', 'fd84675a5268e518', 'abf952722816c296', '3fd549f7eef1c12b', '4a08d8aa17ee55a3', '5e7040c6384bdda7', '3a444379f8c5e5c0', 'fd36e02a115899ff', '9d46e65b9edc9c15', '8a37947c1ad8c097', '10491baf9035e557', 'b20f139496853291', '651e203d4e42216f', 'f2931f6cbcc0ca1b']; context = [[3, 61], [13, 69], [2, 53], [19, 75], [48, 126], [59, 108], [33, 98], [34, 81], [178, 239], [13, 69], [65, 123], [40, 85], [53, 114], [96, 147], [2, 82], [26, 70]]; loss = 0.035533 low_pass_filter = 0.300
+Epoch 0: | | 34479/? [5:26:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 34480; scene = ['b122086151399fd5', '2c53bdf1a35452f8', 'bbbddf57652d18ec', 'e4be2654b2b3e04d', 'af25eba8540f9cc4', '3685b42d1bbf7134', 'fb64ea010bd16134', 'd980c2148fcffb71', '4104b0bfb2c156ca', 'ccc8d58e0d033bb7', '3c5ec5198ce3f629', 'fa1283a15a087b2b', '9f6c4b30083b6e63', 'dc98ba58263487cc', 'd1d9e2aaf137d7b1', '2662634641e640da']; context = [[4, 64], [98, 158], [189, 249], [76, 130], [18, 78], [74, 153], [17, 72], [9, 78], [103, 181], [13, 93], [55, 128], [10, 62], [1, 54], [12, 83], [4, 68], [7, 53]]; loss = 0.024610 low_pass_filter = 0.300
+Epoch 0: | | 34489/? [5:26:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 34490; scene = ['b7de6d5965f4037f', 'd1f43e65f28ce3c8', '6cd738daee326500', 'e4169ebd4ebb1035', 'b9e1ba841aea9863', '2e8f22d6e88e516f', '1916b24e81c1a30d', '0825ae880bd3922f', '4526168c5b011f4a', '3e7cf13b44a04cf3', '6f4a53d9777183d8', 'd1c829d1f1825d24', '75e5ba7e7fb64fc0', 'ac5df5f432218bc1', 'd0aafe6b7593a8c6', 'accfed2fa6ff849d']; context = [[9, 64], [71, 125], [19, 62], [10, 69], [35, 98], [1, 77], [29, 101], [9, 53], [0, 73], [98, 182], [23, 82], [190, 270], [182, 242], [0, 43], [19, 79], [86, 139]]; loss = 0.028690 low_pass_filter = 0.300
+Epoch 0: | | 34499/? [5:26:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 34500; scene = ['0e312299aada689c', '818fb2e314a810cb', 'c349ef13e27da92a', '43558297b3bf32c5', '3209d1a9fe4edac3', '10c29deb681b55cf', '2ce944c8f052910e', '829dca1fdf41c748', '798554da3b801bfd', 'a886961a446251d8', '5d707a2d57727069', 'd585e74d7e2b840f', 'ea79dc836a78061d', '525bdd8b89129054', 'e852d57c6de796cc', '83f01c4310f19278']; context = [[57, 103], [53, 108], [9, 81], [115, 184], [128, 174], [4, 78], [107, 179], [3, 85], [3, 66], [49, 114], [164, 226], [16, 78], [22, 93], [5, 56], [36, 82], [14, 79]]; loss = 0.027819 low_pass_filter = 0.300
+Epoch 0: | | 34509/? [5:26:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 34510; scene = ['fea9de2cc9e3c9f4', '9b466aa794f2a952', '71df83fbad5e8161', 'd09259776759df85', '3948c903131133bb', '2926375ddae07bb9', '6dfa54a298bd9f1a', 'e90aaffa44f24d62', 'f69e99e1af925636', '0de4e1d6b188215d', '456580073fef681e', 'b9e81e1ba5472560', '5f70f2502a815d4e', '1b5aebb31dd24255', 'bc7a9a900e57d08a', 'f2db375a31ceccec']; context = [[36, 107], [158, 228], [19, 94], [15, 77], [56, 113], [14, 73], [147, 201], [2, 72], [0, 62], [8, 73], [0, 63], [173, 245], [14, 62], [0, 67], [5, 84], [188, 245]]; loss = 0.027626 low_pass_filter = 0.300
+Epoch 0: | | 34519/? [5:26:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 34520; scene = ['1c8a1e8e21e118d4', 'ac37a208ed2030a6', 'c7f0f87a38472823', '01e5b8b1904b4622', 'c47ae12f973280ee', 'd3591aba84464e08', '4a2501aeebe9962a', '01049871f9386ff4', '695c14900594d5fe', 'cb2838e643020f8a', 'f5e853419c79ba74', 'deb89227ca60cfe1', '5df015e02121ad14', '7f1b737c232c590c', '5a44d73ad482396b', '43a4ab866292cf81']; context = [[51, 114], [8, 82], [1, 84], [140, 216], [62, 130], [1, 54], [37, 117], [3, 76], [114, 159], [15, 77], [2, 71], [99, 167], [1, 68], [44, 114], [127, 184], [176, 225]]; loss = 0.025773 low_pass_filter = 0.300
+Epoch 0: | | 34529/? [5:27:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 34530; scene = ['2cf0d10ee85e7610', 'f320770af3c253ac', 'd2eed88e19cfd9ca', '53dd78c4ec2ce869', '8fb02cdfce330637', 'cb95cf9b7735cf11', '85abdea85f9965c7', '68a409152fc28a55', 'd0e60247bcdb97b2', '2e9292655d0d4dd5', '44ded41b9cf45aa9', '3b66d0bc7c21a606', 'a911a110601a4ca5', '6ab57cd9157e6a56', '01321cb2acbc1789', '9e15e6abde58ecd0']; context = [[150, 201], [11, 79], [11, 71], [28, 85], [46, 107], [80, 128], [0, 69], [97, 143], [7, 70], [51, 125], [0, 81], [8, 71], [89, 164], [34, 90], [5, 83], [5, 69]]; loss = 0.025046 low_pass_filter = 0.300
+Epoch 0: | | 34539/? [5:27:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 34540; scene = ['a09faa0838bbc204', 'c1440b721583301b', '92ea8cb5f28d80d9', 'db055fee570cf6f3', 'a0fa5b9c6505db2e', '309042ec8c6f37c4', '87b0a7452f438a54', '202ff0e0f9efa848', 'e73470c1138defe5', '67f4d95b24735dbe', '5343d2fd1ac864f8', 'e779a9ee81f81494', 'f542fb988f4db656', 'e12b43af55ed97a8', '2ad7b1453cf18a65', 'f5c8d1e28d1755ee']; context = [[3, 58], [70, 153], [4, 81], [68, 140], [0, 78], [108, 177], [4, 58], [113, 188], [2, 63], [21, 69], [38, 88], [0, 82], [10, 53], [84, 146], [1, 44], [23, 87]]; loss = 0.032628 low_pass_filter = 0.300
+Epoch 0: | | 34549/? [5:27:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 34550; scene = ['231b021798b62c23', 'b6a96ac39415c7eb', '226569acae0ad65f', '68657e48548014c1', '7c492dbf0a2e0c05', '7a6106a2f6d489f6', 'df35aea10caff8b9', 'd73ac1e92d6afa48', 'bd7796c1a1f89789', 'e74ae258141bb639', '2609a3aebef8754c', '5bcaff024cc940a7', '7d84b08aa4859b2c', 'eeef009fa73f29c6', 'f699191b86f38a08', 'a1de15d31837b1df']; context = [[45, 92], [66, 148], [96, 168], [5, 71], [1, 45], [80, 157], [128, 206], [4, 53], [104, 184], [203, 247], [15, 88], [8, 80], [5, 85], [39, 99], [2, 75], [3, 49]]; loss = 0.028884 low_pass_filter = 0.300
+Epoch 0: | | 34559/? [5:27:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 34560; scene = ['ba00c4e1f8ac58b8', '067a04bebdcba8e5', '74158d4151f8db38', 'f8d4d509f7a298f9', '3ce0fba2c29095e1', '51f747ae14bb6624', 'defc305c0789a4ae', '308f361c51a894d1', 'b34bb345758860c9', '980309aadec30d17', 'eb70d13262cb7a89', '9fdbc9cafad2c45d', 'f8f6815b4603e249', '2f26c0137ec43a4d', 'e87d9633b850b7fc', '28d829a36cdbd510']; context = [[12, 82], [8, 66], [9, 85], [28, 91], [20, 68], [7, 63], [18, 64], [52, 109], [0, 48], [20, 93], [5, 65], [137, 180], [1, 72], [14, 88], [0, 81], [0, 67]]; loss = 0.144283 low_pass_filter = 0.300
+Epoch 0: | | 34569/? [5:27:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 34570; scene = ['855c09afe59dfa4d', '073556c6f86adb40', '88083e09dcd71e86', 'b6b2f105982f9a00', '76591f97fbcabbfe', '7036714988a42b40', 'b3565cc29d609e00', '12c4bf5b80f0ff46', 'ed9856a72ec8a92f', '4ea7a2331c46c572', '8539028ddcf147af', '6a9afe3c40c97c88', 'df78124596454938', '9497d60823d53c30', 'cc36592f7efd1256', 'b39fb5a378831f09']; context = [[44, 123], [0, 44], [33, 109], [15, 72], [14, 75], [13, 83], [18, 91], [195, 266], [60, 117], [9, 76], [106, 166], [39, 114], [77, 120], [1, 48], [8, 68], [11, 94]]; loss = 0.023783 low_pass_filter = 0.300
+Epoch 0: | | 34579/? [5:27:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 34580; scene = ['e7d4009259e5cdc4', '1f30743a571709fe', '08435fff1c2ec4d8', 'a2943efa8ad785fe', 'c375ecb71ca086ef', '3bc2b7c5b2244a9f', '1a3bff76c4749487', '9a73b99bc19ffd65', 'a33a602a48346816', '920891e5bfb74f6a', 'e28ac2de4b57c0fd', '581d57e13e40094d', '2d6d43d47da3ded3', 'd7c0ebc89793e158', 'b428645647d53e65', '7a495a81c692dca7']; context = [[45, 117], [97, 158], [197, 278], [23, 66], [0, 81], [13, 59], [7, 53], [22, 88], [9, 59], [8, 84], [8, 86], [1, 80], [51, 96], [37, 100], [46, 119], [28, 102]]; loss = 0.023133 low_pass_filter = 0.300
+Epoch 0: | | 34589/? [5:27:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 34590; scene = ['309cc5b6851a98d2', 'f63080f9016deff0', '311590a1d4eb0250', 'f0a4dbea41f2d807', '38e8301a4405eca6', 'cc8e19c8ad1846f4', '18142d2a72ad8925', 'db1f52253a43d24a', '4ab0fc22f4d9bd6b', 'de1f080af877df76', 'b88f894e76cd5f18', '6093fe2362714108', '992f739dba95f93a', 'e1e317857deb7afc', '631fadaea18e58bb', '675f6247a673b21a']; context = [[44, 117], [203, 273], [90, 147], [160, 233], [7, 63], [60, 140], [18, 76], [18, 72], [0, 50], [89, 158], [65, 109], [25, 79], [4, 52], [99, 178], [5, 63], [156, 202]]; loss = 0.029823 low_pass_filter = 0.300
+Epoch 0: | | 34599/? [5:27:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 34600; scene = ['2fdf1a58e1920cf8', '780c668f832099f5', '36020c6c8008b3b5', 'da6ab468a5630616', '2517e14bc498b4f8', 'cf96acfe14a34f96', '0284951ff54ee710', '609d6205bab3f9de', 'd4cc5c4887f72d3e', '52a2be44c9847115', '4eeece700a2f060d', '52983a3110a185fe', 'cb504ee449bf24de', '7db8c4965bba509a', '486ebc90daa9ee9e', 'b89c23fa87a9a65d']; context = [[110, 174], [6, 69], [23, 96], [1, 44], [0, 83], [40, 110], [5, 81], [29, 96], [87, 155], [65, 131], [16, 62], [41, 100], [29, 93], [0, 79], [11, 57], [77, 156]]; loss = 0.027955 low_pass_filter = 0.300
+Epoch 0: | | 34609/? [5:27:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 34610; scene = ['71ffdab54dd4d5a6', '09ab565950cc3b2e', '2809cd543b89ce6c', '4dace0a9778018eb', '5523e72be12eaf78', '297dc136d19e7ace', 'c736f11c968c7121', 'f563ae2c67ee8192', 'f46cd6716555abab', 'aa6baa58fe0e6823', '9954d8448441bae6', 'd5325aebc6be807e', 'd9cdc72f6ece8b25', 'd950e7899ea3c6b5', '5b6461227829a452', 'ab4998d89b2a8d5f']; context = [[5, 81], [8, 91], [1, 48], [9, 69], [13, 61], [44, 100], [17, 83], [20, 98], [93, 171], [44, 124], [21, 70], [75, 157], [94, 146], [1, 69], [2, 54], [147, 201]]; loss = 0.022341 low_pass_filter = 0.300
+Epoch 0: | | 34619/? [5:27:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 34620; scene = ['e63a00e8eea0af4d', 'a230e0de2c7e6bcb', 'dc045f980be4ef22', '62fb64631e202247', '505f84dee49114ed', '0f2d47fb28cbc808', 'aaa5735e7eecae48', '4a9973d7005d3fca', '42cb1d6d9caae5d8', '97a5b7691a70c955', 'e45c98837dae8246', '17967e4f66c09b0b', 'd73f44859940e79a', '88af5684bdc239d0', '1f44e8ba6f9ec746', '6564e787f68e8472']; context = [[5, 52], [35, 118], [133, 184], [0, 48], [48, 125], [59, 114], [18, 92], [0, 66], [14, 67], [5, 81], [121, 181], [29, 104], [21, 73], [157, 220], [119, 166], [55, 122]]; loss = 0.024319 low_pass_filter = 0.300
+Epoch 0: | | 34629/? [5:27:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 34630; scene = ['a92f224409e7c548', 'e829e2f10cc26843', '8399ffab2ef259e6', 'a7febe0745056a8d', 'd7ec76b4ef960ff4', '1a9fd6edb8506ad3', '01c9eb355dca4a73', '727229bd7a427966', '5e4ac2c13ad0dad4', 'f548180c554e2c94', '537fbc9d624c6a7f', '16d6e67e8993f797', 'e9916ce512982a66', 'd616c509aab55a69', 'e2c8167e5f23e382', '07cb8141561cae19']; context = [[55, 113], [30, 105], [5, 56], [83, 137], [5, 70], [158, 242], [127, 170], [2, 55], [4, 60], [21, 73], [3, 49], [18, 98], [0, 82], [13, 67], [43, 110], [38, 113]]; loss = 0.028999 low_pass_filter = 0.300
+Epoch 0: | | 34639/? [5:28:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 34640; scene = ['b2ccc67dc6c32002', '47608d00f89f6b00', '7c1434aba45e0e87', '99d75f5941fcd59c', '1a7bbd0bd3e7c3cc', 'a30cd3bcc7d000ff', '383986de290ee3a3', '50717215135b0a15', '6a0f9bf1977e6af3', '4f7038c3257a081b', 'e6db09df52382c40', '2d38cbb82e3fb1d3', '3de78a7d8061257e', 'bf2160e6311b9f9f', 'f7c60ce5a286c245', '511a709b7ffba3bf']; context = [[2, 49], [40, 92], [11, 65], [48, 99], [40, 98], [35, 88], [67, 112], [7, 81], [8, 73], [123, 169], [92, 175], [29, 108], [11, 64], [71, 121], [6, 51], [27, 91]]; loss = 0.030691 low_pass_filter = 0.300
+Epoch 0: | | 34649/? [5:28:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 34650; scene = ['bc137dc3e2ae2936', 'f3d9d961e7865bb2', 'ef5a917e58c55120', 'f26569d1f35138a3', '331af5a6f01ab41e', '72d1db88ce59f38d', '9e49f784fedb1794', 'bacc1bc08ba62c1b', '05cb5b63a8748a55', 'b0f843159172af39', 'a2b336d7b3ffbbef', '29deaf4adf22997a', 'ad48bd771da942e6', '2426a3b6e9584e27', '345430fd1625beac', '890f98089816e21d']; context = [[81, 125], [65, 115], [59, 135], [32, 78], [2, 52], [0, 46], [99, 181], [22, 70], [23, 66], [137, 198], [15, 70], [161, 212], [89, 141], [6, 73], [9, 82], [5, 67]]; loss = 0.026409 low_pass_filter = 0.300
+Epoch 0: | | 34659/? [5:28:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 34660; scene = ['17af71bd035c4f28', '27ec00bdc19a15e1', '88c699e2a02f443f', '4a298cfbc4fd5674', '11e172e433f7e055', '12945d32f3aa263a', '8de0ff88075b6afe', 'a3dcd56be6efe531', 'f4a60efb78719207', '177e31b9d7d375e8', '6918fe55c041fda0', 'f363288bb396d983', 'd12825d81e12ccc8', '874eb6a356e8b92c', '2ea6acc7bbabe341', '14cdc4b3f38acf3f']; context = [[50, 129], [69, 151], [6, 73], [81, 166], [4, 86], [18, 83], [15, 100], [16, 62], [77, 148], [3, 51], [28, 95], [174, 245], [73, 122], [51, 109], [9, 62], [1, 69]]; loss = 0.032511 low_pass_filter = 0.300
+Epoch 0: | | 34669/? [5:28:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 34670; scene = ['4816a2fde0c7ed8d', '664395507ed8210a', '07fd65b47bee9efa', '78cd9f9ff661ae79', '63e1901d4e20ddf2', '2373149495b9255b', '5563e48230d4d2db', '8c0113b9faa62237', 'fdd8371c6a869316', '8c311b5fcd83141e', '1f2afa101143e0f4', 'd7e442f09280976a', 'a0fa5b9c6505db2e', 'e73470c1138defe5', 'f542fb988f4db656', 'a09faa0838bbc204']; context = [[0, 54], [9, 80], [13, 78], [12, 60], [27, 108], [13, 72], [46, 100], [6, 52], [66, 147], [1, 44], [42, 91], [77, 144], [5, 80], [0, 66], [1, 54], [12, 78]]; loss = 0.032273 low_pass_filter = 0.300
+Epoch 0: | | 34679/? [5:28:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 34680; scene = ['4b1409aed425c619', 'f89505d66a282673', '6ba526a5287fd9bc', '581461d8b3991cc8', '0cde2ea2863d331a', '139dd6dc64abdf0d', 'e8128c97ff255dce', '4e22006021f75435', '60c933163b1dd066', 'd58a26d24f2776b2', '56dc189334276835', '4c642d93d29351f3', '8618897f9ed81371', '95149921755fb6a2', '09a24125f9b9fba1', '426b692c6b822861']; context = [[9, 88], [28, 76], [124, 192], [5, 83], [7, 52], [10, 94], [24, 97], [42, 85], [54, 122], [70, 149], [14, 72], [1, 47], [3, 72], [37, 92], [53, 132], [6, 76]]; loss = 0.025962 low_pass_filter = 0.300
+Epoch 0: | | 34689/? [5:28:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 34690; scene = ['fdb40b75798904aa', '29f5147ddbc77545', '2bafae5dc8516379', '7794424c1a5ebb35', '48fb1a0fe481d1b9', '56e65ff08a3eae6f', '8871964bbb2acd34', '4cfb4accd37fa01c', '601834a050761ae2', '424d637b6cc26ae1', '84e3aebc8cf7728a', '5db02c873a072b8e', '628aef9f0530a52b', 'ea35751c4ee60f5c', 'b766fb72e5b5daea', 'e29d926fd50d759b']; context = [[13, 78], [31, 82], [89, 158], [15, 60], [105, 177], [39, 115], [9, 69], [15, 78], [42, 123], [20, 80], [86, 137], [27, 72], [10, 79], [8, 74], [16, 89], [0, 59]]; loss = 0.023884 low_pass_filter = 0.300
+Epoch 0: | | 34699/? [5:28:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 34700; scene = ['c5a85f680c4f9c9c', '6cbbe9075b0d2138', '1e56c6d50221c84b', 'fb7776636c2a50b5', '92bc1a5a284f9e88', '06a16655c8e8ad9c', '186b6487fea252ab', 'a9936b77895f33b3', '5c04f350d4f1ce76', '89537268739ba071', '41dd55f0272aba33', '962ca8cb6c781141', 'a102f80bd807b881', 'bbd13ab6dbffa8e3', 'c7e626a8c3d071e2', '2502f2ed6eaa9583']; context = [[17, 89], [110, 192], [17, 95], [8, 52], [68, 134], [206, 267], [40, 122], [0, 46], [57, 127], [185, 228], [10, 70], [3, 71], [17, 94], [44, 96], [88, 166], [13, 76]]; loss = 0.029126 low_pass_filter = 0.300
+Epoch 0: | | 34709/? [5:28:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 34710; scene = ['903efe5f8a8e932b', '4b34e4a22e4a08ab', '8c4959742a47d9a1', '706210d8cd04e8f5', '559322faba1bc893', '84b2e0a015504fbc', '222acb29d1b3c2aa', '7326aa4935d38c48', '977eb4604758bcd7', '6149aade1b7de1c8', '977e456b8e36321a', '0bb14b8b474c9eba', '9749a18e36b8b4ca', 'ac56fc9d958777ec', '6d1a7f2061758a7f', 'db9435d8cfadb24e']; context = [[9, 83], [31, 102], [46, 91], [6, 55], [22, 68], [13, 90], [8, 64], [40, 108], [75, 132], [20, 97], [178, 239], [79, 134], [61, 113], [12, 64], [56, 120], [31, 83]]; loss = 0.027200 low_pass_filter = 0.300
+Epoch 0: | | 34719/? [5:28:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 34720; scene = ['9de327a8579e464f', '9d7027346728bebf', 'f2b680eb41354655', '3ce96ec09557434f', 'e41ab6a252e57d0c', '45a6c95be2ac580b', '29abe79174e04768', 'f990f04ead348fe0', '44cbbd7418d66552', '1ec4e8dc19eebef7', 'e5056d1efbf95610', 'b5e452fd635696a5', '6e87dece9971c8be', 'ebbd8c36a1a8d3c2', 'bac0bfd73b8c9335', '07e6f68d194480bc']; context = [[1, 55], [14, 90], [13, 91], [104, 177], [8, 93], [15, 90], [114, 169], [128, 197], [197, 263], [20, 75], [204, 267], [39, 87], [28, 100], [3, 48], [0, 44], [1, 55]]; loss = 0.026330 low_pass_filter = 0.300
+Epoch 0: | | 34729/? [5:28:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 34730; scene = ['ea6fc6e392e8f26e', '21578064c339c6f8', 'c72af13bb4dc1b96', '4e4547cb06d31609', '554c3a05bdd75ba6', 'd05a0ee5ba0c25af', '4eb0fb91ffe321e2', '1a261269ffa7e3dc', '43e26dd033c3ed78', 'f07b2f30f82c54da', '5f93a3611386fa2c', 'da1de03a9c3c0543', '19b4c5943e9f530e', 'd5684fa2b111efe4', 'c0955bccede2208c', '47a6a231c819c5a2']; context = [[54, 98], [6, 59], [7, 65], [1, 61], [71, 124], [22, 67], [18, 71], [32, 110], [17, 97], [51, 115], [27, 110], [3, 54], [1, 45], [33, 109], [5, 63], [180, 226]]; loss = 0.023547 low_pass_filter = 0.300
+Epoch 0: | | 34739/? [5:29:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 34740; scene = ['d96555a883c4685b', '820f797585813215', '85011721006086c5', '9044f156e5b0eff2', 'c67d163bb0a1e8dc', 'c1a6ef665d46399b', '9183740bb8b7200c', '318adcd55b71389b', 'a600bc71cd595f32', '9b5a0140c194ead4', '637bdb45beb6fb5a', 'f4ba6d204cb14df7', '95060b5812ce1211', '725fac3f3405f504', '43ffd13c1c002f54', '16d832ffbb1e7932']; context = [[192, 259], [5, 74], [68, 138], [20, 97], [8, 78], [215, 267], [9, 86], [49, 127], [161, 227], [45, 122], [46, 108], [57, 111], [2, 50], [16, 88], [7, 60], [13, 95]]; loss = 0.034114 low_pass_filter = 0.300
+Epoch 0: | | 34749/? [5:29:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 34750; scene = ['864a669c9e7a8458', 'ecd64b7c5f331ce6', '583e3ec452e3c93a', '9c343055e0d41a1f', '5647e5411224ac8c', '63df70e95bb89acf', '45c17dbd2ce88e1e', 'baed470fafab7020', 'f802f93da5bf1e00', '3296008fa5dc7b02', '21a5ec615b500bee', '83222e191a9467b0', 'd39bcb1fee36c69e', '2bec6e124cd3ebe0', '9dda63b4544559e9', '338d0fb7e58dd4a3']; context = [[45, 129], [18, 94], [124, 183], [58, 141], [24, 77], [8, 85], [178, 255], [148, 226], [35, 89], [3, 64], [26, 74], [85, 163], [6, 82], [175, 233], [1, 54], [14, 62]]; loss = 0.029782 low_pass_filter = 0.300
+Epoch 0: | | 34759/? [5:29:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 34760; scene = ['a530c8b4fa89b84e', 'c46f3f1ddfd8533a', 'debd6aa3bae1d248', '356ba7e96c3d9426', '5692ffde04b99f08', 'ef5c5a590e9d175d', '21a59c087d54a3d5', 'ad53a9b83fed259a', '242d6d1663e92775', 'e3ecb6ac54e97dcd', 'd90d8c4438b9c661', '3a6ee557219c7bac', '63748a57acd90980', 'a444a7437f926143', 'be0162a8cda21f9b', '5fcb79cdf2edd14d']; context = [[37, 104], [36, 97], [123, 183], [78, 150], [2, 53], [78, 135], [2, 47], [3, 68], [49, 115], [73, 141], [16, 100], [20, 71], [48, 132], [14, 59], [59, 125], [45, 104]]; loss = 0.024392 low_pass_filter = 0.300
+Epoch 0: | | 34769/? [5:29:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 34770; scene = ['359f5288f9335f3c', '33a7ac7a336c62ac', 'a64bc1a231c44593', '98fb604e2b221457', 'b4552394fff24c7b', 'fea578cc66e55e82', 'd5dba29fb7878ed2', 'b2d4b9ea541e9f37', '1cec8c9926ac8fd1', '3a2d10fe0a31c3ef', '86c67555e3f5eeac', '205d8b2ecf1e49ae', 'ada7454dfee40e08', 'cd566c3639e9892f', 'a6f6c23f072878f8', '977cd2725f6a4297']; context = [[12, 67], [7, 76], [14, 72], [1, 48], [21, 77], [65, 136], [190, 274], [118, 194], [1, 45], [122, 171], [47, 93], [38, 96], [0, 46], [72, 145], [15, 76], [28, 86]]; loss = 0.034504 low_pass_filter = 0.300
+Epoch 0: | | 34779/? [5:29:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 34780; scene = ['3cef7244ef6f7a17', '1c3d7dde3614506d', '65a46d20af8eb33d', '3d7564005d3deb83', '65e77aed6557394c', 'f370e2b606fbfca9', '56bef3bda335b7fe', 'ca85fd3a928e9b3b', '3da81d175b38988f', 'bc053a53376b6547', '67c392fa9c39f4a9', '415cb62a94b77e59', '41b821e9ebec0774', '7a1fc9f2f6a4db3b', '17234337105b4fab', 'e56a6d31db649cb9']; context = [[29, 95], [1, 55], [2, 66], [29, 84], [175, 218], [111, 191], [22, 93], [22, 97], [45, 126], [2, 49], [37, 116], [112, 169], [17, 99], [161, 245], [1, 82], [21, 100]]; loss = 0.127893 low_pass_filter = 0.300
+Epoch 0: | | 34789/? [5:29:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 34790; scene = ['2a79a8bd4edfdbeb', 'c1c0bf21704f2537', '9733a5e8b87112f8', 'd252bee31ece5667', '7e590944b3d09a44', '1b4dfb04c00df170', 'f8490421029f85c1', '858e46647610ba9a', '714d84e0be7d7dfb', 'f6be586b3b35382f', '3576553305e59d4c', '5e66f54d9b99573b', '5bef2ef0dcfab16b', 'e43d5ec97a28d779', '38f4d6848424acfc', '42b690cce34c81c6']; context = [[1, 49], [149, 201], [81, 135], [21, 82], [49, 114], [8, 67], [10, 92], [44, 127], [86, 162], [49, 124], [35, 96], [74, 144], [77, 134], [10, 81], [13, 67], [17, 64]]; loss = 0.045249 low_pass_filter = 0.300
+Epoch 0: | | 34799/? [5:29:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 34800; scene = ['04f105ada75a23a5', '2844cf44f8918214', '54dd72dab33e9306', 'e7fad36853161638', 'ba2c45a46d24a73e', '3cfeac5e37c2dd0b', '3849372892bb6536', '99f9f5508b34b909', 'abc03ad39b4cab48', '45cf7b4826be3134', 'ae86930f92675dca', '80851bab9af75349', 'e4854b3832ac68df', '3bf83c412718628a', '39afae4eeb04a70d', 'ca80b6da89913682']; context = [[29, 106], [3, 81], [14, 98], [162, 221], [53, 106], [62, 126], [5, 51], [75, 123], [58, 128], [82, 136], [89, 151], [65, 130], [72, 134], [4, 84], [49, 131], [3, 71]]; loss = 0.023813 low_pass_filter = 0.300
+Epoch 0: | | 34809/? [5:29:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 34810; scene = ['3e5688e17a5759f9', '3eb8a02384c27dc0', '18e413f9fb62451a', '5e1100d15bbf3576', '3959b49f7927b8bf', '4f1d842a3b3d0c2b', 'f5b66aa71f238b4b', 'd71f5355a475d8d6', 'b2b8d983b8d69312', 'ed1dead6fd873d49', 'f999c476a508cb6f', '9f882725c0081cc6', '61e23254619bafbd', 'cfa3baf6b753c939', 'cd8eef5537c3d725', 'e5eb77544f613cb9']; context = [[1, 58], [30, 98], [28, 85], [3, 71], [13, 76], [80, 126], [1, 82], [8, 92], [39, 84], [7, 89], [6, 74], [26, 77], [6, 91], [54, 98], [22, 67], [16, 61]]; loss = 0.022361 low_pass_filter = 0.300
+Epoch 0: | | 34819/? [5:29:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 34820; scene = ['ec94c6fff965a9f9', 'ca88e751361b34fa', '2c78821e19bd4ab6', '9ba631ec8a1568d2', '26a1ed10d188800a', 'b766fb72e5b5daea', '27ad0b1abbb2c06e', '035ba49c8074f0d4', '0e0a0ac08ac3e1e0', '78162a0cd3f50a08', '3791465d0f3b7764', '097049e07065fe6d', '7227ea629f2cc6c9', '4d433c9ba3cb7c33', '324638d0f0947345', '0535a1c8f3ff090a']; context = [[40, 87], [0, 50], [8, 89], [31, 83], [20, 95], [7, 84], [57, 131], [11, 89], [20, 90], [8, 54], [43, 90], [33, 76], [49, 122], [9, 69], [116, 177], [51, 100]]; loss = 0.029308 low_pass_filter = 0.300
+Epoch 0: | | 34829/? [5:29:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 34830; scene = ['edfedbf216dffdf3', '9b318860f17dd778', '8a307fdfce4832bf', 'ec1e22ee6784191a', '889363eed9b13277', 'd3faa50b5e4fbd6e', 'bd7b99bedcc90f02', '87b3478ab859b1c8', '5f6ff1f6eeba6fcc', '8096be2fbf236584', 'bc060d48a36d78e0', 'f1868b9a35ac85cb', 'cf3fa6c4bacc2e97', '11da16bd945c4985', '954d57d0d07c04fe', 'ea993320b24455cc']; context = [[0, 51], [83, 146], [151, 200], [76, 144], [57, 121], [22, 71], [9, 63], [18, 72], [8, 90], [29, 79], [13, 72], [63, 142], [18, 65], [98, 162], [98, 173], [25, 81]]; loss = 0.026560 low_pass_filter = 0.300
+Epoch 0: | | 34839/? [5:29:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 34840; scene = ['a96dae5ebf33ffe7', '391ef19154930976', 'ad613190a2fe993c', 'e15e6816a91d8735', '842f5177f9c7fa10', 'dbee8d73e5732008', 'c6d63a923255da1a', 'b30badb6fa628bcc', '44a10d88c58f6466', '95d8bc250047b07b', '3713795ff05b5532', '394d15aa7eded273', '6dadf9aab8856f9e', 'da6ce6f2020a638f', 'c5eca49edc45848c', 'f6dbfe4fe0048dc4']; context = [[24, 69], [0, 50], [46, 92], [28, 81], [18, 70], [45, 120], [177, 254], [54, 114], [176, 258], [72, 153], [17, 101], [51, 101], [30, 102], [0, 79], [29, 81], [15, 98]]; loss = 0.023298 low_pass_filter = 0.300
+Epoch 0: | | 34849/? [5:30:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 34850; scene = ['ebcf36a61df147da', 'b09d37e33a1fd1a3', '01bfb80e5b8fe757', '04d9e5ab7cd01669', 'dc388353f79426fd', '6fcf5dee2bf0c397', '0473e41b4ea751fb', '340fae9dee95db45', '4f71b7b1fe7b4622', 'c6d2893eaa53957e', '58860911781d94f6', 'c5faa3aabee36f71', 'c97f1c4911931200', '9931b92949a74875', '734b4d41bd350875', '47ac3ca0d635f78d']; context = [[24, 104], [7, 67], [109, 179], [60, 140], [160, 208], [73, 139], [1, 69], [42, 114], [23, 67], [106, 159], [0, 64], [14, 62], [55, 121], [46, 127], [46, 104], [3, 56]]; loss = 0.021974 low_pass_filter = 0.300
+Epoch 0: | | 34859/? [5:30:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 34860; scene = ['f80c7ae3e8c135d0', '9585609b1fe86052', 'a851d4797973dd8b', 'b4869cc97b14612c', 'f053d50764ded3de', '5cd649d23647e9a8', '212d150054874c3e', 'ce265bd6aca906a0', 'a8e9ca9fab2a02e5', 'ae58510a79871955', '592ade6974acfdb8', 'ea39ad8b69cc5787', 'c9154135faca16c1', '9e16e2db38feb337', '618c5651f735369b', '3eb6b3f90098d44e']; context = [[41, 99], [5, 74], [106, 171], [86, 146], [57, 130], [65, 144], [105, 177], [3, 72], [32, 111], [50, 116], [29, 107], [31, 115], [0, 75], [38, 95], [2, 47], [62, 141]]; loss = 0.029598 low_pass_filter = 0.300
+Epoch 0: | | 34869/? [5:30:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 34870; scene = ['03a4047c49065b31', '0691f3bd7ba0973d', 'bca61f1e9542ea69', 'e44b59a699ffcce2', 'd63160ea8db69f94', '4e70f8c8d569f01b', '4a13cfcfbfbf8887', '527eac78ac3e3012', 'de60b52ac3e7875c', 'd2025fb25b1b8d42', 'fbfbcba06045cc1e', '47d2189b091c3cbe', '39bfa783bf8eb056', '53b2d43b7f2a6077', 'edb02105a535094e', '56ffb64f1ac704c8']; context = [[52, 123], [34, 80], [50, 109], [21, 82], [8, 89], [113, 193], [0, 64], [19, 68], [7, 80], [7, 53], [116, 187], [171, 248], [0, 80], [153, 220], [1, 55], [115, 190]]; loss = 0.028505 low_pass_filter = 0.300
+Epoch 0: | | 34879/? [5:30:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 34880; scene = ['95c2ed222a35164a', 'f758f5285c4469d3', 'dd37bc253584d2c9', '14df1ec6e1403a7a', 'c6a54abbbfcc80c9', '1ba4449084852089', 'c27a6176daa8f0ff', 'a62a2b5b73c17bbd', '1f3df1c74f58790e', '3f439ee888325de4', 'cfc4dc915b4de82f', '97efb1c9d012a89a', '206c406cbb54c9d6', 'b16abc4d67655cb5', '714c3dc97fac769a', 'a5755fb377071cda']; context = [[72, 145], [60, 139], [24, 102], [10, 93], [20, 75], [48, 115], [33, 116], [2, 87], [51, 128], [119, 194], [148, 199], [116, 163], [3, 76], [19, 69], [24, 75], [53, 132]]; loss = 0.032047 low_pass_filter = 0.300
+Epoch 0: | | 34889/? [5:30:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 34890; scene = ['2d9d2b3d1a7fb3ed', '9e1fe1ef4c790152', '1f268c1c41e9163b', 'c579294a2271154e', '3b807d242f762c84', '4bbe383499f58733', '1c309c469ae5fdd4', 'a0771ce83b8273d7', '0c2de6c5be346d3a', 'd8dcea739eefd288', 'a5b5597f4927d94a', '9782a6bef3692f75', '1218972a2e7215e3', 'df98797933696d32', 'e67a6379398c3e3d', 'a73f18310fca46ee']; context = [[44, 99], [7, 55], [6, 62], [45, 97], [102, 147], [0, 52], [2, 60], [20, 93], [4, 82], [4, 84], [73, 155], [24, 101], [2, 62], [11, 94], [49, 110], [31, 86]]; loss = 0.023434 low_pass_filter = 0.300
+Epoch 0: | | 34899/? [5:30:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 34900; scene = ['eb210a3e80d6a0b1', 'c75420132c9168b5', '8110578b15c47f1f', '46e26d9e4f7a217a', 'fc4e355ff4418069', 'b6c3a53e03353aba', '1734517f6cc0f334', 'e891a88b9cc99871', '80d8eb571ab489c6', '2e111256e7da734d', '9c811e21f2a4e8bb', '3b8769e2eaa2a6ed', '7942468c0da54a11', 'dbc435f8266c0eb2', '5ec066485ed9eb74', 'd4865b6f9f2b3ebf']; context = [[169, 238], [20, 70], [2, 63], [185, 268], [48, 93], [14, 59], [6, 68], [1, 45], [4, 83], [89, 163], [51, 106], [57, 101], [9, 67], [53, 132], [5, 49], [12, 92]]; loss = 0.043484 low_pass_filter = 0.300
+Epoch 0: | | 34909/? [5:30:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 34910; scene = ['95a6fae4dbeb6546', '52079a38d11843c2', 'bb8a1e105ddf619e', 'c16752b5a01dec29', 'f4f0f0d4a554cfee', '3647ff5e90d6af43', '264e8509690b1ea2', '5e6e341001a8b693', '3e29b2bd42f47e28', '1d4fd7ebd76ae5c8', '954740f1e0accd65', 'c0ac407355970e00', '76fbf387304b28f9', 'd82ee5a0e75594a2', 'f2af153a34cd6c91', 'a3e5e6b0475c232d']; context = [[23, 86], [11, 96], [21, 83], [111, 185], [47, 105], [16, 61], [115, 172], [71, 117], [27, 72], [31, 95], [120, 183], [114, 178], [45, 93], [0, 53], [3, 77], [3, 76]]; loss = 0.020233 low_pass_filter = 0.300
+Epoch 0: | | 34919/? [5:30:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 34920; scene = ['967cabcdfbc3fb8e', '118c3c91d5820b5f', '7b1af6e7757d0877', '8a7fd47216cdb74b', '5e12f5864963b028', '62021cc0588d32cc', '885bb71067dd494a', '89955bb7df1571aa', '69dd80a600fb233f', '7f3e50dbc8f2d1e3', 'c1e8947897534f8e', '97ae84592e0a6efb', '8e026ade60f13e40', '9dfcd20a3d14d93a', 'f124c51972669c63', '6b19c6dd823a7cd4']; context = [[102, 178], [14, 88], [180, 249], [38, 119], [134, 216], [3, 74], [90, 153], [81, 141], [13, 71], [49, 122], [14, 63], [2, 51], [48, 98], [9, 55], [6, 68], [52, 132]]; loss = 0.031499 low_pass_filter = 0.300
+Epoch 0: | | 34929/? [5:30:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 34930; scene = ['e63caff82406317d', 'e60d3c2cbe8722dd', 'f585524ad6786b54', '8722a564706e204b', 'fee2852411318e54', '483061ce00126c3e', '9bd08fc9288bef8b', 'ef349fb3fcdad196', 'f1dab83bdccd9a64', '0cd41e6e6139e778', '3bf8bfb9bc7f89b0', 'eb5972716aff7e46', '7c8fa52ca0fba7cf', '1ad9f607c3524332', '53994168d1abe156', 'f949e83df942d2b9']; context = [[2, 76], [2, 75], [21, 96], [11, 88], [5, 48], [15, 76], [143, 219], [24, 90], [200, 277], [3, 52], [39, 91], [52, 125], [8, 65], [59, 125], [19, 93], [184, 258]]; loss = 0.030372 low_pass_filter = 0.300
+Epoch 0: | | 34939/? [5:30:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 34940; scene = ['aa9501b0fe74e3e2', '03ea09bf65357e60', '5d3adfd63b17163f', '3d9d33cc3bedad51', '9a32a8daa43d59dc', '27f95438492b1f5d', '1db541021f08c569', '16ad60739d062c0d', 'ce8ce7205c395b97', 'd2df2ab53964add5', '1b200ddb0e8760fd', '56357aac9db0ea9b', 'e6e9173b2c02d467', 'ae6a7d632401e500', 'bb5c97f528f03991', '2b6776be63239f3a']; context = [[57, 110], [28, 95], [6, 83], [59, 108], [69, 115], [5, 64], [3, 73], [84, 160], [12, 93], [3, 61], [144, 219], [3, 62], [10, 56], [4, 53], [35, 79], [5, 70]]; loss = 0.032410 low_pass_filter = 0.300
+Epoch 0: | | 34949/? [5:30:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 34950; scene = ['b077b634286dbbe9', '53a8bb87641bd35b', '7dd4d8b4dc082dd4', 'fc4e64a966b2af97', '42a3daae34acb6d0', '819b6af73885034e', '33d44d22ca5117fd', 'b8e76ea0476fe482', 'd4f1e8b6c1597afd', '84bf41ca4a80090c', 'eebc10a8972de7ee', 'a071d9276f6a9272', 'c7cf9b63dc3e5830', 'ff4a1fdcceb11eac', '3703cfac805ce3d5', '0013a39f3a02b5c3']; context = [[5, 72], [123, 189], [11, 54], [55, 126], [20, 95], [18, 73], [1, 46], [1, 63], [157, 236], [3, 48], [4, 66], [18, 91], [9, 86], [3, 73], [142, 197], [4, 70]]; loss = 0.057827 low_pass_filter = 0.300
+Epoch 0: | | 34959/? [5:31:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 34960; scene = ['8ad3918394be8d98', '1643b6a11a819f37', '9fb3173ad654a32f', 'b4049b5f74fe2c1a', '3370b1a40953d7ca', '7c6a8caf90ddc0fc', 'faf8b5d86e8b83de', 'a421fa44be30ccf8', '6f8b2d73ed0da2f1', '57112bf6cf251fe1', '9a8fd1d3cf706b89', 'a5f3bc6da5870232', '916ba32c24c8014f', 'b3ccb1e1003fcb6d', 'd8f23d503b820e53', '02a840608387c7e1']; context = [[49, 102], [11, 66], [82, 125], [31, 99], [38, 104], [5, 69], [50, 98], [57, 114], [45, 92], [3, 53], [21, 104], [219, 269], [1, 68], [13, 85], [11, 68], [1, 53]]; loss = 0.027573 low_pass_filter = 0.300
+Epoch 0: | | 34969/? [5:31:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 34970; scene = ['50e49715ebce4977', 'ca50f6571f20806b', '585e0ef0b3795499', '9884d764bc2c32d2', '239fc42dfe56a16d', 'af498312266f75db', 'a5ab814fbd107975', 'f322a0951e62a512', '6bf3cb7da39daba7', 'd8f03a844bbdc082', '71a6b1c554f95507', '8c9abf848e6741e0', '294ea2c50396e74b', '8d19d941ce56a547', 'ff6efbfe221dd063', 'e46969010a61dadf']; context = [[14, 80], [56, 136], [4, 89], [77, 154], [23, 82], [38, 83], [1, 74], [71, 154], [30, 76], [20, 82], [8, 72], [100, 171], [198, 276], [165, 219], [43, 111], [3, 54]]; loss = 0.027216 low_pass_filter = 0.300
+Epoch 0: | | 34979/? [5:31:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 34980; scene = ['8b3d605d4d8ec3b0', '7d5033ecd2b2d52b', '061e2dfaf96677fb', '86c8c9b0a6200b4a', 'c9a41c071845a38a', 'e66e9d07a140e364', '7d70798a0178383e', '6bbc8e2718708902', '54dd2fecd7c5469f', '3650acf4e144d660', '75d7982a76052a50', 'cc095b6f7aaeff1f', '1ff50e90731cd85d', '501a6f4480ce533e', '23fdcf065cab001a', '5c6eb6a2caa8b53c']; context = [[32, 91], [135, 198], [10, 95], [1, 66], [48, 105], [0, 79], [37, 85], [0, 66], [10, 58], [139, 189], [3, 88], [8, 64], [58, 101], [14, 80], [10, 73], [16, 99]]; loss = 0.033131 low_pass_filter = 0.300
+Epoch 0: | | 34989/? [5:31:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 34990; scene = ['254617dad29dbe10', '92748703bb1b6d5d', '39cfdecdae47bb48', 'cfe0e900b8299510', 'baaf19326049c7ff', '59cf6afcba8c9ed8', '28b36d3b9c32caeb', '268e549ab4dc165e', '2daf6ff811d97465', '3d93e6532fdc52d9', '3ea936468e7f9304', 'f8d3ad05afe92b39', '8f85d318571f0d5a', 'f99052aa7f75d58b', '8af19f867088ad89', 'bb3f4b8c39aa0f9f']; context = [[10, 70], [31, 112], [34, 95], [142, 193], [133, 195], [2, 72], [181, 236], [13, 71], [121, 177], [14, 81], [1, 67], [14, 63], [1, 50], [119, 170], [32, 93], [51, 136]]; loss = 0.025082 low_pass_filter = 0.300
+Epoch 0: | | 34999/? [5:31:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 35000; scene = ['b8de8389db018d84', '14b0e690ebe93088', '4b4be093763b85cb', '7d4d472e5aa5f091', '8203666c5a38b777', 'aea8d49b7a88adcb', '4d1e82c0aafe241e', 'ef0d594a13585996', '9b17ad14b3f7ef4a', '0bffdf9852d6b17a', '299a59047ff48dbd', 'f6b299e4bb55dcef', '0c844f4fc43d10a1', 'b56a19d615f09aaf', '5d120972a05d6520', 'fb2fc136084bf16c']; context = [[43, 109], [95, 143], [29, 73], [9, 93], [10, 62], [34, 85], [46, 105], [47, 109], [2, 51], [2, 83], [10, 65], [6, 50], [54, 121], [132, 207], [6, 87], [51, 108]]; loss = 0.026097 low_pass_filter = 0.300
+Epoch 0: | | 35000/? [5:31:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000validation step 35000; scene = ['33baf3e18e5d7256']; context = [[103, 146]]
+Epoch 0: | | 35009/? [5:31:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 35010; scene = ['168efc21cebfe627', '15592e57716c6463', '1b0e42c4f8fbb88d', '0a91ba693acb65d5', 'ede486da04ebdc56', 'b7264c9330e22b41', '33071a63b419262f', '49ca0e41c7487452', '7f7438bbf4ad4571', 'e61c4e10dbb5f3ea', 'b56e105ab403fa24', 'd48f435e37cfc3a4', 'f5ecf8999498edeb', '9eee26334d6e7ce5', '7418f9d1559d7180', 'bef54ada81871b7a']; context = [[170, 227], [2, 47], [8, 52], [53, 109], [41, 88], [51, 122], [5, 64], [106, 173], [12, 76], [22, 94], [28, 102], [0, 79], [69, 116], [28, 113], [37, 116], [167, 228]]; loss = 0.021329 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 35019/? [5:31:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 35020; scene = ['42e4f2d3c3e0772f', '63331dbbbfe80f5f', 'd61b2ffb090ab82e', '352b202e22235f10', '2d6daea339faff88', 'e701cbe6c42dc34f', '68d25ae85d2f5cae', 'ac85da0c05c229e4', '738543a84b2b0667', 'd9fad8315e43622b', '20e704cf9128841e', '023327e82b73dedb', '48747285d6af5672', 'ec9c761f8603d26e', 'c5e778adb95578f3', 'b11740540edffef4']; context = [[185, 264], [3, 85], [79, 127], [22, 99], [120, 184], [6, 68], [52, 99], [23, 88], [1, 81], [34, 81], [32, 111], [79, 134], [0, 71], [16, 62], [0, 44], [0, 47]]; loss = 0.028964 low_pass_filter = 0.300
+Epoch 0: | | 35029/? [5:31:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 35030; scene = ['9bae213a2e0667da', '00210fcc783d3fcf', 'c0de137715b6bcb4', 'c2d56785690fef5c', '29afe36e4ba597f5', '1ccc8946d683d79c', '33bf51a57dd21baf', '97d48083a9c554ef', '18c880b4b5ef683e', '64d3c9bb65afc239', '8cfd52fbbac85c10', '547cc94768c46e62', '5a6823ae4e594da6', '5f28ea540c35ef3e', 'c142bfbee1ce24be', '5cd1e4ec30cd1bf9']; context = [[2, 77], [64, 134], [16, 69], [99, 183], [6, 55], [39, 122], [3, 81], [12, 55], [67, 129], [5, 62], [111, 156], [8, 74], [93, 155], [45, 129], [16, 68], [206, 255]]; loss = 0.029131 low_pass_filter = 0.300
+Epoch 0: | | 35039/? [5:31:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 35040; scene = ['1d7c980a281df899', '66180223abaebc13', '7353c2be5dcb6491', 'b2973f598a485220', 'b3842ad806d9a13f', 'f7766ab4365bd6fa', '1e7d7ef1404597f0', '71968459b3168e4f', 'eba9df5e18faae55', 'a03503eb22f64a17', 'f99bc992403196a2', '9167e2ac51454edb', 'fbc71f6f2c124f9d', '4f73d609ce0ec6ac', '152ed7a6a53d7871', '30e0602692bddfba']; context = [[3, 49], [4, 79], [30, 78], [1, 52], [3, 60], [158, 209], [68, 115], [39, 82], [57, 112], [11, 65], [14, 75], [48, 97], [4, 64], [140, 208], [190, 245], [227, 272]]; loss = 0.024392 low_pass_filter = 0.300
+Epoch 0: | | 35049/? [5:31:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 35050; scene = ['a08583bd9e090720', 'c8389b5be0487fb4', '01ac1debec3ecd61', '35e7e6ab55881149', '61fbb526c33626fc', '8c42a0b02e4b80e7', '4d9de907289bb1b6', 'da500b24da7a495b', '979583f22bb73aef', '90b3a044d5c4522e', '5205c4ab691fab79', '3ba287815c2fa8bd', '643a17e2e87792a1', '90e70b66a637f14d', '9bf893735e9b1ab8', 'de61efbee4c2b1cd']; context = [[35, 79], [46, 125], [23, 93], [0, 71], [181, 263], [91, 147], [6, 83], [0, 80], [158, 223], [43, 119], [29, 90], [6, 66], [24, 80], [104, 182], [33, 80], [69, 125]]; loss = 0.027196 low_pass_filter = 0.300
+Epoch 0: | | 35059/? [5:32:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 35060; scene = ['3b55d9ff7f824fb3', '71ffdab54dd4d5a6', '49f6c049c206ddd5', 'f7ef5bb99bf643a1', '749f35821374f0dc', 'e862c113880c0181', '9cb7e3454afb2e2e', '3db359985be722e1', '5d296026f13a69f7', '7ff88bf82048bfdf', '1c4b3333173c4c08', 'e72f15ce7766ca25', '2f6e8ec2b14bf552', '6abf8136b97c8097', 'd6397502b68b1550', '2eb2b641fdcd0536']; context = [[55, 127], [19, 80], [131, 201], [19, 89], [119, 164], [0, 45], [6, 57], [94, 143], [35, 116], [2, 50], [54, 120], [4, 48], [9, 58], [2, 53], [48, 96], [4, 77]]; loss = 0.026935 low_pass_filter = 0.300
+Epoch 0: | | 35069/? [5:32:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 35070; scene = ['6e136887073748b6', '9781be61f9af7b83', '9cd1ed50bfed811a', '2072690f45c56622', 'bd94c41ea09bef33', 'acecfa180eb09ab5', 'fc977ce61dc2c120', '4a7068c1937a5c6b', '1978dd338fe7af51', 'a2ce0f3c92be23d1', 'a84f8bc94d706976', '0e015372167a4e79', '00aa25d111d218cc', 'f87b3a9daaa34629', 'ae59cd17e5fe684f', 'f22824c5468fb8c3']; context = [[2, 86], [46, 129], [6, 57], [121, 187], [5, 61], [181, 257], [18, 74], [11, 62], [27, 78], [56, 125], [109, 159], [14, 72], [174, 234], [8, 55], [3, 48], [110, 172]]; loss = 0.029771 low_pass_filter = 0.300
+Epoch 0: | | 35079/? [5:32:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 35080; scene = ['664a0d29187fa61b', 'e6b5da607845c44f', 'ef767501ebc1cb8a', '0b4dda84eff7509b', '95683816b2782fc2', '8e9c5434edb7e43d', '9bddf9777577b540', '56b0e5cd58300dc0', '4d08f6508693b522', '356f8e682d74a0b7', '3a64dab609df8d4f', 'd0bb62a1775b5dab', '2c46c889a72102d4', 'd87d256563a679ea', 'f4077924d862e6d9', '76aff96a8073da63']; context = [[20, 68], [43, 97], [27, 93], [84, 160], [2, 67], [25, 90], [37, 99], [3, 68], [183, 244], [20, 95], [11, 57], [11, 66], [3, 63], [17, 81], [9, 70], [2, 47]]; loss = 0.026328 low_pass_filter = 0.300
+Epoch 0: | | 35089/? [5:32:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 35090; scene = ['354f56e1fbe2b3db', 'fc0cbb9cab76a6e0', '8b1c4d754560c044', 'fcf7edbd43225708', '84463d4b276a6a65', '79c3bcdfe5f242ea', 'a37fb40adf2531e8', '31a0c9b48652eb6b', 'fc726e9da7ef022a', '7a915db6a6bfc2dc', '9bedb2eff1cc0ef6', 'e8a2f62859a3727d', 'c4c25091ecc2c5e5', 'e238437c5c59bf7f', '3ce0a9cc3874aee5', 'af973133388b427a']; context = [[4, 83], [1, 63], [50, 102], [12, 72], [55, 122], [73, 148], [21, 96], [128, 174], [0, 46], [1, 74], [43, 121], [8, 77], [76, 136], [5, 57], [38, 105], [28, 93]]; loss = 0.024809 low_pass_filter = 0.300
+Epoch 0: | | 35099/? [5:32:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 35100; scene = ['f87486ad60f4d325', '05c29d863074fdef', 'c6e306b85165a748', '2504fcc45f7737dd', '968cea950767945a', 'fa83934d7b66b475', '236ceca53fa65093', '0935c25ded763eb1', '35c68082e9967b8f', '96c58fa728dc5eaf', 'd6ca8c7121be7809', '34cd718b5402bb56', 'c90781a8c3550f6f', '8e6b88241cc7d11c', 'f09700f48fe43b7e', 'c5078f3771b597c8']; context = [[1, 65], [43, 103], [194, 277], [134, 196], [21, 72], [74, 141], [26, 104], [4, 72], [2, 52], [9, 72], [5, 89], [104, 175], [15, 58], [29, 83], [44, 99], [9, 70]]; loss = 0.025902 low_pass_filter = 0.300
+Epoch 0: | | 35109/? [5:32:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 35110; scene = ['e39974ca56f48929', '11a0410061415599', '77542628c9955b43', 'ce50e60b3d231911', '651dec57270e7a1f', 'b7cb64ed6212f961', '1170794da4c3f477', '1ef1a0860a3b465e', '15790a6ab4a1f516', '414b7d55b5fde684', 'c772fa408dae9acb', '8a063a94cfe50aa1', 'c2e29d5707c809d6', 'def54ce161678aed', 'd532d494f7050bcb', '59133f255b9d7921']; context = [[19, 63], [67, 116], [92, 142], [6, 52], [19, 86], [45, 121], [55, 128], [81, 140], [22, 75], [6, 68], [0, 49], [25, 97], [28, 97], [111, 169], [44, 94], [0, 44]]; loss = 0.025036 low_pass_filter = 0.300
+Epoch 0: | | 35119/? [5:32:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 35120; scene = ['a97c604082cdee65', 'd1dfd1bdfbeccdbb', '0f43aae34b1eb846', '44cfe7306f4e2092', '66c5f610bc4a8909', '9ffafe5ae44cb7e6', 'c97f57e4354ba28f', 'f897471b84a227ac', '7fa2d5cb57f1561f', '2bedb36d46b659f0', 'e43d2a7cd372f938', '571533d1bcdf7570', '7c95ece5379f4f34', '50badc3728c1f162', 'e02ed2926edaed28', 'bfa43fe391fa2d46']; context = [[131, 199], [70, 119], [39, 117], [30, 105], [6, 60], [83, 154], [1, 71], [2, 69], [12, 57], [0, 81], [19, 63], [5, 85], [11, 79], [2, 51], [81, 138], [37, 107]]; loss = 0.028670 low_pass_filter = 0.300
+Epoch 0: | | 35129/? [5:32:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 35130; scene = ['6a42ea1890a306e5', '37bc599a6783a226', '6e3486f534005c31', '165fb1e7a4e9671f', '39f0a44d63218621', '07685b64c9bd166c', '59f51dc04d5ff9e4', '395802511d26f32e', '3b1b8b689269bbbc', '2bbc66822b9eaba0', '4697b4c72f730392', '22d68157bb17502c', 'b94371329562669f', 'c7860cdfdd3a2f5e', '38e0917d61051a6d', '3b64aa64e8f04465']; context = [[59, 119], [1, 71], [153, 211], [29, 72], [104, 157], [2, 78], [4, 71], [7, 55], [9, 62], [6, 52], [4, 64], [7, 71], [20, 90], [80, 144], [8, 83], [102, 160]]; loss = 0.023496 low_pass_filter = 0.300
+Epoch 0: | | 35139/? [5:32:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 35140; scene = ['71da350128beda8e', '837e0e5f18d3ba68', '3e9d04e3d7dda317', '0bf674188c2377e5', '2c6da66ca288ecf2', '5fa60eb00fe9c983', '8e301c50431da386', '01166cb4cefb15d1', '24397127377dbd81', '464c4320ae4c4834', '2649892c4c56166e', '669a73d1c2d378f3', 'd2a67d5d2d55a04f', '2b03daae55bca39c', '7e5deb9e81477190', 'f9f240e5d3cc903d']; context = [[1, 46], [15, 95], [0, 48], [18, 71], [12, 66], [39, 105], [68, 115], [7, 55], [5, 79], [39, 120], [129, 214], [21, 103], [0, 62], [121, 191], [2, 61], [0, 68]]; loss = 0.027662 low_pass_filter = 0.300
+Epoch 0: | | 35149/? [5:32:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 35150; scene = ['7bfb1b21500018de', '52b8fa618de3a574', '9dec33b423274a53', '7619357a2ca5e1dc', '02500b1c8485a128', 'f81cbb189d1c34f3', 'a854e49858d06909', '86a4988309c5a426', '81b6cf7fd559d1c2', '4accbdaf2ba3e72e', 'da90497dc4a78933', '7c4abf90a9c2bb5c', '7440df6b4df2803f', 'd342e31b3af28208', 'ef0948bb2141d23c', '47941997fadc2c2d']; context = [[47, 98], [6, 59], [50, 119], [14, 70], [78, 129], [14, 97], [20, 86], [25, 96], [107, 150], [54, 139], [3, 84], [32, 78], [10, 67], [52, 103], [9, 63], [3, 50]]; loss = 0.025153 low_pass_filter = 0.300
+Epoch 0: | | 35159/? [5:32:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 35160; scene = ['f49328cec36f3426', '6a6351dd709a7f23', '76bfadca2713b90b', 'b1f0ea674605ee53', 'f47bf9df4635b7bc', '24a505e1ad056ff9', '24cec1d62733d776', 'bd4fec10278764e5', 'a02d73f77391cd9e', '17887dbb8a52cb83', 'fe02eaf3a7d21398', '986577a37b521a50', '3032f67485c3b01b', '50e81e168f35aad5', '9eb64d36e937beef', '1c1ab960acf9d1cb']; context = [[31, 76], [6, 71], [3, 61], [89, 161], [82, 138], [57, 123], [51, 125], [42, 102], [0, 45], [1, 47], [6, 50], [3, 75], [195, 258], [61, 117], [47, 99], [78, 133]]; loss = 0.029529 low_pass_filter = 0.300
+Epoch 0: | | 35169/? [5:33:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 35170; scene = ['19cc4ec8e21b4eb7', 'eb99648525600fdd', '7a92b127f35b7a6a', '31b5f9e254a8bded', 'a0f557e8837ed19d', '0b3eb7ab398a78fb', 'a908c16e18bef0ff', 'd3deda68d0401c99', '01199e81be41c98a', '3bfbf93e5dad570a', '54f437c95d89a7e8', 'b98f8d6397991a0a', '41e45fb36a6f26cd', '97be39180cf3419b', '31b89c53160b4f2f', '878900a19170087e']; context = [[57, 100], [45, 118], [4, 57], [10, 81], [4, 55], [40, 100], [18, 78], [50, 125], [94, 138], [17, 73], [14, 95], [54, 105], [104, 169], [43, 95], [42, 100], [2, 57]]; loss = 0.027903 low_pass_filter = 0.300
+Epoch 0: | | 35179/? [5:33:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 35180; scene = ['c221145e989e0ebe', '66a079896a5f5de0', '9127991e1bcbc9c9', '1cb7aee79f67faf8', 'dc7a324e7e3e0c21', 'e17be9060afc6084', '3fd8ffd6f16252ce', 'dda1c2d4bd25e6f1', '619fab5acfc50704', '589c50b99b3f9f21', 'eeaf662a58103c1c', 'b368f4b308aa5185', 'a4061f8f59c6fb6a', '643734c4546730e4', 'c8cc82055a21d0cc', 'aecffcdf88f13f3b']; context = [[66, 135], [15, 59], [8, 77], [50, 94], [171, 254], [48, 117], [7, 59], [2, 86], [4, 67], [2, 59], [30, 80], [14, 68], [6, 52], [66, 113], [0, 83], [9, 88]]; loss = 0.032548 low_pass_filter = 0.300
+Epoch 0: | | 35189/? [5:33:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 35190; scene = ['00a7a9c0ea61670d', '9ce015e049e794f1', '3333768ade9bae8f', '0faf6d493edc4914', '835fcebe0e9a911d', '8b6fc7cfa0e1de13', '2c2893932017a26b', 'e019f256c86c3ffc', '279f2ecc43905a1a', 'de0b5f163df22bac', '505f84dee49114ed', 'd73f44859940e79a', '97a5b7691a70c955', '17967e4f66c09b0b', '42cb1d6d9caae5d8', '0f2d47fb28cbc808']; context = [[0, 51], [4, 80], [47, 106], [87, 138], [38, 99], [71, 148], [124, 185], [29, 82], [44, 117], [3, 67], [7, 86], [17, 61], [23, 76], [54, 125], [13, 76], [26, 96]]; loss = 0.024144 low_pass_filter = 0.300
+Epoch 0: | | 35199/? [5:33:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 35200; scene = ['57edf016011a8725', '9e7a2c3e91fea1a5', 'ccc3c526fca2efc9', 'fb2237d2952644ae', '4cd5407ccbb727a3', 'e7a2deee0dfdfc9b', 'fbe21b4757833c52', '0d3951ef69a23501', '0e6b54a45061ff27', '84e4301303b9ce99', '8751d83c81e691b4', 'd7fa6d0a01a9bcbb', '9832efd4fc5ef172', '31dfc1a39af4a4a7', '164156530d3be634', '7615cbc4ef6c7051']; context = [[1, 49], [1, 46], [32, 104], [0, 44], [50, 114], [2, 49], [93, 142], [15, 88], [111, 189], [0, 79], [0, 43], [6, 50], [68, 150], [13, 89], [94, 174], [8, 80]]; loss = 0.027365 low_pass_filter = 0.300
+Epoch 0: | | 35209/? [5:33:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 35210; scene = ['c3f39ae4b7f1e3f0', '00c7627b596c041a', 'd96daf909ddb27cf', '7f4dca7fd5c06d2d', '262a073a6d17f7cb', 'fa0d3eb64efeae96', 'aa65027f8e9263e0', '0aba522b24ee4f65', '44903b0f7eed3549', '99898ddec952df0b', 'b83caf4688d7f773', 'e5ec53baa443456b', '6b03f3ad9c835c21', '90c1552eccdde512', 'e26067b30e26eaa5', 'a144d1791f033ad1']; context = [[92, 165], [7, 81], [143, 197], [71, 136], [0, 49], [3, 59], [1, 85], [99, 168], [14, 63], [34, 92], [101, 156], [3, 54], [5, 79], [30, 101], [13, 72], [29, 94]]; loss = 0.027672 low_pass_filter = 0.300
+Epoch 0: | | 35219/? [5:33:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 35220; scene = ['e9636b0d7cce7ab5', '340d6554b5a5d446', '5650b76126dc33b3', '120391d54ad880a1', 'eceaf2fe0853e0ef', 'f29f238654d44358', '4373673ff80633f6', 'a459b15b2cf89adb', '113a7c672823203b', '7e15d7ac4e6f9d15', '9dc164828900c1a5', '9d0bfbe5b7f98545', 'a7b3b1f8ad45f902', 'ab1c5358d3bb05db', '48128a0c25ba17b3', '3d4b9b728d676007']; context = [[17, 87], [7, 78], [36, 99], [17, 73], [73, 134], [29, 94], [16, 100], [88, 135], [6, 56], [3, 54], [1, 49], [41, 91], [0, 60], [1, 81], [0, 45], [9, 60]]; loss = 0.025398 low_pass_filter = 0.300
+Epoch 0: | | 35229/? [5:33:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 35230; scene = ['67d059492bf13057', '8900ca7b5ed830be', 'eed30eff53d92b9c', 'a96b7c383abb8850', '56de53a42f0632b2', 'e99547c40145a004', 'a287307f826a7aee', 'ebccf736e83cc7c1', '43a14409ee210cbb', 'd04b9bff4d629a09', 'dab75a4882cb6020', '4dde51f40224a106', '610e4d0305c657f1', '49a3f7ae3a565531', '0021e3be0043c3b3', 'fdea8b88ee5b83c0']; context = [[37, 100], [2, 88], [105, 182], [38, 116], [43, 129], [10, 83], [90, 176], [30, 74], [102, 184], [49, 127], [49, 115], [20, 102], [0, 49], [72, 157], [14, 57], [18, 104]]; loss = 0.035717 low_pass_filter = 0.300
+Epoch 0: | | 35239/? [5:33:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 35240; scene = ['5c4acbcb2726ae77', 'ab88a6b3b387dac9', 'b7aeefdcf8c006ec', '347a65acdefb3ab8', 'ca04de3c55cd1ca0', '03a09832e1472391', '84359e8e847ad96b', '8625891ed4d0cf38', '63be9c98ca2453d5', 'b1dabee1febd0442', 'ed10d336c38397e6', '9a5a417c708dcd2d', 'c2cb4c6265e53e9c', '65f21b4e27c1e26c', 'c50f58adfa650ab6', 'd06a79cd2c84ed0b']; context = [[48, 104], [23, 88], [109, 191], [0, 76], [60, 142], [15, 71], [19, 95], [64, 140], [22, 102], [4, 85], [0, 64], [2, 74], [13, 67], [8, 71], [18, 96], [8, 71]]; loss = 0.027455 low_pass_filter = 0.300
+Epoch 0: | | 35249/? [5:33:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 35250; scene = ['ec680845c6a7295c', '3f62df9974f73102', '54c8e9c778b2fad8', '1de9cd4f82ee4ea3', '26b8c9221b370a6a', 'b32de1c311763e38', '30ef5f553648df47', 'b81984c3db6d299c', '67fea88caebb1c14', '51c54c9b7f7598c4', '045404bb5789b725', '17d52a5b96e9c278', '702e3924eb797e62', '3f0671b3aab75af7', '197ff5c7287f0d9b', '1dcb240325fa36e7']; context = [[31, 81], [80, 129], [17, 83], [78, 121], [111, 169], [22, 82], [32, 89], [107, 166], [64, 146], [4, 89], [2, 58], [3, 81], [12, 55], [54, 104], [85, 167], [114, 163]]; loss = 0.026589 low_pass_filter = 0.300
+Epoch 0: | | 35259/? [5:33:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 35260; scene = ['c37054cf8ffe745a', '5d244ada6c250442', '6713a81ed431d91d', 'da127d5d82256afd', 'db25ce184054217a', '656546e561aec370', 'c8c116c28ca108b0', 'db062134f9dec5f1', '1c7f730db5d85172', '21dc12bbbe7810d8', '114849750993031d', '35defcd6d8369e3a', '3097fbf4e8e1cf6b', '3a362a67b9e12376', '926981007a66053d', '25d01adc0dba1ce1']; context = [[81, 158], [12, 62], [41, 127], [6, 60], [116, 161], [2, 45], [80, 157], [37, 80], [4, 78], [45, 131], [2, 64], [107, 159], [46, 115], [10, 89], [144, 196], [28, 101]]; loss = 0.024854 low_pass_filter = 0.300
+Epoch 0: | | 35269/? [5:33:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 35270; scene = ['d1efd406188a5613', '5958daa0530a7150', '412663a5d396046c', 'fdaef267e08ef3aa', 'b39aa70a6f60cebf', 'c7f8b0aa62eb8ebb', '58860911781d94f6', '7a7904319dfba47f', '734b4d41bd350875', '9931b92949a74875', '62d6461a71e298c0', 'c5faa3aabee36f71', '89f107ba4891dfa8', 'c97f1c4911931200', '3378631b363f8814', '47ac3ca0d635f78d']; context = [[39, 107], [19, 68], [141, 203], [118, 189], [2, 72], [79, 124], [12, 74], [39, 96], [144, 208], [2, 88], [1, 46], [151, 233], [155, 215], [68, 123], [1, 50], [2, 49]]; loss = 0.026232 low_pass_filter = 0.300
+Epoch 0: | | 35279/? [5:34:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 35280; scene = ['004a40da569ee807', '703860a4a2fc4649', 'da2b6199a9135d43', 'a741c7e0eff7ac67', 'd9fb64a51b499e43', 'e0e5ca65d06c4aa2', 'a50870dde2672221', 'b047dc9789779470', 'dff73d748dda6d8c', '12ca4e4975bb2a9c', '7bbc16f55a96e465', '8a02d21e625be4ee', 'b0c1009eeb7b447f', 'aefcd43f036bb40f', '1da214534aec3dbf', '91c1cbefd5264370']; context = [[30, 116], [4, 86], [31, 87], [0, 43], [0, 59], [1, 61], [128, 190], [9, 71], [153, 219], [140, 209], [5, 70], [59, 133], [70, 115], [0, 57], [5, 56], [15, 67]]; loss = 0.029387 low_pass_filter = 0.300
+Epoch 0: | | 35289/? [5:34:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 35290; scene = ['2005f0e5c1dcf4f3', '04dabeccd47224d5', 'b3d00cf94ec7c598', 'b050a2d77eb9b60e', '8cf869157be6230c', '006f41ee9800fecf', '5c9c06be50b78c13', '162c744bcf4469e4', 'fdcd78c4432bd860', '3af30156efa35d09', '87d369842c66fc64', 'b9aea5da640d739a', 'd6443c4840318df3', '9c9608ac2ebd5912', '4411a6eb5a900e40', 'c6d6e4afbfc319bb']; context = [[7, 56], [3, 71], [11, 69], [171, 217], [131, 182], [6, 61], [20, 79], [16, 65], [8, 62], [16, 60], [2, 54], [152, 225], [6, 62], [68, 148], [14, 57], [0, 67]]; loss = 0.028330 low_pass_filter = 0.300
+Epoch 0: | | 35299/? [5:34:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 35300; scene = ['b57b3bae192d05e1', '0764fc7d1ac310a4', '73defeeacbffa502', '33467eeac0c07e61', '38a709b9a18034bf', 'dbd17f73c27256d0', 'ef71162fc458a834', 'd6c447047a35a41e', 'aad2f8506adbabbd', 'fa957196fd3f3d44', 'f2a40abf0e21787d', '4c5243aa962d4277', 'd6ca8c7121be7809', 'd3b719a3855f8ba8', '34cd718b5402bb56', 'ee90605f5f0a4d2c']; context = [[2, 73], [8, 61], [84, 154], [84, 155], [8, 54], [16, 70], [9, 92], [15, 70], [8, 94], [7, 67], [97, 144], [36, 93], [2, 74], [52, 136], [205, 265], [47, 129]]; loss = 0.037661 low_pass_filter = 0.300
+Epoch 0: | | 35309/? [5:34:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 35310; scene = ['5ceded5edfceb262', '7c3476a62ce00a5e', '8f20f72494bf5bdd', 'f0b964cc96ba3d3e', '96cc4eac057b8f1d', '110eff3e7cfad06e', '4458d2b066bc5da6', '68ac9aca7a4cae97', 'a72b94bee0c0c469', 'afb48c56cc7ce3d7', 'd4f666ac0061eee6', 'b1fa3763e9862c47', 'b88bc7e2f6a64a68', '7353c2be5dcb6491', 'eba9df5e18faae55', 'a03503eb22f64a17']; context = [[226, 272], [24, 72], [3, 55], [7, 90], [29, 84], [119, 194], [0, 63], [35, 97], [58, 136], [19, 100], [0, 43], [2, 73], [2, 77], [189, 265], [178, 240], [1, 65]]; loss = 0.024623 low_pass_filter = 0.300
+Epoch 0: | | 35319/? [5:34:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 35320; scene = ['674e6f9d101f4061', '6c0c5d76c7684129', '52c8bb2604e9cd40', '2a7284b013df5506', 'b0bcab24a4966810', 'ab41878f4d98b685', '687fa81a5a3fbdb2', '5fd63ae2dff32d1f', 'e6bdfb9e4def7696', 'cc18aeb3246a90ba', '8bd5f958ccd6eaae', '4a01767309372d2b', '57ff7d61dab3539d', '43dcad54760149f9', '7e12b2b9d3173b0a', '93fbe83cd7085af2']; context = [[24, 83], [35, 116], [29, 84], [21, 103], [157, 240], [12, 63], [0, 71], [36, 122], [6, 86], [1, 52], [1, 59], [3, 78], [27, 86], [126, 199], [9, 56], [2, 87]]; loss = 0.111262 low_pass_filter = 0.300
+Epoch 0: | | 35329/? [5:34:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 35330; scene = ['d9835172ec7ef94b', '0f7e699b0d6c2662', 'ea850ce89b6b046a', 'f7da21f2c663dabf', 'ee5c6bd8fe1eecae', 'f1b6e93f27fd5770', '90a01a4bf92139d3', '8d055c85341ef5be', '8f5ddb008afa3cb5', 'efcc8e5b3e5c6ceb', '7816c7773e13c822', 'f6a5937f861bc798', 'b9088d10a87467ed', 'e3d545fddc61ad3f', '648c1c7710df04dc', '75ba1cf5e8ed04f0']; context = [[0, 53], [77, 126], [1, 77], [36, 108], [17, 97], [117, 176], [129, 201], [118, 181], [2, 45], [163, 219], [32, 86], [39, 83], [117, 184], [105, 155], [76, 135], [21, 66]]; loss = 0.090868 low_pass_filter = 0.300
+Epoch 0: | | 35339/? [5:34:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 35340; scene = ['28522eba1f933510', 'bec5a96b9f3d3958', '9118acc3b937529a', '0004866ca872087c', '8337a32969c365d7', 'fb3de7df9bcd21fe', 'fa2944a076811544', '99e524fca7e5a5d0', '5d82d56654db7bf7', '1296e02bdb6ad82d', 'ed8eeb9e0db8d295', '2a6f7c39b21c51e3', 'bbfc877f1b91118d', 'b8f77bd4fe87f680', '5ba33c04b7f4db27', '6dfb206dc1e977e4']; context = [[7, 60], [62, 141], [18, 61], [6, 84], [40, 116], [13, 84], [7, 60], [46, 95], [102, 151], [56, 99], [0, 51], [19, 67], [5, 77], [0, 78], [14, 58], [0, 51]]; loss = 0.024441 low_pass_filter = 0.300
+Epoch 0: | | 35349/? [5:34:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 35350; scene = ['785c577c10d1cd0f', 'd683f1b0a075297c', 'aa91057e660588a6', '74276916559f4ca9', '7f332d591ca1980e', '21b43052b04845cb', '95da46cc74bd865f', 'a57c3d7a98497d6d', '0a3c48bdaf8771da', 'a526a271a561bc23', 'f5c74a79946b8cca', 'dd941ae713c6c09e', '711eaae87d76ac0e', '1468285f818227c3', '96e650d88643f131', '0e3dd3714c78c34b']; context = [[13, 63], [2, 52], [47, 128], [4, 77], [62, 131], [5, 74], [4, 76], [65, 145], [87, 130], [6, 53], [0, 49], [10, 67], [5, 55], [4, 60], [7, 52], [80, 138]]; loss = 0.023040 low_pass_filter = 0.300
+Epoch 0: | | 35359/? [5:34:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 35360; scene = ['0df956c4d55e4a13', 'ed4fb330d57107ce', '8f19401489503eec', '246c5b6a15519b6d', '59caa671e1d05721', 'f63601b5eeb07187', '904d8b97e9e93373', '86850dcf04574a1a', 'e90f649b08e946ae', '2d90b55278e5d7cc', '2ba0c2375fcbc358', '2754f077aaec5810', 'ee5f3a9e09cd5820', 'f3bb025b57b61b5a', 'f9075514520de706', 'd8346f5dba4d79d2']; context = [[183, 237], [27, 93], [0, 77], [2, 61], [10, 67], [37, 120], [23, 82], [210, 262], [92, 167], [20, 81], [3, 49], [2, 59], [59, 129], [47, 93], [1, 46], [35, 91]]; loss = 0.032253 low_pass_filter = 0.300
+Epoch 0: | | 35369/? [5:34:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 35370; scene = ['ee847204f0e45a0c', '21a16d8faeb7671d', '0f0b4e5c07fd48fa', '6b241d02421eb171', '61e0721e6e6ca7c1', '1037ef575591ee70', '5cb64314cae6d591', '3ed6c0f3a5cbad8a', '5e67bd6522c51ee4', 'f01548ad052a4b31', 'f0d9970d8cfb6921', '43c46d517d6c3a38', '42de400e5f04f808', '6907e467f3ed0458', '290f47ced09ff47b', '6a6d50e32a74cb1e']; context = [[19, 87], [17, 101], [161, 205], [14, 94], [29, 110], [34, 79], [80, 152], [57, 124], [22, 73], [43, 94], [22, 96], [16, 69], [16, 99], [1, 61], [0, 43], [0, 45]]; loss = 0.025804 low_pass_filter = 0.300
+Epoch 0: | | 35379/? [5:35:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 35380; scene = ['ace591a332a2780c', '2ef7b8e6a0602913', '74224d25c8e85b39', '6ef51b06550c0d9a', '9007b3ae76d7a762', 'bf37156b4d92c7f2', '9adb29df30906ff4', '444acbb6c0877842', '0d9a105c2374b898', 'aa6f4e19536dbff6', '83c6fd3484bd4fd1', 'fe23698b552751d5', '4f6f5afc21c3700d', 'dea4f1344575ac36', 'd12eaa23dc8bdf11', 'f7de09db1a698fdb']; context = [[84, 133], [44, 123], [121, 200], [31, 104], [91, 175], [24, 92], [57, 126], [16, 60], [0, 58], [7, 71], [5, 51], [3, 68], [1, 50], [194, 254], [49, 94], [156, 209]]; loss = 0.028854 low_pass_filter = 0.300
+Epoch 0: | | 35389/? [5:35:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 35390; scene = ['b20b69d74585d878', '6df3bba71999762d', 'dc4cde40cb53c448', '88dc98e74deb6e1f', '741157d815e33610', '558e6d3b43990261', 'e2dd04a765274f4c', '63af9885dcfadd96', 'e5d9bba19e6090de', '100f95736a9884a6', '5285baf2ba809bbf', 'ed2c7aace887364b', '0d6e74470896232a', '2f2219164c52bbe0', '6cb7df2f1d711464', '61332cebfe33da87']; context = [[21, 68], [123, 176], [10, 83], [53, 105], [74, 155], [4, 83], [10, 73], [38, 105], [34, 119], [39, 115], [43, 109], [77, 144], [7, 50], [0, 68], [44, 95], [146, 210]]; loss = 0.020504 low_pass_filter = 0.300
+Epoch 0: | | 35399/? [5:35:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 35400; scene = ['2df270a308fce16a', 'b3bd757032c06692', '524cac36a2545b6e', '59c8185edac612bd', 'e647d3dca9afa2d4', 'b73ca7a033be2fe5', 'e3f69d6b8251e4a9', '26e28d2886638bf4', '1b2463f9d2759073', 'e291858411a38891', 'e8b4e52e3f875679', '52a73c0beebbd06a', '5e8ece99efe2eb25', '9e93f8bfdab92af6', '5f5147941ede5f85', 'b2ba6e81e399aa61']; context = [[68, 121], [6, 54], [14, 61], [45, 109], [9, 86], [3, 81], [3, 62], [4, 56], [22, 88], [14, 57], [5, 60], [13, 97], [14, 91], [53, 107], [75, 134], [3, 47]]; loss = 0.025938 low_pass_filter = 0.300
+Epoch 0: | | 35409/? [5:35:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 35410; scene = ['10ac5613e2e5cb79', 'd1a65bf92e622589', '72cd35a718e0120d', '9e02959687979c23', '862bca667f4bf63a', 'b17a4057ec690a1a', '10708f738dc1cdcb', 'f1d6506bce19c2a4', '0b7bb37506071244', 'fba3ed30e62af988', '6e8f51c971a54b1f', 'ebbf8fa5e83a4124', 'caab187b01c5f6e6', '95752980cc4659db', 'e2c09e4204bba297', '3e9af8bbf5d448cc']; context = [[6, 56], [36, 79], [29, 99], [54, 131], [51, 96], [35, 105], [19, 82], [24, 76], [15, 70], [125, 206], [32, 90], [8, 87], [13, 63], [3, 85], [42, 124], [5, 74]]; loss = 0.026409 low_pass_filter = 0.300
+Epoch 0: | | 35419/? [5:35:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 35420; scene = ['6e521142e65f6c17', 'fa6b4b8565053454', '1e901762e6303bd1', '0a76fe2e2dbe992d', '0ea602343e77c593', 'b28bf243cf3e48b6', '4d3229cd7d69828b', '7efc7102b3b079d9', '75cf72cbf86f26c0', 'e66b797b12d9b3ae', '9244db5b18e2b374', '9c8081404a3f7882', 'ca1fde2400756850', '75134d5964b209a9', '552dfd0a1d1ec11d', '5ea7115a2e255739']; context = [[106, 152], [0, 69], [47, 133], [18, 69], [10, 60], [10, 77], [65, 120], [3, 47], [42, 87], [165, 244], [44, 90], [10, 60], [55, 115], [1, 58], [8, 51], [3, 71]]; loss = 0.025524 low_pass_filter = 0.300
+Epoch 0: | | 35429/? [5:35:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 35430; scene = ['15076bf2743d9c16', '94dd477c1b4386e0', '2c3ae6fba185012b', '74c22eae5c48a79c', 'b719eff1b6efd965', 'ac74ac4b166c0b87', '8105bfe49468013e', 'a17c834f307ff467', 'b2af46dfc30a2b98', '6aba476ffd0b4320', '4d1ef055f0d5854e', 'f4b8e03f8512d2d2', '953fd237501e5b53', 'b889e10f246936aa', 'e8a8f9f332e58578', '8246780079add2ad']; context = [[85, 156], [10, 55], [38, 97], [128, 183], [44, 96], [29, 77], [7, 85], [2, 46], [3, 53], [18, 74], [194, 260], [36, 89], [21, 93], [28, 101], [196, 272], [90, 135]]; loss = 0.044234 low_pass_filter = 0.300
+Epoch 0: | | 35439/? [5:35:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 35440; scene = ['8c1ce54a9dcbb3fa', '8a6ae359f2c866b7', 'bd56736d1e772221', '1f1a57dd8880fd7f', '914f26b6c98aa85d', 'caff85cc563975d6', 'b894b3318d6590d6', '2335f520c6a59875', '7e85b8181b1fb058', 'fda12c961edaa2ed', '547435e53b6b3cb3', '27df9ee1be012ff1', '8b6c25d98b699b6d', '0eeacc044d6356aa', 'e0c4d841d11abf19', '9df62c48e94a6bd2']; context = [[15, 65], [135, 185], [1, 53], [26, 74], [8, 81], [50, 112], [10, 71], [14, 84], [3, 47], [49, 121], [10, 63], [54, 140], [16, 83], [13, 75], [70, 143], [5, 57]]; loss = 0.025854 low_pass_filter = 0.300
+Epoch 0: | | 35449/? [5:35:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 35450; scene = ['db139805c0d52235', '243515e0bc44ae29', 'ddc6e8abed84d947', '0c6abcc734bb3112', 'b062a28145350c16', '493047f10d617f3c', '202e6eee20bdcddf', '33d38bd50acba191', '95f22b8591bf4be2', '9c023f327ece2911', '8742bd2ab32b9163', '5ef7638cba2b3784', '5756ea589388bbbf', '96bf9a757d5e3675', 'd9245c9ac4c4abc0', '1a56e90c175dfdfe']; context = [[131, 202], [7, 62], [57, 126], [89, 150], [22, 68], [76, 139], [65, 127], [4, 77], [21, 86], [21, 67], [8, 52], [212, 274], [14, 63], [20, 77], [5, 55], [16, 73]]; loss = 0.030616 low_pass_filter = 0.300
+Epoch 0: | | 35459/? [5:35:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 35460; scene = ['8053ed847b0af4a1', 'd3632550fa9e2ebd', '9010748f8cfe88b9', 'c37f371024f6d632', 'cd04ab5dec574c93', '7a37989147703fe6', 'b6d94913365750d7', 'f689c2aa8c701b90', '289685420c8f68da', '5e027a4bea7f4724', '24887d4b62338558', '1fd54c9bd5b75d33', '34eef5463ac864ae', '11c4a7d67bc2629e', '70fa77c74fad4d72', '35c88d10a4ef8a95']; context = [[14, 100], [58, 104], [33, 94], [172, 240], [71, 120], [70, 135], [20, 86], [14, 59], [3, 71], [31, 91], [39, 120], [25, 77], [19, 83], [1, 58], [4, 70], [43, 92]]; loss = 0.026969 low_pass_filter = 0.300
+Epoch 0: | | 35469/? [5:35:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 35470; scene = ['0798c66d382f3f33', '6311f7f59a5b58bd', '2f95a104b58aef0c', 'c6a0f60507c5b23e', '9783eab48a41e20f', '117eb07d6c928f92', '97ca51807dd1ccdb', '3f79f389b6ba0ad8', 'd4294f7d5b241d04', '077972a0fc9c4962', 'd4e43250c96c98c5', 'd960d2f3dfb2a4d0', '43765e6135a1b51d', '7e43b61bc188c129', '3493d0e1fde910f1', 'a9139b3b3fda05b5']; context = [[103, 169], [37, 86], [37, 80], [10, 90], [14, 58], [106, 150], [57, 141], [5, 51], [25, 77], [3, 88], [226, 272], [5, 79], [3, 46], [122, 197], [5, 56], [80, 159]]; loss = 0.026038 low_pass_filter = 0.300
+Epoch 0: | | 35479/? [5:35:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 35480; scene = ['1b64868112b2ec1b', 'c431a52457f959a2', '98c52825e7ffac25', '1b88911bf16bb6ed', 'c5ac88f14d0b15ca', 'a402cc3003cb8785', '20b3dec78e071258', '5f64c40f03d6afdb', '879d7f9c93e40924', 'e2ae51feed803f16', '76bcd8986a0959e6', 'f50a0d6022e7e2e5', '439d54052f961970', '8ac9a36a33bf4aac', '5228a1b35d098521', '31e3f047172167fd']; context = [[24, 88], [61, 123], [5, 50], [70, 127], [159, 240], [2, 82], [57, 123], [28, 81], [36, 104], [14, 82], [24, 80], [1, 58], [92, 171], [54, 128], [85, 164], [8, 91]]; loss = 0.025468 low_pass_filter = 0.300
+Epoch 0: | | 35489/? [5:36:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 35490; scene = ['33fce97957833b09', '2066f797ae29e4f6', 'd47e75b15999fbdf', '0ecb8e2597c98e05', '46cfe90be78f1b48', '334353cf397fda8a', '244f5889c98e08d8', 'b2ba2a9226ab5416', '58579896a14a9718', '39add666b4236924', '0db524aed16843f5', '597d275f09b79f31', '3c23f9c44d4156dd', '21be445f191eadba', '462da395d2473142', '98813ff7feb96e8d']; context = [[37, 88], [109, 154], [12, 84], [19, 79], [74, 157], [38, 86], [179, 245], [2, 45], [75, 133], [65, 127], [175, 235], [32, 112], [6, 90], [9, 68], [225, 268], [15, 87]]; loss = 0.024835 low_pass_filter = 0.300
+Epoch 0: | | 35499/? [5:36:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 35500; scene = ['5951af157af185d3', 'ee1b42096b7e9290', '3e3bdee0d09a1df6', '5edf1a4936d1e3cc', '4fdc641d03ea4cfc', '9b8bb08ccaeeb8f3', 'da137a620bd5e31e', '195686413a5db857', 'fbe4178be70f09de', 'b0be2931a2325f87', '85082ee2008df25c', 'e033e4b75d4f8b5e', 'e7b5b41ab8ad84db', 'ae4c14039db4774d', '1281a0b56433e41c', '51e9e7382a4da6a2']; context = [[21, 77], [8, 92], [201, 264], [149, 213], [89, 140], [31, 113], [17, 86], [42, 86], [5, 64], [0, 59], [5, 52], [72, 139], [27, 98], [20, 68], [160, 235], [6, 68]]; loss = 0.029836 low_pass_filter = 0.300
+Epoch 0: | | 35509/? [5:36:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 35510; scene = ['b68e31337deab68a', 'f50776fbe854899c', 'ff092f1b478b1968', '86aae4818a6082d9', 'a72b94bee0c0c469', 'b1fa3763e9862c47', 'd4f666ac0061eee6', '68ac9aca7a4cae97', '01042371ee0b76ac', 'f0b964cc96ba3d3e', '8f20f72494bf5bdd', '5ceded5edfceb262', '28c433a75667a138', '4458d2b066bc5da6', 'e316606831971498', 'afb48c56cc7ce3d7']; context = [[13, 91], [16, 81], [66, 134], [140, 226], [181, 232], [1, 84], [1, 44], [0, 62], [14, 76], [39, 84], [2, 53], [12, 56], [155, 217], [38, 82], [10, 96], [27, 93]]; loss = 0.022907 low_pass_filter = 0.300
+Epoch 0: | | 35519/? [5:36:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 35520; scene = ['5d353287276b3f72', 'b3b8eba88ea7d064', '9388ca301f4e0bd1', 'cd42477f8d3ee091', '46d6eb17b0db43a0', 'a94cf3b3612d30ab', '66680f2ffd969227', '2a3b8b8cc1fedcd3', '455ef17251608d98', '8ee6d91658f575f1', '4c7c64719fa77977', '7de38ac4e903910f', 'd470875e58c39c58', 'ebfbb2432fcbeec4', '2f9d71971c4c8af5', 'f7ff5b1477f82169']; context = [[113, 191], [44, 95], [2, 45], [80, 138], [23, 92], [7, 78], [10, 77], [130, 176], [4, 76], [0, 47], [52, 129], [95, 178], [26, 74], [86, 139], [82, 150], [4, 84]]; loss = 0.028604 low_pass_filter = 0.300
+Epoch 0: | | 35529/? [5:36:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 35530; scene = ['6c4c274f1c88aae8', '5237c98630df0104', 'f2b18516366f83d2', '3f84f9b89070b60b', '47b48336fd96a91b', '359383026ff90804', '926fc03008d4f064', 'b893952da9b0f1cf', 'e584cf491f0758b4', 'b20a4bb379340290', '7001f2125bb0a274', 'f7dffb88e8919a7e', 'ebd8b74b0fd45d82', '117d1c9fd462963b', '44f26d002b648c08', 'f467ebdc9fa46707']; context = [[81, 129], [42, 117], [3, 82], [60, 114], [200, 262], [28, 84], [35, 84], [8, 65], [14, 61], [12, 88], [31, 83], [62, 129], [3, 59], [7, 84], [0, 68], [4, 54]]; loss = 0.024942 low_pass_filter = 0.300
+Epoch 0: | | 35539/? [5:36:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 35540; scene = ['149ad45c2b6dda1a', '68c8db171dab75ea', '765c6be0dc971f03', '83ac781e4066fdac', 'ade406ba3ca1aa87', 'a5dbef04d6fa313e', '83a2d84657f60fec', '8ec047d3e6c67047', '371a69a4c08f16c9', '417db333638be420', '439c55db530b8bf0', '8d2c92c5aff6074b', 'ebd1c21fe893ac74', '81069f82e3a23374', '89f336072aeb05fb', 'dc94561089b65d67']; context = [[55, 105], [98, 165], [58, 142], [1, 65], [5, 48], [38, 107], [19, 74], [1, 47], [186, 234], [25, 75], [10, 82], [10, 88], [3, 47], [3, 50], [20, 85], [7, 58]]; loss = 0.027599 low_pass_filter = 0.300
+Epoch 0: | | 35549/? [5:36:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 35550; scene = ['da137a620bd5e31e', '5951af157af185d3', '4fdc641d03ea4cfc', 'b0be2931a2325f87', '5edf1a4936d1e3cc', '9b8bb08ccaeeb8f3', '0c95664d34705102', '195686413a5db857', 'fbe4178be70f09de', 'ee1b42096b7e9290', 'a5b68d36c4639021', '52ba4ac9ee6a478b', 'f40474e9d43e7fc3', 'c2d8c9cdc34bfb81', 'b88508fa7b6a870d', '2a9d20d8ed924d2b']; context = [[12, 85], [7, 82], [101, 180], [9, 66], [148, 200], [12, 95], [60, 145], [50, 110], [17, 63], [42, 89], [185, 232], [2, 68], [22, 97], [6, 50], [0, 52], [15, 82]]; loss = 0.030150 low_pass_filter = 0.300
+Epoch 0: | | 35559/? [5:36:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 35560; scene = ['a7dbd6c8a26b2dbe', 'd4947e4e6e324253', 'e70c21625fceaebd', '65fce5bd0d83d483', '256ae648672281d1', 'b5ced0beb191395e', '93bc37f0a27daa8f', '26f11847ab7e1b55', 'f90ce230307d2f34', '5e9b5579ab5155f9', '00ad47b927f0c851', '83d97ebbe2e3c69d', '6765cbf77386ace2', '004d2899ce6cfd7e', '420997bae050f564', '78a56baf9c6f433a']; context = [[45, 122], [26, 76], [58, 115], [37, 117], [1, 53], [81, 124], [0, 67], [36, 92], [10, 74], [90, 147], [28, 85], [156, 207], [24, 102], [87, 170], [13, 57], [3, 46]]; loss = 0.025594 low_pass_filter = 0.300
+Epoch 0: | | 35569/? [5:36:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 35570; scene = ['6f906f4748dd243a', '9e0aee54a72d5c8a', '02366c12e5d264fb', 'e6e618b39c52caed', 'c9f78fa882799a27', '72e66804cf74b3a7', 'c06465b56ad7c78d', '23342ee0ee6467fa', 'fcf211292855eb93', 'f18f902446e55b6a', '2d7cadb283e13574', '9b911c261595376f', 'b940087d000e5084', '07b3b8eed5158977', 'f5ac78e0f503ac92', 'ecc9be85f439bc3e']; context = [[27, 78], [1, 44], [57, 100], [3, 51], [3, 74], [4, 51], [5, 49], [37, 98], [93, 145], [89, 165], [27, 96], [13, 70], [16, 64], [10, 85], [36, 117], [15, 85]]; loss = 0.024024 low_pass_filter = 0.300
+Epoch 0: | | 35579/? [5:36:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 35580; scene = ['2f3f9d1ca227e778', '8db618240a07e98c', '04d96fd21593f793', '9d73ce3d387b1c91', '44471b1ddc8a21a3', 'bf69ec4556155b9c', '42f21199800301a7', '72a3dac21cc5a55d', 'b5a21dca4b05f21a', '422be740e4324b2f', 'c2b19e19008d6f64', '165b637923e5e925', '60cfea5a1bd567f2', 'c3a3738c8ddb0e85', 'abe2e633aa6852c5', 'a26506571c3951f0']; context = [[3, 56], [108, 171], [95, 148], [7, 80], [8, 55], [147, 231], [124, 206], [12, 58], [12, 57], [6, 75], [4, 69], [11, 68], [56, 105], [8, 62], [1, 70], [36, 87]]; loss = 0.025524 low_pass_filter = 0.300
+Epoch 0: | | 35589/? [5:36:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 35590; scene = ['95c59cc52adedbc4', '23c1f863919d9a5a', '4303746d8f23f16b', '4f6984c28d90eb09', 'bbda226808fce57c', '249adc3e479b28b9', '54cfdcc11f17f88a', 'dc88bf46941dca99', 'e19f2bdf424cfcde', '5f44c9c88b73aa5a', '993c6c80f2eb7d43', 'a95691c28a8c28a3', '2f56fb1ce3c46045', '11bdc79f5f3fe36a', '33ec2bc6fd434fe8', '9c2ec37ccb615cf9']; context = [[16, 75], [73, 139], [43, 104], [12, 93], [48, 98], [2, 54], [0, 75], [59, 129], [0, 76], [25, 87], [1, 65], [15, 95], [67, 117], [2, 68], [9, 62], [19, 66]]; loss = 0.052855 low_pass_filter = 0.300
+Epoch 0: | | 35599/? [5:37:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 35600; scene = ['30df31bce0d6b16a', '958596ec1ee3a839', '3ec9b76cab1555e4', '07b60db51a783703', 'be8fca24326c458d', 'd73c09ac36dd02b7', 'd34926c73ae1277e', '3922ba9aac216d1b', '85750648ae0a3571', 'd3a0a89d951a6101', 'b43f32da9a7800ee', '43f17977e6afe5a0', 'f8e7bd9e403fc04a', '5c5694be61ffb755', '9452b026b0d20cad', '8b1b695c79061c29']; context = [[0, 43], [41, 111], [22, 82], [14, 64], [114, 198], [33, 92], [7, 72], [13, 76], [88, 140], [54, 123], [10, 87], [17, 91], [10, 87], [41, 109], [27, 89], [52, 127]]; loss = 0.022353 low_pass_filter = 0.300
+Epoch 0: | | 35609/? [5:37:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 35610; scene = ['9a190c4a5a01bc9d', '0ed1fa18e1ea72fd', 'a3e92af759c636f5', '0d0c08bcb5c54240', '0df03aecb95f42b0', 'b5ca8a726d6cda0b', '357c71d79595fde4', '30e603963529873b', '128a981b0696a0cd', '4c4372829996aaea', '150884e851a8da6c', 'f21702cfe6b2846e', '47c95716c4f414cb', 'af86063cb2beb55e', '3a6ced6a3ab9a9f6', '1ffe552668b190fb']; context = [[0, 50], [3, 47], [17, 98], [17, 90], [99, 165], [118, 166], [1, 66], [15, 76], [71, 141], [0, 72], [16, 64], [6, 65], [80, 145], [12, 58], [50, 129], [32, 110]]; loss = 0.023518 low_pass_filter = 0.300
+Epoch 0: | | 35619/? [5:37:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 35620; scene = ['5b3d6bba4d1b3484', '7eb3280167278387', 'c2bbcacaa79d985a', '2e1fb15b53a835ff', '89aa829b0eb46329', '648fc6db158f6e55', '38e70ae6488aab33', '725cf32a819e9e70', '1df4a087ca57a288', 'd4f199bae7f9028f', 'b52b95a079398db7', '679f1c3b1b0b04b0', 'db4b40e46859c189', '0c4e735d67b92814', '6c72d78415cc37c8', '1a32ab8d1a0d978a']; context = [[16, 84], [50, 127], [0, 59], [29, 90], [14, 92], [134, 199], [147, 226], [3, 53], [4, 47], [36, 93], [12, 76], [76, 140], [21, 93], [76, 127], [6, 67], [218, 261]]; loss = 0.023935 low_pass_filter = 0.300
+Epoch 0: | | 35629/? [5:37:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 35630; scene = ['6584d26cd17e774e', '784d25b1c8496d7d', '12187d763ed3bcf3', 'ba2d21290ad804a6', '9d88aa143fcd52c6', 'cca6d62cb8ddc4e4', '090cd7d740571c1e', '32b351130816f54b', '468d05fe9cae4c74', 'ec5be7aa42eaa9b0', '0880f556a19d07f5', '1ce140bd016b2813', '9b6a57a6ff02dd12', 'b9b418fb1cb8b12d', '641310a2d9c88eab', '4bd13783695ed549']; context = [[171, 221], [30, 104], [7, 75], [52, 130], [88, 132], [59, 105], [7, 62], [6, 58], [98, 179], [102, 148], [118, 185], [25, 103], [1, 70], [4, 53], [10, 70], [72, 126]]; loss = 0.025640 low_pass_filter = 0.300
+Epoch 0: | | 35639/? [5:37:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 35640; scene = ['af341801d7396214', 'a29879173eef0f0b', 'acb20b13a0dad323', '7751da6b6b29b68b', '787d7c78016b9608', 'f15c136ef957494f', '4ef76ea7421ee560', 'a679582e4dce4bc2', 'ad2297ce81b9f586', 'd4c45283a9071d8c', '0f638868da0b9ba2', '704e995f7c1123cd', 'af428b0001dc3f57', '2efa09163cda1ed1', '08aa99b304f37fbd', '84447062de7df76c']; context = [[21, 79], [38, 116], [2, 76], [3, 56], [98, 177], [5, 57], [22, 77], [5, 72], [22, 101], [0, 70], [60, 132], [9, 79], [33, 80], [174, 227], [13, 56], [1, 80]]; loss = 0.031154 low_pass_filter = 0.300
+Epoch 0: | | 35649/? [5:37:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 35650; scene = ['80e84c3133ac54d0', '531e56a1ae5c1045', '32fd7014584ba613', 'f1f37eb6fba484b7', 'c520ae3405948a0a', 'f276b95e48af6e36', 'a24eced88f01ac4c', '0ae3cc6c498f4b11', '06b212c332f9e714', '66569c94fc3cf8d8', '0b426b7d9def36f6', 'f91e6a0c02873598', '035cedf33abcd3a3', 'c9fb509765237986', '3653999b060232ff', 'b7910be2e79e221f']; context = [[91, 166], [17, 79], [0, 43], [34, 107], [2, 68], [29, 81], [71, 132], [16, 67], [21, 68], [33, 112], [59, 106], [6, 61], [3, 63], [18, 65], [4, 84], [72, 132]]; loss = 0.025915 low_pass_filter = 0.300
+Epoch 0: | | 35659/? [5:37:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 35660; scene = ['1ae8d232b1f3a43b', '8e2f3bf63d24d3b3', 'e2af00d19440bf92', '1213ca9c64a0e0cc', 'dd79dc72abfc0614', '6074d2ee6d8b506a', '99620b4262b132a8', 'f1d37c37b26e7be4', 'd65ac2500dafc179', '3918e4998619b227', '8902e97c5814433e', '09a1e9bbded02341', '30e1d420b926d6f0', '2a23966bfac99977', 'b6f65429632f92fa', '14270bac7ebd4ce4']; context = [[9, 72], [61, 108], [10, 64], [95, 162], [6, 77], [2, 57], [15, 59], [34, 114], [4, 82], [116, 179], [5, 49], [51, 128], [45, 116], [4, 86], [3, 73], [2, 84]]; loss = 0.029410 low_pass_filter = 0.300
+Epoch 0: | | 35669/? [5:37:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 35670; scene = ['3dd7802a2c93a865', 'd15566035f9fbe7d', '27653232d3379a9d', '4c8ba880158eec5b', '798682f477023581', 'bb93cd27d7051f75', '9c7378d4e255abd9', '3b61ca8af8aef8de', '4d6b988aba86d239', 'bc8608840a05c70c', 'bce18b344ffc0b52', 'c3544b3381a888b7', '2f0e8a231ff23aa2', '44396867de9739b8', '6f34a86f2f4705cf', 'ac603e15d0daa94d']; context = [[15, 70], [11, 96], [2, 51], [2, 66], [220, 272], [0, 48], [32, 117], [32, 110], [23, 70], [51, 109], [0, 67], [47, 96], [9, 74], [118, 173], [12, 83], [7, 56]]; loss = 0.022421 low_pass_filter = 0.300
+Epoch 0: | | 35679/? [5:37:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 35680; scene = ['1953a0037f4dfe85', 'ab34ef119289f944', '2355737449c72144', 'aa5175d18a929cb8', 'c38db68f12e40a06', '2f269b68e14e256a', '06ff1462da8f77d7', 'ca759984e3ab0101', '2f330103819454c6', 'c69799cd4137c6b5', 'f1db7081cdca2869', 'df21bcc5b49bc2bd', '4bf92848b7ed1bcd', 'f7fd59b61fd90975', '3ba9ee5b0a0ab41f', '23997b17e26ba688']; context = [[12, 69], [94, 155], [99, 184], [24, 85], [9, 63], [31, 82], [13, 91], [158, 202], [19, 89], [0, 44], [3, 61], [1, 51], [3, 68], [1, 45], [15, 90], [4, 50]]; loss = 0.031934 low_pass_filter = 0.300
+Epoch 0: | | 35689/? [5:37:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 35690; scene = ['3a46462f9ca7ac68', '7ba50fca1a2a3d18', 'a791c72122d141c3', '03609245511eb74a', '113a7c672823203b', '48128a0c25ba17b3', 'f29f238654d44358', '9dc164828900c1a5', '7e15d7ac4e6f9d15', 'ab1c5358d3bb05db', 'a7b3b1f8ad45f902', 'a1fb990016d7b3af', '4373673ff80633f6', '9d0bfbe5b7f98545', 'eceaf2fe0853e0ef', 'b833a0a3ddf1f7cd']; context = [[58, 134], [19, 69], [4, 86], [152, 226], [4, 71], [0, 44], [51, 108], [1, 47], [1, 52], [9, 66], [42, 96], [43, 107], [3, 59], [34, 102], [39, 118], [27, 97]]; loss = 0.022512 low_pass_filter = 0.300
+Epoch 0: | | 35699/? [5:38:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 35700; scene = ['2a512828633957b5', '68dfe6f012c000bf', '52ebdccbea335ddb', '160eab244cffa6d4', 'd6d5ca952b430268', '4302f3576310e376', 'c5edd6cf1dbadb8a', '396b616ef6304d90', '27474a9b81b5b915', 'd1eb3b443a0d38b9', '6a1549e061340f9c', '10bbbbe467426d32', 'a0aa269c16aeb3b4', 'ad9a0c2b517fc375', 'bf1277b28c1894f8', 'd2dc639bcb77797f']; context = [[128, 188], [106, 167], [105, 154], [24, 68], [6, 61], [59, 108], [31, 93], [79, 134], [7, 70], [119, 172], [48, 127], [24, 105], [86, 132], [200, 255], [172, 258], [41, 104]]; loss = 0.028700 low_pass_filter = 0.300
+Epoch 0: | | 35709/? [5:38:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.50, train/active_min_children_step=4.000train step 35710; scene = ['cfecc40203481c0f', '27060266cbd84384', '67dbd6412de4a075', 'eb839322cd90391d', '9cb7498b7af59492', 'b2db9653071d45e0', 'f1b2ca2dd2fb7a03', '53ccd432f245e010', 'e5aaf1079b8dcad4', '4dee72e8e4cd11e4', '3cfbf3c318c83e99', 'aea28cd48904c32e', 'b65c25d66c1d0ed2', 'b0f455601ebb99c2', '8166d544f4be379f', '3bfd555747259551']; context = [[60, 136], [32, 103], [7, 79], [11, 86], [178, 242], [87, 142], [16, 78], [7, 51], [41, 101], [21, 72], [36, 105], [3, 47], [183, 267], [113, 195], [193, 259], [19, 67]]; loss = 0.024387 low_pass_filter = 0.300
+Epoch 0: | | 35719/? [5:38:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 35720; scene = ['c1a6ef665d46399b', '9044f156e5b0eff2', 'c67d163bb0a1e8dc', '318adcd55b71389b', 'a600bc71cd595f32', '9b5a0140c194ead4', '637bdb45beb6fb5a', '9183740bb8b7200c', '820f797585813215', '53eb9bdb6a459713', '79bac043825d673a', '37315f75bfca52ff', '4caaa1b6a8f126d2', 'fd4799119b1fa70a', '4ceaf2a5d2673ec7', 'a19e64e3bb6f9611']; context = [[28, 93], [23, 82], [41, 104], [30, 104], [54, 105], [88, 151], [24, 69], [16, 96], [24, 72], [103, 179], [7, 78], [29, 95], [34, 92], [102, 166], [55, 120], [14, 76]]; loss = 0.035204 low_pass_filter = 0.300
+Epoch 0: | | 35729/? [5:38:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 35730; scene = ['f722d2ef78cc3c1d', 'a80cb16e79664c79', '6434fa7bf139fd26', 'b05542bd675891b7', '12a02be37a8072ca', 'a9700a57783f7991', '56d99f2651c2e40c', '936f945f8fd64928', 'f9e8f78cc34ce09b', '73e4f7d049224183', 'af0aab812d00894e', 'b389cb9c8558ecad', 'c214ca97694b1373', '42bf844c2c30f86a', '5bdfd491073eeefa', 'd95ce46f540c1d9a']; context = [[15, 79], [38, 116], [39, 87], [27, 99], [2, 65], [199, 266], [8, 64], [152, 228], [34, 83], [97, 153], [13, 60], [20, 71], [69, 143], [3, 49], [8, 88], [0, 77]]; loss = 0.026898 low_pass_filter = 0.300
+Epoch 0: | | 35739/? [5:38:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 35740; scene = ['7b8e965c2501d7b0', '7c7f34a2e46e7cef', '266e25d2ef565ac4', 'c18c0da0b86ded93', 'cbf43526fd464b32', 'bb59055db453ff30', '0bdc7f573090746b', '783ad88c8f9c4c7f', '2584b6752147b0be', '2f82f0dbdd752d39', 'd3d44712e9d5a778', '75ac71c654be685e', 'f77be837dba5f992', '3a93a5955496307c', '4b7068f19d61a837', '8a34c9e16476e41c']; context = [[17, 61], [126, 197], [186, 239], [190, 269], [64, 119], [21, 79], [40, 97], [14, 78], [1, 76], [132, 216], [54, 131], [10, 72], [51, 123], [23, 81], [3, 54], [22, 101]]; loss = 0.028428 low_pass_filter = 0.300
+Epoch 0: | | 35749/? [5:38:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 35750; scene = ['dbbc84703e42d174', 'e1730179fd86e4c0', 'b4297c92de82ba23', '5eba0adf88b41a12', '844f5ac80c18d101', '6d26732ef60b81a3', '97c5606fdea6e732', 'd99eaa0cc001ecca', 'a9a85280b420694a', 'af342e32f4c696a7', 'fdc8b395582432f3', '55500b9b8aa934a1', '7a7bcb2dfd3f9ba0', 'fff7d26426284b52', 'e4bc9a168f1a8c90', '418919a8c9bdc66e']; context = [[23, 88], [2, 66], [31, 76], [139, 211], [31, 110], [65, 124], [5, 56], [60, 123], [9, 78], [9, 88], [2, 75], [9, 91], [160, 207], [47, 99], [26, 83], [57, 120]]; loss = 0.025159 low_pass_filter = 0.300
+Epoch 0: | | 35759/? [5:38:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.000train step 35760; scene = ['62e5da0a11db432d', '0c9600fff7a9cac2', 'ab52c7d99574ef90', '2a79c0dfe1e91741', '0874fdc612948e07', '64178976f7da5eb6', '5c436a85de319930', 'a5f954bc26c30a7f', 'd2aa39c37f5cbd01', 'e04013ff5f9660cf', 'ad7eeba9fe648175', 'c4e5a328c7aabb37', 'ca40a2aa0f26e77b', 'c3df4458afa036f7', 'f22486220c0bc7bb', 'f185dbad017d9454']; context = [[7, 64], [179, 246], [19, 71], [101, 164], [55, 100], [14, 69], [22, 85], [15, 88], [45, 94], [126, 173], [61, 132], [169, 243], [0, 63], [6, 78], [96, 180], [1, 46]]; loss = 0.023809 low_pass_filter = 0.300
+Epoch 0: | | 35769/? [5:38:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 35770; scene = ['c3ff07c86676bdb7', '3909231098c2f263', 'a230308a0397ec12', '443f21df464db8cf', '1626e670755b1d8c', '7225310f01007948', '2b00682d03aed4d2', '2c7822582c375f00', 'e13d24cb77bd5842', '14b4d62a983a3e42', '7a9e2a1db5d0c45b', '45881f9f6f662df4', '57b1333abbaea573', '348e39e72320bf9b', 'aecba92e05f84330', 'e7f820327fa7287a']; context = [[1, 58], [4, 66], [1, 53], [20, 65], [24, 88], [41, 96], [1, 76], [2, 63], [9, 57], [20, 80], [16, 75], [31, 80], [0, 59], [6, 52], [65, 119], [18, 68]]; loss = 0.022835 low_pass_filter = 0.300
+Epoch 0: | | 35779/? [5:38:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 35780; scene = ['5083adb55bf64b25', '56e895c50d5b9c11', 'f7724187a689a6cd', 'df73f901994876d7', '91aec6468e99fde3', '3f6dcca473cdc73c', 'f9819d0fa6976ef4', 'a3c290d59ba3d57e', '227bf499869cf372', 'c1067c28947eb908', '97c0e17033d685ba', 'a6d8c29cc124ba06', 'b7f11264f90f9fdf', 'a8c23400a2bf1eb5', '3ecc9dbeec2451f0', 'ea4e8db997cafe5d']; context = [[44, 120], [168, 237], [4, 66], [24, 90], [15, 63], [0, 55], [18, 65], [34, 80], [7, 68], [32, 111], [142, 208], [4, 73], [0, 47], [2, 74], [42, 100], [204, 253]]; loss = 0.031990 low_pass_filter = 0.300
+Epoch 0: | | 35789/? [5:38:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 35790; scene = ['cdfcbf746dc6b4c9', '754cd13d07884b11', 'aa9826ffca85a2c7', '25470a9bceb93b10', '724165c950c7a80c', 'e647e7c9eec77344', 'af837aff6c95547d', '598222fc1f1693cb', '1f1fb2d3701b0b66', '2b0c90d09a7714a4', 'dcb48174c09c0239', '59962733bce39722', 'e7bc763f52f6d941', 'a1d8ab6deefc971a', '3e07ac19a6be1efd', 'c73d3bd74c1973fe']; context = [[106, 192], [5, 51], [12, 79], [1, 72], [85, 168], [66, 138], [29, 86], [23, 83], [48, 114], [136, 220], [3, 54], [17, 73], [16, 68], [55, 125], [59, 116], [7, 81]]; loss = 0.026243 low_pass_filter = 0.300
+Epoch 0: | | 35799/? [5:38:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 35800; scene = ['a7fc6aa462302a2c', 'e0f69cd2e7872e24', '399f82e1d5fe9d0b', '0265f4ef1936cd41', '7effba62dee38d6e', '05f40d087109422a', '38c98ac3504f0495', 'b0c566c80e48a639', 'cc200a8068fda759', '4aabcd4c5ff2ad5b', '15e03aa7fa32ad9a', '5a56b4c24535945f', 'c5a9ebcbe1f673b3', '6ae12d32b5ba6faa', 'b5d2093fdb76e3ad', 'be90dc239f33af9f']; context = [[61, 127], [2, 79], [2, 55], [32, 89], [1, 56], [17, 79], [52, 116], [162, 216], [17, 77], [5, 54], [70, 144], [1, 45], [44, 92], [5, 55], [0, 50], [9, 64]]; loss = 0.028019 low_pass_filter = 0.300
+Epoch 0: | | 35809/? [5:39:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 35810; scene = ['1a90aae528bfbf17', '84e4301303b9ce99', '164156530d3be634', '9832efd4fc5ef172', '20805b89fea12b16', 'bdace396e50a0af2', '0e6b54a45061ff27', '0d3951ef69a23501', '8391a6010bf08e1b', 'd7fa6d0a01a9bcbb', '7615cbc4ef6c7051', '31dfc1a39af4a4a7', 'abf815282a504388', '04d0c305125298fc', '9bc40f9c925f676b', 'a1c6682918d86006']; context = [[86, 135], [11, 92], [136, 185], [36, 123], [145, 213], [41, 89], [78, 134], [23, 75], [18, 103], [6, 70], [39, 90], [0, 84], [12, 69], [86, 163], [59, 123], [28, 90]]; loss = 0.022502 low_pass_filter = 0.300
+Epoch 0: | | 35819/? [5:39:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 35820; scene = ['03a346966d45a7f8', '3b8a0737368f9f1c', '596cd047a1dfd450', '615cd9e7f782afcd', 'dad1cefd696020b9', '490000fdd9e46476', '6df9f1b8d7da72d9', 'd0bb62a1775b5dab', 'f4077924d862e6d9', '4d08f6508693b522', 'fc149c075035ff5e', '7bcc6fac9d4dac2d', '2c46c889a72102d4', '3a64dab609df8d4f', '356f8e682d74a0b7', '99b6755f0d52ecec']; context = [[81, 168], [2, 49], [11, 57], [1, 58], [64, 125], [102, 149], [49, 124], [15, 91], [5, 90], [188, 264], [34, 83], [10, 95], [19, 64], [17, 65], [37, 118], [10, 57]]; loss = 0.031964 low_pass_filter = 0.300
+Epoch 0: | | 35829/? [5:39:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 35830; scene = ['8c8d275be1d9c9c1', '27c1a03e4474dec9', 'e5b3c987f0c0c044', 'df3d9e0d9c57b60e', 'c49c716e0257136d', '85cd5c3b6ecf03fc', '9bf893735e9b1ab8', '96ce3e617124a934', 'f1a81e9c8264e5a2', '209a86f54836420b', '2e0974f13b85cce8', 'c708707156f0d454', 'de61efbee4c2b1cd', 'd29ac5d4f2c01cd8', '4e42a798152f2381', '10932c00957d5ec3']; context = [[2, 47], [206, 253], [24, 82], [0, 56], [4, 60], [18, 71], [6, 63], [72, 149], [24, 86], [4, 89], [29, 115], [16, 98], [232, 278], [69, 120], [43, 89], [7, 58]]; loss = 0.090638 low_pass_filter = 0.300
+Epoch 0: | | 35839/? [5:39:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 35840; scene = ['bbde6840d9d8b008', 'a597e94e50eb917a', '0e4916077d990d1e', 'e42929a5ac81d253', 'b2c001dd5cabd4b6', '15e466706ad7d02e', '7ae6a1236289d804', 'e038d189e5f90616', '8fef8355485fa6c9', '0e57fd444b2125fc', '2b367141f46053de', 'e74a91bc68f270e8', 'c321b34839b61119', '94f12948c13a9141', '2c95162efdfb9d47', '465b88993612ba45']; context = [[6, 59], [88, 160], [1, 47], [9, 90], [18, 68], [176, 238], [18, 94], [53, 138], [178, 233], [67, 111], [10, 62], [121, 170], [85, 148], [1, 46], [11, 73], [5, 79]]; loss = 0.023752 low_pass_filter = 0.300
+Epoch 0: | | 35849/? [5:39:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 35850; scene = ['00210fcc783d3fcf', '1ccc8946d683d79c', '97d48083a9c554ef', 'c0de137715b6bcb4', 'c2d56785690fef5c', '29afe36e4ba597f5', '02ae101d68a2304b', '33bf51a57dd21baf', '9d4bb6a040f3e82f', 'bc29873beb100836', '67ec892c9487534d', 'fac84877f62bf4ac', '3a31ed789296ce91', '752a9ba05152ec94', '72e02bab04fb8c64', 'dc74defbc8c8d054']; context = [[51, 107], [7, 88], [0, 64], [126, 190], [82, 159], [6, 69], [36, 122], [39, 95], [164, 237], [14, 74], [15, 99], [0, 44], [154, 200], [64, 141], [24, 69], [31, 97]]; loss = 0.030796 low_pass_filter = 0.300
+Epoch 0: | | 35859/? [5:39:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 35860; scene = ['1042daa8f8fd2955', '181157826ea13ab5', '658d5216501736d5', 'c1b5b7779a98027d', '39e8cbb0f678f5e3', '5c140178a8c1b76e', '864d89232a34ffcd', '7fe66601858b37dd', '63cedce5caa10d40', 'bf48f07f09565e35', 'd4f9b7f5a436bc5e', 'a13d8d996ab50fd7', 'fccff2648cce2404', '89264e76e0901fb9', '4bd1181d3d5cbe49', '9927ea6cefc6d3ce']; context = [[5, 82], [2, 87], [22, 107], [150, 223], [31, 101], [37, 90], [33, 93], [10, 89], [1, 67], [144, 198], [129, 215], [46, 112], [44, 106], [92, 179], [72, 126], [38, 120]]; loss = 0.025506 low_pass_filter = 0.300
+Epoch 0: | | 35869/? [5:39:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 35870; scene = ['dc0a77ee6fa4c0f0', '5c1937db8b78c42e', '122e310820d211d0', '5f77aafef38661ba', 'e4a9575f7748ca3b', '4c3576f81d93a544', 'e6fec1b42f3417ac', '5da080609ee10144', '7e8be15607bda439', '791aa6312f1d31bc', 'a177d2fe364ccb70', '0bd967e2f1a3f976', 'cbc5079a5e106cf9', 'd140ca9a916f2329', '8640afafbab041ca', '14aa189c37e06bf8']; context = [[213, 257], [109, 192], [4, 52], [24, 78], [8, 58], [72, 123], [93, 151], [4, 73], [7, 74], [17, 83], [112, 188], [72, 140], [20, 105], [29, 84], [78, 133], [42, 94]]; loss = 0.024603 low_pass_filter = 0.300
+Epoch 0: | | 35879/? [5:39:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 35880; scene = ['37fa7a24e4b88b80', 'b03878b42d60c85c', 'd41ac9d42f8da42d', '89dde5e967d0d27b', 'ed83ccffccff011a', '24ebb1ba1415dec7', '1bbd97bb351008ec', 'eeb4a4c68a41a6c5', 'fb905d6d129804cd', 'b27bddaf7c71a0e6', 'c59210f96ab4a776', 'b16cebdce42a2fb6', '0e3abfaa2fbc0e2a', '95346eef8181be12', '935f59ff87fa3b62', '2bd2e8dedeb44254']; context = [[18, 74], [132, 176], [40, 122], [19, 99], [23, 67], [1, 78], [78, 139], [22, 71], [1, 58], [81, 130], [6, 63], [33, 89], [18, 89], [6, 61], [2, 76], [6, 78]]; loss = 0.023162 low_pass_filter = 0.300
+Epoch 0: | | 35889/? [5:39:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 35890; scene = ['b266226a3d237e80', 'af94d397bb39a345', 'cb089fc0fae599b5', '99174ac47256f0e0', 'f5f5c6090e031091', '37053ecd72a3c47d', '4212b51144518ed4', '493047f10d617f3c', 'db139805c0d52235', '8742bd2ab32b9163', 'ddc6e8abed84d947', '202e6eee20bdcddf', '9c023f327ece2911', '243515e0bc44ae29', '0c6abcc734bb3112', '33d38bd50acba191']; context = [[67, 151], [90, 148], [6, 50], [15, 74], [6, 52], [153, 224], [26, 71], [18, 79], [224, 276], [1, 55], [140, 186], [39, 96], [9, 69], [1, 47], [0, 57], [4, 75]]; loss = 0.024853 low_pass_filter = 0.300
+Epoch 0: | | 35899/? [5:39:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 35900; scene = ['6c624d9684bc26ab', '6989116a3baf6c4c', '9497ed29cc566c99', '54090f0d79c2d5d6', 'ccc8fb6694c05156', 'cdec7dff152cc880', 'af57a1f0c29eaaea', 'a60e746c2f928b89', '49933df694f4108f', '96ed5a8b0dcc572c', 'a6206fb1dd702d53', '5b9e7f0865190eda', 'ffe814d6a265f8b5', 'ecb14f7f19f960b9', '6224f61fe042e117', 'cf7f50d31a60d2c7']; context = [[146, 216], [44, 116], [99, 175], [16, 66], [63, 138], [27, 79], [38, 113], [40, 91], [33, 83], [54, 135], [43, 95], [58, 120], [32, 94], [25, 88], [19, 88], [9, 73]]; loss = 0.028348 low_pass_filter = 0.300
+Epoch 0: | | 35909/? [5:39:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 35910; scene = ['984fcd3c7c0ddeb1', '8e511bd9c1d35a91', 'b49b695f253edbda', '9b34d768bb3ff6c5', 'dcf8835ddbd28de7', 'bc84a3e1d55aa887', '9d7d3ab47fc3f5ca', '39fde4cbf205e075', '51a1ab321c659ced', '5e22c9e85225ce9d', '7a6ea676693b1471', 'b519397ffd947056', 'b8c4f3337fbd630e', '786d7805ee6f3ad4', 'a76ec83c9984d4cd', 'a2272a447c64f48b']; context = [[20, 102], [30, 84], [88, 132], [160, 239], [0, 72], [128, 192], [0, 46], [18, 65], [16, 67], [71, 140], [69, 155], [48, 100], [166, 218], [197, 243], [15, 92], [49, 109]]; loss = 0.026325 low_pass_filter = 0.300
+Epoch 0: | | 35919/? [5:40:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 35920; scene = ['f4b33046e5e861be', '4493703fe092af76', '41bb935fd41a83f3', '086693a3a20d1b5b', '2374d19235735123', '51a223205e679433', '70b9a8bbe078c68e', '9a07a530f39c448e', 'ba05fda6ed12c480', 'f6e026f2b7659d57', '6f594681417977fa', '47de57e6b64b83ca', 'e96565d38ad407a1', '66967fa4bf26f8ec', 'cbc58d25231ba015', '89e458eaccf5b7d1']; context = [[0, 45], [115, 183], [0, 49], [38, 85], [146, 216], [1, 50], [55, 129], [98, 180], [4, 71], [92, 165], [29, 115], [80, 134], [3, 90], [72, 121], [43, 121], [18, 102]]; loss = 0.041067 low_pass_filter = 0.300
+Epoch 0: | | 35929/? [5:40:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 35930; scene = ['f0a4a4cb065efa53', 'bde49071d2088850', 'd823f528acb278ae', 'cd1d18dfeb3ffea6', '2793fb40fde74ed1', 'dfb8f1b208a8949f', '39343936591c28de', 'd33a9e90e1416efb', '9e3a42fbf9b526a0', 'c44a4c1c3e9b3cc3', '65c4746a5f0a43b7', '3ddb7ef38f509da8', '0db36affa33787b3', '77ca6725a5e07bce', '11deb50de71ac927', '796ab6cfb1192ac9']; context = [[6, 93], [66, 151], [28, 92], [159, 230], [101, 151], [25, 102], [37, 100], [10, 91], [11, 69], [8, 92], [40, 92], [107, 180], [1, 69], [4, 83], [16, 77], [1, 77]]; loss = 0.024686 low_pass_filter = 0.300
+Epoch 0: | | 35939/? [5:40:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 35940; scene = ['ced9eaec2af72a37', 'ceed1e10887c0225', '5cfa9a2995f6c3e5', '8b634dd80fe44d1d', '31177e3090079870', '8dcb65a86df04796', '2e3fba29b0ef9eb8', '90c5b3052fd20e29', '9e16686cff67cab1', 'f7fc315b2c2ab371', '4ca19f3a5dea6391', '13e3f8416df0e4a5', '806963c2d53faf94', '824a064f8ab1cf0a', '81954eeb7c50183d', '9055041789f01a42']; context = [[17, 64], [101, 177], [134, 200], [72, 149], [111, 182], [8, 87], [0, 80], [83, 152], [5, 84], [42, 92], [3, 60], [2, 70], [64, 113], [7, 73], [0, 53], [6, 51]]; loss = 0.037926 low_pass_filter = 0.300
+Epoch 0: | | 35949/? [5:40:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 35950; scene = ['a94ad7b39b578fe9', 'f0bfe9cc42e2763a', '1e51247de1592f1c', 'e47992e97ffcaf72', '89249dc2d50d30ea', '3e38e5ffccf5c421', '6f94d91f9e5d4a67', '2f381854e846a25f', '7fdfadceb9992370', '4f9cb8e2891d1d08', '6870462a6b42954c', '5eccf201ce72082f', '1d29e9eff21f8a0d', '0131e5970bec6351', '909a19af70ca780e', '094eb6b625d8c18d']; context = [[13, 95], [10, 75], [195, 254], [10, 85], [5, 85], [12, 87], [35, 95], [36, 81], [57, 106], [2, 64], [16, 82], [58, 102], [21, 69], [61, 112], [29, 82], [49, 131]]; loss = 0.032157 low_pass_filter = 0.300
+Epoch 0: | | 35959/? [5:40:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 35960; scene = ['9147af809fdbd541', 'cd6004a198ec5ce7', '6b73871e384a0f75', '26a19d5d4d76f83d', '87f309174a1f7823', '9b5e2c34608774a6', '172007be3056a5e3', '2fd3ab234cb54924', '07c64edb9013c25f', 'b71b7a98725ee285', '4582335434b7952d', 'e138102f24941ff6', '0405ecc0682e736c', '9809a08ae37cd257', '0fb65ec00dd3aee0', '5d61d97c6b81dcf9']; context = [[3, 55], [1, 45], [88, 135], [28, 98], [92, 166], [10, 86], [138, 189], [0, 70], [14, 89], [224, 273], [43, 124], [0, 62], [8, 67], [59, 126], [57, 112], [20, 92]]; loss = 0.029538 low_pass_filter = 0.300
+Epoch 0: | | 35969/? [5:40:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 35970; scene = ['9ab83ba6f3dee716', '917be2bd3c7a28d7', '8e704b8171b2dd7c', 'e5db691627ea5357', '842edd33637dfc83', '6e0446b32be39b1f', 'e93f2d8e5c3e2da3', '5c4442779124ec3d', 'c84c4db184037309', '878a9cd31f4ad9f6', '9a80121d71258b41', '210ab3c1a9d655e5', '86badfef4fc36bed', '7d597cedae289ee8', '319bd9ea90f25ea3', 'c6246a94432e00c6']; context = [[22, 78], [64, 148], [1, 55], [14, 70], [14, 65], [20, 69], [24, 88], [74, 160], [0, 48], [37, 103], [31, 90], [116, 166], [0, 80], [12, 57], [49, 122], [1, 47]]; loss = 0.025014 low_pass_filter = 0.300
+Epoch 0: | | 35979/? [5:40:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 35980; scene = ['cab8dd14f2f78abf', 'b117f9d8522f755b', 'e384be9c2c62cf97', '06402de34cae0625', '15b1b5f770c5a68d', '7c8c847eb8e72183', '73ea7bf916d4cf54', 'cce19f034d7e4c4d', 'a29879173eef0f0b', 'af341801d7396214', '935620b6d95b7e07', 'ad041efb80fd1e04', '1971c9e877bd61a7', 'e398b6b9b1e85cfa', 'bd1365b08ac111c9', '3d58488ee95d8166']; context = [[0, 84], [22, 100], [27, 73], [2, 68], [0, 66], [182, 264], [6, 81], [14, 70], [28, 74], [7, 55], [6, 61], [11, 61], [10, 61], [31, 75], [7, 67], [65, 132]]; loss = 0.034971 low_pass_filter = 0.300
+Epoch 0: | | 35989/? [5:40:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 35990; scene = ['e72cb26fba0596df', '5a2613c4e0967be4', '2279dde65e35a5a3', 'ddfa8d6604f845bb', 'dedd2069b0d6eb9c', '1d73b17a7d797570', '853cea5a9bef7465', '9dc96e2d658c29a6', '032522f3b8efd159', 'c9442f9e9ba380a9', 'ec9fb1bb662b94f9', 'fd313850c5fc2620', '5a9fae3ad84308a9', 'abc78476b3ad43b2', '59f90e73aecf538b', '2ee31a7780c9ba67']; context = [[28, 106], [5, 70], [31, 86], [1, 53], [63, 126], [107, 158], [0, 62], [44, 128], [94, 166], [71, 121], [54, 105], [26, 106], [106, 190], [6, 50], [13, 97], [1, 57]]; loss = 0.032326 low_pass_filter = 0.300
+Epoch 0: | | 35999/? [5:40:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 36000; scene = ['35cb6d1706d23123', '97caecafbfa7f1f6', '4993c13bd0a11f24', '265941bdd185f866', 'a95dacbd3ea3db36', '2c13034bacfe93b5', '6a644d71d717c6a7', 'c83c353973bfa41d', 'c63b37ec347f0d0e', '944e92ff3fea78eb', '175e1611df44964f', 'ea97e5ae55e56208', 'b84cce034b55e1e4', '52cf0ad63b78dd22', '5507d4e82ddb2357', 'bbf8fe89da545493']; context = [[47, 102], [22, 75], [24, 69], [15, 74], [35, 110], [27, 83], [0, 55], [38, 106], [3, 89], [14, 58], [68, 142], [0, 67], [24, 68], [50, 101], [4, 62], [7, 60]]; loss = 0.021023 low_pass_filter = 0.300
+Epoch 0: | | 36000/? [5:40:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000validation step 36000; scene = ['13fcc228c40a0e67']; context = [[20, 94]]
+Epoch 0: | | 36009/? [5:40:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 36010; scene = ['c1001ec26226f680', 'f714c6902cd954db', 'f3126c981b4e4874', 'eee96125b14b7aab', '08169229c028aebc', 'a168b9cb83649c5d', '922b312f1b2be5fe', '78f0f0a2f3f8b486', 'b291bb89ef01171f', '32ad7c3746d46b89', 'e76755f44544aff2', '18ce3419dd7cdf4b', 'c613d873321c87c0', 'b963ab9d26b8da09', '53c0505255ce7322', '6e6fcfeacf855c0a']; context = [[78, 146], [9, 67], [103, 157], [2, 85], [6, 68], [100, 167], [130, 175], [103, 156], [34, 118], [0, 51], [131, 205], [4, 48], [6, 55], [5, 79], [53, 130], [20, 98]]; loss = 0.028157 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 36019/? [5:41:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 36020; scene = ['89155a0d7d817b53', '0653c0585c65ef9b', '9f710f017b023a0f', '4de68fe45f2cf8da', '7523be2bd95f683b', 'b19972ab772a18f4', '6b643ea7fd9a47f2', 'f30c1287b499b59f', 'afcf166d35c344b9', '01fd1eb6cc528bf4', '7e5067f243e163c2', '32980d0390e9d273', '36cba4fb28af5f41', 'b480e474281f5335', 'a65f2600585e4c08', '9ce71811d7ef9514']; context = [[13, 76], [63, 138], [58, 117], [141, 195], [19, 86], [23, 87], [41, 86], [122, 191], [17, 73], [5, 78], [49, 97], [114, 158], [16, 86], [17, 82], [40, 111], [86, 167]]; loss = 0.027201 low_pass_filter = 0.300
+Epoch 0: | | 36029/? [5:41:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 36030; scene = ['63bbba3201fdf639', '950f50eb20e0b656', '82d49340adc62a9e', '3d8df97f0ddd375e', 'beae259803b77e1f', 'a348e7e5d35e62d4', '8dd9982d07e06ad9', '9e7127fac4cd1710', 'e63f5cc478795d64', 'cb9af04471339189', 'e3163ed6369a0cc5', 'c29d5f58f66a9102', '61e3f2a90af611b2', '2e42cb5881b4a406', '3354fd1e4ed18583', '3421821e39949234']; context = [[52, 120], [53, 133], [160, 245], [3, 79], [31, 104], [107, 163], [5, 83], [101, 180], [10, 56], [133, 199], [45, 90], [17, 99], [40, 84], [198, 271], [29, 88], [26, 70]]; loss = 0.028101 low_pass_filter = 0.300
+Epoch 0: | | 36039/? [5:41:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 36040; scene = ['951d3d3360153a68', 'be4f1d3a9081ec93', '8ed5a86dea1245cf', '969eae779f4745e5', '4fc52f6aeecd8f82', '88f7bc47eab8af52', 'aa1601b3c7e10e3e', '63acaadeb84a31af', '622a0d2554fc5402', '6c5e37d3a0fe6230', '26982d1d02e9afff', '0f6f85f900c47557', '014f71bd22de9f37', 'afe08596b2895950', 'b80b9aba988d63cf', '1756b54fd79326f2']; context = [[154, 201], [125, 169], [135, 196], [0, 68], [27, 92], [0, 69], [4, 80], [14, 97], [12, 99], [24, 104], [22, 85], [2, 46], [161, 217], [52, 123], [83, 170], [21, 102]]; loss = 0.024673 low_pass_filter = 0.300
+Epoch 0: | | 36049/? [5:41:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 36050; scene = ['a89d49837b7303c5', '5e924b8c9d7abf31', 'e58f27f45d7cce3a', 'd02f8cad1ec64f2c', 'e432d8c790cca366', '7e8beb820f189792', '583ab14553881ee8', '934f1135995ecbd1', '4c6e0eafc2e6c7ff', 'b6d96ca117b8b380', '23c0e70db47f9263', '1c1586cb9ecfc575', 'af219727b1aece30', 'c3ed60b37d9cc075', '59169909a46a7498', '99cc6ca43546208b']; context = [[160, 210], [45, 126], [24, 80], [40, 113], [15, 60], [30, 75], [1, 88], [29, 73], [66, 140], [66, 141], [8, 64], [0, 62], [12, 64], [2, 67], [143, 212], [27, 76]]; loss = 0.027798 low_pass_filter = 0.300
+Epoch 0: | | 36059/? [5:41:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 36060; scene = ['6d71b3b243c17a2a', '2de3d943aa0bf9e4', '98d868340d6c40cd', 'cee9068dad0a241f', 'dccf91e2bca52097', '267723fe1f811072', '0820210cf29ef425', 'e88232bf59271bc5', 'afb2780ec2449b62', 'adf6f584f6b81a71', '8f243590d88e28db', '34bd9723166c9978', 'ccb0540f2d49483c', '8839e65c6f6bb394', '68303c5bb3b62706', '6de43fea1f9cef11']; context = [[10, 90], [19, 84], [5, 69], [29, 86], [119, 170], [2, 76], [6, 54], [89, 133], [22, 69], [10, 70], [45, 111], [2, 82], [105, 172], [36, 83], [35, 80], [54, 131]]; loss = 0.023487 low_pass_filter = 0.300
+Epoch 0: | | 36069/? [5:41:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 36070; scene = ['b96769dd3eb7eb26', '5d8db238847b32d0', '3be459c1e06d17b6', 'eb5abfd252e9e5de', '6331b95bb2f8f587', '950cad2bcc09d5ff', 'bebb100714c996bb', '185f52423e3db8b6', '61deee6e086b0b4f', 'bee0ba753ec13d46', '432412e05ac309ba', 'bc6e849f31caa3c4', 'ef5ccaf64380143a', 'e44bfee2e76cc905', '1f2dc52e984a8009', '159a472b24f1c395']; context = [[1, 73], [24, 99], [15, 98], [211, 258], [5, 51], [14, 75], [38, 83], [151, 204], [146, 208], [1, 78], [31, 83], [0, 74], [115, 184], [188, 267], [7, 83], [10, 68]]; loss = 0.035646 low_pass_filter = 0.300
+Epoch 0: | | 36079/? [5:41:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 36080; scene = ['400de93f07b31ef9', 'ccc911bfc1da5add', 'e13c05a47e3ccd91', '3294d351159f7f8a', '7e35fff1a63d375b', '46ce7490a1d4098a', '18ea0f573a5be31b', '6e5c796fcf4536da', 'e0be076bbc19ccf4', '72fe1f7792f18024', 'cf28c4553759a3d3', '3107f55855aaac8e', '0d647f8c15b77aff', '132b518d21ec0496', '7715cf124575870d', '87d6f3be9dc23e27']; context = [[41, 119], [108, 186], [71, 118], [52, 120], [3, 66], [0, 49], [0, 59], [16, 103], [44, 101], [0, 44], [36, 105], [22, 71], [17, 84], [27, 73], [153, 232], [1, 82]]; loss = 0.024566 low_pass_filter = 0.300
+Epoch 0: | | 36089/? [5:41:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 36090; scene = ['dc7a324e7e3e0c21', '1cb7aee79f67faf8', '9127991e1bcbc9c9', 'dda1c2d4bd25e6f1', '66a079896a5f5de0', 'e17be9060afc6084', '97e72d8bd82aa998', '2a36ed883b16e48e', '627d2275dda31d2e', '9d04b522ad2fcf26', 'd08843a89e7375a6', '01e56cb442a2cb05', '554eec4e62ff08ff', 'a91564894324256d', '0f81cd5e8b04bc00', 'b393264d3027ec89']; context = [[25, 84], [88, 143], [54, 102], [5, 65], [4, 53], [63, 145], [4, 66], [110, 187], [9, 63], [22, 93], [3, 75], [97, 155], [3, 78], [7, 59], [4, 51], [35, 85]]; loss = 0.034548 low_pass_filter = 0.300
+Epoch 0: | | 36099/? [5:41:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 36100; scene = ['02b3569a04d42b1e', 'c0d7c010544c5256', '3c2046c344fb8daa', 'ab9bdef51c74535a', '0b9517e1c9fa61dd', '8b09c84f1ccbb970', '409f79107bf87d9a', 'a8b64d6025627de2', 'bf19e55e5dbb42fa', '85719f352ee0c48f', 'b30db99f009bdb92', 'd244e00302839aa1', 'eff77869db95b3f3', '094d184557fa6d67', '8e14947cbe7ba7b0', 'bdc8166f45caee7f']; context = [[125, 192], [20, 74], [0, 71], [24, 108], [0, 75], [7, 93], [17, 88], [11, 76], [43, 125], [14, 101], [17, 63], [46, 123], [3, 84], [10, 85], [99, 150], [100, 185]]; loss = 0.026397 low_pass_filter = 0.300
+Epoch 0: | | 36109/? [5:41:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 36110; scene = ['00c14c53270e07a6', 'a464ead502832cec', '2cbca2c38b796af8', '063dc505e73135af', 'f6ec5537c276e88d', '69b8747c662bc454', 'e9d11d18a0abff33', '592f02d9a81deedc', 'eed1f22c71b845b1', '67f5335d95ac7bbf', '9de7790c7be4dc5b', '9837661a38ea63e5', 'c01ce746e8786ee6', '92362c407ae31300', '51b622049a721290', '23132b7df2da8457']; context = [[12, 64], [70, 154], [3, 55], [82, 155], [4, 51], [68, 123], [18, 75], [8, 59], [8, 92], [42, 87], [37, 118], [20, 85], [21, 91], [3, 49], [20, 79], [115, 170]]; loss = 0.029482 low_pass_filter = 0.300
+Epoch 0: | | 36119/? [5:41:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 36120; scene = ['fb48f63887be7bd6', '90b6257c05fc6122', '4c598393eb534746', 'c38aa88da18441bd', '030e840a3568e0b6', '5fc68d2deb258a0f', 'f18f14afd3c487e3', '07d8eb8dbe12d00f', '3e07007116856015', 'b4552394fff24c7b', '9a45995c95b9df54', 'a64bc1a231c44593', '359f5288f9335f3c', '9e59ae705591e046', '98fb604e2b221457', '1e90fef135df3208']; context = [[17, 66], [2, 54], [24, 79], [2, 73], [55, 137], [26, 72], [16, 68], [46, 97], [3, 51], [4, 61], [164, 209], [73, 141], [10, 92], [36, 108], [0, 50], [53, 117]]; loss = 0.032027 low_pass_filter = 0.300
+Epoch 0: | | 36129/? [5:42:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 36130; scene = ['55ef7e7acbe84587', 'e83f9a06c24e0a28', '615d5da2368e312c', '56ce9c5595c74ce5', 'c544ed479973807f', 'c19be054a8a456f5', '5a661bc2c6c62f59', '93f64e2b3f286f45', 'e3e1426981836ca9', '46b6815db9c390d6', 'eb0ab00754559fc2', 'f16e17b3760c6621', '8d1c21696859cfa4', '57f08b58536b695d', '549110453313554f', 'ed8d1829b15314e6']; context = [[27, 88], [86, 173], [60, 120], [11, 56], [14, 79], [31, 98], [127, 180], [60, 110], [14, 95], [3, 49], [30, 104], [12, 81], [0, 71], [2, 64], [101, 155], [100, 152]]; loss = 0.027216 low_pass_filter = 0.300
+Epoch 0: | | 36139/? [5:42:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 36140; scene = ['f57a64d5f2d93f5c', '5e751b977a518faa', '7c5db86d341e9176', '55ef33fd3e85686f', '2572c333fdc8f033', 'cd3c99af3e6f1291', '230edada2d0a679f', '7d70798a0178383e', '061e2dfaf96677fb', 'c9a41c071845a38a', '86c8c9b0a6200b4a', 'cc095b6f7aaeff1f', '54dd2fecd7c5469f', '1ff50e90731cd85d', '6bbc8e2718708902', '5c6eb6a2caa8b53c']; context = [[1, 80], [64, 120], [3, 47], [0, 44], [68, 145], [40, 101], [10, 64], [21, 87], [51, 95], [21, 67], [14, 96], [4, 58], [8, 54], [64, 147], [1, 57], [5, 64]]; loss = 0.031960 low_pass_filter = 0.300
+Epoch 0: | | 36149/? [5:42:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 36150; scene = ['24e2bd161b660401', '1197bc73c78246d6', '6505aa5e0c26571a', 'e8185a3649c3de14', '5a0599afb3968bf7', 'd3df0f83d9d67aee', 'd44505ec46c78195', 'a88722d900d57a48', 'd6f4a941a42c6eac', '3b64aa64e8f04465', 'a6bb57de6591fc6a', '82ac4e44bae63290', '3a956584819acc7f', '7980d31b18da69a2', '56f87edb135ccf36', 'e34083fb85b25acb']; context = [[83, 140], [43, 119], [12, 69], [1, 63], [149, 232], [5, 63], [2, 46], [89, 174], [1, 83], [3, 57], [150, 231], [22, 87], [31, 110], [9, 55], [0, 48], [32, 114]]; loss = 0.026087 low_pass_filter = 0.300
+Epoch 0: | | 36159/? [5:42:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 36160; scene = ['da6bfbd9e35142fc', 'f7bb1f4325835c79', '2dce89a97b7df3f4', '97b724d2bcdba3ca', '4c6983bd3211792d', 'b3019d4573e524f7', '4a756a58d9ec5d9e', 'bf171a0b8ca0c7a8', 'e9bf2976170647a5', '7af404ed5bc4ae26', '5edf50794aa6642b', '60d3394314e4efd9', '5a66511ac6a1087b', 'fa2dd55d59f24505', '163e2dae752f2e08', 'e919055f68a731c2']; context = [[91, 164], [4, 53], [105, 187], [96, 152], [27, 109], [6, 77], [0, 51], [4, 69], [8, 77], [19, 93], [86, 152], [44, 111], [30, 77], [6, 63], [24, 106], [9, 85]]; loss = 0.025401 low_pass_filter = 0.300
+Epoch 0: | | 36169/? [5:42:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 36170; scene = ['c0377f906e517cf0', '863f3e91a241f8e0', '7bddc26793e9e69b', '6ab6e123d49043d9', 'e72cb89e98c183b3', '873e1ebab2825e24', '2499e40d728ff8d1', '4f7381df99227904', '8694a025d8c18e3c', '18cd6ab71c2fbe6c', '97e0f30c6b35264b', 'd3f720cb5f3a67a6', '60d296908f43a97a', '5d9068d775dc5831', 'b2288bf7003d5d4d', '7600a735405a9ed4']; context = [[3, 76], [8, 72], [94, 140], [132, 190], [1, 58], [17, 89], [3, 75], [0, 76], [8, 80], [1, 59], [19, 88], [149, 207], [1, 78], [5, 73], [89, 164], [6, 75]]; loss = 0.024642 low_pass_filter = 0.300
+Epoch 0: | | 36179/? [5:42:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 36180; scene = ['fbc71f6f2c124f9d', 'f7766ab4365bd6fa', '7353c2be5dcb6491', 'dd51e3825fb8400a', 'eba9df5e18faae55', 'a03503eb22f64a17', '8032cb2f4ac9e342', 'e31486facd91f4f5', '2abb97f6db84d481', 'adff1244e7025d77', '014d6d0fdfb6393e', '4daf1a5b162d8f4f', 'eb5d599c32500465', 'e46623a7d46b50d6', '723db63d24c84d1d', 'dd524a4305e778c8']; context = [[25, 76], [180, 234], [112, 170], [14, 99], [218, 267], [0, 55], [58, 116], [28, 82], [5, 90], [39, 117], [12, 91], [5, 57], [68, 129], [62, 131], [10, 74], [16, 81]]; loss = 0.039413 low_pass_filter = 0.300
+Epoch 0: | | 36189/? [5:42:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 36190; scene = ['b684311d3a0d4ac7', 'ad77f8fb87b70854', 'c30ceef53fe9f55c', '4881f7066e1c8c91', 'aed476777893fd8e', '8b279470a2039dc8', '9fbb249fd2eaba0d', 'bddf4d4f01a3de36', '5d78805f2591dc3b', '2f38e23c9af5b565', '816ab726dadb8795', '7c966a0b88e1d331', 'a2fb92cb976a8506', '83f9feb3fbd8b37d', '6da69e059ba7030b', 'fd752f8c7d7c9d49']; context = [[188, 241], [8, 90], [125, 198], [3, 52], [68, 116], [68, 148], [17, 63], [22, 93], [38, 87], [4, 75], [132, 181], [87, 146], [57, 107], [23, 74], [120, 171], [18, 78]]; loss = 0.026866 low_pass_filter = 0.300
+Epoch 0: | | 36199/? [5:42:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 36200; scene = ['f9a7b128f1a9a805', 'eca127496e1660ea', '4ef16baa6ba6b711', '59ff88a8a2aab514', 'f73370843951ee8e', 'ec3ac5aa298bf2e8', 'fb580b898c3b2276', 'e6385bd0566efde9', 'daaeb71d64ccaa12', '752b39e94e479822', '28a0169072657579', 'f9e17273b3868fe4', '8eea2b468ffe64ab', 'c600946013eb81ff', '46d14b9847efb5fa', 'aa748d40f93fa255']; context = [[1, 63], [27, 92], [6, 58], [95, 140], [59, 116], [110, 195], [2, 71], [36, 80], [0, 74], [87, 164], [9, 54], [15, 98], [22, 107], [85, 166], [1, 48], [4, 87]]; loss = 0.023083 low_pass_filter = 0.300
+Epoch 0: | | 36209/? [5:42:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 36210; scene = ['2ad704f011637e4b', '2fad8eea9cc3616f', 'c8d9b5cf9ebb5419', 'becad6404d25b312', 'e0960e2867fbec8a', '3e97a9d8a39cda43', 'a074c7e52538fe27', 'ab040c86608fb8cd', '7340966e764f81b0', 'f8432adea5a40169', '03f7460f8917b6d5', 'bf8bccba0669c23d', '55fb1bb001195c2e', 'f8ca559f76485ab5', '6495cc99c12835d0', 'aa0340ace90055e5']; context = [[2, 51], [93, 153], [71, 133], [23, 106], [62, 106], [2, 71], [7, 80], [57, 126], [0, 62], [113, 164], [93, 147], [39, 120], [8, 92], [34, 96], [121, 208], [30, 97]]; loss = 0.023698 low_pass_filter = 0.300
+Epoch 0: | | 36219/? [5:42:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 36220; scene = ['fcb068262633d1ff', '37f6bbd4189854d1', 'e60adb5552568000', '611e03caccdbfcb2', '7aa5bdc88df3e9ac', '7f8ef9cdb57ba705', 'bdfbd3a1900ffa5b', 'b016abe18b320165', 'bd4792b492ef6ce2', '037e425a971919a5', '0f5d277d4ad38a21', 'f3824daeea5f53ac', '6b083a9908dfc5b2', '3d66f70770dd1608', 'bd923a02cc463d15', 'f529fc8ad3a25e7a']; context = [[81, 157], [39, 93], [31, 89], [10, 69], [30, 103], [16, 76], [1, 68], [3, 77], [99, 156], [13, 69], [91, 173], [33, 96], [0, 78], [6, 68], [59, 103], [151, 195]]; loss = 0.026635 low_pass_filter = 0.300
+Epoch 0: | | 36229/? [5:43:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 36230; scene = ['dcfbbd4796e0d887', '22d8382cf0164976', 'ac04b9c416792d26', '4b6452c634b79f57', 'fc15fd0a7d1bd1b2', '082ba86063ee7e6f', 'bf9a4b1f7627c273', '0c30cc66e004912a', '41868518745c4b75', '4780bc2c45a43a89', 'a6d963c1f7142aa5', '4617ef7936485ffa', 'c5536f755d325407', 'c54533d824d476be', '4c27eae347247d25', '177fe99843448ee3']; context = [[5, 57], [199, 244], [16, 67], [2, 70], [9, 80], [11, 75], [8, 69], [17, 73], [133, 199], [101, 145], [16, 79], [1, 47], [16, 71], [1, 46], [10, 61], [181, 263]]; loss = 0.028498 low_pass_filter = 0.300
+Epoch 0: | | 36239/? [5:43:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 36240; scene = ['906665c2d458dd5f', '32cc836f91364cea', '38bca052a0bd63ea', 'd8f2630243a1b1f3', 'a2151466adf3ea7b', 'caaa3fc275a88f47', 'b94eb92c6c18432c', '25b956d02e19340b', '47e7899c39da449a', 'f61765e35a71eddb', 'dfb5a9520914b47f', '30bb04e939f45d7f', '1d1f6ff2bf5a761f', '48702ec12ae43a24', 'f66bd7a84be8e9e9', 'ec5058864932b759']; context = [[21, 104], [13, 98], [36, 109], [32, 108], [117, 173], [10, 60], [3, 56], [10, 66], [31, 87], [12, 67], [17, 65], [58, 114], [167, 234], [135, 201], [0, 47], [172, 227]]; loss = 0.027406 low_pass_filter = 0.300
+Epoch 0: | | 36249/? [5:43:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 36250; scene = ['67aa901c9e897988', '88a0e9bc46f4e05e', '0269bdc7f1711203', '5f04ca4ac1a635b1', '682307dfa2ffcb3f', '935a90bf15b8c7cd', '81df966eea295ac0', '5aaf9100d34579e6', '7125ae35464adb5a', 'a42751218de3c92c', 'a9caf4fcb2bca405', 'cdadb3960ffc1de8', '5dee435a268fbf38', '6b990b7b7e1842d9', '875839ca4b0de009', 'a6ac9a6cc22cef98']; context = [[33, 79], [177, 243], [4, 55], [93, 141], [34, 86], [107, 169], [133, 184], [29, 74], [0, 58], [28, 98], [6, 87], [103, 178], [8, 90], [1, 45], [35, 84], [154, 239]]; loss = 0.031374 low_pass_filter = 0.300
+Epoch 0: | | 36259/? [5:43:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 36260; scene = ['fc964ab5439155e6', '8fcca8a4f0e2877c', '937b13bf6372d464', '9619375d2bef132d', '2c6ac0963c11ffc0', '000e285b03f3fddf', '7569b1a23a0c670a', '14464e9cd85e72bd', '103792bf6a24849b', 'c2a910981ea58dd6', '154ffc3f70fe9019', 'fbc2ebad8df77f1f', '2c4bf4c81f761386', 'ac030ef563710103', '131a064a5ab68a39', '00e735135acbf78d']; context = [[0, 51], [2, 57], [19, 96], [13, 81], [88, 156], [18, 65], [184, 254], [20, 92], [9, 62], [5, 70], [26, 97], [47, 100], [78, 143], [56, 126], [11, 74], [105, 152]]; loss = 0.024840 low_pass_filter = 0.300
+Epoch 0: | | 36269/? [5:43:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 36270; scene = ['e242d43a1ef0a6eb', 'fe2fce8e4eb8f882', 'f523413a42b1908f', '5b4e5590f2d212b0', '0a0b7d56d8bb16f3', '7ed76c117c27b1e4', 'ad7d01ce66eaa31d', 'd5d73e1025a23bae', '504f38f5d0b716bd', 'a2bc2177cf70eab6', 'f720437b9f3f2185', '0722e6b29c398d78', 'd6630f80b45ff8c0', 'b99be4a64b39bf00', '9e074c67823c5c9d', '783d8f95e5260da3']; context = [[130, 181], [2, 48], [10, 75], [4, 64], [0, 45], [9, 91], [0, 68], [49, 93], [141, 193], [54, 98], [16, 71], [42, 103], [0, 44], [29, 103], [6, 91], [35, 115]]; loss = 0.019516 low_pass_filter = 0.300
+Epoch 0: | | 36279/? [5:43:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 36280; scene = ['ebc7d29df9f0118e', '85e7bd689f02a846', 'c6beb6cc90853cee', 'e2fe2859c146b8c9', '56b52d634f3a3d1e', 'd936dd442514c73f', '00a907a68edf05c7', '8bdd245418f71b00', 'b2cfbaf2c3d29d35', '68202dbda0564cc9', '8f0f4e93618b5921', 'fdc131eac4278a97', '5e7cc8af514e5b68', '1fcec6a56e64b810', '48f49dba0baa7b03', 'a9faa738331d806e']; context = [[117, 204], [26, 75], [7, 65], [17, 67], [2, 73], [42, 102], [2, 46], [0, 44], [23, 75], [27, 100], [21, 66], [81, 161], [150, 204], [29, 102], [35, 122], [194, 273]]; loss = 0.025415 low_pass_filter = 0.300
+Epoch 0: | | 36289/? [5:43:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 36290; scene = ['3e3ac6301a680721', 'e47d7adfb65d9ea7', '189844bd4018f1f8', 'ed371e69e6998407', 'bb89152f133e38f3', 'ac8956f5b8d023ef', 'f4b4786cbda19a25', 'a0e908b9e7ee351b', '26012b01e6882785', '33228960a7ed2afd', 'a99bff09274b99f7', '64b6574079bdfc05', 'fd2c1271ac4794c7', '2d17040e1efd14f3', 'e62ee8ff4179b4b6', '6c52c204d0fe9f7f']; context = [[155, 200], [44, 106], [62, 130], [34, 82], [15, 84], [1, 47], [0, 49], [1, 45], [1, 67], [114, 158], [2, 66], [25, 109], [9, 75], [12, 92], [28, 104], [33, 118]]; loss = 0.028160 low_pass_filter = 0.300
+Epoch 0: | | 36299/? [5:43:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 36300; scene = ['b0276bd9f5678bbb', 'ea5def9e91076788', '0ec97594c56387a2', 'ed5f4d7bd89e9901', '821aad9f30ab0965', '4e63e1c5d0b9b2a1', '1b33985aabda6342', 'a1759ae7da7d09fd', 'b698fa440448d445', '319409c5232bd5f8', 'fb92ccfe3044b916', '9c478d19d0174e9b', '3f0cc5e7b0d45c74', '2a7814a09f94b1ef', '85a9d0916db92759', '76a7e3baa458cb1c']; context = [[65, 123], [62, 116], [9, 76], [100, 172], [33, 120], [0, 87], [115, 167], [10, 82], [169, 253], [3, 69], [69, 124], [125, 193], [34, 104], [0, 55], [2, 64], [35, 96]]; loss = 0.087661 low_pass_filter = 0.300
+Epoch 0: | | 36309/? [5:43:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 36310; scene = ['9632d39d8a42eb51', '04df74efd5400b7d', '8a25e72ba8812563', '147e4f3e5f03f3d4', '7a39bd58ec1d2ccc', 'ba5f37a10c6dd859', '057c338b658d2c6b', '3d4952a1e8289a7f', '6b503257ae05df64', 'c54a9bc3c2a962cd', 'ddc351e8ca2cd299', '94c8f1c6ee33001c', 'e452811140e730af', 'c177284557cac835', '936cfb94d0fa2d95', '78439ac06504df45']; context = [[29, 75], [143, 213], [7, 62], [39, 106], [24, 80], [25, 88], [90, 168], [8, 67], [190, 254], [143, 230], [36, 104], [1, 87], [2, 53], [113, 163], [0, 76], [43, 102]]; loss = 0.020919 low_pass_filter = 0.300
+Epoch 0: | | 36319/? [5:43:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 36320; scene = ['2d66737832c4cd18', '4e3342227bac9194', 'ce357c0e48f61ef9', 'ef32d6c5ae18f16e', '66ab33a1b3e31e7c', '9c9e982632b63f97', '393f1427397745fc', '618536ae5f39352b', '9dd0efd4b4626604', '20023bc0d2cd36fc', 'e7d38a7e5cb0a8c4', 'dbff8fae78b2b07f', '6259f31e093585f5', '3a774fead9e1acce', '7280451b8d7c7f9e', '722027de6ecb99f0']; context = [[1, 66], [67, 130], [4, 53], [4, 90], [116, 164], [0, 80], [3, 64], [53, 129], [12, 89], [19, 103], [4, 78], [68, 127], [63, 143], [12, 76], [7, 67], [26, 74]]; loss = 0.026734 low_pass_filter = 0.300
+Epoch 0: | | 36329/? [5:43:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 36330; scene = ['d989b4ca317f5cfd', '6e36a755fdec75d8', '2b14178ced93f0da', '5aa203774fc782b4', 'b850fac8dba8c9cc', '745ad1cee81a6a56', 'fd121f0c77ac0c01', 'a7264b9005fa40fd', '14d24ae076dfd157', '38b203b44b7b4f57', '7b4006c02dddd695', 'bac018643bed4fe8', '90b8a7971706986e', 'f89c69501680aec3', '047927ab286923c2', 'd26799d89f2a846c']; context = [[27, 79], [47, 128], [26, 85], [5, 65], [80, 150], [0, 56], [82, 132], [82, 142], [9, 70], [30, 84], [182, 261], [46, 103], [4, 53], [1, 48], [0, 49], [4, 66]]; loss = 0.031253 low_pass_filter = 0.300
+Epoch 0: | | 36339/? [5:44:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 36340; scene = ['777a625e551c0354', '24d937b4695cd100', 'fd4972b6ebc2992e', '3774a128fdeb369c', '3dbffcf222b91c46', 'c1ddddc26c9fbfb1', 'eaaced3e184a681d', '629ee0f8a9bb570f', 'dd9b2201803468d8', '8569d8fe098bf3e7', '9e2278190fe8af7b', '169d58442c7abe80', '1019dbbdb880e727', 'fda3cf8f3c1994fc', '5329c1001f9e5c39', '7e77a702ae28189e']; context = [[72, 153], [50, 100], [93, 138], [9, 71], [104, 174], [12, 71], [100, 171], [10, 75], [101, 166], [94, 177], [0, 46], [43, 121], [6, 71], [44, 104], [0, 76], [16, 73]]; loss = 0.029076 low_pass_filter = 0.300
+Epoch 0: | | 36349/? [5:44:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 36350; scene = ['8d44230707ae23fd', 'e63271fb76683a3f', 'f939a717c8f8cccc', '70e73cd89c3a3cc9', '5d09191618df4e27', 'b6efb653209b341c', 'ef03ee83ae08d3ea', 'b3ce0a1b64b915f9', '8c491d4e4f409c56', 'c78fbc4042f91358', '2ba622b78fc4569c', '51723a3c78e7e420', '1198c875e8b58d45', 'f3ed8d2562b3bb55', '23317565a1d37489', '0a573734d65d7227']; context = [[2, 80], [2, 66], [50, 112], [54, 130], [64, 111], [127, 192], [38, 110], [13, 72], [1, 65], [32, 76], [0, 83], [21, 104], [9, 78], [10, 60], [2, 62], [1, 66]]; loss = 0.025008 low_pass_filter = 0.300
+Epoch 0: | | 36359/? [5:44:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 36360; scene = ['97364ceb9f747de1', '06d3d9cbdcc2b1aa', '08cef1a3bb1536c6', '4fbde5ea62da3342', '375f4357d350d82a', '80d0c8dba40492dd', '07bbccee5f7e1df6', 'dc73b2d2bbc66fc0', 'd33f96b34b59536e', '02003c6738743fb8', 'eea538795dc99068', 'a316eb155d7e477c', '6be96a2ce575c89a', '273fce55932d575a', 'ecac75a36d941d5e', 'd3050899f139615e']; context = [[9, 84], [37, 114], [0, 64], [17, 62], [50, 126], [102, 180], [2, 46], [9, 93], [8, 69], [123, 173], [83, 159], [46, 101], [18, 83], [13, 68], [193, 243], [23, 96]]; loss = 0.026108 low_pass_filter = 0.300
+Epoch 0: | | 36369/? [5:44:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 36370; scene = ['0a6f113442f426de', 'b45e47d231088428', 'ffda743d376dcde8', '9ca80f3ebf759df0', '882fdfbe720a3236', 'd81116dc8c96547e', 'b74cd30ef141705d', 'bf0755be50798d45', '2ed8d2b8c1159862', 'c81095ff7cc7034b', 'f24b2611ba45a2cf', '241096ca94ccb259', 'd62c060a62da110e', 'ff1a64808d8981a4', '6f13f9ecee0df7b2', 'f34ab7eb2825c56d']; context = [[4, 74], [2, 63], [73, 125], [3, 67], [166, 227], [14, 101], [0, 81], [11, 76], [46, 91], [0, 80], [50, 120], [84, 132], [2, 48], [2, 52], [11, 81], [180, 232]]; loss = 0.031727 low_pass_filter = 0.300
+Epoch 0: | | 36379/? [5:44:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 36380; scene = ['1d73a12a3a006b03', '1c40367f8f64b13b', '47f0dfb0693f6c43', 'f0e9e439d773ffe0', 'd6bd2d707ffadb41', '993b224086d80631', '02fa87fdec616cea', '6d5a54c1e1c29840', 'acd9930567987388', 'a4ee84d202934a78', '2b1128df87dfdc20', '046d4c41a7aacb4f', 'ecb9a4abac144ddf', '7dfa099616efca7e', '758f222b19251a2f', 'e8e5f88a2e00604f']; context = [[37, 121], [35, 93], [38, 93], [6, 66], [37, 107], [147, 206], [79, 155], [22, 106], [9, 77], [9, 83], [33, 90], [14, 75], [12, 57], [8, 56], [56, 144], [48, 127]]; loss = 0.028341 low_pass_filter = 0.300
+Epoch 0: | | 36389/? [5:44:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 36390; scene = ['76fbf387304b28f9', '954740f1e0accd65', 'd82ee5a0e75594a2', 'b747e790afd098fa', 'db16e7d25a1aaf71', '772117f001cadf76', '1796cd953fcfd33f', 'c0ac407355970e00', 'ee06f74c9da200b8', 'a3e5e6b0475c232d', '5b72ec542379ceb3', '3db7a3442e8d1781', '006ce7c81b5027e7', 'c15a92c8117c7c9e', '1d65751b99eee865', '31f4d27ca059d335']; context = [[28, 97], [138, 210], [5, 51], [67, 122], [9, 77], [21, 80], [25, 108], [118, 174], [0, 60], [4, 76], [2, 64], [19, 99], [6, 84], [29, 73], [63, 121], [23, 79]]; loss = 0.027462 low_pass_filter = 0.300
+Epoch 0: | | 36399/? [5:44:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 36400; scene = ['dff8abe7fb65a56e', 'e6c85be23fed04b5', 'e5245590cf6cd5fc', '598b1c9d13403339', '8fd650e68fb27844', '3cc5e07978538c0b', 'deb3e637a2b8d971', '4bf8e1ae461f5eae', '336296e17134d8a5', 'c939b1e53eebfcad', 'a0918e81b29ea2d8', 'd7a82aa577ae8a6c', '81691434e83125a2', '512b6de83df6fea4', 'cce776cba18d88a3', '27f3cec9a7ea058c']; context = [[201, 273], [4, 71], [170, 223], [107, 163], [13, 65], [1, 53], [9, 95], [5, 68], [11, 59], [7, 69], [57, 116], [34, 87], [51, 123], [47, 99], [4, 69], [37, 102]]; loss = 0.029536 low_pass_filter = 0.300
+Epoch 0: | | 36409/? [5:44:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 36410; scene = ['62c772a1ef24bec1', '417d5cf7c5509a8d', '137dd2f35cdf8566', '0c3be1d749038cbe', '866ede3b6acca477', 'b89696243c8b345a', '3027e1f17f7891c8', 'a53e86a301e2d2b9', '430406c1e2815e24', '184f88882b243fb6', 'b09d1ab83491c9e8', '611e7445a2567f6c', '0b2c6745daa6b386', '739668a2e4736e71', 'acde2409a2fc2794', '3c5f2dae4dc0f519']; context = [[27, 82], [1, 60], [79, 144], [4, 68], [2, 88], [123, 209], [86, 151], [176, 262], [191, 257], [86, 152], [0, 44], [92, 163], [4, 91], [57, 144], [1, 64], [69, 119]]; loss = 0.026401 low_pass_filter = 0.300
+Epoch 0: | | 36419/? [5:44:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 36420; scene = ['8913a77c9f388657', '4fd056d18c23b0a1', 'ee7e466e2abafbd8', '476d0a5c62620693', '6743150e9200508a', 'a375d11b538e65a2', '0c4a1ffd5058289a', '05edd0204e085deb', '971c9593e36dae15', '282554ad95f2111f', '38ee5223789f3393', 'b934bb1208684110', '70c502d0b9e6f1bf', 'f8b94108d89ec159', '595b5d5487aa350c', '48201de72ef30c1f']; context = [[7, 74], [10, 69], [5, 52], [45, 95], [55, 138], [13, 72], [80, 124], [35, 109], [41, 90], [98, 184], [10, 81], [12, 90], [5, 67], [66, 127], [71, 135], [6, 51]]; loss = 0.029966 low_pass_filter = 0.300
+Epoch 0: | | 36429/? [5:44:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 36430; scene = ['a5ba0427831f1af5', 'b955173d519e9fa5', 'e0b6e08936e4eaa3', '73a5af87f854aa5d', 'de54aba01955af97', '3acd2a0d166e55fd', '48444b439f95a35a', '6e16f2a6fd80bce9', '1ef0cba4ecae4ed7', 'ff47d0c7e81c3943', 'c2ac8ef4459af817', 'c16696d55dc929b2', '11ce93a3b415329e', 'c6cea245140c3f81', '5c0a8d4d61b56c5d', '9aab81a10733d402']; context = [[143, 208], [0, 44], [169, 241], [6, 55], [79, 150], [81, 140], [22, 85], [22, 76], [1, 70], [165, 225], [22, 86], [8, 73], [5, 79], [25, 93], [22, 93], [14, 89]]; loss = 0.028001 low_pass_filter = 0.300
+Epoch 0: | | 36439/? [5:44:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 36440; scene = ['275f27cc4db7568b', 'ab0239d102bf33a5', '34854bce89063360', 'f5335d3def7ad3c1', '9a9c3309d1892ee2', '7fd3cfd708b00848', '7193d145364c2d31', 'f229b950ec0bc02c', '8992132d8d60091b', 'b84207625c4ff157', '9e8a968b1a4419fb', '750dcf52fdc26f1b', 'ec3a82daf4c8fea1', '0e086df7e36e6b5c', '6828fa8d4cb601d5', '237a1d9e48147ad7']; context = [[4, 89], [73, 131], [31, 115], [1, 73], [21, 80], [48, 95], [101, 147], [149, 209], [0, 69], [23, 102], [39, 110], [24, 73], [5, 83], [126, 190], [6, 72], [7, 84]]; loss = 0.025105 low_pass_filter = 0.300
+Epoch 0: | | 36449/? [5:45:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 36450; scene = ['52d583eceb3d3979', 'f84b1a9902b54c5f', '32499509bb075446', 'dc691056764fa534', '726929198a0059c6', '2a13f41268478afa', '02a0ccd1bd1a7696', 'a237ef616a3b03f5', '3ac23dbcb3d6a123', '4d716ae41fc70638', '8b6551bb28273423', '53857414accb7b44', 'a931f15fa6a0b25f', 'fa1144b7f9d07d59', 'aac9763228745ec3', '9637428fa666ef4c']; context = [[26, 105], [13, 63], [153, 232], [56, 101], [31, 81], [199, 248], [121, 195], [0, 58], [40, 108], [8, 71], [137, 184], [1, 76], [105, 151], [14, 72], [62, 115], [29, 97]]; loss = 0.026026 low_pass_filter = 0.300
+Epoch 0: | | 36459/? [5:45:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 36460; scene = ['5fde16a64e4bd9dc', '480b24222f7fbfd8', '4056bb826aef8ade', '5b92340f63f9c203', '9fde8722007f8bca', 'c24cd890c317646f', '86287d82fb124128', '20af8a91f51f8f18', '70715befaeea6c30', '474cf6a72f5206d3', 'b61a61a34fbd3c37', 'ba79a139b77ce96f', '2cf86dbb02e3fc32', '385f7d59803b3a84', '82fef8e6ffc1ad77', 'b7de6d5965f4037f']; context = [[4, 73], [49, 132], [68, 150], [9, 86], [0, 47], [45, 105], [0, 60], [56, 110], [16, 70], [2, 70], [1, 46], [3, 81], [22, 90], [2, 85], [5, 78], [1, 55]]; loss = 0.027640 low_pass_filter = 0.300
+Epoch 0: | | 36469/? [5:45:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 36470; scene = ['f8e32278bb006569', '7565f5a8df58c2f1', '40453913f3e6c90c', '65410d22f0d980f7', '693db81439adb0d3', '2a5b8373cd153193', '5f5f690da0e4ecbb', 'd6956a508357c234', 'ea21efe547c57ccf', '9a92a4070785e9b7', 'b5d2cca01af50b85', '5629513f08256634', '3ab97fdbbcc240e0', '6c3c8af4da8a4278', 'dc1d3b4c937283cd', 'ccb547dcb32e6a39']; context = [[17, 103], [12, 61], [31, 76], [140, 193], [141, 190], [9, 63], [28, 108], [105, 154], [20, 69], [12, 62], [11, 66], [38, 101], [1, 71], [7, 60], [47, 126], [22, 86]]; loss = 0.027218 low_pass_filter = 0.300
+Epoch 0: | | 36479/? [5:45:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 36480; scene = ['7fdd72e496bdd789', '6d712bf86b1bb79f', 'beca6316630c1e57', '552c35c6d99b5e62', 'b67893ee6b828446', '5b86590ddabc6579', 'e29e8b055b6fba61', '9dc00be786d8cc92', '95d2f8fdec5ba6a0', 'fa04057a58669ca0', '454f75b50703173e', 'ade8a86455248182', 'c4ac11db4065a715', 'ad48778f544bc187', '6dfc758d94dc0b20', 'cd2cbe06b65c6337']; context = [[51, 97], [4, 78], [7, 75], [13, 57], [44, 89], [4, 48], [19, 88], [83, 138], [25, 85], [1, 71], [56, 129], [11, 97], [34, 108], [4, 48], [123, 187], [83, 135]]; loss = 0.025674 low_pass_filter = 0.300
+Epoch 0: | | 36489/? [5:45:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 36490; scene = ['a00677410f377f66', 'd433a78ed22786cb', 'be3a68742dbe1610', '62e85674c011f64b', '0f8adc9b02ba1db0', '4e064993599076dd', '0c5c3bb436ed7ea8', '1446c12cceb0df17', '4592bd545ed2e2e7', 'f7ddde2e3318692a', '0e086df7e36e6b5c', '9e8a968b1a4419fb', '7193d145364c2d31', '6828fa8d4cb601d5', '750dcf52fdc26f1b', '7fd3cfd708b00848']; context = [[60, 138], [10, 58], [13, 95], [1, 78], [65, 131], [19, 82], [172, 234], [2, 66], [47, 100], [131, 204], [117, 192], [99, 185], [12, 97], [14, 74], [16, 89], [37, 120]]; loss = 0.025466 low_pass_filter = 0.300
+Epoch 0: | | 36499/? [5:45:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 36500; scene = ['df0ac86df48f6d06', '1018776739e1250b', 'b1dd1726f1f46b42', 'cabe1e553676170f', 'bef07f5d854b4ecd', '2caa3fcd9e69c050', '3a5c506b28095e20', 'bb0d0e90168fed9b', '5d3d63fe880e747f', 'b22b2dddb6514fad', '8937f2ec63b6fecf', 'd9b2f1092421b1fa', '078baae375f99e2f', '9607118d925d0c92', 'a547d9a777dba987', 'cf6bc43fbf8c8dd2']; context = [[159, 226], [16, 68], [55, 129], [11, 83], [0, 66], [71, 125], [4, 71], [15, 92], [6, 91], [210, 271], [19, 94], [30, 74], [2, 83], [1, 50], [123, 202], [30, 114]]; loss = 0.026441 low_pass_filter = 0.300
+Epoch 0: | | 36509/? [5:45:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 36510; scene = ['266e25d2ef565ac4', '7c7f34a2e46e7cef', '4f7ab72279a57984', '436cf64ba0827272', '2235fe0f5116af0d', '8eb77501b906faf0', 'fb862259dcc8a0aa', '047b9960d19e3c60', '06f384602bc7e787', 'ddabc74cbdf2849b', 'de2ae796f06043da', 'da0f564e5210d09f', '51b04fd9435b6853', '72040346a65ca209', '74b69334da4939e2', '7257497d7ddefa3f']; context = [[61, 143], [170, 229], [71, 123], [48, 105], [28, 114], [0, 82], [14, 66], [98, 177], [80, 136], [2, 54], [53, 129], [45, 129], [65, 114], [169, 226], [67, 140], [95, 143]]; loss = 0.024731 low_pass_filter = 0.300
+Epoch 0: | | 36519/? [5:45:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 36520; scene = ['29a5e76da0fe508e', 'fb2b05793115d09f', '7bc459cf2cd73e6a', 'f1970010dd9e1e01', 'c8da67d9fdccb60c', '8e2be4982c66d479', '5abb32040e5b9f10', '253e8f820f98d690', '82fb9650578cf923', '4f6bf6243912aa92', 'b84872a112abb026', 'f3b614caf5078792', 'b8411d41299a345d', 'c1771c630bca02a9', '94be78a8a5500285', '9e51170a8e584e09']; context = [[1, 47], [2, 83], [11, 65], [8, 88], [1, 88], [26, 109], [24, 88], [78, 128], [14, 68], [76, 147], [0, 47], [10, 73], [1, 71], [46, 121], [45, 122], [28, 93]]; loss = 0.023590 low_pass_filter = 0.300
+Epoch 0: | | 36529/? [5:45:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 36530; scene = ['afbcb424f59b922b', '65eb90461a63a1b3', '3bcf3bcfc5d5c365', '571879c55dd10963', '16b14fdfebf649c9', '63cff13813cbc4ac', 'cb6f76288d4df310', 'cb0a6da1e15cff56', 'b1e4b57401d302e3', 'c75a367b86e8c891', 'd6344c065176bd92', '055056efaf74b2e7', '9a35314e58d81ed6', 'b8387972602730b1', '97dd9db901df1c48', 'cfdb58b8de56baf5']; context = [[2, 51], [25, 97], [0, 77], [36, 96], [3, 57], [55, 109], [0, 57], [45, 130], [189, 239], [5, 67], [2, 65], [46, 115], [20, 91], [11, 99], [4, 64], [5, 52]]; loss = 0.027374 low_pass_filter = 0.300
+Epoch 0: | | 36539/? [5:45:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 36540; scene = ['78951deaf8c67b08', '9b0d3cdc51db98e9', '67b991e3e371c9b4', '565d85abf1302908', '0a1019091179b025', 'b401ef3f7e19f7e5', 'c2e5059160758f32', 'e1e48253189d6a37', '04350c5274a81d85', 'ab45edaf514e3150', 'faba273f0a3debc6', '31ee94df5ad93459', 'b22be07118b3640b', 'bbe918789666cc17', '77f2655068e1c4fd', '4682f088198970d6']; context = [[1, 86], [1, 50], [46, 127], [120, 189], [22, 98], [9, 61], [24, 79], [50, 106], [10, 67], [21, 107], [6, 66], [164, 234], [26, 75], [39, 95], [51, 137], [9, 56]]; loss = 0.022143 low_pass_filter = 0.300
+Epoch 0: | | 36549/? [5:46:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 36550; scene = ['c28f5b0713ea8927', '32936b5443076f5c', '1a1b424f93af5432', '1c0f40cd04838650', '807f25b62e86034b', 'a4c42be1726162f2', '40c66143ed5c8cc2', '050af59dc380ea13', 'c936a5da00c11cfe', 'a43e51b1f17661f4', 'a5526e3fba4e3871', 'b428ebca685f1c31', 'd8e82f327f681848', '79e8072ff1125b2e', '2ad9699b71424c0f', '3e568bea5cbf4dd3']; context = [[44, 97], [1, 64], [187, 235], [46, 129], [20, 87], [31, 83], [158, 236], [0, 45], [7, 55], [0, 54], [202, 248], [33, 101], [5, 58], [1, 55], [11, 90], [103, 168]]; loss = 0.023242 low_pass_filter = 0.300
+Epoch 0: | | 36559/? [5:46:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 36560; scene = ['f495b039a84b0988', 'f4817bc9b470dfaa', '741157d815e33610', 'dba1c1788e6a3478', '88dc98e74deb6e1f', '558e6d3b43990261', 'dc4cde40cb53c448', '63af9885dcfadd96', '4bd0d8b0f8411adc', 'd7f4c5338967ef5c', 'b20b69d74585d878', 'e5d9bba19e6090de', '10cc7bb061605d57', '6df3bba71999762d', 'e2dd04a765274f4c', 'cd4a9ef6996aa077']; context = [[5, 90], [31, 106], [190, 237], [15, 59], [42, 105], [24, 100], [4, 75], [39, 102], [12, 93], [15, 83], [31, 101], [1, 89], [189, 271], [124, 207], [11, 67], [22, 97]]; loss = 0.023737 low_pass_filter = 0.300
+Epoch 0: | | 36569/? [5:46:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 36570; scene = ['350250d5e23abe42', '601ccf10319e2f53', '1da8bba08ef5d022', '3b559cada02ade84', '02e51473f83c2da8', '67aa2aa232d5369e', '729a45ca32c04257', '1541443b0f9f6d16', '3f1b91f60386c5f3', 'b5460ab2cb43fba9', 'd3be28b87efbb74a', '8169c8faa57d4f73', 'dc82737a9ed81ffc', '3a51433314e31d1e', 'd60624e14709aca8', '2da0d2a359988cf0']; context = [[17, 92], [56, 123], [127, 178], [11, 64], [81, 142], [36, 84], [177, 222], [2, 58], [19, 92], [23, 76], [29, 75], [97, 174], [3, 47], [71, 151], [31, 110], [14, 92]]; loss = 0.027355 low_pass_filter = 0.300
+Epoch 0: | | 36579/? [5:46:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 36580; scene = ['8a3e2cbeedd91c29', '3a4a10a316270e72', 'c2f4a9a48094a748', '67303c1c83feffbd', '707548393b4bc8a5', '001c43a59a9e0b16', 'a356dab14e5662de', 'd450bfc8d4fd93fc', '019bf9d48f4362ef', 'd1c6899b6c6ef917', '0c2a75ad7d5b971d', '67fcd56243f81f4f', 'ea30bf8a65e93961', 'fb6364b47d824180', 'dd5ed29765330d4f', '34cc043eac727166']; context = [[27, 79], [43, 90], [0, 46], [16, 80], [39, 96], [56, 142], [0, 78], [1, 46], [35, 84], [6, 72], [30, 109], [188, 266], [9, 63], [88, 150], [4, 63], [129, 214]]; loss = 0.026669 low_pass_filter = 0.300
+Epoch 0: | | 36589/? [5:46:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 36590; scene = ['efc29d2b260db828', '7c41d64533a693cd', '834d220fc4260494', 'f1f45ac7469e567a', '082c0c02689ac9ea', '1ac2a4b1e19586d2', '20c567d65674f2ca', '58d3f0291ef949cd', '3c4bdecd948605b2', '5873515e83e4f80c', 'ed32136a29bd41e5', 'fa65596a8e365af8', 'd77d8728b4f60c05', '45e99af9de479d18', '37d500b0d445527a', 'b9f4bf0923570c4d']; context = [[10, 86], [165, 247], [34, 91], [31, 75], [71, 141], [50, 127], [0, 81], [76, 152], [0, 75], [24, 76], [40, 122], [196, 273], [20, 67], [24, 71], [60, 129], [5, 69]]; loss = 0.028693 low_pass_filter = 0.300
+Epoch 0: | | 36599/? [5:46:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 36600; scene = ['e505e1426e248b71', 'a8bdfed1dca087ef', 'ef640b2f20e99e16', '1f0fa5402763bb4e', '8e1d14eee9286097', 'adebe02303ab2e6c', '6a8649c12f74db20', '7b9b7003ec4e78a5', '8af368949983a521', 'be414fc8a382334d', 'e09552a1d3ff9da2', 'dd17004fbd4dcc42', '50d7e64b19747fad', '6ceee3e441827b1c', 'fc4456fea1c67e5d', 'a6e5fde299dbd66b']; context = [[134, 221], [1, 51], [45, 120], [16, 86], [55, 117], [51, 113], [13, 88], [49, 136], [8, 65], [29, 107], [140, 201], [32, 92], [4, 54], [6, 80], [109, 178], [40, 104]]; loss = 0.029900 low_pass_filter = 0.300
+Epoch 0: | | 36609/? [5:46:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 36610; scene = ['eae335066648fbe6', '90dbfac63e6b89be', '826bba2bcafe7d03', '0a261b18c09f9f58', '63530ed9d72a8372', '77da7b2b980f34f9', 'f2f7df2a8b307e10', 'a44d6979b3bafcce', '229a78770f9e62ab', '375a71d06e55dbd3', '3c9a565ad968626d', '554969e92f0c8d3b', 'f47283447b11a0a4', '2b63e3da632073f8', 'c902db04aedf721a', '2b03daae55bca39c']; context = [[5, 68], [9, 58], [195, 245], [184, 236], [11, 77], [154, 216], [13, 58], [3, 52], [44, 117], [53, 137], [25, 79], [110, 165], [41, 97], [18, 80], [78, 141], [101, 189]]; loss = 0.023680 low_pass_filter = 0.300
+Epoch 0: | | 36619/? [5:46:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 36620; scene = ['c7ebaa45b364c9d4', '97cd7fcb21aa841e', '69c37577c1aae10a', 'e4ad77a941628fea', '96ad6fdc08cdfc37', 'be23a4b4e11391f4', '611bad07db5d9180', '39e77582c902fb47', '9dd47de79d8a59b1', '88f0ac14ed8feb1c', 'c6b0970a98ef932f', 'b02dc4e4cf0ec58e', '627833d07680c6e4', 'd5b19358d6d05a63', '64f0e0779e200db1', '9ee288075a75d9f7']; context = [[2, 87], [3, 78], [0, 57], [37, 84], [7, 78], [5, 60], [10, 69], [165, 241], [40, 118], [16, 91], [48, 96], [86, 138], [16, 93], [8, 96], [7, 70], [6, 69]]; loss = 0.027831 low_pass_filter = 0.300
+Epoch 0: | | 36629/? [5:46:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 36630; scene = ['aef61dd546a094f1', '85dee45f94a95c17', '5ea49c4330735de6', '2eb9dd51f20a9d19', '5ce1d9b4b20f5c9b', 'ae82cdf33b5b0915', '11b82d701e534e7d', '07d1274f64a5081b', 'c9a206a3329302e3', 'c3ccc4ebd91fc7ed', '3c6fd8ba9c412ce8', 'c040751b7e2b2ef3', '033e302c06eae28a', 'f3063c66b1e84d2a', 'b2027e45d50ebe71', '1ae570de2e1c86df']; context = [[1, 62], [4, 60], [173, 219], [60, 104], [173, 222], [33, 79], [12, 94], [1, 80], [152, 235], [47, 95], [3, 64], [32, 79], [61, 111], [24, 97], [49, 128], [18, 73]]; loss = 0.024882 low_pass_filter = 0.300
+Epoch 0: | | 36639/? [5:46:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 36640; scene = ['1b046ac48aff103f', '0ea02580498c6df8', '3d010d79a440ad27', '3665af07357cf4fc', 'b790b4a50266bfac', '1c68ef09c2a2adf6', '518418acaebb3208', 'ead11a79720faa36', '9c7d2b15b61d403a', '7281282183a977d3', '5284dd49770861a7', '4ab606710f06af0b', 'c377a8133c5e7a82', '7dbbedcf6deeb966', '3184a8586eb9d26a', '18e18c7f3e6482bc']; context = [[8, 56], [17, 72], [4, 48], [10, 61], [30, 85], [5, 51], [76, 155], [44, 123], [0, 70], [54, 98], [3, 64], [149, 229], [0, 66], [22, 91], [64, 152], [51, 128]]; loss = 0.024463 low_pass_filter = 0.300
+Epoch 0: | | 36649/? [5:46:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 36650; scene = ['bdb981148d4f5ab9', '2c1299d0841d07dc', '58bd756bebf66e0c', 'ba4bc50f3e101be7', '724698b7bec91b99', '1cea80a14693313c', 'c86ef1cef33cd896', '587a0c714dc7d673', '6974a9dd2e36b330', 'eda4cb0549dfa429', 'fe989e36a3ecd67f', '83163ff782398d5c', '11e834a0d3abb838', '19348886c10f5918', '731df591d77c04b2', '4874c99d597805e0']; context = [[0, 47], [13, 72], [14, 63], [53, 132], [3, 73], [9, 73], [12, 94], [51, 109], [1, 59], [9, 78], [20, 100], [161, 221], [110, 188], [38, 108], [6, 74], [6, 77]]; loss = 0.031736 low_pass_filter = 0.300
+Epoch 0: | | 36659/? [5:47:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 36660; scene = ['78839d033c4c8311', '1835f16e1c0b9795', '61fb7783fff731c0', '8420ff3c64b30c99', '5689c9983b642392', '4b9f648daf5a382d', '1f1e2bbb82d871d6', '0d6a00923814af9b', '7d53ee1442576525', 'fbd2c20f5033d7d8', '542b331fc2699bc8', 'c2aac658a825f776', 'e790b5f2308d5617', '75b93ae19dd971a4', '11b07c1ff511c097', '11da16bd945c4985']; context = [[139, 216], [6, 55], [153, 225], [2, 67], [148, 235], [3, 50], [12, 65], [14, 71], [22, 95], [25, 86], [20, 79], [1, 68], [15, 91], [9, 58], [3, 77], [8, 92]]; loss = 0.026933 low_pass_filter = 0.300
+Epoch 0: | | 36669/? [5:47:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 36670; scene = ['d2b1ff06c77d6905', 'd2216c8ac4d59886', 'f575470bf119a425', 'c2368674dc54c1ab', 'bf0fbe377da9beed', 'ad596afee6a8aa9c', 'a130156902221ac9', 'c8fefdd251b6d90c', '780faae4b70c35f7', '1feb9ecdca23818f', 'af63bf3a8f7b4a47', 'ebce0e22003b1b97', 'a48bd89d4c750b98', '1d72161deb0221fc', '0a4f895d103b3f57', '06e4a604e5a0bfec']; context = [[25, 87], [2, 67], [38, 107], [18, 63], [2, 59], [24, 89], [20, 83], [2, 74], [0, 58], [99, 181], [4, 55], [4, 55], [20, 90], [4, 71], [1, 86], [7, 76]]; loss = 0.029075 low_pass_filter = 0.300
+Epoch 0: | | 36679/? [5:47:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 36680; scene = ['264e8509690b1ea2', '33a9d9c81ec1ec2c', '09ba39e41abef91d', '2d0c71e552c43161', '2a37114401aee862', 'b0c4b7fcc5684a5c', 'adf102437e4a8401', '02fa76b71dc91e15', '7ba606741aee99fb', '2707fa5c793a7104', '82b628605ff84a2f', '919b8fef118db525', '18019fe13bf3cd6a', '67d66f2f254fd064', 'ba93629df962b51e', '3ff503b996b7761c']; context = [[205, 257], [103, 154], [3, 51], [25, 98], [10, 62], [6, 93], [78, 127], [2, 66], [9, 77], [181, 257], [176, 225], [81, 150], [120, 167], [5, 76], [33, 104], [6, 58]]; loss = 0.023998 low_pass_filter = 0.300
+Epoch 0: | | 36689/? [5:47:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 36690; scene = ['ea57baab120b0c2c', 'e132b44474d468dc', '74a90325131a0f83', 'bf7037e18e37df78', '49b87c7703b467e8', 'e460c9372582b498', 'd04f3ef93efbec50', '028c46c1a1921e58', '0cff48e83dc21019', 'f0b4cb19f9a00462', '3233ec8590aafe91', 'ab647a72705fdc43', 'e591c53b0f37b4be', '6c18f759bea057a5', 'e3204b78384a33dc', '261297f3524d2ca9']; context = [[5, 77], [16, 91], [3, 76], [72, 153], [0, 49], [91, 170], [120, 169], [81, 166], [41, 106], [36, 118], [123, 201], [27, 81], [13, 64], [37, 104], [45, 104], [33, 87]]; loss = 0.025387 low_pass_filter = 0.300
+Epoch 0: | | 36699/? [5:47:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 36700; scene = ['c5f82f4f38798303', 'acec9d645a945437', 'f7ed39c1e39f16bf', 'c2d94b5ec555f7e4', 'a02096a091543cd0', 'cb61949c06bb9837', '956ba41bf98ba71f', 'eeaa456ff8d02ae5', '621f93416436589c', 'eb35c81a959ad80f', 'b68ef343d008a9c8', '8674ef1d1ac4e958', 'b444f2b85b396571', 'bc6074f65be70999', 'acd1915ee65bfe2e', 'ceb28bbb4f5926f1']; context = [[7, 62], [15, 67], [17, 72], [1, 85], [41, 86], [31, 94], [171, 235], [3, 52], [117, 196], [50, 137], [2, 70], [1, 67], [6, 62], [7, 71], [142, 191], [1, 89]]; loss = 0.024641 low_pass_filter = 0.300
+Epoch 0: | | 36709/? [5:47:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 36710; scene = ['2565fa91d5511cd6', '84d709a32b16ba1c', '7bb67f408e65d160', '936525536a825781', '9850055eb75d9e9c', 'd7bc9b74b15143c1', '9112a327c48c8a3b', '0858737cc9d1c3e0', '16e665bb9e65cfef', '1293621d66dc4273', '52b9e011c488d98b', 'fccb5d29b34d4dac', '31a5a2ade7b7d266', '6a61530613e80e63', '8eee7c848d368b0d', 'f163339747752b23']; context = [[19, 69], [52, 132], [27, 97], [20, 92], [46, 113], [5, 49], [6, 66], [6, 57], [12, 61], [79, 145], [10, 93], [38, 90], [27, 85], [0, 54], [6, 63], [50, 132]]; loss = 0.028979 low_pass_filter = 0.300
+Epoch 0: | | 36719/? [5:47:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 36720; scene = ['ed2f893289c0de6f', '763c31a2b567d48a', 'd976c018887ab6ab', '3590f2ced4698b87', '8c845b940aa8244c', '5dc65860a4286eb7', 'ca6809da1168fd68', '404bb1f5376788e6', '04bba4f3bbb51902', '35dbfb0c81dfb8cc', '03cb214b06fd0f55', '42f803e40f628732', '8abf692cb4b9e81d', '06dbddf5734b8f0b', '2f27dff4b798d63b', '631b6cde5968bda5']; context = [[113, 164], [143, 228], [49, 96], [26, 72], [1, 48], [19, 90], [46, 124], [71, 117], [15, 78], [17, 72], [78, 135], [9, 53], [11, 73], [17, 72], [60, 125], [29, 114]]; loss = 0.077261 low_pass_filter = 0.300
+Epoch 0: | | 36729/? [5:47:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 36730; scene = ['c260ecbf582b8dca', '63046d3f8570253d', '0b6805ec5715543f', '38810e0e102e497b', '0e4fabb9c06551de', 'c8ecb6197b43bccd', '12d05cbe03cd6e72', '1e864d30c35815fa', 'c5a0cbe5267c42b4', '173df9656624a093', '0a5e96ad4f6c2778', 'e6ebaea853d7c5da', '56eb73a8e5f30e59', '06c175f6ee37879e', '2fd71c52854362b6', '5c9395533cb818c5']; context = [[29, 98], [31, 83], [23, 89], [37, 103], [99, 160], [25, 97], [156, 229], [100, 166], [16, 84], [13, 78], [1, 76], [21, 98], [74, 136], [12, 76], [67, 150], [21, 74]]; loss = 0.065285 low_pass_filter = 0.300
+Epoch 0: | | 36739/? [5:47:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 36740; scene = ['1c76055afe762ded', '03a58fa83025c7c5', 'ddb6ccaebb0f6047', '8a749305c8a7a764', '57c55c3f86702375', '22d42ccb6f6b29c2', 'e9d559d905f9e293', '9071525e59b0f5da', '4af008f15e72d78a', '3b21a07ae5de8202', 'f1bbcd848a212362', '6e63b6440b922e9b', '42c42168f0fb01da', 'df8f7309507c4827', '3fa8b5d99c8e3897', '4de8a7529e541417']; context = [[31, 89], [2, 46], [4, 48], [5, 74], [3, 65], [2, 78], [5, 84], [61, 116], [9, 90], [30, 95], [1, 55], [11, 66], [4, 82], [4, 63], [0, 53], [0, 57]]; loss = 0.021845 low_pass_filter = 0.300
+Epoch 0: | | 36749/? [5:47:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 36750; scene = ['2c108a559dee1618', 'a4040de9d995b7de', 'dc41c0081c0366a6', '93c52643edbe225b', '567d1b17a4e9803d', 'b2ebdd6053a0a87a', 'feebda925b98fa36', '960ee8aa94f850d3', 'fb3a76eb4854d550', 'cba780f21d82bb4d', 'cb96d46222ae1739', '1ca8998e2fa0e976', '40e716deab059b5f', '98590b7649755555', 'd27be8b2dfd36faf', '6e09a9fd20857df0']; context = [[99, 169], [56, 128], [156, 219], [3, 57], [1, 69], [55, 99], [8, 68], [10, 84], [0, 68], [39, 89], [4, 54], [72, 118], [61, 109], [95, 182], [113, 162], [32, 111]]; loss = 0.025887 low_pass_filter = 0.300
+Epoch 0: | | 36759/? [5:47:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 36760; scene = ['a1d7341cb3041276', '17c7448bbbea7d36', 'b0ee71056841d17f', '511ba41160302742', 'ba8254c9d0eb8a6f', '903cfed1bcaee645', 'ff9a13a4122358c0', '4c6b1a86b7554be7', '8f0ecbead6dd6d79', 'de76e0fa6665b96a', 'b6602fca4a46af3c', 'fd39953d2d51d0ea', '3c7e6874294e63bb', '9b78476cb3a62f42', 'ae7d1a90900f2837', '296e4f16f7e5ea18']; context = [[44, 124], [33, 106], [79, 149], [5, 71], [13, 62], [2, 49], [152, 205], [1, 45], [39, 89], [11, 64], [71, 143], [12, 65], [22, 72], [98, 177], [18, 63], [128, 213]]; loss = 0.020431 low_pass_filter = 0.300
+Epoch 0: | | 36769/? [5:48:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 36770; scene = ['a55ae09e81f6e314', 'ef1bcff4381798e3', 'b77d95d2e93074c3', '465ce15174cd7c62', '05573b3db746e6ee', 'd74e7a16f611c1f6', 'df9c8d1b19c778e7', '5ec33374614cfe6e', '33ed58f9ad7d3603', 'a7e7897631d70008', 'a0f72cf44dc5854a', 'af4b3d516b5f85fc', 'f74325d6564a05b2', 'acbcac55198d0a7c', 'c8e2204b0fe7b68b', '00c3799b538b84e7']; context = [[12, 77], [3, 47], [128, 200], [15, 74], [38, 97], [11, 81], [5, 87], [5, 87], [59, 134], [40, 116], [12, 72], [28, 81], [1, 49], [5, 68], [2, 81], [35, 95]]; loss = 0.021459 low_pass_filter = 0.300
+Epoch 0: | | 36779/? [5:48:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000train step 36780; scene = ['7c28754cd17d1002', 'f0c6eca36ae4f4d0', '10bab84cee9b19b9', '7ea638aec22bec97', '01e6070d4ba4b31f', '25b0eca63679edf1', 'befe38a3528534de', '76e8408579a8def3', '5b28749eb4d7de82', '8006cf47aa5e25c5', 'cf64834c2de90394', '03bda04a27d82a5b', '7a42989e4f09f8bf', 'cb95b7cfa375a9ea', '0e65e508ee024fc2', '491964c59c131fc2']; context = [[14, 63], [11, 75], [16, 87], [104, 155], [11, 66], [1, 61], [1, 85], [32, 101], [11, 94], [75, 122], [27, 105], [167, 219], [0, 44], [107, 155], [16, 98], [44, 94]]; loss = 0.023838 low_pass_filter = 0.300
+Epoch 0: | | 36789/? [5:48:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 36790; scene = ['21ff785f89ad87cf', '0071f6d0b342c75f', 'e280e5d4cd514531', '9f0cb34a36fc4260', '435fe174264697a6', '7dc2da97423f053d', '3223635c785c9718', '22dd0c673b90e0f0', 'dd9bed08c152554c', '58adcbde01e5c437', '211ba20868a52208', '52914ada3d21bb9a', '3d74489372089c48', '57e607bc8cd5d233', 'dc41c0081c0366a6', '2c108a559dee1618']; context = [[66, 144], [14, 93], [11, 66], [146, 198], [40, 104], [55, 139], [10, 78], [19, 105], [3, 51], [0, 72], [20, 80], [72, 117], [1, 50], [17, 67], [128, 214], [6, 87]]; loss = 0.026453 low_pass_filter = 0.300
+Epoch 0: | | 36799/? [5:48:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 36800; scene = ['9d11c0c1b866f4ce', 'f026c8f1c91ab212', 'a8c67c7050608d71', 'dda981c3412b8d91', 'e1a1987653f0f30b', 'ebe5c67aecd20a4c', '420fcb4af19f957c', '7ac1e20b737a9707', '974c3242a9b9235b', '2028e7685d576a9f', '65fbdf6af1c554ee', '86d838e5d630a422', '6d30b36107c16f16', '59fa40dbaab9e111', '0f7bdf40fd6390b2', 'eb1767752a703a9d']; context = [[111, 180], [27, 93], [191, 246], [7, 59], [4, 61], [35, 102], [111, 157], [7, 67], [4, 65], [28, 109], [88, 167], [0, 73], [51, 108], [0, 45], [10, 96], [4, 49]]; loss = 0.022763 low_pass_filter = 0.300
+Epoch 0: | | 36809/? [5:48:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 36810; scene = ['8510b5c8030d39bc', 'f4b69d7fcab6b573', '03ccd89f68dc8276', '0029e9169a167c4f', 'f5ed66ecbc11f168', 'd8a7542a8fa1663e', '0b963fdcecb63487', '3bd7a1c47b1b1643', '54acac64824de66c', '67cf459986d45ea4', 'bc8622b3fb602185', 'bbf7ebb5b844c6b8', '3db875cdaf4aa738', 'e5bc10fc377c52e5', 'dbc16c7274385757', '81e928bad764a5aa']; context = [[2, 68], [152, 218], [93, 145], [43, 120], [10, 69], [68, 113], [66, 141], [35, 96], [5, 55], [7, 82], [32, 106], [0, 75], [60, 106], [1, 67], [13, 58], [104, 156]]; loss = 0.027280 low_pass_filter = 0.300
+Epoch 0: | | 36819/? [5:48:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 36820; scene = ['7585f42f06759997', 'd22fdf936632d63a', 'f6d2cb1ac5d594ab', 'e83e3c6a186d4b14', 'e7f549ceccf3bed6', '4d99f9c1332d1442', 'f78cef21cd9ec13d', '7e717082bedd01e8', 'f689b1467bdd3aaa', '2c6acb9cddb23fdc', '3cca155053b89326', 'a170e06e7999ca1e', 'd07aa4d1691ccf58', 'f1a0ce57e7071dac', 'df2ed5b12147a4b4', '1c82921d1dcd115f']; context = [[31, 104], [95, 147], [1, 64], [12, 86], [2, 46], [49, 95], [182, 242], [41, 95], [66, 149], [93, 170], [82, 146], [1, 66], [122, 192], [29, 82], [38, 104], [6, 52]]; loss = 0.023666 low_pass_filter = 0.300
+Epoch 0: | | 36829/? [5:48:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 36830; scene = ['5ae14b01a500682a', 'cf6fd75ffa40dc50', '4da36973de5227de', '9da1fa15af1eae3d', '0e0bf14b6085e811', '3dfdd773f0a7cf2b', '137580e9c0646c73', '5df1aef749bb19c5', '7c116fe539ee7847', '4d77ff1e09cd1158', '3094f248b96dfe8c', 'ef7aff8b7ac0037b', '7b268ad21c2b9512', '445d49fe41604eda', '952d3623a4b9befb', '87247e6e4d43fa1e']; context = [[21, 70], [158, 204], [7, 86], [85, 141], [1, 69], [8, 76], [6, 56], [107, 183], [26, 94], [0, 61], [27, 93], [0, 46], [19, 67], [28, 97], [5, 93], [49, 114]]; loss = 0.024792 low_pass_filter = 0.300
+Epoch 0: | | 36839/? [5:48:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 36840; scene = ['dad5ebff7c618bf2', '64b2c628b9b981e0', 'dae6b61b21e15ee9', 'e3ed82547a822c3c', 'ee81611880e3c24c', '2f18ebd8a3515195', '152d43c01efbc620', 'bfb4ec8110f16cd5', '6da09db5c8cd9958', '9f66227d73e22560', '54bf70a9a65b6e38', 'ed22b05537df9f59', 'acd59fc1c1876dfe', 'd86e0bf35d374da4', '028c46c1a1921e58', 'f0b4cb19f9a00462']; context = [[8, 71], [42, 112], [32, 113], [160, 241], [14, 102], [10, 59], [198, 274], [13, 71], [0, 46], [84, 169], [90, 163], [24, 76], [6, 54], [44, 108], [189, 252], [9, 81]]; loss = 0.021212 low_pass_filter = 0.300
+Epoch 0: | | 36849/? [5:48:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 36850; scene = ['1257d34372ddf7a1', 'a08ff72bb7ee8769', '8b43ca18bba45f5f', '15530e3a36759071', '60169b49df5a7100', '97975582843a7447', '859ab2c13678fbc4', '70f3c97d083b73b6', '06779b91ed31eaf1', '0ca3f423c85f9681', 'e35372245c208a65', 'e1d1d5cffaeaa083', '66c10f6fa1fc6012', '8b420b4f59fb2756', 'fe79a53c24c479b8', '08f41adb663ab4f4']; context = [[24, 78], [14, 87], [41, 104], [149, 231], [13, 69], [43, 113], [96, 180], [1, 59], [10, 55], [22, 79], [2, 65], [25, 88], [113, 189], [3, 76], [0, 48], [105, 170]]; loss = 0.024480 low_pass_filter = 0.300
+Epoch 0: | | 36859/? [5:48:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 36860; scene = ['2ca62bc0dc91e75c', 'fac4848086b213ef', '3410d65a1b870eb7', 'dab2cccc3ef52e10', 'de7427712778e01d', 'f98e2b471d6f4ec3', 'be4684c5871e437b', 'ee3d254e6e249416', '93e4362f1b5a692f', '5cd3756227c3a8c9', '06323af770d29e99', 'a1c4f2db52b4051c', '42542d645678fd04', '05afb96fc56cd180', '9f330b05e7b1955a', 'f55c732c8821fd1c']; context = [[2, 59], [69, 149], [1, 58], [0, 44], [27, 84], [75, 131], [5, 66], [173, 240], [105, 178], [76, 152], [0, 87], [0, 88], [19, 84], [13, 66], [1, 55], [36, 101]]; loss = 0.029616 low_pass_filter = 0.300
+Epoch 0: | | 36869/? [5:49:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 36870; scene = ['d1a233764dfafcf4', '5c56b0f05a358572', '7f4353922e24e719', '7515288e20354f55', 'a160e085a31100e7', 'ca65a604c0f00319', '6b944937986e8221', 'f9357b87fc3e1578', 'a2a821ecee305c73', '86af7cd006b63f11', 'd7ca8401b3a2387b', '3dfdc1b6c7b658e3', '628d53c4fa7f75e6', '80b04e7c5d21facf', '5b3422e1ad0e3f86', '02ae95aab1b4932e']; context = [[12, 68], [1, 51], [73, 136], [46, 101], [73, 144], [32, 119], [24, 75], [69, 124], [138, 217], [69, 148], [11, 57], [45, 130], [30, 107], [18, 80], [37, 108], [71, 158]]; loss = 0.036934 low_pass_filter = 0.300
+Epoch 0: | | 36879/? [5:49:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 36880; scene = ['ddbfd5840e4c41f1', 'b1c40d25d2e64f8c', '7022414e18445c17', '20b0f500cd4d194c', '0f508c88592db2c2', '5774a89a2d5cd670', '2dbc65b7447a15c1', 'ccbdd701280e21fa', 'ac70e9ecbb9d1673', 'ef394996c3b4b964', '3157f03f26187e7e', '544a78b22bc4b00c', '62705f8c22b2c80e', '0f334f40ba81525d', 'd0c12240702616a7', '79dca8946db32bbf']; context = [[118, 169], [25, 89], [90, 150], [21, 66], [122, 183], [75, 132], [21, 68], [26, 81], [23, 83], [161, 246], [36, 94], [23, 105], [95, 172], [7, 58], [6, 86], [14, 90]]; loss = 0.025818 low_pass_filter = 0.300
+Epoch 0: | | 36889/? [5:49:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 36890; scene = ['9aaff40d2f0278f0', 'f08a49f7e35dd20c', '0b61e5cda871bfcb', '54da02e4dd714f48', '40aa0220cc39a914', 'becfa3668f1ee64e', '3b7c1da7ab8f7c7f', 'a37504e5a333ec20', '2077837c28470a26', 'f483eb112204d039', '3f575f7539ab6976', 'c7dec949f5729c8c', 'adc4da860adb345b', '01013ae23fd56cf6', '7fe98c1f01f1ef82', '79f1ced3ae31f942']; context = [[5, 70], [63, 140], [12, 83], [31, 107], [0, 61], [29, 102], [1, 81], [6, 94], [17, 80], [81, 155], [9, 88], [78, 133], [1, 84], [19, 85], [10, 80], [27, 88]]; loss = 0.030666 low_pass_filter = 0.300
+Epoch 0: | | 36899/? [5:49:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 36900; scene = ['97d48083a9c554ef', '29afe36e4ba597f5', '1ccc8946d683d79c', '9bae213a2e0667da', 'bc29873beb100836', '33bf51a57dd21baf', '1dc2ebcd887c71e6', 'af6d66e39934570d', 'f8df6b5b731213be', '303d1041d98346d2', '038c23fe8ac608d2', 'b4ffacdfb98be7ce', '3be7d7aca547bc9c', '9fa0ffd6f3c3c219', '00e3a0aea2fcdff6', '976cdb75e3f78c9b']; context = [[5, 64], [6, 58], [17, 92], [8, 94], [32, 81], [3, 50], [6, 93], [0, 49], [3, 66], [16, 86], [14, 98], [4, 57], [119, 206], [2, 67], [43, 130], [16, 86]]; loss = 0.025839 low_pass_filter = 0.300
+Epoch 0: | | 36909/? [5:49:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 36910; scene = ['ae5d2c4b438a407b', 'ebbf8fa5e83a4124', '771b9ab514763b57', 'adf93d431ae2464d', '1979410f58bcec2f', '0b7bb37506071244', 'fba3ed30e62af988', 'af5a2cdd7f1dc3c4', '26b2c1728be65cbf', '914f828dc7631ca7', '8b7c741e63766c48', '7b10966e85164c25', 'a280c9c34af3cf3d', '7d7759b7cb06c9a3', 'e5a0aa552fa5c442', '41cbd594e78532c4']; context = [[12, 82], [4, 73], [16, 71], [13, 63], [49, 103], [12, 99], [25, 103], [102, 159], [11, 65], [76, 127], [1, 50], [45, 93], [4, 82], [4, 62], [14, 84], [5, 68]]; loss = 0.023649 low_pass_filter = 0.300
+Epoch 0: | | 36919/? [5:49:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 36920; scene = ['583048ed25adad4f', '1dd9a0ed267383c0', '2abadda3f12274a2', '6726f4b1be3b02e0', '09c7171529d82a2a', '2b08d88dc7851fcd', '254bab680a316f9b', '6be724a70229bc17', '939a8aa139d55a9a', '1545821f510802e7', '8604fb955c771d23', 'dcf621e6a39c58b0', '81ee97f3eb44b898', 'd8cc6b23c3a41c4b', 'b9e0629edf084b12', '174258c0129fc8b5']; context = [[47, 125], [1, 50], [11, 76], [0, 44], [4, 63], [46, 99], [2, 74], [11, 90], [11, 66], [2, 49], [36, 85], [42, 115], [13, 73], [3, 71], [27, 92], [208, 268]]; loss = 0.023933 low_pass_filter = 0.300
+Epoch 0: | | 36929/? [5:49:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 36930; scene = ['aa20915f7a4f4154', '72b929edfd147876', '6aa7eac0ee8724c7', '28e1889569b206aa', '23c1ccdbb82ee29c', '9d4bb3c6783e57a8', 'dd8f995702591ba7', '76da738b80b894c6', 'db537420efada436', '909da0bab82b1291', '0b33181143dd3303', '1899f9503591706a', '0935b1ed5367813c', '7b2378ebd9c53c89', 'dfd7ac5b3120d4d4', '2b9e7a6c7c3cbacc']; context = [[55, 100], [4, 79], [6, 79], [6, 86], [92, 155], [7, 95], [6, 57], [160, 248], [43, 107], [20, 68], [88, 174], [88, 144], [32, 108], [30, 111], [28, 104], [16, 65]]; loss = 0.025555 low_pass_filter = 0.300
+Epoch 0: | | 36939/? [5:49:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 36940; scene = ['9422ae076b340dfb', '470048cb4a7dd828', 'dd5b36ad4d2b02c3', '112e8138ff0b1d32', '0c00e828c7918a6d', '1dc3ddc37434374d', '391fbd8d9a5d869a', '72041f589d07cd7e', '5a15bfa3cf370b32', '4528921befeba748', '9ffccde4a0d78f2e', '8830b20432cd32ff', '9531bbcacc25b355', '5932891d3ec96fc0', '79fa0adb026040fb', '4b670fd16f86b860']; context = [[105, 165], [0, 71], [70, 152], [0, 86], [1, 49], [0, 60], [225, 276], [4, 90], [3, 48], [40, 118], [25, 103], [83, 171], [45, 124], [75, 155], [18, 70], [77, 137]]; loss = 0.031070 low_pass_filter = 0.300
+Epoch 0: | | 36949/? [5:49:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 36950; scene = ['55706f538594e6cd', '76c2816ceb28ae2d', 'de01308c20eca844', '2a4714c03e4c9d50', '8db9ff38e05c3ffa', '23f56c968e90b308', '598eb9b46185951c', 'a34da6e33030e973', '31c9c7c73f642cf7', 'ad1e3d2c65e67172', 'b10e2cfbec255d44', 'e8ce258cf5f7231d', 'dccef2390d0b6851', 'ef3467589fd3709e', 'd7fd0247a853f44b', '60531462424bd617']; context = [[42, 89], [8, 69], [2, 46], [3, 91], [1, 46], [4, 63], [131, 181], [9, 95], [16, 64], [152, 220], [0, 46], [7, 59], [1, 89], [9, 64], [84, 168], [3, 91]]; loss = 0.025781 low_pass_filter = 0.300
+Epoch 0: | | 36959/? [5:49:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 36960; scene = ['971dca8bfc785d6a', 'd251cc493cf50645', 'f6150b6900398acf', 'cdeff74401a72900', 'b0b09f51a1cb4758', 'fbdfd869461c1531', '7bb8d358ee6c9c94', 'f91fc5f7816a4cb5', 'd71c2d50ee22912b', 'fc4a6c4868d6ec25', 'f1ef7c1adc5ec36d', '943438bbbc464d68', '79c4a5514b4df522', '57798145cad91eeb', 'ef9870cbc94fe475', 'fe2eddcb5f8419b0']; context = [[17, 95], [0, 47], [26, 73], [193, 245], [14, 94], [1, 55], [38, 92], [11, 61], [18, 104], [121, 186], [18, 97], [2, 64], [82, 136], [4, 66], [148, 224], [5, 94]]; loss = 0.048592 low_pass_filter = 0.300
+Epoch 0: | | 36969/? [5:49:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 36970; scene = ['8b1ff63cc4865447', 'e0b6e08936e4eaa3', 'a5ba0427831f1af5', '11751475b329cb75', '84bc0c3aee58171b', 'b955173d519e9fa5', 'dd2e4bd9af9c8fc7', '20ccfe317b497829', '7ebf367cfbc52593', 'ad5885cdf02ba3aa', 'f98504942ac68c3f', '6f9c7ad031578758', 'e9a018b75e1c0ee9', '36348ea97b54d0dc', 'bc5c89ccb8b60ee6', '1916ec563ca4d9b6']; context = [[88, 148], [74, 159], [140, 227], [142, 213], [15, 94], [0, 44], [5, 87], [18, 88], [11, 78], [13, 74], [96, 151], [103, 158], [37, 87], [0, 44], [11, 58], [4, 77]]; loss = 0.026627 low_pass_filter = 0.300
+Epoch 0: | | 36979/? [5:50:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 36980; scene = ['0635a3619c622723', '094bcdb1f7a09811', 'ed53bf7b8e6dc9d1', '5b6d2302ce6b01fe', 'a9904976adc1707a', '873e47aefa88e8cc', '3bcd60aa10534c91', '42c80ebf2f08c5a1', '8e043c9f1c809d9f', '98302f005c2b935a', '12fee7f1978d52f1', '075eae6b9afc3d7d', 'c2838c7e3abcd62f', '5c51f952f16de104', 'bc825dce25ce4f41', '4acf06353e51ea6d']; context = [[6, 76], [10, 60], [47, 118], [0, 51], [5, 80], [0, 67], [180, 248], [150, 216], [9, 69], [9, 95], [27, 102], [0, 71], [13, 80], [4, 50], [26, 86], [54, 134]]; loss = 0.048637 low_pass_filter = 0.300
+Epoch 0: | | 36989/? [5:50:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 36990; scene = ['d2fa1d6b21f973f7', 'bfffd931c07dfe33', '72c1964616487513', 'ac38d17472a8926d', 'ce8a47555d5628f0', '3908eea16117a6c9', '362f4c367cc1f9c2', '0a04715dddb019a5', '9f5c73121bfb63bc', '6eba2ce3df793175', '5deba6c5d5b62d79', '892b882565bf1f70', 'c9db6f67fd60bf44', 'f2ae5833a73ab66e', 'ede2997f4bca7dbe', '1b1ae7b669835036']; context = [[30, 89], [24, 105], [102, 158], [5, 69], [26, 71], [13, 78], [6, 60], [74, 142], [189, 258], [141, 225], [62, 151], [98, 158], [139, 197], [99, 175], [121, 180], [26, 95]]; loss = 0.031369 low_pass_filter = 0.300
+Epoch 0: | | 36999/? [5:50:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 37000; scene = ['38bca052a0bd63ea', 'ffc8d0b26207836b', 'e29e594e3e97c9c6', '32cc836f91364cea', 'beed386ec78be86d', 'b8b663fa868cf351', '24460889a8c443ff', 'd6acf1a3ce5c4987', 'b3b4c7f9d5867f2c', '9487c0d062e3b8e5', '26d3d09a9cfd563a', '863466beea29e2c8', 'd56cf1bb0dfd5d92', '3ff92767e37eb62f', '360fb277b32a0fea', 'e0c06d9954d16a41']; context = [[9, 72], [36, 103], [8, 75], [18, 98], [3, 83], [3, 92], [20, 75], [91, 173], [2, 75], [7, 68], [7, 82], [140, 210], [45, 113], [75, 143], [112, 165], [2, 48]]; loss = 0.023923 low_pass_filter = 0.300
+Epoch 0: | | 37000/? [5:50:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000validation step 37000; scene = ['86b75053e13f6172']; context = [[15, 59]]
+Epoch 0: | | 37009/? [5:50:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 37010; scene = ['ab8e85f5557ce4a3', '886a2cd1ef72b491', '1d93a3fb8b07028b', 'd0342267434bde9b', '5dbe8c5a7cd369f3', 'cac84a71e48219aa', '4d47923e78e568e4', 'fc2059a30fa154e4', 'c2de1d81f1dbb6fb', '4c48be787e8731b3', 'd026c1b01c69d9fd', 'a0468bcde5680b1d', '32df4544077b104b', 'e14b9241bcdb4d3e', '0bc21d918e81588f', '5606451b2952b4d6']; context = [[0, 77], [164, 230], [18, 89], [21, 106], [16, 89], [98, 164], [18, 92], [11, 62], [20, 97], [35, 116], [77, 126], [6, 81], [7, 82], [34, 93], [5, 77], [3, 51]]; loss = 0.067140 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 37019/? [5:50:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 37020; scene = ['5e33a4da5ecddaa8', '839a7dc465babb6a', '7944997c5cc8d4a3', '10a912a578eab6eb', 'a4e1c1a1fd21c031', '1e2db9c385736612', 'c72e5c5b93465fd9', '156a99bdda94ab15', 'd9d387021859984c', '9182eb6535116035', '07d45f8aec3ef9d0', '6c588b310610da28', '78a813c1cdfa752c', 'e79b8bbf1bdefca4', '39a56aa5e7a8b4e4', '4f515c197a061a67']; context = [[111, 198], [49, 111], [105, 154], [10, 96], [11, 95], [32, 120], [124, 208], [36, 86], [16, 82], [14, 99], [92, 137], [1, 79], [15, 99], [136, 203], [6, 56], [13, 93]]; loss = 0.025778 low_pass_filter = 0.300
+Epoch 0: | | 37029/? [5:50:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 37030; scene = ['4c32929b9bde96fd', '949a7f0d7878749b', 'fd1262efb99b8fa0', 'f5ea225f5c7fc039', '507b9f1675988055', 'c53eb8ed399c3598', 'bda51613b8944e3a', '08c6d6ab90e6b86b', 'd1a6d6a046f37dbe', '79632305e38f4e61', 'e313fc42cfe43a81', 'd67ff3b1493cf038', '931437c7f8178635', '5105fedd23e13f92', '15f89ff3e4a8ddf3', 'fa3c714f9feb0ca1']; context = [[99, 173], [45, 104], [7, 62], [42, 121], [5, 53], [63, 138], [0, 49], [0, 50], [8, 54], [58, 113], [17, 63], [143, 217], [65, 119], [154, 230], [38, 107], [54, 99]]; loss = 0.028683 low_pass_filter = 0.300
+Epoch 0: | | 37039/? [5:50:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 37040; scene = ['bd0f82f93d5693ca', '52aa7676145d5273', '478386221245bac9', 'c49e7882e04566c0', 'fbeec1139406c2c0', '0d326464d7cb32e1', '73c59e5d16858a41', 'd12502ac93ae80d5', 'eead71c22d5913d7', 'd013dfb68f701a1a', 'a24365e23632fdec', '4436792afd7385fb', '9a7b5d280d58af92', '2cc2aeefc2ed77d1', 'bb3d43e57b5dff80', '08e3a573008a2c6b']; context = [[178, 228], [60, 146], [51, 107], [2, 64], [4, 69], [68, 155], [1, 57], [41, 103], [11, 60], [39, 90], [11, 82], [114, 166], [8, 62], [121, 183], [38, 126], [4, 79]]; loss = 0.028104 low_pass_filter = 0.300
+Epoch 0: | | 37049/? [5:50:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 37050; scene = ['211274b1f1c0b2f1', '9e14e353fb17c4e1', '93f798863c448d60', '774b295adf0ff0cd', 'e692180a42b33409', '99165d98e0be439a', 'b3695e4fadc9118b', 'fa14af07fc50d2ce', 'e0b4d5d763af7191', '4fc0da76742961cd', '7d4f88d897aac9e1', 'b5228b26c99db999', 'ba7ccf57b2511a90', '629506e3f6b8d7ab', '66e50acd846b2cd1', '111972c5ff606fed']; context = [[7, 56], [4, 71], [53, 117], [122, 191], [5, 85], [3, 54], [0, 71], [20, 103], [29, 78], [17, 80], [5, 81], [23, 70], [1, 59], [3, 69], [172, 226], [127, 190]]; loss = 0.024894 low_pass_filter = 0.300
+Epoch 0: | | 37059/? [5:50:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 37060; scene = ['ec719970f17f2eed', 'b7b258cdbcf3f630', '7111ae9755f6fbb2', 'b6d22d6bd307cc90', 'ce31e33f156aeec5', 'cdcc58497fc89b85', '756a0a00121f53d3', '824c0e56d62f7342', '3f23fde9f471891d', '03dff49783e3e29a', '4a046dacba4318a9', 'cd30b082ae6fc960', '89eda44370699ae0', 'b7e0e4f979fd485f', '38d7f9658cec02ab', '28cb5b04aeb2ffcb']; context = [[6, 84], [16, 75], [47, 120], [105, 178], [32, 88], [6, 53], [11, 84], [90, 160], [23, 73], [28, 98], [0, 78], [86, 162], [79, 147], [157, 243], [5, 69], [59, 120]]; loss = 0.096602 low_pass_filter = 0.300
+Epoch 0: | | 37069/? [5:50:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 37070; scene = ['2595d3a0144c9949', 'ea8d853b968e25b1', '8b9a04c6ae39cd63', '14467edbc6b3c25b', '1808b1a7f1c93d66', '80bdd8d93d4fb6be', '57ee1cea0284514f', '09f01ea6da02863d', '296f8280d8af193c', 'bd695f52931a2fc2', 'b0c532bf94eeb726', '56453c8b912ad0f8', 'ab04798f9ddd9aa9', '71222ce1f9bca7a6', 'e33d4bd8288fc69e', '064259812e015154']; context = [[10, 63], [5, 65], [33, 114], [194, 271], [38, 109], [11, 81], [11, 68], [2, 68], [21, 79], [0, 70], [170, 216], [11, 65], [78, 155], [0, 58], [135, 209], [39, 90]]; loss = 0.026335 low_pass_filter = 0.300
+Epoch 0: | | 37079/? [5:51:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 37080; scene = ['1b7697fd8dfb8717', '6e2c73ab63bf5e87', '081919bf31bf790c', 'bd242939c1449d8e', 'baebb7f6b21b1b2d', 'c85ef98584c441bc', '07a7501a512358e1', 'ec56ecaa7be14db0', '74aeb62f3246d73d', 'b88bb5a497a3359c', '4558a4e86660273a', 'd963397c195c1af9', '676a62bb7947d66c', '58cadab07998fe5f', '7514f3b17589785b', '5b8976bf2748f77c']; context = [[23, 85], [187, 231], [51, 118], [111, 172], [53, 101], [13, 60], [35, 86], [132, 202], [62, 123], [30, 112], [67, 128], [3, 47], [22, 76], [7, 67], [0, 73], [179, 229]]; loss = 0.025544 low_pass_filter = 0.300
+Epoch 0: | | 37089/? [5:51:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 37090; scene = ['ab0df7dfba225813', 'cf5a9d93df10f156', '6cb26abcdbe1fb40', 'a92a2144824ec5d0', 'bb9481478f3f6d69', 'e0473d7d656f6e17', '69c1746d1fc7c807', 'ac0a5fb83c20516f', 'fd2c850e3620104a', 'c577c31302675f04', 'f818a2808c5d168c', '55ff5f5024b9f532', '60b23fcb19992892', 'daf3b5445dda23fd', 'b3aa335a5095564b', 'e485f3bd0dd46f04']; context = [[5, 73], [18, 98], [41, 125], [27, 114], [128, 213], [1, 66], [124, 187], [126, 184], [173, 242], [20, 105], [16, 62], [6, 58], [16, 66], [0, 69], [4, 53], [91, 169]]; loss = 0.091448 low_pass_filter = 0.300
+Epoch 0: | | 37099/? [5:51:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 37100; scene = ['a7bfe4e8a677da50', '513ae69355efb81f', 'd0832724bf5ee75a', 'ca21a012336de65e', '0bf19acfa975633f', '5498b21b7b980c1f', '85ae1f079da846de', '1b89b77599ce54a9', 'ac479806829623aa', '6caaca2888bf21b0', 'd716e55e1b3aa92b', '6859171f9cb5eb08', 'c6ffd5261f0f75b8', 'cd07ac1bbdb3d7aa', '27a48b30775e1aba', '3d9dd3d10965c92c']; context = [[42, 128], [61, 109], [30, 85], [0, 75], [113, 196], [0, 80], [6, 75], [170, 232], [11, 96], [75, 148], [52, 98], [15, 77], [1, 82], [33, 122], [97, 154], [18, 103]]; loss = 0.031505 low_pass_filter = 0.300
+Epoch 0: | | 37109/? [5:51:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 37110; scene = ['8da7141e1cd38738', '201f15a82f1a6420', '4af1f17f12d4e92b', '318d20fd78d7b165', 'b856c67d256f6953', 'edcaf729239e0b9a', '359ef693ed153386', '84c7bdecb993937c', '1751cf595b735b68', 'aa657e100b8527f7', '319060dd0c19e45f', '8c9a5a33a9196f8b', 'a89f8c7fe80f98fe', 'e759c9dbca6a0818', '22858483b5c3a9e6', 'f70ad09abb9f3df7']; context = [[19, 103], [16, 100], [3, 66], [18, 91], [39, 128], [7, 64], [3, 89], [1, 66], [14, 59], [7, 73], [7, 70], [35, 79], [15, 91], [24, 90], [61, 116], [0, 74]]; loss = 0.027001 low_pass_filter = 0.300
+Epoch 0: | | 37119/? [5:51:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 37120; scene = ['9f7fb6a4d5bc5b5d', '598405d8c5ccc93e', '7c50a3e751ebfa5f', '6591368967629a3d', '5c4fb0add49cbd58', 'dd8e8d5c7c7f2e8a', '8aa54d54952c746c', 'c52cef7d7890369e', '316efce0bff7c388', 'ffc2f67f24e55466', '7f3900d49cac35a1', '59c434434c6ef3fd', '42a2a2c546bb8d24', '8465e83049a2db4e', '2d3a3b950f394d5b', '56872ea2e441a7d0']; context = [[12, 71], [5, 82], [160, 210], [152, 197], [0, 75], [28, 114], [9, 78], [149, 193], [217, 262], [67, 132], [16, 64], [4, 72], [20, 101], [3, 73], [16, 82], [1, 79]]; loss = 0.029765 low_pass_filter = 0.300
+Epoch 0: | | 37129/? [5:51:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 37130; scene = ['df7e0cf9a0b8c0b8', '5aa82cb1d8d4832c', '8e2fd6cbc2bad37d', '589c32ddba36eada', 'ef056d57c9f47156', 'bfa4146967e24f8e', '30a0871ca9bf7133', '7be76bec29cf8f3c', '57fea3ba60e21f7b', '293cd4ea27b9d506', '4c206a668c76614a', 'c7844a02eecf3a20', 'cbf08a650761cb10', 'd3e34d281b05cfbd', 'b5eaddf4ac5c6f62', '4b1ee57bdbda4b1f']; context = [[15, 65], [2, 80], [0, 63], [97, 151], [35, 87], [7, 62], [110, 170], [71, 119], [47, 113], [20, 80], [27, 73], [0, 71], [19, 66], [3, 90], [41, 111], [4, 63]]; loss = 0.067976 low_pass_filter = 0.300
+Epoch 0: | | 37139/? [5:51:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 37140; scene = ['47c9630112006011', '4291eb01c594fcb2', '77d1f14fbdc4c65e', 'f6aed65bf9ebd5a9', 'e00923b588e1ca61', '4760844c0baec9fb', 'ebb69f1382aeeaeb', '262491e354ac8385', 'f51801efa09d2209', 'a40883cee3d7f428', 'ecbd583dbf8f0b2c', 'b5e2fc1757ca5400', '855f360a6975676d', 'bf0d03380474d38a', 'd9ba9b4f5fedb65a', 'cee7db39524bd776']; context = [[13, 60], [8, 79], [65, 153], [5, 59], [160, 214], [67, 145], [1, 58], [24, 82], [0, 44], [16, 72], [60, 105], [90, 153], [12, 82], [6, 95], [218, 277], [0, 74]]; loss = 0.032633 low_pass_filter = 0.300
+Epoch 0: | | 37149/? [5:51:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 37150; scene = ['6f3e34c8d2f3568c', 'eaf53403cc8fc00f', 'cd2a8b442f09b208', '0db9e62369719bc9', '213f00b1b81a1208', 'ad94a851400c5736', 'f40dcee8e5d60508', '38af842287d226de', 'a8cb13d02b8d08a7', 'fda5437ee76b48fd', '123647e02b47df3d', 'bd182d46b53efd66', '5bbaacbbd512b476', '8c9a1857ae2de88f', '59533641941829e5', 'c02e332cd10f31a9']; context = [[10, 55], [32, 84], [38, 93], [4, 50], [24, 68], [45, 107], [89, 169], [48, 125], [64, 135], [25, 90], [33, 87], [108, 171], [62, 129], [9, 87], [111, 197], [41, 127]]; loss = 0.112275 low_pass_filter = 0.300
+Epoch 0: | | 37159/? [5:51:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 37160; scene = ['0dcb0cad41a1f81b', 'e396c06362a9960a', 'e4e3c9b05269ee77', 'cfdced6ed0dc318d', '0e61cbca4ffb2d66', '054936f3b9535400', 'c004cae33c43f3c4', '5e7cc1952a622fc7', '373f36d9a38e0ffb', '62a41152e0103736', '934abcda4ab6700a', 'db95ce78ff912a33', 'f29abb44460d0755', '118a661d65b4f172', '2e9c930a8dd5726d', 'f6dfd1ff883e31a0']; context = [[6, 64], [191, 273], [78, 147], [102, 151], [3, 64], [25, 89], [198, 263], [1, 87], [6, 66], [22, 78], [6, 83], [1, 55], [1, 65], [3, 58], [1, 85], [4, 56]]; loss = 0.028577 low_pass_filter = 0.300
+Epoch 0: | | 37169/? [5:51:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 37170; scene = ['7bddba236aa29cb9', 'b9ec2a6854380d1e', 'dc87934d7f34745e', '48484bc80ab3887e', 'ebefd3d3a8cdee66', 'a17f771d765f1b3c', 'ff0c0d8c4fba54e0', 'f6240fed8b5ff570', '96d49f97fbf3c97f', '3f293c7a896e1d7b', 'd63e656427d56186', '4d840c475e5a8db1', '44e5847e0e0166c6', '6ff2ca5ecd3a0add', 'e9efe0fcc7a09cba', '419b1c98c2bddfc4']; context = [[25, 97], [51, 104], [84, 167], [74, 119], [12, 87], [168, 255], [30, 93], [13, 66], [14, 68], [8, 64], [113, 191], [51, 133], [149, 209], [51, 139], [72, 117], [65, 132]]; loss = 0.028829 low_pass_filter = 0.300
+Epoch 0: | | 37179/? [5:51:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 37180; scene = ['0c097b18870797b5', 'd516f4060df38c96', 'f8c179a0d6a215d6', '5ba48fe9cd340bbc', 'd9de6afff609db5e', '9a539a8e149d73fe', 'b887ad2fba113b46', 'f2c3c7f148852db3', 'a6f084400351a290', '42a56723df581f2b', '300fc711948c8e17', '46a2fb45a3fca41d', '4383610b9ef9bf1b', '690befa9a6f87dc9', '7f77277a848125f9', '79eced61f47a2a03']; context = [[90, 143], [6, 64], [1, 65], [4, 93], [5, 94], [10, 99], [4, 53], [17, 96], [70, 128], [8, 65], [5, 61], [19, 72], [18, 97], [1, 60], [17, 106], [14, 67]]; loss = 0.026025 low_pass_filter = 0.300
+Epoch 0: | | 37189/? [5:52:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 37190; scene = ['d77aac464bf67157', '237ba5495c4df4e5', 'e703ae014c23f104', 'bca840550b078409', '52c03029aae94747', 'f65d66cfd92cf77d', 'bb2134d7b8ce27e1', 'cd2224dc5cf1aeba', '9fee40ca582e58d6', '14bb80a024efa7f7', 'e0a3d93c32415baf', '22dbf576eb8db504', '10f90d9c4a367c03', 'a5b6cacfd48c1a22', '3cb91e14821b7e05', 'f350794b2c5ff77d']; context = [[0, 58], [2, 57], [14, 81], [50, 100], [128, 176], [22, 110], [13, 87], [211, 275], [11, 84], [2, 75], [19, 69], [2, 77], [0, 75], [13, 80], [0, 61], [10, 94]]; loss = 0.034345 low_pass_filter = 0.300
+Epoch 0: | | 37199/? [5:52:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 37200; scene = ['62c2edc48b267fd5', '46feebcb8a06d358', '3d2c547f7bec4c73', 'b8b0b7d8a4ed6978', '0377dda9f7523d84', '01789229a85a4516', '6474d8cacc2f28fe', 'a3e1454634601a50', 'decd051e0c40f8ec', '965ec1449069644b', 'ddbd515bc8c98936', '0d72c563766e5a38', 'bae2ba40b2703313', '2dc680ab9533912d', '465249a4ce4bef29', '5a56c4b9687b88c9']; context = [[15, 71], [80, 126], [47, 100], [3, 73], [20, 85], [7, 54], [111, 158], [7, 62], [0, 57], [12, 72], [40, 128], [64, 141], [46, 135], [26, 73], [16, 68], [0, 83]]; loss = 0.024942 low_pass_filter = 0.300
+Epoch 0: | | 37209/? [5:52:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 37210; scene = ['cf05de0bba53f3ba', 'd7eff3b592d43b5d', 'd6101105e2422849', '2763529750c23b9c', '4244bee7470b8df7', 'be6ef75da859e939', 'a03d3ae93a3b562c', 'a610a0429a65252f', '4dfcbe2e024d6f87', '785a6f3ff2cb836b', 'b3a1c03be2a34013', '384fbfea1a24cc4b', '2fd88165c45d4bae', '14a5a9be7c637dfd', '05927b7094d0cf92', '0c808be8b8b4cf9e']; context = [[201, 245], [3, 77], [24, 87], [117, 171], [0, 50], [6, 87], [1, 58], [0, 70], [5, 56], [55, 105], [0, 66], [5, 91], [27, 72], [17, 72], [75, 134], [10, 69]]; loss = 0.022799 low_pass_filter = 0.300
+Epoch 0: | | 37219/? [5:52:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 37220; scene = ['6a0c40520833351c', 'b2910c36ee64cd20', '59cc7e5e11910e19', 'd3741e9507f27e73', '2a4a3612a4931819', 'c8cc2a7aea1ae283', 'e899eb532d5b5af7', '167e9f7f27f4606b', '24d6f8b7af5af475', 'ce8dd26daacf2d00', '6306786de63f1537', '7df9941d67654aac', 'cf44c57a316bb7df', '4c212add50c782fc', '3fba1e83df500eed', '82d3d6fc3f681f9d']; context = [[141, 208], [10, 79], [0, 72], [143, 187], [65, 122], [181, 239], [23, 92], [188, 277], [12, 62], [2, 49], [25, 92], [14, 63], [1, 74], [186, 270], [125, 187], [36, 114]]; loss = 0.031937 low_pass_filter = 0.300
+Epoch 0: | | 37229/? [5:52:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 37230; scene = ['e49c34ff7ed32c8a', '3f99cb9bcafde8fe', 'ecc8438134a2638d', 'ade5d1325a93bcd0', '39affc04f4fec373', 'e0458dafcf2e0e90', 'acef2a117f896650', '22883477ff44a8d8', '2ae25c1ef4ee35e7', 'c837254d87560e25', '399a3e5cb7ce3429', '2c69823bf64bcfa1', '01cddbb85517cdc8', 'b9e08c2b547d9c86', 'fd92c868ebb1c008', '57f1c3af485f1a5c']; context = [[1, 77], [118, 173], [7, 67], [14, 83], [9, 97], [3, 92], [2, 52], [17, 106], [17, 71], [78, 159], [80, 147], [26, 88], [8, 56], [1, 52], [9, 53], [1, 68]]; loss = 0.024668 low_pass_filter = 0.300
+Epoch 0: | | 37239/? [5:52:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 37240; scene = ['127766a21c321077', 'fd0e20ed6215b2fc', '6d2109b33cf763cc', '703d57d94e02af31', '23210d2dcde4e053', 'ec42a73c94927b3a', '5e81dc6c5ab2aa24', 'df2f73d4e0bde932', 'b37be7029a156f43', '93f679ba8100e654', '5a108aa4cc3921a1', '187574c1c6b88d66', '7dbd9d5adbc298b4', 'f4bd64444124a20c', 'e24bcd02fb1d6e1e', '1afdeca5e59e0ac3']; context = [[30, 75], [104, 163], [34, 82], [110, 163], [103, 188], [21, 72], [29, 96], [130, 178], [18, 70], [156, 225], [10, 99], [168, 233], [24, 81], [28, 98], [1, 78], [18, 63]]; loss = 0.027498 low_pass_filter = 0.300
+Epoch 0: | | 37249/? [5:52:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 37250; scene = ['0ca219e558a9ced6', '6454334af1aaabd9', 'abffceaf0098faa8', '853afb68eecbe04d', '59de2764607e1b8f', '71d24f4e70b1596e', '1d08d09515970972', '1a251dc2dac5cd26', '041961a78dfa080d', '36047ec1694f9d49', '79a9385753d426bc', 'f4f30c940e7c5d0a', '18ba931a508cfce6', 'fefc591b7024d57a', 'd8100e3a65dc0be4', '863e3470b4bec698']; context = [[49, 112], [55, 128], [6, 50], [35, 108], [60, 142], [101, 160], [6, 63], [5, 69], [58, 136], [17, 61], [55, 144], [46, 106], [2, 47], [46, 95], [119, 188], [183, 246]]; loss = 0.024695 low_pass_filter = 0.300
+Epoch 0: | | 37259/? [5:52:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 37260; scene = ['e5b2e476d8964707', '4fb3db43b25c1b5b', 'db252809f42d6640', 'fb363e2a9e955254', '7d4ae8b068dd56e2', 'c2057db756174225', 'bdcb6598be7b9526', 'e1bc9239003a5abf', 'b8957b5a607ba2f2', '9b2ed1cbcfce0907', 'f031d05503fbf499', '83f1586e36912120', 'd0dbeb1f49cf3a94', '2827b0aae8ec97a5', 'e5b61893af5af503', 'cd423ac17f3531b9']; context = [[20, 71], [16, 102], [29, 77], [79, 138], [143, 198], [0, 58], [53, 103], [178, 245], [9, 77], [13, 91], [58, 143], [2, 66], [4, 60], [1, 69], [0, 50], [17, 69]]; loss = 0.025407 low_pass_filter = 0.300
+Epoch 0: | | 37269/? [5:52:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 37270; scene = ['c1c55dd1847bba42', 'ed22594386b563a1', '10ac2115c6a95ae3', '158ecf8d21e5af57', '4cbfe8634b73a1e6', '41da3d3e9f892770', '6ec5fec42f9856de', 'ca47232b7dfb2089', '0aacb7ba20d5b2de', '916b86f95631b480', '91fe7fba685c53b0', '9a4d4f8962081428', 'dfe58e223f079215', 'b43eae80d9b59fae', 'fa9f019e1226ba08', 'd24bb3503cb81519']; context = [[124, 206], [0, 52], [5, 51], [2, 56], [67, 152], [47, 94], [3, 69], [48, 118], [20, 104], [6, 91], [35, 80], [65, 114], [16, 91], [10, 64], [15, 79], [16, 94]]; loss = 0.027494 low_pass_filter = 0.300
+Epoch 0: | | 37279/? [5:52:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 37280; scene = ['24ce6ffabc07ab12', 'e7389c12d966a072', '39bb5aa9284997dc', 'e0222b577fdfde97', '17a3785a7d58531d', 'c3f6971df97e2897', '2a4692e93110dcd6', 'eae116e50dca5b4b', '47d88b09246dad2e', '3ec7b2a13295083c', '356ddf471fb381b0', '44d7eee3fa208b6e', 'b163163dd0e2f7e2', 'cfe7d2764a367f81', '03704dad48e824f9', 'c8c034439fbe43f2']; context = [[1, 52], [88, 143], [1, 55], [138, 194], [11, 67], [12, 61], [25, 78], [17, 70], [10, 60], [25, 82], [0, 45], [6, 75], [0, 49], [36, 85], [19, 97], [6, 50]]; loss = 0.026409 low_pass_filter = 0.300
+Epoch 0: | | 37289/? [5:52:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 37290; scene = ['3c9cc4d395328b64', 'e33fe4265015eab3', '4ef60b7c94a88741', 'ff1686153c503b0c', '1a4dd16b9b911cf0', '8a87ccffef19b65a', '42d7020bbab0052a', '3151f48fb640d69e', 'fefa4193d759dfd6', '46a78ac601ddbc10', 'cb0866c6302d4c93', '2255dcc7a505e0de', '250bdb5bd7ee5aef', '088d4118cbe16c97', 'b96a9c7f51d619cc', '1fabb902ef63f533']; context = [[85, 134], [8, 74], [9, 53], [1, 61], [0, 58], [73, 143], [84, 168], [23, 67], [12, 67], [3, 76], [16, 83], [13, 75], [12, 81], [83, 141], [4, 73], [2, 68]]; loss = 0.025158 low_pass_filter = 0.300
+Epoch 0: | | 37299/? [5:53:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 37300; scene = ['1007050ea4602db0', 'c5e355f5e0003838', '589a63f0ffec1297', '52e8de02bb42c2b3', '94c931fd2c558de5', 'a79925c451666231', '6cfe3c7146df3d9d', 'eba2d56e2f7d8c50', '6f874533f773782f', '7fc67d683924a022', '06305d12bda0f8d1', 'e1bdea7706379ebb', '74a2add23fb6138e', 'e2b1f82a439706b8', 'e06779c191688093', 'cbcf75cdcf158a97']; context = [[3, 52], [7, 89], [44, 122], [2, 64], [35, 97], [36, 90], [74, 157], [2, 64], [54, 127], [14, 83], [1, 66], [1, 67], [98, 177], [2, 54], [27, 92], [54, 107]]; loss = 0.032299 low_pass_filter = 0.300
+Epoch 0: | | 37309/? [5:53:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 37310; scene = ['acefb8ef31722674', '4896c75fdd4bd133', '33c9e5240e592f99', 'e99e4a230005fefa', '0e875b5d0e45bd73', '5c6c6c70effe40ed', 'c1aad512bc9d3879', 'a0030d74c6d8a763', '8d5166588c8bc829', 'a8fc97a36a050e6f', '8e1f97d8a91169b8', '794f82190c77df55', '350abc56828c23a5', 'a47bcdf9bd890995', 'a6a55b3c0ac5e758', 'aaea1523d175b491']; context = [[67, 115], [73, 157], [61, 114], [1, 88], [70, 143], [5, 54], [20, 68], [8, 87], [4, 89], [19, 81], [40, 127], [57, 101], [26, 106], [63, 142], [50, 126], [12, 100]]; loss = 0.026844 low_pass_filter = 0.300
+Epoch 0: | | 37319/? [5:53:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 37320; scene = ['d38ceced483801a7', '4f6f5afc21c3700d', 'dea4f1344575ac36', 'b196f9835e7c44f6', 'aa6f4e19536dbff6', 'eb425ed48c29872d', '0d9a105c2374b898', 'a6cb8fb613e79662', 'c368676e54ad8b2a', '956590dd8707a291', 'e6dd3fbd91151b5f', 'd12eaa23dc8bdf11', 'f7de09db1a698fdb', '83c6fd3484bd4fd1', '444acbb6c0877842', 'fe23698b552751d5']; context = [[7, 87], [5, 50], [154, 232], [187, 234], [9, 70], [192, 273], [12, 58], [12, 64], [16, 96], [0, 78], [97, 168], [18, 70], [170, 237], [0, 49], [13, 70], [0, 74]]; loss = 0.026141 low_pass_filter = 0.300
+Epoch 0: | | 37329/? [5:53:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 37330; scene = ['2fa732c2181aba9d', '4fcd6477d1537474', '21b7991bce6e5630', '4f8f97692c8b6ac9', '70deadad561a7c59', '4dc998a7ac265049', '84c580445051e204', 'fba4cc575a011d72', '21a72bef7976762e', 'a66b89aac7e775d8', 'c82fb4a28a0819f2', '2de6f75ff7a7575f', '35878695a2ff24ac', 'c21489d891e26fa4', '050a56996ce60a4e', '2b94ab07e1959c26']; context = [[22, 75], [32, 103], [4, 70], [1, 45], [159, 233], [39, 84], [26, 113], [70, 151], [8, 60], [60, 123], [109, 176], [197, 271], [8, 82], [57, 114], [117, 192], [24, 101]]; loss = 0.037249 low_pass_filter = 0.300
+Epoch 0: | | 37339/? [5:53:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 37340; scene = ['1f6ad370994d583b', 'b5e0441cfe20034c', '60981b21dabe4e2a', '7816c7773e13c822', 'efcc8e5b3e5c6ceb', 'f1b6e93f27fd5770', 'ee5c6bd8fe1eecae', '8f5ddb008afa3cb5', '8d055c85341ef5be', '90a01a4bf92139d3', 'f6a5937f861bc798', '111a2975a86f6e89', '0f1770edc4686804', '661c9d87c961a0e3', '664ad76c825a89a4', '519e791a79112caa']; context = [[135, 179], [11, 58], [2, 49], [17, 90], [61, 118], [169, 224], [9, 86], [157, 227], [47, 132], [35, 93], [17, 74], [126, 192], [1, 47], [2, 68], [1, 45], [26, 91]]; loss = 0.029773 low_pass_filter = 0.300
+Epoch 0: | | 37349/? [5:53:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 37350; scene = ['f9ee709c7030fa87', 'e05844d42038bed4', 'cfc74e7e4416207c', 'ab0aa8aa12dbeb28', '857b8b79d1d97fc6', '44a70efa7340c337', 'a78160aa2032339a', 'bca02cbb5d54d742', '4c59acc6f25bd624', '90b04edfae620c63', 'c73baa525c7917c3', 'ee8ab2f1852dbad4', '009e7b2d81e10364', '2da233b5a1fdf1e3', '69b057dbd2302168', 'e6b2177b246a6235']; context = [[0, 57], [13, 95], [3, 76], [10, 86], [13, 78], [59, 132], [201, 245], [10, 58], [82, 153], [27, 92], [41, 130], [56, 131], [0, 70], [110, 192], [13, 77], [0, 84]]; loss = 0.028634 low_pass_filter = 0.300
+Epoch 0: | | 37359/? [5:53:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 37360; scene = ['129c6eb499de317e', '7f9dff2e30b4bfc6', 'b308d11f761f3807', '42a868a8da9e7039', '2aa779433bb5d794', '47e7256fccd4a567', 'c2506afa089e05db', '9a5e922941e039c6', 'ea1b3657680433f1', '28e9216f5ff9d182', '084f72ae9210b0be', '713d04d4f526c5c1', 'e1cd8eab527eafa2', '3c492b38368300dd', 'd2141efa6564b57e', '20aecf609c29107d']; context = [[18, 80], [50, 107], [68, 136], [5, 53], [109, 186], [81, 156], [146, 208], [13, 72], [159, 230], [5, 70], [102, 191], [34, 118], [3, 65], [10, 59], [30, 79], [8, 55]]; loss = 0.025313 low_pass_filter = 0.300
+Epoch 0: | | 37369/? [5:53:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 37370; scene = ['1b1ae7b669835036', '887b331c607819be', 'f2ae5833a73ab66e', '51f747ae14bb6624', 'ba00c4e1f8ac58b8', '8b9febb103bd0329', '3ce0fba2c29095e1', 'bd1f14e5630fc34e', '74158d4151f8db38', '067a04bebdcba8e5', 'eb70d13262cb7a89', '308f361c51a894d1', 'f8d4d509f7a298f9', 'ae1f8320f520c207', '980309aadec30d17', 'defc305c0789a4ae']; context = [[28, 83], [0, 52], [64, 130], [2, 62], [27, 80], [4, 80], [17, 90], [36, 94], [37, 82], [9, 88], [9, 82], [24, 111], [47, 116], [119, 165], [2, 68], [8, 58]]; loss = 0.028045 low_pass_filter = 0.300
+Epoch 0: | | 37379/? [5:53:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 37380; scene = ['63cb564bb8ef60c4', '08c8768fb707981e', '8b9eb83d96272f71', '65dd2cb793b8bd9b', 'cdf7ab179d4bb5fe', '8b9ec683f13ccd82', '9f0eb311381bcfe8', '3f324aa70bb1beb2', '8df6a8f9f01e468c', 'b9f601fa5ccc54e6', '1e4b301e3edb5c73', '651a9f768e528c0c', '15cdc58fd7076c73', '80577c02d0925e08', 'ccf427298e1906c6', '9a96e3934ac1f20f']; context = [[2, 90], [75, 125], [6, 58], [2, 49], [25, 80], [0, 72], [15, 61], [150, 220], [6, 68], [2, 79], [71, 148], [10, 65], [12, 79], [23, 67], [87, 154], [1, 71]]; loss = 0.028419 low_pass_filter = 0.300
+Epoch 0: | | 37389/? [5:53:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 37390; scene = ['7fe2b466e98518a3', '16f6aa5fc0f28551', '47ae6002443da89d', 'abd404032954ee04', 'cd1a8676555704d1', 'a54c7a2b9fbf4dd6', '2063a1eaa3f63227', '41169f2c39edf539', '885ae680bb5ea997', 'c643bb23eba2cf21', '92bd941ab6967c92', '441fb31750988576', 'f353b0e2364b9578', 'ef4731165c5ecb86', '3b2d83497d98dc06', 'b918852a1561726c']; context = [[48, 119], [171, 231], [159, 209], [8, 52], [26, 106], [26, 70], [25, 85], [13, 57], [0, 64], [38, 95], [9, 90], [36, 85], [0, 44], [69, 132], [191, 261], [0, 70]]; loss = 0.025539 low_pass_filter = 0.300
+Epoch 0: | | 37399/? [5:54:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 37400; scene = ['b952915e6460baf5', '4d4cb55f98b8a3ce', '64c293c5230dfcbd', 'bd534341f7deec9a', '653f7f9d5721469d', 'bdcf63d0e401dba9', '3b478464a6665998', 'f91d97a02869cbd5', '5d00a543f59ea3ab', '7dd3394cb3908cef', '56f95247e77bedc3', 'd2f6501e51fda88e', '7159d6505aa199b0', '37fc71e2d5534f99', 'e05964b2d09ba2b9', 'c0866648804899eb']; context = [[172, 242], [75, 136], [118, 179], [47, 91], [4, 90], [5, 63], [130, 179], [34, 98], [38, 122], [1, 72], [185, 242], [77, 160], [12, 63], [68, 131], [134, 178], [2, 76]]; loss = 0.029159 low_pass_filter = 0.300
+Epoch 0: | | 37409/? [5:54:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 37410; scene = ['697e5db37b8f4789', '8b8fc6108cfd00c5', '876966ec7ad43afe', 'f71fef223090099d', '0cd45f1a752698f6', '01f9c3192976f699', 'f940dc24769c332f', 'b69103386f5db304', '2a02926202215095', 'e559f1da60a5eb79', '899b260d3fada5d2', 'e393deed031f2128', '636edc6d973636a8', '2e23dfa9044cec15', 'e7ed95d934000bc7', '08e11b45c331ea9e']; context = [[178, 229], [12, 81], [32, 96], [9, 60], [135, 222], [0, 45], [48, 101], [75, 141], [69, 133], [105, 152], [107, 194], [5, 69], [3, 86], [11, 65], [113, 158], [125, 199]]; loss = 0.037064 low_pass_filter = 0.300
+Epoch 0: | | 37419/? [5:54:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 37420; scene = ['780faae4b70c35f7', '0a4f895d103b3f57', 'b4c307f6a16e7660', 'a48bd89d4c750b98', '1d72161deb0221fc', '6334a2ea61554ce6', '5e0d1688b8de8814', '5bbae3d047eb84f7', '3db247f055f7e4ea', '3d3facb1425b30d2', 'd644cfb925683a58', '746d615513052889', '18622e59c80cd655', 'd8b3d968d826dae5', 'c0c40d7196c94570', '89943e55af1ebcb3']; context = [[1, 46], [24, 69], [6, 59], [23, 108], [61, 129], [152, 239], [0, 69], [4, 74], [17, 104], [41, 124], [16, 67], [10, 56], [62, 113], [2, 51], [3, 47], [33, 87]]; loss = 0.027187 low_pass_filter = 0.300
+Epoch 0: | | 37429/? [5:54:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 37430; scene = ['46a78ac601ddbc10', '1a4dd16b9b911cf0', 'ff1686153c503b0c', '6866b72f59812142', '56bd38a5cce7b138', 'daf5d2f0110404b0', 'f5b968fca82ee130', '618fb7b305bebf4c', '854a85390ad2cc28', '5bac748f6d427b67', '954ff8679dd88e9b', 'bc4e4c72bee6fe49', '1af546eaa729cc82', 'f935d6d91d6b740e', '3d3c025827e2496d', 'aef8722ceedd6c5a']; context = [[9, 83], [10, 54], [1, 65], [0, 64], [14, 96], [1, 57], [26, 72], [0, 68], [10, 54], [5, 53], [49, 113], [110, 156], [32, 94], [32, 78], [25, 77], [49, 123]]; loss = 0.022019 low_pass_filter = 0.300
+Epoch 0: | | 37439/? [5:54:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 37440; scene = ['92f8c501d9501097', 'bf0755be50798d45', 'd81116dc8c96547e', 'b74cd30ef141705d', 'ff1a64808d8981a4', 'b45e47d231088428', '2ed8d2b8c1159862', 'f24b2611ba45a2cf', 'ffda743d376dcde8', '241096ca94ccb259', '9ca80f3ebf759df0', '882fdfbe720a3236', 'c81095ff7cc7034b', 'd62c060a62da110e', '7e12b2b9d3173b0a', 'd6c9e919641c1d3f']; context = [[23, 88], [18, 93], [79, 142], [5, 74], [1, 55], [28, 82], [12, 89], [116, 194], [46, 120], [89, 158], [14, 59], [61, 133], [24, 77], [1, 55], [2, 56], [38, 114]]; loss = 0.082070 low_pass_filter = 0.300
+Epoch 0: | | 37449/? [5:54:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 37450; scene = ['646d7fe490c813f9', 'f31f0b80f53b946c', '2951495162c9b653', '190ac8a179da3ae4', '192e889ee8976b5a', 'f8e7fb62ea38f3c4', 'ed2867040fbb2e30', '3f93267f27496d70', 'b1130040cfd2f90d', 'd2d46a53ce85782c', 'ed15b35ca2513c63', '5763cbee9140b5d1', 'e33bbac575dfc1d7', '7814de64263ff0b6', 'a47d3c4e370778f5', '7edfe804c8e458c0']; context = [[67, 120], [76, 165], [164, 210], [1, 67], [0, 55], [23, 101], [85, 169], [9, 62], [51, 136], [63, 123], [38, 82], [72, 136], [3, 47], [4, 48], [4, 51], [36, 92]]; loss = 0.026807 low_pass_filter = 0.300
+Epoch 0: | | 37459/? [5:54:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 37460; scene = ['d0a21947c27459e1', 'a087ca8b230e36c9', 'f030d03c2f92321c', '046ddf691fe113cf', 'ccac607e2f21c9d1', '103ccd343d80c030', '2de527ecbeb3b6cc', 'de6a73a44fec7624', '720f015665e06ccf', 'cc7039fcb37807af', '02b09bce2ef84fb0', 'aa054e5a77b2fe77', '3e8c9b739d197f71', '34854bce89063360', '46f6304d4b29c976', 'a2f5237c4ff5cc75']; context = [[9, 87], [89, 165], [14, 75], [0, 44], [91, 165], [3, 75], [7, 85], [4, 51], [2, 54], [18, 69], [73, 147], [3, 80], [9, 81], [53, 139], [26, 86], [200, 275]]; loss = 0.029213 low_pass_filter = 0.300
+Epoch 0: | | 37469/? [5:54:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 37470; scene = ['707548393b4bc8a5', 'dd5ed29765330d4f', 'a356dab14e5662de', '019bf9d48f4362ef', 'd450bfc8d4fd93fc', 'd1c6899b6c6ef917', 'ea30bf8a65e93961', '001c43a59a9e0b16', '0c2a75ad7d5b971d', '1cb7aee79f67faf8', '619fab5acfc50704', 'c221145e989e0ebe', '66a079896a5f5de0', '9127991e1bcbc9c9', 'dc7a324e7e3e0c21', '3fd8ffd6f16252ce']; context = [[6, 80], [69, 138], [34, 78], [146, 214], [2, 49], [65, 115], [9, 62], [32, 119], [17, 79], [61, 136], [67, 119], [41, 100], [44, 99], [108, 171], [46, 132], [185, 231]]; loss = 0.027805 low_pass_filter = 0.300
+Epoch 0: | | 37479/? [5:54:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 37480; scene = ['1a3494f9652bd1d6', 'd78728ca5e6a3d20', 'e967a875e94bc523', 'b82808040252571d', '58694b5c16496ad4', 'f94badaa12bf80cb', 'a120150644ae529a', '66b0bedbd87eb6d4', '5dac5439a266d383', 'b9ac53cf1cd3f4e3', 'cdcf8ecbde39db10', '3d5a986156f92892', '895ca8e07071abd4', 'c5e852504dc42c54', 'b47316f4bcb9c5b1', 'dd62d63a523acdbe']; context = [[55, 112], [11, 90], [38, 94], [156, 201], [29, 85], [1, 70], [55, 133], [0, 78], [219, 267], [9, 62], [21, 76], [15, 95], [104, 175], [9, 98], [5, 50], [161, 211]]; loss = 0.027404 low_pass_filter = 0.300
+Epoch 0: | | 37489/? [5:54:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 37490; scene = ['14765a41ce267f7c', '6ee631bcd878630e', 'b1d2c60a3ac8a360', 'a4cce98abe0edccb', 'c0e14416e501d5b2', '31be810a3c76377f', '9cea789f066202b4', '814d0c2bfc701a48', 'ab1e0faf35dc0be5', '10e7b2b1f440fc8b', '976d6143db761f55', 'cf781827ed879984', '5686977183a1ac27', 'c0a8930b06ab9a0c', 'db6af3fa70500a44', '37cd61314b1e47c9']; context = [[177, 221], [55, 99], [2, 71], [0, 83], [86, 152], [6, 75], [20, 108], [80, 138], [110, 161], [190, 252], [79, 154], [158, 204], [13, 77], [19, 92], [15, 93], [132, 194]]; loss = 0.024378 low_pass_filter = 0.300
+Epoch 0: | | 37499/? [5:54:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 37500; scene = ['23710dc8de8b4a49', '2b6287b06fc332a0', '90f8e4ba9584bb21', '4a53a9711f98a0af', '287f04b4d4c3d565', '8fad002621cb9a72', 'eefd18e172ae4596', '9d37761f3e526b2e', 'a15a797d550d5c07', '587a249b3119ff0e', 'd4f0cd8777b3d534', '40d62c1c34dcb4ad', '0fc84f9949ed58fe', 'a8964dbe9bd1945e', '1ea3205d7fb87f3e', '5832b4ee7ad1000c']; context = [[17, 73], [22, 75], [9, 59], [7, 67], [22, 101], [102, 159], [127, 184], [1, 56], [126, 198], [35, 103], [14, 91], [37, 115], [20, 70], [129, 176], [135, 191], [100, 170]]; loss = 0.026781 low_pass_filter = 0.300
+Epoch 0: | | 37509/? [5:55:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 37510; scene = ['d325bd35d81548c3', '5102042496230ec1', '8d1a20d3c25fd34a', '5431b4af9712cad6', '02bce6fe4244faaf', '913dce10ee8c7f64', '00168ec12dda389c', 'a4af68cb01bc3f07', '5d12f9238f0f4f03', '6b6931797480dfdf', 'cd255701ae031fa6', '485d1c95729aa606', 'fdce883f5cc3e5cc', '8aacbb4c1ff41b76', '74b16aedb01f395c', 'b0eadaebe0c28aa7']; context = [[116, 161], [4, 57], [53, 104], [8, 96], [69, 119], [21, 85], [155, 227], [9, 58], [91, 172], [151, 231], [6, 71], [50, 123], [22, 77], [63, 145], [145, 211], [37, 89]]; loss = 0.022103 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 37519/? [5:55:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 37520; scene = ['2d3f2fbfe31fe9d6', 'ec0b422b890cfdb8', '0a7bd55810dac49c', '81f56e1f6d64e4f6', '04a108af10dbbaf2', '432ccfc02888da39', '42a0898552808dad', 'd6277b107e1ac96d', 'cf2c2cd4809d2845', 'f1a0acc23bcbc5d9', 'e7a80a3722babaf6', '9a8f5fc70818b92b', 'fb1de25d6e5e68e5', 'def926bdffbc8678', '43d15b8037853a27', 'afe980fa0bc82222']; context = [[6, 79], [25, 105], [34, 107], [45, 117], [49, 118], [1, 64], [0, 73], [229, 274], [0, 63], [24, 88], [65, 146], [45, 101], [68, 128], [197, 258], [44, 89], [0, 44]]; loss = 0.025388 low_pass_filter = 0.300
+Epoch 0: | | 37529/? [5:55:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 37530; scene = ['e47992e97ffcaf72', '1e51247de1592f1c', '3e38e5ffccf5c421', 'f0bfe9cc42e2763a', '1bc73f7a63d43967', '82ecc6a8c50505f9', 'cefacead2d094c21', '0b27508d9113b492', 'f32902b7f5e0045a', 'e5ae5d0cde455edf', '4dea6d53165f9c96', 'f1f2ab311bf11cce', 'e0f1516dff86e499', '6bacd75a12a4a79c', 'd407e9cd865ce4a0', 'a4e81cb1ef33e750']; context = [[19, 86], [143, 232], [7, 68], [39, 103], [15, 81], [91, 152], [89, 154], [1, 52], [1, 59], [177, 221], [182, 259], [116, 179], [6, 90], [43, 126], [110, 165], [11, 80]]; loss = 0.036772 low_pass_filter = 0.300
+Epoch 0: | | 37539/? [5:55:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 37540; scene = ['5116921541fb43df', '5a38b8d664c399f4', '270ec2d099edfccd', 'b0139ba67c176260', '9af39f3dadb1471e', '9244ece752e135b3', '25dd017c409dc6ff', '06e9f26b5f803220', '072ace91e2fef373', '1b2e793d39caec3f', '69029690713e2555', '1918093c072f7cdd', '69ec027b22fd5db4', '180c4ba9f87f427d', 'ed3fda3e5a79de50', '8463e86cf267681b']; context = [[8, 93], [0, 63], [159, 214], [29, 87], [9, 57], [2, 65], [56, 127], [107, 196], [31, 86], [14, 92], [50, 118], [5, 86], [7, 77], [206, 275], [64, 120], [45, 95]]; loss = 0.027676 low_pass_filter = 0.300
+Epoch 0: | | 37549/? [5:55:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 37550; scene = ['0956329fc4d362a7', '9f55a331f0e02fcd', 'e324acf1610847ca', '9ab9a834066a3287', 'c69838b39a586dca', 'de41f796919fa481', '538591ce295ffc23', 'cd6c21656a85e9b9', '2889424e1627e36e', 'f98c4f8284140152', 'd8e1f8ca9a8f6d75', '8af741a43dbf8aed', '6e28284a95ec737d', '2a1cb0585368aa0e', '62e5b0716c8f72da', '60863ab1ae0f524f']; context = [[19, 65], [2, 74], [8, 58], [33, 111], [43, 110], [1, 70], [3, 71], [0, 63], [57, 130], [37, 100], [17, 98], [15, 71], [31, 83], [13, 91], [0, 84], [1, 51]]; loss = 0.029290 low_pass_filter = 0.300
+Epoch 0: | | 37559/? [5:55:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 37560; scene = ['54c4874bbe46d71d', '4ec6a005f3d133c6', '7e0fa7fcd96b897b', '872c6a4da1b90652', 'f6bbe443c64d2d10', 'ee6e6ddb7d8979dd', '807a66ebd6cae82e', '5250b4d2feada905', '2a60b631ffbba8ea', '1defccf077f0cb9f', 'fc22b9ea83ee6129', '418dbf076c78be3b', 'bf2a091aee527aee', '131f4b24b3adc68b', '787820e1ad9acf62', '97c87af6e2a772fe']; context = [[110, 165], [4, 71], [45, 130], [6, 58], [50, 138], [11, 90], [1, 51], [163, 225], [4, 65], [63, 113], [26, 71], [38, 106], [81, 133], [6, 52], [5, 72], [0, 52]]; loss = 0.025707 low_pass_filter = 0.300
+Epoch 0: | | 37569/? [5:55:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 37570; scene = ['7a7b8fa54cda95d6', 'fdf059b33b7658bf', '7b256ad1bcd23ed7', 'cc4208ecbe94edba', '88af122546f860f2', 'c157b53c9746c4a2', '017352ea723d6cf8', 'b8f9ee4f3c0559db', '4be29d12916bd88b', '6ff4bea30b84b37b', '43e44e88bc273916', '1dd33197c6d3bb4a', 'fcfd27c98731e0cb', '04364d8a8da17216', 'ed669c1a448bb28c', '936403cfc9f2dc63']; context = [[22, 75], [4, 50], [5, 68], [53, 126], [13, 83], [21, 98], [101, 172], [25, 71], [2, 58], [0, 70], [23, 89], [24, 92], [5, 92], [115, 184], [28, 94], [6, 87]]; loss = 0.027567 low_pass_filter = 0.300
+Epoch 0: | | 37579/? [5:55:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 37580; scene = ['92ac650cf8289b59', '34e200c84c493504', '85843ad1860fd527', '4eade0e0199250f1', '42509afdbd820d6e', '9b2ce670e57e67ea', '00c8250efd605554', 'da0896511a045efa', 'b7f7ecbc17b5b6bf', '0b994471e1f10aef', '0ef4261da6d64772', '9a420203814021d7', '747983eac17e966d', 'f967beae04895cec', '275070dacb6e047f', '61eb63f56957a664']; context = [[14, 79], [0, 87], [41, 118], [159, 222], [6, 62], [36, 107], [25, 88], [33, 78], [2, 47], [33, 117], [37, 86], [3, 63], [172, 222], [95, 155], [31, 109], [183, 246]]; loss = 0.057487 low_pass_filter = 0.300
+Epoch 0: | | 37589/? [5:55:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 37590; scene = ['1af152530e6445e3', '2a92f857a0af6e4e', 'fa49dcd1794436a9', '4b87a7365c9a49ea', '4d45a366bcfb2824', '0c9c3f99228a95dc', 'a5b1d005aa7077ca', 'fb4d4223204b8761', '6002268bbef585b0', 'cb75c5597898298f', '919cdfd8793036a9', '55f9c6bbcedeba49', '402146a914e34bd1', 'dc8ae2b488cf21b2', '3be149890a0c3619', '2e06f7b62880ccee']; context = [[122, 197], [6, 82], [5, 64], [20, 104], [7, 79], [11, 69], [12, 62], [9, 92], [23, 75], [6, 72], [79, 137], [6, 59], [10, 73], [6, 75], [6, 56], [0, 56]]; loss = 0.025357 low_pass_filter = 0.300
+Epoch 0: | | 37599/? [5:55:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 37600; scene = ['a64b425ddfd876fd', '717fbe8af3bedede', '9a9370073a9e5750', '819929ad0c9c6d80', 'fd7813e7f6b9c6fb', 'f7b7405f352d53a3', 'dbdcfa52c1ec70d9', 'a6990abb3591ce5a', 'ff83cd13bfb4cb64', 'baab02d64ec03a56', 'a242e4699cdcf0a0', 'b15464eeb58ae743', 'c040886eda9e8efc', 'a67599645b90125f', '89c1218ebe194ede', '5ede369220cc16b1']; context = [[34, 111], [8, 79], [73, 143], [24, 75], [6, 59], [147, 208], [177, 224], [10, 76], [79, 144], [0, 48], [47, 92], [12, 66], [2, 63], [0, 89], [0, 72], [1, 48]]; loss = 0.025836 low_pass_filter = 0.300
+Epoch 0: | | 37609/? [5:56:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 37610; scene = ['b4d9ca354d107842', '8a4de0caa5254578', '69eb9b519036e21a', '33d57adf7f083810', '1bd27c993ee5d989', 'cfc77a497899104e', '2f7e3bbe426dc114', '111e46ba0e1e8f8d', 'd6f84bd019d779be', '29be873a2a69e242', 'b0ba63ed1ed68084', 'a84696c5c7cc27a3', '3f0773e5ff545779', '2d18d7109de58835', 'e1f302f15cd1bf7d', 'f032185c91cad994']; context = [[26, 92], [137, 190], [9, 60], [17, 73], [19, 72], [13, 90], [6, 89], [1, 52], [13, 83], [51, 120], [22, 102], [37, 88], [10, 59], [77, 141], [38, 98], [21, 98]]; loss = 0.024188 low_pass_filter = 0.300
+Epoch 0: | | 37619/? [5:56:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 37620; scene = ['89367ed9904ef5a1', 'b6eea50d37cd996c', '12e0cd73e03185be', '00b6a786f2c21c17', 'f55137ed9c15c6c6', '1b8abd07e10f4e79', '82b8b4c5e983729f', '31ba0028326b8b17', '50c7f40e49739339', '3a13e56691c8396e', 'bc67854fca5cdac2', '2726f059d69c25f4', 'f81c1b6ddc6962a0', '122d66974706d78c', '8d4018b86dd123ec', '6515de6c81e7c80c']; context = [[5, 54], [20, 95], [150, 195], [33, 88], [64, 117], [26, 102], [70, 136], [162, 221], [0, 61], [0, 72], [18, 83], [9, 81], [19, 98], [59, 107], [50, 104], [1, 65]]; loss = 0.021380 low_pass_filter = 0.300
+Epoch 0: | | 37629/? [5:56:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 37630; scene = ['3bfec395b8c94681', '31872a4e7ae8faf8', 'e66860cc136f6424', '01dff3e73e135695', 'b708eb4026ae8eec', '053fa3b31bd31cf6', '346dc3636147f48d', '61827b8206bace2b', '4afa06236618dc34', 'f1107a1bee7889a2', '746eb5065709c4f2', '0aec101af5e6dba5', '0a3e53b4a9599727', '2f7d98a1e986c181', '84e5fce33300942f', '099b669a948fd31f']; context = [[1, 50], [2, 63], [4, 57], [81, 161], [1, 52], [14, 85], [0, 63], [43, 88], [5, 57], [102, 158], [35, 81], [97, 176], [64, 122], [109, 155], [21, 71], [6, 81]]; loss = 0.025554 low_pass_filter = 0.300
+Epoch 0: | | 37639/? [5:56:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 37640; scene = ['c82a25e9661c7240', '7a1e1fd94e551593', 'a17c6e0bdafd1259', 'bbcfab092d76f8e8', '960f7b4ccbb15c82', 'fef87f5dfaea4c45', '8e60661a87c434c3', '31e82c62699474b9', 'c20985a3dcbc340f', 'ce5c3a585536ecb9', 'ec183e6afc500071', 'f95de6a404d55f17', '2a2f73046f1b9cfe', '974daa1d1b1dff7a', 'e6ac76e77abf7ff8', 'eaaf4ab6429afa9a']; context = [[7, 68], [63, 115], [29, 115], [10, 93], [35, 100], [18, 87], [1, 66], [0, 79], [50, 115], [1, 48], [0, 58], [5, 66], [2, 91], [41, 115], [92, 160], [108, 160]]; loss = 0.023416 low_pass_filter = 0.300
+Epoch 0: | | 37649/? [5:56:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 37650; scene = ['2c4d908d5e4461a7', 'a0cf7452376463d7', '7badba95b5be610e', 'd5065ab056db1de1', 'c0f577534b342324', '3d558b33e360e107', 'dff2e156c7f4a1a6', 'cb5724b7a444ffda', 'dcebdfce0a2e58ce', '1db027885e90c8dd', '42e4ec273becc513', '5d54686ded433477', '996c2ee081cda2d2', 'e30090f2ddfe76ec', '2ca9b131700d2297', '3d14ed320eb46830']; context = [[4, 49], [19, 95], [25, 102], [59, 138], [58, 120], [0, 64], [12, 77], [13, 96], [17, 71], [105, 179], [0, 54], [0, 58], [91, 162], [27, 97], [10, 89], [1, 55]]; loss = 0.028767 low_pass_filter = 0.300
+Epoch 0: | | 37659/? [5:56:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 37660; scene = ['65b0a12d86b78201', '515f694a70ef5528', '65b9540faf40b6b9', '95a8ec31dc3225b3', 'c6ecee158a66834e', 'd8f7bae15f8ab6a2', '792c2bde48423a11', '3ca78fb427a01e89', '1e075825462bcf12', '536becb86a3a1ef3', 'c6d6373111255a49', 'b0aa64d1288a459a', 'b1bdd3bf0c31cb6e', '3a42e516714fd1b5', '5c02e9bdee9af8b2', 'ff5f6d67926a5c6f']; context = [[1, 67], [0, 64], [13, 77], [4, 70], [23, 93], [7, 53], [7, 81], [49, 100], [14, 65], [122, 208], [28, 88], [53, 118], [154, 237], [30, 102], [33, 95], [39, 98]]; loss = 0.025980 low_pass_filter = 0.300
+Epoch 0: | | 37669/? [5:56:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 37670; scene = ['9157ddf2dd3a3b14', '922abf15861860a2', '9fc4a42f8174b2f3', 'e790f451efd033ef', 'dd08310b8bdcc89f', 'cb6b282e7c44622d', '3127753a1ad207b2', 'ed1cd4f9d797bde3', '59e7800dec3fa9f5', '0bc0b77faeecd0cf', 'c1397ab617a28acd', '152d6d3ac836afd3', 'f28bac496ee97345', '7ee2c0f45d7cb0ac', '5176c714d2e72855', 'a5bcf7c72eb10c48']; context = [[11, 93], [16, 104], [22, 75], [180, 244], [2, 51], [4, 68], [7, 56], [50, 101], [31, 101], [38, 92], [16, 98], [23, 100], [3, 68], [0, 61], [1, 56], [195, 252]]; loss = 0.026706 low_pass_filter = 0.300
+Epoch 0: | | 37679/? [5:56:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 37680; scene = ['5cdca5174d25d2e1', '3e9d04e3d7dda317', 'aa70400f2fc7e975', 'a4a176dcde73ea17', '0c7cadc659ac1393', '1e8715fa89b98696', '5fa60eb00fe9c983', '1fc2e3e8d1a09b12', 'b051aa05d9cc987c', 'b8f51a38b1df3fa6', '71da350128beda8e', '0bf674188c2377e5', 'afd1b26a7b3f5833', 'cbe7d9bfe38d2de8', '5e1a097958039de3', '7d8c26c8ac910aa8']; context = [[51, 101], [0, 48], [45, 102], [61, 146], [155, 235], [17, 62], [0, 78], [22, 72], [2, 72], [12, 96], [1, 46], [6, 90], [3, 58], [4, 74], [129, 213], [1, 77]]; loss = 0.024264 low_pass_filter = 0.300
+Epoch 0: | | 37689/? [5:56:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 37690; scene = ['d2f3e6918fead282', '9a8eb979640612b6', '71d819df647d0f28', 'd4838e987d85074e', 'd53fc98a3d2e0354', '240ad84c83b28925', 'b71f1c4d3f3e11b7', 'edd15cbc6844242d', 'b06e72eb3136c5e8', 'c919b0540a5e53a1', 'e6ea6d241b13591c', '8c092656a2e5dd1c', '196346a9ac3789f8', 'a63650c91b0f17f3', '41b0325496a3b8d1', 'f64532570df27c63']; context = [[54, 126], [8, 61], [186, 242], [83, 141], [89, 137], [25, 87], [0, 45], [65, 155], [12, 77], [54, 135], [20, 77], [26, 90], [45, 108], [30, 89], [43, 117], [5, 60]]; loss = 0.020651 low_pass_filter = 0.300
+Epoch 0: | | 37699/? [5:56:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 37700; scene = ['bea6fbb680b7dc9c', '080d56120107ef6c', '7646ac2f8b5fdaa6', '69d344c94d10cb8f', 'a725e2994ee82004', 'e05b95578c4c14d1', 'd0a4631fc857ab8a', 'a27f448e55637a5f', 'dcc32501d6d299b3', '86824ec7330f61df', 'e1e6a57412c525ae', '3ab5ac4bb44ddf9d', '15c35fa613711712', '16f1043c73e5a4a1', 'a27e00bab20bc361', 'e22210d29e49b14a']; context = [[5, 94], [158, 206], [0, 51], [30, 116], [5, 68], [106, 163], [103, 156], [5, 63], [15, 71], [9, 62], [1, 82], [0, 45], [73, 146], [48, 107], [35, 103], [15, 65]]; loss = 0.022709 low_pass_filter = 0.300
+Epoch 0: | | 37709/? [5:57:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 37710; scene = ['979d15f0f89f5020', '813a4e0156fb58b5', '1d5822138fa0c718', 'e7cc9824d4e7bc0b', '7b949ef25a81b51b', 'b536906fec712983', '3d4e734e33cca787', '6720332815eaa197', 'ffe2e1bf600650a7', 'c3c0b8f4afb34ffb', 'f4ec95a169f45f3d', 'ed0890096e714ae2', '951befbf4cb5a337', '24ecfa7e5f8704ed', 'f5b8734a98679522', '7d4dee33e172c862']; context = [[26, 100], [19, 67], [1, 86], [56, 117], [0, 46], [26, 74], [24, 81], [131, 188], [47, 104], [0, 49], [37, 120], [15, 87], [20, 108], [20, 69], [30, 120], [2, 57]]; loss = 0.026560 low_pass_filter = 0.300
+Epoch 0: | | 37719/? [5:57:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 37720; scene = ['4bf31225bd69a6c2', '350d6a093aba92ff', '5d2603f337f55a8f', 'c633ee306fd04085', '7900bb6a5dfdbb71', 'a5f88d386483e9c2', 'a2b2171d8e2e5a06', '7c176d9aef38ada9', '758ae82607fab1cf', 'df54544af0cb2814', 'e67f3603886457b3', '208e267f234ea686', 'eb2b2c9b2fbb446c', '67783af57c87a875', '3f104b93372efcda', '33ed8d0df5f8c20d']; context = [[7, 59], [50, 103], [157, 207], [8, 85], [2, 58], [12, 66], [19, 103], [47, 106], [5, 64], [34, 82], [56, 125], [174, 256], [26, 76], [1, 66], [45, 116], [23, 97]]; loss = 0.026927 low_pass_filter = 0.300
+Epoch 0: | | 37729/? [5:57:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 37730; scene = ['adf2d85c799dc1a4', '3cead9b544108806', 'b54392dde102f10f', 'a9ffa4a8880baf92', '8ff5f069510b07d7', '541aa65a8c4f173d', '6eb834c86b832ef8', '68416e074928f188', '3a8fefa313779e90', 'fc72d2f582914ebb', '9ffd98918cd5c313', '07fa31fdc65acb03', '7303b180402fa4e2', 'f2d21ce8d337b647', 'b0a2a85157926ad1', 'da6cf0614307fc2c']; context = [[31, 109], [162, 216], [74, 133], [16, 81], [68, 151], [8, 63], [26, 80], [12, 83], [78, 125], [9, 56], [11, 79], [15, 95], [8, 78], [5, 83], [12, 64], [125, 171]]; loss = 0.026173 low_pass_filter = 0.300
+Epoch 0: | | 37739/? [5:57:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 37740; scene = ['5f5676c298828c45', '0e52986b67e75cef', '1d155fc2dbf621c1', '1ddfb57e650ff7b8', 'be811134779e7c95', '9050781d7530582e', '03897065a886ec53', 'a533fb81b4f7d990', '15c541d233b99f32', 'a7f2a84e3c3d2246', '9622d9a4e65bd2b9', 'de4deb5003c39eaa', '8c8b3abc5ee188cf', '3b0b68d41e6ba982', 'b1b3445652e40300', '8b5f8899f2dba87b']; context = [[31, 92], [44, 127], [10, 57], [23, 84], [11, 56], [48, 120], [4, 54], [39, 125], [53, 128], [2, 49], [7, 64], [8, 72], [100, 176], [17, 84], [155, 210], [9, 73]]; loss = 0.027010 low_pass_filter = 0.300
+Epoch 0: | | 37749/? [5:57:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 37750; scene = ['5b589353ddc3bf10', '4a16aae24ff2ec4e', '0092c01a563523b7', '92183de07c13c62b', '2b787547ea496776', 'fc6f8e4478f96b29', '9a65de132ab2fff1', '2c38ebf17747a14e', 'c9ba8f17c6191867', 'c21a51e62f022171', 'a48622051ee5dad1', '654a4ef182f4e8ae', 'e57a57f50e6a5438', 'dfe3cbe9ca43aea3', '7d7bf8fc97c29961', '45ebdd9175b3ce86']; context = [[3, 52], [47, 116], [23, 88], [57, 105], [9, 99], [8, 83], [20, 81], [58, 104], [37, 102], [0, 86], [32, 82], [29, 75], [51, 116], [162, 217], [139, 194], [0, 61]]; loss = 0.027092 low_pass_filter = 0.300
+Epoch 0: | | 37759/? [5:57:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 37760; scene = ['c2211476f787bf6c', '3b72d3b94ad91cae', '8e05fa84cec1907b', 'e3a95e30c80c81ba', '46dc1969daa50155', 'bdedaac596d2cace', '0e9f8f1106a1c248', '994a09c04868abe9', '1e1644e076681a88', '516c8c55994340c1', 'dc99cb139204619f', 'a1d6ca5e8fa19501', '3471777d4679f2e4', '2301bf4226984b79', '1d9692d06299f632', '912649b3ee94f486']; context = [[102, 175], [0, 52], [118, 177], [86, 165], [1, 63], [52, 102], [174, 232], [11, 75], [6, 74], [87, 176], [2, 60], [14, 65], [61, 129], [160, 205], [37, 83], [34, 98]]; loss = 0.031328 low_pass_filter = 0.300
+Epoch 0: | | 37769/? [5:57:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 37770; scene = ['1e82a72ac95c1a0f', 'b9d3ceeda47a50b9', 'eae83400ec7b69e5', 'fd9625e01240c2a3', '5679f4f2f6c7e7ae', '860a02ab44e4573b', 'eef4a92fb2f64d7b', '3978af43a7ea01e3', '52f3bb3cf1f36bf9', '45656906ceb6f2c6', '882efbeb56fce689', '536b0a79a61e848d', '40c6f5e7838c0674', '2fe3d2aaf6006108', '8dbc54ca1f13e7e6', 'ad766f968b9edef5']; context = [[105, 169], [47, 95], [31, 98], [21, 104], [44, 96], [18, 82], [21, 68], [17, 93], [3, 51], [30, 115], [5, 51], [73, 156], [115, 185], [43, 114], [2, 50], [48, 107]]; loss = 0.025312 low_pass_filter = 0.300
+Epoch 0: | | 37779/? [5:57:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 37780; scene = ['c6ecee158a66834e', '515f694a70ef5528', '65b0a12d86b78201', '95a8ec31dc3225b3', '3ca78fb427a01e89', '792c2bde48423a11', 'd8f7bae15f8ab6a2', 'b0aa64d1288a459a', 'c6d6373111255a49', '65b9540faf40b6b9', '5f5e47f9ab62f2ed', '536becb86a3a1ef3', '8eefc5250095af5e', '3181deb623385396', 'fcf4c93bd50c4f2b', 'ab81540435e624af']; context = [[82, 132], [21, 67], [5, 62], [23, 74], [36, 91], [2, 80], [30, 107], [9, 57], [19, 73], [21, 87], [172, 262], [193, 261], [68, 141], [174, 247], [7, 78], [4, 93]]; loss = 0.024922 low_pass_filter = 0.300
+Epoch 0: | | 37789/? [5:57:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 37790; scene = ['00c5167e29241893', 'ecb65156238cc6a9', 'a983d5d23327ff9c', 'e242cd9849c42fe7', '4676d54100c9e75c', 'eb0b0f7457e2a430', 'cd7942b83b5de1dd', '217b5aa939551994', '9ef5b77b6ce7235a', '32f21d507431102a', 'ca738f440873a7ac', '9ea9c23612f4febf', '937c5776c7311396', 'b7efd4a0885241a0', '0d7d697af93bbebc', '40990b4eb108c003']; context = [[74, 150], [63, 129], [1, 71], [35, 92], [61, 136], [16, 63], [18, 72], [23, 106], [28, 84], [34, 90], [2, 49], [3, 77], [21, 105], [225, 278], [31, 78], [28, 101]]; loss = 0.028761 low_pass_filter = 0.300
+Epoch 0: | | 37799/? [5:57:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 37800; scene = ['4ca12bb4344471f6', '53bb7687bdc3282a', '9bc6d79bdd9830a6', 'bd7a0a337366b1ab', 'f6f36f1a0e886abf', '771c929fa8c4439e', '638bad7a3e253080', '1ef466c2f5e9397c', '5e133cf4f2e3ea73', 'e5dcdb85ebdce1e8', '4f4163ffeab1b5c1', 'e7899ec595da145f', '98f893c44aa4d5ce', '6062ff955d0269de', 'b2f45bfd5a0668b0', '2bbaf7e8adb766b8']; context = [[7, 74], [13, 98], [168, 226], [0, 47], [48, 122], [67, 125], [10, 81], [135, 224], [14, 85], [7, 75], [16, 96], [2, 59], [61, 124], [30, 117], [0, 83], [31, 110]]; loss = 0.029952 low_pass_filter = 0.300
+Epoch 0: | | 37809/? [5:57:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 37810; scene = ['8cf8eefab5a62f0d', 'b0c87a960cc0e142', '60a93ae5bb06a238', 'ab1185dab9b6da5b', 'bc36023dc3113bd3', 'a06f1c55096a6e49', 'aa5dd9c4063f6e6c', '172173d0bf0c1fce', 'a54873f89d266195', 'add32babab3b0aa0', '7cd91d0323b7067a', 'aaece70a39dd3257', '2735d9182acee2f1', '3afed25f2ffc4864', '39f7c76ef42ac1d4', '17fbb941d129b91f']; context = [[0, 46], [13, 74], [52, 118], [28, 89], [14, 77], [5, 57], [37, 118], [4, 59], [2, 67], [22, 82], [155, 211], [86, 145], [0, 47], [4, 75], [4, 71], [35, 106]]; loss = 0.069522 low_pass_filter = 0.300
+Epoch 0: | | 37819/? [5:58:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 37820; scene = ['82d896f5142ee6dd', '153a1b86a21c98f7', 'effd59a5eb4d2cd1', '19479ef94164d89d', 'bf7d85286d95a16d', '242ee2c8b1208167', '11b74ef19465ab45', 'b74fee95757199c8', '61c9b6540aaa5884', 'd1f583b4b527fefe', 'c897303a7723198d', 'f7498ea452fed198', '36107140acb611a3', 'f70ae846db4fddda', 'bef206c32ad4b41b', '3c15b2ce08b4d3eb']; context = [[39, 105], [50, 113], [75, 155], [9, 56], [0, 67], [0, 74], [6, 71], [46, 99], [15, 66], [22, 70], [108, 176], [6, 73], [3, 53], [22, 85], [147, 217], [4, 74]]; loss = 0.031539 low_pass_filter = 0.300
+Epoch 0: | | 37829/? [5:58:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 37830; scene = ['905b1855f110a802', '0ee1992781f90c07', '94c9aa266f266590', 'ecd5e56d2d3038e7', 'c371d1ab17ce1fc6', 'fd89bf7100bbab61', '38313c7ce5d8fc08', '070f0f205e58ec62', 'c82c5705fa8e6a19', 'efc8b93133b0f6f4', 'b7f47dac8c0ae90b', '17675b4e73f05823', '65fd119cae53be01', '3b85815f3e1df080', '9bbdffac7c93063d', '79b01e4345584de7']; context = [[44, 130], [15, 63], [0, 51], [4, 58], [38, 101], [66, 137], [68, 142], [10, 72], [127, 183], [37, 95], [29, 100], [0, 54], [11, 80], [6, 53], [46, 100], [3, 51]]; loss = 0.025133 low_pass_filter = 0.300
+Epoch 0: | | 37839/? [5:58:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 37840; scene = ['243fb7e3a764ccbd', '5ed4b20886e2e819', '0936d479a2231654', '7390d39ad1d8860e', 'feb823568eb80267', '040875f6c7c6e57d', '669931fb3be86a5a', 'c23b2d4d5e14e6cb', '2b5ee9f95a7b2952', 'ffe6287f703a9087', '6030f480148fe616', 'f5389cf7168ab81c', '1fb84b400b0eeffe', '4b081e386dc80130', 'f6a6729072b2b2d1', 'f5864b8687706513']; context = [[89, 146], [2, 62], [29, 74], [0, 60], [26, 87], [44, 106], [39, 105], [3, 67], [20, 107], [47, 110], [53, 109], [51, 111], [2, 47], [64, 139], [8, 98], [14, 95]]; loss = 0.022177 low_pass_filter = 0.300
+Epoch 0: | | 37849/? [5:58:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 37850; scene = ['659dd36d2be1ecb0', '7a9dda133aa70876', 'a8a9b30bb4cfcae9', '72cf2e2ac5f4da4e', 'e12dd01d2fbb01bc', '5143e1184f8b61c8', '63876ae4cab0165b', '1e4f8f07f0fb947a', '824abdb9c8b1c463', '840c850308f1f3f7', 'cbc2e7b967ecc4f3', '3fdc3a4cae9be243', '80bccdc5e58ea4d3', '256772a5575ec23a', '894ba981bfac8b19', '87e217f0fb889cd3']; context = [[9, 57], [12, 57], [39, 124], [28, 90], [12, 98], [118, 173], [117, 184], [9, 89], [79, 144], [58, 122], [43, 116], [80, 140], [47, 93], [8, 78], [18, 70], [19, 78]]; loss = 0.028274 low_pass_filter = 0.300
+Epoch 0: | | 37859/? [5:58:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 37860; scene = ['af7f2e466e3d478b', 'ac1bdeb4d15992fa', '3dcd5430029f116e', '051c12257290ce8f', '1b7ee4e1a4a96195', '911dac0535d47c98', '8f3ab736dcec6b8e', 'd1ec8bd43d53a642', 'e8b1649721a72c05', 'dad3dca3074b8196', '7b81bc0960e1ac22', 'bce7fdd54adccc93', '438335834436a7ec', '658211c325be8044', 'c24a7025a5737a3c', 'e296c62a58919a9d']; context = [[20, 108], [106, 163], [64, 110], [11, 58], [167, 248], [18, 79], [135, 186], [129, 197], [17, 77], [7, 83], [7, 76], [57, 146], [60, 130], [2, 50], [48, 95], [20, 104]]; loss = 0.020913 low_pass_filter = 0.300
+Epoch 0: | | 37869/? [5:58:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 37870; scene = ['dfd7cac24b2e6d3a', '7b0ef31a4906b4a4', '0e2e11032cffb1c0', 'de1cf9fef80fbf69', 'e4a4b2fb769796c2', '70e9cedc1b651390', 'd1a73fa57779380a', '7c3e16fde4732eb6', '86bfd95d15e6e77f', '8acc319926b0eb23', 'e1ac0872443deb8b', '505e3a60c010679c', '99f9a9b680b860e5', '9c0371059c58a78e', '59f3bc69c37fe460', '7af8f06cde2e3206']; context = [[1, 46], [51, 123], [6, 87], [78, 153], [22, 103], [4, 49], [26, 81], [16, 95], [36, 88], [0, 85], [111, 168], [54, 118], [4, 56], [0, 66], [77, 166], [125, 187]]; loss = 0.025122 low_pass_filter = 0.300
+Epoch 0: | | 37879/? [5:58:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 37880; scene = ['07486563a4a6767e', 'b8a22214c93484b4', 'c58fe96a6470ade7', 'f26265876d49f8eb', '930445560df8678a', 'd0e5375ea13f7b31', '195fc11ccfc6373c', '1715b52a913b953a', 'c57e6a4defebacff', '783a62439d03c764', '2558560e4ba11930', '2024b4f262746dd9', '8888284d5842e20d', '9a5ec225cc655d4b', '72ca9d448714efac', 'c56fd76f9112e79c']; context = [[66, 130], [4, 63], [132, 187], [9, 79], [27, 87], [0, 79], [7, 53], [94, 159], [40, 101], [2, 78], [0, 84], [1, 62], [6, 67], [54, 133], [16, 71], [4, 67]]; loss = 0.034550 low_pass_filter = 0.300
+Epoch 0: | | 37889/? [5:58:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 37890; scene = ['9a30d3c547f96fb3', 'eec0eb22d6191fbb', '7951ab2374350acd', 'ff41f8b6a0af9382', '96594799c47beb71', 'eb9514b9924bd0c3', '12a9071fdbc06fee', '3c5fb699269c6353', '283b240cbd81ebc7', 'c05a6c1249a7fc86', '3ab77edf1ebc9d0f', 'b1026413a8dc3f73', '1a0f85fd8b2981b8', '7f5d7db67c85db6e', '05a1a74b1d9019e7', '5c312ff4a32a368a']; context = [[46, 106], [120, 199], [18, 75], [155, 235], [4, 77], [10, 57], [72, 121], [186, 234], [6, 61], [99, 160], [84, 171], [71, 140], [34, 103], [150, 216], [6, 73], [160, 248]]; loss = 0.027364 low_pass_filter = 0.300
+Epoch 0: | | 37899/? [5:58:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 37900; scene = ['289ea553348d7a73', '1af27ef28bce64a5', 'a6c2b3f39f9251c0', 'c3388a4c38ce9d8f', 'b53c5559170c4f78', 'b18cf71baf1cf74e', 'fdf68971cb931cb6', '353aa510c78bb4ab', 'cb3bc0914e27fffe', 'c56172691de106e2', '5cf6fd40ba1bb8a4', 'b5ca277c9cb53dc0', '020f438641a03015', 'd71073498a4b7508', '3e1432574b8303d8', '39284b7f31b897c1']; context = [[1, 50], [42, 93], [1, 79], [94, 184], [6, 73], [187, 252], [1, 71], [19, 84], [113, 162], [21, 102], [7, 53], [20, 104], [53, 109], [8, 68], [30, 75], [79, 136]]; loss = 0.030000 low_pass_filter = 0.300
+Epoch 0: | | 37909/? [5:58:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 37910; scene = ['083888ddd44982da', '0569e6e41e18271b', 'ea1d7d4183eff93f', 'a45c154e21ffa65c', 'e44658a3501601eb', '7ac3519a24738854', '946f96dfadda281b', 'ab84bd6ad2c3f20e', '0ca0911df7c66c58', '3dd1ee9ce46014e0', '4a2c069d7bfa3eae', '0788c973574d562f', 'd8cb90fd13152e6c', 'd998d161753e9542', '4801c55743478ab4', '4a5e619c6f01c41e']; context = [[81, 155], [6, 64], [15, 101], [24, 109], [7, 71], [26, 82], [8, 84], [159, 226], [208, 274], [1, 79], [21, 70], [111, 156], [4, 62], [15, 76], [45, 123], [0, 72]]; loss = 0.024002 low_pass_filter = 0.300
+Epoch 0: | | 37919/? [5:59:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 37920; scene = ['56ccd6611d066f1e', '4c32929b9bde96fd', 'fd1262efb99b8fa0', '02dbed97d4546d8c', '7064a41c06854720', '105cb87f72ce69a8', 'd162f61100eaa1f5', 'd1bf37200ec6b9f3', '45dd934cb342509a', 'f7b66cf4efb27146', 'fa5c230cb2fa768e', '57a2e1f94490e770', 'b4e6ee21387ace94', '378c2fb1b45c30d7', '41aff47d6824d66e', '80a3ae42fa01f8c7']; context = [[58, 111], [63, 129], [31, 79], [32, 102], [42, 108], [187, 234], [0, 80], [11, 88], [17, 102], [72, 125], [54, 125], [25, 73], [4, 87], [72, 152], [4, 61], [28, 80]]; loss = 0.031829 low_pass_filter = 0.300
+Epoch 0: | | 37929/? [5:59:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 37930; scene = ['c3ac590cf4c79c6f', '8678ce25ecd260a1', 'b6a4891a9b5b2d37', '06b30bfd5d41942e', '5b66b0f0c61669e0', '5dd5054253cab35e', 'c8ce1d1a2b2982f5', 'f02a3456a8982ac0', '7ac6a65860255d89', 'f4e994c72a801e39', 'e2dd04a765274f4c', 'e5d9bba19e6090de', '10cc7bb061605d57', '63af9885dcfadd96', '558e6d3b43990261', 'dc4cde40cb53c448']; context = [[11, 80], [15, 84], [38, 122], [48, 108], [12, 85], [1, 46], [13, 80], [103, 151], [59, 135], [6, 83], [16, 63], [27, 82], [139, 206], [16, 62], [1, 72], [66, 126]]; loss = 0.026262 low_pass_filter = 0.300
+Epoch 0: | | 37939/? [5:59:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 37940; scene = ['9a4d4f8962081428', '10ac2115c6a95ae3', '0aacb7ba20d5b2de', '6ec5fec42f9856de', 'd5ff3791e665e700', 'f54afaa529791d38', '2d9e5a21d252ae14', '8cc4a9c07940e030', 'b7c906a0a3d5a9be', 'c554cbf54f3649c7', '9e3a0e80ccce007a', 'ba604b97e3b89111', '821fc852654481cf', '5ec3fb8cde184b21', '76ff279455982eed', 'b2b78a32c4452275']; context = [[92, 139], [24, 79], [37, 105], [5, 65], [8, 54], [90, 167], [127, 211], [10, 90], [39, 96], [68, 134], [29, 110], [7, 69], [11, 74], [23, 96], [57, 110], [85, 151]]; loss = 0.022507 low_pass_filter = 0.300
+Epoch 0: | | 37949/? [5:59:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 37950; scene = ['5b7d6f510045de0c', 'c6f270aee918729e', 'e9af8e5a35c54350', 'd4a2a9eb76093fa7', '893f7fc55d9acc03', 'd1c2b6d7abcaafa7', 'fc0f6476699ccd35', '3766ac6cc8557aeb', 'f53efa56a89798c9', 'c57f03185717e73f', 'cea208c8d33c3ab7', '07b622db0f313514', '3781936e21941a96', '6963e857ec109d3c', '73a4c1e7ce31eb66', '0846e54fa829a3cb']; context = [[105, 157], [50, 110], [39, 109], [123, 199], [3, 51], [0, 65], [5, 76], [17, 91], [19, 64], [136, 190], [36, 94], [2, 47], [5, 84], [11, 83], [1, 82], [2, 79]]; loss = 0.027067 low_pass_filter = 0.300
+Epoch 0: | | 37959/? [5:59:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 37960; scene = ['3eb81ffa1e18b6e3', '569da609d6f1d8d0', 'fbc1ce735bdab6e1', '1b166f3cc64364ae', 'e1189502481320fa', '6b34ef355b651ca7', '6e35cce189eaf2ac', '9214c3dce7de3f01', '0d665a3413c8764b', '0dafe350e2f5aa02', '3757462619d15dec', '2034845e359abfe6', '43c7b433a726321b', '703d8f552e7332bb', '06efe0146b2e5aa2', '1c40367f8f64b13b']; context = [[25, 72], [0, 88], [10, 79], [59, 134], [4, 54], [60, 117], [5, 70], [19, 101], [6, 55], [32, 96], [135, 181], [2, 65], [32, 82], [5, 66], [28, 74], [32, 83]]; loss = 0.025626 low_pass_filter = 0.300
+Epoch 0: | | 37969/? [5:59:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 37970; scene = ['3e82f9fbbfe76afc', 'f7933b7f0b1b4d8e', '5790f3223cba0631', '8fbfac2158a025c4', '4b7068f19d61a837', 'ac2f6532424563f9', '87d078a6132293af', '7543d863a85dcab7', 'a9ed25f9d08ff868', '334347999e76c28e', '854117547c5691d6', '8a34c9e16476e41c', 'a0ab47f15ad0a175', '2d8d59ff223d1b70', '4ae0c60db6050947', '75a17f30ebffbc88']; context = [[4, 62], [3, 48], [5, 64], [42, 114], [3, 51], [8, 82], [13, 85], [136, 184], [5, 68], [5, 93], [5, 60], [72, 121], [6, 80], [41, 93], [105, 172], [1, 83]]; loss = 0.024791 low_pass_filter = 0.300
+Epoch 0: | | 37979/? [5:59:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 37980; scene = ['bdb7ab53ed03a3c6', '577813a4c095fe63', '30f8149501a9caa1', 'e9ba3b63aee05039', 'a735bcc21457ef62', '0550fc77f285b0ae', 'cb62165828675290', '64074874e99f7647', 'e1593b5aae9fcd36', '19480bfabbf69d96', 'a87de6d33a1248c8', '97c17a65b67361bf', '72975c529694ef9b', '7c2e6d49485e3f27', 'a96856591edac79d', '500e818ab2b2d06a']; context = [[6, 71], [14, 87], [12, 84], [14, 59], [50, 109], [17, 64], [43, 90], [4, 87], [15, 99], [35, 111], [21, 69], [0, 82], [165, 231], [0, 45], [2, 48], [17, 69]]; loss = 0.025688 low_pass_filter = 0.300
+Epoch 0: | | 37989/? [5:59:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 37990; scene = ['7303b180402fa4e2', '484a9bbc30003fcc', 'b3eb7d9489b53fa6', 'e654c951fe486a67', 'a890bab1154211c8', 'abfac8e8c688c9f1', '1e655b97eff9ed44', '245ec87f817cf1e4', 'beaba217aedcdbf6', '8ee376f0a298ec87', '0dcc9979156d2fa6', '480231b83d000bf7', 'a25bf33f9d312013', '205de76eec36ffca', '71ab9816948406c2', 'acefbb31025956af']; context = [[2, 80], [58, 134], [0, 46], [7, 97], [37, 118], [6, 63], [0, 51], [30, 80], [13, 83], [63, 152], [0, 56], [3, 53], [2, 89], [8, 64], [20, 88], [99, 174]]; loss = 0.024956 low_pass_filter = 0.300
+Epoch 0: | | 37999/? [5:59:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 38000; scene = ['109dab316be31072', '5fda305d4227ad1c', '86bebda47383c669', '2cd79ad278362a9d', '21eed0b2652e66d7', '4ce102ed6fa5346f', 'd81b83c06200192a', '7b173309e3adba36', '93fed0283d683198', '536bdfd087829c69', '1d6b02844df00066', 'd1f11ff6b25136a6', '502c2d01977073ee', 'e5d56d435c2d43de', '7fcf22e08f55d9dc', 'd805fb46f3952987']; context = [[14, 78], [27, 88], [79, 124], [0, 80], [77, 137], [31, 101], [62, 141], [10, 79], [24, 78], [11, 67], [2, 92], [21, 108], [99, 146], [155, 210], [187, 242], [25, 80]]; loss = 0.051007 low_pass_filter = 0.300
+Epoch 0: | | 38000/? [5:59:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000validation step 38000; scene = ['cdef9e6563e99383']; context = [[39, 101]]
+Epoch 0: | | 38009/? [5:59:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 38010; scene = ['1b38ef04f2839dd6', '594a53a4007ff3ee', 'ea4fb83f87109ac9', 'c10a042037a5a120', 'cf784e584d2d33da', '8663906248d346cb', '4308154957c1ef63', '2950884335bd243c', 'd29ff797dbc69ab5', 'db9bc0ff275d4fbb', 'a3a5e373d876db0e', '2eacf9db1843546b', '6187332401a328eb', '0f93fdb52c6933cf', '7300b62195688898', '4f202bd24cdf8dee']; context = [[41, 93], [1, 71], [36, 88], [0, 77], [0, 45], [142, 207], [2, 52], [1, 69], [110, 181], [20, 109], [80, 138], [1, 67], [109, 165], [22, 69], [50, 137], [17, 98]]; loss = 0.028256 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 38019/? [5:59:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000train step 38020; scene = ['3c98d600041d2bcc', 'e840f15a503d14e5', '4188d18d531e631d', '960176f87cb28bcd', 'f400159b3dd78ef1', '5b3ebcc7978db790', '0c0914577ebe7288', '58cdd230b4f5b590', '1c59278c74ba3308', 'ac6f577f464b2a48', 'af105cd09514cce6', '50a188daaccbfe3a', 'e5f41c9021b0b7c1', 'b94fc288d2b736ef', '247393e72009dab0', '513826433660cb1c']; context = [[1, 75], [68, 121], [91, 136], [35, 90], [188, 243], [6, 57], [6, 72], [12, 100], [47, 128], [30, 77], [0, 77], [38, 125], [153, 224], [13, 80], [9, 58], [15, 76]]; loss = 0.026022 low_pass_filter = 0.300
+Epoch 0: | | 38029/? [6:00:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 38030; scene = ['f824e9aae22d0369', '335cbc02c8b641d1', 'd05469e324c0bc42', 'b5dfd6a33604ede4', '0f3d070f4b358f54', '4c167e89c379faed', '6c31b1dc128b49d7', '2352dce87a236495', 'c99ab9b0911f0d72', '46b932fc6f061d63', '778db35244748422', 'f97b13a0875462d6', '68742c3ac6d511e5', 'f733d225ad2bb09a', '859236e0cbc2f4a5', 'e56221b081fdab71']; context = [[61, 144], [28, 73], [0, 54], [77, 133], [0, 64], [43, 130], [110, 167], [13, 58], [105, 173], [95, 169], [135, 216], [98, 143], [9, 58], [3, 74], [54, 133], [32, 90]]; loss = 0.024792 low_pass_filter = 0.300
+Epoch 0: | | 38039/? [6:00:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 38040; scene = ['ed352f2665692016', '8364c4321985f96f', '68c25f69810089a9', 'a30e8f30f010b35d', '3177e84ecef83f28', '903f7c6f848de281', '1ac4cfaff40371ba', '18e66f4ce4b016c6', '96422d8d95f912c1', '77599310739d08b6', '607acbde108694e4', '5e1afe14aead7542', 'b5f5bd68eb8e3559', '644b75fbb7a4ae21', 'fc13b2d2ffbcffe8', '45fe4bbb2526ca6e']; context = [[0, 78], [10, 79], [97, 180], [139, 200], [65, 113], [29, 105], [44, 129], [6, 79], [4, 64], [3, 50], [88, 166], [27, 88], [60, 120], [10, 76], [71, 138], [50, 138]]; loss = 0.023812 low_pass_filter = 0.300
+Epoch 0: | | 38049/? [6:00:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 38050; scene = ['a86ad11e2813e855', '06740c3d029835d2', '0ab75011e9c92a01', '38d4b64a2c62a10c', 'b81a88ba12cb339c', '818df63ddd1cf294', '88c10677dde7a461', '71e276d963c867d3', '5a653e5ebdcdbbf0', 'c2ad8a9ba52a66e4', 'ac73c593c5fadbb2', '582b42ffa44c4437', '46ec28923c735944', '30ee4fd9eccc6b9a', 'e63575e2657489fd', '8163796864b51991']; context = [[148, 233], [8, 80], [32, 119], [21, 86], [78, 167], [1, 75], [22, 79], [4, 84], [24, 81], [47, 131], [51, 105], [8, 63], [1, 54], [26, 114], [3, 70], [57, 109]]; loss = 0.129391 low_pass_filter = 0.300
+Epoch 0: | | 38059/? [6:00:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 38060; scene = ['ba1cfcf3fdd04579', 'c60161d70d4a37c0', 'e259ed73b7ee9dd1', '0d7c1a3319b74e43', '03547a7d7e71d13d', '35c139cb56dae1ca', '65c3f29c43dd1e63', '3e4627cb115160eb', '5a0f4971a1fb444e', '8b043c1d687545e1', 'fd6368a0f2fa72af', '574c4d856cb3abf5', 'cf807787ef5b8f62', 'd155f6f763021c37', '1e85f953f89df2a8', 'd0b0a16bde7ef31c']; context = [[5, 66], [116, 181], [27, 104], [9, 85], [229, 278], [2, 60], [6, 51], [198, 243], [42, 122], [24, 104], [18, 89], [1, 61], [21, 89], [2, 48], [8, 69], [35, 85]]; loss = 0.024007 low_pass_filter = 0.300
+Epoch 0: | | 38069/? [6:00:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 38070; scene = ['1229dfbf06d50470', '2c1b31dd1dd65324', 'c87dead79bae5c1b', '76b78ceb6cc89c99', 'c037d143a8e0ccbd', '3580c8713b199cc9', '595babb1c9037e3f', '1a84349fb2a36ad9', '9985153755b905cd', '962084e11146bb55', 'e28781365469c1bc', '20e9ed1c2504af2d', '155bc9ea0b7045f3', 'eba25d15f8c70f0f', 'd8a689c565481aa2', '650463c0a23b644a']; context = [[20, 68], [118, 183], [97, 171], [24, 94], [40, 125], [0, 54], [99, 161], [11, 93], [124, 204], [37, 84], [7, 77], [82, 162], [91, 141], [16, 87], [12, 76], [15, 103]]; loss = 0.026820 low_pass_filter = 0.300
+Epoch 0: | | 38079/? [6:00:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 38080; scene = ['1feb9ecdca23818f', '06e4a604e5a0bfec', 'a48bd89d4c750b98', '143bfbda2460bd45', 'c8fefdd251b6d90c', '0a4f895d103b3f57', 'b4c307f6a16e7660', 'cd46cda78a86e4ff', 'ebce0e22003b1b97', 'af63bf3a8f7b4a47', 'e5ef6dfdcbcf430c', 'ca39898dc82ac69d', 'd725f58a68fccddb', 'fe2df6a236f5bc79', 'c42c6d551c4c4d62', '57ea5883b42d1a76']; context = [[22, 75], [2, 77], [69, 115], [101, 171], [2, 80], [19, 68], [12, 92], [92, 146], [2, 51], [2, 72], [20, 88], [92, 177], [5, 91], [6, 76], [98, 147], [0, 82]]; loss = 0.026935 low_pass_filter = 0.300
+Epoch 0: | | 38089/? [6:00:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 38090; scene = ['377a26af83fd210d', '3fec42c6570a70d0', '4f768e705a9c812b', '0b95756523e57ef9', '7788c075e21e862d', '1fef55c7753f1cce', '5c88ff05f51279a4', 'ef788a2216895f19', '437b5b7a2fe26b67', '7ab9776ea53a33be', 'af8138fd057cb9ba', '5b56bc954e1facf7', '3f27e74e06018bdd', '58a0cb2ee7df863b', 'a5e7bac0c5ec864e', '26855c82574154fb']; context = [[15, 102], [0, 90], [8, 63], [5, 65], [11, 57], [86, 153], [48, 97], [59, 108], [113, 179], [7, 75], [7, 52], [21, 88], [28, 73], [38, 92], [77, 126], [42, 107]]; loss = 0.024490 low_pass_filter = 0.300
+Epoch 0: | | 38099/? [6:00:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 38100; scene = ['b8d6dfd707b7165a', '1198d37162be14cd', '0b72b431bcc27904', 'ad95074b40f49e6b', '21abe550e2564c53', '3a45cc3847c98390', '91214e26a4b8b468', '4308e0766d924995', '8e53e7cae01ffe5d', 'f42b9fd27850d7e1', 'ce11fac2d43ed83b', '4e06000409ad97bf', '0928998054c51877', '6e05907e3f19fd3c', '71eaf6a42c20b54e', '3a00bf0557f697bd']; context = [[8, 92], [14, 69], [1, 78], [30, 110], [29, 95], [127, 195], [1, 63], [22, 85], [1, 75], [42, 97], [29, 101], [0, 46], [69, 147], [39, 124], [4, 89], [0, 83]]; loss = 0.257529 low_pass_filter = 0.300
+Epoch 0: | | 38109/? [6:00:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 38110; scene = ['71becabd789f58ab', 'c699a0c7b862e041', 'b83886f0e8bc5a63', '0fc2d2e45645813b', '360a6813db41635f', '5b756acd27bfbaa9', 'a165cf3b52d52672', 'bd814603b3e38fb1', '3d86d5c255821277', 'dd6b426f383d86cf', '774047a695fba862', '5ba779733d379dfd', '41646b4cab9e19e5', 'ab749461af5d5717', 'c1be42b2ade872b0', 'e6cd96ceddb9b665']; context = [[4, 72], [46, 98], [16, 76], [60, 105], [103, 167], [1, 54], [98, 186], [143, 215], [1, 63], [6, 73], [84, 146], [62, 111], [62, 126], [17, 67], [55, 121], [1, 53]]; loss = 0.023926 low_pass_filter = 0.300
+Epoch 0: | | 38119/? [6:00:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 38120; scene = ['df4506e800e19bd1', '1c4853b9562447dd', '32261dd2941cfcae', '683c969b32f1b4b6', 'e5537547dd598187', '1fefe15b477db1e5', '35d9cc4d7e5487a1', '0cb47bf3e9ed3aa5', 'c0e387d3a6285a32', '15c9a1e812246b15', '1164844756dd90a7', 'ee605ae319bbb3e7', 'e07365117a8b4c36', 'c133fe1ba03631b8', '6c63e747c6ccac2e', '42a118392a6d7d4f']; context = [[2, 79], [191, 267], [97, 185], [180, 243], [3, 59], [132, 199], [184, 236], [5, 64], [47, 108], [0, 83], [118, 177], [56, 144], [22, 103], [1, 46], [10, 90], [1, 51]]; loss = 0.028592 low_pass_filter = 0.300
+Epoch 0: | | 38129/? [6:00:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 38130; scene = ['ef445bf994788b81', '67220c977a681ac0', 'ed491b6b382a27dd', '8c8f544747e05e5d', '9289b45affc0393a', '8c7d11ab92e11ec2', '581114571144e6fb', '975fddc4aa1ebaf7', 'f7011566a1bd9f85', '24450034eff8a6bc', '62061c7c44274dea', '14a4cef572e9d315', '8b2348d751ee051b', '1645604849493d09', '2c6eccaf73d3abd6', 'a1879f47b5c0ea50']; context = [[0, 57], [100, 165], [68, 119], [32, 122], [20, 84], [32, 104], [2, 82], [12, 58], [10, 79], [7, 84], [6, 52], [30, 84], [74, 137], [30, 79], [57, 106], [1, 61]]; loss = 0.027303 low_pass_filter = 0.300
+Epoch 0: | | 38139/? [6:01:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 38140; scene = ['2cae9627f30c2c23', '29ca12a090c5d6da', '2fe3aa52ae31c484', '2064cdc994318d4e', '4634e127286f20c8', '03b39900285e978d', '17f9beb10ab4ba3e', '350a508a31e0b121', '5f2f43c51cd498f1', 'c13f2d587ae31554', 'd9ba46350c5afe5f', '26865dfe439caf77', 'd50d7233845eaffb', '2be0a2db028836f9', 'd206673ebf65db82', '7bc7fdbcf2d99f74']; context = [[12, 69], [30, 75], [42, 95], [55, 109], [20, 90], [74, 122], [13, 63], [128, 195], [77, 159], [4, 85], [13, 83], [11, 89], [16, 99], [16, 68], [81, 170], [38, 87]]; loss = 0.028247 low_pass_filter = 0.300
+Epoch 0: | | 38149/? [6:01:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 38150; scene = ['9af2ad7f7fe8589d', 'c73272627b13a495', 'e9554c14b787529e', 'c5c0ca1ed57d6f0d', 'c338b5625ab72dde', '270644731647fb92', '4ed59f0ee55f249b', '08f243f58cbe5d22', '012d6a11ce2461e5', '1ffe50aa97052b99', 'a924aad5ec2cfb5e', '19b10eae955dd969', 'dc50a5e1a0944fac', '94268cc0d44cd2f8', 'b9c5c7b6db633f2d', '225ba5fd4f771aba']; context = [[5, 79], [16, 82], [60, 117], [9, 79], [93, 174], [72, 154], [29, 90], [179, 257], [89, 165], [10, 59], [33, 88], [5, 59], [87, 155], [8, 92], [30, 100], [10, 89]]; loss = 0.027197 low_pass_filter = 0.300
+Epoch 0: | | 38159/? [6:01:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 38160; scene = ['b159d0a343e96ba4', 'a1e76665f15a0957', 'a9e35f71da9b95d7', 'ee083b9c6270ee54', '63a1ddb171e376b3', '604f1cadc2bc9d12', 'f3803c80b896e69b', '509f4cd205dd12f7', '564a93bbbc4a73ad', 'e4c78883f6775f94', '6169c25afc317b7f', 'b6203fdfeb97f2c6', 'a66b6e8c09115d7c', '6c9afe02d8390b5a', '159e4575ac8d8465', 'fadf8681f71b6225']; context = [[99, 185], [0, 71], [3, 52], [62, 118], [0, 52], [14, 66], [139, 223], [68, 153], [16, 102], [0, 83], [5, 51], [137, 205], [16, 66], [8, 86], [0, 59], [0, 63]]; loss = 0.023457 low_pass_filter = 0.300
+Epoch 0: | | 38169/? [6:01:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 38170; scene = ['8276023f7630f02c', 'e5da140c92b92632', 'bdee0698adec58fe', '526c59f06f78ef7e', '84b68420048d9bde', '6146377d0f7c8084', '1a846057f66a916b', 'b316111b3f4a86b2', '5a90e252660a39c9', '8d8bc81314ee7d5c', 'fa03b90c494b6971', '9ac86842800aa7b8', 'cfc86808b03645f2', '0ec72bd0390fe1b1', '2536108e699d5da7', '4fef71e64595a0b8']; context = [[149, 209], [4, 78], [5, 71], [0, 50], [181, 255], [22, 68], [1, 47], [21, 105], [3, 68], [1, 52], [15, 102], [11, 84], [82, 165], [17, 66], [25, 85], [8, 62]]; loss = 0.026178 low_pass_filter = 0.300
+Epoch 0: | | 38179/? [6:01:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 38180; scene = ['955559418313af15', '4dfd54f3098821dd', 'fa6335a92d7faa48', 'de832a9e5c890869', 'f143d7c9ff7c1234', '10fe0d451220407a', '26e1218850abd298', 'c6ea933d1fff0d59', '4c8ecba879bb3eed', '2443e886f743cc34', '73dc27448e4f065a', 'e46419c7826b661c', 'ca89e36b41581eb8', '5f0f26d2f069837f', '2e4d16122bd76f43', '7d6557b3ee6eaa8c']; context = [[172, 244], [0, 51], [80, 150], [1, 55], [2, 81], [94, 174], [37, 114], [0, 70], [13, 67], [1, 46], [12, 88], [30, 84], [50, 116], [13, 68], [62, 147], [25, 91]]; loss = 0.027226 low_pass_filter = 0.300
+Epoch 0: | | 38189/? [6:01:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 38190; scene = ['3539d531cb61889f', 'b972669c5c766b18', '8898e2a210362ba7', '70716081af03e1f7', 'fa815bcdb9927d2f', '401a8412c7de98a2', '85a1f78298042147', '827e64702c874a05', '94c1d9744c3d43d8', '1c920b38bd59f0a8', '6512d658e8b42f9a', 'c41ec7d3f062292f', '8a54963763c7074c', 'ee5253dae1574a08', 'a6a59191a5b213ca', '0dc1c55f19440123']; context = [[81, 168], [0, 67], [8, 69], [4, 54], [12, 81], [11, 69], [26, 90], [37, 121], [49, 105], [98, 169], [25, 72], [131, 218], [49, 116], [3, 56], [35, 111], [37, 104]]; loss = 0.022121 low_pass_filter = 0.300
+Epoch 0: | | 38199/? [6:01:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 38200; scene = ['cad83af880c4f0dc', '45f093b002440140', '749a509eb127ea56', '4a12eddb909e001a', '96640585e0c7373c', '6a4baab4d302d614', '6797efbddf6c78c6', 'ad5ec508098f2090', 'e3d77654e29ec6c1', 'ef44b8efeb7e8b0e', 'c0d31c722939cbc8', 'e0be76d8ccdc1fbe', '009b0cac4a16bbaf', 'c19839af089b3874', '4fcb1e9198e54b4a', 'b62637bfb3e6c4f2']; context = [[3, 48], [33, 90], [124, 183], [13, 62], [20, 110], [10, 96], [2, 48], [72, 148], [20, 67], [52, 123], [34, 97], [8, 59], [15, 76], [21, 71], [112, 167], [1, 69]]; loss = 0.023307 low_pass_filter = 0.300
+Epoch 0: | | 38209/? [6:01:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 38210; scene = ['d9e0fbd08e604fcf', '970767e29cf84f39', '68a3b46fca433cb2', '89a259054c86c2b8', 'a50ad10fbaf3944e', '9ab202bff0564dc6', '31b2b4402ca020d6', '53e3cefb76e02bed', 'f70d8dc3f5ba58dc', 'f854d7e5ce456dab', 'b453004f4b83ddfc', 'e4832b64e5b73784', '0be9edb1ba9bf557', 'a51722bd986895ba', '0ba8a59b524ec188', 'd5b62e2693108c0d']; context = [[5, 84], [80, 135], [79, 164], [44, 116], [24, 95], [49, 128], [31, 83], [50, 101], [4, 51], [31, 109], [50, 125], [26, 103], [108, 185], [39, 92], [19, 73], [7, 74]]; loss = 0.032982 low_pass_filter = 0.300
+Epoch 0: | | 38219/? [6:01:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 38220; scene = ['0fbdb79a21cca427', 'bfe25c63d7a31e6b', 'fa329cbbc020ddb6', '221efb3325905449', 'f3cacfe3ffeb7f0b', '23cce795aa30ae38', '65de107f6b39ec37', 'fc68db62b98934af', '2e770da39beca629', 'd1b9a1b70474466f', '5f0a8cfefdaaedcc', '7039734be2f00317', '51d0544fae56e467', '1374f1c247f796e1', 'cc64908cbb514ebd', 'd0a703be7fbaa9db']; context = [[125, 192], [1, 90], [6, 78], [5, 51], [49, 105], [70, 122], [83, 143], [47, 96], [59, 132], [0, 63], [104, 190], [3, 91], [89, 146], [95, 165], [113, 176], [71, 135]]; loss = 0.024962 low_pass_filter = 0.300
+Epoch 0: | | 38229/? [6:01:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 38230; scene = ['3bddc5d804941402', '45fe4791e4cd5931', '87c924499e6e0e27', 'd93bfed273f01550', 'f384611b03428126', '6a4ae39c67a47ba5', '07e88eb06321ac86', '05391aefeb1334be', '9dbd9623f02b4815', '5afd54ff10bf02f5', 'a88e46e5d8711c8e', '792a9b92fbcee6fa', '889141249495d6d5', '525a5fe905539bc0', 'c176654607fd9cce', 'ee15098deacc41b5']; context = [[157, 208], [14, 93], [1, 47], [25, 99], [123, 209], [16, 62], [4, 53], [45, 95], [0, 83], [7, 70], [94, 182], [88, 150], [36, 90], [13, 84], [47, 97], [50, 139]]; loss = 0.026561 low_pass_filter = 0.300
+Epoch 0: | | 38239/? [6:02:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 38240; scene = ['6dfe41d46d841142', '8f504acbf63a2e05', '397e9da33cc41440', '3a158a1cdbddebcc', '7694f69099715be2', '5744343c3743a903', '00f0764e16d6b22f', '6da9d447d687367d', 'be744a8b88c60270', '91641027c5a42937', 'a16ab48a335c2363', '5f42c04b5ea03b53', 'a6fe568fafe9518c', '63931c43c4ca2218', '6b1df56d16c76f89', '96a9a981e60cf27a']; context = [[1, 52], [117, 194], [19, 81], [1, 66], [78, 142], [34, 111], [46, 98], [29, 98], [96, 161], [15, 89], [22, 91], [7, 58], [0, 64], [45, 134], [6, 69], [57, 147]]; loss = 0.031331 low_pass_filter = 0.300
+Epoch 0: | | 38249/? [6:02:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 38250; scene = ['5f9a86b7e44253fe', '4bb2c640159a3265', 'bab67c28f4d7c51d', '62e6b50e1a7d0800', '5792c9e2e44b905f', 'a66645498ef9d1cb', 'a50b756fe602d465', 'e1156a11a8fd878f', '5d890cd9c0c1a914', '9545530d8990fe16', '36cc03a02e240074', '937b5aa2a14d6fe7', '94a380cd813f4f2e', 'efd029ba74d35034', '905022e04c9c37f4', '35a4da1b96cb6e60']; context = [[9, 95], [1, 62], [3, 59], [37, 85], [56, 127], [28, 93], [87, 165], [44, 103], [17, 81], [36, 111], [4, 54], [174, 251], [63, 133], [90, 139], [157, 222], [7, 88]]; loss = 0.032893 low_pass_filter = 0.300
+Epoch 0: | | 38259/? [6:02:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 38260; scene = ['5751251801d5eb33', '5888770aaa4a968b', '211b3170fa4a2ead', 'c184945b52f9fdf3', 'a39e1687e44f7eb3', 'de05d4ed34195978', '53c54932758974ee', '80e41e132e60ee48', '8b95bc9e3b662617', 'e5adde4cd7cfdeb0', '4fed0ca3762d9020', '5b357eed900357ef', 'dc3fe6f0dd9c89fc', '65cd58dfb9df8a99', 'd9f4d087b09b5361', '398387e65925128a']; context = [[4, 90], [2, 48], [46, 123], [21, 108], [81, 160], [106, 168], [132, 209], [0, 88], [16, 61], [25, 91], [27, 99], [20, 66], [1, 71], [140, 198], [0, 70], [7, 77]]; loss = 0.028986 low_pass_filter = 0.300
+Epoch 0: | | 38269/? [6:02:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 38270; scene = ['0296dcc56c7fe3a6', '57859a70dfbd78d4', 'a9661ea3b30c456f', '6e1dfabb4d26383e', '67d8efc474193da2', '7b2603917973d2f5', 'f4102be87181dd18', '2edc486cc51c35ea', '3c5f2dae4dc0f519', 'b78e4f69840305e4', '36507b11801b86de', '9eb60828bc0f9e76', 'ea2d0140f0f46e20', 'f558b34b75640e97', '61eea10a6fb8003a', '1b6097e0c8ffaa23']; context = [[89, 175], [79, 145], [1, 78], [45, 120], [6, 55], [41, 104], [15, 86], [97, 156], [8, 76], [6, 95], [5, 92], [10, 100], [11, 96], [11, 65], [15, 76], [0, 46]]; loss = 0.025610 low_pass_filter = 0.300
+Epoch 0: | | 38279/? [6:02:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 38280; scene = ['1aa5fdc9ff855ee2', '380aa8c6d47a59a7', 'ba7019268cbd976c', '62f79fcf48f937c2', 'e1be2aa20daed815', 'c1cfcc23c1021480', '02f844373f2dcf3d', '17750427061a4a28', '3b389949b6964f37', '6df94ef3de5df0fe', 'a00305605d2ceeb3', 'e0b4ad7fb2e9cb8b', 'b3a5ee14b9f4d355', '425a6346d7e791e9', '23f3accd6282355b', 'e1389d013972ecd6']; context = [[8, 58], [10, 80], [66, 134], [1, 53], [22, 102], [11, 63], [0, 45], [3, 62], [149, 236], [6, 65], [32, 108], [180, 229], [65, 150], [154, 216], [2, 59], [52, 127]]; loss = 0.031415 low_pass_filter = 0.300
+Epoch 0: | | 38289/? [6:02:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 38290; scene = ['81c70e9ef4cc4b19', '40da5b52f6446644', '3244c1a0f0a62eb9', '6480aa85c5591f86', '794460d142973b66', 'f199ea57262f903a', '4a22f1f57ab31b3d', '8130930ce3ad5095', '87bb3dd7771d81bf', 'e2edab5b52966c17', 'a2d98d79eb90487c', 'f86fc98cc4793b7a', '519f68765cb5c6cd', 'a448d0b2c57603ca', '3d4066bca07d103e', '52701bf4a3f2a21e']; context = [[6, 51], [21, 70], [20, 100], [35, 102], [9, 73], [2, 57], [79, 160], [3, 67], [37, 89], [9, 95], [220, 272], [20, 83], [21, 74], [70, 121], [47, 120], [2, 92]]; loss = 0.027201 low_pass_filter = 0.300
+Epoch 0: | | 38299/? [6:02:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 38300; scene = ['09dc6ab625b8300e', '5502f11f9b3165ae', '873c3591f993adff', '2d410cc9d20b6526', 'b5e621584bcb03f2', '306235ebe8d8ace2', 'b94a189b3b04d1d9', '1a72762814407117', '22c80320c49a62a6', '310afc09b784c10c', '2d9ad09dfbbccc5f', '6c86fd352266b6f4', '4cd3e0c8f6a3b954', '2ba4ac8ad33f2604', 'a83f3746a11e572d', '7570e1000b6f66a7']; context = [[156, 208], [2, 62], [6, 55], [114, 169], [158, 233], [47, 92], [120, 210], [13, 101], [47, 104], [31, 103], [103, 178], [62, 135], [28, 97], [42, 113], [12, 100], [5, 77]]; loss = 0.028179 low_pass_filter = 0.300
+Epoch 0: | | 38309/? [6:02:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 38310; scene = ['aac89cdc7ac8f36b', '21d2fbc452f9d9b0', '7b2c118f021e6902', 'd8ddebbd5a79364b', 'dea5bd0f77069f72', '8ac83ba3156df8d9', 'cc8ca5db181e8bce', '321daaf7850e7d74', '6d70eee02ef9d6ff', '0ea852338a77c84d', '53db70b63ac3990c', 'b789c7458ec68143', '5961c0e76030094e', '65cdd012231a757c', '7400bbcba57af668', 'fbe8be1f434b7471']; context = [[1, 54], [12, 84], [0, 89], [25, 84], [26, 91], [59, 143], [4, 62], [144, 190], [25, 79], [2, 86], [67, 120], [16, 69], [2, 48], [129, 177], [196, 268], [21, 76]]; loss = 0.029131 low_pass_filter = 0.300
+Epoch 0: | | 38319/? [6:02:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 38320; scene = ['e77c01e0ab1921c1', 'd71019be54a08db7', '9ab0ecc80a10e445', '652a39baa0e151ec', 'a0df9a0b37424a6e', '5f45abde2f26cca7', 'ef7ea43291e530d6', '6332f7f499f99c67', 'ba5ca3690fdd8da7', 'fb774f1f577b648d', 'ccc47e61ed316fdc', 'a6ec4571131be6da', '629c6f1eb4c7af9a', 'ebb2ee0fdf9adb4f', '509ba1d49682702b', '4bb48481c6ccd349']; context = [[25, 76], [6, 59], [60, 114], [11, 80], [74, 152], [13, 63], [80, 156], [123, 178], [16, 63], [31, 98], [13, 60], [38, 94], [27, 76], [0, 61], [28, 90], [60, 142]]; loss = 0.025639 low_pass_filter = 0.300
+Epoch 0: | | 38329/? [6:02:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 38330; scene = ['d3d18ffce48db33a', 'eaecb3583a0e7681', '0ba3e47b99c04772', '21d7dc078fd4db7b', '386013ba48e47be6', 'd5f11c320ee101a1', '15b8f7652036db12', '0f66c9d3be156d56', 'd02327b51b3bad30', 'ed56fb0a3324c8cb', 'fe6b9b80b0e6a8d6', 'a0f0af3e118b6ca6', '37c605799e313a35', '307fdf75dc5b08a1', '44f828162649e72a', 'ca553e70eff3aa6f']; context = [[103, 165], [48, 94], [17, 70], [67, 132], [2, 81], [4, 57], [1, 90], [58, 130], [22, 76], [128, 201], [68, 122], [40, 97], [25, 81], [1, 81], [13, 64], [87, 172]]; loss = 0.023643 low_pass_filter = 0.300
+Epoch 0: | | 38339/? [6:02:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 38340; scene = ['ce40041f37ead09b', '2ac51dbf19b5dbbe', '2ae404c6c17b0005', '01bdfa97c1000a13', 'bf457ef05a5ff4a1', '3603128f53a4ed0a', 'ca06cf0769f7e5e0', 'e4ad4dde56a72877', '94e15ba487af3b15', '1b93bc7434a952e7', '1fb84b400b0eeffe', 'c23b2d4d5e14e6cb', 'f6a6729072b2b2d1', '4b081e386dc80130', '6030f480148fe616', 'f5389cf7168ab81c']; context = [[18, 84], [125, 190], [77, 141], [94, 158], [35, 87], [7, 77], [6, 71], [62, 116], [87, 163], [76, 134], [1, 48], [4, 62], [21, 92], [74, 135], [37, 97], [94, 173]]; loss = 0.024105 low_pass_filter = 0.300
+Epoch 0: | | 38349/? [6:03:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 38350; scene = ['79b1727c09334183', '6db9c9051381e481', 'f5f2f8e0a64aa0e5', 'f5b92161da94c240', '9a65556aae220044', '3dc96c1bb9abb3e3', '04304e68415ce356', '0e36897986bbddeb', 'e769f586e71e7aed', 'ac7fcd213168a999', 'b210d0377ab51282', '91c58367dea67871', '707532eae3641c9b', '38b203b44b7b4f57', '7b4006c02dddd695', 'fd121f0c77ac0c01']; context = [[0, 60], [202, 252], [95, 162], [7, 86], [44, 99], [2, 50], [70, 140], [1, 56], [106, 182], [3, 74], [6, 64], [31, 77], [52, 135], [6, 77], [35, 119], [166, 221]]; loss = 0.027744 low_pass_filter = 0.300
+Epoch 0: | | 38359/? [6:03:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 38360; scene = ['33bf51a57dd21baf', '9bae213a2e0667da', '29afe36e4ba597f5', '97d48083a9c554ef', 'fb9e93054db6ebbc', 'c0a19ec78a7ad15b', '17182e5c481e14f1', '3e0497b3be34d492', '4e2fbc828c9fe2bc', '8f7ee093c756747f', 'c9ae81970b7075f0', 'e59c541c3c0cc68c', '1d6ed861c30a6c05', 'fbc40b507a2ef712', '38d17287a2d1b35e', '76bb3998ec399bef']; context = [[11, 64], [15, 80], [8, 67], [4, 60], [178, 247], [10, 60], [3, 82], [126, 196], [0, 51], [29, 86], [24, 88], [41, 125], [0, 68], [0, 74], [1, 78], [70, 146]]; loss = 0.026663 low_pass_filter = 0.300
+Epoch 0: | | 38369/? [6:03:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 38370; scene = ['3f1a1e582e8c1158', '5013ce0333bfd2cd', '1c0f40cd04838650', 'a4c42be1726162f2', '7ec6f68e6166c5fb', '32936b5443076f5c', 'dc31972ed0e1d8dd', '1a1b424f93af5432', 'c28f5b0713ea8927', '807f25b62e86034b', 'e6c1977d9abd484a', '56de6aba69f7562c', '331108af4b30ad2e', '6e77ffab3e66c017', '4d3b87ffc55d9047', 'e8a0e1bd17e1c957']; context = [[85, 150], [14, 84], [55, 118], [11, 88], [39, 101], [17, 64], [204, 253], [183, 241], [28, 115], [59, 108], [11, 61], [26, 77], [4, 71], [15, 64], [1, 62], [52, 111]]; loss = 0.022819 low_pass_filter = 0.300
+Epoch 0: | | 38379/? [6:03:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 38380; scene = ['c3edf21323a1d24e', '2c6682e7b1e7b23a', 'f1c8dd3eca2368c8', '655505b3d15f6b6b', '28e273483a56fa47', '163606f5e088b2fe', '0ec17f60d1888068', 'd459f0fd6844dd6d', '821f8ab7d10fc4e0', '5f35ea53af8b7e22', '2f53f8fe1635c1e5', 'b3588b0f47be9ff1', '81a9db37de0a1549', '8e096002f3ab8224', '994f9c166991e13b', 'e9cdab9a58781c2d']; context = [[175, 237], [1, 46], [0, 69], [205, 259], [25, 113], [24, 113], [0, 52], [186, 244], [116, 163], [32, 78], [26, 78], [27, 78], [39, 117], [5, 74], [25, 102], [32, 84]]; loss = 0.024951 low_pass_filter = 0.300
+Epoch 0: | | 38389/? [6:03:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 38390; scene = ['70e86544c1e2ad3d', '0b0fe0d86da5a167', '52e9a293d9566f9a', '952e9e79dc92e39f', '3f4429a8249539b8', 'fd76f881e1223b09', '20a8dc93cb5c0703', '57dbeb44c9b27b81', 'a98ec507d448dea2', '64a14ca4bf94dc9e', 'b9ecd877d8a6c110', '40873337bb9786ab', 'c66acaba1dc7c1e3', 'b3948b46c43ce90f', 'd4e63c1413deec70', '34257fbc9a1044bd']; context = [[8, 95], [9, 63], [0, 85], [0, 85], [100, 154], [5, 91], [107, 159], [102, 155], [13, 69], [15, 82], [5, 56], [0, 74], [97, 144], [129, 203], [42, 129], [1, 72]]; loss = 0.029558 low_pass_filter = 0.300
+Epoch 0: | | 38399/? [6:03:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 38400; scene = ['b336064ab40baa9f', 'dd9b534218aaca38', '872186db8bd1c38c', 'af6f104783d5dd99', '96e97b817621a36d', '4f7e0130b1068114', 'd9e9cd2134b9d66a', 'dd64afc2f397641c', '0f6c5c6a7157b7f6', '145da22a89e0ae0f', 'c379d1f2aa883b74', 'dfa9b3fdc5798a43', 'cf7c0bb5089abf7a', '0f54778155d5fb15', '1c9d377f12e3bf79', 'cf54dbbf8815ad08']; context = [[21, 68], [83, 156], [3, 82], [70, 126], [6, 68], [22, 79], [31, 96], [51, 131], [27, 103], [74, 130], [24, 70], [2, 81], [3, 68], [22, 75], [15, 70], [47, 123]]; loss = 0.026205 low_pass_filter = 0.300
+Epoch 0: | | 38409/? [6:03:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 38410; scene = ['41043e181f5377c9', '912281b34d2c3a9e', '796ff6ded9b7805e', '4e51bd2f1763a84a', 'f08604329e31902a', 'e81ebff3e97d4e04', '00182dd4c74ab052', '3163b94a6d8ffcfe', '5a5a30f1279f5d73', '3bddc5d804941402', '0c21d34b9d9529c6', 'e2795d1f30fc69b4', 'b153eba06a4a7099', 'bbea50ba46f6ff34', '9212f92c5f6db4d6', 'ff1bcb136ea7651b']; context = [[25, 114], [49, 115], [9, 62], [14, 61], [9, 70], [116, 199], [131, 210], [12, 65], [47, 129], [7, 93], [7, 58], [57, 110], [15, 80], [65, 112], [33, 101], [2, 65]]; loss = 0.026272 low_pass_filter = 0.300
+Epoch 0: | | 38419/? [6:03:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 38420; scene = ['323bdfae8bc5f180', 'b4e91f9bcd03f6c7', 'e3912708738ed398', '38f50a03d51f7cd4', '04334b719bab18e6', 'c6794c36c3f5b9e9', '8a438bb1aedc93f8', '0c2c68a63c6abd0f', '6dc467961a80bdfd', '345208e1ad0a1f4e', 'f6f9e1143d780e3e', '0e4fd48b69609a3b', '1d34b5ace7d314d4', 'cf53d87ab9557801', '4d93b0a1d23b35e1', '6bac9522dd9bf619']; context = [[15, 74], [72, 140], [3, 54], [65, 116], [5, 69], [12, 91], [96, 173], [103, 155], [24, 86], [41, 89], [64, 138], [33, 86], [27, 76], [51, 134], [72, 135], [13, 64]]; loss = 0.026297 low_pass_filter = 0.300
+Epoch 0: | | 38429/? [6:03:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 38430; scene = ['3fe42e802362cbe4', 'd966e7c0739c36a8', '8c058dcde89e65b1', '829c847536f4ed7c', '93211c8c0ea19307', '2a5388604c40e212', '7ad5e90fc8434219', '6465050cb3142bb6', '9db124880f8d78ac', '6897a323d67edc41', '9c9b04a677060b5f', 'a27aaba0c4a2b558', '0eb3fd35dea6dea0', '501c7fced48eba59', '4cc30df9ffe2c183', 'a39df60612b60375']; context = [[130, 176], [10, 62], [4, 82], [3, 67], [16, 95], [44, 90], [140, 185], [6, 76], [77, 132], [10, 87], [23, 105], [2, 56], [35, 113], [0, 70], [0, 70], [64, 114]]; loss = 0.026158 low_pass_filter = 0.300
+Epoch 0: | | 38439/? [6:03:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 38440; scene = ['b053f2ffb587f61a', '80dcb25162875c87', '302cb40ec3d8d382', '877669d82404076b', '3b88293ca7f95129', '51efd34095f8e02f', '5510993fdf653e73', 'a5472b8884d218dc', '78bb6b90193e06b7', '414c283b07ec72bc', 'e3008ddbedfd257f', '3ecc9dbeec2451f0', '227bf499869cf372', 'c1067c28947eb908', 'a6d8c29cc124ba06', 'a3c290d59ba3d57e']; context = [[99, 151], [94, 149], [1, 58], [3, 53], [144, 208], [7, 94], [139, 205], [2, 76], [3, 64], [23, 97], [28, 84], [29, 96], [8, 80], [0, 50], [6, 74], [4, 77]]; loss = 0.030593 low_pass_filter = 0.300
+Epoch 0: | | 38449/? [6:04:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 38450; scene = ['d41a1962fa962d97', 'a2c1e912a4cb686c', 'd15bd6b9d047eabc', 'f9efbd129bac6209', '030091ba69ae37bd', '72de1e94d9864184', '489033bdcaa98fdf', '9733c922457884bd', 'bd77b6ee00143f9d', '4539ac4b4cc5ddb8', '854536a1d912b596', 'e0810bce9eb04d63', '58cdd230b4f5b590', '513826433660cb1c', '50a188daaccbfe3a', 'e5f41c9021b0b7c1']; context = [[11, 66], [35, 86], [1, 47], [9, 72], [4, 70], [13, 65], [12, 78], [2, 75], [65, 154], [4, 66], [85, 148], [74, 144], [19, 101], [33, 104], [32, 101], [149, 223]]; loss = 0.031012 low_pass_filter = 0.300
+Epoch 0: | | 38459/? [6:04:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 38460; scene = ['05f20de3b10dba9a', '883829eacd223cd3', 'e6f3acdbe3c6ec77', '4514a5c68e922b2e', 'de5c7c6d409b1972', 'be32cdc488ce00c8', '3e568ab74fb51248', '1e946a362b6b9ca2', 'b69e804602b55e82', '049782b6f061709a', 'b23bded8b95915ac', '14865449e509b130', 'eed7e480a5e88553', 'a0c40378636aecde', 'e4b7df0920724ef1', 'a895d0e5fbebc994']; context = [[0, 67], [80, 131], [13, 60], [5, 56], [21, 95], [36, 113], [49, 110], [9, 65], [79, 168], [3, 87], [30, 120], [32, 121], [0, 74], [113, 190], [76, 140], [6, 57]]; loss = 0.024351 low_pass_filter = 0.300
+Epoch 0: | | 38469/? [6:04:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 38470; scene = ['5ce7ff2707b0c558', '90beb28f8720f849', 'c75dd6b151fc618c', '0b8049e94cc33a66', '5c047522c1e8764a', '86168d9408d50c1d', '39fa6b21b5a2e65e', '70b6c45280496e84', 'cb6a581957b0a925', 'a7fe1e367a54260c', 'e970eebc4848850b', '6b30b0a24f895314', '34fb19cc7ed5b0f9', 'a1f824e305dab929', '7b7be5f8bfa1173e', '7452907ecdaa8596']; context = [[76, 128], [98, 184], [30, 91], [44, 125], [94, 163], [17, 65], [18, 88], [2, 60], [36, 119], [16, 83], [175, 259], [63, 140], [7, 97], [33, 78], [4, 57], [67, 137]]; loss = 0.037579 low_pass_filter = 0.300
+Epoch 0: | | 38479/? [6:04:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 38480; scene = ['9078703d92dc9e6e', '773672fa68feb0e5', '2b63dc474251e9fd', '64b638b1acb1c95b', '66423787a1b22e65', 'a5f7d3b8bbecabc1', '72eb2027396a78a5', '5bb4e27b60277cd5', '4aec5927198a97da', '6dc067e7269aeb1d', 'b3085000c9240eb6', '935f4b6c00b58135', '1572c4a6a6b91f35', 'e708d0f905809672', '99cbd88e83b13402', '3763e33c77859f9f']; context = [[8, 96], [7, 77], [2, 76], [0, 73], [6, 58], [11, 67], [104, 179], [26, 110], [20, 96], [75, 134], [15, 74], [41, 115], [6, 70], [43, 127], [13, 80], [153, 208]]; loss = 0.025675 low_pass_filter = 0.300
+Epoch 0: | | 38489/? [6:04:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 38490; scene = ['44471b1ddc8a21a3', '04d96fd21593f793', '422be740e4324b2f', '6d927b71b6530129', '2f3f9d1ca227e778', '8db618240a07e98c', 'bf69ec4556155b9c', '3b0dc213d9bc07b1', '165b637923e5e925', '9d73ce3d387b1c91', '72a3dac21cc5a55d', '42f21199800301a7', 'ad1c283e94360f3a', 'b0413d361b4e8abb', '27159dbf7b134cd9', '2eecc3ba2abc668d']; context = [[39, 106], [12, 68], [1, 55], [3, 59], [0, 58], [4, 52], [125, 192], [15, 62], [17, 67], [1, 79], [6, 54], [91, 156], [3, 61], [10, 84], [52, 104], [78, 124]]; loss = 0.021058 low_pass_filter = 0.300
+Epoch 0: | | 38499/? [6:04:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 38500; scene = ['adb394a7cad27fdc', '56831578d232b718', 'c4bf2152a0e7adaf', 'c3278a0759c29f0b', 'f247f6af52790472', '802520a7ddfd5f22', 'e0e1b530ae7d694b', '1be6fc913f1d123e', 'cae8b53dd676ac7b', '7dd0a696ebe83c1f', '22d6b729b80a9bd2', '1e70c4bee94d800a', '46878ea8715f1d72', '407c2d31135c10d1', '5c9b1540859a5ba9', 'afa22fdd147e61bc']; context = [[33, 80], [1, 48], [66, 143], [4, 71], [93, 158], [10, 79], [24, 69], [80, 126], [99, 160], [4, 92], [3, 53], [29, 99], [50, 129], [0, 75], [124, 173], [20, 94]]; loss = 0.026489 low_pass_filter = 0.300
+Epoch 0: | | 38509/? [6:04:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 38510; scene = ['f9f240e5d3cc903d', '2649892c4c56166e', '1f03faff350d4b59', '2b03daae55bca39c', '24397127377dbd81', '01166cb4cefb15d1', 'd2a67d5d2d55a04f', '7e5deb9e81477190', '464c4320ae4c4834', '8e301c50431da386', '669a73d1c2d378f3', '315815aa98415073', '262a536e25e2ae43', 'd59ab97b03d1164a', '79f4ef188c1f0a3d', 'd47a86be435af29d']; context = [[2, 69], [33, 123], [2, 56], [20, 85], [15, 65], [38, 103], [7, 58], [0, 64], [102, 166], [15, 105], [115, 161], [25, 81], [183, 262], [0, 46], [32, 82], [23, 94]]; loss = 0.030491 low_pass_filter = 0.300
+Epoch 0: | | 38519/? [6:04:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 38520; scene = ['d297538f14da1f52', 'f4e169b7394250b0', 'a8a2445b40f0ee30', 'ccd70d500f2e2bc9', 'e6ec55219ebe382e', 'c83fa4955ce845b6', '43bd98a947ea61ea', '8e3a30de58a7c09d', 'de3367e68290586f', '8b9263af01b07969', '68c475f64bd7d97f', 'da00eeceee79149a', 'f69c13c057282656', '6a2eaa760582f0bb', 'cbc078aa6b6fd707', '3c7e0966e4a6ea3a']; context = [[141, 198], [121, 197], [97, 181], [30, 90], [7, 54], [81, 128], [0, 60], [11, 87], [61, 118], [22, 80], [12, 92], [6, 95], [0, 72], [101, 185], [3, 69], [29, 117]]; loss = 0.190324 low_pass_filter = 0.300
+Epoch 0: | | 38529/? [6:04:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 38530; scene = ['41c4920e80cd6202', 'ff5a03ef6c90f076', 'cf55e72770ea7333', '51dc9115efef2cee', '04f2bc5f16d4cb18', '52c9ffc4ef2a36f4', '2f077fd02b5beef3', '6d6eb353e0bae93d', '97c933ec95dccd16', '43c384625028872e', 'c93a9c352e932c3d', '66e596d7d9e69462', '58a22a9b8905283b', 'fae6b0485c4b48ac', '525ec471352552ed', 'aac681d019b30c56']; context = [[144, 210], [19, 84], [44, 106], [2, 68], [5, 84], [14, 69], [0, 51], [9, 70], [144, 216], [31, 84], [68, 125], [12, 84], [6, 96], [1, 48], [68, 121], [0, 70]]; loss = 0.029719 low_pass_filter = 0.300
+Epoch 0: | | 38539/? [6:04:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 38540; scene = ['a791ecc75f3cc01b', '26ef384aa1780815', 'e9e3e7a7b80eb5a4', '38c67fcd3b8e4f8a', 'f35c7fc7d001fc2d', 'd5a0aa264159a278', '53dc437d11e76ef6', '514db696ec759153', 'adbc22a988340ea2', 'd91dbf0156e0e69d', '0b4748c575a0b84e', '5ad0327426e3718b', 'ac2fc17a4de90b7b', 'a1dff9c50d92dc9c', '4bede15a09bd44bb', 'c837242a35ebcdd9']; context = [[2, 76], [6, 53], [97, 164], [82, 134], [0, 50], [13, 65], [1, 60], [2, 53], [5, 91], [25, 95], [24, 93], [55, 112], [6, 70], [39, 118], [17, 74], [171, 236]]; loss = 0.025664 low_pass_filter = 0.300
+Epoch 0: | | 38549/? [6:04:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 38550; scene = ['dee5a241fa290209', '2b6d2569e7101687', 'a2aa880feaa2168f', 'd77956ef6cbdf5fe', '16871758b1831d59', 'bf0fa530693a0482', '872c81315122fce4', '6be29a69562abd4f', 'b7e36b19a7b16f6c', '8ce50844cac30a9b', '666c37ba7ac3085d', 'f84512bfae8c1a78', 'e5d56dd99ff3624a', 'd1655dc2aa093510', 'db9459595f461e15', '0db71132ccfdfa95']; context = [[40, 99], [22, 72], [9, 63], [72, 135], [42, 108], [6, 79], [53, 135], [6, 66], [127, 210], [9, 94], [58, 106], [27, 82], [5, 86], [61, 134], [25, 100], [0, 59]]; loss = 0.063057 low_pass_filter = 0.300
+Epoch 0: | | 38559/? [6:05:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 38560; scene = ['d86be83d7ba25a00', '800720e5d4d35cb6', 'da3a15bb1c3fb690', '9688eb18c8d557ef', '94fdc5c3dae6de01', '4bcc311e9b1e6330', '379ceee32c6d6868', '394ff4dc450c55fa', '74ead515131ddd0b', 'a1fb990016d7b3af', 'b833a0a3ddf1f7cd', '3d4b9b728d676007', 'ab1c5358d3bb05db', 'f29f238654d44358', '113a7c672823203b', 'a7b3b1f8ad45f902']; context = [[77, 163], [17, 67], [8, 55], [7, 94], [56, 112], [13, 70], [17, 63], [6, 57], [96, 143], [83, 146], [9, 92], [6, 57], [29, 113], [29, 104], [10, 70], [42, 94]]; loss = 0.020928 low_pass_filter = 0.300
+Epoch 0: | | 38569/? [6:05:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 38570; scene = ['2b2b8845427d1744', 'b1f0ea674605ee53', 'f49328cec36f3426', 'ea288350ae9b3e13', '24a505e1ad056ff9', '41260f3b4a9ce069', '026392b9abf82eb3', '83aea888bc500502', '64cc6af0c7229fb1', '7dc6d699abce873e', '7c8c185289523ea9', '568ae0add45d8ede', 'a57b68e727904b76', 'da3a7d1f910a33c0', '0c123644d205edbc', 'e7ec28035f8bde77']; context = [[22, 104], [104, 155], [75, 162], [29, 92], [52, 120], [39, 99], [74, 137], [5, 77], [37, 113], [15, 77], [76, 140], [1, 66], [172, 240], [202, 261], [23, 88], [120, 179]]; loss = 0.026657 low_pass_filter = 0.300
+Epoch 0: | | 38579/? [6:05:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 38580; scene = ['74d65792ca14e978', '12e7764d11953827', '6994285e81ff9803', '52b984bea1f78ad6', '37fc78ec8f502ca8', 'ac5159b7b9d8ab53', 'd7ea3145a7a8262b', '3d5b0940a28bb67d', 'ec34f19ec97cd536', '06d29a52b4aebfbe', '04635aa0ab8b1be7', 'f9ba6c7965a9d01b', 'db7a639eb376d2bf', 'a8f03ba94fba80b7', '4994f79523443d28', '3f771cd05baf3191']; context = [[26, 88], [5, 73], [204, 276], [2, 52], [3, 84], [195, 245], [27, 105], [0, 78], [219, 266], [212, 264], [18, 69], [84, 156], [54, 133], [183, 230], [6, 60], [11, 78]]; loss = 0.105125 low_pass_filter = 0.300
+Epoch 0: | | 38589/? [6:05:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 38590; scene = ['f7dbc855fd2a7669', 'a328bb24ae1259b7', 'cb9ae86a49f95f34', 'fbcfae0d07f3840d', 'fd92fb298b944a09', 'e7129afa3f20fb38', '6f349cede66a597e', '48f502df70db50e1', 'a5175255a7a24781', '937835bf008447ae', '9e739ec1a8c7aece', 'ffb0ecd62200e136', 'dad145ce35ad0e54', '21268abbbc575fc9', '7e1f1f018b3493cf', '57fadd61d10ba765']; context = [[150, 211], [2, 59], [2, 77], [15, 104], [4, 80], [74, 155], [12, 65], [129, 200], [3, 56], [4, 50], [9, 67], [16, 82], [192, 273], [2, 66], [9, 64], [61, 127]]; loss = 0.028334 low_pass_filter = 0.300
+Epoch 0: | | 38599/? [6:05:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 38600; scene = ['c10a042037a5a120', '0016d89da2d78196', 'db9bc0ff275d4fbb', '4308154957c1ef63', '3a3123960a5b3070', '314588c4ee5d31ac', 'fb9c7ba5d2ee795f', '1fe53207ba36202a', '7016fc88f085f2bd', '2b51afd20f93fbb3', '50ebba7498d9b389', '4a36de0119c93c8d', '2422896efc729d12', 'bc38d6696f19b9f5', '2cedb207ea3ce853', 'f4c2db072efcdcd5']; context = [[0, 77], [22, 80], [51, 122], [2, 55], [108, 163], [148, 230], [215, 271], [31, 103], [29, 107], [15, 99], [2, 85], [4, 93], [13, 63], [55, 138], [86, 166], [5, 65]]; loss = 0.023821 low_pass_filter = 0.300
+Epoch 0: | | 38609/? [6:05:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 38610; scene = ['605455dc5f1561a3', '807743b71b28c82d', '42dea626cd0ca095', 'fa7f56093254350e', '40db90425440c8f1', 'be3bf9362857bffe', '433f5fa510755d52', 'e814b7a50ef25565', '87ffa8d57c4da273', '56341c49ed4564be', 'ba7783d6a7fcb47a', 'bae81f88d95d39cc', 'c7382b0e60e415db', '3fbcb0eef93e818f', '3061dd6569af7ef4', '0744c33d52be47ea']; context = [[0, 78], [6, 62], [27, 73], [126, 186], [11, 88], [86, 137], [35, 115], [8, 70], [2, 68], [2, 50], [2, 87], [32, 87], [27, 79], [44, 101], [197, 263], [34, 94]]; loss = 0.029887 low_pass_filter = 0.300
+Epoch 0: | | 38619/? [6:05:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 38620; scene = ['2646d83461154ec3', '225ec5b5ad4348ee', '153eaa9736e1ca70', '67e22aa65b4f6788', '0bedd8283e10dbe5', '072767a69a49c614', '423f10ac7cd3488d', '5ce7ff2707b0c558', '5b6d2302ce6b01fe', 'e95581a829bf8d7a', '17dbc5c57640cd6e', 'e1b54662af9ed7a8', '0635a3619c622723', '165bd1ee2bde617c', '135cc677e20df588', '873e47aefa88e8cc']; context = [[2, 51], [14, 60], [5, 76], [13, 67], [21, 93], [25, 105], [8, 63], [20, 87], [4, 51], [2, 55], [0, 45], [90, 140], [11, 81], [45, 124], [10, 84], [12, 69]]; loss = 0.023103 low_pass_filter = 0.300
+Epoch 0: | | 38629/? [6:05:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 38630; scene = ['a606b81c87abf278', '44f6e9771c1d32c4', 'd247d34d7515d1cc', 'daf44b5f84ad4509', '89eebf1d7befa3d8', '56ad056b9b6bf22d', 'b2b7ba2a00b3c623', '7d454aa1c9674e38', '922a0e455b8fc98e', 'a42750e1e0a3c9ca', '90394a4c6c156fed', 'bb5ac676de37d914', '940334dc257b987d', '2c0ba42bfa8fbc37', '4259a1201cffe536', '369b2f3131355338']; context = [[58, 115], [60, 112], [11, 60], [1, 63], [11, 95], [186, 249], [20, 68], [14, 101], [5, 84], [82, 151], [75, 150], [65, 133], [5, 73], [84, 165], [124, 213], [9, 85]]; loss = 0.024607 low_pass_filter = 0.300
+Epoch 0: | | 38639/? [6:05:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 38640; scene = ['4281c9c2d1655e67', '786d4e8a8c162c2c', '893335afc78c8685', 'de665a63685bdac5', '230dcd170cc900ae', '0777febffe7c2d96', 'e3bca018a714db69', '817e228e9c74d745', 'bcf299393ee2171b', '90d70bc4c159efe2', '918bd53dd8ca7271', 'f7c3b63d80925cd4', '794a82e0519160c4', '43e6289d0f0921a5', '035cd2c68a13badb', 'e0da837e447b83f9']; context = [[42, 91], [41, 108], [2, 51], [116, 203], [142, 229], [72, 121], [64, 133], [7, 53], [182, 237], [0, 64], [2, 79], [19, 80], [1, 54], [13, 69], [5, 95], [27, 114]]; loss = 0.027089 low_pass_filter = 0.300
+Epoch 0: | | 38649/? [6:05:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 38650; scene = ['67bbca5ca2b592f3', '6aaa7af7f3dee05d', '72fe17fddf456267', '117d63f349b7f003', '7a3631bffade5208', 'ffdcee7874d392e6', '44abee0bfc90b727', 'eaa05e17022ae6a4', 'e3f5ec15ba54a781', '70f1460f310d6d19', '18089952e3a38f64', '256ad978b0adf10a', '4f584c95a2be7130', '6cf2b121b6eab09e', '8ec88b1dcf6d4c3d', '2d8b785151360d84']; context = [[11, 69], [35, 123], [47, 137], [24, 69], [50, 110], [2, 60], [18, 67], [46, 113], [30, 85], [21, 71], [177, 234], [0, 68], [164, 219], [1, 61], [8, 84], [8, 82]]; loss = 0.027393 low_pass_filter = 0.300
+Epoch 0: | | 38659/? [6:05:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 38660; scene = ['68530d6f86185a8c', 'b1d7993d7dd6af3d', '8dad104fd0058819', '873b6566b29196f3', 'e2780aeff94be39d', 'de2118e0b2974196', '8d050a45c7deba1b', '0d67b5add85d8684', '118d4b84db5dbeed', '185019797e58d521', '900522b1f171d2ad', 'fe90475a8c70802c', '216132a3ee19edef', '764c6a2e15e46440', 'c773a533e1a0fbbd', '0f18776cffbe3802']; context = [[35, 82], [0, 51], [92, 161], [2, 53], [76, 148], [20, 75], [1, 68], [9, 54], [56, 105], [47, 100], [54, 124], [42, 91], [52, 102], [3, 79], [4, 74], [94, 139]]; loss = 0.029536 low_pass_filter = 0.300
+Epoch 0: | | 38669/? [6:06:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 38670; scene = ['6e6f37de00e1e71c', '09a9318f816e9e94', '7494321c3072dee2', '45c4835dc9aa75d7', 'f87ce92888e66e81', '53bfc2d4fcbda5b4', '02d71d6b56b6820b', '8734c4ed51cd8e4a', 'd8b33393fd79bf04', 'e4768398f07dde24', '9adbddc46e878d03', '5df06dbaf3a4730a', 'f42f16681789b5b9', 'bdf0bfb2f2c6c21f', '202edd3a4f885db8', 'bffecb5bc5547b20']; context = [[40, 93], [193, 271], [13, 91], [9, 68], [43, 96], [14, 69], [5, 58], [37, 107], [113, 191], [68, 122], [96, 170], [58, 105], [2, 64], [0, 48], [21, 100], [162, 226]]; loss = 0.098086 low_pass_filter = 0.300
+Epoch 0: | | 38679/? [6:06:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 38680; scene = ['bb8acf263524a1dc', '415c859644b04b77', 'c784257ad6d70434', '7802eeae321b649b', '5bf246ae755db358', '70a6e0c50b932926', '599ee2707ffe86d8', '0d9b2d55b1a56943', '6a06b29373391c2a', '963b4755148b46f0', 'af273a69275eafe8', 'a142901b8a2421ed', 'e228a6735eb00c28', '5376bb67b77e8b59', '57b5268c98e7308f', '2004d220029debe9']; context = [[45, 97], [6, 57], [18, 99], [2, 91], [27, 90], [35, 84], [16, 63], [15, 101], [88, 176], [68, 143], [94, 165], [154, 217], [8, 74], [3, 51], [60, 130], [11, 93]]; loss = 0.030354 low_pass_filter = 0.300
+Epoch 0: | | 38689/? [6:06:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 38690; scene = ['fcc7db4ad1f2444f', '6ad946dc7c7a5ae7', '8ec32dd001a2b529', '9dace42deebd482f', 'afbf21db765f449f', 'cc0f96cc71a6dd66', '129aa9e63c248582', 'eb864005eb96e04e', '589eca489876d5ce', '96489fd56f875313', '93e3445216c30ff7', 'a84949b9712997ea', '54e1d8770bd097c4', '68e44802abfd01de', 'fea44120298bded7', '74598395cd311540']; context = [[17, 103], [80, 169], [3, 83], [131, 187], [0, 51], [1, 62], [40, 102], [46, 127], [6, 67], [17, 76], [40, 89], [6, 77], [10, 96], [0, 52], [18, 80], [1, 69]]; loss = 0.031883 low_pass_filter = 0.300
+Epoch 0: | | 38699/? [6:06:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 38700; scene = ['4ef6df5a3d7e59af', '7004f37d3a6cf559', '963ffe1f417614c8', 'bca478c2af68d48a', 'a2169d8a42eab0f2', '31828fd2f1e02290', '537ede808cf89571', 'db5bb3e9a305aad3', '04d4ff903a298bcc', '2be5bcc2bfc63d6f', '46cb2ccc95cb0127', '84ce87d555660026', 'c2862c7706ba87ec', '055770d0ed121f92', '26426b411d79a491', '52e4cfe9525c5183']; context = [[5, 70], [32, 96], [74, 139], [71, 121], [202, 265], [32, 106], [9, 54], [130, 194], [40, 121], [60, 148], [58, 125], [63, 110], [104, 161], [9, 63], [2, 48], [86, 158]]; loss = 0.027179 low_pass_filter = 0.300
+Epoch 0: | | 38709/? [6:06:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 38710; scene = ['d78cce7a4c0b9400', '66ca2e899ae0b7fa', '55ac66369fc98064', 'a33114a79197c262', 'ab23d838a90992f1', '4686d80203cd7b26', 'd5df805b0d2fd87e', '03f786b8eb33e189', '040bfec885ae8841', 'e1a001cc971f9549', '4970e1f83ae82834', '8700feb8f22f9e14', 'f4f4b50a47089b2e', 'd9031a7327efd918', '646e639101301454', 'b059d8af02000549']; context = [[64, 126], [75, 122], [118, 204], [0, 67], [4, 65], [5, 52], [13, 79], [16, 90], [4, 84], [76, 126], [31, 109], [83, 138], [36, 110], [80, 141], [74, 133], [185, 275]]; loss = 0.025477 low_pass_filter = 0.300
+Epoch 0: | | 38719/? [6:06:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 38720; scene = ['361d4496a097d956', '093a6f282f63c9f5', '9acd800d5859f181', 'b339086354afb73c', '2ff6d06aad464d0e', '4b0f79a85d644b2a', 'f3fa1b0410bbc27d', 'd4a43140ef5899fd', '99288147cbb3179f', '6b80686260e18b3c', '22c21bc532c93ede', '8f4562de3344b971', '11ac1c29846c8b02', '8e9215441317a670', '1d6990e569725b6e', 'accbf67c9f56fdd8']; context = [[6, 52], [7, 73], [2, 92], [54, 104], [29, 80], [7, 83], [20, 71], [55, 116], [11, 62], [58, 137], [1, 76], [57, 109], [14, 90], [2, 88], [2, 86], [6, 80]]; loss = 0.023967 low_pass_filter = 0.300
+Epoch 0: | | 38729/? [6:06:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 38730; scene = ['1e5cab40fc44df73', '6b7c14e23b21140b', 'f9ce09ac3523fff3', '5449ea452c7e322d', 'b3685a3f8935befb', 'ca0bbc80b5844b52', '16fa6c2a59103bcb', '811edab8b5afc0d2', 'e84e95938d3c87c7', '8e119e7bbc8f86cf', '032414a2811e3530', '670c5094bc0b1e7e', '8ef6b6c6c432d6ee', 'cb7c62276cf4c7b9', '4bb7bdad7604472b', '56d524bdd9fc0e0a']; context = [[6, 87], [93, 162], [4, 93], [143, 199], [46, 122], [12, 57], [6, 68], [7, 61], [5, 71], [90, 148], [0, 68], [18, 63], [7, 92], [103, 152], [5, 63], [53, 136]]; loss = 0.032365 low_pass_filter = 0.300
+Epoch 0: | | 38739/? [6:06:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 38740; scene = ['83e89ce8743d173f', '3d28451476ab9d9b', 'f2924272cc84b16d', 'c815c32d584db109', 'ce6642a1caf5f72a', '9f02bee6ee218516', '7cd557781282258b', 'af418ffab959eb5c', 'ae04205e9b82fb72', '0df0d2b8a2951f0a', 'c9408e8e90811892', 'aa0ed758dda2cd7d', 'c5e6f314de1b56f5', 'e12f36a5b5264daf', '5258d714dbd81b7a', '5979f56b953ff1cc']; context = [[28, 95], [19, 100], [72, 120], [91, 142], [36, 120], [17, 81], [10, 94], [127, 209], [90, 173], [0, 63], [1, 48], [163, 208], [28, 108], [2, 63], [5, 63], [5, 93]]; loss = 0.024441 low_pass_filter = 0.300
+Epoch 0: | | 38749/? [6:06:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 38750; scene = ['cf25e28fc66b11bf', 'ef4ae395daf99f1c', '357bf45f08163f58', 'c002e62e4fadef21', '0ae16be3e6d6b471', 'b77359fd7f8f3666', '258a6cd6f9351454', '9d9bde4f139c0655', '5f9b7e862d984558', 'a0ec91ac8cb3e9c1', 'b6bc3316b07d412d', '2d52b9450f899b47', 'f61c95386152c60a', 'b7d82c5309a92af1', '35bc2aaf03f2a1a5', '4d412ba977218397']; context = [[27, 87], [40, 109], [22, 76], [4, 52], [12, 80], [12, 80], [45, 126], [1, 55], [98, 182], [3, 90], [8, 77], [66, 137], [2, 53], [20, 94], [1, 76], [60, 150]]; loss = 0.031977 low_pass_filter = 0.300
+Epoch 0: | | 38759/? [6:06:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 38760; scene = ['623fb00c73da97a1', '540c39c82ee55c99', '71678161fc3a515c', 'c50bf41a6ae14f25', '8ecf1e4e58a9553d', 'b43104adbdf3b1a0', 'ce39744fa5a6e73d', '46a16b80d7b725c1', '225ee824e3d5dc51', '5d1517dad9f9fbb6', '7341e63a7c77334f', 'bd15cdb6544e4b4f', 'a1a44fdd4720ce4c', '6223a7a4c451dfac', '9df293d4cff7a027', '9b83f1a3f85059e8']; context = [[194, 253], [26, 78], [141, 205], [0, 57], [17, 64], [103, 175], [16, 61], [12, 57], [1, 68], [2, 54], [12, 76], [5, 68], [1, 64], [78, 134], [81, 136], [7, 90]]; loss = 0.070205 low_pass_filter = 0.300
+Epoch 0: | | 38769/? [6:07:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 38770; scene = ['13bd90e16804d6e6', 'bfbd2a2b0620ab6d', 'd49962f1ce9ffe77', '066e2f4b5fe48b5e', 'f3d1d0c917096e36', '8ff3b15727d6fa7f', '9e5b0c23b2b7ce1c', '304af614678c4fc8', '7fd24508f66f31d4', '827f9147cd39f3e2', 'baafaa0a9cddbbb4', 'cb37fdfe60a60681', '70f18731a05c3d3a', '5892be62d259a06c', '43132efce70bfb06', 'ea248182d2b0fbec']; context = [[37, 111], [21, 68], [21, 70], [0, 45], [121, 182], [42, 89], [0, 68], [12, 58], [104, 180], [12, 99], [7, 64], [31, 118], [6, 79], [7, 59], [3, 89], [83, 160]]; loss = 0.025024 low_pass_filter = 0.300
+Epoch 0: | | 38779/? [6:07:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 38780; scene = ['cd5d12eb760f6c25', '855f360a6975676d', 'ecbd583dbf8f0b2c', 'b5e2fc1757ca5400', '262491e354ac8385', 'bf0d03380474d38a', '9cc91556f912bcc6', '097b23d5ae2aa4de', 'd33be1bdf678f485', '6c450e26a09407a4', 'a10052fb69f15ffc', '3f30aa84e7305602', '47b3e5d4b3b534e5', 'fb0040c94bea2a4d', '09a0b9fe4c9b0691', 'c6cb7394690cc9e0']; context = [[14, 103], [9, 83], [29, 80], [102, 180], [2, 74], [26, 99], [7, 71], [7, 61], [0, 66], [115, 182], [3, 66], [92, 159], [83, 135], [136, 185], [3, 68], [0, 51]]; loss = 0.022616 low_pass_filter = 0.300
+Epoch 0: | | 38789/? [6:07:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 38790; scene = ['46cfbabfa0d5bf6c', 'ff7738e2e61b4665', '6a431d61b0a82cd6', 'ddb51cdef2541928', '7bc7fdbcf2d99f74', '068ad646d3fa5ade', '0002b126b0a8a685', 'ee78647843511a4c', '9fa1697870cd2212', '6d59697bc66e7dab', '4436c876ccee946a', '8d3bba01b2043d82', '453c8b8188182228', '005c440a72e93b03', 'd2effa96cf9396c9', 'e3e872cb421fb27b']; context = [[21, 95], [80, 141], [119, 205], [50, 115], [7, 86], [26, 107], [6, 57], [0, 68], [134, 189], [0, 59], [48, 96], [75, 127], [9, 89], [26, 93], [80, 161], [5, 74]]; loss = 0.026636 low_pass_filter = 0.300
+Epoch 0: | | 38799/? [6:07:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 38800; scene = ['491b6e80ec6e3f6f', '57ab998454402e4b', '8d1c21696859cfa4', '46b6815db9c390d6', 'f16e17b3760c6621', '57f08b58536b695d', 'ed8d1829b15314e6', '0cdc6eed0cdf0614', '3dd491fd2c03c32a', '7948506f5ce08ebc', 'c620b4af45dc7445', '9d111016abf7bbe3', '38f5451d38a45659', '9521339418d61c69', '775c972bba0d00fd', '4ed5567da37496b3']; context = [[65, 120], [140, 217], [11, 67], [3, 59], [24, 92], [2, 56], [77, 149], [71, 125], [75, 154], [0, 45], [2, 54], [28, 74], [34, 94], [96, 170], [33, 79], [85, 147]]; loss = 0.028790 low_pass_filter = 0.300
+Epoch 0: | | 38809/? [6:07:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000train step 38810; scene = ['d2b88190a4874f43', '03a346966d45a7f8', 'd882246c1d9a46cd', 'd684317edf11ae29', 'dad1cefd696020b9', 'dcdc4b3354df0b67', '0e07cc5fd39081f0', '4c9341365e9610e7', 'ea52b783452118d3', 'a96263b1bc7ab549', 'a1ff20ce7d7d5e11', 'ff7181eb38589239', '9a7654a56ef3ba60', '2a2e2b0f851203fb', 'c146e1944b766179', 'b1b6fbaa3941c293']; context = [[2, 62], [46, 136], [38, 125], [1, 48], [65, 134], [4, 74], [84, 166], [132, 206], [34, 112], [56, 143], [39, 95], [68, 151], [0, 61], [83, 145], [18, 97], [9, 92]]; loss = 0.024847 low_pass_filter = 0.300
+Epoch 0: | | 38819/? [6:07:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 38820; scene = ['011bd92a275177b8', 'dc6e93dd0db2bbd1', '7d2b24a013e2fe6c', '5ef8bd0e10b08506', '2de7f58f5e033b42', '90b7a1054476cbe1', '3c2e4c90398b4576', '8c6d47f3c5e452d1', 'a6f8fd517ff5fe42', '640c27b117876bef', '7ca371bda254ed80', 'c8dcc958da71336e', '5b458ab008fafb80', 'eab8866b4c520101', '589132cb58573057', '7554edcbb2a0f82d']; context = [[129, 205], [38, 123], [0, 56], [0, 71], [2, 48], [0, 60], [95, 185], [0, 69], [100, 156], [4, 63], [67, 114], [4, 65], [4, 82], [4, 72], [4, 94], [12, 57]]; loss = 0.036188 low_pass_filter = 0.300
+Epoch 0: | | 38829/? [6:07:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 38830; scene = ['03f4b73ed1e0f241', 'd13c362445b63818', '28b4e59156fd7191', '47cb248959be863f', '259d9eed4743a039', '2182f82243b1b557', '5eadfa9632f7fa08', '41afb234315af11b', '4d01b641965bcba9', '39441c33a49aa7cd', '1ff9a4a3b6e51631', 'ed20c9d05a33bdc2', '7d0d149eccb8b61f', 'f9b2b6c5e82c3a81', '2fc39ef41d033bbd', 'bcda7c077a13079c']; context = [[4, 63], [5, 82], [3, 50], [24, 107], [67, 126], [89, 148], [55, 113], [8, 76], [3, 65], [169, 228], [19, 76], [72, 123], [113, 190], [5, 83], [54, 143], [0, 86]]; loss = 0.028575 low_pass_filter = 0.300
+Epoch 0: | | 38839/? [6:07:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 38840; scene = ['de764d0866fd6579', '784a7e6869056799', '16b4e82873823f23', '6e5b881edbc8853a', 'fd9bbfa2cdf4f527', '9b48f28a886221dc', '834119d6d119fe85', '99da52a87a6a0867', '152ec9bbbb4d13d2', 'd50b81adaf488575', '3ffaf1e704427fc8', 'fa37e761f75ecafb', '0c94fa11e0e29a57', '4380710fe040e93e', 'f9cc7615589b58bb', 'bdee71538603b0e3']; context = [[32, 97], [0, 59], [30, 105], [13, 69], [20, 104], [10, 89], [35, 105], [0, 47], [4, 68], [11, 84], [12, 88], [50, 117], [72, 122], [87, 134], [2, 70], [27, 80]]; loss = 0.028498 low_pass_filter = 0.300
+Epoch 0: | | 38849/? [6:07:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 38850; scene = ['6d889e6ed99825ea', '1a846462d45d4654', '174aca67c95ef4fd', '295801c148aaa848', 'b34a3688cebac757', 'd010e0e97adae589', '5e1d6b188223a8e1', '86fa33e82678f2b4', 'd6d3de14a1fa2146', '90470d90591e24b4', '3e7a048c43b4801f', '288ca6ac9cd80107', '3e7830b3da1ac210', '8a18426268680e8b', '43cc177db8b56bc2', '859bb0d976d968c4']; context = [[63, 120], [90, 141], [11, 90], [1, 61], [37, 114], [19, 98], [17, 82], [11, 86], [65, 112], [83, 133], [34, 118], [19, 73], [15, 90], [157, 246], [40, 122], [30, 82]]; loss = 0.042914 low_pass_filter = 0.300
+Epoch 0: | | 38859/? [6:07:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 38860; scene = ['a97e62912a006d59', '982d31117b3d890d', 'bfeeb22f7c5b88f8', 'e44fa4f35c34ade1', '1a20aac3a317d67e', '41986a305a19ca1d', '4705db5f75ab548e', 'ed6c9a5913622c3d', '9beaef3924b260b5', '0a3c5ae29bf2cb59', '62560eba3ba6f77a', '231964ce719fed4c', '7948506f5ce08ebc', '95ad20e7e706f231', 'c620b4af45dc7445', '0cdc6eed0cdf0614']; context = [[0, 47], [0, 48], [0, 45], [55, 127], [2, 57], [165, 224], [90, 144], [12, 72], [11, 99], [42, 122], [16, 68], [12, 65], [0, 45], [101, 159], [4, 52], [27, 114]]; loss = 0.024433 low_pass_filter = 0.300
+Epoch 0: | | 38869/? [6:07:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 38870; scene = ['54ba12e94df7b0b3', 'cbe1f253bdd11625', 'aeddde26e41705e6', '643691861a5043d1', 'e227d56dd6f178c7', 'dcb8ad3a1428b56b', '0b4070d37e896388', '9808ade599ce3b8e', 'cdea215558754e76', '6fab51a37edb7739', '66530b646b00a9d7', 'cc375304e2e198e9', '4cd18aa0eddf1c14', 'e9aeda15b7117ce1', '936f328f3383e093', '71a56f5379e2f975']; context = [[23, 110], [5, 82], [26, 85], [154, 238], [90, 150], [15, 71], [5, 78], [3, 51], [147, 197], [29, 97], [6, 66], [152, 213], [1, 48], [58, 110], [11, 92], [7, 96]]; loss = 0.027035 low_pass_filter = 0.300
+Epoch 0: | | 38879/? [6:08:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 38880; scene = ['a640a55439a43108', '39537fd202eb32b3', '0533d23dfb17f17b', '789a1573a8a7f5a8', '190dc10200a1049e', '66a324d8c0a8b80c', '077a814db8619777', '4198c7129a726cf5', '2da17464ef895b63', '513aa200a2b07a1e', '414730ed5c31b509', '246fed0a9b054ee5', 'ca1e4b3a2e0ecc01', '2a70bb9827ef6e47', '9f958ce8b5994f1d', '71aaf67494c15541']; context = [[39, 108], [32, 100], [19, 96], [18, 103], [37, 90], [30, 82], [10, 81], [17, 83], [5, 68], [25, 82], [35, 113], [125, 192], [66, 125], [91, 154], [12, 58], [21, 94]]; loss = 0.025983 low_pass_filter = 0.300
+Epoch 0: | | 38889/? [6:08:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 38890; scene = ['4c86dd7941950d46', '4fc949359dd32d33', '9645f69ae0681927', '2c9f90a258615478', '52d73f2b4a57e0b5', '7f08ab811c931e53', '3b0bd4a9c0b8b63a', '4ac625439e8fd4fa', 'c9e3c2ac3353dbe2', '040dc3f1487e4d7d', '824bd75a1f047775', 'c59db35862c825ed', '55077c16bb911561', '5fb3bf2facd499a8', 'e34447ddccfc88ff', 'ff189499a6ed28d7']; context = [[43, 90], [0, 46], [13, 67], [1, 60], [10, 90], [0, 57], [20, 88], [129, 189], [8, 96], [3, 60], [38, 110], [13, 70], [64, 145], [4, 58], [162, 229], [6, 55]]; loss = 0.026148 low_pass_filter = 0.300
+Epoch 0: | | 38899/? [6:08:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 38900; scene = ['e4563a7b1b2d1fc8', 'b952915e6460baf5', '8a543bf958e48dea', 'afc302429757e7af', 'afe7352745af8df5', 'ff2bd6b594638b0e', '4ac72b0e9795380c', 'cdbb5456c4a6c130', 'c3a695650753db89', '082df11768924c7e', '553c15ccd8a7c665', 'a3e389b0c33b31cb', '1ec4e8dc19eebef7', '29abe79174e04768', 'e5056d1efbf95610', 'b5e452fd635696a5']; context = [[29, 90], [38, 113], [180, 259], [82, 150], [2, 61], [40, 120], [25, 105], [16, 84], [23, 112], [99, 168], [13, 73], [5, 77], [14, 94], [175, 241], [178, 235], [0, 83]]; loss = 0.027135 low_pass_filter = 0.300
+Epoch 0: | | 38909/? [6:08:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 38910; scene = ['596cd047a1dfd450', 'd882246c1d9a46cd', '3b8a0737368f9f1c', '8c035759dce975d6', 'b4d99586fe24950f', '0c16bfd1cc432c9c', 'ed67e326199a5cae', 'd78f25c6b105edd3', 'b8974ce42f6d52bc', '8b2d76f9df651fc6', 'ef461087323ae170', 'f1c1bb1ee6d4c97d', '322426f484cbd0ce', 'd402be368f70797b', '5a57c8e5a5252c3c', '5de8190e37e23459']; context = [[1, 79], [1, 73], [1, 52], [67, 148], [38, 85], [2, 88], [11, 56], [4, 71], [80, 131], [1, 74], [12, 66], [3, 72], [1, 48], [152, 213], [35, 82], [109, 164]]; loss = 0.075401 low_pass_filter = 0.300
+Epoch 0: | | 38919/? [6:08:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 38920; scene = ['1e6a94b49a5755ae', '13139e97ae7bd6db', '7357221d2b544d6d', '0a33e2c93db81d0d', '48210c911ec4b8a1', 'dd357f25857c3f2d', 'e8d513561d262165', 'a3c7fde6913f3129', '9ed9d087eb810705', '6bec285608bb9251', 'e2f021e332b4e15c', '1e1d3ee71e56989e', '5cdedaf7a73ab3e4', 'a393aaee7481300b', '52280a3b86bfa933', '0fc56ec486ae977a']; context = [[2, 86], [8, 97], [22, 67], [35, 92], [25, 102], [78, 157], [2, 50], [21, 103], [50, 119], [1, 73], [17, 81], [16, 98], [16, 106], [13, 59], [130, 183], [50, 118]]; loss = 0.023756 low_pass_filter = 0.300
+Epoch 0: | | 38929/? [6:08:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 38930; scene = ['5d7eb2a9c30e0fcc', '786db6f690f1fe8c', 'afcac5c329658e0a', '429ee67552fb4347', 'bb7a87ed35bb7c08', '0d3777b8fff2c21f', 'e858dddbc938ec13', '2ec142057d100f69', 'c85026f5f8536d63', 'd8c2f0a3734cb493', 'bf144eafc10b8f0a', '274367d890191087', '0f25e8119ebd2b9e', 'fe5e06cd40924c05', '9e87fa7dc61df709', 'f3a27b723953dabb']; context = [[28, 83], [137, 186], [26, 80], [89, 156], [118, 175], [92, 163], [0, 87], [0, 57], [23, 84], [12, 57], [30, 76], [11, 86], [47, 93], [5, 50], [48, 111], [57, 109]]; loss = 0.027306 low_pass_filter = 0.300
+Epoch 0: | | 38939/? [6:08:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 38940; scene = ['f30c1287b499b59f', '4de68fe45f2cf8da', '0653c0585c65ef9b', '6b643ea7fd9a47f2', 'b19972ab772a18f4', 'afcf166d35c344b9', '508deca74f1d1a90', '6d0cb1621ef51ae4', '99ed4006744a905e', '56fc60d176215c71', 'b23e9b8c836e1712', 'e3dcde521e8154be', '3e981b41e4993058', '681d0a62e1ab6d4c', '38f9d68b29cf4f1e', '9f08547662d50ca7']; context = [[65, 147], [177, 241], [36, 83], [11, 99], [13, 93], [7, 75], [0, 64], [0, 48], [17, 96], [64, 140], [104, 188], [8, 66], [32, 80], [31, 99], [197, 270], [9, 65]]; loss = 0.023487 low_pass_filter = 0.300
+Epoch 0: | | 38949/? [6:08:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 38950; scene = ['75cb938ef32ffdbf', '0d401f1b0cb3d6d0', 'aef946964881b3aa', '5d2c51639483b85d', '6c0e4126b5d4e92f', '8a5ef9fcbbbd0715', 'b963ab9d26b8da09', 'e72d26f6d354ec4d', '6e6fcfeacf855c0a', '344c830b21870a79', '7a75e735a35dad9d', '7a336718fb127af6', '16fccc4a79f5d064', '80cd3bcbc1be5c9f', '53c0505255ce7322', '721e2ff6feff2137']; context = [[5, 92], [122, 208], [7, 81], [8, 54], [27, 97], [165, 238], [40, 86], [8, 53], [194, 264], [1, 61], [36, 109], [0, 77], [3, 88], [24, 77], [58, 128], [186, 261]]; loss = 0.022695 low_pass_filter = 0.300
+Epoch 0: | | 38959/? [6:08:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 38960; scene = ['6d889e6ed99825ea', '1a846462d45d4654', '5e1d6b188223a8e1', 'ac006fdd32e9cf90', 'a0bd9b96e72653d0', '6c0c16bc3341f05d', '54792c35c05cd7f5', '9834366fe2054a74', 'cba6ce0b8af1e2f9', 'f104e30541a188d9', 'e4a773aa8bcdeb64', '0f66d4da2e5fb807', 'dd75e9c994612497', 'f7bc3b34000a7cf4', '5f1f5568fd74bf20', '405ddee5929128c1']; context = [[42, 89], [43, 118], [17, 80], [97, 171], [29, 114], [0, 65], [4, 55], [9, 75], [12, 73], [4, 83], [20, 100], [30, 81], [15, 97], [20, 72], [44, 110], [48, 121]]; loss = 0.036857 low_pass_filter = 0.300
+Epoch 0: | | 38969/? [6:08:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 38970; scene = ['f661fd9e62653225', '338a1e8f27cd7f45', 'e0a3c0023e6ad8f8', '49a8af003cd5aebe', '76ad9054e25f6e8b', '35989b45a058ee3e', '1af9d0a563d8fc8a', 'f6f1e811cb5d0979', '082026c0ca8b7289', '1cc8b0d46380da7f', '4733062e2c9faded', 'f54e5487d10e1dad', '78920ff5c84458f3', '7f5cbcc7be9976d2', '0abad9c3a40f487c', '534668c48bbdb6b8']; context = [[4, 67], [101, 168], [36, 82], [67, 119], [2, 55], [32, 119], [182, 233], [1, 67], [6, 66], [35, 106], [68, 113], [17, 72], [0, 45], [7, 61], [162, 216], [5, 50]]; loss = 0.022251 low_pass_filter = 0.300
+Epoch 0: | | 38979/? [6:08:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 38980; scene = ['a3620e34e8895263', '6c2280965b2c589b', 'ac0adf351c198028', 'be0c13a1287e01dc', '746c9c4988c58d15', '844291f011c40bc4', '2c1c34804bd85520', '84826a7eacde5724', '8bb208b737aa4c51', 'ea5d068f5a9e8a37', '06f2bb925daa11d9', 'fcb923af000d2de7', '0b84a4e9b6f93502', 'fede05c657df0a63', 'b115f950488e134b', 'd976550245197d78']; context = [[57, 114], [9, 59], [80, 161], [48, 98], [89, 145], [30, 84], [8, 56], [2, 58], [8, 65], [2, 89], [157, 205], [65, 112], [52, 122], [6, 66], [57, 138], [13, 62]]; loss = 0.026013 low_pass_filter = 0.300
+Epoch 0: | | 38989/? [6:09:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 38990; scene = ['3620a7e99b83f48f', 'fbb1981f595c47f3', '474449a5d3172644', '2f4670e943868545', '03928badde49b7b6', '0cf4667328f5b6d1', '76d99fe5793755ad', '0dec435cb47386ac', '8e275c7036a72750', 'e1c4289c6eda3545', 'eb971dec77a65942', 'f417a4c162176abf', 'a5f125662576269b', '2f9893144523fdd9', 'b415eb0a7def34c2', '222b51c444cfad2d']; context = [[10, 95], [106, 185], [0, 74], [1, 86], [6, 74], [142, 195], [12, 59], [3, 63], [23, 80], [3, 61], [110, 171], [33, 102], [8, 90], [41, 103], [1, 69], [7, 59]]; loss = 0.026539 low_pass_filter = 0.300
+Epoch 0: | | 38999/? [6:09:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 39000; scene = ['d27b6a8554bf761b', 'e68db198a6e60c30', 'ad724e11e9933d4d', '2eb0e6f1493eeddf', 'f950291d5785c0c8', '8c906cb39d5fdadd', '74cf3746f74cdb97', 'bc6410ac3b5cdb6e', '6430a8f5649a5764', 'cd409943c4829dc4', '83eb0c8730452588', '3943cd45cf5cd16f', 'c6aa94e1b4c7afdc', '11e957df6d221c04', 'a76c6ce5d65d203e', '0bdf1f87e7a514a4']; context = [[3, 77], [141, 187], [2, 89], [2, 49], [154, 239], [12, 97], [5, 66], [98, 144], [8, 74], [21, 73], [16, 78], [6, 52], [15, 100], [28, 117], [0, 53], [70, 120]]; loss = 0.024742 low_pass_filter = 0.300
+Epoch 0: | | 39000/? [6:09:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000validation step 39000; scene = ['7c2a1a21f98565bb']; context = [[34, 79]]
+Epoch 0: | | 39009/? [6:09:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 39010; scene = ['895780d4e6c7c26c', 'd42fc65806d78ed0', '3f14828a1957b7f0', 'c715d9484ed86f27', 'b5dd1aef60dcc6f3', '674f584b6f09a890', 'a1001a4df99e557a', '4d5b55c12c0028dd', '02bb7b7e42bf32cd', '9d682af42dd7d886', '82173fff18851e0a', 'f0fb71e87e8675d2', '8c2bbeac9417065f', 'df756e2bb1999ee7', '9012dcef99974756', '1492f66574082e1c']; context = [[16, 89], [51, 134], [8, 70], [32, 104], [75, 154], [20, 69], [16, 86], [10, 58], [10, 73], [0, 89], [40, 121], [1, 50], [6, 56], [18, 70], [11, 72], [66, 145]]; loss = 0.028612 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 39019/? [6:09:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 39020; scene = ['85b4a5fffd9dddcb', '9212687eedee9127', '8b3f5f7e9edd3d7b', '2687eeb202adae47', 'fcd85dc0996790c4', 'c2cb552464e430ab', '72cc5bfd4015cd03', '50e795080ac74ba6', 'bbacf37a3de9fe50', 'e152f1023f62baee', '88d8e90884122b24', '811030cf843d51aa', '2ac2be72df08b59f', 'e083b64b420a7c1c', 'b8099dd0779f2b1a', 'db554baaea71b956']; context = [[79, 133], [166, 216], [34, 112], [132, 179], [26, 84], [18, 75], [128, 204], [4, 61], [14, 79], [213, 271], [20, 91], [0, 49], [68, 135], [5, 66], [147, 208], [36, 81]]; loss = 0.030194 low_pass_filter = 0.300
+Epoch 0: | | 39029/? [6:09:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 39030; scene = ['9a8ca42aa257eb7d', '9e950a8db19553b9', '18302602f1a2d36d', '02f821d0a9cab154', '564f2112de1a31e6', '7c0fd9b8cbdcdbcc', 'db2911d71cd2d389', '81a468d3d0771bd4', 'bff0f6c000bc59f3', '6c57ac55cbade318', '6ede7a3926290779', '1ec41f3828e1065e', 'dd1ebbbc32276ec6', '826f1e427bcb4f78', 'abda7c79ca34c2f8', 'd78b7ca1fc737e45']; context = [[45, 94], [125, 179], [63, 111], [81, 130], [27, 102], [29, 87], [59, 122], [49, 102], [0, 84], [1, 53], [1, 70], [4, 59], [8, 95], [0, 61], [19, 65], [17, 62]]; loss = 0.023308 low_pass_filter = 0.300
+Epoch 0: | | 39039/? [6:09:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 39040; scene = ['5c38cd5335d4f67b', '9175e26c0b00dc94', '8310b90e53222e9a', '81799d5c1c752aff', '1f312a5d2b5f10d5', 'cfe1c024f2d12648', '6d7b3ffd5175ead9', '1f55935786af5bc1', '691d1622f4daf7fc', '65e26f9d3e6aec07', '6f4beedb6cd7c925', '9e3c85ea17397fab', 'b8a321a196f4847a', '54875c668498adf1', 'c906358ed16807b7', 'c837242a35ebcdd9']; context = [[10, 82], [20, 106], [150, 232], [46, 96], [0, 71], [20, 109], [6, 56], [8, 74], [108, 180], [73, 139], [2, 75], [31, 90], [16, 69], [0, 49], [51, 125], [161, 244]]; loss = 0.024070 low_pass_filter = 0.300
+Epoch 0: | | 39049/? [6:09:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 39050; scene = ['47beee9ab9369688', '69c6b147176cdf01', '87b929c2b7b88c5a', '672f1b3aa09b1c07', 'f8a6a00c4a1c381a', '4559d0f58931cb1e', '1983edb062cda07c', '75a0c4f62041e703', '4ad302dc5d512ba5', 'c14be0ac53622d17', '70878a6931910f8e', '066c3b89b421713c', '6c2112a2af8f34ca', '64d8643c793e4826', '5a02f56f8414e61b', 'd839570bb3e08409']; context = [[21, 72], [17, 92], [91, 176], [17, 68], [59, 110], [136, 220], [3, 76], [43, 131], [1, 74], [47, 126], [4, 50], [48, 124], [118, 182], [9, 83], [6, 56], [107, 153]]; loss = 0.031299 low_pass_filter = 0.300
+Epoch 0: | | 39059/? [6:09:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 39060; scene = ['913bc26ba7d3afc5', '4b67e4f68e085f45', '4b3e117d4f50b167', '4ad8aa55f3b300e2', '4276394e8565d036', 'd0db77f773444638', 'e197531346c5f079', 'df4e1717577f82c1', '541d8c4da94d9047', '72af17dcf2eba0cf', '337c66222a513af2', '6792d6a4f4e87e24', '5f22fdf235746488', 'cfec50872cec53bc', '5d167006936398f2', 'b05e5158361732c9']; context = [[173, 234], [49, 114], [6, 82], [45, 108], [37, 101], [173, 233], [22, 67], [43, 132], [23, 105], [5, 64], [40, 94], [45, 105], [3, 70], [8, 57], [2, 60], [135, 214]]; loss = 0.026764 low_pass_filter = 0.300
+Epoch 0: | | 39069/? [6:09:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 39070; scene = ['14bbdd46f201f55e', 'f47bca36b81a39ed', 'd06f8cd99d46cac7', '8b92b2017c49dc3e', 'ba35191f2e1e3973', '97a3306ce9b42e4e', '34013a94143379b8', '2103796b5825f13b', 'af9be62e98b8c2de', '5843a30d98578bdb', '959d7c0bd7c04b24', 'fe9d806cb3061f25', '95abb7fcec549b2b', 'a1b823b2106e429a', 'd4066cabb16158d5', 'e8f23f5065972ddb']; context = [[8, 60], [83, 156], [45, 113], [7, 94], [1, 86], [10, 61], [40, 110], [4, 81], [4, 49], [8, 54], [14, 63], [8, 58], [5, 64], [6, 89], [36, 101], [75, 148]]; loss = 0.028081 low_pass_filter = 0.300
+Epoch 0: | | 39079/? [6:09:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 39080; scene = ['b0442470142e211b', 'e62120d353663d7b', '5873cdfb303368a8', 'a5b1d005aa7077ca', '3be149890a0c3619', 'fb4d4223204b8761', '0c9c3f99228a95dc', '6002268bbef585b0', 'cb75c5597898298f', '3c21c04d4fde1f23', 'dc8ae2b488cf21b2', '919cdfd8793036a9', '650f2bde36e97c7c', '402146a914e34bd1', '55f9c6bbcedeba49', '2e06f7b62880ccee']; context = [[48, 94], [11, 68], [38, 119], [3, 75], [1, 60], [19, 95], [4, 68], [15, 89], [6, 74], [3, 88], [10, 63], [126, 206], [87, 141], [92, 173], [3, 93], [2, 48]]; loss = 0.154587 low_pass_filter = 0.300
+Epoch 0: | | 39089/? [6:10:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 39090; scene = ['e89e89e57c1eeb38', 'bd14bd5b73524f13', '089048a2f399c492', '30df2e374bfe7b35', '592da365fcff5372', '593ae39580a10910', '55146ffd1ce3f42c', 'd35ce9fc6e18306b', '47c64eca0657a0aa', '40b1cf4bf65368dd', '5d61451abfed6bf2', 'ff9e9b8f3c6b65c8', 'b67f55fde1a5f63a', '8d430fbd83204467', 'da12d84000cf57c4', '8a6cc15410a098e9']; context = [[32, 86], [8, 90], [39, 123], [109, 178], [2, 67], [20, 92], [5, 70], [3, 50], [7, 80], [108, 165], [66, 135], [20, 107], [50, 121], [12, 66], [3, 56], [33, 105]]; loss = 0.026650 low_pass_filter = 0.300
+Epoch 0: | | 39099/? [6:10:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 39100; scene = ['ec11025697d3ed31', '52d043963e210bfc', '9f33b005f5adca9d', '6998dc98ff88bc2e', 'b316086456f17662', 'dba031677046cc7e', 'bef8e53ea788e80e', '03d9809c2ddbcece', 'f5fd4c9ccb08fa6e', '5393d8747f383c43', '3ec62fd89dfa182d', '22e2907594eb8988', 'b5ad207c172544b4', '2dc12db33c77f91e', '1c2c01a428e98033', 'ef5524c633cc7663']; context = [[7, 75], [52, 98], [21, 85], [64, 122], [8, 65], [35, 91], [47, 104], [59, 108], [43, 91], [128, 173], [1, 48], [149, 239], [22, 110], [0, 59], [10, 55], [7, 72]]; loss = 0.024239 low_pass_filter = 0.300
+Epoch 0: | | 39109/? [6:10:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 39110; scene = ['3384da6d323c1626', '572a612762e1226e', '08d41c1cedeee9e0', 'd361571b6da2678f', 'df25682ce6cb73ae', 'ed71bd2e9361f16e', '2f1e8d38e1ae873c', 'a401eb9a7a7f6cf8', '6892b104de38e4be', 'aa0ff918b038d91e', '3050eeed73b3f05e', '6f33727dde219eeb', '2a11d187ac4d948b', '4227c1d0a1dd9baa', '34d0a2873fd57f89', '205114c55ab17127']; context = [[7, 67], [88, 177], [13, 78], [70, 122], [107, 183], [0, 69], [70, 138], [152, 231], [31, 113], [23, 90], [102, 180], [8, 89], [28, 86], [60, 143], [1, 91], [128, 186]]; loss = 0.026349 low_pass_filter = 0.300
+Epoch 0: | | 39119/? [6:10:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 39120; scene = ['b0d64c8ba50c5946', 'd5b62e2693108c0d', 'e4832b64e5b73784', 'a51722bd986895ba', 'a8c6d043e6dfd3a0', 'f854d7e5ce456dab', '0ba8a59b524ec188', 'b453004f4b83ddfc', 'cfc61eb87df87ae0', '034dad4d1889371e', 'c8d797f57b4dbc0c', 'be8f948f75a0a418', 'e7449658b8889d97', 'ffbbacafa10e1711', '775454bdea6893b0', 'd2bda0901d3ee82c']; context = [[12, 83], [15, 65], [23, 113], [20, 107], [4, 54], [54, 110], [0, 75], [45, 119], [54, 104], [19, 82], [7, 90], [119, 184], [108, 175], [7, 91], [1, 52], [28, 118]]; loss = 0.031881 low_pass_filter = 0.300
+Epoch 0: | | 39129/? [6:10:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 39130; scene = ['9b6ca3cfe5886688', '2287dd9710bfcbb1', '7cfeeacb5878e4aa', 'efde93e3e23df6e1', '64cabd9f327a1a99', 'cfc6396b2c66cf16', '9eb9c06f7c377ce6', '24c12e3920d415ed', 'a64b39d2648aec13', '1e793ddcca585feb', 'ae11f1d930436d1c', '61d2fa87a0e9d621', '9edf97202c87fd31', '2f028c09c83a0aeb', 'af2dd5d2c542677d', 'b8f57558cebff3dd']; context = [[99, 179], [10, 62], [2, 74], [87, 156], [20, 75], [3, 79], [87, 145], [75, 148], [99, 170], [135, 191], [26, 87], [17, 107], [1, 64], [24, 90], [2, 55], [62, 152]]; loss = 0.028777 low_pass_filter = 0.300
+Epoch 0: | | 39139/? [6:10:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 39140; scene = ['1ecdbf071c9efedf', 'a18d3ccd10fbff62', 'ed2d12be16750310', '8e2f111529c70806', '70a7c73ee0ff15cf', '644edb7b339e7204', '87c8a0082ed8ff94', '246e844f2b0c296f', 'a11168f2dbc672f5', '8ccd419c07a54f45', 'a03aac3f83c63352', '2ea9a7e763491324', 'd3d56c592a69253c', '9d74a520fb1eb89c', '71af1e40d14233f2', '219070c8f28a0fe3']; context = [[144, 227], [131, 184], [5, 77], [1, 52], [40, 101], [1, 81], [12, 86], [10, 68], [18, 93], [3, 55], [3, 51], [0, 84], [107, 192], [95, 152], [4, 67], [8, 67]]; loss = 0.047428 low_pass_filter = 0.300
+Epoch 0: | | 39149/? [6:10:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 39150; scene = ['be93db481f19ff62', '9f08547662d50ca7', '681d0a62e1ab6d4c', '0cc5b30249c3c951', 'b23e9b8c836e1712', '56fc60d176215c71', '508deca74f1d1a90', '38f9d68b29cf4f1e', '99ed4006744a905e', 'e3dcde521e8154be', '9804ca734356c5d7', '3e981b41e4993058', '7e280a93383e4827', '6d0cb1621ef51ae4', '0c127047dcf85eca', 'a72425db74ff1239']; context = [[86, 165], [18, 95], [57, 113], [93, 172], [82, 153], [43, 109], [117, 181], [42, 88], [17, 94], [8, 76], [25, 85], [1, 75], [34, 108], [1, 48], [17, 66], [3, 82]]; loss = 0.020290 low_pass_filter = 0.300
+Epoch 0: | | 39159/? [6:10:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 39160; scene = ['05519147ca499d14', 'bfe6277ea60796e9', '458cc2ea856b801e', '430dfe5186b29458', 'd8fdfde86920c2fd', 'cb8ed23005fc6250', 'c3d8dd026931f46f', '1cf67dcee73f1c6d', '9a89a85b0c92378b', '4e94ba0878d533df', '9fe9c8baf0730f30', '322d3c9979c5f6d0', 'efbf01ca01dda8f4', '887d4449540630d9', '75d9a26c318d615c', '15f55eeb49f9a158']; context = [[83, 173], [14, 64], [8, 64], [17, 87], [7, 53], [27, 107], [54, 115], [175, 256], [9, 87], [12, 76], [12, 86], [61, 140], [20, 74], [13, 82], [29, 76], [65, 133]]; loss = 0.025049 low_pass_filter = 0.300
+Epoch 0: | | 39169/? [6:10:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 39170; scene = ['9722a4675ef08f7a', 'b59fba30c46e869b', 'aa6af775f4c69693', '7c6cff8643a2c250', 'ab69710e23ffa519', '9acfad92971ff3f2', 'e05be237357b2b8b', '742b3562c7150ed5', 'c69595acf57d15b3', '57ac6eb5ba79e061', '4ae9274ddd246c72', '2538837da46e96ef', '30afa4f4c8f72dd5', '6bbf7a220517735e', 'ebc656d976991be7', '88d97afc8d56bcec']; context = [[4, 51], [53, 128], [0, 69], [32, 97], [28, 80], [1, 90], [87, 140], [66, 138], [204, 261], [16, 67], [10, 66], [110, 164], [56, 122], [10, 60], [1, 64], [148, 201]]; loss = 0.024034 low_pass_filter = 0.300
+Epoch 0: | | 39179/? [6:10:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 39180; scene = ['175a499efb67c13c', '022c8b3bf09953d5', 'd559b11e8ded5d76', '4671540a86c8b051', 'b8a0d98cf50a7f4a', 'a1ceea81e1cc2dcc', 'f91bb3b27b67a83a', '38f6b2d7b3929a61', 'adaae18b87cb04ce', '0947cd60364c7a00', '60be15a3ad83648a', '1bbbca2236ee4230', '1e39c8f4227974ff', 'a61585eb9e5cae15', '1df4c50a6d867f43', '4b5cef82fea77be2']; context = [[14, 85], [11, 65], [5, 59], [54, 108], [2, 62], [30, 110], [41, 107], [23, 71], [0, 85], [0, 50], [3, 60], [4, 80], [7, 85], [0, 85], [7, 64], [19, 64]]; loss = 0.026174 low_pass_filter = 0.300
+Epoch 0: | | 39189/? [6:10:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 39190; scene = ['169e9f69b67f340b', 'd2e9c0ed4e9085fd', '3c9947a734e8533a', '07876b8e602acc93', 'b58aa5ec8024a283', '9ef7ba4e1326192f', '17161017be67798a', 'a54ebb2a3bb631d5', '4f29af38fef0be82', '7845363c0174cfa9', '53ef6c2621d3ee8a', '576e05385333bdea', '7648e09787b5ab2d', 'fb5f6ef461418097', '25b3eb02b0915107', '68df89951fc13293']; context = [[11, 69], [66, 132], [20, 100], [63, 146], [15, 87], [0, 52], [10, 91], [13, 80], [70, 133], [1, 60], [28, 118], [31, 76], [7, 65], [40, 113], [19, 69], [11, 63]]; loss = 0.023285 low_pass_filter = 0.300
+Epoch 0: | | 39199/? [6:11:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 39200; scene = ['3dcd0b8aeec5b011', '68aec1265bd68029', '87f49da9c0b54842', '82cb337cbdf0bec5', 'c8d937ad5508c955', 'f0c94e73b90ded09', 'f45c572485cfefde', 'da537cd2108e4514', '8c00e811d3144c91', 'fcf2631fb72f0cbd', '7b41774e1a45789a', '718964098658e7cd', '42b208082fce3bc2', '153817094c6086d0', '376fd1225e0dbaef', '84e6b90f0c2567d8']; context = [[157, 205], [25, 94], [24, 86], [2, 74], [64, 134], [0, 88], [23, 76], [17, 80], [12, 91], [1, 46], [1, 49], [75, 161], [60, 108], [8, 80], [179, 258], [12, 59]]; loss = 0.026855 low_pass_filter = 0.300
+Epoch 0: | | 39209/? [6:11:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 39210; scene = ['ea55d305813d95ff', '4c2eae92b9b0e03b', '34b4bcac2a2e9b60', '84492f306580629c', 'f6e952caadc38b08', 'b0f1e3bdd4f69eb8', '3cc86b7a240d9487', '88dbf667504fc6d0', '0d754618c77e44f6', '4e6d33c952bfcaa4', '194a9facebe12d0b', '47a2a8b326b9f40e', '027555111a253d5b', 'f20cf4a70116d38e', 'bf07bf11839f5d12', '52eb80f0c2d7871a']; context = [[2, 47], [46, 91], [83, 139], [0, 45], [30, 86], [5, 87], [28, 117], [7, 87], [34, 121], [119, 191], [31, 101], [20, 75], [79, 130], [80, 165], [223, 273], [21, 106]]; loss = 0.026336 low_pass_filter = 0.300
+Epoch 0: | | 39219/? [6:11:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 39220; scene = ['40d8ab238f652221', 'd3b11ecdf9a56141', '826bfb24e4dcb24d', 'f5aeb9de1e33fe73', '2337d2c8ed62f62a', '04141e7311b5b776', '41bde7bd3b983de7', 'ddbdf4c03a9937a0', '9a9caef7e7a630f4', 'c95083212b45d874', '62ddc851fe442dad', '870427fbf621cb0e', '48b60cb4f6652655', '201d18b1270f0735', '482b28b373ba3c27', '1f1ecb7b9e31304b']; context = [[2, 63], [73, 124], [90, 166], [2, 59], [211, 263], [9, 65], [27, 84], [2, 50], [68, 157], [28, 84], [15, 70], [21, 106], [48, 135], [7, 93], [90, 157], [72, 140]]; loss = 0.027659 low_pass_filter = 0.300
+Epoch 0: | | 39229/? [6:11:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 39230; scene = ['849906867edac232', 'bf7605f947d3ed76', '8ad66665fc0a25a0', 'ec89cb249053a4e8', 'a0e4abe253996ea2', '9abf680c0ea74b98', '7e038ad56d73e6bd', 'b2990a11bf291fc5', '2315a5d0d144dc7e', '71f80e4a8d79031c', '87508ff0cb861f3b', '0be2e01e27a683b0', '83e89ce8743d173f', 'c2cb3f434cb54496', '4f4c4302c36cb755', 'e39973a267fed33b']; context = [[56, 114], [87, 170], [40, 107], [18, 93], [9, 70], [82, 127], [0, 53], [77, 136], [3, 70], [4, 59], [32, 111], [12, 62], [36, 105], [76, 160], [22, 101], [0, 66]]; loss = 0.025234 low_pass_filter = 0.300
+Epoch 0: | | 39239/? [6:11:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 39240; scene = ['a3a5884addc0279a', 'ef37be4851962545', '24a67da9e605b0ea', '5376cc836571e8d6', '0badcdd96a4c3fe5', 'f450f62a359bd524', 'f9792d012ef2da5f', 'a3a8f3fc21c11cad', '5116921541fb43df', 'ab78c56e9c5b6482', '210b45452952e838', 'ca87a70e313be9ae', '177e02752605973a', '67b2f1c002c84aae', '30ea75ac0d308229', 'aa0ba67f0631699e']; context = [[13, 60], [37, 106], [97, 161], [20, 102], [13, 58], [20, 95], [77, 154], [52, 136], [40, 103], [8, 70], [3, 76], [8, 88], [20, 74], [0, 57], [95, 142], [14, 94]]; loss = 0.027465 low_pass_filter = 0.300
+Epoch 0: | | 39249/? [6:11:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 39250; scene = ['c9cc84f82b5182d9', '7bc459cf2cd73e6a', '78301054a4e470d3', 'ec15da6be3f66c37', '4f0e7c5b39da1ff1', '29a5e76da0fe508e', '2df3d9757cc88582', 'fb2b05793115d09f', '37d9966442c8f4a2', 'e71dfa0818466743', '6972d0b239803088', '92a71ca61a77d2d6', '3de36eca0531b5e5', '77cc81b0c5730be0', '009f5248262f70e0', '369ef2ae4cb58ae5']; context = [[161, 232], [14, 69], [3, 74], [33, 104], [177, 252], [0, 45], [0, 45], [1, 85], [76, 134], [14, 80], [150, 218], [14, 100], [40, 128], [5, 78], [41, 89], [48, 97]]; loss = 0.026927 low_pass_filter = 0.300
+Epoch 0: | | 39259/? [6:11:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 39260; scene = ['2475b5436e129d89', '9a3f0345a9b17648', '95a5ea2e09ee418f', '39edfd183c4f5b5b', '09f1e74af56c268f', '28f196b2974e01fb', '689eb631613c402c', '2c2448d7d99b29db', '0a13c96ef5627832', 'de27d41e095228a7', '27c168a634509b29', '6dfcc15fc9e4c026', '2d209691d5658fd7', '9a447c89080e9b56', '13172460199656f2', '10ee3c037e33a6fd']; context = [[26, 113], [3, 49], [81, 131], [64, 137], [20, 106], [30, 110], [9, 75], [4, 77], [164, 214], [4, 93], [25, 79], [3, 67], [40, 90], [4, 80], [78, 140], [2, 78]]; loss = 0.027391 low_pass_filter = 0.300
+Epoch 0: | | 39269/? [6:11:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 39270; scene = ['95f88ab4932e5ee7', '697df23e9f5fb6f5', 'd41080892de5082d', 'fc801406b1f9db3f', '3bb8ca11ff6e54c1', 'a92ffea4cbb162e4', '062f247f28a18c88', '88f267c298030fed', 'd7fd1af71b563b96', '015f5a7965860c29', '4e726c834344b1fa', '0749505ed5eb06e1', '14aa155881aa04a4', '33bde5a1119d0e83', '63a7a59215cec24d', 'cc630b6a939ad1f2']; context = [[15, 74], [15, 82], [30, 87], [117, 179], [59, 135], [1, 50], [0, 46], [0, 87], [1, 84], [85, 156], [34, 80], [5, 59], [7, 59], [5, 63], [55, 101], [101, 173]]; loss = 0.029625 low_pass_filter = 0.300
+Epoch 0: | | 39279/? [6:11:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 39280; scene = ['ca093a3d6935cd2d', 'c513a3c2f59aa548', '1f0941aceca49b1d', '3172fc3016b29bc7', 'a781aa9c808d47aa', 'acdf5328ac922747', '40f0c4c85a5f8b6e', '39e7fa32d953fa6e', '8255b64ea7989de6', 'd35650707515c2cf', '1a3a20eca34cffce', '07c12f3c5aa008e7', '13e0eb10aa5c845a', 'a2f534dd3e493ce8', '98fe65e85f1a7b05', '9e6c6fe2b6792e07']; context = [[3, 77], [6, 84], [102, 152], [15, 94], [30, 116], [1, 48], [32, 93], [49, 119], [4, 50], [50, 98], [6, 73], [183, 273], [3, 53], [103, 167], [2, 48], [6, 76]]; loss = 0.025291 low_pass_filter = 0.300
+Epoch 0: | | 39289/? [6:11:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 39290; scene = ['a4f2e7495466dabb', '4accbdaf2ba3e72e', '341a2aae7530be66', '86a4988309c5a426', '81b6cf7fd559d1c2', '7c4abf90a9c2bb5c', 'ef0948bb2141d23c', '87c665f106ea30e2', 'da90497dc4a78933', 'd6ecefa36d04007a', 'e23b1573b9c59b53', 'a5958226d3c882ae', '372f7543b01492bb', '0e31843ccbe9288f', '5fd2c3f026ad348e', '1e2602930aba2625']; context = [[96, 179], [18, 83], [0, 45], [20, 88], [101, 149], [6, 81], [3, 62], [33, 90], [15, 74], [2, 52], [59, 143], [56, 119], [15, 80], [44, 125], [1, 83], [11, 81]]; loss = 0.028849 low_pass_filter = 0.300
+Epoch 0: | | 39299/? [6:12:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 39300; scene = ['f4066052175578a0', '3cca5bd6f63c23a5', '9cc6a832ffde1cbb', 'fc5fe3d19d1bcc3e', '203149d77d4e35c2', '3d187ef47213b513', '7bdae1fbfeca5814', '6d849ca53f62a5b7', 'b544cb6ee5baf553', '8956940f736559e9', '2ecf714d6adeb367', '36cf199e21b7e3b0', '32b2e26cca9189d1', 'd466e30d0a3e0072', 'c49990e5b975a6f4', '01ad601c85aae56d']; context = [[96, 149], [6, 74], [19, 75], [84, 155], [14, 70], [60, 133], [12, 80], [112, 201], [44, 104], [25, 102], [149, 226], [36, 83], [11, 99], [30, 94], [28, 107], [45, 129]]; loss = 0.027656 low_pass_filter = 0.300
+Epoch 0: | | 39309/? [6:12:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 39310; scene = ['57c4c871ad8cb634', '900771ff22868f89', '9e58f95fd4a31468', 'ca9b53deb1359193', '861bad9244603e85', 'a56d066178264232', 'f990f04ead348fe0', '6e87dece9971c8be', '45a6c95be2ac580b', 'b5e452fd635696a5', '07e6f68d194480bc', '44cbbd7418d66552', '29abe79174e04768', 'ebbd8c36a1a8d3c2', 'e5056d1efbf95610', '1ec4e8dc19eebef7']; context = [[16, 85], [58, 105], [6, 54], [16, 83], [4, 69], [79, 140], [29, 96], [28, 77], [38, 89], [0, 45], [4, 59], [17, 66], [149, 235], [6, 57], [169, 232], [3, 69]]; loss = 0.028133 low_pass_filter = 0.300
+Epoch 0: | | 39319/? [6:12:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 39320; scene = ['dd5b07d83d0693a4', 'bc32aea88019f07b', '4e8169b7f130e2c9', '93df669a8501c378', '22e67a14833dab08', '6476221df017a9e2', '2d2c24a5d3adf863', '05f85f73e2aee6aa', '74250892a618f227', '6262d7d23b49f6c8', '7a7aa665c3efecb0', '4c2dfabec6c5cb6f', '1b2134d524dfa218', '7fad0336e684f3a7', '27d36259d660db4c', '567fa5e8054cefad']; context = [[34, 99], [15, 89], [100, 181], [26, 97], [11, 56], [160, 225], [9, 82], [48, 130], [65, 129], [114, 192], [11, 61], [1, 76], [4, 57], [115, 175], [5, 64], [20, 110]]; loss = 0.024912 low_pass_filter = 0.300
+Epoch 0: | | 39329/? [6:12:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 39330; scene = ['eac388c09cb28b6d', '35f41e622d274260', '230b85cf6cccf2e0', '607eede38bbe564b', '8affd428b7e77951', '92edfb92210ccd71', '96b0f3e7562b891e', '885dcd6c9641079c', '73b60097c7485165', '986540962d8f80a6', 'df02062f22ce3542', '0dcb0cad41a1f81b', '964a843d6b1eae95', 'ac5b99b6aef3fae5', '6a863f5fa48164d8', '47e999010f49fcff']; context = [[8, 60], [0, 89], [16, 85], [169, 233], [140, 186], [42, 120], [1, 54], [144, 229], [112, 159], [33, 84], [51, 128], [21, 70], [95, 181], [5, 78], [1, 52], [3, 71]]; loss = 0.023581 low_pass_filter = 0.300
+Epoch 0: | | 39339/? [6:12:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 39340; scene = ['ef7970fd2100bdb8', 'b53b27fdad29cf8d', '090563e6281b200d', '0764de57c2aac0b7', 'cb68843a409bae9d', 'c1e78cf2ffa86d43', 'a152a4b1f19f25ed', '46bd6752c4ea9d50', 'a5accfa355df6730', 'dda98b150531b29e', '6a350ebce6b44cf8', '8a78089f2d693689', '71a67ae4eccba383', '92c72363c53e8498', '2a5f0ea759c4a950', '678d2e43ab3e3371']; context = [[5, 95], [40, 121], [26, 90], [7, 64], [6, 78], [2, 64], [48, 104], [42, 103], [13, 78], [47, 134], [3, 88], [143, 209], [95, 174], [3, 74], [28, 111], [1, 88]]; loss = 0.027013 low_pass_filter = 0.300
+Epoch 0: | | 39349/? [6:12:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 39350; scene = ['f3c9b744a3ec8d81', 'ec5815c2f8d05f81', 'f2fd8742f673fa6a', 'a18e4f50b39db23f', '991621933aad3eaf', '0fcee80286318859', 'd0ddbb1c73874bec', '32c0a57c089dfffb', 'f9f1d88856e0561d', 'bd23e786eb4d80a2', '82125c3653da9f1b', '4321e85d908b117d', 'c4005922f59686ae', '81a3f8a8ce79a059', 'ed8272185c1ac2e0', 'f024a38fc8e4ec74']; context = [[54, 131], [1, 46], [20, 72], [47, 122], [7, 91], [108, 170], [33, 96], [5, 53], [20, 109], [174, 220], [9, 95], [46, 106], [15, 102], [12, 68], [58, 142], [63, 148]]; loss = 0.023524 low_pass_filter = 0.300
+Epoch 0: | | 39359/? [6:12:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 39360; scene = ['daa3cae6a1d4e0b7', '2a7d2f896fdb247d', 'bea6fbb680b7dc9c', '080d56120107ef6c', '7646ac2f8b5fdaa6', 'a725e2994ee82004', 'e05b95578c4c14d1', '69d344c94d10cb8f', 'e1e6a57412c525ae', 'a27f448e55637a5f', 'd0a4631fc857ab8a', 'dcc32501d6d299b3', '86824ec7330f61df', '8d08b6d3bb4eb771', '760c4946c9cab2bb', 'e98d3fe566281238']; context = [[22, 85], [37, 110], [11, 85], [143, 210], [6, 51], [16, 78], [19, 101], [143, 219], [14, 77], [33, 89], [62, 127], [0, 74], [153, 211], [13, 103], [4, 56], [16, 62]]; loss = 0.021733 low_pass_filter = 0.300
+Epoch 0: | | 39369/? [6:12:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 39370; scene = ['b95a2ce1d191fe04', 'a6463fb1c9e10282', '264626db21145229', '7097ecbb242ddc3d', '1f2241043228c846', 'd635fdb4ad2d18bb', '4b9488446f93e268', '701699799d981edd', '1a369bc5ee12b895', 'cfbe97a277ff392d', '79dda916bba4e040', '9c719fa62656280b', 'd4d62e24faa1a895', '4fdd05cb93ce0120', 'ec084b47780b0054', '5e6ba1ec43745076']; context = [[1, 84], [18, 76], [79, 165], [0, 80], [25, 106], [82, 146], [11, 96], [7, 68], [126, 206], [25, 78], [22, 68], [45, 110], [17, 64], [17, 93], [103, 159], [216, 273]]; loss = 0.022315 low_pass_filter = 0.300
+Epoch 0: | | 39379/? [6:12:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 39380; scene = ['2e2d0271a792d57e', '0e9e8dd84bc136de', '1a0c841bd063b70b', 'de64ddc3dac67b2e', '1cc1f0e0dfd6912c', 'a1765a6e321bd6e1', 'e4609206a11a6a43', '410d5bffeb8cd4f3', 'e23218543b09f6c4', 'a0f58ed84db144cd', '5f0601007c180e69', '61f2b4f0fbdfdc56', '925bb132693b2e06', '3c916ce0b7d20d60', 'f9879c1f6508cea5', 'fc8a487df5aae714']; context = [[53, 131], [10, 64], [3, 50], [1, 56], [56, 101], [3, 78], [62, 152], [5, 69], [15, 98], [0, 49], [166, 230], [32, 83], [110, 173], [7, 65], [0, 78], [20, 76]]; loss = 0.022895 low_pass_filter = 0.300
+Epoch 0: | | 39389/? [6:12:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 39390; scene = ['180480cb22ef0725', '489e61a289f59044', '610ec8daa2775e45', '072888bb251387c5', 'a4f8febd2dd51706', '2434d67e7dedfcb4', '6255ad81d69d712a', 'b5dd6c0b8984c3e1', 'dd3e295d87254211', 'f6cf7564dcf914a6', '5d04fab0c0b812c2', '4812a70132f58027', 'ed03a5c85c48f284', 'c43f2afac41be9f0', '3933e050eaffe98d', 'c09f0974b1886497']; context = [[1, 73], [110, 167], [10, 82], [144, 213], [61, 115], [19, 84], [61, 115], [63, 114], [151, 204], [131, 214], [17, 78], [127, 213], [7, 64], [1, 90], [15, 97], [71, 161]]; loss = 0.071593 low_pass_filter = 0.300
+Epoch 0: | | 39399/? [6:12:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 39400; scene = ['983efe783b37d558', '18da11c0260b33fd', '6bb5c56fb61101d9', '5ef0cef4ba4129e2', 'e2d9d16fad5887af', '7bcde7f68f93690a', '540dadaf765a658a', '9460fa349c6938ee', 'bc67341c31098cca', '35a9ae304403b303', 'a4721eb32195ea7f', '2f8dc070e74f3d39', '7332844fad895fdd', 'bf563dea667a926b', 'ed6dde4ef3037b45', 'fd81e1b584ba9dd2']; context = [[87, 138], [147, 218], [4, 66], [20, 84], [34, 97], [46, 92], [90, 162], [8, 92], [10, 61], [9, 99], [14, 96], [0, 50], [101, 170], [18, 89], [10, 90], [207, 268]]; loss = 0.048806 low_pass_filter = 0.300
+Epoch 0: | | 39409/? [6:13:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 39410; scene = ['d42efb39cd972a19', '91ae7aa8ffd1cea6', '81ee268730f0cfd4', 'd4a804c9d4003fec', 'fdb1ddd7b6d42b1c', '257e2910b28b2b2b', '18152facf0d07c56', 'd9590036ff6fd866', 'c1b1ce01476efc00', 'c3e3a7ba5d9219ee', '97bd795c207a3be0', 'f9c3fae342576d5c', '3d21e749686e5754', 'f49e05ae93f16a10', '0ab56001fc8803c2', 'b613431f8d7fcaf0']; context = [[103, 155], [132, 215], [23, 86], [4, 64], [64, 120], [0, 68], [3, 93], [3, 71], [0, 45], [2, 50], [57, 105], [154, 235], [113, 177], [65, 119], [107, 187], [100, 145]]; loss = 0.028407 low_pass_filter = 0.300
+Epoch 0: | | 39419/? [6:13:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 39420; scene = ['f356a31315da1ce8', '827f9147cd39f3e2', '43132efce70bfb06', '5892be62d259a06c', 'f3d1d0c917096e36', '304af614678c4fc8', 'ea248182d2b0fbec', '70f18731a05c3d3a', '7fd24508f66f31d4', 'cb37fdfe60a60681', 'b0b8d4c9ced5ad4c', '8ff3b15727d6fa7f', '9e5b0c23b2b7ce1c', 'baafaa0a9cddbbb4', '25f8fa5f70fc3819', 'e52f052d044d211d']; context = [[17, 80], [14, 63], [10, 62], [5, 61], [70, 139], [13, 73], [62, 110], [10, 80], [13, 94], [20, 103], [1, 86], [26, 82], [7, 70], [2, 61], [150, 218], [6, 53]]; loss = 0.025517 low_pass_filter = 0.300
+Epoch 0: | | 39429/? [6:13:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 39430; scene = ['78fab87a339cebcc', 'e04988aa0ef1ff95', '62ea424fe1922971', '6e127700ed296733', 'a96d726d64289e16', 'e7ca9101abf865b4', '7c3c345404cd29ee', '916ba32c24c8014f', '9fb3173ad654a32f', '484b6df8b586dd1a', '57112bf6cf251fe1', 'a421fa44be30ccf8', 'b4049b5f74fe2c1a', '9a8fd1d3cf706b89', '3370b1a40953d7ca', 'b3ccb1e1003fcb6d']; context = [[16, 88], [123, 200], [7, 95], [4, 83], [31, 89], [14, 81], [10, 76], [3, 79], [10, 73], [14, 71], [0, 58], [22, 103], [17, 105], [1, 85], [9, 82], [1, 78]]; loss = 0.031075 low_pass_filter = 0.300
+Epoch 0: | | 39439/? [6:13:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 39440; scene = ['ceae0d5fe00411b8', '4bfd9ce2e7cf4105', '5b38600054300759', '9749f269b3c35673', '3fff43daf78cf5c6', 'bfcb6064b910e923', '103ed44996e0eb26', '7f54d26a8ab0e14e', '9b91c8500421d562', '86804304e90a280f', '7453567bc6bb115a', 'ae967e6bbd12e29a', '502168dc460bc1c7', '0d7c648be0247e1a', '6a1ea67384a032e0', '35bf2746e0a4e79e']; context = [[0, 69], [100, 158], [2, 78], [8, 53], [15, 76], [15, 64], [6, 91], [13, 75], [10, 73], [138, 209], [1, 60], [6, 74], [3, 66], [9, 61], [118, 166], [0, 48]]; loss = 0.034895 low_pass_filter = 0.300
+Epoch 0: | | 39449/? [6:13:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 39450; scene = ['7af3ae39bafa42ca', '20e52dd69adce3bd', 'de24e08882c2f2a1', '02dfa1c2784f08eb', '491e340a53f1c0d2', '49a3f7ae3a565531', 'fdea8b88ee5b83c0', 'a6f6a363e768c68b', 'fa1e78f4c605baf6', '7d1a5c5ed1505601', '83d36bc79b6ddd5f', 'e5545e30f772706a', 'dc015aae44af1ee3', '449002ada2ccb247', 'd8d76c5a94df95f6', '05e57498aeca6d81']; context = [[27, 91], [55, 104], [38, 128], [65, 150], [1, 72], [24, 91], [30, 107], [31, 107], [36, 100], [9, 72], [19, 81], [68, 119], [1, 58], [17, 76], [26, 97], [95, 163]]; loss = 0.025121 low_pass_filter = 0.300
+Epoch 0: | | 39459/? [6:13:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 39460; scene = ['d34926c73ae1277e', '6b2735cb86d4e4f1', 'c13bb399a020e3c3', '4a14943578b95a8e', '9e3fccd43f45c2d2', '2e52528c924eec10', '21c6f59110072ea4', '133b10735f5e1c03', 'bfc711e6a4a355ce', 'c7bcb6e6fb240827', '0af2c96de56bf884', '2c70a962096d773a', 'fae93ceeaaf99328', 'd92a6ababd47f047', '1a50a5e0096742c3', '64f07750a0acd912']; context = [[70, 136], [2, 67], [107, 167], [19, 75], [14, 102], [1, 47], [4, 65], [46, 93], [112, 159], [0, 75], [157, 218], [17, 85], [105, 178], [195, 270], [122, 173], [44, 99]]; loss = 0.027429 low_pass_filter = 0.300
+Epoch 0: | | 39469/? [6:13:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 39470; scene = ['e513140e701c5e66', 'a8a839f576f8efa2', '7d0730b43c16c126', 'ab69c928f16d5de1', 'b03141d1d2429dcc', '9f0534a8f73b5b5f', 'a7c454119cd0c84f', 'cc1665e6993bbd5f', '27f29330feb1619b', '4078b0e80e1d4b3e', '38b83c7b78639e3f', 'a58982a3ce680e24', '54c2ffb9b031aa12', '5ca6f4c7bd808c60', '8481aa6143270581', '790324d13c5db809']; context = [[35, 80], [2, 55], [38, 115], [26, 102], [9, 89], [1, 49], [102, 147], [36, 112], [26, 105], [34, 84], [61, 106], [23, 86], [172, 223], [9, 66], [43, 105], [42, 95]]; loss = 0.026503 low_pass_filter = 0.300
+Epoch 0: | | 39479/? [6:13:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 39480; scene = ['9caac0a86187d952', 'cab37a0e45880bdf', '949f54dfbf042a74', 'ab9608b28903f6c9', 'dbc41a695dbf3200', '78f8199d3e95039f', '823335d40dc7bc7d', 'e9336696bf815c70', '6374f77a0a86bfdb', '0817fdf3c4ef8c48', '5afa3097bb38b159', '804eba20f315337e', '2248f7eaf18cca06', '6b6c1924a5328645', 'c7ae900f7a5628a3', 'd6a1f3e13c45df99']; context = [[6, 96], [13, 97], [29, 108], [44, 97], [25, 92], [30, 111], [10, 100], [68, 142], [5, 63], [188, 257], [4, 69], [0, 83], [29, 97], [10, 61], [22, 104], [0, 54]]; loss = 0.041273 low_pass_filter = 0.300
+Epoch 0: | | 39489/? [6:13:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 39490; scene = ['caf4fbfc305764d5', 'd6649c28162a4b0b', 'f5fa0c438f970486', 'b30bae372ee0cb0d', 'ae5102a2fddf072b', 'b02e382c90afbda7', '5e05a3bb4a7b2408', '240037205a68904c', 'b73c82a030426b3c', '0be7ab3df88c9c6e', '36e1163e28f2bfed', '9c7f566e1aa31a8b', '90a1c5e227743bdf', 'eece18309729d1f1', 'a943ba6f8905b420', 'ede92a46c8dd0f52']; context = [[7, 95], [0, 86], [146, 197], [1, 73], [9, 93], [10, 100], [94, 162], [16, 73], [14, 89], [117, 169], [6, 59], [48, 106], [8, 98], [126, 182], [5, 80], [11, 76]]; loss = 0.028393 low_pass_filter = 0.300
+Epoch 0: | | 39499/? [6:13:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 39500; scene = ['01c72bfd2acc1bf9', '820efb23bec5de13', '155bdf703c9d2c78', 'd85e72198954fedf', 'e3221f6e2e4298b4', 'aab3ddb3540888d6', '61c1a8c9a5bbb249', '79bc597102376aef', 'af9d1e6e51023368', '1dffc11384eceb52', '717e391149f3c5eb', '7e18c24b44ceb1cd', '0580f898bf9de725', 'b18ac5291f4c02b9', 'a2c58db9c8001374', '832975ea48dd655d']; context = [[50, 127], [124, 211], [11, 91], [1, 54], [55, 145], [21, 82], [11, 71], [207, 253], [89, 146], [159, 248], [31, 81], [139, 226], [23, 112], [1, 67], [13, 72], [38, 97]]; loss = 0.129702 low_pass_filter = 0.300
+Epoch 0: | | 39509/? [6:13:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 39510; scene = ['878a9cd31f4ad9f6', '210ab3c1a9d655e5', '842edd33637dfc83', '6e0446b32be39b1f', 'c84c4db184037309', '9a80121d71258b41', '7d597cedae289ee8', '86badfef4fc36bed', 'c6246a94432e00c6', 'e5db691627ea5357', '319bd9ea90f25ea3', 'db2e57b7e99316f8', '9e5d4092544094ba', '615d6bfaa3a5499c', '710edfdf32d1e025', 'd44849401776c1e6']; context = [[88, 164], [147, 222], [4, 53], [4, 52], [1, 46], [6, 57], [5, 58], [30, 86], [0, 47], [22, 109], [0, 69], [0, 77], [6, 82], [32, 118], [15, 80], [7, 77]]; loss = 0.025395 low_pass_filter = 0.300
+Epoch 0: | | 39519/? [6:14:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 39520; scene = ['02a53a0050230704', 'e17271dffca59540', 'c3372f1fa6c4714c', 'b233ce84c946d4f8', 'ac0b15f81f34ea22', 'a670ce22b15e4752', '9caac0a86187d952', 'cab37a0e45880bdf', '120a39431fb42fda', '949f54dfbf042a74', '5ee0d7b6fff21917', '61b8d6d61f125dfc', 'cbc03f0f2baa6993', '6bea1666cf40aea2', '7c0f2a743fc71eca', '05ea780fd1f2dabe']; context = [[21, 106], [67, 156], [5, 83], [73, 127], [40, 130], [27, 92], [64, 140], [17, 94], [1, 67], [58, 118], [1, 49], [1, 49], [2, 55], [12, 100], [13, 66], [37, 85]]; loss = 0.027276 low_pass_filter = 0.300
+Epoch 0: | | 39529/? [6:14:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 39530; scene = ['bfde7f58848d4403', 'f72e0d5e11df9fce', '1bdd32e32e0c1354', '69fa43535c0ce54b', '5358a81f3bc92e90', '65c475803b9b5228', '21dd673017056093', 'f3368db80c3bd8d2', 'cd6bcd4d2762a4d9', 'f939a717c8f8cccc', '5d021215098f312b', 'ba8683c7d9392cae', '8d44230707ae23fd', 'f2f21e00e8036928', '0914ab351ada6998', 'dec8aa28b4402b50']; context = [[51, 127], [2, 50], [28, 81], [0, 48], [8, 65], [22, 90], [159, 248], [22, 110], [13, 92], [31, 114], [20, 76], [81, 159], [28, 85], [0, 79], [10, 56], [56, 124]]; loss = 0.025637 low_pass_filter = 0.300
+Epoch 0: | | 39539/? [6:14:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 39540; scene = ['2c4fcf937e2b85b8', '4e3f03d8eb84477a', 'b7556b0783a9501e', '77530dbf37d42b74', '1aef6f4ef6ceb889', '309d451b7ba0da15', '297b64e30f27b9d2', '69990ac966f55d33', '6daed58f9f82a5ca', 'da0fad2070e6c0dd', 'e17208be486cc7a7', 'd0c6d0c46eb130ea', '0f62ec5c20682f71', 'dbac9841157230ce', '093f98ee806dc5ae', '2b15c8704aaa87ba']; context = [[1, 64], [0, 74], [9, 78], [157, 228], [30, 85], [21, 80], [6, 64], [3, 68], [2, 77], [3, 56], [32, 117], [20, 100], [215, 263], [192, 244], [21, 99], [4, 89]]; loss = 0.027689 low_pass_filter = 0.300
+Epoch 0: | | 39549/? [6:14:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 39550; scene = ['86270bfca57f93f8', '32f1a97335017d58', 'ba00608cd351deb0', 'ede232ddb1498db9', 'c6ebf1a0acc6844d', '6e12e46a273ddb93', '9b4d466924c40d8b', '4b6cbf1f4c87d918', 'fd57854f46eb713c', '4a16094a5acde070', 'f0f42a1310d9a5a7', 'fd7dedf57981ee4b', '075a9bb030a7db15', '9edc0db730693fee', 'aeeb41f6289e530e', 'e4abf77ec25cb0e0']; context = [[7, 77], [19, 108], [13, 86], [5, 64], [145, 197], [12, 83], [57, 126], [0, 83], [0, 45], [5, 70], [15, 71], [2, 63], [29, 91], [66, 155], [95, 147], [54, 102]]; loss = 0.021452 low_pass_filter = 0.300
+Epoch 0: | | 39559/? [6:14:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 39560; scene = ['01013ae23fd56cf6', 'becfa3668f1ee64e', '3b7c1da7ab8f7c7f', '7fe98c1f01f1ef82', 'adc4da860adb345b', '79f1ced3ae31f942', '3f575f7539ab6976', '2077837c28470a26', 'a37504e5a333ec20', '40aa0220cc39a914', 'c7dec949f5729c8c', 'f26e9cdace9af960', 'ad596afee6a8aa9c', 'c2368674dc54c1ab', 'f575470bf119a425', 'd247b250c6bee35d']; context = [[126, 192], [87, 160], [26, 114], [22, 74], [5, 83], [5, 75], [3, 85], [97, 146], [37, 92], [6, 62], [153, 208], [1, 54], [0, 69], [10, 64], [53, 100], [0, 68]]; loss = 0.026125 low_pass_filter = 0.300
+Epoch 0: | | 39569/? [6:14:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 39570; scene = ['fc5c4244dd42b9c2', 'd29ff797dbc69ab5', '8663906248d346cb', 'be885aa875712dde', '4308154957c1ef63', '0016d89da2d78196', '2950884335bd243c', 'cf784e584d2d33da', '1b38ef04f2839dd6', 'c10a042037a5a120', '594a53a4007ff3ee', 'db9bc0ff275d4fbb', '871cf978eabbd334', 'd24a8a424be5ee95', 'c40912fdeb819658', '75933e11d3115802']; context = [[15, 85], [4, 80], [27, 96], [35, 108], [0, 55], [68, 142], [21, 110], [4, 51], [65, 121], [21, 75], [3, 52], [52, 127], [110, 180], [33, 104], [176, 247], [1, 58]]; loss = 0.028747 low_pass_filter = 0.300
+Epoch 0: | | 39579/? [6:14:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 39580; scene = ['ecdb994183e9ded9', 'c8cb25092964f8e9', '296cc032e4e7d75a', '85de5a5be8e4910c', '2f71cfc6c03e7d04', 'd68a233d39cc2158', 'ee3ca8e10ed41dee', '7b24ff33bae3b3d7', '1523333578046fb5', 'e30f991f5555ec78', '6a8ced127a3c791d', '0533d23dfb17f17b', '39537fd202eb32b3', '077a814db8619777', '66a324d8c0a8b80c', '513aa200a2b07a1e']; context = [[60, 119], [11, 83], [158, 234], [6, 70], [3, 56], [31, 82], [52, 119], [40, 95], [180, 263], [2, 62], [65, 129], [75, 142], [37, 108], [70, 120], [13, 73], [10, 73]]; loss = 0.027084 low_pass_filter = 0.300
+Epoch 0: | | 39589/? [6:14:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 39590; scene = ['a4e81bb81f7f4b98', 'c26b1dbc51bb76a2', '052b90459fc4dc8b', '95a37920b1ec02f6', 'dd050bfff50eb8a0', '5bb7bb3784ca3d66', '6f3364f094e81f66', '285eb8af8191d4d1', 'dc36fa3cb8bf4492', '7fcf8100c81fd54e', '39d22b119739d628', '206f207ba1fba3f9', 'fe3356c41851577a', 'c70a420b1d7dca8f', '84556fd53fab52bd', 'ba2a2ce5a110fb53']; context = [[14, 63], [6, 55], [22, 73], [0, 67], [65, 113], [18, 80], [6, 95], [8, 80], [16, 76], [97, 146], [19, 92], [40, 102], [20, 96], [7, 67], [21, 97], [71, 116]]; loss = 0.030644 low_pass_filter = 0.300
+Epoch 0: | | 39599/? [6:14:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 39600; scene = ['c9e908637d748a4b', 'a76c6ce5d65d203e', 'f5f68ef105502df8', 'caa9ec5743956e5e', '44eb2c67b9c0b4f6', '181187067acc4cc3', '400560c62e3de24c', '7fc3c9ec1c938fe7', '6a279347f7b07636', 'efce7264206c4d36', '60ff26df8d284a27', 'e2400ea7b41d777e', '62b236553c63fece', '53989f07ffed6e2b', '1f2f3463069ec6c6', 'cf78027fd4790810']; context = [[27, 90], [1, 51], [5, 54], [135, 197], [9, 85], [2, 47], [65, 152], [0, 65], [9, 86], [134, 213], [22, 89], [37, 100], [94, 139], [0, 74], [12, 102], [79, 140]]; loss = 0.024478 low_pass_filter = 0.300
+Epoch 0: | | 39609/? [6:14:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 39610; scene = ['c13d77898a35f1fc', '3d6b9ddbc7735a60', '1b1433ed317668f2', 'a2379d62fc9f4644', 'f1e0fc96c0c84a64', 'bdd54254ce33879d', '50fa5f6485b902f7', 'f464ca10aeb319b2', '0c00add2df364424', 'c9ba5f457926c590', '44e220cefe7bb7be', '3becb8b0325bde6f', '4dd909d8988b412b', 'fb750a5ea96604dc', '1db056553a89dd50', 'a5fc7e6306b6cff3']; context = [[59, 109], [101, 187], [21, 70], [12, 61], [228, 275], [177, 236], [12, 93], [86, 146], [16, 71], [31, 100], [23, 107], [93, 168], [4, 56], [0, 48], [3, 69], [204, 250]]; loss = 0.023716 low_pass_filter = 0.300
+Epoch 0: | | 39619/? [6:15:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 39620; scene = ['5bb7220d29b597a2', '3a57a0567bc87e47', '68b7b35d7044c30a', 'e57b8cabdf4774dd', '8050b71974f850f6', '0bcb2d52be15ed33', '7751ffa57eebf919', '38d6a96206f7e229', 'c64b9e92d595242d', '909bf59987fe6c80', '45488397d2a130f1', 'fd01cd966a406b10', '75a614e20d102201', '6574e14e9734712c', '89881c5590c6fb13', 'a52ee89267dfab70']; context = [[12, 79], [44, 99], [30, 109], [29, 87], [10, 90], [70, 155], [35, 118], [37, 103], [28, 114], [110, 182], [2, 51], [1, 54], [59, 143], [176, 263], [21, 99], [0, 45]]; loss = 0.029698 low_pass_filter = 0.300
+Epoch 0: | | 39629/? [6:15:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 39630; scene = ['5fc78da0b2bb89a5', '34eec767c46f458d', '7c1e5a3898536693', '75b86a4e2efa0937', '9232ef6ebf4bc047', 'd0011aad43526269', '91f339b9c88c5648', '7d1ff82e642d5373', '44be74319748a608', 'e96060d1e31bf6c0', '63ba0cc0116eaca8', '3343ae50bd84d78b', 'dc1f97232358798d', 'd0e255176b3ceba8', '745ac5a5e04f923e', '2e1c9ec1ca255a16']; context = [[185, 261], [9, 79], [7, 64], [1, 78], [12, 59], [100, 145], [43, 111], [9, 83], [22, 73], [46, 97], [10, 59], [43, 129], [123, 192], [41, 104], [66, 147], [22, 93]]; loss = 0.024422 low_pass_filter = 0.300
+Epoch 0: | | 39639/? [6:15:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 39640; scene = ['cb7969e3c014c447', '99b8d16252e8bf6a', 'a5a65324d2c3e20f', '9c0dfa31d55ffc5d', '6c03ecd2106e542b', '3f275d1a2b75c460', '05eed8ae0ceee055', '8bb6a52eb7546b9e', 'e25fdd12f8ddbe42', 'fd8c58805a736806', 'f37cf46fe1969cfe', '5bfc07e208fce700', 'a9139b3b3fda05b5', '3a54044fe7cf177d', '1894db32c35c53f5', '2fd2e724a6a04576']; context = [[43, 108], [47, 115], [24, 93], [23, 84], [143, 209], [14, 94], [5, 80], [60, 143], [16, 80], [173, 251], [67, 141], [8, 69], [98, 160], [39, 118], [11, 61], [6, 60]]; loss = 0.023973 low_pass_filter = 0.300
+Epoch 0: | | 39649/? [6:15:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 39650; scene = ['1fce2d5038f7fe28', '892c09bee3c83352', 'd584fda314ab11db', 'c7bea6aa7296c50b', 'a4bfd76bce0d2976', '44081a1a9b1b183d', '7d08a5d6a3217be2', '6948d440d6aae7d0', 'c8af89fa161452c0', '30a815b0b47e8a6d', 'cf83070a1af0286e', 'c2c69f132eaf226b', '39953b7377e8fbc6', 'f6c9f7047e2256e1', 'eee30c0a00eff2c7', '3df33a689743b8ec']; context = [[1, 70], [29, 77], [98, 162], [42, 102], [47, 92], [2, 70], [19, 106], [78, 151], [8, 90], [61, 132], [38, 101], [58, 147], [145, 217], [23, 86], [23, 101], [1, 61]]; loss = 0.030282 low_pass_filter = 0.300
+Epoch 0: | | 39659/? [6:15:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 39660; scene = ['d5ff3791e665e700', '8cc4a9c07940e030', '821fc852654481cf', '5ec3fb8cde184b21', 'c554cbf54f3649c7', 'b2b78a32c4452275', '77222339f20463db', 'b7c906a0a3d5a9be', 'f54afaa529791d38', '2d9e5a21d252ae14', '76ff279455982eed', '9e3a0e80ccce007a', '857d4eb506c89618', '0fd40a7e2e3eab8f', '87397fc51bb6dae8', '36655ab822a014cb']; context = [[37, 123], [31, 93], [11, 64], [16, 83], [44, 114], [24, 100], [6, 96], [66, 122], [24, 81], [82, 147], [13, 96], [14, 74], [22, 93], [181, 258], [2, 49], [80, 151]]; loss = 0.020046 low_pass_filter = 0.300
+Epoch 0: | | 39669/? [6:15:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 39670; scene = ['2a4fe9d5f507d831', '548ad1b923e633d8', '92a1f3ab5dbe634e', 'e4e308c23086319b', '4e4985c5a76ac0e5', '26b8065adc153c13', '259a3164730654e9', '3d815e82280adf55', '962bb93ece5a86c7', '82287431217a5884', 'a6231e1d75daab63', 'ba76ae55718c204b', '9164e11049261164', '99e60f10e4d0acb3', '41c72cd693116118', '654b984035c8e861']; context = [[35, 95], [22, 68], [2, 67], [10, 82], [32, 85], [8, 83], [4, 68], [42, 105], [0, 52], [80, 142], [26, 104], [44, 93], [9, 78], [66, 148], [10, 77], [6, 54]]; loss = 0.028955 low_pass_filter = 0.300
+Epoch 0: | | 39679/? [6:15:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 39680; scene = ['e77413c3bd5a969f', '649c81d80ec01c3b', 'fb8583841b6fddff', '97ed0880252f9cf4', '0cfded185be45f76', 'fe0e03f65ade938d', '2488baa34ee1df60', 'a355f3cb04ce609f', 'fba0bd785cbf3eb5', '51d5937833d23e57', '2a33a1cd1a911475', '19fc0a7721a0b0be', '1a6582d593f05e31', '1de1180d284c6758', 'a4707894af988c79', '981ec506f38ccde6']; context = [[1, 61], [20, 99], [37, 116], [16, 78], [5, 88], [56, 113], [26, 91], [1, 76], [20, 88], [2, 81], [16, 63], [102, 165], [22, 79], [56, 112], [22, 100], [18, 93]]; loss = 0.023857 low_pass_filter = 0.300
+Epoch 0: | | 39689/? [6:15:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 39690; scene = ['b42ea7355de20abd', '1e31b7611058ffc1', 'bf02e2f3f0047779', 'c7be7b75f1571013', '0ec74c80b0542c7d', 'ee16ad65a39902d1', '1915fe94c9a3ffe3', 'c9c985820d5ccef9', 'd0742930092e8f5e', '1570f8996b68e773', '09e69ab157498eda', '35d5377711a700e8', 'a5c10a93cd252db3', '3970ac8ff10ef747', '9b4f66711630f639', '09b303aef92abcf5']; context = [[125, 181], [70, 129], [2, 81], [14, 104], [4, 81], [169, 214], [7, 78], [53, 132], [130, 203], [28, 84], [178, 257], [2, 87], [100, 160], [5, 84], [110, 194], [47, 127]]; loss = 0.022879 low_pass_filter = 0.300
+Epoch 0: | | 39699/? [6:15:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 39700; scene = ['38acbdcbe3c452a5', 'f169a39c736d726c', 'c38f283c8f0ebc3f', 'b7393e5e7dc3b8de', 'f53cad7b67ea36c4', '7e163d8a4406562f', '6e5216365c5fe309', 'ed6fb506dd413854', '34709fee2e3119e4', '11d5b692922b1018', '259fec6c43f1f0b1', '456e49b9cf11923a', 'eaeaf71b0ff6e2e2', '9623dafadfe20fbc', '02227bd2bf5727ce', '41ef6698fbe7aaa0']; context = [[203, 277], [3, 56], [10, 58], [115, 177], [13, 72], [16, 67], [1, 90], [23, 70], [24, 86], [9, 65], [140, 225], [0, 76], [200, 249], [26, 77], [50, 120], [3, 48]]; loss = 0.025992 low_pass_filter = 0.300
+Epoch 0: | | 39709/? [6:15:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 39710; scene = ['aefd1619f18cb89a', '8f2cfae19c1bdc3e', 'd3439c63b98e6e98', '265d9f82e49dcca1', '14e5563f8bc8b012', '714eac3395b83c9c', '5fb33865ad397908', '270c3e94da75a8d8', 'ce417ca74c6ce0a4', 'c536653897e9f3d3', '4cba1436a5f07e70', '1297e85443bade59', '85a4a22d86fc3b8f', '93d0907e4e9dfc64', 'e892b47d9040ac89', '47a15e60ae728339']; context = [[0, 79], [1, 72], [69, 129], [3, 86], [25, 107], [44, 131], [72, 120], [8, 90], [29, 84], [14, 69], [155, 200], [2, 52], [226, 278], [74, 164], [14, 67], [81, 126]]; loss = 0.023930 low_pass_filter = 0.300
+Epoch 0: | | 39719/? [6:15:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 39720; scene = ['e8f861465ba60d8e', '95db38a93027169e', '86238485ae316522', 'a43dcebff84ddba2', '45d04b9824b1d3db', 'c335f6430f3c6c02', 'a224bb34d94bbebb', '7442e8d1f450ec5d', '43796a5e9835d23e', '5b6e4e886fe8aa82', '19242e2977432835', 'd3d939eb13d3e2e2', 'bb5dc6563967a1a7', 'c64522975c1b787a', 'a23c9a6f908d54ca', '5446148b27f5e5ea']; context = [[23, 91], [211, 256], [13, 77], [115, 169], [20, 68], [20, 100], [13, 89], [37, 113], [0, 61], [4, 49], [4, 61], [51, 133], [6, 64], [87, 175], [14, 69], [42, 122]]; loss = 0.021295 low_pass_filter = 0.300
+Epoch 0: | | 39729/? [6:16:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 39730; scene = ['36207c22e4ef1437', 'd3d8f60e4ba32fae', 'd75bee1cfe6eb53f', '5ab3d7a64b47ab52', '4cd552b90b7668a4', '6b481d7f8c3e3887', '5305f13cbd5351cf', '34ffc4903e3a1622', 'f95e0bbb315250f4', 'c40133dd82bfbd0c', 'a740e82dd72e351d', 'e5f6c40c0454e1aa', '51c99c6fd15b519a', '1f3dae4428a8d9bc', '0583810be7bc8bf8', '448da348dbaf99c4']; context = [[82, 163], [14, 74], [8, 83], [1, 60], [57, 133], [108, 192], [85, 169], [14, 59], [145, 213], [4, 75], [17, 104], [1, 71], [92, 169], [1, 46], [31, 102], [3, 84]]; loss = 0.036941 low_pass_filter = 0.300
+Epoch 0: | | 39739/? [6:16:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 39740; scene = ['4e4913bf8b67bc4d', '1d4b7b05128e949a', 'a5b8b5455e23f83d', 'd28dc379932db402', 'e7b0d2b0f8345433', 'bcb2e6defe083126', 'b29d23d76f4b1f60', '34b6c365004325e7', '4be41d2ae3c6c617', '85b89f911b62c310', 'd6fb3530ec7b97c2', '1a7b857d206b5e11', '580cfd410e2cc3e8', 'c2f79eadd57323ce', '93b1c2796a3fc4b4', '5681ba36cbd7b536']; context = [[14, 78], [2, 88], [13, 63], [12, 59], [7, 54], [53, 118], [7, 64], [29, 92], [95, 171], [0, 45], [84, 171], [32, 77], [29, 85], [2, 69], [143, 206], [13, 72]]; loss = 0.024906 low_pass_filter = 0.300
+Epoch 0: | | 39749/? [6:16:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 39750; scene = ['b4da38076c68ce1e', '79f526b49d544ba7', '4c5bb6ff3f9a39e2', 'e3678a1a23493b00', '5054bdf3153e5786', '473e019493f80269', '5d9e6cc4ed87959c', 'b8f235ecb665c9be', 'f4c1819dbccb953b', '452903cbbb0f87db', 'cf7ae8e62157a6f5', '1ca246326f3ba534', 'de7a63a9ff99be70', 'd56ac01183d2f244', 'e0bdb159d8c138c2', 'b5dbbbf30fc7a602']; context = [[0, 45], [37, 83], [95, 178], [0, 51], [32, 119], [31, 93], [40, 116], [96, 159], [29, 79], [1, 78], [6, 59], [107, 174], [63, 120], [3, 89], [4, 61], [5, 52]]; loss = 0.022588 low_pass_filter = 0.300
+Epoch 0: | | 39759/? [6:16:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 39760; scene = ['5888770aaa4a968b', '5b357eed900357ef', '1cb6b3a29a639e63', '8717033b0c015117', '08229b370b6679ab', '89200a23ad856a24', '9507201d84c13ca2', '1b27574df699e0f1', '785b4e92df170c53', '3cc8d06011dd9207', 'b868a5e2c04c318a', '88738a0216eaac3d', '303d4152e23ed544', '85756e711ab92320', '06d2876e8c40a3b6', 'ea6695c6dc07a131']; context = [[7, 88], [25, 83], [5, 69], [1, 65], [4, 63], [49, 128], [23, 76], [12, 70], [15, 70], [7, 62], [70, 136], [1, 59], [101, 153], [28, 78], [5, 86], [2, 81]]; loss = 0.037044 low_pass_filter = 0.300
+Epoch 0: | | 39769/? [6:16:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 39770; scene = ['ac0880525e3d3c59', '0d24a9841d825fe5', 'f648f8f5c2704677', 'b2d281a2a3be0076', 'f4a5946de9def774', '8f8e3a8ddea46cca', '58b26791bbec77e9', 'c44f299b2fe274f4', '5462f0ae4bc078bb', '6d9bc6eee9eb9927', 'e888bfab74a31d61', 'ea5affe8ff166ec9', '3daebb222ab668c9', 'f88d500b5ea5615c', 'e0ee598872cce8f2', '9d754f3327a35f96']; context = [[8, 81], [22, 69], [23, 68], [149, 214], [25, 90], [8, 77], [158, 203], [7, 54], [15, 98], [147, 196], [148, 205], [24, 77], [2, 87], [19, 74], [7, 62], [2, 69]]; loss = 0.029990 low_pass_filter = 0.300
+Epoch 0: | | 39779/? [6:16:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 39780; scene = ['d60624e14709aca8', 'e90ed5155007d77b', '39ba141a740bd82d', '8169c8faa57d4f73', '2da0d2a359988cf0', 'e407e438aa7e9206', '4646bbb28f1eae0e', '91e6d5db234847dd', '2d2956eda43da92c', '03ebe8f7060a0adb', '6d924b8977d59cbc', 'ecbacc0f6e82298f', 'bf18f5ce237cd08c', 'ec4db803b81a0bdc', 'd213ce3b97719343', 'dac3810c49d3ab7b']; context = [[20, 90], [35, 88], [16, 97], [98, 169], [26, 98], [1, 52], [53, 111], [18, 64], [1, 66], [1, 67], [1, 63], [50, 137], [97, 176], [0, 70], [92, 155], [46, 107]]; loss = 0.022760 low_pass_filter = 0.300
+Epoch 0: | | 39789/? [6:16:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 39790; scene = ['1ca1a938ef8d7dfa', '7754a66cbcf3db22', 'fd397ecbd5d6b4e3', '93fac9602a1702de', 'ce81fbe67b6d91f7', '8db206b0faa1b032', 'e78668ecd87257dc', '86ddb8cd0b6f0741', '3b4f5b58eaa9e909', '4fd26cdcd92cc984', 'b7cc7c503b10b878', '4700b4a628c6131b', '45677926c908e6e5', 'b5ad3c2c360db727', '5b511f6b48cdb84c', '165d9989e76cd538']; context = [[12, 71], [18, 90], [3, 73], [17, 87], [27, 87], [0, 61], [0, 56], [0, 48], [2, 63], [4, 74], [4, 70], [47, 92], [0, 55], [8, 75], [41, 99], [43, 128]]; loss = 0.043315 low_pass_filter = 0.300
+Epoch 0: | | 39799/? [6:16:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 39800; scene = ['c9e3c2ac3353dbe2', '52d73f2b4a57e0b5', '7debdb126491a6f1', '2c9f90a258615478', '4fc949359dd32d33', '4c86dd7941950d46', '9645f69ae0681927', '824bd75a1f047775', '55077c16bb911561', '4ac625439e8fd4fa', '7f08ab811c931e53', '040dc3f1487e4d7d', 'c59db35862c825ed', '94034faf0ea1937a', '4c621e01ec8ac45a', 'f6059815a2a1e912']; context = [[21, 101], [19, 89], [42, 126], [0, 55], [0, 46], [3, 93], [3, 69], [20, 101], [5, 64], [77, 159], [3, 56], [10, 84], [25, 82], [23, 95], [16, 79], [119, 194]]; loss = 0.026510 low_pass_filter = 0.300
+Epoch 0: | | 39809/? [6:16:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 39810; scene = ['10f90d9c4a367c03', '7b3e257b238625ba', 'f350794b2c5ff77d', '3cb91e14821b7e05', '085e4359ecce8ec6', 'dbb06d677a5501c8', 'bf716993f39b898d', '6e134a43dd944704', '9e0314ddf81cdcd0', 'e44b389e002db5e7', '472769038b06eac3', '28b29bfd875bf3a6', '4810fdffa87c36f1', '5adbb5c1b466fdcd', '2e5bdbb0f8059c45', '71e569007889ec0a']; context = [[72, 119], [75, 165], [20, 101], [2, 61], [42, 115], [23, 72], [25, 84], [44, 117], [105, 173], [49, 137], [33, 89], [73, 158], [2, 67], [64, 117], [3, 49], [1, 46]]; loss = 0.030976 low_pass_filter = 0.300
+Epoch 0: | | 39819/? [6:16:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 39820; scene = ['ff022319df48586a', 'e6683441e899b7ad', 'c73d3bd74c1973fe', 'e0a88916f5977690', 'a1d8ab6deefc971a', 'e5a612f26db49308', '7dc497c9d9fc9dbe', 'ebe21549c614d5e2', '343a4e21bc309742', 'ba9c1f1d7b31aa0c', '3e07ac19a6be1efd', 'e7bc763f52f6d941', '8d96b0810c1474f0', '4ec56d4d5fd32c0d', '8b584a8dd9618d1c', '3c80b69ca39d44e4']; context = [[8, 97], [6, 80], [1, 75], [47, 99], [27, 103], [21, 99], [6, 65], [29, 98], [167, 212], [1, 68], [84, 141], [3, 69], [15, 99], [9, 62], [82, 153], [182, 267]]; loss = 0.025045 low_pass_filter = 0.300
+Epoch 0: | | 39829/? [6:16:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 39830; scene = ['6ac5014676fde670', '1cfcb6959bfd3834', 'd428826914bed12d', '9d52321034c270c0', '43dc5c8c8859dc3c', '199a9ef5a23a3db9', '4f41b0ce610b9bc5', '341986d27509ff20', '3820cb5d4ed07d1b', '4f169d470b87ffd7', '6cdbcf635b46fa7a', 'b43fed931703ab76', 'bb6af706745a579c', '80df049a2df21988', '2f799acf6bbfcf79', 'e0ca058fbb73495e']; context = [[57, 141], [12, 58], [30, 116], [7, 81], [3, 65], [126, 174], [0, 56], [47, 135], [28, 90], [4, 50], [16, 61], [2, 91], [25, 105], [27, 84], [3, 54], [42, 117]]; loss = 0.027265 low_pass_filter = 0.300
+Epoch 0: | | 39839/? [6:17:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 39840; scene = ['0880d9a3b5075a1d', 'd86035742b47f9c7', '08a29c5d2d185c37', 'e3feedd0d8a763b5', '072344f6360d35a8', '9d40336406cbd2cf', '73dcfeb28e092101', '1f474bfca64a4430', '88520ced9265487a', 'fd9dd0f92a722b60', '385ab81eccafde89', 'cb3c5dd27b9fbac1', '7f2b23815b279b3f', '0225b100c433537e', 'd1e2fc28d67d81ad', 'ad7fa9a94376b1bb']; context = [[54, 107], [45, 100], [18, 102], [1, 79], [0, 52], [6, 88], [28, 77], [0, 66], [22, 72], [51, 110], [0, 54], [0, 71], [15, 95], [4, 70], [6, 89], [26, 78]]; loss = 0.022802 low_pass_filter = 0.300
+Epoch 0: | | 39849/? [6:17:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 39850; scene = ['f7ac4679fb8c22bb', 'ba2cf4bb07121298', 'e37e8c48fc915a0b', '4dfc0af729a8bb18', 'ec3cadce0704357d', '5e4d24795724b02c', 'c0a52256adc1777e', '5733f4920106412d', '7c24aab4627df28d', '7971e8a6e8b14bce', '86706e7bcff2d9bb', '83b8d48dd4198ada', 'ea74cb4771949789', 'ae46c18afc8ab55f', '13b32cb917dc8b6e', '1c9964c74955e91f']; context = [[10, 62], [11, 86], [39, 87], [0, 63], [13, 92], [115, 164], [34, 81], [21, 96], [97, 177], [9, 71], [52, 133], [74, 138], [0, 48], [59, 146], [10, 74], [30, 120]]; loss = 0.027030 low_pass_filter = 0.300
+Epoch 0: | | 39859/? [6:17:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 39860; scene = ['feb37a1baecfb69b', 'c49c716e0257136d', 'b536b0e6d426b566', '426dd580102633b2', 'baf711049daa6d83', 'e1d621f68b89f987', 'e9fa2875aefdb532', '342cf894bcd94642', '4f35c00df91f0fc1', '8c8d275be1d9c9c1', '27c1a03e4474dec9', 'b72e9f8ef1767537', 'ce61ccc4d291fb9b', '0d71795b5a29c8e3', 'df3d9e0d9c57b60e', 'e5b3c987f0c0c044']; context = [[17, 79], [2, 61], [64, 110], [103, 182], [84, 129], [22, 105], [33, 121], [62, 151], [8, 79], [12, 87], [125, 199], [1, 88], [4, 49], [1, 86], [4, 53], [7, 84]]; loss = 0.047942 low_pass_filter = 0.300
+Epoch 0: | | 39869/? [6:17:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 39870; scene = ['4b3c28188059d92c', 'fa89f1fce81582eb', '7f641e956053cace', '52d066afbd70230c', '89614f45fd850d4b', '53b33a6fe970d684', 'bb753c83df751766', '8dca16105b5a73a1', '6bea7eee33dcbaea', 'dd0ebd35e7a477a9', '285a5ff4cd043e2b', 'd5da5339a1e2b2ed', '9b6640a5fd61ba73', 'a034eaa2c3bab991', '55a45d0dd8d2c98f', 'f8b97071c3db77f7']; context = [[2, 89], [8, 98], [11, 86], [4, 53], [16, 95], [77, 127], [15, 66], [208, 257], [14, 78], [124, 179], [73, 122], [31, 88], [161, 207], [1, 71], [16, 98], [28, 75]]; loss = 0.024742 low_pass_filter = 0.300
+Epoch 0: | | 39879/? [6:17:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 39880; scene = ['ce2deab59d936025', '920fab707245ea20', '4f3759423dae2bd8', '3a4c6b8c9f9455b4', 'fcba395df8e2498e', '193fd7844fe703bc', '96e97b817621a36d', '0f54778155d5fb15', '4f7e0130b1068114', 'd9e9cd2134b9d66a', 'dd64afc2f397641c', '1c9d377f12e3bf79', 'dfa9b3fdc5798a43', 'cf7c0bb5089abf7a', 'c379d1f2aa883b74', 'af6f104783d5dd99']; context = [[92, 137], [6, 61], [30, 98], [12, 57], [170, 240], [7, 72], [17, 67], [3, 62], [3, 77], [54, 106], [90, 165], [8, 66], [85, 148], [10, 76], [5, 59], [104, 169]]; loss = 0.025337 low_pass_filter = 0.300
+Epoch 0: | | 39889/? [6:17:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 39890; scene = ['8fcca8a4f0e2877c', '971dd6aed961bf0e', '000e285b03f3fddf', '9cbc2da15fda5454', '95ef183fe01ef0f5', 'f94eea89d7b3b888', '7b93613b1455e530', '94c24d79a85823f3', '91d3ff9286d99d8c', '1f7ec5a77a7679cf', 'f5ce65e9a52c64db', '6c6a9874616bd4f3', '7e4fbd1d49769350', '2997ec72df5bd3b2', '4746597c7f62d8b6', '17487b231252bcb5']; context = [[9, 67], [16, 100], [21, 67], [1, 47], [38, 112], [72, 154], [23, 99], [13, 71], [18, 64], [69, 142], [12, 73], [62, 128], [17, 86], [6, 86], [4, 83], [32, 94]]; loss = 0.051109 low_pass_filter = 0.300
+Epoch 0: | | 39899/? [6:17:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 39900; scene = ['ee3f3bcb1009b7b9', '3cd73f5f79d0989f', '1f9c765582d1ffac', 'cfcadf0fe447c04d', 'b7b3c6a2d1d6dc61', 'd8d2bdf1e73f63fe', '3c3e1619744887ca', '3604d95a480cfe31', 'aa5fd8173f0e59f5', '6e3772dfbac86778', 'db13eec5ac6b1c56', '067ffc09a8292608', '510e05e121226e7c', 'ed981652ad74f345', '3055585671a8da3f', '40d0d59dea80c743']; context = [[32, 98], [14, 84], [23, 90], [46, 91], [65, 119], [48, 98], [56, 107], [14, 91], [20, 85], [208, 262], [3, 49], [1, 78], [4, 71], [3, 51], [108, 173], [85, 136]]; loss = 0.024582 low_pass_filter = 0.300
+Epoch 0: | | 39909/? [6:17:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 39910; scene = ['fa83934d7b66b475', 'd3d59e576e4a4994', '05c29d863074fdef', 'c6e306b85165a748', '3ebe1e839b0db4a2', '968cea950767945a', '40965c5a956f5125', '65bfa207128b0f4c', '236ceca53fa65093', 'e98e3750dd7d6a15', 'b17689b8a65a6efa', 'd68c6b96dd4d2bcf', '28072b33e95ba5c0', '8d7095ce41fde796', 'c7ce5ef449733d11', 'f19b5dda587c3c3e']; context = [[22, 81], [15, 104], [51, 122], [122, 203], [27, 105], [14, 80], [4, 55], [77, 129], [8, 83], [89, 161], [103, 151], [4, 70], [5, 57], [1, 52], [22, 76], [5, 69]]; loss = 0.024126 low_pass_filter = 0.300
+Epoch 0: | | 39919/? [6:17:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 39920; scene = ['8145a4774a6a2fd3', '830cc256a754ed8e', 'bbc62daeaf77bf4f', 'ce7ac9da5348c18e', 'a48acbe4b04dda97', '665d429d01b05d14', 'a10132778a587ae1', 'd2142814c63e8686', '309a175f1e06b80a', '4a92e8a638e8c57c', 'a7c3a68b9b25a47b', '98cb259cd905b8ac', 'f58b10fef6de3ccd', '5da0339960419957', '30a4c264291caa0c', '8a2acc2f183dcfb5']; context = [[7, 88], [38, 103], [0, 52], [28, 89], [38, 100], [65, 140], [125, 193], [4, 50], [127, 182], [38, 113], [0, 64], [10, 74], [4, 75], [5, 95], [94, 155], [54, 136]]; loss = 0.030815 low_pass_filter = 0.300
+Epoch 0: | | 39929/? [6:17:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 39930; scene = ['3527c9327919201e', 'd81254badee593da', '13f9e034ed17801d', '673fbdab349ed945', '184239156b2c35f5', '5fb80ae92d0685a6', '79ac8c1697071605', '021304d1e09c8b5f', '300272f7a17b746a', 'b8b4d4e967b1eaed', 'c44c89003028942a', 'c0bf06f467375743', '773eaab0c764d745', 'a99dc3202017e7ff', '690e51b50279878b', '53078019d1b8b4af']; context = [[11, 77], [15, 64], [17, 66], [4, 74], [51, 139], [42, 118], [2, 54], [11, 65], [127, 207], [15, 67], [33, 107], [51, 109], [9, 84], [0, 88], [115, 182], [8, 64]]; loss = 0.022235 low_pass_filter = 0.300
+Epoch 0: | | 39939/? [6:18:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 39940; scene = ['1938b4028f35687f', '9f7c4b5ca8ee797b', '90c259be0125cf62', '64640ee4ac837e94', 'e88d6bc783b9c74a', '6fabfcc7883ea4bc', '82657a45e8659c6f', '93ae4ef75b0947e2', 'd56c2c0989d530c1', 'ff092f1b478b1968', '22784cd40adaa61f', '02525e607954e087', '870d17d7b9fd12ea', '087818aee1647d16', '1bf0556129bdae95', '86aae4818a6082d9']; context = [[45, 119], [37, 82], [6, 58], [2, 64], [3, 72], [12, 75], [8, 65], [16, 90], [0, 46], [106, 183], [20, 102], [81, 158], [18, 98], [5, 57], [17, 74], [89, 164]]; loss = 0.026118 low_pass_filter = 0.300
+Epoch 0: | | 39949/? [6:18:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 39950; scene = ['96a72c23cc148c1e', 'af662abc8d684583', 'ab6cf8dbf75be791', '3530f6b502c4870a', 'f05d3d6ad73a0308', '828e898c133cf87e', '4ad86d4540f00a8c', 'b0d843ba835f493b', '6a2138b2b639f9fb', '8420ff3c64b30c99', 'fbd2c20f5033d7d8', '5689c9983b642392', '1f1e2bbb82d871d6', '11b07c1ff511c097', '61fb7783fff731c0', '4b9f648daf5a382d']; context = [[19, 72], [111, 198], [34, 115], [162, 246], [10, 94], [2, 65], [140, 223], [33, 113], [3, 90], [9, 64], [23, 82], [141, 215], [3, 91], [23, 113], [204, 254], [2, 48]]; loss = 0.028340 low_pass_filter = 0.300
+Epoch 0: | | 39959/? [6:18:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 39960; scene = ['a907466e93b043b3', '03efa181c819191c', 'c66b61d7b4321a7f', '66b694fe836f9b02', '85eec96037fb49e4', 'abba67b06f58671b', 'd66edca2b7f5d7e8', '2a47c55e0192a848', '07a5fe80f25f8a79', '30c5f73f51e9d378', '0f9b44ae51221943', '7f53eedebd3fae2a', 'd4a8c8940a309380', 'e088974b4405f213', '725eaacaafc27d0b', '1fc3d3e70c446606']; context = [[96, 162], [9, 97], [1, 48], [0, 77], [3, 54], [8, 53], [5, 50], [40, 125], [2, 58], [33, 120], [30, 85], [16, 66], [27, 108], [14, 71], [8, 91], [23, 72]]; loss = 0.024391 low_pass_filter = 0.300
+Epoch 0: | | 39969/? [6:18:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 39970; scene = ['f14dbb2243b1fac3', 'd8a8dc110167ff23', 'f0ad94005844908b', '0c8d8a68736d158b', '6679553589e68811', '9b5b0457cd0a1fde', '5a2953008c747c2c', '87b9c2954fe05751', '97efb1c9d012a89a', '206c406cbb54c9d6', '3f439ee888325de4', '45fff92461a9cae0', 'a5755fb377071cda', '714c3dc97fac769a', '10c8704bb6745b6e', 'c173b9087fb4126a']; context = [[61, 139], [56, 105], [43, 92], [5, 57], [4, 71], [5, 50], [69, 139], [46, 127], [22, 68], [7, 84], [149, 212], [0, 55], [41, 90], [34, 81], [135, 184], [3, 71]]; loss = 0.031508 low_pass_filter = 0.300
+Epoch 0: | | 39979/? [6:18:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 39980; scene = ['75840717ecdc2325', '21691784e9e84e35', '89d2c2d9e3aee457', '6f3b47cc1831979d', '334f192d01193f36', 'd5788ecb38219348', '81124fd6dfc66253', '6131f8c669e8060f', '706571cd6a9c16a4', '6d88accab8099498', 'd24a77552f5d1e72', 'fb93194f2d98089f', '8e6304e5675e43c8', 'ad76b8a71e226efc', '5b793e7daeff4390', 'f4a8f55651b1b8be']; context = [[8, 73], [2, 82], [30, 107], [24, 84], [22, 91], [35, 115], [14, 59], [74, 122], [84, 159], [8, 95], [11, 77], [180, 264], [16, 65], [3, 48], [17, 63], [63, 133]]; loss = 0.023410 low_pass_filter = 0.300
+Epoch 0: | | 39989/? [6:18:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 39990; scene = ['6cd738daee326500', 'd1f43e65f28ce3c8', '0825ae880bd3922f', 'e4169ebd4ebb1035', '737535b2deaf95e5', '450a8009cd7801f8', '8aa5ccddbcba09de', 'a7b6de0edf8b5430', 'd326bfbbf5581ec7', 'a0323e6cfefa3aab', 'b1d0300a26f2b3d7', '8e0a13fe11111b79', 'bbca804a517e6761', 'a7045b13eef794d1', 'c6fa11aa48b3c933', '073e687120bf353d']; context = [[24, 81], [60, 140], [4, 54], [5, 69], [0, 81], [18, 99], [9, 78], [6, 62], [37, 126], [3, 61], [1, 50], [1, 80], [121, 182], [9, 78], [0, 58], [66, 132]]; loss = 0.026851 low_pass_filter = 0.300
+Epoch 0: | | 39999/? [6:18:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 40000; scene = ['7756f38f665b6069', '0ae58aa19818b174', '9b91b65722716f0d', '3d35045d9acd8376', 'fda14bdc251f7866', '5390abb4147a0035', 'be32cdc488ce00c8', '104b4e0db94e667d', '883829eacd223cd3', 'e6f3acdbe3c6ec77', '34160faa9ea64eff', 'de5c7c6d409b1972', '39559d661f746739', '432bbc60a010b15e', '4514a5c68e922b2e', '34dd90f74228f1ce']; context = [[56, 122], [9, 67], [27, 87], [9, 77], [29, 112], [16, 79], [100, 148], [7, 66], [118, 167], [0, 56], [113, 178], [34, 107], [2, 92], [90, 137], [1, 51], [2, 60]]; loss = 0.024435 low_pass_filter = 0.300
+Epoch 0: | | 40000/? [6:18:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000validation step 40000; scene = ['a40e8321989a05f4']; context = [[24, 78]]
+Epoch 0: | | 40009/? [6:18:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 40010; scene = ['3975666832e5ad4c', 'b41ece74dd5aa87d', 'd1ef42d624a95717', '2084683d8f4f7078', 'a4e0a5d505358390', '93b0d5f4f00f5971', '12dcff965389b09e', '283389655c3f1483', 'e0e41af517c97c32', 'c9c1e2b910019ebc', '34cc043eac727166', '8bf4fe01a15a68bb', 'eddda29a27d55c83', '736d4b798beb0a35', 'af3a65a2494dd781', '6cb4ac9555d8dfb2']; context = [[9, 54], [2, 60], [5, 51], [7, 82], [0, 47], [8, 62], [48, 115], [14, 73], [2, 67], [8, 68], [107, 153], [1, 66], [8, 82], [15, 90], [49, 132], [19, 71]]; loss = 0.028570 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 40019/? [6:18:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 40020; scene = ['5b64b5760c7503f3', 'e54719c9dbecbac1', '56a3cab917fb2f23', 'dd086087400ad408', '58275614cf462346', 'd412ad2f6f4b6e07', 'a17f93139405f229', '7e5005dc1c3df373', 'e58a3f8dc3c3d1a5', 'b48966a0343e587a', 'f44c8d1713e71373', '09e512be1e27393c', '09989abefdf386f1', '82a5978dd33be41c', '57282e8799c666da', '843822ab52831c17']; context = [[4, 64], [13, 100], [152, 238], [36, 83], [2, 90], [17, 90], [123, 212], [26, 87], [20, 81], [14, 60], [1, 69], [2, 76], [4, 89], [71, 121], [89, 143], [17, 88]]; loss = 0.024218 low_pass_filter = 0.300
+Epoch 0: | | 40029/? [6:18:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 40030; scene = ['18e36552c4bd047e', '2463d599a3a85278', '87e226c85ecc330e', 'f5a9f0d1b2bcf821', '2285965899520b4d', 'd2fe9517cb9179f9', '0b8615515af26142', '9baf7af601a97b2d', 'e95157a508d02a96', 'c9fba70bcf4d476a', '6fb0338f8e7b7f9d', '398dbb8cbc0f82a0', '8c36ce2987991993', '312e0e2bf77a6dcd', '523cf0953b144d3f', 'b7eb5219c8161446']; context = [[6, 53], [15, 63], [1, 48], [66, 138], [16, 95], [15, 80], [20, 82], [40, 103], [28, 102], [29, 96], [65, 155], [42, 119], [6, 80], [196, 253], [72, 120], [29, 86]]; loss = 0.024659 low_pass_filter = 0.300
+Epoch 0: | | 40039/? [6:18:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 40040; scene = ['fc91bb2b1617d9d9', '713b4264c0e50db6', '60ac7d5bfa839dec', 'a1af7a5b9d69b1ae', 'eb2becccddf18213', '54ebd66fdb8ea8d1', '85b47098a2719390', 'de2e5e6b67f0f839', '1bbae9efd3ab5f9a', '702321e02e868bb3', '70510cc2d237391d', 'b1c4d70d8078acb5', 'ce63205158d1f694', '82b8fde17b54a3f5', 'ecb694088ae78f7d', 'accb755285389002']; context = [[49, 105], [36, 104], [6, 56], [0, 66], [2, 62], [115, 175], [8, 54], [8, 53], [93, 166], [7, 66], [85, 154], [78, 132], [11, 69], [0, 69], [86, 162], [119, 176]]; loss = 0.024100 low_pass_filter = 0.300
+Epoch 0: | | 40049/? [6:19:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 40050; scene = ['2482d2f8a6a0d6ff', '9e6f038db016e16a', 'bc1cf0bfa3d4c6e3', 'fb92eb30e26882b8', '64d99794e597251c', 'eef123055b3c48f5', 'cd6cc36100bcb831', '7a7a6e420122259d', 'fdea0d77c74e62d8', 'd6676525b3a8b508', 'fa3d7ea00b62e8da', 'c34efa1505a0cfaa', '9ebc32522a5d6bfe', '9b26bb403d1d515e', '88b54484f742e069', '4fb40dc3a4716a0a']; context = [[101, 189], [3, 60], [41, 129], [47, 128], [109, 170], [94, 150], [6, 87], [6, 68], [5, 53], [45, 119], [102, 191], [35, 113], [18, 94], [57, 106], [1, 61], [60, 146]]; loss = 0.025491 low_pass_filter = 0.300
+Epoch 0: | | 40059/? [6:19:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 40060; scene = ['d811b8f5953a9b62', '03a4047c49065b31', 'c78363372eaa6b51', '0691f3bd7ba0973d', 'd63160ea8db69f94', 'ebf2ad60f1f00ee7', '4d03b4a228109602', '91b548615aa3a6ea', 'a6d7ad61aadbc7f1', 'd8d76c5a94df95f6', 'ae8604a4d90f2274', '05e57498aeca6d81', '449002ada2ccb247', 'e5545e30f772706a', 'cfcb5dc84a930779', 'fa1e78f4c605baf6']; context = [[2, 53], [48, 124], [9, 95], [14, 103], [2, 89], [63, 135], [9, 84], [12, 66], [27, 89], [21, 89], [7, 54], [99, 152], [0, 78], [110, 162], [21, 111], [44, 89]]; loss = 0.031704 low_pass_filter = 0.300
+Epoch 0: | | 40069/? [6:19:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 40070; scene = ['6a274b8bb4d422a3', 'efd3ca549d038fad', '5c59da280310df57', 'c484654b88b52c11', '346727f21be2942c', '1e4386d32ed7e8aa', '3653999b060232ff', '91cbcbb9265e8357', '9ce391fc1fec85bd', '1ebed7a736c390cb', '84b1a75990da41c8', 'f7f6647e5733d3fb', '1e483388c44e927b', 'a3436e3b6d289dcf', 'b7910be2e79e221f', 'ca2f347f5185e4cd']; context = [[41, 90], [109, 172], [118, 164], [12, 70], [17, 98], [52, 131], [9, 87], [1, 53], [6, 58], [64, 131], [32, 83], [37, 99], [3, 49], [96, 161], [91, 170], [38, 86]]; loss = 0.024678 low_pass_filter = 0.300
+Epoch 0: | | 40079/? [6:19:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 40080; scene = ['e81941e5c1fe55cb', 'd9dd6e0b1550b1ee', 'eefdafedf732e5b0', 'c74969cf2d6052dc', 'f1eae9bf3eb4bbbf', '8fba4dda8330a838', '9734a6ac6851402e', '21d5589de63e3aa3', 'f80859e8c15ef7a6', '2e1683f4a3d685f6', 'ebbc7470ea8b3b47', 'ab025c320810e5c6', '47166c905c357e7f', '1720bc14eb54a419', '6f2584adee7412d6', '21f0b62cb5810288']; context = [[1, 78], [52, 131], [136, 211], [2, 53], [0, 49], [61, 124], [47, 95], [2, 47], [2, 69], [2, 83], [82, 128], [6, 71], [32, 105], [15, 105], [131, 204], [64, 110]]; loss = 0.026407 low_pass_filter = 0.300
+Epoch 0: | | 40089/? [6:19:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 40090; scene = ['9651f5e8192c6ce7', 'dafe4fbc82947a40', '876a49fd60e9f34a', 'de137923eba18ca2', '025a7502ca9a1e7b', '8fed63c4d0bc7a2c', '592feeb20bc84cb7', '1f3cc35366700ee4', '8861e06664d052a1', '58727127092e350f', 'e1ae6d3a294ddcdc', '834947156a227a06', '53c9804b50ad99ab', '4748781f185e7376', 'dbca37f95c1d9d32', '393cad5031f75f17']; context = [[8, 90], [7, 84], [80, 162], [20, 84], [30, 96], [23, 70], [196, 241], [114, 195], [167, 219], [16, 99], [0, 68], [0, 62], [7, 92], [31, 106], [31, 95], [93, 179]]; loss = 0.032585 low_pass_filter = 0.300
+Epoch 0: | | 40099/? [6:19:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 40100; scene = ['71aaf67494c15541', 'a9be936ce1c3dcfb', '672d0bc9c604fec0', 'ca1e4b3a2e0ecc01', 'd9effdd73ed277c5', '7daff376c0f8bb2d', '246fed0a9b054ee5', '2a70bb9827ef6e47', '45c4109dd630d30c', '6a4f9df3e53abd9f', 'e88d5253019ba9b1', '44622d3502746b3f', '19d96b6971317c11', '23f62714f8f083e3', '0d9483dc76901c4a', '4a7cdb52e115a287']; context = [[23, 75], [42, 96], [4, 71], [65, 128], [68, 139], [33, 117], [92, 165], [113, 178], [5, 75], [79, 168], [17, 69], [55, 118], [3, 50], [4, 63], [94, 172], [5, 82]]; loss = 0.024476 low_pass_filter = 0.300
+Epoch 0: | | 40109/? [6:19:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 40110; scene = ['45c36cbc30b2dedf', '3fd051acceb87333', '498aae6952e2e0ed', '75f9aaf96a2cfbfc', 'e69b2e2b9909e847', '8bd7c7d5d956e70f', 'fa037f2a55450c9c', 'b13c91ea8f5f8796', 'd8d663fa411e9d83', '5b0a79367da2b1bb', '3c26cfffc84d7f05', '1d98f8f51eeb0b35', '19ce63f02fd326bc', '51f77212038ce127', '669f7951fd537e6d', 'afae3a1f503aa2a6']; context = [[0, 73], [22, 74], [18, 93], [81, 143], [37, 107], [10, 55], [43, 123], [14, 74], [1, 63], [0, 69], [11, 65], [26, 109], [7, 64], [17, 79], [136, 222], [3, 59]]; loss = 0.024952 low_pass_filter = 0.300
+Epoch 0: | | 40119/? [6:19:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 40120; scene = ['356cb2eda655b967', '6d6b71042cb11255', '646e226b3273506c', 'cea25fc17ec9cf53', '4da5d0ad927bfb10', '5c0bc82c30577aa6', '583731a36ed85338', '92c9c24bacf4d6ee', '4a5c30a0d83cb220', '5f02f8ed9e9c36ed', '097dcf41471c991b', '3000b088e47a2af4', 'f1d7fe98bc4a1f74', '3ff347bd894962d0', 'c273fcb8b4944e49', 'ae8f3eec2c35f2d8']; context = [[41, 96], [142, 191], [3, 72], [8, 82], [42, 95], [9, 57], [67, 144], [79, 128], [46, 124], [156, 221], [40, 97], [19, 68], [0, 73], [70, 122], [42, 87], [124, 174]]; loss = 0.024268 low_pass_filter = 0.300
+Epoch 0: | | 40129/? [6:19:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 40130; scene = ['5f19088fcdebb2c5', 'fd736740ea4abcc7', '398387e65925128a', '65cd58dfb9df8a99', '4188a5e607ad1fb9', 'd9f4d087b09b5361', 'e2101e24b745e35a', '87ddb273a2668496', '05f3364c68280447', '80fdcecdeb194bd8', 'dc3fe6f0dd9c89fc', '968e4bc6074896ec', 'bf8d7d53329bfcde', 'a210d76ab2d20a1f', 'fc504639d23d4991', 'cd0b540ef134b6e7']; context = [[34, 117], [1, 48], [8, 70], [105, 189], [27, 111], [5, 71], [68, 115], [158, 239], [80, 138], [4, 52], [10, 81], [30, 86], [56, 145], [41, 111], [37, 116], [52, 112]]; loss = 0.031547 low_pass_filter = 0.300
+Epoch 0: | | 40139/? [6:19:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 40140; scene = ['9f62a023f2d748f7', 'a8f16a0f9e66da3a', 'dbcf7e96dd9449e7', 'a39de974d72b88b3', '6f4f54d89383e1ba', 'ae9b392cb1d7be26', 'ce638637eab9cbb2', 'fe05283c708c2589', 'c31c5aec6ca52a0f', '2a28036d98f5a42d', '2d41ec8c58a78215', 'a7344e0356bfba18', '70e09b2da21c935c', 'd378db422fda516e', 'd32f4d396f08bddb', 'e8c96df4cc444126']; context = [[171, 220], [42, 129], [7, 57], [30, 85], [154, 237], [63, 153], [1, 74], [110, 185], [195, 256], [4, 81], [20, 67], [64, 146], [0, 74], [0, 56], [49, 129], [55, 137]]; loss = 0.065537 low_pass_filter = 0.300
+Epoch 0: | | 40149/? [6:20:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 40150; scene = ['3ba79e4a3499b7bc', '2bf30153b26e2060', '2b83ce9b23c5ab7d', '814f74b9c3c4d094', '5a040cbc8d351ff7', '0a609dca037e83a9', 'afc970648a89e04a', 'd729044c166a455f', 'bf37ac6cc15e90c4', 'ed1510746de8198f', 'dddfc77781886a81', '25f8fa5f70fc3819', 'dec153e8b722d2b3', '6f37d76aa601bf66', '2178a852fea5c59c', '9672bf2513953ed0']; context = [[23, 71], [47, 136], [10, 60], [7, 57], [159, 217], [6, 77], [76, 162], [16, 69], [18, 96], [23, 82], [6, 84], [61, 110], [34, 98], [15, 76], [65, 147], [26, 110]]; loss = 0.025240 low_pass_filter = 0.300
+Epoch 0: | | 40159/? [6:20:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 40160; scene = ['3d30b440244efcd5', '112ee2bd1c2b61cf', '823a32785927191a', 'c84a3d02144472e6', '214621bc4a448f70', 'c9f4fa78c5198a38', '0645a0441a9553e9', 'e2b9fe93917b4294', '3b7a2b88d554d67b', '5d66f5a1eda7f0b9', '11b0941f789a29b1', 'cd7187c5ac3ae71e', '183b1507a812513e', '81f8c3d21285d1cc', 'badc05985bd9d737', '7a03c6c69a883bac']; context = [[7, 77], [18, 86], [15, 61], [6, 76], [96, 146], [30, 96], [4, 49], [136, 182], [36, 103], [31, 95], [18, 70], [80, 127], [48, 137], [0, 46], [75, 136], [70, 116]]; loss = 0.027623 low_pass_filter = 0.300
+Epoch 0: | | 40169/? [6:20:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 40170; scene = ['4fb40dc3a4716a0a', 'c34efa1505a0cfaa', 'd310ae67e900586d', '94662e1320792336', '856cc0ade40a1c89', '3e10a47a93c8fef0', '5058a979977a4184', '4f5f5fc918464b4c', 'e390cddc191190ef', 'ea34ca9533790620', '44d8cb6fbc7d70cd', 'd9f535c4c69d09e1', 'e310312ac1b4af0b', '4352f5ecbeaf4b69', '81e453158009b57c', '580df111f223d694']; context = [[76, 126], [45, 115], [5, 50], [101, 181], [4, 60], [201, 255], [39, 87], [14, 64], [35, 80], [13, 83], [42, 119], [1, 81], [74, 154], [170, 225], [152, 202], [40, 116]]; loss = 0.033833 low_pass_filter = 0.300
+Epoch 0: | | 40179/? [6:20:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 40180; scene = ['93db1dea76cc6be7', '8a74fe41cc22b9de', '25786ffb7c104704', '0694fc542e3f6de9', 'd38ceced483801a7', '76363422d829a5ea', '25f2eed8482f4efb', 'f7adb9b80aeb99ee', 'df3eae6c62deb55a', 'af018f37a5cfffcd', 'b9150a0deb480f1e', 'fee7f9e43a85aaca', '7f1444750fc50ba8', '9a4c0bb938bd7c83', '6d93e8f7923b4d70', '752a2c0964a92680']; context = [[3, 49], [44, 90], [7, 53], [168, 253], [23, 88], [45, 130], [94, 152], [54, 122], [2, 58], [93, 182], [13, 83], [18, 73], [61, 140], [29, 93], [87, 134], [60, 140]]; loss = 0.023539 low_pass_filter = 0.300
+Epoch 0: | | 40189/? [6:20:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 40190; scene = ['e914556d29e28202', '854643bc2ff4062d', 'beb7827e8dfa81d5', '9314910c4a43508b', '8934e5efeca5b032', '16af37ee77aeaae7', '58388d76b62c5fa1', '4cc6fa6dc966f1bc', 'a313b7aa3720f375', '4352f5ecbeaf4b69', 'dc11fe3737ec6ce9', 'e310312ac1b4af0b', '580df111f223d694', '81e453158009b57c', '9095922ae071f31a', '1f2fe0d464f61de0']; context = [[9, 68], [7, 57], [107, 156], [169, 221], [21, 74], [2, 49], [13, 64], [73, 126], [39, 84], [81, 167], [65, 130], [89, 148], [32, 121], [194, 260], [3, 67], [23, 113]]; loss = 0.027965 low_pass_filter = 0.300
+Epoch 0: | | 40199/? [6:20:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 40200; scene = ['b7f27234151e6a90', 'b416246bd5fc5f87', '4891029da61b40cd', 'f11fe1599236dd8c', '78abe4c6652298aa', '715b259ea9988c79', 'b1fa7e90e6eb4a8e', '6a1f10429ae1bc45', '7e80f5c644d84caf', 'bf7db154feb5eb9f', '1dd657d729988154', 'b66b5fe75bc57149', '9d0293f0ed846ad1', 'c6e6dfe41bab8eb8', 'f4a0716baf89c85a', '74e0443fbbce9f58']; context = [[7, 76], [5, 92], [47, 98], [1, 85], [24, 96], [56, 106], [8, 74], [31, 118], [0, 83], [1, 56], [81, 168], [138, 217], [17, 79], [23, 108], [7, 71], [182, 268]]; loss = 0.028683 low_pass_filter = 0.300
+Epoch 0: | | 40209/? [6:20:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 40210; scene = ['4967b75401615e71', 'a80f9fb86b6b84c3', 'c94cf15b6b2c0cbb', '9a627851326f1285', '0f80349efadcafcc', 'b8acc0dfb0bc4b1e', 'ebf2a11f815fa2f5', '8c174f21bde778b0', '31ba36328f5e0f9a', '5b0d6c1647214139', '4a9f133fa50069b4', '538fac0821f2f815', '84156a96d99cea83', '2aac042a0d362f0b', 'e191c3d4ea711568', '6dfa6c612f9209f5']; context = [[3, 68], [92, 138], [1, 49], [131, 194], [59, 124], [34, 82], [10, 61], [112, 176], [48, 125], [77, 130], [3, 70], [78, 127], [185, 275], [16, 101], [47, 94], [28, 90]]; loss = 0.039401 low_pass_filter = 0.300
+Epoch 0: | | 40219/? [6:20:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 40220; scene = ['0a74c47b593ece1d', '0910106e8f16ddd5', '5f45abde2f26cca7', 'd71019be54a08db7', 'ccc47e61ed316fdc', '652a39baa0e151ec', '9ab0ecc80a10e445', '6332f7f499f99c67', 'a479cc83e258dc1c', 'ba5ca3690fdd8da7', 'a0df9a0b37424a6e', 'e77c01e0ab1921c1', 'fb774f1f577b648d', 'ef7ea43291e530d6', '844bfbdd9595723b', 'd256260f2a5aea8c']; context = [[0, 46], [42, 95], [19, 76], [1, 53], [11, 85], [1, 72], [5, 54], [174, 246], [26, 85], [28, 83], [31, 83], [1, 72], [19, 99], [60, 106], [160, 208], [22, 89]]; loss = 0.023003 low_pass_filter = 0.300
+Epoch 0: | | 40229/? [6:20:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 40230; scene = ['5c61be9113ab38be', '886c8489dee57871', 'd382ab655e3bce78', '3660cb810808a4cf', 'f896af9301f43f0a', 'bbe918789666cc17', '0f1770edc4686804', '661c9d87c961a0e3', '0ea34d96c88e77b8', '356065de0851f6fe', '6800182ce64325f0', 'f842fc3a048073e6', '519e791a79112caa', 'b1c505350a76d200', '664ad76c825a89a4', 'c7c3770350b9d958']; context = [[67, 123], [38, 87], [0, 47], [106, 158], [22, 68], [8, 73], [1, 53], [4, 75], [7, 69], [0, 45], [37, 121], [11, 74], [41, 126], [25, 70], [0, 45], [11, 65]]; loss = 0.024662 low_pass_filter = 0.300
+Epoch 0: | | 40239/? [6:20:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 40240; scene = ['3b64aa64e8f04465', '7980d31b18da69a2', '82ac4e44bae63290', 'd6f4a941a42c6eac', 'a88722d900d57a48', 'e8185a3649c3de14', '5a0599afb3968bf7', 'd44505ec46c78195', '547dec9fc8a486aa', '737f19eb418ef107', '469851b0a8d554c8', '50321b969aeed936', 'bc9ed05d37d20268', '0d2286f126b83312', '9757e5d3f5898474', '563209f8f6fa0856']; context = [[20, 104], [19, 65], [3, 54], [22, 88], [75, 164], [14, 62], [110, 161], [1, 55], [9, 76], [6, 83], [6, 73], [10, 72], [103, 168], [0, 83], [80, 161], [15, 93]]; loss = 0.021734 low_pass_filter = 0.300
+Epoch 0: | | 40249/? [6:20:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 40250; scene = ['68c86d2d09836cd4', '704ce38139b35265', '399913e2933f1d8b', '08a730bc775840ca', '36a94283bd372f47', '6db124ca077ec757', 'b8f036b876113a2f', 'fd2f750a2fb4055a', 'fccd2ce3b04593fe', '5914b1859a79ba29', '7640a98e2a577007', '82d49340adc62a9e', '3d8df97f0ddd375e', '9e7127fac4cd1710', 'a348e7e5d35e62d4', '8dd9982d07e06ad9']; context = [[9, 71], [89, 174], [45, 106], [8, 57], [12, 57], [4, 81], [87, 165], [18, 89], [7, 79], [171, 219], [62, 107], [48, 138], [11, 79], [151, 199], [53, 123], [12, 66]]; loss = 0.032026 low_pass_filter = 0.300
+Epoch 0: | | 40259/? [6:21:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 40260; scene = ['4f6d6041434a7907', '55f8874f8fefa4ed', 'a3eab4d5683d9c31', '674df255653c2010', 'bc773d762e6fbe06', '71de6eb329cc96bd', 'e8c5fdad60e58a8f', 'd1749b42c2b6082d', '7157a08b4d909e22', 'b373737df3e74477', '95b37383d90fba88', '9aad28b8c911c8e4', '2ba6db31b81feaf0', 'ab000b4f32ced111', '1bb36d50ab9fd353', 'bbdb60e0097e9ced']; context = [[53, 139], [98, 159], [76, 130], [5, 56], [36, 98], [6, 75], [59, 133], [76, 152], [14, 98], [8, 73], [33, 114], [56, 136], [20, 101], [34, 92], [24, 113], [10, 96]]; loss = 0.095797 low_pass_filter = 0.300
+Epoch 0: | | 40269/? [6:21:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 40270; scene = ['f527e84d7a5badd7', '9a5208ac9e7f1b35', '371208b680e4bd21', '640d1657e5c1aee7', 'aaaddac8b8c2cd2a', '52124f430b389332', '5a01722fb09b11c3', '72986e81e936632c', 'af08406c5a9a43a0', 'c145af26faeee75e', 'c573fd7fe1c40eb3', '9c38e122200779bd', 'c9dd64b7415e788e', 'd1762bb31381a1a5', 'f4eaf85b1b54c9b0', '66c10f6fa1fc6012']; context = [[10, 84], [27, 80], [11, 80], [14, 99], [36, 88], [93, 160], [0, 86], [23, 74], [73, 120], [8, 67], [64, 115], [196, 268], [8, 56], [5, 84], [5, 61], [19, 100]]; loss = 0.023551 low_pass_filter = 0.300
+Epoch 0: | | 40279/? [6:21:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 40280; scene = ['0d93117304b2c328', 'c1b6e10c20d99e06', 'b6c050a85869fbab', '6f22c617870a2aae', '41bfde5305c81839', 'c938cdcb831e024b', '07182819a3f6a9fb', '25566dbcbdb9d453', '4e4bd2a7244f34b6', 'd0e4a11f9aa906cc', '70a331f9fcec9d43', 'f36f99cf29f3be44', 'bcb35fbe47324395', '8195e86be5549d7f', '6f5935c4967852ef', '08659bc98e27705f']; context = [[24, 79], [29, 110], [38, 90], [0, 68], [72, 129], [6, 76], [19, 65], [44, 110], [202, 247], [0, 88], [39, 120], [3, 91], [4, 50], [1, 50], [25, 70], [9, 85]]; loss = 0.021602 low_pass_filter = 0.300
+Epoch 0: | | 40289/? [6:21:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 40290; scene = ['643cf013e58632bf', '6f8d38fe084f7ad5', 'cbfe1854f623ed74', '2636e6766e692274', '70d878da47f984e4', 'cb171c3ee0bb4bc7', '23e164d4f8460f5b', '661d62ef157db4a3', '56d65d47fd196d68', '632fdd68fcdced28', '2e6b4635f05514db', '7c880b1e35f46b25', '94ebd32f2e11aab3', '809ed0f3759beef9', '313aa9c0ac8065f6', '878c7766a4a02e7a']; context = [[14, 82], [0, 46], [51, 97], [2, 68], [163, 228], [0, 61], [181, 233], [37, 90], [32, 101], [87, 161], [22, 90], [8, 87], [104, 190], [196, 245], [25, 106], [1, 48]]; loss = 0.025188 low_pass_filter = 0.300
+Epoch 0: | | 40299/? [6:21:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 40300; scene = ['4e95c589e42fee51', '4627387578523c1d', '9d0fa815d5127e96', '6fa131a2fa829df1', 'bf70ac416939f544', '9304b1e911c2829e', '0e11b0852a47d75b', 'c5aed9e5140a93de', '27b36126898f7647', 'b3c1b70f6c68629b', '033b9a4fb9b7c2db', '3a158a1cdbddebcc', '6dfe41d46d841142', '397e9da33cc41440', '7694f69099715be2', '77ec536967a90c82']; context = [[45, 99], [0, 59], [58, 111], [0, 45], [57, 108], [3, 58], [25, 114], [39, 94], [80, 151], [8, 61], [62, 138], [40, 119], [12, 59], [122, 195], [26, 115], [85, 175]]; loss = 0.094426 low_pass_filter = 0.300
+Epoch 0: | | 40309/? [6:21:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 40310; scene = ['0f59670e4a9ba4ad', '1af13fa31de17e0f', '4b03ceeccf23ab01', '2c37b4aa102fcb10', '94eaf5be2556470b', '5ff62b81e127cc0a', 'c3130fed2437a498', '88a42a724cbefb57', '4845d1d4cf79ba47', 'd6fd3cc56301f094', '0315e41f172fd12f', '01c2018ab9fca9bb', 'ebc5a6bd55511e51', '804c8a7e019f74c9', '7f13d0519277357a', 'fdeb338cf4c3ce7d']; context = [[0, 53], [22, 79], [17, 106], [69, 132], [137, 191], [109, 178], [81, 144], [14, 93], [46, 107], [24, 100], [9, 94], [56, 116], [190, 265], [108, 156], [7, 86], [4, 54]]; loss = 0.020977 low_pass_filter = 0.300
+Epoch 0: | | 40319/? [6:21:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 40320; scene = ['920d92758d18c7d2', '6185ce362d4ae1d6', 'a802441c288b598f', '280d6636eae33dd3', '84dd6be769a13042', 'd7afba0f3ab5b579', 'f7d839262e5cc647', '93598ff73741eb47', 'd9ff7a8b9114dbcd', 'f79a6334f7f97c04', 'c0019ff8afeaf1f7', 'a3e68f2a6b87063c', '90da26a5b04b69ed', '4774761aac769b05', '05326bf187de954b', '46fa4e4e3b142efd']; context = [[5, 91], [8, 69], [30, 100], [56, 127], [26, 72], [17, 81], [42, 87], [57, 147], [8, 57], [8, 56], [2, 71], [23, 101], [7, 79], [8, 96], [30, 99], [18, 93]]; loss = 0.025675 low_pass_filter = 0.300
+Epoch 0: | | 40329/? [6:21:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 40330; scene = ['b3a83fbbb2c0b81b', '332db302db18a6b1', '9720a52405835b98', 'cb17ff92309f6c21', 'db97b11381863147', '0eedfd3367866a18', '58fd1e2aa6aa30fb', 'dd61e223f3c5ea1c', '244c5fecb741efb7', '2cdc01af65ca2471', 'd3f8da499f7d99a5', 'a377fc8d36db3a31', '7e8176aa3b32a068', 'd9c82874e9d58447', 'b9fba012acc2a3b6', 'e21290652231e775']; context = [[19, 66], [0, 90], [15, 95], [20, 72], [50, 136], [2, 92], [99, 187], [126, 188], [164, 244], [27, 87], [16, 87], [74, 124], [61, 107], [2, 60], [2, 47], [17, 98]]; loss = 0.025439 low_pass_filter = 0.300
+Epoch 0: | | 40339/? [6:21:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 40340; scene = ['51d79c5142e1a325', '878bc34ce9a5c2b0', 'e0091fd81f0ce93a', '40d398cb0fb84bf1', 'c54bfe167a0e4773', '335a90126c68ec87', 'cb400c50ad429f45', '241a367e7f124257', 'f727b968f8aaec7e', 'e458f0d06334a2d3', 'feef4e3a0d101f5a', 'b204577ce9893435', 'f7d91f705d469f6d', '79bde1fcb9c993da', '258b9d79b1f313fd', '7518471605dc8aa2']; context = [[25, 70], [2, 71], [46, 128], [93, 163], [14, 88], [72, 117], [44, 118], [4, 68], [22, 96], [4, 62], [32, 79], [42, 96], [7, 62], [1, 67], [53, 98], [0, 70]]; loss = 0.023290 low_pass_filter = 0.300
+Epoch 0: | | 40349/? [6:21:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 40350; scene = ['b03df4c4382500a8', '4be78a34f5d97b64', '8094d6a3dfd3333f', 'c34baa7a466d6f17', '191d93d539d59e6a', 'e9066f9a8c2aa1d1', 'd2e8cf4e3a7c7091', '5398df70fa449fe6', '4395c655707708d7', '4208223d5fca136f', 'dea0ecb2d7c064ef', 'f5bee2606e50f3a4', 'da557a6ffdb660ed', '5a6f0d61f1e3b83b', '0ee964a8a9ecd576', '7dd925c36cbbbbe1']; context = [[19, 88], [7, 75], [27, 117], [61, 108], [163, 209], [2, 85], [3, 70], [6, 60], [50, 106], [7, 55], [190, 267], [109, 181], [0, 45], [38, 114], [62, 128], [8, 62]]; loss = 0.022299 low_pass_filter = 0.300
+Epoch 0: | | 40359/? [6:21:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 40360; scene = ['ceb3122d87675b21', 'b338db97a0e41314', '1dd019d6ab775183', '4088226cf84d6641', 'aa5f0f9be3bd3b2a', 'f5d8869e103670b2', 'c4e12df63403eadf', '63a59b6c50bf418a', '8e94de9c1bc0732c', '3e10a47a93c8fef0', '4f5f5fc918464b4c', '94662e1320792336', '856cc0ade40a1c89', '5058a979977a4184', 'd9f535c4c69d09e1', 'd310ae67e900586d']; context = [[5, 89], [0, 47], [20, 97], [115, 204], [19, 79], [2, 57], [41, 94], [37, 126], [38, 95], [13, 93], [16, 73], [85, 152], [15, 69], [66, 123], [12, 59], [8, 68]]; loss = 0.026769 low_pass_filter = 0.300
+Epoch 0: | | 40369/? [6:22:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 40370; scene = ['462bfd1b62b6cb54', 'a77535785a79e60a', '9759e7755e825784', 'e4230c118f07c919', '6a06b29373391c2a', '2004d220029debe9', 'af273a69275eafe8', '57b5268c98e7308f', '26f28a50f0267b3e', '5376bb67b77e8b59', 'e626cfbe73b265ff', '963b4755148b46f0', 'a142901b8a2421ed', 'e228a6735eb00c28', 'bf757b6db55a034b', 'b737264f3104f28a']; context = [[32, 79], [15, 69], [26, 75], [208, 271], [16, 69], [40, 88], [92, 180], [20, 103], [144, 204], [0, 51], [1, 64], [2, 86], [65, 144], [13, 61], [24, 97], [5, 64]]; loss = 0.025754 low_pass_filter = 0.300
+Epoch 0: | | 40379/? [6:22:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 40380; scene = ['9c4ed2cd8353b8c7', '4b6f368238db6ba0', 'b8709511255b1c76', 'ea4914670ba6d0e9', 'ff189499a6ed28d7', '6c6276a02a533e71', '5fb3bf2facd499a8', '64274f67bc885707', 'ce57b9ebde2d907c', '377453fbb03976e6', '118e5ed190ff89e1', '6c9d30f8078cabd2', '3748e22aebddc113', 'e34447ddccfc88ff', 'd2874cf14e0f0ce2', '0777b711796daee1']; context = [[35, 124], [0, 47], [24, 79], [1, 67], [16, 69], [0, 45], [4, 59], [6, 81], [3, 49], [2, 63], [24, 82], [32, 97], [0, 77], [39, 87], [3, 68], [6, 71]]; loss = 0.024204 low_pass_filter = 0.300
+Epoch 0: | | 40389/? [6:22:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 40390; scene = ['4ad89ebda1a41a62', 'e28ffd2fc4627268', 'f6b63e20382a6052', '224077c8876d132b', '17d8d9419cdc2d4e', '00eead9faebb6daf', '2209341e8bd65dc2', '7de2ca731a4af54d', '90af47b784746da8', 'c2b8b3e74c64553a', 'cb089fc0fae599b5', '7aca142562284e3b', 'af94d397bb39a345', '7e8630a890a85545', 'f5f5c6090e031091', 'b266226a3d237e80']; context = [[19, 80], [43, 103], [104, 161], [2, 54], [14, 80], [73, 155], [26, 100], [39, 98], [10, 93], [16, 62], [3, 50], [80, 138], [94, 163], [40, 111], [0, 56], [56, 130]]; loss = 0.027545 low_pass_filter = 0.300
+Epoch 0: | | 40399/? [6:22:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 40400; scene = ['31bb52556c508299', '8033aa6c2010ee73', '83c57fbb2624304a', '6bf457fb2e24516d', '9d812fb06c8d197e', '323fa8deac25071a', '49b11eddf04b5620', '5b6fad04865aa615', '1f08a54b3d9787f9', '598f5f9c57bceafb', 'a18f380bc7a49015', '7c43c1873e535409', 'c840e7ad87fcf5d6', '78062689dc99739a', '487e1751e169b2fe', 'ec570f8328cd4104']; context = [[16, 104], [13, 58], [1, 55], [60, 127], [30, 85], [51, 108], [1, 49], [63, 118], [70, 120], [2, 64], [65, 134], [123, 198], [30, 91], [47, 129], [17, 79], [117, 168]]; loss = 0.021991 low_pass_filter = 0.300
+Epoch 0: | | 40409/? [6:22:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 40410; scene = ['1663112dd64c920b', '81ee268730f0cfd4', 'd9590036ff6fd866', '257e2910b28b2b2b', 'd4a804c9d4003fec', 'c1b1ce01476efc00', 'fffbc37fba7b5ec8', 'efb5900246c11cad', '8c7200b306fdf9e1', '18152facf0d07c56', '8059bc76d9f034c2', 'dbcf7e96dd9449e7', '9b44d7f7f1e76dda', 'c9c9a2028bc5e37b', '6f097566ab5011da', 'dc844d908c631b63']; context = [[0, 77], [21, 71], [3, 66], [4, 60], [3, 72], [0, 46], [4, 77], [90, 147], [1, 75], [7, 97], [0, 66], [1, 61], [41, 106], [59, 117], [0, 84], [100, 187]]; loss = 0.026784 low_pass_filter = 0.300
+Epoch 0: | | 40419/? [6:22:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 40420; scene = ['87b9c2954fe05751', 'a5755fb377071cda', 'b16abc4d67655cb5', '206c406cbb54c9d6', '3f439ee888325de4', '10c8704bb6745b6e', '714c3dc97fac769a', '4385a3b16d321702', '27b9b6d8520b476c', 'ec9f85b999210b88', 'f0680c43c5c34858', 'a0e621ae35148a18', '28da1359e6e9937d', '1c50722fddad9593', '51df571bb0616703', 'a00596889eff80ec']; context = [[28, 92], [24, 82], [33, 83], [17, 72], [19, 77], [93, 175], [15, 72], [1, 56], [153, 214], [111, 199], [90, 180], [79, 161], [194, 245], [26, 91], [16, 65], [32, 101]]; loss = 0.030381 low_pass_filter = 0.300
+Epoch 0: | | 40429/? [6:22:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 40430; scene = ['760c626fa583ca58', '2643d60a731e5d92', '4994aabf6ecddf13', 'ed9d715df2eed57d', '1c84e33ec928d7a3', 'a897a9a9dd1e252e', '03fbcd2f324b9946', '0dfbccbfd1f98e92', 'ef77f5e4ef9e62b6', 'a770c86f2059dbef', '08e0627969b8514a', '0d9643db1fca8e9b', 'cb721728aa3c15de', 'eef16f49751028f7', '2843579651f9596e', '4ede83a5aea0010f']; context = [[26, 100], [43, 92], [5, 50], [43, 108], [6, 83], [31, 85], [0, 70], [141, 217], [15, 82], [26, 82], [24, 85], [1, 47], [3, 84], [8, 88], [6, 80], [0, 65]]; loss = 0.019610 low_pass_filter = 0.300
+Epoch 0: | | 40439/? [6:22:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 40440; scene = ['8b19c78df2dd7e46', 'ea02fbd66994f682', '011096d6cf0ae11b', '3010ed17e38d9071', 'd281c7ae9754972a', '646dc19a503b1957', 'aabc6d31aaa4b84c', 'c1f2337f62ad3576', 'd9eee6476fef03b4', 'a7da6e77dce63eee', 'ebf748806e739219', '6d60fc0409f9546f', '16e23d8cd26eda21', 'f4fd1fee2a8f69ee', '9ee134a1e5088732', 'fec8d1d17a6a994e']; context = [[7, 64], [8, 55], [60, 124], [53, 100], [5, 75], [42, 87], [121, 168], [0, 78], [152, 228], [23, 82], [6, 79], [56, 103], [36, 124], [88, 152], [2, 60], [60, 142]]; loss = 0.026352 low_pass_filter = 0.300
+Epoch 0: | | 40449/? [6:22:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 40450; scene = ['51a634a44dc01dd4', 'c270572a7f5ea828', '7432f21de1ef4c33', '4e87d89c2b4138cf', 'b0ae260af883656f', 'd011c2b2ac6ccc0d', 'f14721fab585c585', '8eb11b08983f5781', 'ccf546f5a8ea9cfc', '89182bbf4b3f1b98', '50a38c69abd2a064', '3e5be5ea98eca2ec', 'f27d1a7efefcd420', '1096d576fca73995', '8532e67cc838fd57', 'f86b62c904dff358']; context = [[92, 138], [13, 91], [65, 152], [47, 99], [8, 71], [24, 83], [1, 76], [12, 57], [220, 277], [62, 114], [30, 101], [12, 61], [117, 186], [26, 96], [70, 145], [4, 63]]; loss = 0.026344 low_pass_filter = 0.300
+Epoch 0: | | 40459/? [6:22:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 40460; scene = ['eee29372ebee12be', 'a96317dd55e483e3', '60459f0cce3e9054', 'fa2751abbfeec05c', 'd640cbaaa1460e97', 'ecb6a4daf8bb0073', '871167c9a17766ac', '60166774c095377e', 'cdd496a409f6a97d', '8883b081c8df25f8', 'df21d07338b42a94', '13c9ef02d8471d4a', '15483fcbb279e05f', '048590d3ea1d642b', 'a9350d2f16427797', '87c2f3e5a29bfdae']; context = [[98, 157], [156, 228], [2, 59], [90, 168], [8, 54], [9, 73], [184, 255], [3, 67], [5, 69], [60, 119], [11, 78], [43, 92], [1, 57], [163, 227], [30, 95], [24, 111]]; loss = 0.027681 low_pass_filter = 0.300
+Epoch 0: | | 40469/? [6:23:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 40470; scene = ['12a8561544c97948', 'b6974cc96a02e9e6', '7043e8afce176c8c', '4e69d635ba8e495f', '9a072cba9997acf1', '9f911b9edb921010', '916572369a42b51b', '05efd1fc549ed5f2', 'ff5a148b852949ec', '94f20b7d0165bdbc', '490710a2cacc8268', 'dc340f8aa416f839', 'b915146b10f26355', '3485e4776717068a', '7f60555b6995c522', '25a35d6bb3d58a7a']; context = [[25, 115], [3, 76], [16, 79], [9, 56], [1, 89], [46, 113], [99, 155], [50, 127], [57, 140], [6, 57], [166, 233], [5, 85], [88, 149], [8, 64], [4, 50], [18, 73]]; loss = 0.025494 low_pass_filter = 0.300
+Epoch 0: | | 40479/? [6:23:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 40480; scene = ['6ad2c9d5fc760ae9', '7fb9d2cac9a0af5b', '71843776b11430dc', '199f106987c4164e', '6f75c58b5f9de5fc', 'ca7339faa02aadb0', 'fa858bff135c195b', '207f58822ac86628', 'd1330eb904da306a', '2d05c89759d6f1c9', 'bf0e2d3e9c2df580', '9fc7da7f2d71386d', '6383b0ca64518455', '0ada6fc4284b7559', '2e5338ad01391b6f', '13fd68bb0100ad1f']; context = [[77, 156], [85, 163], [3, 50], [43, 120], [0, 80], [81, 138], [76, 126], [193, 264], [42, 99], [18, 68], [43, 122], [23, 92], [7, 93], [97, 184], [41, 121], [4, 49]]; loss = 0.028531 low_pass_filter = 0.300
+Epoch 0: | | 40489/? [6:23:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 40490; scene = ['dff6e57bcf52850b', '9a2ecd82a5084f01', 'ec6d32b61bd26167', 'a3416994d313fdb3', 'c42c6d551c4c4d62', '398ea56207849e42', '57ea5883b42d1a76', 'e5ef6dfdcbcf430c', 'fe2df6a236f5bc79', '0c4ad6f7363c6dbd', 'db2bc7f10561a5d0', 'ca39898dc82ac69d', 'd725f58a68fccddb', '9b016b455aedd9f4', '84ca721f253dde85', '4db07c5caae67701']; context = [[44, 106], [11, 60], [162, 223], [14, 68], [96, 152], [7, 78], [2, 88], [10, 82], [0, 77], [188, 266], [113, 174], [98, 157], [1, 90], [12, 59], [213, 271], [102, 167]]; loss = 0.026079 low_pass_filter = 0.300
+Epoch 0: | | 40499/? [6:23:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 40500; scene = ['580bbe2141b9e6e2', '775b82d34796713a', 'b23d97a750c719ee', '188eb86b0baa1531', '338ce7509f071f4a', '4b148538b0785a5a', 'dec8847e03333be3', '5f1fbee3e97e7470', 'b10e2cfbec255d44', '60531462424bd617', 'ecbf048504e09969', '90c1483c736e3b41', 'd7fd0247a853f44b', 'dccef2390d0b6851', '795b958ce87d556a', '965f0970da310cda']; context = [[1, 63], [52, 129], [5, 74], [25, 85], [39, 103], [31, 104], [97, 181], [1, 47], [2, 47], [26, 91], [13, 72], [21, 98], [22, 111], [219, 273], [81, 127], [18, 87]]; loss = 0.032564 low_pass_filter = 0.300
+Epoch 0: | | 40509/? [6:23:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 40510; scene = ['0ff6e59952a084e7', '2232cce71fc99952', '156a99bdda94ab15', '7944997c5cc8d4a3', 'a4e1c1a1fd21c031', '1e2db9c385736612', 'd9d387021859984c', '10a912a578eab6eb', '9182eb6535116035', 'c72e5c5b93465fd9', '6c588b310610da28', '07d45f8aec3ef9d0', 'cd9a2a66101702dd', 'd4bd67622f4d47ad', 'f788136c098c2df1', '11c2ad3eea536668']; context = [[9, 58], [2, 88], [11, 79], [62, 138], [22, 100], [115, 180], [58, 121], [36, 106], [197, 243], [74, 138], [0, 86], [0, 84], [33, 116], [2, 69], [1, 47], [6, 75]]; loss = 0.026850 low_pass_filter = 0.300
+Epoch 0: | | 40519/? [6:23:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 40520; scene = ['dffc33139384124f', 'fa49dcd1794436a9', '1af152530e6445e3', '299b743eaf266969', 'c876c627af7786cc', '356b98ea4de24f44', '01321f09ccc0ba50', '7159e040bb4a1617', '4d45a366bcfb2824', '14af89bdc75382ab', 'fcb1af0ebe6926c7', 'fc8deaf763806c66', 'bd077bfc739857cd', '467e6cb4bcb7fc53', '851ada2e51906f3c', '90bdc80baa33848a']; context = [[119, 170], [13, 99], [180, 250], [74, 152], [85, 166], [3, 48], [8, 78], [5, 93], [34, 81], [1, 70], [11, 62], [0, 61], [62, 149], [1, 59], [11, 85], [138, 191]]; loss = 0.023583 low_pass_filter = 0.300
+Epoch 0: | | 40529/? [6:23:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 40530; scene = ['be13212a82b93b85', 'd189eb4b6fd8a3f7', '9b016b455aedd9f4', '84ca721f253dde85', '333d47c166aad666', 'ce52e2bf6dbb72d7', 'a829ffde6c53aa8c', '5e62a890cb5a023a', 'f497c3291a3d7a10', 'ab36eedface7b474', '0cc8f2797b38bb96', '7cfb911c40da361b', '4db07c5caae67701', 'a05f322adda6b100', '81e94d78e4044500', 'd8e17f025062f4f1']; context = [[2, 51], [7, 79], [20, 66], [94, 164], [16, 70], [8, 53], [4, 52], [145, 214], [71, 119], [11, 89], [63, 120], [8, 59], [185, 230], [0, 45], [6, 83], [17, 64]]; loss = 0.027548 low_pass_filter = 0.300
+Epoch 0: | | 40539/? [6:23:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 40540; scene = ['af4b3d516b5f85fc', '782748eae1b15a68', '0a6360859aae1c7b', '7083621671d01c4d', 'e8f6e95b1ed22c4c', 'd725ecb952a8a20b', '32167640fdbb1218', '9a0e50df2c86aaa2', '78d79279965d940d', '3c23951861654d1e', '50d4d41bdd05529e', 'e028a26891c2937a', 'a57d7e5785d46fea', 'd500031220ed505d', 'b00f502f468fa5e1', 'af3899e50afdfa9f']; context = [[25, 88], [15, 104], [0, 56], [41, 89], [79, 160], [1, 83], [2, 79], [48, 132], [9, 66], [43, 90], [142, 191], [9, 59], [3, 49], [0, 65], [28, 73], [24, 71]]; loss = 0.025184 low_pass_filter = 0.300
+Epoch 0: | | 40549/? [6:23:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 40550; scene = ['9b51df4f8fb857dd', '9d97c645bebcd1a4', '7bf6bf856323ad9e', '33416d034542277a', '04af3750947a687f', '3f45f9ecf32805f6', 'b69975c3fd6c9bf6', 'e2f3157c10aa655b', '4b1ace7056c3ef7c', '5357eb29cb81b3fa', 'aa2c714ead9d4071', '5dc337c78c9c2f4e', '312bff60ce38cd77', '1df539eeac09987f', 'fbc7417c49f03ebd', '604629605df53513']; context = [[190, 275], [97, 177], [7, 54], [4, 59], [83, 148], [4, 70], [34, 88], [28, 108], [7, 82], [15, 71], [86, 131], [17, 64], [20, 68], [63, 113], [1, 46], [101, 183]]; loss = 0.022044 low_pass_filter = 0.300
+Epoch 0: | | 40559/? [6:23:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 40560; scene = ['85ee0fc26f209eac', 'c0fbb9bf7c8826fa', '70622e192e7ee17d', 'c6ff95c0d520def6', '08037bd2a08cfbcb', '27c7362a27f418ef', '50c5d11d48ce6ea3', '17078e61ee975a4c', 'a8f7946996aa6d67', '796f21c742920e47', '36f938158d4cde4d', 'da622e4400f54e54', '42a6c835ff830674', 'a5c03b0c5fb7203e', '13ef9d843af0eb46', '169f09c33ee35289']; context = [[43, 94], [39, 99], [0, 53], [15, 87], [8, 54], [2, 47], [10, 68], [0, 76], [28, 110], [87, 149], [31, 100], [2, 54], [1, 81], [9, 83], [5, 84], [16, 63]]; loss = 0.033674 low_pass_filter = 0.300
+Epoch 0: | | 40569/? [6:23:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 40570; scene = ['4a0419479a29e5a7', '7aee80abe39c7d03', '07916b8004a8e336', '869ed5a2a273e8fb', 'bbbae78d877d5312', 'bbbaa99ab329087f', 'a40fea86a599c60e', '89cc333342232a19', '63eb524e44eeafbb', 'aa24838f16305995', 'ce72473f822a7431', '374db1b7332138aa', '4c3e1a9242e4bb83', 'a5812ef0bb0bc156', '422d26887c24af8f', '2c0d8c978ddbfb77']; context = [[12, 95], [41, 125], [28, 82], [1, 50], [6, 61], [10, 66], [6, 88], [37, 114], [10, 67], [2, 82], [68, 148], [151, 203], [49, 127], [4, 56], [123, 193], [190, 249]]; loss = 0.026777 low_pass_filter = 0.300
+Epoch 0: | | 40579/? [6:24:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 40580; scene = ['7d3be97db6025753', '72a143742fde6395', '9e511f66516b17db', '599f80ec8db49f3f', 'fd2442595faa2d01', 'efb590fd4b4eb0c5', '176290ff95c16e3f', 'e3e2b1c90271d8e3', 'a65c18f99fcf5f82', 'fd5aa11dc66a75c3', '07e15647254b6cab', 'c3bbcee94ab6ff1b', 'c94cb4be652f013a', '7173e6107342f9bb', 'e2eabf4e6e9c8fff', '26c1372d50e49c83']; context = [[43, 97], [4, 56], [87, 166], [11, 63], [3, 52], [3, 76], [11, 71], [72, 135], [23, 75], [87, 146], [2, 74], [61, 107], [1, 76], [7, 56], [1, 83], [42, 117]]; loss = 0.024705 low_pass_filter = 0.300
+Epoch 0: | | 40589/? [6:24:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 40590; scene = ['5b8e80b9b14fb5fb', '0e26579ccb4998cd', 'd4017d748d48fe77', '5fb6c59c4a7c68ac', '4955a2d36a82973f', '89fc915d613ff37f', '1bff8030b749eede', '7c49c2308203f69b', 'eca81d6ee5fbf8ee', '614f6a3fc7936f47', '5f6ae80e58f6f518', 'ab27c3f931ba3513', '63c13551f24f416e', '45112304ee4c0c76', '03686e0744810c79', '9dbbebf435a6c9fe']; context = [[1, 77], [0, 85], [20, 72], [50, 136], [8, 91], [30, 91], [87, 148], [136, 192], [77, 148], [6, 51], [27, 113], [67, 132], [0, 46], [7, 54], [1, 52], [17, 75]]; loss = 0.027025 low_pass_filter = 0.300
+Epoch 0: | | 40599/? [6:24:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 40600; scene = ['f158f2d611e892c2', '8bd1355a3c06d06e', '500c43d0f0558034', '9ad8c7f6b7e9e5e6', 'a34af0c26cb1ee8c', 'b4aaa00674c63884', 'e423c2db23c80588', '81e8ff39a3a00839', 'dbb08ee9016eb60c', '1b489b12c4f54d95', 'ba570f646fc389ac', 'b7d6204f7458d4d6', '24d90f30c52e7229', '77994f2a243e4c9f', 'a5ae0f5f2192dd47', '402b81bf14d1de68']; context = [[168, 217], [4, 74], [41, 120], [21, 71], [88, 169], [72, 120], [1, 83], [29, 114], [71, 145], [17, 101], [12, 64], [19, 80], [2, 70], [51, 121], [18, 70], [2, 47]]; loss = 0.029668 low_pass_filter = 0.300
+Epoch 0: | | 40609/? [6:24:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 40610; scene = ['60987a40ad6c73d8', 'e799c5c0b4f26e3b', '5c5694be61ffb755', '0027e46f749ac7ec', 'ae2494640cbc0678', 'b38453d092cb760c', 'fc5f909a6e21d8fd', '2fcc80596aca14cc', 'c235beae7f32275b', 'c4f04d00df876c55', '3d571ac9d490075d', '9452b026b0d20cad', '8b1b695c79061c29', '19d0ab2aa711ec3e', '74a8f11d5d29aab0', '4777dc29a1d20c7f']; context = [[15, 68], [80, 135], [35, 94], [30, 117], [42, 127], [2, 91], [63, 136], [14, 89], [57, 127], [149, 196], [3, 83], [25, 72], [61, 137], [10, 67], [1, 53], [113, 180]]; loss = 0.026770 low_pass_filter = 0.300
+Epoch 0: | | 40619/? [6:24:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 40620; scene = ['e2c09e4204bba297', '1979410f58bcec2f', 'ede9b4704e60703b', '6e8f51c971a54b1f', '3e9af8bbf5d448cc', '771b9ab514763b57', '0b7bb37506071244', 'fba3ed30e62af988', 'da5109c41d416893', 'ae5d2c4b438a407b', '95752980cc4659db', 'ac9824f3ecc45ff2', '001c43a59a9e0b16', 'a356dab14e5662de', 'ea30bf8a65e93961', 'd1c6899b6c6ef917']; context = [[45, 121], [59, 107], [60, 105], [12, 74], [8, 98], [0, 84], [21, 77], [154, 242], [0, 73], [8, 95], [2, 72], [23, 86], [106, 156], [0, 56], [2, 50], [64, 153]]; loss = 0.023600 low_pass_filter = 0.300
+Epoch 0: | | 40629/? [6:24:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 40630; scene = ['47beee9ab9369688', '4559d0f58931cb1e', '672f1b3aa09b1c07', '5e209d8394fe9a43', 'fee25a96058554b8', '87b929c2b7b88c5a', '11c5bb54d738e840', 'c9fd47052ffbb2e6', '60f5e5607086c08a', '72a33dddf16c6f4d', '4845388530a74505', 'b0d028f08185a675', '0546b901d6b75353', 'f99aafb53f76f519', '2a97804c2c08b819', '8a992755a8cf4051']; context = [[30, 94], [23, 82], [8, 69], [7, 86], [18, 83], [189, 268], [94, 148], [32, 118], [8, 60], [56, 127], [4, 55], [39, 97], [2, 78], [0, 66], [93, 151], [42, 126]]; loss = 0.027559 low_pass_filter = 0.300
+Epoch 0: | | 40639/? [6:24:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 40640; scene = ['78abe4c6652298aa', '1e8650f2ad2469bb', '21b266c3d59a9973', 'f8e1c32284e7c88b', '4891029da61b40cd', 'b7f27234151e6a90', 'ee619cd24ce15a86', '6acee38e5863fde6', '9c56e31b751255a9', '56863fb499e2ff9a', '3727bb4b44708f89', '76b4366351bc4102', 'c8cfb09f212bf6c8', '287375b8ee068546', '726026f195188079', 'd938c73738634cbf']; context = [[58, 137], [14, 59], [14, 61], [10, 99], [8, 78], [65, 138], [8, 57], [0, 62], [40, 105], [30, 111], [39, 86], [5, 74], [66, 112], [14, 89], [1, 89], [34, 82]]; loss = 0.026281 low_pass_filter = 0.300
+Epoch 0: | | 40649/? [6:24:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 40650; scene = ['05661e760ecdfa96', 'dde547bc5456fdcd', '2374bc3470d48b9f', 'da4f6bfe896bf2fe', 'eaf7c66419fde6ad', '64199c57dfb3dc4e', '5036537ac2e39315', '96e895a56fe2a34e', '1c92d53dec160984', '88938961b84f2cd7', '56c780409feaf822', '7d9f0a9a5c3551e2', '861f0019d5fa65b1', 'd440a1d79e21c351', 'd486ec050db8bc95', '55a45d0dd8d2c98f']; context = [[28, 75], [1, 53], [0, 49], [40, 122], [7, 62], [34, 79], [45, 122], [18, 64], [127, 192], [47, 123], [167, 246], [13, 66], [15, 62], [116, 189], [3, 83], [35, 121]]; loss = 0.025544 low_pass_filter = 0.300
+Epoch 0: | | 40659/? [6:24:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 40660; scene = ['78517c2f01fb6a1a', '4b4099c29345fd2e', '1160b234bca769f7', '1d5d2ff5c922e173', '1d037447cfff7209', 'ee91e9f8cc43c212', 'b3574acd3997c5bb', '28921269daf6dc5a', 'c97d0f5fbaaf615d', 'def6c462813743ea', '5fe433edd795adfb', 'c79300dcf820a440', 'b4b4807fc6898e5e', 'fd7b3e3396405640', '9776817798733916', '8ce9ec38e3d7f76c']; context = [[19, 101], [19, 105], [0, 64], [22, 72], [98, 182], [3, 74], [142, 193], [39, 98], [32, 79], [3, 78], [11, 59], [25, 73], [44, 115], [17, 89], [19, 93], [41, 130]]; loss = 0.027772 low_pass_filter = 0.300
+Epoch 0: | | 40669/? [6:24:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 40670; scene = ['a79054ed0016c14d', '04f74c373f362ae4', '968b80d41cc680bf', '3c83fd3a35d752d2', '1430c0b497805b81', '73feda788b1d336c', '3dbee8e87fa74203', '70d551fa7ba6141a', '83e9851439ff997f', 'b153eba06a4a7099', 'b99c46a1570d3911', '38f373203dd7db5c', '3163b94a6d8ffcfe', '60593e41bbbbd0e9', '9212f92c5f6db4d6', 'e2795d1f30fc69b4']; context = [[2, 79], [40, 102], [93, 156], [98, 165], [0, 47], [0, 53], [15, 76], [23, 70], [1, 80], [15, 63], [0, 60], [2, 92], [24, 106], [19, 94], [22, 69], [8, 82]]; loss = 0.028102 low_pass_filter = 0.300
+Epoch 0: | | 40679/? [6:24:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 40680; scene = ['31cb89dbe9488278', 'afb4a26225da2319', '24d11974691da7da', '07d62dd06d7d3b10', '6cd5b0c2949e17e4', 'c80291ff8936a10e', '3667c847c4f69add', '37e6ad4caa7f9e37', 'd15af59d414280c5', 'c2b1745072bce1ef', '0f5392e04bb19f8c', '7102d9010349a215', '813050433c8b20bd', '0df8d4e3cd5241e6', 'c2a0b337dfce828a', 'df5695b1d749fefa']; context = [[5, 52], [11, 79], [7, 76], [219, 273], [187, 250], [19, 74], [204, 264], [202, 259], [177, 267], [94, 149], [144, 193], [46, 120], [21, 78], [5, 54], [33, 120], [0, 64]]; loss = 0.180700 low_pass_filter = 0.300
+Epoch 0: | | 40689/? [6:25:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 40690; scene = ['66955f2887af5a9f', '86f9daf0ed9c7901', '8e60a3c602d2470f', '2b02c5424369025d', '07eae4841b2c900b', '20cb4e811caa397c', '4353a602b8632521', 'd93dbd6c7758a61c', '7c9b792d56888acd', 'cd7a7f57c55038b9', '2b7d488bda993d57', 'cf53d87ab9557801', '29f20f745483699e', '6dc467961a80bdfd', '0c2c68a63c6abd0f', '345208e1ad0a1f4e']; context = [[8, 61], [28, 94], [12, 100], [1, 79], [36, 82], [4, 56], [3, 78], [15, 104], [54, 131], [5, 76], [0, 54], [35, 92], [39, 96], [16, 85], [52, 129], [141, 220]]; loss = 0.025866 low_pass_filter = 0.300
+Epoch 0: | | 40699/? [6:25:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 40700; scene = ['6e265cfc58ee5e9e', '82f673da64c6dd27', 'aa1cb2f298b2a0df', 'c35f0dfaf6507d58', '5661f1f6f25b227e', '50f06676dfe7dede', '73382c0b5120aabd', 'd066040e500bd58b', '87c9128b943f1b3f', '7e7b53917bcf337b', 'd1772c09b4b6d95f', 'd7ca14c855d58875', '0066ed3711a7240d', '629f07baec1cbad5', '0f0bbb6510ca3018', 'b07a54eda9cdaccb']; context = [[2, 78], [54, 106], [3, 64], [3, 84], [83, 162], [1, 63], [17, 69], [1, 47], [4, 74], [165, 239], [0, 72], [135, 217], [8, 98], [202, 251], [12, 64], [31, 103]]; loss = 0.025347 low_pass_filter = 0.300
+Epoch 0: | | 40709/? [6:25:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 40710; scene = ['7a0cb96230343062', '62c2edc48b267fd5', '46ae6f33316dbb7c', '3d2c547f7bec4c73', '8a2120eb135875aa', '9ba0f4168b2d242a', '7e5b418ccd14e32a', 'ee908f5ea8bbbc86', 'e12ccd28d49f666d', 'cf5b1506adcb6135', 'e113005fe37132e4', '1e3071384cdeaa3e', 'fef14a80de510898', '3f5e297ec24429f9', 'eeb7b882f1c6ef45', 'eccb0e9a51453bd1']; context = [[21, 101], [13, 58], [90, 146], [28, 92], [65, 155], [2, 80], [0, 84], [18, 71], [1, 60], [5, 83], [3, 67], [9, 93], [2, 53], [9, 69], [41, 115], [16, 82]]; loss = 0.113198 low_pass_filter = 0.300
+Epoch 0: | | 40719/? [6:25:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 40720; scene = ['b4bde0068fe7af28', '6faa8a388e0dd2a9', '2727fa34d2241ecc', 'a0a6cc4af28f401b', 'ef8677a5404a270b', '178db7cc64cc5726', '5df5b7738e92dce6', '21a783ae4c599ed2', 'f89dd1b50b7d853e', '113bfc07b50ce2d4', '8f143f06559309e6', 'd2d3474ebd2be7e8', '26df5708ad6e414d', '68fe4c264682a4af', 'de13992d44e86ff6', '18ed5f9e86797748']; context = [[33, 96], [9, 68], [30, 82], [13, 74], [29, 92], [16, 61], [22, 98], [6, 68], [1, 86], [9, 84], [26, 105], [0, 53], [17, 74], [2, 47], [89, 141], [7, 68]]; loss = 0.023385 low_pass_filter = 0.300
+Epoch 0: | | 40729/? [6:25:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 40730; scene = ['52ae99c76fa1395a', 'ccefd472a28ef3be', 'b900e3ccc4af394b', 'fff5c6b9222f5afe', '52060a4cb66b23b1', '1bdb1a3b250b814b', '2ff14d476e031ed0', '288ad5f87ea47b7c', '8e5d0fd1f5a66f83', '861b8ed2af3e8dd6', '334dafa3bf6fe7d7', '15f55eeb49f9a158', '93cf8f78beba9be1', '651950d4a7456c3f', '633cbde95abf1b3a', 'c82123c129f8fe06']; context = [[25, 82], [0, 46], [85, 165], [79, 168], [5, 78], [3, 67], [32, 118], [38, 115], [18, 66], [211, 268], [26, 76], [45, 127], [35, 122], [8, 83], [24, 89], [11, 74]]; loss = 0.023129 low_pass_filter = 0.300
+Epoch 0: | | 40739/? [6:25:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 40740; scene = ['94c8f1c6ee33001c', 'ddc351e8ca2cd299', 'e452811140e730af', 'fc46fa9bcb31d151', 'ba5f37a10c6dd859', '3d4952a1e8289a7f', '6b503257ae05df64', '936cfb94d0fa2d95', 'c54a9bc3c2a962cd', '78439ac06504df45', '057c338b658d2c6b', 'c177284557cac835', 'd8572a43b047b30e', '230f1a4b17cb49cc', 'e0bbf0c641a19362', 'e266859a380b328e']; context = [[14, 78], [152, 216], [2, 50], [118, 174], [21, 99], [7, 77], [169, 238], [0, 72], [122, 192], [40, 92], [0, 52], [133, 190], [2, 80], [57, 118], [43, 88], [12, 59]]; loss = 0.021121 low_pass_filter = 0.300
+Epoch 0: | | 40749/? [6:25:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 40750; scene = ['f94badaa12bf80cb', '66b0bedbd87eb6d4', '5dac5439a266d383', '895ca8e07071abd4', 'a120150644ae529a', 'b82808040252571d', 'b9ac53cf1cd3f4e3', 'e967a875e94bc523', '3d5a986156f92892', 'cdcf8ecbde39db10', '58694b5c16496ad4', '7577c75286a36d1d', 'bce0d3092c742885', 'd4c1ca9db3ae248d', '0e5ff441f61f8ea9', '8bc4be24233cbdf9']; context = [[0, 65], [68, 131], [5, 50], [130, 176], [3, 72], [123, 172], [6, 81], [107, 183], [5, 81], [26, 75], [11, 95], [44, 103], [6, 93], [50, 130], [18, 67], [106, 190]]; loss = 0.027486 low_pass_filter = 0.300
+Epoch 0: | | 40759/? [6:25:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 40760; scene = ['8a0a93588ccdfbd3', '4f3e8718190c20dc', 'fb7276f92ad63407', 'fdac21a86c2a1ef3', 'd3711836cd0fac50', '5064ce9e88bb3f39', '7b95b1f65f0d8687', '0300f87d2ff368b2', '79590833b9df5558', '8e9d9dc15b1707b0', 'da3e37eecbffd10a', '41b343385bcd830c', '2ae43ea35e770eb7', 'e18e70c8df6d6592', '9b8fd789ba8b27ca', '73211a2450692b43']; context = [[112, 161], [13, 97], [96, 164], [7, 96], [16, 90], [16, 86], [159, 212], [25, 84], [5, 60], [17, 64], [5, 78], [65, 143], [31, 90], [2, 91], [97, 144], [48, 114]]; loss = 0.029544 low_pass_filter = 0.300
+Epoch 0: | | 40769/? [6:25:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 40770; scene = ['2f66a0b10f4cfdfd', 'd029278cfa60deff', '5fc275a365d27e01', '368b3473d60b6385', 'be7a580fe9665300', '768926bca273960c', '741ebac263e5509b', '031f129ff5a92a4c', '0b3a9c304d2aca3d', '03489f334856d47a', '45f3a4d8c751c287', '64f7269d99fdaacd', 'e02e0c84614d4150', '8aa531490595fc1b', '3691359ea56c00a9', '2264c570151d3eb1']; context = [[90, 156], [7, 69], [45, 92], [1, 73], [6, 56], [0, 66], [161, 221], [2, 56], [87, 152], [2, 86], [76, 135], [18, 97], [16, 84], [6, 65], [0, 49], [34, 110]]; loss = 0.049891 low_pass_filter = 0.300
+Epoch 0: | | 40779/? [6:25:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 40780; scene = ['8c8d275be1d9c9c1', 'b72e9f8ef1767537', '27c1a03e4474dec9', 'c49c716e0257136d', 'e5b3c987f0c0c044', 'baf711049daa6d83', '426dd580102633b2', '0a08efb286b97b9b', 'd69dd8917d2e2142', '7d23814998002eaa', '9a6c343fec9da347', '21498fbe61ca3974', '84d357fb13b45975', 'cfc2dff63bf01958', '4c01186382ecdb09', 'f139ab06e65c3762']; context = [[13, 79], [32, 88], [172, 256], [4, 61], [37, 109], [82, 145], [164, 236], [83, 134], [14, 69], [8, 53], [47, 92], [17, 85], [36, 85], [8, 67], [57, 133], [36, 89]]; loss = 0.042412 low_pass_filter = 0.300
+Epoch 0: | | 40789/? [6:26:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000train step 40790; scene = ['c4f26243a134fdf2', '67e8fcf460a831c9', '367cd4834464c305', '3bcb40b1f0995144', '8107536fcadbb39b', '649c81d80ec01c3b', 'e6441dbfed825f03', '0b15419859947894', '7d900c809e896e32', '14032e27d5868321', 'c0740961ddca5c98', '677e8ff48506dc49', '81d9554ed347307c', '7a471a0c4fed1464', '4f56e3a668cd9856', 'e705e9ebe38e0f37']; context = [[56, 119], [49, 128], [2, 62], [8, 87], [5, 71], [108, 167], [89, 136], [95, 165], [202, 273], [16, 104], [8, 76], [97, 146], [36, 110], [103, 151], [7, 61], [8, 62]]; loss = 0.037868 low_pass_filter = 0.300
+Epoch 0: | | 40799/? [6:26:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 40800; scene = ['b8d9b237d3131022', '7f81444be57714a9', '16c8838c274625d4', 'b94b9c4beda6f0db', '760e5634a2d20b4f', '05bd93fee1f2ceaf', 'fcada92f8efeceb5', '7f502417702829cc', 'f47fb729fe708d84', 'f9ad1148fec61ff9', 'b94ba0428cebcce8', 'eeb0e35b62021a9e', '7175d6d6e0e136fd', '5dff6c5a1714832c', 'b47700a41a540d57', '585022f8552afb5d']; context = [[198, 272], [54, 99], [4, 73], [18, 70], [1, 60], [0, 51], [5, 67], [117, 174], [13, 60], [133, 214], [3, 58], [17, 89], [41, 109], [4, 84], [15, 77], [14, 103]]; loss = 0.029965 low_pass_filter = 0.300
+Epoch 0: | | 40809/? [6:26:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 40810; scene = ['1b200ddb0e8760fd', 'd2df2ab53964add5', '3d9d33cc3bedad51', '16ad60739d062c0d', '6e09af7c60023293', '4f28c295c810a208', 'b3c9d4f0a127bd68', '53211114a875b55a', 'f862002058e25989', '31da0a27f94b7b08', 'aed4f9a3b890e8fc', '678d371ddb5b47db', 'd65853f83bd609aa', '7538efadae587e9e', 'd50d58b66f4b1d6c', '84d69a2e8b30531f']; context = [[5, 89], [4, 68], [15, 104], [132, 184], [0, 66], [3, 69], [2, 65], [92, 159], [11, 100], [39, 89], [0, 90], [18, 73], [62, 135], [38, 90], [4, 64], [61, 112]]; loss = 0.025929 low_pass_filter = 0.300
+Epoch 0: | | 40819/? [6:26:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 40820; scene = ['de72e7430ace193f', 'c2e24813705c3768', 'd78319cea2d2f267', 'e3934b50d763cc3e', 'cc1939ad78497c14', '6b1f86e9e65ba131', 'b78bf8d0319fba08', '0dbe8d0d16ba2e5b', '3df9d0d002a0a0c0', 'fb32c9eb51209279', '5d1b54e167f45113', '4dd1e7636b5fbf13', 'fbda7cc833f25a78', '132dea1279481222', 'e99bc2b58b6f2ccd', '689eb631613c402c']; context = [[17, 71], [18, 100], [8, 79], [29, 108], [1, 48], [14, 73], [49, 135], [104, 157], [73, 148], [75, 138], [3, 81], [39, 94], [15, 86], [0, 79], [4, 66], [9, 62]]; loss = 0.025472 low_pass_filter = 0.300
+Epoch 0: | | 40829/? [6:26:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 40830; scene = ['abfcade637383eb9', 'fdc78f3a20011090', 'ff233cb7b51443b2', '9abc9eb2d8d58140', 'd6d5cc5c3344fca5', '2ad24b5dd5badb67', '2972a48deb0c801a', '0e10db62c44b48ba', '209188b1da3526c6', '65dc8616fdde3ea8', '0c7d36ad5763c797', '5387ea1020469345', '4722c8deb063edf6', '1182d7d1c0cbff1e', '6a40b490a091c77b', '4d6a1bf4c39100f7']; context = [[87, 157], [68, 134], [76, 124], [30, 102], [183, 258], [43, 110], [11, 70], [116, 174], [1, 46], [31, 121], [28, 83], [0, 45], [118, 179], [35, 101], [40, 86], [0, 53]]; loss = 0.024924 low_pass_filter = 0.300
+Epoch 0: | | 40839/? [6:26:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 40840; scene = ['8c6a2ed66efe8668', 'e584324a741aa792', 'dd74c21cc9f33ba0', '906dd43d6151d7ee', '2d2aa678502675d7', '8e099474b5782d9c', 'cb542d21ad5541cc', 'c739cd1692a75295', 'dfb72373de1aa058', '423ea2969049e51e', '8bf73bb389305185', '738d6ac1a13f0799', '01c5723c47c79997', 'd42ce2545d9abee0', '8e65686d3d0c7917', '7418314e76240536']; context = [[52, 134], [7, 91], [97, 169], [66, 120], [92, 182], [15, 86], [1, 59], [7, 75], [98, 178], [19, 109], [21, 85], [14, 99], [90, 166], [14, 74], [79, 150], [155, 241]]; loss = 0.029567 low_pass_filter = 0.300
+Epoch 0: | | 40849/? [6:26:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 40850; scene = ['20fa097f9ce07b6b', '9fbcf3237d43c93b', '51f633fd87dee5a3', '7c1d6f3dd9542cc9', '4d11b8a54ca3f310', '53d3a781a7db7cae', '9bc6fbf248bc726e', '7877153d7b11265a', '95e2d1a9e6e1ce77', '5a56b75ac75a93a8', 'a59d4fe567e33cf0', 'ce02a33915d0b0d4', 'e3f35f5e469a2642', 'f9fbb45ed5a7a61a', '772ee7030b08809c', '6542abd58a761087']; context = [[38, 86], [0, 48], [19, 95], [26, 82], [11, 89], [15, 63], [0, 55], [3, 75], [113, 168], [24, 89], [73, 127], [1, 67], [25, 100], [88, 143], [65, 111], [50, 101]]; loss = 0.025348 low_pass_filter = 0.300
+Epoch 0: | | 40859/? [6:26:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 40860; scene = ['cc8d60b67533bda7', '6113251e446acab2', 'aece43a03f5a4a78', '100c1419734fba67', '2659ec816ec78ee5', '11a2ff11b09706d3', '6e022744f8823ba4', 'd2e9c0ed4e9085fd', 'ee69514b21676244', '1f5eb53fc4c87e09', '6854b28be879be74', '212560bf98f95251', 'f85bd402fe4e1ef9', 'a6098adcc247f200', '29f0357322f1c8e8', '0284a77587f91afb']; context = [[6, 65], [148, 217], [0, 66], [79, 148], [87, 154], [7, 61], [61, 147], [65, 138], [1, 81], [9, 95], [177, 224], [91, 142], [3, 64], [92, 162], [148, 218], [2, 61]]; loss = 0.022847 low_pass_filter = 0.300
+Epoch 0: | | 40869/? [6:26:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 40870; scene = ['ff9879889b2fc896', '2a4284701926a108', 'f39af59fb4167fff', 'bb9481478f3f6d69', 'a92a2144824ec5d0', 'ab0df7dfba225813', '6ceef29d3cd6caf9', '5fd4e49b87e4a570', 'cf5a9d93df10f156', '4ed711808ac6f7db', '68dd157e5cdb64bf', '3aab66fa01a69daa', '95e435653707db95', '0af84dfcb9f53f97', '528b96fa2edce81a', 'df1b7ba1b76c0fd2']; context = [[4, 74], [32, 90], [70, 153], [139, 187], [44, 108], [9, 75], [18, 84], [2, 49], [90, 167], [65, 123], [30, 97], [156, 242], [42, 106], [25, 110], [46, 91], [40, 86]]; loss = 0.022026 low_pass_filter = 0.300
+Epoch 0: | | 40879/? [6:26:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 40880; scene = ['5403b2116cfcb7f4', 'e8198adc8f286ca2', 'da2afd41d40b5366', '88ec5960ae4ad257', '90b054efa5dff38f', '6a10db1b9a53db71', '08b847b675424659', '79acb6327881e101', '7d4cc2212a819b09', 'd7576649d0266727', '845fd245a93eff4f', '039b1dfb06179920', 'c0d8276757064ece', '39c04c73d4bd21dc', 'aec9839d095186a5', 'ce68b2802d6819ee']; context = [[2, 78], [56, 132], [67, 150], [27, 84], [1, 83], [12, 94], [9, 91], [11, 88], [12, 66], [1, 67], [18, 95], [16, 83], [13, 65], [0, 69], [1, 89], [23, 79]]; loss = 0.025759 low_pass_filter = 0.300
+Epoch 0: | | 40889/? [6:26:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.70, train/active_min_children_step=4.000train step 40890; scene = ['55bc5c2ac085ff36', '868ff2e3f4d67849', '65d8a439ddbae342', 'e54340dc6d0ff20c', 'dc8c60520f97768f', '7fa967710229854e', 'c90c46a5a1c95c0e', '26df5708ad6e414d', '68fe4c264682a4af', '8f143f06559309e6', '18ed5f9e86797748', 'd2d3474ebd2be7e8', 'de13992d44e86ff6', '5949f0b41fb6e848', 'aa0fc15ff8226499', '2ba70c51fe7b9b31']; context = [[90, 166], [60, 118], [10, 65], [11, 67], [136, 215], [0, 45], [58, 108], [24, 105], [9, 65], [92, 182], [6, 62], [5, 53], [91, 152], [34, 85], [28, 91], [0, 68]]; loss = 0.024200 low_pass_filter = 0.300
+Epoch 0: | | 40899/? [6:27:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 40900; scene = ['a99e79f3bf4c13da', '9ef7e60ae9442a54', '21e72cbe7342ef40', '43b6772d1f71154c', '1a7204b603b0c765', '5f488b72ead7bb74', 'ef9f95673c607cfc', 'c2c37a6bf0a12e0b', 'afad90a8ee12661e', '5db1f93559662c33', 'a950d4448837f574', '158c7dda2cf0765a', '9c6f712cead21584', '142af18c2b5f0145', '852f866007866388', 'd5071670e0c38441']; context = [[3, 68], [13, 58], [25, 88], [0, 85], [0, 69], [65, 129], [87, 135], [36, 85], [24, 97], [8, 87], [1, 48], [76, 130], [55, 118], [32, 86], [102, 162], [19, 108]]; loss = 0.022824 low_pass_filter = 0.300
+Epoch 0: | | 40909/? [6:27:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 40910; scene = ['f8aece902fb528f9', '57262e32f60a57d7', '249183bae475a01c', 'cdcafbeb344e83e5', '3a7baa3f05310611', '14f099649aa0cda2', '4d549d57084d7a1d', 'c080ad8a9a24dcc9', '0883f1f1781e205c', 'ef557dc83952824e', '57ea9d333a45531f', '9ed3f1ca76f706b9', '1b65116c3c5c1368', 'd33c8f0679967f14', 'dd70a2787fc81ef7', '475c01ee641612f6']; context = [[9, 61], [21, 91], [194, 265], [4, 89], [46, 126], [4, 62], [82, 169], [148, 213], [16, 85], [12, 67], [23, 105], [12, 100], [5, 92], [4, 81], [4, 56], [163, 240]]; loss = 0.030048 low_pass_filter = 0.300
+Epoch 0: | | 40919/? [6:27:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 40920; scene = ['66e596d7d9e69462', '6d6eb353e0bae93d', 'fae6b0485c4b48ac', 'aac681d019b30c56', 'c93a9c352e932c3d', '04f2bc5f16d4cb18', '58a22a9b8905283b', '71c29ce63894ae3b', '52c9ffc4ef2a36f4', '43c384625028872e', '43739f82f554c901', '64f07750a0acd912', '939847209cf6cfa9', '1a50a5e0096742c3', 'b090e2aca65c679a', 'b894adf6610ec8a6']; context = [[72, 150], [6, 72], [0, 47], [4, 89], [154, 240], [13, 82], [37, 95], [13, 85], [0, 89], [0, 69], [148, 199], [60, 126], [2, 61], [99, 150], [28, 77], [116, 169]]; loss = 0.025191 low_pass_filter = 0.300
+Epoch 0: | | 40929/? [6:27:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 40930; scene = ['55c975532d573be6', 'e3c32897e9c64042', '1d23a5cfc0b1d508', '8359c9726f078a38', '85944298a922538c', 'b579abf5d7100792', '62e2c4c0f76a53e8', 'de2eb4f6f8635fff', '196e7292497fe4a3', 'cc7dcffc9cba38a8', '02a9f1d0c440516c', 'e5acb4c6ebf8af27', '26478c3488603e09', 'b8d7dad69da49e51', 'd27aedac17239369', '607df63ac84ed24b']; context = [[22, 79], [1, 53], [7, 53], [10, 69], [5, 58], [14, 86], [164, 221], [29, 104], [12, 83], [58, 113], [56, 143], [19, 102], [20, 82], [64, 118], [38, 105], [76, 121]]; loss = 0.027304 low_pass_filter = 0.300
+Epoch 0: | | 40939/? [6:27:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 40940; scene = ['3f12567c1f0af984', '79554d6408c5040c', '62f3272b59ba94b2', 'db4e2323657a6604', '82fb4185a92b98a2', '4e7d8ed51095038f', '87c15bdc99de8b19', '17657ab0d679384c', '914d28b1a6619d56', '3f910c5dfda4e9e3', 'be58ff6a05db979a', '40e959fe748bd12e', 'ff940b152f67e64f', '666fbacf3d76fb89', 'd1f93f6069123a71', '8a24894256c16beb']; context = [[109, 155], [47, 106], [128, 193], [19, 90], [23, 68], [45, 117], [7, 60], [117, 199], [32, 90], [40, 96], [40, 101], [17, 90], [10, 66], [14, 69], [13, 62], [15, 79]]; loss = 0.026231 low_pass_filter = 0.300
+Epoch 0: | | 40949/? [6:27:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 40950; scene = ['8f92cbdcc847a53b', '92a9ae6a8e0bc730', 'b078271cd9b0c60c', '3cfb4841333f7534', '51a10e26d331a7a6', '3900e658171214bb', '218374163d050ea2', '36419a3bac6c576f', '093e9cccabc07b67', '4fa6e4051bb5770f', '63f02ef9a059cab5', '1ccf17e4cc459d89', 'a2ee374109858209', '68a45d0deef42284', 'b78e8eac3de74061', '0e2aaa4f464750cd']; context = [[4, 50], [22, 72], [4, 60], [63, 130], [199, 251], [113, 190], [10, 99], [4, 90], [74, 130], [54, 141], [64, 122], [13, 66], [10, 98], [7, 72], [53, 100], [75, 158]]; loss = 0.022185 low_pass_filter = 0.300
+Epoch 0: | | 40959/? [6:27:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 40960; scene = ['759a73395c5c7438', 'fa0ebac9a7dc602c', '3840264dfb7c4d0b', '71d70edad4f466d8', 'ea672c1776514bc2', '124a8e1a8219f20f', 'c13a53c648b36401', 'e8de65fe4e647a7d', '40376e9c2cadecbf', '7025666cfb44748a', 'bb32e9a89ca9387e', '31250ac58b3e32c9', '004daabedd090309', '436ccd6836a9c74e', '533c2f41ab209d24', '19628f94fd6a344d']; context = [[81, 144], [81, 134], [9, 57], [65, 136], [133, 201], [16, 75], [2, 67], [2, 52], [95, 168], [20, 85], [91, 177], [125, 171], [18, 102], [17, 90], [7, 59], [141, 217]]; loss = 0.024490 low_pass_filter = 0.300
+Epoch 0: | | 40969/? [6:27:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 40970; scene = ['e290173c0fde2ae8', 'bdc7f48c83230b3d', '3e2dba0df6626ad0', 'c890bd86e883aae9', '8160c9bb2be20ad2', '4102f7e202592faa', '897f99d6944efe16', '919d9ffa7703bf0a', '3ad6c4faa9fe5e60', '8e481a83f1b68949', 'a894ccf3eeda06d0', 'f5b10b2effa2c945', '1fc68db949b1305e', '011dbae1fc189e93', 'fdf39d23e4d2212d', '3555b2375c745e15']; context = [[83, 166], [43, 119], [20, 89], [18, 75], [2, 48], [12, 67], [18, 89], [8, 55], [9, 92], [14, 61], [9, 61], [34, 81], [57, 118], [5, 60], [69, 118], [39, 93]]; loss = 0.025474 low_pass_filter = 0.300
+Epoch 0: | | 40979/? [6:27:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 40980; scene = ['08fc2ff373ab5df6', '5ff34635d3805f71', '3103211bbc2408ea', 'f71d860c46301723', 'e327aa8d28ca11d0', '1b95d354eed7159a', 'ffd19f414629037b', 'f7e97032335eadde', '0e29ad53f7038adf', 'f68d49dddde45d32', 'cdc51e3b5f9b8e5c', 'e9c7429c38f43e66', '7c7cdad9ebdae004', '89cc337397133f3e', 'f74b389738420c04', '4aa5113cb53c2951']; context = [[4, 50], [1, 88], [3, 66], [98, 165], [11, 99], [9, 84], [34, 93], [45, 112], [2, 69], [79, 165], [39, 102], [9, 69], [140, 221], [178, 228], [2, 66], [101, 158]]; loss = 0.030444 low_pass_filter = 0.300
+Epoch 0: | | 40989/? [6:27:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 40990; scene = ['49a5ad0378eff134', 'aecf769bca7bc5ce', '1185cec1560a7b31', 'c40af6052df793cb', '26aac88656a643d5', 'aeb0a9a7ae4b838b', '593dfdee6abc704c', '4c6b267e4c124540', 'd289541809be1924', 'a60e4127f167ac93', '4ca457ca633e17e3', '69596c7df4b9df23', '7a40c2ec4e36880e', '11a0178831a2ae2c', '48c9bb29482ddf76', 'f61b6261a949358f']; context = [[2, 79], [35, 104], [7, 55], [18, 69], [19, 89], [2, 52], [0, 80], [28, 74], [10, 66], [85, 175], [21, 71], [37, 103], [11, 89], [12, 69], [17, 88], [17, 102]]; loss = 0.022583 low_pass_filter = 0.300
+Epoch 0: | | 40999/? [6:27:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 41000; scene = ['5b42aadc59b3f4f3', '42a8e3c55088a4dc', 'ab69710e23ffa519', '3cc8d06011dd9207', '08229b370b6679ab', '88738a0216eaac3d', '89200a23ad856a24', '8717033b0c015117', '1cb6b3a29a639e63', '9507201d84c13ca2', '303d4152e23ed544', '785b4e92df170c53', 'b868a5e2c04c318a', '1b27574df699e0f1', '530058879ee605a7', 'dfca45b7bac8c60b']; context = [[33, 114], [18, 70], [65, 139], [0, 70], [1, 75], [7, 62], [76, 160], [4, 66], [1, 70], [35, 108], [189, 271], [25, 75], [159, 249], [45, 119], [33, 85], [60, 143]]; loss = 0.028689 low_pass_filter = 0.300
+Epoch 0: | | 41000/? [6:27:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000validation step 41000; scene = ['015631b21f792a12']; context = [[57, 137]]
+Epoch 0: | | 41009/? [6:28:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 41010; scene = ['ea6ed2808e7a6b2b', '590d6f715d8edd9d', 'bde0ae0a61223088', 'bb2c45db780e6053', '79d69af91cf6b1a7', 'aff1a276b88f95c0', '623a5216fb75cc8a', '81f0e23b267f977f', 'cc3b2bb760ce5ade', '2e25e9e465061299', 'b7a4d8bb62482f41', 'eebbabe770803962', '97be57ad8c57e50e', '9995ebd239715b8e', '45640ebc88e55a99', 'bd17df2a73c9610c']; context = [[8, 83], [142, 227], [20, 69], [10, 61], [1, 51], [2, 72], [35, 87], [15, 68], [12, 63], [11, 101], [60, 150], [2, 70], [69, 140], [31, 99], [21, 106], [61, 147]]; loss = 0.031132 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 41019/? [6:28:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 41020; scene = ['319808fe19b84a1d', '6d68e73f69d73d07', '71ffdab54dd4d5a6', '1b97512a507c1af7', '2359aae1dcdcad57', '677f2e47f3371b23', '19c1be98c8cc8c2f', '09ab565950cc3b2e', '7002050eaf600751', '30ed18ab2cc0e103', 'a33ab61ae99bf117', '3b55d9ff7f824fb3', 'd677f3e6092f2fb5', 'be46f8455477ba86', '4ba1c378fd584bdd', 'ba46035ebb408dd6']; context = [[12, 85], [4, 71], [6, 57], [14, 62], [1, 61], [3, 72], [17, 106], [0, 65], [41, 89], [52, 137], [3, 48], [118, 195], [14, 60], [126, 216], [20, 68], [22, 95]]; loss = 0.022074 low_pass_filter = 0.300
+Epoch 0: | | 41029/? [6:28:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 41030; scene = ['eab2801e7ce5e17a', '9411f16aee4d909f', 'e3e8d578bcdf23e4', '2075d6b4ba887069', 'd58d5c6a87dd5dea', '2a6b47d35a74d85b', '09238d4624f16c55', '3567e42cd469fe52', 'fdf733d3297e24f3', '5cff1e4a72fd38dd', '2bd6b11df030a5ec', '79f1ba29ca9dbf2d', '9327d6be6d69b135', '7b13965de06843ef', '206c406cbb54c9d6', '714c3dc97fac769a']; context = [[0, 54], [183, 270], [4, 90], [18, 89], [34, 103], [17, 81], [4, 66], [51, 137], [2, 66], [13, 72], [7, 64], [145, 221], [1, 57], [27, 110], [3, 82], [15, 80]]; loss = 0.026850 low_pass_filter = 0.300
+Epoch 0: | | 41039/? [6:28:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 41040; scene = ['2fc448010ddf9c0d', '93ba1cbdfc5cc86e', '5a2361e3f5e87672', 'a13d8d996ab50fd7', '162d2f3288eec573', '946b5a5a5fe14cb2', '1eceb072c56cef6a', 'ef1960d77e70c4eb', '2f7ad185cb1a633d', '88d98887a0d02f35', '4f42d4beb74ef8d9', '1eaa109d45cc63a0', '2c7d16cf329d8c30', '50fe60755e841285', '68def34f2c950976', 'd2a9abc9f488ab92']; context = [[6, 59], [23, 72], [7, 75], [7, 73], [148, 224], [37, 94], [27, 113], [114, 204], [77, 127], [6, 69], [2, 55], [19, 71], [0, 63], [16, 95], [39, 120], [0, 48]]; loss = 0.027747 low_pass_filter = 0.300
+Epoch 0: | | 41049/? [6:28:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 41050; scene = ['208e267f234ea686', '7c176d9aef38ada9', 'df54544af0cb2814', 'a5f88d386483e9c2', 'eb2b2c9b2fbb446c', 'a32aa8e09cb77fdd', '4eb8e624b1601660', '04a742730f96266d', '8dbd94846f7400e8', 'e1b31ddd45f4eb68', '432f3248df5f40c5', '6b98e19060e46fb9', 'e558582f51260b69', 'b4873bca252ef9a1', '4d809b298356061d', 'febe496e41fa74a0']; context = [[160, 211], [62, 139], [11, 98], [73, 142], [51, 104], [11, 66], [2, 54], [36, 100], [45, 93], [6, 87], [3, 50], [140, 202], [13, 73], [40, 105], [55, 123], [6, 66]]; loss = 0.024526 low_pass_filter = 0.300
+Epoch 0: | | 41059/? [6:28:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41060; scene = ['05339963edb6000a', '1300f3d98b10fbfb', '03d9809c2ddbcece', '52d043963e210bfc', '0193a365ffbc8188', 'f48f11c8b6fca413', 'f97098cf86a9c9f0', '53f494ba124765ae', '210c615665e722ce', 'd8445efc40a8fca8', '0e993fce1ec5e3b0', 'e02e87df15575cae', '02b2ea54d6cf57be', '6a058519956239d2', 'bb747b7bad77958d', 'ab4b384f7cb7f24b']; context = [[0, 52], [86, 160], [2, 79], [11, 98], [14, 102], [2, 76], [131, 199], [18, 78], [83, 136], [18, 108], [16, 100], [7, 77], [9, 86], [3, 61], [37, 122], [5, 88]]; loss = 0.032460 low_pass_filter = 0.300
+Epoch 0: | | 41069/? [6:28:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 41070; scene = ['7dd8fc2a2879081b', 'f26b0f41d07e095e', 'e1552e01242047f0', 'b6ad7033ca0cbc19', 'c356250cc2aafb8f', '27fc0e7b8cb19777', '5c6220acfae016ee', '4f3469437e46bd88', '3e8a7a45047fc892', '669108f020ce9326', '69a74d6dff7e4ecb', '9332241d744fcc89', '709476c26a219c69', 'c10d7356f8a3a3ab', '41fffc6d9d335b3e', '75c251fea8145421']; context = [[61, 106], [15, 79], [9, 62], [30, 112], [92, 158], [2, 80], [32, 105], [74, 125], [14, 74], [109, 183], [118, 191], [35, 97], [1, 47], [86, 131], [17, 90], [15, 91]]; loss = 0.023865 low_pass_filter = 0.300
+Epoch 0: | | 41079/? [6:28:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 41080; scene = ['701e1e67ce9a49ec', 'a93cf5afa5172f2d', '54dcba84c9970357', '52a42bfbe8f965b5', 'dcd5b87a61298893', '22d1422ff4247b34', 'd6ae7df1d2f33c9e', '2cabedba16dcdc84', 'de03eb2fb73856a2', '875fb09a10109ce7', 'ddc7cb426ce19857', '7245e11c64786906', '9807f8f6ea448e58', 'd4a3e84b341bec13', '6196f4fa2700b0af', 'da0680ede2d63536']; context = [[10, 61], [120, 173], [2, 64], [104, 186], [63, 144], [41, 122], [26, 79], [7, 83], [21, 75], [88, 147], [38, 102], [3, 92], [22, 111], [71, 154], [4, 60], [17, 71]]; loss = 0.025483 low_pass_filter = 0.300
+Epoch 0: | | 41089/? [6:28:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41090; scene = ['cfa2450736df61d1', 'ce93ee0eaca72e6b', '24502963bafe2fa5', '310940bff3f06d17', '2ba97c65f2b6b12d', '55e04e9b50ee3cd7', '3d324e5e8a7790b5', 'b620dfaca7a37365', 'a7285c6e5c20dfc2', '3410d65a1b870eb7', '93e4362f1b5a692f', 'fac4848086b213ef', 'de7427712778e01d', 'a1c4f2db52b4051c', '05afb96fc56cd180', '42542d645678fd04']; context = [[10, 66], [52, 104], [56, 131], [20, 107], [61, 115], [37, 101], [24, 114], [53, 105], [49, 119], [0, 49], [7, 63], [15, 72], [16, 65], [19, 83], [1, 63], [45, 132]]; loss = 0.024678 low_pass_filter = 0.300
+Epoch 0: | | 41099/? [6:28:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 41100; scene = ['c643bb23eba2cf21', '92bd941ab6967c92', 'a54c7a2b9fbf4dd6', '885ae680bb5ea997', '441fb31750988576', '16f6aa5fc0f28551', '7fe2b466e98518a3', '47ae6002443da89d', '24d6737d4295778a', 'aeba0e80ade27c60', '9720a52405835b98', '0e72cd138b93788d', '58fd1e2aa6aa30fb', '0eedfd3367866a18', '332db302db18a6b1', 'cb17ff92309f6c21']; context = [[10, 97], [40, 101], [0, 67], [15, 64], [16, 79], [87, 133], [17, 103], [98, 158], [37, 86], [42, 103], [0, 87], [157, 216], [20, 86], [17, 92], [2, 89], [6, 62]]; loss = 0.025258 low_pass_filter = 0.300
+Epoch 0: | | 41109/? [6:29:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 41110; scene = ['e7887dec76685627', 'e9d9dc952f5bbd83', 'f9e30677a660d5d0', 'c65b5c10c857ed26', '29bae6d351890d6d', '4cb55081f9816caf', '13e1d5e8a0e6b2bd', 'c30cf086d597aba5', '964d84c15eadd21a', 'f63a4086664bd09b', 'bbdd49ec9677e590', '55884a763d483c32', '1ad6f571781d4e71', '35d818d3fdbde683', '33dc89c64aa1a814', '6bd188e48caeee1c']; context = [[34, 94], [39, 114], [43, 105], [39, 94], [22, 69], [41, 101], [65, 134], [17, 84], [34, 104], [4, 71], [47, 111], [7, 63], [14, 59], [32, 84], [131, 210], [65, 136]]; loss = 0.024241 low_pass_filter = 0.300
+Epoch 0: | | 41119/? [6:29:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 41120; scene = ['bbcc18ce68c1bcf2', 'a5a8e6a3d35a22c8', 'df662bb3e944a8db', 'f4e703d23e3cd7b1', '51a5009f56cb9674', '8e3dfce25f2d216a', 'cffffa4c0548a72d', '144913b1e5d43257', '5c552b9885372466', '67a7ae30083745d8', 'f78010c2da94ccc1', '9db73c761e584373', '06b03bd52b56ca94', '31abf1faeab6bd13', 'd0e8acdfd091d26f', '3281c500dfa5bf48']; context = [[176, 242], [7, 61], [0, 46], [7, 88], [58, 137], [6, 82], [86, 167], [16, 71], [17, 79], [85, 170], [8, 82], [9, 94], [84, 150], [18, 82], [17, 84], [12, 66]]; loss = 0.024872 low_pass_filter = 0.300
+Epoch 0: | | 41129/? [6:29:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 41130; scene = ['70e9cedc1b651390', 'fdb6fe07b7177854', 'de1cf9fef80fbf69', 'cbb41882beb54a0f', '7b0ef31a4906b4a4', '1359aae95ae32f92', 'abf5951971f6f3b4', '9b9ffa6305068282', 'dbe7ffcf03148e8e', '991b3ad0e6529d38', '02c8c0e9587b4417', '1d49bc9391005354', 'e1d54f5b0c99afc7', 'be0ce1ab279edf70', 'f1acae7a283e8298', '4292af9da6eab2e1']; context = [[28, 82], [74, 158], [11, 56], [1, 66], [19, 70], [16, 66], [13, 74], [20, 80], [0, 46], [14, 78], [14, 61], [2, 80], [72, 123], [2, 69], [5, 66], [67, 134]]; loss = 0.023304 low_pass_filter = 0.300
+Epoch 0: | | 41139/? [6:29:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 41140; scene = ['4a12eddb909e001a', '96640585e0c7373c', '8cee9991d18c1f9b', 'eb0d89c323b8848b', '7d25a46eba7a6f2b', '61b47f4bc7d7d615', 'ce83b2cb583c5746', '9b53b65f6589b449', '3e30604f4534a8fb', 'e6acd6116662f723', '1d09d68c42cd89c7', '69d48147d336abd9', 'dda3ac5e6f3750a1', 'f7f3359cd5a72d36', '9b11721b160505e4', 'd1470dfbdb2d9545']; context = [[0, 58], [110, 197], [62, 119], [102, 176], [2, 58], [23, 68], [0, 60], [51, 138], [0, 74], [3, 73], [28, 106], [18, 85], [47, 127], [15, 83], [33, 79], [65, 134]]; loss = 0.028043 low_pass_filter = 0.300
+Epoch 0: | | 41149/? [6:29:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 41150; scene = ['c0e9d9f4f60169e0', 'c532c6f1dbe975b7', '3ec1eeba0cc084af', '60a584cf224950a4', '373ce003d1e0bdb9', '34037b62eef60172', 'f8ee5a395e856a9d', 'b86f88d0d21318cd', '7c6d160c26de6887', 'c38835db6bec2825', '44c89ea5834e28b3', '0efc5f77b13da150', 'c7159a8daad87750', '28e2882fd19235da', '9d04c5c69b79b41b', '8dfe8887806a699c']; context = [[7, 77], [16, 89], [160, 232], [3, 61], [141, 210], [12, 74], [24, 82], [22, 73], [151, 208], [22, 105], [27, 94], [4, 53], [11, 56], [11, 59], [67, 133], [5, 72]]; loss = 0.027460 low_pass_filter = 0.300
+Epoch 0: | | 41159/? [6:29:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 41160; scene = ['314b6d851322d367', 'f474a94441893d23', '82f71425ef743378', 'b59e7acf1e36fb78', '7e9f7d67297a7768', '8fdc497d1fbe893e', '1d808d00657a8147', '366ae2b065afdfc8', 'e33681181c5c641a', '3706e43acaa67c66', 'ed0e0e3d74ae9bb2', 'b68da6541d97312c', '3a696d55abbdff77', 'b9145d57be555d21', '74411b139d83a461', '3e53273804a1b9db']; context = [[21, 82], [2, 75], [5, 59], [181, 230], [26, 97], [10, 99], [34, 92], [95, 178], [1, 78], [40, 98], [26, 78], [19, 90], [47, 108], [39, 127], [83, 164], [2, 76]]; loss = 0.035779 low_pass_filter = 0.300
+Epoch 0: | | 41169/? [6:29:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 41170; scene = ['f3c8c41d370f099b', '9b5e2c34608774a6', 'a5dc410ab6b6ffdc', '26a19d5d4d76f83d', '172007be3056a5e3', '87f309174a1f7823', 'cd6004a198ec5ce7', '89610e2709f7fe4a', '6bb980981d578f1c', '1dd657d729988154', 'b66b5fe75bc57149', 'bf7db154feb5eb9f', '6a1f10429ae1bc45', '36aade8d48bfd9a3', '74e0443fbbce9f58', 'b1fa7e90e6eb4a8e']; context = [[73, 128], [130, 197], [18, 81], [40, 104], [145, 232], [28, 79], [2, 48], [7, 58], [4, 70], [86, 136], [24, 91], [3, 54], [14, 63], [14, 96], [42, 129], [8, 61]]; loss = 0.024125 low_pass_filter = 0.300
+Epoch 0: | | 41179/? [6:29:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 41180; scene = ['36104f651c97fdc3', '22de6281fa85c7df', 'a04c39adc3e4b7d7', 'db16b0a1cfc0def3', '673bb70a9e431738', 'b6bf9b89e1af61c0', '2988f7cd6578fe52', 'b776e79d3e36a209', 'bdcf63d0e401dba9', 'd2f6501e51fda88e', 'f91d97a02869cbd5', '7dd3394cb3908cef', '3b478464a6665998', '56f95247e77bedc3', 'c0866648804899eb', '37fc71e2d5534f99']; context = [[21, 69], [22, 75], [6, 73], [44, 104], [5, 58], [0, 65], [32, 106], [12, 78], [0, 63], [88, 141], [19, 76], [27, 77], [35, 119], [196, 254], [33, 82], [79, 147]]; loss = 0.025044 low_pass_filter = 0.300
+Epoch 0: | | 41189/? [6:29:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 41190; scene = ['90e977ece4eb6ea1', 'cd2e6f4d92d5d529', '57db819c1a84d2d2', '8a9a72e312f128f1', '5eed6b0dec374d1f', 'deed1e553b4905e1', '723f157b2ec763f1', '46019499e273d03b', 'aee2a809c583895d', '203db9a6ce37b351', '0f669daedb93570c', '15f662b610839883', 'c343feccd0e79933', 'ed3d1d0539b10ee2', 'efa2de9e4ecc35c1', '06966417c542a4f6']; context = [[15, 82], [32, 106], [104, 182], [0, 66], [61, 140], [60, 112], [58, 110], [7, 72], [228, 273], [1, 59], [14, 92], [23, 70], [21, 74], [56, 132], [157, 216], [48, 105]]; loss = 0.051159 low_pass_filter = 0.300
+Epoch 0: | | 41199/? [6:29:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 41200; scene = ['dfd336dfa3c2fb00', '3a7baa3f05310611', 'cdcafbeb344e83e5', 'dad3930a5a5ff06c', '4d549d57084d7a1d', '0883f1f1781e205c', '4188d18d531e631d', 'c9a73532f0cc200e', '3c98d600041d2bcc', '94aa49ed217160d2', 'e840f15a503d14e5', '5b3ebcc7978db790', '97f73b3de5c78cc3', '779e552026166070', 'c998093c16301e1f', '78463c78b97d6cdb']; context = [[28, 118], [2, 82], [3, 88], [12, 74], [142, 200], [18, 64], [209, 259], [25, 77], [19, 71], [21, 110], [145, 217], [5, 90], [33, 106], [54, 106], [1, 62], [3, 62]]; loss = 0.024351 low_pass_filter = 0.300
+Epoch 0: | | 41209/? [6:29:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 41210; scene = ['29e7e600b76ae5af', '1a1a95caa829994d', '730bf012195de6f5', '99bbce4182325b7c', '6b0f7d9de50fc961', '167823fc4a12fe62', '9d03d8ba99285dd3', '38a49a9ba946bcab', '92b5216fa485a257', '778b069f291493b3', '44ab1ad50cc2d30a', '805e0eeb667b8d69', 'dd70439f8c63e2c9', '52dad29ccea8dfa7', '01e2bd7042fb4bd9', '1300df0c4d61179f']; context = [[15, 82], [190, 252], [13, 89], [4, 64], [49, 136], [3, 60], [1, 87], [0, 49], [119, 165], [0, 50], [9, 73], [102, 183], [50, 128], [23, 93], [5, 94], [9, 57]]; loss = 0.026023 low_pass_filter = 0.300
+Epoch 0: | | 41219/? [6:30:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41220; scene = ['ebab6115d84e38f1', '2cf9926a578c2784', '071317a7a935d94b', 'be920b88d4014762', '7df5dfcb4c9f5e24', 'ca2e6a9878ee4e4e', '264bb76b06bac802', '140ec322ea5a197f', '244eda7c0944fa1f', '31c7ca382b4cf406', 'f25f89722f6fd7d2', '61944f66d6b0c7b6', 'c90f01f360645e27', 'ee7877c90977cfdf', '7258700ff6e92e8f', '400f918d4cdfed4f']; context = [[1, 48], [51, 126], [0, 57], [0, 48], [3, 90], [8, 77], [45, 107], [87, 157], [114, 176], [34, 99], [154, 223], [71, 160], [104, 151], [13, 75], [71, 151], [1, 58]]; loss = 0.024009 low_pass_filter = 0.300
+Epoch 0: | | 41229/? [6:30:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 41230; scene = ['0972b63d6da3abd4', 'cdd401649a7beba0', 'e65dbd8f3fa574cf', 'c48ae441e013959b', '19f18091790cb8b4', '9bbdf26fda3f7aa6', '060888ad72a59ce7', 'c4b5cf9bba4c5620', '16c3333a33394e05', '2fff3b2844c2f1cb', 'd07f942cbe5dbb23', 'a3510c2a3ecb7271', '1638d45be05bad08', 'ab3ac1ab685dd2fb', 'a094ba1980c7d5dc', '445733250e277c1e']; context = [[18, 93], [47, 113], [16, 69], [6, 70], [71, 154], [104, 177], [17, 86], [23, 71], [26, 92], [0, 57], [127, 178], [11, 69], [32, 110], [3, 74], [9, 58], [66, 130]]; loss = 0.030721 low_pass_filter = 0.300
+Epoch 0: | | 41239/? [6:30:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 41240; scene = ['f930287fcc142c41', 'ee8161c4cd89295e', '06badc5e41c058a3', '2978b48689efb5cf', '89aaed17be3e98f1', '35defcd6d8369e3a', '25d01adc0dba1ce1', 'ee68497fe72a28bd', '21dc12bbbe7810d8', '926981007a66053d', '3a362a67b9e12376', '114849750993031d', '3097fbf4e8e1cf6b', '1c7f730db5d85172', '5ad339434aeed850', 'd10b947d1bd37260']; context = [[33, 102], [2, 83], [1, 49], [7, 73], [11, 65], [136, 182], [17, 82], [41, 120], [102, 160], [141, 216], [6, 92], [0, 67], [90, 166], [25, 81], [2, 47], [132, 177]]; loss = 0.025300 low_pass_filter = 0.300
+Epoch 0: | | 41249/? [6:30:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 41250; scene = ['47cd9a752d3fb63f', 'ef4d99ddc59d78ac', '01c9d8d300256658', '35c5fc80e85db7cd', '99f1c2a83be00a5d', 'b9912ec3e98862aa', 'b039526008c39a0a', '557c338b898f9326', 'fb6630f991c6d324', '1f07cb2b848165e1', 'eb2f7073cf409991', '31546243e7d33be6', '5c97b500db0da80d', '6c2ee57b58acd9e5', 'a2ecaa8119e0206c', 'faed3d48ab5647f2']; context = [[7, 63], [1, 69], [49, 113], [46, 135], [5, 79], [106, 168], [2, 69], [19, 68], [5, 93], [72, 142], [5, 50], [23, 85], [14, 65], [2, 80], [121, 208], [16, 80]]; loss = 0.026682 low_pass_filter = 0.300
+Epoch 0: | | 41259/? [6:30:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 41260; scene = ['3815cba3f4385bc6', '2c4748f991f7d71b', 'c00ead6d6393cd09', '2cca4a4cbf45c0d0', 'a91d501f33a28dc7', '39c33991bfff3e83', 'c86d56f5ee32a61c', 'c4e0a84e7e269d3d', 'a29077306f6f735b', '08a75a450ebd71fe', '337dc31602bf2187', 'c11e45b1b76d8117', '87732cfa339b6202', 'f1a0ce57e7071dac', 'f689b1467bdd3aaa', 'd07aa4d1691ccf58']; context = [[10, 70], [4, 51], [6, 57], [86, 137], [6, 84], [151, 218], [74, 146], [55, 109], [72, 120], [33, 82], [19, 71], [4, 65], [18, 65], [7, 83], [24, 93], [74, 131]]; loss = 0.023821 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 41269/? [6:30:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 41270; scene = ['6260eadb16930830', 'a0d1f5bd499fd8bb', '68527c01923a3319', 'ed8ce926652c2eb1', '2f358c7261cee038', 'd061a7ec0d2fe858', '916ccb4d52fff634', '79f0ae0d31fd1d8b', 'b829816b67fcc39b', '8496ba446c5b6315', 'eb52fcf26d327e46', '23aeca1b7b3e453a', '9fddc14f5349e77a', '121a82c0523487a0', '1d2bf04b397af5cd', 'e2406c6d5ca2a6d4']; context = [[73, 153], [141, 197], [3, 73], [16, 93], [3, 59], [2, 72], [22, 97], [5, 66], [82, 143], [119, 179], [64, 109], [15, 94], [3, 60], [9, 58], [11, 87], [21, 100]]; loss = 0.027741 low_pass_filter = 0.300
+Epoch 0: | | 41279/? [6:30:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 41280; scene = ['1757f8643bdf6f4c', '0eab3863193dd421', '869e0400a977198a', '829871f6aac182dc', 'f2bdcbd474fb6eaa', '3ce190b5df7d8af7', '0fe21abff5401005', '4f4da706cafe1656', '9430c9da009b1ee5', '91047c3d98f1ad63', '78ee44257f9539ef', 'b328b672fa646e84', '721994e114f4ec69', 'd1df92cb4831bf68', '285ea7b514670328', '7572cf78733b5e04']; context = [[22, 86], [14, 79], [6, 64], [5, 69], [159, 218], [39, 96], [7, 87], [21, 69], [6, 86], [11, 100], [9, 90], [6, 80], [57, 112], [5, 61], [90, 177], [105, 183]]; loss = 0.025691 low_pass_filter = 0.300
+Epoch 0: | | 41289/? [6:30:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 41290; scene = ['15d50c35ce2414d1', '8b8086cefabc3f63', '4d2198d0421457a3', 'dd766ad08fec83c3', '164cc8f264b0aa63', 'cd05e2ed965d6f9a', '514b4062ea2f6e76', '0cc64f7ea809ec72', 'b58c4b0df22ba910', '6b0ed48978a7de83', '981c7e381f2dc97e', '11a226b8c7759283', '87194474b33de348', 'c54a11071ab70c90', 'd54b539de59183e7', '74b28af6d0cbe407']; context = [[3, 48], [66, 121], [31, 100], [37, 101], [6, 64], [0, 68], [4, 66], [9, 86], [11, 100], [188, 263], [0, 52], [3, 51], [93, 180], [11, 79], [1, 86], [6, 58]]; loss = 0.025648 low_pass_filter = 0.300
+Epoch 0: | | 41299/? [6:30:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 41300; scene = ['658d1d5153bc693a', '02f2bced7693a878', 'd23158e41df25c32', 'a308376472392fc6', 'b0b54e44bbbb3aaa', 'b8e91cbe57d886af', '5bf1d42524c02fb8', 'b41d3898f57085e3', 'ce4fa27b4ee5955b', 'f2814d17062330d1', 'e7b0248022eae778', '011fbca4c333495f', 'fd796259bef6cab0', 'c38816ffe6b2c633', '1182579e7ca4ef88', '2598b88b7b7d2119']; context = [[25, 98], [10, 87], [6, 66], [8, 59], [7, 81], [46, 113], [37, 83], [16, 98], [11, 72], [9, 70], [6, 70], [12, 91], [33, 116], [105, 160], [0, 89], [34, 86]]; loss = 0.023474 low_pass_filter = 0.300
+Epoch 0: | | 41309/? [6:31:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 41310; scene = ['c84ce7b291806055', '95390743755ea23c', '4e145d26377a414b', '1a9b4d12c5b517a5', 'c2311a649b12cea9', 'b33803d3409e57d9', '2a816c674416d597', 'f15bac67b7a07933', '9dce78c1dcd85327', '87e78ff298b1cd97', 'f41c119ea504e8a8', '11f3ee09a95c385b', '4edda19fc6bf05e6', '82f1bd7b1a3a035e', '80306408b8d371fc', 'a78b0452a2d05f18']; context = [[11, 60], [31, 103], [0, 64], [3, 48], [2, 73], [2, 47], [43, 122], [15, 61], [91, 165], [1, 48], [0, 74], [2, 70], [9, 89], [27, 84], [37, 92], [51, 122]]; loss = 0.026361 low_pass_filter = 0.300
+Epoch 0: | | 41319/? [6:31:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41320; scene = ['305930c2ac2205b3', 'a11a4c848afc6292', '8d6d9857a57baee3', 'ce4f7bf72c8a56df', '0f269fbd2e54d5c0', 'd89ffa569fafc6a8', '13fe686f8a130588', '50cb9194a0e25204', '23eb4910c21eba22', '8dd05db385680029', 'aaacce7a4a7c9725', '8104d6d4a5691896', 'c1cad432e5ba058e', 'aec50869232a56c7', '8afc54cb1788893a', '1e0cc9086e954fef']; context = [[29, 107], [5, 84], [24, 77], [66, 130], [0, 57], [31, 79], [121, 205], [23, 73], [8, 56], [1, 85], [82, 167], [0, 45], [87, 164], [7, 54], [0, 80], [36, 116]]; loss = 0.027277 low_pass_filter = 0.300
+Epoch 0: | | 41329/? [6:31:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 41330; scene = ['8488fa43d3af93b3', '3801fa932c2b4338', '9dfab02a0ff14bb9', '496d1c59633bb143', '99035b0c28d05e25', '2e5ff8faebe9c6d7', '0d7fdf79a21de6c3', '3828012e4927ce86', '3150b1c3a91a4e9e', 'f3ade6c63bc7d4ae', '2a6aa6af5a3d4820', '30f056ed33384864', 'bfecf32dfd0f8b4d', '07716160a0a7492e', '68e84ca4087cb4ab', 'fc7a37ff14ef384e']; context = [[31, 88], [20, 94], [6, 91], [1, 67], [63, 127], [2, 69], [9, 85], [36, 97], [17, 91], [42, 115], [150, 208], [3, 51], [73, 145], [12, 74], [84, 131], [2, 48]]; loss = 0.021854 low_pass_filter = 0.300
+Epoch 0: | | 41339/? [6:31:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 41340; scene = ['cda626276cad4421', 'b55e562a2c369bf4', 'd13cf5e43c7c2e79', 'b721c9a209ca3a3e', '28eca1887bb0e308', '2cdf31619207c526', '83e59bd234f5cd90', 'd2ec0415685d53ad', 'ce2b53a1dd284f8c', '5b3b305c509f38a8', '89e0f663d12644c1', '3f2e3a1c53cc15c7', 'e7eb6b35cecfc121', '8c55dc484a5b5f15', '24fe46ba16e8a785', '2f859d6d5a18a6af']; context = [[66, 145], [67, 120], [22, 69], [2, 63], [8, 90], [2, 74], [8, 57], [0, 53], [37, 100], [5, 83], [3, 57], [39, 89], [36, 83], [9, 80], [18, 83], [75, 146]]; loss = 0.023675 low_pass_filter = 0.300
+Epoch 0: | | 41349/? [6:31:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 41350; scene = ['8fe2890aa478023a', 'ab6cd47b1ae67af4', '91e232e32bf4ec84', '5e79dae0930185cc', '69cef2ebaeeadb88', 'da66acbc07d17fee', 'bafb2f1de71db4b4', '5142a42cf28c0572', '4935c05a11512f3f', '577a3ab7c92be031', 'beb54e5f88f4b3b7', '4c86a1bf572ecad0', '0f10a52a677be72a', '9bc3b095952b669a', 'd6f6f9a2f1fa321a', 'f43b8704b2b7f744']; context = [[50, 120], [1, 62], [19, 98], [24, 82], [27, 88], [1, 67], [25, 94], [193, 238], [42, 114], [51, 138], [25, 80], [160, 246], [44, 107], [0, 62], [5, 57], [9, 75]]; loss = 0.021652 low_pass_filter = 0.300
+Epoch 0: | | 41359/? [6:31:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 41360; scene = ['652d6e93f1197250', 'f8d2e1da9fab8c3e', '4738c550464831a2', '4d8fc16aa60bba1f', 'b2d49c84a61c4983', '25a02e81213b023f', 'b40f4f82b98255d4', '6610d80f8edf23ee', '4ada344aeea4b8ad', '08ec78054feb5353', 'cec46046c053260d', '7c2a0ab3523a9304', '4a8613ae55449952', 'b6dc9bf5efafc2c9', '0197f9c76ffe37f4', 'dc4f99e729cb8640']; context = [[20, 85], [8, 94], [37, 127], [167, 227], [84, 156], [46, 126], [3, 58], [108, 185], [0, 73], [12, 82], [0, 53], [158, 220], [58, 130], [1, 76], [6, 71], [14, 102]]; loss = 0.025099 low_pass_filter = 0.300
+Epoch 0: | | 41369/? [6:31:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41370; scene = ['42474d2341a3c55f', '4a7db356a3dc0803', 'd97362a1ef47bca6', '768c7eeb58db7cea', 'e40b1d559ccedb4d', 'dc0cac2190275855', '11cd99e2cd274b62', 'adb394a7cad27fdc', '295bb11f848613c1', 'e8c465654329baa4', '73b0f5e4d3c173f6', 'c4bf2152a0e7adaf', 'f247f6af52790472', '58e8e6dad2fdcfbf', 'c03f0fd23901bbda', '56831578d232b718']; context = [[8, 61], [29, 80], [7, 84], [2, 58], [0, 52], [166, 256], [8, 72], [8, 98], [0, 45], [39, 96], [49, 132], [67, 143], [117, 171], [3, 55], [120, 190], [1, 46]]; loss = 0.025264 low_pass_filter = 0.300
+Epoch 0: | | 41379/? [6:31:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 41380; scene = ['24e1642761ed2ebb', 'b011fb585330edac', '3561258af910da67', 'afd52eb8f1650661', '256301b03aecd7d9', 'c3a4402cf7116541', 'c9a10949b21f67db', 'f200ab4d6709a626', 'cb8acf06bea4fa67', '13f706ce05d5746d', 'ed0f0f7c77d4a4c2', '4277d982646685fb', '1b8cf205ff599ca2', '6c4cb27d617151aa', '8624ee0839cb6e4c', '823a32785927191a']; context = [[0, 73], [35, 96], [0, 45], [3, 93], [86, 139], [59, 128], [0, 62], [0, 61], [9, 90], [44, 117], [33, 120], [116, 174], [1, 64], [21, 73], [2, 71], [17, 68]]; loss = 0.023923 low_pass_filter = 0.300
+Epoch 0: | | 41389/? [6:31:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 41390; scene = ['6f4af7195e3a97b7', '25e1057952554e53', '43866713556dd0ae', '72ddf898c94766dd', '515754f1d2815313', '2da1778385f8c639', 'cbcb2abdd4e34eb2', 'c276a84752d08110', 'da1d49941f6b109c', '99895aa9c099df4a', '3d66d2e5206fd59b', '90045f80b67d2818', '4613d1684d150a85', '5cb155f519907630', '77c68df6ffab9331', '85bac0ef26caa52c']; context = [[19, 92], [42, 87], [0, 72], [57, 132], [5, 76], [1, 91], [82, 139], [7, 71], [85, 140], [79, 132], [16, 70], [78, 139], [17, 106], [8, 92], [14, 86], [6, 61]]; loss = 0.024599 low_pass_filter = 0.300
+Epoch 0: | | 41399/? [6:31:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 41400; scene = ['b0dbf60f56f2a965', '771c41bed44766db', 'bae0c4a08568d412', '805bf33fcc837bbe', 'b19df5f2fd690927', 'e094ca6cc9b87c2f', '606358c338d38f6e', '9b23277971f37b17', '2666f4d45ee85413', '9e6b1fc2cb9e258e', '35cb6d1706d23123', '65704a3be6ef97b0', 'c150a69d763e0fd2', '9ef218fc0b3aec1d', 'f56d4aa7031f63d4', '78dff24134373857']; context = [[49, 118], [22, 70], [63, 124], [36, 117], [56, 111], [25, 104], [8, 88], [2, 83], [0, 58], [21, 96], [62, 131], [43, 127], [29, 115], [0, 45], [0, 53], [14, 73]]; loss = 0.026211 low_pass_filter = 0.300
+Epoch 0: | | 41409/? [6:31:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 41410; scene = ['d440a1d79e21c351', '16ca0782bf0e2517', 'f8b97071c3db77f7', '75a19417e9ba74aa', 'cca58498a1187b97', '470c10c89ebbe268', '3294d351159f7f8a', '884cb963a1fd3567', '400de93f07b31ef9', '521ab09b75f9f05c', '7e35fff1a63d375b', 'ccc911bfc1da5add', 'e13c05a47e3ccd91', '68a9071e174440c0', '3dca9c50e63b5ab2', '8bdbfd0298e5b696']; context = [[54, 122], [10, 84], [27, 87], [22, 79], [74, 124], [34, 95], [20, 107], [172, 254], [14, 102], [7, 79], [84, 167], [125, 176], [49, 105], [12, 89], [76, 147], [56, 108]]; loss = 0.034627 low_pass_filter = 0.300
+Epoch 0: | | 41419/? [6:32:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 41420; scene = ['41fffc6d9d335b3e', '669108f020ce9326', 'd0333dc4a7fe1439', '75c251fea8145421', '06678f70a4f95b2d', '956b787fa6250691', '69a74d6dff7e4ecb', '9332241d744fcc89', '709476c26a219c69', '1c782a6280f77698', '72da2d7f756b1fd0', 'c10d7356f8a3a3ab', '3e8a7a45047fc892', '2054cdda3bb0e2fa', 'ffae0c358d55ccd6', 'f62a962df5c26a1a']; context = [[6, 52], [18, 87], [42, 126], [109, 186], [26, 87], [0, 56], [131, 193], [56, 133], [9, 66], [5, 62], [26, 88], [36, 115], [11, 69], [57, 122], [11, 98], [1, 62]]; loss = 0.022768 low_pass_filter = 0.300
+Epoch 0: | | 41429/? [6:32:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41430; scene = ['38c2f919e61f375e', '10624fc8f33d3a0a', 'ed074cd40dc33596', 'e2128a609ff89c4b', '4ca6ed1cf7349efd', '100c4c3fa1794647', 'dfe78eb63cd652e9', '1c124b91c6ee92a5', '938865f6756c2301', '8ec27dc882d87cab', 'e79947f7de6aaec1', '5f1df53ecde43f53', '5cd4bb35d88b3270', 'c5cbc9e55a232810', '6633e46bac1e9dc7', 'a1541d6ccd3dab8e']; context = [[5, 80], [22, 75], [55, 112], [3, 84], [197, 248], [5, 87], [46, 91], [13, 101], [37, 93], [21, 111], [13, 100], [1, 68], [8, 54], [17, 73], [64, 113], [71, 121]]; loss = 0.023849 low_pass_filter = 0.300
+Epoch 0: | | 41439/? [6:32:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 41440; scene = ['f997c86bffde9ee6', '21e7ab7fe9d8753b', 'd344bf71d760ff5e', 'e41c98366fe40b7b', 'b203ae51167b67b9', 'c17f62a29673e92a', '36b7a7b6d4f3e005', 'e3cd7c908d02a227', 'c77436d9d154f154', '1dc1e640b33ca268', '5f8a197f2b75268d', '9ea0fdf572a31a45', '348a9219e5bc0afe', 'e6feeeadb3fb35fe', '0f33218ed2e3b539', '2d4b4dfacb4b212f']; context = [[4, 58], [88, 178], [6, 91], [47, 105], [32, 89], [19, 82], [14, 62], [6, 90], [21, 109], [49, 102], [3, 56], [0, 71], [175, 235], [131, 218], [4, 61], [13, 60]]; loss = 0.029215 low_pass_filter = 0.300
+Epoch 0: | | 41449/? [6:32:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 41450; scene = ['297b64e30f27b9d2', '0f62ec5c20682f71', 'dbac9841157230ce', '2b15c8704aaa87ba', '11e03af37641ef94', '9e51a99feef1e713', '05d1ee85e648c633', '99815fa8f92ad59f', 'c1b95c0f940b99ac', '4a879f4e55a90f54', 'c39a47d89d432835', '72c0fe33e5b64b8d', '4cc817cee906f5bb', 'cec1e3207cec9019', '78e1bf2436ff2f3f', '56a791622a84e3b9']; context = [[4, 57], [113, 165], [79, 138], [11, 84], [33, 108], [1, 65], [10, 64], [0, 59], [90, 155], [118, 203], [37, 108], [62, 112], [20, 71], [18, 73], [18, 69], [15, 68]]; loss = 0.023553 low_pass_filter = 0.300
+Epoch 0: | | 41459/? [6:32:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 41460; scene = ['351acba755ebeddb', '0f8c41f469cea050', 'aeb22e7070c7ebc7', 'ce4bbee3dd973953', '13aacaa9bfaff3f1', 'a410f6b0ac0ea757', 'f013b6c547a10306', '6d34d343b03f926d', 'bdc6b765ee1ee3e8', 'a481b79548f9abdc', '02fb6de8c497b963', '4ee6200f31e3134c', '8e20ab013d98087e', '69acf7fee12cf0c7', '0065a058603dfca4', 'a480e387201663b2']; context = [[21, 107], [13, 64], [0, 70], [25, 73], [8, 94], [28, 108], [82, 141], [7, 87], [72, 153], [124, 186], [58, 107], [22, 105], [48, 135], [28, 116], [59, 116], [61, 151]]; loss = 0.023164 low_pass_filter = 0.300
+Epoch 0: | | 41469/? [6:32:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 41470; scene = ['1ceb7b74d5713faf', 'acc6c20b665c730b', 'cc4f72cb5178bd1d', 'fbe2265ed5669a2a', '6d1f4a1862468141', '0a8e96b2e5945946', '90ae5b68ddc59938', 'd5cf929dba93e0ed', '06d407e4d8af8407', 'a6c74ca21a415525', '0e13f558c8ad2abc', '0a7c736b15471316', '557042b1936b8765', 'e714d73d9fd0a500', 'e782d3532e6907c2', 'ff3c5719e91ed7f2']; context = [[55, 128], [0, 69], [26, 96], [10, 61], [4, 94], [69, 120], [44, 121], [5, 81], [35, 82], [29, 87], [7, 65], [8, 68], [6, 55], [82, 147], [12, 82], [40, 120]]; loss = 0.028234 low_pass_filter = 0.300
+Epoch 0: | | 41479/? [6:32:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 41480; scene = ['19e2d9003bc31363', 'cadc22205296742c', '3eae4ba835287803', 'ae692b758265318d', '98a8828ad2bd1d1e', '7433c844136c5cbf', '74340c79b94eac7a', 'd42d236f6214408c', '6f25767608b175d7', '892ead239b640a7f', '1eb860b65c4c5afd', '3c9379a9dfe24984', 'eb8009c38058b998', 'c22159ade727838b', '9360fd7017cc421d', 'da5a989cb39c8210']; context = [[42, 105], [0, 60], [8, 80], [18, 64], [2, 57], [0, 87], [0, 47], [35, 118], [18, 101], [59, 138], [42, 120], [0, 52], [7, 65], [6, 94], [7, 76], [0, 81]]; loss = 0.021365 low_pass_filter = 0.300
+Epoch 0: | | 41489/? [6:32:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 41490; scene = ['97568a7f147a654f', 'f62a48672f8acac7', '632384f4c6834aea', '028c6f1113a68969', '8cacc3596b722653', '555f1845dcb38293', 'da794864ac5ff11d', '83d154863471b87c', 'f95facdccf8cb319', 'a2ec0615e2fb379c', '6f82fc8f2c6cf936', '769783c83e98144d', 'd24023f4b892279c', 'a06c5145c9419ec7', '746a2e815cddd8ab', '8acffd95fbf48c10']; context = [[4, 81], [49, 123], [184, 258], [6, 68], [31, 101], [0, 78], [19, 81], [195, 253], [173, 255], [34, 101], [12, 83], [4, 51], [2, 48], [84, 142], [112, 202], [216, 272]]; loss = 0.025017 low_pass_filter = 0.300
+Epoch 0: | | 41499/? [6:32:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 41500; scene = ['1b85a629e75682d6', 'd411e46a9975e95a', '999340d07b3c1f01', '67985c404f000727', '26cf73d2eb11939d', '0edfcb7e7578256b', 'b1d62a9da799a54b', '4068f00bd881cddd', 'f6066db31c658d1a', 'ddd2fd3db0b2197c', '9dd77e2add2f3ed4', '7d28350d7344ada2', '6186b4ba6e4b8000', '45103e44aefd4928', '7d47869067783405', '94c8f1c6ee33001c']; context = [[172, 238], [104, 174], [0, 45], [80, 133], [10, 56], [71, 137], [81, 168], [45, 128], [0, 63], [2, 80], [20, 69], [140, 216], [21, 106], [2, 51], [49, 115], [5, 77]]; loss = 0.028321 low_pass_filter = 0.300
+Epoch 0: | | 41509/? [6:32:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 41510; scene = ['498070d8ece368c7', '7f373c1d63fc0e8e', '0e04ac8477cdc1ba', 'e4554693e881d6be', '67cdb94d2911494e', '13e9968df59dd316', '7b6802baf4779efc', '13de7469e2069270', '268412437e9d4613', 'b30ffcaff8599d24', '5e1eb12727087b20', '2a91efabd709544b', '00c7f771cf92741a', 'bdff8b33200a0442', '70f118b2c78f945e', 'b9af4d213b624caa']; context = [[2, 55], [43, 103], [20, 79], [10, 56], [21, 74], [29, 106], [15, 60], [59, 124], [9, 62], [74, 164], [4, 84], [20, 81], [3, 74], [5, 78], [5, 61], [0, 71]]; loss = 0.031858 low_pass_filter = 0.300
+Epoch 0: | | 41519/? [6:32:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 41520; scene = ['165fb1e7a4e9671f', '37bc599a6783a226', '7f195cdf60bcba61', 'a9ad7c120b3bb219', 'bb5fc072bf444b2d', '9363a558aa68d23f', '6a42ea1890a306e5', 'ae6e7a7fb665429b', '8d5f9e6f3757efa0', 'a60c53777fe14111', '6e3486f534005c31', '976f694a50452c78', '25a58d36fa78c387', 'ed91bd6d1b927b76', 'ac4429b8b00bbd4e', 'ff5c14fe7d64c752']; context = [[1, 53], [16, 71], [5, 68], [60, 145], [46, 114], [3, 64], [48, 131], [9, 98], [0, 69], [12, 72], [131, 208], [4, 86], [3, 83], [18, 84], [65, 135], [82, 131]]; loss = 0.026692 low_pass_filter = 0.300
+Epoch 0: | | 41529/? [6:33:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41530; scene = ['a33114a79197c262', '761d3028a4027ec2', 'b58ad668ed5946a2', 'f8372a143e797098', 'e0444ad6a518bfae', 'af11d275959fa201', 'c2df7153b4663989', '6b86d3bf33fbaeff', '0e22c9b1805cb488', 'b08a9a8a1ae3465c', '218e8f36b7cf1179', '1e573707cecc70e1', '2191e4743d3e863d', 'a2aa09aac3869f4e', 'acf17336705da39a', '876a778fa507f286']; context = [[0, 66], [0, 54], [9, 68], [2, 87], [159, 206], [46, 124], [11, 83], [2, 49], [6, 71], [37, 85], [16, 65], [6, 53], [10, 70], [125, 174], [2, 51], [41, 123]]; loss = 0.022865 low_pass_filter = 0.300
+Epoch 0: | | 41539/? [6:33:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 41540; scene = ['e19e727ca26aa763', '5dc3bfb193417474', '6e246ece8fdd2a1c', 'aba8500bf55e59fa', '4ea37df2f9dfda32', 'bbeb5d738b8da0c1', 'e30553db7c558402', '1779cc65f3853e34', '024db652dd001772', 'f2685cf241827826', '254d6c6b8f9508d0', '5ecd4f2761d9877c', '6be67867ef006e73', '775726506dbf05b3', '0b13ca88611e6d29', '5e4c7d3038be2c01']; context = [[12, 100], [12, 57], [52, 98], [1, 70], [16, 66], [53, 116], [123, 206], [133, 201], [1, 53], [11, 66], [4, 55], [28, 77], [21, 107], [15, 60], [41, 88], [94, 178]]; loss = 0.040603 low_pass_filter = 0.300
+Epoch 0: | | 41549/? [6:33:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 41550; scene = ['3905d70e14fda600', '0919ccc8b33d5b77', '4c5a010abf0bd853', '9fea8e828b80af94', '8b1412223dba89db', 'a16d169ffb5bbf5f', '122403c4c6d5ba14', 'c4dd0b797b092d01', '816e80127f6e5599', '121fb6c566d5fc04', '2177800a0b750724', '6b7e4909924a2a46', '78d3fa13abfd11af', 'f5e28bbf33d46b67', 'e9b1b085ebc4f705', 'fe56991a6957c763']; context = [[118, 183], [19, 95], [20, 68], [11, 63], [180, 267], [7, 55], [9, 96], [0, 63], [12, 88], [1, 52], [53, 125], [2, 47], [0, 46], [1, 49], [20, 108], [2, 85]]; loss = 0.029012 low_pass_filter = 0.300
+Epoch 0: | | 41559/? [6:33:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 41560; scene = ['7ca70ebea20f9f0d', '9b7da6330793c183', '2c7204eaa40a2ee4', '4b7052ebde7c2201', '8744d594a6b6f3d1', '0a013a7ad5bdecd7', 'e24e7b04d40e5d7d', 'da7bb9815103472a', '7221fcf1835169d4', 'dabbe275dfe69077', 'e86b5e9968a1c865', 'c33a280526f9580f', '9b2bbbd898650e79', '0d6742154bb1640d', '023a009030046924', '328869e247a9c83f']; context = [[77, 138], [16, 64], [39, 93], [67, 122], [45, 100], [5, 54], [4, 56], [126, 185], [11, 70], [3, 48], [14, 62], [1, 46], [10, 94], [20, 89], [11, 94], [1, 61]]; loss = 0.029434 low_pass_filter = 0.300
+Epoch 0: | | 41569/? [6:33:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 41570; scene = ['fa37e761f75ecafb', '50d4b94e765284c2', 'cc155e5c5b49b6f8', 'c9e4480bbfb4e0db', 'a079d54e5e92105e', 'ced2fa332f79e8d7', 'a0bb4a665ee9fd46', '3c6f08385f14dcef', '1ff9ce1364d2efb1', '863150365b96d490', 'b567b028a8f5866a', 'a9a48de4023eeb04', '43b7abf89a494856', '4d60cb7b128ae762', '6cb8cad45aa47eeb', '5c2d38cc35d303ff']; context = [[4, 56], [0, 45], [17, 91], [110, 169], [15, 82], [109, 188], [10, 67], [94, 143], [3, 72], [5, 78], [5, 72], [24, 86], [119, 195], [121, 207], [17, 89], [116, 184]]; loss = 0.024638 low_pass_filter = 0.300
+Epoch 0: | | 41579/? [6:33:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 41580; scene = ['3a06c662b556f35d', 'c9195c7cc27ff346', '0b389c4a73899369', '3f7ce97ea5dc6230', 'bd29dcaa29c13ad4', '52ab66762e9d180c', '7cac77b4583a1767', '9acd902cc71984cf', 'd048fa6c7b0feb24', '83a7fed1431bcc34', 'ce83cc650b802021', 'f33b562e80c8da20', '2209341e8bd65dc2', '4ad89ebda1a41a62', '90af47b784746da8', 'f6b63e20382a6052']; context = [[22, 74], [72, 138], [87, 155], [9, 81], [54, 114], [3, 58], [3, 48], [158, 238], [65, 153], [70, 136], [35, 116], [6, 74], [63, 114], [9, 87], [23, 93], [197, 255]]; loss = 0.032324 low_pass_filter = 0.300
+Epoch 0: | | 41589/? [6:33:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 41590; scene = ['c2ac8ef4459af817', 'ff47d0c7e81c3943', 'c16696d55dc929b2', 'de54aba01955af97', '73a5af87f854aa5d', '6e16f2a6fd80bce9', '1ef0cba4ecae4ed7', '5c0a8d4d61b56c5d', '48444b439f95a35a', '3acd2a0d166e55fd', 'c6cea245140c3f81', '11ce93a3b415329e', 'a6f85aca012d064e', '6e3783660c06d66a', 'e9dff02bf0ea5022', '88f14a6ebd352597']; context = [[6, 92], [174, 240], [5, 86], [70, 151], [8, 56], [1, 79], [11, 97], [11, 83], [34, 92], [137, 208], [7, 67], [7, 76], [24, 78], [9, 88], [7, 87], [27, 80]]; loss = 0.027406 low_pass_filter = 0.300
+Epoch 0: | | 41599/? [6:33:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 41600; scene = ['0768f21ad0630461', '655bcaf421fdc40f', 'd4bd95f0a398f630', '5a4a1a47759a6c0b', '2efc3baf2ea0c6ed', '8856d6c682a40bf8', '1a7a454827491346', '9b45d2ca1091393d', '980bb6a8e697363c', '4e442aff3cae4436', '31f3c422b937347a', 'ad56e3e83cfd72d6', 'cbf2a6a5dea2e360', 'e2202f60a31710bc', 'adf7133ba050a0e5', 'c7551c5c12d6c8aa']; context = [[2, 48], [0, 54], [13, 79], [4, 59], [9, 61], [3, 64], [26, 88], [38, 112], [1, 50], [45, 131], [2, 91], [39, 126], [3, 52], [88, 144], [23, 99], [83, 160]]; loss = 0.026406 low_pass_filter = 0.300
+Epoch 0: | | 41609/? [6:33:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 41610; scene = ['ec0b422b890cfdb8', 'd6277b107e1ac96d', 'fbcc4a789de56b4b', '3f4426d573dcbd83', '2d3f2fbfe31fe9d6', '04a108af10dbbaf2', '81f56e1f6d64e4f6', 'b2890a9df7df5d67', 'e64efca5f4c656f1', 'b175f82961daad12', '40ce3c51bcf5939e', '7534cb5edec5f0a5', '821c639455378f86', 'a47515dac8f66d3e', 'f22fc2b3c9f19013', 'b81f8affbd4806c4']; context = [[26, 73], [33, 104], [4, 73], [12, 84], [22, 95], [112, 198], [11, 84], [18, 106], [116, 174], [4, 66], [28, 79], [1, 68], [6, 62], [79, 158], [11, 61], [25, 87]]; loss = 0.026416 low_pass_filter = 0.300
+Epoch 0: | | 41619/? [6:33:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 41620; scene = ['9a5a417c708dcd2d', '65f21b4e27c1e26c', '09e14846fbca0bde', '81637509e07d2f70', '46bc953615be05fb', '08db89a1f93cb339', '219cf573d508d23d', '3d896caec571f0c5', '4774ac3c0d87204a', 'd7147c4bf4c85bfe', '5dab5955ca910d26', 'f2a043c2bf7dd45e', '5705a9af99505ea3', 'f7dc4697cd71b0ab', '9d5a8743f862007b', 'fc6479bd5c3fe413']; context = [[19, 93], [5, 75], [2, 58], [135, 185], [98, 177], [156, 233], [24, 86], [5, 93], [95, 174], [37, 100], [0, 76], [12, 80], [139, 202], [16, 72], [0, 54], [139, 209]]; loss = 0.072785 low_pass_filter = 0.300
+Epoch 0: | | 41629/? [6:34:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 41630; scene = ['39bed9009ce3e290', '3ead2b6b98af435f', '1302e9119a1cfa72', 'fe341ea0810284ca', 'e456788b15fc11a7', '6ddba7bd6da995eb', '99b3595c01c7df52', 'f2dbde166e73e4a4', 'ce33781f591030bb', '98ef8ce391512445', '85757ed461659176', 'b5abe7e54f298547', '7d246d2b4aa0ef24', 'e6c39898a4c1f088', 'ac0ea7b9f04b7df1', 'd2ac65551cdebc9f']; context = [[73, 138], [75, 143], [0, 83], [27, 89], [60, 110], [20, 89], [122, 193], [26, 73], [0, 49], [62, 139], [40, 111], [57, 111], [19, 85], [2, 72], [30, 82], [12, 85]]; loss = 0.141136 low_pass_filter = 0.300
+Epoch 0: | | 41639/? [6:34:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 41640; scene = ['9d3f195e8d854334', '4102c95a9026d0ee', '6f314baef40789e0', '5b6ffc1737e0b9d1', '1b40e8f1f25b0e73', '732acd98ac4197e6', '55bbd93d2b19cf59', '49fc667ff679205c', 'cfc5f9298ced6d9c', '8f669ff171c957d2', '5f07e3aa7ddc5cfe', 'a350884f04cfd279', '5cc61e57a10f59c0', '807b61d9c72e3a6b', '3719de4d5af2ad59', '46be760afd3f468d']; context = [[13, 74], [1, 76], [51, 99], [37, 86], [13, 69], [12, 94], [73, 140], [2, 64], [5, 72], [18, 67], [84, 158], [10, 65], [72, 158], [42, 122], [3, 65], [1, 52]]; loss = 0.026985 low_pass_filter = 0.300
+Epoch 0: | | 41649/? [6:34:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 41650; scene = ['91188f3f75824ae6', '5b24cc641fd8e56a', '970d8b8f32b657c7', '32a01427f04b7038', '08795007f7dbe014', '7623ff6b4eaf4cbd', 'bf7e6ccd727d101e', 'eb91912e63633cdc', '8f3e0781466f9752', 'a50ad9f471067a18', '1450f9c17a54d723', '613b15bcf32abe86', 'a43792bfc6bcf95b', '274f6397d8da559d', '0a7d39becb0a9771', '42041e0a1d0a2be3']; context = [[44, 110], [34, 117], [6, 60], [49, 109], [129, 203], [11, 79], [24, 69], [43, 99], [31, 76], [112, 186], [7, 86], [23, 113], [31, 105], [66, 134], [22, 94], [0, 45]]; loss = 0.028096 low_pass_filter = 0.300
+Epoch 0: | | 41659/? [6:34:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 41660; scene = ['fbffb9c21146ae12', 'ef8abc1b989a812c', 'b4bfd76a9c071c79', 'f13084d6692c6510', 'fb4d48424bf2f030', 'eeb5c563af1bd027', 'f91b5035c92ed587', '8fc141c868e7d6f3', '0505defd59ecbdb2', 'fa2b6fa80b99125d', 'e2b2ec19777a57b1', 'a17833025aa5db5d', 'f06d8f7b16e9873c', '9f1176b8b75fa7c7', '5cf42e59740b8d9b', '5682c35475096f09']; context = [[39, 120], [15, 90], [72, 152], [196, 250], [3, 76], [28, 109], [19, 107], [6, 64], [224, 277], [3, 57], [20, 68], [0, 63], [151, 213], [15, 71], [155, 204], [6, 76]]; loss = 0.022811 low_pass_filter = 0.300
+Epoch 0: | | 41669/? [6:34:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 41670; scene = ['e3671828d14a9106', 'abd07a71f19759aa', 'dfe8c32f21d4e1ab', 'ffe2fb4a8427467b', '97e9ea755077ac70', 'f1be0daea4462dd6', 'b0b927381cfb029b', '1f933c21bbd26682', '1176e233bfb25a61', '61b60c1a300d909c', '3d3c86d6e062354a', '18e1ee537cb4b0c0', '5a59e99413560926', 'e0d9b82ec72e258f', 'bf0d03380474d38a', 'cee7db39524bd776']; context = [[6, 82], [8, 76], [12, 99], [126, 211], [1, 80], [3, 73], [82, 127], [39, 92], [10, 74], [8, 57], [11, 78], [88, 168], [7, 89], [14, 100], [5, 92], [0, 58]]; loss = 0.030964 low_pass_filter = 0.300
+Epoch 0: | | 41679/? [6:34:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 41680; scene = ['bef8ddf164b8c48c', 'f317f9ce9a6abd39', 'c91b2a4cab7956e6', '0525d757d0bbed8f', 'daf1b72247607b04', 'a110555f597cd182', 'b3270974687b5968', '7572e19e7464340a', 'daa7f78ff49a91e7', 'e033e0d7c1dbc70f', 'b5228b26c99db999', '4fc0da76742961cd', '7d4f88d897aac9e1', '629506e3f6b8d7ab', 'ba7ccf57b2511a90', '692c8f1a1ba8d95a']; context = [[17, 86], [12, 70], [9, 66], [185, 247], [3, 58], [9, 75], [69, 118], [10, 69], [3, 71], [9, 77], [6, 53], [7, 72], [7, 64], [12, 86], [3, 63], [23, 84]]; loss = 0.022601 low_pass_filter = 0.300
+Epoch 0: | | 41689/? [6:34:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 41690; scene = ['36aade8d48bfd9a3', '74e0443fbbce9f58', '715b259ea9988c79', '9d0293f0ed846ad1', 'bf7db154feb5eb9f', '390557ef1032ca38', '3ecaaa549fe1e67c', 'fdd0d5347351be50', '2f1e27162ff516ec', '118e9c23dfbb31c3', '383a3d9cefe3e1f9', '8c62e67fd9990797', 'fbcefd09c3df466a', 'cf6d9f65c85e1a74', '351edb4a62ab2e6b', 'c8dcf2f744fc157d']; context = [[42, 92], [100, 171], [50, 98], [5, 85], [0, 56], [0, 53], [4, 59], [0, 78], [23, 102], [3, 88], [5, 66], [32, 94], [34, 98], [9, 69], [26, 84], [16, 88]]; loss = 0.024192 low_pass_filter = 0.300
+Epoch 0: | | 41699/? [6:34:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 41700; scene = ['b879c79a9c46e9c2', '2b63dc474251e9fd', '773672fa68feb0e5', '40f0adf015542ac4', '9e1d6f2502c05044', '9078703d92dc9e6e', '64b638b1acb1c95b', 'a5f7d3b8bbecabc1', '66423787a1b22e65', '72eb2027396a78a5', '2d6bd788c7a9e7b9', '4aec5927198a97da', 'e910143115e8ed0a', '25e9ed466c1826e3', 'cfd49a8723e2f1eb', 'bffd28466912a768']; context = [[11, 60], [2, 53], [2, 61], [0, 50], [0, 83], [8, 65], [75, 161], [12, 90], [7, 58], [0, 62], [38, 99], [45, 91], [5, 71], [41, 103], [166, 252], [3, 69]]; loss = 0.022132 low_pass_filter = 0.300
+Epoch 0: | | 41709/? [6:34:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41710; scene = ['47f0dfb0693f6c43', '0dafe350e2f5aa02', '1c40367f8f64b13b', '43c7b433a726321b', '3757462619d15dec', 'e2e07c398e470614', 'f0e9e439d773ffe0', '06efe0146b2e5aa2', '2034845e359abfe6', '1d73a12a3a006b03', '703d8f552e7332bb', 'd6bd2d707ffadb41', '94c8f1c6ee33001c', '3d4952a1e8289a7f', 'ddc351e8ca2cd299', '6b503257ae05df64']; context = [[10, 66], [0, 68], [22, 103], [61, 149], [10, 69], [82, 135], [2, 53], [2, 52], [9, 70], [26, 107], [6, 52], [17, 94], [3, 81], [0, 61], [162, 210], [211, 267]]; loss = 0.024237 low_pass_filter = 0.300
+Epoch 0: | | 41719/? [6:34:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 41720; scene = ['238fee095f631e6a', '3256408a8d621dbe', 'c0d2d4f9c82235f5', 'b10eedbf6e248612', '2ebb9a89cfd43e8c', '7fe28874e9a523e7', '64508af4bf3b2c10', '22248456bae063ae', '088f04409263c55e', '921504f59fb80a42', '4aca0b9f5148e064', 'fe11db7072e7666e', '16f49e5091804328', '65fa0a94fbe48038', '896959276e244303', '0d1436b89f8de224']; context = [[9, 57], [75, 157], [6, 68], [120, 178], [3, 83], [0, 66], [2, 58], [87, 158], [8, 75], [0, 67], [4, 93], [37, 86], [19, 79], [8, 78], [35, 109], [52, 137]]; loss = 0.022456 low_pass_filter = 0.300
+Epoch 0: | | 41729/? [6:34:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41730; scene = ['e3004ab618aa0b49', 'ac5dbf1f0fb8aac3', '1dc2b147a439848d', 'acf3fd0109a040b1', '6b4e967ca81ba41a', '728091edce9e3d54', '2e7b824b08d94fee', 'a637b8400669672c', '7b78a2113b0b67e0', '67693f88a026e955', '1319170a73cb514d', '791c6386a4340932', 'bedba1846d7b3f88', 'fa42604243a1cf5c', '6d727b8f5862a634', '7afefd271f2ff47d']; context = [[171, 239], [27, 97], [10, 97], [98, 146], [7, 76], [14, 104], [5, 78], [3, 66], [84, 160], [34, 119], [21, 86], [5, 70], [1, 63], [117, 186], [189, 234], [177, 257]]; loss = 0.029213 low_pass_filter = 0.300
+Epoch 0: | | 41739/? [6:35:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 41740; scene = ['840e6842fb5ba732', '16786b3b82992a6d', 'c5e2876b5e0e7265', '78d0ce3944e20e13', '8af8b514228fc5b1', 'd3e9e885f06cf2d7', 'eb76111359290980', '2f7d9c645f6cc733', '3fbed29020ac94d0', 'cc876c5d33ba1022', 'c31f12f994a9e2eb', '09d2dd751382079e', '45f8df6c049de373', '785a1e5ffc9dd226', 'a60d33091f7952fa', '93dde83dcd181a23']; context = [[46, 126], [108, 166], [19, 64], [1, 63], [1, 54], [35, 98], [10, 68], [5, 61], [112, 180], [61, 143], [159, 224], [188, 272], [133, 214], [14, 97], [46, 102], [130, 208]]; loss = 0.023815 low_pass_filter = 0.300
+Epoch 0: | | 41749/? [6:35:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 41750; scene = ['d00468d657637e58', 'de24e08882c2f2a1', '7af3ae39bafa42ca', 'fdea8b88ee5b83c0', '20e52dd69adce3bd', '02dfa1c2784f08eb', '7c25281ed9129369', 'a8618ce38df99d23', '7c03b5dcd8d67884', '927c1d583687a4a0', 'f86cf6a67566bbee', 'f0c1455efb8d4272', 'd196dc894157ca53', '83689b78310fab98', '51906f14ac9f95c4', '1b05efe10364c018']; context = [[66, 144], [43, 91], [27, 75], [21, 92], [5, 94], [86, 141], [113, 162], [30, 98], [98, 168], [5, 68], [1, 76], [5, 55], [130, 199], [18, 68], [27, 99], [19, 97]]; loss = 0.023394 low_pass_filter = 0.300
+Epoch 0: | | 41759/? [6:35:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 41760; scene = ['383cda64aae1e7c7', '7875d0b2da7d7a97', '5c957213aeb7280b', 'fd640c79a50c4d1e', '02521dcbad8779b9', '3a507b30935f9795', '73dd2ea04c16a665', '951ecec828d760fd', '086f30fec439adb1', '7a25ada1841b7ff6', 'e1475887269ba0a3', 'c05d8cf8670ab48c', '693d722638a2224d', 'e05502c85ae82e42', '13340b4c0df80e3f', 'a0718ebce433c95f']; context = [[7, 67], [14, 73], [49, 104], [78, 165], [24, 102], [0, 55], [169, 226], [32, 107], [37, 87], [80, 166], [45, 135], [52, 133], [106, 192], [4, 82], [66, 124], [26, 99]]; loss = 0.029437 low_pass_filter = 0.300
+Epoch 0: | | 41769/? [6:35:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 41770; scene = ['5516acbfaeb3c455', 'ff909d460f2ea5a3', 'bbdfd0941d4d279d', 'ed02f848dd02d61f', '4c73cbddc8726967', '180cd3034985cc24', '6185798eba1315d0', 'ad91b5890f8cd86f', '1a81dd5de456f254', '38c7cf7a3199eb56', '6ddbbeea20a3c44a', 'ec5a3410978f01c4', '50211eea27108ca0', 'ca3a044d9a37a544', '332a9eab3d114cf3', '67b643183e3b0239']; context = [[0, 61], [0, 45], [64, 111], [3, 89], [9, 91], [112, 180], [4, 76], [5, 86], [36, 94], [0, 68], [2, 62], [19, 66], [8, 90], [20, 65], [24, 79], [6, 63]]; loss = 0.024072 low_pass_filter = 0.300
+Epoch 0: | | 41779/? [6:35:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 41780; scene = ['d323823a3d8dc076', '52079a38d11843c2', '5e6e341001a8b693', 'c16752b5a01dec29', '3647ff5e90d6af43', '95a6fae4dbeb6546', 'b192a5f7772b70ec', 'f4f0f0d4a554cfee', '3e29b2bd42f47e28', 'bb8a1e105ddf619e', 'c8a3e26221c01162', '264e8509690b1ea2', '4fe25eb6dbfcf1a7', 'b0e181819c37efb1', '93daf4ce55a5d530', '93db697953cb8fbe']; context = [[30, 88], [13, 63], [78, 159], [4, 64], [16, 66], [8, 75], [85, 159], [80, 125], [8, 86], [5, 84], [15, 88], [61, 115], [3, 48], [69, 148], [161, 241], [2, 58]]; loss = 0.021567 low_pass_filter = 0.300
+Epoch 0: | | 41789/? [6:35:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 41790; scene = ['aea600cf5857c796', 'eeeef9bad8464592', '57c4350a67896dd1', 'd28dd035c45d7b06', 'b495905da7f31147', '5cd1fe08f13f6f80', '8e57d349dfa0b363', '9cc01f35f0cdb657', '776ad930ec1526dd', '18f86d6eb42e88a6', 'bc6613d82b011711', 'b9bfa33e34db7e78', '9b15e63ce336fd2f', '7eea579e137fd98d', '4fe4767f08df092e', 'b2495a3179123562']; context = [[22, 110], [3, 63], [22, 110], [18, 85], [28, 113], [29, 95], [99, 156], [176, 253], [29, 78], [39, 105], [13, 99], [7, 62], [0, 49], [41, 108], [97, 149], [50, 116]]; loss = 0.052959 low_pass_filter = 0.300
+Epoch 0: | | 41799/? [6:35:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 41800; scene = ['5450eb5614d8af42', 'a33838d396af29c0', '27f34df7cc8863e4', 'c2bf5ee569ba3681', '0c2a75ad7d5b971d', 'd1c6899b6c6ef917', 'd450bfc8d4fd93fc', 'fb6364b47d824180', '67fcd56243f81f4f', 'dd5ed29765330d4f', 'ea30bf8a65e93961', '019bf9d48f4362ef', '707548393b4bc8a5', '001c43a59a9e0b16', 'a356dab14e5662de', 'f8c5ab198f074c5e']; context = [[22, 68], [119, 180], [92, 155], [6, 51], [40, 106], [88, 147], [1, 47], [150, 223], [69, 151], [36, 92], [7, 56], [18, 104], [1, 75], [3, 93], [29, 77], [209, 266]]; loss = 0.031963 low_pass_filter = 0.300
+Epoch 0: | | 41809/? [6:35:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 41810; scene = ['5dbcbba490ec1696', '008ec1473e4ce029', '5a009a925d1f7941', 'c31a1cb20a151f9f', '0b3a912a284f41db', '8e5b8134c3e523b7', '0f62fa07d5678c66', 'eb44011752cb1c5c', 'c244bbdea2dd8768', 'b3aed3d4024f2045', '7e3f87e5affd253f', '3d1834e1cb8a0a56', '5b4327f91da2fa34', '7e6aaad4b4178031', 'fac49f6dbe07e555', '1706922b35a131c1']; context = [[39, 98], [6, 74], [30, 113], [77, 140], [140, 192], [3, 54], [0, 45], [23, 99], [0, 51], [28, 85], [45, 103], [5, 64], [5, 75], [8, 55], [23, 68], [13, 76]]; loss = 0.022744 low_pass_filter = 0.300
+Epoch 0: | | 41819/? [6:35:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 41820; scene = ['9ed566141bd48703', 'b281033b87f3c95e', '2b9cbd635854b62e', '6587a582e70da65e', '57d04a4f8bc1955a', '1193dcc37cc6cee5', '9b8096088a613702', 'b63963a25fe3c953', '7ecf7d574c35ed13', 'a8486b8f4f762d05', '2589ba4f31031bd5', '062a71646932bce9', 'afbfa60fb5a82685', 'be03554d52030624', '522e486762dd40e3', 'd934a2c5369cd5ef']; context = [[10, 80], [25, 73], [17, 87], [10, 92], [6, 58], [149, 236], [11, 86], [11, 77], [147, 218], [30, 107], [99, 174], [14, 90], [161, 249], [36, 118], [22, 85], [11, 87]]; loss = 0.026506 low_pass_filter = 0.300
+Epoch 0: | | 41829/? [6:35:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 41830; scene = ['e81bb19585fda98b', '4dd89c9e62c601a2', '1b29bfcdb2b14d83', '5979f56b953ff1cc', '5258d714dbd81b7a', '5ab82d98941fd59a', '4d40dbdbce44d5dc', '8233b3467c6f4f08', '80cd321297e1960f', 'f7cbb66b48c9008e', '899a88c42d19562a', 'a13f3056e60c07a5', 'bc7f04a3ec906867', 'a16d30d362a5ff7f', '9c74a21848354b9c', '1ebe12e22110e0a7']; context = [[21, 103], [2, 65], [27, 86], [17, 82], [75, 123], [91, 150], [16, 64], [0, 79], [41, 96], [5, 59], [41, 98], [54, 115], [61, 149], [19, 99], [113, 190], [55, 103]]; loss = 0.023640 low_pass_filter = 0.300
+Epoch 0: | | 41839/? [6:35:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 41840; scene = ['62ec095954643db2', 'e4879d0469c9d6d8', 'd133cdd425701549', 'c0e52f2c57ba518c', '4aea074984e32122', 'da0b21470c9520b7', '6a60ef9a8856cf5b', 'be22dc5d40ca5c8a', 'f70ad20529046f41', 'c4ff645e87ef2f34', '8e3551e8558f93d1', 'f47a5658e4a6e838', '9e18ca2d9250f7af', '4e517dd80eb623d0', 'e393a5328114bf24', '4caeaf8d27b8dc35']; context = [[13, 63], [2, 83], [24, 90], [8, 90], [34, 122], [136, 212], [3, 74], [25, 114], [1, 58], [2, 56], [3, 50], [22, 87], [52, 142], [158, 229], [0, 76], [4, 55]]; loss = 0.024532 low_pass_filter = 0.300
+Epoch 0: | | 41849/? [6:36:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 41850; scene = ['2946089a31aa5810', '815fc179de449468', 'd6211fae193ad931', '7b2f71462829b280', 'd00a6449d44d9822', '75b546b0482c602d', 'effbcd5b21e5b087', '4d77ff1e09cd1158', '3094f248b96dfe8c', '87247e6e4d43fa1e', 'bdf8f6b850d6dd02', '7c116fe539ee7847', '0dabb3d90ac5a16b', '73b00d7478902cd3', '952d3623a4b9befb', 'a5c361c22b789275']; context = [[51, 124], [4, 61], [64, 132], [86, 167], [3, 74], [35, 115], [4, 56], [4, 66], [20, 107], [95, 156], [1, 49], [1, 64], [20, 73], [28, 90], [11, 99], [25, 74]]; loss = 0.028189 low_pass_filter = 0.300
+Epoch 0: | | 41859/? [6:36:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 41860; scene = ['ee9c93086f82a626', 'b75d90c65923526c', 'fedac3f5aef8fd81', 'b194d521d939fe38', 'e89204339a7669ef', '0d93e2b216166389', 'a017b0cb12cc18ab', '50194a15c7538e1d', '3148978637e8f426', '541ae18b8f936d11', 'd5384f379810516c', '4bdef6c0c3e06ae5', '9024684dd45d925a', 'c719ca7c3e40e8d7', '41124e4adc65cee2', '52aedd18a6e301e2']; context = [[17, 65], [49, 95], [30, 97], [25, 81], [0, 75], [14, 100], [4, 61], [28, 76], [21, 91], [177, 232], [153, 229], [41, 93], [102, 152], [89, 158], [3, 78], [199, 246]]; loss = 0.025987 low_pass_filter = 0.300
+Epoch 0: | | 41869/? [6:36:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 41870; scene = ['2a97804c2c08b819', '7addead467bf9cde', 'c9fd47052ffbb2e6', '8a992755a8cf4051', '529e2387fa3fb753', 'f2613c70aa00b729', '9d9920122fe5ad51', '34fd67ae7b64925d', '809588a559d93335', '81a145b9b7d64d8b', 'd382296fbffe5f30', 'b043aa52d4a7b0db', 'f2c878b47a10992e', 'c4036a6e53239654', '7869661322e8f6a8', '74c817ce28582a05']; context = [[29, 113], [21, 83], [186, 237], [147, 219], [8, 64], [4, 52], [0, 45], [1, 53], [15, 101], [47, 107], [5, 50], [37, 83], [4, 72], [5, 55], [53, 109], [95, 149]]; loss = 0.024853 low_pass_filter = 0.300
+Epoch 0: | | 41879/? [6:36:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 41880; scene = ['a61efdc5c2ede23f', 'c9a65a24a9332e68', '210b0b6d01486fd9', 'fb32daf720b64da7', '08f858b77d2bf0ee', '5da281712a5579ca', '177871dd0267fb4e', 'd4e6772023080da4', '5477cf3b49317bb5', 'fc64e2ea797f1c20', '7ae9ce6aa1211914', '0d3a88f1ab3f5717', 'd8a8dc110167ff23', '0c8d8a68736d158b', '9b5b0457cd0a1fde', 'f4291ee0521ae553']; context = [[22, 80], [4, 73], [20, 65], [36, 118], [52, 99], [7, 75], [29, 85], [38, 97], [23, 85], [82, 172], [19, 85], [35, 94], [7, 58], [4, 72], [19, 102], [74, 128]]; loss = 0.023511 low_pass_filter = 0.300
+Epoch 0: | | 41889/? [6:36:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 41890; scene = ['cce7b7b831f93fed', '02cea6edb1b588e6', '89ad475d12af1821', 'cd4599abebf9d60d', 'b3f292e781b77315', '30aee98670108feb', '4fcfd03c65294627', 'aad7773777457cae', '7840587b79766a50', '56453c8b912ad0f8', 'abfc80bb9eee93b2', 'e33d4bd8288fc69e', '064259812e015154', '4ba784982056b564', 'ab04798f9ddd9aa9', '4577f77084d75acb']; context = [[112, 169], [53, 103], [22, 106], [0, 74], [54, 116], [37, 84], [49, 122], [99, 176], [93, 151], [39, 98], [47, 122], [191, 270], [58, 112], [15, 80], [81, 143], [15, 62]]; loss = 0.025322 low_pass_filter = 0.300
+Epoch 0: | | 41899/? [6:36:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 41900; scene = ['85006a271b4719e6', '71e2ce34ffd78138', 'c94d0b4d3856cbb0', '3aa0becd9ab1c4d5', 'fc83f9be2ea52f05', 'a19501d44c98a67a', '7726a5726cfc80b0', '40b6a27a0f5c66fb', '90f08800a0e95efa', '0a042bed0ad1e401', 'f87609d5183676b7', '9cd2647d88c67314', '4b135b575c9c5ef5', 'd7154ee69ea14c61', 'a7b8522c8c3153c4', '5d68ede0f829a545']; context = [[38, 91], [5, 56], [43, 130], [43, 100], [16, 105], [65, 152], [43, 131], [143, 230], [19, 92], [3, 73], [0, 55], [58, 103], [2, 56], [10, 81], [216, 270], [14, 63]]; loss = 0.030374 low_pass_filter = 0.300
+Epoch 0: | | 41909/? [6:36:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 41910; scene = ['0a0271d981ead75b', '8a0a93588ccdfbd3', 'd3711836cd0fac50', '79590833b9df5558', '5064ce9e88bb3f39', '0300f87d2ff368b2', '060a90d9a3af1a5a', '218ad16a0a54cab4', '31ab8f79c82a3b17', '4e5972ddf51ddea0', '6f164beac14b54d6', 'c8539a201de22003', '6b69daf57ed94a08', '03e86c713a19368a', '5cb68a057d09b157', '65c1d7ee44b2a2a9']; context = [[163, 214], [113, 186], [2, 48], [1, 66], [29, 76], [8, 78], [52, 135], [28, 73], [10, 81], [18, 65], [33, 119], [42, 126], [147, 228], [32, 110], [17, 94], [0, 78]]; loss = 0.040322 low_pass_filter = 0.300
+Epoch 0: | | 41919/? [6:36:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 41920; scene = ['4d93b0a1d23b35e1', 'cf53d87ab9557801', '6bac9522dd9bf619', '345208e1ad0a1f4e', '0c2c68a63c6abd0f', 'e5ffa80180a77906', 'ad7c648e328fad19', '046d75590f2a2769', '33cce4b353540cb4', '5f6230d18c679782', '45de740754866f93', 'b733def1f2d6f475', '202a0b47ba9ae6e7', 'fe55cd1565d9cb79', '0223c85e8003b7e1', '9ceab0f597c2a4d9']; context = [[55, 135], [43, 118], [3, 72], [50, 110], [62, 137], [0, 85], [53, 105], [32, 99], [54, 129], [43, 130], [147, 207], [33, 82], [33, 100], [21, 83], [34, 90], [47, 99]]; loss = 0.029091 low_pass_filter = 0.300
+Epoch 0: | | 41929/? [6:36:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 41930; scene = ['f8691ed394b8914d', '3f5894a461b1c692', 'a77791451d3b6b29', '49352807c804e770', '03f2504123909705', '682ad474d6d76c69', '37bc704ab2d09963', '8f9b2fc1d42464eb', 'f61787a6705d3600', 'c38d6a55cd1b57e0', '3f7f202a7d0b61fd', '246ea07f84d23963', 'f7ce09fbe4576358', '10bbf86e1381ff4e', '43bf5c9853912e6d', '7fe9dbaa9948510b']; context = [[4, 86], [75, 127], [2, 50], [67, 141], [4, 60], [24, 94], [129, 188], [67, 143], [41, 93], [46, 112], [7, 84], [3, 82], [43, 100], [23, 110], [13, 85], [35, 90]]; loss = 0.025493 low_pass_filter = 0.300
+Epoch 0: | | 41939/? [6:36:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 41940; scene = ['3241185f253cbefe', 'c2cdb9a6527a06b8', '57175f0ed3caaab0', '3bbe67a40f903aa2', '7422ee93f21a3447', '666bc6592852466e', '4a63558a9d7092e3', '0cffc79651746ff3', '8a04484039596f79', 'fce8af770747f551', '35dceccf2eb0d701', '4b63a61085154ed4', 'd7ba9382e3c976d0', '9650042fbf74face', 'ce15ff0fb9c8d2ef', 'fe680481685483c7']; context = [[35, 111], [136, 216], [65, 133], [29, 81], [25, 92], [3, 70], [2, 74], [14, 61], [6, 69], [56, 104], [20, 67], [31, 114], [6, 73], [14, 66], [0, 59], [28, 108]]; loss = 0.032609 low_pass_filter = 0.300
+Epoch 0: | | 41949/? [6:37:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 41950; scene = ['e96e8eac70fd14c4', '23358c2cc3e7e8fa', '32f7b46d278e4954', '5542c47d00e5ad3f', 'f30398f000a252c0', 'a92ec569ae5c2a73', '5c1d013893a69fb1', 'a1fa4bf737381a53', '9662f49b6a764dfb', 'da1f9f2859b59142', 'e620345f5468d2e3', '633fa0194a012d8c', 'a1ff280651bb5e19', 'cb72c6bb904fde17', 'eecf7db21e587528', 'b351d2c9017e65cd']; context = [[19, 66], [33, 120], [8, 73], [138, 226], [5, 72], [3, 60], [71, 157], [49, 126], [11, 101], [19, 102], [128, 211], [2, 52], [10, 76], [65, 127], [30, 104], [6, 63]]; loss = 0.029099 low_pass_filter = 0.300
+Epoch 0: | | 41959/? [6:37:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 41960; scene = ['de2ea3a3d17f95b0', '59e7c3a5fcd5bf16', '1b6ebc703d3b9697', 'd8196f65063c42b6', 'e68309f89fff255d', 'c4359a079e27d441', 'bc2eca34027df8aa', '6dd4fb3dbef4c963', 'a5e62b760ec6ca2a', '279b987bfb5f8d3d', '51ee504c7ec5dc8f', '4465e0bba146a369', 'a981c29bc5c30f17', '7546a4733dd1d072', 'fe50b06ab180e0a3', '32374c6524a6cdd2']; context = [[12, 98], [102, 192], [11, 91], [88, 160], [19, 108], [7, 55], [122, 208], [204, 249], [43, 106], [43, 94], [20, 71], [55, 118], [84, 140], [16, 70], [8, 63], [42, 99]]; loss = 0.025120 low_pass_filter = 0.300
+Epoch 0: | | 41969/? [6:37:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 41970; scene = ['8cfa50d79d888b55', '55dc01f667d64238', '6ef0509816394c23', '470cf16643b7fd18', 'c4cbc6ecb8b6850d', '2cd1fefb3b7a4568', '5795e0053ee5cd8c', '1b94e9727e48d256', 'e0a8336e8a7caa1e', '190007167fa625a6', '30e0602692bddfba', '152ed7a6a53d7871', 'd0cbaa6c27440765', '4f73d609ce0ec6ac', '85d90a9057fac257', '637eadee47dd1ae4']; context = [[4, 62], [0, 55], [5, 68], [38, 96], [15, 77], [5, 94], [6, 67], [48, 137], [2, 65], [80, 165], [121, 193], [221, 276], [159, 217], [153, 221], [10, 58], [0, 59]]; loss = 0.027579 low_pass_filter = 0.300
+Epoch 0: | | 41979/? [6:37:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 41980; scene = ['68d8c862333a1684', '308ec88c1ad9b768', '2946d1671bef8129', 'f5bc5f1993328821', '1867fb38ce68ecab', 'c83978c89389d82b', '2edabae917f24f54', 'c07a2188f9ddd541', '446ffa4a463df3a8', '9eada17ee7b97b4d', '176779e7ff020fa5', '134c544ba5642a8e', '4bab68e5b5c00bdc', '68a98401f56099da', '205b571c771bd704', '7fe2186312264e91']; context = [[1, 64], [48, 127], [1, 72], [0, 87], [1, 50], [66, 119], [3, 53], [83, 157], [37, 114], [0, 58], [134, 219], [142, 195], [34, 109], [14, 73], [12, 57], [19, 71]]; loss = 0.025802 low_pass_filter = 0.300
+Epoch 0: | | 41989/? [6:37:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 41990; scene = ['711035157d2b01ef', '60cd503bf0841a1e', 'c18994e33b63facf', 'eff35c43b8e70965', 'a48d3cd38650838e', '4466cd75409a95d9', '5d16fefc4290a0b0', 'e69cdf6cf061bc98', '4a640e2c24d90419', '580bbe2141b9e6e2', '1ae6761f9dcf6728', '359705f603b8f42a', 'dec8847e03333be3', '4b148538b0785a5a', '188eb86b0baa1531', 'aa1fd4353ae6a597']; context = [[73, 136], [41, 109], [1, 73], [4, 94], [7, 85], [21, 81], [54, 99], [32, 83], [9, 68], [0, 50], [4, 65], [41, 105], [111, 181], [40, 107], [38, 97], [59, 139]]; loss = 0.032185 low_pass_filter = 0.300
+Epoch 0: | | 41999/? [6:37:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 42000; scene = ['f99052aa7f75d58b', '4001283461bac478', 'ee02795c2cab0d84', '77dfb192a7b7bb3e', 'bb3f4b8c39aa0f9f', '8f85d318571f0d5a', 'cdedebc7404b55c6', '3d857032268957c5', '3e81ba33406f43d3', '27df26fd660056ae', '8af19f867088ad89', 'f8d3ad05afe92b39', 'ffde5ed690a9fb48', 'e12e86bffa90859c', 'e364559c1d25e09d', 'dfdb88c1a5ca0d75']; context = [[154, 226], [14, 66], [132, 188], [3, 64], [8, 57], [1, 47], [23, 79], [48, 129], [12, 82], [12, 73], [33, 87], [0, 74], [80, 160], [5, 90], [35, 84], [145, 226]]; loss = 0.023982 low_pass_filter = 0.300
+Epoch 0: | | 42000/? [6:37:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000validation step 42000; scene = ['0d76da0fcac26af8']; context = [[68, 116]]
+Epoch 0: | | 42009/? [6:37:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 42010; scene = ['47608d00f89f6b00', '99d75f5941fcd59c', '7c1434aba45e0e87', 'a30cd3bcc7d000ff', '383986de290ee3a3', 'e6db09df52382c40', 'cc8c272b43efe48a', '77e9dd168055a3bd', '7d1a114ce4b4b2d4', '2a3934b5dc9568da', '70ccfb8827dba3f7', '0b59a8c5d245e625', 'a0563aca1f1d5e0d', '55507faf4f052e4c', '59131df6f80c65f3', '4a9cd2b03b28267b']; context = [[58, 143], [155, 241], [16, 68], [25, 101], [3, 81], [93, 175], [27, 83], [15, 76], [1, 66], [61, 120], [21, 107], [79, 130], [85, 169], [58, 147], [14, 89], [47, 96]]; loss = 0.030524 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 42019/? [6:37:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 42020; scene = ['f148e790bc04506f', 'c1549ae4f822eaac', '82c9062c870a1757', '25d7392ac5ae9066', '20045f4782cb52ba', '4245275cf50205b1', 'a77d977e67b50fa3', 'c09d4b4411cc1c53', '24fba0e6aa6af98f', '6dde8ea549b04a08', '82d29ba5b39e4324', 'cea2a93353c5eba2', 'da6552eaffe605cd', '93bcbc420d0cdeaa', 'c7fb40dbdfaf8c41', '625edf02592241ed']; context = [[0, 52], [22, 93], [0, 57], [0, 70], [53, 123], [0, 70], [0, 48], [156, 206], [35, 112], [0, 70], [20, 79], [39, 107], [2, 53], [78, 167], [22, 88], [50, 100]]; loss = 0.022315 low_pass_filter = 0.300
+Epoch 0: | | 42029/? [6:37:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 42030; scene = ['62ea424fe1922971', '29a09acebfb36b04', '78fab87a339cebcc', 'ebd875e3ddef5c12', '29d4c936815664ab', '85df3336ad90d5f3', '2df2d7c7a4f05e97', 'e60298a9c1439103', '8e1ad51b592ca929', '38147dfcaf667f6b', '952c38e1433be492', 'c660e0ba4f885ed8', '57a37f6c17fb53bb', 'e39800b46b0e5169', '3b492a7b903f8ae9', '60f32560e12841e0']; context = [[30, 86], [35, 117], [1, 84], [47, 117], [12, 102], [40, 108], [1, 65], [25, 93], [144, 226], [21, 107], [190, 248], [140, 199], [33, 106], [25, 81], [147, 198], [14, 92]]; loss = 0.026178 low_pass_filter = 0.300
+Epoch 0: | | 42039/? [6:37:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 42040; scene = ['0bb8a7807f7095fd', 'da79f380f911ed40', '3530096ad3087c6c', '7f3e02edcda13d89', '3b471fe1f614fbfd', '239d12ce68670c55', 'ba9ee0ed5353caad', '7fc78bf5706dbaf7', '99b90b759ac6e2c3', 'bcde14dd6d048776', '0948f1269f71c885', '75c097dde984d57f', '51a98d30bb4bf974', 'a93b9bf80d472ef5', '5dd26c5a45c5e40c', '1c713c10ecf5a0c9']; context = [[1, 47], [7, 80], [51, 96], [54, 140], [119, 172], [1, 67], [154, 205], [31, 80], [55, 143], [10, 70], [7, 76], [214, 268], [33, 95], [14, 87], [65, 153], [0, 52]]; loss = 0.023725 low_pass_filter = 0.300
+Epoch 0: | | 42049/? [6:37:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000train step 42050; scene = ['4d8ce79fe1dc76ea', 'fff923a9b6bd66d0', 'fba4077e3266cf2a', '4f73c98468777026', '849b0e2f4bfbcf5c', 'a6de99319d52aaa4', '4f0426596f5d2a4f', '314ffe1c4140684e', '64cabd9f327a1a99', '9b6ca3cfe5886688', 'd7827be3525da46e', '2486f6b3f867bbd4', 'c138e672617341cb', 'acce13e84d3dd931', 'cfc6396b2c66cf16', '82d5cf26ac1ecbd3']; context = [[63, 144], [53, 138], [0, 69], [55, 111], [37, 97], [5, 80], [17, 72], [37, 113], [43, 92], [145, 234], [115, 177], [1, 48], [11, 57], [4, 57], [21, 88], [222, 278]]; loss = 0.044786 low_pass_filter = 0.300
+Epoch 0: | | 42059/? [6:38:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 42060; scene = ['2f028c09c83a0aeb', '61d2fa87a0e9d621', '9eb9c06f7c377ce6', '24c12e3920d415ed', '9edf97202c87fd31', '1e793ddcca585feb', 'a64b39d2648aec13', 'ae11f1d930436d1c', 'af2dd5d2c542677d', 'ea83dfd340855fc5', '17d579cd9c3c11c6', '51504900fa03f469', '46bd6ac81c2ca6bf', '8230269d5694b850', '09f447a82910d9e2', '58e75e2b5b11725e']; context = [[136, 195], [45, 93], [96, 141], [15, 68], [15, 66], [58, 124], [58, 143], [122, 189], [12, 79], [48, 134], [23, 109], [1, 48], [24, 105], [17, 73], [132, 194], [143, 226]]; loss = 0.024146 low_pass_filter = 0.300
+Epoch 0: | | 42069/? [6:38:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 42070; scene = ['211955799aea0b11', 'dec88d575276a479', '19283c18e8d4c093', '8c12405bd5d0fdaf', '5e6b6cf7eb54c960', '648d59fb0909b01e', 'd123eeb2049f770d', 'f03b097882e328ca', '33cddf881b54866e', '058fde22adb2bd69', '352405a498056a04', '85e226223d1d045b', '4d352f1f3d457919', '032c591bb9c0ab2c', '53fd05a1f24da0b6', '2bbb6e260fff96b7']; context = [[4, 51], [10, 61], [2, 81], [10, 61], [26, 81], [96, 160], [160, 237], [26, 102], [155, 238], [44, 125], [81, 150], [177, 249], [18, 74], [78, 158], [17, 70], [29, 74]]; loss = 0.022609 low_pass_filter = 0.300
+Epoch 0: | | 42079/? [6:38:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42080; scene = ['86200c7934e48f9a', 'b83523d5a6b0de8d', 'e48be695530a9bf6', 'ba4bc50f3e101be7', 'c33a280526f9580f', '9b2bbbd898650e79', '4d95eabd1165fcb3', 'dabbe275dfe69077', 'e86b5e9968a1c865', 'da7bb9815103472a', '023a009030046924', '1a0affadce775a56', '7221fcf1835169d4', '328869e247a9c83f', '0d6742154bb1640d', 'e24e7b04d40e5d7d']; context = [[4, 72], [14, 71], [2, 51], [36, 108], [0, 46], [4, 74], [0, 77], [25, 74], [213, 274], [207, 260], [49, 104], [34, 116], [9, 75], [2, 61], [27, 108], [40, 116]]; loss = 0.024432 low_pass_filter = 0.300
+Epoch 0: | | 42089/? [6:38:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 42090; scene = ['a7e5c2b2c8fe38eb', '36b937cc3684eddb', '71b063c7314ecdc9', '2c8487ab01c71a50', 'e8b215c693c8c6b4', 'd821b84ef7e2c186', '1ed3d0dda9649020', '08c26703c4987851', '854a9ae4c223179a', '1e7c432d2207b6f2', 'c6b42d6e8cebec2f', '024a0070a97b88f1', '6c194892817e9e11', 'a3f4af0fb099f284', '4012c15c8381568b', 'c03bb717234e2031']; context = [[6, 55], [148, 215], [0, 55], [17, 83], [14, 77], [41, 86], [2, 91], [28, 79], [40, 117], [84, 172], [109, 168], [92, 140], [2, 57], [2, 58], [2, 55], [13, 90]]; loss = 0.023253 low_pass_filter = 0.300
+Epoch 0: | | 42099/? [6:38:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 42100; scene = ['3a31ed789296ce91', '0923f3552ad572f7', '5babab14b5da8d1f', '62a9cdcfa2e55488', '72e02bab04fb8c64', '752a9ba05152ec94', 'fac84877f62bf4ac', 'dc74defbc8c8d054', '35504747966f90b0', 'dbc8f6b8f02a5df6', '67ec892c9487534d', '7f11c968deb89da5', 'a7621aea5c101536', 'ca90cf157ecaadfe', 'f73708f8f2c1fcc0', '97133598e9144794']; context = [[154, 244], [1, 46], [29, 91], [63, 144], [4, 52], [1, 78], [0, 46], [46, 115], [0, 86], [2, 63], [58, 125], [179, 226], [10, 76], [74, 154], [11, 70], [129, 197]]; loss = 0.025983 low_pass_filter = 0.300
+Epoch 0: | | 42109/? [6:38:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 42110; scene = ['b65249520ff96b2c', '4a8613ae55449952', '437a510972fa1291', '3e4c6f7330f18510', 'dc4f99e729cb8640', '7c2a0ab3523a9304', 'cec46046c053260d', '0197f9c76ffe37f4', 'be6237fcfd50af5e', 'b6dc9bf5efafc2c9', 'c096648b039a05dd', '08ec78054feb5353', '07774c8af5006792', 'a4d6ac11bc4bba53', '987b8559b4128b69', '697fe60d10463f34']; context = [[143, 207], [81, 165], [83, 144], [9, 59], [29, 87], [93, 164], [1, 53], [21, 67], [1, 64], [32, 110], [86, 172], [9, 66], [112, 171], [60, 137], [4, 69], [8, 72]]; loss = 0.026102 low_pass_filter = 0.300
+Epoch 0: | | 42119/? [6:38:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 42120; scene = ['f98d3fb5b365336c', '27fb29e6808a6dc0', 'e6ad6e8999845115', '3a37cf4cacf00acb', '50204e987e3dc510', 'f38f2a4d40b7c590', 'f613a9e89ae730c0', 'd738990227f432f6', 'd39562e79985a0c3', '114d80bc715a44cd', '318ef3fc4a78eb62', 'e1176be7786367b4', 'd7fbb77bd2e9ad67', 'aec2f2ec71fdc2ad', '899bb046dda0763d', '0e88e1c2acec6616']; context = [[124, 214], [3, 85], [195, 252], [59, 138], [74, 131], [104, 190], [30, 81], [47, 132], [13, 86], [192, 259], [92, 141], [24, 75], [33, 109], [49, 101], [69, 149], [5, 50]]; loss = 0.095254 low_pass_filter = 0.300
+Epoch 0: | | 42129/? [6:38:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 42130; scene = ['99a7922ce3f339aa', '236bb4371f0a9b0c', '8bc26f82dadee1c0', '35fe38c771b332bd', 'f5d145d13f999e17', '190bc12de60a09d1', '01f0793599666c23', 'bb2f78e9c66d752e', 'b4ce98b34258cf50', '9f5b27821287f77e', 'ce72dd0a8a955b6b', '2b7009b7846c67e5', 'cc4a7a135b40e43d', '002a58afaeaf24c9', '2ffb2a302c2eb8bc', 'e47c511cbc88c8cf']; context = [[47, 111], [87, 159], [4, 63], [9, 92], [45, 109], [46, 99], [6, 89], [175, 227], [15, 67], [0, 87], [21, 85], [22, 71], [102, 178], [22, 69], [18, 81], [14, 74]]; loss = 0.023048 low_pass_filter = 0.300
+Epoch 0: | | 42139/? [6:38:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 42140; scene = ['16cbcf5ade966b50', '76d477e0f4218735', 'b1216352b15f9fa6', '2f42d8f78b745b8f', '354bb8c3bf607454', 'd53f3d87d749e474', 'aef1e4297d457ad0', 'e72a841fa01591ee', '7b026e9cc2809b23', '8960d6b0b7c62066', 'd834085f08b8e1b5', 'cdce02ed0baf8f27', '8bff83ff7b1d25e9', 'c572ac3284157a08', '729a45ca32c04257', '3f1b91f60386c5f3']; context = [[93, 170], [11, 61], [71, 138], [13, 88], [38, 105], [18, 89], [9, 67], [175, 232], [10, 70], [14, 72], [27, 88], [110, 166], [6, 74], [1, 81], [103, 193], [14, 97]]; loss = 0.026675 low_pass_filter = 0.300
+Epoch 0: | | 42149/? [6:38:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 42150; scene = ['89cab77e306665b9', '401b203197086104', 'dcbb0a79eddab29a', '7c267ee82628088a', '12d1472631bb3d55', 'dd32077f4f08dc69', 'c040886eda9e8efc', '89c1218ebe194ede', '5ede369220cc16b1', 'a242e4699cdcf0a0', 'f7b7405f352d53a3', 'baab02d64ec03a56', 'a67599645b90125f', 'fd7813e7f6b9c6fb', '8d56185921b4b642', 'a6990abb3591ce5a']; context = [[17, 81], [14, 87], [1, 85], [4, 71], [69, 126], [45, 129], [7, 52], [0, 71], [1, 48], [17, 86], [124, 184], [1, 73], [2, 63], [4, 68], [1, 87], [5, 57]]; loss = 0.029458 low_pass_filter = 0.300
+Epoch 0: | | 42159/? [6:39:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 42160; scene = ['747c5303b3a489bc', 'e0e15f1a6d4505f5', 'e790f451efd033ef', 'f7805054a28b6ed8', 'e46bfc605bc405f1', '4b9ed7532c875dab', '7073053a1ff0206d', '79e76f940b648264', 'c0f128f783625ed0', '88cf24f0c9dd93a6', '24d99efd78aa36b8', '3ebbc92a617fd1e9', '4ef090a0a136fa10', '36ae47b315bb99fc', '3601f8513ad029c3', '0dbb47bae0f2a724']; context = [[32, 104], [1, 69], [57, 128], [46, 112], [64, 112], [127, 185], [0, 45], [12, 68], [33, 113], [9, 54], [53, 108], [2, 79], [18, 79], [3, 74], [15, 82], [48, 120]]; loss = 0.023436 low_pass_filter = 0.300
+Epoch 0: | | 42169/? [6:39:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 42170; scene = ['81c13db7794eeec8', '0eb49c00fbc1331a', '004f2522f3d42f94', '63d7389f65f05e23', '2d7b0f3fe3160b03', '4aa337cac9b0b0e9', 'a8200970f4297da4', '8eb5e654849c2db9', 'ea294617ac465cc9', '19e7cce625884839', '8e678b31fbd4f0f7', 'e7150d8ce38f95ad', '0f9430e46f8d31ee', '89a5974d08c40fc4', '3eac02576d878cc8', '7a26af750ba9ab8e']; context = [[42, 127], [20, 109], [87, 136], [3, 68], [13, 84], [62, 111], [94, 149], [32, 120], [1, 82], [47, 132], [51, 125], [0, 46], [4, 83], [1, 54], [0, 56], [1, 50]]; loss = 0.022054 low_pass_filter = 0.300
+Epoch 0: | | 42179/? [6:39:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 42180; scene = ['b972669c5c766b18', '8898e2a210362ba7', '2cb2d8255676e654', 'ddfe9ba63e6d372a', '9467c3431e0e586c', '7bdad49548efe595', '7a1781db0d9a2f70', '2ec8edfc07c8841f', '19b52ddc2c0b41e0', 'bcb68900df3fb3c7', 'b18b0e59cc8d6d53', 'a2fe0ee3e737c073', 'e741fa80ebe93837', 'f8fb4c5f59b50530', '02cebccd52e7833b', '7a8d8426e0d1c1aa']; context = [[8, 63], [17, 68], [10, 62], [16, 106], [36, 100], [67, 115], [78, 166], [7, 88], [111, 176], [3, 64], [10, 98], [176, 254], [1, 59], [6, 56], [12, 66], [22, 76]]; loss = 0.023897 low_pass_filter = 0.300
+Epoch 0: | | 42189/? [6:39:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 42190; scene = ['838f56af86bbd9ae', 'fb1f477356515193', 'c3c6a1d4b69cdaf6', 'd3e71bbbe7705414', '7daa7a0f699ceabc', 'c214b28101c8c489', 'cc1d9324e09232f4', 'add613d689db1b36', '883e411c844935bd', '2a120d7433051b39', 'ffdc1ca307b644ad', 'caf5b80ffb785dd3', 'e16e982c96b26de0', '8b91f281b1c3feec', 'bd8e178c4d928d09', '24744a1c7767e0f0']; context = [[18, 82], [124, 197], [14, 99], [7, 94], [35, 108], [38, 83], [119, 202], [51, 138], [149, 231], [46, 108], [4, 89], [221, 267], [16, 65], [7, 96], [0, 47], [100, 146]]; loss = 0.098919 low_pass_filter = 0.300
+Epoch 0: | | 42199/? [6:39:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42200; scene = ['3594c7b061e41ea5', '1f03321df3099803', 'ece78ddcfe46af7a', '163a8471d885270d', '7933d6d96dd31a6c', '0e126fcfcf5a09b8', '570ec4d99796393a', '9868890fd5a820bb', '6a750d0085319d94', 'aba8920b0aa01c50', 'fa253477dc8dab85', 'b7dca8f8921dd2bf', '9aaa302f4137de82', 'ca982d77bc953b5a', '8dd0ddc3a4ab85b3', '1745b07cd7862df1']; context = [[0, 54], [1, 88], [41, 88], [160, 232], [18, 105], [6, 69], [3, 71], [24, 94], [30, 94], [75, 150], [2, 63], [42, 95], [55, 142], [23, 72], [1, 48], [7, 62]]; loss = 0.025884 low_pass_filter = 0.300
+Epoch 0: | | 42209/? [6:39:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 42210; scene = ['23f165b1591dab8f', 'a0251539c80a75fb', '8ea8fa9e91f61af1', 'a5e1730f71e1aab7', 'a5e23747e724db5e', '5101439f1f9e1da7', 'e2cfc841f85afb79', '0a5726f0d187b3a9', '14030101fce56c47', '440838d21213c5cf', '09a8c772df887230', '0a8a91a9c70abb54', '4c1eefb41890dd47', '3c98cb9bb58c0c19', '037a2b4741801a41', '1740c16e99f6fce0']; context = [[131, 221], [46, 106], [13, 88], [0, 53], [106, 191], [18, 103], [89, 174], [7, 67], [34, 81], [56, 133], [78, 166], [27, 112], [59, 123], [0, 48], [6, 52], [53, 101]]; loss = 0.030866 low_pass_filter = 0.300
+Epoch 0: | | 42219/? [6:39:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42220; scene = ['203ebd4a7ecd7351', '74d59500412b3a6d', '056a4a7e82bd4a08', 'a1de15d31837b1df', '06478c4b8a84db0e', '65911963a46bcb83', 'f699191b86f38a08', 'da3ff7fbc613e687', 'cb524479156837a7', '8b700c2734f29339', '5dbffdf5e936ee74', 'cbfae700b0802703', '521fca1af7388ac3', '340f5087521b0117', '527ed10de8647f13', '55668f4c760d49d4']; context = [[11, 78], [6, 64], [25, 110], [0, 45], [15, 66], [14, 102], [7, 87], [55, 109], [25, 98], [73, 133], [0, 54], [32, 93], [5, 58], [15, 81], [27, 105], [0, 65]]; loss = 0.027631 low_pass_filter = 0.300
+Epoch 0: | | 42229/? [6:39:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 42230; scene = ['f46f73c6b994a630', 'a4749911cad4f5cf', 'f02ece766e3ac5b7', 'c926a919e6a16e3c', 'ce83dcd7dcf2824a', 'c6b155bb51d29d9f', 'b2ad1dbda5c04fae', 'd83baada13bf5140', 'eb490ca6a428e0e6', 'cb493cdafd03a22a', '752d39fb1c32fa3e', '777444de006226ce', '2e5e3c12008c75be', 'c98ea5702ac87104', '3023bf786ef48059', '7bfe443e0fdb8ab8']; context = [[112, 180], [94, 139], [13, 63], [0, 56], [55, 108], [4, 60], [51, 136], [11, 76], [15, 77], [51, 134], [7, 60], [15, 61], [55, 107], [70, 118], [0, 45], [0, 61]]; loss = 0.026320 low_pass_filter = 0.300
+Epoch 0: | | 42239/? [6:39:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 42240; scene = ['047b29485a1bbf20', 'c5b7258e5a3d9896', '0c2ce688132e3ccc', 'e897826c02fc4e95', '88442d4eae4203fd', '550898fbe362b272', 'f9ecef329d8da290', '6224f61fe042e117', 'cf7f50d31a60d2c7', '96ed5a8b0dcc572c', '106449f6ae050588', 'ffe814d6a265f8b5', '5b9e7f0865190eda', 'a60e746c2f928b89', '49933df694f4108f', 'ecb14f7f19f960b9']; context = [[89, 178], [61, 135], [19, 79], [103, 166], [0, 46], [12, 76], [14, 64], [156, 207], [10, 70], [58, 131], [93, 147], [37, 90], [10, 63], [10, 67], [43, 99], [10, 90]]; loss = 0.027907 low_pass_filter = 0.300
+Epoch 0: | | 42249/? [6:39:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 42250; scene = ['9733a5e8b87112f8', '714d84e0be7d7dfb', '858e46647610ba9a', '5e66f54d9b99573b', '3576553305e59d4c', '7e590944b3d09a44', '2a79a8bd4edfdbeb', '1b4dfb04c00df170', 'c21766bd51fed5bc', 'c472581eb9a351cb', '6102005c6aa4af25', '333f62c89b529822', '06def6f25e4a3107', '589e362118b32d25', 'b7ffe15e4ef99466', '01f2f5f1a7ecba68']; context = [[160, 213], [76, 124], [33, 103], [0, 86], [3, 92], [40, 114], [5, 56], [20, 69], [45, 112], [104, 172], [17, 64], [10, 66], [15, 80], [64, 116], [2, 69], [11, 67]]; loss = 0.022785 low_pass_filter = 0.300
+Epoch 0: | | 42259/? [6:39:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 42260; scene = ['67db02d7bf813f5b', 'c4681c8af6d65f1b', '72ad04d9fea7f3aa', 'ce68b2802d6819ee', '15697c301505297f', '54113616e3c8ae12', 'aec9839d095186a5', '4df0eabb02d177d7', '39c04c73d4bd21dc', '660c377f918f0922', 'c68f15dd31feb2b8', '974c16cd3063fe7b', '9903d3fe63d6a818', 'f60fb1fa9fcb5fe8', 'e4f16f4b31a78522', '46a36899c1217f11']; context = [[40, 116], [32, 118], [126, 191], [0, 81], [20, 108], [28, 89], [6, 57], [13, 63], [5, 55], [2, 58], [133, 180], [177, 234], [8, 87], [43, 91], [7, 97], [43, 100]]; loss = 0.049514 low_pass_filter = 0.300
+Epoch 0: | | 42269/? [6:40:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 42270; scene = ['b681aee07eaf04f3', 'fba59fdf07326fec', 'ac22f6e38b10a056', '37b4ceaa6a5ec27e', '07e029a9578b335b', '0be71613432d3b54', '14df881e0bb56d3e', 'bcb6f212ffe46cab', 'eec53be04c7fa7bb', 'cbda17fc7e8a6e86', '3a6fa2bf8d42d2f6', 'd6187fc008e4e1dd', 'd62251480933c90d', 'ec36aa235dc5a597', '62d36b447e464a20', '9d568da72daebfd8']; context = [[20, 102], [50, 105], [61, 107], [96, 154], [100, 187], [41, 111], [16, 91], [0, 62], [6, 70], [40, 86], [18, 84], [19, 66], [0, 49], [8, 84], [15, 105], [45, 127]]; loss = 0.022461 low_pass_filter = 0.300
+Epoch 0: | | 42279/? [6:40:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 42280; scene = ['2e2cce8b80bc8018', '1badfac3b77b18f6', 'd60a0aa6d5711b80', '62c4b13b4d673035', 'c8234e5da5f366ae', '8afb36156243fe84', '6d45a2090f8a7bee', 'ee5b68d3466873cd', '3d41895358e224b6', '06c7cb360e434de5', 'a0493b972780d9ae', '58ba43ed2adbd310', '0ea03727e64c2e53', 'dbbd2d62968c2aab', '68d0e78200de8dbf', 'f12488eb2f36d1ea']; context = [[1, 66], [1, 50], [5, 50], [3, 68], [25, 98], [20, 99], [11, 64], [6, 65], [56, 136], [17, 72], [0, 51], [149, 203], [147, 194], [39, 120], [5, 57], [59, 122]]; loss = 0.020747 low_pass_filter = 0.300
+Epoch 0: | | 42289/? [6:40:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 42290; scene = ['10a1f8abfc11b748', 'f3e2032cbef0169c', '9a06318c3b567f57', 'cc9c60269e489a99', '18c6d122fe4c3dc9', 'f5201dbafa0af79e', '7e3991a1e57c1b92', 'e621fd73ae473881', '97a395ac62304d1b', 'c073e79fc1a1913f', 'bdaf42f6d92c13a4', 'b526812abb4244ea', '36e9f6aa15a645bc', 'd3b81862311a4624', '19d29b637c994752', 'c19839af089b3874']; context = [[4, 92], [26, 89], [87, 137], [24, 84], [7, 64], [180, 233], [79, 143], [0, 87], [170, 257], [49, 112], [153, 223], [5, 67], [19, 71], [8, 70], [65, 116], [25, 70]]; loss = 0.026888 low_pass_filter = 0.300
+Epoch 0: | | 42299/? [6:40:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 42300; scene = ['b1944225bfdec51b', 'a4deeac13c91c00b', 'b78b771f55d43b2f', 'ded15efd6c0c922f', '431874e704453130', 'd134d86887045cac', 'ce085ad19ec5ff48', '2a77abd95bdb490a', '4424534c195b6149', 'b7d4e01b90e2c28b', 'b628fcd395211ade', 'f5d03fa0aca910d3', 'cbc3afce38e5c83b', '36295de2a127d034', '1f89d2abce700708', 'b36f5704af87f5db']; context = [[39, 107], [15, 90], [4, 68], [0, 46], [1, 78], [1, 47], [192, 249], [3, 53], [19, 91], [20, 105], [11, 98], [12, 60], [195, 260], [2, 61], [39, 107], [5, 90]]; loss = 0.022742 low_pass_filter = 0.300
+Epoch 0: | | 42309/? [6:40:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 42310; scene = ['3b77d03f923fda5b', 'a8b8032ddf94b8bf', '5bb27c0e0a89bdf3', '13aacaa9bfaff3f1', '351acba755ebeddb', '0f8c41f469cea050', 'f8c08f83e8dba6b3', 'aeb22e7070c7ebc7', 'c988dd7d71e48bc7', '4127c7dd2d0fd83e', '6a18f39c2e334256', '8a3aa2d63fd31dfa', '5f14e0e70310b263', '87f4f7f9fc5d01c3', '9e496cf3ceac8708', '4d8a2de461cc1925']; context = [[36, 88], [72, 136], [2, 86], [39, 101], [30, 98], [16, 67], [0, 45], [5, 64], [5, 50], [21, 95], [4, 58], [0, 48], [120, 175], [24, 96], [77, 153], [57, 104]]; loss = 0.057501 low_pass_filter = 0.300
+Epoch 0: | | 42319/? [6:40:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 42320; scene = ['567afb27f3c224d6', 'db1dc9c9fc7d80ba', '0143876971f2d26f', '4cd2861f338c72f1', '5ad339434aeed850', '800730657e19060f', '9c9a69788a977bcc', '2aedb6f4d4cadea9', '7c1010582c1ebbac', '38003c8440e4f145', 'd10b947d1bd37260', '55beb1567126410a', '32d09e777fe79723', 'f2acfbea86f8c413', '0cd8897b8a77eddb', '5c5ced708d2b3c8b']; context = [[177, 234], [149, 233], [2, 51], [0, 74], [0, 47], [114, 166], [22, 72], [55, 119], [2, 91], [20, 81], [69, 126], [129, 207], [26, 92], [65, 113], [50, 105], [58, 114]]; loss = 0.021304 low_pass_filter = 0.300
+Epoch 0: | | 42329/? [6:40:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 42330; scene = ['095889891b7da599', 'bb4c043078a5b91e', '3f1a1e582e8c1158', '3f9ae08552374fb5', 'd6fc181ec9c1537f', 'e54b5eec8cc47776', 'c3e773c9ea1f4727', 'cad8d99d5938a98a', 'fa56250d112da444', '49ea8c548dd1f1f5', 'dd780c76fd484eff', '708a44e2cf72d34b', 'cdfde85bdf3542f7', '88adbd8bb10e8d4f', '150809c50e75783c', '1ee79223b5b61a79']; context = [[2, 47], [29, 108], [66, 137], [14, 99], [82, 150], [39, 98], [10, 73], [72, 120], [57, 142], [3, 55], [37, 82], [12, 71], [210, 264], [21, 83], [105, 181], [6, 54]]; loss = 0.027113 low_pass_filter = 0.300
+Epoch 0: | | 42339/? [6:40:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 42340; scene = ['0209fa7ef8a06022', '8f7dbb2f1b867a8e', '885587f42ee4e11e', 'b092748c833948a5', '97be5aef5a551277', '68eda0e3a97731dc', 'c0fb2e74353210e8', '1222f5f021cdfaa9', '850d436dab899405', '63a36e290c283757', '565db4456c9fb22c', 'b50f8a66ecfcf1e6', 'ad5c374197f81547', 'c54f5f75648da1df', '9bf893735e9b1ab8', 'f1a81e9c8264e5a2']; context = [[0, 76], [130, 199], [5, 93], [30, 88], [10, 79], [2, 74], [24, 112], [147, 200], [126, 215], [7, 73], [0, 82], [73, 138], [20, 77], [11, 79], [29, 95], [39, 99]]; loss = 0.030705 low_pass_filter = 0.300
+Epoch 0: | | 42349/? [6:40:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 42350; scene = ['ec49c31e0ed06b52', '315fee37794761c2', 'f51448ecfae30d68', '31922770533c1af8', 'a224062b7b93cb03', '1261f7352c1da2ac', 'c4bdccc08c477c83', '9f9adda8c2f8d43f', '68173846a9e6a4ee', 'd934b35f87276390', 'e8b0adf158f91fbd', 'e138102f24941ff6', 'b71b7a98725ee285', '2fd3ab234cb54924', 'cd145e8211376ff9', '4582335434b7952d']; context = [[7, 75], [21, 74], [6, 86], [25, 102], [3, 52], [1, 70], [51, 112], [97, 187], [49, 107], [117, 175], [17, 71], [6, 61], [199, 277], [17, 63], [5, 61], [59, 109]]; loss = 0.024821 low_pass_filter = 0.300
+Epoch 0: | | 42359/? [6:40:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42360; scene = ['559322faba1bc893', 'd4c4178391fa64a8', '51996d52eea809c9', '9b71031c032f03a7', '8c4959742a47d9a1', '8e918671173842e9', '706210d8cd04e8f5', 'c174fb69aa81e519', '4b34e4a22e4a08ab', '903efe5f8a8e932b', '1268b7774e3d93e5', '9be4f7f194641876', '16550b4843bda7c9', '22ad4d6b24d8eb3e', 'fd76831770670610', '0f72af29e689aa51']; context = [[10, 60], [11, 75], [11, 76], [67, 140], [7, 86], [13, 79], [44, 107], [145, 220], [42, 97], [21, 91], [98, 143], [68, 157], [10, 60], [69, 126], [0, 61], [6, 59]]; loss = 0.024179 low_pass_filter = 0.300
+Epoch 0: | | 42369/? [6:40:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 42370; scene = ['6ac05296f40c0c95', '93bf60d2c52cf1f0', '574525ca424d6534', 'aeff198065a9b1a8', '9dfb47c595e5f4b1', '593f5915b5f4e44e', '13b6ba1e1a47cad9', 'a202d9011de16580', '3be0e7ec02876810', 'ba886712dec35139', 'b0b36df501ec7957', '2be4893cdc6f6e3f', '6517b2392f9cd452', '8aba5d8cbe4a821a', 'f0962de86ac20fbf', '623640f3015a951f']; context = [[69, 157], [2, 68], [18, 92], [0, 45], [12, 94], [30, 79], [19, 64], [82, 146], [2, 56], [1, 47], [103, 192], [73, 128], [18, 107], [152, 237], [6, 92], [28, 92]]; loss = 0.023125 low_pass_filter = 0.300
+Epoch 0: | | 42379/? [6:41:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 42380; scene = ['adade3f3c67639ab', '9f390d2b297ecad6', 'bb4b0c18a7a64c44', 'd813316c9bb7ead4', 'f9db85111bbb3505', '62c9128dc359e7cd', '7ed3419c7717bd7a', '045a6a385f09e6f3', '50ee87260cc88f0e', '107d979e758b8ec6', '1ba1898ad4f268ef', '580ab276c4a72feb', 'c9b6da2e91b97069', 'ea9bb07d43b25381', 'ad54d706cf223a25', 'b1a53b2f0ca30ce5']; context = [[17, 85], [196, 276], [0, 70], [63, 140], [11, 71], [5, 67], [28, 104], [12, 76], [15, 80], [94, 157], [17, 71], [5, 72], [29, 79], [8, 77], [20, 73], [6, 87]]; loss = 0.024843 low_pass_filter = 0.300
+Epoch 0: | | 42389/? [6:41:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 42390; scene = ['566c303cfa6a0077', '094e66678ac96c82', 'fb5a80a778281287', '407f30b4e6d34dce', 'b29d23d76f4b1f60', 'e7b0d2b0f8345433', 'c2f79eadd57323ce', '93b1c2796a3fc4b4', '4be41d2ae3c6c617', '85b89f911b62c310', '34b6c365004325e7', '1a7b857d206b5e11', 'd6fb3530ec7b97c2', 'bcb2e6defe083126', '580cfd410e2cc3e8', '52a4f713b01a5a58']; context = [[2, 47], [34, 110], [23, 91], [86, 142], [2, 51], [0, 73], [13, 67], [36, 115], [79, 162], [0, 45], [51, 100], [13, 99], [101, 175], [55, 126], [33, 97], [5, 55]]; loss = 0.025521 low_pass_filter = 0.300
+Epoch 0: | | 42399/? [6:41:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 42400; scene = ['f948c70edc619fac', 'bcda92d7b2a2864d', '0b152e0f8bc45d03', '24347fd8b78724be', 'db588b3d9fddf8c8', '3aa48f8d00d72451', 'bb8d200a7e3e424c', '24796eab91d76073', 'dc58b6b45320567e', 'd146ae9445f5411a', '0389391c32a6659c', '8539281bf2d95806', '54c66644ff37a8eb', 'b9f2a7afe1c19bda', '290127cd737563cc', '24c90b915d34ef39']; context = [[32, 100], [4, 72], [148, 197], [51, 131], [153, 229], [31, 98], [8, 81], [23, 93], [145, 205], [6, 55], [93, 156], [137, 190], [15, 69], [6, 95], [5, 85], [132, 186]]; loss = 0.026789 low_pass_filter = 0.300
+Epoch 0: | | 42409/? [6:41:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 42410; scene = ['91d3c116b86c62a2', '03b4b854170c1447', '007525d507d7a6c1', '29e647d4d896d68f', '08011a68f39ca0f4', '25a35d6bb3d58a7a', 'd63b84db0b35d04a', '3485e4776717068a', '490710a2cacc8268', 'dc340f8aa416f839', 'cf6a4349d0ffdfcf', '069c535d11d48564', 'b915146b10f26355', '6b549d67d37b3d6a', 'ff5a148b852949ec', '94f20b7d0165bdbc']; context = [[61, 120], [27, 77], [19, 87], [136, 206], [6, 61], [59, 112], [89, 148], [5, 57], [54, 127], [10, 61], [10, 56], [38, 87], [181, 265], [46, 125], [82, 128], [9, 59]]; loss = 0.024141 low_pass_filter = 0.300
+Epoch 0: | | 42419/? [6:41:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 42420; scene = ['7db7d2dd5a83c449', '68173846a9e6a4ee', 'd934b35f87276390', '315fee37794761c2', '9f9adda8c2f8d43f', '1261f7352c1da2ac', 'a224062b7b93cb03', 'ec49c31e0ed06b52', 'c5e288f3b5dba40f', '00a861d699fb7797', 'c4bdccc08c477c83', 'f51448ecfae30d68', 'e02bdbf64b293ae8', 'bab9c0dad972d960', '6d417df8e0934224', '0a8a71e40fe5927d']; context = [[0, 74], [51, 141], [13, 63], [7, 81], [50, 115], [18, 65], [17, 95], [17, 77], [3, 55], [181, 241], [13, 94], [41, 91], [3, 78], [1, 70], [87, 150], [38, 85]]; loss = 0.029166 low_pass_filter = 0.300
+Epoch 0: | | 42429/? [6:41:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 42430; scene = ['deddbc4bb1da2bdb', 'f97967e519b2c2bc', '856f7529b5f2d695', 'be75b076f8c08cd5', 'bdfc741d33921386', '2e5ff8faebe9c6d7', '8488fa43d3af93b3', 'a5ffb8224b9ba43f', '2117960d31ed1cb2', '3828012e4927ce86', '3801fa932c2b4338', '9dfab02a0ff14bb9', '3b06584da906811a', '496d1c59633bb143', '99035b0c28d05e25', '3150b1c3a91a4e9e']; context = [[4, 67], [20, 66], [0, 86], [24, 86], [51, 124], [14, 67], [13, 65], [0, 90], [68, 124], [2, 55], [5, 70], [8, 93], [48, 110], [1, 70], [58, 107], [146, 225]]; loss = 0.023758 low_pass_filter = 0.300
+Epoch 0: | | 42439/? [6:41:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 42440; scene = ['e96a40a434e0b83c', '2d9ad09dfbbccc5f', 'c7b3620b618be980', '6c86fd352266b6f4', '22c80320c49a62a6', '7570e1000b6f66a7', '41258160de3b9847', 'd19952203c1188e1', '4795f3164af3226b', '9151720411a52081', '78b4a3aa2803aeb0', '1043af708de5a840', 'ac8756d6c28dab96', '05578300751eb070', '482c01e057fdec27', 'b4876f461a40631f']; context = [[7, 86], [117, 197], [12, 78], [84, 157], [4, 64], [6, 73], [72, 119], [25, 82], [7, 78], [198, 245], [61, 137], [59, 132], [6, 87], [26, 85], [137, 226], [6, 71]]; loss = 0.223524 low_pass_filter = 0.300
+Epoch 0: | | 42449/? [6:41:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 42450; scene = ['c61660db7b36207b', '5aa677118a447f4e', 'ab84bd6ad2c3f20e', '0788c973574d562f', '7ac3519a24738854', '946f96dfadda281b', '3dd1ee9ce46014e0', 'd8cb90fd13152e6c', '0ca0911df7c66c58', '4a2c069d7bfa3eae', 'd998d161753e9542', '4801c55743478ab4', '2aa058b8233968d1', 'f01d231329f4844a', 'cf2981ade7a6a0f4', 'aa293d98738dc39f']; context = [[56, 146], [31, 87], [58, 125], [24, 107], [57, 107], [198, 252], [5, 80], [1, 63], [182, 241], [40, 97], [98, 180], [30, 106], [34, 123], [20, 88], [40, 103], [13, 66]]; loss = 0.024806 low_pass_filter = 0.300
+Epoch 0: | | 42459/? [6:41:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42460; scene = ['c772fa408dae9acb', '15790a6ab4a1f516', '8a063a94cfe50aa1', '1170794da4c3f477', '1ef1a0860a3b465e', 'ceccbecac655b01c', 'aa41eb9219ec67a4', '2ba9777778fe9973', 'bb6c0a11d8e4853b', 'fa3629688684df1f', '5a99e1d90d1ac9a9', 'db604dcd44e99d65', '1e1be68e5d2c0b80', '44b47f1ce0a9d648', '38603d74dae54d1c', '150f77d98473b3b7']; context = [[0, 53], [11, 70], [4, 91], [6, 55], [8, 62], [25, 114], [3, 80], [180, 261], [9, 98], [0, 46], [67, 119], [46, 121], [44, 131], [151, 216], [39, 128], [11, 98]]; loss = 0.033952 low_pass_filter = 0.300
+Epoch 0: | | 42469/? [6:41:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 42470; scene = ['bdacd02f0e4a8f39', 'c5a156ed24138140', '888bf64fd7dab7fb', 'bc4a463315bb06d5', '5c92b85085b1ca15', '4dd3bc8cc897393e', '26d62f7d40ec88fe', '858a56679ac008f3', '70259ee1fe26f85b', '5b62aa29957e669e', 'c3cdf7ffed793e44', '4cb0004a77ec42a4', '3fb9031eadee0623', 'b0c446190c9dbff1', 'e6d10d8d551ed1b3', 'a94288a8ba34c885']; context = [[15, 78], [72, 152], [45, 125], [25, 83], [16, 92], [40, 89], [205, 266], [0, 85], [13, 90], [22, 107], [44, 100], [27, 77], [8, 91], [89, 134], [9, 85], [61, 114]]; loss = 0.030806 low_pass_filter = 0.300
+Epoch 0: | | 42479/? [6:42:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 42480; scene = ['d437beb1a01fabf2', '6cfc76b16e72752a', '6cee8362ee57a4c7', 'd9dce3382830aea6', '8fed29af74002491', 'a7a79393e5bb8108', '37d7e8a9f23b2418', '022d410bd702ba81', '3ec801a510862eaf', 'cba6272095141e36', '74c29d0b7eb8728b', '90ae09316f304318', '4007505c2d6ee7ee', '5bdceb769e5b3926', '9c6ae5f9ffede923', '322eaa39daf81f93']; context = [[31, 92], [1, 46], [38, 127], [7, 65], [52, 115], [78, 154], [1, 57], [13, 63], [12, 76], [3, 83], [12, 57], [3, 55], [0, 46], [37, 107], [175, 243], [7, 73]]; loss = 0.028127 low_pass_filter = 0.300
+Epoch 0: | | 42489/? [6:42:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 42490; scene = ['f51c7c1d017851f7', '5cb68a057d09b157', 'c447184e2ac73f93', 'd459f0fd6844dd6d', '821f8ab7d10fc4e0', '994f9c166991e13b', '2f53f8fe1635c1e5', '8e096002f3ab8224', 'e9cdab9a58781c2d', '5f35ea53af8b7e22', '81a9db37de0a1549', 'b3588b0f47be9ff1', '163606f5e088b2fe', '0ec17f60d1888068', '74e8bbc4737ef761', 'de0d6a8a41cb09b8']; context = [[23, 102], [107, 157], [38, 117], [13, 98], [25, 84], [28, 100], [3, 81], [13, 61], [2, 59], [11, 76], [167, 245], [13, 87], [56, 137], [2, 61], [4, 65], [50, 110]]; loss = 0.024128 low_pass_filter = 0.300
+Epoch 0: | | 42499/? [6:42:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42500; scene = ['746e147944928a14', '5167dc2231bfec63', '5220b6dddbd2b6c5', 'd7e7949633da853e', 'f2133cf68e6b7993', 'd858d269c16ef238', '15ee0149c03dabf0', 'e69bc9dfa8547753', '9a72f13665828446', '36c90e7d21f80783', '74a0bca59cceb577', 'd87ee6c5ee767299', 'ed09c2c104691f41', 'c226a05dca40d265', '6238b9bd511fd87c', '471727b63053034c']; context = [[1, 70], [15, 76], [67, 139], [41, 113], [1, 50], [30, 79], [95, 171], [16, 85], [14, 96], [39, 89], [121, 200], [4, 50], [3, 48], [10, 58], [26, 72], [10, 58]]; loss = 0.025112 low_pass_filter = 0.300
+Epoch 0: | | 42509/? [6:42:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 42510; scene = ['3e5c85913fc7c0d8', 'a020feef33132bab', '9005a907bf9a54bc', '1bc87f3755e5876a', 'f6f1f51bc8538b9f', '7b1854aa0edd0d17', '0fd809b090bbed1d', '63285420ba79f570', 'eb2089db75a8c8e8', '1f2eae1083f108ad', '401ce8a065750160', 'f12189d951f4e8d1', '7a33856e537d35ac', '27cc96a022970ec1', '6a53118833481290', '2afe2b1d0cee0e75']; context = [[22, 108], [1, 59], [31, 114], [3, 49], [0, 47], [96, 171], [121, 204], [61, 130], [30, 86], [46, 131], [7, 66], [30, 92], [5, 77], [78, 141], [4, 87], [27, 80]]; loss = 0.029382 low_pass_filter = 0.300
+Epoch 0: | | 42519/? [6:42:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 42520; scene = ['402071c2b1550820', '11c47219c153c014', 'f8a24a1cae5ae861', '4beff98ac10fb266', '8b8f7cd56fb6a696', '20fa2a9557a949a9', 'fa051d0232ae8040', '9d34c9589e0434c9', '92f0ac52daa463b6', 'd2b34cb3b5d00afa', 'd6908f33460b023b', '055f4c034400a175', 'da56c7ef9df14143', 'c2883a1b59efa9cb', '65be8dee646970d9', '960daf58070c833a']; context = [[125, 209], [62, 145], [147, 215], [0, 46], [26, 98], [39, 106], [146, 234], [47, 135], [50, 108], [195, 271], [2, 71], [25, 95], [8, 54], [39, 118], [6, 70], [10, 80]]; loss = 0.028140 low_pass_filter = 0.300
+Epoch 0: | | 42529/? [6:42:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 42530; scene = ['5df5c5216840766c', 'a78affb518c2e2c2', 'dee435320ceec344', 'b3c2eaecfff1ccaa', 'b918852a1561726c', 'cf1b989d2cd6a21f', '5d3bdb9c1f87185c', '4e6b3c33bd1b41ab', '111f07323b6cb3b0', '935328d1049e18ba', 'c0957c359b852c35', '6e62128a879efd48', '8aa87dbef45279df', '3b2d83497d98dc06', 'ef4731165c5ecb86', 'bd16beec5b57de15']; context = [[0, 45], [0, 83], [43, 119], [3, 48], [38, 107], [11, 89], [3, 80], [1, 82], [0, 46], [140, 220], [24, 102], [38, 123], [1, 59], [102, 164], [32, 97], [8, 53]]; loss = 0.084171 low_pass_filter = 0.300
+Epoch 0: | | 42539/? [6:42:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 42540; scene = ['c19efa0eb9d3fad5', 'af9da5714f72f597', '2de9f3585e79aac0', '33c9561e60c5c3bc', 'df3bd90e82164904', 'f080ccd0ba94997a', '49dfcdea956c0fba', '2effe89a7d56545c', '41ea521aef121c25', '4d0e0a79d5d2b83e', '8c6280ae05871d49', '33e683233a6f972c', '3bc2111ee56bb976', '9426fa1b0ae38a34', '29f6f41182191486', '5ca1a8ea53457a46']; context = [[1, 68], [35, 119], [38, 105], [9, 92], [26, 92], [102, 148], [184, 267], [115, 171], [13, 88], [55, 127], [10, 87], [174, 223], [9, 68], [38, 111], [19, 96], [35, 124]]; loss = 0.023299 low_pass_filter = 0.300
+Epoch 0: | | 42549/? [6:42:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 42550; scene = ['a5f31714273c8220', '87d840cfccb47c75', '44dd7235598d029e', '8f16e3607a0aa4f3', 'd924ea5aa3707662', '7032153cd96ff3e6', 'fa005476579f71e0', '08e27ee11557632c', 'a0f7572e76d87441', '27973df329d50c4b', '7462ff8dbc5f2645', '3e008f1d33515ed6', 'a2cbc2020855008f', '5a328134197a99e7', '50b4e34e571cf518', 'ca0381510721729a']; context = [[4, 88], [13, 102], [27, 80], [4, 68], [114, 187], [5, 89], [8, 61], [9, 61], [7, 63], [134, 195], [21, 88], [165, 231], [3, 73], [78, 128], [28, 98], [26, 73]]; loss = 0.045889 low_pass_filter = 0.300
+Epoch 0: | | 42559/? [6:42:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 42560; scene = ['15f15ef3017065f6', 'c6335bb1ed4feee6', 'c00094fc65365c02', '49d6b79b2517c1ec', '771aa992eae9a574', '687162e3d133187e', '644288bfbc415e99', '41ce692db2b7b72e', 'e468dbe028f3fcbd', '395b94f7cf747d1e', '58e8608524c8af53', 'a4749911cad4f5cf', '752d39fb1c32fa3e', '777444de006226ce', 'cb493cdafd03a22a', 'eb490ca6a428e0e6']; context = [[35, 111], [4, 50], [3, 64], [1, 46], [19, 79], [4, 88], [0, 71], [149, 205], [38, 98], [20, 75], [2, 61], [117, 162], [0, 54], [39, 106], [125, 204], [3, 58]]; loss = 0.029239 low_pass_filter = 0.300
+Epoch 0: | | 42569/? [6:42:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 42570; scene = ['8ad3918394be8d98', '1643b6a11a819f37', 'ba7019268cbd976c', 'f63d2df8871ce70c', '106fa5a7ff2a8839', '5a89880eb9996290', '380aa8c6d47a59a7', 'a1bcecce933334ec', '576bcfdc62b51455', '5bcef3db70b6a339', '28e2882fd19235da', '0efc5f77b13da150', '44c89ea5834e28b3', '8dfe8887806a699c', '25c642db7f0f4274', '6c37b62853077e8e']; context = [[13, 99], [13, 59], [70, 133], [2, 52], [127, 204], [24, 112], [10, 95], [98, 178], [1, 46], [0, 47], [1, 67], [1, 52], [55, 104], [13, 61], [35, 89], [15, 96]]; loss = 0.028503 low_pass_filter = 0.300
+Epoch 0: | | 42579/? [6:42:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42580; scene = ['7af9262f51a0c90f', 'b536cdfe01bc746b', '9753fb68129f08fb', '8e034eff07ef1378', '17c8fa24f6bd1331', '1e35a6338c690b52', 'f2dfbbcbe2f3ccd5', '93aaaa30360ae75b', 'fc6b484968a872c5', 'b8af5b1dafdf212f', 'b9086d2cecefe07d', '3106bc7a6c027f07', 'b3e2ed69a99b2d7c', '8bc0f7f6b2dd43ad', 'f030216648778de8', '9d4dc226fb3612d3']; context = [[38, 103], [1, 53], [3, 69], [45, 118], [17, 62], [6, 69], [2, 68], [57, 104], [40, 113], [153, 227], [21, 66], [33, 118], [31, 86], [25, 96], [4, 85], [32, 80]]; loss = 0.028027 low_pass_filter = 0.300
+Epoch 0: | | 42589/? [6:43:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 42590; scene = ['13bd9deb32e731f5', 'a06b2802ca08da31', '9c37503a20f8d6e9', 'a633cd79e6443aff', '37de1068a28bfc35', 'cc039d2dde109d6f', '6022d45204ed3bdc', '854fcd5213c999b6', 'bef9ce6ff4d4f078', 'c3f3082c635d40a4', '9aa246217e9c04ea', 'e63cb12fc52c36c6', 'f60373796216b3e7', '39dae4692d7b82da', 'cfac893736d0c31b', 'd800d4da5605b3d6']; context = [[18, 100], [13, 98], [98, 150], [59, 127], [59, 124], [95, 177], [6, 62], [16, 80], [33, 109], [0, 55], [5, 76], [1, 51], [59, 141], [50, 136], [37, 118], [0, 85]]; loss = 0.145180 low_pass_filter = 0.300
+Epoch 0: | | 42599/? [6:43:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 42600; scene = ['58d9100716253f0f', 'e32290ab3ad7c715', '74ccd7f499ff29c1', 'a89e2f1bc57991f3', '6a3f9d9e01c9bda5', '1a00d4e8aa97867b', 'ab85bf8652d24e47', '95f77454a0125854', '82952283d9bb3de6', '3b1170b3725c6b04', 'a82d926118a1ab97', 'd0daf2f62944dd3d', 'af5b170dd00f375d', 'd3edfadeed4bf16d', '0059ff3bc0a9b4c6', '02f82cf54ffefd78']; context = [[31, 86], [90, 150], [5, 71], [9, 54], [6, 69], [118, 200], [161, 218], [38, 118], [16, 62], [21, 71], [22, 92], [9, 62], [108, 154], [73, 128], [29, 88], [1, 55]]; loss = 0.021153 low_pass_filter = 0.300
+Epoch 0: | | 42609/? [6:43:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 42610; scene = ['e82f04c31c257d70', '2f19a454ec1f7a71', 'f760f01e89c53799', '16e92460b0a30c1d', '1fd3d6918b5f5e32', '5578bed0fb36c89c', 'd2a261ff1f2f061c', '0ff9bf7b8f816f21', '9e863a36ee9115ad', 'a8e32ae1b20ebcb3', '8d2c59bdb9014369', '71c5ee090c757584', 'ff9938339d5ad4fb', '2cdce95840a44fc3', '10bd859ba72ecad3', '6673eddee4bd795c']; context = [[45, 92], [0, 76], [4, 71], [36, 84], [42, 93], [27, 91], [75, 148], [1, 55], [66, 152], [1, 53], [78, 138], [109, 161], [1, 51], [10, 83], [19, 84], [6, 73]]; loss = 0.022614 low_pass_filter = 0.300
+Epoch 0: | | 42619/? [6:43:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 42620; scene = ['aa0ba67f0631699e', '9ee6e714caff3187', '1af60de5cf1e7263', '0f1a55d0395ae672', 'b15ab42715e8e5c3', '4988d7e7487387ab', 'ed8f111fe1e568df', '0bec7887227e806b', '34706332e0a4aeff', 'b4f1c364dfd74f3d', 'a503344a0808e68f', '2f76ab02ffb68493', '4e24bdd6f23afefe', 'c135de062e440f90', '9c0023ca3b8edbda', '45fd872cdda628c8']; context = [[6, 92], [29, 109], [102, 160], [13, 94], [74, 141], [65, 116], [100, 155], [17, 76], [25, 80], [2, 86], [0, 46], [0, 49], [7, 53], [72, 161], [16, 91], [65, 145]]; loss = 0.025329 low_pass_filter = 0.300
+Epoch 0: | | 42629/? [6:43:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 42630; scene = ['c1853d5840938ce4', 'b33a29e1340cb581', 'f7e30aedb1da3cb0', 'e5dca5e8131acc0d', '1287386498681744', 'e513de8cae71180e', 'ca2fe8b44e617133', '133d554395e41eaa', '5c6f91cf582708ed', '913fb4d757212f2d', '5843a30d98578bdb', '95abb7fcec549b2b', 'ee5ea1ea6d5efff7', 'a1b823b2106e429a', '3cabead051e0630d', '8fef2b61bad0d3d5']; context = [[4, 69], [24, 79], [7, 66], [14, 63], [27, 98], [64, 122], [58, 140], [8, 59], [23, 81], [169, 214], [126, 202], [14, 84], [18, 87], [15, 65], [11, 89], [33, 89]]; loss = 0.028040 low_pass_filter = 0.300
+Epoch 0: | | 42639/? [6:43:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 42640; scene = ['8539028ddcf147af', '12c4bf5b80f0ff46', 'cc36592f7efd1256', 'b39fb5a378831f09', '4388a350bc38c49e', '7fa1580879c18bd5', 'b0bab35b2ff1204f', '0fec740374049de6', 'af393f313dddf3eb', '8e390bd0d698e80b', '0c524e0e828d4b9c', '120f7e6b6ec6eaf4', '3adb92fd0ffe8477', 'd0518b41fe6e4c49', 'a393ccc9bbbde410', 'd1ab0b9a829427e0']; context = [[122, 184], [83, 160], [7, 54], [8, 89], [1, 48], [1, 75], [53, 132], [37, 101], [8, 88], [98, 151], [9, 64], [17, 94], [34, 92], [11, 83], [41, 109], [19, 99]]; loss = 0.030955 low_pass_filter = 0.300
+Epoch 0: | | 42649/? [6:43:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 42650; scene = ['d5835fb2f9cdf90d', '6eb91624364aaa65', 'd204a75d5c724077', 'b971447d48d42607', 'fd2dfd73f01c7262', '5258ae529f43e083', '9d225d862634015b', '85ccc785967a3105', 'ed4f0b586c17396f', '25f8fa5f70fc3819', '31ee350c3a69061c', '2178a852fea5c59c', '24e9073a5b74814c', 'ed1510746de8198f', '9672bf2513953ed0', 'e52f052d044d211d']; context = [[45, 102], [44, 114], [51, 132], [8, 67], [30, 95], [1, 47], [112, 175], [35, 87], [63, 125], [22, 78], [0, 53], [142, 187], [95, 152], [130, 199], [32, 93], [19, 106]]; loss = 0.027020 low_pass_filter = 0.300
+Epoch 0: | | 42659/? [6:43:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 42660; scene = ['5a1011ab86b77657', 'ac04f087ba9e9344', 'bdd33fa56672326f', 'fee1c997daddaf5e', '8ac4975d9a12b234', '42c32233f309708c', '99a34d6492f6ccfe', 'cd80c587743d9836', '808d34c910e9f8ff', '3b5ecc7fa7f0597c', '0b77cab786151df6', '985a81850d13edfd', 'f6d7dc72b9906e1b', '22c651e15b5d5339', 'eb25a67b8edf24dd', '8c662a617235e175']; context = [[37, 83], [0, 45], [9, 69], [53, 109], [13, 65], [12, 77], [198, 263], [2, 71], [21, 71], [4, 54], [19, 90], [151, 202], [52, 102], [43, 105], [15, 60], [4, 72]]; loss = 0.019539 low_pass_filter = 0.300
+Epoch 0: | | 42669/? [6:43:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000train step 42670; scene = ['24f7243394904def', '0c14e3a75d58b35f', '071eb67ff13bf80d', '1c71ba8b64ef1410', 'f0bda6f91712fd5a', 'ad2bddef36995b31', '16c47f696bf6293c', '1c5c50af69deab6f', '646a74f178afb3a6', '46963c14f11283e9', 'cee9ed612f34c4ab', '5999741ee444b48c', 'be94aa8804ada9ee', '934356e1b9fce75d', 'c855b40e5dd8fdba', '3ae750558a539cb1']; context = [[5, 57], [0, 56], [20, 100], [116, 165], [66, 146], [1, 86], [139, 214], [52, 139], [7, 96], [3, 87], [28, 73], [185, 236], [49, 105], [61, 132], [50, 135], [10, 64]]; loss = 0.026124 low_pass_filter = 0.300
+Epoch 0: | | 42679/? [6:43:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 42680; scene = ['11b228589e3142d8', 'fe2b27b75b492744', 'f248e7fc45f1d3f6', '6aad2eba073ae9c3', '7718b6a417bc4892', '0365970d6438b5f2', '0c0b98f2b5ef84e3', '5624dc46b3a25203', '8331d9c0babb8c1b', 'd23ed015a12e7251', '2468133d68c5d533', '220a754928cf7f7d', 'da3da5f97aa24859', '4f6f39192fe76d56', '990049215af89c2f', '2132707ef34d036a']; context = [[101, 158], [20, 103], [54, 110], [48, 126], [74, 144], [12, 67], [89, 177], [22, 94], [11, 93], [10, 77], [0, 48], [10, 64], [37, 106], [0, 68], [17, 74], [110, 179]]; loss = 0.080936 low_pass_filter = 0.300
+Epoch 0: | | 42689/? [6:43:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 42690; scene = ['ac56b8116af8c536', 'a56d066178264232', '57c4c871ad8cb634', '900771ff22868f89', '84f5ebc130318167', '2e2409e5ee0d8233', '9e58f95fd4a31468', 'ca9b53deb1359193', '5e6e2a1a1c382c52', '01a8c5f00e17623c', '78b144c459f5ff2b', 'ace25221c8b76123', '07f8f5682ad750c1', '43073eb89fa57d37', 'c7f7303fcbc52b43', '4068a60c400421e7']; context = [[44, 111], [45, 131], [71, 124], [27, 77], [4, 66], [3, 50], [15, 63], [4, 90], [16, 96], [10, 72], [172, 224], [11, 71], [0, 46], [40, 108], [75, 122], [14, 82]]; loss = 0.025074 low_pass_filter = 0.300
+Epoch 0: | | 42699/? [6:44:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 42700; scene = ['14771e11fb60d80d', 'de255a3948e5e03b', 'a9b14f8a4255ecc1', '4ba301a1a17dbcaf', 'c315f2398bb80995', 'ee72c2aaecc97c6f', 'a92a2144824ec5d0', '6ceef29d3cd6caf9', 'ab0df7dfba225813', '5fd4e49b87e4a570', '6a8abf8024d445e7', 'ecdfeafffcae9bad', '6cb26abcdbe1fb40', '2a4284701926a108', 'cf5a9d93df10f156', 'bb9481478f3f6d69']; context = [[80, 155], [58, 141], [3, 56], [146, 208], [76, 139], [18, 88], [14, 80], [5, 53], [4, 57], [0, 49], [2, 47], [0, 71], [6, 65], [93, 160], [40, 108], [189, 261]]; loss = 0.020452 low_pass_filter = 0.300
+Epoch 0: | | 42709/? [6:44:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 42710; scene = ['c57d46c213a2a46a', '6f3192180e6c9291', 'a6787dcd34b17cfa', '4e06000409ad97bf', '69e01d9175c24145', '6130665036744af4', 'ce11fac2d43ed83b', '3a00bf0557f697bd', '6e05907e3f19fd3c', '478a681c422cede2', 'f42b9fd27850d7e1', '0928998054c51877', '71eaf6a42c20b54e', 'd2bb35c8d33ed564', '71c8a123e9cdd368', 'cc3b2bb760ce5ade']; context = [[10, 96], [16, 83], [3, 62], [6, 65], [0, 85], [27, 96], [14, 89], [91, 139], [163, 219], [57, 129], [63, 150], [112, 196], [113, 193], [22, 78], [93, 172], [5, 59]]; loss = 0.074503 low_pass_filter = 0.300
+Epoch 0: | | 42719/? [6:44:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42720; scene = ['063cf0cd1ebf06d2', 'a295c966b22883f7', '37c1c5992b23c6d8', 'e6ad6e8999845115', 'c60ccf93cedc4519', '6818f4e7fa537488', '35c01de3f8a8239a', '27fb29e6808a6dc0', '3a37cf4cacf00acb', 'f98d3fb5b365336c', 'c3d002e9b4eb33d1', '9e70ce8046bae357', 'd05d33bc65e5bc82', 'ed95f4dca7ba49ba', '0fe8bd24289accfa', '4c80bb26bc9a9842']; context = [[49, 114], [52, 121], [7, 71], [33, 86], [72, 128], [53, 133], [29, 95], [8, 71], [88, 151], [114, 179], [29, 113], [64, 142], [3, 91], [16, 76], [17, 68], [70, 144]]; loss = 0.062543 low_pass_filter = 0.300
+Epoch 0: | | 42729/? [6:44:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 42730; scene = ['95e545a3708a9f60', 'e90b1b1f508baa0e', 'eeb46689a3c4f87c', '11d5d9cf24c24b4b', '66cdfce523fb462b', '9ba80b9dfd03d67a', 'a4af5e3b9ffa8726', 'f3d31f34aec130c8', '1c4245944a44dcb5', 'bb0e91571e079e65', '6050c60643284a5c', '537ccd2b76f1cc81', '9d80c1f7f8a6c541', '25ea1a4f7e159278', 'a3f6bfbd36edd888', '0404b811068d9c22']; context = [[21, 111], [9, 69], [5, 82], [52, 108], [3, 67], [13, 70], [5, 54], [93, 141], [24, 78], [1, 48], [4, 89], [93, 147], [22, 86], [25, 98], [38, 91], [59, 129]]; loss = 0.025972 low_pass_filter = 0.300
+Epoch 0: | | 42739/? [6:44:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 42740; scene = ['396206f7e9d27754', 'fcb5705e6f453b77', '77dd1e7595b8f9a1', 'ac2604ba635b916c', '729a45ca32c04257', 'b5460ab2cb43fba9', '02e51473f83c2da8', '3f1b91f60386c5f3', '1541443b0f9f6d16', '3b559cada02ade84', '1da8bba08ef5d022', '67aa2aa232d5369e', '601ccf10319e2f53', '9ba95d48eab6a0c3', 'e49ddaa35f090853', '07be1c41e6e00f4b']; context = [[5, 68], [2, 60], [1, 74], [40, 94], [84, 163], [0, 81], [193, 238], [20, 79], [7, 56], [15, 89], [42, 126], [11, 94], [29, 88], [206, 252], [20, 93], [13, 69]]; loss = 0.024969 low_pass_filter = 0.300
+Epoch 0: | | 42749/? [6:44:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.10, train/active_min_children_step=4.000train step 42750; scene = ['db470af007bc7d55', '1618aba66b56ab93', '3765a1ac3cf22a76', 'd0491d345e7f63a1', 'e59734f315bf7d1c', '61abdc0b0ffc4286', '207cc01069e6e480', 'f5a4f4af753c40a2', '7511aee8902bccd1', '627b0865de219721', 'e834fab2208f1db4', '78a509119f9abde1', 'f287b42b0894a220', 'fd8f13ec5e0af26f', 'c5584bf72d124d9d', '8772de948d685f01']; context = [[55, 119], [115, 181], [2, 68], [14, 83], [163, 225], [43, 103], [155, 244], [27, 79], [3, 91], [6, 60], [183, 238], [2, 77], [92, 148], [18, 87], [25, 78], [7, 67]]; loss = 0.032238 low_pass_filter = 0.300
+Epoch 0: | | 42759/? [6:44:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 42760; scene = ['90da26a5b04b69ed', 'd7afba0f3ab5b579', 'c0019ff8afeaf1f7', 'a3e68f2a6b87063c', '93598ff73741eb47', 'f79a6334f7f97c04', 'a802441c288b598f', '280d6636eae33dd3', '0869465945016056', '5b09360edfdd719e', '6c1c5a9b3c6db4a3', 'a842f67726ffd425', 'ca906f2b5011f907', 'dcd2dfbfa3ccc955', '19e98f4364ca5d4a', '9681c9508035e2b1']; context = [[36, 90], [0, 73], [13, 75], [190, 260], [161, 241], [13, 82], [175, 227], [6, 59], [15, 104], [5, 66], [7, 67], [23, 83], [15, 61], [127, 172], [7, 57], [10, 75]]; loss = 0.027204 low_pass_filter = 0.300
+Epoch 0: | | 42769/? [6:44:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 42770; scene = ['e38274129f29ce92', 'cb3bac70297d52c0', '95cd0bad15de18a9', '9a2d4c60e9585ed7', 'b7873e1ebdb5721f', '699dc0e0cbd1d2d5', 'aa801c6cfb72fdf8', 'c2648243586329ba', 'ff4fb430b2108b32', '2c3bc0c318fa3771', 'ea2343e4a390441b', '51e99330cbe8b36a', '04de1a4925ce16a7', '531dbcf740193f4e', 'd91217873eb2aef8', 'e25898e30a0103ed']; context = [[23, 77], [62, 129], [52, 123], [41, 93], [52, 107], [87, 154], [1, 46], [16, 85], [10, 80], [0, 65], [4, 66], [7, 66], [29, 107], [2, 55], [37, 121], [25, 106]]; loss = 0.025947 low_pass_filter = 0.300
+Epoch 0: | | 42779/? [6:44:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42780; scene = ['5f6cb93dc08fc1a6', '58278081778e848c', 'fdc8b395582432f3', 'a9a85280b420694a', '55500b9b8aa934a1', '844f5ac80c18d101', 'd99eaa0cc001ecca', '97c5606fdea6e732', 'dbbc84703e42d174', '5eba0adf88b41a12', '32853e04e84e9242', 'af342e32f4c696a7', 'e1730179fd86e4c0', 'b4297c92de82ba23', '6d26732ef60b81a3', '7a7bcb2dfd3f9ba0']; context = [[62, 125], [25, 110], [30, 82], [1, 74], [90, 151], [1, 63], [72, 145], [2, 55], [25, 74], [128, 188], [16, 75], [17, 94], [17, 66], [4, 84], [72, 159], [144, 228]]; loss = 0.027883 low_pass_filter = 0.300
+Epoch 0: | | 42789/? [6:44:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 42790; scene = ['0d29df52e52443e8', '9722a4675ef08f7a', 'b5a9d569512adc78', '7c6cff8643a2c250', 'aa6af775f4c69693', '25be53ace2fc19a9', 'e8d604150ae0360d', 'd3a667f950f7c572', '5ee57f2a8400b256', '377a26af83fd210d', 'da45e78b9132a88f', '051f0ec01ada8a1c', 'ea5a0447e990f968', '9694d2d9cf59b028', 'b2a5a5d457aac9e0', 'ac63774425412c69']; context = [[34, 109], [0, 45], [9, 78], [20, 87], [1, 58], [5, 67], [14, 62], [2, 52], [63, 131], [14, 96], [122, 171], [0, 50], [4, 85], [219, 277], [22, 96], [24, 93]]; loss = 0.022206 low_pass_filter = 0.300
+Epoch 0: | | 42799/? [6:45:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 42800; scene = ['3e96e8462ee68829', 'e7f0fa81b6ac98e8', '19e7c6800c29dd26', 'f9a7b128f1a9a805', 'f5d2bd420c2240ee', '15b1b675b5ec2f36', 'f37f5e9827bb51c3', '52947f8f9ecd737e', '0f90eb4fd4759709', '53cd5b776e73b898', '0b3c26c605ce9388', 'eca127496e1660ea', 'c6cf5bc481b73149', 'f5e1dd1e349fcc99', '94b4b22fc9ba462f', 'e1708ac5f3c9a691']; context = [[100, 147], [78, 135], [128, 209], [7, 59], [26, 91], [5, 84], [198, 261], [3, 75], [1, 47], [103, 165], [33, 113], [21, 78], [67, 143], [7, 81], [17, 96], [8, 72]]; loss = 0.023398 low_pass_filter = 0.300
+Epoch 0: | | 42809/? [6:45:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 42810; scene = ['2db98c7e8a6bb797', '8dc9967df5714acd', '2c6b93544964bc01', '3695aae861f18375', 'c78bdf20071dbd48', '281661f8dbfedd6d', '3cda064458c78e23', 'dc6e87688f3e9bb3', 'a964dd03dd3194a4', '9d1985c29dad84fe', '2c1e3f7af6fec6f9', '0be2cc56c1bce065', 'feff41b52966068d', '89ffddd7e0050957', 'd33060884405fb51', '328a73288962076d']; context = [[33, 96], [34, 99], [5, 94], [157, 219], [83, 153], [2, 59], [34, 86], [3, 75], [11, 56], [12, 82], [7, 60], [46, 131], [54, 144], [75, 131], [22, 110], [57, 133]]; loss = 0.024071 low_pass_filter = 0.300
+Epoch 0: | | 42819/? [6:45:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 42820; scene = ['8868360e57d02bf2', '7de0b83bf88c7e65', 'b77f9ae64dfbb8a3', '170da7aee449ff7b', 'bcbbce85468b13e6', '0ea03727e64c2e53', '68d0e78200de8dbf', '38d02514748fce78', '7567fe94d4fba9d7', '3d41895358e224b6', 'a0493b972780d9ae', 'dbbd2d62968c2aab', 'f12488eb2f36d1ea', '06c7cb360e434de5', '58ba43ed2adbd310', '74c2c2c5287346b6']; context = [[78, 156], [172, 248], [19, 69], [0, 76], [52, 140], [55, 137], [181, 228], [64, 119], [19, 68], [67, 138], [84, 156], [84, 139], [12, 80], [8, 80], [54, 124], [58, 129]]; loss = 0.023884 low_pass_filter = 0.300
+Epoch 0: | | 42829/? [6:45:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 42830; scene = ['4e726c834344b1fa', '5b0555ba3a6709bc', '33bde5a1119d0e83', '88f267c298030fed', 'ed3b85d5eac7be21', 'd7fd1af71b563b96', '14aa155881aa04a4', '0749505ed5eb06e1', '015f5a7965860c29', '63a7a59215cec24d', 'cc630b6a939ad1f2', '225ba5fd4f771aba', 'a924aad5ec2cfb5e', '37620819c4ca733f', '19b10eae955dd969', 'b9c5c7b6db633f2d']; context = [[27, 88], [85, 145], [5, 60], [141, 192], [39, 113], [28, 111], [38, 120], [81, 137], [16, 75], [43, 98], [127, 186], [3, 70], [14, 101], [10, 91], [1, 86], [7, 89]]; loss = 0.030270 low_pass_filter = 0.300
+Epoch 0: | | 42839/? [6:45:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 42840; scene = ['f35f4e214dcf6167', '04b592aaa9a9a779', '3738641d7c38b048', '97146039047ffd37', 'f273b89e74887758', '89f6084cce1f05e6', '0576ba3a47501d8f', '96292e5e47cc9fc1', '29327cb2e7a4f3af', '088aa8c10c5fd80e', '51c7623c73daaef4', '3dab79d6331a4331', 'e758c80eeb625520', 'd340521843cbbd83', 'd31e6aa8b1e23cf1', '50feecd89278780d']; context = [[22, 86], [115, 188], [26, 73], [4, 50], [3, 79], [33, 122], [0, 89], [84, 161], [177, 250], [33, 102], [100, 164], [42, 89], [186, 245], [38, 126], [32, 79], [12, 63]]; loss = 0.030896 low_pass_filter = 0.300
+Epoch 0: | | 42849/? [6:45:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 42850; scene = ['e0b0cf7daed6dd9d', 'c9d7a04aa04ce07d', 'a2802eff47145236', 'c34a90bb94522415', '0157375f8be4eb08', 'f1407fabdbb42f5b', '851c56423e13bfa1', 'd3cd37f926d8a6ed', 'a28cbb1b7942618b', '96505316a4f6a36e', '3d5aba046f430460', '51871f23bb65dd5f', 'a992c9caf06a70b5', '35b175d2b24bbb7b', '680269475a3d39bd', '32067753f8e8d4e0']; context = [[5, 63], [200, 270], [71, 139], [64, 122], [26, 93], [206, 263], [52, 134], [85, 164], [154, 221], [23, 105], [90, 137], [26, 93], [23, 83], [189, 242], [27, 105], [35, 96]]; loss = 0.026355 low_pass_filter = 0.300
+Epoch 0: | | 42859/? [6:45:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 42860; scene = ['e892b47d9040ac89', 'c536653897e9f3d3', '4cba1436a5f07e70', '85a4a22d86fc3b8f', 'ce417ca74c6ce0a4', '8efcb7e9a81c2261', '47a15e60ae728339', '00c14be5659b7fe5', '1297e85443bade59', '123139ea072008f8', 'f0178789444cd6ca', 'bc5f1d764f1c0257', 'e89671db250ccf4a', '7fd8856e57e2022a', '32ac33e7248c994b', '65f17c8a6c37e394']; context = [[45, 126], [1, 64], [108, 198], [104, 150], [11, 73], [1, 68], [51, 129], [55, 117], [17, 75], [74, 158], [45, 126], [10, 62], [145, 208], [143, 221], [5, 58], [2, 49]]; loss = 0.026522 low_pass_filter = 0.300
+Epoch 0: | | 42869/? [6:45:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 42870; scene = ['82d896f5142ee6dd', 'd42fb79e6ddf0627', '05c38d7f16dc06aa', '5991f9d30f08eb2b', 'bb24446f1907068a', '2caa3f930087b622', 'afa91cead971100e', '83d64185acba12c6', '14fc46941d622236', '61fb758f043a73cc', 'f30010298b7cb86b', 'f792272e396d1964', 'c3db550fbcb1f2b1', '51f33cc6d9666bb2', '9f3a66dc64d7fdc9', '162bcb36d182892e']; context = [[13, 76], [17, 90], [11, 68], [65, 135], [205, 263], [29, 94], [64, 133], [13, 78], [4, 84], [157, 245], [44, 95], [24, 104], [1, 59], [6, 70], [4, 71], [99, 162]]; loss = 0.023162 low_pass_filter = 0.300
+Epoch 0: | | 42879/? [6:45:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 42880; scene = ['756a0a00121f53d3', '4af0acc8924f8df3', 'ec719970f17f2eed', 'ce31e33f156aeec5', 'e599e584e54fd42b', '1ea972dad8710e4e', 'b6d22d6bd307cc90', '7111ae9755f6fbb2', '9687e70e5f4eed37', 'b7b258cdbcf3f630', '9cd273b7847a34b3', 'ed6e2f71b738e102', '29b6779871858fef', '1e0843e68da6ff84', '221bdcfb2013b215', 'eba5a5aafe96bbdd']; context = [[73, 119], [6, 71], [14, 60], [21, 100], [1, 67], [42, 127], [42, 98], [24, 96], [34, 115], [49, 110], [32, 85], [8, 83], [83, 132], [0, 57], [0, 62], [62, 117]]; loss = 0.023850 low_pass_filter = 0.300
+Epoch 0: | | 42889/? [6:45:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42890; scene = ['5b15a977216d003c', 'fb28d4ee3fcd32fd', 'c502a410bd03dcec', '61f7065068ff3349', '3cf7dad69eaefee5', '172116f30fd7fcae', '07e0d8c990641601', '7a9bc32b9c942fad', '3578ef18ecb5da3d', 'db8a82af65abf86b', '0a01275bf1cc1246', '61fde5ff3ba1a75a', 'f7a49680ebfc586b', 'e1213b82a155e7b8', 'bb0e27ec75bf779f', '85aeab205d5c7e66']; context = [[1, 61], [109, 164], [49, 123], [7, 92], [109, 176], [5, 53], [110, 184], [27, 104], [1, 46], [3, 85], [1, 54], [1, 77], [3, 50], [5, 52], [56, 120], [170, 254]]; loss = 0.022234 low_pass_filter = 0.300
+Epoch 0: | | 42899/? [6:45:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 42900; scene = ['164c9b475bde366b', '56fe7c0a0a936008', '37ec45c355dafd52', 'ae287783529a312f', '77c03290d901ec15', '946f8b76aa5ffa37', 'a0438ace9b7619cf', '9176677777da9d07', '2870538dbc6f5d1c', 'f54731b471e7b2e5', '6ca39802dcef328e', 'c7c6c4112a3badf3', '827c5f3b3886553d', '04d6547f76c82882', '1136264929a1c20e', 'e616312de3f164bc']; context = [[109, 163], [2, 81], [8, 57], [3, 79], [52, 128], [43, 98], [12, 81], [17, 77], [46, 100], [98, 157], [2, 49], [42, 107], [81, 134], [3, 65], [10, 92], [5, 53]]; loss = 0.024542 low_pass_filter = 0.300
+Epoch 0: | | 42909/? [6:46:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 42910; scene = ['1c2cc296902ee8ae', 'b14c7ad01174f831', '1d1a2d85e494003b', 'eeb6c11a957a10be', '1dff7f35c705b463', '358debce281c8f2f', '59db4a6c5b9f2cf7', '356e2b03d743a4eb', 'a60716af5ec0e3ef', '324638d0f0947345', '0e0a0ac08ac3e1e0', '7227ea629f2cc6c9', '097049e07065fe6d', 'da410afe2c964b37', '78162a0cd3f50a08', '0535a1c8f3ff090a']; context = [[3, 90], [40, 85], [1, 69], [25, 108], [29, 111], [62, 143], [2, 55], [83, 157], [11, 63], [152, 214], [50, 101], [122, 209], [27, 73], [5, 93], [12, 57], [19, 77]]; loss = 0.027278 low_pass_filter = 0.300
+Epoch 0: | | 42919/? [6:46:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 42920; scene = ['8b3780acc3a50b68', 'a07efc76f8c1e3c1', 'b712b3811dd7e165', 'bf3e9ddc696efbc7', 'dce67bdf972fe9c3', '362b3e11a4f3d6bc', '30635ca8f58d53fb', '8e01007ac5b9a2d4', '5c7e81ed74cd0615', '711049f79f182de4', '5e28f56e00a41125', '64596f1845d89dc2', 'f1b5a6dcfedb390c', '783cc6843cfac78d', 'c51c7bc0c8151abb', '6e46379a7ad5ea92']; context = [[108, 192], [96, 158], [41, 114], [135, 195], [42, 112], [17, 69], [13, 90], [101, 183], [0, 45], [11, 73], [5, 67], [114, 165], [28, 87], [88, 133], [0, 74], [86, 146]]; loss = 0.024354 low_pass_filter = 0.300
+Epoch 0: | | 42929/? [6:46:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 42930; scene = ['8f85d318571f0d5a', 'ffde5ed690a9fb48', '8af19f867088ad89', '4001283461bac478', '3d857032268957c5', 'bb3f4b8c39aa0f9f', 'f8d3ad05afe92b39', 'f99052aa7f75d58b', 'cdedebc7404b55c6', '5e4b0194308cb338', '21dd673017056093', '0914ab351ada6998', '5d021215098f312b', 'ba8683c7d9392cae', 'a157e3e707b308a8', '42c0257c36a9e803']; context = [[0, 45], [26, 116], [15, 96], [64, 125], [57, 121], [96, 165], [10, 72], [81, 136], [13, 60], [4, 54], [148, 216], [3, 56], [24, 74], [39, 90], [10, 81], [2, 90]]; loss = 0.024392 low_pass_filter = 0.300
+Epoch 0: | | 42939/? [6:46:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 42940; scene = ['7709edd1d8cd1946', '862f559e6544b4f6', '81be8d1f05e32e8c', 'efe518cb76665511', 'bbac08082d5d47ff', '87566ad86aab444c', '166ab757ce15befb', '607189d95ed54ab6', 'e4bbe64f8760c542', '8c2fc2e12d07c3a4', 'f83aad93553a1fe3', '7e5ffe689e89b806', '61e4f28043ada40a', '6ca890904770aebb', 'e923507f19f5cfba', '00980329a3221f1c']; context = [[2, 85], [35, 80], [61, 135], [32, 89], [58, 128], [23, 71], [36, 101], [83, 133], [42, 94], [6, 80], [74, 154], [1, 48], [3, 59], [129, 181], [3, 86], [0, 61]]; loss = 0.023113 low_pass_filter = 0.300
+Epoch 0: | | 42949/? [6:46:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 42950; scene = ['31411305ea3662c6', '9a89163b62f0a058', '3bee0daad1cc6c0b', '5e916cc9972aa61b', 'b9277bf4125499a0', '2950884335bd243c', 'be885aa875712dde', 'db9bc0ff275d4fbb', 'cf784e584d2d33da', '8663906248d346cb', 'ea4fb83f87109ac9', 'd29ff797dbc69ab5', '594a53a4007ff3ee', 'c10a042037a5a120', '0016d89da2d78196', 'fc5c4244dd42b9c2']; context = [[49, 117], [154, 212], [3, 73], [68, 120], [112, 187], [60, 116], [22, 106], [73, 135], [8, 54], [44, 91], [32, 90], [71, 146], [4, 62], [19, 76], [111, 164], [11, 100]]; loss = 0.026763 low_pass_filter = 0.300
+Epoch 0: | | 42959/? [6:46:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 42960; scene = ['15cdc58fd7076c73', '8df6a8f9f01e468c', 'd810f4eac26218ac', '9f0eb311381bcfe8', '9a96e3934ac1f20f', '8b9ec683f13ccd82', '8532e67cc838fd57', '3e5be5ea98eca2ec', 'd5200e6507f07d30', '89182bbf4b3f1b98', 'f86b62c904dff358', '441bf05cd0218e09', 'd307fd3627868961', '1096d576fca73995', '8eb11b08983f5781', '6d17cd15add9aff0']; context = [[35, 82], [9, 89], [3, 83], [43, 91], [4, 67], [3, 81], [15, 75], [3, 60], [42, 111], [27, 76], [0, 62], [46, 92], [72, 152], [29, 89], [2, 58], [0, 78]]; loss = 0.027021 low_pass_filter = 0.300
+Epoch 0: | | 42969/? [6:46:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 42970; scene = ['ed61b288e9b09a03', '08866625f34ea7da', '3fe88d40aa66d61e', '0000cc6d8b108390', 'b66fb806ce03f4b4', '44a06a79451f1d5b', '2e26fef30ca12494', 'e3d743c0a3aeaae2', '319a31f5b39470e3', 'bdca46414cff3a7f', '74b722de71061ce5', 'a9b9180673bd7d49', '7f97434269dcf098', '76b8f8f5934a4cee', '66763e1f9feda3a1', '3954a34db791a545']; context = [[17, 75], [58, 104], [15, 81], [141, 201], [29, 115], [2, 64], [111, 166], [85, 170], [78, 158], [7, 66], [4, 63], [16, 64], [3, 87], [36, 105], [13, 95], [14, 75]]; loss = 0.023006 low_pass_filter = 0.300
+Epoch 0: | | 42979/? [6:46:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 42980; scene = ['2ae43ea35e770eb7', '7086b238d97bd8cc', 'da3e37eecbffd10a', '73211a2450692b43', 'c053559c523e6708', 'e18e70c8df6d6592', '59d773c1b4f4dfff', '76ef0b2f5bee6d73', '9b8fd789ba8b27ca', '41b343385bcd830c', '06517d6ba13f0022', '3afea6460cfb4f15', '7bb0a3af8524ed86', '7022a0fb6e6386cd', 'e754578fd748a51c', 'ac507b8e32118dd5']; context = [[3, 67], [18, 71], [8, 66], [42, 97], [62, 109], [7, 97], [180, 267], [1, 71], [12, 61], [95, 146], [188, 274], [3, 58], [0, 49], [7, 80], [4, 69], [17, 74]]; loss = 0.027530 low_pass_filter = 0.300
+Epoch 0: | | 42989/? [6:46:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 42990; scene = ['d0e63520730f5afb', '9d5a2987d8c40f04', '2ec0006a9574c477', '7678178333c89640', '5a56b75ac75a93a8', '51f633fd87dee5a3', '4d11b8a54ca3f310', 'ce02a33915d0b0d4', 'e3f35f5e469a2642', '7877153d7b11265a', '95e2d1a9e6e1ce77', '53d3a781a7db7cae', '7c1d6f3dd9542cc9', '9bc6fbf248bc726e', 'a59d4fe567e33cf0', 'eda5afc31e72fa07']; context = [[166, 253], [0, 62], [11, 62], [2, 92], [25, 89], [38, 107], [69, 156], [6, 64], [18, 102], [5, 69], [10, 70], [14, 101], [63, 140], [2, 82], [43, 115], [33, 99]]; loss = 0.026557 low_pass_filter = 0.300
+Epoch 0: | | 42999/? [6:46:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 43000; scene = ['0f928aa808268e96', '8b60b394df2a9220', 'de1b480f7479ad7a', '4a7229184d136690', 'b7f4f08c3ee747cf', '7c1c07c77d39e0f9', '2f1f43ea5b2766f4', '77659febf946d8c0', 'd49b4fa7b43fc10c', 'acffd6c013609d84', 'aca30770bf5b5ac5', 'c0198b11cb05329d', '1a98c811762bdead', '244ef5363d5600da', 'bf202c2307040974', '2a2334b39a65d2aa']; context = [[2, 90], [20, 65], [116, 189], [15, 98], [0, 48], [2, 72], [0, 78], [74, 153], [70, 137], [74, 131], [205, 270], [11, 93], [14, 73], [21, 72], [188, 259], [17, 63]]; loss = 0.027292 low_pass_filter = 0.300
+Epoch 0: | | 43000/? [6:46:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000validation step 43000; scene = ['7eb15ceaa1029944']; context = [[103, 156]]
+Epoch 0: | | 43009/? [6:47:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 43010; scene = ['c7a425192f633774', 'b2569229b71e0bf8', 'd807cc0cdc241ec3', 'c85455aca12c82d7', '0ea6cb5416dfeb41', '0c1ac606620e5238', '22cbdc156eda0b37', '785c577c10d1cd0f', '940c0485e5b7b5a8', 'd683f1b0a075297c', '4c348950840d382e', '2e5f485606a7ce83', '3eb933c3d09e01a6', '4b0fdf86c6cac027', '64626bd202f2254c', '69ae4d9c04b6847f']; context = [[77, 144], [1, 51], [1, 69], [9, 63], [66, 127], [26, 79], [41, 103], [6, 82], [196, 276], [3, 55], [97, 181], [91, 140], [12, 67], [8, 64], [43, 106], [56, 125]]; loss = 0.024764 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 43019/? [6:47:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 43020; scene = ['971586ddd0d6a4c7', 'e54d2bab1d8c3eb7', '3de78a7d8061257e', 'f7c60ce5a286c245', '2e791e46ea69f1e9', 'bb899c81713bdb22', '3e983363b5c730f2', '96a6ec4c056744f6', '511a709b7ffba3bf', 'bf2160e6311b9f9f', '5c8cb60ed82dcb13', 'cc4736d813cd7be5', '9de17b1c2e87f15b', 'df6c10f80caca76b', '8cee033ad88550f2', '7eb30b2520ec249b']; context = [[5, 73], [115, 185], [7, 69], [0, 54], [74, 126], [66, 113], [219, 278], [123, 179], [21, 97], [52, 142], [19, 94], [79, 169], [20, 109], [68, 134], [0, 67], [187, 251]]; loss = 0.029999 low_pass_filter = 0.300
+Epoch 0: | | 43029/? [6:47:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 43030; scene = ['9e732e959082a6c4', 'e381359e340285d0', '4f41e6b2c7866cc7', '764281da53fca2a0', '7bd870f9b2a9a6f7', 'bf09418608207a23', 'da3b6adaf492411a', '53be81693f0a2322', 'a52873b76bc23753', 'c084573502466243', 'e4d6ec2508bbf420', 'a3655a06595bfb29', '450a7534d76e1d77', '3d0e037775a94dad', '57ef0c24d90eb0ad', '9c6b4263d2b5bf61']; context = [[4, 75], [19, 101], [12, 82], [7, 67], [57, 109], [0, 77], [1, 46], [17, 105], [106, 170], [69, 150], [72, 137], [77, 148], [53, 106], [72, 136], [14, 91], [15, 100]]; loss = 0.031791 low_pass_filter = 0.300
+Epoch 0: | | 43039/? [6:47:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 43040; scene = ['c275da1b07699d82', '80e84c3133ac54d0', '531e56a1ae5c1045', 'f99e55f59e21e131', '71f669a7f9590da8', '0fa0f0288005bdaf', 'dbb2260383173238', '8f15d621211d0cf2', '54f675ec7c77eddc', '524021c246a1488d', 'c97f679a709b82c6', 'da635272c8a2b142', 'ec4e714f7395a1eb', '6a089ad9ba7da80d', '69bc465e5a422357', 'acf5370b7f9982b0']; context = [[0, 70], [98, 178], [5, 91], [1, 49], [10, 70], [65, 134], [20, 108], [4, 57], [139, 229], [27, 83], [90, 160], [97, 143], [141, 189], [74, 123], [95, 174], [90, 137]]; loss = 0.021993 low_pass_filter = 0.300
+Epoch 0: | | 43049/? [6:47:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 43050; scene = ['c0745c462e0dfc6f', 'b7bb9c160ac5e0f9', '59e466387c85c213', 'a55f20d7bed0758d', '3d00778f45626985', '008caa6df1da0cd1', '27f2c5d07c2eb595', '92e8d8ff5ffd7c72', 'f9acc10370d2e6af', '0e320b46c75c20c8', 'a557eb3b4761195f', '174b844436d59158', 'a600ca6d66d0a794', 'c92fb8581dd241e4', '7898fefb2a4f8bbe', '913e0ab310fa1d5f']; context = [[3, 69], [10, 64], [0, 50], [12, 88], [154, 207], [21, 90], [1, 81], [12, 78], [15, 91], [96, 166], [2, 67], [0, 65], [88, 154], [10, 56], [18, 73], [33, 93]]; loss = 0.027780 low_pass_filter = 0.300
+Epoch 0: | | 43059/? [6:47:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 43060; scene = ['d510619771b2dbb1', 'f7ff5b1477f82169', 'd470875e58c39c58', '0e3e75ce2921bc9b', '755a833b56e0f079', '5747f4b140d83aa4', '87b4a6264698ec22', '31635ff9a2e3ccc1', 'dde473074941ed5f', '4e66b9803173ed3d', '53dd8f88f5a8df75', '5671fc8bcb5c086b', '8f3647ba2a7208d5', 'c51f5219c3d09e33', '5111c7e2b993a59c', '5f6dff31cfdd1827']; context = [[23, 78], [1, 82], [21, 89], [20, 88], [8, 59], [57, 129], [22, 69], [106, 178], [201, 247], [35, 84], [76, 154], [23, 73], [1, 65], [1, 73], [3, 69], [37, 102]]; loss = 0.023426 low_pass_filter = 0.300
+Epoch 0: | | 43069/? [6:47:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 43070; scene = ['50c673c4f63de8b5', '3d1834e1cb8a0a56', '47081479d4cd912f', '298229a37fabd908', '1706922b35a131c1', '5ff49d7da5abf152', 'e321918f2c1dad3d', 'ece875e12fa6f3e5', '11d1412ed987535d', 'fac49f6dbe07e555', '7e3f87e5affd253f', '73642405c8a49400', '27eccfe9c3c099bb', '3d577e0b974e4a66', 'b037d86705ba0f82', '5585e334c7d27d2b']; context = [[40, 86], [8, 63], [66, 116], [0, 45], [28, 85], [0, 69], [20, 93], [0, 79], [7, 75], [5, 64], [1, 75], [64, 128], [2, 84], [11, 56], [15, 89], [13, 92]]; loss = 0.023667 low_pass_filter = 0.300
+Epoch 0: | | 43079/? [6:47:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 43080; scene = ['e45c9f66012ef731', '5ecd4f2761d9877c', '91ce38958fa8ee3e', 'daf3b5445dda23fd', 'ac0a5fb83c20516f', 'fd2c850e3620104a', '55ff5f5024b9f532', 'f818a2808c5d168c', '69c1746d1fc7c807', 'e485f3bd0dd46f04', 'd7d8e8bc060b6ce1', '51c1d0c26b7307b9', '60b23fcb19992892', 'b3aa335a5095564b', 'cc27e607dbfdac8f', 'c577c31302675f04']; context = [[83, 138], [173, 225], [14, 74], [1, 55], [2, 70], [140, 230], [3, 80], [3, 58], [26, 115], [47, 97], [4, 92], [18, 77], [33, 78], [3, 49], [0, 81], [77, 131]]; loss = 0.029485 low_pass_filter = 0.300
+Epoch 0: | | 43089/? [6:47:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 43090; scene = ['4b91e3d10a227be5', '50b2407be378b2cb', '35e10408a07458fc', '52c7f7de545e4b71', '6310e828b3588296', 'c2c61e3082375bd8', '32dc706b5277e8a4', 'bf8ad1259257dc45', 'f545152700b96263', 'aae62c9143d59bf0', '331ef24c06150099', 'd88fa63cc32b7683', '6c0ef012029b30f2', '0edd08d42e5a2f9f', 'fbf755394908a06e', '2898d4c76acafed9']; context = [[69, 144], [14, 64], [1, 83], [10, 57], [46, 113], [69, 137], [80, 125], [3, 65], [0, 45], [159, 239], [19, 89], [7, 64], [21, 99], [154, 241], [54, 132], [11, 99]]; loss = 0.029487 low_pass_filter = 0.300
+Epoch 0: | | 43099/? [6:47:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 43100; scene = ['903cfed1bcaee645', 'ba8254c9d0eb8a6f', '8c83c56bb3632a8c', 'a1d7341cb3041276', '2726f059d69c25f4', '1b8abd07e10f4e79', 'bc67854fca5cdac2', '122d66974706d78c', '31ba0028326b8b17', '6515de6c81e7c80c', '59e04cb072686a97', '3a13e56691c8396e', '5f45c360d76a3b12', '50c7f40e49739339', '3836fa3dcc6aacc6', 'f81c1b6ddc6962a0']; context = [[1, 49], [47, 109], [12, 82], [97, 165], [7, 97], [21, 104], [17, 70], [59, 131], [12, 89], [2, 69], [49, 105], [43, 93], [18, 86], [39, 88], [4, 50], [38, 107]]; loss = 0.020312 low_pass_filter = 0.300
+Epoch 0: | | 43109/? [6:47:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 43110; scene = ['e9feab62e5a92e81', '7e709a5a25a8425c', '46d5053d66888c5c', '4e2cb10509f33a7a', '64d29c9ab21dc5fe', '541275236e1e56fc', 'de561e02e852ac64', 'cf4a0213f57bed85', 'c1d702f24b2f7bfd', 'ab7f018f21bef342', '2cd702dc4fdef4a4', '7d7b8d02fa56e811', '642cf78c4fa0ef61', 'e7dfd4fc097e0d5a', '89dbf48fc8772aae', 'cd83136b559517cf']; context = [[110, 159], [108, 158], [70, 150], [3, 84], [8, 71], [7, 61], [90, 153], [103, 163], [2, 58], [1, 49], [34, 90], [158, 222], [23, 76], [140, 199], [64, 117], [3, 63]]; loss = 0.027527 low_pass_filter = 0.300
+Epoch 0: | | 43119/? [6:48:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 43120; scene = ['840394639a2b1320', '53a4687fe4c80864', 'f8c51265453ae30c', '71b33347677e1207', '40ed2cb104667242', '78bf4639eab831ff', 'f8c1caf3eab5b16c', '5cc16e3f7aaf0112', '4930a1bdadca5861', '9e1a163a4b26ae11', '43e55c2dea6145d7', '3bdcf30a816f96f5', '82b9f261da55d52e', '31e356b9fe421e30', 'c257137f595faafa', '5124f62ded6ed532']; context = [[24, 79], [2, 80], [21, 76], [216, 269], [2, 81], [153, 210], [37, 92], [31, 89], [4, 53], [0, 73], [25, 92], [7, 95], [0, 68], [3, 70], [1, 46], [37, 95]]; loss = 0.035018 low_pass_filter = 0.300
+Epoch 0: | | 43129/? [6:48:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 43130; scene = ['2bf395f4a1046810', '912bd8af2638b94a', 'b3948b46c43ce90f', '0badb8c0dfa8d328', '5d02873ad626d986', '9453fa28dfd12dfa', '78dff24134373857', '2cfc0d81293f8b81', '87e825ae30a124de', 'b62bfc8b7c12625e', '3c5242b434fdef8a', '0ec6f123efb145d8', '066e63a6755acf80', 'e1ae2b9820f7ade0', '23641024d1eef774', 'f0c43ca3fac625a1']; context = [[173, 245], [84, 163], [110, 161], [176, 236], [71, 134], [51, 120], [2, 75], [40, 92], [69, 114], [203, 249], [66, 116], [159, 234], [0, 59], [0, 68], [12, 93], [35, 96]]; loss = 0.023875 low_pass_filter = 0.300
+Epoch 0: | | 43139/? [6:48:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 43140; scene = ['ad7c9253e7d65d04', '39a2e6d8f621cf32', 'e7c1d9d2e45a2d28', 'e3724fcddb4e902b', '8671d2e1c7136668', 'b8655d4d9aa7c683', 'f8c20984cae1a403', 'f0c29577a92bfad0', 'f57ea5136da9cd92', '0a5bf8a3d858f282', 'f3b995e8f9462516', 'f5465b7e3e63562b', '3611b0062e270442', 'f0b0d2b30ffdc3ee', 'e32edfa8b94975f4', '3725b3e558929f1c']; context = [[19, 66], [48, 97], [68, 150], [60, 117], [0, 62], [6, 66], [34, 91], [17, 68], [69, 144], [1, 70], [40, 104], [20, 91], [28, 115], [15, 60], [50, 102], [26, 77]]; loss = 0.023262 low_pass_filter = 0.300
+Epoch 0: | | 43149/? [6:48:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 43150; scene = ['d708ed30abecca79', '0a610a129bdcc4e7', '4e31a74c326af096', 'e2c42c4361fa6ab8', '7b7be5f8bfa1173e', '914c3efa325a4afc', '7452907ecdaa8596', '6b30b0a24f895314', '34fb19cc7ed5b0f9', 'b21393eccec63de1', 'bdb75944385bde23', '2d366ded90859075', 'a1f824e305dab929', '69321bb9baefbdd1', '8fdc56361649abca', 'e95b6eeabd6d31d0']; context = [[5, 71], [61, 143], [129, 183], [5, 78], [24, 83], [86, 165], [101, 147], [126, 172], [40, 96], [37, 99], [28, 81], [178, 267], [3, 67], [15, 84], [1, 84], [37, 120]]; loss = 0.026820 low_pass_filter = 0.300
+Epoch 0: | | 43159/? [6:48:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 43160; scene = ['4e3112764dbd9862', 'de0d6a8a41cb09b8', 'd68d3f0ad69e8ab8', 'f46ccfe3474b9dca', '74e8bbc4737ef761', '36eeea12dfc36430', '24fdac454bc8b3b0', 'c3120b358e2ef0eb', '796064d2460d5507', '9de4a2f511920a69', 'd14f895ef004feb7', '5af2629c46a31259', 'a8b97f30e900ed13', '48129b8304e7e807', '1a565ef44363e64c', '8e605cf190082bc7']; context = [[26, 101], [33, 90], [12, 64], [62, 110], [20, 69], [36, 82], [95, 144], [52, 106], [12, 67], [3, 85], [16, 74], [10, 87], [5, 50], [25, 114], [11, 78], [0, 81]]; loss = 0.022931 low_pass_filter = 0.300
+Epoch 0: | | 43169/? [6:48:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 43170; scene = ['eb07f2be65cd3ef9', 'a5a8e6a3d35a22c8', '144913b1e5d43257', 'cffffa4c0548a72d', 'fbc3668b9e73950a', 'df662bb3e944a8db', 'f4e703d23e3cd7b1', '2da17464ef895b63', '513aa200a2b07a1e', 'd1ebaa99e640cd7d', '789a1573a8a7f5a8', '4198c7129a726cf5', 'a640a55439a43108', '190dc10200a1049e', '077a814db8619777', '39537fd202eb32b3']; context = [[0, 45], [7, 86], [22, 79], [98, 163], [6, 65], [0, 45], [26, 101], [14, 63], [18, 65], [32, 81], [112, 158], [11, 91], [50, 128], [8, 75], [20, 98], [24, 98]]; loss = 0.022896 low_pass_filter = 0.300
+Epoch 0: | | 43179/? [6:48:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 43180; scene = ['8bf01fa3d703d54e', '142af18c2b5f0145', 'c2c37a6bf0a12e0b', '1c966db883c0b9f6', '852f866007866388', 'a950d4448837f574', 'afad90a8ee12661e', 'd5071670e0c38441', '158c7dda2cf0765a', '5db1f93559662c33', 'ef9f95673c607cfc', '9c6f712cead21584', 'c200cf8e0f790a5b', '246d7efd306d3317', 'af3fb667751c8a50', '91e36f2d0b1180b2']; context = [[37, 95], [177, 261], [168, 230], [96, 149], [28, 110], [0, 47], [17, 100], [25, 92], [20, 82], [6, 94], [1, 71], [82, 156], [0, 90], [14, 89], [0, 46], [10, 68]]; loss = 0.023086 low_pass_filter = 0.300
+Epoch 0: | | 43189/? [6:48:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 43190; scene = ['26f14525b77ae661', '59900f1fd9d060db', '7b47efdd91a80bdd', '17d44006a4595567', '205b22cbaf84bf3a', '3f367e5ae2e8a057', '4e67afbcae5c4887', '0cbef6047abffe2d', 'a0867ed5680ab015', '58aec0707d094569', 'd34fb0e92018e2a2', 'da127d5d82256afd', 'db062134f9dec5f1', '7db4ed902d003a63', '5d244ada6c250442', 'a9070de00e86feea']; context = [[203, 261], [43, 118], [16, 66], [4, 53], [1, 70], [5, 57], [0, 81], [0, 45], [93, 160], [51, 112], [0, 46], [20, 78], [42, 103], [95, 164], [8, 61], [26, 109]]; loss = 0.025122 low_pass_filter = 0.300
+Epoch 0: | | 43199/? [6:48:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 43200; scene = ['37d9966442c8f4a2', 'ec15da6be3f66c37', '29a5e76da0fe508e', '3e07007116856015', '9a45995c95b9df54', 'b4552394fff24c7b', '1e90fef135df3208', '33a7ac7a336c62ac', '98fb604e2b221457', '9619b46c5d1be789', '9e59ae705591e046', 'a64bc1a231c44593', '359f5288f9335f3c', '55220b468b64ea7d', '7af3ae39bafa42ca', '02dfa1c2784f08eb']; context = [[96, 169], [12, 91], [0, 48], [101, 152], [160, 230], [1, 53], [65, 125], [19, 75], [2, 47], [0, 70], [122, 169], [133, 199], [11, 89], [16, 82], [53, 102], [25, 86]]; loss = 0.029144 low_pass_filter = 0.300
+Epoch 0: | | 43209/? [6:48:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 43210; scene = ['6528b83786c46e7a', 'eaf0ed1633d82698', '4aba3469d1ffa652', 'da23aad097fb5249', '6d810108226870b2', 'ff936f48ab11cfac', '4e9cc75a8c16e6d8', '71a59f19bca97b74', 'bf85bb00ee815c33', '874d515726ce15ca', '0621379994686889', '9a0d8f16dfe38363', 'd0348d9d77d5db6b', 'fe171f90f688619c', 'a51b891b131020be', 'b4cbe1753e9d2ae4']; context = [[31, 79], [49, 131], [1, 58], [6, 53], [50, 111], [40, 110], [5, 62], [24, 76], [30, 115], [23, 87], [35, 112], [164, 238], [0, 74], [16, 61], [12, 96], [132, 212]]; loss = 0.033861 low_pass_filter = 0.300
+Epoch 0: | | 43219/? [6:48:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 43220; scene = ['eda215a16c061de4', '5744a176a9fc4534', '428542643720618a', '3c67fba20c78c21e', 'f3793c990ac5465a', '03802d32fbbf0c9b', '55cb413872623381', 'd1c64e750c7577d8', 'e294b6a633246ed8', 'a68112570746fce2', 'b60bd0b7724eef6c', '08ba91736b9b2a17', '2b36862276366c49', 'b2f641567a21c670', 'd08a17e8ed283bf1', 'fb58d803ff8567b2']; context = [[109, 184], [53, 109], [10, 92], [0, 67], [23, 113], [5, 58], [2, 63], [45, 98], [0, 70], [1, 86], [23, 68], [52, 139], [1, 71], [87, 153], [80, 148], [53, 101]]; loss = 0.028512 low_pass_filter = 0.300
+Epoch 0: | | 43229/? [6:49:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 43230; scene = ['25280e32ba676f03', '2629da604e80913f', 'c04814a993082566', '2c233ea19f5a5f34', 'bcc00e27ca39c0e0', 'f48e3fb895bd459a', '8b06df9786bd4aa4', 'fab2da62901db99e', 'abca120df6b75dbe', '76e66bbabbfd20e0', '53ee9e513ce2bbd3', 'a984a212ae86b726', 'b6a9bc7b9e0ddd26', 'f69d162a045db893', '16cf103f5cb7dc61', '697f19af3b7bb831']; context = [[0, 45], [8, 69], [5, 72], [31, 104], [18, 81], [16, 97], [149, 203], [0, 69], [86, 145], [16, 95], [10, 99], [3, 77], [0, 46], [50, 112], [0, 61], [6, 64]]; loss = 0.023905 low_pass_filter = 0.300
+Epoch 0: | | 43239/? [6:49:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 43240; scene = ['9bb3b26e38d6787e', '2771e4e5791527b6', '0db598812d56c68a', 'c4ffdc6886c6cb9b', '8743d6f5a3c7d7d4', '38464696d7b9cebe', '0350c9c065456337', 'db8076a9bbb03e9e', 'c3d7c6b0a2f4961d', '28b23bd8cc4b5cc9', '24a3779576222a94', 'cb4e1239c00db508', 'b3698fba681b1429', '8e12adaf19e58a53', '5f6129348cc047df', '77c48da8f803ebce']; context = [[62, 146], [13, 76], [34, 91], [54, 124], [115, 190], [73, 119], [13, 100], [2, 90], [4, 74], [51, 139], [9, 54], [3, 56], [18, 81], [15, 80], [168, 251], [1, 70]]; loss = 0.025581 low_pass_filter = 0.300
+Epoch 0: | | 43249/? [6:49:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 43250; scene = ['67b2f1c002c84aae', '210b45452952e838', '177e02752605973a', 'ca87a70e313be9ae', '33f73227a2a67557', '753ad3e1d6a005bc', 'e5c25f8e979ee3f2', '4ac08235a21e27a7', 'f8d97e84b057c5fa', 'f98d30de8dd12bdf', 'c34a80c8baee9a1b', '863cd9e3c3374c17', 'dfbdc15546c94452', '5d078b0df0aba401', '0356f20494f9dc73', '49a7ca8ab07f5959']; context = [[1, 55], [12, 97], [7, 56], [34, 89], [21, 74], [115, 173], [24, 103], [13, 58], [90, 177], [3, 49], [1, 74], [69, 140], [34, 114], [15, 80], [69, 142], [15, 71]]; loss = 0.027858 low_pass_filter = 0.300
+Epoch 0: | | 43259/? [6:49:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 43260; scene = ['58e001030d942c55', '408c3d33681fb78d', '5292a799b6f08483', 'b62e9605955c06af', '495f43228d58ee0f', 'e984993558178156', '105174be89a2dedf', '3d3071a3081b6611', 'f6d99b98c43d1c51', '18d2d38e04e4510a', '25fc725784a63284', 'ccc8e1d1f59a540f', 'c93d526ee4bfcbf9', '687a0929cc80074b', 'e5eb61f80568241d', 'c50dd0e181c43194']; context = [[13, 98], [15, 65], [3, 69], [58, 114], [22, 111], [46, 132], [7, 82], [150, 239], [24, 72], [46, 104], [1, 47], [21, 79], [13, 71], [1, 73], [32, 94], [50, 105]]; loss = 0.022181 low_pass_filter = 0.300
+Epoch 0: | | 43269/? [6:49:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 43270; scene = ['abf5fcf8652aeb3c', 'eedc455e3dcad2e8', '8a40913885bb9c45', 'a298b940467fa76f', '38366abfb0f92890', '0bd7d1356643cb9e', '335068a6ec7f576e', '9f99a95604c4986f', '062fa8871944a658', 'b97d8378949ed0b7', '9266579d30f7b588', '22891d0e2f68ebe8', '17dd546c069a1904', '8fd5b30160a4c68b', '60fa6aeba251417e', '583652ed8fa99eb3']; context = [[11, 68], [3, 77], [104, 159], [0, 51], [2, 76], [59, 135], [96, 175], [42, 115], [2, 52], [5, 72], [95, 143], [10, 65], [106, 193], [45, 133], [111, 187], [29, 96]]; loss = 0.033489 low_pass_filter = 0.300
+Epoch 0: | | 43279/? [6:49:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 43280; scene = ['b89cbbb0164025a2', 'fec0013fa8a83032', 'e9b7ac82a81389d6', 'f1d71185915ddf80', '6d0370efb4d83ef1', 'f6d99b98c43d1c51', '3d3071a3081b6611', '2b3d0f3383cdbf6d', '495f43228d58ee0f', 'e984993558178156', 'ccc8e1d1f59a540f', '18d2d38e04e4510a', 'c93d526ee4bfcbf9', 'dc3bd32d9c7eb770', '105174be89a2dedf', '25fc725784a63284']; context = [[11, 81], [59, 127], [5, 51], [0, 65], [89, 160], [11, 68], [49, 94], [9, 62], [120, 174], [30, 83], [22, 80], [74, 148], [45, 93], [67, 138], [6, 89], [1, 48]]; loss = 0.024416 low_pass_filter = 0.300
+Epoch 0: | | 43289/? [6:49:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 43290; scene = ['191f822dc7fa0c96', '409e4236aaf4b6fe', '78a1eb48fb32e7c3', 'f660faddf8e7c064', '233cebf44f00b4b0', '3256cf35e6abfe1f', '97c61bf4019ef230', '78b694e06349d124', 'a9ed4a87c1c6b665', '9e233268774cce82', '03333aa4887f26da', '32074709c9de22b8', '2d10a1bc4e9f5fe2', '73a06caaa807e329', '6bf4232300f914f8', '325ca089610a7226']; context = [[0, 75], [164, 229], [12, 69], [12, 81], [13, 75], [15, 66], [131, 203], [0, 45], [10, 80], [61, 125], [2, 83], [17, 106], [2, 69], [165, 214], [104, 163], [1, 58]]; loss = 0.022765 low_pass_filter = 0.300
+Epoch 0: | | 43299/? [6:49:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 43300; scene = ['458af535dfa1b0b4', 'e4127b01ba04fbe1', 'bbfeaf1a2a7d4b40', 'fe1b841e883993c6', 'a0fbe6aa2ebe6cc7', 'b10bac1cbfbcddde', 'a7183ba62f34173a', 'f239832e46a934bb', '683f583409f21d60', '8e90b2efe9d89c3f', '3f1bb453d4373915', '4c15cd3549a1b7d7', 'c158b65df6e45293', '840e53cc973b6f8f', '6be72e2c49d656bd', '194ab22b4bcef56d']; context = [[224, 275], [23, 74], [81, 158], [12, 91], [40, 98], [3, 50], [3, 64], [89, 135], [0, 75], [0, 58], [3, 48], [2, 68], [10, 96], [43, 93], [20, 66], [12, 75]]; loss = 0.021888 low_pass_filter = 0.300
+Epoch 0: | | 43309/? [6:49:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 43310; scene = ['0e3f607337796809', '29a281fc3ab05630', '469357405bf85934', 'abe2e633aa6852c5', '7764929e30ee8763', 'a8fd9eded2ff8913', 'edc53cc70788e161', '477268eceff12807', '32a71cbba220ffc1', '60cfea5a1bd567f2', '52c3a0280109a146', '4d8d06f8f01e490b', 'c3a3738c8ddb0e85', 'a26506571c3951f0', '142af18c2b5f0145', '158c7dda2cf0765a']; context = [[1, 64], [97, 154], [41, 100], [7, 82], [30, 77], [6, 63], [29, 87], [0, 47], [14, 94], [33, 98], [16, 99], [4, 66], [6, 61], [20, 90], [44, 131], [50, 112]]; loss = 0.025720 low_pass_filter = 0.300
+Epoch 0: | | 43319/? [6:49:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 43320; scene = ['75770dd0b7c22fdd', '594272333e575988', 'c609f5a60f4bbd0d', '1b45051c94bc74a8', '72dd942645e6c65d', '01687b961861c900', 'a4e727402e2df208', '014d6d0fdfb6393e', 'eb5d599c32500465', 'e46623a7d46b50d6', 'dd524a4305e778c8', 'adff1244e7025d77', '2abb97f6db84d481', 'e31486facd91f4f5', '723db63d24c84d1d', '4daf1a5b162d8f4f']; context = [[0, 85], [149, 238], [145, 199], [35, 116], [123, 181], [142, 222], [33, 103], [60, 107], [88, 135], [89, 139], [11, 69], [2, 86], [1, 70], [35, 80], [59, 125], [23, 80]]; loss = 0.043393 low_pass_filter = 0.300
+Epoch 0: | | 43329/? [6:50:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 43330; scene = ['59d81da76eda2f59', 'fb0e99a7cc720ab3', '9ab8790f640525c5', 'dd9f02a2c1f969f3', 'e75e5a54d2b27d9d', 'd75878b63705d58f', '3027e1f17f7891c8', 'a53e86a301e2d2b9', '0b2c6745daa6b386', '739668a2e4736e71', '611e7445a2567f6c', '430406c1e2815e24', '184f88882b243fb6', '0949fc7fd8edf9e6', '6be1fce840607d8a', 'f5ec2d727c316a10']; context = [[46, 135], [12, 79], [36, 81], [3, 74], [18, 87], [97, 156], [84, 172], [46, 126], [27, 95], [100, 172], [29, 100], [95, 180], [35, 110], [55, 121], [1, 48], [20, 66]]; loss = 0.025312 low_pass_filter = 0.300
+Epoch 0: | | 43339/? [6:50:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 43340; scene = ['4a48d77f5585a875', 'fc36c85463412c38', 'c25194b2a961a96a', '1c165afe78c29c55', 'e1de4c36a3f11e1c', '9561b33818543eeb', '2935197dcf0164b0', '826ac620be5fbf0b', '2d78bdcafda0e615', 'a65c18f99fcf5f82', 'fd5aa11dc66a75c3', 'efb590fd4b4eb0c5', '599f80ec8db49f3f', '72a143742fde6395', '07e15647254b6cab', '9e511f66516b17db']; context = [[34, 95], [26, 90], [6, 63], [19, 97], [9, 82], [72, 158], [3, 59], [6, 73], [0, 73], [8, 71], [15, 104], [9, 70], [140, 206], [0, 58], [1, 64], [157, 236]]; loss = 0.026335 low_pass_filter = 0.300
+Epoch 0: | | 43349/? [6:50:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 43350; scene = ['e834fab2208f1db4', '27720c60f338c25f', '31da2e3201fe611e', '63623bf352725322', 'b024b50e436ede79', '16382971f77e771d', '1860d62e96c4d064', 'e5d0517dd6053a89', '58bec688c826e172', '8cc26f11d5ea77cb', '4ef6e3d8d9059199', 'd8508e57717ecc33', '3bd54267eb74c3f1', '01aac2aba4c7acba', '98afc5084cb45db7', '00a61821997f3fac']; context = [[35, 116], [163, 233], [41, 128], [0, 49], [4, 49], [11, 80], [0, 71], [5, 55], [19, 80], [74, 127], [8, 88], [10, 86], [143, 199], [10, 80], [17, 89], [48, 117]]; loss = 0.026645 low_pass_filter = 0.300
+Epoch 0: | | 43359/? [6:50:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 43360; scene = ['a8317f5de4f6f22a', '8246e3493d527708', '9d5c79ae97b12abf', '78ddb18e77a98079', '0b7a5b3706827cca', '0e916e63743f841b', '530ef7860d383ff7', '997780a3a81f3c78', 'cad89df12fc146e9', 'e937f0b04a960552', '7d8f97b868ccbb20', '91d495bf87c49477', '36bf8b485c1284dd', '385e4feffca538be', '7b70cc2310d009ad', '7df8b2db66f22383']; context = [[3, 66], [22, 80], [2, 52], [7, 66], [32, 102], [33, 122], [61, 135], [2, 72], [0, 68], [9, 90], [34, 113], [50, 110], [3, 84], [113, 183], [34, 105], [24, 76]]; loss = 0.027104 low_pass_filter = 0.300
+Epoch 0: | | 43369/? [6:50:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 43370; scene = ['08c5933644751ccb', 'f56aad78a43470a4', 'd3ec125d78abb4d3', '877301a2234c6e85', '9ed1229832a964c4', 'aa48089b1858e407', '2920cab8cf74aa1c', '0b86648300a5e5c7', '6627f3f18ff109ae', 'c0d3f3f7b141857a', 'b9f698335e518686', 'db4ec9038ac73682', '9fa7b7f29fe6c2fd', 'a2cdc40a197f913a', '5450388684258455', '94e45c6e564caba1']; context = [[9, 59], [118, 168], [17, 98], [101, 178], [109, 155], [11, 62], [2, 76], [5, 75], [39, 89], [12, 101], [49, 105], [20, 96], [108, 175], [14, 87], [105, 186], [1, 47]]; loss = 0.062299 low_pass_filter = 0.300
+Epoch 0: | | 43379/? [6:50:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 43380; scene = ['211274b1f1c0b2f1', 'd67eb389200533bc', '44b11ed1882e73b6', '4ac2c53d8a94fc4e', '360071cdfb60fb0b', 'fb330853f70eb73d', 'a584b2e57a8134bc', 'b7906279b66195ae', '0aa07b78c395a680', 'd3dc24cd90a79d97', 'c45d298bb3d0da30', '34d534d9aa514cb4', 'dc4ec3022ce21d0e', 'da4a302718afc212', '41dd55f0272aba33', 'a102f80bd807b881']; context = [[14, 66], [8, 81], [41, 108], [1, 56], [29, 102], [14, 69], [4, 94], [54, 124], [1, 56], [2, 53], [110, 168], [57, 127], [0, 51], [171, 261], [15, 62], [10, 98]]; loss = 0.029529 low_pass_filter = 0.300
+Epoch 0: | | 43389/? [6:50:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 43390; scene = ['5774a89a2d5cd670', 'ef394996c3b4b964', '2dbc65b7447a15c1', '3157f03f26187e7e', '20b0f500cd4d194c', '0f508c88592db2c2', '7022414e18445c17', 'ff133f07dd0f56e6', '177febf140d5e51d', '67e551f7010bbc58', '84e0a57f0cbe34e9', 'dafd793d52245959', 'abdf580d488c0193', 'd0a2248b0823efa1', '6dc9af195dcf0f4b', 'fa88f170831e7ec4']; context = [[72, 148], [171, 222], [36, 125], [40, 120], [2, 80], [141, 213], [150, 205], [1, 73], [107, 158], [13, 82], [17, 105], [7, 56], [3, 88], [0, 76], [22, 85], [13, 72]]; loss = 0.024634 low_pass_filter = 0.300
+Epoch 0: | | 43399/? [6:50:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 43400; scene = ['5fec93795636099b', '8dfbc2d0cab1db89', 'c2e9139a0b8292bf', 'b9c46af1909b96a1', '879027574cfa080a', 'f7ce09fbe4576358', '8f9b2fc1d42464eb', '3f7f202a7d0b61fd', 'c38d6a55cd1b57e0', '03f2504123909705', '43bf5c9853912e6d', '246ea07f84d23963', '37bc704ab2d09963', 'a77791451d3b6b29', '682ad474d6d76c69', 'f61787a6705d3600']; context = [[81, 133], [1, 68], [10, 64], [2, 69], [15, 91], [10, 98], [158, 235], [6, 93], [30, 110], [1, 54], [15, 72], [2, 86], [76, 145], [0, 49], [22, 96], [61, 139]]; loss = 0.024761 low_pass_filter = 0.300
+Epoch 0: | | 43409/? [6:50:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 43410; scene = ['e38f15b65f706f6d', '5d049f982d5d8d7d', '130d57f1824c8064', 'cf5a161998d0582a', '25ac9afd10569fe4', 'ca1d592f88d47c36', '2521e8a729b9a28c', 'a5e4dcdb5acba475', 'd13522abd38eddfe', '4d27fb96530fe02b', '30952e0d21bf56ca', '7f0ef9f7cc5983f8', 'baf76f04fa2aad10', '4b5883872c9b860c', 'b07961433f13f70e', 'd3136cedcdc0fc89']; context = [[63, 117], [6, 72], [58, 103], [9, 90], [81, 142], [62, 115], [79, 125], [1, 50], [57, 112], [0, 76], [8, 60], [89, 179], [1, 48], [8, 75], [20, 75], [10, 56]]; loss = 0.029432 low_pass_filter = 0.300
+Epoch 0: | | 43419/? [6:50:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 43420; scene = ['88e6344986a03450', 'ec736f79975228d9', '41604fbf6dacd451', 'd9d98cda23d10c9b', 'f0a566ed68e65b62', 'f0d33a2db693635a', 'd58001b541d912dc', '84527525b4595fb5', '6dee6f17569583fc', '6b8bf7759c041d98', '3233932b0505b21d', '1ad7adae6a042ce1', '45ec2121ecfbcaea', '3151e48717cc2a77', '4739fc5ed7553f10', '5893ecb5ca418955']; context = [[13, 77], [17, 79], [4, 68], [85, 145], [91, 154], [2, 48], [125, 210], [18, 87], [17, 106], [40, 130], [12, 91], [3, 79], [97, 178], [15, 63], [0, 65], [21, 68]]; loss = 0.026830 low_pass_filter = 0.300
+Epoch 0: | | 43429/? [6:50:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 43430; scene = ['03c56cb029f69054', 'e63caff82406317d', '08f55e581d3ff038', 'e60d3c2cbe8722dd', 'f585524ad6786b54', 'bb871f57112086a2', '4b641eaaec862d77', '8722a564706e204b', '71911b4af12b9a16', '305999e29713a998', 'd98e4f128e4fcce0', 'fee2852411318e54', '0fca31f2dbbd79b5', '70a343bffc90f4aa', 'af478ab012dfb92e', '68a4606ce0150ce6']; context = [[2, 68], [1, 75], [26, 71], [0, 74], [11, 78], [22, 69], [7, 84], [58, 116], [51, 106], [90, 159], [106, 177], [3, 54], [5, 61], [0, 72], [6, 83], [92, 151]]; loss = 0.052271 low_pass_filter = 0.300
+Epoch 0: | | 43439/? [6:51:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 43440; scene = ['9c6ef1e78270e053', '868bba780260c9d8', '81eb6c7798c391a1', '276a13f09ec9a0dc', '38d897635c61c8c9', '88d8e90884122b24', 'e083b64b420a7c1c', '811030cf843d51aa', '50e795080ac74ba6', 'b8099dd0779f2b1a', 'bbacf37a3de9fe50', 'c2cb552464e430ab', '2ac2be72df08b59f', 'e152f1023f62baee', '72cc5bfd4015cd03', 'db554baaea71b956']; context = [[24, 87], [2, 88], [2, 60], [27, 114], [6, 56], [112, 175], [31, 83], [0, 46], [7, 61], [176, 243], [139, 186], [7, 72], [109, 194], [209, 254], [105, 159], [7, 73]]; loss = 0.036986 low_pass_filter = 0.300
+Epoch 0: | | 43449/? [6:51:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 43450; scene = ['65459c55dbe18f31', 'f0b4753901c7d813', '9d0585ff11d30bad', 'b31f454ee7112d4a', '68fecf971a65aad3', 'b7ff4b6877dab8e0', 'ba76b759b2227043', '7fbf45d2a2e14a82', '0229f60ec409f031', '9f0556e88970a060', '165dee80c83d99d8', 'cb4bc53086c6bc97', '1de01a17409a9796', '0d584ee47b1581b3', '6ba0ee10f98864e3', 'dc49dc3addb7cae7']; context = [[11, 56], [5, 84], [50, 104], [4, 62], [135, 215], [47, 131], [28, 112], [42, 131], [69, 114], [8, 61], [1, 47], [10, 75], [2, 68], [19, 67], [71, 117], [17, 67]]; loss = 0.027624 low_pass_filter = 0.300
+Epoch 0: | | 43459/? [6:51:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 43460; scene = ['7a3ec171d986c227', '94451d81f8e139cb', '35502d38021916e4', '31eb8ff621bb7ced', 'a0576d283ff000d3', '0a6bb5a921dbfc12', '3338a85eb3222a45', 'e1049fac3065b063', 'f83a72a27b18dc03', 'f0b547776a72c454', '8326d223160e7289', 'b932fc784f7f24d8', '3d0bbce736659b1e', '42ea0dcb2096483b', '5838c99eb85b98be', 'e2eafa0d01a6337f']; context = [[226, 273], [3, 60], [5, 83], [5, 94], [32, 99], [75, 149], [4, 65], [13, 69], [68, 145], [11, 62], [57, 130], [12, 84], [20, 109], [13, 86], [32, 85], [96, 148]]; loss = 0.027521 low_pass_filter = 0.300
+Epoch 0: | | 43469/? [6:51:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 43470; scene = ['e799d433cc4178d0', '7b22ac58746f7338', 'e7716c6defeee60b', 'ca84c9d62c6e869e', 'c2d9626e25b514d2', 'e3a0600c1b12486e', '083f6e232345ba29', '07b91d8606616953', '360522a132341bfc', 'e160faecc21bd431', '4b57460bfcb3622c', '261bdda76d7124cf', 'a17ad78f3de1747f', 'ba681e5557b24568', 'e2f8593ab819939c', '6e65795a976312b7']; context = [[6, 92], [139, 208], [1, 52], [13, 68], [47, 101], [25, 81], [23, 73], [0, 55], [46, 113], [20, 68], [118, 166], [21, 92], [1, 54], [0, 48], [12, 59], [57, 134]]; loss = 0.023995 low_pass_filter = 0.300
+Epoch 0: | | 43479/? [6:51:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 43480; scene = ['743f59daaa367122', 'd6d380b648e2f715', '7966f2fbfe2a46c1', 'e1806b98f300f74e', '5f048697cb6f2e36', 'b51e95c335480257', '0c0690ed224753ad', 'd976195703e97159', '8b29ede9a92d3183', '2d746af0682cba3a', 'bf5905b88057d933', '970c3203b15e3aa0', '64ffda972d8fa3a3', '5c521539a781d58e', 'ca21a226fed668c0', 'b6e343e58476e518']; context = [[2, 57], [8, 62], [6, 95], [35, 111], [2, 49], [98, 182], [7, 76], [30, 105], [73, 131], [12, 81], [11, 67], [84, 161], [16, 79], [0, 58], [211, 263], [69, 132]]; loss = 0.023185 low_pass_filter = 0.300
+Epoch 0: | | 43489/? [6:51:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 43490; scene = ['d09259776759df85', '0de4e1d6b188215d', '5f70f2502a815d4e', 'd1e50d929cd1012c', '7f8c7f2304741f81', '9da451a141c4e753', 'e72554926e7e9142', '14d9c232967d7ea5', '592d5c7edc178f8d', '912ea2f1b054ba18', 'cdd143c10eabedfa', 'e0d3ae17c83760fc', 'ff7681d30920cb92', 'b2310b9c0e90ad05', '35f011e6c35d0aa1', 'c35c2e2d9c219eac']; context = [[0, 74], [3, 51], [8, 66], [87, 164], [0, 56], [115, 190], [5, 65], [11, 85], [43, 116], [127, 175], [7, 68], [54, 107], [191, 251], [5, 86], [209, 272], [54, 107]]; loss = 0.028273 low_pass_filter = 0.300
+Epoch 0: | | 43499/? [6:51:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 43500; scene = ['afc970648a89e04a', '2bf30153b26e2060', '814f74b9c3c4d094', 'd729044c166a455f', '197ff5c7287f0d9b', 'b1d60da6d903d72b', '8a44e9b2b9fa4231', '045404bb5789b725', '51c54c9b7f7598c4', '17d52a5b96e9c278', '3f0671b3aab75af7', '1dcb240325fa36e7', 'b81984c3db6d299c', '67fea88caebb1c14', '702e3924eb797e62', '16b13c6c0948d0bc']; context = [[59, 105], [63, 132], [26, 71], [41, 114], [137, 186], [0, 46], [5, 52], [29, 89], [7, 81], [14, 79], [19, 69], [168, 238], [121, 171], [145, 190], [121, 186], [152, 205]]; loss = 0.025230 low_pass_filter = 0.300
+Epoch 0: | | 43509/? [6:51:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 43510; scene = ['3161bb9aafb4cd71', '8234b72a07732ef9', 'c7da415dc7750495', '14b3067edde30f05', '5bfe0cc76a6cb010', '26545139203aa7cf', 'aba410d7c6252b5d', '54dcba84c9970357', '3249184c77ec280c', 'afb87f77f9bef824', '22d1422ff4247b34', 'd6ae7df1d2f33c9e', 'a93cf5afa5172f2d', '701e1e67ce9a49ec', 'dcd5b87a61298893', 'de03eb2fb73856a2']; context = [[86, 164], [5, 56], [0, 71], [6, 86], [215, 262], [54, 130], [5, 61], [2, 59], [1, 86], [4, 77], [92, 165], [46, 101], [1, 69], [0, 80], [94, 152], [1, 74]]; loss = 0.024245 low_pass_filter = 0.300
+Epoch 0: | | 43519/? [6:51:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 43520; scene = ['c0d7c010544c5256', '0b9517e1c9fa61dd', '85719f352ee0c48f', 'd244e00302839aa1', 'd8fa74c9de7810d9', 'bf19e55e5dbb42fa', '3c2046c344fb8daa', '523c8d9edc5b09cd', '0f8bf49cb1f8fe83', '866936c75c96b8a6', '342ecb05b0677ed3', '69ed0049628008a8', '1213705aaba383fe', 'a13162d1f72e42b5', '353c4cf99acd87de', '65eef4383bdfe37d']; context = [[35, 85], [0, 89], [33, 84], [41, 89], [5, 67], [19, 104], [0, 69], [11, 73], [21, 94], [113, 168], [113, 202], [23, 98], [4, 56], [171, 236], [34, 89], [2, 78]]; loss = 0.023348 low_pass_filter = 0.300
+Epoch 0: | | 43529/? [6:51:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 43530; scene = ['e18498aa8bfb9107', '3e4fcb14d2d9d2eb', 'e37efbb1b4d81746', '81688fb42ac1f08f', '7d0e0b6733c4c54f', '0a79600d44d37d64', 'a99b619863a4760c', '4c4199f1af91eca1', 'f09b2a3782ff7908', '46fce6b33c1b6c95', 'd8fc4c664a4adc05', '2511f006daa658a5', '8d303400f56c8600', '19157bb6d9d87bb1', '86dee38a2f104083', 'c6d8b4ad1f0a29d1']; context = [[98, 167], [17, 62], [10, 55], [4, 53], [1, 72], [8, 93], [22, 88], [89, 161], [49, 108], [1, 61], [167, 222], [12, 84], [28, 83], [0, 69], [59, 104], [14, 68]]; loss = 0.023661 low_pass_filter = 0.300
+Epoch 0: | | 43539/? [6:51:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 43540; scene = ['6de4cba695a484fa', 'ac379082a6cc5a82', 'f0af9a1645fffb8e', '87b388b4e4a77b3d', 'c7b8de10ce8003bb', '1ddfbeb2b016dfd9', '43fcf5cea7f176bb', '3551ff5b8a497fb7', 'bd24867c60c345b2', 'da158c0720b75e35', 'a30f898a6e455745', '2d350d7b093abcff', 'd4f5fdc1d8338a47', '09ca33ec20aab149', '871cf978eabbd334', '75933e11d3115802']; context = [[27, 117], [19, 101], [201, 261], [2, 70], [49, 117], [52, 129], [95, 147], [9, 79], [45, 129], [95, 160], [14, 60], [111, 181], [5, 63], [29, 81], [110, 189], [3, 48]]; loss = 0.073761 low_pass_filter = 0.300
+Epoch 0: | | 43549/? [6:52:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 43550; scene = ['12a02be37a8072ca', 'c73272627b13a495', '270644731647fb92', 'c5c0ca1ed57d6f0d', 'e9554c14b787529e', '9af2ad7f7fe8589d', '4ed59f0ee55f249b', '08f243f58cbe5d22', 'ff66bd5382658cec', '9a5f479770765282', 'c338b5625ab72dde', 'e8d6100917c31f4c', '004afb07c2352370', '7ef4711d7e459ac9', '61049a4bf21ec488', 'cfe1cb5b29829f61']; context = [[1, 65], [34, 92], [102, 169], [5, 81], [0, 62], [4, 80], [4, 94], [9, 86], [143, 197], [106, 187], [150, 231], [1, 46], [31, 103], [43, 104], [1, 87], [190, 246]]; loss = 0.022383 low_pass_filter = 0.300
+Epoch 0: | | 43559/? [6:52:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 43560; scene = ['c19be054a8a456f5', '91effcea642ad897', '07891f56f57ac39d', 'ef380960d4d8a206', '93f64e2b3f286f45', '3ec462170f378b3f', '9bb2a6670058b7b2', '615d5da2368e312c', 'c544ed479973807f', '5a661bc2c6c62f59', '10ad454e47dbe812', '842b0f18727a87f6', '06217ded6da8f724', '38da907dd45ba2d9', '76e579e0db484aeb', '5f1f6f96424e0013']; context = [[13, 100], [2, 60], [42, 88], [14, 95], [15, 103], [0, 65], [2, 63], [29, 88], [7, 93], [106, 188], [7, 92], [3, 71], [9, 90], [14, 84], [37, 100], [9, 86]]; loss = 0.025653 low_pass_filter = 0.300
+Epoch 0: | | 43569/? [6:52:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 43570; scene = ['c99ab9b0911f0d72', 'f824e9aae22d0369', '2352dce87a236495', 'd05469e324c0bc42', '5c88ff05f51279a4', '4f768e705a9c812b', '0b95756523e57ef9', '7788c075e21e862d', '3fec42c6570a70d0', '437b5b7a2fe26b67', 'ef788a2216895f19', '1fef55c7753f1cce', '90d70bc4c159efe2', 'de665a63685bdac5', '817e228e9c74d745', '230dcd170cc900ae']; context = [[202, 265], [36, 110], [3, 59], [18, 63], [3, 60], [0, 63], [1, 66], [29, 80], [29, 80], [4, 61], [9, 99], [121, 190], [2, 48], [101, 165], [4, 61], [190, 249]]; loss = 0.025760 low_pass_filter = 0.300
+Epoch 0: | | 43579/? [6:52:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 43580; scene = ['f28bc7d364b2b918', '8bdc52505292467c', '70c83167c3a77dbb', '1b0653fc20ad6603', 'd28a1d795b4321d9', 'dabeae3f355c2ab7', '88016b1328f0b76b', '069b5823b0eb4d84', '29dfe9e623ddcafb', '5cb6a4466d5f4f53', '38d2ac7c43dd0eb8', '23683c24eb019816', '94a0618ce03ee661', 'e7aa969073578104', '564ea16244f45dd8', 'eb9a6eb40e64e0c2']; context = [[9, 56], [51, 110], [4, 50], [7, 91], [73, 140], [1, 64], [8, 97], [16, 64], [16, 71], [15, 60], [210, 257], [3, 82], [5, 69], [133, 218], [43, 97], [35, 105]]; loss = 0.032520 low_pass_filter = 0.300
+Epoch 0: | | 43589/? [6:52:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 43590; scene = ['67f6ef3eade2587f', 'e30a5600e3a94534', 'b0549364f20ec720', '6b05bed19f518aba', '1cca22feb5458699', 'cc0548ecda611e25', '6b618bf721772750', '53d5559c250a0f44', '1b4bf9a4a458e0df', '71f47ad340f36a00', '9810e48786be9e3d', 'a6161601e3a76aa9', '496e2618d0fb9556', '8213e7f3f5d265bc', 'b9e8ae6d34748bc1', 'caee640343f2dc58']; context = [[11, 87], [165, 226], [6, 58], [10, 87], [6, 93], [0, 48], [100, 181], [3, 84], [35, 105], [73, 138], [4, 70], [9, 55], [22, 112], [15, 63], [29, 90], [85, 153]]; loss = 0.025818 low_pass_filter = 0.300
+Epoch 0: | | 43599/? [6:52:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 43600; scene = ['1451955eb30abd6b', '670b9bea39ffbfe5', '182ddf7fbc64272f', '50c989c75b0f7157', 'b5b7cf0397d7198f', '2cb5509fb3497624', 'a92466ec8346b8e2', '6f18dd963f7b02bc', 'a0860cfc351a422a', '5b10dfb58100f4b2', '6331f61b2b475c41', '3cb0a62af12e4bfe', 'ca1b81698f4a3f71', 'c474b284195b708c', '43728f475156cab6', 'c76a27069c3da62b']; context = [[2, 48], [50, 114], [14, 98], [21, 71], [6, 58], [9, 55], [5, 90], [7, 72], [4, 68], [82, 160], [11, 77], [32, 114], [8, 89], [206, 253], [3, 86], [16, 63]]; loss = 0.021040 low_pass_filter = 0.300
+Epoch 0: | | 43609/? [6:52:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 43610; scene = ['8732aa2851a261d8', '10ef289b28ab324e', 'a461535bfb517f1d', '44edfcf8db1e6c1f', 'e3a011e739647f75', '7000f7a820b20f68', '78ddb18e77a98079', '91d495bf87c49477', '0e916e63743f841b', '7b70cc2310d009ad', 'cad89df12fc146e9', '9d5c79ae97b12abf', '36bf8b485c1284dd', '997780a3a81f3c78', '0b7a5b3706827cca', 'e937f0b04a960552']; context = [[26, 75], [3, 53], [35, 91], [122, 182], [3, 51], [0, 57], [29, 96], [17, 73], [66, 132], [24, 109], [86, 162], [6, 60], [21, 78], [10, 82], [3, 51], [51, 107]]; loss = 0.028172 low_pass_filter = 0.300
+Epoch 0: | | 43619/? [6:52:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 43620; scene = ['3d74489372089c48', '0071f6d0b342c75f', '7dc2da97423f053d', '9f0cb34a36fc4260', 'e280e5d4cd514531', '58adcbde01e5c437', '435fe174264697a6', '52914ada3d21bb9a', '211ba20868a52208', 'dd9bed08c152554c', 'a6ac9a6cc22cef98', 'bffbd3c67735eeef', '7125ae35464adb5a', '81df966eea295ac0', '5dee435a268fbf38', '5aaf9100d34579e6']; context = [[1, 49], [39, 92], [22, 95], [48, 122], [41, 95], [38, 112], [1, 62], [67, 131], [32, 77], [0, 66], [188, 238], [2, 77], [0, 65], [85, 135], [82, 145], [6, 72]]; loss = 0.029840 low_pass_filter = 0.300
+Epoch 0: | | 43629/? [6:52:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.20, train/active_min_children_step=4.000train step 43630; scene = ['c94656969b93803d', '43925e6d705283fa', 'fad5e0b62e2676e2', 'e21bfc7e213dbea8', 'fc4b516757033798', 'a05682e197d30ff6', '68eceba1820a202c', 'f3ce699cb1820363', '845470a7c2434585', '1d8d19fdd5912312', '686ad3f8a986c1d1', '47978344bbc75de5', 'd5520fef0acc013d', 'fa49b8a4ce355d53', '562bb0d240bb37ff', '9d81ebc13f6a11ca']; context = [[107, 161], [13, 64], [15, 75], [15, 75], [47, 127], [70, 139], [0, 46], [7, 54], [48, 125], [24, 97], [2, 74], [0, 82], [6, 69], [23, 76], [5, 85], [6, 59]]; loss = 0.028268 low_pass_filter = 0.300
+Epoch 0: | | 43639/? [6:52:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 43640; scene = ['2c7dc741d1a225fc', '8cc2ddc5371a5549', '1b0911eb8147f74b', 'ecfc865925d2cb8f', '0c2b1cb610e4f21d', '60ebe67fcdbb0767', 'c0fa0cb15499fc43', '0e5f43adc84b0435', 'ea7dcd064894c677', '5e64c580f02995fe', 'dd63342a63be7453', 'd61163a950567fe9', 'db683f6705440884', '7fdf985ba46e978d', 'a525d5304ac3a76c', '76810a4a9a8a5881']; context = [[10, 75], [0, 45], [111, 163], [23, 81], [61, 146], [14, 91], [118, 164], [15, 62], [50, 102], [6, 63], [10, 78], [34, 96], [44, 101], [44, 99], [40, 110], [67, 152]]; loss = 0.025215 low_pass_filter = 0.300
+Epoch 0: | | 43649/? [6:53:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 43650; scene = ['c56ba8717d50a07f', '6910b34e5b91b5f9', '5fbf56ed209c709c', '4592370201894fe7', 'd386559a465dea9c', '1668fcfb8bedeccb', '21ab0d9d871753dc', 'e36b193b3e2dd16d', '275471aa95675b7a', '0314dd90dba7025d', '746f958167248c47', '023e2a0f45dc49e0', '3199035cc6dd56bc', '27e6dbcd1a32e569', '31d2fb92e2a0ca93', '0f8c770f3a37cacf']; context = [[97, 160], [110, 177], [9, 54], [0, 86], [143, 200], [3, 77], [21, 81], [15, 90], [18, 90], [10, 66], [173, 248], [16, 84], [8, 62], [16, 81], [7, 57], [9, 78]]; loss = 0.025095 low_pass_filter = 0.300
+Epoch 0: | | 43659/? [6:53:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 43660; scene = ['d3b901b44e7ddb4e', 'e338ac884c0b91fc', '7bcf0c3f0048c85a', '41e6df4d8033c126', '50f889dd14dfe91a', '32ee1cb2b3b67020', '679f702bf4343e29', 'ca87754159d3beaa', '8fe5585de32fdc87', '0856c1946c2ba29f', '669fcd58e1060f18', '9adb745c741c85e0', '482411a57b1a83f0', '255998558abc7172', '8194a8208ffbdeb0', '2bf2d66d87db5178']; context = [[18, 66], [1, 62], [3, 55], [2, 80], [66, 118], [31, 85], [3, 49], [3, 58], [46, 100], [210, 264], [37, 90], [9, 85], [12, 83], [14, 72], [11, 71], [41, 116]]; loss = 0.022155 low_pass_filter = 0.300
+Epoch 0: | | 43669/? [6:53:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 43670; scene = ['547ec2a373bca762', 'aacccbcbc0722240', 'e1d6178ea1fe6d44', '1b98355278b3ca52', 'eb61796d301ac994', 'c62b839c1b99274d', '1c697e1b376ee31e', '98b8e9f58887b2c8', '2e9fd009632a1bf5', '28bb7b161e83ed60', '1008647325f7f5b5', '4fce6c47c4c214d6', '1213665a8be72518', 'f646551e454cd501', '35e07043b9b3eb19', '73afe9702215dae0']; context = [[69, 151], [37, 111], [19, 65], [2, 47], [142, 196], [21, 99], [0, 82], [7, 91], [22, 81], [64, 120], [7, 64], [126, 181], [8, 70], [3, 79], [11, 57], [122, 208]]; loss = 0.021857 low_pass_filter = 0.300
+Epoch 0: | | 43679/? [6:53:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 43680; scene = ['aa65023359f54a83', 'c37b7e0185f4f065', '3664b674b6366549', '176c4f096dad0005', '54d0b9c20694ae47', 'e82133b7484e9dee', 'b18ea5dbd9802931', 'e8ab766619331d3b', 'bf4ba2808af7f8bb', '9dff9a317da1d49d', 'b4764c8fc2de0f78', '238dd75b20662b2e', '23ac87fd90e9a51a', '4d81a0166c5d3af3', '1781ab25cd748560', 'e0ee3878561a5fed']; context = [[8, 81], [5, 74], [109, 196], [15, 92], [32, 92], [18, 85], [19, 94], [17, 64], [5, 52], [14, 93], [31, 116], [69, 143], [39, 118], [7, 82], [74, 158], [7, 58]]; loss = 0.025465 low_pass_filter = 0.300
+Epoch 0: | | 43689/? [6:53:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 43690; scene = ['502519632955b9e1', '2cfb834d3733175e', '464facd721dc4fe8', '28b6ee285fe5fdae', '1ef7fa7b1cbca618', '261b7dbafe6a1b4c', 'fdc65f83713e9732', '205de76eec36ffca', '1230e8cc8a954348', '71ab9816948406c2', '23fc08656463d908', 'b5873dbb69f9b7b6', '8d2d04ce88052af6', '2b474d3143080014', '9e71920e58bf6a02', '7717f516bd67937e']; context = [[0, 45], [14, 62], [8, 95], [1, 50], [2, 61], [11, 74], [3, 65], [10, 84], [4, 54], [33, 90], [4, 84], [3, 51], [0, 83], [0, 67], [1, 46], [123, 174]]; loss = 0.032223 low_pass_filter = 0.300
+Epoch 0: | | 43699/? [6:53:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 43700; scene = ['161dc6059be03815', '975f394a6466a6c5', '53cd66c354d3103e', '3f02a2b8e8bd175b', '2a7c6acafe4422b4', 'e80c8f4178439905', 'cb0ed625413a2cc6', '665c734dedef60ee', '41ff70cc3fc8a332', '04ee6d9daa244889', '53cf0ccf9f3cd287', '7c70fa6ac7c7e2f0', '4d5fe5ad660cee05', 'f953c1d204bd8b12', '1bb131cb68bb3060', '653bb70e9b1ee3c8']; context = [[26, 88], [96, 147], [65, 124], [17, 65], [89, 176], [14, 104], [101, 146], [92, 139], [19, 90], [43, 94], [1, 62], [33, 88], [169, 222], [148, 218], [58, 111], [167, 212]]; loss = 0.024069 low_pass_filter = 0.300
+Epoch 0: | | 43709/? [6:53:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 43710; scene = ['5e7040c6384bdda7', '3fd549f7eef1c12b', '6d859b79756cb35e', '89dc50dc9a4e15bd', '5f6769e58c33cf0b', '6203ec07eb54ea40', 'a3d4680cd9ad864c', '427e644c4721cedd', '17515d51eaafdd2c', '694c8dd760733383', '8173cf0ad3386d55', '24f7200ced74c4d3', 'e1843a68dc42dff5', '9258ddec553eebc1', '8592ba43aefb06d9', '199a9ef5a23a3db9']; context = [[8, 89], [16, 63], [36, 118], [1, 81], [40, 109], [0, 60], [4, 65], [148, 221], [22, 67], [75, 135], [7, 54], [35, 110], [13, 72], [57, 133], [0, 45], [69, 134]]; loss = 0.023934 low_pass_filter = 0.300
+Epoch 0: | | 43719/? [6:53:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 43720; scene = ['4740cf208d28502f', '7b84e647a32a4bb6', 'e4e6feba6ad8534e', 'aaee1476b3b12793', 'e78b09abb4df5292', '63cb8090d7354764', '0dd520d7c9ae1242', 'd106596b3233f3c1', 'a87240a7ca4f7f33', '9c8bf927b0761f2d', '75b4cd7d12657847', '5b84e5a4b0848d8c', '7141d6c75e602276', '00a5a09a0c68b59b', '276ae8f6b469f3b3', 'c19e649653890e39']; context = [[5, 53], [28, 114], [13, 86], [4, 75], [208, 264], [66, 135], [65, 111], [2, 90], [39, 102], [8, 53], [2, 68], [19, 98], [6, 75], [8, 78], [121, 195], [0, 70]]; loss = 0.024993 low_pass_filter = 0.300
+Epoch 0: | | 43729/? [6:53:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 43730; scene = ['2b83ce9b23c5ab7d', '3ba79e4a3499b7bc', '2bf30153b26e2060', 'afc970648a89e04a', 'd729044c166a455f', 'bf37ac6cc15e90c4', '0a609dca037e83a9', '814f74b9c3c4d094', 'eda299b8ec5d56ff', '5a040cbc8d351ff7', '84cede8286dcf69b', 'a90eab41dddde44e', '631f19075ce636aa', '0fbbfe4c8f90f581', 'f7eaf62d4f3c6114', 'cda05cdb67698027']; context = [[21, 80], [23, 90], [120, 179], [36, 111], [67, 125], [72, 134], [21, 75], [9, 76], [57, 130], [92, 147], [16, 66], [141, 206], [16, 82], [45, 102], [13, 79], [44, 91]]; loss = 0.023526 low_pass_filter = 0.300
+Epoch 0: | | 43739/? [6:53:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 43740; scene = ['f3133558a4b75863', '6a522c0ce8243b77', '2d0eb0ce335b6dcc', '3fea0ece6c118fc8', '2abea165b6c845b2', 'ef022a0071e11efd', '2cf82f9ef86a8409', '207111788cb523c5', '4c4f6d8995e72f4f', 'cfcad25f2356c640', 'bcb8a096f875ed4a', '3f5c91c54d97b80f', 'a86d099ad374ec59', '10ad97617138c17c', '3b4d02e2e3dcfe71', 'af4b799f345044ca']; context = [[5, 83], [39, 111], [98, 148], [16, 84], [88, 138], [0, 76], [9, 83], [113, 162], [4, 84], [24, 91], [144, 215], [41, 110], [10, 94], [84, 168], [27, 97], [89, 148]]; loss = 0.023097 low_pass_filter = 0.300
+Epoch 0: | | 43749/? [6:53:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 43750; scene = ['fc96fc284fcbac43', '3b6a58f5e0a29f56', '194dfaa589c9981d', '44020f34ef2803bf', '9508bbadb133599f', '07c6818a3a353dd8', 'bc3e84661532f610', '76e3767736ea1fcb', 'dfce5eefef18f037', '0a8e2e73b0a0ddeb', '893631aa1120f800', '8a18a357d2f58181', '7a3c692a84dcff3b', '6903e917c5bf1c37', '7a91beed3bf01666', '05caea054b89afc9']; context = [[45, 97], [16, 82], [5, 67], [16, 61], [0, 90], [85, 175], [12, 73], [12, 63], [36, 102], [130, 198], [0, 60], [33, 91], [41, 100], [4, 76], [22, 70], [76, 153]]; loss = 0.029524 low_pass_filter = 0.300
+Epoch 0: | | 43759/? [6:54:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 43760; scene = ['7a26af750ba9ab8e', 'bf41c96f62d20703', '0f9430e46f8d31ee', '4fb40dc3a4716a0a', '9b26bb403d1d515e', '1683c797f3feac29', '1181acbb2ab18e64', '9ebc32522a5d6bfe', '88b54484f742e069', '47a1772c9348c0be', 'fa3d7ea00b62e8da', 'c34efa1505a0cfaa', '666e4a9aba27bb64', '3c731be7ff0e9a73', 'de04b38c9180ede5', 'f8b0f3569f34e541']; context = [[3, 50], [33, 109], [27, 72], [50, 127], [59, 107], [41, 112], [13, 102], [37, 98], [17, 66], [193, 257], [7, 96], [25, 111], [37, 96], [0, 45], [3, 70], [81, 149]]; loss = 0.043012 low_pass_filter = 0.300
+Epoch 0: | | 43769/? [6:54:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 43770; scene = ['1bf242853e2b9c54', '54c3ef2cb5c61855', 'f42eeca464640993', '1c9d768cb2dd54fe', 'a8da855d8a0a54da', '53a5d71340f06126', '39ebe42b7b1a17d7', '923d2553d35a6d22', 'd58c3ce53706c521', '8c29c2bae7754007', '39c89a5b2c926b11', '9622073e7a1bc4af', 'f619df7981671fba', '0bcc513ee33098c7', 'ab1ecd0675e6d324', '8f57b97683e367c2']; context = [[23, 92], [0, 77], [2, 55], [151, 209], [0, 85], [12, 65], [11, 77], [150, 207], [105, 169], [90, 174], [5, 70], [28, 114], [176, 239], [45, 95], [126, 178], [55, 123]]; loss = 0.027269 low_pass_filter = 0.300
+Epoch 0: | | 43779/? [6:54:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 43780; scene = ['a55c5825e25b380a', '8be4cc3c5d1ecc42', '706210d8cd04e8f5', '8e918671173842e9', '51996d52eea809c9', '8c4959742a47d9a1', 'd4c4178391fa64a8', 'c174fb69aa81e519', '1268b7774e3d93e5', '559322faba1bc893', '4b34e4a22e4a08ab', '9b71031c032f03a7', 'e509e98f232c4833', '903efe5f8a8e932b', '84b2e0a015504fbc', '3af52105acc793ba']; context = [[61, 144], [14, 94], [20, 84], [37, 114], [31, 93], [32, 89], [65, 148], [75, 138], [101, 167], [5, 92], [54, 103], [33, 87], [2, 73], [21, 96], [3, 80], [15, 74]]; loss = 0.027034 low_pass_filter = 0.300
+Epoch 0: | | 43789/? [6:54:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 43790; scene = ['3efcf64764442ba9', 'c79eade117f25328', '4530113d1d7f71db', '015be5260cee24a6', '9ec8836d9eba792e', '43efc8210bf1153e', 'b62d5f970d1517b6', '679df10aebc2c454', '5201b074adcc1957', 'c59770fe087d28fa', '6a211ff7d9fd2195', '911d68b78781f3a9', 'ec740dac79f473bd', '15d9bd9bab5b7d79', 'faf7b50488fc7fc2', '57824fb51ef03b36']; context = [[68, 142], [1, 75], [10, 63], [24, 76], [87, 170], [13, 80], [9, 82], [12, 77], [29, 115], [112, 198], [33, 112], [209, 265], [10, 96], [32, 108], [7, 56], [22, 111]]; loss = 0.032440 low_pass_filter = 0.300
+Epoch 0: | | 43799/? [6:54:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 43800; scene = ['11e2d9eec65ec014', '0666c63c6c8d6a9b', 'bce06efba2b1d37c', '019a00cb0729daa0', '590a96bdce2b6f66', '518b7ff041c71f35', '6f1508676b76c4f7', '1f0308acd5b5aed7', '49f52e9a0e83383a', 'e2633bd88045350a', '8a992755a8cf4051', '529e2387fa3fb753', 'f99aafb53f76f519', 'b0d028f08185a675', '7addead467bf9cde', 'ebb7dc16b320e609']; context = [[3, 73], [5, 73], [13, 90], [7, 89], [7, 67], [1, 66], [7, 85], [10, 61], [6, 52], [171, 221], [71, 148], [5, 51], [32, 102], [15, 91], [0, 45], [15, 66]]; loss = 0.025077 low_pass_filter = 0.300
+Epoch 0: | | 43809/? [6:54:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 43810; scene = ['f0b6b68c348bd47a', '6af72be1c13d95b1', 'e1b796da6f1eab63', 'fb8cc6461d197be8', '9973aed2c5833126', '2256f50a6dc095c7', '93ef2f0bd081e8eb', '17b586b2d92e9309', '27aaacb0d6f48092', '96c1b25253005816', 'e592493d5b6b248c', '4d61b9ff898c7e7f', '4ac29acceb412343', '130130a2cc332ef5', '270bc5262172dcde', '7a20ba81fb778529']; context = [[21, 70], [2, 48], [27, 80], [0, 78], [26, 94], [132, 190], [36, 99], [4, 49], [0, 61], [40, 110], [83, 134], [61, 115], [2, 50], [51, 140], [5, 79], [12, 92]]; loss = 0.027194 low_pass_filter = 0.300
+Epoch 0: | | 43819/? [6:54:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 43820; scene = ['ac1697324e3cba79', 'b9e9d2a463c7f840', '29a03a5b3c855640', '23a769da90ee8db0', '2e91aadb02e1e9ff', 'c6bae18b8a3f0bde', '471c50420c5d1da8', '432438cda3cad918', '170456ba78e63309', '919b825107501549', 'c0ab06325cbbce44', '1e1d817c3a82c777', '7926c7ba6cf278cc', '5afb45fc7fd3c865', 'b312f660891eff99', '2713e0ee94fa2fd5']; context = [[52, 103], [9, 59], [0, 90], [32, 115], [0, 82], [3, 77], [0, 79], [160, 249], [24, 114], [16, 78], [26, 80], [30, 108], [90, 163], [17, 79], [15, 77], [24, 69]]; loss = 0.029087 low_pass_filter = 0.300
+Epoch 0: | | 43829/? [6:54:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 43830; scene = ['feb7ab18757d5604', '7170cb4f9883b731', '6d577a0d16ed5351', '381ce8c714eb685d', '75f5ccbcdd3d0b58', 'aa8f687d18dd812c', '87496b4445d7539e', 'bbd98017a5638045', 'ce8fd4b7efd2db89', '766faacf860da300', '199cc9cb91da9015', '353cdac18ea04920', '05d937301b6a15aa', '2318a23527dfff67', 'fde72c5779d294aa', '629e4849c3d26620']; context = [[146, 211], [32, 92], [5, 67], [184, 258], [24, 86], [21, 91], [16, 81], [34, 101], [50, 138], [2, 74], [34, 117], [24, 73], [85, 154], [26, 108], [141, 211], [40, 95]]; loss = 0.033154 low_pass_filter = 0.300
+Epoch 0: | | 43839/? [6:54:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 43840; scene = ['55a4f53ea11c4186', '6abf8136b97c8097', '81c30c35693d1ba1', '5bb86dc9720b2b35', '0ab1c2dc6cb280b5', '7a200b3b294ff1bb', '68bec0ed2e14240a', 'd83ab17db1e547c7', 'd6397502b68b1550', 'd6b217b97091b866', '2eb2b641fdcd0536', 'cc1e7de736af9052', 'a2602fd97782849b', '4876dfaa5980ea8d', '017c0058a6c6e645', '871ef22f5aa9b2d6']; context = [[137, 205], [14, 82], [5, 89], [1, 55], [34, 89], [69, 144], [0, 47], [0, 58], [120, 174], [30, 87], [12, 58], [7, 92], [0, 72], [100, 146], [34, 94], [2, 69]]; loss = 0.028849 low_pass_filter = 0.300
+Epoch 0: | | 43849/? [6:54:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 43850; scene = ['38da907dd45ba2d9', '76e66c14db609731', 'cce7b7b831f93fed', '842b0f18727a87f6', '76e579e0db484aeb', '06217ded6da8f724', 'f6aed65bf9ebd5a9', 'c336b74e2c877b37', 'e00923b588e1ca61', '77d1f14fbdc4c65e', 'e9bce0235b64b452', 'ebb69f1382aeeaeb', '4291eb01c594fcb2', '4760844c0baec9fb', 'c94bb2dbaa678405', '38f562fb2b2ad4e0']; context = [[18, 80], [45, 130], [132, 198], [83, 159], [50, 105], [14, 93], [44, 92], [19, 71], [83, 153], [104, 150], [147, 205], [1, 52], [5, 77], [73, 134], [29, 94], [64, 131]]; loss = 0.023606 low_pass_filter = 0.300
+Epoch 0: | | 43859/? [6:54:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 43860; scene = ['13554b69b47b0602', '3d4fa53a2c7691f7', '2cf712cd102d5977', '8df6d17e6dd57222', '10305cbdad5cb899', '177e6cbad1a5d389', '5ba98d5108e42ace', '7c664e90551fc0ec', 'd6f7c7d0d43844b5', 'cac5c47b2aa42583', '64ebbf286630bc79', 'aa537814419ecf94', 'e213c0e5f037bd5b', '8eea074fdf6f2a8b', '8b95fd46af2120e1', 'a4a01e93fcd428b0']; context = [[1, 61], [23, 101], [35, 117], [15, 91], [73, 157], [31, 113], [63, 116], [5, 56], [9, 61], [7, 88], [137, 190], [5, 76], [3, 89], [12, 95], [40, 85], [16, 64]]; loss = 0.050208 low_pass_filter = 0.300
+Epoch 0: | | 43869/? [6:55:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 43870; scene = ['5e9991d19e01f177', '357b0a1d803c82ff', '7a4239da3cb26acd', 'c8d989af818ed615', 'e66dfa75f4d95572', '4fc168d5b9eee7b7', 'ed701cee43a6b370', 'c199878842dfd196', 'b0a7c8eb6675bcad', 'b1f86c6a9f0a31e3', '7ec8e2c63918d288', '82e02b2137ab99c5', 'e6f6e305abdcb9b6', 'b498509fbdecdd20', '5ebe660bb6dfa7c6', '7655b21afe2bb31a']; context = [[8, 61], [4, 84], [41, 88], [1, 77], [40, 121], [1, 68], [168, 220], [31, 91], [24, 81], [42, 106], [47, 120], [110, 184], [19, 79], [0, 51], [8, 58], [3, 66]]; loss = 0.024077 low_pass_filter = 0.300
+Epoch 0: | | 43879/? [6:55:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 43880; scene = ['4c737af8dea45195', '1cf3054fc373947b', 'bb76208880c43693', '30bad8b99b0649cc', 'e3c836611ebc7912', '228e3004c9ff58ed', '7941f38ede629d40', '76f1f99b2f95a66c', 'c34254b9239f4d5f', '4cb2eaf3ea088f25', 'a2d213e90836a280', 'caca9c97d32372fe', '1134a76f064459d4', 'a341f339c80467f7', '13a12740c5d84057', 'a55a64e116b5619a']; context = [[0, 47], [8, 86], [5, 86], [0, 61], [11, 66], [52, 97], [11, 61], [0, 74], [7, 55], [91, 161], [53, 122], [145, 226], [75, 142], [21, 92], [8, 57], [15, 60]]; loss = 0.022532 low_pass_filter = 0.300
+Epoch 0: | | 43889/? [6:55:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 43890; scene = ['12e365426a204bfe', '791154aeb41aebe5', '4c500c935499b76c', '79dca8946db32bbf', '544a78b22bc4b00c', 'bb03712511acb358', 'ea1b098bc21eb64b', 'd0c12240702616a7', '9652388a27e34f6b', '43ffa708c75c05b3', '731c9ff11c178e47', 'dc48fb4d76502068', '9988a33ae078c5ab', '9a177d5e00f6c9a0', 'a48cf82be0b6c8cf', '9f557ea23b237b5d']; context = [[11, 74], [36, 81], [2, 65], [22, 92], [15, 71], [16, 96], [50, 99], [6, 83], [3, 85], [11, 81], [11, 63], [13, 66], [7, 81], [9, 56], [82, 162], [75, 129]]; loss = 0.023900 low_pass_filter = 0.300
+Epoch 0: | | 43899/? [6:55:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 43900; scene = ['b3bd757032c06692', '2df270a308fce16a', '59c8185edac612bd', 'e8b4e52e3f875679', 'e647d3dca9afa2d4', 'b73ca7a033be2fe5', 'e291858411a38891', '26e28d2886638bf4', '8da41667e8f33d92', '3075c400813b4fd5', 'c1227854f6f7529d', '57b04086b86e72fc', '8b5c24358ec92b0c', 'c0fe0bd487299e61', 'eefc81d648d588c6', '0df41f651f4faed6']; context = [[18, 66], [21, 84], [29, 80], [4, 79], [5, 86], [4, 92], [3, 63], [9, 62], [90, 136], [1, 51], [8, 84], [155, 208], [104, 181], [2, 71], [5, 59], [10, 71]]; loss = 0.023980 low_pass_filter = 0.300
+Epoch 0: | | 43909/? [6:55:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 43910; scene = ['07c58ec06695138f', 'da91a6fbdbaf7e7b', '71bc75d5003c5e82', '5d7b26275b9bcfaa', '694c3e22993c93ce', '2b0e8b187cf14973', '14da8693f9a9c525', 'af2e29bba8ee6e72', 'd4e12bcf9891030f', '959f1359e772c180', '83e6990375012c01', '0e0ee14ebe357bd3', '472c849ac7e496ed', '7b926542fc32c523', 'b61c891c19c16e0b', '36016ca319e926d2']; context = [[113, 180], [39, 108], [41, 131], [16, 73], [3, 93], [118, 207], [26, 112], [4, 56], [34, 83], [20, 101], [19, 105], [11, 89], [0, 58], [5, 79], [5, 52], [184, 263]]; loss = 0.025021 low_pass_filter = 0.300
+Epoch 0: | | 43919/? [6:55:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 43920; scene = ['803ff9a491eb2179', '472298ac40ecf118', '7b627176f81c3013', '845acd6a583ba124', '44c36113e6cea8ac', 'f676f819da67d1f7', '5da9ed6155213ba5', '3b454aef39138012', 'cc741538e7d85bb5', 'c8982ca964bb4860', 'b0f2f68540611bb8', 'e558384acd9268e8', '48366367a5fdb244', 'cc91cba26bb436a7', 'ea9df70fa4633f35', '1e342fe217cba528']; context = [[33, 121], [51, 137], [2, 75], [0, 83], [8, 64], [35, 94], [26, 112], [3, 74], [125, 182], [0, 54], [94, 149], [1, 52], [10, 79], [86, 171], [32, 106], [0, 63]]; loss = 0.029963 low_pass_filter = 0.300
+Epoch 0: | | 43929/? [6:55:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 43930; scene = ['995cf7faace19c86', '931e6b34254af15a', '8859e6515aa7ab9a', '2fcde6f2b5ac4db5', '76f02583342a49fc', 'd0c5d78a6d833bda', '1f0fa81c1fe1dc97', '8e90c763d481898b', 'ac9fb9fd9531fee4', '243c74d8df4d4d51', 'aa1df76bfa03ddab', '9c0da524dfdad630', '0b386825ee4147cd', '765564938726223e', '17534d7a8a55fd5d', '924941fefddf42cc']; context = [[109, 159], [15, 60], [6, 64], [6, 52], [99, 176], [79, 166], [6, 60], [1, 59], [32, 101], [4, 52], [7, 61], [2, 74], [1, 52], [1, 90], [41, 121], [5, 95]]; loss = 0.026139 low_pass_filter = 0.300
+Epoch 0: | | 43939/? [6:55:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 43940; scene = ['c0d1a0581fea22d5', 'ef4a334b0a991e22', 'fe2fce8e4eb8f882', 'e242d43a1ef0a6eb', 'f720437b9f3f2185', 'ad7d01ce66eaa31d', '5b4e5590f2d212b0', 'd5d73e1025a23bae', 'f523413a42b1908f', '08bea3131a278709', 'cd9090984c241687', '04173b532caaf033', '89e7653cf66d64d2', '6647e84a85255c82', '4618dce02a9d0713', 'f462a4d3091e912e']; context = [[0, 45], [0, 56], [1, 47], [67, 146], [46, 95], [5, 67], [13, 64], [41, 90], [12, 64], [10, 79], [26, 112], [9, 76], [1, 64], [11, 73], [10, 81], [48, 102]]; loss = 0.020881 low_pass_filter = 0.300
+Epoch 0: | | 43949/? [6:55:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.000train step 43950; scene = ['985a81850d13edfd', '3888df11c21d4db5', '0b77cab786151df6', '8c662a617235e175', '42c32233f309708c', '22c651e15b5d5339', 'cd80c587743d9836', '808d34c910e9f8ff', '99a34d6492f6ccfe', '3b5ecc7fa7f0597c', 'a4919a966610cb3f', '5b01d99e513c4790', 'bc1897c83ee09425', '7f429c7dde9fedbe', 'f99af4c9518d86e7', '0a41b171a01b0296']; context = [[116, 176], [13, 80], [23, 70], [74, 129], [63, 153], [7, 81], [11, 57], [178, 239], [44, 108], [5, 51], [42, 104], [155, 200], [12, 98], [72, 146], [59, 136], [22, 76]]; loss = 0.025378 low_pass_filter = 0.300
+Epoch 0: | | 43959/? [6:55:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 43960; scene = ['3889e4f29991c299', '720cf6e310dbd418', 'a40274cf4468abdb', '2538837da46e96ef', 'e05be237357b2b8b', '742b3562c7150ed5', 'ebc656d976991be7', 'c69595acf57d15b3', '57ac6eb5ba79e061', '6bbf7a220517735e', '30afa4f4c8f72dd5', '9acfad92971ff3f2', '4ae9274ddd246c72', '88d97afc8d56bcec', '2b1474ef6b7f54c1', '3e728ab85f6d379a']; context = [[7, 62], [40, 101], [16, 84], [77, 142], [229, 278], [6, 85], [8, 86], [102, 185], [1, 69], [7, 60], [44, 104], [46, 91], [21, 70], [29, 94], [5, 89], [82, 156]]; loss = 0.024216 low_pass_filter = 0.300
+Epoch 0: | | 43969/? [6:56:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 43970; scene = ['fc6915f078c99c53', 'cfb684150c0d3084', '2b1283adc29ea556', '75bde416bf2a70e9', '2958d238e5aa242d', 'c4064076b7e5e42b', '93d5594a00802532', '32047e8d7765b533', '80d4314fc20d694f', '8a357be8b7d049e1', '2395ecfa5327b13a', 'a3687e6319f47730', '394c8eae897600b0', '4fcec6671d77987c', '3f53a38d77a20a18', '95cc4a86e6e8e823']; context = [[2, 54], [77, 152], [121, 201], [92, 142], [127, 216], [1, 86], [4, 89], [6, 75], [57, 117], [9, 54], [14, 84], [16, 102], [21, 74], [151, 205], [0, 86], [71, 116]]; loss = 0.028927 low_pass_filter = 0.300
+Epoch 0: | | 43979/? [6:56:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 43980; scene = ['e82f58c638cf3f5e', 'e7bb9d4424f4363d', '52ff08cf915f9890', '23c52859f21f94ec', '3b5f903cdb3d9583', '4466e384294450be', '5c4f4ad90a5f0b13', '53bdfb495b390baa', 'a5d3815f564f25b1', '0c23c5d9c2010333', 'e2ab64a2bdf0d0be', '62602df4d400f42e', '593ce715d6f50efe', '48e2fd6a0d7108d4', '72a9d8a95167817d', '189c0ea685eb4a48']; context = [[7, 78], [29, 87], [15, 61], [62, 151], [82, 156], [85, 137], [4, 87], [28, 77], [82, 167], [1, 78], [42, 87], [29, 103], [59, 122], [0, 62], [14, 61], [7, 61]]; loss = 0.026106 low_pass_filter = 0.300
+Epoch 0: | | 43989/? [6:56:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 43990; scene = ['7032a676484c319b', '20551c90baa98c3e', '7c4718692637f698', 'ab3a4b7354892cdf', '505b52fc1cae4f44', '638e1546ab98ee4f', 'afa70997cf926e43', '72cf3b053c899211', '3384e2413c4d783d', 'b081e8a9954f4a7c', '0e98d5c73109d26a', '798a009455e7dfd2', '5a16a09ec30a0816', 'a69d5b40652325e4', 'b95f9f80a31196c6', 'c59210f96ab4a776']; context = [[3, 56], [13, 69], [29, 99], [2, 71], [37, 114], [7, 82], [97, 183], [45, 128], [111, 173], [93, 145], [3, 72], [63, 124], [0, 52], [1, 59], [4, 59], [12, 59]]; loss = 0.022803 low_pass_filter = 0.300
+Epoch 0: | | 43999/? [6:56:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 44000; scene = ['983de178d358e48f', '93ef5f616317a2ff', '3e0be59240322851', 'd5e41b87c1d3928a', '031246664d5c3d67', '28c33171c47829bb', '29b4a05dda3eeb15', '71cee2cdf48a89d7', 'fb5f51d8b4188c7a', '7297c259c805075a', 'a5aaee1765eb23e9', '66726f5afdab740e', 'bad9d8fce9a88d31', '5449702e7a248c83', '975302d5f959f41c', 'a3abe0c419b12a6d']; context = [[59, 104], [45, 105], [118, 188], [18, 96], [26, 101], [29, 99], [1, 58], [9, 81], [81, 157], [2, 47], [76, 129], [175, 243], [41, 115], [3, 52], [32, 81], [58, 129]]; loss = 0.026742 low_pass_filter = 0.300
+Epoch 0: | | 44000/? [6:56:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000validation step 44000; scene = ['645cc7949386d427']; context = [[20, 83]]
+Epoch 0: | | 44009/? [6:56:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 44010; scene = ['a3ea131bf17afb9a', '2f1e8d38e1ae873c', 'd361571b6da2678f', '3b0005e9814db5da', 'ed6c2f8ddb3a0eb3', '1cdb2bc165a499ba', '56aef3223d56ced9', 'df25682ce6cb73ae', 'ed71bd2e9361f16e', '572a612762e1226e', '08d41c1cedeee9e0', '3384da6d323c1626', 'b8ad9c482b18b2bb', '1a5f05ecf38c8ace', '64318ff73b2572b5', 'e40460ece726c71f']; context = [[25, 104], [51, 102], [119, 174], [20, 107], [0, 70], [3, 60], [125, 193], [109, 187], [7, 68], [111, 198], [9, 73], [8, 69], [13, 93], [11, 71], [108, 194], [11, 92]]; loss = 0.041020 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 44019/? [6:56:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 44020; scene = ['0b6805ec5715543f', '1e864d30c35815fa', '173df9656624a093', 'c8ecb6197b43bccd', '12d05cbe03cd6e72', 'c5a0cbe5267c42b4', '63046d3f8570253d', '0e4fabb9c06551de', '589c50b99b3f9f21', 'dc7a324e7e3e0c21', '66a079896a5f5de0', 'c221145e989e0ebe', '9127991e1bcbc9c9', '619fab5acfc50704', 'e17be9060afc6084', 'dda1c2d4bd25e6f1']; context = [[127, 197], [114, 191], [0, 83], [18, 105], [168, 233], [2, 91], [15, 86], [26, 91], [10, 69], [168, 228], [215, 272], [116, 164], [128, 177], [73, 156], [103, 161], [23, 83]]; loss = 0.047787 low_pass_filter = 0.300
+Epoch 0: | | 44029/? [6:56:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 44030; scene = ['a6377dfb4e94b6a5', '1112900e2462a9d6', '5b459016ddb3ba57', '8b3f52086b131151', 'd2cc54627797eb1c', 'ea0cd1a6ce3cb497', '25b4a4bd7f750a5e', '589a63f0ffec1297', '94c931fd2c558de5', 'c93f4d1e44cc81af', '52e8de02bb42c2b3', '6cfe3c7146df3d9d', 'c5e355f5e0003838', '42158adb6f145f4f', '1007050ea4602db0', 'a79925c451666231']; context = [[18, 104], [13, 98], [0, 53], [28, 98], [11, 100], [31, 103], [38, 109], [67, 156], [34, 98], [106, 187], [12, 57], [123, 203], [14, 101], [0, 64], [2, 50], [51, 105]]; loss = 0.031840 low_pass_filter = 0.300
+Epoch 0: | | 44039/? [6:56:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 44040; scene = ['c6a25a9741194cb2', 'b6f793dc97f8680a', 'f4ea66b72953198c', 'ed9de3b95ffec046', '0ff2c8c09eb6a8f9', '1f5c9b2057a61671', '9e7176a195177385', '8c2dea2fd62ec916', '85bc7acec04ffeaf', '4ab2cbe665105a4a', '5848d68e0bc9faec', '5a3f3729128ede4d', 'ec6c0c4fbfba7d89', '8c884bf845224f5a', 'ddbe50b308a28435', 'f35f88954217caa6']; context = [[66, 126], [0, 56], [80, 128], [16, 64], [41, 110], [55, 122], [4, 84], [28, 92], [189, 268], [2, 69], [23, 102], [1, 89], [10, 74], [21, 78], [13, 65], [1, 47]]; loss = 0.030023 low_pass_filter = 0.300
+Epoch 0: | | 44049/? [6:56:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 44050; scene = ['7747f8d4baf479eb', 'eee101a943091fc9', '649307d5095c45db', '8848308b52fd1c26', '7c79705189eff822', 'a20afaa5204a0dd0', 'f76591c4921d769b', '891a2d8c1847a450', 'b687a0112cc8f234', '082f278db0e77982', '533c1156dd347a3d', '4c4749e293cb665b', '5f6b16b0e97a3062', 'd4896139155e24c5', 'ac9475b5f8128e87', '31bec714e9a163e5']; context = [[17, 62], [5, 91], [0, 70], [3, 51], [54, 140], [36, 87], [63, 111], [3, 70], [45, 110], [51, 109], [176, 224], [88, 152], [68, 145], [16, 64], [9, 60], [2, 47]]; loss = 0.026855 low_pass_filter = 0.300
+Epoch 0: | | 44059/? [6:56:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 44060; scene = ['5fd925386deb1ba8', '0b088d8f468b423b', 'fea7244ac3326db7', 'e074ce19458e9c83', '90b23bbaea5c81da', '1b0e717e91cce82e', '0051d3a3ada580af', 'af89e3c28485114d', '9317c49bbcccdc77', '1c1795bc383c22df', 'f8a62db70bf0e0a0', 'c2c1a72d431ffcff', 'a9c31c9a3c4c44ae', 'c690e67a715dcada', '61357024a5c7a67a', '15a5cd0f74a514f8']; context = [[82, 166], [38, 104], [20, 86], [9, 69], [23, 98], [8, 66], [11, 57], [20, 87], [12, 85], [2, 63], [7, 69], [7, 77], [15, 67], [136, 197], [10, 91], [6, 70]]; loss = 0.022433 low_pass_filter = 0.300
+Epoch 0: | | 44069/? [6:56:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 44070; scene = ['09d8152f20999cdf', 'e7344d391585afd6', '9c016698821f4400', '749c8153a4063123', '998668fcaa156c0d', 'cf53b8a78207a9c2', '14cb1caa8f185f3c', 'f7de70fa3e0888e4', 'df709a9df3c44a6f', '4674c9925539aad9', 'd7b8aa8b102928ff', '8cd0d1e0b22eb70d', '0cb2e4117ded4d8e', '9dc9f592967c0765', '431adcc96d3e7f9b', '1f61a254477e0f4c']; context = [[0, 57], [5, 57], [68, 130], [19, 93], [1, 86], [8, 83], [1, 48], [0, 45], [4, 63], [33, 112], [61, 113], [165, 255], [19, 71], [0, 82], [33, 87], [4, 75]]; loss = 0.027276 low_pass_filter = 0.300
+Epoch 0: | | 44079/? [6:57:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 44080; scene = ['4671540a86c8b051', '1df4c50a6d867f43', '1bbbca2236ee4230', '38f6b2d7b3929a61', 'f91bb3b27b67a83a', 'a61585eb9e5cae15', '0947cd60364c7a00', 'b8a0d98cf50a7f4a', 'bf06a2187ba5ee89', '022c8b3bf09953d5', '175a499efb67c13c', '1e39c8f4227974ff', '60be15a3ad83648a', 'd54be14960a96623', 'a1ceea81e1cc2dcc', 'adaae18b87cb04ce']; context = [[5, 56], [12, 62], [4, 92], [2, 66], [18, 96], [6, 56], [0, 49], [4, 60], [0, 83], [16, 67], [27, 96], [1, 57], [10, 73], [4, 90], [164, 239], [27, 105]]; loss = 0.027491 low_pass_filter = 0.300
+Epoch 0: | | 44089/? [6:57:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 44090; scene = ['1bf22ffc981d8d25', '2b89a5ffcb498fac', 'f994255b6cad5bd6', '7fd87451d9940559', 'bbbd69e2e2beea48', '9f321b3d590f82c5', '5cd347f1514b5e17', 'ad1ab6f6fa4bc6ad', '676d8f7647d00d86', 'e91c5ca70f486da3', 'fdcb3ea2a4ac0dfb', '8d7519b2e98e73b0', '30d16ba84d4cefaa', 'a965dbff622934f3', '1fa171aabc7b86ed', '9b0c4533ac7866e2']; context = [[142, 224], [28, 82], [3, 49], [1, 68], [15, 63], [106, 190], [6, 85], [2, 87], [31, 111], [84, 153], [5, 72], [2, 50], [43, 110], [15, 102], [32, 116], [102, 155]]; loss = 0.026569 low_pass_filter = 0.300
+Epoch 0: | | 44099/? [6:57:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 44100; scene = ['d101a39a319befa5', '0b3450e60786b915', '24709bfd3eb54bed', 'f471211bbbc65a17', '4444717bbd6638d5', 'cb2397daeb2ee8e4', '62ed93b209157a0e', '6a00254256e7d9ca', 'eaaf81aa1bc440be', 'd8ecce19c527bd68', 'f64045579327a423', '1d8bf12e2ba493f9', '87035f1ba62732a4', '2d77b1dd90856337', '8e92a7934ae4139c', '3990880b3e15ac36']; context = [[3, 92], [7, 67], [25, 114], [39, 109], [30, 97], [79, 150], [83, 139], [23, 107], [103, 168], [43, 116], [14, 70], [4, 62], [39, 122], [26, 80], [24, 73], [7, 83]]; loss = 0.029508 low_pass_filter = 0.300
+Epoch 0: | | 44109/? [6:57:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 44110; scene = ['998b6467b6301a33', 'f01e99ab810e4019', 'e69e5f4ed16dece5', '4fd849e3dcbb6a13', 'c3f2f8a62aa92419', '0b8494a5c91c18a9', '7e7f5feb008dd9fb', '52ebb1e5244c98f8', '89a9e39e205dcdf5', '50321b969aeed936', '563209f8f6fa0856', 'ad8ed44bc4adc65f', 'bc9ed05d37d20268', '5902666d915570b0', 'ea194405414b27e5', '469851b0a8d554c8']; context = [[12, 95], [10, 88], [46, 118], [109, 179], [9, 74], [2, 71], [18, 68], [4, 65], [24, 110], [6, 64], [17, 87], [9, 80], [83, 141], [0, 73], [73, 126], [1, 66]]; loss = 0.021551 low_pass_filter = 0.300
+Epoch 0: | | 44119/? [6:57:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 44120; scene = ['7f427872b14cbe12', '677a9cd698b2eba5', '4a375fa7af6b1dce', 'eeb3b613495c5680', 'b6b6249067e22a69', 'a9f1c9d9bc9bdf0b', 'f7a74e0520117195', '6c24f4a41780d884', '94841d39236a40ee', 'bbfa87d9c959aec1', 'a931b461d6725481', 'da3f458e49c442bb', '3d7dfcfce85588a6', '277a96ce456580f4', '71f2a56f5807d8cd', '786cc15dbe60b001']; context = [[7, 52], [42, 132], [101, 176], [75, 151], [21, 75], [134, 222], [5, 69], [27, 117], [19, 74], [13, 61], [12, 85], [2, 68], [2, 80], [46, 102], [52, 107], [7, 53]]; loss = 0.028573 low_pass_filter = 0.300
+Epoch 0: | | 44129/? [6:57:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 44130; scene = ['edd3751dc8cbb486', '0ed722850582d94a', 'f8bf2fef06336b12', '19f4d7a017c190a5', '1195bbd1355cdcb1', 'd6d2b9231c14b140', 'f9eb1bd8462ced40', '39ff492c91df61da', 'd34adbecbd9fc68e', '798d4e7752255a53', '0ddbd037f8183e3a', '0f941bf5ec6453a0', '590fb5ac33ed6860', '33d8c1a4053c0af6', '914a2a719cc88175', 'f4a0645f7254a5fa']; context = [[45, 96], [6, 84], [0, 46], [14, 103], [73, 118], [0, 79], [0, 67], [23, 91], [115, 204], [67, 138], [30, 87], [15, 95], [3, 83], [124, 175], [185, 245], [0, 47]]; loss = 0.030557 low_pass_filter = 0.300
+Epoch 0: | | 44139/? [6:57:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 44140; scene = ['4d77a7a57dc6747f', '6800ac6887f5d57c', '2115526d696f0157', 'e6c460ceba829ebe', 'e3e0aa84f64bd071', 'd6f6e44bb830dcb2', 'dd7313c8e8db7db8', '282fb38dd02724d3', 'cd4cc783a73ee141', '3361ad53264a7c90', '2101e505ce777ee0', '964b86c3822c6381', '5cc6cd5366cbbe2b', '4f8a2a2eda771eb0', '0637e12cbe3bf018', 'c0b57a0faa740fe3']; context = [[0, 46], [8, 66], [2, 73], [30, 99], [51, 118], [44, 105], [5, 56], [117, 173], [71, 135], [136, 187], [16, 91], [14, 82], [2, 50], [18, 67], [1, 68], [102, 182]]; loss = 0.024516 low_pass_filter = 0.300
+Epoch 0: | | 44149/? [6:57:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 44150; scene = ['cf05de0bba53f3ba', 'ed38782db0d369de', 'd43b3efae89891f6', '5900d7afad8a08d9', '012f24ca4b69e4d8', 'a03b1ac1710862b9', 'f401287d77578677', '9f11368d5c9314ca', 'f656c8cb690eca24', '228f67bb3f7257e3', '9d574765cf7838db', '2a1e96e3617a107f', '4a8ac5130ee459da', '3cc86b7a240d9487', '84492f306580629c', 'ea55d305813d95ff']; context = [[142, 189], [119, 186], [0, 64], [2, 77], [56, 128], [7, 69], [92, 147], [72, 145], [5, 52], [5, 81], [34, 81], [56, 120], [3, 74], [46, 130], [0, 45], [0, 47]]; loss = 0.036727 low_pass_filter = 0.300
+Epoch 0: | | 44159/? [6:57:49<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 44160; scene = ['5e7cc1952a622fc7', '62a41152e0103736', '934abcda4ab6700a', 'cfdced6ed0dc318d', 'ca042138cc5291a8', '9e4bbe87809330fc', '01a8f17430811e07', '43133ee21899e29b', '041e80ca1179ed69', '44cb993e19c042ab', '91a5dc05e579c726', 'bf0c5cb654dd1e0b', 'b1c215c60a91a1dd', 'a56927ac0e84b487', '88dcb5cdf83eef5c', '969e0fb4ea498d2a']; context = [[12, 76], [20, 103], [19, 86], [175, 227], [20, 110], [57, 145], [24, 112], [58, 125], [17, 71], [6, 58], [24, 100], [91, 171], [1, 81], [12, 77], [12, 66], [10, 70]]; loss = 0.024691 low_pass_filter = 0.300
+Epoch 0: | | 44169/? [6:57:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 44170; scene = ['ec5b8fa33a3c13f8', '249999a5e697663c', 'f16395c74b325ae1', '53bcd9c6deece10a', 'e91a2a9bdbfc89d8', '21b61355fe038403', '36ea0616c1164586', 'bbdc1aee3d7cd0a7', 'd3175d40e3679fd5', 'f0a00f9a911bb06f', '8d2e1979951f312f', 'ea2a12743d11799a', 'a1090f862d52c28d', '2c1ca81772b3d326', 'f1bb81b38686646d', '9ffa3d4808be4b87']; context = [[36, 109], [60, 150], [231, 277], [0, 54], [3, 80], [26, 114], [35, 115], [1, 58], [77, 150], [6, 61], [159, 209], [1, 47], [40, 116], [0, 58], [198, 266], [0, 60]]; loss = 0.028262 low_pass_filter = 0.300
+Epoch 0: | | 44179/? [6:58:00<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 44180; scene = ['f8fb59071f05cb6d', '7aec8305761aba3c', '35755b6118b6d717', 'b4afa5f85689421b', 'c446f53261d897f1', '932ea026016413e6', 'a0dafac2946dbe6e', 'fd99ff534b6aa674', '8b1f0dd0d1c5b118', 'faf629d360a6ca34', '372aaded63119658', 'c6a52e7103129e02', '8f478c5923eb1553', '0ba7834f81857ea0', '1b9a3a865fd6729f', '608adb2a65c7e52b']; context = [[3, 50], [93, 180], [49, 137], [45, 110], [0, 84], [2, 61], [10, 84], [52, 107], [0, 55], [63, 115], [0, 50], [16, 100], [44, 108], [0, 77], [87, 141], [22, 110]]; loss = 0.029930 low_pass_filter = 0.300
+Epoch 0: | | 44189/? [6:58:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 44190; scene = ['74c29d0b7eb8728b', '6530f4e60599a4f0', '5bdceb769e5b3926', '9c6ae5f9ffede923', '6a27f031bc3f1193', '022d410bd702ba81', '9ee6eb6b5ed77669', 'e337c8bd7871665e', '3dae33d69aeb37eb', '942b118a240ea082', 'fea3f95a45ab50a6', '94c795aa5ad1a067', '9ce0bc93c1d4c9a2', '3e6087e41c84488e', 'b7cb71720f2c8402', '84c9a1d7bc246876']; context = [[9, 57], [14, 101], [12, 75], [80, 144], [35, 99], [1, 48], [3, 50], [1, 47], [18, 65], [8, 80], [10, 58], [22, 110], [8, 79], [38, 127], [22, 100], [35, 122]]; loss = 0.024252 low_pass_filter = 0.300
+Epoch 0: | | 44199/? [6:58:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 44200; scene = ['fddbc6d91c32a72b', 'bdd08755eb0975e0', '3f869d7524f5cc0c', '00407b3f1bad1493', '85eedea168febda5', 'a3ffb95aeb6475c4', 'd63b1b3960f4811c', '2b21a54efdc5de8b', 'db7eafb0f55568d7', 'f748cbf4640f63ea', '77c705f41b22de6b', 'fb66585f6360b36e', 'da595021fea9f85d', '6854b28be879be74', 'ee69514b21676244', '0284a77587f91afb']; context = [[52, 111], [18, 105], [74, 127], [41, 114], [46, 120], [0, 64], [2, 58], [15, 75], [7, 56], [64, 141], [34, 98], [43, 89], [22, 90], [83, 151], [23, 78], [21, 100]]; loss = 0.023121 low_pass_filter = 0.300
+Epoch 0: | | 44209/? [6:58:17<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 44210; scene = ['cd3f80e2f7a82583', '1368397e2dcceed5', '6fd0a32acb5e9be2', '44ca078432802942', '18dff95c712c43cd', '5f204ad1cc82ddaf', 'e93bcdd32f6201d2', 'b2002f67cd58c3f3', 'fefbac7ae3dcaf5c', '8b43bf4714cafd7c', '586c40e55dd9917b', '3a89f41e5980d3f8', '9054ce433694ecb3', 'c2c54fc36968cda8', 'cb737f7107cee760', '124e818bc6629165']; context = [[47, 107], [5, 57], [0, 90], [42, 131], [9, 92], [1, 81], [6, 75], [1, 56], [16, 69], [11, 99], [20, 69], [17, 76], [184, 243], [0, 58], [98, 154], [194, 242]]; loss = 0.049830 low_pass_filter = 0.300
+Epoch 0: | | 44219/? [6:58:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 44220; scene = ['2f404f627ef3db9e', 'cd74d347cde05f5a', '23b48c0014ee6697', '6357d52b51177465', 'fb303711d5b13b89', '38d35ba6f17e9d95', '66711c996dd1e5c9', 'f1f9d16552e2462c', '0b61005b0dc72edf', '4fa421ffe5875b39', 'e6decd3548cf13ca', 'fea1563243b60527', '4cfab36d5c97fe3f', '8b9464ff35895e7a', '20560c2074161402', '3f6f33974d5ad2aa']; context = [[1, 46], [31, 85], [33, 107], [41, 104], [7, 53], [35, 121], [0, 59], [1, 48], [12, 68], [18, 103], [9, 98], [73, 150], [44, 97], [7, 74], [118, 163], [24, 92]]; loss = 0.026881 low_pass_filter = 0.300
+Epoch 0: | | 44229/? [6:58:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 44230; scene = ['22f67b17a5d5fc3b', '918e7f5dbeffb993', '17146181d3806e58', '8d19a7fdcfaf26e6', '2b2e41a1dc4b35ca', 'e772de3085cc5ddd', '8b2c69b736f247cd', '49b45aa23911e0f2', '073b1b758d5b58a5', '7ec761021eb0028b', 'fcb56cad6e48c882', 'ed620e1c813d47b6', 'ac4bb258d49d0f98', '16a7d92bd74000a1', 'bdd49bcddc2a23ad', '999960df0bd1b66b']; context = [[51, 101], [3, 56], [137, 182], [24, 74], [63, 117], [1, 54], [13, 60], [23, 81], [2, 48], [29, 106], [5, 88], [0, 47], [2, 53], [14, 66], [32, 93], [1, 75]]; loss = 0.027445 low_pass_filter = 0.300
+Epoch 0: | | 44239/? [6:58:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 44240; scene = ['ff75d3f7963cdb40', 'b86901107267f588', '215582bd3fed4d11', 'c5f76f45f6ba6088', '6a88a683d5b9ab7d', 'a347f866d6bcc108', '0f199a463f36d52a', '7eb469a50ba1bdba', '6c19062171a4f85d', '7eecdc047fa4f61b', '1ff6f068edd2bc64', 'cb7b0766b8412221', '81ff93a784a29510', '25672d21b37e4869', '9beac3cf904bf329', 'b63e4698070a825d']; context = [[105, 178], [1, 72], [76, 153], [0, 60], [27, 116], [11, 69], [9, 99], [12, 69], [42, 110], [94, 184], [19, 67], [52, 106], [52, 119], [5, 61], [23, 76], [78, 131]]; loss = 0.029003 low_pass_filter = 0.300
+Epoch 0: | | 44249/? [6:58:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 44250; scene = ['f1d37c37b26e7be4', 'e0fb27c2c232697e', '99620b4262b132a8', '8e2f3bf63d24d3b3', 'dd79dc72abfc0614', '1213ca9c64a0e0cc', 'bd17df2a73c9610c', 'b7a4d8bb62482f41', '45640ebc88e55a99', 'cc3b2bb760ce5ade', '9995ebd239715b8e', '97be57ad8c57e50e', 'eebbabe770803962', '2e25e9e465061299', 'b4f2c7ee86d08c24', 'd353a9851abaa4ca']; context = [[15, 93], [20, 86], [1, 62], [99, 146], [7, 85], [60, 147], [178, 230], [64, 114], [56, 111], [12, 60], [26, 80], [137, 199], [13, 69], [152, 203], [10, 100], [30, 109]]; loss = 0.029132 low_pass_filter = 0.300
+Epoch 0: | | 44259/? [6:58:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 44260; scene = ['84d8644226591c5c', '511c2e6527e14026', 'fe1e93a2224e2631', '62b3461053596e67', '87407df62e8e3604', '6f5924539f3e8804', '01eb06e5a91df1f4', 'f185b5c77db4e07f', '87491783936d3687', '6df21c9dc6f62fc8', 'b3024d5eed3fc048', '6d11baba6b38174a', '89b2c9e4a99b23ec', 'bd7b4ace36548ded', 'c26b8903c5f2e18c', '779301fd4a30e32f']; context = [[20, 82], [4, 76], [153, 216], [35, 113], [180, 248], [14, 59], [1, 52], [4, 52], [59, 122], [0, 48], [76, 133], [1, 74], [6, 90], [6, 53], [78, 148], [58, 113]]; loss = 0.028042 low_pass_filter = 0.300
+Epoch 0: | | 44269/? [6:58:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 44270; scene = ['662bb59ab9f410a3', '7351b1a8a7405871', 'fe9c6c63360e43c2', 'cfddf9bb9307d661', '321addf5693a66aa', 'b46547428ff2b071', '36207c22e4ef1437', 'd75bee1cfe6eb53f', 'd3d8f60e4ba32fae', 'dc068443ff649ed5', 'a517f1d63f03aae6', 'b63a129577a096a2', '465485854dea3a8f', '0d4271ec086413ab', '4cd552b90b7668a4', '6b481d7f8c3e3887']; context = [[15, 99], [38, 84], [117, 194], [98, 170], [3, 69], [2, 50], [98, 182], [37, 88], [7, 56], [0, 85], [2, 84], [4, 90], [3, 59], [2, 65], [144, 194], [148, 206]]; loss = 0.028453 low_pass_filter = 0.300
+Epoch 0: | | 44279/? [6:58:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 44280; scene = ['da0fad2070e6c0dd', 'e17208be486cc7a7', '1251592126203554', '6daed58f9f82a5ca', '0f62ec5c20682f71', '69990ac966f55d33', 'dbac9841157230ce', '56db1d6fc942bc90', '6acaceae77f75500', 'd91a42243deb04e3', '1b24cf4a586a15e7', '4bbb9fadc993969a', '7194b8d204f4a0b6', '4e8e3034d0aa307b', '6bef29b74b93e80a', '79c41801a595cd0d']; context = [[3, 62], [82, 137], [2, 50], [4, 77], [16, 99], [2, 83], [191, 257], [142, 213], [30, 118], [46, 97], [22, 85], [0, 47], [116, 170], [157, 239], [33, 92], [91, 181]]; loss = 0.027666 low_pass_filter = 0.300
+Epoch 0: | | 44289/? [6:59:02<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 44290; scene = ['f0680c43c5c34858', '51df571bb0616703', '1c50722fddad9593', '27b9b6d8520b476c', 'a00596889eff80ec', '28da1359e6e9937d', '4385a3b16d321702', 'ec9f85b999210b88', 'a0e621ae35148a18', '4444717bbd6638d5', '0b3450e60786b915', '24709bfd3eb54bed', '615d2eda2a3d4f7b', 'd101a39a319befa5', 'b2ce83d2be098fbc', 'f471211bbbc65a17']; context = [[62, 150], [77, 141], [11, 66], [157, 230], [2, 84], [160, 236], [4, 50], [15, 89], [113, 173], [27, 84], [0, 64], [97, 173], [23, 96], [16, 94], [23, 92], [21, 102]]; loss = 0.025475 low_pass_filter = 0.300
+Epoch 0: | | 44299/? [6:59:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 44300; scene = ['e46623a7d46b50d6', '4daf1a5b162d8f4f', '8032cb2f4ac9e342', '52db89abd8555220', 'a097d380653acdb1', '5e00df3469fadafe', '5b25bdb3283b2c51', '88e020ce5aa6eabf', 'afbfa0574679e1a0', 'c32ded7df94faf26', 'db6f388d9cf9da27', '90da7d275e530d74', 'e8d2cebc08b3747a', '3a1514aa37ee61ab', '02bb80a43e25989e', '1aa067875411b6fd']; context = [[33, 123], [36, 95], [36, 106], [52, 119], [3, 69], [94, 162], [57, 121], [19, 67], [3, 87], [2, 52], [1, 83], [0, 45], [16, 105], [7, 74], [137, 205], [58, 107]]; loss = 0.028595 low_pass_filter = 0.300
+Epoch 0: | | 44309/? [6:59:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 44310; scene = ['5a1c3e7d540db485', '7ca92f7455e150c5', '08f62581d3c0cd3b', 'c4bf2152a0e7adaf', '58e8e6dad2fdcfbf', '84669dc88abb2e9c', 'c3278a0759c29f0b', '56831578d232b718', '184995ceac7aa6b7', '295bb11f848613c1', '73b0f5e4d3c173f6', 'c03f0fd23901bbda', 'f247f6af52790472', 'adb394a7cad27fdc', 'e8c465654329baa4', '802520a7ddfd5f22']; context = [[1, 76], [7, 70], [11, 57], [27, 95], [7, 69], [56, 121], [43, 113], [0, 47], [0, 81], [0, 45], [69, 136], [140, 215], [47, 95], [20, 79], [50, 100], [30, 83]]; loss = 0.025081 low_pass_filter = 0.300
+Epoch 0: | | 44319/? [6:59:19<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 44320; scene = ['8bd7c7d5d956e70f', '571b1c65cb66df94', '3fd051acceb87333', 'e69b2e2b9909e847', '498aae6952e2e0ed', 'fa037f2a55450c9c', '7ca10985084da77f', '26c1372d50e49c83', '9bc08616571aaf44', 'f1243209c64904cb', 'b8e21d629c0dc76b', 'c3bbcee94ab6ff1b', '54cf901f43d77bb2', '13f84c9e46eb697c', '92971b350374bdb9', '7173e6107342f9bb']; context = [[2, 48], [5, 61], [10, 58], [156, 220], [11, 87], [29, 113], [51, 109], [10, 94], [19, 70], [87, 167], [24, 72], [12, 101], [2, 52], [58, 128], [7, 66], [4, 49]]; loss = 0.026492 low_pass_filter = 0.300
+Epoch 0: | | 44329/? [6:59:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 44330; scene = ['360522a132341bfc', 'db94d811017ceff9', 'a17ad78f3de1747f', '4b57460bfcb3622c', 'e2f8593ab819939c', '82065e7ce51acd3a', '346c571507de5452', '9d5d32f2e63f94a6', '07b91d8606616953', 'e160faecc21bd431', '261bdda76d7124cf', 'ba681e5557b24568', '6e65795a976312b7', 'df63cd7eb6e92486', 'e3d66ec0999d7a5b', 'f2871fcf37ef0afa']; context = [[177, 232], [102, 156], [0, 54], [30, 106], [0, 58], [78, 140], [5, 64], [0, 71], [5, 54], [15, 72], [73, 135], [2, 47], [20, 81], [3, 80], [14, 103], [49, 117]]; loss = 0.028107 low_pass_filter = 0.300
+Epoch 0: | | 44339/? [6:59:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 44340; scene = ['5b56bc954e1facf7', '7ab9776ea53a33be', '10dbf6c5afec6956', 'a0514dbd97164249', 'af8138fd057cb9ba', 'a5e7bac0c5ec864e', '6afc875a18e9cc63', 'c0a547f524acd02d', '58a0cb2ee7df863b', 'c7645cce7e407723', '3f27e74e06018bdd', '51a07a8cfd4f165a', '30df33671d4fa936', '0658339e887c406c', 'f8323afafadbfbae', 'dfc6659f7454564e']; context = [[2, 85], [7, 77], [23, 103], [164, 224], [37, 117], [16, 88], [8, 71], [103, 158], [11, 96], [1, 46], [47, 124], [91, 174], [9, 99], [37, 118], [152, 238], [133, 220]]; loss = 0.029825 low_pass_filter = 0.300
+Epoch 0: | | 44349/? [6:59:36<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 44350; scene = ['9ff2d2e5e03e4a46', 'db2e762460f62ca8', '17a7065ae9a39fe9', 'dea74d1115ddc740', '8d7ae402a4c0ffe1', '8a373f69acc27107', '160277a8ea84893b', '1a082becf34d9d76', 'fbb1715906db0bf8', '3da3497f8e19b030', 'aeb546089ce83e55', 'c3d2af250bc1f3a8', '08ce1e4ccb1f4964', 'c8041821e77b3d89', 'b75e800d18bafa7a', '6e58885ab481a69e']; context = [[61, 136], [0, 54], [0, 47], [37, 82], [11, 69], [32, 90], [114, 159], [5, 69], [22, 98], [4, 70], [34, 81], [145, 231], [2, 76], [10, 55], [128, 191], [13, 58]]; loss = 0.026102 low_pass_filter = 0.300
+Epoch 0: | | 44359/? [6:59:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 44360; scene = ['ac030ef563710103', '103792bf6a24849b', 'c2a910981ea58dd6', '2c4bf4c81f761386', '154ffc3f70fe9019', '131a064a5ab68a39', 'fbc2ebad8df77f1f', '2cf0df5ede50bd1d', 'c2e363674f808d28', 'bedb0dffc6d80b4e', 'f896f057f530ebce', '568246aa43b60985', 'c472a0ece0937100', '62aee613a1a82b79', '8d1277d3bb07035e', '12d54b02fe9d16e1']; context = [[68, 144], [159, 212], [20, 70], [147, 234], [42, 97], [27, 84], [29, 83], [131, 183], [30, 105], [18, 90], [78, 154], [8, 63], [4, 56], [57, 112], [39, 126], [5, 89]]; loss = 0.020928 low_pass_filter = 0.300
+Epoch 0: | | 44369/? [6:59:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.20, train/active_min_children_step=4.000train step 44370; scene = ['d6624c56a6590f71', '8d735e8ed8911783', 'b779e1e2005f2fe9', '2855efbe48260b09', 'b0b5b54c3e1f9290', 'e84cd5fe5f7314ad', '146bae64f879b134', '4277f29e70ca77ae', '5f53273e365f8b6c', '9d54b3b624d9b66f', '2d52f8760e25680f', '1db656924dd94e45', '711034bf4923bb96', '3d5b8dda0216bab4', 'a40627dd8a2d655e', 'bd350836c05db281']; context = [[9, 54], [7, 62], [107, 157], [5, 72], [23, 79], [147, 219], [53, 108], [195, 256], [39, 90], [1, 70], [5, 53], [13, 66], [8, 54], [2, 64], [89, 140], [1, 55]]; loss = 0.029072 low_pass_filter = 0.300
+Epoch 0: | | 44379/? [6:59:53<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 44380; scene = ['af4dff7016287971', '557f8c7222f4094f', '55bc2a5f8dd8c274', '14d6407edcc83d44', '70548ca1eb39d2ea', '728aabaad15c4852', '5bf54b9911827a9d', 'c79896b4ed843482', 'fc7ce4aebcd1d2b7', '1fdf3f2fbffeacee', 'a5de552e69fbce79', 'b1a16d59285b517b', '40801df8576367af', '07c83bb5515085c3', '9bb61a9d88d791f9', '703823150f4adadb']; context = [[118, 172], [27, 88], [85, 166], [43, 116], [3, 85], [1, 59], [2, 56], [97, 159], [78, 136], [96, 157], [18, 89], [13, 99], [1, 79], [1, 77], [152, 201], [110, 198]]; loss = 0.027378 low_pass_filter = 0.300
+Epoch 0: | | 44389/? [6:59:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 44390; scene = ['71499e389bdaea92', '920891e5bfb74f6a', 'cb64aaa680fba010', 'da3f458e49c442bb', '277a96ce456580f4', '786cc15dbe60b001', '71f2a56f5807d8cd', '3d7dfcfce85588a6', 'a9f1c9d9bc9bdf0b', '6c24f4a41780d884', 'f7a74e0520117195', 'a931b461d6725481', '738ea97b91ab1d52', '94841d39236a40ee', '14f68c00678fdacc', 'bbfa87d9c959aec1']; context = [[51, 113], [4, 68], [188, 272], [0, 49], [2, 50], [210, 277], [37, 119], [11, 58], [78, 153], [74, 123], [3, 80], [111, 172], [153, 217], [19, 79], [2, 48], [0, 49]]; loss = 0.027639 low_pass_filter = 0.300
+Epoch 0: | | 44399/? [7:00:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 44400; scene = ['da6ab468a5630616', '7db8c4965bba509a', 'd4cc5c4887f72d3e', '2517e14bc498b4f8', 'cf96acfe14a34f96', '52983a3110a185fe', '36020c6c8008b3b5', '0284951ff54ee710', 'e513de8cae71180e', '5c6f91cf582708ed', 'ca2fe8b44e617133', '913fb4d757212f2d', '1287386498681744', 'e2dcc1004ef5eb8c', 'b33a29e1340cb581', 'f7e30aedb1da3cb0']; context = [[0, 47], [2, 56], [75, 126], [14, 93], [24, 78], [16, 96], [6, 56], [2, 67], [22, 102], [16, 75], [15, 81], [173, 236], [164, 248], [53, 100], [36, 94], [18, 70]]; loss = 0.025240 low_pass_filter = 0.300
+Epoch 0: | | 44409/? [7:00:10<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 44410; scene = ['1ff50e90731cd85d', '86c8c9b0a6200b4a', '5c6eb6a2caa8b53c', '501a6f4480ce533e', '75d7982a76052a50', '061e2dfaf96677fb', '7d70798a0178383e', '3650acf4e144d660', 'cc095b6f7aaeff1f', '44033cb44fc70e62', '468d05fe9cae4c74', '6584d26cd17e774e', 'd92fe6617d7f8753', 'ba2d21290ad804a6', '55b6f9d7fd7b048f', '747758f69ad48072']; context = [[4, 49], [4, 88], [23, 105], [5, 84], [12, 69], [6, 94], [4, 79], [120, 199], [12, 61], [34, 79], [219, 265], [0, 53], [0, 47], [55, 140], [61, 111], [0, 47]]; loss = 0.026985 low_pass_filter = 0.300
+Epoch 0: | | 44419/? [7:00:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.00, train/active_min_children_step=4.000train step 44420; scene = ['3061dd6569af7ef4', 'f9cfbd6bb844eaa4', '6634dce5a1e5a997', '0744c33d52be47ea', 'a67ff330021239e1', '25bd03283afbf268', '29a5370dda4ecd56', '72606e5ffcbe0bac', 'cb8d6f52af9edd41', 'ee74691f92b13a07', '7b58cbb80da4b748', 'a8b78c0dcd5a10dd', 'b514b294a14bbd20', '3ceafda325ca5d89', '3608f1d16a591c54', '1dae541a36d32e0c']; context = [[65, 115], [1, 62], [14, 92], [1, 84], [103, 168], [5, 62], [10, 68], [43, 132], [11, 66], [2, 51], [5, 92], [0, 46], [6, 64], [55, 109], [22, 99], [7, 64]]; loss = 0.032439 low_pass_filter = 0.300
+Epoch 0: | | 44429/? [7:00:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 44430; scene = ['0139d9fa2834c496', '8b8a871ef6c8045b', '1d60c040046aab31', '6c3a8d059e82f912', '3765ecbfb3a165bd', '1cbee92f071ca0fb', '344b8a6319bec5ab', '2cdc2ed1b8813ab1', '3691cd26c7100116', 'f23e4d3afc46ac29', 'd678738b34c57d8a', '57f5506e3257f4b2', '2717a1836dbb53d9', 'c2d56785690fef5c', '9bae213a2e0667da', '97d48083a9c554ef']; context = [[122, 200], [39, 109], [44, 109], [5, 75], [145, 221], [153, 204], [70, 156], [23, 112], [11, 101], [63, 119], [9, 75], [97, 166], [0, 72], [153, 207], [12, 98], [4, 63]]; loss = 0.052528 low_pass_filter = 0.300
+Epoch 0: | | 44439/? [7:00:27<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 44440; scene = ['4c60319eacf0b3d0', 'cd4ded36b30a9d00', '965b54022afdb14f', '3b3eac398b0f59ba', '0e7656a39389616d', 'd2a8948d03eafd29', '7039734be2f00317', '1d81f59588ab98f5', '5f0a8cfefdaaedcc', 'fc68db62b98934af', '8c67d77a1f9a6b14', 'cc64908cbb514ebd', 'd0a703be7fbaa9db', '51d0544fae56e467', 'd1b9a1b70474466f', '2e770da39beca629']; context = [[3, 63], [131, 194], [6, 63], [58, 115], [13, 82], [57, 130], [1, 84], [34, 105], [178, 231], [26, 110], [20, 101], [0, 61], [108, 156], [89, 154], [0, 57], [41, 111]]; loss = 0.024405 low_pass_filter = 0.300
+Epoch 0: | | 44449/? [7:00:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 44450; scene = ['43c173591e7de4e9', 'a1d8ab6deefc971a', '7dc497c9d9fc9dbe', 'e6683441e899b7ad', 'c73d3bd74c1973fe', '3e07ac19a6be1efd', 'ba9c1f1d7b31aa0c', 'e5a612f26db49308', 'e7bc763f52f6d941', 'e0a88916f5977690', '8d96b0810c1474f0', 'ebe21549c614d5e2', '343a4e21bc309742', '8af7af40f69b8edc', '48d7fd81ca2aa8f0', '0c681aad5c4df8f0']; context = [[146, 231], [9, 97], [10, 62], [39, 85], [13, 82], [61, 134], [1, 78], [19, 102], [2, 81], [57, 134], [66, 116], [66, 132], [105, 187], [1, 46], [3, 62], [210, 264]]; loss = 0.046064 low_pass_filter = 0.300
+Epoch 0: | | 44459/? [7:00:38<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 44460; scene = ['e0fc8d5106e28ee2', 'baa0a61d22b9e051', 'd8a2cf8b506f71c7', 'ade900eea4013390', 'ae9f87b6c5c2c5de', '71bb80ab49a07c24', '6b3e1c805ca87fd7', 'ce5fbfc75c316c2c', 'd59c00fd440ac6c5', 'b0a37b9cfe759de1', '22edf9279359ca32', 'cb2b368e1872f0fb', '61cdbe0f820614ee', '075784c69c746731', 'ce072a0a0665a1f8', '357d019a023312c7']; context = [[2, 62], [23, 100], [18, 84], [12, 72], [0, 87], [154, 213], [17, 97], [97, 173], [147, 218], [25, 74], [21, 89], [14, 78], [36, 114], [29, 109], [14, 77], [5, 89]]; loss = 0.021477 low_pass_filter = 0.300
+Epoch 0: | | 44469/? [7:00:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 44470; scene = ['cf78433dadf58175', 'c7f3ba9289f424d4', '251522536184bbb1', '3bb54d65291fd396', '0849a021a3a51cb5', 'f765a2b14a33fffe', '4085aff1753b53ac', 'af96623802f4dddb', 'fc91f4cded72d92e', '9e3c6f6868453f09', '5129718570b4de96', '1d4f8bd46c960db8', 'c643bb23eba2cf21', '441fb31750988576', 'cd1a8676555704d1', 'abd404032954ee04']; context = [[6, 74], [136, 184], [28, 81], [182, 272], [23, 82], [35, 93], [10, 57], [86, 165], [44, 129], [5, 85], [107, 164], [16, 86], [16, 106], [12, 72], [30, 106], [2, 50]]; loss = 0.023997 low_pass_filter = 0.300
+Epoch 0: | | 44479/? [7:00:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 44480; scene = ['817eacbf366cb02c', '043b1c5d141de8bd', 'f02861ed6d0329b5', '63a09885afeaa9ef', 'f29b03bb0ede6c6b', '78df146e207949e3', '3dc630e7c22bff72', '368f5c20ad10eaa7', 'ccf0fb152a3957ec', 'c4b2915ba803f481', 'f020c35a66a04291', 'a24b9835a33fb46e', '4c952c27612a3ac7', 'fda481eb3ffc890e', '19bd0f9c48f069eb', '009e573e59c8c393']; context = [[29, 91], [8, 64], [44, 117], [3, 73], [47, 99], [60, 110], [96, 170], [12, 79], [1, 55], [49, 97], [29, 84], [4, 92], [81, 135], [29, 89], [12, 64], [72, 141]]; loss = 0.020308 low_pass_filter = 0.300
+Epoch 0: | | 44489/? [7:00:55<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 44490; scene = ['20805b89fea12b16', '7615cbc4ef6c7051', '164156530d3be634', '3566daa8c63d47cf', 'cfae8689c0568699', 'aaa7372f9ad2a0ca', 'e7dd065439cbb857', '8fd5c7d863169cdc', 'fdc53d78156ed9ba', '50863a3be6590b17', '650e6f2ad859a7f5', '95306ec7c18fe2aa', '740530267134cd5f', 'c7d2800105ae3669', '650a68d59419564e', 'b0549364f20ec720']; context = [[32, 95], [75, 144], [107, 176], [8, 79], [0, 67], [2, 71], [64, 145], [13, 97], [19, 75], [56, 124], [14, 96], [7, 71], [26, 89], [0, 68], [67, 152], [83, 168]]; loss = 0.028852 low_pass_filter = 0.300
+Epoch 0: | | 44499/? [7:01:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 44500; scene = ['5fb80ae92d0685a6', '3527c9327919201e', '021304d1e09c8b5f', 'a94e03cd69b319e7', 'a841ed546586950a', '2df83aef6a375147', '7fc375752c2540e3', '524aaf3b874aae61', '072eca78621634b1', 'a0883fd11d656ac5', '9fde98805690a4e5', '11e8a47afc86d430', '1b0c7b2e662ade88', '4cbc8aa0b70db3bf', '51f52754331b5f78', 'c1bbeae38bae48a4']; context = [[17, 94], [34, 94], [10, 56], [28, 112], [0, 48], [1, 61], [35, 107], [83, 166], [11, 83], [109, 190], [94, 146], [56, 129], [20, 72], [3, 64], [0, 51], [6, 91]]; loss = 0.026028 low_pass_filter = 0.300
+Epoch 0: | | 44509/? [7:01:06<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 44510; scene = ['7bc880614fa3e331', 'eaa649b69e528f27', 'be5c623baa7340a4', '07a4dd9f55fb5a51', '852379c2f0247491', 'd64656f9226227a8', '627e1740aebd42b6', 'c356b5fd63ca4228', 'c2f4ee94e6aedf42', 'ea35f2e87a22cc27', 'd6f4cf1db5c5d80b', 'd6d953d12d23fdc7', 'c234202cc8bec9b7', 'b9f9d1c6f63799e1', 'a6d4617c65500d60', '0eb0406f93082b02']; context = [[81, 167], [3, 81], [92, 177], [28, 97], [21, 79], [116, 168], [1, 53], [75, 151], [10, 94], [86, 142], [11, 84], [221, 274], [13, 74], [93, 159], [2, 61], [23, 81]]; loss = 0.026592 low_pass_filter = 0.300
+Epoch 0: | | 44519/? [7:01:12<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000train step 44520; scene = ['acfd111702e90c2c', 'fe65c2bd94b30489', '082df11768924c7e', '8a543bf958e48dea', 'afe7352745af8df5', '4ac72b0e9795380c', 'cdbb5456c4a6c130', '553c15ccd8a7c665', 'a3e389b0c33b31cb', 'ff2bd6b594638b0e', 'afc302429757e7af', 'c3a695650753db89', '9e8ecfc74a51c2e6', 'd29eac762e09103b', '56fa185e2826487a', '3780a47aa7d1b0b9']; context = [[6, 71], [18, 71], [60, 147], [122, 200], [11, 57], [9, 89], [176, 254], [11, 97], [3, 78], [29, 97], [166, 240], [1, 84], [61, 112], [19, 70], [61, 144], [9, 95]]; loss = 0.027099 low_pass_filter = 0.300
+Epoch 0: | | 44529/? [7:01:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 44530; scene = ['c61b981dbf13061f', 'f93670c72163c7f5', '3cbf8cd5a0942182', 'fa9ceb9287bcad19', 'b3bcd04c589274ad', '16af2b590367a485', 'e51c391ea5baebec', '1cfc5fe62ca5877e', '2a5dc81550340f67', '25ea8df146574b53', '784279860f251724', '32a0b18fedacbcbc', '273fce55932d575a', '54c42ebf9c2e8c6a', 'ee8a4c0cc4c523d2', '6be96a2ce575c89a']; context = [[5, 61], [199, 275], [150, 211], [15, 74], [7, 77], [15, 85], [48, 104], [60, 110], [5, 78], [23, 83], [91, 149], [1, 90], [10, 65], [10, 100], [24, 86], [2, 77]]; loss = 0.024034 low_pass_filter = 0.300
+Epoch 0: | | 44539/? [7:01:23<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 44540; scene = ['25566dbcbdb9d453', 'c938cdcb831e024b', '07182819a3f6a9fb', '4e4bd2a7244f34b6', 'f36f99cf29f3be44', 'bcb35fbe47324395', 'cac3f22b990387cd', '0d93117304b2c328', 'b6c050a85869fbab', 'd0e4a11f9aa906cc', 'c1b6e10c20d99e06', '6f22c617870a2aae', '8195e86be5549d7f', '70a331f9fcec9d43', '41bfde5305c81839', '4d6a1bf4c39100f7']; context = [[57, 138], [13, 70], [0, 65], [123, 176], [85, 138], [2, 53], [29, 100], [27, 85], [7, 68], [7, 73], [17, 103], [5, 79], [8, 57], [143, 201], [136, 201], [1, 52]]; loss = 0.046693 low_pass_filter = 0.300
+Epoch 0: | | 44549/? [7:01:29<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 44550; scene = ['2f42d8f78b745b8f', '7b026e9cc2809b23', '8bff83ff7b1d25e9', 'b1216352b15f9fa6', 'aef1e4297d457ad0', '8960d6b0b7c62066', 'd53f3d87d749e474', 'e72a841fa01591ee', 'c572ac3284157a08', 'cdce02ed0baf8f27', 'd834085f08b8e1b5', '354bb8c3bf607454', '76d477e0f4218735', '2ba4d5c0fdbbb755', '2264c570151d3eb1', '3691359ea56c00a9']; context = [[82, 137], [0, 64], [2, 69], [33, 83], [0, 68], [4, 57], [30, 106], [18, 89], [17, 89], [65, 125], [45, 108], [46, 95], [27, 79], [48, 105], [96, 181], [0, 47]]; loss = 0.029623 low_pass_filter = 0.300
+Epoch 0: | | 44559/? [7:01:34<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.80, train/active_min_children_step=4.000train step 44560; scene = ['02da5ca9f9f18cf6', '5b8d93621a85c23d', '6aa46d66a867a539', 'ceccdc53778b29f5', '97b29d662bd9096a', '78df3c57e0ad56c7', 'b11de4716fc224be', '0074915cdbef7836', '9416bedb61dd7c0b', '7e53bc6da12b71db', 'ecd0d0bb2819ae9a', '07bfe0e0500de7eb', '97db2dd2f407388e', '87ffb21238d4c43b', 'ba1c15e73bfc4eba', 'cf705560e53638f7']; context = [[21, 92], [34, 81], [154, 208], [21, 69], [67, 152], [15, 73], [48, 117], [35, 85], [3, 66], [75, 127], [10, 87], [4, 72], [65, 154], [26, 113], [92, 167], [51, 141]]; loss = 0.028731 low_pass_filter = 0.300
+Epoch 0: | | 44569/? [7:01:40<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 44570; scene = ['461f43457daa4b50', '26a57e64e16d1b10', '5e1cb673bf14592c', 'a8159d5139330794', 'd8481651acc76769', '1abe4c0d5c5989fc', '85e953b1591ebb26', '0978d7105d3262a5', '65b134ccff0da535', 'ff9cdf0d622d570f', '195b0d259724614e', '81f5ada9048dc7f1', '40ae3dabcaef1d75', 'ef148eba57056ecd', '21c74a87a82349ce', '3116d924654c4dcf']; context = [[65, 142], [195, 267], [4, 54], [6, 72], [152, 220], [153, 243], [72, 128], [42, 93], [0, 81], [32, 80], [85, 168], [0, 72], [28, 80], [5, 94], [1, 64], [145, 224]]; loss = 0.027392 low_pass_filter = 0.300
+Epoch 0: | | 44579/? [7:01:46<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.10, train/active_min_children_step=4.000train step 44580; scene = ['246000abdc7aa3c6', '7c2d62eae6516d1e', '8d4bb7e26db63eb6', '77a76b5a1223d66d', '3ae57227ccab25e8', 'b164d2a50ad6e406', 'c7eb0f11acbee2b1', '4ba775154ed5f451', 'ef7412f29ac99051', '3fa09b493236b1be', 'e78ea0051cdfb8a2', 'e257408aebee8296', '636dc42413fab3de', '7ce03a48c280ca1f', 'bcf339b753e90045', '869e4027ee7764a3']; context = [[27, 77], [42, 88], [9, 82], [43, 97], [53, 133], [38, 83], [50, 102], [34, 92], [5, 62], [90, 149], [76, 126], [0, 84], [86, 135], [23, 113], [112, 175], [42, 115]]; loss = 0.026344 low_pass_filter = 0.300
+Epoch 0: | | 44589/? [7:01:51<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 44590; scene = ['f8755c049d3f8fcb', '49ba6fbb5a39e7d5', '39bcb80c02b8b0f0', 'a9bcbc63daf30f4e', '0de33ad1ded7a060', '0678547e251bcd60', 'f7da323950f255a0', '2dc5db0ae2b383df', '821c3210d5cb54ac', '3bac8b9c47707a8a', '1c4c1047238bde1e', 'd3234b40e1d89548', '48458995dd3a43e6', 'bde3a7187db8eeac', '58291bcf39ec8346', '06c175f6ee37879e']; context = [[50, 116], [19, 71], [7, 56], [25, 97], [118, 193], [7, 74], [32, 95], [45, 93], [14, 104], [31, 108], [26, 87], [124, 200], [0, 47], [4, 90], [12, 98], [20, 97]]; loss = 0.023416 low_pass_filter = 0.300
+Epoch 0: | | 44599/? [7:01:57<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 44600; scene = ['ac42ff7b8e4119c3', '0ec818f376461a5a', '032522f3b8efd159', '853cea5a9bef7465', '2ee31a7780c9ba67', '0813b29057ada72e', '9dc96e2d658c29a6', 'ec9fb1bb662b94f9', '5a9fae3ad84308a9', 'c9442f9e9ba380a9', '89ef5b7415c57162', 'fd313850c5fc2620', '1dc1c0fad339b728', 'abc78476b3ad43b2', '59f90e73aecf538b', 'd0b3f6bd660985a2']; context = [[6, 78], [7, 84], [80, 153], [7, 68], [1, 55], [3, 50], [54, 132], [9, 58], [115, 165], [16, 68], [30, 111], [23, 102], [5, 92], [3, 64], [26, 96], [90, 150]]; loss = 0.026103 low_pass_filter = 0.300
+Epoch 0: | | 44609/? [7:02:03<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.20, train/active_min_children_step=4.000train step 44610; scene = ['21fbf47a07583ef0', '6bcfad17928a7596', 'cc70fe54f91b62f2', 'd5cb4b22561d402b', '56d278fccc3262a2', 'fd3b8c9110472be6', '7bc6193e511cc112', '54611c559b51c587', 'aae58f49c4e7adb1', 'c896b9790d75ba5f', '164d8c162b3380cc', '2500c47765259d25', 'b35a083c0ebf5083', '882604c1aec0e83a', '5c3edf95e971e6a1', '81e4aa61acacb1a3']; context = [[157, 246], [3, 92], [36, 85], [75, 152], [0, 48], [137, 191], [58, 108], [0, 83], [23, 109], [64, 130], [4, 87], [134, 208], [21, 83], [1, 55], [156, 210], [15, 76]]; loss = 0.032506 low_pass_filter = 0.300
+Epoch 0: | | 44619/? [7:02:08<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.60, train/active_min_children_step=4.000train step 44620; scene = ['645a8988ce8fde03', 'f0ec6fde32d852f4', '865f1084bb5394ac', '29eb7537903248df', 'e125136b4495509a', 'd550977e6ab72e54', '47261f4c960af669', 'c0cd96efb97299af', 'f8e1c32284e7c88b', '6aac614c1b641318', 'a4486bdf8d080ff0', 'b416246bd5fc5f87', '78abe4c6652298aa', 'be1727230db6ce6e', '6f3fc6900ed0a7d9', '21b266c3d59a9973']; context = [[4, 91], [81, 170], [24, 70], [2, 63], [10, 87], [45, 130], [52, 124], [9, 67], [34, 109], [59, 117], [2, 62], [37, 99], [41, 118], [0, 83], [6, 76], [48, 117]]; loss = 0.028456 low_pass_filter = 0.300
+Epoch 0: | | 44629/? [7:02:14<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.90, train/active_min_children_step=4.000train step 44630; scene = ['ac22f80e1d34b899', '18bee1791ab613ff', '8fc6704ed8465c3f', 'bce3c137c2effa16', '68770b0db8ad1d3b', 'f8186b350aaa2775', 'ee09ae34a0720fac', 'bdb3cfd2caf40d2c', 'b7edd79abf6abf18', '4697c4de453f4c04', '80773003e0a7eac2', '2e3b7c0955984c0b', 'e60114b10c6a70e5', '404cc5a0fd0a2131', '5d38403bfc1e7822', '5f488b72ead7bb74']; context = [[44, 122], [48, 99], [8, 80], [12, 59], [18, 89], [4, 64], [28, 97], [41, 97], [1, 50], [96, 164], [162, 215], [57, 109], [95, 163], [5, 53], [97, 170], [19, 96]]; loss = 0.024486 low_pass_filter = 0.300
+Epoch 0: | | 44639/? [7:02:20<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 44640; scene = ['3f99cb9bcafde8fe', 'e0458dafcf2e0e90', 'ecc8438134a2638d', '39affc04f4fec373', '22883477ff44a8d8', 'ade5d1325a93bcd0', 'c9549c302dd8199b', 'db4aa5fda0f93baa', 'a1a1232aaf87f494', 'a6716ac7a4815ded', '3b3cf18766226dba', '53a78f0397e97484', 'af8f48c2701a86d7', 'e2a52c2d94f21d4d', '6c57545257660e6c', '1b35df36589d1961']; context = [[58, 109], [57, 102], [9, 64], [40, 101], [31, 77], [44, 122], [47, 129], [53, 103], [41, 102], [94, 167], [72, 144], [5, 80], [8, 98], [2, 69], [17, 88], [69, 150]]; loss = 0.023172 low_pass_filter = 0.300
+Epoch 0: | | 44649/? [7:02:25<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 44650; scene = ['913f87b9648dda52', '0120521cfa518c34', 'f1e8c1b674d290ec', '2dd8ae2b71457753', 'b2a34524405f79ff', 'fddb773938b548d4', '4b36ce9b2637c7b9', 'e328da8e5ef0f90e', '9d60730767a91653', 'b70e4209ae155e3c', '042c5b9d9ed02ac7', 'fa28747d4afe07c1', '8cee8bb5d346a385', '6847876b943d0154', '33ee4ed5a09605e0', 'fa964283efb18a53']; context = [[2, 71], [11, 56], [10, 91], [10, 60], [94, 162], [3, 87], [0, 50], [89, 170], [2, 60], [1, 54], [45, 96], [123, 168], [6, 88], [145, 230], [12, 67], [2, 62]]; loss = 0.022284 low_pass_filter = 0.300
+Epoch 0: | | 44659/? [7:02:31<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 44660; scene = ['b41d2c3425b758cd', 'cf7f208150f3cc43', 'c7f58067e555ee7e', 'c232622462aa0ff5', 'ce18576673ebaf58', 'ed812d61801c31d8', '35a941a1cc030cae', '8b684380336d7b11', '7e934c4d5fc1df83', '98a805938208ce42', 'ec79c7bfb5e679dc', 'bb379f6aaa065c43', '7d9badc36b36c42a', '4d3305c36130f0cf', '1e5e29d1878127f6', '32b6c71b6f77de55']; context = [[39, 110], [1, 52], [29, 87], [8, 75], [10, 77], [13, 69], [13, 64], [34, 92], [2, 50], [0, 49], [39, 123], [169, 222], [2, 85], [18, 79], [20, 89], [41, 122]]; loss = 0.030605 low_pass_filter = 0.300
+Epoch 0: | | 44669/? [7:02:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 44670; scene = ['b05564e4b802c368', '3bc79c5d0bf9c88b', '690dbd2a050fc8b1', '4f7532c456da3acc', '2734378e18626d7a', 'bd359118360c9114', 'd53082142bd30277', '5fb40c3519777379', 'adce890dcc2ec015', 'ad8b08f786657b96', '4d978a6e2b9a1d20', '675c0b74e1f0cf54', '4314832d98488d05', 'cc806d390079344d', '445575852ced8759', 'c61dcb999934a249']; context = [[3, 78], [11, 100], [29, 118], [30, 90], [11, 75], [9, 75], [172, 219], [4, 74], [95, 174], [0, 52], [1, 47], [48, 134], [91, 169], [14, 86], [5, 71], [66, 147]]; loss = 0.035408 low_pass_filter = 0.300
+Epoch 0: | | 44679/? [7:02:42<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.50, train/active_min_children_step=4.000train step 44680; scene = ['e32f6279def089d1', 'e76cc38cd4a649a3', '8c2ac0b557c918f6', 'f0cce9e9948cd179', 'e894f58534099e23', '03236c69ed00c0ef', 'bfd986961df4d711', 'c4ce55bea0af94e6', 'b435f997dcef9ccf', '4f56573f19ad11ab', 'a867df8dd978e7cf', '9cdefc042c8a1719', 'c61660db7b36207b', '6ae3e9482341c6a4', '5aa677118a447f4e', '1599edcd7d71cf8a']; context = [[0, 61], [43, 113], [17, 68], [46, 123], [171, 235], [1, 77], [0, 52], [175, 237], [62, 138], [13, 100], [49, 115], [25, 71], [161, 243], [109, 154], [3, 85], [23, 74]]; loss = 0.024442 low_pass_filter = 0.300
+Epoch 0: | | 44689/? [7:02:48<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 44690; scene = ['45ce6645effd86a4', '6b92ef0308e73624', 'bdebb67214315ba5', 'a1a797c1ebbb9795', '882a4bb1c3ff5449', 'f287b42b0894a220', 'bdf3783c8da8d447', 'c5584bf72d124d9d', '8a5370d597679b7d', '78a509119f9abde1', '7a95da094a319443', 'bfbe0936c45a6877', '627b0865de219721', '191836b21424305c', 'e834fab2208f1db4', '8772de948d685f01']; context = [[68, 136], [72, 156], [164, 221], [48, 138], [5, 84], [36, 122], [27, 97], [72, 157], [0, 77], [3, 82], [123, 204], [16, 89], [9, 77], [0, 68], [58, 122], [1, 86]]; loss = 0.032848 low_pass_filter = 0.300
+Epoch 0: | | 44699/? [7:02:54<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.80, train/active_min_children_step=4.000train step 44700; scene = ['937835bf008447ae', 'cb9ae86a49f95f34', '6f349cede66a597e', 'a328bb24ae1259b7', 'fd92fb298b944a09', '48f502df70db50e1', 'ffb0ecd62200e136', 'a5175255a7a24781', '7e1f1f018b3493cf', 'dad145ce35ad0e54', 'e7129afa3f20fb38', '21268abbbc575fc9', 'fbcfae0d07f3840d', '9e739ec1a8c7aece', 'a0182c984159affd', '3da6288178379844']; context = [[0, 65], [35, 106], [2, 84], [5, 53], [4, 69], [16, 88], [59, 114], [19, 102], [0, 61], [194, 255], [1, 84], [17, 62], [47, 115], [11, 68], [7, 52], [23, 95]]; loss = 0.025723 low_pass_filter = 0.300
+Epoch 0: | | 44709/? [7:02:59<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.60, train/active_min_children_step=4.000train step 44710; scene = ['560bd1ba2a1f52ee', '3a35983802667459', 'ea8df2691a453116', '59487394e4fdc36b', 'cf8653d94cf8dc19', '1535cb9280277aed', '40eeb4602dccc097', 'ca8a288d4f798d7b', '8cdb8f46a81be582', '48f532b78845c6d4', '584059f95310ea42', '313139806de65869', 'e567c08401dda8a7', '926a4f3af9386f6a', 'e6910569bc347ba2', '86cfe990f194bb9f']; context = [[4, 62], [102, 160], [24, 114], [8, 84], [52, 139], [6, 61], [11, 56], [8, 70], [39, 93], [54, 123], [1, 67], [17, 62], [6, 59], [3, 87], [6, 94], [14, 60]]; loss = 0.023195 low_pass_filter = 0.300
+Epoch 0: | | 44719/? [7:03:05<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 44720; scene = ['082f278db0e77982', '4c4749e293cb665b', '8848308b52fd1c26', 'f76591c4921d769b', 'b687a0112cc8f234', '649307d5095c45db', '2246ea4355b0fc4b', 'd1470dfbdb2d9545', 'a53c95a54a909cc6', 'b0e2a9b7d0e9e31d', '866dcd2492e1486c', 'fc33c2bb40bfc9f2', 'd1514789498072ce', 'a3cff90df97ff0e9', 'c463f86aa3b44384', '6eb626dd0d103edc']; context = [[85, 133], [12, 67], [9, 56], [130, 199], [44, 90], [27, 77], [71, 135], [165, 249], [2, 66], [0, 58], [65, 141], [106, 166], [0, 46], [4, 50], [1, 50], [4, 60]]; loss = 0.022956 low_pass_filter = 0.300
+Epoch 0: | | 44729/? [7:03:11<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.50, train/active_min_children_step=4.000train step 44730; scene = ['6112242cf8490550', '72b10d15231b751b', 'f973883bcd188d2d', 'c068f4700315920b', 'a5a27648fdade0d9', 'bf8c1e3962c35b5e', '1060ca933281b55c', '06d592ca278c60ef', 'a161a931396aa0d0', 'db62795c284bf764', 'c2fccfc90a74c89c', '4e8af68984b1eabb', '9e4a3905468efe6c', '4b286aa697cf814b', 'b4caf9dbe386c507', 'a2e4b97b2c9a0ae6']; context = [[114, 159], [6, 73], [74, 150], [14, 73], [133, 207], [0, 56], [21, 78], [38, 115], [103, 160], [11, 65], [70, 142], [7, 52], [140, 211], [21, 68], [4, 49], [80, 144]]; loss = 0.024319 low_pass_filter = 0.300
+Epoch 0: | | 44739/? [7:03:16<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 44740; scene = ['f460c75ce0bd6969', '3d9d988b47e1a465', 'de9083d38b03fd46', 'f75167ab4259531e', '0823531fac97d9c8', '15aae076b5f915de', '71647381f3483fa3', 'bf7e0756f7e60574', '240b8f2b7b0b80e6', 'f3e22bd30457802b', '616731b2df2965c9', 'ed301ea795ca2156', '895cdbd2d21c3d05', '77f2d5d4f70a2c06', '993f5f375f822648', '9846f3379c2b8fad']; context = [[15, 68], [12, 71], [3, 58], [2, 91], [37, 106], [20, 78], [8, 70], [41, 110], [12, 58], [19, 71], [132, 203], [0, 49], [21, 88], [2, 79], [61, 134], [16, 92]]; loss = 0.022604 low_pass_filter = 0.300
+Epoch 0: | | 44749/? [7:03:22<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 44750; scene = ['a16f25f49092fd46', '961545212c111ea2', 'b917bc074bb50934', 'f7eaf62d4f3c6114', '6feb5bcd09a060f4', 'cda05cdb67698027', '49f17d37416bde4b', '631f19075ce636aa', 'e032f2324ed2e451', 'f3da07e1268f9829', '0fbbfe4c8f90f581', 'a90eab41dddde44e', '8af56d1b49ff17d1', 'dad96ef78afa5f7b', '577bae9426456dc5', 'c211eafa20d6c2fe']; context = [[9, 61], [1, 54], [13, 93], [0, 82], [100, 183], [75, 149], [12, 65], [1, 59], [2, 49], [144, 193], [21, 94], [148, 230], [7, 64], [146, 198], [1, 54], [38, 96]]; loss = 0.036082 low_pass_filter = 0.300
+Epoch 0: | | 44759/? [7:03:28<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 44760; scene = ['c80a4d4945174b16', '4d65b300238064c2', 'df6fb10595c0c3ef', '7553395100371c11', '06dd2b11f2fee659', '889745e162331266', '26c72ee0b0e70272', 'd6a6b9b02811d3b7', '829f8c2b2e5252e5', '9211b97a7482d443', '92085b73d95d15f2', '4df6563a6aa62cf6', 'f3c2e046bf98da68', '16e38b37ffc36e77', '615dcaa6165fa8a3', 'a8232ef9905e87da']; context = [[28, 78], [26, 106], [32, 90], [22, 70], [28, 82], [22, 71], [7, 65], [12, 68], [37, 103], [6, 70], [10, 91], [1, 85], [132, 190], [164, 217], [33, 120], [4, 86]]; loss = 0.028066 low_pass_filter = 0.300
+Epoch 0: | | 44769/? [7:03:33<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=20.90, train/active_min_children_step=4.000train step 44770; scene = ['20f4bf16c091cdb0', 'cbdad10abcc885e5', '4f5af60e4c54afa8', '3c14d04df113da24', 'c8eec59d2fd27bc7', '7c6d4de848377911', '53b0a4720f4912bd', '8c311d826f923a77', 'd36fc8d3f149522a', '29ad7f2d5b0f798a', 'd12ba3a2ac78cfb6', 'cbbd98e0f99af188', '9f655edf6923e6cf', '1fd4fba41c85f3c9', 'f00cff8f4ae371a4', '50c9b910f6706ed5']; context = [[122, 172], [46, 126], [0, 55], [3, 54], [31, 76], [6, 69], [177, 264], [45, 121], [76, 143], [1, 58], [0, 67], [122, 178], [15, 65], [40, 117], [20, 73], [21, 81]]; loss = 0.028216 low_pass_filter = 0.300
+Epoch 0: | | 44779/? [7:03:39<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 44780; scene = ['f1bb81b38686646d', '9ebe5598c2c148b8', '42ac9272440cdbce', 'de179324e4b2cc96', 'd491b2e1e835a7bd', '60d7e3540f156518', '9ffa3d4808be4b87', 'e7cfcb3884629440', '66b0bedbd87eb6d4', '58694b5c16496ad4', 'b9ac53cf1cd3f4e3', 'cdcf8ecbde39db10', '3d5a986156f92892', 'f94badaa12bf80cb', 'e967a875e94bc523', '5dac5439a266d383']; context = [[176, 261], [7, 83], [14, 73], [15, 67], [54, 115], [136, 209], [16, 64], [8, 57], [8, 76], [2, 64], [16, 79], [66, 125], [41, 124], [8, 70], [52, 130], [102, 163]]; loss = 0.026748 low_pass_filter = 0.300
+Epoch 0: | | 44789/? [7:03:45<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.40, train/active_min_children_step=4.000train step 44790; scene = ['eec481a022f9e86a', '06966b2259fb3aa5', '1d7ad8c6900e7af9', '71544ab5ea6dc037', '61be2551bb51d4a2', 'd4e738e6d2dfc2ca', '74a1a4637c7f405c', 'dcfbd209b2b98296', '0fc06101be8257b5', 'a7c9db349b71b80d', '614c143d4d36e67a', '5800cc8485fe481e', '951b4fd71377c50e', '063a8e820eb3c107', '3152342c2256d3ac', 'dcff1570629b6439']; context = [[91, 151], [5, 72], [30, 109], [5, 59], [7, 55], [67, 116], [98, 176], [29, 75], [3, 52], [12, 101], [185, 268], [150, 204], [18, 87], [220, 278], [41, 120], [87, 133]]; loss = 0.022257 low_pass_filter = 0.300
+Epoch 0: | | 44799/? [7:03:50<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000train step 44800; scene = ['1ff6a0130c1bdbc9', '44b54a674418eae1', '76d53cf41f53eb37', '7658616d6f86ca40', 'aa366c6e6b9113b3', '1ce9bf904ae479e1', '5b83e7eb0afc4ecb', 'bffb100ac66d2d6b', '1cbd1e2b7ee52ac7', '4dab828d09c1dc9a', '4e7192ecd49dc772', 'ac84acdf0fe73c38', '51e1d930d39f35c2', '4e8f6edc35cfae7e', 'fa45a493b74d9f81', 'c0e0f33a16f682e8']; context = [[26, 114], [55, 130], [58, 109], [31, 96], [72, 121], [15, 90], [54, 128], [0, 45], [27, 89], [12, 77], [1, 51], [70, 115], [28, 83], [6, 85], [11, 61], [40, 124]]; loss = 0.033226 low_pass_filter = 0.300
+Epoch 0: | | 44809/? [7:03:56<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.80, train/active_min_children_step=4.000train step 44810; scene = ['11a798a3ebe14f34', '56df2b5ce47f0951', 'ea05946378cd50af', '2bfceefcaa20c792', '1c6c2f0ea25ac8aa', '10f1c7cda244255d', '96e0dd87c09dd1a8', '1c7e0d9da743e0ff', '724aa9c8b18efbae', '16be374e6f6d5d3d', 'e78f201e5bfc0742', 'e2ca642f83d36d8c', '52b0ce9efb240e7f', '1e51a9a349931860', '2035595ebba23bac', 'dd9171376b4d5f40']; context = [[26, 87], [7, 58], [27, 114], [34, 123], [85, 132], [9, 89], [147, 211], [21, 110], [129, 197], [21, 85], [0, 45], [4, 52], [219, 267], [3, 48], [63, 116], [170, 248]]; loss = 0.221655 low_pass_filter = 0.300
+Epoch 0: | | 44819/? [7:04:01<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 44820; scene = ['5a12859bbcfd8ac3', '0e6f83ff354756c5', '837023dfd3353d8c', 'e612d7ac6a0649ac', '75a52023d65e96f4', 'cb09ae2e2c7ebbaf', 'cbc442ada60cf32a', 'c5e63a8726d8d66c', '5cc6a2fa5f0a41a8', '53a0c8f7a231f22b', 'ababe0fcdff0cb9b', 'e1e79fcfe1891c76', 'd83adec7ec2084f0', '924c32f78e96f7b0', 'c180b05e16a46ac6', 'f71382a605a56ffe']; context = [[61, 122], [20, 69], [12, 97], [35, 122], [2, 49], [0, 73], [93, 149], [0, 82], [5, 54], [73, 142], [2, 82], [4, 55], [215, 268], [15, 91], [111, 194], [37, 123]]; loss = 0.022308 low_pass_filter = 0.300
+Epoch 0: | | 44829/? [7:04:07<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.30, train/active_min_children_step=4.000train step 44830; scene = ['1ee361f00ab4d1ed', 'dc62d0247fa72b7a', 'f2de49cf61e83138', '787eb1230c119360', '86dac679a8e2b399', 'f480268675d083e5', '310a9fe20c913b7a', '8fbff036e9efcfdd', 'c736e2a60be17d47', 'f0c97b9a018f61e0', '0803ef1558946e8f', 'c07245f7dd1159ae', 'bbb486f1bf6141f1', 'fc854569673a15a9', '49b588e9904990f3', '466bca50a892d27a']; context = [[21, 96], [86, 145], [192, 277], [94, 149], [21, 93], [2, 88], [6, 90], [70, 158], [21, 69], [1, 77], [41, 109], [49, 124], [4, 52], [9, 63], [38, 128], [4, 50]]; loss = 0.036174 low_pass_filter = 0.300
+Epoch 0: | | 44839/? [7:04:13<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000train step 44840; scene = ['3450a747348bb412', 'e7ca86a31912e83a', '31c515e53294d11b', '2643d60a731e5d92', '760c626fa583ca58', '4994aabf6ecddf13', 'a897a9a9dd1e252e', '2e9d2d1be6c3bf17', 'e3c61bf2ef1461c1', '24cc8246635b0861', '1b84d6c7947182e4', '771c1995499ad8ff', '74690b3b51bf80be', '7776a01c77be3428', 'e1647ecc45dac128', '2b429841a0f68b08']; context = [[118, 202], [2, 52], [89, 152], [82, 144], [9, 71], [1, 51], [33, 118], [5, 81], [0, 69], [29, 85], [13, 74], [171, 253], [14, 76], [14, 82], [27, 83], [91, 164]]; loss = 0.022205 low_pass_filter = 0.300
+Epoch 0: | | 44849/? [7:04:18<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.30, train/active_min_children_step=4.000train step 44850; scene = ['2de65d8f9645d15e', 'f9a627eee0723c47', 'a36899b1194dc5a7', 'c07f313faace15be', '280830338cfc4713', '402bdd40ddbe41bc', 'ee3a19d2d51eef93', '459c2dbb397fe8c0', 'bacacdda6de65407', '403d96fa5b051cd6', 'ce5d6f2eb6fe1b81', '03aa892f294f56ed', '6037096f00b3bcf7', '9ad1ef56f0d00649', 'd7a1d567bba773a1', 'c6e6428a81100113']; context = [[5, 70], [2, 48], [134, 196], [1, 71], [7, 57], [10, 62], [17, 79], [13, 66], [90, 164], [2, 51], [53, 115], [19, 69], [14, 62], [43, 100], [33, 89], [89, 165]]; loss = 0.030248 low_pass_filter = 0.300
+Epoch 0: | | 44859/? [7:04:24<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 44860; scene = ['08910ea87a38fe67', '3c9bde3eed9aac7a', '4c4c66eb8440e75e', '02f955bfea1c14e6', '442b8ca8e4a5a01c', 'f4ab284b4568139a', '9fc50f65a5a998b4', 'fe07d4791305e06d', '6841d6e7bb3e445e', 'b86f0cc451cd38e0', '305e37ea442951ab', '5073eb59ee636c69', '28f98161e55562a1', '707f00068b57f04c', '097c91b5e2ad9311', '7e6e62f4d393df44']; context = [[9, 57], [18, 78], [25, 75], [14, 87], [35, 97], [166, 222], [176, 224], [45, 105], [12, 65], [31, 105], [8, 61], [89, 140], [78, 125], [0, 69], [11, 99], [65, 112]]; loss = 0.027807 low_pass_filter = 0.300
+Epoch 0: | | 44869/? [7:04:30<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 44870; scene = ['5b99e1003ac65167', 'a7cca3b824fba4ae', '43fe85ffb80fe3ca', '5e80b87bc5ef5c2c', '72068f2a0f7eeeab', 'fb79ec5350c1eaed', '485cc5ecb84afd79', '4fb63d42b75f83ec', 'ceba0c9064ef2075', '93f0ba6797c67f20', '92ae0064b7c18b99', '9c002649b133ed7d', '32b6934068c002f8', '467c7103dccd9914', '27ecc84dfeef35d6', '999d1dc292628db0']; context = [[11, 87], [176, 241], [142, 214], [27, 73], [163, 244], [73, 126], [8, 59], [3, 55], [48, 97], [0, 85], [75, 157], [4, 57], [22, 112], [7, 56], [27, 91], [94, 143]]; loss = 0.027882 low_pass_filter = 0.300
+Epoch 0: | | 44879/? [7:04:35<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 44880; scene = ['48fb1a0fe481d1b9', '4cfb4accd37fa01c', '8d4c41faae44a989', '1a87a846ba692048', '992703d25ac0d3f9', 'fb7859d36011269d', '2cb0e88a83fb83cc', '5f82a0b9c1a81d5d', '06c2bc96fe172578', '6fada69846df995c', '41d523ec52b3c6a4', 'e0cebc1764db7827', '99d999ed61776749', '0fd39c0d034b543c', '230ae34894c1c55e', 'fc9f71327402e98d']; context = [[114, 179], [74, 133], [19, 65], [10, 83], [129, 193], [97, 147], [56, 134], [38, 120], [39, 101], [51, 118], [73, 130], [41, 89], [26, 72], [12, 102], [20, 69], [9, 63]]; loss = 0.026668 low_pass_filter = 0.300
+Epoch 0: | | 44889/? [7:04:41<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.60, train/active_min_children_step=4.000train step 44890; scene = ['b1b3db39f2a90eb2', '1adc869076b62522', '73c2ef569a3b523a', 'b409b939c42031e5', '277808ef17892255', 'e48218dcf5a6fcb4', '93c4c2fa3994080e', '40705672cf881305', '4a21df12d3b7310b', 'af4763770bda7625', 'c23235f62a322c6f', 'ec5e23007d81eb4b', 'dcbeb67f1bb0a7a8', '2601f8212a78888f', 'd36d83289ea3127d', 'c3650e874d310a95']; context = [[83, 150], [29, 100], [16, 75], [31, 80], [17, 69], [97, 153], [46, 96], [27, 88], [7, 95], [2, 59], [9, 55], [2, 92], [91, 168], [2, 62], [0, 70], [5, 62]]; loss = 0.027715 low_pass_filter = 0.300
+Epoch 0: | | 44899/? [7:04:47<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.90, train/active_min_children_step=4.000train step 44900; scene = ['2f365fb5323c52fb', '2a73d7c5a8cf0fbc', 'c650dda53967eb05', '5dc01b6fd67b6f09', 'f6ad279359f6eb63', '15770c4aa1e3c886', 'a580f9d21fe00fe3', '4f31c3d2031ae29e', 'ac6a1e0b83cd7826', '688a6b4560e6d685', '7371502a3bed5b0e', '7ee115fb205f848f', '39e1f92f2731b7e0', 'ea9d5cef5a33d0ae', '1bad2a58432e346a', 'ddcd077c7e0a67cf']; context = [[78, 163], [0, 71], [121, 202], [143, 194], [22, 77], [63, 148], [5, 59], [76, 124], [2, 62], [53, 117], [30, 88], [15, 87], [21, 73], [188, 274], [4, 78], [165, 217]]; loss = 0.022628 low_pass_filter = 0.300
+Epoch 0: | | 44909/? [7:04:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.40, train/active_min_children_step=4.000train step 44910; scene = ['e1a001cc971f9549', '040bfec885ae8841', '03f786b8eb33e189', '9159925b118937a4', '10c6540f2e3af25b', 'df7deb08bd35cc9e', 'aa85d24bbd87a8a6', '05a005f68ecccc2a', '184fb534f9aca4da', '5dccd30e3c943574', '5eee3bba5d8a0af0', '09857c20a9b14df3', '51e6b1d7cd013f21', '917a89fdc7272009', 'dbff0bd4a366d4e6', 'ab36a2706d3397eb']; context = [[169, 235], [134, 207], [27, 103], [146, 192], [69, 123], [2, 47], [14, 93], [21, 89], [36, 103], [51, 121], [48, 99], [1, 73], [128, 206], [22, 80], [14, 98], [6, 55]]; loss = 0.021671 low_pass_filter = 0.300
+Epoch 0: | | 44919/? [7:04:58<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 44920; scene = ['3ab9b7649181c36f', 'b8781f450d0adc80', '902c1c83e18a1ce0', '26a1e6b424eebe60', '2ad7c534b9552115', 'acc674156e787244', 'fcf546a53fb77c04', 'db68fe38527e7ac5', '6c19062171a4f85d', 'b63e4698070a825d', '7eecdc047fa4f61b', '1ff6f068edd2bc64', 'cb7b0766b8412221', '80ba2b3e340a0473', '25672d21b37e4869', '47e89e797f97cfce']; context = [[2, 60], [27, 73], [125, 183], [5, 63], [6, 52], [1, 48], [6, 63], [52, 97], [7, 70], [10, 59], [63, 112], [16, 69], [25, 78], [19, 67], [77, 123], [16, 99]]; loss = 0.023686 low_pass_filter = 0.300
+Epoch 0: | | 44929/? [7:05:04<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.50, train/active_min_children_step=4.000train step 44930; scene = ['4dea6d53165f9c96', '4f4b62095d035442', '16a4c73f7dfab404', '72b9601d75933b02', '693e16057340bac9', 'd27fbd9800432849', '1e5d356b6e52ad00', '0d4ded80a6003029', 'b6e0a7217135f0ec', '04c274ee7ff5faa4', '39c680d0e2deb371', 'fb0d624658f450a2', '1f7b83cb671a108b', '5a2d7bd1aaaa9979', '376891e5c574f2fd', 'd1f93bb1a968ea02']; context = [[10, 76], [10, 66], [2, 60], [43, 96], [32, 103], [40, 123], [21, 77], [32, 106], [16, 69], [10, 61], [11, 67], [96, 177], [120, 173], [7, 56], [19, 64], [77, 134]]; loss = 0.026460 low_pass_filter = 0.300
+Epoch 0: | | 44939/? [7:05:09<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=23.00, train/active_min_children_step=4.000train step 44940; scene = ['8a3e27e005fffbab', '7ad2d82f17a2ce15', '63686d76e16857b7', 'df4320d8eb103685', 'c9ae23235b5e966c', 'd21e4b33834b837e', '9ff079a7d20b61af', '88757490a352159b', 'fd58f65ca879b900', 'efc03ccc68e50504', 'e0e18dfe0dff7381', 'ab1d4518292e91ea', 'b643973b5d059f72', 'c6f9df8f7eed7728', '5fd54bb5819e9564', '0b3f191324b209a5']; context = [[28, 109], [148, 204], [0, 53], [0, 70], [140, 187], [41, 120], [4, 81], [36, 113], [72, 122], [21, 82], [20, 68], [9, 99], [8, 60], [61, 132], [159, 204], [0, 61]]; loss = 0.025507 low_pass_filter = 0.300
+Epoch 0: | | 44949/? [7:05:15<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.40, train/active_min_children_step=4.000train step 44950; scene = ['72f41340c3506abe', 'a74f43b16ad90fbf', '8fe5fd9e06ca3c9e', 'be78b445daa29b6b', '82513f328f3249f6', '8805c7327881e75c', 'f0d10a292635e158', 'b0ca6e8acb7ad97b', 'bc6a2adb3ad36ade', '0273551cbe95b745', 'c71087ae4e6f194f', 'f102fd49171601dc', 'c7910bdb817862a4', 'fcd94bfa816109a0', 'bae4d42f71248c66', '2a7176cc52a8a38b']; context = [[12, 61], [127, 175], [20, 77], [4, 78], [3, 65], [14, 66], [0, 71], [42, 102], [102, 186], [34, 80], [21, 100], [130, 210], [1, 48], [101, 191], [7, 62], [2, 83]]; loss = 0.026158 low_pass_filter = 0.300
+Epoch 0: | | 44959/? [7:05:21<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.70, train/active_min_children_step=4.000train step 44960; scene = ['a142901b8a2421ed', 'bf757b6db55a034b', '6a06b29373391c2a', 'e626cfbe73b265ff', 'af273a69275eafe8', '6a9b8d01b20a6955', '265a01052509e633', '3e432ad21766365f', '12b30537a0047009', '81507799cd656b4a', '9e7d7bcb816167c1', '584801a0905b8be8', 'b8a02be5b8c644db', '83d3d96cdac2817a', 'a2b430d7bec915d8', 'e64a301aa0f3f81c']; context = [[38, 128], [13, 68], [62, 128], [6, 54], [43, 129], [72, 138], [29, 78], [137, 192], [45, 108], [79, 164], [142, 188], [1, 85], [132, 180], [50, 126], [36, 117], [33, 97]]; loss = 0.023573 low_pass_filter = 0.300
+Epoch 0: | | 44969/? [7:05:26<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000train step 44970; scene = ['e46b29fc12390c9b', '3a9cf9b68f41334a', 'e3f00fedd66a5a18', 'c59b6f75d304391b', 'fd1af2cf0da71b4e', '6eae271fb9939971', 'f52a6dc5163500e0', 'da0a014448440c00', '013c589d4f2ec409', '1da393563ec599b5', '6b8eed37ef5bbb26', '05942c4e02b982f6', '9fbbb95fe1cddb74', '2f04d4aea94eada2', '477b299b36c39b44', '4f71b7b1fe7b4622']; context = [[32, 79], [156, 216], [12, 77], [39, 127], [68, 137], [11, 66], [27, 88], [5, 63], [180, 253], [8, 59], [31, 81], [26, 78], [19, 87], [68, 120], [1, 53], [50, 124]]; loss = 0.025673 low_pass_filter = 0.300
+Epoch 0: | | 44979/? [7:05:32<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.70, train/active_min_children_step=4.000train step 44980; scene = ['79af74ea69a9c396', 'c1aacfd63c3b9795', '8aefbf6af9a0effd', 'c3eb1f75e218738d', 'ac8718c9d815099f', '2182b76a33fef09f', 'd6624aac6774c6cf', '0a444fac578101f8', '996067d4347858a1', 'bb48e2d74b804b95', 'f45d89e13c989cb5', '6b6ecd758a2161af', '9cd867f121e491ae', '9af973da0db34710', 'f8e1dd1b4d8d2f01', '1c3e848e9fd120da']; context = [[27, 112], [1, 50], [50, 99], [80, 142], [2, 77], [44, 105], [7, 90], [138, 193], [12, 100], [126, 210], [175, 258], [46, 102], [5, 60], [0, 52], [27, 101], [1, 54]]; loss = 0.028366 low_pass_filter = 0.300
+Epoch 0: | | 44989/? [7:05:37<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=21.30, train/active_min_children_step=4.000train step 44990; scene = ['38f7386e936c3081', 'fe2632b437de3932', 'cd53364ead1ed07b', 'af16df876bd332c8', 'c957dbe9ee80ece1', '8d6c0e07045f435f', 'af7baf231588e929', 'adad0e545f08b79d', '044e0a37c327cc04', '53d9c4d0bc14f6cd', 'a52c8d3fdc9806f5', 'cb6121df5bf759df', '7a46f3a1073a44ea', '7d143a7b55d767ff', '239ee85d525cc9ec', 'cc0b9f33d4d1104d']; context = [[114, 180], [39, 124], [26, 89], [34, 81], [1, 48], [39, 112], [3, 69], [61, 137], [179, 226], [54, 113], [6, 84], [3, 74], [11, 79], [20, 74], [2, 54], [11, 100]]; loss = 0.026807 low_pass_filter = 0.300
+Epoch 0: | | 44999/? [7:05:43<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.10, train/active_min_children_step=4.000train step 45000; scene = ['09dc6ab625b8300e', 'b94a189b3b04d1d9', '873c3591f993adff', '306235ebe8d8ace2', '5502f11f9b3165ae', 'b5e621584bcb03f2', 'fae8dd2a73485eb3', '1ab0c0259d79431b', '1a2dab689da1e13a', '82c1c8656f684b1f', 'fd797c334015e71b', 'af3a65a2494dd781', 'd95cd751ef6f4bc5', '0a7610d317d24b8a', 'a617b569862483a9', '2cd3fc4ad8daeba7']; context = [[5, 67], [144, 214], [0, 69], [42, 117], [8, 85], [15, 89], [10, 58], [11, 65], [8, 84], [1, 63], [18, 90], [43, 90], [30, 78], [14, 85], [10, 90], [41, 103]]; loss = 0.026244 low_pass_filter = 0.300
+Epoch 0: | | 45000/? [7:05:44<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000validation step 45000; scene = ['d70fc3bef87bffc1']; context = [[30, 78]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 45001/? [7:05:52<00:00,  1.76it/s, v_num=oxn2, train/psnr_probabilistic_step=22.00, train/active_min_children_step=4.000
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+                                                                                                                                     
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/gaussian_train_ratio_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/gaussian_train_ratio_sum_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/psnr_probabilistic', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/active_min_children', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/child_count_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/child_count_std', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/mse', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/error_loss', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/error_coeff_a', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/error_coeff_b', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/error_coeff_c', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/hierarchical_patch_position_loss', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/parent_inside_own_patch_ratio', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera_t', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera_r', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera_f', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/total', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('info/global_step', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+`Trainer.fit` stopped: `max_steps=45001` reached.
diff --git a/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/requirements.txt b/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/wandb-metadata.json b/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d2662ce45554d3ba3592a814f219796a18616528
--- /dev/null
+++ b/exp_0511_B16x4/2026-05-11_01-14-35/wandb/run-20260511_011550-xf4voxn2/files/wandb-metadata.json
@@ -0,0 +1,110 @@
+{
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+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T16:15:50.557827Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_B16x4",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=16",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=true",
+    "train.camera_loss=10.0",
+    "model.encoder.backbone.target_pose_source=gt_aligned",
+    "model.encoder.backbone.gt_target_pose_align_mode=nearest_context",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.use_pred_intrinsic=false"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4/2026-05-11_01-14-35",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
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+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
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+  },
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+  "gpu_nvidia":  [
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
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+      "architecture":  "Blackwell",
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+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
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+      "architecture":  "Blackwell",
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+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
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+  "cudaVersion":  "13.0",
+  "writerId":  "yvwgqdwwhuekmf5vznv5junyux9wuxg8"
+}
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diff --git a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/debug.log b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/debug.log
index c66f8cb363bac47677768b2d3326ffc51b43f7f4..95c9f62b79ea6891c0aa7eece875e9c27ce9c80f 100644
--- a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/debug.log
+++ b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/debug.log
@@ -17,3 +17,5 @@ config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': T
 2026-05-12 09:26:03,456 INFO    MainThread:2681180 [wandb_run.py:_redirect():2472] Wrapping output streams.
 2026-05-12 09:26:03,456 INFO    MainThread:2681180 [wandb_run.py:_redirect():2495] Redirects installed.
 2026-05-12 09:26:03,462 INFO    MainThread:2681180 [wandb_init.py:init():1094] run started, returning control to user process
+2026-05-12 17:55:50,833 INFO    wandb-AsyncioManager-main:2681180 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-12 17:55:50,833 INFO    wandb-AsyncioManager-main:2681180 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
diff --git a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/files/config.yaml b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5aca71411e6d444c6f19d05051f2efa65cac3247
--- /dev/null
+++ b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/files/config.yaml
@@ -0,0 +1,348 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            qrj2s6ymioolmg11sco67l3e2m338f7v:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_B16x4_TrainAll
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "941278277632"
+                email: backrockqwer@gmail.com
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
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+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22
+                startedAt: "2026-05-12T00:25:56.797493Z"
+                writerId: qrj2s6ymioolmg11sco67l3e2m338f7v
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
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+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
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+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_B16x4_TrainAll
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
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@@ -2780,4 +2780,2488 @@ Epoch 0: | | 23769/? [4:30:25<00:00,  1.46it/s, v_num=z07g, train/psnr_probabili
 Epoch 0: | | 23779/? [4:30:32<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 23780; scene = ['f4dca39287187d39', '9510c1bbe7d37939', '2046b9ba5c527c28', '8f36773c9aa1a91d', '6ca66a506af6977d', 'a2c3934b695a1514', '30ad1d6e17b4922b', '95944b694ab2fe24', 'e1cdd73fcf663dff', '1f1744b617eb9080', '36752f8fe51ec622', 'c18059287117dc42', 'b06d8179dc790851', '8c1ea3036d433d59', '203db9a6ce37b351', '06966417c542a4f6']; context = [[99, 136], [64, 107], [84, 124], [40, 101], [83, 149], [66, 106], [31, 72], [82, 136], [17, 63], [151, 197], [93, 130], [56, 121], [14, 71], [168, 206], [0, 41], [33, 92]]; loss = 0.010144 low_pass_filter = 0.300
 Epoch 0: | | 23789/? [4:30:39<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 23790; scene = ['28be048b18c389ca', 'd194a6dd4069b4d3', 'db824aff06a55894', '9cf2eea8fcc7d2e5', '3d7b9635ce40110e', 'd6c25b52e39788fd', '8ffce2b1cc62109c', 'a1e59c09aca976c4', '0aa2d2048c581dff', 'ba912e46735db7fa', '8eb7ab71f603c9d4', '583b01780d32f323', '9e1b58ec292d6690', 'ff87c19446c6325e', '177f4c538bca33cb', '87d4cd64fed11f2d']; context = [[24, 75], [16, 54], [5, 69], [14, 58], [46, 104], [63, 102], [111, 166], [1, 63], [214, 274], [115, 178], [72, 133], [0, 37], [3, 67], [40, 77], [8, 72], [11, 56]]; loss = 0.009891 low_pass_filter = 0.300
 Epoch 0: | | 23799/? [4:30:45<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 23800; scene = ['dbc8f6b8f02a5df6', '72e02bab04fb8c64', 'fac84877f62bf4ac', '6d5adb44b0fcc0f5', '35504747966f90b0', '752a9ba05152ec94', '0923f3552ad572f7', '42b6210318e504de', '9a10d4b47d4c3b2a', '38a359f7eaeebdb3', '87b5b7b36ca1c6c8', 'a09912f76919c58d', 'e8e7f9455eb59fad', '65e2be2f97378beb', '996208a794d41f95', '8e178e5791592e45']; context = [[54, 113], [28, 66], [5, 45], [59, 117], [7, 50], [79, 116], [2, 50], [0, 38], [36, 92], [54, 118], [0, 38], [56, 112], [10, 76], [117, 166], [63, 110], [38, 78]]; loss = 0.007810 low_pass_filter = 0.300
-Epoch 0: | | 23801/? [4:30:47<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0
+Epoch 0: | | 23809/? [4:30:52<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 23810; scene = ['b3f1d9e291979d4d', 'cb9560f7008d7314', '9c5add8591f693dd', '59c7874807e993bc', 'e84178ef466d3974', '93fb96bc2d3b8bff', '58f4b2ce84d33565', 'a9b070f212e5f277', 'd2757e2b5edb04c5', 'bbb36359cd553f3a', '6aa927450138c021', '780ad45fced462d7', '0ec197e81b8d0f77', 'be6471058d2d22ab', '620d222665049f34', 'ec30b155fdb742b4']; context = [[15, 60], [19, 77], [60, 116], [223, 278], [47, 95], [0, 43], [162, 212], [76, 139], [17, 71], [12, 53], [62, 107], [37, 78], [39, 86], [2, 60], [2, 47], [98, 150]]; loss = 0.009171 low_pass_filter = 0.300
+Epoch 0: | | 23819/? [4:30:59<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 23820; scene = ['26b7cc5562e364f1', 'e4832b64e5b73784', '0be9edb1ba9bf557', 'b453004f4b83ddfc', '4ded834533bbead0', '4d72f2752f9a8439', '969c91a2507e2d81', 'f9ee4b8ed48bd9f3', '24add6cb04d4d532', '0d39f26bcf32c8a5', '626634d7c85c3909', '74100e9fd6373f84', 'e36559fcd2232e9a', 'f36581e435eb92a5', '163b00dcf34c2a6e', 'aaeda995507b804d']; context = [[5, 47], [0, 50], [199, 242], [90, 134], [22, 63], [77, 130], [18, 69], [5, 54], [42, 107], [58, 110], [0, 43], [129, 185], [7, 49], [2, 52], [13, 50], [18, 75]]; loss = 0.011043 low_pass_filter = 0.300
+Epoch 0: | | 23829/? [4:31:06<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 23830; scene = ['8e2be4982c66d479', '94be78a8a5500285', '2a866103ec3d8348', '1f0cf1a9439210f9', 'f3b614caf5078792', '9e51170a8e584e09', 'b84872a112abb026', '82fb9650578cf923', 'dc775a94f29436ca', '5f4d0a92e1a41328', '1adbee59b28927b3', '9f991ae87bc0e4b1', '71c8c9e729b12aae', '8bd11e42989f95ab', 'e3257f852e9e49f3', '4abee89a8a0ad4a8']; context = [[188, 254], [41, 82], [0, 40], [9, 55], [7, 65], [61, 101], [2, 43], [21, 60], [15, 61], [22, 84], [59, 118], [13, 76], [9, 72], [66, 117], [66, 132], [9, 47]]; loss = 0.009472 low_pass_filter = 0.300
+Epoch 0: | | 23839/? [4:31:12<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 23840; scene = ['54f4ae9238e5d273', '84af5a6dc02a4fc5', '159b1908406ca716', '81816f8687df5c68', 'f0e75cde2232224a', '9b417f4a07fa1404', 'd1ebd5d89e694609', '27912a7783acc4c7', '1b92ff53549440e5', '293ae3a90e34ba37', '84775696a780d940', '3c74942b2a1ebb46', 'd63e688b51974eab', '9400cef95716ea17', 'a563a9ac0035602f', '56f96532473be1b0']; context = [[0, 66], [7, 63], [33, 92], [58, 108], [58, 104], [48, 86], [38, 81], [2, 40], [13, 61], [32, 92], [10, 57], [19, 68], [72, 117], [58, 105], [68, 110], [33, 70]]; loss = 0.011363 low_pass_filter = 0.300
+Epoch 0: | | 23849/? [4:31:19<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 23850; scene = ['cdf3b28814b65c1f', '306b847908786dd9', 'df416414f84e7fda', '68c08dd9afc6b2f0', 'c4cbb66b72003fec', '05281fc06f9b485c', '45122de717639111', '6eab0e0fac67fbeb', 'ccbd1158c0818333', 'dc83f0049473cb5c', '11522e4873b5e933', '3d2323b7e2d6c2cc', '8cb3e7d09f0310f7', '3f7a0be32e85cce3', '70e9f9b109005879', 'ec4d1bc7b2cffc2b']; context = [[163, 224], [127, 181], [2, 42], [13, 69], [203, 249], [3, 42], [28, 71], [11, 57], [12, 61], [0, 56], [13, 58], [40, 85], [42, 96], [16, 55], [32, 91], [59, 103]]; loss = 0.009550 low_pass_filter = 0.300
+Epoch 0: | | 23859/? [4:31:26<00:00,  1.46it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 23860; scene = ['41eee0d73b5ea2be', 'b81d8d1868189a77', 'ab835dbe3d68c7b3', '1f324e80f4d3cae3', '2d26a092f3420ef3', '8517821b7e052349', '649e273139a4154d', '4cf3433161999747', 'de3e555b9b4ad3d8', '927d7dadc0042ba9', '05b75a4253ba2a4d', '55aa00838683a8c7', 'aeec7f8fc81c15bf', 'f30d96407e2302c4', '9160af07eb1e5fc7', '5a39d610506d097c']; context = [[23, 88], [23, 88], [29, 74], [7, 44], [18, 64], [2, 45], [94, 139], [0, 61], [106, 168], [3, 49], [118, 163], [7, 57], [8, 55], [42, 95], [7, 72], [225, 265]]; loss = 0.013232 low_pass_filter = 0.300
+Epoch 0: | | 23869/? [4:31:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 23870; scene = ['3233932b0505b21d', 'd26ab9c62be59001', '4739fc5ed7553f10', '3151e48717cc2a77', '45ec2121ecfbcaea', '25606b1d6b79c3a5', '98875eabec2dbd2e', '99ad6a316ad09fcd', '5893ecb5ca418955', '1ad7adae6a042ce1', '6b8bf7759c041d98', 'bfacba0a18500c13', '8b3765816a0cb218', '841c8115deb71c25', '82be68c78bfd5dcf', '96fbaabf762077c5']; context = [[41, 87], [105, 159], [0, 66], [1, 63], [93, 137], [6, 72], [11, 51], [83, 139], [7, 60], [29, 78], [46, 96], [14, 63], [13, 51], [29, 90], [44, 97], [1, 42]]; loss = 0.009180 low_pass_filter = 0.300
+Epoch 0: | | 23879/? [4:31:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 23880; scene = ['350ee2da20bba2be', 'f9b3fd7bc45c853a', 'df8aed95e105f065', '1b4c3cfe64fe6067', '438b09876af8f04e', 'd9314cc976dfa779', 'a9909b47ff5dd70a', 'f59f1231a6194510', 'ef685fbdf3e576a7', '82b22a784b4af245', '9be3165beb073d95', '59f9c9b55158d47d', '399d4c691a973f9c', '2c71433516d2e8dd', '17975ff871886fcc', '6da93982840c7f27']; context = [[18, 67], [62, 116], [123, 170], [32, 97], [14, 60], [79, 132], [8, 54], [20, 80], [20, 65], [55, 111], [54, 97], [25, 81], [38, 83], [30, 71], [40, 83], [176, 216]]; loss = 0.009891 low_pass_filter = 0.300
+Epoch 0: | | 23889/? [4:31:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 23890; scene = ['74ecb6b8bfd55df4', '459ae388f8b6cf56', '54e69836e875f8ac', '0800911f12284372', '5f8c39c5e8834082', '13cefd85b0100975', '05ec6a8aa6630928', 'de137f51846c63b6', '40a45b91d5f5e533', 'e933e39642413c83', 'a122c1228022e3ca', '06445de8291a6bdf', '95ce04afcd02e7b4', 'fca1f74b2536688c', 'a9480ab19f0edc3b', 'f7dee93d8f7d334d']; context = [[81, 119], [147, 212], [150, 187], [5, 68], [0, 40], [82, 139], [140, 200], [1, 51], [22, 59], [23, 63], [64, 127], [24, 66], [9, 60], [54, 109], [0, 48], [47, 110]]; loss = 0.010922 low_pass_filter = 0.300
+Epoch 0: | | 23899/? [4:31:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 23900; scene = ['b77fab4ece94942f', '445634d65b9394fb', '387a1f901c5bab8e', '47586d863c2e4581', 'be1c77697b6f4f11', 'adf613ef8a2abd2c', '8e95236d29403f90', 'c26cbf75018b9deb', '26dd5a371da578b2', '1997a21f798ca9e3', '6959505fc3548caa', '38b363e3d000f037', '01adadff46865ec2', '10c8704bb6745b6e', '714c3dc97fac769a', '97efb1c9d012a89a']; context = [[75, 115], [37, 78], [14, 64], [19, 73], [61, 112], [38, 75], [4, 66], [108, 166], [12, 53], [42, 92], [10, 73], [36, 92], [117, 165], [27, 85], [3, 63], [172, 233]]; loss = 0.010126 low_pass_filter = 0.300
+Epoch 0: | | 23909/? [4:31:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 23910; scene = ['64f07750a0acd912', '2c70a962096d773a', 'fae93ceeaaf99328', 'd92a6ababd47f047', '121e5c07f2b87ec8', 'b090e2aca65c679a', 'b894adf6610ec8a6', '1a50a5e0096742c3', '5fc14076d0059d8a', '36d957c25ce3a65d', 'c1628e1f1e308fb6', '3985b66cc91776eb', '4af1f08d7b5d1523', '837d2467631c6e6a', '6545dab9a4699ef0', '1a402532663d05ad']; context = [[13, 66], [6, 60], [52, 97], [233, 278], [77, 124], [40, 97], [91, 142], [109, 149], [88, 151], [2, 61], [5, 50], [50, 113], [36, 92], [31, 89], [23, 88], [45, 82]]; loss = 0.010459 low_pass_filter = 0.300
+Epoch 0: | | 23919/? [4:32:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 23920; scene = ['e259e333d962215d', '2421a628a0174619', '513d4618c36d0e42', 'c8f4d22cb5653538', '44b69a93870cf884', 'b4a067f6bed5167b', 'd8d873a1acc0d2f5', 'ff37eb9337254992', 'cbeae4190b62a213', '7b06fe1270f6e417', 'ee3e327301f538d8', '8fc141c868e7d6f3', '0505defd59ecbdb2', 'a17833025aa5db5d', 'eeb5c563af1bd027', 'c8c74724bd3e6fd6']; context = [[38, 80], [68, 113], [34, 91], [66, 106], [26, 69], [2, 42], [112, 157], [13, 65], [1, 59], [59, 116], [24, 67], [45, 82], [166, 210], [4, 51], [13, 67], [0, 37]]; loss = 0.010409 low_pass_filter = 0.300
+Epoch 0: | | 23929/? [4:32:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 23930; scene = ['58ac0ca6ba85ada9', 'ce019e2e248ec5b3', '1346c01a9e322da2', 'd4f58eddfca6260f', '3c102d1802f820c3', '76467df94b133797', 'bc30fab0317ce551', 'a5b167a51f1d8397', '8acffd95fbf48c10', '5c1ce1faee51a8d9', 'be10e6849ca2240a', '45d1ce034325d8b5', '3b7e2ac007968838', '40d0ba7e188c5151', 'fe6612a4ad77c1a5', '07e89fbf76b33051']; context = [[79, 124], [8, 63], [29, 95], [19, 58], [8, 59], [37, 80], [95, 161], [10, 47], [82, 122], [9, 47], [0, 42], [9, 65], [7, 66], [15, 64], [28, 94], [26, 65]]; loss = 0.008515 low_pass_filter = 0.300
+Epoch 0: | | 23939/? [4:32:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 23940; scene = ['c70ec2266ff05de9', '895396d4ceaee46d', '004d2899ce6cfd7e', 'aaf53710fd4ba7fb', '302c98bb282bacf1', '83d97ebbe2e3c69d', '420997bae050f564', '89c836e48cd828c1', '6765cbf77386ace2', '1ab06178863293c3', '78a56baf9c6f433a', '033b631b4a7b6397', '00ad47b927f0c851', '55e0660cad6d7d5c', '7b1854aa0edd0d17', 'de2fae8dc08aade7']; context = [[44, 110], [10, 73], [62, 127], [64, 112], [0, 62], [147, 213], [75, 113], [35, 100], [17, 66], [27, 78], [1, 40], [40, 91], [0, 59], [13, 79], [183, 244], [35, 93]]; loss = 0.009158 low_pass_filter = 0.300
+Epoch 0: | | 23949/? [4:32:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 23950; scene = ['db83efb82741525d', '68f70ec2199dd7c5', '85252cd1589d94fb', 'fea20641f75fac55', '42d4b523a2916051', '95582ad20a09f7ee', 'dc5f3f6bf9b5bbf7', '292ed237c4689f0a', '2ab0a57f87b55a7d', '1f6587bd95d4bdae', '01f7b353655b6eeb', '1bf48dbc7214ae64', '383411354fc1073e', '46d97ff2d47bd0b1', 'dd41d5c9bec9d428', '1b640724a4303dba']; context = [[130, 173], [1, 42], [5, 47], [8, 66], [54, 95], [60, 126], [60, 119], [72, 135], [0, 54], [55, 96], [18, 81], [13, 66], [48, 99], [94, 158], [4, 70], [9, 65]]; loss = 0.010339 low_pass_filter = 0.300
+Epoch 0: | | 23959/? [4:32:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 23960; scene = ['1091902caff03514', '43e02f5bd7d7fa5c', 'ead46a318c2acc92', 'cd9e17454c9fce39', '388b4a886ab03918', '5fe7c4f4a4702b92', 'cf6c752f6f5f28ac', '78b31552d8e87131', '65facef68848d8f3', '56be35cfccd147b7', '52508a22716c1b14', 'a10ab344d6b19fe7', 'ebe99aa369e9d866', '96685d6fb541e340', '1e0c95d706b4ad26', '39056c1a044a93ec']; context = [[62, 123], [33, 76], [194, 234], [9, 75], [29, 93], [93, 143], [191, 234], [32, 73], [64, 123], [11, 75], [91, 137], [143, 193], [3, 41], [31, 74], [92, 131], [45, 101]]; loss = 0.010456 low_pass_filter = 0.300
+Epoch 0: | | 23969/? [4:32:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 23970; scene = ['79c9700db65046b2', '8d287cd90144bd12', '4d037353eceffaff', 'f42f2bd21cb160f1', 'a1bb2d60fddf47d4', '8a82ebaedc2cff44', '3af5cc9297f1a4d4', '41d2fc0bf09f8ad8', '8149c3a980cebc93', 'c39bf602062e4dc2', '97e0b8e8857a9811', 'b626d208b933bef1', '61626373a7464fb8', 'c82230f3fd1f06f0', '88b06933ce7de77f', 'db53ab3a561b778b']; context = [[18, 63], [45, 82], [33, 84], [25, 91], [29, 77], [163, 217], [116, 159], [123, 164], [30, 83], [19, 80], [29, 71], [11, 60], [185, 233], [5, 45], [60, 118], [17, 79]]; loss = 0.012615 low_pass_filter = 0.300
+Epoch 0: | | 23979/? [4:32:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 23980; scene = ['70c56631eef0de6e', 'abca120df6b75dbe', '0d8e5289e56244c4', 'bcc00e27ca39c0e0', '2c233ea19f5a5f34', 'fab2da62901db99e', 'c04814a993082566', '94d6c9640b346a2e', '40c9b11b7a6808fd', '4eddff1b7fab511e', 'f713eae29d194d0d', '67049416a81e3457', 'd60dcf55511d8be9', 'a2ca981bcd5a2576', '56e7b45a1a6809b5', '42b07aa8d3701d5c']; context = [[17, 58], [8, 67], [10, 48], [2, 55], [52, 105], [3, 64], [51, 89], [41, 107], [87, 147], [4, 60], [1, 43], [16, 76], [213, 268], [50, 98], [42, 80], [53, 118]]; loss = 0.013124 low_pass_filter = 0.300
+Epoch 0: | | 23989/? [4:32:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 23990; scene = ['16ae5cc96adfad6c', 'd477bc7d47591527', 'b1b495944794f97c', 'cefe35d51bec9a7e', '8d43a7230b10a6de', '6119beda95f11d2f', 'd9046310390dcaf3', 'c35caeecb39384c1', '0a11dd9556fc99b0', '0d4ae3101bbba58d', 'ef4a031cc59eba0c', '1ebafcd97626e04a', 'd9641b3f6ca0b13d', '0f819dc526c6789d', 'd2086a2d8ce2a6fe', '88c708a41a1fb05d']; context = [[11, 64], [2, 48], [102, 146], [44, 91], [8, 69], [28, 72], [1, 38], [69, 113], [16, 70], [12, 67], [175, 217], [65, 116], [2, 46], [3, 44], [13, 67], [41, 80]]; loss = 0.009806 low_pass_filter = 0.300
+Epoch 0: | | 23999/? [4:32:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 24000; scene = ['332db302db18a6b1', 'db97b11381863147', '58fd1e2aa6aa30fb', 'aeba0e80ade27c60', 'dd61e223f3c5ea1c', '0e72cd138b93788d', '9720a52405835b98', '0eedfd3367866a18', '7713ce831ffa7df9', '0ab530d9a633759b', 'c39f1a9a73797efe', '6eaf25e955229c09', '6b0d274033a5e77b', '49bf7713961a7248', 'aa62a6ac70b80789', 'a28f806c4f91b310']; context = [[12, 78], [73, 121], [132, 198], [68, 132], [138, 201], [199, 262], [28, 69], [5, 59], [7, 60], [3, 54], [0, 50], [136, 177], [72, 117], [19, 62], [31, 69], [67, 125]]; loss = 0.010713 low_pass_filter = 0.300
+Epoch 0: | | 24000/? [4:33:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0validation step 24000; scene = ['62b83cb60c353c3c']; context = [[16, 79]]
+Epoch 0: | | 24009/? [4:33:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24010; scene = ['0ee076a95be50227', '0334f55ea3b2ab1a', 'b1b24b049d5a5da4', '99082829de5c73d6', '8c39c84ddbe910b0', 'a41891d1637dfb7a', 'e003492481dc97fb', 'cf99be734020f5e8', '6117c2b20945c81e', '82e322fd874646b4', '41ec906dc23d8331', 'de4089b39a60c2a4', 'c40aa75b5f7bc9e3', '2d9ea631e6423141', '36feb99313a2de30', 'dbd3d7fbd6bc898c']; context = [[191, 246], [35, 86], [5, 62], [110, 176], [143, 195], [85, 126], [44, 107], [13, 70], [140, 184], [0, 41], [109, 168], [3, 52], [10, 66], [8, 68], [45, 105], [21, 69]]; loss = 0.012361 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 24019/? [4:33:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24020; scene = ['9086929b365d2a3f', '5b3b21b947b6ac98', 'b18c3a67a54657ef', '81862b995f91b0d7', '34c71b535c38bb77', '13aa603a3003bf77', '1f75e8e099e8c7d2', 'ef5db6b3bdfb233e', '9be32111579c9933', '21fe3a38ab64fce5', 'f5ffca00f6cb3a2d', 'eca27ee3d2248402', 'b4ae1b697a1ac6da', '4cee9bf0a2b1738c', '388e0fc521804f76', 'fd15c58a3f4f0b8a']; context = [[19, 66], [11, 49], [1, 56], [17, 76], [14, 60], [0, 38], [53, 119], [26, 65], [13, 61], [25, 62], [48, 101], [66, 117], [60, 102], [116, 160], [11, 53], [6, 68]]; loss = 0.008995 low_pass_filter = 0.300
+Epoch 0: | | 24029/? [4:33:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 24030; scene = ['cb6a581957b0a925', '5c047522c1e8764a', '86168d9408d50c1d', 'd438e6b186071150', '70b6c45280496e84', 'c75dd6b151fc618c', '39fa6b21b5a2e65e', '0b8049e94cc33a66', 'e970eebc4848850b', 'a7fe1e367a54260c', '94a5f9c34755c629', '33713bd6ed0d6848', 'fd19a3e4b1433dfe', '88c6dd400bd1a841', 'a8964dbe9bd1945e', '47569a0a8b03cf52']; context = [[33, 79], [127, 187], [26, 84], [0, 37], [17, 54], [2, 44], [4, 48], [12, 65], [23, 80], [25, 76], [4, 58], [69, 107], [209, 266], [0, 42], [49, 115], [26, 77]]; loss = 0.012010 low_pass_filter = 0.300
+Epoch 0: | | 24039/? [4:33:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.0train step 24040; scene = ['3173dcf11b45695f', 'e4a14a5915332187', '0622c6096332a69a', '05d2b3e63f804182', '94b6bf83efdd3edd', '39044838f64d337e', 'be030509e218a0b9', 'd2c3b70420c6cfc6', 'db2ecb802aa71a3a', '0b5f0a8b0d0c2956', '01f39d13bb99269a', '2d6e292fc429fda1', 'af19ab9142e2bc9a', '63d40a39f3452fbe', 'f52052af294fdb8d', 'a1492834cf50d376']; context = [[176, 236], [31, 78], [55, 107], [177, 219], [4, 53], [51, 114], [76, 121], [137, 174], [14, 76], [9, 54], [54, 96], [16, 76], [14, 61], [2, 57], [45, 84], [37, 93]]; loss = 0.010575 low_pass_filter = 0.300
+Epoch 0: | | 24049/? [4:33:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 24050; scene = ['e57e823e91ecadc1', 'ff6db2e6978774e3', 'bf80a0c4f9a745ec', '4ff236b2462faf59', '04de8393f28baf2f', '44c693695665aaa2', '9fd3290cb9824a73', 'a4f23e07467a01f6', 'c2289c708c7f0629', 'a9f37c71b1b5020d', '3490d69bb9b94e04', '709e2b69775f5c88', 'a20e94370bdfc580', '7f437dc9fea6612d', 'd782aeed17560ed2', '84b82a9506bd8483']; context = [[2, 63], [7, 60], [18, 78], [1, 65], [44, 106], [63, 100], [4, 50], [124, 164], [0, 56], [17, 58], [45, 99], [30, 82], [0, 37], [113, 162], [1, 46], [86, 130]]; loss = 0.010742 low_pass_filter = 0.300
+Epoch 0: | | 24059/? [4:33:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24060; scene = ['d029278cfa60deff', '031f129ff5a92a4c', '0fdcf15c9429e174', '2f66a0b10f4cfdfd', 'be7a580fe9665300', '0e4c27f2c15deee3', 'c1a1b6cf6c638d5d', '768926bca273960c', 'd261d26a10a93975', 'fcf74e68c2678dda', 'c3bc207f4af7ad46', '6f72032f93d39fef', 'aaff3ba252aa4421', '3bb404adfcc380b0', '03d4ce90615f67c8', '66a04a4a5584e611']; context = [[22, 74], [2, 40], [88, 152], [13, 62], [16, 78], [28, 94], [2, 62], [32, 78], [6, 65], [30, 82], [31, 82], [41, 106], [47, 92], [16, 75], [109, 165], [113, 160]]; loss = 0.015050 low_pass_filter = 0.300
+Epoch 0: | | 24069/? [4:33:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 24070; scene = ['cb72c6bb904fde17', 'a1ff280651bb5e19', '5a94ceba79711c13', 'cf191fc42119779d', 'd824ca7f84872f21', 'c6e4fdb671358913', 'a31787ba3f42448b', 'b7e45d8a8f953221', '9598262787c89df9', '1c545caf1931d773', '070a222242536f42', '6ca4270fc9377c9a', '529d61d09bec94a1', '0586a78aa1664230', 'a7fcd0af8ef3781d', 'c778cdae47e2ff13']; context = [[28, 75], [16, 68], [144, 209], [41, 82], [23, 77], [1, 39], [1, 43], [6, 66], [61, 115], [11, 67], [1, 58], [13, 50], [71, 113], [8, 64], [17, 64], [1, 38]]; loss = 0.008928 low_pass_filter = 0.300
+Epoch 0: | | 24079/? [4:33:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24080; scene = ['6a979d335c1f69e8', '84e4a70283bc8836', '717f2ec498319bd2', '43715c109fe873c0', 'a21fe9049dd4f031', '299dcb99c47bc017', '62de473c850d20da', '3b904c75121b50d6', 'dc8a0bd69271e29d', '1bb32d47bab4d0dc', '0a683a595f574a3e', '7ba0f68640ce9c8e', '412977eaf3f723d3', '1be5aeafa693a55f', '067465f3c21db874', '463e2b4db1450630']; context = [[0, 44], [24, 77], [6, 72], [26, 64], [37, 93], [1, 41], [100, 158], [1, 60], [5, 50], [32, 71], [135, 196], [7, 54], [79, 121], [225, 276], [7, 71], [167, 233]]; loss = 0.010839 low_pass_filter = 0.300
+Epoch 0: | | 24089/? [4:34:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 24090; scene = ['acdd744d7e7b4013', 'e90142433a6207a4', '27f37406fe96b739', '04aa3009488aa639', '09b119527170cd6f', '408a7c1b8fd8d5a1', 'd4f271dbd5fa263b', 'c69a920bfc53e58d', '81dd5d4e158301b9', '5c76d38937c600b1', '3678eda4b6306e23', 'f9a728faa63a1d3b', 'f1a2a1855da568fe', 'fd79bc222f3d215f', '38f4d6848424acfc', '2aacf3b31d7ddb30']; context = [[61, 106], [1, 64], [48, 93], [31, 68], [128, 182], [24, 75], [0, 52], [13, 54], [33, 93], [28, 86], [13, 54], [9, 60], [30, 67], [65, 127], [30, 69], [6, 56]]; loss = 0.010689 low_pass_filter = 0.300
+Epoch 0: | | 24099/? [4:34:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24100; scene = ['25d01adc0dba1ce1', '242a6bb6504da60b', '5d69e869219fef05', '571c726d284c5fef', '61e58c0e1e989379', '43f5a800c0b89a68', '9c61e0481dbe1643', '0e2268381b97888e', 'fae84f9901505e34', 'e7db8f8b988dc249', 'e1d4b9c7b39aa748', '6e227c266fdbe6be', 'fc9d80ae4b6f4319', 'f801f07cadabddfb', '60fb060caf4e0c64', '4889794e0a6b1495']; context = [[63, 111], [12, 57], [75, 130], [56, 103], [114, 175], [6, 71], [113, 155], [183, 229], [13, 72], [21, 65], [128, 186], [25, 72], [0, 39], [1, 54], [106, 147], [29, 95]]; loss = 0.007702 low_pass_filter = 0.300
+Epoch 0: | | 24109/? [4:34:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24110; scene = ['232e85250de4fc24', '304188462e3d3219', 'cee0290238ec48ae', 'dc4ca047ad86ad9b', '7c8d84ba7289a65f', 'b7e386ba9ef4dac3', '45061041e453e182', '4f31d4577d06a270', '05c1700c09437b52', '04db935b17a03775', 'a26b34b70b0aabcf', 'e4284ea25d47d0e6', 'b38df35ba9835cf0', '6adf75bc6d45fed7', '74ff55f4ab8a28ed', 'c58fade4e0d7d3ef']; context = [[32, 74], [23, 64], [5, 42], [125, 181], [33, 99], [95, 138], [89, 137], [6, 62], [59, 107], [5, 62], [62, 105], [102, 147], [35, 79], [85, 143], [7, 67], [54, 112]]; loss = 0.011764 low_pass_filter = 0.300
+Epoch 0: | | 24119/? [4:34:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24120; scene = ['e7502de958354176', '40006adec86cdcc2', '503c9940f2fbca1e', 'd77406fa7f3b9835', '950df50263df8522', 'bd4700646e17b05f', '29f922dcbbf6e882', '4b94c03307031f70', '603cf62aff2f71c6', '003977c5456b561e', '6e58ea1e0f80b318', 'c75b763b30ccee6c', '4ed1f85c32d21a00', '101d8b04b3837471', '218e5769692aecdf', '76f8be7e88d50aa4']; context = [[37, 86], [112, 155], [36, 86], [5, 43], [201, 254], [51, 112], [64, 127], [2, 49], [1, 39], [35, 98], [173, 238], [18, 58], [58, 113], [14, 59], [120, 184], [135, 200]]; loss = 0.009986 low_pass_filter = 0.300
+Epoch 0: | | 24129/? [4:34:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24130; scene = ['0e10db62c44b48ba', '964a7d0c80ea431f', '11112d5aeab31689', '4d6a1bf4c39100f7', '4722c8deb063edf6', '0c7d36ad5763c797', 'd49c1d10428b3d70', '5387ea1020469345', '6a40b490a091c77b', '1182d7d1c0cbff1e', '3307278c57b32d21', '3d48789267dda573', '9a3cd88e7992e094', '03aeb7cc51b34332', 'c2b4c2d376a4a2bb', '518b5b152dbe9bed']; context = [[86, 131], [143, 191], [14, 52], [8, 48], [129, 180], [55, 105], [76, 128], [1, 41], [20, 75], [22, 78], [32, 81], [133, 173], [32, 86], [23, 84], [6, 45], [125, 180]]; loss = 0.008779 low_pass_filter = 0.300
+Epoch 0: | | 24139/? [4:34:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 24140; scene = ['a18b5e5cff3d2ed7', '84a677850a497c1b', '2a969cee05781858', 'b6505a16a99fc05d', '146f7025acd4ae32', '763d75d516920a3f', '533d7e15bdc275ad', '0ab2ee95193dca6d', 'dbfa4a019a577df0', '3722e45b5966fc7f', '559d1c71c237ed63', '91d197f925891f41', 'c3914b367617df25', 'c73ba4e9b8857f86', 'f775386efb45738a', '751c329e576944d8']; context = [[59, 121], [15, 70], [174, 240], [62, 110], [143, 187], [7, 50], [0, 66], [18, 58], [24, 85], [72, 121], [23, 85], [9, 64], [8, 58], [163, 227], [23, 75], [36, 78]]; loss = 0.010888 low_pass_filter = 0.300
+Epoch 0: | | 24149/? [4:34:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 24150; scene = ['4994aabf6ecddf13', '3f42e06ced17f8a2', 'ed9d715df2eed57d', '8b980fb43382ce10', '483662df1f507119', '760c626fa583ca58', '4537957ef30176c2', '03fbcd2f324b9946', '1c84e33ec928d7a3', 'd9dce3382830aea6', 'd437beb1a01fabf2', '62ff792e124c30c3', 'a7a79393e5bb8108', '6cee8362ee57a4c7', '7ebd83e1c25311ce', '8fed29af74002491']; context = [[1, 50], [1, 43], [53, 112], [19, 83], [0, 60], [8, 72], [50, 114], [5, 42], [11, 66], [14, 62], [31, 93], [13, 54], [117, 171], [45, 100], [17, 58], [42, 102]]; loss = 0.011083 low_pass_filter = 0.300
+Epoch 0: | | 24159/? [4:34:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24160; scene = ['a32fc3de0b32b930', '0eaec5ae110ae727', 'ee6b9ef2d2ea8772', 'cfa669d1520d3599', '6a3752b1792ce8af', '9b8641a671477a0b', 'f8b1b1dee0f06037', 'e07b8e5f6e9fef91', '992f1f0a1f9a6047', 'db03a39f685c9f43', '3f4ca1ecea630686', 'a5812ef0bb0bc156', '374db1b7332138aa', 'ce72473f822a7431', '1c06424538dd9ee5', '4c3e1a9242e4bb83']; context = [[15, 69], [12, 58], [102, 149], [36, 77], [71, 133], [30, 96], [30, 87], [31, 89], [10, 72], [2, 54], [21, 85], [0, 58], [89, 127], [83, 128], [1, 38], [159, 208]]; loss = 0.011474 low_pass_filter = 0.300
+Epoch 0: | | 24169/? [4:34:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 24170; scene = ['4ab2f8367e37a730', '5fc58233c894f917', 'be78b445daa29b6b', '82513f328f3249f6', '8fe5fd9e06ca3c9e', 'bb7fb00560d88234', '004f7056eddd68b8', 'a74f43b16ad90fbf', '72f41340c3506abe', 'c3bafca269ab8b48', 'e8f4103470bffeec', '7f19946005cbe8f0', '253ad0422954892f', '998802a48c76fd37', '6989116a3baf6c4c', 'ccc8fb6694c05156']; context = [[87, 145], [198, 236], [17, 69], [6, 44], [11, 52], [25, 74], [73, 128], [119, 179], [21, 72], [39, 95], [19, 75], [5, 69], [0, 42], [74, 124], [35, 90], [70, 112]]; loss = 0.011064 low_pass_filter = 0.300
+Epoch 0: | | 24179/? [4:35:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 24180; scene = ['3a5198b65dbb885d', '7312029bb0d183d8', 'ad1ad6648a30592c', '352ea39555d2784c', '7e66af8c0e89ae25', 'e1cafceb24432d44', 'e512c4632c5fd221', '84755f2c302bf61a', '3f89af6eab33d00b', '1de4b62d250a54ff', 'b599da50d37c20a8', 'f427626eef7d023e', '9a023c2ffb17bd15', '67c10f315065cdf1', 'e6d5c31e345f622d', '9105a2228767887b']; context = [[13, 68], [1, 65], [33, 96], [65, 112], [0, 43], [18, 62], [49, 89], [32, 79], [16, 69], [20, 70], [73, 130], [17, 83], [167, 206], [15, 77], [5, 63], [0, 45]]; loss = 0.010203 low_pass_filter = 0.300
+Epoch 0: | | 24189/? [4:35:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24190; scene = ['ddba8b26d038c9bd', '6c6ece22d9698576', '766a9f7c71d87d44', '5e0539538d66bbc1', 'c663eca13c6fabb1', '8cd39b3cd14c6411', '2fed64c174f5f350', 'bdc2a346d6dbf88e', '899009619dae69df', '59690259eb3ec278', 'cafa46fa5b5d16cf', 'fa207cf6631c52b7', 'f891469660dca930', 'b4e1e88264f8183e', '0851113d43080614', '6a6aa6dcb1f34b33']; context = [[25, 65], [58, 105], [58, 112], [31, 91], [10, 71], [0, 61], [8, 68], [13, 65], [6, 52], [5, 49], [1, 41], [63, 101], [118, 155], [87, 152], [12, 70], [147, 213]]; loss = 0.012260 low_pass_filter = 0.300
+Epoch 0: | | 24199/? [4:35:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 24200; scene = ['66c9da321fec37e3', '6211cc59826a08c6', '1235f358f02dac9b', '0421d47aa21b434e', '870061830cde2de8', '2371de80f56e9707', 'bc933b61d3c00879', '49d7417d2f74b2e2', '7af65f2a557b7cfc', '7caf9a683e5004e1', '46fde3a67644e92a', 'a75db3b700245f5a', '91f3903b83e314c9', 'ca842b977ede6e8e', '19d2cf167593bdb1', 'db1fc015ca238790']; context = [[90, 148], [133, 182], [226, 270], [103, 141], [2, 62], [10, 48], [169, 226], [148, 214], [1, 49], [39, 95], [4, 44], [41, 96], [15, 81], [5, 46], [18, 64], [44, 98]]; loss = 0.009558 low_pass_filter = 0.300
+Epoch 0: | | 24209/? [4:35:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 24210; scene = ['591cd9d079cd7842', '34190d68a1b448c2', '58ae98561b032336', 'fc86266e2fcb72fd', 'f50fd819e21ae7d8', 'd57339d1dfa8156c', '8fe341dcd0880bd5', '27f6d11c24c5ff05', 'bbef35c557166ae6', 'c7620995ebe9c4e6', 'b2e8a9bd957dcd52', '4976860ffb8e6b02', 'a51524fc71a1feb8', 'bc3940f8920de711', 'e83b355a8e28b49f', '45799f873cc35e6f']; context = [[3, 48], [25, 63], [34, 99], [27, 93], [71, 127], [38, 82], [93, 152], [43, 109], [19, 65], [16, 75], [13, 52], [28, 71], [156, 214], [1, 50], [12, 67], [6, 49]]; loss = 0.009587 low_pass_filter = 0.300
+Epoch 0: | | 24219/? [4:35:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 24220; scene = ['c6cf5bc481b73149', '80988c00e7f5d21a', 'e1708ac5f3c9a691', '94b4b22fc9ba462f', '640b9d9d37478538', 'ea194ae39cc728a0', '68a7c9ea97d37b45', '59b9ed5329423df9', '9a03f1ebe4d8e11f', '29c107478a356315', '9a1d44db3a25db6e', 'b3263bb9262606c2', 'fbe8be1f434b7471', '86ad7073445c5301', '1147f33298fe1164', '3dbcad1eebd8c8a7']; context = [[46, 105], [94, 137], [31, 72], [46, 94], [6, 62], [1, 43], [63, 112], [27, 71], [48, 86], [55, 115], [57, 120], [74, 117], [13, 56], [19, 66], [106, 163], [42, 89]]; loss = 0.010361 low_pass_filter = 0.300
+Epoch 0: | | 24229/? [4:35:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 24230; scene = ['583731a36ed85338', '8ec25a24042d4061', '2337d2c8ed62f62a', 'd3b11ecdf9a56141', 'a5c4b8df91f1567f', 'df538baac0ae8b3d', '1ab1fedaf04d995e', '04141e7311b5b776', '40d8ab238f652221', '53de9a4e07e66c31', '826bfb24e4dcb24d', 'f5aeb9de1e33fe73', '41bde7bd3b983de7', '63f813f5e1da9722', '37d93c641d86ab49', 'f3133558a4b75863']; context = [[36, 84], [1, 42], [159, 209], [105, 145], [19, 58], [116, 164], [3, 62], [6, 58], [10, 57], [23, 86], [179, 218], [2, 60], [41, 99], [12, 67], [72, 132], [34, 77]]; loss = 0.009945 low_pass_filter = 0.300
+Epoch 0: | | 24239/? [4:35:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 24240; scene = ['5467f445ba3f52b7', '33b0c1943b5521bd', 'e77aa644133c2577', '7669e97d364f029a', '4105f8cb0d05cdb7', 'd72511cb9e41d03d', '6e8dae6bdfab4885', 'c6eb58835445b87a', '54190bcf73f4eedf', '5222beadb503d49a', '3b0773ad88f66cb8', '575b15967a383d40', '5df48aeba173d6a3', '299452d01e7e3684', '3ed2bee6a3080b18', '04887b0875f7e718']; context = [[11, 71], [9, 53], [105, 151], [9, 57], [29, 91], [31, 95], [19, 72], [48, 87], [22, 70], [133, 191], [109, 169], [27, 71], [36, 90], [14, 51], [1, 40], [77, 134]]; loss = 0.009256 low_pass_filter = 0.300
+Epoch 0: | | 24249/? [4:35:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24250; scene = ['83dee72aa5e820ce', '249ad28e5fa1245a', '145c5ec5819526af', 'ab52e9612e7a4eab', '3700d0ae62ced4af', 'b8dc72a859facb4b', '8a6f6565aa136bfd', '98765b730c2dec17', 'abe30f78eedbc519', '80c0d9e23ff5c4d0', '564a8cb026ae12e1', '49328b9c29331060', '7813fb5636484cd3', '7ab30ef220195ce1', '9b7a094854896bc8', '28478600e3b81375']; context = [[46, 87], [1, 38], [24, 78], [109, 148], [48, 91], [56, 114], [184, 242], [23, 64], [26, 81], [40, 85], [2, 56], [59, 101], [11, 52], [44, 110], [168, 225], [0, 38]]; loss = 0.009788 low_pass_filter = 0.300
+Epoch 0: | | 24259/? [4:35:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 24260; scene = ['7517d3bb59f2a3f9', '55eb4c5f38e2129c', '2f4de674cef4b745', 'e7bfd263ace09454', 'c88338c9d91fa766', '4df26a05670de190', '89d9ee9f99fd55df', '5f33a3cefc16a608', '2d6e5b8046acc8e9', 'ede816a29cb7f0f1', '004a40da569ee807', 'da2b6199a9135d43', 'b020cec718b2a496', '47a8853f48974faf', 'c12b4b8fce580e89', '87fa399fdd73af24']; context = [[77, 131], [36, 97], [13, 50], [80, 132], [71, 136], [9, 57], [207, 259], [12, 57], [80, 143], [205, 244], [21, 78], [126, 170], [1, 65], [24, 65], [101, 154], [6, 47]]; loss = 0.008900 low_pass_filter = 0.300
+Epoch 0: | | 24269/? [4:36:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24270; scene = ['2e8d7c7897b54d07', '27e25582bc09a0de', 'b36e08c9639805a6', 'a3c9ffcea941f481', 'c51d0c23240a5ad8', '697e5db37b8f4789', 'c26c2e3257c2d464', '7e976bc0f1d6a254', '51510fbef3b39cc1', '5cc3dfa3b3807082', '9d877d6efc311dd0', 'c12354c83d4cb636', '9ec896ca8523566c', 'a086f1603f3f84fc', '4ad025cbff80faa0', '78ff0866d09b782e']; context = [[146, 186], [49, 86], [32, 91], [100, 153], [177, 215], [116, 157], [180, 226], [20, 70], [0, 41], [7, 70], [4, 52], [1, 57], [19, 78], [46, 96], [145, 205], [91, 139]]; loss = 0.011081 low_pass_filter = 0.300
+Epoch 0: | | 24279/? [4:36:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24280; scene = ['06f89770ac98c0bc', '17207c6d01e581aa', '18c331ce99f35768', 'a1955529ad4d0bfc', 'ea75a24310baa880', 'f5a5531ff428e472', '2ef0d0332158065c', '4f8f147aa57d41b5', '170b4b62ccec39ac', '220cb02a56df8409', 'fefe78a1afa08739', '69c9408ad6a92739', '61b37a9ddf06ebeb', '343f2c2d3fd75fb7', '178f82d5c641b3c0', '70e43f19fe209071']; context = [[6, 73], [1, 59], [31, 90], [14, 57], [6, 54], [7, 64], [209, 274], [20, 61], [55, 96], [23, 86], [51, 88], [78, 126], [18, 81], [138, 193], [31, 79], [23, 70]]; loss = 0.008909 low_pass_filter = 0.300
+Epoch 0: | | 24289/? [4:36:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24290; scene = ['ca0d07682836a687', 'edc83e7b7f29783d', 'f2b206d102455492', 'b48a74d5897225b7', '1ef4450999f0e6a8', '55f1013e8571c494', 'f588ea739564c96a', '163b00dcf34c2a6e', 'a0aa55abb59b70e2', 'c8557da11d7874e0', 'aaeda995507b804d', '091fdc7a25e6f6bb', '17d0ebb4232549dd', 'f36581e435eb92a5', '3ec63a7f8feaee08', 'bb95992ebf558470']; context = [[66, 132], [41, 104], [27, 90], [12, 58], [44, 99], [20, 59], [49, 108], [7, 44], [36, 97], [16, 61], [20, 69], [162, 220], [10, 73], [8, 51], [51, 103], [9, 64]]; loss = 0.010111 low_pass_filter = 0.300
+Epoch 0: | | 24299/? [4:36:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24300; scene = ['185dd19a374374ee', 'b4ad9523e2d5d1b6', '98b704ffc9ad975b', 'efe68758a4f58ec2', 'cc0312fce0eb4810', '2ecfe92d63af8e8c', 'c0d7c010544c5256', 'ab9bdef51c74535a', '3c2046c344fb8daa', '85719f352ee0c48f', '409f79107bf87d9a', 'd8fa74c9de7810d9', 'd244e00302839aa1', '523c8d9edc5b09cd', '0b9517e1c9fa61dd', '8b09c84f1ccbb970']; context = [[0, 51], [18, 69], [7, 59], [38, 82], [14, 56], [2, 49], [12, 58], [7, 57], [11, 58], [40, 83], [51, 118], [30, 91], [18, 57], [58, 124], [28, 87], [43, 107]]; loss = 0.011452 low_pass_filter = 0.300
+Epoch 0: | | 24309/? [4:36:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 24310; scene = ['bfa9042d0f35d6df', 'ecd91cb5b8acbad9', '37f5c9bd33e92d4d', '30878b54736367da', 'c520e25d5bd303ec', '7ce59b93cd4d98ac', '1e55d866b0335343', '69a31234f2d534f3', '63d30096d9447949', 'afd894a4b5460a20', '21122af05bb14a08', '3eba2babc6d32260', '06d059c778425778', '1ba3ae46eda9f013', 'd82d41749c3d8e11', 'f6dd643a4e792839']; context = [[2, 52], [46, 104], [192, 249], [27, 88], [21, 83], [124, 173], [207, 258], [0, 65], [42, 104], [40, 80], [8, 72], [10, 64], [41, 82], [18, 67], [14, 78], [4, 46]]; loss = 0.013498 low_pass_filter = 0.300
+Epoch 0: | | 24319/? [4:36:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24320; scene = ['66bdca6d2d18a969', 'b3c0809819dde91f', 'd4cac1ead89742e6', 'b07850da36ee6d48', 'a9ffa32973bd4581', '88af5684bdc239d0', 'a690352549316d80', '1f44e8ba6f9ec746', 'bf716d89d4fa9e50', '584493d7bc09ccb4', 'e5f7a6ac3ae2f34d', 'db4b14c9bc399d19', '6564e787f68e8472', 'feac8b784fcd5592', '679057d0e2febf0a', 'aaacce7a4a7c9725']; context = [[108, 171], [15, 78], [28, 71], [0, 56], [76, 119], [73, 132], [26, 75], [57, 104], [8, 47], [215, 268], [6, 61], [2, 59], [87, 131], [2, 65], [8, 48], [105, 152]]; loss = 0.009151 low_pass_filter = 0.300
+Epoch 0: | | 24329/? [4:36:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24330; scene = ['78c5c861417f0d20', '4bdb75340d42d415', '294bfa0dd8a9eada', 'b82e83463bf4475d', '4d347b9ec45c4a8a', '0e72268501544770', '454ec1076e5c68b2', '1c5523bd8867d068', '95387090e0043daf', '55ea566a0298d91f', 'c154a6957de15e6a', 'c77a808062342099', 'd2eaa5c3772c2ba0', 'd39f9e760c65086e', '3fbcf1abe6d59580', 'e242cd9849c42fe7']; context = [[23, 72], [37, 81], [43, 107], [87, 134], [2, 69], [46, 93], [47, 86], [0, 38], [33, 84], [4, 66], [2, 51], [74, 135], [59, 106], [46, 98], [85, 125], [63, 112]]; loss = 0.011571 low_pass_filter = 0.300
+Epoch 0: | | 24339/? [4:36:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 24340; scene = ['c2d40b68043e98d5', 'b97b452e2887463e', 'd70de8275a779d95', '3a7dcacc482c931f', 'bed32aee0050abd0', 'ae7c80a778d247b0', 'fa17a491863c5475', '3806cc2e286a8592', '523c819329683e4c', '621342756f23f5f7', 'b3761fc33d30572a', '3fb230c591c1ba92', '0611543dfbc64bc2', 'c78a86f98b10dc29', '43297e0c74c63a14', '8da7e70d5a88d1ef']; context = [[67, 106], [13, 64], [26, 81], [44, 105], [22, 73], [8, 66], [61, 128], [77, 121], [86, 131], [12, 77], [22, 69], [1, 68], [3, 66], [0, 45], [114, 161], [49, 97]]; loss = 0.013324 low_pass_filter = 0.300
+Epoch 0: | | 24349/? [4:36:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24350; scene = ['56dc189334276835', '139dd6dc64abdf0d', '581461d8b3991cc8', 'e8128c97ff255dce', '4b1409aed425c619', '0cde2ea2863d331a', '4e22006021f75435', 'f89505d66a282673', 'd58a26d24f2776b2', '9b4b55d49b0d6c6f', '63ec3dfd04ee6970', '1c1838ca17ba6546', 'f3bc1a6ad7acbc5f', '5977ebfe3fb13dc1', 'f52133a15e87c234', 'e3ea7aa03b61d5d9']; context = [[65, 113], [29, 75], [84, 124], [78, 127], [34, 73], [13, 53], [16, 71], [16, 72], [199, 258], [16, 59], [29, 72], [65, 118], [0, 65], [6, 48], [20, 80], [11, 51]]; loss = 0.008634 low_pass_filter = 0.300
+Epoch 0: | | 24359/? [4:37:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 24360; scene = ['c4e0fdda08b99d05', 'd4c667d40e23cf54', '2ceb6c5a7b8e7d52', '33ca3e6340fd8250', '9328af3177adc783', '3c6e138710fa52e1', '95eac29b72dbc79a', '0f3f75855f29f30f', 'c1cad7540b667a53', 'e5036ebafb2c7a4f', '6adb937f72020aa9', 'ace3b09a2a2be08b', '0a6608f992d052c9', '1f25aecc650a6852', 'e02bb6e43f5c3de3', '71210766ebea65a0']; context = [[25, 83], [0, 61], [33, 100], [41, 102], [11, 60], [10, 69], [120, 175], [59, 99], [47, 94], [6, 48], [72, 117], [227, 264], [93, 135], [33, 73], [8, 55], [2, 45]]; loss = 0.008913 low_pass_filter = 0.300
+Epoch 0: | | 24369/? [4:37:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 24370; scene = ['cb2e7c525b2a06bb', '3bca29d56784093e', 'f9195769208f3b78', '5b96b7d7f025099d', 'bfb5ae7e0ff35145', 'e1fd9e5d95847128', '37dd0ba05e0603b7', '8d477bf98d12daf9', 'f8d7a15647c40d7e', '7fd96332695379c4', '1d0b10cbbff05450', '4e8f9334e2eef69a', '65d23bc2670a9541', '1bc88fc26a0693d9', '998b0da0bf77d594', '1e7dd85214355c28']; context = [[15, 62], [99, 141], [206, 270], [9, 72], [72, 118], [28, 94], [110, 167], [106, 148], [17, 57], [40, 85], [203, 249], [43, 96], [12, 69], [9, 50], [0, 61], [2, 44]]; loss = 0.010703 low_pass_filter = 0.300
+Epoch 0: | | 24379/? [4:37:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 24380; scene = ['fd2c850e3620104a', '08795007f7dbe014', '32a01427f04b7038', 'd324f36129c89fa7', '7623ff6b4eaf4cbd', '463338d27813b202', 'e8e115464fbe84ca', '742400ae02982a58', '970d8b8f32b657c7', '5b24cc641fd8e56a', '91188f3f75824ae6', '11a27e05ba012c36', 'd89dccefb162fa07', '15af009b55f7368c', 'ed686303487b34dd', 'b927257619ef466b']; context = [[27, 79], [184, 228], [75, 122], [59, 102], [147, 195], [7, 74], [41, 86], [4, 65], [40, 91], [58, 104], [94, 144], [8, 61], [9, 61], [1, 41], [67, 124], [98, 163]]; loss = 0.010775 low_pass_filter = 0.300
+Epoch 0: | | 24389/? [4:37:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 24390; scene = ['b65e6eadba27a4d4', '2c484e9510a83538', 'fa4402c07b3c6865', '20475261b8d3418d', 'be6ea47fd801555e', '0b0d341a11dc6871', 'd875f996331712c3', 'a6262cc30cd10451', '11323607c1d04845', '43c939b11c5fed4a', '5055bcc3bc958a3f', '0d094a1d96c9c1e5', 'ffc9f97d4d05e733', '09d8a76ab82bd1c8', '867edbda9bb8ef59', 'bcfff341d1aff83d']; context = [[6, 50], [18, 55], [19, 68], [23, 64], [8, 68], [0, 52], [0, 37], [73, 134], [1, 60], [26, 77], [145, 182], [9, 76], [117, 154], [29, 85], [43, 106], [0, 63]]; loss = 0.009573 low_pass_filter = 0.300
+Epoch 0: | | 24399/? [4:37:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 24400; scene = ['93c939536009ef08', 'd499555530abbd75', '65d4260ce295d5bf', '2c18808cab98b68c', 'b188c7df65c1a4b1', '7c939110807b8ab8', '7ae4c64c2170e4b8', '3a9faf85e0d38a31', '0d8fbb7a2a990b2c', '25b85d674899f82c', 'b6ebb6d3f42b4068', 'c0602efb220e03ee', 'fd676b929a21aeb7', '546fc1cd696d81f1', '085f19c63c2fd05b', 'aec1f5de5391a65b']; context = [[156, 197], [176, 215], [24, 90], [82, 126], [61, 112], [211, 266], [42, 83], [5, 54], [22, 76], [36, 81], [62, 122], [21, 78], [50, 110], [5, 66], [15, 72], [191, 239]]; loss = 0.009269 low_pass_filter = 0.300
+Epoch 0: | | 24409/? [4:37:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 24410; scene = ['82e02b2137ab99c5', 'b0a7c8eb6675bcad', '242841ee74265123', '4738c57794aa47f8', 'd548d549d85db5e8', '4797e813ea4a5ed2', 'b9b2b65f59998894', 'aa1422feefda8499', 'b77f68b6747f4859', 'd0c0d78936b6e5ce', '06f1f44839e7eea2', 'bdc692b9ee710d58', 'b285bf927275db22', '9f557ea23b237b5d', '0664d28ff022567f', 'dc48fb4d76502068']; context = [[96, 134], [14, 69], [59, 103], [21, 84], [130, 186], [93, 160], [88, 155], [129, 170], [4, 43], [13, 71], [99, 149], [97, 155], [79, 141], [75, 140], [29, 73], [30, 69]]; loss = 0.011521 low_pass_filter = 0.300
+Epoch 0: | | 24419/? [4:37:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 24420; scene = ['ba3b89572ec36129', 'b8bdfadb8f643024', '31907a6ebec6ef2e', 'c8e92789f25baec1', '5e8442ca745fd217', '4beafa1c85a14698', '9d682af42dd7d886', '8c2bbeac9417065f', '9012dcef99974756', '2ee23f8203b533b4', '02bb7b7e42bf32cd', '674f584b6f09a890', 'f0fb71e87e8675d2', '4d5b55c12c0028dd', '82173fff18851e0a', 'a1001a4df99e557a']; context = [[14, 67], [5, 56], [137, 183], [174, 238], [27, 68], [7, 55], [10, 60], [2, 60], [6, 61], [146, 196], [19, 77], [22, 76], [10, 65], [20, 64], [51, 105], [2, 57]]; loss = 0.010900 low_pass_filter = 0.300
+Epoch 0: | | 24429/? [4:37:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24430; scene = ['4bcd7cbb7a1397de', 'c3af30eccbfd3e19', '009ded7e45b6d15f', '5b195bc1030ac237', 'bc658fe0b4f75140', '99577030a38ef264', 'bb3914c6e9a2cca3', '9eeb527fbe6dc6e0', 'b79c18c793f776f3', '09854e27eba8832e', 'f48f5c3ac0286b9e', '6e31b2bf905c639c', '622a80e8c63bea26', '2e36d73dd9237db0', 'e86e6458a4b77118', '37ce47d9ebfb29a9']; context = [[18, 85], [26, 86], [61, 105], [30, 85], [5, 57], [52, 91], [0, 67], [36, 80], [2, 54], [38, 78], [67, 114], [30, 77], [10, 75], [103, 164], [137, 179], [67, 106]]; loss = 0.010166 low_pass_filter = 0.300
+Epoch 0: | | 24439/? [4:37:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24440; scene = ['4b6052c5b5512c05', 'db557bfc1ffee066', 'a4c1fe839c7b6b5f', '3bf7857bb7d748c9', 'b6dc677eb037b7ba', 'f9a30d24e405a37e', 'a687e1016df6494c', 'eaf6edde08f1628b', '0bb7fd06010a6679', 'd669efadc5cc98d6', '7e21932901718a57', 'f0d00e37316b2cca', '7c8ec1f892f1f28f', '7abf846b4cebab8d', 'd82d56dae0f3a41e', '86f7033244bf67af']; context = [[202, 261], [11, 54], [37, 90], [41, 86], [22, 84], [69, 113], [5, 50], [34, 101], [5, 64], [74, 140], [4, 45], [2, 64], [2, 54], [169, 214], [135, 187], [0, 52]]; loss = 0.012096 low_pass_filter = 0.300
+Epoch 0: | | 24449/? [4:38:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 24450; scene = ['86713b2ff209a590', '7f6a3a9c5cb0aa56', '503c9940f2fbca1e', '40006adec86cdcc2', 'b4ee79056f9b7011', '950df50263df8522', 'bd4700646e17b05f', '0fe1eb655b38870e', '2e009384920ac153', '29f922dcbbf6e882', 'd77406fa7f3b9835', 'e7502de958354176', 'a484d8e3b6b3b458', 'd8977adc58cb42ab', '06ee53fc9282ed3d', 'faf7fd76a271d419']; context = [[5, 55], [18, 71], [27, 72], [121, 172], [1, 49], [141, 185], [110, 155], [74, 123], [77, 115], [90, 131], [2, 44], [19, 73], [17, 76], [84, 128], [36, 95], [55, 111]]; loss = 0.010879 low_pass_filter = 0.300
+Epoch 0: | | 24459/? [4:38:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 24460; scene = ['4364c3b9403ffd96', '0476107845eb67e9', '07ad3c9e67f8bf95', 'c49afcdb61153e2a', 'a97842b559fa0582', '04ce6d1f0f049069', 'd92ac4b209fa63a7', '801df40f6493d352', '438c7699dda81671', '27d7650462d5f41e', '8df3badfb21130d2', 'a2f4df0f4041193e', '5070ea042c65de0d', '4bef3ad018822489', '208b5060a974d802', 'b072d5e75e95e9cd']; context = [[12, 51], [88, 133], [33, 78], [64, 107], [12, 65], [41, 84], [8, 48], [59, 126], [12, 66], [111, 152], [39, 87], [151, 217], [14, 79], [10, 60], [1, 54], [10, 56]]; loss = 0.015963 low_pass_filter = 0.300
+Epoch 0: | | 24469/? [4:38:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 24470; scene = ['7776d22b2a8132b6', '369ef2ae4cb58ae5', '6972d0b239803088', 'a45f1ef7f8a26bc9', '3de36eca0531b5e5', '08362ea89cc94616', '37934ab378545cbd', '009f5248262f70e0', 'e71dfa0818466743', '92a71ca61a77d2d6', '6e371f54140af211', '9b31c4820fa50473', '27d2477442b9d199', '7c317155a37b32b1', '4317f2b8b541e154', '7cf0b2b224cdffc9']; context = [[62, 114], [46, 100], [101, 147], [15, 70], [61, 99], [137, 178], [36, 90], [8, 58], [17, 74], [15, 80], [10, 70], [4, 46], [38, 91], [22, 80], [9, 52], [35, 86]]; loss = 0.010688 low_pass_filter = 0.300
+Epoch 0: | | 24479/? [4:38:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24480; scene = ['1d8f8faa8a7ec751', '600f168a8eabe775', '9c68a8a0af17b921', 'dba0052f9fa2b5ff', '195abcbfc1760043', '673c9f1a868c7d0b', '6fd38f4a383eb920', 'e910ae6aa6f7ff6f', '6a3cee5a0ca00425', 'b91749559c4f1404', 'bf59bf109ae484d9', '5df6b46fb9668298', 'bcd6a8f9e95c390d', 'fa2cba4c57934de0', 'a463d86f7351eb8a', '4e2ed8b2b55d9631']; context = [[0, 51], [17, 56], [27, 91], [7, 45], [142, 198], [7, 49], [102, 167], [51, 108], [85, 135], [2, 42], [1, 61], [2, 56], [67, 128], [4, 67], [10, 71], [4, 42]]; loss = 0.009543 low_pass_filter = 0.300
+Epoch 0: | | 24489/? [4:38:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24490; scene = ['a56410296c4762f7', '9e3c241e9f50165d', 'd353f6546d670569', '5d5ed476cfeed088', 'cffe7db0efc86b6a', '832038b00ae58f1c', '7f84033b9d1f6a5d', '024713d50b2ab06b', '02d4d0c729448c3b', '592f02d9a81deedc', 'e9d11d18a0abff33', '063dc505e73135af', '92362c407ae31300', '9837661a38ea63e5', '23132b7df2da8457', 'f6ec5537c276e88d']; context = [[10, 63], [24, 78], [10, 63], [25, 88], [9, 48], [21, 73], [3, 55], [19, 79], [45, 94], [14, 74], [69, 114], [173, 213], [15, 64], [10, 68], [46, 107], [9, 49]]; loss = 0.009302 low_pass_filter = 0.300
+Epoch 0: | | 24499/? [4:38:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 24500; scene = ['84556fd53fab52bd', '62be828d9ba51471', 'ba2a2ce5a110fb53', 'fe3356c41851577a', 'e78f201e5bfc0742', 'a6b381f7e736bb58', '10f1c7cda244255d', '1e51a9a349931860', 'e2ca642f83d36d8c', '2035595ebba23bac', '96e0dd87c09dd1a8', '52b0ce9efb240e7f', '16be374e6f6d5d3d', '1c6c2f0ea25ac8aa', '1d8a2a494d7ae9e5', '1c7e0d9da743e0ff']; context = [[39, 103], [82, 122], [43, 88], [24, 89], [0, 46], [1, 42], [28, 70], [0, 51], [0, 55], [48, 110], [7, 53], [124, 166], [13, 57], [223, 269], [0, 38], [32, 76]]; loss = 0.011865 low_pass_filter = 0.300
+Epoch 0: | | 24509/? [4:38:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 24510; scene = ['41792d33faff0078', '61d1afca444f54d0', '9cb162f4d5462a69', '2842753b23031595', 'b09d1ab83491c9e8', '611e7445a2567f6c', '184f88882b243fb6', '430406c1e2815e24', '739668a2e4736e71', '3027e1f17f7891c8', '0b2c6745daa6b386', 'a53e86a301e2d2b9', '01cbdc2687833ad4', '770a3d6cc6eb482b', 'dacf32005e7ff429', 'b54e9392ea54baf1']; context = [[12, 53], [41, 104], [187, 240], [34, 77], [0, 41], [182, 231], [140, 204], [139, 180], [57, 123], [105, 154], [72, 134], [79, 127], [76, 137], [27, 65], [16, 70], [10, 70]]; loss = 0.008877 low_pass_filter = 0.300
+Epoch 0: | | 24519/? [4:38:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 24520; scene = ['711eaae87d76ac0e', 'a526a271a561bc23', 'a57c3d7a98497d6d', '95da46cc74bd865f', '0a3c48bdaf8771da', '96e650d88643f131', '7f332d591ca1980e', '21b43052b04845cb', 'c7af45d1166fe6cb', 'b24a35dc8884076b', '73b27f4f150327af', '5223b08ead451ba3', '57a51e1d7e1b80fe', '7bdeaa5ddcb319c8', '932af4bdfcb8093b', '6e1a2b5a4f427345']; context = [[14, 72], [18, 74], [3, 41], [9, 65], [41, 92], [17, 61], [4, 70], [6, 46], [41, 88], [37, 78], [29, 71], [131, 179], [0, 43], [18, 73], [162, 206], [11, 61]]; loss = 0.009852 low_pass_filter = 0.300
+Epoch 0: | | 24529/? [4:38:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 24530; scene = ['1d617d88d775e289', '0f7660ecfb5d694d', '76f7fdfccb16a0a6', '23d3cb34a508be1d', 'eabc0fbae64a3713', 'c029c78ef50cf73b', '560cd587d67521e0', 'c8655db71062b8e9', '0fc7eabb78854784', 'c4ad60212b208842', '00454b8bf9209de8', 'f43a67d03e2d1906', 'ab3e76a1cff1fde8', '46a01082844ae5ec', '469c7372835b7450', 'b729998f5b2508dd']; context = [[55, 112], [151, 212], [0, 52], [97, 154], [0, 50], [59, 122], [6, 73], [97, 147], [35, 82], [0, 48], [64, 120], [67, 130], [51, 93], [4, 61], [39, 93], [48, 112]]; loss = 0.008273 low_pass_filter = 0.300
+Epoch 0: | | 24539/? [4:39:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24540; scene = ['57bd46c077290a52', 'cfe5980858473caa', '90eb0b4f9eaca4b4', 'f393eb028298b9e0', '6138a5a6ce20fc7c', '0150a2343dbfb3ba', '76f0af17017975ef', '453c9df8e4a96816', '86d35668ab8b30b4', '5a0df8c07e9a9fe9', '2eb5e99df3004bfd', '0d6e53a797be79b2', 'af4058a9e533f84f', 'ce120eeb3b3b4e73', 'a9c47c6038013d7c', '3cffbbab0d4fd5f2']; context = [[145, 197], [98, 141], [19, 80], [2, 57], [4, 63], [76, 131], [3, 69], [72, 132], [88, 136], [121, 182], [34, 83], [32, 77], [23, 73], [99, 154], [64, 118], [27, 80]]; loss = 0.010806 low_pass_filter = 0.300
+Epoch 0: | | 24549/? [4:39:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 24550; scene = ['fedac3f5aef8fd81', '9024684dd45d925a', '541ae18b8f936d11', 'e89204339a7669ef', '4bdef6c0c3e06ae5', 'a017b0cb12cc18ab', 'b75d90c65923526c', '3148978637e8f426', 'd5384f379810516c', '0d93e2b216166389', '0ce5edcc350904a8', 'b194d521d939fe38', '1881e13a88e87fc2', '1dab88f5a54ee41a', 'ec44c38dfa1244f4', 'cfc65d74b27399f6']; context = [[39, 77], [1, 67], [43, 81], [21, 71], [29, 91], [3, 58], [19, 84], [67, 123], [29, 78], [18, 84], [1, 40], [10, 73], [102, 160], [34, 96], [205, 271], [110, 161]]; loss = 0.011138 low_pass_filter = 0.300
+Epoch 0: | | 24559/? [4:39:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 24560; scene = ['09c7171529d82a2a', 'e41dad3f906ed87b', '2abadda3f12274a2', '2b08d88dc7851fcd', 'd44eb5d03836bfa8', 'dcf621e6a39c58b0', '1545821f510802e7', '1dd9a0ed267383c0', '81ee97f3eb44b898', '8604fb955c771d23', '254bab680a316f9b', '6726f4b1be3b02e0', '3e35d64c3de4d110', 'd850754e786fd50a', 'c13693eff6eb0796', '21441ce339017578']; context = [[4, 50], [71, 125], [7, 68], [86, 130], [0, 45], [46, 104], [16, 54], [4, 48], [21, 72], [65, 113], [20, 74], [1, 43], [103, 169], [38, 81], [31, 90], [134, 182]]; loss = 0.009317 low_pass_filter = 0.300
+Epoch 0: | | 24569/? [4:39:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 24570; scene = ['aa1de687b9ca8b3a', '5195d6199756de8b', 'abe6335b937ba7c6', '88dcb5cdf83eef5c', 'bf0c5cb654dd1e0b', '452bec637695fb61', '969e0fb4ea498d2a', 'a56927ac0e84b487', '43133ee21899e29b', '91a5dc05e579c726', '700ac3a4e337c355', '9e4bbe87809330fc', '44cb993e19c042ab', '01a8f17430811e07', '041e80ca1179ed69', '744157d1a5f49792']; context = [[10, 59], [60, 116], [131, 176], [6, 65], [54, 117], [5, 44], [3, 44], [16, 55], [52, 98], [10, 58], [1, 39], [16, 63], [31, 87], [11, 52], [2, 66], [0, 50]]; loss = 0.009346 low_pass_filter = 0.300
+Epoch 0: | | 24579/? [4:39:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 24580; scene = ['894989e32e698e7d', 'd75a2d501d06abb2', '477f44d4c838a6eb', 'da3a6901f12a6e59', 'cafb7b387787db6b', '4c768903212b223d', '0f2c72ccf47c2cca', '43c9cb3a1f008f2b', '0be127358da454de', 'ab1d835889d2fabe', '6ce00eee57d60700', '3eae572207e849fe', 'f6059815a2a1e912', '1a208617ed6c2348', '11dbf87883d315f7', '94034faf0ea1937a']; context = [[145, 204], [61, 109], [7, 49], [138, 205], [145, 203], [113, 160], [46, 91], [45, 84], [9, 53], [18, 60], [44, 110], [77, 144], [14, 74], [24, 76], [21, 80], [74, 133]]; loss = 0.010383 low_pass_filter = 0.300
+Epoch 0: | | 24589/? [4:39:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24590; scene = ['4dd2b3260d42e33d', 'bc31a831c7da94f6', '3b43e20efed5bd43', 'c97f7afd65090c33', '3953113473b362c9', '500c43d0f0558034', '8bd1355a3c06d06e', '5506f368be3afbdf', 'c9f0b268b1aa5e1a', 'a34af0c26cb1ee8c', 'd5e6d754c9163772', 'f158f2d611e892c2', '9ad8c7f6b7e9e5e6', 'dcd25be274f2d684', '1b6a7841c9586b0e', 'e97f1d7c3cabe2d9']; context = [[3, 51], [12, 75], [105, 160], [46, 85], [76, 115], [200, 248], [12, 59], [39, 91], [2, 43], [161, 218], [107, 166], [224, 271], [6, 45], [18, 84], [40, 102], [0, 62]]; loss = 0.010368 low_pass_filter = 0.300
+Epoch 0: | | 24599/? [4:39:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24600; scene = ['20672f0690611fe9', 'd73dae9e6ffe86dc', '43d0c1d214b20024', 'ec9405fe08e66141', '6dd73ce2d44e63de', '0e613a7c35450462', 'c9ae23235b5e966c', 'a8ecdf04c7651cf4', 'd21e4b33834b837e', 'df4320d8eb103685', '7ad2d82f17a2ce15', 'c3af86032dda0736', 'b3159a384b90871e', '8a3e27e005fffbab', 'e028291f59ca1af6', '63686d76e16857b7']; context = [[4, 62], [36, 75], [83, 147], [149, 214], [93, 139], [34, 88], [47, 114], [9, 70], [49, 90], [11, 66], [11, 75], [2, 66], [4, 65], [31, 97], [17, 58], [0, 57]]; loss = 0.011735 low_pass_filter = 0.300
+Epoch 0: | | 24609/? [4:39:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24610; scene = ['ce889e4a64d027c9', '07c6818a3a353dd8', '8a18a357d2f58181', '05caea054b89afc9', 'bc3e84661532f610', '76e3767736ea1fcb', 'dfce5eefef18f037', '6903e917c5bf1c37', '0a8e2e73b0a0ddeb', '44020f34ef2803bf', '893631aa1120f800', 'dc39348fdad696f3', '7a3c692a84dcff3b', '9508bbadb133599f', '7a91beed3bf01666', 'cec1e3207cec9019']; context = [[0, 38], [208, 267], [199, 255], [40, 105], [38, 78], [17, 71], [36, 102], [22, 75], [155, 193], [9, 50], [10, 58], [30, 79], [76, 119], [34, 99], [0, 58], [33, 88]]; loss = 0.009967 low_pass_filter = 0.300
+Epoch 0: | | 24619/? [4:39:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24620; scene = ['30e603963529873b', '2a8ad97be538b3e6', 'b40e61afa21e81e0', '6be0a940423eafdf', '742797055a67c950', 'd14984609a8f3625', '20467fe97121072c', 'fa6335a92d7faa48', 'aeb17dab82aa05ac', '251366dc002bf6c3', '1162abd36a71567b', '955559418313af15', '4dfd54f3098821dd', '8affa132fa270700', '651dd13b1dab9b01', '821c671b230a1ed7']; context = [[22, 61], [119, 176], [17, 80], [2, 49], [0, 38], [13, 68], [25, 63], [34, 98], [26, 67], [15, 71], [43, 109], [78, 137], [3, 50], [7, 61], [39, 89], [56, 116]]; loss = 0.008894 low_pass_filter = 0.300
+Epoch 0: | | 24629/? [4:40:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24630; scene = ['6551944a93afc0d0', '73d493ff94578c55', '2b0182cffdc9433b', '3dc0b3372b2e13dd', '1c87d4883f49da92', '91bab928c4639b09', '8d75d6f051b8f52e', '2a2e3da0444d2ecd', 'c6fa4e41f75c901c', '315fc3ba97edb0da', '6c3f490ba179a038', 'f1021f385c05e35e', '2f6c751ae35cf1de', '2a9a0d7936c79eac', '83ed9d8ed9845e71', '48a3ce4bd42f000d']; context = [[6, 47], [17, 59], [10, 55], [24, 85], [134, 176], [46, 113], [12, 71], [15, 54], [52, 99], [11, 66], [71, 132], [36, 103], [37, 99], [76, 143], [31, 87], [9, 65]]; loss = 0.009477 low_pass_filter = 0.300
+Epoch 0: | | 24639/? [4:40:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 24640; scene = ['55c41fd92228939b', 'fec87b0585b93bda', '75bb1b9c01a50796', 'a9ccf989917513be', '06ea674963ad018e', '873e47aefa88e8cc', '3bcd60aa10534c91', '5b6d2302ce6b01fe', '165bd1ee2bde617c', '0635a3619c622723', '65c0a05d71fc4a45', 'e1b54662af9ed7a8', 'ed53bf7b8e6dc9d1', '1eb802d8fe855ed6', 'c2083e2d07063bdc', '34524c4a56295200']; context = [[7, 58], [11, 68], [27, 65], [9, 67], [17, 72], [19, 66], [35, 97], [1, 50], [58, 101], [7, 68], [32, 94], [73, 138], [103, 152], [68, 127], [4, 42], [11, 49]]; loss = 0.010755 low_pass_filter = 0.300
+Epoch 0: | | 24649/? [4:40:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24650; scene = ['66c9632b703b75c5', '5597f674a468558e', 'd67b3a053d3a3f00', '60e831b626358b45', '3661f99bb52c6d13', 'f0a377d6e921025c', 'e749487d50aae270', '31d20f7587a2904c', 'ee4964a47af10585', 'cb7b53a4b05f6aba', '4184a1246de779e5', '42a9b6d389454481', 'cd4599abebf9d60d', '89ad475d12af1821', '4fcfd03c65294627', 'b3f292e781b77315']; context = [[161, 218], [199, 256], [0, 43], [30, 79], [51, 108], [6, 53], [62, 128], [220, 263], [52, 103], [50, 111], [19, 80], [21, 83], [13, 73], [19, 83], [52, 110], [70, 114]]; loss = 0.009516 low_pass_filter = 0.300
+Epoch 0: | | 24659/? [4:40:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 24660; scene = ['f1003c330038505a', '05811acb5942dc8a', '3b9e4746198f5f87', '4d220c5bb499f859', 'b0bcc4d7851c2772', 'ea9d27d15fb314d2', '674e6a33e09edcf3', '7f97fbd2a01c6820', '856bb1da2f10d78c', '00f0397d5f6a855e', '2ae25c1ef4ee35e7', '22883477ff44a8d8', 'ecc8438134a2638d', '39affc04f4fec373', '2c69823bf64bcfa1', '3f99cb9bcafde8fe']; context = [[39, 105], [39, 85], [0, 52], [115, 159], [108, 171], [4, 65], [172, 228], [7, 47], [12, 53], [90, 146], [34, 95], [10, 69], [4, 67], [2, 55], [46, 107], [143, 208]]; loss = 0.011224 low_pass_filter = 0.300
+Epoch 0: | | 24669/? [4:40:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 24670; scene = ['7290906ef512f678', '427e287379108891', '199efe0aa9f2980c', 'e707d9b275957bae', '4bcba502acc243f0', '7ddc7cab16aeca59', 'e5dac527233af340', 'e3fc0b8b215383cc', 'dfdd7ffe0296ce04', 'b73c5e0a08d76ce7', 'a97c604082cdee65', 'a1f6362dc4656707', '3c5277bcd9e4ae27', 'd1dfd1bdfbeccdbb', '070b23aeeaf1abd9', '3ff1284c0953670b']; context = [[52, 97], [26, 69], [6, 44], [84, 124], [19, 85], [3, 48], [12, 60], [56, 116], [11, 75], [93, 153], [53, 115], [12, 74], [155, 207], [27, 68], [75, 122], [22, 71]]; loss = 0.010186 low_pass_filter = 0.300
+Epoch 0: | | 24679/? [4:40:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 24680; scene = ['0eea77c7a7ea776b', '1ff6a0130c1bdbc9', 'ff1dca7b309e73cf', '63e436b601897a18', 'f7b4d47fa023d83c', '44b54a674418eae1', '76d53cf41f53eb37', 'a8708276de880b2c', '59290e5eafe2dacc', '2876ff2b0e9b35c8', 'c1c51fb2e8fa3f3d', 'e24c92984ba44023', 'bb5821113e1e7c98', '9c128aa40c275f9d', '748258417c8a8efe', '8593a4c8982e1d21']; context = [[44, 104], [32, 99], [4, 56], [110, 163], [15, 63], [1, 60], [1, 52], [0, 48], [59, 115], [0, 45], [115, 158], [33, 71], [59, 112], [166, 226], [61, 100], [1, 48]]; loss = 0.010026 low_pass_filter = 0.300
+Epoch 0: | | 24689/? [4:40:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 24690; scene = ['66c583ba78db2686', 'b48dc4df6fb02f4b', 'cc1a4a14236ea89a', 'a75d63654365b43c', '8b892aa99ab635fa', 'cc4d298f4c09ac47', '14b72a12818f15cb', '392eab2c84c17409', 'd6ac297a4d15b7b0', '1a3774eec69dbf4c', 'afd1f0b4fba0c645', 'ebefa67b99601839', '5118b43a3f332d06', 'a35fcfd5ca571296', 'e2b10586530728fd', 'c50585b25ebfe2ba']; context = [[7, 65], [2, 65], [26, 91], [145, 193], [97, 156], [0, 67], [1, 65], [49, 88], [40, 82], [23, 72], [68, 134], [55, 122], [18, 60], [24, 67], [53, 106], [50, 98]]; loss = 0.012204 low_pass_filter = 0.300
+Epoch 0: | | 24699/? [4:40:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 24700; scene = ['8efec6de00a7d511', '7fbc6cf6fe65b7ff', '11d1dd8049ca694b', '06fccc7d660b7c54', 'caf78660bbc1dbf2', '2244f7dd2c91da2c', 'ca543cd72517425f', 'd9afbf73118bb8a1', '8272b1253d3ef5bc', '9777aa81d5ddf05d', '7c4d7ed47ae232ed', '6aa2acda128083e0', '961a5b7bfe5ef431', 'b4802203e4196f7c', 'cf7393cafef6d8fd', '714ecafb5f39913b']; context = [[0, 58], [142, 199], [77, 120], [3, 57], [2, 41], [83, 136], [3, 41], [31, 85], [30, 87], [19, 74], [23, 81], [17, 55], [15, 76], [97, 140], [13, 53], [44, 104]]; loss = 0.010640 low_pass_filter = 0.300
+Epoch 0: | | 24709/? [4:40:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 24710; scene = ['de2ace7196f6d140', 'e38105742c98d888', '0ff362ad28ba21d6', 'd697cfcbfa727a4f', 'ff788909dd15fffc', 'dac88abfc46437c8', 'ff8f49bdb17e5050', '616d045c5963ecb2', '556c98e247270631', '543b9b3f8be1f1d1', 'd267797bd8ac3330', '9ce909d08d97390a', 'cc966a9b2af2232f', '8181f645b467863e', '97d12f6d996bf73c', 'ea560425df1b8298']; context = [[8, 54], [206, 272], [17, 77], [46, 105], [68, 131], [128, 178], [10, 66], [22, 89], [72, 110], [117, 162], [14, 53], [26, 65], [92, 153], [31, 85], [147, 208], [10, 67]]; loss = 0.012223 low_pass_filter = 0.300
+Epoch 0: | | 24719/? [4:41:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 24720; scene = ['e5537547dd598187', 'c0e387d3a6285a32', 'dad145ce35ad0e54', 'cb9ae86a49f95f34', 'a5175255a7a24781', 'a328bb24ae1259b7', '9e739ec1a8c7aece', '937835bf008447ae', 'fbcfae0d07f3840d', 'ffb0ecd62200e136', '48f502df70db50e1', 'e7129afa3f20fb38', '6f349cede66a597e', '21268abbbc575fc9', 'fd92fb298b944a09', '7e1f1f018b3493cf']; context = [[3, 61], [106, 146], [36, 74], [71, 118], [12, 58], [1, 59], [6, 73], [14, 64], [118, 185], [40, 86], [112, 165], [126, 188], [2, 52], [1, 46], [11, 75], [2, 44]]; loss = 0.010451 low_pass_filter = 0.300
+Epoch 0: | | 24729/? [4:41:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 24730; scene = ['1a476a75bd073c80', '56ba21867ca58ed3', '3aa1b31b218bbda3', '52e55a9250f55a45', '91fb76c74c6fe7d9', 'ba8af60a9d4bbeea', 'fe3eb89cdb313955', '4fff9fbe73952018', 'b4a621ff4fc39bb6', '1c3284259050a0a9', '6fb580ad7ea0e94d', '369fdb50d48334e8', '9467cca40f3ac088', '61c3762e0090d702', '53fe8fcecf2767a3', '852820a2465b9c4e']; context = [[148, 209], [121, 185], [24, 63], [109, 147], [0, 40], [12, 64], [12, 64], [36, 75], [17, 58], [149, 201], [21, 77], [3, 47], [184, 228], [14, 55], [32, 85], [3, 63]]; loss = 0.008589 low_pass_filter = 0.300
+Epoch 0: | | 24739/? [4:41:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 24740; scene = ['26bbe9550ed68e33', '4f626955e18d7e9c', '3914c72798afbf55', '39357cec4dfde0c4', '8ae07a41da8a7327', '9228d5f56cc394bb', 'fe9c9efa162243af', '517e1bd673ffe78f', '9695907dbf989efe', 'fa4ed1deda5e2f36', '1030575ce50471e5', '2d9c1a7e8547c7f3', '3333768ade9bae8f', '8b6fc7cfa0e1de13', '2c2893932017a26b', 'de0b5f163df22bac']; context = [[5, 47], [45, 96], [67, 118], [11, 70], [9, 47], [37, 84], [146, 191], [46, 110], [99, 155], [31, 78], [23, 88], [66, 118], [0, 59], [149, 189], [75, 119], [2, 69]]; loss = 0.008986 low_pass_filter = 0.300
+Epoch 0: | | 24749/? [4:41:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 24750; scene = ['891771b6d13a027a', '45575e929ef4bf66', '6e4c43cb7109a228', '225f6975684ceb35', '7fe52fb374fc6aca', '81eeb2cbf825a1c1', '0fdf9e6982817f7a', '50e663034e6e387a', '11e8a47afc86d430', '7fc375752c2540e3', '524aaf3b874aae61', 'a0883fd11d656ac5', '072eca78621634b1', '2df83aef6a375147', '9fde98805690a4e5', 'a94e03cd69b319e7']; context = [[46, 100], [28, 71], [4, 68], [26, 79], [0, 66], [49, 102], [3, 67], [7, 70], [52, 105], [22, 66], [167, 210], [206, 254], [7, 52], [9, 54], [198, 265], [7, 56]]; loss = 0.012868 low_pass_filter = 0.300
+Epoch 0: | | 24759/? [4:41:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 24760; scene = ['e9066f9a8c2aa1d1', '96c1754d9527cef7', '4be78a34f5d97b64', 'f8179df095e9575f', '99f6fbe55cbcfdc1', 'b03df4c4382500a8', 'c34baa7a466d6f17', '191d93d539d59e6a', '8094d6a3dfd3333f', 'ee05b13cdf928ba3', 'b382a321245b2789', '66e4f3268dafe823', '1a9297aa64507e8b', '2e4cb954129dbba8', '9cb320f193eedcc2', '33eca79b369a3ed1']; context = [[14, 60], [4, 63], [3, 44], [25, 92], [52, 94], [99, 145], [56, 99], [95, 156], [54, 119], [9, 74], [80, 119], [79, 129], [0, 41], [42, 94], [43, 97], [112, 177]]; loss = 0.009517 low_pass_filter = 0.300
+Epoch 0: | | 24769/? [4:41:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 24770; scene = ['41e59871b42221a1', 'e5f3f15563142757', 'a47b488c572774a3', '35f8340a1b25d459', 'ecf309ffadd46a42', '9b5af8dcc2af29a9', 'a67c4edb735cc1b8', '203ebd4a7ecd7351', '8feb9f00718a9ec1', '23342285a08b05f9', '1a63fc7a0888336b', '4b330b71b8aea5f0', '74d59500412b3a6d', '1bc4f80907befd27', '056a4a7e82bd4a08', '7972dc0925069bf7']; context = [[83, 131], [6, 61], [2, 69], [121, 173], [67, 120], [15, 59], [3, 47], [23, 71], [38, 90], [24, 70], [174, 212], [124, 169], [1, 68], [176, 230], [71, 127], [9, 49]]; loss = 0.011430 low_pass_filter = 0.300
+Epoch 0: | | 24779/? [4:41:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 24780; scene = ['b210bb589468fb4d', '8de0c4ae0c5bb988', 'dc5f38f005c3ebd6', '5e89c7650c97cdf1', '59ee32c2dccc3dba', 'e2ce81d901cdd6c7', '31bad60f5b6bbd14', 'c87ed13477475e4a', '3fcac0f29c94b5e6', '1dddf8460c0c49cb', '5851772147fe79f3', '524fe76ae272d2ef', '6b076ff0fa76674a', '7f6642220b54f702', 'c0ab759d761f2868', 'f5e2894f19b60dc8']; context = [[100, 160], [6, 72], [34, 99], [0, 41], [9, 61], [12, 75], [23, 70], [0, 40], [56, 123], [83, 121], [16, 79], [1, 39], [193, 257], [43, 102], [21, 66], [153, 200]]; loss = 0.009480 low_pass_filter = 0.300
+Epoch 0: | | 24789/? [4:41:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 24790; scene = ['76cface391a7faed', '87f46a01a4296d3d', 'b8a5be3f37c332e1', '7f1a7a988560b2ac', '48f0cf3536b29c37', '195e52b808cc5f7b', '01d70424679d81b4', '3fe81e368cf1011e', 'b8062aaa7a76eff2', '46a6f7a7a496e0c0', '7264da2e5617c4da', '75299e01a10d0b2d', 'dedbccf1aa181b02', '49362275159e338b', 'c377c3e9c9d3a658', '80c56b76ba0f1594']; context = [[4, 52], [84, 144], [12, 60], [15, 72], [25, 87], [6, 54], [13, 52], [96, 136], [8, 51], [4, 71], [60, 100], [79, 134], [94, 144], [43, 107], [63, 115], [5, 44]]; loss = 0.008682 low_pass_filter = 0.300
+Epoch 0: | | 24799/? [4:42:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 24800; scene = ['d93ceeba573fb491', '4602deeb27e9b472', '7113a6242fa0ecb9', '3cb9e154ab207d2d', '22511038a50ecabb', '9f000e8e31dffe41', '13f9eb4e79fd4def', 'e0f46f5b13a7737b', '07488c7551c1a967', '705cf9f15387a607', '4c6da61393cd5e31', 'e9370c6c28b03fcc', 'b32553fa725be102', '84915ac53fbf7e09', '1387814bb50733f1', 'cd742360e61d786c']; context = [[12, 77], [4, 65], [5, 54], [4, 57], [28, 79], [40, 96], [21, 74], [176, 242], [34, 90], [33, 99], [15, 72], [41, 89], [7, 48], [22, 71], [153, 199], [18, 74]]; loss = 0.012487 low_pass_filter = 0.300
+Epoch 0: | | 24809/? [4:42:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.0train step 24810; scene = ['36be66d194d57ec8', '0a4cbe699be68e5c', '83124d7f14f5e63f', '0a2a624ea539e195', 'b7b4f2f42c79e9ce', '646cc7d6374ec7ae', '0d3ae93e51547225', '85b281f0e77a632f', '208a59eecd4b555c', 'dda71026b1c95d17', 'b9e6692e064010b4', '4628e2b37db4e285', 'd752c6a596930489', 'e218f9241aec777f', '69f96bf5ae7b98ec', '3c046c40d6f851ff']; context = [[0, 59], [27, 67], [40, 96], [84, 145], [159, 213], [176, 238], [57, 104], [14, 71], [12, 67], [169, 209], [2, 40], [12, 50], [47, 90], [7, 53], [52, 110], [39, 83]]; loss = 0.013183 low_pass_filter = 0.300
+Epoch 0: | | 24819/? [4:42:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 24820; scene = ['7eff316fa46c86dc', 'db00c9d61968623b', 'b9baabda7e1103c9', 'ece5216326fa2f72', '9579af646646f7a9', 'b72d9fdc671b2e3f', '1fd04b3b726fc68a', '5c9c5decaa12cfd1', 'e4d69e87d73f574c', 'd637df47561724e7', 'b27550ce7b33d218', '012019df6ff17e30', '5016750fece91181', '5862391ea26da3ea', 'ceeb544dc7e54313', 'd2b1b93dee94507d']; context = [[9, 61], [13, 74], [5, 66], [3, 69], [42, 108], [7, 49], [40, 84], [2, 51], [59, 124], [80, 139], [16, 78], [10, 53], [1, 61], [4, 49], [182, 229], [24, 91]]; loss = 0.013598 low_pass_filter = 0.300
+Epoch 0: | | 24829/? [4:42:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 24830; scene = ['335bf6cc102962d1', '1b28d4488bbd73a5', '3394846340d63c73', '4c067452588bb4bd', '2e2cce8b80bc8018', '453edcb688f085fb', 'd60a0aa6d5711b80', 'ea746408d4ea4e51', '6d45a2090f8a7bee', '62c4b13b4d673035', '1badfac3b77b18f6', 'b4598653ccfd0f54', '8ffdc128b3bba1fe', 'b0c960c65f62d755', '50a66db80eba783d', 'c7891efd731cecb6']; context = [[11, 68], [19, 62], [88, 128], [36, 84], [3, 50], [86, 152], [11, 59], [68, 112], [0, 57], [13, 78], [3, 53], [65, 103], [84, 131], [49, 108], [26, 76], [2, 46]]; loss = 0.007572 low_pass_filter = 0.300
+Epoch 0: | | 24839/? [4:42:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 24840; scene = ['ef0b4dcd840bda76', 'd93ceeba573fb491', '46b40da68830b18b', '6e58885ab481a69e', '47859ae6b9a42597', 'b75e800d18bafa7a', 'bf22c42ad27b81d1', 'c8041821e77b3d89', '0ca38de167ab1697', '38cbdb5443d28734', '5bad86b53e6dc18b', 'b6bc2793bbe942c7', 'd1d41b208f1c933a', '57bdd8129114cd12', 'f3cc9c3a68aece89', 'b751aa692a5336ac']; context = [[27, 70], [26, 69], [92, 136], [37, 77], [73, 133], [77, 143], [42, 80], [0, 54], [79, 139], [121, 161], [40, 88], [40, 89], [72, 110], [43, 90], [38, 89], [65, 124]]; loss = 0.010467 low_pass_filter = 0.300
+Epoch 0: | | 24849/? [4:42:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24850; scene = ['7273382ad589d7ac', '549d70078346dcee', 'b382af5f342061fa', '3cac75e60965dc6e', '77c788d08b2ce6bf', '9f92d7e79d4a35bb', 'd0e7e477ff1174d4', '7b2c118f021e6902', '1c1171aa48cd3d30', '6817374ad089ff46', '03036efc7c7ae3b5', '3effc4406f9ddaeb', 'd7b9f1dac0249ebf', 'cdfe3555d603c114', 'a3bc042b68a67193', '5a99fe9366d19a76']; context = [[3, 63], [10, 71], [5, 72], [22, 84], [20, 68], [12, 65], [23, 71], [0, 41], [100, 145], [136, 174], [177, 231], [6, 45], [10, 69], [0, 41], [4, 72], [7, 73]]; loss = 0.011913 low_pass_filter = 0.300
+Epoch 0: | | 24859/? [4:42:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 24860; scene = ['fca51d820d274436', '8683a8b09cea1991', 'c807da7dac2e7927', '280c0c2dd789cd25', '87fd521518dc4cb6', '3b979b9dac2097a2', '8cf28ca6dc386dd5', '657ed7177ce06af7', 'e228336cfbfcb179', 'c260842ca527acec', '0d0d5f86ce65d2a0', 'cc599b021804a5b3', '874678686325796e', '282c34d21fc592cc', '95a3ab26d547d0e2', 'ff606885fba519dc']; context = [[2, 65], [78, 130], [51, 97], [231, 275], [56, 119], [56, 109], [11, 71], [19, 80], [115, 176], [14, 70], [57, 109], [22, 71], [86, 131], [58, 110], [19, 82], [134, 191]]; loss = 0.009767 low_pass_filter = 0.300
+Epoch 0: | | 24869/? [4:42:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 24870; scene = ['50b2b1847f0c3ec5', 'f7b38b4801c35c54', 'f8448a1d0e098580', 'd862527a043561c9', 'bc5f4b5e37f71aec', 'a1a0bcce8001f776', 'c063a92c7a44b6a0', '861fd42e408817bc', 'b64f6fc16d34be37', 'd1910994e205375f', 'a3a29f751ab5536c', 'd7771ae79c3f26a6', '35bfad0493df3456', '9789c9bca500f60d', '1f2c37aec9ad5c43', '1f67d024b6212444']; context = [[63, 109], [60, 124], [37, 79], [24, 91], [21, 61], [54, 120], [42, 110], [47, 89], [97, 153], [94, 150], [58, 102], [4, 45], [2, 43], [60, 118], [80, 124], [130, 198]]; loss = 0.010465 low_pass_filter = 0.300
+Epoch 0: | | 24879/? [4:42:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24880; scene = ['05985e1284e4f7c2', '802aa8d1e6f98319', 'a1169316c41a6e2b', '0aaaf5508f2ff485', '79fbc7aee92af1ae', '0d1f13c67d0758eb', '9f9f38862998b28f', '1072d53e5353bac5', '5661874e84a498a5', '5eca48d9febf5e70', 'eff98653337775a8', '6dd5bd6445ada623', '5be8385a860cd167', 'a2ae856e2faf3097', 'a3214062cd1950df', '0339818f120ea7ab']; context = [[12, 60], [9, 54], [25, 67], [100, 147], [16, 55], [22, 60], [90, 141], [6, 65], [8, 73], [2, 47], [19, 65], [64, 123], [9, 48], [8, 57], [70, 124], [15, 60]]; loss = 0.009651 low_pass_filter = 0.300
+Epoch 0: | | 24889/? [4:43:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24890; scene = ['0d29df52e52443e8', '7c6cff8643a2c250', 'b59fba30c46e869b', 'd3a667f950f7c572', '3788c6c82dcb0db2', 'accdafb6a3264bd1', '9722a4675ef08f7a', '5b42aadc59b3f4f3', 'ab69710e23ffa519', 'b5a9d569512adc78', 'aa6af775f4c69693', 'e1f74a2bc6c577f9', '42a8e3c55088a4dc', '5ee57f2a8400b256', 'e8d604150ae0360d', '25be53ace2fc19a9']; context = [[46, 91], [1, 57], [38, 101], [3, 57], [56, 100], [207, 271], [0, 47], [84, 134], [63, 116], [0, 68], [9, 70], [9, 48], [117, 157], [141, 201], [4, 42], [5, 52]]; loss = 0.010121 low_pass_filter = 0.300
+Epoch 0: | | 24899/? [4:43:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24900; scene = ['cb9d0d7099e2f296', '334eb53845f3615f', '7dbd9631683c5ae8', 'a1331ad1467f9dbb', 'cf579459b0fb66df', 'bb518b3a290d5e83', 'c1184830a0171bea', '7426a108ff0bd8f0', 'cac37e977aa56490', 'eeeef9bad8464592', 'd28dd035c45d7b06', 'cd1b750af1701dd8', 'b495905da7f31147', 'c7df75f0a22b9980', '58dd91617d378543', '57c4350a67896dd1']; context = [[0, 66], [6, 59], [57, 115], [95, 146], [19, 63], [40, 102], [61, 113], [163, 226], [29, 69], [4, 65], [26, 82], [16, 73], [21, 77], [5, 47], [23, 66], [44, 108]]; loss = 0.012212 low_pass_filter = 0.300
+Epoch 0: | | 24909/? [4:43:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 24910; scene = ['f9eb323d5f901122', 'fe5c3e12d699d77f', '36ecd2c090551e5b', '8f17b5780b30ab5a', 'e4e10e6b388f3a91', 'adb159b1165df8ff', 'fc454ba4fe081bcf', 'a4b502cb83a02b68', '4ac72b0e9795380c', 'afc302429757e7af', '082df11768924c7e', 'ff2bd6b594638b0e', 'afe7352745af8df5', 'a3e389b0c33b31cb', 'cdbb5456c4a6c130', '553c15ccd8a7c665']; context = [[10, 61], [68, 127], [61, 129], [5, 54], [3, 65], [5, 58], [14, 57], [21, 71], [44, 88], [137, 176], [31, 87], [24, 70], [1, 56], [30, 78], [29, 92], [21, 66]]; loss = 0.012268 low_pass_filter = 0.300
+Epoch 0: | | 24919/? [4:43:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 24920; scene = ['e2b6581f1a1a2fcb', '1155d2e97e08de55', 'a43b3a139f3046f6', '1a4dd16b9b911cf0', '4ef60b7c94a88741', 'fefa4193d759dfd6', '3151f48fb640d69e', '3c9cc4d395328b64', '42d7020bbab0052a', '46a78ac601ddbc10', '2255dcc7a505e0de', 'e33fe4265015eab3', 'b251bed166d04e8c', '8a87ccffef19b65a', 'ff1686153c503b0c', 'cb0866c6302d4c93']; context = [[29, 81], [58, 100], [69, 116], [13, 51], [9, 60], [17, 62], [1, 67], [112, 158], [165, 218], [43, 88], [31, 86], [35, 76], [14, 82], [169, 223], [1, 39], [90, 150]]; loss = 0.009813 low_pass_filter = 0.300
+Epoch 0: | | 24929/? [4:43:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 24930; scene = ['5c666a58554a0ff9', '18b989e89150a242', 'f704d5b89d6b19c2', 'edb43317316d7f17', 'c87c40da1e4a9ae6', '5f1c50e26de61455', 'cbcf05baba7c9624', '3155b05b96e2111e', 'c580d7b52ffa2fb7', 'e26f0a1b140b74ca', '755ac8f9f91414a5', 'bba891ea827e88a2', '86d6705131e38b99', '9e8db62a9b3cbd5e', 'bc784a299b459e92', '3230bf3dc93cf6d1']; context = [[0, 51], [5, 64], [11, 62], [8, 57], [39, 99], [13, 76], [14, 60], [1, 49], [86, 142], [0, 42], [33, 98], [42, 85], [77, 137], [112, 152], [0, 56], [188, 238]]; loss = 0.010642 low_pass_filter = 0.300
+Epoch 0: | | 24939/? [4:43:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 24940; scene = ['8d9d6d9fa213b895', '105283c6a2b6ad00', '647839cbca8db12f', '9472e0c8a62e30d1', '7345aa2a210fae8c', '288a09225150f472', '767a19530957b790', 'e1d7b52a30d60b2a', '12025fef56ee3d5b', '545f0bf834b0b19f', 'b55b27c9d8f7ad94', 'fa5dc3f82887cfad', 'c09d7898ef37ba32', '7b6c709c0eb728b1', 'f46d9b174fbfd403', '0a4e072b35ec9aa6']; context = [[50, 95], [7, 57], [7, 60], [43, 87], [8, 59], [113, 166], [47, 92], [10, 62], [0, 43], [129, 188], [16, 76], [153, 206], [3, 41], [63, 109], [16, 54], [55, 105]]; loss = 0.008591 low_pass_filter = 0.300
+Epoch 0: | | 24949/? [4:43:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24950; scene = ['d2296281f2cdccf2', '348b1e8ab15f2c59', '7e9ebe40970c2a30', '20834d8e45bbdbb5', 'b0a6f8dc91bf958d', 'bb80f7a48ed9c0a3', '08573a54ffbed332', '14b4a87eca54c72a', 'fe09fbcc7217f075', '1115254066cc1476', 'a53c93ca22ccad14', '2c61c4c2a252057e', 'a2611d3a2917309c', 'f1789e98aa1ed5c8', 'efc61426e83c812c', 'a65ef54b0f6cec2f']; context = [[53, 94], [63, 114], [1, 55], [33, 92], [12, 73], [108, 150], [42, 82], [152, 202], [0, 38], [63, 115], [231, 275], [22, 67], [214, 261], [22, 61], [51, 100], [1, 69]]; loss = 0.009660 low_pass_filter = 0.300
+Epoch 0: | | 24959/? [4:43:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 24960; scene = ['fbe6e2473b2cd36b', 'dfb361bb71a80673', '325f0d952af7be66', '5979f3317fc24cc5', 'a7627ba979e7203a', '8f4411404d35c9aa', 'd307d393104be667', '58ec77029a3dc124', 'ce2b5f59e7d1a168', 'bfcc388041b60965', '642d3fb21f60cc53', '1668a84868a4854b', '102b393a88361a71', '677050e1ae2da818', '1d6d289574b75e09', '36e33959215c9d0e']; context = [[25, 74], [129, 167], [177, 225], [11, 69], [42, 100], [4, 61], [13, 69], [116, 183], [35, 96], [77, 130], [37, 76], [16, 75], [86, 124], [0, 43], [81, 135], [2, 56]]; loss = 0.010661 low_pass_filter = 0.300
+Epoch 0: | | 24969/? [4:43:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 24970; scene = ['152edf1f120feee4', 'b6a8ddf4124bde1b', '2518a6d186597a29', 'c14e6b2537cec7c6', 'ceeb648cbc5cb0f4', '6ee5f113a2185f1f', 'e70461340183a253', '2bd76828652b5837', 'c07125035b8cb8cd', 'b32bc68eca8088e3', '63408a45ee202911', 'e88bd8b7c02d5f37', 'ff127b11311493c5', '5e3ecd33b55910ea', '2dd148a95f491483', '5c83a203ed06a6ab']; context = [[126, 189], [119, 161], [15, 78], [2, 59], [8, 56], [83, 150], [31, 94], [138, 197], [18, 75], [7, 50], [65, 125], [2, 62], [18, 76], [11, 75], [52, 104], [0, 38]]; loss = 0.011272 low_pass_filter = 0.300
+Epoch 0: | | 24979/? [4:44:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24980; scene = ['28ea6096b062a3c4', '0d4c07701fbcd987', '75ba1cf5e8ed04f0', '8b89b00938bca1d3', 'fe83cdddf24659c6', '648c1c7710df04dc', 'c22a3f3186fcc45c', '26c433edd7f8c92d', 'e3d545fddc61ad3f', '815c5d2c059f38c6', '276ef99fe1e6cd12', '92392d6c80ff0b65', 'b9088d10a87467ed', '7c3cb1f442befb1b', '1fa1c6787f0c73e6', '3d3cf44d557987ec']; context = [[12, 77], [114, 168], [119, 176], [0, 39], [23, 81], [35, 85], [7, 73], [4, 66], [174, 221], [21, 72], [13, 64], [32, 71], [107, 148], [111, 173], [11, 67], [62, 129]]; loss = 0.009648 low_pass_filter = 0.300
+Epoch 0: | | 24989/? [4:44:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24990; scene = ['ce4f7bf72c8a56df', '8dd05db385680029', 'a11a4c848afc6292', '0f269fbd2e54d5c0', '305930c2ac2205b3', '50cb9194a0e25204', '3111579f1c9d5f28', '679057d0e2febf0a', '8d6d9857a57baee3', 'aaacce7a4a7c9725', '3d0c6eacfc39aafa', '3bd99b35d4566e6d', 'a4776e96ce74edc0', 'ef84137ab9a199c7', '76f8c934d299d0aa', 'bc20a805c32503b4']; context = [[106, 174], [16, 74], [11, 73], [8, 49], [67, 122], [20, 67], [174, 217], [7, 50], [56, 112], [194, 258], [135, 196], [3, 42], [11, 72], [6, 62], [46, 109], [15, 77]]; loss = 0.010588 low_pass_filter = 0.300
+Epoch 0: | | 24999/? [4:44:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25000; scene = ['953a7c1467296fe5', '5aaeb25dad8f677e', '25aba9aad59f0eba', 'cb3b1652c6eab780', '713dd7ab28264c16', '66c2a901f10a14dc', '905891b1bc846ccd', '8421d1b832751b06', 'd1594196fa748b2b', 'e83742a3e43bd126', '7d675692ce253ae5', '729fa587a8a49343', '62d9c30b7009ade6', 'd063d31fc9a7af2b', '20ad4007f8dc89fb', 'cf888eee79e98e59']; context = [[55, 109], [3, 65], [216, 258], [24, 80], [91, 137], [36, 93], [47, 85], [3, 53], [126, 184], [27, 78], [9, 64], [53, 104], [27, 76], [21, 81], [7, 50], [11, 66]]; loss = 0.011787 low_pass_filter = 0.300
+Epoch 0: | | 25000/? [4:44:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0validation step 25000; scene = ['dfb6932b1a712d0d']; context = [[16, 64]]
+Epoch 0: | | 25009/? [4:44:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25010; scene = ['9d92037a929272e8', 'd4d64593d82fa175', '64b035cd851d2f46', '00b40cafaa3a389a', '79e14401f6633eda', '24887cb60eced656', '0978f12b4df5bae2', '8020e0b42282ce7a', '1db6c7094f88da45', '589b0dc1fea3fe62', '4ccc05527dea95a9', '855d03992bcf5480', '9ba7ffd700b4159b', '39e1f92f2731b7e0', 'ddcd077c7e0a67cf', 'ea9d5cef5a33d0ae']; context = [[1, 41], [107, 158], [68, 120], [2, 65], [86, 132], [3, 66], [0, 43], [87, 128], [22, 66], [0, 48], [196, 257], [2, 45], [36, 88], [144, 188], [199, 240], [96, 144]]; loss = 0.009779 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 25019/? [4:44:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25020; scene = ['ee57aa9dae00cb90', '8860d3251307030c', 'a26363624d7d2ebd', 'd86fbb8ba2bcee27', 'c4a00d6ff8529867', '95e2ddd4cdde4c5f', '5bece91c5864e528', '750888ee3338e002', 'd5272681859ac87d', 'dd709a76c4ade039', '44832125f07d776b', '92c6b068eef863c1', '5f50dee192160381', 'd312a48eec9207af', 'af929bef74892ce6', '3cfb633b947bdfe3']; context = [[40, 104], [4, 67], [6, 46], [60, 111], [32, 70], [34, 74], [29, 91], [29, 94], [16, 76], [6, 73], [20, 76], [49, 117], [8, 66], [53, 98], [41, 89], [47, 88]]; loss = 0.013019 low_pass_filter = 0.300
+Epoch 0: | | 25029/? [4:44:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 25030; scene = ['ced9eaec2af72a37', '709fc2c17b0ea274', '9581c4e12f850b42', '89a0b178ae2983b4', '29c4c646eb53fbd4', '11f1ad731ee02dfa', 'af225d8e8adf6ca0', 'e2535bf2bb4ca423', 'a27a32e39e82bbb4', '0575b49c3a451110', '00e7f68556c9ec9a', '7ee21d878ae03272', 'c55064d2cc530328', '8d0bb77de4773476', '88c9fa0bce5f1601', '5cae0c8af1963d88']; context = [[41, 83], [35, 83], [57, 108], [0, 42], [99, 161], [79, 141], [202, 246], [77, 117], [215, 278], [87, 137], [3, 53], [30, 69], [57, 116], [38, 78], [110, 159], [206, 245]]; loss = 0.009116 low_pass_filter = 0.300
+Epoch 0: | | 25039/? [4:44:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25040; scene = ['73b4f3120576ae0d', '699bc7dbd0bcdaec', '0c14e3a75d58b35f', '0d89dfd83ed81e71', '071eb67ff13bf80d', 'ad2bddef36995b31', 'f0bda6f91712fd5a', '4665abcd48bb710a', '24f7243394904def', '16c47f696bf6293c', 'df74597c3957bd8c', '646a74f178afb3a6', '1c5c50af69deab6f', '1c71ba8b64ef1410', 'd06cb007800ec3bc', 'e61efa08cd504fff']; context = [[52, 116], [5, 49], [6, 47], [107, 153], [38, 97], [25, 93], [228, 274], [6, 52], [13, 52], [215, 268], [53, 112], [53, 109], [37, 94], [29, 70], [102, 146], [17, 64]]; loss = 0.008898 low_pass_filter = 0.300
+Epoch 0: | | 25049/? [4:44:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 25050; scene = ['41c4920e80cd6202', '8e52fac3c6d4e1a2', 'b071ce2b817199b0', '0b714d93b8d1d0f4', '105e6a039d9e486b', '73e75f62ea5a620a', '020be62e8d7528cf', '34b49975160a39c4', '6d02873a8e2a1124', '724f9f3b50e2a778', '2d8cb7be1e2f7383', 'b6ba0fe84eda0476', 'd26a81d0bd4443b6', '37a6668e37b81707', '58626c3c9ecc281d', '98158a10ba43e6be']; context = [[125, 166], [150, 208], [23, 91], [35, 90], [14, 60], [2, 69], [24, 76], [12, 80], [90, 136], [66, 105], [32, 84], [27, 77], [21, 66], [20, 60], [100, 142], [8, 71]]; loss = 0.011468 low_pass_filter = 0.300
+Epoch 0: | | 25059/? [4:44:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 25060; scene = ['f6a14acb31badb11', '08c6d6ab90e6b86b', '15f89ff3e4a8ddf3', '79632305e38f4e61', '5105fedd23e13f92', '931437c7f8178635', '148d73d25691beab', '507b9f1675988055', 'd1a6d6a046f37dbe', 'd67ff3b1493cf038', 'bda51613b8944e3a', 'f5ea225f5c7fc039', 'e313fc42cfe43a81', 'c53eb8ed399c3598', '0b386825ee4147cd', 'fc9eaf68cf867fff']; context = [[135, 178], [11, 66], [85, 152], [87, 134], [35, 79], [34, 80], [1, 39], [49, 96], [2, 64], [75, 122], [9, 51], [8, 71], [92, 158], [86, 126], [0, 49], [15, 58]]; loss = 0.010153 low_pass_filter = 0.300
+Epoch 0: | | 25069/? [4:45:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 25070; scene = ['c59b6f75d304391b', '6b8eed37ef5bbb26', '05942c4e02b982f6', '6eae271fb9939971', '477b299b36c39b44', 'e3f00fedd66a5a18', '2f04d4aea94eada2', 'e3e8d578bcdf23e4', '2075d6b4ba887069', '9411f16aee4d909f', '5cff1e4a72fd38dd', '09238d4624f16c55', 'fdf733d3297e24f3', 'eab2801e7ce5e17a', '2a6b47d35a74d85b', '3567e42cd469fe52']; context = [[9, 56], [61, 103], [45, 89], [10, 49], [30, 94], [14, 71], [78, 144], [1, 69], [16, 69], [183, 228], [127, 176], [26, 66], [0, 64], [0, 54], [20, 71], [57, 122]]; loss = 0.009722 low_pass_filter = 0.300
+Epoch 0: | | 25079/? [4:45:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 25080; scene = ['dd5e91b4024f06e2', 'f9a81a07c56f48e0', '74657f6618a55f19', '334bc3bd131484d5', 'bab67c28f4d7c51d', 'e28995b255868344', '5f9a86b7e44253fe', '1d66813a86fe0c17', 'a66645498ef9d1cb', '5792c9e2e44b905f', '0e6672c62a9100de', 'a50b756fe602d465', '4bb2c640159a3265', '31e3f6fe7dedfb1b', 'dd6c60a1cdf29b78', 'b818d1ecf495afe1']; context = [[38, 90], [93, 138], [45, 107], [36, 93], [11, 76], [52, 95], [3, 47], [10, 60], [3, 60], [48, 96], [9, 71], [90, 142], [16, 60], [87, 146], [5, 70], [22, 77]]; loss = 0.010507 low_pass_filter = 0.300
+Epoch 0: | | 25089/? [4:45:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 25090; scene = ['4c35cb67a64f2d48', '4fb5a592fc910ab4', '629d482dda9a53f2', 'efa2398f2080df3a', 'bf2680d4d480d914', '388cf64d2f0ceec5', '48c1000f6da27a64', 'fdf8b5f9f500a705', '2e667fb64ab04390', '9fddc14f5349e77a', '121a82c0523487a0', '6e405d9d8f674ab6', '28776a82c3302757', '1d2bf04b397af5cd', '23aeca1b7b3e453a', 'eb52fcf26d327e46']; context = [[8, 74], [12, 72], [20, 84], [32, 91], [2, 70], [1, 58], [33, 95], [101, 159], [7, 64], [27, 79], [11, 67], [62, 100], [4, 67], [17, 76], [50, 111], [208, 258]]; loss = 0.009580 low_pass_filter = 0.300
+Epoch 0: | | 25099/? [4:45:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 25100; scene = ['1cb9d805b4705d94', 'cd709c2b3b9e8632', '464d57ea5f1229b1', '5418ed938b5a82e9', '399bc252b234af29', 'f1ef33d26a5b1bf2', '912297ab9a98abc6', '9e13cbf563b9747d', '1c55c064cf34ad0c', '83fde523c371f3e7', '67e3c2f5fa57a159', 'c8d0caf183758d98', 'eb630841cdb3a850', '60b6914bafa3c3f2', '98fcfd8ffa22fc8b', 'f431cff00c684f2c']; context = [[94, 132], [119, 161], [170, 226], [26, 85], [0, 65], [1, 59], [66, 106], [117, 168], [107, 156], [103, 142], [28, 68], [14, 52], [17, 84], [2, 45], [126, 165], [36, 89]]; loss = 0.010026 low_pass_filter = 0.300
+Epoch 0: | | 25109/? [4:45:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25110; scene = ['3cef9da1b69766f3', '060cd8515c39af86', '8b561563ddd202f1', 'e8c2bbf9edd2bfba', '174ef1693f1e77e5', '5981332b2e570137', 'd3ba8711a0704c3a', '66329d4d2cea4a78', '2d44cb40ad9f33b1', 'cf0bef80ad621a1a', '569814748e33dc27', '0eccd2c6e5c3747f', 'f0ff3f5228398f46', 'c26ef624913b531a', '0822254bb6527e87', '7cda83b61b52fb13']; context = [[21, 71], [203, 271], [2, 50], [6, 56], [55, 111], [9, 68], [2, 54], [12, 50], [13, 56], [108, 152], [37, 89], [37, 81], [102, 158], [27, 93], [31, 74], [2, 58]]; loss = 0.011029 low_pass_filter = 0.300
+Epoch 0: | | 25119/? [4:45:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25120; scene = ['fae6b0485c4b48ac', 'aac681d019b30c56', '52c9ffc4ef2a36f4', '71c29ce63894ae3b', 'f77be837dba5f992', 'cbf43526fd464b32', '783ad88c8f9c4c7f', '2584b6752147b0be', '75ac71c654be685e', 'bb59055db453ff30', 'c18c0da0b86ded93', '0bdc7f573090746b', '2f82f0dbdd752d39', 'd3d44712e9d5a778', '3a93a5955496307c', 'e6ac76e77abf7ff8']; context = [[2, 40], [8, 50], [36, 88], [21, 86], [86, 146], [58, 114], [28, 96], [14, 65], [219, 259], [17, 81], [72, 139], [9, 69], [180, 228], [70, 122], [49, 105], [133, 183]]; loss = 0.009784 low_pass_filter = 0.300
+Epoch 0: | | 25129/? [4:45:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 25130; scene = ['197ff5c7287f0d9b', '3f0671b3aab75af7', 'b81984c3db6d299c', '8a44e9b2b9fa4231', 'b1d60da6d903d72b', '1dcb240325fa36e7', '17d52a5b96e9c278', '2e904050b495396f', '6439064a08d02629', 'f5b6c988d6461e03', '2773a6e9f10c1695', 'cfb684150c0d3084', 'c3ea88797ba49d4a', '7cec1efa34eebb2b', '695a69f73b976dff', 'e7428d7ad0472a80']; context = [[166, 205], [103, 147], [74, 120], [1, 39], [0, 43], [95, 159], [22, 88], [82, 127], [8, 58], [30, 91], [0, 60], [94, 145], [7, 73], [24, 70], [28, 76], [25, 84]]; loss = 0.010704 low_pass_filter = 0.300
+Epoch 0: | | 25139/? [4:45:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25140; scene = ['94ef76e68046fcc5', '72c76753251034c4', '368109519bf4afd3', 'd001a09d4047c3d9', 'ec3fcc76dc7935b4', 'ff8cf27635ec8f79', '5a149fbb9799b5f1', 'a50412be59011ef1', 'af6b1c8a353f5f01', '95604de455068830', '4aabd0dd33849c4d', 'cfc6396b2c66cf16', 'efde93e3e23df6e1', '82d5cf26ac1ecbd3', '9b6ca3cfe5886688', 'c138e672617341cb']; context = [[42, 90], [4, 46], [2, 50], [19, 70], [0, 46], [14, 71], [0, 56], [0, 44], [113, 158], [75, 114], [2, 41], [130, 181], [134, 189], [82, 135], [148, 189], [7, 45]]; loss = 0.010567 low_pass_filter = 0.300
+Epoch 0: | | 25149/? [4:45:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25150; scene = ['a1919a3be0610041', '4fb5a592fc910ab4', '388cf64d2f0ceec5', '5ea49c4330735de6', '4c35cb67a64f2d48', '0378b4978168d643', 'af09f44bba9e84f7', 'a9dac033ee8e97c9', '5c631011734e2067', 'b9cea03dac60ed8b', 'b62e21b875ee5c9a', '3ed72542d217a98e', '433dca64f1849830', '86881d5b0782d118', 'c0c758b51b097148', '8d842be57d4be356']; context = [[161, 206], [30, 68], [25, 66], [96, 162], [59, 99], [0, 41], [33, 79], [9, 63], [4, 53], [76, 127], [121, 161], [21, 70], [62, 106], [2, 50], [1, 48], [2, 45]]; loss = 0.009005 low_pass_filter = 0.300
+Epoch 0: | | 25159/? [4:46:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25160; scene = ['aa24838f16305995', '7aee80abe39c7d03', '63eb524e44eeafbb', 'dfddc9d209e8f281', '9929dcc56e6ade90', 'db84f84b1d775bb8', '1807c250a83d90b3', '7c118e4cc07c075a', 'a5b68d36c4639021', 'e15484e3735812dd', 'b88508fa7b6a870d', 'c2d8c9cdc34bfb81', '2a9d20d8ed924d2b', '953913f710eb02c7', '52ba4ac9ee6a478b', 'f40474e9d43e7fc3']; context = [[24, 72], [158, 197], [6, 65], [87, 141], [2, 41], [0, 41], [22, 90], [27, 91], [192, 239], [129, 192], [1, 41], [122, 184], [65, 111], [4, 63], [14, 63], [57, 109]]; loss = 0.010627 low_pass_filter = 0.300
+Epoch 0: | | 25169/? [4:46:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25170; scene = ['7885bd17267ecef4', 'bdd1f0f476f00873', 'f0054b426df26751', 'b3c0fb7f78f89ffd', 'f8e96138f7a049ab', 'e41b102e225468ed', '2f073899e03ce548', 'a4b22166c6fabdce', 'f19f4b64db82994e', 'd0070efeb831b3c6', '8184898784ab8366', '32e02be2574101b2', 'be06cb0dddaf9da6', '24b67dbb503a87b7', '9059042bbf51985f', '07e43ec814c3ae7f']; context = [[0, 38], [27, 87], [82, 136], [90, 135], [7, 69], [5, 57], [107, 175], [94, 157], [162, 216], [63, 128], [0, 42], [101, 146], [124, 185], [88, 143], [22, 74], [71, 135]]; loss = 0.009960 low_pass_filter = 0.300
+Epoch 0: | | 25179/? [4:46:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 25180; scene = ['e617d57877cde526', '62b236553c63fece', '60ff26df8d284a27', 'cf78027fd4790810', 'fa42d332a3b845b4', '56ea303d0208eee2', '7fc3c9ec1c938fe7', '53989f07ffed6e2b', '1f2f3463069ec6c6', 'efce7264206c4d36', 'e367fd33b59dbf40', '0af84dfcb9f53f97', '3aab66fa01a69daa', '528b96fa2edce81a', '68dd157e5cdb64bf', '4ed711808ac6f7db']; context = [[33, 82], [41, 85], [53, 121], [136, 197], [0, 45], [22, 86], [0, 65], [8, 57], [39, 78], [62, 105], [22, 68], [39, 88], [35, 86], [36, 94], [33, 91], [49, 112]]; loss = 0.008272 low_pass_filter = 0.300
+Epoch 0: | | 25189/? [4:46:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25190; scene = ['ab11edbcde7de99d', '0e6672c62a9100de', '96f6c82c9c693df4', '3c136b7d09306029', '4787f5b4b5402ca8', '1220a49e5babaacd', 'e9a1cdca9abf71b2', 'd79a09f5a0487ad2', 'da54e4571a2f4637', 'ead979aa76eaa492', '41c2363d43d3d712', '9bafc381dbe8264e', '32ae85ad2e5db58d', '54354a0322534606', '0902983e76d12d43', '69916f6abedac5b2']; context = [[31, 72], [59, 127], [209, 254], [21, 74], [19, 70], [19, 66], [54, 118], [165, 233], [74, 137], [9, 63], [167, 215], [9, 60], [8, 59], [76, 137], [2, 53], [141, 179]]; loss = 0.011529 low_pass_filter = 0.300
+Epoch 0: | | 25199/? [4:46:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 25200; scene = ['ba5e5fb5abf3ed66', 'e7a85a4315af4cc1', 'e0686e6326f8c08f', '54e3c15407bfd54c', 'ed70d0293aae43d1', 'f76feb4610bb70a5', '957a51e4ffa1a8fb', 'ab42a131df988c32', '51799f9a8eacb945', '726cb0d916e76398', '3f08d16d1419ce64', '70031b2dc35b676a', '154abb0ceaa93fa5', 'bebaad423dbc6559', '20bdf8e95b77420d', 'b1057c3128c831cd']; context = [[63, 129], [12, 67], [180, 247], [0, 47], [15, 69], [22, 79], [106, 144], [56, 102], [31, 71], [0, 47], [0, 63], [1, 64], [35, 92], [164, 203], [40, 105], [17, 57]]; loss = 0.010640 low_pass_filter = 0.300
+Epoch 0: | | 25209/? [4:46:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 25210; scene = ['4466e384294450be', '67b48a8ef26faa69', '05f68f205088615a', 'e82f58c638cf3f5e', '1672c494acdf9a51', '52ff08cf915f9890', '177ec27d1a094371', '23c52859f21f94ec', '65d52755ddf504a6', 'a9aa19912b72f767', '42b4c926e4c0b0c3', 'd8af738fe0e075cd', 'c364ab8ae4c07ec2', 'd80659d665f7b903', 'd3c13f24d1748e4e', 'a588073ae3085066']; context = [[62, 104], [9, 68], [26, 66], [56, 104], [34, 76], [40, 78], [7, 64], [63, 101], [16, 66], [70, 116], [21, 73], [78, 125], [18, 68], [111, 174], [67, 119], [188, 254]]; loss = 0.010797 low_pass_filter = 0.300
+Epoch 0: | | 25219/? [4:46:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25220; scene = ['1ddd88c201e11018', '04c82b5a0f572349', 'c0d90742fa7c4fd6', 'fee2f7c24c6d5e2f', 'c7d7d42e4b3136cc', '58aec0707d094569', 'a025eda8d656783b', 'db25ce184054217a', 'db062134f9dec5f1', 'c37054cf8ffe745a', '6713a81ed431d91d', 'c8c116c28ca108b0', '5d244ada6c250442', '7db4ed902d003a63', 'a9070de00e86feea', 'da127d5d82256afd']; context = [[211, 273], [55, 118], [34, 98], [96, 157], [4, 47], [45, 109], [93, 142], [61, 129], [1, 64], [48, 91], [1, 69], [193, 248], [1, 57], [114, 164], [3, 45], [39, 79]]; loss = 0.011504 low_pass_filter = 0.300
+Epoch 0: | | 25229/? [4:46:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 25230; scene = ['d677f3e6092f2fb5', '71ffdab54dd4d5a6', '30ed18ab2cc0e103', '7002050eaf600751', '3b55d9ff7f824fb3', '1b97512a507c1af7', 'be46f8455477ba86', 'ba46035ebb408dd6', '4ba1c378fd584bdd', '677f2e47f3371b23', '6d68e73f69d73d07', '09ab565950cc3b2e', '19c1be98c8cc8c2f', '2359aae1dcdcad57', 'a33ab61ae99bf117', '67fea88caebb1c14']; context = [[0, 62], [10, 59], [29, 96], [37, 86], [117, 161], [12, 74], [154, 219], [56, 108], [1, 52], [0, 64], [26, 90], [4, 46], [3, 63], [8, 74], [2, 43], [17, 58]]; loss = 0.007811 low_pass_filter = 0.300
+Epoch 0: | | 25239/? [4:46:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 25240; scene = ['4da0a7cb9fb12d2f', '990b5bccc9ec5219', 'd3c2119c388d1fc4', 'c15b01bb70c6a984', 'd8f5b070231de1e7', '52aa39175c690eeb', '4e8658949aa96662', '11d2d3c8b02515a6', '5b8556064467bbc2', 'af62f7a58c1c979b', 'f841958b4f3ea9b6', '56fa6943fe8aca9b', 'cf1c8a8fb8347d9f', '0c55d99325327032', '1be5dffa99a9743a', '0fa3084a8ad67f81']; context = [[45, 112], [66, 122], [11, 69], [25, 74], [39, 92], [1, 48], [2, 40], [91, 139], [35, 81], [144, 192], [41, 100], [17, 61], [65, 127], [6, 56], [5, 57], [50, 115]]; loss = 0.010993 low_pass_filter = 0.300
+Epoch 0: | | 25249/? [4:47:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 25250; scene = ['71753b7d416adcaa', '4ce6c5b15de6f43c', '6cf6f96bfa3da0c5', '45d83e284f33082f', '7a159ffb882659db', '87c675284f595cdc', '9cbc68c41da0fbc7', '03f4ab4ac23f39e0', 'e281213868014707', 'f2feba8931477baa', '37c9f8c6a4114474', 'c7525636cfe06a5f', '247d3873d5f3d9f0', 'd2b1e757b2e26c24', 'c2ea58f98a5f2338', 'eb382c47fa4f8f39']; context = [[8, 55], [48, 91], [33, 91], [2, 40], [23, 64], [13, 71], [39, 98], [0, 58], [0, 55], [17, 67], [9, 54], [27, 84], [2, 51], [65, 120], [29, 80], [71, 112]]; loss = 0.008465 low_pass_filter = 0.300
+Epoch 0: | | 25259/? [4:47:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 25260; scene = ['0d089a7777ef9331', '91245106e17ab7d8', '4bd505299fae2fbe', '4b66bc17968e1d91', '54f45e1925ba7ec4', '43c0071c8ff680a6', '54155dc6235143fa', '1c262359b446ffb8', '438bfa064bca8f07', '2d0bb20ef2507c33', '3c56d27758531556', '67f02d86628f20e6', 'b4b8ae61f71c6318', '939847209cf6cfa9', 'd92a6ababd47f047', '43739f82f554c901']; context = [[6, 68], [13, 81], [9, 59], [30, 76], [75, 137], [181, 236], [0, 48], [52, 116], [9, 49], [183, 242], [85, 148], [39, 90], [1, 44], [1, 57], [180, 222], [103, 143]]; loss = 0.009376 low_pass_filter = 0.300
+Epoch 0: | | 25269/? [4:47:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25270; scene = ['47a8853f48974faf', '398fc172733ae106', '8ca97af66552f055', 'c12b4b8fce580e89', '87fa399fdd73af24', '8c9eb97a7653d4f0', 'b020cec718b2a496', 'b791fb38e3fd8d03', '06fbc8d45e60e49b', '1844d01379136fde', 'ad498413c27daaf3', '374040fd2830320b', '7e84f5b757150df9', 'c79efdec1cdd45cc', '13e7b6934e6579c5', '7759fb0b4c2719d5']; context = [[9, 63], [12, 65], [106, 148], [8, 68], [0, 63], [20, 81], [3, 64], [135, 193], [5, 44], [12, 68], [31, 98], [18, 67], [101, 160], [3, 68], [158, 220], [12, 51]]; loss = 0.010375 low_pass_filter = 0.300
+Epoch 0: | | 25279/? [4:47:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.40, train/active_min_children_step=4.0train step 25280; scene = ['1e45a9e642f91197', '92bd10e9323fe423', '6a61530613e80e63', '851eb1bd00509e03', '0858737cc9d1c3e0', '52b9e011c488d98b', '9112a327c48c8a3b', '8eee7c848d368b0d', 'a7ced7f8944eb3ac', '20b6a336f9268d76', '25b0f2dc07ebe855', '2a569041a6d85d9c', '3da05d3eb5207cde', '49952f737be91dd2', 'f97a862ad842d7b4', '220a7e74010c2476']; context = [[28, 94], [0, 53], [1, 40], [54, 102], [28, 72], [5, 73], [15, 53], [23, 76], [51, 102], [129, 188], [124, 177], [160, 223], [115, 159], [105, 145], [27, 71], [7, 74]]; loss = 0.008694 low_pass_filter = 0.300
+Epoch 0: | | 25289/? [4:47:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25290; scene = ['7a6162d260dd845c', 'c72a6c3ac24e0c6b', '6e3ccf2193f8275d', 'd53e18e895fea170', '84740fb6b7e7148f', '6ab869711e65a527', '28039ea78b84ff46', '8438f949cbd62c23', '861a970a54cc1efb', '41905c60a21ef567', 'dcda03cf03c7c287', '996074b95549ba5e', 'c403c63210eaef23', '04f090fd282ec1a7', '581515abcd09a7f5', '85d5c64669a83b40']; context = [[22, 89], [2, 57], [29, 79], [114, 157], [56, 98], [5, 57], [45, 92], [11, 54], [12, 74], [4, 55], [186, 229], [11, 64], [3, 46], [37, 78], [8, 51], [14, 82]]; loss = 0.009490 low_pass_filter = 0.300
+Epoch 0: | | 25299/? [4:47:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25300; scene = ['41b75f50a603fe9b', '5e1da375ded17ca5', '445112299044c265', '58445fdf7117ea45', '206ab8a8f71bc4fc', '789e3dd7a059f5d3', 'f7f0e9c9bb11a8f8', 'f2d5fa6533aa8ff8', '42f9555cc5b7f279', '095b327d0991f54e', 'a28a3e656cfcfeb7', '7dd60bec52f5cac0', '5234deee5bf92f77', '28dfdf09d7e7f141', '6b03d5d098527b69', '669e90f57cbf67dc']; context = [[24, 75], [22, 64], [22, 90], [2, 63], [10, 59], [51, 91], [0, 64], [45, 105], [23, 76], [148, 195], [43, 111], [86, 134], [205, 258], [64, 127], [55, 107], [9, 71]]; loss = 0.010393 low_pass_filter = 0.300
+Epoch 0: | | 25309/? [4:47:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 25310; scene = ['c693f4050f6b5544', '6e4df62f37b315ef', 'f74f0f3c1a554cd3', 'a393872941dbf17c', 'c0b62e7d58ab78b8', '2ec36b44cc18b5ed', 'a9070de00e86feea', '656546e561aec370', 'c37054cf8ffe745a', 'da127d5d82256afd', '6713a81ed431d91d', '5d244ada6c250442', 'd34fb0e92018e2a2', '58aec0707d094569', 'db062134f9dec5f1', '7db4ed902d003a63']; context = [[167, 232], [48, 103], [1, 60], [93, 147], [25, 88], [2, 61], [26, 74], [19, 76], [158, 218], [0, 55], [92, 135], [0, 57], [9, 48], [60, 112], [20, 63], [38, 105]]; loss = 0.012938 low_pass_filter = 0.300
+Epoch 0: | | 25319/? [4:47:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 25320; scene = ['966efe3a05c222e3', '50727c2fc099f9b4', '2c1ea4ebc9475e24', '8d53612ee7f88bc1', '75cbf5f3c4e202b5', '4b5e8159d8989d91', 'ad459619c3a9a247', 'ea721fd4e3e0be8b', 'b1e4b35cbe3f6094', 'c43f6cb71bd73cdc', 'c6d16d8171fd7cd9', 'c7aa7a7671b8b200', 'd1a233764dfafcf4', '7f4353922e24e719', 'c25c954d46c315f2', '574417986f69166c']; context = [[30, 68], [29, 96], [37, 96], [2, 66], [16, 69], [18, 79], [35, 98], [2, 45], [77, 117], [185, 241], [65, 118], [29, 88], [2, 62], [33, 96], [41, 108], [215, 257]]; loss = 0.009242 low_pass_filter = 0.300
+Epoch 0: | | 25329/? [4:47:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25330; scene = ['b0297962c0089ed6', 'fcee35b9d73232c0', 'e3badc148ab39dab', '47c3b50322e55489', 'f25b83126f93a7bc', 'b4fefac33cb2a6fc', '494c8291355b23f6', 'e5bfaf251bfc0fdd', '5308fcbbd3d32d10', 'c52b2004b86d0129', 'f0f162a8d6619fae', 'b43b9870fd778691', 'f1b09696ccbe7ed0', 'ab1ba9f15e793ef9', 'a68e5234178a994f', '67b791a20f8f50e6']; context = [[84, 131], [72, 122], [149, 191], [3, 46], [165, 220], [121, 176], [34, 84], [3, 68], [7, 62], [66, 124], [69, 128], [5, 71], [205, 271], [109, 163], [5, 59], [22, 78]]; loss = 0.011892 low_pass_filter = 0.300
+Epoch 0: | | 25339/? [4:48:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 25340; scene = ['5706ec8a29ac1540', 'eccc846dc587a4fe', '0b7f965ccd404bef', '7249540ddec693f0', 'cdf3b28814b65c1f', '3a3ba34619ff6f56', 'c1bec88535f521d5', 'e98a769801fc68ae', '6eb03980a476da14', '79d73aecb3589720', '2532d213114b0ed8', '34aa700b2c35219b', 'd772183ca03ffcb4', '0f3c41decac6e826', '83f927b94f04feca', '304796375251c562']; context = [[0, 49], [1, 56], [78, 122], [26, 81], [103, 169], [2, 65], [1, 69], [13, 52], [9, 53], [15, 63], [123, 173], [7, 60], [56, 122], [38, 79], [74, 112], [19, 58]]; loss = 0.009961 low_pass_filter = 0.300
+Epoch 0: | | 25349/? [4:48:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 25350; scene = ['507dda4c1b722c23', '3e1feff79d244282', '5f0d7d76e4b7fcc9', 'bc7cd2216dc16470', 'c25ab122990f262b', '604fce37011c3594', '11dc92ba5c0e1ac3', 'd2443f80e34394ff', '625ef197fa165c4a', '96bab6e15eb77d4e', 'bb0c96ae5026135d', '9f947caefbff7bf1', 'ff70172dd4ad43ec', '9af18a1c4c45a179', '72edfad4ab7268f2', 'a62bd02a1223b0e5']; context = [[70, 119], [55, 121], [3, 70], [13, 62], [42, 95], [4, 62], [68, 110], [0, 45], [91, 149], [34, 100], [28, 78], [1, 61], [46, 93], [91, 150], [158, 207], [80, 123]]; loss = 0.009982 low_pass_filter = 0.300
+Epoch 0: | | 25359/? [4:48:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 25360; scene = ['3397c19634a51370', '2b4606d25fb7a6d4', '526bd972a8927785', '8244df16c1d41828', 'e100eb211d35682f', 'b16275ed32b6dac7', '7bb2c23612182a9d', '5b6de14baf07db34', 'b620104d7854f90c', '6c57529d23472eaa', '1f363f252ab03f7f', '2b5cc7b68737821f', 'ccfe340d043d8e01', '083d8700afad2b76', 'afc8e955b8c9517a', 'a1d655a4e5b6c1dd']; context = [[4, 63], [93, 142], [8, 62], [22, 69], [8, 55], [32, 80], [141, 202], [102, 155], [25, 69], [225, 269], [3, 43], [4, 67], [48, 110], [14, 72], [57, 110], [17, 67]]; loss = 0.009192 low_pass_filter = 0.300
+Epoch 0: | | 25369/? [4:48:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 25370; scene = ['efdf5de615e94ae0', '77c003fdb097bd57', '2e62cfde60be91b2', 'a68a1811510d9752', '4a4cf92146dbf416', '4a799d9c15a25e4f', '0af825db9b9ad51b', 'bb355d47dc6297ab', '1e577c2db0f77f6a', '3f96f1eace6d5d75', 'c90a1b6872dec9f3', '38603d74dae54d1c', 'ce418ca65922b5bc', '509f8d933a7dbc98', '0805f792d0b10be9', '316afc5161bb6b7b']; context = [[37, 92], [39, 92], [15, 53], [0, 49], [16, 66], [5, 58], [2, 64], [13, 73], [4, 54], [7, 46], [26, 66], [100, 144], [15, 55], [28, 84], [50, 99], [169, 225]]; loss = 0.010652 low_pass_filter = 0.300
+Epoch 0: | | 25379/? [4:48:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 25380; scene = ['a1fc11e482332be9', 'f477d21e9a8df662', '63defb4f4156976c', 'b6769d0c4be27610', '25981436106d621d', 'a7f60ce61f15c284', 'e9c5aa0b62318e18', 'c211eafa20d6c2fe', '78f2bb288dfb07e5', 'dad96ef78afa5f7b', '225a3dbc1dc4f7d4', '0ca1a94df7987762', '28880239a1b0a38a', 'd6fe2b5e5c936c9f', '577bae9426456dc5', '191836b21424305c']; context = [[15, 74], [30, 98], [119, 180], [2, 44], [62, 101], [11, 57], [14, 75], [26, 84], [23, 91], [83, 140], [69, 131], [84, 137], [20, 67], [25, 66], [157, 221], [2, 61]]; loss = 0.010824 low_pass_filter = 0.300
+Epoch 0: | | 25389/? [4:48:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25390; scene = ['6b95cb189005c838', '03e1195eb5892975', 'a578a7eefb3185e2', '9bacab93f8408fa9', 'a1e4e09033c1fe21', 'c686bf8e528d9860', 'fa1ddac84aafd9b7', 'd76656b17ab785d9', '57760b17957e51bc', 'dd451be539f8e766', 'bbc6cab96f65f530', 'd2b7eb7053317a54', '3398946074525d57', '955c78878088bddb', '30aa490b63d46724', '8c61e3046e40bbc4']; context = [[68, 107], [2, 47], [5, 43], [190, 251], [5, 72], [4, 43], [34, 76], [36, 98], [9, 53], [71, 135], [6, 59], [17, 65], [34, 79], [146, 186], [5, 51], [22, 79]]; loss = 0.009488 low_pass_filter = 0.300
+Epoch 0: | | 25399/? [4:48:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25400; scene = ['ca3ac3916c953d96', '9a6346447cfb89fe', '2c724de77e54918c', 'e7071c9b8fa316b5', 'ffa4dc6e57c3eca9', '972cc2a151ed4d35', 'e91be8e4dc0677ec', 'd2f26d374cc9fc43', '2212340b10c882aa', '727926e871e31d5d', '7d2f9ee3c5ce33ed', '787087197658242b', '02314047509da14e', '4683f860709f3393', 'c2e52b2ebe3e7c58', '95d2c6fca1508481']; context = [[203, 271], [24, 87], [138, 200], [159, 199], [52, 109], [6, 49], [86, 124], [6, 52], [29, 81], [4, 71], [1, 41], [30, 93], [1, 41], [3, 45], [1, 46], [76, 125]]; loss = 0.010747 low_pass_filter = 0.300
+Epoch 0: | | 25409/? [4:48:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 25410; scene = ['f8b0d1e280daed5d', '42e11bb83f385317', 'f52ea4df10c6472b', 'f13dcb3a9ac8a857', '67353f28c5452f17', 'c7be7b75f1571013', 'c9c985820d5ccef9', '1915fe94c9a3ffe3', '948978fda6851a90', '0765f921b5446d8e', '1e31b7611058ffc1', 'd0742930092e8f5e', 'b42ea7355de20abd', '0ec74c80b0542c7d', 'ee16ad65a39902d1', 'bf02e2f3f0047779']; context = [[25, 78], [111, 154], [1, 42], [9, 55], [32, 82], [15, 75], [128, 175], [60, 109], [103, 146], [12, 73], [3, 64], [173, 233], [132, 171], [35, 101], [79, 135], [21, 76]]; loss = 0.009999 low_pass_filter = 0.300
+Epoch 0: | | 25419/? [4:49:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25420; scene = ['fd5fe10030ea799f', 'a127a55b1800e045', '7bdea6db35948489', '85d656780a8a6044', 'f0f9efd1fcd65311', 'c7fdc5b33f01a570', '85bdfdb7185f9443', '8b51e270df0c9284', 'd94eba604f88e9c3', 'd7adc331c74563b7', '75b018db77600c92', '993f5f375f822648', '0728256e1cc24f2c', 'e261bbfcfeab2ce6', '3e228d07ae6f8c54', 'cc64c0f4b6918914']; context = [[2, 56], [134, 192], [49, 116], [1, 45], [1, 53], [58, 109], [30, 76], [1, 68], [5, 49], [88, 141], [0, 67], [13, 74], [46, 88], [1, 63], [0, 38], [68, 117]]; loss = 0.011433 low_pass_filter = 0.300
+Epoch 0: | | 25429/? [4:49:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25430; scene = ['48c2b63b452555af', 'aecfc6c8ebc6c15e', '80b044471fd710b5', 'ccb0540f2d49483c', '68303c5bb3b62706', '6de43fea1f9cef11', 'b2c65f94460ad653', '8f243590d88e28db', '34bd9723166c9978', '8839e65c6f6bb394', '801586ab8ddd3bf8', '47039a17b7256772', '3f0b9fd1e32d9ce3', '1ae35c468d598029', '07fdb102ee3677f5', 'ed87baa6df1198b9']; context = [[25, 94], [16, 80], [23, 68], [127, 169], [71, 125], [94, 162], [20, 67], [29, 91], [28, 93], [40, 100], [41, 105], [18, 79], [82, 144], [75, 117], [18, 64], [27, 69]]; loss = 0.009162 low_pass_filter = 0.300
+Epoch 0: | | 25439/? [4:49:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 25440; scene = ['8404eae21432063c', '7b18ad4131a3c318', '5a7cc6854438d617', 'c4ae95c34e204d53', '7ad5e90fc8434219', 'c1a04c25ccb94aee', '6897a323d67edc41', 'a27aaba0c4a2b558', '3a5fdf1030d55af7', '91d39686ae23230e', '0eb3fd35dea6dea0', '4cc30df9ffe2c183', '501c7fced48eba59', 'a39df60612b60375', '9db124880f8d78ac', '9c9b04a677060b5f']; context = [[13, 52], [59, 126], [153, 216], [0, 40], [128, 188], [109, 178], [13, 78], [8, 73], [9, 65], [23, 78], [20, 61], [17, 58], [23, 67], [37, 82], [117, 174], [67, 135]]; loss = 0.009112 low_pass_filter = 0.300
+Epoch 0: | | 25449/? [4:49:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 25450; scene = ['fe55cd1565d9cb79', '046d75590f2a2769', 'afb74b4aa8e93a22', 'b733def1f2d6f475', '3e228d07ae6f8c54', '882182e89dd66eed', '3c2c6247ba2354fc', '993f5f375f822648', 'cc64c0f4b6918914', '8b51e270df0c9284', '486b548dfacda9fa', 'd7adc331c74563b7', '75b018db77600c92', '0728256e1cc24f2c', 'd94eba604f88e9c3', '215eb0b87decb587']; context = [[31, 70], [74, 138], [0, 38], [97, 136], [0, 38], [14, 57], [4, 68], [25, 81], [22, 81], [23, 61], [4, 68], [53, 93], [18, 66], [16, 64], [1, 46], [2, 67]]; loss = 0.008713 low_pass_filter = 0.300
+Epoch 0: | | 25459/? [4:49:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 25460; scene = ['af2bf37f747ea039', 'd417f1cac4a30c14', 'e4965e111cb66be0', 'd6211fae193ad931', '815fc179de449468', 'd00a6449d44d9822', '2946089a31aa5810', 'f2a78c5c272a3009', 'ef29879c5829b95a', 'effbcd5b21e5b087', '75b546b0482c602d', '2721d4e119602b3d', '7b2f71462829b280', 'd33a9339f83571d1', '417c9606a7d23e1e', 'eb2b6994b8429b1c']; context = [[38, 78], [74, 131], [3, 70], [135, 193], [14, 57], [9, 48], [80, 123], [8, 77], [6, 57], [12, 51], [52, 101], [21, 81], [234, 272], [16, 79], [4, 71], [4, 60]]; loss = 0.011573 low_pass_filter = 0.300
+Epoch 0: | | 25469/? [4:49:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 25470; scene = ['373ba08bcfc84006', 'ba7bebabc6b4f278', 'b123704b82a98e73', '0f26970967ddf02c', '3c523af7b2936cfb', '2be6123f9c853872', 'cbe0c9fc3dbd7684', 'ea5ec2bf7f186ed5', 'fe41521588b2ba41', '6c0bdb5e8e11f0de', 'aa2b3732c2717859', '086d3516db9b7109', '80a45916e1f5ae01', '8c7383b85f475330', 'b9c46af1909b96a1', 'c2e9139a0b8292bf']; context = [[86, 133], [2, 51], [73, 122], [11, 55], [41, 94], [29, 81], [51, 95], [6, 61], [47, 99], [88, 133], [9, 69], [0, 41], [10, 72], [110, 164], [4, 56], [11, 72]]; loss = 0.010709 low_pass_filter = 0.300
+Epoch 0: | | 25479/? [4:49:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25480; scene = ['8b2c69b736f247cd', '073b1b758d5b58a5', 'b16d01b150c3363e', '7ec761021eb0028b', '65c4fbae3daf2d8e', '16a7d92bd74000a1', 'ac4bb258d49d0f98', 'e772de3085cc5ddd', 'ed620e1c813d47b6', 'fcb56cad6e48c882', '17b59c28edfde65a', '794bdbdbe73ddbc1', '24c48d5c3c1ad376', '5292e7c51d6b4aa5', '38a2086e32a5ffca', '33257013360b25e6']; context = [[18, 72], [7, 47], [15, 73], [15, 56], [58, 127], [48, 98], [1, 53], [14, 65], [4, 46], [16, 75], [21, 61], [0, 67], [199, 238], [19, 79], [94, 160], [90, 135]]; loss = 0.010377 low_pass_filter = 0.300
+Epoch 0: | | 25489/? [4:49:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 25490; scene = ['d23c79a0286f926a', 'd5b78c47a83ea85e', '7f9480301fa3e38b', 'a45c32806ab77c9e', '4348fa85c0757b62', '73b5643967208518', '8e5d094c4fcd3c3a', 'ddc432d005784196', '0c624be452931981', '3b8e927ed2e703cd', '80fd51689742e978', '23929cb345635451', '0727389bfa97166f', '75371003a36624c8', '94c931fd2c558de5', '42158adb6f145f4f']; context = [[91, 136], [57, 95], [61, 103], [3, 46], [61, 116], [1, 49], [63, 129], [23, 88], [2, 50], [0, 61], [112, 174], [5, 48], [5, 66], [56, 123], [82, 122], [4, 63]]; loss = 0.012999 low_pass_filter = 0.300
+Epoch 0: | | 25499/? [4:49:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25500; scene = ['52e630efc8cd0959', '5eef7d76653d3c85', '6b599a4d8c7d7275', 'c15e9f65e844881b', 'bb39c536bac5c2b8', '63b4b7f92377b7d1', '4fed2921695a07a0', '1aebe80dd6346b46', '08ff3470b32680d7', 'ff4baf1fa516e521', 'fee419913751e69c', '6212b6c618036592', '525228f8d23ba3c5', '4b2f7bb82caea25a', '6e66c457e475a239', '7db6add2937e3476']; context = [[43, 95], [83, 133], [182, 232], [5, 54], [8, 55], [9, 71], [0, 55], [106, 171], [2, 46], [140, 196], [141, 204], [90, 146], [121, 168], [0, 60], [0, 55], [6, 67]]; loss = 0.009932 low_pass_filter = 0.300
+Epoch 0: | | 25509/? [4:50:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 25510; scene = ['60af97423a0eaf57', 'd29cd0ffcbc3dfaf', '6031294804b8979d', '04ad9f32c83f28b3', '56d1fbbe9848c802', '42b03fbeeaf5dea9', 'c6683515f5c374fc', 'ada0aa81b633c33c', 'd51cf8e527ea5cad', 'a6463fb1c9e10282', '5c81d3506aa61647', '264626db21145229', 'b913fc397ffe5b87', '3541705e5a095fad', '74ed41fdbece3110', 'b95a2ce1d191fe04']; context = [[33, 97], [25, 86], [130, 197], [55, 101], [20, 86], [0, 69], [8, 46], [1, 61], [128, 179], [0, 39], [31, 94], [110, 166], [25, 77], [16, 59], [77, 145], [33, 74]]; loss = 0.010491 low_pass_filter = 0.300
+Epoch 0: | | 25519/? [4:50:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 25520; scene = ['cb168186fdab3271', '9fde0d7ec4b06f6c', '9c269fce78f0dd27', 'bcec4cead9a8da81', '1baf2b5812122e3e', '27b941a8289558a3', 'fcbd35c9fec04992', '18a6c0778918ffbf', 'd101ed7d57d47b7e', '9974cb0399a06dc0', '3222c6f65e953650', '16333d9914d5937b', '7f58de9f7313a9eb', 'aa9de0129abc32aa', '99024f17cee81656', 'c79e9ac3b6ae802a']; context = [[217, 277], [177, 224], [3, 66], [53, 96], [25, 67], [0, 40], [10, 52], [1, 52], [8, 58], [0, 56], [97, 137], [46, 92], [27, 80], [42, 82], [13, 51], [32, 70]]; loss = 0.009286 low_pass_filter = 0.300
+Epoch 0: | | 25529/? [4:50:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 25530; scene = ['458e67c3c4dfbf24', 'e1da66dcfb584564', '6803b3d46e5a2c7f', '5a2447dbfc1bdfac', 'db5e3b998bc94027', 'd005a2c5e04236b7', '9bd7044e7cbf8e60', 'b75f3820760d835c', 'ea048e21097e9eae', '3977e67f033992e8', '37ca658a68ab4210', '2b0577494f564adf', '26ea8cc2791328c2', 'ac64989dd2b2a22a', '21c1d6f293998c88', '74eb411688ba5e15']; context = [[1, 51], [66, 110], [4, 64], [106, 162], [5, 56], [28, 68], [8, 74], [22, 74], [61, 119], [4, 50], [22, 73], [53, 99], [144, 198], [35, 97], [14, 72], [8, 70]]; loss = 0.008085 low_pass_filter = 0.300
+Epoch 0: | | 25539/? [4:50:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25540; scene = ['c84ce7b291806055', '9dce78c1dcd85327', '2a816c674416d597', '11f3ee09a95c385b', '1a9b4d12c5b517a5', 'f41c119ea504e8a8', 'f15bac67b7a07933', '87e78ff298b1cd97', '95390743755ea23c', 'c2311a649b12cea9', '4e145d26377a414b', 'b33803d3409e57d9', '24aa7d35a296bf5b', '00c7f4d292a58bd3', '29813418d3210005', '7a93a1f75a9636ca']; context = [[49, 91], [63, 108], [171, 229], [18, 77], [15, 57], [0, 66], [6, 63], [2, 43], [75, 117], [23, 72], [35, 80], [0, 47], [62, 103], [17, 79], [15, 64], [8, 57]]; loss = 0.010588 low_pass_filter = 0.300
+Epoch 0: | | 25549/? [4:50:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 25550; scene = ['6b643ea7fd9a47f2', '9f710f017b023a0f', '7523be2bd95f683b', '01fd1eb6cc528bf4', 'b19972ab772a18f4', 'f30c1287b499b59f', '0653c0585c65ef9b', '4de68fe45f2cf8da', 'afcf166d35c344b9', '277808ef17892255', '7b1c88b4328c29f8', '1adc869076b62522', '40705672cf881305', 'e48218dcf5a6fcb4', 'b409b939c42031e5', '73c2ef569a3b523a']; context = [[43, 83], [201, 253], [2, 69], [16, 75], [9, 78], [122, 185], [32, 96], [109, 164], [9, 54], [66, 112], [1, 45], [128, 175], [29, 86], [125, 193], [27, 94], [9, 76]]; loss = 0.010518 low_pass_filter = 0.300
+Epoch 0: | | 25559/? [4:50:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 25560; scene = ['b5be3cfa849d6bc9', 'fb3a12e72b856bd0', 'cc66dbb6ad5276a3', '4203a06d618eeb97', 'ce0a99ce7be19bc2', '594699f10a03e335', '2023fadef11c9efe', 'a79512c29cdcc8d8', '2c97c067544af4e8', '8b270446ed2d50fa', '89f9d9c77b1db0a5', 'affaaa5bb0d68796', '509a7f772b62dbbd', '90f753de7db1aedc', 'abeb580aecd06433', '8f777c5232c24538']; context = [[55, 107], [37, 106], [25, 82], [76, 118], [156, 217], [37, 85], [1, 69], [14, 76], [6, 44], [47, 95], [9, 57], [14, 68], [217, 268], [145, 196], [61, 104], [3, 43]]; loss = 0.011841 low_pass_filter = 0.300
+Epoch 0: | | 25569/? [4:50:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 25570; scene = ['b920fba1921824ef', '15c541d233b99f32', '1d155fc2dbf621c1', '0e52986b67e75cef', 'be811134779e7c95', '1ddfb57e650ff7b8', '5f5676c298828c45', 'e0b4d5d763af7191', '66e50acd846b2cd1', '6f06edf5869507d5', 'eb18adfdb3125bed', '692c8f1a1ba8d95a', '7d4f88d897aac9e1', 'b5228b26c99db999', '629506e3f6b8d7ab', 'fa14af07fc50d2ce']; context = [[15, 57], [104, 172], [18, 71], [8, 56], [1, 67], [30, 71], [9, 68], [3, 62], [212, 264], [7, 71], [1, 63], [36, 101], [1, 65], [24, 78], [39, 82], [69, 134]]; loss = 0.009839 low_pass_filter = 0.300
+Epoch 0: | | 25579/? [4:50:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 25580; scene = ['1932b5da26849498', 'c56e0d67e4d6c3e1', '0294b1cb70478a95', '156af9c6ddbe679f', '4e234250febdd495', 'cd4b6bddafd166e5', 'f493ee914a673ff5', '840e57a017357225', 'dcb7551919456931', '69293f51157ba0fb', 'd0e60247bcdb97b2', 'd2eed88e19cfd9ca', '68a409152fc28a55', '2cf0d10ee85e7610', '53dd78c4ec2ce869', '85abdea85f9965c7']; context = [[97, 156], [6, 58], [43, 86], [1, 47], [8, 62], [31, 77], [5, 54], [37, 83], [10, 64], [1, 41], [4, 59], [15, 55], [206, 244], [0, 62], [4, 73], [2, 59]]; loss = 0.012805 low_pass_filter = 0.300
+Epoch 0: | | 25589/? [4:50:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 25590; scene = ['7070aa1236baa8f7', '6dedb218c00a084c', '2e72193bbf197bd5', '2653a2f787580744', '3a61fb6b98ef4d90', '80e81e341b65a870', '9819b646b98a16cf', '23239944ae5320b2', '67bfb1615102109e', '2a57757b60e76cb2', 'f2fae71744cd5443', '3899768cb1c16293', '810f74775db97784', '1a19d8dc9c410869', '70d4b8db4ed39f14', '6b8879627b5e72b9']; context = [[56, 117], [20, 89], [99, 165], [17, 79], [129, 175], [103, 148], [75, 139], [103, 151], [12, 78], [4, 49], [124, 175], [25, 66], [5, 45], [9, 68], [0, 51], [16, 68]]; loss = 0.010930 low_pass_filter = 0.300
+Epoch 0: | | 25599/? [4:51:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 25600; scene = ['d4dad31efbf0751e', '959c12d7674abe3e', '56470170ac493354', '1aa060fe73f3de33', '0ef454385d221501', 'c738caa1e61fe2bd', '592e4767cc7518e3', '3e26a7ae81ed795d', 'fb80a9f037b6ea0e', '3f7521b807647a2c', '8383107415c03c05', 'cac2787ed1114d1d', 'f7549c0f70cba5a6', '2942cefcb7358cce', '482b604002f1a227', 'b8e76ea0476fe482']; context = [[30, 84], [0, 39], [3, 41], [1, 44], [1, 40], [44, 96], [26, 64], [39, 86], [9, 73], [42, 89], [57, 100], [10, 57], [2, 57], [34, 79], [76, 133], [3, 65]]; loss = 0.008106 low_pass_filter = 0.300
+Epoch 0: | | 25609/? [4:51:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 25610; scene = ['ceeff0a15a1a8701', '5ff48e1dd62ec394', '858bacf0998dd9b6', '7d05797cba262019', '186cf25279708ba3', 'cee9699320022c5d', 'a900d9929950a86b', '150c91200e8c6efc', 'c8a486b083a1b41f', '184871528de94493', '61f631d8fa601e6b', 'bf4e983248554c10', 'd0252dde8512de70', '8895de712e5fc440', 'ddfa73b45dfa987d', 'c947a2448e98cc2b']; context = [[14, 70], [2, 68], [41, 98], [40, 78], [112, 153], [48, 110], [19, 80], [168, 210], [3, 60], [6, 75], [157, 211], [3, 63], [126, 174], [140, 209], [102, 166], [30, 75]]; loss = 0.010779 low_pass_filter = 0.300
+Epoch 0: | | 25619/? [4:51:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25620; scene = ['763fbba111a520fc', '7c1c07c77d39e0f9', '77659febf946d8c0', 'f3d21d375f937dce', 'de1b480f7479ad7a', 'd49b4fa7b43fc10c', '0f928aa808268e96', 'c854b655b44a62c2', '52c81276984654b7', 'de02237229575e23', '64a094bdca3a99b5', 'e7431d87279f2f40', 'bcde14dd6d048776', '239d12ce68670c55', 'a93b9bf80d472ef5', '3b471fe1f614fbfd']; context = [[1, 56], [5, 57], [92, 147], [2, 50], [82, 128], [62, 111], [45, 88], [1, 39], [17, 56], [17, 71], [10, 58], [74, 122], [1, 70], [18, 68], [2, 52], [69, 126]]; loss = 0.007883 low_pass_filter = 0.300
+Epoch 0: | | 25629/? [4:51:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25630; scene = ['e24323b82d0671c2', 'd2ad156576e078cc', 'e4fc6fa4bbd6efa1', '72d7ff49071fa801', '73542beb07728c82', '5994966dd0897ead', 'c05fd148d2da6d26', 'aa4938d7f2fd0a1d', '1fabb902ef63f533', '8b01b8a2eea580ff', '07ac07edf53ae9c8', 'b6f947d367a27e14', '250bdb5bd7ee5aef', 'ae267c0eaad7d286', '7ce0211de76d1a1a', '5f5bb12d476cdb64']; context = [[1, 70], [0, 50], [61, 124], [25, 85], [29, 67], [50, 92], [0, 52], [97, 146], [13, 60], [71, 138], [7, 60], [1, 63], [2, 69], [128, 187], [17, 80], [81, 128]]; loss = 0.008658 low_pass_filter = 0.300
+Epoch 0: | | 25639/? [4:51:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 25640; scene = ['068d85c0b47f4628', 'c21970a30701dfd5', 'd9069c7fde700fae', 'd1543ce8abd3294c', '9e591049019c2996', '038723be25e892b7', '668193bde2b21db4', 'a695ce29a01dc0b8', '61ba0d41e39ca681', 'c1da5a122e3a6486', 'd10e440ff0a99a23', '506c7067b8d54db9', '4fe12b24324c7c47', '62e9e5716c3ac2f6', '7d1d3e8e7a8d1910', 'e79f7d5144234b88']; context = [[41, 85], [29, 85], [78, 127], [50, 109], [21, 66], [19, 76], [2, 63], [7, 62], [39, 103], [7, 52], [172, 212], [8, 55], [217, 260], [6, 51], [3, 56], [59, 103]]; loss = 0.009032 low_pass_filter = 0.300
+Epoch 0: | | 25649/? [4:51:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 25650; scene = ['f1bb81b38686646d', '9db5d6f52db8ebca', '7bc72ab83e1ddcce', '884815c3ec6119e5', '77b9d40d5d9278bd', 'b1da72d206686bec', '21e2e9ad21492fc4', '5c2bcdae45b3b7c2', 'd67e551cfc3f6a4a', 'f6c0fd481ddb84f4', 'cb39619d392401f0', '16b14534c3561c6a', 'b0056fe2ed291425', '03a8cb9065084812', 'b210d777c3b1b8db', '97ce213c42aafa55']; context = [[35, 92], [29, 95], [7, 73], [7, 45], [166, 207], [37, 106], [30, 87], [6, 68], [0, 39], [3, 41], [47, 87], [24, 64], [3, 41], [3, 44], [26, 73], [18, 65]]; loss = 0.008956 low_pass_filter = 0.300
+Epoch 0: | | 25659/? [4:51:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 25660; scene = ['67693f88a026e955', '7b78a2113b0b67e0', '54c0968cdfab4471', '9a902960aaa032fd', 'fa42604243a1cf5c', '791c6386a4340932', '6d727b8f5862a634', '7afefd271f2ff47d', 'a637b8400669672c', '1319170a73cb514d', 'bedba1846d7b3f88', 'fe356da855cd3c76', 'c88763918c3b5bdc', '7245e11c64786906', '9807f8f6ea448e58', '6196f4fa2700b0af']; context = [[57, 124], [98, 139], [2, 51], [164, 222], [118, 174], [1, 48], [105, 171], [117, 169], [2, 62], [20, 87], [4, 60], [18, 67], [61, 102], [76, 140], [0, 62], [12, 58]]; loss = 0.011985 low_pass_filter = 0.300
+Epoch 0: | | 25669/? [4:51:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25670; scene = ['8d5adf5bb663ed59', '050c893adf8f2dc3', '1775c4b83b3abfe8', 'e92c4e41e6dd1d3f', '182c45ad9d9feada', '6238ed8f3db76cb8', '174258c0129fc8b5', '1b51ee8926154783', 'e72a9a109b2c3859', 'c985e6462e64cf36', '31ff05dbf772323c', 'a5eca21da9f61d53', 'db30a004a7ebb212', '2e072a3b7bb0397e', 'bacbae2314c541bd', '8fa8b7cdf510feeb']; context = [[20, 60], [44, 94], [7, 63], [27, 76], [64, 111], [35, 82], [36, 95], [6, 46], [188, 243], [9, 76], [10, 50], [6, 68], [2, 66], [135, 202], [9, 77], [0, 45]]; loss = 0.010770 low_pass_filter = 0.300
+Epoch 0: | | 25679/? [4:51:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 25680; scene = ['92c6b068eef863c1', '5bece91c5864e528', 'dd709a76c4ade039', 'c4a00d6ff8529867', '750888ee3338e002', 'd5272681859ac87d', 'd86fbb8ba2bcee27', 'a26363624d7d2ebd', 'd312a48eec9207af', '95e2ddd4cdde4c5f', '44832125f07d776b', '3cfb633b947bdfe3', '8860d3251307030c', 'ce8aee19127c3952', '1d4265985e7667cc', 'bd295705900345f7']; context = [[17, 56], [66, 135], [17, 68], [12, 65], [3, 70], [32, 94], [4, 61], [24, 79], [43, 105], [29, 85], [85, 124], [87, 151], [10, 67], [17, 69], [13, 61], [26, 81]]; loss = 0.013566 low_pass_filter = 0.300
+Epoch 0: | | 25689/? [4:52:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 25690; scene = ['ee5b68d3466873cd', '1b28d4488bbd73a5', '2e2cce8b80bc8018', 'ca9f9eb29db75829', '453edcb688f085fb', 'f625bc1d8fe98cc3', '237ba5495c4df4e5', '73610c89bdc12aa8', '9f1c1c2f4e180150', 'f6a115c9b90dadd8', 'd6dabd357b310cb0', 'e801fc2e2679769c', 'e85deee4d4986cb5', 'd77aac464bf67157', 'ce4bbda27b8d6d2c', '54669584a6cf7993']; context = [[83, 136], [5, 65], [10, 53], [74, 128], [117, 159], [46, 90], [15, 61], [76, 131], [26, 81], [55, 111], [54, 112], [203, 252], [35, 77], [9, 64], [20, 63], [6, 62]]; loss = 0.011520 low_pass_filter = 0.300
+Epoch 0: | | 25699/? [4:52:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 25700; scene = ['5c09e40e2bd203e7', '35a97ea535944eac', '3aaccacf4e52c225', 'a548a64351982b0e', '77cf345e3fadab72', '5ce2bba6439e8b09', '6a239fe4886c5e3c', '019fdd708d7163bd', '72016c9b041f4bcf', '742eaf7317415c35', '4c94dc60ea4fc29e', 'fbed2318ae410b31', 'fc33d4814d21b0ff', '666ba10fbd4f9234', 'fa743fadeb3db677', '8093a591925afb51']; context = [[5, 70], [204, 263], [22, 74], [14, 73], [4, 66], [39, 102], [58, 111], [86, 155], [62, 101], [2, 64], [10, 65], [45, 94], [16, 72], [13, 72], [32, 92], [0, 60]]; loss = 0.011473 low_pass_filter = 0.300
+Epoch 0: | | 25709/? [4:52:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 25710; scene = ['744fbf6d7da41abe', 'da2584e1fbd30dea', 'ffc4643950346872', 'c28f10a578096fe7', '6d638e347e889c63', 'bc8d6f045241fec7', 'cb6f68fd2e9755aa', '37ff350eba2c5f64', '66a09cc7f5e4dbc8', '379f7d095dd31bbe', 'd705175cee467a2f', '1f2c53501ca20a48', '0476466b02a84b3a', '10810c921b4b3f84', 'c86ccd2448e8735d', '008d5bc870d12c22']; context = [[148, 205], [71, 110], [70, 121], [15, 56], [100, 150], [44, 96], [23, 72], [96, 138], [21, 78], [104, 142], [91, 152], [35, 75], [90, 133], [20, 61], [53, 110], [114, 152]]; loss = 0.009602 low_pass_filter = 0.300
+Epoch 0: | | 25719/? [4:52:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 25720; scene = ['3d5a6102484db5cc', 'ead9aabd27eaff8a', 'fb003d082b1c3ed7', '3c9ad99cce6558da', '0d1c5e5e77dfc06b', '7f8cd1f3c9acb8f8', 'd4bd2dcc63c5ea54', 'e3e252f0494ff061', '1250e0831ff05593', 'f44a0546760ccdb6', '0362bc618a029222', 'c2b2d238f9214068', 'ed35350baa1d1fb2', '7637453da2bff547', '623e9b4a6f37f93c', '83496ae8367a6c96']; context = [[54, 97], [19, 67], [15, 72], [29, 73], [161, 202], [12, 54], [1, 54], [16, 79], [118, 156], [1, 68], [8, 52], [31, 69], [4, 53], [86, 135], [38, 79], [19, 88]]; loss = 0.012443 low_pass_filter = 0.300
+Epoch 0: | | 25729/? [4:52:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 25730; scene = ['6726f4b1be3b02e0', 'd44eb5d03836bfa8', '254bab680a316f9b', '1dd9a0ed267383c0', '6be724a70229bc17', '81ee97f3eb44b898', '09c7171529d82a2a', '2b08d88dc7851fcd', '1545821f510802e7', 'e41dad3f906ed87b', '1f3bcac2fb6e1c84', '3582b54a8e7095ed', '9789c9bca500f60d', '57fe7c02c5ec9bbb', '1f2c37aec9ad5c43', '16df3af9c5647285']; context = [[0, 44], [4, 46], [17, 69], [5, 43], [42, 106], [8, 60], [14, 53], [71, 113], [11, 50], [13, 56], [106, 145], [17, 73], [16, 58], [169, 221], [159, 214], [18, 64]]; loss = 0.009522 low_pass_filter = 0.300
+Epoch 0: | | 25739/? [4:52:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25740; scene = ['fbf477cf0b0e6624', '07f6c4a1f6151dca', 'aebfe0f3df7f20ea', '7f1a1335ce6a370a', '8317a2305e9a91dd', '0deec8ba153b3a98', '6452e7112d532c51', 'ffa4fc8c1589138a', '5b19f041d0e2b692', '9717981357538498', 'd1a1aeca91e29c76', '47ea7b75465317a2', 'e4823869577d56d8', 'c8189209a5831b8d', 'c16ca0438aa79d22', '74e7cf0c3f2ff8f2']; context = [[16, 71], [1, 41], [76, 127], [147, 196], [20, 81], [80, 135], [101, 167], [23, 84], [163, 216], [36, 95], [11, 57], [5, 67], [39, 105], [1, 44], [3, 65], [27, 72]]; loss = 0.008386 low_pass_filter = 0.300
+Epoch 0: | | 25749/? [4:52:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 25750; scene = ['bae2ba40b2703313', '5a56c4b9687b88c9', '465249a4ce4bef29', 'a3e1454634601a50', '01789229a85a4516', '965ec1449069644b', 'c5223ef0da739843', '446f07aceef2d476', 'dcfe017a032faf61', '17e623adb5750061', 'ec1789428dbe59d6', '715c63bb45248252', '2411b9a5fa5fc39f', 'fa1dfca0f0dd4bb1', 'a9f2052b7d3608a7', 'ae25c3b3bd733c0c']; context = [[124, 178], [5, 57], [20, 82], [4, 67], [0, 45], [73, 142], [23, 76], [53, 109], [34, 73], [1, 68], [35, 87], [8, 71], [140, 208], [15, 72], [224, 266], [17, 82]]; loss = 0.009425 low_pass_filter = 0.300
+Epoch 0: | | 25759/? [4:52:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25760; scene = ['2ddb67832c160567', '91bd4d5858c4f7da', '173c3c8521ffe556', '0471a51233a96adf', '83d103672889a1b3', '2b634ad643be3bb4', 'f00b015a283a4923', 'b45aaf0961467ac7', 'f7f0e9c9bb11a8f8', '28dfdf09d7e7f141', '095b327d0991f54e', '789e3dd7a059f5d3', '42f9555cc5b7f279', '5234deee5bf92f77', 'f2d5fa6533aa8ff8', 'a28a3e656cfcfeb7']; context = [[81, 147], [0, 42], [38, 86], [5, 47], [195, 245], [136, 197], [77, 141], [124, 177], [12, 80], [25, 78], [58, 127], [32, 99], [11, 58], [231, 274], [65, 116], [19, 70]]; loss = 0.011250 low_pass_filter = 0.300
+Epoch 0: | | 25769/? [4:52:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 25770; scene = ['da2a7bb7a32a94df', '0ff2c8c09eb6a8f9', '572ff873f8ada192', '51408dcc2c36867a', 'b6f793dc97f8680a', '0625ac4ab070fb87', 'ed9de3b95ffec046', 'c6a25a9741194cb2', '31ad5d8a976a62a4', '316efce0bff7c388', '7f3900d49cac35a1', '5c4fb0add49cbd58', 'c52cef7d7890369e', '8aa54d54952c746c', 'ffc2f67f24e55466', 'dd8e8d5c7c7f2e8a']; context = [[194, 232], [1, 60], [33, 78], [96, 153], [13, 62], [39, 103], [29, 90], [51, 89], [16, 74], [63, 107], [26, 80], [15, 67], [60, 106], [47, 93], [71, 132], [50, 111]]; loss = 0.013044 low_pass_filter = 0.300
+Epoch 0: | | 25779/? [4:53:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 25780; scene = ['a5d34020cf7cacbd', '2cd72af45b4093cb', 'af3899e50afdfa9f', 'b00f502f468fa5e1', '04d49eaed769debf', 'ce267807e6f8819a', 'b6f646046b2a6c12', 'e6bfff9f049d72f5', '15c33c76f8a7238e', 'e73c3c5ae18982a9', 'bfa559b4958cc3f0', 'efcc02500ae5f63a', 'bef682a92ce892d4', '1fbd3c030aafef5a', '1eceb072c56cef6a', '1eaa109d45cc63a0']; context = [[13, 75], [74, 132], [33, 88], [12, 69], [36, 105], [1, 42], [8, 62], [69, 113], [31, 69], [1, 54], [8, 68], [51, 107], [116, 154], [6, 66], [32, 73], [28, 69]]; loss = 0.011642 low_pass_filter = 0.300
+Epoch 0: | | 25789/? [4:53:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25790; scene = ['c5603a5e8498a827', '547ebf48151eef4d', '509496bad5a12f79', '2cc2af36e6bb9fed', 'f5338d00f9c021a3', '5e55a38946593552', '3fb6c568d960f072', '50771a5d94ac3e05', 'e7aa969073578104', '25767990c1e5df39', '5cb6a4466d5f4f53', 'f09b84993341b1bf', '23683c24eb019816', 'eb9a6eb40e64e0c2', '564ea16244f45dd8', '38d2ac7c43dd0eb8']; context = [[27, 85], [59, 109], [152, 216], [28, 70], [214, 257], [118, 185], [0, 54], [7, 58], [71, 127], [24, 69], [20, 64], [6, 55], [17, 63], [57, 97], [15, 58], [85, 152]]; loss = 0.008814 low_pass_filter = 0.300
+Epoch 0: | | 25799/? [4:53:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25800; scene = ['6f81a4ccaeb687c2', '2572d5318c4a894c', 'ad9fb9be955d5f75', '9e78a8ce89ddf0de', '40e5a3bb5f8594ea', '30f5837d45148abf', 'f590c2e368c84263', 'fb602e807115895f', 'eaf9ee5dcff79cfb', 'a481f4695f950b6c', '6e3b707bc0e641db', '0cd5fa6be5701535', 'ed07387354f104e5', '7412a1ebda95734f', '0603807853f0f013', '6e562b93f45f3703']; context = [[90, 150], [0, 51], [85, 123], [28, 92], [7, 50], [26, 67], [165, 216], [141, 195], [39, 85], [0, 59], [12, 56], [1, 62], [203, 244], [28, 69], [0, 59], [78, 137]]; loss = 0.010144 low_pass_filter = 0.300
+Epoch 0: | | 25809/? [4:53:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 25810; scene = ['fff64f42340c9f92', '4268e3a564bff6be', 'dc147135ffd7390d', 'f646cb850ed823d0', '7950819803c38007', '481a5415dc213548', '7d7f87066fdddc0d', '526648b6db73136f', '03805e0aecc9ae58', '033a6f5499fd4763', '8b422b535466905f', '2bc08ab9bd25f36e', '60c2ea41a5e6ad12', '51821a6255cde575', 'e35efbb0c598de5c', '64e4fbce1abea49c']; context = [[5, 70], [78, 142], [18, 56], [8, 72], [81, 126], [2, 57], [6, 67], [63, 119], [36, 103], [12, 74], [55, 112], [63, 118], [87, 128], [24, 88], [32, 75], [10, 51]]; loss = 0.009528 low_pass_filter = 0.300
+Epoch 0: | | 25819/? [4:53:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25820; scene = ['85ca66628c3b583c', 'e3330c1feb8b3ee0', '1613fefaad02972b', '82f678db97e94615', '93b6278cf013b714', '8d073ac3acb75992', '015ca2f115af3dde', '551fb8535c0aa256', 'bcca779045d62e67', 'ab4c74b2751a2306', '504f84dcd4f6fd4c', '8c94bdd2b798e17d', '757f1088d03ebd8a', '20c0caa90d9b9e55', '419e7c09988d876e', 'a04c6af8ffb89955']; context = [[13, 52], [38, 83], [3, 61], [11, 64], [2, 62], [16, 69], [68, 119], [18, 70], [15, 60], [1, 70], [54, 93], [13, 75], [135, 177], [78, 128], [18, 77], [76, 129]]; loss = 0.009463 low_pass_filter = 0.300
+Epoch 0: | | 25829/? [4:53:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25830; scene = ['4cb3a3bc72da5752', '92d48535714e3403', 'a6ff3463269a8294', '672ceef1477a4ee1', '1d3ae192a6390463', '681de2df4fcb3ddc', 'bcaf2ffd6f7195ff', 'd951d136123e72ca', '79beea9672385e70', '9a58dacbdeb095bb', 'a8580c6b2825efcb', '42bb78b6bb2015b5', 'b3e785efcbb39bed', '007d91ee3338229d', 'c07f313faace15be', '2de65d8f9645d15e']; context = [[26, 78], [63, 109], [10, 57], [37, 85], [55, 112], [8, 61], [13, 54], [88, 133], [21, 83], [84, 152], [9, 66], [17, 66], [12, 64], [1, 66], [1, 58], [19, 67]]; loss = 0.010527 low_pass_filter = 0.300
+Epoch 0: | | 25839/? [4:53:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 25840; scene = ['16ad60739d062c0d', 'b6f35460c7ab5e4f', '1db541021f08c569', 'd2df2ab53964add5', '9a32a8daa43d59dc', 'aa9501b0fe74e3e2', '1b200ddb0e8760fd', '27f95438492b1f5d', '3d9d33cc3bedad51', '5d3adfd63b17163f', '03ea09bf65357e60', '054c7b44f296f89b', 'dcef19d1e21275d4', '8f30c1582145c9f3', '6df050e937ac9f8d', '6c4a195e1fa3b28a']; context = [[209, 265], [31, 78], [14, 82], [12, 58], [35, 104], [44, 108], [108, 157], [3, 55], [59, 112], [20, 65], [24, 80], [55, 99], [9, 59], [14, 54], [68, 116], [6, 74]]; loss = 0.013634 low_pass_filter = 0.300
+Epoch 0: | | 25849/? [4:53:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 25850; scene = ['3e0497b3be34d492', 'fbc40b507a2ef712', 'abfb3e8af35aef41', 'e59c541c3c0cc68c', '1d6ed861c30a6c05', '17182e5c481e14f1', 'c0a19ec78a7ad15b', 'fb9e93054db6ebbc', '38d17287a2d1b35e', '4e2fbc828c9fe2bc', 'c9ae81970b7075f0', '8f7ee093c756747f', '937764224c20d45a', 'fec56e270756abde', '44b340e3529d5406', '8de1dc4b14509c48']; context = [[66, 115], [6, 51], [1, 40], [32, 91], [9, 58], [10, 49], [1, 40], [187, 245], [13, 68], [1, 50], [95, 147], [175, 229], [120, 169], [9, 73], [31, 82], [1, 40]]; loss = 0.010390 low_pass_filter = 0.300
+Epoch 0: | | 25859/? [4:53:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 25860; scene = ['1ec05b1217b8faed', '35bf2746e0a4e79e', '75471527ff3b5afd', 'a27eef8a648834bc', 'b27b5bfe5e4a5aec', 'f6dd60c46b7401e4', '485b767178f8d931', 'a190cb946726d886', '03a91501aac2c6cd', '6a1ea67384a032e0', 'd203eea4f23729fc', '44a80e185df46f72', 'a16e4bbb68282ea0', '1dabb60db937c768', 'cd081fcfcf314ef6', '79c03730a78833a0']; context = [[78, 128], [29, 70], [122, 186], [177, 229], [0, 48], [3, 72], [125, 191], [5, 46], [23, 70], [17, 75], [112, 168], [79, 124], [35, 89], [13, 54], [71, 131], [13, 54]]; loss = 0.010867 low_pass_filter = 0.300
+Epoch 0: | | 25869/? [4:54:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 25870; scene = ['16786b3b82992a6d', '5f0abde967392b64', 'dec83e9b894e9d8c', '2e7ce3e57bead424', '37205c388a65d832', '78d0ce3944e20e13', 'df222036e9ce1b1b', 'd719013f6756802b', 'd3e9e885f06cf2d7', '8147b073803ed169', '905b8ce6244103e3', '840e6842fb5ba732', 'c5e2876b5e0e7265', '067c03a150a6535d', '1f0a743ea04c1022', '4b6f368238db6ba0']; context = [[92, 134], [190, 258], [16, 74], [30, 81], [1, 50], [3, 61], [23, 66], [84, 125], [1, 43], [0, 69], [31, 80], [175, 222], [33, 97], [35, 92], [43, 107], [9, 51]]; loss = 0.008459 low_pass_filter = 0.300
+Epoch 0: | | 25879/? [4:54:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 25880; scene = ['f546d4b7f1fad4fc', '083e06ea00de183b', 'fe95b1b2cd2306fd', '6f8c7d10b8feadcf', 'ea05fe4dc21b53e6', 'db57f8c931011117', '97c5d79bc0c119e7', '8f242b96af5a7005', 'd0e565ee49890e94', '3231aca99e0a8889', 'c6066f922a2b4fe0', '7ab87cae327184c3', '3e9b0aef46871757', '303910b1146da10a', 'a31eae8ce8a4dbfd', '6fa7c62ef1f2df71']; context = [[15, 58], [11, 72], [0, 60], [43, 94], [9, 53], [128, 185], [1, 46], [64, 123], [53, 122], [56, 106], [51, 89], [183, 248], [23, 87], [1, 66], [54, 118], [1, 65]]; loss = 0.010156 low_pass_filter = 0.300
+Epoch 0: | | 25889/? [4:54:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 25890; scene = ['01df3fff1e49799c', '37d687c129022732', '5504701fb8520818', 'd0949c78a764e278', 'c9cc80abd6a058cc', 'a5991c36cbc1e162', '7e39c1172230514f', '6519a2e146bec2a3', '6b3f97ae13e1f6c3', '74e3e6de971edea1', '093704d9160df32d', 'fbd4913da8a907c2', '828399209d5ffc4f', 'f76b02964abe7d74', 'bb3c42b6434a231e', 'e290173c0fde2ae8']; context = [[86, 137], [58, 97], [61, 107], [36, 76], [0, 40], [6, 45], [41, 90], [8, 70], [74, 129], [19, 78], [204, 273], [7, 65], [104, 143], [5, 71], [33, 78], [7, 62]]; loss = 0.009723 low_pass_filter = 0.300
+Epoch 0: | | 25899/? [4:54:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 25900; scene = ['2182b76a33fef09f', 'd6624aac6774c6cf', 'e18573d92ab9ebf6', '7665f3aca38b0220', '9fea16da5934281d', '481eaa0e0208530c', '5635970d790ef23e', '4ea42f87aebcb998', 'f5b22f85a5ab4806', '3afb5d28d32fe31b', '210a554ba8d9cd87', '8d0a735a877f6368', '70b657330ca11de8', '48252a4b54c04894', '90d1df38cff37e64', '23ce480af575d312']; context = [[41, 85], [8, 50], [148, 194], [96, 165], [56, 120], [4, 71], [70, 116], [53, 95], [1, 65], [15, 70], [18, 71], [6, 56], [33, 85], [21, 83], [3, 42], [77, 119]]; loss = 0.009584 low_pass_filter = 0.300
+Epoch 0: | | 25909/? [4:54:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 25910; scene = ['d5d319bb0bb91ea8', '3442a19cd7d6d5c0', '4d09d7bbfb746a2e', '79bc7be6d517c2a0', '44bdf4329253be0f', 'c5461c555f448911', 'be8ec5059dcd84c7', 'efbb4fa57602a575', '75374fbe603acdc3', '8e200c435db6aa29', '7255e59541aeec0b', 'df1833c7f247b8c8', '3413cbe14a2c0fbf', '2ab05c982fe556ba', '716290f59cec96d4', '2bfd7a62ae051639']; context = [[3, 65], [21, 66], [3, 54], [9, 48], [14, 73], [26, 84], [34, 79], [206, 263], [40, 94], [30, 77], [65, 124], [40, 83], [0, 38], [10, 74], [43, 82], [10, 66]]; loss = 0.013349 low_pass_filter = 0.300
+Epoch 0: | | 25919/? [4:54:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25920; scene = ['812f66c0ca94fcc9', '42928282597bbae6', '5f50c0139db3d146', '63152876b2962eeb', '3bd8b6fc41cb1a82', '6ab4f1994ae94609', '33071a63b419262f', '7c40bffc17c61edb', '629b76c446e7e1ff', '49ca0e41c7487452', 'b56e105ab403fa24', 'd03a73369cb6a472', 'd48f435e37cfc3a4', '7f7438bbf4ad4571', '85b4424274f57276', 'e61c4e10dbb5f3ea']; context = [[75, 121], [70, 122], [75, 116], [0, 43], [11, 52], [17, 76], [1, 69], [3, 62], [3, 65], [82, 136], [27, 92], [19, 87], [15, 68], [12, 76], [174, 229], [25, 64]]; loss = 0.009414 low_pass_filter = 0.300
+Epoch 0: | | 25929/? [4:54:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 25930; scene = ['3222c6f65e953650', '99024f17cee81656', 'b4c9c26caef44e89', 'd101ed7d57d47b7e', '16333d9914d5937b', 'b3b4229128c01334', '852f7c2aab04ec8a', 'e4f3630e8f2fbc49', 'ec3f91fd42fe933e', 'd14823e5d7bf0345', '652eec833b4c7da8', '0831f0c838e6e563', '0c0750bfa3e590df', '58a007e8e111ef3f', '4420547213fa33ef', 'a3d0cca9fb57fd85']; context = [[98, 158], [14, 57], [47, 106], [15, 72], [9, 62], [98, 146], [116, 180], [104, 161], [62, 123], [28, 96], [77, 118], [19, 67], [41, 90], [118, 187], [71, 111], [15, 55]]; loss = 0.010770 low_pass_filter = 0.300
+Epoch 0: | | 25939/? [4:54:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 25940; scene = ['bcdb79a5ef8910f8', '05244e7bb6be731c', '35b17517c1bcd92f', '5e39693ca59e8130', 'aab1107e09a45e35', 'ec4619c9a04ad474', '14f431bca6f79d3b', 'd5a9be470293e204', '7645fe1e7ec6456d', 'c76d5c37993cd546', '042a55e78c9a78bf', 'd1b677821157bbd7', '012785080357adfd', 'a9cd1ed7693da0f3', 'be5e569ee7a66bc6', 'e5a9f9a576763b76']; context = [[7, 49], [7, 46], [15, 77], [107, 172], [16, 82], [161, 199], [20, 68], [203, 260], [108, 159], [35, 85], [99, 150], [12, 69], [0, 51], [56, 107], [48, 92], [0, 58]]; loss = 0.014537 low_pass_filter = 0.300
+Epoch 0: | | 25949/? [4:54:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25950; scene = ['e8041f1e1fed357d', 'ff02f88545dfa566', 'df378b8aa82b58d8', 'cee9854ce7c26fc5', '8d9ff5cd908a6c41', '8f05895cb146fc2a', '69ecf89c19fc5e66', '3cbfc2fc164269c0', 'bf44dcf838be7723', 'a720ffa787230c65', 'd44cfdddecdcbcf5', '05b5752d615deeb7', '35fb934b6f5d7250', '2a0c203240264351', 'dcb8ffff13e493c5', 'd7b29df60c4100dc']; context = [[92, 151], [72, 136], [5, 44], [26, 69], [10, 63], [30, 74], [2, 48], [20, 74], [12, 75], [5, 44], [80, 135], [175, 238], [47, 99], [38, 82], [4, 43], [53, 106]]; loss = 0.010406 low_pass_filter = 0.300
+Epoch 0: | | 25959/? [4:55:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 25960; scene = ['89dc50dc9a4e15bd', 'e1843a68dc42dff5', 'b4e77f88414fe966', '8592ba43aefb06d9', '17515d51eaafdd2c', '694c8dd760733383', '6203ec07eb54ea40', '9258ddec553eebc1', '5f6769e58c33cf0b', '36f3aa0785b3fe43', '60f3a3b7593eed53', 'eb3c7682b5e3ca81', '97ca81e3d9b2a5ec', '5b70d25bd9127630', '881055c002ef1e5d', 'daa33c5d0372574c']; context = [[34, 74], [25, 81], [0, 39], [3, 44], [3, 61], [20, 88], [11, 69], [19, 57], [67, 123], [162, 229], [32, 73], [12, 67], [39, 85], [137, 178], [53, 95], [20, 70]]; loss = 0.008661 low_pass_filter = 0.300
+Epoch 0: | | 25969/? [4:55:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 25970; scene = ['2f38e23c9af5b565', '30ba32c31521175d', 'b5b77d5fb33aadf9', '6da69e059ba7030b', '83f9feb3fbd8b37d', '816ab726dadb8795', '0d838f304da2d721', 'a2fb92cb976a8506', 'fb82c586a77e9d12', '7d3a4db42458fcb5', '5aef79486958a9c9', '5ae2c32a2062fc64', '26b59e475b721b70', 'b5c07eef1beb187e', '61195575024c6cf4', 'a3da510ad5c8274e']; context = [[41, 102], [57, 122], [58, 122], [220, 264], [152, 208], [128, 169], [38, 91], [79, 117], [23, 71], [50, 96], [25, 94], [17, 73], [20, 72], [68, 112], [59, 105], [67, 136]]; loss = 0.009940 low_pass_filter = 0.300
+Epoch 0: | | 25979/? [4:55:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25980; scene = ['eaeaf71b0ff6e2e2', '259fec6c43f1f0b1', '144e1ec915e46d29', '164bfbcf3c843542', '88f602169e8e43e5', 'b34bb5f53856d34f', 'a7c776da58a96494', 'b25963fb28a6fd6a', '533bb7185fd2572d', '281599bbab3e73dd', 'f99640d38891e746', 'bedf88185159e542', 'dc50de438abdb52c', 'fd9625e01240c2a3', 'e23baeaee13d12b1', '1e82a72ac95c1a0f']; context = [[158, 204], [179, 237], [8, 50], [42, 97], [72, 126], [0, 39], [1, 59], [18, 63], [80, 121], [14, 53], [130, 196], [94, 137], [223, 271], [165, 220], [2, 62], [11, 55]]; loss = 0.009935 low_pass_filter = 0.300
+Epoch 0: | | 25989/? [4:55:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 25990; scene = ['82553ea3fe4fa671', '7669e97d364f029a', 'e579edd7cd33c20f', 'f6002d27b4940f4b', 'bb2d9debacfd0afe', '152fdd4a1d573eac', '83f57bcd5d9121f6', 'd0b05114696275a3', 'f74d512df8806cc1', '8d240b118357cf8f', 'fd367e423c5ec1e6', 'f760a303e59652b9', 'b60f44eb4453cabf', '4f6fe1053f3ec911', 'caffe3c2bd9d8aa1', '00db55a7dc4058d5']; context = [[14, 76], [17, 77], [0, 39], [62, 125], [8, 56], [6, 68], [8, 69], [41, 105], [39, 108], [48, 86], [95, 154], [58, 115], [72, 121], [148, 195], [108, 158], [0, 60]]; loss = 0.010456 low_pass_filter = 0.300
+Epoch 0: | | 25999/? [4:55:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 26000; scene = ['d4e43250c96c98c5', '43765e6135a1b51d', '3a54044fe7cf177d', 'd77f61447f897ed0', '2fd2e724a6a04576', 'd960d2f3dfb2a4d0', 'a9139b3b3fda05b5', '4b8623b613080a05', 'd095902f17028960', '5ecf126eabe4bf2d', 'e5e49ef1441c4a0b', 'fc76672a12aa84b9', '317b285e38d28b32', '8f11cc34cff18c88', '2c544ff365d58529', '248bc6eca693c120']; context = [[81, 139], [0, 70], [49, 117], [0, 38], [69, 112], [3, 62], [137, 196], [21, 67], [1, 45], [12, 76], [26, 72], [9, 47], [1, 71], [42, 89], [4, 53], [6, 57]]; loss = 0.010939 low_pass_filter = 0.300
+Epoch 0: | | 26000/? [4:55:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0validation step 26000; scene = ['46502a6038bd288f']; context = [[19, 83]]
+Epoch 0: | | 26009/? [4:55:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 26010; scene = ['5b38600054300759', '7f54d26a8ab0e14e', '86804304e90a280f', '9749f269b3c35673', '7453567bc6bb115a', '4bfd9ce2e7cf4105', '09f926704a6f40ed', '52c56b2d23539cb6', 'c4874263cf3db05d', '5dc2458745ac4f7a', '1219a58b37007b1a', '90315abc4bf86c86', '8106401c3015f193', '29ec1cdce3773212', '08ee15c7042507fd', '9a2486bdf41619d9']; context = [[5, 60], [23, 67], [0, 54], [7, 63], [5, 63], [163, 204], [1, 43], [27, 70], [2, 50], [44, 94], [34, 80], [59, 118], [73, 123], [86, 145], [108, 148], [51, 92]]; loss = 0.010136 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 26019/? [4:55:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 26020; scene = ['8b59ce9d21cdabc5', '29d6a3513da47b2a', '9e05992f56f535dc', 'ea903615256ec50f', '95c7b06087c6d341', '430eed4f28618c39', '78db40a9260868ef', 'b1b562b40036ae76', '6b7f15a683fc23a5', 'db560bd3bad6a29d', '3fd25d4c4bd917e3', '42837c7159a414e5', 'd5140e98ec18e816', '597188ccf92f057e', '67a721d9dacc515b', '0b758b68786dc733']; context = [[14, 57], [143, 211], [58, 101], [38, 104], [21, 68], [26, 88], [65, 133], [54, 116], [8, 78], [37, 84], [2, 52], [65, 117], [175, 225], [152, 211], [4, 57], [35, 89]]; loss = 0.011879 low_pass_filter = 0.300
+Epoch 0: | | 26029/? [4:55:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 26030; scene = ['0d523169ade73286', 'ea0724550b13acea', 'c5bab1e3fcecd090', '9b6bdc23cba32873', 'db69b164ea00101f', '7b2ab16242301c26', '9de46bb009a08fb5', '7a0b51c3bfddce51', '317861b88f2bee02', 'f327230ea9b67004', '3a05ad6466f6ca3c', '76414b18a47e67b2', '02c369a3c9d058f7', 'eb86ace974e6b427', 'a1a5d5afd4a798bc', '9e6bf921e918aafc']; context = [[68, 114], [90, 154], [49, 117], [11, 78], [155, 225], [1, 69], [6, 51], [208, 273], [102, 164], [80, 147], [4, 51], [178, 243], [149, 201], [95, 153], [164, 226], [5, 52]]; loss = 0.011086 low_pass_filter = 0.300
+Epoch 0: | | 26039/? [4:55:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 26040; scene = ['8fd783a99a2d0141', 'f93e6c088e262d6a', 'cd00b6547676486b', '7420d0473d2f747c', 'f3c60f58000d1e09', '614a349e0b16efd7', 'f7c8f65808f12d08', '63ec3dfd04ee6970', 'f52133a15e87c234', '246e232ddde9d3e2', 'f3bc1a6ad7acbc5f', 'ee2cb07f49973d2a', '1c1838ca17ba6546', '9b4b55d49b0d6c6f', '5b370f62c5d74660', '5977ebfe3fb13dc1']; context = [[74, 135], [17, 72], [8, 67], [1, 58], [2, 69], [49, 99], [6, 63], [29, 76], [33, 72], [10, 63], [38, 83], [202, 248], [24, 93], [32, 87], [3, 67], [15, 63]]; loss = 0.011440 low_pass_filter = 0.300
+Epoch 0: | | 26049/? [4:56:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 26050; scene = ['082779aebfbf4a46', 'e701002db5b431d8', 'd25d6a9b1356b134', '11b0941f789a29b1', '0e02ee3c20133fc7', '4281ec37ed7f314f', '5db35c5a758e42ae', '742793d0325d9468', 'd5baf7d53e841808', '87d8ff58d20dd38e', '6ac21339504bd55f', 'ceaa8a7f61143b3f', 'be9bf46e270b4063', 'b2191f22b72cd698', '1d30d8bce2897a08', '63a408decbee5e99']; context = [[37, 88], [98, 162], [11, 53], [7, 51], [4, 51], [8, 49], [43, 85], [65, 119], [51, 96], [21, 74], [230, 278], [12, 73], [8, 76], [9, 52], [57, 108], [203, 263]]; loss = 0.010808 low_pass_filter = 0.300
+Epoch 0: | | 26059/? [4:56:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 26060; scene = ['809c4a534eb3b5c1', '64af7d972b2609d2', 'e459d51b26a20aea', 'ce54c9faf39506db', '3d6be0f3b963ce22', '2f98a9aac1958f7d', '2253cdcdebb8ee34', 'c264a11347c75a0c', '55ba02202477c1fd', 'c9ed83552cac2a65', '92e9963c8f525044', '6710ea30efb5b47d', '20b791440b7ec0b5', '5c9877200c432073', 'ee3f7a4049756e71', '97eab841f52c3532']; context = [[77, 125], [27, 91], [61, 106], [30, 68], [99, 164], [21, 91], [11, 49], [126, 164], [14, 54], [29, 98], [20, 89], [192, 244], [0, 65], [5, 51], [3, 69], [10, 80]]; loss = 0.008322 low_pass_filter = 0.300
+Epoch 0: | | 26069/? [4:56:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 26070; scene = ['5914b1859a79ba29', 'fccd2ce3b04593fe', '5f204ad1cc82ddaf', '52353deaec940de4', '1368397e2dcceed5', '6fd0a32acb5e9be2', 'fefbac7ae3dcaf5c', '586c40e55dd9917b', 'c8be2a65ab3523bf', 'e93bcdd32f6201d2', '18dff95c712c43cd', 'b2002f67cd58c3f3', 'cd3f80e2f7a82583', '44ca078432802942', '8b43bf4714cafd7c', '1e592f706a286ce1']; context = [[74, 133], [10, 80], [46, 108], [2, 70], [5, 49], [4, 71], [36, 75], [17, 74], [2, 52], [8, 74], [6, 66], [1, 56], [1, 68], [234, 274], [7, 63], [57, 116]]; loss = 0.015424 low_pass_filter = 0.300
+Epoch 0: | | 26079/? [4:56:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 26080; scene = ['053a8ffc1fecb90f', '476081f1477b4542', '34ee4b7e062656b6', 'e791f0a53b27bbd5', 'a814d663d6af2674', 'c8a89452aa4cf54f', '3678468a9d6d42cc', '555c778e6f96777a', '0d75be966f561519', '623d5619e4702864', '0d32af0aa9eaae9a', '27c55b5a9f12362b', 'b950cd4348d01e2a', '68528e468bf52aca', 'eba4eb617aa5d763', '804998e7ec39d253']; context = [[28, 94], [4, 53], [21, 69], [20, 71], [94, 137], [17, 73], [100, 146], [38, 99], [1, 58], [201, 271], [3, 42], [23, 64], [23, 91], [11, 71], [24, 86], [6, 69]]; loss = 0.010869 low_pass_filter = 0.300
+Epoch 0: | | 26089/? [4:56:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26090; scene = ['cdedebc7404b55c6', '8f85d318571f0d5a', '3e81ba33406f43d3', 'ee02795c2cab0d84', 'f99052aa7f75d58b', 'bb3f4b8c39aa0f9f', '4001283461bac478', 'f8d3ad05afe92b39', 'e44fa4f35c34ade1', 'ca230a6267bae1af', 'ad406792c81d375c', '982d31117b3d890d', '2815441dd194a10f', '117797aff27ab8c5', 'e075fac2336b3e3a', '7c420f81cb281475']; context = [[35, 90], [6, 50], [18, 75], [10, 64], [17, 78], [82, 142], [34, 98], [16, 68], [74, 141], [56, 122], [18, 80], [41, 91], [43, 94], [24, 62], [0, 38], [7, 72]]; loss = 0.008720 low_pass_filter = 0.300
+Epoch 0: | | 26099/? [4:56:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 26100; scene = ['930341b45d10af4f', 'cc1bcd4f8463b2ee', '33510e5a8e9d598c', '6f109232d9beb036', '26a01fb0e2976fc4', '9b1e8fe75dfee472', '65498b8de03a0b2d', 'bfadf9a64d247858', 'd3f9fbcfe7972afc', '90d70bc4c159efe2', 'e3bca018a714db69', '794a82e0519160c4', '893335afc78c8685', 'de665a63685bdac5', '817e228e9c74d745', '43e6289d0f0921a5']; context = [[21, 60], [102, 140], [96, 139], [12, 78], [33, 100], [7, 47], [11, 72], [21, 63], [7, 65], [3, 63], [86, 126], [22, 65], [39, 97], [58, 111], [4, 54], [21, 73]]; loss = 0.009910 low_pass_filter = 0.300
+Epoch 0: | | 26109/? [4:56:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26110; scene = ['25b956d02e19340b', '47e7899c39da449a', 'dfb5a9520914b47f', 'b94eb92c6c18432c', '1d1f6ff2bf5a761f', '48702ec12ae43a24', '30bb04e939f45d7f', 'b90177a3e1663c39', '17a44329e92629ae', '3c96b594dee5a035', 'a6cfed3142195b52', '1132a0c28fe8748c', '65c849d84d894291', '34c07d79a9633748', '272cc6bef39a7a8b', 'be52e70932f6dcdc']; context = [[35, 102], [0, 38], [18, 71], [2, 50], [126, 170], [69, 107], [91, 131], [23, 91], [42, 82], [125, 173], [53, 122], [98, 146], [99, 164], [13, 76], [59, 120], [55, 104]]; loss = 0.011236 low_pass_filter = 0.300
+Epoch 0: | | 26119/? [4:56:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26120; scene = ['1570ebe6dcc16039', '172fccf6211f3546', 'f5cbf62c5cd3d71c', 'e8721dd467df39d8', '99a53c7f37fe70ac', '2316b4d8d41df4e5', '89f73665ceef8f18', '7d7a8925c09d5f7c', 'a48775c747c10026', '8feb08cb2053860c', '3a49221a3776b5f9', '86835c317170bf20', 'c8bbc00311acd55c', '09df9e8df2a992b3', '85fe5f7406271038', 'fe389d965307b43e']; context = [[61, 115], [0, 40], [107, 176], [2, 57], [16, 84], [0, 44], [137, 176], [0, 39], [6, 48], [35, 77], [25, 70], [25, 77], [62, 109], [12, 79], [49, 89], [31, 83]]; loss = 0.010178 low_pass_filter = 0.300
+Epoch 0: | | 26129/? [4:56:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 26130; scene = ['4a08d8aa17ee55a3', 'abf952722816c296', '9d46e65b9edc9c15', '3a444379f8c5e5c0', '3fd549f7eef1c12b', '798ed35225d5c255', '2f709b926f593fcf', '5e7040c6384bdda7', 'fd36e02a115899ff', 'fd84675a5268e518', '7f5e74372632e88a', 'fdcc00c4d8310e3a', '16ba79e95f3f36fb', '4a119e4fdc155f25', '4dc1674146d1feb4', 'cee058b0da530229']; context = [[19, 65], [88, 152], [55, 101], [23, 86], [21, 77], [55, 102], [48, 90], [20, 67], [19, 89], [16, 59], [1, 61], [21, 78], [12, 72], [26, 92], [13, 66], [3, 62]]; loss = 0.010748 low_pass_filter = 0.300
+Epoch 0: | | 26139/? [4:57:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 26140; scene = ['ffe1d56896c0557c', '6603f8dfda7742a1', '2355e49417a42565', 'bdb99baf50a5625b', 'c83f4f9c4271aef6', 'a2d213e90836a280', '4c737af8dea45195', '30bad8b99b0649cc', '7941f38ede629d40', '4cb2eaf3ea088f25', '76f1f99b2f95a66c', 'bb76208880c43693', '228e3004c9ff58ed', '8930ee35316aaca6', '426790db8571d894', 'c34254b9239f4d5f']; context = [[195, 239], [220, 277], [92, 145], [4, 50], [37, 96], [67, 115], [2, 47], [91, 137], [52, 97], [127, 180], [0, 68], [26, 94], [45, 99], [8, 50], [83, 123], [17, 70]]; loss = 0.009089 low_pass_filter = 0.300
+Epoch 0: | | 26149/? [4:57:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 26150; scene = ['3ad7f1f843b2004d', '3f2e3a1c53cc15c7', 'b2ba2a9226ab5416', '244f5889c98e08d8', '21be445f191eadba', '0db524aed16843f5', '3c23f9c44d4156dd', '597d275f09b79f31', '334353cf397fda8a', '58579896a14a9718', '46cfe90be78f1b48', '39add666b4236924', 'b9d021ee08c7e2a3', '9746f30f65f4a89a', '4853d578da5d72f1', 'c61fa9582ea4c8f1']; context = [[65, 115], [30, 81], [3, 46], [34, 100], [12, 60], [38, 95], [15, 79], [70, 113], [206, 256], [67, 127], [102, 165], [78, 128], [14, 65], [15, 83], [24, 81], [68, 121]]; loss = 0.009917 low_pass_filter = 0.300
+Epoch 0: | | 26159/? [4:57:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 26160; scene = ['caf3f9635ae18219', '8ac3f80d10dab739', '8c6475f6a50ecf0b', '1d83d7e1067a9972', 'f8ae7a816be4c3c7', '9f1a754bc0ca1002', '181d724e8cff2234', 'fb6b9f1e874ffb31', '527d74c598ff7b6d', '8efc5fd1fbf4c924', '587bde63976c7658', 'dffc452274d7cc7e', '8df7f7cf4f43c4f1', '508e362a797583d5', '9408f88181096e42', 'ebad6e827d1b5253']; context = [[18, 80], [17, 71], [33, 100], [153, 210], [3, 71], [21, 68], [65, 114], [23, 89], [162, 224], [131, 170], [51, 100], [26, 75], [0, 41], [18, 67], [105, 150], [40, 85]]; loss = 0.010683 low_pass_filter = 0.300
+Epoch 0: | | 26169/? [4:57:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26170; scene = ['8705a0db1225c81b', 'e7df13eca6bc6264', 'ec25ff20b657f248', 'e95687cad1947692', '92db9837fec770fb', '5b459016ddb3ba57', 'd2cc54627797eb1c', 'ea0cd1a6ce3cb497', 'bf3d5a7c0eeb5398', '1112900e2462a9d6', '5f574a3f7e2bbed8', '8b3f52086b131151', 'a6377dfb4e94b6a5', '25b4a4bd7f750a5e', '3111579f1c9d5f28', '8d6d9857a57baee3']; context = [[116, 157], [32, 89], [34, 73], [3, 71], [14, 84], [1, 55], [20, 86], [47, 107], [161, 221], [157, 212], [9, 68], [40, 102], [9, 72], [191, 247], [139, 184], [38, 99]]; loss = 0.011364 low_pass_filter = 0.300
+Epoch 0: | | 26179/? [4:57:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 26180; scene = ['d0dbeb1f49cf3a94', 'a2c2b5dbef40f345', 'b8957b5a607ba2f2', 'bdcb6598be7b9526', '9c8d61c37c4bb315', '771c929fa8c4439e', 'f6f36f1a0e886abf', 'e6f0f9dc45e9f66e', '4ca12bb4344471f6', '9bc6d79bdd9830a6', '4684bfc4b6330cdd', 'bd7a0a337366b1ab', '61ea26e539098884', '53bb7687bdc3282a', '3ad2b21c6b95cf65', '1e66c5cad1710c51']; context = [[20, 59], [5, 61], [25, 73], [103, 144], [26, 69], [82, 141], [21, 64], [43, 88], [24, 63], [143, 196], [53, 99], [0, 40], [20, 58], [50, 116], [3, 45], [1, 40]]; loss = 0.009564 low_pass_filter = 0.300
+Epoch 0: | | 26189/? [4:57:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26190; scene = ['6c1376dcc17bb97e', '40df9f041d4c7858', '1921f0aa77d99890', 'af2a4edd9ee026e1', '14e19e579a9704ee', 'a91657eb1b53c0ee', '526a07ae78945335', '1d106e69248d9af1', '40786ebccb8aec35', 'fd5e487892a58781', '51bfd3ee5c473481', 'a522b097d56845a6', 'c4606cdb17012d6b', 'b85dcc204b980cf1', '2e2232e88140794a', '901ffe30eed014c5']; context = [[39, 82], [53, 123], [33, 75], [18, 81], [13, 82], [57, 103], [5, 53], [155, 223], [52, 95], [0, 46], [42, 107], [3, 44], [9, 69], [27, 85], [52, 112], [9, 56]]; loss = 0.009798 low_pass_filter = 0.300
+Epoch 0: | | 26199/? [4:57:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 26200; scene = ['b453ef05daffeeb4', '6875237676478d45', 'f7b09a6e87abb5e6', '4ca6ed1cf7349efd', '38c2f919e61f375e', '4c13c320c47ef017', '938865f6756c2301', '100c4c3fa1794647', 'ed074cd40dc33596', '1c124b91c6ee92a5', '8ec27dc882d87cab', 'e2128a609ff89c4b', '10624fc8f33d3a0a', 'dfe78eb63cd652e9', '9733a5e8b87112f8', '3576553305e59d4c']; context = [[114, 154], [59, 100], [7, 54], [196, 244], [5, 49], [10, 57], [50, 92], [16, 61], [71, 122], [191, 251], [61, 113], [7, 73], [51, 97], [211, 267], [108, 153], [48, 105]]; loss = 0.010218 low_pass_filter = 0.300
+Epoch 0: | | 26209/? [4:57:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 26210; scene = ['423eb47d1b1d1852', '0dc38ba8923b3ee2', '8e2bea65336df1a1', 'd1e110cd656b3afd', '3fd3e20cbc6e5f69', '844c3d41bb98e44b', 'ed0af93543c3d48e', '476be94e60c05524', '0ec0c59f014bd89f', 'bc3166518efe4e15', '34a2811c3db63211', '9b9ad1559f77042a', '61049a4bf21ec488', 'e8d6100917c31f4c', '6f0ca9deec239799', '2034e425e8ca8e68']; context = [[2, 65], [183, 245], [105, 168], [63, 123], [23, 69], [28, 91], [43, 86], [34, 97], [3, 41], [170, 228], [32, 72], [128, 178], [18, 74], [48, 91], [63, 128], [8, 67]]; loss = 0.013765 low_pass_filter = 0.300
+Epoch 0: | | 26219/? [4:57:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 26220; scene = ['a59032b47f1dfff0', 'cac84a71e48219aa', 'bfa48646aea12d4c', 'd0342267434bde9b', 'c44581acf8dd6c35', '1236365ec263ad76', '640dafc4b5a3d491', '1202c32d91ad3ee3', 'caa2624600dfa93f', '5e7dee438d1fcba6', '1adaf0a340d0e041', 'd8158d0ccceae891', 'eb2930c1a4b33a50', 'c3e7bc3a80c717b2', '61d56cc08c4036e7', 'c4c41548cbe80a57']; context = [[9, 63], [120, 187], [213, 274], [44, 99], [77, 133], [70, 129], [43, 81], [74, 118], [8, 64], [14, 82], [0, 55], [76, 117], [2, 46], [5, 45], [37, 79], [54, 116]]; loss = 0.012942 low_pass_filter = 0.300
+Epoch 0: | | 26229/? [4:58:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 26230; scene = ['51a634a44dc01dd4', 'f14721fab585c585', '4e87d89c2b4138cf', 'b0ae260af883656f', 'c8e171e498269ea3', '55e04e9b50ee3cd7', 'cfa2450736df61d1', 'a7285c6e5c20dfc2', 'b620dfaca7a37365', '310940bff3f06d17', '2ba97c65f2b6b12d', 'c91a840348807d57', '3d324e5e8a7790b5', '24502963bafe2fa5', 'ce93ee0eaca72e6b', '07486563a4a6767e']; context = [[48, 115], [3, 43], [0, 42], [20, 62], [27, 72], [40, 92], [15, 82], [54, 114], [46, 97], [53, 107], [3, 42], [23, 73], [75, 134], [147, 188], [55, 102], [16, 69]]; loss = 0.009457 low_pass_filter = 0.300
+Epoch 0: | | 26239/? [4:58:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 26240; scene = ['cf4f7a2e4420a67d', '5055bcc3bc958a3f', '0d094a1d96c9c1e5', 'ede5e00730594db7', '11323607c1d04845', 'a0da76d51b39f2d1', '77825008ac6c663b', '70e6dc2e07efc73a', '8f733bc506395644', '742beac7bb67515b', '2b38f48e832e8d20', 'ec16d4512645786d', '3cef0299f276cdad', '28020e268c1ba216', 'c4052755634f3314', '03c1440995e0347f']; context = [[0, 40], [162, 224], [31, 71], [118, 158], [0, 49], [7, 50], [155, 199], [8, 57], [47, 102], [5, 73], [34, 102], [164, 223], [40, 87], [166, 221], [21, 73], [7, 55]]; loss = 0.008431 low_pass_filter = 0.300
+Epoch 0: | | 26249/? [4:58:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26250; scene = ['db811a2460c4f9b5', '7adb81ef2778ad19', 'bdeaff855b8d4e90', '2650dfe1a0b7976a', '2a06d961049b4fe1', 'fe95b1b2cd2306fd', '79bdf6f1921b96da', '13af2a8a2acc6cb2', '6f8c7d10b8feadcf', '0854759c3f66028e', '083e06ea00de183b', 'db57f8c931011117', '7dfe5f26a43a1ec5', 'f546d4b7f1fad4fc', '7d3052b47a5d4cfa', 'ea05fe4dc21b53e6']; context = [[83, 146], [56, 115], [40, 105], [9, 56], [128, 190], [4, 73], [68, 117], [8, 51], [8, 48], [41, 106], [9, 64], [215, 270], [49, 94], [23, 82], [4, 57], [15, 55]]; loss = 0.010948 low_pass_filter = 0.300
+Epoch 0: | | 26259/? [4:58:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 26260; scene = ['5c4e65ef43430b11', '054ae374f61c2e5f', 'eeae726cfc0721fa', '85a0f956742534ed', '43e705210ed8541f', '4b697e58adeee999', '73c81edabd63774e', 'c79614eb3afc854a', 'a519a1c84e497e27', 'bb9f176934162282', 'ab7014fa0e77a4d6', 'bf586bc4ea216393', 'c2b41c1750f8d948', '52d53805a8557ee3', 'd57b42a6459958d7', 'f3d8bc3e3a2a6668']; context = [[53, 119], [53, 102], [1, 39], [4, 57], [2, 53], [86, 135], [1, 43], [8, 72], [51, 105], [3, 43], [141, 179], [120, 178], [16, 69], [13, 63], [37, 100], [3, 58]]; loss = 0.010237 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 26269/? [4:58:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 26270; scene = ['57282e8799c666da', 'c57f01070bc2b9ab', '386ce9aa95670300', '2d993758bc643a4f', '659413092374c91d', '09239525e5d87fd9', 'f40f4a376ef86065', 'ffbe808b19995226', '957356aca370c325', '69214171f3c09b70', '15ef2942e2e80f5f', '28511b9f2fdb1a1c', 'ca301930c8f2ed36', '2244f7dd2c91da2c', 'caf78660bbc1dbf2', '7c4d7ed47ae232ed']; context = [[102, 168], [23, 65], [21, 87], [108, 167], [13, 75], [21, 60], [36, 87], [4, 48], [6, 47], [49, 117], [54, 116], [15, 64], [81, 141], [137, 197], [0, 44], [63, 120]]; loss = 0.011257 low_pass_filter = 0.300
+Epoch 0: | | 26279/? [4:58:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26280; scene = ['f66bd7a84be8e9e9', 'f3e4e6fa5841ea0a', '4889794e0a6b1495', '60fb060caf4e0c64', 'f011ad5713613c52', '355fee8d8f60f8a0', '51c0bebabb18c410', '7515dca6e9b2660e', '19bda55893b8fe34', '93b947809d5bb994', '822b566d24b29fb8', '77cb8d2a58fcc095', '1d5e720fbd1a1938', '2afa66ba3b843b4e', 'f5ec2d727c316a10', '65e7cc46a70be3c6']; context = [[2, 54], [94, 141], [201, 253], [21, 83], [176, 214], [204, 258], [65, 105], [65, 103], [19, 87], [42, 82], [23, 75], [0, 69], [88, 127], [94, 137], [19, 72], [30, 80]]; loss = 0.008922 low_pass_filter = 0.300
+Epoch 0: | | 26289/? [4:58:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26290; scene = ['f51137376d99b7c0', '06664d17c613a563', '85d089291fa710c5', 'f0e3087ed60f8e68', '53e9f13ccdca849d', '551c02958152377c', 'e26035577b7e94b8', 'a514bcc8aced0356', '256bf843493c6450', 'e69fd4d779e61812', 'dd60a3647c0f9251', 'a884a290e94bf314', '1893323a19021d8e', 'af1312953ccd5886', '43dfb1a02857ba00', '4f336e4103d97389']; context = [[14, 79], [0, 70], [21, 68], [44, 99], [40, 96], [100, 161], [217, 269], [8, 53], [5, 69], [5, 60], [4, 62], [11, 53], [83, 134], [83, 149], [12, 73], [12, 76]]; loss = 0.009370 low_pass_filter = 0.300
+Epoch 0: | | 26299/? [4:59:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 26300; scene = ['743fd8885643d3aa', '6b54e3dd731cf914', 'b3aed54c0e53ca56', 'b08dd02f55c030c9', 'b31b65628bc2a5ad', '6b5f5aaea390ff12', '689a2285be81da67', '9b663c4f43cd593a', '010b84cc55023da5', '8f5d7d23fd6b1e82', '0f79891c783d6030', 'acdfcb7d73532ac6', 'b7306ac29446f137', '400376ce3228c125', '687e1775ba2acdd4', 'ff6d8a229199dbec']; context = [[72, 129], [51, 95], [160, 223], [125, 182], [59, 104], [8, 53], [1, 44], [16, 86], [55, 105], [84, 143], [2, 59], [18, 83], [28, 79], [84, 126], [8, 75], [11, 69]]; loss = 0.010439 low_pass_filter = 0.300
+Epoch 0: | | 26309/? [4:59:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 26310; scene = ['1b4fd4991b47bc6c', '496427e957357bbe', '722803657cfd20e9', 'b2ccc67dc6c32002', 'fb1ec62bc72d0af5', '06f2bf1a82198a46', 'a145cd9e7dfe9cb5', '5073d486cb7f3cd0', 'bd98a6e9beca8ce0', '9d5681ac698e7930', '0bf7fd35f239db86', '03e14075bd5a554f', '2d2d0f5f4ed37eee', '70ba8be172f1d209', '7a2d701dd0bf81cf', 'fff4b775cc7b0e4f']; context = [[42, 89], [29, 69], [41, 92], [2, 50], [15, 80], [8, 58], [20, 66], [3, 58], [2, 42], [16, 77], [118, 170], [3, 45], [12, 52], [17, 63], [6, 74], [2, 44]]; loss = 0.011638 low_pass_filter = 0.300
+Epoch 0: | | 26319/? [4:59:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 26320; scene = ['0db45743986b5100', '4a6092a27f74cb4e', '5189b82e134b6e70', '52ca0e96b0cca020', '8b4c5afff771fc3b', 'a376eeb2a6b48b9c', '48168fce6cb19de6', '38ce8373de250943', '366c23d4d72ed2c4', '49a5dd8a112fa073', 'eff3cec8a8ad0b19', 'f96e2330b2ce9910', 'e656d52bcb246c51', 'addde38c57090b86', 'c2b493a3f453b580', 'f6b4b22a93e98fdf']; context = [[35, 94], [34, 83], [229, 271], [220, 262], [1, 42], [9, 73], [94, 152], [3, 63], [28, 69], [6, 76], [51, 101], [65, 104], [20, 73], [9, 49], [40, 97], [2, 60]]; loss = 0.007679 low_pass_filter = 0.300
+Epoch 0: | | 26329/? [4:59:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26330; scene = ['610f1f1af8e1f55d', '941e0a0cb21e3c73', '4a06926761d6bb80', '7b93668d35de0c1c', '1d83954cc8a5837e', '07ffd9c3d6f843fc', '068fcb66dfca20b7', '0cbb43ca1e42ae27', '3d33b3e26cef331a', '013c246d246a1697', 'eb10805a2b162c35', 'c356f39d4a9b5f4f', '03ad20fc0aba70af', '33eed6607cbf07b1', '8401d56bc98ffd44', '0b84503d6c8ee95c']; context = [[3, 63], [93, 156], [41, 96], [1, 71], [180, 232], [198, 249], [10, 54], [5, 66], [208, 266], [30, 75], [6, 62], [50, 113], [157, 221], [184, 254], [5, 70], [0, 39]]; loss = 0.010262 low_pass_filter = 0.300
+Epoch 0: | | 26339/? [4:59:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 26340; scene = ['1817737ac6b18f45', '42209a96fb2db3c1', '41a5f2ec0c95a471', 'ec3000b33e02444a', '7df95d8d2d2933b7', '5906b1f53b8b266f', '971586ddd0d6a4c7', '43d042f674f94209', '17be26421f669650', '313cc78ecf6c53cf', '4b699d89d1a1353f', 'b7d197b74ecf0646', 'd79152894aa2c4b8', '61669d0878ba137c', '4fd852226711ffa9', 'a8e59959de741791']; context = [[81, 140], [173, 229], [7, 47], [10, 64], [42, 102], [142, 183], [13, 55], [0, 48], [28, 92], [10, 76], [3, 60], [46, 108], [22, 90], [5, 44], [70, 119], [4, 65]]; loss = 0.012421 low_pass_filter = 0.300
+Epoch 0: | | 26349/? [4:59:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 26350; scene = ['21f58dd661a17f08', '13cc7af9fa1c5b1e', 'be1f92c942aa1d9c', '1c6d5d3f3957f715', '0be7e9a8e6cca579', 'caa3a366a71a2bf9', 'f83523465592a970', '79fc8c8327fdd797', 'e9f4b008fc5b70c3', 'd67b9d78d72e8afb', '1d76c3d341a60952', '050adb5ab07ff381', 'ee47d21c4fe6fe7b', '6e9f0df7451bc842', 'a27e4ed0659b4710', '8ee6d91658f575f1']; context = [[114, 163], [50, 104], [4, 63], [60, 114], [1, 66], [0, 54], [219, 274], [138, 203], [21, 61], [19, 78], [105, 154], [12, 63], [199, 266], [1, 46], [197, 256], [47, 91]]; loss = 0.010245 low_pass_filter = 0.300
+Epoch 0: | | 26359/? [4:59:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 26360; scene = ['a8a9227f5d789eb5', '1881e13a88e87fc2', '1dab88f5a54ee41a', '0c3ad0e885ed9a31', '893115dd43a04a27', '7cbb764b7aa8a1d4', 'f51bd3c5d50335b9', '238a28384742ad6c', '1c0afb164be04052', '27943152644d42c2', '80df049a2df21988', 'e0ca058fbb73495e', 'd75bc06e3fc14333', '5817b7ccc056f135', '9b6abb583f61a99b', '2f799acf6bbfcf79']; context = [[38, 80], [83, 122], [36, 105], [210, 270], [49, 97], [113, 167], [4, 55], [34, 93], [67, 108], [32, 81], [31, 73], [20, 65], [3, 54], [44, 85], [90, 138], [0, 47]]; loss = 0.008254 low_pass_filter = 0.300
+Epoch 0: | | 26369/? [4:59:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 26370; scene = ['43df8b14b0450f89', 'b43dfc6680f84101', '4264fb9e606e7b41', '81f07dd22d17b17a', '43f8b70f4a7d39a8', 'f1aed96a3877dc93', 'e695acc618a0b3fb', '6efa62598fececd0', 'bb8df0200c9fa103', '524fb31ac3c4c6e3', '2e7ce89b626118f3', '6d2aae2a7dd35e14', 'a504d1dfa7beb5e1', '3b2a475a8d70e866', 'cf0bd6b91722d169', 'af16df876bd332c8']; context = [[2, 72], [114, 172], [32, 88], [16, 78], [110, 166], [4, 68], [183, 235], [207, 276], [6, 51], [15, 73], [0, 60], [22, 62], [23, 88], [141, 198], [25, 78], [23, 68]]; loss = 0.010945 low_pass_filter = 0.300
+Epoch 0: | | 26379/? [4:59:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 26380; scene = ['db40e459c8979778', '1629b949594b36b5', '4832765fde4b5c76', 'b285926ca059a521', '8ceccd568474348f', 'b9c0beab80c28377', '9ab83ba6f3dee716', '8f75ef614e485fb3', '45b743f9172c9d72', '6b12f7fc86a8ce4a', '098085673ae3b8f9', 'c61da3d71ad8e0f9', 'e2782c697c307b5c', '99560b8c97c4866f', 'bced85140b42b6fb', '83b6c9f023f5e600']; context = [[20, 76], [4, 60], [46, 96], [43, 113], [52, 100], [6, 62], [16, 68], [2, 64], [17, 76], [46, 89], [26, 83], [55, 95], [22, 71], [11, 72], [55, 122], [87, 138]]; loss = 0.009891 low_pass_filter = 0.300
+Epoch 0: | | 26389/? [5:00:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 26390; scene = ['06e13bbcd45d9b41', '95a0d597cde1605b', 'c8c8ce39dc4c58d0', '654d07e5521de19e', 'bd38fbc45309fee4', 'eaee1f77f3e4646b', '987e3822942e5a91', '19a84a67a3a07e70', '28666c8512c4c8a4', '6b19a5bb419f101f', '31dbaa019cefe1aa', 'a967ab2ced4b1bc4', 'b36dcd3f5bc7a4eb', '4d35d640d775aea7', '0402b44b67cb86aa', '342c039d30a72ede']; context = [[6, 63], [105, 175], [30, 99], [51, 93], [31, 88], [49, 116], [22, 67], [0, 69], [85, 148], [3, 63], [28, 87], [48, 89], [2, 64], [8, 76], [68, 112], [25, 88]]; loss = 0.013423 low_pass_filter = 0.300
+Epoch 0: | | 26399/? [5:00:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 26400; scene = ['36207c22e4ef1437', '9ac3a25890d1c066', 'd3d8f60e4ba32fae', 'd75bee1cfe6eb53f', 'b63a129577a096a2', '5ab3d7a64b47ab52', 'dc068443ff649ed5', '23e13fe2f959531e', 'f318c630d079b064', 'd345268172e5732e', '88655ea7f5e7e420', 'ef2a5bf375f9eda6', '481956b576e9c042', 'ddff7ff1e6732648', 'df864e287334d755', '7e933251d5484bf9']; context = [[87, 127], [3, 48], [19, 70], [11, 81], [32, 73], [66, 109], [18, 77], [38, 98], [0, 53], [38, 107], [71, 132], [168, 223], [77, 133], [93, 161], [212, 252], [32, 82]]; loss = 0.010967 low_pass_filter = 0.300
+Epoch 0: | | 26409/? [5:00:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 26410; scene = ['fc8c7cb71ebb4a8a', 'c5d5fa62ef778af7', '953fd237501e5b53', 'e8a8f9f332e58578', '9c991649a1e92906', 'f4b8e03f8512d2d2', '5a1280620a5668fd', '061dc96802b19add', '8246780079add2ad', 'a551cf6503324ab8', 'b889e10f246936aa', '6aba476ffd0b4320', '4d1ef055f0d5854e', '9815cb01a1e2e684', '558b37c5013253a5', '2a9513554c6c7a29']; context = [[114, 183], [13, 59], [3, 48], [195, 247], [0, 57], [55, 94], [17, 64], [3, 60], [42, 101], [3, 45], [212, 277], [59, 99], [93, 149], [42, 83], [11, 61], [64, 111]]; loss = 0.009406 low_pass_filter = 0.300
+Epoch 0: | | 26419/? [5:00:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 26420; scene = ['082ba86063ee7e6f', '41868518745c4b75', '22d8382cf0164976', 'bf9a4b1f7627c273', 'fb56af60d6f44825', 'dcfbbd4796e0d887', 'fc15fd0a7d1bd1b2', '0c30cc66e004912a', '32449d5801444b95', 'ac04b9c416792d26', '4b6452c634b79f57', '2b9a91ff3b76ac1f', '7e6e62f4d393df44', 'f20f2c66b7cfb222', '485e3ebc5ef46c4f', 'c1b5d15e2f52afc4']; context = [[192, 258], [58, 126], [17, 76], [17, 81], [74, 140], [2, 64], [12, 77], [7, 77], [2, 67], [15, 66], [8, 56], [157, 227], [49, 118], [40, 104], [4, 44], [1, 55]]; loss = 0.011408 low_pass_filter = 0.300
+Epoch 0: | | 26429/? [5:00:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 26430; scene = ['eede269444f4bead', '43f8abb298e24592', '130f4012951a6f3c', '9ff158208cde959b', 'e4a04ce635b099dc', 'd349326e60a609fb', '35adc3690881195b', 'dd3f404dd28793c0', 'efa95ac103434193', '28be161d37f468d0', 'ba9f28692c62d379', '081198dc5e02cbb4', '856bb1da2f10d78c', '3b9e4746198f5f87', '05811acb5942dc8a', '00f0397d5f6a855e']; context = [[125, 166], [5, 64], [165, 232], [22, 62], [43, 85], [78, 127], [54, 117], [2, 68], [31, 78], [84, 131], [35, 89], [1, 51], [1, 62], [2, 48], [180, 248], [103, 159]]; loss = 0.009368 low_pass_filter = 0.300
+Epoch 0: | | 26439/? [5:00:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26440; scene = ['b69a6176ca73bb80', '9164e11049261164', '3d815e82280adf55', '82287431217a5884', '99e60f10e4d0acb3', '962bb93ece5a86c7', 'e81ad0d1b43649ef', '41c72cd693116118', 'a6231e1d75daab63', 'ba76ae55718c204b', '654b984035c8e861', '09c8aab6df495141', 'e14f4c7e2b5bf74a', '0e361cd3050f0a1b', '4fa5b973a37f2ed4', 'a020f3293839f1a5']; context = [[15, 85], [22, 78], [23, 85], [52, 108], [162, 224], [7, 52], [132, 173], [30, 81], [55, 108], [13, 77], [3, 69], [2, 43], [18, 73], [0, 40], [5, 62], [65, 133]]; loss = 0.011878 low_pass_filter = 0.300
+Epoch 0: | | 26449/? [5:00:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 26450; scene = ['de4c1e33bb129308', 'a4a364baa7187169', 'c8c4201109bc6d8c', 'e5ff694aee468c12', '7f09d838fe8e8933', 'b1b2d569f690ce97', '373094b17ae8455e', 'd275b7f5d283f816', 'c1dbe882bf1718bd', 'db4ff231d9dab8ba', 'fa4316f495944216', '85e3d37d8d19004b', '50feecd89278780d', 'e5fcd9490d306b0d', '404a47d74c89b6a0', '3a20e5e7dffd7be2']; context = [[18, 57], [226, 275], [40, 106], [31, 85], [0, 57], [23, 81], [14, 59], [18, 68], [64, 109], [0, 60], [7, 75], [16, 71], [12, 68], [17, 65], [10, 69], [188, 228]]; loss = 0.011287 low_pass_filter = 0.300
+Epoch 0: | | 26459/? [5:00:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 26460; scene = ['15878c2f09b31224', '7d28e8894f6dbb1d', 'fe783058309b4d12', 'b28521f1b8c1cb4f', 'd4bae90de6509e7f', '8c6bba80f9684632', '9ca4f73505c058bc', '49c6f4b5390d3884', '313953db49c7e137', '2cfb86733da669f1', '626899ad1d3d7192', '148b63d9d88a8e82', '831a3db60fc18f27', '34bc5f17b90c33d8', 'e22cb2bd60105620', 'aceb9b9af0f6ee12']; context = [[132, 175], [91, 134], [5, 48], [11, 51], [68, 117], [3, 67], [8, 60], [114, 164], [60, 120], [32, 78], [20, 80], [0, 45], [3, 46], [25, 90], [71, 115], [1, 46]]; loss = 0.010934 low_pass_filter = 0.300
+Epoch 0: | | 26469/? [5:00:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26470; scene = ['2c7eeeabd8741a8b', 'e8ab766619331d3b', '3664b674b6366549', '54d0b9c20694ae47', '2c4ec7127111bce1', 'd8a5d7ed2df85474', 'e8164998fa4d92a3', '60d80d50cc0bce1b', '119c24c05102a5b5', 'fb215dfa4249d979', 'f5a4588213a5cdfa', 'acd2ed932e21f625', 'a6e4e5e1b5d1539d', '527a2de7a08dfc20', '22e44c9efb4ac335', 'f272bac50c6f6f32']; context = [[15, 73], [0, 56], [134, 193], [18, 58], [10, 60], [25, 64], [117, 167], [15, 72], [20, 59], [90, 135], [4, 43], [0, 55], [7, 71], [5, 60], [1, 49], [7, 62]]; loss = 0.009019 low_pass_filter = 0.300
+Epoch 0: | | 26479/? [5:01:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 26480; scene = ['b9d5a15eacb4c724', '4e99ce8dc4d1064e', '346e62ad09069013', 'a1fad01a8c249fd3', '6fc73551f1244422', '1e543f770095bd2f', '59220df676c7b430', 'f67681804659fb89', '1546d04a6b9feb92', '46aec7ec241892c7', 'b9d744bbfbf05528', 'b511c88b16643809', '09adc9c073dcc81f', 'f760b9c83e882756', 'f9cc10023bf41280', 'a80f9fb86b6b84c3']; context = [[0, 40], [20, 60], [142, 187], [87, 144], [21, 61], [26, 68], [41, 88], [23, 84], [50, 90], [28, 76], [8, 51], [0, 48], [2, 47], [4, 44], [9, 59], [111, 163]]; loss = 0.008591 low_pass_filter = 0.300
+Epoch 0: | | 26489/? [5:01:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 26490; scene = ['c82d650fe5734c85', 'c5ed8ec466ba90ae', 'c56ff3fa210c1457', '32f43866ffda7f8c', '2b36d6197e8ad551', '047e7dfc69533d85', 'f279ee0ac940c8f9', 'f6ed403d51c084b2', 'f04708b15586fceb', '09f5ce489b61a6cc', 'e94399e61cdc8ee7', 'd23c63fc810f3d43', 'c3f121951504f029', '6a2b388246b639d3', '0fa85c737e39a16b', 'a79878c670ca903f']; context = [[25, 65], [139, 192], [28, 96], [23, 80], [17, 70], [28, 68], [15, 85], [28, 81], [23, 86], [18, 61], [10, 60], [2, 49], [81, 123], [17, 82], [124, 168], [27, 83]]; loss = 0.010916 low_pass_filter = 0.300
+Epoch 0: | | 26499/? [5:01:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26500; scene = ['a5a9ea8d2ec80fa5', '1e70d59cdc2296d9', 'ec938727ca124155', '6b00d03a245eed96', '8ddca90ddef969af', '5c1dd2301e22374e', '72b3e2dda6cd3afc', 'e38274129f29ce92', '487dec4b7b2ebd90', 'aa5affe1e69017b1', '37bab43436b959b8', '367a22812a39d7f3', '0acb50de3333ba56', '8d88417d149343a3', 'c778e8ffb973ff2f', '1c24110d82ca7fda']; context = [[38, 84], [48, 115], [22, 68], [4, 49], [144, 190], [6, 51], [118, 175], [1, 52], [51, 113], [146, 188], [167, 207], [159, 199], [171, 211], [33, 76], [72, 129], [37, 106]]; loss = 0.010476 low_pass_filter = 0.300
+Epoch 0: | | 26509/? [5:01:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 26510; scene = ['861308ba77c9244e', 'eeb054ee23310531', '1d7eaf00094f2017', '46564aa3cafd9354', '6f8cce689756a07d', '47c387efbac50758', '2088ec79cded5c6f', 'd48d56679e4ef811', 'b87faab6a8ba27a7', 'e361cc2d6ff1dcbf', '0c6042e9899a2e96', 'f896f057f530ebce', '3ceae7bf233b07e1', 'd3b0bdaf452577d0', 'c2e363674f808d28', '62aee613a1a82b79']; context = [[0, 53], [3, 66], [135, 174], [17, 61], [31, 82], [23, 78], [104, 143], [20, 79], [2, 52], [51, 121], [66, 126], [85, 127], [28, 69], [57, 115], [35, 105], [170, 217]]; loss = 0.012094 low_pass_filter = 0.300
+Epoch 0: | | 26519/? [5:01:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 26520; scene = ['8aa1d2417ba6be10', '99165d98e0be439a', '32067753f8e8d4e0', '51871f23bb65dd5f', '680269475a3d39bd', 'd3cd37f926d8a6ed', '96505316a4f6a36e', 'a28cbb1b7942618b', '851c56423e13bfa1', 'a992c9caf06a70b5', '3d5aba046f430460', '35b175d2b24bbb7b', '7c1ed1fd5eb3d2a3', '78c6a6ee640ddd5d', 'f3fd994a22e6fca7', 'f12f15a49d26e3cf']; context = [[11, 77], [2, 60], [91, 158], [23, 84], [46, 112], [93, 135], [23, 77], [98, 147], [86, 146], [26, 76], [59, 119], [140, 182], [25, 67], [1, 61], [12, 68], [173, 239]]; loss = 0.010099 low_pass_filter = 0.300
+Epoch 0: | | 26529/? [5:01:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 26530; scene = ['e101281055858415', 'de96cee44a164178', '2e13acc64828de67', 'e71b3880b9c83ebb', '15ad28d8b49e49d5', '70db603854f2299a', 'c0f2f342a213de80', '69527b537b77e803', '6bf7ab3fde3c1c14', '58de4f6887b1c21b', '3c6e138710fa52e1', '0a6608f992d052c9', 'c1cad7540b667a53', '6adb937f72020aa9', 'ace3b09a2a2be08b', 'e5036ebafb2c7a4f']; context = [[1, 52], [39, 106], [17, 62], [11, 74], [14, 84], [10, 75], [5, 72], [86, 155], [175, 220], [50, 101], [6, 75], [77, 145], [63, 119], [3, 69], [214, 274], [3, 48]]; loss = 0.011364 low_pass_filter = 0.300
+Epoch 0: | | 26539/? [5:01:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 26540; scene = ['1caedcb062e1b3de', '8ac078c9df050ea5', 'b49c16ee8cd0a9c5', 'd02f4746a46976f3', '0db328ffc64402f3', 'c04b6ad2b52356b7', 'c666100576cb730c', '8ef5f29044553f72', '34dc84e620c09247', '4313fad787b8a322', 'baa3d02c60811eb2', '419eb6d22093c07f', 'c0626c14cc473106', 'dc93234e747d0007', '97374b1ae774d836', 'e76f65b738b1ee97']; context = [[106, 171], [26, 94], [116, 156], [17, 61], [2, 63], [48, 118], [0, 60], [204, 257], [44, 108], [177, 216], [46, 91], [2, 67], [50, 104], [40, 88], [0, 40], [51, 108]]; loss = 0.011040 low_pass_filter = 0.300
+Epoch 0: | | 26549/? [5:01:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26550; scene = ['70a20d40c095d870', 'c66103cf29564bcb', '81fd78f84209f2e1', 'f70ae846db4fddda', 'a622560296708d3d', '754a52ce12b77483', '41b80c5fb43019e5', 'dbdde58cc9737f08', '8c710017b7fa073b', 'bef206c32ad4b41b', '3c15b2ce08b4d3eb', 'b340e019a793df93', '53140bcec95f837d', 'bbe174f58efa95da', 'f62a96c564a818d4', '99d7f418edf306fc']; context = [[187, 232], [26, 68], [7, 67], [35, 76], [148, 196], [5, 57], [86, 142], [0, 49], [73, 133], [17, 81], [45, 91], [12, 51], [10, 57], [50, 89], [30, 97], [34, 83]]; loss = 0.008460 low_pass_filter = 0.300
+Epoch 0: | | 26559/? [5:02:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 26560; scene = ['6c57ac55cbade318', '1ec41f3828e1065e', '826f1e427bcb4f78', 'db2911d71cd2d389', 'abda7c79ca34c2f8', '564f2112de1a31e6', 'a308376472392fc6', '2598b88b7b7d2119', '5aad4a21ce37e53e', 'b41d3898f57085e3', 'f2814d17062330d1', 'ce4fa27b4ee5955b', '1182579e7ca4ef88', 'c38816ffe6b2c633', '5bf1d42524c02fb8', 'b8e91cbe57d886af']; context = [[11, 51], [5, 61], [20, 61], [44, 86], [1, 42], [23, 72], [3, 67], [0, 55], [3, 42], [142, 198], [0, 62], [10, 66], [0, 70], [83, 136], [94, 163], [48, 97]]; loss = 0.010725 low_pass_filter = 0.300
+Epoch 0: | | 26569/? [5:02:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26570; scene = ['f7ae6d44685f3937', '720c20829e8facbc', '93138f88c119600b', 'b11c5d0cd9af5712', 'd7d1fe25faac6ce6', '0a6d4b1cf8a5128b', 'b04c0ee3b1119c4d', '1dab88f5a54ee41a', '7cbb764b7aa8a1d4', '0764e2aef8878016', 'a8a9227f5d789eb5', 'ec44c38dfa1244f4', '893115dd43a04a27', '45c8efa45012ba79', '1881e13a88e87fc2', '0c3ad0e885ed9a31']; context = [[66, 116], [34, 92], [60, 99], [22, 79], [95, 136], [2, 57], [25, 88], [36, 95], [98, 168], [17, 87], [25, 76], [74, 127], [23, 86], [70, 130], [155, 195], [10, 55]]; loss = 0.009000 low_pass_filter = 0.300
+Epoch 0: | | 26579/? [5:02:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 26580; scene = ['d8749c1963646f9c', '598e1195b077412b', 'e119a30983701677', '42057c3b83ab615d', 'e9c0162d3318fc71', '026586cd63f93693', '5f2d5d51a4b7c17d', 'f0d4d5d4b6b0d990', 'e1e6efd63e4c05df', '40492a9187bb4c2c', '98d0bc07e597d5b4', 'e0c6d65300fd0eca', 'f65b0f1c85220945', '86aea91ce8ac07c6', 'ac65b15a2ffa472a', 'ba81a709a3ccbf60']; context = [[6, 51], [35, 81], [225, 273], [14, 58], [21, 85], [74, 131], [5, 66], [7, 64], [15, 64], [48, 101], [50, 101], [2, 50], [141, 190], [28, 69], [146, 196], [33, 99]]; loss = 0.008398 low_pass_filter = 0.300
+Epoch 0: | | 26589/? [5:02:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 26590; scene = ['85ee0fc26f209eac', '767a02e7d26e071f', '2b607188b335e0ad', '56f0d70786d99f4e', '4ae568405ba121e6', '3914c72798afbf55', '4f626955e18d7e9c', 'da7bc556e451a90b', '11b228589e3142d8', 'e4101f73c4a93ba7', '351d1ccd07acca8f', '39357cec4dfde0c4', 'd887ff15fda99b2e', '26bbe9550ed68e33', '2eb7997ba431e752', 'd541f6cd1d92cd56']; context = [[10, 73], [41, 93], [11, 75], [13, 61], [7, 56], [21, 88], [43, 82], [122, 161], [98, 138], [13, 72], [20, 86], [4, 54], [22, 85], [3, 45], [8, 75], [59, 114]]; loss = 0.010973 low_pass_filter = 0.300
+Epoch 0: | | 26599/? [5:02:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 26600; scene = ['f964748aa07c1b15', '3dcfa33d00232112', 'c6b42d6e8cebec2f', '854a9ae4c223179a', '1ed3d0dda9649020', 'c03bb717234e2031', 'af2748330e5243d0', '08c26703c4987851', '4012c15c8381568b', '1e7c432d2207b6f2', '6c194892817e9e11', 'a3f4af0fb099f284', '024a0070a97b88f1', '7f60555b6995c522', '6b549d67d37b3d6a', 'ff5a148b852949ec']; context = [[32, 103], [23, 64], [82, 144], [105, 151], [70, 117], [72, 134], [1, 42], [36, 86], [0, 54], [177, 233], [3, 55], [9, 66], [212, 254], [3, 51], [205, 252], [92, 132]]; loss = 0.011976 low_pass_filter = 0.300
+Epoch 0: | | 26609/? [5:02:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 26610; scene = ['df3bee9f003d29e3', '147e4f3e5f03f3d4', 'edb4dc387938a7d6', 'b343ee38d1af9b62', 'ff9d298f6b015e8e', '3a83bdc14c1cb16f', 'afc958b085aa7602', '717fbe8af3bedede', 'ecfedff3029cdf60', '819929ad0c9c6d80', 'a64b425ddfd876fd', '9a9370073a9e5750', 'dbfe9a4ee42840da', '541c76823a60ff80', '8953b5375b36fc16', 'da887eb3ac647f2c']; context = [[24, 90], [46, 86], [28, 80], [2, 54], [26, 91], [204, 247], [116, 159], [3, 74], [10, 54], [56, 99], [45, 102], [46, 91], [63, 107], [7, 74], [26, 75], [42, 93]]; loss = 0.010282 low_pass_filter = 0.300
+Epoch 0: | | 26619/? [5:02:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 26620; scene = ['d2bd3a3f16cea877', '46ea38e907a53781', 'b4e19294cf3e2116', '53907ac8b877a09e', '392052b37ba1b434', '6a3f470f8e9d66a9', '35c70af801116b59', '25129a03cfd7700b', 'd4cbeb25474a17b7', '8026620adc8bbca9', '66e9daa327eebd81', '14786c16a13c740a', '600f5072f9d48334', 'c9c5b6a222e95638', '3e4cf3c544701784', '87b0132f747a2e25']; context = [[0, 50], [6, 52], [106, 176], [21, 64], [37, 78], [27, 79], [12, 80], [137, 189], [121, 174], [5, 76], [8, 74], [1, 40], [160, 211], [4, 51], [61, 108], [1, 40]]; loss = 0.009356 low_pass_filter = 0.300
+Epoch 0: | | 26629/? [5:02:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 26630; scene = ['bea76b365cfd8732', '5c897627e7315321', '809e84770217b1e2', '941e22b32cfce42d', '837e804bcacc64f1', '86910ce80efddc7c', '84387f9cdb2f58e9', 'b0e2bc7d90dacd8a', 'a5daf8a4e91768c9', '5f45009e253dee25', 'ea52d60b5bdd8bdd', '7d581977d99bd0c5', '74603372c8f823e9', 'e350d82558087b1a', '8106401c3015f193', '1219a58b37007b1a']; context = [[1, 62], [91, 134], [36, 79], [42, 94], [48, 101], [14, 61], [1, 57], [9, 56], [0, 45], [48, 97], [31, 78], [191, 232], [48, 119], [120, 175], [86, 136], [54, 100]]; loss = 0.010199 low_pass_filter = 0.300
+Epoch 0: | | 26639/? [5:02:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 26640; scene = ['70a1d752911d5737', 'a3e92af759c636f5', '7a8f01d36193f7e3', '65cbe8017ca02d87', '5c37d130e734c913', '9a190c4a5a01bc9d', '49b0f26fa937033a', '0df03aecb95f42b0', '4e569131094e71b1', '11b68ddc34409767', '7321187b3f37253f', '9ded63a7543cee38', 'b5ca8a726d6cda0b', '007525d507d7a6c1', 'a75e6b309a152f53', '492493bffac6c656']; context = [[3, 53], [61, 128], [2, 68], [39, 84], [9, 59], [0, 50], [104, 170], [94, 165], [7, 50], [27, 73], [3, 59], [20, 73], [132, 200], [42, 89], [7, 57], [4, 67]]; loss = 0.012389 low_pass_filter = 0.300
+Epoch 0: | | 26649/? [5:03:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 26650; scene = ['1ad7adae6a042ce1', '25606b1d6b79c3a5', '6dee6f17569583fc', '3151e48717cc2a77', '5893ecb5ca418955', '45ec2121ecfbcaea', '6b8bf7759c041d98', '84527525b4595fb5', '3233932b0505b21d', '99ad6a316ad09fcd', 'a8fff68fe7aa2307', '6ac0b7a065316488', 'a33d9028e55e03dd', '13172460199656f2', 'cc603826edc4a0f3', '10ee3c037e33a6fd']; context = [[7, 52], [14, 75], [51, 107], [1, 68], [14, 59], [57, 101], [73, 130], [0, 58], [17, 83], [11, 56], [100, 156], [16, 58], [64, 103], [23, 64], [146, 188], [13, 81]]; loss = 0.012433 low_pass_filter = 0.300
+Epoch 0: | | 26659/? [5:03:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 26660; scene = ['52a4f713b01a5a58', '26082fc7b0489437', '4e4199248d302a7d', '56660fe55435e0f3', '7a2ebd077df75740', '21a23abebca8c840', 'c2867dde9ccb0b7a', '3f73de068d60f46c', '2ac22d87de85c86f', 'be52e70932f6dcdc', '272cc6bef39a7a8b', '65c849d84d894291', '4358da4c0ee3c011', '1132a0c28fe8748c', '3c8f85253323337e', 'b90177a3e1663c39']; context = [[0, 64], [6, 52], [74, 127], [30, 100], [43, 85], [13, 79], [4, 53], [10, 70], [14, 62], [5, 62], [24, 68], [102, 170], [0, 50], [46, 109], [37, 104], [35, 88]]; loss = 0.011490 low_pass_filter = 0.300
+Epoch 0: | | 26669/? [5:03:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 26670; scene = ['64d29c9ab21dc5fe', '7e709a5a25a8425c', '505b2853be7ed669', 'a5a0d76dc3b7a922', '74e7377fc43b97be', '8c6fb91929e99876', '22d073042c55630a', '46d5053d66888c5c', 'bf640a5c37820405', '8a6c4732fb05ac7f', '4e2cb10509f33a7a', 'b39bc91f8f5833c4', 'b69e75125d8bc0a7', '2311c3ae85db4137', '511c2e6527e14026', 'fe1e93a2224e2631']; context = [[5, 57], [84, 142], [33, 74], [18, 69], [11, 70], [59, 128], [41, 84], [16, 59], [3, 43], [30, 69], [17, 87], [15, 84], [195, 264], [47, 106], [39, 78], [178, 241]]; loss = 0.009827 low_pass_filter = 0.300
+Epoch 0: | | 26679/? [5:03:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 26680; scene = ['4c326f63354ed371', 'c62b22de6a7495be', 'bcd63850409a4c42', '094724dd912fed9c', '0636f8d5854771ca', 'ea4146e3386ff1ac', '5b9edc356515b2c4', '0684c9b9769fccdf', 'c7462f6b97947601', 'b0d64c8ba50c5946', '0be9edb1ba9bf557', 'a8c6d043e6dfd3a0', '0ba8a59b524ec188', 'f70d8dc3f5ba58dc', 'e4832b64e5b73784', 'bdeef24748055bce']; context = [[132, 182], [21, 70], [24, 92], [6, 51], [3, 62], [0, 45], [80, 144], [6, 67], [0, 43], [10, 51], [111, 169], [6, 51], [17, 70], [8, 65], [17, 76], [48, 94]]; loss = 0.009737 low_pass_filter = 0.300
+Epoch 0: | | 26689/? [5:03:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 26690; scene = ['b95b3eaa30433e5c', 'a68c32d1761e60d7', '5e826e568765c8db', 'c4764957e63aee28', 'b470cec1e8640934', '735c5bb9d90c74c7', '7039734be2f00317', '1374f1c247f796e1', 'd1b9a1b70474466f', '5f0a8cfefdaaedcc', 'fc68db62b98934af', '51d0544fae56e467', '2e770da39beca629', '1d81f59588ab98f5', 'd0a703be7fbaa9db', '8c67d77a1f9a6b14']; context = [[3, 45], [61, 105], [135, 187], [7, 54], [83, 138], [13, 77], [25, 82], [153, 208], [10, 61], [146, 189], [23, 83], [218, 278], [28, 93], [11, 59], [35, 96], [34, 81]]; loss = 0.009737 low_pass_filter = 0.300
+Epoch 0: | | 26699/? [5:03:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 26700; scene = ['8f0bd4d4604a34e2', '531b7ab2cf0e66ee', 'd3ca344963813725', 'c3ff07c86676bdb7', 'b0549ee3eba090e5', '3deda316f214ee89', '95b01cb52bd48070', '65d87e8dba045395', '443f21df464db8cf', '50bb0587e8b1924a', 'a5ab3c04cadb399b', 'c33b9080e273000c', '3909231098c2f263', 'c202eebff41099ba', 'a230308a0397ec12', '0e4dc00fb343099c']; context = [[10, 70], [108, 175], [5, 58], [4, 50], [15, 82], [200, 261], [12, 75], [5, 68], [108, 154], [3, 52], [66, 122], [5, 62], [15, 64], [0, 43], [39, 96], [95, 160]]; loss = 0.012459 low_pass_filter = 0.300
+Epoch 0: | | 26709/? [5:03:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 26710; scene = ['c2cb3f434cb54496', 'e8f5349d18840614', '83e89ce8743d173f', 'd28b6907c373ceb4', '817e115884ba88aa', 'a19258a9ec8e067d', '1a4236953ed9e598', 'ea1914f59482039b', 'd71bedd45d2622eb', '53b329172b71e22e', '488f39c1a5278615', '8c6f7e59d3af0de8', '23f0e816937d2f10', '87e0cb1574aa4288', 'c725b2fd03d22b0d', '29e0312194a1f641']; context = [[96, 160], [39, 92], [69, 110], [0, 60], [25, 67], [33, 81], [10, 60], [91, 131], [1, 69], [24, 89], [121, 183], [152, 191], [12, 61], [19, 70], [33, 100], [10, 73]]; loss = 0.011085 low_pass_filter = 0.300
+Epoch 0: | | 26719/? [5:03:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 26720; scene = ['f5e28bbf33d46b67', '29f5e25974505939', '0a01630c946fc97e', '09c9b2d6546febe2', 'e9b1b085ebc4f705', '2177800a0b750724', 'c56beb2f0710b904', '78d3fa13abfd11af', '737a939bb47f737e', '816e80127f6e5599', '0730aaeac779e0c5', 'dea7d3794406a934', '1bfe50354dad5232', 'a0b1e9da3ec78a5b', '1cea9c18977c2f8d', '19d0c0cef05ae996']; context = [[1, 66], [0, 41], [36, 78], [122, 170], [63, 109], [27, 88], [35, 97], [0, 39], [71, 134], [1, 58], [28, 96], [9, 61], [15, 62], [18, 63], [13, 57], [112, 156]]; loss = 0.009725 low_pass_filter = 0.300
+Epoch 0: | | 26729/? [5:03:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 26730; scene = ['863466beea29e2c8', 'd56cf1bb0dfd5d92', '824d9b0d6b801096', 'c24e64f5e8aff40d', 'e0c06d9954d16a41', '230fbab2e597be11', 'dcdf61bc56f26a25', '3ff92767e37eb62f', '227bf499869cf372', 'e7bc75049b58cf7f', '4e4314a00227ed83', '3ecc9dbeec2451f0', '97c0e17033d685ba', 'a6d8c29cc124ba06', 'ea4e8db997cafe5d', 'b7f11264f90f9fdf']; context = [[170, 214], [41, 88], [95, 146], [110, 155], [1, 49], [13, 72], [88, 139], [94, 136], [22, 63], [36, 79], [33, 77], [20, 77], [24, 69], [8, 60], [116, 176], [3, 44]]; loss = 0.011395 low_pass_filter = 0.300
+Epoch 0: | | 26739/? [5:04:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 26740; scene = ['0de4e1d6b188215d', 'b9e81e1ba5472560', 'd09259776759df85', '5f70f2502a815d4e', '456580073fef681e', '1b5aebb31dd24255', '75fed782416a53f7', '774f9004411d149c', 'f0d2bd621012431f', '94f19a13fb2a5171', '9e01fa07e911197d', 'dce3791efbb4453e', '94c24998ecc23097', '685f8dbbf5c8f207', 'f784e04c9e814dce', '6cc87d3f3948183e']; context = [[4, 58], [42, 96], [5, 61], [9, 59], [50, 103], [8, 66], [30, 70], [34, 73], [1, 50], [74, 132], [12, 55], [25, 78], [12, 68], [46, 96], [5, 53], [157, 214]]; loss = 0.008032 low_pass_filter = 0.300
+Epoch 0: | | 26749/? [5:04:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 26750; scene = ['bbaf39151b2da748', '8611ede4ab1a5aba', '86f694603e158bb4', 'baa5664b5ea5348e', '212f736c5bd2cba5', 'e658243703c9a718', 'ca31f5df8294e2ef', '34ba90ddf627908b', 'f49334b723f7ee98', '5dd1c7fc822c0b3f', '85e1e791eaaaf4a9', '1ccbb12d8c77d39d', '0afb709aed993f16', '8d5bf196c1679c4a', 'ca5b908968b3a4f8', '5b1b31d1fc116fe6']; context = [[16, 77], [0, 41], [89, 139], [0, 43], [54, 114], [76, 143], [67, 120], [8, 70], [9, 65], [1, 44], [64, 127], [115, 156], [11, 61], [51, 106], [36, 80], [187, 237]]; loss = 0.008912 low_pass_filter = 0.300
+Epoch 0: | | 26759/? [5:04:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 26760; scene = ['6367621669609044', '1ca1b079e35f6300', '32210c6de62895a0', 'ceaaf2511b34ff0b', '5d0bf881b352e015', 'e165257746685417', 'b5eaddf4ac5c6f62', 'cbf08a650761cb10', '293cd4ea27b9d506', '4b1ee57bdbda4b1f', '4c206a668c76614a', 'c7844a02eecf3a20', 'd3e34d281b05cfbd', '57fea3ba60e21f7b', 'a90e228525bff876', '88caa929eb27afd9']; context = [[88, 137], [24, 86], [7, 65], [125, 168], [47, 115], [95, 157], [87, 130], [159, 204], [113, 166], [6, 51], [22, 76], [8, 68], [81, 150], [31, 101], [8, 50], [102, 142]]; loss = 0.010800 low_pass_filter = 0.300
+Epoch 0: | | 26769/? [5:04:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26770; scene = ['924f28662eb396be', '5938817243a3f3fd', '121f019d6ea8fb00', '6f31ea1e9dfcc997', 'e902702e1098b955', '763c81a76b7c8e9b', 'f0eed2799099821c', '718526f20251ce53', '3d47cc64aa87a00a', '28deb9590a567599', 'e7b8216ada4c704f', '2300a4ed4fd9f835', 'be24fb667f3616bd', '33f3de3604116aaa', '9b0a001d70b5965f', 'cff3e7fe8d73b11c']; context = [[159, 221], [34, 97], [29, 86], [4, 44], [8, 53], [43, 88], [56, 96], [13, 53], [6, 59], [52, 97], [10, 79], [130, 173], [9, 75], [30, 78], [4, 72], [43, 101]]; loss = 0.009727 low_pass_filter = 0.300
+Epoch 0: | | 26779/? [5:04:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 26780; scene = ['323bad35e4ebd63c', '09852bbdde224aa2', 'b3871abf5fab3140', '2800468d7b4c451a', '97bb49da6db4ba71', '90618ff8315f15a0', '0828e4ae23eaca23', '14013d33c1b775e5', '70618a29f2715285', '87c01e3c7b697584', 'a99dbe2fcb659ead', 'ef0d4dd02797449e', '4556d3c734620cac', '12d1e2faa3e53d42', 'ef2133eff7b3387f', '0e4223f5ba3ed4fd']; context = [[41, 98], [121, 176], [14, 63], [5, 47], [53, 105], [48, 92], [27, 67], [100, 142], [27, 75], [20, 79], [3, 48], [1, 59], [52, 103], [11, 65], [13, 68], [78, 117]]; loss = 0.009669 low_pass_filter = 0.300
+Epoch 0: | | 26789/? [5:04:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 26790; scene = ['05b07df7b5443976', '1c5722cd92190398', '3bd8b6fc41cb1a82', '92e2c39c1b535214', '5f50c0139db3d146', '5df639b6091c31e1', '483a3398bde8d8ff', '812f66c0ca94fcc9', '63152876b2962eeb', '6ab4f1994ae94609', '2341163e34fee01b', '42928282597bbae6', '78571463ec1147d0', '1c713c10ecf5a0c9', '05f18e7816df2637', 'f4020f90115a2b8a']; context = [[17, 88], [6, 52], [153, 219], [48, 92], [11, 59], [0, 48], [9, 70], [105, 163], [1, 48], [32, 84], [0, 42], [52, 98], [5, 66], [7, 58], [37, 81], [29, 79]]; loss = 0.008876 low_pass_filter = 0.300
+Epoch 0: | | 26799/? [5:04:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 26800; scene = ['5e6c8b241ce519bf', '5536007fc18a0659', '1d723573da63bcdc', 'ef80ab038f2341ad', '69e5729f406916bd', '39e85d8e0e948e66', '73fc75bd5d1e83a9', '67cc762eeb7f36a0', 'e6ebcb405cb22ef5', 'af56b0f58fe563a0', 'd173fad8e92ec1e5', '4925526b9cdca49e', 'b1efa62d2742528b', 'adc2ce1eb277afc0', 'bf8aa06772079ba3', '866e1164e81a9d4c']; context = [[0, 68], [2, 68], [19, 72], [59, 98], [79, 120], [14, 64], [23, 69], [141, 199], [129, 200], [1, 72], [2, 71], [122, 163], [32, 90], [9, 64], [38, 90], [79, 135]]; loss = 0.011754 low_pass_filter = 0.300
+Epoch 0: | | 26809/? [5:04:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 26810; scene = ['ab3efab32f6c6653', '3a1bbab383b6d2c1', '4364178b0f95b1b1', '6e18ee33a66f3d17', '37dce16fd81d0a43', 'e29c82e0b3dfe00a', '6014149afc820ee7', '887c0ef17477aa42', '764281da53fca2a0', 'c084573502466243', 'da3b6adaf492411a', 'a52873b76bc23753', '7bd870f9b2a9a6f7', 'a3655a06595bfb29', 'e4d6ec2508bbf420', 'bf09418608207a23']; context = [[33, 103], [32, 102], [12, 59], [36, 77], [7, 59], [44, 84], [8, 68], [46, 103], [12, 51], [127, 176], [5, 50], [138, 182], [24, 70], [50, 114], [45, 89], [43, 94]]; loss = 0.012079 low_pass_filter = 0.300
+Epoch 0: | | 26819/? [5:04:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 26820; scene = ['ed3419371f6b0b6b', '5d120972a05d6520', '28940119010f59e9', '299a59047ff48dbd', '0c844f4fc43d10a1', 'fb2fc136084bf16c', '299e1a5a31cf0a2e', '425d2142b08997bc', '5bfee65d75f600d2', 'e163a2ae0b4a58fa', 'e25a098ead78527d', 'bf935be6b886ef6f', 'e429ef8c927402f3', 'ad69885e675d996d', '9b083e044fadb8bf', '1db855eb2be5b983']; context = [[1, 52], [8, 72], [37, 97], [60, 107], [67, 128], [83, 146], [75, 138], [95, 154], [3, 47], [51, 97], [82, 152], [64, 105], [74, 126], [96, 157], [2, 42], [193, 237]]; loss = 0.009650 low_pass_filter = 0.300
+Epoch 0: | | 26829/? [5:05:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.0train step 26830; scene = ['85ccc785967a3105', 'd204a75d5c724077', 'ed4f0b586c17396f', 'fd2dfd73f01c7262', '07659a0418a472c8', 'd5835fb2f9cdf90d', 'f36ad32e649117b0', '5258ae529f43e083', '8a09ec7946cf4938', '180608332f0b1b2a', 'accfed2fa6ff849d', 'e53ec34eab835d44', '2225123ef31a93e4', '89b54f912927a60b', 'd0aafe6b7593a8c6', '75e5ba7e7fb64fc0']; context = [[58, 121], [4, 47], [9, 72], [23, 66], [8, 52], [184, 229], [25, 70], [2, 47], [59, 112], [23, 84], [30, 88], [215, 254], [15, 82], [47, 102], [10, 70], [33, 93]]; loss = 0.011921 low_pass_filter = 0.300
+Epoch 0: | | 26839/? [5:05:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 26840; scene = ['6bf93a0798a3896b', '032004811137e0f8', 'c2109cda6feb0115', 'bc754662fd77d7a9', 'ec612daa51a68448', '32c3d82c04192329', 'b7e4838a0b0d03b3', '0e156bcb1766c1bb', 'a3e89411f1ff997d', 'f993d7ccd6f449e3', '35a4d130ab0cbc9b', '998951524fe8db09', 'f80b9ad0e5617bf4', '5e3b3f5b748f6ad9', 'b172cf5674a8282f', '4191d2b8b0260e8b']; context = [[33, 79], [19, 63], [6, 48], [72, 117], [1, 56], [18, 80], [13, 65], [3, 64], [23, 78], [39, 99], [17, 57], [39, 96], [2, 71], [17, 82], [129, 175], [1, 61]]; loss = 0.011945 low_pass_filter = 0.300
+Epoch 0: | | 26849/? [5:05:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 26850; scene = ['dfd10e28913ac338', '97fa7a9fd6aad458', '7dfb75974e20d9f6', '99930c26f84df602', '9ca409a970f99e4e', 'cf96acfe14a34f96', '52983a3110a185fe', '780c668f832099f5', '0284951ff54ee710', '4eeece700a2f060d', 'd4cc5c4887f72d3e', '52a2be44c9847115', 'da6ab468a5630616', '7db8c4965bba509a', '609d6205bab3f9de', '36020c6c8008b3b5']; context = [[7, 62], [51, 117], [2, 61], [46, 91], [23, 83], [5, 73], [25, 67], [27, 70], [12, 80], [61, 101], [33, 82], [155, 194], [2, 44], [64, 103], [8, 47], [21, 60]]; loss = 0.010090 low_pass_filter = 0.300
+Epoch 0: | | 26859/? [5:05:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 26860; scene = ['39d85773336cae3a', '9753a8291766b5da', '9c77cb4edf2300b0', 'd8d10da8948e5676', '70f3055bdf9f1a76', 'fd73259e7c2801e8', '8e9800f2eef52cf9', 'a269ffcb594a6ef7', 'f73d742233a2f5a4', '5d0df71c937002ef', '1633b78ec0661e10', '0ea6cb5416dfeb41', 'a516469d68eb2932', 'd807cc0cdc241ec3', 'd683f1b0a075297c', '22cbdc156eda0b37']; context = [[0, 68], [26, 97], [112, 174], [141, 204], [58, 129], [43, 96], [159, 202], [39, 84], [103, 165], [6, 56], [0, 50], [8, 72], [4, 45], [17, 74], [1, 57], [33, 78]]; loss = 0.011255 low_pass_filter = 0.300
+Epoch 0: | | 26869/? [5:05:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 26870; scene = ['ad2e98d672dde0e8', '34573dc20956ef12', '54cee7146da8c7ac', 'ec193bda727a0e1b', 'd68c8852175c0721', 'a9319dee9251ebe6', 'f2e6470ad27f495d', 'a3abe0c419b12a6d', 'bad9d8fce9a88d31', '59d453d9a3928400', 'df3eace7286b16ff', '66726f5afdab740e', '0ba513fbd074377d', '650c97a5d26d16fd', '975302d5f959f41c', 'e7f8f1481b01c222']; context = [[93, 157], [12, 71], [2, 53], [70, 130], [67, 113], [183, 242], [56, 104], [43, 93], [59, 115], [99, 146], [12, 78], [18, 73], [8, 48], [98, 149], [10, 70], [20, 77]]; loss = 0.009664 low_pass_filter = 0.300
+Epoch 0: | | 26879/? [5:05:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 26880; scene = ['980925ecd20e9845', '7fed8c3dae1c5e78', '9668707d6167a299', '869ab3af4fd90d3f', 'd44c8063e3cf6035', '18f8fd3136058ed7', '70e481732168c917', '6e0ef4cc3bfcac11', '55e04e9b50ee3cd7', '310940bff3f06d17', 'c8e171e498269ea3', 'c91a840348807d57', 'cfa2450736df61d1', '2ba97c65f2b6b12d', '3d324e5e8a7790b5', 'a7285c6e5c20dfc2']; context = [[16, 77], [4, 69], [19, 58], [5, 73], [21, 90], [61, 130], [6, 76], [105, 163], [87, 139], [182, 225], [23, 92], [13, 57], [4, 75], [173, 215], [9, 78], [8, 63]]; loss = 0.010021 low_pass_filter = 0.300
+Epoch 0: | | 26889/? [5:05:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 26890; scene = ['f2d32d4308aaf828', 'c3774b5bec23a553', '8b950107c02ffaa9', '56ca12de78c49588', 'f5d47cbf373ef48c', '571669c7509ed94a', 'b948ce0680ae4e32', '9eb8e7f262b10c23', 'b79cba09d12f8d24', '73b3baa378bd5c87', '1352e11525407ad0', '637b4d4424886b66', 'c79bcc417194e054', 'ea4d05de31555896', 'd673c1599cd086b4', '7f534ff603a04b87']; context = [[5, 67], [67, 110], [7, 61], [34, 88], [30, 94], [3, 64], [12, 62], [3, 63], [8, 60], [12, 73], [4, 44], [39, 84], [184, 254], [52, 121], [0, 70], [22, 93]]; loss = 0.009211 low_pass_filter = 0.300
+Epoch 0: | | 26899/? [5:05:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 26900; scene = ['45faaf812e4accaa', '3a74cdb34b1b79e1', 'c21ac4985720cb50', 'aa49d6d1892aa62d', '38f263a412fc1696', '0313a1cc48ea7a60', 'd7b1ea6c5fbdb3fa', '9935a6146886dfe6', '93b76b6f5bf0e5ae', '5c214c6cba1c63f2', '181449e704881318', '1cdde81ba9489e2b', '6dd9e3b237e3ebf9', '2f3db5900d69a891', '4252d5a3cbe7a739', '0c629299b723a2f1']; context = [[91, 140], [82, 145], [24, 93], [2, 72], [95, 139], [37, 104], [1, 47], [19, 77], [12, 52], [107, 166], [3, 71], [56, 108], [5, 63], [34, 85], [78, 145], [30, 79]]; loss = 0.011095 low_pass_filter = 0.300
+Epoch 0: | | 26909/? [5:05:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 26910; scene = ['62fba06e80fdc73c', '1fdfacd97bb87f76', '79a8e4b0e9779b55', '9c1b2b03cba7eb75', '97dfb24bde43e1ac', '30ac659e53e1ac13', '1c1bee681c7b0b40', '7d7ccef156277c10', '5b2576a9a8cbb64a', 'a08eb87db37b694a', '5c77004b82dca2ef', 'f8c02e18821b6cd0', 'b54392dde102f10f', '541aa65a8c4f173d', '3cead9b544108806', '8ff5f069510b07d7']; context = [[53, 95], [2, 49], [1, 63], [40, 110], [0, 40], [24, 66], [81, 140], [48, 95], [15, 73], [27, 79], [9, 68], [9, 51], [120, 170], [12, 58], [166, 217], [83, 139]]; loss = 0.010604 low_pass_filter = 0.300
+Epoch 0: | | 26919/? [5:06:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26920; scene = ['4f222de881e845a3', '552ce58b418c7a7a', 'a2618f8568751d19', '373176367476a8e9', '3138e6593e07b283', 'c900014e1bc50565', '19b940e0418085be', 'dd73a5ab06e9c9e8', 'ed9778c29a8a3b5e', 'feba59e64c85fca6', '78982e707593bbd3', 'c4c33ddbf3b5ba1e', '3239b6416b50eab0', '731bf63b2770c3b0', '8fcec41b125f2f6d', '5b7ab1a8989e1729']; context = [[0, 40], [26, 79], [11, 66], [92, 145], [15, 73], [77, 132], [136, 182], [18, 61], [29, 68], [3, 62], [10, 59], [30, 80], [31, 71], [0, 39], [19, 90], [40, 84]]; loss = 0.008805 low_pass_filter = 0.300
+Epoch 0: | | 26929/? [5:06:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 26930; scene = ['e4f3630e8f2fbc49', '852f7c2aab04ec8a', 'b3b4229128c01334', '0c0750bfa3e590df', '4420547213fa33ef', '0831f0c838e6e563', '44b3e0a57bedb550', '0492d6125268e9ae', '8a175b66a6e0d87f', '4da70bfde0e88229', '5746cbe928536f09', '8f7048d08ee0f451', '88623b0479c2278f', 'd2739b0ce00e63cf', '6920a4f8f496ef7c', '6c0ddd369d85c777']; context = [[154, 213], [99, 168], [0, 69], [26, 83], [47, 107], [12, 68], [1, 45], [36, 96], [36, 93], [207, 246], [122, 188], [200, 244], [6, 76], [5, 55], [23, 93], [5, 69]]; loss = 0.020134 low_pass_filter = 0.300
+Epoch 0: | | 26939/? [5:06:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 26940; scene = ['b100ffbc2f9d79a7', '1e6a2c93047453fe', '738889f8821da74e', 'afbec7cd6de2b2a8', '7e423d9bae58a197', '695e66b2294400dd', 'b368d4cad3a2425b', '0aa5394311539cda', '1b184bed2cb5f598', '022b14e5d8659c23', '32be4bcd35e515ba', '92f98e0761fafa95', '81a073936247e55b', 'a87516f1de2ebff5', 'c7abf32ffa46ffe5', '5ad9adee87278e49']; context = [[47, 98], [69, 138], [5, 49], [65, 135], [22, 89], [22, 71], [7, 57], [51, 113], [58, 115], [21, 67], [213, 273], [87, 130], [1, 55], [66, 128], [219, 259], [8, 62]]; loss = 0.012525 low_pass_filter = 0.300
+Epoch 0: | | 26949/? [5:06:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 26950; scene = ['02d0ad66e1043e20', '4b008f9c4337a48a', 'ffea2c687693b2e0', 'f71c21324705b07f', 'c4958d1efc1da03a', 'f93c284c77d0738a', '4c9b35d3b2045ce0', '0d1b95f947442c42', 'a2e0c4df7f52bd34', 'efc534e54b8a4268', '984343099c800e14', '94ca67412c8d2fdc', 'c456e396e27d58dd', '3ba52d3da225ef63', '25c72ca81e19c388', '07582cf8c8b8ace5']; context = [[68, 119], [74, 130], [11, 81], [5, 74], [46, 106], [39, 105], [30, 93], [9, 77], [156, 208], [18, 75], [16, 56], [15, 58], [30, 86], [18, 84], [162, 221], [96, 166]]; loss = 0.012508 low_pass_filter = 0.300
+Epoch 0: | | 26959/? [5:06:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 26960; scene = ['ca31f5df8294e2ef', '212f736c5bd2cba5', '85e1e791eaaaf4a9', 'bbaf39151b2da748', 'f49334b723f7ee98', '8efaab78c3e2388e', 'baa5664b5ea5348e', '34ba90ddf627908b', '5dd1c7fc822c0b3f', '8611ede4ab1a5aba', '6119beda95f11d2f', 'b1b495944794f97c', 'cefe35d51bec9a7e', '16ae5cc96adfad6c', '60c3751c51aabd74', '957a0d6adafe161f']; context = [[1, 68], [171, 228], [63, 121], [18, 75], [30, 83], [83, 150], [0, 64], [0, 64], [35, 90], [0, 39], [9, 76], [55, 112], [19, 61], [25, 68], [46, 98], [192, 258]]; loss = 0.010016 low_pass_filter = 0.300
+Epoch 0: | | 26969/? [5:06:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 26970; scene = ['4b612eca55fc46fe', '153774d1b308ca71', '8c8903dd71f96459', 'c70e8c5846b50b54', '9c6afc23093a8433', '7e0a4040418d94bb', '3e0232925959536b', '67ece8689909e1d2', 'c175666a466f77e1', '411e56c382ab68bd', '4683fc2de32acba7', 'c30ef91c3a2d1a41', '884301dded89f439', '6936190f2338e455', '079ed48fda2e5b60', 'ce4c27e415863b8a']; context = [[71, 127], [6, 51], [30, 94], [64, 133], [68, 121], [97, 136], [0, 49], [70, 133], [28, 68], [163, 226], [219, 260], [6, 57], [9, 64], [16, 77], [1, 64], [45, 103]]; loss = 0.009569 low_pass_filter = 0.300
+Epoch 0: | | 26979/? [5:06:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 26980; scene = ['4bcba502acc243f0', '7290906ef512f678', '199efe0aa9f2980c', 'e707d9b275957bae', '1faa218ca6499b79', '01e5938d001f9529', '9c72fc8b3eaef351', '427e287379108891', '19dba813c3dc5216', '7ddc7cab16aeca59', '57a2e1f94490e770', 'f7b66cf4efb27146', '378c2fb1b45c30d7', '45dd934cb342509a', 'd1bf37200ec6b9f3', '7064a41c06854720']; context = [[2, 46], [15, 54], [22, 69], [0, 63], [15, 78], [28, 92], [147, 190], [88, 128], [102, 147], [2, 44], [25, 81], [20, 82], [55, 121], [25, 83], [27, 82], [78, 135]]; loss = 0.009514 low_pass_filter = 0.300
+Epoch 0: | | 26989/? [5:06:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 26990; scene = ['8c4188b975dcb7f5', '32050bb188c50d62', 'fb66bb9f72b6434e', '6f109232d9beb036', '33510e5a8e9d598c', '89dbb53fd933d873', '26a01fb0e2976fc4', '930341b45d10af4f', 'd3f9fbcfe7972afc', 'bfadf9a64d247858', '65498b8de03a0b2d', '9b1e8fe75dfee472', 'cc1bcd4f8463b2ee', 'db40e459c8979778', 'b9c0beab80c28377', '9ab83ba6f3dee716']; context = [[101, 155], [32, 98], [9, 61], [30, 75], [42, 85], [8, 56], [22, 63], [6, 66], [3, 73], [60, 116], [14, 59], [54, 99], [68, 118], [60, 126], [1, 48], [2, 70]]; loss = 0.009701 low_pass_filter = 0.300
+Epoch 0: | | 26999/? [5:06:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 27000; scene = ['958aebff5c34c3af', '9ce92300ba034e1b', '69a46538362147d5', '5d627dc0f8bb0ca1', '7ef98d73d599a144', '0d7d967d54714672', '148537ca7721ce60', 'e12794d33944d104', 'c4683228d9e80db9', '4851fa48e250c7a9', '82b3148fbfdcf4ec', '3b1dc593c60e05b1', 'e842229e024ea4b6', '4d3d250d83adc2a8', '61bc8e93d46d612e', 'aea85ab6f7b1ef63']; context = [[13, 53], [131, 201], [179, 243], [44, 101], [1, 62], [130, 174], [0, 55], [12, 57], [81, 120], [36, 84], [32, 85], [144, 208], [44, 83], [0, 51], [47, 87], [14, 69]]; loss = 0.011616 low_pass_filter = 0.300
+Epoch 0: | | 27000/? [5:06:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0validation step 27000; scene = ['f0feab036acd7195']; context = [[4, 70]]
+Epoch 0: | | 27009/? [5:07:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 27010; scene = ['158c7dda2cf0765a', 'ef9f95673c607cfc', '5db1f93559662c33', '1c966db883c0b9f6', 'a950d4448837f574', '142af18c2b5f0145', 'c2c37a6bf0a12e0b', '852f866007866388', 'afad90a8ee12661e', 'f7cbb66b48c9008e', 'bc7f04a3ec906867', '4dd89c9e62c601a2', 'a13f3056e60c07a5', '5258d714dbd81b7a', '8233b3467c6f4f08', '5ab82d98941fd59a']; context = [[11, 79], [20, 67], [22, 84], [64, 123], [1, 41], [92, 156], [114, 174], [23, 85], [9, 49], [6, 54], [7, 59], [1, 65], [201, 271], [13, 63], [22, 62], [177, 221]]; loss = 0.008632 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 27019/? [5:07:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 27020; scene = ['1bb131cb68bb3060', '653bb70e9b1ee3c8', '665c734dedef60ee', '53cf0ccf9f3cd287', '4d5fe5ad660cee05', 'ea35f2e87a22cc27', 'd6d953d12d23fdc7', 'a6d4617c65500d60', 'c234202cc8bec9b7', '0eb0406f93082b02', 'c2f4ee94e6aedf42', 'd6f4cf1db5c5d80b', 'c356b5fd63ca4228', 'b9f9d1c6f63799e1', '627e1740aebd42b6', '2005f0e5c1dcf4f3']; context = [[4, 62], [109, 180], [33, 95], [27, 87], [70, 139], [98, 154], [58, 97], [18, 64], [116, 175], [54, 101], [17, 76], [49, 93], [50, 111], [180, 242], [14, 54], [30, 97]]; loss = 0.008920 low_pass_filter = 0.300
+Epoch 0: | | 27029/? [5:07:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 27030; scene = ['c736e2a60be17d47', '310a9fe20c913b7a', '4a15c3236a6ac64e', 'a4a24fb8cecc137a', '2e2c55d69b879020', 'fbae922ad64ca6f1', '4ac2729ea26878fe', '2a9d2b1f2454b39f', 'da593472b1bbbb15', '41962a5fd8fca53a', 'cd3a4584964695bc', 'fe9263e6769a380d', '4e1b2a3897227661', 'fad5878d1b28ad75', '516b59544d9c9086', 'cebe3be57fb380f1']; context = [[12, 73], [4, 50], [149, 213], [11, 68], [17, 68], [32, 84], [147, 193], [172, 224], [0, 64], [35, 106], [173, 229], [146, 194], [24, 72], [110, 150], [0, 39], [41, 92]]; loss = 0.009540 low_pass_filter = 0.300
+Epoch 0: | | 27039/? [5:07:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 27040; scene = ['35f1002ddc4fbebf', '241d717da4a8eb58', '61b1040db43a48aa', '3b1fe6ab1ec38c05', '3fe4e74e7531c300', 'ee8a4c0cc4c523d2', 'a316eb155d7e477c', 'a67229c34e33f896', 'cd6999ab6b9c1038', '759a98733188003f', '4931105c27ccd2b8', 'd3050899f139615e', 'ecac75a36d941d5e', '7cfb911c40da361b', '5e62a890cb5a023a', 'ab36eedface7b474']; context = [[7, 66], [59, 101], [18, 70], [7, 57], [4, 46], [105, 163], [146, 203], [8, 68], [2, 70], [68, 122], [6, 74], [39, 89], [90, 147], [16, 59], [90, 154], [43, 98]]; loss = 0.009257 low_pass_filter = 0.300
+Epoch 0: | | 27049/? [5:07:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 27050; scene = ['6a53118833481290', '401ce8a065750160', '0ddbcb756905070d', '7a33856e537d35ac', 'f6f1f51bc8538b9f', '0313075cd35fde65', '7b1854aa0edd0d17', 'a020feef33132bab', 'de2fae8dc08aade7', 'b21216eb9941c9f1', '445abb7aac42d3b2', '1bc87f3755e5876a', '629e12b1a808926a', '63285420ba79f570', '9005a907bf9a54bc', '36d85b0f38055e14']; context = [[24, 70], [4, 67], [1, 47], [45, 86], [6, 46], [31, 81], [125, 183], [13, 59], [28, 93], [1, 41], [111, 162], [14, 60], [8, 53], [60, 99], [8, 49], [48, 109]]; loss = 0.013025 low_pass_filter = 0.300
+Epoch 0: | | 27059/? [5:07:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 27060; scene = ['2b92e1411ef38e4d', '0ca219e558a9ced6', '77d9893ba17a1330', '1a251dc2dac5cd26', '6f6b3630c1daf8bc', '853afb68eecbe04d', 'db085f4da5bb3a11', 'c1fec197b3a59315', '98b99eb5c3bd9603', '1d08d09515970972', '71d24f4e70b1596e', '6454334af1aaabd9', '849bb6781ce6dd59', 'ea305252e2b18017', 'b2a34524405f79ff', '9bb10fc846b3d2b1']; context = [[3, 42], [33, 89], [34, 96], [17, 67], [4, 63], [87, 142], [6, 46], [0, 39], [12, 60], [5, 63], [203, 271], [91, 152], [42, 94], [43, 98], [162, 218], [45, 109]]; loss = 0.008159 low_pass_filter = 0.300
+Epoch 0: | | 27069/? [5:07:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 27070; scene = ['52bc94dadc901275', 'e1b188d7ddb28f38', 'e4adc1ffcb9575c8', 'ae4c65fb1d8619d5', '38a370f974e32a78', 'c5dfde6b20759428', 'aebd9e8e84ef857f', '2cd51577bfc59199', 'dc8c9c29844a8b88', '6ba5219cfc2dcf6a', '15f2988fc979f6ff', '8db7e7f866453215', 'c84aeac3da716986', '944ae6c07bd328d6', '97f5b0df30fe5b41', 'e85713019ff14680']; context = [[3, 48], [62, 107], [30, 89], [23, 94], [1, 61], [3, 45], [56, 95], [33, 76], [0, 67], [3, 66], [0, 70], [14, 54], [62, 129], [25, 76], [53, 120], [113, 168]]; loss = 0.012456 low_pass_filter = 0.300
+Epoch 0: | | 27079/? [5:07:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 27080; scene = ['af8138fd057cb9ba', '3f27e74e06018bdd', '10dbf6c5afec6956', 'c0a547f524acd02d', '58a0cb2ee7df863b', 'cc288185b68c36f2', 'd88d6ade2d6d5b5c', '4bec534ca04e2591', '751100d120de2bc0', 'e8d8e1018d018035', 'ae1cb8963eef8971', '12ca2a23442e0504', '477f09d02b88d731', '81ef566049bf9197', '3626f78e7e99839c', '055d059074817213']; context = [[23, 62], [54, 125], [1, 70], [101, 165], [36, 86], [4, 68], [92, 133], [46, 105], [4, 71], [12, 72], [21, 70], [19, 70], [22, 93], [117, 180], [7, 72], [14, 63]]; loss = 0.009023 low_pass_filter = 0.300
+Epoch 0: | | 27089/? [5:07:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 27090; scene = ['6dd5bd6445ada623', '0339818f120ea7ab', '8c2000c91596ea0d', '5be8385a860cd167', '282c3c958edab940', '8f5e074629cedd06', '21d88b442db5f97f', '3738997e842ffe36', '2cec44c7d50cb057', 'a2ae856e2faf3097', '4eb73e73ca77fb11', 'a51764791263987b', 'eff98653337775a8', 'a3214062cd1950df', 'bf4e0656a420aa9d', '5eca48d9febf5e70']; context = [[7, 77], [11, 66], [120, 159], [78, 117], [1, 40], [15, 62], [1, 66], [23, 78], [7, 62], [0, 39], [40, 92], [2, 51], [106, 154], [150, 197], [4, 69], [9, 48]]; loss = 0.011065 low_pass_filter = 0.300
+Epoch 0: | | 27099/? [5:08:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 27100; scene = ['122fffc5bb0099f7', '36cba4fb28af5f41', '7e5067f243e163c2', '9ce71811d7ef9514', '3cd8c5f222a29e8c', 'a65f2600585e4c08', '4a87c4d3b16e0e4c', '03ede33559dd7c37', '29e050fdb8e9c055', 'b39aa70a6f60cebf', '76780f3faa6948a6', 'df3d24a554846107', '5958daa0530a7150', '5f64d96ba85989e5', 'a0d754b3444c1387', 'fdaef267e08ef3aa']; context = [[34, 86], [28, 91], [43, 96], [91, 136], [3, 45], [50, 119], [24, 80], [4, 61], [57, 103], [38, 79], [23, 68], [17, 56], [14, 79], [15, 76], [3, 42], [188, 246]]; loss = 0.010106 low_pass_filter = 0.300
+Epoch 0: | | 27109/? [5:08:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 27110; scene = ['d36fc8d3f149522a', 'a97eef4d4e9f345e', '9f655edf6923e6cf', '8c311d826f923a77', '9cf046728c3db4b0', '8096cd3a05638ced', '50f863411c708475', '89905d291f2f7596', 'a15a553c9850b44c', 'e8ca4b0be06b0c74', '302211facdaf64c0', '8fcae49975dab026', '547aef61289e7ad7', '06328d0d5cccc46b', '03781fa53fd2620f', '75ac86500993ad2a']; context = [[13, 78], [0, 39], [23, 69], [45, 90], [1, 50], [133, 181], [0, 46], [0, 49], [11, 61], [60, 112], [6, 69], [8, 59], [3, 44], [39, 83], [126, 186], [43, 87]]; loss = 0.008733 low_pass_filter = 0.300
+Epoch 0: | | 27119/? [5:08:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 27120; scene = ['39d7d08e52c00f81', '7dd499cd4bd4ec59', '222acb29d1b3c2aa', 'db9435d8cfadb24e', '977eb4604758bcd7', '6149aade1b7de1c8', '00a87dd567cdc292', '9749a18e36b8b4ca', '977e456b8e36321a', '6d1a7f2061758a7f', 'ac56fc9d958777ec', '7326aa4935d38c48', '0bb14b8b474c9eba', 'df6c10f80caca76b', '7eb30b2520ec249b', 'da3d7abde96586ee']; context = [[116, 167], [0, 40], [0, 39], [171, 228], [112, 164], [2, 53], [24, 79], [41, 97], [73, 121], [9, 51], [92, 146], [50, 98], [74, 135], [29, 73], [12, 59], [9, 70]]; loss = 0.008830 low_pass_filter = 0.300
+Epoch 0: | | 27129/? [5:08:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 27130; scene = ['f31541473a1526ee', '91569ae4b2a46efa', '07c292c4e24e752f', 'cdad2b86094189ce', '6859d00d1fc05309', '9364344ee7f3c7e0', 'fe76916bbbcc9bfd', '0c9bb46be874cb45', '2cd0fca69890c724', 'a0a1ff4fa47cfc1e', 'd1053e2e2fb43380', 'ef294337f32250ff', '7cfac1c5c75d8cb2', '82601096ac275780', 'c4064076b7e5e42b', '8a357be8b7d049e1']; context = [[45, 105], [3, 49], [31, 95], [36, 91], [9, 48], [38, 101], [6, 77], [180, 229], [4, 68], [9, 61], [30, 76], [103, 147], [26, 66], [68, 122], [199, 249], [3, 56]]; loss = 0.010204 low_pass_filter = 0.300
+Epoch 0: | | 27139/? [5:08:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 27140; scene = ['faba273f0a3debc6', '565d85abf1302908', 'ee80a8b9b2f8246f', 'e54b1e990bc7b662', '5fb223627a096342', 'b1a6d0b3474187c0', 'e939bcbb98acc5a7', '701a83709009e202', 'e08bed0014d3fc22', 'd8a96058b9a6eb1e', '27f65dfe1a368d7b', 'dee32526a5ea279e', '0fc1880ce9953772', '894fa42de50a917d', '45f8438cecfb6cae', 'f1503dd693e4afe0']; context = [[84, 137], [51, 109], [15, 54], [1, 69], [9, 79], [97, 154], [7, 73], [23, 77], [7, 71], [60, 107], [52, 93], [191, 257], [13, 68], [14, 72], [1, 54], [38, 96]]; loss = 0.009015 low_pass_filter = 0.300
+Epoch 0: | | 27149/? [5:08:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 27150; scene = ['a57b68e727904b76', '64cc6af0c7229fb1', '7c8c185289523ea9', '026392b9abf82eb3', 'da3a7d1f910a33c0', 'db4676b09d10dbd5', '52a4f713b01a5a58', '430570672f036840', '3f73de068d60f46c', '4067dc3e53c02908', 'c2867dde9ccb0b7a', '21a23abebca8c840', '4e4199248d302a7d', 'ae8188346d8f99ac', 'c647b5c9b5ff2e0c', '2ac22d87de85c86f']; context = [[109, 173], [147, 189], [162, 220], [12, 63], [69, 130], [5, 77], [32, 71], [58, 122], [2, 68], [29, 89], [5, 58], [2, 48], [112, 178], [6, 67], [28, 80], [60, 130]]; loss = 0.010749 low_pass_filter = 0.300
+Epoch 0: | | 27159/? [5:08:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 27160; scene = ['be3bf9362857bffe', '605455dc5f1561a3', '433f5fa510755d52', '56341c49ed4564be', '807743b71b28c82d', '3fbcb0eef93e818f', 'e814b7a50ef25565', '42dea626cd0ca095', '57e607bc8cd5d233', '52914ada3d21bb9a', '211ba20868a52208', '22dd0c673b90e0f0', '7dc2da97423f053d', 'e280e5d4cd514531', '9f0cb34a36fc4260', '3d74489372089c48']; context = [[58, 124], [4, 51], [133, 200], [0, 61], [13, 71], [22, 76], [56, 102], [5, 76], [105, 150], [109, 159], [61, 116], [17, 69], [110, 158], [34, 84], [41, 112], [0, 47]]; loss = 0.012559 low_pass_filter = 0.300
+Epoch 0: | | 27169/? [5:08:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 27170; scene = ['f4f4b50a47089b2e', 'a493fb48c96ca433', '2fddf9fba77c95d2', '614707884d4d8849', 'd9031a7327efd918', '16a544b331e1e121', '93ce0415d2ec4cfd', '2d56b7640c2b4e85', '7c8a7d277da9630f', '55bc2a5f8dd8c274', '14d6407edcc83d44', 'af4dff7016287971', '56d7cd5d57583f2e', '18418d639d03531c', 'c7875783d4ebacb7', '557f8c7222f4094f']; context = [[41, 94], [1, 68], [15, 70], [1, 47], [85, 139], [14, 83], [4, 74], [22, 66], [6, 46], [111, 170], [18, 81], [36, 107], [48, 109], [5, 45], [12, 76], [17, 80]]; loss = 0.008301 low_pass_filter = 0.300
+Epoch 0: | | 27179/? [5:08:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 27180; scene = ['87bcd8ec1a54ec5b', '0d769b8f95716ff4', 'bea7a7d7bc99d87f', 'cd758d9a770e3004', '2075f9a34df7009f', '506c3c6a37df296b', '111edff73abfa215', 'b333ae137d9b364d', 'a04482e878287d98', '35c3896f8118d911', 'a112490f76c588e1', 'b1a8168a3cb58d78', 'cbc5079a5e106cf9', '8da49a4df37d64c4', 'd140ca9a916f2329', '99df0e9790c603ff']; context = [[74, 113], [2, 60], [27, 97], [15, 54], [0, 43], [159, 198], [22, 80], [79, 143], [0, 71], [27, 96], [50, 113], [202, 261], [87, 152], [0, 40], [95, 146], [23, 83]]; loss = 0.009465 low_pass_filter = 0.300
+Epoch 0: | | 27189/? [5:09:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 27190; scene = ['49d7417d2f74b2e2', '46fde3a67644e92a', '7af65f2a557b7cfc', 'ca842b977ede6e8e', 'e9b3ee54d1ed8bf3', '34654b2aef02b36f', '8f95aaecd30bfe17', '5d94f429452c77ae', '88d99c13c9aa2879', '59ff46a8991109e1', 'e8556bce269486a4', '53fe362fe9f15a4a', '30824b5a1ad95949', '09601fe247d7afd1', '9696185e462423f4', '2e4d2ff0e9928563']; context = [[6, 51], [3, 47], [15, 70], [2, 64], [3, 49], [10, 55], [0, 46], [3, 50], [35, 75], [53, 93], [5, 71], [74, 146], [3, 72], [144, 190], [71, 138], [0, 41]]; loss = 0.007461 low_pass_filter = 0.300
+Epoch 0: | | 27199/? [5:09:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 27200; scene = ['5ac0f0232a8d4efc', 'd692e48036144709', '91d197f925891f41', 'c3914b367617df25', '751c329e576944d8', 'a8cfb2062202dee3', 'f775386efb45738a', '585b9da654b196e0', '2c38ebf17747a14e', '2b787547ea496776', 'dfe3cbe9ca43aea3', 'a48622051ee5dad1', 'c9ba8f17c6191867', '9a65de132ab2fff1', 'c21a51e62f022171', '654a4ef182f4e8ae']; context = [[0, 42], [37, 84], [41, 104], [8, 56], [30, 79], [39, 101], [19, 63], [50, 111], [22, 70], [19, 88], [95, 146], [26, 83], [122, 176], [58, 130], [29, 70], [37, 89]]; loss = 0.009403 low_pass_filter = 0.300
+Epoch 0: | | 27209/? [5:09:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 27210; scene = ['e0e5ca65d06c4aa2', '7bbc16f55a96e465', 'b047dc9789779470', 'dff73d748dda6d8c', 'aefcd43f036bb40f', '12ca4e4975bb2a9c', '1da214534aec3dbf', '8a02d21e625be4ee', 'd9fb64a51b499e43', 'b0c1009eeb7b447f', '91c1cbefd5264370', 'e27fc0761ea5e6b1', '25dbe5782e6c3cee', '2d9b94de9466e734', '777b15ad5ae49dd3', '91dfac692f342ede']; context = [[15, 69], [9, 56], [19, 67], [169, 233], [13, 80], [26, 65], [1, 60], [58, 125], [3, 55], [38, 87], [8, 72], [144, 205], [1, 57], [1, 41], [24, 91], [86, 132]]; loss = 0.014179 low_pass_filter = 0.300
+Epoch 0: | | 27219/? [5:09:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 27220; scene = ['5d709e068e3236cc', 'a864af7ee1e31eb0', 'f281ad937282c080', 'd481fa99ea0ed419', '708f9f5df8fc6ed0', 'f0ebdc3c38328266', '52103ab252c706ce', '871fef035e6b93dd', 'c90ec67347b8e528', '3e702c442a66299e', '1894f05fbefb5abe', 'c987b733564bd36a', '67e392299d5e2fa3', 'a72388bebe09a36d', '2d9d126633e09772', '5d30b873b1035b91']; context = [[13, 79], [178, 225], [155, 221], [93, 146], [14, 54], [3, 60], [59, 124], [41, 94], [11, 82], [27, 89], [70, 112], [18, 81], [8, 71], [32, 82], [29, 101], [50, 106]]; loss = 0.008851 low_pass_filter = 0.300
+Epoch 0: | | 27229/? [5:09:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 27230; scene = ['8dc02ad9f06c82b6', '9a3449c857ad8d2e', '23f38236666f61c8', '01b1548c7d661213', '3b77ec0fcfd8373a', 'b101b30ff1f24357', 'fc02bddd09583f6f', '9846c25ea4dc9cd1', '52756823f87254c1', 'b63f74a469ec8316', '377491fa91a751b3', 'ea1af0f111f0dec9', '4993ae15d091d631', '40b14e9ca06271a0', '9c500c3d949c224e', '4b7a85a5ae42aa8a']; context = [[4, 61], [24, 70], [24, 96], [38, 102], [16, 63], [4, 50], [57, 103], [43, 101], [19, 65], [119, 188], [8, 66], [13, 63], [4, 66], [29, 83], [9, 51], [5, 58]]; loss = 0.010126 low_pass_filter = 0.300
+Epoch 0: | | 27239/? [5:09:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 27240; scene = ['814b717a61c0f68a', 'c0b86b59d18f6879', '0882ca13b9d93357', 'd9196f78b7157f71', 'ec9a56125230d207', '9d91f476e8dbb383', 'c73acf609000773a', 'b6b6067feecfb5d3', '7cce97f1221bfc12', 'd58c75a57b01e304', '61b778394cbb87b8', '9566439bffee627d', '09d261f196740983', 'c53e7a6ec946c9c2', 'af0e326ad5e575b9', '85cde1a5051d2e37']; context = [[67, 107], [153, 204], [142, 204], [69, 124], [2, 54], [60, 103], [4, 48], [115, 180], [6, 59], [178, 241], [68, 108], [56, 102], [2, 67], [43, 87], [32, 102], [32, 97]]; loss = 0.011257 low_pass_filter = 0.300
+Epoch 0: | | 27249/? [5:09:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 27250; scene = ['008565fd84fac8bc', 'a4540429f3ab7b34', '1cc6d70643937efc', 'b44a9831f5c9346a', 'f5fd2d3dc5eda234', '70c3f63e49f0a60e', '5c04e1bb3d57c7e2', '419e0277df79188e', '4dce2f5cdfb61209', '73a4c98b9e149ef2', 'd33a702220f9c643', '0d7da46def0b4cc3', '986f645284094c16', 'c6d42b8762adadbb', 'be7fa9414da75873', '7680be94e005fde6']; context = [[23, 81], [13, 83], [2, 44], [36, 92], [40, 80], [25, 88], [16, 79], [122, 165], [16, 61], [7, 78], [10, 49], [11, 53], [13, 70], [26, 76], [57, 114], [196, 255]]; loss = 0.010798 low_pass_filter = 0.300
+Epoch 0: | | 27259/? [5:09:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 27260; scene = ['af989050871d3063', '82727d8f1a3947df', '9af2565a661129f6', 'f0a29e4c71927073', 'ea0d305c9f4bfbc3', 'c8095ae968917c3d', '67b3a3c355535c14', '5b39d198ee235761', '0c60d54f1b0d4939', '7cd75d95c7716b76', 'f4b964978146e11d', 'f545f3fe4f5a0144', '3b7cb1e5988f8818', '4e8f6edc35cfae7e', 'cbaee3140040b235', '4dab828d09c1dc9a']; context = [[17, 79], [50, 93], [0, 67], [27, 97], [33, 86], [85, 135], [148, 204], [69, 136], [1, 63], [10, 53], [47, 113], [1, 41], [0, 46], [12, 79], [8, 53], [95, 166]]; loss = 0.014178 low_pass_filter = 0.300
+Epoch 0: | | 27269/? [5:09:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 27270; scene = ['d2daf9db087843b4', '557c4d3950b294f9', '7c9f6f07c626b097', 'ce839951021a9e6a', '7c0b9b27b0221a06', '0542dc34079ab46b', 'd7d21836042ec476', '50fe95437cbf8ff2', 'bbf2783a7ab10d31', '1d09d68c42cd89c7', '69d48147d336abd9', '3e30604f4534a8fb', '61b47f4bc7d7d615', 'ce83b2cb583c5746', 'eb0d89c323b8848b', 'f7f3359cd5a72d36']; context = [[10, 76], [33, 101], [13, 84], [0, 53], [16, 76], [3, 69], [0, 39], [38, 93], [27, 88], [62, 131], [11, 78], [14, 71], [16, 75], [1, 57], [48, 116], [33, 87]]; loss = 0.009823 low_pass_filter = 0.300
+Epoch 0: | | 27279/? [5:10:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 27280; scene = ['d1749b42c2b6082d', '920b80196dc8b79a', 'e8c5fdad60e58a8f', '1bb36d50ab9fd353', '2ba6db31b81feaf0', '71de6eb329cc96bd', 'bbdb60e0097e9ced', 'b373737df3e74477', '9aad28b8c911c8e4', '554eb9150ea16515', '95b37383d90fba88', '5dab5955ca910d26', '3d896caec571f0c5', '9d5a8743f862007b', 'f2a043c2bf7dd45e', '08db89a1f93cb339']; context = [[80, 149], [0, 48], [3, 71], [5, 48], [139, 183], [9, 53], [14, 78], [10, 53], [50, 95], [69, 124], [47, 117], [32, 72], [12, 84], [4, 57], [14, 70], [139, 196]]; loss = 0.010223 low_pass_filter = 0.300
+Epoch 0: | | 27289/? [5:10:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 27290; scene = ['62f6164b50b1ae15', '4d412ba977218397', 'f0da9b9f8786b0c1', '145a729ed377068e', '630027801891d158', '5193a7aee466495c', '6b2d6d1f7647ee93', 'ffef52d59b658cc5', 'a6d4f5be85158b87', '6a13585caa18b99d', '8468c4228e3215ed', '3b601d4d89307614', 'd3e19b0747269427', '540656c16216364d', '3d11abcfd05f507c', '76bedcb696ccbc7a']; context = [[31, 76], [99, 169], [44, 94], [16, 64], [25, 76], [16, 69], [18, 59], [1, 68], [4, 58], [8, 56], [43, 88], [9, 73], [44, 89], [58, 113], [97, 157], [6, 69]]; loss = 0.011992 low_pass_filter = 0.300
+Epoch 0: | | 27299/? [5:10:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 27300; scene = ['c6b450dd4f8260d6', 'c296bc064bf57103', '0dbd02c398ed09be', '8941f8b586e324bb', '078cf7bcdd1e6b98', 'b9898a02ddca3bdc', '08c27044b75f9d07', '47c6e528ab8a99b9', '796edf2c7d66e362', '9a55eb0408491b0d', 'e79688995a05442e', 'ff3f8f09832218b0', '3840c776490b3c9e', '3a816121b5cb580a', '8cf667556a483c0d', '797dcddca16ff818']; context = [[37, 95], [209, 250], [73, 138], [161, 223], [58, 126], [2, 59], [35, 80], [20, 79], [5, 74], [59, 126], [73, 129], [13, 57], [181, 248], [11, 69], [1, 68], [46, 86]]; loss = 0.009266 low_pass_filter = 0.300
+Epoch 0: | | 27309/? [5:10:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 27310; scene = ['9ac86842800aa7b8', '752e61228b378e7d', '2536108e699d5da7', '8300c87d5c58fcb0', '376fb262be62f5f0', 'c4836e907672efff', '91599919681fac69', '896854a5d7c5179b', '40c5311e3b3accef', '4277d8783b6a046a', 'a01c907f0070d11d', '9af7c151a7ca6d00', '8ccc670b427d277a', 'a134112256d679ba', 'ea334cb643e07603', '3aba94892a572bda']; context = [[80, 142], [0, 46], [25, 67], [44, 101], [4, 68], [52, 111], [126, 177], [7, 56], [78, 143], [37, 88], [14, 66], [52, 109], [162, 212], [82, 144], [0, 55], [15, 65]]; loss = 0.011633 low_pass_filter = 0.300
+Epoch 0: | | 27319/? [5:10:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 27320; scene = ['a56410296c4762f7', 'b02ef5b5da0abc6e', 'f1f9332cd7100f77', 'cffe7db0efc86b6a', '024713d50b2ab06b', 'd353f6546d670569', 'e61532beb3fa8b63', '7f84033b9d1f6a5d', '832038b00ae58f1c', '5d5ed476cfeed088', '9e3c241e9f50165d', '4bc0f7093a371680', '422b9464cd719365', 'a42aaf066c5ff709', '53a37a07c364e341', '1c557fb150cac743']; context = [[37, 76], [119, 158], [53, 103], [47, 100], [16, 69], [4, 68], [16, 56], [11, 64], [15, 84], [76, 128], [18, 75], [124, 165], [12, 79], [113, 177], [0, 68], [20, 78]]; loss = 0.007755 low_pass_filter = 0.300
+Epoch 0: | | 27329/? [5:10:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 27330; scene = ['812e006c97d55f65', '78718ab636cea9a2', '6297d2e2430c2951', 'e9eecd2f4af1e41a', '96f428c26a493886', '245007bd10b2a438', '0880e957b3055732', 'd8c6ae0c604d9622', 'e0540e2d6160e242', '49a3f7ae3a565531', 'a8618ce38df99d23', '7af3ae39bafa42ca', 'fdea8b88ee5b83c0', 'de24e08882c2f2a1', '7c25281ed9129369', '0021e3be0043c3b3']; context = [[178, 239], [0, 51], [189, 240], [42, 81], [23, 78], [43, 112], [98, 164], [7, 49], [0, 49], [53, 116], [5, 59], [17, 75], [44, 100], [53, 115], [111, 154], [8, 59]]; loss = 0.011580 low_pass_filter = 0.300
+Epoch 0: | | 27339/? [5:10:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 27340; scene = ['597a7b1d1a1db7e5', '8ec42c5dfea6823b', 'd542ff37459bd8a1', '64db7512182c3f7e', 'e85458f034fd2a07', '06a98db04d55c991', '7c2e562c6df590a0', 'c702d7ac1f3eb359', 'b1cb82b0ad9e50c9', 'c75f2ccd789133d3', '9c34287c66be9375', 'a273c53ccc48f262', '29c79f791d50eb63', '1918093c072f7cdd', 'e7fec1ee1cf98b16', '8463e86cf267681b']; context = [[146, 196], [5, 68], [151, 223], [83, 148], [99, 143], [24, 96], [38, 104], [1, 48], [47, 87], [16, 57], [47, 103], [73, 133], [9, 64], [9, 68], [8, 50], [54, 99]]; loss = 0.009382 low_pass_filter = 0.300
+Epoch 0: | | 27349/? [5:10:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 27350; scene = ['c6252c821a5310db', '6fc575ee0d5ba914', 'ff4177c802659351', '96c6e2db1b6b3961', '03575bf8316084e9', 'be525cda9f20912b', '0a5d9bd1a512c498', 'd432223d014b318d', '313d67b805705572', '39e99101dae5b664', 'e2f199d364a2dd73', '07bc9cea7e787460', '217c6e278b7b4b91', 'bf1b3df661689e32', '01e5207480d75225', 'd0c0d5fc515e76ae']; context = [[0, 55], [0, 56], [130, 169], [218, 273], [0, 44], [13, 71], [159, 223], [4, 43], [11, 55], [26, 86], [11, 60], [18, 63], [1, 48], [10, 73], [23, 86], [141, 208]]; loss = 0.010538 low_pass_filter = 0.300
+Epoch 0: | | 27359/? [5:10:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 27360; scene = ['fd367e423c5ec1e6', 'f74d512df8806cc1', '152fdd4a1d573eac', 'f6002d27b4940f4b', 'e579edd7cd33c20f', '8d240b118357cf8f', 'f760a303e59652b9', '83f57bcd5d9121f6', 'e0f9634ac743f6e8', 'dd4916f348c17aa0', 'b38f933773a331bf', 'ce284b41bc2d6abb', '8411baa1ad3a5c6f', 'f6c2ec175de3468d', 'edb0f2f1872ff393', '912d4cd827238ee3']; context = [[116, 172], [200, 242], [27, 67], [65, 108], [0, 48], [15, 71], [43, 103], [146, 194], [54, 95], [0, 40], [44, 96], [2, 72], [70, 137], [1, 59], [28, 98], [2, 41]]; loss = 0.010858 low_pass_filter = 0.300
+Epoch 0: | | 27369/? [5:11:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 27370; scene = ['21ab0d9d871753dc', '27e6dbcd1a32e569', '0314dd90dba7025d', 'e36b193b3e2dd16d', 'd386559a465dea9c', '023e2a0f45dc49e0', '31d2fb92e2a0ca93', '1668fcfb8bedeccb', '489cfbe5474c746b', '08f3bdfcb2b56aa8', 'e1f3e3802c9359e0', 'bc40dbe2f1331028', '3e88f9a82a1c873e', 'd2f6106c79c3c290', 'c0ccc114b35102ed', '0dd90b85c14d14dc']; context = [[16, 69], [14, 85], [6, 64], [6, 70], [60, 120], [130, 197], [2, 52], [21, 82], [48, 93], [31, 80], [1, 67], [1, 44], [9, 51], [189, 254], [38, 97], [2, 56]]; loss = 0.012046 low_pass_filter = 0.300
+Epoch 0: | | 27379/? [5:11:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 27380; scene = ['079e270123c80df2', '335986becc65b59a', '11730d25b6f6361b', '97b534cebf6de9ec', '1e16c3f44fb40c63', '0841dc352b358629', '6f29d2f4950be336', 'de40426a00dab49a', '6b636cd3f339790b', 'bfaf7588ae5507eb', '316f04cd97503684', '9308b0309e860d89', '804c26118696da0b', '6b4aa6e3b092e947', 'f4ea66b72953198c', 'da2a7bb7a32a94df']; context = [[141, 200], [2, 55], [120, 163], [4, 58], [0, 48], [66, 127], [80, 136], [25, 75], [16, 59], [13, 64], [39, 107], [15, 68], [39, 99], [20, 70], [75, 145], [115, 186]]; loss = 0.010701 low_pass_filter = 0.300
+Epoch 0: | | 27389/? [5:11:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 27390; scene = ['0014287f39e4686f', '428e4ff3c5e3fa30', '4ba68e7e512007f9', 'c945876f6f1aa410', '2a85d99ac9390dff', 'c8425a24b08f015a', 'ac969b1d59f92c91', '687cfd708e3b42dd', '9320c5717e2bf1ea', '1a7bbd0bd3e7c3cc', '47608d00f89f6b00', '2d38cbb82e3fb1d3', '4f7038c3257a081b', '6a0f9bf1977e6af3', '7c1434aba45e0e87', 'a30cd3bcc7d000ff']; context = [[194, 243], [141, 190], [39, 99], [66, 131], [197, 269], [35, 104], [36, 94], [54, 105], [17, 57], [51, 96], [123, 165], [52, 104], [160, 223], [4, 50], [28, 68], [71, 126]]; loss = 0.015584 low_pass_filter = 0.300
+Epoch 0: | | 27399/? [5:11:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 27400; scene = ['798682f477023581', 'c3544b3381a888b7', '935a90bf15b8c7cd', '7125ae35464adb5a', 'a6ac9a6cc22cef98', '81df966eea295ac0', '5aaf9100d34579e6', 'bffbd3c67735eeef', 'a9caf4fcb2bca405', '6b990b7b7e1842d9', 'a42751218de3c92c', '875839ca4b0de009', 'cdadb3960ffc1de8', '5dee435a268fbf38', 'da9ad3d0fc78bf78', '88901f973fdc0784']; context = [[69, 114], [214, 253], [117, 166], [6, 46], [9, 79], [163, 213], [6, 58], [43, 109], [41, 83], [3, 44], [18, 65], [25, 94], [138, 197], [19, 71], [61, 131], [63, 109]]; loss = 0.009757 low_pass_filter = 0.300
+Epoch 0: | | 27409/? [5:11:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 27410; scene = ['50f5f0c69d553bb4', '0d036f88d76b0d2d', '045934369f1fc08d', 'b2dd9639336d0fd6', '493ff377d55d79fd', '2051fd8a3c639b9e', '86270bfca57f93f8', 'e5884780d0c4b903', 'ee93d0c6e61bb08d', '8c118dc21586b065', '013c0dd9d0f20a96', '2bf91de5cd028c93', 'c6ebf1a0acc6844d', '4b6cbf1f4c87d918', '9b4d466924c40d8b', 'c96068ac4bae306c']; context = [[91, 162], [189, 243], [33, 82], [60, 125], [0, 44], [33, 76], [6, 71], [39, 92], [168, 229], [45, 84], [37, 98], [7, 61], [117, 175], [58, 103], [60, 110], [6, 65]]; loss = 0.010008 low_pass_filter = 0.300
+Epoch 0: | | 27419/? [5:11:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 27420; scene = ['d8d663fa411e9d83', '1d98f8f51eeb0b35', 'b13c91ea8f5f8796', '3c26cfffc84d7f05', 'e87ed64351c110e6', '3cf4f7cef3d2003f', 'afae3a1f503aa2a6', '669f7951fd537e6d', 'bb8bf48bcdc83535', 'c877179754961e27', 'd194a6dd4069b4d3', '2accbb1980db8ef4', '173c27d1504d0119', 'e2d712ee16647b25', 'ab6e0144715e79c6', 'a43a86754796ef26']; context = [[16, 58], [37, 91], [2, 48], [50, 111], [19, 71], [37, 85], [19, 59], [41, 113], [22, 63], [18, 65], [0, 41], [43, 94], [3, 62], [61, 101], [4, 66], [134, 203]]; loss = 0.010528 low_pass_filter = 0.300
+Epoch 0: | | 27429/? [5:11:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 27430; scene = ['0c097b18870797b5', 'f8c179a0d6a215d6', '42a56723df581f2b', 'b887ad2fba113b46', '5ba48fe9cd340bbc', 'c781e8cdd6dcd9db', 'd516f4060df38c96', '9a539a8e149d73fe', 'f2c3c7f148852db3', 'c81e8fa280a42d5a', 'cd742360e61d786c', '063c449435fb28bd', '64c6dd8bf902c67a', '1387814bb50733f1', 'a2d7daabb93414a2', '00821987dfce6103']; context = [[60, 125], [22, 91], [33, 80], [22, 93], [135, 197], [10, 64], [30, 76], [50, 96], [52, 116], [45, 94], [7, 71], [15, 68], [79, 142], [207, 258], [68, 124], [53, 121]]; loss = 0.012712 low_pass_filter = 0.300
+Epoch 0: | | 27439/? [5:11:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 27440; scene = ['5b2278c4da769f90', 'ea65e9d79b43d884', 'a62b93604c9ba98d', '19e7498b055cd18a', '7a3ff212e5abac35', '456868d1c5435e89', 'ef20b49b3d0869c0', 'c29e55d96017bcc1', 'e713ee11cda7ecd7', '8811a6753f66c635', '70c5a81e8b7868cc', '4585f80cef08baaa', '5521185b98e972d0', 'c6e7b39d2ebedbdb', 'd3784c9108c25d42', '54c8e9c778b2fad8']; context = [[79, 144], [158, 221], [33, 90], [37, 91], [34, 96], [8, 64], [160, 199], [196, 257], [41, 87], [20, 72], [90, 131], [1, 50], [63, 119], [30, 73], [175, 227], [25, 69]]; loss = 0.008786 low_pass_filter = 0.300
+Epoch 0: | | 27449/? [5:11:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 27450; scene = ['9a70317122187ca4', '75e78d3a345b7e23', '97e4cb1ace3d2389', 'b70def164b856c89', 'f91b9393b23e69ff', 'a21c7fc61430286a', 'ea4fd7cc97844f81', 'ce3d2d997aad9619', '857cbbf6876e2bf3', 'b2d8fc68e6b91731', '8baf73d4c62c234f', '53d67e0708030be3', '7180ff013e6035c1', 'd85bf23db2a97502', '100fdf7a7ea656e5', '3ca07375c57023fd']; context = [[2, 71], [94, 148], [1, 51], [38, 91], [22, 89], [12, 83], [111, 174], [22, 84], [10, 57], [12, 82], [10, 71], [15, 83], [58, 127], [65, 107], [1, 60], [0, 53]]; loss = 0.012500 low_pass_filter = 0.300
+Epoch 0: | | 27459/? [5:12:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.0train step 27460; scene = ['68d25ae85d2f5cae', 'ac85da0c05c229e4', 'd61b2ffb090ab82e', '42e4f2d3c3e0772f', '352b202e22235f10', '44a584948320b074', '738543a84b2b0667', '2d6daea339faff88', 'e701cbe6c42dc34f', '1d6aa51d46f809e7', 'a3e33263e5faa97a', '3ff13c65e13f2cf8', '4f5a5e96fcc9724c', '3a2586efc4d0cbd8', '0e93d5a7e5dd9498', 'a61570f0477c3db0']; context = [[29, 101], [37, 88], [156, 198], [106, 166], [35, 74], [0, 72], [37, 90], [6, 46], [4, 69], [3, 68], [11, 68], [153, 224], [51, 123], [18, 68], [11, 51], [17, 61]]; loss = 0.008811 low_pass_filter = 0.300
+Epoch 0: | | 27469/? [5:12:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 27470; scene = ['e8148e6b8d2d270b', '9fc3f091cf4f8bd2', 'ce29cb3a552da119', 'f3fc106a7bbe2155', '74cbb85d64c53325', '5fce462dcd2dd40b', '6b2d9a2c36445976', '975359237122878f', '334d350f328f0f16', '24a2b811d49d576e', '2b5a333d84c3b569', 'b2ef256ba056dc78', 'b1f6069c3adc2edc', '5230034fddfd04b1', '4ca81426357081a3', 'b9e116b141210ec3']; context = [[53, 103], [104, 175], [75, 138], [32, 76], [16, 82], [39, 91], [2, 59], [3, 70], [45, 109], [20, 69], [8, 61], [28, 67], [46, 111], [1, 41], [92, 158], [78, 131]]; loss = 0.009598 low_pass_filter = 0.300
+Epoch 0: | | 27479/? [5:12:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 27480; scene = ['8ebbf8173feadc66', '6111cc7ea1cba4c9', '8449ce38df1d5159', '5b18716a0a11c1b3', '2bc233194c717b24', '103ff72c7bde3074', '5daf60c2889a7f27', '2beac37f687333f5', '19f6678bdf05a160', '388f3f84cae62fff', 'eb6059040fefa2cf', '4e9d22f52c911e0e', 'cc9379471477aa68', '1f8af6d19b8dfcbc', '481b7b29b87bf543', 'dd16d8d3c1f7cafe']; context = [[59, 104], [51, 119], [34, 90], [40, 111], [2, 48], [22, 69], [40, 93], [18, 81], [14, 72], [54, 121], [22, 63], [26, 69], [0, 53], [34, 102], [63, 106], [60, 106]]; loss = 0.010974 low_pass_filter = 0.300
+Epoch 0: | | 27489/? [5:12:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 27490; scene = ['3f104b93372efcda', 'ec736f79975228d9', '6e81169e32e8c8e9', 'f0a566ed68e65b62', '41604fbf6dacd451', '33ed8d0df5f8c20d', 'd58001b541d912dc', '88e6344986a03450', 'd9d98cda23d10c9b', 'f0d33a2db693635a', 'de1f080af877df76', '4ab0fc22f4d9bd6b', '38e8301a4405eca6', '992f739dba95f93a', '6093fe2362714108', 'cc8e19c8ad1846f4']; context = [[16, 57], [93, 136], [42, 91], [93, 157], [14, 64], [45, 87], [107, 155], [74, 146], [74, 131], [2, 44], [76, 135], [0, 46], [5, 53], [0, 54], [15, 80], [0, 47]]; loss = 0.010010 low_pass_filter = 0.300
+Epoch 0: | | 27499/? [5:12:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 27500; scene = ['c37b454f5da63294', '0fa74425b75be77d', '260daae5c4e5ef5a', '96cb3db75422f95b', 'c4b188678255126c', 'ade44bf3e35c9262', '1bccb21ba03d97ee', '94eaf5be2556470b', '5ff62b81e127cc0a', '0315e41f172fd12f', '2c37b4aa102fcb10', '4845d1d4cf79ba47', 'd6fd3cc56301f094', 'c3130fed2437a498', '1af13fa31de17e0f', 'abd6874099d218bd']; context = [[14, 58], [8, 59], [141, 191], [183, 238], [6, 45], [29, 101], [6, 68], [135, 191], [74, 133], [35, 105], [74, 141], [112, 170], [3, 66], [16, 81], [15, 81], [18, 60]]; loss = 0.011009 low_pass_filter = 0.300
+Epoch 0: | | 27509/? [5:12:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 27510; scene = ['0d11d12c93f624c4', '9d825e84a98395fd', 'a810c60104f378ad', 'eea3b04c40bb7d2f', 'e9fa89d8a88680f6', 'ed88cba27d1253aa', '358c76c017169cbe', '3443a368dfa7d6a6', 'd8583a6600010856', '9d156dc70e89888b', 'd6a89c16aaab7af1', 'eec05afefdf40ec8', '3f71dccb016a848f', '9be98871c79172bc', '18fab33114eb4b24', 'acf6cfa881ce0e5d']; context = [[12, 63], [135, 188], [85, 128], [134, 205], [11, 68], [4, 49], [43, 104], [3, 75], [35, 85], [11, 60], [85, 147], [17, 71], [58, 117], [5, 52], [48, 87], [29, 98]]; loss = 0.008592 low_pass_filter = 0.300
+Epoch 0: | | 27519/? [5:12:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 27520; scene = ['56eb20b2659dac4c', 'fe529b17be1d94ed', '55a60a0830766221', '419b6989160e3606', 'db9a1ba4eab8b3c9', '5816deaba41a899d', '3e67b481ef280294', '963389198f0d43c9', '82c4af6d697ddba5', 'd96447ccfd1daf81', '4f07c7aeda6dfd54', '6dc6bdc8ea4b6034', '246a0bdee01d12f1', '5ca47925cdd3c7ce', 'e783de3eb3d285a0', '7eecf8d8b64017b1']; context = [[11, 53], [56, 126], [8, 72], [22, 72], [12, 68], [4, 55], [1, 65], [23, 65], [1, 55], [37, 88], [16, 79], [135, 185], [1, 52], [198, 243], [17, 67], [23, 66]]; loss = 0.010599 low_pass_filter = 0.300
+Epoch 0: | | 27529/? [5:12:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 27530; scene = ['472c6da60ce7c148', 'a8d37772aaad1161', 'b6bc533cae48ea5a', '12e0cd73e03185be', 'bf1be07d9e719270', '916cff79bab5c96a', '282ff31ba697ef6f', 'f55137ed9c15c6c6', '89367ed9904ef5a1', '89680a7f11b75421', '99a47f816620e8d5', 'ef9a9a9d9f9d48d8', 'f0f62401af0e2e2f', '299413c1beb0e49e', '3d091f661f2b9fd3', '93a3175cacb5cb3a']; context = [[1, 69], [19, 89], [8, 65], [6, 71], [93, 158], [48, 89], [30, 78], [28, 98], [4, 54], [8, 52], [28, 82], [9, 58], [145, 217], [0, 39], [71, 117], [29, 75]]; loss = 0.009237 low_pass_filter = 0.300
+Epoch 0: | | 27539/? [5:12:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 27540; scene = ['f20cf4a70116d38e', '47a2a8b326b9f40e', '2186daafa25b96fb', '52eb80f0c2d7871a', '194a9facebe12d0b', '4e6d33c952bfcaa4', '0d754618c77e44f6', 'bf07bf11839f5d12', 'c4d245912b2d96d5', '33bf05eb6f7b366c', '027555111a253d5b', '88dbf667504fc6d0', '79f91294f0c6427d', '993b9c8748ada295', '79fd1c101e824424', '05d25ebd7804e6d3']; context = [[6, 75], [9, 49], [19, 72], [12, 53], [61, 101], [96, 158], [41, 85], [231, 278], [53, 117], [56, 126], [53, 107], [16, 65], [6, 77], [69, 129], [4, 63], [95, 144]]; loss = 0.008607 low_pass_filter = 0.300
+Epoch 0: | | 27549/? [5:13:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 27550; scene = ['f4a0716baf89c85a', '6bb980981d578f1c', 'b66b5fe75bc57149', '2eff7289cd293852', '715b259ea9988c79', '5e3ea271106a0019', 'f1ad34b317f596a8', '54b7cd4104a189b3', '5a33c3fd335205dd', '6d5a7765a9f78f05', '1646e618e848d6d4', '92243f1c96656398', '3d3570cae9dd24b2', '62dfb6acac4e7353', '8323efaeeeb08726', '3a118f5199067e38']; context = [[30, 74], [13, 59], [118, 189], [2, 63], [7, 73], [4, 49], [9, 59], [50, 117], [13, 72], [13, 67], [78, 144], [82, 151], [40, 105], [57, 100], [106, 150], [94, 143]]; loss = 0.010117 low_pass_filter = 0.300
+Epoch 0: | | 27559/? [5:13:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 27560; scene = ['ade3f590a7be2328', '8e7f0e79819eb6aa', '157baee638f35a22', '8db13e90869643d9', '4f7347ee36e438dd', '93d09ea08f99b64a', 'de93573d31cff904', '63ba92b34d3fde69', '78872a6ded88d2eb', '34adc24af2d7960f', '661d465e98bec126', '1bc367ba2b28912f', 'bc2a7a37df0cdb53', '102d19c9e7f4cbf8', '5cc5a65c5d2b03ee', '7c996dd6ba66b365']; context = [[176, 224], [22, 70], [135, 205], [19, 89], [69, 139], [0, 61], [132, 187], [44, 88], [0, 40], [42, 104], [22, 86], [25, 82], [60, 103], [8, 52], [0, 57], [1, 50]]; loss = 0.009170 low_pass_filter = 0.300
+Epoch 0: | | 27569/? [5:13:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 27570; scene = ['efdce6a9976d3a61', '84de411e2f045078', '7b10966e85164c25', '26b2c1728be65cbf', '7d7759b7cb06c9a3', 'af5a2cdd7f1dc3c4', 'e5a0aa552fa5c442', '41cbd594e78532c4', 'ec667fb58c6d3a6c', '1e69c0ba9e7fb023', '3b0c6fee0faecce2', '0dc7065a7b99d535', '74930e8389574a41', '63513ee2e5e74f65', '4bf8f4e620c27a0e', 'c21f6c67e7509e1c']; context = [[15, 75], [147, 191], [72, 113], [28, 86], [27, 69], [140, 193], [33, 96], [3, 44], [19, 61], [21, 89], [135, 189], [70, 134], [95, 157], [8, 48], [7, 66], [41, 105]]; loss = 0.013905 low_pass_filter = 0.300
+Epoch 0: | | 27579/? [5:13:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 27580; scene = ['2c829a056844b920', 'da730944311546b9', '24b61a5f82f26bdf', '4d836c051f02de01', '24d33601b8e09152', '3caa89905a59e7e6', 'caf9ede6207be244', '4b1e9951025df85e', 'b35989ec71b82d59', 'd0671d8cba320b2b', '9d83d265a6f6743e', '0ffb281660c6cb11', 'c092a25d4ba3ff11', '2a63d1563f12cd02', '71f703b6d8c4ab1b', '08da23838ee6e23b']; context = [[51, 96], [3, 74], [18, 74], [20, 60], [78, 142], [34, 102], [171, 213], [122, 194], [70, 140], [22, 87], [2, 52], [43, 99], [24, 84], [193, 250], [33, 85], [0, 67]]; loss = 0.011517 low_pass_filter = 0.300
+Epoch 0: | | 27589/? [5:13:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 27590; scene = ['db5e3b998bc94027', 'b75f3820760d835c', '2f261ec99e601af5', '458e67c3c4dfbf24', 'ea048e21097e9eae', '482ceff1527f21e1', 'd3b36dc75c49581b', '323bdfae8bc5f180', '18c387ae52ec7b2b', '04334b719bab18e6', '26cf6203b5529728', 'b4e91f9bcd03f6c7', 'e3912708738ed398', '74eba9be56fdee5e', 'aa09352702c3e9ec', '38f50a03d51f7cd4']; context = [[1, 53], [0, 52], [11, 50], [47, 115], [56, 122], [34, 97], [1, 40], [5, 51], [11, 56], [16, 59], [22, 87], [78, 143], [16, 58], [66, 123], [118, 160], [11, 64]]; loss = 0.009749 low_pass_filter = 0.300
+Epoch 0: | | 27599/? [5:13:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 27600; scene = ['05c52e8ba8c5cbdc', '205015c1687f087c', 'adab6b638da78c1f', '995229823cee33f1', 'fcb6c8553cea825f', 'b18342b4830b0a53', '88877d752d646541', '486585554880b445', '8d09f95e8cd20fb3', '6b34873a45d50903', 'efe5ec82744133d7', '6b208a24453bcb54', 'd8bef9a942687b34', '15932282402d4c97', '5f48e405296a0612', '1a0692f3ed3b343d']; context = [[74, 116], [30, 87], [6, 48], [2, 43], [12, 66], [59, 111], [2, 41], [125, 180], [37, 99], [39, 86], [123, 192], [72, 113], [131, 199], [139, 211], [9, 79], [60, 101]]; loss = 0.010269 low_pass_filter = 0.300
+Epoch 0: | | 27609/? [5:13:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 27610; scene = ['13c1203193cd28c1', 'cd552e321923c4b2', '369e9677f8dfcfb5', 'fc6cc5edd65440c8', 'bcbd422c5506815b', '1f2fe0d464f61de0', 'f4e639c0c0c58d2f', 'bcfb6fd4173ca1ef', '70433ba7c4f514ba', 'd476c136d6fe6cd9', '3b7c67b6632b1c74', 'edcdfad297756b43', '983944b4dd64677d', '8a11b9190b9c768c', '0e57d2d8655afebb', 'c6ddb4bd6ef6f42c']; context = [[10, 69], [156, 218], [52, 121], [21, 85], [0, 49], [65, 120], [20, 67], [20, 89], [0, 40], [26, 75], [161, 214], [191, 245], [7, 48], [12, 73], [9, 52], [1, 65]]; loss = 0.012730 low_pass_filter = 0.300
+Epoch 0: | | 27619/? [5:13:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 27620; scene = ['eb0b0f7457e2a430', '0d7d697af93bbebc', '9ef5b77b6ce7235a', '40990b4eb108c003', 'ca738f440873a7ac', '32f21d507431102a', 'cd7942b83b5de1dd', '937c5776c7311396', '9ea9c23612f4febf', '4fd9d45647d536e5', 'ede1a18c89abe3dd', '4856e6d863a32e60', '2a3e630ec3bdb846', '43b9a1cebcee9f70', '3562ce0ddbf1d45e', 'c95f1f846f48d813']; context = [[9, 53], [9, 52], [2, 50], [23, 69], [8, 47], [18, 75], [40, 82], [23, 79], [11, 66], [20, 78], [8, 79], [28, 94], [41, 85], [44, 99], [9, 61], [135, 178]]; loss = 0.008748 low_pass_filter = 0.300
+Epoch 0: | | 27629/? [5:13:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 27630; scene = ['98c52825e7ffac25', '1b88911bf16bb6ed', '879d7f9c93e40924', 'd63fda54f2f8070d', '20b3dec78e071258', 'a402cc3003cb8785', 'c5ac88f14d0b15ca', '5f64c40f03d6afdb', '6ef374c70b8143ba', '3d254dd811b1350f', '2cf2d2545b3f329a', '7df474deec3b804e', 'c6d8b4ad1f0a29d1', '7a2ccada5444997a', '7a353cd4d421d425', 'cc2938391b3d5a80']; context = [[0, 50], [151, 212], [75, 120], [0, 39], [87, 136], [171, 210], [139, 206], [30, 85], [25, 83], [1, 55], [21, 81], [80, 124], [0, 64], [73, 124], [0, 40], [27, 88]]; loss = 0.009966 low_pass_filter = 0.300
+Epoch 0: | | 27639/? [5:14:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 27640; scene = ['20467fe97121072c', '651dd13b1dab9b01', '251366dc002bf6c3', '742797055a67c950', 'aeb17dab82aa05ac', '821c671b230a1ed7', '6be0a940423eafdf', '8affa132fa270700', 'fa6335a92d7faa48', '955559418313af15', '4dfd54f3098821dd', '2f954072e9834dc2', '547e4e06b1a865a8', '0ff1ada6d68e835c', 'a88fe04e539fdc97', '485d3236b9e66ff4']; context = [[47, 97], [0, 67], [59, 111], [0, 41], [0, 51], [24, 64], [2, 58], [9, 59], [101, 162], [155, 204], [2, 46], [6, 77], [50, 91], [0, 40], [5, 47], [4, 50]]; loss = 0.008385 low_pass_filter = 0.300
+Epoch 0: | | 27649/? [5:14:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 27650; scene = ['9d1d43c1047d4f6e', 'ac22b394a79b025d', 'c0c21b050511ef76', 'dea4f2fd63133d6f', 'b2262395c0d1bb4d', '82d16f436a69a71c', 'dbb0eec549cb5e45', '704f321e2f7ae62f', '1ab9594c7015ecdc', '96b288f5d1c515bc', 'faec00f5ad1203b9', '6a770609acf21a54', '117c40ed2a9e43f3', 'c315feff5caaf789', '68eda0e3a97731dc', '97be5aef5a551277']; context = [[4, 44], [3, 65], [87, 131], [133, 174], [195, 254], [2, 52], [3, 66], [110, 155], [49, 107], [54, 98], [3, 49], [65, 104], [16, 55], [53, 121], [3, 44], [7, 65]]; loss = 0.011200 low_pass_filter = 0.300
+Epoch 0: | | 27659/? [5:14:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 27660; scene = ['2dfd63e7d38e06ea', 'a4c1fe839c7b6b5f', '14c0aa61fca970df', 'b654a339b448e249', '3bf7857bb7d748c9', '9620840e96b2d2b6', '3f3f4045bd24d60b', '24f290d5a56f7558', '19e64da989875378', '4b6052c5b5512c05', 'ee58d3e6ed02667e', '60c0ce7c9ccbc383', 'f34fc9a1fbf6a05b', '743b4f5c1da80b89', 'fb1ec62bc72d0af5', '722803657cfd20e9']; context = [[28, 94], [30, 99], [97, 142], [47, 105], [31, 91], [11, 66], [3, 65], [1, 49], [59, 126], [203, 264], [0, 57], [63, 117], [48, 100], [48, 98], [42, 87], [82, 127]]; loss = 0.010075 low_pass_filter = 0.300
+Epoch 0: | | 27669/? [5:14:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 27670; scene = ['43ce05d6475da02d', 'f026c8f1c91ab212', '798149529949f159', '712676205fed832e', '19ab113385187a33', 'd06e8e0e19cbac49', 'e2def0f395897d80', 'f8b30c578da2a67f', '4685032f7cf33684', 'de7aa7d53bd63a7b', '80f0b92d65aad85f', 'bf5e568f2fd566c8', '111f2a26b60fd1e9', 'eb7be33912a30b4d', '84727cf519681ecc', '8038a594dd50c839']; context = [[0, 62], [57, 114], [0, 71], [0, 70], [2, 49], [65, 109], [24, 65], [47, 92], [1, 48], [139, 197], [38, 80], [71, 120], [19, 74], [26, 74], [25, 77], [40, 111]]; loss = 0.010409 low_pass_filter = 0.300
+Epoch 0: | | 27679/? [5:14:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 27680; scene = ['9b916b164d618877', '88261e13957b0e4e', '28e1889569b206aa', 'db537420efada436', '1899f9503591706a', '0935b1ed5367813c', 'dfd7ac5b3120d4d4', '76da738b80b894c6', 'dd8f995702591ba7', '7b2378ebd9c53c89', '9d4bb3c6783e57a8', '909da0bab82b1291', '23c1ccdbb82ee29c', '0b33181143dd3303', '9923d4ba5dd6e67c', 'bb31564840f2db2f']; context = [[25, 84], [20, 78], [22, 85], [15, 76], [24, 86], [34, 104], [74, 132], [191, 238], [8, 53], [44, 86], [9, 58], [0, 43], [52, 104], [121, 166], [1, 49], [16, 78]]; loss = 0.009810 low_pass_filter = 0.300
+Epoch 0: | | 27689/? [5:14:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 27690; scene = ['08795007f7dbe014', '970d8b8f32b657c7', '742400ae02982a58', '463338d27813b202', '32a01427f04b7038', '592c1eea73fa43a2', '944da8caf16bf01d', '2dfd824c1516f925', 'ea34fe29b32d99f1', 'b88db7960be465ab', '359af2b0f4c26712', 'c21a7d55e154f542', 'ba94402402fc0c58', '9928ce087f146444', '33adc68fe41da745', 'c301d66da36ab4f6']; context = [[57, 110], [14, 54], [45, 110], [9, 62], [15, 55], [18, 80], [133, 201], [23, 64], [46, 110], [89, 130], [25, 89], [46, 89], [62, 112], [66, 111], [21, 82], [30, 78]]; loss = 0.010252 low_pass_filter = 0.300
+Epoch 0: | | 27699/? [5:14:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 27700; scene = ['7791ac83acc95bc6', '75cbf5f3c4e202b5', 'c6d16d8171fd7cd9', 'c43f6cb71bd73cdc', '966efe3a05c222e3', 'ad459619c3a9a247', 'b6f83789a98ce8b6', '9fa220aa45f74fd9', '63b915dc33b4d8b8', 'f0ff115bde902220', '71a4cd14a004b0c4', '089c0a30c1f1841a', '94a9f9168de39459', '2d003de6870dadb4', 'de2ff60e64b5c5c5', 'e76f0e42740bcddf']; context = [[107, 169], [215, 271], [5, 62], [176, 228], [49, 98], [53, 97], [13, 68], [24, 74], [6, 70], [14, 80], [58, 108], [131, 180], [129, 193], [10, 63], [194, 259], [117, 162]]; loss = 0.011765 low_pass_filter = 0.300
+Epoch 0: | | 27709/? [5:14:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 27710; scene = ['a2012fea65fdb1d1', '1d260e4bebf2c0e6', 'd8e1cd667f0c5721', 'bd64124de2aaeb79', '3834d878ae1525c6', '027f46042d62d8dd', '5a661bc2c6c62f59', '615d5da2368e312c', 'e83f9a06c24e0a28', '56ce9c5595c74ce5', '69c9010e3d4209bc', 'c544ed479973807f', '07891f56f57ac39d', 'ef380960d4d8a206', '33087de9d002ffd0', '55ef7e7acbe84587']; context = [[39, 104], [14, 85], [24, 68], [19, 84], [50, 103], [101, 169], [4, 56], [70, 115], [186, 225], [3, 63], [37, 100], [11, 69], [78, 131], [25, 78], [4, 47], [0, 62]]; loss = 0.008025 low_pass_filter = 0.300
+Epoch 0: | | 27719/? [5:14:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 27720; scene = ['79b98ca7a10a7ec0', '9d47d4a28f90eed6', '0c8ed42959e3baa1', 'a9076cefdaf187db', 'bc18ef9da9266ea1', '405fb698ebbbc72f', 'dcf314f2c3a6e7f3', 'f3cbbc8038b28dfd', '1a05eadb5bfe9298', '18cd81fd43802ca0', 'acc0f662d42adce1', 'ed669c1a448bb28c', '936403cfc9f2dc63', '43e44e88bc273916', 'fcfd27c98731e0cb', '04364d8a8da17216']; context = [[31, 72], [112, 163], [46, 93], [59, 98], [49, 119], [1, 62], [122, 178], [144, 194], [19, 78], [57, 118], [41, 99], [24, 91], [20, 89], [26, 78], [29, 92], [72, 117]]; loss = 0.011009 low_pass_filter = 0.300
+Epoch 0: | | 27729/? [5:15:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 27730; scene = ['a9e0d85c2f54cf4d', '272f6e764e09c05f', '77cf345e3fadab72', 'a548a64351982b0e', '35a97ea535944eac', 'ee2ccb008e1780a9', '77a0fdc6389de36b', 'edf8fdfe10fb893c', '34769f82ff4b286c', '2bf2121510674b04', '04c4c5a25b4ccb21', '17d74baebc458fb9', '2804817967c9ab8b', '1fba7a1a16edf7db', '232da3c3c432bcf5', '4df2a98cf2678d8c']; context = [[18, 76], [112, 156], [8, 50], [50, 121], [54, 113], [0, 44], [13, 73], [108, 151], [0, 63], [163, 203], [45, 85], [3, 68], [98, 161], [2, 53], [4, 49], [123, 164]]; loss = 0.013130 low_pass_filter = 0.300
+Epoch 0: | | 27739/? [5:15:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 27740; scene = ['8d6d63fc0319773d', 'a943ba6f8905b420', '3f1ba6d26920ff8e', 'ede92a46c8dd0f52', 'd9ce36aa8de182bc', '64082c7dc15fa79d', 'd347f976ced5d74c', '8cff663bbb394999', 'dfa7a182916c12e1', 'a9bf3348f1e83705', 'e7b77b29b8726843', 'a21e21e40f9db94d', '57ccd86b6a8979b3', '458eeba74b812c02', 'c74adb4381e65e99', '0d90ed598558a194']; context = [[56, 109], [35, 76], [94, 143], [17, 73], [94, 146], [71, 126], [1, 67], [62, 102], [10, 49], [2, 71], [30, 71], [20, 89], [32, 92], [79, 137], [16, 77], [44, 99]]; loss = 0.011843 low_pass_filter = 0.300
+Epoch 0: | | 27749/? [5:15:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 27750; scene = ['3f075565092a0ab4', '210a554ba8d9cd87', 'e18573d92ab9ebf6', '70b657330ca11de8', '481eaa0e0208530c', '5635970d790ef23e', '3afb5d28d32fe31b', 'f5b22f85a5ab4806', '9fea16da5934281d', '7665f3aca38b0220', '4ea42f87aebcb998', '8d0a735a877f6368', '48252a4b54c04894', 'fe53ac06ff2c6263', '6fa213735bf0ea55', '54c42c5b41dede35']; context = [[94, 158], [33, 95], [125, 180], [19, 80], [36, 83], [76, 142], [10, 70], [8, 60], [70, 129], [30, 90], [101, 140], [9, 56], [30, 89], [10, 77], [4, 59], [78, 121]]; loss = 0.013172 low_pass_filter = 0.300
+Epoch 0: | | 27759/? [5:15:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 27760; scene = ['903f7c6f848de281', '607acbde108694e4', 'fc13b2d2ffbcffe8', '644b75fbb7a4ae21', '5e1afe14aead7542', '1ac4cfaff40371ba', 'b5f5bd68eb8e3559', '96422d8d95f912c1', '3eeebb67b68de53a', '9ee8d96d6bc2de0a', 'd5b16e5b51d9d8d0', 'deb466cc3488ab16', '74acf5f2f5dac8ff', '53f1374e843f9f79', 'a77a3415d5f25583', 'a30e87ca123b7dcc']; context = [[36, 104], [172, 224], [92, 134], [2, 75], [99, 169], [119, 160], [34, 101], [1, 62], [214, 257], [212, 275], [38, 80], [13, 56], [62, 131], [33, 93], [27, 98], [197, 270]]; loss = 0.011412 low_pass_filter = 0.300
+Epoch 0: | | 27769/? [5:15:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.40, train/active_min_children_step=4.0train step 27770; scene = ['c26d5d12513a89f0', 'dfb732656fe8d87d', '8dbbda348bab6e09', '3650d51c6e815a8f', '7e7304071e8c46bf', '02895e8b4e269177', '005c440a72e93b03', '6d59697bc66e7dab', '015cc846a79bd3bc', '9fa1697870cd2212', '35ac2da38eaff5c1', '9444787f48a50cae', 'e3e872cb421fb27b', 'c5d83d3dc6ee634c', '8d3bba01b2043d82', 'e62eb323e888a344']; context = [[37, 102], [1, 64], [34, 96], [20, 76], [12, 85], [2, 74], [41, 98], [0, 59], [7, 77], [65, 125], [56, 101], [136, 188], [14, 74], [1, 64], [8, 72], [47, 113]]; loss = 0.010118 low_pass_filter = 0.300
+Epoch 0: | | 27779/? [5:15:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 27780; scene = ['036fdcef477396ee', '600e0fb99c2b3817', 'e4353269f69c4e0f', 'f744455fc964a260', 'cc08397f41911501', 'db52871fc7ca0bfd', 'ca62e7774f3d688b', '6f4019062371b8fe', 'fe2250f23e91261e', '46098a3607b75cd0', '98d35dadb621cdd3', '56f34e5d22caa2dd', 'b14338773e321e61', 'd58001b541d912dc', '88e6344986a03450', 'd9d98cda23d10c9b']; context = [[104, 173], [33, 79], [5, 55], [23, 93], [19, 61], [65, 112], [130, 175], [5, 56], [7, 58], [99, 139], [3, 65], [74, 121], [3, 62], [24, 78], [126, 186], [61, 116]]; loss = 0.010079 low_pass_filter = 0.300
+Epoch 0: | | 27789/? [5:15:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 27790; scene = ['2e2f1ccf62989277', '669a178ba2796066', 'd0e701163b3237c4', 'a490e682ff266afe', 'aa41eb9219ec67a4', '44b47f1ce0a9d648', '1e1be68e5d2c0b80', '5a99e1d90d1ac9a9', 'bb6c0a11d8e4853b', 'fa3629688684df1f', 'ceccbecac655b01c', 'db604dcd44e99d65', '2ba9777778fe9973', 'cafb7b387787db6b', '0be127358da454de', 'da3a6901f12a6e59']; context = [[37, 81], [6, 50], [39, 102], [21, 63], [10, 49], [45, 91], [92, 135], [17, 83], [76, 117], [10, 68], [0, 62], [96, 137], [111, 163], [182, 254], [22, 66], [196, 267]]; loss = 0.013093 low_pass_filter = 0.300
+Epoch 0: | | 27799/? [5:15:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 27800; scene = ['2ea576c9827ada9c', '36836948d81feb91', '673f289319d805dc', '6736bff536cac8cf', 'deaff9fb0452f93a', '1f7737edc0fcffd9', '10b875c6e935ee0e', 'f98cb4f86c049782', '8d7a067e39abbbba', '2083d004f0de3ae6', 'ef172dd582fa42bf', '48a97d2034b51f63', 'c2c7481ec7a1e077', '773cc15e1c1cc394', '490a9a7a8e9627f7', '2c4314b7fe7822b0']; context = [[13, 52], [47, 113], [4, 45], [2, 72], [23, 77], [130, 181], [118, 166], [39, 108], [167, 216], [27, 89], [12, 63], [64, 131], [29, 72], [5, 56], [13, 73], [10, 59]]; loss = 0.007921 low_pass_filter = 0.300
+Epoch 0: | | 27809/? [5:15:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 27810; scene = ['d5faf108392dbf89', '3a4c5992f0c9ccac', 'f917dd00fcdf0961', '69ff3da8fa31673e', '3d6544d711c2db4c', 'ca982d77bc953b5a', '1745b07cd7862df1', '00b180c077d3e3d4', '6c16eea5b4727239', '90b8a7971706986e', '29cda2ca5f4a1dda', '7b4006c02dddd695', '047927ab286923c2', '9eb99257b0499b06', '745ad1cee81a6a56', 'a7264b9005fa40fd']; context = [[19, 62], [114, 181], [1, 57], [30, 89], [102, 158], [137, 209], [3, 45], [48, 113], [83, 151], [33, 78], [0, 39], [35, 82], [2, 48], [20, 81], [1, 40], [179, 250]]; loss = 0.009929 low_pass_filter = 0.300
+Epoch 0: | | 27819/? [5:16:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 27820; scene = ['ea6c5ba4e270d851', '0c61bf4c72eee218', 'cbddb92c8ec477b8', '441344c9b1093515', '8060b04ab454bb81', '590f202b18a0a562', '339350221e336f10', 'f107b68f4a5f2f10', '1d3d9af5e8de4a67', 'fcc4e26b563a8d96', '26c6bb0e2234698b', '20d6ec0f2bc94541', '5d9526b17d8736a3', '89ad475d12af1821', 'cd4599abebf9d60d', 'aad7773777457cae']; context = [[64, 132], [4, 56], [22, 73], [9, 49], [27, 77], [151, 203], [6, 49], [35, 103], [38, 95], [91, 141], [19, 75], [26, 70], [54, 108], [37, 101], [14, 77], [143, 211]]; loss = 0.009668 low_pass_filter = 0.300
+Epoch 0: | | 27829/? [5:16:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 27830; scene = ['8c8885e9f17b9274', '59029ee2996b0ab1', 'a4e41a67cc55ca5e', 'bc2e945b1756b46c', '7a7a72defe7bcef1', '9a372cf24e8024be', '236b1ba502dbd80c', '6f1705cdf4a6ed55', 'e03120267bb97141', 'c1ce8750dfdcbfa7', 'daf86b37910a1654', 'efae468fa7691c75', '5604225ddca0c7d5', '7ad1fce2b0339169', '6a45430a21453285', 'b25bb04a13a2429d']; context = [[0, 71], [21, 75], [10, 69], [79, 140], [120, 184], [17, 89], [3, 45], [75, 142], [167, 211], [6, 68], [0, 68], [155, 203], [224, 275], [33, 75], [23, 85], [30, 86]]; loss = 0.011537 low_pass_filter = 0.300
+Epoch 0: | | 27839/? [5:16:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 27840; scene = ['287f04b4d4c3d565', 'eefd18e172ae4596', '40d62c1c34dcb4ad', '4dce6855bd78d472', '463a721c706cb237', '4213a78b00a65962', 'e598c6c4d23a5619', '27b5502283386ee3', '4610410bd5d02055', '49f642c0373c7e78', 'bbd574fc81d02bf9', '73c5ddec7618bb6e', '2e72193bbf197bd5', '2653a2f787580744', '9c72bd16d6b22437', '80e81e341b65a870']; context = [[60, 111], [17, 74], [80, 148], [5, 45], [110, 175], [75, 136], [8, 73], [2, 49], [220, 277], [112, 180], [215, 262], [31, 76], [120, 176], [17, 74], [149, 201], [55, 104]]; loss = 0.009409 low_pass_filter = 0.300
+Epoch 0: | | 27849/? [5:16:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 27850; scene = ['277df596054b969a', '0b845dc703c23621', 'e2ddac2cd9b23fe3', '8ec32dd001a2b529', '96489fd56f875313', '87b39fab5d5d0845', 'fcc7db4ad1f2444f', '9dace42deebd482f', '73b234b2701f10c5', '589eca489876d5ce', 'c24e778228e92bab', '129aa9e63c248582', 'afbf21db765f449f', 'eb864005eb96e04e', 'cc0f96cc71a6dd66', '6ad946dc7c7a5ae7']; context = [[26, 67], [35, 81], [68, 109], [3, 58], [9, 82], [10, 64], [66, 113], [34, 84], [5, 44], [15, 56], [0, 41], [53, 123], [2, 51], [83, 126], [2, 64], [20, 61]]; loss = 0.009393 low_pass_filter = 0.300
+Epoch 0: | | 27859/? [5:16:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 27860; scene = ['3cf744c34871eadc', '509c0508abb2ba89', 'd72595b1e4d300b8', 'dd9d19ccfa8af8c3', '39035161d5f665ba', 'de772800746f474d', 'abb870c463ad6694', '1e3d79dd018ee0ef', '693c174950303e1a', '601f958df441c7c3', 'e1e9e69901a40e12', '8aaf364e9e56819e', '224cd9063e37816c', '711190f70f36060b', '7a0eb41a0f19e724', '710cf7a86b4c5965']; context = [[21, 85], [58, 117], [34, 89], [13, 82], [1, 57], [85, 140], [4, 60], [1, 74], [28, 84], [44, 89], [50, 114], [10, 56], [147, 187], [41, 100], [78, 133], [22, 67]]; loss = 0.010142 low_pass_filter = 0.300
+Epoch 0: | | 27869/? [5:16:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 27870; scene = ['c219d2148d02d548', 'dd17004fbd4dcc42', '6ceee3e441827b1c', 'fc4456fea1c67e5d', '50d7e64b19747fad', 'a6e5fde299dbd66b', '59491fbde19676bc', 'da3850d0382a6145', '46baf2007c7de989', '7f8dde6252e1ed13', '22d6bc367304c934', '01272cb3e77d7aa3', 'e09552a1d3ff9da2', 'f1e0fc96c0c84a64', '0c00add2df364424', 'a2379d62fc9f4644']; context = [[64, 120], [41, 110], [52, 100], [71, 111], [1, 53], [6, 58], [122, 168], [54, 103], [29, 75], [7, 72], [12, 51], [72, 117], [114, 158], [139, 190], [58, 114], [3, 47]]; loss = 0.008864 low_pass_filter = 0.300
+Epoch 0: | | 27879/? [5:16:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 27880; scene = ['7836200c75b0e42d', '2ae079dcad63c1c1', 'e93bb5f352f12779', 'b9e20c6ca2630cad', '02ce170824e128dd', '41454feb44f3cc7f', '8d89803ec0446d0e', 'f39f139a01476176', 'f8961efbf6e73ce5', '50d6d19613455b86', '29a47ea47b953e37', '129bba31edcccb2b', '485e4c3a23558aab', '824e5d9fe8f9fe1d', '45ab71fe50becdee', '6549544819976e02']; context = [[12, 55], [193, 237], [81, 136], [30, 76], [193, 250], [13, 71], [13, 85], [58, 106], [9, 75], [84, 132], [36, 93], [84, 129], [47, 92], [112, 170], [2, 62], [9, 58]]; loss = 0.009478 low_pass_filter = 0.300
+Epoch 0: | | 27889/? [5:16:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 27890; scene = ['ca0ef4335afc5644', 'cb818807e848d9c8', '584403b16a766bc4', 'd2ae259bb6a6935c', 'fd7f996ea6606892', '7e062d231f9f28d5', '2f38640c40521949', '7eed7143b1d9bdf1', '2ab2d93f8f85cee3', '91f9e00c7c8f26ae', '083dd412e66fa8e1', '4163aae5c14c2259', '595377a9a51559a6', '1ff6f068edd2bc64', '9beac3cf904bf329', '25672d21b37e4869']; context = [[57, 103], [11, 62], [27, 66], [158, 204], [18, 82], [199, 265], [21, 62], [2, 43], [72, 117], [2, 67], [80, 124], [8, 60], [3, 57], [6, 75], [12, 52], [16, 75]]; loss = 0.009500 low_pass_filter = 0.300
+Epoch 0: | | 27899/? [5:16:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 27900; scene = ['adaeedc8b4e18bcd', '3c8cc7b6f503fdb3', '0808089b36ee2e6e', '90daa00e8511dc42', '9e96c9dd6e3fc876', 'c509e6e7aee4fed8', 'ce4fa27b4ee5955b', '5bf1d42524c02fb8', 'b41d3898f57085e3', '2598b88b7b7d2119', '011fbca4c333495f', 'b8e91cbe57d886af', 'fd796259bef6cab0', 'a308376472392fc6', '5aad4a21ce37e53e', 'e7b0248022eae778']; context = [[125, 167], [6, 53], [2, 41], [10, 51], [23, 63], [4, 70], [0, 65], [35, 85], [136, 190], [55, 102], [11, 53], [48, 108], [191, 264], [7, 61], [2, 48], [14, 59]]; loss = 0.009813 low_pass_filter = 0.300
+Epoch 0: | | 27909/? [5:17:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 27910; scene = ['6b65ff9c9cbf081c', 'fd49de1335b98352', '53c27ddd5ade14e1', '4618698bb2ab83d8', '6f5e801f06d3049e', '642cab214d35f82c', 'fa35f9e55bbdde00', '4f40c57cfb094233', '74d7c2adcecd2b30', 'a28c0b4342f96095', '972d1682e9cd6bce', '739a34f9967644b1', 'd11d6c1af1241641', 'f2358c2b5ee6dec7', '5413aa42cf24a615', '9afa50a185693113']; context = [[2, 50], [19, 91], [20, 61], [55, 100], [2, 48], [2, 58], [5, 76], [25, 67], [0, 71], [61, 105], [10, 83], [2, 52], [12, 84], [28, 67], [143, 195], [3, 75]]; loss = 0.009016 low_pass_filter = 0.300
+Epoch 0: | | 27919/? [5:17:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 27920; scene = ['1f4505aceb623cad', '782d8b471d07d7b7', 'bc74ad2a279e2f06', '76b86db69a42706b', '8ed43c486029355f', 'efb18ec13c798dc1', 'da90c9dc0f6502e2', '3692aa2fcb9fc76f', '36333e8f8b17b87b', '7b23671474e586d7', '1f23ff34bb3a2684', '9be4f3ccea766a3c', '520042b8f6b60fc0', 'a093a44bab86f0d6', 'f0c9b2f1ffee3826', '87a6c100429590f3']; context = [[14, 82], [34, 97], [23, 78], [4, 54], [27, 76], [41, 98], [140, 210], [99, 142], [1, 73], [10, 58], [59, 99], [16, 71], [3, 68], [0, 41], [44, 87], [88, 154]]; loss = 0.011942 low_pass_filter = 0.300
+Epoch 0: | | 27929/? [5:17:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 27930; scene = ['607acbde108694e4', 'fc13b2d2ffbcffe8', 'b5f5bd68eb8e3559', '5e1afe14aead7542', '18e66f4ce4b016c6', '1ac4cfaff40371ba', '903f7c6f848de281', '96422d8d95f912c1', '77599310739d08b6', 'f7c53a68d68875f4', '865900d9c2b663c9', 'e3e576f5e8270112', '001573921974bc70', '9b2b777203c485b2', '174ececf4806c75f', 'be1357905deb4c72']; context = [[53, 124], [42, 101], [61, 109], [107, 168], [13, 66], [101, 151], [6, 71], [12, 55], [9, 71], [100, 173], [99, 152], [23, 64], [169, 222], [113, 167], [103, 173], [48, 94]]; loss = 0.008419 low_pass_filter = 0.300
+Epoch 0: | | 27939/? [5:17:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 27940; scene = ['366155957b8d3713', 'f5555cb7c50f4cc8', 'de479f6a023d7c54', '91fb18afb0b2b05a', '1fd8f49dc1856d19', '9cc7f300dbd2b155', '4ff700fcc3295022', 'eb5bb02bc048311b', 'dc4f4eeb518621ba', '542a17e17282b837', '1a8ecd4c1b802e5e', '6d5a7765a9f78f05', '5a33c3fd335205dd', '5e3ea271106a0019', '8323efaeeeb08726', 'f1ad34b317f596a8']; context = [[4, 57], [169, 225], [34, 91], [5, 63], [36, 97], [139, 191], [122, 161], [53, 111], [100, 144], [136, 202], [0, 52], [18, 69], [61, 125], [34, 79], [106, 172], [0, 65]]; loss = 0.011629 low_pass_filter = 0.300
+Epoch 0: | | 27949/? [5:17:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 27950; scene = ['9c25ee4f46798ae9', '19e4099bca2284c0', '8c85cd940e96a8f2', '937f9ed4b562932e', '427328181e023875', 'ec5ef47511b66e35', 'e8ecd0240deb2bd0', 'eb1b241272b2c46f', '4cca3aa5a2cd7fb0', 'd45240b0a83dcb36', '284bcc67f23bea0c', '70638243a3ed7d8e', '997656bdb430ad43', '89c03784240911c9', 'a24b9835a33fb46e', 'fda481eb3ffc890e']; context = [[3, 45], [18, 80], [39, 88], [29, 86], [6, 45], [32, 93], [9, 66], [14, 86], [35, 74], [1, 42], [0, 48], [57, 111], [5, 65], [28, 86], [16, 81], [27, 72]]; loss = 0.007600 low_pass_filter = 0.300
+Epoch 0: | | 27959/? [5:17:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 27960; scene = ['fae9b997dc3b0a5e', '445e1eadbba4a937', 'c6d6dd016b445805', '0297b7e5a6fa3c7a', 'a346eadd26ed026d', '2cf78f93fd569aa1', '6ea3d65172c1d466', 'b933b6a20e0ac3d4', '30b1dee06a1096f6', '75e4c220d6d76291', '63341a860ea3a43a', '7becd7ae1330e9e0', '76e44cf6b5658b26', 'bb2afd35d6f8a765', '24f7e93de4e8eb86', '51b6e63c903275b4']; context = [[1, 67], [180, 222], [28, 68], [39, 101], [13, 84], [64, 137], [1, 40], [21, 62], [43, 96], [120, 165], [1, 45], [169, 225], [58, 130], [120, 176], [1, 47], [0, 57]]; loss = 0.011237 low_pass_filter = 0.300
+Epoch 0: | | 27969/? [5:17:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 27970; scene = ['cbf08a650761cb10', '57fea3ba60e21f7b', 'd3e34d281b05cfbd', 'e910143115e8ed0a', '3dc16d11b753e652', 'bffd28466912a768', 'da047aebfa3fa3e2', '38701953a4bda3e8', 'b612e989a2406b4b', '25e9ed466c1826e3', '641609080bcd49b0', '7b86053e49f7f783', '92521846f436b2c1', 'cfd49a8723e2f1eb', '7ad8fd93e67cf7b6', '6ff8cb12afa0335a']; context = [[76, 116], [68, 127], [121, 193], [20, 63], [186, 258], [0, 45], [26, 78], [152, 200], [10, 71], [49, 121], [58, 112], [155, 215], [11, 68], [147, 191], [20, 83], [166, 216]]; loss = 0.010047 low_pass_filter = 0.300
+Epoch 0: | | 27979/? [5:17:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 27980; scene = ['5df5c5216840766c', 'a78affb518c2e2c2', '75cfeb226b47a5a1', 'dee435320ceec344', '4dd9c5fab7e6ec75', 'f8a68e1e4a265f57', '3f0cf2bff697d8cf', 'b3c2eaecfff1ccaa', 'a58bd21f7b45e7b5', '0c0cebc8eb795c08', 'c260ecbf582b8dca', '8fec1e2289d578c4', '468e9fdaa3224fce', '42f3b9aeb02f45e7', '8ef99dcc873d0615', 'a17c5f509a4519ad']; context = [[3, 46], [5, 67], [43, 106], [92, 148], [50, 93], [12, 85], [7, 58], [0, 48], [25, 84], [42, 92], [101, 153], [54, 98], [21, 60], [8, 57], [0, 66], [7, 51]]; loss = 0.009586 low_pass_filter = 0.300
+Epoch 0: | | 27989/? [5:17:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 27990; scene = ['aed4ab886e0a61fd', 'd7903991af942879', '5ded278c1683c103', 'ed6a7c0d24b57a50', 'e382974068595e36', '420a8a0e49338cd3', '9700e1ed86283bf5', '56ee1e154f94be42', '533d3cbe564e7cc7', '50c989c75b0f7157', '6ea7fd0421e373ba', '2681fbebf1e46140', '1451955eb30abd6b', '670b9bea39ffbfe5', '182ddf7fbc64272f', '839cd3f1b83a55c8']; context = [[29, 90], [111, 178], [13, 56], [57, 112], [181, 240], [143, 216], [4, 46], [4, 44], [10, 63], [19, 63], [0, 52], [137, 198], [1, 62], [196, 262], [13, 64], [8, 48]]; loss = 0.008980 low_pass_filter = 0.300
+Epoch 0: | | 27999/? [5:18:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 28000; scene = ['aef468834942aa86', 'd26c085c6b0272e2', '43cc195276cf0c56', '469dea2a027fbf29', '1dc21884784fde0b', '55a7b7aaa624c8aa', 'd99bc927fc414c61', '82c18870fae1c1d4', '4714e4012c55f466', 'a5d0ef34f899ecab', 'ca7a9b0af8757d37', 'ec9c2a32d19bdf0c', 'c3cec39b97315eef', '9c350ab081d20885', 'ab9129e394e44ed8', '5ed97c63db29a026']; context = [[6, 74], [161, 208], [66, 133], [1, 64], [81, 145], [12, 61], [114, 162], [6, 48], [49, 92], [108, 179], [25, 65], [30, 73], [38, 97], [42, 99], [0, 45], [14, 71]]; loss = 0.011310 low_pass_filter = 0.300
+Epoch 0: | | 28000/? [5:18:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0validation step 28000; scene = ['ee449870b417dff7']; context = [[3, 65]]
+Epoch 0: | | 28009/? [5:18:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 28010; scene = ['e5406e09b4bd291d', 'a2a4bb9b88e3f271', '3421821e39949234', 'e3163ed6369a0cc5', '61e3f2a90af611b2', '3354fd1e4ed18583', 'a0d4bb61c90ccebd', '1562c1508e0a378f', '1d4591ce88e519be', '4c047689861d16b2', 'df984cc069d0f1ec', '3c00ec04c71aeef8', '56fa56169dcf0003', 'ab4eb07b5cd0708c', 'd50b4d4c514705ec', '6359256a9dd57b08']; context = [[44, 95], [28, 88], [60, 130], [15, 81], [58, 103], [105, 159], [44, 86], [170, 243], [7, 68], [21, 87], [59, 118], [7, 71], [38, 104], [131, 190], [93, 134], [93, 143]]; loss = 0.008012 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 28019/? [5:18:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 28020; scene = ['22b92b810ad7a1b4', '8dff4d80838a3bcf', '1026df919a619aed', '54d2baaeaa94322c', 'f6297b2f440c2956', 'b8fe4b85fcecf9d0', '4f8e69fe96def529', 'e62c24d01f556d50', '0a86a38b52a3dcfb', '30a8818fbe0217e3', '84379435bdb46885', '7835372c86179bdc', '6d0a0b30098ba6da', 'c12b83aaf595fd1e', '5e6a441cce57df41', '08788b42778402de']; context = [[2, 72], [19, 77], [198, 249], [3, 57], [57, 108], [131, 198], [10, 72], [18, 57], [21, 90], [1, 71], [51, 103], [107, 176], [17, 72], [105, 149], [29, 71], [6, 67]]; loss = 0.010920 low_pass_filter = 0.300
+Epoch 0: | | 28029/? [5:18:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 28030; scene = ['79b03c6de9570195', 'f8e31bdfa5062680', '24545052613dc153', 'de552e2c5d1182db', '20e047bae95523df', '3e8b48b14798f1b9', '83421bce3bf38f91', '13fdad4079bd4b9c', '643c59587f0c6ace', '774bfef93b3553c4', '17520c287d5e4c23', '9be9d1c48355daf9', 'e3267e9b09ec78be', '08659bc98e27705f', '9bc1c2f13f879d20', '629e4849c3d26620']; context = [[93, 146], [44, 87], [0, 70], [46, 115], [12, 55], [156, 218], [0, 39], [8, 51], [2, 70], [90, 139], [3, 70], [1, 40], [19, 76], [43, 100], [4, 49], [39, 95]]; loss = 0.008762 low_pass_filter = 0.300
+Epoch 0: | | 28039/? [5:18:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 28040; scene = ['780fe09fe9a13e58', 'b71c6ef47553b7d4', 'b9f3719f5c56510e', '7c33974e393d64f4', '1deb23885f70a8ec', 'b8ad1d63790b5941', '9ac0d7465ed4324a', '37f7b1641c315933', '8332567ce1e76878', '970254d42af05e7d', 'f169545e99771a22', '09728c36d7caf6eb', 'fe74e8b09f280965', '451c76fc9212f2cf', '8fca99d8fece5af4', 'fa82dc63ae8f235b']; context = [[61, 112], [70, 111], [19, 79], [194, 245], [44, 107], [16, 64], [0, 44], [57, 113], [3, 42], [41, 91], [17, 58], [7, 50], [8, 67], [11, 59], [53, 98], [68, 115]]; loss = 0.009374 low_pass_filter = 0.300
+Epoch 0: | | 28049/? [5:18:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 28050; scene = ['34037b62eef60172', 'ed9e66511e6dce90', '9df62c48e94a6bd2', '27df9ee1be012ff1', 'e0c4d841d11abf19', '46fba2ccb0c2f48e', '4b21bbd8f66c660c', '547435e53b6b3cb3', 'fda12c961edaa2ed', '0eeacc044d6356aa', '8b6c25d98b699b6d', '3de0aa44194c37c7', '9a53d1c17fe9886e', '79ed99e48b88be06', '891618b015a26c95', 'c79455fedb06f07e']; context = [[2, 53], [0, 44], [14, 54], [95, 152], [35, 101], [182, 250], [9, 70], [5, 67], [84, 151], [108, 149], [24, 82], [41, 113], [13, 84], [33, 90], [170, 238], [48, 104]]; loss = 0.010475 low_pass_filter = 0.300
+Epoch 0: | | 28059/? [5:18:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 28060; scene = ['8efaab78c3e2388e', 'e658243703c9a718', '5dd1c7fc822c0b3f', '85e1e791eaaaf4a9', 'bbaf39151b2da748', 'baa5664b5ea5348e', '34ba90ddf627908b', '86f694603e158bb4', '1ccbb12d8c77d39d', '212f736c5bd2cba5', 'c17f81d64774f6bd', 'f0a58c7d4fed3a88', 'a43bc11aa6cce69b', 'd2fd75964dd722b1', 'd5e225a84aef24a7', 'd1076443c11000db']; context = [[69, 119], [192, 253], [18, 69], [63, 130], [4, 52], [9, 48], [8, 70], [123, 177], [2, 73], [117, 181], [94, 144], [80, 150], [83, 148], [11, 57], [176, 226], [16, 56]]; loss = 0.009596 low_pass_filter = 0.300
+Epoch 0: | | 28069/? [5:18:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 28070; scene = ['6d76c97f029b15d2', '7ff72e90b288f74d', '9e6040ab910d4988', 'a0d5c4c33f29840d', 'cbed5c1d109a9f28', 'b35d918ee69ca3c9', 'c13f63c3117b1110', 'e99c232259b6ef25', '0d85066629d4af39', 'efec3f2a2becbecd', '977dcf6e0fa9dbfa', '66d888e3a0507d21', 'a04642a7533b8a10', 'ca9924ac3f58fab4', 'fb1f8c90a89e8d43', 'a640aac400f82523']; context = [[0, 42], [94, 164], [131, 178], [10, 64], [20, 88], [92, 162], [69, 115], [114, 155], [128, 194], [33, 103], [36, 107], [58, 103], [11, 66], [82, 142], [63, 131], [10, 65]]; loss = 0.011012 low_pass_filter = 0.300
+Epoch 0: | | 28079/? [5:19:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.0train step 28080; scene = ['81c70e9ef4cc4b19', '09ce74a8f4a80e29', 'd2d1e88def2d5190', '40da5b52f6446644', '05bbc9909ddbc3b7', '12896094012ead34', '0cde44f566b2a805', '8d892e1664b77b66', 'e44d8ddd3535688a', '7635a7d77f3d9430', 'dfb7bad8245ffc20', '11a11baafff47174', '5cc5a65c5d2b03ee', 'bc2a7a37df0cdb53', '661d465e98bec126', '8d5fbc21f528902e']; context = [[10, 50], [16, 76], [6, 73], [33, 104], [127, 197], [82, 148], [3, 71], [134, 191], [1, 71], [119, 191], [152, 211], [15, 61], [7, 49], [120, 184], [19, 78], [41, 90]]; loss = 0.010918 low_pass_filter = 0.300
+Epoch 0: | | 28089/? [5:19:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 28090; scene = ['ab4b384f7cb7f24b', '02b2ea54d6cf57be', 'f48f11c8b6fca413', '0e993fce1ec5e3b0', '6a058519956239d2', 'e02e87df15575cae', 'af05da9be7d6a571', '255998558abc7172', '482411a57b1a83f0', '357c34539592a013', '28fbb291c0ee869b', '4fdab020b0b1455f', '2bf2d66d87db5178', '20e8b08c2473d308', '13a1b330d7a46e0f', '9adb745c741c85e0']; context = [[7, 66], [22, 85], [11, 81], [33, 94], [27, 70], [13, 76], [1, 72], [50, 97], [30, 75], [188, 257], [12, 58], [0, 39], [70, 123], [21, 84], [80, 137], [40, 111]]; loss = 0.009385 low_pass_filter = 0.300
+Epoch 0: | | 28099/? [5:19:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 28100; scene = ['51867713f952190c', 'ea0d6a4426f69bcb', 'e44f5c6ad96bacbb', '3aba94892a572bda', '976589e1e037f256', '99cccaa6de050ae8', '25afc625ca2083d0', 'ac47a40506588f1c', '035796a705648437', 'fdc5a4c97ea35db5', 'f64be4d4702419e9', '6dc932b8fa9e45e2', '61152f7f13e6ca70', 'b24f0b89fe81c75f', '17b2462794fa1870', '82b6af2e5c53c6a5']; context = [[17, 56], [9, 72], [1, 74], [38, 78], [142, 187], [106, 152], [10, 67], [26, 83], [23, 94], [14, 84], [4, 45], [7, 67], [46, 92], [5, 69], [24, 86], [44, 91]]; loss = 0.009804 low_pass_filter = 0.300
+Epoch 0: | | 28109/? [5:19:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 28110; scene = ['d2b1b93dee94507d', '5862391ea26da3ea', '1fd04b3b726fc68a', 'b72d9fdc671b2e3f', 'ece5216326fa2f72', 'd637df47561724e7', 'b27550ce7b33d218', 'e4d69e87d73f574c', '012019df6ff17e30', 'ceae0d5fe00411b8', '103ed44996e0eb26', '502168dc460bc1c7', 'bfcb6064b910e923', '40e8811702f8437e', '9b91c8500421d562', '5b38600054300759']; context = [[88, 152], [4, 51], [66, 114], [0, 44], [3, 70], [13, 80], [22, 90], [37, 97], [6, 45], [1, 69], [38, 94], [26, 72], [48, 88], [17, 58], [1, 73], [4, 67]]; loss = 0.011784 low_pass_filter = 0.300
+Epoch 0: | | 28119/? [5:19:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 28120; scene = ['1a2e563e6ba8087c', '0d887d19d7212540', '7875a6298c422059', '47261f4c960af669', '29eb7537903248df', '865f1084bb5394ac', 'c0cd96efb97299af', '645a8988ce8fde03', 'd550977e6ab72e54', '4de4d4cc91401422', 'f7e299ca7ccbc897', 'f0ec6fde32d852f4', 'e125136b4495509a', '6b76cc89f4505af8', '92747265b0111abb', 'e51df845689c6cb9']; context = [[127, 177], [12, 57], [173, 244], [56, 121], [11, 61], [8, 72], [21, 68], [32, 82], [192, 252], [167, 223], [114, 153], [159, 214], [106, 147], [0, 44], [191, 238], [109, 149]]; loss = 0.008897 low_pass_filter = 0.300
+Epoch 0: | | 28129/? [5:19:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 28130; scene = ['6a213cce77d61634', '97e0f30c6b35264b', '8694a025d8c18e3c', '18cd6ab71c2fbe6c', '8b052fd18b3b7c20', 'b2288bf7003d5d4d', 'dcea7253ad4502ec', 'd3f720cb5f3a67a6', '60d296908f43a97a', '7600a735405a9ed4', '4f7381df99227904', '209d65e786784b86', '15cf3ed7934403d8', 'c1b47e97d4900463', 'c58536994138fae3', 'b8bb5814af24dd69']; context = [[5, 44], [114, 165], [17, 73], [42, 82], [4, 58], [102, 167], [26, 95], [135, 202], [5, 70], [13, 59], [2, 63], [21, 69], [45, 114], [81, 120], [13, 82], [3, 73]]; loss = 0.015916 low_pass_filter = 0.300
+Epoch 0: | | 28139/? [5:19:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 28140; scene = ['86501c30562af92e', '07f09a928375d0c6', '413118d49090df43', '5ec51c185cd463fd', 'c687ac8a9b77d0c1', '7e8c18270178b225', '51cf713bb5c710cc', '5d128926c1792da9', 'a329004f4d0df0c4', '45c50be0ced34217', 'c15c9a0f2ad3e52d', '950ef5f76a91373e', '9bdb078481fe6346', 'b1dbb5ecb3d46dbf', '8418904f8ae211a7', 'e97df4a241db1eae']; context = [[37, 96], [82, 146], [14, 79], [87, 136], [73, 116], [0, 42], [6, 64], [14, 73], [30, 72], [7, 76], [33, 81], [40, 103], [15, 80], [39, 90], [1, 71], [30, 99]]; loss = 0.009571 low_pass_filter = 0.300
+Epoch 0: | | 28149/? [5:19:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 28150; scene = ['6dfaec91f745fdd9', 'da9f2aca4d24cab5', 'c0be824295e236f4', '44526aff7a06e57d', '94751d76c97a7d69', '31b931e3aae9d5c6', '8c22464dbf4d6c4e', '62ea835ac27ba01a', '386cec7e6824bda4', '7f6fc86af3083f99', '1a792e938e678905', '22d2a59f9448e245', '63fd8edc31308859', 'd4dccd059e74d18e', '19d9f7d0df4c4c66', '26a7190fce68539a']; context = [[2, 45], [17, 68], [35, 90], [88, 130], [48, 117], [0, 42], [118, 160], [55, 95], [71, 136], [26, 78], [1, 64], [80, 139], [29, 69], [4, 77], [2, 43], [6, 79]]; loss = 0.011881 low_pass_filter = 0.300
+Epoch 0: | | 28159/? [5:19:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 28160; scene = ['0b15419859947894', '232777ce6c9eabc0', '7d900c809e896e32', '7a471a0c4fed1464', 'c0740961ddca5c98', '14032e27d5868321', '7ee2c0f45d7cb0ac', 'f28bac496ee97345', 'c1397ab617a28acd', '5176c714d2e72855', '59e7800dec3fa9f5', '3ad7fc9a83e3e883', 'ed1cd4f9d797bde3', 'a5bcf7c72eb10c48', '0bc0b77faeecd0cf', 'a21a873df22a9b33']; context = [[86, 155], [21, 70], [112, 163], [136, 192], [19, 80], [66, 111], [6, 77], [7, 60], [32, 100], [0, 47], [147, 198], [0, 42], [69, 135], [83, 136], [178, 238], [0, 40]]; loss = 0.010514 low_pass_filter = 0.300
+Epoch 0: | | 28169/? [5:20:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 28170; scene = ['41e08ecf051c989d', 'bf1749022f7b7fc2', 'e12052e072f87208', '65a00341f349f76e', 'ab5d20183d26c933', '93c37a52bd208be8', '1e4f512b8bd2b62e', '1e8a9f8690b19a68', '4678ea8c4e38dc75', 'e86f3498eee85503', '5ed8d48ab5727bf8', 'adf57d46b95f852e', '7f1751104002d662', 'c339230117f57503', 'b2d24c1225a9eb5f', '41558fcac4c12867']; context = [[0, 59], [9, 69], [0, 40], [17, 67], [56, 102], [160, 217], [17, 59], [37, 103], [21, 77], [2, 42], [9, 75], [33, 98], [0, 71], [6, 73], [3, 65], [31, 83]]; loss = 0.011267 low_pass_filter = 0.300
+Epoch 0: | | 28179/? [5:20:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 28180; scene = ['da595021fea9f85d', '4c40c57cb20e6920', '7e298b879dc6b10d', '2de9e39deb77c039', '3c99b5451264d6aa', 'b5d0e2112b26d659', 'd8abb08d528ae88f', '3e3ee1f9aa5e1c5a', '58da510f517858b6', 'c172fefa8dfaec4a', '41b9c051d5df7dc0', 'b0fea728bc83b595', 'd0e2b5d6dcaeff7c', 'cbc2831917a97cb8', '78b694e06349d124', '9e233268774cce82']; context = [[34, 98], [0, 45], [61, 107], [25, 65], [1, 41], [52, 107], [3, 67], [47, 101], [52, 107], [30, 86], [1, 61], [34, 78], [30, 92], [38, 92], [7, 47], [1, 65]]; loss = 0.010756 low_pass_filter = 0.300
+Epoch 0: | | 28189/? [5:20:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 28190; scene = ['9af5a605a4972f99', 'dd32077f4f08dc69', '89cab77e306665b9', '9ac5d573346e3f0d', '091b5bbc880a6437', '401b203197086104', '0ca6052024f0dfa9', 'd8b6c6f00773941c', 'debfcd0facc08e74', 'df7f09e925d52823', '373c334353542c1e', 'bf3af518a9d57ab2', 'f7066db19ea7dde5', '0c99f06e8b5bc9fe', 'e19f322390d2dd64', '312e16d4b4b9e990']; context = [[16, 65], [71, 127], [3, 65], [4, 57], [25, 67], [3, 56], [21, 78], [104, 148], [23, 70], [2, 51], [134, 195], [44, 109], [177, 235], [0, 63], [57, 102], [23, 78]]; loss = 0.008801 low_pass_filter = 0.300
+Epoch 0: | | 28199/? [5:20:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 28200; scene = ['2e9290d74422ecfa', '1d885b5bf6000744', 'c0ee81f4dcfffeeb', '3aaa39b2d1fc8853', 'a997c1ea8d8b3557', '25507a5d451e4b3b', 'ba63c9bf12e48a01', '7df5dfcb4c9f5e24', '264bb76b06bac802', '244eda7c0944fa1f', 'ebab6115d84e38f1', 'c90f01f360645e27', '61944f66d6b0c7b6', '140ec322ea5a197f', '31c7ca382b4cf406', '2cf9926a578c2784']; context = [[25, 93], [10, 65], [82, 142], [7, 79], [64, 131], [71, 119], [1, 44], [30, 93], [131, 197], [156, 223], [4, 46], [95, 142], [8, 70], [224, 265], [71, 117], [36, 89]]; loss = 0.009262 low_pass_filter = 0.300
+Epoch 0: | | 28209/? [5:20:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 28210; scene = ['9055041789f01a42', '5ed75ec6df343f5b', 'e5da5035d5cf1047', 'd8e1cd667f0c5721', '1d260e4bebf2c0e6', '3834d878ae1525c6', 'a2012fea65fdb1d1', '9573c6a7df41a123', 'a0f9a5c04c8e602b', 'bd64124de2aaeb79', '3c60078735491108', '2cf102bb6b9d37e8', '40f122a087305b92', '1825e5c359626746', '027f46042d62d8dd', 'd937fa8f6202599e']; context = [[3, 47], [2, 46], [30, 78], [6, 68], [106, 159], [37, 77], [20, 77], [14, 58], [12, 71], [9, 63], [101, 172], [53, 95], [80, 152], [32, 72], [38, 108], [18, 59]]; loss = 0.010181 low_pass_filter = 0.300
+Epoch 0: | | 28219/? [5:20:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 28220; scene = ['3a605cb3495eb9c7', '33d44d22ca5117fd', '7dd4d8b4dc082dd4', '482b604002f1a227', 'fc4e64a966b2af97', '3f62f46c54c21cf2', '23d89b926a4e9ada', '42a3daae34acb6d0', '819b6af73885034e', 'b8e76ea0476fe482', '53a8bb87641bd35b', 'ba67f70b5b0ec072', '829dee1b037f367e', 'b077b634286dbbe9', '3f99cb9bcafde8fe', '22883477ff44a8d8']; context = [[65, 107], [9, 53], [3, 53], [24, 88], [75, 136], [2, 72], [51, 111], [7, 65], [19, 70], [6, 64], [63, 123], [87, 148], [38, 101], [4, 63], [11, 81], [38, 108]]; loss = 0.011549 low_pass_filter = 0.300
+Epoch 0: | | 28229/? [5:20:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 28230; scene = ['30ef5f553648df47', 'b7c32200b00161bb', '54c8e9c778b2fad8', 'b32de1c311763e38', '902098b9bb42414b', 'ec680845c6a7295c', '6aee2575a2c97d19', '66711c996dd1e5c9', '23b48c0014ee6697', '38d35ba6f17e9d95', 'f1f9d16552e2462c', '8a84743315deacfc', '6357d52b51177465', 'c8711a7856dc0419', 'cafb23530732a111', 'e6decd3548cf13ca']; context = [[2, 52], [59, 104], [46, 108], [34, 84], [20, 85], [15, 88], [56, 107], [1, 47], [21, 90], [6, 73], [11, 52], [3, 66], [49, 106], [1, 46], [0, 44], [39, 103]]; loss = 0.010013 low_pass_filter = 0.300
+Epoch 0: | | 28239/? [5:20:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 28240; scene = ['9017942635379a68', '5171530b8fb8dec4', '276adc2b47826979', '03e725043bbd34f9', 'cd2d0358c4dea897', 'da4ba27d74469198', 'b5550b977904cd1f', '6db759d88e9613bd', '3c5994c8cfae8ae8', 'd0e191889f83b0b1', '0c857bd5980325a9', '8a0a3c7df6ffbd82', '8c2ac0b557c918f6', '6c26fceb2ceeadd2', 'bcc9490e754b8b01', 'bfd986961df4d711']; context = [[2, 45], [74, 136], [11, 73], [52, 120], [60, 109], [19, 90], [21, 89], [2, 64], [13, 57], [0, 50], [79, 143], [16, 78], [3, 63], [49, 101], [0, 40], [8, 52]]; loss = 0.012230 low_pass_filter = 0.300
+Epoch 0: | | 28249/? [5:20:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 28250; scene = ['668921a5f8dc2216', 'f935d6d91d6b740e', 'aef8722ceedd6c5a', '954ff8679dd88e9b', '1af546eaa729cc82', '56bd38a5cce7b138', 'bc4e4c72bee6fe49', '903811649da7395a', 'dad6bfb8b50afd08', '07eec8f5879afb07', 'df06aa23127e2ee6', 'edb1bfd370d7c89d', 'c197acc6fde0dfcf', '07dda1bf6f120ed9', '97b3f4269263d4ac', '542a67b1e982396e']; context = [[71, 126], [39, 93], [48, 94], [73, 115], [33, 96], [124, 182], [10, 54], [21, 79], [69, 142], [17, 64], [2, 52], [33, 104], [32, 74], [9, 54], [21, 70], [86, 137]]; loss = 0.009329 low_pass_filter = 0.300
+Epoch 0: | | 28259/? [5:21:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 28260; scene = ['49724c9c6be2c390', '0ff53893f963e0e8', '3af88c2e2d9c4bed', '4e89b15dcdfe9fbb', '4b15e91bf9750b0b', '627941d7ef713bc5', '0ffbe51291e5c9e5', 'd6418df5f58db120', '7b22ac58746f7338', 'e3a0600c1b12486e', '73d16e2f8049cffa', '4b6ea7c9165dd9da', 'a0487074d86da11b', 'e799d433cc4178d0', '7eea653ff7370052', 'c2d9626e25b514d2']; context = [[21, 75], [0, 69], [52, 111], [82, 128], [5, 49], [5, 56], [10, 63], [7, 65], [19, 59], [81, 131], [21, 76], [39, 92], [25, 67], [42, 102], [35, 75], [60, 101]]; loss = 0.011241 low_pass_filter = 0.300
+Epoch 0: | | 28269/? [5:21:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 28270; scene = ['41258160de3b9847', '310afc09b784c10c', 'a83f3746a11e572d', 'e96a40a434e0b83c', '2ba4ac8ad33f2604', '6c86fd352266b6f4', '7570e1000b6f66a7', '1b96b29b59396413', '2d9ad09dfbbccc5f', 'ba232d0f3f503f0f', '9a29fa848914f19d', '817b24f92f59bc4c', '7458f03e246c41e7', '6984917885b4951e', '88901f973fdc0784', 'eac388c09cb28b6d']; context = [[75, 143], [30, 93], [45, 88], [4, 70], [149, 189], [10, 52], [21, 72], [34, 80], [177, 236], [7, 64], [31, 71], [42, 95], [9, 52], [203, 253], [29, 71], [6, 62]]; loss = 0.008733 low_pass_filter = 0.300
+Epoch 0: | | 28279/? [5:21:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 28280; scene = ['4431835cd413e5f2', '8e605b91a9717648', '0e72cd138b93788d', '0eedfd3367866a18', '9720a52405835b98', 'b3a83fbbb2c0b81b', 'db97b11381863147', 'dd61e223f3c5ea1c', '332db302db18a6b1', '244c5fecb741efb7', '58fd1e2aa6aa30fb', 'aeba0e80ade27c60', 'cb17ff92309f6c21', '7c7cdad9ebdae004', '5c3db71b307c043a', 'e327aa8d28ca11d0']; context = [[116, 188], [29, 88], [206, 269], [14, 86], [38, 84], [5, 74], [42, 97], [65, 112], [34, 76], [15, 77], [11, 62], [40, 94], [0, 73], [160, 201], [0, 40], [101, 146]]; loss = 0.009483 low_pass_filter = 0.300
+Epoch 0: | | 28289/? [5:21:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.0train step 28290; scene = ['59d846a6e78d4bc2', '8c6f7e59d3af0de8', '26e8ba5de6755f12', '29e0312194a1f641', '87e0cb1574aa4288', 'a3cf2c1a182a2d0e', '15514fa8651b5365', '81cf0f3c0e0e0419', '8068133ed588228e', '23f0e816937d2f10', 'c725b2fd03d22b0d', '488f39c1a5278615', '1530900920c69548', 'aba0882649576542', '6c39921ab0917e6a', '5b57c8f60507e639']; context = [[55, 106], [13, 79], [1, 63], [28, 71], [4, 62], [27, 88], [14, 83], [15, 67], [32, 93], [28, 68], [13, 80], [151, 220], [153, 198], [0, 41], [5, 68], [5, 56]]; loss = 0.010488 low_pass_filter = 0.300
+Epoch 0: | | 28299/? [5:21:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 28300; scene = ['2164f88c646772cc', '093cd19c2092f76f', '2160ad9e7ad6c76f', '71f5c48a0eb24033', '2051fd8a3c639b9e', '493ff377d55d79fd', 'd26fdc78269b53b1', 'b2dd9639336d0fd6', '2aa9e62630f3acee', '045934369f1fc08d', '0d036f88d76b0d2d', '68c242b83de652e9', '50f5f0c69d553bb4', '209340b412818760', '524457903526954d', '0664e3c7282c54cc']; context = [[172, 223], [131, 188], [35, 75], [23, 78], [20, 65], [0, 42], [75, 125], [61, 107], [38, 84], [200, 272], [21, 82], [10, 56], [18, 91], [15, 63], [4, 71], [6, 57]]; loss = 0.009871 low_pass_filter = 0.300
+Epoch 0: | | 28309/? [5:21:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 28310; scene = ['8da64ec7f57f52bf', '1c398feb4a695f6d', '8876364a9d69559e', '9c61596b022e98b7', 'e87bf717d10bca24', '75d497fb2e7678aa', 'fecafd63a6934d0a', 'b118cb6e30400e61', '9f85e10629380769', '0e5516c533348db0', '9c084660b5cdc745', '4c3e925c21587058', 'da274c0e6e23f8ea', '558bb65bfbe54320', 'a4a2397604930cf7', 'e6be807f7579f977']; context = [[2, 68], [2, 54], [93, 155], [8, 65], [6, 47], [235, 275], [49, 117], [23, 67], [28, 83], [47, 108], [6, 69], [98, 147], [2, 49], [32, 86], [7, 80], [53, 125]]; loss = 0.007745 low_pass_filter = 0.300
+Epoch 0: | | 28319/? [5:21:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 28320; scene = ['8230269d5694b850', '09f447a82910d9e2', 'eb3d4493eabc70ac', '46bd6ac81c2ca6bf', '0f4bb16169333817', 'ea83dfd340855fc5', 'f4f078781be5bf1c', '58e75e2b5b11725e', '51504900fa03f469', '17d579cd9c3c11c6', 'b9b83ef31222c2ee', '758ae82607fab1cf', 'a5f88d386483e9c2', '208e267f234ea686', 'df54544af0cb2814', '7c176d9aef38ada9']; context = [[28, 84], [30, 99], [51, 94], [16, 86], [8, 79], [38, 84], [227, 272], [122, 167], [8, 56], [26, 96], [28, 69], [85, 132], [97, 150], [219, 278], [60, 112], [83, 149]]; loss = 0.010794 low_pass_filter = 0.300
+Epoch 0: | | 28329/? [5:21:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 28330; scene = ['dc7a6b51dfb7f530', '39a06c94b613e43a', '69c57d1bd4dac8f5', '9a869f7ea35c324e', 'e148a4e5bcea5361', 'bb1a0e2ecd0a6e59', 'af6ce8811b0fc9c3', '8912e1cff2c4c8b0', 'b8def593319c324b', 'b7e7f5382a76e83b', '8268a5b551dafd3f', '95cbcd8e14ae6d66', 'c3f52f7d45615331', 'c9ae259a9b9dac38', '59c9d05c6c1dbcf5', 'a4cff836fec7e675']; context = [[226, 273], [10, 84], [39, 112], [106, 176], [15, 69], [37, 78], [138, 205], [133, 184], [59, 122], [0, 43], [63, 104], [118, 180], [14, 73], [87, 129], [29, 95], [28, 97]]; loss = 0.008875 low_pass_filter = 0.300
+Epoch 0: | | 28339/? [5:21:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 28340; scene = ['b3f2183a0220f98e', '56de1091c01be96c', '2dd4348bf334f7f7', '37cc00c2e4737bad', '5aeaeafd68cb9158', '347d7c1f3516f732', 'b583f64a01c212f2', '209aaf944169c4b6', 'd6fefe45e58fa3d9', 'f9d09b2e4cbfdfc0', 'f9e12227561addc6', 'a806813b8428527f', 'c2a6826b4e13e5a7', '7e54b2a98ef2fa85', 'ee0377f272672b8b', '386ab02cdb228dd8']; context = [[18, 84], [3, 43], [58, 111], [8, 78], [113, 180], [2, 60], [9, 80], [5, 63], [68, 120], [2, 68], [24, 81], [13, 82], [5, 69], [6, 73], [12, 82], [109, 160]]; loss = 0.010071 low_pass_filter = 0.300
+Epoch 0: | | 28349/? [5:22:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 28350; scene = ['c2162040f6db4d2f', '86200c7934e48f9a', 'e48be695530a9bf6', '58bd756bebf66e0c', '2c1299d0841d07dc', '3a9a316b8350771e', 'ba4bc50f3e101be7', 'b83523d5a6b0de8d', '7e1f1a8ea0462d91', '724698b7bec91b99', 'f7d43d1337bc64ed', '1cea80a14693313c', 'bdb981148d4f5ab9', 'cc75b5eb8a2d1988', 'db251a028af1064a', 'c47c30ee1d3f549f']; context = [[45, 100], [120, 194], [0, 54], [8, 53], [191, 232], [7, 80], [84, 131], [8, 71], [55, 127], [4, 57], [8, 66], [72, 112], [8, 52], [83, 143], [27, 93], [2, 71]]; loss = 0.009543 low_pass_filter = 0.300
+Epoch 0: | | 28359/? [5:22:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 28360; scene = ['c902db04aedf721a', 'a44d6979b3bafcce', 'f47283447b11a0a4', '229a78770f9e62ab', '63530ed9d72a8372', '554969e92f0c8d3b', '2b63e3da632073f8', 'ac035b99ac0bda7a', '7e349b36b740950b', 'a94a8b504de6356d', '8c113b4f2a2e931e', '00e61bcdd00f8720', 'ac10481da05ca1ec', 'b05cbc24b074e852', '44992db149230d59', '1af22fa0e408d347']; context = [[4, 64], [4, 65], [46, 110], [24, 80], [165, 220], [52, 113], [111, 152], [17, 69], [228, 270], [81, 147], [82, 142], [145, 218], [21, 68], [24, 78], [2, 49], [21, 61]]; loss = 0.010762 low_pass_filter = 0.300
+Epoch 0: | | 28369/? [5:22:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 28370; scene = ['d94e621b7a95c008', 'd6590efad5308453', 'cc25909697786aad', '7713d909cf7bda4c', '21c70595a4f20e8c', 'd04a28d0772e76c8', 'f5a615c356cab245', '212d92ca9842dae0', '0a543133235ded4a', '871c5356143bef59', '801ab8d734858805', 'd063e47225f787c3', 'e4ba635ef37eef5a', '3a40230e7d49bd72', 'f6569109c3fa7421', '3dcc161252157ed9']; context = [[6, 75], [19, 69], [0, 68], [16, 80], [7, 62], [24, 73], [111, 169], [4, 44], [9, 62], [6, 49], [1, 43], [77, 117], [36, 96], [59, 114], [11, 72], [46, 103]]; loss = 0.012485 low_pass_filter = 0.300
+Epoch 0: | | 28379/? [5:22:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 28380; scene = ['6948d440d6aae7d0', '39953b7377e8fbc6', 'c8af89fa161452c0', '7d08a5d6a3217be2', '7da62d40202eb4d7', '44081a1a9b1b183d', 'c7bea6aa7296c50b', 'a4bfd76bce0d2976', 'cf83070a1af0286e', 'ca1aa5c83f9fd74b', '254d6c6b8f9508d0', '5ecd4f2761d9877c', 'f2685cf241827826', '6be67867ef006e73', 'b13f185b7aa9c6b1', '0b13ca88611e6d29']; context = [[138, 179], [181, 227], [1, 72], [54, 121], [0, 42], [13, 69], [23, 77], [46, 102], [5, 75], [2, 68], [3, 52], [113, 186], [16, 69], [16, 58], [204, 275], [11, 70]]; loss = 0.013970 low_pass_filter = 0.300
+Epoch 0: | | 28389/? [5:22:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 28390; scene = ['854643bc2ff4062d', 'ff086dd3c21198aa', 'beb7827e8dfa81d5', '97c6c6048cab5ca2', '496840a0fe3510d3', '7eae59259910a160', '85f5116d79acb22a', '564437b001139667', '11db2e14d64c1b42', '7850797441a57de9', '51f80353f6008c4f', '72cdd65567fa4c64', 'ac9bbd8efad4b995', '5b7e5ce68733bcc4', '12048355d2052d78', '89a0f0553f7f2bdb']; context = [[23, 69], [13, 66], [10, 59], [67, 131], [2, 73], [190, 262], [68, 119], [44, 102], [201, 243], [56, 109], [35, 80], [135, 202], [29, 99], [85, 156], [7, 71], [19, 75]]; loss = 0.010644 low_pass_filter = 0.300
+Epoch 0: | | 28399/? [5:22:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 28400; scene = ['0400474c688a355b', 'e3baec3d11a94685', 'f5d5cdb2832d4496', '6432570e1a1c49f6', 'eff8b7d918bbe2cc', '062f247f28a18c88', 'a029fa2714aad1b4', '697df23e9f5fb6f5', '95f88ab4932e5ee7', 'fc801406b1f9db3f', 'a92ffea4cbb162e4', '3bb8ca11ff6e54c1', '2735d9182acee2f1', '39f7c76ef42ac1d4', '0f04f8ee8b2396c7', 'da794e5b3ff8bd6d']; context = [[16, 86], [7, 64], [151, 212], [48, 94], [27, 85], [3, 45], [58, 129], [15, 56], [21, 65], [127, 181], [1, 55], [61, 117], [4, 47], [82, 152], [90, 134], [0, 72]]; loss = 0.012001 low_pass_filter = 0.300
+Epoch 0: | | 28409/? [5:22:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 28410; scene = ['3ca8e7f6cb2ca789', '3bb32a3b2180cc43', 'ab3c1a4e030f48fb', 'd29f3650968bcc8f', 'ddc3ee19dc4af964', 'f75944e661151ecc', 'aa98ba648f00f90b', 'a5034705af109442', 'c33b2c3c4230aa96', '7283600069f26aba', '4c4d124d1f671bbe', '46f7ce5962d1e536', 'fd99963ac0e17872', '7482427ddbfafddc', 'b145a55f25369072', '9f9974c348a7706e']; context = [[5, 70], [155, 211], [8, 60], [5, 62], [16, 71], [11, 68], [199, 260], [5, 55], [75, 130], [0, 42], [36, 80], [82, 138], [44, 118], [21, 93], [78, 120], [50, 104]]; loss = 0.011634 low_pass_filter = 0.300
+Epoch 0: | | 28419/? [5:22:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 28420; scene = ['fdd8bff495a35d3c', 'fa0b600ac32f3ed3', 'a4a5f77ac927b7b8', '7bd8732d1c74a211', '4dab27a15daad726', 'b3b7e186efcf48f3', 'c17c8f9dca224201', '810b4b66938d5d60', '2a06f123c668d541', '3ac8f1175e70c73b', 'f07a8be5e54b332a', '36853991baf0f696', '2a10024761431c76', 'b9e587880452c81a', 'bc8eb67c9d7fb4f1', '55d8b80f7cc186ab']; context = [[1, 49], [106, 174], [38, 108], [15, 70], [1, 68], [31, 104], [1, 71], [0, 51], [45, 111], [12, 61], [56, 126], [207, 278], [3, 63], [60, 129], [30, 70], [7, 59]]; loss = 0.010572 low_pass_filter = 0.300
+Epoch 0: | | 28429/? [5:22:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 28430; scene = ['52d5d1869f7823d2', '0cb6c016d1847e2b', '4af1a22dbe5a4dd9', 'eb73f61840088d85', '12df9d7691f772f4', 'a14bdc424dd6451b', 'bbfeedf36bd2d073', 'e695402faeb3ab60', 'ce48d9a911def68d', 'b7abfcf85c78a026', '2e55ab3c0ff07376', 'aad6209cb374086b', 'f728a149ea2dcc32', '5acc2cb4c8cc2220', 'c9755380f559fa04', '5c6ef4865ed51116']; context = [[1, 51], [1, 57], [51, 119], [70, 134], [47, 109], [0, 40], [134, 197], [23, 89], [19, 70], [19, 74], [11, 81], [125, 168], [9, 68], [3, 43], [18, 66], [14, 75]]; loss = 0.011464 low_pass_filter = 0.300
+Epoch 0: | | 28439/? [5:23:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 28440; scene = ['ca0ef4335afc5644', '31c3e0e9d2403cd5', 'c82b6ddaa61c4351', '38cb72f45726e75e', '23a56f1e69fd6165', 'a16a0940ea913a28', 'b8f7484d344eeda0', '41afb11f5185a7a5', 'a007a9915e619f8b', 'a0a53f68abe200db', '0a004eb4d08f31dc', '4ca3eaa982403fcc', 'e0f556cda31cd789', '7dfb75974e20d9f6', '95f2be7bb8303f50', 'b4e9a9bf77f35701']; context = [[44, 92], [31, 78], [4, 48], [35, 89], [106, 178], [58, 102], [6, 49], [4, 64], [23, 66], [9, 82], [37, 77], [29, 70], [105, 162], [42, 92], [40, 102], [32, 81]]; loss = 0.010403 low_pass_filter = 0.300
+Epoch 0: | | 28449/? [5:23:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 28450; scene = ['4a522e3328a9050a', 'f6ebe060ddd2c379', 'ab895ad7d4ab2024', '657d182078d67346', 'b1d86a9f37d6f632', 'db5d3693aad765cd', '20e541000529f09d', 'fdb2dcdaf08bcf23', 'b86e04af018970b9', 'd77e95065c740393', '03e06c2a6e1c1708', '232e85250de4fc24', 'c999a1922a53c7fd', '03f22e694d8895e9', '7c8d84ba7289a65f', 'cee0290238ec48ae']; context = [[32, 84], [5, 72], [70, 117], [8, 78], [99, 152], [5, 62], [0, 74], [14, 60], [3, 58], [3, 61], [13, 74], [169, 225], [5, 45], [35, 100], [61, 134], [9, 69]]; loss = 0.010382 low_pass_filter = 0.300
+Epoch 0: | | 28459/? [5:23:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 28460; scene = ['ac1189c4dc68fb2d', '83c73865f19da6b9', 'ba88bafc439f3256', 'fd1ec3e7d1725c17', 'e91ea9998edd1a3e', '053b8c046d8990e3', '3bd30fa6d8125e35', 'd008f5d618fc4673', 'fba4e3544c47c1a7', '65cb094aa58e64f7', 'aec37c0c07847354', '74a8f11d5d29aab0', '9756ac0316805cff', 'ae2494640cbc0678', '3d571ac9d490075d', '9452b026b0d20cad']; context = [[122, 171], [61, 114], [0, 53], [59, 106], [17, 67], [75, 126], [0, 40], [27, 92], [5, 70], [62, 119], [27, 81], [0, 51], [0, 40], [44, 113], [1, 51], [7, 63]]; loss = 0.011669 low_pass_filter = 0.300
+Epoch 0: | | 28469/? [5:23:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 28470; scene = ['d715711625070e85', '2a61433c583f4052', '262e52b03eceb5c9', '6e4b984075d9d0be', '08c09a60291a2f5b', '8438b810e7c30689', '826f9c6fa7a3308b', '5427c242a29c1060', 'a5fd81e45eaea47d', 'c745ed02d695fe65', '17c771028b71dd80', '1c3010c2c0cd711a', 'c8e5699ffc5f3b3b', 'ba7c5eded1b76b25', 'ff6ac8d2fdd0b884', '9952836698ab487a']; context = [[84, 148], [7, 73], [50, 112], [36, 90], [30, 95], [3, 74], [8, 48], [47, 102], [24, 93], [226, 276], [94, 157], [31, 101], [94, 137], [31, 82], [70, 113], [8, 74]]; loss = 0.013356 low_pass_filter = 0.300
+Epoch 0: | | 28479/? [5:23:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 28480; scene = ['df94ad028c71587c', '0f8c770f3a37cacf', '1953baa6b79507a8', 'fc0eb949f7e3495d', 'ccc263a21c469e06', 'da476b8013f67e79', '9b1748955fdd2d93', '4c8249818b4a5099', 'ff7c5e76dbb32bf8', '02b4de9af6e29e8a', '3e29aca8c40a0061', '809ac9d0df881cdc', 'e35fc31cdf5f6b0c', '28d7e19c6e24d569', '1d30d8bce2897a08', '63a408decbee5e99']; context = [[27, 76], [12, 80], [30, 79], [23, 87], [10, 68], [37, 79], [1, 43], [103, 174], [7, 71], [53, 123], [46, 109], [18, 63], [28, 78], [35, 100], [9, 54], [77, 119]]; loss = 0.007721 low_pass_filter = 0.300
+Epoch 0: | | 28489/? [5:23:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 28490; scene = ['ea0c02ec03e01f79', 'f3a5f3677b605b8e', 'e5bb63fb3c7ccacb', '892d7a83c3b9e98b', '97c644f0012e37df', '86920e8a33bf80ca', 'cd6c74ea0440e539', 'b8e21d629c0dc76b', '53345f5cfe65a214', '26c1372d50e49c83', '54cf901f43d77bb2', '093c78c8a4198bfd', '7173e6107342f9bb', 'c3bbcee94ab6ff1b', '13f84c9e46eb697c', 'c94cb4be652f013a']; context = [[0, 55], [16, 62], [6, 49], [17, 59], [73, 130], [9, 80], [29, 69], [47, 105], [0, 41], [119, 168], [0, 57], [215, 261], [7, 60], [69, 120], [84, 149], [3, 69]]; loss = 0.009220 low_pass_filter = 0.300
+Epoch 0: | | 28499/? [5:23:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 28500; scene = ['4d3aba66a55b61c0', 'a88fe04e539fdc97', '89e6f8c4ebc55d2c', '547e4e06b1a865a8', '810f65b521c5649d', '485d3236b9e66ff4', '9943ab7880a1ea6e', '0ed822bcb0982dde', '4b62d75032fde42a', '3b985e0ac53db7b5', '71fb27bdb856ee4f', 'fce8992f85bde34e', '946046a2fe268ee8', '0ff1ada6d68e835c', '427526ee8dab7776', '62d591164844c092']; context = [[14, 70], [4, 58], [102, 150], [24, 81], [4, 56], [61, 124], [22, 67], [12, 70], [4, 64], [61, 102], [0, 48], [5, 76], [5, 49], [0, 41], [120, 186], [30, 74]]; loss = 0.010214 low_pass_filter = 0.300
+Epoch 0: | | 28509/? [5:23:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 28510; scene = ['931e6b34254af15a', '76f02583342a49fc', 'd0c5d78a6d833bda', '6bc24ef0e784d244', '8859e6515aa7ab9a', '2fcde6f2b5ac4db5', '92c8e9d454349b35', 'f9ca9a22dab95c1d', 'a40d0c82b3ccacb4', '1f0fa81c1fe1dc97', '0baee54b3ba3f9e0', 'dfb8798de06ecf3f', '0f81dd482ac2903c', 'dbf41936e7ae1296', 'e0306f2e3e069458', 'b72ac3ba4ab363e1']; context = [[8, 69], [97, 150], [117, 175], [18, 92], [1, 50], [13, 53], [13, 61], [8, 68], [63, 129], [4, 76], [3, 44], [25, 94], [17, 65], [4, 49], [6, 51], [23, 83]]; loss = 0.009417 low_pass_filter = 0.300
+Epoch 0: | | 28519/? [5:23:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 28520; scene = ['55b05c9caa5f4d52', '5807633aaa24e315', 'e8d3dcca22f0927b', 'a18b699a97305375', '18dedb90ea5f4869', '0865ab5087227a74', '262ca049a6cd4ded', 'f45afc69c757f740', 'aaa1ef2a365d7781', '3fcab25b002c8d8a', '88e7d46c7325e541', '755be52fe347b481', '522da2a710ac5837', '8d24e45a0fb34cd5', '9b482a814f0a5481', '7983d363f745886c']; context = [[25, 79], [18, 81], [49, 99], [54, 101], [40, 82], [13, 53], [1, 69], [7, 81], [151, 213], [27, 94], [115, 159], [84, 149], [39, 80], [52, 97], [68, 131], [6, 80]]; loss = 0.010123 low_pass_filter = 0.300
+Epoch 0: | | 28529/? [5:24:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 28530; scene = ['27227056e078032b', '0bfdec70b0e4848b', '3daf1eabf19c93ec', '2d5367d8abf2a189', '6d5ca78f3b7111eb', '77d4dad49d3bf4f1', '534a13c9352bd9af', '85d78a23254e792d', '2a738a49db16bea7', 'deace859a58d2b95', 'a64972f2ce3ab93c', 'e4e01c543b095e13', '59be7b413a7b6f3e', '6979b7e84173dc55', 'b165404deb8e0683', 'cb8d6a9474ce2090']; context = [[21, 84], [4, 45], [21, 75], [13, 57], [42, 83], [23, 66], [23, 78], [100, 168], [9, 54], [0, 46], [7, 66], [2, 48], [22, 71], [0, 69], [40, 114], [23, 67]]; loss = 0.012479 low_pass_filter = 0.300
+Epoch 0: | | 28539/? [5:24:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 28540; scene = ['1acf1fda04e66de3', '9dafc61a5619845c', '7cb7cf6f9813487e', 'c0198b22b5015afd', 'f892051838c9ee27', '9974ef630b3b0063', '4b4d97c54ed93160', 'd6ea07dbb2167eb5', '3aa51ffb5daa1f14', '7856307929acbfc8', '406118df679fdf02', '3aebea0441273ddb', 'f407dfbf20e9cdd8', 'af266e9907e855a3', 'd5272ec25feb6ba1', '4c4cb796127df3c8']; context = [[22, 82], [12, 77], [45, 87], [144, 195], [182, 248], [62, 110], [28, 73], [43, 100], [9, 52], [12, 54], [4, 72], [13, 54], [64, 135], [10, 79], [47, 93], [225, 273]]; loss = 0.011331 low_pass_filter = 0.300
+Epoch 0: | | 28549/? [5:24:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 28550; scene = ['25786ffb7c104704', 'd6d035f2af6e9bad', 'c11e71447a5d1611', '1716266141ef92bb', 'eb5e30080980212a', '7f1b2d73cffaedec', '1d8f8faa8a7ec751', '9c68a8a0af17b921', '600f168a8eabe775', 'a80fd2f2a9bf34a7', '0ffd385bf24b6e10', 'f730cfa1c51fc30b', '4c3217cbb966ce0c', '4012c15c8381568b', 'c6b42d6e8cebec2f', 'a3f4af0fb099f284']; context = [[40, 93], [9, 56], [70, 116], [45, 92], [136, 180], [25, 72], [1, 59], [97, 140], [169, 223], [4, 55], [128, 197], [16, 88], [31, 78], [1, 51], [47, 95], [0, 42]]; loss = 0.008299 low_pass_filter = 0.300
+Epoch 0: | | 28559/? [5:24:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 28560; scene = ['1e1bd550daa0d3ec', '79e5fa7345e69819', '6f2781369a82d41b', 'a6ca24800d9603ac', '4a4220d96cf40ca0', 'b219243c6a108088', '00caa2b14cfc2603', '12c487620fb54b3a', '34ec238bbbb9dd57', '325313dd798bdd45', '9001456359afb4e5', 'f45d9482ec6bb726', '10be6c45efe3a07b', '3748f2ecd1d5dff9', 'c3d6ab8fa3f992c4', '20f2a4b8e27712d1']; context = [[13, 78], [34, 93], [96, 138], [2, 42], [4, 49], [4, 62], [182, 250], [21, 74], [21, 79], [51, 112], [0, 40], [22, 69], [11, 82], [4, 77], [17, 61], [93, 158]]; loss = 0.009785 low_pass_filter = 0.300
+Epoch 0: | | 28569/? [5:24:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 28570; scene = ['d42d236f6214408c', '18e4f707e6d47890', '19e2d9003bc31363', '4f27c51e6150adc0', '433ab59ecfa048c4', '73dc9a8349092a3a', 'fd8d69b1ea91d566', 'a4561bd206f6dc9b', 'c454c223f3254118', '65f17ce21551f7ab', '4f3e4c4ec365fd3e', '6a2e087bbdab0171', 'f8ffeaf25a4a038f', 'f8b1d2c720458382', '0a22ba84aad5667c', '270685fd0ad51c32']; context = [[63, 105], [133, 183], [29, 86], [83, 125], [1, 70], [8, 81], [21, 75], [120, 182], [8, 81], [126, 177], [27, 80], [11, 66], [31, 72], [79, 128], [25, 74], [12, 82]]; loss = 0.018536 low_pass_filter = 0.300
+Epoch 0: | | 28579/? [5:24:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 28580; scene = ['7fc974555b4b9640', '8a3c3d62d87c8964', '486d26ad09ae5be9', '7b84e647a32a4bb6', 'cc3e6da23fec83d0', '689dcecebb827840', '4740cf208d28502f', '835d4ac0d550e3ef', 'c8cf673ce88ca4af', 'e4e6feba6ad8534e', 'a64e6ad0a94e2f4f', 'bac018643bed4fe8', '14d24ae076dfd157', 'd26799d89f2a846c', 'fd121f0c77ac0c01', '9eb99257b0499b06']; context = [[2, 63], [30, 79], [3, 43], [2, 62], [56, 118], [101, 147], [19, 77], [18, 89], [0, 68], [19, 71], [84, 125], [33, 81], [4, 57], [23, 67], [123, 186], [28, 81]]; loss = 0.010741 low_pass_filter = 0.300
+Epoch 0: | | 28589/? [5:24:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 28590; scene = ['4d11e532d98f82b0', 'e29163792848f2a7', 'a056e3fa243afc5d', 'bb85e052b391045d', '1bfe50354dad5232', '1cea9c18977c2f8d', '4c77daa258b1ab4b', 'a0b1e9da3ec78a5b', '66ae84fb53b12759', '79e12395e84d7f72', '7ff21a679944ada7', '155655aa88f2adf8', 'b014023dfb2ea9fe', '3d9e16d8ef4fccc8', '745686abe5c2f2da', '1b2bfb2e03827c26']; context = [[22, 66], [0, 55], [38, 80], [55, 117], [10, 58], [10, 55], [5, 63], [15, 56], [5, 72], [66, 108], [4, 45], [144, 184], [131, 180], [3, 51], [21, 66], [10, 65]]; loss = 0.010786 low_pass_filter = 0.300
+Epoch 0: | | 28599/? [5:24:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 28600; scene = ['c36f204f4935f56a', 'a11b25880bc2ffd6', '27ff41a96f02b97c', '4c02e41f39fa24e0', 'aeaed8c44ce38f0d', '68e42cbc6dcfc725', '08e1c61005ae86ec', '4b0a68d37406a651', 'ec5f9801aa83c8aa', '4f456caaf8e278eb', '6178471c127377c0', 'a2e2c2e66db9a05c', 'fe0f537ed404cd7c', 'e129207a6fb70b7a', '640c27b117876bef', '7554edcbb2a0f82d']; context = [[51, 122], [68, 114], [17, 79], [117, 170], [5, 54], [33, 100], [47, 98], [25, 80], [1, 46], [3, 62], [2, 72], [37, 83], [120, 188], [31, 90], [13, 63], [17, 89]]; loss = 0.008497 low_pass_filter = 0.300
+Epoch 0: | | 28609/? [5:24:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 28610; scene = ['96e35374a892ac6e', 'cd50c121eff10ec6', '776d6e3d5a4941de', 'd41560daed994b6c', 'b615dff0d6658715', 'b25de35dc81a1279', '7c8e1c58421a9f57', '57acd3c88fb731b2', '7c85481e2834e905', '21ea2c8f2f914e52', '38e96cff15428333', '651269af19b64849', '46280d14ecb9cdaa', '418eb9f06382bfc3', '5a2b85fcc1ba4d04', '100d2313d1fdff69']; context = [[11, 61], [5, 71], [22, 74], [5, 77], [19, 76], [0, 71], [48, 118], [16, 78], [210, 252], [16, 66], [0, 54], [95, 150], [49, 102], [86, 142], [62, 108], [8, 50]]; loss = 0.010969 low_pass_filter = 0.300
+Epoch 0: | | 28619/? [5:25:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 28620; scene = ['bb4c043078a5b91e', 'c3e773c9ea1f4727', 'd6fc181ec9c1537f', 'a3af6cb061c06d46', '3f9ae08552374fb5', 'e54b5eec8cc47776', 'd8e5c190e8400259', '095889891b7da599', 'a6f33152fd042ca4', '3f1a1e582e8c1158', 'fa56250d112da444', 'cad8d99d5938a98a', '1b4dc23d94ab138a', 'c34c5bd5ccbc0ee5', '3897774841845bec', '3c124a8f0d2e2988']; context = [[14, 63], [19, 60], [9, 68], [70, 134], [60, 130], [6, 80], [16, 58], [4, 61], [10, 51], [18, 76], [77, 129], [1, 65], [35, 77], [9, 53], [9, 51], [28, 88]]; loss = 0.009311 low_pass_filter = 0.300
+Epoch 0: | | 28629/? [5:25:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 28630; scene = ['5f682a64a6caef5f', 'ee32367f85a7cb25', '76371ad725a760e5', '2b7c4fc5837a4cb5', 'b2614462000b188a', '052aa87d96ef68da', 'f610af52915248b8', '802a2c4f1cdd375a', 'aabafe6563b3cf60', '3bac2a1cdec2f5b8', 'e46a38e9be8ffe46', '97b2caffdf0c4b97', 'ff531e6e82b576f0', 'e0919b7dad9888d1', 'ea62e3ebd5a10e62', '36591589ad16fffd']; context = [[50, 116], [98, 158], [38, 84], [59, 116], [15, 87], [8, 75], [8, 50], [136, 188], [75, 115], [6, 63], [86, 149], [26, 81], [16, 71], [30, 97], [186, 258], [157, 205]]; loss = 0.011134 low_pass_filter = 0.300
+Epoch 0: | | 28639/? [5:25:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 28640; scene = ['5b0fe3910093f8ed', '936cfb94d0fa2d95', '94c8f1c6ee33001c', 'c177284557cac835', '7c04cd39e6b4bd9d', 'f26cb76f4f1482ca', '2beffba3b531b579', 'e6bffe056df50f5a', 'af682b0ac0a6af53', '64178fa9e691eb9d', '353ca9b87c6ea74c', '8519d27532729dd4', '3352e138ccac13f2', '40df765baa02ddbc', '152bfa6dd2ed2d91', 'c3a524b4d053b421']; context = [[0, 41], [1, 43], [32, 79], [124, 164], [79, 146], [18, 68], [14, 86], [93, 142], [123, 165], [2, 69], [227, 270], [5, 56], [50, 108], [4, 66], [49, 122], [180, 240]]; loss = 0.011360 low_pass_filter = 0.300
+Epoch 0: | | 28649/? [5:25:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 28650; scene = ['9086929b365d2a3f', '9e2be97628cfffeb', '0c2e8dbc7c1fa4d3', '3b253958e49a169f', 'e14f4c7e2b5bf74a', 'ecb85a80a1fe7b8c', '0e361cd3050f0a1b', 'e3b3d9b0d8fa9df6', '35f3fc9b63fabd73', 'b2b3eb2502433212', '4fa5b973a37f2ed4', 'a020f3293839f1a5', 'a0c2e85b87cdef90', 'cc6c8d74122beb91', '0c52454885189188', 'cbb91c77a7526d61']; context = [[6, 75], [3, 44], [131, 179], [117, 183], [19, 62], [85, 155], [1, 45], [16, 90], [17, 58], [8, 73], [1, 43], [32, 104], [128, 181], [4, 47], [0, 65], [3, 51]]; loss = 0.008519 low_pass_filter = 0.300
+Epoch 0: | | 28659/? [5:25:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 28660; scene = ['9cb2468ed48b5fad', '530aee7e4221e7de', '69e667ecfe78bb3f', '16aa4a9783317cb0', '65f1a35468f6b32c', '7ccad0917043f74b', 'e09a82670b5bdd56', '43b39a6fba1f9169', '99459bda32d09b3a', '2718fcca65d2f1c3', '90581cd87395ed12', '7c8e2c32f609e60b', '3392e48d1d6b9d8e', '4394103a63b98852', 'ce7628000f58011b', 'd43365e35b81ceb0']; context = [[86, 142], [1, 64], [75, 128], [17, 71], [47, 93], [129, 172], [38, 80], [146, 193], [16, 58], [12, 84], [28, 78], [38, 103], [72, 137], [11, 81], [3, 67], [42, 101]]; loss = 0.011389 low_pass_filter = 0.300
+Epoch 0: | | 28669/? [5:25:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 28670; scene = ['aa3520c25c879a9f', '770ffcd0c79519aa', '3ca8df0cd8efdb59', '96e2eb5a35b46298', '6f2e1d1066f7d871', '3001a8b7349d627d', '8c6f0f3ea9dc7bee', 'e0cc4b7664a79c4d', 'c834b39a058f03fd', '9e4038d6ef007f0f', '536d4a2b86ee53be', 'e18892b50162e698', 'bc9172aa1955898e', '56aa518958e66903', '9fa4e4dcbf356d32', '17dd546c069a1904']; context = [[34, 87], [110, 179], [109, 153], [3, 65], [9, 79], [3, 64], [2, 48], [77, 132], [87, 138], [223, 274], [0, 54], [115, 165], [91, 155], [28, 80], [5, 66], [3, 61]]; loss = 0.008393 low_pass_filter = 0.300
+Epoch 0: | | 28679/? [5:25:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 28680; scene = ['d61b2ffb090ab82e', '68d25ae85d2f5cae', '738543a84b2b0667', 'ac85da0c05c229e4', '2d6daea339faff88', '63331dbbbfe80f5f', 'bcb68900df3fb3c7', '2ec8edfc07c8841f', '2cb2d8255676e654', 'e741fa80ebe93837', 'b18b0e59cc8d6d53', '7a8d8426e0d1c1aa', 'f8fb4c5f59b50530', 'a2fe0ee3e737c073', '7bdad49548efe595', '02cebccd52e7833b']; context = [[3, 64], [3, 63], [40, 113], [62, 111], [116, 180], [77, 140], [2, 64], [0, 44], [5, 62], [3, 59], [19, 68], [0, 74], [27, 72], [69, 112], [10, 53], [19, 67]]; loss = 0.012276 low_pass_filter = 0.300
+Epoch 0: | | 28689/? [5:25:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 28690; scene = ['7b5442741b4ad783', 'f9e5cbd539cfa837', '685b6c222cfb2558', '26bf0e253e41e11a', '11a2ff11b09706d3', '16567c3444d63d6c', 'e4c4750ddc1a58bc', '86cd3438e7d886c4', '6113251e446acab2', 'cc8d60b67533bda7', '6e022744f8823ba4', '100c1419734fba67', '13fc20c6d6d05c09', 'aece43a03f5a4a78', '2659ec816ec78ee5', '33438ecdb87d0bcb']; context = [[0, 56], [102, 163], [2, 72], [59, 111], [7, 57], [15, 78], [45, 115], [2, 53], [33, 95], [35, 93], [97, 159], [90, 144], [37, 99], [4, 63], [27, 84], [188, 231]]; loss = 0.010664 low_pass_filter = 0.300
+Epoch 0: | | 28699/? [5:25:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 28700; scene = ['e73e0f80ee7325b1', '5907249a9fd46e01', '500c86fbe171cbc6', '06664cf7e79e23e4', '2fa6868d077d8170', '944064bb05da56f1', '070f5fde5fa6c61c', 'dd65f651f4c0fa9b', 'e3e1a3f596f25e4b', '0eef1f291b126594', '951fd738427071a9', '029fba664425823a', 'c35e6d31102cafa7', 'a1be7f06fef9077a', '397e1fcec212c272', 'f6db03fcdbf3253b']; context = [[20, 87], [22, 88], [12, 68], [63, 121], [42, 108], [100, 150], [22, 70], [24, 89], [93, 134], [21, 68], [92, 140], [1, 50], [2, 62], [136, 179], [10, 63], [44, 112]]; loss = 0.012169 low_pass_filter = 0.300
+Epoch 0: | | 28709/? [5:26:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 28710; scene = ['6bda2ed53a6c45a0', '4f0388620a33c099', '09b145bcc2d32627', 'fc0c437a3eb1dc0a', '072ace91e2fef373', '06e9f26b5f803220', '5a38b8d664c399f4', '1b2e793d39caec3f', '270ec2d099edfccd', 'b0139ba67c176260', '25dd017c409dc6ff', '69029690713e2555', '9244ece752e135b3', '9af39f3dadb1471e', '3df3b8e8df43de20', '98063301fa1a5439']; context = [[0, 43], [66, 122], [57, 122], [15, 68], [44, 99], [157, 216], [4, 54], [35, 97], [14, 79], [218, 269], [71, 135], [79, 130], [42, 115], [13, 55], [108, 172], [0, 72]]; loss = 0.009176 low_pass_filter = 0.300
+Epoch 0: | | 28719/? [5:26:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 28720; scene = ['24fba0e6aa6af98f', '20045f4782cb52ba', '94ad9ac9d5fc25d1', 'da6552eaffe605cd', '37f28ca0c73ae057', 'a5b032ef6a4d3ce4', '7709edd1d8cd1946', 'e63d845cb83be6c9', '0e3abbd980a263fe', 'd815e00df962638c', '4b51e4231150adf4', '0bdca1b88deda4a2', '16fd5a162c4b0093', '7e8e66f4e02657d6', '5f28b2d3f4828007', '6ec006a4adb5a42f']; context = [[43, 89], [153, 200], [109, 158], [2, 45], [27, 86], [85, 149], [16, 83], [15, 85], [10, 75], [62, 114], [60, 108], [18, 80], [68, 115], [15, 63], [6, 54], [32, 96]]; loss = 0.011279 low_pass_filter = 0.300
+Epoch 0: | | 28729/? [5:26:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 28730; scene = ['5e56cda42b8a9d7b', '9c6ef1e78270e053', 'b17038a5992d2efb', 'de1221dd6506c5d0', '276a13f09ec9a0dc', 'ae102f2e58ac735b', 'f4559e045f3090e2', '81eb6c7798c391a1', '206ab8a8f71bc4fc', 'ebc54fed0e24fa6b', '41b75f50a603fe9b', '445112299044c265', '5e1da375ded17ca5', '2b7738339f78cbcc', '27bfd6d0353eeffa', '15aa80e12e6979f3']; context = [[4, 45], [32, 106], [2, 46], [29, 96], [85, 144], [214, 255], [5, 70], [1, 55], [14, 55], [31, 89], [78, 139], [7, 79], [0, 58], [6, 60], [9, 61], [150, 191]]; loss = 0.012236 low_pass_filter = 0.300
+Epoch 0: | | 28739/? [5:26:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 28740; scene = ['9d8ddcdbe1f7ac42', 'df71fbb70b19cbc3', '29c01e460bbc57b1', '8ca45d3749f47ece', '8ef412fa76f4ced0', 'b3c375b35694b37a', '664c82ce45c2fc65', 'e19035718da80566', '852c1096389dac20', '7e8be15607bda439', '8da49a4df37d64c4', 'cbc5079a5e106cf9', '99df0e9790c603ff', 'a177d2fe364ccb70', '791aa6312f1d31bc', 'ff1c53b47030e748']; context = [[0, 44], [7, 64], [1, 51], [5, 46], [1, 75], [115, 158], [0, 64], [147, 203], [19, 75], [10, 77], [0, 40], [88, 159], [10, 84], [84, 153], [68, 110], [17, 57]]; loss = 0.008794 low_pass_filter = 0.300
+Epoch 0: | | 28749/? [5:26:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 28750; scene = ['bc0dc36346da20b0', 'f0c98d9d2b7f6b25', '226f31dcfdaf71f6', '0511be7085235229', 'c8198e376ce5fe21', '6bcc23e1031228e1', '29c5fa6a83baac7b', 'de3ccf8d3c418bef', '51d68b77c408e914', 'f8d7d5f83350ba50', 'd12ccb9176baca06', '807a812350f25893', '1e2c9a89cbf36161', 'd7f2d82f83e70693', '98f7a067bbb96008', 'e942de9a7b77dc44']; context = [[26, 85], [0, 42], [17, 63], [17, 74], [45, 116], [4, 60], [48, 115], [8, 59], [130, 184], [99, 154], [8, 69], [38, 96], [195, 255], [171, 230], [2, 63], [19, 63]]; loss = 0.009175 low_pass_filter = 0.300
+Epoch 0: | | 28759/? [5:26:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 28760; scene = ['a4945b7f65c2e00b', '9752656fbe957d0a', 'b1d142790db66311', '042ddfb169d6bbdb', '6d51b12343179f02', '84f60ca2323e9654', '4e1c106e3effe9bc', 'cb155c027de7a145', 'cc2226bd7f8faab6', 'd110e65023ed8364', '38a6a1ac5db4c9ca', '6ea0ff32c8ea695c', '342099a48847f4f6', '7d9fc989aa9c6149', '17733564c89eee4e', 'b0b2384640a9a7ff']; context = [[15, 63], [10, 72], [5, 67], [169, 241], [48, 120], [16, 77], [64, 134], [48, 114], [1, 64], [209, 278], [66, 124], [27, 90], [24, 75], [2, 49], [175, 243], [28, 93]]; loss = 0.009001 low_pass_filter = 0.300
+Epoch 0: | | 28769/? [5:26:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 28770; scene = ['64fe48431956f5a4', '546252fa9fce9180', '194d3524ff721743', '563a22d6074fdf24', '03203af97d6cf03e', '7543d9df60679634', '193e4b6a051b246b', '219d6fa361e2200a', '21c1d6f293998c88', 'af50bf60c9639647', '52b9ac23fdfbac93', '74eb411688ba5e15', 'ac64989dd2b2a22a', '777dec8c405e3f57', '3977e67f033992e8', 'eb5a6e0843067cdc']; context = [[106, 176], [29, 75], [50, 108], [0, 72], [16, 80], [7, 71], [76, 127], [13, 59], [42, 85], [49, 95], [4, 51], [4, 75], [56, 116], [1, 54], [2, 66], [27, 92]]; loss = 0.009270 low_pass_filter = 0.300
+Epoch 0: | | 28779/? [5:26:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 28780; scene = ['8f2c852f336bfb3d', 'a53cae6550f95a38', '9620b0a596971473', 'd5960a4f8636bc77', '054a098d517cd27e', '9c41777f108288ed', '67642ba9afa1b1cf', '8a6f058ea1b60e96', '687b773cc20cf2ee', '5994a80afa6ef0fe', '2369b06fbf07fe26', '3bdf8df6c39efd67', 'bc51d02a05fce838', 'e52bb29b8c03f39e', '7e39fdb0eefece03', '40aa327f7c331a8e']; context = [[7, 54], [14, 72], [126, 177], [150, 194], [29, 98], [11, 77], [0, 54], [34, 100], [0, 42], [21, 70], [34, 79], [29, 102], [171, 234], [20, 85], [5, 78], [38, 94]]; loss = 0.009931 low_pass_filter = 0.300
+Epoch 0: | | 28789/? [5:26:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 28790; scene = ['65ca7e94d3b96084', '48cc352969a825b7', 'e91ad187bebc2b26', 'bba36936dcdaf4c7', '6f0f0133f8cd5eaf', '5f61074b8462150c', '6e4f4a49ea0e6a3a', 'd96f4644b2bc561a', '1987e5287cf07ea9', 'a48c2ca51c2f6577', '662c746215388880', '5e78af90c3e5d57a', 'f299ba5cdef8e35f', '3dab79d6331a4331', 'e758c80eeb625520', '96292e5e47cc9fc1']; context = [[40, 107], [45, 106], [33, 89], [73, 143], [0, 74], [153, 211], [5, 52], [16, 67], [43, 84], [4, 71], [49, 96], [137, 192], [0, 46], [141, 209], [51, 109], [87, 159]]; loss = 0.009651 low_pass_filter = 0.300
+Epoch 0: | | 28799/? [5:27:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 28800; scene = ['de8f8833f7249ae5', 'c6ef540ba2a718d9', 'dbf467916b239e3c', '1f0559ea714b0512', 'da56be0a53c87ce8', '7b8b6dd12d98dc96', '087e266555c5100d', '6155f5739d22df86', '391dc0b5d288f601', '056cd557d2bdd490', 'eed0aeb082d8727b', 'e6028373d0388cea', '16a3dad8315912bb', '3afecd065021c4c0', 'ee1dd370404cf055', '1d2c9ffecd057d36']; context = [[85, 141], [45, 103], [23, 68], [27, 76], [56, 109], [83, 131], [5, 68], [3, 68], [17, 81], [115, 172], [14, 77], [42, 115], [0, 40], [21, 66], [177, 245], [6, 68]]; loss = 0.009654 low_pass_filter = 0.300
+Epoch 0: | | 28809/? [5:27:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 28810; scene = ['9922a4813abfef5d', 'ab7e206549255e0d', '5505150f6f3c1b41', '9aefa60e71537b35', 'b3c9ebc907ec6e04', '3dbb2c1bc521b62e', '5228c2104f8fae53', 'fc8e5038180d1870', '32594792c3f9361f', '2c818e06fab2adb1', 'b407aff58d0b2042', 'c470e82acd641c32', 'c953d129166956cf', '242016b24b4251a6', '3d2496a06b64ab52', '531dbcf740193f4e']; context = [[17, 89], [12, 83], [36, 110], [0, 46], [158, 198], [123, 175], [108, 169], [183, 238], [17, 66], [9, 59], [97, 164], [9, 73], [11, 55], [56, 110], [70, 133], [7, 48]]; loss = 0.010103 low_pass_filter = 0.300
+Epoch 0: | | 28819/? [5:27:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 28820; scene = ['d1982e484d90d2a2', '3cf925236cbd3e5a', '09109e0c9711a480', '7acc85ef88e5a186', '80d4d02464edb6e3', 'c53f5fbaa207e94b', '84339271308b5cb6', 'c40a2ea96f6a035c', 'c6da0d81f35e345d', '7e858407f6705790', 'd253a755fbd1d015', '2ec9b3196d12c94d', '8836f80f85832118', 'c8a1f2c1e73ff3d9', '0dab6f9ed41bf09d', '257ab5c1a83a0664']; context = [[32, 96], [24, 73], [103, 169], [30, 81], [88, 149], [72, 125], [49, 117], [0, 41], [146, 190], [23, 93], [6, 62], [204, 260], [24, 72], [1, 52], [74, 121], [2, 43]]; loss = 0.011042 low_pass_filter = 0.300
+Epoch 0: | | 28829/? [5:27:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 28830; scene = ['e5c47b626f9a7fa4', '7d4efead6d44dd4c', '674835273a35cbdf', '165eaaa2a7b5c11f', 'd28a4b53b6fe0a84', '7e762d0c67252a36', '69cc85f49345c36d', 'e1d54f5b0c99afc7', '991b3ad0e6529d38', '4292af9da6eab2e1', '1d49bc9391005354', 'be0ce1ab279edf70', '02c8c0e9587b4417', 'dbe7ffcf03148e8e', 'f1acae7a283e8298', '1359aae95ae32f92']; context = [[0, 61], [62, 123], [14, 76], [1, 48], [8, 58], [11, 59], [37, 83], [32, 96], [41, 98], [196, 266], [8, 80], [5, 67], [4, 62], [0, 60], [8, 59], [14, 78]]; loss = 0.011096 low_pass_filter = 0.300
+Epoch 0: | | 28839/? [5:27:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 28840; scene = ['8715a1b4fda38323', 'cb9fb0de27b9e658', '39866fa4dac21c68', '3c7144d9d955132c', 'dd5052b4e6eace78', '9dec68509b4f3979', 'fe8feaca8c0571aa', '6fbc2fd175a914f1', '679895a88529a64a', '10c430f0b55254a1', 'c899916acd553c9a', 'f3818ef1c738cf74', '89fe7005e1d9debf', 'c8d9b5cf9ebb5419', '7340966e764f81b0', '03f7460f8917b6d5']; context = [[63, 120], [15, 62], [5, 55], [15, 89], [19, 59], [19, 91], [10, 52], [4, 63], [71, 130], [30, 80], [3, 65], [192, 239], [35, 108], [63, 126], [0, 58], [119, 163]]; loss = 0.009451 low_pass_filter = 0.300
+Epoch 0: | | 28849/? [5:27:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 28850; scene = ['67e60e8d574503ed', '8f76cf20198943f9', '99aa8fe19b8215bf', 'cd746201c3c6cb74', 'bddcbc19a6e72db4', '71a23bbc6bbbe3b9', '9790cca738845fd8', '63da47e50e923268', 'e6c85be23fed04b5', '402d1153b582b8a8', '08f81561d2f0195e', 'f34809973ead56df', 'dff8abe7fb65a56e', '29abc638286c5fea', '792225d2e2a82033', 'eecabe2d591d9fc2']; context = [[24, 94], [143, 193], [6, 53], [75, 131], [94, 155], [19, 90], [2, 69], [9, 52], [23, 81], [23, 84], [186, 254], [26, 83], [12, 61], [10, 65], [0, 42], [80, 147]]; loss = 0.013106 low_pass_filter = 0.300
+Epoch 0: | | 28859/? [5:27:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 28860; scene = ['8ca97af66552f055', '87fa399fdd73af24', '4b846a205819d8e5', '398fc172733ae106', '06fbc8d45e60e49b', 'b020cec718b2a496', '47a8853f48974faf', 'c12b4b8fce580e89', '703860a4a2fc4649', '8c9eb97a7653d4f0', 'b791fb38e3fd8d03', 'da2b6199a9135d43', '004a40da569ee807', '1844d01379136fde', '8913a77c9f388657', 'e7066bc6213cf70a']; context = [[65, 137], [0, 56], [138, 184], [28, 84], [15, 68], [11, 69], [178, 227], [139, 181], [21, 69], [27, 97], [48, 107], [117, 187], [50, 104], [18, 62], [25, 69], [14, 79]]; loss = 0.009600 low_pass_filter = 0.300
+Epoch 0: | | 28869/? [5:27:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 28870; scene = ['923bb7b5e536e479', 'd5dce1bf0842df59', '58187af293ad8b35', '4763370f2ce77179', '08d205f4f1290034', '046fb9f668ac6b20', '9c9a09dc05ae0717', '6bc1f4da43d84f90', '900bc6e39af26c05', 'd60d506eb1bebd6a', '03b718ad527c4d1e', '21638997ab0430ad', 'f9ab9226cc1162d2', '0f9993251cf16d93', 'f21b340b0c6736a7', 'a5a6c26cc05f9896']; context = [[26, 76], [0, 42], [34, 85], [7, 57], [63, 132], [136, 187], [168, 221], [59, 119], [35, 87], [5, 63], [78, 122], [92, 156], [112, 164], [61, 124], [61, 115], [0, 40]]; loss = 0.011957 low_pass_filter = 0.300
+Epoch 0: | | 28879/? [5:27:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 28880; scene = ['5c2861f1cadc9406', '9d002fa0a67575b5', '6f09662a0d3097aa', '4f00f092855236d2', 'b78d7b4487c46ca0', 'd34baa0609c196dc', '257e1b31b3f99f45', '6795e5341d34cb89', '4b7fcb1de6b31093', '208d50cbb155ae84', '6e3ccf2193f8275d', 'bf9e918931dc1d2e', '7a6162d260dd845c', '140e9646d72d09f7', 'c72a6c3ac24e0c6b', 'a088ee635f921d52']; context = [[4, 62], [11, 83], [85, 135], [204, 262], [43, 85], [15, 68], [35, 78], [7, 48], [10, 83], [55, 115], [66, 123], [4, 44], [4, 77], [5, 56], [7, 65], [19, 71]]; loss = 0.008509 low_pass_filter = 0.300
+Epoch 0: | | 28889/? [5:28:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 28890; scene = ['02ee92ce0474d617', 'e6828e4eb26c2f83', '18a1b3760e40d9ac', 'eafab5a4d0a85c15', 'c95e4eadb5265b1c', 'd5ac40102b33b530', '039c99628d6ca6f9', '6643261a369ffb84', 'a97001a730403d8f', '43017fb4aed6625f', '2b0cfab67601662a', 'd3e9fb196b944937', '0a178d6a8d53c07e', 'c2b88667c45d9508', '0895217c1d75fc75', 'ffadc5456128c7f5']; context = [[5, 62], [62, 102], [37, 86], [146, 212], [2, 72], [0, 61], [2, 51], [155, 197], [9, 73], [16, 63], [3, 60], [11, 78], [3, 44], [19, 73], [5, 67], [147, 206]]; loss = 0.008803 low_pass_filter = 0.300
+Epoch 0: | | 28899/? [5:28:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 28900; scene = ['32a20b1e5eba48c4', 'a559ed659c3d87e2', 'a3d0cca9fb57fd85', '231fd0a735520713', '5797fc9321cf7baf', 'f6318ce59651d073', '3684a63a1d0cc394', '179cb42db666256a', '7f518de476153a28', '95b457a2bf43426c', '4858ff2c0bf9c819', '8bb025b1d8e8a9e3', 'f13d40fcea581125', '385f9bcdb97bb766', '496e6fc19c13a4bd', '882e5b83bbc2027b']; context = [[1, 56], [104, 155], [21, 63], [117, 167], [42, 94], [22, 73], [105, 160], [164, 225], [0, 41], [35, 76], [184, 246], [1, 67], [174, 226], [158, 220], [3, 56], [11, 65]]; loss = 0.008969 low_pass_filter = 0.300
+Epoch 0: | | 28909/? [5:28:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 28910; scene = ['3705cf295c1284e5', 'a479cdf59a8b898b', 'cc53eb354f04f9b4', '8649586e933c7715', '56b412efca8cd744', '67e81bbe28f8da40', '0c9b2631e6eb3b4d', '18d0314631ef255b', '7ca9ce44e0a42fe0', 'aeb0310bf069c6b1', '834efc0a6b25df27', '5fe02cb7f8e0053a', '8b9464ff35895e7a', 'f6e8af9548e8bae6', 'ece38763f3341f27', '266ae731dcd710d2']; context = [[26, 69], [44, 100], [2, 66], [9, 81], [84, 145], [15, 78], [36, 77], [24, 89], [32, 72], [173, 224], [13, 85], [79, 134], [16, 67], [162, 226], [11, 56], [72, 136]]; loss = 0.011324 low_pass_filter = 0.300
+Epoch 0: | | 28919/? [5:28:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 28920; scene = ['5c9fe663b5ef4455', '53a5d71340f06126', '923d2553d35a6d22', '4a836695ffd00e9a', '3a29c0593ca440c5', 'aedfba3f04e24043', '9693cbca200b4f6b', '7b76a92fa62c4c69', 'bafb967ba16f2dac', 'ef2563a0feee9cf6', '9e6d2ee8be04bffd', 'a550bd5639d72a90', '8f0a53b40fc2fc33', '0495777304398cd9', '01212d27fbe9df5a', '26dcc318957a558d']; context = [[46, 115], [30, 77], [143, 202], [61, 104], [13, 77], [9, 83], [4, 44], [195, 251], [26, 72], [61, 126], [9, 50], [92, 138], [51, 100], [47, 99], [31, 98], [0, 74]]; loss = 0.009774 low_pass_filter = 0.300
+Epoch 0: | | 28929/? [5:28:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 28930; scene = ['1b3dc910197fba0e', 'd5e2d4a639e271d7', '5fdf8298e3d56d54', 'ed97f5b422b79242', 'bfe965e674117e0a', '6e5d576038f561ed', 'f12f544ed5df8605', '5cbd109931e3fe1d', 'a4abb1cde2e10cdf', '1689a6a8e0af825e', '6d45a2090f8a7bee', 'd60a0aa6d5711b80', 'ca9f9eb29db75829', 'c8234e5da5f366ae', 'f625bc1d8fe98cc3', '1badfac3b77b18f6']; context = [[66, 138], [9, 54], [0, 40], [24, 65], [17, 85], [77, 131], [47, 94], [5, 45], [27, 101], [199, 267], [0, 70], [10, 59], [93, 140], [17, 86], [41, 93], [1, 45]]; loss = 0.009716 low_pass_filter = 0.300
+Epoch 0: | | 28939/? [5:28:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 28940; scene = ['30a737763bd2a911', 'f81aac43ea74ff44', 'bec7b7bd2fa60eb3', '607224e86f068935', '1e53861f346b0f7c', '65d335b19bca4c2d', 'de1181d6c642e883', '125318c9856ce742', '8049eef0ee607a97', 'a025554e94654c2f', '07278d9d2d1e4e6f', '443d63805b3fd4ef', 'd6dd35d96ec83e83', 'b877fceeed5942d8', '558684b06f159a0a', '590d0d46abee63bb']; context = [[33, 92], [1, 62], [7, 58], [31, 87], [17, 70], [78, 144], [116, 160], [37, 96], [34, 74], [145, 216], [53, 100], [124, 194], [0, 49], [25, 74], [0, 52], [24, 69]]; loss = 0.010162 low_pass_filter = 0.300
+Epoch 0: | | 28949/? [5:28:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.0train step 28950; scene = ['8e704b8171b2dd7c', 'b9c0beab80c28377', '917be2bd3c7a28d7', '8a1d2b081aa7649e', '1629b949594b36b5', '4832765fde4b5c76', 'c90a6a1367ac2983', '6f20647f5a7ed154', 'b285926ca059a521', '8ceccd568474348f', '9ab83ba6f3dee716', 'db40e459c8979778', '6af18067925fa678', '344337509a48a21c', '28ada2a08238d1c8', '272f7a997c94d84f']; context = [[0, 41], [24, 64], [45, 113], [207, 262], [1, 60], [38, 96], [41, 89], [32, 91], [118, 183], [24, 68], [21, 78], [69, 109], [64, 121], [120, 191], [5, 74], [122, 180]]; loss = 0.011282 low_pass_filter = 0.300
+Epoch 0: | | 28959/? [5:28:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 28960; scene = ['c2a67e26647c1e9d', 'a9e831bd27fc9d1d', '94d23695debabef9', 'ca517568198b38fc', '9bedb2eff1cc0ef6', 'af973133388b427a', 'c4c25091ecc2c5e5', 'e238437c5c59bf7f', '618d37c771bbfe59', 'e8dd58228cf4436f', '3ce0a9cc3874aee5', 'a45e9fecea8c15c2', '7a915db6a6bfc2dc', 'a6631edae47463d4', 'fc726e9da7ef022a', 'e8a2f62859a3727d']; context = [[106, 159], [51, 91], [6, 61], [5, 56], [35, 100], [7, 60], [11, 73], [13, 54], [34, 79], [64, 114], [135, 187], [169, 225], [3, 60], [138, 184], [1, 49], [14, 64]]; loss = 0.010234 low_pass_filter = 0.300
+Epoch 0: | | 28969/? [5:28:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 28970; scene = ['a5d054dc249a0291', 'ab03c2979623d6cb', '605c98b35d15551d', '2daabb0611aabbcf', 'a7067337ddfb6af5', '8b81f3d28dd590fb', 'e9b9ad20889455df', '090ced9a667843cb', '35e2e0c67e738b87', '41d454a6a4ccc3c6', 'bea5493d136e28a3', 'e9c6f415d779746b', '29fb114d6a8e8b4f', '1db8db266bd7b824', '285889f46472d93b', '3c574f60fb9adfc7']; context = [[17, 61], [0, 71], [92, 151], [29, 101], [63, 129], [143, 211], [58, 111], [145, 188], [93, 147], [208, 257], [1, 43], [6, 47], [13, 75], [132, 181], [104, 163], [40, 83]]; loss = 0.008510 low_pass_filter = 0.300
+Epoch 0: | | 28979/? [5:29:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 28980; scene = ['8ed6bd5510e508fa', 'ae8bc0141db29362', '346afdcdd046633a', '4b008f9c4337a48a', '0d1b95f947442c42', '3b0f00f513dde6ca', '14db202c335af709', '16d3ec890df5ae96', '33ccff66d42f5db9', 'ffea2c687693b2e0', 'bd65a22a1e0afab9', '47396d5a5299873e', '02d0ad66e1043e20', '4c9b35d3b2045ce0', 'd40a708e5cfc30a4', 'f93c284c77d0738a']; context = [[64, 112], [114, 189], [24, 89], [96, 143], [23, 68], [51, 113], [59, 116], [0, 43], [2, 64], [18, 58], [14, 68], [3, 66], [73, 129], [5, 55], [3, 46], [38, 113]]; loss = 0.012022 low_pass_filter = 0.300
+Epoch 0: | | 28989/? [5:29:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 28990; scene = ['db91fed7543340ef', 'd85e72198954fedf', '61c1a8c9a5bbb249', '90a596bfb6501865', '155bdf703c9d2c78', '01c72bfd2acc1bf9', 'ac522c134dfe7713', '820efb23bec5de13', 'c31c79f118bf1526', '09084445f13c2ecd', 'a8e31e388f09de2a', 'ae12457eb84c3109', '76621f74252ed3cf', '20eea6e0a91b2cd5', 'deed1be47150b1f9', '4aa10f2a675ba1fc']; context = [[9, 54], [8, 69], [5, 66], [70, 114], [19, 77], [24, 86], [222, 268], [0, 75], [84, 157], [103, 159], [137, 202], [15, 70], [66, 116], [26, 91], [46, 107], [12, 71]]; loss = 0.045425 low_pass_filter = 0.300
+Epoch 0: | | 28999/? [5:29:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 29000; scene = ['d2bb7463fe19637e', '3b65829d6b1455e5', '6c4460628810b20f', 'ec723bd46c6bb0d8', '40d6b441889e1124', '9b8bb08ccaeeb8f3', '5edf1a4936d1e3cc', '4fdc641d03ea4cfc', 'ee1b42096b7e9290', '195686413a5db857', '5951af157af185d3', 'b0be2931a2325f87', '0c95664d34705102', 'da137a620bd5e31e', '3e3bdee0d09a1df6', 'fbe4178be70f09de']; context = [[10, 55], [115, 189], [143, 204], [29, 93], [42, 97], [32, 95], [64, 111], [35, 79], [6, 55], [55, 103], [54, 98], [0, 66], [48, 121], [36, 93], [192, 244], [2, 50]]; loss = 0.010676 low_pass_filter = 0.300
+Epoch 0: | | 29000/? [5:29:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0validation step 29000; scene = ['4955f54f807ef5aa']; context = [[5, 46]]
+Epoch 0: | | 29009/? [5:29:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 29010; scene = ['fd49de1335b98352', '74d7c2adcecd2b30', '6f5e801f06d3049e', '4f40c57cfb094233', '53c27ddd5ade14e1', '4c9f2a396de81a41', '6b65ff9c9cbf081c', '642cab214d35f82c', '0ae59238a62ddee3', 'fa35f9e55bbdde00', '4618698bb2ab83d8', 'a28c0b4342f96095', 'ff0fdcef9ed61fe8', '67d352381d7a7b70', '94e215648c3a36ce', 'e8ca01ea17b4d5bc']; context = [[83, 138], [1, 72], [0, 56], [8, 80], [2, 45], [100, 149], [11, 83], [23, 84], [10, 74], [0, 74], [80, 132], [6, 55], [1, 46], [44, 118], [134, 206], [45, 112]]; loss = 0.009369 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 29019/? [5:29:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 29020; scene = ['3c92a33b159be5aa', '2fe48b787ff699f5', '59a0a5c091b8dd89', 'a770c86f2059dbef', '75fe4c914a4035bc', '4ede83a5aea0010f', '0dfbccbfd1f98e92', 'b076f2a5b52d1370', 'ef77f5e4ef9e62b6', '2843579651f9596e', 'c7f49b38fd7eefb3', 'cb721728aa3c15de', 'b7614724a495cd4b', '08e0627969b8514a', '0d9643db1fca8e9b', '5c49af63ed05b277']; context = [[54, 100], [2, 42], [0, 52], [69, 135], [16, 63], [14, 58], [20, 77], [161, 203], [105, 173], [2, 61], [2, 43], [7, 81], [46, 94], [15, 79], [3, 45], [13, 58]]; loss = 0.009987 low_pass_filter = 0.300
+Epoch 0: | | 29029/? [5:29:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 29030; scene = ['5ff238d3fbe7ea4f', 'a24967a730ebc2fc', 'd6dba7b939bd71e6', '7c6e11f01c36ad07', '41bbcb5954a17c24', '19f106c5f56ad5e5', '6223b736736550fb', '6712459dd798fb34', '25ec2f2b3a0d6128', 'e12f8fd924b2ff2d', '8008f2d012c86037', '25cc0fc657ec68dc', '8b69ba4b99dcd46a', 'b7f576be65cc4637', '2bedce9198d2994d', 'fb1ce36de4450ea0']; context = [[39, 83], [0, 40], [9, 83], [8, 74], [162, 218], [17, 70], [45, 112], [7, 49], [4, 49], [133, 197], [23, 66], [102, 159], [1, 65], [155, 206], [3, 69], [2, 52]]; loss = 0.011541 low_pass_filter = 0.300
+Epoch 0: | | 29039/? [5:29:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 29040; scene = ['635320fbf02d95a5', '5fe67367df42db12', 'f56f8e7cbb3a78a8', '94feb8753dc588e5', '976678cbd7ca0f6f', 'f50ba46a2e4d9374', 'e2b72d4097132ad6', '47a9fb3d098118fb', 'ce0c76aced4c940d', '7f7fb3ec8006e9f6', '05165cc51d34552d', 'ad956e3a7e0f8e80', 'e9e24be1a50ca8e5', 'fc22b9ea83ee6129', '418dbf076c78be3b', '2a60b631ffbba8ea']; context = [[10, 60], [4, 76], [5, 56], [57, 120], [99, 163], [33, 83], [27, 75], [45, 119], [14, 82], [19, 76], [2, 73], [59, 115], [64, 135], [59, 110], [24, 97], [16, 64]]; loss = 0.009351 low_pass_filter = 0.300
+Epoch 0: | | 29049/? [5:29:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 29050; scene = ['d7fa9860667bd9b9', 'a55c5825e25b380a', '981ea5a0178ba974', '302ea811b8794cb1', '5567dda0eb061dd7', 'bffe648daccd2234', 'fe263d56b953be62', '6f7fb82bc9ee59c0', 'f6524ab7935064b1', '10ff4d2a82201191', 'fbc9e1286569052f', 'cc2a04f5173a1037', 'd2a160a0c95c5a3c', 'e1923ba07570dd9e', '45253de99a5c8714', 'a0846eb1c9a514af']; context = [[112, 171], [19, 88], [61, 112], [98, 157], [4, 66], [60, 103], [2, 47], [151, 192], [10, 66], [59, 101], [0, 44], [7, 61], [4, 57], [47, 105], [15, 64], [133, 190]]; loss = 0.011554 low_pass_filter = 0.300
+Epoch 0: | | 29059/? [5:29:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 29060; scene = ['8f41ead25c924a25', '4d96975986327fda', '4521b22b9c889195', 'b848a571e61f54b9', '4e00dcdc5aceb7d0', '1f45f564dd4f8847', '284acf34f18ddb91', 'a05e5fa0cbf32e4d', '170fd5c0b4a9f64a', '9eb97841e5239d91', '59c3bfed205e6641', '8385639daed6ad35', '3dd55783dba98a3a', '163767f16a78b79e', '96c9a9e1759d9920', '76ae405bf2de98c2']; context = [[156, 196], [195, 267], [33, 103], [8, 73], [67, 110], [28, 77], [7, 61], [55, 119], [33, 97], [55, 109], [3, 64], [39, 85], [11, 55], [92, 136], [50, 123], [9, 66]]; loss = 0.011051 low_pass_filter = 0.300
+Epoch 0: | | 29069/? [5:30:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 29070; scene = ['d61e3b2e212543be', 'bf50f18b2029dd01', '486987230b46502c', '60d30e9ef97fa03f', 'a5af523ff599e4ee', '5420a244b5ecd182', '3f55836ca56d3143', 'dc5b2ce5c61e556c', 'f0fefc8f4bc3e0b0', '9198140afaeb5614', '070e5e467a513416', '6e80761cf03fafb9', '796ff6ded9b7805e', '0ca076d4e9cce556', '912281b34d2c3a9e', '4e51bd2f1763a84a']; context = [[15, 74], [82, 140], [167, 230], [0, 72], [1, 57], [27, 93], [17, 90], [20, 77], [21, 65], [150, 225], [17, 91], [2, 46], [9, 80], [25, 93], [14, 62], [39, 93]]; loss = 0.012384 low_pass_filter = 0.300
+Epoch 0: | | 29079/? [5:30:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 29080; scene = ['9c8e5fa14604e71f', '4fb5a592fc910ab4', 'c6142db747f2522e', '08b2797d44c46c4b', '48c1000f6da27a64', '388cf64d2f0ceec5', 'bf2680d4d480d914', '629d482dda9a53f2', 'a1919a3be0610041', '5ea49c4330735de6', 'a51342b111729e2b', 'cc5279bd4e79c125', '9d73c0ab69eb6a0f', '826c7e44cbfc5d1a', '7a20ba81fb778529', '33425a4e98c558b4']; context = [[68, 130], [30, 75], [9, 61], [34, 98], [17, 60], [2, 63], [7, 74], [21, 89], [194, 252], [25, 89], [20, 63], [9, 68], [43, 114], [2, 65], [24, 76], [7, 57]]; loss = 0.010390 low_pass_filter = 0.300
+Epoch 0: | | 29089/? [5:30:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 29090; scene = ['f8eb2eb62f9a5d3d', '8e30184e671229e7', '959ae101f67ba6e8', 'b32a1b61716628f3', 'f4173a1a3c8a91bd', '047d14a0b379dd2b', '8f8405a3407168ff', '6b88615a41b8d241', '97f997d61d7e6fc7', 'f051690686b5b142', 'f3c1df5b25d1c59e', '679a64c4eda65773', '95369acfcfef50ff', '6cda38bbc58eee0a', 'c3caff907bac80bf', 'f3ebd453f8541b61']; context = [[25, 83], [18, 61], [24, 77], [4, 67], [23, 72], [61, 116], [27, 75], [7, 52], [45, 103], [45, 106], [3, 56], [28, 83], [48, 122], [68, 109], [70, 126], [75, 139]]; loss = 0.009726 low_pass_filter = 0.300
+Epoch 0: | | 29099/? [5:30:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 29100; scene = ['ec193bda727a0e1b', '54cee7146da8c7ac', '534ddfd7e12e4188', '3f4d6eaf8370ea4c', 'aee572e41e752b1c', '315f491567397c4a', 'd68c8852175c0721', 'ae047d3f44cebf1b', '904d484708497799', '2f182e9cad395982', '0b77cefbc721b1b4', '62939c5723d59295', 'ee4e748066074d37', '6374e51e6160a80c', '3758fa83d2a9fb3e', '9c7b700f9c5cc6c6']; context = [[18, 88], [24, 95], [8, 54], [114, 154], [101, 172], [12, 58], [16, 78], [5, 51], [21, 67], [164, 218], [2, 48], [3, 78], [92, 153], [17, 89], [0, 65], [54, 97]]; loss = 0.013228 low_pass_filter = 0.300
+Epoch 0: | | 29109/? [5:30:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 29110; scene = ['66c2a901f10a14dc', 'a752ffdd0cd196ed', 'ba823bca7db295c1', '9ae8ac94ec73f354', 'b13f6387c59e38a5', '068b869b3861f8fc', '9e299e04b20c3f70', 'ff8115bfa598e4a3', 'bccb2d322b8bd512', 'e2d62f82e625ed88', 'a39c6e8f3d9a2a00', 'a7c1244797fc53ad', '41cf7931d87820c2', '0d17e709818fb499', '1c75685f0307f79d', 'c2ed056e761bd2c4']; context = [[22, 93], [14, 54], [28, 87], [9, 55], [7, 57], [3, 47], [32, 90], [157, 205], [3, 66], [67, 107], [7, 61], [14, 59], [103, 176], [161, 217], [76, 140], [130, 186]]; loss = 0.008819 low_pass_filter = 0.300
+Epoch 0: | | 29119/? [5:30:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 29120; scene = ['9a8f7427a9e8c9c7', 'c540fde60000698b', 'f7c2f06c4ad6d7d6', '289a0ef9678c7c70', 'e2dddc85ca109243', 'e575b075dd0ff624', '0efe197d25725842', '32fa2f64dfaacf21', 'f3f4f9da9acefa67', '706d500bd8966fc8', '4ee78f549f4bddfe', '3bc380de39e58a1a', '75cb48e0b83d8bed', 'd814de9932daf6b5', 'aa2175c8bffe8ad9', '90cd35aca00fdde3']; context = [[47, 87], [187, 240], [79, 147], [155, 226], [130, 186], [5, 46], [91, 148], [99, 164], [0, 65], [19, 68], [0, 74], [23, 70], [4, 51], [14, 71], [227, 272], [133, 177]]; loss = 0.010984 low_pass_filter = 0.300
+Epoch 0: | | 29129/? [5:30:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 29130; scene = ['b15bd877d2642313', 'd6d5baec04f87eeb', '42ffa402b6042d38', '78e0a874f9df94af', '03e5fa9b6ed68049', '7bd046d1c835a96a', '8fcdd5420afc8308', '8cb2738ddb065600', '00b5cecbfd7f9a51', 'bc1b917beb473a62', '11321c28beefd319', 'bb9e7d675cc1900a', 'ac584e6fc77676a4', '50c8a233bd82a613', '2e52528c924eec10', '21c6f59110072ea4']; context = [[28, 94], [14, 55], [104, 179], [56, 96], [16, 62], [188, 236], [98, 173], [25, 72], [30, 75], [7, 57], [8, 56], [0, 40], [1, 64], [6, 74], [1, 47], [127, 191]]; loss = 0.012058 low_pass_filter = 0.300
+Epoch 0: | | 29139/? [5:30:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 29140; scene = ['fb9e93054db6ebbc', '17182e5c481e14f1', 'c9ae81970b7075f0', 'e59c541c3c0cc68c', '8f7ee093c756747f', '1d6ed861c30a6c05', 'c1771c630bca02a9', 'c8da67d9fdccb60c', 'f3b614caf5078792', '2a866103ec3d8348', '4f6bf6243912aa92', '82fb9650578cf923', '8e2be4982c66d479', 'b8411d41299a345d', '253e8f820f98d690', '418164772a373949']; context = [[57, 120], [14, 80], [88, 144], [125, 200], [102, 174], [3, 44], [38, 100], [33, 81], [2, 71], [0, 42], [99, 164], [27, 84], [88, 150], [64, 121], [1, 56], [10, 52]]; loss = 0.009898 low_pass_filter = 0.300
+Epoch 0: | | 29149/? [5:30:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.0train step 29150; scene = ['8b561563ddd202f1', '174ef1693f1e77e5', '1ff312d5bba3c3b0', '0cdbd14b03904a55', 'ba4a4d54677a1849', 'e8c2bbf9edd2bfba', '060cd8515c39af86', 'f837b3f8bb865890', 'f663bcdc00abd784', '5981332b2e570137', '3cef9da1b69766f3', 'cdff087e9caf5003', 'ad3c210c5cdc595f', 'f6f74463bbcbf1c8', 'f75b1a55b42e01fc', '016349b94babf6d4']; context = [[10, 54], [73, 114], [135, 187], [49, 115], [132, 183], [21, 64], [79, 154], [54, 116], [88, 130], [17, 75], [30, 89], [18, 66], [143, 202], [79, 133], [4, 57], [36, 98]]; loss = 0.009883 low_pass_filter = 0.300
+Epoch 0: | | 29159/? [5:31:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 29160; scene = ['76ef43c1ccfc8990', '91520d618743f9f8', 'dcbc43cc4c517240', '5416177602a8847a', '759c51136f224948', '832a01fdf895e5d1', '7f823efe075dd4af', '86e87e068d318730', '86d1884b9379cdae', 'a383474ec46a9ffe', '4e3af11c191aa004', 'ba5274c1495ea772', '537fbc9d624c6a7f', 'f548180c554e2c94', 'e2c8167e5f23e382', '1a9fd6edb8506ad3']; context = [[28, 84], [20, 72], [4, 53], [3, 45], [20, 82], [14, 69], [9, 82], [33, 77], [3, 56], [58, 125], [65, 119], [93, 164], [0, 47], [26, 73], [142, 195], [169, 231]]; loss = 0.012910 low_pass_filter = 0.300
+Epoch 0: | | 29169/? [5:31:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 29170; scene = ['90d558cf6e28e118', '26088dbd45a7aa54', '30c4e4e000f6e116', 'd19836a61f80f65a', 'dff49a02b469a780', '815e194dbbd8df15', 'db7ab4ff7d59a066', '1028b6409fe844a9', 'a40168cbb4106e66', '50df652eed62ded6', 'd40f8c821c094033', '1045f4f8fd6bdd09', '4a0f95a3db913b56', 'a7957a1e2b7ad909', '107fabf0d1dce254', '91722542cd063407']; context = [[65, 112], [48, 96], [211, 278], [43, 104], [6, 56], [61, 118], [19, 68], [2, 46], [20, 86], [113, 161], [7, 51], [6, 74], [106, 154], [58, 130], [44, 94], [6, 76]]; loss = 0.009540 low_pass_filter = 0.300
+Epoch 0: | | 29179/? [5:31:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 29180; scene = ['d0ed7169ce5f630b', 'cfcf204199e65d78', '344f685ed646c404', '9bb9087199582c6c', '1a90aae528bfbf17', 'ac5450ca3161419f', 'bb1830268cfd1c00', '9c970b5fa11788c2', '04e635016d6fa754', 'aab80bfddd3bd792', '932efe07aae19771', 'be5970de1e55802d', '4cd813b3c22aac8c', '7ecbf7f6564ca9c7', '00b9a7963f9bd9c6', '7715cbb97d4c5712']; context = [[16, 70], [0, 43], [4, 61], [32, 90], [68, 111], [0, 58], [59, 114], [113, 160], [4, 66], [33, 104], [0, 48], [38, 105], [46, 86], [69, 129], [166, 208], [16, 87]]; loss = 0.010775 low_pass_filter = 0.300
+Epoch 0: | | 29189/? [5:31:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 29190; scene = ['84e25ecb06005b3d', '97198df954cb373e', 'bfe0901cfb38d2cf', 'f9807395b04502f5', '790bbbeead8c0e0e', '9d2ab37f027652f8', 'd6038e785afd0093', '5e29bcfae9e5fb61', '537580f71422704e', 'e0ea545b60dd789d', 'e2f7704a1bf6ea91', 'f8991aee27bc5030', '17e47187a25b0dd5', '2eac8683626e6565', '8ca93cee3643af00', 'a3af37daf8b5c893']; context = [[21, 87], [108, 181], [4, 58], [21, 62], [55, 106], [5, 45], [3, 70], [19, 87], [51, 119], [7, 78], [105, 164], [104, 165], [0, 49], [6, 61], [3, 74], [10, 82]]; loss = 0.007599 low_pass_filter = 0.300
+Epoch 0: | | 29199/? [5:31:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 29200; scene = ['4a0b4e760a68697a', 'a8ab50f4ebaccbb7', 'b1c0d6884ffdf290', 'fcdcc21f43af696d', '6574856af56d242c', '290a5651c6af5c70', '57ca8429511977e5', '0c199c575b699444', '74c9f05f838fafca', '22f63765570b2ff2', '60e8f97b17c76a05', 'faf41b1ed7b36a7c', 'cba20e571fef9f10', '25cbe86abb5a277c', '1b7de7185dbc301e', '8579c0a3c2ba0b3c']; context = [[21, 73], [171, 228], [135, 186], [2, 44], [5, 60], [4, 61], [14, 67], [0, 63], [5, 71], [2, 51], [11, 82], [16, 69], [36, 84], [33, 103], [141, 198], [122, 174]]; loss = 0.008882 low_pass_filter = 0.300
+Epoch 0: | | 29209/? [5:31:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 29210; scene = ['6ea945ff5fe11e9c', '0aff995aabd4e623', 'c7e94713ef1f1ace', '6dd4b348223c880c', 'f0b0c2b2fa790b94', '5dbc84083496e415', '9bb0448e7cb2f733', '66c3771cf7cb96c2', 'b730ba2045aa78eb', 'a8cef6a851fbea3c', '0cbf1454a4391523', 'f3b24cf238154fc0', '75790c62002de4f2', 'dff181c503e5c202', 'fd4c9fb0fae56ccd', '57760b17957e51bc']; context = [[50, 91], [2, 42], [2, 65], [138, 211], [6, 70], [20, 79], [5, 67], [197, 261], [30, 96], [45, 90], [60, 125], [28, 96], [3, 71], [1, 51], [5, 57], [2, 52]]; loss = 0.010744 low_pass_filter = 0.300
+Epoch 0: | | 29219/? [5:31:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 29220; scene = ['870061830cde2de8', '68f11ba3fbf25d0e', '3dca87c3d61bbe7f', '1a5f05ecf38c8ace', '11ed455a4973e425', 'fe1fd63f87c9b7b6', 'e40460ece726c71f', 'b8ad9c482b18b2bb', '2863dc06a20a18b6', '3f1d36e6cbc994d7', '64318ff73b2572b5', '2072690f45c56622', '9cd1ed50bfed811a', 'f65e3fc655f7b5b2', 'ab14f474323b2014', 'f26009799d9c5d1c']; context = [[54, 122], [0, 56], [24, 65], [17, 62], [64, 130], [148, 212], [28, 84], [2, 62], [5, 59], [71, 138], [8, 60], [64, 136], [0, 60], [4, 71], [0, 65], [15, 71]]; loss = 0.012264 low_pass_filter = 0.300
+Epoch 0: | | 29229/? [5:31:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 29230; scene = ['df756e2bb1999ee7', '674f584b6f09a890', '9012dcef99974756', '8c2bbeac9417065f', '4d5b55c12c0028dd', '2ee23f8203b533b4', 'a1001a4df99e557a', 'f0fb71e87e8675d2', '9d682af42dd7d886', '82173fff18851e0a', '02bb7b7e42bf32cd', 'b5dd1aef60dcc6f3', '1492f66574082e1c', 'e246a9b66ea77e8b', '5f52d6feb72d9fe4', 'c99c1c0e1f41ec12']; context = [[97, 143], [2, 77], [2, 53], [0, 71], [13, 55], [79, 147], [6, 74], [6, 65], [194, 263], [11, 71], [15, 65], [8, 49], [26, 89], [87, 132], [14, 69], [4, 72]]; loss = 0.011172 low_pass_filter = 0.300
+Epoch 0: | | 29239/? [5:31:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 29240; scene = ['6e7024d848c715af', 'a3dcf985957f8e10', '88fdbfa7f91b3410', '4c48f3917eb0968c', '8769f0f6650d769d', '0c2a293c53fc16a5', 'c049ee736ade99e1', '24ed74968bea707d', '10869961ce9a0083', 'cc66d286f13fb193', 'e58bf9d7af3ee289', '530bcd81d8f61dfd', '3722e45b5966fc7f', 'dbfa4a019a577df0', '146f7025acd4ae32', '559d1c71c237ed63']; context = [[2, 49], [65, 125], [18, 90], [6, 59], [8, 56], [11, 60], [107, 168], [15, 59], [138, 180], [1, 50], [10, 73], [87, 150], [23, 78], [173, 240], [7, 60], [94, 162]]; loss = 0.009488 low_pass_filter = 0.300
+Epoch 0: | | 29249/? [5:32:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 29250; scene = ['d86f4e1c0c620319', 'ce60602e5f8d1f23', '5c285053ca7795fe', '243a4e01f4205e85', '78e66d2115d125dc', '94e0102a60f366a4', '22528b0edd33415c', 'a580e463d43489d5', 'f1413d4b0150c873', '6dc7736fbe5fe64c', '4a5a0d1ff56b3465', '4bdef6c0c3e06ae5', 'b75d90c65923526c', '541ae18b8f936d11', '50194a15c7538e1d', 'a017b0cb12cc18ab']; context = [[46, 106], [3, 48], [40, 99], [89, 135], [53, 108], [31, 74], [147, 208], [81, 127], [19, 71], [42, 110], [0, 46], [15, 82], [35, 100], [111, 162], [48, 94], [19, 62]]; loss = 0.011458 low_pass_filter = 0.300
+Epoch 0: | | 29259/? [5:32:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 29260; scene = ['cb8269f4a827fd42', '1456ee4280583260', '0cdc19b76668685d', '300f90dbc5f5caf2', '4d3919cca0eba102', 'fd11dfd85f7ec571', 'ac42ff7b8e4119c3', 'e89a821f4ae317da', 'd0eb13d884ea1dc9', '7b86053e49f7f783', '641609080bcd49b0', '7ad8fd93e67cf7b6', 'cfd49a8723e2f1eb', '3dc16d11b753e652', '38701953a4bda3e8', '25e9ed466c1826e3']; context = [[59, 117], [0, 61], [130, 172], [1, 46], [5, 55], [9, 61], [36, 92], [68, 129], [16, 81], [56, 116], [194, 255], [64, 134], [124, 176], [119, 173], [131, 187], [40, 114]]; loss = 0.009956 low_pass_filter = 0.300
+Epoch 0: | | 29269/? [5:32:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 29270; scene = ['2dfe3293a5a2998a', 'fb3a76eb4854d550', '98590b7649755555', 'cba780f21d82bb4d', '1ca8998e2fa0e976', 'd27be8b2dfd36faf', '5124f62ded6ed532', '4c3de91ec17fcf1d', 'db3a0c396315ffd6', '7c4d7e4101f650a3', '37d046e89ee31955', 'a3f2155143d6c89c', 'de8327202222574b', '6fd2936069711506', '52f9538ae3c50f6f', '7b2c2fbffc77fb62']; context = [[56, 101], [0, 69], [135, 197], [36, 77], [98, 156], [63, 122], [84, 129], [96, 154], [2, 72], [40, 101], [146, 209], [141, 206], [136, 179], [125, 188], [108, 156], [43, 86]]; loss = 0.010824 low_pass_filter = 0.300
+Epoch 0: | | 29279/? [5:32:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 29280; scene = ['0d21809ec3211305', '1823c7e7ff75c1d0', 'ba856f9451354f41', '12a06166db48270d', '9219c0b67e0ea38a', 'e527185e42bfef1c', '3f185e89d01dc9a5', '97a2da18d56a9288', '4163a3d6474b4086', '9dbc40d2811387bb', 'e92288e233122713', 'dab8595201dc5eef', '2989152c23e49a7e', 'b3d32ae703d1207b', 'acc716bb5aa4c2f4', '8b3b0dcb23b418cb']; context = [[42, 93], [67, 116], [119, 179], [129, 180], [20, 66], [19, 71], [37, 107], [59, 134], [54, 124], [192, 259], [76, 138], [47, 116], [38, 102], [4, 56], [0, 47], [1, 65]]; loss = 0.015042 low_pass_filter = 0.300
+Epoch 0: | | 29289/? [5:32:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 29290; scene = ['cdcdc97ba9dfaddf', '56d7b41096c4a0c4', '85719fc0e88eacae', 'f14da18c7df0a2f9', '3e6d1f9e11e3dc9e', '0ff852b74d9a7557', '3a8f60d224cb68aa', 'e2aaaef9c0310d0d', '8751b1164824cffc', '934acea523f11875', 'b5bcbf6a8f08edd1', '459690a341c549db', 'cdb0d98b47396f65', 'fc44ec58e01708cd', 'c2dc42562c814eee', '845acd6a583ba124']; context = [[40, 100], [155, 216], [42, 106], [41, 101], [9, 56], [98, 145], [76, 126], [87, 152], [109, 153], [2, 72], [150, 207], [81, 143], [77, 128], [111, 162], [155, 221], [14, 79]]; loss = 0.009926 low_pass_filter = 0.300
+Epoch 0: | | 29299/? [5:32:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 29300; scene = ['c636ea40772e539f', '33d8c1a4053c0af6', '8a8e389378f42dd7', '33d9c84df6285c81', 'cfbcac10ad390afe', '6a8068f17b4d5d50', '4e071b367480ff56', '22272b57c7a0c6d9', 'd50d8151d95486fd', 'd8994dd6bafa0fa8', '9f70627c899ece10', '31007ddb2fbda4b2', '52ece28e102eedc4', 'd22a411f16fb174b', 'd54159912c53e80b', '4b1bee2132817957']; context = [[5, 55], [130, 191], [46, 114], [144, 194], [68, 130], [4, 75], [5, 80], [14, 87], [42, 94], [11, 56], [0, 41], [74, 143], [99, 155], [32, 107], [119, 159], [133, 178]]; loss = 0.013347 low_pass_filter = 0.300
+Epoch 0: | | 29309/? [5:32:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 29310; scene = ['b937245ac95ab2b0', 'cb7ea96f12ceed00', '4474d194f5b20728', '95317d58734b4c15', 'd4422938cc00c968', '267652292cce84a3', 'd4e5b689bb8bc4a3', '4ec86da6639d7cd7', '2c19ecb25e0249a2', '2cddbe4c2c7ec918', '77a76b5a1223d66d', '246000abdc7aa3c6', '8d4bb7e26db63eb6', 'b164d2a50ad6e406', '41a3354c28ab740a', '7c2d62eae6516d1e']; context = [[10, 62], [12, 55], [138, 190], [75, 140], [59, 109], [45, 105], [38, 105], [7, 82], [19, 81], [3, 49], [26, 89], [3, 57], [3, 55], [26, 87], [2, 61], [150, 200]]; loss = 0.013583 low_pass_filter = 0.300
+Epoch 0: | | 29319/? [5:32:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 29320; scene = ['e4d0ac09522a4366', '50f6be03ef653e15', 'f1569d827ce5bec9', '37273e37a2c3573f', 'de012df6e6222077', '6b49b064dfdce852', '45b17882258efb79', '426956bab78ab4ca', '86d1360e786d5674', '8c08d0f4c0dfc8a6', '7afc07b02ee54c79', 'f4700ebf3f93ccb8', 'ca5692698819b101', '2899818a923e235c', '8ce4f67c5e2efad4', '381071f102290bd9']; context = [[89, 158], [19, 63], [55, 105], [131, 190], [12, 56], [1, 55], [3, 75], [1, 49], [2, 53], [63, 127], [40, 105], [19, 92], [170, 243], [14, 77], [27, 72], [2, 77]]; loss = 0.008487 low_pass_filter = 0.300
+Epoch 0: | | 29329/? [5:33:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 29330; scene = ['e72cb26fba0596df', 'ddfa8d6604f845bb', 'dedd2069b0d6eb9c', '2279dde65e35a5a3', '1d73b17a7d797570', 'e950efbeeb3072af', '411e896fb7efd84b', '5a2613c4e0967be4', '6dfa81c2d493c456', 'ef735d69302f6d6a', '4d4c57cb988de4db', '94fdf9265bb7b48f', '29a2d24653a37bb2', 'edbbab4152cdeb19', '3fb72160a021e835', '30cf7e0c34993183']; context = [[24, 78], [9, 49], [96, 161], [41, 116], [57, 107], [15, 70], [15, 66], [26, 68], [76, 137], [5, 69], [0, 40], [20, 66], [122, 185], [21, 70], [28, 86], [66, 113]]; loss = 0.009897 low_pass_filter = 0.300
+Epoch 0: | | 29339/? [5:33:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 29340; scene = ['204e1d9acc813002', 'e2a26c414b0a6c2f', '8a57ec2b5a935cea', '70d1c55ddcd4a753', 'd199375842a653ec', 'f400159b3dd78ef1', '97f73b3de5c78cc3', '4188d18d531e631d', '78463c78b97d6cdb', '3c98d600041d2bcc', 'c9a73532f0cc200e', 'c998093c16301e1f', '5b3ebcc7978db790', '779e552026166070', '960176f87cb28bcd', '0c0914577ebe7288']; context = [[53, 114], [18, 62], [15, 65], [16, 86], [78, 145], [212, 256], [44, 100], [99, 151], [13, 55], [22, 62], [10, 52], [26, 68], [23, 66], [20, 94], [4, 64], [4, 68]]; loss = 0.008897 low_pass_filter = 0.300
+Epoch 0: | | 29349/? [5:33:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 29350; scene = ['66ae84fb53b12759', '0a94493d6f4cd4be', '7ff21a679944ada7', 'e793aa73b39e0b97', '155655aa88f2adf8', '3d9e16d8ef4fccc8', '1b2bfb2e03827c26', 'aed762fe049b1f86', '2ddb1fe22016273f', '79e12395e84d7f72', '11c8947fe99c636e', '6163957bb7cd2431', 'f7250d685b344afe', 'a5abf69689e9fa5a', '6721a0a0d0714e8a', '852636eaef9d5b80']; context = [[7, 55], [51, 108], [0, 46], [217, 263], [210, 275], [7, 51], [64, 124], [16, 73], [12, 53], [8, 79], [31, 105], [63, 114], [156, 211], [19, 62], [1, 52], [70, 122]]; loss = 0.009587 low_pass_filter = 0.300
+Epoch 0: | | 29359/? [5:33:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 29360; scene = ['34013a94143379b8', '14bbdd46f201f55e', '8b92b2017c49dc3e', 'e30a1e34da77a86a', '4f81fe7e11e4acec', '092cff6ec159f8ad', '9da383f361f3b1b9', '40b24bcf75266082', '552a181ec308df03', '8471bfc93e219d59', 'ebcb03dca5747b8d', '5876f56d0bc87d02', 'b442e46622525cb9', '94f9ffd4073cbe5c', '84efe2a29ea1c8e6', 'f01c8d83aebef602']; context = [[19, 69], [1, 58], [1, 71], [25, 74], [19, 68], [1, 61], [8, 53], [157, 227], [200, 247], [17, 89], [88, 136], [4, 54], [2, 75], [57, 114], [1, 47], [61, 106]]; loss = 0.010104 low_pass_filter = 0.300
+Epoch 0: | | 29369/? [5:33:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 29370; scene = ['42ff234486b7be0e', 'e6a4719fd1a80cd1', '515d3565a5c56e4b', '88bf46314a638234', '72717b03d91ce484', '92f8c501d9501097', '366fdd255113437e', 'dd26ff97b19327bb', 'f4289cfabb77058b', 'd8003945f6e4e9f9', 'd648986fadfaade0', '816abd1b40aa79be', '56ce6ae5fba77cc9', 'f12074e261728ad2', 'c03c06f0d4264269', '036cf5b39576c192']; context = [[21, 85], [4, 51], [5, 80], [195, 259], [7, 53], [119, 159], [31, 92], [1, 50], [32, 73], [140, 214], [17, 69], [55, 113], [0, 75], [19, 67], [3, 71], [9, 64]]; loss = 0.010957 low_pass_filter = 0.300
+Epoch 0: | | 29379/? [5:33:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 29380; scene = ['6348d919467f3d69', 'ecf31039a6857b21', '9070828f04bd470f', 'd28ef587fc9dfdca', '35a7c7d799ec4dd6', 'e60fae07ea2d3f62', '15b941aff6a4a6f0', '7036fdc80e5f08ec', 'f411cde554331f0b', 'e5c078c662b4d5c6', '726abddb5bbed988', '1200cba9d0da287f', '9e20a3413265809c', '3c598fdb2b6d5dda', '87342b7db71046e3', 'eab03fbbc0207b22']; context = [[46, 97], [10, 68], [105, 166], [26, 87], [65, 121], [1, 72], [92, 162], [9, 73], [10, 81], [0, 41], [46, 96], [2, 56], [94, 134], [82, 137], [2, 72], [50, 123]]; loss = 0.010008 low_pass_filter = 0.300
+Epoch 0: | | 29389/? [5:33:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 29390; scene = ['347f6d107e45db7a', 'f9bddcc58a813877', 'bb9246f8d402bf8c', '48650d395590d25d', '596861bc09c3ab48', '7ecbf7f6564ca9c7', '00b9a7963f9bd9c6', '004bd1e952dc1df8', '1c2a8dcc9d0b8893', '7715cbb97d4c5712', 'c43a51e3fc102e73', 'd35e04e60d0199ff', '67bbca5ca2b592f3', '2578864dce7ca95e', '2bc0c1c27ab45ccc', '794460d142973b66']; context = [[7, 52], [18, 66], [26, 96], [15, 90], [86, 130], [36, 81], [3, 55], [115, 166], [74, 125], [2, 63], [34, 88], [30, 84], [16, 72], [3, 54], [7, 59], [12, 56]]; loss = 0.010318 low_pass_filter = 0.300
+Epoch 0: | | 29399/? [5:33:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 29400; scene = ['61f2bd9a20b9278c', '7a2bec1959eead9e', '2e91b67f2ece02be', '142cb821add92aa7', 'e32ddf4210732a55', '4259c6abf4c8c3e2', 'a66aadfbd6edfe93', '673cbe9d1e7a18bf', 'e3a3ab3176518449', '6315df5198cccad4', 'e03c1f0fb97d8883', '1d3ccb58aefb0ad8', 'b3fbb1c074d470cb', '8fe6257e14ab51e3', '1112900e2462a9d6', '92db9837fec770fb']; context = [[8, 66], [10, 82], [9, 70], [17, 77], [57, 99], [93, 161], [20, 75], [13, 82], [100, 174], [5, 48], [35, 80], [42, 104], [145, 194], [4, 65], [23, 85], [6, 65]]; loss = 0.010137 low_pass_filter = 0.300
+Epoch 0: | | 29409/? [5:33:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 29410; scene = ['030e840a3568e0b6', 'dd9171376b4d5f40', 'f18f14afd3c487e3', '95f88ab4932e5ee7', 'fc801406b1f9db3f', '3bb8ca11ff6e54c1', '0400474c688a355b', 'a92ffea4cbb162e4', '062f247f28a18c88', '6432570e1a1c49f6', '697df23e9f5fb6f5', 'a029fa2714aad1b4', 'f5d5cdb2832d4496', 'd41080892de5082d', 'eff8b7d918bbe2cc', 'e3baec3d11a94685']; context = [[30, 98], [121, 187], [9, 71], [34, 87], [76, 119], [33, 102], [28, 69], [5, 52], [1, 46], [20, 68], [49, 96], [16, 78], [20, 79], [11, 72], [34, 78], [4, 75]]; loss = 0.010587 low_pass_filter = 0.300
+Epoch 0: | | 29419/? [5:34:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 29420; scene = ['9cbb340d21814b02', 'b21e80e1fb0edc79', '7f279e25ddd3092a', 'ada0d0dd176ccfb8', 'e8540008e013e465', 'bd7fa99d58b0362b', '8f74fad88033f13b', '736a39818de2100b', '71dd1a7180379d83', 'de9f2fe2fe21691c', '537c4db52b7845f9', '2427ca82cfad894f', 'd8ad0faac7caff87', '4e588d9d58d1ec06', 'e74747cee3562cb8', '5ae12f0ee3f7ad6f']; context = [[84, 142], [206, 264], [45, 101], [12, 80], [5, 56], [24, 81], [90, 141], [12, 60], [25, 68], [59, 113], [126, 174], [32, 79], [5, 66], [38, 86], [2, 69], [11, 76]]; loss = 0.013376 low_pass_filter = 0.300
+Epoch 0: | | 29429/? [5:34:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 29430; scene = ['353ca9b87c6ea74c', '3352e138ccac13f2', '0a9c59b9430a7e2e', '25732504cdff0b15', '30d07a588daa120a', '13e4423e7785869c', '6c3768786d78dafd', '01e9c887205ad869', 'eed4bc1d32a43a87', '02f8df567f0c3db6', 'a3b6faa8d238d993', 'b0fcf620b2286b46', '2b1f47da224557a3', 'f44b9aa76a94a0a3', 'ab0bc4f20f980b5c', '719e2e8912e4eed3']; context = [[36, 92], [6, 63], [4, 52], [27, 77], [40, 111], [3, 76], [9, 82], [0, 41], [10, 75], [74, 118], [51, 93], [24, 80], [12, 64], [11, 76], [4, 53], [0, 67]]; loss = 0.009041 low_pass_filter = 0.300
+Epoch 0: | | 29439/? [5:34:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 29440; scene = ['a85c79f15c396d71', '693190c152351f08', 'a07b32e9ad5d60da', 'dcf82fd223904b2e', 'c252cb8d56b7bf61', '729dceebf490e657', '4ec6d566d994aaa1', '363fd96c8b649a5b', 'a4e81cb1ef33e750', 'e5ae5d0cde455edf', '24052f7618e5b23e', '76117833d0b00459', '0b27508d9113b492', 'f1f2ab311bf11cce', '73918a89fd11ca1e', '6bacd75a12a4a79c']; context = [[8, 79], [3, 71], [69, 141], [44, 92], [149, 223], [207, 265], [6, 60], [5, 65], [28, 76], [205, 276], [95, 150], [0, 41], [1, 53], [134, 186], [8, 70], [63, 133]]; loss = 0.010161 low_pass_filter = 0.300
+Epoch 0: | | 29449/? [5:34:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 29450; scene = ['9f3e123c0a215292', 'd79f8de02a32cc1c', '781216e5faefd183', '8331a772dd2af270', '11a3dd1e7dbfff9e', '674f97fbd51d9549', '91e8bd693b1e76f5', '7529ef84b12cd05c', 'b1f32a7b0a8e25ce', 'b6509b872612bbbe', '504b67ca30edd1db', 'deb61a82ce6f4cff', 'f5a3eca31fcdabf8', 'a8afd0ccef504316', 'dea4dc2d8a2935cf', '83149280823506aa']; context = [[74, 121], [79, 127], [110, 167], [33, 73], [2, 44], [34, 79], [26, 97], [128, 188], [14, 85], [111, 155], [14, 83], [16, 60], [14, 75], [74, 147], [74, 114], [33, 99]]; loss = 0.008516 low_pass_filter = 0.300
+Epoch 0: | | 29459/? [5:34:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 29460; scene = ['0935c25ded763eb1', '05c29d863074fdef', 'c6e306b85165a748', '40965c5a956f5125', '3830efaeaf900afd', 'fa83934d7b66b475', '65bfa207128b0f4c', '2504fcc45f7737dd', '96d49f97fbf3c97f', 'dc87934d7f34745e', 'f6240fed8b5ff570', 'ebefd3d3a8cdee66', 'b9ec2a6854380d1e', 'ff0c0d8c4fba54e0', 'd63e656427d56186', '48484bc80ab3887e']; context = [[23, 74], [1, 74], [160, 234], [1, 55], [10, 66], [82, 133], [32, 79], [185, 254], [11, 53], [6, 56], [0, 59], [13, 74], [8, 80], [22, 95], [203, 268], [21, 77]]; loss = 0.009869 low_pass_filter = 0.300
+Epoch 0: | | 29469/? [5:34:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 29470; scene = ['04c4eef824be2a53', '4f456caaf8e278eb', '4b0a68d37406a651', 'a2e2c2e66db9a05c', 'a0bb40d77cf75dfd', '4e90b5a00ca1a323', '8a851c87576299ca', 'cb656e90448e660e', '19a215bdcf369356', '2c305d098029d4c6', 'a530f041f0c9a958', '03ec93b385b7c560', 'fa7e7926abc78907', '53f305d17c2410a8', '9ca24075d4c2d88b', '3718696ac560ea92']; context = [[3, 44], [12, 64], [32, 107], [1, 44], [38, 102], [17, 86], [18, 81], [2, 57], [32, 83], [33, 96], [155, 226], [160, 216], [132, 194], [5, 65], [18, 81], [1, 54]]; loss = 0.009849 low_pass_filter = 0.300
+Epoch 0: | | 29479/? [5:34:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 29480; scene = ['c8e2204b0fe7b68b', 'a0f72cf44dc5854a', '33ed58f9ad7d3603', '070e5e467a513416', '5420a244b5ecd182', '3f55836ca56d3143', 'd61e3b2e212543be', 'f0fefc8f4bc3e0b0', 'dc5b2ce5c61e556c', 'bf50f18b2029dd01', '486987230b46502c', '60d30e9ef97fa03f', '6e80761cf03fafb9', 'a5af523ff599e4ee', '9198140afaeb5614', '37b593ab757771b6']; context = [[4, 48], [23, 74], [51, 114], [20, 92], [67, 110], [87, 130], [29, 79], [12, 55], [69, 125], [152, 211], [69, 113], [2, 47], [3, 46], [18, 63], [155, 219], [15, 57]]; loss = 0.010470 low_pass_filter = 0.300
+Epoch 0: | | 29489/? [5:34:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 29490; scene = ['127f81e3100df692', 'd41e59ee023e977b', 'fbb0d0e819f6ffdb', '5d912006291585c5', '6a88748e95763304', '2c8e763f0db800a0', '5383d0771e18156f', 'd1d323471a705a5a', 'da045bbb617325b9', '4ec11705076176ff', '6ca5fd3806df41b0', 'd74fca4960802032', 'adba70f5a653e33a', '57b11cc22a3ede53', '7bc02ca58f80e36e', '32ba23c09bfa8635']; context = [[1, 53], [23, 67], [27, 96], [15, 62], [53, 99], [32, 82], [66, 120], [38, 83], [10, 78], [52, 121], [188, 233], [13, 89], [12, 81], [56, 120], [226, 276], [13, 72]]; loss = 0.009593 low_pass_filter = 0.300
+Epoch 0: | | 29499/? [5:34:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 29500; scene = ['de33a86974a575b8', '53078019d1b8b4af', '470dc27c2123d25a', '13c7f39126781299', 'a5de97e3a325e6e0', 'cc61a2c282667716', 'b56e5327da27836b', 'af9f9ef0469ba964', '04740510b6d96720', '71843154fd778989', '792c3b369bcd98f6', '7d81b28b7afe5738', '6e024fbe00be60cb', '591324b1a786d91e', '8f243526414052a6', '2765f5d2bd45f599']; context = [[46, 97], [24, 64], [9, 74], [4, 66], [23, 81], [11, 70], [72, 123], [0, 46], [25, 71], [0, 45], [10, 74], [73, 123], [103, 147], [7, 61], [28, 92], [33, 86]]; loss = 0.007331 low_pass_filter = 0.300
+Epoch 0: | | 29509/? [5:35:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 29510; scene = ['7cf11ea55f0fa5f2', 'abd87f1b5936bb26', '9bdf01f7f007a388', '30be17507c872508', 'ef1f21f2fd22d7ca', '6f8dd2aaf516843b', '6ed7035ece6b581d', 'f0fbc2d05c030b1f', '33152d559f58f283', '057aed77be9938e5', '84b82a9506bd8483', 'c86dbf4a14acee88', 'c98a8f34da829645', 'c15bde67c4d28f80', 'e33f75937740f4bd', 'd782aeed17560ed2']; context = [[24, 66], [4, 53], [15, 64], [12, 79], [38, 110], [13, 65], [44, 112], [11, 83], [24, 97], [35, 76], [65, 129], [62, 118], [0, 46], [18, 58], [2, 43], [39, 105]]; loss = 0.009870 low_pass_filter = 0.300
+Epoch 0: | | 29519/? [5:35:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 29520; scene = ['6186b4ba6e4b8000', 'b1d62a9da799a54b', '67985c404f000727', '4068f00bd881cddd', 'ddd2fd3db0b2197c', 'bedb0dffc6d80b4e', '12d54b02fe9d16e1', '15bdffd46ed3c134', 'f896f057f530ebce', '1f4ff72d26fbd071', 'd3b0bdaf452577d0', 'c472a0ece0937100', 'c2e363674f808d28', '568246aa43b60985', '62aee613a1a82b79', '6bb7559f2431738e']; context = [[28, 81], [52, 114], [67, 113], [129, 171], [0, 75], [47, 98], [36, 87], [2, 71], [124, 188], [91, 166], [23, 91], [1, 57], [39, 113], [2, 64], [178, 254], [0, 40]]; loss = 0.011435 low_pass_filter = 0.300
+Epoch 0: | | 29529/? [5:35:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 29530; scene = ['deccf4ba5d1bc19d', '5a62e1bb60e358b3', '976c8a707ce214d1', '643e9d9430dd1649', '7cb26f5ca9def3e7', 'ab6240176622f001', 'fab8935910e8b3f7', '8a40913885bb9c45', '78c4c1ec818e5a56', 'b97d8378949ed0b7', '38366abfb0f92890', '9266579d30f7b588', '335068a6ec7f576e', '9f99a95604c4986f', '0bd7d1356643cb9e', '062fa8871944a658']; context = [[39, 109], [15, 83], [14, 77], [10, 60], [10, 76], [39, 85], [32, 88], [39, 86], [12, 63], [5, 79], [1, 76], [185, 257], [66, 109], [128, 184], [51, 102], [1, 49]]; loss = 0.010242 low_pass_filter = 0.300
+Epoch 0: | | 29539/? [5:35:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 29540; scene = ['6dd3679736281d03', 'f64ddc18d41f78fd', '179f1e8a0274c457', 'b06cd5e3d43abf81', 'aff92e6d911876cf', '6b08d0b79ed7f4f6', 'a2811cc9b3a2b453', '64494ce8ea7f70aa', '1340a3f9260ae1c0', '75b728c7db097374', '4fa10434179e4202', 'ed0da0b777821594', '7dd41fbfa1d8a243', '2fd3ab94f4b959fe', '81b1cf9c807d6c46', '799c026348a3a133']; context = [[3, 72], [5, 77], [4, 56], [3, 60], [74, 141], [14, 61], [12, 55], [2, 58], [35, 98], [83, 131], [9, 82], [34, 100], [83, 126], [57, 125], [0, 60], [10, 61]]; loss = 0.009317 low_pass_filter = 0.300
+Epoch 0: | | 29549/? [5:35:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 29550; scene = ['82eea335b00f5e72', 'ad09be69e08a8e3e', 'ef3a08eada7659fa', 'a6e476731dc84ba1', 'f8543f36c4a0962b', '43b0af4992345e28', '257ec8864836da51', 'e1654625696cb3b3', '4e64a4ac8b752f34', 'f84a8896b1ba14b8', 'aff84ce3f9bcc647', 'fdcc00c4d8310e3a', '65161bf7ed37ed8f', '7b6faaa7ddad5853', '16ba79e95f3f36fb', 'cee058b0da530229']; context = [[12, 64], [159, 221], [22, 69], [33, 104], [121, 182], [5, 63], [91, 161], [64, 120], [199, 248], [1, 45], [41, 102], [105, 149], [28, 81], [71, 145], [2, 46], [23, 78]]; loss = 0.011090 low_pass_filter = 0.300
+Epoch 0: | | 29559/? [5:35:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 29560; scene = ['c0dd9c8487fa0e5d', '8aa9c11288e2f7be', '415660809150f2f3', 'ee4076dd13067fba', '16c62242966d54c1', 'ba4f582833218065', 'a3c52e17a3569170', '98063301fa1a5439', 'c38e7f8504f1a608', 'c0b39f7150688ac6', '9f58f065a6a85be2', '1d96d42281a14794', '13bce166ec03bc3e', '6399c5f8ea11e725', '23390a01eb41a799', '3df3b8e8df43de20']; context = [[34, 103], [204, 267], [48, 107], [0, 49], [6, 48], [39, 101], [3, 71], [1, 67], [162, 234], [40, 86], [68, 110], [211, 265], [132, 194], [37, 106], [65, 108], [85, 139]]; loss = 0.009705 low_pass_filter = 0.300
+Epoch 0: | | 29569/? [5:35:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 29570; scene = ['4ec72717091e92c7', '91863ff844766c12', '7064d345b6372da0', '41eca61ee7abdbf1', '4b6f368238db6ba0', '9c4ed2cd8353b8c7', '067c03a150a6535d', '0b3f29e16000d254', '8ee32af7b707a377', '334683227f0e3f59', '11f58bb45f6b246a', '1f0a743ea04c1022', 'a64864550f5058bf', 'b8709511255b1c76', 'c3fa95ae16106a95', 'e5cd29987417f050']; context = [[131, 185], [3, 77], [0, 43], [89, 142], [5, 49], [64, 132], [19, 91], [19, 63], [9, 67], [66, 128], [2, 44], [12, 60], [29, 87], [7, 72], [51, 116], [150, 219]]; loss = 0.008363 low_pass_filter = 0.300
+Epoch 0: | | 29579/? [5:35:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 29580; scene = ['6eb3006004ae5683', '623703e844f4187a', '3afecd065021c4c0', '05aab341d9f7cd51', '09895c510108d81f', 'c5588bc0268e5c81', '1d2c9ffecd057d36', '312cd12b9be29819', 'e6028373d0388cea', 'ed9391a68fe3d44e', '16a3dad8315912bb', '2c6974c8d0fd6426', '09987dcb90444a8f', 'ee1dd370404cf055', '50a15bac1be12d21', 'e7ec28035f8bde77']; context = [[60, 116], [40, 87], [1, 43], [13, 69], [8, 81], [22, 83], [11, 58], [20, 87], [52, 106], [19, 66], [2, 42], [6, 75], [134, 182], [143, 186], [5, 59], [101, 170]]; loss = 0.011479 low_pass_filter = 0.300
+Epoch 0: | | 29589/? [5:35:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 29590; scene = ['e54d2bab1d8c3eb7', '3e983363b5c730f2', '511a709b7ffba3bf', 'bb899c81713bdb22', '96a6ec4c056744f6', 'bf2160e6311b9f9f', '3de78a7d8061257e', 'f7c60ce5a286c245', '2e791e46ea69f1e9', '1c8a1e8e21e118d4', '0754475e197e45c4', '08b93081fdc7e4a8', 'd3591aba84464e08', '58563fe41bd85e10', '07d5b90cb76f75b9', 'c7f0f87a38472823']; context = [[138, 181], [174, 217], [43, 84], [33, 96], [110, 172], [8, 81], [3, 54], [7, 50], [36, 81], [11, 85], [41, 117], [173, 242], [10, 53], [220, 260], [34, 76], [3, 79]]; loss = 0.010642 low_pass_filter = 0.300
+Epoch 0: | | 29599/? [5:36:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 29600; scene = ['77a02b538ebb0699', '4efb43e30a0a1524', 'd5f98d1fd6466c76', 'a7282d85361a1014', 'd510e85f25390e95', '865335fdf2acdc53', 'a2e544fa5a104bbd', '3392e48d1d6b9d8e', 'd43365e35b81ceb0', '7c8e2c32f609e60b', '4394103a63b98852', 'a78dbcf13b6c3b5b', '36701189dc5f94ef', '48fea7f3a73f0298', '9fe3994743e46ce7', '45fd83f6c3984135']; context = [[47, 121], [57, 113], [0, 72], [13, 82], [16, 64], [18, 60], [0, 46], [65, 135], [13, 73], [48, 100], [3, 57], [66, 129], [17, 79], [1, 57], [75, 150], [110, 154]]; loss = 0.010778 low_pass_filter = 0.300
+Epoch 0: | | 29609/? [5:36:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 29610; scene = ['47270cf271f4bc21', '739ef085c903ce89', 'b7b1cd2faf6e319e', '505e0224856fbf92', 'fa5f7cd2c0c956ec', '34abff96d0f4e4eb', '9c7e77f396af4a7d', '156a99bdda94ab15', '9182eb6535116035', 'a4e1c1a1fd21c031', '7944997c5cc8d4a3', 'c72e5c5b93465fd9', 'd9d387021859984c', '07d45f8aec3ef9d0', '10a912a578eab6eb', '6c588b310610da28']; context = [[21, 76], [89, 154], [8, 68], [12, 76], [30, 100], [8, 82], [33, 97], [4, 53], [32, 74], [40, 104], [8, 51], [148, 213], [48, 98], [44, 117], [91, 159], [26, 87]]; loss = 0.010650 low_pass_filter = 0.300
+Epoch 0: | | 29619/? [5:36:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 29620; scene = ['5ddfa89cd16d9f2d', '68842b6d271df7d4', '27a9b26dd1400ea7', 'e1ef6aed4b57bf08', '1a7bfa27113fa19e', 'c6fb7d0d9e21a6c5', 'c08079d5edf74f3c', '8854b4da58a5000d', '891fe4fa21d022a2', 'c338b5625ab72dde', 'c5c0ca1ed57d6f0d', '08f243f58cbe5d22', 'e9554c14b787529e', 'ff66bd5382658cec', '9af2ad7f7fe8589d', '270644731647fb92']; context = [[95, 155], [39, 92], [46, 105], [67, 116], [96, 155], [86, 161], [37, 99], [7, 75], [30, 70], [90, 153], [21, 88], [102, 165], [37, 94], [49, 104], [5, 47], [106, 148]]; loss = 0.009384 low_pass_filter = 0.300
+Epoch 0: | | 29629/? [5:36:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 29630; scene = ['bcffeca308e9651c', '830e472fdd20b6df', '55f2830fc736529d', 'ded38d3ae876e8dc', '861453c483faf282', 'b4c2e12ad3d75efd', '9005d1006b63b2ab', '0a1aa875aca3711d', '8868de3626699c63', 'aa416065dac5210f', '02819374b5398ef1', 'c7fa7cba2aa2da8e', 'f8f9eaec8ab860f7', '15b8f7652036db12', 'fe6b9b80b0e6a8d6', 'd02327b51b3bad30']; context = [[0, 70], [33, 77], [7, 64], [2, 42], [103, 174], [4, 47], [75, 147], [1, 42], [1, 52], [4, 49], [46, 108], [2, 56], [22, 71], [7, 60], [12, 74], [24, 68]]; loss = 0.010841 low_pass_filter = 0.300
+Epoch 0: | | 29639/? [5:36:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 29640; scene = ['716b0452489bc0ed', 'd4203bd6aaa103bb', '397238dc9e81dd73', 'aff25f0e55fb90c0', '940c97739607f0f5', 'f99d96f91f145e15', '6348514daf33d801', 'd1ed6469def17181', '15a1084d025522ce', '9d0585ff11d30bad', '0229f60ec409f031', '0d584ee47b1581b3', '165dee80c83d99d8', '6ba0ee10f98864e3', 'ba76b759b2227043', 'dc49dc3addb7cae7']; context = [[25, 100], [19, 76], [33, 103], [9, 51], [81, 129], [10, 74], [9, 57], [3, 51], [3, 55], [47, 88], [41, 106], [7, 63], [3, 43], [31, 81], [67, 131], [12, 57]]; loss = 0.009147 low_pass_filter = 0.300
+Epoch 0: | | 29649/? [5:36:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 29650; scene = ['76fb9550ad54d54f', '06e44b2d2a485af6', '9c4156a954e9b35e', 'dd16b7363e558119', '08c3797bcc0cd877', 'aa2d001cd7abbde8', '57431541b1a92a38', 'f128f0ff23b870a1', 'cae1cf64527a0ee0', 'ff14df34b44752e5', 'fcf4a08c1185110e', '1dcecfb91ab92796', '4f89397e0e0bb483', 'd70925635aa5861b', '4894ab3cd1054344', 'c91b2a4cab7956e6']; context = [[5, 51], [27, 87], [80, 145], [192, 256], [40, 84], [40, 102], [4, 50], [48, 96], [22, 68], [11, 61], [53, 113], [62, 103], [83, 154], [1, 49], [107, 147], [3, 60]]; loss = 0.010275 low_pass_filter = 0.300
+Epoch 0: | | 29659/? [5:36:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 29660; scene = ['f5802f62bde9dc37', '24d06a668d2c19a3', '11f7a2991ed95c71', 'ba3e9afca036217c', 'a079d54e5e92105e', 'a0bb4a665ee9fd46', 'c9e4480bbfb4e0db', 'cc155e5c5b49b6f8', '3c6f08385f14dcef', 'b567b028a8f5866a', '863150365b96d490', '64b678d5084f9868', '43b7abf89a494856', '1ff9ce1364d2efb1', 'a9a48de4023eeb04', 'ced2fa332f79e8d7']; context = [[6, 73], [10, 63], [61, 101], [9, 82], [40, 92], [15, 69], [32, 90], [36, 102], [66, 130], [10, 73], [32, 85], [1, 42], [157, 228], [15, 59], [13, 89], [43, 87]]; loss = 0.010119 low_pass_filter = 0.300
+Epoch 0: | | 29669/? [5:36:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 29670; scene = ['1a5cd254714d47a6', '76f03f41f591d31d', 'f55fb3b30b920fc3', '9968065bf8012a1d', 'b790206a852507f5', 'a2b025627d179842', '8fbfac2158a025c4', 'cc34866a3da9fe2a', '3e82f9fbbfe76afc', '5790f3223cba0631', '3db04094ed108067', 'e77d1067701c05f7', 'f7933b7f0b1b4d8e', '45617cfadeea621e', '431fd85eeee086ee', '6b2d9a2c36445976']; context = [[8, 49], [120, 166], [19, 70], [50, 99], [7, 62], [13, 70], [9, 65], [0, 74], [21, 62], [10, 58], [114, 188], [22, 78], [1, 61], [0, 67], [223, 268], [14, 62]]; loss = 0.010003 low_pass_filter = 0.300
+Epoch 0: | | 29679/? [5:36:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 29680; scene = ['357632990cc0f792', 'ef54866ee11f3890', 'c718b29875d6057c', 'ebbb776f5c426ae2', 'c2893d4152103f88', '46a99cf9d8defcda', 'dbe8fb4a958ea306', 'caf7c83470c7f539', 'a5c5d22eb6353af4', '624baa6ea21a2be9', '2aaf84176521c42f', 'c92d3baa79f78d32', '51f33cc6d9666bb2', '95c06eb39cbc2f89', 'f792272e396d1964', 'eb09cd7e9ffbe950']; context = [[6, 59], [18, 63], [174, 238], [26, 101], [77, 131], [84, 139], [85, 151], [25, 94], [179, 221], [91, 158], [93, 141], [16, 67], [8, 59], [7, 64], [21, 90], [59, 107]]; loss = 0.013455 low_pass_filter = 0.300
+Epoch 0: | | 29689/? [5:37:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 29690; scene = ['4c212add50c782fc', '6306786de63f1537', 'ba7c5eded1b76b25', '5427c242a29c1060', '1c3010c2c0cd711a', '8438b810e7c30689', '17c771028b71dd80', 'c745ed02d695fe65', '826f9c6fa7a3308b', '9952836698ab487a', 'c8e5699ffc5f3b3b', 'a5fd81e45eaea47d', 'ff6ac8d2fdd0b884', 'c26c2e3257c2d464', 'c51d0c23240a5ad8', 'a3c9ffcea941f481']; context = [[69, 141], [4, 76], [13, 83], [180, 231], [84, 124], [21, 75], [41, 100], [44, 119], [20, 60], [3, 77], [47, 118], [50, 92], [96, 155], [54, 100], [140, 193], [60, 111]]; loss = 0.010516 low_pass_filter = 0.300
+Epoch 0: | | 29699/? [5:37:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 29700; scene = ['2890aa482291c113', 'd18eaa6a82142d00', '26893e8faa27ad77', 'f1ce31f915df235c', '57208c486011b4fa', 'f9eb8c2d022ce6e9', 'c32dd4434795899d', '63db3bbef4dd3361', '6d6584316ab2f275', '631c3172963b11b7', '4b2b029342dadc34', '1c1f9522b35b043b', 'ea2f6ee9bdc6bddc', '3c9d47fc8d341a60', 'd3d18ffce48db33a', '21d7dc078fd4db7b']; context = [[60, 128], [24, 69], [3, 53], [0, 56], [1, 45], [1, 59], [89, 143], [9, 63], [4, 44], [4, 58], [117, 158], [20, 70], [1, 49], [13, 77], [32, 108], [30, 81]]; loss = 0.010139 low_pass_filter = 0.300
+Epoch 0: | | 29709/? [5:37:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 29710; scene = ['959f1359e772c180', '5d7b26275b9bcfaa', 'd4e12bcf9891030f', '694c3e22993c93ce', '14da8693f9a9c525', '1549c79479f866a4', '472c849ac7e496ed', '0e0ee14ebe357bd3', '7b926542fc32c523', '83e6990375012c01', 'b61c891c19c16e0b', '25c9f4c4b7f11345', '6ea1630d2788ae9c', 'e81b4ccfef500ad7', 'd729f23a3f21f212', '3bc2c74792b9cbd6']; context = [[10, 80], [101, 149], [55, 122], [15, 88], [21, 74], [0, 41], [10, 62], [48, 88], [35, 93], [49, 111], [3, 50], [4, 53], [24, 65], [3, 48], [7, 48], [5, 66]]; loss = 0.009130 low_pass_filter = 0.300
+Epoch 0: | | 29719/? [5:37:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 29720; scene = ['473b916dad00fc45', 'e952c4a90e3e9b1a', '0c262b6bc566b453', '5f599b35b87b30ab', 'f3663bd0444d3f5e', '3dcc869dac9f202f', 'd6625cb538e7f064', '41c2363d43d3d712', 'd79a09f5a0487ad2', '4787f5b4b5402ca8', '1220a49e5babaacd', '96f6c82c9c693df4', 'ead979aa76eaa492', 'e9a1cdca9abf71b2', '3c136b7d09306029', 'da54e4571a2f4637']; context = [[143, 219], [57, 116], [53, 118], [2, 76], [15, 75], [62, 136], [7, 54], [7, 81], [87, 143], [1, 41], [15, 69], [195, 271], [40, 107], [29, 87], [9, 59], [173, 232]]; loss = 0.012732 low_pass_filter = 0.300
+Epoch 0: | | 29729/? [5:37:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 29730; scene = ['91245106e17ab7d8', '02117ff3b3d4530b', 'a8c50decb758680d', 'cd9a2a66101702dd', 'bdb3cfd2caf40d2c', 'b7edd79abf6abf18', '8fc6704ed8465c3f', 'e60114b10c6a70e5', '2e3b7c0955984c0b', 'ee09ae34a0720fac', '404cc5a0fd0a2131', '68770b0db8ad1d3b', '80773003e0a7eac2', '4697c4de453f4c04', 'f8186b350aaa2775', 'bce3c137c2effa16']; context = [[7, 61], [9, 58], [19, 82], [126, 169], [59, 110], [1, 48], [41, 84], [99, 162], [50, 124], [46, 106], [7, 57], [35, 87], [117, 157], [52, 100], [21, 97], [12, 58]]; loss = 0.009651 low_pass_filter = 0.300
+Epoch 0: | | 29739/? [5:37:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 29740; scene = ['79498fcd587e86e2', 'ba1e4de5c9e38f86', '279c176b2a4091b8', '733480741047ec53', '411c0976614202ad', '838b5149ad3eeb17', 'e7488536a76776fc', 'ee0d5c09f39c05ab', 'ae13f514aa006405', 'f4caf7185c45770e', 'ea7114098f5d77f4', 'ab95f797d73c50d5', 'aee321e88081eb14', '52bdc8c419fcfd68', 'd49e41d133d0b08a', 'b2a5a5d457aac9e0']; context = [[93, 163], [46, 112], [40, 94], [5, 53], [28, 71], [2, 56], [1, 74], [0, 52], [126, 183], [29, 92], [17, 67], [4, 72], [21, 67], [6, 67], [102, 159], [187, 243]]; loss = 0.009357 low_pass_filter = 0.300
+Epoch 0: | | 29749/? [5:37:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 29750; scene = ['d8445efc40a8fca8', 'ab4b384f7cb7f24b', 'e02e87df15575cae', '53f494ba124765ae', '0e993fce1ec5e3b0', '28c6e30097e8726a', 'c907383e19bd6b5b', 'f307d40c2056a111', '2de0cff7a63a8cce', '7a9685caea3ebaa7', '4138ec075d5e0fa8', 'a1bdb4b46cefa590', '188b99642275e964', 'ce7a77654ed24cb3', 'ec84ce0719717d39', '46d0af2861fcfbe0']; context = [[4, 59], [19, 64], [17, 64], [13, 69], [13, 59], [4, 77], [12, 57], [11, 64], [0, 53], [15, 57], [63, 133], [41, 105], [3, 71], [46, 121], [86, 147], [13, 72]]; loss = 0.009832 low_pass_filter = 0.300
+Epoch 0: | | 29759/? [5:37:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 29760; scene = ['51e99330cbe8b36a', '95cd0bad15de18a9', '9a2d4c60e9585ed7', '04de1a4925ce16a7', 'aa801c6cfb72fdf8', '2c3bc0c318fa3771', 'ea2343e4a390441b', 'ff4fb430b2108b32', 'cb3bac70297d52c0', '9c086d61e7ef8fb3', '2297175d2417198a', '698598a706fa1d4c', 'ccf979a89967562e', '356d8879ab6bcfb2', '44b340e3529d5406', '7f3c4cd002ffbf71']; context = [[0, 65], [71, 116], [129, 191], [60, 130], [0, 46], [2, 70], [11, 70], [28, 97], [124, 196], [2, 62], [34, 81], [218, 271], [4, 50], [18, 68], [20, 61], [99, 159]]; loss = 0.012999 low_pass_filter = 0.300
+Epoch 0: | | 29769/? [5:37:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 29770; scene = ['555f1845dcb38293', '6f82fc8f2c6cf936', '83d154863471b87c', '746a2e815cddd8ab', '769783c83e98144d', 'a06c5145c9419ec7', 'c133fe1ba03631b8', 'e07365117a8b4c36', '6c63e747c6ccac2e', 'c643352d8ccc08d5', '13afba22192e2919', '1164844756dd90a7', '15c9a1e812246b15', '883cb5e4ab95ebe6', '42a118392a6d7d4f', 'ee605ae319bbb3e7']; context = [[27, 100], [44, 93], [6, 78], [125, 181], [15, 59], [75, 135], [62, 127], [51, 93], [42, 88], [189, 230], [32, 98], [145, 201], [25, 86], [0, 40], [7, 52], [26, 70]]; loss = 0.010344 low_pass_filter = 0.300
+Epoch 0: | | 29779/? [5:38:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 29780; scene = ['52039b2a260ada3b', '9a5c2d57d37507c8', '4af7dec0791abc1b', '4f049727be4632a1', '3bfd64c3fad672d6', 'd6ef451e7daf67d7', 'bc27ff6ce76243da', 'bd61fccd488024e7', '37be8109577b927d', '99fbde3ad90233bc', '9e41975990090f8f', '4596493f1773dba3', '8823e8d69657f66f', 'faa70f7f35d029f7', '5517b6c42dc7d179', 'c1baf235b1b56247']; context = [[154, 227], [7, 77], [43, 108], [17, 90], [11, 67], [146, 187], [81, 127], [8, 63], [60, 103], [63, 129], [101, 145], [12, 67], [6, 63], [18, 60], [122, 173], [105, 159]]; loss = 0.009467 low_pass_filter = 0.300
+Epoch 0: | | 29789/? [5:38:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 29790; scene = ['3d229b1736c3da03', '9ec82e69c998338c', '03cdf56cecafe4b4', '4258414b5b835ff0', '346f452e9dd837f4', '92f242cbb25131a6', '000d2139ad05dc85', 'b489a5e69f2103d9', 'c4739a6b632f2588', '0dd1d031a21641ab', 'e2ba8a4cbe366a30', 'd602f5daed73334f', 'fc2ad2a73c24bb7f', '46f261198c91d5d5', '7d499b35c809b2f3', '80c93f2de4900d46']; context = [[3, 56], [30, 76], [57, 125], [47, 90], [28, 92], [0, 43], [17, 66], [5, 64], [110, 185], [18, 94], [26, 66], [32, 98], [107, 167], [67, 112], [36, 84], [1, 43]]; loss = 0.011716 low_pass_filter = 0.300
+Epoch 0: | | 29799/? [5:38:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 29800; scene = ['c9369bba1b6bf33a', '1eb7654c68d43f2a', '51216ee3a8c41701', 'c7913fcae40aeed5', '3eb2a8c2dd9f7d25', '0ce0280408216d05', '42000d5a83b48ee4', 'a0b45bab75d35ee0', '625e3aa0ff734714', 'b1de49fea231bb59', 'd2dd3b46d9903314', '2bfb1fdeb47c139d', 'f92964360d184d99', 'bd99ad1d47bb9005', '04b859d3d26366de', 'f4b06ed6e137cd5d']; context = [[85, 144], [14, 88], [56, 115], [11, 54], [44, 88], [30, 100], [1, 71], [7, 68], [8, 83], [27, 102], [96, 145], [38, 112], [1, 41], [12, 60], [0, 63], [93, 151]]; loss = 0.010188 low_pass_filter = 0.300
+Epoch 0: | | 29809/? [5:38:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 29810; scene = ['14267b4877f2bba2', '92cf14163fe6b2ba', 'e6927e3ec3898166', '6e2a3910091fd84f', '9e912cd1f7d18579', '96eefde05abe8721', '24666b018cafaaa9', '1a27a41d548cb8d5', '2a2885f3acb57e98', '0a1c6a4cd53b9fff', '9525a072309439fa', 'd12ccb9176baca06', 'de36333a5c68eb32', '98f7a067bbb96008', '807a812350f25893', 'd7f2d82f83e70693']; context = [[23, 71], [18, 88], [8, 79], [129, 196], [0, 66], [107, 171], [35, 103], [26, 95], [54, 113], [7, 49], [59, 120], [14, 66], [3, 65], [3, 63], [38, 113], [10, 61]]; loss = 0.009769 low_pass_filter = 0.300
+Epoch 0: | | 29819/? [5:38:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 29820; scene = ['9f5b27821287f77e', 'f5d145d13f999e17', '002a58afaeaf24c9', 'b4ce98b34258cf50', '01f0793599666c23', '2ffb2a302c2eb8bc', 'ce72dd0a8a955b6b', '2b7009b7846c67e5', 'bb2f78e9c66d752e', '35fe38c771b332bd', '506c7067b8d54db9', 'b6f25dc2b753e432', '668193bde2b21db4', 'd10e440ff0a99a23', '4f2bfe280d413022', '4fe12b24324c7c47']; context = [[21, 71], [46, 105], [62, 112], [4, 74], [77, 131], [43, 83], [9, 63], [3, 68], [60, 134], [5, 80], [2, 68], [3, 52], [37, 92], [107, 150], [46, 97], [68, 111]]; loss = 0.009607 low_pass_filter = 0.300
+Epoch 0: | | 29829/? [5:38:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 29830; scene = ['8024a13b551c34cc', 'a8a2445b40f0ee30', 'd297538f14da1f52', '8719fa7d74daa634', '0da1ec5684bb7324', 'f4e169b7394250b0', '1c7f6e9252a56933', 'c83fa4955ce845b6', '99e513749f0aa3df', 'a100e3e5a44b9087', '9b92a1a5dedd759d', 'b953e33b08009f7d', 'ffb6679f3ee529a8', 'fb1ea1bcbb11faa9', 'bfee9355cfa1bf11', '2e56f864030ef8d7']; context = [[43, 97], [107, 167], [203, 261], [58, 115], [1, 71], [101, 160], [46, 102], [87, 134], [0, 41], [0, 47], [63, 116], [0, 66], [12, 56], [72, 144], [7, 78], [5, 54]]; loss = 0.008435 low_pass_filter = 0.300
+Epoch 0: | | 29839/? [5:38:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 29840; scene = ['ab105e8f1d99150f', 'a43662d2b5050d3e', '5bab39c110682f57', '67244928d64036d0', '71158ce6e52f006e', '7e33bb2341a764c8', 'f8c397088d14b26e', '5ca2454d5e17ce03', '654bf5d9ea7c6074', '5a4291ddb11a24e8', '8a6de3060d69e024', 'f16926351498b37b', '5d670c58f45b4c1e', 'c6c6e42b867160a3', 'a1d20c059e8f4779', '5e33cda6da0fe7a6']; context = [[24, 72], [7, 69], [7, 52], [11, 59], [18, 65], [114, 164], [8, 73], [101, 159], [53, 106], [10, 82], [92, 132], [10, 58], [3, 54], [1, 43], [4, 74], [47, 115]]; loss = 0.008865 low_pass_filter = 0.300
+Epoch 0: | | 29849/? [5:38:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 29850; scene = ['3582b54a8e7095ed', '9aa06b976e5ab9a0', '2844cf44f8918214', '0ed48ea3fae159ae', '04f105ada75a23a5', '2fea2eddb904396a', '54dd72dab33e9306', '65e9f8984bd38083', '3849372892bb6536', 'e7fad36853161638', '2a7384bdd4ba6392', '6d5f9095cda559cb', '902534468722d0a4', '3cfeac5e37c2dd0b', '049c68b1ba3b62da', '69d8221a5c505e93']; context = [[1, 76], [6, 81], [9, 80], [14, 60], [56, 103], [43, 88], [16, 76], [33, 90], [0, 57], [66, 110], [35, 84], [56, 100], [10, 74], [30, 100], [58, 114], [20, 79]]; loss = 0.007944 low_pass_filter = 0.300
+Epoch 0: | | 29859/? [5:38:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 29860; scene = ['c572ac3284157a08', '86b09ea5b794986b', '7b914f996081f191', 'a54e82e91e5f96d6', '7e0b1a41506a74b1', 'c061d3130154ac45', '75bd48450ea50266', 'c5d56903d7ae7f56', '08891ca55eb55112', '1c54df59fd1b67f4', 'fae7f132e19f6e6f', '72bac7dc0c3a7f6d', '4320e900cf5f7074', '77ace1e7ac8d2492', 'a4ca4b8b54598cfa', 'de9fec8ca2fd7942']; context = [[21, 81], [14, 68], [88, 162], [31, 88], [1, 59], [9, 73], [36, 90], [151, 208], [43, 83], [3, 70], [77, 140], [128, 168], [38, 96], [43, 114], [7, 74], [9, 63]]; loss = 0.008632 low_pass_filter = 0.300
+Epoch 0: | | 29869/? [5:39:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 29870; scene = ['a9a97381f3c0d9a1', '76fb9550ad54d54f', '076a3cb985c80010', '15c7be1c31e5dcf5', '019a00cb0729daa0', 'e2633bd88045350a', '590a96bdce2b6f66', '518b7ff041c71f35', '11e2d9eec65ec014', '49f52e9a0e83383a', 'bce06efba2b1d37c', '4c3228043c66d20e', '6f1508676b76c4f7', '1f0308acd5b5aed7', '35b4f262621408f8', 'f807936e20d8a3dc']; context = [[15, 81], [0, 65], [5, 71], [19, 61], [43, 108], [58, 120], [53, 95], [5, 46], [2, 78], [34, 109], [8, 83], [23, 69], [20, 74], [8, 68], [146, 220], [27, 100]]; loss = 0.010994 low_pass_filter = 0.300
+Epoch 0: | | 29879/? [5:39:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 29880; scene = ['d673c1599cd086b4', 'b948ce0680ae4e32', '9eb8e7f262b10c23', 'c3774b5bec23a553', '637b4d4424886b66', '56ca12de78c49588', '1e577c2db0f77f6a', 'efdf5de615e94ae0', '2e62cfde60be91b2', 'bb355d47dc6297ab', '77c003fdb097bd57', '29ce6a355ec64999', '4a799d9c15a25e4f', 'a68a1811510d9752', '4a4cf92146dbf416', '0af825db9b9ad51b']; context = [[11, 67], [23, 72], [29, 73], [55, 107], [21, 94], [15, 83], [0, 52], [53, 116], [33, 94], [48, 119], [93, 147], [209, 261], [20, 65], [2, 50], [141, 184], [3, 71]]; loss = 0.011934 low_pass_filter = 0.300
+Epoch 0: | | 29889/? [5:39:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 29890; scene = ['c1d130d5d25415ba', 'e08993b4d6d78756', '8ead50093236804b', '8152694c7e03b0c3', 'bc1c008f39715ef7', '14f3add9df8c5c11', 'a7930e5ef55f35e5', '8055cdaff88d9bba', 'f8acf602b1dafce1', '2962fbb4bfaa1f12', '3151db5299095375', '50c8be69eeb534e1', '108b9614c137e493', 'c08033a1903bc740', '299413c1beb0e49e', 'f0f62401af0e2e2f']; context = [[17, 57], [10, 82], [48, 90], [11, 70], [95, 162], [104, 164], [2, 54], [14, 81], [1, 72], [52, 94], [70, 132], [86, 146], [93, 152], [44, 110], [0, 42], [148, 216]]; loss = 0.010869 low_pass_filter = 0.300
+Epoch 0: | | 29899/? [5:39:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 29900; scene = ['7a1a53e2b48f3704', '083d960e926d3fd0', '4940baa330eb5eab', 'e468af0a0f261461', '5f47e9254ac35b30', 'bdb91e0ceb20b277', '652e2802174afe53', 'a9c46ac5493ff50a', '22e924b9bd3f671d', 'e47c511cbc88c8cf', '507b5a777e8b7517', 'e41eff9093ca7ba2', '857b8b79d1d97fc6', 'ab0aa8aa12dbeb28', 'a78160aa2032339a', 'a768697c4930ef01']; context = [[1, 74], [92, 158], [22, 77], [5, 80], [105, 160], [44, 116], [44, 116], [44, 85], [76, 127], [50, 119], [18, 58], [1, 65], [12, 76], [39, 114], [141, 210], [63, 126]]; loss = 0.011501 low_pass_filter = 0.300
+Epoch 0: | | 29909/? [5:39:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 29910; scene = ['313cc78ecf6c53cf', 'b7d197b74ecf0646', '43d042f674f94209', '971586ddd0d6a4c7', 'aa46e13f5533ecad', '66fd7a5ab38b46d3', '8133c5c5e0b6da9f', '04990e0e0320ac2d', '335f19bb2ded2e2c', 'ee1b443b2c28405d', '9cedb8b2ef4174aa', 'e52cfaf24f493d5c', '85dcedd1ced0a5c7', 'b90a83734094c8b0', 'ea37055c196b5e20', '1188e171a4f746d8']; context = [[7, 62], [145, 197], [5, 49], [21, 62], [9, 84], [8, 51], [47, 104], [3, 51], [39, 83], [49, 123], [44, 115], [11, 84], [69, 115], [0, 70], [20, 70], [0, 56]]; loss = 0.012933 low_pass_filter = 0.300
+Epoch 0: | | 29919/? [5:39:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 29920; scene = ['6587a582e70da65e', '9ed566141bd48703', '2589ba4f31031bd5', '1193dcc37cc6cee5', '062a71646932bce9', 'b281033b87f3c95e', 'b63963a25fe3c953', '7ecf7d574c35ed13', 'a8486b8f4f762d05', '2b9cbd635854b62e', 'e59c541c3c0cc68c', '38d17287a2d1b35e', '4e2fbc828c9fe2bc', 'abfb3e8af35aef41', '3e0497b3be34d492', '1d6ed861c30a6c05']; context = [[110, 159], [4, 48], [50, 101], [112, 166], [52, 96], [12, 76], [75, 136], [26, 98], [36, 77], [58, 130], [92, 149], [18, 76], [0, 40], [0, 40], [153, 195], [6, 51]]; loss = 0.010818 low_pass_filter = 0.300
+Epoch 0: | | 29929/? [5:39:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 29930; scene = ['fe6824a4a09b11e0', '98ce0acd742da43d', '75395572e67504f1', '69f4af955f0c5456', 'c29cc54efc535e57', 'f7d98971d27dfe00', 'f43d286d12845522', '2f3a17c1963f8747', 'd13f87ebbb540503', '54dd0f01e6fe3732', 'c8c02283a21fc50b', '66cb40e5ae133979', '3e7d9e9d11520831', 'dde251c214658896', '6919a53cacc3e63f', '0a17ebb98cbae36a']; context = [[25, 83], [162, 221], [34, 103], [45, 89], [53, 104], [0, 55], [131, 175], [208, 275], [10, 72], [26, 96], [25, 74], [15, 86], [52, 125], [20, 91], [40, 115], [0, 61]]; loss = 0.009718 low_pass_filter = 0.300
+Epoch 0: | | 29939/? [5:39:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 29940; scene = ['af72f5eb3b6193e9', '14cf0c360a00550a', 'ab5aadbe6d834fcd', 'd81177196427a1d8', '74d01ad913965b4f', '4813e06ec55ba35c', 'e572cbd7129940af', '8edc47d4d783fca2', '29cbd3d1ea610876', '7d7aadd0fb7e9516', 'e55f763ae26e52c3', '0f93fdb52c6933cf', 'c1f32a7a7ec37d39', '6187332401a328eb', 'a3a5e373d876db0e', '43ff97dde0957aad']; context = [[7, 74], [115, 159], [82, 124], [9, 68], [30, 97], [168, 240], [45, 110], [8, 53], [64, 130], [2, 51], [19, 84], [59, 123], [5, 58], [81, 126], [39, 114], [10, 55]]; loss = 0.010415 low_pass_filter = 0.300
+Epoch 0: | | 29949/? [5:39:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 29950; scene = ['8887dc8e1d0fa377', '5604225ddca0c7d5', 'c0be85aa74684dcf', '8d2343fa49c60b9c', '038f6464b4f58072', '7ad1fce2b0339169', '7c6647e38feb3dba', '22644c4fbf43b33b', '9e732e959082a6c4', '22b9f16c8dd1e8df', 'bd4c297469c2bc4f', 'e381359e340285d0', 'b64c39c43cba1b56', 'f0b8a9c3ce97c71e', '305c01eefbbc2612', '72c2b1bac8dff909']; context = [[79, 127], [154, 204], [31, 71], [35, 99], [10, 51], [12, 55], [5, 63], [200, 276], [1, 44], [20, 68], [17, 89], [91, 158], [0, 48], [201, 251], [52, 110], [50, 97]]; loss = 0.011415 low_pass_filter = 0.300
+Epoch 0: | | 29959/? [5:40:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 29960; scene = ['16fccc4a79f5d064', '721e2ff6feff2137', '80cd3bcbc1be5c9f', '2f8e9839ebd582cd', 'f5a777195b9d4286', '108ba78f9946d978', 'a5d9b402ed01bf4e', '72c72e43b808b0b0', 'd3b5c826afd6e9c2', 'd98d96650581af8c', 'bcf6fb55143410c9', '1c12478302c7dd14', 'b4e0f20e225aed68', 'c03a11a9c493584b', '3f8937c5ddbe6d74', 'f95e0898918ca26c']; context = [[1, 61], [98, 171], [35, 87], [12, 81], [20, 91], [83, 141], [0, 51], [12, 55], [13, 55], [1, 72], [57, 98], [12, 80], [234, 276], [95, 139], [15, 76], [29, 91]]; loss = 0.010892 low_pass_filter = 0.300
+Epoch 0: | | 29969/? [5:40:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 29970; scene = ['a4f29e578abae21b', '5928418b505f300b', '354bb8c3bf607454', '8bff83ff7b1d25e9', 'd834085f08b8e1b5', '76d477e0f4218735', 'cdce02ed0baf8f27', 'e72a841fa01591ee', 'b1216352b15f9fa6', '7b026e9cc2809b23', '8960d6b0b7c62066', 'aef1e4297d457ad0', 'c572ac3284157a08', 'd53f3d87d749e474', '2f42d8f78b745b8f', 'fafd9e0fbb9517b8']; context = [[56, 114], [7, 74], [84, 131], [21, 72], [33, 106], [12, 72], [79, 150], [30, 80], [6, 82], [13, 61], [9, 57], [15, 68], [6, 62], [33, 74], [3, 71], [86, 157]]; loss = 0.011361 low_pass_filter = 0.300
+Epoch 0: | | 29979/? [5:40:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 29980; scene = ['47d5b1834962293d', 'c178eae2652d9d6a', '43b04b0a13fa0dea', '9c0bde40c33eb71c', 'c6d42b8762adadbb', 'f5fd2d3dc5eda234', 'b44a9831f5c9346a', '70c3f63e49f0a60e', '4dce2f5cdfb61209', 'd33a702220f9c643', '1cc6d70643937efc', '5c04e1bb3d57c7e2', '419e0277df79188e', '986f645284094c16', '008565fd84fac8bc', '0d7da46def0b4cc3']; context = [[26, 74], [12, 59], [108, 165], [9, 63], [24, 71], [3, 72], [178, 247], [0, 73], [3, 60], [0, 50], [2, 44], [87, 163], [106, 164], [13, 56], [133, 201], [47, 87]]; loss = 0.009888 low_pass_filter = 0.300
+Epoch 0: | | 29989/? [5:40:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 29990; scene = ['a08c8a37e64ce67d', '3ad6f38502e90d67', '8c2098bdc333b3f4', '8ea66e985b15761a', 'a8bd1ffe4d25ed82', 'c03b290c2ecbf9f7', '2ff53fd35bc18dca', 'c0a17e186d26bb09', '4db3084a435465dc', 'b1d54bf52101ee9e', 'f93d69a250a55d93', 'd7a205520e310aec', 'c02abc6f11678b26', '1e1c633f7f1965ba', 'e4a6c17773949334', '1d2345a0eb0edf4e']; context = [[30, 79], [46, 105], [28, 80], [22, 85], [7, 49], [30, 83], [172, 245], [0, 43], [63, 126], [2, 60], [30, 89], [48, 121], [7, 81], [18, 67], [0, 44], [2, 78]]; loss = 0.011344 low_pass_filter = 0.300
+Epoch 0: | | 29999/? [5:40:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 30000; scene = ['2248dfd686c001dd', 'eb11a3065fa51c18', '9575639b887c61b5', '0c6a2ce61c921520', 'ca894ae64063abe9', '3a394bb7b1240d9f', '6d152b36a2c6b3a0', 'cba7a7869de72700', '271e98f377d9979a', 'f2de3305ea7dd161', '5c0404e0e89d1e26', 'f5850d9e389635d4', 'b0fc928a28ed8256', '98b790f0838ed801', 'dfcc5ace57685ef2', '9f87035a427b8952']; context = [[12, 57], [96, 170], [15, 64], [50, 113], [125, 175], [157, 207], [4, 52], [0, 72], [82, 125], [32, 89], [26, 82], [8, 63], [5, 57], [1, 65], [10, 78], [1, 70]]; loss = 0.009215 low_pass_filter = 0.300
+Epoch 0: | | 30000/? [5:40:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0validation step 30000; scene = ['020a41f988981396']; context = [[16, 75]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 30009/? [5:40:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 30010; scene = ['1f44f9200820c142', '61c1a8c9a5bbb249', 'd85e72198954fedf', 'db91fed7543340ef', '90a596bfb6501865', 'aab3ddb3540888d6', 'f79c0e72570d1ebf', '268ea1b094cf7133', '9ae6eee1a169ab7e', '14c275162f918417', '0da029b610c57c2c', '4f0ea940beba2dac', '9481648d5bf5e73f', '3188d7690207730f', 'a3de547580187314', '3ce6cb05cc8b3ff3']; context = [[42, 93], [39, 88], [5, 62], [92, 135], [47, 92], [8, 75], [45, 119], [153, 226], [18, 75], [38, 86], [33, 95], [16, 73], [9, 78], [6, 74], [88, 152], [5, 69]]; loss = 0.009691 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 30019/? [5:40:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 30020; scene = ['91147b6e8047c8c8', '9899ad035dd9c665', '1ff0f52fd841b9c0', '2b8c9d0c8013e677', 'e6b15b1187728499', 'bdbd0d543a3901a5', '30c37f6c4677fb23', '2b141c0433cc5039', '537f0b57f895b038', 'f1e07881ded298f1', '45ece01ebfab5852', '8133e02814227215', 'f057f5ce14b54044', '7d7bf8fc97c29961', '2c38ebf17747a14e', '2b787547ea496776']; context = [[20, 90], [82, 140], [46, 110], [17, 74], [0, 74], [69, 142], [8, 75], [9, 57], [111, 182], [27, 79], [34, 93], [50, 93], [104, 172], [34, 91], [32, 106], [34, 105]]; loss = 0.009211 low_pass_filter = 0.300
+Epoch 0: | | 30029/? [5:41:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 30030; scene = ['f6d8dfc70b33a654', '10d1864880c5a385', '69fc48e88e77063c', 'f3acba9a72f70675', '5969edcafd208c2d', 'ca04e3dec73c44e8', '2dc367efc8ceca81', 'ddc9271651c44be4', 'db43e6e730f0d1b4', 'db38ce99557156fe', '6c20fee406d44de7', 'fd6eb7cb939fa6d0', '9b19461a244f4c8f', 'e1e7f254259c3d9d', '72a296d4a3d7d727', 'b68f301ea1c8c6f7']; context = [[22, 82], [69, 113], [97, 154], [174, 246], [2, 48], [25, 76], [3, 57], [126, 195], [13, 56], [36, 98], [0, 60], [228, 274], [123, 182], [24, 64], [117, 184], [16, 69]]; loss = 0.009599 low_pass_filter = 0.300
+Epoch 0: | | 30039/? [5:41:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 30040; scene = ['7867824cbb124768', '5586c8da04deb086', '4d8bb45bd691e7cb', 'ec3b6eca01fa6fe3', '39a496c11d4d536e', '442dca0c4ab9c0bd', '436ccd6836a9c74e', '4b808397ff3cf77a', 'e3a5f86863dd4815', 'c0a6dac092abee5d', '7edfb93cc9ec56ae', '19628f94fd6a344d', 'f4443bff45c3a48c', '533c2f41ab209d24', '3868cb5f50baac6e', 'f31290cd79204332']; context = [[17, 94], [36, 97], [3, 68], [46, 112], [9, 63], [33, 109], [21, 65], [27, 87], [34, 86], [11, 71], [1, 75], [1, 44], [16, 58], [1, 67], [38, 85], [1, 77]]; loss = 0.009414 low_pass_filter = 0.300
+Epoch 0: | | 30049/? [5:41:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 30050; scene = ['36e33959215c9d0e', '1668a84868a4854b', '677050e1ae2da818', '102b393a88361a71', '58ec77029a3dc124', '642d3fb21f60cc53', 'd307d393104be667', 'e2df128a869d2f9f', 'cf67c763fe477641', 'a607e9d14c4669ff', '6024a890ccc180d0', 'b7cec90a1bec3325', '9c57622905e0c86a', '367e3d276d522257', '8e5392e480708fbe', 'dcb5b9c600bb39fc']; context = [[3, 67], [2, 66], [3, 59], [217, 275], [133, 200], [16, 71], [74, 126], [59, 106], [19, 61], [109, 160], [17, 66], [63, 126], [49, 117], [6, 82], [18, 61], [0, 60]]; loss = 0.010528 low_pass_filter = 0.300
+Epoch 0: | | 30059/? [5:41:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 30060; scene = ['1229dfbf06d50470', 'defbee9b9b68f1c8', 'd04532856be2ff76', '2ce03759821c614a', 'ccf2dd688d959321', '1c930f0ba5d52de0', '42c1cf74638dc9df', 'd34235700ae6fcfd', '94d3ef8ad5ab7ca9', 'f82b93a87b350b21', 'f3d5fa05b2ee8b01', '6dffc7fe830bbe27', 'a89ab21f1556eba1', '99a2ea0f961156c2', '9808d034c6fe86e2', 'fa8b2ee0f22990e3']; context = [[116, 189], [26, 91], [127, 190], [10, 87], [23, 85], [142, 214], [44, 120], [43, 91], [112, 173], [4, 49], [84, 131], [30, 89], [6, 81], [88, 154], [24, 83], [40, 101]]; loss = 0.013766 low_pass_filter = 0.300
+Epoch 0: | | 30069/? [5:41:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 30070; scene = ['a48e4d1ee71accce', '7f3daeff5bda4e56', 'bbde42c6fe73bf9b', '160a2a01d7df079c', 'a1ae9945ffda9ae0', 'b7884ce2812d35b0', '58d5ffd3dd7497ba', '1c513ccee796a9a9', '8950913eab2e5928', '283d170b23705e00', 'eba83c298c398adf', '8961aa1e874405ac', '04f7f3db54b4e2ee', 'b24b7fdd1b97ab2f', 'dab76f9e8cf74e13', '19db4d803976bac3']; context = [[45, 114], [0, 48], [29, 75], [23, 71], [210, 255], [222, 266], [0, 43], [12, 58], [21, 63], [9, 67], [155, 213], [5, 60], [29, 83], [48, 119], [139, 211], [1, 49]]; loss = 0.010141 low_pass_filter = 0.300
+Epoch 0: | | 30079/? [5:41:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 30080; scene = ['6353e5f192e3d3b1', '82fbf69e7be675b1', 'ba414545b5656142', 'e3641bf1bb0eeacc', '0afe668d57616438', '4ad4191f28c4bd5b', '0b20f8a6bcd67e51', 'b3569c0aa91a5faa', '05eb05f4a63e0df6', '0c8af3fa6aa60dea', 'f904ba6dd57174ee', '85098f10e7c0d7f1', '74d6913ef306badb', 'c5105a963e0519d3', 'a86c32a25b92f015', '6bbb1f05446d7e85']; context = [[3, 49], [11, 62], [10, 55], [48, 99], [152, 200], [25, 75], [14, 64], [25, 82], [5, 73], [6, 55], [173, 214], [53, 97], [138, 206], [13, 67], [144, 186], [2, 79]]; loss = 0.008986 low_pass_filter = 0.300
+Epoch 0: | | 30089/? [5:41:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 30090; scene = ['c1028e67d73c3504', 'da83ee87a69a3bf1', '5fc78da0b2bb89a5', '9232ef6ebf4bc047', '7032a676484c319b', 'b02dc4e4cf0ec58e', '9dd47de79d8a59b1', 'd5b19358d6d05a63', '88f0ac14ed8feb1c', '39e77582c902fb47', 'be23a4b4e11391f4', '96ad6fdc08cdfc37', '9ee288075a75d9f7', '627833d07680c6e4', 'c6b0970a98ef932f', '611bad07db5d9180']; context = [[13, 77], [27, 89], [53, 103], [14, 82], [2, 63], [43, 98], [5, 77], [63, 119], [2, 78], [76, 117], [82, 153], [22, 74], [6, 71], [22, 72], [32, 97], [1, 43]]; loss = 0.011341 low_pass_filter = 0.300
+Epoch 0: | | 30099/? [5:41:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 30100; scene = ['50d16d209c6d009c', '93dcdc36ab76b422', 'eddb11e3eafb8bca', 'b6b27ea9e20cc7f3', '3421fa4b85e525fb', '1370b99bc8024aa7', '47e61f9035350deb', '89688b095738c643', '8f10bb00b5cdeef5', '2436a7535acef810', '0c3a4203b6965291', '59f826743517b9c7', 'e1209d28a6625e83', '2443607afe3596b2', '95f1c90080b4d6a1', '1e4b156503c3e144']; context = [[102, 168], [187, 249], [9, 70], [22, 93], [103, 144], [24, 77], [2, 64], [118, 162], [98, 152], [120, 171], [1, 49], [20, 70], [124, 169], [191, 245], [8, 60], [18, 92]]; loss = 0.008776 low_pass_filter = 0.300
+Epoch 0: | | 30109/? [5:41:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 30110; scene = ['ad7e2025beb77451', 'b04afb4bbc4f0035', 'd56bc7ca0f6368bc', 'a07bd2d6a03f05bb', 'b53a8e8d3caa0f66', '026013ca541c30da', '096ec46a582e58ed', '9be8777414b5510a', '4a5a40fe006ce40d', '40feb7856665d3d5', 'aea713a654bc70f2', '55396890c6961267', 'fb2d399fc8d1288f', 'eca88f83164ab4a3', '9581703df313bac5', '92e0092df2d6229e']; context = [[54, 100], [22, 66], [1, 66], [51, 112], [62, 126], [198, 254], [42, 102], [21, 82], [58, 132], [29, 105], [0, 45], [15, 78], [72, 142], [30, 74], [29, 104], [15, 65]]; loss = 0.010467 low_pass_filter = 0.300
+Epoch 0: | | 30119/? [5:42:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 30120; scene = ['9329c049929d708a', '05072eaf139f4298', 'a8b050efa6c8b67e', 'e1df53064b4345d8', 'd216906d16b4f008', '702b39a8cd04ade6', '7fe5e77e660d9f01', '8a1475befb607b61', '49983a5053eafbfb', 'e418773dd5f757ed', 'bb921538d58b7231', '93b36a54151e085e', 'e4774e728791dc20', 'b0c97926eca1b63b', '3a4e08a3f02ad769', 'cd69cde6b6bab65c']; context = [[14, 85], [3, 44], [93, 157], [32, 103], [41, 89], [84, 152], [57, 109], [0, 41], [15, 58], [26, 93], [28, 93], [35, 77], [4, 64], [14, 85], [30, 99], [49, 93]]; loss = 0.009660 low_pass_filter = 0.300
+Epoch 0: | | 30129/? [5:42:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 30130; scene = ['6dd3679736281d03', 'aff92e6d911876cf', 'b06cd5e3d43abf81', 'f8bcf128f66aa850', '29e8b0996f0a9b95', 'ea1317a53dbb5fd3', '56438c6cabe05a94', '935d78deb38563da', '55d037b163d975dc', '219ebc236cbffcc0', '9281d032283f8d52', '1b1b21b3f518e7af', 'be0d25e6435259cd', '471dc634ca05ce07', '12b6d36d4100b2c8', '771811339194e54f']; context = [[0, 73], [35, 109], [12, 71], [1, 75], [20, 68], [149, 217], [14, 62], [29, 79], [28, 89], [29, 94], [79, 151], [62, 104], [23, 69], [54, 107], [5, 65], [16, 93]]; loss = 0.013242 low_pass_filter = 0.300
+Epoch 0: | | 30139/? [5:42:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 30140; scene = ['3f4d3dfe48c85e87', '8331a772dd2af270', '4ca176819903e36a', 'd0c6680d3b6119ed', 'dca79ca95e499015', '9f3e123c0a215292', '11a3dd1e7dbfff9e', '8fb54729546a1876', 'd79f8de02a32cc1c', 'b2935e00531d1e4f', '781216e5faefd183', 'cd3f80e2f7a82583', '6fd0a32acb5e9be2', 'c8be2a65ab3523bf', '8b43bf4714cafd7c', '18dff95c712c43cd']; context = [[3, 76], [6, 74], [72, 149], [18, 69], [44, 120], [39, 89], [4, 51], [14, 61], [63, 118], [4, 59], [49, 101], [113, 179], [16, 76], [1, 48], [145, 219], [46, 102]]; loss = 0.009244 low_pass_filter = 0.300
+Epoch 0: | | 30149/? [5:42:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 30150; scene = ['c48400351c7b11df', '6bb82afb461cca15', '692c8f1a1ba8d95a', 'fa14af07fc50d2ce', '111972c5ff606fed', 'b5228b26c99db999', 'eb18adfdb3125bed', '629506e3f6b8d7ab', '66e50acd846b2cd1', '6f06edf5869507d5', 'e0b4d5d763af7191', 'b780c9bd73237806', 'ba7ccf57b2511a90', '4fc0da76742961cd', '7d4f88d897aac9e1', '5659ca024a33b07e']; context = [[26, 70], [23, 89], [68, 138], [45, 89], [77, 124], [6, 81], [4, 51], [3, 77], [186, 253], [39, 109], [17, 66], [0, 41], [3, 54], [11, 84], [13, 65], [18, 77]]; loss = 0.009540 low_pass_filter = 0.300
+Epoch 0: | | 30159/? [5:42:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 30160; scene = ['c2ded93be50fa46f', 'eb5b0e050d74b9eb', '1be1019456e06288', '11a2c0c4293ef929', 'ceba1996f22e23cf', '8bad178a126aa250', 'c6614943d1021526', 'd860a45ad00c65b0', '41d4d91f1aa80efb', '07be1c41e6e00f4b', 'afc1a03e2e21445a', '0d7cbb1d4e7831e1', '9ba95d48eab6a0c3', '0cba06c344cacaa6', 'ca11186f72f84306', 'a2bae8859904fa7d']; context = [[57, 113], [98, 172], [4, 70], [14, 71], [2, 79], [4, 79], [52, 94], [17, 69], [4, 63], [16, 64], [0, 41], [77, 126], [109, 164], [8, 70], [0, 70], [29, 74]]; loss = 0.010054 low_pass_filter = 0.300
+Epoch 0: | | 30169/? [5:42:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 30170; scene = ['0e969f24a01a0e5b', '8bc195147942ed17', '4281c9c2d1655e67', '82710ae1d85fb247', '786d4e8a8c162c2c', 'cce0c126b9b53bfe', '6684fc33674f2025', '252a4d522d463417', '7430821f0f20c61a', '36df585860d0ad88', 'beafcc712b6557c6', 'd86e6cb9723a1c4e', '3fd37c92837271ef', 'ee4dcc640af50e65', '9b73ab94b5c43711', 'd11ebc30ee032c3a']; context = [[130, 186], [1, 50], [70, 113], [153, 220], [16, 78], [34, 88], [1, 44], [0, 51], [3, 61], [77, 127], [38, 82], [11, 78], [0, 44], [8, 56], [1, 50], [8, 49]]; loss = 0.010102 low_pass_filter = 0.300
+Epoch 0: | | 30179/? [5:42:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 30180; scene = ['b9ad9897e3b13dcc', '258d0991293a33d8', '7adf869eb170f616', '33778a1390b5382c', '6405e2d406e1b757', '674b0b8d7a33588d', '4145ecb599693b8f', '045a00b4448730ad', '57c0f11046ecaace', '525fe1b5f060ee0a', 'e0df7342222206cf', '562f4e6ffc1fa73a', '794f82190c77df55', '350abc56828c23a5', '03a2379e89a8ee14', '8b97a226a5f0dc3e']; context = [[13, 71], [1, 56], [0, 50], [0, 53], [5, 78], [38, 113], [58, 105], [15, 68], [6, 65], [1, 48], [9, 54], [154, 207], [1, 78], [147, 191], [30, 82], [16, 88]]; loss = 0.014048 low_pass_filter = 0.300
+Epoch 0: | | 30189/? [5:42:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 30190; scene = ['50efd0e453568e13', '4539ac4b4cc5ddb8', 'd41a1962fa962d97', '72de1e94d9864184', 'd15bd6b9d047eabc', '9733c922457884bd', 'f9efbd129bac6209', 'bd77b6ee00143f9d', '854536a1d912b596', 'a2c1e912a4cb686c', '489033bdcaa98fdf', 'e0810bce9eb04d63', '030091ba69ae37bd', 'a814455509c872b1', '3a045112f60a54ed', '6b02b1580ce47546']; context = [[55, 129], [9, 69], [7, 81], [10, 60], [4, 46], [37, 85], [5, 65], [95, 141], [145, 195], [79, 144], [18, 74], [57, 134], [19, 62], [2, 49], [43, 108], [52, 103]]; loss = 0.014766 low_pass_filter = 0.300
+Epoch 0: | | 30199/? [5:42:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 30200; scene = ['b1b8e8c88721bafc', 'ed8272185c1ac2e0', 'e9409f501f1b6346', '64fa28b2416a6a38', 'c4005922f59686ae', 'e32356ddcfb80246', 'f024a38fc8e4ec74', '4c6ca52094c027d7', '81a3f8a8ce79a059', '92362c407ae31300', 'c01ce746e8786ee6', '9de7790c7be4dc5b', '67f5335d95ac7bbf', 'e9d11d18a0abff33', '51b622049a721290', '063dc505e73135af']; context = [[11, 75], [52, 111], [96, 161], [37, 81], [12, 66], [11, 72], [29, 94], [79, 134], [11, 64], [2, 57], [8, 65], [10, 58], [154, 202], [28, 74], [13, 83], [56, 128]]; loss = 0.008959 low_pass_filter = 0.300
+Epoch 0: | | 30209/? [5:43:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 30210; scene = ['f8691ed394b8914d', '696f18d61f0040e6', '18fdae7fa95a3500', '4b8ed7595178cf1e', '3f5894a461b1c692', 'd3342619a41a406d', '7cf964401459bf12', '5a276f9c4e674870', '02eea15d07bbc607', '91e3cb9e265cb735', 'b868fe4d209e655c', '7676731236980273', '681403b37685a02e', '261ef9a50fb94e04', '11fac7d1114390bb', '061ed8e52a8b6cf0']; context = [[40, 84], [39, 85], [2, 66], [23, 71], [185, 253], [16, 84], [5, 47], [123, 198], [10, 52], [21, 94], [35, 105], [75, 128], [21, 92], [17, 63], [8, 50], [0, 43]]; loss = 0.009884 low_pass_filter = 0.300
+Epoch 0: | | 30219/? [5:43:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 30220; scene = ['4bc5ddb6cabff7db', 'b71a1e48ca1f08ab', 'e85265a8d92fd967', '79adefa90b4cf274', '759942d03731acb9', '7294e6445c250c4d', '334e7a0f91f2c699', '09c29b89084847a5', '03c3ddcf6ef056c5', 'df661a8dde758767', '94528aa4b12cb80d', 'c4dcb56f3acfbae2', '14429847fca72501', '24e0253b8985985b', 'f013bce1f27dafca', '5872c8189271b86b']; context = [[22, 71], [4, 77], [0, 46], [121, 183], [41, 88], [106, 167], [33, 76], [101, 156], [4, 47], [197, 242], [8, 53], [24, 82], [3, 77], [6, 60], [60, 116], [0, 45]]; loss = 0.010383 low_pass_filter = 0.300
+Epoch 0: | | 30229/? [5:43:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 30230; scene = ['a2e5f84fd671b85e', '04b29f18ba65f722', '94216becd67304a2', 'f348b20c0df04245', '1ba3dec845c10b66', '468a367c6bde7be7', 'a6fa40bedfca6012', '0cef8a131f31a91d', '6004f467be73b0db', '53daa5ea0d4b98bd', '1d4265985e7667cc', 'ce8aee19127c3952', 'c19488b4bf826477', '8a7be9a038e8fdf2', 'da7bad740daf5022', '62d7cde738fd81a4']; context = [[21, 96], [2, 68], [9, 77], [137, 211], [35, 91], [10, 82], [45, 92], [29, 80], [11, 80], [35, 97], [12, 87], [0, 47], [23, 99], [139, 201], [3, 44], [14, 69]]; loss = 0.010396 low_pass_filter = 0.300
+Epoch 0: | | 30239/? [5:43:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 30240; scene = ['d75a2d501d06abb2', '0f2c72ccf47c2cca', 'cafb7b387787db6b', '43c9cb3a1f008f2b', 'da3a6901f12a6e59', '477f44d4c838a6eb', '109b6adc229361df', '655b92a1e07f28eb', 'c9e8b97faafa2ebd', 'b44e76ceadcbe46b', '3f3e74839f5c5b66', '6534207350c6ba20', 'e5dc96d4a551f24b', 'e5dc977e96e194de', '6c48d4f8e82c11fd', 'c81f122ec9f9771b']; context = [[150, 211], [0, 77], [68, 131], [2, 78], [120, 175], [0, 42], [171, 214], [104, 156], [203, 259], [23, 88], [22, 73], [41, 98], [11, 54], [41, 100], [25, 77], [10, 61]]; loss = 0.009670 low_pass_filter = 0.300
+Epoch 0: | | 30249/? [5:43:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 30250; scene = ['f9e4a4a27b9f0530', '0059080010e0a279', 'a12ec328b1ce8ed3', 'f67633dab609f48a', 'ea4a6d0a0220c7a2', '020bf2eec0942025', 'dd8e5b4c898f822d', 'd3496921a6d7b108', '9ef268c905f3c02d', '8eb9e437797482f6', '5830ae37f597a53a', 'dc1ae8c3ae7797ff', 'e49884a3a277d320', '361100f6ae8c1ad5', '75ed6690375be78c', 'a899cc62b4d16a99']; context = [[37, 96], [41, 98], [50, 125], [1, 50], [73, 118], [27, 90], [1, 50], [87, 149], [93, 154], [5, 80], [146, 211], [33, 80], [26, 97], [59, 114], [100, 148], [25, 69]]; loss = 0.009380 low_pass_filter = 0.300
+Epoch 0: | | 30259/? [5:43:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 30260; scene = ['040c62f0c68fd788', 'ad986b13d4db790c', '547583d5f8ae1238', '873339b3cca41d9d', '547ec2a373bca762', 'c62f05d391aa6ac6', '1c4c57c62457fb2e', '80c31b550426d52f', '46d291b62f5032b2', '485274f02ea43b07', '6e8dc23c5e156bee', '2944c41941a725e9', 'a7397b2a4fdfd7fc', '3fbcf1abe6d59580', 'ecb65156238cc6a9', '4676d54100c9e75c']; context = [[125, 196], [3, 46], [107, 154], [23, 89], [47, 124], [11, 79], [10, 57], [115, 171], [10, 76], [15, 72], [26, 84], [32, 79], [0, 66], [19, 68], [122, 168], [97, 169]]; loss = 0.009969 low_pass_filter = 0.300
+Epoch 0: | | 30269/? [5:43:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 30270; scene = ['049d772b4c8812c1', '24c3112253bdc9e4', 'eb1d705a1ae016d6', '91f7c33f32933ea9', '90c122930a9e312a', 'b847ec06cba28276', 'c3e673bd92458709', 'e5ff6eed15988cea', 'c1fefc8fc1a43ebd', '6f0892266008cacb', '913f81eeb5c2d6ee', '4eba3bc99c2092f5', 'fb93194f2d98089f', '365c26a679e2ebed', '6d88accab8099498', 'b6b9559aa53adcb6']; context = [[51, 94], [10, 66], [60, 129], [5, 68], [225, 270], [5, 46], [152, 228], [145, 210], [168, 241], [31, 102], [29, 76], [9, 58], [232, 276], [9, 66], [31, 72], [3, 58]]; loss = 0.010836 low_pass_filter = 0.300
+Epoch 0: | | 30279/? [5:43:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 30280; scene = ['1c32325abe22ac6f', 'ad6382d589e53358', '12e15379b5d12957', 'f47ce554c1100cc0', 'd68565483c9b4696', 'd426c64fa2b71ff8', '2b5e6d0ebc0b794d', 'c7329bdb7df9f49e', '98a1924100186241', '81c57fa72d55c6a3', 'cdc25fc545a88095', 'd69df5f455d35671', '969b9699cbc22537', '84c7b81fee110094', 'f6c9f7047e2256e1', '57b11b8b82458f9a']; context = [[51, 116], [10, 56], [21, 73], [91, 132], [32, 83], [3, 57], [30, 95], [2, 74], [169, 210], [0, 58], [68, 121], [163, 206], [8, 68], [47, 97], [23, 98], [26, 79]]; loss = 0.011322 low_pass_filter = 0.300
+Epoch 0: | | 30289/? [5:43:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 30290; scene = ['ddded3ee0b960e44', '003908a8fa818d50', '71783d872a2ffba3', 'e787931493aac604', '099e97edda52c612', '51f38ab4c2b552b7', '7703f6f3dd2f91ef', 'cb0c401a0063b867', 'cb2b652cd7ff57e0', '3428dfbb69ba1c94', '1d3ae192a6390463', '92d48535714e3403', '4cb3a3bc72da5752', 'bcaf2ffd6f7195ff', '87a267d2cfa6ef7f', '672ceef1477a4ee1']; context = [[60, 113], [0, 70], [10, 54], [86, 130], [182, 240], [34, 93], [31, 93], [95, 172], [115, 159], [14, 56], [36, 80], [27, 104], [9, 59], [25, 80], [38, 91], [6, 82]]; loss = 0.010078 low_pass_filter = 0.300
+Epoch 0: | | 30299/? [5:44:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 30300; scene = ['b266ab1fc79a6d4c', '1950a003b933bbb5', '22edbc16b6e8ba25', '55f83ad68913a83f', 'e66478d7a8e3268c', 'd2d6b67d875ba2c2', '341f28178feeb2a7', '18608d94d4769a68', '7cb6e645ee870b6a', 'a9adef412237b777', 'f4068f5c8367e625', 'cfaa564b4d0c3e02', '4619634afa74b44a', 'b30304703e3b4359', 'c37935df091373a4', 'ab73420cf06a4ba1']; context = [[108, 150], [40, 91], [42, 96], [14, 85], [17, 94], [8, 63], [23, 66], [29, 81], [9, 54], [41, 105], [8, 62], [85, 149], [14, 77], [0, 43], [92, 155], [2, 58]]; loss = 0.011961 low_pass_filter = 0.300
+Epoch 0: | | 30309/? [5:44:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 30310; scene = ['747758f69ad48072', '44033cb44fc70e62', '12187d763ed3bcf3', '090cd7d740571c1e', '32b351130816f54b', 'ba2d21290ad804a6', 'cca6d62cb8ddc4e4', '9d88aa143fcd52c6', '784d25b1c8496d7d', '55b6f9d7fd7b048f', '6584d26cd17e774e', 'd92fe6617d7f8753', '468d05fe9cae4c74', '19135331ae38e95c', '17e9cf03c1e188e9', '86f380517c075816']; context = [[0, 53], [13, 79], [32, 86], [0, 75], [0, 59], [88, 140], [33, 88], [56, 114], [0, 77], [0, 62], [59, 123], [0, 43], [206, 256], [16, 68], [1, 61], [21, 87]]; loss = 0.009570 low_pass_filter = 0.300
+Epoch 0: | | 30319/? [5:44:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 30320; scene = ['0badcdd96a4c3fe5', '67b2f1c002c84aae', '9b6c1767f7f1e398', '1e34f5b87ccb156f', 'c60321ebc88ec957', '6614f415f227fb91', 'f992071564cfa5d7', '0d7e98c8cb6b0f5e', 'f2851940fc2d313a', '9beec741422ba809', 'a9ef4a24b4d444d9', '470ab1ead567352a', '36784897d51395da', 'd29cbb6e7aa31fbc', 'c8b7b281d32219d6', '3a90013ef1427fd7']; context = [[5, 66], [2, 56], [11, 63], [171, 215], [212, 272], [25, 99], [12, 68], [8, 54], [16, 57], [1, 45], [48, 116], [61, 131], [20, 65], [13, 60], [90, 134], [138, 188]]; loss = 0.012165 low_pass_filter = 0.300
+Epoch 0: | | 30329/? [5:44:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 30330; scene = ['598405d8c5ccc93e', 'f3eddf3f21377715', '85e4288441eccb23', '7c50a3e751ebfa5f', '412565faf1fd5db1', '7f7331d1f9e876cc', '039b1dfb06179920', 'da2afd41d40b5366', 'd7576649d0266727', '08b847b675424659', '5403b2116cfcb7f4', '90b054efa5dff38f', '7d4cc2212a819b09', '0d19a98df7f0d404', '88ec5960ae4ad257', 'e8198adc8f286ca2']; context = [[3, 51], [10, 73], [88, 135], [58, 105], [178, 251], [16, 77], [13, 66], [107, 151], [23, 75], [156, 232], [2, 78], [12, 63], [3, 57], [1, 74], [14, 80], [152, 196]]; loss = 0.009667 low_pass_filter = 0.300
+Epoch 0: | | 30339/? [5:44:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 30340; scene = ['8fb03b9d2998c479', '4140ec5db9c9d091', '5eda0406a5e02452', 'c92ef5fbc5fa1ba2', 'de22770da73bbbf1', 'a61018020bd0c545', '07bf825918a85f50', 'f80301703d292a0b', 'c874ebccecfe6add', '9b4023216c7798bd', 'f729fcce20f5e06f', '6915a186168543b8', '32df185121315429', 'a8f4d62bdcca98b6', 'd4775a73d902fab3', '4e6b5b48208082ce']; context = [[1, 75], [27, 68], [15, 66], [15, 70], [13, 78], [18, 73], [35, 111], [166, 208], [32, 84], [0, 45], [71, 141], [1, 51], [61, 132], [163, 218], [42, 116], [24, 81]]; loss = 0.011992 low_pass_filter = 0.300
+Epoch 0: | | 30349/? [5:44:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 30350; scene = ['36925aca2fa496f6', '51044fb67d273ead', '702b78dc2a86d3dd', 'fc5596247d4bfa18', '2de40cefd70bc708', '00415ec2f505e8c3', 'b953af75bafccce8', 'c223385f4ccd5220', '88a9533f6e6f1736', 'a082fdb24870d360', '222255ddcacd20cf', '1fdef796118f642e', '477b227f30b26d5f', '89610e2709f7fe4a', 'cd6004a198ec5ce7', '6b73871e384a0f75']; context = [[1, 63], [12, 84], [149, 206], [58, 106], [77, 146], [127, 177], [62, 131], [12, 68], [24, 88], [0, 64], [4, 49], [33, 80], [118, 194], [4, 49], [0, 48], [110, 159]]; loss = 0.009214 low_pass_filter = 0.300
+Epoch 0: | | 30359/? [5:44:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 30360; scene = ['6a644d71d717c6a7', '97caecafbfa7f1f6', 'a95dacbd3ea3db36', 'c63b37ec347f0d0e', '944e92ff3fea78eb', 'b84cce034b55e1e4', '4993c13bd0a11f24', 'ea97e5ae55e56208', 'c83c353973bfa41d', '2c13034bacfe93b5', '265941bdd185f866', '52cf0ad63b78dd22', '57208c486011b4fa', '631c3172963b11b7', 'f1ce31f915df235c', '63db3bbef4dd3361']; context = [[0, 56], [8, 82], [25, 100], [1, 70], [68, 120], [4, 73], [11, 53], [1, 60], [45, 95], [61, 136], [3, 69], [24, 101], [23, 67], [28, 85], [2, 58], [1, 62]]; loss = 0.008693 low_pass_filter = 0.300
+Epoch 0: | | 30369/? [5:44:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 30370; scene = ['85cc8a0d62c58ffe', 'b63b97f07fbeaf24', 'c0f4554c18a09b34', 'a20b4125ede06429', '42c335ae9a3feb5d', '46ed182c11fd6b04', '12879245713d8124', '81df63a4ecea570a', '32b3ad9a970f91f3', '8f6162ccf652ebcd', '1eb163cdf1a999dc', '08c9b193a605a746', '49f810b54cdde3f0', '0f43aae34b1eb846', '2bedb36d46b659f0', 'c97f57e4354ba28f']; context = [[21, 82], [132, 189], [24, 99], [29, 83], [7, 77], [15, 72], [11, 55], [204, 250], [86, 145], [0, 75], [6, 66], [60, 110], [50, 123], [71, 121], [28, 77], [3, 70]]; loss = 0.010445 low_pass_filter = 0.300
+Epoch 0: | | 30379/? [5:44:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 30380; scene = ['5d02873ad626d986', '0badb8c0dfa8d328', '9453fa28dfd12dfa', 'b62bfc8b7c12625e', '78dff24134373857', '7c4abf90a9c2bb5c', 'ef0948bb2141d23c', 'd342e31b3af28208', 'a4f2e7495466dabb', '1c4209ff1c3c95d4', '7440df6b4df2803f', '87c665f106ea30e2', 'd6ecefa36d04007a', 'ccf02ed8d67330dc', '81b6cf7fd559d1c2', '4accbdaf2ba3e72e']; context = [[85, 133], [81, 139], [56, 115], [119, 168], [22, 78], [42, 87], [7, 78], [193, 253], [45, 86], [42, 102], [0, 58], [118, 189], [8, 58], [0, 41], [70, 134], [47, 97]]; loss = 0.009993 low_pass_filter = 0.300
+Epoch 0: | | 30389/? [5:45:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 30390; scene = ['f65b93b003d07fe4', '5368642d202f62aa', '23fb1b0d413e248a', '514c58ca3d21cfeb', '19cb93b1a26786d0', '886400696ccd9e2b', 'd595d547e3e71dac', '60d567c546486e0a', 'f7335129c21e0105', '6704cf19be80eaff', '208bc933986ed669', '210f5da73aa89253', '2502f2ed6eaa9583', 'c1638da99851d685', 'e1fd0cabe1c9fdfa', '49702ee14a753709']; context = [[20, 80], [111, 152], [93, 165], [69, 139], [88, 152], [41, 99], [0, 45], [81, 153], [112, 172], [75, 144], [21, 82], [16, 64], [39, 100], [120, 196], [176, 226], [109, 168]]; loss = 0.012772 low_pass_filter = 0.300
+Epoch 0: | | 30399/? [5:45:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 30400; scene = ['a23c9a6f908d54ca', 'ba18cfa17a07e100', 'a224bb34d94bbebb', '19242e2977432835', '5b6e4e886fe8aa82', '5446148b27f5e5ea', '7442e8d1f450ec5d', '43796a5e9835d23e', 'c335f6430f3c6c02', 'd3d939eb13d3e2e2', '45d04b9824b1d3db', 'c64522975c1b787a', '455df7901a395e03', 'd17c0ad5517fdf22', 'e204918388c62bc8', '1cda8e238facd520']; context = [[6, 54], [25, 87], [37, 86], [1, 60], [115, 172], [45, 90], [152, 197], [6, 64], [23, 64], [65, 142], [25, 68], [159, 222], [17, 78], [7, 78], [95, 140], [191, 244]]; loss = 0.007927 low_pass_filter = 0.300
+Epoch 0: | | 30409/? [5:45:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 30410; scene = ['cf88375b1e6b8486', '860cb96a18812b20', '0ad0740248869c93', '3284bdcba1efd8a8', '47d5c52893beea42', '55bf4e702787a6cb', 'f1c3b96cfaa15919', '3ced8eb88a62da93', '136558bc6c565da1', '937f8e3d9793a726', '62e480eda89b85f4', '8aac6e58ac48fd15', '00bbf676b3378549', 'd63314ee9d11a5fe', 'd9e0fc931a94def3', '5b32aa8371edec0f']; context = [[30, 84], [55, 103], [0, 66], [140, 194], [12, 88], [10, 56], [57, 130], [1, 53], [46, 122], [3, 64], [1, 62], [61, 136], [0, 76], [74, 147], [14, 71], [135, 181]]; loss = 0.011582 low_pass_filter = 0.300
+Epoch 0: | | 30419/? [5:45:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 30420; scene = ['cf51bd344a6f26b8', '510c8fcaedbea78a', 'e8fd41962a23f7be', 'facb894d147976e1', 'bb326b22023bb1c3', '59140892d3eca7fa', 'a7bc2227bd3a3006', 'aef468834942aa86', '52822406ea675d52', '70a170a625f03d28', '43cc195276cf0c56', 'f8e5e70e0e0ccc4a', 'd26c085c6b0272e2', 'd3edfadeed4bf16d', '02f82cf54ffefd78', 'af5b170dd00f375d']; context = [[28, 70], [8, 53], [12, 76], [138, 182], [71, 124], [0, 59], [130, 199], [18, 90], [8, 52], [53, 101], [37, 100], [9, 76], [122, 185], [47, 121], [2, 52], [15, 89]]; loss = 0.010734 low_pass_filter = 0.300
+Epoch 0: | | 30429/? [5:45:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 30430; scene = ['3ba890cda89bf635', '35cbaf6ba07c64fe', '2d203766696cc2e7', '3a53f0f0377f069c', '36039cdb6bc7e0a4', 'b9d969fad20ff6b0', '093a1513be64df04', '077f091f15f38a60', 'c5f1fa01bbb0c1a9', '1df01e86ca84e747', 'f7b4d47fa023d83c', '59290e5eafe2dacc', '2876ff2b0e9b35c8', 'a8708276de880b2c', '1ff6a0130c1bdbc9', '76d53cf41f53eb37']; context = [[51, 92], [20, 67], [1, 42], [23, 76], [9, 80], [12, 72], [28, 78], [59, 121], [4, 69], [2, 68], [2, 65], [3, 76], [3, 44], [0, 47], [0, 77], [0, 64]]; loss = 0.011501 low_pass_filter = 0.300
+Epoch 0: | | 30439/? [5:45:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 30440; scene = ['b953a6e9c693493a', '647839cbca8db12f', '9472e0c8a62e30d1', 'c33fe2d3b7986ed6', '350adec15cc186cc', '8d9d6d9fa213b895', '7345aa2a210fae8c', 'ecd6d0156e796f80', '105283c6a2b6ad00', 'd34e157b5b283b89', 'fe4fa50ac12f51b0', '97c8e6562064bede', '591d4ef1fe3a9c81', '53d8683f2b99a881', '63636e57f2911e93', '027183156ae278ce']; context = [[30, 97], [4, 66], [14, 57], [51, 108], [0, 50], [34, 94], [62, 121], [43, 85], [1, 59], [39, 88], [47, 95], [20, 91], [29, 79], [26, 102], [0, 74], [42, 112]]; loss = 0.009946 low_pass_filter = 0.300
+Epoch 0: | | 30449/? [5:45:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 30450; scene = ['d006b2a511adbf29', '69bcf2ac9c8407d2', '1170794da4c3f477', '11a0410061415599', '414b7d55b5fde684', '77542628c9955b43', 'ce50e60b3d231911', 'e39974ca56f48929', '651dec57270e7a1f', 'b7cb64ed6212f961', '8a063a94cfe50aa1', '1ef1a0860a3b465e', '15790a6ab4a1f516', 'c772fa408dae9acb', '7f52ee494a9f69f1', '4370393c4130d397']; context = [[5, 57], [62, 138], [66, 108], [68, 132], [1, 76], [6, 71], [31, 77], [125, 193], [58, 99], [23, 84], [28, 93], [161, 212], [13, 55], [0, 56], [25, 67], [71, 120]]; loss = 0.008485 low_pass_filter = 0.300
+Epoch 0: | | 30459/? [5:45:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 30460; scene = ['9ae203dae9fbba58', 'a4b60340518670c6', '4e8b585cd698ceeb', '85e72acb202e93c4', '66d4652ef890ce52', '5ec193c4b6b33e08', '9075825add4e7443', 'd3c976525f0a1ba4', 'eb7fb058c14b7c07', 'c60a05da5a4c0816', '6c85736769aae887', '15edaece260430f8', 'a10772e4b4398eb6', '232eeca687ce1f7e', '7effa2a1152eb398', '4ff83ab9e59ad015']; context = [[1, 42], [21, 71], [77, 140], [84, 144], [5, 82], [10, 79], [68, 127], [0, 75], [3, 76], [18, 92], [74, 146], [0, 44], [209, 266], [26, 100], [32, 91], [8, 73]]; loss = 0.013706 low_pass_filter = 0.300
+Epoch 0: | | 30469/? [5:45:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 30470; scene = ['dc1110b7701f6293', '5ed75ec6df343f5b', '172722bb9e5e9e55', '23d9737abd092875', 'e5da5035d5cf1047', '909f9937eed27880', '8f22e9a311fc7127', '81954eeb7c50183d', 'ce04d2f0e461e2b6', '96d77693e54350c7', '824a064f8ab1cf0a', 'abaa09068432a694', 'af4d7b5f270b9f1c', '9055041789f01a42', 'b6ee356598ee3c4d', 'e0c47b9d7af9ef13']; context = [[196, 261], [3, 61], [4, 70], [7, 69], [24, 79], [28, 79], [0, 60], [0, 53], [3, 51], [27, 92], [3, 73], [3, 72], [0, 73], [2, 52], [3, 58], [12, 62]]; loss = 0.013004 low_pass_filter = 0.300
+Epoch 0: | | 30479/? [5:46:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 30480; scene = ['6915c82c1126fc3b', '9bf240527154779e', '5db1f93559662c33', 'a950d4448837f574', 'c2c37a6bf0a12e0b', 'ef9f95673c607cfc', '8bf01fa3d703d54e', 'd5071670e0c38441', '9c6f712cead21584', '158c7dda2cf0765a', 'afad90a8ee12661e', '142af18c2b5f0145', '852f866007866388', '1c966db883c0b9f6', '35409afab97a204e', '23710dc8de8b4a49']; context = [[5, 49], [18, 74], [37, 109], [1, 47], [12, 87], [141, 194], [84, 143], [23, 79], [27, 81], [58, 103], [72, 118], [170, 230], [0, 63], [90, 149], [0, 72], [12, 58]]; loss = 0.011073 low_pass_filter = 0.300
+Epoch 0: | | 30489/? [5:46:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 30490; scene = ['625ea47516e38745', '308091dfa01684c4', '9caef0504ee554fb', '74b03d0ab2e62526', 'f21ab4ce8e25d9a5', 'b58d58f47244918b', '6d824f7a87981e47', '725fe0471179aee8', '16267af07bb2ede1', 'e50c150d8ee765b9', 'd6b6059b0a46e610', '47a528e39cb5b025', '8c095cad49acba9b', 'fc83f9be2ea52f05', 'c94d0b4d3856cbb0', 'e636a447575d20ac']; context = [[88, 149], [0, 75], [20, 63], [0, 46], [0, 61], [14, 83], [15, 62], [124, 170], [8, 55], [47, 89], [4, 57], [206, 258], [164, 218], [66, 107], [62, 116], [38, 103]]; loss = 0.009430 low_pass_filter = 0.300
+Epoch 0: | | 30499/? [5:46:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 30500; scene = ['fc86d4f8f547a669', '416a07aebbf6bde0', '125e043ed828047e', '716ae06f1f482356', 'd0f966e06d2aa8dc', 'e8988b8e3c25d157', 'd766eac515f8c9df', '3d163eea20f886c3', '9237d0a19afbabcd', '90181a8ba6688854', 'e3b8576a277f8752', 'ade6ad49f2e818c5', 'ff9300735daca726', 'f518897fecd94508', '82047a161180382a', 'feaf9bdc8197aeb9']; context = [[169, 218], [0, 42], [15, 90], [42, 109], [3, 62], [3, 74], [15, 68], [197, 266], [3, 45], [5, 51], [99, 142], [17, 65], [28, 69], [64, 134], [0, 46], [6, 55]]; loss = 0.008303 low_pass_filter = 0.300
+Epoch 0: | | 30509/? [5:46:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 30510; scene = ['9e7176a195177385', '96292e5e47cc9fc1', 'e758c80eeb625520', '51c7623c73daaef4', '0576ba3a47501d8f', '088aa8c10c5fd80e', 'd31e6aa8b1e23cf1', '3dab79d6331a4331', '29327cb2e7a4f3af', 'd340521843cbbd83', 'bb43b136a8b948d1', '48e8066af70d253d', 'fa8905506230fe0f', '287e328a3cfd0a3f', 'ac614ffc64689343', '4ddfd1909ff161b0']; context = [[111, 161], [52, 123], [16, 67], [4, 57], [7, 81], [43, 98], [18, 73], [24, 82], [135, 194], [12, 54], [28, 84], [0, 45], [25, 101], [6, 69], [60, 103], [6, 69]]; loss = 0.009257 low_pass_filter = 0.300
+Epoch 0: | | 30519/? [5:46:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 30520; scene = ['a2db16941ab9b242', 'bb3e5ca9e09602eb', 'd3f823a591c04174', '5db01ea086a8e862', '39ee29ea23cd28ac', 'a6085c3947e9edae', 'ebfd99428653bec9', '23ada50ed2964f18', 'aebba824d31656fe', '33fee065c3e83dbb', '395c0f63db6bb538', 'e93ef07a12e65021', '73b326a2356225fc', 'bf1e6a67f6bf9b82', 'c4ba30d763bede27', 'a1e67b5c38a3c0c7']; context = [[24, 99], [1, 46], [53, 111], [5, 48], [80, 138], [203, 277], [34, 99], [55, 116], [12, 62], [7, 76], [0, 50], [65, 119], [98, 162], [63, 125], [13, 67], [190, 247]]; loss = 0.010903 low_pass_filter = 0.300
+Epoch 0: | | 30529/? [5:46:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 30530; scene = ['69f07b10f91302a1', '585f341e385b5707', '195f7b5576b015d6', '2ab48c61b095860c', 'd625f06f1ca09d8d', 'd2c15251a4e5047d', '6a13f52fc80a963b', 'afabee4e2943d012', 'a7a018165cd919a4', '5f2242ceed2ff1cb', '4b0ec29104410efd', '32b9ad4775ea81ec', 'a1b6e8ac262440d5', '8727a972009a2f02', '3327b4df79479c20', 'ebcaad26ea067131']; context = [[77, 127], [2, 44], [37, 95], [3, 54], [5, 55], [7, 48], [121, 173], [172, 249], [6, 53], [0, 73], [50, 100], [55, 113], [7, 64], [10, 57], [120, 172], [105, 175]]; loss = 0.007595 low_pass_filter = 0.300
+Epoch 0: | | 30539/? [5:46:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 30540; scene = ['4eb4ba507316bd57', '9316b3c04ae81baf', '32aaa090d9131f32', '505f55a2e28cbe6a', '04806761182976f3', '3db6f7d8e206b983', '84caf9b231f3bcdc', 'd526d6a1ae6b7aff', '7ddf7986259f5e2d', 'ec04ce88e4b5737f', 'd7e66989889cc942', '13bcc685b6ca0cc9', '7f6d0b8f0b26de72', '1b179722f65bfdfe', '33046df072dcb853', 'e29e0c5083c67975']; context = [[121, 191], [70, 131], [3, 55], [31, 85], [24, 101], [14, 60], [17, 73], [6, 47], [10, 69], [11, 76], [132, 183], [18, 66], [11, 66], [22, 74], [5, 57], [72, 121]]; loss = 0.012484 low_pass_filter = 0.300
+Epoch 0: | | 30549/? [5:46:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 30550; scene = ['4bb7bdad7604472b', '670c5094bc0b1e7e', '52b1987a8f553c00', '8ef6b6c6c432d6ee', '032414a2811e3530', 'bcd621665fabf254', '22a705dbdc98cc4f', 'dfbeb78b2b8c99e2', '15be5925908185f9', '7654f28a71c8b0a9', '5c264ea5cb7804c5', 'b7a01752401f8b53', 'd9644f4985e51a1f', '25d6f10b8d881940', 'af2bf37f747ea039', 'ef61fa01cc558ce0']; context = [[2, 63], [9, 67], [11, 88], [42, 100], [87, 150], [91, 161], [29, 92], [17, 80], [52, 114], [71, 112], [175, 239], [2, 50], [38, 83], [0, 46], [13, 58], [181, 256]]; loss = 0.007916 low_pass_filter = 0.300
+Epoch 0: | | 30559/? [5:46:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 30560; scene = ['f59a578b65c02808', 'd8fb559aaed4da44', '5d21b42ceb929377', 'faea448f2b4288d3', 'd2bb7463fe19637e', '562335093bc96094', '895a901ddd481ded', '05347d56da893981', '9fe032b64b5b91df', '3b65829d6b1455e5', '6c4460628810b20f', 'ec723bd46c6bb0d8', '1450f9c17a54d723', '4d6386d7cd6a39c9', '8f3e0781466f9752', '23d280e44989cfa9']; context = [[21, 87], [234, 275], [124, 195], [62, 120], [0, 61], [2, 46], [2, 56], [11, 55], [3, 75], [111, 152], [134, 209], [51, 120], [46, 90], [24, 89], [19, 84], [1, 67]]; loss = 0.011571 low_pass_filter = 0.300
+Epoch 0: | | 30569/? [5:47:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 30570; scene = ['847e8053e29adbeb', '1b6cf9888d142fe1', '7ad3c6fe04b279ee', '7d0b23a5417adcde', 'aedfde725ac8cda1', 'a831d37e59002526', 'c3533af28febf55b', '1185796675009ca6', 'a45af19c2ad1b7a9', 'd78279228e96c9ff', '83da83241d5d812d', 'e6bd49192ab21f5d', '789bc3d0827b3458', '86e922e5d4069d1e', '90c444ed7f565121', 'b5d6c77bcf7cdf5e']; context = [[31, 95], [15, 62], [1, 55], [45, 117], [14, 66], [8, 60], [151, 218], [29, 95], [17, 61], [193, 256], [33, 80], [15, 64], [1, 74], [25, 70], [17, 79], [199, 254]]; loss = 0.010480 low_pass_filter = 0.300
+Epoch 0: | | 30579/? [5:47:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 30580; scene = ['e8dd93213b0a8a6c', '32cca1e716cb453a', '6fd4fa60b47978b7', 'd792c89551ca8937', 'e3590f3f596ed4ee', 'ed61b288e9b09a03', '0a6deca53d7acebf', '30993d0572bc5c54', '9adea502b3254523', 'debf501ab6ea3dc9', '23cce795aa30ae38', '65de107f6b39ec37', '05caefb6550250b0', 'f3cacfe3ffeb7f0b', '37f65c5095d23a9c', '2fa209588a926720']; context = [[6, 82], [0, 56], [45, 118], [65, 114], [19, 69], [9, 72], [13, 76], [62, 125], [60, 101], [3, 56], [49, 106], [45, 102], [33, 81], [64, 110], [8, 60], [62, 134]]; loss = 0.011385 low_pass_filter = 0.300
+Epoch 0: | | 30589/? [5:47:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 30590; scene = ['ba72bcdad317f0dd', '7fe87b53d021aee6', '367d250609302784', '8cb09e31cbe80b3c', '817f789e08bfb0e3', 'ad6ff450cfff873b', 'a453224e9d63617a', 'fcd43815a19e99fc', '28b09b881a8ad7f2', '51ff0df49a7bd068', '64435b9a6dcc7adb', '5bf004fc53c8d551', '7aa3c7e45fc2c4ad', 'c4c6c83ade0c6354', 'a630d771b4ea78fa', 'ce8367adee3675c9']; context = [[7, 63], [83, 129], [186, 246], [171, 225], [61, 118], [3, 57], [87, 146], [32, 96], [0, 43], [31, 72], [27, 70], [152, 224], [38, 103], [12, 85], [208, 276], [10, 56]]; loss = 0.010629 low_pass_filter = 0.300
+Epoch 0: | | 30599/? [5:47:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 30600; scene = ['3c55515a280e20da', '3d0e037775a94dad', '901acd3f5f61725e', '7aa1330f7063540b', '5c6cc840651fd034', '57ef0c24d90eb0ad', '9c6b4263d2b5bf61', '41ac5e73b4bb9dd3', '450a7534d76e1d77', '6f9a38e416c0cbbc', '9727a06ab104dd69', 'e635188de5459834', 'dd9b2201803468d8', '8569d8fe098bf3e7', 'fda3cf8f3c1994fc', '9e2278190fe8af7b']; context = [[4, 60], [61, 121], [14, 68], [40, 109], [0, 60], [0, 72], [9, 84], [28, 80], [5, 52], [20, 80], [219, 261], [0, 57], [155, 196], [31, 83], [37, 105], [0, 46]]; loss = 0.009511 low_pass_filter = 0.300
+Epoch 0: | | 30609/? [5:47:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 30610; scene = ['8024a13b551c34cc', '1c7f6e9252a56933', 'a100e3e5a44b9087', 'f4e169b7394250b0', 'deac6c1bc870db57', '2c2d6873128e014a', '7fdd72e496bdd789', '032b98d9458de4f1', 'c0ded55f01f2472c', 'e209814caf886ff2', '11a485ef06f84a25', 'a971b3d4b654fcd6', 'fb3926ccaa7ce567', '3fcf9f442304f5d3', 'b68ed170d10cf1a8', '48e35e779b8bd99c']; context = [[30, 103], [56, 117], [8, 58], [84, 139], [57, 120], [58, 102], [70, 145], [9, 60], [53, 107], [5, 79], [68, 114], [70, 118], [0, 76], [9, 69], [121, 187], [4, 79]]; loss = 0.011538 low_pass_filter = 0.300
+Epoch 0: | | 30619/? [5:47:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 30620; scene = ['b3698fba681b1429', 'cb4e1239c00db508', '5f6129348cc047df', '3163e39561e208a8', '77c48da8f803ebce', '28b23bd8cc4b5cc9', '24a3779576222a94', '0e53f99fe63ee8f2', '502b31ec4023c337', '8e12adaf19e58a53', 'c3d7c6b0a2f4961d', '436e6d7fb59aa0f3', '7c66260a2a16b5e0', '8a13ce44068459fd', '3288cc4146fa0325', 'b21458f5b6015a06']; context = [[19, 77], [6, 58], [128, 191], [0, 43], [7, 65], [30, 98], [19, 62], [60, 113], [89, 143], [6, 60], [20, 96], [180, 232], [137, 210], [41, 102], [10, 52], [17, 73]]; loss = 0.010467 low_pass_filter = 0.300
+Epoch 0: | | 30629/? [5:47:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 30630; scene = ['bf4e983248554c10', '184871528de94493', '61f631d8fa601e6b', 'c4ed01fdbdc7851a', 'c8a486b083a1b41f', 'd0252dde8512de70', '9cc2ef713f12e92d', '925bb132693b2e06', 'de64ddc3dac67b2e', '1cc1f0e0dfd6912c', '61f2b4f0fbdfdc56', 'f9879c1f6508cea5', 'a0f58ed84db144cd', '5f0601007c180e69', 'a1765a6e321bd6e1', '3c916ce0b7d20d60']; context = [[2, 75], [11, 58], [31, 74], [51, 94], [2, 62], [80, 154], [3, 72], [190, 248], [2, 80], [69, 130], [32, 103], [7, 62], [2, 49], [90, 150], [8, 60], [5, 63]]; loss = 0.009988 low_pass_filter = 0.300
+Epoch 0: | | 30639/? [5:47:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 30640; scene = ['b2340e1da544c02f', '67c50a32a11d6527', '3573edb7bc3d813e', 'dbdde58cc9737f08', '8c710017b7fa073b', '41b80c5fb43019e5', 'f70ae846db4fddda', '51a1505d1556cd6b', 'a622560296708d3d', '70a20d40c095d870', '36107140acb611a3', 'c66103cf29564bcb', '3c15b2ce08b4d3eb', 'f7498ea452fed198', 'c897303a7723198d', '754a52ce12b77483']; context = [[3, 69], [73, 143], [148, 194], [0, 51], [67, 138], [45, 112], [31, 95], [15, 76], [12, 68], [190, 259], [10, 59], [5, 79], [6, 70], [16, 60], [35, 100], [14, 57]]; loss = 0.010398 low_pass_filter = 0.300
+Epoch 0: | | 30649/? [5:47:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 30650; scene = ['1e1fdfa6a145f035', 'ce882f834e1a2655', '712d4fab4627a65a', '7cc671fb62c099bf', '36396a869b4be221', '0ac0bf6f3eedd48e', '2bdd5f4361dd74c1', 'a5326b43f6ab5fec', '4e27774a0315aa2b', '9944bc31fc2e1580', '8bd906d22951bc07', '5e22c9e85225ce9d', 'b49b695f253edbda', 'bc84a3e1d55aa887', '39fde4cbf205e075', '7a6ea676693b1471']; context = [[46, 112], [69, 111], [17, 68], [219, 268], [16, 74], [36, 79], [8, 76], [13, 78], [74, 132], [20, 64], [3, 47], [46, 95], [63, 141], [95, 160], [13, 57], [63, 139]]; loss = 0.012096 low_pass_filter = 0.300
+Epoch 0: | | 30659/? [5:48:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 30660; scene = ['8db3a405c4842cd6', '6dd2c631caf47e6a', 'c424df62d1d99ef0', '610d6f3a3f16c492', '194c15e39ebf1c3b', '4aa2c53d2ee5cd97', '9116ebaa351e517c', '71fcc35fb52def0a', 'a9b8f780c8ebd244', '7409fa8e94c4edb7', 'fef9f74d74bcc23d', '7298dfa97b690dd8', '567f873d0287adab', '4b07c63d08460624', 'e14eeb5891211f67', '5f88e169f1188873']; context = [[126, 197], [2, 57], [11, 79], [1, 79], [3, 75], [27, 71], [13, 57], [6, 75], [35, 112], [7, 82], [28, 75], [20, 82], [162, 233], [11, 71], [6, 57], [27, 74]]; loss = 0.012002 low_pass_filter = 0.300
+Epoch 0: | | 30669/? [5:48:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 30670; scene = ['5b4ae8c5f7349c17', 'f62a48672f8acac7', '839b542ef0c0696e', 'df607878c3beffe9', 'f63942420154ff92', 'b09331320276c019', '3ba6e1145c8b37a9', '99635d3040198ba3', '02a36358f7cff958', '5e5c7e1e33673b7e', '97568a7f147a654f', '4a3fd9a21123f197', '632384f4c6834aea', '8310605001f9033d', 'bae8e9f786e36bdd', 'bab355ea5a2c6258']; context = [[77, 120], [39, 102], [6, 82], [10, 58], [59, 117], [13, 56], [7, 70], [10, 77], [21, 93], [15, 68], [39, 87], [44, 105], [91, 138], [2, 43], [124, 176], [144, 216]]; loss = 0.010081 low_pass_filter = 0.300
+Epoch 0: | | 30679/? [5:48:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 30680; scene = ['b3762e6eada7c909', 'd8b5c23a498b8ae9', '964b1504ba08b772', 'd124663c9b0bba5a', '7277318e530f2a41', 'e17790b2f36e4c30', 'ab5ed6624644f825', '9825644a9714109d', '3a37a1b2a1ea13f8', 'bb36dd0e45474503', 'f5c90024e0c40fa8', '22ca83423c4a8c9c', '896854a5d7c5179b', 'a01c907f0070d11d', 'a134112256d679ba', '8ccc670b427d277a']; context = [[20, 75], [4, 76], [10, 52], [28, 91], [31, 90], [28, 95], [44, 103], [130, 174], [65, 132], [8, 59], [4, 47], [41, 82], [4, 61], [69, 118], [46, 113], [15, 81]]; loss = 0.012831 low_pass_filter = 0.300
+Epoch 0: | | 30689/? [5:48:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 30690; scene = ['afefafce8f467d96', 'db3d51c462a54a7e', 'f26e8a72f69b6153', '2059d1d6c79bc51b', '895fe07be01436f1', '993a85e1b690e97d', 'f26c35b6e5dca2b9', 'd0ee747ebdd26d7f', 'de0c00eac13d6563', '658d3f56767f0396', '45042d8ceb9440cd', '09baf34837b78dc6', '8e4125f4e5f8015e', '292a077510e4423e', '1387b0d66678f867', '8030e59b90ab02d6']; context = [[0, 78], [93, 151], [126, 186], [6, 54], [23, 84], [84, 140], [37, 110], [98, 142], [9, 67], [77, 130], [8, 63], [66, 110], [6, 57], [39, 81], [201, 275], [31, 73]]; loss = 0.010876 low_pass_filter = 0.300
+Epoch 0: | | 30699/? [5:48:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 30700; scene = ['d62c060a62da110e', 'ffda743d376dcde8', 'd81116dc8c96547e', 'c81095ff7cc7034b', 'b45e47d231088428', '1318e656455d56d2', '53a2168e29e700dc', 'a535813b18e86b5c', 'd02e6b104723d39a', '91ac7d7027dcc46d', '57cea8a71cab48cf', '051c6fc0722d51f7', '33e825f8a32b472f', '1290f3a6418b3dde', '289adac94281ccb3', 'd6693f13dec7af96']; context = [[5, 47], [84, 129], [38, 111], [4, 64], [38, 98], [52, 129], [16, 84], [17, 95], [69, 142], [52, 114], [17, 81], [9, 59], [18, 64], [222, 275], [0, 68], [12, 59]]; loss = 0.010096 low_pass_filter = 0.300
+Epoch 0: | | 30709/? [5:48:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 30710; scene = ['3deea102e0d63de0', '1503420278efc893', 'ccc8be51521d6fad', 'f58a95c7f2042462', '5ed8e93ce775d09d', '33e022076dd375fd', '4587fa54c8e17af8', '65c4989cc1efa746', '483aaca9d363c641', '25f03bd9c39ab064', '28d7e19c6e24d569', 'a589cacd1404a0c5', '7efcb8cf3ccbd340', '1d30d8bce2897a08', '63a408decbee5e99', '30c166d197c85de0']; context = [[38, 114], [69, 122], [30, 98], [1, 77], [121, 170], [42, 90], [69, 128], [46, 91], [9, 79], [1, 59], [1, 62], [14, 84], [14, 81], [12, 89], [142, 197], [29, 99]]; loss = 0.008782 low_pass_filter = 0.300
+Epoch 0: | | 30719/? [5:48:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 30720; scene = ['2687bc1e51a4e36d', 'd9a5d625a7e07b16', 'd036f6f2ad1e3e8a', '34efaf4f55a91b71', '7f42a24413a95630', 'cd2529997d3ef9fa', '3d91b43e1a09c619', 'c1575fdf39330878', '1ccf620f6be00648', '8ead427494d4082a', '073b157ef9c22ce8', '0b4ee64f2a7787a3', 'd1850dfd19d9717e', 'd9df345fe1518eec', '899aae28d5e32d0c', 'ed1d3c0db41a3c5f']; context = [[0, 58], [137, 196], [79, 139], [128, 191], [11, 54], [12, 56], [25, 81], [46, 88], [15, 89], [131, 196], [29, 89], [1, 42], [7, 65], [65, 106], [4, 51], [1, 70]]; loss = 0.013281 low_pass_filter = 0.300
+Epoch 0: | | 30729/? [5:48:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 30730; scene = ['46949cf576795db3', 'fbe7b4c8640ba0a5', 'de241fa49d4538b9', 'c959ec78eb78eeb2', '6f5fa8822922873b', '249ef8a07044111c', '0538e5f42c8ac365', '1b3fa34de7e27e2c', '141e9a67571a1f88', '59644d767b717d5c', 'e6ae06f558163220', 'bccf9a3c137d10a0', 'ae55f82e5c275523', 'a02173ec86dae4ba', '1675958d1a94603c', '8234e036ca5e340e']; context = [[87, 155], [4, 69], [6, 66], [1, 71], [39, 113], [46, 121], [88, 148], [7, 62], [46, 98], [75, 132], [6, 58], [8, 64], [1, 58], [13, 82], [2, 58], [3, 80]]; loss = 0.012473 low_pass_filter = 0.300
+Epoch 0: | | 30739/? [5:48:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 30740; scene = ['759e2542191f378d', '73f43de5db04dfe0', 'c2c821787e56e360', 'a46ec935d9160aaa', '118615819dc51e02', '1d6ad87563cd4ca0', '2c6919b0d8b416b0', 'b559a169a37a3e2d', '74c52f40a18abe89', '0760a2a0492ef091', 'eb47853e5d196bac', 'b8a6856223d747d1', '9adec8c032fcd83f', '61192f0214d4d354', 'fe8bff5ab1ce6145', '8259f4960285162d']; context = [[81, 152], [146, 213], [5, 53], [31, 93], [0, 41], [13, 82], [12, 53], [27, 76], [196, 249], [154, 224], [65, 127], [146, 188], [179, 224], [21, 77], [33, 93], [20, 71]]; loss = 0.010525 low_pass_filter = 0.300
+Epoch 0: | | 30749/? [5:49:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 30750; scene = ['1cb7b534b1a82b02', '9b36cd244baab44e', 'e20f3440223cbde1', '82ba678c941b6578', 'd5a86126a4e39e7a', '07790cb4884e1502', 'ddc11c891f471dd0', '5649070bc0083d83', '12e85fb6e140ee85', '43e59b21a3805c73', 'c3d6a82b60bdfc35', '837a853e726c6ad2', '7d697ca690248324', 'cdde30f3352829cb', 'd83580d64d62f887', 'e7222b23037f83f7']; context = [[52, 112], [9, 79], [11, 67], [58, 110], [155, 214], [29, 75], [105, 146], [2, 43], [55, 100], [229, 274], [5, 46], [3, 72], [125, 198], [16, 74], [49, 114], [84, 140]]; loss = 0.010055 low_pass_filter = 0.300
+Epoch 0: | | 30759/? [5:49:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 30760; scene = ['de389793b2411ed3', 'dc7049ad80e43f68', '283653f302cda895', '54b4679cff88a6e7', '22aabb68991097e2', 'd6df31b91d86f26a', '8926ee7e50292e45', 'f53ae42fd04748b9', '24a1a6c52a633727', '19c383ad9f21d0d3', '695a0b84b4897787', '760b7d4422f20505', '0cffc79651746ff3', '57175f0ed3caaab0', '3bbe67a40f903aa2', 'c2cdb9a6527a06b8']; context = [[73, 144], [30, 108], [7, 68], [144, 208], [83, 147], [110, 164], [10, 51], [65, 122], [16, 83], [63, 133], [20, 65], [25, 96], [59, 107], [159, 225], [29, 80], [69, 122]]; loss = 0.008737 low_pass_filter = 0.300
+Epoch 0: | | 30769/? [5:49:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 30770; scene = ['06f0d295c0618b29', 'c07ea4ff919e5f92', 'df6d924afa10c79d', '2f14ade8275798af', '843e35674433ecd1', '8afd5d2eba4c6bcf', '6d766316bf6164d8', 'dfb5c99dbddb203f', '9ee04fc0893141e9', 'b9760b24420bb8bc', 'ae8b6f4dee0413bc', 'c6b938515500f5ba', 'e90b1b1f508baa0e', '1175385ea6249669', '515065d21eb01030', '95e545a3708a9f60']; context = [[24, 66], [78, 121], [100, 169], [10, 82], [21, 65], [27, 77], [35, 84], [0, 51], [0, 54], [113, 173], [0, 67], [61, 115], [32, 81], [24, 70], [8, 56], [11, 65]]; loss = 0.011609 low_pass_filter = 0.300
+Epoch 0: | | 30779/? [5:49:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 30780; scene = ['bbaab11c9da5fa23', '5a270baf5637e008', '67cc43badf38da40', '82bc67c1ccff631e', '34dc2fc97f0847ec', 'f9eb323d5f901122', '0524d3d2e823ed7e', '36ecd2c090551e5b', 'fc454ba4fe081bcf', '7715e2b33306ae7c', 'fe5c3e12d699d77f', '991950cbc1228573', '8c4e0111b36af46d', 'a5572e0144dfdcc2', 'e2ad007f157fce09', 'a4b502cb83a02b68']; context = [[22, 75], [11, 89], [25, 85], [73, 120], [4, 78], [10, 66], [28, 86], [32, 84], [1, 55], [123, 196], [49, 119], [176, 231], [13, 78], [35, 95], [26, 84], [0, 70]]; loss = 0.011214 low_pass_filter = 0.300
+Epoch 0: | | 30789/? [5:49:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 30790; scene = ['4380710fe040e93e', '152ec9bbbb4d13d2', 'cfe3727abb3eb83a', '97052983913580e1', 'f3ed8d2562b3bb55', '70e73cd89c3a3cc9', '51723a3c78e7e420', '2ba622b78fc4569c', 'b3ce0a1b64b915f9', 'b6efb653209b341c', '1198c875e8b58d45', '23317565a1d37489', '5d09191618df4e27', 'c78fbc4042f91358', '8c491d4e4f409c56', 'ef03ee83ae08d3ea']; context = [[80, 156], [5, 66], [18, 91], [4, 52], [27, 82], [11, 80], [10, 68], [4, 71], [77, 149], [116, 185], [37, 102], [3, 53], [32, 101], [15, 65], [37, 104], [13, 64]]; loss = 0.011626 low_pass_filter = 0.300
+Epoch 0: | | 30799/? [5:49:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 30800; scene = ['244f77df7b4aeb64', '08995d12c844a39e', 'a5989d5f9f66c05e', 'e0ca570de3d5244f', 'c358c22b6dacdaef', 'f38d65464a5edac1', '9eb26a1771bdc736', 'a1d3f2e765955d2d', 'c7afa69038025a01', 'cafb5c4d141984d0', 'e100c11918671a33', '0bba94b8d4c22eac', '56a3cab917fb2f23', 'dd086087400ad408', 'd412ad2f6f4b6e07', '5b64b5760c7503f3']; context = [[11, 82], [27, 71], [12, 71], [94, 155], [29, 73], [55, 107], [1, 43], [60, 107], [6, 70], [104, 168], [22, 86], [15, 57], [43, 119], [1, 78], [36, 95], [3, 55]]; loss = 0.011590 low_pass_filter = 0.300
+Epoch 0: | | 30809/? [5:49:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 30810; scene = ['2d9c1a7e8547c7f3', '9695907dbf989efe', '594abec0005340e8', '55547de472ec6dc0', '6e66c457e475a239', '525228f8d23ba3c5', 'fee419913751e69c', 'b5a5332b0270c905', '4b2f7bb82caea25a', '4e421f437623583f', '419ad326be6abaab', '7db6add2937e3476', '0f71375e8bc5f854', '6212b6c618036592', 'b6bc2793bbe942c7', 'af036de282b85051']; context = [[5, 50], [161, 214], [8, 67], [8, 50], [0, 54], [2, 46], [5, 63], [22, 96], [7, 77], [193, 267], [17, 63], [23, 95], [41, 88], [149, 204], [9, 81], [230, 278]]; loss = 0.009458 low_pass_filter = 0.300
+Epoch 0: | | 30819/? [5:49:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 30820; scene = ['c4a0a83c57a88c2c', '63a8ae5fdd8d4ef4', '87e1fbed34285e0a', 'decd3a7b741163f3', 'fbb1b75783056c76', 'b620ffb62a299ec1', 'b0d138fdee349f71', '0e6c59e9cacbe147', 'ca8c1158ff1714b6', '8387b3316a67cfeb', '83da596fda844e13', 'bed50122582298d6', 'c8a73564d8b4de57', '53aeb61ed80422d1', '7fcfbbf8ce73e9f2', 'f3240c7519b47306']; context = [[31, 78], [8, 79], [24, 100], [13, 65], [8, 65], [18, 66], [0, 63], [10, 63], [55, 114], [1, 42], [6, 66], [39, 107], [82, 143], [4, 50], [70, 140], [8, 81]]; loss = 0.010004 low_pass_filter = 0.300
+Epoch 0: | | 30829/? [5:49:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 30830; scene = ['d75c6d4a9b90264e', '91ae7aa8ffd1cea6', 'd42efb39cd972a19', '1663112dd64c920b', '8c7200b306fdf9e1', 'd9590036ff6fd866', '18152facf0d07c56', '257e2910b28b2b2b', '13fb6dfffa691232', '7ceaff866deb1fe6', '2b429b35c3c77565', '24f2a4aa9a450e96', '401392cb1a6898f4', '06e2a44e9e78709f', 'f5f030f093af6b26', 'cee85cd29d8808d6']; context = [[4, 55], [57, 102], [31, 108], [139, 198], [14, 58], [10, 71], [19, 95], [18, 61], [4, 73], [6, 62], [19, 90], [83, 126], [167, 229], [33, 82], [72, 133], [36, 91]]; loss = 0.010901 low_pass_filter = 0.300
+Epoch 0: | | 30839/? [5:50:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 30840; scene = ['eb8ffb027521cd3f', 'b731f727dd51f5ac', '6cdd423fa03d121a', 'fe949482103cc3ff', '12e062f03f2e1ed5', '44fc5677e722caaa', '5ca6e5592a9360bd', '6c3ca5d5638ee27c', '75d0af62ff6d8a99', 'adc0361ca9865797', '8fcdb1d163e2082d', '4d2f018694d151db', 'cf0f04664365920b', 'ac53955bee2ad533', 'b85b9e575ba37be6', '84b0d7afb0dc1068']; context = [[117, 195], [65, 127], [29, 76], [4, 70], [113, 165], [17, 88], [34, 91], [189, 266], [67, 142], [103, 174], [1, 42], [129, 199], [32, 89], [1, 69], [119, 188], [13, 54]]; loss = 0.009399 low_pass_filter = 0.300
+Epoch 0: | | 30849/? [5:50:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 30850; scene = ['c8352778f6f46fd7', 'c3b965a5e39ef192', 'da8524b25e4dc8de', '90a88f61bf407368', '027c1f8fdd9ddf10', 'e8bcc2e3fa0b3809', 'e106861cc56406aa', 'a40d0c82b3ccacb4', '995cf7faace19c86', '92c8e9d454349b35', 'f9ca9a22dab95c1d', '6bc24ef0e784d244', 'd0c5d78a6d833bda', '2fcde6f2b5ac4db5', '76f02583342a49fc', 'dfb8798de06ecf3f']; context = [[19, 61], [58, 136], [129, 170], [43, 97], [46, 110], [190, 267], [47, 97], [5, 76], [215, 264], [3, 75], [4, 73], [24, 73], [193, 265], [0, 55], [78, 136], [23, 84]]; loss = 0.011192 low_pass_filter = 0.300
+Epoch 0: | | 30859/? [5:50:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 30860; scene = ['61e3c3e1421e1aa9', '3bca9bd0b5f7113e', '8be4cc3c5d1ecc42', '4fc6848542c0dd7c', '0c7f4298ec3f892e', '97e66229327692ad', '5d250a0bdaee3653', 'a55c5825e25b380a', '302ea811b8794cb1', '3b4b2b3ef0219aee', '981ea5a0178ba974', '203dcb5778d83f66', 'd7fa9860667bd9b9', 'f91c62cbc0f2b02c', 'ac7dc6792b6062ba', 'b0b372ac64a28928']; context = [[65, 129], [201, 253], [2, 73], [5, 68], [138, 189], [3, 68], [10, 52], [37, 101], [218, 261], [8, 52], [59, 127], [3, 81], [216, 270], [41, 89], [88, 137], [3, 72]]; loss = 0.012233 low_pass_filter = 0.300
+Epoch 0: | | 30869/? [5:50:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 30870; scene = ['156a99bdda94ab15', 'd02f8cad1ec64f2c', 'e58f27f45d7cce3a', '7c5f2a6693417896', '6dae04908285c48b', '5e924b8c9d7abf31', 'a89d49837b7303c5', 'e432d8c790cca366', 'b0b276251c83bb91', 'b9c46af1909b96a1', 'd70da7618ad91f13', '086d3516db9b7109', 'c2e9139a0b8292bf', '5fec93795636099b', '6c0bdb5e8e11f0de', 'a96149035e0625a4']; context = [[23, 76], [34, 106], [148, 194], [207, 249], [12, 74], [112, 176], [82, 152], [62, 123], [86, 154], [1, 69], [0, 44], [21, 92], [15, 57], [10, 80], [77, 149], [11, 78]]; loss = 0.011864 low_pass_filter = 0.300
+Epoch 0: | | 30879/? [5:50:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 30880; scene = ['fb9876fcf87bd435', '0c3a4203b6965291', 'eca8bb9b86725710', 'e1209d28a6625e83', '89688b095738c643', '08f3bfbc5bd0a438', '2443607afe3596b2', '95f1c90080b4d6a1', '2436a7535acef810', '59f826743517b9c7', 'b2002f67cd58c3f3', 'c8be2a65ab3523bf', '1368397e2dcceed5', '586c40e55dd9917b', '44ca078432802942', '5f204ad1cc82ddaf']; context = [[2, 52], [5, 52], [11, 58], [38, 114], [13, 68], [33, 82], [177, 229], [9, 65], [37, 107], [38, 87], [2, 55], [2, 46], [8, 57], [4, 76], [37, 84], [55, 116]]; loss = 0.007915 low_pass_filter = 0.300
+Epoch 0: | | 30889/? [5:50:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 30890; scene = ['325f0d952af7be66', '8051aa7029dcfd9e', 'fbe6e2473b2cd36b', 'dfb361bb71a80673', '10d2462c4956b400', 'f6648599cc90bba1', '17ac7173703a0492', 'e93c17ff47b5f91e', 'e4beb47b3efca0c2', 'e161f89081cda540', '4086b56fb5de6a43', '772a99d24181bab5', 'b6aeea13000a0e65', 'e1a16e9c4b3e53cb', '78fdc7f3dc172dbd', '16bec92b78086484']; context = [[28, 92], [4, 48], [52, 100], [87, 141], [78, 134], [121, 180], [59, 126], [0, 55], [176, 247], [17, 94], [0, 41], [82, 143], [180, 244], [4, 80], [1, 46], [0, 46]]; loss = 0.010981 low_pass_filter = 0.300
+Epoch 0: | | 30899/? [5:50:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 30900; scene = ['004f2522f3d42f94', '81c13db7794eeec8', 'c07c3b338ce22c3d', '2c842bb91ad229b5', '3f718ed2439aa1c0', 'de1221dd6506c5d0', 'f4559e045f3090e2', 'ae102f2e58ac735b', 'd7ab125bec64362c', 'ae13716dee49ec9c', '868bba780260c9d8', '38d897635c61c8c9', '81eb6c7798c391a1', '5e56cda42b8a9d7b', '9c6ef1e78270e053', '276a13f09ec9a0dc']; context = [[117, 162], [78, 123], [31, 74], [5, 81], [17, 61], [30, 82], [23, 79], [16, 70], [22, 78], [174, 243], [7, 77], [5, 76], [10, 74], [1, 44], [29, 102], [92, 135]]; loss = 0.011748 low_pass_filter = 0.300
+Epoch 0: | | 30909/? [5:50:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 30910; scene = ['a8721e585f04c0d9', 'd6cbf06455a161e9', '7f6a3a9c5cb0aa56', '06abe63d93bc1293', '86713b2ff209a590', 'd3ea0da9ec0d6d1d', '55e29423b38878b2', '6320f8f8c0cd9ffa', '48590f55d3a36491', '8ce5728c7aae2302', '9d13d970ed008381', '32e8c162218922ad', '06ed257e33ae67f5', 'e98d838758c7b400', 'c12a1f3bda8f533f', '7a6899ae0fe7b2e1']; context = [[19, 79], [114, 183], [75, 117], [1, 73], [8, 54], [49, 96], [0, 52], [17, 84], [172, 222], [3, 45], [144, 208], [19, 76], [44, 121], [32, 95], [27, 105], [28, 75]]; loss = 0.008489 low_pass_filter = 0.300
+Epoch 0: | | 30919/? [5:50:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 30920; scene = ['afc8e955b8c9517a', '6bb5c60edea6cfbf', 'a539cdd0182bcc7b', '72a9c61ce291388d', '4ac2a29fadf3852d', '47bbe5be6d1a1faf', '9a7592ed3d928a81', '1c3978a2a10683ed', 'e806c8996c08edcf', '42dbc601fe2ef235', 'efbe907be10f9dc1', '40afe34a720b2555', '35d21e2bd3e505be', 'b4129ddd2e8d9ffb', 'b123704b82a98e73', 'ba7bebabc6b4f278']; context = [[17, 80], [1, 42], [59, 136], [57, 102], [7, 63], [36, 85], [30, 85], [25, 75], [127, 182], [40, 111], [31, 107], [8, 66], [15, 64], [1, 45], [129, 197], [22, 80]]; loss = 0.011994 low_pass_filter = 0.300
+Epoch 0: | | 30929/? [5:51:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 30930; scene = ['f01c5823afd06b8f', 'dcd8192614eb6df6', '8ab06b946305e748', '47b06bf4257e2e6f', 'e47853cf56368a5b', '6f4fa4d46828ff39', 'c8af8613f643a65b', 'ed981652ad74f345', 'db13eec5ac6b1c56', '6e3772dfbac86778', '3c3e1619744887ca', '72101c504a4c57d4', 'd8d2bdf1e73f63fe', '3604d95a480cfe31', '510e05e121226e7c', '3055585671a8da3f']; context = [[24, 102], [49, 101], [5, 46], [29, 76], [22, 84], [48, 105], [212, 263], [2, 69], [6, 72], [71, 148], [119, 177], [54, 109], [41, 113], [0, 51], [2, 73], [65, 135]]; loss = 0.011715 low_pass_filter = 0.300
+Epoch 0: | | 30939/? [5:51:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 30940; scene = ['bea43630a34a7d1d', '4ef18be85faf6cf4', 'b5c6a9eb31608879', 'f89d66011d728f21', '2ddf078ebe289075', '7f85e2eaf1461d09', '6dc9c8f3d2f53384', 'c17e5a0f4b70ddfb', 'd810a0fc73549bdb', 'a47b0cb2689fce05', '8d0f46f4f1a0fd8e', '22d9cbefa3ad1b62', '1f4e65a2b3e515d8', '501a6d9300cc8476', '71e569007889ec0a', '2e5bdbb0f8059c45']; context = [[106, 168], [155, 207], [78, 129], [167, 215], [77, 125], [11, 56], [70, 119], [74, 137], [3, 69], [43, 121], [8, 49], [134, 194], [6, 72], [112, 166], [1, 46], [39, 110]]; loss = 0.013219 low_pass_filter = 0.300
+Epoch 0: | | 30949/? [5:51:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 30950; scene = ['a18e1a568b0b71ec', 'e3163ed6369a0cc5', '1ccf8e66b3204773', '3421821e39949234', 'c29d5f58f66a9102', '1bd50f99c461fa1e', '61e3f2a90af611b2', 'a2a4bb9b88e3f271', '2e42cb5881b4a406', '32f5d4268f84fbd7', '3354fd1e4ed18583', 'e5406e09b4bd291d', '31b5f9e254a8bded', '01199e81be41c98a', 'a908c16e18bef0ff', '7a92b127f35b7a6a']; context = [[204, 255], [42, 99], [44, 118], [61, 112], [22, 76], [0, 44], [0, 45], [85, 135], [117, 194], [4, 58], [99, 147], [25, 81], [1, 77], [122, 200], [28, 84], [0, 58]]; loss = 0.012118 low_pass_filter = 0.300
+Epoch 0: | | 30959/? [5:51:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 30960; scene = ['28ea6096b062a3c4', '623f0cd8db399bb3', 'd326c36a1f07eb95', '65a6c20a8ea9f4c9', 'eb40aaecc4b724ab', '6e1dab31049b93eb', 'a050bb08dbd32be3', 'c0af5ed42bc049ee', 'cadae2515c0083e4', '75b739724bcf0f74', 'ccaac6fcccd9da08', '7e943005dfaafdc4', 'b4084b424f1e1a80', 'c30ceef53fe9f55c', '4881f7066e1c8c91', '627e3c3515df5daa']; context = [[21, 84], [3, 45], [19, 88], [19, 64], [42, 107], [3, 57], [66, 119], [27, 78], [2, 62], [0, 42], [19, 83], [180, 227], [21, 90], [0, 41], [7, 56], [15, 60]]; loss = 0.013257 low_pass_filter = 0.300
+Epoch 0: | | 30969/? [5:51:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 30970; scene = ['5c2bcdae45b3b7c2', '7bc72ab83e1ddcce', '884815c3ec6119e5', '21e2e9ad21492fc4', '77b9d40d5d9278bd', 'b1da72d206686bec', 'd67e551cfc3f6a4a', '9db5d6f52db8ebca', '16b14534c3561c6a', 'f6c0fd481ddb84f4', 'b210d777c3b1b8db', '03a8cb9065084812', '97ce213c42aafa55', '299452d01e7e3684', '1f9d4ff0ee12db50', '575b15967a383d40']; context = [[36, 114], [73, 124], [6, 47], [60, 105], [81, 128], [41, 117], [4, 47], [49, 127], [54, 105], [0, 41], [169, 244], [0, 43], [2, 43], [77, 133], [155, 216], [8, 60]]; loss = 0.008152 low_pass_filter = 0.300
+Epoch 0: | | 30979/? [5:51:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 30980; scene = ['9a53d1c17fe9886e', '79ed99e48b88be06', 'c79455fedb06f07e', 'dddf255e4417171d', '8fd4563fc4ad666b', 'f9d6fd21c2364932', '3de0aa44194c37c7', '16eff43540f42046', '891618b015a26c95', 'd2ba10930fe34ee9', 'a744fdc585769a4b', '5d21b42ceb929377', 'faea448f2b4288d3', '9fe032b64b5b91df', '40d6b441889e1124', '562335093bc96094']; context = [[106, 176], [174, 226], [0, 58], [88, 136], [1, 48], [152, 212], [122, 166], [1, 68], [36, 99], [26, 92], [7, 52], [12, 65], [6, 50], [31, 75], [1, 69], [8, 83]]; loss = 0.010583 low_pass_filter = 0.300
+Epoch 0: | | 30989/? [5:51:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 30990; scene = ['3c4bc72a79c67319', '8106401c3015f193', '29ec1cdce3773212', 'c4874263cf3db05d', '46b6815db9c390d6', '549110453313554f', '0ee698ea63df4fbd', 'eb0ab00754559fc2', 'f16e17b3760c6621', '8d1c21696859cfa4', '57ab998454402e4b', '491b6e80ec6e3f6f', '57f08b58536b695d', 'e3e1426981836ca9', 'ed8d1829b15314e6', 'a3425c7fb9b40192']; context = [[9, 82], [46, 104], [66, 125], [13, 61], [16, 62], [30, 77], [7, 48], [37, 88], [53, 113], [1, 56], [92, 148], [22, 70], [15, 61], [29, 78], [102, 180], [72, 149]]; loss = 0.010194 low_pass_filter = 0.300
+Epoch 0: | | 30999/? [5:51:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 31000; scene = ['7cec1efa34eebb2b', 'c3ea88797ba49d4a', '695a69f73b976dff', 'fc6915f078c99c53', 'f5b6c988d6461e03', 'e7428d7ad0472a80', '2e904050b495396f', 'cfb684150c0d3084', '3b0eb3d75bee5a3c', '6699bdc07abafaf3', '2d91d0f623819b59', '2ab7191767060703', 'a326c1789c4252c9', 'fd685a5cad0a5de2', '2139caf346127018', 'cec246dd08244706']; context = [[5, 59], [6, 75], [24, 85], [6, 52], [13, 83], [44, 88], [29, 93], [27, 86], [11, 69], [1, 52], [105, 159], [72, 118], [77, 134], [7, 80], [194, 256], [129, 204]]; loss = 0.010598 low_pass_filter = 0.300
+Epoch 0: | | 31000/? [5:51:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0validation step 31000; scene = ['7958600c70ee8a9d']; context = [[39, 81]]
+Epoch 0: | | 31009/? [5:52:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 31010; scene = ['5376cc836571e8d6', 'ef37be4851962545', '809658c303767e17', '37d8d38f0ac90651', 'a7cdd9d5e6221d68', '9bff32f6dc3defea', '29caaff58a530496', 'aa809e649155f86f', '95944b694ab2fe24', 'b06d8179dc790851', 'a2c3934b695a1514', '1f1744b617eb9080', '36752f8fe51ec622', 'c18059287117dc42', '30ad1d6e17b4922b', 'e1cdd73fcf663dff']; context = [[90, 146], [56, 124], [48, 92], [0, 45], [11, 65], [38, 104], [0, 43], [181, 255], [80, 149], [24, 82], [47, 112], [48, 122], [171, 216], [27, 75], [20, 70], [0, 64]]; loss = 0.008469 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 31019/? [5:52:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 31020; scene = ['85ccc785967a3105', 'd204a75d5c724077', '9d225d862634015b', 'fd2dfd73f01c7262', 'f36ad32e649117b0', '6eb91624364aaa65', '07659a0418a472c8', '5258ae529f43e083', 'd5835fb2f9cdf90d', 'ed4f0b586c17396f', 'b971447d48d42607', 'f8381fee65a4081d', '64d626f25eedc00c', '9baca1fb56d285e5', 'e3c4633a7dae9e7f', '4b8b2a2c1a9fed56']; context = [[51, 96], [5, 66], [95, 142], [28, 93], [0, 61], [48, 116], [18, 64], [1, 45], [92, 138], [27, 104], [8, 76], [91, 141], [220, 264], [42, 95], [22, 70], [0, 65]]; loss = 0.009878 low_pass_filter = 0.300
+Epoch 0: | | 31029/? [5:52:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 31030; scene = ['5ffc4b146d257165', '91c5409da74ce91f', '82540acbe82766f8', 'b5fb28b030ea4b59', 'c3dded599b909ae2', '39471e2adb4414ce', '09fd211b89bd6521', '2a879367c6a68663', 'c12c65057bc900bd', 'eabcce6ee6da5414', 'cccba3d6888f0e55', '927a478ee4bd431a', '02e3bcaee841305c', 'c6bf775877e6b91c', 'c0e5cfa6c1302f81', '32e9d44c0fefae3d']; context = [[48, 100], [165, 209], [54, 116], [169, 223], [0, 56], [201, 273], [39, 103], [84, 138], [186, 249], [101, 149], [83, 127], [90, 153], [88, 152], [97, 156], [17, 73], [39, 114]]; loss = 0.009951 low_pass_filter = 0.300
+Epoch 0: | | 31039/? [5:52:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 31040; scene = ['443f21df464db8cf', 'c715668eed2185c8', '9fd3290cb9824a73', '3490d69bb9b94e04', 'e57e823e91ecadc1', 'c2289c708c7f0629', 'a4f23e07467a01f6', 'bf80a0c4f9a745ec', '44c693695665aaa2', 'ff6db2e6978774e3', 'a9f37c71b1b5020d', '4ff236b2462faf59', '04de8393f28baf2f', '8ce487e5f7832de1', '293fd741a4b1418f', '910ea84fe04de798']; context = [[50, 117], [102, 177], [24, 66], [102, 150], [4, 66], [0, 61], [148, 224], [2, 63], [21, 76], [17, 66], [20, 69], [8, 68], [34, 105], [124, 193], [155, 212], [16, 64]]; loss = 0.009882 low_pass_filter = 0.300
+Epoch 0: | | 31049/? [5:52:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 31050; scene = ['bcf299393ee2171b', '43e6289d0f0921a5', '918bd53dd8ca7271', '817e228e9c74d745', '90d70bc4c159efe2', '0777febffe7c2d96', '035cd2c68a13badb', '794a82e0519160c4', 'e3bca018a714db69', 'f7c3b63d80925cd4', '893335afc78c8685', '230dcd170cc900ae', 'de665a63685bdac5', 'c7c0c51904557bfe', '38912229bbad2408', 'cd99f1324c190187']; context = [[64, 105], [2, 53], [8, 64], [5, 57], [4, 58], [83, 128], [37, 81], [2, 71], [39, 104], [82, 129], [39, 91], [156, 228], [126, 182], [36, 99], [155, 219], [0, 41]]; loss = 0.011982 low_pass_filter = 0.300
+Epoch 0: | | 31059/? [5:52:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 31060; scene = ['421f5f08654eeb52', 'b4c0a296374e37e6', '8bd5cb1a874d6fb2', '26cbeb9c90a8c39a', '6aa0dcada008156c', 'd28280a7e6f82721', 'f53a324e7aab70d3', 'ee89c7384cdb8971', 'a8c36697aa4bea80', '9d6350a3fac739f0', '38c12a529bfad8b5', 'ad4b81bb89bc6525', 'deb6046f6f2ad343', '8cd78babfa1f6285', '55c617bb076c3461', 'a8308ce726296b25']; context = [[42, 113], [18, 81], [47, 112], [1, 68], [19, 62], [69, 123], [0, 61], [60, 133], [7, 61], [3, 67], [6, 72], [64, 129], [51, 105], [11, 66], [13, 68], [25, 93]]; loss = 0.009248 low_pass_filter = 0.300
+Epoch 0: | | 31069/? [5:52:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 31070; scene = ['4e43f52092ef6306', '7374cc80de8a5479', '181c6124dfe721de', 'f4f6fee80c36721e', '1157e06fc0b745b3', 'ca944899e14d4799', '00b31f903ceb11a8', 'a5207b8d6b307bab', '3b57ac636da7426e', 'a5812ef0bb0bc156', '4c3e1a9242e4bb83', '1237fe7b4b2ac7f6', '5eaa519bafc221d1', '422d26887c24af8f', '4a33995db5dfb77a', '146ab7cfd6c40080']; context = [[87, 144], [8, 76], [9, 62], [200, 266], [10, 53], [2, 50], [14, 65], [108, 152], [16, 81], [1, 53], [7, 69], [51, 104], [74, 131], [61, 133], [21, 65], [96, 144]]; loss = 0.010048 low_pass_filter = 0.300
+Epoch 0: | | 31079/? [5:52:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.70, train/active_min_children_step=4.0train step 31080; scene = ['f9835f45bbc6a4fa', 'd9743a1e2ccdbe4f', '188274ebf887bdc6', '85f4c57627a479a1', '3e74bba8632c9324', '3f3f6bbad755230f', '913bc26ba7d3afc5', 'd0db77f773444638', '4ad8aa55f3b300e2', '72af17dcf2eba0cf', '4276394e8565d036', '4b3e117d4f50b167', 'e197531346c5f079', 'df4e1717577f82c1', '541d8c4da94d9047', '4b67e4f68e085f45']; context = [[26, 80], [0, 42], [4, 76], [49, 102], [51, 125], [48, 126], [5, 59], [88, 156], [20, 76], [29, 90], [41, 92], [2, 64], [10, 64], [63, 121], [82, 128], [9, 50]]; loss = 0.010481 low_pass_filter = 0.300
+Epoch 0: | | 31089/? [5:52:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 31090; scene = ['6c0e4126b5d4e92f', '8ecfc78b396022f8', '568574ce26f78d2d', '5d2c51639483b85d', '0d401f1b0cb3d6d0', '8a5ef9fcbbbd0715', '75cb938ef32ffdbf', '4f56ecc3ff0e7b5a', 'a9139b3b3fda05b5', '99e54f5d33ec0f09', 'd4e43250c96c98c5', '3493d0e1fde910f1', '3a54044fe7cf177d', '077972a0fc9c4962', '7e43b61bc188c129', '2fd2e724a6a04576']; context = [[38, 106], [65, 121], [9, 81], [5, 76], [176, 246], [26, 99], [10, 51], [42, 101], [169, 230], [4, 73], [152, 229], [0, 53], [77, 131], [10, 73], [84, 132], [39, 109]]; loss = 0.010565 low_pass_filter = 0.300
+Epoch 0: | | 31099/? [5:53:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 31100; scene = ['0eb636ce2b575fbf', '163f24b2f0443e8e', '0c293d0a8ef0d3aa', '0b8f2051807ee7dc', '499d86e3dec59f3b', 'f8166f21ce9c4e10', '5c907b99b4003976', '4aef5d4b9287e08a', '8db516061dca4e75', '5b86537af9058e2d', '7e90b94157b6f2f6', '78bfcb719521a42d', '9fce6892002b07be', '664bee14eb38844f', '31ac7622b76950eb', 'e1114da18e84076d']; context = [[51, 108], [35, 92], [27, 93], [97, 144], [94, 169], [1, 62], [138, 188], [56, 101], [117, 194], [3, 56], [54, 122], [10, 60], [51, 114], [54, 119], [7, 66], [18, 70]]; loss = 0.014419 low_pass_filter = 0.300
+Epoch 0: | | 31109/? [5:53:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 31110; scene = ['a6e9da5f8ea25c34', 'c03dae8d29e59980', '8bf81bba5bab3b3d', 'e90baa038f233699', '740c1fccd9bf4e71', '59ae4ac63c0a11df', '32b8efd8ec5394cc', 'a31126062d4f7523', '30c73eeac2721d1e', '7e8c9830537de3fb', '8c2797e7eb81c6ad', '0d8ee00c443dfbcc', '4491a520e2ef3b25', '2403255d91f4108a', 'e18a4b06e5cb8d8e', 'bba9c4e1979810b5']; context = [[29, 99], [26, 102], [102, 150], [21, 68], [21, 77], [0, 61], [57, 106], [178, 237], [11, 65], [30, 102], [1, 65], [64, 114], [9, 67], [108, 180], [12, 55], [0, 53]]; loss = 0.009592 low_pass_filter = 0.300
+Epoch 0: | | 31119/? [5:53:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 31120; scene = ['18569e146ef810c9', '956da09524afb029', '30a0d868659a463c', '185c62b6e5987061', '0d84f49089c8d865', 'e569151c181805ef', '83cf02966f5f2d89', 'b89e7d0efbb85edc', 'dcfdedb838bddcba', '20a3585f1eea662d', '933b02e03030a30f', 'e105f9684d242932', 'fd7dda2e73e2ad17', 'e3004ab618aa0b49', 'b88b281f64f2c095', '6b4e967ca81ba41a']; context = [[42, 96], [33, 91], [30, 76], [27, 69], [8, 77], [55, 107], [3, 62], [0, 70], [4, 60], [123, 196], [1, 50], [4, 59], [12, 89], [103, 153], [2, 78], [5, 62]]; loss = 0.008664 low_pass_filter = 0.300
+Epoch 0: | | 31129/? [5:53:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 31130; scene = ['ca80b6da89913682', 'f300d1d7a9d5cfe1', '80851bab9af75349', '45cf7b4826be3134', '4207745c5903a0d1', '3bf83c412718628a', 'abc03ad39b4cab48', 'e4854b3832ac68df', 'ae86930f92675dca', '3e9d3d26ac255668', '9a00aa8f9df87b1a', '0ec48a37112f16b7', '085bbdccf18be34a', '6ebf575b0e21327c', '6bd933145a749fe6', 'ad18e9faeddc436a']; context = [[7, 74], [38, 112], [12, 90], [29, 105], [1, 65], [52, 101], [98, 142], [111, 173], [72, 147], [13, 54], [0, 53], [0, 41], [40, 107], [0, 42], [24, 88], [188, 258]]; loss = 0.011141 low_pass_filter = 0.300
+Epoch 0: | | 31139/? [5:53:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 31140; scene = ['3e6ad322429b2653', 'acca2e0a5d9ab19f', '8a5f209051718c6a', 'b23f88ded1485280', 'fe3c04bb10b12d55', 'f591700701a47d5f', 'db7acf41e2eae053', '6c6b3b3306463e7b', '9b725ca4c733554a', '45cafc07dfd1b496', 'cd7355ffcbc5a2f5', '90154d62e0ff4873', '1f4d538755177e00', '4b6a5e64589eac64', '3f16b9bc98aa0bef', '88160304638cc7b3']; context = [[0, 55], [5, 48], [78, 138], [5, 79], [55, 107], [77, 142], [9, 80], [0, 41], [183, 256], [12, 84], [32, 74], [34, 112], [12, 65], [75, 124], [47, 95], [3, 80]]; loss = 0.010505 low_pass_filter = 0.300
+Epoch 0: | | 31149/? [5:53:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 31150; scene = ['1126a0bb6917521f', '483642b8e30a8860', 'a7344e0356bfba18', 'd378db422fda516e', 'c31c5aec6ca52a0f', '2d41ec8c58a78215', 'ce638637eab9cbb2', 'a39de974d72b88b3', '6f4f54d89383e1ba', '70e09b2da21c935c', '2a28036d98f5a42d', 'ae9b392cb1d7be26', 'fe05283c708c2589', '82ec470a4ca4778e', '3c5eb41e4d944e23', '1f1a57dd8880fd7f']; context = [[58, 119], [3, 46], [36, 91], [13, 60], [2, 45], [11, 62], [35, 77], [39, 92], [79, 141], [4, 64], [6, 84], [21, 73], [138, 184], [22, 75], [7, 80], [118, 185]]; loss = 0.010614 low_pass_filter = 0.300
+Epoch 0: | | 31159/? [5:53:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 31160; scene = ['40ebc8fc8a219332', '67009e5dfc183120', 'dca066bd3cc2146c', '09822be1f5e3933c', '7788c075e21e862d', '5c88ff05f51279a4', '3fec42c6570a70d0', '437b5b7a2fe26b67', '0b95756523e57ef9', '1fef55c7753f1cce', '4f768e705a9c812b', 'ef788a2216895f19', '26e89c85acbd3466', '078b712f247875c4', 'f0f9dc20febf63c6', 'db3b613d2dda8b86']; context = [[16, 71], [0, 56], [28, 71], [131, 174], [7, 52], [25, 95], [200, 252], [3, 66], [7, 65], [102, 166], [2, 55], [92, 161], [4, 78], [16, 61], [124, 166], [1, 45]]; loss = 0.012205 low_pass_filter = 0.300
+Epoch 0: | | 31169/? [5:53:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 31170; scene = ['f3cacfe3ffeb7f0b', '65de107f6b39ec37', '0fbdb79a21cca427', 'bfe25c63d7a31e6b', '37f65c5095d23a9c', '2fa209588a926720', '0fadc51c617e61f6', '30993d0572bc5c54', '05caefb6550250b0', '069c4f8d7a3225b4', 'f6b4c51274377db3', 'a191c34eb75bbaec', 'f1a7d46e25785471', '69a6e3951e138ca8', 'bd834d7c62374c59', '63ea3195b2c0c4ba']; context = [[50, 97], [165, 221], [6, 49], [7, 49], [9, 64], [83, 151], [0, 44], [72, 119], [21, 96], [23, 90], [0, 63], [5, 77], [63, 111], [4, 78], [6, 71], [22, 82]]; loss = 0.019584 low_pass_filter = 0.300
+Epoch 0: | | 31179/? [5:53:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 31180; scene = ['404cc5a0fd0a2131', '8fc6704ed8465c3f', '68770b0db8ad1d3b', '80773003e0a7eac2', 'b7edd79abf6abf18', '4697c4de453f4c04', 'e60114b10c6a70e5', 'ee09ae34a0720fac', '5d38403bfc1e7822', '2e3b7c0955984c0b', 'dda981c3412b8d91', 'f026c8f1c91ab212', 'ddc82d6729858305', 'e1a1987653f0f30b', '5733a66e97c4493a', '9d11c0c1b866f4ce']; context = [[14, 59], [8, 52], [15, 86], [38, 87], [0, 48], [52, 116], [24, 65], [10, 66], [159, 224], [65, 125], [24, 78], [43, 121], [8, 84], [12, 57], [61, 108], [210, 276]]; loss = 0.008463 low_pass_filter = 0.300
+Epoch 0: | | 31189/? [5:54:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 31190; scene = ['e9bf2976170647a5', 'f1dfd9f275bfdb2b', '4d1600d81f68f156', 'bf171a0b8ca0c7a8', 'e919055f68a731c2', '0eb1437262133d78', '60d3394314e4efd9', 'fa2dd55d59f24505', '163e2dae752f2e08', '5a66511ac6a1087b', '10e61d26bbf88ffe', '5edf50794aa6642b', '44938f8bd7d83590', '7af404ed5bc4ae26', 'ea9df70fa4633f35', 'b0f2f68540611bb8']; context = [[4, 54], [8, 50], [0, 66], [4, 82], [9, 80], [27, 89], [139, 216], [3, 67], [20, 64], [59, 125], [46, 97], [116, 168], [2, 81], [2, 43], [39, 81], [49, 104]]; loss = 0.015998 low_pass_filter = 0.300
+Epoch 0: | | 31199/? [5:54:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 31200; scene = ['8fdcfbd54930698a', 'c34615708e279d5d', '66763e1f9feda3a1', '3223b6f6751310f8', '26fa353d54a3f093', 'eb4ff89ed0b56b2c', '76b8f8f5934a4cee', 'b86c63e9eeb2f0f3', '253d5e74a15c73e4', '3954a34db791a545', '20ad83735211af29', '16be374e6f6d5d3d', '1e51a9a349931860', '1c7e0d9da743e0ff', '2035595ebba23bac', 'a6b381f7e736bb58']; context = [[100, 153], [17, 64], [14, 81], [13, 61], [10, 78], [63, 136], [13, 76], [7, 61], [12, 81], [2, 58], [15, 76], [17, 68], [5, 51], [58, 114], [45, 92], [0, 41]]; loss = 0.009966 low_pass_filter = 0.300
+Epoch 0: | | 31209/? [5:54:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 31210; scene = ['232777ce6c9eabc0', '7d900c809e896e32', 'c0740961ddca5c98', 'f0b69a3d4d2e4db2', '7a471a0c4fed1464', '677e8ff48506dc49', 'e705e9ebe38e0f37', '81d9554ed347307c', 'fc82d5366229a1a4', '39dc11e7396fa5f4', 'efd3e783df28b0b3', '384c333906ffc6ff', 'e86b478775b149eb', 'c8c4ca4eca6a4493', 'cbb5cea13c2693fd', 'a83a1aae9c8a1597']; context = [[19, 71], [43, 116], [1, 69], [200, 258], [45, 100], [23, 96], [1, 74], [28, 71], [0, 43], [15, 71], [27, 105], [64, 120], [211, 260], [33, 87], [3, 66], [87, 156]]; loss = 0.010969 low_pass_filter = 0.300
+Epoch 0: | | 31219/? [5:54:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 31220; scene = ['e619cbfe99afbe2e', 'bbd54c91bf661bc5', 'ebe6cee0ef6cc3fc', 'b6999394b9885830', 'ce1a9465dc08ef4c', 'f000b259a36dc7c7', '7f9017c23d08afee', 'ed2fc49a0e63bafc', '37a5015930c5547e', '72d4a43408c7049b', 'eb2930c1a4b33a50', '5e7dee438d1fcba6', '1236365ec263ad76', '1adaf0a340d0e041', 'c44581acf8dd6c35', 'd8158d0ccceae891']; context = [[3, 52], [29, 75], [0, 44], [36, 85], [156, 214], [29, 79], [57, 135], [43, 92], [20, 70], [13, 59], [8, 62], [14, 89], [42, 111], [3, 51], [27, 102], [69, 114]]; loss = 0.011802 low_pass_filter = 0.300
+Epoch 0: | | 31229/? [5:54:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 31230; scene = ['cba1ed27ce6c425d', 'beffccdf99c76c4a', 'f53a4f8312a99744', 'b145a55f25369072', '74c7fe77cbd00506', '037a4d28429ecb0b', '7482427ddbfafddc', 'ddb77cfff0de0fc4', '66fbd45f9b7a5685', '9f9974c348a7706e', '46f7ce5962d1e536', 'fd99963ac0e17872', 'bbf64bb9d1b3221b', 'f424fb77759f625f', 'bed6b2d982f71178', '18a621d8ed17e827']; context = [[5, 69], [5, 76], [51, 103], [164, 224], [10, 51], [32, 100], [16, 67], [38, 100], [33, 96], [41, 109], [7, 55], [52, 105], [0, 76], [171, 244], [1, 74], [19, 63]]; loss = 0.011893 low_pass_filter = 0.300
+Epoch 0: | | 31239/? [5:54:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 31240; scene = ['b34572a642288eda', '5d69e11f2e2cc725', '20a3585f1eea662d', '0d84f49089c8d865', 'dcfdedb838bddcba', 'b89e7d0efbb85edc', '18569e146ef810c9', '7eee1debf12cbc94', '30a0d868659a463c', '956da09524afb029', '933b02e03030a30f', '5dc08507f6d4f536', 'e569151c181805ef', 'b38ed924082ccf02', '07cefa8832ff7083', '13ee7748984dc638']; context = [[15, 90], [27, 89], [118, 178], [23, 68], [13, 59], [0, 68], [69, 117], [27, 102], [7, 76], [0, 75], [2, 44], [36, 100], [4, 65], [83, 145], [55, 130], [10, 86]]; loss = 0.008373 low_pass_filter = 0.300
+Epoch 0: | | 31249/? [5:54:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 31250; scene = ['692b896991d89a54', '88d76ec515558fcd', 'bc4a8560ce74b475', '8099a24d802a278d', '5cd649d23647e9a8', 'b4869cc97b14612c', 'ef3af4ede59e3423', 'ce265bd6aca906a0', 'a851d4797973dd8b', 'f80c7ae3e8c135d0', '9585609b1fe86052', '212d150054874c3e', 'feb014e43dd4f086', 'f053d50764ded3de', '5830ae37f597a53a', '361100f6ae8c1ad5']; context = [[0, 52], [74, 145], [0, 66], [82, 133], [19, 92], [7, 82], [1, 59], [25, 75], [127, 193], [78, 119], [16, 64], [93, 169], [74, 137], [27, 82], [3, 77], [44, 102]]; loss = 0.012948 low_pass_filter = 0.300
+Epoch 0: | | 31259/? [5:54:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 31260; scene = ['0b8494a5c91c18a9', 'e69e5f4ed16dece5', 'a8cbaa3a2cf23f3b', '5435e53721106caa', 'f01e99ab810e4019', '52ebb1e5244c98f8', 'b8c66dab70ecc10c', '3f158594cbb7a77b', 'a40667b9b3b2beb3', '15ee0149c03dabf0', 'f2133cf68e6b7993', 'd7e7949633da853e', 'ed09c2c104691f41', 'd87ee6c5ee767299', '5220b6dddbd2b6c5', '471727b63053034c']; context = [[2, 71], [89, 158], [59, 100], [101, 156], [196, 247], [35, 102], [32, 101], [21, 98], [32, 101], [91, 139], [7, 53], [76, 150], [0, 47], [2, 55], [73, 151], [7, 65]]; loss = 0.013339 low_pass_filter = 0.300
+Epoch 0: | | 31269/? [5:54:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 31270; scene = ['a00677410f377f66', 'd433a78ed22786cb', '4592bd545ed2e2e7', '0c5c3bb436ed7ea8', 'f7ddde2e3318692a', '27c6ff34af974ee8', 'be3a68742dbe1610', '1446c12cceb0df17', '8ac3f80d10dab739', '490879c4d88d80fa', '7b0963592a2e1905', 'e238b11fd88b42a5', '569e8576f93086b1', 'e4ca62ed353bbdef', 'f941fd080e1a0d6b', '50a4e44df1778e88']; context = [[129, 176], [0, 68], [105, 173], [157, 202], [63, 128], [9, 57], [24, 93], [58, 128], [0, 74], [23, 86], [31, 79], [32, 89], [1, 55], [34, 107], [155, 202], [18, 96]]; loss = 0.012303 low_pass_filter = 0.300
+Epoch 0: | | 31279/? [5:55:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 31280; scene = ['f713339ac174aba0', '40a3d9a13d9ac652', '5633a361f38d251b', 'caa2c46d63a3171c', '07d4db2e0cafb1b9', '1257d34372ddf7a1', '15530e3a36759071', '9cd573a09adcac51', '8b43ca18bba45f5f', 'bb3c5b7e5d72177d', '9b2ce670e57e67ea', '34e200c84c493504', '0b994471e1f10aef', '92ac650cf8289b59', 'b7f7ecbc17b5b6bf', '9a420203814021d7']; context = [[7, 57], [19, 96], [7, 63], [62, 135], [16, 90], [26, 88], [190, 234], [204, 254], [19, 87], [7, 52], [29, 103], [23, 66], [11, 54], [23, 87], [6, 60], [3, 65]]; loss = 0.012264 low_pass_filter = 0.300
+Epoch 0: | | 31289/? [5:55:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 31290; scene = ['8f8fd92008130071', '2370a07a0d1e7930', '054deb949142152f', 'cdd61981792b29b8', '0723036aaffa8c75', '930f0a917b4cfb3d', '844febece1121b36', 'ff26955ac80e19c3', '06a2e5bec5c290ff', '3aa51ffb5daa1f14', '1b632edc8e057995', '3aebea0441273ddb', '80998e4a83ad49a1', 'd5272ec25feb6ba1', 'fa337fc40abfcd03', 'f407dfbf20e9cdd8']; context = [[0, 41], [10, 72], [3, 50], [8, 66], [96, 162], [0, 45], [10, 74], [24, 87], [178, 229], [0, 53], [122, 177], [7, 61], [20, 71], [114, 184], [116, 189], [116, 170]]; loss = 0.012063 low_pass_filter = 0.300
+Epoch 0: | | 31299/? [5:55:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 31300; scene = ['775a8836d4d568ac', '1a1c3ad0eb61a53b', '0d8ee00c443dfbcc', '4491a520e2ef3b25', '59ae4ac63c0a11df', 'e18a4b06e5cb8d8e', '30c73eeac2721d1e', '8c2797e7eb81c6ad', '2403255d91f4108a', '7e8c9830537de3fb', '32b8efd8ec5394cc', '34395b11b2913023', 'a31126062d4f7523', '740c1fccd9bf4e71', 'bba9c4e1979810b5', '2371de80f56e9707']; context = [[0, 43], [2, 53], [83, 153], [7, 61], [2, 61], [55, 108], [3, 45], [21, 86], [179, 232], [24, 79], [60, 119], [133, 191], [44, 91], [50, 125], [6, 49], [161, 206]]; loss = 0.009052 low_pass_filter = 0.300
+Epoch 0: | | 31309/? [5:55:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 31310; scene = ['ae26c895abed5695', '809ea9970b0c9ab3', '13b21c39447af9bd', 'd4fc8c1bb4207683', '016d1174aa2a9c93', 'ace9cac554725d2d', '2cd22b0b79056c47', 'cfdae9ffd278d230', '2e8464d78559e7df', '3a00bf0557f697bd', '478a681c422cede2', '71eaf6a42c20b54e', 'f42b9fd27850d7e1', '6e05907e3f19fd3c', '71c8a123e9cdd368', '69e01d9175c24145']; context = [[7, 59], [133, 189], [21, 86], [3, 80], [3, 80], [35, 113], [35, 97], [93, 149], [33, 89], [61, 124], [1, 60], [171, 230], [55, 120], [42, 99], [80, 139], [213, 258]]; loss = 0.010458 low_pass_filter = 0.300
+Epoch 0: | | 31319/? [5:55:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 31320; scene = ['9afa50a185693113', '8b54bb25bbb0a26e', '5413aa42cf24a615', '9a4fa2310315a6a3', 'a190652ee404d6cb', '739a34f9967644b1', 'fcbfc24d0e5e838a', '972d1682e9cd6bce', 'd594f6efb635e4b5', 'd11d6c1af1241641', 'f2358c2b5ee6dec7', '535c220727db7c2e', 'd17d6e951b1fb862', 'ef6c3bdc8d776fed', '99a0790d72e6c2af', 'a5b0a41151c1a7a0']; context = [[31, 106], [36, 109], [115, 166], [5, 77], [2, 63], [11, 61], [45, 93], [31, 73], [59, 105], [11, 61], [30, 82], [15, 86], [78, 131], [11, 60], [68, 109], [77, 119]]; loss = 0.006999 low_pass_filter = 0.300
+Epoch 0: | | 31329/? [5:55:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 31330; scene = ['d8d827acf9b89327', '1c7e4528865c2f27', '087818aee1647d16', 'c1cdd3dced2f381d', '86aae4818a6082d9', '870d17d7b9fd12ea', 'b68e31337deab68a', '1bf0556129bdae95', 'b8a0860f6fda8dc3', 'ff092f1b478b1968', '22784cd40adaa61f', 'f50776fbe854899c', '8906dd32981f624b', '02525e607954e087', '7c1c141c9bbf7766', 'a217c045cc6d83f4']; context = [[7, 59], [3, 47], [0, 61], [0, 44], [133, 191], [53, 103], [18, 84], [3, 56], [96, 174], [2, 74], [9, 87], [2, 79], [86, 153], [92, 150], [14, 59], [14, 65]]; loss = 0.010831 low_pass_filter = 0.300
+Epoch 0: | | 31339/? [5:55:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 31340; scene = ['b992a00ff88142ee', '29e96416e5219b28', 'e4b86bcc4becf58f', 'dea498ff8b8ab6f9', '17f47ff41a55a6e1', '6d5e73f24d60de17', '15b37a12fbda65da', '7767685c39a88cf9', '876b693d043b22e9', 'ccce87db395e4763', 'a18f380bc7a49015', '598f5f9c57bceafb', 'ec570f8328cd4104', '5de668949c40be0e', '78062689dc99739a', '5df0c00229d7e91d']; context = [[172, 251], [50, 115], [6, 54], [11, 62], [29, 93], [0, 74], [60, 113], [51, 121], [201, 274], [0, 79], [80, 158], [9, 55], [47, 119], [82, 161], [25, 95], [57, 136]]; loss = 0.010360 low_pass_filter = 0.300
+Epoch 0: | | 31349/? [5:55:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 31350; scene = ['75c89a32bc3a65d0', '57de58c91eb80238', '198c8bb58640bdd8', 'fedca665f193bbd5', '9b75e834893b5e07', 'bc01380450049abd', '7f1a2e333be7f697', 'db637f1288c50ca8', '43ac09553d98fb3d', 'aaec20a7befd0f04', '4977b009040e9ff4', '8077f3ee01fd9872', '7bef257f82af89c3', 'a1206ca66f182d10', '5ba3f48e64beb777', '3f7ce97ea5dc6230']; context = [[1, 72], [50, 92], [1, 69], [71, 137], [1, 43], [102, 172], [124, 175], [1, 68], [4, 78], [45, 123], [126, 197], [42, 106], [0, 47], [0, 41], [20, 64], [15, 77]]; loss = 0.010504 low_pass_filter = 0.300
+Epoch 0: | | 31359/? [5:55:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 31360; scene = ['2ce510cbb00a5b98', '46508aed27d2697a', '8d9630d79798d048', '1ebdc60a63a39cc2', 'f7eb7dd4073a1301', '2ffb2a302c2eb8bc', 'ce72dd0a8a955b6b', '35fe38c771b332bd', '002a58afaeaf24c9', 'bb2f78e9c66d752e', 'b4ce98b34258cf50', '9f5b27821287f77e', '01f0793599666c23', '190bc12de60a09d1', 'cc4a7a135b40e43d', '2b7009b7846c67e5']; context = [[38, 103], [2, 77], [2, 44], [2, 64], [5, 59], [11, 88], [27, 93], [46, 96], [22, 75], [26, 90], [0, 76], [11, 77], [41, 85], [90, 136], [189, 251], [6, 82]]; loss = 0.009961 low_pass_filter = 0.300
+Epoch 0: | | 31369/? [5:56:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 31370; scene = ['081accf980a4d097', 'b522bb9dc4bb2d45', 'f3f4ffa111e6185e', '4ca2857fe858b81f', '6d4b0a0b9d2edc40', 'a3dc53d7c2c5c450', '034e89ee1adfd2bf', 'afa2907dafdb4c8d', '4b2b30ddbaa7cb68', 'd2d57bc79a24b563', '5e39693ca59e8130', 'e82135c2c337329e', '5d3f4c9049fd06a9', 'bcdb79a5ef8910f8', '35b17517c1bcd92f', '771d27b0f5786d9c']; context = [[11, 52], [54, 112], [3, 52], [9, 58], [100, 170], [69, 129], [1, 74], [34, 99], [10, 67], [76, 127], [53, 104], [168, 247], [42, 118], [0, 50], [87, 156], [1, 45]]; loss = 0.010831 low_pass_filter = 0.300
+Epoch 0: | | 31379/? [5:56:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 31380; scene = ['06fa316230db3de7', 'bc2f2cd6051e2f78', '7d27d4744462ab97', 'aff6be365ac10e5b', 'ff8ee30336673235', 'de9452d754cf1a63', '8038a594dd50c839', '6be9fe4a43a26b4f', 'f113e3eb8512e251', '84727cf519681ecc', '8a20ea3b37f8de6c', '478386221245bac9', 'ba016f0508ec2745', 'fbeec1139406c2c0', '986d6bdd6646acbf', '73c59e5d16858a41']; context = [[141, 196], [28, 73], [25, 70], [4, 49], [9, 66], [76, 135], [44, 91], [146, 217], [163, 240], [34, 98], [99, 153], [22, 64], [24, 79], [37, 84], [8, 62], [4, 58]]; loss = 0.009012 low_pass_filter = 0.300
+Epoch 0: | | 31389/? [5:56:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 31390; scene = ['94a0f9c12cb65e4c', 'a6c70f7816a833ed', 'f5760f5bb83216c4', 'c251c10694e56198', '4666c8dbed232754', '8c847be312ef6f7c', '5fd6fcf6769c4788', '636d5873a32235fa', '628f5c8e6181b647', 'ffeaf3cac2d50a3f', '6627158f8afd52d8', '1374f00c4a74ce2f', '3432d0a060cc00b3', 'aa4061d3c78d2b0c', '78712cdd0ef84d3a', 'b45dc411c9268737']; context = [[55, 102], [33, 90], [2, 55], [0, 48], [27, 84], [33, 86], [163, 209], [112, 167], [29, 82], [12, 68], [22, 82], [35, 114], [8, 74], [93, 160], [7, 70], [134, 198]]; loss = 0.010975 low_pass_filter = 0.300
+Epoch 0: | | 31399/? [5:56:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 31400; scene = ['2b22adb0f3e6fe45', '322083b9a4670c0e', '30de28493bbbcd31', 'f5471975e1f7a3da', '2ea429d644e38f65', '03af818d3239f255', '72b7cfc5c04ba073', 'ade6ad49f2e818c5', '3d163eea20f886c3', 'feaf9bdc8197aeb9', '716ae06f1f482356', '82047a161180382a', 'd766eac515f8c9df', '125e043ed828047e', 'ecbe61f0d93b5578', 'ff9300735daca726']; context = [[76, 143], [5, 82], [141, 219], [33, 97], [3, 46], [28, 91], [9, 54], [6, 58], [20, 61], [2, 66], [102, 173], [1, 42], [0, 79], [8, 62], [8, 52], [9, 83]]; loss = 0.011948 low_pass_filter = 0.300
+Epoch 0: | | 31409/? [5:56:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 31410; scene = ['9e3180e551bd74dd', '29fc478263dccc7e', '79152a348ad56998', '09559047be258511', 'd5b845bbe77ba09a', '237cc7f439ad06d3', '9e78c345e73e4f02', 'd53bea12fd3fb6b0', '26701072b1591699', '2b03b18b7d2d3a98', 'adc9957afc8f74e9', '194bbd8919fa06af', 'fdd724537c1a4c3b', 'c0762ed9f04975c6', 'f2733e8cc2306488', '2e65e53594c6774f']; context = [[50, 103], [2, 48], [110, 170], [111, 170], [77, 127], [79, 122], [159, 203], [24, 93], [31, 79], [14, 73], [2, 56], [44, 120], [30, 77], [139, 214], [80, 135], [6, 81]]; loss = 0.016290 low_pass_filter = 0.300
+Epoch 0: | | 31419/? [5:56:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 31420; scene = ['4f014cce9cf0b823', '47e89e797f97cfce', '80ba2b3e340a0473', 'cb7b0766b8412221', '7eecdc047fa4f61b', '6c19062171a4f85d', '1ff6f068edd2bc64', '3c605be257dfdceb', '25672d21b37e4869', 'f6de7e9debd6fde7', 'd9bb7d1128d82e97', 'f82504631a3a90d2', 'a8709bf81573fb64', '3c9ff3115d03ad79', '51a2dbc47a4fb524', 'ac83e99b4a40080e']; context = [[114, 158], [24, 98], [20, 65], [79, 141], [110, 179], [48, 126], [18, 77], [0, 42], [10, 77], [24, 65], [20, 71], [18, 66], [26, 81], [5, 77], [5, 59], [36, 81]]; loss = 0.011129 low_pass_filter = 0.300
+Epoch 0: | | 31429/? [5:56:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 31430; scene = ['b9518d3dd1f060c7', '0e0b8f80c06aaf0a', '6452c61ddaaa86ae', '55f82df26da1032c', '410d94f29ddaa79c', '38490fbf4fd1f065', '760a4c39741f46d4', 'f3d553a61bb8c7de', 'fb1811494aacbccf', '4a407d652733e0d3', '4b771a59efd81edc', '355064d4b44f9edd', 'a030cd4e570342ae', '83957d8d384d982e', 'fe028bc21123c8f1', '108d91ce571ba456']; context = [[90, 149], [43, 104], [0, 52], [0, 67], [0, 55], [53, 94], [4, 65], [9, 67], [35, 85], [38, 112], [44, 105], [31, 85], [19, 78], [82, 135], [0, 57], [7, 57]]; loss = 0.009775 low_pass_filter = 0.300
+Epoch 0: | | 31439/? [5:56:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 31440; scene = ['31ac7622b76950eb', '09ff2a2096d5b5a6', '3c3d4988078e1c1c', '7cda46ca9a139411', '357c736f7e8c4766', 'b1c4e40d345d1cfb', '2a8b0662d3c1bc93', '4c3b7eaa021fca60', 'dadcbb559ebf4a0c', 'd7e63707dbe167dd', 'ae65e4dfa57ff828', 'c2d104fe2f1fbbb8', 'e1114da18e84076d', '23641024d1eef774', 'f3cfb5e705e117ee', '396129a0e4620ebb']; context = [[16, 66], [7, 77], [141, 216], [25, 76], [7, 69], [64, 127], [32, 103], [186, 252], [28, 69], [0, 53], [139, 194], [71, 123], [31, 79], [6, 83], [73, 138], [149, 218]]; loss = 0.010442 low_pass_filter = 0.300
+Epoch 0: | | 31449/? [5:56:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 31450; scene = ['61b0133bce4da4de', 'b3133723f3c4e495', '3fc61f3ae37ef22e', 'ac4bd0b601c3f8d9', '393b76a89a628d99', '56387afc52492719', '9a7edc2ac624a461', '356662e75e790fd2', 'df5e28115594b804', '406d10b8c85ca364', '9cb47a0e0c25d4dd', '6476fd96cf74fd99', '8994bd59d58edd41', '3cf9a02bba6a972e', '19d786d9c4cccee0', '70bbd64aade475a7']; context = [[19, 70], [14, 87], [19, 92], [38, 110], [4, 75], [24, 73], [1, 51], [104, 156], [10, 55], [21, 100], [3, 45], [5, 51], [19, 90], [39, 111], [128, 205], [20, 82]]; loss = 0.009164 low_pass_filter = 0.300
+Epoch 0: | | 31459/? [5:57:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 31460; scene = ['fd92fb298b944a09', 'cb9ae86a49f95f34', '7e1f1f018b3493cf', '21268abbbc575fc9', 'a328bb24ae1259b7', 'e7129afa3f20fb38', 'dad145ce35ad0e54', 'a5175255a7a24781', '48f502df70db50e1', '937835bf008447ae', 'fbcfae0d07f3840d', '9e739ec1a8c7aece', '6f349cede66a597e', 'd01dd4fb24911f98', 'd10ec88f20d573ed', '77052d5d9b052368']; context = [[3, 67], [26, 100], [12, 56], [5, 69], [9, 50], [97, 147], [43, 120], [1, 42], [111, 178], [3, 64], [162, 215], [4, 74], [5, 47], [150, 200], [11, 60], [19, 62]]; loss = 0.010916 low_pass_filter = 0.300
+Epoch 0: | | 31469/? [5:57:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 31470; scene = ['1008647325f7f5b5', '28bb7b161e83ed60', 'c62b839c1b99274d', '1c697e1b376ee31e', '1213665a8be72518', '4fce6c47c4c214d6', 'ddbfd5840e4c41f1', 'b1c40d25d2e64f8c', 'cd42f7bb57597072', '7a559e46a72d4269', '70385a1bbbaf8f01', '24584245043d537b', '956d10dc89814d77', 'c0161ab988831f7c', 'c54da950fcf3b932', 'ce83b2cb583c5746']; context = [[8, 57], [52, 98], [55, 96], [15, 80], [7, 66], [119, 160], [28, 80], [8, 79], [12, 76], [44, 97], [48, 95], [97, 156], [6, 62], [122, 166], [62, 138], [8, 51]]; loss = 0.009681 low_pass_filter = 0.300
+Epoch 0: | | 31479/? [5:57:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 31480; scene = ['630027801891d158', '5193a7aee466495c', '3b601d4d89307614', 'a6d4f5be85158b87', 'ffef52d59b658cc5', '540656c16216364d', '3d11abcfd05f507c', 'd3e19b0747269427', 'f0da9b9f8786b0c1', '8468c4228e3215ed', '571e0a97e57417b6', '13cdaa0c54689404', '45fb1347cd3a5eff', '84a596d39c5189bd', '80acbea9c3850c4c', '0d44b13bde35062e']; context = [[6, 67], [13, 75], [2, 58], [43, 100], [7, 57], [34, 112], [160, 234], [68, 145], [22, 82], [43, 84], [22, 67], [149, 203], [77, 135], [3, 59], [2, 46], [111, 168]]; loss = 0.010186 low_pass_filter = 0.300
+Epoch 0: | | 31489/? [5:57:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 31490; scene = ['785b34dd2c077fad', '0e1d3e59eb57c68a', 'd516ec3d191a3e16', 'adf73db30b5dc7ff', '8be3a9f4149545b6', '7b371be1f5174844', 'b215bd4e6fb3908e', 'bf78e74b9709529e', '1a314c79785c4dfb', 'f0dede73d7704d1f', '96511adf959795aa', '855462aca11242cc', '7c4216f5c1228f5d', '0e85f9c3973b1102', '235e9b080e8a3d70', '0cd8a0d1b2a0c591']; context = [[51, 99], [123, 174], [130, 188], [96, 164], [37, 91], [78, 151], [87, 159], [116, 175], [58, 118], [0, 44], [28, 91], [88, 158], [9, 65], [53, 110], [137, 215], [2, 49]]; loss = 0.012354 low_pass_filter = 0.300
+Epoch 0: | | 31499/? [5:57:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 31500; scene = ['a9926ccaa7b4cb7c', '97bea40bc9feeeb1', '5a3cdd499c219bf1', 'b04afb4bbc4f0035', '824ed72a4e760c7f', '3035206f3e39145f', 'e13a16b93dcaf8b7', '07327085a69696c3', 'ad7e2025beb77451', 'a5b077cb0a94be24', '432aa2838c24160b', '3169a93d40545f53', 'd0c197a8436159be', 'f6751290bd44926a', 'f45c0dfe6693c28f', '9ce18e551df6c324']; context = [[19, 65], [62, 120], [12, 87], [137, 211], [3, 55], [145, 195], [0, 77], [197, 254], [55, 96], [76, 138], [0, 74], [18, 68], [10, 60], [48, 95], [62, 132], [37, 115]]; loss = 0.009680 low_pass_filter = 0.300
+Epoch 0: | | 31509/? [5:57:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 31510; scene = ['ca9c396f0ba249a3', '10fc4e7b970ee82c', '3cfb2bb6addaab04', 'cb36a24975ac0d40', 'dd5b07d83d0693a4', '4d1e13e625a4ad8e', '4e8169b7f130e2c9', '69ad7ce4c6b901e5', '49289f4b2e7247de', 'bc32aea88019f07b', 'ba71441079a79752', 'f270219c01c51804', '93df669a8501c378', '3e44962dbf4e0a2f', '3f02d03307df0ca4', '3bf9f02b026d74bd']; context = [[17, 64], [9, 62], [15, 56], [2, 79], [85, 159], [84, 153], [109, 164], [18, 87], [19, 85], [6, 55], [55, 113], [149, 202], [23, 64], [74, 130], [44, 90], [22, 63]]; loss = 0.009546 low_pass_filter = 0.300
+Epoch 0: | | 31519/? [5:57:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 31520; scene = ['3850b605afef4fdb', '97aadc6224b10d88', '3c14d04df113da24', '4f5af60e4c54afa8', '341602ce1687140e', 'cbdad10abcc885e5', '57fe6fafb7acb801', 'd78557c55e24d7c3', 'c8eec59d2fd27bc7', '20f4bf16c091cdb0', '6fce0005228600cf', '7e71fa90b85ee375', '0cd5ffa2fd8650fd', 'a90a7135e5528a5f', 'e66faed3dc12da63', 'd1ff1c0259b8c632']; context = [[12, 56], [103, 170], [8, 51], [2, 47], [186, 254], [185, 247], [11, 52], [23, 71], [1, 42], [74, 149], [17, 89], [46, 116], [40, 116], [0, 76], [0, 65], [33, 84]]; loss = 0.011568 low_pass_filter = 0.300
+Epoch 0: | | 31529/? [5:57:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 31530; scene = ['b885abe6c17070fb', '1b019f00a194b9e0', 'fa8b00ab5e203c76', 'da2adf3f31dbd49a', '18f75d465e0be486', 'd77ceb15b0826817', 'c6b3daa353ee0b0c', '6b42a7cca53dab75', 'b8cef999f4e24084', 'b8708a0cadea2a91', '8965ab39a5e3bb30', '93db39179afa7a61', '496622bf4d081e09', 'b937cda3baf53a54', 'b27be52aa4b2b9ce', 'f3c9b744a3ec8d81']; context = [[166, 221], [108, 173], [19, 64], [68, 129], [61, 132], [0, 56], [4, 76], [0, 78], [0, 46], [4, 66], [84, 125], [117, 160], [16, 87], [57, 122], [126, 168], [166, 216]]; loss = 0.011088 low_pass_filter = 0.300
+Epoch 0: | | 31539/? [5:57:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 31540; scene = ['cc66dbb6ad5276a3', '6e6fc53d3837b3ab', '883b428276b20122', 'acb03b9827de0765', '4203a06d618eeb97', '399668567ff33ad7', '8df36fef4fb76bd7', '2dcd1e94db751fa0', '9cd53c2e1832a847', '1daf1d6fbe3ed591', 'de27ce11ddb95371', 'd11d011b67e8b53c', 'ff4bac4f32cac43a', 'bd2b4c8ad2c7ddbd', 'f183f6dac49c0c20', '5a4c02ec4a9915e9']; context = [[12, 61], [5, 67], [10, 60], [51, 130], [27, 82], [38, 84], [17, 70], [9, 69], [20, 80], [145, 204], [3, 73], [124, 180], [7, 52], [15, 65], [30, 90], [148, 221]]; loss = 0.010145 low_pass_filter = 0.300
+Epoch 0: | | 31549/? [5:58:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 31550; scene = ['0a6d4b1cf8a5128b', '294257960721b6f0', 'b11c5d0cd9af5712', '638614ed5f3f85f4', 'b1f38f69a943349b', '7860f8fb501c44e5', '313c38700fc2d235', '7b8d9e3dab13cdeb', '5b5997d5f0ce5d59', 'cbacf5f45d250501', 'eb1a898f646101ef', '244b5c3c3d557a2b', 'd35d3ab840625cc4', '02de2123b9edb672', 'b6cf4496bb5499ef', 'ce94464d4c88de51']; context = [[8, 51], [22, 69], [2, 43], [29, 71], [181, 249], [172, 228], [18, 85], [64, 133], [60, 120], [12, 74], [0, 41], [69, 131], [23, 73], [34, 103], [60, 134], [46, 94]]; loss = 0.012913 low_pass_filter = 0.300
+Epoch 0: | | 31559/? [5:58:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 31560; scene = ['94f7b5c957bc74fd', 'cbbe5299030ed27d', 'ecb259c1db50ec9b', '5b9f289a8e65563f', '34ecd93b461c01fe', '202890a812df9e8f', '9e40d72fc377071e', '40df765baa02ddbc', '64178fa9e691eb9d', '353ca9b87c6ea74c', '7c04cd39e6b4bd9d', '2beffba3b531b579', 'f26cb76f4f1482ca', 'e6bffe056df50f5a', '3352e138ccac13f2', 'af682b0ac0a6af53']; context = [[10, 60], [26, 76], [118, 181], [133, 205], [44, 109], [11, 55], [9, 60], [16, 73], [122, 197], [217, 277], [31, 75], [84, 129], [27, 93], [15, 57], [29, 93], [164, 213]]; loss = 0.009378 low_pass_filter = 0.300
+Epoch 0: | | 31569/? [5:58:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 31570; scene = ['3ae57227ccab25e8', '7c2d62eae6516d1e', '4ec86da6639d7cd7', 'b164d2a50ad6e406', '8d4bb7e26db63eb6', '2c19ecb25e0249a2', '77a76b5a1223d66d', '41a3354c28ab740a', '692abad1fd72e99b', '451910a92ec33436', '2c715a717e9bd2eb', 'c420be3f96474307', 'fb45e23f9bf03543', 'cb1c56ca451aeaed', '3f945924e153a987', '9aaf2fb99119da87']; context = [[91, 152], [143, 194], [125, 169], [22, 84], [1, 61], [42, 116], [4, 71], [25, 67], [3, 64], [0, 61], [12, 60], [2, 46], [119, 181], [0, 58], [76, 134], [175, 218]]; loss = 0.012611 low_pass_filter = 0.300
+Epoch 0: | | 31579/? [5:58:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 31580; scene = ['c2d56785690fef5c', '1ccc8946d683d79c', '9d4bb6a040f3e82f', 'c0de137715b6bcb4', 'bc29873beb100836', '33bf51a57dd21baf', '0b22601aacc68028', '1927ce59475cc725', '6c39921ab0917e6a', 'c6bb3b3d5da3637a', 'b0b94d5a0d1604e8', '1c407840852ca073', '1530900920c69548', 'aba0882649576542', '891fdf0987991e47', '9bf837c9b3c493e9']; context = [[171, 238], [46, 117], [101, 179], [183, 244], [72, 133], [18, 89], [19, 71], [45, 118], [4, 62], [1, 76], [3, 80], [73, 128], [11, 63], [1, 42], [61, 133], [88, 156]]; loss = 0.012680 low_pass_filter = 0.300
+Epoch 0: | | 31589/? [5:58:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 31590; scene = ['da1a07f38e11cbf7', 'a3ee73d525187763', '5047b5dc3a98e12f', '3830621fd20294c5', 'b391c3d9cf1425f3', '2c0f4dc479fd405f', 'aa61ed9a137626f4', '435baed48e74ac68', 'cc503e1bc31b898b', '207a22540803657c', '30d1c0b8c175d4ec', 'f6d350c0bbdd1a3c', '1517c447249b01a2', '143121a017053c1e', 'affd8529a83e2cf7', '10e47d52f346c322']; context = [[18, 74], [7, 59], [181, 250], [2, 75], [4, 71], [0, 41], [1, 66], [0, 59], [25, 101], [2, 56], [110, 161], [45, 86], [7, 80], [7, 53], [64, 119], [9, 70]]; loss = 0.009704 low_pass_filter = 0.300
+Epoch 0: | | 31599/? [5:58:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 31600; scene = ['a4e0f20145b56429', '7f68605e483cb231', '4e51832db28d7a2f', 'b9f12695db134381', 'fde72c5779d294aa', '08e8d767c22b2f76', '3f5a3f57adf8a7da', 'a69c46f6bf343d2c', '6679f59d495204c0', 'f5713d231e3431b6', '0d2f9959a65cc24a', '57803617ea5ab7a4', 'e133356c306f9509', 'dccbc798209018fd', 'ffc8fc73703a7801', '6abacaac7e196cfd']; context = [[5, 72], [14, 71], [0, 50], [12, 53], [55, 111], [25, 71], [18, 59], [134, 191], [62, 119], [89, 143], [5, 51], [4, 72], [11, 62], [41, 85], [53, 124], [1, 45]]; loss = 0.011336 low_pass_filter = 0.300
+Epoch 0: | | 31609/? [5:58:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 31610; scene = ['a4f7106b183e3aa4', 'c2e94ef07b24c422', '160fb18fd9ea1ea9', '86beccaea6276618', 'acfb427d90168b64', 'af9fb59645cb5450', 'f73df719b44d8e8c', '7b13896bf3ec456f', '7a65f22e4d3f4d00', '9e00040e823be79b', '6506f727e342a210', '74c756a6fadb42ca', 'db61a53a8df7d1e5', 'ca454d783ce478ff', '4e2925a18aea45bf', '081d24766be8a35b']; context = [[2, 44], [48, 106], [168, 232], [13, 61], [3, 77], [219, 264], [41, 85], [26, 98], [25, 67], [8, 77], [28, 89], [76, 136], [86, 145], [20, 81], [72, 126], [10, 56]]; loss = 0.011093 low_pass_filter = 0.300
+Epoch 0: | | 31619/? [5:58:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 31620; scene = ['3699c534d47f61d0', 'd2bf38090b14ee4d', 'e8b8ea4dde36dbd8', '95c7513344e24533', '328cdff8dc5c3ed3', '4bede15a09bd44bb', 'd5a0aa264159a278', 'ac2fc17a4de90b7b', 'adbc22a988340ea2', '53dc437d11e76ef6', '514db696ec759153', '5ad0327426e3718b', '38c67fcd3b8e4f8a', 'e9e3e7a7b80eb5a4', 'a1dff9c50d92dc9c', '0b4748c575a0b84e']; context = [[28, 90], [66, 107], [147, 193], [1, 60], [143, 216], [189, 252], [1, 79], [12, 90], [22, 71], [9, 56], [8, 64], [103, 154], [170, 235], [105, 175], [125, 168], [21, 64]]; loss = 0.010606 low_pass_filter = 0.300
+Epoch 0: | | 31629/? [5:58:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 31630; scene = ['a6cd9e57513d0f5b', '326e42e7776c50bf', '1549c6877baaa3a3', '881588d40d5d70dc', 'b81d8d1868189a77', '432438cda3cad918', 'b9e9d2a463c7f840', '23a769da90ee8db0', '919b825107501549', '7926c7ba6cf278cc', 'c0ab06325cbbce44', '471c50420c5d1da8', '29a03a5b3c855640', '1e1d817c3a82c777', '170456ba78e63309', 'c6bae18b8a3f0bde']; context = [[43, 88], [13, 66], [47, 123], [0, 42], [25, 71], [50, 110], [0, 70], [41, 113], [41, 91], [30, 74], [5, 71], [8, 66], [28, 86], [13, 73], [55, 97], [3, 78]]; loss = 0.010975 low_pass_filter = 0.300
+Epoch 0: | | 31639/? [5:59:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 31640; scene = ['6eec15ef21e914b5', '8e072e82a4158afe', 'fa9f019e1226ba08', '1e25fb7754f58040', 'dfe58e223f079215', '84d2d6712d389970', 'e4d53cef4b37c36e', 'd565a415518bd68a', 'cffcc01ffb4a27ce', '5aea64e123ab1589', 'b43eae80d9b59fae', 'd24bb3503cb81519', '7ecc2274c34188ad', '3b5fcd4d1a5496ae', '1afaf4b6621e0f5f', '283d19ff3706f2b9']; context = [[0, 79], [10, 55], [29, 84], [3, 72], [13, 60], [206, 273], [82, 130], [21, 79], [112, 189], [32, 91], [3, 51], [19, 66], [22, 72], [36, 110], [26, 77], [73, 148]]; loss = 0.008756 low_pass_filter = 0.300
+Epoch 0: | | 31649/? [5:59:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 31650; scene = ['bae66b8175d11647', 'a557bfdcbd9558f7', 'bbd22864c2c8c4e0', 'b2c3bbb92492ea30', 'f67ee51c76a6aa33', '8290c21ca69361ec', 'e8d5d9efb11ec268', '6bb71ae77f76b7ef', 'c6e7d2560cc98ddf', '941a34a5fe903815', '7d2242665e3a666f', '4d2637e39b66f24e', '250c4a4a83bfc356', '977e0053ae47e056', '5a66511ac6a1087b', '60d3394314e4efd9']; context = [[14, 80], [11, 71], [25, 95], [73, 136], [7, 83], [32, 107], [70, 144], [12, 55], [1, 46], [55, 133], [25, 81], [1, 42], [2, 58], [156, 223], [80, 130], [18, 85]]; loss = 0.010281 low_pass_filter = 0.300
+Epoch 0: | | 31659/? [5:59:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 31660; scene = ['14e6c77754229980', '617ed16bf4918b44', 'eb1b7a376716b76f', 'cbd3e812b48f4c79', 'a7cfe8e02f888415', 'c2bca9bf885439df', '75801304d597c30a', 'a3d73d272ace42bd', 'f3b9999cbc4462c8', '9508c41cba5ddbec', '3a84ef3d1add7002', '4009a342664a96e1', 'f7f0c6e26e4ba0f5', '85b956080085cac5', 'e7ae5d42e1d888df', '98735bf18e9d2a52']; context = [[152, 202], [8, 73], [11, 65], [119, 174], [30, 101], [22, 77], [19, 89], [24, 96], [8, 79], [100, 161], [156, 200], [208, 269], [10, 65], [11, 86], [7, 51], [46, 98]]; loss = 0.010715 low_pass_filter = 0.300
+Epoch 0: | | 31669/? [5:59:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 31670; scene = ['9f0eb311381bcfe8', '80577c02d0925e08', '651a9f768e528c0c', '9a991195479a98af', '65b520324a4e90c2', 'c4f5ccc31886431b', '1ae63bc3a928aa33', '683e17e57364aa37', 'c0dd8bc7bbbe97f5', 'c2cd9373d46a332e', '78717028e4e0662d', 'cf4c9705d27edd6d', 'a0cb4f222193d63c', '116eb49fa24202a3', 'f2e95b4df65eabc7', 'b0098207764e606a']; context = [[23, 91], [17, 69], [3, 58], [33, 91], [52, 115], [61, 122], [91, 145], [29, 107], [1, 47], [123, 173], [69, 140], [8, 83], [0, 53], [19, 76], [6, 75], [65, 121]]; loss = 0.010105 low_pass_filter = 0.300
+Epoch 0: | | 31679/? [5:59:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 31680; scene = ['78a40a9f15582918', '45ef1511dc1ec7ed', '2c03b92a03910924', '0a7e70d3efcffdf4', 'b9294eed52bf506f', 'd7decc9863ca94ef', 'a6f16d68f9e126c9', '7c300b2872eeabdd', 'de6b214b12ce2f5d', '6c95490e2bd6aa2a', '3f209aa0b5e74285', '7cd0fffd56e1bb4e', '18bc67e83f83fd74', '901e47c506f0d2c1', '94ddacdba86c4757', '4923656d2871e39c']; context = [[18, 75], [1, 54], [45, 94], [41, 117], [17, 77], [1, 78], [0, 55], [81, 157], [11, 62], [178, 247], [9, 86], [4, 75], [62, 125], [35, 85], [63, 137], [189, 261]]; loss = 0.008092 low_pass_filter = 0.300
+Epoch 0: | | 31689/? [5:59:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 31690; scene = ['2cd12500e4a796bf', '41fffc6d9d335b3e', 'd0333dc4a7fe1439', '3e8a7a45047fc892', '7668427812272ec8', '709476c26a219c69', '75c251fea8145421', 'c10d7356f8a3a3ab', '72da2d7f756b1fd0', '9332241d744fcc89', '669108f020ce9326', '69a74d6dff7e4ecb', '956b787fa6250691', '06678f70a4f95b2d', '1c782a6280f77698', '5bda0a0bdeb8fa19']; context = [[63, 141], [33, 75], [64, 112], [33, 75], [31, 89], [0, 62], [149, 191], [20, 83], [15, 64], [82, 154], [118, 192], [156, 224], [14, 58], [17, 82], [11, 60], [38, 100]]; loss = 0.009123 low_pass_filter = 0.300
+Epoch 0: | | 31699/? [5:59:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 31700; scene = ['43cf6f225ba670fd', 'ba3f2372b7959e95', 'ebd5e80138e74301', 'a3a29f751ab5536c', 'c063a92c7a44b6a0', 'd7771ae79c3f26a6', 'f8448a1d0e098580', 'd862527a043561c9', 'bc5f4b5e37f71aec', '861fd42e408817bc', 'd1910994e205375f', 'f7b38b4801c35c54', 'b64f6fc16d34be37', 'a1a0bcce8001f776', 'a6c74ca21a415525', 'fbe2265ed5669a2a']; context = [[62, 105], [10, 61], [38, 92], [195, 264], [51, 125], [3, 51], [153, 209], [26, 94], [2, 59], [35, 78], [42, 121], [57, 119], [41, 99], [138, 188], [11, 67], [9, 86]]; loss = 0.009758 low_pass_filter = 0.300
+Epoch 0: | | 31709/? [5:59:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 31710; scene = ['3e648c40cea30c08', 'b1a16d59285b517b', '40801df8576367af', 'a5de552e69fbce79', '1fdf3f2fbffeacee', 'c79896b4ed843482', 'fc7ce4aebcd1d2b7', '703823150f4adadb', '5bf54b9911827a9d', '3565e580c537c111', '119e7ca7b87cbde3', 'ac4429b8b00bbd4e', '480e8122be62a73b', '74e586f3a110c76e', '797430d383cf7e24', 'ed91bd6d1b927b76']; context = [[49, 112], [194, 267], [6, 61], [39, 80], [6, 57], [53, 115], [66, 113], [45, 96], [6, 58], [18, 92], [6, 51], [52, 108], [11, 81], [14, 66], [78, 134], [18, 70]]; loss = 0.010349 low_pass_filter = 0.300
+Epoch 0: | | 31719/? [5:59:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 31720; scene = ['1e86433c39f63398', '5ef1bf2bf79effc6', '4748781f185e7376', 'ab0359882518850e', 'cff80a18cb02c366', '957adb04562c2656', '393cad5031f75f17', '6bb52911445f6e72', '25abb33f977bf810', 'bbc96e7eeccafa65', '8e4631a328f2870b', '14c89d90e8cd6c5a', '9cc8edf8ad90d501', '926c375e9e97645f', '1c4574a370bbaa00', 'b28ac5a98c93f8d7']; context = [[93, 139], [0, 63], [30, 82], [5, 49], [16, 75], [13, 82], [136, 199], [2, 43], [16, 80], [142, 186], [4, 72], [10, 72], [96, 138], [33, 99], [0, 45], [4, 78]]; loss = 0.009633 low_pass_filter = 0.300
+Epoch 0: | | 31729/? [6:00:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 31730; scene = ['34c94cc634b3c15c', '86c8ad41a64926cd', 'd1f9017dee739f4b', '33f4f60f6f1eb558', 'f141d7216dcdfc5a', 'ea31b004087c3db9', '82ef35b5e9ab648c', '7471f20705d68d02', '064e73637f341df3', '6fe9eaa94a71cd5b', '72b3f30e37e99c2a', '1dd4f9ffa1934d60', '7227011225fab25c', '7983d363f745886c', 'a2d0707c3ba1a687', '1a0b5dfe51376c01']; context = [[135, 184], [5, 52], [88, 159], [189, 249], [7, 74], [26, 92], [9, 82], [39, 95], [23, 74], [64, 116], [14, 64], [54, 115], [68, 136], [10, 54], [9, 51], [7, 52]]; loss = 0.008417 low_pass_filter = 0.300
+Epoch 0: | | 31739/? [6:00:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 31740; scene = ['14444d4edf99e35c', '39c37c7704959e01', '5c2211c580a15c8e', '9482b23b70b9b147', 'b84872a112abb026', '9e51170a8e584e09', '2a866103ec3d8348', '1f0cf1a9439210f9', 'c8da67d9fdccb60c', 'f3b614caf5078792', '253e8f820f98d690', '418164772a373949', '82fb9650578cf923', 'c1771c630bca02a9', '4f6bf6243912aa92', 'b8411d41299a345d']; context = [[68, 130], [41, 107], [13, 79], [0, 54], [3, 47], [98, 177], [0, 41], [16, 67], [35, 98], [10, 59], [20, 95], [15, 62], [10, 53], [77, 124], [142, 218], [90, 143]]; loss = 0.009160 low_pass_filter = 0.300
+Epoch 0: | | 31749/? [6:00:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 31750; scene = ['b04d1d608f54d91a', '4d0a07abd5489371', 'c5f2e6776dac629f', '9a3449c857ad8d2e', 'b101b30ff1f24357', '062fc5a9d29cd651', '9b1273c8f696f5c4', '70cccb9c7d04585e', '8dc02ad9f06c82b6', '998b9c32167e24af', '9e361d7c969f1f0b', '01d0d2b4aa40236b', '01b1548c7d661213', 'a2221580995f8722', 'f8bc5a1bf0e97746', '8f8259fa3b72216e']; context = [[1, 58], [8, 65], [19, 86], [24, 71], [18, 74], [0, 54], [71, 131], [66, 121], [1, 60], [97, 143], [53, 95], [30, 83], [10, 72], [26, 74], [174, 248], [95, 161]]; loss = 0.009191 low_pass_filter = 0.300
+Epoch 0: | | 31759/? [6:00:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 31760; scene = ['6e246ece8fdd2a1c', 'aba8500bf55e59fa', 'bbeb5d738b8da0c1', '7c376693c09e694e', 'b851fee0bc2a9561', '5ae7974a40e54506', '9919a90cca908f5a', '3ffb94731fd84995', '2dc825f560e48ede', 'bf0f4614e32aa403', '96cb00ed5d745db8', 'a7bc22395ad69b99', '979e6ee2c54274c8', 'ec322c236e7a4492', 'dfe008802b69008a', 'd2a261ff1f2f061c']; context = [[97, 172], [18, 87], [59, 100], [17, 69], [34, 100], [33, 76], [15, 89], [81, 156], [42, 99], [44, 87], [0, 74], [115, 161], [62, 125], [71, 134], [7, 70], [13, 72]]; loss = 0.010666 low_pass_filter = 0.300
+Epoch 0: | | 31769/? [6:00:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 31770; scene = ['23d89b926a4e9ada', '3f62f46c54c21cf2', '53a8bb87641bd35b', 'fc4e64a966b2af97', '42a3daae34acb6d0', '33d44d22ca5117fd', 'b077b634286dbbe9', '482b604002f1a227', '7d2a669a71faa6f4', 'bb05ad97aa1e3538', '656330f47c5df010', 'baff5ab68a0a7f9c', '9c406908bd57bd94', 'c7d35bb824ce8724', 'bf9ab877153afc0e', '296c34862a1e7e5b']; context = [[37, 88], [15, 74], [118, 195], [23, 64], [76, 135], [8, 50], [5, 66], [128, 176], [9, 56], [0, 41], [42, 97], [26, 103], [2, 72], [3, 61], [81, 124], [74, 117]]; loss = 0.008946 low_pass_filter = 0.300
+Epoch 0: | | 31779/? [6:00:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 31780; scene = ['acffd6c013609d84', '9755ef79f64c2805', '2a2334b39a65d2aa', 'bf202c2307040974', '1a98c811762bdead', 'd52718de7fb3476f', '42709fcc9d2a02d0', 'c366e23315cda80c', 'd744ef80876e6edb', 'd8e31e4bb9ddd286', 'bb3476e0d08d2eef', '273f4a7d0ccbd7c7', '3f60ade13a5fea59', '1eab9fc44438af28', '236e43e580eb82bc', '9fac534d10fd342c']; context = [[16, 92], [88, 139], [3, 70], [183, 224], [5, 52], [104, 148], [45, 115], [8, 61], [0, 57], [95, 159], [24, 67], [42, 98], [30, 74], [85, 145], [32, 78], [58, 130]]; loss = 0.010881 low_pass_filter = 0.300
+Epoch 0: | | 31789/? [6:00:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 31790; scene = ['06866305c62c0d18', '694c1768e5e9f5d8', 'e703ec24bd1415a7', '2a556acdb9f72bf2', 'c26b11aa4b27231b', '532f708f8fb288bd', '4f2c5e6290da2d50', '72b336ec8447b58f', '1f61a254477e0f4c', 'df709a9df3c44a6f', '9c016698821f4400', '14cb1caa8f185f3c', '431adcc96d3e7f9b', 'd7b8aa8b102928ff', '998668fcaa156c0d', '749c8153a4063123']; context = [[32, 90], [12, 55], [21, 78], [8, 81], [92, 141], [81, 153], [72, 118], [0, 54], [2, 76], [21, 62], [68, 132], [10, 57], [1, 60], [42, 95], [1, 74], [23, 79]]; loss = 0.010383 low_pass_filter = 0.300
+Epoch 0: | | 31799/? [6:00:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 31800; scene = ['a9ecea51771d9a00', '86afb61a789d70c8', 'bae7254a350b521c', '53bca77d4e3f85d7', '9bd27245632f7e5c', '99a90c9f04f840fc', '3254421780c522b1', '64b50539746fbb31', '23e956eb11c43626', '20af62cb11b5732b', '4da78e47fef24309', 'a688345950054137', '8a57f52da27eb5fb', '7ab4c9902de4a6f6', '3567756df2b457ac', 'd105006c740c2cfa']; context = [[14, 83], [19, 73], [12, 91], [107, 150], [17, 64], [59, 106], [21, 70], [1, 61], [1, 43], [148, 213], [47, 108], [14, 60], [1, 48], [44, 112], [9, 56], [4, 54]]; loss = 0.009344 low_pass_filter = 0.300
+Epoch 0: | | 31809/? [6:00:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 31810; scene = ['5fe68cbad1ba362a', '3ce9e01d528feece', '92fc9155096037b5', '3130a93a55e57311', '724165c950c7a80c', 'aa9826ffca85a2c7', '59962733bce39722', '1f1fb2d3701b0b66', 'af837aff6c95547d', '25470a9bceb93b10', 'e647e7c9eec77344', '1d31f9640be1e8cc', 'dcb48174c09c0239', 'cdfcbf746dc6b4c9', '2b0c90d09a7714a4', '754cd13d07884b11']; context = [[89, 138], [4, 47], [22, 85], [109, 187], [66, 118], [45, 87], [7, 69], [78, 138], [84, 164], [1, 65], [88, 144], [54, 106], [9, 82], [148, 197], [162, 228], [12, 64]]; loss = 0.010699 low_pass_filter = 0.300
+Epoch 0: | | 31819/? [6:01:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 31820; scene = ['a27495eefbaba454', 'a7c9f36bdfc44159', '52e7a82baea6b86b', 'ec166c975da009fa', '6d17b1aeb2612d9b', '0dde89e3415640c1', '3ba1586d95247579', '95da46cc74bd865f', '0e3dd3714c78c34b', '0a3c48bdaf8771da', '96e650d88643f131', '74276916559f4ca9', 'a57c3d7a98497d6d', '21b43052b04845cb', '1468285f818227c3', 'e2ef2c40eeda8f3d']; context = [[24, 69], [103, 153], [22, 65], [20, 92], [131, 182], [7, 71], [37, 101], [8, 81], [16, 61], [13, 78], [0, 42], [0, 76], [29, 97], [0, 60], [0, 63], [0, 78]]; loss = 0.010476 low_pass_filter = 0.300
+Epoch 0: | | 31829/? [6:01:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 31830; scene = ['7c7405a0b30acfe0', 'a6e10acc85cb42b6', '36373e191159d044', 'a1bb2ada3181ffff', 'f8ce5c33f6cf70ed', '23467cc831529738', 'b5641e5423f6e474', '265ab8c5130603c6', '2813da755d297391', '138c39b21212c53c', '7f2f43cf7a4adb40', 'fcf176d504f6568b', 'bcbcc0c6dad789f3', 'd0e3868f1ad7dc32', '560319076127d040', '300e96e5c068a90f']; context = [[205, 255], [0, 42], [8, 68], [4, 69], [9, 85], [134, 190], [2, 49], [53, 129], [9, 75], [71, 150], [14, 78], [19, 81], [4, 48], [190, 234], [24, 84], [38, 85]]; loss = 0.015331 low_pass_filter = 0.300
+Epoch 0: | | 31839/? [6:01:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 31840; scene = ['b1d287181c224576', '292a5b35c55aa177', '254fbbf772a841fe', '92cd6a7458388c37', '3f12bf81c27b8653', '359f7d0c8992f78b', 'eaa9b4aec449fb58', '5aa152c82cc18fc6', '39b91ce342618b5e', '5d6ec5d56fafe40f', '3a40129b68a67440', '7df74c7ca3dd7c47', 'e85713019ff14680', 'e31116726818d22d', '440566f756704547', '399e431c92be9702']; context = [[173, 251], [2, 75], [123, 176], [52, 107], [33, 100], [154, 201], [2, 73], [101, 145], [111, 191], [0, 43], [49, 113], [0, 68], [156, 220], [162, 221], [0, 42], [178, 228]]; loss = 0.009887 low_pass_filter = 0.300
+Epoch 0: | | 31849/? [6:01:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 31850; scene = ['8677be0fd77ef664', '04528668e1c60664', '62cbefbb22a48c55', 'a73800e25d3adc8b', '4d999bce04f7516a', 'e92d17d3398d0a25', 'd3895c7d9c03703f', '239055404f75ffd1', '6e269cfbf064b6a5', '8b2bfaf797d1e11c', '3aa0715bf6cf2124', '70eb4cad799be058', '41b6ede6065f2031', '4e2914a72cd9a8d6', '6454b8eab0cfbd98', '994520585af6cd0b']; context = [[18, 77], [5, 50], [9, 69], [52, 120], [23, 94], [100, 155], [118, 184], [207, 269], [52, 112], [50, 114], [4, 52], [67, 108], [85, 139], [36, 100], [20, 67], [95, 168]]; loss = 0.007449 low_pass_filter = 0.300
+Epoch 0: | | 31859/? [6:01:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.70, train/active_min_children_step=4.0train step 31860; scene = ['c047d0dbbfde98e4', 'f00cff8f4ae371a4', '50c9b910f6706ed5', 'cbbd98e0f99af188', '29ad7f2d5b0f798a', 'd12ba3a2ac78cfb6', '53b0a4720f4912bd', 'd36fc8d3f149522a', '9f655edf6923e6cf', '8c311d826f923a77', 'b49d675a0700b06a', '01669ff74c56d315', 'ab09f74ddd814153', 'bc7cd2216dc16470', '507dda4c1b722c23', '5f0d7d76e4b7fcc9']; context = [[113, 193], [8, 56], [23, 101], [110, 179], [0, 52], [0, 70], [198, 243], [11, 56], [45, 102], [95, 173], [13, 66], [8, 64], [67, 129], [17, 60], [5, 54], [17, 69]]; loss = 0.011158 low_pass_filter = 0.300
+Epoch 0: | | 31869/? [6:01:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 31870; scene = ['f923bd9d3baf0eb7', 'a97bc33dcad99933', '5558afee288fc86d', '2e1b1c7f5ebc6298', 'eaa29049e6fb86de', '9eb1cb80a1e94817', 'b1c71220312bd8d7', '68a85b63caa319b4', '3685bb1168fb8031', '5fec984bfa36becf', '20c639dc41a7bf7f', '3c0a13b7637af7fa', '7332947ada1572b7', 'e465c16e4ba9fcb8', '06f73e2d9a53a6eb', 'e3f69d6b8251e4a9']; context = [[50, 105], [10, 65], [8, 59], [0, 49], [1, 63], [5, 48], [3, 49], [3, 71], [75, 138], [44, 88], [114, 190], [5, 83], [15, 67], [44, 109], [99, 150], [14, 80]]; loss = 0.010099 low_pass_filter = 0.300
+Epoch 0: | | 31879/? [6:01:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 31880; scene = ['a95691c28a8c28a3', 'e19f2bdf424cfcde', '249adc3e479b28b9', '73dbf61978e22f0d', '8c338ffc0f63d256', '065253fc4e00d30c', '464b39207f6edea6', '0d64103186aa5b50', '224c2bca8bdc3231', 'e0820fda0d0074f3', '46968265954c2abc', '5e202297ef524354', '8ba4540e85be5b46', '415dc13fa0b631f6', 'd2a5cdbdc5060e5f', '2243fcc1f63bb6ac']; context = [[139, 185], [5, 47], [3, 71], [13, 91], [19, 63], [3, 44], [111, 189], [5, 62], [151, 218], [1, 47], [18, 59], [25, 82], [9, 66], [81, 151], [119, 199], [55, 130]]; loss = 0.009927 low_pass_filter = 0.300
+Epoch 0: | | 31889/? [6:01:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 31890; scene = ['4ef76ea7421ee560', '0f638868da0b9ba2', '08aa99b304f37fbd', 'cd22be4ca813f822', '1d6e90b9bf321118', '61cb88c7a8387ea1', '906fb344c7f0c4b4', '1e75265d74b6b717', '8006919da696dee6', '67301786df4b5513', '56e8b9541d2225d6', '7738cc583bce642d', '83c84d2d35b95f97', '34f84d9c73f9aba6', 'dfa6db6f3959e2ec', 'ad0b15a79f791403']; context = [[10, 72], [1, 78], [2, 74], [49, 126], [76, 148], [2, 53], [13, 54], [28, 97], [19, 83], [0, 75], [75, 140], [42, 96], [12, 80], [51, 96], [75, 136], [3, 45]]; loss = 0.011910 low_pass_filter = 0.300
+Epoch 0: | | 31899/? [6:01:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 31900; scene = ['a00305605d2ceeb3', '425a6346d7e791e9', '02f844373f2dcf3d', 'd98478061d8a24ef', '1c23077bfac5fdfa', '5355da26f7f618a1', '2be6cccb17d391dd', '765cf0000db9cc0b', '3ac9999cdd9d2c26', '73c530db1571a040', 'e17c8318e482fd68', '71f772e05b14d6ed', '3c19e57ac3f4ee30', '060de3e4675e2418', '3bfd6cf9e7f908ad', 'a59e145c063f1ed7']; context = [[58, 115], [83, 128], [0, 45], [1, 66], [0, 43], [82, 136], [29, 85], [26, 78], [49, 109], [94, 159], [16, 57], [117, 182], [5, 47], [26, 70], [19, 82], [132, 200]]; loss = 0.009466 low_pass_filter = 0.300
+Epoch 0: | | 31909/? [6:02:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 31910; scene = ['72af17dcf2eba0cf', 'df4e1717577f82c1', 'e80fccd03453b167', '2ec09eaa8e06fdc1', 'd503531bb5319abd', 'c7e9aa0570c51824', 'bad89e3e5f29f28b', 'd83c1aaa89852410', 'fbdcf089b0890ae6', '3fc4d99af68cedb3', 'cee4b55b538a7310', '0e62273ed3ef91ee', '178ca92e6939c0bc', 'd4db0477e6a51b9f', '3b57ac636da7426e', '5eaa519bafc221d1']; context = [[27, 77], [98, 144], [115, 176], [0, 51], [34, 85], [3, 79], [27, 83], [18, 71], [30, 104], [1, 50], [80, 140], [66, 137], [2, 47], [80, 128], [9, 78], [73, 146]]; loss = 0.010232 low_pass_filter = 0.300
+Epoch 0: | | 31919/? [6:02:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 31920; scene = ['1a2e563e6ba8087c', '35e11db0cf40a795', '946d83a6f9a836d1', '6ef01df67037acfd', '99eef5cf98ab7069', '0d887d19d7212540', '8cb2738ddb065600', '50c8a233bd82a613', 'd6d5baec04f87eeb', 'bc1b917beb473a62', '11321c28beefd319', '03e5fa9b6ed68049', '42ffa402b6042d38', '00b5cecbfd7f9a51', '78e0a874f9df94af', '7bd046d1c835a96a']; context = [[19, 80], [81, 161], [6, 67], [53, 118], [2, 52], [2, 65], [25, 91], [95, 137], [8, 68], [0, 42], [21, 64], [28, 81], [10, 77], [206, 261], [6, 73], [115, 183]]; loss = 0.011092 low_pass_filter = 0.300
+Epoch 0: | | 31929/? [6:02:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 31930; scene = ['5b64b5760c7503f3', 'd412ad2f6f4b6e07', 'dd086087400ad408', '58275614cf462346', 'cafb5c4d141984d0', 'e54719c9dbecbac1', '231b81fe05d87e31', '56a3cab917fb2f23', 'c7afa69038025a01', 'e100c11918671a33', '14db202c335af709', '4c9b35d3b2045ce0', 'bd65a22a1e0afab9', '33ccff66d42f5db9', 'f93c284c77d0738a', '16d3ec890df5ae96']; context = [[8, 65], [40, 93], [6, 80], [75, 132], [68, 139], [19, 89], [1, 71], [220, 275], [0, 68], [9, 53], [98, 176], [11, 90], [33, 90], [18, 68], [84, 145], [0, 71]]; loss = 0.014085 low_pass_filter = 0.300
+Epoch 0: | | 31939/? [6:02:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 31940; scene = ['d4db76a49ab21dd1', 'd28a4b53b6fe0a84', 'e20fa4c9c8fc8f42', '69cc85f49345c36d', '03f936b95d6ef500', '7d4efead6d44dd4c', '17406d413afbe1db', '674835273a35cbdf', 'e5c47b626f9a7fa4', '7e762d0c67252a36', '165eaaa2a7b5c11f', '086d231d005df1e1', '26cf73d2eb11939d', 'ddd2fd3db0b2197c', '6186b4ba6e4b8000', '4068f00bd881cddd']; context = [[105, 152], [8, 58], [137, 203], [16, 94], [101, 149], [6, 85], [31, 84], [61, 132], [4, 64], [42, 111], [14, 61], [1, 57], [5, 60], [31, 83], [137, 216], [48, 92]]; loss = 0.011214 low_pass_filter = 0.300
+Epoch 0: | | 31949/? [6:02:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 31950; scene = ['012ae7e6ae8eb7b1', '53adc3b61850eaf2', 'b7d77240852d6a52', '24539d9cb575945f', 'e5251115011169b1', '0ad311b66ea61e62', '99f3ea3ba624fb0a', 'c5c352e72df9640b', 'a7cdd9d5e6221d68', 'a3a5884addc0279a', '08f02e7ec7dd69da', '29caaff58a530496', 'ef37be4851962545', '5376cc836571e8d6', '37d8d38f0ac90651', '809658c303767e17']; context = [[0, 68], [94, 162], [9, 61], [28, 82], [2, 71], [0, 71], [15, 65], [40, 96], [11, 54], [3, 49], [23, 77], [1, 43], [80, 125], [131, 186], [7, 77], [29, 107]]; loss = 0.008245 low_pass_filter = 0.300
+Epoch 0: | | 31959/? [6:02:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 31960; scene = ['65cb094aa58e64f7', 'e91ea9998edd1a3e', 'ef41f7e5745d4f2d', 'aec37c0c07847354', '6454334af1aaabd9', '71d24f4e70b1596e', 'f76db35ccf517018', '849bb6781ce6dd59', 'db085f4da5bb3a11', '77d9893ba17a1330', '2b92e1411ef38e4d', '1d08d09515970972', 'abffceaf0098faa8', 'c3b82a52e6317dcc', '0ca219e558a9ced6', '98b99eb5c3bd9603']; context = [[4, 81], [70, 113], [11, 80], [44, 92], [87, 133], [154, 212], [40, 88], [7, 86], [26, 68], [7, 81], [1, 48], [0, 70], [1, 46], [26, 82], [37, 84], [7, 51]]; loss = 0.008378 low_pass_filter = 0.300
+Epoch 0: | | 31969/? [6:02:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 31970; scene = ['1f9140d0fa42c417', 'f437e5cb02d62602', '00066b3649cc07e5', '3eaf106eb5c0841b', 'cbada5419127d257', '3484cd375bed111c', '9b6c1767f7f1e398', '0d7e98c8cb6b0f5e', 'c60321ebc88ec957', 'a9ef4a24b4d444d9', '6614f415f227fb91', '1e34f5b87ccb156f', '470ab1ead567352a', 'f992071564cfa5d7', '9beec741422ba809', 'f2851940fc2d313a']; context = [[53, 120], [59, 138], [2, 58], [0, 45], [3, 82], [1, 58], [46, 104], [12, 76], [156, 233], [26, 82], [17, 68], [74, 133], [0, 50], [112, 180], [45, 109], [38, 114]]; loss = 0.010456 low_pass_filter = 0.300
+Epoch 0: | | 31979/? [6:02:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 31980; scene = ['7b00906aa2c10f8e', 'e72abbc2e978475b', 'b7bb7eedb709a1a8', 'ae846b6a792cadc1', 'c03584d560ed0694', '789e60a632f1c397', '6af3dac3387f0c7c', 'fd7e46c14085c76d', '2b85a6b46f2ea8de', '6a11871c9643bd79', '4b641eaaec862d77', '305999e29713a998', '0fca31f2dbbd79b5', 'fee2852411318e54', '8722a564706e204b', 'd98e4f128e4fcce0']; context = [[12, 87], [2, 70], [17, 82], [54, 127], [46, 104], [12, 61], [133, 203], [47, 108], [1, 44], [15, 62], [12, 85], [18, 77], [4, 68], [9, 52], [50, 100], [190, 248]]; loss = 0.009964 low_pass_filter = 0.300
+Epoch 0: | | 31989/? [6:02:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 31990; scene = ['8b671df4b3b155bd', 'a825a8d54cd14cd0', '43b4e4c3f5ae7c81', 'aed2967513620c7f', 'a6d8d6545b09da76', 'a47a167922cfc6df', 'd29b09b5f258f7ab', 'accd0979881dc01b', 'b70eb4b085094e81', '703f43df87b35d04', 'e7d3f00df2a73605', '9efb87ace2c44272', 'cfadaab5681b639b', '68f00fec2c235f18', '608b389e6d305bea', '1e86433c39f63398']; context = [[19, 62], [12, 84], [5, 67], [121, 186], [31, 105], [44, 98], [12, 58], [50, 104], [65, 132], [44, 116], [0, 61], [126, 176], [12, 75], [11, 70], [53, 101], [130, 172]]; loss = 0.011565 low_pass_filter = 0.300
+Epoch 0: | | 31999/? [6:03:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 32000; scene = ['69d22c7380fd239b', '69339ee6456a0143', '832763a65fb58811', '92ceaeb1a468d035', '03a346966d45a7f8', '367ee8b3b9283089', '3b8a0737368f9f1c', 'd684317edf11ae29', 'd2b88190a4874f43', '490000fdd9e46476', '596cd047a1dfd450', 'dad1cefd696020b9', '615cd9e7f782afcd', '35a1d6a63d799324', 'd882246c1d9a46cd', 'c01fe55eb64e8eff']; context = [[8, 77], [52, 109], [81, 128], [19, 93], [117, 186], [51, 120], [2, 52], [0, 45], [10, 65], [126, 198], [7, 81], [106, 167], [3, 58], [12, 81], [19, 69], [1, 68]]; loss = 0.011455 low_pass_filter = 0.300
+Epoch 0: | | 32000/? [6:03:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0validation step 32000; scene = ['795919ce5d3a68bb']; context = [[1, 69]]
+Epoch 0: | | 32009/? [6:03:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 32010; scene = ['80bdd8d93d4fb6be', '57ee1cea0284514f', '14467edbc6b3c25b', '2595d3a0144c9949', '8b9a04c6ae39cd63', '7056fe2a3c1ebe7d', 'b0c532bf94eeb726', '486673d483fe843a', '47240d3fcf37fc1b', '488358b53866b7aa', 'c18ea6a77949e219', '1236c1b15bc5f11f', '633e76d7ccbeb3ed', '5140967fcd51092e', 'eedd397acee4cb4f', 'e8674463d514e8a5']; context = [[13, 68], [21, 65], [125, 184], [0, 63], [36, 88], [59, 105], [81, 140], [16, 78], [25, 82], [1, 61], [49, 124], [56, 99], [47, 119], [189, 267], [57, 105], [47, 110]]; loss = 0.010473 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 32019/? [6:03:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 32020; scene = ['eba25d15f8c70f0f', '60fa6d93cc1bdfd8', '3ffb94731fd84995', '5ae7974a40e54506', 'dfe008802b69008a', 'bf0f4614e32aa403', '2dc825f560e48ede', 'ec322c236e7a4492', '9919a90cca908f5a', '96cb00ed5d745db8', 'a7bc22395ad69b99', '979e6ee2c54274c8', '28a2551c138c1f75', 'a40cfc3d2bfdfa40', '5ac5095c5ba03d10', 'c2a4f8a0206456ff']; context = [[5, 56], [2, 48], [44, 113], [7, 49], [13, 58], [143, 186], [160, 225], [107, 151], [5, 84], [9, 63], [67, 113], [28, 107], [167, 224], [39, 87], [4, 70], [14, 58]]; loss = 0.011608 low_pass_filter = 0.300
+Epoch 0: | | 32029/? [6:03:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 32030; scene = ['6e3e003c08484cfb', '4267e41843e92621', '657bd399aa3cb0c5', 'b9f927ecdb655d3e', 'dda911b9301b1e5f', '3695468b2f5abca0', '333819a55992b14d', '413d6eaceb1a9941', '3eb88834d1d10dbd', '1b046ac48aff103f', 'f870cac9be2d72ea', '91e35e7d77764a38', 'd928ee1aa1bf62f3', '954085ee1bd41d21', '0ea02580498c6df8', 'c4dcd6a5b2da28b2']; context = [[41, 97], [18, 67], [119, 163], [83, 149], [83, 131], [38, 93], [3, 66], [37, 110], [25, 78], [10, 57], [201, 276], [28, 91], [114, 182], [215, 267], [17, 72], [99, 153]]; loss = 0.010670 low_pass_filter = 0.300
+Epoch 0: | | 32039/? [6:03:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 32040; scene = ['0ad2c2fd63c778e9', 'e68b41f0c16dc595', '8b657567165233f3', '314409cd008aa91c', '0f1c0b32d36804e5', '5714c004758116a1', '19205c6351b6cd4a', '8b1f279df13e9822', '6cccd894f3eb33c9', '01a8c5f00e17623c', '07f8f5682ad750c1', '4068a60c400421e7', '8f55e3be4fc8d508', 'ace25221c8b76123', '43073eb89fa57d37', 'a4c64169db7b2845']; context = [[127, 191], [14, 71], [73, 124], [6, 53], [3, 66], [23, 77], [133, 179], [73, 135], [10, 63], [59, 120], [0, 46], [27, 73], [34, 76], [58, 132], [16, 77], [32, 109]]; loss = 0.009620 low_pass_filter = 0.300
+Epoch 0: | | 32049/? [6:03:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 32050; scene = ['83222e191a9467b0', '92034bb11058e391', '00f785f232952963', '8a1248c358dd6faf', 'a31b01bf6a2685ff', '6ef9c4fad687cb3d', 'b4c5bf7dc0eb9b3d', 'c7b571bbd2dbf81c', 'd01a94b42a502c3d', '85b9d600d972e3ea', '4700b3794e04cb23', '1471bff70ae3f991', '304b457e50fb1b7f', 'f08afff6a1ca5fd4', '8214bac63893f32b', '2a69d7ace9e8fbbd']; context = [[137, 203], [140, 218], [9, 84], [26, 81], [0, 45], [10, 88], [32, 110], [0, 57], [47, 90], [12, 70], [0, 44], [0, 42], [85, 155], [17, 62], [8, 66], [160, 226]]; loss = 0.012833 low_pass_filter = 0.300
+Epoch 0: | | 32059/? [6:03:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 32060; scene = ['25896ac236016963', '827d4df83d6c97d9', 'dd4fa5f6bab88faa', 'b0e45d1fd8db5ba7', '3e4cc481bf540f72', '7766ed41dc09a8bc', '6347dab2e71b8e3d', 'e0106272b4009cfc', 'ae1c6669eff757fe', 'eb995245e27d4501', 'c818ac62ef056771', '1dc75a3b92202382', 'f1f2e1670095235f', '9542770bd8c00ff1', '8b348d32ebb45bb6', 'dee0cb028cfecd6c']; context = [[38, 84], [6, 77], [9, 88], [56, 104], [77, 130], [36, 83], [56, 125], [15, 82], [70, 122], [76, 150], [53, 105], [22, 94], [14, 94], [69, 142], [86, 145], [2, 73]]; loss = 0.010160 low_pass_filter = 0.300
+Epoch 0: | | 32069/? [6:03:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 32070; scene = ['b0c532bf94eeb726', '57ee1cea0284514f', 'e8b095c74936881f', 'fad62161d3241155', '5bdc119d2f948bae', 'a4d88af8b90478e9', 'fe25b6af549cfdd4', 'b6d2ebbd72606169', '0cf4981f611c76f7', 'affbce8c2df4e5f2', '2ceb20bf1158484f', 'dec6ef25c721dfaf', 'd120e35c7f9232ce', '62b4841181d253e7', '599744efab33bc17', '084f8992d2c9e1da']; context = [[0, 71], [25, 79], [18, 75], [28, 71], [70, 125], [50, 111], [12, 59], [88, 148], [27, 78], [19, 95], [24, 102], [196, 246], [189, 264], [0, 62], [46, 99], [69, 139]]; loss = 0.008244 low_pass_filter = 0.300
+Epoch 0: | | 32079/? [6:03:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 32080; scene = ['4b2b30ddbaa7cb68', 'b168081841cefe4c', 'a072787f8ed2b284', '91d676b42db66474', 'f2515e134d1027cf', '2869815c7a8bdd9d', 'e78698cd2b50c654', '56ea9797a0304222', 'f009e031239b3788', '09df5bddb6feed59', 'a4692fe78214292d', 'f722d2ef78cc3c1d', '1255b860546789fa', 'a80cb16e79664c79', '6434fa7bf139fd26', '4ebdff8b4c93a49a']; context = [[14, 68], [145, 191], [56, 122], [33, 86], [9, 58], [10, 56], [121, 189], [95, 168], [104, 163], [102, 181], [11, 60], [10, 72], [41, 111], [196, 248], [9, 71], [15, 60]]; loss = 0.011348 low_pass_filter = 0.300
+Epoch 0: | | 32089/? [6:04:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 32090; scene = ['fbda7cc833f25a78', 'e99bc2b58b6f2ccd', '3df9d0d002a0a0c0', 'a52931a53e49657f', 'b076420679a04731', '0a004eb4d08f31dc', '99930c26f84df602', '331ac880de1fc38e', '20b47c73dfa8ad75', '7dfb75974e20d9f6', '9ca409a970f99e4e', 'f022925fbe756dfc', 'b4e9a9bf77f35701', '95f2be7bb8303f50', '4ca3eaa982403fcc', '2868d67281c7dad0']; context = [[31, 109], [3, 52], [57, 104], [58, 131], [43, 99], [0, 79], [15, 89], [11, 75], [9, 62], [63, 110], [45, 111], [5, 77], [4, 68], [4, 52], [29, 106], [9, 57]]; loss = 0.008460 low_pass_filter = 0.300
+Epoch 0: | | 32099/? [6:04:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 32100; scene = ['2a569041a6d85d9c', '965b54022afdb14f', '2a15c529dc6ff2c0', 'f528636e1daa4cf1', 'e0c616483f73f8bb', '4c60319eacf0b3d0', '0e7656a39389616d', '3b3eac398b0f59ba', 'cd4ded36b30a9d00', '92fc6b3fccfd274d', 'd2a8948d03eafd29', '48db07645ac23318', '572c532867aeacad', 'bee6c3396998772e', 'dd0efe0cbe055661', '92d8771ac0ef0938']; context = [[38, 104], [32, 96], [95, 162], [58, 102], [0, 44], [5, 53], [68, 111], [44, 93], [205, 265], [3, 59], [72, 115], [80, 149], [44, 112], [32, 92], [173, 216], [35, 87]]; loss = 0.009382 low_pass_filter = 0.300
+Epoch 0: | | 32109/? [6:04:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 32110; scene = ['1f8678091e653a51', '1e088f1e02f4fc27', '0df3aa54019f7377', 'c56a58f09e4b6e88', '6ae24966d1f85a21', 'f821abf27153e65e', '82ede6655dea491c', '32d2ac72c9edfbf3', '278a52723c725e85', '2805a4d6ca7fd6d6', 'b98dd6d8995428d5', '25b1bf23672016bb', '946de83b94c51090', '5b081cc86f2d4bd7', 'd1588c9485185a4c', '17643c3faac85272']; context = [[33, 107], [31, 111], [40, 86], [11, 85], [13, 83], [1, 48], [27, 73], [0, 68], [3, 78], [51, 123], [1, 76], [2, 74], [172, 223], [0, 67], [57, 119], [1, 54]]; loss = 0.013714 low_pass_filter = 0.300
+Epoch 0: | | 32119/? [6:04:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 32120; scene = ['cadae2515c0083e4', '65a6c20a8ea9f4c9', 'a050bb08dbd32be3', '6e1dab31049b93eb', '7e943005dfaafdc4', '75b739724bcf0f74', 'eb40aaecc4b724ab', 'ccaac6fcccd9da08', 'c0af5ed42bc049ee', '25ec2f2b3a0d6128', 'a24967a730ebc2fc', '19f106c5f56ad5e5', '6223b736736550fb', '7c6e11f01c36ad07', '41bbcb5954a17c24', '7630cb2752ecf0a1']; context = [[12, 70], [40, 97], [84, 139], [3, 62], [9, 88], [0, 42], [92, 157], [130, 173], [70, 124], [0, 49], [0, 42], [4, 71], [12, 80], [13, 83], [119, 163], [89, 143]]; loss = 0.013497 low_pass_filter = 0.300
+Epoch 0: | | 32129/? [6:04:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 32130; scene = ['c43f2afac41be9f0', 'f6cf7564dcf914a6', 'dd3e295d87254211', '5d04fab0c0b812c2', '07d4ca1dbb7321fa', '4812a70132f58027', 'ba5622b5bba6548e', '2a0224f9004eb606', 'ed03a5c85c48f284', 'c09f0974b1886497', '32ee1cb2b3b67020', '679f702bf4343e29', '8fe5585de32fdc87', '4261b27934b455d6', 'e338ac884c0b91fc', 'de279dc70da4eefb']; context = [[28, 99], [123, 202], [144, 222], [11, 69], [0, 43], [70, 126], [42, 86], [37, 93], [17, 62], [113, 162], [21, 77], [6, 48], [36, 112], [31, 103], [3, 65], [25, 67]]; loss = 0.012468 low_pass_filter = 0.300
+Epoch 0: | | 32139/? [6:04:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 32140; scene = ['83c84d2d35b95f97', '56e8b9541d2225d6', 'dfa6db6f3959e2ec', '906fb344c7f0c4b4', 'ad0b15a79f791403', '7738cc583bce642d', '8006919da696dee6', '61cb88c7a8387ea1', '1e75265d74b6b717', '34f84d9c73f9aba6', '61e58c0e1e989379', '43f5a800c0b89a68', '6e227c266fdbe6be', 'e1d4b9c7b39aa748', '5d69e869219fef05', '0e2268381b97888e']; context = [[65, 110], [19, 67], [88, 158], [11, 55], [17, 65], [73, 119], [4, 52], [0, 51], [33, 106], [35, 97], [186, 230], [8, 72], [56, 106], [182, 234], [21, 93], [91, 152]]; loss = 0.010620 low_pass_filter = 0.300
+Epoch 0: | | 32149/? [6:04:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 32150; scene = ['bd2cdd0dd1240f74', '9346423fdfeb4f9c', '283963dccb852f84', 'b95185f28371e386', 'ffac01816b4f0f08', '2d9d2b3d1a7fb3ed', '2133828ac8c5d46b', '00e0fd7343aab586', '1f268c1c41e9163b', 'c579294a2271154e', '9e1fe1ef4c790152', '07c292c4e24e752f', '7cfac1c5c75d8cb2', '9364344ee7f3c7e0', 'cdad2b86094189ce', 'f31541473a1526ee']; context = [[73, 140], [7, 69], [6, 68], [1, 68], [22, 98], [9, 54], [58, 116], [39, 96], [5, 47], [6, 83], [1, 62], [102, 176], [2, 77], [5, 76], [12, 67], [43, 110]]; loss = 0.010349 low_pass_filter = 0.300
+Epoch 0: | | 32159/? [6:04:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 32160; scene = ['912a0d7b5b080610', '9aacdb837e01170f', 'd4bd2dcc63c5ea54', 'c2d169718514f0a8', 'ed35350baa1d1fb2', '3c9ad99cce6558da', 'f44a0546760ccdb6', '7637453da2bff547', 'c2b2d238f9214068', '1250e0831ff05593', '83496ae8367a6c96', 'e3e252f0494ff061', '0362bc618a029222', '7f8cd1f3c9acb8f8', '0d1c5e5e77dfc06b', '623e9b4a6f37f93c']; context = [[76, 120], [83, 155], [2, 48], [75, 132], [6, 53], [11, 74], [3, 62], [58, 131], [4, 75], [4, 52], [25, 93], [46, 96], [8, 78], [15, 68], [148, 205], [29, 106]]; loss = 0.012553 low_pass_filter = 0.300
+Epoch 0: | | 32169/? [6:04:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 32170; scene = ['7406df8fa4c7b104', '086b3277600bd40a', '3a18102d487fa1c4', '1f94163ee183ece1', '5eb97458751d8e78', '6d9e7ac4f5113cbc', 'f39e7fd0e8f5f7bb', '835c947a070ff657', '35e7870c4f60c02e', '640e53b0da14830d', '166d39209d7cc4c3', '4648b54a491a37e2', '9a198a789f8681ac', '97efceb3be1bd8df', 'ed96b438bf4f41bc', '71edec55f938858e']; context = [[14, 71], [47, 103], [108, 165], [1, 76], [0, 42], [6, 73], [43, 99], [79, 148], [14, 69], [5, 58], [204, 251], [144, 191], [9, 79], [53, 115], [12, 61], [96, 149]]; loss = 0.009786 low_pass_filter = 0.300
+Epoch 0: | | 32179/? [6:05:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 32180; scene = ['78b31552d8e87131', '5fe7c4f4a4702b92', '43e02f5bd7d7fa5c', 'cd9e17454c9fce39', '388b4a886ab03918', 'ead46a318c2acc92', 'cf6c752f6f5f28ac', '1091902caff03514', '35f49016dbf93793', 'bdc7ee8f76d41ecd', 'ea749a795c180317', '6a522c0ce8243b77', 'f3133558a4b75863', 'ef022a0071e11efd', '09f304bfe09e62d9', '2d0eb0ce335b6dcc']; context = [[60, 121], [24, 85], [7, 70], [16, 59], [48, 94], [102, 144], [73, 130], [145, 212], [20, 81], [83, 133], [91, 156], [196, 246], [6, 67], [1, 72], [106, 151], [42, 86]]; loss = 0.009441 low_pass_filter = 0.300
+Epoch 0: | | 32189/? [6:05:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 32190; scene = ['a07ad67e90a850d6', '7556b51a5801eea1', '775484920d4f3869', 'cc6b3af1b9d8cb09', '5abf9697e2bf74bb', '8f9d510430000174', '5f3b0fb70f67cc40', 'b59e83762394e574', 'b434dc6c5924ebfe', '9593a5df8199ebf8', '892832f1fa164c3b', 'e0c715cd001ac816', 'f3837e4187e78b72', '8ebe4490fa70704a', 'f5216b60b45423ee', 'e41d5e0099b0696f']; context = [[2, 62], [63, 115], [28, 70], [14, 87], [27, 89], [70, 123], [60, 129], [55, 125], [30, 104], [31, 108], [11, 64], [21, 81], [29, 99], [23, 96], [93, 135], [21, 78]]; loss = 0.012231 low_pass_filter = 0.300
+Epoch 0: | | 32199/? [6:05:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 32200; scene = ['3b8cbc82edc7da25', '784a09499e4f5d80', 'a3dee13fa0216d57', 'b0ee123a8cfc8e62', 'd1d992e581136ac6', '7fd40cef6afc5ad7', 'eee22c9d84b79d89', '3d7a200dab472990', '5c9b898102b16eae', 'af1aad7fedbf1fc7', '4c912bfd124f027a', '1da9a7ba6e9d922c', '54c3bd97518592ff', '914883e0a8db9b6e', 'f49161489bca0703', 'ce01feed3153c5e2']; context = [[5, 48], [0, 68], [96, 164], [66, 145], [6, 70], [5, 51], [27, 78], [54, 103], [138, 203], [75, 147], [16, 75], [0, 53], [31, 77], [57, 100], [16, 84], [19, 93]]; loss = 0.008717 low_pass_filter = 0.300
+Epoch 0: | | 32209/? [6:05:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 32210; scene = ['d52a9764036894ac', 'e62ddf130ef1c47d', '81f14aa47558e90e', '0f5392e04bb19f8c', 'da5de01cf7e41541', 'c2a0b337dfce828a', '0df8d4e3cd5241e6', 'df5695b1d749fefa', '813050433c8b20bd', '7102d9010349a215', 'b710c863c5c1e1cd', '360d9c49906f49c3', '42c11fe086c50ef3', '29b3050a9c0f3135', 'c9625b7ca47d8394', 'f2db375a31ceccec']; context = [[214, 264], [105, 181], [71, 144], [38, 107], [83, 134], [6, 71], [5, 50], [7, 70], [7, 61], [72, 123], [30, 101], [98, 144], [59, 109], [81, 125], [6, 69], [119, 196]]; loss = 0.012156 low_pass_filter = 0.300
+Epoch 0: | | 32219/? [6:05:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 32220; scene = ['e777eb96debc8a04', 'fc9eaf68cf867fff', 'bb3914c6e9a2cca3', '62df70fdddb451ba', '99577030a38ef264', '009ded7e45b6d15f', 'b79c18c793f776f3', 'bc658fe0b4f75140', '9eeb527fbe6dc6e0', 'f7ddde410c09af50', '5b195bc1030ac237', '4bcd7cbb7a1397de', '833036a1cf009daf', 'c3af30eccbfd3e19', 'b118e65ba0895ec6', '09854e27eba8832e']; context = [[7, 67], [2, 74], [2, 55], [11, 57], [32, 100], [69, 113], [16, 74], [15, 83], [40, 93], [9, 78], [32, 110], [26, 87], [3, 45], [19, 77], [87, 131], [4, 65]]; loss = 0.009638 low_pass_filter = 0.300
+Epoch 0: | | 32229/? [6:05:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 32230; scene = ['c001dd0eab98cdd4', '7b9fbda8a269e333', '955983545a8add83', 'eb03f68ba74e860b', '017ceac43c423ed1', '7d3fb0628f79dee9', '64ac5e883d17b31e', '442516502d2ea879', 'c2b4c2d376a4a2bb', '03aeb7cc51b34332', '47a5504a363ffd80', '3307278c57b32d21', '28067dda0ffd7a29', '518b5b152dbe9bed', '9a3cd88e7992e094', '3d48789267dda573']; context = [[21, 86], [118, 173], [28, 99], [15, 65], [31, 79], [37, 108], [26, 91], [74, 125], [15, 94], [143, 202], [28, 99], [6, 65], [48, 114], [48, 121], [19, 80], [32, 100]]; loss = 0.011231 low_pass_filter = 0.300
+Epoch 0: | | 32239/? [6:05:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 32240; scene = ['bfacba0a18500c13', '2dd2a1adc0c1d4cc', 'af37a973266b99fc', '96fbaabf762077c5', '00d80d0e284dac72', '841c8115deb71c25', 'a78020b5a2368473', 'f75e151b66f83348', 'a90cd28742cee5e0', '9f3bcd7cc09b869d', '6c3a059a4bb42347', '3af84daf652d5c9d', 'b220e8591b6048ba', 'c0b9d76884655dcd', '5f9e388efa364f74', '5e55f309753b5ce4']; context = [[2, 65], [105, 156], [14, 69], [0, 42], [7, 72], [21, 68], [2, 54], [25, 96], [4, 61], [42, 105], [9, 54], [30, 87], [42, 119], [121, 177], [12, 67], [16, 95]]; loss = 0.009051 low_pass_filter = 0.300
+Epoch 0: | | 32249/? [6:05:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 32250; scene = ['4e00dcdc5aceb7d0', '284acf34f18ddb91', 'b848a571e61f54b9', '68c57df4ae8cdde0', 'eab5a02951e9e825', '1f45f564dd4f8847', '4521b22b9c889195', 'd471e6382b35d0b6', '7b84a9e2e7d8aa2c', '7816d1ccf7f11523', '8d6927aa2b7c5640', '3418a78f3023129d', 'c6f898024324352c', 'cc71ef1d3925caa8', '1adf1217ee3b7ebc', '14b71f6d697413ae']; context = [[101, 150], [3, 63], [16, 60], [214, 267], [42, 96], [4, 75], [27, 83], [23, 69], [1, 47], [74, 150], [4, 55], [5, 57], [132, 203], [25, 91], [20, 96], [208, 276]]; loss = 0.010717 low_pass_filter = 0.300
+Epoch 0: | | 32259/? [6:05:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 32260; scene = ['11db2e14d64c1b42', '51f80353f6008c4f', '72cdd65567fa4c64', '85f5116d79acb22a', '12048355d2052d78', 'ac9bbd8efad4b995', '5b7e5ce68733bcc4', '7eae59259910a160', 'd5b845bbe77ba09a', '237cc7f439ad06d3', '09559047be258511', '29fc478263dccc7e', '1985f9114dd54e64', '79152a348ad56998', '9e3180e551bd74dd', '723fb9aa3a7823b2']; context = [[115, 162], [121, 176], [0, 62], [7, 86], [13, 58], [25, 88], [146, 197], [190, 269], [4, 59], [19, 71], [65, 129], [11, 86], [1, 79], [72, 114], [193, 255], [26, 80]]; loss = 0.010457 low_pass_filter = 0.300
+Epoch 0: | | 32269/? [6:06:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 32270; scene = ['61a80bb0d63ba70b', 'f71ec53991a215bd', 'f9be4a5ec874f825', 'c2a64bcee14b5faf', '7b36d632ebd71fed', '1f4695b2e5f03cfc', '2276bb8e325107c1', 'ecd91cb5b8acbad9', '30878b54736367da', 'c520e25d5bd303ec', '7ce59b93cd4d98ac', '69a31234f2d534f3', 'bfa9042d0f35d6df', '1e55d866b0335343', '37f5c9bd33e92d4d', '63d30096d9447949']; context = [[73, 123], [192, 256], [53, 113], [103, 164], [1, 46], [9, 53], [45, 101], [42, 107], [8, 79], [4, 80], [7, 76], [14, 85], [5, 56], [41, 113], [62, 140], [52, 111]]; loss = 0.011539 low_pass_filter = 0.300
+Epoch 0: | | 32279/? [6:06:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 32280; scene = ['5a2623f2591a7022', '203fddb72183aa38', '9e1d293a1a5e15f2', '2f1a90635ce346bf', '883a40fe5150d149', '882350c0ebe1872a', '9ac8241a27b0ec6d', 'b8c497090fba93d4', '99a11af3dcb2bd13', 'e7fcb10ae826b13e', '12f629409a280733', '7d634ffc2785a9f4', '10542b29d3d73bfd', 'f81c46fec218b506', '8dbf79bf8fb56328', '90b0847d0ed940fb']; context = [[13, 64], [64, 129], [19, 84], [129, 174], [2, 78], [29, 85], [147, 203], [26, 82], [183, 236], [9, 69], [26, 70], [33, 80], [46, 119], [80, 143], [45, 87], [32, 82]]; loss = 0.009783 low_pass_filter = 0.300
+Epoch 0: | | 32289/? [6:06:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 32290; scene = ['e79947f7de6aaec1', '6633e46bac1e9dc7', '5cd4bb35d88b3270', '5f1df53ecde43f53', 'bcab3c0184450241', '123ec5b077350b0b', 'c87cba5fcd8b6849', '6e420f4dbcaa5141', '8beeeba1e78f0197', 'eb8ffb027521cd3f', 'ed06625ae33b2ef8', '6e6e7074669b3d2e', '41d835aa772eac7c', 'be3b7eeea39e3b03', '83506959f8fc71ec', '1b463ac70f061fdc']; context = [[12, 68], [60, 108], [3, 58], [8, 64], [47, 108], [6, 83], [30, 75], [11, 59], [4, 62], [14, 89], [33, 96], [127, 173], [14, 63], [63, 130], [2, 78], [26, 83]]; loss = 0.010796 low_pass_filter = 0.300
+Epoch 0: | | 32299/? [6:06:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 32300; scene = ['e82737e53b7f6515', 'de504bd8de0b34d7', 'f02194b56e76b29f', '1ebe5e9f0f00bd77', '6016abdc3fcd547d', 'cdef81148d7e3223', '3a2b8f56c88c71d6', '23d449ed98df6459', 'b3c1b2ae6ceafc55', 'cefc36d11fdca344', 'd8a359d3413e64a9', '3cca2a2fcb0a67a9', '03df529a4693d5a8', 'b4ed77fd07f1b8e5', 'ff809745bb8f0576', 'c5ec7eb6c091d9d1']; context = [[35, 79], [17, 72], [43, 91], [68, 134], [9, 60], [34, 100], [8, 79], [9, 66], [11, 87], [28, 96], [137, 197], [24, 87], [76, 138], [17, 93], [5, 53], [31, 82]]; loss = 0.010515 low_pass_filter = 0.300
+Epoch 0: | | 32309/? [6:06:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 32310; scene = ['4ec6a005f3d133c6', 'f6bbe443c64d2d10', 'ee6e6ddb7d8979dd', '872c6a4da1b90652', 'c9b909de78f0cecf', '4ace5ceab3baa8b9', '7e0fa7fcd96b897b', '83d36bc79b6ddd5f', 'cfcb5dc84a930779', 'd8d76c5a94df95f6', '05e57498aeca6d81', 'a6f6a363e768c68b', 'e5545e30f772706a', 'dc015aae44af1ee3', '8d96d7e89d8e0026', '7d1a5c5ed1505601']; context = [[9, 68], [26, 79], [17, 88], [4, 53], [0, 69], [67, 135], [14, 62], [55, 99], [112, 174], [19, 85], [1, 75], [91, 160], [168, 240], [11, 56], [26, 80], [37, 89]]; loss = 0.010622 low_pass_filter = 0.300
+Epoch 0: | | 32319/? [6:06:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 32320; scene = ['10e7b2b1f440fc8b', '23eecb3bfb301179', 'a5ca9ae985c618c1', '37cd61314b1e47c9', '976d6143db761f55', 'c0a8930b06ab9a0c', '2447d6b6745ed6f6', '6998b51bcccaec89', 'da828b199e8c4a73', 'ba892f5e3631896f', 'f41915d4a145f023', '67748b0b9af1a23d', 'c4486fea610e2997', '3e728ab85f6d379a', 'ba8b46a03c44a6c8', 'dd6ba5f92f331866']; context = [[213, 263], [180, 257], [3, 76], [21, 85], [51, 116], [36, 87], [65, 112], [5, 59], [25, 89], [53, 124], [62, 140], [53, 120], [8, 51], [79, 159], [0, 70], [2, 81]]; loss = 0.011399 low_pass_filter = 0.300
+Epoch 0: | | 32329/? [6:06:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 32330; scene = ['bef65560c9569e26', '662c6e07e281ca3a', '92bc19473fe0069c', 'b1177848ab8158b4', 'c6b620d3a892405f', 'e59a64cfbd22e6ad', 'db55f6cff323e242', '1bc07b4570b5f3b7', '41ea63dff889dba6', 'a74868eb24abfcbf', 'e4d0ac09522a4366', '8595e050624067b9', 'ef0ba6c772a7582a', '4f3469437e46bd88', '1fa1d107663af676', 'e1552e01242047f0']; context = [[6, 49], [17, 77], [16, 83], [50, 130], [61, 135], [45, 109], [24, 73], [2, 45], [32, 78], [1, 45], [83, 156], [66, 108], [19, 68], [17, 81], [11, 70], [7, 56]]; loss = 0.009339 low_pass_filter = 0.300
+Epoch 0: | | 32339/? [6:06:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 32340; scene = ['065a1d221681a033', 'af5d0d9ca92db4fc', '3e5515c19ef7ef97', '2d0593bbf7b581af', 'f2e1a27051a404e6', 'c865bccf7f672e38', '7abfc06afa782800', 'e978e66867316a9c', '571499e260e393fe', '9543fcde99db112f', 'ea39ba8c0ab4573c', 'd0820968c10c3d0f', '7aa6654b0279e4fa', '7cd6ba2e6044e630', '0da284747a8e4755', '9dfb4143918aeff9']; context = [[128, 179], [35, 104], [82, 128], [0, 71], [59, 134], [118, 163], [5, 82], [0, 64], [15, 73], [9, 75], [14, 58], [12, 72], [16, 92], [15, 65], [203, 264], [59, 122]]; loss = 0.011127 low_pass_filter = 0.300
+Epoch 0: | | 32349/? [6:06:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 32350; scene = ['f86499380731b8d5', 'adf73db30b5dc7ff', 'de95779cdbeaa19a', '1f0353d32c568894', '3602926587799c64', 'fe85b3be4adb42aa', '776f9105ae37722c', '0e1d3e59eb57c68a', '252543ae4021a637', '9c595a0f46169c48', '785b34dd2c077fad', '8e4f26e204962462', '53700a49e8dbf513', 'd516ec3d191a3e16', '2028eac12a944ac1', '8cd8d0627dd7f3d7']; context = [[1, 45], [72, 120], [17, 80], [8, 75], [31, 82], [1, 57], [38, 95], [24, 103], [20, 96], [0, 77], [35, 80], [0, 59], [48, 119], [126, 187], [31, 90], [65, 140]]; loss = 0.009867 low_pass_filter = 0.300
+Epoch 0: | | 32359/? [6:07:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 32360; scene = ['b4af6a20d451c028', '2ec64b69d4de1d90', '5127aacb328dda4d', 'd57dcea54e702aad', 'b681b468da4fbb88', '53b2d5f02d25fb18', 'acd6a14a1f559c9d', 'a11710f5d1559c09', '2ebcdec1c308edbd', '65443da844dd7f20', '9ae102209c569657', '87708b0f59b39d38', '4aefc4abf5184050', '3e6e41007d3aa646', 'bc3aca2a1720fad2', '40a4e564947f3990']; context = [[166, 213], [8, 66], [9, 64], [113, 190], [6, 55], [101, 179], [32, 91], [29, 95], [1, 58], [37, 82], [20, 93], [28, 80], [9, 53], [2, 74], [3, 51], [19, 62]]; loss = 0.008652 low_pass_filter = 0.300
+Epoch 0: | | 32369/? [6:07:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 32370; scene = ['39bb3dcd73cc5cef', '6c5f5f8e45448ee9', '6591d9b1d5cbe20e', '09211f0cadc25024', 'fd5c8beb94f9eab4', 'a13c0e49a8eb99ca', '884d301a8603ad01', 'd7ca1248e911d391', 'b00f502f468fa5e1', 'bfa559b4958cc3f0', '2cd72af45b4093cb', 'e73c3c5ae18982a9', '04d49eaed769debf', 'efcc02500ae5f63a', 'b6f646046b2a6c12', '15c33c76f8a7238e']; context = [[36, 92], [101, 175], [8, 65], [85, 134], [195, 269], [31, 102], [214, 258], [17, 88], [8, 68], [5, 82], [30, 106], [1, 63], [21, 78], [37, 94], [3, 64], [30, 79]]; loss = 0.012829 low_pass_filter = 0.300
+Epoch 0: | | 32379/? [6:07:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 32380; scene = ['9d4dc226fb3612d3', 'fc6b484968a872c5', 'f2dfbbcbe2f3ccd5', 'b3e2ed69a99b2d7c', 'f9976cb2e4c6dfc8', 'b9086d2cecefe07d', '93aaaa30360ae75b', 'e154da90fb5e072e', '13cbdf0bfe2b9791', '810d97e97e862d02', 'f030216648778de8', 'b8af5b1dafdf212f', '8bc0f7f6b2dd43ad', '06779b91ed31eaf1', '859ab2c13678fbc4', '4f211f459a039d17']; context = [[25, 75], [66, 123], [0, 69], [11, 87], [20, 70], [3, 79], [14, 81], [143, 193], [38, 83], [27, 86], [8, 52], [7, 80], [13, 68], [21, 76], [137, 196], [32, 94]]; loss = 0.011367 low_pass_filter = 0.300
+Epoch 0: | | 32389/? [6:07:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 32390; scene = ['57dae64b3fb6298b', 'b399dfbf864d3076', 'e7f820327fa7287a', '7225310f01007948', '7a9e2a1db5d0c45b', 'e13d24cb77bd5842', '57b1333abbaea573', '45881f9f6f662df4', '348e39e72320bf9b', '2c7822582c375f00', '1626e670755b1d8c', '14b4d62a983a3e42', 'aecba92e05f84330', '2b00682d03aed4d2', '67c15e09c87965f1', 'cc00a1b790a55930']; context = [[13, 72], [49, 119], [6, 66], [138, 211], [46, 89], [33, 94], [5, 66], [78, 145], [2, 74], [8, 64], [10, 80], [20, 86], [135, 187], [27, 79], [0, 75], [83, 143]]; loss = 0.009486 low_pass_filter = 0.300
+Epoch 0: | | 32399/? [6:07:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 32400; scene = ['6c086cb6262004f4', '7026a142e49b73a2', '975cc049e8005ca9', '142cb821add92aa7', '2e91b67f2ece02be', '662b8fd7e0234fb7', 'fb0cc810fda13456', '8fe01181bfc7318d', 'b30c5363681d3c16', '61f2bd9a20b9278c', '46bcbdd06066acb6', 'e9ae04619bdeca8d', '828c3898047387d3', 'bf84e0f38a25ff6b', '26bcaa3454a97edc', 'c229ae59e2a819b9']; context = [[88, 165], [151, 217], [2, 79], [26, 96], [21, 82], [89, 139], [9, 90], [0, 44], [32, 93], [1, 59], [130, 204], [105, 175], [110, 155], [195, 242], [8, 63], [0, 42]]; loss = 0.011289 low_pass_filter = 0.300
+Epoch 0: | | 32409/? [6:07:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 32410; scene = ['106afcce4381c331', 'd3571aa640d9ebe8', 'a399b803b264fc36', 'b391c3d9cf1425f3', 'da1a07f38e11cbf7', 'b763c3e12ee88357', '32db9d241a97c624', '9af1d032591b57af', '0246dfe96b27b4ce', '26e48cac44f92e26', '596bf8d5e28efd1d', '66f718b2953961d4', '7419ce7f5cb808ee', '57abed33a7c3652c', 'c119ecc8f4393c06', '92c72363c53e8498']; context = [[1, 43], [39, 101], [1, 62], [3, 49], [13, 66], [114, 172], [28, 109], [159, 216], [193, 254], [106, 149], [150, 197], [28, 77], [214, 267], [43, 88], [3, 50], [8, 73]]; loss = 0.010484 low_pass_filter = 0.300
+Epoch 0: | | 32419/? [6:07:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 32420; scene = ['2afd52c7f7565085', 'fd4300e825438542', '3c1c6918bd9e957d', '654b46df581afd67', '185512021ed73da1', 'c6f1fe56231e21f9', 'f8d4b903539beed2', 'ae1c4103e81c6210', 'c554e8e8471d5e59', '227ca171b4fd59c7', 'e062e2320ff7cc68', '8fa13f57998d5db1', '7c68690722edb3cf', '6afad1b7b4d32884', '7e8e2c1ec16ca90a', '783014bf9bd8342a']; context = [[19, 91], [3, 71], [110, 166], [19, 85], [8, 82], [15, 78], [1, 74], [184, 244], [65, 123], [6, 56], [61, 117], [3, 68], [2, 72], [111, 159], [0, 49], [58, 102]]; loss = 0.010145 low_pass_filter = 0.300
+Epoch 0: | | 32429/? [6:07:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 32430; scene = ['cb168186fdab3271', '4775cc190304e5e1', 'bcec4cead9a8da81', 'db93b3d79443867a', '70c9c243f90fe538', '15acd9257cdd6713', '52fdb6f042edafa2', '0ca076f1e292486c', '2a652e3614e59c80', 'aa2883136b009b8f', 'dc60b19f3ec8f234', '5a721534e874a9d8', 'ab717e6921f1e855', '06f32680a0705bdd', '0d0184bdc09e63cb', '6b16365848d1ad7e']; context = [[117, 195], [0, 43], [151, 203], [61, 103], [78, 125], [2, 44], [47, 101], [106, 181], [8, 77], [64, 113], [4, 59], [133, 179], [137, 179], [25, 87], [31, 73], [8, 74]]; loss = 0.009791 low_pass_filter = 0.300
+Epoch 0: | | 32439/? [6:07:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 32440; scene = ['f722d2ef78cc3c1d', '1255b860546789fa', '8ce0d51d0982957d', 'b05542bd675891b7', 'a9700a57783f7991', 'f713339ac174aba0', 'caa2c46d63a3171c', 'a08ff72bb7ee8769', '1257d34372ddf7a1', '07d4db2e0cafb1b9', '57c99af21b6e625d', '9cd573a09adcac51', '8b43ca18bba45f5f', '5633a361f38d251b', '15530e3a36759071', '40a3d9a13d9ac652']; context = [[16, 58], [226, 273], [47, 97], [14, 81], [83, 144], [11, 76], [72, 143], [6, 78], [10, 85], [3, 81], [23, 80], [198, 268], [13, 91], [1, 71], [166, 209], [0, 79]]; loss = 0.012461 low_pass_filter = 0.300
+Epoch 0: | | 32449/? [6:08:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 32450; scene = ['f757d683875ba54a', 'e22326b78f12ffdc', '346f36ef9992c30c', '83e1a42fa8e4b9cb', 'cd0fd8b0c6223804', '0132c785e29d4afb', '7a72da90f59e10b0', '8f04ddfa3b4e7c25', '9d4c14c422d92f43', '7c710ef6368c4455', '287641eb154f6cce', 'a10eab118e2d8654', '51a1a9e840bda41d', '92628ee5e4163c4a', '173904ae7dc21f8c', '571c726d284c5fef']; context = [[4, 49], [96, 160], [181, 253], [1, 64], [6, 84], [4, 55], [30, 105], [5, 47], [101, 177], [65, 112], [11, 60], [52, 116], [70, 132], [21, 83], [12, 82], [92, 157]]; loss = 0.009620 low_pass_filter = 0.300
+Epoch 0: | | 32459/? [6:08:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 32460; scene = ['40e5a3bb5f8594ea', 'ad9fb9be955d5f75', 'fb602e807115895f', '0603807853f0f013', '662c37a6cfd717e0', '3378ab216551f600', '432f64556c7cdfa2', '32ac3a3e45fea2f2', '32f09d12fded2a2d', '071808f628241b81', '57842a9de1745147', '9222df4e186ed96f', 'b8176bf54449942c', '0f20869ca54a9011', '5f682ba84996ef9d', 'e04c8f59aa6d3c50']; context = [[3, 75], [47, 96], [105, 170], [12, 60], [35, 106], [4, 47], [83, 136], [1, 44], [8, 77], [92, 164], [1, 58], [20, 64], [26, 88], [125, 170], [6, 50], [91, 153]]; loss = 0.010384 low_pass_filter = 0.300
+Epoch 0: | | 32469/? [6:08:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 32470; scene = ['ba8683c7d9392cae', 'a157e3e707b308a8', '31bfa11b146a0cc5', 'e49d2c550292dd20', '37c330bfb9326e05', '7ab3fe4ec2cc2acf', '91084cd51335fc1d', '39197f6d0e819f9e', '27486603b495a7bd', 'e7521b22cd5de37f', 'c0d438d7bcda6b1d', '7c050554a8ec79e9', '7654d848e57551a4', 'b4cc4802ced85f9b', '625bfa26d60c3834', '019368aa1220be29']; context = [[0, 46], [27, 84], [34, 81], [20, 94], [0, 68], [36, 98], [10, 76], [9, 56], [0, 54], [56, 119], [68, 110], [63, 118], [7, 52], [4, 84], [29, 104], [1, 70]]; loss = 0.011679 low_pass_filter = 0.300
+Epoch 0: | | 32479/? [6:08:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 32480; scene = ['657a10aa562aa304', '370afce22c2aa02e', 'dce6060a16b7048a', '22b738ea36c74818', 'ff4681081044a814', '279a65a2b00f1405', '6a5e3b521dc9aaa3', '179a6f32fcf79447', 'd9697be3b5b49a65', '351fef11b73749a0', '1a7c9e811045bd7c', '987d78cac8e6b4b7', '418919a8c9bdc66e', 'fff7d26426284b52', '16360d5aa6b5ff46', '2a04010c4f49ea58']; context = [[20, 78], [27, 95], [12, 65], [19, 86], [11, 75], [68, 110], [0, 80], [38, 107], [0, 74], [9, 69], [83, 130], [17, 61], [126, 207], [2, 83], [1, 54], [49, 113]]; loss = 0.011146 low_pass_filter = 0.300
+Epoch 0: | | 32489/? [6:08:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 32490; scene = ['d0671d8cba320b2b', '2060df8f645c1b99', '0ffb281660c6cb11', 'c092a25d4ba3ff11', '9d83d265a6f6743e', '08da23838ee6e23b', '644c17fea392fcad', '8436e54d23557eb1', 'f40f47e63ea7e42f', '2d4ba71e2e29a35b', 'cd2c889d9fd62118', '4d7f27209cb09538', '423dece8f9f8b4f6', '1aff412e9382cd01', '5a25ef5428d4a542', 'd15676d8db5e0db0']; context = [[25, 96], [23, 88], [9, 71], [21, 73], [1, 54], [1, 82], [0, 46], [56, 109], [4, 67], [5, 66], [23, 103], [7, 49], [76, 143], [7, 59], [14, 70], [58, 103]]; loss = 0.008391 low_pass_filter = 0.300
+Epoch 0: | | 32499/? [6:08:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 32500; scene = ['6137edc44b258c7a', '2e3434631ce1af06', 'eb1aae21845c22aa', 'c6f7b19be98213b6', '1f8257e0602fe31a', 'c9e5ed3f0a9874f4', '894a11022b502056', '54b523ecf498725f', 'd5e84d05cfd4db30', '46caf0405acfa1d7', '3111e5ad7ec9f39d', 'b6dd69cee72df5a3', '753238098c2307cc', 'b7003ac834dc298b', '6ecb3d64666d856e', 'b7f9c567a87b7c9f']; context = [[157, 207], [0, 80], [42, 97], [6, 66], [36, 78], [48, 124], [22, 64], [2, 51], [5, 56], [15, 91], [152, 202], [4, 52], [43, 95], [3, 55], [62, 127], [36, 89]]; loss = 0.011035 low_pass_filter = 0.300
+Epoch 0: | | 32509/? [6:08:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 32510; scene = ['73c0efa320a47a6e', '460d2009e8c97d4e', 'e1e06af93de0e70f', '874e813188a281e4', '175b05b368c133e7', '4905dd1533b8ffb2', '5c399d154f879440', 'ef706ea61b3c2e63', '3281beb44b21ae80', 'd70552f02e4c18ee', 'afd2942e07cd0a89', '562a651f76555c16', '01ed204a90430be3', '29ad06f3162b2bc1', 'ca093a3d6935cd2d', 'a65117bc372d4f2a']; context = [[62, 110], [11, 62], [8, 60], [7, 49], [72, 153], [14, 66], [24, 68], [20, 91], [66, 108], [10, 58], [23, 80], [62, 113], [5, 82], [19, 69], [7, 73], [14, 62]]; loss = 0.010454 low_pass_filter = 0.300
+Epoch 0: | | 32519/? [6:08:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 32520; scene = ['4f9e0f20a0596484', 'c6b59c06634125d4', '66c7705eadababf2', '82a44bdd6723ac3a', '81e0e4c9e2f56716', '15ab3d9b3b4aa620', 'd1a57d93c940cdda', '22575c7e72324c30', '3e1717aff7917fdc', 'ae5ab6a60e1ab7a1', '8ba00e36506d98e3', '7e866a2e4d30dee9', 'ddbbe74893efaffe', '5093d51cb32961b5', '9031e8656bfd9860', '17e52586d0101584']; context = [[119, 173], [18, 67], [10, 59], [12, 80], [0, 44], [184, 262], [65, 116], [21, 76], [143, 199], [2, 67], [2, 47], [26, 83], [133, 214], [84, 143], [17, 77], [20, 99]]; loss = 0.011275 low_pass_filter = 0.300
+Epoch 0: | | 32529/? [6:08:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 32530; scene = ['4858c0eb2c9c73e8', '50c1c8e4a5170598', '05f52b6f26e7aefb', 'f4695ac3c07e3aa5', 'f514cc44985f9848', '8abb3d8e6fe866e6', 'fdeb9297f3b49dd6', '3c933103b2df6c49', '44cb3d9707a4f588', 'f23757c09a00e304', '338d644daae62eb4', '4da36973de5227de', '4359a06de608247b', '137580e9c0646c73', '9da1fa15af1eae3d', '5ae14b01a500682a']; context = [[27, 100], [39, 82], [71, 126], [27, 77], [32, 88], [47, 128], [31, 83], [27, 81], [44, 120], [76, 131], [67, 127], [22, 82], [8, 64], [5, 58], [38, 98], [128, 197]]; loss = 0.010148 low_pass_filter = 0.300
+Epoch 0: | | 32539/? [6:09:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 32540; scene = ['05545258ef753fc9', '42e996b4887ba52b', '503c1ba7fd62e506', '3a3e444a266111a8', '18f88993908bd910', '25f075f3ff1a965f', '5cd1f5bffe871272', '6c7342092714b3f3', 'fac2c72daf724143', 'd6b7a7a9b3091886', 'c99563873d943d5c', 'c390ed5cdfce1076', 'c363f4b694a2c012', 'f833af59fc33c0d1', 'e1a753667915e16a', 'f057b6113f2f4e6f']; context = [[5, 81], [1, 64], [65, 130], [23, 88], [37, 100], [0, 48], [5, 85], [52, 133], [32, 112], [165, 229], [33, 107], [0, 70], [34, 112], [15, 84], [25, 86], [0, 75]]; loss = 0.013893 low_pass_filter = 0.300
+Epoch 0: | | 32549/? [6:09:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 32550; scene = ['141748eda1cafd13', '217e2f486cac8813', 'd9a845032f5e1039', '4a08a57c55bc65fa', '277df596054b969a', '0b845dc703c23621', '232da3c3c432bcf5', 'edf8fdfe10fb893c', '34769f82ff4b286c', '2804817967c9ab8b', '1fba7a1a16edf7db', '4df2a98cf2678d8c', '04c4c5a25b4ccb21', '90686fbf5ca9bd0a', '77a0fdc6389de36b', '17d74baebc458fb9']; context = [[52, 114], [9, 73], [1, 61], [149, 196], [11, 54], [20, 62], [105, 160], [146, 216], [2, 53], [1, 47], [71, 139], [61, 137], [56, 101], [52, 98], [38, 85], [9, 80]]; loss = 0.009807 low_pass_filter = 0.300
+Epoch 0: | | 32559/? [6:09:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 32560; scene = ['a55a64e116b5619a', '34857ba0aee5fcc4', '57faf061b07006cf', '993d1f1c6062a6be', '37495922fd1df053', 'fe0eb7aed6e113b3', '05c144bb81c4f16f', '538edda415ed2de3', '20153915281668a9', '9b69f9f998575d69', '98f9e6a5b0475808', '362336fc9e531a0a', '891b961086b8c3c1', '4ad5cecab1988512', '6f8b6524e87dc23c', '370ed12221433e23']; context = [[52, 117], [128, 207], [153, 234], [45, 115], [49, 93], [2, 82], [33, 109], [24, 79], [140, 190], [179, 233], [199, 261], [16, 68], [20, 93], [87, 162], [73, 133], [13, 71]]; loss = 0.009950 low_pass_filter = 0.300
+Epoch 0: | | 32569/? [6:09:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 32570; scene = ['7dfe94c7f896530a', '676a62bb7947d66c', 'b88bb5a497a3359c', '62fe323977f07a05', '3b46f7051f8f7435', '5f97e7f0daeeacbf', '74aeb62f3246d73d', '7514f3b17589785b', '466a137cf7c24cee', '7fadd0714fcfd888', '58cadab07998fe5f', '305ee26dd52e6c47', '6b9e2b2554495537', 'd963397c195c1af9', '5b8976bf2748f77c', 'acb8c8353e37d640']; context = [[166, 213], [7, 88], [54, 120], [1, 82], [69, 135], [93, 163], [52, 113], [37, 98], [58, 123], [0, 42], [29, 104], [57, 106], [4, 70], [2, 68], [140, 200], [71, 141]]; loss = 0.011139 low_pass_filter = 0.300
+Epoch 0: | | 32579/? [6:09:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 32580; scene = ['97a2dba4959a326d', '15520790d9920886', 'ccc67dfe3f68e1dd', '8486311a5e35b0ea', 'ec349cabb9b47638', '6dfccb29bd9d71cd', '6f4fa444ace5838b', '8ad3c0bf78be1bca', '7ff117de16c1a86e', '77ac7aa4d5b94975', '16751b714cbe4b5b', '534a013a4b3faee2', 'c8b3f810b11d682c', '50c93bd960c75b92', '0b249791ba342e86', '3b0eac399dbfd16c']; context = [[157, 199], [99, 154], [15, 96], [152, 199], [48, 94], [42, 117], [32, 96], [21, 64], [18, 70], [2, 46], [210, 265], [106, 171], [100, 159], [75, 149], [6, 75], [17, 82]]; loss = 0.013392 low_pass_filter = 0.300
+Epoch 0: | | 32589/? [6:09:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 32590; scene = ['ff39f0e0372e39cd', '04323ad83985f199', '386e71f55a2947db', 'f4d25d72b22850ca', '1285e63f17102c06', 'd5f46a0f7d2bd110', '7f5201ae4a879550', 'bb2d9debacfd0afe', 'd0b05114696275a3', 'f760a303e59652b9', '152fdd4a1d573eac', '8d240b118357cf8f', 'f74d512df8806cc1', '83f57bcd5d9121f6', 'e579edd7cd33c20f', 'f6002d27b4940f4b']; context = [[67, 129], [4, 74], [21, 63], [68, 128], [13, 78], [48, 126], [72, 119], [1, 47], [6, 79], [30, 87], [38, 100], [6, 56], [30, 87], [11, 68], [1, 48], [19, 68]]; loss = 0.011468 low_pass_filter = 0.300
+Epoch 0: | | 32599/? [6:09:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 32600; scene = ['a00677410f377f66', '1446c12cceb0df17', '4e064993599076dd', 'be3a68742dbe1610', '0c5c3bb436ed7ea8', 'f7ddde2e3318692a', '0f8adc9b02ba1db0', '4ad230367de1d176', 'd3e425ca2b265160', '393170e2cba92637', '8e034787b1b72c40', 'd3f442922c9494cf', 'dd9483e04108ca18', 'ea91c58758e23491', 'c99cbe4d23718af3', '78fb7d0d8b14e585']; context = [[49, 113], [12, 56], [144, 192], [6, 68], [122, 194], [114, 160], [21, 87], [13, 68], [38, 100], [9, 88], [105, 147], [7, 88], [30, 78], [1, 72], [39, 98], [1, 67]]; loss = 0.009660 low_pass_filter = 0.300
+Epoch 0: | | 32609/? [6:09:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 32610; scene = ['edac89ad8a0c5857', '6b44fe081be25a0a', '057ea4c83ccbcfdc', 'c57ba40992ef16f1', 'acfb427d90168b64', '7a65f22e4d3f4d00', 'f73df719b44d8e8c', 'c2e94ef07b24c422', '7b13896bf3ec456f', '86beccaea6276618', '1c2d11af0b0eb5a7', 'a4f7106b183e3aa4', '160fb18fd9ea1ea9', 'af9fb59645cb5450', '0fbc7db19bff42d9', 'dda33970fa3ceac4']; context = [[27, 86], [16, 89], [49, 96], [83, 129], [0, 77], [5, 66], [50, 114], [22, 85], [188, 260], [62, 107], [194, 262], [2, 44], [3, 77], [171, 231], [17, 64], [174, 252]]; loss = 0.010311 low_pass_filter = 0.300
+Epoch 0: | | 32619/? [6:09:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 32620; scene = ['ad851e2af582ccc0', 'b6c9aa729ebc703e', '5deea71304d2b1be', '9d79273413b39047', '600d0b927ad2995b', 'bfc897cfc8733b10', 'c7f66b7e91a9e97e', 'ff013f8bcc9f80fa', '4e3ad7b697fa82ec', 'b398bc3316269700', 'dc3a54ede2d48c8b', '787007efbbe4d6a6', '550b183f0cd83a7a', '43d0e6dce7bb1e95', '49529740b79c463a', '24d756c820744e31']; context = [[12, 90], [0, 57], [99, 165], [27, 105], [170, 229], [37, 79], [35, 104], [0, 77], [24, 71], [28, 99], [161, 229], [77, 158], [6, 67], [8, 60], [26, 71], [73, 136]]; loss = 0.010121 low_pass_filter = 0.300
+Epoch 0: | | 32629/? [6:10:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.50, train/active_min_children_step=4.0train step 32630; scene = ['3f882fe126eb3f9f', 'cc867fd7d43a2b01', '384df0b400bfa2ba', '15770c4aa1e3c886', '7ee115fb205f848f', 'f6ad279359f6eb63', 'ac6a1e0b83cd7826', '2a73d7c5a8cf0fbc', '7371502a3bed5b0e', 'c650dda53967eb05', 'a580f9d21fe00fe3', '688a6b4560e6d685', '5dc01b6fd67b6f09', '4f31c3d2031ae29e', '79c4a5514b4df522', 'f1ef7c1adc5ec36d']; context = [[15, 93], [11, 79], [41, 86], [34, 106], [111, 179], [27, 77], [15, 75], [8, 63], [45, 95], [28, 88], [8, 87], [1, 68], [145, 215], [26, 88], [94, 148], [46, 105]]; loss = 0.009507 low_pass_filter = 0.300
+Epoch 0: | | 32639/? [6:10:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 32640; scene = ['e050c501434635a6', 'f8e7fb62ea38f3c4', 'f31f0b80f53b946c', 'e821c58064c7136d', 'a81a0c4349ad3507', '646d7fe490c813f9', '1fae8556460b26b1', '192e889ee8976b5a', 'e56c29e299bfe377', 'a6c86ebf4484a3ee', '2951495162c9b653', 'b434e53c4030e7f8', '190ac8a179da3ae4', 'ed2867040fbb2e30', 'b04757cf619d9817', '0452212f8a422ba3']; context = [[164, 212], [11, 68], [9, 88], [4, 49], [53, 103], [57, 115], [22, 79], [7, 54], [8, 54], [12, 60], [12, 72], [77, 154], [6, 70], [18, 67], [0, 42], [1, 56]]; loss = 0.009337 low_pass_filter = 0.300
+Epoch 0: | | 32649/? [6:10:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 32650; scene = ['c7325a8405a11e20', '75dde7780f57ce88', '520cd2608ff2d5a4', 'e9dbafff61308a9f', '19cc43821db31eff', 'cf4e473d785e36bb', 'c7b2164a0125ec43', '3cff75a214377cfb', '1c5ea1ec854c472f', 'e141faefbd36799a', 'd6a97f5d2988757e', 'f8b0f3569f34e541', '90f1b2ef803358d1', '55ae1e73f52a00a7', '91f022bdb0826031', '42b07aa8d3701d5c']; context = [[1, 75], [9, 51], [61, 115], [8, 82], [32, 89], [104, 164], [4, 76], [64, 128], [45, 108], [12, 59], [66, 112], [119, 193], [95, 149], [32, 99], [122, 194], [40, 100]]; loss = 0.010718 low_pass_filter = 0.300
+Epoch 0: | | 32659/? [6:10:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 32660; scene = ['10567c82a531e730', '403be198663b2b42', '286e4261f2d7a0f2', '10451da41760e4cd', 'df0c3a97c7905d54', '76715fe6f0e48a76', 'ba11fbcbcb19baa0', 'fe59d86ddd3acba2', 'c94d7945b47305a6', 'dc52eef1ceb52ed4', '829edc41b1f3753e', 'bcb1b35c603efea7', '93677620c60531d6', '3b7938eaf2733a31', '0cc6a78a866dbbe2', 'c5efe399fc5b5484']; context = [[162, 234], [2, 58], [7, 86], [13, 66], [26, 80], [24, 86], [20, 68], [10, 90], [15, 74], [103, 146], [51, 95], [12, 68], [1, 61], [22, 86], [6, 87], [54, 107]]; loss = 0.013431 low_pass_filter = 0.300
+Epoch 0: | | 32669/? [6:10:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 32670; scene = ['4b3e117d4f50b167', '4276394e8565d036', '72af17dcf2eba0cf', 'e197531346c5f079', '4b67e4f68e085f45', 'df4e1717577f82c1', '4ad8aa55f3b300e2', 'd0db77f773444638', 'a6ac9a6cc22cef98', '6b990b7b7e1842d9', 'a42751218de3c92c', '5aaf9100d34579e6', 'a9caf4fcb2bca405', 'bffbd3c67735eeef', '935a90bf15b8c7cd', '7125ae35464adb5a']; context = [[14, 72], [43, 112], [11, 77], [5, 68], [107, 183], [50, 107], [40, 83], [20, 78], [24, 69], [1, 44], [42, 98], [25, 71], [15, 87], [66, 109], [70, 151], [1, 64]]; loss = 0.008156 low_pass_filter = 0.300
+Epoch 0: | | 32679/? [6:10:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 32680; scene = ['cc1939ad78497c14', 'd78319cea2d2f267', 'de72e7430ace193f', 'b78bf8d0319fba08', '0dbe8d0d16ba2e5b', 'c2e24813705c3768', '132dea1279481222', '3df9d0d002a0a0c0', '5d1b54e167f45113', 'e99bc2b58b6f2ccd', 'e3934b50d763cc3e', '4dd1e7636b5fbf13', 'fbda7cc833f25a78', '6b1f86e9e65ba131', 'fb32c9eb51209279', 'ee7e466e2abafbd8']; context = [[6, 53], [0, 81], [43, 119], [36, 85], [23, 93], [21, 92], [6, 54], [98, 141], [30, 101], [13, 57], [9, 80], [36, 90], [40, 97], [12, 93], [36, 113], [3, 47]]; loss = 0.010239 low_pass_filter = 0.300
+Epoch 0: | | 32689/? [6:10:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 32690; scene = ['ae468714e3fa31b3', '7157599e110e23d1', '6d5b5729fd856041', '8c511adfe1edf981', '4c4fb804144e8cc0', 'f5a173954e586775', '1caeaf11a6686a6c', '0e41e1856a93f081', 'e407e438aa7e9206', 'a3623a3ebc370bbe', 'dac3810c49d3ab7b', '4646bbb28f1eae0e', '03ebe8f7060a0adb', 'ec4db803b81a0bdc', 'bf18f5ce237cd08c', '17eb179606c65453']; context = [[27, 102], [34, 87], [57, 115], [108, 180], [15, 76], [4, 85], [42, 97], [36, 105], [2, 50], [15, 77], [178, 225], [12, 60], [7, 54], [16, 73], [14, 74], [56, 116]]; loss = 0.010768 low_pass_filter = 0.300
+Epoch 0: | | 32699/? [6:10:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 32700; scene = ['a2439397e99e31d0', 'b33916336ec2906c', '78a40a9f15582918', 'f2e3320668b47961', '06917002d8f6373e', '4eb979a3e3fb879b', '2317fbb490ffe046', '2e887f0103cfe378', 'c54fe1ba08b7ab80', '43c4db038bb72004', '4c1dd38ae1e23da3', '55433af3386415b9', '46a475daa238ceaf', '8eeeb4da9f352048', '825f5fc21ea780cf', '3bf978b258b8305f']; context = [[2, 66], [3, 79], [3, 50], [16, 73], [94, 145], [0, 42], [1, 75], [13, 85], [0, 47], [28, 76], [7, 60], [28, 87], [133, 197], [75, 135], [71, 146], [169, 238]]; loss = 0.009751 low_pass_filter = 0.300
+Epoch 0: | | 32709/? [6:10:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 32710; scene = ['7644a78accc2cc6b', '85d0b74e494bb943', '540a01a5b334b143', 'a5d4bd8f3adfbce9', '57dad644a0b00bf9', '3899355b8688201d', '9bf807b8dde65f1f', '0d98f880b82f6094', '744107cf635331c2', 'af65d45e8c4ec7c9', '7a90bb3eba5b8c36', '5d1d241eff27b366', 'cc52a27f64bc5926', 'c38c9d83c7aa6296', '87cd1bb894c62dea', '296e446259ceaa84']; context = [[16, 68], [4, 61], [38, 113], [94, 137], [0, 48], [0, 42], [6, 60], [1, 47], [26, 90], [190, 259], [2, 60], [161, 229], [92, 156], [80, 128], [33, 86], [107, 173]]; loss = 0.009486 low_pass_filter = 0.300
+Epoch 0: | | 32719/? [6:11:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 32720; scene = ['4f4c4302c36cb755', 'f585524ad6786b54', 'd98e4f128e4fcce0', 'fee2852411318e54', '71911b4af12b9a16', '8722a564706e204b', 'e63caff82406317d', '305999e29713a998', '0fca31f2dbbd79b5', '08f55e581d3ff038', 'e60d3c2cbe8722dd', '4b641eaaec862d77', 'bb871f57112086a2', '03c56cb029f69054', 'b2db2e236e0708ee', '903cfae5f5b1a4c9']; context = [[135, 186], [32, 95], [173, 249], [5, 51], [9, 52], [72, 144], [7, 67], [26, 77], [2, 69], [156, 203], [7, 55], [11, 65], [49, 105], [6, 50], [30, 100], [12, 86]]; loss = 0.010928 low_pass_filter = 0.300
+Epoch 0: | | 32729/? [6:11:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 32730; scene = ['5841eb15726c674c', 'dbff8fae78b2b07f', '9dd0efd4b4626604', '20023bc0d2cd36fc', 'e7d38a7e5cb0a8c4', '66ab33a1b3e31e7c', '393f1427397745fc', '9c9e982632b63f97', '6259f31e093585f5', '618536ae5f39352b', 'ef32d6c5ae18f16e', '3a774fead9e1acce', '7280451b8d7c7f9e', 'a30f898a6e455745', '87b388b4e4a77b3d', 'da158c0720b75e35']; context = [[13, 72], [45, 116], [18, 88], [123, 172], [5, 72], [41, 114], [3, 70], [6, 69], [152, 204], [43, 87], [4, 54], [0, 60], [1, 60], [4, 59], [1, 76], [4, 77]]; loss = 0.010170 low_pass_filter = 0.300
+Epoch 0: | | 32739/? [6:11:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 32740; scene = ['35ed7f8bb069a870', 'cb03afd106320b00', '7493053829f8d51c', '1dc5af7d03596b0f', '00f08e59fbb6ec33', '1ab95b70ec904d06', '668afe07ab9d386f', '69f1ed79ce28a32a', 'cf161b905085aaea', '70a95e1aac4b5e9c', 'b84e70051e339fb2', '8272b2e649ed65a5', 'cd6aa564df030a20', '97053f57bce108bc', 'ed2988e72b69786f', 'c3699518391f8907']; context = [[2, 44], [1, 57], [179, 234], [0, 42], [53, 115], [96, 150], [42, 114], [1, 82], [2, 71], [15, 72], [14, 63], [8, 82], [1, 82], [0, 59], [0, 58], [9, 69]]; loss = 0.008233 low_pass_filter = 0.300
+Epoch 0: | | 32749/? [6:11:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 32750; scene = ['8aa531490595fc1b', '8c1ea3036d433d59', '1f1744b617eb9080', 'e1cdd73fcf663dff', 'b06d8179dc790851', 'c18059287117dc42', '30ad1d6e17b4922b', 'a2c3934b695a1514', '95944b694ab2fe24', '36752f8fe51ec622', 'afc8e955b8c9517a', 'ccfe340d043d8e01', 'a1d655a4e5b6c1dd', '6c57529d23472eaa', '083d8700afad2b76', 'b620104d7854f90c']; context = [[11, 85], [59, 138], [68, 142], [5, 56], [12, 91], [45, 115], [13, 85], [192, 271], [20, 84], [90, 149], [43, 113], [50, 120], [93, 154], [152, 222], [32, 113], [31, 94]]; loss = 0.010202 low_pass_filter = 0.300
+Epoch 0: | | 32759/? [6:11:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.70, train/active_min_children_step=4.0train step 32760; scene = ['3f138c82f489e8d6', 'c04b6ad2b52356b7', 'ec322c236e7a4492', '2dc825f560e48ede', '96cb00ed5d745db8', 'dfe008802b69008a', 'a7bc22395ad69b99', '5ae7974a40e54506', 'bf0f4614e32aa403', '3ffb94731fd84995', '9919a90cca908f5a', '979e6ee2c54274c8', '2fe6898d6b504488', 'efe68758a4f58ec2', 'e1a351b19b796c72', '98b704ffc9ad975b']; context = [[2, 72], [148, 195], [73, 124], [20, 95], [0, 78], [6, 52], [123, 167], [94, 145], [150, 226], [37, 116], [10, 79], [1, 79], [22, 102], [74, 140], [24, 100], [4, 68]]; loss = 0.012240 low_pass_filter = 0.300
+Epoch 0: | | 32769/? [6:11:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 32770; scene = ['707f00068b57f04c', '097c91b5e2ad9311', '28f98161e55562a1', '5073eb59ee636c69', 'b86f0cc451cd38e0', '305e37ea442951ab', '9fc50f65a5a998b4', '6841d6e7bb3e445e', 'fe07d4791305e06d', '11c1dce651050522', '2ce944c8f052910e', 'a886961a446251d8', '3209d1a9fe4edac3', '0e312299aada689c', '10c29deb681b55cf', '829dca1fdf41c748']; context = [[1, 58], [3, 68], [54, 119], [77, 151], [202, 251], [3, 47], [79, 147], [6, 51], [9, 90], [98, 169], [7, 53], [39, 108], [85, 141], [27, 103], [15, 78], [54, 100]]; loss = 0.011592 low_pass_filter = 0.300
+Epoch 0: | | 32779/? [6:11:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 32780; scene = ['f0b6b68c348bd47a', 'afde2186de3c048c', 'e1b796da6f1eab63', '8cdf6bd40877926d', '0be2ce14dcf9a284', 'd9c097582789f921', '56280b1626865ec4', '61f46a86002d1ead', '6af72be1c13d95b1', 'e583e0081a605269', 'd2b0b8d0e6d4c6c0', 'cf4862826e521d10', 'fb8cc6461d197be8', '2703827c9dd31ff2', '8c3a9655b7043b7a', '5db02c873a072b8e']; context = [[4, 53], [9, 53], [22, 78], [2, 73], [3, 52], [0, 43], [56, 107], [1, 55], [14, 80], [115, 185], [11, 61], [209, 255], [9, 56], [4, 51], [116, 189], [12, 68]]; loss = 0.011429 low_pass_filter = 0.300
+Epoch 0: | | 32789/? [6:11:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 32790; scene = ['780748d702c6c0b0', '571d919cdb03eb35', 'a5a2105d7102c23c', '2ef1fd060ed912cb', '4045169a7724a0b4', 'c2fd6e5ebbff57b3', 'cb007777cb7dff95', '9794641b7e015578', 'f3135a7492955a8a', '5041701491a4b930', 'ea5a39bd855fdd91', '604b0838aa3321c5', 'c1bcd66d5a2d51b6', 'f47abcad22b7b6c4', 'f8179df095e9575f', 'c34baa7a466d6f17']; context = [[41, 121], [36, 105], [31, 99], [9, 81], [17, 96], [23, 100], [13, 83], [104, 183], [76, 132], [39, 103], [95, 167], [77, 144], [117, 160], [31, 87], [67, 130], [72, 138]]; loss = 0.013095 low_pass_filter = 0.300
+Epoch 0: | | 32799/? [6:11:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 32800; scene = ['b7003ac834dc298b', 'a3867b242a8e5e8c', 'd34d184b1a47375e', 'b7f9c567a87b7c9f', 'b6dd69cee72df5a3', 'a8ae95c162e03289', '089cbe98ad3beddc', '4379921e6438fdac', 'd4c8ef2d288fd1bc', '44d3acc81bf24865', '655234c2b421904f', '76f53a277c8e50cf', '9e732b6f83edaa38', '79049d915465c4e2', 'ad37a470893adb0c', '8350ca162073edcd']; context = [[10, 61], [8, 57], [12, 73], [18, 60], [1, 57], [3, 72], [43, 110], [43, 121], [9, 56], [122, 192], [0, 70], [0, 64], [23, 75], [47, 109], [82, 152], [43, 116]]; loss = 0.011343 low_pass_filter = 0.300
+Epoch 0: | | 32809/? [6:12:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 32810; scene = ['5dcf8e4b8aa7016f', '051733e382609350', 'cd831a5973c3cae2', '1b449c2b2ba10206', '4fa8ea842dc6c780', '42014bc343bbe932', 'ec83684b0a0e9aff', '55c7da6a9e83d3a7', 'fe0e0778afc3f27b', '6fad7d90b7b6d111', '83192342586c4884', '4fa0b5f07c785cd6', '80c01f118ad95ec4', '303a4ea29cb63cbe', '1557cec46192303f', '3dfdc1b6c7b658e3']; context = [[15, 91], [2, 66], [28, 107], [112, 189], [38, 115], [92, 155], [1, 79], [53, 113], [45, 114], [22, 68], [119, 172], [66, 108], [7, 51], [51, 105], [51, 130], [39, 108]]; loss = 0.009701 low_pass_filter = 0.300
+Epoch 0: | | 32819/? [6:12:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 32820; scene = ['e41c6ed43457b590', 'ff022319df48586a', '5cad63fcd9593f65', 'f026933010d5a6d3', 'a90e228525bff876', '64e8e8cd6c4fbdf7', '64d8f501b693aedf', 'db54db35470e8134', '6a301b6d533065f0', 'b9347cd2020634b0', '2eee580c984b3466', 'e0fb27c2c232697e', 'e2af00d19440bf92', '99ce731cb66281b7', '55bf3c628550da29', '8e2f3bf63d24d3b3']; context = [[1, 75], [28, 100], [41, 91], [3, 82], [32, 92], [21, 82], [8, 77], [0, 81], [7, 61], [206, 273], [16, 60], [68, 128], [2, 54], [75, 140], [14, 62], [4, 58]]; loss = 0.009265 low_pass_filter = 0.300
+Epoch 0: | | 32829/? [6:12:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 32830; scene = ['8385d4ee358f824a', '981fe658a2fa6614', '0b15657aa4c4be4b', '64af4fa08b13c74a', 'd4c667d40e23cf54', '7a40a02de2f19d49', '9328af3177adc783', '0155a83d21660a97', '99d999ed61776749', '24f919db9f3b1445', '8f8d360604f220f7', '2edee3bc2b071498', 'c1fe773fdeb1a972', 'fc9f71327402e98d', '230ae34894c1c55e', 'cd60c1e602023a78']; context = [[9, 65], [92, 169], [39, 85], [21, 82], [1, 55], [49, 96], [41, 118], [8, 88], [3, 73], [37, 113], [62, 104], [14, 95], [15, 76], [2, 52], [13, 64], [188, 247]]; loss = 0.010280 low_pass_filter = 0.300
+Epoch 0: | | 32839/? [6:12:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 32840; scene = ['f36afd2815e5c749', 'f72e0d5e11df9fce', '5af7a31355cbd8fb', '5d217b6f2d5e1943', '69fa43535c0ce54b', 'b1054c0b1821e5bf', 'e06bf63d65b9cc29', '1f0cab6463145841', 'bfde7f58848d4403', '0eae94f75a1d9b6d', 'fba24b33eae5d387', 'c5c1f5de9f86f14b', '352d2bdc1900b5e0', 'c7ed76ffbf949aa7', 'ba3e38a071a523f0', '1dfec4dc823cab8a']; context = [[21, 100], [1, 48], [88, 131], [123, 178], [0, 54], [0, 43], [210, 276], [47, 93], [73, 117], [8, 57], [32, 74], [9, 77], [18, 86], [8, 87], [9, 77], [107, 166]]; loss = 0.010758 low_pass_filter = 0.300
+Epoch 0: | | 32849/? [6:12:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 32850; scene = ['5f649a9466de2d38', '75d267a743730550', '3090f6f78794c6d3', '83c978f31af82311', '1691d7d441029504', '8c077eb3056fe78d', '33d928665030754b', 'eea664df13fd8545', 'b430c13e0b88bf9d', 'ded3e3a186397ec9', '4ec06e61079982fd', '6fe4a15e43acab4f', '3e17127a859d16ce', '9d83921cecb13b6a', 'f7e02ac7b832d877', '85063672a6d59031']; context = [[36, 104], [83, 135], [2, 60], [1, 59], [32, 106], [12, 81], [4, 50], [0, 46], [1, 82], [18, 70], [173, 216], [39, 106], [8, 67], [18, 80], [34, 85], [0, 64]]; loss = 0.007915 low_pass_filter = 0.300
+Epoch 0: | | 32859/? [6:12:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 32860; scene = ['63636e57f2911e93', '801309986851fc16', 'eca88921ba674621', '4ec72717091e92c7', '8a09a434323bea46', '5e697d6da080d49f', '693f8fb61e4fb144', 'c7107168e5636017', 'e7bb87c1283a342a', '2f9d55eacd8587ac', '3ce2813613f42d3a', '0543639217e736f4', '06badc5e41c058a3', '06522455068beea6', '89aaed17be3e98f1', '05294273b71187d3']; context = [[17, 63], [81, 154], [2, 54], [124, 191], [55, 98], [38, 85], [0, 68], [0, 43], [181, 250], [41, 90], [4, 66], [11, 78], [5, 48], [16, 79], [2, 77], [19, 87]]; loss = 0.009369 low_pass_filter = 0.300
+Epoch 0: | | 32869/? [6:12:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 32870; scene = ['c40133dd82bfbd0c', 'a740e82dd72e351d', 'a611f23daa8ebe85', '5305f13cbd5351cf', '34ffc4903e3a1622', '970350268b239272', '51c99c6fd15b519a', '0583810be7bc8bf8', '5671cb0d00d9d6b7', 'e1da6e7e7a0178c4', '5f62d53739525eaf', '1f0daae20a46ff0c', '4e7da8637b6a526d', '88a0a05121f9f74c', 'f06de959b93a5534', 'd8ebdfe45b35a5aa']; context = [[78, 135], [61, 111], [28, 78], [65, 133], [6, 61], [16, 84], [103, 148], [64, 114], [22, 83], [146, 211], [3, 74], [11, 60], [10, 79], [70, 114], [21, 76], [12, 61]]; loss = 0.009982 low_pass_filter = 0.300
+Epoch 0: | | 32879/? [6:12:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 32880; scene = ['8da1bafec04ced57', 'd3be28b87efbb74a', 'dc82737a9ed81ffc', '39ba141a740bd82d', '2a157e573ea82340', '6266a30f21d42bc5', '5ab26790899c76d3', '87e321f35c84dbdc', '0ee1992781f90c07', '6947c411c6295d8e', '905b1855f110a802', '94c9aa266f266590', '73578fbad99d7332', 'c371d1ab17ce1fc6', 'fd89bf7100bbab61', '6b6f032d1c33702f']; context = [[91, 146], [43, 92], [0, 71], [37, 112], [27, 79], [47, 113], [137, 212], [0, 42], [17, 69], [109, 157], [50, 129], [1, 49], [3, 77], [13, 68], [32, 100], [80, 146]]; loss = 0.010096 low_pass_filter = 0.300
+Epoch 0: | | 32889/? [6:12:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 32890; scene = ['fd0a48b3f2045c87', 'fff4563a61662382', '58c3d4b20c0af4b0', '3c811ca3025087b3', 'ebedf7681c04968a', '06b98faeaee4b685', 'f1db4a83947cab7a', '0f7730277fc0ed26', '622415481d35387b', '3b26d9c5685e51bd', '7d8a6ad17acd0c91', 'eba16e2c6d32ed27', '5d4377c186d48768', 'd0a239ccef3fbe57', 'e4346a99bfe62ebe', '4a3564ac24e69988']; context = [[1, 68], [15, 71], [57, 131], [16, 92], [40, 117], [0, 51], [19, 61], [3, 48], [149, 196], [92, 137], [3, 69], [3, 55], [71, 129], [18, 87], [117, 197], [32, 77]]; loss = 0.011919 low_pass_filter = 0.300
+Epoch 0: | | 32899/? [6:13:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 32900; scene = ['4d6386d7cd6a39c9', '23d280e44989cfa9', '613b15bcf32abe86', 'a50ad9f471067a18', '41260f3b4a9ce069', 'f47bf9df4635b7bc', 'de1f491fe538c691', 'ea288350ae9b3e13', 'c60aebdf9fcd7c9f', '24a505e1ad056ff9', 'f49328cec36f3426', '3e46de65a38f9485', '2b2b8845427d1744', '6a6351dd709a7f23', '76bfadca2713b90b', 'b1f0ea674605ee53']; context = [[11, 88], [4, 53], [46, 108], [180, 249], [33, 80], [2, 47], [6, 70], [128, 181], [121, 184], [42, 92], [106, 170], [1, 43], [36, 101], [4, 83], [2, 50], [155, 229]]; loss = 0.014724 low_pass_filter = 0.300
+Epoch 0: | | 32909/? [6:13:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 32910; scene = ['4b868c1b9815ead6', '803cdca952362ddb', '5801bd8ed3baed75', '95c9d9e0f42b1a15', '9512235a3b0e6bc2', '2c8e2b99b8d5b036', 'dca0f0eacbccd9c8', 'e211852f55d383e8', 'f989c56011d46722', 'bc7cc2b25b604fce', 'bd8657935f536dd1', '36e81bf863b582ed', '6a98a5412a5aee02', '6bb1fe38f50ee2f6', 'a0ac7c5264d3d14a', 'e27944e20f739de1']; context = [[10, 63], [12, 55], [37, 115], [0, 44], [14, 82], [11, 80], [36, 83], [0, 44], [22, 76], [19, 70], [120, 163], [206, 248], [6, 55], [25, 76], [7, 51], [13, 58]]; loss = 0.011560 low_pass_filter = 0.300
+Epoch 0: | | 32919/? [6:13:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 32920; scene = ['d950e7899ea3c6b5', '9954d8448441bae6', 'f46cd6716555abab', 'f563ae2c67ee8192', '5b6461227829a452', 'aa6baa58fe0e6823', 'ab4998d89b2a8d5f', '297dc136d19e7ace', 'c736f11c968c7121', 'd5325aebc6be807e', '4dace0a9778018eb', '2809cd543b89ce6c', 'd9cdc72f6ece8b25', '5523e72be12eaf78', '808e9fd47a7c37ec', '1c19ae7ef94379fa']; context = [[2, 80], [27, 86], [101, 176], [163, 222], [0, 54], [145, 218], [131, 176], [28, 99], [4, 63], [107, 161], [3, 65], [3, 45], [71, 151], [2, 73], [8, 81], [32, 110]]; loss = 0.009390 low_pass_filter = 0.300
+Epoch 0: | | 32929/? [6:13:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 32930; scene = ['47d487dd8c7493e5', 'e16cfc9b845df01b', '393714010f3e21af', 'd0d9fa24cdd6e339', '10e80029aa50a7d4', 'a5ed0b69036ccc36', 'db33ed3403832c40', '484638f70ece08e2', '7d5781ae96274031', '636e74a5524c4a37', '34e946a3977d4878', 'ba3501161e1716e3', '0b7e9b9b24181599', 'f9a2c0ffaf95d2c3', '0083e7de502c19b2', '6dd581f9955f6f4a']; context = [[67, 149], [0, 45], [0, 73], [4, 67], [159, 219], [63, 117], [5, 69], [68, 149], [22, 84], [30, 103], [106, 165], [81, 137], [3, 48], [23, 80], [6, 76], [64, 132]]; loss = 0.010738 low_pass_filter = 0.300
+Epoch 0: | | 32939/? [6:13:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 32940; scene = ['03903125b687bad8', '88915870f178a401', '28db6971cb1ecad3', '0ddbb5e6ad59fbfa', '5af2dcd29b5b6469', '61ba4c881a657b7b', 'b2c06d1131819db1', '0af99321930a55b5', '43c9e3ccd9828f38', '170ed6a0a15ee097', '412d0963f65c77ea', '65dd2cb793b8bd9b', '08c8768fb707981e', 'cdf7ab179d4bb5fe', 'cce8d4029c89f537', 'd8fb0ecea04b7905']; context = [[28, 77], [0, 58], [0, 44], [60, 116], [28, 110], [37, 83], [120, 169], [140, 204], [181, 237], [0, 60], [99, 151], [2, 48], [30, 111], [22, 67], [91, 146], [214, 269]]; loss = 0.010546 low_pass_filter = 0.300
+Epoch 0: | | 32949/? [6:13:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 32950; scene = ['0b8f65a906a21f2e', 'd6ad59a4aea1073f', '87ed4d913ee78838', '44a8b25d903ee083', 'd7acce6135c009a5', 'c9f359b574b6cc32', '60cf9a07256f14c5', '93b28f9bf1b48d57', '58886bd2cd8929cb', '8d01c6a9705d107c', '6fbfdd663d971a92', '6c2c177b4e2679b8', '8bfd99f51b97d29f', '8e119759545eb126', '1f0308acd5b5aed7', '35b4f262621408f8']; context = [[53, 115], [3, 68], [6, 74], [10, 71], [4, 81], [1, 72], [19, 90], [0, 43], [32, 83], [152, 214], [2, 66], [69, 111], [10, 63], [3, 76], [19, 78], [79, 142]]; loss = 0.008922 low_pass_filter = 0.300
+Epoch 0: | | 32959/? [6:13:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 32960; scene = ['cc64908cbb514ebd', 'd1b9a1b70474466f', '51d0544fae56e467', '8c67d77a1f9a6b14', '7039734be2f00317', '2e770da39beca629', '1d81f59588ab98f5', '5f0a8cfefdaaedcc', '1374f1c247f796e1', 'ede431bc93326650', 'cbb133671b625ca2', 'b6c4901a41fed652', '4d850750a62bd77d', 'dd5bde1ccda76492', '224c90a016589fec', '4d65c764fda63e65']; context = [[59, 114], [8, 66], [99, 157], [12, 93], [47, 96], [24, 90], [35, 110], [128, 183], [115, 182], [11, 69], [112, 170], [1, 45], [195, 246], [59, 130], [112, 161], [7, 60]]; loss = 0.010469 low_pass_filter = 0.300
+Epoch 0: | | 32969/? [6:13:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.70, train/active_min_children_step=4.0train step 32970; scene = ['d6045d186161558e', '68d8c862333a1684', '308ec88c1ad9b768', 'a367a7587df5e00c', '94c654bd3e031bcb', '2946d1671bef8129', '23174a6cd65a0731', 'f5bc5f1993328821', 'ba66ab644596fa12', '3646da58ac845d22', 'dc94561089b65d67', 'b5869252c17178fb', '89f336072aeb05fb', '7ce47dba9754305f', '88e0dec195946b92', '8c2d32d94894ee2a']; context = [[95, 170], [28, 92], [57, 116], [152, 210], [27, 75], [17, 73], [153, 215], [21, 97], [0, 44], [54, 98], [13, 71], [4, 68], [2, 80], [64, 121], [0, 46], [7, 59]]; loss = 0.009872 low_pass_filter = 0.300
+Epoch 0: | | 32979/? [6:13:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=29.00, train/active_min_children_step=4.0train step 32980; scene = ['483a3398bde8d8ff', 'd0d3c21067ff0163', '92e2c39c1b535214', 'c8e877a21e8c48bf', '3bd8b6fc41cb1a82', '42928282597bbae6', '6ab4f1994ae94609', '78571463ec1147d0', '2341163e34fee01b', 'a8d73f79bd0991a2', '812f66c0ca94fcc9', '5df639b6091c31e1', 'e7da078102ea216c', 'ec54d60519d51799', '66c7951015f7b269', '5757c3fde1248166']; context = [[12, 77], [0, 50], [109, 156], [11, 53], [67, 112], [25, 94], [1, 70], [31, 100], [0, 43], [4, 47], [44, 86], [3, 64], [26, 90], [10, 56], [13, 86], [0, 46]]; loss = 0.008147 low_pass_filter = 0.300
+Epoch 0: | | 32989/? [6:14:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 32990; scene = ['319cad73a1293d84', '70101ae04137d94a', 'f200f6fc0ef2ac93', '53e1a1169d514c24', '5304efa4c14d028e', 'd024eef2f34c2301', 'cd42030d0cab71f6', '4d9768fad6824196', 'e26d90451be5dc01', '35cd6603f140d612', '4ea7a2331c46c572', 'b39fb5a378831f09', 'ed9856a72ec8a92f', '8539028ddcf147af', '7036714988a42b40', 'b3565cc29d609e00']; context = [[52, 115], [88, 131], [34, 76], [0, 71], [72, 134], [2, 70], [2, 45], [3, 84], [114, 161], [40, 88], [127, 184], [30, 77], [41, 116], [135, 195], [38, 106], [69, 123]]; loss = 0.009627 low_pass_filter = 0.300
+Epoch 0: | | 32999/? [6:14:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 33000; scene = ['ec55c7f51303baf0', '99d38c0d2241de7f', '20efdeed1a62f8b3', '28b82c62d9737dd8', '55b8fab785f6457f', 'a36f7e2666008f93', '1f12fce2207c3a3c', '34077dc592aea374', 'c081fa859752b467', 'ce7cf400d52e3e52', '550e6ec6a829365d', '8fd200c66376fca6', 'a48dae8d129055b8', '8c600fb7756ce6a6', '9dce90a230b534b1', 'bdf81e6b52b3774e']; context = [[156, 213], [2, 55], [14, 69], [5, 52], [20, 81], [8, 54], [15, 84], [67, 126], [18, 81], [1, 45], [5, 50], [20, 87], [27, 102], [5, 66], [50, 132], [1, 63]]; loss = 0.011624 low_pass_filter = 0.300
+Epoch 0: | | 33000/? [6:14:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0validation step 33000; scene = ['2d3e1349898addb6']; context = [[23, 92]]
+Epoch 0: | | 33009/? [6:14:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 33010; scene = ['f22a9901c2044606', '5d4999bc3890166e', '71cee2cdf48a89d7', 'fb5f51d8b4188c7a', '7297c259c805075a', 'cf93d34812c5075f', 'b2a5bee383cc062d', '405e320c34ff7f81', 'e9b590c6993bcf66', '24b36b96c868b758', 'aa49c506f067e54d', 'a0e4826e71332c71', '58658f7de57fcdf8', '93739f7c17797663', 'ded696beba889e75', '2580a57635d98a36']; context = [[6, 52], [0, 42], [0, 63], [134, 183], [0, 43], [2, 59], [5, 60], [98, 140], [4, 66], [37, 96], [25, 92], [38, 101], [82, 132], [0, 63], [64, 116], [33, 85]]; loss = 0.009230 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 33019/? [6:14:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 33020; scene = ['10e3f0351bfe9b3f', '7950819803c38007', '4268e3a564bff6be', '526648b6db73136f', 'dc147135ffd7390d', '7d7f87066fdddc0d', 'a8342b6ce7bf9fdf', 'fff64f42340c9f92', '700c498d0c459879', 'f1497a3ea4785083', '012f1ee280aa6e08', '481a5415dc213548', 'f646cb850ed823d0', 'a564a6846e90f759', 'b06d31ad3cf3c91f', '9c507b0e969d8f40']; context = [[136, 188], [43, 115], [89, 133], [36, 80], [8, 57], [11, 53], [21, 65], [169, 215], [36, 78], [116, 196], [51, 103], [8, 63], [7, 63], [5, 84], [6, 80], [169, 214]]; loss = 0.009953 low_pass_filter = 0.300
+Epoch 0: | | 33029/? [6:14:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 33030; scene = ['ee9c7c9d5fe157e4', '8d7c8c24c08671f1', '222e3381bee08290', '57afdd7758af79ea', 'ada24df9ce7b6620', '7a4b181114aa411a', 'e6735fa225dd5b00', '497d6e411fb83a99', '44d3e939898e467e', '60f8f090db3aed08', 'd382fd7776f9ec33', '93f64e2b3f286f45', 'c19be054a8a456f5', '91effcea642ad897', 'c544ed479973807f', '55ef7e7acbe84587']; context = [[8, 79], [28, 90], [14, 86], [7, 66], [2, 83], [122, 183], [1, 70], [133, 215], [79, 124], [18, 61], [31, 85], [12, 59], [23, 66], [3, 52], [26, 80], [30, 89]]; loss = 0.011885 low_pass_filter = 0.300
+Epoch 0: | | 33039/? [6:14:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 33040; scene = ['c1785398ae044ecc', '48dd32a0f4a2367b', '010fb4b5e0e37c71', 'fe3e8063136b92e1', '3301c6c4f8324fb7', '92a43963f8d1dc2a', '0a053a2d034f4305', '890e507d5a12b8a8', 'd90f68bab916e8a0', 'db9a067011e8c6a8', '583dfb028aad48a2', '37270249573b5fef', '4baf148b0e465154', '79eaf9a487c5de91', '39ce17d592aa08ff', '8293c91c983ffd04']; context = [[9, 81], [32, 79], [26, 77], [101, 152], [20, 92], [97, 147], [1, 50], [4, 79], [24, 76], [20, 65], [8, 69], [5, 63], [28, 70], [173, 218], [16, 74], [205, 251]]; loss = 0.009111 low_pass_filter = 0.300
+Epoch 0: | | 33049/? [6:14:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 33050; scene = ['337dc31602bf2187', '2c4748f991f7d71b', '6555e9ac69dc14bf', 'a91d501f33a28dc7', '87732cfa339b6202', '2cca4a4cbf45c0d0', 'a832bedba626085d', '92c89cf29ee6c8b8', '84c73e4976f859ef', 'c3919bfa4fe57c63', '137af3bde9d9b5f7', '2e9403daa9e6a49f', 'd802e660adcae582', '5312ab668858f2ab', '9c6dbb44ea9811f4', 'a598bd417ed1330f']; context = [[5, 72], [4, 49], [0, 42], [32, 77], [0, 66], [26, 84], [66, 135], [56, 131], [34, 93], [67, 149], [3, 77], [56, 125], [25, 99], [155, 197], [60, 119], [21, 89]]; loss = 0.010439 low_pass_filter = 0.300
+Epoch 0: | | 33059/? [6:14:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 33060; scene = ['6e34b09401a80bf5', '400775a9888882c9', '89865fbae2d079ef', 'ea9b827d14fea943', '18b21a1183738b21', 'bab59381c6649e73', '7c47ccd4d1a46ddb', 'b551de9f9957b4a1', 'ce1f0239d2998405', '0502fde8917abbf5', '852d166ff2c05a58', '221324859434bdb2', '4608a8fc994d7bdc', '66152520d52aae96', 'f44601f68f76436f', '2dac470361510c78']; context = [[5, 60], [105, 177], [2, 49], [15, 80], [36, 89], [2, 58], [50, 99], [1, 44], [2, 63], [51, 105], [4, 84], [26, 103], [5, 67], [3, 68], [24, 84], [16, 69]]; loss = 0.010234 low_pass_filter = 0.300
+Epoch 0: | | 33069/? [6:15:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 33070; scene = ['adb94948ee8f7112', '49cdc18c361f49a5', '17d10f12b9a17023', '738f847dac8b608e', 'c680b8bae58d6dca', 'ff386ee63e9a5979', 'ce7ced20aa22c2fd', 'd28eddd645b84866', '52b5cc4edac20b1d', '4416aca1509427f1', '1fc20dbf49022bb0', '35f616539109376c', 'c61bdd4a1ef94c75', 'd573d6a8e9eb3c07', '4f3b2263d2a7347a', 'c7a16ca73b5d1a45']; context = [[24, 81], [29, 81], [0, 45], [10, 79], [20, 93], [9, 89], [53, 133], [58, 113], [19, 64], [3, 58], [182, 245], [7, 66], [18, 64], [12, 70], [20, 91], [38, 98]]; loss = 0.011573 low_pass_filter = 0.300
+Epoch 0: | | 33079/? [6:15:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33080; scene = ['c1695cd6c0995eda', '556394920765324b', '81ad54d5ffb317b8', '785aae46f263749c', 'd9fe6652451a430b', 'f255cb2332e122e3', '1385c61c89fb3dc8', '18b42abc37807ecd', 'c5e52d22a51681f0', 'd756f9034c513c4e', 'd4f76d17144952a6', '6a78d996225de1c3', 'bb27dd7eebf259b0', 'fa8b1c66012605dd', '876bb6275720b3bd', '86af68437f53828c']; context = [[15, 58], [40, 102], [15, 85], [3, 52], [45, 98], [19, 75], [56, 102], [109, 166], [70, 120], [15, 67], [175, 229], [34, 107], [13, 69], [7, 70], [89, 141], [8, 80]]; loss = 0.011139 low_pass_filter = 0.300
+Epoch 0: | | 33089/? [6:15:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 33090; scene = ['31922770533c1af8', '315fee37794761c2', 'c5e288f3b5dba40f', 'd934b35f87276390', 'ea83dfd340855fc5', 'b9b83ef31222c2ee', '09f447a82910d9e2', '51504900fa03f469', '0f4bb16169333817', 'eb3d4493eabc70ac', 'f4f078781be5bf1c', '17d579cd9c3c11c6', '58e75e2b5b11725e', '8230269d5694b850', '46bd6ac81c2ca6bf', '712d4fab4627a65a']; context = [[1, 83], [12, 75], [1, 52], [95, 159], [29, 91], [17, 81], [112, 181], [27, 82], [7, 85], [19, 91], [166, 221], [29, 107], [158, 209], [20, 87], [7, 59], [11, 61]]; loss = 0.011888 low_pass_filter = 0.300
+Epoch 0: | | 33099/? [6:15:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 33100; scene = ['b596171ab2e9e3c4', 'a353c5323b7e0cb6', '1b557a9eebbab147', 'e271ef9f54cdbdef', '8e583ba05f91d104', 'b12fb462071f1eec', 'e5a7abc8fcb39e95', 'f9611b5d473cc69b', 'e67a6379398c3e3d', 'a5b5597f4927d94a', '3b807d242f762c84', '4bbe383499f58733', 'a73f18310fca46ee', '1c309c469ae5fdd4', '0c2de6c5be346d3a', '1218972a2e7215e3']; context = [[15, 70], [18, 82], [63, 139], [13, 64], [61, 125], [1, 66], [10, 72], [84, 140], [11, 85], [51, 125], [32, 96], [0, 52], [19, 89], [55, 119], [9, 81], [9, 70]]; loss = 0.009238 low_pass_filter = 0.300
+Epoch 0: | | 33109/? [6:15:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 33110; scene = ['29d4c936815664ab', '2df2d7c7a4f05e97', 'e70cd0d4dee51c54', '5b97a19bc0a90bae', 'c07ea4ff919e5f92', '06f0d295c0618b29', '61715ff54ffcaa5c', 'ef9c173e09936e3a', '60c2c6de25a0ed1a', 'fffeb0ca5d44676f', '76d9531e2f92d2ba', 'e879de97f064bfb8', '3c7f24cf584b48a7', '4d023ef833623c01', '0e2e11032cffb1c0', 'fdb6fe07b7177854']; context = [[9, 64], [7, 71], [32, 81], [15, 66], [57, 104], [62, 128], [17, 60], [49, 117], [5, 56], [58, 120], [45, 103], [6, 63], [12, 88], [1, 64], [2, 69], [107, 167]]; loss = 0.011215 low_pass_filter = 0.300
+Epoch 0: | | 33119/? [6:15:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 33120; scene = ['fa3459aae14f9fbe', '6306786de63f1537', '7df9941d67654aac', 'cf44c57a316bb7df', '82d3d6fc3f681f9d', '4c212add50c782fc', 'dd8f6e06483856c5', 'b509b83544d44451', '3fba1e83df500eed', '818fb2e314a810cb', '11c1dce651050522', 'bf5dbe3031dbd6ff', 'c349ef13e27da92a', '10c29deb681b55cf', '798554da3b801bfd', '3209d1a9fe4edac3']; context = [[32, 74], [10, 65], [103, 162], [64, 115], [32, 87], [139, 203], [23, 83], [65, 133], [56, 127], [70, 138], [11, 55], [44, 96], [6, 74], [8, 52], [4, 86], [17, 65]]; loss = 0.010059 low_pass_filter = 0.300
+Epoch 0: | | 33129/? [6:15:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 33130; scene = ['1561723b1e3dee87', '3212cf76d090e171', '19895717cfca3666', 'dc10d847a9adeba0', '53d79d4fc887bac7', '54398822fd66f7a9', '8cd8a1cf43faae37', '84778d0188fd2df7', 'bc346df013561de4', '53f305d17c2410a8', 'fa7e7926abc78907', '4e90b5a00ca1a323', 'a0bb40d77cf75dfd', 'a530f041f0c9a958', '2c305d098029d4c6', 'cb656e90448e660e']; context = [[11, 58], [11, 88], [16, 96], [1, 50], [1, 51], [13, 90], [50, 110], [18, 62], [18, 85], [25, 77], [139, 183], [122, 165], [29, 95], [105, 158], [14, 58], [0, 56]]; loss = 0.009079 low_pass_filter = 0.300
+Epoch 0: | | 33139/? [6:15:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 33140; scene = ['5859921034bf353a', '83559529fc525a03', '066f2d93ea35667e', '0c178168a07f84a9', '9890a01b883b8cbe', '4aad3411661af5ec', '0d394b2145abc806', '0d7af179ef2e18a5', '9466d3e7e9958ac5', '838d610035a86531', '932715a7bffbf16b', '099ebecf954ec2ac', 'b5b59e94bd3efd58', 'ca7a3c1692a695f4', '308c2adb6029e878', 'fb1f8c90a89e8d43']; context = [[28, 89], [59, 108], [90, 133], [115, 159], [62, 136], [57, 137], [204, 258], [1, 68], [0, 67], [38, 80], [2, 46], [1, 46], [14, 81], [5, 63], [15, 71], [51, 95]]; loss = 0.011140 low_pass_filter = 0.300
+Epoch 0: | | 33149/? [6:15:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 33150; scene = ['14b48961c5e1364c', 'ef6f624489fffa84', '42cb479c5aabba98', 'eea9a40d34d9e8f3', '1fe3e0dfb0bebffe', 'd1300efa0f9232ac', 'f6a68923ac68bc4a', '249ee6d00a7493be', '27cccdcbcc2a484e', '583428a8466e2418', 'b29d9ccc5a360755', '57fc42ea40ac2adb', '3854ae7e48f9f528', '813a6c5e1123e81b', 'f033b85ca30d272d', '07d1e657a9632324']; context = [[39, 92], [0, 57], [0, 42], [4, 62], [8, 61], [23, 71], [11, 85], [2, 59], [1, 69], [1, 77], [168, 210], [37, 105], [23, 70], [23, 91], [22, 68], [50, 111]]; loss = 0.012683 low_pass_filter = 0.300
+Epoch 0: | | 33159/? [6:16:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 33160; scene = ['3dfc8ac22bab5f07', '5eea935c8a218780', 'fa5834342a26f1a7', '7c7b689f1c4463f4', 'd782aeed17560ed2', 'c15bde67c4d28f80', 'f9a7be1e0104decf', '6f6798d8975dd372', '7f437dc9fea6612d', '84b82a9506bd8483', 'c98a8f34da829645', 'd12d90e1193e38b7', '8cc30a7da032758b', '8985363b7d718a34', 'e33f75937740f4bd', 'c86dbf4a14acee88']; context = [[16, 69], [23, 99], [19, 61], [26, 81], [24, 100], [4, 85], [77, 127], [143, 193], [68, 145], [12, 66], [0, 50], [0, 53], [24, 68], [69, 134], [0, 45], [17, 91]]; loss = 0.009890 low_pass_filter = 0.300
+Epoch 0: | | 33169/? [6:16:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 33170; scene = ['c8d798b5fddf3e82', '5f4855dff1edd516', '701d3ad6c3a3857d', 'c097909e36b59ebe', 'b3c8aa705110b627', '832dbfcfd876215a', 'bb83dfc9326dcece', '3d5757e1469432d0', '6368bc9ee243f179', 'fef9d317e71c3122', 'ab01d8b7ffcd74aa', '5dc77f428548ef6c', 'e701cbe6c42dc34f', '42e4f2d3c3e0772f', '352b202e22235f10', 'd61b2ffb090ab82e']; context = [[89, 168], [3, 78], [39, 121], [8, 77], [13, 76], [23, 68], [132, 196], [77, 157], [170, 214], [84, 138], [3, 80], [12, 61], [4, 65], [148, 202], [1, 46], [77, 123]]; loss = 0.009739 low_pass_filter = 0.300
+Epoch 0: | | 33179/? [6:16:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 33180; scene = ['4afa2fa17e08133a', '43ee1db1e7636662', '554c4773a1d8fa76', '10e801244cd4bcb0', 'e2009c92c7495572', 'ede896927ea91dd6', 'fd6e7e0b1e8f2217', '2434d67e7dedfcb4', '489e61a289f59044', 'a4f8febd2dd51706', 'ca8008cecc227f79', '180480cb22ef0725', '6255ad81d69d712a', '610ec8daa2775e45', 'b5dd6c0b8984c3e1', '072888bb251387c5']; context = [[59, 105], [2, 64], [16, 60], [96, 160], [15, 57], [90, 138], [13, 75], [0, 67], [30, 81], [6, 67], [8, 62], [164, 229], [89, 156], [24, 78], [124, 167], [126, 171]]; loss = 0.009392 low_pass_filter = 0.300
+Epoch 0: | | 33189/? [6:16:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 33190; scene = ['d994b54d0c38f6a5', 'e46908b32babe163', 'c995ce06eef54732', 'd1e1437df8235681', 'b0b66c594bd1ae75', '79b6c278ef761637', 'b737264f3104f28a', 'a3302f8344181353', '2fd9f35c8ac11f0e', 'e423eafb08231cab', '81bb3be1a42ecfac', 'eadfbdb527ea40d6', 'beb77dca75f90444', '105d995e386ac845', '71b229baad9f977b', 'bd61e26c12a344ed']; context = [[8, 80], [7, 50], [3, 76], [20, 82], [77, 124], [0, 53], [30, 84], [14, 85], [127, 199], [0, 66], [36, 112], [2, 73], [2, 75], [5, 73], [151, 204], [108, 160]]; loss = 0.010785 low_pass_filter = 0.300
+Epoch 0: | | 33199/? [6:16:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 33200; scene = ['106fe8209a72148a', '89c3dc5c2b6ca1ab', 'ede486da04ebdc56', 'd1c3b86e61e4b745', 'b7264c9330e22b41', '15592e57716c6463', '1b0e42c4f8fbb88d', '0a91ba693acb65d5', '43f2fea0a0027461', 'a40c454857fdf94c', '57cb1fd49a354fba', '039a82846f63ce27', 'c74c318cbdc27580', '4b7634eee1c5582f', '921a2747f28f1aee', 'fbeb7fe99c10b717']; context = [[128, 196], [38, 86], [88, 170], [4, 56], [7, 59], [1, 47], [0, 69], [52, 117], [71, 132], [5, 84], [141, 207], [2, 59], [33, 75], [30, 92], [2, 65], [12, 92]]; loss = 0.011441 low_pass_filter = 0.300
+Epoch 0: | | 33209/? [6:16:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 33210; scene = ['31c9c7c73f642cf7', '598eb9b46185951c', 'de01308c20eca844', '726f0a3790509b48', 'a34da6e33030e973', '95e0a2399dbc6008', 'f8facf25ebe91f37', '81f004ba91540bed', 'f1242539d1b2a86a', '50ed74eb3943626e', 'f19b7c0f5aa40c31', 'c64ea38f6d3f6b4c', 'ad087a4072f37a50', '1090723b42878041', '53c8ed7e5b5a87b1', 'ee23a3b386446cf6']; context = [[27, 70], [120, 170], [3, 47], [2, 61], [6, 78], [37, 92], [1, 68], [50, 106], [132, 211], [13, 94], [90, 158], [132, 179], [28, 100], [83, 164], [7, 49], [23, 78]]; loss = 0.009057 low_pass_filter = 0.300
+Epoch 0: | | 33219/? [6:16:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 33220; scene = ['15cf3ed7934403d8', '220fa19b554d31e9', 'f556938f650246ca', 'acb8c8353e37d640', 'f0ce42e2f9ea8b48', '3d534c7237d85ccb', 'e6b924c8cd87a7b7', '5fae9c21ebf04523', 'b751e63c5d0ceafb', '975e659085713da1', 'db33b984875ef4d5', '390e456b32e3b7ac', '6c57545257660e6c', 'a1a1232aaf87f494', '71712c08e8ef2a32', '3b3cf18766226dba']; context = [[30, 102], [7, 60], [5, 66], [98, 159], [165, 218], [2, 48], [193, 244], [108, 152], [14, 91], [200, 273], [6, 68], [61, 125], [37, 86], [14, 66], [28, 97], [61, 128]]; loss = 0.012744 low_pass_filter = 0.300
+Epoch 0: | | 33229/? [6:16:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 33230; scene = ['ffda743d376dcde8', 'd81116dc8c96547e', 'c81095ff7cc7034b', 'bf0755be50798d45', '882fdfbe720a3236', 'b45e47d231088428', 'f24b2611ba45a2cf', '9ca80f3ebf759df0', 'b74cd30ef141705d', '8b5d909f93396c54', '380b00a7e0b645f4', '79f5d30c0e4b82d7', 'ce863ce4387b0577', '40df008be4ea5d13', '51a5d8199233c6a5', 'e1cc396ac3f1d23c']; context = [[2, 83], [2, 66], [26, 75], [16, 89], [95, 144], [24, 94], [92, 163], [6, 64], [15, 66], [4, 70], [8, 87], [133, 183], [95, 155], [32, 108], [212, 271], [93, 154]]; loss = 0.013622 low_pass_filter = 0.300
+Epoch 0: | | 33239/? [6:16:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 33240; scene = ['f3ade6c63bc7d4ae', 'bfecf32dfd0f8b4d', '346c571507de5452', '82065e7ce51acd3a', 'a17ad78f3de1747f', '261bdda76d7124cf', '360522a132341bfc', 'ba681e5557b24568', '9d5d32f2e63f94a6', '4b57460bfcb3622c', '07b91d8606616953', '083f6e232345ba29', '6e65795a976312b7', 'db94d811017ceff9', 'e160faecc21bd431', 'e2f8593ab819939c']; context = [[62, 106], [42, 85], [31, 80], [39, 88], [6, 53], [8, 74], [34, 114], [2, 46], [1, 72], [68, 125], [7, 53], [77, 136], [81, 124], [82, 126], [77, 143], [12, 67]]; loss = 0.007634 low_pass_filter = 0.300
+Epoch 0: | | 33249/? [6:17:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 33250; scene = ['3608f1d16a591c54', '3ceafda325ca5d89', 'e0eec6e1d1b30f19', 'a8b78c0dcd5a10dd', '5c0035d7237bf784', '1dae541a36d32e0c', 'b514b294a14bbd20', 'cb8d6f52af9edd41', '9eb21917c21c3605', 'b580a3428b44251a', '17544f453322cca9', '41104f5f61ead9c8', '2a9c1ad6089a1550', '16554229918ea920', 'e2ab13f94d6c8599', '1be98df85c7a1b55']; context = [[147, 202], [63, 117], [66, 126], [2, 45], [47, 123], [19, 86], [17, 79], [16, 89], [39, 105], [112, 176], [0, 48], [16, 73], [12, 94], [17, 86], [0, 45], [19, 75]]; loss = 0.015890 low_pass_filter = 0.300
+Epoch 0: | | 33259/? [6:17:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 33260; scene = ['0524b5ded4a3f9cf', 'feff41b52966068d', 'b781a1d4be7e0dd9', 'c81663c0b5144377', '060f48781c23dbc9', '328a73288962076d', '09f7865faf90c7b7', 'd33060884405fb51', '2bfcaee1e8879c93', '89ffddd7e0050957', '89b7ac85c1dd1efd', '9e40d72fc377071e', '5b9f289a8e65563f', 'ecb259c1db50ec9b', '0eb418885d5c704f', '202890a812df9e8f']; context = [[23, 99], [49, 104], [16, 86], [36, 102], [75, 148], [51, 126], [42, 86], [46, 108], [116, 161], [55, 137], [10, 71], [9, 61], [12, 91], [122, 173], [71, 146], [7, 88]]; loss = 0.009486 low_pass_filter = 0.300
+Epoch 0: | | 33269/? [6:17:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33270; scene = ['dd4843164414a098', '620c929fd4a8bd4e', 'ab3129359d7c89ef', '4c132551c14e0029', '8ba8dc3c494ca369', '0df5a048d09e63f3', 'dfec9688b2ba99ea', 'd9e16fde003687b8', '4db07c5caae67701', '5e62a890cb5a023a', '84ca721f253dde85', 'a829ffde6c53aa8c', 'a05f322adda6b100', '7cfb911c40da361b', '333d47c166aad666', 'f497c3291a3d7a10']; context = [[46, 121], [62, 104], [188, 268], [48, 118], [4, 77], [35, 90], [1, 76], [52, 112], [187, 267], [195, 259], [222, 272], [0, 52], [0, 45], [8, 77], [5, 48], [60, 120]]; loss = 0.015052 low_pass_filter = 0.300
+Epoch 0: | | 33279/? [6:17:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 33280; scene = ['f92dfbf60b7b8922', 'abeb0ad95aa6fe95', '89328b746d91784c', '03eebf1cb2ee9d03', '6a632c67221be79b', 'bbaa8e8136f8e184', 'ac48c38776ff19b4', 'bdb3557134ca4ed9', '1cde7ff2620f4438', 'ed55991691ca8f5d', '60e4d5baad1d2958', 'c8a7b4a4f4c2a1fd', 'e3126dd6643e2a63', '06ccbb8ea74cfa82', 'd5cd07f5951dae35', 'd9963ae38f556282']; context = [[123, 178], [56, 131], [1, 80], [92, 149], [0, 42], [19, 72], [49, 125], [53, 122], [27, 109], [10, 77], [34, 80], [97, 162], [51, 100], [34, 105], [125, 207], [0, 72]]; loss = 0.010821 low_pass_filter = 0.300
+Epoch 0: | | 33289/? [6:17:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 33290; scene = ['0e0b8f80c06aaf0a', '52bc5e66187ece16', '17bd30519a9a3387', '410d94f29ddaa79c', 'b9518d3dd1f060c7', 'a5f5f9de4e24a755', '760a4c39741f46d4', 'b3abbcb1c46400fe', '9378834edf2b110a', '6452c61ddaaa86ae', '2821faf83e638b87', '74520135ed4d5b46', '98303db8f6edca81', '73e74277063e5ee6', 'a35acc1a9bd7c951', 'a7fb440edd22ab41']; context = [[79, 159], [13, 81], [20, 65], [35, 113], [99, 153], [23, 101], [84, 148], [58, 117], [2, 74], [10, 58], [20, 77], [13, 77], [54, 108], [16, 63], [11, 84], [81, 142]]; loss = 0.009523 low_pass_filter = 0.300
+Epoch 0: | | 33299/? [6:17:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 33300; scene = ['fa3459aae14f9fbe', '41e8dcaf7ef2bf68', 'd9d53f69d4efb835', 'f3177ab889fdfa01', 'dbe6e6e1e66713f0', '0474fbfb616e83f6', '16903e81b5a7dbdf', 'cdaf106684259401', 'b4499342b7209bc9', '173560bc4a7ac463', '4efc6dce317e44fd', 'a95619eea3202e33', '6c466caacbb09d8a', 'e02379524872a73e', '1e2933e7a32d9d90', '39cdd9c86c7c16af']; context = [[77, 159], [45, 127], [90, 158], [220, 271], [85, 148], [4, 78], [0, 56], [11, 57], [1, 66], [0, 43], [51, 116], [20, 67], [0, 42], [28, 79], [113, 172], [30, 100]]; loss = 0.010748 low_pass_filter = 0.300
+Epoch 0: | | 33309/? [6:17:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 33310; scene = ['7f9afb310bcd794e', '8cc3897789fbe321', 'f8600f5570c30ed8', 'ce8e573ae3fb278f', 'a7d1c1b0380e024e', '9afdabbc75f6098b', 'b7395f918497e87e', 'b45e351361e11b7a', '36795c050903f898', '04fb9bbefd68c640', '618c5651f735369b', '3eb6b3f90098d44e', '94d86d8fd8bd3908', '9e16e2db38feb337', 'c9154135faca16c1', '47e15ca04ec95d65']; context = [[1, 69], [22, 100], [198, 275], [7, 54], [16, 73], [45, 116], [39, 86], [186, 235], [80, 123], [2, 76], [6, 52], [88, 137], [36, 101], [27, 94], [4, 63], [10, 74]]; loss = 0.009022 low_pass_filter = 0.300
+Epoch 0: | | 33319/? [6:17:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 33320; scene = ['f26569d1f35138a3', '83dd55551bb380d2', '789e3dd7a059f5d3', '28dfdf09d7e7f141', '42f9555cc5b7f279', 'f2d5fa6533aa8ff8', 'f7f0e9c9bb11a8f8', '095b327d0991f54e', 'a28a3e656cfcfeb7', '5234deee5bf92f77', '7dd60bec52f5cac0', '009ef0283740e7b3', 'a7c9db349b71b80d', 'beeec4c7c0124203', '5800cc8485fe481e', '614c143d4d36e67a']; context = [[14, 95], [31, 99], [3, 85], [99, 145], [6, 82], [96, 154], [3, 52], [229, 278], [71, 137], [96, 161], [51, 120], [8, 52], [46, 92], [84, 136], [8, 50], [201, 248]]; loss = 0.011678 low_pass_filter = 0.300
+Epoch 0: | | 33329/? [6:17:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 33330; scene = ['82052140f174ac58', '958fe0064cdf4fa3', '13fb5d75101de85f', '8d08c7ea1726e42c', '2b6a1efe983fbb21', 'c3c8116aa7b8bd72', '4dc18688d7035c2f', 'e6a4c397f62687e3', 'b3c7ff644ba2c88b', 'fdd482edf0cbd37e', '9a38c7681395953e', '173ec6098bac29fe', '1013958b9d5a57fd', '83fe566272def272', '757c2be20ce6cbb4', '3bb7b286dee65826']; context = [[208, 263], [50, 128], [27, 88], [0, 56], [12, 73], [37, 108], [1, 44], [1, 81], [41, 122], [36, 91], [11, 67], [90, 142], [122, 166], [17, 76], [201, 276], [85, 145]]; loss = 0.012796 low_pass_filter = 0.300
+Epoch 0: | | 33339/? [6:18:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 33340; scene = ['8663a913aa496524', '9a459290fa63b082', '6d152b36a2c6b3a0', 'eb11a3065fa51c18', '2c5110884efb7b8e', '2248dfd686c001dd', 'ca894ae64063abe9', '2534607529c2b18f', '271e98f377d9979a', '0c6a2ce61c921520', 'cba7a7869de72700', '3a394bb7b1240d9f', '9575639b887c61b5', 'ab96d082e3ebc5f3', 'bab59381c6649e73', 'ce1f0239d2998405']; context = [[88, 133], [50, 105], [1, 71], [35, 105], [4, 50], [33, 87], [117, 180], [60, 142], [109, 151], [27, 79], [2, 74], [205, 251], [27, 109], [127, 205], [0, 48], [11, 67]]; loss = 0.010045 low_pass_filter = 0.300
+Epoch 0: | | 33349/? [6:18:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 33350; scene = ['ac8b3ea31c649bf0', '5197f4fc56c524cb', 'd422e6d19f76b87b', '082c89448fae34bb', 'af4ee662141b52e9', 'dbbbe61aa0ab4db0', 'f9db85111bbb3505', '62c9128dc359e7cd', '925366056b9f0d2c', 'af94791fa8bfc36e', '026b06ae517a3415', 'adade3f3c67639ab', '045a6a385f09e6f3', '7ed3419c7717bd7a', 'bb4b0c18a7a64c44', '9f390d2b297ecad6']; context = [[51, 125], [51, 94], [190, 235], [115, 192], [0, 42], [29, 109], [13, 60], [7, 51], [2, 61], [2, 72], [37, 115], [26, 108], [14, 70], [44, 87], [9, 70], [199, 249]]; loss = 0.009425 low_pass_filter = 0.300
+Epoch 0: | | 33359/? [6:18:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 33360; scene = ['aea116811766749a', '7fd3d476aa6aef4e', '9700e1ed86283bf5', '420a8a0e49338cd3', 'aed4ab886e0a61fd', 'cbfbe5dbbd67b665', '56ee1e154f94be42', 'ed6a7c0d24b57a50', 'f0f1856684aa6f41', '5ded278c1683c103', '83092ea7d7a9f842', 'd7903991af942879', 'e382974068595e36', 'dc5b8a1244a5d75a', '1c8182e508006626', '5a3ef807cc4e6415']; context = [[15, 93], [72, 124], [0, 62], [78, 130], [40, 112], [3, 62], [17, 70], [196, 272], [11, 82], [6, 69], [54, 134], [94, 175], [4, 86], [17, 92], [32, 93], [1, 73]]; loss = 0.012001 low_pass_filter = 0.300
+Epoch 0: | | 33369/? [6:18:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33370; scene = ['8d5e57e2ba2c0ca5', 'ffa9716058d530eb', 'a5d99c0cc0020b1f', 'e5055d4057f8f9bc', '3ae9fa065ce202ba', '5bbaacbbd512b476', '59533641941829e5', '8ab89c28abec88c9', 'fd2eb22dfc973a75', '0b2967b4f7e897ec', '8c9a1857ae2de88f', '69c56895f9cd7d39', 'c02e332cd10f31a9', '7e20c0ec657b9108', 'd525f6bb65c65f2e', '04e324ecc5853826']; context = [[45, 126], [104, 147], [9, 73], [136, 180], [71, 146], [11, 85], [122, 183], [36, 108], [51, 109], [19, 93], [23, 70], [172, 220], [23, 94], [0, 45], [4, 51], [2, 83]]; loss = 0.010244 low_pass_filter = 0.300
+Epoch 0: | | 33379/? [6:18:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 33380; scene = ['5b589353ddc3bf10', 'b22c25c5adcf4d54', '10b6ddd1f8a0ff5e', '22769a18f32b28b9', '92183de07c13c62b', '318741d1904d9cd4', '6eaa3fb570204dc7', '5eaa327da5e98d9e', '78db410dbb8202fe', '0b11c4c2d21a4f1b', 'a7c454119cd0c84f', '4078b0e80e1d4b3e', '790324d13c5db809', '54c2ffb9b031aa12', '38b83c7b78639e3f', 'b03141d1d2429dcc']; context = [[2, 67], [152, 211], [37, 96], [3, 60], [69, 115], [7, 57], [0, 44], [0, 52], [85, 131], [38, 113], [195, 260], [28, 87], [30, 92], [144, 204], [44, 104], [24, 71]]; loss = 0.013051 low_pass_filter = 0.300
+Epoch 0: | | 33389/? [6:18:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 33390; scene = ['bf5a6bd863756946', '5f2354a67645df18', '332a9eab3d114cf3', '3408234022293761', 'a37fb46545b26cd2', '6ddbbeea20a3c44a', 'af1881dd0b381614', '4fbd23abbcf605bc', 'e5beecca12b7d4da', '3aed1da2c9d08372', '9d4d381edb4d8429', '72295ce90bee7aa7', 'e9f90329d3a221ee', '2e8308c62f9f9d3e', '017db3179b9acc0e', 'f8be016e9da13a3e']; context = [[1, 44], [100, 182], [1, 63], [22, 75], [7, 53], [3, 56], [38, 99], [104, 164], [37, 112], [5, 85], [28, 96], [26, 68], [12, 56], [24, 66], [74, 151], [166, 240]]; loss = 0.010653 low_pass_filter = 0.300
+Epoch 0: | | 33399/? [6:18:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 33400; scene = ['561ec929b559f44d', 'a90af48eb51bc004', 'f161b9ffac652421', '5e4bf45a027dab4c', 'add6967a91485c9b', 'af989050871d3063', '261e55c323a2b196', '37c752b388ea0d16', '1d0db89d39191516', 'ea7648c11d71d569', '31be225a56177487', 'fdd5a412245006ab', '695a744c7eb7c26e', '0171fad21c2da68d', 'e40c1441aec53a72', '569b4f2bbd5ca97d']; context = [[44, 112], [170, 226], [15, 97], [185, 235], [6, 73], [21, 80], [96, 174], [4, 70], [33, 103], [0, 46], [6, 87], [76, 145], [4, 78], [24, 84], [38, 80], [82, 142]]; loss = 0.011534 low_pass_filter = 0.300
+Epoch 0: | | 33409/? [6:18:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33410; scene = ['ceacb09798597135', '2784199015a0b111', '651108e0cb3fc225', 'ee29d5fe76ce2524', '19b3dcdb5298d93e', '2b7e5652a1a7cfa8', '9b55210b36c9539a', 'dd9a17d0096c2303', '953260b64d3ddf51', 'bb503977aa5aecb7', '38dfa3cb46d88c71', '14d3cda4c1be55ed', '5224582141df0ed9', '410deefce9809696', 'd5298f0109a44e82', 'de4a96ffa11a29bf']; context = [[152, 220], [2, 53], [100, 146], [56, 124], [3, 64], [85, 133], [41, 95], [4, 79], [0, 64], [65, 110], [6, 52], [50, 116], [5, 57], [5, 54], [66, 146], [41, 100]]; loss = 0.012145 low_pass_filter = 0.300
+Epoch 0: | | 33419/? [6:18:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 33420; scene = ['ea357cfdb1ebe90d', 'bd2dcb0a4d2b8645', '4414c58676c9952a', '274fa63f8728b73b', '32d7ff686f72221e', '0befde1c678b05de', '506d1a24243d0c56', 'a4c5e65a8a1fba1a', 'c2b88667c45d9508', 'fa5873dc99dfde1d', 'd3e9fb196b944937', '0a178d6a8d53c07e', '43017fb4aed6625f', 'ffadc5456128c7f5', '16e6f88a12ca1a9b', '0895217c1d75fc75']; context = [[20, 97], [126, 184], [159, 237], [21, 69], [17, 63], [2, 45], [91, 143], [194, 246], [72, 134], [0, 52], [117, 184], [2, 48], [45, 92], [5, 59], [2, 70], [175, 247]]; loss = 0.008859 low_pass_filter = 0.300
+Epoch 0: | | 33429/? [6:19:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 33430; scene = ['d013dfb68f701a1a', 'eead71c22d5913d7', 'd360e4ad7de88071', 'a24365e23632fdec', 'd12502ac93ae80d5', '12888588515acac9', '8e24d300a6d2e767', '9a7b5d280d58af92', '4436792afd7385fb', 'f4476a9d4e1ac320', '08e3a573008a2c6b', '11f8143fed4a7bd0', '2cc2aeefc2ed77d1', '836fa68e739da13b', 'bb3d43e57b5dff80', '7ec8e2c63918d288']; context = [[12, 80], [56, 115], [1, 43], [60, 122], [4, 73], [16, 80], [100, 144], [12, 69], [69, 121], [4, 71], [13, 76], [222, 273], [42, 84], [5, 71], [80, 144], [80, 133]]; loss = 0.009544 low_pass_filter = 0.300
+Epoch 0: | | 33439/? [6:19:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 33440; scene = ['2572d5318c4a894c', 'b1960a647463572d', 'f5b005cd4438e2c6', '133df6db7dd9dab1', '24e2d1df4ded73d6', '3308f38305b81cbe', '868ff2e3f4d67849', 'e6b9870c1dc02f8d', 'e54340dc6d0ff20c', 'e29aacf03cf0a476', '55bc5c2ac085ff36', 'fba66650318c0534', '65d8a439ddbae342', '98a0969d2e61aabe', '775eeabe0a3a5d16', 'd2739cd7ec4f2ac9']; context = [[6, 52], [2, 69], [14, 79], [153, 217], [40, 83], [156, 217], [102, 170], [14, 66], [30, 84], [147, 191], [7, 58], [1, 65], [11, 66], [30, 73], [11, 71], [139, 211]]; loss = 0.009289 low_pass_filter = 0.300
+Epoch 0: | | 33449/? [6:19:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 33450; scene = ['72a14401b43b8331', '36b7a7b6d4f3e005', '1dc1e640b33ca268', '9ea0fdf572a31a45', '21c78c4ca6f54165', 'b7707f9169cfbfd7', '01f44320dba08f92', '2a6060b83b5b422d', '6d484dee4f0c6961', '5fc9e60c271b9a16', 'c88d7508d0194c57', 'ecbe588b1196e1de', '68276e0a2210a4c6', 'c23f64688bd5832c', 'a224062b7b93cb03', 'c4bdccc08c477c83']; context = [[42, 99], [16, 79], [28, 109], [5, 58], [11, 61], [93, 141], [94, 168], [100, 166], [8, 60], [21, 64], [100, 145], [17, 95], [116, 159], [10, 70], [44, 113], [39, 105]]; loss = 0.009370 low_pass_filter = 0.300
+Epoch 0: | | 33459/? [6:19:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 33460; scene = ['7cbf9883cb0c72d8', '7245e11c64786906', 'da0680ede2d63536', '88e9a2681f097a0a', 'c88763918c3b5bdc', 'ddc7cb426ce19857', 'bcb3fe11e61b8b2a', '01a6450c530ee399', '25a58d36fa78c387', '119e7ca7b87cbde3', 'ff5c14fe7d64c752', '3565e580c537c111', '74e586f3a110c76e', '50cdec1a4d15c162', '6b7ee8870d787967', '797430d383cf7e24']; context = [[26, 100], [61, 106], [8, 70], [19, 66], [136, 210], [68, 113], [62, 132], [32, 83], [12, 91], [52, 118], [112, 168], [7, 73], [12, 75], [4, 65], [50, 126], [136, 180]]; loss = 0.010263 low_pass_filter = 0.300
+Epoch 0: | | 33469/? [6:19:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 33470; scene = ['98a1924100186241', '8897ca4aaa904a14', 'e310d39b3b13542e', 'd426c64fa2b71ff8', 'bfaddc0e4ccfe12d', '1c32325abe22ac6f', 'f47ce554c1100cc0', '2b5e6d0ebc0b794d', 'e83f2a56d8c098e2', '12e15379b5d12957', '28d2f24cc7e2fccb', 'ad6382d589e53358', 'd68565483c9b4696', 'c7329bdb7df9f49e', 'e167c9e3a4ac3ddf', '0f72af29e689aa51']; context = [[88, 156], [1, 73], [0, 51], [0, 70], [168, 222], [14, 65], [111, 174], [20, 73], [43, 107], [6, 72], [14, 71], [40, 92], [19, 92], [19, 62], [121, 168], [78, 158]]; loss = 0.010613 low_pass_filter = 0.300
+Epoch 0: | | 33479/? [6:19:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 33480; scene = ['a89692d834adee1b', '693d2a2502b82380', 'c204e3171d16e39e', '0aad9b814aac4db8', 'b08d85cdcc4a4598', 'a16b0c66cd110882', '5bf15bd410312ae3', '87bf99d0c4839542', '4f09a928fbee28d3', '323fa8deac25071a', 'f155cca8dd2a8cc1', '8a97f4f0954bda5b', '003a243e0d37b315', '5b6fad04865aa615', '9d812fb06c8d197e', '9972e3c21d9e2447']; context = [[0, 79], [20, 83], [43, 109], [159, 221], [1, 56], [33, 106], [6, 51], [120, 169], [20, 90], [55, 116], [116, 197], [1, 79], [33, 79], [66, 137], [16, 81], [179, 243]]; loss = 0.008240 low_pass_filter = 0.300
+Epoch 0: | | 33489/? [6:19:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 33490; scene = ['51c0bebabb18c410', '7515dca6e9b2660e', '60fb060caf4e0c64', '822b566d24b29fb8', '93b947809d5bb994', '19bda55893b8fe34', '77cb8d2a58fcc095', '6ec99924a97ed7f5', 'd3c976525f0a1ba4', '85e72acb202e93c4', '66d4652ef890ce52', 'eb7fb058c14b7c07', '232eeca687ce1f7e', '7effa2a1152eb398', 'c60a05da5a4c0816', '4ff83ab9e59ad015']; context = [[6, 50], [106, 167], [57, 130], [28, 105], [136, 215], [16, 70], [8, 53], [0, 80], [7, 58], [96, 170], [1, 67], [3, 63], [7, 52], [32, 90], [33, 91], [40, 86]]; loss = 0.011478 low_pass_filter = 0.300
+Epoch 0: | | 33499/? [6:19:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 33500; scene = ['de4a96ffa11a29bf', '14d3cda4c1be55ed', '9b55210b36c9539a', 'b5283305f2e4d1d3', '964f6528722e8daa', '9d42e78d972987d8', '41ebff1627e201c6', 'c206fa909b93641d', 'cf54dbbf8815ad08', 'ef91c7c5959f3908', '55ec725ee0048c96', 'd1dcda2d415bbd91', 'd347cb2bab5996e6', '89f434159557854d', '4ed0cf754fc4454b', '223e2c052f914311']; context = [[36, 99], [86, 163], [21, 93], [17, 81], [31, 95], [128, 208], [21, 88], [45, 124], [10, 55], [95, 174], [65, 146], [37, 89], [11, 62], [16, 82], [26, 94], [6, 67]]; loss = 0.011983 low_pass_filter = 0.300
+Epoch 0: | | 33509/? [6:19:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 33510; scene = ['8ea7ceeafb6748e5', '4a20c466e50b402b', '9805373c2288a1dd', '1ed35ac17e62e112', '7a01f2fd6c6a119a', '0845841350913fc1', 'ee3298a5cd65a31e', '82c480b92e7f291d', '1401a2ebe30f8654', '7ad3231c24e827b9', '3f80d145e396a258', '7674a792dc7d4813', 'b4ffa1f6d55b36d5', 'f680164af3370245', '694b55576cadcfc0', 'b0442470142e211b']; context = [[84, 132], [23, 80], [0, 74], [0, 82], [39, 109], [92, 154], [6, 87], [10, 68], [6, 83], [89, 144], [44, 121], [1, 67], [33, 84], [21, 69], [1, 84], [20, 100]]; loss = 0.019677 low_pass_filter = 0.300
+Epoch 0: | | 33519/? [6:20:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 33520; scene = ['2f455705d2c96e66', '19531ca5571412d5', 'dbcbfa5009d3737f', 'b35ba634bd470e72', '084f8992d2c9e1da', 'ff737e3512d90ce0', '5614d74255c9c07c', 'ad777fcda1913f22', '61e0b3f6e588449a', 'b1b01c4928847afa', 'ea50226e563fa18f', '62b4841181d253e7', '599744efab33bc17', '5a964083e77ad70a', '0154f63a41517d47', 'bd4dc5d69a124ae4']; context = [[137, 185], [79, 132], [0, 45], [10, 68], [30, 83], [60, 135], [43, 107], [12, 89], [1, 48], [162, 205], [0, 43], [19, 72], [94, 147], [72, 114], [115, 197], [9, 73]]; loss = 0.009151 low_pass_filter = 0.300
+Epoch 0: | | 33529/? [6:20:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 33530; scene = ['9c8286c401c0466a', '0cba14315813f701', 'f80be392fd0df3ea', '943ef50bba764f64', 'ca54e98bf836370d', '2e7e83f0936f48ed', 'd1adbcd382e291e2', 'e96cb36ba03824cc', 'cdfa2ba7d2ed2047', 'bce74d743b6fdc0e', 'bc0416bb78a802ee', 'b17ef7cf07069daf', 'fd2445087b521bed', '049445c627d6850b', '8ffdc96ba9272c33', 'f73c3fd388f4b5e9']; context = [[1, 62], [98, 152], [4, 55], [88, 139], [141, 184], [87, 167], [69, 115], [97, 158], [3, 57], [56, 99], [8, 70], [11, 71], [3, 61], [68, 147], [29, 81], [1, 72]]; loss = 0.010023 low_pass_filter = 0.300
+Epoch 0: | | 33539/? [6:20:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 33540; scene = ['e0f1516dff86e499', '4f4b62095d035442', '76117833d0b00459', 'f1f2ab311bf11cce', 'd407e9cd865ce4a0', 'e5ae5d0cde455edf', '73918a89fd11ca1e', 'f32902b7f5e0045a', 'a4e81cb1ef33e750', '4dea6d53165f9c96', '24052f7618e5b23e', '6bacd75a12a4a79c', '064ba7c987abafd2', '0784b8d4f7f9bfa3', '8e30d1edd7e8519f', 'bc787d93d069b4e8']; context = [[41, 87], [29, 74], [0, 42], [130, 201], [22, 66], [145, 206], [48, 96], [5, 57], [5, 50], [20, 63], [135, 205], [30, 97], [45, 110], [97, 140], [95, 168], [1, 70]]; loss = 0.008308 low_pass_filter = 0.300
+Epoch 0: | | 33549/? [6:20:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 33550; scene = ['f88537148e14c641', '2aa5eafe7aa3e914', '7594ad9770a88e0f', '3c52bbe20a514f48', '1d58a359467ff24f', '1dfec4dc823cab8a', 'c7ed76ffbf949aa7', 'bdebc0ac44b0d725', 'ba3e38a071a523f0', 'c48ef8fab1483416', '352d2bdc1900b5e0', 'd839570bb3e08409', '066c3b89b421713c', '64d8643c793e4826', '5a02f56f8414e61b', '38cc781095a4cf06']; context = [[6, 67], [105, 180], [6, 86], [0, 67], [80, 157], [150, 225], [5, 74], [79, 134], [26, 83], [2, 82], [12, 62], [33, 96], [64, 115], [141, 187], [3, 57], [7, 49]]; loss = 0.009937 low_pass_filter = 0.300
+Epoch 0: | | 33559/? [6:20:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33560; scene = ['38a818f1e211f86d', '4e298abe7e304bce', 'abbae5cbecebdc76', 'c3ef99c82bc185e7', '4561c06d33f28c85', '564a9a401e37c50b', '13521f3d950ae7c3', 'b29eef78e1972562', 'df869fb963216261', '58c71daec1b86e20', '1bdd8065417690d3', '53e05632cb9141bd', '4146c9cce23a9a8b', 'a57232a4ef2ec923', '086af5ca29f293a7', 'f1fee73a9b341480']; context = [[16, 91], [192, 247], [159, 225], [28, 89], [48, 94], [15, 67], [3, 74], [175, 230], [19, 74], [57, 134], [19, 96], [18, 65], [184, 233], [146, 188], [39, 110], [16, 73]]; loss = 0.010089 low_pass_filter = 0.300
+Epoch 0: | | 33569/? [6:20:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 33570; scene = ['947e933cea84f908', '0d1cbe0e0f794a01', '3eba72d0bf6d4ab2', '2719b9796ee025aa', '00980329a3221f1c', 'f7049958f65a5e49', '6f3fb517d1798d03', 'cd0794502b8203f9', '6ca890904770aebb', 'e923507f19f5cfba', '7544731be485052b', '81c8fbde888c820b', '009700fcc49fe368', '593538382d2dc847', '8b52d8f5da192534', 'b6d06e505b0cbe3e']; context = [[118, 188], [117, 176], [4, 73], [105, 153], [11, 67], [23, 102], [2, 52], [2, 73], [191, 247], [2, 61], [15, 65], [64, 139], [21, 100], [5, 77], [49, 119], [56, 122]]; loss = 0.010680 low_pass_filter = 0.300
+Epoch 0: | | 33579/? [6:20:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 33580; scene = ['ff2333bce3662cbc', '6598c4db67d3f87e', '80acbea9c3850c4c', '7a25f6222cff4aac', '30512795ac2bb625', 'e50cab8f6d9117b7', '45fb1347cd3a5eff', '7a37989147703fe6', 'f446313cb440ed1e', '9010748f8cfe88b9', '8053ed847b0af4a1', 'd3632550fa9e2ebd', '5e027a4bea7f4724', '24887d4b62338558', 'f689c2aa8c701b90', '289685420c8f68da']; context = [[6, 64], [179, 242], [7, 63], [5, 66], [168, 213], [3, 75], [160, 218], [97, 173], [28, 73], [7, 74], [36, 86], [11, 64], [28, 98], [96, 175], [0, 64], [6, 72]]; loss = 0.013924 low_pass_filter = 0.300
+Epoch 0: | | 33589/? [6:20:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33590; scene = ['262e8b8dcef4d739', 'ac168a8c9e0e39fb', 'b996b08a423681d8', 'b91de0372ce2d269', 'd49cf9b73b9e4e33', 'fb556c16e9fd3894', '7384805913eff0e8', '7c0a941ded05e96f', '1f76424253e03678', '450e183660bd3aee', '17e3ffa593ceb79e', '8fdb315ef82a2d99', '2dd4d2a252e34405', '86d9acf576d8ec0b', '83c9baf5bbc941ee', '36846d6fa22bba62']; context = [[45, 99], [13, 80], [1, 82], [0, 72], [4, 46], [56, 110], [0, 74], [109, 181], [141, 222], [18, 89], [2, 48], [51, 130], [33, 79], [80, 146], [110, 166], [3, 58]]; loss = 0.015788 low_pass_filter = 0.300
+Epoch 0: | | 33599/? [6:20:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 33600; scene = ['afde61f51906fc5b', 'add63edd0fc1cba7', '32180fdde0a2f217', 'b35e13c7d602603d', '02d8bb7d9a697e4b', '337f55eb7d340c6c', '87e15183ad6df63d', 'efd0fc40e46dcabd', '51166927e65a7bb4', '721db478d9515f86', 'cb5f6c0661ca22c9', '99a479337d304313', '9284360e57fe697f', '4465d9c64a7e061a', '9103445c2aaf7c72', '980d5be5c42288d8']; context = [[59, 127], [129, 212], [41, 98], [14, 69], [30, 111], [5, 62], [16, 82], [34, 106], [22, 95], [5, 86], [27, 104], [12, 55], [21, 71], [7, 82], [8, 73], [127, 173]]; loss = 0.009923 low_pass_filter = 0.300
+Epoch 0: | | 33609/? [6:21:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33610; scene = ['00c7f4d292a58bd3', '24aa7d35a296bf5b', '3494d1f46ae280ce', '6a1c56504c0bb47f', '79cb5fc3ee21d2a3', '6dd17de596dae3be', 'f01f0f602cf82f5b', '6f9de440653bb88a', '7a93a1f75a9636ca', 'a0792de6d36408c4', '17d3a16e71d99061', '5201b074adcc1957', '43efc8210bf1153e', '3a5a38a182b82f99', '70b2f221ecf229c0', '4530113d1d7f71db']; context = [[7, 80], [25, 96], [28, 100], [65, 122], [133, 200], [137, 207], [8, 90], [15, 75], [41, 98], [25, 72], [29, 72], [61, 107], [7, 59], [16, 90], [6, 48], [4, 61]]; loss = 0.011490 low_pass_filter = 0.300
+Epoch 0: | | 33619/? [6:21:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33620; scene = ['6a11871c9643bd79', 'e72abbc2e978475b', '2b85a6b46f2ea8de', 'c03584d560ed0694', '4a8762d88f3bf6c1', 'ab2680bf91942e23', '759e3ce6b1697e24', '2669ec280a58317e', 'dc687c6a52dcaa7d', 'eea357830462376e', '5c83dfc8f9ab44fa', '46eccfae1e09e577', 'd70ca840b3c5aec9', '9ae014f2de2a2789', 'a51924de0664b468', '0f0be0623083a2af']; context = [[14, 84], [25, 68], [7, 72], [27, 77], [113, 181], [84, 141], [133, 212], [28, 88], [3, 47], [6, 80], [21, 76], [128, 194], [144, 215], [10, 72], [12, 82], [20, 100]]; loss = 0.008613 low_pass_filter = 0.300
+Epoch 0: | | 33629/? [6:21:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 33630; scene = ['459690a341c549db', '0ff852b74d9a7557', '934acea523f11875', 'fc44ec58e01708cd', 'd196dc894157ca53', 'fa114cb02b25cf9c', '5108afe9f18fa9ed', 'f0c1455efb8d4272', '0da66e0b84245e9a', '4e63d66b5be95f86', '1b05efe10364c018', '0d58b951f36e525e', '51906f14ac9f95c4', 'f86cf6a67566bbee', 'b095acdded6e47d1', '83689b78310fab98']; context = [[119, 186], [96, 156], [6, 56], [19, 76], [62, 107], [11, 54], [28, 82], [0, 45], [34, 98], [2, 47], [45, 116], [32, 103], [17, 86], [26, 89], [92, 139], [28, 77]]; loss = 0.008817 low_pass_filter = 0.300
+Epoch 0: | | 33639/? [6:21:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33640; scene = ['de9083d38b03fd46', 'f3e22bd30457802b', '8c2067631995309f', '895cdbd2d21c3d05', 'f75167ab4259531e', '0823531fac97d9c8', 'ed301ea795ca2156', 'bf7e0756f7e60574', '240b8f2b7b0b80e6', '2f2219164c52bbe0', '87e89709bc88630e', '9b7612cf5dd4b8c5', 'ed2c7aace887364b', '0d6e74470896232a', 'd02b197edbb79d35', '61332cebfe33da87']; context = [[0, 64], [1, 81], [46, 101], [128, 196], [13, 82], [65, 129], [1, 48], [43, 107], [4, 84], [14, 64], [1, 72], [66, 112], [66, 133], [0, 68], [184, 246], [142, 220]]; loss = 0.010248 low_pass_filter = 0.300
+Epoch 0: | | 33649/? [6:21:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 33650; scene = ['5058a979977a4184', '94662e1320792336', 'd310ae67e900586d', '3e10a47a93c8fef0', '44d8cb6fbc7d70cd', 'e390cddc191190ef', '085190d797be02a9', '59645825f18fbe9d', '1c24b3c0983d6d66', 'c2e7a81ba3a9dad6', '75d2d730966efbe5', 'ca647128fec496b6', '76ce9bd95ed81200', 'aff3adf77641ddcb', '9d8fce11475b16c8', '18061c7463438d89']; context = [[42, 97], [4, 72], [35, 85], [62, 127], [98, 143], [6, 89], [7, 78], [53, 101], [201, 266], [12, 64], [59, 132], [63, 121], [45, 91], [48, 126], [11, 62], [14, 80]]; loss = 0.010717 low_pass_filter = 0.300
+Epoch 0: | | 33659/? [6:21:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 33660; scene = ['c792e7bbaa1e7edd', 'bbf6e68d193c39cd', '1c574a0a214c7b60', '6d55c2c63ca27b57', 'f7f53a9d54d4098f', 'c6b4ee182a0c8f70', '155507e6c573ea0f', 'df3ab587bd731a9a', '08b7f061e79af09a', '28edd0fc4cc7a93e', 'f873485ea901f0aa', 'dde08cbd97dc236f', '841ee91a0c838e80', '30bce8b8eff608f4', '12443a11c95102c3', 'b9d775a543d2f100']; context = [[205, 262], [73, 152], [2, 77], [17, 64], [1, 69], [50, 106], [119, 168], [127, 179], [24, 84], [19, 75], [5, 81], [69, 148], [67, 114], [21, 70], [0, 45], [3, 59]]; loss = 0.014496 low_pass_filter = 0.300
+Epoch 0: | | 33669/? [6:21:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 33670; scene = ['59f044f15cfc9069', '0b9ed52adb641450', '3a6ad27ec85f4a92', 'b7006bcf65234db8', '79b558e7de32d04b', 'e5328e7818e3e14d', 'a6a3c4ea1adc0a50', '4f5bb37252882a4e', '7a96795256185ae0', '8ace2dc308ef63df', '93a8e624d2dfea7d', '82cdd6ac972ce6ba', 'f16491b0e65a0f22', 'cf43132b650cce0d', '7790737b3e799a4d', '284ba5ed02b6557c']; context = [[52, 124], [14, 87], [40, 94], [25, 108], [125, 184], [6, 88], [50, 123], [9, 51], [68, 112], [31, 77], [18, 87], [0, 83], [2, 56], [77, 124], [30, 73], [1, 84]]; loss = 0.011100 low_pass_filter = 0.300
+Epoch 0: | | 33679/? [6:21:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 33680; scene = ['56de90d301aa635d', 'ce382282a7179a08', 'c5db95d0db99e5f2', 'b723ebcc4b3a7894', '3a57d0ca627205cc', '0b61e5cda871bfcb', '0143864395cecb80', 'f08a49f7e35dd20c', 'b3a97d27c519cdea', 'afb2a56969dfeb12', '853c7eebbeca0d3c', '9aaff40d2f0278f0', '5244fc9d5e9e355b', 'dde8845ccf64c76f', 'd50420b20607f2de', 'c7eb5da11af412d6']; context = [[58, 130], [12, 68], [67, 126], [76, 119], [0, 49], [0, 74], [28, 78], [39, 90], [0, 42], [30, 104], [9, 66], [1, 44], [3, 83], [20, 84], [4, 55], [84, 130]]; loss = 0.010507 low_pass_filter = 0.300
+Epoch 0: | | 33689/? [6:21:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 33690; scene = ['db21d3ab55c463d4', '8c0bdc962f9677d4', '65ed01304acdce43', 'c396afc17225aed4', '6d32afee308e48bb', '137e555b5477036a', 'e0e3950337490cec', '618567fd6a77f656', 'f1066afe8efd425c', '481bc28cf74dc03a', 'c13693eff6eb0796', '21441ce339017578', '9ed19d5506da8047', '7629b9492036f956', '3e35d64c3de4d110', '7fec6b8b738c23ee']; context = [[20, 88], [22, 72], [3, 49], [23, 93], [11, 56], [27, 108], [0, 48], [91, 150], [57, 106], [61, 130], [26, 73], [83, 151], [9, 85], [5, 65], [68, 147], [61, 143]]; loss = 0.010849 low_pass_filter = 0.300
+Epoch 0: | | 33699/? [6:22:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 33700; scene = ['c27f30b71f9279fc', 'c12fac3629f20e64', 'df2160a1c74477b6', '16d3bee1ca19a1f3', 'c138045400b089a8', 'e2057c3395c0235f', '064f86a52bb038ef', '76102a284ac733bd', '1d610e7d3d756ca4', '3b93d15c3121c2b7', 'b58ebbe9b137ac08', '476031f93fd173b0', 'e2055fd77da8871b', 'ffae0c358d55ccd6', '55887fb50e8e3b55', 'b6699f4d039a5b06']; context = [[2, 71], [166, 223], [8, 55], [0, 62], [23, 77], [2, 66], [5, 47], [40, 116], [45, 91], [129, 177], [108, 153], [25, 77], [83, 154], [15, 74], [2, 63], [10, 58]]; loss = 0.011111 low_pass_filter = 0.300
+Epoch 0: | | 33709/? [6:22:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 33710; scene = ['f31c5a6b9ad29f74', 'd05fc17864e05a2c', 'f85c2b6f5a310fdc', '0800ddaabe7ceda1', 'bfba118281ee21ad', 'cfc32ddc6f4ebfa1', 'cfd0874da7e13ec4', '9739a6fad4b28ac6', 'd89902a23855e483', '60f02dbad72bb13a', '77ff8c06da2d057a', '81a468d3d0771bd4', '6ede7a3926290779', '564f2112de1a31e6', '6c57ac55cbade318', 'abda7c79ca34c2f8']; context = [[80, 149], [96, 139], [68, 138], [3, 58], [132, 201], [6, 80], [0, 47], [118, 182], [70, 130], [35, 113], [22, 86], [4, 69], [24, 69], [1, 83], [4, 48], [1, 47]]; loss = 0.008745 low_pass_filter = 0.300
+Epoch 0: | | 33719/? [6:22:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 33720; scene = ['3e0232925959536b', 'c70e8c5846b50b54', '153774d1b308ca71', '9c6afc23093a8433', '4b612eca55fc46fe', 'c30ef91c3a2d1a41', '7e0a4040418d94bb', '8c8903dd71f96459', '4683fc2de32acba7', '67ece8689909e1d2', 'c175666a466f77e1', 'a3bfa543314a0068', 'fac67aa77bcafd10', '8e512604f4c371de', '5dbc01d2068573f5', '9e628a03deba8464']; context = [[53, 98], [71, 133], [3, 48], [1, 63], [76, 138], [14, 57], [46, 114], [2, 84], [200, 254], [90, 167], [3, 78], [23, 93], [6, 65], [169, 222], [73, 147], [6, 50]]; loss = 0.010657 low_pass_filter = 0.300
+Epoch 0: | | 33729/? [6:22:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 33730; scene = ['bc67341c31098cca', '4748fe2cb767550f', '9131db90d0d6a335', '49fd72b56adf9337', '4e9777ce94f7ff22', '099e1ee28f91b5be', 'a060b2c8c0b177f2', 'dbdb7f0982601de9', '5d7f5b9a999487a2', '8f00ee0979b9f3eb', '94650809b1bfebe5', '9c9a09dc05ae0717', '046fb9f668ac6b20', 'd5dce1bf0842df59', '21638997ab0430ad', '08d205f4f1290034']; context = [[6, 59], [156, 199], [76, 141], [163, 206], [15, 62], [153, 199], [168, 220], [2, 45], [99, 159], [4, 80], [101, 171], [135, 177], [17, 86], [0, 42], [19, 88], [22, 83]]; loss = 0.009680 low_pass_filter = 0.300
+Epoch 0: | | 33739/? [6:22:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.50, train/active_min_children_step=4.0train step 33740; scene = ['41f000038be464ba', 'bd2d0ac38c8907d7', 'b7019be1d94ff06c', '0040ff89cd583609', '3d38b2a666993c21', '43f3809e04ddf7f3', '9f0597b818aa04fc', 'd90a0c2adef1eb1a', 'd07528c1136878f9', 'ed0248c4aa06bbe2', '41101beca852f72d', '91e920e12316d84b', '434bd83c81eae45d', '5111e9fee46cdb11', '208bd0af6bc8937b', '8728264c6018e495']; context = [[101, 175], [28, 85], [132, 208], [102, 165], [1, 43], [15, 73], [17, 97], [144, 190], [93, 144], [47, 130], [13, 81], [55, 107], [24, 93], [26, 72], [2, 75], [109, 189]]; loss = 0.009159 low_pass_filter = 0.300
+Epoch 0: | | 33749/? [6:22:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 33750; scene = ['5fae3a38b69ea340', 'ef0a592337c999f3', '11c3fd0ee0ff60c2', 'fcc2ecb0bc03aca1', '1cc3251f1e085d81', '69d6916a535a24eb', 'a8bb713dd5876fb3', '25aaf991662b1392', '42f96a7975e871c6', 'f966f4722ae3dc03', '9a7c6f09f20079c2', 'f8e7e4c60d55ea07', '2ed9d9cc2c4d0fde', '7afe74892b31d522', 'd8585b03b4c5b2f4', '8e0fd621715e26b5']; context = [[88, 151], [69, 111], [1, 82], [0, 72], [9, 61], [48, 111], [80, 159], [0, 42], [14, 87], [2, 67], [1, 77], [39, 104], [0, 49], [69, 147], [2, 79], [3, 82]]; loss = 0.012110 low_pass_filter = 0.300
+Epoch 0: | | 33759/? [6:22:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.90, train/active_min_children_step=4.0train step 33760; scene = ['f5c8d1e28d1755ee', 'd46375d124369411', '2ad7b1453cf18a65', '3347a0d7e17c3a9f', '090832426d674a08', '6ef3099511d24386', '756d2cf95e970c61', 'd0bae56464f6702c', 'd777e52d81fbc515', '46fb6702ed1b9967', '38169a64d14c2968', '05bfc76ddb55b2a7', '0474328f4cefd619', 'f2877fd3e188aca4', '8039342cf122c12d', '4b6ce8f7863bb02a']; context = [[11, 76], [11, 54], [0, 46], [11, 53], [10, 81], [100, 150], [180, 240], [86, 135], [40, 107], [132, 177], [1, 45], [33, 91], [136, 188], [13, 71], [1, 72], [71, 149]]; loss = 0.008469 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 33769/? [6:23:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 33770; scene = ['bf3e3a1d9c79c6ad', '8ae6a34f24ca17c7', 'cb2331e540c260ef', '374c8f92cf81790c', '49c70d4ec81b40ff', '768d3a09993a7e9d', '2fafe4c720233492', '59e536008a7f1abd', 'f13daa95a8b6d3cf', '0f18776cffbe3802', 'fe90475a8c70802c', '185019797e58d521', 'de2118e0b2974196', '8469432c4fae78ea', 'a631c0001529db4f', '764c6a2e15e46440']; context = [[6, 49], [13, 72], [1, 62], [12, 95], [18, 76], [3, 79], [24, 67], [2, 50], [9, 74], [62, 144], [7, 58], [34, 96], [103, 156], [20, 94], [88, 165], [54, 98]]; loss = 0.009827 low_pass_filter = 0.300
+Epoch 0: | | 33779/? [6:23:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 33780; scene = ['caa9ec5743956e5e', '23bc7de9205a2ced', '45e462394d584b16', '777944df0eb2b682', '38667b143565e79a', 'e223a883c0c16415', '571cd60ca252b93e', '14421a21370bd814', '7885bd17267ecef4', '311a8980ac58da1b', 'fc5b62bdd410f907', 'a1a8c3518bc6a3a3', '3e30d1a14cad58d5', '24744a1c7767e0f0', 'e16e982c96b26de0', 'bd8e178c4d928d09']; context = [[56, 133], [3, 65], [188, 250], [11, 94], [64, 114], [15, 98], [80, 123], [14, 66], [1, 46], [66, 116], [56, 120], [169, 229], [22, 95], [52, 127], [33, 83], [48, 95]]; loss = 0.012040 low_pass_filter = 0.300
+Epoch 0: | | 33789/? [6:23:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 33790; scene = ['c065b387ea32b3c1', 'cbd915620f0b433f', '75360b350aacca61', '338008a25afe3c9c', 'b6c080c0457896b1', '0ebbdd2d2ba475c7', '472681b6b747e84a', '09028d01a4e4343e', '0da32cfb9483ba52', '261966d35cb9048d', 'a60a2e4385f361ac', '1a2b1d9e7065035b', '73341b79eaf41f6a', '28e3c9a4261b68cf', '1316f6809b85ba42', '4b98f62e96b7e00a']; context = [[5, 58], [54, 127], [2, 66], [99, 177], [23, 75], [3, 57], [21, 73], [44, 104], [75, 118], [5, 57], [21, 73], [49, 101], [6, 64], [11, 60], [111, 169], [0, 51]]; loss = 0.011004 low_pass_filter = 0.300
+Epoch 0: | | 33799/? [6:23:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 33800; scene = ['c6246a94432e00c6', '842edd33637dfc83', 'e5db691627ea5357', '9a80121d71258b41', '5c4442779124ec3d', '6e0446b32be39b1f', '878a9cd31f4ad9f6', 'e93f2d8e5c3e2da3', 'c84c4db184037309', '86badfef4fc36bed', '7d597cedae289ee8', '319bd9ea90f25ea3', '210ab3c1a9d655e5', 'e8631b8149e42ce0', 'bc452bf30b9596ee', '640d78a72db813c5']; context = [[2, 47], [5, 61], [11, 60], [10, 82], [170, 219], [9, 55], [54, 121], [42, 114], [4, 48], [10, 87], [9, 54], [17, 87], [171, 232], [84, 140], [11, 58], [3, 62]]; loss = 0.008902 low_pass_filter = 0.300
+Epoch 0: | | 33809/? [6:23:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 33810; scene = ['749f35821374f0dc', '3db359985be722e1', 'f7ef5bb99bf643a1', '9cb7e3454afb2e2e', '2f6e8ec2b14bf552', 'e72f15ce7766ca25', '49f6c049c206ddd5', '7ff88bf82048bfdf', 'b9150a0deb480f1e', '6d93e8f7923b4d70', '9a4c0bb938bd7c83', '7f1444750fc50ba8', '752a2c0964a92680', 'f5b19c838f9f8b2e', '132c4737c30b0bf7', 'af018f37a5cfffcd']; context = [[37, 95], [61, 123], [78, 147], [12, 86], [99, 179], [4, 64], [126, 189], [1, 44], [3, 80], [61, 111], [2, 70], [190, 240], [203, 262], [42, 116], [17, 82], [77, 129]]; loss = 0.012949 low_pass_filter = 0.300
+Epoch 0: | | 33819/? [6:23:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 33820; scene = ['232e85250de4fc24', 'dc4ca047ad86ad9b', 'ff78f5cb272e5c78', '03e06c2a6e1c1708', 'c999a1922a53c7fd', 'cee0290238ec48ae', '304188462e3d3219', '03f22e694d8895e9', '7c8d84ba7289a65f', 'a197313c851249e5', '8eb6bcd27627d07c', 'e767e17d0fbfb288', '3689fe268c8f8400', 'dd5ec950a01c42a0', '6f64345a52ccd198', '7ce258bba41c9244']; context = [[190, 243], [165, 242], [60, 112], [43, 115], [4, 49], [14, 87], [10, 71], [77, 133], [17, 97], [27, 77], [130, 181], [50, 109], [23, 77], [9, 79], [5, 68], [60, 129]]; loss = 0.010984 low_pass_filter = 0.300
+Epoch 0: | | 33829/? [6:23:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 33830; scene = ['62768f361005f19f', 'a46e7baeca18297a', 'db19833fcf1647a1', 'b7dc241490a4f034', 'a349739cc4700dc0', '104b2bb6752bf882', '54d9fc8cdfeb4ba3', '9e6057bb35a73a84', '9672dc38502b0ba3', '137abbcd14bf4884', 'c4a817d11a8538c7', '52ee5cf9c011ebc6', '033380b8c9ced0fa', 'b663e4e4e1c815d6', '56df2b5ce47f0951', '8164609826cc1a78']; context = [[22, 80], [1, 48], [85, 144], [0, 53], [9, 53], [23, 105], [2, 82], [84, 127], [21, 82], [88, 169], [38, 105], [50, 107], [12, 86], [42, 86], [15, 96], [28, 75]]; loss = 0.010697 low_pass_filter = 0.300
+Epoch 0: | | 33839/? [6:23:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 33840; scene = ['7df87b841be16aa9', 'fb8f11f3617a14c3', '4e40f715298ecfb3', '5fc1aa4a0f9458f8', '78024dfabf9fa849', '703fec55ded7654a', 'ea3e0bbdfe22e669', '6d8b6fac92ceecad', '619ec1868bb4fff2', 'c8f87aacce98756e', 'c4b9605e3399e84a', '1cf552e14b79769d', '89cd0268f557d0f6', '10e35fb0eb1b120d', '5c12d0e4b30e7d1f', 'edc12d141059e496']; context = [[1, 64], [11, 80], [3, 83], [32, 111], [16, 71], [40, 87], [3, 47], [147, 193], [59, 142], [100, 178], [103, 181], [12, 79], [24, 88], [1, 66], [46, 96], [79, 159]]; loss = 0.011147 low_pass_filter = 0.300
+Epoch 0: | | 33849/? [6:23:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 33850; scene = ['e7fc26ae6767e953', '01fb53b15143522f', '39575de64c3de74b', '5ddd85e76a75199d', '29b67aa36466a2a3', 'd6f99a65ea33bfea', '2bb0b8de88e68323', '73cf2d50d2725a4c', '6ad716f9b6d89222', '27337c908b5c9837', '4cd0eaa10635df39', 'e3415f47c35a9313', '3569d686183705cf', 'ba34c467b9348fc1', '9454461f4e900bfe', '045578e7f6e44c6b']; context = [[5, 88], [10, 82], [62, 142], [49, 115], [6, 69], [15, 83], [4, 63], [9, 54], [35, 82], [19, 95], [4, 85], [33, 84], [15, 66], [4, 75], [13, 70], [153, 202]]; loss = 0.010413 low_pass_filter = 0.300
+Epoch 0: | | 33859/? [6:24:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 33860; scene = ['89fe7005e1d9debf', '679895a88529a64a', 'dd5052b4e6eace78', 'cb9fb0de27b9e658', '10c430f0b55254a1', 'f3818ef1c738cf74', 'b7930609eac0c10e', '895780d4e6c7c26c', '6fdea1a47180a4b7', '3f14828a1957b7f0', 'c715d9484ed86f27', 'b06c4b68ab1718fa', '6c50cace5a9d0ea4', 'd42fc65806d78ed0', 'ff4ac4733ea81002', 'ed7e2f22e2b5ba01']; context = [[0, 83], [4, 74], [7, 60], [1, 67], [8, 85], [86, 165], [56, 120], [13, 66], [98, 150], [1, 48], [223, 272], [82, 140], [130, 182], [96, 157], [114, 188], [8, 83]]; loss = 0.009414 low_pass_filter = 0.300
+Epoch 0: | | 33869/? [6:24:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 33870; scene = ['5fb786bf313144bb', '1d9e3cc9ee9036fb', 'e0c462f81b501a0f', 'a4cc10dede2eba84', 'ad75e36b74f6b033', 'e68bf4919dbd4e29', '20f3647b9c4356a9', '3abd72e83aac22b2', 'e03b97fe138496d7', '0b6bc1cddcc503af', '9d29b0289133ab4e', '1319170a73cb514d', '7b78a2113b0b67e0', '9a902960aaa032fd', '7afefd271f2ff47d', 'bedba1846d7b3f88']; context = [[90, 152], [1, 53], [94, 140], [0, 46], [146, 218], [51, 103], [26, 83], [197, 243], [57, 135], [4, 51], [126, 192], [27, 83], [101, 163], [115, 193], [75, 158], [6, 65]]; loss = 0.010584 low_pass_filter = 0.300
+Epoch 0: | | 33879/? [6:24:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 33880; scene = ['d2a98ac1375bad94', 'e1cafceb24432d44', 'a9b437c1a771c642', '8e1c0bc2d1f32fb0', 'caa51283afc66cae', '164e9587927eb0e9', '3a06d7ebb3cb5341', '9954c518245b7322', '1cff69e73b827bcb', 'd3af8e3b7f354487', '957517b6ed4d0048', '9839acd64985ac6b', 'cf91287a73911ff5', '0ed741df4437c6ba', '2ef0eef67b3b538b', '4e66b9803173ed3d']; context = [[4, 81], [8, 52], [9, 74], [20, 70], [10, 77], [40, 93], [0, 66], [10, 93], [14, 95], [77, 152], [45, 128], [7, 60], [8, 51], [3, 55], [3, 48], [10, 85]]; loss = 0.012260 low_pass_filter = 0.300
+Epoch 0: | | 33889/? [6:24:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 33890; scene = ['11c69796af56d901', '30da666be764ae4b', '186b1e7d8bc86601', 'bed31d8c359085c9', 'f4c433e3569e1b88', '6bcce32993a13c68', 'eaeadebc96d33431', '27ed8e7077af6540', '059cd20b64598054', '55e86e1ea48beeb5', '7fcb89af08ebffa4', '9bf17d6915557577', '365cc26334324afb', 'be252e2b4a8d5acf', '4646aca26dab9724', 'ff88692d320fdbe3']; context = [[9, 77], [11, 76], [57, 100], [7, 70], [41, 88], [50, 112], [62, 120], [68, 129], [11, 65], [1, 74], [10, 63], [161, 223], [38, 118], [8, 74], [0, 78], [136, 183]]; loss = 0.011864 low_pass_filter = 0.300
+Epoch 0: | | 33899/? [6:24:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 33900; scene = ['83f0a5456f9b1818', 'db4216b2a2281ce3', 'c491321e6678f76f', '44bc242930167a67', 'f13afb1b46890e37', '606a39f22e8d7b84', '389e63d778d22e90', 'ff2403c3a529c398', '1c40dd7f494f5c49', '42db4c46b6527336', '88de5a9dbaaced91', '6d2d7e8c12846ba9', 'c78080cd764ce09a', '6abfb2e52aea1a65', 'ac5122b9a344d3be', 'b1e83960965e92a9']; context = [[35, 91], [0, 81], [165, 239], [11, 63], [1, 44], [41, 111], [75, 149], [18, 93], [19, 63], [17, 70], [12, 94], [167, 220], [18, 69], [42, 115], [34, 85], [79, 147]]; loss = 0.041525 low_pass_filter = 0.300
+Epoch 0: | | 33909/? [6:24:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 33910; scene = ['54691c0ed1746861', '1c5a01b82f1a528e', '88b54948c12343ec', '51d5134a0133edbe', 'ba044f67680746d3', '2c5c6a9e4fedd138', 'c2a92391c4176e83', 'eeb07f912539cb81', 'dae885cae195f032', '2f9790e264304bad', 'de71bc8862551c2f', '7e6f9858de55db25', '664e178e1a6e2a5a', '67237e1421a4d661', '15256ecdaf019629', '8b2971fc892014a4']; context = [[102, 178], [84, 145], [10, 61], [13, 96], [16, 69], [55, 132], [43, 122], [3, 50], [199, 266], [17, 100], [15, 93], [4, 69], [50, 101], [156, 209], [93, 142], [0, 43]]; loss = 0.008980 low_pass_filter = 0.300
+Epoch 0: | | 33919/? [6:24:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 33920; scene = ['f9f240e5d3cc903d', '2b03daae55bca39c', '9eb21917c21c3605', '1be98df85c7a1b55', '41104f5f61ead9c8', '06a618829b0086cf', 'e2ab13f94d6c8599', '16554229918ea920', '2a9c1ad6089a1550', '7ace42c885ad095b', 'b580a3428b44251a', '4daa197edbec3fe3', '17544f453322cca9', 'b478a8183e750d6f', '638d352a194d1acd', '010571c8c397a29c']; context = [[23, 70], [32, 91], [206, 262], [124, 193], [0, 57], [67, 115], [4, 52], [13, 82], [28, 86], [74, 135], [76, 125], [119, 189], [2, 46], [62, 120], [0, 48], [138, 196]]; loss = 0.011475 low_pass_filter = 0.300
+Epoch 0: | | 33929/? [6:24:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 33930; scene = ['40655ef994aa4830', 'db61ac0ddc21d1c9', '555ecd2c155c121f', 'a08c943596691060', 'a6ac7fcc20eacfbe', '4b5938e9bd8838aa', '72eb8a686de01af4', '6e9b13edfea0b8ab', '8b5ec9064b23fe4a', '1620ee65c0c87b4e', '4d369a1a768a3f69', 'bd45578b77dea2ae', '9640c9d0bef9ad9b', '539a00c49ffd4478', '3a09916ab94d104a', '5449ea0f398b1296']; context = [[11, 67], [7, 58], [86, 137], [8, 81], [2, 60], [16, 70], [109, 172], [113, 183], [20, 65], [0, 62], [7, 67], [31, 82], [42, 96], [30, 80], [1, 55], [3, 59]]; loss = 0.007922 low_pass_filter = 0.300
+Epoch 0: | | 33939/? [6:24:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 33940; scene = ['b4cbe1753e9d2ae4', '776064ae58e63baa', 'b46177248cfd9660', 'f7f116fd4890b30f', 'abc3c3206c8c7b2c', '851fa0b5d499c1df', '9bd581fca2259350', 'a51b891b131020be', '9433f9e25035a257', '4588de03f6d0819d', 'baed0b1b56664c55', '877a629d92b63701', '70c64ce0990243b8', '256772a5575ec23a', '894ba981bfac8b19', '87e217f0fb889cd3']; context = [[179, 225], [50, 125], [14, 65], [1, 67], [7, 73], [2, 83], [29, 105], [0, 45], [32, 88], [158, 217], [103, 185], [19, 94], [7, 80], [13, 82], [1, 74], [39, 98]]; loss = 0.011140 low_pass_filter = 0.300
+Epoch 0: | | 33949/? [6:25:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 33950; scene = ['48a3ce4bd42f000d', '11cee9170b52e429', '83ed9d8ed9845e71', 'f1021f385c05e35e', '6c3f490ba179a038', '937deb71c0c4d1e5', '50a38c69abd2a064', 'f86b62c904dff358', 'd5200e6507f07d30', 'f27d1a7efefcd420', '89182bbf4b3f1b98', 'ccf546f5a8ea9cfc', 'd307fd3627868961', '8eb11b08983f5781', '3e5be5ea98eca2ec', '6d17cd15add9aff0']; context = [[17, 67], [44, 118], [30, 100], [41, 94], [53, 131], [1, 57], [13, 93], [14, 60], [29, 82], [108, 165], [43, 119], [76, 124], [42, 124], [5, 51], [13, 56], [36, 79]]; loss = 0.009829 low_pass_filter = 0.300
+Epoch 0: | | 33959/? [6:25:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 33960; scene = ['65e55a820aa22b65', '9aa9466e316e9e34', 'a55929a0ce757f40', '9a7abfb43f7410ad', 'fc988f2918f47414', '8e27facde4efe978', '403a9c5361f0a766', 'a66b89aac7e775d8', '2de6f75ff7a7575f', '21a72bef7976762e', '4fcd6477d1537474', '4f8f97692c8b6ac9', 'c82fb4a28a0819f2', '4dc998a7ac265049', '84c580445051e204', '21b7991bce6e5630']; context = [[22, 85], [128, 190], [140, 218], [66, 149], [66, 118], [1, 44], [8, 66], [76, 120], [32, 90], [10, 65], [110, 166], [0, 44], [162, 245], [0, 59], [7, 55], [18, 64]]; loss = 0.011393 low_pass_filter = 0.300
+Epoch 0: | | 33969/? [6:25:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 33970; scene = ['07cdcf1e89921c1f', '37321c182e5bf3ed', 'c326a47d6f346e43', '9dfc77c50a277b26', 'd2a9abc9f488ab92', '3f53473da1f537be', 'ac635718f0df20ce', '6174715e9df77674', 'edfe56997f23fd03', 'a050ff56fbb4233a', 'cbf4f24d31aacf75', 'c31c5aec6ca52a0f', 'ae9b392cb1d7be26', '2a28036d98f5a42d', 'a39de974d72b88b3', '70e09b2da21c935c']; context = [[7, 82], [9, 64], [25, 79], [4, 82], [4, 48], [1, 44], [70, 149], [5, 55], [14, 72], [50, 125], [179, 245], [113, 179], [0, 49], [6, 83], [31, 90], [8, 66]]; loss = 0.010748 low_pass_filter = 0.300
+Epoch 0: | | 33979/? [6:25:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 33980; scene = ['0754475e197e45c4', '9a4fc912c80e4ba9', '0b857200106481c0', 'bf19b0b66f74e2b7', '5b1f5aa8eacde6fe', '65ce0ad5ee94d430', 'ad43051ff3e03760', '0763cb68386479e1', '1df4638fdba064e7', '38f4c8a341068c06', '9bc403aa9e7c0705', 'cee014117a48eb94', '26cee54c91acd9da', 'f9d7f70bb0034f0d', 'cfbb220575fb9b02', '1bc2686e6cb1fb1a']; context = [[46, 97], [92, 145], [3, 70], [3, 84], [0, 48], [1, 51], [30, 98], [1, 79], [76, 138], [41, 91], [31, 105], [1, 81], [24, 73], [26, 87], [52, 95], [7, 54]]; loss = 0.010248 low_pass_filter = 0.300
+Epoch 0: | | 33989/? [6:25:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 33990; scene = ['e281213868014707', '7a159ffb882659db', '11360d957e7fed26', '16b46bf7b3709c2f', '32592856503a5110', 'cfac893736d0c31b', 'd800d4da5605b3d6', 'fe182ab98e3df748', 'e63cb12fc52c36c6', 'f60373796216b3e7', '9aa246217e9c04ea', '39dae4692d7b82da', '904ec56432f4a066', '5e9846591aa4776c', '2aacbb88b3a24147', '5c7e3e2104f8a0c7']; context = [[112, 185], [1, 54], [12, 72], [36, 83], [130, 205], [73, 150], [31, 75], [14, 69], [2, 46], [67, 127], [36, 98], [20, 98], [119, 169], [84, 154], [31, 109], [0, 69]]; loss = 0.010531 low_pass_filter = 0.300
+Epoch 0: | | 33999/? [6:25:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 34000; scene = ['66dd1b648808a447', 'b2e21dc0a2c78909', 'f7ec5b2e24b7dbc8', 'cefb490365f5df11', 'b398c410a57ee54e', '20bb938aece288dd', '58a2ed05f3b04dde', '718d659094544773', '0b2361b7ec75e234', '098ccdf6b4a2734b', '623640f3015a951f', '8aba5d8cbe4a821a', 'a202d9011de16580', '689b7893bcdefedd', 'f0962de86ac20fbf', '3be0e7ec02876810']; context = [[231, 275], [0, 43], [222, 274], [1, 51], [24, 72], [2, 57], [2, 85], [12, 64], [127, 172], [25, 100], [79, 154], [27, 110], [105, 179], [0, 46], [33, 97], [9, 60]]; loss = 0.009287 low_pass_filter = 0.300
+Epoch 0: | | 34000/? [6:25:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0validation step 34000; scene = ['a17fdfcb519750eb']; context = [[20, 89]]
+Epoch 0: | | 34009/? [6:25:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 34010; scene = ['695dd078bf67981b', 'cc7d1df29b624684', 'a423a6063cc0872a', '5501bbc294714910', 'adfc5568484cebf6', '34fa2f4f1daa9b1b', '63f783167cecb298', 'e7c88e154e80bcf5', 'acc984a718bb6ed0', 'f78ae8f99b60b424', '77d4d2a97731d767', 'fa0f8420b478c8e6', '51f581faf9000425', '56f3af5b5c87435e', 'b34e241b08ecb7d0', 'a883baeaf5486d4f']; context = [[2, 59], [16, 70], [5, 63], [48, 94], [11, 90], [3, 78], [13, 79], [18, 68], [3, 75], [0, 71], [43, 86], [10, 69], [15, 65], [30, 79], [8, 85], [6, 69]]; loss = 0.009435 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 34019/? [6:25:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 34020; scene = ['d08843a89e7375a6', '97e72d8bd82aa998', '554eec4e62ff08ff', 'a91564894324256d', '33ba82bd47909e3b', '8c0b0087bd94017f', '3eceb0c08c08242b', 'bfecac3e3bfe37c3', '58a5dc4980d05a6c', '5c5681473a27d80f', 'bb31564840f2db2f', '841c18be069dee4a', '3b6586c3b5c64f35', 'c2b40188e989bab0', '8d9b9fa4b8748ccd', 'e818adaa45e3d732']; context = [[1, 65], [2, 56], [12, 72], [10, 61], [54, 99], [98, 150], [28, 87], [37, 117], [7, 76], [12, 84], [3, 84], [22, 89], [33, 101], [168, 213], [115, 194], [4, 49]]; loss = 0.013669 low_pass_filter = 0.300
+Epoch 0: | | 34029/? [6:25:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 34030; scene = ['7275d38b8178efba', 'bddcbc19a6e72db4', '71a23bbc6bbbe3b9', '99aa8fe19b8215bf', '7abaee1726512c49', '67e60e8d574503ed', 'f6ea84bf429593ae', '1cbef069768557fc', '5d9475bc439c2e2f', 'cd746201c3c6cb74', '8f76cf20198943f9', '895a901ddd481ded', 'd2bb7463fe19637e', '5d21b42ceb929377', 'ec723bd46c6bb0d8', 'faea448f2b4288d3']; context = [[162, 243], [33, 99], [23, 105], [4, 53], [100, 170], [11, 74], [57, 112], [62, 125], [141, 220], [25, 101], [183, 236], [8, 59], [15, 60], [140, 183], [60, 126], [28, 72]]; loss = 0.011104 low_pass_filter = 0.300
+Epoch 0: | | 34039/? [6:26:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 34040; scene = ['2b92610ff58808bb', '7b1ac0cfb99be277', '772542fd431e3a6d', '2a6c45965d00e73a', '75c2593da6db5b51', '726ae1a792f76b49', 'd216bacfae811c2c', '81d9a45e3752415c', '1a62c49c1a96a7e4', 'ef8606ff8897efac', 'c5e7242756e6bdfa', 'ba57ad8ee0354f53', 'e3152b1ff94c2e15', 'd62c69dc9fd6be34', 'a41c750693eb1472', 'b12f64d6002ec745']; context = [[6, 53], [201, 260], [19, 90], [10, 58], [25, 107], [18, 92], [22, 65], [36, 110], [4, 50], [6, 73], [111, 167], [46, 101], [16, 78], [15, 61], [187, 263], [79, 142]]; loss = 0.012793 low_pass_filter = 0.300
+Epoch 0: | | 34049/? [6:26:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 34050; scene = ['1d24bc78932327f2', '854d8a46a26c619e', 'c9bff9622c63aea4', '190ca8283349ae9f', '7c8273fb4edb67a7', '37ff82da68ba6bee', 'e061310070ef88ae', '6175bdc7df037dfb', 'ec41cf9747640cc8', 'af71d7a4edf61c31', '8794b542b373e060', '4de744d02929d26d', '361942c99f3909c9', 'df6f66c2da76a830', '412222357402426d', '67c964e4dc73f102']; context = [[16, 73], [80, 151], [35, 107], [22, 67], [4, 55], [31, 108], [195, 256], [31, 89], [37, 83], [19, 82], [30, 104], [3, 80], [105, 184], [98, 150], [44, 98], [134, 214]]; loss = 0.009961 low_pass_filter = 0.300
+Epoch 0: | | 34059/? [6:26:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 34060; scene = ['b1f3e643fb405e5b', '0b82d6fdf7a104ad', '6cee6d0abdf16185', '51252022ddf74fb9', '1a306618ca817952', '69bf6e0583b4603e', '2431adcdd3aeeff3', '4771a5ec59fa8971', '8004aaab224eeb4c', 'a2195082c4afd506', '62b5a2608cd61049', '7354c8469d9c94fd', 'c8a560445ed75686', '98c1f3f761b7a9d8', 'da1d47d3a5a46250', '9b2788541dfe9a82']; context = [[101, 157], [195, 255], [1, 52], [104, 159], [57, 107], [100, 158], [137, 200], [66, 142], [144, 199], [66, 143], [9, 58], [7, 51], [39, 95], [24, 99], [45, 122], [0, 56]]; loss = 0.012530 low_pass_filter = 0.300
+Epoch 0: | | 34069/? [6:26:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 34070; scene = ['c179864f6886d590', '50d23c9f153fb2b8', '16f49e5091804328', 'fe11db7072e7666e', '64508af4bf3b2c10', '921504f59fb80a42', '22248456bae063ae', '896959276e244303', '7fe28874e9a523e7', 'b639a1cf1156a8ca', '1996702577ac768a', 'e5915107a9c58183', '4aca0b9f5148e064', '0d1436b89f8de224', '65fa0a94fbe48038', '446a7ddca0d1a28a']; context = [[10, 70], [166, 220], [28, 105], [24, 86], [0, 62], [0, 71], [146, 227], [71, 143], [3, 66], [9, 65], [8, 60], [0, 43], [50, 102], [91, 162], [0, 44], [57, 132]]; loss = 0.008148 low_pass_filter = 0.300
+Epoch 0: | | 34079/? [6:26:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 34080; scene = ['3dd1ee9ce46014e0', 'd8cb90fd13152e6c', '0788c973574d562f', '0ca0911df7c66c58', '946f96dfadda281b', 'd998d161753e9542', 'b651925fbd6adf04', '6c767949ba9cd00e', 'e9d8314a8d2d8dc2', 'f8e8aa4850d3463b', '3a0ea9f832ec69b1', '6551bb0d65d43809', 'd9a139899167f274', '6468627058d16ef2', '64578d13c55ab20e', '887c31fd60106dc4']; context = [[3, 79], [3, 54], [44, 102], [111, 172], [28, 107], [45, 117], [67, 139], [1, 59], [14, 77], [83, 137], [88, 144], [9, 87], [16, 59], [75, 120], [10, 57], [122, 171]]; loss = 0.010244 low_pass_filter = 0.300
+Epoch 0: | | 34089/? [6:26:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 34090; scene = ['f720437b9f3f2185', '7ed76c117c27b1e4', 'c0d1a0581fea22d5', 'd6630f80b45ff8c0', 'd5d73e1025a23bae', 'a2bc2177cf70eab6', 'fe2fce8e4eb8f882', 'e242d43a1ef0a6eb', 'ad7d01ce66eaa31d', '0a0b7d56d8bb16f3', '1e8f20a009268021', 'ef4a334b0a991e22', '0722e6b29c398d78', '6817374ad089ff46', '3effc4406f9ddaeb', 'b24e1ede1a96a6a7']; context = [[18, 99], [10, 86], [1, 46], [1, 44], [36, 83], [48, 108], [2, 48], [24, 78], [1, 66], [0, 45], [20, 101], [13, 58], [78, 137], [19, 84], [4, 50], [20, 73]]; loss = 0.008734 low_pass_filter = 0.300
+Epoch 0: | | 34099/? [6:26:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.0train step 34100; scene = ['aabc6d31aaa4b84c', '3010ed17e38d9071', '011096d6cf0ae11b', '8b19c78df2dd7e46', '670345b640158b96', 'd281c7ae9754972a', 'c1f2337f62ad3576', 'ea02fbd66994f682', 'a7a018165cd919a4', '4b0ec29104410efd', '8727a972009a2f02', '32b9ad4775ea81ec', 'ebcaad26ea067131', '6a13f52fc80a963b', 'afabee4e2943d012', '5f2242ceed2ff1cb']; context = [[1, 64], [7, 86], [77, 134], [1, 77], [4, 58], [2, 76], [17, 79], [4, 57], [0, 55], [39, 121], [1, 65], [53, 125], [215, 261], [10, 76], [112, 195], [9, 82]]; loss = 0.011987 low_pass_filter = 0.300
+Epoch 0: | | 34109/? [6:26:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.0train step 34110; scene = ['4cfdc3ed984caecf', '13f7e729c14cd10a', '07d791e644a21f03', '070e6ca07b5f898c', '6c5bdea82b1cbf83', '07aa57b4199f27d5', 'f9a627eee0723c47', '007d91ee3338229d', '4c7c15f05c85e656', 'b3e785efcbb39bed', 'a8580c6b2825efcb', 'a36899b1194dc5a7', '9a58dacbdeb095bb', 'c07f313faace15be', '42bb78b6bb2015b5', '46f24550cbb75e1d']; context = [[161, 205], [81, 124], [42, 111], [19, 67], [32, 108], [20, 63], [3, 48], [21, 65], [131, 179], [19, 74], [12, 65], [191, 237], [146, 195], [22, 67], [84, 166], [5, 53]]; loss = 0.008750 low_pass_filter = 0.300
+Epoch 0: | | 34119/? [6:27:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 34120; scene = ['263f0d42e8710c65', 'db90db656da7ff73', 'b00b0366223e6877', '884d641124559b04', '30db1003608bc643', 'fce6fac0521553e6', 'd4d7f2bcf36167db', '76191ac5e9901c93', 'a075654d92bb7466', 'e51d6a12b0cb9b52', '1cae7c062ea3575f', '53084bdfb22e88d2', '78ae18df249c1135', '99415b53b392a4f7', '5b3b4779dad39d24', '90a130ffb72b701f']; context = [[1, 83], [109, 174], [6, 61], [2, 48], [80, 123], [24, 107], [1, 84], [6, 70], [118, 179], [73, 118], [7, 50], [11, 66], [56, 116], [20, 66], [96, 140], [72, 118]]; loss = 0.010699 low_pass_filter = 0.300
+Epoch 0: | | 34129/? [6:27:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 34130; scene = ['85df3336ad90d5f3', '29d4c936815664ab', '8dd198d245a49bd5', '968ff100023b7cfd', '0a1ca07f00de4dbd', '9a9613d89b1c8587', '86440d86f60644b7', '19d9966b8862aca3', 'b52203577bf5ab66', 'b66059464cc436c0', 'd7b308d30c7e7630', 'ae102f2e58ac735b', 'ae13716dee49ec9c', 'b17038a5992d2efb', '81eb6c7798c391a1', '38d897635c61c8c9']; context = [[18, 66], [34, 115], [7, 89], [28, 111], [51, 95], [174, 249], [48, 97], [23, 86], [23, 78], [0, 64], [118, 187], [187, 250], [98, 179], [13, 66], [21, 80], [16, 78]]; loss = 0.013373 low_pass_filter = 0.300
+Epoch 0: | | 34139/? [6:27:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 34140; scene = ['c3717b9f586069e4', '3a4fb93324c90edf', '2aa6f67ade1bfc88', '6155643c15b60b3f', '7d6513e9e60673c7', 'afdd7c99c134261d', '35566e51a143cd1d', '1a3494f9652bd1d6', '17d10f12b9a17023', '738f847dac8b608e', '833c2edd626c81d5', 'b6378b9a8e0ab15e', 'd713d22cd9d67c5d', 'bef3852ecab6980b', '57826825f0963678', 'd78728ca5e6a3d20']; context = [[169, 241], [13, 59], [0, 83], [18, 68], [3, 50], [12, 64], [10, 66], [18, 83], [0, 44], [0, 61], [32, 88], [14, 86], [12, 67], [33, 89], [6, 50], [45, 91]]; loss = 0.010977 low_pass_filter = 0.300
+Epoch 0: | | 34149/? [6:27:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 34150; scene = ['511d24d81e925e48', 'f4fce4a624da37d9', '01d5a6ebd573b4ae', '8ef3803dd3c43c10', 'aa15562d0b9fc205', 'c8cc70f1e96adecb', '3921f3d86b2cacf0', 'e07b8e5f6e9fef91', '9b8641a671477a0b', '3f4ca1ecea630686', 'a32fc3de0b32b930', 'e83dbd16dec37e43', 'e6a8bd88834f30bc', '0eaec5ae110ae727', 'db03a39f685c9f43', 'f8b1b1dee0f06037']; context = [[72, 152], [6, 68], [13, 69], [57, 122], [79, 146], [170, 249], [15, 86], [87, 134], [46, 125], [0, 68], [14, 79], [2, 66], [58, 136], [83, 148], [30, 98], [82, 130]]; loss = 0.012074 low_pass_filter = 0.300
+Epoch 0: | | 34159/? [6:27:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 34160; scene = ['e1ea6a2fc9b462ca', '31177e3090079870', '8b634dd80fe44d1d', '13e3f8416df0e4a5', '8dcb65a86df04796', '4ca19f3a5dea6391', '9e16686cff67cab1', '5cfa9a2995f6c3e5', 'f7fc315b2c2ab371', '2e3fba29b0ef9eb8', '90c5b3052fd20e29', '9a361843bfa343b3', '31af458fd4f99627', '7149c979d457b227', 'd149a09ca599abf9', 'c9ec0ab676c1218a']; context = [[61, 116], [98, 173], [167, 245], [70, 136], [44, 97], [4, 74], [46, 90], [11, 55], [77, 139], [16, 72], [78, 159], [0, 55], [75, 124], [22, 85], [58, 113], [7, 68]]; loss = 0.010214 low_pass_filter = 0.300
+Epoch 0: | | 34169/? [6:27:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 34170; scene = ['af0471aa7cce2043', 'd7fa24650dae7321', '490640fb28797a5a', '28e3201ddd4e6d57', '4bb580c6c94c38c5', '10a1f8abfc11b748', '9b8b317f206cd862', '8cf950bb8bfbe226', '1918a9a4ac501168', '9b8ac62f51fb8b1b', 'ef275e6365132986', '3222f64880a7499d', '8b4e816055908df8', '137ed94737d1a31f', '31892d7becccb4c2', '5138d2433c0aef1a']; context = [[6, 70], [9, 65], [18, 77], [3, 75], [17, 74], [14, 95], [1, 66], [48, 124], [79, 125], [0, 57], [18, 79], [174, 243], [8, 69], [57, 100], [29, 102], [44, 103]]; loss = 0.011747 low_pass_filter = 0.300
+Epoch 0: | | 34179/? [6:27:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 34180; scene = ['26c6bb0e2234698b', '8060b04ab454bb81', '0c61bf4c72eee218', 'f107b68f4a5f2f10', 'fcc4e26b563a8d96', '590f202b18a0a562', '20d6ec0f2bc94541', '1d3d9af5e8de4a67', 'd5325aebc6be807e', '4dace0a9778018eb', 'c736f11c968c7121', '297dc136d19e7ace', 'aa6baa58fe0e6823', '9954d8448441bae6', 'd950e7899ea3c6b5', 'f46cd6716555abab']; context = [[139, 182], [178, 239], [0, 57], [167, 235], [49, 92], [56, 118], [27, 93], [2, 56], [58, 103], [2, 60], [13, 84], [4, 66], [21, 99], [14, 88], [3, 79], [113, 183]]; loss = 0.008433 low_pass_filter = 0.300
+Epoch 0: | | 34189/? [6:27:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 34190; scene = ['9ef7e60ae9442a54', 'a99e79f3bf4c13da', 'eb9d8eedd458413f', 'd05e005f82536372', 'd5616c51b75cea9e', 'f914acd76dc2439c', '26b59e475b721b70', '8c704f417547a201', 'ad29c27ce1807b96', '7d3a4db42458fcb5', 'bd44dde9c9a46f8d', '5aef79486958a9c9', 'a3da510ad5c8274e', '61195575024c6cf4', '5ae2c32a2062fc64', 'c632d386ce68841d']; context = [[30, 90], [9, 68], [5, 70], [6, 55], [38, 91], [97, 163], [41, 98], [0, 46], [0, 46], [98, 157], [47, 102], [78, 157], [102, 173], [75, 135], [1, 53], [60, 114]]; loss = 0.009695 low_pass_filter = 0.300
+Epoch 0: | | 34199/? [6:27:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 34200; scene = ['bf7183b5e8a651c9', '63f70b8bfa08420f', 'c76aa64f7f4f0967', 'ab28dcbaaddc294c', '4db2b26aa4c4277a', '18a4502aa1a59ed5', '04079c76c9372181', 'b5d76d0407dd07a7', '95ff7df105ade4ce', '69fe97eaa5511f9b', '13de5b48f1fd60e3', '06fed398baf81309', '61c58398a28dd9d5', '2b151a54e0287ce1', 'c602ef8e4559ef93', '3d998029b8876876']; context = [[4, 60], [83, 129], [1, 69], [25, 73], [2, 69], [2, 71], [39, 91], [81, 147], [5, 59], [57, 116], [31, 80], [149, 196], [10, 59], [189, 239], [18, 90], [151, 214]]; loss = 0.008334 low_pass_filter = 0.300
+Epoch 0: | | 34209/? [6:28:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 34210; scene = ['3b7938eaf2733a31', 'bcb1b35c603efea7', '2afa9fb38e8ed969', '02f5bb43339068c5', '829edc41b1f3753e', '83ab839d8677c959', 'e1070e8e8fe9d84c', '6f6897a5825cb0ba', '476081f1477b4542', '053a8ffc1fecb90f', 'e791f0a53b27bbd5', 'a814d663d6af2674', 'eba3604d6d93cf24', '3f32a9e82d3e1bf0', 'ab4e1a007da994fb', '34ee4b7e062656b6']; context = [[3, 66], [11, 66], [14, 69], [3, 86], [14, 90], [164, 235], [3, 71], [49, 110], [4, 48], [62, 112], [3, 78], [124, 176], [32, 95], [0, 67], [34, 89], [6, 63]]; loss = 0.008525 low_pass_filter = 0.300
+Epoch 0: | | 34219/? [6:28:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 34220; scene = ['004f2522f3d42f94', '2c842bb91ad229b5', '2d7b0f3fe3160b03', '8eb5e654849c2db9', 'c07c3b338ce22c3d', '63d7389f65f05e23', 'ea294617ac465cc9', 'a8200970f4297da4', 'ee38665a9d1868e8', '44e5847e0e0166c6', '419b1c98c2bddfc4', 'ffa35fefcaf1f3e4', '65d17630403ca06b', '6ff2ca5ecd3a0add', 'e9efe0fcc7a09cba', 'fea9df7bb5b4a7de']; context = [[118, 167], [6, 64], [147, 202], [0, 59], [1, 56], [14, 63], [27, 84], [136, 182], [4, 51], [31, 83], [43, 110], [10, 91], [56, 104], [67, 139], [38, 101], [27, 98]]; loss = 0.010273 low_pass_filter = 0.300
+Epoch 0: | | 34229/? [6:28:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 34230; scene = ['b4272c9622c487b1', 'a42bdc737a8b726c', '9b019ad156230e3d', 'f19c1b266757f967', '0d24a9841d825fe5', 'f648f8f5c2704677', 'af241626c1a84f99', '46ab911d11ef310a', 'a829c516eb0e8e13', 'b4ad86bd9ce6d38d', 'ac0880525e3d3c59', '6cbd015b79bdb917', '56ecb1658ea79417', 'b2d281a2a3be0076', 'b274a45818b70d29', '7797c026ca50f88b']; context = [[55, 113], [45, 100], [16, 94], [0, 84], [1, 62], [41, 103], [40, 103], [2, 46], [35, 78], [0, 43], [8, 61], [52, 135], [79, 150], [25, 89], [22, 75], [133, 213]]; loss = 0.009404 low_pass_filter = 0.300
+Epoch 0: | | 34239/? [6:28:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 34240; scene = ['0efc6af8523c24d3', '0eeba5401bf6431b', '247734c1f18b13e0', '9f410676f99482d4', '9581c4e12f850b42', '8c68730fd50900ac', '83aa60aa33391cdd', '16cc1cb2fcc391c8', '709fc2c17b0ea274', '4329969a7cf2df54', '72d7818d7a5c6929', 'ceed1e10887c0225', 'dbaaa42c678599b5', 'ced9eaec2af72a37', 'cdea215558754e76', '66530b646b00a9d7']; context = [[80, 125], [5, 67], [81, 161], [144, 188], [45, 107], [43, 107], [2, 79], [22, 73], [35, 78], [39, 89], [11, 62], [66, 110], [48, 100], [3, 46], [11, 75], [3, 56]]; loss = 0.009289 low_pass_filter = 0.300
+Epoch 0: | | 34249/? [6:28:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 34250; scene = ['7aedd2f74e750a45', '54d00f0b792f6fe8', '6e33e7372c9d4927', 'b4190d06c926f805', 'b2d2a992155c34ef', '43e291fe25c29492', 'd7aa89e4d7496f9e', '2f2ef5960c990916', 'e105f9684d242932', '5d69e11f2e2cc725', '185c62b6e5987061', '7eee1debf12cbc94', 'b89e7d0efbb85edc', '0d84f49089c8d865', 'dcfdedb838bddcba', '956da09524afb029']; context = [[70, 119], [136, 189], [124, 177], [36, 79], [79, 132], [2, 86], [105, 182], [22, 75], [0, 45], [29, 86], [29, 79], [21, 104], [2, 73], [4, 67], [0, 71], [51, 103]]; loss = 0.009415 low_pass_filter = 0.300
+Epoch 0: | | 34259/? [6:28:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 34260; scene = ['54d51c52ce0c1adb', 'f4bce04ab5bfb79a', '44fa1d39a18b5526', '86e586b33e7b6f38', '9c51cf4e89113126', '2479a45557099a67', '19cea81590502fad', '1df9284b9b3b08ec', '7885f21461cd4377', '406691a64cced965', '4ae3a70493900f6a', '5ccebb9ae8057cb7', '9d7bae0be039a957', '493811a076df63d0', '75f9f8b758663455', 'b135244ca7508cf0']; context = [[100, 144], [9, 60], [0, 78], [1, 44], [56, 135], [0, 43], [108, 155], [33, 95], [38, 82], [0, 59], [11, 58], [11, 64], [25, 94], [30, 91], [115, 196], [53, 108]]; loss = 0.010798 low_pass_filter = 0.300
+Epoch 0: | | 34269/? [6:28:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 34270; scene = ['2246a06adeacc230', 'a516469d68eb2932', '940c0485e5b7b5a8', '7328a7f5360fd6bf', '22cbdc156eda0b37', 'd807cc0cdc241ec3', 'd683f1b0a075297c', '0ea6cb5416dfeb41', '0c1ac606620e5238', '785c577c10d1cd0f', '185ff9bc1cf7087f', 'bb8e3512296a4179', '4761a8cf5e67b602', 'f0316dec0761d893', '7e283961a4f3f5f7', 'd13aa03815d4e6c7']; context = [[8, 65], [1, 53], [192, 260], [55, 112], [27, 99], [4, 78], [2, 56], [93, 147], [52, 134], [1, 56], [5, 69], [0, 50], [2, 75], [119, 181], [7, 54], [32, 111]]; loss = 0.009811 low_pass_filter = 0.300
+Epoch 0: | | 34279/? [6:28:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 34280; scene = ['1a846057f66a916b', '193f6046cfb64dbf', '63c3d74c9f4ec264', 'f4b87c8ce7b815f4', '57925ea5b7531821', '116d93103a2aa3b0', 'ca0b63e3f13cd7f0', 'd775362664f1f768', '75a8c6b3cfd92eb8', 'a7c974a1ec962ad8', '1e95fa0a11e26d17', 'a0c7cabb66c795a4', 'ac198ed69cc6b1cd', '6bdfbe59e9534640', '59ed5b3728d628fa', '050b94e6d6489b99']; context = [[3, 46], [15, 59], [64, 126], [50, 131], [167, 224], [101, 168], [44, 97], [33, 108], [74, 129], [115, 188], [52, 101], [30, 100], [209, 276], [8, 64], [33, 109], [25, 74]]; loss = 0.011623 low_pass_filter = 0.300
+Epoch 0: | | 34289/? [6:28:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 34290; scene = ['7cbf9883cb0c72d8', 'c88763918c3b5bdc', 'd4a3e84b341bec13', 'a1a1cb1f687a2607', '9b24a13077575305', 'da0680ede2d63536', '4da6746b3ebedda3', '03d4213c72458935', 'bb39eaf814bf4908', '0bfbd4e52e5beebc', '91f161840d0c1cc1', 'a69b521e2340c0ae', 'e3d2b4479546065f', '32f6317591f11355', '2599cb94d803738d', '53ce8007d1dae3d4']; context = [[23, 103], [102, 160], [88, 155], [40, 121], [0, 45], [15, 60], [86, 142], [25, 86], [46, 90], [18, 102], [20, 80], [37, 104], [4, 67], [4, 66], [10, 87], [15, 83]]; loss = 0.011431 low_pass_filter = 0.300
+Epoch 0: | | 34299/? [6:29:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 34300; scene = ['70ba8be172f1d209', 'ed1f9d7e553c16d3', 'fff4b775cc7b0e4f', '177f4c538bca33cb', '03e14075bd5a554f', '9d5681ac698e7930', '1dde46011900a1e1', 'b18ad2d92b4566cd', '2d2d0f5f4ed37eee', '7a2d701dd0bf81cf', '0bf7fd35f239db86', '63afb78b26d8b70b', '7671960ab3e573fd', 'f1ac0dde0dbf8211', '8163f7b33001ecb9', 'd527e5a0036f8b9a']; context = [[2, 65], [2, 67], [0, 52], [13, 72], [4, 87], [10, 67], [76, 144], [0, 76], [55, 114], [18, 80], [206, 249], [1, 45], [6, 88], [7, 50], [81, 165], [42, 99]]; loss = 0.010545 low_pass_filter = 0.300
+Epoch 0: | | 34309/? [6:29:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 34310; scene = ['fa6ced4fa66a5584', '0135fe3bef30e6c3', '601b0db72d32f000', '4a5b796fd4f12fdf', '742911cc30936fe7', '54cf1f74450300d1', '809b4a8e19071407', 'f95e0898918ca26c', 'e9cf45d13b468385', '64a6562ba1fe1b76', '4b2a8d7a2ac42b73', 'e08ae1ecf01f2cef', '4167c7cfb2795df7', '3c0c7168c5511e40', '7660185a4eb5a8e4', '93c2551e816d3735']; context = [[0, 43], [1, 63], [23, 78], [58, 125], [96, 159], [41, 106], [150, 214], [29, 92], [1, 44], [2, 51], [146, 226], [12, 86], [95, 160], [78, 122], [102, 182], [6, 56]]; loss = 0.010349 low_pass_filter = 0.300
+Epoch 0: | | 34319/? [6:29:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 34320; scene = ['fa719ee3473f76cc', 'e95c2d95eab5d56d', '1c1498bebb83c9d3', '6d46096d2e3f4758', 'f9f7c878a39ba914', '4a8f8b21796393e6', '1c7d28f3b9b4ed91', 'dbff0bd4a366d4e6', '3bfa4ebac540c2ea', 'ab36a2706d3397eb', '652de212e9a8cb31', 'e1c98eb4b93bdc15', '442b8ca8e4a5a01c', '2fe5a6b92cc71b74', '727d3f54f1a28a77', '1daa5a27b4119f90']; context = [[102, 175], [15, 78], [45, 104], [1, 46], [63, 109], [43, 87], [42, 102], [12, 92], [80, 148], [11, 90], [39, 91], [49, 118], [22, 68], [5, 80], [79, 132], [26, 85]]; loss = 0.009148 low_pass_filter = 0.300
+Epoch 0: | | 34329/? [6:29:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 34330; scene = ['a34d97a9bdae3aa1', '88c6dd400bd1a841', '794d1ad842fcfa28', '47569a0a8b03cf52', 'ff6f4bc5c7418ff1', 'dd7745df945bd1f3', '6dbd9c1cbfa5cae2', '61d1afca444f54d0', '2842753b23031595', '41792d33faff0078', '6b8599ed53efce9e', '067940baf48fda1b', '97c5c9f0afb8e09b', '9cb162f4d5462a69', 'aab096b87db1f7f9', '60a98bd587a94fe9']; context = [[2, 50], [1, 45], [2, 77], [1, 77], [96, 139], [110, 167], [1, 68], [75, 136], [3, 69], [1, 56], [49, 108], [4, 82], [30, 112], [78, 155], [22, 105], [31, 77]]; loss = 0.009365 low_pass_filter = 0.300
+Epoch 0: | | 34339/? [6:29:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 34340; scene = ['46fee8f9d1cbb8d1', '989c98919c961cdb', '782479430e1462b3', '4a8a904ebe41be1b', 'faf4417f82796005', '7951c157ec363151', 'a0870b4576a48a28', 'c068f4700315920b', '775413f90c7109a2', '5992275ecfbf71dd', '59b0b8a36f30d4da', 'f973883bcd188d2d', '6e5e03ba88986c46', 'e64bf22802b6a5ea', '72b10d15231b751b', 'a5a27648fdade0d9']; context = [[31, 88], [8, 69], [36, 81], [10, 91], [20, 77], [8, 88], [74, 154], [4, 64], [23, 66], [7, 83], [5, 62], [55, 110], [0, 46], [3, 69], [0, 83], [218, 278]]; loss = 0.009443 low_pass_filter = 0.300
+Epoch 0: | | 34349/? [6:29:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 34350; scene = ['0cbef6047abffe2d', 'bd6e2f14b44c41a5', '17d44006a4595567', '26f14525b77ae661', '4e67afbcae5c4887', '001d2c4c4b356c43', '205b22cbaf84bf3a', 'a0867ed5680ab015', '59900f1fd9d060db', '7b47efdd91a80bdd', 'afa9df1446e5df8e', '14cb8b8217e05c7b', 'e816595b84559b3a', 'bec4d71b7c7995ed', '7dfa29a40bbe8e56', 'ae8dc35121d72fea']; context = [[11, 60], [146, 208], [38, 86], [127, 183], [1, 81], [74, 126], [11, 61], [170, 245], [111, 157], [7, 77], [2, 62], [16, 79], [40, 123], [109, 178], [189, 253], [33, 117]]; loss = 0.009557 low_pass_filter = 0.300
+Epoch 0: | | 34359/? [6:29:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 34360; scene = ['a6306412ec45df24', '91706de6963638eb', 'a8d2264f21b3ce2c', 'be59ebae485dadf6', '5f9b3778934721a0', '39e607eacf75eaf7', '01d33474e64e76ca', '01dff3e73e135695', 'f1107a1bee7889a2', '3bfec395b8c94681', 'b708eb4026ae8eec', '4afa06236618dc34', 'b783fd026ee69b9b', '0dd89c7680c86b9d', '31872a4e7ae8faf8', '053fa3b31bd31cf6']; context = [[5, 52], [37, 90], [31, 77], [2, 60], [2, 64], [16, 97], [1, 61], [149, 225], [84, 144], [2, 48], [2, 48], [18, 62], [172, 235], [0, 56], [5, 53], [4, 72]]; loss = 0.010977 low_pass_filter = 0.300
+Epoch 0: | | 34369/? [6:29:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 34370; scene = ['a52873b76bc23753', 'c084573502466243', '2d24de854dd09f2b', 'ec332f99c36bc7d6', 'f3240c7519b47306', '53aeb61ed80422d1', '663bf6b629560036', 'bed50122582298d6', '63a83a8d50d79f02', 'a7ec0334b3040678', '83da596fda844e13', 'c8a73564d8b4de57', 'f7b279a4f56e5428', '7fcfbbf8ce73e9f2', '288dd95c3585b110', '5ff87250a0eb913b']; context = [[1, 74], [66, 147], [43, 126], [43, 106], [22, 106], [6, 56], [0, 65], [7, 69], [70, 145], [41, 123], [13, 56], [139, 221], [71, 119], [49, 129], [7, 58], [26, 89]]; loss = 0.012277 low_pass_filter = 0.300
+Epoch 0: | | 34379/? [6:29:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 34380; scene = ['a2012fea65fdb1d1', '1d260e4bebf2c0e6', '1825e5c359626746', '3834d878ae1525c6', 'bd64124de2aaeb79', 'd8e1cd667f0c5721', '2cf102bb6b9d37e8', '027f46042d62d8dd', '40f122a087305b92', 'a0f9a5c04c8e602b', '2eca62a782bb02c8', '8de516bd1928f1cf', 'f13e60a7684a798b', 'c391c8fad43fdc03', 'c3097f56d04659c0', 'd7d963a5b41cbcf8']; context = [[130, 177], [97, 155], [40, 119], [35, 109], [26, 73], [9, 59], [106, 158], [3, 64], [63, 126], [27, 85], [21, 71], [58, 137], [1, 52], [2, 55], [5, 72], [0, 76]]; loss = 0.011156 low_pass_filter = 0.300
+Epoch 0: | | 34389/? [6:30:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 34390; scene = ['3c692507a0a83d02', 'e60726e96c92ea50', '210cf1a3bb4a8bf1', 'b7168a9c1a6ec502', 'd15fc66cd14bb973', '404b4791b64c6df5', '53a047ae113b5b3f', '53754ca100a3c2a1', '1970a18a09507fc8', '9f9213ddabd7bac8', '3df78a46912f03d2', '7ac1e20b737a9707', '576d18e9ac5eff2d', '2028e7685d576a9f', '6d30b36107c16f16', '0f7bdf40fd6390b2']; context = [[191, 255], [30, 99], [29, 84], [6, 65], [10, 71], [2, 65], [170, 251], [8, 83], [151, 208], [10, 60], [183, 258], [15, 69], [113, 172], [11, 92], [117, 161], [36, 105]]; loss = 0.009967 low_pass_filter = 0.300
+Epoch 0: | | 34399/? [6:30:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 34400; scene = ['a4978d1996610c90', '59133f255b9d7921', '9a4703f139e789c3', '85e5486f71014fd1', '81f6a01b1cabb627', '2b1431735255ece4', 'a6d4cdfe24179caa', 'c48b5fc08f001f99', 'a13334b6ed0e5938', 'd0b3f6bd660985a2', '8452d5eb31590517', 'b438e71fc71a3e83', 'ae60de24dca7d5c9', 'ad56842663d10450', '93da955d2a4af2bf', '749b806a35c1bdf1']; context = [[114, 175], [2, 45], [14, 85], [15, 59], [34, 99], [1, 67], [11, 70], [47, 115], [93, 146], [15, 74], [178, 259], [47, 117], [158, 219], [11, 62], [15, 80], [27, 82]]; loss = 0.010755 low_pass_filter = 0.300
+Epoch 0: | | 34409/? [6:30:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 34410; scene = ['4738c550464831a2', 'f8d2e1da9fab8c3e', '5f820c5b6e0c0664', '4ada344aeea4b8ad', '652d6e93f1197250', 'd99a74faacce0325', '4d8fc16aa60bba1f', '25a02e81213b023f', 'b2d49c84a61c4983', '6610d80f8edf23ee', '68770587ee99ce5c', 'b40f4f82b98255d4', 'ab6600ef83892674', 'f1b3a5ea8e5b5c49', 'b1b3445652e40300', '9622d9a4e65bd2b9']; context = [[36, 96], [10, 93], [10, 58], [7, 57], [189, 257], [88, 139], [202, 276], [109, 170], [125, 208], [11, 54], [30, 73], [3, 53], [92, 141], [158, 242], [148, 216], [8, 59]]; loss = 0.009741 low_pass_filter = 0.300
+Epoch 0: | | 34419/? [6:30:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 34420; scene = ['f5c8d1e28d1755ee', '523de06262ca8188', '3347a0d7e17c3a9f', 'cbfae700b0802703', '65911963a46bcb83', 'f699191b86f38a08', '527ed10de8647f13', '8b700c2734f29339', '5dbffdf5e936ee74', '06478c4b8a84db0e', '340f5087521b0117', '521fca1af7388ac3', 'cb524479156837a7', 'da3ff7fbc613e687', 'a1de15d31837b1df', '55668f4c760d49d4']; context = [[31, 92], [25, 72], [4, 64], [5, 77], [31, 90], [31, 79], [62, 106], [126, 181], [21, 78], [29, 90], [120, 170], [1, 53], [154, 232], [134, 215], [4, 49], [10, 66]]; loss = 0.010523 low_pass_filter = 0.300
+Epoch 0: | | 34429/? [6:30:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 34430; scene = ['2cfc0d81293f8b81', '3c5242b434fdef8a', '0badb8c0dfa8d328', '9453fa28dfd12dfa', '78dff24134373857', '87e825ae30a124de', '066e63a6755acf80', 'b62bfc8b7c12625e', '5d02873ad626d986', '0ec6f123efb145d8', '882332e6c6912661', 'd90c624ad63cd48c', 'b49869c858d66e39', '1c9f469940116f01', 'c24195c8d6c4f8c5', 'dc72e7a087e05c73']; context = [[3, 72], [42, 89], [12, 61], [44, 116], [11, 85], [122, 197], [8, 56], [25, 80], [6, 52], [6, 80], [4, 84], [8, 51], [42, 105], [0, 74], [5, 85], [13, 66]]; loss = 0.010252 low_pass_filter = 0.300
+Epoch 0: | | 34439/? [6:30:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 34440; scene = ['50cdec1a4d15c162', '797430d383cf7e24', '3565e580c537c111', '480e8122be62a73b', 'ff5c14fe7d64c752', '119e7ca7b87cbde3', '891b961086b8c3c1', '98f9e6a5b0475808', '362336fc9e531a0a', 'f8f773a036b4752b', '370ed12221433e23', '6408008d0dcba73e', '4ad5cecab1988512', '6f8b6524e87dc23c', '85b228978708e76c', 'ec69b3992e315a79']; context = [[6, 63], [193, 268], [28, 88], [41, 84], [50, 118], [42, 123], [159, 233], [131, 186], [31, 111], [25, 85], [7, 81], [22, 90], [45, 91], [20, 85], [198, 254], [31, 101]]; loss = 0.008739 low_pass_filter = 0.300
+Epoch 0: | | 34449/? [6:30:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 34450; scene = ['cd2d5446f028b0dd', 'e3039931ad850b3b', '5fd67c044c52bf60', '99ceabbc97e0d7a3', '80c55d2356cf1eef', '145f629d9977445a', '28be4c2b9208df0d', '32a48aa0880e2c07', '4a6928c68a058ede', '0119a515554e72f6', 'a6c4fb00735bd61a', 'c5041e8f980b93e6', '9566fd91f2dbfc6f', '6484999915205218', '812572d41fa01fde', '982e78e4de84016d']; context = [[109, 164], [7, 87], [56, 104], [30, 96], [4, 68], [20, 82], [30, 84], [2, 68], [3, 59], [6, 78], [23, 80], [63, 135], [64, 112], [13, 63], [12, 69], [116, 177]]; loss = 0.013598 low_pass_filter = 0.300
+Epoch 0: | | 34459/? [6:30:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 34460; scene = ['3f1f6c65bc38ba4b', 'ecf44fdec12c9ddc', 'ece06aa8ec578fc5', '72655eb92e7a819e', '5635caabe31c654f', '532b4823217b37f4', '8379b59afe807099', '4828d3b7ef441838', '02a9f1d0c440516c', 'b8d7dad69da49e51', '62e2c4c0f76a53e8', '196e7292497fe4a3', 'de2eb4f6f8635fff', 'e5acb4c6ebf8af27', '26478c3488603e09', 'cc7dcffc9cba38a8']; context = [[50, 123], [72, 124], [0, 73], [79, 152], [145, 205], [61, 140], [71, 125], [140, 203], [23, 73], [151, 207], [31, 79], [18, 90], [18, 100], [33, 90], [40, 99], [38, 82]]; loss = 0.034785 low_pass_filter = 0.300
+Epoch 0: | | 34469/? [6:30:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 34470; scene = ['7f5e74372632e88a', '2f709b926f593fcf', '2f47027fac0c598b', 'fd84675a5268e518', 'abf952722816c296', '3fd549f7eef1c12b', '4a08d8aa17ee55a3', '5e7040c6384bdda7', '3a444379f8c5e5c0', 'fd36e02a115899ff', '9d46e65b9edc9c15', '8a37947c1ad8c097', '10491baf9035e557', 'b20f139496853291', '651e203d4e42216f', 'f2931f6cbcc0ca1b']; context = [[3, 61], [13, 69], [2, 53], [19, 75], [48, 126], [59, 108], [33, 98], [34, 81], [178, 239], [13, 69], [65, 123], [40, 85], [53, 114], [96, 147], [2, 82], [26, 70]]; loss = 0.009840 low_pass_filter = 0.300
+Epoch 0: | | 34479/? [6:31:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 34480; scene = ['b122086151399fd5', '2c53bdf1a35452f8', 'bbbddf57652d18ec', 'e4be2654b2b3e04d', 'af25eba8540f9cc4', '3685b42d1bbf7134', 'fb64ea010bd16134', 'd980c2148fcffb71', '4104b0bfb2c156ca', 'ccc8d58e0d033bb7', '3c5ec5198ce3f629', 'fa1283a15a087b2b', '9f6c4b30083b6e63', 'dc98ba58263487cc', 'd1d9e2aaf137d7b1', '2662634641e640da']; context = [[4, 64], [98, 158], [189, 249], [76, 130], [18, 78], [74, 153], [17, 72], [9, 78], [103, 181], [13, 93], [55, 128], [10, 62], [1, 54], [12, 83], [4, 68], [7, 53]]; loss = 0.009802 low_pass_filter = 0.300
+Epoch 0: | | 34489/? [6:31:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 34490; scene = ['b7de6d5965f4037f', 'd1f43e65f28ce3c8', '6cd738daee326500', 'e4169ebd4ebb1035', 'b9e1ba841aea9863', '2e8f22d6e88e516f', '1916b24e81c1a30d', '0825ae880bd3922f', '4526168c5b011f4a', '3e7cf13b44a04cf3', '6f4a53d9777183d8', 'd1c829d1f1825d24', '75e5ba7e7fb64fc0', 'ac5df5f432218bc1', 'd0aafe6b7593a8c6', 'accfed2fa6ff849d']; context = [[9, 64], [71, 125], [19, 62], [10, 69], [35, 98], [1, 77], [29, 101], [9, 53], [0, 73], [98, 182], [23, 82], [190, 270], [182, 242], [0, 43], [19, 79], [86, 139]]; loss = 0.010113 low_pass_filter = 0.300
+Epoch 0: | | 34499/? [6:31:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 34500; scene = ['0e312299aada689c', '818fb2e314a810cb', 'c349ef13e27da92a', '43558297b3bf32c5', '3209d1a9fe4edac3', '10c29deb681b55cf', '2ce944c8f052910e', '829dca1fdf41c748', '798554da3b801bfd', 'a886961a446251d8', '5d707a2d57727069', 'd585e74d7e2b840f', 'ea79dc836a78061d', '525bdd8b89129054', 'e852d57c6de796cc', '83f01c4310f19278']; context = [[57, 103], [53, 108], [9, 81], [115, 184], [128, 174], [4, 78], [107, 179], [3, 85], [3, 66], [49, 114], [164, 226], [16, 78], [22, 93], [5, 56], [36, 82], [14, 79]]; loss = 0.010536 low_pass_filter = 0.300
+Epoch 0: | | 34509/? [6:31:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 34510; scene = ['fea9de2cc9e3c9f4', '9b466aa794f2a952', '71df83fbad5e8161', 'd09259776759df85', '3948c903131133bb', '2926375ddae07bb9', '6dfa54a298bd9f1a', 'e90aaffa44f24d62', 'f69e99e1af925636', '0de4e1d6b188215d', '456580073fef681e', 'b9e81e1ba5472560', '5f70f2502a815d4e', '1b5aebb31dd24255', 'bc7a9a900e57d08a', 'f2db375a31ceccec']; context = [[36, 107], [158, 228], [19, 94], [15, 77], [56, 113], [14, 73], [147, 201], [2, 72], [0, 62], [8, 73], [0, 63], [173, 245], [14, 62], [0, 67], [5, 84], [188, 245]]; loss = 0.010874 low_pass_filter = 0.300
+Epoch 0: | | 34519/? [6:31:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 34520; scene = ['1c8a1e8e21e118d4', 'ac37a208ed2030a6', 'c7f0f87a38472823', '01e5b8b1904b4622', 'c47ae12f973280ee', 'd3591aba84464e08', '4a2501aeebe9962a', '01049871f9386ff4', '695c14900594d5fe', 'cb2838e643020f8a', 'f5e853419c79ba74', 'deb89227ca60cfe1', '5df015e02121ad14', '7f1b737c232c590c', '5a44d73ad482396b', '43a4ab866292cf81']; context = [[51, 114], [8, 82], [1, 84], [140, 216], [62, 130], [1, 54], [37, 117], [3, 76], [114, 159], [15, 77], [2, 71], [99, 167], [1, 68], [44, 114], [127, 184], [176, 225]]; loss = 0.011156 low_pass_filter = 0.300
+Epoch 0: | | 34529/? [6:31:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 34530; scene = ['2cf0d10ee85e7610', 'f320770af3c253ac', 'd2eed88e19cfd9ca', '53dd78c4ec2ce869', '8fb02cdfce330637', 'cb95cf9b7735cf11', '85abdea85f9965c7', '68a409152fc28a55', 'd0e60247bcdb97b2', '2e9292655d0d4dd5', '44ded41b9cf45aa9', '3b66d0bc7c21a606', 'a911a110601a4ca5', '6ab57cd9157e6a56', '01321cb2acbc1789', '9e15e6abde58ecd0']; context = [[150, 201], [11, 79], [11, 71], [28, 85], [46, 107], [80, 128], [0, 69], [97, 143], [7, 70], [51, 125], [0, 81], [8, 71], [89, 164], [34, 90], [5, 83], [5, 69]]; loss = 0.013064 low_pass_filter = 0.300
+Epoch 0: | | 34539/? [6:31:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 34540; scene = ['a09faa0838bbc204', 'c1440b721583301b', '92ea8cb5f28d80d9', 'db055fee570cf6f3', 'a0fa5b9c6505db2e', '309042ec8c6f37c4', '87b0a7452f438a54', '202ff0e0f9efa848', 'e73470c1138defe5', '67f4d95b24735dbe', '5343d2fd1ac864f8', 'e779a9ee81f81494', 'f542fb988f4db656', 'e12b43af55ed97a8', '2ad7b1453cf18a65', 'f5c8d1e28d1755ee']; context = [[3, 58], [70, 153], [4, 81], [68, 140], [0, 78], [108, 177], [4, 58], [113, 188], [2, 63], [21, 69], [38, 88], [0, 82], [10, 53], [84, 146], [1, 44], [23, 87]]; loss = 0.010588 low_pass_filter = 0.300
+Epoch 0: | | 34549/? [6:31:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 34550; scene = ['231b021798b62c23', 'b6a96ac39415c7eb', '226569acae0ad65f', '68657e48548014c1', '7c492dbf0a2e0c05', '7a6106a2f6d489f6', 'df35aea10caff8b9', 'd73ac1e92d6afa48', 'bd7796c1a1f89789', 'e74ae258141bb639', '2609a3aebef8754c', '5bcaff024cc940a7', '7d84b08aa4859b2c', 'eeef009fa73f29c6', 'f699191b86f38a08', 'a1de15d31837b1df']; context = [[45, 92], [66, 148], [96, 168], [5, 71], [1, 45], [80, 157], [128, 206], [4, 53], [104, 184], [203, 247], [15, 88], [8, 80], [5, 85], [39, 99], [2, 75], [3, 49]]; loss = 0.009606 low_pass_filter = 0.300
+Epoch 0: | | 34559/? [6:31:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 34560; scene = ['ba00c4e1f8ac58b8', '067a04bebdcba8e5', '74158d4151f8db38', 'f8d4d509f7a298f9', '3ce0fba2c29095e1', '51f747ae14bb6624', 'defc305c0789a4ae', '308f361c51a894d1', 'b34bb345758860c9', '980309aadec30d17', 'eb70d13262cb7a89', '9fdbc9cafad2c45d', 'f8f6815b4603e249', '2f26c0137ec43a4d', 'e87d9633b850b7fc', '28d829a36cdbd510']; context = [[12, 82], [8, 66], [9, 85], [28, 91], [20, 68], [7, 63], [18, 64], [52, 109], [0, 48], [20, 93], [5, 65], [137, 180], [1, 72], [14, 88], [0, 81], [0, 67]]; loss = 0.013424 low_pass_filter = 0.300
+Epoch 0: | | 34569/? [6:32:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 34570; scene = ['855c09afe59dfa4d', '073556c6f86adb40', '88083e09dcd71e86', 'b6b2f105982f9a00', '76591f97fbcabbfe', '7036714988a42b40', 'b3565cc29d609e00', '12c4bf5b80f0ff46', 'ed9856a72ec8a92f', '4ea7a2331c46c572', '8539028ddcf147af', '6a9afe3c40c97c88', 'df78124596454938', '9497d60823d53c30', 'cc36592f7efd1256', 'b39fb5a378831f09']; context = [[44, 123], [0, 44], [33, 109], [15, 72], [14, 75], [13, 83], [18, 91], [195, 266], [60, 117], [9, 76], [106, 166], [39, 114], [77, 120], [1, 48], [8, 68], [11, 94]]; loss = 0.008541 low_pass_filter = 0.300
+Epoch 0: | | 34579/? [6:32:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 34580; scene = ['e7d4009259e5cdc4', '1f30743a571709fe', '08435fff1c2ec4d8', 'a2943efa8ad785fe', 'c375ecb71ca086ef', '3bc2b7c5b2244a9f', '1a3bff76c4749487', '9a73b99bc19ffd65', 'a33a602a48346816', '920891e5bfb74f6a', 'e28ac2de4b57c0fd', '581d57e13e40094d', '2d6d43d47da3ded3', 'd7c0ebc89793e158', 'b428645647d53e65', '7a495a81c692dca7']; context = [[45, 117], [97, 158], [197, 278], [23, 66], [0, 81], [13, 59], [7, 53], [22, 88], [9, 59], [8, 84], [8, 86], [1, 80], [51, 96], [37, 100], [46, 119], [28, 102]]; loss = 0.010259 low_pass_filter = 0.300
+Epoch 0: | | 34589/? [6:32:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 34590; scene = ['309cc5b6851a98d2', 'f63080f9016deff0', '311590a1d4eb0250', 'f0a4dbea41f2d807', '38e8301a4405eca6', 'cc8e19c8ad1846f4', '18142d2a72ad8925', 'db1f52253a43d24a', '4ab0fc22f4d9bd6b', 'de1f080af877df76', 'b88f894e76cd5f18', '6093fe2362714108', '992f739dba95f93a', 'e1e317857deb7afc', '631fadaea18e58bb', '675f6247a673b21a']; context = [[44, 117], [203, 273], [90, 147], [160, 233], [7, 63], [60, 140], [18, 76], [18, 72], [0, 50], [89, 158], [65, 109], [25, 79], [4, 52], [99, 178], [5, 63], [156, 202]]; loss = 0.010621 low_pass_filter = 0.300
+Epoch 0: | | 34599/? [6:32:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 34600; scene = ['2fdf1a58e1920cf8', '780c668f832099f5', '36020c6c8008b3b5', 'da6ab468a5630616', '2517e14bc498b4f8', 'cf96acfe14a34f96', '0284951ff54ee710', '609d6205bab3f9de', 'd4cc5c4887f72d3e', '52a2be44c9847115', '4eeece700a2f060d', '52983a3110a185fe', 'cb504ee449bf24de', '7db8c4965bba509a', '486ebc90daa9ee9e', 'b89c23fa87a9a65d']; context = [[110, 174], [6, 69], [23, 96], [1, 44], [0, 83], [40, 110], [5, 81], [29, 96], [87, 155], [65, 131], [16, 62], [41, 100], [29, 93], [0, 79], [11, 57], [77, 156]]; loss = 0.011344 low_pass_filter = 0.300
+Epoch 0: | | 34609/? [6:32:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 34610; scene = ['71ffdab54dd4d5a6', '09ab565950cc3b2e', '2809cd543b89ce6c', '4dace0a9778018eb', '5523e72be12eaf78', '297dc136d19e7ace', 'c736f11c968c7121', 'f563ae2c67ee8192', 'f46cd6716555abab', 'aa6baa58fe0e6823', '9954d8448441bae6', 'd5325aebc6be807e', 'd9cdc72f6ece8b25', 'd950e7899ea3c6b5', '5b6461227829a452', 'ab4998d89b2a8d5f']; context = [[5, 81], [8, 91], [1, 48], [9, 69], [13, 61], [44, 100], [17, 83], [20, 98], [93, 171], [44, 124], [21, 70], [75, 157], [94, 146], [1, 69], [2, 54], [147, 201]]; loss = 0.007627 low_pass_filter = 0.300
+Epoch 0: | | 34619/? [6:32:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 34620; scene = ['e63a00e8eea0af4d', 'a230e0de2c7e6bcb', 'dc045f980be4ef22', '62fb64631e202247', '505f84dee49114ed', '0f2d47fb28cbc808', 'aaa5735e7eecae48', '4a9973d7005d3fca', '42cb1d6d9caae5d8', '97a5b7691a70c955', 'e45c98837dae8246', '17967e4f66c09b0b', 'd73f44859940e79a', '88af5684bdc239d0', '1f44e8ba6f9ec746', '6564e787f68e8472']; context = [[5, 52], [35, 118], [133, 184], [0, 48], [48, 125], [59, 114], [18, 92], [0, 66], [14, 67], [5, 81], [121, 181], [29, 104], [21, 73], [157, 220], [119, 166], [55, 122]]; loss = 0.008408 low_pass_filter = 0.300
+Epoch 0: | | 34629/? [6:32:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 34630; scene = ['a92f224409e7c548', 'e829e2f10cc26843', '8399ffab2ef259e6', 'a7febe0745056a8d', 'd7ec76b4ef960ff4', '1a9fd6edb8506ad3', '01c9eb355dca4a73', '727229bd7a427966', '5e4ac2c13ad0dad4', 'f548180c554e2c94', '537fbc9d624c6a7f', '16d6e67e8993f797', 'e9916ce512982a66', 'd616c509aab55a69', 'e2c8167e5f23e382', '07cb8141561cae19']; context = [[55, 113], [30, 105], [5, 56], [83, 137], [5, 70], [158, 242], [127, 170], [2, 55], [4, 60], [21, 73], [3, 49], [18, 98], [0, 82], [13, 67], [43, 110], [38, 113]]; loss = 0.011984 low_pass_filter = 0.300
+Epoch 0: | | 34639/? [6:32:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 34640; scene = ['b2ccc67dc6c32002', '47608d00f89f6b00', '7c1434aba45e0e87', '99d75f5941fcd59c', '1a7bbd0bd3e7c3cc', 'a30cd3bcc7d000ff', '383986de290ee3a3', '50717215135b0a15', '6a0f9bf1977e6af3', '4f7038c3257a081b', 'e6db09df52382c40', '2d38cbb82e3fb1d3', '3de78a7d8061257e', 'bf2160e6311b9f9f', 'f7c60ce5a286c245', '511a709b7ffba3bf']; context = [[2, 49], [40, 92], [11, 65], [48, 99], [40, 98], [35, 88], [67, 112], [7, 81], [8, 73], [123, 169], [92, 175], [29, 108], [11, 64], [71, 121], [6, 51], [27, 91]]; loss = 0.011926 low_pass_filter = 0.300
+Epoch 0: | | 34649/? [6:32:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 34650; scene = ['bc137dc3e2ae2936', 'f3d9d961e7865bb2', 'ef5a917e58c55120', 'f26569d1f35138a3', '331af5a6f01ab41e', '72d1db88ce59f38d', '9e49f784fedb1794', 'bacc1bc08ba62c1b', '05cb5b63a8748a55', 'b0f843159172af39', 'a2b336d7b3ffbbef', '29deaf4adf22997a', 'ad48bd771da942e6', '2426a3b6e9584e27', '345430fd1625beac', '890f98089816e21d']; context = [[81, 125], [65, 115], [59, 135], [32, 78], [2, 52], [0, 46], [99, 181], [22, 70], [23, 66], [137, 198], [15, 70], [161, 212], [89, 141], [6, 73], [9, 82], [5, 67]]; loss = 0.009055 low_pass_filter = 0.300
+Epoch 0: | | 34659/? [6:33:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 34660; scene = ['17af71bd035c4f28', '27ec00bdc19a15e1', '88c699e2a02f443f', '4a298cfbc4fd5674', '11e172e433f7e055', '12945d32f3aa263a', '8de0ff88075b6afe', 'a3dcd56be6efe531', 'f4a60efb78719207', '177e31b9d7d375e8', '6918fe55c041fda0', 'f363288bb396d983', 'd12825d81e12ccc8', '874eb6a356e8b92c', '2ea6acc7bbabe341', '14cdc4b3f38acf3f']; context = [[50, 129], [69, 151], [6, 73], [81, 166], [4, 86], [18, 83], [15, 100], [16, 62], [77, 148], [3, 51], [28, 95], [174, 245], [73, 122], [51, 109], [9, 62], [1, 69]]; loss = 0.011370 low_pass_filter = 0.300
+Epoch 0: | | 34669/? [6:33:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 34670; scene = ['4816a2fde0c7ed8d', '664395507ed8210a', '07fd65b47bee9efa', '78cd9f9ff661ae79', '63e1901d4e20ddf2', '2373149495b9255b', '5563e48230d4d2db', '8c0113b9faa62237', 'fdd8371c6a869316', '8c311b5fcd83141e', '1f2afa101143e0f4', 'd7e442f09280976a', 'a0fa5b9c6505db2e', 'e73470c1138defe5', 'f542fb988f4db656', 'a09faa0838bbc204']; context = [[0, 54], [9, 80], [13, 78], [12, 60], [27, 108], [13, 72], [46, 100], [6, 52], [66, 147], [1, 44], [42, 91], [77, 144], [5, 80], [0, 66], [1, 54], [12, 78]]; loss = 0.009555 low_pass_filter = 0.300
+Epoch 0: | | 34679/? [6:33:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 34680; scene = ['4b1409aed425c619', 'f89505d66a282673', '6ba526a5287fd9bc', '581461d8b3991cc8', '0cde2ea2863d331a', '139dd6dc64abdf0d', 'e8128c97ff255dce', '4e22006021f75435', '60c933163b1dd066', 'd58a26d24f2776b2', '56dc189334276835', '4c642d93d29351f3', '8618897f9ed81371', '95149921755fb6a2', '09a24125f9b9fba1', '426b692c6b822861']; context = [[9, 88], [28, 76], [124, 192], [5, 83], [7, 52], [10, 94], [24, 97], [42, 85], [54, 122], [70, 149], [14, 72], [1, 47], [3, 72], [37, 92], [53, 132], [6, 76]]; loss = 0.011120 low_pass_filter = 0.300
+Epoch 0: | | 34689/? [6:33:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 34690; scene = ['fdb40b75798904aa', '29f5147ddbc77545', '2bafae5dc8516379', '7794424c1a5ebb35', '48fb1a0fe481d1b9', '56e65ff08a3eae6f', '8871964bbb2acd34', '4cfb4accd37fa01c', '601834a050761ae2', '424d637b6cc26ae1', '84e3aebc8cf7728a', '5db02c873a072b8e', '628aef9f0530a52b', 'ea35751c4ee60f5c', 'b766fb72e5b5daea', 'e29d926fd50d759b']; context = [[13, 78], [31, 82], [89, 158], [15, 60], [105, 177], [39, 115], [9, 69], [15, 78], [42, 123], [20, 80], [86, 137], [27, 72], [10, 79], [8, 74], [16, 89], [0, 59]]; loss = 0.009243 low_pass_filter = 0.300
+Epoch 0: | | 34699/? [6:33:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 34700; scene = ['c5a85f680c4f9c9c', '6cbbe9075b0d2138', '1e56c6d50221c84b', 'fb7776636c2a50b5', '92bc1a5a284f9e88', '06a16655c8e8ad9c', '186b6487fea252ab', 'a9936b77895f33b3', '5c04f350d4f1ce76', '89537268739ba071', '41dd55f0272aba33', '962ca8cb6c781141', 'a102f80bd807b881', 'bbd13ab6dbffa8e3', 'c7e626a8c3d071e2', '2502f2ed6eaa9583']; context = [[17, 89], [110, 192], [17, 95], [8, 52], [68, 134], [206, 267], [40, 122], [0, 46], [57, 127], [185, 228], [10, 70], [3, 71], [17, 94], [44, 96], [88, 166], [13, 76]]; loss = 0.010281 low_pass_filter = 0.300
+Epoch 0: | | 34709/? [6:33:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 34710; scene = ['903efe5f8a8e932b', '4b34e4a22e4a08ab', '8c4959742a47d9a1', '706210d8cd04e8f5', '559322faba1bc893', '84b2e0a015504fbc', '222acb29d1b3c2aa', '7326aa4935d38c48', '977eb4604758bcd7', '6149aade1b7de1c8', '977e456b8e36321a', '0bb14b8b474c9eba', '9749a18e36b8b4ca', 'ac56fc9d958777ec', '6d1a7f2061758a7f', 'db9435d8cfadb24e']; context = [[9, 83], [31, 102], [46, 91], [6, 55], [22, 68], [13, 90], [8, 64], [40, 108], [75, 132], [20, 97], [178, 239], [79, 134], [61, 113], [12, 64], [56, 120], [31, 83]]; loss = 0.009994 low_pass_filter = 0.300
+Epoch 0: | | 34719/? [6:33:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 34720; scene = ['9de327a8579e464f', '9d7027346728bebf', 'f2b680eb41354655', '3ce96ec09557434f', 'e41ab6a252e57d0c', '45a6c95be2ac580b', '29abe79174e04768', 'f990f04ead348fe0', '44cbbd7418d66552', '1ec4e8dc19eebef7', 'e5056d1efbf95610', 'b5e452fd635696a5', '6e87dece9971c8be', 'ebbd8c36a1a8d3c2', 'bac0bfd73b8c9335', '07e6f68d194480bc']; context = [[1, 55], [14, 90], [13, 91], [104, 177], [8, 93], [15, 90], [114, 169], [128, 197], [197, 263], [20, 75], [204, 267], [39, 87], [28, 100], [3, 48], [0, 44], [1, 55]]; loss = 0.009476 low_pass_filter = 0.300
+Epoch 0: | | 34729/? [6:33:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 34730; scene = ['ea6fc6e392e8f26e', '21578064c339c6f8', 'c72af13bb4dc1b96', '4e4547cb06d31609', '554c3a05bdd75ba6', 'd05a0ee5ba0c25af', '4eb0fb91ffe321e2', '1a261269ffa7e3dc', '43e26dd033c3ed78', 'f07b2f30f82c54da', '5f93a3611386fa2c', 'da1de03a9c3c0543', '19b4c5943e9f530e', 'd5684fa2b111efe4', 'c0955bccede2208c', '47a6a231c819c5a2']; context = [[54, 98], [6, 59], [7, 65], [1, 61], [71, 124], [22, 67], [18, 71], [32, 110], [17, 97], [51, 115], [27, 110], [3, 54], [1, 45], [33, 109], [5, 63], [180, 226]]; loss = 0.008840 low_pass_filter = 0.300
+Epoch 0: | | 34739/? [6:33:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 34740; scene = ['d96555a883c4685b', '820f797585813215', '85011721006086c5', '9044f156e5b0eff2', 'c67d163bb0a1e8dc', 'c1a6ef665d46399b', '9183740bb8b7200c', '318adcd55b71389b', 'a600bc71cd595f32', '9b5a0140c194ead4', '637bdb45beb6fb5a', 'f4ba6d204cb14df7', '95060b5812ce1211', '725fac3f3405f504', '43ffd13c1c002f54', '16d832ffbb1e7932']; context = [[192, 259], [5, 74], [68, 138], [20, 97], [8, 78], [215, 267], [9, 86], [49, 127], [161, 227], [45, 122], [46, 108], [57, 111], [2, 50], [16, 88], [7, 60], [13, 95]]; loss = 0.012056 low_pass_filter = 0.300
+Epoch 0: | | 34749/? [6:34:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 34750; scene = ['864a669c9e7a8458', 'ecd64b7c5f331ce6', '583e3ec452e3c93a', '9c343055e0d41a1f', '5647e5411224ac8c', '63df70e95bb89acf', '45c17dbd2ce88e1e', 'baed470fafab7020', 'f802f93da5bf1e00', '3296008fa5dc7b02', '21a5ec615b500bee', '83222e191a9467b0', 'd39bcb1fee36c69e', '2bec6e124cd3ebe0', '9dda63b4544559e9', '338d0fb7e58dd4a3']; context = [[45, 129], [18, 94], [124, 183], [58, 141], [24, 77], [8, 85], [178, 255], [148, 226], [35, 89], [3, 64], [26, 74], [85, 163], [6, 82], [175, 233], [1, 54], [14, 62]]; loss = 0.011798 low_pass_filter = 0.300
+Epoch 0: | | 34759/? [6:34:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 34760; scene = ['a530c8b4fa89b84e', 'c46f3f1ddfd8533a', 'debd6aa3bae1d248', '356ba7e96c3d9426', '5692ffde04b99f08', 'ef5c5a590e9d175d', '21a59c087d54a3d5', 'ad53a9b83fed259a', '242d6d1663e92775', 'e3ecb6ac54e97dcd', 'd90d8c4438b9c661', '3a6ee557219c7bac', '63748a57acd90980', 'a444a7437f926143', 'be0162a8cda21f9b', '5fcb79cdf2edd14d']; context = [[37, 104], [36, 97], [123, 183], [78, 150], [2, 53], [78, 135], [2, 47], [3, 68], [49, 115], [73, 141], [16, 100], [20, 71], [48, 132], [14, 59], [59, 125], [45, 104]]; loss = 0.009575 low_pass_filter = 0.300
+Epoch 0: | | 34769/? [6:34:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 34770; scene = ['359f5288f9335f3c', '33a7ac7a336c62ac', 'a64bc1a231c44593', '98fb604e2b221457', 'b4552394fff24c7b', 'fea578cc66e55e82', 'd5dba29fb7878ed2', 'b2d4b9ea541e9f37', '1cec8c9926ac8fd1', '3a2d10fe0a31c3ef', '86c67555e3f5eeac', '205d8b2ecf1e49ae', 'ada7454dfee40e08', 'cd566c3639e9892f', 'a6f6c23f072878f8', '977cd2725f6a4297']; context = [[12, 67], [7, 76], [14, 72], [1, 48], [21, 77], [65, 136], [190, 274], [118, 194], [1, 45], [122, 171], [47, 93], [38, 96], [0, 46], [72, 145], [15, 76], [28, 86]]; loss = 0.013326 low_pass_filter = 0.300
+Epoch 0: | | 34779/? [6:34:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 34780; scene = ['3cef7244ef6f7a17', '1c3d7dde3614506d', '65a46d20af8eb33d', '3d7564005d3deb83', '65e77aed6557394c', 'f370e2b606fbfca9', '56bef3bda335b7fe', 'ca85fd3a928e9b3b', '3da81d175b38988f', 'bc053a53376b6547', '67c392fa9c39f4a9', '415cb62a94b77e59', '41b821e9ebec0774', '7a1fc9f2f6a4db3b', '17234337105b4fab', 'e56a6d31db649cb9']; context = [[29, 95], [1, 55], [2, 66], [29, 84], [175, 218], [111, 191], [22, 93], [22, 97], [45, 126], [2, 49], [37, 116], [112, 169], [17, 99], [161, 245], [1, 82], [21, 100]]; loss = 0.013022 low_pass_filter = 0.300
+Epoch 0: | | 34789/? [6:34:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 34790; scene = ['2a79a8bd4edfdbeb', 'c1c0bf21704f2537', '9733a5e8b87112f8', 'd252bee31ece5667', '7e590944b3d09a44', '1b4dfb04c00df170', 'f8490421029f85c1', '858e46647610ba9a', '714d84e0be7d7dfb', 'f6be586b3b35382f', '3576553305e59d4c', '5e66f54d9b99573b', '5bef2ef0dcfab16b', 'e43d5ec97a28d779', '38f4d6848424acfc', '42b690cce34c81c6']; context = [[1, 49], [149, 201], [81, 135], [21, 82], [49, 114], [8, 67], [10, 92], [44, 127], [86, 162], [49, 124], [35, 96], [74, 144], [77, 134], [10, 81], [13, 67], [17, 64]]; loss = 0.011071 low_pass_filter = 0.300
+Epoch 0: | | 34799/? [6:34:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 34800; scene = ['04f105ada75a23a5', '2844cf44f8918214', '54dd72dab33e9306', 'e7fad36853161638', 'ba2c45a46d24a73e', '3cfeac5e37c2dd0b', '3849372892bb6536', '99f9f5508b34b909', 'abc03ad39b4cab48', '45cf7b4826be3134', 'ae86930f92675dca', '80851bab9af75349', 'e4854b3832ac68df', '3bf83c412718628a', '39afae4eeb04a70d', 'ca80b6da89913682']; context = [[29, 106], [3, 81], [14, 98], [162, 221], [53, 106], [62, 126], [5, 51], [75, 123], [58, 128], [82, 136], [89, 151], [65, 130], [72, 134], [4, 84], [49, 131], [3, 71]]; loss = 0.009241 low_pass_filter = 0.300
+Epoch 0: | | 34809/? [6:34:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 34810; scene = ['3e5688e17a5759f9', '3eb8a02384c27dc0', '18e413f9fb62451a', '5e1100d15bbf3576', '3959b49f7927b8bf', '4f1d842a3b3d0c2b', 'f5b66aa71f238b4b', 'd71f5355a475d8d6', 'b2b8d983b8d69312', 'ed1dead6fd873d49', 'f999c476a508cb6f', '9f882725c0081cc6', '61e23254619bafbd', 'cfa3baf6b753c939', 'cd8eef5537c3d725', 'e5eb77544f613cb9']; context = [[1, 58], [30, 98], [28, 85], [3, 71], [13, 76], [80, 126], [1, 82], [8, 92], [39, 84], [7, 89], [6, 74], [26, 77], [6, 91], [54, 98], [22, 67], [16, 61]]; loss = 0.008942 low_pass_filter = 0.300
+Epoch 0: | | 34819/? [6:34:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 34820; scene = ['ec94c6fff965a9f9', 'ca88e751361b34fa', '2c78821e19bd4ab6', '9ba631ec8a1568d2', '26a1ed10d188800a', 'b766fb72e5b5daea', '27ad0b1abbb2c06e', '035ba49c8074f0d4', '0e0a0ac08ac3e1e0', '78162a0cd3f50a08', '3791465d0f3b7764', '097049e07065fe6d', '7227ea629f2cc6c9', '4d433c9ba3cb7c33', '324638d0f0947345', '0535a1c8f3ff090a']; context = [[40, 87], [0, 50], [8, 89], [31, 83], [20, 95], [7, 84], [57, 131], [11, 89], [20, 90], [8, 54], [43, 90], [33, 76], [49, 122], [9, 69], [116, 177], [51, 100]]; loss = 0.011841 low_pass_filter = 0.300
+Epoch 0: | | 34829/? [6:34:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 34830; scene = ['edfedbf216dffdf3', '9b318860f17dd778', '8a307fdfce4832bf', 'ec1e22ee6784191a', '889363eed9b13277', 'd3faa50b5e4fbd6e', 'bd7b99bedcc90f02', '87b3478ab859b1c8', '5f6ff1f6eeba6fcc', '8096be2fbf236584', 'bc060d48a36d78e0', 'f1868b9a35ac85cb', 'cf3fa6c4bacc2e97', '11da16bd945c4985', '954d57d0d07c04fe', 'ea993320b24455cc']; context = [[0, 51], [83, 146], [151, 200], [76, 144], [57, 121], [22, 71], [9, 63], [18, 72], [8, 90], [29, 79], [13, 72], [63, 142], [18, 65], [98, 162], [98, 173], [25, 81]]; loss = 0.011147 low_pass_filter = 0.300
+Epoch 0: | | 34839/? [6:35:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 34840; scene = ['a96dae5ebf33ffe7', '391ef19154930976', 'ad613190a2fe993c', 'e15e6816a91d8735', '842f5177f9c7fa10', 'dbee8d73e5732008', 'c6d63a923255da1a', 'b30badb6fa628bcc', '44a10d88c58f6466', '95d8bc250047b07b', '3713795ff05b5532', '394d15aa7eded273', '6dadf9aab8856f9e', 'da6ce6f2020a638f', 'c5eca49edc45848c', 'f6dbfe4fe0048dc4']; context = [[24, 69], [0, 50], [46, 92], [28, 81], [18, 70], [45, 120], [177, 254], [54, 114], [176, 258], [72, 153], [17, 101], [51, 101], [30, 102], [0, 79], [29, 81], [15, 98]]; loss = 0.009384 low_pass_filter = 0.300
+Epoch 0: | | 34849/? [6:35:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 34850; scene = ['ebcf36a61df147da', 'b09d37e33a1fd1a3', '01bfb80e5b8fe757', '04d9e5ab7cd01669', 'dc388353f79426fd', '6fcf5dee2bf0c397', '0473e41b4ea751fb', '340fae9dee95db45', '4f71b7b1fe7b4622', 'c6d2893eaa53957e', '58860911781d94f6', 'c5faa3aabee36f71', 'c97f1c4911931200', '9931b92949a74875', '734b4d41bd350875', '47ac3ca0d635f78d']; context = [[24, 104], [7, 67], [109, 179], [60, 140], [160, 208], [73, 139], [1, 69], [42, 114], [23, 67], [106, 159], [0, 64], [14, 62], [55, 121], [46, 127], [46, 104], [3, 56]]; loss = 0.009195 low_pass_filter = 0.300
+Epoch 0: | | 34859/? [6:35:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 34860; scene = ['f80c7ae3e8c135d0', '9585609b1fe86052', 'a851d4797973dd8b', 'b4869cc97b14612c', 'f053d50764ded3de', '5cd649d23647e9a8', '212d150054874c3e', 'ce265bd6aca906a0', 'a8e9ca9fab2a02e5', 'ae58510a79871955', '592ade6974acfdb8', 'ea39ad8b69cc5787', 'c9154135faca16c1', '9e16e2db38feb337', '618c5651f735369b', '3eb6b3f90098d44e']; context = [[41, 99], [5, 74], [106, 171], [86, 146], [57, 130], [65, 144], [105, 177], [3, 72], [32, 111], [50, 116], [29, 107], [31, 115], [0, 75], [38, 95], [2, 47], [62, 141]]; loss = 0.012816 low_pass_filter = 0.300
+Epoch 0: | | 34869/? [6:35:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 34870; scene = ['03a4047c49065b31', '0691f3bd7ba0973d', 'bca61f1e9542ea69', 'e44b59a699ffcce2', 'd63160ea8db69f94', '4e70f8c8d569f01b', '4a13cfcfbfbf8887', '527eac78ac3e3012', 'de60b52ac3e7875c', 'd2025fb25b1b8d42', 'fbfbcba06045cc1e', '47d2189b091c3cbe', '39bfa783bf8eb056', '53b2d43b7f2a6077', 'edb02105a535094e', '56ffb64f1ac704c8']; context = [[52, 123], [34, 80], [50, 109], [21, 82], [8, 89], [113, 193], [0, 64], [19, 68], [7, 80], [7, 53], [116, 187], [171, 248], [0, 80], [153, 220], [1, 55], [115, 190]]; loss = 0.011526 low_pass_filter = 0.300
+Epoch 0: | | 34879/? [6:35:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 34880; scene = ['95c2ed222a35164a', 'f758f5285c4469d3', 'dd37bc253584d2c9', '14df1ec6e1403a7a', 'c6a54abbbfcc80c9', '1ba4449084852089', 'c27a6176daa8f0ff', 'a62a2b5b73c17bbd', '1f3df1c74f58790e', '3f439ee888325de4', 'cfc4dc915b4de82f', '97efb1c9d012a89a', '206c406cbb54c9d6', 'b16abc4d67655cb5', '714c3dc97fac769a', 'a5755fb377071cda']; context = [[72, 145], [60, 139], [24, 102], [10, 93], [20, 75], [48, 115], [33, 116], [2, 87], [51, 128], [119, 194], [148, 199], [116, 163], [3, 76], [19, 69], [24, 75], [53, 132]]; loss = 0.012303 low_pass_filter = 0.300
+Epoch 0: | | 34889/? [6:35:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 34890; scene = ['2d9d2b3d1a7fb3ed', '9e1fe1ef4c790152', '1f268c1c41e9163b', 'c579294a2271154e', '3b807d242f762c84', '4bbe383499f58733', '1c309c469ae5fdd4', 'a0771ce83b8273d7', '0c2de6c5be346d3a', 'd8dcea739eefd288', 'a5b5597f4927d94a', '9782a6bef3692f75', '1218972a2e7215e3', 'df98797933696d32', 'e67a6379398c3e3d', 'a73f18310fca46ee']; context = [[44, 99], [7, 55], [6, 62], [45, 97], [102, 147], [0, 52], [2, 60], [20, 93], [4, 82], [4, 84], [73, 155], [24, 101], [2, 62], [11, 94], [49, 110], [31, 86]]; loss = 0.009184 low_pass_filter = 0.300
+Epoch 0: | | 34899/? [6:35:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 34900; scene = ['eb210a3e80d6a0b1', 'c75420132c9168b5', '8110578b15c47f1f', '46e26d9e4f7a217a', 'fc4e355ff4418069', 'b6c3a53e03353aba', '1734517f6cc0f334', 'e891a88b9cc99871', '80d8eb571ab489c6', '2e111256e7da734d', '9c811e21f2a4e8bb', '3b8769e2eaa2a6ed', '7942468c0da54a11', 'dbc435f8266c0eb2', '5ec066485ed9eb74', 'd4865b6f9f2b3ebf']; context = [[169, 238], [20, 70], [2, 63], [185, 268], [48, 93], [14, 59], [6, 68], [1, 45], [4, 83], [89, 163], [51, 106], [57, 101], [9, 67], [53, 132], [5, 49], [12, 92]]; loss = 0.014375 low_pass_filter = 0.300
+Epoch 0: | | 34909/? [6:35:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 34910; scene = ['95a6fae4dbeb6546', '52079a38d11843c2', 'bb8a1e105ddf619e', 'c16752b5a01dec29', 'f4f0f0d4a554cfee', '3647ff5e90d6af43', '264e8509690b1ea2', '5e6e341001a8b693', '3e29b2bd42f47e28', '1d4fd7ebd76ae5c8', '954740f1e0accd65', 'c0ac407355970e00', '76fbf387304b28f9', 'd82ee5a0e75594a2', 'f2af153a34cd6c91', 'a3e5e6b0475c232d']; context = [[23, 86], [11, 96], [21, 83], [111, 185], [47, 105], [16, 61], [115, 172], [71, 117], [27, 72], [31, 95], [120, 183], [114, 178], [45, 93], [0, 53], [3, 77], [3, 76]]; loss = 0.007511 low_pass_filter = 0.300
+Epoch 0: | | 34919/? [6:35:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 34920; scene = ['967cabcdfbc3fb8e', '118c3c91d5820b5f', '7b1af6e7757d0877', '8a7fd47216cdb74b', '5e12f5864963b028', '62021cc0588d32cc', '885bb71067dd494a', '89955bb7df1571aa', '69dd80a600fb233f', '7f3e50dbc8f2d1e3', 'c1e8947897534f8e', '97ae84592e0a6efb', '8e026ade60f13e40', '9dfcd20a3d14d93a', 'f124c51972669c63', '6b19c6dd823a7cd4']; context = [[102, 178], [14, 88], [180, 249], [38, 119], [134, 216], [3, 74], [90, 153], [81, 141], [13, 71], [49, 122], [14, 63], [2, 51], [48, 98], [9, 55], [6, 68], [52, 132]]; loss = 0.016378 low_pass_filter = 0.300
+Epoch 0: | | 34929/? [6:36:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 34930; scene = ['e63caff82406317d', 'e60d3c2cbe8722dd', 'f585524ad6786b54', '8722a564706e204b', 'fee2852411318e54', '483061ce00126c3e', '9bd08fc9288bef8b', 'ef349fb3fcdad196', 'f1dab83bdccd9a64', '0cd41e6e6139e778', '3bf8bfb9bc7f89b0', 'eb5972716aff7e46', '7c8fa52ca0fba7cf', '1ad9f607c3524332', '53994168d1abe156', 'f949e83df942d2b9']; context = [[2, 76], [2, 75], [21, 96], [11, 88], [5, 48], [15, 76], [143, 219], [24, 90], [200, 277], [3, 52], [39, 91], [52, 125], [8, 65], [59, 125], [19, 93], [184, 258]]; loss = 0.014242 low_pass_filter = 0.300
+Epoch 0: | | 34939/? [6:36:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 34940; scene = ['aa9501b0fe74e3e2', '03ea09bf65357e60', '5d3adfd63b17163f', '3d9d33cc3bedad51', '9a32a8daa43d59dc', '27f95438492b1f5d', '1db541021f08c569', '16ad60739d062c0d', 'ce8ce7205c395b97', 'd2df2ab53964add5', '1b200ddb0e8760fd', '56357aac9db0ea9b', 'e6e9173b2c02d467', 'ae6a7d632401e500', 'bb5c97f528f03991', '2b6776be63239f3a']; context = [[57, 110], [28, 95], [6, 83], [59, 108], [69, 115], [5, 64], [3, 73], [84, 160], [12, 93], [3, 61], [144, 219], [3, 62], [10, 56], [4, 53], [35, 79], [5, 70]]; loss = 0.017218 low_pass_filter = 0.300
+Epoch 0: | | 34949/? [6:36:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 34950; scene = ['b077b634286dbbe9', '53a8bb87641bd35b', '7dd4d8b4dc082dd4', 'fc4e64a966b2af97', '42a3daae34acb6d0', '819b6af73885034e', '33d44d22ca5117fd', 'b8e76ea0476fe482', 'd4f1e8b6c1597afd', '84bf41ca4a80090c', 'eebc10a8972de7ee', 'a071d9276f6a9272', 'c7cf9b63dc3e5830', 'ff4a1fdcceb11eac', '3703cfac805ce3d5', '0013a39f3a02b5c3']; context = [[5, 72], [123, 189], [11, 54], [55, 126], [20, 95], [18, 73], [1, 46], [1, 63], [157, 236], [3, 48], [4, 66], [18, 91], [9, 86], [3, 73], [142, 197], [4, 70]]; loss = 0.014437 low_pass_filter = 0.300
+Epoch 0: | | 34959/? [6:36:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 34960; scene = ['8ad3918394be8d98', '1643b6a11a819f37', '9fb3173ad654a32f', 'b4049b5f74fe2c1a', '3370b1a40953d7ca', '7c6a8caf90ddc0fc', 'faf8b5d86e8b83de', 'a421fa44be30ccf8', '6f8b2d73ed0da2f1', '57112bf6cf251fe1', '9a8fd1d3cf706b89', 'a5f3bc6da5870232', '916ba32c24c8014f', 'b3ccb1e1003fcb6d', 'd8f23d503b820e53', '02a840608387c7e1']; context = [[49, 102], [11, 66], [82, 125], [31, 99], [38, 104], [5, 69], [50, 98], [57, 114], [45, 92], [3, 53], [21, 104], [219, 269], [1, 68], [13, 85], [11, 68], [1, 53]]; loss = 0.009961 low_pass_filter = 0.300
+Epoch 0: | | 34969/? [6:36:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 34970; scene = ['50e49715ebce4977', 'ca50f6571f20806b', '585e0ef0b3795499', '9884d764bc2c32d2', '239fc42dfe56a16d', 'af498312266f75db', 'a5ab814fbd107975', 'f322a0951e62a512', '6bf3cb7da39daba7', 'd8f03a844bbdc082', '71a6b1c554f95507', '8c9abf848e6741e0', '294ea2c50396e74b', '8d19d941ce56a547', 'ff6efbfe221dd063', 'e46969010a61dadf']; context = [[14, 80], [56, 136], [4, 89], [77, 154], [23, 82], [38, 83], [1, 74], [71, 154], [30, 76], [20, 82], [8, 72], [100, 171], [198, 276], [165, 219], [43, 111], [3, 54]]; loss = 0.011124 low_pass_filter = 0.300
+Epoch 0: | | 34979/? [6:36:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 34980; scene = ['8b3d605d4d8ec3b0', '7d5033ecd2b2d52b', '061e2dfaf96677fb', '86c8c9b0a6200b4a', 'c9a41c071845a38a', 'e66e9d07a140e364', '7d70798a0178383e', '6bbc8e2718708902', '54dd2fecd7c5469f', '3650acf4e144d660', '75d7982a76052a50', 'cc095b6f7aaeff1f', '1ff50e90731cd85d', '501a6f4480ce533e', '23fdcf065cab001a', '5c6eb6a2caa8b53c']; context = [[32, 91], [135, 198], [10, 95], [1, 66], [48, 105], [0, 79], [37, 85], [0, 66], [10, 58], [139, 189], [3, 88], [8, 64], [58, 101], [14, 80], [10, 73], [16, 99]]; loss = 0.012316 low_pass_filter = 0.300
+Epoch 0: | | 34989/? [6:36:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 34990; scene = ['254617dad29dbe10', '92748703bb1b6d5d', '39cfdecdae47bb48', 'cfe0e900b8299510', 'baaf19326049c7ff', '59cf6afcba8c9ed8', '28b36d3b9c32caeb', '268e549ab4dc165e', '2daf6ff811d97465', '3d93e6532fdc52d9', '3ea936468e7f9304', 'f8d3ad05afe92b39', '8f85d318571f0d5a', 'f99052aa7f75d58b', '8af19f867088ad89', 'bb3f4b8c39aa0f9f']; context = [[10, 70], [31, 112], [34, 95], [142, 193], [133, 195], [2, 72], [181, 236], [13, 71], [121, 177], [14, 81], [1, 67], [14, 63], [1, 50], [119, 170], [32, 93], [51, 136]]; loss = 0.009897 low_pass_filter = 0.300
+Epoch 0: | | 34999/? [6:36:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 35000; scene = ['b8de8389db018d84', '14b0e690ebe93088', '4b4be093763b85cb', '7d4d472e5aa5f091', '8203666c5a38b777', 'aea8d49b7a88adcb', '4d1e82c0aafe241e', 'ef0d594a13585996', '9b17ad14b3f7ef4a', '0bffdf9852d6b17a', '299a59047ff48dbd', 'f6b299e4bb55dcef', '0c844f4fc43d10a1', 'b56a19d615f09aaf', '5d120972a05d6520', 'fb2fc136084bf16c']; context = [[43, 109], [95, 143], [29, 73], [9, 93], [10, 62], [34, 85], [46, 105], [47, 109], [2, 51], [2, 83], [10, 65], [6, 50], [54, 121], [132, 207], [6, 87], [51, 108]]; loss = 0.010653 low_pass_filter = 0.300
+Epoch 0: | | 35000/? [6:36:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0validation step 35000; scene = ['33baf3e18e5d7256']; context = [[103, 146]]
+Epoch 0: | | 35009/? [6:36:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 35010; scene = ['168efc21cebfe627', '15592e57716c6463', '1b0e42c4f8fbb88d', '0a91ba693acb65d5', 'ede486da04ebdc56', 'b7264c9330e22b41', '33071a63b419262f', '49ca0e41c7487452', '7f7438bbf4ad4571', 'e61c4e10dbb5f3ea', 'b56e105ab403fa24', 'd48f435e37cfc3a4', 'f5ecf8999498edeb', '9eee26334d6e7ce5', '7418f9d1559d7180', 'bef54ada81871b7a']; context = [[170, 227], [2, 47], [8, 52], [53, 109], [41, 88], [51, 122], [5, 64], [106, 173], [12, 76], [22, 94], [28, 102], [0, 79], [69, 116], [28, 113], [37, 116], [167, 228]]; loss = 0.008512 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 35019/? [6:37:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 35020; scene = ['42e4f2d3c3e0772f', '63331dbbbfe80f5f', 'd61b2ffb090ab82e', '352b202e22235f10', '2d6daea339faff88', 'e701cbe6c42dc34f', '68d25ae85d2f5cae', 'ac85da0c05c229e4', '738543a84b2b0667', 'd9fad8315e43622b', '20e704cf9128841e', '023327e82b73dedb', '48747285d6af5672', 'ec9c761f8603d26e', 'c5e778adb95578f3', 'b11740540edffef4']; context = [[185, 264], [3, 85], [79, 127], [22, 99], [120, 184], [6, 68], [52, 99], [23, 88], [1, 81], [34, 81], [32, 111], [79, 134], [0, 71], [16, 62], [0, 44], [0, 47]]; loss = 0.010269 low_pass_filter = 0.300
+Epoch 0: | | 35029/? [6:37:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 35030; scene = ['9bae213a2e0667da', '00210fcc783d3fcf', 'c0de137715b6bcb4', 'c2d56785690fef5c', '29afe36e4ba597f5', '1ccc8946d683d79c', '33bf51a57dd21baf', '97d48083a9c554ef', '18c880b4b5ef683e', '64d3c9bb65afc239', '8cfd52fbbac85c10', '547cc94768c46e62', '5a6823ae4e594da6', '5f28ea540c35ef3e', 'c142bfbee1ce24be', '5cd1e4ec30cd1bf9']; context = [[2, 77], [64, 134], [16, 69], [99, 183], [6, 55], [39, 122], [3, 81], [12, 55], [67, 129], [5, 62], [111, 156], [8, 74], [93, 155], [45, 129], [16, 68], [206, 255]]; loss = 0.012165 low_pass_filter = 0.300
+Epoch 0: | | 35039/? [6:37:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 35040; scene = ['1d7c980a281df899', '66180223abaebc13', '7353c2be5dcb6491', 'b2973f598a485220', 'b3842ad806d9a13f', 'f7766ab4365bd6fa', '1e7d7ef1404597f0', '71968459b3168e4f', 'eba9df5e18faae55', 'a03503eb22f64a17', 'f99bc992403196a2', '9167e2ac51454edb', 'fbc71f6f2c124f9d', '4f73d609ce0ec6ac', '152ed7a6a53d7871', '30e0602692bddfba']; context = [[3, 49], [4, 79], [30, 78], [1, 52], [3, 60], [158, 209], [68, 115], [39, 82], [57, 112], [11, 65], [14, 75], [48, 97], [4, 64], [140, 208], [190, 245], [227, 272]]; loss = 0.010701 low_pass_filter = 0.300
+Epoch 0: | | 35049/? [6:37:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 35050; scene = ['a08583bd9e090720', 'c8389b5be0487fb4', '01ac1debec3ecd61', '35e7e6ab55881149', '61fbb526c33626fc', '8c42a0b02e4b80e7', '4d9de907289bb1b6', 'da500b24da7a495b', '979583f22bb73aef', '90b3a044d5c4522e', '5205c4ab691fab79', '3ba287815c2fa8bd', '643a17e2e87792a1', '90e70b66a637f14d', '9bf893735e9b1ab8', 'de61efbee4c2b1cd']; context = [[35, 79], [46, 125], [23, 93], [0, 71], [181, 263], [91, 147], [6, 83], [0, 80], [158, 223], [43, 119], [29, 90], [6, 66], [24, 80], [104, 182], [33, 80], [69, 125]]; loss = 0.011849 low_pass_filter = 0.300
+Epoch 0: | | 35059/? [6:37:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 35060; scene = ['3b55d9ff7f824fb3', '71ffdab54dd4d5a6', '49f6c049c206ddd5', 'f7ef5bb99bf643a1', '749f35821374f0dc', 'e862c113880c0181', '9cb7e3454afb2e2e', '3db359985be722e1', '5d296026f13a69f7', '7ff88bf82048bfdf', '1c4b3333173c4c08', 'e72f15ce7766ca25', '2f6e8ec2b14bf552', '6abf8136b97c8097', 'd6397502b68b1550', '2eb2b641fdcd0536']; context = [[55, 127], [19, 80], [131, 201], [19, 89], [119, 164], [0, 45], [6, 57], [94, 143], [35, 116], [2, 50], [54, 120], [4, 48], [9, 58], [2, 53], [48, 96], [4, 77]]; loss = 0.010860 low_pass_filter = 0.300
+Epoch 0: | | 35069/? [6:37:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 35070; scene = ['6e136887073748b6', '9781be61f9af7b83', '9cd1ed50bfed811a', '2072690f45c56622', 'bd94c41ea09bef33', 'acecfa180eb09ab5', 'fc977ce61dc2c120', '4a7068c1937a5c6b', '1978dd338fe7af51', 'a2ce0f3c92be23d1', 'a84f8bc94d706976', '0e015372167a4e79', '00aa25d111d218cc', 'f87b3a9daaa34629', 'ae59cd17e5fe684f', 'f22824c5468fb8c3']; context = [[2, 86], [46, 129], [6, 57], [121, 187], [5, 61], [181, 257], [18, 74], [11, 62], [27, 78], [56, 125], [109, 159], [14, 72], [174, 234], [8, 55], [3, 48], [110, 172]]; loss = 0.011914 low_pass_filter = 0.300
+Epoch 0: | | 35079/? [6:37:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 35080; scene = ['664a0d29187fa61b', 'e6b5da607845c44f', 'ef767501ebc1cb8a', '0b4dda84eff7509b', '95683816b2782fc2', '8e9c5434edb7e43d', '9bddf9777577b540', '56b0e5cd58300dc0', '4d08f6508693b522', '356f8e682d74a0b7', '3a64dab609df8d4f', 'd0bb62a1775b5dab', '2c46c889a72102d4', 'd87d256563a679ea', 'f4077924d862e6d9', '76aff96a8073da63']; context = [[20, 68], [43, 97], [27, 93], [84, 160], [2, 67], [25, 90], [37, 99], [3, 68], [183, 244], [20, 95], [11, 57], [11, 66], [3, 63], [17, 81], [9, 70], [2, 47]]; loss = 0.008620 low_pass_filter = 0.300
+Epoch 0: | | 35089/? [6:37:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 35090; scene = ['354f56e1fbe2b3db', 'fc0cbb9cab76a6e0', '8b1c4d754560c044', 'fcf7edbd43225708', '84463d4b276a6a65', '79c3bcdfe5f242ea', 'a37fb40adf2531e8', '31a0c9b48652eb6b', 'fc726e9da7ef022a', '7a915db6a6bfc2dc', '9bedb2eff1cc0ef6', 'e8a2f62859a3727d', 'c4c25091ecc2c5e5', 'e238437c5c59bf7f', '3ce0a9cc3874aee5', 'af973133388b427a']; context = [[4, 83], [1, 63], [50, 102], [12, 72], [55, 122], [73, 148], [21, 96], [128, 174], [0, 46], [1, 74], [43, 121], [8, 77], [76, 136], [5, 57], [38, 105], [28, 93]]; loss = 0.009563 low_pass_filter = 0.300
+Epoch 0: | | 35099/? [6:37:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 35100; scene = ['f87486ad60f4d325', '05c29d863074fdef', 'c6e306b85165a748', '2504fcc45f7737dd', '968cea950767945a', 'fa83934d7b66b475', '236ceca53fa65093', '0935c25ded763eb1', '35c68082e9967b8f', '96c58fa728dc5eaf', 'd6ca8c7121be7809', '34cd718b5402bb56', 'c90781a8c3550f6f', '8e6b88241cc7d11c', 'f09700f48fe43b7e', 'c5078f3771b597c8']; context = [[1, 65], [43, 103], [194, 277], [134, 196], [21, 72], [74, 141], [26, 104], [4, 72], [2, 52], [9, 72], [5, 89], [104, 175], [15, 58], [29, 83], [44, 99], [9, 70]]; loss = 0.009475 low_pass_filter = 0.300
+Epoch 0: | | 35109/? [6:38:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 35110; scene = ['e39974ca56f48929', '11a0410061415599', '77542628c9955b43', 'ce50e60b3d231911', '651dec57270e7a1f', 'b7cb64ed6212f961', '1170794da4c3f477', '1ef1a0860a3b465e', '15790a6ab4a1f516', '414b7d55b5fde684', 'c772fa408dae9acb', '8a063a94cfe50aa1', 'c2e29d5707c809d6', 'def54ce161678aed', 'd532d494f7050bcb', '59133f255b9d7921']; context = [[19, 63], [67, 116], [92, 142], [6, 52], [19, 86], [45, 121], [55, 128], [81, 140], [22, 75], [6, 68], [0, 49], [25, 97], [28, 97], [111, 169], [44, 94], [0, 44]]; loss = 0.009805 low_pass_filter = 0.300
+Epoch 0: | | 35119/? [6:38:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 35120; scene = ['a97c604082cdee65', 'd1dfd1bdfbeccdbb', '0f43aae34b1eb846', '44cfe7306f4e2092', '66c5f610bc4a8909', '9ffafe5ae44cb7e6', 'c97f57e4354ba28f', 'f897471b84a227ac', '7fa2d5cb57f1561f', '2bedb36d46b659f0', 'e43d2a7cd372f938', '571533d1bcdf7570', '7c95ece5379f4f34', '50badc3728c1f162', 'e02ed2926edaed28', 'bfa43fe391fa2d46']; context = [[131, 199], [70, 119], [39, 117], [30, 105], [6, 60], [83, 154], [1, 71], [2, 69], [12, 57], [0, 81], [19, 63], [5, 85], [11, 79], [2, 51], [81, 138], [37, 107]]; loss = 0.010818 low_pass_filter = 0.300
+Epoch 0: | | 35129/? [6:38:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 35130; scene = ['6a42ea1890a306e5', '37bc599a6783a226', '6e3486f534005c31', '165fb1e7a4e9671f', '39f0a44d63218621', '07685b64c9bd166c', '59f51dc04d5ff9e4', '395802511d26f32e', '3b1b8b689269bbbc', '2bbc66822b9eaba0', '4697b4c72f730392', '22d68157bb17502c', 'b94371329562669f', 'c7860cdfdd3a2f5e', '38e0917d61051a6d', '3b64aa64e8f04465']; context = [[59, 119], [1, 71], [153, 211], [29, 72], [104, 157], [2, 78], [4, 71], [7, 55], [9, 62], [6, 52], [4, 64], [7, 71], [20, 90], [80, 144], [8, 83], [102, 160]]; loss = 0.008322 low_pass_filter = 0.300
+Epoch 0: | | 35139/? [6:38:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 35140; scene = ['71da350128beda8e', '837e0e5f18d3ba68', '3e9d04e3d7dda317', '0bf674188c2377e5', '2c6da66ca288ecf2', '5fa60eb00fe9c983', '8e301c50431da386', '01166cb4cefb15d1', '24397127377dbd81', '464c4320ae4c4834', '2649892c4c56166e', '669a73d1c2d378f3', 'd2a67d5d2d55a04f', '2b03daae55bca39c', '7e5deb9e81477190', 'f9f240e5d3cc903d']; context = [[1, 46], [15, 95], [0, 48], [18, 71], [12, 66], [39, 105], [68, 115], [7, 55], [5, 79], [39, 120], [129, 214], [21, 103], [0, 62], [121, 191], [2, 61], [0, 68]]; loss = 0.011987 low_pass_filter = 0.300
+Epoch 0: | | 35149/? [6:38:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 35150; scene = ['7bfb1b21500018de', '52b8fa618de3a574', '9dec33b423274a53', '7619357a2ca5e1dc', '02500b1c8485a128', 'f81cbb189d1c34f3', 'a854e49858d06909', '86a4988309c5a426', '81b6cf7fd559d1c2', '4accbdaf2ba3e72e', 'da90497dc4a78933', '7c4abf90a9c2bb5c', '7440df6b4df2803f', 'd342e31b3af28208', 'ef0948bb2141d23c', '47941997fadc2c2d']; context = [[47, 98], [6, 59], [50, 119], [14, 70], [78, 129], [14, 97], [20, 86], [25, 96], [107, 150], [54, 139], [3, 84], [32, 78], [10, 67], [52, 103], [9, 63], [3, 50]]; loss = 0.010054 low_pass_filter = 0.300
+Epoch 0: | | 35159/? [6:38:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 35160; scene = ['f49328cec36f3426', '6a6351dd709a7f23', '76bfadca2713b90b', 'b1f0ea674605ee53', 'f47bf9df4635b7bc', '24a505e1ad056ff9', '24cec1d62733d776', 'bd4fec10278764e5', 'a02d73f77391cd9e', '17887dbb8a52cb83', 'fe02eaf3a7d21398', '986577a37b521a50', '3032f67485c3b01b', '50e81e168f35aad5', '9eb64d36e937beef', '1c1ab960acf9d1cb']; context = [[31, 76], [6, 71], [3, 61], [89, 161], [82, 138], [57, 123], [51, 125], [42, 102], [0, 45], [1, 47], [6, 50], [3, 75], [195, 258], [61, 117], [47, 99], [78, 133]]; loss = 0.011099 low_pass_filter = 0.300
+Epoch 0: | | 35169/? [6:38:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 35170; scene = ['19cc4ec8e21b4eb7', 'eb99648525600fdd', '7a92b127f35b7a6a', '31b5f9e254a8bded', 'a0f557e8837ed19d', '0b3eb7ab398a78fb', 'a908c16e18bef0ff', 'd3deda68d0401c99', '01199e81be41c98a', '3bfbf93e5dad570a', '54f437c95d89a7e8', 'b98f8d6397991a0a', '41e45fb36a6f26cd', '97be39180cf3419b', '31b89c53160b4f2f', '878900a19170087e']; context = [[57, 100], [45, 118], [4, 57], [10, 81], [4, 55], [40, 100], [18, 78], [50, 125], [94, 138], [17, 73], [14, 95], [54, 105], [104, 169], [43, 95], [42, 100], [2, 57]]; loss = 0.012639 low_pass_filter = 0.300
+Epoch 0: | | 35179/? [6:38:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 35180; scene = ['c221145e989e0ebe', '66a079896a5f5de0', '9127991e1bcbc9c9', '1cb7aee79f67faf8', 'dc7a324e7e3e0c21', 'e17be9060afc6084', '3fd8ffd6f16252ce', 'dda1c2d4bd25e6f1', '619fab5acfc50704', '589c50b99b3f9f21', 'eeaf662a58103c1c', 'b368f4b308aa5185', 'a4061f8f59c6fb6a', '643734c4546730e4', 'c8cc82055a21d0cc', 'aecffcdf88f13f3b']; context = [[66, 135], [15, 59], [8, 77], [50, 94], [171, 254], [48, 117], [7, 59], [2, 86], [4, 67], [2, 59], [30, 80], [14, 68], [6, 52], [66, 113], [0, 83], [9, 88]]; loss = 0.013712 low_pass_filter = 0.300
+Epoch 0: | | 35189/? [6:38:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 35190; scene = ['00a7a9c0ea61670d', '9ce015e049e794f1', '3333768ade9bae8f', '0faf6d493edc4914', '835fcebe0e9a911d', '8b6fc7cfa0e1de13', '2c2893932017a26b', 'e019f256c86c3ffc', '279f2ecc43905a1a', 'de0b5f163df22bac', '505f84dee49114ed', 'd73f44859940e79a', '97a5b7691a70c955', '17967e4f66c09b0b', '42cb1d6d9caae5d8', '0f2d47fb28cbc808']; context = [[0, 51], [4, 80], [47, 106], [87, 138], [38, 99], [71, 148], [124, 185], [29, 82], [44, 117], [3, 67], [7, 86], [17, 61], [23, 76], [54, 125], [13, 76], [26, 96]]; loss = 0.010226 low_pass_filter = 0.300
+Epoch 0: | | 35199/? [6:39:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 35200; scene = ['57edf016011a8725', '9e7a2c3e91fea1a5', 'ccc3c526fca2efc9', 'fb2237d2952644ae', '4cd5407ccbb727a3', 'e7a2deee0dfdfc9b', 'fbe21b4757833c52', '0d3951ef69a23501', '0e6b54a45061ff27', '84e4301303b9ce99', '8751d83c81e691b4', 'd7fa6d0a01a9bcbb', '9832efd4fc5ef172', '31dfc1a39af4a4a7', '164156530d3be634', '7615cbc4ef6c7051']; context = [[1, 49], [1, 46], [32, 104], [0, 44], [50, 114], [2, 49], [93, 142], [15, 88], [111, 189], [0, 79], [0, 43], [6, 50], [68, 150], [13, 89], [94, 174], [8, 80]]; loss = 0.009382 low_pass_filter = 0.300
+Epoch 0: | | 35209/? [6:39:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 35210; scene = ['c3f39ae4b7f1e3f0', '00c7627b596c041a', 'd96daf909ddb27cf', '7f4dca7fd5c06d2d', '262a073a6d17f7cb', 'fa0d3eb64efeae96', 'aa65027f8e9263e0', '0aba522b24ee4f65', '44903b0f7eed3549', '99898ddec952df0b', 'b83caf4688d7f773', 'e5ec53baa443456b', '6b03f3ad9c835c21', '90c1552eccdde512', 'e26067b30e26eaa5', 'a144d1791f033ad1']; context = [[92, 165], [7, 81], [143, 197], [71, 136], [0, 49], [3, 59], [1, 85], [99, 168], [14, 63], [34, 92], [101, 156], [3, 54], [5, 79], [30, 101], [13, 72], [29, 94]]; loss = 0.009736 low_pass_filter = 0.300
+Epoch 0: | | 35219/? [6:39:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 35220; scene = ['e9636b0d7cce7ab5', '340d6554b5a5d446', '5650b76126dc33b3', '120391d54ad880a1', 'eceaf2fe0853e0ef', 'f29f238654d44358', '4373673ff80633f6', 'a459b15b2cf89adb', '113a7c672823203b', '7e15d7ac4e6f9d15', '9dc164828900c1a5', '9d0bfbe5b7f98545', 'a7b3b1f8ad45f902', 'ab1c5358d3bb05db', '48128a0c25ba17b3', '3d4b9b728d676007']; context = [[17, 87], [7, 78], [36, 99], [17, 73], [73, 134], [29, 94], [16, 100], [88, 135], [6, 56], [3, 54], [1, 49], [41, 91], [0, 60], [1, 81], [0, 45], [9, 60]]; loss = 0.009431 low_pass_filter = 0.300
+Epoch 0: | | 35229/? [6:39:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 35230; scene = ['67d059492bf13057', '8900ca7b5ed830be', 'eed30eff53d92b9c', 'a96b7c383abb8850', '56de53a42f0632b2', 'e99547c40145a004', 'a287307f826a7aee', 'ebccf736e83cc7c1', '43a14409ee210cbb', 'd04b9bff4d629a09', 'dab75a4882cb6020', '4dde51f40224a106', '610e4d0305c657f1', '49a3f7ae3a565531', '0021e3be0043c3b3', 'fdea8b88ee5b83c0']; context = [[37, 100], [2, 88], [105, 182], [38, 116], [43, 129], [10, 83], [90, 176], [30, 74], [102, 184], [49, 127], [49, 115], [20, 102], [0, 49], [72, 157], [14, 57], [18, 104]]; loss = 0.015022 low_pass_filter = 0.300
+Epoch 0: | | 35239/? [6:39:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 35240; scene = ['5c4acbcb2726ae77', 'ab88a6b3b387dac9', 'b7aeefdcf8c006ec', '347a65acdefb3ab8', 'ca04de3c55cd1ca0', '03a09832e1472391', '84359e8e847ad96b', '8625891ed4d0cf38', '63be9c98ca2453d5', 'b1dabee1febd0442', 'ed10d336c38397e6', '9a5a417c708dcd2d', 'c2cb4c6265e53e9c', '65f21b4e27c1e26c', 'c50f58adfa650ab6', 'd06a79cd2c84ed0b']; context = [[48, 104], [23, 88], [109, 191], [0, 76], [60, 142], [15, 71], [19, 95], [64, 140], [22, 102], [4, 85], [0, 64], [2, 74], [13, 67], [8, 71], [18, 96], [8, 71]]; loss = 0.010472 low_pass_filter = 0.300
+Epoch 0: | | 35249/? [6:39:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 35250; scene = ['ec680845c6a7295c', '3f62df9974f73102', '54c8e9c778b2fad8', '1de9cd4f82ee4ea3', '26b8c9221b370a6a', 'b32de1c311763e38', '30ef5f553648df47', 'b81984c3db6d299c', '67fea88caebb1c14', '51c54c9b7f7598c4', '045404bb5789b725', '17d52a5b96e9c278', '702e3924eb797e62', '3f0671b3aab75af7', '197ff5c7287f0d9b', '1dcb240325fa36e7']; context = [[31, 81], [80, 129], [17, 83], [78, 121], [111, 169], [22, 82], [32, 89], [107, 166], [64, 146], [4, 89], [2, 58], [3, 81], [12, 55], [54, 104], [85, 167], [114, 163]]; loss = 0.010903 low_pass_filter = 0.300
+Epoch 0: | | 35259/? [6:39:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 35260; scene = ['c37054cf8ffe745a', '5d244ada6c250442', '6713a81ed431d91d', 'da127d5d82256afd', 'db25ce184054217a', '656546e561aec370', 'c8c116c28ca108b0', 'db062134f9dec5f1', '1c7f730db5d85172', '21dc12bbbe7810d8', '114849750993031d', '35defcd6d8369e3a', '3097fbf4e8e1cf6b', '3a362a67b9e12376', '926981007a66053d', '25d01adc0dba1ce1']; context = [[81, 158], [12, 62], [41, 127], [6, 60], [116, 161], [2, 45], [80, 157], [37, 80], [4, 78], [45, 131], [2, 64], [107, 159], [46, 115], [10, 89], [144, 196], [28, 101]]; loss = 0.010041 low_pass_filter = 0.300
+Epoch 0: | | 35269/? [6:39:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 35270; scene = ['d1efd406188a5613', '5958daa0530a7150', '412663a5d396046c', 'fdaef267e08ef3aa', 'b39aa70a6f60cebf', 'c7f8b0aa62eb8ebb', '58860911781d94f6', '7a7904319dfba47f', '734b4d41bd350875', '9931b92949a74875', '62d6461a71e298c0', 'c5faa3aabee36f71', '89f107ba4891dfa8', 'c97f1c4911931200', '3378631b363f8814', '47ac3ca0d635f78d']; context = [[39, 107], [19, 68], [141, 203], [118, 189], [2, 72], [79, 124], [12, 74], [39, 96], [144, 208], [2, 88], [1, 46], [151, 233], [155, 215], [68, 123], [1, 50], [2, 49]]; loss = 0.009498 low_pass_filter = 0.300
+Epoch 0: | | 35279/? [6:39:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 35280; scene = ['004a40da569ee807', '703860a4a2fc4649', 'da2b6199a9135d43', 'a741c7e0eff7ac67', 'd9fb64a51b499e43', 'e0e5ca65d06c4aa2', 'a50870dde2672221', 'b047dc9789779470', 'dff73d748dda6d8c', '12ca4e4975bb2a9c', '7bbc16f55a96e465', '8a02d21e625be4ee', 'b0c1009eeb7b447f', 'aefcd43f036bb40f', '1da214534aec3dbf', '91c1cbefd5264370']; context = [[30, 116], [4, 86], [31, 87], [0, 43], [0, 59], [1, 61], [128, 190], [9, 71], [153, 219], [140, 209], [5, 70], [59, 133], [70, 115], [0, 57], [5, 56], [15, 67]]; loss = 0.012816 low_pass_filter = 0.300
+Epoch 0: | | 35289/? [6:40:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 35290; scene = ['2005f0e5c1dcf4f3', '04dabeccd47224d5', 'b3d00cf94ec7c598', 'b050a2d77eb9b60e', '8cf869157be6230c', '006f41ee9800fecf', '5c9c06be50b78c13', '162c744bcf4469e4', 'fdcd78c4432bd860', '3af30156efa35d09', '87d369842c66fc64', 'b9aea5da640d739a', 'd6443c4840318df3', '9c9608ac2ebd5912', '4411a6eb5a900e40', 'c6d6e4afbfc319bb']; context = [[7, 56], [3, 71], [11, 69], [171, 217], [131, 182], [6, 61], [20, 79], [16, 65], [8, 62], [16, 60], [2, 54], [152, 225], [6, 62], [68, 148], [14, 57], [0, 67]]; loss = 0.011689 low_pass_filter = 0.300
+Epoch 0: | | 35299/? [6:40:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 35300; scene = ['b57b3bae192d05e1', '0764fc7d1ac310a4', '73defeeacbffa502', '33467eeac0c07e61', '38a709b9a18034bf', 'dbd17f73c27256d0', 'ef71162fc458a834', 'd6c447047a35a41e', 'aad2f8506adbabbd', 'fa957196fd3f3d44', 'f2a40abf0e21787d', '4c5243aa962d4277', 'd6ca8c7121be7809', 'd3b719a3855f8ba8', '34cd718b5402bb56', 'ee90605f5f0a4d2c']; context = [[2, 73], [8, 61], [84, 154], [84, 155], [8, 54], [16, 70], [9, 92], [15, 70], [8, 94], [7, 67], [97, 144], [36, 93], [2, 74], [52, 136], [205, 265], [47, 129]]; loss = 0.009945 low_pass_filter = 0.300
+Epoch 0: | | 35309/? [6:40:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 35310; scene = ['5ceded5edfceb262', '7c3476a62ce00a5e', '8f20f72494bf5bdd', 'f0b964cc96ba3d3e', '96cc4eac057b8f1d', '110eff3e7cfad06e', '4458d2b066bc5da6', '68ac9aca7a4cae97', 'a72b94bee0c0c469', 'afb48c56cc7ce3d7', 'd4f666ac0061eee6', 'b1fa3763e9862c47', 'b88bc7e2f6a64a68', '7353c2be5dcb6491', 'eba9df5e18faae55', 'a03503eb22f64a17']; context = [[226, 272], [24, 72], [3, 55], [7, 90], [29, 84], [119, 194], [0, 63], [35, 97], [58, 136], [19, 100], [0, 43], [2, 73], [2, 77], [189, 265], [178, 240], [1, 65]]; loss = 0.010815 low_pass_filter = 0.300
+Epoch 0: | | 35319/? [6:40:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 35320; scene = ['674e6f9d101f4061', '6c0c5d76c7684129', '52c8bb2604e9cd40', '2a7284b013df5506', 'b0bcab24a4966810', 'ab41878f4d98b685', '687fa81a5a3fbdb2', '5fd63ae2dff32d1f', 'e6bdfb9e4def7696', 'cc18aeb3246a90ba', '8bd5f958ccd6eaae', '4a01767309372d2b', '57ff7d61dab3539d', '43dcad54760149f9', '7e12b2b9d3173b0a', '93fbe83cd7085af2']; context = [[24, 83], [35, 116], [29, 84], [21, 103], [157, 240], [12, 63], [0, 71], [36, 122], [6, 86], [1, 52], [1, 59], [3, 78], [27, 86], [126, 199], [9, 56], [2, 87]]; loss = 0.009593 low_pass_filter = 0.300
+Epoch 0: | | 35329/? [6:40:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 35330; scene = ['d9835172ec7ef94b', '0f7e699b0d6c2662', 'ea850ce89b6b046a', 'f7da21f2c663dabf', 'ee5c6bd8fe1eecae', 'f1b6e93f27fd5770', '90a01a4bf92139d3', '8d055c85341ef5be', '8f5ddb008afa3cb5', 'efcc8e5b3e5c6ceb', '7816c7773e13c822', 'f6a5937f861bc798', 'b9088d10a87467ed', 'e3d545fddc61ad3f', '648c1c7710df04dc', '75ba1cf5e8ed04f0']; context = [[0, 53], [77, 126], [1, 77], [36, 108], [17, 97], [117, 176], [129, 201], [118, 181], [2, 45], [163, 219], [32, 86], [39, 83], [117, 184], [105, 155], [76, 135], [21, 66]]; loss = 0.010963 low_pass_filter = 0.300
+Epoch 0: | | 35339/? [6:40:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 35340; scene = ['28522eba1f933510', 'bec5a96b9f3d3958', '9118acc3b937529a', '0004866ca872087c', '8337a32969c365d7', 'fb3de7df9bcd21fe', 'fa2944a076811544', '99e524fca7e5a5d0', '5d82d56654db7bf7', '1296e02bdb6ad82d', 'ed8eeb9e0db8d295', '2a6f7c39b21c51e3', 'bbfc877f1b91118d', 'b8f77bd4fe87f680', '5ba33c04b7f4db27', '6dfb206dc1e977e4']; context = [[7, 60], [62, 141], [18, 61], [6, 84], [40, 116], [13, 84], [7, 60], [46, 95], [102, 151], [56, 99], [0, 51], [19, 67], [5, 77], [0, 78], [14, 58], [0, 51]]; loss = 0.008871 low_pass_filter = 0.300
+Epoch 0: | | 35349/? [6:40:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 35350; scene = ['785c577c10d1cd0f', 'd683f1b0a075297c', 'aa91057e660588a6', '74276916559f4ca9', '7f332d591ca1980e', '21b43052b04845cb', '95da46cc74bd865f', 'a57c3d7a98497d6d', '0a3c48bdaf8771da', 'a526a271a561bc23', 'f5c74a79946b8cca', 'dd941ae713c6c09e', '711eaae87d76ac0e', '1468285f818227c3', '96e650d88643f131', '0e3dd3714c78c34b']; context = [[13, 63], [2, 52], [47, 128], [4, 77], [62, 131], [5, 74], [4, 76], [65, 145], [87, 130], [6, 53], [0, 49], [10, 67], [5, 55], [4, 60], [7, 52], [80, 138]]; loss = 0.008735 low_pass_filter = 0.300
+Epoch 0: | | 35359/? [6:40:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 35360; scene = ['0df956c4d55e4a13', 'ed4fb330d57107ce', '8f19401489503eec', '246c5b6a15519b6d', '59caa671e1d05721', 'f63601b5eeb07187', '904d8b97e9e93373', '86850dcf04574a1a', 'e90f649b08e946ae', '2d90b55278e5d7cc', '2ba0c2375fcbc358', '2754f077aaec5810', 'ee5f3a9e09cd5820', 'f3bb025b57b61b5a', 'f9075514520de706', 'd8346f5dba4d79d2']; context = [[183, 237], [27, 93], [0, 77], [2, 61], [10, 67], [37, 120], [23, 82], [210, 262], [92, 167], [20, 81], [3, 49], [2, 59], [59, 129], [47, 93], [1, 46], [35, 91]]; loss = 0.010551 low_pass_filter = 0.300
+Epoch 0: | | 35369/? [6:40:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 35370; scene = ['ee847204f0e45a0c', '21a16d8faeb7671d', '0f0b4e5c07fd48fa', '6b241d02421eb171', '61e0721e6e6ca7c1', '1037ef575591ee70', '5cb64314cae6d591', '3ed6c0f3a5cbad8a', '5e67bd6522c51ee4', 'f01548ad052a4b31', 'f0d9970d8cfb6921', '43c46d517d6c3a38', '42de400e5f04f808', '6907e467f3ed0458', '290f47ced09ff47b', '6a6d50e32a74cb1e']; context = [[19, 87], [17, 101], [161, 205], [14, 94], [29, 110], [34, 79], [80, 152], [57, 124], [22, 73], [43, 94], [22, 96], [16, 69], [16, 99], [1, 61], [0, 43], [0, 45]]; loss = 0.010099 low_pass_filter = 0.300
+Epoch 0: | | 35379/? [6:41:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 35380; scene = ['ace591a332a2780c', '2ef7b8e6a0602913', '74224d25c8e85b39', '6ef51b06550c0d9a', '9007b3ae76d7a762', 'bf37156b4d92c7f2', '9adb29df30906ff4', '444acbb6c0877842', '0d9a105c2374b898', 'aa6f4e19536dbff6', '83c6fd3484bd4fd1', 'fe23698b552751d5', '4f6f5afc21c3700d', 'dea4f1344575ac36', 'd12eaa23dc8bdf11', 'f7de09db1a698fdb']; context = [[84, 133], [44, 123], [121, 200], [31, 104], [91, 175], [24, 92], [57, 126], [16, 60], [0, 58], [7, 71], [5, 51], [3, 68], [1, 50], [194, 254], [49, 94], [156, 209]]; loss = 0.012244 low_pass_filter = 0.300
+Epoch 0: | | 35389/? [6:41:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 35390; scene = ['b20b69d74585d878', '6df3bba71999762d', 'dc4cde40cb53c448', '88dc98e74deb6e1f', '741157d815e33610', '558e6d3b43990261', 'e2dd04a765274f4c', '63af9885dcfadd96', 'e5d9bba19e6090de', '100f95736a9884a6', '5285baf2ba809bbf', 'ed2c7aace887364b', '0d6e74470896232a', '2f2219164c52bbe0', '6cb7df2f1d711464', '61332cebfe33da87']; context = [[21, 68], [123, 176], [10, 83], [53, 105], [74, 155], [4, 83], [10, 73], [38, 105], [34, 119], [39, 115], [43, 109], [77, 144], [7, 50], [0, 68], [44, 95], [146, 210]]; loss = 0.007412 low_pass_filter = 0.300
+Epoch 0: | | 35399/? [6:41:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 35400; scene = ['2df270a308fce16a', 'b3bd757032c06692', '524cac36a2545b6e', '59c8185edac612bd', 'e647d3dca9afa2d4', 'b73ca7a033be2fe5', 'e3f69d6b8251e4a9', '26e28d2886638bf4', '1b2463f9d2759073', 'e291858411a38891', 'e8b4e52e3f875679', '52a73c0beebbd06a', '5e8ece99efe2eb25', '9e93f8bfdab92af6', '5f5147941ede5f85', 'b2ba6e81e399aa61']; context = [[68, 121], [6, 54], [14, 61], [45, 109], [9, 86], [3, 81], [3, 62], [4, 56], [22, 88], [14, 57], [5, 60], [13, 97], [14, 91], [53, 107], [75, 134], [3, 47]]; loss = 0.008902 low_pass_filter = 0.300
+Epoch 0: | | 35409/? [6:41:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 35410; scene = ['10ac5613e2e5cb79', 'd1a65bf92e622589', '72cd35a718e0120d', '9e02959687979c23', '862bca667f4bf63a', 'b17a4057ec690a1a', '10708f738dc1cdcb', 'f1d6506bce19c2a4', '0b7bb37506071244', 'fba3ed30e62af988', '6e8f51c971a54b1f', 'ebbf8fa5e83a4124', 'caab187b01c5f6e6', '95752980cc4659db', 'e2c09e4204bba297', '3e9af8bbf5d448cc']; context = [[6, 56], [36, 79], [29, 99], [54, 131], [51, 96], [35, 105], [19, 82], [24, 76], [15, 70], [125, 206], [32, 90], [8, 87], [13, 63], [3, 85], [42, 124], [5, 74]]; loss = 0.009687 low_pass_filter = 0.300
+Epoch 0: | | 35419/? [6:41:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.40, train/active_min_children_step=4.0train step 35420; scene = ['6e521142e65f6c17', 'fa6b4b8565053454', '1e901762e6303bd1', '0a76fe2e2dbe992d', '0ea602343e77c593', 'b28bf243cf3e48b6', '4d3229cd7d69828b', '7efc7102b3b079d9', '75cf72cbf86f26c0', 'e66b797b12d9b3ae', '9244db5b18e2b374', '9c8081404a3f7882', 'ca1fde2400756850', '75134d5964b209a9', '552dfd0a1d1ec11d', '5ea7115a2e255739']; context = [[106, 152], [0, 69], [47, 133], [18, 69], [10, 60], [10, 77], [65, 120], [3, 47], [42, 87], [165, 244], [44, 90], [10, 60], [55, 115], [1, 58], [8, 51], [3, 71]]; loss = 0.009987 low_pass_filter = 0.300
+Epoch 0: | | 35429/? [6:41:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 35430; scene = ['15076bf2743d9c16', '94dd477c1b4386e0', '2c3ae6fba185012b', '74c22eae5c48a79c', 'b719eff1b6efd965', 'ac74ac4b166c0b87', '8105bfe49468013e', 'a17c834f307ff467', 'b2af46dfc30a2b98', '6aba476ffd0b4320', '4d1ef055f0d5854e', 'f4b8e03f8512d2d2', '953fd237501e5b53', 'b889e10f246936aa', 'e8a8f9f332e58578', '8246780079add2ad']; context = [[85, 156], [10, 55], [38, 97], [128, 183], [44, 96], [29, 77], [7, 85], [2, 46], [3, 53], [18, 74], [194, 260], [36, 89], [21, 93], [28, 101], [196, 272], [90, 135]]; loss = 0.008916 low_pass_filter = 0.300
+Epoch 0: | | 35439/? [6:41:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 35440; scene = ['8c1ce54a9dcbb3fa', '8a6ae359f2c866b7', 'bd56736d1e772221', '1f1a57dd8880fd7f', '914f26b6c98aa85d', 'caff85cc563975d6', 'b894b3318d6590d6', '2335f520c6a59875', '7e85b8181b1fb058', 'fda12c961edaa2ed', '547435e53b6b3cb3', '27df9ee1be012ff1', '8b6c25d98b699b6d', '0eeacc044d6356aa', 'e0c4d841d11abf19', '9df62c48e94a6bd2']; context = [[15, 65], [135, 185], [1, 53], [26, 74], [8, 81], [50, 112], [10, 71], [14, 84], [3, 47], [49, 121], [10, 63], [54, 140], [16, 83], [13, 75], [70, 143], [5, 57]]; loss = 0.011483 low_pass_filter = 0.300
+Epoch 0: | | 35449/? [6:41:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 35450; scene = ['db139805c0d52235', '243515e0bc44ae29', 'ddc6e8abed84d947', '0c6abcc734bb3112', 'b062a28145350c16', '493047f10d617f3c', '202e6eee20bdcddf', '33d38bd50acba191', '95f22b8591bf4be2', '9c023f327ece2911', '8742bd2ab32b9163', '5ef7638cba2b3784', '5756ea589388bbbf', '96bf9a757d5e3675', 'd9245c9ac4c4abc0', '1a56e90c175dfdfe']; context = [[131, 202], [7, 62], [57, 126], [89, 150], [22, 68], [76, 139], [65, 127], [4, 77], [21, 86], [21, 67], [8, 52], [212, 274], [14, 63], [20, 77], [5, 55], [16, 73]]; loss = 0.010947 low_pass_filter = 0.300
+Epoch 0: | | 35459/? [6:41:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 35460; scene = ['8053ed847b0af4a1', 'd3632550fa9e2ebd', '9010748f8cfe88b9', 'c37f371024f6d632', 'cd04ab5dec574c93', '7a37989147703fe6', 'b6d94913365750d7', 'f689c2aa8c701b90', '289685420c8f68da', '5e027a4bea7f4724', '24887d4b62338558', '1fd54c9bd5b75d33', '34eef5463ac864ae', '11c4a7d67bc2629e', '70fa77c74fad4d72', '35c88d10a4ef8a95']; context = [[14, 100], [58, 104], [33, 94], [172, 240], [71, 120], [70, 135], [20, 86], [14, 59], [3, 71], [31, 91], [39, 120], [25, 77], [19, 83], [1, 58], [4, 70], [43, 92]]; loss = 0.011931 low_pass_filter = 0.300
+Epoch 0: | | 35469/? [6:42:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 35470; scene = ['0798c66d382f3f33', '6311f7f59a5b58bd', '2f95a104b58aef0c', 'c6a0f60507c5b23e', '9783eab48a41e20f', '117eb07d6c928f92', '97ca51807dd1ccdb', '3f79f389b6ba0ad8', 'd4294f7d5b241d04', '077972a0fc9c4962', 'd4e43250c96c98c5', 'd960d2f3dfb2a4d0', '43765e6135a1b51d', '7e43b61bc188c129', '3493d0e1fde910f1', 'a9139b3b3fda05b5']; context = [[103, 169], [37, 86], [37, 80], [10, 90], [14, 58], [106, 150], [57, 141], [5, 51], [25, 77], [3, 88], [226, 272], [5, 79], [3, 46], [122, 197], [5, 56], [80, 159]]; loss = 0.010984 low_pass_filter = 0.300
+Epoch 0: | | 35479/? [6:42:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 35480; scene = ['1b64868112b2ec1b', 'c431a52457f959a2', '98c52825e7ffac25', '1b88911bf16bb6ed', 'c5ac88f14d0b15ca', 'a402cc3003cb8785', '20b3dec78e071258', '5f64c40f03d6afdb', '879d7f9c93e40924', 'e2ae51feed803f16', '76bcd8986a0959e6', 'f50a0d6022e7e2e5', '439d54052f961970', '8ac9a36a33bf4aac', '5228a1b35d098521', '31e3f047172167fd']; context = [[24, 88], [61, 123], [5, 50], [70, 127], [159, 240], [2, 82], [57, 123], [28, 81], [36, 104], [14, 82], [24, 80], [1, 58], [92, 171], [54, 128], [85, 164], [8, 91]]; loss = 0.011053 low_pass_filter = 0.300
+Epoch 0: | | 35489/? [6:42:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 35490; scene = ['33fce97957833b09', '2066f797ae29e4f6', 'd47e75b15999fbdf', '0ecb8e2597c98e05', '46cfe90be78f1b48', '334353cf397fda8a', '244f5889c98e08d8', 'b2ba2a9226ab5416', '58579896a14a9718', '39add666b4236924', '0db524aed16843f5', '597d275f09b79f31', '3c23f9c44d4156dd', '21be445f191eadba', '462da395d2473142', '98813ff7feb96e8d']; context = [[37, 88], [109, 154], [12, 84], [19, 79], [74, 157], [38, 86], [179, 245], [2, 45], [75, 133], [65, 127], [175, 235], [32, 112], [6, 90], [9, 68], [225, 268], [15, 87]]; loss = 0.009588 low_pass_filter = 0.300
+Epoch 0: | | 35499/? [6:42:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 35500; scene = ['5951af157af185d3', 'ee1b42096b7e9290', '3e3bdee0d09a1df6', '5edf1a4936d1e3cc', '4fdc641d03ea4cfc', '9b8bb08ccaeeb8f3', 'da137a620bd5e31e', '195686413a5db857', 'fbe4178be70f09de', 'b0be2931a2325f87', '85082ee2008df25c', 'e033e4b75d4f8b5e', 'e7b5b41ab8ad84db', 'ae4c14039db4774d', '1281a0b56433e41c', '51e9e7382a4da6a2']; context = [[21, 77], [8, 92], [201, 264], [149, 213], [89, 140], [31, 113], [17, 86], [42, 86], [5, 64], [0, 59], [5, 52], [72, 139], [27, 98], [20, 68], [160, 235], [6, 68]]; loss = 0.011876 low_pass_filter = 0.300
+Epoch 0: | | 35509/? [6:42:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 35510; scene = ['b68e31337deab68a', 'f50776fbe854899c', 'ff092f1b478b1968', '86aae4818a6082d9', 'a72b94bee0c0c469', 'b1fa3763e9862c47', 'd4f666ac0061eee6', '68ac9aca7a4cae97', '01042371ee0b76ac', 'f0b964cc96ba3d3e', '8f20f72494bf5bdd', '5ceded5edfceb262', '28c433a75667a138', '4458d2b066bc5da6', 'e316606831971498', 'afb48c56cc7ce3d7']; context = [[13, 91], [16, 81], [66, 134], [140, 226], [181, 232], [1, 84], [1, 44], [0, 62], [14, 76], [39, 84], [2, 53], [12, 56], [155, 217], [38, 82], [10, 96], [27, 93]]; loss = 0.009488 low_pass_filter = 0.300
+Epoch 0: | | 35519/? [6:42:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 35520; scene = ['5d353287276b3f72', 'b3b8eba88ea7d064', '9388ca301f4e0bd1', 'cd42477f8d3ee091', '46d6eb17b0db43a0', 'a94cf3b3612d30ab', '66680f2ffd969227', '2a3b8b8cc1fedcd3', '455ef17251608d98', '8ee6d91658f575f1', '4c7c64719fa77977', '7de38ac4e903910f', 'd470875e58c39c58', 'ebfbb2432fcbeec4', '2f9d71971c4c8af5', 'f7ff5b1477f82169']; context = [[113, 191], [44, 95], [2, 45], [80, 138], [23, 92], [7, 78], [10, 77], [130, 176], [4, 76], [0, 47], [52, 129], [95, 178], [26, 74], [86, 139], [82, 150], [4, 84]]; loss = 0.012607 low_pass_filter = 0.300
+Epoch 0: | | 35529/? [6:42:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 35530; scene = ['6c4c274f1c88aae8', '5237c98630df0104', 'f2b18516366f83d2', '3f84f9b89070b60b', '47b48336fd96a91b', '359383026ff90804', '926fc03008d4f064', 'b893952da9b0f1cf', 'e584cf491f0758b4', 'b20a4bb379340290', '7001f2125bb0a274', 'f7dffb88e8919a7e', 'ebd8b74b0fd45d82', '117d1c9fd462963b', '44f26d002b648c08', 'f467ebdc9fa46707']; context = [[81, 129], [42, 117], [3, 82], [60, 114], [200, 262], [28, 84], [35, 84], [8, 65], [14, 61], [12, 88], [31, 83], [62, 129], [3, 59], [7, 84], [0, 68], [4, 54]]; loss = 0.011165 low_pass_filter = 0.300
+Epoch 0: | | 35539/? [6:42:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 35540; scene = ['149ad45c2b6dda1a', '68c8db171dab75ea', '765c6be0dc971f03', '83ac781e4066fdac', 'ade406ba3ca1aa87', 'a5dbef04d6fa313e', '83a2d84657f60fec', '8ec047d3e6c67047', '371a69a4c08f16c9', '417db333638be420', '439c55db530b8bf0', '8d2c92c5aff6074b', 'ebd1c21fe893ac74', '81069f82e3a23374', '89f336072aeb05fb', 'dc94561089b65d67']; context = [[55, 105], [98, 165], [58, 142], [1, 65], [5, 48], [38, 107], [19, 74], [1, 47], [186, 234], [25, 75], [10, 82], [10, 88], [3, 47], [3, 50], [20, 85], [7, 58]]; loss = 0.013043 low_pass_filter = 0.300
+Epoch 0: | | 35549/? [6:43:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 35550; scene = ['da137a620bd5e31e', '5951af157af185d3', '4fdc641d03ea4cfc', 'b0be2931a2325f87', '5edf1a4936d1e3cc', '9b8bb08ccaeeb8f3', '0c95664d34705102', '195686413a5db857', 'fbe4178be70f09de', 'ee1b42096b7e9290', 'a5b68d36c4639021', '52ba4ac9ee6a478b', 'f40474e9d43e7fc3', 'c2d8c9cdc34bfb81', 'b88508fa7b6a870d', '2a9d20d8ed924d2b']; context = [[12, 85], [7, 82], [101, 180], [9, 66], [148, 200], [12, 95], [60, 145], [50, 110], [17, 63], [42, 89], [185, 232], [2, 68], [22, 97], [6, 50], [0, 52], [15, 82]]; loss = 0.011504 low_pass_filter = 0.300
+Epoch 0: | | 35559/? [6:43:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 35560; scene = ['a7dbd6c8a26b2dbe', 'd4947e4e6e324253', 'e70c21625fceaebd', '65fce5bd0d83d483', '256ae648672281d1', 'b5ced0beb191395e', '93bc37f0a27daa8f', '26f11847ab7e1b55', 'f90ce230307d2f34', '5e9b5579ab5155f9', '00ad47b927f0c851', '83d97ebbe2e3c69d', '6765cbf77386ace2', '004d2899ce6cfd7e', '420997bae050f564', '78a56baf9c6f433a']; context = [[45, 122], [26, 76], [58, 115], [37, 117], [1, 53], [81, 124], [0, 67], [36, 92], [10, 74], [90, 147], [28, 85], [156, 207], [24, 102], [87, 170], [13, 57], [3, 46]]; loss = 0.010556 low_pass_filter = 0.300
+Epoch 0: | | 35569/? [6:43:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 35570; scene = ['6f906f4748dd243a', '9e0aee54a72d5c8a', '02366c12e5d264fb', 'e6e618b39c52caed', 'c9f78fa882799a27', '72e66804cf74b3a7', 'c06465b56ad7c78d', '23342ee0ee6467fa', 'fcf211292855eb93', 'f18f902446e55b6a', '2d7cadb283e13574', '9b911c261595376f', 'b940087d000e5084', '07b3b8eed5158977', 'f5ac78e0f503ac92', 'ecc9be85f439bc3e']; context = [[27, 78], [1, 44], [57, 100], [3, 51], [3, 74], [4, 51], [5, 49], [37, 98], [93, 145], [89, 165], [27, 96], [13, 70], [16, 64], [10, 85], [36, 117], [15, 85]]; loss = 0.009298 low_pass_filter = 0.300
+Epoch 0: | | 35579/? [6:43:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 35580; scene = ['2f3f9d1ca227e778', '8db618240a07e98c', '04d96fd21593f793', '9d73ce3d387b1c91', '44471b1ddc8a21a3', 'bf69ec4556155b9c', '42f21199800301a7', '72a3dac21cc5a55d', 'b5a21dca4b05f21a', '422be740e4324b2f', 'c2b19e19008d6f64', '165b637923e5e925', '60cfea5a1bd567f2', 'c3a3738c8ddb0e85', 'abe2e633aa6852c5', 'a26506571c3951f0']; context = [[3, 56], [108, 171], [95, 148], [7, 80], [8, 55], [147, 231], [124, 206], [12, 58], [12, 57], [6, 75], [4, 69], [11, 68], [56, 105], [8, 62], [1, 70], [36, 87]]; loss = 0.010667 low_pass_filter = 0.300
+Epoch 0: | | 35589/? [6:43:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 35590; scene = ['95c59cc52adedbc4', '23c1f863919d9a5a', '4303746d8f23f16b', '4f6984c28d90eb09', 'bbda226808fce57c', '249adc3e479b28b9', '54cfdcc11f17f88a', 'dc88bf46941dca99', 'e19f2bdf424cfcde', '5f44c9c88b73aa5a', '993c6c80f2eb7d43', 'a95691c28a8c28a3', '2f56fb1ce3c46045', '11bdc79f5f3fe36a', '33ec2bc6fd434fe8', '9c2ec37ccb615cf9']; context = [[16, 75], [73, 139], [43, 104], [12, 93], [48, 98], [2, 54], [0, 75], [59, 129], [0, 76], [25, 87], [1, 65], [15, 95], [67, 117], [2, 68], [9, 62], [19, 66]]; loss = 0.011233 low_pass_filter = 0.300
+Epoch 0: | | 35599/? [6:43:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 35600; scene = ['30df31bce0d6b16a', '958596ec1ee3a839', '3ec9b76cab1555e4', '07b60db51a783703', 'be8fca24326c458d', 'd73c09ac36dd02b7', 'd34926c73ae1277e', '3922ba9aac216d1b', '85750648ae0a3571', 'd3a0a89d951a6101', 'b43f32da9a7800ee', '43f17977e6afe5a0', 'f8e7bd9e403fc04a', '5c5694be61ffb755', '9452b026b0d20cad', '8b1b695c79061c29']; context = [[0, 43], [41, 111], [22, 82], [14, 64], [114, 198], [33, 92], [7, 72], [13, 76], [88, 140], [54, 123], [10, 87], [17, 91], [10, 87], [41, 109], [27, 89], [52, 127]]; loss = 0.009981 low_pass_filter = 0.300
+Epoch 0: | | 35609/? [6:43:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 35610; scene = ['9a190c4a5a01bc9d', '0ed1fa18e1ea72fd', 'a3e92af759c636f5', '0d0c08bcb5c54240', '0df03aecb95f42b0', 'b5ca8a726d6cda0b', '357c71d79595fde4', '30e603963529873b', '128a981b0696a0cd', '4c4372829996aaea', '150884e851a8da6c', 'f21702cfe6b2846e', '47c95716c4f414cb', 'af86063cb2beb55e', '3a6ced6a3ab9a9f6', '1ffe552668b190fb']; context = [[0, 50], [3, 47], [17, 98], [17, 90], [99, 165], [118, 166], [1, 66], [15, 76], [71, 141], [0, 72], [16, 64], [6, 65], [80, 145], [12, 58], [50, 129], [32, 110]]; loss = 0.008004 low_pass_filter = 0.300
+Epoch 0: | | 35619/? [6:43:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 35620; scene = ['5b3d6bba4d1b3484', '7eb3280167278387', 'c2bbcacaa79d985a', '2e1fb15b53a835ff', '89aa829b0eb46329', '648fc6db158f6e55', '38e70ae6488aab33', '725cf32a819e9e70', '1df4a087ca57a288', 'd4f199bae7f9028f', 'b52b95a079398db7', '679f1c3b1b0b04b0', 'db4b40e46859c189', '0c4e735d67b92814', '6c72d78415cc37c8', '1a32ab8d1a0d978a']; context = [[16, 84], [50, 127], [0, 59], [29, 90], [14, 92], [134, 199], [147, 226], [3, 53], [4, 47], [36, 93], [12, 76], [76, 140], [21, 93], [76, 127], [6, 67], [218, 261]]; loss = 0.009392 low_pass_filter = 0.300
+Epoch 0: | | 35629/? [6:43:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 35630; scene = ['6584d26cd17e774e', '784d25b1c8496d7d', '12187d763ed3bcf3', 'ba2d21290ad804a6', '9d88aa143fcd52c6', 'cca6d62cb8ddc4e4', '090cd7d740571c1e', '32b351130816f54b', '468d05fe9cae4c74', 'ec5be7aa42eaa9b0', '0880f556a19d07f5', '1ce140bd016b2813', '9b6a57a6ff02dd12', 'b9b418fb1cb8b12d', '641310a2d9c88eab', '4bd13783695ed549']; context = [[171, 221], [30, 104], [7, 75], [52, 130], [88, 132], [59, 105], [7, 62], [6, 58], [98, 179], [102, 148], [118, 185], [25, 103], [1, 70], [4, 53], [10, 70], [72, 126]]; loss = 0.010347 low_pass_filter = 0.300
+Epoch 0: | | 35639/? [6:44:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 35640; scene = ['af341801d7396214', 'a29879173eef0f0b', 'acb20b13a0dad323', '7751da6b6b29b68b', '787d7c78016b9608', 'f15c136ef957494f', '4ef76ea7421ee560', 'a679582e4dce4bc2', 'ad2297ce81b9f586', 'd4c45283a9071d8c', '0f638868da0b9ba2', '704e995f7c1123cd', 'af428b0001dc3f57', '2efa09163cda1ed1', '08aa99b304f37fbd', '84447062de7df76c']; context = [[21, 79], [38, 116], [2, 76], [3, 56], [98, 177], [5, 57], [22, 77], [5, 72], [22, 101], [0, 70], [60, 132], [9, 79], [33, 80], [174, 227], [13, 56], [1, 80]]; loss = 0.010516 low_pass_filter = 0.300
+Epoch 0: | | 35649/? [6:44:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 35650; scene = ['80e84c3133ac54d0', '531e56a1ae5c1045', '32fd7014584ba613', 'f1f37eb6fba484b7', 'c520ae3405948a0a', 'f276b95e48af6e36', 'a24eced88f01ac4c', '0ae3cc6c498f4b11', '06b212c332f9e714', '66569c94fc3cf8d8', '0b426b7d9def36f6', 'f91e6a0c02873598', '035cedf33abcd3a3', 'c9fb509765237986', '3653999b060232ff', 'b7910be2e79e221f']; context = [[91, 166], [17, 79], [0, 43], [34, 107], [2, 68], [29, 81], [71, 132], [16, 67], [21, 68], [33, 112], [59, 106], [6, 61], [3, 63], [18, 65], [4, 84], [72, 132]]; loss = 0.009271 low_pass_filter = 0.300
+Epoch 0: | | 35659/? [6:44:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 35660; scene = ['1ae8d232b1f3a43b', '8e2f3bf63d24d3b3', 'e2af00d19440bf92', '1213ca9c64a0e0cc', 'dd79dc72abfc0614', '6074d2ee6d8b506a', '99620b4262b132a8', 'f1d37c37b26e7be4', 'd65ac2500dafc179', '3918e4998619b227', '8902e97c5814433e', '09a1e9bbded02341', '30e1d420b926d6f0', '2a23966bfac99977', 'b6f65429632f92fa', '14270bac7ebd4ce4']; context = [[9, 72], [61, 108], [10, 64], [95, 162], [6, 77], [2, 57], [15, 59], [34, 114], [4, 82], [116, 179], [5, 49], [51, 128], [45, 116], [4, 86], [3, 73], [2, 84]]; loss = 0.010741 low_pass_filter = 0.300
+Epoch 0: | | 35669/? [6:44:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 35670; scene = ['3dd7802a2c93a865', 'd15566035f9fbe7d', '27653232d3379a9d', '4c8ba880158eec5b', '798682f477023581', 'bb93cd27d7051f75', '9c7378d4e255abd9', '3b61ca8af8aef8de', '4d6b988aba86d239', 'bc8608840a05c70c', 'bce18b344ffc0b52', 'c3544b3381a888b7', '2f0e8a231ff23aa2', '44396867de9739b8', '6f34a86f2f4705cf', 'ac603e15d0daa94d']; context = [[15, 70], [11, 96], [2, 51], [2, 66], [220, 272], [0, 48], [32, 117], [32, 110], [23, 70], [51, 109], [0, 67], [47, 96], [9, 74], [118, 173], [12, 83], [7, 56]]; loss = 0.008682 low_pass_filter = 0.300
+Epoch 0: | | 35679/? [6:44:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 35680; scene = ['1953a0037f4dfe85', 'ab34ef119289f944', '2355737449c72144', 'aa5175d18a929cb8', 'c38db68f12e40a06', '2f269b68e14e256a', '06ff1462da8f77d7', 'ca759984e3ab0101', '2f330103819454c6', 'c69799cd4137c6b5', 'f1db7081cdca2869', 'df21bcc5b49bc2bd', '4bf92848b7ed1bcd', 'f7fd59b61fd90975', '3ba9ee5b0a0ab41f', '23997b17e26ba688']; context = [[12, 69], [94, 155], [99, 184], [24, 85], [9, 63], [31, 82], [13, 91], [158, 202], [19, 89], [0, 44], [3, 61], [1, 51], [3, 68], [1, 45], [15, 90], [4, 50]]; loss = 0.013267 low_pass_filter = 0.300
+Epoch 0: | | 35689/? [6:44:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 35690; scene = ['3a46462f9ca7ac68', '7ba50fca1a2a3d18', 'a791c72122d141c3', '03609245511eb74a', '113a7c672823203b', '48128a0c25ba17b3', 'f29f238654d44358', '9dc164828900c1a5', '7e15d7ac4e6f9d15', 'ab1c5358d3bb05db', 'a7b3b1f8ad45f902', 'a1fb990016d7b3af', '4373673ff80633f6', '9d0bfbe5b7f98545', 'eceaf2fe0853e0ef', 'b833a0a3ddf1f7cd']; context = [[58, 134], [19, 69], [4, 86], [152, 226], [4, 71], [0, 44], [51, 108], [1, 47], [1, 52], [9, 66], [42, 96], [43, 107], [3, 59], [34, 102], [39, 118], [27, 97]]; loss = 0.008138 low_pass_filter = 0.300
+Epoch 0: | | 35699/? [6:44:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 35700; scene = ['2a512828633957b5', '68dfe6f012c000bf', '52ebdccbea335ddb', '160eab244cffa6d4', 'd6d5ca952b430268', '4302f3576310e376', 'c5edd6cf1dbadb8a', '396b616ef6304d90', '27474a9b81b5b915', 'd1eb3b443a0d38b9', '6a1549e061340f9c', '10bbbbe467426d32', 'a0aa269c16aeb3b4', 'ad9a0c2b517fc375', 'bf1277b28c1894f8', 'd2dc639bcb77797f']; context = [[128, 188], [106, 167], [105, 154], [24, 68], [6, 61], [59, 108], [31, 93], [79, 134], [7, 70], [119, 172], [48, 127], [24, 105], [86, 132], [200, 255], [172, 258], [41, 104]]; loss = 0.011453 low_pass_filter = 0.300
+Epoch 0: | | 35709/? [6:44:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.0train step 35710; scene = ['cfecc40203481c0f', '27060266cbd84384', '67dbd6412de4a075', 'eb839322cd90391d', '9cb7498b7af59492', 'b2db9653071d45e0', 'f1b2ca2dd2fb7a03', '53ccd432f245e010', 'e5aaf1079b8dcad4', '4dee72e8e4cd11e4', '3cfbf3c318c83e99', 'aea28cd48904c32e', 'b65c25d66c1d0ed2', 'b0f455601ebb99c2', '8166d544f4be379f', '3bfd555747259551']; context = [[60, 136], [32, 103], [7, 79], [11, 86], [178, 242], [87, 142], [16, 78], [7, 51], [41, 101], [21, 72], [36, 105], [3, 47], [183, 267], [113, 195], [193, 259], [19, 67]]; loss = 0.009518 low_pass_filter = 0.300
+Epoch 0: | | 35719/? [6:44:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 35720; scene = ['c1a6ef665d46399b', '9044f156e5b0eff2', 'c67d163bb0a1e8dc', '318adcd55b71389b', 'a600bc71cd595f32', '9b5a0140c194ead4', '637bdb45beb6fb5a', '9183740bb8b7200c', '820f797585813215', '53eb9bdb6a459713', '79bac043825d673a', '37315f75bfca52ff', '4caaa1b6a8f126d2', 'fd4799119b1fa70a', '4ceaf2a5d2673ec7', 'a19e64e3bb6f9611']; context = [[28, 93], [23, 82], [41, 104], [30, 104], [54, 105], [88, 151], [24, 69], [16, 96], [24, 72], [103, 179], [7, 78], [29, 95], [34, 92], [102, 166], [55, 120], [14, 76]]; loss = 0.012196 low_pass_filter = 0.300
+Epoch 0: | | 35729/? [6:45:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 35730; scene = ['f722d2ef78cc3c1d', 'a80cb16e79664c79', '6434fa7bf139fd26', 'b05542bd675891b7', '12a02be37a8072ca', 'a9700a57783f7991', '56d99f2651c2e40c', '936f945f8fd64928', 'f9e8f78cc34ce09b', '73e4f7d049224183', 'af0aab812d00894e', 'b389cb9c8558ecad', 'c214ca97694b1373', '42bf844c2c30f86a', '5bdfd491073eeefa', 'd95ce46f540c1d9a']; context = [[15, 79], [38, 116], [39, 87], [27, 99], [2, 65], [199, 266], [8, 64], [152, 228], [34, 83], [97, 153], [13, 60], [20, 71], [69, 143], [3, 49], [8, 88], [0, 77]]; loss = 0.010297 low_pass_filter = 0.300
+Epoch 0: | | 35739/? [6:45:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 35740; scene = ['7b8e965c2501d7b0', '7c7f34a2e46e7cef', '266e25d2ef565ac4', 'c18c0da0b86ded93', 'cbf43526fd464b32', 'bb59055db453ff30', '0bdc7f573090746b', '783ad88c8f9c4c7f', '2584b6752147b0be', '2f82f0dbdd752d39', 'd3d44712e9d5a778', '75ac71c654be685e', 'f77be837dba5f992', '3a93a5955496307c', '4b7068f19d61a837', '8a34c9e16476e41c']; context = [[17, 61], [126, 197], [186, 239], [190, 269], [64, 119], [21, 79], [40, 97], [14, 78], [1, 76], [132, 216], [54, 131], [10, 72], [51, 123], [23, 81], [3, 54], [22, 101]]; loss = 0.011567 low_pass_filter = 0.300
+Epoch 0: | | 35749/? [6:45:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 35750; scene = ['dbbc84703e42d174', 'e1730179fd86e4c0', 'b4297c92de82ba23', '5eba0adf88b41a12', '844f5ac80c18d101', '6d26732ef60b81a3', '97c5606fdea6e732', 'd99eaa0cc001ecca', 'a9a85280b420694a', 'af342e32f4c696a7', 'fdc8b395582432f3', '55500b9b8aa934a1', '7a7bcb2dfd3f9ba0', 'fff7d26426284b52', 'e4bc9a168f1a8c90', '418919a8c9bdc66e']; context = [[23, 88], [2, 66], [31, 76], [139, 211], [31, 110], [65, 124], [5, 56], [60, 123], [9, 78], [9, 88], [2, 75], [9, 91], [160, 207], [47, 99], [26, 83], [57, 120]]; loss = 0.009258 low_pass_filter = 0.300
+Epoch 0: | | 35759/? [6:45:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=29.60, train/active_min_children_step=4.0train step 35760; scene = ['62e5da0a11db432d', '0c9600fff7a9cac2', 'ab52c7d99574ef90', '2a79c0dfe1e91741', '0874fdc612948e07', '64178976f7da5eb6', '5c436a85de319930', 'a5f954bc26c30a7f', 'd2aa39c37f5cbd01', 'e04013ff5f9660cf', 'ad7eeba9fe648175', 'c4e5a328c7aabb37', 'ca40a2aa0f26e77b', 'c3df4458afa036f7', 'f22486220c0bc7bb', 'f185dbad017d9454']; context = [[7, 64], [179, 246], [19, 71], [101, 164], [55, 100], [14, 69], [22, 85], [15, 88], [45, 94], [126, 173], [61, 132], [169, 243], [0, 63], [6, 78], [96, 180], [1, 46]]; loss = 0.009854 low_pass_filter = 0.300
+Epoch 0: | | 35769/? [6:45:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 35770; scene = ['c3ff07c86676bdb7', '3909231098c2f263', 'a230308a0397ec12', '443f21df464db8cf', '1626e670755b1d8c', '7225310f01007948', '2b00682d03aed4d2', '2c7822582c375f00', 'e13d24cb77bd5842', '14b4d62a983a3e42', '7a9e2a1db5d0c45b', '45881f9f6f662df4', '57b1333abbaea573', '348e39e72320bf9b', 'aecba92e05f84330', 'e7f820327fa7287a']; context = [[1, 58], [4, 66], [1, 53], [20, 65], [24, 88], [41, 96], [1, 76], [2, 63], [9, 57], [20, 80], [16, 75], [31, 80], [0, 59], [6, 52], [65, 119], [18, 68]]; loss = 0.007398 low_pass_filter = 0.300
+Epoch 0: | | 35779/? [6:45:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 35780; scene = ['5083adb55bf64b25', '56e895c50d5b9c11', 'f7724187a689a6cd', 'df73f901994876d7', '91aec6468e99fde3', '3f6dcca473cdc73c', 'f9819d0fa6976ef4', 'a3c290d59ba3d57e', '227bf499869cf372', 'c1067c28947eb908', '97c0e17033d685ba', 'a6d8c29cc124ba06', 'b7f11264f90f9fdf', 'a8c23400a2bf1eb5', '3ecc9dbeec2451f0', 'ea4e8db997cafe5d']; context = [[44, 120], [168, 237], [4, 66], [24, 90], [15, 63], [0, 55], [18, 65], [34, 80], [7, 68], [32, 111], [142, 208], [4, 73], [0, 47], [2, 74], [42, 100], [204, 253]]; loss = 0.012114 low_pass_filter = 0.300
+Epoch 0: | | 35789/? [6:45:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 35790; scene = ['cdfcbf746dc6b4c9', '754cd13d07884b11', 'aa9826ffca85a2c7', '25470a9bceb93b10', '724165c950c7a80c', 'e647e7c9eec77344', 'af837aff6c95547d', '598222fc1f1693cb', '1f1fb2d3701b0b66', '2b0c90d09a7714a4', 'dcb48174c09c0239', '59962733bce39722', 'e7bc763f52f6d941', 'a1d8ab6deefc971a', '3e07ac19a6be1efd', 'c73d3bd74c1973fe']; context = [[106, 192], [5, 51], [12, 79], [1, 72], [85, 168], [66, 138], [29, 86], [23, 83], [48, 114], [136, 220], [3, 54], [17, 73], [16, 68], [55, 125], [59, 116], [7, 81]]; loss = 0.011108 low_pass_filter = 0.300
+Epoch 0: | | 35799/? [6:45:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 35800; scene = ['a7fc6aa462302a2c', 'e0f69cd2e7872e24', '399f82e1d5fe9d0b', '0265f4ef1936cd41', '7effba62dee38d6e', '05f40d087109422a', '38c98ac3504f0495', 'b0c566c80e48a639', 'cc200a8068fda759', '4aabcd4c5ff2ad5b', '15e03aa7fa32ad9a', '5a56b4c24535945f', 'c5a9ebcbe1f673b3', '6ae12d32b5ba6faa', 'b5d2093fdb76e3ad', 'be90dc239f33af9f']; context = [[61, 127], [2, 79], [2, 55], [32, 89], [1, 56], [17, 79], [52, 116], [162, 216], [17, 77], [5, 54], [70, 144], [1, 45], [44, 92], [5, 55], [0, 50], [9, 64]]; loss = 0.009302 low_pass_filter = 0.300
+Epoch 0: | | 35809/? [6:45:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 35810; scene = ['1a90aae528bfbf17', '84e4301303b9ce99', '164156530d3be634', '9832efd4fc5ef172', '20805b89fea12b16', 'bdace396e50a0af2', '0e6b54a45061ff27', '0d3951ef69a23501', '8391a6010bf08e1b', 'd7fa6d0a01a9bcbb', '7615cbc4ef6c7051', '31dfc1a39af4a4a7', 'abf815282a504388', '04d0c305125298fc', '9bc40f9c925f676b', 'a1c6682918d86006']; context = [[86, 135], [11, 92], [136, 185], [36, 123], [145, 213], [41, 89], [78, 134], [23, 75], [18, 103], [6, 70], [39, 90], [0, 84], [12, 69], [86, 163], [59, 123], [28, 90]]; loss = 0.008519 low_pass_filter = 0.300
+Epoch 0: | | 35819/? [6:46:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.0train step 35820; scene = ['03a346966d45a7f8', '3b8a0737368f9f1c', '596cd047a1dfd450', '615cd9e7f782afcd', 'dad1cefd696020b9', '490000fdd9e46476', '6df9f1b8d7da72d9', 'd0bb62a1775b5dab', 'f4077924d862e6d9', '4d08f6508693b522', 'fc149c075035ff5e', '7bcc6fac9d4dac2d', '2c46c889a72102d4', '3a64dab609df8d4f', '356f8e682d74a0b7', '99b6755f0d52ecec']; context = [[81, 168], [2, 49], [11, 57], [1, 58], [64, 125], [102, 149], [49, 124], [15, 91], [5, 90], [188, 264], [34, 83], [10, 95], [19, 64], [17, 65], [37, 118], [10, 57]]; loss = 0.014463 low_pass_filter = 0.300
+Epoch 0: | | 35829/? [6:46:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 35830; scene = ['8c8d275be1d9c9c1', '27c1a03e4474dec9', 'e5b3c987f0c0c044', 'df3d9e0d9c57b60e', 'c49c716e0257136d', '85cd5c3b6ecf03fc', '9bf893735e9b1ab8', '96ce3e617124a934', 'f1a81e9c8264e5a2', '209a86f54836420b', '2e0974f13b85cce8', 'c708707156f0d454', 'de61efbee4c2b1cd', 'd29ac5d4f2c01cd8', '4e42a798152f2381', '10932c00957d5ec3']; context = [[2, 47], [206, 253], [24, 82], [0, 56], [4, 60], [18, 71], [6, 63], [72, 149], [24, 86], [4, 89], [29, 115], [16, 98], [232, 278], [69, 120], [43, 89], [7, 58]]; loss = 0.012565 low_pass_filter = 0.300
+Epoch 0: | | 35839/? [6:46:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 35840; scene = ['bbde6840d9d8b008', 'a597e94e50eb917a', '0e4916077d990d1e', 'e42929a5ac81d253', 'b2c001dd5cabd4b6', '15e466706ad7d02e', '7ae6a1236289d804', 'e038d189e5f90616', '8fef8355485fa6c9', '0e57fd444b2125fc', '2b367141f46053de', 'e74a91bc68f270e8', 'c321b34839b61119', '94f12948c13a9141', '2c95162efdfb9d47', '465b88993612ba45']; context = [[6, 59], [88, 160], [1, 47], [9, 90], [18, 68], [176, 238], [18, 94], [53, 138], [178, 233], [67, 111], [10, 62], [121, 170], [85, 148], [1, 46], [11, 73], [5, 79]]; loss = 0.009273 low_pass_filter = 0.300
+Epoch 0: | | 35849/? [6:46:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 35850; scene = ['00210fcc783d3fcf', '1ccc8946d683d79c', '97d48083a9c554ef', 'c0de137715b6bcb4', 'c2d56785690fef5c', '29afe36e4ba597f5', '02ae101d68a2304b', '33bf51a57dd21baf', '9d4bb6a040f3e82f', 'bc29873beb100836', '67ec892c9487534d', 'fac84877f62bf4ac', '3a31ed789296ce91', '752a9ba05152ec94', '72e02bab04fb8c64', 'dc74defbc8c8d054']; context = [[51, 107], [7, 88], [0, 64], [126, 190], [82, 159], [6, 69], [36, 122], [39, 95], [164, 237], [14, 74], [15, 99], [0, 44], [154, 200], [64, 141], [24, 69], [31, 97]]; loss = 0.011294 low_pass_filter = 0.300
+Epoch 0: | | 35859/? [6:46:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 35860; scene = ['1042daa8f8fd2955', '181157826ea13ab5', '658d5216501736d5', 'c1b5b7779a98027d', '39e8cbb0f678f5e3', '5c140178a8c1b76e', '864d89232a34ffcd', '7fe66601858b37dd', '63cedce5caa10d40', 'bf48f07f09565e35', 'd4f9b7f5a436bc5e', 'a13d8d996ab50fd7', 'fccff2648cce2404', '89264e76e0901fb9', '4bd1181d3d5cbe49', '9927ea6cefc6d3ce']; context = [[5, 82], [2, 87], [22, 107], [150, 223], [31, 101], [37, 90], [33, 93], [10, 89], [1, 67], [144, 198], [129, 215], [46, 112], [44, 106], [92, 179], [72, 126], [38, 120]]; loss = 0.009423 low_pass_filter = 0.300
+Epoch 0: | | 35869/? [6:46:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 35870; scene = ['dc0a77ee6fa4c0f0', '5c1937db8b78c42e', '122e310820d211d0', '5f77aafef38661ba', 'e4a9575f7748ca3b', '4c3576f81d93a544', 'e6fec1b42f3417ac', '5da080609ee10144', '7e8be15607bda439', '791aa6312f1d31bc', 'a177d2fe364ccb70', '0bd967e2f1a3f976', 'cbc5079a5e106cf9', 'd140ca9a916f2329', '8640afafbab041ca', '14aa189c37e06bf8']; context = [[213, 257], [109, 192], [4, 52], [24, 78], [8, 58], [72, 123], [93, 151], [4, 73], [7, 74], [17, 83], [112, 188], [72, 140], [20, 105], [29, 84], [78, 133], [42, 94]]; loss = 0.010878 low_pass_filter = 0.300
+Epoch 0: | | 35879/? [6:46:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 35880; scene = ['37fa7a24e4b88b80', 'b03878b42d60c85c', 'd41ac9d42f8da42d', '89dde5e967d0d27b', 'ed83ccffccff011a', '24ebb1ba1415dec7', '1bbd97bb351008ec', 'eeb4a4c68a41a6c5', 'fb905d6d129804cd', 'b27bddaf7c71a0e6', 'c59210f96ab4a776', 'b16cebdce42a2fb6', '0e3abfaa2fbc0e2a', '95346eef8181be12', '935f59ff87fa3b62', '2bd2e8dedeb44254']; context = [[18, 74], [132, 176], [40, 122], [19, 99], [23, 67], [1, 78], [78, 139], [22, 71], [1, 58], [81, 130], [6, 63], [33, 89], [18, 89], [6, 61], [2, 76], [6, 78]]; loss = 0.009512 low_pass_filter = 0.300
+Epoch 0: | | 35889/? [6:46:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 35890; scene = ['b266226a3d237e80', 'af94d397bb39a345', 'cb089fc0fae599b5', '99174ac47256f0e0', 'f5f5c6090e031091', '37053ecd72a3c47d', '4212b51144518ed4', '493047f10d617f3c', 'db139805c0d52235', '8742bd2ab32b9163', 'ddc6e8abed84d947', '202e6eee20bdcddf', '9c023f327ece2911', '243515e0bc44ae29', '0c6abcc734bb3112', '33d38bd50acba191']; context = [[67, 151], [90, 148], [6, 50], [15, 74], [6, 52], [153, 224], [26, 71], [18, 79], [224, 276], [1, 55], [140, 186], [39, 96], [9, 69], [1, 47], [0, 57], [4, 75]]; loss = 0.008685 low_pass_filter = 0.300
+Epoch 0: | | 35899/? [6:46:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 35900; scene = ['6c624d9684bc26ab', '6989116a3baf6c4c', '9497ed29cc566c99', '54090f0d79c2d5d6', 'ccc8fb6694c05156', 'cdec7dff152cc880', 'af57a1f0c29eaaea', 'a60e746c2f928b89', '49933df694f4108f', '96ed5a8b0dcc572c', 'a6206fb1dd702d53', '5b9e7f0865190eda', 'ffe814d6a265f8b5', 'ecb14f7f19f960b9', '6224f61fe042e117', 'cf7f50d31a60d2c7']; context = [[146, 216], [44, 116], [99, 175], [16, 66], [63, 138], [27, 79], [38, 113], [40, 91], [33, 83], [54, 135], [43, 95], [58, 120], [32, 94], [25, 88], [19, 88], [9, 73]]; loss = 0.009800 low_pass_filter = 0.300
+Epoch 0: | | 35909/? [6:47:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 35910; scene = ['984fcd3c7c0ddeb1', '8e511bd9c1d35a91', 'b49b695f253edbda', '9b34d768bb3ff6c5', 'dcf8835ddbd28de7', 'bc84a3e1d55aa887', '9d7d3ab47fc3f5ca', '39fde4cbf205e075', '51a1ab321c659ced', '5e22c9e85225ce9d', '7a6ea676693b1471', 'b519397ffd947056', 'b8c4f3337fbd630e', '786d7805ee6f3ad4', 'a76ec83c9984d4cd', 'a2272a447c64f48b']; context = [[20, 102], [30, 84], [88, 132], [160, 239], [0, 72], [128, 192], [0, 46], [18, 65], [16, 67], [71, 140], [69, 155], [48, 100], [166, 218], [197, 243], [15, 92], [49, 109]]; loss = 0.009230 low_pass_filter = 0.300
+Epoch 0: | | 35919/? [6:47:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 35920; scene = ['f4b33046e5e861be', '4493703fe092af76', '41bb935fd41a83f3', '086693a3a20d1b5b', '2374d19235735123', '51a223205e679433', '70b9a8bbe078c68e', '9a07a530f39c448e', 'ba05fda6ed12c480', 'f6e026f2b7659d57', '6f594681417977fa', '47de57e6b64b83ca', 'e96565d38ad407a1', '66967fa4bf26f8ec', 'cbc58d25231ba015', '89e458eaccf5b7d1']; context = [[0, 45], [115, 183], [0, 49], [38, 85], [146, 216], [1, 50], [55, 129], [98, 180], [4, 71], [92, 165], [29, 115], [80, 134], [3, 90], [72, 121], [43, 121], [18, 102]]; loss = 0.016837 low_pass_filter = 0.300
+Epoch 0: | | 35929/? [6:47:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 35930; scene = ['f0a4a4cb065efa53', 'bde49071d2088850', 'd823f528acb278ae', 'cd1d18dfeb3ffea6', '2793fb40fde74ed1', 'dfb8f1b208a8949f', '39343936591c28de', 'd33a9e90e1416efb', '9e3a42fbf9b526a0', 'c44a4c1c3e9b3cc3', '65c4746a5f0a43b7', '3ddb7ef38f509da8', '0db36affa33787b3', '77ca6725a5e07bce', '11deb50de71ac927', '796ab6cfb1192ac9']; context = [[6, 93], [66, 151], [28, 92], [159, 230], [101, 151], [25, 102], [37, 100], [10, 91], [11, 69], [8, 92], [40, 92], [107, 180], [1, 69], [4, 83], [16, 77], [1, 77]]; loss = 0.009922 low_pass_filter = 0.300
+Epoch 0: | | 35939/? [6:47:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 35940; scene = ['ced9eaec2af72a37', 'ceed1e10887c0225', '5cfa9a2995f6c3e5', '8b634dd80fe44d1d', '31177e3090079870', '8dcb65a86df04796', '2e3fba29b0ef9eb8', '90c5b3052fd20e29', '9e16686cff67cab1', 'f7fc315b2c2ab371', '4ca19f3a5dea6391', '13e3f8416df0e4a5', '806963c2d53faf94', '824a064f8ab1cf0a', '81954eeb7c50183d', '9055041789f01a42']; context = [[17, 64], [101, 177], [134, 200], [72, 149], [111, 182], [8, 87], [0, 80], [83, 152], [5, 84], [42, 92], [3, 60], [2, 70], [64, 113], [7, 73], [0, 53], [6, 51]]; loss = 0.012642 low_pass_filter = 0.300
+Epoch 0: | | 35949/? [6:47:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.0train step 35950; scene = ['a94ad7b39b578fe9', 'f0bfe9cc42e2763a', '1e51247de1592f1c', 'e47992e97ffcaf72', '89249dc2d50d30ea', '3e38e5ffccf5c421', '6f94d91f9e5d4a67', '2f381854e846a25f', '7fdfadceb9992370', '4f9cb8e2891d1d08', '6870462a6b42954c', '5eccf201ce72082f', '1d29e9eff21f8a0d', '0131e5970bec6351', '909a19af70ca780e', '094eb6b625d8c18d']; context = [[13, 95], [10, 75], [195, 254], [10, 85], [5, 85], [12, 87], [35, 95], [36, 81], [57, 106], [2, 64], [16, 82], [58, 102], [21, 69], [61, 112], [29, 82], [49, 131]]; loss = 0.013462 low_pass_filter = 0.300
+Epoch 0: | | 35959/? [6:47:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 35960; scene = ['9147af809fdbd541', 'cd6004a198ec5ce7', '6b73871e384a0f75', '26a19d5d4d76f83d', '87f309174a1f7823', '9b5e2c34608774a6', '172007be3056a5e3', '2fd3ab234cb54924', '07c64edb9013c25f', 'b71b7a98725ee285', '4582335434b7952d', 'e138102f24941ff6', '0405ecc0682e736c', '9809a08ae37cd257', '0fb65ec00dd3aee0', '5d61d97c6b81dcf9']; context = [[3, 55], [1, 45], [88, 135], [28, 98], [92, 166], [10, 86], [138, 189], [0, 70], [14, 89], [224, 273], [43, 124], [0, 62], [8, 67], [59, 126], [57, 112], [20, 92]]; loss = 0.010858 low_pass_filter = 0.300
+Epoch 0: | | 35969/? [6:47:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 35970; scene = ['9ab83ba6f3dee716', '917be2bd3c7a28d7', '8e704b8171b2dd7c', 'e5db691627ea5357', '842edd33637dfc83', '6e0446b32be39b1f', 'e93f2d8e5c3e2da3', '5c4442779124ec3d', 'c84c4db184037309', '878a9cd31f4ad9f6', '9a80121d71258b41', '210ab3c1a9d655e5', '86badfef4fc36bed', '7d597cedae289ee8', '319bd9ea90f25ea3', 'c6246a94432e00c6']; context = [[22, 78], [64, 148], [1, 55], [14, 70], [14, 65], [20, 69], [24, 88], [74, 160], [0, 48], [37, 103], [31, 90], [116, 166], [0, 80], [12, 57], [49, 122], [1, 47]]; loss = 0.009813 low_pass_filter = 0.300
+Epoch 0: | | 35979/? [6:47:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 35980; scene = ['cab8dd14f2f78abf', 'b117f9d8522f755b', 'e384be9c2c62cf97', '06402de34cae0625', '15b1b5f770c5a68d', '7c8c847eb8e72183', '73ea7bf916d4cf54', 'cce19f034d7e4c4d', 'a29879173eef0f0b', 'af341801d7396214', '935620b6d95b7e07', 'ad041efb80fd1e04', '1971c9e877bd61a7', 'e398b6b9b1e85cfa', 'bd1365b08ac111c9', '3d58488ee95d8166']; context = [[0, 84], [22, 100], [27, 73], [2, 68], [0, 66], [182, 264], [6, 81], [14, 70], [28, 74], [7, 55], [6, 61], [11, 61], [10, 61], [31, 75], [7, 67], [65, 132]]; loss = 0.013907 low_pass_filter = 0.300
+Epoch 0: | | 35989/? [6:47:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 35990; scene = ['e72cb26fba0596df', '5a2613c4e0967be4', '2279dde65e35a5a3', 'ddfa8d6604f845bb', 'dedd2069b0d6eb9c', '1d73b17a7d797570', '853cea5a9bef7465', '9dc96e2d658c29a6', '032522f3b8efd159', 'c9442f9e9ba380a9', 'ec9fb1bb662b94f9', 'fd313850c5fc2620', '5a9fae3ad84308a9', 'abc78476b3ad43b2', '59f90e73aecf538b', '2ee31a7780c9ba67']; context = [[28, 106], [5, 70], [31, 86], [1, 53], [63, 126], [107, 158], [0, 62], [44, 128], [94, 166], [71, 121], [54, 105], [26, 106], [106, 190], [6, 50], [13, 97], [1, 57]]; loss = 0.012886 low_pass_filter = 0.300
+Epoch 0: | | 35999/? [6:48:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 36000; scene = ['35cb6d1706d23123', '97caecafbfa7f1f6', '4993c13bd0a11f24', '265941bdd185f866', 'a95dacbd3ea3db36', '2c13034bacfe93b5', '6a644d71d717c6a7', 'c83c353973bfa41d', 'c63b37ec347f0d0e', '944e92ff3fea78eb', '175e1611df44964f', 'ea97e5ae55e56208', 'b84cce034b55e1e4', '52cf0ad63b78dd22', '5507d4e82ddb2357', 'bbf8fe89da545493']; context = [[47, 102], [22, 75], [24, 69], [15, 74], [35, 110], [27, 83], [0, 55], [38, 106], [3, 89], [14, 58], [68, 142], [0, 67], [24, 68], [50, 101], [4, 62], [7, 60]]; loss = 0.008077 low_pass_filter = 0.300
+Epoch 0: | | 36000/? [6:48:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0validation step 36000; scene = ['13fcc228c40a0e67']; context = [[20, 94]]
+Epoch 0: | | 36009/? [6:48:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 36010; scene = ['c1001ec26226f680', 'f714c6902cd954db', 'f3126c981b4e4874', 'eee96125b14b7aab', '08169229c028aebc', 'a168b9cb83649c5d', '922b312f1b2be5fe', '78f0f0a2f3f8b486', 'b291bb89ef01171f', '32ad7c3746d46b89', 'e76755f44544aff2', '18ce3419dd7cdf4b', 'c613d873321c87c0', 'b963ab9d26b8da09', '53c0505255ce7322', '6e6fcfeacf855c0a']; context = [[78, 146], [9, 67], [103, 157], [2, 85], [6, 68], [100, 167], [130, 175], [103, 156], [34, 118], [0, 51], [131, 205], [4, 48], [6, 55], [5, 79], [53, 130], [20, 98]]; loss = 0.012609 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 36019/? [6:48:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 36020; scene = ['89155a0d7d817b53', '0653c0585c65ef9b', '9f710f017b023a0f', '4de68fe45f2cf8da', '7523be2bd95f683b', 'b19972ab772a18f4', '6b643ea7fd9a47f2', 'f30c1287b499b59f', 'afcf166d35c344b9', '01fd1eb6cc528bf4', '7e5067f243e163c2', '32980d0390e9d273', '36cba4fb28af5f41', 'b480e474281f5335', 'a65f2600585e4c08', '9ce71811d7ef9514']; context = [[13, 76], [63, 138], [58, 117], [141, 195], [19, 86], [23, 87], [41, 86], [122, 191], [17, 73], [5, 78], [49, 97], [114, 158], [16, 86], [17, 82], [40, 111], [86, 167]]; loss = 0.011713 low_pass_filter = 0.300
+Epoch 0: | | 36029/? [6:48:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 36030; scene = ['63bbba3201fdf639', '950f50eb20e0b656', '82d49340adc62a9e', '3d8df97f0ddd375e', 'beae259803b77e1f', 'a348e7e5d35e62d4', '8dd9982d07e06ad9', '9e7127fac4cd1710', 'e63f5cc478795d64', 'cb9af04471339189', 'e3163ed6369a0cc5', 'c29d5f58f66a9102', '61e3f2a90af611b2', '2e42cb5881b4a406', '3354fd1e4ed18583', '3421821e39949234']; context = [[52, 120], [53, 133], [160, 245], [3, 79], [31, 104], [107, 163], [5, 83], [101, 180], [10, 56], [133, 199], [45, 90], [17, 99], [40, 84], [198, 271], [29, 88], [26, 70]]; loss = 0.013148 low_pass_filter = 0.300
+Epoch 0: | | 36039/? [6:48:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 36040; scene = ['951d3d3360153a68', 'be4f1d3a9081ec93', '8ed5a86dea1245cf', '969eae779f4745e5', '4fc52f6aeecd8f82', '88f7bc47eab8af52', 'aa1601b3c7e10e3e', '63acaadeb84a31af', '622a0d2554fc5402', '6c5e37d3a0fe6230', '26982d1d02e9afff', '0f6f85f900c47557', '014f71bd22de9f37', 'afe08596b2895950', 'b80b9aba988d63cf', '1756b54fd79326f2']; context = [[154, 201], [125, 169], [135, 196], [0, 68], [27, 92], [0, 69], [4, 80], [14, 97], [12, 99], [24, 104], [22, 85], [2, 46], [161, 217], [52, 123], [83, 170], [21, 102]]; loss = 0.009492 low_pass_filter = 0.300
+Epoch 0: | | 36049/? [6:48:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 36050; scene = ['a89d49837b7303c5', '5e924b8c9d7abf31', 'e58f27f45d7cce3a', 'd02f8cad1ec64f2c', 'e432d8c790cca366', '7e8beb820f189792', '583ab14553881ee8', '934f1135995ecbd1', '4c6e0eafc2e6c7ff', 'b6d96ca117b8b380', '23c0e70db47f9263', '1c1586cb9ecfc575', 'af219727b1aece30', 'c3ed60b37d9cc075', '59169909a46a7498', '99cc6ca43546208b']; context = [[160, 210], [45, 126], [24, 80], [40, 113], [15, 60], [30, 75], [1, 88], [29, 73], [66, 140], [66, 141], [8, 64], [0, 62], [12, 64], [2, 67], [143, 212], [27, 76]]; loss = 0.011621 low_pass_filter = 0.300
+Epoch 0: | | 36059/? [6:48:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 36060; scene = ['6d71b3b243c17a2a', '2de3d943aa0bf9e4', '98d868340d6c40cd', 'cee9068dad0a241f', 'dccf91e2bca52097', '267723fe1f811072', '0820210cf29ef425', 'e88232bf59271bc5', 'afb2780ec2449b62', 'adf6f584f6b81a71', '8f243590d88e28db', '34bd9723166c9978', 'ccb0540f2d49483c', '8839e65c6f6bb394', '68303c5bb3b62706', '6de43fea1f9cef11']; context = [[10, 90], [19, 84], [5, 69], [29, 86], [119, 170], [2, 76], [6, 54], [89, 133], [22, 69], [10, 70], [45, 111], [2, 82], [105, 172], [36, 83], [35, 80], [54, 131]]; loss = 0.008742 low_pass_filter = 0.300
+Epoch 0: | | 36069/? [6:48:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 36070; scene = ['b96769dd3eb7eb26', '5d8db238847b32d0', '3be459c1e06d17b6', 'eb5abfd252e9e5de', '6331b95bb2f8f587', '950cad2bcc09d5ff', 'bebb100714c996bb', '185f52423e3db8b6', '61deee6e086b0b4f', 'bee0ba753ec13d46', '432412e05ac309ba', 'bc6e849f31caa3c4', 'ef5ccaf64380143a', 'e44bfee2e76cc905', '1f2dc52e984a8009', '159a472b24f1c395']; context = [[1, 73], [24, 99], [15, 98], [211, 258], [5, 51], [14, 75], [38, 83], [151, 204], [146, 208], [1, 78], [31, 83], [0, 74], [115, 184], [188, 267], [7, 83], [10, 68]]; loss = 0.014467 low_pass_filter = 0.300
+Epoch 0: | | 36079/? [6:48:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 36080; scene = ['400de93f07b31ef9', 'ccc911bfc1da5add', 'e13c05a47e3ccd91', '3294d351159f7f8a', '7e35fff1a63d375b', '46ce7490a1d4098a', '18ea0f573a5be31b', '6e5c796fcf4536da', 'e0be076bbc19ccf4', '72fe1f7792f18024', 'cf28c4553759a3d3', '3107f55855aaac8e', '0d647f8c15b77aff', '132b518d21ec0496', '7715cf124575870d', '87d6f3be9dc23e27']; context = [[41, 119], [108, 186], [71, 118], [52, 120], [3, 66], [0, 49], [0, 59], [16, 103], [44, 101], [0, 44], [36, 105], [22, 71], [17, 84], [27, 73], [153, 232], [1, 82]]; loss = 0.010334 low_pass_filter = 0.300
+Epoch 0: | | 36089/? [6:49:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 36090; scene = ['dc7a324e7e3e0c21', '1cb7aee79f67faf8', '9127991e1bcbc9c9', 'dda1c2d4bd25e6f1', '66a079896a5f5de0', 'e17be9060afc6084', '97e72d8bd82aa998', '2a36ed883b16e48e', '627d2275dda31d2e', '9d04b522ad2fcf26', 'd08843a89e7375a6', '01e56cb442a2cb05', '554eec4e62ff08ff', 'a91564894324256d', '0f81cd5e8b04bc00', 'b393264d3027ec89']; context = [[25, 84], [88, 143], [54, 102], [5, 65], [4, 53], [63, 145], [4, 66], [110, 187], [9, 63], [22, 93], [3, 75], [97, 155], [3, 78], [7, 59], [4, 51], [35, 85]]; loss = 0.013035 low_pass_filter = 0.300
+Epoch 0: | | 36099/? [6:49:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 36100; scene = ['02b3569a04d42b1e', 'c0d7c010544c5256', '3c2046c344fb8daa', 'ab9bdef51c74535a', '0b9517e1c9fa61dd', '8b09c84f1ccbb970', '409f79107bf87d9a', 'a8b64d6025627de2', 'bf19e55e5dbb42fa', '85719f352ee0c48f', 'b30db99f009bdb92', 'd244e00302839aa1', 'eff77869db95b3f3', '094d184557fa6d67', '8e14947cbe7ba7b0', 'bdc8166f45caee7f']; context = [[125, 192], [20, 74], [0, 71], [24, 108], [0, 75], [7, 93], [17, 88], [11, 76], [43, 125], [14, 101], [17, 63], [46, 123], [3, 84], [10, 85], [99, 150], [100, 185]]; loss = 0.011765 low_pass_filter = 0.300
+Epoch 0: | | 36109/? [6:49:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.40, train/active_min_children_step=4.0train step 36110; scene = ['00c14c53270e07a6', 'a464ead502832cec', '2cbca2c38b796af8', '063dc505e73135af', 'f6ec5537c276e88d', '69b8747c662bc454', 'e9d11d18a0abff33', '592f02d9a81deedc', 'eed1f22c71b845b1', '67f5335d95ac7bbf', '9de7790c7be4dc5b', '9837661a38ea63e5', 'c01ce746e8786ee6', '92362c407ae31300', '51b622049a721290', '23132b7df2da8457']; context = [[12, 64], [70, 154], [3, 55], [82, 155], [4, 51], [68, 123], [18, 75], [8, 59], [8, 92], [42, 87], [37, 118], [20, 85], [21, 91], [3, 49], [20, 79], [115, 170]]; loss = 0.010679 low_pass_filter = 0.300
+Epoch 0: | | 36119/? [6:49:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 36120; scene = ['fb48f63887be7bd6', '90b6257c05fc6122', '4c598393eb534746', 'c38aa88da18441bd', '030e840a3568e0b6', '5fc68d2deb258a0f', 'f18f14afd3c487e3', '07d8eb8dbe12d00f', '3e07007116856015', 'b4552394fff24c7b', '9a45995c95b9df54', 'a64bc1a231c44593', '359f5288f9335f3c', '9e59ae705591e046', '98fb604e2b221457', '1e90fef135df3208']; context = [[17, 66], [2, 54], [24, 79], [2, 73], [55, 137], [26, 72], [16, 68], [46, 97], [3, 51], [4, 61], [164, 209], [73, 141], [10, 92], [36, 108], [0, 50], [53, 117]]; loss = 0.014113 low_pass_filter = 0.300
+Epoch 0: | | 36129/? [6:49:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 36130; scene = ['55ef7e7acbe84587', 'e83f9a06c24e0a28', '615d5da2368e312c', '56ce9c5595c74ce5', 'c544ed479973807f', 'c19be054a8a456f5', '5a661bc2c6c62f59', '93f64e2b3f286f45', 'e3e1426981836ca9', '46b6815db9c390d6', 'eb0ab00754559fc2', 'f16e17b3760c6621', '8d1c21696859cfa4', '57f08b58536b695d', '549110453313554f', 'ed8d1829b15314e6']; context = [[27, 88], [86, 173], [60, 120], [11, 56], [14, 79], [31, 98], [127, 180], [60, 110], [14, 95], [3, 49], [30, 104], [12, 81], [0, 71], [2, 64], [101, 155], [100, 152]]; loss = 0.011401 low_pass_filter = 0.300
+Epoch 0: | | 36139/? [6:49:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 36140; scene = ['f57a64d5f2d93f5c', '5e751b977a518faa', '7c5db86d341e9176', '55ef33fd3e85686f', '2572c333fdc8f033', 'cd3c99af3e6f1291', '230edada2d0a679f', '7d70798a0178383e', '061e2dfaf96677fb', 'c9a41c071845a38a', '86c8c9b0a6200b4a', 'cc095b6f7aaeff1f', '54dd2fecd7c5469f', '1ff50e90731cd85d', '6bbc8e2718708902', '5c6eb6a2caa8b53c']; context = [[1, 80], [64, 120], [3, 47], [0, 44], [68, 145], [40, 101], [10, 64], [21, 87], [51, 95], [21, 67], [14, 96], [4, 58], [8, 54], [64, 147], [1, 57], [5, 64]]; loss = 0.013198 low_pass_filter = 0.300
+Epoch 0: | | 36149/? [6:49:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36150; scene = ['24e2bd161b660401', '1197bc73c78246d6', '6505aa5e0c26571a', 'e8185a3649c3de14', '5a0599afb3968bf7', 'd3df0f83d9d67aee', 'd44505ec46c78195', 'a88722d900d57a48', 'd6f4a941a42c6eac', '3b64aa64e8f04465', 'a6bb57de6591fc6a', '82ac4e44bae63290', '3a956584819acc7f', '7980d31b18da69a2', '56f87edb135ccf36', 'e34083fb85b25acb']; context = [[83, 140], [43, 119], [12, 69], [1, 63], [149, 232], [5, 63], [2, 46], [89, 174], [1, 83], [3, 57], [150, 231], [22, 87], [31, 110], [9, 55], [0, 48], [32, 114]]; loss = 0.010670 low_pass_filter = 0.300
+Epoch 0: | | 36159/? [6:49:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 36160; scene = ['da6bfbd9e35142fc', 'f7bb1f4325835c79', '2dce89a97b7df3f4', '97b724d2bcdba3ca', '4c6983bd3211792d', 'b3019d4573e524f7', '4a756a58d9ec5d9e', 'bf171a0b8ca0c7a8', 'e9bf2976170647a5', '7af404ed5bc4ae26', '5edf50794aa6642b', '60d3394314e4efd9', '5a66511ac6a1087b', 'fa2dd55d59f24505', '163e2dae752f2e08', 'e919055f68a731c2']; context = [[91, 164], [4, 53], [105, 187], [96, 152], [27, 109], [6, 77], [0, 51], [4, 69], [8, 77], [19, 93], [86, 152], [44, 111], [30, 77], [6, 63], [24, 106], [9, 85]]; loss = 0.011187 low_pass_filter = 0.300
+Epoch 0: | | 36169/? [6:49:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36170; scene = ['c0377f906e517cf0', '863f3e91a241f8e0', '7bddc26793e9e69b', '6ab6e123d49043d9', 'e72cb89e98c183b3', '873e1ebab2825e24', '2499e40d728ff8d1', '4f7381df99227904', '8694a025d8c18e3c', '18cd6ab71c2fbe6c', '97e0f30c6b35264b', 'd3f720cb5f3a67a6', '60d296908f43a97a', '5d9068d775dc5831', 'b2288bf7003d5d4d', '7600a735405a9ed4']; context = [[3, 76], [8, 72], [94, 140], [132, 190], [1, 58], [17, 89], [3, 75], [0, 76], [8, 80], [1, 59], [19, 88], [149, 207], [1, 78], [5, 73], [89, 164], [6, 75]]; loss = 0.008875 low_pass_filter = 0.300
+Epoch 0: | | 36179/? [6:50:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 36180; scene = ['fbc71f6f2c124f9d', 'f7766ab4365bd6fa', '7353c2be5dcb6491', 'dd51e3825fb8400a', 'eba9df5e18faae55', 'a03503eb22f64a17', '8032cb2f4ac9e342', 'e31486facd91f4f5', '2abb97f6db84d481', 'adff1244e7025d77', '014d6d0fdfb6393e', '4daf1a5b162d8f4f', 'eb5d599c32500465', 'e46623a7d46b50d6', '723db63d24c84d1d', 'dd524a4305e778c8']; context = [[25, 76], [180, 234], [112, 170], [14, 99], [218, 267], [0, 55], [58, 116], [28, 82], [5, 90], [39, 117], [12, 91], [5, 57], [68, 129], [62, 131], [10, 74], [16, 81]]; loss = 0.011282 low_pass_filter = 0.300
+Epoch 0: | | 36189/? [6:50:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 36190; scene = ['b684311d3a0d4ac7', 'ad77f8fb87b70854', 'c30ceef53fe9f55c', '4881f7066e1c8c91', 'aed476777893fd8e', '8b279470a2039dc8', '9fbb249fd2eaba0d', 'bddf4d4f01a3de36', '5d78805f2591dc3b', '2f38e23c9af5b565', '816ab726dadb8795', '7c966a0b88e1d331', 'a2fb92cb976a8506', '83f9feb3fbd8b37d', '6da69e059ba7030b', 'fd752f8c7d7c9d49']; context = [[188, 241], [8, 90], [125, 198], [3, 52], [68, 116], [68, 148], [17, 63], [22, 93], [38, 87], [4, 75], [132, 181], [87, 146], [57, 107], [23, 74], [120, 171], [18, 78]]; loss = 0.010948 low_pass_filter = 0.300
+Epoch 0: | | 36199/? [6:50:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 36200; scene = ['f9a7b128f1a9a805', 'eca127496e1660ea', '4ef16baa6ba6b711', '59ff88a8a2aab514', 'f73370843951ee8e', 'ec3ac5aa298bf2e8', 'fb580b898c3b2276', 'e6385bd0566efde9', 'daaeb71d64ccaa12', '752b39e94e479822', '28a0169072657579', 'f9e17273b3868fe4', '8eea2b468ffe64ab', 'c600946013eb81ff', '46d14b9847efb5fa', 'aa748d40f93fa255']; context = [[1, 63], [27, 92], [6, 58], [95, 140], [59, 116], [110, 195], [2, 71], [36, 80], [0, 74], [87, 164], [9, 54], [15, 98], [22, 107], [85, 166], [1, 48], [4, 87]]; loss = 0.009173 low_pass_filter = 0.300
+Epoch 0: | | 36209/? [6:50:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 36210; scene = ['2ad704f011637e4b', '2fad8eea9cc3616f', 'c8d9b5cf9ebb5419', 'becad6404d25b312', 'e0960e2867fbec8a', '3e97a9d8a39cda43', 'a074c7e52538fe27', 'ab040c86608fb8cd', '7340966e764f81b0', 'f8432adea5a40169', '03f7460f8917b6d5', 'bf8bccba0669c23d', '55fb1bb001195c2e', 'f8ca559f76485ab5', '6495cc99c12835d0', 'aa0340ace90055e5']; context = [[2, 51], [93, 153], [71, 133], [23, 106], [62, 106], [2, 71], [7, 80], [57, 126], [0, 62], [113, 164], [93, 147], [39, 120], [8, 92], [34, 96], [121, 208], [30, 97]]; loss = 0.010581 low_pass_filter = 0.300
+Epoch 0: | | 36219/? [6:50:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 36220; scene = ['fcb068262633d1ff', '37f6bbd4189854d1', 'e60adb5552568000', '611e03caccdbfcb2', '7aa5bdc88df3e9ac', '7f8ef9cdb57ba705', 'bdfbd3a1900ffa5b', 'b016abe18b320165', 'bd4792b492ef6ce2', '037e425a971919a5', '0f5d277d4ad38a21', 'f3824daeea5f53ac', '6b083a9908dfc5b2', '3d66f70770dd1608', 'bd923a02cc463d15', 'f529fc8ad3a25e7a']; context = [[81, 157], [39, 93], [31, 89], [10, 69], [30, 103], [16, 76], [1, 68], [3, 77], [99, 156], [13, 69], [91, 173], [33, 96], [0, 78], [6, 68], [59, 103], [151, 195]]; loss = 0.011100 low_pass_filter = 0.300
+Epoch 0: | | 36229/? [6:50:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 36230; scene = ['dcfbbd4796e0d887', '22d8382cf0164976', 'ac04b9c416792d26', '4b6452c634b79f57', 'fc15fd0a7d1bd1b2', '082ba86063ee7e6f', 'bf9a4b1f7627c273', '0c30cc66e004912a', '41868518745c4b75', '4780bc2c45a43a89', 'a6d963c1f7142aa5', '4617ef7936485ffa', 'c5536f755d325407', 'c54533d824d476be', '4c27eae347247d25', '177fe99843448ee3']; context = [[5, 57], [199, 244], [16, 67], [2, 70], [9, 80], [11, 75], [8, 69], [17, 73], [133, 199], [101, 145], [16, 79], [1, 47], [16, 71], [1, 46], [10, 61], [181, 263]]; loss = 0.010235 low_pass_filter = 0.300
+Epoch 0: | | 36239/? [6:50:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 36240; scene = ['906665c2d458dd5f', '32cc836f91364cea', '38bca052a0bd63ea', 'd8f2630243a1b1f3', 'a2151466adf3ea7b', 'caaa3fc275a88f47', 'b94eb92c6c18432c', '25b956d02e19340b', '47e7899c39da449a', 'f61765e35a71eddb', 'dfb5a9520914b47f', '30bb04e939f45d7f', '1d1f6ff2bf5a761f', '48702ec12ae43a24', 'f66bd7a84be8e9e9', 'ec5058864932b759']; context = [[21, 104], [13, 98], [36, 109], [32, 108], [117, 173], [10, 60], [3, 56], [10, 66], [31, 87], [12, 67], [17, 65], [58, 114], [167, 234], [135, 201], [0, 47], [172, 227]]; loss = 0.011736 low_pass_filter = 0.300
+Epoch 0: | | 36249/? [6:50:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 36250; scene = ['67aa901c9e897988', '88a0e9bc46f4e05e', '0269bdc7f1711203', '5f04ca4ac1a635b1', '682307dfa2ffcb3f', '935a90bf15b8c7cd', '81df966eea295ac0', '5aaf9100d34579e6', '7125ae35464adb5a', 'a42751218de3c92c', 'a9caf4fcb2bca405', 'cdadb3960ffc1de8', '5dee435a268fbf38', '6b990b7b7e1842d9', '875839ca4b0de009', 'a6ac9a6cc22cef98']; context = [[33, 79], [177, 243], [4, 55], [93, 141], [34, 86], [107, 169], [133, 184], [29, 74], [0, 58], [28, 98], [6, 87], [103, 178], [8, 90], [1, 45], [35, 84], [154, 239]]; loss = 0.011073 low_pass_filter = 0.300
+Epoch 0: | | 36259/? [6:50:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 36260; scene = ['fc964ab5439155e6', '8fcca8a4f0e2877c', '937b13bf6372d464', '9619375d2bef132d', '2c6ac0963c11ffc0', '000e285b03f3fddf', '7569b1a23a0c670a', '14464e9cd85e72bd', '103792bf6a24849b', 'c2a910981ea58dd6', '154ffc3f70fe9019', 'fbc2ebad8df77f1f', '2c4bf4c81f761386', 'ac030ef563710103', '131a064a5ab68a39', '00e735135acbf78d']; context = [[0, 51], [2, 57], [19, 96], [13, 81], [88, 156], [18, 65], [184, 254], [20, 92], [9, 62], [5, 70], [26, 97], [47, 100], [78, 143], [56, 126], [11, 74], [105, 152]]; loss = 0.009834 low_pass_filter = 0.300
+Epoch 0: | | 36269/? [6:51:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 36270; scene = ['e242d43a1ef0a6eb', 'fe2fce8e4eb8f882', 'f523413a42b1908f', '5b4e5590f2d212b0', '0a0b7d56d8bb16f3', '7ed76c117c27b1e4', 'ad7d01ce66eaa31d', 'd5d73e1025a23bae', '504f38f5d0b716bd', 'a2bc2177cf70eab6', 'f720437b9f3f2185', '0722e6b29c398d78', 'd6630f80b45ff8c0', 'b99be4a64b39bf00', '9e074c67823c5c9d', '783d8f95e5260da3']; context = [[130, 181], [2, 48], [10, 75], [4, 64], [0, 45], [9, 91], [0, 68], [49, 93], [141, 193], [54, 98], [16, 71], [42, 103], [0, 44], [29, 103], [6, 91], [35, 115]]; loss = 0.008011 low_pass_filter = 0.300
+Epoch 0: | | 36279/? [6:51:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 36280; scene = ['ebc7d29df9f0118e', '85e7bd689f02a846', 'c6beb6cc90853cee', 'e2fe2859c146b8c9', '56b52d634f3a3d1e', 'd936dd442514c73f', '00a907a68edf05c7', '8bdd245418f71b00', 'b2cfbaf2c3d29d35', '68202dbda0564cc9', '8f0f4e93618b5921', 'fdc131eac4278a97', '5e7cc8af514e5b68', '1fcec6a56e64b810', '48f49dba0baa7b03', 'a9faa738331d806e']; context = [[117, 204], [26, 75], [7, 65], [17, 67], [2, 73], [42, 102], [2, 46], [0, 44], [23, 75], [27, 100], [21, 66], [81, 161], [150, 204], [29, 102], [35, 122], [194, 273]]; loss = 0.008707 low_pass_filter = 0.300
+Epoch 0: | | 36289/? [6:51:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36290; scene = ['3e3ac6301a680721', 'e47d7adfb65d9ea7', '189844bd4018f1f8', 'ed371e69e6998407', 'bb89152f133e38f3', 'ac8956f5b8d023ef', 'f4b4786cbda19a25', 'a0e908b9e7ee351b', '26012b01e6882785', '33228960a7ed2afd', 'a99bff09274b99f7', '64b6574079bdfc05', 'fd2c1271ac4794c7', '2d17040e1efd14f3', 'e62ee8ff4179b4b6', '6c52c204d0fe9f7f']; context = [[155, 200], [44, 106], [62, 130], [34, 82], [15, 84], [1, 47], [0, 49], [1, 45], [1, 67], [114, 158], [2, 66], [25, 109], [9, 75], [12, 92], [28, 104], [33, 118]]; loss = 0.011105 low_pass_filter = 0.300
+Epoch 0: | | 36299/? [6:51:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 36300; scene = ['b0276bd9f5678bbb', 'ea5def9e91076788', '0ec97594c56387a2', 'ed5f4d7bd89e9901', '821aad9f30ab0965', '4e63e1c5d0b9b2a1', '1b33985aabda6342', 'a1759ae7da7d09fd', 'b698fa440448d445', '319409c5232bd5f8', 'fb92ccfe3044b916', '9c478d19d0174e9b', '3f0cc5e7b0d45c74', '2a7814a09f94b1ef', '85a9d0916db92759', '76a7e3baa458cb1c']; context = [[65, 123], [62, 116], [9, 76], [100, 172], [33, 120], [0, 87], [115, 167], [10, 82], [169, 253], [3, 69], [69, 124], [125, 193], [34, 104], [0, 55], [2, 64], [35, 96]]; loss = 0.026719 low_pass_filter = 0.300
+Epoch 0: | | 36309/? [6:51:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 36310; scene = ['9632d39d8a42eb51', '04df74efd5400b7d', '8a25e72ba8812563', '147e4f3e5f03f3d4', '7a39bd58ec1d2ccc', 'ba5f37a10c6dd859', '057c338b658d2c6b', '3d4952a1e8289a7f', '6b503257ae05df64', 'c54a9bc3c2a962cd', 'ddc351e8ca2cd299', '94c8f1c6ee33001c', 'e452811140e730af', 'c177284557cac835', '936cfb94d0fa2d95', '78439ac06504df45']; context = [[29, 75], [143, 213], [7, 62], [39, 106], [24, 80], [25, 88], [90, 168], [8, 67], [190, 254], [143, 230], [36, 104], [1, 87], [2, 53], [113, 163], [0, 76], [43, 102]]; loss = 0.007871 low_pass_filter = 0.300
+Epoch 0: | | 36319/? [6:51:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 36320; scene = ['2d66737832c4cd18', '4e3342227bac9194', 'ce357c0e48f61ef9', 'ef32d6c5ae18f16e', '66ab33a1b3e31e7c', '9c9e982632b63f97', '393f1427397745fc', '618536ae5f39352b', '9dd0efd4b4626604', '20023bc0d2cd36fc', 'e7d38a7e5cb0a8c4', 'dbff8fae78b2b07f', '6259f31e093585f5', '3a774fead9e1acce', '7280451b8d7c7f9e', '722027de6ecb99f0']; context = [[1, 66], [67, 130], [4, 53], [4, 90], [116, 164], [0, 80], [3, 64], [53, 129], [12, 89], [19, 103], [4, 78], [68, 127], [63, 143], [12, 76], [7, 67], [26, 74]]; loss = 0.010598 low_pass_filter = 0.300
+Epoch 0: | | 36329/? [6:51:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 36330; scene = ['d989b4ca317f5cfd', '6e36a755fdec75d8', '2b14178ced93f0da', '5aa203774fc782b4', 'b850fac8dba8c9cc', '745ad1cee81a6a56', 'fd121f0c77ac0c01', 'a7264b9005fa40fd', '14d24ae076dfd157', '38b203b44b7b4f57', '7b4006c02dddd695', 'bac018643bed4fe8', '90b8a7971706986e', 'f89c69501680aec3', '047927ab286923c2', 'd26799d89f2a846c']; context = [[27, 79], [47, 128], [26, 85], [5, 65], [80, 150], [0, 56], [82, 132], [82, 142], [9, 70], [30, 84], [182, 261], [46, 103], [4, 53], [1, 48], [0, 49], [4, 66]]; loss = 0.011302 low_pass_filter = 0.300
+Epoch 0: | | 36339/? [6:51:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 36340; scene = ['777a625e551c0354', '24d937b4695cd100', 'fd4972b6ebc2992e', '3774a128fdeb369c', '3dbffcf222b91c46', 'c1ddddc26c9fbfb1', 'eaaced3e184a681d', '629ee0f8a9bb570f', 'dd9b2201803468d8', '8569d8fe098bf3e7', '9e2278190fe8af7b', '169d58442c7abe80', '1019dbbdb880e727', 'fda3cf8f3c1994fc', '5329c1001f9e5c39', '7e77a702ae28189e']; context = [[72, 153], [50, 100], [93, 138], [9, 71], [104, 174], [12, 71], [100, 171], [10, 75], [101, 166], [94, 177], [0, 46], [43, 121], [6, 71], [44, 104], [0, 76], [16, 73]]; loss = 0.011322 low_pass_filter = 0.300
+Epoch 0: | | 36349/? [6:51:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 36350; scene = ['8d44230707ae23fd', 'e63271fb76683a3f', 'f939a717c8f8cccc', '70e73cd89c3a3cc9', '5d09191618df4e27', 'b6efb653209b341c', 'ef03ee83ae08d3ea', 'b3ce0a1b64b915f9', '8c491d4e4f409c56', 'c78fbc4042f91358', '2ba622b78fc4569c', '51723a3c78e7e420', '1198c875e8b58d45', 'f3ed8d2562b3bb55', '23317565a1d37489', '0a573734d65d7227']; context = [[2, 80], [2, 66], [50, 112], [54, 130], [64, 111], [127, 192], [38, 110], [13, 72], [1, 65], [32, 76], [0, 83], [21, 104], [9, 78], [10, 60], [2, 62], [1, 66]]; loss = 0.011307 low_pass_filter = 0.300
+Epoch 0: | | 36359/? [6:52:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 36360; scene = ['97364ceb9f747de1', '06d3d9cbdcc2b1aa', '08cef1a3bb1536c6', '4fbde5ea62da3342', '375f4357d350d82a', '80d0c8dba40492dd', '07bbccee5f7e1df6', 'dc73b2d2bbc66fc0', 'd33f96b34b59536e', '02003c6738743fb8', 'eea538795dc99068', 'a316eb155d7e477c', '6be96a2ce575c89a', '273fce55932d575a', 'ecac75a36d941d5e', 'd3050899f139615e']; context = [[9, 84], [37, 114], [0, 64], [17, 62], [50, 126], [102, 180], [2, 46], [9, 93], [8, 69], [123, 173], [83, 159], [46, 101], [18, 83], [13, 68], [193, 243], [23, 96]]; loss = 0.008838 low_pass_filter = 0.300
+Epoch 0: | | 36369/? [6:52:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 36370; scene = ['0a6f113442f426de', 'b45e47d231088428', 'ffda743d376dcde8', '9ca80f3ebf759df0', '882fdfbe720a3236', 'd81116dc8c96547e', 'b74cd30ef141705d', 'bf0755be50798d45', '2ed8d2b8c1159862', 'c81095ff7cc7034b', 'f24b2611ba45a2cf', '241096ca94ccb259', 'd62c060a62da110e', 'ff1a64808d8981a4', '6f13f9ecee0df7b2', 'f34ab7eb2825c56d']; context = [[4, 74], [2, 63], [73, 125], [3, 67], [166, 227], [14, 101], [0, 81], [11, 76], [46, 91], [0, 80], [50, 120], [84, 132], [2, 48], [2, 52], [11, 81], [180, 232]]; loss = 0.012292 low_pass_filter = 0.300
+Epoch 0: | | 36379/? [6:52:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 36380; scene = ['1d73a12a3a006b03', '1c40367f8f64b13b', '47f0dfb0693f6c43', 'f0e9e439d773ffe0', 'd6bd2d707ffadb41', '993b224086d80631', '02fa87fdec616cea', '6d5a54c1e1c29840', 'acd9930567987388', 'a4ee84d202934a78', '2b1128df87dfdc20', '046d4c41a7aacb4f', 'ecb9a4abac144ddf', '7dfa099616efca7e', '758f222b19251a2f', 'e8e5f88a2e00604f']; context = [[37, 121], [35, 93], [38, 93], [6, 66], [37, 107], [147, 206], [79, 155], [22, 106], [9, 77], [9, 83], [33, 90], [14, 75], [12, 57], [8, 56], [130, 197], [40, 85]]; loss = 0.010072 low_pass_filter = 0.300
+Epoch 0: | | 36389/? [6:52:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36390; scene = ['76fbf387304b28f9', '954740f1e0accd65', 'd82ee5a0e75594a2', 'b747e790afd098fa', 'db16e7d25a1aaf71', '772117f001cadf76', '1796cd953fcfd33f', 'c0ac407355970e00', 'ee06f74c9da200b8', 'a3e5e6b0475c232d', '5b72ec542379ceb3', '3db7a3442e8d1781', '006ce7c81b5027e7', 'c15a92c8117c7c9e', '1d65751b99eee865', '31f4d27ca059d335']; context = [[28, 97], [138, 210], [5, 51], [67, 122], [9, 77], [21, 80], [25, 108], [118, 174], [0, 60], [4, 76], [2, 64], [19, 99], [6, 84], [29, 73], [63, 121], [23, 79]]; loss = 0.010930 low_pass_filter = 0.300
+Epoch 0: | | 36399/? [6:52:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 36400; scene = ['dff8abe7fb65a56e', 'e6c85be23fed04b5', 'e5245590cf6cd5fc', '598b1c9d13403339', '8fd650e68fb27844', '3cc5e07978538c0b', 'deb3e637a2b8d971', '4bf8e1ae461f5eae', '336296e17134d8a5', 'c939b1e53eebfcad', 'a0918e81b29ea2d8', 'd7a82aa577ae8a6c', '81691434e83125a2', '512b6de83df6fea4', 'cce776cba18d88a3', '27f3cec9a7ea058c']; context = [[201, 273], [4, 71], [170, 223], [107, 163], [13, 65], [1, 53], [9, 95], [5, 68], [11, 59], [7, 69], [57, 116], [34, 87], [51, 123], [47, 99], [4, 69], [37, 102]]; loss = 0.011508 low_pass_filter = 0.300
+Epoch 0: | | 36409/? [6:52:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 36410; scene = ['62c772a1ef24bec1', '417d5cf7c5509a8d', '137dd2f35cdf8566', '0c3be1d749038cbe', '866ede3b6acca477', 'b89696243c8b345a', '3027e1f17f7891c8', 'a53e86a301e2d2b9', '430406c1e2815e24', '184f88882b243fb6', 'b09d1ab83491c9e8', '611e7445a2567f6c', '0b2c6745daa6b386', '739668a2e4736e71', 'acde2409a2fc2794', '3c5f2dae4dc0f519']; context = [[27, 82], [1, 60], [79, 144], [4, 68], [2, 88], [123, 209], [86, 151], [176, 262], [191, 257], [86, 152], [0, 44], [92, 163], [4, 91], [57, 144], [1, 64], [69, 119]]; loss = 0.010259 low_pass_filter = 0.300
+Epoch 0: | | 36419/? [6:52:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36420; scene = ['8913a77c9f388657', '4fd056d18c23b0a1', 'ee7e466e2abafbd8', '476d0a5c62620693', '6743150e9200508a', 'a375d11b538e65a2', '0c4a1ffd5058289a', '05edd0204e085deb', '971c9593e36dae15', '282554ad95f2111f', '38ee5223789f3393', 'b934bb1208684110', '70c502d0b9e6f1bf', 'f8b94108d89ec159', '595b5d5487aa350c', '48201de72ef30c1f']; context = [[7, 74], [10, 69], [5, 52], [45, 95], [55, 138], [13, 72], [80, 124], [35, 109], [41, 90], [98, 184], [10, 81], [12, 90], [5, 67], [66, 127], [71, 135], [6, 51]]; loss = 0.011767 low_pass_filter = 0.300
+Epoch 0: | | 36429/? [6:52:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 36430; scene = ['a5ba0427831f1af5', 'b955173d519e9fa5', 'e0b6e08936e4eaa3', '73a5af87f854aa5d', 'de54aba01955af97', '3acd2a0d166e55fd', '48444b439f95a35a', '6e16f2a6fd80bce9', '1ef0cba4ecae4ed7', 'ff47d0c7e81c3943', 'c2ac8ef4459af817', 'c16696d55dc929b2', '11ce93a3b415329e', 'c6cea245140c3f81', '5c0a8d4d61b56c5d', '9aab81a10733d402']; context = [[143, 208], [0, 44], [169, 241], [6, 55], [79, 150], [81, 140], [22, 85], [22, 76], [1, 70], [165, 225], [22, 86], [8, 73], [5, 79], [25, 93], [22, 93], [14, 89]]; loss = 0.010519 low_pass_filter = 0.300
+Epoch 0: | | 36439/? [6:52:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 36440; scene = ['275f27cc4db7568b', 'ab0239d102bf33a5', '34854bce89063360', 'f5335d3def7ad3c1', '9a9c3309d1892ee2', '7fd3cfd708b00848', '7193d145364c2d31', 'f229b950ec0bc02c', '8992132d8d60091b', 'b84207625c4ff157', '9e8a968b1a4419fb', '750dcf52fdc26f1b', 'ec3a82daf4c8fea1', '0e086df7e36e6b5c', '6828fa8d4cb601d5', '237a1d9e48147ad7']; context = [[4, 89], [73, 131], [31, 115], [1, 73], [21, 80], [48, 95], [101, 147], [149, 209], [0, 69], [23, 102], [39, 110], [24, 73], [5, 83], [126, 190], [6, 72], [7, 84]]; loss = 0.008693 low_pass_filter = 0.300
+Epoch 0: | | 36449/? [6:53:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 36450; scene = ['52d583eceb3d3979', 'f84b1a9902b54c5f', '32499509bb075446', 'dc691056764fa534', '726929198a0059c6', '2a13f41268478afa', '02a0ccd1bd1a7696', 'a237ef616a3b03f5', '3ac23dbcb3d6a123', '4d716ae41fc70638', '8b6551bb28273423', '53857414accb7b44', 'a931f15fa6a0b25f', 'fa1144b7f9d07d59', 'aac9763228745ec3', '9637428fa666ef4c']; context = [[26, 105], [13, 63], [153, 232], [56, 101], [31, 81], [199, 248], [121, 195], [0, 58], [40, 108], [8, 71], [137, 184], [1, 76], [105, 151], [14, 72], [62, 115], [29, 97]]; loss = 0.009711 low_pass_filter = 0.300
+Epoch 0: | | 36459/? [6:53:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 36460; scene = ['5fde16a64e4bd9dc', '480b24222f7fbfd8', '4056bb826aef8ade', '5b92340f63f9c203', '9fde8722007f8bca', 'c24cd890c317646f', '86287d82fb124128', '20af8a91f51f8f18', '70715befaeea6c30', '474cf6a72f5206d3', 'b61a61a34fbd3c37', 'ba79a139b77ce96f', '2cf86dbb02e3fc32', '385f7d59803b3a84', '82fef8e6ffc1ad77', 'b7de6d5965f4037f']; context = [[4, 73], [49, 132], [68, 150], [9, 86], [0, 47], [45, 105], [0, 60], [56, 110], [16, 70], [2, 70], [1, 46], [3, 81], [22, 90], [2, 85], [5, 78], [1, 55]]; loss = 0.012966 low_pass_filter = 0.300
+Epoch 0: | | 36469/? [6:53:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 36470; scene = ['f8e32278bb006569', '7565f5a8df58c2f1', '40453913f3e6c90c', '65410d22f0d980f7', '693db81439adb0d3', '2a5b8373cd153193', '5f5f690da0e4ecbb', 'd6956a508357c234', 'ea21efe547c57ccf', '9a92a4070785e9b7', 'b5d2cca01af50b85', '5629513f08256634', '3ab97fdbbcc240e0', '6c3c8af4da8a4278', 'dc1d3b4c937283cd', 'ccb547dcb32e6a39']; context = [[17, 103], [12, 61], [31, 76], [140, 193], [141, 190], [9, 63], [28, 108], [105, 154], [20, 69], [12, 62], [11, 66], [38, 101], [1, 71], [7, 60], [47, 126], [22, 86]]; loss = 0.010907 low_pass_filter = 0.300
+Epoch 0: | | 36479/? [6:53:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 36480; scene = ['7fdd72e496bdd789', '6d712bf86b1bb79f', 'beca6316630c1e57', '552c35c6d99b5e62', 'b67893ee6b828446', '5b86590ddabc6579', 'e29e8b055b6fba61', '9dc00be786d8cc92', '95d2f8fdec5ba6a0', 'fa04057a58669ca0', '454f75b50703173e', 'ade8a86455248182', 'c4ac11db4065a715', 'ad48778f544bc187', '6dfc758d94dc0b20', 'cd2cbe06b65c6337']; context = [[51, 97], [4, 78], [7, 75], [13, 57], [44, 89], [4, 48], [19, 88], [83, 138], [25, 85], [1, 71], [56, 129], [11, 97], [34, 108], [4, 48], [123, 187], [83, 135]]; loss = 0.009745 low_pass_filter = 0.300
+Epoch 0: | | 36489/? [6:53:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 36490; scene = ['a00677410f377f66', 'd433a78ed22786cb', 'be3a68742dbe1610', '62e85674c011f64b', '0f8adc9b02ba1db0', '4e064993599076dd', '0c5c3bb436ed7ea8', '1446c12cceb0df17', '4592bd545ed2e2e7', 'f7ddde2e3318692a', '0e086df7e36e6b5c', '9e8a968b1a4419fb', '7193d145364c2d31', '6828fa8d4cb601d5', '750dcf52fdc26f1b', '7fd3cfd708b00848']; context = [[60, 138], [10, 58], [13, 95], [1, 78], [65, 131], [19, 82], [172, 234], [2, 66], [47, 100], [131, 204], [117, 192], [99, 185], [12, 97], [14, 74], [16, 89], [37, 120]]; loss = 0.010174 low_pass_filter = 0.300
+Epoch 0: | | 36499/? [6:53:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 36500; scene = ['df0ac86df48f6d06', '1018776739e1250b', 'b1dd1726f1f46b42', 'cabe1e553676170f', 'bef07f5d854b4ecd', '2caa3fcd9e69c050', '3a5c506b28095e20', 'bb0d0e90168fed9b', '5d3d63fe880e747f', 'b22b2dddb6514fad', '8937f2ec63b6fecf', 'd9b2f1092421b1fa', '078baae375f99e2f', '9607118d925d0c92', 'a547d9a777dba987', 'cf6bc43fbf8c8dd2']; context = [[159, 226], [16, 68], [55, 129], [11, 83], [0, 66], [71, 125], [4, 71], [15, 92], [6, 91], [210, 271], [19, 94], [30, 74], [2, 83], [1, 50], [123, 202], [30, 114]]; loss = 0.010974 low_pass_filter = 0.300
+Epoch 0: | | 36509/? [6:53:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 36510; scene = ['266e25d2ef565ac4', '7c7f34a2e46e7cef', '4f7ab72279a57984', '436cf64ba0827272', '2235fe0f5116af0d', '8eb77501b906faf0', 'fb862259dcc8a0aa', '047b9960d19e3c60', '06f384602bc7e787', 'ddabc74cbdf2849b', 'de2ae796f06043da', 'da0f564e5210d09f', '51b04fd9435b6853', '72040346a65ca209', '74b69334da4939e2', '7257497d7ddefa3f']; context = [[61, 143], [170, 229], [71, 123], [48, 105], [28, 114], [0, 82], [14, 66], [98, 177], [80, 136], [2, 54], [53, 129], [45, 129], [65, 114], [169, 226], [67, 140], [95, 143]]; loss = 0.011279 low_pass_filter = 0.300
+Epoch 0: | | 36519/? [6:53:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 36520; scene = ['29a5e76da0fe508e', 'fb2b05793115d09f', '7bc459cf2cd73e6a', 'f1970010dd9e1e01', 'c8da67d9fdccb60c', '8e2be4982c66d479', '5abb32040e5b9f10', '253e8f820f98d690', '82fb9650578cf923', '4f6bf6243912aa92', 'b84872a112abb026', 'f3b614caf5078792', 'b8411d41299a345d', 'c1771c630bca02a9', '94be78a8a5500285', '9e51170a8e584e09']; context = [[1, 47], [2, 83], [11, 65], [8, 88], [1, 88], [26, 109], [24, 88], [78, 128], [14, 68], [76, 147], [0, 47], [10, 73], [1, 71], [46, 121], [45, 122], [28, 93]]; loss = 0.009371 low_pass_filter = 0.300
+Epoch 0: | | 36529/? [6:53:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 36530; scene = ['afbcb424f59b922b', '65eb90461a63a1b3', '3bcf3bcfc5d5c365', '571879c55dd10963', '16b14fdfebf649c9', '63cff13813cbc4ac', 'cb6f76288d4df310', 'cb0a6da1e15cff56', 'b1e4b57401d302e3', 'c75a367b86e8c891', 'd6344c065176bd92', '055056efaf74b2e7', '9a35314e58d81ed6', 'b8387972602730b1', '97dd9db901df1c48', 'cfdb58b8de56baf5']; context = [[2, 51], [25, 97], [0, 77], [36, 96], [3, 57], [55, 109], [0, 57], [45, 130], [189, 239], [5, 67], [2, 65], [46, 115], [20, 91], [11, 99], [4, 64], [5, 52]]; loss = 0.010906 low_pass_filter = 0.300
+Epoch 0: | | 36539/? [6:54:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 36540; scene = ['78951deaf8c67b08', '9b0d3cdc51db98e9', '67b991e3e371c9b4', '565d85abf1302908', '0a1019091179b025', 'b401ef3f7e19f7e5', 'c2e5059160758f32', 'e1e48253189d6a37', '04350c5274a81d85', 'ab45edaf514e3150', 'faba273f0a3debc6', '31ee94df5ad93459', 'b22be07118b3640b', 'bbe918789666cc17', '77f2655068e1c4fd', '4682f088198970d6']; context = [[1, 86], [1, 50], [46, 127], [120, 189], [22, 98], [9, 61], [24, 79], [50, 106], [10, 67], [21, 107], [6, 66], [164, 234], [26, 75], [39, 95], [51, 137], [9, 56]]; loss = 0.009416 low_pass_filter = 0.300
+Epoch 0: | | 36549/? [6:54:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 36550; scene = ['c28f5b0713ea8927', '32936b5443076f5c', '1a1b424f93af5432', '1c0f40cd04838650', '807f25b62e86034b', 'a4c42be1726162f2', '40c66143ed5c8cc2', '050af59dc380ea13', 'c936a5da00c11cfe', 'a43e51b1f17661f4', 'a5526e3fba4e3871', 'b428ebca685f1c31', 'd8e82f327f681848', '79e8072ff1125b2e', '2ad9699b71424c0f', '3e568bea5cbf4dd3']; context = [[44, 97], [1, 64], [187, 235], [46, 129], [20, 87], [31, 83], [158, 236], [0, 45], [7, 55], [0, 54], [202, 248], [33, 101], [5, 58], [1, 55], [11, 90], [103, 168]]; loss = 0.009148 low_pass_filter = 0.300
+Epoch 0: | | 36559/? [6:54:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 36560; scene = ['f495b039a84b0988', 'f4817bc9b470dfaa', '741157d815e33610', 'dba1c1788e6a3478', '88dc98e74deb6e1f', '558e6d3b43990261', 'dc4cde40cb53c448', '63af9885dcfadd96', '4bd0d8b0f8411adc', 'd7f4c5338967ef5c', 'b20b69d74585d878', 'e5d9bba19e6090de', '10cc7bb061605d57', '6df3bba71999762d', 'e2dd04a765274f4c', 'cd4a9ef6996aa077']; context = [[5, 90], [31, 106], [190, 237], [15, 59], [42, 105], [24, 100], [4, 75], [39, 102], [12, 93], [15, 83], [31, 101], [1, 89], [189, 271], [124, 207], [11, 67], [22, 97]]; loss = 0.009383 low_pass_filter = 0.300
+Epoch 0: | | 36569/? [6:54:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 36570; scene = ['350250d5e23abe42', '601ccf10319e2f53', '1da8bba08ef5d022', '3b559cada02ade84', '02e51473f83c2da8', '67aa2aa232d5369e', '729a45ca32c04257', '1541443b0f9f6d16', '3f1b91f60386c5f3', 'b5460ab2cb43fba9', 'd3be28b87efbb74a', '8169c8faa57d4f73', 'dc82737a9ed81ffc', '3a51433314e31d1e', 'd60624e14709aca8', '2da0d2a359988cf0']; context = [[17, 92], [56, 123], [127, 178], [11, 64], [81, 142], [36, 84], [177, 222], [2, 58], [19, 92], [23, 76], [29, 75], [97, 174], [3, 47], [71, 151], [31, 110], [14, 92]]; loss = 0.010765 low_pass_filter = 0.300
+Epoch 0: | | 36579/? [6:54:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 36580; scene = ['8a3e2cbeedd91c29', '3a4a10a316270e72', 'c2f4a9a48094a748', '67303c1c83feffbd', '707548393b4bc8a5', '001c43a59a9e0b16', 'a356dab14e5662de', 'd450bfc8d4fd93fc', '019bf9d48f4362ef', 'd1c6899b6c6ef917', '0c2a75ad7d5b971d', '67fcd56243f81f4f', 'ea30bf8a65e93961', 'fb6364b47d824180', 'dd5ed29765330d4f', '34cc043eac727166']; context = [[27, 79], [43, 90], [0, 46], [16, 80], [39, 96], [56, 142], [0, 78], [1, 46], [35, 84], [6, 72], [30, 109], [188, 266], [9, 63], [88, 150], [4, 63], [129, 214]]; loss = 0.011364 low_pass_filter = 0.300
+Epoch 0: | | 36589/? [6:54:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36590; scene = ['efc29d2b260db828', '7c41d64533a693cd', '834d220fc4260494', 'f1f45ac7469e567a', '082c0c02689ac9ea', '1ac2a4b1e19586d2', '20c567d65674f2ca', '58d3f0291ef949cd', '3c4bdecd948605b2', '5873515e83e4f80c', 'ed32136a29bd41e5', 'fa65596a8e365af8', 'd77d8728b4f60c05', '45e99af9de479d18', '37d500b0d445527a', 'b9f4bf0923570c4d']; context = [[10, 86], [165, 247], [34, 91], [31, 75], [71, 141], [50, 127], [0, 81], [76, 152], [0, 75], [24, 76], [40, 122], [196, 273], [20, 67], [24, 71], [60, 129], [5, 69]]; loss = 0.012269 low_pass_filter = 0.300
+Epoch 0: | | 36599/? [6:54:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 36600; scene = ['e505e1426e248b71', 'a8bdfed1dca087ef', 'ef640b2f20e99e16', '1f0fa5402763bb4e', '8e1d14eee9286097', 'adebe02303ab2e6c', '6a8649c12f74db20', '7b9b7003ec4e78a5', '8af368949983a521', 'be414fc8a382334d', 'e09552a1d3ff9da2', 'dd17004fbd4dcc42', '50d7e64b19747fad', '6ceee3e441827b1c', 'fc4456fea1c67e5d', 'a6e5fde299dbd66b']; context = [[134, 221], [1, 51], [45, 120], [16, 86], [55, 117], [51, 113], [13, 88], [49, 136], [8, 65], [29, 107], [140, 201], [32, 92], [4, 54], [6, 80], [109, 178], [40, 104]]; loss = 0.013108 low_pass_filter = 0.300
+Epoch 0: | | 36609/? [6:54:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 36610; scene = ['eae335066648fbe6', '90dbfac63e6b89be', '826bba2bcafe7d03', '0a261b18c09f9f58', '63530ed9d72a8372', '77da7b2b980f34f9', 'f2f7df2a8b307e10', 'a44d6979b3bafcce', '229a78770f9e62ab', '375a71d06e55dbd3', '3c9a565ad968626d', '554969e92f0c8d3b', 'f47283447b11a0a4', '2b63e3da632073f8', 'c902db04aedf721a', '2b03daae55bca39c']; context = [[5, 68], [9, 58], [195, 245], [184, 236], [11, 77], [154, 216], [13, 58], [3, 52], [44, 117], [53, 137], [25, 79], [110, 165], [41, 97], [18, 80], [78, 141], [101, 189]]; loss = 0.009050 low_pass_filter = 0.300
+Epoch 0: | | 36619/? [6:54:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 36620; scene = ['c7ebaa45b364c9d4', '97cd7fcb21aa841e', '69c37577c1aae10a', 'e4ad77a941628fea', '96ad6fdc08cdfc37', 'be23a4b4e11391f4', '611bad07db5d9180', '39e77582c902fb47', '9dd47de79d8a59b1', '88f0ac14ed8feb1c', 'c6b0970a98ef932f', 'b02dc4e4cf0ec58e', '627833d07680c6e4', 'd5b19358d6d05a63', '64f0e0779e200db1', '9ee288075a75d9f7']; context = [[2, 87], [3, 78], [0, 57], [37, 84], [7, 78], [5, 60], [10, 69], [165, 241], [40, 118], [16, 91], [48, 96], [86, 138], [16, 93], [8, 96], [7, 70], [6, 69]]; loss = 0.011928 low_pass_filter = 0.300
+Epoch 0: | | 36629/? [6:55:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 36630; scene = ['aef61dd546a094f1', '85dee45f94a95c17', '5ea49c4330735de6', '2eb9dd51f20a9d19', '5ce1d9b4b20f5c9b', 'ae82cdf33b5b0915', '11b82d701e534e7d', '07d1274f64a5081b', 'c9a206a3329302e3', 'c3ccc4ebd91fc7ed', '3c6fd8ba9c412ce8', 'c040751b7e2b2ef3', '033e302c06eae28a', 'f3063c66b1e84d2a', 'b2027e45d50ebe71', '1ae570de2e1c86df']; context = [[1, 62], [4, 60], [173, 219], [60, 104], [173, 222], [33, 79], [12, 94], [1, 80], [152, 235], [47, 95], [3, 64], [32, 79], [61, 111], [24, 97], [49, 128], [18, 73]]; loss = 0.010332 low_pass_filter = 0.300
+Epoch 0: | | 36639/? [6:55:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 36640; scene = ['1b046ac48aff103f', '0ea02580498c6df8', '3d010d79a440ad27', '3665af07357cf4fc', 'b790b4a50266bfac', '1c68ef09c2a2adf6', '518418acaebb3208', 'ead11a79720faa36', '9c7d2b15b61d403a', '7281282183a977d3', '5284dd49770861a7', '4ab606710f06af0b', 'c377a8133c5e7a82', '7dbbedcf6deeb966', '3184a8586eb9d26a', '18e18c7f3e6482bc']; context = [[8, 56], [17, 72], [4, 48], [10, 61], [30, 85], [5, 51], [76, 155], [44, 123], [0, 70], [54, 98], [3, 64], [149, 229], [0, 66], [22, 91], [64, 152], [51, 128]]; loss = 0.010179 low_pass_filter = 0.300
+Epoch 0: | | 36649/? [6:55:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 36650; scene = ['bdb981148d4f5ab9', '2c1299d0841d07dc', '58bd756bebf66e0c', 'ba4bc50f3e101be7', '724698b7bec91b99', '1cea80a14693313c', 'c86ef1cef33cd896', '587a0c714dc7d673', '6974a9dd2e36b330', 'eda4cb0549dfa429', 'fe989e36a3ecd67f', '83163ff782398d5c', '11e834a0d3abb838', '19348886c10f5918', '731df591d77c04b2', '4874c99d597805e0']; context = [[0, 47], [13, 72], [14, 63], [53, 132], [3, 73], [9, 73], [12, 94], [51, 109], [1, 59], [9, 78], [20, 100], [161, 221], [110, 188], [38, 108], [6, 74], [6, 77]]; loss = 0.009914 low_pass_filter = 0.300
+Epoch 0: | | 36659/? [6:55:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 36660; scene = ['78839d033c4c8311', '1835f16e1c0b9795', '61fb7783fff731c0', '8420ff3c64b30c99', '5689c9983b642392', '4b9f648daf5a382d', '1f1e2bbb82d871d6', '0d6a00923814af9b', '7d53ee1442576525', 'fbd2c20f5033d7d8', '542b331fc2699bc8', 'c2aac658a825f776', 'e790b5f2308d5617', '75b93ae19dd971a4', '11b07c1ff511c097', '11da16bd945c4985']; context = [[139, 216], [6, 55], [153, 225], [2, 67], [148, 235], [3, 50], [12, 65], [14, 71], [22, 95], [25, 86], [20, 79], [1, 68], [15, 91], [9, 58], [3, 77], [8, 92]]; loss = 0.009858 low_pass_filter = 0.300
+Epoch 0: | | 36669/? [6:55:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 36670; scene = ['d2b1ff06c77d6905', 'd2216c8ac4d59886', 'f575470bf119a425', 'c2368674dc54c1ab', 'bf0fbe377da9beed', 'ad596afee6a8aa9c', 'a130156902221ac9', 'c8fefdd251b6d90c', '780faae4b70c35f7', '1feb9ecdca23818f', 'af63bf3a8f7b4a47', 'ebce0e22003b1b97', 'a48bd89d4c750b98', '1d72161deb0221fc', '0a4f895d103b3f57', '06e4a604e5a0bfec']; context = [[25, 87], [2, 67], [38, 107], [18, 63], [2, 59], [24, 89], [20, 83], [2, 74], [0, 58], [99, 181], [4, 55], [4, 55], [20, 90], [4, 71], [1, 86], [7, 76]]; loss = 0.009149 low_pass_filter = 0.300
+Epoch 0: | | 36679/? [6:55:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 36680; scene = ['264e8509690b1ea2', '33a9d9c81ec1ec2c', '09ba39e41abef91d', '2d0c71e552c43161', '2a37114401aee862', 'b0c4b7fcc5684a5c', 'adf102437e4a8401', '02fa76b71dc91e15', '7ba606741aee99fb', '2707fa5c793a7104', '82b628605ff84a2f', '919b8fef118db525', '18019fe13bf3cd6a', '67d66f2f254fd064', 'ba93629df962b51e', '3ff503b996b7761c']; context = [[205, 257], [103, 154], [3, 51], [25, 98], [10, 62], [6, 93], [78, 127], [2, 66], [9, 77], [181, 257], [176, 225], [81, 150], [120, 167], [5, 76], [33, 104], [6, 58]]; loss = 0.009159 low_pass_filter = 0.300
+Epoch 0: | | 36689/? [6:55:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36690; scene = ['ea57baab120b0c2c', 'e132b44474d468dc', '74a90325131a0f83', 'bf7037e18e37df78', '49b87c7703b467e8', 'e460c9372582b498', 'd04f3ef93efbec50', '028c46c1a1921e58', '0cff48e83dc21019', 'f0b4cb19f9a00462', '3233ec8590aafe91', 'ab647a72705fdc43', 'e591c53b0f37b4be', '6c18f759bea057a5', 'e3204b78384a33dc', '261297f3524d2ca9']; context = [[5, 77], [16, 91], [3, 76], [72, 153], [0, 49], [91, 170], [120, 169], [81, 166], [41, 106], [36, 118], [123, 201], [27, 81], [13, 64], [37, 104], [45, 104], [33, 87]]; loss = 0.009772 low_pass_filter = 0.300
+Epoch 0: | | 36699/? [6:55:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 36700; scene = ['c5f82f4f38798303', 'acec9d645a945437', 'f7ed39c1e39f16bf', 'c2d94b5ec555f7e4', 'a02096a091543cd0', 'cb61949c06bb9837', '956ba41bf98ba71f', 'eeaa456ff8d02ae5', '621f93416436589c', 'eb35c81a959ad80f', 'b68ef343d008a9c8', '8674ef1d1ac4e958', 'b444f2b85b396571', 'bc6074f65be70999', 'acd1915ee65bfe2e', 'ceb28bbb4f5926f1']; context = [[7, 62], [15, 67], [17, 72], [1, 85], [41, 86], [31, 94], [171, 235], [3, 52], [117, 196], [50, 137], [2, 70], [1, 67], [6, 62], [7, 71], [142, 191], [1, 89]]; loss = 0.010569 low_pass_filter = 0.300
+Epoch 0: | | 36709/? [6:56:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 36710; scene = ['2565fa91d5511cd6', '84d709a32b16ba1c', '7bb67f408e65d160', '936525536a825781', '9850055eb75d9e9c', 'd7bc9b74b15143c1', '9112a327c48c8a3b', '0858737cc9d1c3e0', '16e665bb9e65cfef', '1293621d66dc4273', '52b9e011c488d98b', 'fccb5d29b34d4dac', '31a5a2ade7b7d266', '6a61530613e80e63', '8eee7c848d368b0d', 'f163339747752b23']; context = [[19, 69], [52, 132], [27, 97], [20, 92], [46, 113], [5, 49], [6, 66], [6, 57], [12, 61], [79, 145], [10, 93], [38, 90], [27, 85], [0, 54], [6, 63], [50, 132]]; loss = 0.011516 low_pass_filter = 0.300
+Epoch 0: | | 36719/? [6:56:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 36720; scene = ['ed2f893289c0de6f', '763c31a2b567d48a', 'd976c018887ab6ab', '3590f2ced4698b87', '8c845b940aa8244c', '5dc65860a4286eb7', 'ca6809da1168fd68', '404bb1f5376788e6', '04bba4f3bbb51902', '35dbfb0c81dfb8cc', '03cb214b06fd0f55', '42f803e40f628732', '8abf692cb4b9e81d', '06dbddf5734b8f0b', '2f27dff4b798d63b', '631b6cde5968bda5']; context = [[113, 164], [143, 228], [49, 96], [26, 72], [1, 48], [19, 90], [46, 124], [71, 117], [15, 78], [17, 72], [78, 135], [9, 53], [11, 73], [17, 72], [60, 125], [29, 114]]; loss = 0.009458 low_pass_filter = 0.300
+Epoch 0: | | 36729/? [6:56:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 36730; scene = ['c260ecbf582b8dca', '63046d3f8570253d', '0b6805ec5715543f', '38810e0e102e497b', '0e4fabb9c06551de', 'c8ecb6197b43bccd', '12d05cbe03cd6e72', '1e864d30c35815fa', 'c5a0cbe5267c42b4', '173df9656624a093', '0a5e96ad4f6c2778', 'e6ebaea853d7c5da', '56eb73a8e5f30e59', '06c175f6ee37879e', '2fd71c52854362b6', '5c9395533cb818c5']; context = [[29, 98], [31, 83], [23, 89], [37, 103], [99, 160], [25, 97], [156, 229], [100, 166], [16, 84], [13, 78], [1, 76], [21, 98], [74, 136], [12, 76], [67, 150], [21, 74]]; loss = 0.012476 low_pass_filter = 0.300
+Epoch 0: | | 36739/? [6:56:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 36740; scene = ['1c76055afe762ded', '03a58fa83025c7c5', 'ddb6ccaebb0f6047', '8a749305c8a7a764', '57c55c3f86702375', '22d42ccb6f6b29c2', 'e9d559d905f9e293', '9071525e59b0f5da', '4af008f15e72d78a', '3b21a07ae5de8202', 'f1bbcd848a212362', '6e63b6440b922e9b', '42c42168f0fb01da', 'df8f7309507c4827', '3fa8b5d99c8e3897', '4de8a7529e541417']; context = [[31, 89], [2, 46], [4, 48], [5, 74], [3, 65], [2, 78], [5, 84], [61, 116], [9, 90], [30, 95], [1, 55], [11, 66], [4, 82], [4, 63], [0, 53], [0, 57]]; loss = 0.008023 low_pass_filter = 0.300
+Epoch 0: | | 36749/? [6:56:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 36750; scene = ['2c108a559dee1618', 'a4040de9d995b7de', 'dc41c0081c0366a6', '93c52643edbe225b', '567d1b17a4e9803d', 'b2ebdd6053a0a87a', 'feebda925b98fa36', '960ee8aa94f850d3', 'fb3a76eb4854d550', 'cba780f21d82bb4d', 'cb96d46222ae1739', '1ca8998e2fa0e976', '40e716deab059b5f', '98590b7649755555', 'd27be8b2dfd36faf', '6e09a9fd20857df0']; context = [[99, 169], [56, 128], [156, 219], [3, 57], [1, 69], [55, 99], [8, 68], [10, 84], [0, 68], [39, 89], [4, 54], [72, 118], [61, 109], [95, 182], [113, 162], [32, 111]]; loss = 0.011135 low_pass_filter = 0.300
+Epoch 0: | | 36759/? [6:56:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 36760; scene = ['a1d7341cb3041276', '17c7448bbbea7d36', 'b0ee71056841d17f', '511ba41160302742', 'ba8254c9d0eb8a6f', '903cfed1bcaee645', 'ff9a13a4122358c0', '4c6b1a86b7554be7', '8f0ecbead6dd6d79', 'de76e0fa6665b96a', 'b6602fca4a46af3c', 'fd39953d2d51d0ea', '3c7e6874294e63bb', '9b78476cb3a62f42', 'ae7d1a90900f2837', '296e4f16f7e5ea18']; context = [[44, 124], [33, 106], [79, 149], [5, 71], [13, 62], [2, 49], [152, 205], [1, 45], [39, 89], [11, 64], [71, 143], [12, 65], [22, 72], [98, 177], [18, 63], [128, 213]]; loss = 0.007427 low_pass_filter = 0.300
+Epoch 0: | | 36769/? [6:56:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36770; scene = ['a55ae09e81f6e314', 'ef1bcff4381798e3', 'b77d95d2e93074c3', '465ce15174cd7c62', '05573b3db746e6ee', 'd74e7a16f611c1f6', 'df9c8d1b19c778e7', '5ec33374614cfe6e', '33ed58f9ad7d3603', 'a7e7897631d70008', 'a0f72cf44dc5854a', 'af4b3d516b5f85fc', 'f74325d6564a05b2', 'acbcac55198d0a7c', 'c8e2204b0fe7b68b', '00c3799b538b84e7']; context = [[12, 77], [3, 47], [128, 200], [15, 74], [38, 97], [11, 81], [5, 87], [5, 87], [59, 134], [40, 116], [12, 72], [28, 81], [1, 49], [5, 68], [2, 81], [35, 95]]; loss = 0.008836 low_pass_filter = 0.300
+Epoch 0: | | 36779/? [6:56:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 36780; scene = ['7c28754cd17d1002', 'f0c6eca36ae4f4d0', '10bab84cee9b19b9', '7ea638aec22bec97', '01e6070d4ba4b31f', '25b0eca63679edf1', 'befe38a3528534de', '76e8408579a8def3', '5b28749eb4d7de82', '8006cf47aa5e25c5', 'cf64834c2de90394', '03bda04a27d82a5b', '7a42989e4f09f8bf', 'cb95b7cfa375a9ea', '0e65e508ee024fc2', '491964c59c131fc2']; context = [[14, 63], [11, 75], [16, 87], [104, 155], [11, 66], [1, 61], [1, 85], [32, 101], [11, 94], [75, 122], [27, 105], [167, 219], [0, 44], [107, 155], [16, 98], [44, 94]]; loss = 0.009864 low_pass_filter = 0.300
+Epoch 0: | | 36789/? [6:56:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 36790; scene = ['21ff785f89ad87cf', '0071f6d0b342c75f', 'e280e5d4cd514531', '9f0cb34a36fc4260', '435fe174264697a6', '7dc2da97423f053d', '3223635c785c9718', '22dd0c673b90e0f0', 'dd9bed08c152554c', '58adcbde01e5c437', '211ba20868a52208', '52914ada3d21bb9a', '3d74489372089c48', '57e607bc8cd5d233', 'dc41c0081c0366a6', '2c108a559dee1618']; context = [[66, 144], [14, 93], [11, 66], [146, 198], [40, 104], [55, 139], [10, 78], [19, 105], [3, 51], [0, 72], [20, 80], [72, 117], [1, 50], [17, 67], [128, 214], [6, 87]]; loss = 0.010282 low_pass_filter = 0.300
+Epoch 0: | | 36799/? [6:57:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 36800; scene = ['9d11c0c1b866f4ce', 'f026c8f1c91ab212', 'a8c67c7050608d71', 'dda981c3412b8d91', 'e1a1987653f0f30b', 'ebe5c67aecd20a4c', '420fcb4af19f957c', '7ac1e20b737a9707', '974c3242a9b9235b', '2028e7685d576a9f', '65fbdf6af1c554ee', '86d838e5d630a422', '6d30b36107c16f16', '59fa40dbaab9e111', '0f7bdf40fd6390b2', 'eb1767752a703a9d']; context = [[111, 180], [27, 93], [191, 246], [7, 59], [4, 61], [35, 102], [111, 157], [7, 67], [4, 65], [28, 109], [88, 167], [0, 73], [51, 108], [0, 45], [10, 96], [4, 49]]; loss = 0.008557 low_pass_filter = 0.300
+Epoch 0: | | 36809/? [6:57:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 36810; scene = ['8510b5c8030d39bc', 'f4b69d7fcab6b573', '03ccd89f68dc8276', '0029e9169a167c4f', 'f5ed66ecbc11f168', 'd8a7542a8fa1663e', '0b963fdcecb63487', '3bd7a1c47b1b1643', '54acac64824de66c', '67cf459986d45ea4', 'bc8622b3fb602185', 'bbf7ebb5b844c6b8', '3db875cdaf4aa738', 'e5bc10fc377c52e5', 'dbc16c7274385757', '81e928bad764a5aa']; context = [[2, 68], [152, 218], [93, 145], [43, 120], [10, 69], [68, 113], [66, 141], [35, 96], [5, 55], [7, 82], [32, 106], [0, 75], [60, 106], [1, 67], [13, 58], [104, 156]]; loss = 0.009837 low_pass_filter = 0.300
+Epoch 0: | | 36819/? [6:57:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 36820; scene = ['7585f42f06759997', 'd22fdf936632d63a', 'f6d2cb1ac5d594ab', 'e83e3c6a186d4b14', 'e7f549ceccf3bed6', '4d99f9c1332d1442', 'f78cef21cd9ec13d', '7e717082bedd01e8', 'f689b1467bdd3aaa', '2c6acb9cddb23fdc', '3cca155053b89326', 'a170e06e7999ca1e', 'd07aa4d1691ccf58', 'f1a0ce57e7071dac', 'df2ed5b12147a4b4', '1c82921d1dcd115f']; context = [[31, 104], [95, 147], [1, 64], [12, 86], [2, 46], [49, 95], [182, 242], [41, 95], [66, 149], [93, 170], [82, 146], [1, 66], [122, 192], [29, 82], [38, 104], [6, 52]]; loss = 0.008582 low_pass_filter = 0.300
+Epoch 0: | | 36829/? [6:57:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 36830; scene = ['5ae14b01a500682a', 'cf6fd75ffa40dc50', '4da36973de5227de', '9da1fa15af1eae3d', '0e0bf14b6085e811', '3dfdd773f0a7cf2b', '137580e9c0646c73', '5df1aef749bb19c5', '7c116fe539ee7847', '4d77ff1e09cd1158', '3094f248b96dfe8c', 'ef7aff8b7ac0037b', '7b268ad21c2b9512', '445d49fe41604eda', '952d3623a4b9befb', '87247e6e4d43fa1e']; context = [[21, 70], [158, 204], [7, 86], [85, 141], [1, 69], [8, 76], [6, 56], [107, 183], [26, 94], [0, 61], [27, 93], [0, 46], [19, 67], [28, 97], [5, 93], [49, 114]]; loss = 0.010100 low_pass_filter = 0.300
+Epoch 0: | | 36839/? [6:57:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 36840; scene = ['dad5ebff7c618bf2', '64b2c628b9b981e0', 'dae6b61b21e15ee9', 'e3ed82547a822c3c', 'ee81611880e3c24c', '2f18ebd8a3515195', '152d43c01efbc620', 'bfb4ec8110f16cd5', '6da09db5c8cd9958', '9f66227d73e22560', '54bf70a9a65b6e38', 'ed22b05537df9f59', 'acd59fc1c1876dfe', 'd86e0bf35d374da4', '028c46c1a1921e58', 'f0b4cb19f9a00462']; context = [[8, 71], [42, 112], [32, 113], [160, 241], [14, 102], [10, 59], [198, 274], [13, 71], [0, 46], [84, 169], [90, 163], [24, 76], [6, 54], [44, 108], [189, 252], [9, 81]]; loss = 0.007954 low_pass_filter = 0.300
+Epoch 0: | | 36849/? [6:57:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36850; scene = ['1257d34372ddf7a1', 'a08ff72bb7ee8769', '8b43ca18bba45f5f', '15530e3a36759071', '60169b49df5a7100', '97975582843a7447', '859ab2c13678fbc4', '70f3c97d083b73b6', '06779b91ed31eaf1', '0ca3f423c85f9681', 'e35372245c208a65', 'e1d1d5cffaeaa083', '66c10f6fa1fc6012', '8b420b4f59fb2756', 'fe79a53c24c479b8', '08f41adb663ab4f4']; context = [[24, 78], [14, 87], [41, 104], [149, 231], [13, 69], [43, 113], [96, 180], [1, 59], [10, 55], [22, 79], [2, 65], [25, 88], [113, 189], [3, 76], [0, 48], [105, 170]]; loss = 0.009963 low_pass_filter = 0.300
+Epoch 0: | | 36859/? [6:57:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 36860; scene = ['2ca62bc0dc91e75c', 'fac4848086b213ef', '3410d65a1b870eb7', 'dab2cccc3ef52e10', 'de7427712778e01d', 'f98e2b471d6f4ec3', 'be4684c5871e437b', 'ee3d254e6e249416', '93e4362f1b5a692f', '5cd3756227c3a8c9', '06323af770d29e99', 'a1c4f2db52b4051c', '42542d645678fd04', '05afb96fc56cd180', '9f330b05e7b1955a', 'f55c732c8821fd1c']; context = [[2, 59], [69, 149], [1, 58], [0, 44], [27, 84], [75, 131], [5, 66], [173, 240], [105, 178], [76, 152], [0, 87], [0, 88], [19, 84], [13, 66], [1, 55], [36, 101]]; loss = 0.010285 low_pass_filter = 0.300
+Epoch 0: | | 36869/? [6:57:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 36870; scene = ['d1a233764dfafcf4', '5c56b0f05a358572', '7f4353922e24e719', '7515288e20354f55', 'a160e085a31100e7', 'ca65a604c0f00319', '6b944937986e8221', 'f9357b87fc3e1578', 'a2a821ecee305c73', '86af7cd006b63f11', 'd7ca8401b3a2387b', '3dfdc1b6c7b658e3', '628d53c4fa7f75e6', '80b04e7c5d21facf', '5b3422e1ad0e3f86', '02ae95aab1b4932e']; context = [[12, 68], [1, 51], [73, 136], [46, 101], [73, 144], [32, 119], [24, 75], [69, 124], [138, 217], [69, 148], [11, 57], [45, 130], [30, 107], [18, 80], [37, 108], [71, 158]]; loss = 0.014881 low_pass_filter = 0.300
+Epoch 0: | | 36879/? [6:57:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 36880; scene = ['ddbfd5840e4c41f1', 'b1c40d25d2e64f8c', '7022414e18445c17', '20b0f500cd4d194c', '0f508c88592db2c2', '5774a89a2d5cd670', '2dbc65b7447a15c1', 'ccbdd701280e21fa', 'ac70e9ecbb9d1673', 'ef394996c3b4b964', '3157f03f26187e7e', '544a78b22bc4b00c', '62705f8c22b2c80e', '0f334f40ba81525d', 'd0c12240702616a7', '79dca8946db32bbf']; context = [[118, 169], [25, 89], [90, 150], [21, 66], [122, 183], [75, 132], [21, 68], [26, 81], [23, 83], [161, 246], [36, 94], [23, 105], [95, 172], [7, 58], [6, 86], [14, 90]]; loss = 0.009527 low_pass_filter = 0.300
+Epoch 0: | | 36889/? [6:58:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 36890; scene = ['9aaff40d2f0278f0', 'f08a49f7e35dd20c', '0b61e5cda871bfcb', '54da02e4dd714f48', '40aa0220cc39a914', 'becfa3668f1ee64e', '3b7c1da7ab8f7c7f', 'a37504e5a333ec20', '2077837c28470a26', 'f483eb112204d039', '3f575f7539ab6976', 'c7dec949f5729c8c', 'adc4da860adb345b', '01013ae23fd56cf6', '7fe98c1f01f1ef82', '79f1ced3ae31f942']; context = [[5, 70], [63, 140], [12, 83], [31, 107], [0, 61], [29, 102], [1, 81], [6, 94], [17, 80], [81, 155], [9, 88], [78, 133], [1, 84], [19, 85], [10, 80], [27, 88]]; loss = 0.011351 low_pass_filter = 0.300
+Epoch 0: | | 36899/? [6:58:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 36900; scene = ['97d48083a9c554ef', '29afe36e4ba597f5', '1ccc8946d683d79c', '9bae213a2e0667da', 'bc29873beb100836', '33bf51a57dd21baf', '1dc2ebcd887c71e6', 'af6d66e39934570d', 'f8df6b5b731213be', '303d1041d98346d2', '038c23fe8ac608d2', 'b4ffacdfb98be7ce', '3be7d7aca547bc9c', '9fa0ffd6f3c3c219', '00e3a0aea2fcdff6', '976cdb75e3f78c9b']; context = [[5, 64], [6, 58], [17, 92], [8, 94], [32, 81], [3, 50], [6, 93], [0, 49], [3, 66], [16, 86], [14, 98], [4, 57], [119, 206], [2, 67], [43, 130], [16, 86]]; loss = 0.010244 low_pass_filter = 0.300
+Epoch 0: | | 36909/? [6:58:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 36910; scene = ['ae5d2c4b438a407b', 'ebbf8fa5e83a4124', '771b9ab514763b57', 'adf93d431ae2464d', '1979410f58bcec2f', '0b7bb37506071244', 'fba3ed30e62af988', 'af5a2cdd7f1dc3c4', '26b2c1728be65cbf', '914f828dc7631ca7', '8b7c741e63766c48', '7b10966e85164c25', 'a280c9c34af3cf3d', '7d7759b7cb06c9a3', 'e5a0aa552fa5c442', '41cbd594e78532c4']; context = [[12, 82], [4, 73], [16, 71], [13, 63], [49, 103], [12, 99], [25, 103], [102, 159], [11, 65], [76, 127], [1, 50], [45, 93], [4, 82], [4, 62], [14, 84], [5, 68]]; loss = 0.010198 low_pass_filter = 0.300
+Epoch 0: | | 36919/? [6:58:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 36920; scene = ['583048ed25adad4f', '1dd9a0ed267383c0', '2abadda3f12274a2', '6726f4b1be3b02e0', '09c7171529d82a2a', '2b08d88dc7851fcd', '254bab680a316f9b', '6be724a70229bc17', '939a8aa139d55a9a', '1545821f510802e7', '8604fb955c771d23', 'dcf621e6a39c58b0', '81ee97f3eb44b898', 'd8cc6b23c3a41c4b', 'b9e0629edf084b12', '174258c0129fc8b5']; context = [[47, 125], [1, 50], [11, 76], [0, 44], [4, 63], [46, 99], [2, 74], [11, 90], [11, 66], [2, 49], [36, 85], [42, 115], [13, 73], [3, 71], [27, 92], [208, 268]]; loss = 0.008143 low_pass_filter = 0.300
+Epoch 0: | | 36929/? [6:58:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 36930; scene = ['aa20915f7a4f4154', '72b929edfd147876', '6aa7eac0ee8724c7', '28e1889569b206aa', '23c1ccdbb82ee29c', '9d4bb3c6783e57a8', 'dd8f995702591ba7', '76da738b80b894c6', 'db537420efada436', '909da0bab82b1291', '0b33181143dd3303', '1899f9503591706a', '0935b1ed5367813c', '7b2378ebd9c53c89', 'dfd7ac5b3120d4d4', '2b9e7a6c7c3cbacc']; context = [[55, 100], [4, 79], [6, 79], [6, 86], [92, 155], [7, 95], [6, 57], [160, 248], [43, 107], [20, 68], [88, 174], [88, 144], [32, 108], [30, 111], [28, 104], [16, 65]]; loss = 0.010143 low_pass_filter = 0.300
+Epoch 0: | | 36939/? [6:58:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 36940; scene = ['9422ae076b340dfb', '470048cb4a7dd828', 'dd5b36ad4d2b02c3', '112e8138ff0b1d32', '0c00e828c7918a6d', '1dc3ddc37434374d', '391fbd8d9a5d869a', '72041f589d07cd7e', '5a15bfa3cf370b32', '4528921befeba748', '9ffccde4a0d78f2e', '8830b20432cd32ff', '9531bbcacc25b355', '5932891d3ec96fc0', '79fa0adb026040fb', '4b670fd16f86b860']; context = [[105, 165], [0, 71], [70, 152], [0, 86], [1, 49], [0, 60], [225, 276], [4, 90], [3, 48], [40, 118], [25, 103], [83, 171], [45, 124], [75, 155], [18, 70], [77, 137]]; loss = 0.013195 low_pass_filter = 0.300
+Epoch 0: | | 36949/? [6:58:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 36950; scene = ['55706f538594e6cd', '76c2816ceb28ae2d', 'de01308c20eca844', '2a4714c03e4c9d50', '8db9ff38e05c3ffa', '23f56c968e90b308', '598eb9b46185951c', 'a34da6e33030e973', '31c9c7c73f642cf7', 'ad1e3d2c65e67172', 'b10e2cfbec255d44', 'e8ce258cf5f7231d', 'dccef2390d0b6851', 'ef3467589fd3709e', 'd7fd0247a853f44b', '60531462424bd617']; context = [[42, 89], [8, 69], [2, 46], [3, 91], [1, 46], [4, 63], [131, 181], [9, 95], [16, 64], [152, 220], [0, 46], [7, 59], [1, 89], [9, 64], [84, 168], [3, 91]]; loss = 0.010744 low_pass_filter = 0.300
+Epoch 0: | | 36959/? [6:58:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 36960; scene = ['971dca8bfc785d6a', 'd251cc493cf50645', 'f6150b6900398acf', 'cdeff74401a72900', 'b0b09f51a1cb4758', 'fbdfd869461c1531', '7bb8d358ee6c9c94', 'f91fc5f7816a4cb5', 'd71c2d50ee22912b', 'fc4a6c4868d6ec25', 'f1ef7c1adc5ec36d', '943438bbbc464d68', '79c4a5514b4df522', '57798145cad91eeb', 'ef9870cbc94fe475', 'fe2eddcb5f8419b0']; context = [[17, 95], [0, 47], [26, 73], [193, 245], [14, 94], [1, 55], [38, 92], [11, 61], [18, 104], [121, 186], [18, 97], [2, 64], [82, 136], [4, 66], [148, 224], [5, 94]]; loss = 0.011078 low_pass_filter = 0.300
+Epoch 0: | | 36969/? [6:58:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 36970; scene = ['8b1ff63cc4865447', 'e0b6e08936e4eaa3', 'a5ba0427831f1af5', '11751475b329cb75', '84bc0c3aee58171b', 'b955173d519e9fa5', 'dd2e4bd9af9c8fc7', '20ccfe317b497829', '7ebf367cfbc52593', 'ad5885cdf02ba3aa', 'f98504942ac68c3f', '6f9c7ad031578758', 'e9a018b75e1c0ee9', '36348ea97b54d0dc', 'bc5c89ccb8b60ee6', '1916ec563ca4d9b6']; context = [[88, 148], [74, 159], [140, 227], [142, 213], [15, 94], [0, 44], [5, 87], [18, 88], [11, 78], [13, 74], [96, 151], [103, 158], [37, 87], [0, 44], [11, 58], [4, 77]]; loss = 0.010083 low_pass_filter = 0.300
+Epoch 0: | | 36979/? [6:59:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 36980; scene = ['0635a3619c622723', '094bcdb1f7a09811', 'ed53bf7b8e6dc9d1', '5b6d2302ce6b01fe', 'a9904976adc1707a', '873e47aefa88e8cc', '3bcd60aa10534c91', '42c80ebf2f08c5a1', '8e043c9f1c809d9f', '98302f005c2b935a', '12fee7f1978d52f1', '075eae6b9afc3d7d', 'c2838c7e3abcd62f', '5c51f952f16de104', 'bc825dce25ce4f41', '4acf06353e51ea6d']; context = [[6, 76], [10, 60], [47, 118], [0, 51], [5, 80], [0, 67], [180, 248], [150, 216], [9, 69], [9, 95], [27, 102], [0, 71], [13, 80], [4, 50], [26, 86], [54, 134]]; loss = 0.014362 low_pass_filter = 0.300
+Epoch 0: | | 36989/? [6:59:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 36990; scene = ['d2fa1d6b21f973f7', 'bfffd931c07dfe33', '72c1964616487513', 'ac38d17472a8926d', 'ce8a47555d5628f0', '3908eea16117a6c9', '362f4c367cc1f9c2', '0a04715dddb019a5', '9f5c73121bfb63bc', '6eba2ce3df793175', '5deba6c5d5b62d79', '892b882565bf1f70', 'c9db6f67fd60bf44', 'f2ae5833a73ab66e', 'ede2997f4bca7dbe', '1b1ae7b669835036']; context = [[30, 89], [24, 105], [102, 158], [5, 69], [26, 71], [13, 78], [6, 60], [74, 142], [189, 258], [141, 225], [62, 151], [98, 158], [139, 197], [99, 175], [121, 180], [26, 95]]; loss = 0.012792 low_pass_filter = 0.300
+Epoch 0: | | 36999/? [6:59:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 37000; scene = ['38bca052a0bd63ea', 'ffc8d0b26207836b', 'e29e594e3e97c9c6', '32cc836f91364cea', 'beed386ec78be86d', 'b8b663fa868cf351', '24460889a8c443ff', 'd6acf1a3ce5c4987', 'b3b4c7f9d5867f2c', '9487c0d062e3b8e5', '26d3d09a9cfd563a', '863466beea29e2c8', 'd56cf1bb0dfd5d92', '3ff92767e37eb62f', '360fb277b32a0fea', 'e0c06d9954d16a41']; context = [[9, 72], [36, 103], [8, 75], [18, 98], [3, 83], [3, 92], [20, 75], [91, 173], [2, 75], [7, 68], [7, 82], [140, 210], [45, 113], [75, 143], [112, 165], [2, 48]]; loss = 0.009437 low_pass_filter = 0.300
+Epoch 0: | | 37000/? [6:59:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0validation step 37000; scene = ['86b75053e13f6172']; context = [[15, 59]]
+Epoch 0: | | 37009/? [6:59:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 37010; scene = ['ab8e85f5557ce4a3', '886a2cd1ef72b491', '1d93a3fb8b07028b', 'd0342267434bde9b', '5dbe8c5a7cd369f3', 'cac84a71e48219aa', '4d47923e78e568e4', 'fc2059a30fa154e4', 'c2de1d81f1dbb6fb', '4c48be787e8731b3', 'd026c1b01c69d9fd', 'a0468bcde5680b1d', '32df4544077b104b', 'e14b9241bcdb4d3e', '0bc21d918e81588f', '5606451b2952b4d6']; context = [[0, 77], [164, 230], [18, 89], [21, 106], [16, 89], [98, 164], [18, 92], [11, 62], [20, 97], [35, 116], [77, 126], [6, 81], [7, 82], [34, 93], [5, 77], [3, 51]]; loss = 0.011152 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 37019/? [6:59:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 37020; scene = ['5e33a4da5ecddaa8', '839a7dc465babb6a', '7944997c5cc8d4a3', '10a912a578eab6eb', 'a4e1c1a1fd21c031', '1e2db9c385736612', 'c72e5c5b93465fd9', '156a99bdda94ab15', 'd9d387021859984c', '9182eb6535116035', '07d45f8aec3ef9d0', '6c588b310610da28', '78a813c1cdfa752c', 'e79b8bbf1bdefca4', '39a56aa5e7a8b4e4', '4f515c197a061a67']; context = [[111, 198], [49, 111], [105, 154], [10, 96], [11, 95], [32, 120], [124, 208], [36, 86], [16, 82], [14, 99], [92, 137], [1, 79], [15, 99], [136, 203], [6, 56], [13, 93]]; loss = 0.011000 low_pass_filter = 0.300
+Epoch 0: | | 37029/? [6:59:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 37030; scene = ['4c32929b9bde96fd', '949a7f0d7878749b', 'fd1262efb99b8fa0', 'f5ea225f5c7fc039', '507b9f1675988055', 'c53eb8ed399c3598', 'bda51613b8944e3a', '08c6d6ab90e6b86b', 'd1a6d6a046f37dbe', '79632305e38f4e61', 'e313fc42cfe43a81', 'd67ff3b1493cf038', '931437c7f8178635', '5105fedd23e13f92', '15f89ff3e4a8ddf3', 'fa3c714f9feb0ca1']; context = [[99, 173], [45, 104], [7, 62], [42, 121], [5, 53], [63, 138], [0, 49], [0, 50], [8, 54], [58, 113], [17, 63], [143, 217], [65, 119], [154, 230], [38, 107], [54, 99]]; loss = 0.012325 low_pass_filter = 0.300
+Epoch 0: | | 37039/? [6:59:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 37040; scene = ['bd0f82f93d5693ca', '52aa7676145d5273', '478386221245bac9', 'c49e7882e04566c0', 'fbeec1139406c2c0', '0d326464d7cb32e1', '73c59e5d16858a41', 'd12502ac93ae80d5', 'eead71c22d5913d7', 'd013dfb68f701a1a', 'a24365e23632fdec', '4436792afd7385fb', '9a7b5d280d58af92', '2cc2aeefc2ed77d1', 'bb3d43e57b5dff80', '08e3a573008a2c6b']; context = [[178, 228], [60, 146], [51, 107], [2, 64], [4, 69], [68, 155], [1, 57], [41, 103], [11, 60], [39, 90], [11, 82], [114, 166], [8, 62], [121, 183], [38, 126], [4, 79]]; loss = 0.009814 low_pass_filter = 0.300
+Epoch 0: | | 37049/? [6:59:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 37050; scene = ['211274b1f1c0b2f1', '9e14e353fb17c4e1', '93f798863c448d60', '774b295adf0ff0cd', 'e692180a42b33409', '99165d98e0be439a', 'b3695e4fadc9118b', 'fa14af07fc50d2ce', 'e0b4d5d763af7191', '4fc0da76742961cd', '7d4f88d897aac9e1', 'b5228b26c99db999', 'ba7ccf57b2511a90', '629506e3f6b8d7ab', '66e50acd846b2cd1', '111972c5ff606fed']; context = [[7, 56], [4, 71], [53, 117], [122, 191], [5, 85], [3, 54], [0, 71], [20, 103], [29, 78], [17, 80], [5, 81], [23, 70], [1, 59], [3, 69], [172, 226], [127, 190]]; loss = 0.008950 low_pass_filter = 0.300
+Epoch 0: | | 37059/? [6:59:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 37060; scene = ['ec719970f17f2eed', 'b7b258cdbcf3f630', '7111ae9755f6fbb2', 'b6d22d6bd307cc90', 'ce31e33f156aeec5', 'cdcc58497fc89b85', '756a0a00121f53d3', '824c0e56d62f7342', '3f23fde9f471891d', '03dff49783e3e29a', '4a046dacba4318a9', 'cd30b082ae6fc960', '89eda44370699ae0', 'b7e0e4f979fd485f', '38d7f9658cec02ab', '28cb5b04aeb2ffcb']; context = [[6, 84], [16, 75], [47, 120], [105, 178], [32, 88], [6, 53], [11, 84], [90, 160], [23, 73], [28, 98], [0, 78], [86, 162], [79, 147], [157, 243], [5, 69], [59, 120]]; loss = 0.012203 low_pass_filter = 0.300
+Epoch 0: | | 37069/? [7:00:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 37070; scene = ['2595d3a0144c9949', 'ea8d853b968e25b1', '8b9a04c6ae39cd63', '14467edbc6b3c25b', '1808b1a7f1c93d66', '80bdd8d93d4fb6be', '57ee1cea0284514f', '09f01ea6da02863d', '296f8280d8af193c', 'bd695f52931a2fc2', 'b0c532bf94eeb726', '56453c8b912ad0f8', 'ab04798f9ddd9aa9', '71222ce1f9bca7a6', 'e33d4bd8288fc69e', '064259812e015154']; context = [[10, 63], [5, 65], [33, 114], [194, 271], [38, 109], [11, 81], [11, 68], [2, 68], [21, 79], [0, 70], [170, 216], [11, 65], [78, 155], [0, 58], [135, 209], [39, 90]]; loss = 0.010178 low_pass_filter = 0.300
+Epoch 0: | | 37079/? [7:00:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 37080; scene = ['1b7697fd8dfb8717', '6e2c73ab63bf5e87', '081919bf31bf790c', 'bd242939c1449d8e', 'baebb7f6b21b1b2d', 'c85ef98584c441bc', '07a7501a512358e1', 'ec56ecaa7be14db0', '74aeb62f3246d73d', 'b88bb5a497a3359c', '4558a4e86660273a', 'd963397c195c1af9', '676a62bb7947d66c', '58cadab07998fe5f', '7514f3b17589785b', '5b8976bf2748f77c']; context = [[23, 85], [187, 231], [51, 118], [111, 172], [53, 101], [13, 60], [35, 86], [132, 202], [62, 123], [30, 112], [67, 128], [3, 47], [22, 76], [7, 67], [0, 73], [179, 229]]; loss = 0.010114 low_pass_filter = 0.300
+Epoch 0: | | 37089/? [7:00:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 37090; scene = ['ab0df7dfba225813', 'cf5a9d93df10f156', '6cb26abcdbe1fb40', 'a92a2144824ec5d0', 'bb9481478f3f6d69', 'e0473d7d656f6e17', '69c1746d1fc7c807', 'ac0a5fb83c20516f', 'fd2c850e3620104a', 'c577c31302675f04', 'f818a2808c5d168c', '55ff5f5024b9f532', '60b23fcb19992892', 'daf3b5445dda23fd', 'b3aa335a5095564b', 'e485f3bd0dd46f04']; context = [[5, 73], [18, 98], [41, 125], [27, 114], [128, 213], [1, 66], [124, 187], [126, 184], [173, 242], [20, 105], [16, 62], [6, 58], [16, 66], [0, 69], [4, 53], [91, 169]]; loss = 0.012247 low_pass_filter = 0.300
+Epoch 0: | | 37099/? [7:00:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 37100; scene = ['a7bfe4e8a677da50', '513ae69355efb81f', 'd0832724bf5ee75a', 'ca21a012336de65e', '0bf19acfa975633f', '5498b21b7b980c1f', '85ae1f079da846de', '1b89b77599ce54a9', 'ac479806829623aa', '6caaca2888bf21b0', 'd716e55e1b3aa92b', '6859171f9cb5eb08', 'c6ffd5261f0f75b8', 'cd07ac1bbdb3d7aa', '27a48b30775e1aba', '3d9dd3d10965c92c']; context = [[42, 128], [61, 109], [30, 85], [0, 75], [113, 196], [0, 80], [6, 75], [170, 232], [11, 96], [75, 148], [52, 98], [15, 77], [1, 82], [33, 122], [97, 154], [18, 103]]; loss = 0.011958 low_pass_filter = 0.300
+Epoch 0: | | 37109/? [7:00:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 37110; scene = ['8da7141e1cd38738', '201f15a82f1a6420', '4af1f17f12d4e92b', '318d20fd78d7b165', 'b856c67d256f6953', 'edcaf729239e0b9a', '359ef693ed153386', '84c7bdecb993937c', '1751cf595b735b68', 'aa657e100b8527f7', '319060dd0c19e45f', '8c9a5a33a9196f8b', 'a89f8c7fe80f98fe', 'e759c9dbca6a0818', '22858483b5c3a9e6', 'f70ad09abb9f3df7']; context = [[19, 103], [16, 100], [3, 66], [18, 91], [39, 128], [7, 64], [3, 89], [1, 66], [14, 59], [7, 73], [7, 70], [35, 79], [15, 91], [24, 90], [61, 116], [0, 74]]; loss = 0.010793 low_pass_filter = 0.300
+Epoch 0: | | 37119/? [7:00:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 37120; scene = ['9f7fb6a4d5bc5b5d', '598405d8c5ccc93e', '7c50a3e751ebfa5f', '6591368967629a3d', '5c4fb0add49cbd58', 'dd8e8d5c7c7f2e8a', '8aa54d54952c746c', 'c52cef7d7890369e', '316efce0bff7c388', 'ffc2f67f24e55466', '7f3900d49cac35a1', '59c434434c6ef3fd', '42a2a2c546bb8d24', '8465e83049a2db4e', '2d3a3b950f394d5b', '56872ea2e441a7d0']; context = [[12, 71], [5, 82], [160, 210], [152, 197], [0, 75], [28, 114], [9, 78], [149, 193], [217, 262], [67, 132], [16, 64], [4, 72], [20, 101], [3, 73], [16, 82], [1, 79]]; loss = 0.012270 low_pass_filter = 0.300
+Epoch 0: | | 37129/? [7:00:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 37130; scene = ['df7e0cf9a0b8c0b8', '5aa82cb1d8d4832c', '8e2fd6cbc2bad37d', '589c32ddba36eada', 'ef056d57c9f47156', 'bfa4146967e24f8e', '30a0871ca9bf7133', '7be76bec29cf8f3c', '57fea3ba60e21f7b', '293cd4ea27b9d506', '4c206a668c76614a', 'c7844a02eecf3a20', 'cbf08a650761cb10', 'd3e34d281b05cfbd', 'b5eaddf4ac5c6f62', '4b1ee57bdbda4b1f']; context = [[15, 65], [2, 80], [0, 63], [97, 151], [35, 87], [7, 62], [110, 170], [71, 119], [47, 113], [20, 80], [27, 73], [0, 71], [19, 66], [3, 90], [41, 111], [4, 63]]; loss = 0.013422 low_pass_filter = 0.300
+Epoch 0: | | 37139/? [7:00:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 37140; scene = ['47c9630112006011', '4291eb01c594fcb2', '77d1f14fbdc4c65e', 'f6aed65bf9ebd5a9', 'e00923b588e1ca61', '4760844c0baec9fb', 'ebb69f1382aeeaeb', '262491e354ac8385', 'f51801efa09d2209', 'a40883cee3d7f428', 'ecbd583dbf8f0b2c', 'b5e2fc1757ca5400', '855f360a6975676d', 'bf0d03380474d38a', 'd9ba9b4f5fedb65a', 'cee7db39524bd776']; context = [[13, 60], [8, 79], [65, 153], [5, 59], [160, 214], [67, 145], [1, 58], [24, 82], [0, 44], [16, 72], [60, 105], [90, 153], [12, 82], [6, 95], [218, 277], [0, 74]]; loss = 0.010535 low_pass_filter = 0.300
+Epoch 0: | | 37149/? [7:00:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 37150; scene = ['6f3e34c8d2f3568c', 'eaf53403cc8fc00f', 'cd2a8b442f09b208', '0db9e62369719bc9', '213f00b1b81a1208', 'ad94a851400c5736', 'f40dcee8e5d60508', '38af842287d226de', 'a8cb13d02b8d08a7', 'fda5437ee76b48fd', '123647e02b47df3d', 'bd182d46b53efd66', '5bbaacbbd512b476', '8c9a1857ae2de88f', '59533641941829e5', 'c02e332cd10f31a9']; context = [[10, 55], [32, 84], [38, 93], [4, 50], [24, 68], [45, 107], [89, 169], [48, 125], [64, 135], [25, 90], [33, 87], [108, 171], [62, 129], [9, 87], [111, 197], [41, 127]]; loss = 0.012550 low_pass_filter = 0.300
+Epoch 0: | | 37159/? [7:01:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 37160; scene = ['0dcb0cad41a1f81b', 'e396c06362a9960a', 'e4e3c9b05269ee77', 'cfdced6ed0dc318d', '0e61cbca4ffb2d66', '054936f3b9535400', 'c004cae33c43f3c4', '5e7cc1952a622fc7', '373f36d9a38e0ffb', '62a41152e0103736', '934abcda4ab6700a', 'db95ce78ff912a33', 'f29abb44460d0755', '118a661d65b4f172', '2e9c930a8dd5726d', 'f6dfd1ff883e31a0']; context = [[6, 64], [191, 273], [78, 147], [102, 151], [3, 64], [25, 89], [198, 263], [1, 87], [6, 66], [22, 78], [6, 83], [1, 55], [1, 65], [3, 58], [1, 85], [4, 56]]; loss = 0.011707 low_pass_filter = 0.300
+Epoch 0: | | 37169/? [7:01:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 37170; scene = ['7bddba236aa29cb9', 'b9ec2a6854380d1e', 'dc87934d7f34745e', '48484bc80ab3887e', 'ebefd3d3a8cdee66', 'a17f771d765f1b3c', 'ff0c0d8c4fba54e0', 'f6240fed8b5ff570', '96d49f97fbf3c97f', '3f293c7a896e1d7b', 'd63e656427d56186', '4d840c475e5a8db1', '44e5847e0e0166c6', '6ff2ca5ecd3a0add', 'e9efe0fcc7a09cba', '419b1c98c2bddfc4']; context = [[25, 97], [51, 104], [84, 167], [74, 119], [12, 87], [168, 255], [30, 93], [13, 66], [14, 68], [8, 64], [113, 191], [51, 133], [149, 209], [51, 139], [72, 117], [65, 132]]; loss = 0.010377 low_pass_filter = 0.300
+Epoch 0: | | 37179/? [7:01:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 37180; scene = ['0c097b18870797b5', 'd516f4060df38c96', 'f8c179a0d6a215d6', '5ba48fe9cd340bbc', 'd9de6afff609db5e', '9a539a8e149d73fe', 'b887ad2fba113b46', 'f2c3c7f148852db3', 'a6f084400351a290', '42a56723df581f2b', '300fc711948c8e17', '46a2fb45a3fca41d', '4383610b9ef9bf1b', '690befa9a6f87dc9', '7f77277a848125f9', '79eced61f47a2a03']; context = [[90, 143], [6, 64], [1, 65], [4, 93], [5, 94], [10, 99], [4, 53], [17, 96], [70, 128], [8, 65], [5, 61], [19, 72], [18, 97], [1, 60], [17, 106], [14, 67]]; loss = 0.010485 low_pass_filter = 0.300
+Epoch 0: | | 37189/? [7:01:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 37190; scene = ['d77aac464bf67157', '237ba5495c4df4e5', 'e703ae014c23f104', 'bca840550b078409', '52c03029aae94747', 'f65d66cfd92cf77d', 'bb2134d7b8ce27e1', 'cd2224dc5cf1aeba', '9fee40ca582e58d6', '14bb80a024efa7f7', 'e0a3d93c32415baf', '22dbf576eb8db504', '10f90d9c4a367c03', 'a5b6cacfd48c1a22', '3cb91e14821b7e05', 'f350794b2c5ff77d']; context = [[0, 58], [2, 57], [14, 81], [50, 100], [128, 176], [22, 110], [13, 87], [211, 275], [11, 84], [2, 75], [19, 69], [2, 77], [0, 75], [13, 80], [0, 61], [10, 94]]; loss = 0.013637 low_pass_filter = 0.300
+Epoch 0: | | 37199/? [7:01:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 37200; scene = ['62c2edc48b267fd5', '46feebcb8a06d358', '3d2c547f7bec4c73', 'b8b0b7d8a4ed6978', '0377dda9f7523d84', '01789229a85a4516', '6474d8cacc2f28fe', 'a3e1454634601a50', 'decd051e0c40f8ec', '965ec1449069644b', 'ddbd515bc8c98936', '0d72c563766e5a38', 'bae2ba40b2703313', '2dc680ab9533912d', '465249a4ce4bef29', '5a56c4b9687b88c9']; context = [[15, 71], [80, 126], [47, 100], [3, 73], [20, 85], [7, 54], [111, 158], [7, 62], [0, 57], [12, 72], [40, 128], [64, 141], [46, 135], [26, 73], [16, 68], [0, 83]]; loss = 0.025772 low_pass_filter = 0.300
+Epoch 0: | | 37209/? [7:01:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 37210; scene = ['cf05de0bba53f3ba', 'd7eff3b592d43b5d', 'd6101105e2422849', '2763529750c23b9c', '4244bee7470b8df7', 'be6ef75da859e939', 'a03d3ae93a3b562c', 'a610a0429a65252f', '4dfcbe2e024d6f87', '785a6f3ff2cb836b', 'b3a1c03be2a34013', '384fbfea1a24cc4b', '2fd88165c45d4bae', '14a5a9be7c637dfd', '05927b7094d0cf92', '0c808be8b8b4cf9e']; context = [[201, 245], [3, 77], [24, 87], [117, 171], [0, 50], [6, 87], [1, 58], [0, 70], [5, 56], [55, 105], [0, 66], [5, 91], [27, 72], [17, 72], [75, 134], [10, 69]]; loss = 0.008430 low_pass_filter = 0.300
+Epoch 0: | | 37219/? [7:01:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 37220; scene = ['6a0c40520833351c', 'b2910c36ee64cd20', '59cc7e5e11910e19', 'd3741e9507f27e73', '2a4a3612a4931819', 'c8cc2a7aea1ae283', 'e899eb532d5b5af7', '167e9f7f27f4606b', '24d6f8b7af5af475', 'ce8dd26daacf2d00', '6306786de63f1537', '7df9941d67654aac', 'cf44c57a316bb7df', '4c212add50c782fc', '3fba1e83df500eed', '82d3d6fc3f681f9d']; context = [[141, 208], [10, 79], [0, 72], [143, 187], [65, 122], [181, 239], [23, 92], [188, 277], [12, 62], [2, 49], [25, 92], [14, 63], [1, 74], [186, 270], [125, 187], [36, 114]]; loss = 0.011946 low_pass_filter = 0.300
+Epoch 0: | | 37229/? [7:01:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 37230; scene = ['e49c34ff7ed32c8a', '3f99cb9bcafde8fe', 'ecc8438134a2638d', 'ade5d1325a93bcd0', '39affc04f4fec373', 'e0458dafcf2e0e90', 'acef2a117f896650', '22883477ff44a8d8', '2ae25c1ef4ee35e7', 'c837254d87560e25', '399a3e5cb7ce3429', '2c69823bf64bcfa1', '01cddbb85517cdc8', 'b9e08c2b547d9c86', 'fd92c868ebb1c008', '57f1c3af485f1a5c']; context = [[1, 77], [118, 173], [7, 67], [14, 83], [9, 97], [3, 92], [2, 52], [17, 106], [17, 71], [78, 159], [80, 147], [26, 88], [8, 56], [1, 52], [9, 53], [1, 68]]; loss = 0.009482 low_pass_filter = 0.300
+Epoch 0: | | 37239/? [7:01:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 37240; scene = ['127766a21c321077', 'fd0e20ed6215b2fc', '6d2109b33cf763cc', '703d57d94e02af31', '23210d2dcde4e053', 'ec42a73c94927b3a', '5e81dc6c5ab2aa24', 'df2f73d4e0bde932', 'b37be7029a156f43', '93f679ba8100e654', '5a108aa4cc3921a1', '187574c1c6b88d66', '7dbd9d5adbc298b4', 'f4bd64444124a20c', 'e24bcd02fb1d6e1e', '1afdeca5e59e0ac3']; context = [[30, 75], [104, 163], [34, 82], [110, 163], [103, 188], [21, 72], [29, 96], [130, 178], [18, 70], [156, 225], [10, 99], [168, 233], [24, 81], [28, 98], [1, 78], [18, 63]]; loss = 0.010091 low_pass_filter = 0.300
+Epoch 0: | | 37249/? [7:02:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 37250; scene = ['0ca219e558a9ced6', '6454334af1aaabd9', 'abffceaf0098faa8', '853afb68eecbe04d', '59de2764607e1b8f', '71d24f4e70b1596e', '1d08d09515970972', '1a251dc2dac5cd26', '041961a78dfa080d', '36047ec1694f9d49', '79a9385753d426bc', 'f4f30c940e7c5d0a', '18ba931a508cfce6', 'fefc591b7024d57a', 'd8100e3a65dc0be4', '863e3470b4bec698']; context = [[49, 112], [55, 128], [6, 50], [35, 108], [60, 142], [101, 160], [6, 63], [5, 69], [58, 136], [17, 61], [55, 144], [46, 106], [2, 47], [46, 95], [119, 188], [183, 246]]; loss = 0.010529 low_pass_filter = 0.300
+Epoch 0: | | 37259/? [7:02:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 37260; scene = ['e5b2e476d8964707', '4fb3db43b25c1b5b', 'db252809f42d6640', 'fb363e2a9e955254', '7d4ae8b068dd56e2', 'c2057db756174225', 'bdcb6598be7b9526', 'e1bc9239003a5abf', 'b8957b5a607ba2f2', '9b2ed1cbcfce0907', 'f031d05503fbf499', '83f1586e36912120', 'd0dbeb1f49cf3a94', '2827b0aae8ec97a5', 'e5b61893af5af503', 'cd423ac17f3531b9']; context = [[20, 71], [16, 102], [29, 77], [79, 138], [143, 198], [0, 58], [53, 103], [178, 245], [9, 77], [13, 91], [58, 143], [2, 66], [4, 60], [1, 69], [0, 50], [17, 69]]; loss = 0.009545 low_pass_filter = 0.300
+Epoch 0: | | 37269/? [7:02:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 37270; scene = ['c1c55dd1847bba42', 'ed22594386b563a1', '10ac2115c6a95ae3', '158ecf8d21e5af57', '4cbfe8634b73a1e6', '41da3d3e9f892770', '6ec5fec42f9856de', 'ca47232b7dfb2089', '0aacb7ba20d5b2de', '916b86f95631b480', '91fe7fba685c53b0', '9a4d4f8962081428', 'dfe58e223f079215', 'b43eae80d9b59fae', 'fa9f019e1226ba08', 'd24bb3503cb81519']; context = [[124, 206], [0, 52], [5, 51], [2, 56], [67, 152], [47, 94], [3, 69], [48, 118], [20, 104], [6, 91], [35, 80], [65, 114], [16, 91], [10, 64], [15, 79], [16, 94]]; loss = 0.012052 low_pass_filter = 0.300
+Epoch 0: | | 37279/? [7:02:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 37280; scene = ['24ce6ffabc07ab12', 'e7389c12d966a072', '39bb5aa9284997dc', 'e0222b577fdfde97', '17a3785a7d58531d', 'c3f6971df97e2897', '2a4692e93110dcd6', 'eae116e50dca5b4b', '47d88b09246dad2e', '3ec7b2a13295083c', '356ddf471fb381b0', '44d7eee3fa208b6e', 'b163163dd0e2f7e2', 'cfe7d2764a367f81', '03704dad48e824f9', 'c8c034439fbe43f2']; context = [[1, 52], [88, 143], [1, 55], [138, 194], [11, 67], [12, 61], [25, 78], [17, 70], [10, 60], [25, 82], [0, 45], [6, 75], [0, 49], [36, 85], [19, 97], [6, 50]]; loss = 0.009318 low_pass_filter = 0.300
+Epoch 0: | | 37289/? [7:02:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 37290; scene = ['3c9cc4d395328b64', 'e33fe4265015eab3', '4ef60b7c94a88741', 'ff1686153c503b0c', '1a4dd16b9b911cf0', '8a87ccffef19b65a', '42d7020bbab0052a', '3151f48fb640d69e', 'fefa4193d759dfd6', '46a78ac601ddbc10', 'cb0866c6302d4c93', '2255dcc7a505e0de', '250bdb5bd7ee5aef', '088d4118cbe16c97', 'b96a9c7f51d619cc', '1fabb902ef63f533']; context = [[85, 134], [8, 74], [9, 53], [1, 61], [0, 58], [73, 143], [84, 168], [23, 67], [12, 67], [3, 76], [16, 83], [13, 75], [12, 81], [83, 141], [4, 73], [2, 68]]; loss = 0.011879 low_pass_filter = 0.300
+Epoch 0: | | 37299/? [7:02:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 37300; scene = ['1007050ea4602db0', 'c5e355f5e0003838', '589a63f0ffec1297', '52e8de02bb42c2b3', '94c931fd2c558de5', 'a79925c451666231', '6cfe3c7146df3d9d', 'eba2d56e2f7d8c50', '6f874533f773782f', '7fc67d683924a022', '06305d12bda0f8d1', 'e1bdea7706379ebb', '74a2add23fb6138e', 'e2b1f82a439706b8', 'e06779c191688093', 'cbcf75cdcf158a97']; context = [[3, 52], [7, 89], [44, 122], [2, 64], [35, 97], [36, 90], [74, 157], [2, 64], [54, 127], [14, 83], [1, 66], [1, 67], [98, 177], [2, 54], [27, 92], [54, 107]]; loss = 0.010774 low_pass_filter = 0.300
+Epoch 0: | | 37309/? [7:02:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 37310; scene = ['acefb8ef31722674', '4896c75fdd4bd133', '33c9e5240e592f99', 'e99e4a230005fefa', '0e875b5d0e45bd73', '5c6c6c70effe40ed', 'c1aad512bc9d3879', 'a0030d74c6d8a763', '8d5166588c8bc829', 'a8fc97a36a050e6f', '8e1f97d8a91169b8', '794f82190c77df55', '350abc56828c23a5', 'a47bcdf9bd890995', 'a6a55b3c0ac5e758', 'aaea1523d175b491']; context = [[67, 115], [73, 157], [61, 114], [1, 88], [70, 143], [5, 54], [20, 68], [8, 87], [4, 89], [19, 81], [40, 127], [57, 101], [26, 106], [63, 142], [50, 126], [12, 100]]; loss = 0.010660 low_pass_filter = 0.300
+Epoch 0: | | 37319/? [7:02:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 37320; scene = ['d38ceced483801a7', '4f6f5afc21c3700d', 'dea4f1344575ac36', 'b196f9835e7c44f6', 'aa6f4e19536dbff6', 'eb425ed48c29872d', '0d9a105c2374b898', 'a6cb8fb613e79662', 'c368676e54ad8b2a', '956590dd8707a291', 'e6dd3fbd91151b5f', 'd12eaa23dc8bdf11', 'f7de09db1a698fdb', '83c6fd3484bd4fd1', '444acbb6c0877842', 'fe23698b552751d5']; context = [[7, 87], [5, 50], [154, 232], [187, 234], [9, 70], [192, 273], [12, 58], [12, 64], [16, 96], [0, 78], [97, 168], [18, 70], [170, 237], [0, 49], [13, 70], [0, 74]]; loss = 0.012049 low_pass_filter = 0.300
+Epoch 0: | | 37329/? [7:02:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 37330; scene = ['2fa732c2181aba9d', '4fcd6477d1537474', '21b7991bce6e5630', '4f8f97692c8b6ac9', '70deadad561a7c59', '4dc998a7ac265049', '84c580445051e204', 'fba4cc575a011d72', '21a72bef7976762e', 'a66b89aac7e775d8', 'c82fb4a28a0819f2', '2de6f75ff7a7575f', '35878695a2ff24ac', 'c21489d891e26fa4', '050a56996ce60a4e', '2b94ab07e1959c26']; context = [[22, 75], [32, 103], [4, 70], [1, 45], [159, 233], [39, 84], [26, 113], [70, 151], [8, 60], [60, 123], [109, 176], [197, 271], [8, 82], [57, 114], [117, 192], [24, 101]]; loss = 0.012043 low_pass_filter = 0.300
+Epoch 0: | | 37339/? [7:03:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 37340; scene = ['1f6ad370994d583b', 'b5e0441cfe20034c', '60981b21dabe4e2a', '7816c7773e13c822', 'efcc8e5b3e5c6ceb', 'f1b6e93f27fd5770', 'ee5c6bd8fe1eecae', '8f5ddb008afa3cb5', '8d055c85341ef5be', '90a01a4bf92139d3', 'f6a5937f861bc798', '111a2975a86f6e89', '0f1770edc4686804', '661c9d87c961a0e3', '664ad76c825a89a4', '519e791a79112caa']; context = [[135, 179], [11, 58], [2, 49], [17, 90], [61, 118], [169, 224], [9, 86], [157, 227], [47, 132], [35, 93], [17, 74], [126, 192], [1, 47], [2, 68], [1, 45], [26, 91]]; loss = 0.011129 low_pass_filter = 0.300
+Epoch 0: | | 37349/? [7:03:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 37350; scene = ['f9ee709c7030fa87', 'e05844d42038bed4', 'cfc74e7e4416207c', 'ab0aa8aa12dbeb28', '857b8b79d1d97fc6', '44a70efa7340c337', 'a78160aa2032339a', 'bca02cbb5d54d742', '4c59acc6f25bd624', '90b04edfae620c63', 'c73baa525c7917c3', 'ee8ab2f1852dbad4', '009e7b2d81e10364', '2da233b5a1fdf1e3', '69b057dbd2302168', 'e6b2177b246a6235']; context = [[0, 57], [13, 95], [3, 76], [10, 86], [13, 78], [59, 132], [201, 245], [10, 58], [82, 153], [27, 92], [41, 130], [56, 131], [0, 70], [110, 192], [13, 77], [0, 84]]; loss = 0.013719 low_pass_filter = 0.300
+Epoch 0: | | 37359/? [7:03:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 37360; scene = ['129c6eb499de317e', '7f9dff2e30b4bfc6', 'b308d11f761f3807', '42a868a8da9e7039', '2aa779433bb5d794', '47e7256fccd4a567', 'c2506afa089e05db', '9a5e922941e039c6', 'ea1b3657680433f1', '28e9216f5ff9d182', '084f72ae9210b0be', '713d04d4f526c5c1', 'e1cd8eab527eafa2', '3c492b38368300dd', 'd2141efa6564b57e', '20aecf609c29107d']; context = [[18, 80], [50, 107], [68, 136], [5, 53], [109, 186], [81, 156], [146, 208], [13, 72], [159, 230], [5, 70], [102, 191], [34, 118], [3, 65], [10, 59], [30, 79], [8, 55]]; loss = 0.009782 low_pass_filter = 0.300
+Epoch 0: | | 37369/? [7:03:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 37370; scene = ['1b1ae7b669835036', '887b331c607819be', 'f2ae5833a73ab66e', '51f747ae14bb6624', 'ba00c4e1f8ac58b8', '8b9febb103bd0329', '3ce0fba2c29095e1', 'bd1f14e5630fc34e', '74158d4151f8db38', '067a04bebdcba8e5', 'eb70d13262cb7a89', '308f361c51a894d1', 'f8d4d509f7a298f9', 'ae1f8320f520c207', '980309aadec30d17', 'defc305c0789a4ae']; context = [[28, 83], [0, 52], [64, 130], [2, 62], [27, 80], [4, 80], [17, 90], [36, 94], [37, 82], [9, 88], [9, 82], [24, 111], [47, 116], [119, 165], [2, 68], [8, 58]]; loss = 0.010885 low_pass_filter = 0.300
+Epoch 0: | | 37379/? [7:03:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 37380; scene = ['63cb564bb8ef60c4', '08c8768fb707981e', '8b9eb83d96272f71', '65dd2cb793b8bd9b', 'cdf7ab179d4bb5fe', '8b9ec683f13ccd82', '9f0eb311381bcfe8', '3f324aa70bb1beb2', '8df6a8f9f01e468c', 'b9f601fa5ccc54e6', '1e4b301e3edb5c73', '651a9f768e528c0c', '15cdc58fd7076c73', '80577c02d0925e08', 'ccf427298e1906c6', '9a96e3934ac1f20f']; context = [[2, 90], [75, 125], [6, 58], [2, 49], [25, 80], [0, 72], [15, 61], [150, 220], [6, 68], [2, 79], [71, 148], [10, 65], [12, 79], [23, 67], [87, 154], [1, 71]]; loss = 0.010371 low_pass_filter = 0.300
+Epoch 0: | | 37389/? [7:03:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 37390; scene = ['7fe2b466e98518a3', '16f6aa5fc0f28551', '47ae6002443da89d', 'abd404032954ee04', 'cd1a8676555704d1', 'a54c7a2b9fbf4dd6', '2063a1eaa3f63227', '41169f2c39edf539', '885ae680bb5ea997', 'c643bb23eba2cf21', '92bd941ab6967c92', '441fb31750988576', 'f353b0e2364b9578', 'ef4731165c5ecb86', '3b2d83497d98dc06', 'b918852a1561726c']; context = [[48, 119], [171, 231], [159, 209], [8, 52], [26, 106], [26, 70], [25, 85], [13, 57], [0, 64], [38, 95], [9, 90], [36, 85], [0, 44], [69, 132], [191, 261], [0, 70]]; loss = 0.010469 low_pass_filter = 0.300
+Epoch 0: | | 37399/? [7:03:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 37400; scene = ['b952915e6460baf5', '4d4cb55f98b8a3ce', '64c293c5230dfcbd', 'bd534341f7deec9a', '653f7f9d5721469d', 'bdcf63d0e401dba9', '3b478464a6665998', 'f91d97a02869cbd5', '5d00a543f59ea3ab', '7dd3394cb3908cef', '56f95247e77bedc3', 'd2f6501e51fda88e', '7159d6505aa199b0', '37fc71e2d5534f99', 'e05964b2d09ba2b9', 'c0866648804899eb']; context = [[172, 242], [75, 136], [118, 179], [47, 91], [4, 90], [5, 63], [130, 179], [34, 98], [38, 122], [1, 72], [185, 242], [77, 160], [12, 63], [68, 131], [134, 178], [2, 76]]; loss = 0.011186 low_pass_filter = 0.300
+Epoch 0: | | 37409/? [7:03:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 37410; scene = ['697e5db37b8f4789', '8b8fc6108cfd00c5', '876966ec7ad43afe', 'f71fef223090099d', '0cd45f1a752698f6', '01f9c3192976f699', 'f940dc24769c332f', 'b69103386f5db304', '2a02926202215095', 'e559f1da60a5eb79', '899b260d3fada5d2', 'e393deed031f2128', '636edc6d973636a8', '2e23dfa9044cec15', 'e7ed95d934000bc7', '08e11b45c331ea9e']; context = [[178, 229], [12, 81], [32, 96], [9, 60], [135, 222], [0, 45], [48, 101], [75, 141], [69, 133], [105, 152], [107, 194], [5, 69], [3, 86], [11, 65], [113, 158], [125, 199]]; loss = 0.013260 low_pass_filter = 0.300
+Epoch 0: | | 37419/? [7:03:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 37420; scene = ['780faae4b70c35f7', '0a4f895d103b3f57', 'b4c307f6a16e7660', 'a48bd89d4c750b98', '1d72161deb0221fc', '6334a2ea61554ce6', '5e0d1688b8de8814', '5bbae3d047eb84f7', '3db247f055f7e4ea', '3d3facb1425b30d2', 'd644cfb925683a58', '746d615513052889', '18622e59c80cd655', 'd8b3d968d826dae5', 'c0c40d7196c94570', '89943e55af1ebcb3']; context = [[1, 46], [24, 69], [6, 59], [23, 108], [61, 129], [152, 239], [0, 69], [4, 74], [17, 104], [41, 124], [16, 67], [10, 56], [62, 113], [2, 51], [3, 47], [33, 87]]; loss = 0.010133 low_pass_filter = 0.300
+Epoch 0: | | 37429/? [7:04:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 37430; scene = ['46a78ac601ddbc10', '1a4dd16b9b911cf0', 'ff1686153c503b0c', '6866b72f59812142', '56bd38a5cce7b138', 'daf5d2f0110404b0', 'f5b968fca82ee130', '618fb7b305bebf4c', '854a85390ad2cc28', '5bac748f6d427b67', '954ff8679dd88e9b', 'bc4e4c72bee6fe49', '1af546eaa729cc82', 'f935d6d91d6b740e', '3d3c025827e2496d', 'aef8722ceedd6c5a']; context = [[9, 83], [10, 54], [1, 65], [0, 64], [14, 96], [1, 57], [26, 72], [0, 68], [10, 54], [5, 53], [49, 113], [110, 156], [32, 94], [32, 78], [25, 77], [49, 123]]; loss = 0.008937 low_pass_filter = 0.300
+Epoch 0: | | 37439/? [7:04:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 37440; scene = ['92f8c501d9501097', 'bf0755be50798d45', 'd81116dc8c96547e', 'b74cd30ef141705d', 'ff1a64808d8981a4', 'b45e47d231088428', '2ed8d2b8c1159862', 'f24b2611ba45a2cf', 'ffda743d376dcde8', '241096ca94ccb259', '9ca80f3ebf759df0', '882fdfbe720a3236', 'c81095ff7cc7034b', 'd62c060a62da110e', '7e12b2b9d3173b0a', 'd6c9e919641c1d3f']; context = [[23, 88], [18, 93], [79, 142], [5, 74], [1, 55], [28, 82], [12, 89], [116, 194], [46, 120], [89, 158], [14, 59], [61, 133], [24, 77], [1, 55], [2, 56], [38, 114]]; loss = 0.011323 low_pass_filter = 0.300
+Epoch 0: | | 37449/? [7:04:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 37450; scene = ['646d7fe490c813f9', 'f31f0b80f53b946c', '2951495162c9b653', '190ac8a179da3ae4', '192e889ee8976b5a', 'f8e7fb62ea38f3c4', 'ed2867040fbb2e30', '3f93267f27496d70', 'b1130040cfd2f90d', 'd2d46a53ce85782c', 'ed15b35ca2513c63', '5763cbee9140b5d1', 'e33bbac575dfc1d7', '7814de64263ff0b6', 'a47d3c4e370778f5', '7edfe804c8e458c0']; context = [[67, 120], [76, 165], [164, 210], [1, 67], [0, 55], [23, 101], [85, 169], [9, 62], [51, 136], [63, 123], [38, 82], [72, 136], [3, 47], [4, 48], [4, 51], [36, 92]]; loss = 0.010352 low_pass_filter = 0.300
+Epoch 0: | | 37459/? [7:04:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 37460; scene = ['d0a21947c27459e1', 'a087ca8b230e36c9', 'f030d03c2f92321c', '046ddf691fe113cf', 'ccac607e2f21c9d1', '103ccd343d80c030', '2de527ecbeb3b6cc', 'de6a73a44fec7624', '720f015665e06ccf', 'cc7039fcb37807af', '02b09bce2ef84fb0', 'aa054e5a77b2fe77', '3e8c9b739d197f71', '34854bce89063360', '46f6304d4b29c976', 'a2f5237c4ff5cc75']; context = [[9, 87], [89, 165], [14, 75], [0, 44], [91, 165], [3, 75], [7, 85], [4, 51], [2, 54], [18, 69], [73, 147], [3, 80], [9, 81], [53, 139], [26, 86], [200, 275]]; loss = 0.013197 low_pass_filter = 0.300
+Epoch 0: | | 37469/? [7:04:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 37470; scene = ['707548393b4bc8a5', 'dd5ed29765330d4f', 'a356dab14e5662de', '019bf9d48f4362ef', 'd450bfc8d4fd93fc', 'd1c6899b6c6ef917', 'ea30bf8a65e93961', '001c43a59a9e0b16', '0c2a75ad7d5b971d', '1cb7aee79f67faf8', '619fab5acfc50704', 'c221145e989e0ebe', '66a079896a5f5de0', '9127991e1bcbc9c9', 'dc7a324e7e3e0c21', '3fd8ffd6f16252ce']; context = [[6, 80], [69, 138], [34, 78], [146, 214], [2, 49], [65, 115], [9, 62], [32, 119], [17, 79], [61, 136], [67, 119], [41, 100], [44, 99], [108, 171], [46, 132], [185, 231]]; loss = 0.012183 low_pass_filter = 0.300
+Epoch 0: | | 37479/? [7:04:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 37480; scene = ['1a3494f9652bd1d6', 'd78728ca5e6a3d20', 'e967a875e94bc523', 'b82808040252571d', '58694b5c16496ad4', 'f94badaa12bf80cb', 'a120150644ae529a', '66b0bedbd87eb6d4', '5dac5439a266d383', 'b9ac53cf1cd3f4e3', 'cdcf8ecbde39db10', '3d5a986156f92892', '895ca8e07071abd4', 'c5e852504dc42c54', 'b47316f4bcb9c5b1', 'dd62d63a523acdbe']; context = [[55, 112], [11, 90], [38, 94], [156, 201], [29, 85], [1, 70], [55, 133], [0, 78], [219, 267], [9, 62], [21, 76], [15, 95], [104, 175], [9, 98], [5, 50], [161, 211]]; loss = 0.009766 low_pass_filter = 0.300
+Epoch 0: | | 37489/? [7:04:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 37490; scene = ['14765a41ce267f7c', '6ee631bcd878630e', 'b1d2c60a3ac8a360', 'a4cce98abe0edccb', 'c0e14416e501d5b2', '31be810a3c76377f', '9cea789f066202b4', '814d0c2bfc701a48', 'ab1e0faf35dc0be5', '10e7b2b1f440fc8b', '976d6143db761f55', 'cf781827ed879984', '5686977183a1ac27', 'c0a8930b06ab9a0c', 'db6af3fa70500a44', '37cd61314b1e47c9']; context = [[177, 221], [55, 99], [2, 71], [0, 83], [86, 152], [6, 75], [20, 108], [80, 138], [110, 161], [190, 252], [79, 154], [158, 204], [13, 77], [19, 92], [15, 93], [132, 194]]; loss = 0.008671 low_pass_filter = 0.300
+Epoch 0: | | 37499/? [7:04:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 37500; scene = ['23710dc8de8b4a49', '2b6287b06fc332a0', '90f8e4ba9584bb21', '4a53a9711f98a0af', '287f04b4d4c3d565', '8fad002621cb9a72', 'eefd18e172ae4596', '9d37761f3e526b2e', 'a15a797d550d5c07', '587a249b3119ff0e', 'd4f0cd8777b3d534', '40d62c1c34dcb4ad', '0fc84f9949ed58fe', 'a8964dbe9bd1945e', '1ea3205d7fb87f3e', '5832b4ee7ad1000c']; context = [[17, 73], [22, 75], [9, 59], [7, 67], [22, 101], [102, 159], [127, 184], [1, 56], [126, 198], [35, 103], [14, 91], [37, 115], [20, 70], [129, 176], [135, 191], [100, 170]]; loss = 0.010107 low_pass_filter = 0.300
+Epoch 0: | | 37509/? [7:05:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 37510; scene = ['d325bd35d81548c3', '5102042496230ec1', '8d1a20d3c25fd34a', '5431b4af9712cad6', '02bce6fe4244faaf', '913dce10ee8c7f64', '00168ec12dda389c', 'a4af68cb01bc3f07', '5d12f9238f0f4f03', '6b6931797480dfdf', 'cd255701ae031fa6', '485d1c95729aa606', 'fdce883f5cc3e5cc', '8aacbb4c1ff41b76', '74b16aedb01f395c', 'b0eadaebe0c28aa7']; context = [[116, 161], [4, 57], [53, 104], [8, 96], [69, 119], [21, 85], [155, 227], [9, 58], [91, 172], [151, 231], [6, 71], [50, 123], [22, 77], [63, 145], [145, 211], [37, 89]]; loss = 0.008941 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 37519/? [7:05:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 37520; scene = ['2d3f2fbfe31fe9d6', 'ec0b422b890cfdb8', '0a7bd55810dac49c', '81f56e1f6d64e4f6', '04a108af10dbbaf2', '432ccfc02888da39', '42a0898552808dad', 'd6277b107e1ac96d', 'cf2c2cd4809d2845', 'f1a0acc23bcbc5d9', 'e7a80a3722babaf6', '9a8f5fc70818b92b', 'fb1de25d6e5e68e5', 'def926bdffbc8678', '43d15b8037853a27', 'afe980fa0bc82222']; context = [[6, 79], [25, 105], [34, 107], [45, 117], [49, 118], [1, 64], [0, 73], [229, 274], [0, 63], [24, 88], [65, 146], [45, 101], [68, 128], [197, 258], [44, 89], [0, 44]]; loss = 0.009364 low_pass_filter = 0.300
+Epoch 0: | | 37529/? [7:05:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 37530; scene = ['e47992e97ffcaf72', '1e51247de1592f1c', '3e38e5ffccf5c421', 'f0bfe9cc42e2763a', '1bc73f7a63d43967', '82ecc6a8c50505f9', 'cefacead2d094c21', '0b27508d9113b492', 'f32902b7f5e0045a', 'e5ae5d0cde455edf', '4dea6d53165f9c96', 'f1f2ab311bf11cce', 'e0f1516dff86e499', '6bacd75a12a4a79c', 'd407e9cd865ce4a0', 'a4e81cb1ef33e750']; context = [[19, 86], [143, 232], [7, 68], [39, 103], [15, 81], [91, 152], [89, 154], [1, 52], [1, 59], [177, 221], [182, 259], [116, 179], [6, 90], [43, 126], [110, 165], [11, 80]]; loss = 0.010204 low_pass_filter = 0.300
+Epoch 0: | | 37539/? [7:05:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 37540; scene = ['5116921541fb43df', '5a38b8d664c399f4', '270ec2d099edfccd', 'b0139ba67c176260', '9af39f3dadb1471e', '9244ece752e135b3', '25dd017c409dc6ff', '06e9f26b5f803220', '072ace91e2fef373', '1b2e793d39caec3f', '69029690713e2555', '1918093c072f7cdd', '69ec027b22fd5db4', '180c4ba9f87f427d', 'ed3fda3e5a79de50', '8463e86cf267681b']; context = [[8, 93], [0, 63], [159, 214], [29, 87], [9, 57], [2, 65], [56, 127], [107, 196], [31, 86], [14, 92], [50, 118], [5, 86], [7, 77], [206, 275], [64, 120], [45, 95]]; loss = 0.011687 low_pass_filter = 0.300
+Epoch 0: | | 37549/? [7:05:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 37550; scene = ['0956329fc4d362a7', '9f55a331f0e02fcd', 'e324acf1610847ca', '9ab9a834066a3287', 'c69838b39a586dca', 'de41f796919fa481', '538591ce295ffc23', 'cd6c21656a85e9b9', '2889424e1627e36e', 'f98c4f8284140152', 'd8e1f8ca9a8f6d75', '8af741a43dbf8aed', '6e28284a95ec737d', '2a1cb0585368aa0e', '62e5b0716c8f72da', '60863ab1ae0f524f']; context = [[19, 65], [2, 74], [8, 58], [33, 111], [43, 110], [1, 70], [3, 71], [0, 63], [57, 130], [37, 100], [17, 98], [15, 71], [31, 83], [13, 91], [0, 84], [1, 51]]; loss = 0.010176 low_pass_filter = 0.300
+Epoch 0: | | 37559/? [7:05:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 37560; scene = ['54c4874bbe46d71d', '4ec6a005f3d133c6', '7e0fa7fcd96b897b', '872c6a4da1b90652', 'f6bbe443c64d2d10', 'ee6e6ddb7d8979dd', '807a66ebd6cae82e', '5250b4d2feada905', '2a60b631ffbba8ea', '1defccf077f0cb9f', 'fc22b9ea83ee6129', '418dbf076c78be3b', 'bf2a091aee527aee', '131f4b24b3adc68b', '787820e1ad9acf62', '97c87af6e2a772fe']; context = [[110, 165], [4, 71], [45, 130], [6, 58], [50, 138], [11, 90], [1, 51], [163, 225], [4, 65], [63, 113], [26, 71], [38, 106], [81, 133], [6, 52], [5, 72], [0, 52]]; loss = 0.009933 low_pass_filter = 0.300
+Epoch 0: | | 37569/? [7:05:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 37570; scene = ['7a7b8fa54cda95d6', 'fdf059b33b7658bf', '7b256ad1bcd23ed7', 'cc4208ecbe94edba', '88af122546f860f2', 'c157b53c9746c4a2', '017352ea723d6cf8', 'b8f9ee4f3c0559db', '4be29d12916bd88b', '6ff4bea30b84b37b', '43e44e88bc273916', '1dd33197c6d3bb4a', 'fcfd27c98731e0cb', '04364d8a8da17216', 'ed669c1a448bb28c', '936403cfc9f2dc63']; context = [[22, 75], [4, 50], [5, 68], [53, 126], [13, 83], [21, 98], [101, 172], [25, 71], [2, 58], [0, 70], [23, 89], [24, 92], [5, 92], [115, 184], [28, 94], [6, 87]]; loss = 0.009858 low_pass_filter = 0.300
+Epoch 0: | | 37579/? [7:05:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 37580; scene = ['92ac650cf8289b59', '34e200c84c493504', '85843ad1860fd527', '4eade0e0199250f1', '42509afdbd820d6e', '9b2ce670e57e67ea', '00c8250efd605554', 'da0896511a045efa', 'b7f7ecbc17b5b6bf', '0b994471e1f10aef', '0ef4261da6d64772', '9a420203814021d7', '747983eac17e966d', 'f967beae04895cec', '275070dacb6e047f', '61eb63f56957a664']; context = [[14, 79], [0, 87], [41, 118], [159, 222], [6, 62], [36, 107], [25, 88], [33, 78], [2, 47], [33, 117], [37, 86], [3, 63], [172, 222], [95, 155], [31, 109], [183, 246]]; loss = 0.012427 low_pass_filter = 0.300
+Epoch 0: | | 37589/? [7:06:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 37590; scene = ['1af152530e6445e3', '2a92f857a0af6e4e', 'fa49dcd1794436a9', '4b87a7365c9a49ea', '4d45a366bcfb2824', '0c9c3f99228a95dc', 'a5b1d005aa7077ca', 'fb4d4223204b8761', '6002268bbef585b0', 'cb75c5597898298f', '919cdfd8793036a9', '55f9c6bbcedeba49', '402146a914e34bd1', 'dc8ae2b488cf21b2', '3be149890a0c3619', '2e06f7b62880ccee']; context = [[122, 197], [6, 82], [5, 64], [20, 104], [7, 79], [11, 69], [12, 62], [9, 92], [23, 75], [6, 72], [79, 137], [6, 59], [10, 73], [6, 75], [6, 56], [0, 56]]; loss = 0.009657 low_pass_filter = 0.300
+Epoch 0: | | 37599/? [7:06:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 37600; scene = ['a64b425ddfd876fd', '717fbe8af3bedede', '9a9370073a9e5750', '819929ad0c9c6d80', 'fd7813e7f6b9c6fb', 'f7b7405f352d53a3', 'dbdcfa52c1ec70d9', 'a6990abb3591ce5a', 'ff83cd13bfb4cb64', 'baab02d64ec03a56', 'a242e4699cdcf0a0', 'b15464eeb58ae743', 'c040886eda9e8efc', 'a67599645b90125f', '89c1218ebe194ede', '5ede369220cc16b1']; context = [[34, 111], [8, 79], [73, 143], [24, 75], [6, 59], [147, 208], [177, 224], [10, 76], [79, 144], [0, 48], [47, 92], [12, 66], [2, 63], [0, 89], [0, 72], [1, 48]]; loss = 0.010366 low_pass_filter = 0.300
+Epoch 0: | | 37609/? [7:06:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 37610; scene = ['b4d9ca354d107842', '8a4de0caa5254578', '69eb9b519036e21a', '33d57adf7f083810', '1bd27c993ee5d989', 'cfc77a497899104e', '2f7e3bbe426dc114', '111e46ba0e1e8f8d', 'd6f84bd019d779be', '29be873a2a69e242', 'b0ba63ed1ed68084', 'a84696c5c7cc27a3', '3f0773e5ff545779', '2d18d7109de58835', 'e1f302f15cd1bf7d', 'f032185c91cad994']; context = [[26, 92], [137, 190], [9, 60], [17, 73], [19, 72], [13, 90], [6, 89], [1, 52], [13, 83], [51, 120], [22, 102], [37, 88], [10, 59], [77, 141], [38, 98], [21, 98]]; loss = 0.008961 low_pass_filter = 0.300
+Epoch 0: | | 37619/? [7:06:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 37620; scene = ['89367ed9904ef5a1', 'b6eea50d37cd996c', '12e0cd73e03185be', '00b6a786f2c21c17', 'f55137ed9c15c6c6', '1b8abd07e10f4e79', '82b8b4c5e983729f', '31ba0028326b8b17', '50c7f40e49739339', '3a13e56691c8396e', 'bc67854fca5cdac2', '2726f059d69c25f4', 'f81c1b6ddc6962a0', '122d66974706d78c', '8d4018b86dd123ec', '6515de6c81e7c80c']; context = [[5, 54], [20, 95], [150, 195], [33, 88], [64, 117], [26, 102], [70, 136], [162, 221], [0, 61], [0, 72], [18, 83], [9, 81], [19, 98], [59, 107], [50, 104], [1, 65]]; loss = 0.009690 low_pass_filter = 0.300
+Epoch 0: | | 37629/? [7:06:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 37630; scene = ['3bfec395b8c94681', '31872a4e7ae8faf8', 'e66860cc136f6424', '01dff3e73e135695', 'b708eb4026ae8eec', '053fa3b31bd31cf6', '346dc3636147f48d', '61827b8206bace2b', '4afa06236618dc34', 'f1107a1bee7889a2', '746eb5065709c4f2', '0aec101af5e6dba5', '0a3e53b4a9599727', '2f7d98a1e986c181', '84e5fce33300942f', '099b669a948fd31f']; context = [[1, 50], [2, 63], [4, 57], [81, 161], [1, 52], [14, 85], [0, 63], [43, 88], [5, 57], [102, 158], [35, 81], [97, 176], [64, 122], [109, 155], [21, 71], [6, 81]]; loss = 0.009695 low_pass_filter = 0.300
+Epoch 0: | | 37639/? [7:06:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 37640; scene = ['c82a25e9661c7240', '7a1e1fd94e551593', 'a17c6e0bdafd1259', 'bbcfab092d76f8e8', '960f7b4ccbb15c82', 'fef87f5dfaea4c45', '8e60661a87c434c3', '31e82c62699474b9', 'c20985a3dcbc340f', 'ce5c3a585536ecb9', 'ec183e6afc500071', 'f95de6a404d55f17', '2a2f73046f1b9cfe', '974daa1d1b1dff7a', 'e6ac76e77abf7ff8', 'eaaf4ab6429afa9a']; context = [[7, 68], [63, 115], [29, 115], [10, 93], [35, 100], [18, 87], [1, 66], [0, 79], [50, 115], [1, 48], [0, 58], [5, 66], [2, 91], [41, 115], [92, 160], [108, 160]]; loss = 0.010612 low_pass_filter = 0.300
+Epoch 0: | | 37649/? [7:06:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 37650; scene = ['2c4d908d5e4461a7', 'a0cf7452376463d7', '7badba95b5be610e', 'd5065ab056db1de1', 'c0f577534b342324', '3d558b33e360e107', 'dff2e156c7f4a1a6', 'cb5724b7a444ffda', 'dcebdfce0a2e58ce', '1db027885e90c8dd', '42e4ec273becc513', '5d54686ded433477', '996c2ee081cda2d2', 'e30090f2ddfe76ec', '2ca9b131700d2297', '3d14ed320eb46830']; context = [[4, 49], [19, 95], [25, 102], [59, 138], [58, 120], [0, 64], [12, 77], [13, 96], [17, 71], [105, 179], [0, 54], [0, 58], [91, 162], [27, 97], [10, 89], [1, 55]]; loss = 0.011131 low_pass_filter = 0.300
+Epoch 0: | | 37659/? [7:06:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 37660; scene = ['65b0a12d86b78201', '515f694a70ef5528', '65b9540faf40b6b9', '95a8ec31dc3225b3', 'c6ecee158a66834e', 'd8f7bae15f8ab6a2', '792c2bde48423a11', '3ca78fb427a01e89', '1e075825462bcf12', '536becb86a3a1ef3', 'c6d6373111255a49', 'b0aa64d1288a459a', 'b1bdd3bf0c31cb6e', '3a42e516714fd1b5', '5c02e9bdee9af8b2', 'ff5f6d67926a5c6f']; context = [[1, 67], [0, 64], [13, 77], [4, 70], [23, 93], [7, 53], [7, 81], [49, 100], [14, 65], [122, 208], [28, 88], [53, 118], [154, 237], [30, 102], [33, 95], [39, 98]]; loss = 0.012740 low_pass_filter = 0.300
+Epoch 0: | | 37669/? [7:06:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 37670; scene = ['9157ddf2dd3a3b14', '922abf15861860a2', '9fc4a42f8174b2f3', 'e790f451efd033ef', 'dd08310b8bdcc89f', 'cb6b282e7c44622d', '3127753a1ad207b2', 'ed1cd4f9d797bde3', '59e7800dec3fa9f5', '0bc0b77faeecd0cf', 'c1397ab617a28acd', '152d6d3ac836afd3', 'f28bac496ee97345', '7ee2c0f45d7cb0ac', '5176c714d2e72855', 'a5bcf7c72eb10c48']; context = [[11, 93], [16, 104], [22, 75], [180, 244], [2, 51], [4, 68], [7, 56], [50, 101], [31, 101], [38, 92], [16, 98], [23, 100], [3, 68], [0, 61], [1, 56], [195, 252]]; loss = 0.010715 low_pass_filter = 0.300
+Epoch 0: | | 37679/? [7:07:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 37680; scene = ['5cdca5174d25d2e1', '3e9d04e3d7dda317', 'aa70400f2fc7e975', 'a4a176dcde73ea17', '0c7cadc659ac1393', '1e8715fa89b98696', '5fa60eb00fe9c983', '1fc2e3e8d1a09b12', 'b051aa05d9cc987c', 'b8f51a38b1df3fa6', '71da350128beda8e', '0bf674188c2377e5', 'afd1b26a7b3f5833', 'cbe7d9bfe38d2de8', '5e1a097958039de3', '7d8c26c8ac910aa8']; context = [[51, 101], [0, 48], [45, 102], [61, 146], [155, 235], [17, 62], [0, 78], [22, 72], [2, 72], [12, 96], [1, 46], [6, 90], [3, 58], [4, 74], [129, 213], [1, 77]]; loss = 0.010056 low_pass_filter = 0.300
+Epoch 0: | | 37689/? [7:07:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 37690; scene = ['d2f3e6918fead282', '9a8eb979640612b6', '71d819df647d0f28', 'd4838e987d85074e', 'd53fc98a3d2e0354', '240ad84c83b28925', 'b71f1c4d3f3e11b7', 'edd15cbc6844242d', 'b06e72eb3136c5e8', 'c919b0540a5e53a1', 'e6ea6d241b13591c', '8c092656a2e5dd1c', '196346a9ac3789f8', 'a63650c91b0f17f3', '41b0325496a3b8d1', 'f64532570df27c63']; context = [[54, 126], [8, 61], [186, 242], [83, 141], [89, 137], [25, 87], [0, 45], [65, 155], [12, 77], [54, 135], [20, 77], [26, 90], [45, 108], [30, 89], [43, 117], [5, 60]]; loss = 0.008219 low_pass_filter = 0.300
+Epoch 0: | | 37699/? [7:07:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 37700; scene = ['bea6fbb680b7dc9c', '080d56120107ef6c', '7646ac2f8b5fdaa6', '69d344c94d10cb8f', 'a725e2994ee82004', 'e05b95578c4c14d1', 'd0a4631fc857ab8a', 'a27f448e55637a5f', 'dcc32501d6d299b3', '86824ec7330f61df', 'e1e6a57412c525ae', '3ab5ac4bb44ddf9d', '15c35fa613711712', '16f1043c73e5a4a1', 'a27e00bab20bc361', 'e22210d29e49b14a']; context = [[5, 94], [158, 206], [0, 51], [30, 116], [5, 68], [106, 163], [103, 156], [5, 63], [15, 71], [9, 62], [1, 82], [0, 45], [73, 146], [48, 107], [35, 103], [15, 65]]; loss = 0.010461 low_pass_filter = 0.300
+Epoch 0: | | 37709/? [7:07:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 37710; scene = ['979d15f0f89f5020', '813a4e0156fb58b5', '1d5822138fa0c718', 'e7cc9824d4e7bc0b', '7b949ef25a81b51b', 'b536906fec712983', '3d4e734e33cca787', '6720332815eaa197', 'ffe2e1bf600650a7', 'c3c0b8f4afb34ffb', 'f4ec95a169f45f3d', 'ed0890096e714ae2', '951befbf4cb5a337', '24ecfa7e5f8704ed', 'f5b8734a98679522', '7d4dee33e172c862']; context = [[26, 100], [19, 67], [1, 86], [56, 117], [0, 46], [26, 74], [24, 81], [131, 188], [47, 104], [0, 49], [37, 120], [15, 87], [20, 108], [20, 69], [30, 120], [2, 57]]; loss = 0.011506 low_pass_filter = 0.300
+Epoch 0: | | 37719/? [7:07:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 37720; scene = ['4bf31225bd69a6c2', '350d6a093aba92ff', '5d2603f337f55a8f', 'c633ee306fd04085', '7900bb6a5dfdbb71', 'a5f88d386483e9c2', 'a2b2171d8e2e5a06', '7c176d9aef38ada9', '758ae82607fab1cf', 'df54544af0cb2814', 'e67f3603886457b3', '208e267f234ea686', 'eb2b2c9b2fbb446c', '67783af57c87a875', '3f104b93372efcda', '33ed8d0df5f8c20d']; context = [[7, 59], [50, 103], [157, 207], [8, 85], [2, 58], [12, 66], [19, 103], [47, 106], [5, 64], [34, 82], [56, 125], [174, 256], [26, 76], [1, 66], [45, 116], [23, 97]]; loss = 0.011255 low_pass_filter = 0.300
+Epoch 0: | | 37729/? [7:07:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 37730; scene = ['adf2d85c799dc1a4', '3cead9b544108806', 'b54392dde102f10f', 'a9ffa4a8880baf92', '8ff5f069510b07d7', '541aa65a8c4f173d', '6eb834c86b832ef8', '68416e074928f188', '3a8fefa313779e90', 'fc72d2f582914ebb', '9ffd98918cd5c313', '07fa31fdc65acb03', '7303b180402fa4e2', 'f2d21ce8d337b647', 'b0a2a85157926ad1', 'da6cf0614307fc2c']; context = [[31, 109], [162, 216], [74, 133], [16, 81], [68, 151], [8, 63], [26, 80], [12, 83], [78, 125], [9, 56], [11, 79], [15, 95], [8, 78], [5, 83], [12, 64], [125, 171]]; loss = 0.011269 low_pass_filter = 0.300
+Epoch 0: | | 37739/? [7:07:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 37740; scene = ['5f5676c298828c45', '0e52986b67e75cef', '1d155fc2dbf621c1', '1ddfb57e650ff7b8', 'be811134779e7c95', '9050781d7530582e', '03897065a886ec53', 'a533fb81b4f7d990', '15c541d233b99f32', 'a7f2a84e3c3d2246', '9622d9a4e65bd2b9', 'de4deb5003c39eaa', '8c8b3abc5ee188cf', '3b0b68d41e6ba982', 'b1b3445652e40300', '8b5f8899f2dba87b']; context = [[31, 92], [44, 127], [10, 57], [23, 84], [11, 56], [48, 120], [4, 54], [39, 125], [53, 128], [2, 49], [7, 64], [8, 72], [100, 176], [17, 84], [155, 210], [9, 73]]; loss = 0.010451 low_pass_filter = 0.300
+Epoch 0: | | 37749/? [7:07:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 37750; scene = ['5b589353ddc3bf10', '4a16aae24ff2ec4e', '0092c01a563523b7', '92183de07c13c62b', '2b787547ea496776', 'fc6f8e4478f96b29', '9a65de132ab2fff1', '2c38ebf17747a14e', 'c9ba8f17c6191867', 'c21a51e62f022171', 'a48622051ee5dad1', '654a4ef182f4e8ae', 'e57a57f50e6a5438', 'dfe3cbe9ca43aea3', '7d7bf8fc97c29961', '45ebdd9175b3ce86']; context = [[3, 52], [47, 116], [23, 88], [57, 105], [9, 99], [8, 83], [20, 81], [58, 104], [37, 102], [0, 86], [32, 82], [29, 75], [51, 116], [162, 217], [139, 194], [0, 61]]; loss = 0.009838 low_pass_filter = 0.300
+Epoch 0: | | 37759/? [7:07:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 37760; scene = ['c2211476f787bf6c', '3b72d3b94ad91cae', '8e05fa84cec1907b', 'e3a95e30c80c81ba', '46dc1969daa50155', 'bdedaac596d2cace', '0e9f8f1106a1c248', '994a09c04868abe9', '1e1644e076681a88', '516c8c55994340c1', 'dc99cb139204619f', 'a1d6ca5e8fa19501', '3471777d4679f2e4', '2301bf4226984b79', '1d9692d06299f632', '912649b3ee94f486']; context = [[102, 175], [0, 52], [118, 177], [86, 165], [1, 63], [52, 102], [174, 232], [11, 75], [6, 74], [87, 176], [2, 60], [14, 65], [61, 129], [160, 205], [37, 83], [34, 98]]; loss = 0.013321 low_pass_filter = 0.300
+Epoch 0: | | 37769/? [7:08:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 37770; scene = ['1e82a72ac95c1a0f', 'b9d3ceeda47a50b9', 'eae83400ec7b69e5', 'fd9625e01240c2a3', '5679f4f2f6c7e7ae', '860a02ab44e4573b', 'eef4a92fb2f64d7b', '3978af43a7ea01e3', '52f3bb3cf1f36bf9', '45656906ceb6f2c6', '882efbeb56fce689', '536b0a79a61e848d', '40c6f5e7838c0674', '2fe3d2aaf6006108', '8dbc54ca1f13e7e6', 'ad766f968b9edef5']; context = [[105, 169], [47, 95], [31, 98], [21, 104], [44, 96], [18, 82], [21, 68], [17, 93], [3, 51], [30, 115], [5, 51], [73, 156], [115, 185], [43, 114], [2, 50], [48, 107]]; loss = 0.010110 low_pass_filter = 0.300
+Epoch 0: | | 37779/? [7:08:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 37780; scene = ['c6ecee158a66834e', '515f694a70ef5528', '65b0a12d86b78201', '95a8ec31dc3225b3', '3ca78fb427a01e89', '792c2bde48423a11', 'd8f7bae15f8ab6a2', 'b0aa64d1288a459a', 'c6d6373111255a49', '65b9540faf40b6b9', '5f5e47f9ab62f2ed', '536becb86a3a1ef3', '8eefc5250095af5e', '3181deb623385396', 'fcf4c93bd50c4f2b', 'ab81540435e624af']; context = [[82, 132], [21, 67], [5, 62], [23, 74], [36, 91], [2, 80], [30, 107], [9, 57], [19, 73], [21, 87], [172, 262], [193, 261], [68, 141], [174, 247], [7, 78], [4, 93]]; loss = 0.009509 low_pass_filter = 0.300
+Epoch 0: | | 37789/? [7:08:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 37790; scene = ['00c5167e29241893', 'ecb65156238cc6a9', 'a983d5d23327ff9c', 'e242cd9849c42fe7', '4676d54100c9e75c', 'eb0b0f7457e2a430', 'cd7942b83b5de1dd', '217b5aa939551994', '9ef5b77b6ce7235a', '32f21d507431102a', 'ca738f440873a7ac', '9ea9c23612f4febf', '937c5776c7311396', 'b7efd4a0885241a0', '0d7d697af93bbebc', '40990b4eb108c003']; context = [[74, 150], [63, 129], [1, 71], [35, 92], [61, 136], [16, 63], [18, 72], [23, 106], [28, 84], [34, 90], [2, 49], [3, 77], [21, 105], [225, 278], [31, 78], [28, 101]]; loss = 0.010583 low_pass_filter = 0.300
+Epoch 0: | | 37799/? [7:08:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 37800; scene = ['4ca12bb4344471f6', '53bb7687bdc3282a', '9bc6d79bdd9830a6', 'bd7a0a337366b1ab', 'f6f36f1a0e886abf', '771c929fa8c4439e', '638bad7a3e253080', '1ef466c2f5e9397c', '5e133cf4f2e3ea73', 'e5dcdb85ebdce1e8', '4f4163ffeab1b5c1', 'e7899ec595da145f', '98f893c44aa4d5ce', '6062ff955d0269de', 'b2f45bfd5a0668b0', '2bbaf7e8adb766b8']; context = [[7, 74], [13, 98], [168, 226], [0, 47], [48, 122], [67, 125], [10, 81], [135, 224], [14, 85], [7, 75], [16, 96], [2, 59], [61, 124], [30, 117], [0, 83], [31, 110]]; loss = 0.011017 low_pass_filter = 0.300
+Epoch 0: | | 37809/? [7:08:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 37810; scene = ['8cf8eefab5a62f0d', 'b0c87a960cc0e142', '60a93ae5bb06a238', 'ab1185dab9b6da5b', 'bc36023dc3113bd3', 'a06f1c55096a6e49', 'aa5dd9c4063f6e6c', '172173d0bf0c1fce', 'a54873f89d266195', 'add32babab3b0aa0', '7cd91d0323b7067a', 'aaece70a39dd3257', '2735d9182acee2f1', '3afed25f2ffc4864', '39f7c76ef42ac1d4', '17fbb941d129b91f']; context = [[0, 46], [13, 74], [52, 118], [28, 89], [14, 77], [5, 57], [37, 118], [4, 59], [2, 67], [22, 82], [155, 211], [86, 145], [0, 47], [4, 75], [4, 71], [35, 106]]; loss = 0.013107 low_pass_filter = 0.300
+Epoch 0: | | 37819/? [7:08:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 37820; scene = ['82d896f5142ee6dd', '153a1b86a21c98f7', 'effd59a5eb4d2cd1', '19479ef94164d89d', 'bf7d85286d95a16d', '242ee2c8b1208167', '11b74ef19465ab45', 'b74fee95757199c8', '61c9b6540aaa5884', 'd1f583b4b527fefe', 'c897303a7723198d', 'f7498ea452fed198', '36107140acb611a3', 'f70ae846db4fddda', 'bef206c32ad4b41b', '3c15b2ce08b4d3eb']; context = [[39, 105], [50, 113], [75, 155], [9, 56], [0, 67], [0, 74], [6, 71], [46, 99], [15, 66], [22, 70], [108, 176], [6, 73], [3, 53], [22, 85], [147, 217], [4, 74]]; loss = 0.012648 low_pass_filter = 0.300
+Epoch 0: | | 37829/? [7:08:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 37830; scene = ['905b1855f110a802', '0ee1992781f90c07', '94c9aa266f266590', 'ecd5e56d2d3038e7', 'c371d1ab17ce1fc6', 'fd89bf7100bbab61', '38313c7ce5d8fc08', '070f0f205e58ec62', 'c82c5705fa8e6a19', 'efc8b93133b0f6f4', 'b7f47dac8c0ae90b', '17675b4e73f05823', '65fd119cae53be01', '3b85815f3e1df080', '9bbdffac7c93063d', '79b01e4345584de7']; context = [[44, 130], [15, 63], [0, 51], [4, 58], [38, 101], [66, 137], [68, 142], [10, 72], [127, 183], [37, 95], [29, 100], [0, 54], [11, 80], [6, 53], [46, 100], [3, 51]]; loss = 0.009517 low_pass_filter = 0.300
+Epoch 0: | | 37839/? [7:08:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 37840; scene = ['243fb7e3a764ccbd', '5ed4b20886e2e819', '0936d479a2231654', '7390d39ad1d8860e', 'feb823568eb80267', '040875f6c7c6e57d', '669931fb3be86a5a', 'c23b2d4d5e14e6cb', '2b5ee9f95a7b2952', 'ffe6287f703a9087', '6030f480148fe616', 'f5389cf7168ab81c', '1fb84b400b0eeffe', '4b081e386dc80130', 'f6a6729072b2b2d1', 'f5864b8687706513']; context = [[89, 146], [2, 62], [29, 74], [0, 60], [26, 87], [44, 106], [39, 105], [3, 67], [20, 107], [47, 110], [53, 109], [51, 111], [2, 47], [64, 139], [8, 98], [14, 95]]; loss = 0.008525 low_pass_filter = 0.300
+Epoch 0: | | 37849/? [7:08:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 37850; scene = ['659dd36d2be1ecb0', '7a9dda133aa70876', 'a8a9b30bb4cfcae9', '72cf2e2ac5f4da4e', 'e12dd01d2fbb01bc', '5143e1184f8b61c8', '63876ae4cab0165b', '1e4f8f07f0fb947a', '824abdb9c8b1c463', '840c850308f1f3f7', 'cbc2e7b967ecc4f3', '3fdc3a4cae9be243', '80bccdc5e58ea4d3', '256772a5575ec23a', '894ba981bfac8b19', '87e217f0fb889cd3']; context = [[9, 57], [12, 57], [39, 124], [28, 90], [12, 98], [118, 173], [117, 184], [9, 89], [79, 144], [58, 122], [43, 116], [80, 140], [47, 93], [8, 78], [18, 70], [19, 78]]; loss = 0.010774 low_pass_filter = 0.300
+Epoch 0: | | 37859/? [7:09:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 37860; scene = ['af7f2e466e3d478b', 'ac1bdeb4d15992fa', '3dcd5430029f116e', '051c12257290ce8f', '1b7ee4e1a4a96195', '911dac0535d47c98', '8f3ab736dcec6b8e', 'd1ec8bd43d53a642', 'e8b1649721a72c05', 'dad3dca3074b8196', '7b81bc0960e1ac22', 'bce7fdd54adccc93', '438335834436a7ec', '658211c325be8044', 'c24a7025a5737a3c', 'e296c62a58919a9d']; context = [[20, 108], [106, 163], [64, 110], [11, 58], [167, 248], [18, 79], [135, 186], [129, 197], [17, 77], [7, 83], [7, 76], [57, 146], [60, 130], [2, 50], [48, 95], [20, 104]]; loss = 0.008794 low_pass_filter = 0.300
+Epoch 0: | | 37869/? [7:09:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 37870; scene = ['dfd7cac24b2e6d3a', '7b0ef31a4906b4a4', '0e2e11032cffb1c0', 'de1cf9fef80fbf69', 'e4a4b2fb769796c2', '70e9cedc1b651390', 'd1a73fa57779380a', '7c3e16fde4732eb6', '86bfd95d15e6e77f', '8acc319926b0eb23', 'e1ac0872443deb8b', '505e3a60c010679c', '99f9a9b680b860e5', '9c0371059c58a78e', '59f3bc69c37fe460', '7af8f06cde2e3206']; context = [[1, 46], [51, 123], [6, 87], [78, 153], [22, 103], [4, 49], [26, 81], [16, 95], [36, 88], [0, 85], [111, 168], [54, 118], [4, 56], [0, 66], [77, 166], [125, 187]]; loss = 0.009399 low_pass_filter = 0.300
+Epoch 0: | | 37879/? [7:09:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 37880; scene = ['07486563a4a6767e', 'b8a22214c93484b4', 'c58fe96a6470ade7', 'f26265876d49f8eb', '930445560df8678a', 'd0e5375ea13f7b31', '195fc11ccfc6373c', '1715b52a913b953a', 'c57e6a4defebacff', '783a62439d03c764', '2558560e4ba11930', '2024b4f262746dd9', '8888284d5842e20d', '9a5ec225cc655d4b', '72ca9d448714efac', 'c56fd76f9112e79c']; context = [[66, 130], [4, 63], [132, 187], [9, 79], [27, 87], [0, 79], [7, 53], [94, 159], [40, 101], [2, 78], [0, 84], [1, 62], [6, 67], [54, 133], [16, 71], [4, 67]]; loss = 0.012340 low_pass_filter = 0.300
+Epoch 0: | | 37889/? [7:09:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 37890; scene = ['9a30d3c547f96fb3', 'eec0eb22d6191fbb', '7951ab2374350acd', 'ff41f8b6a0af9382', '96594799c47beb71', 'eb9514b9924bd0c3', '12a9071fdbc06fee', '3c5fb699269c6353', '283b240cbd81ebc7', 'c05a6c1249a7fc86', '3ab77edf1ebc9d0f', 'b1026413a8dc3f73', '1a0f85fd8b2981b8', '7f5d7db67c85db6e', '05a1a74b1d9019e7', '5c312ff4a32a368a']; context = [[46, 106], [120, 199], [18, 75], [155, 235], [4, 77], [10, 57], [72, 121], [186, 234], [6, 61], [99, 160], [84, 171], [71, 140], [34, 103], [150, 216], [6, 73], [160, 248]]; loss = 0.012522 low_pass_filter = 0.300
+Epoch 0: | | 37899/? [7:09:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 37900; scene = ['289ea553348d7a73', '1af27ef28bce64a5', 'a6c2b3f39f9251c0', 'c3388a4c38ce9d8f', 'b53c5559170c4f78', 'b18cf71baf1cf74e', 'fdf68971cb931cb6', '353aa510c78bb4ab', 'cb3bc0914e27fffe', 'c56172691de106e2', '5cf6fd40ba1bb8a4', 'b5ca277c9cb53dc0', '020f438641a03015', 'd71073498a4b7508', '3e1432574b8303d8', '39284b7f31b897c1']; context = [[1, 50], [42, 93], [1, 79], [94, 184], [6, 73], [187, 252], [1, 71], [19, 84], [113, 162], [21, 102], [7, 53], [20, 104], [53, 109], [8, 68], [30, 75], [79, 136]]; loss = 0.013074 low_pass_filter = 0.300
+Epoch 0: | | 37909/? [7:09:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 37910; scene = ['083888ddd44982da', '0569e6e41e18271b', 'ea1d7d4183eff93f', 'a45c154e21ffa65c', 'e44658a3501601eb', '7ac3519a24738854', '946f96dfadda281b', 'ab84bd6ad2c3f20e', '0ca0911df7c66c58', '3dd1ee9ce46014e0', '4a2c069d7bfa3eae', '0788c973574d562f', 'd8cb90fd13152e6c', 'd998d161753e9542', '4801c55743478ab4', '4a5e619c6f01c41e']; context = [[81, 155], [6, 64], [15, 101], [24, 109], [7, 71], [26, 82], [8, 84], [159, 226], [208, 274], [1, 79], [21, 70], [111, 156], [4, 62], [15, 76], [45, 123], [0, 72]]; loss = 0.009755 low_pass_filter = 0.300
+Epoch 0: | | 37919/? [7:09:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 37920; scene = ['56ccd6611d066f1e', '4c32929b9bde96fd', 'fd1262efb99b8fa0', '02dbed97d4546d8c', '7064a41c06854720', '105cb87f72ce69a8', 'd162f61100eaa1f5', 'd1bf37200ec6b9f3', '45dd934cb342509a', 'f7b66cf4efb27146', 'fa5c230cb2fa768e', '57a2e1f94490e770', 'b4e6ee21387ace94', '378c2fb1b45c30d7', '41aff47d6824d66e', '80a3ae42fa01f8c7']; context = [[58, 111], [63, 129], [31, 79], [32, 102], [42, 108], [187, 234], [0, 80], [11, 88], [17, 102], [72, 125], [54, 125], [25, 73], [4, 87], [72, 152], [4, 61], [28, 80]]; loss = 0.012705 low_pass_filter = 0.300
+Epoch 0: | | 37929/? [7:09:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 37930; scene = ['c3ac590cf4c79c6f', '8678ce25ecd260a1', 'b6a4891a9b5b2d37', '06b30bfd5d41942e', '5b66b0f0c61669e0', '5dd5054253cab35e', 'c8ce1d1a2b2982f5', 'f02a3456a8982ac0', '7ac6a65860255d89', 'f4e994c72a801e39', 'e2dd04a765274f4c', 'e5d9bba19e6090de', '10cc7bb061605d57', '63af9885dcfadd96', '558e6d3b43990261', 'dc4cde40cb53c448']; context = [[11, 80], [15, 84], [38, 122], [48, 108], [12, 85], [1, 46], [13, 80], [103, 151], [59, 135], [6, 83], [16, 63], [27, 82], [139, 206], [16, 62], [1, 72], [66, 126]]; loss = 0.009107 low_pass_filter = 0.300
+Epoch 0: | | 37939/? [7:09:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 37940; scene = ['9a4d4f8962081428', '10ac2115c6a95ae3', '0aacb7ba20d5b2de', '6ec5fec42f9856de', 'd5ff3791e665e700', 'f54afaa529791d38', '2d9e5a21d252ae14', '8cc4a9c07940e030', 'b7c906a0a3d5a9be', 'c554cbf54f3649c7', '9e3a0e80ccce007a', 'ba604b97e3b89111', '821fc852654481cf', '5ec3fb8cde184b21', '76ff279455982eed', 'b2b78a32c4452275']; context = [[92, 139], [24, 79], [37, 105], [5, 65], [8, 54], [90, 167], [127, 211], [10, 90], [39, 96], [68, 134], [29, 110], [7, 69], [11, 74], [23, 96], [57, 110], [85, 151]]; loss = 0.009680 low_pass_filter = 0.300
+Epoch 0: | | 37949/? [7:10:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 37950; scene = ['5b7d6f510045de0c', 'c6f270aee918729e', 'e9af8e5a35c54350', 'd4a2a9eb76093fa7', '893f7fc55d9acc03', 'd1c2b6d7abcaafa7', 'fc0f6476699ccd35', '3766ac6cc8557aeb', 'f53efa56a89798c9', 'c57f03185717e73f', 'cea208c8d33c3ab7', '07b622db0f313514', '3781936e21941a96', '6963e857ec109d3c', '73a4c1e7ce31eb66', '0846e54fa829a3cb']; context = [[105, 157], [50, 110], [39, 109], [123, 199], [3, 51], [0, 65], [5, 76], [17, 91], [19, 64], [136, 190], [36, 94], [2, 47], [5, 84], [11, 83], [1, 82], [2, 79]]; loss = 0.010570 low_pass_filter = 0.300
+Epoch 0: | | 37959/? [7:10:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 37960; scene = ['3eb81ffa1e18b6e3', '569da609d6f1d8d0', 'fbc1ce735bdab6e1', '1b166f3cc64364ae', 'e1189502481320fa', '6b34ef355b651ca7', '6e35cce189eaf2ac', '9214c3dce7de3f01', '0d665a3413c8764b', '0dafe350e2f5aa02', '3757462619d15dec', '2034845e359abfe6', '43c7b433a726321b', '703d8f552e7332bb', '06efe0146b2e5aa2', '1c40367f8f64b13b']; context = [[25, 72], [0, 88], [10, 79], [59, 134], [4, 54], [60, 117], [5, 70], [19, 101], [6, 55], [32, 96], [135, 181], [2, 65], [32, 82], [5, 66], [28, 74], [32, 83]]; loss = 0.010893 low_pass_filter = 0.300
+Epoch 0: | | 37969/? [7:10:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 37970; scene = ['3e82f9fbbfe76afc', 'f7933b7f0b1b4d8e', '5790f3223cba0631', '8fbfac2158a025c4', '4b7068f19d61a837', 'ac2f6532424563f9', '87d078a6132293af', '7543d863a85dcab7', 'a9ed25f9d08ff868', '334347999e76c28e', '854117547c5691d6', '8a34c9e16476e41c', 'a0ab47f15ad0a175', '2d8d59ff223d1b70', '4ae0c60db6050947', '75a17f30ebffbc88']; context = [[4, 62], [3, 48], [5, 64], [42, 114], [3, 51], [8, 82], [13, 85], [136, 184], [5, 68], [5, 93], [5, 60], [72, 121], [6, 80], [41, 93], [105, 172], [1, 83]]; loss = 0.010603 low_pass_filter = 0.300
+Epoch 0: | | 37979/? [7:10:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 37980; scene = ['bdb7ab53ed03a3c6', '577813a4c095fe63', '30f8149501a9caa1', 'e9ba3b63aee05039', 'a735bcc21457ef62', '0550fc77f285b0ae', 'cb62165828675290', '64074874e99f7647', 'e1593b5aae9fcd36', '19480bfabbf69d96', 'a87de6d33a1248c8', '97c17a65b67361bf', '72975c529694ef9b', '7c2e6d49485e3f27', 'a96856591edac79d', '500e818ab2b2d06a']; context = [[6, 71], [14, 87], [12, 84], [14, 59], [50, 109], [17, 64], [43, 90], [4, 87], [15, 99], [35, 111], [21, 69], [0, 82], [165, 231], [0, 45], [2, 48], [17, 69]]; loss = 0.010849 low_pass_filter = 0.300
+Epoch 0: | | 37989/? [7:10:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 37990; scene = ['7303b180402fa4e2', '484a9bbc30003fcc', 'b3eb7d9489b53fa6', 'e654c951fe486a67', 'a890bab1154211c8', 'abfac8e8c688c9f1', '1e655b97eff9ed44', '245ec87f817cf1e4', 'beaba217aedcdbf6', '8ee376f0a298ec87', '0dcc9979156d2fa6', '480231b83d000bf7', 'a25bf33f9d312013', '205de76eec36ffca', '71ab9816948406c2', 'acefbb31025956af']; context = [[2, 80], [58, 134], [0, 46], [7, 97], [37, 118], [6, 63], [0, 51], [30, 80], [13, 83], [63, 152], [0, 56], [3, 53], [2, 89], [8, 64], [20, 88], [99, 174]]; loss = 0.009210 low_pass_filter = 0.300
+Epoch 0: | | 37999/? [7:10:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 38000; scene = ['109dab316be31072', '5fda305d4227ad1c', '86bebda47383c669', '2cd79ad278362a9d', '21eed0b2652e66d7', '4ce102ed6fa5346f', 'd81b83c06200192a', '7b173309e3adba36', '93fed0283d683198', '536bdfd087829c69', '1d6b02844df00066', 'd1f11ff6b25136a6', '502c2d01977073ee', 'e5d56d435c2d43de', '7fcf22e08f55d9dc', 'd805fb46f3952987']; context = [[14, 78], [27, 88], [79, 124], [0, 80], [77, 137], [31, 101], [62, 141], [10, 79], [24, 78], [11, 67], [2, 92], [21, 108], [99, 146], [155, 210], [187, 242], [25, 80]]; loss = 0.012771 low_pass_filter = 0.300
+Epoch 0: | | 38000/? [7:10:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0validation step 38000; scene = ['cdef9e6563e99383']; context = [[39, 101]]
+Epoch 0: | | 38009/? [7:10:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38010; scene = ['1b38ef04f2839dd6', '594a53a4007ff3ee', 'ea4fb83f87109ac9', 'c10a042037a5a120', 'cf784e584d2d33da', '8663906248d346cb', '4308154957c1ef63', '2950884335bd243c', 'd29ff797dbc69ab5', 'db9bc0ff275d4fbb', 'a3a5e373d876db0e', '2eacf9db1843546b', '6187332401a328eb', '0f93fdb52c6933cf', '7300b62195688898', '4f202bd24cdf8dee']; context = [[41, 93], [1, 71], [36, 88], [0, 77], [0, 45], [142, 207], [2, 52], [1, 69], [110, 181], [20, 109], [80, 138], [1, 67], [109, 165], [22, 69], [50, 137], [17, 98]]; loss = 0.010383 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 38019/? [7:10:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 38020; scene = ['3c98d600041d2bcc', 'e840f15a503d14e5', '4188d18d531e631d', '960176f87cb28bcd', 'f400159b3dd78ef1', '5b3ebcc7978db790', '0c0914577ebe7288', '58cdd230b4f5b590', '1c59278c74ba3308', 'ac6f577f464b2a48', 'af105cd09514cce6', '50a188daaccbfe3a', 'e5f41c9021b0b7c1', 'b94fc288d2b736ef', '247393e72009dab0', '513826433660cb1c']; context = [[1, 75], [68, 121], [91, 136], [35, 90], [188, 243], [6, 57], [6, 72], [12, 100], [47, 128], [30, 77], [0, 77], [38, 125], [153, 224], [13, 80], [9, 58], [15, 76]]; loss = 0.010828 low_pass_filter = 0.300
+Epoch 0: | | 38029/? [7:11:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 38030; scene = ['f824e9aae22d0369', '335cbc02c8b641d1', 'd05469e324c0bc42', 'b5dfd6a33604ede4', '0f3d070f4b358f54', '4c167e89c379faed', '6c31b1dc128b49d7', '2352dce87a236495', 'c99ab9b0911f0d72', '46b932fc6f061d63', '778db35244748422', 'f97b13a0875462d6', '68742c3ac6d511e5', 'f733d225ad2bb09a', '859236e0cbc2f4a5', 'e56221b081fdab71']; context = [[61, 144], [28, 73], [0, 54], [77, 133], [0, 64], [43, 130], [110, 167], [13, 58], [105, 173], [95, 169], [135, 216], [98, 143], [9, 58], [3, 74], [54, 133], [32, 90]]; loss = 0.010047 low_pass_filter = 0.300
+Epoch 0: | | 38039/? [7:11:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 38040; scene = ['ed352f2665692016', '8364c4321985f96f', '68c25f69810089a9', 'a30e8f30f010b35d', '3177e84ecef83f28', '903f7c6f848de281', '1ac4cfaff40371ba', '18e66f4ce4b016c6', '96422d8d95f912c1', '77599310739d08b6', '607acbde108694e4', '5e1afe14aead7542', 'b5f5bd68eb8e3559', '644b75fbb7a4ae21', 'fc13b2d2ffbcffe8', '45fe4bbb2526ca6e']; context = [[0, 78], [10, 79], [97, 180], [139, 200], [65, 113], [29, 105], [44, 129], [6, 79], [4, 64], [3, 50], [88, 166], [27, 88], [60, 120], [10, 76], [71, 138], [50, 138]]; loss = 0.010469 low_pass_filter = 0.300
+Epoch 0: | | 38049/? [7:11:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 38050; scene = ['a86ad11e2813e855', '06740c3d029835d2', '0ab75011e9c92a01', '38d4b64a2c62a10c', 'b81a88ba12cb339c', '818df63ddd1cf294', '88c10677dde7a461', '71e276d963c867d3', '5a653e5ebdcdbbf0', 'c2ad8a9ba52a66e4', 'ac73c593c5fadbb2', '582b42ffa44c4437', '46ec28923c735944', '30ee4fd9eccc6b9a', 'e63575e2657489fd', '8163796864b51991']; context = [[148, 233], [8, 80], [32, 119], [21, 86], [78, 167], [1, 75], [22, 79], [4, 84], [24, 81], [47, 131], [51, 105], [8, 63], [1, 54], [26, 114], [3, 70], [57, 109]]; loss = 0.014875 low_pass_filter = 0.300
+Epoch 0: | | 38059/? [7:11:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 38060; scene = ['ba1cfcf3fdd04579', 'c60161d70d4a37c0', 'e259ed73b7ee9dd1', '0d7c1a3319b74e43', '03547a7d7e71d13d', '35c139cb56dae1ca', '65c3f29c43dd1e63', '3e4627cb115160eb', '5a0f4971a1fb444e', '8b043c1d687545e1', 'fd6368a0f2fa72af', '574c4d856cb3abf5', 'cf807787ef5b8f62', 'd155f6f763021c37', '1e85f953f89df2a8', 'd0b0a16bde7ef31c']; context = [[5, 66], [116, 181], [27, 104], [9, 85], [229, 278], [2, 60], [6, 51], [198, 243], [42, 122], [24, 104], [18, 89], [1, 61], [21, 89], [2, 48], [8, 69], [35, 85]]; loss = 0.009941 low_pass_filter = 0.300
+Epoch 0: | | 38069/? [7:11:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 38070; scene = ['1229dfbf06d50470', '2c1b31dd1dd65324', 'c87dead79bae5c1b', '76b78ceb6cc89c99', 'c037d143a8e0ccbd', '3580c8713b199cc9', '595babb1c9037e3f', '1a84349fb2a36ad9', '9985153755b905cd', '962084e11146bb55', 'e28781365469c1bc', '20e9ed1c2504af2d', '155bc9ea0b7045f3', 'eba25d15f8c70f0f', 'd8a689c565481aa2', '650463c0a23b644a']; context = [[20, 68], [118, 183], [97, 171], [24, 94], [40, 125], [0, 54], [99, 161], [11, 93], [124, 204], [37, 84], [7, 77], [82, 162], [91, 141], [16, 87], [12, 76], [15, 103]]; loss = 0.012211 low_pass_filter = 0.300
+Epoch 0: | | 38079/? [7:11:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 38080; scene = ['1feb9ecdca23818f', '06e4a604e5a0bfec', 'a48bd89d4c750b98', '143bfbda2460bd45', 'c8fefdd251b6d90c', '0a4f895d103b3f57', 'b4c307f6a16e7660', 'cd46cda78a86e4ff', 'ebce0e22003b1b97', 'af63bf3a8f7b4a47', 'e5ef6dfdcbcf430c', 'ca39898dc82ac69d', 'd725f58a68fccddb', 'fe2df6a236f5bc79', 'c42c6d551c4c4d62', '57ea5883b42d1a76']; context = [[22, 75], [2, 77], [69, 115], [101, 171], [2, 80], [19, 68], [12, 92], [92, 146], [2, 51], [2, 72], [20, 88], [92, 177], [5, 91], [6, 76], [98, 147], [0, 82]]; loss = 0.009663 low_pass_filter = 0.300
+Epoch 0: | | 38089/? [7:11:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 38090; scene = ['377a26af83fd210d', '3fec42c6570a70d0', '4f768e705a9c812b', '0b95756523e57ef9', '7788c075e21e862d', '1fef55c7753f1cce', '5c88ff05f51279a4', 'ef788a2216895f19', '437b5b7a2fe26b67', '7ab9776ea53a33be', 'af8138fd057cb9ba', '5b56bc954e1facf7', '3f27e74e06018bdd', '58a0cb2ee7df863b', 'a5e7bac0c5ec864e', '26855c82574154fb']; context = [[15, 102], [0, 90], [8, 63], [5, 65], [11, 57], [86, 153], [48, 97], [59, 108], [113, 179], [7, 75], [7, 52], [21, 88], [28, 73], [38, 92], [77, 126], [42, 107]]; loss = 0.010522 low_pass_filter = 0.300
+Epoch 0: | | 38099/? [7:11:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 38100; scene = ['b8d6dfd707b7165a', '1198d37162be14cd', '0b72b431bcc27904', 'ad95074b40f49e6b', '21abe550e2564c53', '3a45cc3847c98390', '91214e26a4b8b468', '4308e0766d924995', '8e53e7cae01ffe5d', 'f42b9fd27850d7e1', 'ce11fac2d43ed83b', '4e06000409ad97bf', '0928998054c51877', '6e05907e3f19fd3c', '71eaf6a42c20b54e', '3a00bf0557f697bd']; context = [[8, 92], [14, 69], [1, 78], [30, 110], [29, 95], [127, 195], [1, 63], [22, 85], [1, 75], [42, 97], [29, 101], [0, 46], [69, 147], [39, 124], [4, 89], [0, 83]]; loss = 0.012115 low_pass_filter = 0.300
+Epoch 0: | | 38109/? [7:11:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 38110; scene = ['71becabd789f58ab', 'c699a0c7b862e041', 'b83886f0e8bc5a63', '0fc2d2e45645813b', '360a6813db41635f', '5b756acd27bfbaa9', 'a165cf3b52d52672', 'bd814603b3e38fb1', '3d86d5c255821277', 'dd6b426f383d86cf', '774047a695fba862', '5ba779733d379dfd', '41646b4cab9e19e5', 'ab749461af5d5717', 'c1be42b2ade872b0', 'e6cd96ceddb9b665']; context = [[4, 72], [46, 98], [16, 76], [60, 105], [103, 167], [1, 54], [98, 186], [143, 215], [1, 63], [6, 73], [84, 146], [62, 111], [62, 126], [17, 67], [55, 121], [1, 53]]; loss = 0.009742 low_pass_filter = 0.300
+Epoch 0: | | 38119/? [7:12:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 38120; scene = ['df4506e800e19bd1', '1c4853b9562447dd', '32261dd2941cfcae', '683c969b32f1b4b6', 'e5537547dd598187', '1fefe15b477db1e5', '35d9cc4d7e5487a1', '0cb47bf3e9ed3aa5', 'c0e387d3a6285a32', '15c9a1e812246b15', '1164844756dd90a7', 'ee605ae319bbb3e7', 'e07365117a8b4c36', 'c133fe1ba03631b8', '6c63e747c6ccac2e', '42a118392a6d7d4f']; context = [[2, 79], [191, 267], [97, 185], [180, 243], [3, 59], [132, 199], [184, 236], [5, 64], [47, 108], [0, 83], [118, 177], [56, 144], [22, 103], [1, 46], [10, 90], [1, 51]]; loss = 0.010992 low_pass_filter = 0.300
+Epoch 0: | | 38129/? [7:12:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 38130; scene = ['ef445bf994788b81', '67220c977a681ac0', 'ed491b6b382a27dd', '8c8f544747e05e5d', '9289b45affc0393a', '8c7d11ab92e11ec2', '581114571144e6fb', '975fddc4aa1ebaf7', 'f7011566a1bd9f85', '24450034eff8a6bc', '62061c7c44274dea', '14a4cef572e9d315', '8b2348d751ee051b', '1645604849493d09', '2c6eccaf73d3abd6', 'a1879f47b5c0ea50']; context = [[0, 57], [100, 165], [68, 119], [32, 122], [20, 84], [32, 104], [2, 82], [12, 58], [10, 79], [7, 84], [6, 52], [30, 84], [74, 137], [30, 79], [57, 106], [1, 61]]; loss = 0.010545 low_pass_filter = 0.300
+Epoch 0: | | 38139/? [7:12:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 38140; scene = ['2cae9627f30c2c23', '29ca12a090c5d6da', '2fe3aa52ae31c484', '2064cdc994318d4e', '4634e127286f20c8', '03b39900285e978d', '17f9beb10ab4ba3e', '350a508a31e0b121', '5f2f43c51cd498f1', 'c13f2d587ae31554', 'd9ba46350c5afe5f', '26865dfe439caf77', 'd50d7233845eaffb', '2be0a2db028836f9', 'd206673ebf65db82', '7bc7fdbcf2d99f74']; context = [[12, 69], [30, 75], [42, 95], [55, 109], [20, 90], [74, 122], [13, 63], [128, 195], [77, 159], [4, 85], [13, 83], [11, 89], [16, 99], [16, 68], [81, 170], [38, 87]]; loss = 0.009694 low_pass_filter = 0.300
+Epoch 0: | | 38149/? [7:12:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 38150; scene = ['9af2ad7f7fe8589d', 'c73272627b13a495', 'e9554c14b787529e', 'c5c0ca1ed57d6f0d', 'c338b5625ab72dde', '270644731647fb92', '4ed59f0ee55f249b', '08f243f58cbe5d22', '012d6a11ce2461e5', '1ffe50aa97052b99', 'a924aad5ec2cfb5e', '19b10eae955dd969', 'dc50a5e1a0944fac', '94268cc0d44cd2f8', 'b9c5c7b6db633f2d', '225ba5fd4f771aba']; context = [[5, 79], [16, 82], [60, 117], [9, 79], [93, 174], [72, 154], [29, 90], [179, 257], [89, 165], [10, 59], [33, 88], [5, 59], [87, 155], [8, 92], [30, 100], [10, 89]]; loss = 0.011696 low_pass_filter = 0.300
+Epoch 0: | | 38159/? [7:12:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 38160; scene = ['b159d0a343e96ba4', 'a1e76665f15a0957', 'a9e35f71da9b95d7', 'ee083b9c6270ee54', '63a1ddb171e376b3', '604f1cadc2bc9d12', 'f3803c80b896e69b', '509f4cd205dd12f7', '564a93bbbc4a73ad', 'e4c78883f6775f94', '6169c25afc317b7f', 'b6203fdfeb97f2c6', 'a66b6e8c09115d7c', '6c9afe02d8390b5a', '159e4575ac8d8465', 'fadf8681f71b6225']; context = [[99, 185], [0, 71], [3, 52], [62, 118], [0, 52], [14, 66], [139, 223], [68, 153], [16, 102], [0, 83], [5, 51], [137, 205], [16, 66], [8, 86], [0, 59], [0, 63]]; loss = 0.009223 low_pass_filter = 0.300
+Epoch 0: | | 38169/? [7:12:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38170; scene = ['8276023f7630f02c', 'e5da140c92b92632', 'bdee0698adec58fe', '526c59f06f78ef7e', '84b68420048d9bde', '6146377d0f7c8084', '1a846057f66a916b', 'b316111b3f4a86b2', '5a90e252660a39c9', '8d8bc81314ee7d5c', 'fa03b90c494b6971', '9ac86842800aa7b8', 'cfc86808b03645f2', '0ec72bd0390fe1b1', '2536108e699d5da7', '4fef71e64595a0b8']; context = [[149, 209], [4, 78], [5, 71], [0, 50], [181, 255], [22, 68], [1, 47], [21, 105], [3, 68], [1, 52], [15, 102], [11, 84], [82, 165], [17, 66], [25, 85], [8, 62]]; loss = 0.009847 low_pass_filter = 0.300
+Epoch 0: | | 38179/? [7:12:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 38180; scene = ['955559418313af15', '4dfd54f3098821dd', 'fa6335a92d7faa48', 'de832a9e5c890869', 'f143d7c9ff7c1234', '10fe0d451220407a', '26e1218850abd298', 'c6ea933d1fff0d59', '4c8ecba879bb3eed', '2443e886f743cc34', '73dc27448e4f065a', 'e46419c7826b661c', 'ca89e36b41581eb8', '5f0f26d2f069837f', '2e4d16122bd76f43', '7d6557b3ee6eaa8c']; context = [[172, 244], [0, 51], [80, 150], [1, 55], [2, 81], [94, 174], [37, 114], [0, 70], [13, 67], [1, 46], [12, 88], [30, 84], [50, 116], [13, 68], [62, 147], [25, 91]]; loss = 0.011141 low_pass_filter = 0.300
+Epoch 0: | | 38189/? [7:12:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38190; scene = ['3539d531cb61889f', 'b972669c5c766b18', '8898e2a210362ba7', '70716081af03e1f7', 'fa815bcdb9927d2f', '401a8412c7de98a2', '85a1f78298042147', '827e64702c874a05', '94c1d9744c3d43d8', '1c920b38bd59f0a8', '6512d658e8b42f9a', 'c41ec7d3f062292f', '8a54963763c7074c', 'ee5253dae1574a08', 'a6a59191a5b213ca', '0dc1c55f19440123']; context = [[81, 168], [0, 67], [8, 69], [4, 54], [12, 81], [11, 69], [26, 90], [37, 121], [49, 105], [98, 169], [25, 72], [131, 218], [49, 116], [3, 56], [35, 111], [37, 104]]; loss = 0.009870 low_pass_filter = 0.300
+Epoch 0: | | 38199/? [7:12:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 38200; scene = ['cad83af880c4f0dc', '45f093b002440140', '749a509eb127ea56', '4a12eddb909e001a', '96640585e0c7373c', '6a4baab4d302d614', '6797efbddf6c78c6', 'ad5ec508098f2090', 'e3d77654e29ec6c1', 'ef44b8efeb7e8b0e', 'c0d31c722939cbc8', 'e0be76d8ccdc1fbe', '009b0cac4a16bbaf', 'c19839af089b3874', '4fcb1e9198e54b4a', 'b62637bfb3e6c4f2']; context = [[3, 48], [33, 90], [124, 183], [13, 62], [20, 110], [10, 96], [2, 48], [72, 148], [20, 67], [52, 123], [34, 97], [8, 59], [15, 76], [21, 71], [112, 167], [1, 69]]; loss = 0.008568 low_pass_filter = 0.300
+Epoch 0: | | 38209/? [7:13:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 38210; scene = ['d9e0fbd08e604fcf', '970767e29cf84f39', '68a3b46fca433cb2', '89a259054c86c2b8', 'a50ad10fbaf3944e', '9ab202bff0564dc6', '31b2b4402ca020d6', '53e3cefb76e02bed', 'f70d8dc3f5ba58dc', 'f854d7e5ce456dab', 'b453004f4b83ddfc', 'e4832b64e5b73784', '0be9edb1ba9bf557', 'a51722bd986895ba', '0ba8a59b524ec188', 'd5b62e2693108c0d']; context = [[5, 84], [80, 135], [79, 164], [44, 116], [24, 95], [49, 128], [31, 83], [50, 101], [4, 51], [31, 109], [50, 125], [26, 103], [108, 185], [39, 92], [19, 73], [7, 74]]; loss = 0.014453 low_pass_filter = 0.300
+Epoch 0: | | 38219/? [7:13:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 38220; scene = ['0fbdb79a21cca427', 'bfe25c63d7a31e6b', 'fa329cbbc020ddb6', '221efb3325905449', 'f3cacfe3ffeb7f0b', '23cce795aa30ae38', '65de107f6b39ec37', 'fc68db62b98934af', '2e770da39beca629', 'd1b9a1b70474466f', '5f0a8cfefdaaedcc', '7039734be2f00317', '51d0544fae56e467', '1374f1c247f796e1', 'cc64908cbb514ebd', 'd0a703be7fbaa9db']; context = [[125, 192], [1, 90], [6, 78], [5, 51], [49, 105], [70, 122], [83, 143], [47, 96], [59, 132], [0, 63], [104, 190], [3, 91], [89, 146], [95, 165], [113, 176], [71, 135]]; loss = 0.010089 low_pass_filter = 0.300
+Epoch 0: | | 38229/? [7:13:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 38230; scene = ['3bddc5d804941402', '45fe4791e4cd5931', '87c924499e6e0e27', 'd93bfed273f01550', 'f384611b03428126', '6a4ae39c67a47ba5', '07e88eb06321ac86', '05391aefeb1334be', '9dbd9623f02b4815', '5afd54ff10bf02f5', 'a88e46e5d8711c8e', '792a9b92fbcee6fa', '889141249495d6d5', '525a5fe905539bc0', 'c176654607fd9cce', 'ee15098deacc41b5']; context = [[157, 208], [14, 93], [1, 47], [25, 99], [123, 209], [16, 62], [4, 53], [45, 95], [0, 83], [7, 70], [94, 182], [88, 150], [36, 90], [13, 84], [47, 97], [50, 139]]; loss = 0.010900 low_pass_filter = 0.300
+Epoch 0: | | 38239/? [7:13:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 38240; scene = ['6dfe41d46d841142', '8f504acbf63a2e05', '397e9da33cc41440', '3a158a1cdbddebcc', '7694f69099715be2', '5744343c3743a903', '00f0764e16d6b22f', '6da9d447d687367d', 'be744a8b88c60270', '91641027c5a42937', 'a16ab48a335c2363', '5f42c04b5ea03b53', 'a6fe568fafe9518c', '63931c43c4ca2218', '6b1df56d16c76f89', '96a9a981e60cf27a']; context = [[1, 52], [117, 194], [19, 81], [1, 66], [78, 142], [34, 111], [46, 98], [29, 98], [96, 161], [15, 89], [22, 91], [7, 58], [0, 64], [45, 134], [6, 69], [57, 147]]; loss = 0.012728 low_pass_filter = 0.300
+Epoch 0: | | 38249/? [7:13:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 38250; scene = ['5f9a86b7e44253fe', '4bb2c640159a3265', 'bab67c28f4d7c51d', '62e6b50e1a7d0800', '5792c9e2e44b905f', 'a66645498ef9d1cb', 'a50b756fe602d465', 'e1156a11a8fd878f', '5d890cd9c0c1a914', '9545530d8990fe16', '36cc03a02e240074', '937b5aa2a14d6fe7', '94a380cd813f4f2e', 'efd029ba74d35034', '905022e04c9c37f4', '35a4da1b96cb6e60']; context = [[9, 95], [1, 62], [3, 59], [37, 85], [56, 127], [28, 93], [87, 165], [44, 103], [17, 81], [36, 111], [4, 54], [174, 251], [63, 133], [90, 139], [157, 222], [7, 88]]; loss = 0.013516 low_pass_filter = 0.300
+Epoch 0: | | 38259/? [7:13:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 38260; scene = ['5751251801d5eb33', '5888770aaa4a968b', '211b3170fa4a2ead', 'c184945b52f9fdf3', 'a39e1687e44f7eb3', 'de05d4ed34195978', '53c54932758974ee', '80e41e132e60ee48', '8b95bc9e3b662617', 'e5adde4cd7cfdeb0', '4fed0ca3762d9020', '5b357eed900357ef', 'dc3fe6f0dd9c89fc', '65cd58dfb9df8a99', 'd9f4d087b09b5361', '398387e65925128a']; context = [[4, 90], [2, 48], [46, 123], [21, 108], [81, 160], [106, 168], [132, 209], [0, 88], [16, 61], [25, 91], [27, 99], [20, 66], [1, 71], [140, 198], [0, 70], [7, 77]]; loss = 0.012830 low_pass_filter = 0.300
+Epoch 0: | | 38269/? [7:13:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 38270; scene = ['0296dcc56c7fe3a6', '57859a70dfbd78d4', 'a9661ea3b30c456f', '6e1dfabb4d26383e', '67d8efc474193da2', '7b2603917973d2f5', 'f4102be87181dd18', '2edc486cc51c35ea', '3c5f2dae4dc0f519', 'b78e4f69840305e4', '36507b11801b86de', '9eb60828bc0f9e76', 'ea2d0140f0f46e20', 'f558b34b75640e97', '61eea10a6fb8003a', '1b6097e0c8ffaa23']; context = [[89, 175], [79, 145], [1, 78], [45, 120], [6, 55], [41, 104], [15, 86], [97, 156], [8, 76], [6, 95], [5, 92], [10, 100], [11, 96], [11, 65], [15, 76], [0, 46]]; loss = 0.009038 low_pass_filter = 0.300
+Epoch 0: | | 38279/? [7:13:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.80, train/active_min_children_step=4.0train step 38280; scene = ['1aa5fdc9ff855ee2', '380aa8c6d47a59a7', 'ba7019268cbd976c', '62f79fcf48f937c2', 'e1be2aa20daed815', 'c1cfcc23c1021480', '02f844373f2dcf3d', '17750427061a4a28', '3b389949b6964f37', '6df94ef3de5df0fe', 'a00305605d2ceeb3', 'e0b4ad7fb2e9cb8b', 'b3a5ee14b9f4d355', '425a6346d7e791e9', '23f3accd6282355b', 'e1389d013972ecd6']; context = [[8, 58], [10, 80], [66, 134], [1, 53], [22, 102], [11, 63], [0, 45], [3, 62], [149, 236], [6, 65], [32, 108], [180, 229], [65, 150], [154, 216], [2, 59], [52, 127]]; loss = 0.013048 low_pass_filter = 0.300
+Epoch 0: | | 38289/? [7:13:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 38290; scene = ['81c70e9ef4cc4b19', '40da5b52f6446644', '3244c1a0f0a62eb9', '6480aa85c5591f86', '794460d142973b66', 'f199ea57262f903a', '4a22f1f57ab31b3d', '8130930ce3ad5095', '87bb3dd7771d81bf', 'e2edab5b52966c17', 'a2d98d79eb90487c', 'f86fc98cc4793b7a', '519f68765cb5c6cd', 'a448d0b2c57603ca', '3d4066bca07d103e', '52701bf4a3f2a21e']; context = [[6, 51], [21, 70], [20, 100], [35, 102], [9, 73], [2, 57], [79, 160], [3, 67], [37, 89], [9, 95], [220, 272], [20, 83], [21, 74], [70, 121], [47, 120], [2, 92]]; loss = 0.012559 low_pass_filter = 0.300
+Epoch 0: | | 38299/? [7:14:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 38300; scene = ['09dc6ab625b8300e', '5502f11f9b3165ae', '873c3591f993adff', '2d410cc9d20b6526', 'b5e621584bcb03f2', '306235ebe8d8ace2', 'b94a189b3b04d1d9', '1a72762814407117', '22c80320c49a62a6', '310afc09b784c10c', '2d9ad09dfbbccc5f', '6c86fd352266b6f4', '4cd3e0c8f6a3b954', '2ba4ac8ad33f2604', 'a83f3746a11e572d', '7570e1000b6f66a7']; context = [[156, 208], [2, 62], [6, 55], [114, 169], [158, 233], [47, 92], [120, 210], [13, 101], [47, 104], [31, 103], [103, 178], [62, 135], [28, 97], [42, 113], [12, 100], [5, 77]]; loss = 0.012198 low_pass_filter = 0.300
+Epoch 0: | | 38309/? [7:14:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 38310; scene = ['aac89cdc7ac8f36b', '21d2fbc452f9d9b0', '7b2c118f021e6902', 'd8ddebbd5a79364b', 'dea5bd0f77069f72', '8ac83ba3156df8d9', 'cc8ca5db181e8bce', '321daaf7850e7d74', '6d70eee02ef9d6ff', '0ea852338a77c84d', '53db70b63ac3990c', 'b789c7458ec68143', '5961c0e76030094e', '65cdd012231a757c', '7400bbcba57af668', 'fbe8be1f434b7471']; context = [[1, 54], [12, 84], [0, 89], [25, 84], [26, 91], [59, 143], [4, 62], [144, 190], [25, 79], [2, 86], [67, 120], [16, 69], [2, 48], [129, 177], [196, 268], [21, 76]]; loss = 0.013915 low_pass_filter = 0.300
+Epoch 0: | | 38319/? [7:14:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 38320; scene = ['e77c01e0ab1921c1', 'd71019be54a08db7', '9ab0ecc80a10e445', '652a39baa0e151ec', 'a0df9a0b37424a6e', '5f45abde2f26cca7', 'ef7ea43291e530d6', '6332f7f499f99c67', 'ba5ca3690fdd8da7', 'fb774f1f577b648d', 'ccc47e61ed316fdc', 'a6ec4571131be6da', '629c6f1eb4c7af9a', 'ebb2ee0fdf9adb4f', '509ba1d49682702b', '4bb48481c6ccd349']; context = [[25, 76], [6, 59], [60, 114], [11, 80], [74, 152], [13, 63], [80, 156], [123, 178], [16, 63], [31, 98], [13, 60], [38, 94], [27, 76], [0, 61], [28, 90], [60, 142]]; loss = 0.011066 low_pass_filter = 0.300
+Epoch 0: | | 38329/? [7:14:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 38330; scene = ['d3d18ffce48db33a', 'eaecb3583a0e7681', '0ba3e47b99c04772', '21d7dc078fd4db7b', '386013ba48e47be6', 'd5f11c320ee101a1', '15b8f7652036db12', '0f66c9d3be156d56', 'd02327b51b3bad30', 'ed56fb0a3324c8cb', 'fe6b9b80b0e6a8d6', 'a0f0af3e118b6ca6', '37c605799e313a35', '307fdf75dc5b08a1', '44f828162649e72a', 'ca553e70eff3aa6f']; context = [[103, 165], [48, 94], [17, 70], [67, 132], [2, 81], [4, 57], [1, 90], [58, 130], [22, 76], [128, 201], [68, 122], [40, 97], [25, 81], [1, 81], [13, 64], [87, 172]]; loss = 0.009675 low_pass_filter = 0.300
+Epoch 0: | | 38339/? [7:14:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 38340; scene = ['ce40041f37ead09b', '2ac51dbf19b5dbbe', '2ae404c6c17b0005', '01bdfa97c1000a13', 'bf457ef05a5ff4a1', '3603128f53a4ed0a', 'ca06cf0769f7e5e0', 'e4ad4dde56a72877', '94e15ba487af3b15', '1b93bc7434a952e7', '1fb84b400b0eeffe', 'c23b2d4d5e14e6cb', 'f6a6729072b2b2d1', '4b081e386dc80130', '6030f480148fe616', 'f5389cf7168ab81c']; context = [[18, 84], [125, 190], [77, 141], [94, 158], [35, 87], [7, 77], [6, 71], [62, 116], [87, 163], [76, 134], [1, 48], [4, 62], [21, 92], [74, 135], [37, 97], [94, 173]]; loss = 0.009352 low_pass_filter = 0.300
+Epoch 0: | | 38349/? [7:14:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 38350; scene = ['79b1727c09334183', '6db9c9051381e481', 'f5f2f8e0a64aa0e5', 'f5b92161da94c240', '9a65556aae220044', '3dc96c1bb9abb3e3', '04304e68415ce356', '0e36897986bbddeb', 'e769f586e71e7aed', 'ac7fcd213168a999', 'b210d0377ab51282', '91c58367dea67871', '707532eae3641c9b', '38b203b44b7b4f57', '7b4006c02dddd695', 'fd121f0c77ac0c01']; context = [[0, 60], [202, 252], [95, 162], [7, 86], [44, 99], [2, 50], [70, 140], [1, 56], [106, 182], [3, 74], [6, 64], [31, 77], [52, 135], [6, 77], [35, 119], [166, 221]]; loss = 0.012304 low_pass_filter = 0.300
+Epoch 0: | | 38359/? [7:14:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 38360; scene = ['33bf51a57dd21baf', '9bae213a2e0667da', '29afe36e4ba597f5', '97d48083a9c554ef', 'fb9e93054db6ebbc', 'c0a19ec78a7ad15b', '17182e5c481e14f1', '3e0497b3be34d492', '4e2fbc828c9fe2bc', '8f7ee093c756747f', 'c9ae81970b7075f0', 'e59c541c3c0cc68c', '1d6ed861c30a6c05', 'fbc40b507a2ef712', '38d17287a2d1b35e', '76bb3998ec399bef']; context = [[11, 64], [15, 80], [8, 67], [4, 60], [178, 247], [10, 60], [3, 82], [126, 196], [0, 51], [29, 86], [24, 88], [41, 125], [0, 68], [0, 74], [1, 78], [70, 146]]; loss = 0.011673 low_pass_filter = 0.300
+Epoch 0: | | 38369/? [7:14:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 38370; scene = ['3f1a1e582e8c1158', '5013ce0333bfd2cd', '1c0f40cd04838650', 'a4c42be1726162f2', '7ec6f68e6166c5fb', '32936b5443076f5c', 'dc31972ed0e1d8dd', '1a1b424f93af5432', 'c28f5b0713ea8927', '807f25b62e86034b', 'e6c1977d9abd484a', '56de6aba69f7562c', '331108af4b30ad2e', '6e77ffab3e66c017', '4d3b87ffc55d9047', 'e8a0e1bd17e1c957']; context = [[85, 150], [14, 84], [55, 118], [11, 88], [39, 101], [17, 64], [204, 253], [183, 241], [28, 115], [59, 108], [11, 61], [26, 77], [4, 71], [15, 64], [1, 62], [52, 111]]; loss = 0.010185 low_pass_filter = 0.300
+Epoch 0: | | 38379/? [7:14:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 38380; scene = ['c3edf21323a1d24e', '2c6682e7b1e7b23a', 'f1c8dd3eca2368c8', '655505b3d15f6b6b', '28e273483a56fa47', '163606f5e088b2fe', '0ec17f60d1888068', 'd459f0fd6844dd6d', '821f8ab7d10fc4e0', '5f35ea53af8b7e22', '2f53f8fe1635c1e5', 'b3588b0f47be9ff1', '81a9db37de0a1549', '8e096002f3ab8224', '994f9c166991e13b', 'e9cdab9a58781c2d']; context = [[175, 237], [1, 46], [0, 69], [205, 259], [25, 113], [24, 113], [0, 52], [186, 244], [116, 163], [32, 78], [26, 78], [27, 78], [39, 117], [5, 74], [25, 102], [32, 84]]; loss = 0.010127 low_pass_filter = 0.300
+Epoch 0: | | 38389/? [7:15:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 38390; scene = ['70e86544c1e2ad3d', '0b0fe0d86da5a167', '52e9a293d9566f9a', '952e9e79dc92e39f', '3f4429a8249539b8', 'fd76f881e1223b09', '20a8dc93cb5c0703', '57dbeb44c9b27b81', 'a98ec507d448dea2', '64a14ca4bf94dc9e', 'b9ecd877d8a6c110', '40873337bb9786ab', 'c66acaba1dc7c1e3', 'b3948b46c43ce90f', 'd4e63c1413deec70', '34257fbc9a1044bd']; context = [[8, 95], [9, 63], [0, 85], [0, 85], [100, 154], [5, 91], [107, 159], [102, 155], [13, 69], [15, 82], [5, 56], [0, 74], [97, 144], [129, 203], [42, 129], [1, 72]]; loss = 0.012551 low_pass_filter = 0.300
+Epoch 0: | | 38399/? [7:15:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 38400; scene = ['b336064ab40baa9f', 'dd9b534218aaca38', '872186db8bd1c38c', 'af6f104783d5dd99', '96e97b817621a36d', '4f7e0130b1068114', 'd9e9cd2134b9d66a', 'dd64afc2f397641c', '0f6c5c6a7157b7f6', '145da22a89e0ae0f', 'c379d1f2aa883b74', 'dfa9b3fdc5798a43', 'cf7c0bb5089abf7a', '0f54778155d5fb15', '1c9d377f12e3bf79', 'cf54dbbf8815ad08']; context = [[21, 68], [83, 156], [3, 82], [70, 126], [6, 68], [22, 79], [31, 96], [51, 131], [27, 103], [74, 130], [24, 70], [2, 81], [3, 68], [22, 75], [15, 70], [47, 123]]; loss = 0.010950 low_pass_filter = 0.300
+Epoch 0: | | 38409/? [7:15:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 38410; scene = ['41043e181f5377c9', '912281b34d2c3a9e', '796ff6ded9b7805e', '4e51bd2f1763a84a', 'f08604329e31902a', 'e81ebff3e97d4e04', '00182dd4c74ab052', '3163b94a6d8ffcfe', '5a5a30f1279f5d73', '3bddc5d804941402', '0c21d34b9d9529c6', 'e2795d1f30fc69b4', 'b153eba06a4a7099', 'bbea50ba46f6ff34', '9212f92c5f6db4d6', 'ff1bcb136ea7651b']; context = [[25, 114], [49, 115], [9, 62], [14, 61], [9, 70], [116, 199], [131, 210], [12, 65], [47, 129], [7, 93], [7, 58], [57, 110], [15, 80], [65, 112], [33, 101], [2, 65]]; loss = 0.010777 low_pass_filter = 0.300
+Epoch 0: | | 38419/? [7:15:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 38420; scene = ['323bdfae8bc5f180', 'b4e91f9bcd03f6c7', 'e3912708738ed398', '38f50a03d51f7cd4', '04334b719bab18e6', 'c6794c36c3f5b9e9', '8a438bb1aedc93f8', '0c2c68a63c6abd0f', '6dc467961a80bdfd', '345208e1ad0a1f4e', 'f6f9e1143d780e3e', '0e4fd48b69609a3b', '1d34b5ace7d314d4', 'cf53d87ab9557801', '4d93b0a1d23b35e1', '6bac9522dd9bf619']; context = [[15, 74], [72, 140], [3, 54], [65, 116], [5, 69], [12, 91], [96, 173], [103, 155], [24, 86], [41, 89], [64, 138], [33, 86], [27, 76], [51, 134], [72, 135], [13, 64]]; loss = 0.011113 low_pass_filter = 0.300
+Epoch 0: | | 38429/? [7:15:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 38430; scene = ['3fe42e802362cbe4', 'd966e7c0739c36a8', '8c058dcde89e65b1', '829c847536f4ed7c', '93211c8c0ea19307', '2a5388604c40e212', '7ad5e90fc8434219', '6465050cb3142bb6', '9db124880f8d78ac', '6897a323d67edc41', '9c9b04a677060b5f', 'a27aaba0c4a2b558', '0eb3fd35dea6dea0', '501c7fced48eba59', '4cc30df9ffe2c183', 'a39df60612b60375']; context = [[130, 176], [10, 62], [4, 82], [3, 67], [16, 95], [44, 90], [140, 185], [6, 76], [77, 132], [10, 87], [23, 105], [2, 56], [35, 113], [0, 70], [0, 70], [64, 114]]; loss = 0.010372 low_pass_filter = 0.300
+Epoch 0: | | 38439/? [7:15:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 38440; scene = ['b053f2ffb587f61a', '80dcb25162875c87', '302cb40ec3d8d382', '877669d82404076b', '3b88293ca7f95129', '51efd34095f8e02f', '5510993fdf653e73', 'a5472b8884d218dc', '78bb6b90193e06b7', '414c283b07ec72bc', 'e3008ddbedfd257f', '3ecc9dbeec2451f0', '227bf499869cf372', 'c1067c28947eb908', 'a6d8c29cc124ba06', 'a3c290d59ba3d57e']; context = [[99, 151], [94, 149], [1, 58], [3, 53], [144, 208], [7, 94], [139, 205], [2, 76], [3, 64], [23, 97], [28, 84], [29, 96], [8, 80], [0, 50], [6, 74], [4, 77]]; loss = 0.012138 low_pass_filter = 0.300
+Epoch 0: | | 38449/? [7:15:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 38450; scene = ['d41a1962fa962d97', 'a2c1e912a4cb686c', 'd15bd6b9d047eabc', 'f9efbd129bac6209', '030091ba69ae37bd', '72de1e94d9864184', '489033bdcaa98fdf', '9733c922457884bd', 'bd77b6ee00143f9d', '4539ac4b4cc5ddb8', '854536a1d912b596', 'e0810bce9eb04d63', '58cdd230b4f5b590', '513826433660cb1c', '50a188daaccbfe3a', 'e5f41c9021b0b7c1']; context = [[11, 66], [35, 86], [1, 47], [9, 72], [4, 70], [13, 65], [12, 78], [2, 75], [65, 154], [4, 66], [85, 148], [74, 144], [19, 101], [33, 104], [32, 101], [149, 223]]; loss = 0.015193 low_pass_filter = 0.300
+Epoch 0: | | 38459/? [7:15:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 38460; scene = ['05f20de3b10dba9a', '883829eacd223cd3', 'e6f3acdbe3c6ec77', '4514a5c68e922b2e', 'de5c7c6d409b1972', 'be32cdc488ce00c8', '3e568ab74fb51248', '1e946a362b6b9ca2', 'b69e804602b55e82', '049782b6f061709a', 'b23bded8b95915ac', '14865449e509b130', 'eed7e480a5e88553', 'a0c40378636aecde', 'e4b7df0920724ef1', 'a895d0e5fbebc994']; context = [[0, 67], [80, 131], [13, 60], [5, 56], [21, 95], [36, 113], [49, 110], [9, 65], [79, 168], [3, 87], [30, 120], [32, 121], [0, 74], [113, 190], [76, 140], [6, 57]]; loss = 0.010289 low_pass_filter = 0.300
+Epoch 0: | | 38469/? [7:15:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 38470; scene = ['5ce7ff2707b0c558', '90beb28f8720f849', 'c75dd6b151fc618c', '0b8049e94cc33a66', '5c047522c1e8764a', '86168d9408d50c1d', '39fa6b21b5a2e65e', '70b6c45280496e84', 'cb6a581957b0a925', 'a7fe1e367a54260c', 'e970eebc4848850b', '6b30b0a24f895314', '34fb19cc7ed5b0f9', 'a1f824e305dab929', '7b7be5f8bfa1173e', '7452907ecdaa8596']; context = [[76, 128], [98, 184], [30, 91], [44, 125], [94, 163], [17, 65], [18, 88], [2, 60], [36, 119], [16, 83], [175, 259], [63, 140], [7, 97], [33, 78], [4, 57], [67, 137]]; loss = 0.011636 low_pass_filter = 0.300
+Epoch 0: | | 38479/? [7:16:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 38480; scene = ['9078703d92dc9e6e', '773672fa68feb0e5', '2b63dc474251e9fd', '64b638b1acb1c95b', '66423787a1b22e65', 'a5f7d3b8bbecabc1', '72eb2027396a78a5', '5bb4e27b60277cd5', '4aec5927198a97da', '6dc067e7269aeb1d', 'b3085000c9240eb6', '935f4b6c00b58135', '1572c4a6a6b91f35', 'e708d0f905809672', '99cbd88e83b13402', '3763e33c77859f9f']; context = [[8, 96], [7, 77], [2, 76], [0, 73], [6, 58], [11, 67], [104, 179], [26, 110], [20, 96], [75, 134], [15, 74], [41, 115], [6, 70], [43, 127], [13, 80], [153, 208]]; loss = 0.010632 low_pass_filter = 0.300
+Epoch 0: | | 38489/? [7:16:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 38490; scene = ['44471b1ddc8a21a3', '04d96fd21593f793', '422be740e4324b2f', '6d927b71b6530129', '2f3f9d1ca227e778', '8db618240a07e98c', 'bf69ec4556155b9c', '3b0dc213d9bc07b1', '165b637923e5e925', '9d73ce3d387b1c91', '72a3dac21cc5a55d', '42f21199800301a7', 'ad1c283e94360f3a', 'b0413d361b4e8abb', '27159dbf7b134cd9', '2eecc3ba2abc668d']; context = [[39, 106], [12, 68], [1, 55], [3, 59], [0, 58], [4, 52], [125, 192], [15, 62], [17, 67], [1, 79], [6, 54], [91, 156], [3, 61], [10, 84], [52, 104], [78, 124]]; loss = 0.007935 low_pass_filter = 0.300
+Epoch 0: | | 38499/? [7:16:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 38500; scene = ['adb394a7cad27fdc', '56831578d232b718', 'c4bf2152a0e7adaf', 'c3278a0759c29f0b', 'f247f6af52790472', '802520a7ddfd5f22', 'e0e1b530ae7d694b', '1be6fc913f1d123e', 'cae8b53dd676ac7b', '7dd0a696ebe83c1f', '22d6b729b80a9bd2', '1e70c4bee94d800a', '46878ea8715f1d72', '407c2d31135c10d1', '5c9b1540859a5ba9', 'afa22fdd147e61bc']; context = [[33, 80], [1, 48], [66, 143], [4, 71], [93, 158], [10, 79], [24, 69], [80, 126], [99, 160], [4, 92], [3, 53], [29, 99], [50, 129], [0, 75], [124, 173], [20, 94]]; loss = 0.010742 low_pass_filter = 0.300
+Epoch 0: | | 38509/? [7:16:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 38510; scene = ['f9f240e5d3cc903d', '2649892c4c56166e', '1f03faff350d4b59', '2b03daae55bca39c', '24397127377dbd81', '01166cb4cefb15d1', 'd2a67d5d2d55a04f', '7e5deb9e81477190', '464c4320ae4c4834', '8e301c50431da386', '669a73d1c2d378f3', '315815aa98415073', '262a536e25e2ae43', 'd59ab97b03d1164a', '79f4ef188c1f0a3d', 'd47a86be435af29d']; context = [[2, 69], [33, 123], [2, 56], [20, 85], [15, 65], [38, 103], [7, 58], [0, 64], [102, 166], [15, 105], [115, 161], [25, 81], [183, 262], [0, 46], [32, 82], [23, 94]]; loss = 0.011547 low_pass_filter = 0.300
+Epoch 0: | | 38519/? [7:16:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 38520; scene = ['d297538f14da1f52', 'f4e169b7394250b0', 'a8a2445b40f0ee30', 'ccd70d500f2e2bc9', 'e6ec55219ebe382e', 'c83fa4955ce845b6', '43bd98a947ea61ea', '8e3a30de58a7c09d', 'de3367e68290586f', '8b9263af01b07969', '68c475f64bd7d97f', 'da00eeceee79149a', 'f69c13c057282656', '6a2eaa760582f0bb', 'cbc078aa6b6fd707', '3c7e0966e4a6ea3a']; context = [[141, 198], [121, 197], [97, 181], [30, 90], [7, 54], [81, 128], [0, 60], [11, 87], [61, 118], [22, 80], [12, 92], [6, 95], [0, 72], [101, 185], [3, 69], [29, 117]]; loss = 0.014554 low_pass_filter = 0.300
+Epoch 0: | | 38529/? [7:16:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 38530; scene = ['41c4920e80cd6202', 'ff5a03ef6c90f076', 'cf55e72770ea7333', '51dc9115efef2cee', '04f2bc5f16d4cb18', '52c9ffc4ef2a36f4', '2f077fd02b5beef3', '6d6eb353e0bae93d', '97c933ec95dccd16', '43c384625028872e', 'c93a9c352e932c3d', '66e596d7d9e69462', '58a22a9b8905283b', 'fae6b0485c4b48ac', '525ec471352552ed', 'aac681d019b30c56']; context = [[144, 210], [19, 84], [44, 106], [2, 68], [5, 84], [14, 69], [0, 51], [9, 70], [144, 216], [31, 84], [68, 125], [12, 84], [6, 96], [1, 48], [68, 121], [0, 70]]; loss = 0.011031 low_pass_filter = 0.300
+Epoch 0: | | 38539/? [7:16:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38540; scene = ['a791ecc75f3cc01b', '26ef384aa1780815', 'e9e3e7a7b80eb5a4', '38c67fcd3b8e4f8a', 'f35c7fc7d001fc2d', 'd5a0aa264159a278', '53dc437d11e76ef6', '514db696ec759153', 'adbc22a988340ea2', 'd91dbf0156e0e69d', '0b4748c575a0b84e', '5ad0327426e3718b', 'ac2fc17a4de90b7b', 'a1dff9c50d92dc9c', '4bede15a09bd44bb', 'c837242a35ebcdd9']; context = [[2, 76], [6, 53], [97, 164], [82, 134], [0, 50], [13, 65], [1, 60], [2, 53], [5, 91], [25, 95], [24, 93], [55, 112], [6, 70], [39, 118], [17, 74], [171, 236]]; loss = 0.011578 low_pass_filter = 0.300
+Epoch 0: | | 38549/? [7:16:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 38550; scene = ['dee5a241fa290209', '2b6d2569e7101687', 'a2aa880feaa2168f', 'd77956ef6cbdf5fe', '16871758b1831d59', 'bf0fa530693a0482', '872c81315122fce4', '6be29a69562abd4f', 'b7e36b19a7b16f6c', '8ce50844cac30a9b', '666c37ba7ac3085d', 'f84512bfae8c1a78', 'e5d56dd99ff3624a', 'd1655dc2aa093510', 'db9459595f461e15', '0db71132ccfdfa95']; context = [[40, 99], [22, 72], [9, 63], [72, 135], [42, 108], [6, 79], [53, 135], [6, 66], [127, 210], [9, 94], [58, 106], [27, 82], [5, 86], [61, 134], [25, 100], [0, 59]]; loss = 0.013052 low_pass_filter = 0.300
+Epoch 0: | | 38559/? [7:16:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38560; scene = ['d86be83d7ba25a00', '800720e5d4d35cb6', 'da3a15bb1c3fb690', '9688eb18c8d557ef', '94fdc5c3dae6de01', '4bcc311e9b1e6330', '379ceee32c6d6868', '394ff4dc450c55fa', '74ead515131ddd0b', 'a1fb990016d7b3af', 'b833a0a3ddf1f7cd', '3d4b9b728d676007', 'ab1c5358d3bb05db', 'f29f238654d44358', '113a7c672823203b', 'a7b3b1f8ad45f902']; context = [[77, 163], [17, 67], [8, 55], [7, 94], [56, 112], [13, 70], [17, 63], [6, 57], [96, 143], [83, 146], [9, 92], [6, 57], [29, 113], [29, 104], [10, 70], [42, 94]]; loss = 0.008303 low_pass_filter = 0.300
+Epoch 0: | | 38569/? [7:17:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 38570; scene = ['2b2b8845427d1744', 'b1f0ea674605ee53', 'f49328cec36f3426', 'ea288350ae9b3e13', '24a505e1ad056ff9', '41260f3b4a9ce069', '026392b9abf82eb3', '83aea888bc500502', '64cc6af0c7229fb1', '7dc6d699abce873e', '7c8c185289523ea9', '568ae0add45d8ede', 'a57b68e727904b76', 'da3a7d1f910a33c0', '0c123644d205edbc', 'e7ec28035f8bde77']; context = [[22, 104], [104, 155], [75, 162], [29, 92], [52, 120], [39, 99], [74, 137], [5, 77], [37, 113], [15, 77], [76, 140], [1, 66], [172, 240], [202, 261], [23, 88], [120, 179]]; loss = 0.010253 low_pass_filter = 0.300
+Epoch 0: | | 38579/? [7:17:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 38580; scene = ['74d65792ca14e978', '12e7764d11953827', '6994285e81ff9803', '52b984bea1f78ad6', '37fc78ec8f502ca8', 'ac5159b7b9d8ab53', 'd7ea3145a7a8262b', '3d5b0940a28bb67d', 'ec34f19ec97cd536', '06d29a52b4aebfbe', '04635aa0ab8b1be7', 'f9ba6c7965a9d01b', 'db7a639eb376d2bf', 'a8f03ba94fba80b7', '4994f79523443d28', '3f771cd05baf3191']; context = [[26, 88], [5, 73], [204, 276], [2, 52], [3, 84], [195, 245], [27, 105], [0, 78], [219, 266], [212, 264], [18, 69], [84, 156], [54, 133], [183, 230], [6, 60], [11, 78]]; loss = 0.013704 low_pass_filter = 0.300
+Epoch 0: | | 38589/? [7:17:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 38590; scene = ['f7dbc855fd2a7669', 'a328bb24ae1259b7', 'cb9ae86a49f95f34', 'fbcfae0d07f3840d', 'fd92fb298b944a09', 'e7129afa3f20fb38', '6f349cede66a597e', '48f502df70db50e1', 'a5175255a7a24781', '937835bf008447ae', '9e739ec1a8c7aece', 'ffb0ecd62200e136', 'dad145ce35ad0e54', '21268abbbc575fc9', '7e1f1f018b3493cf', '57fadd61d10ba765']; context = [[150, 211], [2, 59], [2, 77], [15, 104], [4, 80], [74, 155], [12, 65], [129, 200], [3, 56], [4, 50], [9, 67], [16, 82], [192, 273], [2, 66], [9, 64], [61, 127]]; loss = 0.009862 low_pass_filter = 0.300
+Epoch 0: | | 38599/? [7:17:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 38600; scene = ['c10a042037a5a120', '0016d89da2d78196', 'db9bc0ff275d4fbb', '4308154957c1ef63', '3a3123960a5b3070', '314588c4ee5d31ac', 'fb9c7ba5d2ee795f', '1fe53207ba36202a', '7016fc88f085f2bd', '2b51afd20f93fbb3', '50ebba7498d9b389', '4a36de0119c93c8d', '2422896efc729d12', 'bc38d6696f19b9f5', '2cedb207ea3ce853', 'f4c2db072efcdcd5']; context = [[0, 77], [22, 80], [51, 122], [2, 55], [108, 163], [148, 230], [215, 271], [31, 103], [29, 107], [15, 99], [2, 85], [4, 93], [13, 63], [55, 138], [86, 166], [5, 65]]; loss = 0.010356 low_pass_filter = 0.300
+Epoch 0: | | 38609/? [7:17:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38610; scene = ['605455dc5f1561a3', '807743b71b28c82d', '42dea626cd0ca095', 'fa7f56093254350e', '40db90425440c8f1', 'be3bf9362857bffe', '433f5fa510755d52', 'e814b7a50ef25565', '87ffa8d57c4da273', '56341c49ed4564be', 'ba7783d6a7fcb47a', 'bae81f88d95d39cc', 'c7382b0e60e415db', '3fbcb0eef93e818f', '3061dd6569af7ef4', '0744c33d52be47ea']; context = [[0, 78], [6, 62], [27, 73], [126, 186], [11, 88], [86, 137], [35, 115], [8, 70], [2, 68], [2, 50], [2, 87], [32, 87], [27, 79], [44, 101], [197, 263], [34, 94]]; loss = 0.016471 low_pass_filter = 0.300
+Epoch 0: | | 38619/? [7:17:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38620; scene = ['2646d83461154ec3', '225ec5b5ad4348ee', '153eaa9736e1ca70', '67e22aa65b4f6788', '0bedd8283e10dbe5', '072767a69a49c614', '423f10ac7cd3488d', '5ce7ff2707b0c558', '5b6d2302ce6b01fe', 'e95581a829bf8d7a', '17dbc5c57640cd6e', 'e1b54662af9ed7a8', '0635a3619c622723', '165bd1ee2bde617c', '135cc677e20df588', '873e47aefa88e8cc']; context = [[2, 51], [14, 60], [5, 76], [13, 67], [21, 93], [25, 105], [8, 63], [20, 87], [4, 51], [2, 55], [0, 45], [90, 140], [11, 81], [45, 124], [10, 84], [12, 69]]; loss = 0.009560 low_pass_filter = 0.300
+Epoch 0: | | 38629/? [7:17:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 38630; scene = ['a606b81c87abf278', '44f6e9771c1d32c4', 'd247d34d7515d1cc', 'daf44b5f84ad4509', '89eebf1d7befa3d8', '56ad056b9b6bf22d', 'b2b7ba2a00b3c623', '7d454aa1c9674e38', '922a0e455b8fc98e', 'a42750e1e0a3c9ca', '90394a4c6c156fed', 'bb5ac676de37d914', '940334dc257b987d', '2c0ba42bfa8fbc37', '4259a1201cffe536', '369b2f3131355338']; context = [[58, 115], [60, 112], [11, 60], [1, 63], [11, 95], [186, 249], [20, 68], [14, 101], [5, 84], [82, 151], [75, 150], [65, 133], [5, 73], [84, 165], [124, 213], [9, 85]]; loss = 0.008999 low_pass_filter = 0.300
+Epoch 0: | | 38639/? [7:17:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 38640; scene = ['4281c9c2d1655e67', '786d4e8a8c162c2c', '893335afc78c8685', 'de665a63685bdac5', '230dcd170cc900ae', '0777febffe7c2d96', 'e3bca018a714db69', '817e228e9c74d745', 'bcf299393ee2171b', '90d70bc4c159efe2', '918bd53dd8ca7271', 'f7c3b63d80925cd4', '794a82e0519160c4', '43e6289d0f0921a5', '035cd2c68a13badb', 'e0da837e447b83f9']; context = [[42, 91], [41, 108], [2, 51], [116, 203], [142, 229], [72, 121], [64, 133], [7, 53], [182, 237], [0, 64], [2, 79], [19, 80], [1, 54], [13, 69], [5, 95], [27, 114]]; loss = 0.012343 low_pass_filter = 0.300
+Epoch 0: | | 38649/? [7:17:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 38650; scene = ['67bbca5ca2b592f3', '6aaa7af7f3dee05d', '72fe17fddf456267', '117d63f349b7f003', '7a3631bffade5208', 'ffdcee7874d392e6', '44abee0bfc90b727', 'eaa05e17022ae6a4', 'e3f5ec15ba54a781', '70f1460f310d6d19', '18089952e3a38f64', '256ad978b0adf10a', '4f584c95a2be7130', '6cf2b121b6eab09e', '8ec88b1dcf6d4c3d', '2d8b785151360d84']; context = [[11, 69], [35, 123], [47, 137], [24, 69], [50, 110], [2, 60], [18, 67], [46, 113], [30, 85], [21, 71], [177, 234], [0, 68], [164, 219], [1, 61], [8, 84], [8, 82]]; loss = 0.009337 low_pass_filter = 0.300
+Epoch 0: | | 38659/? [7:18:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 38660; scene = ['68530d6f86185a8c', 'b1d7993d7dd6af3d', '8dad104fd0058819', '873b6566b29196f3', 'e2780aeff94be39d', 'de2118e0b2974196', '8d050a45c7deba1b', '0d67b5add85d8684', '118d4b84db5dbeed', '185019797e58d521', '900522b1f171d2ad', 'fe90475a8c70802c', '216132a3ee19edef', '764c6a2e15e46440', 'c773a533e1a0fbbd', '0f18776cffbe3802']; context = [[35, 82], [0, 51], [92, 161], [2, 53], [76, 148], [20, 75], [1, 68], [9, 54], [56, 105], [47, 100], [54, 124], [42, 91], [52, 102], [3, 79], [4, 74], [94, 139]]; loss = 0.011219 low_pass_filter = 0.300
+Epoch 0: | | 38669/? [7:18:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 38670; scene = ['6e6f37de00e1e71c', '09a9318f816e9e94', '7494321c3072dee2', '45c4835dc9aa75d7', 'f87ce92888e66e81', '53bfc2d4fcbda5b4', '02d71d6b56b6820b', '8734c4ed51cd8e4a', 'd8b33393fd79bf04', 'e4768398f07dde24', '9adbddc46e878d03', '5df06dbaf3a4730a', 'f42f16681789b5b9', 'bdf0bfb2f2c6c21f', '202edd3a4f885db8', 'bffecb5bc5547b20']; context = [[40, 93], [193, 271], [13, 91], [9, 68], [43, 96], [14, 69], [5, 58], [37, 107], [113, 191], [68, 122], [96, 170], [58, 105], [2, 64], [0, 48], [21, 100], [162, 226]]; loss = 0.010526 low_pass_filter = 0.300
+Epoch 0: | | 38679/? [7:18:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 38680; scene = ['bb8acf263524a1dc', '415c859644b04b77', 'c784257ad6d70434', '7802eeae321b649b', '5bf246ae755db358', '70a6e0c50b932926', '599ee2707ffe86d8', '0d9b2d55b1a56943', '6a06b29373391c2a', '963b4755148b46f0', 'af273a69275eafe8', 'a142901b8a2421ed', 'e228a6735eb00c28', '5376bb67b77e8b59', '57b5268c98e7308f', '2004d220029debe9']; context = [[45, 97], [6, 57], [18, 99], [2, 91], [27, 90], [35, 84], [16, 63], [15, 101], [88, 176], [68, 143], [94, 165], [154, 217], [8, 74], [3, 51], [60, 130], [11, 93]]; loss = 0.012981 low_pass_filter = 0.300
+Epoch 0: | | 38689/? [7:18:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 38690; scene = ['fcc7db4ad1f2444f', '6ad946dc7c7a5ae7', '8ec32dd001a2b529', '9dace42deebd482f', 'afbf21db765f449f', 'cc0f96cc71a6dd66', '129aa9e63c248582', 'eb864005eb96e04e', '589eca489876d5ce', '96489fd56f875313', '93e3445216c30ff7', 'a84949b9712997ea', '54e1d8770bd097c4', '68e44802abfd01de', 'fea44120298bded7', '74598395cd311540']; context = [[17, 103], [80, 169], [3, 83], [131, 187], [0, 51], [1, 62], [40, 102], [46, 127], [6, 67], [17, 76], [40, 89], [6, 77], [10, 96], [0, 52], [18, 80], [1, 69]]; loss = 0.012016 low_pass_filter = 0.300
+Epoch 0: | | 38699/? [7:18:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 38700; scene = ['4ef6df5a3d7e59af', '7004f37d3a6cf559', '963ffe1f417614c8', 'bca478c2af68d48a', 'a2169d8a42eab0f2', '31828fd2f1e02290', '537ede808cf89571', 'db5bb3e9a305aad3', '04d4ff903a298bcc', '2be5bcc2bfc63d6f', '46cb2ccc95cb0127', '84ce87d555660026', 'c2862c7706ba87ec', '055770d0ed121f92', '26426b411d79a491', '52e4cfe9525c5183']; context = [[5, 70], [32, 96], [74, 139], [71, 121], [202, 265], [32, 106], [9, 54], [130, 194], [40, 121], [60, 148], [58, 125], [63, 110], [104, 161], [9, 63], [2, 48], [86, 158]]; loss = 0.012683 low_pass_filter = 0.300
+Epoch 0: | | 38709/? [7:18:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 38710; scene = ['d78cce7a4c0b9400', '66ca2e899ae0b7fa', '55ac66369fc98064', 'a33114a79197c262', 'ab23d838a90992f1', '4686d80203cd7b26', 'd5df805b0d2fd87e', '03f786b8eb33e189', '040bfec885ae8841', 'e1a001cc971f9549', '4970e1f83ae82834', '8700feb8f22f9e14', 'f4f4b50a47089b2e', 'd9031a7327efd918', '646e639101301454', 'b059d8af02000549']; context = [[64, 126], [75, 122], [118, 204], [0, 67], [4, 65], [5, 52], [13, 79], [16, 90], [4, 84], [76, 126], [31, 109], [83, 138], [36, 110], [80, 141], [74, 133], [185, 275]]; loss = 0.011010 low_pass_filter = 0.300
+Epoch 0: | | 38719/? [7:18:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38720; scene = ['361d4496a097d956', '093a6f282f63c9f5', '9acd800d5859f181', 'b339086354afb73c', '2ff6d06aad464d0e', '4b0f79a85d644b2a', 'f3fa1b0410bbc27d', 'd4a43140ef5899fd', '99288147cbb3179f', '6b80686260e18b3c', '22c21bc532c93ede', '8f4562de3344b971', '11ac1c29846c8b02', '8e9215441317a670', '1d6990e569725b6e', 'accbf67c9f56fdd8']; context = [[6, 52], [7, 73], [2, 92], [54, 104], [29, 80], [7, 83], [20, 71], [55, 116], [11, 62], [58, 137], [1, 76], [57, 109], [14, 90], [2, 88], [2, 86], [6, 80]]; loss = 0.010851 low_pass_filter = 0.300
+Epoch 0: | | 38729/? [7:18:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 38730; scene = ['1e5cab40fc44df73', '6b7c14e23b21140b', 'f9ce09ac3523fff3', '5449ea452c7e322d', 'b3685a3f8935befb', 'ca0bbc80b5844b52', '16fa6c2a59103bcb', '811edab8b5afc0d2', 'e84e95938d3c87c7', '8e119e7bbc8f86cf', '032414a2811e3530', '670c5094bc0b1e7e', '8ef6b6c6c432d6ee', 'cb7c62276cf4c7b9', '4bb7bdad7604472b', '56d524bdd9fc0e0a']; context = [[6, 87], [93, 162], [4, 93], [143, 199], [46, 122], [12, 57], [6, 68], [7, 61], [5, 71], [90, 148], [0, 68], [18, 63], [7, 92], [103, 152], [5, 63], [53, 136]]; loss = 0.009823 low_pass_filter = 0.300
+Epoch 0: | | 38739/? [7:18:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 38740; scene = ['83e89ce8743d173f', '3d28451476ab9d9b', 'f2924272cc84b16d', 'c815c32d584db109', 'ce6642a1caf5f72a', '9f02bee6ee218516', '7cd557781282258b', 'af418ffab959eb5c', 'ae04205e9b82fb72', '0df0d2b8a2951f0a', 'c9408e8e90811892', 'aa0ed758dda2cd7d', 'c5e6f314de1b56f5', 'e12f36a5b5264daf', '5258d714dbd81b7a', '5979f56b953ff1cc']; context = [[28, 95], [19, 100], [72, 120], [91, 142], [36, 120], [17, 81], [10, 94], [127, 209], [90, 173], [0, 63], [1, 48], [163, 208], [28, 108], [2, 63], [5, 63], [5, 93]]; loss = 0.009673 low_pass_filter = 0.300
+Epoch 0: | | 38749/? [7:19:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 38750; scene = ['cf25e28fc66b11bf', 'ef4ae395daf99f1c', '357bf45f08163f58', 'c002e62e4fadef21', '0ae16be3e6d6b471', 'b77359fd7f8f3666', '258a6cd6f9351454', '9d9bde4f139c0655', '5f9b7e862d984558', 'a0ec91ac8cb3e9c1', 'b6bc3316b07d412d', '2d52b9450f899b47', 'f61c95386152c60a', 'b7d82c5309a92af1', '35bc2aaf03f2a1a5', '4d412ba977218397']; context = [[27, 87], [40, 109], [22, 76], [4, 52], [12, 80], [12, 80], [45, 126], [1, 55], [98, 182], [3, 90], [8, 77], [66, 137], [2, 53], [20, 94], [1, 76], [60, 150]]; loss = 0.013082 low_pass_filter = 0.300
+Epoch 0: | | 38759/? [7:19:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 38760; scene = ['623fb00c73da97a1', '540c39c82ee55c99', '71678161fc3a515c', 'c50bf41a6ae14f25', '8ecf1e4e58a9553d', 'b43104adbdf3b1a0', 'ce39744fa5a6e73d', '46a16b80d7b725c1', '225ee824e3d5dc51', '5d1517dad9f9fbb6', '7341e63a7c77334f', 'bd15cdb6544e4b4f', 'a1a44fdd4720ce4c', '6223a7a4c451dfac', '9df293d4cff7a027', '9b83f1a3f85059e8']; context = [[194, 253], [26, 78], [141, 205], [0, 57], [17, 64], [103, 175], [16, 61], [12, 57], [1, 68], [2, 54], [12, 76], [5, 68], [1, 64], [78, 134], [81, 136], [7, 90]]; loss = 0.011921 low_pass_filter = 0.300
+Epoch 0: | | 38769/? [7:19:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38770; scene = ['13bd90e16804d6e6', 'bfbd2a2b0620ab6d', 'd49962f1ce9ffe77', '066e2f4b5fe48b5e', 'f3d1d0c917096e36', '8ff3b15727d6fa7f', '9e5b0c23b2b7ce1c', '304af614678c4fc8', '7fd24508f66f31d4', '827f9147cd39f3e2', 'baafaa0a9cddbbb4', 'cb37fdfe60a60681', '70f18731a05c3d3a', '5892be62d259a06c', '43132efce70bfb06', 'ea248182d2b0fbec']; context = [[37, 111], [21, 68], [21, 70], [0, 45], [121, 182], [42, 89], [0, 68], [12, 58], [104, 180], [12, 99], [7, 64], [31, 118], [6, 79], [7, 59], [3, 89], [83, 160]]; loss = 0.009479 low_pass_filter = 0.300
+Epoch 0: | | 38779/? [7:19:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 38780; scene = ['cd5d12eb760f6c25', '855f360a6975676d', 'ecbd583dbf8f0b2c', 'b5e2fc1757ca5400', '262491e354ac8385', 'bf0d03380474d38a', '9cc91556f912bcc6', '097b23d5ae2aa4de', 'd33be1bdf678f485', '6c450e26a09407a4', 'a10052fb69f15ffc', '3f30aa84e7305602', '47b3e5d4b3b534e5', 'fb0040c94bea2a4d', '09a0b9fe4c9b0691', 'c6cb7394690cc9e0']; context = [[14, 103], [9, 83], [29, 80], [102, 180], [2, 74], [26, 99], [7, 71], [7, 61], [0, 66], [115, 182], [3, 66], [92, 159], [83, 135], [136, 185], [3, 68], [0, 51]]; loss = 0.009115 low_pass_filter = 0.300
+Epoch 0: | | 38789/? [7:19:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 38790; scene = ['46cfbabfa0d5bf6c', 'ff7738e2e61b4665', '6a431d61b0a82cd6', 'ddb51cdef2541928', '7bc7fdbcf2d99f74', '068ad646d3fa5ade', '0002b126b0a8a685', 'ee78647843511a4c', '9fa1697870cd2212', '6d59697bc66e7dab', '4436c876ccee946a', '8d3bba01b2043d82', '453c8b8188182228', '005c440a72e93b03', 'd2effa96cf9396c9', 'e3e872cb421fb27b']; context = [[21, 95], [80, 141], [119, 205], [50, 115], [7, 86], [26, 107], [6, 57], [0, 68], [134, 189], [0, 59], [48, 96], [75, 127], [9, 89], [26, 93], [80, 161], [5, 74]]; loss = 0.010326 low_pass_filter = 0.300
+Epoch 0: | | 38799/? [7:19:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 38800; scene = ['491b6e80ec6e3f6f', '57ab998454402e4b', '8d1c21696859cfa4', '46b6815db9c390d6', 'f16e17b3760c6621', '57f08b58536b695d', 'ed8d1829b15314e6', '0cdc6eed0cdf0614', '3dd491fd2c03c32a', '7948506f5ce08ebc', 'c620b4af45dc7445', '9d111016abf7bbe3', '38f5451d38a45659', '9521339418d61c69', '775c972bba0d00fd', '4ed5567da37496b3']; context = [[65, 120], [140, 217], [11, 67], [3, 59], [24, 92], [2, 56], [77, 149], [71, 125], [75, 154], [0, 45], [2, 54], [28, 74], [34, 94], [96, 170], [33, 79], [85, 147]]; loss = 0.010692 low_pass_filter = 0.300
+Epoch 0: | | 38809/? [7:19:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 38810; scene = ['d2b88190a4874f43', '03a346966d45a7f8', 'd882246c1d9a46cd', 'd684317edf11ae29', 'dad1cefd696020b9', 'dcdc4b3354df0b67', '0e07cc5fd39081f0', '4c9341365e9610e7', 'ea52b783452118d3', 'a96263b1bc7ab549', 'a1ff20ce7d7d5e11', 'ff7181eb38589239', '9a7654a56ef3ba60', '2a2e2b0f851203fb', 'c146e1944b766179', 'b1b6fbaa3941c293']; context = [[2, 62], [46, 136], [38, 125], [1, 48], [65, 134], [4, 74], [84, 166], [132, 206], [34, 112], [56, 143], [39, 95], [68, 151], [0, 61], [83, 145], [18, 97], [9, 92]]; loss = 0.011817 low_pass_filter = 0.300
+Epoch 0: | | 38819/? [7:19:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 38820; scene = ['011bd92a275177b8', 'dc6e93dd0db2bbd1', '7d2b24a013e2fe6c', '5ef8bd0e10b08506', '2de7f58f5e033b42', '90b7a1054476cbe1', '3c2e4c90398b4576', '8c6d47f3c5e452d1', 'a6f8fd517ff5fe42', '640c27b117876bef', '7ca371bda254ed80', 'c8dcc958da71336e', '5b458ab008fafb80', 'eab8866b4c520101', '589132cb58573057', '7554edcbb2a0f82d']; context = [[129, 205], [38, 123], [0, 56], [0, 71], [2, 48], [0, 60], [95, 185], [0, 69], [100, 156], [4, 63], [67, 114], [4, 65], [4, 82], [4, 72], [4, 94], [12, 57]]; loss = 0.010481 low_pass_filter = 0.300
+Epoch 0: | | 38829/? [7:19:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 38830; scene = ['03f4b73ed1e0f241', 'd13c362445b63818', '28b4e59156fd7191', '47cb248959be863f', '259d9eed4743a039', '2182f82243b1b557', '5eadfa9632f7fa08', '41afb234315af11b', '4d01b641965bcba9', '39441c33a49aa7cd', '1ff9a4a3b6e51631', 'ed20c9d05a33bdc2', '7d0d149eccb8b61f', 'f9b2b6c5e82c3a81', '2fc39ef41d033bbd', 'bcda7c077a13079c']; context = [[4, 63], [5, 82], [3, 50], [24, 107], [67, 126], [89, 148], [55, 113], [8, 76], [3, 65], [169, 228], [19, 76], [72, 123], [113, 190], [5, 83], [54, 143], [0, 86]]; loss = 0.010510 low_pass_filter = 0.300
+Epoch 0: | | 38839/? [7:20:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 38840; scene = ['de764d0866fd6579', '784a7e6869056799', '16b4e82873823f23', '6e5b881edbc8853a', 'fd9bbfa2cdf4f527', '9b48f28a886221dc', '834119d6d119fe85', '99da52a87a6a0867', '152ec9bbbb4d13d2', 'd50b81adaf488575', '3ffaf1e704427fc8', 'fa37e761f75ecafb', '0c94fa11e0e29a57', '4380710fe040e93e', 'f9cc7615589b58bb', 'bdee71538603b0e3']; context = [[32, 97], [0, 59], [30, 105], [13, 69], [20, 104], [10, 89], [35, 105], [0, 47], [4, 68], [11, 84], [12, 88], [50, 117], [72, 122], [87, 134], [2, 70], [27, 80]]; loss = 0.010001 low_pass_filter = 0.300
+Epoch 0: | | 38849/? [7:20:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 38850; scene = ['6d889e6ed99825ea', '1a846462d45d4654', '174aca67c95ef4fd', '295801c148aaa848', 'b34a3688cebac757', 'd010e0e97adae589', '5e1d6b188223a8e1', '86fa33e82678f2b4', 'd6d3de14a1fa2146', '90470d90591e24b4', '3e7a048c43b4801f', '288ca6ac9cd80107', '3e7830b3da1ac210', '8a18426268680e8b', '43cc177db8b56bc2', '859bb0d976d968c4']; context = [[63, 120], [90, 141], [11, 90], [1, 61], [37, 114], [19, 98], [17, 82], [11, 86], [65, 112], [83, 133], [34, 118], [19, 73], [15, 90], [157, 246], [40, 122], [30, 82]]; loss = 0.012739 low_pass_filter = 0.300
+Epoch 0: | | 38859/? [7:20:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 38860; scene = ['a97e62912a006d59', '982d31117b3d890d', 'bfeeb22f7c5b88f8', 'e44fa4f35c34ade1', '1a20aac3a317d67e', '41986a305a19ca1d', '4705db5f75ab548e', 'ed6c9a5913622c3d', '9beaef3924b260b5', '0a3c5ae29bf2cb59', '62560eba3ba6f77a', '231964ce719fed4c', '7948506f5ce08ebc', '95ad20e7e706f231', 'c620b4af45dc7445', '0cdc6eed0cdf0614']; context = [[0, 47], [0, 48], [0, 45], [55, 127], [2, 57], [165, 224], [90, 144], [12, 72], [11, 99], [42, 122], [16, 68], [12, 65], [0, 45], [101, 159], [4, 52], [27, 114]]; loss = 0.010644 low_pass_filter = 0.300
+Epoch 0: | | 38869/? [7:20:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 38870; scene = ['54ba12e94df7b0b3', 'cbe1f253bdd11625', 'aeddde26e41705e6', '643691861a5043d1', 'e227d56dd6f178c7', 'dcb8ad3a1428b56b', '0b4070d37e896388', '9808ade599ce3b8e', 'cdea215558754e76', '6fab51a37edb7739', '66530b646b00a9d7', 'cc375304e2e198e9', '4cd18aa0eddf1c14', 'e9aeda15b7117ce1', '936f328f3383e093', '71a56f5379e2f975']; context = [[23, 110], [5, 82], [26, 85], [154, 238], [90, 150], [15, 71], [5, 78], [3, 51], [147, 197], [29, 97], [6, 66], [152, 213], [1, 48], [58, 110], [11, 92], [7, 96]]; loss = 0.010232 low_pass_filter = 0.300
+Epoch 0: | | 38879/? [7:20:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 38880; scene = ['a640a55439a43108', '39537fd202eb32b3', '0533d23dfb17f17b', '789a1573a8a7f5a8', '190dc10200a1049e', '66a324d8c0a8b80c', '077a814db8619777', '4198c7129a726cf5', '2da17464ef895b63', '513aa200a2b07a1e', '414730ed5c31b509', '246fed0a9b054ee5', 'ca1e4b3a2e0ecc01', '2a70bb9827ef6e47', '9f958ce8b5994f1d', '71aaf67494c15541']; context = [[39, 108], [32, 100], [19, 96], [18, 103], [37, 90], [30, 82], [10, 81], [17, 83], [5, 68], [25, 82], [35, 113], [125, 192], [66, 125], [91, 154], [12, 58], [21, 94]]; loss = 0.010323 low_pass_filter = 0.300
+Epoch 0: | | 38889/? [7:20:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 38890; scene = ['4c86dd7941950d46', '4fc949359dd32d33', '9645f69ae0681927', '2c9f90a258615478', '52d73f2b4a57e0b5', '7f08ab811c931e53', '3b0bd4a9c0b8b63a', '4ac625439e8fd4fa', 'c9e3c2ac3353dbe2', '040dc3f1487e4d7d', '824bd75a1f047775', 'c59db35862c825ed', '55077c16bb911561', '5fb3bf2facd499a8', 'e34447ddccfc88ff', 'ff189499a6ed28d7']; context = [[43, 90], [0, 46], [13, 67], [1, 60], [10, 90], [0, 57], [20, 88], [129, 189], [8, 96], [3, 60], [38, 110], [13, 70], [64, 145], [4, 58], [162, 229], [6, 55]]; loss = 0.010378 low_pass_filter = 0.300
+Epoch 0: | | 38899/? [7:20:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 38900; scene = ['e4563a7b1b2d1fc8', 'b952915e6460baf5', '8a543bf958e48dea', 'afc302429757e7af', 'afe7352745af8df5', 'ff2bd6b594638b0e', '4ac72b0e9795380c', 'cdbb5456c4a6c130', 'c3a695650753db89', '082df11768924c7e', '553c15ccd8a7c665', 'a3e389b0c33b31cb', '1ec4e8dc19eebef7', '29abe79174e04768', 'e5056d1efbf95610', 'b5e452fd635696a5']; context = [[29, 90], [38, 113], [180, 259], [82, 150], [2, 61], [40, 120], [25, 105], [16, 84], [23, 112], [99, 168], [13, 73], [5, 77], [14, 94], [175, 241], [178, 235], [0, 83]]; loss = 0.011226 low_pass_filter = 0.300
+Epoch 0: | | 38909/? [7:20:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 38910; scene = ['596cd047a1dfd450', 'd882246c1d9a46cd', '3b8a0737368f9f1c', '8c035759dce975d6', 'b4d99586fe24950f', '0c16bfd1cc432c9c', 'ed67e326199a5cae', 'd78f25c6b105edd3', 'b8974ce42f6d52bc', '8b2d76f9df651fc6', 'ef461087323ae170', 'f1c1bb1ee6d4c97d', '322426f484cbd0ce', 'd402be368f70797b', '5a57c8e5a5252c3c', '5de8190e37e23459']; context = [[1, 79], [1, 73], [1, 52], [67, 148], [38, 85], [2, 88], [11, 56], [4, 71], [80, 131], [1, 74], [12, 66], [3, 72], [1, 48], [152, 213], [35, 82], [109, 164]]; loss = 0.010768 low_pass_filter = 0.300
+Epoch 0: | | 38919/? [7:20:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 38920; scene = ['1e6a94b49a5755ae', '13139e97ae7bd6db', '7357221d2b544d6d', '0a33e2c93db81d0d', '48210c911ec4b8a1', 'dd357f25857c3f2d', 'e8d513561d262165', 'a3c7fde6913f3129', '9ed9d087eb810705', '6bec285608bb9251', 'e2f021e332b4e15c', '1e1d3ee71e56989e', '5cdedaf7a73ab3e4', 'a393aaee7481300b', '52280a3b86bfa933', '0fc56ec486ae977a']; context = [[2, 86], [8, 97], [22, 67], [35, 92], [25, 102], [78, 157], [2, 50], [21, 103], [50, 119], [1, 73], [17, 81], [16, 98], [16, 106], [13, 59], [130, 183], [50, 118]]; loss = 0.009002 low_pass_filter = 0.300
+Epoch 0: | | 38929/? [7:21:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 38930; scene = ['5d7eb2a9c30e0fcc', '786db6f690f1fe8c', 'afcac5c329658e0a', '429ee67552fb4347', 'bb7a87ed35bb7c08', '0d3777b8fff2c21f', 'e858dddbc938ec13', '2ec142057d100f69', 'c85026f5f8536d63', 'd8c2f0a3734cb493', 'bf144eafc10b8f0a', '274367d890191087', '0f25e8119ebd2b9e', 'fe5e06cd40924c05', '9e87fa7dc61df709', 'f3a27b723953dabb']; context = [[28, 83], [137, 186], [26, 80], [89, 156], [118, 175], [92, 163], [0, 87], [0, 57], [23, 84], [12, 57], [30, 76], [11, 86], [47, 93], [5, 50], [48, 111], [57, 109]]; loss = 0.010371 low_pass_filter = 0.300
+Epoch 0: | | 38939/? [7:21:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 38940; scene = ['f30c1287b499b59f', '4de68fe45f2cf8da', '0653c0585c65ef9b', '6b643ea7fd9a47f2', 'b19972ab772a18f4', 'afcf166d35c344b9', '508deca74f1d1a90', '6d0cb1621ef51ae4', '99ed4006744a905e', '56fc60d176215c71', 'b23e9b8c836e1712', 'e3dcde521e8154be', '3e981b41e4993058', '681d0a62e1ab6d4c', '38f9d68b29cf4f1e', '9f08547662d50ca7']; context = [[65, 147], [177, 241], [36, 83], [11, 99], [13, 93], [7, 75], [0, 64], [0, 48], [17, 96], [64, 140], [104, 188], [8, 66], [32, 80], [31, 99], [197, 270], [9, 65]]; loss = 0.009629 low_pass_filter = 0.300
+Epoch 0: | | 38949/? [7:21:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 38950; scene = ['75cb938ef32ffdbf', '0d401f1b0cb3d6d0', 'aef946964881b3aa', '5d2c51639483b85d', '6c0e4126b5d4e92f', '8a5ef9fcbbbd0715', 'b963ab9d26b8da09', 'e72d26f6d354ec4d', '6e6fcfeacf855c0a', '344c830b21870a79', '7a75e735a35dad9d', '7a336718fb127af6', '16fccc4a79f5d064', '80cd3bcbc1be5c9f', '53c0505255ce7322', '721e2ff6feff2137']; context = [[5, 92], [122, 208], [7, 81], [8, 54], [27, 97], [165, 238], [40, 86], [8, 53], [194, 264], [1, 61], [36, 109], [0, 77], [3, 88], [24, 77], [58, 128], [186, 261]]; loss = 0.009103 low_pass_filter = 0.300
+Epoch 0: | | 38959/? [7:21:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 38960; scene = ['6d889e6ed99825ea', '1a846462d45d4654', '5e1d6b188223a8e1', 'ac006fdd32e9cf90', 'a0bd9b96e72653d0', '6c0c16bc3341f05d', '54792c35c05cd7f5', '9834366fe2054a74', 'cba6ce0b8af1e2f9', 'f104e30541a188d9', 'e4a773aa8bcdeb64', '0f66d4da2e5fb807', 'dd75e9c994612497', 'f7bc3b34000a7cf4', '5f1f5568fd74bf20', '405ddee5929128c1']; context = [[42, 89], [43, 118], [17, 80], [97, 171], [29, 114], [0, 65], [4, 55], [9, 75], [12, 73], [4, 83], [20, 100], [30, 81], [15, 97], [20, 72], [44, 110], [48, 121]]; loss = 0.010990 low_pass_filter = 0.300
+Epoch 0: | | 38969/? [7:21:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 38970; scene = ['f661fd9e62653225', '338a1e8f27cd7f45', 'e0a3c0023e6ad8f8', '49a8af003cd5aebe', '76ad9054e25f6e8b', '35989b45a058ee3e', '1af9d0a563d8fc8a', 'f6f1e811cb5d0979', '082026c0ca8b7289', '1cc8b0d46380da7f', '4733062e2c9faded', 'f54e5487d10e1dad', '78920ff5c84458f3', '7f5cbcc7be9976d2', '0abad9c3a40f487c', '534668c48bbdb6b8']; context = [[4, 67], [101, 168], [36, 82], [67, 119], [2, 55], [32, 119], [182, 233], [1, 67], [6, 66], [35, 106], [68, 113], [17, 72], [0, 45], [7, 61], [162, 216], [5, 50]]; loss = 0.009082 low_pass_filter = 0.300
+Epoch 0: | | 38979/? [7:21:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 38980; scene = ['a3620e34e8895263', '6c2280965b2c589b', 'ac0adf351c198028', 'be0c13a1287e01dc', '746c9c4988c58d15', '844291f011c40bc4', '2c1c34804bd85520', '84826a7eacde5724', '8bb208b737aa4c51', 'ea5d068f5a9e8a37', '06f2bb925daa11d9', 'fcb923af000d2de7', '0b84a4e9b6f93502', 'fede05c657df0a63', 'b115f950488e134b', 'd976550245197d78']; context = [[57, 114], [9, 59], [80, 161], [48, 98], [89, 145], [30, 84], [8, 56], [2, 58], [8, 65], [2, 89], [157, 205], [65, 112], [52, 122], [6, 66], [57, 138], [13, 62]]; loss = 0.009933 low_pass_filter = 0.300
+Epoch 0: | | 38989/? [7:21:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 38990; scene = ['3620a7e99b83f48f', 'fbb1981f595c47f3', '474449a5d3172644', '2f4670e943868545', '03928badde49b7b6', '0cf4667328f5b6d1', '76d99fe5793755ad', '0dec435cb47386ac', '8e275c7036a72750', 'e1c4289c6eda3545', 'eb971dec77a65942', 'f417a4c162176abf', 'a5f125662576269b', '2f9893144523fdd9', 'b415eb0a7def34c2', '222b51c444cfad2d']; context = [[10, 95], [106, 185], [0, 74], [1, 86], [6, 74], [142, 195], [12, 59], [3, 63], [23, 80], [3, 61], [110, 171], [33, 102], [8, 90], [41, 103], [1, 69], [7, 59]]; loss = 0.009914 low_pass_filter = 0.300
+Epoch 0: | | 38999/? [7:21:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 39000; scene = ['d27b6a8554bf761b', 'e68db198a6e60c30', 'ad724e11e9933d4d', '2eb0e6f1493eeddf', 'f950291d5785c0c8', '8c906cb39d5fdadd', '74cf3746f74cdb97', 'bc6410ac3b5cdb6e', '6430a8f5649a5764', 'cd409943c4829dc4', '83eb0c8730452588', '3943cd45cf5cd16f', 'c6aa94e1b4c7afdc', '11e957df6d221c04', 'a76c6ce5d65d203e', '0bdf1f87e7a514a4']; context = [[3, 77], [141, 187], [2, 89], [2, 49], [154, 239], [12, 97], [5, 66], [98, 144], [8, 74], [21, 73], [16, 78], [6, 52], [15, 100], [28, 117], [0, 53], [70, 120]]; loss = 0.011534 low_pass_filter = 0.300
+Epoch 0: | | 39000/? [7:21:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0validation step 39000; scene = ['7c2a1a21f98565bb']; context = [[34, 79]]
+Epoch 0: | | 39009/? [7:22:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 39010; scene = ['895780d4e6c7c26c', 'd42fc65806d78ed0', '3f14828a1957b7f0', 'c715d9484ed86f27', 'b5dd1aef60dcc6f3', '674f584b6f09a890', 'a1001a4df99e557a', '4d5b55c12c0028dd', '02bb7b7e42bf32cd', '9d682af42dd7d886', '82173fff18851e0a', 'f0fb71e87e8675d2', '8c2bbeac9417065f', 'df756e2bb1999ee7', '9012dcef99974756', '1492f66574082e1c']; context = [[16, 89], [51, 134], [8, 70], [32, 104], [75, 154], [20, 69], [16, 86], [10, 58], [10, 73], [0, 89], [40, 121], [1, 50], [6, 56], [18, 70], [11, 72], [66, 145]]; loss = 0.011180 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 39019/? [7:22:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 39020; scene = ['85b4a5fffd9dddcb', '9212687eedee9127', '8b3f5f7e9edd3d7b', '2687eeb202adae47', 'fcd85dc0996790c4', 'c2cb552464e430ab', '72cc5bfd4015cd03', '50e795080ac74ba6', 'bbacf37a3de9fe50', 'e152f1023f62baee', '88d8e90884122b24', '811030cf843d51aa', '2ac2be72df08b59f', 'e083b64b420a7c1c', 'b8099dd0779f2b1a', 'db554baaea71b956']; context = [[79, 133], [166, 216], [34, 112], [132, 179], [26, 84], [18, 75], [128, 204], [4, 61], [14, 79], [213, 271], [20, 91], [0, 49], [68, 135], [5, 66], [147, 208], [36, 81]]; loss = 0.009772 low_pass_filter = 0.300
+Epoch 0: | | 39029/? [7:22:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 39030; scene = ['9a8ca42aa257eb7d', '9e950a8db19553b9', '18302602f1a2d36d', '02f821d0a9cab154', '564f2112de1a31e6', '7c0fd9b8cbdcdbcc', 'db2911d71cd2d389', '81a468d3d0771bd4', 'bff0f6c000bc59f3', '6c57ac55cbade318', '6ede7a3926290779', '1ec41f3828e1065e', 'dd1ebbbc32276ec6', '826f1e427bcb4f78', 'abda7c79ca34c2f8', 'd78b7ca1fc737e45']; context = [[45, 94], [125, 179], [63, 111], [81, 130], [27, 102], [29, 87], [59, 122], [49, 102], [0, 84], [1, 53], [1, 70], [4, 59], [8, 95], [0, 61], [19, 65], [17, 62]]; loss = 0.008332 low_pass_filter = 0.300
+Epoch 0: | | 39039/? [7:22:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 39040; scene = ['5c38cd5335d4f67b', '9175e26c0b00dc94', '8310b90e53222e9a', '81799d5c1c752aff', '1f312a5d2b5f10d5', 'cfe1c024f2d12648', '6d7b3ffd5175ead9', '1f55935786af5bc1', '691d1622f4daf7fc', '65e26f9d3e6aec07', '6f4beedb6cd7c925', '9e3c85ea17397fab', 'b8a321a196f4847a', '54875c668498adf1', 'c906358ed16807b7', 'c837242a35ebcdd9']; context = [[10, 82], [20, 106], [150, 232], [46, 96], [0, 71], [20, 109], [6, 56], [8, 74], [108, 180], [73, 139], [2, 75], [31, 90], [16, 69], [0, 49], [51, 125], [161, 244]]; loss = 0.009802 low_pass_filter = 0.300
+Epoch 0: | | 39049/? [7:22:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 39050; scene = ['47beee9ab9369688', '69c6b147176cdf01', '87b929c2b7b88c5a', '672f1b3aa09b1c07', 'f8a6a00c4a1c381a', '4559d0f58931cb1e', '1983edb062cda07c', '75a0c4f62041e703', '4ad302dc5d512ba5', 'c14be0ac53622d17', '70878a6931910f8e', '066c3b89b421713c', '6c2112a2af8f34ca', '64d8643c793e4826', '5a02f56f8414e61b', 'd839570bb3e08409']; context = [[21, 72], [17, 92], [91, 176], [17, 68], [59, 110], [136, 220], [3, 76], [43, 131], [1, 74], [47, 126], [4, 50], [48, 124], [118, 182], [9, 83], [6, 56], [107, 153]]; loss = 0.011454 low_pass_filter = 0.300
+Epoch 0: | | 39059/? [7:22:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39060; scene = ['913bc26ba7d3afc5', '4b67e4f68e085f45', '4b3e117d4f50b167', '4ad8aa55f3b300e2', '4276394e8565d036', 'd0db77f773444638', 'e197531346c5f079', 'df4e1717577f82c1', '541d8c4da94d9047', '72af17dcf2eba0cf', '337c66222a513af2', '6792d6a4f4e87e24', '5f22fdf235746488', 'cfec50872cec53bc', '5d167006936398f2', 'b05e5158361732c9']; context = [[173, 234], [49, 114], [6, 82], [45, 108], [37, 101], [173, 233], [22, 67], [43, 132], [23, 105], [5, 64], [40, 94], [45, 105], [3, 70], [8, 57], [2, 60], [135, 214]]; loss = 0.010244 low_pass_filter = 0.300
+Epoch 0: | | 39069/? [7:22:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 39070; scene = ['14bbdd46f201f55e', 'f47bca36b81a39ed', 'd06f8cd99d46cac7', '8b92b2017c49dc3e', 'ba35191f2e1e3973', '97a3306ce9b42e4e', '34013a94143379b8', '2103796b5825f13b', 'af9be62e98b8c2de', '5843a30d98578bdb', '959d7c0bd7c04b24', 'fe9d806cb3061f25', '95abb7fcec549b2b', 'a1b823b2106e429a', 'd4066cabb16158d5', 'e8f23f5065972ddb']; context = [[8, 60], [83, 156], [45, 113], [7, 94], [1, 86], [10, 61], [40, 110], [4, 81], [4, 49], [8, 54], [14, 63], [8, 58], [5, 64], [6, 89], [36, 101], [75, 148]]; loss = 0.010195 low_pass_filter = 0.300
+Epoch 0: | | 39079/? [7:22:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 39080; scene = ['b0442470142e211b', 'e62120d353663d7b', '5873cdfb303368a8', 'a5b1d005aa7077ca', '3be149890a0c3619', 'fb4d4223204b8761', '0c9c3f99228a95dc', '6002268bbef585b0', 'cb75c5597898298f', '3c21c04d4fde1f23', 'dc8ae2b488cf21b2', '919cdfd8793036a9', '650f2bde36e97c7c', '402146a914e34bd1', '55f9c6bbcedeba49', '2e06f7b62880ccee']; context = [[48, 94], [11, 68], [38, 119], [3, 75], [1, 60], [19, 95], [4, 68], [15, 89], [6, 74], [3, 88], [10, 63], [126, 206], [87, 141], [92, 173], [3, 93], [2, 48]]; loss = 0.016052 low_pass_filter = 0.300
+Epoch 0: | | 39089/? [7:22:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 39090; scene = ['e89e89e57c1eeb38', 'bd14bd5b73524f13', '089048a2f399c492', '30df2e374bfe7b35', '592da365fcff5372', '593ae39580a10910', '55146ffd1ce3f42c', 'd35ce9fc6e18306b', '47c64eca0657a0aa', '40b1cf4bf65368dd', '5d61451abfed6bf2', 'ff9e9b8f3c6b65c8', 'b67f55fde1a5f63a', '8d430fbd83204467', 'da12d84000cf57c4', '8a6cc15410a098e9']; context = [[32, 86], [8, 90], [39, 123], [109, 178], [2, 67], [20, 92], [5, 70], [3, 50], [7, 80], [108, 165], [66, 135], [20, 107], [50, 121], [12, 66], [3, 56], [33, 105]]; loss = 0.009919 low_pass_filter = 0.300
+Epoch 0: | | 39099/? [7:23:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 39100; scene = ['ec11025697d3ed31', '52d043963e210bfc', '9f33b005f5adca9d', '6998dc98ff88bc2e', 'b316086456f17662', 'dba031677046cc7e', 'bef8e53ea788e80e', '03d9809c2ddbcece', 'f5fd4c9ccb08fa6e', '5393d8747f383c43', '3ec62fd89dfa182d', '22e2907594eb8988', 'b5ad207c172544b4', '2dc12db33c77f91e', '1c2c01a428e98033', 'ef5524c633cc7663']; context = [[7, 75], [52, 98], [21, 85], [64, 122], [8, 65], [35, 91], [47, 104], [59, 108], [43, 91], [128, 173], [1, 48], [149, 239], [22, 110], [0, 59], [10, 55], [7, 72]]; loss = 0.009236 low_pass_filter = 0.300
+Epoch 0: | | 39109/? [7:23:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39110; scene = ['3384da6d323c1626', '572a612762e1226e', '08d41c1cedeee9e0', 'd361571b6da2678f', 'df25682ce6cb73ae', 'ed71bd2e9361f16e', '2f1e8d38e1ae873c', 'a401eb9a7a7f6cf8', '6892b104de38e4be', 'aa0ff918b038d91e', '3050eeed73b3f05e', '6f33727dde219eeb', '2a11d187ac4d948b', '4227c1d0a1dd9baa', '34d0a2873fd57f89', '205114c55ab17127']; context = [[7, 67], [88, 177], [13, 78], [70, 122], [107, 183], [0, 69], [70, 138], [152, 231], [31, 113], [23, 90], [102, 180], [8, 89], [28, 86], [60, 143], [1, 91], [128, 186]]; loss = 0.010586 low_pass_filter = 0.300
+Epoch 0: | | 39119/? [7:23:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 39120; scene = ['b0d64c8ba50c5946', 'd5b62e2693108c0d', 'e4832b64e5b73784', 'a51722bd986895ba', 'a8c6d043e6dfd3a0', 'f854d7e5ce456dab', '0ba8a59b524ec188', 'b453004f4b83ddfc', 'cfc61eb87df87ae0', '034dad4d1889371e', 'c8d797f57b4dbc0c', 'be8f948f75a0a418', 'e7449658b8889d97', 'ffbbacafa10e1711', '775454bdea6893b0', 'd2bda0901d3ee82c']; context = [[12, 83], [15, 65], [23, 113], [20, 107], [4, 54], [54, 110], [0, 75], [45, 119], [54, 104], [19, 82], [7, 90], [119, 184], [108, 175], [7, 91], [1, 52], [28, 118]]; loss = 0.011832 low_pass_filter = 0.300
+Epoch 0: | | 39129/? [7:23:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 39130; scene = ['9b6ca3cfe5886688', '2287dd9710bfcbb1', '7cfeeacb5878e4aa', 'efde93e3e23df6e1', '64cabd9f327a1a99', 'cfc6396b2c66cf16', '9eb9c06f7c377ce6', '24c12e3920d415ed', 'a64b39d2648aec13', '1e793ddcca585feb', 'ae11f1d930436d1c', '61d2fa87a0e9d621', '9edf97202c87fd31', '2f028c09c83a0aeb', 'af2dd5d2c542677d', 'b8f57558cebff3dd']; context = [[99, 179], [10, 62], [2, 74], [87, 156], [20, 75], [3, 79], [87, 145], [75, 148], [99, 170], [135, 191], [26, 87], [17, 107], [1, 64], [24, 90], [2, 55], [62, 152]]; loss = 0.013473 low_pass_filter = 0.300
+Epoch 0: | | 39139/? [7:23:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 39140; scene = ['1ecdbf071c9efedf', 'a18d3ccd10fbff62', 'ed2d12be16750310', '8e2f111529c70806', '70a7c73ee0ff15cf', '644edb7b339e7204', '87c8a0082ed8ff94', '246e844f2b0c296f', 'a11168f2dbc672f5', '8ccd419c07a54f45', 'a03aac3f83c63352', '2ea9a7e763491324', 'd3d56c592a69253c', '9d74a520fb1eb89c', '71af1e40d14233f2', '219070c8f28a0fe3']; context = [[144, 227], [131, 184], [5, 77], [1, 52], [40, 101], [1, 81], [12, 86], [10, 68], [18, 93], [3, 55], [3, 51], [0, 84], [107, 192], [95, 152], [4, 67], [8, 67]]; loss = 0.013525 low_pass_filter = 0.300
+Epoch 0: | | 39149/? [7:23:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 39150; scene = ['be93db481f19ff62', '9f08547662d50ca7', '681d0a62e1ab6d4c', '0cc5b30249c3c951', 'b23e9b8c836e1712', '56fc60d176215c71', '508deca74f1d1a90', '38f9d68b29cf4f1e', '99ed4006744a905e', 'e3dcde521e8154be', '9804ca734356c5d7', '3e981b41e4993058', '7e280a93383e4827', '6d0cb1621ef51ae4', '0c127047dcf85eca', 'a72425db74ff1239']; context = [[86, 165], [18, 95], [57, 113], [93, 172], [82, 153], [43, 109], [117, 181], [42, 88], [17, 94], [8, 76], [25, 85], [1, 75], [34, 108], [1, 48], [17, 66], [3, 82]]; loss = 0.007967 low_pass_filter = 0.300
+Epoch 0: | | 39159/? [7:23:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 39160; scene = ['05519147ca499d14', 'bfe6277ea60796e9', '458cc2ea856b801e', '430dfe5186b29458', 'd8fdfde86920c2fd', 'cb8ed23005fc6250', 'c3d8dd026931f46f', '1cf67dcee73f1c6d', '9a89a85b0c92378b', '4e94ba0878d533df', '9fe9c8baf0730f30', '322d3c9979c5f6d0', 'efbf01ca01dda8f4', '887d4449540630d9', '75d9a26c318d615c', '15f55eeb49f9a158']; context = [[83, 173], [14, 64], [8, 64], [17, 87], [7, 53], [27, 107], [54, 115], [175, 256], [9, 87], [12, 76], [12, 86], [61, 140], [20, 74], [13, 82], [29, 76], [65, 133]]; loss = 0.009757 low_pass_filter = 0.300
+Epoch 0: | | 39169/? [7:23:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 39170; scene = ['9722a4675ef08f7a', 'b59fba30c46e869b', 'aa6af775f4c69693', '7c6cff8643a2c250', 'ab69710e23ffa519', '9acfad92971ff3f2', 'e05be237357b2b8b', '742b3562c7150ed5', 'c69595acf57d15b3', '57ac6eb5ba79e061', '4ae9274ddd246c72', '2538837da46e96ef', '30afa4f4c8f72dd5', '6bbf7a220517735e', 'ebc656d976991be7', '88d97afc8d56bcec']; context = [[4, 51], [53, 128], [0, 69], [32, 97], [28, 80], [1, 90], [87, 140], [66, 138], [204, 261], [16, 67], [10, 66], [110, 164], [56, 122], [10, 60], [1, 64], [148, 201]]; loss = 0.009882 low_pass_filter = 0.300
+Epoch 0: | | 39179/? [7:23:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 39180; scene = ['175a499efb67c13c', '022c8b3bf09953d5', 'd559b11e8ded5d76', '4671540a86c8b051', 'b8a0d98cf50a7f4a', 'a1ceea81e1cc2dcc', 'f91bb3b27b67a83a', '38f6b2d7b3929a61', 'adaae18b87cb04ce', '0947cd60364c7a00', '60be15a3ad83648a', '1bbbca2236ee4230', '1e39c8f4227974ff', 'a61585eb9e5cae15', '1df4c50a6d867f43', '4b5cef82fea77be2']; context = [[14, 85], [11, 65], [5, 59], [54, 108], [2, 62], [30, 110], [41, 107], [23, 71], [0, 85], [0, 50], [3, 60], [4, 80], [7, 85], [0, 85], [7, 64], [19, 64]]; loss = 0.010060 low_pass_filter = 0.300
+Epoch 0: | | 39189/? [7:24:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 39190; scene = ['169e9f69b67f340b', 'd2e9c0ed4e9085fd', '3c9947a734e8533a', '07876b8e602acc93', 'b58aa5ec8024a283', '9ef7ba4e1326192f', '17161017be67798a', 'a54ebb2a3bb631d5', '4f29af38fef0be82', '7845363c0174cfa9', '53ef6c2621d3ee8a', '576e05385333bdea', '7648e09787b5ab2d', 'fb5f6ef461418097', '25b3eb02b0915107', '68df89951fc13293']; context = [[11, 69], [66, 132], [20, 100], [63, 146], [15, 87], [0, 52], [10, 91], [13, 80], [70, 133], [1, 60], [28, 118], [31, 76], [7, 65], [40, 113], [19, 69], [11, 63]]; loss = 0.009257 low_pass_filter = 0.300
+Epoch 0: | | 39199/? [7:24:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39200; scene = ['3dcd0b8aeec5b011', '68aec1265bd68029', '87f49da9c0b54842', '82cb337cbdf0bec5', 'c8d937ad5508c955', 'f0c94e73b90ded09', 'f45c572485cfefde', 'da537cd2108e4514', '8c00e811d3144c91', 'fcf2631fb72f0cbd', '7b41774e1a45789a', '718964098658e7cd', '42b208082fce3bc2', '153817094c6086d0', '376fd1225e0dbaef', '84e6b90f0c2567d8']; context = [[157, 205], [25, 94], [24, 86], [2, 74], [64, 134], [0, 88], [23, 76], [17, 80], [12, 91], [1, 46], [1, 49], [75, 161], [60, 108], [8, 80], [179, 258], [12, 59]]; loss = 0.012263 low_pass_filter = 0.300
+Epoch 0: | | 39209/? [7:24:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39210; scene = ['ea55d305813d95ff', '4c2eae92b9b0e03b', '34b4bcac2a2e9b60', '84492f306580629c', 'f6e952caadc38b08', 'b0f1e3bdd4f69eb8', '3cc86b7a240d9487', '88dbf667504fc6d0', '0d754618c77e44f6', '4e6d33c952bfcaa4', '194a9facebe12d0b', '47a2a8b326b9f40e', '027555111a253d5b', 'f20cf4a70116d38e', 'bf07bf11839f5d12', '52eb80f0c2d7871a']; context = [[2, 47], [46, 91], [83, 139], [0, 45], [30, 86], [5, 87], [28, 117], [7, 87], [34, 121], [119, 191], [31, 101], [20, 75], [79, 130], [80, 165], [223, 273], [21, 106]]; loss = 0.011721 low_pass_filter = 0.300
+Epoch 0: | | 39219/? [7:24:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 39220; scene = ['40d8ab238f652221', 'd3b11ecdf9a56141', '826bfb24e4dcb24d', 'f5aeb9de1e33fe73', '2337d2c8ed62f62a', '04141e7311b5b776', '41bde7bd3b983de7', 'ddbdf4c03a9937a0', '9a9caef7e7a630f4', 'c95083212b45d874', '62ddc851fe442dad', '870427fbf621cb0e', '48b60cb4f6652655', '201d18b1270f0735', '482b28b373ba3c27', '1f1ecb7b9e31304b']; context = [[2, 63], [73, 124], [90, 166], [2, 59], [211, 263], [9, 65], [27, 84], [2, 50], [68, 157], [28, 84], [15, 70], [21, 106], [48, 135], [7, 93], [90, 157], [72, 140]]; loss = 0.012752 low_pass_filter = 0.300
+Epoch 0: | | 39229/? [7:24:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 39230; scene = ['849906867edac232', 'bf7605f947d3ed76', '8ad66665fc0a25a0', 'ec89cb249053a4e8', 'a0e4abe253996ea2', '9abf680c0ea74b98', '7e038ad56d73e6bd', 'b2990a11bf291fc5', '2315a5d0d144dc7e', '71f80e4a8d79031c', '87508ff0cb861f3b', '0be2e01e27a683b0', '83e89ce8743d173f', 'c2cb3f434cb54496', '4f4c4302c36cb755', 'e39973a267fed33b']; context = [[56, 114], [87, 170], [40, 107], [18, 93], [9, 70], [82, 127], [0, 53], [77, 136], [3, 70], [4, 59], [32, 111], [12, 62], [36, 105], [76, 160], [22, 101], [0, 66]]; loss = 0.009476 low_pass_filter = 0.300
+Epoch 0: | | 39239/? [7:24:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 39240; scene = ['a3a5884addc0279a', 'ef37be4851962545', '24a67da9e605b0ea', '5376cc836571e8d6', '0badcdd96a4c3fe5', 'f450f62a359bd524', 'f9792d012ef2da5f', 'a3a8f3fc21c11cad', '5116921541fb43df', 'ab78c56e9c5b6482', '210b45452952e838', 'ca87a70e313be9ae', '177e02752605973a', '67b2f1c002c84aae', '30ea75ac0d308229', 'aa0ba67f0631699e']; context = [[13, 60], [37, 106], [97, 161], [20, 102], [13, 58], [20, 95], [77, 154], [52, 136], [40, 103], [8, 70], [3, 76], [8, 88], [20, 74], [0, 57], [95, 142], [14, 94]]; loss = 0.011499 low_pass_filter = 0.300
+Epoch 0: | | 39249/? [7:24:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 39250; scene = ['c9cc84f82b5182d9', '7bc459cf2cd73e6a', '78301054a4e470d3', 'ec15da6be3f66c37', '4f0e7c5b39da1ff1', '29a5e76da0fe508e', '2df3d9757cc88582', 'fb2b05793115d09f', '37d9966442c8f4a2', 'e71dfa0818466743', '6972d0b239803088', '92a71ca61a77d2d6', '3de36eca0531b5e5', '77cc81b0c5730be0', '009f5248262f70e0', '369ef2ae4cb58ae5']; context = [[161, 232], [14, 69], [3, 74], [33, 104], [177, 252], [0, 45], [0, 45], [1, 85], [76, 134], [14, 80], [150, 218], [14, 100], [40, 128], [5, 78], [41, 89], [48, 97]]; loss = 0.010240 low_pass_filter = 0.300
+Epoch 0: | | 39259/? [7:24:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 39260; scene = ['2475b5436e129d89', '9a3f0345a9b17648', '95a5ea2e09ee418f', '39edfd183c4f5b5b', '09f1e74af56c268f', '28f196b2974e01fb', '689eb631613c402c', '2c2448d7d99b29db', '0a13c96ef5627832', 'de27d41e095228a7', '27c168a634509b29', '6dfcc15fc9e4c026', '2d209691d5658fd7', '9a447c89080e9b56', '13172460199656f2', '10ee3c037e33a6fd']; context = [[26, 113], [3, 49], [81, 131], [64, 137], [20, 106], [30, 110], [9, 75], [4, 77], [164, 214], [4, 93], [25, 79], [3, 67], [40, 90], [4, 80], [78, 140], [2, 78]]; loss = 0.009444 low_pass_filter = 0.300
+Epoch 0: | | 39269/? [7:24:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39270; scene = ['95f88ab4932e5ee7', '697df23e9f5fb6f5', 'd41080892de5082d', 'fc801406b1f9db3f', '3bb8ca11ff6e54c1', 'a92ffea4cbb162e4', '062f247f28a18c88', '88f267c298030fed', 'd7fd1af71b563b96', '015f5a7965860c29', '4e726c834344b1fa', '0749505ed5eb06e1', '14aa155881aa04a4', '33bde5a1119d0e83', '63a7a59215cec24d', 'cc630b6a939ad1f2']; context = [[15, 74], [15, 82], [30, 87], [117, 179], [59, 135], [1, 50], [0, 46], [0, 87], [1, 84], [85, 156], [34, 80], [5, 59], [7, 59], [5, 63], [55, 101], [101, 173]]; loss = 0.012663 low_pass_filter = 0.300
+Epoch 0: | | 39279/? [7:25:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 39280; scene = ['ca093a3d6935cd2d', 'c513a3c2f59aa548', '1f0941aceca49b1d', '3172fc3016b29bc7', 'a781aa9c808d47aa', 'acdf5328ac922747', '40f0c4c85a5f8b6e', '39e7fa32d953fa6e', '8255b64ea7989de6', 'd35650707515c2cf', '1a3a20eca34cffce', '07c12f3c5aa008e7', '13e0eb10aa5c845a', 'a2f534dd3e493ce8', '98fe65e85f1a7b05', '9e6c6fe2b6792e07']; context = [[3, 77], [6, 84], [102, 152], [15, 94], [30, 116], [1, 48], [32, 93], [49, 119], [4, 50], [50, 98], [6, 73], [183, 273], [3, 53], [103, 167], [2, 48], [6, 76]]; loss = 0.011347 low_pass_filter = 0.300
+Epoch 0: | | 39289/? [7:25:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 39290; scene = ['a4f2e7495466dabb', '4accbdaf2ba3e72e', '341a2aae7530be66', '86a4988309c5a426', '81b6cf7fd559d1c2', '7c4abf90a9c2bb5c', 'ef0948bb2141d23c', '87c665f106ea30e2', 'da90497dc4a78933', 'd6ecefa36d04007a', 'e23b1573b9c59b53', 'a5958226d3c882ae', '372f7543b01492bb', '0e31843ccbe9288f', '5fd2c3f026ad348e', '1e2602930aba2625']; context = [[96, 179], [18, 83], [0, 45], [20, 88], [101, 149], [6, 81], [3, 62], [33, 90], [15, 74], [2, 52], [59, 143], [56, 119], [15, 80], [44, 125], [1, 83], [11, 81]]; loss = 0.011921 low_pass_filter = 0.300
+Epoch 0: | | 39299/? [7:25:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 39300; scene = ['f4066052175578a0', '3cca5bd6f63c23a5', '9cc6a832ffde1cbb', 'fc5fe3d19d1bcc3e', '203149d77d4e35c2', '3d187ef47213b513', '7bdae1fbfeca5814', '6d849ca53f62a5b7', 'b544cb6ee5baf553', '8956940f736559e9', '2ecf714d6adeb367', '36cf199e21b7e3b0', '32b2e26cca9189d1', 'd466e30d0a3e0072', 'c49990e5b975a6f4', '01ad601c85aae56d']; context = [[96, 149], [6, 74], [19, 75], [84, 155], [14, 70], [60, 133], [12, 80], [112, 201], [44, 104], [25, 102], [149, 226], [36, 83], [11, 99], [30, 94], [28, 107], [45, 129]]; loss = 0.011573 low_pass_filter = 0.300
+Epoch 0: | | 39309/? [7:25:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.90, train/active_min_children_step=4.0train step 39310; scene = ['57c4c871ad8cb634', '900771ff22868f89', '9e58f95fd4a31468', 'ca9b53deb1359193', '861bad9244603e85', 'a56d066178264232', 'f990f04ead348fe0', '6e87dece9971c8be', '45a6c95be2ac580b', 'b5e452fd635696a5', '07e6f68d194480bc', '44cbbd7418d66552', '29abe79174e04768', 'ebbd8c36a1a8d3c2', 'e5056d1efbf95610', '1ec4e8dc19eebef7']; context = [[16, 85], [58, 105], [6, 54], [16, 83], [4, 69], [79, 140], [29, 96], [28, 77], [38, 89], [0, 45], [4, 59], [17, 66], [149, 235], [6, 57], [169, 232], [3, 69]]; loss = 0.011500 low_pass_filter = 0.300
+Epoch 0: | | 39319/? [7:25:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 39320; scene = ['dd5b07d83d0693a4', 'bc32aea88019f07b', '4e8169b7f130e2c9', '93df669a8501c378', '22e67a14833dab08', '6476221df017a9e2', '2d2c24a5d3adf863', '05f85f73e2aee6aa', '74250892a618f227', '6262d7d23b49f6c8', '7a7aa665c3efecb0', '4c2dfabec6c5cb6f', '1b2134d524dfa218', '7fad0336e684f3a7', '27d36259d660db4c', '567fa5e8054cefad']; context = [[34, 99], [15, 89], [100, 181], [26, 97], [11, 56], [160, 225], [9, 82], [48, 130], [65, 129], [114, 192], [11, 61], [1, 76], [4, 57], [115, 175], [5, 64], [20, 110]]; loss = 0.009941 low_pass_filter = 0.300
+Epoch 0: | | 39329/? [7:25:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 39330; scene = ['eac388c09cb28b6d', '35f41e622d274260', '230b85cf6cccf2e0', '607eede38bbe564b', '8affd428b7e77951', '92edfb92210ccd71', '96b0f3e7562b891e', '885dcd6c9641079c', '73b60097c7485165', '986540962d8f80a6', 'df02062f22ce3542', '0dcb0cad41a1f81b', '964a843d6b1eae95', 'ac5b99b6aef3fae5', '6a863f5fa48164d8', '47e999010f49fcff']; context = [[8, 60], [0, 89], [16, 85], [169, 233], [140, 186], [42, 120], [1, 54], [144, 229], [112, 159], [33, 84], [51, 128], [21, 70], [95, 181], [5, 78], [1, 52], [3, 71]]; loss = 0.009203 low_pass_filter = 0.300
+Epoch 0: | | 39339/? [7:25:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 39340; scene = ['ef7970fd2100bdb8', 'b53b27fdad29cf8d', '090563e6281b200d', '0764de57c2aac0b7', 'cb68843a409bae9d', 'c1e78cf2ffa86d43', 'a152a4b1f19f25ed', '46bd6752c4ea9d50', 'a5accfa355df6730', 'dda98b150531b29e', '6a350ebce6b44cf8', '8a78089f2d693689', '71a67ae4eccba383', '92c72363c53e8498', '2a5f0ea759c4a950', '678d2e43ab3e3371']; context = [[5, 95], [40, 121], [26, 90], [7, 64], [6, 78], [2, 64], [48, 104], [42, 103], [13, 78], [47, 134], [3, 88], [143, 209], [95, 174], [3, 74], [28, 111], [1, 88]]; loss = 0.010366 low_pass_filter = 0.300
+Epoch 0: | | 39349/? [7:25:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 39350; scene = ['f3c9b744a3ec8d81', 'ec5815c2f8d05f81', 'f2fd8742f673fa6a', 'a18e4f50b39db23f', '991621933aad3eaf', '0fcee80286318859', 'd0ddbb1c73874bec', '32c0a57c089dfffb', 'f9f1d88856e0561d', 'bd23e786eb4d80a2', '82125c3653da9f1b', '4321e85d908b117d', 'c4005922f59686ae', '81a3f8a8ce79a059', 'ed8272185c1ac2e0', 'f024a38fc8e4ec74']; context = [[54, 131], [1, 46], [20, 72], [47, 122], [7, 91], [108, 170], [33, 96], [5, 53], [20, 109], [174, 220], [9, 95], [46, 106], [15, 102], [12, 68], [58, 142], [63, 148]]; loss = 0.010041 low_pass_filter = 0.300
+Epoch 0: | | 39359/? [7:25:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 39360; scene = ['daa3cae6a1d4e0b7', '2a7d2f896fdb247d', 'bea6fbb680b7dc9c', '080d56120107ef6c', '7646ac2f8b5fdaa6', 'a725e2994ee82004', 'e05b95578c4c14d1', '69d344c94d10cb8f', 'e1e6a57412c525ae', 'a27f448e55637a5f', 'd0a4631fc857ab8a', 'dcc32501d6d299b3', '86824ec7330f61df', '8d08b6d3bb4eb771', '760c4946c9cab2bb', 'e98d3fe566281238']; context = [[22, 85], [37, 110], [11, 85], [143, 210], [6, 51], [16, 78], [19, 101], [143, 219], [14, 77], [33, 89], [62, 127], [0, 74], [153, 211], [13, 103], [4, 56], [16, 62]]; loss = 0.009626 low_pass_filter = 0.300
+Epoch 0: | | 39369/? [7:26:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 39370; scene = ['b95a2ce1d191fe04', 'a6463fb1c9e10282', '264626db21145229', '7097ecbb242ddc3d', '1f2241043228c846', 'd635fdb4ad2d18bb', '4b9488446f93e268', '701699799d981edd', '1a369bc5ee12b895', 'cfbe97a277ff392d', '79dda916bba4e040', '9c719fa62656280b', 'd4d62e24faa1a895', '4fdd05cb93ce0120', 'ec084b47780b0054', '5e6ba1ec43745076']; context = [[1, 84], [18, 76], [79, 165], [0, 80], [25, 106], [82, 146], [11, 96], [7, 68], [126, 206], [25, 78], [22, 68], [45, 110], [17, 64], [17, 93], [103, 159], [216, 273]]; loss = 0.009645 low_pass_filter = 0.300
+Epoch 0: | | 39379/? [7:26:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 39380; scene = ['2e2d0271a792d57e', '0e9e8dd84bc136de', '1a0c841bd063b70b', 'de64ddc3dac67b2e', '1cc1f0e0dfd6912c', 'a1765a6e321bd6e1', 'e4609206a11a6a43', '410d5bffeb8cd4f3', 'e23218543b09f6c4', 'a0f58ed84db144cd', '5f0601007c180e69', '61f2b4f0fbdfdc56', '925bb132693b2e06', '3c916ce0b7d20d60', 'f9879c1f6508cea5', 'fc8a487df5aae714']; context = [[53, 131], [10, 64], [3, 50], [1, 56], [56, 101], [3, 78], [62, 152], [5, 69], [15, 98], [0, 49], [166, 230], [32, 83], [110, 173], [7, 65], [0, 78], [20, 76]]; loss = 0.008481 low_pass_filter = 0.300
+Epoch 0: | | 39389/? [7:26:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 39390; scene = ['180480cb22ef0725', '489e61a289f59044', '610ec8daa2775e45', '072888bb251387c5', 'a4f8febd2dd51706', '2434d67e7dedfcb4', '6255ad81d69d712a', 'b5dd6c0b8984c3e1', 'dd3e295d87254211', 'f6cf7564dcf914a6', '5d04fab0c0b812c2', '4812a70132f58027', 'ed03a5c85c48f284', 'c43f2afac41be9f0', '3933e050eaffe98d', 'c09f0974b1886497']; context = [[1, 73], [110, 167], [10, 82], [144, 213], [61, 115], [19, 84], [61, 115], [63, 114], [151, 204], [131, 214], [17, 78], [127, 213], [7, 64], [1, 90], [15, 97], [71, 161]]; loss = 0.011702 low_pass_filter = 0.300
+Epoch 0: | | 39399/? [7:26:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 39400; scene = ['983efe783b37d558', '18da11c0260b33fd', '6bb5c56fb61101d9', '5ef0cef4ba4129e2', 'e2d9d16fad5887af', '7bcde7f68f93690a', '540dadaf765a658a', '9460fa349c6938ee', 'bc67341c31098cca', '35a9ae304403b303', 'a4721eb32195ea7f', '2f8dc070e74f3d39', '7332844fad895fdd', 'bf563dea667a926b', 'ed6dde4ef3037b45', 'fd81e1b584ba9dd2']; context = [[87, 138], [147, 218], [4, 66], [20, 84], [34, 97], [46, 92], [90, 162], [8, 92], [10, 61], [9, 99], [14, 96], [0, 50], [101, 170], [18, 89], [10, 90], [207, 268]]; loss = 0.012892 low_pass_filter = 0.300
+Epoch 0: | | 39409/? [7:26:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39410; scene = ['d42efb39cd972a19', '91ae7aa8ffd1cea6', '81ee268730f0cfd4', 'd4a804c9d4003fec', 'fdb1ddd7b6d42b1c', '257e2910b28b2b2b', '18152facf0d07c56', 'd9590036ff6fd866', 'c1b1ce01476efc00', 'c3e3a7ba5d9219ee', '97bd795c207a3be0', 'f9c3fae342576d5c', '3d21e749686e5754', 'f49e05ae93f16a10', '0ab56001fc8803c2', 'b613431f8d7fcaf0']; context = [[103, 155], [132, 215], [23, 86], [4, 64], [64, 120], [0, 68], [3, 93], [3, 71], [0, 45], [2, 50], [57, 105], [154, 235], [113, 177], [65, 119], [107, 187], [100, 145]]; loss = 0.011711 low_pass_filter = 0.300
+Epoch 0: | | 39419/? [7:26:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 39420; scene = ['f356a31315da1ce8', '827f9147cd39f3e2', '43132efce70bfb06', '5892be62d259a06c', 'f3d1d0c917096e36', '304af614678c4fc8', 'ea248182d2b0fbec', '70f18731a05c3d3a', '7fd24508f66f31d4', 'cb37fdfe60a60681', 'b0b8d4c9ced5ad4c', '8ff3b15727d6fa7f', '9e5b0c23b2b7ce1c', 'baafaa0a9cddbbb4', '25f8fa5f70fc3819', 'e52f052d044d211d']; context = [[17, 80], [14, 63], [10, 62], [5, 61], [70, 139], [13, 73], [62, 110], [10, 80], [13, 94], [20, 103], [1, 86], [26, 82], [7, 70], [2, 61], [150, 218], [6, 53]]; loss = 0.010446 low_pass_filter = 0.300
+Epoch 0: | | 39429/? [7:26:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 39430; scene = ['78fab87a339cebcc', 'e04988aa0ef1ff95', '62ea424fe1922971', '6e127700ed296733', 'a96d726d64289e16', 'e7ca9101abf865b4', '7c3c345404cd29ee', '916ba32c24c8014f', '9fb3173ad654a32f', '484b6df8b586dd1a', '57112bf6cf251fe1', 'a421fa44be30ccf8', 'b4049b5f74fe2c1a', '9a8fd1d3cf706b89', '3370b1a40953d7ca', 'b3ccb1e1003fcb6d']; context = [[16, 88], [123, 200], [7, 95], [4, 83], [31, 89], [14, 81], [10, 76], [3, 79], [10, 73], [14, 71], [0, 58], [22, 103], [17, 105], [1, 85], [9, 82], [1, 78]]; loss = 0.011577 low_pass_filter = 0.300
+Epoch 0: | | 39439/? [7:26:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39440; scene = ['ceae0d5fe00411b8', '4bfd9ce2e7cf4105', '5b38600054300759', '9749f269b3c35673', '3fff43daf78cf5c6', 'bfcb6064b910e923', '103ed44996e0eb26', '7f54d26a8ab0e14e', '9b91c8500421d562', '86804304e90a280f', '7453567bc6bb115a', 'ae967e6bbd12e29a', '502168dc460bc1c7', '0d7c648be0247e1a', '6a1ea67384a032e0', '35bf2746e0a4e79e']; context = [[0, 69], [100, 158], [2, 78], [8, 53], [15, 76], [15, 64], [6, 91], [13, 75], [10, 73], [138, 209], [1, 60], [6, 74], [3, 66], [9, 61], [118, 166], [0, 48]]; loss = 0.014622 low_pass_filter = 0.300
+Epoch 0: | | 39449/? [7:26:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 39450; scene = ['7af3ae39bafa42ca', '20e52dd69adce3bd', 'de24e08882c2f2a1', '02dfa1c2784f08eb', '491e340a53f1c0d2', '49a3f7ae3a565531', 'fdea8b88ee5b83c0', 'a6f6a363e768c68b', 'fa1e78f4c605baf6', '7d1a5c5ed1505601', '83d36bc79b6ddd5f', 'e5545e30f772706a', 'dc015aae44af1ee3', '449002ada2ccb247', 'd8d76c5a94df95f6', '05e57498aeca6d81']; context = [[27, 91], [55, 104], [38, 128], [65, 150], [1, 72], [24, 91], [30, 107], [31, 107], [36, 100], [9, 72], [19, 81], [68, 119], [1, 58], [17, 76], [26, 97], [95, 163]]; loss = 0.010019 low_pass_filter = 0.300
+Epoch 0: | | 39459/? [7:27:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 39460; scene = ['d34926c73ae1277e', '6b2735cb86d4e4f1', 'c13bb399a020e3c3', '4a14943578b95a8e', '9e3fccd43f45c2d2', '2e52528c924eec10', '21c6f59110072ea4', '133b10735f5e1c03', 'bfc711e6a4a355ce', 'c7bcb6e6fb240827', '0af2c96de56bf884', '2c70a962096d773a', 'fae93ceeaaf99328', 'd92a6ababd47f047', '1a50a5e0096742c3', '64f07750a0acd912']; context = [[70, 136], [2, 67], [107, 167], [19, 75], [14, 102], [1, 47], [4, 65], [46, 93], [112, 159], [0, 75], [157, 218], [17, 85], [105, 178], [195, 270], [122, 173], [44, 99]]; loss = 0.012760 low_pass_filter = 0.300
+Epoch 0: | | 39469/? [7:27:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 39470; scene = ['e513140e701c5e66', 'a8a839f576f8efa2', '7d0730b43c16c126', 'ab69c928f16d5de1', 'b03141d1d2429dcc', '9f0534a8f73b5b5f', 'a7c454119cd0c84f', 'cc1665e6993bbd5f', '27f29330feb1619b', '4078b0e80e1d4b3e', '38b83c7b78639e3f', 'a58982a3ce680e24', '54c2ffb9b031aa12', '5ca6f4c7bd808c60', '8481aa6143270581', '790324d13c5db809']; context = [[35, 80], [2, 55], [38, 115], [26, 102], [9, 89], [1, 49], [102, 147], [36, 112], [26, 105], [34, 84], [61, 106], [23, 86], [172, 223], [9, 66], [43, 105], [42, 95]]; loss = 0.010788 low_pass_filter = 0.300
+Epoch 0: | | 39479/? [7:27:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 39480; scene = ['9caac0a86187d952', 'cab37a0e45880bdf', '949f54dfbf042a74', 'ab9608b28903f6c9', 'dbc41a695dbf3200', '78f8199d3e95039f', '823335d40dc7bc7d', 'e9336696bf815c70', '6374f77a0a86bfdb', '0817fdf3c4ef8c48', '5afa3097bb38b159', '804eba20f315337e', '2248f7eaf18cca06', '6b6c1924a5328645', 'c7ae900f7a5628a3', 'd6a1f3e13c45df99']; context = [[6, 96], [13, 97], [29, 108], [44, 97], [25, 92], [30, 111], [10, 100], [68, 142], [5, 63], [188, 257], [4, 69], [0, 83], [29, 97], [10, 61], [22, 104], [0, 54]]; loss = 0.012513 low_pass_filter = 0.300
+Epoch 0: | | 39489/? [7:27:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 39490; scene = ['caf4fbfc305764d5', 'd6649c28162a4b0b', 'f5fa0c438f970486', 'b30bae372ee0cb0d', 'ae5102a2fddf072b', 'b02e382c90afbda7', '5e05a3bb4a7b2408', '240037205a68904c', 'b73c82a030426b3c', '0be7ab3df88c9c6e', '36e1163e28f2bfed', '9c7f566e1aa31a8b', '90a1c5e227743bdf', 'eece18309729d1f1', 'a943ba6f8905b420', 'ede92a46c8dd0f52']; context = [[7, 95], [0, 86], [146, 197], [1, 73], [9, 93], [10, 100], [94, 162], [16, 73], [14, 89], [117, 169], [6, 59], [48, 106], [8, 98], [126, 182], [5, 80], [11, 76]]; loss = 0.011641 low_pass_filter = 0.300
+Epoch 0: | | 39499/? [7:27:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 39500; scene = ['01c72bfd2acc1bf9', '820efb23bec5de13', '155bdf703c9d2c78', 'd85e72198954fedf', 'e3221f6e2e4298b4', 'aab3ddb3540888d6', '61c1a8c9a5bbb249', '79bc597102376aef', 'af9d1e6e51023368', '1dffc11384eceb52', '717e391149f3c5eb', '7e18c24b44ceb1cd', '0580f898bf9de725', 'b18ac5291f4c02b9', 'a2c58db9c8001374', '832975ea48dd655d']; context = [[50, 127], [124, 211], [11, 91], [1, 54], [55, 145], [21, 82], [11, 71], [207, 253], [89, 146], [159, 248], [31, 81], [139, 226], [23, 112], [1, 67], [13, 72], [38, 97]]; loss = 0.011296 low_pass_filter = 0.300
+Epoch 0: | | 39509/? [7:27:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 39510; scene = ['878a9cd31f4ad9f6', '210ab3c1a9d655e5', '842edd33637dfc83', '6e0446b32be39b1f', 'c84c4db184037309', '9a80121d71258b41', '7d597cedae289ee8', '86badfef4fc36bed', 'c6246a94432e00c6', 'e5db691627ea5357', '319bd9ea90f25ea3', 'db2e57b7e99316f8', '9e5d4092544094ba', '615d6bfaa3a5499c', '710edfdf32d1e025', 'd44849401776c1e6']; context = [[88, 164], [147, 222], [4, 53], [4, 52], [1, 46], [6, 57], [5, 58], [30, 86], [0, 47], [22, 109], [0, 69], [0, 77], [6, 82], [32, 118], [15, 80], [7, 77]]; loss = 0.009765 low_pass_filter = 0.300
+Epoch 0: | | 39519/? [7:27:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 39520; scene = ['02a53a0050230704', 'e17271dffca59540', 'c3372f1fa6c4714c', 'b233ce84c946d4f8', 'ac0b15f81f34ea22', 'a670ce22b15e4752', '9caac0a86187d952', 'cab37a0e45880bdf', '120a39431fb42fda', '949f54dfbf042a74', '5ee0d7b6fff21917', '61b8d6d61f125dfc', 'cbc03f0f2baa6993', '6bea1666cf40aea2', '7c0f2a743fc71eca', '05ea780fd1f2dabe']; context = [[21, 106], [67, 156], [5, 83], [73, 127], [40, 130], [27, 92], [64, 140], [17, 94], [1, 67], [58, 118], [1, 49], [1, 49], [2, 55], [12, 100], [13, 66], [37, 85]]; loss = 0.009926 low_pass_filter = 0.300
+Epoch 0: | | 39529/? [7:27:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 39530; scene = ['bfde7f58848d4403', 'f72e0d5e11df9fce', '1bdd32e32e0c1354', '69fa43535c0ce54b', '5358a81f3bc92e90', '65c475803b9b5228', '21dd673017056093', 'f3368db80c3bd8d2', 'cd6bcd4d2762a4d9', 'f939a717c8f8cccc', '5d021215098f312b', 'ba8683c7d9392cae', '8d44230707ae23fd', 'f2f21e00e8036928', '0914ab351ada6998', 'dec8aa28b4402b50']; context = [[51, 127], [2, 50], [28, 81], [0, 48], [8, 65], [22, 90], [159, 248], [22, 110], [13, 92], [31, 114], [20, 76], [81, 159], [28, 85], [0, 79], [10, 56], [56, 124]]; loss = 0.010611 low_pass_filter = 0.300
+Epoch 0: | | 39539/? [7:27:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 39540; scene = ['2c4fcf937e2b85b8', '4e3f03d8eb84477a', 'b7556b0783a9501e', '77530dbf37d42b74', '1aef6f4ef6ceb889', '309d451b7ba0da15', '297b64e30f27b9d2', '69990ac966f55d33', '6daed58f9f82a5ca', 'da0fad2070e6c0dd', 'e17208be486cc7a7', 'd0c6d0c46eb130ea', '0f62ec5c20682f71', 'dbac9841157230ce', '093f98ee806dc5ae', '2b15c8704aaa87ba']; context = [[1, 64], [0, 74], [9, 78], [157, 228], [30, 85], [21, 80], [6, 64], [3, 68], [2, 77], [3, 56], [32, 117], [20, 100], [215, 263], [192, 244], [21, 99], [4, 89]]; loss = 0.012125 low_pass_filter = 0.300
+Epoch 0: | | 39549/? [7:28:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 39550; scene = ['86270bfca57f93f8', '32f1a97335017d58', 'ba00608cd351deb0', 'ede232ddb1498db9', 'c6ebf1a0acc6844d', '6e12e46a273ddb93', '9b4d466924c40d8b', '4b6cbf1f4c87d918', 'fd57854f46eb713c', '4a16094a5acde070', 'f0f42a1310d9a5a7', 'fd7dedf57981ee4b', '075a9bb030a7db15', '9edc0db730693fee', 'aeeb41f6289e530e', 'e4abf77ec25cb0e0']; context = [[7, 77], [19, 108], [13, 86], [5, 64], [145, 197], [12, 83], [57, 126], [0, 83], [0, 45], [5, 70], [15, 71], [2, 63], [29, 91], [66, 155], [95, 147], [54, 102]]; loss = 0.009698 low_pass_filter = 0.300
+Epoch 0: | | 39559/? [7:28:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 39560; scene = ['01013ae23fd56cf6', 'becfa3668f1ee64e', '3b7c1da7ab8f7c7f', '7fe98c1f01f1ef82', 'adc4da860adb345b', '79f1ced3ae31f942', '3f575f7539ab6976', '2077837c28470a26', 'a37504e5a333ec20', '40aa0220cc39a914', 'c7dec949f5729c8c', 'f26e9cdace9af960', 'ad596afee6a8aa9c', 'c2368674dc54c1ab', 'f575470bf119a425', 'd247b250c6bee35d']; context = [[126, 192], [87, 160], [26, 114], [22, 74], [5, 83], [5, 75], [3, 85], [97, 146], [37, 92], [6, 62], [153, 208], [1, 54], [0, 69], [10, 64], [53, 100], [0, 68]]; loss = 0.009871 low_pass_filter = 0.300
+Epoch 0: | | 39569/? [7:28:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 39570; scene = ['fc5c4244dd42b9c2', 'd29ff797dbc69ab5', '8663906248d346cb', 'be885aa875712dde', '4308154957c1ef63', '0016d89da2d78196', '2950884335bd243c', 'cf784e584d2d33da', '1b38ef04f2839dd6', 'c10a042037a5a120', '594a53a4007ff3ee', 'db9bc0ff275d4fbb', '871cf978eabbd334', 'd24a8a424be5ee95', 'c40912fdeb819658', '75933e11d3115802']; context = [[15, 85], [4, 80], [27, 96], [35, 108], [0, 55], [68, 142], [21, 110], [4, 51], [65, 121], [21, 75], [3, 52], [52, 127], [110, 180], [33, 104], [176, 247], [1, 58]]; loss = 0.012017 low_pass_filter = 0.300
+Epoch 0: | | 39579/? [7:28:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 39580; scene = ['ecdb994183e9ded9', 'c8cb25092964f8e9', '296cc032e4e7d75a', '85de5a5be8e4910c', '2f71cfc6c03e7d04', 'd68a233d39cc2158', 'ee3ca8e10ed41dee', '7b24ff33bae3b3d7', '1523333578046fb5', 'e30f991f5555ec78', '6a8ced127a3c791d', '0533d23dfb17f17b', '39537fd202eb32b3', '077a814db8619777', '66a324d8c0a8b80c', '513aa200a2b07a1e']; context = [[60, 119], [11, 83], [158, 234], [6, 70], [3, 56], [31, 82], [52, 119], [40, 95], [180, 263], [2, 62], [65, 129], [75, 142], [37, 108], [70, 120], [13, 73], [10, 73]]; loss = 0.010405 low_pass_filter = 0.300
+Epoch 0: | | 39589/? [7:28:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 39590; scene = ['a4e81bb81f7f4b98', 'c26b1dbc51bb76a2', '052b90459fc4dc8b', '95a37920b1ec02f6', 'dd050bfff50eb8a0', '5bb7bb3784ca3d66', '6f3364f094e81f66', '285eb8af8191d4d1', 'dc36fa3cb8bf4492', '7fcf8100c81fd54e', '39d22b119739d628', '206f207ba1fba3f9', 'fe3356c41851577a', 'c70a420b1d7dca8f', '84556fd53fab52bd', 'ba2a2ce5a110fb53']; context = [[14, 63], [6, 55], [22, 73], [0, 67], [65, 113], [18, 80], [6, 95], [8, 80], [16, 76], [97, 146], [19, 92], [40, 102], [20, 96], [7, 67], [21, 97], [71, 116]]; loss = 0.012212 low_pass_filter = 0.300
+Epoch 0: | | 39599/? [7:28:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 39600; scene = ['c9e908637d748a4b', 'a76c6ce5d65d203e', 'f5f68ef105502df8', 'caa9ec5743956e5e', '44eb2c67b9c0b4f6', '181187067acc4cc3', '400560c62e3de24c', '7fc3c9ec1c938fe7', '6a279347f7b07636', 'efce7264206c4d36', '60ff26df8d284a27', 'e2400ea7b41d777e', '62b236553c63fece', '53989f07ffed6e2b', '1f2f3463069ec6c6', 'cf78027fd4790810']; context = [[27, 90], [1, 51], [5, 54], [135, 197], [9, 85], [2, 47], [65, 152], [0, 65], [9, 86], [134, 213], [22, 89], [37, 100], [94, 139], [0, 74], [12, 102], [79, 140]]; loss = 0.011190 low_pass_filter = 0.300
+Epoch 0: | | 39609/? [7:28:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 39610; scene = ['c13d77898a35f1fc', '3d6b9ddbc7735a60', '1b1433ed317668f2', 'a2379d62fc9f4644', 'f1e0fc96c0c84a64', 'bdd54254ce33879d', '50fa5f6485b902f7', 'f464ca10aeb319b2', '0c00add2df364424', 'c9ba5f457926c590', '44e220cefe7bb7be', '3becb8b0325bde6f', '4dd909d8988b412b', 'fb750a5ea96604dc', '1db056553a89dd50', 'a5fc7e6306b6cff3']; context = [[59, 109], [101, 187], [21, 70], [12, 61], [228, 275], [177, 236], [12, 93], [86, 146], [16, 71], [31, 100], [23, 107], [93, 168], [4, 56], [0, 48], [3, 69], [204, 250]]; loss = 0.009562 low_pass_filter = 0.300
+Epoch 0: | | 39619/? [7:28:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 39620; scene = ['5bb7220d29b597a2', '3a57a0567bc87e47', '68b7b35d7044c30a', 'e57b8cabdf4774dd', '8050b71974f850f6', '0bcb2d52be15ed33', '7751ffa57eebf919', '38d6a96206f7e229', 'c64b9e92d595242d', '909bf59987fe6c80', '45488397d2a130f1', 'fd01cd966a406b10', '75a614e20d102201', '6574e14e9734712c', '89881c5590c6fb13', 'a52ee89267dfab70']; context = [[12, 79], [44, 99], [30, 109], [29, 87], [10, 90], [70, 155], [35, 118], [37, 103], [28, 114], [110, 182], [2, 51], [1, 54], [59, 143], [176, 263], [21, 99], [0, 45]]; loss = 0.010791 low_pass_filter = 0.300
+Epoch 0: | | 39629/? [7:28:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 39630; scene = ['5fc78da0b2bb89a5', '34eec767c46f458d', '7c1e5a3898536693', '75b86a4e2efa0937', '9232ef6ebf4bc047', 'd0011aad43526269', '91f339b9c88c5648', '7d1ff82e642d5373', '44be74319748a608', 'e96060d1e31bf6c0', '63ba0cc0116eaca8', '3343ae50bd84d78b', 'dc1f97232358798d', 'd0e255176b3ceba8', '745ac5a5e04f923e', '2e1c9ec1ca255a16']; context = [[185, 261], [9, 79], [7, 64], [1, 78], [12, 59], [100, 145], [43, 111], [9, 83], [22, 73], [46, 97], [10, 59], [43, 129], [123, 192], [41, 104], [66, 147], [22, 93]]; loss = 0.009993 low_pass_filter = 0.300
+Epoch 0: | | 39639/? [7:29:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 39640; scene = ['cb7969e3c014c447', '99b8d16252e8bf6a', 'a5a65324d2c3e20f', '9c0dfa31d55ffc5d', '6c03ecd2106e542b', '3f275d1a2b75c460', '05eed8ae0ceee055', '8bb6a52eb7546b9e', 'e25fdd12f8ddbe42', 'fd8c58805a736806', 'f37cf46fe1969cfe', '5bfc07e208fce700', 'a9139b3b3fda05b5', '3a54044fe7cf177d', '1894db32c35c53f5', '2fd2e724a6a04576']; context = [[43, 108], [47, 115], [24, 93], [23, 84], [143, 209], [14, 94], [5, 80], [60, 143], [16, 80], [173, 251], [67, 141], [8, 69], [98, 160], [39, 118], [11, 61], [6, 60]]; loss = 0.011033 low_pass_filter = 0.300
+Epoch 0: | | 39649/? [7:29:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 39650; scene = ['1fce2d5038f7fe28', '892c09bee3c83352', 'd584fda314ab11db', 'c7bea6aa7296c50b', 'a4bfd76bce0d2976', '44081a1a9b1b183d', '7d08a5d6a3217be2', '6948d440d6aae7d0', 'c8af89fa161452c0', '30a815b0b47e8a6d', 'cf83070a1af0286e', 'c2c69f132eaf226b', '39953b7377e8fbc6', 'f6c9f7047e2256e1', 'eee30c0a00eff2c7', '3df33a689743b8ec']; context = [[1, 70], [29, 77], [98, 162], [42, 102], [47, 92], [2, 70], [19, 106], [78, 151], [8, 90], [61, 132], [38, 101], [58, 147], [145, 217], [23, 86], [23, 101], [1, 61]]; loss = 0.013923 low_pass_filter = 0.300
+Epoch 0: | | 39659/? [7:29:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 39660; scene = ['d5ff3791e665e700', '8cc4a9c07940e030', '821fc852654481cf', '5ec3fb8cde184b21', 'c554cbf54f3649c7', 'b2b78a32c4452275', '77222339f20463db', 'b7c906a0a3d5a9be', 'f54afaa529791d38', '2d9e5a21d252ae14', '76ff279455982eed', '9e3a0e80ccce007a', '857d4eb506c89618', '0fd40a7e2e3eab8f', '87397fc51bb6dae8', '36655ab822a014cb']; context = [[37, 123], [31, 93], [11, 64], [16, 83], [44, 114], [24, 100], [6, 96], [66, 122], [24, 81], [82, 147], [13, 96], [14, 74], [22, 93], [181, 258], [2, 49], [80, 151]]; loss = 0.007838 low_pass_filter = 0.300
+Epoch 0: | | 39669/? [7:29:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 39670; scene = ['2a4fe9d5f507d831', '548ad1b923e633d8', '92a1f3ab5dbe634e', 'e4e308c23086319b', '4e4985c5a76ac0e5', '26b8065adc153c13', '259a3164730654e9', '3d815e82280adf55', '962bb93ece5a86c7', '82287431217a5884', 'a6231e1d75daab63', 'ba76ae55718c204b', '9164e11049261164', '99e60f10e4d0acb3', '41c72cd693116118', '654b984035c8e861']; context = [[35, 95], [22, 68], [2, 67], [10, 82], [32, 85], [8, 83], [4, 68], [42, 105], [0, 52], [80, 142], [26, 104], [44, 93], [9, 78], [66, 148], [10, 77], [6, 54]]; loss = 0.010293 low_pass_filter = 0.300
+Epoch 0: | | 39679/? [7:29:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 39680; scene = ['e77413c3bd5a969f', '649c81d80ec01c3b', 'fb8583841b6fddff', '97ed0880252f9cf4', '0cfded185be45f76', 'fe0e03f65ade938d', '2488baa34ee1df60', 'a355f3cb04ce609f', 'fba0bd785cbf3eb5', '51d5937833d23e57', '2a33a1cd1a911475', '19fc0a7721a0b0be', '1a6582d593f05e31', '1de1180d284c6758', 'a4707894af988c79', '981ec506f38ccde6']; context = [[1, 61], [20, 99], [37, 116], [16, 78], [5, 88], [56, 113], [26, 91], [1, 76], [20, 88], [2, 81], [16, 63], [102, 165], [22, 79], [56, 112], [22, 100], [18, 93]]; loss = 0.009983 low_pass_filter = 0.300
+Epoch 0: | | 39689/? [7:29:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 39690; scene = ['b42ea7355de20abd', '1e31b7611058ffc1', 'bf02e2f3f0047779', 'c7be7b75f1571013', '0ec74c80b0542c7d', 'ee16ad65a39902d1', '1915fe94c9a3ffe3', 'c9c985820d5ccef9', 'd0742930092e8f5e', '1570f8996b68e773', '09e69ab157498eda', '35d5377711a700e8', 'a5c10a93cd252db3', '3970ac8ff10ef747', '9b4f66711630f639', '09b303aef92abcf5']; context = [[125, 181], [70, 129], [2, 81], [14, 104], [4, 81], [169, 214], [7, 78], [53, 132], [130, 203], [28, 84], [178, 257], [2, 87], [100, 160], [5, 84], [110, 194], [47, 127]]; loss = 0.009754 low_pass_filter = 0.300
+Epoch 0: | | 39699/? [7:29:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 39700; scene = ['38acbdcbe3c452a5', 'f169a39c736d726c', 'c38f283c8f0ebc3f', 'b7393e5e7dc3b8de', 'f53cad7b67ea36c4', '7e163d8a4406562f', '6e5216365c5fe309', 'ed6fb506dd413854', '34709fee2e3119e4', '11d5b692922b1018', '259fec6c43f1f0b1', '456e49b9cf11923a', 'eaeaf71b0ff6e2e2', '9623dafadfe20fbc', '02227bd2bf5727ce', '41ef6698fbe7aaa0']; context = [[203, 277], [3, 56], [10, 58], [115, 177], [13, 72], [16, 67], [1, 90], [23, 70], [24, 86], [9, 65], [140, 225], [0, 76], [200, 249], [26, 77], [50, 120], [3, 48]]; loss = 0.010261 low_pass_filter = 0.300
+Epoch 0: | | 39709/? [7:29:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 39710; scene = ['aefd1619f18cb89a', '8f2cfae19c1bdc3e', 'd3439c63b98e6e98', '265d9f82e49dcca1', '14e5563f8bc8b012', '714eac3395b83c9c', '5fb33865ad397908', '270c3e94da75a8d8', 'ce417ca74c6ce0a4', 'c536653897e9f3d3', '4cba1436a5f07e70', '1297e85443bade59', '85a4a22d86fc3b8f', '93d0907e4e9dfc64', 'e892b47d9040ac89', '47a15e60ae728339']; context = [[0, 79], [1, 72], [69, 129], [3, 86], [25, 107], [44, 131], [72, 120], [8, 90], [29, 84], [14, 69], [155, 200], [2, 52], [226, 278], [74, 164], [14, 67], [81, 126]]; loss = 0.009544 low_pass_filter = 0.300
+Epoch 0: | | 39719/? [7:29:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39720; scene = ['e8f861465ba60d8e', '95db38a93027169e', '86238485ae316522', 'a43dcebff84ddba2', '45d04b9824b1d3db', 'c335f6430f3c6c02', 'a224bb34d94bbebb', '7442e8d1f450ec5d', '43796a5e9835d23e', '5b6e4e886fe8aa82', '19242e2977432835', 'd3d939eb13d3e2e2', 'bb5dc6563967a1a7', 'c64522975c1b787a', 'a23c9a6f908d54ca', '5446148b27f5e5ea']; context = [[23, 91], [211, 256], [13, 77], [115, 169], [20, 68], [20, 100], [13, 89], [37, 113], [0, 61], [4, 49], [4, 61], [51, 133], [6, 64], [87, 175], [14, 69], [42, 122]]; loss = 0.008945 low_pass_filter = 0.300
+Epoch 0: | | 39729/? [7:30:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 39730; scene = ['36207c22e4ef1437', 'd3d8f60e4ba32fae', 'd75bee1cfe6eb53f', '5ab3d7a64b47ab52', '4cd552b90b7668a4', '6b481d7f8c3e3887', '5305f13cbd5351cf', '34ffc4903e3a1622', 'f95e0bbb315250f4', 'c40133dd82bfbd0c', 'a740e82dd72e351d', 'e5f6c40c0454e1aa', '51c99c6fd15b519a', '1f3dae4428a8d9bc', '0583810be7bc8bf8', '448da348dbaf99c4']; context = [[82, 163], [14, 74], [8, 83], [1, 60], [57, 133], [108, 192], [85, 169], [14, 59], [145, 213], [4, 75], [17, 104], [1, 71], [92, 169], [1, 46], [31, 102], [3, 84]]; loss = 0.012329 low_pass_filter = 0.300
+Epoch 0: | | 39739/? [7:30:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 39740; scene = ['4e4913bf8b67bc4d', '1d4b7b05128e949a', 'a5b8b5455e23f83d', 'd28dc379932db402', 'e7b0d2b0f8345433', 'bcb2e6defe083126', 'b29d23d76f4b1f60', '34b6c365004325e7', '4be41d2ae3c6c617', '85b89f911b62c310', 'd6fb3530ec7b97c2', '1a7b857d206b5e11', '580cfd410e2cc3e8', 'c2f79eadd57323ce', '93b1c2796a3fc4b4', '5681ba36cbd7b536']; context = [[14, 78], [2, 88], [13, 63], [12, 59], [7, 54], [53, 118], [7, 64], [29, 92], [95, 171], [0, 45], [84, 171], [32, 77], [29, 85], [2, 69], [143, 206], [13, 72]]; loss = 0.010741 low_pass_filter = 0.300
+Epoch 0: | | 39749/? [7:30:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 39750; scene = ['b4da38076c68ce1e', '79f526b49d544ba7', '4c5bb6ff3f9a39e2', 'e3678a1a23493b00', '5054bdf3153e5786', '473e019493f80269', '5d9e6cc4ed87959c', 'b8f235ecb665c9be', 'f4c1819dbccb953b', '452903cbbb0f87db', 'cf7ae8e62157a6f5', '1ca246326f3ba534', 'de7a63a9ff99be70', 'd56ac01183d2f244', 'e0bdb159d8c138c2', 'b5dbbbf30fc7a602']; context = [[0, 45], [37, 83], [95, 178], [0, 51], [32, 119], [31, 93], [40, 116], [96, 159], [29, 79], [1, 78], [6, 59], [107, 174], [63, 120], [3, 89], [4, 61], [5, 52]]; loss = 0.010450 low_pass_filter = 0.300
+Epoch 0: | | 39759/? [7:30:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 39760; scene = ['5888770aaa4a968b', '5b357eed900357ef', '1cb6b3a29a639e63', '8717033b0c015117', '08229b370b6679ab', '89200a23ad856a24', '9507201d84c13ca2', '1b27574df699e0f1', '785b4e92df170c53', '3cc8d06011dd9207', 'b868a5e2c04c318a', '88738a0216eaac3d', '303d4152e23ed544', '85756e711ab92320', '06d2876e8c40a3b6', 'ea6695c6dc07a131']; context = [[7, 88], [25, 83], [5, 69], [1, 65], [4, 63], [49, 128], [23, 76], [12, 70], [15, 70], [7, 62], [70, 136], [1, 59], [101, 153], [28, 78], [5, 86], [2, 81]]; loss = 0.014239 low_pass_filter = 0.300
+Epoch 0: | | 39769/? [7:30:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39770; scene = ['ac0880525e3d3c59', '0d24a9841d825fe5', 'f648f8f5c2704677', 'b2d281a2a3be0076', 'f4a5946de9def774', '8f8e3a8ddea46cca', '58b26791bbec77e9', 'c44f299b2fe274f4', '5462f0ae4bc078bb', '6d9bc6eee9eb9927', 'e888bfab74a31d61', 'ea5affe8ff166ec9', '3daebb222ab668c9', 'f88d500b5ea5615c', 'e0ee598872cce8f2', '9d754f3327a35f96']; context = [[8, 81], [22, 69], [23, 68], [149, 214], [25, 90], [8, 77], [158, 203], [7, 54], [15, 98], [147, 196], [148, 205], [24, 77], [2, 87], [19, 74], [7, 62], [2, 69]]; loss = 0.011488 low_pass_filter = 0.300
+Epoch 0: | | 39779/? [7:30:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 39780; scene = ['d60624e14709aca8', 'e90ed5155007d77b', '39ba141a740bd82d', '8169c8faa57d4f73', '2da0d2a359988cf0', 'e407e438aa7e9206', '4646bbb28f1eae0e', '91e6d5db234847dd', '2d2956eda43da92c', '03ebe8f7060a0adb', '6d924b8977d59cbc', 'ecbacc0f6e82298f', 'bf18f5ce237cd08c', 'ec4db803b81a0bdc', 'd213ce3b97719343', 'dac3810c49d3ab7b']; context = [[20, 90], [35, 88], [16, 97], [98, 169], [26, 98], [1, 52], [53, 111], [18, 64], [1, 66], [1, 67], [1, 63], [50, 137], [97, 176], [0, 70], [92, 155], [46, 107]]; loss = 0.008547 low_pass_filter = 0.300
+Epoch 0: | | 39789/? [7:30:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 39790; scene = ['1ca1a938ef8d7dfa', '7754a66cbcf3db22', 'fd397ecbd5d6b4e3', '93fac9602a1702de', 'ce81fbe67b6d91f7', '8db206b0faa1b032', 'e78668ecd87257dc', '86ddb8cd0b6f0741', '3b4f5b58eaa9e909', '4fd26cdcd92cc984', 'b7cc7c503b10b878', '4700b4a628c6131b', '45677926c908e6e5', 'b5ad3c2c360db727', '5b511f6b48cdb84c', '165d9989e76cd538']; context = [[12, 71], [18, 90], [3, 73], [17, 87], [27, 87], [0, 61], [0, 56], [0, 48], [2, 63], [4, 74], [4, 70], [47, 92], [0, 55], [8, 75], [41, 99], [43, 128]]; loss = 0.014313 low_pass_filter = 0.300
+Epoch 0: | | 39799/? [7:30:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 39800; scene = ['c9e3c2ac3353dbe2', '52d73f2b4a57e0b5', '7debdb126491a6f1', '2c9f90a258615478', '4fc949359dd32d33', '4c86dd7941950d46', '9645f69ae0681927', '824bd75a1f047775', '55077c16bb911561', '4ac625439e8fd4fa', '7f08ab811c931e53', '040dc3f1487e4d7d', 'c59db35862c825ed', '94034faf0ea1937a', '4c621e01ec8ac45a', 'f6059815a2a1e912']; context = [[21, 101], [19, 89], [42, 126], [0, 55], [0, 46], [3, 93], [3, 69], [20, 101], [5, 64], [77, 159], [3, 56], [10, 84], [25, 82], [23, 95], [16, 79], [119, 194]]; loss = 0.011006 low_pass_filter = 0.300
+Epoch 0: | | 39809/? [7:30:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 39810; scene = ['10f90d9c4a367c03', '7b3e257b238625ba', 'f350794b2c5ff77d', '3cb91e14821b7e05', '085e4359ecce8ec6', 'dbb06d677a5501c8', 'bf716993f39b898d', '6e134a43dd944704', '9e0314ddf81cdcd0', 'e44b389e002db5e7', '472769038b06eac3', '28b29bfd875bf3a6', '4810fdffa87c36f1', '5adbb5c1b466fdcd', '2e5bdbb0f8059c45', '71e569007889ec0a']; context = [[72, 119], [75, 165], [20, 101], [2, 61], [42, 115], [23, 72], [25, 84], [44, 117], [105, 173], [49, 137], [33, 89], [73, 158], [2, 67], [64, 117], [3, 49], [1, 46]]; loss = 0.013220 low_pass_filter = 0.300
+Epoch 0: | | 39819/? [7:31:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 39820; scene = ['ff022319df48586a', 'e6683441e899b7ad', 'c73d3bd74c1973fe', 'e0a88916f5977690', 'a1d8ab6deefc971a', 'e5a612f26db49308', '7dc497c9d9fc9dbe', 'ebe21549c614d5e2', '343a4e21bc309742', 'ba9c1f1d7b31aa0c', '3e07ac19a6be1efd', 'e7bc763f52f6d941', '8d96b0810c1474f0', '4ec56d4d5fd32c0d', '8b584a8dd9618d1c', '3c80b69ca39d44e4']; context = [[8, 97], [6, 80], [1, 75], [47, 99], [27, 103], [21, 99], [6, 65], [29, 98], [167, 212], [1, 68], [84, 141], [3, 69], [15, 99], [9, 62], [82, 153], [182, 267]]; loss = 0.010565 low_pass_filter = 0.300
+Epoch 0: | | 39829/? [7:31:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 39830; scene = ['6ac5014676fde670', '1cfcb6959bfd3834', 'd428826914bed12d', '9d52321034c270c0', '43dc5c8c8859dc3c', '199a9ef5a23a3db9', '4f41b0ce610b9bc5', '341986d27509ff20', '3820cb5d4ed07d1b', '4f169d470b87ffd7', '6cdbcf635b46fa7a', 'b43fed931703ab76', 'bb6af706745a579c', '80df049a2df21988', '2f799acf6bbfcf79', 'e0ca058fbb73495e']; context = [[57, 141], [12, 58], [30, 116], [7, 81], [3, 65], [126, 174], [0, 56], [47, 135], [28, 90], [4, 50], [16, 61], [2, 91], [25, 105], [27, 84], [3, 54], [42, 117]]; loss = 0.011019 low_pass_filter = 0.300
+Epoch 0: | | 39839/? [7:31:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 39840; scene = ['0880d9a3b5075a1d', 'd86035742b47f9c7', '08a29c5d2d185c37', 'e3feedd0d8a763b5', '072344f6360d35a8', '9d40336406cbd2cf', '73dcfeb28e092101', '1f474bfca64a4430', '88520ced9265487a', 'fd9dd0f92a722b60', '385ab81eccafde89', 'cb3c5dd27b9fbac1', '7f2b23815b279b3f', '0225b100c433537e', 'd1e2fc28d67d81ad', 'ad7fa9a94376b1bb']; context = [[54, 107], [45, 100], [18, 102], [1, 79], [0, 52], [6, 88], [28, 77], [0, 66], [22, 72], [51, 110], [0, 54], [0, 71], [15, 95], [4, 70], [6, 89], [26, 78]]; loss = 0.009255 low_pass_filter = 0.300
+Epoch 0: | | 39849/? [7:31:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 39850; scene = ['f7ac4679fb8c22bb', 'ba2cf4bb07121298', 'e37e8c48fc915a0b', '4dfc0af729a8bb18', 'ec3cadce0704357d', '5e4d24795724b02c', 'c0a52256adc1777e', '5733f4920106412d', '7c24aab4627df28d', '7971e8a6e8b14bce', '86706e7bcff2d9bb', '83b8d48dd4198ada', 'ea74cb4771949789', 'ae46c18afc8ab55f', '13b32cb917dc8b6e', '1c9964c74955e91f']; context = [[10, 62], [11, 86], [39, 87], [0, 63], [13, 92], [115, 164], [34, 81], [21, 96], [97, 177], [9, 71], [52, 133], [74, 138], [0, 48], [59, 146], [10, 74], [30, 120]]; loss = 0.011302 low_pass_filter = 0.300
+Epoch 0: | | 39859/? [7:31:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 39860; scene = ['feb37a1baecfb69b', 'c49c716e0257136d', 'b536b0e6d426b566', '426dd580102633b2', 'baf711049daa6d83', 'e1d621f68b89f987', 'e9fa2875aefdb532', '342cf894bcd94642', '4f35c00df91f0fc1', '8c8d275be1d9c9c1', '27c1a03e4474dec9', 'b72e9f8ef1767537', 'ce61ccc4d291fb9b', '0d71795b5a29c8e3', 'df3d9e0d9c57b60e', 'e5b3c987f0c0c044']; context = [[17, 79], [2, 61], [64, 110], [103, 182], [84, 129], [22, 105], [33, 121], [62, 151], [8, 79], [12, 87], [125, 199], [1, 88], [4, 49], [1, 86], [4, 53], [7, 84]]; loss = 0.009708 low_pass_filter = 0.300
+Epoch 0: | | 39869/? [7:31:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 39870; scene = ['4b3c28188059d92c', 'fa89f1fce81582eb', '7f641e956053cace', '52d066afbd70230c', '89614f45fd850d4b', '53b33a6fe970d684', 'bb753c83df751766', '8dca16105b5a73a1', '6bea7eee33dcbaea', 'dd0ebd35e7a477a9', '285a5ff4cd043e2b', 'd5da5339a1e2b2ed', '9b6640a5fd61ba73', 'a034eaa2c3bab991', '55a45d0dd8d2c98f', 'f8b97071c3db77f7']; context = [[2, 89], [8, 98], [11, 86], [4, 53], [16, 95], [77, 127], [15, 66], [208, 257], [14, 78], [124, 179], [73, 122], [31, 88], [161, 207], [1, 71], [16, 98], [28, 75]]; loss = 0.009815 low_pass_filter = 0.300
+Epoch 0: | | 39879/? [7:31:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 39880; scene = ['ce2deab59d936025', '920fab707245ea20', '4f3759423dae2bd8', '3a4c6b8c9f9455b4', 'fcba395df8e2498e', '193fd7844fe703bc', '96e97b817621a36d', '0f54778155d5fb15', '4f7e0130b1068114', 'd9e9cd2134b9d66a', 'dd64afc2f397641c', '1c9d377f12e3bf79', 'dfa9b3fdc5798a43', 'cf7c0bb5089abf7a', 'c379d1f2aa883b74', 'af6f104783d5dd99']; context = [[92, 137], [6, 61], [30, 98], [12, 57], [170, 240], [7, 72], [17, 67], [3, 62], [3, 77], [54, 106], [90, 165], [8, 66], [85, 148], [10, 76], [5, 59], [104, 169]]; loss = 0.009445 low_pass_filter = 0.300
+Epoch 0: | | 39889/? [7:31:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 39890; scene = ['8fcca8a4f0e2877c', '971dd6aed961bf0e', '000e285b03f3fddf', '9cbc2da15fda5454', '95ef183fe01ef0f5', 'f94eea89d7b3b888', '7b93613b1455e530', '94c24d79a85823f3', '91d3ff9286d99d8c', '1f7ec5a77a7679cf', 'f5ce65e9a52c64db', '6c6a9874616bd4f3', '7e4fbd1d49769350', '2997ec72df5bd3b2', '4746597c7f62d8b6', '17487b231252bcb5']; context = [[9, 67], [16, 100], [21, 67], [1, 47], [38, 112], [72, 154], [23, 99], [13, 71], [18, 64], [69, 142], [12, 73], [62, 128], [17, 86], [6, 86], [4, 83], [32, 94]]; loss = 0.010736 low_pass_filter = 0.300
+Epoch 0: | | 39899/? [7:31:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 39900; scene = ['ee3f3bcb1009b7b9', '3cd73f5f79d0989f', '1f9c765582d1ffac', 'cfcadf0fe447c04d', 'b7b3c6a2d1d6dc61', 'd8d2bdf1e73f63fe', '3c3e1619744887ca', '3604d95a480cfe31', 'aa5fd8173f0e59f5', '6e3772dfbac86778', 'db13eec5ac6b1c56', '067ffc09a8292608', '510e05e121226e7c', 'ed981652ad74f345', '3055585671a8da3f', '40d0d59dea80c743']; context = [[32, 98], [14, 84], [23, 90], [46, 91], [65, 119], [48, 98], [56, 107], [14, 91], [20, 85], [208, 262], [3, 49], [1, 78], [4, 71], [3, 51], [108, 173], [85, 136]]; loss = 0.010305 low_pass_filter = 0.300
+Epoch 0: | | 39909/? [7:32:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 39910; scene = ['fa83934d7b66b475', 'd3d59e576e4a4994', '05c29d863074fdef', 'c6e306b85165a748', '3ebe1e839b0db4a2', '968cea950767945a', '40965c5a956f5125', '65bfa207128b0f4c', '236ceca53fa65093', 'e98e3750dd7d6a15', 'b17689b8a65a6efa', 'd68c6b96dd4d2bcf', '28072b33e95ba5c0', '8d7095ce41fde796', 'c7ce5ef449733d11', 'f19b5dda587c3c3e']; context = [[22, 81], [15, 104], [51, 122], [122, 203], [27, 105], [14, 80], [4, 55], [77, 129], [8, 83], [89, 161], [103, 151], [4, 70], [5, 57], [1, 52], [22, 76], [5, 69]]; loss = 0.010275 low_pass_filter = 0.300
+Epoch 0: | | 39919/? [7:32:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 39920; scene = ['8145a4774a6a2fd3', '830cc256a754ed8e', 'bbc62daeaf77bf4f', 'ce7ac9da5348c18e', 'a48acbe4b04dda97', '665d429d01b05d14', 'a10132778a587ae1', 'd2142814c63e8686', '309a175f1e06b80a', '4a92e8a638e8c57c', 'a7c3a68b9b25a47b', '98cb259cd905b8ac', 'f58b10fef6de3ccd', '5da0339960419957', '30a4c264291caa0c', '8a2acc2f183dcfb5']; context = [[7, 88], [38, 103], [0, 52], [28, 89], [38, 100], [65, 140], [125, 193], [4, 50], [127, 182], [38, 113], [0, 64], [10, 74], [4, 75], [5, 95], [94, 155], [54, 136]]; loss = 0.011726 low_pass_filter = 0.300
+Epoch 0: | | 39929/? [7:32:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 39930; scene = ['3527c9327919201e', 'd81254badee593da', '13f9e034ed17801d', '673fbdab349ed945', '184239156b2c35f5', '5fb80ae92d0685a6', '79ac8c1697071605', '021304d1e09c8b5f', '300272f7a17b746a', 'b8b4d4e967b1eaed', 'c44c89003028942a', 'c0bf06f467375743', '773eaab0c764d745', 'a99dc3202017e7ff', '690e51b50279878b', '53078019d1b8b4af']; context = [[11, 77], [15, 64], [17, 66], [4, 74], [51, 139], [42, 118], [2, 54], [11, 65], [127, 207], [15, 67], [33, 107], [51, 109], [9, 84], [0, 88], [115, 182], [8, 64]]; loss = 0.009263 low_pass_filter = 0.300
+Epoch 0: | | 39939/? [7:32:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 39940; scene = ['1938b4028f35687f', '9f7c4b5ca8ee797b', '90c259be0125cf62', '64640ee4ac837e94', 'e88d6bc783b9c74a', '6fabfcc7883ea4bc', '82657a45e8659c6f', '93ae4ef75b0947e2', 'd56c2c0989d530c1', 'ff092f1b478b1968', '22784cd40adaa61f', '02525e607954e087', '870d17d7b9fd12ea', '087818aee1647d16', '1bf0556129bdae95', '86aae4818a6082d9']; context = [[45, 119], [37, 82], [6, 58], [2, 64], [3, 72], [12, 75], [8, 65], [16, 90], [0, 46], [106, 183], [20, 102], [81, 158], [18, 98], [5, 57], [17, 74], [89, 164]]; loss = 0.012309 low_pass_filter = 0.300
+Epoch 0: | | 39949/? [7:32:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 39950; scene = ['96a72c23cc148c1e', 'af662abc8d684583', 'ab6cf8dbf75be791', '3530f6b502c4870a', 'f05d3d6ad73a0308', '828e898c133cf87e', '4ad86d4540f00a8c', 'b0d843ba835f493b', '6a2138b2b639f9fb', '8420ff3c64b30c99', 'fbd2c20f5033d7d8', '5689c9983b642392', '1f1e2bbb82d871d6', '11b07c1ff511c097', '61fb7783fff731c0', '4b9f648daf5a382d']; context = [[19, 72], [111, 198], [34, 115], [162, 246], [10, 94], [2, 65], [140, 223], [33, 113], [3, 90], [9, 64], [23, 82], [141, 215], [3, 91], [23, 113], [204, 254], [2, 48]]; loss = 0.010828 low_pass_filter = 0.300
+Epoch 0: | | 39959/? [7:32:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 39960; scene = ['a907466e93b043b3', '03efa181c819191c', 'c66b61d7b4321a7f', '66b694fe836f9b02', '85eec96037fb49e4', 'abba67b06f58671b', 'd66edca2b7f5d7e8', '2a47c55e0192a848', '07a5fe80f25f8a79', '30c5f73f51e9d378', '0f9b44ae51221943', '7f53eedebd3fae2a', 'd4a8c8940a309380', 'e088974b4405f213', '725eaacaafc27d0b', '1fc3d3e70c446606']; context = [[96, 162], [9, 97], [1, 48], [0, 77], [3, 54], [8, 53], [5, 50], [40, 125], [2, 58], [33, 120], [30, 85], [16, 66], [27, 108], [14, 71], [8, 91], [23, 72]]; loss = 0.010436 low_pass_filter = 0.300
+Epoch 0: | | 39969/? [7:32:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 39970; scene = ['f14dbb2243b1fac3', 'd8a8dc110167ff23', 'f0ad94005844908b', '0c8d8a68736d158b', '6679553589e68811', '9b5b0457cd0a1fde', '5a2953008c747c2c', '87b9c2954fe05751', '97efb1c9d012a89a', '206c406cbb54c9d6', '3f439ee888325de4', '45fff92461a9cae0', 'a5755fb377071cda', '714c3dc97fac769a', '10c8704bb6745b6e', 'c173b9087fb4126a']; context = [[61, 139], [56, 105], [43, 92], [5, 57], [4, 71], [5, 50], [69, 139], [46, 127], [22, 68], [7, 84], [149, 212], [0, 55], [41, 90], [34, 81], [135, 184], [3, 71]]; loss = 0.010031 low_pass_filter = 0.300
+Epoch 0: | | 39979/? [7:32:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 39980; scene = ['75840717ecdc2325', '21691784e9e84e35', '89d2c2d9e3aee457', '6f3b47cc1831979d', '334f192d01193f36', 'd5788ecb38219348', '81124fd6dfc66253', '6131f8c669e8060f', '706571cd6a9c16a4', '6d88accab8099498', 'd24a77552f5d1e72', 'fb93194f2d98089f', '8e6304e5675e43c8', 'ad76b8a71e226efc', '5b793e7daeff4390', 'f4a8f55651b1b8be']; context = [[8, 73], [2, 82], [30, 107], [24, 84], [22, 91], [35, 115], [14, 59], [74, 122], [84, 159], [8, 95], [11, 77], [180, 264], [16, 65], [3, 48], [17, 63], [63, 133]]; loss = 0.009922 low_pass_filter = 0.300
+Epoch 0: | | 39989/? [7:32:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 39990; scene = ['6cd738daee326500', 'd1f43e65f28ce3c8', '0825ae880bd3922f', 'e4169ebd4ebb1035', '737535b2deaf95e5', '450a8009cd7801f8', '8aa5ccddbcba09de', 'a7b6de0edf8b5430', 'd326bfbbf5581ec7', 'a0323e6cfefa3aab', 'b1d0300a26f2b3d7', '8e0a13fe11111b79', 'bbca804a517e6761', 'a7045b13eef794d1', 'c6fa11aa48b3c933', '073e687120bf353d']; context = [[24, 81], [60, 140], [4, 54], [5, 69], [0, 81], [18, 99], [9, 78], [6, 62], [37, 126], [3, 61], [1, 50], [1, 80], [121, 182], [9, 78], [0, 58], [66, 132]]; loss = 0.010359 low_pass_filter = 0.300
+Epoch 0: | | 39999/? [7:33:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 40000; scene = ['7756f38f665b6069', '0ae58aa19818b174', '9b91b65722716f0d', '3d35045d9acd8376', 'fda14bdc251f7866', '5390abb4147a0035', 'be32cdc488ce00c8', '104b4e0db94e667d', '883829eacd223cd3', 'e6f3acdbe3c6ec77', '34160faa9ea64eff', 'de5c7c6d409b1972', '39559d661f746739', '432bbc60a010b15e', '4514a5c68e922b2e', '34dd90f74228f1ce']; context = [[56, 122], [9, 67], [27, 87], [9, 77], [29, 112], [16, 79], [100, 148], [7, 66], [118, 167], [0, 56], [113, 178], [34, 107], [2, 92], [90, 137], [1, 51], [2, 60]]; loss = 0.010706 low_pass_filter = 0.300
+Epoch 0: | | 40000/? [7:33:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0validation step 40000; scene = ['a40e8321989a05f4']; context = [[24, 78]]
+Epoch 0: | | 40009/? [7:33:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 40010; scene = ['3975666832e5ad4c', 'b41ece74dd5aa87d', 'd1ef42d624a95717', '2084683d8f4f7078', 'a4e0a5d505358390', '93b0d5f4f00f5971', '12dcff965389b09e', '283389655c3f1483', 'e0e41af517c97c32', 'c9c1e2b910019ebc', '34cc043eac727166', '8bf4fe01a15a68bb', 'eddda29a27d55c83', '736d4b798beb0a35', 'af3a65a2494dd781', '6cb4ac9555d8dfb2']; context = [[9, 54], [2, 60], [5, 51], [7, 82], [0, 47], [8, 62], [48, 115], [14, 73], [2, 67], [8, 68], [107, 153], [1, 66], [8, 82], [15, 90], [49, 132], [19, 71]]; loss = 0.011924 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 40019/? [7:33:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 40020; scene = ['5b64b5760c7503f3', 'e54719c9dbecbac1', '56a3cab917fb2f23', 'dd086087400ad408', '58275614cf462346', 'd412ad2f6f4b6e07', 'a17f93139405f229', '7e5005dc1c3df373', 'e58a3f8dc3c3d1a5', 'b48966a0343e587a', 'f44c8d1713e71373', '09e512be1e27393c', '09989abefdf386f1', '82a5978dd33be41c', '57282e8799c666da', '843822ab52831c17']; context = [[4, 64], [13, 100], [152, 238], [36, 83], [2, 90], [17, 90], [123, 212], [26, 87], [20, 81], [14, 60], [1, 69], [2, 76], [4, 89], [71, 121], [89, 143], [17, 88]]; loss = 0.009518 low_pass_filter = 0.300
+Epoch 0: | | 40029/? [7:33:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 40030; scene = ['18e36552c4bd047e', '2463d599a3a85278', '87e226c85ecc330e', 'f5a9f0d1b2bcf821', '2285965899520b4d', 'd2fe9517cb9179f9', '0b8615515af26142', '9baf7af601a97b2d', 'e95157a508d02a96', 'c9fba70bcf4d476a', '6fb0338f8e7b7f9d', '398dbb8cbc0f82a0', '8c36ce2987991993', '312e0e2bf77a6dcd', '523cf0953b144d3f', 'b7eb5219c8161446']; context = [[6, 53], [15, 63], [1, 48], [66, 138], [16, 95], [15, 80], [20, 82], [40, 103], [28, 102], [29, 96], [65, 155], [42, 119], [6, 80], [196, 253], [72, 120], [29, 86]]; loss = 0.010086 low_pass_filter = 0.300
+Epoch 0: | | 40039/? [7:33:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 40040; scene = ['fc91bb2b1617d9d9', '713b4264c0e50db6', '60ac7d5bfa839dec', 'a1af7a5b9d69b1ae', 'eb2becccddf18213', '54ebd66fdb8ea8d1', '85b47098a2719390', 'de2e5e6b67f0f839', '1bbae9efd3ab5f9a', '702321e02e868bb3', '70510cc2d237391d', 'b1c4d70d8078acb5', 'ce63205158d1f694', '82b8fde17b54a3f5', 'ecb694088ae78f7d', 'accb755285389002']; context = [[49, 105], [36, 104], [6, 56], [0, 66], [2, 62], [115, 175], [8, 54], [8, 53], [93, 166], [7, 66], [85, 154], [78, 132], [11, 69], [0, 69], [86, 162], [119, 176]]; loss = 0.010212 low_pass_filter = 0.300
+Epoch 0: | | 40049/? [7:33:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 40050; scene = ['2482d2f8a6a0d6ff', '9e6f038db016e16a', 'bc1cf0bfa3d4c6e3', 'fb92eb30e26882b8', '64d99794e597251c', 'eef123055b3c48f5', 'cd6cc36100bcb831', '7a7a6e420122259d', 'fdea0d77c74e62d8', 'd6676525b3a8b508', 'fa3d7ea00b62e8da', 'c34efa1505a0cfaa', '9ebc32522a5d6bfe', '9b26bb403d1d515e', '88b54484f742e069', '4fb40dc3a4716a0a']; context = [[101, 189], [3, 60], [41, 129], [47, 128], [109, 170], [94, 150], [6, 87], [6, 68], [5, 53], [45, 119], [102, 191], [35, 113], [18, 94], [57, 106], [1, 61], [60, 146]]; loss = 0.009603 low_pass_filter = 0.300
+Epoch 0: | | 40059/? [7:33:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 40060; scene = ['d811b8f5953a9b62', '03a4047c49065b31', 'c78363372eaa6b51', '0691f3bd7ba0973d', 'd63160ea8db69f94', 'ebf2ad60f1f00ee7', '4d03b4a228109602', '91b548615aa3a6ea', 'a6d7ad61aadbc7f1', 'd8d76c5a94df95f6', 'ae8604a4d90f2274', '05e57498aeca6d81', '449002ada2ccb247', 'e5545e30f772706a', 'cfcb5dc84a930779', 'fa1e78f4c605baf6']; context = [[2, 53], [48, 124], [9, 95], [14, 103], [2, 89], [63, 135], [9, 84], [12, 66], [27, 89], [21, 89], [7, 54], [99, 152], [0, 78], [110, 162], [21, 111], [44, 89]]; loss = 0.014889 low_pass_filter = 0.300
+Epoch 0: | | 40069/? [7:33:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 40070; scene = ['6a274b8bb4d422a3', 'efd3ca549d038fad', '5c59da280310df57', 'c484654b88b52c11', '346727f21be2942c', '1e4386d32ed7e8aa', '3653999b060232ff', '91cbcbb9265e8357', '9ce391fc1fec85bd', '1ebed7a736c390cb', '84b1a75990da41c8', 'f7f6647e5733d3fb', '1e483388c44e927b', 'a3436e3b6d289dcf', 'b7910be2e79e221f', 'ca2f347f5185e4cd']; context = [[41, 90], [109, 172], [118, 164], [12, 70], [17, 98], [52, 131], [9, 87], [1, 53], [6, 58], [64, 131], [32, 83], [37, 99], [3, 49], [96, 161], [91, 170], [38, 86]]; loss = 0.009779 low_pass_filter = 0.300
+Epoch 0: | | 40079/? [7:33:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 40080; scene = ['e81941e5c1fe55cb', 'd9dd6e0b1550b1ee', 'eefdafedf732e5b0', 'c74969cf2d6052dc', 'f1eae9bf3eb4bbbf', '8fba4dda8330a838', '9734a6ac6851402e', '21d5589de63e3aa3', 'f80859e8c15ef7a6', '2e1683f4a3d685f6', 'ebbc7470ea8b3b47', 'ab025c320810e5c6', '47166c905c357e7f', '1720bc14eb54a419', '6f2584adee7412d6', '21f0b62cb5810288']; context = [[1, 78], [52, 131], [136, 211], [2, 53], [0, 49], [61, 124], [47, 95], [2, 47], [2, 69], [2, 83], [82, 128], [6, 71], [32, 105], [15, 105], [131, 204], [64, 110]]; loss = 0.012153 low_pass_filter = 0.300
+Epoch 0: | | 40089/? [7:34:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40090; scene = ['9651f5e8192c6ce7', 'dafe4fbc82947a40', '876a49fd60e9f34a', 'de137923eba18ca2', '025a7502ca9a1e7b', '8fed63c4d0bc7a2c', '592feeb20bc84cb7', '1f3cc35366700ee4', '8861e06664d052a1', '58727127092e350f', 'e1ae6d3a294ddcdc', '834947156a227a06', '53c9804b50ad99ab', '4748781f185e7376', 'dbca37f95c1d9d32', '393cad5031f75f17']; context = [[8, 90], [7, 84], [80, 162], [20, 84], [30, 96], [23, 70], [196, 241], [114, 195], [167, 219], [16, 99], [0, 68], [0, 62], [7, 92], [31, 106], [31, 95], [93, 179]]; loss = 0.011599 low_pass_filter = 0.300
+Epoch 0: | | 40099/? [7:34:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 40100; scene = ['71aaf67494c15541', 'a9be936ce1c3dcfb', '672d0bc9c604fec0', 'ca1e4b3a2e0ecc01', 'd9effdd73ed277c5', '7daff376c0f8bb2d', '246fed0a9b054ee5', '2a70bb9827ef6e47', '45c4109dd630d30c', '6a4f9df3e53abd9f', 'e88d5253019ba9b1', '44622d3502746b3f', '19d96b6971317c11', '23f62714f8f083e3', '0d9483dc76901c4a', '4a7cdb52e115a287']; context = [[23, 75], [42, 96], [4, 71], [65, 128], [68, 139], [33, 117], [92, 165], [113, 178], [5, 75], [79, 168], [17, 69], [55, 118], [3, 50], [4, 63], [94, 172], [5, 82]]; loss = 0.011020 low_pass_filter = 0.300
+Epoch 0: | | 40109/? [7:34:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 40110; scene = ['45c36cbc30b2dedf', '3fd051acceb87333', '498aae6952e2e0ed', '75f9aaf96a2cfbfc', 'e69b2e2b9909e847', '8bd7c7d5d956e70f', 'fa037f2a55450c9c', 'b13c91ea8f5f8796', 'd8d663fa411e9d83', '5b0a79367da2b1bb', '3c26cfffc84d7f05', '1d98f8f51eeb0b35', '19ce63f02fd326bc', '51f77212038ce127', '669f7951fd537e6d', 'afae3a1f503aa2a6']; context = [[0, 73], [22, 74], [18, 93], [81, 143], [37, 107], [10, 55], [43, 123], [14, 74], [1, 63], [0, 69], [11, 65], [26, 109], [7, 64], [17, 79], [136, 222], [3, 59]]; loss = 0.010059 low_pass_filter = 0.300
+Epoch 0: | | 40119/? [7:34:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 40120; scene = ['356cb2eda655b967', '6d6b71042cb11255', '646e226b3273506c', 'cea25fc17ec9cf53', '4da5d0ad927bfb10', '5c0bc82c30577aa6', '583731a36ed85338', '92c9c24bacf4d6ee', '4a5c30a0d83cb220', '5f02f8ed9e9c36ed', '097dcf41471c991b', '3000b088e47a2af4', 'f1d7fe98bc4a1f74', '3ff347bd894962d0', 'c273fcb8b4944e49', 'ae8f3eec2c35f2d8']; context = [[41, 96], [142, 191], [3, 72], [8, 82], [42, 95], [9, 57], [67, 144], [79, 128], [46, 124], [156, 221], [40, 97], [19, 68], [0, 73], [70, 122], [42, 87], [124, 174]]; loss = 0.009614 low_pass_filter = 0.300
+Epoch 0: | | 40129/? [7:34:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40130; scene = ['5f19088fcdebb2c5', 'fd736740ea4abcc7', '398387e65925128a', '65cd58dfb9df8a99', '4188a5e607ad1fb9', 'd9f4d087b09b5361', 'e2101e24b745e35a', '87ddb273a2668496', '05f3364c68280447', '80fdcecdeb194bd8', 'dc3fe6f0dd9c89fc', '968e4bc6074896ec', 'bf8d7d53329bfcde', 'a210d76ab2d20a1f', 'fc504639d23d4991', 'cd0b540ef134b6e7']; context = [[34, 117], [1, 48], [8, 70], [105, 189], [27, 111], [5, 71], [68, 115], [158, 239], [80, 138], [4, 52], [10, 81], [30, 86], [56, 145], [41, 111], [37, 116], [52, 112]]; loss = 0.011847 low_pass_filter = 0.300
+Epoch 0: | | 40139/? [7:34:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 40140; scene = ['9f62a023f2d748f7', 'a8f16a0f9e66da3a', 'dbcf7e96dd9449e7', 'a39de974d72b88b3', '6f4f54d89383e1ba', 'ae9b392cb1d7be26', 'ce638637eab9cbb2', 'fe05283c708c2589', 'c31c5aec6ca52a0f', '2a28036d98f5a42d', '2d41ec8c58a78215', 'a7344e0356bfba18', '70e09b2da21c935c', 'd378db422fda516e', 'd32f4d396f08bddb', 'e8c96df4cc444126']; context = [[171, 220], [42, 129], [7, 57], [30, 85], [154, 237], [63, 153], [1, 74], [110, 185], [195, 256], [4, 81], [20, 67], [64, 146], [0, 74], [0, 56], [49, 129], [55, 137]]; loss = 0.011400 low_pass_filter = 0.300
+Epoch 0: | | 40149/? [7:34:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 40150; scene = ['3ba79e4a3499b7bc', '2bf30153b26e2060', '2b83ce9b23c5ab7d', '814f74b9c3c4d094', '5a040cbc8d351ff7', '0a609dca037e83a9', 'afc970648a89e04a', 'd729044c166a455f', 'bf37ac6cc15e90c4', 'ed1510746de8198f', 'dddfc77781886a81', '25f8fa5f70fc3819', 'dec153e8b722d2b3', '6f37d76aa601bf66', '2178a852fea5c59c', '9672bf2513953ed0']; context = [[23, 71], [47, 136], [10, 60], [7, 57], [159, 217], [6, 77], [76, 162], [16, 69], [18, 96], [23, 82], [6, 84], [61, 110], [34, 98], [15, 76], [65, 147], [26, 110]]; loss = 0.011132 low_pass_filter = 0.300
+Epoch 0: | | 40159/? [7:34:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 40160; scene = ['3d30b440244efcd5', '112ee2bd1c2b61cf', '823a32785927191a', 'c84a3d02144472e6', '214621bc4a448f70', 'c9f4fa78c5198a38', '0645a0441a9553e9', 'e2b9fe93917b4294', '3b7a2b88d554d67b', '5d66f5a1eda7f0b9', '11b0941f789a29b1', 'cd7187c5ac3ae71e', '183b1507a812513e', '81f8c3d21285d1cc', 'badc05985bd9d737', '7a03c6c69a883bac']; context = [[7, 77], [18, 86], [15, 61], [6, 76], [96, 146], [30, 96], [4, 49], [136, 182], [36, 103], [31, 95], [18, 70], [80, 127], [48, 137], [0, 46], [75, 136], [70, 116]]; loss = 0.012223 low_pass_filter = 0.300
+Epoch 0: | | 40169/? [7:34:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 40170; scene = ['4fb40dc3a4716a0a', 'c34efa1505a0cfaa', 'd310ae67e900586d', '94662e1320792336', '856cc0ade40a1c89', '3e10a47a93c8fef0', '5058a979977a4184', '4f5f5fc918464b4c', 'e390cddc191190ef', 'ea34ca9533790620', '44d8cb6fbc7d70cd', 'd9f535c4c69d09e1', 'e310312ac1b4af0b', '4352f5ecbeaf4b69', '81e453158009b57c', '580df111f223d694']; context = [[76, 126], [45, 115], [5, 50], [101, 181], [4, 60], [201, 255], [39, 87], [14, 64], [35, 80], [13, 83], [42, 119], [1, 81], [74, 154], [170, 225], [152, 202], [40, 116]]; loss = 0.012442 low_pass_filter = 0.300
+Epoch 0: | | 40179/? [7:35:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 40180; scene = ['93db1dea76cc6be7', '8a74fe41cc22b9de', '25786ffb7c104704', '0694fc542e3f6de9', 'd38ceced483801a7', '76363422d829a5ea', '25f2eed8482f4efb', 'f7adb9b80aeb99ee', 'df3eae6c62deb55a', 'af018f37a5cfffcd', 'b9150a0deb480f1e', 'fee7f9e43a85aaca', '7f1444750fc50ba8', '9a4c0bb938bd7c83', '6d93e8f7923b4d70', '752a2c0964a92680']; context = [[3, 49], [44, 90], [7, 53], [168, 253], [23, 88], [45, 130], [94, 152], [54, 122], [2, 58], [93, 182], [13, 83], [18, 73], [61, 140], [29, 93], [87, 134], [60, 140]]; loss = 0.008362 low_pass_filter = 0.300
+Epoch 0: | | 40189/? [7:35:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 40190; scene = ['e914556d29e28202', '854643bc2ff4062d', 'beb7827e8dfa81d5', '9314910c4a43508b', '8934e5efeca5b032', '16af37ee77aeaae7', '58388d76b62c5fa1', '4cc6fa6dc966f1bc', 'a313b7aa3720f375', '4352f5ecbeaf4b69', 'dc11fe3737ec6ce9', 'e310312ac1b4af0b', '580df111f223d694', '81e453158009b57c', '9095922ae071f31a', '1f2fe0d464f61de0']; context = [[9, 68], [7, 57], [107, 156], [169, 221], [21, 74], [2, 49], [13, 64], [73, 126], [39, 84], [81, 167], [65, 130], [89, 148], [32, 121], [194, 260], [3, 67], [23, 113]]; loss = 0.010639 low_pass_filter = 0.300
+Epoch 0: | | 40199/? [7:35:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 40200; scene = ['b7f27234151e6a90', 'b416246bd5fc5f87', '4891029da61b40cd', 'f11fe1599236dd8c', '78abe4c6652298aa', '715b259ea9988c79', 'b1fa7e90e6eb4a8e', '6a1f10429ae1bc45', '7e80f5c644d84caf', 'bf7db154feb5eb9f', '1dd657d729988154', 'b66b5fe75bc57149', '9d0293f0ed846ad1', 'c6e6dfe41bab8eb8', 'f4a0716baf89c85a', '74e0443fbbce9f58']; context = [[7, 76], [5, 92], [47, 98], [1, 85], [24, 96], [56, 106], [8, 74], [31, 118], [0, 83], [1, 56], [81, 168], [138, 217], [17, 79], [23, 108], [7, 71], [182, 268]]; loss = 0.012565 low_pass_filter = 0.300
+Epoch 0: | | 40209/? [7:35:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 40210; scene = ['4967b75401615e71', 'a80f9fb86b6b84c3', 'c94cf15b6b2c0cbb', '9a627851326f1285', '0f80349efadcafcc', 'b8acc0dfb0bc4b1e', 'ebf2a11f815fa2f5', '8c174f21bde778b0', '31ba36328f5e0f9a', '5b0d6c1647214139', '4a9f133fa50069b4', '538fac0821f2f815', '84156a96d99cea83', '2aac042a0d362f0b', 'e191c3d4ea711568', '6dfa6c612f9209f5']; context = [[3, 68], [92, 138], [1, 49], [131, 194], [59, 124], [34, 82], [10, 61], [112, 176], [48, 125], [77, 130], [3, 70], [78, 127], [185, 275], [16, 101], [47, 94], [28, 90]]; loss = 0.009632 low_pass_filter = 0.300
+Epoch 0: | | 40219/? [7:35:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 40220; scene = ['0a74c47b593ece1d', '0910106e8f16ddd5', '5f45abde2f26cca7', 'd71019be54a08db7', 'ccc47e61ed316fdc', '652a39baa0e151ec', '9ab0ecc80a10e445', '6332f7f499f99c67', 'a479cc83e258dc1c', 'ba5ca3690fdd8da7', 'a0df9a0b37424a6e', 'e77c01e0ab1921c1', 'fb774f1f577b648d', 'ef7ea43291e530d6', '844bfbdd9595723b', 'd256260f2a5aea8c']; context = [[0, 46], [42, 95], [19, 76], [1, 53], [11, 85], [1, 72], [5, 54], [174, 246], [26, 85], [28, 83], [31, 83], [1, 72], [19, 99], [60, 106], [160, 208], [22, 89]]; loss = 0.010007 low_pass_filter = 0.300
+Epoch 0: | | 40229/? [7:35:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 40230; scene = ['5c61be9113ab38be', '886c8489dee57871', 'd382ab655e3bce78', '3660cb810808a4cf', 'f896af9301f43f0a', 'bbe918789666cc17', '0f1770edc4686804', '661c9d87c961a0e3', '0ea34d96c88e77b8', '356065de0851f6fe', '6800182ce64325f0', 'f842fc3a048073e6', '519e791a79112caa', 'b1c505350a76d200', '664ad76c825a89a4', 'c7c3770350b9d958']; context = [[67, 123], [38, 87], [0, 47], [106, 158], [22, 68], [8, 73], [1, 53], [4, 75], [7, 69], [0, 45], [37, 121], [11, 74], [41, 126], [25, 70], [0, 45], [11, 65]]; loss = 0.008722 low_pass_filter = 0.300
+Epoch 0: | | 40239/? [7:35:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 40240; scene = ['3b64aa64e8f04465', '7980d31b18da69a2', '82ac4e44bae63290', 'd6f4a941a42c6eac', 'a88722d900d57a48', 'e8185a3649c3de14', '5a0599afb3968bf7', 'd44505ec46c78195', '547dec9fc8a486aa', '737f19eb418ef107', '469851b0a8d554c8', '50321b969aeed936', 'bc9ed05d37d20268', '0d2286f126b83312', '9757e5d3f5898474', '563209f8f6fa0856']; context = [[20, 104], [19, 65], [3, 54], [22, 88], [75, 164], [14, 62], [110, 161], [1, 55], [9, 76], [6, 83], [6, 73], [10, 72], [103, 168], [0, 83], [80, 161], [15, 93]]; loss = 0.008362 low_pass_filter = 0.300
+Epoch 0: | | 40249/? [7:35:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 40250; scene = ['68c86d2d09836cd4', '704ce38139b35265', '399913e2933f1d8b', '08a730bc775840ca', '36a94283bd372f47', '6db124ca077ec757', 'b8f036b876113a2f', 'fd2f750a2fb4055a', 'fccd2ce3b04593fe', '5914b1859a79ba29', '7640a98e2a577007', '82d49340adc62a9e', '3d8df97f0ddd375e', '9e7127fac4cd1710', 'a348e7e5d35e62d4', '8dd9982d07e06ad9']; context = [[9, 71], [89, 174], [45, 106], [8, 57], [12, 57], [4, 81], [87, 165], [18, 89], [7, 79], [171, 219], [62, 107], [48, 138], [11, 79], [151, 199], [53, 123], [12, 66]]; loss = 0.011723 low_pass_filter = 0.300
+Epoch 0: | | 40259/? [7:36:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 40260; scene = ['4f6d6041434a7907', '55f8874f8fefa4ed', 'a3eab4d5683d9c31', '674df255653c2010', 'bc773d762e6fbe06', '71de6eb329cc96bd', 'e8c5fdad60e58a8f', 'd1749b42c2b6082d', '7157a08b4d909e22', 'b373737df3e74477', '95b37383d90fba88', '9aad28b8c911c8e4', '2ba6db31b81feaf0', 'ab000b4f32ced111', '1bb36d50ab9fd353', 'bbdb60e0097e9ced']; context = [[53, 139], [98, 159], [76, 130], [5, 56], [36, 98], [6, 75], [59, 133], [76, 152], [14, 98], [8, 73], [33, 114], [56, 136], [20, 101], [34, 92], [24, 113], [10, 96]]; loss = 0.012418 low_pass_filter = 0.300
+Epoch 0: | | 40269/? [7:36:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 40270; scene = ['f527e84d7a5badd7', '9a5208ac9e7f1b35', '371208b680e4bd21', '640d1657e5c1aee7', 'aaaddac8b8c2cd2a', '52124f430b389332', '5a01722fb09b11c3', '72986e81e936632c', 'af08406c5a9a43a0', 'c145af26faeee75e', 'c573fd7fe1c40eb3', '9c38e122200779bd', 'c9dd64b7415e788e', 'd1762bb31381a1a5', 'f4eaf85b1b54c9b0', '66c10f6fa1fc6012']; context = [[10, 84], [27, 80], [11, 80], [14, 99], [36, 88], [93, 160], [0, 86], [23, 74], [73, 120], [8, 67], [64, 115], [196, 268], [8, 56], [5, 84], [5, 61], [19, 100]]; loss = 0.009559 low_pass_filter = 0.300
+Epoch 0: | | 40279/? [7:36:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 40280; scene = ['0d93117304b2c328', 'c1b6e10c20d99e06', 'b6c050a85869fbab', '6f22c617870a2aae', '41bfde5305c81839', 'c938cdcb831e024b', '07182819a3f6a9fb', '25566dbcbdb9d453', '4e4bd2a7244f34b6', 'd0e4a11f9aa906cc', '70a331f9fcec9d43', 'f36f99cf29f3be44', 'bcb35fbe47324395', '8195e86be5549d7f', '6f5935c4967852ef', '08659bc98e27705f']; context = [[24, 79], [29, 110], [38, 90], [0, 68], [72, 129], [6, 76], [19, 65], [44, 110], [202, 247], [0, 88], [39, 120], [3, 91], [4, 50], [1, 50], [25, 70], [9, 85]]; loss = 0.008212 low_pass_filter = 0.300
+Epoch 0: | | 40289/? [7:36:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 40290; scene = ['643cf013e58632bf', '6f8d38fe084f7ad5', 'cbfe1854f623ed74', '2636e6766e692274', '70d878da47f984e4', 'cb171c3ee0bb4bc7', '23e164d4f8460f5b', '661d62ef157db4a3', '56d65d47fd196d68', '632fdd68fcdced28', '2e6b4635f05514db', '7c880b1e35f46b25', '94ebd32f2e11aab3', '809ed0f3759beef9', '313aa9c0ac8065f6', '878c7766a4a02e7a']; context = [[14, 82], [0, 46], [51, 97], [2, 68], [163, 228], [0, 61], [181, 233], [37, 90], [32, 101], [87, 161], [22, 90], [8, 87], [104, 190], [196, 245], [25, 106], [1, 48]]; loss = 0.011981 low_pass_filter = 0.300
+Epoch 0: | | 40299/? [7:36:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 40300; scene = ['4e95c589e42fee51', '4627387578523c1d', '9d0fa815d5127e96', '6fa131a2fa829df1', 'bf70ac416939f544', '9304b1e911c2829e', '0e11b0852a47d75b', 'c5aed9e5140a93de', '27b36126898f7647', 'b3c1b70f6c68629b', '033b9a4fb9b7c2db', '3a158a1cdbddebcc', '6dfe41d46d841142', '397e9da33cc41440', '7694f69099715be2', '77ec536967a90c82']; context = [[45, 99], [0, 59], [58, 111], [0, 45], [57, 108], [3, 58], [25, 114], [39, 94], [80, 151], [8, 61], [62, 138], [40, 119], [12, 59], [122, 195], [26, 115], [85, 175]]; loss = 0.011282 low_pass_filter = 0.300
+Epoch 0: | | 40309/? [7:36:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 40310; scene = ['0f59670e4a9ba4ad', '1af13fa31de17e0f', '4b03ceeccf23ab01', '2c37b4aa102fcb10', '94eaf5be2556470b', '5ff62b81e127cc0a', 'c3130fed2437a498', '88a42a724cbefb57', '4845d1d4cf79ba47', 'd6fd3cc56301f094', '0315e41f172fd12f', '01c2018ab9fca9bb', 'ebc5a6bd55511e51', '804c8a7e019f74c9', '7f13d0519277357a', 'fdeb338cf4c3ce7d']; context = [[0, 53], [22, 79], [17, 106], [69, 132], [137, 191], [109, 178], [81, 144], [14, 93], [46, 107], [24, 100], [9, 94], [56, 116], [190, 265], [108, 156], [7, 86], [4, 54]]; loss = 0.009140 low_pass_filter = 0.300
+Epoch 0: | | 40319/? [7:36:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.0train step 40320; scene = ['920d92758d18c7d2', '6185ce362d4ae1d6', 'a802441c288b598f', '280d6636eae33dd3', '84dd6be769a13042', 'd7afba0f3ab5b579', 'f7d839262e5cc647', '93598ff73741eb47', 'd9ff7a8b9114dbcd', 'f79a6334f7f97c04', 'c0019ff8afeaf1f7', 'a3e68f2a6b87063c', '90da26a5b04b69ed', '4774761aac769b05', '05326bf187de954b', '46fa4e4e3b142efd']; context = [[5, 91], [8, 69], [30, 100], [56, 127], [26, 72], [17, 81], [42, 87], [57, 147], [8, 57], [8, 56], [2, 71], [23, 101], [7, 79], [8, 96], [30, 99], [18, 93]]; loss = 0.009864 low_pass_filter = 0.300
+Epoch 0: | | 40329/? [7:36:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 40330; scene = ['b3a83fbbb2c0b81b', '332db302db18a6b1', '9720a52405835b98', 'cb17ff92309f6c21', 'db97b11381863147', '0eedfd3367866a18', '58fd1e2aa6aa30fb', 'dd61e223f3c5ea1c', '244c5fecb741efb7', '2cdc01af65ca2471', 'd3f8da499f7d99a5', 'a377fc8d36db3a31', '7e8176aa3b32a068', 'd9c82874e9d58447', 'b9fba012acc2a3b6', 'e21290652231e775']; context = [[19, 66], [0, 90], [15, 95], [20, 72], [50, 136], [2, 92], [99, 187], [126, 188], [164, 244], [27, 87], [16, 87], [74, 124], [61, 107], [2, 60], [2, 47], [17, 98]]; loss = 0.011328 low_pass_filter = 0.300
+Epoch 0: | | 40339/? [7:36:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 40340; scene = ['51d79c5142e1a325', '878bc34ce9a5c2b0', 'e0091fd81f0ce93a', '40d398cb0fb84bf1', 'c54bfe167a0e4773', '335a90126c68ec87', 'cb400c50ad429f45', '241a367e7f124257', 'f727b968f8aaec7e', 'e458f0d06334a2d3', 'feef4e3a0d101f5a', 'b204577ce9893435', 'f7d91f705d469f6d', '79bde1fcb9c993da', '258b9d79b1f313fd', '7518471605dc8aa2']; context = [[25, 70], [2, 71], [46, 128], [93, 163], [14, 88], [72, 117], [44, 118], [4, 68], [22, 96], [4, 62], [32, 79], [42, 96], [7, 62], [1, 67], [53, 98], [0, 70]]; loss = 0.009128 low_pass_filter = 0.300
+Epoch 0: | | 40349/? [7:37:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 40350; scene = ['b03df4c4382500a8', '4be78a34f5d97b64', '8094d6a3dfd3333f', 'c34baa7a466d6f17', '191d93d539d59e6a', 'e9066f9a8c2aa1d1', 'd2e8cf4e3a7c7091', '5398df70fa449fe6', '4395c655707708d7', '4208223d5fca136f', 'dea0ecb2d7c064ef', 'f5bee2606e50f3a4', 'da557a6ffdb660ed', '5a6f0d61f1e3b83b', '0ee964a8a9ecd576', '7dd925c36cbbbbe1']; context = [[19, 88], [7, 75], [27, 117], [61, 108], [163, 209], [2, 85], [3, 70], [6, 60], [50, 106], [7, 55], [190, 267], [109, 181], [0, 45], [38, 114], [62, 128], [8, 62]]; loss = 0.010321 low_pass_filter = 0.300
+Epoch 0: | | 40359/? [7:37:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 40360; scene = ['ceb3122d87675b21', 'b338db97a0e41314', '1dd019d6ab775183', '4088226cf84d6641', 'aa5f0f9be3bd3b2a', 'f5d8869e103670b2', 'c4e12df63403eadf', '63a59b6c50bf418a', '8e94de9c1bc0732c', '3e10a47a93c8fef0', '4f5f5fc918464b4c', '94662e1320792336', '856cc0ade40a1c89', '5058a979977a4184', 'd9f535c4c69d09e1', 'd310ae67e900586d']; context = [[5, 89], [0, 47], [20, 97], [115, 204], [19, 79], [2, 57], [41, 94], [37, 126], [38, 95], [13, 93], [16, 73], [85, 152], [15, 69], [66, 123], [12, 59], [8, 68]]; loss = 0.012161 low_pass_filter = 0.300
+Epoch 0: | | 40369/? [7:37:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 40370; scene = ['462bfd1b62b6cb54', 'a77535785a79e60a', '9759e7755e825784', 'e4230c118f07c919', '6a06b29373391c2a', '2004d220029debe9', 'af273a69275eafe8', '57b5268c98e7308f', '26f28a50f0267b3e', '5376bb67b77e8b59', 'e626cfbe73b265ff', '963b4755148b46f0', 'a142901b8a2421ed', 'e228a6735eb00c28', 'bf757b6db55a034b', 'b737264f3104f28a']; context = [[32, 79], [15, 69], [26, 75], [208, 271], [16, 69], [40, 88], [92, 180], [20, 103], [144, 204], [0, 51], [1, 64], [2, 86], [65, 144], [13, 61], [24, 97], [5, 64]]; loss = 0.011509 low_pass_filter = 0.300
+Epoch 0: | | 40379/? [7:37:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 40380; scene = ['9c4ed2cd8353b8c7', '4b6f368238db6ba0', 'b8709511255b1c76', 'ea4914670ba6d0e9', 'ff189499a6ed28d7', '6c6276a02a533e71', '5fb3bf2facd499a8', '64274f67bc885707', 'ce57b9ebde2d907c', '377453fbb03976e6', '118e5ed190ff89e1', '6c9d30f8078cabd2', '3748e22aebddc113', 'e34447ddccfc88ff', 'd2874cf14e0f0ce2', '0777b711796daee1']; context = [[35, 124], [0, 47], [24, 79], [1, 67], [16, 69], [0, 45], [4, 59], [6, 81], [3, 49], [2, 63], [24, 82], [32, 97], [0, 77], [39, 87], [3, 68], [6, 71]]; loss = 0.009409 low_pass_filter = 0.300
+Epoch 0: | | 40389/? [7:37:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40390; scene = ['4ad89ebda1a41a62', 'e28ffd2fc4627268', 'f6b63e20382a6052', '224077c8876d132b', '17d8d9419cdc2d4e', '00eead9faebb6daf', '2209341e8bd65dc2', '7de2ca731a4af54d', '90af47b784746da8', 'c2b8b3e74c64553a', 'cb089fc0fae599b5', '7aca142562284e3b', 'af94d397bb39a345', '7e8630a890a85545', 'f5f5c6090e031091', 'b266226a3d237e80']; context = [[19, 80], [43, 103], [104, 161], [2, 54], [14, 80], [73, 155], [26, 100], [39, 98], [10, 93], [16, 62], [3, 50], [80, 138], [94, 163], [40, 111], [0, 56], [56, 130]]; loss = 0.011575 low_pass_filter = 0.300
+Epoch 0: | | 40399/? [7:37:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40400; scene = ['31bb52556c508299', '8033aa6c2010ee73', '83c57fbb2624304a', '6bf457fb2e24516d', '9d812fb06c8d197e', '323fa8deac25071a', '49b11eddf04b5620', '5b6fad04865aa615', '1f08a54b3d9787f9', '598f5f9c57bceafb', 'a18f380bc7a49015', '7c43c1873e535409', 'c840e7ad87fcf5d6', '78062689dc99739a', '487e1751e169b2fe', 'ec570f8328cd4104']; context = [[16, 104], [13, 58], [1, 55], [60, 127], [30, 85], [51, 108], [1, 49], [63, 118], [70, 120], [2, 64], [65, 134], [123, 198], [30, 91], [47, 129], [17, 79], [117, 168]]; loss = 0.008331 low_pass_filter = 0.300
+Epoch 0: | | 40409/? [7:37:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 40410; scene = ['1663112dd64c920b', '81ee268730f0cfd4', 'd9590036ff6fd866', '257e2910b28b2b2b', 'd4a804c9d4003fec', 'c1b1ce01476efc00', 'fffbc37fba7b5ec8', 'efb5900246c11cad', '8c7200b306fdf9e1', '18152facf0d07c56', '8059bc76d9f034c2', 'dbcf7e96dd9449e7', '9b44d7f7f1e76dda', 'c9c9a2028bc5e37b', '6f097566ab5011da', 'dc844d908c631b63']; context = [[0, 77], [21, 71], [3, 66], [4, 60], [3, 72], [0, 46], [4, 77], [90, 147], [1, 75], [7, 97], [0, 66], [1, 61], [41, 106], [59, 117], [0, 84], [100, 187]]; loss = 0.009378 low_pass_filter = 0.300
+Epoch 0: | | 40419/? [7:37:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 40420; scene = ['87b9c2954fe05751', 'a5755fb377071cda', 'b16abc4d67655cb5', '206c406cbb54c9d6', '3f439ee888325de4', '10c8704bb6745b6e', '714c3dc97fac769a', '4385a3b16d321702', '27b9b6d8520b476c', 'ec9f85b999210b88', 'f0680c43c5c34858', 'a0e621ae35148a18', '28da1359e6e9937d', '1c50722fddad9593', '51df571bb0616703', 'a00596889eff80ec']; context = [[28, 92], [24, 82], [33, 83], [17, 72], [19, 77], [93, 175], [15, 72], [1, 56], [153, 214], [111, 199], [90, 180], [79, 161], [194, 245], [26, 91], [16, 65], [32, 101]]; loss = 0.013976 low_pass_filter = 0.300
+Epoch 0: | | 40429/? [7:37:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 40430; scene = ['760c626fa583ca58', '2643d60a731e5d92', '4994aabf6ecddf13', 'ed9d715df2eed57d', '1c84e33ec928d7a3', 'a897a9a9dd1e252e', '03fbcd2f324b9946', '0dfbccbfd1f98e92', 'ef77f5e4ef9e62b6', 'a770c86f2059dbef', '08e0627969b8514a', '0d9643db1fca8e9b', 'cb721728aa3c15de', 'eef16f49751028f7', '2843579651f9596e', '4ede83a5aea0010f']; context = [[26, 100], [43, 92], [5, 50], [43, 108], [6, 83], [31, 85], [0, 70], [141, 217], [15, 82], [26, 82], [24, 85], [1, 47], [3, 84], [8, 88], [6, 80], [0, 65]]; loss = 0.007948 low_pass_filter = 0.300
+Epoch 0: | | 40439/? [7:38:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 40440; scene = ['8b19c78df2dd7e46', 'ea02fbd66994f682', '011096d6cf0ae11b', '3010ed17e38d9071', 'd281c7ae9754972a', '646dc19a503b1957', 'aabc6d31aaa4b84c', 'c1f2337f62ad3576', 'd9eee6476fef03b4', 'a7da6e77dce63eee', 'ebf748806e739219', '6d60fc0409f9546f', '16e23d8cd26eda21', 'f4fd1fee2a8f69ee', '9ee134a1e5088732', 'fec8d1d17a6a994e']; context = [[7, 64], [8, 55], [60, 124], [53, 100], [5, 75], [42, 87], [121, 168], [0, 78], [152, 228], [23, 82], [6, 79], [56, 103], [36, 124], [88, 152], [2, 60], [60, 142]]; loss = 0.010608 low_pass_filter = 0.300
+Epoch 0: | | 40449/? [7:38:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40450; scene = ['51a634a44dc01dd4', 'c270572a7f5ea828', '7432f21de1ef4c33', '4e87d89c2b4138cf', 'b0ae260af883656f', 'd011c2b2ac6ccc0d', 'f14721fab585c585', '8eb11b08983f5781', 'ccf546f5a8ea9cfc', '89182bbf4b3f1b98', '50a38c69abd2a064', '3e5be5ea98eca2ec', 'f27d1a7efefcd420', '1096d576fca73995', '8532e67cc838fd57', 'f86b62c904dff358']; context = [[92, 138], [13, 91], [65, 152], [47, 99], [8, 71], [24, 83], [1, 76], [12, 57], [220, 277], [62, 114], [30, 101], [12, 61], [117, 186], [26, 96], [70, 145], [4, 63]]; loss = 0.011139 low_pass_filter = 0.300
+Epoch 0: | | 40459/? [7:38:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 40460; scene = ['eee29372ebee12be', 'a96317dd55e483e3', '60459f0cce3e9054', 'fa2751abbfeec05c', 'd640cbaaa1460e97', 'ecb6a4daf8bb0073', '871167c9a17766ac', '60166774c095377e', 'cdd496a409f6a97d', '8883b081c8df25f8', 'df21d07338b42a94', '13c9ef02d8471d4a', '15483fcbb279e05f', '048590d3ea1d642b', 'a9350d2f16427797', '87c2f3e5a29bfdae']; context = [[98, 157], [156, 228], [2, 59], [90, 168], [8, 54], [9, 73], [184, 255], [3, 67], [5, 69], [60, 119], [11, 78], [43, 92], [1, 57], [163, 227], [30, 95], [24, 111]]; loss = 0.010489 low_pass_filter = 0.300
+Epoch 0: | | 40469/? [7:38:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40470; scene = ['12a8561544c97948', 'b6974cc96a02e9e6', '7043e8afce176c8c', '4e69d635ba8e495f', '9a072cba9997acf1', '9f911b9edb921010', '916572369a42b51b', '05efd1fc549ed5f2', 'ff5a148b852949ec', '94f20b7d0165bdbc', '490710a2cacc8268', 'dc340f8aa416f839', 'b915146b10f26355', '3485e4776717068a', '7f60555b6995c522', '25a35d6bb3d58a7a']; context = [[25, 115], [3, 76], [16, 79], [9, 56], [1, 89], [46, 113], [99, 155], [50, 127], [57, 140], [6, 57], [166, 233], [5, 85], [88, 149], [8, 64], [4, 50], [18, 73]]; loss = 0.010381 low_pass_filter = 0.300
+Epoch 0: | | 40479/? [7:38:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 40480; scene = ['6ad2c9d5fc760ae9', '7fb9d2cac9a0af5b', '71843776b11430dc', '199f106987c4164e', '6f75c58b5f9de5fc', 'ca7339faa02aadb0', 'fa858bff135c195b', '207f58822ac86628', 'd1330eb904da306a', '2d05c89759d6f1c9', 'bf0e2d3e9c2df580', '9fc7da7f2d71386d', '6383b0ca64518455', '0ada6fc4284b7559', '2e5338ad01391b6f', '13fd68bb0100ad1f']; context = [[77, 156], [85, 163], [3, 50], [43, 120], [0, 80], [81, 138], [76, 126], [193, 264], [42, 99], [18, 68], [43, 122], [23, 92], [7, 93], [97, 184], [41, 121], [4, 49]]; loss = 0.010829 low_pass_filter = 0.300
+Epoch 0: | | 40489/? [7:38:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 40490; scene = ['dff6e57bcf52850b', '9a2ecd82a5084f01', 'ec6d32b61bd26167', 'a3416994d313fdb3', 'c42c6d551c4c4d62', '398ea56207849e42', '57ea5883b42d1a76', 'e5ef6dfdcbcf430c', 'fe2df6a236f5bc79', '0c4ad6f7363c6dbd', 'db2bc7f10561a5d0', 'ca39898dc82ac69d', 'd725f58a68fccddb', '9b016b455aedd9f4', '84ca721f253dde85', '4db07c5caae67701']; context = [[44, 106], [11, 60], [162, 223], [14, 68], [96, 152], [7, 78], [2, 88], [10, 82], [0, 77], [188, 266], [113, 174], [98, 157], [1, 90], [12, 59], [213, 271], [102, 167]]; loss = 0.009055 low_pass_filter = 0.300
+Epoch 0: | | 40499/? [7:38:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 40500; scene = ['580bbe2141b9e6e2', '775b82d34796713a', 'b23d97a750c719ee', '188eb86b0baa1531', '338ce7509f071f4a', '4b148538b0785a5a', 'dec8847e03333be3', '5f1fbee3e97e7470', 'b10e2cfbec255d44', '60531462424bd617', 'ecbf048504e09969', '90c1483c736e3b41', 'd7fd0247a853f44b', 'dccef2390d0b6851', '795b958ce87d556a', '965f0970da310cda']; context = [[1, 63], [52, 129], [5, 74], [25, 85], [39, 103], [31, 104], [97, 181], [1, 47], [2, 47], [26, 91], [13, 72], [21, 98], [22, 111], [219, 273], [81, 127], [18, 87]]; loss = 0.010905 low_pass_filter = 0.300
+Epoch 0: | | 40509/? [7:38:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 40510; scene = ['0ff6e59952a084e7', '2232cce71fc99952', '156a99bdda94ab15', '7944997c5cc8d4a3', 'a4e1c1a1fd21c031', '1e2db9c385736612', 'd9d387021859984c', '10a912a578eab6eb', '9182eb6535116035', 'c72e5c5b93465fd9', '6c588b310610da28', '07d45f8aec3ef9d0', 'cd9a2a66101702dd', 'd4bd67622f4d47ad', 'f788136c098c2df1', '11c2ad3eea536668']; context = [[9, 58], [2, 88], [11, 79], [62, 138], [22, 100], [115, 180], [58, 121], [36, 106], [197, 243], [74, 138], [0, 86], [0, 84], [33, 116], [2, 69], [1, 47], [6, 75]]; loss = 0.013255 low_pass_filter = 0.300
+Epoch 0: | | 40519/? [7:38:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 40520; scene = ['dffc33139384124f', 'fa49dcd1794436a9', '1af152530e6445e3', '299b743eaf266969', 'c876c627af7786cc', '356b98ea4de24f44', '01321f09ccc0ba50', '7159e040bb4a1617', '4d45a366bcfb2824', '14af89bdc75382ab', 'fcb1af0ebe6926c7', 'fc8deaf763806c66', 'bd077bfc739857cd', '467e6cb4bcb7fc53', '851ada2e51906f3c', '90bdc80baa33848a']; context = [[119, 170], [13, 99], [180, 250], [74, 152], [85, 166], [3, 48], [8, 78], [5, 93], [34, 81], [1, 70], [11, 62], [0, 61], [62, 149], [1, 59], [11, 85], [138, 191]]; loss = 0.011551 low_pass_filter = 0.300
+Epoch 0: | | 40529/? [7:39:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 40530; scene = ['be13212a82b93b85', 'd189eb4b6fd8a3f7', '9b016b455aedd9f4', '84ca721f253dde85', '333d47c166aad666', 'ce52e2bf6dbb72d7', 'a829ffde6c53aa8c', '5e62a890cb5a023a', 'f497c3291a3d7a10', 'ab36eedface7b474', '0cc8f2797b38bb96', '7cfb911c40da361b', '4db07c5caae67701', 'a05f322adda6b100', '81e94d78e4044500', 'd8e17f025062f4f1']; context = [[2, 51], [7, 79], [20, 66], [94, 164], [16, 70], [8, 53], [4, 52], [145, 214], [71, 119], [11, 89], [63, 120], [8, 59], [185, 230], [0, 45], [6, 83], [17, 64]]; loss = 0.010274 low_pass_filter = 0.300
+Epoch 0: | | 40539/? [7:39:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 40540; scene = ['af4b3d516b5f85fc', '782748eae1b15a68', '0a6360859aae1c7b', '7083621671d01c4d', 'e8f6e95b1ed22c4c', 'd725ecb952a8a20b', '32167640fdbb1218', '9a0e50df2c86aaa2', '78d79279965d940d', '3c23951861654d1e', '50d4d41bdd05529e', 'e028a26891c2937a', 'a57d7e5785d46fea', 'd500031220ed505d', 'b00f502f468fa5e1', 'af3899e50afdfa9f']; context = [[25, 88], [15, 104], [0, 56], [41, 89], [79, 160], [1, 83], [2, 79], [48, 132], [9, 66], [43, 90], [142, 191], [9, 59], [3, 49], [0, 65], [28, 73], [24, 71]]; loss = 0.009772 low_pass_filter = 0.300
+Epoch 0: | | 40549/? [7:39:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 40550; scene = ['9b51df4f8fb857dd', '9d97c645bebcd1a4', '7bf6bf856323ad9e', '33416d034542277a', '04af3750947a687f', '3f45f9ecf32805f6', 'b69975c3fd6c9bf6', 'e2f3157c10aa655b', '4b1ace7056c3ef7c', '5357eb29cb81b3fa', 'aa2c714ead9d4071', '5dc337c78c9c2f4e', '312bff60ce38cd77', '1df539eeac09987f', 'fbc7417c49f03ebd', '604629605df53513']; context = [[190, 275], [97, 177], [7, 54], [4, 59], [83, 148], [4, 70], [34, 88], [28, 108], [7, 82], [15, 71], [86, 131], [17, 64], [20, 68], [63, 113], [1, 46], [101, 183]]; loss = 0.009252 low_pass_filter = 0.300
+Epoch 0: | | 40559/? [7:39:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40560; scene = ['85ee0fc26f209eac', 'c0fbb9bf7c8826fa', '70622e192e7ee17d', 'c6ff95c0d520def6', '08037bd2a08cfbcb', '27c7362a27f418ef', '50c5d11d48ce6ea3', '17078e61ee975a4c', 'a8f7946996aa6d67', '796f21c742920e47', '36f938158d4cde4d', 'da622e4400f54e54', '42a6c835ff830674', 'a5c03b0c5fb7203e', '13ef9d843af0eb46', '169f09c33ee35289']; context = [[43, 94], [39, 99], [0, 53], [15, 87], [8, 54], [2, 47], [10, 68], [0, 76], [28, 110], [87, 149], [31, 100], [2, 54], [1, 81], [9, 83], [5, 84], [16, 63]]; loss = 0.010901 low_pass_filter = 0.300
+Epoch 0: | | 40569/? [7:39:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 40570; scene = ['4a0419479a29e5a7', '7aee80abe39c7d03', '07916b8004a8e336', '869ed5a2a273e8fb', 'bbbae78d877d5312', 'bbbaa99ab329087f', 'a40fea86a599c60e', '89cc333342232a19', '63eb524e44eeafbb', 'aa24838f16305995', 'ce72473f822a7431', '374db1b7332138aa', '4c3e1a9242e4bb83', 'a5812ef0bb0bc156', '422d26887c24af8f', '2c0d8c978ddbfb77']; context = [[12, 95], [41, 125], [28, 82], [1, 50], [6, 61], [10, 66], [6, 88], [37, 114], [10, 67], [2, 82], [68, 148], [151, 203], [49, 127], [4, 56], [123, 193], [190, 249]]; loss = 0.011100 low_pass_filter = 0.300
+Epoch 0: | | 40579/? [7:39:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 40580; scene = ['7d3be97db6025753', '72a143742fde6395', '9e511f66516b17db', '599f80ec8db49f3f', 'fd2442595faa2d01', 'efb590fd4b4eb0c5', '176290ff95c16e3f', 'e3e2b1c90271d8e3', 'a65c18f99fcf5f82', 'fd5aa11dc66a75c3', '07e15647254b6cab', 'c3bbcee94ab6ff1b', 'c94cb4be652f013a', '7173e6107342f9bb', 'e2eabf4e6e9c8fff', '26c1372d50e49c83']; context = [[43, 97], [4, 56], [87, 166], [11, 63], [3, 52], [3, 76], [11, 71], [72, 135], [23, 75], [87, 146], [2, 74], [61, 107], [1, 76], [7, 56], [1, 83], [42, 117]]; loss = 0.009394 low_pass_filter = 0.300
+Epoch 0: | | 40589/? [7:39:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 40590; scene = ['5b8e80b9b14fb5fb', '0e26579ccb4998cd', 'd4017d748d48fe77', '5fb6c59c4a7c68ac', '4955a2d36a82973f', '89fc915d613ff37f', '1bff8030b749eede', '7c49c2308203f69b', 'eca81d6ee5fbf8ee', '614f6a3fc7936f47', '5f6ae80e58f6f518', 'ab27c3f931ba3513', '63c13551f24f416e', '45112304ee4c0c76', '03686e0744810c79', '9dbbebf435a6c9fe']; context = [[1, 77], [0, 85], [20, 72], [50, 136], [8, 91], [30, 91], [87, 148], [136, 192], [77, 148], [6, 51], [27, 113], [67, 132], [0, 46], [7, 54], [1, 52], [17, 75]]; loss = 0.010117 low_pass_filter = 0.300
+Epoch 0: | | 40599/? [7:39:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 40600; scene = ['f158f2d611e892c2', '8bd1355a3c06d06e', '500c43d0f0558034', '9ad8c7f6b7e9e5e6', 'a34af0c26cb1ee8c', 'b4aaa00674c63884', 'e423c2db23c80588', '81e8ff39a3a00839', 'dbb08ee9016eb60c', '1b489b12c4f54d95', 'ba570f646fc389ac', 'b7d6204f7458d4d6', '24d90f30c52e7229', '77994f2a243e4c9f', 'a5ae0f5f2192dd47', '402b81bf14d1de68']; context = [[168, 217], [4, 74], [41, 120], [21, 71], [88, 169], [72, 120], [1, 83], [29, 114], [71, 145], [17, 101], [12, 64], [19, 80], [2, 70], [51, 121], [18, 70], [2, 47]]; loss = 0.011530 low_pass_filter = 0.300
+Epoch 0: | | 40609/? [7:39:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 40610; scene = ['60987a40ad6c73d8', 'e799c5c0b4f26e3b', '5c5694be61ffb755', '0027e46f749ac7ec', 'ae2494640cbc0678', 'b38453d092cb760c', 'fc5f909a6e21d8fd', '2fcc80596aca14cc', 'c235beae7f32275b', 'c4f04d00df876c55', '3d571ac9d490075d', '9452b026b0d20cad', '8b1b695c79061c29', '19d0ab2aa711ec3e', '74a8f11d5d29aab0', '4777dc29a1d20c7f']; context = [[15, 68], [80, 135], [35, 94], [30, 117], [42, 127], [2, 91], [63, 136], [14, 89], [57, 127], [149, 196], [3, 83], [25, 72], [61, 137], [10, 67], [1, 53], [113, 180]]; loss = 0.011434 low_pass_filter = 0.300
+Epoch 0: | | 40619/? [7:40:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 40620; scene = ['e2c09e4204bba297', '1979410f58bcec2f', 'ede9b4704e60703b', '6e8f51c971a54b1f', '3e9af8bbf5d448cc', '771b9ab514763b57', '0b7bb37506071244', 'fba3ed30e62af988', 'da5109c41d416893', 'ae5d2c4b438a407b', '95752980cc4659db', 'ac9824f3ecc45ff2', '001c43a59a9e0b16', 'a356dab14e5662de', 'ea30bf8a65e93961', 'd1c6899b6c6ef917']; context = [[45, 121], [59, 107], [60, 105], [12, 74], [8, 98], [0, 84], [21, 77], [154, 242], [0, 73], [8, 95], [2, 72], [23, 86], [106, 156], [0, 56], [2, 50], [64, 153]]; loss = 0.008911 low_pass_filter = 0.300
+Epoch 0: | | 40629/? [7:40:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 40630; scene = ['47beee9ab9369688', '4559d0f58931cb1e', '672f1b3aa09b1c07', '5e209d8394fe9a43', 'fee25a96058554b8', '87b929c2b7b88c5a', '11c5bb54d738e840', 'c9fd47052ffbb2e6', '60f5e5607086c08a', '72a33dddf16c6f4d', '4845388530a74505', 'b0d028f08185a675', '0546b901d6b75353', 'f99aafb53f76f519', '2a97804c2c08b819', '8a992755a8cf4051']; context = [[30, 94], [23, 82], [8, 69], [7, 86], [18, 83], [189, 268], [94, 148], [32, 118], [8, 60], [56, 127], [4, 55], [39, 97], [2, 78], [0, 66], [93, 151], [42, 126]]; loss = 0.009339 low_pass_filter = 0.300
+Epoch 0: | | 40639/? [7:40:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 40640; scene = ['78abe4c6652298aa', '1e8650f2ad2469bb', '21b266c3d59a9973', 'f8e1c32284e7c88b', '4891029da61b40cd', 'b7f27234151e6a90', 'ee619cd24ce15a86', '6acee38e5863fde6', '9c56e31b751255a9', '56863fb499e2ff9a', '3727bb4b44708f89', '76b4366351bc4102', 'c8cfb09f212bf6c8', '287375b8ee068546', '726026f195188079', 'd938c73738634cbf']; context = [[58, 137], [14, 59], [14, 61], [10, 99], [8, 78], [65, 138], [8, 57], [0, 62], [40, 105], [30, 111], [39, 86], [5, 74], [66, 112], [14, 89], [1, 89], [34, 82]]; loss = 0.012651 low_pass_filter = 0.300
+Epoch 0: | | 40649/? [7:40:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 40650; scene = ['05661e760ecdfa96', 'dde547bc5456fdcd', '2374bc3470d48b9f', 'da4f6bfe896bf2fe', 'eaf7c66419fde6ad', '64199c57dfb3dc4e', '5036537ac2e39315', '96e895a56fe2a34e', '1c92d53dec160984', '88938961b84f2cd7', '56c780409feaf822', '7d9f0a9a5c3551e2', '861f0019d5fa65b1', 'd440a1d79e21c351', 'd486ec050db8bc95', '55a45d0dd8d2c98f']; context = [[28, 75], [1, 53], [0, 49], [40, 122], [7, 62], [34, 79], [45, 122], [18, 64], [127, 192], [47, 123], [167, 246], [13, 66], [15, 62], [116, 189], [3, 83], [35, 121]]; loss = 0.011516 low_pass_filter = 0.300
+Epoch 0: | | 40659/? [7:40:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 40660; scene = ['78517c2f01fb6a1a', '4b4099c29345fd2e', '1160b234bca769f7', '1d5d2ff5c922e173', '1d037447cfff7209', 'ee91e9f8cc43c212', 'b3574acd3997c5bb', '28921269daf6dc5a', 'c97d0f5fbaaf615d', 'def6c462813743ea', '5fe433edd795adfb', 'c79300dcf820a440', 'b4b4807fc6898e5e', 'fd7b3e3396405640', '9776817798733916', '8ce9ec38e3d7f76c']; context = [[19, 101], [19, 105], [0, 64], [22, 72], [98, 182], [3, 74], [142, 193], [39, 98], [32, 79], [3, 78], [11, 59], [25, 73], [44, 115], [17, 89], [19, 93], [41, 130]]; loss = 0.010614 low_pass_filter = 0.300
+Epoch 0: | | 40669/? [7:40:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 40670; scene = ['a79054ed0016c14d', '04f74c373f362ae4', '968b80d41cc680bf', '3c83fd3a35d752d2', '1430c0b497805b81', '73feda788b1d336c', '3dbee8e87fa74203', '70d551fa7ba6141a', '83e9851439ff997f', 'b153eba06a4a7099', 'b99c46a1570d3911', '38f373203dd7db5c', '3163b94a6d8ffcfe', '60593e41bbbbd0e9', '9212f92c5f6db4d6', 'e2795d1f30fc69b4']; context = [[2, 79], [40, 102], [93, 156], [98, 165], [0, 47], [0, 53], [15, 76], [23, 70], [1, 80], [15, 63], [0, 60], [2, 92], [24, 106], [19, 94], [22, 69], [8, 82]]; loss = 0.012916 low_pass_filter = 0.300
+Epoch 0: | | 40679/? [7:40:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40680; scene = ['31cb89dbe9488278', 'afb4a26225da2319', '24d11974691da7da', '07d62dd06d7d3b10', '6cd5b0c2949e17e4', 'c80291ff8936a10e', '3667c847c4f69add', '37e6ad4caa7f9e37', 'd15af59d414280c5', 'c2b1745072bce1ef', '0f5392e04bb19f8c', '7102d9010349a215', '813050433c8b20bd', '0df8d4e3cd5241e6', 'c2a0b337dfce828a', 'df5695b1d749fefa']; context = [[5, 52], [11, 79], [7, 76], [219, 273], [187, 250], [19, 74], [204, 264], [202, 259], [177, 267], [94, 149], [144, 193], [46, 120], [21, 78], [5, 54], [33, 120], [0, 64]]; loss = 0.014405 low_pass_filter = 0.300
+Epoch 0: | | 40689/? [7:40:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 40690; scene = ['66955f2887af5a9f', '86f9daf0ed9c7901', '8e60a3c602d2470f', '2b02c5424369025d', '07eae4841b2c900b', '20cb4e811caa397c', '4353a602b8632521', 'd93dbd6c7758a61c', '7c9b792d56888acd', 'cd7a7f57c55038b9', '2b7d488bda993d57', 'cf53d87ab9557801', '29f20f745483699e', '6dc467961a80bdfd', '0c2c68a63c6abd0f', '345208e1ad0a1f4e']; context = [[8, 61], [28, 94], [12, 100], [1, 79], [36, 82], [4, 56], [3, 78], [15, 104], [54, 131], [5, 76], [0, 54], [35, 92], [39, 96], [16, 85], [52, 129], [141, 220]]; loss = 0.010549 low_pass_filter = 0.300
+Epoch 0: | | 40699/? [7:40:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 40700; scene = ['6e265cfc58ee5e9e', '82f673da64c6dd27', 'aa1cb2f298b2a0df', 'c35f0dfaf6507d58', '5661f1f6f25b227e', '50f06676dfe7dede', '73382c0b5120aabd', 'd066040e500bd58b', '87c9128b943f1b3f', '7e7b53917bcf337b', 'd1772c09b4b6d95f', 'd7ca14c855d58875', '0066ed3711a7240d', '629f07baec1cbad5', '0f0bbb6510ca3018', 'b07a54eda9cdaccb']; context = [[2, 78], [54, 106], [3, 64], [3, 84], [83, 162], [1, 63], [17, 69], [1, 47], [4, 74], [165, 239], [0, 72], [135, 217], [8, 98], [202, 251], [12, 64], [31, 103]]; loss = 0.010678 low_pass_filter = 0.300
+Epoch 0: | | 40709/? [7:41:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 40710; scene = ['7a0cb96230343062', '62c2edc48b267fd5', '46ae6f33316dbb7c', '3d2c547f7bec4c73', '8a2120eb135875aa', '9ba0f4168b2d242a', '7e5b418ccd14e32a', 'ee908f5ea8bbbc86', 'e12ccd28d49f666d', 'cf5b1506adcb6135', 'e113005fe37132e4', '1e3071384cdeaa3e', 'fef14a80de510898', '3f5e297ec24429f9', 'eeb7b882f1c6ef45', 'eccb0e9a51453bd1']; context = [[21, 101], [13, 58], [90, 146], [28, 92], [65, 155], [2, 80], [0, 84], [18, 71], [1, 60], [5, 83], [3, 67], [9, 93], [2, 53], [9, 69], [41, 115], [16, 82]]; loss = 0.011374 low_pass_filter = 0.300
+Epoch 0: | | 40719/? [7:41:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 40720; scene = ['b4bde0068fe7af28', '6faa8a388e0dd2a9', '2727fa34d2241ecc', 'a0a6cc4af28f401b', 'ef8677a5404a270b', '178db7cc64cc5726', '5df5b7738e92dce6', '21a783ae4c599ed2', 'f89dd1b50b7d853e', '113bfc07b50ce2d4', '8f143f06559309e6', 'd2d3474ebd2be7e8', '26df5708ad6e414d', '68fe4c264682a4af', 'de13992d44e86ff6', '18ed5f9e86797748']; context = [[33, 96], [9, 68], [30, 82], [13, 74], [29, 92], [16, 61], [22, 98], [6, 68], [1, 86], [9, 84], [26, 105], [0, 53], [17, 74], [2, 47], [89, 141], [7, 68]]; loss = 0.009110 low_pass_filter = 0.300
+Epoch 0: | | 40729/? [7:41:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40730; scene = ['52ae99c76fa1395a', 'ccefd472a28ef3be', 'b900e3ccc4af394b', 'fff5c6b9222f5afe', '52060a4cb66b23b1', '1bdb1a3b250b814b', '2ff14d476e031ed0', '288ad5f87ea47b7c', '8e5d0fd1f5a66f83', '861b8ed2af3e8dd6', '334dafa3bf6fe7d7', '15f55eeb49f9a158', '93cf8f78beba9be1', '651950d4a7456c3f', '633cbde95abf1b3a', 'c82123c129f8fe06']; context = [[25, 82], [0, 46], [85, 165], [79, 168], [5, 78], [3, 67], [32, 118], [38, 115], [18, 66], [211, 268], [26, 76], [45, 127], [35, 122], [8, 83], [24, 89], [11, 74]]; loss = 0.009454 low_pass_filter = 0.300
+Epoch 0: | | 40739/? [7:41:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 40740; scene = ['94c8f1c6ee33001c', 'ddc351e8ca2cd299', 'e452811140e730af', 'fc46fa9bcb31d151', 'ba5f37a10c6dd859', '3d4952a1e8289a7f', '6b503257ae05df64', '936cfb94d0fa2d95', 'c54a9bc3c2a962cd', '78439ac06504df45', '057c338b658d2c6b', 'c177284557cac835', 'd8572a43b047b30e', '230f1a4b17cb49cc', 'e0bbf0c641a19362', 'e266859a380b328e']; context = [[14, 78], [152, 216], [2, 50], [118, 174], [21, 99], [7, 77], [169, 238], [0, 72], [122, 192], [40, 92], [0, 52], [133, 190], [2, 80], [57, 118], [43, 88], [12, 59]]; loss = 0.008299 low_pass_filter = 0.300
+Epoch 0: | | 40749/? [7:41:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 40750; scene = ['f94badaa12bf80cb', '66b0bedbd87eb6d4', '5dac5439a266d383', '895ca8e07071abd4', 'a120150644ae529a', 'b82808040252571d', 'b9ac53cf1cd3f4e3', 'e967a875e94bc523', '3d5a986156f92892', 'cdcf8ecbde39db10', '58694b5c16496ad4', '7577c75286a36d1d', 'bce0d3092c742885', 'd4c1ca9db3ae248d', '0e5ff441f61f8ea9', '8bc4be24233cbdf9']; context = [[0, 65], [68, 131], [5, 50], [130, 176], [3, 72], [123, 172], [6, 81], [107, 183], [5, 81], [26, 75], [11, 95], [44, 103], [6, 93], [50, 130], [18, 67], [106, 190]]; loss = 0.010816 low_pass_filter = 0.300
+Epoch 0: | | 40759/? [7:41:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 40760; scene = ['8a0a93588ccdfbd3', '4f3e8718190c20dc', 'fb7276f92ad63407', 'fdac21a86c2a1ef3', 'd3711836cd0fac50', '5064ce9e88bb3f39', '7b95b1f65f0d8687', '0300f87d2ff368b2', '79590833b9df5558', '8e9d9dc15b1707b0', 'da3e37eecbffd10a', '41b343385bcd830c', '2ae43ea35e770eb7', 'e18e70c8df6d6592', '9b8fd789ba8b27ca', '73211a2450692b43']; context = [[112, 161], [13, 97], [96, 164], [7, 96], [16, 90], [16, 86], [159, 212], [25, 84], [5, 60], [17, 64], [5, 78], [65, 143], [31, 90], [2, 91], [97, 144], [48, 114]]; loss = 0.010504 low_pass_filter = 0.300
+Epoch 0: | | 40769/? [7:41:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 40770; scene = ['2f66a0b10f4cfdfd', 'd029278cfa60deff', '5fc275a365d27e01', '368b3473d60b6385', 'be7a580fe9665300', '768926bca273960c', '741ebac263e5509b', '031f129ff5a92a4c', '0b3a9c304d2aca3d', '03489f334856d47a', '45f3a4d8c751c287', '64f7269d99fdaacd', 'e02e0c84614d4150', '8aa531490595fc1b', '3691359ea56c00a9', '2264c570151d3eb1']; context = [[90, 156], [7, 69], [45, 92], [1, 73], [6, 56], [0, 66], [161, 221], [2, 56], [87, 152], [2, 86], [76, 135], [18, 97], [16, 84], [6, 65], [0, 49], [34, 110]]; loss = 0.011303 low_pass_filter = 0.300
+Epoch 0: | | 40779/? [7:41:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 40780; scene = ['8c8d275be1d9c9c1', 'b72e9f8ef1767537', '27c1a03e4474dec9', 'c49c716e0257136d', 'e5b3c987f0c0c044', 'baf711049daa6d83', '426dd580102633b2', '0a08efb286b97b9b', 'd69dd8917d2e2142', '7d23814998002eaa', '9a6c343fec9da347', '21498fbe61ca3974', '84d357fb13b45975', 'cfc2dff63bf01958', '4c01186382ecdb09', 'f139ab06e65c3762']; context = [[13, 79], [32, 88], [172, 256], [4, 61], [37, 109], [82, 145], [164, 236], [83, 134], [14, 69], [8, 53], [47, 92], [17, 85], [36, 85], [8, 67], [57, 133], [36, 89]]; loss = 0.010466 low_pass_filter = 0.300
+Epoch 0: | | 40789/? [7:41:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 40790; scene = ['c4f26243a134fdf2', '67e8fcf460a831c9', '367cd4834464c305', '3bcb40b1f0995144', '8107536fcadbb39b', '649c81d80ec01c3b', 'e6441dbfed825f03', '0b15419859947894', '7d900c809e896e32', '14032e27d5868321', 'c0740961ddca5c98', '677e8ff48506dc49', '81d9554ed347307c', '7a471a0c4fed1464', '4f56e3a668cd9856', 'e705e9ebe38e0f37']; context = [[56, 119], [49, 128], [2, 62], [8, 87], [5, 71], [108, 167], [89, 136], [95, 165], [202, 273], [16, 104], [8, 76], [97, 146], [36, 110], [103, 151], [7, 61], [8, 62]]; loss = 0.011203 low_pass_filter = 0.300
+Epoch 0: | | 40799/? [7:42:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 40800; scene = ['b8d9b237d3131022', '7f81444be57714a9', '16c8838c274625d4', 'b94b9c4beda6f0db', '760e5634a2d20b4f', '05bd93fee1f2ceaf', 'fcada92f8efeceb5', '7f502417702829cc', 'f47fb729fe708d84', 'f9ad1148fec61ff9', 'b94ba0428cebcce8', 'eeb0e35b62021a9e', '7175d6d6e0e136fd', '5dff6c5a1714832c', 'b47700a41a540d57', '585022f8552afb5d']; context = [[198, 272], [54, 99], [4, 73], [18, 70], [1, 60], [0, 51], [5, 67], [117, 174], [13, 60], [133, 214], [3, 58], [17, 89], [41, 109], [4, 84], [15, 77], [14, 103]]; loss = 0.013293 low_pass_filter = 0.300
+Epoch 0: | | 40809/? [7:42:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 40810; scene = ['1b200ddb0e8760fd', 'd2df2ab53964add5', '3d9d33cc3bedad51', '16ad60739d062c0d', '6e09af7c60023293', '4f28c295c810a208', 'b3c9d4f0a127bd68', '53211114a875b55a', 'f862002058e25989', '31da0a27f94b7b08', 'aed4f9a3b890e8fc', '678d371ddb5b47db', 'd65853f83bd609aa', '7538efadae587e9e', 'd50d58b66f4b1d6c', '84d69a2e8b30531f']; context = [[5, 89], [4, 68], [15, 104], [132, 184], [0, 66], [3, 69], [2, 65], [92, 159], [11, 100], [39, 89], [0, 90], [18, 73], [62, 135], [38, 90], [4, 64], [61, 112]]; loss = 0.010529 low_pass_filter = 0.300
+Epoch 0: | | 40819/? [7:42:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 40820; scene = ['de72e7430ace193f', 'c2e24813705c3768', 'd78319cea2d2f267', 'e3934b50d763cc3e', 'cc1939ad78497c14', '6b1f86e9e65ba131', 'b78bf8d0319fba08', '0dbe8d0d16ba2e5b', '3df9d0d002a0a0c0', 'fb32c9eb51209279', '5d1b54e167f45113', '4dd1e7636b5fbf13', 'fbda7cc833f25a78', '132dea1279481222', 'e99bc2b58b6f2ccd', '689eb631613c402c']; context = [[17, 71], [18, 100], [8, 79], [29, 108], [1, 48], [14, 73], [49, 135], [104, 157], [73, 148], [75, 138], [3, 81], [39, 94], [15, 86], [0, 79], [4, 66], [9, 62]]; loss = 0.009995 low_pass_filter = 0.300
+Epoch 0: | | 40829/? [7:42:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 40830; scene = ['abfcade637383eb9', 'fdc78f3a20011090', 'ff233cb7b51443b2', '9abc9eb2d8d58140', 'd6d5cc5c3344fca5', '2ad24b5dd5badb67', '2972a48deb0c801a', '0e10db62c44b48ba', '209188b1da3526c6', '65dc8616fdde3ea8', '0c7d36ad5763c797', '5387ea1020469345', '4722c8deb063edf6', '1182d7d1c0cbff1e', '6a40b490a091c77b', '4d6a1bf4c39100f7']; context = [[87, 157], [68, 134], [76, 124], [30, 102], [183, 258], [43, 110], [11, 70], [116, 174], [1, 46], [31, 121], [28, 83], [0, 45], [118, 179], [35, 101], [40, 86], [0, 53]]; loss = 0.010259 low_pass_filter = 0.300
+Epoch 0: | | 40839/? [7:42:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 40840; scene = ['8c6a2ed66efe8668', 'e584324a741aa792', 'dd74c21cc9f33ba0', '906dd43d6151d7ee', '2d2aa678502675d7', '8e099474b5782d9c', 'cb542d21ad5541cc', 'c739cd1692a75295', 'dfb72373de1aa058', '423ea2969049e51e', '8bf73bb389305185', '738d6ac1a13f0799', '01c5723c47c79997', 'd42ce2545d9abee0', '8e65686d3d0c7917', '7418314e76240536']; context = [[52, 134], [7, 91], [97, 169], [66, 120], [92, 182], [15, 86], [1, 59], [7, 75], [98, 178], [19, 109], [21, 85], [14, 99], [90, 166], [14, 74], [79, 150], [155, 241]]; loss = 0.011478 low_pass_filter = 0.300
+Epoch 0: | | 40849/? [7:42:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 40850; scene = ['20fa097f9ce07b6b', '9fbcf3237d43c93b', '51f633fd87dee5a3', '7c1d6f3dd9542cc9', '4d11b8a54ca3f310', '53d3a781a7db7cae', '9bc6fbf248bc726e', '7877153d7b11265a', '95e2d1a9e6e1ce77', '5a56b75ac75a93a8', 'a59d4fe567e33cf0', 'ce02a33915d0b0d4', 'e3f35f5e469a2642', 'f9fbb45ed5a7a61a', '772ee7030b08809c', '6542abd58a761087']; context = [[38, 86], [0, 48], [19, 95], [26, 82], [11, 89], [15, 63], [0, 55], [3, 75], [113, 168], [24, 89], [73, 127], [1, 67], [25, 100], [88, 143], [65, 111], [50, 101]]; loss = 0.010116 low_pass_filter = 0.300
+Epoch 0: | | 40859/? [7:42:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 40860; scene = ['cc8d60b67533bda7', '6113251e446acab2', 'aece43a03f5a4a78', '100c1419734fba67', '2659ec816ec78ee5', '11a2ff11b09706d3', '6e022744f8823ba4', 'd2e9c0ed4e9085fd', 'ee69514b21676244', '1f5eb53fc4c87e09', '6854b28be879be74', '212560bf98f95251', 'f85bd402fe4e1ef9', 'a6098adcc247f200', '29f0357322f1c8e8', '0284a77587f91afb']; context = [[6, 65], [148, 217], [0, 66], [79, 148], [87, 154], [7, 61], [61, 147], [65, 138], [1, 81], [9, 95], [177, 224], [91, 142], [3, 64], [92, 162], [148, 218], [2, 61]]; loss = 0.010187 low_pass_filter = 0.300
+Epoch 0: | | 40869/? [7:42:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 40870; scene = ['ff9879889b2fc896', '2a4284701926a108', 'f39af59fb4167fff', 'bb9481478f3f6d69', 'a92a2144824ec5d0', 'ab0df7dfba225813', '6ceef29d3cd6caf9', '5fd4e49b87e4a570', 'cf5a9d93df10f156', '4ed711808ac6f7db', '68dd157e5cdb64bf', '3aab66fa01a69daa', '95e435653707db95', '0af84dfcb9f53f97', '528b96fa2edce81a', 'df1b7ba1b76c0fd2']; context = [[4, 74], [32, 90], [70, 153], [139, 187], [44, 108], [9, 75], [18, 84], [2, 49], [90, 167], [65, 123], [30, 97], [156, 242], [42, 106], [25, 110], [46, 91], [40, 86]]; loss = 0.009212 low_pass_filter = 0.300
+Epoch 0: | | 40879/? [7:42:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 40880; scene = ['5403b2116cfcb7f4', 'e8198adc8f286ca2', 'da2afd41d40b5366', '88ec5960ae4ad257', '90b054efa5dff38f', '6a10db1b9a53db71', '08b847b675424659', '79acb6327881e101', '7d4cc2212a819b09', 'd7576649d0266727', '845fd245a93eff4f', '039b1dfb06179920', 'c0d8276757064ece', '39c04c73d4bd21dc', 'aec9839d095186a5', 'ce68b2802d6819ee']; context = [[2, 78], [56, 132], [67, 150], [27, 84], [1, 83], [12, 94], [9, 91], [11, 88], [12, 66], [1, 67], [18, 95], [16, 83], [13, 65], [0, 69], [1, 89], [23, 79]]; loss = 0.010554 low_pass_filter = 0.300
+Epoch 0: | | 40889/? [7:43:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 40890; scene = ['55bc5c2ac085ff36', '868ff2e3f4d67849', '65d8a439ddbae342', 'e54340dc6d0ff20c', 'dc8c60520f97768f', '7fa967710229854e', 'c90c46a5a1c95c0e', '26df5708ad6e414d', '68fe4c264682a4af', '8f143f06559309e6', '18ed5f9e86797748', 'd2d3474ebd2be7e8', 'de13992d44e86ff6', '5949f0b41fb6e848', 'aa0fc15ff8226499', '2ba70c51fe7b9b31']; context = [[90, 166], [60, 118], [10, 65], [11, 67], [136, 215], [0, 45], [58, 108], [24, 105], [9, 65], [92, 182], [6, 62], [5, 53], [91, 152], [34, 85], [28, 91], [0, 68]]; loss = 0.009018 low_pass_filter = 0.300
+Epoch 0: | | 40899/? [7:43:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 40900; scene = ['a99e79f3bf4c13da', '9ef7e60ae9442a54', '21e72cbe7342ef40', '43b6772d1f71154c', '1a7204b603b0c765', '5f488b72ead7bb74', 'ef9f95673c607cfc', 'c2c37a6bf0a12e0b', 'afad90a8ee12661e', '5db1f93559662c33', 'a950d4448837f574', '158c7dda2cf0765a', '9c6f712cead21584', '142af18c2b5f0145', '852f866007866388', 'd5071670e0c38441']; context = [[3, 68], [13, 58], [25, 88], [0, 85], [0, 69], [65, 129], [87, 135], [36, 85], [24, 97], [8, 87], [1, 48], [76, 130], [55, 118], [32, 86], [102, 162], [19, 108]]; loss = 0.010032 low_pass_filter = 0.300
+Epoch 0: | | 40909/? [7:43:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 40910; scene = ['f8aece902fb528f9', '57262e32f60a57d7', '249183bae475a01c', 'cdcafbeb344e83e5', '3a7baa3f05310611', '14f099649aa0cda2', '4d549d57084d7a1d', 'c080ad8a9a24dcc9', '0883f1f1781e205c', 'ef557dc83952824e', '57ea9d333a45531f', '9ed3f1ca76f706b9', '1b65116c3c5c1368', 'd33c8f0679967f14', 'dd70a2787fc81ef7', '475c01ee641612f6']; context = [[9, 61], [21, 91], [194, 265], [4, 89], [46, 126], [4, 62], [82, 169], [148, 213], [16, 85], [12, 67], [23, 105], [12, 100], [5, 92], [4, 81], [4, 56], [163, 240]]; loss = 0.010488 low_pass_filter = 0.300
+Epoch 0: | | 40919/? [7:43:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 40920; scene = ['66e596d7d9e69462', '6d6eb353e0bae93d', 'fae6b0485c4b48ac', 'aac681d019b30c56', 'c93a9c352e932c3d', '04f2bc5f16d4cb18', '58a22a9b8905283b', '71c29ce63894ae3b', '52c9ffc4ef2a36f4', '43c384625028872e', '43739f82f554c901', '64f07750a0acd912', '939847209cf6cfa9', '1a50a5e0096742c3', 'b090e2aca65c679a', 'b894adf6610ec8a6']; context = [[72, 150], [6, 72], [0, 47], [4, 89], [154, 240], [13, 82], [37, 95], [13, 85], [0, 89], [0, 69], [148, 199], [60, 126], [2, 61], [99, 150], [28, 77], [116, 169]]; loss = 0.008344 low_pass_filter = 0.300
+Epoch 0: | | 40929/? [7:43:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 40930; scene = ['55c975532d573be6', 'e3c32897e9c64042', '1d23a5cfc0b1d508', '8359c9726f078a38', '85944298a922538c', 'b579abf5d7100792', '62e2c4c0f76a53e8', 'de2eb4f6f8635fff', '196e7292497fe4a3', 'cc7dcffc9cba38a8', '02a9f1d0c440516c', 'e5acb4c6ebf8af27', '26478c3488603e09', 'b8d7dad69da49e51', 'd27aedac17239369', '607df63ac84ed24b']; context = [[22, 79], [1, 53], [7, 53], [10, 69], [5, 58], [14, 86], [164, 221], [29, 104], [12, 83], [58, 113], [56, 143], [19, 102], [20, 82], [64, 118], [38, 105], [76, 121]]; loss = 0.011562 low_pass_filter = 0.300
+Epoch 0: | | 40939/? [7:43:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 40940; scene = ['3f12567c1f0af984', '79554d6408c5040c', '62f3272b59ba94b2', 'db4e2323657a6604', '82fb4185a92b98a2', '4e7d8ed51095038f', '87c15bdc99de8b19', '17657ab0d679384c', '914d28b1a6619d56', '3f910c5dfda4e9e3', 'be58ff6a05db979a', '40e959fe748bd12e', 'ff940b152f67e64f', '666fbacf3d76fb89', 'd1f93f6069123a71', '8a24894256c16beb']; context = [[109, 155], [47, 106], [128, 193], [19, 90], [23, 68], [45, 117], [7, 60], [117, 199], [32, 90], [40, 96], [40, 101], [17, 90], [10, 66], [14, 69], [13, 62], [15, 79]]; loss = 0.011200 low_pass_filter = 0.300
+Epoch 0: | | 40949/? [7:43:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 40950; scene = ['8f92cbdcc847a53b', '92a9ae6a8e0bc730', 'b078271cd9b0c60c', '3cfb4841333f7534', '51a10e26d331a7a6', '3900e658171214bb', '218374163d050ea2', '36419a3bac6c576f', '093e9cccabc07b67', '4fa6e4051bb5770f', '63f02ef9a059cab5', '1ccf17e4cc459d89', 'a2ee374109858209', '68a45d0deef42284', 'b78e8eac3de74061', '0e2aaa4f464750cd']; context = [[4, 50], [22, 72], [4, 60], [63, 130], [199, 251], [113, 190], [10, 99], [4, 90], [74, 130], [54, 141], [64, 122], [13, 66], [10, 98], [7, 72], [53, 100], [75, 158]]; loss = 0.009294 low_pass_filter = 0.300
+Epoch 0: | | 40959/? [7:43:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 40960; scene = ['759a73395c5c7438', 'fa0ebac9a7dc602c', '3840264dfb7c4d0b', '71d70edad4f466d8', 'ea672c1776514bc2', '124a8e1a8219f20f', 'c13a53c648b36401', 'e8de65fe4e647a7d', '40376e9c2cadecbf', '7025666cfb44748a', 'bb32e9a89ca9387e', '31250ac58b3e32c9', '004daabedd090309', '436ccd6836a9c74e', '533c2f41ab209d24', '19628f94fd6a344d']; context = [[81, 144], [81, 134], [9, 57], [65, 136], [133, 201], [16, 75], [2, 67], [2, 52], [95, 168], [20, 85], [91, 177], [125, 171], [18, 102], [17, 90], [7, 59], [141, 217]]; loss = 0.009614 low_pass_filter = 0.300
+Epoch 0: | | 40969/? [7:43:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 40970; scene = ['e290173c0fde2ae8', 'bdc7f48c83230b3d', '3e2dba0df6626ad0', 'c890bd86e883aae9', '8160c9bb2be20ad2', '4102f7e202592faa', '897f99d6944efe16', '919d9ffa7703bf0a', '3ad6c4faa9fe5e60', '8e481a83f1b68949', 'a894ccf3eeda06d0', 'f5b10b2effa2c945', '1fc68db949b1305e', '011dbae1fc189e93', 'fdf39d23e4d2212d', '3555b2375c745e15']; context = [[83, 166], [43, 119], [20, 89], [18, 75], [2, 48], [12, 67], [18, 89], [8, 55], [9, 92], [14, 61], [9, 61], [34, 81], [57, 118], [5, 60], [69, 118], [39, 93]]; loss = 0.010535 low_pass_filter = 0.300
+Epoch 0: | | 40979/? [7:44:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 40980; scene = ['08fc2ff373ab5df6', '5ff34635d3805f71', '3103211bbc2408ea', 'f71d860c46301723', 'e327aa8d28ca11d0', '1b95d354eed7159a', 'ffd19f414629037b', 'f7e97032335eadde', '0e29ad53f7038adf', 'f68d49dddde45d32', 'cdc51e3b5f9b8e5c', 'e9c7429c38f43e66', '7c7cdad9ebdae004', '89cc337397133f3e', 'f74b389738420c04', '4aa5113cb53c2951']; context = [[4, 50], [1, 88], [3, 66], [98, 165], [11, 99], [9, 84], [34, 93], [45, 112], [2, 69], [79, 165], [39, 102], [9, 69], [140, 221], [178, 228], [2, 66], [101, 158]]; loss = 0.010837 low_pass_filter = 0.300
+Epoch 0: | | 40989/? [7:44:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 40990; scene = ['49a5ad0378eff134', 'aecf769bca7bc5ce', '1185cec1560a7b31', 'c40af6052df793cb', '26aac88656a643d5', 'aeb0a9a7ae4b838b', '593dfdee6abc704c', '4c6b267e4c124540', 'd289541809be1924', 'a60e4127f167ac93', '4ca457ca633e17e3', '69596c7df4b9df23', '7a40c2ec4e36880e', '11a0178831a2ae2c', '48c9bb29482ddf76', 'f61b6261a949358f']; context = [[2, 79], [35, 104], [7, 55], [18, 69], [19, 89], [2, 52], [0, 80], [28, 74], [10, 66], [85, 175], [21, 71], [37, 103], [11, 89], [12, 69], [17, 88], [17, 102]]; loss = 0.008379 low_pass_filter = 0.300
+Epoch 0: | | 40999/? [7:44:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 41000; scene = ['5b42aadc59b3f4f3', '42a8e3c55088a4dc', 'ab69710e23ffa519', '3cc8d06011dd9207', '08229b370b6679ab', '88738a0216eaac3d', '89200a23ad856a24', '8717033b0c015117', '1cb6b3a29a639e63', '9507201d84c13ca2', '303d4152e23ed544', '785b4e92df170c53', 'b868a5e2c04c318a', '1b27574df699e0f1', '530058879ee605a7', 'dfca45b7bac8c60b']; context = [[33, 114], [18, 70], [65, 139], [0, 70], [1, 75], [7, 62], [76, 160], [4, 66], [1, 70], [35, 108], [189, 271], [25, 75], [159, 249], [45, 119], [33, 85], [60, 143]]; loss = 0.010829 low_pass_filter = 0.300
+Epoch 0: | | 41000/? [7:44:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0validation step 41000; scene = ['015631b21f792a12']; context = [[57, 137]]
+Epoch 0: | | 41009/? [7:44:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 41010; scene = ['ea6ed2808e7a6b2b', '590d6f715d8edd9d', 'bde0ae0a61223088', 'bb2c45db780e6053', '79d69af91cf6b1a7', 'aff1a276b88f95c0', '623a5216fb75cc8a', '81f0e23b267f977f', 'cc3b2bb760ce5ade', '2e25e9e465061299', 'b7a4d8bb62482f41', 'eebbabe770803962', '97be57ad8c57e50e', '9995ebd239715b8e', '45640ebc88e55a99', 'bd17df2a73c9610c']; context = [[8, 83], [142, 227], [20, 69], [10, 61], [1, 51], [2, 72], [35, 87], [15, 68], [12, 63], [11, 101], [60, 150], [2, 70], [69, 140], [31, 99], [21, 106], [61, 147]]; loss = 0.011647 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 41019/? [7:44:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 41020; scene = ['319808fe19b84a1d', '6d68e73f69d73d07', '71ffdab54dd4d5a6', '1b97512a507c1af7', '2359aae1dcdcad57', '677f2e47f3371b23', '19c1be98c8cc8c2f', '09ab565950cc3b2e', '7002050eaf600751', '30ed18ab2cc0e103', 'a33ab61ae99bf117', '3b55d9ff7f824fb3', 'd677f3e6092f2fb5', 'be46f8455477ba86', '4ba1c378fd584bdd', 'ba46035ebb408dd6']; context = [[12, 85], [4, 71], [6, 57], [14, 62], [1, 61], [3, 72], [17, 106], [0, 65], [41, 89], [52, 137], [3, 48], [118, 195], [14, 60], [126, 216], [20, 68], [22, 95]]; loss = 0.009327 low_pass_filter = 0.300
+Epoch 0: | | 41029/? [7:44:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 41030; scene = ['eab2801e7ce5e17a', '9411f16aee4d909f', 'e3e8d578bcdf23e4', '2075d6b4ba887069', 'd58d5c6a87dd5dea', '2a6b47d35a74d85b', '09238d4624f16c55', '3567e42cd469fe52', 'fdf733d3297e24f3', '5cff1e4a72fd38dd', '2bd6b11df030a5ec', '79f1ba29ca9dbf2d', '9327d6be6d69b135', '7b13965de06843ef', '206c406cbb54c9d6', '714c3dc97fac769a']; context = [[0, 54], [183, 270], [4, 90], [18, 89], [34, 103], [17, 81], [4, 66], [51, 137], [2, 66], [13, 72], [7, 64], [145, 221], [1, 57], [27, 110], [3, 82], [15, 80]]; loss = 0.009728 low_pass_filter = 0.300
+Epoch 0: | | 41039/? [7:44:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 41040; scene = ['2fc448010ddf9c0d', '93ba1cbdfc5cc86e', '5a2361e3f5e87672', 'a13d8d996ab50fd7', '162d2f3288eec573', '946b5a5a5fe14cb2', '1eceb072c56cef6a', 'ef1960d77e70c4eb', '2f7ad185cb1a633d', '88d98887a0d02f35', '4f42d4beb74ef8d9', '1eaa109d45cc63a0', '2c7d16cf329d8c30', '50fe60755e841285', '68def34f2c950976', 'd2a9abc9f488ab92']; context = [[6, 59], [23, 72], [7, 75], [7, 73], [148, 224], [37, 94], [27, 113], [114, 204], [77, 127], [6, 69], [2, 55], [19, 71], [0, 63], [16, 95], [39, 120], [0, 48]]; loss = 0.010036 low_pass_filter = 0.300
+Epoch 0: | | 41049/? [7:44:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 41050; scene = ['208e267f234ea686', '7c176d9aef38ada9', 'df54544af0cb2814', 'a5f88d386483e9c2', 'eb2b2c9b2fbb446c', 'a32aa8e09cb77fdd', '4eb8e624b1601660', '04a742730f96266d', '8dbd94846f7400e8', 'e1b31ddd45f4eb68', '432f3248df5f40c5', '6b98e19060e46fb9', 'e558582f51260b69', 'b4873bca252ef9a1', '4d809b298356061d', 'febe496e41fa74a0']; context = [[160, 211], [62, 139], [11, 98], [73, 142], [51, 104], [11, 66], [2, 54], [36, 100], [45, 93], [6, 87], [3, 50], [140, 202], [13, 73], [40, 105], [55, 123], [6, 66]]; loss = 0.010354 low_pass_filter = 0.300
+Epoch 0: | | 41059/? [7:44:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 41060; scene = ['05339963edb6000a', '1300f3d98b10fbfb', '03d9809c2ddbcece', '52d043963e210bfc', '0193a365ffbc8188', 'f48f11c8b6fca413', 'f97098cf86a9c9f0', '53f494ba124765ae', '210c615665e722ce', 'd8445efc40a8fca8', '0e993fce1ec5e3b0', 'e02e87df15575cae', '02b2ea54d6cf57be', '6a058519956239d2', 'bb747b7bad77958d', 'ab4b384f7cb7f24b']; context = [[0, 52], [86, 160], [2, 79], [11, 98], [14, 102], [2, 76], [131, 199], [18, 78], [83, 136], [18, 108], [16, 100], [7, 77], [9, 86], [3, 61], [37, 122], [5, 88]]; loss = 0.012728 low_pass_filter = 0.300
+Epoch 0: | | 41069/? [7:45:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 41070; scene = ['7dd8fc2a2879081b', 'f26b0f41d07e095e', 'e1552e01242047f0', 'b6ad7033ca0cbc19', 'c356250cc2aafb8f', '27fc0e7b8cb19777', '5c6220acfae016ee', '4f3469437e46bd88', '3e8a7a45047fc892', '669108f020ce9326', '69a74d6dff7e4ecb', '9332241d744fcc89', '709476c26a219c69', 'c10d7356f8a3a3ab', '41fffc6d9d335b3e', '75c251fea8145421']; context = [[61, 106], [15, 79], [9, 62], [30, 112], [92, 158], [2, 80], [32, 105], [74, 125], [14, 74], [109, 183], [118, 191], [35, 97], [1, 47], [86, 131], [17, 90], [15, 91]]; loss = 0.008517 low_pass_filter = 0.300
+Epoch 0: | | 41079/? [7:45:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 41080; scene = ['701e1e67ce9a49ec', 'a93cf5afa5172f2d', '54dcba84c9970357', '52a42bfbe8f965b5', 'dcd5b87a61298893', '22d1422ff4247b34', 'd6ae7df1d2f33c9e', '2cabedba16dcdc84', 'de03eb2fb73856a2', '875fb09a10109ce7', 'ddc7cb426ce19857', '7245e11c64786906', '9807f8f6ea448e58', 'd4a3e84b341bec13', '6196f4fa2700b0af', 'da0680ede2d63536']; context = [[10, 61], [120, 173], [2, 64], [104, 186], [63, 144], [41, 122], [26, 79], [7, 83], [21, 75], [88, 147], [38, 102], [3, 92], [22, 111], [71, 154], [4, 60], [17, 71]]; loss = 0.009199 low_pass_filter = 0.300
+Epoch 0: | | 41089/? [7:45:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 41090; scene = ['cfa2450736df61d1', 'ce93ee0eaca72e6b', '24502963bafe2fa5', '310940bff3f06d17', '2ba97c65f2b6b12d', '55e04e9b50ee3cd7', '3d324e5e8a7790b5', 'b620dfaca7a37365', 'a7285c6e5c20dfc2', '3410d65a1b870eb7', '93e4362f1b5a692f', 'fac4848086b213ef', 'de7427712778e01d', 'a1c4f2db52b4051c', '05afb96fc56cd180', '42542d645678fd04']; context = [[10, 66], [52, 104], [56, 131], [20, 107], [61, 115], [37, 101], [24, 114], [53, 105], [49, 119], [0, 49], [7, 63], [15, 72], [16, 65], [19, 83], [1, 63], [45, 132]]; loss = 0.008812 low_pass_filter = 0.300
+Epoch 0: | | 41099/? [7:45:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 41100; scene = ['c643bb23eba2cf21', '92bd941ab6967c92', 'a54c7a2b9fbf4dd6', '885ae680bb5ea997', '441fb31750988576', '16f6aa5fc0f28551', '7fe2b466e98518a3', '47ae6002443da89d', '24d6737d4295778a', 'aeba0e80ade27c60', '9720a52405835b98', '0e72cd138b93788d', '58fd1e2aa6aa30fb', '0eedfd3367866a18', '332db302db18a6b1', 'cb17ff92309f6c21']; context = [[10, 97], [40, 101], [0, 67], [15, 64], [16, 79], [87, 133], [17, 103], [98, 158], [37, 86], [42, 103], [0, 87], [157, 216], [20, 86], [17, 92], [2, 89], [6, 62]]; loss = 0.010988 low_pass_filter = 0.300
+Epoch 0: | | 41109/? [7:45:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 41110; scene = ['e7887dec76685627', 'e9d9dc952f5bbd83', 'f9e30677a660d5d0', 'c65b5c10c857ed26', '29bae6d351890d6d', '4cb55081f9816caf', '13e1d5e8a0e6b2bd', 'c30cf086d597aba5', '964d84c15eadd21a', 'f63a4086664bd09b', 'bbdd49ec9677e590', '55884a763d483c32', '1ad6f571781d4e71', '35d818d3fdbde683', '33dc89c64aa1a814', '6bd188e48caeee1c']; context = [[34, 94], [39, 114], [43, 105], [39, 94], [22, 69], [41, 101], [65, 134], [17, 84], [34, 104], [4, 71], [47, 111], [7, 63], [14, 59], [32, 84], [131, 210], [65, 136]]; loss = 0.009291 low_pass_filter = 0.300
+Epoch 0: | | 41119/? [7:45:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 41120; scene = ['bbcc18ce68c1bcf2', 'a5a8e6a3d35a22c8', 'df662bb3e944a8db', 'f4e703d23e3cd7b1', '51a5009f56cb9674', '8e3dfce25f2d216a', 'cffffa4c0548a72d', '144913b1e5d43257', '5c552b9885372466', '67a7ae30083745d8', 'f78010c2da94ccc1', '9db73c761e584373', '06b03bd52b56ca94', '31abf1faeab6bd13', 'd0e8acdfd091d26f', '3281c500dfa5bf48']; context = [[176, 242], [7, 61], [0, 46], [7, 88], [58, 137], [6, 82], [86, 167], [16, 71], [17, 79], [85, 170], [8, 82], [9, 94], [84, 150], [18, 82], [17, 84], [12, 66]]; loss = 0.011153 low_pass_filter = 0.300
+Epoch 0: | | 41129/? [7:45:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 41130; scene = ['70e9cedc1b651390', 'fdb6fe07b7177854', 'de1cf9fef80fbf69', 'cbb41882beb54a0f', '7b0ef31a4906b4a4', '1359aae95ae32f92', 'abf5951971f6f3b4', '9b9ffa6305068282', 'dbe7ffcf03148e8e', '991b3ad0e6529d38', '02c8c0e9587b4417', '1d49bc9391005354', 'e1d54f5b0c99afc7', 'be0ce1ab279edf70', 'f1acae7a283e8298', '4292af9da6eab2e1']; context = [[28, 82], [74, 158], [11, 56], [1, 66], [19, 70], [16, 66], [13, 74], [20, 80], [0, 46], [14, 78], [14, 61], [2, 80], [72, 123], [2, 69], [5, 66], [67, 134]]; loss = 0.009973 low_pass_filter = 0.300
+Epoch 0: | | 41139/? [7:45:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 41140; scene = ['4a12eddb909e001a', '96640585e0c7373c', '8cee9991d18c1f9b', 'eb0d89c323b8848b', '7d25a46eba7a6f2b', '61b47f4bc7d7d615', 'ce83b2cb583c5746', '9b53b65f6589b449', '3e30604f4534a8fb', 'e6acd6116662f723', '1d09d68c42cd89c7', '69d48147d336abd9', 'dda3ac5e6f3750a1', 'f7f3359cd5a72d36', '9b11721b160505e4', 'd1470dfbdb2d9545']; context = [[0, 58], [110, 197], [62, 119], [102, 176], [2, 58], [23, 68], [0, 60], [51, 138], [0, 74], [3, 73], [28, 106], [18, 85], [47, 127], [15, 83], [33, 79], [65, 134]]; loss = 0.011207 low_pass_filter = 0.300
+Epoch 0: | | 41149/? [7:45:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 41150; scene = ['c0e9d9f4f60169e0', 'c532c6f1dbe975b7', '3ec1eeba0cc084af', '60a584cf224950a4', '373ce003d1e0bdb9', '34037b62eef60172', 'f8ee5a395e856a9d', 'b86f88d0d21318cd', '7c6d160c26de6887', 'c38835db6bec2825', '44c89ea5834e28b3', '0efc5f77b13da150', 'c7159a8daad87750', '28e2882fd19235da', '9d04c5c69b79b41b', '8dfe8887806a699c']; context = [[7, 77], [16, 89], [160, 232], [3, 61], [141, 210], [12, 74], [24, 82], [22, 73], [151, 208], [22, 105], [27, 94], [4, 53], [11, 56], [11, 59], [67, 133], [5, 72]]; loss = 0.010033 low_pass_filter = 0.300
+Epoch 0: | | 41159/? [7:46:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 41160; scene = ['314b6d851322d367', 'f474a94441893d23', '82f71425ef743378', 'b59e7acf1e36fb78', '7e9f7d67297a7768', '8fdc497d1fbe893e', '1d808d00657a8147', '366ae2b065afdfc8', 'e33681181c5c641a', '3706e43acaa67c66', 'ed0e0e3d74ae9bb2', 'b68da6541d97312c', '3a696d55abbdff77', 'b9145d57be555d21', '74411b139d83a461', '3e53273804a1b9db']; context = [[21, 82], [2, 75], [5, 59], [181, 230], [26, 97], [10, 99], [34, 92], [95, 178], [1, 78], [40, 98], [26, 78], [19, 90], [47, 108], [39, 127], [83, 164], [2, 76]]; loss = 0.011765 low_pass_filter = 0.300
+Epoch 0: | | 41169/? [7:46:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 41170; scene = ['f3c8c41d370f099b', '9b5e2c34608774a6', 'a5dc410ab6b6ffdc', '26a19d5d4d76f83d', '172007be3056a5e3', '87f309174a1f7823', 'cd6004a198ec5ce7', '89610e2709f7fe4a', '6bb980981d578f1c', '1dd657d729988154', 'b66b5fe75bc57149', 'bf7db154feb5eb9f', '6a1f10429ae1bc45', '36aade8d48bfd9a3', '74e0443fbbce9f58', 'b1fa7e90e6eb4a8e']; context = [[73, 128], [130, 197], [18, 81], [40, 104], [145, 232], [28, 79], [2, 48], [7, 58], [4, 70], [86, 136], [24, 91], [3, 54], [14, 63], [14, 96], [42, 129], [8, 61]]; loss = 0.008858 low_pass_filter = 0.300
+Epoch 0: | | 41179/? [7:46:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 41180; scene = ['36104f651c97fdc3', '22de6281fa85c7df', 'a04c39adc3e4b7d7', 'db16b0a1cfc0def3', '673bb70a9e431738', 'b6bf9b89e1af61c0', '2988f7cd6578fe52', 'b776e79d3e36a209', 'bdcf63d0e401dba9', 'd2f6501e51fda88e', 'f91d97a02869cbd5', '7dd3394cb3908cef', '3b478464a6665998', '56f95247e77bedc3', 'c0866648804899eb', '37fc71e2d5534f99']; context = [[21, 69], [22, 75], [6, 73], [44, 104], [5, 58], [0, 65], [32, 106], [12, 78], [0, 63], [88, 141], [19, 76], [27, 77], [35, 119], [196, 254], [33, 82], [79, 147]]; loss = 0.010226 low_pass_filter = 0.300
+Epoch 0: | | 41189/? [7:46:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 41190; scene = ['90e977ece4eb6ea1', 'cd2e6f4d92d5d529', '57db819c1a84d2d2', '8a9a72e312f128f1', '5eed6b0dec374d1f', 'deed1e553b4905e1', '723f157b2ec763f1', '46019499e273d03b', 'aee2a809c583895d', '203db9a6ce37b351', '0f669daedb93570c', '15f662b610839883', 'c343feccd0e79933', 'ed3d1d0539b10ee2', 'efa2de9e4ecc35c1', '06966417c542a4f6']; context = [[15, 82], [32, 106], [104, 182], [0, 66], [61, 140], [60, 112], [58, 110], [7, 72], [228, 273], [1, 59], [14, 92], [23, 70], [21, 74], [56, 132], [157, 216], [48, 105]]; loss = 0.010953 low_pass_filter = 0.300
+Epoch 0: | | 41199/? [7:46:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 41200; scene = ['dfd336dfa3c2fb00', '3a7baa3f05310611', 'cdcafbeb344e83e5', 'dad3930a5a5ff06c', '4d549d57084d7a1d', '0883f1f1781e205c', '4188d18d531e631d', 'c9a73532f0cc200e', '3c98d600041d2bcc', '94aa49ed217160d2', 'e840f15a503d14e5', '5b3ebcc7978db790', '97f73b3de5c78cc3', '779e552026166070', 'c998093c16301e1f', '78463c78b97d6cdb']; context = [[28, 118], [2, 82], [3, 88], [12, 74], [142, 200], [18, 64], [209, 259], [25, 77], [19, 71], [21, 110], [145, 217], [5, 90], [33, 106], [54, 106], [1, 62], [3, 62]]; loss = 0.011285 low_pass_filter = 0.300
+Epoch 0: | | 41209/? [7:46:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 41210; scene = ['29e7e600b76ae5af', '1a1a95caa829994d', '730bf012195de6f5', '99bbce4182325b7c', '6b0f7d9de50fc961', '167823fc4a12fe62', '9d03d8ba99285dd3', '38a49a9ba946bcab', '92b5216fa485a257', '778b069f291493b3', '44ab1ad50cc2d30a', '805e0eeb667b8d69', 'dd70439f8c63e2c9', '52dad29ccea8dfa7', '01e2bd7042fb4bd9', '1300df0c4d61179f']; context = [[15, 82], [190, 252], [13, 89], [4, 64], [49, 136], [3, 60], [1, 87], [0, 49], [119, 165], [0, 50], [9, 73], [102, 183], [50, 128], [23, 93], [5, 94], [9, 57]]; loss = 0.010794 low_pass_filter = 0.300
+Epoch 0: | | 41219/? [7:46:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 41220; scene = ['ebab6115d84e38f1', '2cf9926a578c2784', '071317a7a935d94b', 'be920b88d4014762', '7df5dfcb4c9f5e24', 'ca2e6a9878ee4e4e', '264bb76b06bac802', '140ec322ea5a197f', '244eda7c0944fa1f', '31c7ca382b4cf406', 'f25f89722f6fd7d2', '61944f66d6b0c7b6', 'c90f01f360645e27', 'ee7877c90977cfdf', '7258700ff6e92e8f', '400f918d4cdfed4f']; context = [[1, 48], [51, 126], [0, 57], [0, 48], [3, 90], [8, 77], [45, 107], [87, 157], [114, 176], [34, 99], [154, 223], [71, 160], [104, 151], [13, 75], [71, 151], [1, 58]]; loss = 0.009711 low_pass_filter = 0.300
+Epoch 0: | | 41229/? [7:46:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 41230; scene = ['0972b63d6da3abd4', 'cdd401649a7beba0', 'e65dbd8f3fa574cf', 'c48ae441e013959b', '19f18091790cb8b4', '9bbdf26fda3f7aa6', '060888ad72a59ce7', 'c4b5cf9bba4c5620', '16c3333a33394e05', '2fff3b2844c2f1cb', 'd07f942cbe5dbb23', 'a3510c2a3ecb7271', '1638d45be05bad08', 'ab3ac1ab685dd2fb', 'a094ba1980c7d5dc', '445733250e277c1e']; context = [[18, 93], [47, 113], [16, 69], [6, 70], [71, 154], [104, 177], [17, 86], [23, 71], [26, 92], [0, 57], [127, 178], [11, 69], [32, 110], [3, 74], [9, 58], [66, 130]]; loss = 0.012604 low_pass_filter = 0.300
+Epoch 0: | | 41239/? [7:46:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 41240; scene = ['f930287fcc142c41', 'ee8161c4cd89295e', '06badc5e41c058a3', '2978b48689efb5cf', '89aaed17be3e98f1', '35defcd6d8369e3a', '25d01adc0dba1ce1', 'ee68497fe72a28bd', '21dc12bbbe7810d8', '926981007a66053d', '3a362a67b9e12376', '114849750993031d', '3097fbf4e8e1cf6b', '1c7f730db5d85172', '5ad339434aeed850', 'd10b947d1bd37260']; context = [[33, 102], [2, 83], [1, 49], [7, 73], [11, 65], [136, 182], [17, 82], [41, 120], [102, 160], [141, 216], [6, 92], [0, 67], [90, 166], [25, 81], [2, 47], [132, 177]]; loss = 0.009214 low_pass_filter = 0.300
+Epoch 0: | | 41249/? [7:47:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 41250; scene = ['47cd9a752d3fb63f', 'ef4d99ddc59d78ac', '01c9d8d300256658', '35c5fc80e85db7cd', '99f1c2a83be00a5d', 'b9912ec3e98862aa', 'b039526008c39a0a', '557c338b898f9326', 'fb6630f991c6d324', '1f07cb2b848165e1', 'eb2f7073cf409991', '31546243e7d33be6', '5c97b500db0da80d', '6c2ee57b58acd9e5', 'a2ecaa8119e0206c', 'faed3d48ab5647f2']; context = [[7, 63], [1, 69], [49, 113], [46, 135], [5, 79], [106, 168], [2, 69], [19, 68], [5, 93], [72, 142], [5, 50], [23, 85], [14, 65], [2, 80], [121, 208], [16, 80]]; loss = 0.010138 low_pass_filter = 0.300
+Epoch 0: | | 41259/? [7:47:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 41260; scene = ['3815cba3f4385bc6', '2c4748f991f7d71b', 'c00ead6d6393cd09', '2cca4a4cbf45c0d0', 'a91d501f33a28dc7', '39c33991bfff3e83', 'c86d56f5ee32a61c', 'c4e0a84e7e269d3d', 'a29077306f6f735b', '08a75a450ebd71fe', '337dc31602bf2187', 'c11e45b1b76d8117', '87732cfa339b6202', 'f1a0ce57e7071dac', 'f689b1467bdd3aaa', 'd07aa4d1691ccf58']; context = [[10, 70], [4, 51], [6, 57], [86, 137], [6, 84], [151, 218], [74, 146], [55, 109], [72, 120], [33, 82], [19, 71], [4, 65], [18, 65], [7, 83], [24, 93], [74, 131]]; loss = 0.009346 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 41269/? [7:47:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 41270; scene = ['6260eadb16930830', 'a0d1f5bd499fd8bb', '68527c01923a3319', 'ed8ce926652c2eb1', '2f358c7261cee038', 'd061a7ec0d2fe858', '916ccb4d52fff634', '79f0ae0d31fd1d8b', 'b829816b67fcc39b', '8496ba446c5b6315', 'eb52fcf26d327e46', '23aeca1b7b3e453a', '9fddc14f5349e77a', '121a82c0523487a0', '1d2bf04b397af5cd', 'e2406c6d5ca2a6d4']; context = [[73, 153], [141, 197], [3, 73], [16, 93], [3, 59], [2, 72], [22, 97], [5, 66], [82, 143], [119, 179], [64, 109], [15, 94], [3, 60], [9, 58], [11, 87], [21, 100]]; loss = 0.011673 low_pass_filter = 0.300
+Epoch 0: | | 41279/? [7:47:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 41280; scene = ['1757f8643bdf6f4c', '0eab3863193dd421', '869e0400a977198a', '829871f6aac182dc', 'f2bdcbd474fb6eaa', '3ce190b5df7d8af7', '0fe21abff5401005', '4f4da706cafe1656', '9430c9da009b1ee5', '91047c3d98f1ad63', '78ee44257f9539ef', 'b328b672fa646e84', '721994e114f4ec69', 'd1df92cb4831bf68', '285ea7b514670328', '7572cf78733b5e04']; context = [[22, 86], [14, 79], [6, 64], [5, 69], [159, 218], [39, 96], [7, 87], [21, 69], [6, 86], [11, 100], [9, 90], [6, 80], [57, 112], [5, 61], [90, 177], [105, 183]]; loss = 0.012752 low_pass_filter = 0.300
+Epoch 0: | | 41289/? [7:47:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 41290; scene = ['15d50c35ce2414d1', '8b8086cefabc3f63', '4d2198d0421457a3', 'dd766ad08fec83c3', '164cc8f264b0aa63', 'cd05e2ed965d6f9a', '514b4062ea2f6e76', '0cc64f7ea809ec72', 'b58c4b0df22ba910', '6b0ed48978a7de83', '981c7e381f2dc97e', '11a226b8c7759283', '87194474b33de348', 'c54a11071ab70c90', 'd54b539de59183e7', '74b28af6d0cbe407']; context = [[3, 48], [66, 121], [31, 100], [37, 101], [6, 64], [0, 68], [4, 66], [9, 86], [11, 100], [188, 263], [0, 52], [3, 51], [93, 180], [11, 79], [1, 86], [6, 58]]; loss = 0.010842 low_pass_filter = 0.300
+Epoch 0: | | 41299/? [7:47:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 41300; scene = ['658d1d5153bc693a', '02f2bced7693a878', 'd23158e41df25c32', 'a308376472392fc6', 'b0b54e44bbbb3aaa', 'b8e91cbe57d886af', '5bf1d42524c02fb8', 'b41d3898f57085e3', 'ce4fa27b4ee5955b', 'f2814d17062330d1', 'e7b0248022eae778', '011fbca4c333495f', 'fd796259bef6cab0', 'c38816ffe6b2c633', '1182579e7ca4ef88', '2598b88b7b7d2119']; context = [[25, 98], [10, 87], [6, 66], [8, 59], [7, 81], [46, 113], [37, 83], [16, 98], [11, 72], [9, 70], [6, 70], [12, 91], [33, 116], [105, 160], [0, 89], [34, 86]]; loss = 0.010074 low_pass_filter = 0.300
+Epoch 0: | | 41309/? [7:47:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 41310; scene = ['c84ce7b291806055', '95390743755ea23c', '4e145d26377a414b', '1a9b4d12c5b517a5', 'c2311a649b12cea9', 'b33803d3409e57d9', '2a816c674416d597', 'f15bac67b7a07933', '9dce78c1dcd85327', '87e78ff298b1cd97', 'f41c119ea504e8a8', '11f3ee09a95c385b', '4edda19fc6bf05e6', '82f1bd7b1a3a035e', '80306408b8d371fc', 'a78b0452a2d05f18']; context = [[11, 60], [31, 103], [0, 64], [3, 48], [2, 73], [2, 47], [43, 122], [15, 61], [91, 165], [1, 48], [0, 74], [2, 70], [9, 89], [27, 84], [37, 92], [51, 122]]; loss = 0.009815 low_pass_filter = 0.300
+Epoch 0: | | 41319/? [7:48:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 41320; scene = ['305930c2ac2205b3', 'a11a4c848afc6292', '8d6d9857a57baee3', 'ce4f7bf72c8a56df', '0f269fbd2e54d5c0', 'd89ffa569fafc6a8', '13fe686f8a130588', '50cb9194a0e25204', '23eb4910c21eba22', '8dd05db385680029', 'aaacce7a4a7c9725', '8104d6d4a5691896', 'c1cad432e5ba058e', 'aec50869232a56c7', '8afc54cb1788893a', '1e0cc9086e954fef']; context = [[29, 107], [5, 84], [24, 77], [66, 130], [0, 57], [31, 79], [121, 205], [23, 73], [8, 56], [1, 85], [82, 167], [0, 45], [87, 164], [7, 54], [0, 80], [36, 116]]; loss = 0.012695 low_pass_filter = 0.300
+Epoch 0: | | 41329/? [7:48:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 41330; scene = ['8488fa43d3af93b3', '3801fa932c2b4338', '9dfab02a0ff14bb9', '496d1c59633bb143', '99035b0c28d05e25', '2e5ff8faebe9c6d7', '0d7fdf79a21de6c3', '3828012e4927ce86', '3150b1c3a91a4e9e', 'f3ade6c63bc7d4ae', '2a6aa6af5a3d4820', '30f056ed33384864', 'bfecf32dfd0f8b4d', '07716160a0a7492e', '68e84ca4087cb4ab', 'fc7a37ff14ef384e']; context = [[31, 88], [20, 94], [6, 91], [1, 67], [63, 127], [2, 69], [9, 85], [36, 97], [17, 91], [42, 115], [150, 208], [3, 51], [73, 145], [12, 74], [84, 131], [2, 48]]; loss = 0.009199 low_pass_filter = 0.300
+Epoch 0: | | 41339/? [7:48:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 41340; scene = ['cda626276cad4421', 'b55e562a2c369bf4', 'd13cf5e43c7c2e79', 'b721c9a209ca3a3e', '28eca1887bb0e308', '2cdf31619207c526', '83e59bd234f5cd90', 'd2ec0415685d53ad', 'ce2b53a1dd284f8c', '5b3b305c509f38a8', '89e0f663d12644c1', '3f2e3a1c53cc15c7', 'e7eb6b35cecfc121', '8c55dc484a5b5f15', '24fe46ba16e8a785', '2f859d6d5a18a6af']; context = [[66, 145], [67, 120], [22, 69], [2, 63], [8, 90], [2, 74], [8, 57], [0, 53], [37, 100], [5, 83], [3, 57], [39, 89], [36, 83], [9, 80], [18, 83], [75, 146]]; loss = 0.008159 low_pass_filter = 0.300
+Epoch 0: | | 41349/? [7:48:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 41350; scene = ['8fe2890aa478023a', 'ab6cd47b1ae67af4', '91e232e32bf4ec84', '5e79dae0930185cc', '69cef2ebaeeadb88', 'da66acbc07d17fee', 'bafb2f1de71db4b4', '5142a42cf28c0572', '4935c05a11512f3f', '577a3ab7c92be031', 'beb54e5f88f4b3b7', '4c86a1bf572ecad0', '0f10a52a677be72a', '9bc3b095952b669a', 'd6f6f9a2f1fa321a', 'f43b8704b2b7f744']; context = [[50, 120], [1, 62], [19, 98], [24, 82], [27, 88], [1, 67], [25, 94], [193, 238], [42, 114], [51, 138], [25, 80], [160, 246], [44, 107], [0, 62], [5, 57], [9, 75]]; loss = 0.008519 low_pass_filter = 0.300
+Epoch 0: | | 41359/? [7:48:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 41360; scene = ['652d6e93f1197250', 'f8d2e1da9fab8c3e', '4738c550464831a2', '4d8fc16aa60bba1f', 'b2d49c84a61c4983', '25a02e81213b023f', 'b40f4f82b98255d4', '6610d80f8edf23ee', '4ada344aeea4b8ad', '08ec78054feb5353', 'cec46046c053260d', '7c2a0ab3523a9304', '4a8613ae55449952', 'b6dc9bf5efafc2c9', '0197f9c76ffe37f4', 'dc4f99e729cb8640']; context = [[20, 85], [8, 94], [37, 127], [167, 227], [84, 156], [46, 126], [3, 58], [108, 185], [0, 73], [12, 82], [0, 53], [158, 220], [58, 130], [1, 76], [6, 71], [14, 102]]; loss = 0.009755 low_pass_filter = 0.300
+Epoch 0: | | 41369/? [7:48:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 41370; scene = ['42474d2341a3c55f', '4a7db356a3dc0803', 'd97362a1ef47bca6', '768c7eeb58db7cea', 'e40b1d559ccedb4d', 'dc0cac2190275855', '11cd99e2cd274b62', 'adb394a7cad27fdc', '295bb11f848613c1', 'e8c465654329baa4', '73b0f5e4d3c173f6', 'c4bf2152a0e7adaf', 'f247f6af52790472', '58e8e6dad2fdcfbf', 'c03f0fd23901bbda', '56831578d232b718']; context = [[8, 61], [29, 80], [7, 84], [2, 58], [0, 52], [166, 256], [8, 72], [8, 98], [0, 45], [39, 96], [49, 132], [67, 143], [117, 171], [3, 55], [120, 190], [1, 46]]; loss = 0.009013 low_pass_filter = 0.300
+Epoch 0: | | 41379/? [7:48:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 41380; scene = ['24e1642761ed2ebb', 'b011fb585330edac', '3561258af910da67', 'afd52eb8f1650661', '256301b03aecd7d9', 'c3a4402cf7116541', 'c9a10949b21f67db', 'f200ab4d6709a626', 'cb8acf06bea4fa67', '13f706ce05d5746d', 'ed0f0f7c77d4a4c2', '4277d982646685fb', '1b8cf205ff599ca2', '6c4cb27d617151aa', '8624ee0839cb6e4c', '823a32785927191a']; context = [[0, 73], [35, 96], [0, 45], [3, 93], [86, 139], [59, 128], [0, 62], [0, 61], [9, 90], [44, 117], [33, 120], [116, 174], [1, 64], [21, 73], [2, 71], [17, 68]]; loss = 0.009477 low_pass_filter = 0.300
+Epoch 0: | | 41389/? [7:48:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 41390; scene = ['6f4af7195e3a97b7', '25e1057952554e53', '43866713556dd0ae', '72ddf898c94766dd', '515754f1d2815313', '2da1778385f8c639', 'cbcb2abdd4e34eb2', 'c276a84752d08110', 'da1d49941f6b109c', '99895aa9c099df4a', '3d66d2e5206fd59b', '90045f80b67d2818', '4613d1684d150a85', '5cb155f519907630', '77c68df6ffab9331', '85bac0ef26caa52c']; context = [[19, 92], [42, 87], [0, 72], [57, 132], [5, 76], [1, 91], [82, 139], [7, 71], [85, 140], [79, 132], [16, 70], [78, 139], [17, 106], [8, 92], [14, 86], [6, 61]]; loss = 0.011880 low_pass_filter = 0.300
+Epoch 0: | | 41399/? [7:48:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 41400; scene = ['b0dbf60f56f2a965', '771c41bed44766db', 'bae0c4a08568d412', '805bf33fcc837bbe', 'b19df5f2fd690927', 'e094ca6cc9b87c2f', '606358c338d38f6e', '9b23277971f37b17', '2666f4d45ee85413', '9e6b1fc2cb9e258e', '35cb6d1706d23123', '65704a3be6ef97b0', 'c150a69d763e0fd2', '9ef218fc0b3aec1d', 'f56d4aa7031f63d4', '78dff24134373857']; context = [[49, 118], [22, 70], [63, 124], [36, 117], [56, 111], [25, 104], [8, 88], [2, 83], [0, 58], [21, 96], [62, 131], [43, 127], [29, 115], [0, 45], [0, 53], [14, 73]]; loss = 0.009486 low_pass_filter = 0.300
+Epoch 0: | | 41409/? [7:49:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 41410; scene = ['d440a1d79e21c351', '16ca0782bf0e2517', 'f8b97071c3db77f7', '75a19417e9ba74aa', 'cca58498a1187b97', '470c10c89ebbe268', '3294d351159f7f8a', '884cb963a1fd3567', '400de93f07b31ef9', '521ab09b75f9f05c', '7e35fff1a63d375b', 'ccc911bfc1da5add', 'e13c05a47e3ccd91', '68a9071e174440c0', '3dca9c50e63b5ab2', '8bdbfd0298e5b696']; context = [[54, 122], [10, 84], [27, 87], [22, 79], [74, 124], [34, 95], [20, 107], [172, 254], [14, 102], [7, 79], [84, 167], [125, 176], [49, 105], [12, 89], [76, 147], [56, 108]]; loss = 0.015485 low_pass_filter = 0.300
+Epoch 0: | | 41419/? [7:49:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 41420; scene = ['41fffc6d9d335b3e', '669108f020ce9326', 'd0333dc4a7fe1439', '75c251fea8145421', '06678f70a4f95b2d', '956b787fa6250691', '69a74d6dff7e4ecb', '9332241d744fcc89', '709476c26a219c69', '1c782a6280f77698', '72da2d7f756b1fd0', 'c10d7356f8a3a3ab', '3e8a7a45047fc892', '2054cdda3bb0e2fa', 'ffae0c358d55ccd6', 'f62a962df5c26a1a']; context = [[6, 52], [18, 87], [42, 126], [109, 186], [26, 87], [0, 56], [131, 193], [56, 133], [9, 66], [5, 62], [26, 88], [36, 115], [11, 69], [57, 122], [11, 98], [1, 62]]; loss = 0.008437 low_pass_filter = 0.300
+Epoch 0: | | 41429/? [7:49:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 41430; scene = ['38c2f919e61f375e', '10624fc8f33d3a0a', 'ed074cd40dc33596', 'e2128a609ff89c4b', '4ca6ed1cf7349efd', '100c4c3fa1794647', 'dfe78eb63cd652e9', '1c124b91c6ee92a5', '938865f6756c2301', '8ec27dc882d87cab', 'e79947f7de6aaec1', '5f1df53ecde43f53', '5cd4bb35d88b3270', 'c5cbc9e55a232810', '6633e46bac1e9dc7', 'a1541d6ccd3dab8e']; context = [[5, 80], [22, 75], [55, 112], [3, 84], [197, 248], [5, 87], [46, 91], [13, 101], [37, 93], [21, 111], [13, 100], [1, 68], [8, 54], [17, 73], [64, 113], [71, 121]]; loss = 0.010628 low_pass_filter = 0.300
+Epoch 0: | | 41439/? [7:49:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 41440; scene = ['f997c86bffde9ee6', '21e7ab7fe9d8753b', 'd344bf71d760ff5e', 'e41c98366fe40b7b', 'b203ae51167b67b9', 'c17f62a29673e92a', '36b7a7b6d4f3e005', 'e3cd7c908d02a227', 'c77436d9d154f154', '1dc1e640b33ca268', '5f8a197f2b75268d', '9ea0fdf572a31a45', '348a9219e5bc0afe', 'e6feeeadb3fb35fe', '0f33218ed2e3b539', '2d4b4dfacb4b212f']; context = [[4, 58], [88, 178], [6, 91], [47, 105], [32, 89], [19, 82], [14, 62], [6, 90], [21, 109], [49, 102], [3, 56], [0, 71], [175, 235], [131, 218], [4, 61], [13, 60]]; loss = 0.011222 low_pass_filter = 0.300
+Epoch 0: | | 41449/? [7:49:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 41450; scene = ['297b64e30f27b9d2', '0f62ec5c20682f71', 'dbac9841157230ce', '2b15c8704aaa87ba', '11e03af37641ef94', '9e51a99feef1e713', '05d1ee85e648c633', '99815fa8f92ad59f', 'c1b95c0f940b99ac', '4a879f4e55a90f54', 'c39a47d89d432835', '72c0fe33e5b64b8d', '4cc817cee906f5bb', 'cec1e3207cec9019', '78e1bf2436ff2f3f', '56a791622a84e3b9']; context = [[4, 57], [113, 165], [79, 138], [11, 84], [33, 108], [1, 65], [10, 64], [0, 59], [90, 155], [118, 203], [37, 108], [62, 112], [20, 71], [18, 73], [18, 69], [15, 68]]; loss = 0.011006 low_pass_filter = 0.300
+Epoch 0: | | 41459/? [7:49:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 41460; scene = ['351acba755ebeddb', '0f8c41f469cea050', 'aeb22e7070c7ebc7', 'ce4bbee3dd973953', '13aacaa9bfaff3f1', 'a410f6b0ac0ea757', 'f013b6c547a10306', '6d34d343b03f926d', 'bdc6b765ee1ee3e8', 'a481b79548f9abdc', '02fb6de8c497b963', '4ee6200f31e3134c', '8e20ab013d98087e', '69acf7fee12cf0c7', '0065a058603dfca4', 'a480e387201663b2']; context = [[21, 107], [13, 64], [0, 70], [25, 73], [8, 94], [28, 108], [82, 141], [7, 87], [72, 153], [124, 186], [58, 107], [22, 105], [48, 135], [28, 116], [59, 116], [61, 151]]; loss = 0.008342 low_pass_filter = 0.300
+Epoch 0: | | 41469/? [7:49:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 41470; scene = ['1ceb7b74d5713faf', 'acc6c20b665c730b', 'cc4f72cb5178bd1d', 'fbe2265ed5669a2a', '6d1f4a1862468141', '0a8e96b2e5945946', '90ae5b68ddc59938', 'd5cf929dba93e0ed', '06d407e4d8af8407', 'a6c74ca21a415525', '0e13f558c8ad2abc', '0a7c736b15471316', '557042b1936b8765', 'e714d73d9fd0a500', 'e782d3532e6907c2', 'ff3c5719e91ed7f2']; context = [[55, 128], [0, 69], [26, 96], [10, 61], [4, 94], [69, 120], [44, 121], [5, 81], [35, 82], [29, 87], [7, 65], [8, 68], [6, 55], [82, 147], [12, 82], [40, 120]]; loss = 0.012169 low_pass_filter = 0.300
+Epoch 0: | | 41479/? [7:49:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 41480; scene = ['19e2d9003bc31363', 'cadc22205296742c', '3eae4ba835287803', 'ae692b758265318d', '98a8828ad2bd1d1e', '7433c844136c5cbf', '74340c79b94eac7a', 'd42d236f6214408c', '6f25767608b175d7', '892ead239b640a7f', '1eb860b65c4c5afd', '3c9379a9dfe24984', 'eb8009c38058b998', 'c22159ade727838b', '9360fd7017cc421d', 'da5a989cb39c8210']; context = [[42, 105], [0, 60], [8, 80], [18, 64], [2, 57], [0, 87], [0, 47], [35, 118], [18, 101], [59, 138], [42, 120], [0, 52], [7, 65], [6, 94], [7, 76], [0, 81]]; loss = 0.009051 low_pass_filter = 0.300
+Epoch 0: | | 41489/? [7:50:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 41490; scene = ['97568a7f147a654f', 'f62a48672f8acac7', '632384f4c6834aea', '028c6f1113a68969', '8cacc3596b722653', '555f1845dcb38293', 'da794864ac5ff11d', '83d154863471b87c', 'f95facdccf8cb319', 'a2ec0615e2fb379c', '6f82fc8f2c6cf936', '769783c83e98144d', 'd24023f4b892279c', 'a06c5145c9419ec7', '746a2e815cddd8ab', '8acffd95fbf48c10']; context = [[4, 81], [49, 123], [184, 258], [6, 68], [31, 101], [0, 78], [19, 81], [195, 253], [173, 255], [34, 101], [12, 83], [4, 51], [2, 48], [84, 142], [112, 202], [216, 272]]; loss = 0.011510 low_pass_filter = 0.300
+Epoch 0: | | 41499/? [7:50:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 41500; scene = ['1b85a629e75682d6', 'd411e46a9975e95a', '999340d07b3c1f01', '67985c404f000727', '26cf73d2eb11939d', '0edfcb7e7578256b', 'b1d62a9da799a54b', '4068f00bd881cddd', 'f6066db31c658d1a', 'ddd2fd3db0b2197c', '9dd77e2add2f3ed4', '7d28350d7344ada2', '6186b4ba6e4b8000', '45103e44aefd4928', '7d47869067783405', '94c8f1c6ee33001c']; context = [[172, 238], [104, 174], [0, 45], [80, 133], [10, 56], [71, 137], [81, 168], [45, 128], [0, 63], [2, 80], [20, 69], [140, 216], [21, 106], [2, 51], [49, 115], [5, 77]]; loss = 0.010076 low_pass_filter = 0.300
+Epoch 0: | | 41509/? [7:50:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 41510; scene = ['498070d8ece368c7', '7f373c1d63fc0e8e', '0e04ac8477cdc1ba', 'e4554693e881d6be', '67cdb94d2911494e', '13e9968df59dd316', '7b6802baf4779efc', '13de7469e2069270', '268412437e9d4613', 'b30ffcaff8599d24', '5e1eb12727087b20', '2a91efabd709544b', '00c7f771cf92741a', 'bdff8b33200a0442', '70f118b2c78f945e', 'b9af4d213b624caa']; context = [[2, 55], [43, 103], [20, 79], [10, 56], [21, 74], [29, 106], [15, 60], [59, 124], [9, 62], [74, 164], [4, 84], [20, 81], [3, 74], [5, 78], [5, 61], [0, 71]]; loss = 0.011943 low_pass_filter = 0.300
+Epoch 0: | | 41519/? [7:50:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 41520; scene = ['165fb1e7a4e9671f', '37bc599a6783a226', '7f195cdf60bcba61', 'a9ad7c120b3bb219', 'bb5fc072bf444b2d', '9363a558aa68d23f', '6a42ea1890a306e5', 'ae6e7a7fb665429b', '8d5f9e6f3757efa0', 'a60c53777fe14111', '6e3486f534005c31', '976f694a50452c78', '25a58d36fa78c387', 'ed91bd6d1b927b76', 'ac4429b8b00bbd4e', 'ff5c14fe7d64c752']; context = [[1, 53], [16, 71], [5, 68], [60, 145], [46, 114], [3, 64], [48, 131], [9, 98], [0, 69], [12, 72], [131, 208], [4, 86], [3, 83], [18, 84], [65, 135], [82, 131]]; loss = 0.010640 low_pass_filter = 0.300
+Epoch 0: | | 41529/? [7:50:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 41530; scene = ['a33114a79197c262', '761d3028a4027ec2', 'b58ad668ed5946a2', 'f8372a143e797098', 'e0444ad6a518bfae', 'af11d275959fa201', 'c2df7153b4663989', '6b86d3bf33fbaeff', '0e22c9b1805cb488', 'b08a9a8a1ae3465c', '218e8f36b7cf1179', '1e573707cecc70e1', '2191e4743d3e863d', 'a2aa09aac3869f4e', 'acf17336705da39a', '876a778fa507f286']; context = [[0, 66], [0, 54], [9, 68], [2, 87], [159, 206], [46, 124], [11, 83], [2, 49], [6, 71], [37, 85], [16, 65], [6, 53], [10, 70], [125, 174], [2, 51], [41, 123]]; loss = 0.009678 low_pass_filter = 0.300
+Epoch 0: | | 41539/? [7:50:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 41540; scene = ['e19e727ca26aa763', '5dc3bfb193417474', '6e246ece8fdd2a1c', 'aba8500bf55e59fa', '4ea37df2f9dfda32', 'bbeb5d738b8da0c1', 'e30553db7c558402', '1779cc65f3853e34', '024db652dd001772', 'f2685cf241827826', '254d6c6b8f9508d0', '5ecd4f2761d9877c', '6be67867ef006e73', '775726506dbf05b3', '0b13ca88611e6d29', '5e4c7d3038be2c01']; context = [[12, 100], [12, 57], [52, 98], [1, 70], [16, 66], [53, 116], [123, 206], [133, 201], [1, 53], [11, 66], [4, 55], [28, 77], [21, 107], [15, 60], [41, 88], [94, 178]]; loss = 0.012716 low_pass_filter = 0.300
+Epoch 0: | | 41549/? [7:50:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 41550; scene = ['3905d70e14fda600', '0919ccc8b33d5b77', '4c5a010abf0bd853', '9fea8e828b80af94', '8b1412223dba89db', 'a16d169ffb5bbf5f', '122403c4c6d5ba14', 'c4dd0b797b092d01', '816e80127f6e5599', '121fb6c566d5fc04', '2177800a0b750724', '6b7e4909924a2a46', '78d3fa13abfd11af', 'f5e28bbf33d46b67', 'e9b1b085ebc4f705', 'fe56991a6957c763']; context = [[118, 183], [19, 95], [20, 68], [11, 63], [180, 267], [7, 55], [9, 96], [0, 63], [12, 88], [1, 52], [53, 125], [2, 47], [0, 46], [1, 49], [20, 108], [2, 85]]; loss = 0.011239 low_pass_filter = 0.300
+Epoch 0: | | 41559/? [7:50:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 41560; scene = ['7ca70ebea20f9f0d', '9b7da6330793c183', '2c7204eaa40a2ee4', '4b7052ebde7c2201', '8744d594a6b6f3d1', '0a013a7ad5bdecd7', 'e24e7b04d40e5d7d', 'da7bb9815103472a', '7221fcf1835169d4', 'dabbe275dfe69077', 'e86b5e9968a1c865', 'c33a280526f9580f', '9b2bbbd898650e79', '0d6742154bb1640d', '023a009030046924', '328869e247a9c83f']; context = [[77, 138], [16, 64], [39, 93], [67, 122], [45, 100], [5, 54], [4, 56], [126, 185], [11, 70], [3, 48], [14, 62], [1, 46], [10, 94], [20, 89], [11, 94], [1, 61]]; loss = 0.009918 low_pass_filter = 0.300
+Epoch 0: | | 41569/? [7:50:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 41570; scene = ['fa37e761f75ecafb', '50d4b94e765284c2', 'cc155e5c5b49b6f8', 'c9e4480bbfb4e0db', 'a079d54e5e92105e', 'ced2fa332f79e8d7', 'a0bb4a665ee9fd46', '3c6f08385f14dcef', '1ff9ce1364d2efb1', '863150365b96d490', 'b567b028a8f5866a', 'a9a48de4023eeb04', '43b7abf89a494856', '4d60cb7b128ae762', '6cb8cad45aa47eeb', '5c2d38cc35d303ff']; context = [[4, 56], [0, 45], [17, 91], [110, 169], [15, 82], [109, 188], [10, 67], [94, 143], [3, 72], [5, 78], [5, 72], [24, 86], [119, 195], [121, 207], [17, 89], [116, 184]]; loss = 0.010528 low_pass_filter = 0.300
+Epoch 0: | | 41579/? [7:51:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 41580; scene = ['3a06c662b556f35d', 'c9195c7cc27ff346', '0b389c4a73899369', '3f7ce97ea5dc6230', 'bd29dcaa29c13ad4', '52ab66762e9d180c', '7cac77b4583a1767', '9acd902cc71984cf', 'd048fa6c7b0feb24', '83a7fed1431bcc34', 'ce83cc650b802021', 'f33b562e80c8da20', '2209341e8bd65dc2', '4ad89ebda1a41a62', '90af47b784746da8', 'f6b63e20382a6052']; context = [[22, 74], [72, 138], [87, 155], [9, 81], [54, 114], [3, 58], [3, 48], [158, 238], [65, 153], [70, 136], [35, 116], [6, 74], [63, 114], [9, 87], [23, 93], [197, 255]]; loss = 0.015769 low_pass_filter = 0.300
+Epoch 0: | | 41589/? [7:51:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 41590; scene = ['c2ac8ef4459af817', 'ff47d0c7e81c3943', 'c16696d55dc929b2', 'de54aba01955af97', '73a5af87f854aa5d', '6e16f2a6fd80bce9', '1ef0cba4ecae4ed7', '5c0a8d4d61b56c5d', '48444b439f95a35a', '3acd2a0d166e55fd', 'c6cea245140c3f81', '11ce93a3b415329e', 'a6f85aca012d064e', '6e3783660c06d66a', 'e9dff02bf0ea5022', '88f14a6ebd352597']; context = [[6, 92], [174, 240], [5, 86], [70, 151], [8, 56], [1, 79], [11, 97], [11, 83], [34, 92], [137, 208], [7, 67], [7, 76], [24, 78], [9, 88], [7, 87], [27, 80]]; loss = 0.010477 low_pass_filter = 0.300
+Epoch 0: | | 41599/? [7:51:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 41600; scene = ['0768f21ad0630461', '655bcaf421fdc40f', 'd4bd95f0a398f630', '5a4a1a47759a6c0b', '2efc3baf2ea0c6ed', '8856d6c682a40bf8', '1a7a454827491346', '9b45d2ca1091393d', '980bb6a8e697363c', '4e442aff3cae4436', '31f3c422b937347a', 'ad56e3e83cfd72d6', 'cbf2a6a5dea2e360', 'e2202f60a31710bc', 'adf7133ba050a0e5', 'c7551c5c12d6c8aa']; context = [[2, 48], [0, 54], [13, 79], [4, 59], [9, 61], [3, 64], [26, 88], [38, 112], [1, 50], [45, 131], [2, 91], [39, 126], [3, 52], [88, 144], [23, 99], [83, 160]]; loss = 0.011428 low_pass_filter = 0.300
+Epoch 0: | | 41609/? [7:51:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 41610; scene = ['ec0b422b890cfdb8', 'd6277b107e1ac96d', 'fbcc4a789de56b4b', '3f4426d573dcbd83', '2d3f2fbfe31fe9d6', '04a108af10dbbaf2', '81f56e1f6d64e4f6', 'b2890a9df7df5d67', 'e64efca5f4c656f1', 'b175f82961daad12', '40ce3c51bcf5939e', '7534cb5edec5f0a5', '821c639455378f86', 'a47515dac8f66d3e', 'f22fc2b3c9f19013', 'b81f8affbd4806c4']; context = [[26, 73], [33, 104], [4, 73], [12, 84], [22, 95], [112, 198], [11, 84], [18, 106], [116, 174], [4, 66], [28, 79], [1, 68], [6, 62], [79, 158], [11, 61], [25, 87]]; loss = 0.010601 low_pass_filter = 0.300
+Epoch 0: | | 41619/? [7:51:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 41620; scene = ['9a5a417c708dcd2d', '65f21b4e27c1e26c', '09e14846fbca0bde', '81637509e07d2f70', '46bc953615be05fb', '08db89a1f93cb339', '219cf573d508d23d', '3d896caec571f0c5', '4774ac3c0d87204a', 'd7147c4bf4c85bfe', '5dab5955ca910d26', 'f2a043c2bf7dd45e', '5705a9af99505ea3', 'f7dc4697cd71b0ab', '9d5a8743f862007b', 'fc6479bd5c3fe413']; context = [[19, 93], [5, 75], [2, 58], [135, 185], [98, 177], [156, 233], [24, 86], [5, 93], [95, 174], [37, 100], [0, 76], [12, 80], [139, 202], [16, 72], [0, 54], [139, 209]]; loss = 0.012730 low_pass_filter = 0.300
+Epoch 0: | | 41629/? [7:51:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 41630; scene = ['39bed9009ce3e290', '3ead2b6b98af435f', '1302e9119a1cfa72', 'fe341ea0810284ca', 'e456788b15fc11a7', '6ddba7bd6da995eb', '99b3595c01c7df52', 'f2dbde166e73e4a4', 'ce33781f591030bb', '98ef8ce391512445', '85757ed461659176', 'b5abe7e54f298547', '7d246d2b4aa0ef24', 'e6c39898a4c1f088', 'ac0ea7b9f04b7df1', 'd2ac65551cdebc9f']; context = [[73, 138], [75, 143], [0, 83], [27, 89], [60, 110], [20, 89], [122, 193], [26, 73], [0, 49], [62, 139], [40, 111], [57, 111], [19, 85], [2, 72], [30, 82], [12, 85]]; loss = 0.012359 low_pass_filter = 0.300
+Epoch 0: | | 41639/? [7:51:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 41640; scene = ['9d3f195e8d854334', '4102c95a9026d0ee', '6f314baef40789e0', '5b6ffc1737e0b9d1', '1b40e8f1f25b0e73', '732acd98ac4197e6', '55bbd93d2b19cf59', '49fc667ff679205c', 'cfc5f9298ced6d9c', '8f669ff171c957d2', '5f07e3aa7ddc5cfe', 'a350884f04cfd279', '5cc61e57a10f59c0', '807b61d9c72e3a6b', '3719de4d5af2ad59', '46be760afd3f468d']; context = [[13, 74], [1, 76], [51, 99], [37, 86], [13, 69], [12, 94], [73, 140], [2, 64], [5, 72], [18, 67], [84, 158], [10, 65], [72, 158], [42, 122], [3, 65], [1, 52]]; loss = 0.011877 low_pass_filter = 0.300
+Epoch 0: | | 41649/? [7:51:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 41650; scene = ['91188f3f75824ae6', '5b24cc641fd8e56a', '970d8b8f32b657c7', '32a01427f04b7038', '08795007f7dbe014', '7623ff6b4eaf4cbd', 'bf7e6ccd727d101e', 'eb91912e63633cdc', '8f3e0781466f9752', 'a50ad9f471067a18', '1450f9c17a54d723', '613b15bcf32abe86', 'a43792bfc6bcf95b', '274f6397d8da559d', '0a7d39becb0a9771', '42041e0a1d0a2be3']; context = [[44, 110], [34, 117], [6, 60], [49, 109], [129, 203], [11, 79], [24, 69], [43, 99], [31, 76], [112, 186], [7, 86], [23, 113], [31, 105], [66, 134], [22, 94], [0, 45]]; loss = 0.010646 low_pass_filter = 0.300
+Epoch 0: | | 41659/? [7:51:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 41660; scene = ['fbffb9c21146ae12', 'ef8abc1b989a812c', 'b4bfd76a9c071c79', 'f13084d6692c6510', 'fb4d48424bf2f030', 'eeb5c563af1bd027', 'f91b5035c92ed587', '8fc141c868e7d6f3', '0505defd59ecbdb2', 'fa2b6fa80b99125d', 'e2b2ec19777a57b1', 'a17833025aa5db5d', 'f06d8f7b16e9873c', '9f1176b8b75fa7c7', '5cf42e59740b8d9b', '5682c35475096f09']; context = [[39, 120], [15, 90], [72, 152], [196, 250], [3, 76], [28, 109], [19, 107], [6, 64], [224, 277], [3, 57], [20, 68], [0, 63], [151, 213], [15, 71], [155, 204], [6, 76]]; loss = 0.010004 low_pass_filter = 0.300
+Epoch 0: | | 41669/? [7:52:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 41670; scene = ['e3671828d14a9106', 'abd07a71f19759aa', 'dfe8c32f21d4e1ab', 'ffe2fb4a8427467b', '97e9ea755077ac70', 'f1be0daea4462dd6', 'b0b927381cfb029b', '1f933c21bbd26682', '1176e233bfb25a61', '61b60c1a300d909c', '3d3c86d6e062354a', '18e1ee537cb4b0c0', '5a59e99413560926', 'e0d9b82ec72e258f', 'bf0d03380474d38a', 'cee7db39524bd776']; context = [[6, 82], [8, 76], [12, 99], [126, 211], [1, 80], [3, 73], [82, 127], [39, 92], [10, 74], [8, 57], [11, 78], [88, 168], [7, 89], [14, 100], [5, 92], [0, 58]]; loss = 0.010928 low_pass_filter = 0.300
+Epoch 0: | | 41679/? [7:52:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 41680; scene = ['bef8ddf164b8c48c', 'f317f9ce9a6abd39', 'c91b2a4cab7956e6', '0525d757d0bbed8f', 'daf1b72247607b04', 'a110555f597cd182', 'b3270974687b5968', '7572e19e7464340a', 'daa7f78ff49a91e7', 'e033e0d7c1dbc70f', 'b5228b26c99db999', '4fc0da76742961cd', '7d4f88d897aac9e1', '629506e3f6b8d7ab', 'ba7ccf57b2511a90', '692c8f1a1ba8d95a']; context = [[17, 86], [12, 70], [9, 66], [185, 247], [3, 58], [9, 75], [69, 118], [10, 69], [3, 71], [9, 77], [6, 53], [7, 72], [7, 64], [12, 86], [3, 63], [23, 84]]; loss = 0.008723 low_pass_filter = 0.300
+Epoch 0: | | 41689/? [7:52:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 41690; scene = ['36aade8d48bfd9a3', '74e0443fbbce9f58', '715b259ea9988c79', '9d0293f0ed846ad1', 'bf7db154feb5eb9f', '390557ef1032ca38', '3ecaaa549fe1e67c', 'fdd0d5347351be50', '2f1e27162ff516ec', '118e9c23dfbb31c3', '383a3d9cefe3e1f9', '8c62e67fd9990797', 'fbcefd09c3df466a', 'cf6d9f65c85e1a74', '351edb4a62ab2e6b', 'c8dcf2f744fc157d']; context = [[42, 92], [100, 171], [50, 98], [5, 85], [0, 56], [0, 53], [4, 59], [0, 78], [23, 102], [3, 88], [5, 66], [32, 94], [34, 98], [9, 69], [26, 84], [16, 88]]; loss = 0.009915 low_pass_filter = 0.300
+Epoch 0: | | 41699/? [7:52:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 41700; scene = ['b879c79a9c46e9c2', '2b63dc474251e9fd', '773672fa68feb0e5', '40f0adf015542ac4', '9e1d6f2502c05044', '9078703d92dc9e6e', '64b638b1acb1c95b', 'a5f7d3b8bbecabc1', '66423787a1b22e65', '72eb2027396a78a5', '2d6bd788c7a9e7b9', '4aec5927198a97da', 'e910143115e8ed0a', '25e9ed466c1826e3', 'cfd49a8723e2f1eb', 'bffd28466912a768']; context = [[11, 60], [2, 53], [2, 61], [0, 50], [0, 83], [8, 65], [75, 161], [12, 90], [7, 58], [0, 62], [38, 99], [45, 91], [5, 71], [41, 103], [166, 252], [3, 69]]; loss = 0.008874 low_pass_filter = 0.300
+Epoch 0: | | 41709/? [7:52:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 41710; scene = ['47f0dfb0693f6c43', '0dafe350e2f5aa02', '1c40367f8f64b13b', '43c7b433a726321b', '3757462619d15dec', 'e2e07c398e470614', 'f0e9e439d773ffe0', '06efe0146b2e5aa2', '2034845e359abfe6', '1d73a12a3a006b03', '703d8f552e7332bb', 'd6bd2d707ffadb41', '94c8f1c6ee33001c', '3d4952a1e8289a7f', 'ddc351e8ca2cd299', '6b503257ae05df64']; context = [[10, 66], [0, 68], [22, 103], [61, 149], [10, 69], [82, 135], [2, 53], [2, 52], [9, 70], [26, 107], [6, 52], [17, 94], [3, 81], [0, 61], [162, 210], [211, 267]]; loss = 0.010475 low_pass_filter = 0.300
+Epoch 0: | | 41719/? [7:52:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 41720; scene = ['238fee095f631e6a', '3256408a8d621dbe', 'c0d2d4f9c82235f5', 'b10eedbf6e248612', '2ebb9a89cfd43e8c', '7fe28874e9a523e7', '64508af4bf3b2c10', '22248456bae063ae', '088f04409263c55e', '921504f59fb80a42', '4aca0b9f5148e064', 'fe11db7072e7666e', '16f49e5091804328', '65fa0a94fbe48038', '896959276e244303', '0d1436b89f8de224']; context = [[9, 57], [75, 157], [6, 68], [120, 178], [3, 83], [0, 66], [2, 58], [87, 158], [8, 75], [0, 67], [4, 93], [37, 86], [19, 79], [8, 78], [35, 109], [52, 137]]; loss = 0.009390 low_pass_filter = 0.300
+Epoch 0: | | 41729/? [7:52:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 41730; scene = ['e3004ab618aa0b49', 'ac5dbf1f0fb8aac3', '1dc2b147a439848d', 'acf3fd0109a040b1', '6b4e967ca81ba41a', '728091edce9e3d54', '2e7b824b08d94fee', 'a637b8400669672c', '7b78a2113b0b67e0', '67693f88a026e955', '1319170a73cb514d', '791c6386a4340932', 'bedba1846d7b3f88', 'fa42604243a1cf5c', '6d727b8f5862a634', '7afefd271f2ff47d']; context = [[171, 239], [27, 97], [10, 97], [98, 146], [7, 76], [14, 104], [5, 78], [3, 66], [84, 160], [34, 119], [21, 86], [5, 70], [1, 63], [117, 186], [189, 234], [177, 257]]; loss = 0.011923 low_pass_filter = 0.300
+Epoch 0: | | 41739/? [7:52:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 41740; scene = ['840e6842fb5ba732', '16786b3b82992a6d', 'c5e2876b5e0e7265', '78d0ce3944e20e13', '8af8b514228fc5b1', 'd3e9e885f06cf2d7', 'eb76111359290980', '2f7d9c645f6cc733', '3fbed29020ac94d0', 'cc876c5d33ba1022', 'c31f12f994a9e2eb', '09d2dd751382079e', '45f8df6c049de373', '785a1e5ffc9dd226', 'a60d33091f7952fa', '93dde83dcd181a23']; context = [[46, 126], [108, 166], [19, 64], [1, 63], [1, 54], [35, 98], [10, 68], [5, 61], [112, 180], [61, 143], [159, 224], [188, 272], [133, 214], [14, 97], [46, 102], [130, 208]]; loss = 0.010513 low_pass_filter = 0.300
+Epoch 0: | | 41749/? [7:52:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 41750; scene = ['d00468d657637e58', 'de24e08882c2f2a1', '7af3ae39bafa42ca', 'fdea8b88ee5b83c0', '20e52dd69adce3bd', '02dfa1c2784f08eb', '7c25281ed9129369', 'a8618ce38df99d23', '7c03b5dcd8d67884', '927c1d583687a4a0', 'f86cf6a67566bbee', 'f0c1455efb8d4272', 'd196dc894157ca53', '83689b78310fab98', '51906f14ac9f95c4', '1b05efe10364c018']; context = [[66, 144], [43, 91], [27, 75], [21, 92], [5, 94], [86, 141], [113, 162], [30, 98], [98, 168], [5, 68], [1, 76], [5, 55], [130, 199], [18, 68], [27, 99], [19, 97]]; loss = 0.009176 low_pass_filter = 0.300
+Epoch 0: | | 41759/? [7:53:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 41760; scene = ['383cda64aae1e7c7', '7875d0b2da7d7a97', '5c957213aeb7280b', 'fd640c79a50c4d1e', '02521dcbad8779b9', '3a507b30935f9795', '73dd2ea04c16a665', '951ecec828d760fd', '086f30fec439adb1', '7a25ada1841b7ff6', 'e1475887269ba0a3', 'c05d8cf8670ab48c', '693d722638a2224d', 'e05502c85ae82e42', '13340b4c0df80e3f', 'a0718ebce433c95f']; context = [[7, 67], [14, 73], [49, 104], [78, 165], [24, 102], [0, 55], [169, 226], [32, 107], [37, 87], [80, 166], [45, 135], [52, 133], [106, 192], [4, 82], [66, 124], [26, 99]]; loss = 0.010724 low_pass_filter = 0.300
+Epoch 0: | | 41769/? [7:53:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 41770; scene = ['5516acbfaeb3c455', 'ff909d460f2ea5a3', 'bbdfd0941d4d279d', 'ed02f848dd02d61f', '4c73cbddc8726967', '180cd3034985cc24', '6185798eba1315d0', 'ad91b5890f8cd86f', '1a81dd5de456f254', '38c7cf7a3199eb56', '6ddbbeea20a3c44a', 'ec5a3410978f01c4', '50211eea27108ca0', 'ca3a044d9a37a544', '332a9eab3d114cf3', '67b643183e3b0239']; context = [[0, 61], [0, 45], [64, 111], [3, 89], [9, 91], [112, 180], [4, 76], [5, 86], [36, 94], [0, 68], [2, 62], [19, 66], [8, 90], [20, 65], [24, 79], [6, 63]]; loss = 0.010908 low_pass_filter = 0.300
+Epoch 0: | | 41779/? [7:53:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 41780; scene = ['d323823a3d8dc076', '52079a38d11843c2', '5e6e341001a8b693', 'c16752b5a01dec29', '3647ff5e90d6af43', '95a6fae4dbeb6546', 'b192a5f7772b70ec', 'f4f0f0d4a554cfee', '3e29b2bd42f47e28', 'bb8a1e105ddf619e', 'c8a3e26221c01162', '264e8509690b1ea2', '4fe25eb6dbfcf1a7', 'b0e181819c37efb1', '93daf4ce55a5d530', '93db697953cb8fbe']; context = [[30, 88], [13, 63], [78, 159], [4, 64], [16, 66], [8, 75], [85, 159], [80, 125], [8, 86], [5, 84], [15, 88], [61, 115], [3, 48], [69, 148], [161, 241], [2, 58]]; loss = 0.007942 low_pass_filter = 0.300
+Epoch 0: | | 41789/? [7:53:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 41790; scene = ['aea600cf5857c796', 'eeeef9bad8464592', '57c4350a67896dd1', 'd28dd035c45d7b06', 'b495905da7f31147', '5cd1fe08f13f6f80', '8e57d349dfa0b363', '9cc01f35f0cdb657', '776ad930ec1526dd', '18f86d6eb42e88a6', 'bc6613d82b011711', 'b9bfa33e34db7e78', '9b15e63ce336fd2f', '7eea579e137fd98d', '4fe4767f08df092e', 'b2495a3179123562']; context = [[22, 110], [3, 63], [22, 110], [18, 85], [28, 113], [29, 95], [99, 156], [176, 253], [29, 78], [39, 105], [13, 99], [7, 62], [0, 49], [41, 108], [97, 149], [50, 116]]; loss = 0.011150 low_pass_filter = 0.300
+Epoch 0: | | 41799/? [7:53:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 41800; scene = ['5450eb5614d8af42', 'a33838d396af29c0', '27f34df7cc8863e4', 'c2bf5ee569ba3681', '0c2a75ad7d5b971d', 'd1c6899b6c6ef917', 'd450bfc8d4fd93fc', 'fb6364b47d824180', '67fcd56243f81f4f', 'dd5ed29765330d4f', 'ea30bf8a65e93961', '019bf9d48f4362ef', '707548393b4bc8a5', '001c43a59a9e0b16', 'a356dab14e5662de', 'f8c5ab198f074c5e']; context = [[22, 68], [119, 180], [92, 155], [6, 51], [40, 106], [88, 147], [1, 47], [150, 223], [69, 151], [36, 92], [7, 56], [18, 104], [1, 75], [3, 93], [29, 77], [209, 266]]; loss = 0.014786 low_pass_filter = 0.300
+Epoch 0: | | 41809/? [7:53:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 41810; scene = ['5dbcbba490ec1696', '008ec1473e4ce029', '5a009a925d1f7941', 'c31a1cb20a151f9f', '0b3a912a284f41db', '8e5b8134c3e523b7', '0f62fa07d5678c66', 'eb44011752cb1c5c', 'c244bbdea2dd8768', 'b3aed3d4024f2045', '7e3f87e5affd253f', '3d1834e1cb8a0a56', '5b4327f91da2fa34', '7e6aaad4b4178031', 'fac49f6dbe07e555', '1706922b35a131c1']; context = [[39, 98], [6, 74], [30, 113], [77, 140], [140, 192], [3, 54], [0, 45], [23, 99], [0, 51], [28, 85], [45, 103], [5, 64], [5, 75], [8, 55], [23, 68], [13, 76]]; loss = 0.009056 low_pass_filter = 0.300
+Epoch 0: | | 41819/? [7:53:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 41820; scene = ['9ed566141bd48703', 'b281033b87f3c95e', '2b9cbd635854b62e', '6587a582e70da65e', '57d04a4f8bc1955a', '1193dcc37cc6cee5', '9b8096088a613702', 'b63963a25fe3c953', '7ecf7d574c35ed13', 'a8486b8f4f762d05', '2589ba4f31031bd5', '062a71646932bce9', 'afbfa60fb5a82685', 'be03554d52030624', '522e486762dd40e3', 'd934a2c5369cd5ef']; context = [[10, 80], [25, 73], [17, 87], [10, 92], [6, 58], [149, 236], [11, 86], [11, 77], [147, 218], [30, 107], [99, 174], [14, 90], [161, 249], [36, 118], [22, 85], [11, 87]]; loss = 0.033424 low_pass_filter = 0.300
+Epoch 0: | | 41829/? [7:53:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 41830; scene = ['e81bb19585fda98b', '4dd89c9e62c601a2', '1b29bfcdb2b14d83', '5979f56b953ff1cc', '5258d714dbd81b7a', '5ab82d98941fd59a', '4d40dbdbce44d5dc', '8233b3467c6f4f08', '80cd321297e1960f', 'f7cbb66b48c9008e', '899a88c42d19562a', 'a13f3056e60c07a5', 'bc7f04a3ec906867', 'a16d30d362a5ff7f', '9c74a21848354b9c', '1ebe12e22110e0a7']; context = [[21, 103], [2, 65], [27, 86], [17, 82], [75, 123], [91, 150], [16, 64], [0, 79], [41, 96], [5, 59], [41, 98], [54, 115], [61, 149], [19, 99], [113, 190], [55, 103]]; loss = 0.010029 low_pass_filter = 0.300
+Epoch 0: | | 41839/? [7:53:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 41840; scene = ['62ec095954643db2', 'e4879d0469c9d6d8', 'd133cdd425701549', 'c0e52f2c57ba518c', '4aea074984e32122', 'da0b21470c9520b7', '6a60ef9a8856cf5b', 'be22dc5d40ca5c8a', 'f70ad20529046f41', 'c4ff645e87ef2f34', '8e3551e8558f93d1', 'f47a5658e4a6e838', '9e18ca2d9250f7af', '4e517dd80eb623d0', 'e393a5328114bf24', '4caeaf8d27b8dc35']; context = [[13, 63], [2, 83], [24, 90], [8, 90], [34, 122], [136, 212], [3, 74], [25, 114], [1, 58], [2, 56], [3, 50], [22, 87], [52, 142], [158, 229], [0, 76], [4, 55]]; loss = 0.009932 low_pass_filter = 0.300
+Epoch 0: | | 41849/? [7:54:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 41850; scene = ['2946089a31aa5810', '815fc179de449468', 'd6211fae193ad931', '7b2f71462829b280', 'd00a6449d44d9822', '75b546b0482c602d', 'effbcd5b21e5b087', '4d77ff1e09cd1158', '3094f248b96dfe8c', '87247e6e4d43fa1e', 'bdf8f6b850d6dd02', '7c116fe539ee7847', '0dabb3d90ac5a16b', '73b00d7478902cd3', '952d3623a4b9befb', 'a5c361c22b789275']; context = [[51, 124], [4, 61], [64, 132], [86, 167], [3, 74], [35, 115], [4, 56], [4, 66], [20, 107], [95, 156], [1, 49], [1, 64], [20, 73], [28, 90], [11, 99], [25, 74]]; loss = 0.012326 low_pass_filter = 0.300
+Epoch 0: | | 41859/? [7:54:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 41860; scene = ['ee9c93086f82a626', 'b75d90c65923526c', 'fedac3f5aef8fd81', 'b194d521d939fe38', 'e89204339a7669ef', '0d93e2b216166389', 'a017b0cb12cc18ab', '50194a15c7538e1d', '3148978637e8f426', '541ae18b8f936d11', 'd5384f379810516c', '4bdef6c0c3e06ae5', '9024684dd45d925a', 'c719ca7c3e40e8d7', '41124e4adc65cee2', '52aedd18a6e301e2']; context = [[17, 65], [49, 95], [30, 97], [25, 81], [0, 75], [14, 100], [4, 61], [28, 76], [21, 91], [177, 232], [153, 229], [41, 93], [102, 152], [89, 158], [3, 78], [199, 246]]; loss = 0.010506 low_pass_filter = 0.300
+Epoch 0: | | 41869/? [7:54:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 41870; scene = ['2a97804c2c08b819', '7addead467bf9cde', 'c9fd47052ffbb2e6', '8a992755a8cf4051', '529e2387fa3fb753', 'f2613c70aa00b729', '9d9920122fe5ad51', '34fd67ae7b64925d', '809588a559d93335', '81a145b9b7d64d8b', 'd382296fbffe5f30', 'b043aa52d4a7b0db', 'f2c878b47a10992e', 'c4036a6e53239654', '7869661322e8f6a8', '74c817ce28582a05']; context = [[29, 113], [21, 83], [186, 237], [147, 219], [8, 64], [4, 52], [0, 45], [1, 53], [15, 101], [47, 107], [5, 50], [37, 83], [4, 72], [5, 55], [53, 109], [95, 149]]; loss = 0.009038 low_pass_filter = 0.300
+Epoch 0: | | 41879/? [7:54:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 41880; scene = ['a61efdc5c2ede23f', 'c9a65a24a9332e68', '210b0b6d01486fd9', 'fb32daf720b64da7', '08f858b77d2bf0ee', '5da281712a5579ca', '177871dd0267fb4e', 'd4e6772023080da4', '5477cf3b49317bb5', 'fc64e2ea797f1c20', '7ae9ce6aa1211914', '0d3a88f1ab3f5717', 'd8a8dc110167ff23', '0c8d8a68736d158b', '9b5b0457cd0a1fde', 'f4291ee0521ae553']; context = [[22, 80], [4, 73], [20, 65], [36, 118], [52, 99], [7, 75], [29, 85], [38, 97], [23, 85], [82, 172], [19, 85], [35, 94], [7, 58], [4, 72], [19, 102], [74, 128]]; loss = 0.009501 low_pass_filter = 0.300
+Epoch 0: | | 41889/? [7:54:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 41890; scene = ['cce7b7b831f93fed', '02cea6edb1b588e6', '89ad475d12af1821', 'cd4599abebf9d60d', 'b3f292e781b77315', '30aee98670108feb', '4fcfd03c65294627', 'aad7773777457cae', '7840587b79766a50', '56453c8b912ad0f8', 'abfc80bb9eee93b2', 'e33d4bd8288fc69e', '064259812e015154', '4ba784982056b564', 'ab04798f9ddd9aa9', '4577f77084d75acb']; context = [[112, 169], [53, 103], [22, 106], [0, 74], [54, 116], [37, 84], [49, 122], [99, 176], [93, 151], [39, 98], [47, 122], [191, 270], [58, 112], [15, 80], [81, 143], [15, 62]]; loss = 0.009857 low_pass_filter = 0.300
+Epoch 0: | | 41899/? [7:54:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 41900; scene = ['85006a271b4719e6', '71e2ce34ffd78138', 'c94d0b4d3856cbb0', '3aa0becd9ab1c4d5', 'fc83f9be2ea52f05', 'a19501d44c98a67a', '7726a5726cfc80b0', '40b6a27a0f5c66fb', '90f08800a0e95efa', '0a042bed0ad1e401', 'f87609d5183676b7', '9cd2647d88c67314', '4b135b575c9c5ef5', 'd7154ee69ea14c61', 'a7b8522c8c3153c4', '5d68ede0f829a545']; context = [[38, 91], [5, 56], [43, 130], [43, 100], [16, 105], [65, 152], [43, 131], [143, 230], [19, 92], [3, 73], [0, 55], [58, 103], [2, 56], [10, 81], [216, 270], [14, 63]]; loss = 0.011698 low_pass_filter = 0.300
+Epoch 0: | | 41909/? [7:54:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 41910; scene = ['0a0271d981ead75b', '8a0a93588ccdfbd3', 'd3711836cd0fac50', '79590833b9df5558', '5064ce9e88bb3f39', '0300f87d2ff368b2', '060a90d9a3af1a5a', '218ad16a0a54cab4', '31ab8f79c82a3b17', '4e5972ddf51ddea0', '6f164beac14b54d6', 'c8539a201de22003', '6b69daf57ed94a08', '03e86c713a19368a', '5cb68a057d09b157', '65c1d7ee44b2a2a9']; context = [[163, 214], [113, 186], [2, 48], [1, 66], [29, 76], [8, 78], [52, 135], [28, 73], [10, 81], [18, 65], [33, 119], [42, 126], [147, 228], [32, 110], [17, 94], [0, 78]]; loss = 0.009232 low_pass_filter = 0.300
+Epoch 0: | | 41919/? [7:54:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 41920; scene = ['4d93b0a1d23b35e1', 'cf53d87ab9557801', '6bac9522dd9bf619', '345208e1ad0a1f4e', '0c2c68a63c6abd0f', 'e5ffa80180a77906', 'ad7c648e328fad19', '046d75590f2a2769', '33cce4b353540cb4', '5f6230d18c679782', '45de740754866f93', 'b733def1f2d6f475', '202a0b47ba9ae6e7', 'fe55cd1565d9cb79', '0223c85e8003b7e1', '9ceab0f597c2a4d9']; context = [[55, 135], [43, 118], [3, 72], [50, 110], [62, 137], [0, 85], [53, 105], [32, 99], [54, 129], [43, 130], [147, 207], [33, 82], [33, 100], [21, 83], [34, 90], [47, 99]]; loss = 0.011766 low_pass_filter = 0.300
+Epoch 0: | | 41929/? [7:54:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 41930; scene = ['f8691ed394b8914d', '3f5894a461b1c692', 'a77791451d3b6b29', '49352807c804e770', '03f2504123909705', '682ad474d6d76c69', '37bc704ab2d09963', '8f9b2fc1d42464eb', 'f61787a6705d3600', 'c38d6a55cd1b57e0', '3f7f202a7d0b61fd', '246ea07f84d23963', 'f7ce09fbe4576358', '10bbf86e1381ff4e', '43bf5c9853912e6d', '7fe9dbaa9948510b']; context = [[4, 86], [75, 127], [2, 50], [67, 141], [4, 60], [24, 94], [129, 188], [67, 143], [41, 93], [46, 112], [7, 84], [3, 82], [43, 100], [23, 110], [13, 85], [35, 90]]; loss = 0.010419 low_pass_filter = 0.300
+Epoch 0: | | 41939/? [7:55:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 41940; scene = ['3241185f253cbefe', 'c2cdb9a6527a06b8', '57175f0ed3caaab0', '3bbe67a40f903aa2', '7422ee93f21a3447', '666bc6592852466e', '4a63558a9d7092e3', '0cffc79651746ff3', '8a04484039596f79', 'fce8af770747f551', '35dceccf2eb0d701', '4b63a61085154ed4', 'd7ba9382e3c976d0', '9650042fbf74face', 'ce15ff0fb9c8d2ef', 'fe680481685483c7']; context = [[35, 111], [136, 216], [65, 133], [29, 81], [25, 92], [3, 70], [2, 74], [14, 61], [6, 69], [56, 104], [20, 67], [31, 114], [6, 73], [14, 66], [0, 59], [28, 108]]; loss = 0.010260 low_pass_filter = 0.300
+Epoch 0: | | 41949/? [7:55:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 41950; scene = ['e96e8eac70fd14c4', '23358c2cc3e7e8fa', '32f7b46d278e4954', '5542c47d00e5ad3f', 'f30398f000a252c0', 'a92ec569ae5c2a73', '5c1d013893a69fb1', 'a1fa4bf737381a53', '9662f49b6a764dfb', 'da1f9f2859b59142', 'e620345f5468d2e3', '633fa0194a012d8c', 'a1ff280651bb5e19', 'cb72c6bb904fde17', 'eecf7db21e587528', 'b351d2c9017e65cd']; context = [[19, 66], [33, 120], [8, 73], [138, 226], [5, 72], [3, 60], [71, 157], [49, 126], [11, 101], [19, 102], [128, 211], [2, 52], [10, 76], [65, 127], [30, 104], [6, 63]]; loss = 0.012219 low_pass_filter = 0.300
+Epoch 0: | | 41959/? [7:55:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 41960; scene = ['de2ea3a3d17f95b0', '59e7c3a5fcd5bf16', '1b6ebc703d3b9697', 'd8196f65063c42b6', 'e68309f89fff255d', 'c4359a079e27d441', 'bc2eca34027df8aa', '6dd4fb3dbef4c963', 'a5e62b760ec6ca2a', '279b987bfb5f8d3d', '51ee504c7ec5dc8f', '4465e0bba146a369', 'a981c29bc5c30f17', '7546a4733dd1d072', 'fe50b06ab180e0a3', '32374c6524a6cdd2']; context = [[12, 98], [102, 192], [11, 91], [88, 160], [19, 108], [7, 55], [122, 208], [204, 249], [43, 106], [43, 94], [20, 71], [55, 118], [84, 140], [16, 70], [8, 63], [42, 99]]; loss = 0.011694 low_pass_filter = 0.300
+Epoch 0: | | 41969/? [7:55:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 41970; scene = ['8cfa50d79d888b55', '55dc01f667d64238', '6ef0509816394c23', '470cf16643b7fd18', 'c4cbc6ecb8b6850d', '2cd1fefb3b7a4568', '5795e0053ee5cd8c', '1b94e9727e48d256', 'e0a8336e8a7caa1e', '190007167fa625a6', '30e0602692bddfba', '152ed7a6a53d7871', 'd0cbaa6c27440765', '4f73d609ce0ec6ac', '85d90a9057fac257', '637eadee47dd1ae4']; context = [[4, 62], [0, 55], [5, 68], [38, 96], [15, 77], [5, 94], [6, 67], [48, 137], [2, 65], [80, 165], [121, 193], [221, 276], [159, 217], [153, 221], [10, 58], [0, 59]]; loss = 0.011681 low_pass_filter = 0.300
+Epoch 0: | | 41979/? [7:55:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 41980; scene = ['68d8c862333a1684', '308ec88c1ad9b768', '2946d1671bef8129', 'f5bc5f1993328821', '1867fb38ce68ecab', 'c83978c89389d82b', '2edabae917f24f54', 'c07a2188f9ddd541', '446ffa4a463df3a8', '9eada17ee7b97b4d', '176779e7ff020fa5', '134c544ba5642a8e', '4bab68e5b5c00bdc', '68a98401f56099da', '205b571c771bd704', '7fe2186312264e91']; context = [[1, 64], [48, 127], [1, 72], [0, 87], [1, 50], [66, 119], [3, 53], [83, 157], [37, 114], [0, 58], [134, 219], [142, 195], [34, 109], [14, 73], [12, 57], [19, 71]]; loss = 0.010626 low_pass_filter = 0.300
+Epoch 0: | | 41989/? [7:55:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 41990; scene = ['711035157d2b01ef', '60cd503bf0841a1e', 'c18994e33b63facf', 'eff35c43b8e70965', 'a48d3cd38650838e', '4466cd75409a95d9', '5d16fefc4290a0b0', 'e69cdf6cf061bc98', '4a640e2c24d90419', '580bbe2141b9e6e2', '1ae6761f9dcf6728', '359705f603b8f42a', 'dec8847e03333be3', '4b148538b0785a5a', '188eb86b0baa1531', 'aa1fd4353ae6a597']; context = [[73, 136], [41, 109], [1, 73], [4, 94], [7, 85], [21, 81], [54, 99], [32, 83], [9, 68], [0, 50], [4, 65], [41, 105], [111, 181], [40, 107], [38, 97], [59, 139]]; loss = 0.010665 low_pass_filter = 0.300
+Epoch 0: | | 41999/? [7:55:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 42000; scene = ['f99052aa7f75d58b', '4001283461bac478', 'ee02795c2cab0d84', '77dfb192a7b7bb3e', 'bb3f4b8c39aa0f9f', '8f85d318571f0d5a', 'cdedebc7404b55c6', '3d857032268957c5', '3e81ba33406f43d3', '27df26fd660056ae', '8af19f867088ad89', 'f8d3ad05afe92b39', 'ffde5ed690a9fb48', 'e12e86bffa90859c', 'e364559c1d25e09d', 'dfdb88c1a5ca0d75']; context = [[154, 226], [14, 66], [132, 188], [3, 64], [8, 57], [1, 47], [23, 79], [48, 129], [12, 82], [12, 73], [33, 87], [0, 74], [80, 160], [5, 90], [35, 84], [145, 226]]; loss = 0.010082 low_pass_filter = 0.300
+Epoch 0: | | 42000/? [7:55:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0validation step 42000; scene = ['0d76da0fcac26af8']; context = [[68, 116]]
+Epoch 0: | | 42009/? [7:55:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 42010; scene = ['47608d00f89f6b00', '99d75f5941fcd59c', '7c1434aba45e0e87', 'a30cd3bcc7d000ff', '383986de290ee3a3', 'e6db09df52382c40', 'cc8c272b43efe48a', '77e9dd168055a3bd', '7d1a114ce4b4b2d4', '2a3934b5dc9568da', '70ccfb8827dba3f7', '0b59a8c5d245e625', 'a0563aca1f1d5e0d', '55507faf4f052e4c', '59131df6f80c65f3', '4a9cd2b03b28267b']; context = [[58, 143], [155, 241], [16, 68], [25, 101], [3, 81], [93, 175], [27, 83], [15, 76], [1, 66], [61, 120], [21, 107], [79, 130], [85, 169], [58, 147], [14, 89], [47, 96]]; loss = 0.010647 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 42019/? [7:55:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 42020; scene = ['f148e790bc04506f', 'c1549ae4f822eaac', '82c9062c870a1757', '25d7392ac5ae9066', '20045f4782cb52ba', '4245275cf50205b1', 'a77d977e67b50fa3', 'c09d4b4411cc1c53', '24fba0e6aa6af98f', '6dde8ea549b04a08', '82d29ba5b39e4324', 'cea2a93353c5eba2', 'da6552eaffe605cd', '93bcbc420d0cdeaa', 'c7fb40dbdfaf8c41', '625edf02592241ed']; context = [[0, 52], [22, 93], [0, 57], [0, 70], [53, 123], [0, 70], [0, 48], [156, 206], [35, 112], [0, 70], [20, 79], [39, 107], [2, 53], [78, 167], [22, 88], [50, 100]]; loss = 0.008696 low_pass_filter = 0.300
+Epoch 0: | | 42029/? [7:56:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 42030; scene = ['62ea424fe1922971', '29a09acebfb36b04', '78fab87a339cebcc', 'ebd875e3ddef5c12', '29d4c936815664ab', '85df3336ad90d5f3', '2df2d7c7a4f05e97', 'e60298a9c1439103', '8e1ad51b592ca929', '38147dfcaf667f6b', '952c38e1433be492', 'c660e0ba4f885ed8', '57a37f6c17fb53bb', 'e39800b46b0e5169', '3b492a7b903f8ae9', '60f32560e12841e0']; context = [[30, 86], [35, 117], [1, 84], [47, 117], [12, 102], [40, 108], [1, 65], [25, 93], [144, 226], [21, 107], [190, 248], [140, 199], [33, 106], [25, 81], [147, 198], [14, 92]]; loss = 0.010051 low_pass_filter = 0.300
+Epoch 0: | | 42039/? [7:56:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 42040; scene = ['0bb8a7807f7095fd', 'da79f380f911ed40', '3530096ad3087c6c', '7f3e02edcda13d89', '3b471fe1f614fbfd', '239d12ce68670c55', 'ba9ee0ed5353caad', '7fc78bf5706dbaf7', '99b90b759ac6e2c3', 'bcde14dd6d048776', '0948f1269f71c885', '75c097dde984d57f', '51a98d30bb4bf974', 'a93b9bf80d472ef5', '5dd26c5a45c5e40c', '1c713c10ecf5a0c9']; context = [[1, 47], [7, 80], [51, 96], [54, 140], [119, 172], [1, 67], [154, 205], [31, 80], [55, 143], [10, 70], [7, 76], [214, 268], [33, 95], [14, 87], [65, 153], [0, 52]]; loss = 0.010051 low_pass_filter = 0.300
+Epoch 0: | | 42049/? [7:56:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 42050; scene = ['4d8ce79fe1dc76ea', 'fff923a9b6bd66d0', 'fba4077e3266cf2a', '4f73c98468777026', '849b0e2f4bfbcf5c', 'a6de99319d52aaa4', '4f0426596f5d2a4f', '314ffe1c4140684e', '64cabd9f327a1a99', '9b6ca3cfe5886688', 'd7827be3525da46e', '2486f6b3f867bbd4', 'c138e672617341cb', 'acce13e84d3dd931', 'cfc6396b2c66cf16', '82d5cf26ac1ecbd3']; context = [[63, 144], [53, 138], [0, 69], [55, 111], [37, 97], [5, 80], [17, 72], [37, 113], [43, 92], [145, 234], [115, 177], [1, 48], [11, 57], [4, 57], [21, 88], [222, 278]]; loss = 0.014297 low_pass_filter = 0.300
+Epoch 0: | | 42059/? [7:56:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 42060; scene = ['2f028c09c83a0aeb', '61d2fa87a0e9d621', '9eb9c06f7c377ce6', '24c12e3920d415ed', '9edf97202c87fd31', '1e793ddcca585feb', 'a64b39d2648aec13', 'ae11f1d930436d1c', 'af2dd5d2c542677d', 'ea83dfd340855fc5', '17d579cd9c3c11c6', '51504900fa03f469', '46bd6ac81c2ca6bf', '8230269d5694b850', '09f447a82910d9e2', '58e75e2b5b11725e']; context = [[136, 195], [45, 93], [96, 141], [15, 68], [15, 66], [58, 124], [58, 143], [122, 189], [12, 79], [48, 134], [23, 109], [1, 48], [24, 105], [17, 73], [132, 194], [143, 226]]; loss = 0.010396 low_pass_filter = 0.300
+Epoch 0: | | 42069/? [7:56:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 42070; scene = ['211955799aea0b11', 'dec88d575276a479', '19283c18e8d4c093', '8c12405bd5d0fdaf', '5e6b6cf7eb54c960', '648d59fb0909b01e', 'd123eeb2049f770d', 'f03b097882e328ca', '33cddf881b54866e', '058fde22adb2bd69', '352405a498056a04', '85e226223d1d045b', '4d352f1f3d457919', '032c591bb9c0ab2c', '53fd05a1f24da0b6', '2bbb6e260fff96b7']; context = [[4, 51], [10, 61], [2, 81], [10, 61], [26, 81], [96, 160], [160, 237], [26, 102], [155, 238], [44, 125], [81, 150], [177, 249], [18, 74], [78, 158], [17, 70], [29, 74]]; loss = 0.008627 low_pass_filter = 0.300
+Epoch 0: | | 42079/? [7:56:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 42080; scene = ['86200c7934e48f9a', 'b83523d5a6b0de8d', 'e48be695530a9bf6', 'ba4bc50f3e101be7', 'c33a280526f9580f', '9b2bbbd898650e79', '4d95eabd1165fcb3', 'dabbe275dfe69077', 'e86b5e9968a1c865', 'da7bb9815103472a', '023a009030046924', '1a0affadce775a56', '7221fcf1835169d4', '328869e247a9c83f', '0d6742154bb1640d', 'e24e7b04d40e5d7d']; context = [[4, 72], [14, 71], [2, 51], [36, 108], [0, 46], [4, 74], [0, 77], [25, 74], [213, 274], [207, 260], [49, 104], [34, 116], [9, 75], [2, 61], [27, 108], [40, 116]]; loss = 0.009645 low_pass_filter = 0.300
+Epoch 0: | | 42089/? [7:56:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 42090; scene = ['a7e5c2b2c8fe38eb', '36b937cc3684eddb', '71b063c7314ecdc9', '2c8487ab01c71a50', 'e8b215c693c8c6b4', 'd821b84ef7e2c186', '1ed3d0dda9649020', '08c26703c4987851', '854a9ae4c223179a', '1e7c432d2207b6f2', 'c6b42d6e8cebec2f', '024a0070a97b88f1', '6c194892817e9e11', 'a3f4af0fb099f284', '4012c15c8381568b', 'c03bb717234e2031']; context = [[6, 55], [148, 215], [0, 55], [17, 83], [14, 77], [41, 86], [2, 91], [28, 79], [40, 117], [84, 172], [109, 168], [92, 140], [2, 57], [2, 58], [2, 55], [13, 90]]; loss = 0.009980 low_pass_filter = 0.300
+Epoch 0: | | 42099/? [7:56:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 42100; scene = ['3a31ed789296ce91', '0923f3552ad572f7', '5babab14b5da8d1f', '62a9cdcfa2e55488', '72e02bab04fb8c64', '752a9ba05152ec94', 'fac84877f62bf4ac', 'dc74defbc8c8d054', '35504747966f90b0', 'dbc8f6b8f02a5df6', '67ec892c9487534d', '7f11c968deb89da5', 'a7621aea5c101536', 'ca90cf157ecaadfe', 'f73708f8f2c1fcc0', '97133598e9144794']; context = [[154, 244], [1, 46], [29, 91], [63, 144], [4, 52], [1, 78], [0, 46], [46, 115], [0, 86], [2, 63], [58, 125], [179, 226], [10, 76], [74, 154], [11, 70], [129, 197]]; loss = 0.009359 low_pass_filter = 0.300
+Epoch 0: | | 42109/? [7:56:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 42110; scene = ['b65249520ff96b2c', '4a8613ae55449952', '437a510972fa1291', '3e4c6f7330f18510', 'dc4f99e729cb8640', '7c2a0ab3523a9304', 'cec46046c053260d', '0197f9c76ffe37f4', 'be6237fcfd50af5e', 'b6dc9bf5efafc2c9', 'c096648b039a05dd', '08ec78054feb5353', '07774c8af5006792', 'a4d6ac11bc4bba53', '987b8559b4128b69', '697fe60d10463f34']; context = [[143, 207], [81, 165], [83, 144], [9, 59], [29, 87], [93, 164], [1, 53], [21, 67], [1, 64], [32, 110], [86, 172], [9, 66], [112, 171], [60, 137], [4, 69], [8, 72]]; loss = 0.010153 low_pass_filter = 0.300
+Epoch 0: | | 42119/? [7:57:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 42120; scene = ['f98d3fb5b365336c', '27fb29e6808a6dc0', 'e6ad6e8999845115', '3a37cf4cacf00acb', '50204e987e3dc510', 'f38f2a4d40b7c590', 'f613a9e89ae730c0', 'd738990227f432f6', 'd39562e79985a0c3', '114d80bc715a44cd', '318ef3fc4a78eb62', 'e1176be7786367b4', 'd7fbb77bd2e9ad67', 'aec2f2ec71fdc2ad', '899bb046dda0763d', '0e88e1c2acec6616']; context = [[124, 214], [3, 85], [195, 252], [59, 138], [74, 131], [104, 190], [30, 81], [47, 132], [13, 86], [192, 259], [92, 141], [24, 75], [33, 109], [49, 101], [69, 149], [5, 50]]; loss = 0.011449 low_pass_filter = 0.300
+Epoch 0: | | 42129/? [7:57:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 42130; scene = ['99a7922ce3f339aa', '236bb4371f0a9b0c', '8bc26f82dadee1c0', '35fe38c771b332bd', 'f5d145d13f999e17', '190bc12de60a09d1', '01f0793599666c23', 'bb2f78e9c66d752e', 'b4ce98b34258cf50', '9f5b27821287f77e', 'ce72dd0a8a955b6b', '2b7009b7846c67e5', 'cc4a7a135b40e43d', '002a58afaeaf24c9', '2ffb2a302c2eb8bc', 'e47c511cbc88c8cf']; context = [[47, 111], [87, 159], [4, 63], [9, 92], [45, 109], [46, 99], [6, 89], [175, 227], [15, 67], [0, 87], [21, 85], [22, 71], [102, 178], [22, 69], [18, 81], [14, 74]]; loss = 0.010600 low_pass_filter = 0.300
+Epoch 0: | | 42139/? [7:57:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 42140; scene = ['16cbcf5ade966b50', '76d477e0f4218735', 'b1216352b15f9fa6', '2f42d8f78b745b8f', '354bb8c3bf607454', 'd53f3d87d749e474', 'aef1e4297d457ad0', 'e72a841fa01591ee', '7b026e9cc2809b23', '8960d6b0b7c62066', 'd834085f08b8e1b5', 'cdce02ed0baf8f27', '8bff83ff7b1d25e9', 'c572ac3284157a08', '729a45ca32c04257', '3f1b91f60386c5f3']; context = [[93, 170], [11, 61], [71, 138], [13, 88], [38, 105], [18, 89], [9, 67], [175, 232], [10, 70], [14, 72], [27, 88], [110, 166], [6, 74], [1, 81], [103, 193], [14, 97]]; loss = 0.013997 low_pass_filter = 0.300
+Epoch 0: | | 42149/? [7:57:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42150; scene = ['89cab77e306665b9', '401b203197086104', 'dcbb0a79eddab29a', '7c267ee82628088a', '12d1472631bb3d55', 'dd32077f4f08dc69', 'c040886eda9e8efc', '89c1218ebe194ede', '5ede369220cc16b1', 'a242e4699cdcf0a0', 'f7b7405f352d53a3', 'baab02d64ec03a56', 'a67599645b90125f', 'fd7813e7f6b9c6fb', '8d56185921b4b642', 'a6990abb3591ce5a']; context = [[17, 81], [14, 87], [1, 85], [4, 71], [69, 126], [45, 129], [7, 52], [0, 71], [1, 48], [17, 86], [124, 184], [1, 73], [2, 63], [4, 68], [1, 87], [5, 57]]; loss = 0.010933 low_pass_filter = 0.300
+Epoch 0: | | 42159/? [7:57:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 42160; scene = ['747c5303b3a489bc', 'e0e15f1a6d4505f5', 'e790f451efd033ef', 'f7805054a28b6ed8', 'e46bfc605bc405f1', '4b9ed7532c875dab', '7073053a1ff0206d', '79e76f940b648264', 'c0f128f783625ed0', '88cf24f0c9dd93a6', '24d99efd78aa36b8', '3ebbc92a617fd1e9', '4ef090a0a136fa10', '36ae47b315bb99fc', '3601f8513ad029c3', '0dbb47bae0f2a724']; context = [[32, 104], [1, 69], [57, 128], [46, 112], [64, 112], [127, 185], [0, 45], [12, 68], [33, 113], [9, 54], [53, 108], [2, 79], [18, 79], [3, 74], [15, 82], [48, 120]]; loss = 0.007979 low_pass_filter = 0.300
+Epoch 0: | | 42169/? [7:57:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 42170; scene = ['81c13db7794eeec8', '0eb49c00fbc1331a', '004f2522f3d42f94', '63d7389f65f05e23', '2d7b0f3fe3160b03', '4aa337cac9b0b0e9', 'a8200970f4297da4', '8eb5e654849c2db9', 'ea294617ac465cc9', '19e7cce625884839', '8e678b31fbd4f0f7', 'e7150d8ce38f95ad', '0f9430e46f8d31ee', '89a5974d08c40fc4', '3eac02576d878cc8', '7a26af750ba9ab8e']; context = [[42, 127], [20, 109], [87, 136], [3, 68], [13, 84], [62, 111], [94, 149], [32, 120], [1, 82], [47, 132], [51, 125], [0, 46], [4, 83], [1, 54], [0, 56], [1, 50]]; loss = 0.008594 low_pass_filter = 0.300
+Epoch 0: | | 42179/? [7:57:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 42180; scene = ['b972669c5c766b18', '8898e2a210362ba7', '2cb2d8255676e654', 'ddfe9ba63e6d372a', '9467c3431e0e586c', '7bdad49548efe595', '7a1781db0d9a2f70', '2ec8edfc07c8841f', '19b52ddc2c0b41e0', 'bcb68900df3fb3c7', 'b18b0e59cc8d6d53', 'a2fe0ee3e737c073', 'e741fa80ebe93837', 'f8fb4c5f59b50530', '02cebccd52e7833b', '7a8d8426e0d1c1aa']; context = [[8, 63], [17, 68], [10, 62], [16, 106], [36, 100], [67, 115], [78, 166], [7, 88], [111, 176], [3, 64], [10, 98], [176, 254], [1, 59], [6, 56], [12, 66], [22, 76]]; loss = 0.009824 low_pass_filter = 0.300
+Epoch 0: | | 42189/? [7:57:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 42190; scene = ['838f56af86bbd9ae', 'fb1f477356515193', 'c3c6a1d4b69cdaf6', 'd3e71bbbe7705414', '7daa7a0f699ceabc', 'c214b28101c8c489', 'cc1d9324e09232f4', 'add613d689db1b36', '883e411c844935bd', '2a120d7433051b39', 'ffdc1ca307b644ad', 'caf5b80ffb785dd3', 'e16e982c96b26de0', '8b91f281b1c3feec', 'bd8e178c4d928d09', '24744a1c7767e0f0']; context = [[18, 82], [124, 197], [14, 99], [7, 94], [35, 108], [38, 83], [119, 202], [51, 138], [149, 231], [46, 108], [4, 89], [221, 267], [16, 65], [7, 96], [0, 47], [100, 146]]; loss = 0.015296 low_pass_filter = 0.300
+Epoch 0: | | 42199/? [7:57:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 42200; scene = ['3594c7b061e41ea5', '1f03321df3099803', 'ece78ddcfe46af7a', '163a8471d885270d', '7933d6d96dd31a6c', '0e126fcfcf5a09b8', '570ec4d99796393a', '9868890fd5a820bb', '6a750d0085319d94', 'aba8920b0aa01c50', 'fa253477dc8dab85', 'b7dca8f8921dd2bf', '9aaa302f4137de82', 'ca982d77bc953b5a', '8dd0ddc3a4ab85b3', '1745b07cd7862df1']; context = [[0, 54], [1, 88], [41, 88], [160, 232], [18, 105], [6, 69], [3, 71], [24, 94], [30, 94], [75, 150], [2, 63], [42, 95], [55, 142], [23, 72], [1, 48], [7, 62]]; loss = 0.011452 low_pass_filter = 0.300
+Epoch 0: | | 42209/? [7:58:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 42210; scene = ['23f165b1591dab8f', 'a0251539c80a75fb', '8ea8fa9e91f61af1', 'a5e1730f71e1aab7', 'a5e23747e724db5e', '5101439f1f9e1da7', 'e2cfc841f85afb79', '0a5726f0d187b3a9', '14030101fce56c47', '440838d21213c5cf', '09a8c772df887230', '0a8a91a9c70abb54', '4c1eefb41890dd47', '3c98cb9bb58c0c19', '037a2b4741801a41', '1740c16e99f6fce0']; context = [[131, 221], [46, 106], [13, 88], [0, 53], [106, 191], [18, 103], [89, 174], [7, 67], [34, 81], [56, 133], [78, 166], [27, 112], [59, 123], [0, 48], [6, 52], [53, 101]]; loss = 0.011797 low_pass_filter = 0.300
+Epoch 0: | | 42219/? [7:58:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 42220; scene = ['203ebd4a7ecd7351', '74d59500412b3a6d', '056a4a7e82bd4a08', 'a1de15d31837b1df', '06478c4b8a84db0e', '65911963a46bcb83', 'f699191b86f38a08', 'da3ff7fbc613e687', 'cb524479156837a7', '8b700c2734f29339', '5dbffdf5e936ee74', 'cbfae700b0802703', '521fca1af7388ac3', '340f5087521b0117', '527ed10de8647f13', '55668f4c760d49d4']; context = [[11, 78], [6, 64], [25, 110], [0, 45], [15, 66], [14, 102], [7, 87], [55, 109], [25, 98], [73, 133], [0, 54], [32, 93], [5, 58], [15, 81], [27, 105], [0, 65]]; loss = 0.012476 low_pass_filter = 0.300
+Epoch 0: | | 42229/? [7:58:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 42230; scene = ['f46f73c6b994a630', 'a4749911cad4f5cf', 'f02ece766e3ac5b7', 'c926a919e6a16e3c', 'ce83dcd7dcf2824a', 'c6b155bb51d29d9f', 'b2ad1dbda5c04fae', 'd83baada13bf5140', 'eb490ca6a428e0e6', 'cb493cdafd03a22a', '752d39fb1c32fa3e', '777444de006226ce', '2e5e3c12008c75be', 'c98ea5702ac87104', '3023bf786ef48059', '7bfe443e0fdb8ab8']; context = [[112, 180], [94, 139], [13, 63], [0, 56], [55, 108], [4, 60], [51, 136], [11, 76], [15, 77], [51, 134], [7, 60], [15, 61], [55, 107], [70, 118], [0, 45], [0, 61]]; loss = 0.010119 low_pass_filter = 0.300
+Epoch 0: | | 42239/? [7:58:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 42240; scene = ['047b29485a1bbf20', 'c5b7258e5a3d9896', '0c2ce688132e3ccc', 'e897826c02fc4e95', '88442d4eae4203fd', '550898fbe362b272', 'f9ecef329d8da290', '6224f61fe042e117', 'cf7f50d31a60d2c7', '96ed5a8b0dcc572c', '106449f6ae050588', 'ffe814d6a265f8b5', '5b9e7f0865190eda', 'a60e746c2f928b89', '49933df694f4108f', 'ecb14f7f19f960b9']; context = [[89, 178], [61, 135], [19, 79], [103, 166], [0, 46], [12, 76], [14, 64], [156, 207], [10, 70], [58, 131], [93, 147], [37, 90], [10, 63], [10, 67], [43, 99], [10, 90]]; loss = 0.012473 low_pass_filter = 0.300
+Epoch 0: | | 42249/? [7:58:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 42250; scene = ['9733a5e8b87112f8', '714d84e0be7d7dfb', '858e46647610ba9a', '5e66f54d9b99573b', '3576553305e59d4c', '7e590944b3d09a44', '2a79a8bd4edfdbeb', '1b4dfb04c00df170', 'c21766bd51fed5bc', 'c472581eb9a351cb', '6102005c6aa4af25', '333f62c89b529822', '06def6f25e4a3107', '589e362118b32d25', 'b7ffe15e4ef99466', '01f2f5f1a7ecba68']; context = [[160, 213], [76, 124], [33, 103], [0, 86], [3, 92], [40, 114], [5, 56], [20, 69], [45, 112], [104, 172], [17, 64], [10, 66], [15, 80], [64, 116], [2, 69], [11, 67]]; loss = 0.009514 low_pass_filter = 0.300
+Epoch 0: | | 42259/? [7:58:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 42260; scene = ['67db02d7bf813f5b', 'c4681c8af6d65f1b', '72ad04d9fea7f3aa', 'ce68b2802d6819ee', '15697c301505297f', '54113616e3c8ae12', 'aec9839d095186a5', '4df0eabb02d177d7', '39c04c73d4bd21dc', '660c377f918f0922', 'c68f15dd31feb2b8', '974c16cd3063fe7b', '9903d3fe63d6a818', 'f60fb1fa9fcb5fe8', 'e4f16f4b31a78522', '46a36899c1217f11']; context = [[40, 116], [32, 118], [126, 191], [0, 81], [20, 108], [28, 89], [6, 57], [13, 63], [5, 55], [2, 58], [133, 180], [177, 234], [8, 87], [43, 91], [7, 97], [43, 100]]; loss = 0.030539 low_pass_filter = 0.300
+Epoch 0: | | 42269/? [7:58:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 42270; scene = ['b681aee07eaf04f3', 'fba59fdf07326fec', 'ac22f6e38b10a056', '37b4ceaa6a5ec27e', '07e029a9578b335b', '0be71613432d3b54', '14df881e0bb56d3e', 'bcb6f212ffe46cab', 'eec53be04c7fa7bb', 'cbda17fc7e8a6e86', '3a6fa2bf8d42d2f6', 'd6187fc008e4e1dd', 'd62251480933c90d', 'ec36aa235dc5a597', '62d36b447e464a20', '9d568da72daebfd8']; context = [[20, 102], [50, 105], [61, 107], [96, 154], [100, 187], [41, 111], [16, 91], [0, 62], [6, 70], [40, 86], [18, 84], [19, 66], [0, 49], [8, 84], [15, 105], [45, 127]]; loss = 0.008942 low_pass_filter = 0.300
+Epoch 0: | | 42279/? [7:58:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 42280; scene = ['2e2cce8b80bc8018', '1badfac3b77b18f6', 'd60a0aa6d5711b80', '62c4b13b4d673035', 'c8234e5da5f366ae', '8afb36156243fe84', '6d45a2090f8a7bee', 'ee5b68d3466873cd', '3d41895358e224b6', '06c7cb360e434de5', 'a0493b972780d9ae', '58ba43ed2adbd310', '0ea03727e64c2e53', 'dbbd2d62968c2aab', '68d0e78200de8dbf', 'f12488eb2f36d1ea']; context = [[1, 66], [1, 50], [5, 50], [3, 68], [25, 98], [20, 99], [11, 64], [6, 65], [56, 136], [17, 72], [0, 51], [149, 203], [147, 194], [39, 120], [5, 57], [59, 122]]; loss = 0.008255 low_pass_filter = 0.300
+Epoch 0: | | 42289/? [7:58:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 42290; scene = ['10a1f8abfc11b748', 'f3e2032cbef0169c', '9a06318c3b567f57', 'cc9c60269e489a99', '18c6d122fe4c3dc9', 'f5201dbafa0af79e', '7e3991a1e57c1b92', 'e621fd73ae473881', '97a395ac62304d1b', 'c073e79fc1a1913f', 'bdaf42f6d92c13a4', 'b526812abb4244ea', '36e9f6aa15a645bc', 'd3b81862311a4624', '19d29b637c994752', 'c19839af089b3874']; context = [[4, 92], [26, 89], [87, 137], [24, 84], [7, 64], [180, 233], [79, 143], [0, 87], [170, 257], [49, 112], [153, 223], [5, 67], [19, 71], [8, 70], [65, 116], [25, 70]]; loss = 0.011674 low_pass_filter = 0.300
+Epoch 0: | | 42299/? [7:59:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 42300; scene = ['b1944225bfdec51b', 'a4deeac13c91c00b', 'b78b771f55d43b2f', 'ded15efd6c0c922f', '431874e704453130', 'd134d86887045cac', 'ce085ad19ec5ff48', '2a77abd95bdb490a', '4424534c195b6149', 'b7d4e01b90e2c28b', 'b628fcd395211ade', 'f5d03fa0aca910d3', 'cbc3afce38e5c83b', '36295de2a127d034', '1f89d2abce700708', 'b36f5704af87f5db']; context = [[39, 107], [15, 90], [4, 68], [0, 46], [1, 78], [1, 47], [192, 249], [3, 53], [19, 91], [20, 105], [11, 98], [12, 60], [195, 260], [2, 61], [39, 107], [5, 90]]; loss = 0.007960 low_pass_filter = 0.300
+Epoch 0: | | 42309/? [7:59:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 42310; scene = ['3b77d03f923fda5b', 'a8b8032ddf94b8bf', '5bb27c0e0a89bdf3', '13aacaa9bfaff3f1', '351acba755ebeddb', '0f8c41f469cea050', 'f8c08f83e8dba6b3', 'aeb22e7070c7ebc7', 'c988dd7d71e48bc7', '4127c7dd2d0fd83e', '6a18f39c2e334256', '8a3aa2d63fd31dfa', '5f14e0e70310b263', '87f4f7f9fc5d01c3', '9e496cf3ceac8708', '4d8a2de461cc1925']; context = [[36, 88], [72, 136], [2, 86], [39, 101], [30, 98], [16, 67], [0, 45], [5, 64], [5, 50], [21, 95], [4, 58], [0, 48], [120, 175], [24, 96], [77, 153], [57, 104]]; loss = 0.012032 low_pass_filter = 0.300
+Epoch 0: | | 42319/? [7:59:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 42320; scene = ['567afb27f3c224d6', 'db1dc9c9fc7d80ba', '0143876971f2d26f', '4cd2861f338c72f1', '5ad339434aeed850', '800730657e19060f', '9c9a69788a977bcc', '2aedb6f4d4cadea9', '7c1010582c1ebbac', '38003c8440e4f145', 'd10b947d1bd37260', '55beb1567126410a', '32d09e777fe79723', 'f2acfbea86f8c413', '0cd8897b8a77eddb', '5c5ced708d2b3c8b']; context = [[177, 234], [149, 233], [2, 51], [0, 74], [0, 47], [114, 166], [22, 72], [55, 119], [2, 91], [20, 81], [69, 126], [129, 207], [26, 92], [65, 113], [50, 105], [58, 114]]; loss = 0.008600 low_pass_filter = 0.300
+Epoch 0: | | 42329/? [7:59:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 42330; scene = ['095889891b7da599', 'bb4c043078a5b91e', '3f1a1e582e8c1158', '3f9ae08552374fb5', 'd6fc181ec9c1537f', 'e54b5eec8cc47776', 'c3e773c9ea1f4727', 'cad8d99d5938a98a', 'fa56250d112da444', '49ea8c548dd1f1f5', 'dd780c76fd484eff', '708a44e2cf72d34b', 'cdfde85bdf3542f7', '88adbd8bb10e8d4f', '150809c50e75783c', '1ee79223b5b61a79']; context = [[2, 47], [29, 108], [66, 137], [14, 99], [82, 150], [39, 98], [10, 73], [72, 120], [57, 142], [3, 55], [37, 82], [12, 71], [210, 264], [21, 83], [105, 181], [6, 54]]; loss = 0.010842 low_pass_filter = 0.300
+Epoch 0: | | 42339/? [7:59:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42340; scene = ['0209fa7ef8a06022', '8f7dbb2f1b867a8e', '885587f42ee4e11e', 'b092748c833948a5', '97be5aef5a551277', '68eda0e3a97731dc', 'c0fb2e74353210e8', '1222f5f021cdfaa9', '850d436dab899405', '63a36e290c283757', '565db4456c9fb22c', 'b50f8a66ecfcf1e6', 'ad5c374197f81547', 'c54f5f75648da1df', '9bf893735e9b1ab8', 'f1a81e9c8264e5a2']; context = [[0, 76], [130, 199], [5, 93], [30, 88], [10, 79], [2, 74], [24, 112], [147, 200], [126, 215], [7, 73], [0, 82], [73, 138], [20, 77], [11, 79], [29, 95], [39, 99]]; loss = 0.012408 low_pass_filter = 0.300
+Epoch 0: | | 42349/? [7:59:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 42350; scene = ['ec49c31e0ed06b52', '315fee37794761c2', 'f51448ecfae30d68', '31922770533c1af8', 'a224062b7b93cb03', '1261f7352c1da2ac', 'c4bdccc08c477c83', '9f9adda8c2f8d43f', '68173846a9e6a4ee', 'd934b35f87276390', 'e8b0adf158f91fbd', 'e138102f24941ff6', 'b71b7a98725ee285', '2fd3ab234cb54924', 'cd145e8211376ff9', '4582335434b7952d']; context = [[7, 75], [21, 74], [6, 86], [25, 102], [3, 52], [1, 70], [51, 112], [97, 187], [49, 107], [117, 175], [17, 71], [6, 61], [199, 277], [17, 63], [5, 61], [59, 109]]; loss = 0.011010 low_pass_filter = 0.300
+Epoch 0: | | 42359/? [7:59:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 42360; scene = ['559322faba1bc893', 'd4c4178391fa64a8', '51996d52eea809c9', '9b71031c032f03a7', '8c4959742a47d9a1', '8e918671173842e9', '706210d8cd04e8f5', 'c174fb69aa81e519', '4b34e4a22e4a08ab', '903efe5f8a8e932b', '1268b7774e3d93e5', '9be4f7f194641876', '16550b4843bda7c9', '22ad4d6b24d8eb3e', 'fd76831770670610', '0f72af29e689aa51']; context = [[10, 60], [11, 75], [11, 76], [67, 140], [7, 86], [13, 79], [44, 107], [145, 220], [42, 97], [21, 91], [98, 143], [68, 157], [10, 60], [69, 126], [0, 61], [6, 59]]; loss = 0.010217 low_pass_filter = 0.300
+Epoch 0: | | 42369/? [7:59:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 42370; scene = ['6ac05296f40c0c95', '93bf60d2c52cf1f0', '574525ca424d6534', 'aeff198065a9b1a8', '9dfb47c595e5f4b1', '593f5915b5f4e44e', '13b6ba1e1a47cad9', 'a202d9011de16580', '3be0e7ec02876810', 'ba886712dec35139', 'b0b36df501ec7957', '2be4893cdc6f6e3f', '6517b2392f9cd452', '8aba5d8cbe4a821a', 'f0962de86ac20fbf', '623640f3015a951f']; context = [[69, 157], [2, 68], [18, 92], [0, 45], [12, 94], [30, 79], [19, 64], [82, 146], [2, 56], [1, 47], [103, 192], [73, 128], [18, 107], [152, 237], [6, 92], [28, 92]]; loss = 0.009617 low_pass_filter = 0.300
+Epoch 0: | | 42379/? [7:59:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 42380; scene = ['adade3f3c67639ab', '9f390d2b297ecad6', 'bb4b0c18a7a64c44', 'd813316c9bb7ead4', 'f9db85111bbb3505', '62c9128dc359e7cd', '7ed3419c7717bd7a', '045a6a385f09e6f3', '50ee87260cc88f0e', '107d979e758b8ec6', '1ba1898ad4f268ef', '580ab276c4a72feb', 'c9b6da2e91b97069', 'ea9bb07d43b25381', 'ad54d706cf223a25', 'b1a53b2f0ca30ce5']; context = [[17, 85], [196, 276], [0, 70], [63, 140], [11, 71], [5, 67], [28, 104], [12, 76], [15, 80], [94, 157], [17, 71], [5, 72], [29, 79], [8, 77], [20, 73], [6, 87]]; loss = 0.009261 low_pass_filter = 0.300
+Epoch 0: | | 42389/? [8:00:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 42390; scene = ['566c303cfa6a0077', '094e66678ac96c82', 'fb5a80a778281287', '407f30b4e6d34dce', 'b29d23d76f4b1f60', 'e7b0d2b0f8345433', 'c2f79eadd57323ce', '93b1c2796a3fc4b4', '4be41d2ae3c6c617', '85b89f911b62c310', '34b6c365004325e7', '1a7b857d206b5e11', 'd6fb3530ec7b97c2', 'bcb2e6defe083126', '580cfd410e2cc3e8', '52a4f713b01a5a58']; context = [[2, 47], [34, 110], [23, 91], [86, 142], [2, 51], [0, 73], [13, 67], [36, 115], [79, 162], [0, 45], [51, 100], [13, 99], [101, 175], [55, 126], [33, 97], [5, 55]]; loss = 0.010133 low_pass_filter = 0.300
+Epoch 0: | | 42399/? [8:00:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 42400; scene = ['f948c70edc619fac', 'bcda92d7b2a2864d', '0b152e0f8bc45d03', '24347fd8b78724be', 'db588b3d9fddf8c8', '3aa48f8d00d72451', 'bb8d200a7e3e424c', '24796eab91d76073', 'dc58b6b45320567e', 'd146ae9445f5411a', '0389391c32a6659c', '8539281bf2d95806', '54c66644ff37a8eb', 'b9f2a7afe1c19bda', '290127cd737563cc', '24c90b915d34ef39']; context = [[32, 100], [4, 72], [148, 197], [51, 131], [153, 229], [31, 98], [8, 81], [23, 93], [145, 205], [6, 55], [93, 156], [137, 190], [15, 69], [6, 95], [5, 85], [132, 186]]; loss = 0.011402 low_pass_filter = 0.300
+Epoch 0: | | 42409/? [8:00:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42410; scene = ['91d3c116b86c62a2', '03b4b854170c1447', '007525d507d7a6c1', '29e647d4d896d68f', '08011a68f39ca0f4', '25a35d6bb3d58a7a', 'd63b84db0b35d04a', '3485e4776717068a', '490710a2cacc8268', 'dc340f8aa416f839', 'cf6a4349d0ffdfcf', '069c535d11d48564', 'b915146b10f26355', '6b549d67d37b3d6a', 'ff5a148b852949ec', '94f20b7d0165bdbc']; context = [[61, 120], [27, 77], [19, 87], [136, 206], [6, 61], [59, 112], [89, 148], [5, 57], [54, 127], [10, 61], [10, 56], [38, 87], [181, 265], [46, 125], [82, 128], [9, 59]]; loss = 0.009762 low_pass_filter = 0.300
+Epoch 0: | | 42419/? [8:00:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 42420; scene = ['7db7d2dd5a83c449', '68173846a9e6a4ee', 'd934b35f87276390', '315fee37794761c2', '9f9adda8c2f8d43f', '1261f7352c1da2ac', 'a224062b7b93cb03', 'ec49c31e0ed06b52', 'c5e288f3b5dba40f', '00a861d699fb7797', 'c4bdccc08c477c83', 'f51448ecfae30d68', 'e02bdbf64b293ae8', 'bab9c0dad972d960', '6d417df8e0934224', '0a8a71e40fe5927d']; context = [[0, 74], [51, 141], [13, 63], [7, 81], [50, 115], [18, 65], [17, 95], [17, 77], [3, 55], [181, 241], [13, 94], [41, 91], [3, 78], [1, 70], [87, 150], [38, 85]]; loss = 0.012334 low_pass_filter = 0.300
+Epoch 0: | | 42429/? [8:00:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42430; scene = ['deddbc4bb1da2bdb', 'f97967e519b2c2bc', '856f7529b5f2d695', 'be75b076f8c08cd5', 'bdfc741d33921386', '2e5ff8faebe9c6d7', '8488fa43d3af93b3', 'a5ffb8224b9ba43f', '2117960d31ed1cb2', '3828012e4927ce86', '3801fa932c2b4338', '9dfab02a0ff14bb9', '3b06584da906811a', '496d1c59633bb143', '99035b0c28d05e25', '3150b1c3a91a4e9e']; context = [[4, 67], [20, 66], [0, 86], [24, 86], [51, 124], [14, 67], [13, 65], [0, 90], [68, 124], [2, 55], [5, 70], [8, 93], [48, 110], [1, 70], [58, 107], [146, 225]]; loss = 0.009964 low_pass_filter = 0.300
+Epoch 0: | | 42439/? [8:00:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 42440; scene = ['e96a40a434e0b83c', '2d9ad09dfbbccc5f', 'c7b3620b618be980', '6c86fd352266b6f4', '22c80320c49a62a6', '7570e1000b6f66a7', '41258160de3b9847', 'd19952203c1188e1', '4795f3164af3226b', '9151720411a52081', '78b4a3aa2803aeb0', '1043af708de5a840', 'ac8756d6c28dab96', '05578300751eb070', '482c01e057fdec27', 'b4876f461a40631f']; context = [[7, 86], [117, 197], [12, 78], [84, 157], [4, 64], [6, 73], [72, 119], [25, 82], [7, 78], [198, 245], [61, 137], [59, 132], [6, 87], [26, 85], [137, 226], [6, 71]]; loss = 0.010333 low_pass_filter = 0.300
+Epoch 0: | | 42449/? [8:00:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 42450; scene = ['c61660db7b36207b', '5aa677118a447f4e', 'ab84bd6ad2c3f20e', '0788c973574d562f', '7ac3519a24738854', '946f96dfadda281b', '3dd1ee9ce46014e0', 'd8cb90fd13152e6c', '0ca0911df7c66c58', '4a2c069d7bfa3eae', 'd998d161753e9542', '4801c55743478ab4', '2aa058b8233968d1', 'f01d231329f4844a', 'cf2981ade7a6a0f4', 'aa293d98738dc39f']; context = [[56, 146], [31, 87], [58, 125], [24, 107], [57, 107], [198, 252], [5, 80], [1, 63], [182, 241], [40, 97], [98, 180], [30, 106], [34, 123], [20, 88], [40, 103], [13, 66]]; loss = 0.008843 low_pass_filter = 0.300
+Epoch 0: | | 42459/? [8:00:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 42460; scene = ['c772fa408dae9acb', '15790a6ab4a1f516', '8a063a94cfe50aa1', '1170794da4c3f477', '1ef1a0860a3b465e', 'ceccbecac655b01c', 'aa41eb9219ec67a4', '2ba9777778fe9973', 'bb6c0a11d8e4853b', 'fa3629688684df1f', '5a99e1d90d1ac9a9', 'db604dcd44e99d65', '1e1be68e5d2c0b80', '44b47f1ce0a9d648', '38603d74dae54d1c', '150f77d98473b3b7']; context = [[0, 53], [11, 70], [4, 91], [6, 55], [8, 62], [25, 114], [3, 80], [180, 261], [9, 98], [0, 46], [67, 119], [46, 121], [44, 131], [151, 216], [39, 128], [11, 98]]; loss = 0.014448 low_pass_filter = 0.300
+Epoch 0: | | 42469/? [8:00:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 42470; scene = ['bdacd02f0e4a8f39', 'c5a156ed24138140', '888bf64fd7dab7fb', 'bc4a463315bb06d5', '5c92b85085b1ca15', '4dd3bc8cc897393e', '26d62f7d40ec88fe', '858a56679ac008f3', '70259ee1fe26f85b', '5b62aa29957e669e', 'c3cdf7ffed793e44', '4cb0004a77ec42a4', '3fb9031eadee0623', 'b0c446190c9dbff1', 'e6d10d8d551ed1b3', 'a94288a8ba34c885']; context = [[15, 78], [72, 152], [45, 125], [25, 83], [16, 92], [40, 89], [205, 266], [0, 85], [13, 90], [22, 107], [44, 100], [27, 77], [8, 91], [89, 134], [9, 85], [61, 114]]; loss = 0.011137 low_pass_filter = 0.300
+Epoch 0: | | 42479/? [8:01:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 42480; scene = ['d437beb1a01fabf2', '6cfc76b16e72752a', '6cee8362ee57a4c7', 'd9dce3382830aea6', '8fed29af74002491', 'a7a79393e5bb8108', '37d7e8a9f23b2418', '022d410bd702ba81', '3ec801a510862eaf', 'cba6272095141e36', '74c29d0b7eb8728b', '90ae09316f304318', '4007505c2d6ee7ee', '5bdceb769e5b3926', '9c6ae5f9ffede923', '322eaa39daf81f93']; context = [[31, 92], [1, 46], [38, 127], [7, 65], [52, 115], [78, 154], [1, 57], [13, 63], [12, 76], [3, 83], [12, 57], [3, 55], [0, 46], [37, 107], [175, 243], [7, 73]]; loss = 0.012753 low_pass_filter = 0.300
+Epoch 0: | | 42489/? [8:01:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 42490; scene = ['f51c7c1d017851f7', '5cb68a057d09b157', 'c447184e2ac73f93', 'd459f0fd6844dd6d', '821f8ab7d10fc4e0', '994f9c166991e13b', '2f53f8fe1635c1e5', '8e096002f3ab8224', 'e9cdab9a58781c2d', '5f35ea53af8b7e22', '81a9db37de0a1549', 'b3588b0f47be9ff1', '163606f5e088b2fe', '0ec17f60d1888068', '74e8bbc4737ef761', 'de0d6a8a41cb09b8']; context = [[23, 102], [107, 157], [38, 117], [13, 98], [25, 84], [28, 100], [3, 81], [13, 61], [2, 59], [11, 76], [167, 245], [13, 87], [56, 137], [2, 61], [4, 65], [50, 110]]; loss = 0.010319 low_pass_filter = 0.300
+Epoch 0: | | 42499/? [8:01:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 42500; scene = ['746e147944928a14', '5167dc2231bfec63', '5220b6dddbd2b6c5', 'd7e7949633da853e', 'f2133cf68e6b7993', 'd858d269c16ef238', '15ee0149c03dabf0', 'e69bc9dfa8547753', '9a72f13665828446', '36c90e7d21f80783', '74a0bca59cceb577', 'd87ee6c5ee767299', 'ed09c2c104691f41', 'c226a05dca40d265', '6238b9bd511fd87c', '471727b63053034c']; context = [[1, 70], [15, 76], [67, 139], [41, 113], [1, 50], [30, 79], [95, 171], [16, 85], [14, 96], [39, 89], [121, 200], [4, 50], [3, 48], [10, 58], [26, 72], [10, 58]]; loss = 0.011125 low_pass_filter = 0.300
+Epoch 0: | | 42509/? [8:01:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 42510; scene = ['3e5c85913fc7c0d8', 'a020feef33132bab', '9005a907bf9a54bc', '1bc87f3755e5876a', 'f6f1f51bc8538b9f', '7b1854aa0edd0d17', '0fd809b090bbed1d', '63285420ba79f570', 'eb2089db75a8c8e8', '1f2eae1083f108ad', '401ce8a065750160', 'f12189d951f4e8d1', '7a33856e537d35ac', '27cc96a022970ec1', '6a53118833481290', '2afe2b1d0cee0e75']; context = [[22, 108], [1, 59], [31, 114], [3, 49], [0, 47], [96, 171], [121, 204], [61, 130], [30, 86], [46, 131], [7, 66], [30, 92], [5, 77], [78, 141], [4, 87], [27, 80]]; loss = 0.011536 low_pass_filter = 0.300
+Epoch 0: | | 42519/? [8:01:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 42520; scene = ['402071c2b1550820', '11c47219c153c014', 'f8a24a1cae5ae861', '4beff98ac10fb266', '8b8f7cd56fb6a696', '20fa2a9557a949a9', 'fa051d0232ae8040', '9d34c9589e0434c9', '92f0ac52daa463b6', 'd2b34cb3b5d00afa', 'd6908f33460b023b', '055f4c034400a175', 'da56c7ef9df14143', 'c2883a1b59efa9cb', '65be8dee646970d9', '960daf58070c833a']; context = [[125, 209], [62, 145], [147, 215], [0, 46], [26, 98], [39, 106], [146, 234], [47, 135], [50, 108], [195, 271], [2, 71], [25, 95], [8, 54], [39, 118], [6, 70], [10, 80]]; loss = 0.011741 low_pass_filter = 0.300
+Epoch 0: | | 42529/? [8:01:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 42530; scene = ['5df5c5216840766c', 'a78affb518c2e2c2', 'dee435320ceec344', 'b3c2eaecfff1ccaa', 'b918852a1561726c', 'cf1b989d2cd6a21f', '5d3bdb9c1f87185c', '4e6b3c33bd1b41ab', '111f07323b6cb3b0', '935328d1049e18ba', 'c0957c359b852c35', '6e62128a879efd48', '8aa87dbef45279df', '3b2d83497d98dc06', 'ef4731165c5ecb86', 'bd16beec5b57de15']; context = [[0, 45], [0, 83], [43, 119], [3, 48], [38, 107], [11, 89], [3, 80], [1, 82], [0, 46], [140, 220], [24, 102], [38, 123], [1, 59], [102, 164], [32, 97], [8, 53]]; loss = 0.013310 low_pass_filter = 0.300
+Epoch 0: | | 42539/? [8:01:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 42540; scene = ['c19efa0eb9d3fad5', 'af9da5714f72f597', '2de9f3585e79aac0', '33c9561e60c5c3bc', 'df3bd90e82164904', 'f080ccd0ba94997a', '49dfcdea956c0fba', '2effe89a7d56545c', '41ea521aef121c25', '4d0e0a79d5d2b83e', '8c6280ae05871d49', '33e683233a6f972c', '3bc2111ee56bb976', '9426fa1b0ae38a34', '29f6f41182191486', '5ca1a8ea53457a46']; context = [[1, 68], [35, 119], [38, 105], [9, 92], [26, 92], [102, 148], [184, 267], [115, 171], [13, 88], [55, 127], [10, 87], [174, 223], [9, 68], [38, 111], [19, 96], [35, 124]]; loss = 0.009251 low_pass_filter = 0.300
+Epoch 0: | | 42549/? [8:01:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42550; scene = ['a5f31714273c8220', '87d840cfccb47c75', '44dd7235598d029e', '8f16e3607a0aa4f3', 'd924ea5aa3707662', '7032153cd96ff3e6', 'fa005476579f71e0', '08e27ee11557632c', 'a0f7572e76d87441', '27973df329d50c4b', '7462ff8dbc5f2645', '3e008f1d33515ed6', 'a2cbc2020855008f', '5a328134197a99e7', '50b4e34e571cf518', 'ca0381510721729a']; context = [[4, 88], [13, 102], [27, 80], [4, 68], [114, 187], [5, 89], [8, 61], [9, 61], [7, 63], [134, 195], [21, 88], [165, 231], [3, 73], [78, 128], [28, 98], [26, 73]]; loss = 0.011786 low_pass_filter = 0.300
+Epoch 0: | | 42559/? [8:01:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 42560; scene = ['15f15ef3017065f6', 'c6335bb1ed4feee6', 'c00094fc65365c02', '49d6b79b2517c1ec', '771aa992eae9a574', '687162e3d133187e', '644288bfbc415e99', '41ce692db2b7b72e', 'e468dbe028f3fcbd', '395b94f7cf747d1e', '58e8608524c8af53', 'a4749911cad4f5cf', '752d39fb1c32fa3e', '777444de006226ce', 'cb493cdafd03a22a', 'eb490ca6a428e0e6']; context = [[35, 111], [4, 50], [3, 64], [1, 46], [19, 79], [4, 88], [0, 71], [149, 205], [38, 98], [20, 75], [2, 61], [117, 162], [0, 54], [39, 106], [125, 204], [3, 58]]; loss = 0.012090 low_pass_filter = 0.300
+Epoch 0: | | 42569/? [8:02:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 42570; scene = ['8ad3918394be8d98', '1643b6a11a819f37', 'ba7019268cbd976c', 'f63d2df8871ce70c', '106fa5a7ff2a8839', '5a89880eb9996290', '380aa8c6d47a59a7', 'a1bcecce933334ec', '576bcfdc62b51455', '5bcef3db70b6a339', '28e2882fd19235da', '0efc5f77b13da150', '44c89ea5834e28b3', '8dfe8887806a699c', '25c642db7f0f4274', '6c37b62853077e8e']; context = [[13, 99], [13, 59], [70, 133], [2, 52], [127, 204], [24, 112], [10, 95], [98, 178], [1, 46], [0, 47], [1, 67], [1, 52], [55, 104], [13, 61], [35, 89], [15, 96]]; loss = 0.011736 low_pass_filter = 0.300
+Epoch 0: | | 42579/? [8:02:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 42580; scene = ['7af9262f51a0c90f', 'b536cdfe01bc746b', '9753fb68129f08fb', '8e034eff07ef1378', '17c8fa24f6bd1331', '1e35a6338c690b52', 'f2dfbbcbe2f3ccd5', '93aaaa30360ae75b', 'fc6b484968a872c5', 'b8af5b1dafdf212f', 'b9086d2cecefe07d', '3106bc7a6c027f07', 'b3e2ed69a99b2d7c', '8bc0f7f6b2dd43ad', 'f030216648778de8', '9d4dc226fb3612d3']; context = [[38, 103], [1, 53], [3, 69], [45, 118], [17, 62], [6, 69], [2, 68], [57, 104], [40, 113], [153, 227], [21, 66], [33, 118], [31, 86], [25, 96], [4, 85], [32, 80]]; loss = 0.010441 low_pass_filter = 0.300
+Epoch 0: | | 42589/? [8:02:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 42590; scene = ['13bd9deb32e731f5', 'a06b2802ca08da31', '9c37503a20f8d6e9', 'a633cd79e6443aff', '37de1068a28bfc35', 'cc039d2dde109d6f', '6022d45204ed3bdc', '854fcd5213c999b6', 'bef9ce6ff4d4f078', 'c3f3082c635d40a4', '9aa246217e9c04ea', 'e63cb12fc52c36c6', 'f60373796216b3e7', '39dae4692d7b82da', 'cfac893736d0c31b', 'd800d4da5605b3d6']; context = [[18, 100], [13, 98], [98, 150], [59, 127], [59, 124], [95, 177], [6, 62], [16, 80], [33, 109], [0, 55], [5, 76], [1, 51], [59, 141], [50, 136], [37, 118], [0, 85]]; loss = 0.013259 low_pass_filter = 0.300
+Epoch 0: | | 42599/? [8:02:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 42600; scene = ['58d9100716253f0f', 'e32290ab3ad7c715', '74ccd7f499ff29c1', 'a89e2f1bc57991f3', '6a3f9d9e01c9bda5', '1a00d4e8aa97867b', 'ab85bf8652d24e47', '95f77454a0125854', '82952283d9bb3de6', '3b1170b3725c6b04', 'a82d926118a1ab97', 'd0daf2f62944dd3d', 'af5b170dd00f375d', 'd3edfadeed4bf16d', '0059ff3bc0a9b4c6', '02f82cf54ffefd78']; context = [[31, 86], [90, 150], [5, 71], [9, 54], [6, 69], [118, 200], [161, 218], [38, 118], [16, 62], [21, 71], [22, 92], [9, 62], [108, 154], [73, 128], [29, 88], [1, 55]]; loss = 0.007993 low_pass_filter = 0.300
+Epoch 0: | | 42609/? [8:02:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 42610; scene = ['e82f04c31c257d70', '2f19a454ec1f7a71', 'f760f01e89c53799', '16e92460b0a30c1d', '1fd3d6918b5f5e32', '5578bed0fb36c89c', 'd2a261ff1f2f061c', '0ff9bf7b8f816f21', '9e863a36ee9115ad', 'a8e32ae1b20ebcb3', '8d2c59bdb9014369', '71c5ee090c757584', 'ff9938339d5ad4fb', '2cdce95840a44fc3', '10bd859ba72ecad3', '6673eddee4bd795c']; context = [[45, 92], [0, 76], [4, 71], [36, 84], [42, 93], [27, 91], [75, 148], [1, 55], [66, 152], [1, 53], [78, 138], [109, 161], [1, 51], [10, 83], [19, 84], [6, 73]]; loss = 0.009177 low_pass_filter = 0.300
+Epoch 0: | | 42619/? [8:02:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42620; scene = ['aa0ba67f0631699e', '9ee6e714caff3187', '1af60de5cf1e7263', '0f1a55d0395ae672', 'b15ab42715e8e5c3', '4988d7e7487387ab', 'ed8f111fe1e568df', '0bec7887227e806b', '34706332e0a4aeff', 'b4f1c364dfd74f3d', 'a503344a0808e68f', '2f76ab02ffb68493', '4e24bdd6f23afefe', 'c135de062e440f90', '9c0023ca3b8edbda', '45fd872cdda628c8']; context = [[6, 92], [29, 109], [102, 160], [13, 94], [74, 141], [65, 116], [100, 155], [17, 76], [25, 80], [2, 86], [0, 46], [0, 49], [7, 53], [72, 161], [16, 91], [65, 145]]; loss = 0.010230 low_pass_filter = 0.300
+Epoch 0: | | 42629/? [8:02:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 42630; scene = ['c1853d5840938ce4', 'b33a29e1340cb581', 'f7e30aedb1da3cb0', 'e5dca5e8131acc0d', '1287386498681744', 'e513de8cae71180e', 'ca2fe8b44e617133', '133d554395e41eaa', '5c6f91cf582708ed', '913fb4d757212f2d', '5843a30d98578bdb', '95abb7fcec549b2b', 'ee5ea1ea6d5efff7', 'a1b823b2106e429a', '3cabead051e0630d', '8fef2b61bad0d3d5']; context = [[4, 69], [24, 79], [7, 66], [14, 63], [27, 98], [64, 122], [58, 140], [8, 59], [23, 81], [169, 214], [126, 202], [14, 84], [18, 87], [15, 65], [11, 89], [33, 89]]; loss = 0.012968 low_pass_filter = 0.300
+Epoch 0: | | 42639/? [8:02:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 42640; scene = ['8539028ddcf147af', '12c4bf5b80f0ff46', 'cc36592f7efd1256', 'b39fb5a378831f09', '4388a350bc38c49e', '7fa1580879c18bd5', 'b0bab35b2ff1204f', '0fec740374049de6', 'af393f313dddf3eb', '8e390bd0d698e80b', '0c524e0e828d4b9c', '120f7e6b6ec6eaf4', '3adb92fd0ffe8477', 'd0518b41fe6e4c49', 'a393ccc9bbbde410', 'd1ab0b9a829427e0']; context = [[122, 184], [83, 160], [7, 54], [8, 89], [1, 48], [1, 75], [53, 132], [37, 101], [8, 88], [98, 151], [9, 64], [17, 94], [34, 92], [11, 83], [41, 109], [19, 99]]; loss = 0.010999 low_pass_filter = 0.300
+Epoch 0: | | 42649/? [8:02:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 42650; scene = ['d5835fb2f9cdf90d', '6eb91624364aaa65', 'd204a75d5c724077', 'b971447d48d42607', 'fd2dfd73f01c7262', '5258ae529f43e083', '9d225d862634015b', '85ccc785967a3105', 'ed4f0b586c17396f', '25f8fa5f70fc3819', '31ee350c3a69061c', '2178a852fea5c59c', '24e9073a5b74814c', 'ed1510746de8198f', '9672bf2513953ed0', 'e52f052d044d211d']; context = [[45, 102], [44, 114], [51, 132], [8, 67], [30, 95], [1, 47], [112, 175], [35, 87], [63, 125], [22, 78], [0, 53], [142, 187], [95, 152], [130, 199], [32, 93], [19, 106]]; loss = 0.010473 low_pass_filter = 0.300
+Epoch 0: | | 42659/? [8:03:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 42660; scene = ['5a1011ab86b77657', 'ac04f087ba9e9344', 'bdd33fa56672326f', 'fee1c997daddaf5e', '8ac4975d9a12b234', '42c32233f309708c', '99a34d6492f6ccfe', 'cd80c587743d9836', '808d34c910e9f8ff', '3b5ecc7fa7f0597c', '0b77cab786151df6', '985a81850d13edfd', 'f6d7dc72b9906e1b', '22c651e15b5d5339', 'eb25a67b8edf24dd', '8c662a617235e175']; context = [[37, 83], [0, 45], [9, 69], [53, 109], [13, 65], [12, 77], [198, 263], [2, 71], [21, 71], [4, 54], [19, 90], [151, 202], [52, 102], [43, 105], [15, 60], [4, 72]]; loss = 0.008116 low_pass_filter = 0.300
+Epoch 0: | | 42669/? [8:03:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.40, train/active_min_children_step=4.0train step 42670; scene = ['24f7243394904def', '0c14e3a75d58b35f', '071eb67ff13bf80d', '1c71ba8b64ef1410', 'f0bda6f91712fd5a', 'ad2bddef36995b31', '16c47f696bf6293c', '1c5c50af69deab6f', '646a74f178afb3a6', '46963c14f11283e9', 'cee9ed612f34c4ab', '5999741ee444b48c', 'be94aa8804ada9ee', '934356e1b9fce75d', 'c855b40e5dd8fdba', '3ae750558a539cb1']; context = [[5, 57], [0, 56], [20, 100], [116, 165], [66, 146], [1, 86], [139, 214], [52, 139], [7, 96], [3, 87], [28, 73], [185, 236], [49, 105], [61, 132], [50, 135], [10, 64]]; loss = 0.010264 low_pass_filter = 0.300
+Epoch 0: | | 42679/? [8:03:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 42680; scene = ['11b228589e3142d8', 'fe2b27b75b492744', 'f248e7fc45f1d3f6', '6aad2eba073ae9c3', '7718b6a417bc4892', '0365970d6438b5f2', '0c0b98f2b5ef84e3', '5624dc46b3a25203', '8331d9c0babb8c1b', 'd23ed015a12e7251', '2468133d68c5d533', '220a754928cf7f7d', 'da3da5f97aa24859', '4f6f39192fe76d56', '990049215af89c2f', '2132707ef34d036a']; context = [[101, 158], [20, 103], [54, 110], [48, 126], [74, 144], [12, 67], [89, 177], [22, 94], [11, 93], [10, 77], [0, 48], [10, 64], [37, 106], [0, 68], [17, 74], [110, 179]]; loss = 0.012892 low_pass_filter = 0.300
+Epoch 0: | | 42689/? [8:03:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 42690; scene = ['ac56b8116af8c536', 'a56d066178264232', '57c4c871ad8cb634', '900771ff22868f89', '84f5ebc130318167', '2e2409e5ee0d8233', '9e58f95fd4a31468', 'ca9b53deb1359193', '5e6e2a1a1c382c52', '01a8c5f00e17623c', '78b144c459f5ff2b', 'ace25221c8b76123', '07f8f5682ad750c1', '43073eb89fa57d37', 'c7f7303fcbc52b43', '4068a60c400421e7']; context = [[44, 111], [45, 131], [71, 124], [27, 77], [4, 66], [3, 50], [15, 63], [4, 90], [16, 96], [10, 72], [172, 224], [11, 71], [0, 46], [40, 108], [75, 122], [14, 82]]; loss = 0.009804 low_pass_filter = 0.300
+Epoch 0: | | 42699/? [8:03:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 42700; scene = ['14771e11fb60d80d', 'de255a3948e5e03b', 'a9b14f8a4255ecc1', '4ba301a1a17dbcaf', 'c315f2398bb80995', 'ee72c2aaecc97c6f', 'a92a2144824ec5d0', '6ceef29d3cd6caf9', 'ab0df7dfba225813', '5fd4e49b87e4a570', '6a8abf8024d445e7', 'ecdfeafffcae9bad', '6cb26abcdbe1fb40', '2a4284701926a108', 'cf5a9d93df10f156', 'bb9481478f3f6d69']; context = [[80, 155], [58, 141], [3, 56], [146, 208], [76, 139], [18, 88], [14, 80], [5, 53], [4, 57], [0, 49], [2, 47], [0, 71], [6, 65], [93, 160], [40, 108], [189, 261]]; loss = 0.007906 low_pass_filter = 0.300
+Epoch 0: | | 42709/? [8:03:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 42710; scene = ['c57d46c213a2a46a', '6f3192180e6c9291', 'a6787dcd34b17cfa', '4e06000409ad97bf', '69e01d9175c24145', '6130665036744af4', 'ce11fac2d43ed83b', '3a00bf0557f697bd', '6e05907e3f19fd3c', '478a681c422cede2', 'f42b9fd27850d7e1', '0928998054c51877', '71eaf6a42c20b54e', 'd2bb35c8d33ed564', '71c8a123e9cdd368', 'cc3b2bb760ce5ade']; context = [[10, 96], [16, 83], [3, 62], [6, 65], [0, 85], [27, 96], [14, 89], [91, 139], [163, 219], [57, 129], [63, 150], [112, 196], [113, 193], [22, 78], [93, 172], [5, 59]]; loss = 0.015399 low_pass_filter = 0.300
+Epoch 0: | | 42719/? [8:03:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 42720; scene = ['063cf0cd1ebf06d2', 'a295c966b22883f7', '37c1c5992b23c6d8', 'e6ad6e8999845115', 'c60ccf93cedc4519', '6818f4e7fa537488', '35c01de3f8a8239a', '27fb29e6808a6dc0', '3a37cf4cacf00acb', 'f98d3fb5b365336c', 'c3d002e9b4eb33d1', '9e70ce8046bae357', 'd05d33bc65e5bc82', 'ed95f4dca7ba49ba', '0fe8bd24289accfa', '4c80bb26bc9a9842']; context = [[49, 114], [52, 121], [7, 71], [33, 86], [72, 128], [53, 133], [29, 95], [8, 71], [88, 151], [114, 179], [29, 113], [64, 142], [3, 91], [16, 76], [17, 68], [70, 144]]; loss = 0.015436 low_pass_filter = 0.300
+Epoch 0: | | 42729/? [8:03:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42730; scene = ['95e545a3708a9f60', 'e90b1b1f508baa0e', 'eeb46689a3c4f87c', '11d5d9cf24c24b4b', '66cdfce523fb462b', '9ba80b9dfd03d67a', 'a4af5e3b9ffa8726', 'f3d31f34aec130c8', '1c4245944a44dcb5', 'bb0e91571e079e65', '6050c60643284a5c', '537ccd2b76f1cc81', '9d80c1f7f8a6c541', '25ea1a4f7e159278', 'a3f6bfbd36edd888', '0404b811068d9c22']; context = [[21, 111], [9, 69], [5, 82], [52, 108], [3, 67], [13, 70], [5, 54], [93, 141], [24, 78], [1, 48], [4, 89], [93, 147], [22, 86], [25, 98], [38, 91], [59, 129]]; loss = 0.009657 low_pass_filter = 0.300
+Epoch 0: | | 42739/? [8:04:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 42740; scene = ['396206f7e9d27754', 'fcb5705e6f453b77', '77dd1e7595b8f9a1', 'ac2604ba635b916c', '729a45ca32c04257', 'b5460ab2cb43fba9', '02e51473f83c2da8', '3f1b91f60386c5f3', '1541443b0f9f6d16', '3b559cada02ade84', '1da8bba08ef5d022', '67aa2aa232d5369e', '601ccf10319e2f53', '9ba95d48eab6a0c3', 'e49ddaa35f090853', '07be1c41e6e00f4b']; context = [[5, 68], [2, 60], [1, 74], [40, 94], [84, 163], [0, 81], [193, 238], [20, 79], [7, 56], [15, 89], [42, 126], [11, 94], [29, 88], [206, 252], [20, 93], [13, 69]]; loss = 0.010365 low_pass_filter = 0.300
+Epoch 0: | | 42749/? [8:04:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 42750; scene = ['db470af007bc7d55', '1618aba66b56ab93', '3765a1ac3cf22a76', 'd0491d345e7f63a1', 'e59734f315bf7d1c', '61abdc0b0ffc4286', '207cc01069e6e480', 'f5a4f4af753c40a2', '7511aee8902bccd1', '627b0865de219721', 'e834fab2208f1db4', '78a509119f9abde1', 'f287b42b0894a220', 'fd8f13ec5e0af26f', 'c5584bf72d124d9d', '8772de948d685f01']; context = [[55, 119], [115, 181], [2, 68], [14, 83], [163, 225], [43, 103], [155, 244], [27, 79], [3, 91], [6, 60], [183, 238], [2, 77], [92, 148], [18, 87], [25, 78], [7, 67]]; loss = 0.009776 low_pass_filter = 0.300
+Epoch 0: | | 42759/? [8:04:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 42760; scene = ['90da26a5b04b69ed', 'd7afba0f3ab5b579', 'c0019ff8afeaf1f7', 'a3e68f2a6b87063c', '93598ff73741eb47', 'f79a6334f7f97c04', 'a802441c288b598f', '280d6636eae33dd3', '0869465945016056', '5b09360edfdd719e', '6c1c5a9b3c6db4a3', 'a842f67726ffd425', 'ca906f2b5011f907', 'dcd2dfbfa3ccc955', '19e98f4364ca5d4a', '9681c9508035e2b1']; context = [[36, 90], [0, 73], [13, 75], [190, 260], [161, 241], [13, 82], [175, 227], [6, 59], [15, 104], [5, 66], [7, 67], [23, 83], [15, 61], [127, 172], [7, 57], [10, 75]]; loss = 0.011936 low_pass_filter = 0.300
+Epoch 0: | | 42769/? [8:04:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 42770; scene = ['e38274129f29ce92', 'cb3bac70297d52c0', '95cd0bad15de18a9', '9a2d4c60e9585ed7', 'b7873e1ebdb5721f', '699dc0e0cbd1d2d5', 'aa801c6cfb72fdf8', 'c2648243586329ba', 'ff4fb430b2108b32', '2c3bc0c318fa3771', 'ea2343e4a390441b', '51e99330cbe8b36a', '04de1a4925ce16a7', '531dbcf740193f4e', 'd91217873eb2aef8', 'e25898e30a0103ed']; context = [[23, 77], [62, 129], [52, 123], [41, 93], [52, 107], [87, 154], [1, 46], [16, 85], [10, 80], [0, 65], [4, 66], [7, 66], [29, 107], [2, 55], [37, 121], [25, 106]]; loss = 0.011647 low_pass_filter = 0.300
+Epoch 0: | | 42779/? [8:04:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 42780; scene = ['5f6cb93dc08fc1a6', '58278081778e848c', 'fdc8b395582432f3', 'a9a85280b420694a', '55500b9b8aa934a1', '844f5ac80c18d101', 'd99eaa0cc001ecca', '97c5606fdea6e732', 'dbbc84703e42d174', '5eba0adf88b41a12', '32853e04e84e9242', 'af342e32f4c696a7', 'e1730179fd86e4c0', 'b4297c92de82ba23', '6d26732ef60b81a3', '7a7bcb2dfd3f9ba0']; context = [[62, 125], [25, 110], [30, 82], [1, 74], [90, 151], [1, 63], [72, 145], [2, 55], [25, 74], [128, 188], [16, 75], [17, 94], [17, 66], [4, 84], [72, 159], [144, 228]]; loss = 0.011296 low_pass_filter = 0.300
+Epoch 0: | | 42789/? [8:04:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42790; scene = ['0d29df52e52443e8', '9722a4675ef08f7a', 'b5a9d569512adc78', '7c6cff8643a2c250', 'aa6af775f4c69693', '25be53ace2fc19a9', 'e8d604150ae0360d', 'd3a667f950f7c572', '5ee57f2a8400b256', '377a26af83fd210d', 'da45e78b9132a88f', '051f0ec01ada8a1c', 'ea5a0447e990f968', '9694d2d9cf59b028', 'b2a5a5d457aac9e0', 'ac63774425412c69']; context = [[34, 109], [0, 45], [9, 78], [20, 87], [1, 58], [5, 67], [14, 62], [2, 52], [63, 131], [14, 96], [122, 171], [0, 50], [4, 85], [219, 277], [22, 96], [24, 93]]; loss = 0.009402 low_pass_filter = 0.300
+Epoch 0: | | 42799/? [8:04:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42800; scene = ['3e96e8462ee68829', 'e7f0fa81b6ac98e8', '19e7c6800c29dd26', 'f9a7b128f1a9a805', 'f5d2bd420c2240ee', '15b1b675b5ec2f36', 'f37f5e9827bb51c3', '52947f8f9ecd737e', '0f90eb4fd4759709', '53cd5b776e73b898', '0b3c26c605ce9388', 'eca127496e1660ea', 'c6cf5bc481b73149', 'f5e1dd1e349fcc99', '94b4b22fc9ba462f', 'e1708ac5f3c9a691']; context = [[100, 147], [78, 135], [128, 209], [7, 59], [26, 91], [5, 84], [198, 261], [3, 75], [1, 47], [103, 165], [33, 113], [21, 78], [67, 143], [7, 81], [17, 96], [8, 72]]; loss = 0.009443 low_pass_filter = 0.300
+Epoch 0: | | 42809/? [8:04:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 42810; scene = ['2db98c7e8a6bb797', '8dc9967df5714acd', '2c6b93544964bc01', '3695aae861f18375', 'c78bdf20071dbd48', '281661f8dbfedd6d', '3cda064458c78e23', 'dc6e87688f3e9bb3', 'a964dd03dd3194a4', '9d1985c29dad84fe', '2c1e3f7af6fec6f9', '0be2cc56c1bce065', 'feff41b52966068d', '89ffddd7e0050957', 'd33060884405fb51', '328a73288962076d']; context = [[33, 96], [34, 99], [5, 94], [157, 219], [83, 153], [2, 59], [34, 86], [3, 75], [11, 56], [12, 82], [7, 60], [46, 131], [54, 144], [75, 131], [22, 110], [57, 133]]; loss = 0.010986 low_pass_filter = 0.300
+Epoch 0: | | 42819/? [8:04:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 42820; scene = ['8868360e57d02bf2', '7de0b83bf88c7e65', 'b77f9ae64dfbb8a3', '170da7aee449ff7b', 'bcbbce85468b13e6', '0ea03727e64c2e53', '68d0e78200de8dbf', '38d02514748fce78', '7567fe94d4fba9d7', '3d41895358e224b6', 'a0493b972780d9ae', 'dbbd2d62968c2aab', 'f12488eb2f36d1ea', '06c7cb360e434de5', '58ba43ed2adbd310', '74c2c2c5287346b6']; context = [[78, 156], [172, 248], [19, 69], [0, 76], [52, 140], [55, 137], [181, 228], [64, 119], [19, 68], [67, 138], [84, 156], [84, 139], [12, 80], [8, 80], [54, 124], [58, 129]]; loss = 0.009613 low_pass_filter = 0.300
+Epoch 0: | | 42829/? [8:05:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 42830; scene = ['4e726c834344b1fa', '5b0555ba3a6709bc', '33bde5a1119d0e83', '88f267c298030fed', 'ed3b85d5eac7be21', 'd7fd1af71b563b96', '14aa155881aa04a4', '0749505ed5eb06e1', '015f5a7965860c29', '63a7a59215cec24d', 'cc630b6a939ad1f2', '225ba5fd4f771aba', 'a924aad5ec2cfb5e', '37620819c4ca733f', '19b10eae955dd969', 'b9c5c7b6db633f2d']; context = [[27, 88], [85, 145], [5, 60], [141, 192], [39, 113], [28, 111], [38, 120], [81, 137], [16, 75], [43, 98], [127, 186], [3, 70], [14, 101], [10, 91], [1, 86], [7, 89]]; loss = 0.013174 low_pass_filter = 0.300
+Epoch 0: | | 42839/? [8:05:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 42840; scene = ['f35f4e214dcf6167', '04b592aaa9a9a779', '3738641d7c38b048', '97146039047ffd37', 'f273b89e74887758', '89f6084cce1f05e6', '0576ba3a47501d8f', '96292e5e47cc9fc1', '29327cb2e7a4f3af', '088aa8c10c5fd80e', '51c7623c73daaef4', '3dab79d6331a4331', 'e758c80eeb625520', 'd340521843cbbd83', 'd31e6aa8b1e23cf1', '50feecd89278780d']; context = [[22, 86], [115, 188], [26, 73], [4, 50], [3, 79], [33, 122], [0, 89], [84, 161], [177, 250], [33, 102], [100, 164], [42, 89], [186, 245], [38, 126], [32, 79], [12, 63]]; loss = 0.012865 low_pass_filter = 0.300
+Epoch 0: | | 42849/? [8:05:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 42850; scene = ['e0b0cf7daed6dd9d', 'c9d7a04aa04ce07d', 'a2802eff47145236', 'c34a90bb94522415', '0157375f8be4eb08', 'f1407fabdbb42f5b', '851c56423e13bfa1', 'd3cd37f926d8a6ed', 'a28cbb1b7942618b', '96505316a4f6a36e', '3d5aba046f430460', '51871f23bb65dd5f', 'a992c9caf06a70b5', '35b175d2b24bbb7b', '680269475a3d39bd', '32067753f8e8d4e0']; context = [[5, 63], [200, 270], [71, 139], [64, 122], [26, 93], [206, 263], [52, 134], [85, 164], [154, 221], [23, 105], [90, 137], [26, 93], [23, 83], [189, 242], [27, 105], [35, 96]]; loss = 0.010275 low_pass_filter = 0.300
+Epoch 0: | | 42859/? [8:05:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 42860; scene = ['e892b47d9040ac89', 'c536653897e9f3d3', '4cba1436a5f07e70', '85a4a22d86fc3b8f', 'ce417ca74c6ce0a4', '8efcb7e9a81c2261', '47a15e60ae728339', '00c14be5659b7fe5', '1297e85443bade59', '123139ea072008f8', 'f0178789444cd6ca', 'bc5f1d764f1c0257', 'e89671db250ccf4a', '7fd8856e57e2022a', '32ac33e7248c994b', '65f17c8a6c37e394']; context = [[45, 126], [1, 64], [108, 198], [104, 150], [11, 73], [1, 68], [51, 129], [55, 117], [17, 75], [74, 158], [45, 126], [10, 62], [145, 208], [143, 221], [5, 58], [2, 49]]; loss = 0.010541 low_pass_filter = 0.300
+Epoch 0: | | 42869/? [8:05:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 42870; scene = ['82d896f5142ee6dd', 'd42fb79e6ddf0627', '05c38d7f16dc06aa', '5991f9d30f08eb2b', 'bb24446f1907068a', '2caa3f930087b622', 'afa91cead971100e', '83d64185acba12c6', '14fc46941d622236', '61fb758f043a73cc', 'f30010298b7cb86b', 'f792272e396d1964', 'c3db550fbcb1f2b1', '51f33cc6d9666bb2', '9f3a66dc64d7fdc9', '162bcb36d182892e']; context = [[13, 76], [17, 90], [11, 68], [65, 135], [205, 263], [29, 94], [64, 133], [13, 78], [4, 84], [157, 245], [44, 95], [24, 104], [1, 59], [6, 70], [4, 71], [99, 162]]; loss = 0.009843 low_pass_filter = 0.300
+Epoch 0: | | 42879/? [8:05:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 42880; scene = ['756a0a00121f53d3', '4af0acc8924f8df3', 'ec719970f17f2eed', 'ce31e33f156aeec5', 'e599e584e54fd42b', '1ea972dad8710e4e', 'b6d22d6bd307cc90', '7111ae9755f6fbb2', '9687e70e5f4eed37', 'b7b258cdbcf3f630', '9cd273b7847a34b3', 'ed6e2f71b738e102', '29b6779871858fef', '1e0843e68da6ff84', '221bdcfb2013b215', 'eba5a5aafe96bbdd']; context = [[73, 119], [6, 71], [14, 60], [21, 100], [1, 67], [42, 127], [42, 98], [24, 96], [34, 115], [49, 110], [32, 85], [8, 83], [83, 132], [0, 57], [0, 62], [62, 117]]; loss = 0.010534 low_pass_filter = 0.300
+Epoch 0: | | 42889/? [8:05:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 42890; scene = ['5b15a977216d003c', 'fb28d4ee3fcd32fd', 'c502a410bd03dcec', '61f7065068ff3349', '3cf7dad69eaefee5', '172116f30fd7fcae', '07e0d8c990641601', '7a9bc32b9c942fad', '3578ef18ecb5da3d', 'db8a82af65abf86b', '0a01275bf1cc1246', '61fde5ff3ba1a75a', 'f7a49680ebfc586b', 'e1213b82a155e7b8', 'bb0e27ec75bf779f', '85aeab205d5c7e66']; context = [[1, 61], [109, 164], [49, 123], [7, 92], [109, 176], [5, 53], [110, 184], [27, 104], [1, 46], [3, 85], [1, 54], [1, 77], [3, 50], [5, 52], [56, 120], [170, 254]]; loss = 0.007090 low_pass_filter = 0.300
+Epoch 0: | | 42899/? [8:05:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 42900; scene = ['164c9b475bde366b', '56fe7c0a0a936008', '37ec45c355dafd52', 'ae287783529a312f', '77c03290d901ec15', '946f8b76aa5ffa37', 'a0438ace9b7619cf', '9176677777da9d07', '2870538dbc6f5d1c', 'f54731b471e7b2e5', '6ca39802dcef328e', 'c7c6c4112a3badf3', '827c5f3b3886553d', '04d6547f76c82882', '1136264929a1c20e', 'e616312de3f164bc']; context = [[109, 163], [2, 81], [8, 57], [3, 79], [52, 128], [43, 98], [12, 81], [17, 77], [46, 100], [98, 157], [2, 49], [42, 107], [81, 134], [3, 65], [10, 92], [5, 53]]; loss = 0.009684 low_pass_filter = 0.300
+Epoch 0: | | 42909/? [8:05:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 42910; scene = ['1c2cc296902ee8ae', 'b14c7ad01174f831', '1d1a2d85e494003b', 'eeb6c11a957a10be', '1dff7f35c705b463', '358debce281c8f2f', '59db4a6c5b9f2cf7', '356e2b03d743a4eb', 'a60716af5ec0e3ef', '324638d0f0947345', '0e0a0ac08ac3e1e0', '7227ea629f2cc6c9', '097049e07065fe6d', 'da410afe2c964b37', '78162a0cd3f50a08', '0535a1c8f3ff090a']; context = [[3, 90], [40, 85], [1, 69], [25, 108], [29, 111], [62, 143], [2, 55], [83, 157], [11, 63], [152, 214], [50, 101], [122, 209], [27, 73], [5, 93], [12, 57], [19, 77]]; loss = 0.009375 low_pass_filter = 0.300
+Epoch 0: | | 42919/? [8:06:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 42920; scene = ['8b3780acc3a50b68', 'a07efc76f8c1e3c1', 'b712b3811dd7e165', 'bf3e9ddc696efbc7', 'dce67bdf972fe9c3', '362b3e11a4f3d6bc', '30635ca8f58d53fb', '8e01007ac5b9a2d4', '5c7e81ed74cd0615', '711049f79f182de4', '5e28f56e00a41125', '64596f1845d89dc2', 'f1b5a6dcfedb390c', '783cc6843cfac78d', 'c51c7bc0c8151abb', '6e46379a7ad5ea92']; context = [[108, 192], [96, 158], [41, 114], [135, 195], [42, 112], [17, 69], [13, 90], [101, 183], [0, 45], [11, 73], [5, 67], [114, 165], [28, 87], [88, 133], [0, 74], [86, 146]]; loss = 0.010782 low_pass_filter = 0.300
+Epoch 0: | | 42929/? [8:06:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 42930; scene = ['8f85d318571f0d5a', 'ffde5ed690a9fb48', '8af19f867088ad89', '4001283461bac478', '3d857032268957c5', 'bb3f4b8c39aa0f9f', 'f8d3ad05afe92b39', 'f99052aa7f75d58b', 'cdedebc7404b55c6', '5e4b0194308cb338', '21dd673017056093', '0914ab351ada6998', '5d021215098f312b', 'ba8683c7d9392cae', 'a157e3e707b308a8', '42c0257c36a9e803']; context = [[0, 45], [26, 116], [15, 96], [64, 125], [57, 121], [96, 165], [10, 72], [81, 136], [13, 60], [4, 54], [148, 216], [3, 56], [24, 74], [39, 90], [10, 81], [2, 90]]; loss = 0.009768 low_pass_filter = 0.300
+Epoch 0: | | 42939/? [8:06:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 42940; scene = ['7709edd1d8cd1946', '862f559e6544b4f6', '81be8d1f05e32e8c', 'efe518cb76665511', 'bbac08082d5d47ff', '87566ad86aab444c', '166ab757ce15befb', '607189d95ed54ab6', 'e4bbe64f8760c542', '8c2fc2e12d07c3a4', 'f83aad93553a1fe3', '7e5ffe689e89b806', '61e4f28043ada40a', '6ca890904770aebb', 'e923507f19f5cfba', '00980329a3221f1c']; context = [[2, 85], [35, 80], [61, 135], [32, 89], [58, 128], [23, 71], [36, 101], [83, 133], [42, 94], [6, 80], [74, 154], [1, 48], [3, 59], [129, 181], [3, 86], [0, 61]]; loss = 0.008038 low_pass_filter = 0.300
+Epoch 0: | | 42949/? [8:06:20<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 42950; scene = ['31411305ea3662c6', '9a89163b62f0a058', '3bee0daad1cc6c0b', '5e916cc9972aa61b', 'b9277bf4125499a0', '2950884335bd243c', 'be885aa875712dde', 'db9bc0ff275d4fbb', 'cf784e584d2d33da', '8663906248d346cb', 'ea4fb83f87109ac9', 'd29ff797dbc69ab5', '594a53a4007ff3ee', 'c10a042037a5a120', '0016d89da2d78196', 'fc5c4244dd42b9c2']; context = [[49, 117], [154, 212], [3, 73], [68, 120], [112, 187], [60, 116], [22, 106], [73, 135], [8, 54], [44, 91], [32, 90], [71, 146], [4, 62], [19, 76], [111, 164], [11, 100]]; loss = 0.009416 low_pass_filter = 0.300
+Epoch 0: | | 42959/? [8:06:27<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 42960; scene = ['15cdc58fd7076c73', '8df6a8f9f01e468c', 'd810f4eac26218ac', '9f0eb311381bcfe8', '9a96e3934ac1f20f', '8b9ec683f13ccd82', '8532e67cc838fd57', '3e5be5ea98eca2ec', 'd5200e6507f07d30', '89182bbf4b3f1b98', 'f86b62c904dff358', '441bf05cd0218e09', 'd307fd3627868961', '1096d576fca73995', '8eb11b08983f5781', '6d17cd15add9aff0']; context = [[35, 82], [9, 89], [3, 83], [43, 91], [4, 67], [3, 81], [15, 75], [3, 60], [42, 111], [27, 76], [0, 62], [46, 92], [72, 152], [29, 89], [2, 58], [0, 78]]; loss = 0.009361 low_pass_filter = 0.300
+Epoch 0: | | 42969/? [8:06:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 42970; scene = ['ed61b288e9b09a03', '08866625f34ea7da', '3fe88d40aa66d61e', '0000cc6d8b108390', 'b66fb806ce03f4b4', '44a06a79451f1d5b', '2e26fef30ca12494', 'e3d743c0a3aeaae2', '319a31f5b39470e3', 'bdca46414cff3a7f', '74b722de71061ce5', 'a9b9180673bd7d49', '7f97434269dcf098', '76b8f8f5934a4cee', '66763e1f9feda3a1', '3954a34db791a545']; context = [[17, 75], [58, 104], [15, 81], [141, 201], [29, 115], [2, 64], [111, 166], [85, 170], [78, 158], [7, 66], [4, 63], [16, 64], [3, 87], [36, 105], [13, 95], [14, 75]]; loss = 0.009324 low_pass_filter = 0.300
+Epoch 0: | | 42979/? [8:06:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 42980; scene = ['2ae43ea35e770eb7', '7086b238d97bd8cc', 'da3e37eecbffd10a', '73211a2450692b43', 'c053559c523e6708', 'e18e70c8df6d6592', '59d773c1b4f4dfff', '76ef0b2f5bee6d73', '9b8fd789ba8b27ca', '41b343385bcd830c', '06517d6ba13f0022', '3afea6460cfb4f15', '7bb0a3af8524ed86', '7022a0fb6e6386cd', 'e754578fd748a51c', 'ac507b8e32118dd5']; context = [[3, 67], [18, 71], [8, 66], [42, 97], [62, 109], [7, 97], [180, 267], [1, 71], [12, 61], [95, 146], [188, 274], [3, 58], [0, 49], [7, 80], [4, 69], [17, 74]]; loss = 0.009725 low_pass_filter = 0.300
+Epoch 0: | | 42989/? [8:06:47<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 42990; scene = ['d0e63520730f5afb', '9d5a2987d8c40f04', '2ec0006a9574c477', '7678178333c89640', '5a56b75ac75a93a8', '51f633fd87dee5a3', '4d11b8a54ca3f310', 'ce02a33915d0b0d4', 'e3f35f5e469a2642', '7877153d7b11265a', '95e2d1a9e6e1ce77', '53d3a781a7db7cae', '7c1d6f3dd9542cc9', '9bc6fbf248bc726e', 'a59d4fe567e33cf0', 'eda5afc31e72fa07']; context = [[166, 253], [0, 62], [11, 62], [2, 92], [25, 89], [38, 107], [69, 156], [6, 64], [18, 102], [5, 69], [10, 70], [14, 101], [63, 140], [2, 82], [43, 115], [33, 99]]; loss = 0.010175 low_pass_filter = 0.300
+Epoch 0: | | 42999/? [8:06:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 43000; scene = ['0f928aa808268e96', '8b60b394df2a9220', 'de1b480f7479ad7a', '4a7229184d136690', 'b7f4f08c3ee747cf', '7c1c07c77d39e0f9', '2f1f43ea5b2766f4', '77659febf946d8c0', 'd49b4fa7b43fc10c', 'acffd6c013609d84', 'aca30770bf5b5ac5', 'c0198b11cb05329d', '1a98c811762bdead', '244ef5363d5600da', 'bf202c2307040974', '2a2334b39a65d2aa']; context = [[2, 90], [20, 65], [116, 189], [15, 98], [0, 48], [2, 72], [0, 78], [74, 153], [70, 137], [74, 131], [205, 270], [11, 93], [14, 73], [21, 72], [188, 259], [17, 63]]; loss = 0.011322 low_pass_filter = 0.300
+Epoch 0: | | 43000/? [8:06:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0validation step 43000; scene = ['7eb15ceaa1029944']; context = [[103, 156]]
+Epoch 0: | | 43009/? [8:07:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 43010; scene = ['c7a425192f633774', 'b2569229b71e0bf8', 'd807cc0cdc241ec3', 'c85455aca12c82d7', '0ea6cb5416dfeb41', '0c1ac606620e5238', '22cbdc156eda0b37', '785c577c10d1cd0f', '940c0485e5b7b5a8', 'd683f1b0a075297c', '4c348950840d382e', '2e5f485606a7ce83', '3eb933c3d09e01a6', '4b0fdf86c6cac027', '64626bd202f2254c', '69ae4d9c04b6847f']; context = [[77, 144], [1, 51], [1, 69], [9, 63], [66, 127], [26, 79], [41, 103], [6, 82], [196, 276], [3, 55], [97, 181], [91, 140], [12, 67], [8, 64], [43, 106], [56, 125]]; loss = 0.009744 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 43019/? [8:07:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 43020; scene = ['971586ddd0d6a4c7', 'e54d2bab1d8c3eb7', '3de78a7d8061257e', 'f7c60ce5a286c245', '2e791e46ea69f1e9', 'bb899c81713bdb22', '3e983363b5c730f2', '96a6ec4c056744f6', '511a709b7ffba3bf', 'bf2160e6311b9f9f', '5c8cb60ed82dcb13', 'cc4736d813cd7be5', '9de17b1c2e87f15b', 'df6c10f80caca76b', '8cee033ad88550f2', '7eb30b2520ec249b']; context = [[5, 73], [115, 185], [7, 69], [0, 54], [74, 126], [66, 113], [219, 278], [123, 179], [21, 97], [52, 142], [19, 94], [79, 169], [20, 109], [68, 134], [0, 67], [187, 251]]; loss = 0.013257 low_pass_filter = 0.300
+Epoch 0: | | 43029/? [8:07:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 43030; scene = ['9e732e959082a6c4', 'e381359e340285d0', '4f41e6b2c7866cc7', '764281da53fca2a0', '7bd870f9b2a9a6f7', 'bf09418608207a23', 'da3b6adaf492411a', '53be81693f0a2322', 'a52873b76bc23753', 'c084573502466243', 'e4d6ec2508bbf420', 'a3655a06595bfb29', '450a7534d76e1d77', '3d0e037775a94dad', '57ef0c24d90eb0ad', '9c6b4263d2b5bf61']; context = [[4, 75], [19, 101], [12, 82], [7, 67], [57, 109], [0, 77], [1, 46], [17, 105], [106, 170], [69, 150], [72, 137], [77, 148], [53, 106], [72, 136], [14, 91], [15, 100]]; loss = 0.014703 low_pass_filter = 0.300
+Epoch 0: | | 43039/? [8:07:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 43040; scene = ['c275da1b07699d82', '80e84c3133ac54d0', '531e56a1ae5c1045', 'f99e55f59e21e131', '71f669a7f9590da8', '0fa0f0288005bdaf', 'dbb2260383173238', '8f15d621211d0cf2', '54f675ec7c77eddc', '524021c246a1488d', 'c97f679a709b82c6', 'da635272c8a2b142', 'ec4e714f7395a1eb', '6a089ad9ba7da80d', '69bc465e5a422357', 'acf5370b7f9982b0']; context = [[0, 70], [98, 178], [5, 91], [1, 49], [10, 70], [65, 134], [20, 108], [4, 57], [139, 229], [27, 83], [90, 160], [97, 143], [141, 189], [74, 123], [95, 174], [90, 137]]; loss = 0.008654 low_pass_filter = 0.300
+Epoch 0: | | 43049/? [8:07:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 43050; scene = ['c0745c462e0dfc6f', 'b7bb9c160ac5e0f9', '59e466387c85c213', 'a55f20d7bed0758d', '3d00778f45626985', '008caa6df1da0cd1', '27f2c5d07c2eb595', '92e8d8ff5ffd7c72', 'f9acc10370d2e6af', '0e320b46c75c20c8', 'a557eb3b4761195f', '174b844436d59158', 'a600ca6d66d0a794', 'c92fb8581dd241e4', '7898fefb2a4f8bbe', '913e0ab310fa1d5f']; context = [[3, 69], [10, 64], [0, 50], [12, 88], [154, 207], [21, 90], [1, 81], [12, 78], [15, 91], [96, 166], [2, 67], [0, 65], [88, 154], [10, 56], [18, 73], [33, 93]]; loss = 0.010292 low_pass_filter = 0.300
+Epoch 0: | | 43059/? [8:07:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 43060; scene = ['d510619771b2dbb1', 'f7ff5b1477f82169', 'd470875e58c39c58', '0e3e75ce2921bc9b', '755a833b56e0f079', '5747f4b140d83aa4', '87b4a6264698ec22', '31635ff9a2e3ccc1', 'dde473074941ed5f', '4e66b9803173ed3d', '53dd8f88f5a8df75', '5671fc8bcb5c086b', '8f3647ba2a7208d5', 'c51f5219c3d09e33', '5111c7e2b993a59c', '5f6dff31cfdd1827']; context = [[23, 78], [1, 82], [21, 89], [20, 88], [8, 59], [57, 129], [22, 69], [106, 178], [201, 247], [35, 84], [76, 154], [23, 73], [1, 65], [1, 73], [3, 69], [37, 102]]; loss = 0.010154 low_pass_filter = 0.300
+Epoch 0: | | 43069/? [8:07:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 43070; scene = ['50c673c4f63de8b5', '3d1834e1cb8a0a56', '47081479d4cd912f', '298229a37fabd908', '1706922b35a131c1', '5ff49d7da5abf152', 'e321918f2c1dad3d', 'ece875e12fa6f3e5', '11d1412ed987535d', 'fac49f6dbe07e555', '7e3f87e5affd253f', '73642405c8a49400', '27eccfe9c3c099bb', '3d577e0b974e4a66', 'b037d86705ba0f82', '5585e334c7d27d2b']; context = [[40, 86], [8, 63], [66, 116], [0, 45], [28, 85], [0, 69], [20, 93], [0, 79], [7, 75], [5, 64], [1, 75], [64, 128], [2, 84], [11, 56], [15, 89], [13, 92]]; loss = 0.009085 low_pass_filter = 0.300
+Epoch 0: | | 43079/? [8:07:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 43080; scene = ['e45c9f66012ef731', '5ecd4f2761d9877c', '91ce38958fa8ee3e', 'daf3b5445dda23fd', 'ac0a5fb83c20516f', 'fd2c850e3620104a', '55ff5f5024b9f532', 'f818a2808c5d168c', '69c1746d1fc7c807', 'e485f3bd0dd46f04', 'd7d8e8bc060b6ce1', '51c1d0c26b7307b9', '60b23fcb19992892', 'b3aa335a5095564b', 'cc27e607dbfdac8f', 'c577c31302675f04']; context = [[83, 138], [173, 225], [14, 74], [1, 55], [2, 70], [140, 230], [3, 80], [3, 58], [26, 115], [47, 97], [4, 92], [18, 77], [33, 78], [3, 49], [0, 81], [77, 131]]; loss = 0.011164 low_pass_filter = 0.300
+Epoch 0: | | 43089/? [8:07:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 43090; scene = ['4b91e3d10a227be5', '50b2407be378b2cb', '35e10408a07458fc', '52c7f7de545e4b71', '6310e828b3588296', 'c2c61e3082375bd8', '32dc706b5277e8a4', 'bf8ad1259257dc45', 'f545152700b96263', 'aae62c9143d59bf0', '331ef24c06150099', 'd88fa63cc32b7683', '6c0ef012029b30f2', '0edd08d42e5a2f9f', 'fbf755394908a06e', '2898d4c76acafed9']; context = [[69, 144], [14, 64], [1, 83], [10, 57], [46, 113], [69, 137], [80, 125], [3, 65], [0, 45], [159, 239], [19, 89], [7, 64], [21, 99], [154, 241], [54, 132], [11, 99]]; loss = 0.012239 low_pass_filter = 0.300
+Epoch 0: | | 43099/? [8:08:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 43100; scene = ['903cfed1bcaee645', 'ba8254c9d0eb8a6f', '8c83c56bb3632a8c', 'a1d7341cb3041276', '2726f059d69c25f4', '1b8abd07e10f4e79', 'bc67854fca5cdac2', '122d66974706d78c', '31ba0028326b8b17', '6515de6c81e7c80c', '59e04cb072686a97', '3a13e56691c8396e', '5f45c360d76a3b12', '50c7f40e49739339', '3836fa3dcc6aacc6', 'f81c1b6ddc6962a0']; context = [[1, 49], [47, 109], [12, 82], [97, 165], [7, 97], [21, 104], [17, 70], [59, 131], [12, 89], [2, 69], [49, 105], [43, 93], [18, 86], [39, 88], [4, 50], [38, 107]]; loss = 0.008141 low_pass_filter = 0.300
+Epoch 0: | | 43109/? [8:08:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 43110; scene = ['e9feab62e5a92e81', '7e709a5a25a8425c', '46d5053d66888c5c', '4e2cb10509f33a7a', '64d29c9ab21dc5fe', '541275236e1e56fc', 'de561e02e852ac64', 'cf4a0213f57bed85', 'c1d702f24b2f7bfd', 'ab7f018f21bef342', '2cd702dc4fdef4a4', '7d7b8d02fa56e811', '642cf78c4fa0ef61', 'e7dfd4fc097e0d5a', '89dbf48fc8772aae', 'cd83136b559517cf']; context = [[110, 159], [108, 158], [70, 150], [3, 84], [8, 71], [7, 61], [90, 153], [103, 163], [2, 58], [1, 49], [34, 90], [158, 222], [23, 76], [140, 199], [64, 117], [3, 63]]; loss = 0.010668 low_pass_filter = 0.300
+Epoch 0: | | 43119/? [8:08:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 43120; scene = ['840394639a2b1320', '53a4687fe4c80864', 'f8c51265453ae30c', '71b33347677e1207', '40ed2cb104667242', '78bf4639eab831ff', 'f8c1caf3eab5b16c', '5cc16e3f7aaf0112', '4930a1bdadca5861', '9e1a163a4b26ae11', '43e55c2dea6145d7', '3bdcf30a816f96f5', '82b9f261da55d52e', '31e356b9fe421e30', 'c257137f595faafa', '5124f62ded6ed532']; context = [[24, 79], [2, 80], [21, 76], [216, 269], [2, 81], [153, 210], [37, 92], [31, 89], [4, 53], [0, 73], [25, 92], [7, 95], [0, 68], [3, 70], [1, 46], [37, 95]]; loss = 0.009891 low_pass_filter = 0.300
+Epoch 0: | | 43129/? [8:08:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 43130; scene = ['2bf395f4a1046810', '912bd8af2638b94a', 'b3948b46c43ce90f', '0badb8c0dfa8d328', '5d02873ad626d986', '9453fa28dfd12dfa', '78dff24134373857', '2cfc0d81293f8b81', '87e825ae30a124de', 'b62bfc8b7c12625e', '3c5242b434fdef8a', '0ec6f123efb145d8', '066e63a6755acf80', 'e1ae2b9820f7ade0', '23641024d1eef774', 'f0c43ca3fac625a1']; context = [[173, 245], [84, 163], [110, 161], [176, 236], [71, 134], [51, 120], [2, 75], [40, 92], [69, 114], [203, 249], [66, 116], [159, 234], [0, 59], [0, 68], [12, 93], [35, 96]]; loss = 0.009220 low_pass_filter = 0.300
+Epoch 0: | | 43139/? [8:08:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 43140; scene = ['ad7c9253e7d65d04', '39a2e6d8f621cf32', 'e7c1d9d2e45a2d28', 'e3724fcddb4e902b', '8671d2e1c7136668', 'b8655d4d9aa7c683', 'f8c20984cae1a403', 'f0c29577a92bfad0', 'f57ea5136da9cd92', '0a5bf8a3d858f282', 'f3b995e8f9462516', 'f5465b7e3e63562b', '3611b0062e270442', 'f0b0d2b30ffdc3ee', 'e32edfa8b94975f4', '3725b3e558929f1c']; context = [[19, 66], [48, 97], [68, 150], [60, 117], [0, 62], [6, 66], [34, 91], [17, 68], [69, 144], [1, 70], [40, 104], [20, 91], [28, 115], [15, 60], [50, 102], [26, 77]]; loss = 0.009438 low_pass_filter = 0.300
+Epoch 0: | | 43149/? [8:08:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 43150; scene = ['d708ed30abecca79', '0a610a129bdcc4e7', '4e31a74c326af096', 'e2c42c4361fa6ab8', '7b7be5f8bfa1173e', '914c3efa325a4afc', '7452907ecdaa8596', '6b30b0a24f895314', '34fb19cc7ed5b0f9', 'b21393eccec63de1', 'bdb75944385bde23', '2d366ded90859075', 'a1f824e305dab929', '69321bb9baefbdd1', '8fdc56361649abca', 'e95b6eeabd6d31d0']; context = [[5, 71], [61, 143], [129, 183], [5, 78], [24, 83], [86, 165], [101, 147], [126, 172], [40, 96], [37, 99], [28, 81], [178, 267], [3, 67], [15, 84], [1, 84], [37, 120]]; loss = 0.011678 low_pass_filter = 0.300
+Epoch 0: | | 43159/? [8:08:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 43160; scene = ['4e3112764dbd9862', 'de0d6a8a41cb09b8', 'd68d3f0ad69e8ab8', 'f46ccfe3474b9dca', '74e8bbc4737ef761', '36eeea12dfc36430', '24fdac454bc8b3b0', 'c3120b358e2ef0eb', '796064d2460d5507', '9de4a2f511920a69', 'd14f895ef004feb7', '5af2629c46a31259', 'a8b97f30e900ed13', '48129b8304e7e807', '1a565ef44363e64c', '8e605cf190082bc7']; context = [[26, 101], [33, 90], [12, 64], [62, 110], [20, 69], [36, 82], [95, 144], [52, 106], [12, 67], [3, 85], [16, 74], [10, 87], [5, 50], [25, 114], [11, 78], [0, 81]]; loss = 0.009995 low_pass_filter = 0.300
+Epoch 0: | | 43169/? [8:08:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 43170; scene = ['eb07f2be65cd3ef9', 'a5a8e6a3d35a22c8', '144913b1e5d43257', 'cffffa4c0548a72d', 'fbc3668b9e73950a', 'df662bb3e944a8db', 'f4e703d23e3cd7b1', '2da17464ef895b63', '513aa200a2b07a1e', 'd1ebaa99e640cd7d', '789a1573a8a7f5a8', '4198c7129a726cf5', 'a640a55439a43108', '190dc10200a1049e', '077a814db8619777', '39537fd202eb32b3']; context = [[0, 45], [7, 86], [22, 79], [98, 163], [6, 65], [0, 45], [26, 101], [14, 63], [18, 65], [32, 81], [112, 158], [11, 91], [50, 128], [8, 75], [20, 98], [24, 98]]; loss = 0.009625 low_pass_filter = 0.300
+Epoch 0: | | 43179/? [8:08:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 43180; scene = ['8bf01fa3d703d54e', '142af18c2b5f0145', 'c2c37a6bf0a12e0b', '1c966db883c0b9f6', '852f866007866388', 'a950d4448837f574', 'afad90a8ee12661e', 'd5071670e0c38441', '158c7dda2cf0765a', '5db1f93559662c33', 'ef9f95673c607cfc', '9c6f712cead21584', 'c200cf8e0f790a5b', '246d7efd306d3317', 'af3fb667751c8a50', '91e36f2d0b1180b2']; context = [[37, 95], [177, 261], [168, 230], [96, 149], [28, 110], [0, 47], [17, 100], [25, 92], [20, 82], [6, 94], [1, 71], [82, 156], [0, 90], [14, 89], [0, 46], [10, 68]]; loss = 0.009652 low_pass_filter = 0.300
+Epoch 0: | | 43189/? [8:09:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 43190; scene = ['26f14525b77ae661', '59900f1fd9d060db', '7b47efdd91a80bdd', '17d44006a4595567', '205b22cbaf84bf3a', '3f367e5ae2e8a057', '4e67afbcae5c4887', '0cbef6047abffe2d', 'a0867ed5680ab015', '58aec0707d094569', 'd34fb0e92018e2a2', 'da127d5d82256afd', 'db062134f9dec5f1', '7db4ed902d003a63', '5d244ada6c250442', 'a9070de00e86feea']; context = [[203, 261], [43, 118], [16, 66], [4, 53], [1, 70], [5, 57], [0, 81], [0, 45], [93, 160], [51, 112], [0, 46], [20, 78], [42, 103], [95, 164], [8, 61], [26, 109]]; loss = 0.009386 low_pass_filter = 0.300
+Epoch 0: | | 43199/? [8:09:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 43200; scene = ['37d9966442c8f4a2', 'ec15da6be3f66c37', '29a5e76da0fe508e', '3e07007116856015', '9a45995c95b9df54', 'b4552394fff24c7b', '1e90fef135df3208', '33a7ac7a336c62ac', '98fb604e2b221457', '9619b46c5d1be789', '9e59ae705591e046', 'a64bc1a231c44593', '359f5288f9335f3c', '55220b468b64ea7d', '7af3ae39bafa42ca', '02dfa1c2784f08eb']; context = [[96, 169], [12, 91], [0, 48], [101, 152], [160, 230], [1, 53], [65, 125], [19, 75], [2, 47], [0, 70], [122, 169], [133, 199], [11, 89], [16, 82], [53, 102], [25, 86]]; loss = 0.013641 low_pass_filter = 0.300
+Epoch 0: | | 43209/? [8:09:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 43210; scene = ['6528b83786c46e7a', 'eaf0ed1633d82698', '4aba3469d1ffa652', 'da23aad097fb5249', '6d810108226870b2', 'ff936f48ab11cfac', '4e9cc75a8c16e6d8', '71a59f19bca97b74', 'bf85bb00ee815c33', '874d515726ce15ca', '0621379994686889', '9a0d8f16dfe38363', 'd0348d9d77d5db6b', 'fe171f90f688619c', 'a51b891b131020be', 'b4cbe1753e9d2ae4']; context = [[31, 79], [49, 131], [1, 58], [6, 53], [50, 111], [40, 110], [5, 62], [24, 76], [30, 115], [23, 87], [35, 112], [164, 238], [0, 74], [16, 61], [12, 96], [132, 212]]; loss = 0.012877 low_pass_filter = 0.300
+Epoch 0: | | 43219/? [8:09:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 43220; scene = ['eda215a16c061de4', '5744a176a9fc4534', '428542643720618a', '3c67fba20c78c21e', 'f3793c990ac5465a', '03802d32fbbf0c9b', '55cb413872623381', 'd1c64e750c7577d8', 'e294b6a633246ed8', 'a68112570746fce2', 'b60bd0b7724eef6c', '08ba91736b9b2a17', '2b36862276366c49', 'b2f641567a21c670', 'd08a17e8ed283bf1', 'fb58d803ff8567b2']; context = [[109, 184], [53, 109], [10, 92], [0, 67], [23, 113], [5, 58], [2, 63], [45, 98], [0, 70], [1, 86], [23, 68], [52, 139], [1, 71], [87, 153], [80, 148], [53, 101]]; loss = 0.010713 low_pass_filter = 0.300
+Epoch 0: | | 43229/? [8:09:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 43230; scene = ['25280e32ba676f03', '2629da604e80913f', 'c04814a993082566', '2c233ea19f5a5f34', 'bcc00e27ca39c0e0', 'f48e3fb895bd459a', '8b06df9786bd4aa4', 'fab2da62901db99e', 'abca120df6b75dbe', '76e66bbabbfd20e0', '53ee9e513ce2bbd3', 'a984a212ae86b726', 'b6a9bc7b9e0ddd26', 'f69d162a045db893', '16cf103f5cb7dc61', '697f19af3b7bb831']; context = [[0, 45], [8, 69], [5, 72], [31, 104], [18, 81], [16, 97], [149, 203], [0, 69], [86, 145], [16, 95], [10, 99], [3, 77], [0, 46], [50, 112], [0, 61], [6, 64]]; loss = 0.009482 low_pass_filter = 0.300
+Epoch 0: | | 43239/? [8:09:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 43240; scene = ['9bb3b26e38d6787e', '2771e4e5791527b6', '0db598812d56c68a', 'c4ffdc6886c6cb9b', '8743d6f5a3c7d7d4', '38464696d7b9cebe', '0350c9c065456337', 'db8076a9bbb03e9e', 'c3d7c6b0a2f4961d', '28b23bd8cc4b5cc9', '24a3779576222a94', 'cb4e1239c00db508', 'b3698fba681b1429', '8e12adaf19e58a53', '5f6129348cc047df', '77c48da8f803ebce']; context = [[62, 146], [13, 76], [34, 91], [54, 124], [115, 190], [73, 119], [13, 100], [2, 90], [4, 74], [51, 139], [9, 54], [3, 56], [18, 81], [15, 80], [168, 251], [1, 70]]; loss = 0.010336 low_pass_filter = 0.300
+Epoch 0: | | 43249/? [8:09:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 43250; scene = ['67b2f1c002c84aae', '210b45452952e838', '177e02752605973a', 'ca87a70e313be9ae', '33f73227a2a67557', '753ad3e1d6a005bc', 'e5c25f8e979ee3f2', '4ac08235a21e27a7', 'f8d97e84b057c5fa', 'f98d30de8dd12bdf', 'c34a80c8baee9a1b', '863cd9e3c3374c17', 'dfbdc15546c94452', '5d078b0df0aba401', '0356f20494f9dc73', '49a7ca8ab07f5959']; context = [[1, 55], [12, 97], [7, 56], [34, 89], [21, 74], [115, 173], [24, 103], [13, 58], [90, 177], [3, 49], [1, 74], [69, 140], [34, 114], [15, 80], [69, 142], [15, 71]]; loss = 0.010921 low_pass_filter = 0.300
+Epoch 0: | | 43259/? [8:09:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 43260; scene = ['58e001030d942c55', '408c3d33681fb78d', '5292a799b6f08483', 'b62e9605955c06af', '495f43228d58ee0f', 'e984993558178156', '105174be89a2dedf', '3d3071a3081b6611', 'f6d99b98c43d1c51', '18d2d38e04e4510a', '25fc725784a63284', 'ccc8e1d1f59a540f', 'c93d526ee4bfcbf9', '687a0929cc80074b', 'e5eb61f80568241d', 'c50dd0e181c43194']; context = [[13, 98], [15, 65], [3, 69], [58, 114], [22, 111], [46, 132], [7, 82], [150, 239], [24, 72], [46, 104], [1, 47], [21, 79], [13, 71], [1, 73], [32, 94], [50, 105]]; loss = 0.009017 low_pass_filter = 0.300
+Epoch 0: | | 43269/? [8:09:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 43270; scene = ['abf5fcf8652aeb3c', 'eedc455e3dcad2e8', '8a40913885bb9c45', 'a298b940467fa76f', '38366abfb0f92890', '0bd7d1356643cb9e', '335068a6ec7f576e', '9f99a95604c4986f', '062fa8871944a658', 'b97d8378949ed0b7', '9266579d30f7b588', '22891d0e2f68ebe8', '17dd546c069a1904', '8fd5b30160a4c68b', '60fa6aeba251417e', '583652ed8fa99eb3']; context = [[11, 68], [3, 77], [104, 159], [0, 51], [2, 76], [59, 135], [96, 175], [42, 115], [2, 52], [5, 72], [95, 143], [10, 65], [106, 193], [45, 133], [111, 187], [29, 96]]; loss = 0.012179 low_pass_filter = 0.300
+Epoch 0: | | 43279/? [8:10:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 43280; scene = ['b89cbbb0164025a2', 'fec0013fa8a83032', 'e9b7ac82a81389d6', 'f1d71185915ddf80', '6d0370efb4d83ef1', 'f6d99b98c43d1c51', '3d3071a3081b6611', '2b3d0f3383cdbf6d', '495f43228d58ee0f', 'e984993558178156', 'ccc8e1d1f59a540f', '18d2d38e04e4510a', 'c93d526ee4bfcbf9', 'dc3bd32d9c7eb770', '105174be89a2dedf', '25fc725784a63284']; context = [[11, 81], [59, 127], [5, 51], [0, 65], [89, 160], [11, 68], [49, 94], [9, 62], [120, 174], [30, 83], [22, 80], [74, 148], [45, 93], [67, 138], [6, 89], [1, 48]]; loss = 0.009819 low_pass_filter = 0.300
+Epoch 0: | | 43289/? [8:10:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 43290; scene = ['191f822dc7fa0c96', '409e4236aaf4b6fe', '78a1eb48fb32e7c3', 'f660faddf8e7c064', '233cebf44f00b4b0', '3256cf35e6abfe1f', '97c61bf4019ef230', '78b694e06349d124', 'a9ed4a87c1c6b665', '9e233268774cce82', '03333aa4887f26da', '32074709c9de22b8', '2d10a1bc4e9f5fe2', '73a06caaa807e329', '6bf4232300f914f8', '325ca089610a7226']; context = [[0, 75], [164, 229], [12, 69], [12, 81], [13, 75], [15, 66], [131, 203], [0, 45], [10, 80], [61, 125], [2, 83], [17, 106], [2, 69], [165, 214], [104, 163], [1, 58]]; loss = 0.009245 low_pass_filter = 0.300
+Epoch 0: | | 43299/? [8:10:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 43300; scene = ['458af535dfa1b0b4', 'e4127b01ba04fbe1', 'bbfeaf1a2a7d4b40', 'fe1b841e883993c6', 'a0fbe6aa2ebe6cc7', 'b10bac1cbfbcddde', 'a7183ba62f34173a', 'f239832e46a934bb', '683f583409f21d60', '8e90b2efe9d89c3f', '3f1bb453d4373915', '4c15cd3549a1b7d7', 'c158b65df6e45293', '840e53cc973b6f8f', '6be72e2c49d656bd', '194ab22b4bcef56d']; context = [[224, 275], [23, 74], [81, 158], [12, 91], [40, 98], [3, 50], [3, 64], [89, 135], [0, 75], [0, 58], [3, 48], [2, 68], [10, 96], [43, 93], [20, 66], [12, 75]]; loss = 0.009802 low_pass_filter = 0.300
+Epoch 0: | | 43309/? [8:10:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 43310; scene = ['0e3f607337796809', '29a281fc3ab05630', '469357405bf85934', 'abe2e633aa6852c5', '7764929e30ee8763', 'a8fd9eded2ff8913', 'edc53cc70788e161', '477268eceff12807', '32a71cbba220ffc1', '60cfea5a1bd567f2', '52c3a0280109a146', '4d8d06f8f01e490b', 'c3a3738c8ddb0e85', 'a26506571c3951f0', '142af18c2b5f0145', '158c7dda2cf0765a']; context = [[1, 64], [97, 154], [41, 100], [7, 82], [30, 77], [6, 63], [29, 87], [0, 47], [14, 94], [33, 98], [16, 99], [4, 66], [6, 61], [20, 90], [44, 131], [50, 112]]; loss = 0.010999 low_pass_filter = 0.300
+Epoch 0: | | 43319/? [8:10:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 43320; scene = ['75770dd0b7c22fdd', '594272333e575988', 'c609f5a60f4bbd0d', '1b45051c94bc74a8', '72dd942645e6c65d', '01687b961861c900', 'a4e727402e2df208', '014d6d0fdfb6393e', 'eb5d599c32500465', 'e46623a7d46b50d6', 'dd524a4305e778c8', 'adff1244e7025d77', '2abb97f6db84d481', 'e31486facd91f4f5', '723db63d24c84d1d', '4daf1a5b162d8f4f']; context = [[0, 85], [149, 238], [145, 199], [35, 116], [123, 181], [142, 222], [33, 103], [60, 107], [88, 135], [89, 139], [11, 69], [2, 86], [1, 70], [35, 80], [59, 125], [23, 80]]; loss = 0.064033 low_pass_filter = 0.300
+Epoch 0: | | 43329/? [8:10:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 43330; scene = ['59d81da76eda2f59', 'fb0e99a7cc720ab3', '9ab8790f640525c5', 'dd9f02a2c1f969f3', 'e75e5a54d2b27d9d', 'd75878b63705d58f', '3027e1f17f7891c8', 'a53e86a301e2d2b9', '0b2c6745daa6b386', '739668a2e4736e71', '611e7445a2567f6c', '430406c1e2815e24', '184f88882b243fb6', '0949fc7fd8edf9e6', '6be1fce840607d8a', 'f5ec2d727c316a10']; context = [[46, 135], [12, 79], [36, 81], [3, 74], [18, 87], [97, 156], [84, 172], [46, 126], [27, 95], [100, 172], [29, 100], [95, 180], [35, 110], [55, 121], [1, 48], [20, 66]]; loss = 0.009782 low_pass_filter = 0.300
+Epoch 0: | | 43339/? [8:10:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 43340; scene = ['4a48d77f5585a875', 'fc36c85463412c38', 'c25194b2a961a96a', '1c165afe78c29c55', 'e1de4c36a3f11e1c', '9561b33818543eeb', '2935197dcf0164b0', '826ac620be5fbf0b', '2d78bdcafda0e615', 'a65c18f99fcf5f82', 'fd5aa11dc66a75c3', 'efb590fd4b4eb0c5', '599f80ec8db49f3f', '72a143742fde6395', '07e15647254b6cab', '9e511f66516b17db']; context = [[34, 95], [26, 90], [6, 63], [19, 97], [9, 82], [72, 158], [3, 59], [6, 73], [0, 73], [8, 71], [15, 104], [9, 70], [140, 206], [0, 58], [1, 64], [157, 236]]; loss = 0.010526 low_pass_filter = 0.300
+Epoch 0: | | 43349/? [8:10:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 43350; scene = ['e834fab2208f1db4', '27720c60f338c25f', '31da2e3201fe611e', '63623bf352725322', 'b024b50e436ede79', '16382971f77e771d', '1860d62e96c4d064', 'e5d0517dd6053a89', '58bec688c826e172', '8cc26f11d5ea77cb', '4ef6e3d8d9059199', 'd8508e57717ecc33', '3bd54267eb74c3f1', '01aac2aba4c7acba', '98afc5084cb45db7', '00a61821997f3fac']; context = [[35, 116], [163, 233], [41, 128], [0, 49], [4, 49], [11, 80], [0, 71], [5, 55], [19, 80], [74, 127], [8, 88], [10, 86], [143, 199], [10, 80], [17, 89], [48, 117]]; loss = 0.009580 low_pass_filter = 0.300
+Epoch 0: | | 43359/? [8:10:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 43360; scene = ['a8317f5de4f6f22a', '8246e3493d527708', '9d5c79ae97b12abf', '78ddb18e77a98079', '0b7a5b3706827cca', '0e916e63743f841b', '530ef7860d383ff7', '997780a3a81f3c78', 'cad89df12fc146e9', 'e937f0b04a960552', '7d8f97b868ccbb20', '91d495bf87c49477', '36bf8b485c1284dd', '385e4feffca538be', '7b70cc2310d009ad', '7df8b2db66f22383']; context = [[3, 66], [22, 80], [2, 52], [7, 66], [32, 102], [33, 122], [61, 135], [2, 72], [0, 68], [9, 90], [34, 113], [50, 110], [3, 84], [113, 183], [34, 105], [24, 76]]; loss = 0.011401 low_pass_filter = 0.300
+Epoch 0: | | 43369/? [8:11:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 43370; scene = ['08c5933644751ccb', 'f56aad78a43470a4', 'd3ec125d78abb4d3', '877301a2234c6e85', '9ed1229832a964c4', 'aa48089b1858e407', '2920cab8cf74aa1c', '0b86648300a5e5c7', '6627f3f18ff109ae', 'c0d3f3f7b141857a', 'b9f698335e518686', 'db4ec9038ac73682', '9fa7b7f29fe6c2fd', 'a2cdc40a197f913a', '5450388684258455', '94e45c6e564caba1']; context = [[9, 59], [118, 168], [17, 98], [101, 178], [109, 155], [11, 62], [2, 76], [5, 75], [39, 89], [12, 101], [49, 105], [20, 96], [108, 175], [14, 87], [105, 186], [1, 47]]; loss = 0.009915 low_pass_filter = 0.300
+Epoch 0: | | 43379/? [8:11:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 43380; scene = ['211274b1f1c0b2f1', 'd67eb389200533bc', '44b11ed1882e73b6', '4ac2c53d8a94fc4e', '360071cdfb60fb0b', 'fb330853f70eb73d', 'a584b2e57a8134bc', 'b7906279b66195ae', '0aa07b78c395a680', 'd3dc24cd90a79d97', 'c45d298bb3d0da30', '34d534d9aa514cb4', 'dc4ec3022ce21d0e', 'da4a302718afc212', '41dd55f0272aba33', 'a102f80bd807b881']; context = [[14, 66], [8, 81], [41, 108], [1, 56], [29, 102], [14, 69], [4, 94], [54, 124], [1, 56], [2, 53], [110, 168], [57, 127], [0, 51], [171, 261], [15, 62], [10, 98]]; loss = 0.011363 low_pass_filter = 0.300
+Epoch 0: | | 43389/? [8:11:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 43390; scene = ['5774a89a2d5cd670', 'ef394996c3b4b964', '2dbc65b7447a15c1', '3157f03f26187e7e', '20b0f500cd4d194c', '0f508c88592db2c2', '7022414e18445c17', 'ff133f07dd0f56e6', '177febf140d5e51d', '67e551f7010bbc58', '84e0a57f0cbe34e9', 'dafd793d52245959', 'abdf580d488c0193', 'd0a2248b0823efa1', '6dc9af195dcf0f4b', 'fa88f170831e7ec4']; context = [[72, 148], [171, 222], [36, 125], [40, 120], [2, 80], [141, 213], [150, 205], [1, 73], [107, 158], [13, 82], [17, 105], [7, 56], [3, 88], [0, 76], [22, 85], [13, 72]]; loss = 0.009705 low_pass_filter = 0.300
+Epoch 0: | | 43399/? [8:11:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 43400; scene = ['5fec93795636099b', '8dfbc2d0cab1db89', 'c2e9139a0b8292bf', 'b9c46af1909b96a1', '879027574cfa080a', 'f7ce09fbe4576358', '8f9b2fc1d42464eb', '3f7f202a7d0b61fd', 'c38d6a55cd1b57e0', '03f2504123909705', '43bf5c9853912e6d', '246ea07f84d23963', '37bc704ab2d09963', 'a77791451d3b6b29', '682ad474d6d76c69', 'f61787a6705d3600']; context = [[81, 133], [1, 68], [10, 64], [2, 69], [15, 91], [10, 98], [158, 235], [6, 93], [30, 110], [1, 54], [15, 72], [2, 86], [76, 145], [0, 49], [22, 96], [61, 139]]; loss = 0.010729 low_pass_filter = 0.300
+Epoch 0: | | 43409/? [8:11:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 43410; scene = ['e38f15b65f706f6d', '5d049f982d5d8d7d', '130d57f1824c8064', 'cf5a161998d0582a', '25ac9afd10569fe4', 'ca1d592f88d47c36', '2521e8a729b9a28c', 'a5e4dcdb5acba475', 'd13522abd38eddfe', '4d27fb96530fe02b', '30952e0d21bf56ca', '7f0ef9f7cc5983f8', 'baf76f04fa2aad10', '4b5883872c9b860c', 'b07961433f13f70e', 'd3136cedcdc0fc89']; context = [[63, 117], [6, 72], [58, 103], [9, 90], [81, 142], [62, 115], [79, 125], [1, 50], [57, 112], [0, 76], [8, 60], [89, 179], [1, 48], [8, 75], [20, 75], [10, 56]]; loss = 0.012035 low_pass_filter = 0.300
+Epoch 0: | | 43419/? [8:11:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 43420; scene = ['88e6344986a03450', 'ec736f79975228d9', '41604fbf6dacd451', 'd9d98cda23d10c9b', 'f0a566ed68e65b62', 'f0d33a2db693635a', 'd58001b541d912dc', '84527525b4595fb5', '6dee6f17569583fc', '6b8bf7759c041d98', '3233932b0505b21d', '1ad7adae6a042ce1', '45ec2121ecfbcaea', '3151e48717cc2a77', '4739fc5ed7553f10', '5893ecb5ca418955']; context = [[13, 77], [17, 79], [4, 68], [85, 145], [91, 154], [2, 48], [125, 210], [18, 87], [17, 106], [40, 130], [12, 91], [3, 79], [97, 178], [15, 63], [0, 65], [21, 68]]; loss = 0.011594 low_pass_filter = 0.300
+Epoch 0: | | 43429/? [8:11:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 43430; scene = ['03c56cb029f69054', 'e63caff82406317d', '08f55e581d3ff038', 'e60d3c2cbe8722dd', 'f585524ad6786b54', 'bb871f57112086a2', '4b641eaaec862d77', '8722a564706e204b', '71911b4af12b9a16', '305999e29713a998', 'd98e4f128e4fcce0', 'fee2852411318e54', '0fca31f2dbbd79b5', '70a343bffc90f4aa', 'af478ab012dfb92e', '68a4606ce0150ce6']; context = [[2, 68], [1, 75], [26, 71], [0, 74], [11, 78], [22, 69], [7, 84], [58, 116], [51, 106], [90, 159], [106, 177], [3, 54], [5, 61], [0, 72], [6, 83], [92, 151]]; loss = 0.083742 low_pass_filter = 0.300
+Epoch 0: | | 43439/? [8:11:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 43440; scene = ['9c6ef1e78270e053', '868bba780260c9d8', '81eb6c7798c391a1', '276a13f09ec9a0dc', '38d897635c61c8c9', '88d8e90884122b24', 'e083b64b420a7c1c', '811030cf843d51aa', '50e795080ac74ba6', 'b8099dd0779f2b1a', 'bbacf37a3de9fe50', 'c2cb552464e430ab', '2ac2be72df08b59f', 'e152f1023f62baee', '72cc5bfd4015cd03', 'db554baaea71b956']; context = [[24, 87], [2, 88], [2, 60], [27, 114], [6, 56], [112, 175], [31, 83], [0, 46], [7, 61], [176, 243], [139, 186], [7, 72], [109, 194], [209, 254], [105, 159], [7, 73]]; loss = 0.012732 low_pass_filter = 0.300
+Epoch 0: | | 43449/? [8:11:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 43450; scene = ['65459c55dbe18f31', 'f0b4753901c7d813', '9d0585ff11d30bad', 'b31f454ee7112d4a', '68fecf971a65aad3', 'b7ff4b6877dab8e0', 'ba76b759b2227043', '7fbf45d2a2e14a82', '0229f60ec409f031', '9f0556e88970a060', '165dee80c83d99d8', 'cb4bc53086c6bc97', '1de01a17409a9796', '0d584ee47b1581b3', '6ba0ee10f98864e3', 'dc49dc3addb7cae7']; context = [[11, 56], [5, 84], [50, 104], [4, 62], [135, 215], [47, 131], [28, 112], [42, 131], [69, 114], [8, 61], [1, 47], [10, 75], [2, 68], [19, 67], [71, 117], [17, 67]]; loss = 0.010280 low_pass_filter = 0.300
+Epoch 0: | | 43459/? [8:12:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 43460; scene = ['7a3ec171d986c227', '94451d81f8e139cb', '35502d38021916e4', '31eb8ff621bb7ced', 'a0576d283ff000d3', '0a6bb5a921dbfc12', '3338a85eb3222a45', 'e1049fac3065b063', 'f83a72a27b18dc03', 'f0b547776a72c454', '8326d223160e7289', 'b932fc784f7f24d8', '3d0bbce736659b1e', '42ea0dcb2096483b', '5838c99eb85b98be', 'e2eafa0d01a6337f']; context = [[226, 273], [3, 60], [5, 83], [5, 94], [32, 99], [75, 149], [4, 65], [13, 69], [68, 145], [11, 62], [57, 130], [12, 84], [20, 109], [13, 86], [32, 85], [96, 148]]; loss = 0.011346 low_pass_filter = 0.300
+Epoch 0: | | 43469/? [8:12:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 43470; scene = ['e799d433cc4178d0', '7b22ac58746f7338', 'e7716c6defeee60b', 'ca84c9d62c6e869e', 'c2d9626e25b514d2', 'e3a0600c1b12486e', '083f6e232345ba29', '07b91d8606616953', '360522a132341bfc', 'e160faecc21bd431', '4b57460bfcb3622c', '261bdda76d7124cf', 'a17ad78f3de1747f', 'ba681e5557b24568', 'e2f8593ab819939c', '6e65795a976312b7']; context = [[6, 92], [139, 208], [1, 52], [13, 68], [47, 101], [25, 81], [23, 73], [0, 55], [46, 113], [20, 68], [118, 166], [21, 92], [1, 54], [0, 48], [12, 59], [57, 134]]; loss = 0.008680 low_pass_filter = 0.300
+Epoch 0: | | 43479/? [8:12:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 43480; scene = ['743f59daaa367122', 'd6d380b648e2f715', '7966f2fbfe2a46c1', 'e1806b98f300f74e', '5f048697cb6f2e36', 'b51e95c335480257', '0c0690ed224753ad', 'd976195703e97159', '8b29ede9a92d3183', '2d746af0682cba3a', 'bf5905b88057d933', '970c3203b15e3aa0', '64ffda972d8fa3a3', '5c521539a781d58e', 'ca21a226fed668c0', 'b6e343e58476e518']; context = [[2, 57], [8, 62], [6, 95], [35, 111], [2, 49], [98, 182], [7, 76], [30, 105], [73, 131], [12, 81], [11, 67], [84, 161], [16, 79], [0, 58], [211, 263], [69, 132]]; loss = 0.008861 low_pass_filter = 0.300
+Epoch 0: | | 43489/? [8:12:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 43490; scene = ['d09259776759df85', '0de4e1d6b188215d', '5f70f2502a815d4e', 'd1e50d929cd1012c', '7f8c7f2304741f81', '9da451a141c4e753', 'e72554926e7e9142', '14d9c232967d7ea5', '592d5c7edc178f8d', '912ea2f1b054ba18', 'cdd143c10eabedfa', 'e0d3ae17c83760fc', 'ff7681d30920cb92', 'b2310b9c0e90ad05', '35f011e6c35d0aa1', 'c35c2e2d9c219eac']; context = [[0, 74], [3, 51], [8, 66], [87, 164], [0, 56], [115, 190], [5, 65], [11, 85], [43, 116], [127, 175], [7, 68], [54, 107], [191, 251], [5, 86], [209, 272], [54, 107]]; loss = 0.008935 low_pass_filter = 0.300
+Epoch 0: | | 43499/? [8:12:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 43500; scene = ['afc970648a89e04a', '2bf30153b26e2060', '814f74b9c3c4d094', 'd729044c166a455f', '197ff5c7287f0d9b', 'b1d60da6d903d72b', '8a44e9b2b9fa4231', '045404bb5789b725', '51c54c9b7f7598c4', '17d52a5b96e9c278', '3f0671b3aab75af7', '1dcb240325fa36e7', 'b81984c3db6d299c', '67fea88caebb1c14', '702e3924eb797e62', '16b13c6c0948d0bc']; context = [[59, 105], [63, 132], [26, 71], [41, 114], [137, 186], [0, 46], [5, 52], [29, 89], [7, 81], [14, 79], [19, 69], [168, 238], [121, 171], [145, 190], [121, 186], [152, 205]]; loss = 0.010668 low_pass_filter = 0.300
+Epoch 0: | | 43509/? [8:12:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 43510; scene = ['3161bb9aafb4cd71', '8234b72a07732ef9', 'c7da415dc7750495', '14b3067edde30f05', '5bfe0cc76a6cb010', '26545139203aa7cf', 'aba410d7c6252b5d', '54dcba84c9970357', '3249184c77ec280c', 'afb87f77f9bef824', '22d1422ff4247b34', 'd6ae7df1d2f33c9e', 'a93cf5afa5172f2d', '701e1e67ce9a49ec', 'dcd5b87a61298893', 'de03eb2fb73856a2']; context = [[86, 164], [5, 56], [0, 71], [6, 86], [215, 262], [54, 130], [5, 61], [2, 59], [1, 86], [4, 77], [92, 165], [46, 101], [1, 69], [0, 80], [94, 152], [1, 74]]; loss = 0.009182 low_pass_filter = 0.300
+Epoch 0: | | 43519/? [8:12:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 43520; scene = ['c0d7c010544c5256', '0b9517e1c9fa61dd', '85719f352ee0c48f', 'd244e00302839aa1', 'd8fa74c9de7810d9', 'bf19e55e5dbb42fa', '3c2046c344fb8daa', '523c8d9edc5b09cd', '0f8bf49cb1f8fe83', '866936c75c96b8a6', '342ecb05b0677ed3', '69ed0049628008a8', '1213705aaba383fe', 'a13162d1f72e42b5', '353c4cf99acd87de', '65eef4383bdfe37d']; context = [[35, 85], [0, 89], [33, 84], [41, 89], [5, 67], [19, 104], [0, 69], [11, 73], [21, 94], [113, 168], [113, 202], [23, 98], [4, 56], [171, 236], [34, 89], [2, 78]]; loss = 0.010106 low_pass_filter = 0.300
+Epoch 0: | | 43529/? [8:12:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 43530; scene = ['e18498aa8bfb9107', '3e4fcb14d2d9d2eb', 'e37efbb1b4d81746', '81688fb42ac1f08f', '7d0e0b6733c4c54f', '0a79600d44d37d64', 'a99b619863a4760c', '4c4199f1af91eca1', 'f09b2a3782ff7908', '46fce6b33c1b6c95', 'd8fc4c664a4adc05', '2511f006daa658a5', '8d303400f56c8600', '19157bb6d9d87bb1', '86dee38a2f104083', 'c6d8b4ad1f0a29d1']; context = [[98, 167], [17, 62], [10, 55], [4, 53], [1, 72], [8, 93], [22, 88], [89, 161], [49, 108], [1, 61], [167, 222], [12, 84], [28, 83], [0, 69], [59, 104], [14, 68]]; loss = 0.008804 low_pass_filter = 0.300
+Epoch 0: | | 43539/? [8:12:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 43540; scene = ['6de4cba695a484fa', 'ac379082a6cc5a82', 'f0af9a1645fffb8e', '87b388b4e4a77b3d', 'c7b8de10ce8003bb', '1ddfbeb2b016dfd9', '43fcf5cea7f176bb', '3551ff5b8a497fb7', 'bd24867c60c345b2', 'da158c0720b75e35', 'a30f898a6e455745', '2d350d7b093abcff', 'd4f5fdc1d8338a47', '09ca33ec20aab149', '871cf978eabbd334', '75933e11d3115802']; context = [[27, 117], [19, 101], [201, 261], [2, 70], [49, 117], [52, 129], [95, 147], [9, 79], [45, 129], [95, 160], [14, 60], [111, 181], [5, 63], [29, 81], [110, 189], [3, 48]]; loss = 0.011229 low_pass_filter = 0.300
+Epoch 0: | | 43549/? [8:13:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 43550; scene = ['12a02be37a8072ca', 'c73272627b13a495', '270644731647fb92', 'c5c0ca1ed57d6f0d', 'e9554c14b787529e', '9af2ad7f7fe8589d', '4ed59f0ee55f249b', '08f243f58cbe5d22', 'ff66bd5382658cec', '9a5f479770765282', 'c338b5625ab72dde', 'e8d6100917c31f4c', '004afb07c2352370', '7ef4711d7e459ac9', '61049a4bf21ec488', 'cfe1cb5b29829f61']; context = [[1, 65], [34, 92], [102, 169], [5, 81], [0, 62], [4, 80], [4, 94], [9, 86], [143, 197], [106, 187], [150, 231], [1, 46], [31, 103], [43, 104], [1, 87], [190, 246]]; loss = 0.009801 low_pass_filter = 0.300
+Epoch 0: | | 43559/? [8:13:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 43560; scene = ['c19be054a8a456f5', '91effcea642ad897', '07891f56f57ac39d', 'ef380960d4d8a206', '93f64e2b3f286f45', '3ec462170f378b3f', '9bb2a6670058b7b2', '615d5da2368e312c', 'c544ed479973807f', '5a661bc2c6c62f59', '10ad454e47dbe812', '842b0f18727a87f6', '06217ded6da8f724', '38da907dd45ba2d9', '76e579e0db484aeb', '5f1f6f96424e0013']; context = [[13, 100], [2, 60], [42, 88], [14, 95], [15, 103], [0, 65], [2, 63], [29, 88], [7, 93], [106, 188], [7, 92], [3, 71], [9, 90], [14, 84], [37, 100], [9, 86]]; loss = 0.011915 low_pass_filter = 0.300
+Epoch 0: | | 43569/? [8:13:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 43570; scene = ['c99ab9b0911f0d72', 'f824e9aae22d0369', '2352dce87a236495', 'd05469e324c0bc42', '5c88ff05f51279a4', '4f768e705a9c812b', '0b95756523e57ef9', '7788c075e21e862d', '3fec42c6570a70d0', '437b5b7a2fe26b67', 'ef788a2216895f19', '1fef55c7753f1cce', '90d70bc4c159efe2', 'de665a63685bdac5', '817e228e9c74d745', '230dcd170cc900ae']; context = [[202, 265], [36, 110], [3, 59], [18, 63], [3, 60], [0, 63], [1, 66], [29, 80], [29, 80], [4, 61], [9, 99], [121, 190], [2, 48], [101, 165], [4, 61], [190, 249]]; loss = 0.011896 low_pass_filter = 0.300
+Epoch 0: | | 43579/? [8:13:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 43580; scene = ['f28bc7d364b2b918', '8bdc52505292467c', '70c83167c3a77dbb', '1b0653fc20ad6603', 'd28a1d795b4321d9', 'dabeae3f355c2ab7', '88016b1328f0b76b', '069b5823b0eb4d84', '29dfe9e623ddcafb', '5cb6a4466d5f4f53', '38d2ac7c43dd0eb8', '23683c24eb019816', '94a0618ce03ee661', 'e7aa969073578104', '564ea16244f45dd8', 'eb9a6eb40e64e0c2']; context = [[9, 56], [51, 110], [4, 50], [7, 91], [73, 140], [1, 64], [8, 97], [16, 64], [16, 71], [15, 60], [210, 257], [3, 82], [5, 69], [133, 218], [43, 97], [35, 105]]; loss = 0.010845 low_pass_filter = 0.300
+Epoch 0: | | 43589/? [8:13:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 43590; scene = ['67f6ef3eade2587f', 'e30a5600e3a94534', 'b0549364f20ec720', '6b05bed19f518aba', '1cca22feb5458699', 'cc0548ecda611e25', '6b618bf721772750', '53d5559c250a0f44', '1b4bf9a4a458e0df', '71f47ad340f36a00', '9810e48786be9e3d', 'a6161601e3a76aa9', '496e2618d0fb9556', '8213e7f3f5d265bc', 'b9e8ae6d34748bc1', 'caee640343f2dc58']; context = [[11, 87], [165, 226], [6, 58], [10, 87], [6, 93], [0, 48], [100, 181], [3, 84], [35, 105], [73, 138], [4, 70], [9, 55], [22, 112], [15, 63], [29, 90], [85, 153]]; loss = 0.010481 low_pass_filter = 0.300
+Epoch 0: | | 43599/? [8:13:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 43600; scene = ['1451955eb30abd6b', '670b9bea39ffbfe5', '182ddf7fbc64272f', '50c989c75b0f7157', 'b5b7cf0397d7198f', '2cb5509fb3497624', 'a92466ec8346b8e2', '6f18dd963f7b02bc', 'a0860cfc351a422a', '5b10dfb58100f4b2', '6331f61b2b475c41', '3cb0a62af12e4bfe', 'ca1b81698f4a3f71', 'c474b284195b708c', '43728f475156cab6', 'c76a27069c3da62b']; context = [[2, 48], [50, 114], [14, 98], [21, 71], [6, 58], [9, 55], [5, 90], [7, 72], [4, 68], [82, 160], [11, 77], [32, 114], [8, 89], [206, 253], [3, 86], [16, 63]]; loss = 0.008945 low_pass_filter = 0.300
+Epoch 0: | | 43609/? [8:13:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 43610; scene = ['8732aa2851a261d8', '10ef289b28ab324e', 'a461535bfb517f1d', '44edfcf8db1e6c1f', 'e3a011e739647f75', '7000f7a820b20f68', '78ddb18e77a98079', '91d495bf87c49477', '0e916e63743f841b', '7b70cc2310d009ad', 'cad89df12fc146e9', '9d5c79ae97b12abf', '36bf8b485c1284dd', '997780a3a81f3c78', '0b7a5b3706827cca', 'e937f0b04a960552']; context = [[26, 75], [3, 53], [35, 91], [122, 182], [3, 51], [0, 57], [29, 96], [17, 73], [66, 132], [24, 109], [86, 162], [6, 60], [21, 78], [10, 82], [3, 51], [51, 107]]; loss = 0.010646 low_pass_filter = 0.300
+Epoch 0: | | 43619/? [8:13:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 43620; scene = ['3d74489372089c48', '0071f6d0b342c75f', '7dc2da97423f053d', '9f0cb34a36fc4260', 'e280e5d4cd514531', '58adcbde01e5c437', '435fe174264697a6', '52914ada3d21bb9a', '211ba20868a52208', 'dd9bed08c152554c', 'a6ac9a6cc22cef98', 'bffbd3c67735eeef', '7125ae35464adb5a', '81df966eea295ac0', '5dee435a268fbf38', '5aaf9100d34579e6']; context = [[1, 49], [39, 92], [22, 95], [48, 122], [41, 95], [38, 112], [1, 62], [67, 131], [32, 77], [0, 66], [188, 238], [2, 77], [0, 65], [85, 135], [82, 145], [6, 72]]; loss = 0.012198 low_pass_filter = 0.300
+Epoch 0: | | 43629/? [8:13:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 43630; scene = ['c94656969b93803d', '43925e6d705283fa', 'fad5e0b62e2676e2', 'e21bfc7e213dbea8', 'fc4b516757033798', 'a05682e197d30ff6', '68eceba1820a202c', 'f3ce699cb1820363', '845470a7c2434585', '1d8d19fdd5912312', '686ad3f8a986c1d1', '47978344bbc75de5', 'd5520fef0acc013d', 'fa49b8a4ce355d53', '562bb0d240bb37ff', '9d81ebc13f6a11ca']; context = [[107, 161], [13, 64], [15, 75], [15, 75], [47, 127], [70, 139], [0, 46], [7, 54], [48, 125], [24, 97], [2, 74], [0, 82], [6, 69], [23, 76], [5, 85], [6, 59]]; loss = 0.011602 low_pass_filter = 0.300
+Epoch 0: | | 43639/? [8:14:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 43640; scene = ['2c7dc741d1a225fc', '8cc2ddc5371a5549', '1b0911eb8147f74b', 'ecfc865925d2cb8f', '0c2b1cb610e4f21d', '60ebe67fcdbb0767', 'c0fa0cb15499fc43', '0e5f43adc84b0435', 'ea7dcd064894c677', '5e64c580f02995fe', 'dd63342a63be7453', 'd61163a950567fe9', 'db683f6705440884', '7fdf985ba46e978d', 'a525d5304ac3a76c', '76810a4a9a8a5881']; context = [[10, 75], [0, 45], [111, 163], [23, 81], [61, 146], [14, 91], [118, 164], [15, 62], [50, 102], [6, 63], [10, 78], [34, 96], [44, 101], [44, 99], [40, 110], [67, 152]]; loss = 0.009801 low_pass_filter = 0.300
+Epoch 0: | | 43649/? [8:14:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 43650; scene = ['c56ba8717d50a07f', '6910b34e5b91b5f9', '5fbf56ed209c709c', '4592370201894fe7', 'd386559a465dea9c', '1668fcfb8bedeccb', '21ab0d9d871753dc', 'e36b193b3e2dd16d', '275471aa95675b7a', '0314dd90dba7025d', '746f958167248c47', '023e2a0f45dc49e0', '3199035cc6dd56bc', '27e6dbcd1a32e569', '31d2fb92e2a0ca93', '0f8c770f3a37cacf']; context = [[97, 160], [110, 177], [9, 54], [0, 86], [143, 200], [3, 77], [21, 81], [15, 90], [18, 90], [10, 66], [173, 248], [16, 84], [8, 62], [16, 81], [7, 57], [9, 78]]; loss = 0.010520 low_pass_filter = 0.300
+Epoch 0: | | 43659/? [8:14:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 43660; scene = ['d3b901b44e7ddb4e', 'e338ac884c0b91fc', '7bcf0c3f0048c85a', '41e6df4d8033c126', '50f889dd14dfe91a', '32ee1cb2b3b67020', '679f702bf4343e29', 'ca87754159d3beaa', '8fe5585de32fdc87', '0856c1946c2ba29f', '669fcd58e1060f18', '9adb745c741c85e0', '482411a57b1a83f0', '255998558abc7172', '8194a8208ffbdeb0', '2bf2d66d87db5178']; context = [[18, 66], [1, 62], [3, 55], [2, 80], [66, 118], [31, 85], [3, 49], [3, 58], [46, 100], [210, 264], [37, 90], [9, 85], [12, 83], [14, 72], [11, 71], [41, 116]]; loss = 0.007177 low_pass_filter = 0.300
+Epoch 0: | | 43669/? [8:14:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 43670; scene = ['547ec2a373bca762', 'aacccbcbc0722240', 'e1d6178ea1fe6d44', '1b98355278b3ca52', 'eb61796d301ac994', 'c62b839c1b99274d', '1c697e1b376ee31e', '98b8e9f58887b2c8', '2e9fd009632a1bf5', '28bb7b161e83ed60', '1008647325f7f5b5', '4fce6c47c4c214d6', '1213665a8be72518', 'f646551e454cd501', '35e07043b9b3eb19', '73afe9702215dae0']; context = [[69, 151], [37, 111], [19, 65], [2, 47], [142, 196], [21, 99], [0, 82], [7, 91], [22, 81], [64, 120], [7, 64], [126, 181], [8, 70], [3, 79], [11, 57], [122, 208]]; loss = 0.008467 low_pass_filter = 0.300
+Epoch 0: | | 43679/? [8:14:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 43680; scene = ['aa65023359f54a83', 'c37b7e0185f4f065', '3664b674b6366549', '176c4f096dad0005', '54d0b9c20694ae47', 'e82133b7484e9dee', 'b18ea5dbd9802931', 'e8ab766619331d3b', 'bf4ba2808af7f8bb', '9dff9a317da1d49d', 'b4764c8fc2de0f78', '238dd75b20662b2e', '23ac87fd90e9a51a', '4d81a0166c5d3af3', '1781ab25cd748560', 'e0ee3878561a5fed']; context = [[8, 81], [5, 74], [109, 196], [15, 92], [32, 92], [18, 85], [19, 94], [17, 64], [5, 52], [14, 93], [31, 116], [69, 143], [39, 118], [7, 82], [74, 158], [7, 58]]; loss = 0.010399 low_pass_filter = 0.300
+Epoch 0: | | 43689/? [8:14:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 43690; scene = ['502519632955b9e1', '2cfb834d3733175e', '464facd721dc4fe8', '28b6ee285fe5fdae', '1ef7fa7b1cbca618', '261b7dbafe6a1b4c', 'fdc65f83713e9732', '205de76eec36ffca', '1230e8cc8a954348', '71ab9816948406c2', '23fc08656463d908', 'b5873dbb69f9b7b6', '8d2d04ce88052af6', '2b474d3143080014', '9e71920e58bf6a02', '7717f516bd67937e']; context = [[0, 45], [14, 62], [8, 95], [1, 50], [2, 61], [11, 74], [3, 65], [10, 84], [4, 54], [33, 90], [4, 84], [3, 51], [0, 83], [0, 67], [1, 46], [123, 174]]; loss = 0.010958 low_pass_filter = 0.300
+Epoch 0: | | 43699/? [8:14:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 43700; scene = ['161dc6059be03815', '975f394a6466a6c5', '53cd66c354d3103e', '3f02a2b8e8bd175b', '2a7c6acafe4422b4', 'e80c8f4178439905', 'cb0ed625413a2cc6', '665c734dedef60ee', '41ff70cc3fc8a332', '04ee6d9daa244889', '53cf0ccf9f3cd287', '7c70fa6ac7c7e2f0', '4d5fe5ad660cee05', 'f953c1d204bd8b12', '1bb131cb68bb3060', '653bb70e9b1ee3c8']; context = [[26, 88], [96, 147], [65, 124], [17, 65], [89, 176], [14, 104], [101, 146], [92, 139], [19, 90], [43, 94], [1, 62], [33, 88], [169, 222], [148, 218], [58, 111], [167, 212]]; loss = 0.008892 low_pass_filter = 0.300
+Epoch 0: | | 43709/? [8:14:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 43710; scene = ['5e7040c6384bdda7', '3fd549f7eef1c12b', '6d859b79756cb35e', '89dc50dc9a4e15bd', '5f6769e58c33cf0b', '6203ec07eb54ea40', 'a3d4680cd9ad864c', '427e644c4721cedd', '17515d51eaafdd2c', '694c8dd760733383', '8173cf0ad3386d55', '24f7200ced74c4d3', 'e1843a68dc42dff5', '9258ddec553eebc1', '8592ba43aefb06d9', '199a9ef5a23a3db9']; context = [[8, 89], [16, 63], [36, 118], [1, 81], [40, 109], [0, 60], [4, 65], [148, 221], [22, 67], [75, 135], [7, 54], [35, 110], [13, 72], [57, 133], [0, 45], [69, 134]]; loss = 0.010043 low_pass_filter = 0.300
+Epoch 0: | | 43719/? [8:14:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 43720; scene = ['4740cf208d28502f', '7b84e647a32a4bb6', 'e4e6feba6ad8534e', 'aaee1476b3b12793', 'e78b09abb4df5292', '63cb8090d7354764', '0dd520d7c9ae1242', 'd106596b3233f3c1', 'a87240a7ca4f7f33', '9c8bf927b0761f2d', '75b4cd7d12657847', '5b84e5a4b0848d8c', '7141d6c75e602276', '00a5a09a0c68b59b', '276ae8f6b469f3b3', 'c19e649653890e39']; context = [[5, 53], [28, 114], [13, 86], [4, 75], [208, 264], [66, 135], [65, 111], [2, 90], [39, 102], [8, 53], [2, 68], [19, 98], [6, 75], [8, 78], [121, 195], [0, 70]]; loss = 0.009636 low_pass_filter = 0.300
+Epoch 0: | | 43729/? [8:15:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 43730; scene = ['2b83ce9b23c5ab7d', '3ba79e4a3499b7bc', '2bf30153b26e2060', 'afc970648a89e04a', 'd729044c166a455f', 'bf37ac6cc15e90c4', '0a609dca037e83a9', '814f74b9c3c4d094', 'eda299b8ec5d56ff', '5a040cbc8d351ff7', '84cede8286dcf69b', 'a90eab41dddde44e', '631f19075ce636aa', '0fbbfe4c8f90f581', 'f7eaf62d4f3c6114', 'cda05cdb67698027']; context = [[21, 80], [23, 90], [120, 179], [36, 111], [67, 125], [72, 134], [21, 75], [9, 76], [57, 130], [92, 147], [16, 66], [141, 206], [16, 82], [45, 102], [13, 79], [44, 91]]; loss = 0.008881 low_pass_filter = 0.300
+Epoch 0: | | 43739/? [8:15:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 43740; scene = ['f3133558a4b75863', '6a522c0ce8243b77', '2d0eb0ce335b6dcc', '3fea0ece6c118fc8', '2abea165b6c845b2', 'ef022a0071e11efd', '2cf82f9ef86a8409', '207111788cb523c5', '4c4f6d8995e72f4f', 'cfcad25f2356c640', 'bcb8a096f875ed4a', '3f5c91c54d97b80f', 'a86d099ad374ec59', '10ad97617138c17c', '3b4d02e2e3dcfe71', 'af4b799f345044ca']; context = [[5, 83], [39, 111], [98, 148], [16, 84], [88, 138], [0, 76], [9, 83], [113, 162], [4, 84], [24, 91], [144, 215], [41, 110], [10, 94], [84, 168], [27, 97], [89, 148]]; loss = 0.009710 low_pass_filter = 0.300
+Epoch 0: | | 43749/? [8:15:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 43750; scene = ['fc96fc284fcbac43', '3b6a58f5e0a29f56', '194dfaa589c9981d', '44020f34ef2803bf', '9508bbadb133599f', '07c6818a3a353dd8', 'bc3e84661532f610', '76e3767736ea1fcb', 'dfce5eefef18f037', '0a8e2e73b0a0ddeb', '893631aa1120f800', '8a18a357d2f58181', '7a3c692a84dcff3b', '6903e917c5bf1c37', '7a91beed3bf01666', '05caea054b89afc9']; context = [[45, 97], [16, 82], [5, 67], [16, 61], [0, 90], [85, 175], [12, 73], [12, 63], [36, 102], [130, 198], [0, 60], [33, 91], [41, 100], [4, 76], [22, 70], [76, 153]]; loss = 0.012411 low_pass_filter = 0.300
+Epoch 0: | | 43759/? [8:15:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 43760; scene = ['7a26af750ba9ab8e', 'bf41c96f62d20703', '0f9430e46f8d31ee', '4fb40dc3a4716a0a', '9b26bb403d1d515e', '1683c797f3feac29', '1181acbb2ab18e64', '9ebc32522a5d6bfe', '88b54484f742e069', '47a1772c9348c0be', 'fa3d7ea00b62e8da', 'c34efa1505a0cfaa', '666e4a9aba27bb64', '3c731be7ff0e9a73', 'de04b38c9180ede5', 'f8b0f3569f34e541']; context = [[3, 50], [33, 109], [27, 72], [50, 127], [59, 107], [41, 112], [13, 102], [37, 98], [17, 66], [193, 257], [7, 96], [25, 111], [37, 96], [0, 45], [3, 70], [81, 149]]; loss = 0.009821 low_pass_filter = 0.300
+Epoch 0: | | 43769/? [8:15:32<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 43770; scene = ['1bf242853e2b9c54', '54c3ef2cb5c61855', 'f42eeca464640993', '1c9d768cb2dd54fe', 'a8da855d8a0a54da', '53a5d71340f06126', '39ebe42b7b1a17d7', '923d2553d35a6d22', 'd58c3ce53706c521', '8c29c2bae7754007', '39c89a5b2c926b11', '9622073e7a1bc4af', 'f619df7981671fba', '0bcc513ee33098c7', 'ab1ecd0675e6d324', '8f57b97683e367c2']; context = [[23, 92], [0, 77], [2, 55], [151, 209], [0, 85], [12, 65], [11, 77], [150, 207], [105, 169], [90, 174], [5, 70], [28, 114], [176, 239], [45, 95], [126, 178], [55, 123]]; loss = 0.012412 low_pass_filter = 0.300
+Epoch 0: | | 43779/? [8:15:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 43780; scene = ['a55c5825e25b380a', '8be4cc3c5d1ecc42', '706210d8cd04e8f5', '8e918671173842e9', '51996d52eea809c9', '8c4959742a47d9a1', 'd4c4178391fa64a8', 'c174fb69aa81e519', '1268b7774e3d93e5', '559322faba1bc893', '4b34e4a22e4a08ab', '9b71031c032f03a7', 'e509e98f232c4833', '903efe5f8a8e932b', '84b2e0a015504fbc', '3af52105acc793ba']; context = [[61, 144], [14, 94], [20, 84], [37, 114], [31, 93], [32, 89], [65, 148], [75, 138], [101, 167], [5, 92], [54, 103], [33, 87], [2, 73], [21, 96], [3, 80], [15, 74]]; loss = 0.009480 low_pass_filter = 0.300
+Epoch 0: | | 43789/? [8:15:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 43790; scene = ['3efcf64764442ba9', 'c79eade117f25328', '4530113d1d7f71db', '015be5260cee24a6', '9ec8836d9eba792e', '43efc8210bf1153e', 'b62d5f970d1517b6', '679df10aebc2c454', '5201b074adcc1957', 'c59770fe087d28fa', '6a211ff7d9fd2195', '911d68b78781f3a9', 'ec740dac79f473bd', '15d9bd9bab5b7d79', 'faf7b50488fc7fc2', '57824fb51ef03b36']; context = [[68, 142], [1, 75], [10, 63], [24, 76], [87, 170], [13, 80], [9, 82], [12, 77], [29, 115], [112, 198], [33, 112], [209, 265], [10, 96], [32, 108], [7, 56], [22, 111]]; loss = 0.013554 low_pass_filter = 0.300
+Epoch 0: | | 43799/? [8:15:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 43800; scene = ['11e2d9eec65ec014', '0666c63c6c8d6a9b', 'bce06efba2b1d37c', '019a00cb0729daa0', '590a96bdce2b6f66', '518b7ff041c71f35', '6f1508676b76c4f7', '1f0308acd5b5aed7', '49f52e9a0e83383a', 'e2633bd88045350a', '8a992755a8cf4051', '529e2387fa3fb753', 'f99aafb53f76f519', 'b0d028f08185a675', '7addead467bf9cde', 'ebb7dc16b320e609']; context = [[3, 73], [5, 73], [13, 90], [7, 89], [7, 67], [1, 66], [7, 85], [10, 61], [6, 52], [171, 221], [71, 148], [5, 51], [32, 102], [15, 91], [0, 45], [15, 66]]; loss = 0.010899 low_pass_filter = 0.300
+Epoch 0: | | 43809/? [8:15:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 43810; scene = ['f0b6b68c348bd47a', '6af72be1c13d95b1', 'e1b796da6f1eab63', 'fb8cc6461d197be8', '9973aed2c5833126', '2256f50a6dc095c7', '93ef2f0bd081e8eb', '17b586b2d92e9309', '27aaacb0d6f48092', '96c1b25253005816', 'e592493d5b6b248c', '4d61b9ff898c7e7f', '4ac29acceb412343', '130130a2cc332ef5', '270bc5262172dcde', '7a20ba81fb778529']; context = [[21, 70], [2, 48], [27, 80], [0, 78], [26, 94], [132, 190], [36, 99], [4, 49], [0, 61], [40, 110], [83, 134], [61, 115], [2, 50], [51, 140], [5, 79], [12, 92]]; loss = 0.012106 low_pass_filter = 0.300
+Epoch 0: | | 43819/? [8:16:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 43820; scene = ['ac1697324e3cba79', 'b9e9d2a463c7f840', '29a03a5b3c855640', '23a769da90ee8db0', '2e91aadb02e1e9ff', 'c6bae18b8a3f0bde', '471c50420c5d1da8', '432438cda3cad918', '170456ba78e63309', '919b825107501549', 'c0ab06325cbbce44', '1e1d817c3a82c777', '7926c7ba6cf278cc', '5afb45fc7fd3c865', 'b312f660891eff99', '2713e0ee94fa2fd5']; context = [[52, 103], [9, 59], [0, 90], [32, 115], [0, 82], [3, 77], [0, 79], [160, 249], [24, 114], [16, 78], [26, 80], [30, 108], [90, 163], [17, 79], [15, 77], [24, 69]]; loss = 0.013040 low_pass_filter = 0.300
+Epoch 0: | | 43829/? [8:16:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 43830; scene = ['feb7ab18757d5604', '7170cb4f9883b731', '6d577a0d16ed5351', '381ce8c714eb685d', '75f5ccbcdd3d0b58', 'aa8f687d18dd812c', '87496b4445d7539e', 'bbd98017a5638045', 'ce8fd4b7efd2db89', '766faacf860da300', '199cc9cb91da9015', '353cdac18ea04920', '05d937301b6a15aa', '2318a23527dfff67', 'fde72c5779d294aa', '629e4849c3d26620']; context = [[146, 211], [32, 92], [5, 67], [184, 258], [24, 86], [21, 91], [16, 81], [34, 101], [50, 138], [2, 74], [34, 117], [24, 73], [85, 154], [26, 108], [141, 211], [40, 95]]; loss = 0.011834 low_pass_filter = 0.300
+Epoch 0: | | 43839/? [8:16:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 43840; scene = ['55a4f53ea11c4186', '6abf8136b97c8097', '81c30c35693d1ba1', '5bb86dc9720b2b35', '0ab1c2dc6cb280b5', '7a200b3b294ff1bb', '68bec0ed2e14240a', 'd83ab17db1e547c7', 'd6397502b68b1550', 'd6b217b97091b866', '2eb2b641fdcd0536', 'cc1e7de736af9052', 'a2602fd97782849b', '4876dfaa5980ea8d', '017c0058a6c6e645', '871ef22f5aa9b2d6']; context = [[137, 205], [14, 82], [5, 89], [1, 55], [34, 89], [69, 144], [0, 47], [0, 58], [120, 174], [30, 87], [12, 58], [7, 92], [0, 72], [100, 146], [34, 94], [2, 69]]; loss = 0.011459 low_pass_filter = 0.300
+Epoch 0: | | 43849/? [8:16:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 43850; scene = ['38da907dd45ba2d9', '76e66c14db609731', 'cce7b7b831f93fed', '842b0f18727a87f6', '76e579e0db484aeb', '06217ded6da8f724', 'f6aed65bf9ebd5a9', 'c336b74e2c877b37', 'e00923b588e1ca61', '77d1f14fbdc4c65e', 'e9bce0235b64b452', 'ebb69f1382aeeaeb', '4291eb01c594fcb2', '4760844c0baec9fb', 'c94bb2dbaa678405', '38f562fb2b2ad4e0']; context = [[18, 80], [45, 130], [132, 198], [83, 159], [50, 105], [14, 93], [44, 92], [19, 71], [83, 153], [104, 150], [147, 205], [1, 52], [5, 77], [73, 134], [29, 94], [64, 131]]; loss = 0.009649 low_pass_filter = 0.300
+Epoch 0: | | 43859/? [8:16:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 43860; scene = ['13554b69b47b0602', '3d4fa53a2c7691f7', '2cf712cd102d5977', '8df6d17e6dd57222', '10305cbdad5cb899', '177e6cbad1a5d389', '5ba98d5108e42ace', '7c664e90551fc0ec', 'd6f7c7d0d43844b5', 'cac5c47b2aa42583', '64ebbf286630bc79', 'aa537814419ecf94', 'e213c0e5f037bd5b', '8eea074fdf6f2a8b', '8b95fd46af2120e1', 'a4a01e93fcd428b0']; context = [[1, 61], [23, 101], [35, 117], [15, 91], [73, 157], [31, 113], [63, 116], [5, 56], [9, 61], [7, 88], [137, 190], [5, 76], [3, 89], [12, 95], [40, 85], [16, 64]]; loss = 0.013506 low_pass_filter = 0.300
+Epoch 0: | | 43869/? [8:16:39<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 43870; scene = ['5e9991d19e01f177', '357b0a1d803c82ff', '7a4239da3cb26acd', 'c8d989af818ed615', 'e66dfa75f4d95572', '4fc168d5b9eee7b7', 'ed701cee43a6b370', 'c199878842dfd196', 'b0a7c8eb6675bcad', 'b1f86c6a9f0a31e3', '7ec8e2c63918d288', '82e02b2137ab99c5', 'e6f6e305abdcb9b6', 'b498509fbdecdd20', '5ebe660bb6dfa7c6', '7655b21afe2bb31a']; context = [[8, 61], [4, 84], [41, 88], [1, 77], [40, 121], [1, 68], [168, 220], [31, 91], [24, 81], [42, 106], [47, 120], [110, 184], [19, 79], [0, 51], [8, 58], [3, 66]]; loss = 0.009978 low_pass_filter = 0.300
+Epoch 0: | | 43879/? [8:16:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 43880; scene = ['4c737af8dea45195', '1cf3054fc373947b', 'bb76208880c43693', '30bad8b99b0649cc', 'e3c836611ebc7912', '228e3004c9ff58ed', '7941f38ede629d40', '76f1f99b2f95a66c', 'c34254b9239f4d5f', '4cb2eaf3ea088f25', 'a2d213e90836a280', 'caca9c97d32372fe', '1134a76f064459d4', 'a341f339c80467f7', '13a12740c5d84057', 'a55a64e116b5619a']; context = [[0, 47], [8, 86], [5, 86], [0, 61], [11, 66], [52, 97], [11, 61], [0, 74], [7, 55], [91, 161], [53, 122], [145, 226], [75, 142], [21, 92], [8, 57], [15, 60]]; loss = 0.009120 low_pass_filter = 0.300
+Epoch 0: | | 43889/? [8:16:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 43890; scene = ['12e365426a204bfe', '791154aeb41aebe5', '4c500c935499b76c', '79dca8946db32bbf', '544a78b22bc4b00c', 'bb03712511acb358', 'ea1b098bc21eb64b', 'd0c12240702616a7', '9652388a27e34f6b', '43ffa708c75c05b3', '731c9ff11c178e47', 'dc48fb4d76502068', '9988a33ae078c5ab', '9a177d5e00f6c9a0', 'a48cf82be0b6c8cf', '9f557ea23b237b5d']; context = [[11, 74], [36, 81], [2, 65], [22, 92], [15, 71], [16, 96], [50, 99], [6, 83], [3, 85], [11, 81], [11, 63], [13, 66], [7, 81], [9, 56], [82, 162], [75, 129]]; loss = 0.009900 low_pass_filter = 0.300
+Epoch 0: | | 43899/? [8:16:59<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 43900; scene = ['b3bd757032c06692', '2df270a308fce16a', '59c8185edac612bd', 'e8b4e52e3f875679', 'e647d3dca9afa2d4', 'b73ca7a033be2fe5', 'e291858411a38891', '26e28d2886638bf4', '8da41667e8f33d92', '3075c400813b4fd5', 'c1227854f6f7529d', '57b04086b86e72fc', '8b5c24358ec92b0c', 'c0fe0bd487299e61', 'eefc81d648d588c6', '0df41f651f4faed6']; context = [[18, 66], [21, 84], [29, 80], [4, 79], [5, 86], [4, 92], [3, 63], [9, 62], [90, 136], [1, 51], [8, 84], [155, 208], [104, 181], [2, 71], [5, 59], [10, 71]]; loss = 0.009466 low_pass_filter = 0.300
+Epoch 0: | | 43909/? [8:17:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 43910; scene = ['07c58ec06695138f', 'da91a6fbdbaf7e7b', '71bc75d5003c5e82', '5d7b26275b9bcfaa', '694c3e22993c93ce', '2b0e8b187cf14973', '14da8693f9a9c525', 'af2e29bba8ee6e72', 'd4e12bcf9891030f', '959f1359e772c180', '83e6990375012c01', '0e0ee14ebe357bd3', '472c849ac7e496ed', '7b926542fc32c523', 'b61c891c19c16e0b', '36016ca319e926d2']; context = [[113, 180], [39, 108], [41, 131], [16, 73], [3, 93], [118, 207], [26, 112], [4, 56], [34, 83], [20, 101], [19, 105], [11, 89], [0, 58], [5, 79], [5, 52], [184, 263]]; loss = 0.009535 low_pass_filter = 0.300
+Epoch 0: | | 43919/? [8:17:13<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 43920; scene = ['803ff9a491eb2179', '472298ac40ecf118', '7b627176f81c3013', '845acd6a583ba124', '44c36113e6cea8ac', 'f676f819da67d1f7', '5da9ed6155213ba5', '3b454aef39138012', 'cc741538e7d85bb5', 'c8982ca964bb4860', 'b0f2f68540611bb8', 'e558384acd9268e8', '48366367a5fdb244', 'cc91cba26bb436a7', 'ea9df70fa4633f35', '1e342fe217cba528']; context = [[33, 121], [51, 137], [2, 75], [0, 83], [8, 64], [35, 94], [26, 112], [3, 74], [125, 182], [0, 54], [94, 149], [1, 52], [10, 79], [86, 171], [32, 106], [0, 63]]; loss = 0.013101 low_pass_filter = 0.300
+Epoch 0: | | 43929/? [8:17:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 43930; scene = ['995cf7faace19c86', '931e6b34254af15a', '8859e6515aa7ab9a', '2fcde6f2b5ac4db5', '76f02583342a49fc', 'd0c5d78a6d833bda', '1f0fa81c1fe1dc97', '8e90c763d481898b', 'ac9fb9fd9531fee4', '243c74d8df4d4d51', 'aa1df76bfa03ddab', '9c0da524dfdad630', '0b386825ee4147cd', '765564938726223e', '17534d7a8a55fd5d', '924941fefddf42cc']; context = [[109, 159], [15, 60], [6, 64], [6, 52], [99, 176], [79, 166], [6, 60], [1, 59], [32, 101], [4, 52], [7, 61], [2, 74], [1, 52], [1, 90], [41, 121], [5, 95]]; loss = 0.009869 low_pass_filter = 0.300
+Epoch 0: | | 43939/? [8:17:26<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 43940; scene = ['c0d1a0581fea22d5', 'ef4a334b0a991e22', 'fe2fce8e4eb8f882', 'e242d43a1ef0a6eb', 'f720437b9f3f2185', 'ad7d01ce66eaa31d', '5b4e5590f2d212b0', 'd5d73e1025a23bae', 'f523413a42b1908f', '08bea3131a278709', 'cd9090984c241687', '04173b532caaf033', '89e7653cf66d64d2', '6647e84a85255c82', '4618dce02a9d0713', 'f462a4d3091e912e']; context = [[0, 45], [0, 56], [1, 47], [67, 146], [46, 95], [5, 67], [13, 64], [41, 90], [12, 64], [10, 79], [26, 112], [9, 76], [1, 64], [11, 73], [10, 81], [48, 102]]; loss = 0.008084 low_pass_filter = 0.300
+Epoch 0: | | 43949/? [8:17:33<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 43950; scene = ['985a81850d13edfd', '3888df11c21d4db5', '0b77cab786151df6', '8c662a617235e175', '42c32233f309708c', '22c651e15b5d5339', 'cd80c587743d9836', '808d34c910e9f8ff', '99a34d6492f6ccfe', '3b5ecc7fa7f0597c', 'a4919a966610cb3f', '5b01d99e513c4790', 'bc1897c83ee09425', '7f429c7dde9fedbe', 'f99af4c9518d86e7', '0a41b171a01b0296']; context = [[116, 176], [13, 80], [23, 70], [74, 129], [63, 153], [7, 81], [11, 57], [178, 239], [44, 108], [5, 51], [42, 104], [155, 200], [12, 98], [72, 146], [59, 136], [22, 76]]; loss = 0.009750 low_pass_filter = 0.300
+Epoch 0: | | 43959/? [8:17:40<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 43960; scene = ['3889e4f29991c299', '720cf6e310dbd418', 'a40274cf4468abdb', '2538837da46e96ef', 'e05be237357b2b8b', '742b3562c7150ed5', 'ebc656d976991be7', 'c69595acf57d15b3', '57ac6eb5ba79e061', '6bbf7a220517735e', '30afa4f4c8f72dd5', '9acfad92971ff3f2', '4ae9274ddd246c72', '88d97afc8d56bcec', '2b1474ef6b7f54c1', '3e728ab85f6d379a']; context = [[7, 62], [40, 101], [16, 84], [77, 142], [229, 278], [6, 85], [8, 86], [102, 185], [1, 69], [7, 60], [44, 104], [46, 91], [21, 70], [29, 94], [5, 89], [82, 156]]; loss = 0.008563 low_pass_filter = 0.300
+Epoch 0: | | 43969/? [8:17:46<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 43970; scene = ['fc6915f078c99c53', 'cfb684150c0d3084', '2b1283adc29ea556', '75bde416bf2a70e9', '2958d238e5aa242d', 'c4064076b7e5e42b', '93d5594a00802532', '32047e8d7765b533', '80d4314fc20d694f', '8a357be8b7d049e1', '2395ecfa5327b13a', 'a3687e6319f47730', '394c8eae897600b0', '4fcec6671d77987c', '3f53a38d77a20a18', '95cc4a86e6e8e823']; context = [[2, 54], [77, 152], [121, 201], [92, 142], [127, 216], [1, 86], [4, 89], [6, 75], [57, 117], [9, 54], [14, 84], [16, 102], [21, 74], [151, 205], [0, 86], [71, 116]]; loss = 0.011379 low_pass_filter = 0.300
+Epoch 0: | | 43979/? [8:17:53<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 43980; scene = ['e82f58c638cf3f5e', 'e7bb9d4424f4363d', '52ff08cf915f9890', '23c52859f21f94ec', '3b5f903cdb3d9583', '4466e384294450be', '5c4f4ad90a5f0b13', '53bdfb495b390baa', 'a5d3815f564f25b1', '0c23c5d9c2010333', 'e2ab64a2bdf0d0be', '62602df4d400f42e', '593ce715d6f50efe', '48e2fd6a0d7108d4', '72a9d8a95167817d', '189c0ea685eb4a48']; context = [[7, 78], [29, 87], [15, 61], [62, 151], [82, 156], [85, 137], [4, 87], [28, 77], [82, 167], [1, 78], [42, 87], [29, 103], [59, 122], [0, 62], [14, 61], [7, 61]]; loss = 0.009897 low_pass_filter = 0.300
+Epoch 0: | | 43989/? [8:18:00<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 43990; scene = ['7032a676484c319b', '20551c90baa98c3e', '7c4718692637f698', 'ab3a4b7354892cdf', '505b52fc1cae4f44', '638e1546ab98ee4f', 'afa70997cf926e43', '72cf3b053c899211', '3384e2413c4d783d', 'b081e8a9954f4a7c', '0e98d5c73109d26a', '798a009455e7dfd2', '5a16a09ec30a0816', 'a69d5b40652325e4', 'b95f9f80a31196c6', 'c59210f96ab4a776']; context = [[3, 56], [13, 69], [29, 99], [2, 71], [37, 114], [7, 82], [97, 183], [45, 128], [111, 173], [93, 145], [3, 72], [63, 124], [0, 52], [1, 59], [4, 59], [12, 59]]; loss = 0.009407 low_pass_filter = 0.300
+Epoch 0: | | 43999/? [8:18:06<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 44000; scene = ['983de178d358e48f', '93ef5f616317a2ff', '3e0be59240322851', 'd5e41b87c1d3928a', '031246664d5c3d67', '28c33171c47829bb', '29b4a05dda3eeb15', '71cee2cdf48a89d7', 'fb5f51d8b4188c7a', '7297c259c805075a', 'a5aaee1765eb23e9', '66726f5afdab740e', 'bad9d8fce9a88d31', '5449702e7a248c83', '975302d5f959f41c', 'a3abe0c419b12a6d']; context = [[59, 104], [45, 105], [118, 188], [18, 96], [26, 101], [29, 99], [1, 58], [9, 81], [81, 157], [2, 47], [76, 129], [175, 243], [41, 115], [3, 52], [32, 81], [58, 129]]; loss = 0.010243 low_pass_filter = 0.300
+Epoch 0: | | 44000/? [8:18:07<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0validation step 44000; scene = ['645cc7949386d427']; context = [[20, 83]]
+Epoch 0: | | 44009/? [8:18:14<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 44010; scene = ['a3ea131bf17afb9a', '2f1e8d38e1ae873c', 'd361571b6da2678f', '3b0005e9814db5da', 'ed6c2f8ddb3a0eb3', '1cdb2bc165a499ba', '56aef3223d56ced9', 'df25682ce6cb73ae', 'ed71bd2e9361f16e', '572a612762e1226e', '08d41c1cedeee9e0', '3384da6d323c1626', 'b8ad9c482b18b2bb', '1a5f05ecf38c8ace', '64318ff73b2572b5', 'e40460ece726c71f']; context = [[25, 104], [51, 102], [119, 174], [20, 107], [0, 70], [3, 60], [125, 193], [109, 187], [7, 68], [111, 198], [9, 73], [8, 69], [13, 93], [11, 71], [108, 194], [11, 92]]; loss = 0.010706 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 44019/? [8:18:21<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 44020; scene = ['0b6805ec5715543f', '1e864d30c35815fa', '173df9656624a093', 'c8ecb6197b43bccd', '12d05cbe03cd6e72', 'c5a0cbe5267c42b4', '63046d3f8570253d', '0e4fabb9c06551de', '589c50b99b3f9f21', 'dc7a324e7e3e0c21', '66a079896a5f5de0', 'c221145e989e0ebe', '9127991e1bcbc9c9', '619fab5acfc50704', 'e17be9060afc6084', 'dda1c2d4bd25e6f1']; context = [[127, 197], [114, 191], [0, 83], [18, 105], [168, 233], [2, 91], [15, 86], [26, 91], [10, 69], [168, 228], [215, 272], [116, 164], [128, 177], [73, 156], [103, 161], [23, 83]]; loss = 0.011804 low_pass_filter = 0.300
+Epoch 0: | | 44029/? [8:18:28<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 44030; scene = ['a6377dfb4e94b6a5', '1112900e2462a9d6', '5b459016ddb3ba57', '8b3f52086b131151', 'd2cc54627797eb1c', 'ea0cd1a6ce3cb497', '25b4a4bd7f750a5e', '589a63f0ffec1297', '94c931fd2c558de5', 'c93f4d1e44cc81af', '52e8de02bb42c2b3', '6cfe3c7146df3d9d', 'c5e355f5e0003838', '42158adb6f145f4f', '1007050ea4602db0', 'a79925c451666231']; context = [[18, 104], [13, 98], [0, 53], [28, 98], [11, 100], [31, 103], [38, 109], [67, 156], [34, 98], [106, 187], [12, 57], [123, 203], [14, 101], [0, 64], [2, 50], [51, 105]]; loss = 0.012054 low_pass_filter = 0.300
+Epoch 0: | | 44039/? [8:18:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 44040; scene = ['c6a25a9741194cb2', 'b6f793dc97f8680a', 'f4ea66b72953198c', 'ed9de3b95ffec046', '0ff2c8c09eb6a8f9', '1f5c9b2057a61671', '9e7176a195177385', '8c2dea2fd62ec916', '85bc7acec04ffeaf', '4ab2cbe665105a4a', '5848d68e0bc9faec', '5a3f3729128ede4d', 'ec6c0c4fbfba7d89', '8c884bf845224f5a', 'ddbe50b308a28435', 'f35f88954217caa6']; context = [[66, 126], [0, 56], [80, 128], [16, 64], [41, 110], [55, 122], [4, 84], [28, 92], [189, 268], [2, 69], [23, 102], [1, 89], [10, 74], [21, 78], [13, 65], [1, 47]]; loss = 0.011777 low_pass_filter = 0.300
+Epoch 0: | | 44049/? [8:18:41<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 44050; scene = ['7747f8d4baf479eb', 'eee101a943091fc9', '649307d5095c45db', '8848308b52fd1c26', '7c79705189eff822', 'a20afaa5204a0dd0', 'f76591c4921d769b', '891a2d8c1847a450', 'b687a0112cc8f234', '082f278db0e77982', '533c1156dd347a3d', '4c4749e293cb665b', '5f6b16b0e97a3062', 'd4896139155e24c5', 'ac9475b5f8128e87', '31bec714e9a163e5']; context = [[17, 62], [5, 91], [0, 70], [3, 51], [54, 140], [36, 87], [63, 111], [3, 70], [45, 110], [51, 109], [176, 224], [88, 152], [68, 145], [16, 64], [9, 60], [2, 47]]; loss = 0.009576 low_pass_filter = 0.300
+Epoch 0: | | 44059/? [8:18:48<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 44060; scene = ['5fd925386deb1ba8', '0b088d8f468b423b', 'fea7244ac3326db7', 'e074ce19458e9c83', '90b23bbaea5c81da', '1b0e717e91cce82e', '0051d3a3ada580af', 'af89e3c28485114d', '9317c49bbcccdc77', '1c1795bc383c22df', 'f8a62db70bf0e0a0', 'c2c1a72d431ffcff', 'a9c31c9a3c4c44ae', 'c690e67a715dcada', '61357024a5c7a67a', '15a5cd0f74a514f8']; context = [[82, 166], [38, 104], [20, 86], [9, 69], [23, 98], [8, 66], [11, 57], [20, 87], [12, 85], [2, 63], [7, 69], [7, 77], [15, 67], [136, 197], [10, 91], [6, 70]]; loss = 0.009103 low_pass_filter = 0.300
+Epoch 0: | | 44069/? [8:18:54<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 44070; scene = ['09d8152f20999cdf', 'e7344d391585afd6', '9c016698821f4400', '749c8153a4063123', '998668fcaa156c0d', 'cf53b8a78207a9c2', '14cb1caa8f185f3c', 'f7de70fa3e0888e4', 'df709a9df3c44a6f', '4674c9925539aad9', 'd7b8aa8b102928ff', '8cd0d1e0b22eb70d', '0cb2e4117ded4d8e', '9dc9f592967c0765', '431adcc96d3e7f9b', '1f61a254477e0f4c']; context = [[0, 57], [5, 57], [68, 130], [19, 93], [1, 86], [8, 83], [1, 48], [0, 45], [4, 63], [33, 112], [61, 113], [165, 255], [19, 71], [0, 82], [33, 87], [4, 75]]; loss = 0.009422 low_pass_filter = 0.300
+Epoch 0: | | 44079/? [8:19:01<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 44080; scene = ['4671540a86c8b051', '1df4c50a6d867f43', '1bbbca2236ee4230', '38f6b2d7b3929a61', 'f91bb3b27b67a83a', 'a61585eb9e5cae15', '0947cd60364c7a00', 'b8a0d98cf50a7f4a', 'bf06a2187ba5ee89', '022c8b3bf09953d5', '175a499efb67c13c', '1e39c8f4227974ff', '60be15a3ad83648a', 'd54be14960a96623', 'a1ceea81e1cc2dcc', 'adaae18b87cb04ce']; context = [[5, 56], [12, 62], [4, 92], [2, 66], [18, 96], [6, 56], [0, 49], [4, 60], [0, 83], [16, 67], [27, 96], [1, 57], [10, 73], [4, 90], [164, 239], [27, 105]]; loss = 0.010181 low_pass_filter = 0.300
+Epoch 0: | | 44089/? [8:19:08<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 44090; scene = ['1bf22ffc981d8d25', '2b89a5ffcb498fac', 'f994255b6cad5bd6', '7fd87451d9940559', 'bbbd69e2e2beea48', '9f321b3d590f82c5', '5cd347f1514b5e17', 'ad1ab6f6fa4bc6ad', '676d8f7647d00d86', 'e91c5ca70f486da3', 'fdcb3ea2a4ac0dfb', '8d7519b2e98e73b0', '30d16ba84d4cefaa', 'a965dbff622934f3', '1fa171aabc7b86ed', '9b0c4533ac7866e2']; context = [[142, 224], [28, 82], [3, 49], [1, 68], [15, 63], [106, 190], [6, 85], [2, 87], [31, 111], [84, 153], [5, 72], [2, 50], [43, 110], [15, 102], [32, 116], [102, 155]]; loss = 0.010860 low_pass_filter = 0.300
+Epoch 0: | | 44099/? [8:19:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 44100; scene = ['d101a39a319befa5', '0b3450e60786b915', '24709bfd3eb54bed', 'f471211bbbc65a17', '4444717bbd6638d5', 'cb2397daeb2ee8e4', '62ed93b209157a0e', '6a00254256e7d9ca', 'eaaf81aa1bc440be', 'd8ecce19c527bd68', 'f64045579327a423', '1d8bf12e2ba493f9', '87035f1ba62732a4', '2d77b1dd90856337', '8e92a7934ae4139c', '3990880b3e15ac36']; context = [[3, 92], [7, 67], [25, 114], [39, 109], [30, 97], [79, 150], [83, 139], [23, 107], [103, 168], [43, 116], [14, 70], [4, 62], [39, 122], [26, 80], [24, 73], [7, 83]]; loss = 0.011330 low_pass_filter = 0.300
+Epoch 0: | | 44109/? [8:19:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 44110; scene = ['998b6467b6301a33', 'f01e99ab810e4019', 'e69e5f4ed16dece5', '4fd849e3dcbb6a13', 'c3f2f8a62aa92419', '0b8494a5c91c18a9', '7e7f5feb008dd9fb', '52ebb1e5244c98f8', '89a9e39e205dcdf5', '50321b969aeed936', '563209f8f6fa0856', 'ad8ed44bc4adc65f', 'bc9ed05d37d20268', '5902666d915570b0', 'ea194405414b27e5', '469851b0a8d554c8']; context = [[12, 95], [10, 88], [46, 118], [109, 179], [9, 74], [2, 71], [18, 68], [4, 65], [24, 110], [6, 64], [17, 87], [9, 80], [83, 141], [0, 73], [73, 126], [1, 66]]; loss = 0.009172 low_pass_filter = 0.300
+Epoch 0: | | 44119/? [8:19:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 44120; scene = ['7f427872b14cbe12', '677a9cd698b2eba5', '4a375fa7af6b1dce', 'eeb3b613495c5680', 'b6b6249067e22a69', 'a9f1c9d9bc9bdf0b', 'f7a74e0520117195', '6c24f4a41780d884', '94841d39236a40ee', 'bbfa87d9c959aec1', 'a931b461d6725481', 'da3f458e49c442bb', '3d7dfcfce85588a6', '277a96ce456580f4', '71f2a56f5807d8cd', '786cc15dbe60b001']; context = [[7, 52], [42, 132], [101, 176], [75, 151], [21, 75], [134, 222], [5, 69], [27, 117], [19, 74], [13, 61], [12, 85], [2, 68], [2, 80], [46, 102], [52, 107], [7, 53]]; loss = 0.010173 low_pass_filter = 0.300
+Epoch 0: | | 44129/? [8:19:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 44130; scene = ['edd3751dc8cbb486', '0ed722850582d94a', 'f8bf2fef06336b12', '19f4d7a017c190a5', '1195bbd1355cdcb1', 'd6d2b9231c14b140', 'f9eb1bd8462ced40', '39ff492c91df61da', 'd34adbecbd9fc68e', '798d4e7752255a53', '0ddbd037f8183e3a', '0f941bf5ec6453a0', '590fb5ac33ed6860', '33d8c1a4053c0af6', '914a2a719cc88175', 'f4a0645f7254a5fa']; context = [[45, 96], [6, 84], [0, 46], [14, 103], [73, 118], [0, 79], [0, 67], [23, 91], [115, 204], [67, 138], [30, 87], [15, 95], [3, 83], [124, 175], [185, 245], [0, 47]]; loss = 0.009282 low_pass_filter = 0.300
+Epoch 0: | | 44139/? [8:19:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 44140; scene = ['4d77a7a57dc6747f', '6800ac6887f5d57c', '2115526d696f0157', 'e6c460ceba829ebe', 'e3e0aa84f64bd071', 'd6f6e44bb830dcb2', 'dd7313c8e8db7db8', '282fb38dd02724d3', 'cd4cc783a73ee141', '3361ad53264a7c90', '2101e505ce777ee0', '964b86c3822c6381', '5cc6cd5366cbbe2b', '4f8a2a2eda771eb0', '0637e12cbe3bf018', 'c0b57a0faa740fe3']; context = [[0, 46], [8, 66], [2, 73], [30, 99], [51, 118], [44, 105], [5, 56], [117, 173], [71, 135], [136, 187], [16, 91], [14, 82], [2, 50], [18, 67], [1, 68], [102, 182]]; loss = 0.010336 low_pass_filter = 0.300
+Epoch 0: | | 44149/? [8:19:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 44150; scene = ['cf05de0bba53f3ba', 'ed38782db0d369de', 'd43b3efae89891f6', '5900d7afad8a08d9', '012f24ca4b69e4d8', 'a03b1ac1710862b9', 'f401287d77578677', '9f11368d5c9314ca', 'f656c8cb690eca24', '228f67bb3f7257e3', '9d574765cf7838db', '2a1e96e3617a107f', '4a8ac5130ee459da', '3cc86b7a240d9487', '84492f306580629c', 'ea55d305813d95ff']; context = [[142, 189], [119, 186], [0, 64], [2, 77], [56, 128], [7, 69], [92, 147], [72, 145], [5, 52], [5, 81], [34, 81], [56, 120], [3, 74], [46, 130], [0, 45], [0, 47]]; loss = 0.011396 low_pass_filter = 0.300
+Epoch 0: | | 44159/? [8:19:55<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 44160; scene = ['5e7cc1952a622fc7', '62a41152e0103736', '934abcda4ab6700a', 'cfdced6ed0dc318d', 'ca042138cc5291a8', '9e4bbe87809330fc', '01a8f17430811e07', '43133ee21899e29b', '041e80ca1179ed69', '44cb993e19c042ab', '91a5dc05e579c726', 'bf0c5cb654dd1e0b', 'b1c215c60a91a1dd', 'a56927ac0e84b487', '88dcb5cdf83eef5c', '969e0fb4ea498d2a']; context = [[12, 76], [20, 103], [19, 86], [175, 227], [20, 110], [57, 145], [24, 112], [58, 125], [17, 71], [6, 58], [24, 100], [91, 171], [1, 81], [12, 77], [12, 66], [10, 70]]; loss = 0.010076 low_pass_filter = 0.300
+Epoch 0: | | 44169/? [8:20:02<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 44170; scene = ['ec5b8fa33a3c13f8', '249999a5e697663c', 'f16395c74b325ae1', '53bcd9c6deece10a', 'e91a2a9bdbfc89d8', '21b61355fe038403', '36ea0616c1164586', 'bbdc1aee3d7cd0a7', 'd3175d40e3679fd5', 'f0a00f9a911bb06f', '8d2e1979951f312f', 'ea2a12743d11799a', 'a1090f862d52c28d', '2c1ca81772b3d326', 'f1bb81b38686646d', '9ffa3d4808be4b87']; context = [[36, 109], [60, 150], [231, 277], [0, 54], [3, 80], [26, 114], [35, 115], [1, 58], [77, 150], [6, 61], [159, 209], [1, 47], [40, 116], [0, 58], [198, 266], [0, 60]]; loss = 0.012332 low_pass_filter = 0.300
+Epoch 0: | | 44179/? [8:20:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 44180; scene = ['f8fb59071f05cb6d', '7aec8305761aba3c', '35755b6118b6d717', 'b4afa5f85689421b', 'c446f53261d897f1', '932ea026016413e6', 'a0dafac2946dbe6e', 'fd99ff534b6aa674', '8b1f0dd0d1c5b118', 'faf629d360a6ca34', '372aaded63119658', 'c6a52e7103129e02', '8f478c5923eb1553', '0ba7834f81857ea0', '1b9a3a865fd6729f', '608adb2a65c7e52b']; context = [[3, 50], [93, 180], [49, 137], [45, 110], [0, 84], [2, 61], [10, 84], [52, 107], [0, 55], [63, 115], [0, 50], [16, 100], [44, 108], [0, 77], [87, 141], [22, 110]]; loss = 0.008098 low_pass_filter = 0.300
+Epoch 0: | | 44189/? [8:20:15<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 44190; scene = ['74c29d0b7eb8728b', '6530f4e60599a4f0', '5bdceb769e5b3926', '9c6ae5f9ffede923', '6a27f031bc3f1193', '022d410bd702ba81', '9ee6eb6b5ed77669', 'e337c8bd7871665e', '3dae33d69aeb37eb', '942b118a240ea082', 'fea3f95a45ab50a6', '94c795aa5ad1a067', '9ce0bc93c1d4c9a2', '3e6087e41c84488e', 'b7cb71720f2c8402', '84c9a1d7bc246876']; context = [[9, 57], [14, 101], [12, 75], [80, 144], [35, 99], [1, 48], [3, 50], [1, 47], [18, 65], [8, 80], [10, 58], [22, 110], [8, 79], [38, 127], [22, 100], [35, 122]]; loss = 0.009055 low_pass_filter = 0.300
+Epoch 0: | | 44199/? [8:20:22<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 44200; scene = ['fddbc6d91c32a72b', 'bdd08755eb0975e0', '3f869d7524f5cc0c', '00407b3f1bad1493', '85eedea168febda5', 'a3ffb95aeb6475c4', 'd63b1b3960f4811c', '2b21a54efdc5de8b', 'db7eafb0f55568d7', 'f748cbf4640f63ea', '77c705f41b22de6b', 'fb66585f6360b36e', 'da595021fea9f85d', '6854b28be879be74', 'ee69514b21676244', '0284a77587f91afb']; context = [[52, 111], [18, 105], [74, 127], [41, 114], [46, 120], [0, 64], [2, 58], [15, 75], [7, 56], [64, 141], [34, 98], [43, 89], [22, 90], [83, 151], [23, 78], [21, 100]]; loss = 0.009968 low_pass_filter = 0.300
+Epoch 0: | | 44209/? [8:20:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 44210; scene = ['cd3f80e2f7a82583', '1368397e2dcceed5', '6fd0a32acb5e9be2', '44ca078432802942', '18dff95c712c43cd', '5f204ad1cc82ddaf', 'e93bcdd32f6201d2', 'b2002f67cd58c3f3', 'fefbac7ae3dcaf5c', '8b43bf4714cafd7c', '586c40e55dd9917b', '3a89f41e5980d3f8', '9054ce433694ecb3', 'c2c54fc36968cda8', 'cb737f7107cee760', '124e818bc6629165']; context = [[47, 107], [5, 57], [0, 90], [42, 131], [9, 92], [1, 81], [6, 75], [1, 56], [16, 69], [11, 99], [20, 69], [17, 76], [184, 243], [0, 58], [98, 154], [194, 242]]; loss = 0.010768 low_pass_filter = 0.300
+Epoch 0: | | 44219/? [8:20:35<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 44220; scene = ['2f404f627ef3db9e', 'cd74d347cde05f5a', '23b48c0014ee6697', '6357d52b51177465', 'fb303711d5b13b89', '38d35ba6f17e9d95', '66711c996dd1e5c9', 'f1f9d16552e2462c', '0b61005b0dc72edf', '4fa421ffe5875b39', 'e6decd3548cf13ca', 'fea1563243b60527', '4cfab36d5c97fe3f', '8b9464ff35895e7a', '20560c2074161402', '3f6f33974d5ad2aa']; context = [[1, 46], [31, 85], [33, 107], [41, 104], [7, 53], [35, 121], [0, 59], [1, 48], [12, 68], [18, 103], [9, 98], [73, 150], [44, 97], [7, 74], [118, 163], [24, 92]]; loss = 0.011303 low_pass_filter = 0.300
+Epoch 0: | | 44229/? [8:20:42<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 44230; scene = ['22f67b17a5d5fc3b', '918e7f5dbeffb993', '17146181d3806e58', '8d19a7fdcfaf26e6', '2b2e41a1dc4b35ca', 'e772de3085cc5ddd', '8b2c69b736f247cd', '49b45aa23911e0f2', '073b1b758d5b58a5', '7ec761021eb0028b', 'fcb56cad6e48c882', 'ed620e1c813d47b6', 'ac4bb258d49d0f98', '16a7d92bd74000a1', 'bdd49bcddc2a23ad', '999960df0bd1b66b']; context = [[51, 101], [3, 56], [137, 182], [24, 74], [63, 117], [1, 54], [13, 60], [23, 81], [2, 48], [29, 106], [5, 88], [0, 47], [2, 53], [14, 66], [32, 93], [1, 75]]; loss = 0.011716 low_pass_filter = 0.300
+Epoch 0: | | 44239/? [8:20:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 44240; scene = ['ff75d3f7963cdb40', 'b86901107267f588', '215582bd3fed4d11', 'c5f76f45f6ba6088', '6a88a683d5b9ab7d', 'a347f866d6bcc108', '0f199a463f36d52a', '7eb469a50ba1bdba', '6c19062171a4f85d', '7eecdc047fa4f61b', '1ff6f068edd2bc64', 'cb7b0766b8412221', '81ff93a784a29510', '25672d21b37e4869', '9beac3cf904bf329', 'b63e4698070a825d']; context = [[105, 178], [1, 72], [76, 153], [0, 60], [27, 116], [11, 69], [9, 99], [12, 69], [42, 110], [94, 184], [19, 67], [52, 106], [52, 119], [5, 61], [23, 76], [78, 131]]; loss = 0.011370 low_pass_filter = 0.300
+Epoch 0: | | 44249/? [8:20:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 44250; scene = ['f1d37c37b26e7be4', 'e0fb27c2c232697e', '99620b4262b132a8', '8e2f3bf63d24d3b3', 'dd79dc72abfc0614', '1213ca9c64a0e0cc', 'bd17df2a73c9610c', 'b7a4d8bb62482f41', '45640ebc88e55a99', 'cc3b2bb760ce5ade', '9995ebd239715b8e', '97be57ad8c57e50e', 'eebbabe770803962', '2e25e9e465061299', 'b4f2c7ee86d08c24', 'd353a9851abaa4ca']; context = [[15, 93], [20, 86], [1, 62], [99, 146], [7, 85], [60, 147], [178, 230], [64, 114], [56, 111], [12, 60], [26, 80], [137, 199], [13, 69], [152, 203], [10, 100], [30, 109]]; loss = 0.009698 low_pass_filter = 0.300
+Epoch 0: | | 44259/? [8:21:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 44260; scene = ['84d8644226591c5c', '511c2e6527e14026', 'fe1e93a2224e2631', '62b3461053596e67', '87407df62e8e3604', '6f5924539f3e8804', '01eb06e5a91df1f4', 'f185b5c77db4e07f', '87491783936d3687', '6df21c9dc6f62fc8', 'b3024d5eed3fc048', '6d11baba6b38174a', '89b2c9e4a99b23ec', 'bd7b4ace36548ded', 'c26b8903c5f2e18c', '779301fd4a30e32f']; context = [[20, 82], [4, 76], [153, 216], [35, 113], [180, 248], [14, 59], [1, 52], [4, 52], [59, 122], [0, 48], [76, 133], [1, 74], [6, 90], [6, 53], [78, 148], [58, 113]]; loss = 0.012091 low_pass_filter = 0.300
+Epoch 0: | | 44269/? [8:21:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 44270; scene = ['662bb59ab9f410a3', '7351b1a8a7405871', 'fe9c6c63360e43c2', 'cfddf9bb9307d661', '321addf5693a66aa', 'b46547428ff2b071', '36207c22e4ef1437', 'd75bee1cfe6eb53f', 'd3d8f60e4ba32fae', 'dc068443ff649ed5', 'a517f1d63f03aae6', 'b63a129577a096a2', '465485854dea3a8f', '0d4271ec086413ab', '4cd552b90b7668a4', '6b481d7f8c3e3887']; context = [[15, 99], [38, 84], [117, 194], [98, 170], [3, 69], [2, 50], [98, 182], [37, 88], [7, 56], [0, 85], [2, 84], [4, 90], [3, 59], [2, 65], [144, 194], [148, 206]]; loss = 0.010601 low_pass_filter = 0.300
+Epoch 0: | | 44279/? [8:21:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 44280; scene = ['da0fad2070e6c0dd', 'e17208be486cc7a7', '1251592126203554', '6daed58f9f82a5ca', '0f62ec5c20682f71', '69990ac966f55d33', 'dbac9841157230ce', '56db1d6fc942bc90', '6acaceae77f75500', 'd91a42243deb04e3', '1b24cf4a586a15e7', '4bbb9fadc993969a', '7194b8d204f4a0b6', '4e8e3034d0aa307b', '6bef29b74b93e80a', '79c41801a595cd0d']; context = [[3, 62], [82, 137], [2, 50], [4, 77], [16, 99], [2, 83], [191, 257], [142, 213], [30, 118], [46, 97], [22, 85], [0, 47], [116, 170], [157, 239], [33, 92], [91, 181]]; loss = 0.012366 low_pass_filter = 0.300
+Epoch 0: | | 44289/? [8:21:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 44290; scene = ['f0680c43c5c34858', '51df571bb0616703', '1c50722fddad9593', '27b9b6d8520b476c', 'a00596889eff80ec', '28da1359e6e9937d', '4385a3b16d321702', 'ec9f85b999210b88', 'a0e621ae35148a18', '4444717bbd6638d5', '0b3450e60786b915', '24709bfd3eb54bed', '615d2eda2a3d4f7b', 'd101a39a319befa5', 'b2ce83d2be098fbc', 'f471211bbbc65a17']; context = [[62, 150], [77, 141], [11, 66], [157, 230], [2, 84], [160, 236], [4, 50], [15, 89], [113, 173], [27, 84], [0, 64], [97, 173], [23, 96], [16, 94], [23, 92], [21, 102]]; loss = 0.009557 low_pass_filter = 0.300
+Epoch 0: | | 44299/? [8:21:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 44300; scene = ['e46623a7d46b50d6', '4daf1a5b162d8f4f', '8032cb2f4ac9e342', '52db89abd8555220', 'a097d380653acdb1', '5e00df3469fadafe', '5b25bdb3283b2c51', '88e020ce5aa6eabf', 'afbfa0574679e1a0', 'c32ded7df94faf26', 'db6f388d9cf9da27', '90da7d275e530d74', 'e8d2cebc08b3747a', '3a1514aa37ee61ab', '02bb80a43e25989e', '1aa067875411b6fd']; context = [[33, 123], [36, 95], [36, 106], [52, 119], [3, 69], [94, 162], [57, 121], [19, 67], [3, 87], [2, 52], [1, 83], [0, 45], [16, 105], [7, 74], [137, 205], [58, 107]]; loss = 0.011390 low_pass_filter = 0.300
+Epoch 0: | | 44309/? [8:21:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 44310; scene = ['5a1c3e7d540db485', '7ca92f7455e150c5', '08f62581d3c0cd3b', 'c4bf2152a0e7adaf', '58e8e6dad2fdcfbf', '84669dc88abb2e9c', 'c3278a0759c29f0b', '56831578d232b718', '184995ceac7aa6b7', '295bb11f848613c1', '73b0f5e4d3c173f6', 'c03f0fd23901bbda', 'f247f6af52790472', 'adb394a7cad27fdc', 'e8c465654329baa4', '802520a7ddfd5f22']; context = [[1, 76], [7, 70], [11, 57], [27, 95], [7, 69], [56, 121], [43, 113], [0, 47], [0, 81], [0, 45], [69, 136], [140, 215], [47, 95], [20, 79], [50, 100], [30, 83]]; loss = 0.008553 low_pass_filter = 0.300
+Epoch 0: | | 44319/? [8:21:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 44320; scene = ['8bd7c7d5d956e70f', '571b1c65cb66df94', '3fd051acceb87333', 'e69b2e2b9909e847', '498aae6952e2e0ed', 'fa037f2a55450c9c', '7ca10985084da77f', '26c1372d50e49c83', '9bc08616571aaf44', 'f1243209c64904cb', 'b8e21d629c0dc76b', 'c3bbcee94ab6ff1b', '54cf901f43d77bb2', '13f84c9e46eb697c', '92971b350374bdb9', '7173e6107342f9bb']; context = [[2, 48], [5, 61], [10, 58], [156, 220], [11, 87], [29, 113], [51, 109], [10, 94], [19, 70], [87, 167], [24, 72], [12, 101], [2, 52], [58, 128], [7, 66], [4, 49]]; loss = 0.010246 low_pass_filter = 0.300
+Epoch 0: | | 44329/? [8:21:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 44330; scene = ['360522a132341bfc', 'db94d811017ceff9', 'a17ad78f3de1747f', '4b57460bfcb3622c', 'e2f8593ab819939c', '82065e7ce51acd3a', '346c571507de5452', '9d5d32f2e63f94a6', '07b91d8606616953', 'e160faecc21bd431', '261bdda76d7124cf', 'ba681e5557b24568', '6e65795a976312b7', 'df63cd7eb6e92486', 'e3d66ec0999d7a5b', 'f2871fcf37ef0afa']; context = [[177, 232], [102, 156], [0, 54], [30, 106], [0, 58], [78, 140], [5, 64], [0, 71], [5, 54], [15, 72], [73, 135], [2, 47], [20, 81], [3, 80], [14, 103], [49, 117]]; loss = 0.011964 low_pass_filter = 0.300
+Epoch 0: | | 44339/? [8:21:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 44340; scene = ['5b56bc954e1facf7', '7ab9776ea53a33be', '10dbf6c5afec6956', 'a0514dbd97164249', 'af8138fd057cb9ba', 'a5e7bac0c5ec864e', '6afc875a18e9cc63', 'c0a547f524acd02d', '58a0cb2ee7df863b', 'c7645cce7e407723', '3f27e74e06018bdd', '51a07a8cfd4f165a', '30df33671d4fa936', '0658339e887c406c', 'f8323afafadbfbae', 'dfc6659f7454564e']; context = [[2, 85], [7, 77], [23, 103], [164, 224], [37, 117], [16, 88], [8, 71], [103, 158], [11, 96], [1, 46], [47, 124], [91, 174], [9, 99], [37, 118], [152, 238], [133, 220]]; loss = 0.011716 low_pass_filter = 0.300
+Epoch 0: | | 44349/? [8:22:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 44350; scene = ['9ff2d2e5e03e4a46', 'db2e762460f62ca8', '17a7065ae9a39fe9', 'dea74d1115ddc740', '8d7ae402a4c0ffe1', '8a373f69acc27107', '160277a8ea84893b', '1a082becf34d9d76', 'fbb1715906db0bf8', '3da3497f8e19b030', 'aeb546089ce83e55', 'c3d2af250bc1f3a8', '08ce1e4ccb1f4964', 'c8041821e77b3d89', 'b75e800d18bafa7a', '6e58885ab481a69e']; context = [[61, 136], [0, 54], [0, 47], [37, 82], [11, 69], [32, 90], [114, 159], [5, 69], [22, 98], [4, 70], [34, 81], [145, 231], [2, 76], [10, 55], [128, 191], [13, 58]]; loss = 0.009421 low_pass_filter = 0.300
+Epoch 0: | | 44359/? [8:22:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 44360; scene = ['ac030ef563710103', '103792bf6a24849b', 'c2a910981ea58dd6', '2c4bf4c81f761386', '154ffc3f70fe9019', '131a064a5ab68a39', 'fbc2ebad8df77f1f', '2cf0df5ede50bd1d', 'c2e363674f808d28', 'bedb0dffc6d80b4e', 'f896f057f530ebce', '568246aa43b60985', 'c472a0ece0937100', '62aee613a1a82b79', '8d1277d3bb07035e', '12d54b02fe9d16e1']; context = [[68, 144], [159, 212], [20, 70], [147, 234], [42, 97], [27, 84], [29, 83], [131, 183], [30, 105], [18, 90], [78, 154], [8, 63], [4, 56], [57, 112], [39, 126], [5, 89]]; loss = 0.008035 low_pass_filter = 0.300
+Epoch 0: | | 44369/? [8:22:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 44370; scene = ['d6624c56a6590f71', '8d735e8ed8911783', 'b779e1e2005f2fe9', '2855efbe48260b09', 'b0b5b54c3e1f9290', 'e84cd5fe5f7314ad', '146bae64f879b134', '4277f29e70ca77ae', '5f53273e365f8b6c', '9d54b3b624d9b66f', '2d52f8760e25680f', '1db656924dd94e45', '711034bf4923bb96', '3d5b8dda0216bab4', 'a40627dd8a2d655e', 'bd350836c05db281']; context = [[9, 54], [7, 62], [107, 157], [5, 72], [23, 79], [147, 219], [53, 108], [195, 256], [39, 90], [1, 70], [5, 53], [13, 66], [8, 54], [2, 64], [89, 140], [1, 55]]; loss = 0.012534 low_pass_filter = 0.300
+Epoch 0: | | 44379/? [8:22:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 44380; scene = ['af4dff7016287971', '557f8c7222f4094f', '55bc2a5f8dd8c274', '14d6407edcc83d44', '70548ca1eb39d2ea', '728aabaad15c4852', '5bf54b9911827a9d', 'c79896b4ed843482', 'fc7ce4aebcd1d2b7', '1fdf3f2fbffeacee', 'a5de552e69fbce79', 'b1a16d59285b517b', '40801df8576367af', '07c83bb5515085c3', '9bb61a9d88d791f9', '703823150f4adadb']; context = [[118, 172], [27, 88], [85, 166], [43, 116], [3, 85], [1, 59], [2, 56], [97, 159], [78, 136], [96, 157], [18, 89], [13, 99], [1, 79], [1, 77], [152, 201], [110, 198]]; loss = 0.013574 low_pass_filter = 0.300
+Epoch 0: | | 44389/? [8:22:29<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 44390; scene = ['71499e389bdaea92', '920891e5bfb74f6a', 'cb64aaa680fba010', 'da3f458e49c442bb', '277a96ce456580f4', '786cc15dbe60b001', '71f2a56f5807d8cd', '3d7dfcfce85588a6', 'a9f1c9d9bc9bdf0b', '6c24f4a41780d884', 'f7a74e0520117195', 'a931b461d6725481', '738ea97b91ab1d52', '94841d39236a40ee', '14f68c00678fdacc', 'bbfa87d9c959aec1']; context = [[51, 113], [4, 68], [188, 272], [0, 49], [2, 50], [210, 277], [37, 119], [11, 58], [78, 153], [74, 123], [3, 80], [111, 172], [153, 217], [19, 79], [2, 48], [0, 49]]; loss = 0.009712 low_pass_filter = 0.300
+Epoch 0: | | 44399/? [8:22:36<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 44400; scene = ['da6ab468a5630616', '7db8c4965bba509a', 'd4cc5c4887f72d3e', '2517e14bc498b4f8', 'cf96acfe14a34f96', '52983a3110a185fe', '36020c6c8008b3b5', '0284951ff54ee710', 'e513de8cae71180e', '5c6f91cf582708ed', 'ca2fe8b44e617133', '913fb4d757212f2d', '1287386498681744', 'e2dcc1004ef5eb8c', 'b33a29e1340cb581', 'f7e30aedb1da3cb0']; context = [[0, 47], [2, 56], [75, 126], [14, 93], [24, 78], [16, 96], [6, 56], [2, 67], [22, 102], [16, 75], [15, 81], [173, 236], [164, 248], [53, 100], [36, 94], [18, 70]]; loss = 0.010843 low_pass_filter = 0.300
+Epoch 0: | | 44409/? [8:22:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 44410; scene = ['1ff50e90731cd85d', '86c8c9b0a6200b4a', '5c6eb6a2caa8b53c', '501a6f4480ce533e', '75d7982a76052a50', '061e2dfaf96677fb', '7d70798a0178383e', '3650acf4e144d660', 'cc095b6f7aaeff1f', '44033cb44fc70e62', '468d05fe9cae4c74', '6584d26cd17e774e', 'd92fe6617d7f8753', 'ba2d21290ad804a6', '55b6f9d7fd7b048f', '747758f69ad48072']; context = [[4, 49], [4, 88], [23, 105], [5, 84], [12, 69], [6, 94], [4, 79], [120, 199], [12, 61], [34, 79], [219, 265], [0, 53], [0, 47], [55, 140], [61, 111], [0, 47]]; loss = 0.009613 low_pass_filter = 0.300
+Epoch 0: | | 44419/? [8:22:49<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 44420; scene = ['3061dd6569af7ef4', 'f9cfbd6bb844eaa4', '6634dce5a1e5a997', '0744c33d52be47ea', 'a67ff330021239e1', '25bd03283afbf268', '29a5370dda4ecd56', '72606e5ffcbe0bac', 'cb8d6f52af9edd41', 'ee74691f92b13a07', '7b58cbb80da4b748', 'a8b78c0dcd5a10dd', 'b514b294a14bbd20', '3ceafda325ca5d89', '3608f1d16a591c54', '1dae541a36d32e0c']; context = [[65, 115], [1, 62], [14, 92], [1, 84], [103, 168], [5, 62], [10, 68], [43, 132], [11, 66], [2, 51], [5, 92], [0, 46], [6, 64], [55, 109], [22, 99], [7, 64]]; loss = 0.015130 low_pass_filter = 0.300
+Epoch 0: | | 44429/? [8:22:56<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 44430; scene = ['0139d9fa2834c496', '8b8a871ef6c8045b', '1d60c040046aab31', '6c3a8d059e82f912', '3765ecbfb3a165bd', '1cbee92f071ca0fb', '344b8a6319bec5ab', '2cdc2ed1b8813ab1', '3691cd26c7100116', 'f23e4d3afc46ac29', 'd678738b34c57d8a', '57f5506e3257f4b2', '2717a1836dbb53d9', 'c2d56785690fef5c', '9bae213a2e0667da', '97d48083a9c554ef']; context = [[122, 200], [39, 109], [44, 109], [5, 75], [145, 221], [153, 204], [70, 156], [23, 112], [11, 101], [63, 119], [9, 75], [97, 166], [0, 72], [153, 207], [12, 98], [4, 63]]; loss = 0.012250 low_pass_filter = 0.300
+Epoch 0: | | 44439/? [8:23:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 44440; scene = ['4c60319eacf0b3d0', 'cd4ded36b30a9d00', '965b54022afdb14f', '3b3eac398b0f59ba', '0e7656a39389616d', 'd2a8948d03eafd29', '7039734be2f00317', '1d81f59588ab98f5', '5f0a8cfefdaaedcc', 'fc68db62b98934af', '8c67d77a1f9a6b14', 'cc64908cbb514ebd', 'd0a703be7fbaa9db', '51d0544fae56e467', 'd1b9a1b70474466f', '2e770da39beca629']; context = [[3, 63], [131, 194], [6, 63], [58, 115], [13, 82], [57, 130], [1, 84], [34, 105], [178, 231], [26, 110], [20, 101], [0, 61], [108, 156], [89, 154], [0, 57], [41, 111]]; loss = 0.009370 low_pass_filter = 0.300
+Epoch 0: | | 44449/? [8:23:09<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 44450; scene = ['43c173591e7de4e9', 'a1d8ab6deefc971a', '7dc497c9d9fc9dbe', 'e6683441e899b7ad', 'c73d3bd74c1973fe', '3e07ac19a6be1efd', 'ba9c1f1d7b31aa0c', 'e5a612f26db49308', 'e7bc763f52f6d941', 'e0a88916f5977690', '8d96b0810c1474f0', 'ebe21549c614d5e2', '343a4e21bc309742', '8af7af40f69b8edc', '48d7fd81ca2aa8f0', '0c681aad5c4df8f0']; context = [[146, 231], [9, 97], [10, 62], [39, 85], [13, 82], [61, 134], [1, 78], [19, 102], [2, 81], [57, 134], [66, 116], [66, 132], [105, 187], [1, 46], [3, 62], [210, 264]]; loss = 0.010603 low_pass_filter = 0.300
+Epoch 0: | | 44459/? [8:23:16<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 44460; scene = ['e0fc8d5106e28ee2', 'baa0a61d22b9e051', 'd8a2cf8b506f71c7', 'ade900eea4013390', 'ae9f87b6c5c2c5de', '71bb80ab49a07c24', '6b3e1c805ca87fd7', 'ce5fbfc75c316c2c', 'd59c00fd440ac6c5', 'b0a37b9cfe759de1', '22edf9279359ca32', 'cb2b368e1872f0fb', '61cdbe0f820614ee', '075784c69c746731', 'ce072a0a0665a1f8', '357d019a023312c7']; context = [[2, 62], [23, 100], [18, 84], [12, 72], [0, 87], [154, 213], [17, 97], [97, 173], [147, 218], [25, 74], [21, 89], [14, 78], [36, 114], [29, 109], [14, 77], [5, 89]]; loss = 0.008818 low_pass_filter = 0.300
+Epoch 0: | | 44469/? [8:23:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 44470; scene = ['cf78433dadf58175', 'c7f3ba9289f424d4', '251522536184bbb1', '3bb54d65291fd396', '0849a021a3a51cb5', 'f765a2b14a33fffe', '4085aff1753b53ac', 'af96623802f4dddb', 'fc91f4cded72d92e', '9e3c6f6868453f09', '5129718570b4de96', '1d4f8bd46c960db8', 'c643bb23eba2cf21', '441fb31750988576', 'cd1a8676555704d1', 'abd404032954ee04']; context = [[6, 74], [136, 184], [28, 81], [182, 272], [23, 82], [35, 93], [10, 57], [86, 165], [44, 129], [5, 85], [107, 164], [16, 86], [16, 106], [12, 72], [30, 106], [2, 50]]; loss = 0.010677 low_pass_filter = 0.300
+Epoch 0: | | 44479/? [8:23:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 44480; scene = ['817eacbf366cb02c', '043b1c5d141de8bd', 'f02861ed6d0329b5', '63a09885afeaa9ef', 'f29b03bb0ede6c6b', '78df146e207949e3', '3dc630e7c22bff72', '368f5c20ad10eaa7', 'ccf0fb152a3957ec', 'c4b2915ba803f481', 'f020c35a66a04291', 'a24b9835a33fb46e', '4c952c27612a3ac7', 'fda481eb3ffc890e', '19bd0f9c48f069eb', '009e573e59c8c393']; context = [[29, 91], [8, 64], [44, 117], [3, 73], [47, 99], [60, 110], [96, 170], [12, 79], [1, 55], [49, 97], [29, 84], [4, 92], [81, 135], [29, 89], [12, 64], [72, 141]]; loss = 0.007585 low_pass_filter = 0.300
+Epoch 0: | | 44489/? [8:23:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 44490; scene = ['20805b89fea12b16', '7615cbc4ef6c7051', '164156530d3be634', '3566daa8c63d47cf', 'cfae8689c0568699', 'aaa7372f9ad2a0ca', 'e7dd065439cbb857', '8fd5c7d863169cdc', 'fdc53d78156ed9ba', '50863a3be6590b17', '650e6f2ad859a7f5', '95306ec7c18fe2aa', '740530267134cd5f', 'c7d2800105ae3669', '650a68d59419564e', 'b0549364f20ec720']; context = [[32, 95], [75, 144], [107, 176], [8, 79], [0, 67], [2, 71], [64, 145], [13, 97], [19, 75], [56, 124], [14, 96], [7, 71], [26, 89], [0, 68], [67, 152], [83, 168]]; loss = 0.012480 low_pass_filter = 0.300
+Epoch 0: | | 44499/? [8:23:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 44500; scene = ['5fb80ae92d0685a6', '3527c9327919201e', '021304d1e09c8b5f', 'a94e03cd69b319e7', 'a841ed546586950a', '2df83aef6a375147', '7fc375752c2540e3', '524aaf3b874aae61', '072eca78621634b1', 'a0883fd11d656ac5', '9fde98805690a4e5', '11e8a47afc86d430', '1b0c7b2e662ade88', '4cbc8aa0b70db3bf', '51f52754331b5f78', 'c1bbeae38bae48a4']; context = [[17, 94], [34, 94], [10, 56], [28, 112], [0, 48], [1, 61], [35, 107], [83, 166], [11, 83], [109, 190], [94, 146], [56, 129], [20, 72], [3, 64], [0, 51], [6, 91]]; loss = 0.010043 low_pass_filter = 0.300
+Epoch 0: | | 44509/? [8:23:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 44510; scene = ['7bc880614fa3e331', 'eaa649b69e528f27', 'be5c623baa7340a4', '07a4dd9f55fb5a51', '852379c2f0247491', 'd64656f9226227a8', '627e1740aebd42b6', 'c356b5fd63ca4228', 'c2f4ee94e6aedf42', 'ea35f2e87a22cc27', 'd6f4cf1db5c5d80b', 'd6d953d12d23fdc7', 'c234202cc8bec9b7', 'b9f9d1c6f63799e1', 'a6d4617c65500d60', '0eb0406f93082b02']; context = [[81, 167], [3, 81], [92, 177], [28, 97], [21, 79], [116, 168], [1, 53], [75, 151], [10, 94], [86, 142], [11, 84], [221, 274], [13, 74], [93, 159], [2, 61], [23, 81]]; loss = 0.010002 low_pass_filter = 0.300
+Epoch 0: | | 44519/? [8:23:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 44520; scene = ['acfd111702e90c2c', 'fe65c2bd94b30489', '082df11768924c7e', '8a543bf958e48dea', 'afe7352745af8df5', '4ac72b0e9795380c', 'cdbb5456c4a6c130', '553c15ccd8a7c665', 'a3e389b0c33b31cb', 'ff2bd6b594638b0e', 'afc302429757e7af', 'c3a695650753db89', '9e8ecfc74a51c2e6', 'd29eac762e09103b', '56fa185e2826487a', '3780a47aa7d1b0b9']; context = [[6, 71], [18, 71], [60, 147], [122, 200], [11, 57], [9, 89], [176, 254], [11, 97], [3, 78], [29, 97], [166, 240], [1, 84], [61, 112], [19, 70], [61, 144], [9, 95]]; loss = 0.009810 low_pass_filter = 0.300
+Epoch 0: | | 44529/? [8:24:03<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 44530; scene = ['c61b981dbf13061f', 'f93670c72163c7f5', '3cbf8cd5a0942182', 'fa9ceb9287bcad19', 'b3bcd04c589274ad', '16af2b590367a485', 'e51c391ea5baebec', '1cfc5fe62ca5877e', '2a5dc81550340f67', '25ea8df146574b53', '784279860f251724', '32a0b18fedacbcbc', '273fce55932d575a', '54c42ebf9c2e8c6a', 'ee8a4c0cc4c523d2', '6be96a2ce575c89a']; context = [[5, 61], [199, 275], [150, 211], [15, 74], [7, 77], [15, 85], [48, 104], [60, 110], [5, 78], [23, 83], [91, 149], [1, 90], [10, 65], [10, 100], [24, 86], [2, 77]]; loss = 0.009421 low_pass_filter = 0.300
+Epoch 0: | | 44539/? [8:24:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 44540; scene = ['25566dbcbdb9d453', 'c938cdcb831e024b', '07182819a3f6a9fb', '4e4bd2a7244f34b6', 'f36f99cf29f3be44', 'bcb35fbe47324395', 'cac3f22b990387cd', '0d93117304b2c328', 'b6c050a85869fbab', 'd0e4a11f9aa906cc', 'c1b6e10c20d99e06', '6f22c617870a2aae', '8195e86be5549d7f', '70a331f9fcec9d43', '41bfde5305c81839', '4d6a1bf4c39100f7']; context = [[57, 138], [13, 70], [0, 65], [123, 176], [85, 138], [2, 53], [29, 100], [27, 85], [7, 68], [7, 73], [17, 103], [5, 79], [8, 57], [143, 201], [136, 201], [1, 52]]; loss = 0.008733 low_pass_filter = 0.300
+Epoch 0: | | 44549/? [8:24:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 44550; scene = ['2f42d8f78b745b8f', '7b026e9cc2809b23', '8bff83ff7b1d25e9', 'b1216352b15f9fa6', 'aef1e4297d457ad0', '8960d6b0b7c62066', 'd53f3d87d749e474', 'e72a841fa01591ee', 'c572ac3284157a08', 'cdce02ed0baf8f27', 'd834085f08b8e1b5', '354bb8c3bf607454', '76d477e0f4218735', '2ba4d5c0fdbbb755', '2264c570151d3eb1', '3691359ea56c00a9']; context = [[82, 137], [0, 64], [2, 69], [33, 83], [0, 68], [4, 57], [30, 106], [18, 89], [17, 89], [65, 125], [45, 108], [46, 95], [27, 79], [48, 105], [96, 181], [0, 47]]; loss = 0.012463 low_pass_filter = 0.300
+Epoch 0: | | 44559/? [8:24:23<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 44560; scene = ['02da5ca9f9f18cf6', '5b8d93621a85c23d', '6aa46d66a867a539', 'ceccdc53778b29f5', '97b29d662bd9096a', '78df3c57e0ad56c7', 'b11de4716fc224be', '0074915cdbef7836', '9416bedb61dd7c0b', '7e53bc6da12b71db', 'ecd0d0bb2819ae9a', '07bfe0e0500de7eb', '97db2dd2f407388e', '87ffb21238d4c43b', 'ba1c15e73bfc4eba', 'cf705560e53638f7']; context = [[21, 92], [34, 81], [154, 208], [21, 69], [67, 152], [15, 73], [48, 117], [35, 85], [3, 66], [75, 127], [10, 87], [4, 72], [65, 154], [26, 113], [92, 167], [51, 141]]; loss = 0.012196 low_pass_filter = 0.300
+Epoch 0: | | 44569/? [8:24:30<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 44570; scene = ['461f43457daa4b50', '26a57e64e16d1b10', '5e1cb673bf14592c', 'a8159d5139330794', 'd8481651acc76769', '1abe4c0d5c5989fc', '85e953b1591ebb26', '0978d7105d3262a5', '65b134ccff0da535', 'ff9cdf0d622d570f', '195b0d259724614e', '81f5ada9048dc7f1', '40ae3dabcaef1d75', 'ef148eba57056ecd', '21c74a87a82349ce', '3116d924654c4dcf']; context = [[65, 142], [195, 267], [4, 54], [6, 72], [152, 220], [153, 243], [72, 128], [42, 93], [0, 81], [32, 80], [85, 168], [0, 72], [28, 80], [5, 94], [1, 64], [145, 224]]; loss = 0.010565 low_pass_filter = 0.300
+Epoch 0: | | 44579/? [8:24:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 44580; scene = ['246000abdc7aa3c6', '7c2d62eae6516d1e', '8d4bb7e26db63eb6', '77a76b5a1223d66d', '3ae57227ccab25e8', 'b164d2a50ad6e406', 'c7eb0f11acbee2b1', '4ba775154ed5f451', 'ef7412f29ac99051', '3fa09b493236b1be', 'e78ea0051cdfb8a2', 'e257408aebee8296', '636dc42413fab3de', '7ce03a48c280ca1f', 'bcf339b753e90045', '869e4027ee7764a3']; context = [[27, 77], [42, 88], [9, 82], [43, 97], [53, 133], [38, 83], [50, 102], [34, 92], [5, 62], [90, 149], [76, 126], [0, 84], [86, 135], [23, 113], [112, 175], [42, 115]]; loss = 0.012633 low_pass_filter = 0.300
+Epoch 0: | | 44589/? [8:24:43<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 44590; scene = ['f8755c049d3f8fcb', '49ba6fbb5a39e7d5', '39bcb80c02b8b0f0', 'a9bcbc63daf30f4e', '0de33ad1ded7a060', '0678547e251bcd60', 'f7da323950f255a0', '2dc5db0ae2b383df', '821c3210d5cb54ac', '3bac8b9c47707a8a', '1c4c1047238bde1e', 'd3234b40e1d89548', '48458995dd3a43e6', 'bde3a7187db8eeac', '58291bcf39ec8346', '06c175f6ee37879e']; context = [[50, 116], [19, 71], [7, 56], [25, 97], [118, 193], [7, 74], [32, 95], [45, 93], [14, 104], [31, 108], [26, 87], [124, 200], [0, 47], [4, 90], [12, 98], [20, 97]]; loss = 0.009380 low_pass_filter = 0.300
+Epoch 0: | | 44599/? [8:24:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 44600; scene = ['ac42ff7b8e4119c3', '0ec818f376461a5a', '032522f3b8efd159', '853cea5a9bef7465', '2ee31a7780c9ba67', '0813b29057ada72e', '9dc96e2d658c29a6', 'ec9fb1bb662b94f9', '5a9fae3ad84308a9', 'c9442f9e9ba380a9', '89ef5b7415c57162', 'fd313850c5fc2620', '1dc1c0fad339b728', 'abc78476b3ad43b2', '59f90e73aecf538b', 'd0b3f6bd660985a2']; context = [[6, 78], [7, 84], [80, 153], [7, 68], [1, 55], [3, 50], [54, 132], [9, 58], [115, 165], [16, 68], [30, 111], [23, 102], [5, 92], [3, 64], [26, 96], [90, 150]]; loss = 0.010229 low_pass_filter = 0.300
+Epoch 0: | | 44609/? [8:24:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 44610; scene = ['21fbf47a07583ef0', '6bcfad17928a7596', 'cc70fe54f91b62f2', 'd5cb4b22561d402b', '56d278fccc3262a2', 'fd3b8c9110472be6', '7bc6193e511cc112', '54611c559b51c587', 'aae58f49c4e7adb1', 'c896b9790d75ba5f', '164d8c162b3380cc', '2500c47765259d25', 'b35a083c0ebf5083', '882604c1aec0e83a', '5c3edf95e971e6a1', '81e4aa61acacb1a3']; context = [[157, 246], [3, 92], [36, 85], [75, 152], [0, 48], [137, 191], [58, 108], [0, 83], [23, 109], [64, 130], [4, 87], [134, 208], [21, 83], [1, 55], [156, 210], [15, 76]]; loss = 0.013160 low_pass_filter = 0.300
+Epoch 0: | | 44619/? [8:25:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 44620; scene = ['645a8988ce8fde03', 'f0ec6fde32d852f4', '865f1084bb5394ac', '29eb7537903248df', 'e125136b4495509a', 'd550977e6ab72e54', '47261f4c960af669', 'c0cd96efb97299af', 'f8e1c32284e7c88b', '6aac614c1b641318', 'a4486bdf8d080ff0', 'b416246bd5fc5f87', '78abe4c6652298aa', 'be1727230db6ce6e', '6f3fc6900ed0a7d9', '21b266c3d59a9973']; context = [[4, 91], [81, 170], [24, 70], [2, 63], [10, 87], [45, 130], [52, 124], [9, 67], [34, 109], [59, 117], [2, 62], [37, 99], [41, 118], [0, 83], [6, 76], [48, 117]]; loss = 0.010347 low_pass_filter = 0.300
+Epoch 0: | | 44629/? [8:25:10<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 44630; scene = ['ac22f80e1d34b899', '18bee1791ab613ff', '8fc6704ed8465c3f', 'bce3c137c2effa16', '68770b0db8ad1d3b', 'f8186b350aaa2775', 'ee09ae34a0720fac', 'bdb3cfd2caf40d2c', 'b7edd79abf6abf18', '4697c4de453f4c04', '80773003e0a7eac2', '2e3b7c0955984c0b', 'e60114b10c6a70e5', '404cc5a0fd0a2131', '5d38403bfc1e7822', '5f488b72ead7bb74']; context = [[44, 122], [48, 99], [8, 80], [12, 59], [18, 89], [4, 64], [28, 97], [41, 97], [1, 50], [96, 164], [162, 215], [57, 109], [95, 163], [5, 53], [97, 170], [19, 96]]; loss = 0.010465 low_pass_filter = 0.300
+Epoch 0: | | 44639/? [8:25:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 44640; scene = ['3f99cb9bcafde8fe', 'e0458dafcf2e0e90', 'ecc8438134a2638d', '39affc04f4fec373', '22883477ff44a8d8', 'ade5d1325a93bcd0', 'c9549c302dd8199b', 'db4aa5fda0f93baa', 'a1a1232aaf87f494', 'a6716ac7a4815ded', '3b3cf18766226dba', '53a78f0397e97484', 'af8f48c2701a86d7', 'e2a52c2d94f21d4d', '6c57545257660e6c', '1b35df36589d1961']; context = [[58, 109], [57, 102], [9, 64], [40, 101], [31, 77], [44, 122], [47, 129], [53, 103], [41, 102], [94, 167], [72, 144], [5, 80], [8, 98], [2, 69], [17, 88], [69, 150]]; loss = 0.009570 low_pass_filter = 0.300
+Epoch 0: | | 44649/? [8:25:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 44650; scene = ['913f87b9648dda52', '0120521cfa518c34', 'f1e8c1b674d290ec', '2dd8ae2b71457753', 'b2a34524405f79ff', 'fddb773938b548d4', '4b36ce9b2637c7b9', 'e328da8e5ef0f90e', '9d60730767a91653', 'b70e4209ae155e3c', '042c5b9d9ed02ac7', 'fa28747d4afe07c1', '8cee8bb5d346a385', '6847876b943d0154', '33ee4ed5a09605e0', 'fa964283efb18a53']; context = [[2, 71], [11, 56], [10, 91], [10, 60], [94, 162], [3, 87], [0, 50], [89, 170], [2, 60], [1, 54], [45, 96], [123, 168], [6, 88], [145, 230], [12, 67], [2, 62]]; loss = 0.008932 low_pass_filter = 0.300
+Epoch 0: | | 44659/? [8:25:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 44660; scene = ['b41d2c3425b758cd', 'cf7f208150f3cc43', 'c7f58067e555ee7e', 'c232622462aa0ff5', 'ce18576673ebaf58', 'ed812d61801c31d8', '35a941a1cc030cae', '8b684380336d7b11', '7e934c4d5fc1df83', '98a805938208ce42', 'ec79c7bfb5e679dc', 'bb379f6aaa065c43', '7d9badc36b36c42a', '4d3305c36130f0cf', '1e5e29d1878127f6', '32b6c71b6f77de55']; context = [[39, 110], [1, 52], [29, 87], [8, 75], [10, 77], [13, 69], [13, 64], [34, 92], [2, 50], [0, 49], [39, 123], [169, 222], [2, 85], [18, 79], [20, 89], [41, 122]]; loss = 0.013373 low_pass_filter = 0.300
+Epoch 0: | | 44669/? [8:25:37<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 44670; scene = ['b05564e4b802c368', '3bc79c5d0bf9c88b', '690dbd2a050fc8b1', '4f7532c456da3acc', '2734378e18626d7a', 'bd359118360c9114', 'd53082142bd30277', '5fb40c3519777379', 'adce890dcc2ec015', 'ad8b08f786657b96', '4d978a6e2b9a1d20', '675c0b74e1f0cf54', '4314832d98488d05', 'cc806d390079344d', '445575852ced8759', 'c61dcb999934a249']; context = [[3, 78], [11, 100], [29, 118], [30, 90], [11, 75], [9, 75], [172, 219], [4, 74], [95, 174], [0, 52], [1, 47], [48, 134], [91, 169], [14, 86], [5, 71], [66, 147]]; loss = 0.014091 low_pass_filter = 0.300
+Epoch 0: | | 44679/? [8:25:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 44680; scene = ['e32f6279def089d1', 'e76cc38cd4a649a3', '8c2ac0b557c918f6', 'f0cce9e9948cd179', 'e894f58534099e23', '03236c69ed00c0ef', 'bfd986961df4d711', 'c4ce55bea0af94e6', 'b435f997dcef9ccf', '4f56573f19ad11ab', 'a867df8dd978e7cf', '9cdefc042c8a1719', 'c61660db7b36207b', '6ae3e9482341c6a4', '5aa677118a447f4e', '1599edcd7d71cf8a']; context = [[0, 61], [43, 113], [17, 68], [46, 123], [171, 235], [1, 77], [0, 52], [175, 237], [62, 138], [13, 100], [49, 115], [25, 71], [161, 243], [109, 154], [3, 85], [23, 74]]; loss = 0.010294 low_pass_filter = 0.300
+Epoch 0: | | 44689/? [8:25:50<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 44690; scene = ['45ce6645effd86a4', '6b92ef0308e73624', 'bdebb67214315ba5', 'a1a797c1ebbb9795', '882a4bb1c3ff5449', 'f287b42b0894a220', 'bdf3783c8da8d447', 'c5584bf72d124d9d', '8a5370d597679b7d', '78a509119f9abde1', '7a95da094a319443', 'bfbe0936c45a6877', '627b0865de219721', '191836b21424305c', 'e834fab2208f1db4', '8772de948d685f01']; context = [[68, 136], [72, 156], [164, 221], [48, 138], [5, 84], [36, 122], [27, 97], [72, 157], [0, 77], [3, 82], [123, 204], [16, 89], [9, 77], [0, 68], [58, 122], [1, 86]]; loss = 0.012476 low_pass_filter = 0.300
+Epoch 0: | | 44699/? [8:25:57<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 44700; scene = ['937835bf008447ae', 'cb9ae86a49f95f34', '6f349cede66a597e', 'a328bb24ae1259b7', 'fd92fb298b944a09', '48f502df70db50e1', 'ffb0ecd62200e136', 'a5175255a7a24781', '7e1f1f018b3493cf', 'dad145ce35ad0e54', 'e7129afa3f20fb38', '21268abbbc575fc9', 'fbcfae0d07f3840d', '9e739ec1a8c7aece', 'a0182c984159affd', '3da6288178379844']; context = [[0, 65], [35, 106], [2, 84], [5, 53], [4, 69], [16, 88], [59, 114], [19, 102], [0, 61], [194, 255], [1, 84], [17, 62], [47, 115], [11, 68], [7, 52], [23, 95]]; loss = 0.010348 low_pass_filter = 0.300
+Epoch 0: | | 44709/? [8:26:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 44710; scene = ['560bd1ba2a1f52ee', '3a35983802667459', 'ea8df2691a453116', '59487394e4fdc36b', 'cf8653d94cf8dc19', '1535cb9280277aed', '40eeb4602dccc097', 'ca8a288d4f798d7b', '8cdb8f46a81be582', '48f532b78845c6d4', '584059f95310ea42', '313139806de65869', 'e567c08401dda8a7', '926a4f3af9386f6a', 'e6910569bc347ba2', '86cfe990f194bb9f']; context = [[4, 62], [102, 160], [24, 114], [8, 84], [52, 139], [6, 61], [11, 56], [8, 70], [39, 93], [54, 123], [1, 67], [17, 62], [6, 59], [3, 87], [6, 94], [14, 60]]; loss = 0.007796 low_pass_filter = 0.300
+Epoch 0: | | 44719/? [8:26:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 44720; scene = ['082f278db0e77982', '4c4749e293cb665b', '8848308b52fd1c26', 'f76591c4921d769b', 'b687a0112cc8f234', '649307d5095c45db', '2246ea4355b0fc4b', 'd1470dfbdb2d9545', 'a53c95a54a909cc6', 'b0e2a9b7d0e9e31d', '866dcd2492e1486c', 'fc33c2bb40bfc9f2', 'd1514789498072ce', 'a3cff90df97ff0e9', 'c463f86aa3b44384', '6eb626dd0d103edc']; context = [[85, 133], [12, 67], [9, 56], [130, 199], [44, 90], [27, 77], [71, 135], [165, 249], [2, 66], [0, 58], [65, 141], [106, 166], [0, 46], [4, 50], [1, 50], [4, 60]]; loss = 0.008977 low_pass_filter = 0.300
+Epoch 0: | | 44729/? [8:26:17<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 44730; scene = ['6112242cf8490550', '72b10d15231b751b', 'f973883bcd188d2d', 'c068f4700315920b', 'a5a27648fdade0d9', 'bf8c1e3962c35b5e', '1060ca933281b55c', '06d592ca278c60ef', 'a161a931396aa0d0', 'db62795c284bf764', 'c2fccfc90a74c89c', '4e8af68984b1eabb', '9e4a3905468efe6c', '4b286aa697cf814b', 'b4caf9dbe386c507', 'a2e4b97b2c9a0ae6']; context = [[114, 159], [6, 73], [74, 150], [14, 73], [133, 207], [0, 56], [21, 78], [38, 115], [103, 160], [11, 65], [70, 142], [7, 52], [140, 211], [21, 68], [4, 49], [80, 144]]; loss = 0.009602 low_pass_filter = 0.300
+Epoch 0: | | 44739/? [8:26:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 44740; scene = ['f460c75ce0bd6969', '3d9d988b47e1a465', 'de9083d38b03fd46', 'f75167ab4259531e', '0823531fac97d9c8', '15aae076b5f915de', '71647381f3483fa3', 'bf7e0756f7e60574', '240b8f2b7b0b80e6', 'f3e22bd30457802b', '616731b2df2965c9', 'ed301ea795ca2156', '895cdbd2d21c3d05', '77f2d5d4f70a2c06', '993f5f375f822648', '9846f3379c2b8fad']; context = [[15, 68], [12, 71], [3, 58], [2, 91], [37, 106], [20, 78], [8, 70], [41, 110], [12, 58], [19, 71], [132, 203], [0, 49], [21, 88], [2, 79], [61, 134], [16, 92]]; loss = 0.009349 low_pass_filter = 0.300
+Epoch 0: | | 44749/? [8:26:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 44750; scene = ['a16f25f49092fd46', '961545212c111ea2', 'b917bc074bb50934', 'f7eaf62d4f3c6114', '6feb5bcd09a060f4', 'cda05cdb67698027', '49f17d37416bde4b', '631f19075ce636aa', 'e032f2324ed2e451', 'f3da07e1268f9829', '0fbbfe4c8f90f581', 'a90eab41dddde44e', '8af56d1b49ff17d1', 'dad96ef78afa5f7b', '577bae9426456dc5', 'c211eafa20d6c2fe']; context = [[9, 61], [1, 54], [13, 93], [0, 82], [100, 183], [75, 149], [12, 65], [1, 59], [2, 49], [144, 193], [21, 94], [148, 230], [7, 64], [146, 198], [1, 54], [38, 96]]; loss = 0.009619 low_pass_filter = 0.300
+Epoch 0: | | 44759/? [8:26:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 44760; scene = ['c80a4d4945174b16', '4d65b300238064c2', 'df6fb10595c0c3ef', '7553395100371c11', '06dd2b11f2fee659', '889745e162331266', '26c72ee0b0e70272', 'd6a6b9b02811d3b7', '829f8c2b2e5252e5', '9211b97a7482d443', '92085b73d95d15f2', '4df6563a6aa62cf6', 'f3c2e046bf98da68', '16e38b37ffc36e77', '615dcaa6165fa8a3', 'a8232ef9905e87da']; context = [[28, 78], [26, 106], [32, 90], [22, 70], [28, 82], [22, 71], [7, 65], [12, 68], [37, 103], [6, 70], [10, 91], [1, 85], [132, 190], [164, 217], [33, 120], [4, 86]]; loss = 0.010323 low_pass_filter = 0.300
+Epoch 0: | | 44769/? [8:26:44<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 44770; scene = ['20f4bf16c091cdb0', 'cbdad10abcc885e5', '4f5af60e4c54afa8', '3c14d04df113da24', 'c8eec59d2fd27bc7', '7c6d4de848377911', '53b0a4720f4912bd', '8c311d826f923a77', 'd36fc8d3f149522a', '29ad7f2d5b0f798a', 'd12ba3a2ac78cfb6', 'cbbd98e0f99af188', '9f655edf6923e6cf', '1fd4fba41c85f3c9', 'f00cff8f4ae371a4', '50c9b910f6706ed5']; context = [[122, 172], [46, 126], [0, 55], [3, 54], [31, 76], [6, 69], [177, 264], [45, 121], [76, 143], [1, 58], [0, 67], [122, 178], [15, 65], [40, 117], [20, 73], [21, 81]]; loss = 0.010093 low_pass_filter = 0.300
+Epoch 0: | | 44779/? [8:26:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 44780; scene = ['f1bb81b38686646d', '9ebe5598c2c148b8', '42ac9272440cdbce', 'de179324e4b2cc96', 'd491b2e1e835a7bd', '60d7e3540f156518', '9ffa3d4808be4b87', 'e7cfcb3884629440', '66b0bedbd87eb6d4', '58694b5c16496ad4', 'b9ac53cf1cd3f4e3', 'cdcf8ecbde39db10', '3d5a986156f92892', 'f94badaa12bf80cb', 'e967a875e94bc523', '5dac5439a266d383']; context = [[176, 261], [7, 83], [14, 73], [15, 67], [54, 115], [136, 209], [16, 64], [8, 57], [8, 76], [2, 64], [16, 79], [66, 125], [41, 124], [8, 70], [52, 130], [102, 163]]; loss = 0.010790 low_pass_filter = 0.300
+Epoch 0: | | 44789/? [8:26:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 44790; scene = ['eec481a022f9e86a', '06966b2259fb3aa5', '1d7ad8c6900e7af9', '71544ab5ea6dc037', '61be2551bb51d4a2', 'd4e738e6d2dfc2ca', '74a1a4637c7f405c', 'dcfbd209b2b98296', '0fc06101be8257b5', 'a7c9db349b71b80d', '614c143d4d36e67a', '5800cc8485fe481e', '951b4fd71377c50e', '063a8e820eb3c107', '3152342c2256d3ac', 'dcff1570629b6439']; context = [[91, 151], [5, 72], [30, 109], [5, 59], [7, 55], [67, 116], [98, 176], [29, 75], [3, 52], [12, 101], [185, 268], [150, 204], [18, 87], [220, 278], [41, 120], [87, 133]]; loss = 0.010044 low_pass_filter = 0.300
+Epoch 0: | | 44799/? [8:27:04<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 44800; scene = ['1ff6a0130c1bdbc9', '44b54a674418eae1', '76d53cf41f53eb37', '7658616d6f86ca40', 'aa366c6e6b9113b3', '1ce9bf904ae479e1', '5b83e7eb0afc4ecb', 'bffb100ac66d2d6b', '1cbd1e2b7ee52ac7', '4dab828d09c1dc9a', '4e7192ecd49dc772', 'ac84acdf0fe73c38', '51e1d930d39f35c2', '4e8f6edc35cfae7e', 'fa45a493b74d9f81', 'c0e0f33a16f682e8']; context = [[26, 114], [55, 130], [58, 109], [31, 96], [72, 121], [15, 90], [54, 128], [0, 45], [27, 89], [12, 77], [1, 51], [70, 115], [28, 83], [6, 85], [11, 61], [40, 124]]; loss = 0.011676 low_pass_filter = 0.300
+Epoch 0: | | 44809/? [8:27:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 44810; scene = ['11a798a3ebe14f34', '56df2b5ce47f0951', 'ea05946378cd50af', '2bfceefcaa20c792', '1c6c2f0ea25ac8aa', '10f1c7cda244255d', '96e0dd87c09dd1a8', '1c7e0d9da743e0ff', '724aa9c8b18efbae', '16be374e6f6d5d3d', 'e78f201e5bfc0742', 'e2ca642f83d36d8c', '52b0ce9efb240e7f', '1e51a9a349931860', '2035595ebba23bac', 'dd9171376b4d5f40']; context = [[26, 87], [7, 58], [27, 114], [34, 123], [85, 132], [9, 89], [147, 211], [21, 110], [129, 197], [21, 85], [0, 45], [4, 52], [219, 267], [3, 48], [63, 116], [170, 248]]; loss = 0.013618 low_pass_filter = 0.300
+Epoch 0: | | 44819/? [8:27:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 44820; scene = ['5a12859bbcfd8ac3', '0e6f83ff354756c5', '837023dfd3353d8c', 'e612d7ac6a0649ac', '75a52023d65e96f4', 'cb09ae2e2c7ebbaf', 'cbc442ada60cf32a', 'c5e63a8726d8d66c', '5cc6a2fa5f0a41a8', '53a0c8f7a231f22b', 'ababe0fcdff0cb9b', 'e1e79fcfe1891c76', 'd83adec7ec2084f0', '924c32f78e96f7b0', 'c180b05e16a46ac6', 'f71382a605a56ffe']; context = [[61, 122], [20, 69], [12, 97], [35, 122], [2, 49], [0, 73], [93, 149], [0, 82], [5, 54], [73, 142], [2, 82], [4, 55], [215, 268], [15, 91], [111, 194], [37, 123]]; loss = 0.008633 low_pass_filter = 0.300
+Epoch 0: | | 44829/? [8:27:24<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 44830; scene = ['1ee361f00ab4d1ed', 'dc62d0247fa72b7a', 'f2de49cf61e83138', '787eb1230c119360', '86dac679a8e2b399', 'f480268675d083e5', '310a9fe20c913b7a', '8fbff036e9efcfdd', 'c736e2a60be17d47', 'f0c97b9a018f61e0', '0803ef1558946e8f', 'c07245f7dd1159ae', 'bbb486f1bf6141f1', 'fc854569673a15a9', '49b588e9904990f3', '466bca50a892d27a']; context = [[21, 96], [86, 145], [192, 277], [94, 149], [21, 93], [2, 88], [6, 90], [70, 158], [21, 69], [1, 77], [41, 109], [49, 124], [4, 52], [9, 63], [38, 128], [4, 50]]; loss = 0.012300 low_pass_filter = 0.300
+Epoch 0: | | 44839/? [8:27:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=28.60, train/active_min_children_step=4.0train step 44840; scene = ['3450a747348bb412', 'e7ca86a31912e83a', '31c515e53294d11b', '2643d60a731e5d92', '760c626fa583ca58', '4994aabf6ecddf13', 'a897a9a9dd1e252e', '2e9d2d1be6c3bf17', 'e3c61bf2ef1461c1', '24cc8246635b0861', '1b84d6c7947182e4', '771c1995499ad8ff', '74690b3b51bf80be', '7776a01c77be3428', 'e1647ecc45dac128', '2b429841a0f68b08']; context = [[118, 202], [2, 52], [89, 152], [82, 144], [9, 71], [1, 51], [33, 118], [5, 81], [0, 69], [29, 85], [13, 74], [171, 253], [14, 76], [14, 82], [27, 83], [91, 164]]; loss = 0.009759 low_pass_filter = 0.300
+Epoch 0: | | 44849/? [8:27:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 44850; scene = ['2de65d8f9645d15e', 'f9a627eee0723c47', 'a36899b1194dc5a7', 'c07f313faace15be', '280830338cfc4713', '402bdd40ddbe41bc', 'ee3a19d2d51eef93', '459c2dbb397fe8c0', 'bacacdda6de65407', '403d96fa5b051cd6', 'ce5d6f2eb6fe1b81', '03aa892f294f56ed', '6037096f00b3bcf7', '9ad1ef56f0d00649', 'd7a1d567bba773a1', 'c6e6428a81100113']; context = [[5, 70], [2, 48], [134, 196], [1, 71], [7, 57], [10, 62], [17, 79], [13, 66], [90, 164], [2, 51], [53, 115], [19, 69], [14, 62], [43, 100], [33, 89], [89, 165]]; loss = 0.011653 low_pass_filter = 0.300
+Epoch 0: | | 44859/? [8:27:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 44860; scene = ['08910ea87a38fe67', '3c9bde3eed9aac7a', '4c4c66eb8440e75e', '02f955bfea1c14e6', '442b8ca8e4a5a01c', 'f4ab284b4568139a', '9fc50f65a5a998b4', 'fe07d4791305e06d', '6841d6e7bb3e445e', 'b86f0cc451cd38e0', '305e37ea442951ab', '5073eb59ee636c69', '28f98161e55562a1', '707f00068b57f04c', '097c91b5e2ad9311', '7e6e62f4d393df44']; context = [[9, 57], [18, 78], [25, 75], [14, 87], [35, 97], [166, 222], [176, 224], [45, 105], [12, 65], [31, 105], [8, 61], [89, 140], [78, 125], [0, 69], [11, 99], [65, 112]]; loss = 0.012056 low_pass_filter = 0.300
+Epoch 0: | | 44869/? [8:27:51<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 44870; scene = ['5b99e1003ac65167', 'a7cca3b824fba4ae', '43fe85ffb80fe3ca', '5e80b87bc5ef5c2c', '72068f2a0f7eeeab', 'fb79ec5350c1eaed', '485cc5ecb84afd79', '4fb63d42b75f83ec', 'ceba0c9064ef2075', '93f0ba6797c67f20', '92ae0064b7c18b99', '9c002649b133ed7d', '32b6934068c002f8', '467c7103dccd9914', '27ecc84dfeef35d6', '999d1dc292628db0']; context = [[11, 87], [176, 241], [142, 214], [27, 73], [163, 244], [73, 126], [8, 59], [3, 55], [48, 97], [0, 85], [75, 157], [4, 57], [22, 112], [7, 56], [27, 91], [94, 143]]; loss = 0.011049 low_pass_filter = 0.300
+Epoch 0: | | 44879/? [8:27:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 44880; scene = ['48fb1a0fe481d1b9', '4cfb4accd37fa01c', '8d4c41faae44a989', '1a87a846ba692048', '992703d25ac0d3f9', 'fb7859d36011269d', '2cb0e88a83fb83cc', '5f82a0b9c1a81d5d', '06c2bc96fe172578', '6fada69846df995c', '41d523ec52b3c6a4', 'e0cebc1764db7827', '99d999ed61776749', '0fd39c0d034b543c', '230ae34894c1c55e', 'fc9f71327402e98d']; context = [[114, 179], [74, 133], [19, 65], [10, 83], [129, 193], [97, 147], [56, 134], [38, 120], [39, 101], [51, 118], [73, 130], [41, 89], [26, 72], [12, 102], [20, 69], [9, 63]]; loss = 0.009845 low_pass_filter = 0.300
+Epoch 0: | | 44889/? [8:28:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 44890; scene = ['b1b3db39f2a90eb2', '1adc869076b62522', '73c2ef569a3b523a', 'b409b939c42031e5', '277808ef17892255', 'e48218dcf5a6fcb4', '93c4c2fa3994080e', '40705672cf881305', '4a21df12d3b7310b', 'af4763770bda7625', 'c23235f62a322c6f', 'ec5e23007d81eb4b', 'dcbeb67f1bb0a7a8', '2601f8212a78888f', 'd36d83289ea3127d', 'c3650e874d310a95']; context = [[83, 150], [29, 100], [16, 75], [31, 80], [17, 69], [97, 153], [46, 96], [27, 88], [7, 95], [2, 59], [9, 55], [2, 92], [91, 168], [2, 62], [0, 70], [5, 62]]; loss = 0.011092 low_pass_filter = 0.300
+Epoch 0: | | 44899/? [8:28:11<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 44900; scene = ['2f365fb5323c52fb', '2a73d7c5a8cf0fbc', 'c650dda53967eb05', '5dc01b6fd67b6f09', 'f6ad279359f6eb63', '15770c4aa1e3c886', 'a580f9d21fe00fe3', '4f31c3d2031ae29e', 'ac6a1e0b83cd7826', '688a6b4560e6d685', '7371502a3bed5b0e', '7ee115fb205f848f', '39e1f92f2731b7e0', 'ea9d5cef5a33d0ae', '1bad2a58432e346a', 'ddcd077c7e0a67cf']; context = [[78, 163], [0, 71], [121, 202], [143, 194], [22, 77], [63, 148], [5, 59], [76, 124], [2, 62], [53, 117], [30, 88], [15, 87], [21, 73], [188, 274], [4, 78], [165, 217]]; loss = 0.009625 low_pass_filter = 0.300
+Epoch 0: | | 44909/? [8:28:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 44910; scene = ['e1a001cc971f9549', '040bfec885ae8841', '03f786b8eb33e189', '9159925b118937a4', '10c6540f2e3af25b', 'df7deb08bd35cc9e', 'aa85d24bbd87a8a6', '05a005f68ecccc2a', '184fb534f9aca4da', '5dccd30e3c943574', '5eee3bba5d8a0af0', '09857c20a9b14df3', '51e6b1d7cd013f21', '917a89fdc7272009', 'dbff0bd4a366d4e6', 'ab36a2706d3397eb']; context = [[169, 235], [134, 207], [27, 103], [146, 192], [69, 123], [2, 47], [14, 93], [21, 89], [36, 103], [51, 121], [48, 99], [1, 73], [128, 206], [22, 80], [14, 98], [6, 55]]; loss = 0.008254 low_pass_filter = 0.300
+Epoch 0: | | 44919/? [8:28:25<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 44920; scene = ['3ab9b7649181c36f', 'b8781f450d0adc80', '902c1c83e18a1ce0', '26a1e6b424eebe60', '2ad7c534b9552115', 'acc674156e787244', 'fcf546a53fb77c04', 'db68fe38527e7ac5', '6c19062171a4f85d', 'b63e4698070a825d', '7eecdc047fa4f61b', '1ff6f068edd2bc64', 'cb7b0766b8412221', '80ba2b3e340a0473', '25672d21b37e4869', '47e89e797f97cfce']; context = [[2, 60], [27, 73], [125, 183], [5, 63], [6, 52], [1, 48], [6, 63], [52, 97], [7, 70], [10, 59], [63, 112], [16, 69], [25, 78], [19, 67], [77, 123], [16, 99]]; loss = 0.010188 low_pass_filter = 0.300
+Epoch 0: | | 44929/? [8:28:31<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 44930; scene = ['4dea6d53165f9c96', '4f4b62095d035442', '16a4c73f7dfab404', '72b9601d75933b02', '693e16057340bac9', 'd27fbd9800432849', '1e5d356b6e52ad00', '0d4ded80a6003029', 'b6e0a7217135f0ec', '04c274ee7ff5faa4', '39c680d0e2deb371', 'fb0d624658f450a2', '1f7b83cb671a108b', '5a2d7bd1aaaa9979', '376891e5c574f2fd', 'd1f93bb1a968ea02']; context = [[10, 76], [10, 66], [2, 60], [43, 96], [32, 103], [40, 123], [21, 77], [32, 106], [16, 69], [10, 61], [11, 67], [96, 177], [120, 173], [7, 56], [19, 64], [77, 134]]; loss = 0.009762 low_pass_filter = 0.300
+Epoch 0: | | 44939/? [8:28:38<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 44940; scene = ['8a3e27e005fffbab', '7ad2d82f17a2ce15', '63686d76e16857b7', 'df4320d8eb103685', 'c9ae23235b5e966c', 'd21e4b33834b837e', '9ff079a7d20b61af', '88757490a352159b', 'fd58f65ca879b900', 'efc03ccc68e50504', 'e0e18dfe0dff7381', 'ab1d4518292e91ea', 'b643973b5d059f72', 'c6f9df8f7eed7728', '5fd54bb5819e9564', '0b3f191324b209a5']; context = [[28, 109], [148, 204], [0, 53], [0, 70], [140, 187], [41, 120], [4, 81], [36, 113], [72, 122], [21, 82], [20, 68], [9, 99], [8, 60], [61, 132], [159, 204], [0, 61]]; loss = 0.011079 low_pass_filter = 0.300
+Epoch 0: | | 44949/? [8:28:45<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 44950; scene = ['72f41340c3506abe', 'a74f43b16ad90fbf', '8fe5fd9e06ca3c9e', 'be78b445daa29b6b', '82513f328f3249f6', '8805c7327881e75c', 'f0d10a292635e158', 'b0ca6e8acb7ad97b', 'bc6a2adb3ad36ade', '0273551cbe95b745', 'c71087ae4e6f194f', 'f102fd49171601dc', 'c7910bdb817862a4', 'fcd94bfa816109a0', 'bae4d42f71248c66', '2a7176cc52a8a38b']; context = [[12, 61], [127, 175], [20, 77], [4, 78], [3, 65], [14, 66], [0, 71], [42, 102], [102, 186], [34, 80], [21, 100], [130, 210], [1, 48], [101, 191], [7, 62], [2, 83]]; loss = 0.010593 low_pass_filter = 0.300
+Epoch 0: | | 44959/? [8:28:52<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 44960; scene = ['a142901b8a2421ed', 'bf757b6db55a034b', '6a06b29373391c2a', 'e626cfbe73b265ff', 'af273a69275eafe8', '6a9b8d01b20a6955', '265a01052509e633', '3e432ad21766365f', '12b30537a0047009', '81507799cd656b4a', '9e7d7bcb816167c1', '584801a0905b8be8', 'b8a02be5b8c644db', '83d3d96cdac2817a', 'a2b430d7bec915d8', 'e64a301aa0f3f81c']; context = [[38, 128], [13, 68], [62, 128], [6, 54], [43, 129], [72, 138], [29, 78], [137, 192], [45, 108], [79, 164], [142, 188], [1, 85], [132, 180], [50, 126], [36, 117], [33, 97]]; loss = 0.009669 low_pass_filter = 0.300
+Epoch 0: | | 44969/? [8:28:58<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 44970; scene = ['e46b29fc12390c9b', '3a9cf9b68f41334a', 'e3f00fedd66a5a18', 'c59b6f75d304391b', 'fd1af2cf0da71b4e', '6eae271fb9939971', 'f52a6dc5163500e0', 'da0a014448440c00', '013c589d4f2ec409', '1da393563ec599b5', '6b8eed37ef5bbb26', '05942c4e02b982f6', '9fbbb95fe1cddb74', '2f04d4aea94eada2', '477b299b36c39b44', '4f71b7b1fe7b4622']; context = [[32, 79], [156, 216], [12, 77], [39, 127], [68, 137], [11, 66], [27, 88], [5, 63], [180, 253], [8, 59], [31, 81], [26, 78], [19, 87], [68, 120], [1, 53], [50, 124]]; loss = 0.009384 low_pass_filter = 0.300
+Epoch 0: | | 44979/? [8:29:05<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 44980; scene = ['79af74ea69a9c396', 'c1aacfd63c3b9795', '8aefbf6af9a0effd', 'c3eb1f75e218738d', 'ac8718c9d815099f', '2182b76a33fef09f', 'd6624aac6774c6cf', '0a444fac578101f8', '996067d4347858a1', 'bb48e2d74b804b95', 'f45d89e13c989cb5', '6b6ecd758a2161af', '9cd867f121e491ae', '9af973da0db34710', 'f8e1dd1b4d8d2f01', '1c3e848e9fd120da']; context = [[27, 112], [1, 50], [50, 99], [80, 142], [2, 77], [44, 105], [7, 90], [138, 193], [12, 100], [126, 210], [175, 258], [46, 102], [5, 60], [0, 52], [27, 101], [1, 54]]; loss = 0.010659 low_pass_filter = 0.300
+Epoch 0: | | 44989/? [8:29:12<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 44990; scene = ['38f7386e936c3081', 'fe2632b437de3932', 'cd53364ead1ed07b', 'af16df876bd332c8', 'c957dbe9ee80ece1', '8d6c0e07045f435f', 'af7baf231588e929', 'adad0e545f08b79d', '044e0a37c327cc04', '53d9c4d0bc14f6cd', 'a52c8d3fdc9806f5', 'cb6121df5bf759df', '7a46f3a1073a44ea', '7d143a7b55d767ff', '239ee85d525cc9ec', 'cc0b9f33d4d1104d']; context = [[114, 180], [39, 124], [26, 89], [34, 81], [1, 48], [39, 112], [3, 69], [61, 137], [179, 226], [54, 113], [6, 84], [3, 74], [11, 79], [20, 74], [2, 54], [11, 100]]; loss = 0.010931 low_pass_filter = 0.300
+Epoch 0: | | 44999/? [8:29:18<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 45000; scene = ['09dc6ab625b8300e', 'b94a189b3b04d1d9', '873c3591f993adff', '306235ebe8d8ace2', '5502f11f9b3165ae', 'b5e621584bcb03f2', 'fae8dd2a73485eb3', '1ab0c0259d79431b', '1a2dab689da1e13a', '82c1c8656f684b1f', 'fd797c334015e71b', 'af3a65a2494dd781', 'd95cd751ef6f4bc5', '0a7610d317d24b8a', 'a617b569862483a9', '2cd3fc4ad8daeba7']; context = [[5, 67], [144, 214], [0, 69], [42, 117], [8, 85], [15, 89], [10, 58], [11, 65], [8, 84], [1, 63], [18, 90], [43, 90], [30, 78], [14, 85], [10, 90], [41, 103]]; loss = 0.012386 low_pass_filter = 0.300
+Epoch 0: | | 45000/? [8:29:19<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0validation step 45000; scene = ['d70fc3bef87bffc1']; context = [[30, 78]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 45001/? [8:29:34<00:00,  1.47it/s, v_num=z07g, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+                                                                                                                                   
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/gaussian_train_ratio_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/gaussian_train_ratio_sum_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/psnr_probabilistic', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/active_min_children', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/child_count_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/child_count_std', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/mse', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/error_loss', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/error_coeff_a', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/error_coeff_b', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/error_coeff_c', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/hierarchical_patch_position_loss', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/parent_inside_own_patch_ratio', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera_t', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera_r', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera_f', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/total', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('info/global_step', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+`Trainer.fit` stopped: `max_steps=45001` reached.
diff --git a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/files/wandb-summary.json b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..c76448ccddf215fa8e5a2e069ce1224130428b30
--- /dev/null
+++ b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/files/wandb-summary.json
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\ No newline at end of file
diff --git a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug-core.log b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug-core.log
index 9d3e8ce32b9d86db1da487053d51e325e5ad599e..925cb945440b31893794195343bcd7fd4de6615d 100644
--- a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug-core.log
+++ b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug-core.log
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diff --git a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug-internal.log b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug-internal.log
index d1b133e886d7615a1e19102a403c11f78cc54b65..27c2a8bae01644a52eae65d21d47436cc09ab53c 100644
--- a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug-internal.log
+++ b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug-internal.log
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diff --git a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug.log b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug.log
index c66f8cb363bac47677768b2d3326ffc51b43f7f4..95c9f62b79ea6891c0aa7eece875e9c27ce9c80f 100644
--- a/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug.log
+++ b/exp_0511_B16x4_TrainAll/2026-05-12_09-24-22/wandb/run-20260512_092556-hwkfz07g/logs/debug.log
@@ -17,3 +17,5 @@ config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': T
 2026-05-12 09:26:03,456 INFO    MainThread:2681180 [wandb_run.py:_redirect():2472] Wrapping output streams.
 2026-05-12 09:26:03,456 INFO    MainThread:2681180 [wandb_run.py:_redirect():2495] Redirects installed.
 2026-05-12 09:26:03,462 INFO    MainThread:2681180 [wandb_init.py:init():1094] run started, returning control to user process
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+{"time":"2026-05-11T13:41:56.172129917+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-05-11T13:42:11.145253256+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-05-11T13:42:56.162769395+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-05-11T13:43:26.151469084+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-05-11T13:43:56.227941707+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-05-11T13:44:26.158314506+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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+{"time":"2026-05-11T13:45:12.894947896+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
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diff --git a/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/debug.log b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..3ceb4d2aab4432930e0fe96618cb4c8cf60b0fe4
--- /dev/null
+++ b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/debug.log
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+2026-05-11 08:44:39,307 INFO    MainThread:1747754 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-05-11 08:44:39,307 INFO    MainThread:1747754 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/logs/debug.log
+2026-05-11 08:44:39,308 INFO    MainThread:1747754 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/logs/debug-internal.log
+2026-05-11 08:44:39,308 INFO    MainThread:1747754 [wandb_init.py:init():850] calling init triggers
+2026-05-11 08:44:39,308 INFO    MainThread:1747754 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': False, 'target_pose_source': 'predicted', 'gt_target_pose_align_mode': 'global_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 4, 'max_children': 16, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_B16x4_gtPose', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
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diff --git a/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/config.yaml b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c08caae9636be21b19cb2370b20c7e27e9d372e6
--- /dev/null
+++ b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/config.yaml
@@ -0,0 +1,345 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            agniwyjbsp5szsmwci23mfgngtdsptuu:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_B16x4_gtPose
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=false
+                    - train.camera_loss=10.0
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "656494678016"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4_gtPose/2026-05-11_08-43-19
+                startedAt: "2026-05-10T23:44:39.306842Z"
+                writerId: agniwyjbsp5szsmwci23mfgngtdsptuu
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: false
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
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+                    heads: null
+                    name: feat_cross
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+                    patch_feat_grid: null
+                    patch_feat_norm: false
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+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
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+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
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+            name: flexsplat
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+        warm_up_steps: 1000
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+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
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+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
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+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
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+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
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+        gradient_clip_val: 0.5
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+        num_nodes: 1
+        val_check_interval: 1000
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+        name: 0511_B16x4_gtPose
+        project: flexsplat
+        tags:
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+            - 256x256
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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.1 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+755 M     Trainable params
+304 M     Non-trainable params
+1.1 B     Total params
+4,240.175 Total estimated model params size (MB)
+1500      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                       | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=17` in the `DataLoader` to improve performance.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading model from: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 9/? [00:07<00:00,  1.18it/s, v_num=bz2c, train/psnr_probabilistic_strain step 10; scene = ['78784c6ffe218407', '2144f1fd5b00dc66', 'f568ab2fa64994e9', 'eac6cedeba1f720b', '216d5454333d29b5', 'b628b7d46a07cb57', '3b07094586f67024', '044df93e59024ee2', '167c67586a8c0846', '3931c6a7e69ffff1', 'c9c67636b9d521be', '0908c09364f54c42', '2d92b7321e1039c5', '3bc0044f0678f39f', 'e51ef9945ae527c4', '31250ac58b3e32c9']; context = [[31, 56], [10, 35], [7, 32], [27, 52], [249, 274], [57, 82], [15, 40], [114, 139], [6, 31], [6, 31], [137, 162], [14, 39], [10, 35], [95, 120], [55, 80], [89, 114]]; loss = 0.316406 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/num_gs', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/scene_scale', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 19/? [00:13<00:00,  1.37it/s, v_num=bz2c, train/psnr_probabilistic_train step 20; scene = ['4581bdd74b6ee0a9', 'd56e9c764f637e1c', '1f9574f1e0c1c2b2', 'd7e2a0e5718dc803', 'b2186a798ad4fb49', 'db1723893a3a6277', 'b3edac66be582f84', '6546295c3cec469a', 'b3232677872b2974', '2f27acaf69f3c7a7', '486673d483fe843a', '488358b53866b7aa', 'eedd397acee4cb4f', 'c18ea6a77949e219', '5140967fcd51092e', '08234c2181c4db46']; context = [[6, 31], [26, 51], [45, 70], [209, 234], [31, 56], [9, 34], [30, 55], [247, 272], [58, 83], [0, 25], [62, 87], [10, 35], [113, 138], [92, 117], [43, 68], [162, 187]]; loss = 0.331453 low_pass_filter = 10.000
+Epoch 0: | | 29/? [00:20<00:00,  1.44it/s, v_num=bz2c, train/psnr_probabilistic_train step 30; scene = ['6dd4b348223c880c', 'dff181c503e5c202', 'fd4c9fb0fae56ccd', '66c3771cf7cb96c2', '75790c62002de4f2', 'c7e94713ef1f1ace', '0cbf1454a4391523', '9bb0448e7cb2f733', 'a8cef6a851fbea3c', '9c763036f1d84e18', '7759eccd562145b9', 'a597e94e50eb917a', '67e69f3a4701dfd8', 'b91dfcb3102d1482', '5a2ad43377e9d18d', '0e4916077d990d1e']; context = [[4, 29], [102, 127], [26, 51], [247, 272], [39, 64], [16, 41], [129, 154], [10, 35], [38, 63], [101, 126], [8, 33], [111, 136], [10, 35], [76, 101], [52, 77], [21, 46]]; loss = 0.303841 low_pass_filter = 10.000
+Epoch 0: | | 39/? [00:26<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_train step 40; scene = ['af9d978c9fca5752', '55cf2bbe9e017ea4', '437474fa4196e1b7', '0207b0ec0cc851f6', '1684dbfef3d182a9', '512cd4ea0fef0198', 'd1772c09b4b6d95f', '629f07baec1cbad5', '99e9f09b456ef23e', 'd066040e500bd58b', '7e7b53917bcf337b', '0066ed3711a7240d', '0f0bbb6510ca3018', 'c49bd62c183dd925', 'd7ca14c855d58875', 'b07a54eda9cdaccb']; context = [[175, 200], [3, 28], [122, 147], [24, 49], [17, 42], [35, 60], [53, 78], [110, 135], [31, 56], [13, 38], [54, 79], [71, 96], [37, 62], [11, 36], [45, 70], [106, 131]]; loss = 0.277093 low_pass_filter = 10.000
+Epoch 0: | | 49/? [00:32<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_train step 50; scene = ['c1bcd66d5a2d51b6', 'ea5a39bd855fdd91', 'f3135a7492955a8a', '9794641b7e015578', '5041701491a4b930', 'c2fd6e5ebbff57b3', '604b0838aa3321c5', '86d9acf576d8ec0b', '2dd4d2a252e34405', 'fe1cf5504260d4ea', '7e58b6857e275547', '7dfeaf87a8145697', '96b163f47895beee', '83c9baf5bbc941ee', '23d17b97a9d3674e', '36846d6fa22bba62']; context = [[113, 138], [33, 58], [127, 152], [125, 150], [124, 149], [27, 52], [26, 51], [157, 182], [30, 55], [3, 28], [132, 157], [8, 33], [115, 140], [106, 131], [69, 94], [135, 160]]; loss = 0.262072 low_pass_filter = 10.000
+Epoch 0: | | 59/? [00:39<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_train step 60; scene = ['d8b22b4eb5e28e71', '68e586537c71a833', 'ad24c22967e79c48', '5a6fefaa5fc9fb2b', 'c0e3203eaee46f03', '8e16c8644efeec52', 'b0acc8ab51920ba2', '03d05f69a1cab4f8', '4017d144a78a75f1', '729acff96609b269', '4c9fcaa404a29913', 'c963dfce16d61584', '45a2984105a2b69b', '88758635b5ba64ab', 'cc68efcc2b123690', '5d77d10032b5d35d']; context = [[88, 113], [101, 126], [43, 68], [15, 40], [44, 69], [6, 31], [14, 39], [129, 154], [125, 150], [40, 65], [161, 186], [0, 25], [12, 37], [20, 45], [161, 186], [17, 42]]; loss = 0.277460 low_pass_filter = 10.000
+Epoch 0: | | 69/? [00:45<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_train step 70; scene = ['73ecf847059621f6', '6a60c963307639aa', '83f9d8c6d307248a', '6df172462e2547f2', '8dd73309b133b8bf', 'bbbded1a277dd24f', 'c7af45d1166fe6cb', 'f5db0bad3ebe96e3', '57a51e1d7e1b80fe', '5223b08ead451ba3', 'f6894181dbf11e40', 'b24a35dc8884076b', '73b27f4f150327af', '932af4bdfcb8093b', '7bdeaa5ddcb319c8', '6e1a2b5a4f427345']; context = [[5, 30], [0, 25], [18, 43], [133, 158], [47, 72], [5, 30], [23, 48], [2, 27], [51, 76], [100, 125], [0, 25], [19, 44], [41, 66], [178, 203], [1, 26], [59, 84]]; loss = 0.228179 low_pass_filter = 10.000
+Epoch 0: | | 79/? [00:51<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_train step 80; scene = ['d628ed946998f4f0', '75335793f866b96d', '634b28ad470cf75a', '04285c62eb6cc081', 'cd2d9ac2a7223cf5', '3aba252e263e7585', '3d90d586b33daa63', '86dfadf971ff9ff5', 'a9936b77895f33b3', '06a16655c8e8ad9c', '1e56c6d50221c84b', 'c5a85f680c4f9c9c', '92bc1a5a284f9e88', '186b6487fea252ab', '6cbbe9075b0d2138', 'fb7776636c2a50b5']; context = [[24, 49], [28, 53], [74, 99], [44, 69], [104, 129], [215, 240], [72, 97], [87, 112], [20, 45], [25, 50], [122, 147], [50, 75], [166, 191], [37, 62], [104, 129], [36, 61]]; loss = 0.182855 low_pass_filter = 10.000
+Epoch 0: | | 89/? [00:58<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_train step 90; scene = ['48c804cdf23efb75', 'bdf562da5cc7475c', '31240f5e4b708132', '723f94d150ab09f2', '296063ceba643c07', '6e5505414fd63528', '5a9672017ab85918', 'a67e709b68b7163d', '7e34a8e57c879465', '18aecc2e66ae3112', '0160565c91c8654b', '692a87e2b7ebc8be', '2107f0bc2f004d1e', 'c25b314716aa6b10', '0779daaad5fd0ef7', 'e6cfdadf048f70a1']; context = [[8, 33], [0, 25], [91, 116], [248, 273], [100, 125], [50, 75], [64, 89], [66, 91], [29, 54], [43, 68], [36, 61], [4, 29], [55, 80], [0, 25], [52, 77], [55, 80]]; loss = 0.167867 low_pass_filter = 10.000
+Epoch 0: | | 99/? [01:04<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_train step 100; scene = ['b34bb5f53856d34f', 'd110e65023ed8364', 'cb155c027de7a145', '7d9fc989aa9c6149', '6d51b12343179f02', 'cc2226bd7f8faab6', '84f60ca2323e9654', '4e1c106e3effe9bc', '042ddfb169d6bbdb', '342099a48847f4f6', '6ea0ff32c8ea695c', '38a6a1ac5db4c9ca', 'f7a74e0520117195', 'a931b461d6725481', '786cc15dbe60b001', '94841d39236a40ee']; context = [[0, 25], [25, 50], [126, 151], [97, 122], [3, 28], [19, 44], [17, 42], [63, 88], [26, 51], [12, 37], [3, 28], [117, 142], [8, 33], [79, 104], [68, 93], [28, 53]]; loss = 0.168005 low_pass_filter = 10.000
+Epoch 0: | | 109/? [01:10<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistictrain step 110; scene = ['da0fad2070e6c0dd', 'e17208be486cc7a7', '2b15c8704aaa87ba', 'dbac9841157230ce', '0f62ec5c20682f71', '1251592126203554', 'bd99ad1d47bb9005', '04b859d3d26366de', 'f4b06ed6e137cd5d', 'b1de49fea231bb59', 'f92964360d184d99', 'a0b45bab75d35ee0', '3d9f44d7bdd0796d', '42000d5a83b48ee4', '625e3aa0ff734714', 'd2dd3b46d9903314']; context = [[21, 46], [125, 150], [41, 66], [225, 250], [217, 242], [8, 33], [76, 101], [4, 29], [168, 193], [20, 45], [5, 30], [13, 38], [36, 61], [45, 70], [57, 82], [132, 157]]; loss = 0.123136 low_pass_filter = 10.000
+Epoch 0: | | 119/? [01:16<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistictrain step 120; scene = ['65c4746a5f0a43b7', 'ce3ff34509148f55', '2b83ce9b23c5ab7d', 'd729044c166a455f', '84cede8286dcf69b', '3ba79e4a3499b7bc', 'afc970648a89e04a', '5a040cbc8d351ff7', '8278bfd97661dc65', 'bf37ac6cc15e90c4', '2bf30153b26e2060', '814f74b9c3c4d094', '0a609dca037e83a9', 'eda299b8ec5d56ff', '82b8b4c5e983729f', '122d66974706d78c']; context = [[3, 28], [2, 27], [41, 66], [173, 198], [70, 95], [70, 95], [79, 104], [159, 184], [1, 26], [76, 101], [45, 70], [31, 56], [8, 33], [64, 89], [155, 180], [4, 29]]; loss = 0.108345 low_pass_filter = 10.000
+Epoch 0: | | 129/? [01:22<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistictrain step 130; scene = ['7898a828b7203ca4', '6814d469f5cec50d', '68a4606ce0150ce6', '70a343bffc90f4aa', 'c31cf070ae1a75d4', 'e734e244799d0bfd', 'cb734fdc69e9900e', '89e3bea1f3d2137a', '12f1a55c604c66b0', 'f8532bb5eca0e29d', '174ebd189316bd92', '0087cf27aa9e6167', 'be0f77ad0082e93e', 'db6cd90de8fee2ff', '739932d092e06fe2', 'b703bdb45d172fe7']; context = [[32, 57], [78, 103], [64, 89], [45, 70], [73, 98], [143, 168], [24, 49], [132, 157], [239, 264], [25, 50], [39, 64], [32, 57], [221, 246], [60, 85], [68, 93], [72, 97]]; loss = 0.092516 low_pass_filter = 10.000
+Epoch 0: | | 139/? [01:29<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistictrain step 140; scene = ['c206b7bad4e2bd69', '7a82d470ad5d5855', 'c08a5ec56e05c975', 'f928d960cbfae15a', '6c7379b0be88feb0', 'cc2ee5b080780c5e', '93f6c9634e5ad304', '631caf62e5167b66', 'eeb55a861130a21d', 'a47a167922cfc6df', 'd4a97e0a52dc8cb7', '8f110752082f188c', '8b671df4b3b155bd', 'd90000318f9a8442', 'dd3bbf1f7f832e83', '1786d6d8c1da703e']; context = [[19, 44], [48, 73], [108, 133], [48, 73], [250, 275], [0, 25], [1, 26], [76, 101], [18, 43], [55, 80], [53, 78], [21, 46], [38, 63], [56, 81], [3, 28], [38, 63]]; loss = 0.074639 low_pass_filter = 10.000
+Epoch 0: | | 149/? [01:35<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistictrain step 150; scene = ['abab9d091104123a', '58f47cf52ac6cd8e', '496af891d9e2079c', '5b14f5577d88ef9d', 'd317148296e2c9e7', '9fde0d7ec4b06f6c', '225e7ec65db4fff6', '01e4bd13a70c49ac', 'ff6e099a51781a35', 'd354f81b3f57bc62', '27d205da1f0f929c', 'bf2b8a204cdeb69f', 'e5812066c518f8a2', '1d035bb092fa4113', '5da7fa4de4cc06e1', 'f5ac33bf99394312']; context = [[43, 68], [217, 242], [3, 28], [62, 87], [17, 42], [37, 62], [4, 29], [1, 26], [136, 161], [36, 61], [16, 41], [98, 123], [2, 27], [33, 58], [2, 27], [68, 93]]; loss = 0.072773 low_pass_filter = 10.000
+Epoch 0: | | 159/? [01:41<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistictrain step 160; scene = ['b95ffd3039761a94', '43c4c89b3414a0fc', '956df4359a5b3ced', 'bd077bfc739857cd', '252aa7d6ffb0422d', '14af89bdc75382ab', 'fc8deaf763806c66', 'c236887ce05e2c32', '20f3647b9c4356a9', '3abd72e83aac22b2', 'dd9067bcff6354f9', 'ad75e36b74f6b033', 'e0c462f81b501a0f', '0b6bc1cddcc503af', 'e68bf4919dbd4e29', 'a4cc10dede2eba84']; context = [[44, 69], [49, 74], [174, 199], [208, 233], [44, 69], [54, 79], [1, 26], [7, 32], [59, 84], [8, 33], [6, 31], [144, 169], [191, 216], [7, 32], [134, 159], [19, 44]]; loss = 0.057659 low_pass_filter = 10.000
+Epoch 0: | | 169/? [01:47<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistictrain step 170; scene = ['d93de5f6c62c01f3', '3e68b6b7bb281e94', 'cb09920c02a2b6bb', '506fed97ede5adbf', 'fc8aa2c335c15eb9', '25bd820746058fb5', '37578ce7a19d91aa', '9569fcfe82105f38', '70285f05516940b2', 'c7d4d5977857ba5a', '74c2c2c5287346b6', '95bdea61f4c80624', '2bfd7a62ae051639', '716290f59cec96d4', '5460e2c24ab3b848', '9093c09d9919a5ee']; context = [[65, 90], [8, 33], [17, 42], [45, 70], [138, 163], [72, 97], [53, 78], [58, 83], [9, 34], [144, 169], [62, 87], [46, 71], [60, 85], [69, 94], [10, 35], [22, 47]]; loss = 0.059897 low_pass_filter = 10.000
+Epoch 0: | | 179/? [01:53<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistictrain step 180; scene = ['59e55e5b179a50ba', '2ed33656a13829b9', '04d4fee4c437c04e', 'ea0ae256b3a02a33', '7357769abf6e270a', '2243808dcedf81c9', '7572cf78733b5e04', '8e15c3ce3989dc4f', 'cf78433dadf58175', '0832ad3a8f7c0ffc', '12f55e64a1f460c7', 'afba4de2c78eb96f', '7f172f67f7c6fb69', 'cb797cd30542e55c', '88d67718b0e0e025', '1e100eeadbff952c']; context = [[40, 65], [30, 55], [0, 25], [36, 61], [21, 46], [93, 118], [131, 156], [27, 52], [54, 79], [13, 38], [17, 42], [74, 99], [14, 39], [6, 31], [13, 38], [67, 92]]; loss = 0.054943 low_pass_filter = 10.000
+Epoch 0: | | 189/? [02:00<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistictrain step 190; scene = ['dd8e5b4c898f822d', '3645515a07f57fde', '198d644c5230422f', '60c37b519a01205d', 'ee34918918062668', '629a4530b18dc456', 'dd1a25142bac8d29', 'f44cc142d9796ff7', '7a6bd2a4d2688ce2', 'cbb91d90ddc6d3fd', 'c93c5abcaf89dd0d', 'a5d23080c6b858b0', '39cafa06c9c431dc', '3d2772568f41a9b6', '7a564b61233c3fca', '73dcd9322253689e']; context = [[29, 54], [13, 38], [43, 68], [4, 29], [3, 28], [67, 92], [47, 72], [117, 142], [15, 40], [16, 41], [17, 42], [31, 56], [80, 105], [89, 114], [108, 133], [5, 30]]; loss = 0.048180 low_pass_filter = 10.000
+Epoch 0: | | 199/? [02:06<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistictrain step 200; scene = ['1087329ad17df204', '5eca48d9febf5e70', 'bf4e0656a420aa9d', 'eff98653337775a8', 'a2ae856e2faf3097', '4eb73e73ca77fb11', 'a3214062cd1950df', '8f5e074629cedd06', '5be8385a860cd167', '21d88b442db5f97f', '282c3c958edab940', '8c2000c91596ea0d', '0339818f120ea7ab', '3738997e842ffe36', '281928f66836f023', '6dd5bd6445ada623']; context = [[40, 65], [22, 47], [25, 50], [29, 54], [15, 40], [42, 67], [219, 244], [8, 33], [22, 47], [23, 48], [4, 29], [59, 84], [13, 38], [20, 45], [8, 33], [133, 158]]; loss = 0.050680 low_pass_filter = 10.000
+Epoch 0: | | 209/? [02:12<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistictrain step 210; scene = ['5498b21b7b980c1f', '2abe932fd9d76528', '86f3bbf2864c65f0', '2ae7890bd8231e93', '8fabc39ad677dece', '806af4d2d935738b', 'd78079ff1a0f045d', '2b132bbbc4b720b0', 'b551bb88ffea8c1d', 'b569a2f2d95abd90', 'a017de2545c81e26', '63636dcaf9b864e6', '874a7d92f2302f58', '4923656d2871e39c', '901e47c506f0d2c1', '7e7d7e538815535b']; context = [[24, 49], [36, 61], [38, 63], [234, 259], [68, 93], [118, 143], [46, 71], [2, 27], [106, 131], [133, 158], [68, 93], [15, 40], [1, 26], [225, 250], [24, 49], [1, 26]]; loss = 0.048964 low_pass_filter = 10.000
+Epoch 0: | | 219/? [02:19<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistictrain step 220; scene = ['09db4e6feaea4714', 'f38d945b92c6e0e2', '6ba12d097566dbdb', '835a96da6173dd7e', 'ec2e3374601803b6', '458f38fa2ef28e63', '95cc4a86e6e8e823', 'a3687e6319f47730', '2395ecfa5327b13a', '4fcec6671d77987c', 'e308bb209941c309', '3f53a38d77a20a18', 'aad9a3b6cf7ad971', '68acc2522f558367', '6bd6d8270eee0b81', '59af7a148f0573b3']; context = [[36, 61], [236, 261], [35, 60], [88, 113], [38, 63], [84, 109], [44, 69], [41, 66], [11, 36], [232, 257], [3, 28], [26, 51], [43, 68], [190, 215], [71, 96], [6, 31]]; loss = 0.049106 low_pass_filter = 10.000
+Epoch 0: | | 229/? [02:25<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistictrain step 230; scene = ['d7b308d30c7e7630', '8dd198d245a49bd5', 'b52203577bf5ab66', 'a025554e94654c2f', '590d0d46abee63bb', 'de1181d6c642e883', '558684b06f159a0a', 'd6dd35d96ec83e83', '443d63805b3fd4ef', 'b877fceeed5942d8', '125318c9856ce742', '8049eef0ee607a97', '07278d9d2d1e4e6f', 'a394ce027ea94a26', '2392a428453da5e7', '92db89e50720951f']; context = [[42, 67], [58, 83], [26, 51], [6, 31], [40, 65], [115, 140], [10, 35], [19, 44], [107, 132], [52, 77], [19, 44], [15, 40], [210, 235], [5, 30], [228, 253], [3, 28]]; loss = 0.049028 low_pass_filter = 10.000
+Epoch 0: | | 239/? [02:31<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistictrain step 240; scene = ['a026ab82720e6363', '1c30239815f91334', '510c5beb7e6a13e2', '29f66f7d00d5a958', '824a7bbb922965f5', '053e55bc3666cc69', '2a9baa599c00613f', 'aa7d34a0930aaed6', '86961a46929cf91d', '8410b8c23b2c737d', '6789b17ebe4606cd', '12e0d4265e7789b4', '0a91685401b56e22', 'f6a0556897b15d6b', 'd83f2d1ffd5fd125', 'b281bf93286a0573']; context = [[69, 94], [74, 99], [29, 54], [78, 103], [10, 35], [51, 76], [197, 222], [7, 32], [38, 63], [30, 55], [94, 119], [8, 33], [53, 78], [33, 58], [42, 67], [204, 229]]; loss = 0.046815 low_pass_filter = 10.000
+Epoch 0: | | 249/? [02:37<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 250; scene = ['08127a499408b79e', '811e5be9bf8e26ca', '15cd8f43f173d0e3', 'f1f5e26cb49fd2a5', 'e1fbf58a49076d36', 'cae0139a521aa052', '19f950b6900d6176', 'eb54a14f301214c4', 'ec1090f15ec68a1e', '82347d56a4a55c27', '3e4608ca989fdf39', 'fee08c59f9bf59f8', '579a16674dbb8aad', '263c8f62a1f40965', '06beb74df9f499ab', '6fcb6588a79e44d1']; context = [[4, 29], [99, 124], [9, 34], [0, 25], [5, 30], [118, 143], [164, 189], [14, 39], [30, 55], [137, 162], [6, 31], [15, 40], [31, 56], [69, 94], [120, 145], [55, 80]]; loss = 0.048998 low_pass_filter = 10.000
+Epoch 0: | | 259/? [02:44<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 260; scene = ['7239b2a7554c75fe', '5947dd1e10a23b7c', 'fea1c01a1b763526', 'f0ae1c0ba950cd70', 'b6e320aeec7c0ba2', '3154710017640b49', 'ef1fa8ad46c8a424', '339a2912e861d13e', 'b35aad97d393ba2b', 'abe1b540708162f2', '14f5326ed459f92f', '42832be11a0bf2b5', '8c7d25a2c34e0402', 'b5a4e0980cd9c9f6', '108d63b0e7a60f8b', '5bb09c5a46c372d6']; context = [[57, 82], [57, 82], [9, 34], [16, 41], [25, 50], [10, 35], [51, 76], [38, 63], [9, 34], [4, 29], [31, 56], [67, 92], [71, 96], [9, 34], [18, 43], [38, 63]]; loss = 0.044630 low_pass_filter = 10.000
+Epoch 0: | | 269/? [02:50<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 270; scene = ['1a20aac3a317d67e', '4705db5f75ab548e', '0a3c5ae29bf2cb59', '231964ce719fed4c', '62560eba3ba6f77a', '41986a305a19ca1d', '9beaef3924b260b5', 'c63b37ec347f0d0e', '175e1611df44964f', '944e92ff3fea78eb', '52cf0ad63b78dd22', '4993c13bd0a11f24', 'ea97e5ae55e56208', '97caecafbfa7f1f6', '826d8ad6169872ba', 'a95dacbd3ea3db36']; context = [[130, 155], [37, 62], [5, 30], [0, 25], [117, 142], [61, 86], [3, 28], [10, 35], [172, 197], [99, 124], [74, 99], [47, 72], [44, 69], [71, 96], [5, 30], [59, 84]]; loss = 0.044957 low_pass_filter = 10.000
+Epoch 0: | | 279/? [02:56<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 280; scene = ['d70347e4bc080e50', '8dda78cf108c2d57', 'f6c2d79ed734958a', 'e3af760082725e5a', '37f2b83c868084df', '5627575be8e76e1d', 'eef721bc7b9f4a92', '3046f14dad8f19f2', 'cf1b9b9835b3d061', 'f0cd80abbd204b40', 'c65e2e20eff15b15', 'f1657c6128d2b332', '20a321699aab25aa', 'b5476504de893f96', 'fc36c85463412c38', 'c25194b2a961a96a']; context = [[9, 34], [134, 159], [6, 31], [6, 31], [214, 239], [67, 92], [10, 35], [18, 43], [83, 108], [12, 37], [7, 32], [5, 30], [10, 35], [104, 129], [76, 101], [13, 38]]; loss = 0.043202 low_pass_filter = 10.000
+Epoch 0: | | 289/? [03:02<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 290; scene = ['5b756acd27bfbaa9', 'dd6b426f383d86cf', 'c699a0c7b862e041', 'bd814603b3e38fb1', '774047a695fba862', '3d86d5c255821277', '0fc2d2e45645813b', '41646b4cab9e19e5', 'ab749461af5d5717', 'f22b0491bc90af5b', '67b0fe8f8f97dae4', '257c31a64a016d24', 'e81c3eda0310ba4e', '116dd0818dd9560e', '3a75651c2d3168a1', 'df11b2823a464dda']; context = [[27, 52], [14, 39], [30, 55], [148, 173], [17, 42], [30, 55], [84, 109], [80, 105], [12, 37], [30, 55], [191, 216], [24, 49], [0, 25], [41, 66], [36, 61], [6, 31]]; loss = 0.044731 low_pass_filter = 10.000
+Epoch 0: | | 299/? [03:09<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 300; scene = ['1cb3ecb30e3e9d0e', 'f0b193a824ced787', '344dc121e7a7866d', 'd5c7ba9e0a7956ad', 'b7895467f9574841', 'fb526fa7f45a3ae4', 'cfeaf7156a508877', '5692ffde04b99f08', 'ef5c5a590e9d175d', 'a530c8b4fa89b84e', '572f15c53545baaf', '6feb82e28fe110f9', 'debd6aa3bae1d248', '356ba7e96c3d9426', 'c46f3f1ddfd8533a', 'd6bd81b4a34ac00d']; context = [[65, 90], [75, 100], [71, 96], [19, 44], [66, 91], [0, 25], [30, 55], [127, 152], [15, 40], [10, 35], [96, 121], [39, 64], [197, 222], [8, 33], [19, 44], [184, 209]]; loss = 0.042946 low_pass_filter = 10.000
+Epoch 0: | | 309/? [03:15<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 310; scene = ['347a65acdefb3ab8', 'b7aeefdcf8c006ec', 'ca04de3c55cd1ca0', '53d2992e5899c3d5', '84359e8e847ad96b', '8625891ed4d0cf38', '5c4acbcb2726ae77', 'ab88a6b3b387dac9', '03a09832e1472391', 'fecda62970485d2b', '882350c0ebe1872a', '12f629409a280733', 'b92f865fbde65b1d', '8dbf79bf8fb56328', 'f81c46fec218b506', '99a11af3dcb2bd13']; context = [[13, 38], [210, 235], [122, 147], [20, 45], [54, 79], [88, 113], [70, 95], [110, 135], [45, 70], [4, 29], [39, 64], [21, 46], [0, 25], [7, 32], [47, 72], [248, 273]]; loss = 0.043092 low_pass_filter = 10.000
+Epoch 0: | | 319/? [03:21<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 320; scene = ['73fef5139753e974', '295a4324517ee9bd', 'b09e289b3dc5b7f4', '09223c50d5a39b7a', '2059d1d6c79bc51b', 'db3d51c462a54a7e', 'f7d6cec0bcd35042', '58901334e2d813d9', 'bd8103bcb04d32e1', 'd0ee747ebdd26d7f', '993a85e1b690e97d', 'f26e8a72f69b6153', 'f26c35b6e5dca2b9', '89fbc4149a5d7348', '895fe07be01436f1', 'afefafce8f467d96']; context = [[20, 45], [106, 131], [17, 42], [125, 150], [4, 29], [5, 30], [15, 40], [25, 50], [29, 54], [112, 137], [116, 141], [1, 26], [75, 100], [65, 90], [2, 27], [48, 73]]; loss = 0.039697 low_pass_filter = 10.000
+Epoch 0: | | 329/? [03:27<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 330; scene = ['1835f16e1c0b9795', '301fc1c9a4462dd3', 'ea4146e3386ff1ac', '2475b5436e129d89', 'a11880fb50e63985', 'bcd63850409a4c42', '0636f8d5854771ca', '18288a196b6403c0', '0f2eebc01e8dcad3', '4c326f63354ed371', '0684c9b9769fccdf', 'fe1fc09277b8a000', 'c62b22de6a7495be', '094724dd912fed9c', '5b9edc356515b2c4', '103119c8e78252e0']; context = [[12, 37], [33, 58], [16, 41], [73, 98], [1, 26], [23, 48], [27, 52], [39, 64], [66, 91], [39, 64], [5, 30], [32, 57], [34, 59], [13, 38], [104, 129], [39, 64]]; loss = 0.041198 low_pass_filter = 10.000
+Epoch 0: | | 339/? [03:34<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 340; scene = ['50d6d19613455b86', '29a47ea47b953e37', '485e4c3a23558aab', '129bba31edcccb2b', '4558408811e71246', 'f39f139a01476176', '0fa24a96d121319d', '45ab71fe50becdee', '8d89803ec0446d0e', '824e5d9fe8f9fe1d', '6549544819976e02', 'f8961efbf6e73ce5', '4c76d28a44171812', 'c9fc763ae456cd6f', 'aa69d5f0ef278bcc', '36e2f4d1de6396fb']; context = [[23, 48], [2, 27], [38, 63], [73, 98], [59, 84], [73, 98], [34, 59], [3, 28], [113, 138], [35, 60], [14, 39], [58, 83], [36, 61], [63, 88], [203, 228], [49, 74]]; loss = 0.041850 low_pass_filter = 10.000
+Epoch 0: | | 349/? [03:40<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 350; scene = ['2821faf83e638b87', 'f1c0d2a78d066bc0', '6494828a237a7a69', '1849a41079039a3a', '0762d4d82b19cc37', '64fe2e10e340ebc4', '6a2a2ff9c392fefe', '22b1b9bebc0a0520', 'a270004198eddd9b', 'ad6fa2297bbfa91c', '2c0939fba79df7ad', '4a3ff4b7939ec268', 'a5c9cbbc7e1d69a1', 'dbb7151643a69e0c', 'f1cbd0e2909c8ce7', 'c537c888e9db11fb']; context = [[61, 86], [17, 42], [71, 96], [15, 40], [94, 119], [22, 47], [23, 48], [61, 86], [169, 194], [2, 27], [40, 65], [104, 129], [27, 52], [205, 230], [150, 175], [21, 46]]; loss = 0.040365 low_pass_filter = 10.000
+Epoch 0: | | 359/? [03:46<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 360; scene = ['1c87d4883f49da92', '8d75d6f051b8f52e', '2a2e3da0444d2ecd', '9c70b01b66e2fabc', '73d493ff94578c55', 'ffaaeea472f10ee2', '3dc0b3372b2e13dd', '91bab928c4639b09', '6551944a93afc0d0', 'c6fa4e41f75c901c', 'f1a5f8d83353bec9', '8260ddb8f461c1fe', '2b0182cffdc9433b', 'bbaa8e8136f8e184', '6e743856adbecde2', '71fc22ad4a04cf9a']; context = [[23, 48], [120, 145], [74, 99], [133, 158], [15, 40], [51, 76], [96, 121], [44, 69], [16, 41], [41, 66], [6, 31], [102, 127], [123, 148], [36, 61], [32, 57], [0, 25]]; loss = 0.041984 low_pass_filter = 10.000
+Epoch 0: | | 369/? [03:53<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 370; scene = ['ad127c962ce28e63', '453abcae519671ba', 'fe1e321d59a67f06', '32e35693a999fb23', '6bef29b74b93e80a', '1b24cf4a586a15e7', '56db1d6fc942bc90', '7194b8d204f4a0b6', '4bbb9fadc993969a', '4e8e3034d0aa307b', '6acaceae77f75500', 'd91a42243deb04e3', 'a1e59c09aca976c4', 'ff87c19446c6325e', '0aa2d2048c581dff', '9e1b58ec292d6690']; context = [[20, 45], [27, 52], [3, 28], [212, 237], [24, 49], [87, 112], [110, 135], [78, 103], [2, 27], [172, 197], [154, 179], [167, 192], [59, 84], [23, 48], [145, 170], [33, 58]]; loss = 0.042324 low_pass_filter = 10.000
+Epoch 0: | | 379/? [03:59<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 380; scene = ['e91f5d416c3d2843', '3e80e30faedaa4b6', '674ac829bbf8f50c', '8d5c76362cfbd82e', '1adadfa4ed535f3b', '9037a2323c37f9ef', '102e45db9a58004c', 'eaf4b595a888214f', '9e80f805fd6c7b93', '27abdcbddd0180dd', 'c3062cb8fc7a0efd', 'b46547428ff2b071', '544eb83e4b6b4fc7', '321addf5693a66aa', '662bb59ab9f410a3', 'fe9c6c63360e43c2']; context = [[9, 34], [47, 72], [22, 47], [81, 106], [39, 64], [14, 39], [9, 34], [21, 46], [53, 78], [1, 26], [50, 75], [18, 43], [96, 121], [121, 146], [66, 91], [12, 37]]; loss = 0.044056 low_pass_filter = 10.000
+Epoch 0: | | 389/? [04:05<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 390; scene = ['2702020b31c28210', '79a763e5b64e4f45', 'de783427084a7fc8', '3731e5cc943c4ec0', 'cc80de7991d73ab0', 'b71a0cb9f4143a6e', 'bb28a1c09df8a484', '59ae8e2d2504d760', 'cc061ca8d139f499', 'c2162040f6db4d2f', '4fe4fc34f41764a4', '4858dc374c4fca93', '0069fbbde9f77bf8', '45a74c68ea76c91e', '83d4b54aeee30945', '2b58d1bbfac7511a']; context = [[62, 87], [7, 32], [22, 47], [22, 47], [45, 70], [101, 126], [88, 113], [101, 126], [48, 73], [86, 111], [139, 164], [27, 52], [121, 146], [26, 51], [7, 32], [8, 33]]; loss = 0.038557 low_pass_filter = 10.000
+Epoch 0: | | 399/? [04:12<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 400; scene = ['efedd66257d1adf0', '34bd9723166c9978', '48c2b63b452555af', '94323b4cd6a95a9a', '80b044471fd710b5', '8f243590d88e28db', 'b2c65f94460ad653', 'aecfc6c8ebc6c15e', '8839e65c6f6bb394', '1fe4a6141969e60a', '509210a9f0f87e8f', 'fceff078ea39c8b4', '17a43ba9a8843508', 'badfd7edf4b25b37', '771c99720c383982', '74e22e2724cb0a9b']; context = [[29, 54], [52, 77], [47, 72], [189, 214], [29, 54], [75, 100], [97, 122], [2, 27], [51, 76], [36, 61], [76, 101], [34, 59], [18, 43], [240, 265], [21, 46], [132, 157]]; loss = 0.037925 low_pass_filter = 10.000
+Epoch 0: | | 409/? [04:18<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 410; scene = ['9fce6892002b07be', '1f4f12476af5c871', '4aef5d4b9287e08a', '8db516061dca4e75', '3b560e3220235444', '78bfcb719521a42d', '5c907b99b4003976', '5b86537af9058e2d', '2db04fecf76095b6', 'c05a15168d4c3332', 'e24323b82d0671c2', 'd2ad156576e078cc', 'aa4938d7f2fd0a1d', 'e4fc6fa4bbd6efa1', 'c05fd148d2da6d26', '72d7ff49071fa801']; context = [[88, 113], [8, 33], [18, 43], [18, 43], [0, 25], [82, 107], [183, 208], [64, 89], [6, 31], [54, 79], [24, 49], [3, 28], [137, 162], [4, 29], [59, 84], [74, 99]]; loss = 0.040713 low_pass_filter = 10.000
+Epoch 0: | | 419/? [04:24<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 420; scene = ['53b47cb89ee91160', '7220014865edc948', '9296168b518b720b', 'cf14d94f41c6e825', 'd159debd3f3ac5ec', '12fa5b60a2ba9d8f', '64ae75e57c6aa0a4', '430d79082d999336', '6f9088cd9c755fb0', 'c654f15dda47ab5d', '1a0af7635585892a', '3729cab2867e7a06', 'ea51f71d8dc1e7b2', '7e6d320ac85bd57c', '20b2bb20840251c6', '5fcab1686e38f61c']; context = [[94, 119], [223, 248], [26, 51], [13, 38], [1, 26], [37, 62], [136, 161], [67, 92], [40, 65], [9, 34], [53, 78], [12, 37], [28, 53], [20, 45], [43, 68], [19, 44]]; loss = 0.038961 low_pass_filter = 10.000
+Epoch 0: | | 429/? [04:30<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 430; scene = ['1c7d5cf7a1e08139', '82d896f5142ee6dd', '764206404e317c51', '61c9b6540aaa5884', '11b74ef19465ab45', '409b268729c0a86d', 'd1f583b4b527fefe', '6570d802b2f69e4b', 'e46623a7d46b50d6', '12503cac61ce326e', 'adff1244e7025d77', '014d6d0fdfb6393e', 'a8dd4730a65f88fd', '08f56d6e5878317b', '723db63d24c84d1d', '8032cb2f4ac9e342']; context = [[7, 32], [72, 97], [15, 40], [36, 61], [2, 27], [14, 39], [77, 102], [222, 247], [12, 37], [150, 175], [54, 79], [15, 40], [30, 55], [16, 41], [90, 115], [56, 81]]; loss = 0.044944 low_pass_filter = 10.000
+Epoch 0: | | 439/? [04:36<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 440; scene = ['cee46b2523a45a59', '78f54b16f8204c3a', 'ab964b6b003ae5e8', '3a192914348dbd61', 'b1473420a788c688', '4a43e0185c382de7', '3e5be575ccb0f6dc', '0f8ad14bb4088d81', '4af74f4ff7c54a9b', '31f279e32e497154', 'dc077856d79ff04c', '59689345260b0920', 'c7876e0ce303f492', 'ede1a18c89abe3dd', 'c95f1f846f48d813', '739b8ee920a178e0']; context = [[87, 112], [44, 69], [10, 35], [33, 58], [4, 29], [66, 91], [100, 125], [122, 147], [207, 232], [74, 99], [53, 78], [65, 90], [44, 69], [37, 62], [124, 149], [117, 142]]; loss = 0.034217 low_pass_filter = 10.000
+Epoch 0: | | 449/? [04:43<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 450; scene = ['0be2e01e27a683b0', 'a0e4abe253996ea2', '0120521cfa518c34', 'b2a34524405f79ff', 'a1b7ad951995dadd', 'c338cd1e105943ae', '913f87b9648dda52', '3b4d6384abe5561f', '2dd8ae2b71457753', 'f001500643d191d6', '124c9f059bef0478', '23f93bec3ac52e4c', 'f1e8c1b674d290ec', '9bb10fc846b3d2b1', 'fbae7bcc4ca44675', 'ec1dcf652eae675d']; context = [[16, 41], [38, 63], [36, 61], [87, 112], [3, 28], [24, 49], [44, 69], [63, 88], [44, 69], [103, 128], [161, 186], [109, 134], [39, 64], [122, 147], [18, 43], [51, 76]]; loss = 0.042737 low_pass_filter = 10.000
+Epoch 0: | | 459/? [04:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 460; scene = ['22062ed897320134', '8b8f7cd56fb6a696', '11c47219c153c014', '20fa2a9557a949a9', '402071c2b1550820', 'f8a24a1cae5ae861', '591277853eb83777', '71b9b21424e1cc97', '1d4ffe48542eb14b', '6c5d6b6468bc196d', '94f4529096d17f25', '130e2bd2cf4084d7', '7bc09504a215e592', '98fa652433a9a8b7', 'acea865775134a18', '392b692c8c3f4e5f']; context = [[8, 33], [2, 27], [120, 145], [25, 50], [163, 188], [232, 257], [62, 87], [44, 69], [172, 197], [250, 275], [22, 47], [106, 131], [178, 203], [42, 67], [17, 42], [71, 96]]; loss = 0.040604 low_pass_filter = 10.000
+Epoch 0: | | 469/? [04:55<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 470; scene = ['338d0fb7e58dd4a3', '778eaeaaffc6107d', '9dda63b4544559e9', '34461872e645d034', '0684f42098862b74', '0c7171edef36d44d', 'ebde595b532cf60c', '24649be0dd272ffc', '52e13717e8b9393d', 'ee6e5709a57be759', '466666b6242e3081', 'e4e0a2c744fcabd0', '5eeb2c7cd1bd78f7', '409dc0e5cbdbe442', 'db84572032e69dc0', '395b1c86e35e8d93']; context = [[11, 36], [13, 38], [25, 50], [89, 114], [27, 52], [119, 144], [106, 131], [123, 148], [32, 57], [195, 220], [18, 43], [52, 77], [6, 31], [102, 127], [9, 34], [30, 55]]; loss = 0.037280 low_pass_filter = 10.000
+Epoch 0: | | 479/? [05:01<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 480; scene = ['a134112256d679ba', 'ea334cb643e07603', '8ccc670b427d277a', '40c5311e3b3accef', '4277d8783b6a046a', '91599919681fac69', 'a01c907f0070d11d', '896854a5d7c5179b', '9af7c151a7ca6d00', '5d14e2fa2974d6df', 'a6161601e3a76aa9', 'caee640343f2dc58', 'b9e8ae6d34748bc1', '496e2618d0fb9556', '1b4bf9a4a458e0df', '9810e48786be9e3d']; context = [[8, 33], [32, 57], [20, 45], [140, 165], [39, 64], [156, 181], [59, 84], [16, 41], [159, 184], [25, 50], [153, 178], [124, 149], [78, 103], [43, 68], [25, 50], [144, 169]]; loss = 0.036944 low_pass_filter = 10.000
+Epoch 0: | | 489/? [05:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 490; scene = ['d02e6b104723d39a', 'b9b73f46f1e5127a', '1290f3a6418b3dde', 'a535813b18e86b5c', '33e825f8a32b472f', '6a417181b27738ac', '53a2168e29e700dc', '91ac7d7027dcc46d', '57cea8a71cab48cf', 'de8093f620537a4e', '051c6fc0722d51f7', '1318e656455d56d2', 'b86ade7fa8b48715', '289adac94281ccb3', 'b43b9870fd778691', 'ab1ba9f15e793ef9']; context = [[144, 169], [0, 25], [217, 242], [37, 62], [23, 48], [4, 29], [50, 75], [47, 72], [49, 74], [52, 77], [25, 50], [85, 110], [2, 27], [35, 60], [45, 70], [76, 101]]; loss = 0.035473 low_pass_filter = 10.000
+Epoch 0: | | 499/? [05:15<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 500; scene = ['0f35ceaf227ff187', 'e23f945703f61bfc', '7277bcf45f9b2f21', 'd77fc60af718d2e2', '9bebde67fd28d7c2', '0645a4e5ad941af4', '99271aa47d803a6f', '4dd424a2e0a97403', '81431041a033fbc8', '6883aebc73cdcd2a', 'e3ab34faf834f40f', '4986da6c3f01c2bb', '33733a6eb9850264', '57a8005cadd17369', '63c3f51245b29666', '25c60ef8ca347ede']; context = [[4, 29], [4, 29], [131, 156], [76, 101], [59, 84], [78, 103], [171, 196], [100, 125], [51, 76], [155, 180], [30, 55], [52, 77], [160, 185], [150, 175], [33, 58], [53, 78]]; loss = 0.037549 low_pass_filter = 10.000
+Epoch 0: | | 509/? [05:21<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 510; scene = ['a5ec396329b37a88', 'dc02e89f277cc130', '9af18a1c4c45a179', 'd2443f80e34394ff', '1a7af026101df102', 'ff70172dd4ad43ec', '11dc92ba5c0e1ac3', 'bb0c96ae5026135d', 'a62bd02a1223b0e5', '625ef197fa165c4a', 'c2bf5ee569ba3681', 'a33838d396af29c0', 'c911c92ac370270a', '347f4e7f9f627a12', '5450eb5614d8af42', 'aa2ee5c4626a6c43']; context = [[1, 26], [43, 68], [109, 134], [21, 46], [36, 61], [95, 120], [58, 83], [31, 56], [21, 46], [65, 90], [39, 64], [94, 119], [175, 200], [29, 54], [9, 34], [47, 72]]; loss = 0.033427 low_pass_filter = 10.000
+Epoch 0: | | 519/? [05:27<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistictrain step 520; scene = ['59e7800dec3fa9f5', '3ad7fc9a83e3e883', 'a5bcf7c72eb10c48', '89c03784240911c9', 'a24b9835a33fb46e', '4da0f9a3b1ca2560', '19bd0f9c48f069eb', 'c8e5ea381a7de099', '521aa01f117a1f3d', 'a9a1efdde077861a', '009e573e59c8c393', 'fda481eb3ffc890e', '701c95afe128e0d0', '586e189a8bb53cd8', '4c952c27612a3ac7', '997656bdb430ad43']; context = [[13, 38], [0, 25], [39, 64], [64, 89], [88, 113], [28, 53], [54, 79], [1, 26], [66, 91], [38, 63], [115, 140], [47, 72], [74, 99], [75, 100], [39, 64], [21, 46]]; loss = 0.033657 low_pass_filter = 10.000
+Epoch 0: | | 529/? [05:33<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 530; scene = ['d7e416701d1c4272', 'b9076a13bb94860c', '15536452f9b95c1f', '532786fdf5fd727d', 'a8abd4eeea08e1ad', '30bdb9819e21fbd1', 'b1aa2a14c16deaa1', 'b6974cc96a02e9e6', '05efd1fc549ed5f2', '12adbd00ee2b3fcc', 'a48e4e90b76cc3a3', '4eb66b49aeb1d641', '7043e8afce176c8c', '916572369a42b51b', '4e69d635ba8e495f', '12a8561544c97948']; context = [[86, 111], [13, 38], [179, 204], [12, 37], [73, 98], [84, 109], [84, 109], [24, 49], [24, 49], [32, 57], [132, 157], [19, 44], [7, 32], [205, 230], [4, 29], [108, 133]]; loss = 0.032246 low_pass_filter = 10.000
+Epoch 0: | | 539/? [05:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 540; scene = ['35e2e0c67e738b87', '605c98b35d15551d', 'e9b9ad20889455df', '73df004467108123', '41d454a6a4ccc3c6', 'ab03c2979623d6cb', 'c1628e1f1e308fb6', '5fc14076d0059d8a', 'c3f1d0f6da5ce21d', '3985b66cc91776eb', '36d957c25ce3a65d', '1a402532663d05ad', '4af1f08d7b5d1523', '837d2467631c6e6a', '6545dab9a4699ef0', '7eb0dffcddc1722c']; context = [[168, 193], [121, 146], [38, 63], [0, 25], [98, 123], [72, 97], [7, 32], [114, 139], [217, 242], [71, 96], [189, 214], [144, 169], [35, 60], [26, 51], [35, 60], [60, 85]]; loss = 0.033526 low_pass_filter = 10.000
+Epoch 0: | | 549/? [05:46<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 550; scene = ['ab8e80684547f15c', '8de0c4ae0c5bb988', 'aee9e4231eda0fdb', '59ee32c2dccc3dba', 'b210bb589468fb4d', 'dc5f38f005c3ebd6', 'e2ce81d901cdd6c7', '08527853c5cf3f4d', 'e09c7a12828e1b49', 'b113c611f9029c49', '340688cb63ead6f6', 'bae2d6272431c8eb', '7ffd821c6ca83444', '05d0fcfbe36d261f', '50c8b8855897d03a', '5e68140473b7fb10']; context = [[8, 33], [30, 55], [25, 50], [146, 171], [74, 99], [80, 105], [29, 54], [1, 26], [100, 125], [20, 45], [48, 73], [145, 170], [6, 31], [37, 62], [47, 72], [12, 37]]; loss = 0.031234 low_pass_filter = 10.000
+Epoch 0: | | 559/? [05:52<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 560; scene = ['60a584cf224950a4', 'c38835db6bec2825', 'b86f88d0d21318cd', 'c0e9d9f4f60169e0', '3ec1eeba0cc084af', 'f8ee5a395e856a9d', 'c532c6f1dbe975b7', '34037b62eef60172', 'b5f39f444ec03cee', '7c6d160c26de6887', '0f0bbb6510ca3018', '99e9f09b456ef23e', 'c49bd62c183dd925', 'd066040e500bd58b', '87c9128b943f1b3f', 'b07a54eda9cdaccb']; context = [[21, 46], [81, 106], [61, 86], [21, 46], [69, 94], [4, 29], [14, 39], [30, 55], [95, 120], [144, 169], [33, 58], [22, 47], [12, 37], [1, 26], [26, 51], [74, 99]]; loss = 0.030886 low_pass_filter = 10.000
+Epoch 0: | | 569/? [05:58<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 570; scene = ['43cd8bfd1bada381', '2c3bc0c318fa3771', '9a2d4c60e9585ed7', 'b7873e1ebdb5721f', 'ea2343e4a390441b', '95cd0bad15de18a9', 'aa801c6cfb72fdf8', '51e99330cbe8b36a', 'cb3bac70297d52c0', '04de1a4925ce16a7', 'c2648243586329ba', '699dc0e0cbd1d2d5', 'ff4fb430b2108b32', '6dd73ce2d44e63de', 'd73dae9e6ffe86dc', 'f0db130b452071e8']; context = [[0, 25], [20, 45], [96, 121], [76, 101], [37, 62], [77, 102], [14, 39], [38, 63], [153, 178], [64, 89], [49, 74], [208, 233], [8, 33], [84, 109], [29, 54], [3, 28]]; loss = 0.030429 low_pass_filter = 10.000
+Epoch 0: | | 579/? [06:04<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 580; scene = ['503b736751827a0b', 'a5b3faa684a1553a', 'cbae7b8786bec1e4', '31c1855b8ad30220', 'a772b5f2e834d70d', '162daefc4ddae544', '363ee2c7afc81e84', '7dcdecb79cbb1334', 'e4d86068c95e0922', '4ec29bd9dfd30c2e', 'b0f5b20c5724e592', '31411305ea3662c6', 'fe8c395dd70d4844', '3bee0daad1cc6c0b', '9a89163b62f0a058', 'b9277bf4125499a0']; context = [[10, 35], [35, 60], [185, 210], [91, 116], [231, 256], [20, 45], [100, 125], [63, 88], [176, 201], [26, 51], [1, 26], [144, 169], [148, 173], [153, 178], [166, 191], [138, 163]]; loss = 0.031520 low_pass_filter = 10.000
+Epoch 0: | | 589/? [06:10<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 590; scene = ['bd006cf0a751d205', '4d48befa72535f0a', '2147da0f465a3566', '8b12ac02ddbe40cb', '8481bc2172478625', 'e454026f5348630e', '201e44ad015728c7', '9029d8d8f6f0e98a', '307049b9515d7ee6', '95b1deb2d645f275', '3c418948bc7076cb', '28cab3659a1510a8', '6666ae9375b1656e', 'fd4d668123665d1f', '46d11fdef3f136d3', '3323fc8b3b6bccbc']; context = [[70, 95], [131, 156], [17, 42], [14, 39], [82, 107], [46, 71], [132, 157], [112, 137], [121, 146], [89, 114], [27, 52], [42, 67], [39, 64], [233, 258], [112, 137], [25, 50]]; loss = 0.034431 low_pass_filter = 10.000
+Epoch 0: | | 599/? [06:16<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 600; scene = ['80f5da17b4119bbf', '93416bc86e84f4c5', '91722542cd063407', '93e09aeb0a7c54d4', '63f6e847b2e2a2e7', 'a7957a1e2b7ad909', '1045f4f8fd6bdd09', '982da008194b287c', '8d758914077e5926', '6cee4547c99f248b', '4a0f95a3db913b56', 'de8ef03bc3c49125', 'be6ab5e68b93a77e', '4b2e9dd96e4d8542', '8cbb325cdb64a928', '8e129a4801a9f632']; context = [[247, 272], [152, 177], [71, 96], [6, 31], [112, 137], [47, 72], [54, 79], [3, 28], [105, 130], [15, 40], [171, 196], [11, 36], [21, 46], [73, 98], [0, 25], [54, 79]]; loss = 0.029667 low_pass_filter = 10.000
+Epoch 0: | | 609/? [06:23<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 610; scene = ['e53ec34eab835d44', '180608332f0b1b2a', '2225123ef31a93e4', 'accfed2fa6ff849d', '75e5ba7e7fb64fc0', 'd0aafe6b7593a8c6', '89b54f912927a60b', 'ac5df5f432218bc1', 'e0b48fb2ddbbe96b', '430ed582e79c5bab', 'dbc96a6d523c159f', '61d8e6311f28fae8', '36df4bc97cbd94f0', '179fbbbcc3e6e195', '448e12a47b369490', '57a522ee28c2896f']; context = [[9, 34], [100, 125], [124, 149], [17, 42], [90, 115], [45, 70], [79, 104], [22, 47], [59, 84], [94, 119], [63, 88], [90, 115], [27, 52], [30, 55], [47, 73], [65, 90]]; loss = 0.031890 low_pass_filter = 10.000
+Epoch 0: | | 619/? [06:29<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 620; scene = ['478386221245bac9', '04c740af3de5ae4c', 'bea0e295ee56d42c', '986d6bdd6646acbf', 'bd0f82f93d5693ca', '52aa7676145d5273', '56d0236a2c56b534', 'd1300efa0f9232ac', 'f6a68923ac68bc4a', 'f8f0491a2268ee5e', '6e637d0641b0d845', 'c956b44c983826de', '0abbdaad60ccd753', '27cf7ba27eed1eae', '14b48961c5e1364c', '1fe3e0dfb0bebffe']; context = [[49, 75], [28, 53], [59, 84], [44, 69], [97, 122], [47, 72], [63, 89], [37, 63], [65, 91], [10, 36], [93, 119], [146, 171], [0, 26], [17, 43], [67, 93], [4, 30]]; loss = 0.029451 low_pass_filter = 10.000
+Epoch 0: | | 629/? [06:35<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 630; scene = ['53e532801bd44085', '69fc02421193302a', 'a5822c29e761ba5a', 'af7f730cb84dc631', 'f344839ca7c971b7', 'd3dddf816450d1d0', '59a2ea0122aa4591', '030d035ba47fecc3', '41c2debbaa89e15f', '0e9005332bd00350', 'f23d671496254ef5', 'f12268aa63c53837', 'd38fcceec78870bb', '458d2a1fcd766d41', 'd2753ca4cb61778d', '33c23461406aadc8']; context = [[31, 57], [91, 116], [18, 44], [155, 181], [104, 130], [81, 106], [88, 114], [30, 55], [115, 141], [29, 55], [106, 131], [44, 69], [8, 34], [2, 28], [4, 29], [30, 55]]; loss = 0.030052 low_pass_filter = 10.000
+Epoch 0: | | 639/? [06:42<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 640; scene = ['7faf1c350d3f1f12', '5746d03325bf70d3', 'a6dbaee66b58a994', '2289780f7fdb5091', '35a67ce0f0a56dea', '4e11b2499f900054', 'b97d670a564c4f01', '5704ff301c085eb6', 'bbb0e9da2dddcfce', '33847bd0ad0529bd', '2ff050f5f09529d0', 'bd70de468feeaf26', '7b3ed343513dc1ba', 'ad1b9085098baa13', '8fa1f01dcf1e67ec', '874157e6587dd60c']; context = [[27, 53], [118, 144], [6, 31], [82, 107], [2, 27], [47, 73], [60, 85], [144, 169], [22, 48], [2, 27], [1, 26], [20, 46], [0, 25], [0, 26], [46, 72], [13, 38]]; loss = 0.028934 low_pass_filter = 10.000
+Epoch 0: | | 649/? [06:48<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 650; scene = ['2c0f63521c7e23c6', 'd11dfc2d4c7f412c', '26efd6cf15fcdd57', 'ed5029418049d85e', '600470a337c98190', 'd8eb3a556fde4131', '65134afb11a85252', 'a00a4bace03ba9b9', 'fd3490bd670b5b80', '95281743bb229945', '54f68167ea012743', 'aadfba62f23cd2d5', '67d059492bf13057', 'bebcc76384ce0054', '5f2d539c6dcc0a82', '7abd2cf015e33118']; context = [[7, 32], [10, 36], [32, 58], [73, 98], [179, 205], [14, 39], [46, 72], [4, 30], [9, 34], [24, 49], [59, 85], [24, 49], [86, 112], [52, 78], [158, 183], [48, 73]]; loss = 0.028336 low_pass_filter = 10.000
+Epoch 0: | | 659/? [06:55<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 660; scene = ['a9272405ceec0be2', 'd77284dc9b9d1031', 'c270572a7f5ea828', 'ee28455c2e76ef79', 'bdb2281a7c9f1ce5', 'f14721fab585c585', 'd011c2b2ac6ccc0d', '4412131879034bc2', '460d2009e8c97d4e', 'afd2942e07cd0a89', '3281beb44b21ae80', '874e813188a281e4', '175b05b368c133e7', '5c399d154f879440', '29ad06f3162b2bc1', '35fe94a6f4b752b3']; context = [[26, 51], [14, 39], [102, 127], [182, 208], [16, 41], [43, 68], [56, 82], [29, 54], [103, 128], [22, 47], [64, 90], [75, 100], [26, 51], [21, 46], [27, 52], [5, 31]]; loss = 0.027649 low_pass_filter = 10.000
+Epoch 0: | | 669/? [07:01<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 670; scene = ['9a94e71cea472790', 'bea3977d3073b2d2', '276de289278edacc', '0304b78786c9cc4f', '56f957c4bc88fa94', '78ca16a59dd41338', 'bedc784fb1794f8c', 'a61c8d77fdac60ca', 'f00a77b3b162ac4b', '4f0b9b05ed188565', '1fe4a6141969e60a', 'badfd7edf4b25b37', '856ff8cdb67ce060', '771c99720c383982', '42b2dabdc5ea4d93', 'cf0f25dfe419c0e5']; context = [[40, 65], [82, 107], [7, 33], [90, 116], [26, 51], [191, 217], [40, 66], [220, 246], [33, 59], [46, 71], [13, 38], [88, 113], [219, 245], [26, 52], [82, 107], [69, 95]]; loss = 0.028420 low_pass_filter = 10.000
+Epoch 0: | | 679/? [07:07<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 680; scene = ['dbd909b37336a7d4', 'a5a9c7400a09168b', '91ea7e8b11190fdc', '575979a8750fbd67', 'b09331320276c019', '4a3fd9a21123f197', '3ba6e1145c8b37a9', '839b542ef0c0696e', '02a36358f7cff958', 'c0e29365bc5f76fa', '5b4ae8c5f7349c17', 'df607878c3beffe9', 'f62a48672f8acac7', '97568a7f147a654f', 'f63942420154ff92', '632384f4c6834aea']; context = [[26, 52], [14, 40], [19, 45], [23, 49], [28, 53], [11, 37], [28, 54], [57, 83], [91, 117], [11, 37], [109, 134], [2, 27], [17, 42], [9, 35], [224, 249], [105, 131]]; loss = 0.026631 low_pass_filter = 10.000
+Epoch 0: | | 689/? [07:13<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 690; scene = ['668011916dfc9762', '6e23ea0adefdcdfe', '0fef731ee5f47c37', '8d45251c07bebb7b', 'ef8353177113530f', '400098a7ab312bdc', '4f2295416524f95e', 'dc48281d021ea939', 'c61d93b01fd6e377', '17f8f8682a86f190', '6a089a1af0cd47d3', '8044c8eaddd8149d', '7665ff641f430aa5', '882c2c3ccb2f06c3', 'e41c98366fe40b7b', '21e7ab7fe9d8753b']; context = [[15, 41], [53, 78], [8, 34], [36, 62], [52, 77], [51, 77], [19, 44], [69, 94], [38, 64], [128, 153], [6, 31], [91, 116], [124, 149], [33, 58], [27, 53], [48, 73]]; loss = 0.030215 low_pass_filter = 10.000
+Epoch 0: | | 699/? [07:19<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 700; scene = ['e9f0dce281fc1ef2', '7eba39d96769f1f3', '92cffae82bfb22ce', 'e1eaaeb084992db2', 'a987dc34de0f7d8b', '8ca0262e75fd9f8b', 'dd0418fa73c25b1e', 'fbfb9866efe5bf64', 'dd409b33f3f5c29b', '644baf494fab7ff7', 'd81f183e644ae7fe', '88b43de931cc94ac', 'fad05546fba5dace', 'bbf7acd688e96278', 'dca4d9700ae80a91', '6ac14f7de01b3021']; context = [[9, 35], [158, 183], [29, 55], [89, 114], [42, 67], [25, 51], [19, 45], [45, 70], [174, 200], [64, 90], [3, 28], [43, 68], [24, 50], [3, 28], [2, 28], [40, 66]]; loss = 0.028450 low_pass_filter = 10.000
+Epoch 0: | | 709/? [07:26<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 710; scene = ['7a1a5b280aeed1d1', '3ca192a6f7bd3055', 'b87f3bd2e5b947d9', 'b08fff272e1c806e', 'e40db329b18cfe34', '96405403953c2a44', '9d9e27f41396c20c', 'cb7ba36fbae70c01', '721707ada01bdffe', 'aa9daba10b590900', '0209fa7ef8a06022', '2f0a6c64c44f9979', '89ad52b52eb4ba60', '885587f42ee4e11e', '88b8bb15bd256558', '3d928d1613742585']; context = [[195, 221], [4, 30], [164, 190], [21, 47], [171, 197], [13, 39], [68, 94], [44, 70], [99, 124], [8, 33], [4, 29], [121, 146], [10, 35], [13, 38], [9, 34], [13, 39]]; loss = 0.029006 low_pass_filter = 10.000
+Epoch 0: | | 719/? [07:32<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 720; scene = ['ee3c9edbf6eedea9', '8a39c6b779b31dd4', '68320cab3a271ea3', '43544bc50a0d09ee', '494a0bebf7e6139e', '8a37947c1ad8c097', 'b20f139496853291', '14a700b34bfafc6f', 'fe1fe887ee20d877', '10491baf9035e557', '651e203d4e42216f', 'a2b08d5c241d54ec', '3c1022cc42279d6b', '218723a8059f18ac', '9f4b04caeaccc100', '26197c5e7d9e117e']; context = [[17, 43], [4, 30], [112, 137], [30, 55], [47, 72], [10, 36], [32, 57], [15, 40], [60, 85], [22, 47], [58, 83], [5, 30], [0, 25], [6, 32], [1, 26], [53, 78]]; loss = 0.031025 low_pass_filter = 10.000
+Epoch 0: | | 729/? [07:38<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 730; scene = ['a57232a4ef2ec923', '564a9a401e37c50b', '53e05632cb9141bd', 'df869fb963216261', '6744c1cf4e4dee91', '509496bad5a12f79', '06917bbe38912ea3', 'e92e4346a6224492', '9a725436379352e6', '5e55a38946593552', 'c5603a5e8498a827', 'f5338d00f9c021a3', '2cc2af36e6bb9fed', '547ebf48151eef4d', 'f603fb7c184a9103', '31304e5e03a0a335']; context = [[54, 79], [54, 80], [49, 75], [8, 33], [186, 211], [20, 45], [162, 188], [2, 28], [21, 46], [53, 79], [32, 58], [179, 204], [43, 69], [59, 85], [73, 98], [236, 262]]; loss = 0.025264 low_pass_filter = 10.000
+Epoch 0: | | 739/? [07:44<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 740; scene = ['f8ff67683c2323b8', '070e03b0709a0c7a', 'dfb585600cfa6d6e', '8062e068d364879e', 'bbb9d583807930d7', 'e68962be9d5fa78b', 'c098a117d37c1b11', '75d62d0707d1240e', 'c8b2e4d3f9fe541a', '67353f28c5452f17', 'd4aac0088971ad5d', 'a39b07c625f4fbaf', '086fc9b0951ac9ff', '42e11bb83f385317', 'adaa895408584f36', 'f52ea4df10c6472b']; context = [[122, 148], [76, 102], [89, 115], [122, 148], [143, 169], [63, 89], [224, 249], [86, 112], [18, 43], [23, 49], [67, 92], [160, 186], [92, 118], [56, 81], [150, 175], [11, 37]]; loss = 0.028007 low_pass_filter = 10.000
+Epoch 0: | | 749/? [07:50<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 750; scene = ['3ca9f2ea058b7220', '032961ac14c9b53a', '90a599cbae3f7f49', '4be99782bb201a87', 'd5a3940bb6a3363e', '31f802c4d94b2a8c', 'fb46a820975c2449', '17305b0b98053dee', '9c437a1ff26fc63d', '4bf92848b7ed1bcd', 'df21bcc5b49bc2bd', '3de485eddabc0ae8', '39d39ebdd5959a48', 'f7fd59b61fd90975', '77cba126c83354bb', '23997b17e26ba688']; context = [[7, 32], [79, 105], [100, 126], [24, 49], [134, 159], [84, 109], [57, 83], [227, 252], [202, 227], [15, 41], [1, 26], [11, 36], [142, 167], [44, 70], [2, 28], [16, 42]]; loss = 0.029990 low_pass_filter = 10.000
+Epoch 0: | | 759/? [07:57<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 760; scene = ['f00a0701904b2128', 'c4bfdf6f3a6c774d', 'baaba9c7644ef952', '55671e2db4657b00', 'b4bbab891a72ff1f', '390c8df752d7b22e', '756790007006f209', '05846e2bbc1ea5e0', '60f92bcb07109c4a', '0cd0baf1a9e3847a', 'b3e02abe2e692d4f', 'f35b530672b42ba5', 'f8e32278bb006569', '693db81439adb0d3', '65410d22f0d980f7', 'fd8dec4cd31f64b8']; context = [[1, 26], [17, 43], [23, 49], [153, 179], [0, 25], [18, 44], [26, 51], [3, 28], [9, 35], [9, 34], [1, 27], [42, 67], [32, 58], [24, 49], [32, 57], [4, 30]]; loss = 0.027435 low_pass_filter = 10.000
+Epoch 0: | | 769/? [08:03<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 770; scene = ['ab6103c00d052f04', '7f4c7bd5a9e3cddd', '331af0d1363e80b3', '4d5af03e77b032ba', '95307cda066e2664', '1dbd139488ac84b3', '8b7378a3996ee778', '26b8065adc153c13', '2a4fe9d5f507d831', '548ad1b923e633d8', '92a1f3ab5dbe634e', '4e437d66420067c2', 'c3165a339b9a09e5', '4e4985c5a76ac0e5', '5ac80497fad02a9a', 'a0f148d59958f742']; context = [[5, 30], [200, 225], [46, 71], [2, 28], [223, 249], [21, 46], [8, 33], [1, 27], [67, 92], [171, 196], [21, 47], [30, 55], [71, 97], [71, 97], [82, 108], [38, 63]]; loss = 0.025171 low_pass_filter = 10.000
+Epoch 0: | | 779/? [08:10<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 780; scene = ['1d80884a4b201f28', '1fba7a1a16edf7db', '2bf2121510674b04', '04c4c5a25b4ccb21', '17d74baebc458fb9', 'edf8fdfe10fb893c', '77a0fdc6389de36b', '90686fbf5ca9bd0a', '232da3c3c432bcf5', '2804817967c9ab8b', '34769f82ff4b286c', '4df2a98cf2678d8c', '2eacf9db1843546b', 'c1f32a7a7ec37d39', '6187332401a328eb', 'c495f01f294333ee']; context = [[23, 48], [114, 140], [142, 168], [4, 30], [53, 79], [206, 232], [35, 61], [16, 42], [103, 129], [166, 191], [10, 36], [106, 131], [14, 39], [15, 41], [164, 189], [3, 29]]; loss = 0.030977 low_pass_filter = 10.000
+Epoch 0: | | 789/? [08:16<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 790; scene = ['0cbf1454a4391523', 'f3b24cf238154fc0', '9bb0448e7cb2f733', 'dff181c503e5c202', 'f0b0c2b2fa790b94', '4b30f3b820875a1a', '4a218ddfc3698ca8', 'bc34ecfb3c809d97', 'bca757afa6825a39', '75f7df7e153bb467', '51ba892c38152086', '84335596c296225a', 'c121bf6c2929cfe1', '1e796863c062efaa', '995f249ace489797', 'edc39c2e54f4dd24']; context = [[8, 34], [22, 47], [28, 53], [108, 133], [12, 37], [28, 53], [43, 68], [67, 92], [13, 38], [45, 70], [69, 94], [126, 151], [30, 55], [14, 40], [10, 36], [12, 38]]; loss = 0.026451 low_pass_filter = 10.000
+Epoch 0: | | 799/? [08:22<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 800; scene = ['b1818f89f71d7ede', '1dc0f9200778b6ff', '8bb9dfb202abb4c0', 'd8cd8e74983c2ed5', '9c8a304979cbc7da', 'f00e57d3e757b12e', '96ba226de3006d1b', '49cdcdc8c9fe71f2', 'b7e287b139583003', '04221c6266b4fbb5', '11db2e14d64c1b42', '51f80353f6008c4f', '564437b001139667', '5b7e5ce68733bcc4', '7850797441a57de9', '12048355d2052d78']; context = [[58, 83], [32, 58], [109, 135], [97, 122], [181, 207], [130, 156], [49, 75], [26, 51], [63, 88], [91, 116], [112, 138], [129, 155], [118, 143], [64, 89], [69, 94], [43, 69]]; loss = 0.026720 low_pass_filter = 10.000
+Epoch 0: | | 809/? [08:29<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 810; scene = ['f841958b4f3ea9b6', 'b5a711e9d6e9f7d2', '81239a4d26b89db3', '0c55d99325327032', '0fa3084a8ad67f81', '1766b288f284c234', '792c3b369bcd98f6', '600aa1de0c963a27', '7d81b28b7afe5738', '6b93a9fa1ce08986', '71843154fd778989', '6e024fbe00be60cb', '1cacfe69c509febf', '2765f5d2bd45f599', '591324b1a786d91e', '04740510b6d96720']; context = [[60, 86], [5, 31], [74, 99], [35, 61], [10, 36], [186, 212], [45, 70], [1, 26], [243, 268], [36, 62], [17, 43], [55, 80], [87, 112], [36, 61], [67, 92], [16, 41]]; loss = 0.029959 low_pass_filter = 10.000
+Epoch 0: | | 819/? [08:35<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 820; scene = ['a0cd80f2815b8716', 'e649e3010fab6d40', '3f4cacc2a74df04e', 'b887116c5ac0c3ae', '3bdacd796a82e581', '1631053dcc53cb87', 'b555afebfcce407c', '2405f8024d2d8efa', 'b31dae3a8edd6af8', 'b12f99acac988ca4', '6df08dcd841c4b9b', 'fadf8681f71b6225', '2a16f86d8c47f471', '082c57765925eb2b', '02c39509dcd964e8', '9de33e466a02ea23']; context = [[92, 117], [18, 43], [5, 30], [3, 28], [161, 187], [49, 75], [145, 170], [70, 96], [38, 63], [54, 80], [34, 60], [21, 46], [2, 28], [107, 133], [105, 130], [25, 51]]; loss = 0.026101 low_pass_filter = 10.000
+Epoch 0: | | 829/? [08:41<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 830; scene = ['0841dc352b358629', '9308b0309e860d89', '804c26118696da0b', '6f29d2f4950be336', 'de40426a00dab49a', '546bf84eac7404e8', '11730d25b6f6361b', 'f1f5e26cb49fd2a5', '15cd8f43f173d0e3', 'e1fbf58a49076d36', '2d4b0725e43dc211', 'c2923fa433879e60', 'cae0139a521aa052', '08127a499408b79e', '591bf6ac3800ca21', '811e5be9bf8e26ca']; context = [[110, 135], [48, 74], [6, 31], [2, 28], [36, 61], [6, 32], [140, 166], [0, 25], [10, 35], [9, 34], [240, 265], [121, 147], [20, 46], [3, 29], [5, 30], [43, 68]]; loss = 0.029044 low_pass_filter = 10.000
+Epoch 0: | | 839/? [08:47<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 840; scene = ['f7d5f1a8df9d773f', 'e426679594077686', '1d954e607bc2a8f6', '2290ecbf83cd253e', '9c7c42260596ac3d', '0482811bdc4713a5', '5e78458cfb6b8150', '61327ef41f3b72f1', '74e1a98290b34a81', 'ecc15d661d8dbe9f', 'cfec50872cec53bc', '6a4fe529a00082f2', '6a6beb90616e4f37', '42c7147c591f47cb', 'b05e5158361732c9', '5f22fdf235746488']; context = [[21, 47], [103, 128], [18, 44], [26, 52], [47, 72], [143, 168], [37, 62], [2, 27], [196, 222], [210, 236], [35, 61], [185, 211], [15, 41], [3, 28], [177, 202], [10, 35]]; loss = 0.028425 low_pass_filter = 10.000
+Epoch 0: | | 849/? [08:53<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 850; scene = ['ceba0c9064ef2075', 'f249fdd072d2d35d', '93f0ba6797c67f20', '9122be71240bb162', '9168f179a84dcc90', '2d5886bd890632c6', '7e72a2e96b39c149', '2ca7a809dda33d8e', 'c0ee12e05d7032af', '01d4d24e9f33aa8f', '0cf6039feb87cb09', '825d0b6a944ea867', 'b811e125c84adff1', '3ffc4b7822281c60', '18711838050bef0d', 'fcfd650da12e293f']; context = [[107, 133], [10, 36], [28, 54], [153, 178], [43, 69], [34, 60], [33, 58], [39, 65], [55, 81], [58, 84], [4, 29], [14, 39], [22, 47], [25, 50], [107, 132], [103, 129]]; loss = 0.027072 low_pass_filter = 10.000
+Epoch 0: | | 859/? [09:00<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 860; scene = ['a221a85eb7d833b1', '8985d94d0dd98a65', 'dbf748364163182e', 'd5c1933c67b49875', 'f73708f8f2c1fcc0', '97133598e9144794', '4c4fce2df53535d6', 'ac1e985cf3a2df12', 'ca90cf157ecaadfe', 'c8b8300236a7220a', 'faaa1fa7767acf25', '0ab79d1b1d783e01', 'a7621aea5c101536', '7f11c968deb89da5', 'cc039d2dde109d6f', 'a06b2802ca08da31']; context = [[32, 57], [2, 28], [101, 126], [76, 102], [36, 61], [2, 28], [133, 159], [42, 68], [105, 131], [38, 64], [2, 27], [51, 77], [32, 57], [251, 277], [175, 200], [64, 90]]; loss = 0.026444 low_pass_filter = 10.000
+Epoch 0: | | 869/? [09:06<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 870; scene = ['96fcce02a7674e02', '9a9367ff87294587', 'aaa8dfa7e8498bd9', '5019925808a59723', 'f5934f621b0a002a', 'db77e4c30e954d3f', '23c177f84829d2a6', 'ecc88f03e2e5ef81', 'fb331a491ca2e5e0', '1a2ea561c9c8f419', '3a13e56691c8396e', 'bc67854fca5cdac2', '59e04cb072686a97', '31ba0028326b8b17', '82b8b4c5e983729f', '1b8abd07e10f4e79']; context = [[231, 256], [16, 42], [99, 124], [245, 271], [119, 145], [105, 131], [188, 213], [195, 221], [0, 26], [13, 39], [53, 79], [34, 59], [167, 192], [102, 128], [77, 103], [17, 42]]; loss = 0.025423 low_pass_filter = 10.000
+Epoch 0: | | 879/? [09:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 880; scene = ['5e70f8dc0da2945f', '4b7302601da9f913', '6f8ab470e569eced', '4886ce15c821b292', 'a30a83cc257714b2', '774d16d7b7d3ab87', 'c279649ebcdbd4ac', 'e1b0771ca0e3df03', '191f33c96812c34d', '43668ae8f0e517be', '176f7bab982f3aa4', 'e41818c1a640f355', '3670ced044c09f1c', '16e752a0b2952804', '37311e860b1ef72c', 'de5195b1d4b5e650']; context = [[24, 49], [187, 212], [20, 45], [15, 40], [52, 77], [62, 88], [22, 47], [67, 93], [46, 71], [41, 66], [186, 212], [189, 214], [9, 35], [97, 122], [197, 222], [38, 63]]; loss = 0.024795 low_pass_filter = 10.000
+Epoch 0: | | 889/? [09:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 890; scene = ['b41d3898f57085e3', '1182579e7ca4ef88', 'e7b0248022eae778', 'b8e91cbe57d886af', 'a308376472392fc6', '011fbca4c333495f', 'c38816ffe6b2c633', '2598b88b7b7d2119', '683c969b32f1b4b6', '1fefe15b477db1e5', '35d9cc4d7e5487a1', 'e5537547dd598187', '32261dd2941cfcae', 'c0e387d3a6285a32', '0cb47bf3e9ed3aa5', 'e55496b6c4f860e5']; context = [[77, 102], [60, 86], [32, 57], [3, 28], [9, 34], [19, 45], [96, 122], [30, 56], [86, 111], [81, 106], [203, 229], [4, 30], [148, 173], [102, 127], [36, 61], [25, 50]]; loss = 0.027795 low_pass_filter = 10.000
+Epoch 0: | | 899/? [09:24<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 900; scene = ['d44eb5d03836bfa8', 'd312027b19525a5a', 'ddabc74cbdf2849b', '72040346a65ca209', '06f384602bc7e787', 'de2ae796f06043da', '51b04fd9435b6853', '74b69334da4939e2', '7257497d7ddefa3f', 'da0f564e5210d09f', 'fb862259dcc8a0aa', '8eb77501b906faf0', '047b9960d19e3c60', '0492445f09a9bb4b', 'd7699c99c299376f', '87dcad4e125ff354']; context = [[0, 25], [0, 25], [6, 32], [242, 267], [139, 165], [126, 151], [61, 87], [72, 97], [125, 151], [125, 151], [31, 57], [56, 82], [216, 242], [204, 230], [90, 115], [167, 193]]; loss = 0.024506 low_pass_filter = 10.000
+Epoch 0: | | 909/? [09:31<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 910; scene = ['af5bc2b9cb5f4dd5', '70e06d0ca9ba12d7', '7cae2e82f768bd58', '75d09be60110e2cd', '8c6613326c9bb024', 'd20cec74d90a31b2', '28cc23ff81e8c7cf', '3c8b0bb757a118b9', '1ffe77b1a0efd127', '7fa1e8ca5ff1aa0a', 'c201594babef23f6', '4e5a24edeab27bde', '0081cfd790d7ad74', 'c8c1e40f50b1ef9d', 'e73b93ff29fb6e8c', '8d19f2c27abf126c']; context = [[1, 26], [145, 170], [133, 158], [1, 27], [73, 99], [45, 70], [98, 124], [39, 65], [13, 39], [66, 91], [6, 31], [17, 43], [25, 51], [158, 183], [80, 106], [69, 95]]; loss = 0.026052 low_pass_filter = 10.000
+Epoch 0: | | 919/? [09:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 920; scene = ['d5788ecb38219348', '75840717ecdc2325', 'afb5096c52233388', '706571cd6a9c16a4', 'd7798982569c2714', '334f192d01193f36', '6f3b47cc1831979d', '81124fd6dfc66253', '6131f8c669e8060f', '2b91070adf840bcb', '89d2c2d9e3aee457', '21691784e9e84e35', 'ded38d3ae876e8dc', '0a1aa875aca3711d', '9005d1006b63b2ab', 'b4c2e12ad3d75efd']; context = [[231, 257], [47, 72], [11, 37], [17, 42], [57, 83], [49, 74], [60, 86], [55, 80], [97, 122], [68, 94], [10, 36], [49, 74], [15, 41], [11, 36], [113, 138], [40, 66]]; loss = 0.029741 low_pass_filter = 10.000
+Epoch 0: | | 929/? [09:44<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 930; scene = ['51832326c2486521', 'ae91ec6e3aec00c2', 'e80172c489f74813', 'e034bdb73350efdb', 'b2e5932f5b358c92', 'f80af1dc6cf2854c', 'f8e3b85a21b25764', 'cac8ff0742e1ef7e', '6e6ce6a006f044a6', '9aba38d959e85c32', 'd68ad9834919913a', 'de11e8525444b3e6', '7770c9fd63ae19d3', '929ac3c28edde369', 'fb807a4a935011f1', 'bc920b78aab35655']; context = [[56, 81], [55, 81], [176, 201], [2, 28], [63, 88], [33, 59], [17, 43], [105, 131], [30, 56], [63, 88], [32, 58], [161, 187], [27, 53], [10, 36], [12, 37], [20, 46]]; loss = 0.026359 low_pass_filter = 10.000
+Epoch 0: | | 939/? [09:50<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 940; scene = ['6792d6a4f4e87e24', '06f60580eba61d9d', '42c7147c591f47cb', '5d167006936398f2', '5f22fdf235746488', '337c66222a513af2', 'ecc15d661d8dbe9f', '2d417198a5ebd20e', '6a6beb90616e4f37', 'cfec50872cec53bc', '8b3765816a0cb218', 'fa3c7a9b31e5ab10', '6ad2c6f0c0c903e8', '96fbaabf762077c5', 'af37a973266b99fc', '00d80d0e284dac72']; context = [[15, 41], [25, 50], [21, 47], [18, 44], [37, 62], [0, 25], [45, 70], [77, 103], [77, 103], [30, 55], [56, 82], [8, 34], [53, 78], [16, 41], [37, 62], [13, 38]]; loss = 0.029865 low_pass_filter = 10.000
+Epoch 0: | | 949/? [09:56<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 950; scene = ['d1a496112cee9a32', 'd069c35354465fa9', '1db855eb2be5b983', '09a1e9bbded02341', '3918e4998619b227', '2a23966bfac99977', 'b6f65429632f92fa', '14270bac7ebd4ce4', 'f372609a6c75bced', 'b4a46c5d2d8d0415', '30e1d420b926d6f0', '8902e97c5814433e', '161cc1c3c7d7f131', '52ba723e1b5e31da', '7bf71b62cccdf2fa', 'b23cbee05407661d']; context = [[59, 84], [8, 34], [129, 154], [59, 84], [127, 152], [142, 168], [45, 70], [30, 55], [26, 52], [14, 40], [30, 55], [22, 48], [1, 27], [148, 174], [12, 37], [131, 156]]; loss = 0.029159 low_pass_filter = 10.000
+Epoch 0: | | 959/? [10:02<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 960; scene = ['3ba287815c2fa8bd', '4d9de907289bb1b6', '90b3a044d5c4522e', 'da500b24da7a495b', '5205c4ab691fab79', '979583f22bb73aef', '8c42a0b02e4b80e7', '643a17e2e87792a1', '6af3dac3387f0c7c', '2b85a6b46f2ea8de', 'fd7e46c14085c76d', '789e60a632f1c397', '4bb8768dea446ee1', 'ae846b6a792cadc1', 'e72abbc2e978475b', '6a11871c9643bd79']; context = [[29, 54], [134, 159], [9, 35], [15, 41], [142, 168], [55, 80], [211, 236], [11, 36], [224, 249], [1, 26], [36, 62], [18, 43], [90, 116], [224, 250], [14, 40], [51, 77]]; loss = 0.026017 low_pass_filter = 10.000
+Epoch 0: | | 969/? [10:09<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 970; scene = ['da7b5b8c48f2b345', '800692cf789b69bb', 'eb8e1a343a57f246', 'ef63ce1150b93a2f', '6f8cd3c25e7ce532', '430828a73b0473c1', 'fae232a4edb86602', 'ab533c63e6b7ef78', '6f2daf5cb8151b38', 'cd2bc85e8f87f404', '363163aa8eb9a2dd', 'f6d48213ef0665a5', 'cd7a270da6f6da4a', '2018a20c3c41f278', '0274ae92b3b40648', '56f96532473be1b0']; context = [[4, 29], [32, 58], [84, 110], [48, 74], [1, 26], [1, 27], [17, 43], [36, 61], [142, 168], [43, 69], [71, 97], [25, 51], [43, 69], [95, 120], [208, 233], [74, 99]]; loss = 0.025647 low_pass_filter = 10.000
+Epoch 0: | | 979/? [10:15<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 980; scene = ['0f8c770f3a37cacf', '4e9bc83dc19ab35b', '02b4de9af6e29e8a', 'ff7c5e76dbb32bf8', 'fc0eb949f7e3495d', '809ac9d0df881cdc', '9b1748955fdd2d93', 'c62d89b4898ca134', '8fe0153671265cd8', 'cac682fd737ac05a', 'd5c8690ebede654c', '68f5a9c218ae58de', '6f734cb7648a8dc0', '3a06c662b556f35d', '2ab59b3cd18cf2a6', '7575c3ff61344cf7']; context = [[55, 80], [6, 32], [76, 102], [18, 43], [56, 81], [36, 62], [9, 35], [51, 76], [11, 36], [0, 25], [142, 168], [160, 186], [112, 137], [57, 83], [15, 41], [75, 100]]; loss = 0.026348 low_pass_filter = 10.000
+Epoch 0: | | 989/? [10:21<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 990; scene = ['065d41d6e7cd8ad8', 'fbc4bbe6225528ec', '3baeb8a657696aec', '0224ae3b7123367e', '61327b567aa8d6f6', '0856eb1e161c6cb8', 'e6406106735f8b34', '12108a3fd93471fb', '6080fc9345448eec', '39ee4bf580cf2bbe', '5a1ccf5da976f592', 'c2de98e8401d1883', '877e982c2aeacb3a', '9f7fa8a32d5eaa0f', 'd3b5f1786c3ae039', '28478600e3b81375']; context = [[38, 63], [147, 173], [16, 42], [231, 256], [34, 60], [44, 69], [103, 129], [6, 32], [48, 73], [119, 144], [12, 38], [1, 27], [40, 65], [8, 33], [0, 26], [1, 26]]; loss = 0.026376 low_pass_filter = 10.000
+Epoch 0: | | 999/? [10:27<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistictrain step 1000; scene = ['d31dab63cc54c59e', '767c62f619b15386', '95c9d9e0f42b1a15', '7b698e19de628b10', 'dca0f0eacbccd9c8', '6a98a5412a5aee02', '58862a8fe2c91894', '6bb1fe38f50ee2f6', '5e8552f9cdf1e078', '344337509a48a21c', '3220f882c1f72cca', '272f7a997c94d84f', '6af18067925fa678', 'b12b1204a0c7c197', '5db240a3c54df22b', '28ada2a08238d1c8']; context = [[3, 28], [43, 68], [13, 39], [8, 34], [13, 38], [40, 65], [43, 69], [5, 30], [67, 92], [79, 105], [53, 79], [151, 176], [33, 58], [90, 115], [24, 50], [31, 57]]; loss = 0.024590 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/optim/lr_scheduler.py:209: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+Epoch 0: | | 1000/? [10:28<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistivalidation step 1000; scene = ['49b8f80c849dc341']; context = [[62, 87]]
+Epoch 0: | | 1009/? [10:47<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1010; scene = ['917a89fdc7272009', '5eee3bba5d8a0af0', '09857c20a9b14df3', '184fb534f9aca4da', '51e6b1d7cd013f21', 'aa85d24bbd87a8a6', '10c6540f2e3af25b', '9159925b118937a4', '13c85315b9e987d9', '3075c400813b4fd5', 'e0fc35891bf29a7a', '8b5c24358ec92b0c', '8376f898eabbd0e1', '8da41667e8f33d92', '0ddb1fa8f7729c9f', '9d714edfee008fc2']; context = [[48, 73], [76, 101], [100, 125], [36, 61], [30, 56], [190, 215], [49, 74], [200, 225], [230, 256], [56, 81], [3, 29], [145, 171], [47, 72], [79, 105], [8, 33], [1, 27]]; loss = 0.033434 low_pass_filter = 3.333
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 1019/? [10:53<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1020; scene = ['06c7cb360e434de5', '68d0e78200de8dbf', '7567fe94d4fba9d7', 'a0493b972780d9ae', 'dbbd2d62968c2aab', '7eb1c8969766243e', 'abd353eabd0dea01', 'b6cacdcdab5755b8', '7e731568d0288a55', '085ff8ed78f58252', 'b6f08954c7c64f59', '700d4f6b814c5dd7', '770ffcd0c79519aa', 'aa3520c25c879a9f', '9530c8a093a39160', '3195acecb19b0955']; context = [[39, 64], [129, 154], [34, 60], [86, 112], [92, 118], [0, 25], [21, 47], [3, 28], [214, 239], [156, 181], [4, 30], [10, 36], [101, 127], [53, 78], [31, 57], [182, 208]]; loss = 0.031330 low_pass_filter = 3.333
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_parent_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_center_diff_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_parent_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_center_diff_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+Epoch 0: | | 1029/? [10:59<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1030; scene = ['1ad7adae6a042ce1', 'df0ac86df48f6d06', 'cc6c8d74122beb91', 'cbb91c77a7526d61', '4edcc58025a77735', 'b1dd1726f1f46b42', '15f14a9a8d3f7769', 'dacf77dd43f1d0f1', 'e53a82bfe84a2251', '1018776739e1250b', '0c52454885189188', '7e25e7669443bd73', 'cabe1e553676170f', '29fabf56364e9d1b', 'e58feef82356fb26', 'e2202f60a31710bc']; context = [[10, 36], [92, 118], [15, 41], [25, 50], [18, 43], [76, 102], [7, 33], [119, 145], [0, 25], [58, 84], [29, 55], [46, 72], [95, 120], [14, 40], [181, 207], [180, 205]]; loss = 0.030401 low_pass_filter = 3.333
+Epoch 0: | | 1039/? [11:05<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1040; scene = ['e28ac2de4b57c0fd', '71499e389bdaea92', 'd7c0ebc89793e158', 'b428645647d53e65', '1c1f2b158b8527cc', '5a23762e2edbeba0', '581d57e13e40094d', 'cb64aaa680fba010', '3f7c40c559810888', '2edb7ac3009c5f9e', 'f7887b5d47d53d20', 'a79888bb552c7862', 'cb7487a5189f6b2b', 'dd71da9a017228df', 'fdbfe35f5940d3ad', '4a7a158bc511d737']; context = [[27, 53], [11, 37], [90, 116], [69, 94], [25, 50], [3, 29], [32, 57], [101, 126], [63, 89], [17, 42], [46, 71], [135, 161], [10, 35], [104, 129], [115, 141], [221, 247]]; loss = 0.029429 low_pass_filter = 3.333
+Epoch 0: | | 1049/? [11:11<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1050; scene = ['200afae0928a1372', '88402eba1dca60a2', '7fbbee2db2e6cd4d', 'd23843ee6485a4ca', 'a2c884e396d7f501', 'ebaeb44a88de9332', '6af98c375abdb63d', '38c220ff58e572ac', '527265924b9b6375', '2962175a510cf868', '94418a5db600cc33', 'ff476ba779fd6021', '518200a52559d895', 'ca342b60ac94b65e', '0d4ebded1cdfa14c', '7f9be765fc88ada1']; context = [[140, 165], [38, 64], [59, 85], [24, 49], [122, 148], [18, 43], [117, 143], [106, 131], [7, 33], [4, 29], [16, 41], [86, 111], [7, 32], [199, 224], [14, 40], [23, 48]]; loss = 0.026817 low_pass_filter = 3.333
+Epoch 0: | | 1059/? [11:18<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1060; scene = ['eb5a6e0843067cdc', '3ebbf175cda595a2', '1cf5589d5ecddb95', '74eb411688ba5e15', 'b071ad8689db9c26', '5c50277359a0843c', '26ea8cc2791328c2', 'ac64989dd2b2a22a', '6955cf41eb23fe3b', '39f7c76ef42ac1d4', '0f04f8ee8b2396c7', 'aaece70a39dd3257', '0d8f65989586d136', '7fde9a464e6b2a7b', '55f0fab213db4673', '104d225e8ec52733']; context = [[27, 52], [72, 98], [83, 109], [16, 42], [156, 182], [63, 89], [209, 235], [90, 116], [3, 29], [21, 47], [89, 114], [60, 86], [246, 272], [35, 61], [1, 27], [18, 44]]; loss = 0.023362 low_pass_filter = 3.333
+Epoch 0: | | 1069/? [11:25<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1070; scene = ['e6d924f92f44c985', 'c96388f9522a65b9', '3193e8bf21491023', 'b86dc6a2be5101ab', '42df8c69e0daeec6', '95908390cfcab857', 'ebf1a7e113d1cfd2', 'c8a89452aa4cf54f', 'c5f6f1a662e28071', '3678468a9d6d42cc', 'b950cd4348d01e2a', '623d5619e4702864', '804998e7ec39d253', '0d75be966f561519', '0d32af0aa9eaae9a', '68528e468bf52aca']; context = [[162, 188], [60, 86], [50, 76], [16, 42], [43, 68], [77, 103], [148, 174], [9, 35], [180, 205], [124, 150], [46, 71], [206, 232], [50, 75], [5, 31], [14, 40], [53, 78]]; loss = 0.026986 low_pass_filter = 3.333
+Epoch 0: | | 1079/? [11:31<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1080; scene = ['5fe123b3d2013cfc', '05c25202589a6f81', 'c6cdc4c9282bd491', '8b3e50b64cdb9a4a', '34a9201614a19005', 'b765858262583af6', '7f20b3df52cf4e98', '43c619a8b35c357f', '32ed60ed023b59cf', '0560b7d07f6e6899', '262a536e25e2ae43', '572d67c3862dd6e1', 'd59ab97b03d1164a', '46480458ef51b393', '03d3092e230ed7f0', '79f4ef188c1f0a3d']; context = [[10, 35], [39, 65], [83, 108], [43, 69], [122, 148], [80, 106], [25, 50], [51, 77], [2, 28], [0, 25], [25, 51], [212, 237], [19, 45], [27, 52], [33, 59], [42, 67]]; loss = 0.026408 low_pass_filter = 3.333
+Epoch 0: | | 1089/? [11:37<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1090; scene = ['b333ae137d9b364d', '111edff73abfa215', '03150a5a24b88cf4', 'fa3c714f9feb0ca1', 'b4a5824300555fe9', '427dbba2f4ddb5ec', '423fb23a46b7ad6e', '9589bf6c34437171', 'ed90fc76c5f364e8', 'e81375f276552936', 'ec9ce5f9d9512215', 'fbf467b7610b569c', '49e4f5365be165ee', '34580d00589eee64', '3205bb1ec6c5e8a4', '24a2c0442c06f4ec']; context = [[126, 151], [13, 39], [183, 208], [110, 136], [41, 66], [19, 45], [18, 43], [57, 82], [14, 40], [36, 62], [61, 86], [77, 103], [5, 30], [70, 95], [0, 26], [48, 74]]; loss = 0.023884 low_pass_filter = 3.333
+Epoch 0: | | 1099/? [11:43<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1100; scene = ['d8c0b4ca0defd965', '73a06272f1314473', 'd5ae945909789ef7', 'da86c1e65642aa38', '37c5b704883ea1b7', '6d49fec0fd3dbea0', 'bcede31352c7bd4d', 'bb5bb772c9c01b1a', '309060e859c57cc7', 'bf5caf81dc58798c', '10e11b3eb5bba7c9', 'a23531e747abeb94', 'd40a51a67fb79544', '0880f556a19d07f5', '577c560e66207737', '9b6a57a6ff02dd12']; context = [[187, 213], [19, 44], [12, 38], [29, 55], [18, 44], [128, 153], [40, 65], [28, 53], [67, 92], [51, 76], [17, 42], [63, 89], [3, 29], [88, 114], [6, 31], [20, 45]]; loss = 0.031188 low_pass_filter = 3.333
+Epoch 0: | | 1109/? [11:49<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1110; scene = ['6f4c2dbdf3261ce5', '3e2671d001ec3490', 'eed911184d146626', '50632d01cdc990e2', '5080347450bbcb08', '987ba4e94414a901', '2d96aa51d8a0f0ba', 'e59de5847cdb3d38', 'fc53427e7c49a7c5', 'ce3f4b5b14d97861', 'abf076da45e3fea5', '89afd4c5470e2516', 'a7a54b27565d7c3e', '62999865ac9eb455', 'b2a4b10693604581', '4a9927480f8c43b7']; context = [[46, 71], [99, 125], [9, 34], [0, 26], [86, 112], [15, 41], [150, 175], [31, 56], [6, 31], [27, 53], [35, 61], [195, 221], [59, 84], [2, 28], [32, 57], [83, 109]]; loss = 0.024603 low_pass_filter = 3.333
+Epoch 0: | | 1119/? [11:55<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1120; scene = ['12bc55088cf2ce58', 'f0775b5ffdfb27b5', '24d4b58914a78163', 'd9dae14cb7376287', '3b4e220f6d18d61b', '86dbd3d7c71e63d9', 'aeee3481d2a8806e', '8b598829b949bb07', 'ffaf31567af2b895', 'e41915761acdb093', '14b8447b6a98961f', '782bc1eb4be1cb89', 'bb5cc95dd4cf749c', '47d9f6977b05f18d', 'bd84e78a498e4af5', '43cd8bfd1bada381']; context = [[32, 58], [54, 80], [15, 40], [62, 87], [6, 32], [12, 38], [55, 81], [40, 66], [90, 116], [160, 185], [35, 61], [174, 200], [5, 30], [110, 136], [45, 70], [0, 26]]; loss = 0.024121 low_pass_filter = 3.333
+Epoch 0: | | 1129/? [12:02<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1130; scene = ['d4450052d60e5f31', 'c05818414f7e530b', '0fd0ead3c363584e', '10fe0d451220407a', 'e46419c7826b661c', '7d6557b3ee6eaa8c', '26e1218850abd298', '5f0f26d2f069837f', '73dc27448e4f065a', '757f85ef4b708166', '4c8ecba879bb3eed', '2443e886f743cc34', 'c6ea933d1fff0d59', '2e4d16122bd76f43', 'ca89e36b41581eb8', '01669ff74c56d315']; context = [[51, 77], [41, 67], [1, 27], [200, 225], [13, 39], [49, 74], [26, 51], [28, 54], [1, 27], [133, 159], [38, 63], [10, 35], [26, 51], [161, 187], [35, 60], [0, 26]]; loss = 0.022022 low_pass_filter = 3.333
+Epoch 0: | | 1139/? [12:08<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1140; scene = ['c70fbfe2ea94f606', '2a5ba4ced1bda07c', 'c49dfdcdb8ec5967', 'a02a9658551d219d', 'ee308e09e3e799e5', '25a066a44d4fbfe2', '46f0491eb7365360', '665049a1c88afbac', '540bc85f7c1b643e', 'aa5e9a3df7061a58', '6a140ea6d457efae', '11d0d75085bf9ce0', '86c89319605a764c', '1b91d2fcbd0b384b', '72271741f674be7c', '88a6790c97629d07']; context = [[34, 60], [22, 47], [67, 92], [18, 43], [73, 99], [11, 37], [37, 63], [26, 51], [9, 35], [17, 42], [36, 62], [98, 123], [3, 28], [43, 69], [4, 30], [12, 37]]; loss = 0.025154 low_pass_filter = 3.333
+Epoch 0: | | 1149/? [12:14<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1150; scene = ['2c473fa113c38037', '232761a3c36250db', '112202d9b9402f09', '6fb75705002e9a71', '96c546893e58e713', '68bd44a4d3385359', '76d49efbac8550f2', '6edfc46eec151202', '139fa8c7577496de', '4b435ca0a80ee76f', '9cf4511625b44389', '3b8abe0cda9917e4', 'edb67472914edb3e', '1c2e5f0ee4f0a04d', 'b628c72cc878780f', 'e294f1cd6bcdc9e5']; context = [[44, 70], [25, 51], [179, 205], [68, 93], [51, 77], [181, 207], [145, 170], [50, 75], [9, 34], [117, 142], [81, 106], [46, 71], [16, 42], [107, 132], [191, 217], [63, 89]]; loss = 0.027819 low_pass_filter = 3.333
+Epoch 0: | | 1159/? [12:20<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistitrain step 1160; scene = ['8a5f209051718c6a', 'fe3c04bb10b12d55', 'cd7355ffcbc5a2f5', '1f4d538755177e00', 'f591700701a47d5f', '3624134e157585a8', '2e6b110a34be80f6', 'db21d3ab55c463d4', '263171a60cd3c274', '7e17d1e974838e4f', 'eb0b3196ffb44444', '9af60e3183731e2b', '7aa0b1804b14144b', 'd0163ac6077217b4', 'e8bacc515eee9906', '8e6dd682ca06c962']; context = [[48, 73], [34, 60], [28, 53], [29, 55], [43, 68], [27, 52], [112, 138], [62, 88], [155, 180], [82, 107], [41, 67], [79, 105], [6, 32], [123, 148], [34, 59], [76, 102]]; loss = 0.026443 low_pass_filter = 3.333
+Epoch 0: | | 1169/? [12:26<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1170; scene = ['0c53190f1c2bf1b0', '9bddf9777577b540', '95683816b2782fc2', 'ef767501ebc1cb8a', '5065b9cb94d891bb', '7973781f09bbc41d', '0c2dec20ab27ba71', '92f0ac52daa463b6', 'da56c7ef9df14143', 'd6908f33460b023b', '960daf58070c833a', 'c2883a1b59efa9cb', '055f4c034400a175', '7b23e4a0c4ea3e95', 'a02a57c926d1ae45', 'd2b34cb3b5d00afa']; context = [[0, 25], [75, 101], [20, 46], [175, 200], [103, 129], [18, 44], [54, 79], [6, 31], [13, 38], [3, 28], [43, 68], [73, 99], [37, 62], [23, 49], [50, 76], [46, 71]]; loss = 0.022040 low_pass_filter = 3.333
+Epoch 0: | | 1179/? [12:32<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1180; scene = ['7c5aecc1f97fde06', '22b12e74502378c7', '47c705d2d6d65b23', '3812f04df4ff98d4', '62c6c5f93e65ccd8', '9beaf5d0ae3a7903', '20b3937a5b0c8384', '41454feb44f3cc7f', '1f5f168725874f3e', 'b9e20c6ca2630cad', '7836200c75b0e42d', 'f1847f1633c71974', '2ae079dcad63c1c1', 'e93bb5f352f12779', '02ce170824e128dd', 'b7d0632fc6b2d46b']; context = [[1, 26], [11, 36], [39, 64], [91, 116], [4, 30], [184, 210], [9, 35], [71, 96], [77, 103], [27, 52], [63, 89], [38, 64], [219, 245], [168, 193], [183, 208], [132, 157]]; loss = 0.020595 low_pass_filter = 3.333
+Epoch 0: | | 1189/? [12:39<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1190; scene = ['87ddb273a2668496', '4188a5e607ad1fb9', 'd9f4d087b09b5361', 'fd736740ea4abcc7', 'bf8d7d53329bfcde', '05f3364c68280447', '3d187ef47213b513', '7bdae1fbfeca5814', 'd72f1c9631d56256', '6d849ca53f62a5b7', '203149d77d4e35c2', '9cc6a832ffde1cbb', '3cca5bd6f63c23a5', '4625967cb4399fe0', 'fc5fe3d19d1bcc3e', '887c6aa71d5e23f1']; context = [[107, 133], [83, 109], [2, 29], [13, 39], [37, 62], [60, 86], [6, 32], [188, 215], [4, 30], [107, 133], [72, 97], [8, 33], [22, 49], [17, 42], [8, 35], [24, 51]]; loss = 0.021725 low_pass_filter = 3.333
+Epoch 0: | | 1199/? [12:45<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1200; scene = ['e58f27f45d7cce3a', 'd02f8cad1ec64f2c', 'a89d49837b7303c5', 'fbf766898680aef1', '0baa25d1cb97a27f', 'dd0486313ddc7f1c', '95aae109e91f511d', '8cb3deb4666c76f5', '8e50829d45f121f2', '1f2536c42dccb36b', '47b85baf9e4e8a1c', '02a4144482a9daef', '06f55714ca5e219a', '50873cd4150bd263', 'ff3866d1f150f06c', 'dec69f4f1cb29569']; context = [[109, 136], [31, 57], [0, 26], [7, 34], [6, 32], [104, 129], [28, 54], [157, 183], [56, 82], [112, 138], [93, 119], [36, 62], [71, 97], [3, 29], [9, 36], [90, 115]]; loss = 0.022111 low_pass_filter = 3.333
+Epoch 0: | | 1209/? [12:52<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1210; scene = ['fcb4dfba1a945a4b', 'a30d9527ed0e0748', '73d873a180e058a5', 'd4897a4c90c37caf', 'ffc9008285548ff5', '813e1189dcfd7c30', 'b3f9bb0c99776a79', 'ca024568a48933be', 'daf0904eab3b35cf', '4a92e8a638e8c57c', 'af0517fa98077a1e', '665d429d01b05d14', '830cc256a754ed8e', '8145a4774a6a2fd3', '309a175f1e06b80a', 'bbc62daeaf77bf4f']; context = [[83, 109], [22, 49], [161, 186], [82, 107], [97, 122], [16, 43], [38, 64], [56, 82], [71, 97], [30, 57], [32, 59], [55, 81], [18, 43], [46, 71], [39, 65], [1, 27]]; loss = 0.025472 low_pass_filter = 3.333
+Epoch 0: | | 1219/? [12:58<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1220; scene = ['1da5bd3938d1106e', '1e39b2eb951d0d1b', 'e5447ec8725011a0', 'c2f2994c1329cf74', 'b8252179ea1e7036', '228568723e619e85', 'd3ecc9f89d8163a3', 'a5bbbc8bf57c2d39', '99c8545c72314b71', '625eef7459761a4d', '5f19c87933afd12e', 'e3b1a68ce2293863', '4c8f13f305e4abdf', '0081dc6b188fefe7', 'd379feee7af01593', 'a810c60104f378ad']; context = [[128, 155], [10, 36], [127, 153], [4, 30], [17, 43], [46, 71], [86, 111], [137, 164], [0, 26], [23, 48], [16, 42], [75, 101], [50, 77], [40, 65], [81, 106], [60, 86]]; loss = 0.020330 low_pass_filter = 3.333
+Epoch 0: | | 1229/? [13:04<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1230; scene = ['24b8103eb6fea42f', '947f348fccdcce56', '76cad7284ada1227', 'b8bcd6af0ef63ab1', '03ea388058ebd7c7', '2570a14e40c92d75', 'db9459595f461e15', '56cf9bf99311c357', 'e485bf80f9a3f7e1', '07219a30092595a2', '0db71132ccfdfa95', 'f1a61757f68774d2', '470f6a9cdba0a1d5', 'b9ffdd6786ddc018', '95cd28864a17ccca', 'fb73c1c5f2889329']; context = [[5, 30], [216, 243], [7, 34], [1, 27], [20, 45], [39, 65], [161, 187], [67, 94], [2, 27], [74, 99], [5, 32], [42, 69], [18, 44], [78, 105], [56, 82], [35, 60]]; loss = 0.025029 low_pass_filter = 3.333
+Epoch 0: | | 1239/? [13:10<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1240; scene = ['23358c2cc3e7e8fa', 'da1f9f2859b59142', '5c1d013893a69fb1', '9662f49b6a764dfb', 'a92ec569ae5c2a73', '5542c47d00e5ad3f', 'a1fa4bf737381a53', 'e620345f5468d2e3', 'f30398f000a252c0', '32f7b46d278e4954', 'd8fd980f911631b9', '50647477856e6833', 'c223600fd4ba02d7', '345358687532f52c', 'c6b6d3ccd25bb2cb', '2719c26d03b2054b']; context = [[160, 187], [58, 84], [18, 44], [126, 151], [52, 78], [150, 175], [52, 78], [26, 51], [40, 67], [65, 91], [0, 27], [25, 50], [23, 49], [113, 139], [89, 114], [158, 185]]; loss = 0.021617 low_pass_filter = 3.333
+Epoch 0: | | 1249/? [13:17<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1250; scene = ['83a20ad0a61f400e', 'c00aa176dbded93c', '0b4c2c46d09e60de', 'ee0170b8aa621c0f', '8f93b1f88915ec0e', 'aa0480c4085e88aa', '48b1e8b1130a75c8', 'b77d133bef4fa907', '60756c59813ae4fd', '11d971d7a14928cd', 'bf0c3ff5d1a3df4e', 'ad218b07f21fde5d', '859722e52191814e', '1e5630a1bf806a70', '1d8cdf272844d0e7', 'd69d8870df582b0a']; context = [[8, 34], [45, 72], [155, 181], [37, 63], [11, 38], [5, 32], [9, 34], [189, 214], [7, 34], [76, 101], [77, 102], [31, 56], [0, 26], [60, 85], [104, 130], [3, 29]]; loss = 0.020589 low_pass_filter = 3.333
+Epoch 0: | | 1259/? [13:23<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1260; scene = ['f2b4a68dcff736ab', '9eb1cb80a1e94817', '20c639dc41a7bf7f', '06f73e2d9a53a6eb', '3c0a13b7637af7fa', 'e465c16e4ba9fcb8', 'b1c71220312bd8d7', '3685bb1168fb8031', '7332947ada1572b7', '5fec984bfa36becf', '68a85b63caa319b4', 'af10100731bf2226', '02a58849f00b13fc', 'e59b7aa524c9f1dc', '42cbcff752b6b688', '9ba2d62e72db7145']; context = [[34, 59], [25, 52], [149, 175], [136, 163], [32, 58], [73, 99], [23, 50], [106, 133], [28, 53], [187, 213], [16, 41], [22, 49], [4, 30], [66, 92], [51, 76], [28, 55]]; loss = 0.024624 low_pass_filter = 3.333
+Epoch 0: | | 1269/? [13:29<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1270; scene = ['ef6401c117a2701a', 'e994872e832abcd6', '803178124802c1aa', 'ba910ed9ffed394d', '6f4a43a4f3c0fb6c', 'f429e6d259c28372', 'c555b5ae8249ea79', '311e7ad62f542ce2', '85f8f13158886489', '38f2d8425c2c413b', '458766c5d05f8d15', '903117ac67b912a2', 'fe06a555231819c0', 'ce53ab61724efa79', '9bfb9a67d9cafdfc', '456aecc893a4653f']; context = [[40, 65], [34, 61], [61, 86], [4, 31], [13, 40], [50, 77], [13, 38], [70, 97], [134, 161], [3, 28], [83, 108], [17, 43], [140, 166], [32, 58], [41, 68], [175, 200]]; loss = 0.022808 low_pass_filter = 3.333
+Epoch 0: | | 1279/? [13:35<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1280; scene = ['cc6379f86543e2c7', 'bba92b2f199e4e80', '7256306ee88ff0a3', '71fb2a3a5f745849', '41640d448887e237', '1562917348b9dea3', 'ed8132a90fd5cedd', 'd73b7d57dd76d4ae', '162d34cd96a0899d', '76afa68a52241dc4', 'a6cc1f957f873178', '414454ff64681a93', '1403da8c328f29d4', 'b18ac63baf4baee0', '6e2c73ab63bf5e87', 'c6c0e46d5daafd20']; context = [[146, 172], [90, 117], [52, 79], [12, 39], [19, 45], [12, 38], [4, 30], [69, 94], [175, 202], [15, 42], [105, 131], [34, 60], [158, 185], [17, 42], [86, 112], [61, 86]]; loss = 0.021223 low_pass_filter = 3.333
+Epoch 0: | | 1289/? [13:41<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1290; scene = ['cd6c21656a85e9b9', 'd8e1f8ca9a8f6d75', '538591ce295ffc23', 'de41f796919fa481', 'e324acf1610847ca', 'e0585142f1602430', '0956329fc4d362a7', '9ab9a834066a3287', '8af741a43dbf8aed', '2889424e1627e36e', '9f55a331f0e02fcd', '97bc9f9fd9f493e5', 'c69838b39a586dca', 'f98c4f8284140152', '9a45995c95b9df54', '98fb604e2b221457']; context = [[14, 40], [9, 34], [36, 62], [35, 60], [21, 46], [3, 28], [18, 43], [110, 135], [41, 66], [91, 118], [46, 71], [64, 90], [93, 118], [228, 255], [115, 140], [24, 51]]; loss = 0.021859 low_pass_filter = 3.333
+Epoch 0: | | 1299/? [13:47<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1300; scene = ['bd781c735a39b252', 'e6910569bc347ba2', '51e7e2abc42fff2f', 'e567c08401dda8a7', 'dd249f6269133fd4', 'f6eb748a01065695', '154ca1b40882c2ba', 'e9e020c514404b0c', '313139806de65869', '25f120b63c777a3d', '73d0cc9f88dd47a4', '86cfe990f194bb9f', 'cb17460c2a53d3d3', 'acc04053479de7b6', 'eda827d23766de0e', 'a640a55439a43108']; context = [[2, 29], [66, 92], [6, 31], [8, 35], [166, 191], [34, 60], [26, 51], [24, 51], [19, 45], [102, 129], [26, 53], [47, 72], [65, 90], [70, 95], [11, 38], [46, 73]]; loss = 0.023118 low_pass_filter = 3.333
+Epoch 0: | | 1309/? [13:54<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1310; scene = ['81f3520774d1a1c6', '620d222665049f34', '0ec197e81b8d0f77', '780ad45fced462d7', '6aa927450138c021', '58f4b2ce84d33565', 'bbb36359cd553f3a', 'd2757e2b5edb04c5', 'be6471058d2d22ab', '93fb96bc2d3b8bff', 'e84178ef466d3974', 'a9b070f212e5f277', 'a98ec507d448dea2', 'fd76f881e1223b09', '57dbeb44c9b27b81', '0b0fe0d86da5a167']; context = [[7, 32], [19, 45], [76, 103], [31, 58], [177, 203], [130, 157], [44, 69], [44, 71], [43, 68], [53, 79], [72, 98], [160, 187], [62, 88], [17, 43], [38, 65], [2, 29]]; loss = 0.019323 low_pass_filter = 3.333
+Epoch 0: | | 1319/? [14:00<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1320; scene = ['443f21df464db8cf', 'c33b9080e273000c', 'a230308a0397ec12', '3909231098c2f263', '0e4dc00fb343099c', '3deda316f214ee89', 'c202eebff41099ba', 'a5ab3c04cadb399b', '50bb0587e8b1924a', '5e00fe8ddb44c346', '348f41557b28f27c', 'e246fc179798ef43', '8acbada3de9d0256', '8c511adfe1edf981', '6918eddc5ff5ced2', 'feeef6e1343ba933']; context = [[61, 88], [107, 133], [32, 58], [20, 46], [0, 26], [118, 145], [1, 26], [112, 139], [117, 143], [22, 48], [114, 139], [80, 105], [99, 124], [27, 52], [4, 29], [45, 70]]; loss = 0.018429 low_pass_filter = 3.333
+Epoch 0: | | 1329/? [14:06<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1330; scene = ['4d175e1722d51d15', '53c526ec529330bf', 'fa49b8a4ce355d53', 'aece6bcce31218a6', '562bb0d240bb37ff', 'd17f34407a5b4eae', '2813e378279c4fad', 'eec5b25d9b090878', 'be15a3c0fd266f0f', 'c5f9ca57f5873e3b', '1da206992563b2b9', '24ac625c8f95dd37', '399b6534f47214c2', '2f321a2fbb58cb79', 'b71fbffa97db928f', '3fb2a360fe3a0dd2']; context = [[55, 81], [98, 124], [38, 63], [6, 31], [49, 74], [16, 42], [206, 232], [0, 25], [114, 141], [92, 118], [23, 50], [41, 66], [184, 210], [85, 110], [37, 63], [75, 102]]; loss = 0.020226 low_pass_filter = 3.333
+Epoch 0: | | 1339/? [14:12<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1340; scene = ['b68241a4ef2809bc', '53a8dc913dbc5a8c', '52ee29e2ce0a132f', '2cdc2ed1b8813ab1', '1d60c040046aab31', '3765ecbfb3a165bd', '8b8a871ef6c8045b', '344b8a6319bec5ab', 'f23e4d3afc46ac29', '57f5506e3257f4b2', '3691cd26c7100116', 'd678738b34c57d8a', '6c3a8d059e82f912', '2717a1836dbb53d9', '1cbee92f071ca0fb', '9d964899db881b2c']; context = [[25, 52], [89, 114], [60, 85], [32, 58], [41, 67], [119, 144], [60, 86], [11, 38], [144, 171], [56, 82], [74, 100], [43, 68], [37, 63], [7, 34], [12, 39], [182, 207]]; loss = 0.022651 low_pass_filter = 3.333
+Epoch 0: | | 1349/? [14:19<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1350; scene = ['c7462f6b97947601', 'e4832b64e5b73784', '0139d9fa2834c496', 'e0e22ca4dce43fea', '26894d5903d41150', '3d4ae910ff347e3e', '5b9d84d47b1ea410', '75a8c9852f5cae9b', '09a6aff7b9769dfc', 'eca311ee088fb239', '96e60aa2260cee08', 'bf6673b014c4b426', 'c842ce5440a03704', '38834e0675604b7b', 'e6828e4eb26c2f83', '6993473d6d315d1d']; context = [[7, 34], [9, 34], [191, 217], [3, 30], [86, 111], [26, 52], [50, 75], [24, 50], [8, 34], [1, 28], [9, 36], [15, 41], [128, 153], [13, 38], [115, 140], [14, 39]]; loss = 0.018695 low_pass_filter = 3.333
+Epoch 0: | | 1359/? [14:26<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1360; scene = ['5bbda319111f9dea', '519ee1fb2d68f039', 'cbc71a203e10b3c6', '523d8fec764af182', '37b593ab757771b6', '4e01092da9625335', '83d2aaffdfe0fffd', 'c331ebdb898c377a', 'ddc11c891f471dd0', 'd5a86126a4e39e7a', 'e20f3440223cbde1', '12e85fb6e140ee85', '07790cb4884e1502', '7d697ca690248324', '837a853e726c6ad2', '43e59b21a3805c73']; context = [[56, 81], [172, 197], [119, 145], [11, 37], [3, 28], [119, 146], [176, 201], [34, 59], [66, 91], [54, 81], [35, 61], [21, 47], [45, 72], [13, 40], [11, 36], [131, 156]]; loss = 0.019578 low_pass_filter = 3.333
+Epoch 0: | | 1369/? [14:32<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1370; scene = ['d095902f17028960', '93fc382a94286786', 'bd36807dafbe8c58', 'c7415f2942f33110', '548ad1b923e633d8', 'ff731e78060eb888', '26b8065adc153c13', 'd580f973b11b17fa', '4e437d66420067c2', '4e4985c5a76ac0e5', 'c3165a339b9a09e5', 'd4958f58a569c0cb', '2a4fe9d5f507d831', '5ac80497fad02a9a', '259a3164730654e9', '92a1f3ab5dbe634e']; context = [[29, 56], [10, 35], [11, 37], [4, 29], [4, 31], [19, 44], [66, 92], [208, 234], [9, 36], [57, 84], [163, 190], [135, 161], [35, 61], [33, 60], [40, 67], [13, 39]]; loss = 0.020974 low_pass_filter = 3.333
+Epoch 0: | | 1379/? [14:38<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1380; scene = ['188e6ed22a7fd36d', 'b6a96ac39415c7eb', '4cc1fe94dc835080', 'bda1da95e32bfa6f', 'b1ddaa87daa7e8c4', '231b021798b62c23', '75658e8027c86067', '0a9dfffcef241987', '43d6c0f25725e6cc', '68657e48548014c1', '390c16381bcb8a76', '53444636e876dab6', '8939b98ed0a32929', 'b861254595ef36a0', 'df7483e3abe31e97', '6762b70cfb8a36d5']; context = [[38, 65], [2, 29], [109, 135], [29, 55], [62, 87], [40, 66], [45, 70], [61, 88], [11, 38], [40, 66], [14, 41], [125, 151], [44, 70], [45, 71], [119, 145], [147, 172]]; loss = 0.020237 low_pass_filter = 3.333
+Epoch 0: | | 1389/? [14:44<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1390; scene = ['5845df26727f9a9c', '7af47ea3a7db02cd', 'ffc17b42b9b19c90', '8bff6dfd39e98bb0', '71eb4467bf241478', '1f6ad370994d583b', 'cded1d6471249eb8', '5d6afe2e0975c16b', '4914161135e0191e', 'b5e0441cfe20034c', '60981b21dabe4e2a', '3ab61550a3a02ca4', '755629a58eba68f0', 'dbb18d75e5600794', '2bdc0fd8c339c3f5', '2cd9451a8f8f8f72']; context = [[52, 79], [6, 33], [84, 111], [59, 85], [23, 48], [125, 151], [21, 47], [7, 33], [80, 105], [0, 25], [23, 48], [19, 46], [210, 237], [0, 27], [61, 86], [75, 100]]; loss = 0.021740 low_pass_filter = 3.333
+Epoch 0: | | 1399/? [14:50<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1400; scene = ['3aa1b31b218bbda3', '502f46627ef7692b', '8d5406cd225237f4', 'bb541f2c0409a5cb', 'cb7e22191dc3a20b', '56ba21867ca58ed3', '91fb76c74c6fe7d9', '64bb6fe5f0484ccf', '52e55a9250f55a45', '105d995e386ac845', 'ce0e20a4bfd3ce6c', '3854d2ee21c7777a', 'be438e2866712dde', 'b4e7bdfe326febef', '3a58b9a19697ebee', 'fe08a0854434930a']; context = [[48, 74], [13, 38], [3, 28], [251, 278], [3, 30], [181, 207], [8, 35], [126, 151], [32, 57], [35, 61], [22, 48], [16, 42], [94, 119], [16, 41], [9, 36], [81, 107]]; loss = 0.020054 low_pass_filter = 3.333
+Epoch 0: | | 1409/? [14:56<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1410; scene = ['57af18aad3517def', '83f6f1d6f7bc3145', 'b690a44f418ac4ca', '02af8885e7cb41d7', 'eda9a550ecd42a6f', 'ecf44fdec12c9ddc', '8379b59afe807099', 'ece06aa8ec578fc5', '532b4823217b37f4', '72655eb92e7a819e', '5635caabe31c654f', '4828d3b7ef441838', '3f1f6c65bc38ba4b', '0bc8cc9ea82a89cc', '24dde142693c6090', 'ea9bb07d43b25381']; context = [[0, 25], [11, 37], [92, 117], [25, 52], [9, 34], [60, 86], [227, 252], [8, 33], [128, 154], [102, 128], [116, 141], [130, 156], [28, 53], [53, 78], [0, 25], [62, 88]]; loss = 0.021205 low_pass_filter = 3.333
+Epoch 0: | | 1419/? [15:03<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1420; scene = ['2aef3ad326754282', '607df63ac84ed24b', '7fd22122081822e6', '3ffaae059b8246c5', '74dcad37801d064a', '02e2b6f027f4aff9', '03b200f98be1abc1', '10af229200d8e189', 'ba6091fde6e9ec9d', 'b69737f8793f8741', '2bbe015bfbec987b', '586168cbb8fd4583', 'e6d9e5c4d1e6eac0', '475f76d77a5bbf1e', '2a1831b328268345', '7d72b709f49b961c']; context = [[56, 81], [56, 81], [143, 169], [68, 94], [87, 114], [16, 41], [1, 26], [33, 58], [44, 69], [68, 93], [38, 64], [17, 44], [19, 45], [70, 95], [9, 36], [3, 30]]; loss = 0.022171 low_pass_filter = 3.333
+Epoch 0: | | 1429/? [15:09<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1430; scene = ['e04f7fb189a186f2', '00cdf8750f5182cc', '7aec8305761aba3c', '06021e71c89de687', 'f8fb59071f05cb6d', 'b4afa5f85689421b', 'c7ff883d4ef56b7b', '44ded41b9cf45aa9', '6ab57cd9157e6a56', 'a911a110601a4ca5', '8b4c32a747a57d29', '3aaf196cec8a2321', 'a7856fd2bf7abfff', 'a91273014e18ab07', 'cfb777727f710dcb', '3b66d0bc7c21a606']; context = [[176, 202], [101, 128], [178, 203], [5, 31], [4, 30], [93, 119], [154, 181], [42, 69], [32, 57], [109, 136], [11, 37], [33, 58], [37, 64], [132, 157], [0, 26], [49, 76]]; loss = 0.018690 low_pass_filter = 3.333
+Epoch 0: | | 1439/? [15:15<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1440; scene = ['b3c1b2ae6ceafc55', '6016abdc3fcd547d', 'f02194b56e76b29f', 'e82737e53b7f6515', 'cdef81148d7e3223', 'de504bd8de0b34d7', 'fe545b889554fa8f', '2f64c3963a75cd2f', '23d449ed98df6459', '3a2b8f56c88c71d6', '53ab12b2fa864f2e', '1ebe5e9f0f00bd77', 'aecc01b48165f467', '574de45f1295c3f6', '01f2cacd6196c1c4', 'feff16d3842dd1f2']; context = [[78, 104], [57, 83], [19, 45], [17, 42], [92, 117], [40, 66], [110, 137], [23, 48], [88, 113], [4, 30], [42, 67], [81, 108], [22, 48], [58, 83], [149, 176], [10, 35]]; loss = 0.019467 low_pass_filter = 3.333
+Epoch 0: | | 1449/? [15:21<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1450; scene = ['471727b63053034c', '9a72f13665828446', '15ee0149c03dabf0', 'ed09c2c104691f41', 'e69bc9dfa8547753', 'd87ee6c5ee767299', '5220b6dddbd2b6c5', 'f2133cf68e6b7993', 'da3e683991ed2fc7', '6238b9bd511fd87c', '5167dc2231bfec63', '851ada2e51906f3c', '252aa7d6ffb0422d', '467e6cb4bcb7fc53', '14af89bdc75382ab', '90bdc80baa33848a']; context = [[33, 60], [65, 92], [39, 66], [21, 48], [46, 73], [28, 55], [40, 65], [3, 29], [0, 25], [6, 32], [3, 29], [37, 64], [48, 73], [51, 76], [7, 32], [71, 96]]; loss = 0.017618 low_pass_filter = 3.333
+Epoch 0: | | 1459/? [15:27<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1460; scene = ['024302734be23cfb', '283653f302cda895', '54b4679cff88a6e7', '8926ee7e50292e45', '4bae5fcc074c77ef', 'dc7049ad80e43f68', '22aabb68991097e2', '19c383ad9f21d0d3', 'f53ae42fd04748b9', 'de389793b2411ed3', '24a1a6c52a633727', '2390b6d9b2bf70cd', '56475aa6dd366e20', 'd6df31b91d86f26a', '8e94de9c1bc0732c', '4088226cf84d6641']; context = [[99, 124], [54, 80], [25, 52], [22, 49], [16, 42], [68, 93], [136, 161], [96, 121], [129, 156], [58, 84], [62, 88], [0, 27], [2, 27], [190, 217], [62, 89], [108, 133]]; loss = 0.018973 low_pass_filter = 3.333
+Epoch 0: | | 1469/? [15:34<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1470; scene = ['39e7fa32d953fa6e', '13e0eb10aa5c845a', 'd35650707515c2cf', '8255b64ea7989de6', 'a781aa9c808d47aa', '5dd56196ee851032', 'bdccb33a12175af6', '4aa5669dc0c886cd', '4fd056d18c23b0a1', '14a04b4cda7ef5f9', '4615200729431cf9', 'e9e869bfb9e91e85', 'a2ca64e40c8e4504', 'e7066bc6213cf70a', '7a23fa2da5188bc2', 'f0d2efc6de8d8e8e']; context = [[44, 70], [12, 39], [82, 109], [10, 37], [46, 71], [124, 149], [110, 135], [23, 49], [52, 79], [75, 100], [16, 43], [20, 45], [67, 92], [13, 39], [51, 78], [21, 48]]; loss = 0.020939 low_pass_filter = 3.333
+Epoch 0: | | 1479/? [15:40<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1480; scene = ['c99f7cfff2a3a558', 'a911a110601a4ca5', 'a91273014e18ab07', '7b972598112bba1d', '8b4c32a747a57d29', '9e15e6abde58ecd0', 'cfb777727f710dcb', '44ded41b9cf45aa9', 'fe14169fb3dbe5b6', '5fece0c061a8e0fa', '3aaf196cec8a2321', '01321cb2acbc1789', '6ab57cd9157e6a56', '3b66d0bc7c21a606', '29e66187adc8109d', '3613d171a64c1db1']; context = [[56, 82], [10, 35], [13, 40], [156, 182], [89, 116], [29, 55], [0, 26], [27, 53], [24, 51], [27, 53], [42, 69], [12, 37], [42, 67], [54, 80], [2, 28], [1, 27]]; loss = 0.020569 low_pass_filter = 3.333
+Epoch 0: | | 1489/? [15:46<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1490; scene = ['8b97a226a5f0dc3e', 'a6a55b3c0ac5e758', '791ac11a2f29900e', 'a47bcdf9bd890995', '03a2379e89a8ee14', '225dbb89dbfdf8f8', '794f82190c77df55', 'aaea1523d175b491', '350abc56828c23a5', '78a6eeddf60f13a9', '7c9d80ba810387fb', 'c3650e874d310a95', 'dcbeb67f1bb0a7a8', 'ec5e23007d81eb4b', '2601f8212a78888f', 'c23235f62a322c6f']; context = [[57, 82], [60, 87], [14, 40], [127, 152], [45, 71], [193, 218], [35, 60], [54, 79], [146, 171], [16, 42], [34, 59], [32, 58], [104, 130], [53, 80], [25, 51], [6, 33]]; loss = 0.023199 low_pass_filter = 3.333
+Epoch 0: | | 1499/? [15:53<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1500; scene = ['e39f44aa52d64b39', 'e594526318450281', '663ae54fb0c5ab61', 'ea64386468ff288c', 'bbbeff434b0e07ca', 'd3c7f6d65edf8757', 'da97370838c47a7b', '9d228d632f9612e9', 'cc1fdafaa596fd5f', '7b05f307746ab16b', '4e69e5f13b240972', 'af951254b2254af3', '4cbc09a660b88e25', '47ef1b5ed7e0f8bc', '09939f6760e4afa4', 'a5f0144bd9a5fa8b']; context = [[64, 90], [77, 102], [24, 49], [4, 30], [139, 165], [103, 129], [24, 50], [22, 49], [9, 34], [95, 121], [46, 73], [46, 73], [48, 73], [50, 75], [22, 47], [16, 42]]; loss = 0.020233 low_pass_filter = 3.333
+Epoch 0: | | 1509/? [15:59<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1510; scene = ['bc2eca34027df8aa', 'fd388b248d1231eb', '59e7c3a5fcd5bf16', 'de2ea3a3d17f95b0', 'c4359a079e27d441', 'e68309f89fff255d', '1b6ebc703d3b9697', '8b79d5fab54f0f41', 'a52ee89267dfab70', '75a614e20d102201', 'afb01e1fb64e03e3', '4263e8ea79e1dc7c', 'c6b5d87ebdfdd4cc', '6b4e165700878c6a', '1e6fb6563254c02d', 'f029bf7237a8d92b']; context = [[70, 97], [63, 88], [22, 47], [11, 36], [80, 106], [87, 113], [113, 140], [10, 35], [6, 32], [160, 186], [30, 57], [12, 37], [6, 31], [44, 70], [112, 138], [73, 99]]; loss = 0.023038 low_pass_filter = 3.333
+Epoch 0: | | 1519/? [16:05<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1520; scene = ['e7ae5d42e1d888df', 'f7f0c6e26e4ba0f5', 'f346ad8f09bae95a', 'f9b775ee94d60763', '4009a342664a96e1', 'ed41e978b59c7dcd', '4690c960b7afdb40', 'fc434865599d2fe6', 'ca6fdc4b5c38fc1a', '18f0c92d9d8786dd', '85b956080085cac5', '98735bf18e9d2a52', 'a162cdb8ce63cec4', 'c8510dd2d98c4de1', '4d0c3e56bda4fd40', '2fc891cada0f22a9']; context = [[35, 62], [79, 106], [38, 65], [54, 81], [203, 230], [50, 77], [54, 79], [11, 36], [107, 133], [7, 34], [37, 62], [131, 156], [102, 129], [36, 62], [27, 53], [7, 32]]; loss = 0.019115 low_pass_filter = 3.333
+Epoch 0: | | 1529/? [16:11<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1530; scene = ['321addf5693a66aa', '7351b1a8a7405871', 'c3062cb8fc7a0efd', '56aa1a07e8078b1a', '5bb48faff3b8852e', 'cfddf9bb9307d661', '62e8f32c902fe339', '6f9a3dfc789b9a51', '79c0857364ffcef4', '7c48a30f23ea42c3', 'ceeffa13358a48e3', '61d389bddcbd9228', '246448e7e0c09732', 'f8f81ce73652f17b', 'a3ba516404cbd39c', '664b327ec00f0235']; context = [[68, 93], [15, 42], [146, 171], [141, 167], [24, 49], [149, 175], [10, 36], [21, 48], [78, 103], [46, 73], [96, 123], [133, 158], [30, 57], [189, 215], [0, 25], [23, 48]]; loss = 0.019878 low_pass_filter = 3.333
+Epoch 0: | | 1539/? [16:18<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1540; scene = ['98f99d46d0b636c6', '1e55d866b0335343', 'c520e25d5bd303ec', '7ce59b93cd4d98ac', '30878b54736367da', '37f5c9bd33e92d4d', 'bfa9042d0f35d6df', '63d30096d9447949', '69a31234f2d534f3', 'ecd91cb5b8acbad9', '27df9ee1be012ff1', '9df62c48e94a6bd2', '8b6c25d98b699b6d', 'fda12c961edaa2ed', '46fba2ccb0c2f48e', 'e0c4d841d11abf19']; context = [[2, 27], [184, 209], [63, 90], [132, 158], [51, 78], [188, 214], [25, 52], [24, 51], [0, 27], [19, 44], [53, 78], [35, 62], [3, 29], [12, 37], [201, 226], [0, 25]]; loss = 0.021544 low_pass_filter = 3.333
+Epoch 0: | | 1549/? [16:24<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1550; scene = ['c7515b2d8304ab3a', '9badf4ba1f34f120', 'e048704f3f590ba8', '6e2c73ab63bf5e87', '081919bf31bf790c', 'bd242939c1449d8e', 'baebb7f6b21b1b2d', '3536319c169d43c0', 'b18ac63baf4baee0', '1b7697fd8dfb8717', '07a7501a512358e1', 'c6c0e46d5daafd20', '08751a636714627d', 'c85ef98584c441bc', 'ec56ecaa7be14db0', '7d6c1fd4e7714f22']; context = [[99, 125], [2, 29], [218, 245], [25, 51], [110, 135], [100, 127], [81, 107], [30, 56], [27, 52], [27, 53], [95, 121], [42, 67], [7, 34], [99, 124], [70, 95], [2, 27]]; loss = 0.016884 low_pass_filter = 3.333
+Epoch 0: | | 1559/? [16:30<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1560; scene = ['5352c49242ed5ea8', '5398df70fa449fe6', '5a6f0d61f1e3b83b', 'dea0ecb2d7c064ef', 'f5bee2606e50f3a4', 'aae540ebe4c9f468', '4c823fb946d4ebbd', 'da557a6ffdb660ed', '7dd925c36cbbbbe1', '4395c655707708d7', 'd2e8cf4e3a7c7091', '5e338d0edaed69c9', '1923c17bba10fce6', 'b0ef90705c30b216', 'c2c736c54d6b4374', 'b01df43c4e798a4b']; context = [[139, 166], [26, 53], [132, 159], [165, 190], [174, 199], [27, 54], [3, 30], [14, 41], [32, 59], [188, 214], [13, 38], [7, 33], [30, 57], [50, 75], [7, 33], [101, 127]]; loss = 0.019610 low_pass_filter = 3.333
+Epoch 0: | | 1569/? [16:36<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1570; scene = ['af90a0a7bfb09e86', '61b8e9a04d4980ba', '420abf6c08210c4b', '6ac1609e850602de', 'e0737923208792c1', '63a59d5530371249', '32e727d8ae7909eb', 'cb82108b17ee5e26', '84216623fa45999d', '4cf19d6a6670c140', '2ae58ab852e5f2b0', '58a0b181f4b085a4', '6d18dccb13ee22fe', '06b7373c3e1db7c7', 'd1cec066a405c001', '16089827ac8bfe5f']; context = [[113, 140], [24, 49], [9, 35], [72, 99], [3, 30], [42, 68], [71, 96], [41, 68], [120, 146], [55, 81], [54, 79], [18, 43], [30, 57], [26, 53], [33, 59], [237, 262]]; loss = 0.018901 low_pass_filter = 3.333
+Epoch 0: | | 1579/? [16:42<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1580; scene = ['1ab73610902ef496', '589eca489876d5ce', 'c24e778228e92bab', 'cc0f96cc71a6dd66', '87b39fab5d5d0845', '9dace42deebd482f', 'eb864005eb96e04e', 'fcc7db4ad1f2444f', '6ad946dc7c7a5ae7', 'b57c94bebfabeab0', '8ec32dd001a2b529', 'afbf21db765f449f', '129aa9e63c248582', '96489fd56f875313', '73b234b2701f10c5', 'aeba216f34aff2cf']; context = [[9, 35], [45, 71], [11, 36], [48, 73], [17, 44], [223, 248], [90, 116], [53, 80], [199, 226], [1, 27], [21, 46], [7, 33], [13, 38], [46, 72], [27, 53], [7, 34]]; loss = 0.020129 low_pass_filter = 3.333
+Epoch 0: | | 1589/? [16:48<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1590; scene = ['90510b024ab61074', 'af639164a8dc63fc', '58e8608524c8af53', '687162e3d133187e', '49d6b79b2517c1ec', 'c00094fc65365c02', '2845ebc375b64680', '644288bfbc415e99', 'e468dbe028f3fcbd', '395b94f7cf747d1e', '15f15ef3017065f6', '771aa992eae9a574', 'c6335bb1ed4feee6', '41ce692db2b7b72e', '1c8182e508006626', 'a28f41ab97fb6368']; context = [[0, 25], [34, 61], [3, 28], [6, 33], [69, 94], [28, 55], [0, 27], [117, 143], [1, 26], [61, 87], [226, 251], [33, 59], [40, 66], [164, 189], [74, 100], [201, 228]]; loss = 0.023290 low_pass_filter = 3.333
+Epoch 0: | | 1599/? [16:55<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1600; scene = ['78b144c459f5ff2b', 'a4c64169db7b2845', '07f8f5682ad750c1', '01a8c5f00e17623c', 'cde7d671fa8d61ac', '4b646e9cd1eca47f', 'c7f7303fcbc52b43', '8f55e3be4fc8d508', '4068a60c400421e7', '43073eb89fa57d37', 'da1ec5bea0dee3d1', 'db09edb16cf63afb', '652f860523c0d63b', '22a76d98bd2d748e', '82ccd88cc5bf3f8d', '794b1f61bb53511e']; context = [[4, 30], [6, 31], [8, 35], [106, 131], [0, 25], [0, 25], [65, 90], [57, 84], [44, 70], [24, 50], [103, 130], [1, 26], [10, 35], [82, 108], [33, 60], [31, 57]]; loss = 0.020946 low_pass_filter = 3.333
+Epoch 0: | | 1609/? [17:01<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1610; scene = ['8ac6426cb060bc50', '66ed8d9f52f04621', '9a6451d7cac94bff', '73aa6a629b161d6d', 'd7062606188ddc74', '7dbd9d5adbc298b4', '57970e0833b5963c', 'f4bd64444124a20c', 'bca3877f59d640fb', '8b828069f8f824a6', 'e24bcd02fb1d6e1e', '1afdeca5e59e0ac3', 'dc67497a3e582670', '0144de7e0f137b77', '6a50dc3720276e24', '6415de64be8a1d74']; context = [[136, 162], [48, 75], [1, 28], [2, 27], [30, 55], [6, 31], [8, 33], [27, 52], [72, 99], [61, 87], [4, 29], [147, 172], [78, 103], [18, 44], [27, 53], [38, 65]]; loss = 0.016380 low_pass_filter = 3.333
+Epoch 0: | | 1619/? [17:07<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1620; scene = ['7b6eabbbf765f5d2', 'd47e75b15999fbdf', 'f70e634ec33f861e', '302dce331d4fae7f', '3f46d18800b31883', 'c95e9f2c9f8fbcab', '0ecb8e2597c98e05', '438b09876af8f04e', 'df8aed95e105f065', 'f9b3fd7bc45c853a', '01df58c292aa0310', '1b4c3cfe64fe6067', 'a9909b47ff5dd70a', 'c35dc20bc06a5dbd', '23db21e00f2d8776', '350ee2da20bba2be']; context = [[22, 47], [19, 46], [38, 64], [3, 29], [97, 124], [22, 47], [72, 98], [46, 73], [47, 73], [117, 143], [90, 115], [109, 135], [17, 44], [45, 70], [181, 208], [41, 68]]; loss = 0.019186 low_pass_filter = 3.333
+Epoch 0: | | 1629/? [17:14<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1630; scene = ['26f11847ab7e1b55', 'a7dbd6c8a26b2dbe', '256ae648672281d1', '65fce5bd0d83d483', '93dbd8286e9b7ad6', 'd4947e4e6e324253', 'e70c21625fceaebd', '1e8715fa89b98696', '71da350128beda8e', 'a4a176dcde73ea17', 'f451336748d9ee77', 'ac8df6252c2b8715', 'aa70400f2fc7e975', '5fa60eb00fe9c983', 'afd1b26a7b3f5833', '0c7cadc659ac1393']; context = [[112, 138], [99, 125], [20, 46], [140, 165], [14, 39], [79, 104], [6, 32], [41, 66], [5, 32], [55, 80], [4, 29], [10, 35], [184, 211], [19, 46], [9, 36], [25, 52]]; loss = 0.017898 low_pass_filter = 3.333
+Epoch 0: | | 1639/? [17:20<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1640; scene = ['f34a13eea58b43f6', '947b9b324827c237', '738fc5def84d4b61', 'c7e6247010b2fd76', '42945d638bfac537', 'da1a1a59c2b6b5dc', '96c6e2db1b6b3961', 'e2f199d364a2dd73', '6fc575ee0d5ba914', '75d0d7f85e197e5d', '217c6e278b7b4b91', '313d67b805705572', 'bf1b3df661689e32', 'd432223d014b318d', '39e99101dae5b664', 'c6252c821a5310db']; context = [[1, 28], [43, 70], [7, 34], [69, 95], [124, 151], [2, 29], [247, 273], [80, 105], [7, 32], [93, 119], [10, 36], [28, 53], [13, 39], [14, 39], [4, 29], [18, 45]]; loss = 0.016411 low_pass_filter = 3.333
+Epoch 0: | | 1649/? [17:27<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistitrain step 1650; scene = ['690d71776caf2461', '4c182da5950c146c', '2eb1524cf08cff1c', '9966fa446a4eab97', '08e6f2da3ff31faa', '15870d691082eb40', 'a508ee63269e07be', '0674107d490c6586', 'ebab476bb06eeeb0', 'b6cc5bc6ed31f2a0', '3a93864c87776b40', '3e1333cca3b7486b', 'bd65472b54f34717', 'c06dc1d24e73b1b6', '233dc4174425622c', '3954a34db791a545']; context = [[69, 96], [150, 176], [53, 78], [145, 170], [119, 144], [15, 40], [131, 157], [90, 116], [132, 159], [18, 43], [96, 123], [40, 66], [157, 184], [111, 138], [31, 58], [13, 38]]; loss = 0.020653 low_pass_filter = 3.333
+Epoch 0: | | 1659/? [17:33<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1660; scene = ['cb3f9a003c272957', '1662e7a8e989cc86', '0e52526ad6ae0cbe', '687fcd475fafd53a', 'bbbfb82b51d26b7d', '252eeea290153060', 'd7beff4d08f7f7c0', 'fb46a820975c2449', 'd5a3940bb6a3363e', '4be99782bb201a87', '90a599cbae3f7f49', '17305b0b98053dee', '259d50e9e6434426', '9c437a1ff26fc63d', '31f802c4d94b2a8c', '3ca9f2ea058b7220']; context = [[133, 158], [92, 119], [135, 160], [45, 72], [24, 50], [41, 66], [84, 109], [114, 141], [227, 253], [55, 82], [41, 66], [38, 64], [32, 57], [106, 132], [65, 90], [35, 61]]; loss = 0.017642 low_pass_filter = 3.333
+Epoch 0: | | 1669/? [17:39<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1670; scene = ['ba8254c9d0eb8a6f', '1c7fcb270b14fe08', 'f0ebdc3c38328266', '89162229eabb3797', '231f647344adbfe5', '3c2562d841d087ac', 'a864af7ee1e31eb0', 'f281ad937282c080', '708f9f5df8fc6ed0', '5d709e068e3236cc', 'd481fa99ea0ed419', '79f4dd50557918b7', '54b26b7357f81c78', '7d38d8fbf560e9cd', '8dece22e0e59e1eb', 'b1dbb5ecb3d46dbf']; context = [[71, 96], [8, 33], [29, 56], [10, 35], [87, 113], [11, 36], [54, 79], [99, 125], [1, 28], [48, 73], [247, 274], [47, 74], [13, 40], [2, 29], [45, 72], [23, 50]]; loss = 0.017371 low_pass_filter = 3.333
+Epoch 0: | | 1679/? [17:45<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1680; scene = ['2dee81e96f68d0db', 'cff1b98f34078617', '20d14025efeae3d1', 'cad624fb40c7edd8', '711a29d5a720879b', '240199c68e19e362', 'bb4a8f32e82e7faf', '9badf4ba1f34f120', 'e69daba3949f3936', 'bca125d17728c7b7', 'c7515b2d8304ab3a', 'e048704f3f590ba8', 'b239e4af87eb8638', 'dd0635f073625657', '49cf65f63721a3ea', '3410860af4c5cf8e']; context = [[32, 59], [56, 81], [4, 31], [200, 226], [18, 43], [5, 31], [90, 117], [6, 33], [219, 244], [15, 42], [154, 181], [37, 63], [98, 124], [64, 90], [23, 49], [73, 98]]; loss = 0.020790 low_pass_filter = 3.333
+Epoch 0: | | 1689/? [17:51<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1690; scene = ['457556b04e7cd668', '8eced2dc34158d45', '158dc09f8a9ab006', 'be3f0829965782f5', 'ecd0fa4f3bb29b99', '4937247fb2749a01', '08762e5e9f8755b8', '87975b8c008e3881', '98a47195893ba6f7', '31e356b9fe421e30', '53a4687fe4c80864', '840394639a2b1320', '3bdcf30a816f96f5', '82b9f261da55d52e', 'f8c51265453ae30c', '9e1a163a4b26ae11']; context = [[39, 65], [125, 151], [19, 46], [0, 25], [75, 100], [142, 167], [170, 195], [22, 49], [27, 54], [39, 65], [31, 57], [14, 39], [51, 76], [35, 60], [20, 47], [48, 74]]; loss = 0.017833 low_pass_filter = 3.333
+Epoch 0: | | 1699/? [17:57<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1700; scene = ['fd840aefa49b09d3', 'be3290ac59571445', '2de19cb1c144c8b4', 'd0c8bd037dd1a8ba', 'ca1925532ad236a0', '83723529771921b7', '0032c663bb6d838e', 'ba044124b9e7261c', '4762616d9149433e', 'ac090d5fdb989475', 'afd79cf17dab3e39', 'ac9aec32ea6234c2', '74cf66be9d66c8c2', '9ab195e4a4c1e26a', 'bf2209a2538edc1c', '9b31c4820fa50473']; context = [[46, 72], [27, 53], [28, 54], [184, 211], [23, 49], [88, 113], [2, 28], [55, 81], [86, 113], [63, 88], [154, 180], [26, 53], [0, 26], [8, 35], [42, 68], [14, 40]]; loss = 0.018283 low_pass_filter = 3.333
+Epoch 0: | | 1709/? [18:04<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1710; scene = ['95cd93e95dffe35b', 'ddabe0fc995cbc39', '1afd39e5280277bb', '9abe0db0374db859', 'b68cfe04fa83d13a', '677748baf15925e0', '70a51dc88d4ff701', 'ff48623caeaa8f9c', '57be712fb0ea2f4a', '966fe01da602a653', 'f427a711c9d913d7', '7634ccdf6c344129', 'd7435afbd0b0a8ae', 'd245364fcccb1139', 'b1b3e987c23640dc', 'd61baebe55920a9c']; context = [[4, 31], [28, 54], [17, 43], [32, 57], [33, 58], [32, 59], [58, 85], [61, 88], [56, 81], [54, 81], [2, 27], [16, 41], [1, 28], [10, 36], [27, 54], [5, 32]]; loss = 0.019010 low_pass_filter = 3.333
+Epoch 0: | | 1719/? [18:10<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1720; scene = ['e07e08f341770ca3', 'b43fed931703ab76', '4f169d470b87ffd7', 'd428826914bed12d', '43dc5c8c8859dc3c', 'bb6af706745a579c', '5406f3e3f53b842c', '4f41b0ce610b9bc5', '199a9ef5a23a3db9', '341986d27509ff20', '6ac5014676fde670', '3820cb5d4ed07d1b', '6cdbcf635b46fa7a', '3985b66cc91776eb', '4af1f08d7b5d1523', '6545dab9a4699ef0']; context = [[54, 81], [72, 97], [7, 32], [1, 27], [29, 55], [48, 74], [1, 26], [14, 40], [19, 46], [53, 78], [93, 118], [190, 217], [69, 96], [3, 29], [42, 67], [61, 88]]; loss = 0.019472 low_pass_filter = 3.333
+Epoch 0: | | 1729/? [18:16<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1730; scene = ['d146ae9445f5411a', '24796eab91d76073', '8539281bf2d95806', 'b9f2a7afe1c19bda', '24347fd8b78724be', 'c8d797f57b4dbc0c', '0cb234443d24b50f', 'be8f948f75a0a418', 'ffbbacafa10e1711', 'ea447aab2dac7662', '775454bdea6893b0', '034dad4d1889371e', '304c15cc24ffac86', 'cfc61eb87df87ae0', 'd2bda0901d3ee82c', 'e7449658b8889d97']; context = [[22, 48], [90, 116], [124, 149], [47, 72], [105, 131], [4, 30], [22, 47], [193, 220], [97, 122], [156, 182], [22, 47], [72, 99], [146, 172], [6, 32], [18, 44], [72, 99]]; loss = 0.019624 low_pass_filter = 3.333
+Epoch 0: | | 1739/? [18:22<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1740; scene = ['5228c2104f8fae53', 'c953d129166956cf', 'b3c9ebc907ec6e04', '242016b24b4251a6', '2c818e06fab2adb1', '32594792c3f9361f', '3dbb2c1bc521b62e', 'b407aff58d0b2042', '4a2675dd01f283a4', '618e9c0c539e9889', 'bd918471f79c3d19', 'd0edfa488493a780', '735286cf35dba264', '384827d938252ae4', '9d33be739ced144d', '273828188c93adb4']; context = [[42, 68], [1, 27], [51, 76], [53, 79], [5, 31], [10, 35], [43, 70], [116, 142], [2, 29], [49, 75], [23, 50], [108, 133], [32, 57], [34, 59], [139, 166], [104, 130]]; loss = 0.020410 low_pass_filter = 3.333
+Epoch 0: | | 1749/? [18:28<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1750; scene = ['562f4e6ffc1fa73a', '7adf869eb170f616', '045a00b4448730ad', 'b9ad9897e3b13dcc', '674b0b8d7a33588d', '525fe1b5f060ee0a', '82f673da64c6dd27', 'ce3829b629e8a38f', '69e94c1fd190cc2f', 'ccc0b3afc5deb0c1', '6e265cfc58ee5e9e', '5fb8e9b538312526', '2ece3814cb272056', '08fafa925134cccf', 'c35f0dfaf6507d58', '15872714425b381c']; context = [[212, 239], [19, 45], [20, 46], [32, 59], [18, 44], [34, 61], [67, 93], [16, 41], [26, 53], [15, 40], [41, 68], [12, 38], [38, 63], [67, 94], [25, 52], [62, 89]]; loss = 0.018739 low_pass_filter = 3.333
+Epoch 0: | | 1759/? [18:34<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1760; scene = ['ca9bea80d4e5bcdb', 'cc62a8c047cea639', 'a8bb6bdd8e1832b0', '6075fb811d2794e2', '67d9a8ec0e4060db', '3facfcb00b8697dc', '16166f53500a5dc3', 'cf6bc43fbf8c8dd2', '29d7ac3298d00f4d', '069539334170c1c9', 'd0920dbaced16c29', 'ba6b9051d2f9ac9a', 'd5965cafbae5226b', '6b98e19060e46fb9', '04a742730f96266d', '1fe2d66eef5f1e35']; context = [[21, 48], [76, 103], [50, 77], [140, 165], [51, 78], [37, 63], [24, 50], [38, 65], [16, 43], [40, 65], [30, 56], [36, 63], [42, 68], [27, 54], [30, 56], [47, 73]]; loss = 0.018043 low_pass_filter = 3.333
+Epoch 0: | | 1769/? [18:41<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1770; scene = ['52fdb6f042edafa2', '15acd9257cdd6713', '2a652e3614e59c80', 'dc60b19f3ec8f234', '6b16365848d1ad7e', '5a721534e874a9d8', '70c9c243f90fe538', 'aa2883136b009b8f', '0d0184bdc09e63cb', '26e89c85acbd3466', 'f0f9dc20febf63c6', '4be699c3e7ef0940', '078b712f247875c4', '0e9e8dd84bc136de', 'db3b613d2dda8b86', '76dae941ffcc3e94']; context = [[57, 85], [8, 34], [10, 38], [69, 97], [38, 65], [24, 52], [197, 224], [90, 117], [17, 44], [13, 38], [66, 92], [0, 25], [21, 49], [13, 41], [17, 44], [165, 193]]; loss = 0.018545 low_pass_filter = 3.333
+Epoch 0: | | 1779/? [18:47<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1780; scene = ['b4b8ae61f71c6318', '4b66bc17968e1d91', '844febece1121b36', 'cef967e6c2895c19', '4cff16e51b60bc1c', '2370a07a0d1e7930', '8f8fd92008130071', 'f15ab5fa73a8b30f', '0723036aaffa8c75', 'ff26955ac80e19c3', '930f0a917b4cfb3d', 'cdd61981792b29b8', '44389be039971d59', '06a2e5bec5c290ff', '054deb949142152f', '27f4e49e83874403']; context = [[22, 49], [75, 100], [49, 76], [173, 199], [175, 203], [7, 32], [13, 39], [6, 34], [173, 200], [8, 35], [25, 52], [70, 96], [1, 29], [113, 141], [11, 39], [135, 162]]; loss = 0.015119 low_pass_filter = 3.333
+Epoch 0: | | 1789/? [18:54<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1790; scene = ['65f0e3e59c13bbf7', '6e382565509eee56', '42512ca51e222e21', '19c82c4edda91a31', '67fb1d1f68b8103b', '3ca99a6faf336ee3', '8ec369930c8cf16f', '171b7984269c478d', 'f6d65c637ff68de3', '2ad77eb190b91f41', '600258382acb22b2', '92f5676ecb7efbec', '729019c3de92b636', 'bfcbf333b49f18c6', 'b8c266ba9042dc2c', '17c07f3363ca18b5']; context = [[88, 116], [0, 25], [74, 101], [204, 232], [62, 88], [26, 51], [37, 63], [38, 63], [26, 54], [57, 85], [0, 25], [74, 99], [5, 30], [137, 162], [1, 28], [10, 35]]; loss = 0.018103 low_pass_filter = 3.333
+Epoch 0: | | 1799/? [19:00<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1800; scene = ['fc80bd93e17d88ef', '77c62a956f8cdd9c', '58e2b9657cdccb2d', '406b4a3292eccd0c', '44bc242930167a67', '389e63d778d22e90', 'f13afb1b46890e37', '1c40dd7f494f5c49', '83f0a5456f9b1818', 'db4216b2a2281ce3', '606a39f22e8d7b84', '6d2d7e8c12846ba9', '42db4c46b6527336', 'c491321e6678f76f', 'ff2403c3a529c398', '88de5a9dbaaced91']; context = [[108, 135], [3, 30], [29, 54], [33, 60], [32, 57], [95, 121], [3, 30], [9, 37], [17, 43], [31, 57], [4, 32], [176, 203], [38, 66], [17, 45], [49, 75], [33, 60]]; loss = 0.019817 low_pass_filter = 3.333
+Epoch 0: | | 1809/? [19:06<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1810; scene = ['2b2e393414434d21', 'de293aa708084e6a', '9b2935f1e10c316e', 'cbd0fd68dc918e6f', 'af8dffe590d32c98', 'e224df30b31181ad', '5083347cfbe0fcbd', '3dd40bedb474919b', 'e95e823fe73b0689', '0a4a18cdb7d53d0f', '7bb73771ab2e55e7', 'f045e2d4ef5b3fef', 'bb4af41a0ec303da', '00552c0c18b00e98', '250f2ede2019a91a', '46b81f067b56100f']; context = [[60, 86], [22, 49], [99, 124], [30, 57], [18, 43], [140, 167], [5, 31], [34, 60], [97, 125], [125, 152], [200, 226], [48, 75], [53, 80], [198, 223], [90, 118], [20, 45]]; loss = 0.016282 low_pass_filter = 3.333
+Epoch 0: | | 1819/? [19:12<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1820; scene = ['ef0a592337c999f3', '9a7c6f09f20079c2', '1cc3251f1e085d81', 'fcc2ecb0bc03aca1', 'a8bb713dd5876fb3', '25aaf991662b1392', 'e2151e6bf7f90731', '4cca2ad1cde55681', '1d0de977f6c454e5', '24668195926b0c91', 'da0a55bfc7ac0d7e', '0ba56b76de23eac4', '7922209e3015f2be', 'ace26d090e35b8a2', '1f5c02c6a447177a', 'c2ca510a4a1617f2']; context = [[108, 135], [31, 59], [25, 51], [26, 53], [16, 43], [4, 29], [29, 57], [20, 46], [58, 86], [118, 144], [5, 31], [2, 27], [77, 103], [45, 70], [156, 184], [203, 231]]; loss = 0.017896 low_pass_filter = 3.333
+Epoch 0: | | 1829/? [19:18<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1830; scene = ['78f16e65c28d82c4', 'c3c0260ba0806d90', '7ffcfa668aa71831', '561a986c611a8734', 'b66f268bccc2b42d', '5de79a134f0f0a48', 'd9726ff650caacd5', 'a8a38028127a9a57', 'af142cb077445f32', '98e625c8549cc4f7', '247ae10c0370568c', 'ab4aef17418308cc', '034a1f45d506268a', '100e901f7029d4fe', '6f53846229e4d5a4', '4974d2898597691e']; context = [[1, 27], [55, 81], [15, 42], [9, 37], [84, 110], [35, 60], [30, 58], [136, 162], [80, 105], [124, 149], [50, 78], [7, 35], [80, 105], [6, 34], [21, 47], [63, 89]]; loss = 0.017461 low_pass_filter = 3.333
+Epoch 0: | | 1839/? [19:25<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1840; scene = ['5258ae529f43e083', 'fd2dfd73f01c7262', '85ccc785967a3105', '6eb91624364aaa65', 'f36ad32e649117b0', 'b971447d48d42607', 'ed4f0b586c17396f', 'd5835fb2f9cdf90d', '56f2a813921b6d83', '07659a0418a472c8', '73691a68196265a6', 'b2c684cf937ba6c4', '315f45e10716de12', 'b6fd2b07eba91c9d', '36b78f5cc8a35caf', 'da35cc9b10471676']; context = [[12, 37], [10, 38], [66, 94], [112, 139], [31, 59], [42, 67], [72, 98], [65, 91], [8, 33], [48, 73], [50, 75], [108, 133], [39, 67], [67, 93], [2, 27], [77, 102]]; loss = 0.020676 low_pass_filter = 3.333
+Epoch 0: | | 1849/? [19:31<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1850; scene = ['fa0b5da578714df2', 'a7d704b0985c9640', '0f6c5c6a7157b7f6', '145da22a89e0ae0f', 'cf7c0bb5089abf7a', '4f7e0130b1068114', '1c9d377f12e3bf79', '96e97b817621a36d', 'af6f104783d5dd99', 'd9e9cd2134b9d66a', 'a6bee29ca4b79051', 'bda52ecfcef87a70', '4fb7456109baffbd', 'f4169cc065e23946', '92c12779991d2c6d', 'f4e2ad73e8e71b41']; context = [[2, 30], [1, 27], [67, 93], [24, 50], [56, 83], [25, 53], [38, 64], [20, 46], [143, 168], [68, 94], [44, 69], [43, 69], [16, 44], [16, 42], [10, 38], [40, 67]]; loss = 0.020284 low_pass_filter = 3.333
+Epoch 0: | | 1859/? [19:37<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1860; scene = ['4c6e0eafc2e6c7ff', '7e8beb820f189792', 'af219727b1aece30', 'b6d96ca117b8b380', '99cc6ca43546208b', '583ab14553881ee8', 'fb97f55b61aa86aa', '59169909a46a7498', 'c984f50b210590b4', '6f27c2a023c0495d', '2b023270623346dd', '6e7024d848c715af', 'e6e8cc906c35e6e1', 'bb2a6aa230389112', 'a46b24193229d8c6', '1ff7805b58fa8baa']; context = [[164, 191], [14, 39], [30, 56], [5, 32], [51, 77], [41, 69], [23, 48], [13, 41], [125, 152], [6, 33], [119, 144], [17, 42], [12, 38], [16, 41], [37, 65], [13, 39]]; loss = 0.019372 low_pass_filter = 3.333
+Epoch 0: | | 1869/? [19:43<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1870; scene = ['a744fdc585769a4b', '52d8989a74a35e76', '381676b229abbab1', '8337ea841729afad', '84f1b2387fb4ed36', 'ae8bc0141db29362', 'f02ac87191a94f65', 'b34dd66d4d3ce335', 'fb0239ef9a6badcd', '9b0cc25536e4bee4', '80cef9332c5c91c7', '346afdcdd046633a', '75ad4bc6ef1969a8', '8ed6bd5510e508fa', '5d7cf77400ec9c60', '28c4be784857bea6']; context = [[30, 57], [12, 39], [0, 27], [68, 93], [33, 60], [195, 223], [228, 255], [7, 35], [78, 105], [33, 59], [73, 99], [60, 88], [2, 29], [64, 90], [2, 28], [39, 67]]; loss = 0.018254 low_pass_filter = 3.333
+Epoch 0: | | 1879/? [19:49<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1880; scene = ['958b9b173df2483a', '018e7d43f8ef9d06', '4d9a7d247630db3d', 'a5d896c07cc8008e', '6050e2ba7733cf5c', 'cceab800023488f3', '4dba5f75b8ee0f43', 'e175be14e93ba0b1', '50cf66a7122f2855', '4bdf1d786c5b1e8d', '2ebabd37e60ceef8', 'ce741ab39addbd9c', '93d3b5c3a5978975', '0dc7065a7b99d535', '3b0c6fee0faecce2', '9efb1558283915a3']; context = [[123, 149], [7, 35], [226, 251], [78, 104], [5, 33], [56, 84], [10, 37], [197, 222], [20, 48], [16, 43], [41, 66], [62, 88], [55, 83], [71, 99], [167, 195], [9, 35]]; loss = 0.019908 low_pass_filter = 3.333
+Epoch 0: | | 1889/? [19:55<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1890; scene = ['d5d73e1025a23bae', 'ef4a334b0a991e22', 'fe2fce8e4eb8f882', 'f523413a42b1908f', 'c0d1a0581fea22d5', '504f38f5d0b716bd', 'd6630f80b45ff8c0', '0722e6b29c398d78', 'ad7d01ce66eaa31d', '1e8f20a009268021', 'a2bc2177cf70eab6', 'f720437b9f3f2185', '7ed76c117c27b1e4', 'e242d43a1ef0a6eb', '48c774ef9e59bfdd', '0a0b7d56d8bb16f3']; context = [[61, 89], [2, 30], [6, 34], [32, 57], [8, 36], [136, 163], [6, 34], [123, 151], [39, 67], [9, 37], [26, 51], [42, 68], [52, 79], [74, 101], [35, 62], [6, 31]]; loss = 0.019044 low_pass_filter = 3.333
+Epoch 0: | | 1899/? [20:02<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1900; scene = ['2028eac12a944ac1', 'adf73db30b5dc7ff', 'f86499380731b8d5', '8e4f26e204962462', '9c595a0f46169c48', '0a024fea841197c1', 'd58471c80d3b334d', '69937c2efa2c110b', 'dc4b01caf622c778', '351b8ee067a5b409', 'e45fd910f1e78bb9', '4be6e03316270eda', '0c7cb5d7206b8f56', 'a895746dbfcae9fd', '702d6cd812ef150c', '64327b991f165570']; context = [[12, 40], [184, 212], [14, 41], [34, 61], [9, 35], [46, 71], [10, 35], [74, 99], [217, 243], [73, 100], [60, 88], [59, 87], [222, 247], [35, 62], [9, 35], [63, 88]]; loss = 0.018284 low_pass_filter = 3.333
+Epoch 0: | | 1909/? [20:08<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1910; scene = ['c00455dcc165a68f', '0a1e871f9b315451', '815a4673285e046f', '06597971725e1577', '32eb9f3b07a73e91', '420dfaaf7a8f542d', 'a92a74acb10a8d04', '2259ebad30a3dde3', '050dc1e2ec4c944a', '4b47048124bb163c', '0d37a906aea762f9', 'ec89d2e3fb950351', '7018544e57f7f58a', '02118eb117ee2add', 'd13b7505cba629ac', 'da957d7a5ff98548']; context = [[14, 41], [21, 48], [56, 82], [9, 35], [65, 92], [176, 202], [10, 37], [52, 78], [12, 40], [63, 90], [57, 84], [35, 61], [17, 43], [46, 73], [34, 60], [0, 27]]; loss = 0.018937 low_pass_filter = 3.333
+Epoch 0: | | 1919/? [20:14<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1920; scene = ['669108f020ce9326', '9332241d744fcc89', '1c782a6280f77698', '7668427812272ec8', '72da2d7f756b1fd0', '956b787fa6250691', '06678f70a4f95b2d', '41fffc6d9d335b3e', '709476c26a219c69', 'c3ed8d0890eca234', '2636a68b00cbb8dc', '14cfc11be2d81617', '8291ffa5d473ed6b', 'aa85f1d551661c8c', '8b901a2a33f5ad6e', 'c46cc0b22cf0e2df']; context = [[233, 261], [29, 56], [29, 57], [56, 82], [14, 42], [23, 50], [7, 34], [54, 82], [25, 52], [115, 143], [17, 45], [24, 52], [211, 237], [43, 70], [24, 50], [25, 53]]; loss = 0.016793 low_pass_filter = 3.333
+Epoch 0: | | 1929/? [20:21<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1930; scene = ['2b85a6b46f2ea8de', 'e72abbc2e978475b', 'd1ebaa99e640cd7d', '66a324d8c0a8b80c', 'a640a55439a43108', '414730ed5c31b509', '190dc10200a1049e', '2da17464ef895b63', '513aa200a2b07a1e', '9173a0f0f9fbfafd', '789a1573a8a7f5a8', '077a814db8619777', '62724e7e2af14f96', '0533d23dfb17f17b', '5991463c1d07dab8', '39537fd202eb32b3']; context = [[32, 58], [41, 68], [13, 41], [0, 28], [68, 95], [145, 171], [57, 84], [24, 51], [7, 33], [8, 35], [87, 114], [64, 90], [1, 29], [113, 140], [5, 31], [45, 72]]; loss = 0.017157 low_pass_filter = 3.333
+Epoch 0: | | 1939/? [20:27<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1940; scene = ['59d290f1ca0b1a89', 'e5251115011169b1', '4b0b0606c0815dd0', 'b81b5b28aed15a63', '8c40e162a6c8015d', '80270eaee7eac592', '012ae7e6ae8eb7b1', '31c466a7c2920d59', '38b7b864ae7b21e9', '9d2f692bc13b2112', '15ffcb0d0b755cd4', 'ff38b550a0d17bc3', 'a931a011fa7011d4', '518d43ab4678201d', '204bec5c71cc55e0', 'a8ff01981f1c5b1f']; context = [[71, 97], [33, 60], [50, 78], [37, 64], [2, 29], [11, 39], [25, 52], [41, 69], [30, 57], [4, 30], [48, 76], [11, 37], [7, 33], [4, 32], [10, 38], [32, 60]]; loss = 0.020294 low_pass_filter = 3.333
+Epoch 0: | | 1949/? [20:33<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1950; scene = ['82540acbe82766f8', '91c5409da74ce91f', '85098f10e7c0d7f1', 'e3a85631198a6eac', '0c8af3fa6aa60dea', '6bbb1f05446d7e85', '53e0ab24e36b3f93', '05eb05f4a63e0df6', '74d6913ef306badb', 'f904ba6dd57174ee', 'a86c32a25b92f015', 'c5105a963e0519d3', '66d961bc0d0aef7f', '186527ca122469cf', 'b3569c0aa91a5faa', 'd68dedb9478e3934']; context = [[22, 49], [116, 143], [135, 162], [38, 65], [24, 51], [25, 51], [155, 183], [5, 31], [15, 42], [85, 111], [125, 151], [50, 78], [157, 184], [11, 39], [31, 59], [5, 31]]; loss = 0.016921 low_pass_filter = 3.333
+Epoch 0: | | 1959/? [20:39<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1960; scene = ['f249fdd072d2d35d', '27ecc84dfeef35d6', '9c002649b133ed7d', '9168f179a84dcc90', 'ceba0c9064ef2075', '4fb63d42b75f83ec', '9122be71240bb162', '999d1dc292628db0', '92ae0064b7c18b99', '2d5886bd890632c6', 'd670e439d6d9ae8f', 'ae76b3fefecf973d', '7426a108ff0bd8f0', 'cf579459b0fb66df', 'bb518b3a290d5e83', '7dbd9631683c5ae8']; context = [[39, 65], [6, 32], [1, 28], [19, 47], [188, 215], [30, 56], [9, 37], [131, 157], [41, 67], [83, 111], [37, 65], [3, 30], [28, 54], [188, 216], [10, 38], [93, 120]]; loss = 0.019281 low_pass_filter = 3.333
+Epoch 0: | | 1969/? [20:46<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1970; scene = ['a37837d87e1e6ad6', 'a21663cc408933b1', '230f1a4b17cb49cc', '667babf0fad704e2', 'e0bbf0c641a19362', 'e266859a380b328e', '33bf51a57dd21baf', '97d48083a9c554ef', '02ae101d68a2304b', '1ccc8946d683d79c', 'c2d56785690fef5c', '00210fcc783d3fcf', 'bc29873beb100836', 'c0de137715b6bcb4', '29afe36e4ba597f5', '9bae213a2e0667da']; context = [[94, 120], [111, 138], [117, 144], [40, 67], [34, 61], [50, 78], [18, 45], [6, 32], [1, 28], [56, 84], [98, 124], [113, 141], [22, 48], [144, 172], [39, 65], [3, 31]]; loss = 0.019255 low_pass_filter = 3.333
+Epoch 0: | | 1979/? [20:52<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1980; scene = ['8098a4b5e731a973', '00eb40d5943d736e', 'a9078505733cf9d7', '7a9005af7c4d4d0e', '7603f1cd3ec5dca2', '04c91df50afd1792', '96ce5de416a83b88', 'ed41dd96081cbfd3', 'a913e7af2361fa6f', '5e90ad5c785214d6', 'd53e34588589505c', 'ea4dc2ebdb122af5', 'eccf1570ab9503ff', 'ebe7deb04669edf3', '3b1525a730772be9', '3de1498cc3dc5051']; context = [[7, 33], [6, 32], [13, 39], [39, 65], [34, 60], [14, 41], [9, 36], [1, 29], [9, 36], [41, 69], [39, 65], [19, 47], [4, 30], [2, 30], [22, 50], [28, 54]]; loss = 0.017697 low_pass_filter = 3.333
+Epoch 0: | | 1989/? [20:58<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 1990; scene = ['0664d28ff022567f', '8b5445c6d9f66465', 'ecd8c42096f0d5c0', 'c2faca71d6805a59', '372f99da54848103', 'de6a28eb6502eb21', 'b86ba5945ecd1fb4', '1d3156ba2c41e96c', '1d5672551ec2e691', 'ce043aeec92138f1', 'fb003d082b1c3ed7', '3d5a6102484db5cc', 'e43e90ff27df512e', '024a1070b701d9a8', 'ead9aabd27eaff8a', 'c93a3485a63a06cc']; context = [[15, 42], [21, 47], [98, 124], [39, 67], [72, 99], [22, 48], [31, 59], [0, 26], [9, 36], [60, 86], [151, 177], [111, 137], [63, 90], [17, 45], [33, 59], [21, 48]]; loss = 0.016882 low_pass_filter = 3.333
+Epoch 0: | | 1999/? [21:04<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2000; scene = ['41b343385bcd830c', '9c130d0bc34c74bd', '2ae43ea35e770eb7', '9b8fd789ba8b27ca', '7086b238d97bd8cc', '76ef0b2f5bee6d73', 'e18e70c8df6d6592', 'c053559c523e6708', '59d773c1b4f4dfff', 'a90891be6da25ea3', '36efa0302d3d907f', 'c4a3413589327422', '9aaf2fb99119da87', '692abad1fd72e99b', '617a62fe2d1054ce', '47a60f3119c7d7e1']; context = [[73, 99], [8, 35], [59, 85], [196, 222], [82, 109], [9, 36], [38, 66], [22, 48], [228, 254], [2, 29], [35, 63], [2, 28], [7, 35], [2, 29], [149, 176], [27, 54]]; loss = 0.020512 low_pass_filter = 3.333
+Epoch 0: | | 2000/? [21:05<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistivalidation step 2000; scene = ['73d6f935f31b3fd4']; context = [[3, 30]]
+Epoch 0: | | 2009/? [21:11<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2010; scene = ['9900d32431eac9e6', '57859a70dfbd78d4', '0296dcc56c7fe3a6', 'a9661ea3b30c456f', '67d8efc474193da2', '9cd867f121e491ae', '1c3e848e9fd120da', 'c66734fadc2a7e5a', 'bb48e2d74b804b95', '6662695dfbebb0f0', '5e041af008e49e96', 'df03ba10b66f2473', '9af973da0db34710', 'f8e1dd1b4d8d2f01', 'b65da7000a104086', 'f45d89e13c989cb5']; context = [[51, 77], [165, 192], [85, 113], [32, 58], [6, 34], [42, 68], [33, 60], [4, 30], [154, 182], [8, 35], [27, 55], [11, 38], [22, 50], [85, 113], [50, 76], [165, 191]]; loss = 0.023672 low_pass_filter = 1.111
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 2019/? [21:18<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2020; scene = ['ff133f07dd0f56e6', '0bcfc80a4cc34924', '20b6018d5a3cb474', 'fa88f170831e7ec4', '791ee73a5a8b0dea', 'd4e9baf07230d25f', 'f3720bf52932b648', '2880a663fcd65ac8', 'abdf580d488c0193', '177febf140d5e51d', '6dc9af195dcf0f4b', '84e0a57f0cbe34e9', 'eecd754ee0bdbffa', '6025e08ac83ecb9c', '75a2928db20842a9', '9cce8e627c0477c0']; context = [[9, 36], [9, 36], [7, 33], [46, 73], [228, 255], [39, 67], [75, 103], [68, 96], [75, 103], [7, 34], [8, 36], [25, 53], [4, 32], [6, 32], [50, 78], [2, 29]]; loss = 0.020110 low_pass_filter = 1.111
+Epoch 0: | | 2029/? [21:24<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2030; scene = ['ef0d4dd02797449e', '2800468d7b4c451a', '4109501e6b924539', '87c01e3c7b697584', 'a99dbe2fcb659ead', '90618ff8315f15a0', 'd4f9b7f5a436bc5e', 'c1b5b7779a98027d', '39e8cbb0f678f5e3', '63cedce5caa10d40', 'bf48f07f09565e35', '658d5216501736d5', '864d89232a34ffcd', '5c140178a8c1b76e', '1042daa8f8fd2955', '181157826ea13ab5']; context = [[10, 37], [14, 41], [24, 50], [50, 78], [7, 33], [63, 91], [98, 125], [55, 81], [29, 55], [32, 60], [163, 190], [85, 113], [18, 44], [21, 49], [26, 54], [52, 78]]; loss = 0.019072 low_pass_filter = 1.111
+Epoch 0: | | 2039/? [21:30<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2040; scene = ['f1c3beac54c25378', '05c6dc05aaf40f45', 'c537c888e9db11fb', 'b8123f46fa57929d', '39a98cd12e581038', 'ddc9f94d295eec5d', '24bd42501a73c032', 'da034370416efee1', '5ac9002c4bc39722', '2a08fac923c9e50d', '393cdfb7e832d285', '6545c42d1fa5df33', '41c2debbaa89e15f', '0788ca0723d59c2a', 'f344839ca7c971b7', 'd3dddf816450d1d0']; context = [[27, 55], [79, 107], [41, 68], [48, 76], [0, 26], [30, 57], [46, 73], [63, 89], [22, 48], [115, 141], [82, 108], [37, 64], [185, 212], [12, 40], [65, 92], [60, 87]]; loss = 0.015281 low_pass_filter = 1.111
+Epoch 0: | | 2049/? [21:36<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2050; scene = ['3f869d7524f5cc0c', 'a3ffb95aeb6475c4', 'db7eafb0f55568d7', '00407b3f1bad1493', '85eedea168febda5', 'fb66585f6360b36e', '77c705f41b22de6b', 'da595021fea9f85d', 'd63b1b3960f4811c', '37c4fdc9b9d6c0e6', '264bb76b06bac802', '31c7ca382b4cf406', 'be920b88d4014762', '7df5dfcb4c9f5e24', 'c90f01f360645e27', '140ec322ea5a197f']; context = [[141, 168], [1, 29], [25, 52], [26, 52], [168, 196], [162, 188], [49, 77], [56, 83], [8, 35], [0, 26], [85, 111], [81, 108], [12, 38], [54, 81], [142, 168], [31, 57]]; loss = 0.017819 low_pass_filter = 1.111
+Epoch 0: | | 2059/? [21:43<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2060; scene = ['a49e993ecd8e1c48', '6c9380078876c6ce', '4666bf577ab773ea', 'dca97964a12df798', 'b04757cf619d9817', 'a485b22b932c2626', 'fc0717ba72e4e99c', 'a57af4a50085aea0', '0452212f8a422ba3', 'b9d4445e5b8179a8', '73133fcc576a07c1', '651c067fde1abb95', '2840317723c97f2e', '30424882cc105c3f', 'fec1b08babd84253', 'e0cd677c6327d758']; context = [[80, 106], [37, 64], [136, 163], [44, 71], [17, 44], [134, 160], [112, 139], [53, 80], [30, 57], [44, 71], [25, 53], [88, 115], [62, 88], [85, 112], [113, 141], [200, 226]]; loss = 0.018758 low_pass_filter = 1.111
+Epoch 0: | | 2069/? [21:49<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2070; scene = ['478e89781cb7fe3a', 'b4d6d0191d7d437a', 'ffeac84210d82790', 'e38d64be980abb67', '35fb9deb04278d8f', '2b223156f1eec1bc', '0a664feb59d93727', 'acfed28ba4504b41', 'a18dd0c5e3726a71', 'df73d45cbff76aa0', '39927608497beb17', '97dce5c8a9577172', '2ab54ca4d3ad7160', 'f752d201bf11aa7d', '15fca657573e4eee', 'a725bad131d5806d']; context = [[26, 53], [117, 145], [64, 92], [51, 79], [16, 43], [26, 53], [1, 27], [2, 29], [81, 108], [51, 77], [111, 138], [52, 79], [10, 36], [19, 46], [9, 35], [33, 61]]; loss = 0.016676 low_pass_filter = 1.111
+Epoch 0: | | 2079/? [21:55<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2080; scene = ['343a4e21bc309742', 'e0a88916f5977690', 'ebe21549c614d5e2', 'e7bc763f52f6d941', '7dc497c9d9fc9dbe', 'e5a612f26db49308', 'c73d3bd74c1973fe', 'a1d8ab6deefc971a', 'e52306b4eb8ba419', 'c7fc461db2343d66', 'a2f6b8ce12094172', '9497ed29cc566c99', 'cdec7dff152cc880', '6c624d9684bc26ab', 'af57a1f0c29eaaea', '3e9e187e7dbae1d7']; context = [[30, 56], [2, 28], [15, 42], [3, 31], [25, 51], [29, 56], [14, 40], [10, 36], [3, 31], [0, 26], [5, 32], [24, 51], [95, 121], [222, 250], [6, 33], [2, 29]]; loss = 0.018406 low_pass_filter = 1.111
+Epoch 0: | | 2089/? [22:02<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2090; scene = ['e6406106735f8b34', '39ee4bf580cf2bbe', '12108a3fd93471fb', '5a1ccf5da976f592', '065d41d6e7cd8ad8', 'f47fb729fe708d84', 'dfc803316b289c97', 'fcada92f8efeceb5', '8d72de31083eba26', 'b94b9c4beda6f0db', '05bd93fee1f2ceaf', '16c8838c274625d4', '7f502417702829cc', 'b8d9b237d3131022', '760e5634a2d20b4f', '7f81444be57714a9']; context = [[62, 88], [2, 28], [36, 64], [42, 68], [71, 97], [32, 60], [40, 67], [35, 63], [126, 152], [21, 49], [11, 37], [28, 55], [106, 133], [150, 177], [7, 34], [48, 74]]; loss = 0.017247 low_pass_filter = 1.111
+Epoch 0: | | 2099/? [22:08<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2100; scene = ['fb878a1e01f8595e', '5af87f91bbe6d77d', '658b2a4b8ea8636e', 'b380464b16538037', 'a9111dbff01e1e9a', 'c8069c9fcf1ed435', '08be136d928551f3', '31e0177544a4ce6f', 'e2b20b439a33690a', 'a6d3f8823cc684fd', 'a3b40c62a65218d4', '3851f6250f54652e', '595d89f19a588a0b', 'cc5cd38089bc747b', '3d2c4bf5557d6b22', '22858483b5c3a9e6']; context = [[23, 49], [8, 35], [194, 220], [17, 45], [67, 93], [86, 114], [71, 98], [14, 41], [98, 125], [17, 43], [6, 32], [11, 39], [5, 33], [9, 36], [19, 45], [41, 69]]; loss = 0.016725 low_pass_filter = 1.111
+Epoch 0: | | 2109/? [22:14<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2110; scene = ['9c479ecb99ab6e1f', '49d0d81ca5d7a50a', '1931d5f8d01cf901', '2cb7980a10ba7dd9', 'a3d1a3c300d2d4c0', '0af95693e0c2a4b3', '8d10bed76bea9ad9', '8b348d32ebb45bb6', '9542770bd8c00ff1', 'dee0cb028cfecd6c', '05739e00a9d4b004', '9a539a8e149d73fe', 'a6f084400351a290', '0c097b18870797b5', 'f8c179a0d6a215d6', 'd9de6afff609db5e']; context = [[29, 56], [59, 87], [85, 112], [14, 42], [25, 51], [14, 40], [38, 65], [39, 66], [165, 193], [44, 71], [74, 100], [62, 89], [236, 262], [28, 55], [90, 116], [95, 123]]; loss = 0.016980 low_pass_filter = 1.111
+Epoch 0: | | 2119/? [22:20<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2120; scene = ['c03584d560ed0694', '2b85a6b46f2ea8de', 'b7bb7eedb709a1a8', '7b00906aa2c10f8e', 'e72abbc2e978475b', '304b457e50fb1b7f', 'd01a94b42a502c3d', 'f08afff6a1ca5fd4', 'c7b571bbd2dbf81c', '8214bac63893f32b', '85b9d600d972e3ea', '6e86e075bda5414b', '2a69d7ace9e8fbbd', 'a31b01bf6a2685ff', '1471bff70ae3f991', '00f785f232952963']; context = [[62, 89], [15, 43], [32, 59], [49, 77], [13, 39], [119, 146], [54, 82], [30, 57], [7, 33], [27, 55], [34, 60], [1, 28], [115, 142], [2, 28], [16, 42], [79, 107]]; loss = 0.017527 low_pass_filter = 1.111
+Epoch 0: | | 2129/? [22:26<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2130; scene = ['84f1feea0751caba', '79554d6408c5040c', '158e6e9702195ce9', '58c6906b67417c32', 'b3dac77f7d133d91', 'c2270f17d0068cf8', 'e51815e7a265470e', '62f3272b59ba94b2', '3f12567c1f0af984', 'afbfb11da5517acb', '1e464d7d6edb8441', '18ca128750da291c', '970c8ab96a42388c', '78729dc7fc839286', '3e8b4baa457919c9', 'e01fd52543c3109c']; context = [[129, 155], [53, 79], [6, 33], [17, 45], [212, 239], [16, 42], [15, 41], [219, 246], [157, 184], [21, 49], [58, 86], [96, 124], [61, 89], [8, 34], [0, 26], [39, 66]]; loss = 0.014086 low_pass_filter = 1.111
+Epoch 0: | | 2139/? [22:32<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2140; scene = ['38147dfcaf667f6b', '29d4c936815664ab', '57a37f6c17fb53bb', 'e60298a9c1439103', '2df2d7c7a4f05e97', '47081479d4cd912f', 'bec261161db4a238', '0279ce58d78444e9', '1706922b35a131c1', '5ff49d7da5abf152', '7e3f87e5affd253f', '298229a37fabd908', '5b4327f91da2fa34', 'fac49f6dbe07e555', 'b3aed3d4024f2045', 'c244bbdea2dd8768']; context = [[24, 51], [2, 28], [63, 91], [25, 53], [0, 27], [95, 121], [0, 26], [9, 37], [60, 87], [47, 74], [62, 89], [5, 32], [42, 70], [26, 52], [114, 141], [36, 62]]; loss = 0.015019 low_pass_filter = 1.111
+Epoch 0: | | 2149/? [22:38<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2150; scene = ['3b1f9bdde0850925', '39a2d85b6232fee7', 'd4fc984a9a2dc78b', '15c0e084366a0311', '39f88cbb30ad5e3f', 'd8adc0566d6281a7', '11f155931a109e15', 'b5ab1fc1af5f5665', '71da350128beda8e', '1fc2e3e8d1a09b12', 'afd1b26a7b3f5833', 'aa70400f2fc7e975', '1e8715fa89b98696', 'b051aa05d9cc987c', '837e0e5f18d3ba68', '3e9d04e3d7dda317']; context = [[72, 98], [10, 36], [107, 134], [36, 62], [114, 140], [252, 278], [212, 240], [248, 275], [16, 43], [112, 138], [18, 44], [57, 85], [19, 46], [43, 71], [56, 82], [10, 38]]; loss = 0.018336 low_pass_filter = 1.111
+Epoch 0: | | 2159/? [22:45<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2160; scene = ['be4f932aa33e62ae', 'bd599705af721fcd', 'f0865a583ba09c2b', '53dfe7d8827bc01e', '37fa83ae48cd9ab4', '01f717e1a0b3df40', '84ba6ebd8b79f00d', '665024ea83a665d4', '018c2471932140c2', '112c466868043022', '2ac6446d0ddf813c', 'e4b0cf444f483eef', 'bdfe47d84d96f14e', '9efdc1e256416028', '2c76592b3759673e', '270c92beac8cc380']; context = [[2, 28], [142, 169], [47, 74], [66, 93], [60, 86], [4, 32], [49, 75], [7, 33], [67, 94], [202, 228], [1, 28], [134, 160], [38, 66], [135, 163], [28, 54], [27, 55]]; loss = 0.016242 low_pass_filter = 1.111
+Epoch 0: | | 2169/? [22:51<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2170; scene = ['e90aaffa44f24d62', '6dfa54a298bd9f1a', '3948c903131133bb', '1b5aebb31dd24255', 'd09259776759df85', 'f76db35ccf517018', '59de2764607e1b8f', '6f6b3630c1daf8bc', '853afb68eecbe04d', '1d08d09515970972', '0ca219e558a9ced6', 'd7272df49cd52b8c', 'abffceaf0098faa8', 'db085f4da5bb3a11', '77d9893ba17a1330', '71d24f4e70b1596e']; context = [[52, 79], [246, 273], [48, 75], [4, 32], [25, 51], [2, 30], [29, 56], [21, 47], [118, 145], [15, 42], [72, 99], [2, 29], [14, 41], [17, 44], [80, 106], [243, 271]]; loss = 0.013712 low_pass_filter = 1.111
+Epoch 0: | | 2179/? [22:57<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2180; scene = ['8331d9c0babb8c1b', 'f248e7fc45f1d3f6', '220a754928cf7f7d', '6a1ef1f0ddb90525', '275f7bcab3604f2a', '556ce3a3902f4695', '14456e50bb058688', '1de0bd69f911ee70', '3aa4b919796c8489', '82b3cd7d732bb3a1', '7145f0cd808fb217', '3613fe0e8890ef26', '39ef35a4a47926da', 'ec8b485c95a10ee8', '6dc5657f790a7afe', 'b1d41b0a47dc80f1']; context = [[56, 82], [86, 112], [23, 49], [0, 28], [90, 118], [17, 43], [35, 62], [53, 79], [72, 100], [130, 156], [128, 154], [98, 126], [70, 98], [39, 65], [0, 26], [24, 51]]; loss = 0.016278 low_pass_filter = 1.111
+Epoch 0: | | 2189/? [23:03<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2190; scene = ['4733062e2c9faded', '0abad9c3a40f487c', '74b1d83dd67034be', 'ec3000b33e02444a', '66bef075252e50c5', '086be0c3a57db507', '41a5f2ec0c95a471', 'f42a1015b25ea6c0', '6c01bd2b6378b08a', '91243c39eff2dab2', '10f25476c98b437c', '1035b4b674d055e5', 'dec79f9feb754ed8', '1817737ac6b18f45', '3054148d742d2b85', '400c9321b83de62a']; context = [[108, 134], [154, 180], [0, 28], [142, 169], [7, 34], [56, 84], [3, 29], [16, 44], [15, 42], [29, 57], [89, 116], [59, 86], [5, 33], [47, 75], [207, 235], [5, 31]]; loss = 0.013318 low_pass_filter = 1.111
+Epoch 0: | | 2199/? [23:10<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2200; scene = ['c2e29d5707c809d6', 'a4978d1996610c90', 'd532d494f7050bcb', 'def54ce161678aed', '59133f255b9d7921', '9a4703f139e789c3', '67ca4858a6da9498', 'd74a2abccfea3d36', '8fed29af74002491', 'd9dce3382830aea6', '62ff792e124c30c3', '4d3d2461e84578f6', 'a7a79393e5bb8108', '2dc9c96992a50777', '6cee8362ee57a4c7', '6cfc76b16e72752a']; context = [[109, 136], [237, 264], [69, 96], [37, 64], [13, 41], [32, 58], [65, 93], [27, 54], [82, 109], [22, 49], [5, 33], [107, 135], [86, 113], [43, 71], [115, 142], [4, 31]]; loss = 0.017340 low_pass_filter = 1.111
+Epoch 0: | | 2209/? [23:16<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2210; scene = ['e452811140e730af', 'ddc351e8ca2cd299', '94c8f1c6ee33001c', '3a73283d439e25cc', '6e115d699fe7cf97', '49c8a74b74ea2ad6', '462236c56412e890', '691b75dfc39113c0', '4c93d77212ccf515', 'a95b5cdb5c860149', 'ec965b86f34bd052', '7566ea2bedd7e775', '1acf15bfc12d2a27', '431557cf5a0bc85d', '7dcd7e5fcc21f57f', '146aefd841b02106']; context = [[12, 40], [137, 163], [6, 32], [88, 115], [22, 50], [64, 91], [31, 59], [44, 71], [3, 30], [121, 148], [87, 115], [34, 62], [82, 110], [42, 68], [86, 114], [13, 39]]; loss = 0.016081 low_pass_filter = 1.111
+Epoch 0: | | 2219/? [23:23<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2220; scene = ['1bb6c9f319cd474f', 'cee058b0da530229', '0b8169e51ba31c92', '4dc1674146d1feb4', 'aff84ce3f9bcc647', '7b6faaa7ddad5853', 'fdcc00c4d8310e3a', '65161bf7ed37ed8f', '747b26dc66737aab', '4a119e4fdc155f25', '0f1e75b6891c6dde', '16ba79e95f3f36fb', 'f84a8896b1ba14b8', '4646bbb28f1eae0e', '0e877f29a64985f6', 'dac3810c49d3ab7b']; context = [[21, 47], [39, 67], [26, 54], [35, 63], [1, 27], [91, 117], [207, 234], [55, 81], [83, 109], [130, 156], [1, 27], [1, 29], [15, 42], [71, 97], [15, 43], [145, 173]]; loss = 0.016284 low_pass_filter = 1.111
+Epoch 0: | | 2229/? [23:29<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2230; scene = ['0a1c6a4cd53b9fff', '1a27a41d548cb8d5', '9525a072309439fa', 'e6927e3ec3898166', '24666b018cafaaa9', '6e2a3910091fd84f', '9e912cd1f7d18579', '2a2885f3acb57e98', '5ca14f8bed0743cb', 'd0ca50187d5095ec', '14267b4877f2bba2', 'a983f9bbf8f45e19', 'd77ffc6a0bc1b514', '034a57b1ea3c8ca9', '349738c773f1af23', 'c5197c6f18fcfab7']; context = [[6, 34], [38, 64], [85, 111], [36, 63], [14, 42], [157, 183], [36, 64], [136, 162], [21, 49], [80, 108], [54, 82], [231, 257], [16, 43], [91, 117], [68, 96], [181, 208]]; loss = 0.013474 low_pass_filter = 1.111
+Epoch 0: | | 2239/? [23:35<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2240; scene = ['cf88375b1e6b8486', '0ad0740248869c93', '860cb96a18812b20', '75cee01915619dcc', '09552acd6a728358', '84288b2881d0d257', '90c7c8da460d37cf', '55bf4e702787a6cb', '47d5c52893beea42', 'af8966ce60331634', '54ef0de0d7f14ad0', '0e36759e631b3a7d', '369dfe5f8711b6f0', '1d99b75a8f309f01', 'a03536509e83e665', 'f9f371c1f9451052']; context = [[71, 98], [15, 42], [15, 42], [25, 51], [60, 88], [50, 76], [1, 27], [160, 186], [96, 124], [0, 26], [3, 30], [82, 108], [173, 200], [24, 50], [154, 181], [246, 273]]; loss = 0.015010 low_pass_filter = 1.111
+Epoch 0: | | 2249/? [23:41<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2250; scene = ['18b5dfe0eaf3513b', '9dece217c9bfe277', '886fa556f9640a63', '983ed363d48f5088', '891e6d7d39f1be97', '8998f29ac7883059', 'e4204c923eb68534', '9a21fdca2777d0cf', '0e7a94867925f87f', 'e03c32cada8f8685', '9f044d2c0f9f66b5', '12590c946a642acd', '8a803ac9260584d9', '5c13b85999c1fa5c', 'c7b3410412698cfe', 'deb947f542d0bc43']; context = [[241, 268], [104, 130], [155, 181], [180, 206], [5, 31], [3, 30], [107, 135], [64, 90], [9, 35], [11, 38], [70, 98], [8, 34], [7, 33], [33, 60], [1, 27], [46, 72]]; loss = 0.018296 low_pass_filter = 1.111
+Epoch 0: | | 2259/? [23:47<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2260; scene = ['fc44ec58e01708cd', '8751b1164824cffc', '3a8f60d224cb68aa', '0ff852b74d9a7557', 'cdb0d98b47396f65', '459690a341c549db', 'c2dc42562c814eee', 'e2aaaef9c0310d0d', 'b5bcbf6a8f08edd1', '8fd9640fea8cf3c3', '87de365387d61409', '223a5d0e61cb7f89', '3156073334262295', 'b8919377ab8f5552', '87a853feaf9f6aed', '6c977851c159a936']; context = [[103, 129], [167, 194], [8, 36], [130, 158], [37, 65], [199, 225], [68, 95], [145, 173], [148, 176], [25, 52], [17, 43], [44, 70], [99, 127], [11, 37], [36, 63], [3, 30]]; loss = 0.015220 low_pass_filter = 1.111
+Epoch 0: | | 2269/? [23:53<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2270; scene = ['2fd9f35c8ac11f0e', 'a3302f8344181353', 'e46908b32babe163', 'f80b01e1b3d6aef6', 'd1e1437df8235681', 'e423eafb08231cab', 'd994b54d0c38f6a5', 'c995ce06eef54732', '81bb3be1a42ecfac', 'beb77dca75f90444', 'b737264f3104f28a', '269f2f8dd0b8dc28', '65d07fcdfb062070', 'ba856f9451354f41', 'bdcac8b99ca28946', '10ec4d16f705a260']; context = [[30, 58], [74, 102], [52, 79], [47, 74], [51, 79], [31, 59], [30, 57], [41, 68], [53, 81], [46, 74], [43, 71], [4, 31], [73, 101], [52, 78], [30, 57], [54, 82]]; loss = 0.016302 low_pass_filter = 1.111
+Epoch 0: | | 2279/? [24:00<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2280; scene = ['4d0d26a83b1768dd', '453102f725872642', 'a47203cfd5e0a478', 'f98d6c32648cdc8b', '393e7c167eb55e34', '0a9e82926ed00bec', '55e24e20d3c00382', '7b6731292a087e9a', '4486fd0a58b1b39b', '23ec4735aa0a67bc', 'f8b4c73e8050c659', 'd8a2cf8b506f71c7', '71bb80ab49a07c24', 'd59c00fd440ac6c5', 'ae9f87b6c5c2c5de', 'baa0a61d22b9e051']; context = [[52, 80], [17, 43], [30, 57], [34, 60], [212, 240], [7, 35], [14, 42], [117, 145], [70, 96], [164, 190], [7, 33], [34, 60], [229, 255], [146, 173], [60, 86], [11, 37]]; loss = 0.014959 low_pass_filter = 1.111
+Epoch 0: | | 2289/? [24:06<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2290; scene = ['1aea90446759f7d8', '11ede909d25ca333', 'aefe7fe6eefd9ce9', 'd1c0d7a48baa147e', '17e3d4b53cae3c08', 'ed8c7a2f116410b0', 'e8e48c278d3f4624', 'e04842c075de81a7', '19f01733933b6613', 'd9c63fba53fa07e3', 'b1fca0dbc9766057', 'd3d5b66051e3c68d', 'ec28820800ede2c5', 'eaa856546c0b26c1', 'ddd301ed1123faa8', '250a8529f9e40503']; context = [[165, 191], [16, 43], [46, 74], [12, 38], [17, 44], [24, 52], [99, 126], [7, 33], [81, 107], [0, 28], [93, 121], [8, 34], [36, 63], [37, 63], [6, 32], [3, 29]]; loss = 0.014204 low_pass_filter = 1.111
+Epoch 0: | | 2299/? [24:12<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2300; scene = ['86e922e5d4069d1e', 'a7d424b37900c8fd', '83da83241d5d812d', '5f8c4fdda0cf8f5f', 'b5d6c77bcf7cdf5e', 'e6bd49192ab21f5d', 'd78279228e96c9ff', '789bc3d0827b3458', '09a6ab6ebfa53654', '9b72c44a6343236a', 'abb64631476a51f6', '25aca069a7b5ad8c', 'caec71abd1d65864', '3f40a05deb57517b', '4a609368e3b1a0e2', '655c545268708bf3']; context = [[48, 75], [242, 270], [1, 29], [77, 105], [219, 246], [25, 53], [229, 257], [31, 58], [52, 79], [5, 33], [99, 125], [17, 45], [6, 32], [71, 98], [28, 55], [23, 50]]; loss = 0.016716 low_pass_filter = 1.111
+Epoch 0: | | 2309/? [24:18<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2310; scene = ['0511be7085235229', '18eecb32a75b6aed', '9ffe1fc23d69426f', 'f0c98d9d2b7f6b25', 'eb9e48a39e18f88c', '29c5fa6a83baac7b', 'b45bb780dbfc0268', '6bcc23e1031228e1', 'c8198e376ce5fe21', '093573b7f8c5a9c7', '102be2e005584ebe', 'bc0dc36346da20b0', '72d827d8b9fb16d7', 'f4ba1460268eac35', '5e39a2c628afc961', 'dd4746055f52e4e7']; context = [[48, 74], [1, 29], [76, 102], [2, 30], [11, 37], [45, 73], [70, 98], [9, 37], [77, 105], [23, 51], [41, 69], [42, 68], [3, 31], [12, 40], [32, 60], [34, 62]]; loss = 0.013570 low_pass_filter = 1.111
+Epoch 0: | | 2319/? [24:24<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2320; scene = ['daa2fe679b1fe2a8', '35fb934b6f5d7250', '334f9f98429d2b46', '6a5d174f02a79995', 'c24a8b6d5124b2b4', 'd44cfdddecdcbcf5', '05b5752d615deeb7', 'c218bbad1da54262', 'd7b29df60c4100dc', 'a6d66c0213f5e1e6', '14be022bf2f7701f', 'd77ce6c24f2ac051', '3b8785bae23cbdb8', '9c8c945c02d7bfce', '77e8495e8c522bca', 'f60f5ea9b6487369']; context = [[13, 40], [51, 77], [49, 76], [11, 37], [26, 54], [36, 63], [27, 55], [7, 33], [66, 93], [110, 137], [3, 29], [64, 90], [3, 31], [123, 151], [107, 133], [158, 186]]; loss = 0.015745 low_pass_filter = 1.111
+Epoch 0: | | 2329/? [24:31<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2330; scene = ['130eca6f6e106392', '42edbc89b87f5bce', '8f6331be5008a615', '351c9c82f8446846', '744b028cb6b33b5b', '9894b187d115c065', '219e257b654adcd3', '478e07af7840c08a', 'e2ac2325c4957d8f', '186605eea1a41f21', 'ca19843dcf89d83b', '66de8729fe760dd8', '818a3347a8e4afdd', 'a212e7b4ef90cba7', '7ab3467d71486fcf', '1a912617a1d3a00b']; context = [[89, 115], [14, 40], [18, 46], [107, 134], [29, 55], [40, 66], [39, 67], [7, 35], [17, 44], [131, 157], [24, 52], [74, 100], [54, 80], [42, 69], [48, 75], [30, 58]]; loss = 0.018709 low_pass_filter = 1.111
+Epoch 0: | | 2339/? [24:37<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2340; scene = ['8be3a9f4149545b6', '96511adf959795aa', 'f0dede73d7704d1f', 'b215bd4e6fb3908e', '543da4cef5a596fd', 'f0dbc908f65693ae', '00703cbf7531ef11', 'd90d5e7978792a54', '02e30c4cf8156c01', '9b74cdaf0866eede', 'e2fe2ac70897e69e', '2d7243929156069e', 'c0580f743d41ee56', 'fa1c6dfa9c92a263', '01c143c81a4d2145', '8912e1cff2c4c8b0']; context = [[7, 33], [106, 133], [52, 80], [109, 136], [10, 38], [79, 106], [62, 89], [79, 105], [1, 29], [3, 31], [135, 162], [108, 135], [12, 40], [10, 37], [28, 54], [90, 116]]; loss = 0.017150 low_pass_filter = 1.111
+Epoch 0: | | 2349/? [24:43<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2350; scene = ['d9813b8d0537a82e', '4880338684f04010', '1bb273edf1201743', 'd751cbf65f8a1ff1', '6e7b580f6d0dc690', '761eb006311b0e01', '94aa49ed217160d2', 'f400159b3dd78ef1', '960176f87cb28bcd', '0c0914577ebe7288', '305f1ab2490a9a1d', '4188d18d531e631d', '3c98d600041d2bcc', 'c9a73532f0cc200e', '5b3ebcc7978db790', '97f73b3de5c78cc3']; context = [[0, 29], [47, 74], [60, 86], [79, 107], [181, 209], [19, 48], [18, 46], [215, 241], [59, 86], [32, 58], [1, 30], [153, 180], [0, 27], [156, 182], [5, 33], [81, 110]]; loss = 0.014565 low_pass_filter = 1.111
+Epoch 0: | | 2359/? [24:50<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2360; scene = ['88afcc4cc17ad62c', '967cf97a932fa507', '84af5a6dc02a4fc5', 'f0faea75c39058fa', 'e005cdd5b468ccc9', 'fdf5c68e52d40e62', 'd1ebd5d89e694609', '9b417f4a07fa1404', 'f0e75cde2232224a', '0a0759a2dff47613', '54f4ae9238e5d273', '1b92ff53549440e5', '159b1908406ca716', '84775696a780d940', '96bfdf4e989399f5', '293ae3a90e34ba37']; context = [[8, 37], [11, 37], [5, 33], [55, 83], [15, 42], [1, 27], [95, 122], [81, 107], [11, 37], [33, 62], [18, 45], [42, 69], [11, 39], [20, 48], [9, 36], [98, 124]]; loss = 0.016250 low_pass_filter = 1.111
+Epoch 0: | | 2369/? [24:56<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2370; scene = ['dc0c9d0997f82183', '3bd99b35d4566e6d', 'c9690d54fb593e04', '7fc05882bd1f775b', 'ff2008cd674a7df5', '3d0c6eacfc39aafa', '6a5ba78f4d0bc69c', 'ef84137ab9a199c7', 'e0993a60d803bd40', '4538a4e738f84589', '3fbb0670a23bf050', '5917b96d69b60795', 'd946391d7812c84c', 'bb09fe710c29a6f1', 'cea7f0f676df3c07', 'cb4d635a85911b86']; context = [[225, 252], [3, 30], [38, 64], [86, 115], [2, 28], [78, 106], [55, 81], [28, 54], [21, 50], [39, 66], [235, 261], [64, 91], [32, 61], [56, 83], [120, 148], [5, 34]]; loss = 0.015594 low_pass_filter = 1.111
+Epoch 0: | | 2379/? [25:02<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2380; scene = ['55f1b82ae9c5571f', '8e9f01760ce55500', '5f8f8bae3e8c4a23', '8c8730be5c873d5d', '4adb784a75523d30', '575bb0dab86f4997', '7f19608dbd224ae1', '69aa625f9673c808', 'e8cb8f24c2fa8a45', 'bd439bb9d45c1125', '107282574d3d3d81', 'a0cd28a901a7589a', '9c3cedeaa32f5a18', '4747dd13c4f84996', '005ee91e6c694114', 'a0944ee913e7b7a5']; context = [[105, 131], [25, 51], [24, 50], [13, 39], [90, 118], [11, 39], [19, 46], [45, 73], [55, 83], [99, 128], [16, 45], [70, 96], [116, 145], [30, 56], [89, 115], [58, 84]]; loss = 0.016994 low_pass_filter = 1.111
+Epoch 0: | | 2389/? [25:08<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2390; scene = ['2c6c9bef73d70f57', 'afd73a23aaeed5ce', 'c7893e642cb8fd85', '50e6c4ec143903bb', '54f437c95d89a7e8', 'b53dacad44c35ce1', '97be39180cf3419b', '31b89c53160b4f2f', '8739c0c356470d1f', '41e45fb36a6f26cd', '878900a19170087e', 'b98f8d6397991a0a', '15eb30d0189f08e7', 'c3397e5ad7b9a1ea', 'c189d9c69d668ae3', '83cad5d80041582a']; context = [[89, 115], [82, 111], [41, 67], [6, 34], [84, 111], [4, 32], [68, 94], [134, 161], [41, 70], [173, 202], [45, 74], [11, 37], [1, 28], [14, 41], [13, 42], [18, 45]]; loss = 0.016512 low_pass_filter = 1.111
+Epoch 0: | | 2399/? [25:14<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2400; scene = ['b43fe5b3c1607b89', '75f5325d53419390', '3bffe8695f641222', '9cd16d2f769cf63e', '63405472850ce417', '9318f2dc9cb8a203', 'a8b5ced332106f6e', '453f503f3d6e33a7', '317ba8e0b5413a83', '9e94b1a8e473c513', 'da09baba072e5aaf', '0e9763c2e321d50a', 'df17465173ff113c', '1f4a515822cf8fff', 'd8af4b4bd916921c', 'd9462b4c7fc5a88d']; context = [[4, 31], [44, 73], [108, 134], [1, 27], [250, 277], [28, 55], [48, 77], [3, 32], [6, 33], [16, 44], [8, 36], [34, 60], [39, 68], [1, 28], [7, 36], [61, 88]]; loss = 0.013737 low_pass_filter = 1.111
+Epoch 0: | | 2409/? [25:20<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2410; scene = ['51a2dbc47a4fb524', 'b561cfe3827fe605', '3e9346b65dc684e4', '7a6bda7be9ddd883', '3f2add62a0b1d691', '1665c14b021957de', '25c3ed412bb25315', 'a4f016cebe459279', '83ac3cb620e43578', '13668a644a9d78c2', 'e60e765e62130960', 'ec69ce38f103630c', '6a754bfbd0e02830', '26bd2f3807377c77', 'c43bdb6be580b5e1', 'fa46d2e31ca6700f']; context = [[36, 62], [120, 147], [100, 128], [1, 30], [11, 40], [18, 46], [44, 73], [15, 43], [37, 66], [1, 27], [142, 170], [16, 45], [45, 74], [61, 90], [38, 67], [2, 31]]; loss = 0.016813 low_pass_filter = 1.111
+Epoch 0: | | 2419/? [25:27<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2420; scene = ['a350e40c8e303736', 'fbc0f1f919e37f6f', '629db9198cf5f346', 'af0c910f1fcfac26', '3ea09d38127a3975', 'f3db43d03174c1e0', '1b52746e12c3a649', 'a9bddee6b5508f7f', '35d38555a3bad2d6', 'f46ab77b51367dad', '4e7f5c62bb1d90b6', '386d858945eb1e3b', '87b4113d1fb5fadc', 'be93db481f19ff62', '4c3f441c94d63954', '0d9b2d55b1a56943']; context = [[96, 124], [155, 182], [9, 38], [68, 96], [20, 47], [7, 33], [31, 58], [50, 79], [87, 113], [92, 119], [129, 155], [58, 84], [46, 74], [102, 130], [8, 34], [93, 119]]; loss = 0.017131 low_pass_filter = 1.111
+Epoch 0: | | 2429/? [25:33<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2430; scene = ['fac20ccda46a7de9', '4cbfaa52325775ab', 'f798bf110e50ae05', 'fbf1d3c5991263b5', '71d8d0a848667302', 'b0189789fe6bc9c2', '35158f6e65bf766d', 'd88fa63cc32b7683', '331ef24c06150099', 'f545152700b96263', 'bf8ad1259257dc45', '6c0ef012029b30f2', 'c2c61e3082375bd8', 'aae62c9143d59bf0', '32dc706b5277e8a4', '0edd08d42e5a2f9f']; context = [[99, 126], [70, 99], [125, 154], [37, 64], [4, 32], [42, 68], [64, 92], [44, 72], [152, 181], [0, 29], [34, 60], [11, 39], [51, 77], [235, 262], [5, 34], [168, 195]]; loss = 0.013053 low_pass_filter = 1.111
+Epoch 0: | | 2439/? [25:39<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2440; scene = ['a00596889eff80ec', 'f0680c43c5c34858', '28da1359e6e9937d', 'ec9f85b999210b88', 'dfe5b50169b728c0', '525c642c5a79c4ee', '319fb20c1a5fe820', '78b54fa5b5742181', 'fedfc1765aa6ac6b', 'd4450052d60e5f31', 'c05818414f7e530b', '0fd0ead3c363584e', '879313d352b43a95', '54d0782c7dcdfe61', '32fc4d38acbd93b7', '5d68ede0f829a545']; context = [[57, 83], [7, 36], [61, 89], [183, 210], [3, 29], [27, 54], [40, 68], [77, 103], [24, 50], [17, 43], [65, 93], [63, 91], [7, 36], [28, 56], [0, 26], [39, 66]]; loss = 0.013585 low_pass_filter = 1.111
+Epoch 0: | | 2449/? [25:45<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2450; scene = ['9d1ee413421f219b', '6847ec57bb326a47', '6447ab4ccf80feae', 'cff7c5b3868704cd', '6d4e40bc2b18c6fe', 'acbaf3928100486d', 'e640fb1aab7928a5', '9d763d2754c2a6a0', '9d1e29a2a121db05', '475c9199d21642b7', 'b69e2c1eeb987ec3', '55beb1567126410a', 'f2acfbea86f8c413', '21eea9d3442cbdec', '0cd8897b8a77eddb', '32d09e777fe79723']; context = [[31, 60], [104, 133], [132, 159], [152, 179], [33, 61], [3, 32], [35, 62], [210, 237], [249, 277], [242, 268], [67, 94], [78, 106], [72, 101], [110, 137], [51, 79], [77, 104]]; loss = 0.012324 low_pass_filter = 1.111
+Epoch 0: | | 2459/? [25:51<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2460; scene = ['902c1c83e18a1ce0', '45404925d497bd85', '2f28b83c3bcb1394', '280b130eabfc284c', '1c7f6e9252a56933', 'd297538f14da1f52', 'c1f569cc8340fdcd', 'f4e169b7394250b0', 'ccd70d500f2e2bc9', '8719fa7d74daa634', 'e6ec55219ebe382e', '99e513749f0aa3df', '0da1ec5684bb7324', '8024a13b551c34cc', 'a8a2445b40f0ee30', 'c83fa4955ce845b6']; context = [[51, 80], [67, 93], [2, 28], [3, 31], [5, 31], [239, 268], [1, 28], [247, 273], [56, 82], [68, 97], [28, 55], [5, 32], [37, 65], [36, 65], [38, 64], [158, 184]]; loss = 0.012892 low_pass_filter = 1.111
+Epoch 0: | | 2469/? [25:57<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2470; scene = ['e7f549ceccf3bed6', '7e717082bedd01e8', 'e83e3c6a186d4b14', '36b358d18663a114', '4d99f9c1332d1442', '038723be25e892b7', '62e9e5716c3ac2f6', 'c1da5a122e3a6486', '4fe12b24324c7c47', '506c7067b8d54db9', '7e4fa483bbb17c5b', '668193bde2b21db4', '4f2bfe280d413022', 'd10e440ff0a99a23', '7d1d3e8e7a8d1910', '61ba0d41e39ca681']; context = [[29, 57], [58, 87], [12, 41], [196, 224], [92, 120], [23, 51], [0, 28], [2, 30], [76, 102], [10, 39], [99, 128], [66, 95], [77, 106], [109, 136], [14, 43], [72, 100]]; loss = 0.018090 low_pass_filter = 1.111
+Epoch 0: | | 2479/? [26:04<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2480; scene = ['417e0336e9db3eb8', '15aad52d11a26f25', '29d6603c1a41ef45', '1db629688010819a', 'abf5fcf8652aeb3c', '0bd7d1356643cb9e', '4d73afcba9cefc99', '78c4c1ec818e5a56', '335068a6ec7f576e', '062fa8871944a658', 'b97d8378949ed0b7', '9266579d30f7b588', 'a298b940467fa76f', '9f99a95604c4986f', 'eedc455e3dcad2e8', '38366abfb0f92890']; context = [[47, 75], [16, 42], [35, 62], [24, 53], [13, 41], [39, 65], [52, 80], [50, 76], [39, 68], [14, 41], [44, 71], [236, 265], [18, 46], [167, 196], [14, 43], [2, 30]]; loss = 0.015279 low_pass_filter = 1.111
+Epoch 0: | | 2489/? [26:10<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2490; scene = ['871fef035e6b93dd', '1894f05fbefb5abe', '5d30b873b1035b91', 'c987b733564bd36a', '39ce17d592aa08ff', 'c1785398ae044ecc', '92a43963f8d1dc2a', '37270249573b5fef', '4baf148b0e465154', '79eaf9a487c5de91', '3301c6c4f8324fb7', '48dd32a0f4a2367b', 'd90f68bab916e8a0', '010fb4b5e0e37c71', '890e507d5a12b8a8', 'fe3e8063136b92e1']; context = [[57, 86], [42, 70], [1, 29], [22, 48], [105, 133], [35, 62], [4, 32], [40, 68], [32, 58], [75, 104], [62, 88], [69, 95], [81, 108], [41, 68], [13, 39], [168, 194]]; loss = 0.014840 low_pass_filter = 1.111
+Epoch 0: | | 2499/? [26:17<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2500; scene = ['1f08e4fbc4bebedf', '86af7cd006b63f11', 'd7ca8401b3a2387b', 'f1c70b01433e528f', '02ae95aab1b4932e', '80b04e7c5d21facf', '628d53c4fa7f75e6', 'f9357b87fc3e1578', 'adb7e9569b2d54e8', '3dfdc1b6c7b658e3', '5b3422e1ad0e3f86', '0b3f191324b209a5', 'e62120d353663d7b', '694b55576cadcfc0', '7d1fec00044efc66', '1a41eb1e3be69b00']; context = [[0, 27], [53, 79], [1, 30], [8, 35], [56, 84], [53, 81], [86, 112], [101, 130], [0, 28], [75, 101], [87, 115], [163, 191], [0, 28], [53, 82], [13, 39], [2, 29]]; loss = 0.017424 low_pass_filter = 1.111
+Epoch 0: | | 2509/? [26:23<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2510; scene = ['e3ba7f1df93744a7', '6d952c7bf6673b7a', '70a833fc4f7bfcf4', 'bd624da49f0d72a5', 'efd2e6e6ed5904ae', '125b8d9c4d67f6c5', '7436df852025cdda', 'e8153057d8273032', 'e3bf238bbde4f6fc', '14e5c1a9d0604d37', '891803d5398b2265', '2544ca0eb789f211', '7a6869cb55388541', 'f8a2fd8db81f71b2', '7738cc583bce642d', '1e75265d74b6b717']; context = [[108, 136], [58, 87], [66, 95], [242, 268], [92, 119], [48, 76], [78, 107], [41, 69], [58, 87], [58, 84], [29, 57], [121, 147], [41, 70], [28, 56], [85, 113], [95, 121]]; loss = 0.016108 low_pass_filter = 1.111
+Epoch 0: | | 2519/? [26:29<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistitrain step 2520; scene = ['aa293d98738dc39f', '148f2198e13d1b6e', 'd4eb98b2850556d3', 'cf0cdd221b631e08', 'ffa8446bde2a768b', 'f01d231329f4844a', '2aa058b8233968d1', '3a3b58cdca3b3b32', '66d961b1e63c7414', '2633b15c450d8a36', 'e5c47b626f9a7fa4', '69cc85f49345c36d', '2e7b1fd104af6591', '165eaaa2a7b5c11f', '674835273a35cbdf', 'd792c4d9f1feeda6']; context = [[22, 49], [61, 90], [21, 49], [215, 241], [85, 112], [49, 78], [107, 136], [50, 79], [19, 46], [20, 49], [14, 41], [36, 65], [5, 34], [45, 74], [55, 83], [0, 27]]; loss = 0.013814 low_pass_filter = 1.111
+Epoch 0: | | 2529/? [26:35<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2530; scene = ['43715c109fe873c0', '84e4a70283bc8836', 'a68582f952f8176f', 'a21fe9049dd4f031', '210097cafe1197e5', '23a912484f1d03b7', '627d8b1a65c08482', '9e409d0392d4f763', 'e4f49bede305510e', '3d1b5179f6509fee', '8842ecc795060164', '810f5259de1dcd97', '2925cbf7ba6f1d8f', '4d0c3fee830fa3b8', '67d2487d7b4bde8a', '387b69e395b27574']; context = [[55, 82], [71, 99], [10, 39], [22, 48], [29, 57], [37, 63], [162, 188], [139, 168], [90, 117], [1, 28], [3, 31], [5, 32], [24, 52], [187, 214], [29, 58], [101, 129]]; loss = 0.013846 low_pass_filter = 1.111
+Epoch 0: | | 2539/? [26:41<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2540; scene = ['3e26a7ae81ed795d', '0ef454385d221501', '7d4c6af5e7dd0a7c', '2942cefcb7358cce', '5118b43a3f332d06', 'ccb4fb4ff1862f97', 'a35fcfd5ca571296', 'e2b10586530728fd', '4aa75a27462c5bcf', 'c50585b25ebfe2ba', '392eab2c84c17409', '1a3774eec69dbf4c', 'd6ac297a4d15b7b0', 'd0d25dda60a6048b', '14b72a12818f15cb', 'afd1f0b4fba0c645']; context = [[1, 30], [3, 29], [0, 26], [84, 111], [22, 49], [61, 89], [68, 96], [17, 46], [5, 33], [18, 44], [33, 62], [89, 115], [29, 55], [67, 95], [44, 71], [165, 191]]; loss = 0.015272 low_pass_filter = 1.111
+Epoch 0: | | 2549/? [26:47<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2550; scene = ['eaeadebc96d33431', '186b1e7d8bc86601', '30da666be764ae4b', '6c43ed1aba1cf46d', 'bed31d8c359085c9', '4969bcb3550c0172', '6bcce32993a13c68', '059cd20b64598054', '757dc09596c4872c', 'e20f3440223cbde1', '82ba678c941b6578', 'ddc11c891f471dd0', 'c3d6a82b60bdfc35', '5649070bc0083d83', '12e85fb6e140ee85', '837a853e726c6ad2']; context = [[34, 62], [67, 93], [1, 28], [16, 42], [128, 154], [68, 96], [21, 47], [0, 27], [6, 32], [154, 180], [89, 116], [131, 159], [13, 41], [0, 26], [65, 91], [27, 55]]; loss = 0.017262 low_pass_filter = 1.111
+Epoch 0: | | 2559/? [26:53<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2560; scene = ['96cb3db75422f95b', '0fa74425b75be77d', '45ce373b035b8fd8', '260daae5c4e5ef5a', 'c4b188678255126c', 'c37b454f5da63294', '1bccb21ba03d97ee', '7982de92dc8af2ae', 'e0080506fa76c083', 'a544201857eb90d9', '2fe6276cc1839419', '34c71b535c38bb77', '5b3b21b947b6ac98', '5711ae7fe4ad2138', '1c394ede7ac77b5a', '26a13a48c0505d91']; context = [[152, 180], [10, 36], [94, 122], [118, 145], [1, 29], [45, 72], [39, 65], [5, 32], [58, 85], [91, 117], [124, 151], [38, 67], [13, 42], [52, 81], [84, 111], [73, 100]]; loss = 0.013686 low_pass_filter = 1.111
+Epoch 0: | | 2569/? [27:00<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2570; scene = ['fda6de02b80cf549', '1b2a331419e7e43d', '57274cc3fac11cbd', 'd9aad93b7c670519', 'f8f773a036b4752b', '370ed12221433e23', '4ad5cecab1988512', '98f9e6a5b0475808', '362336fc9e531a0a', '6f8b6524e87dc23c', '4d0c2481182d6b42', '6408008d0dcba73e', '891b961086b8c3c1', '4e64a4ac8b752f34', 'a6e476731dc84ba1', '82eea335b00f5e72']; context = [[51, 80], [37, 64], [30, 58], [144, 173], [47, 75], [9, 36], [102, 128], [190, 218], [7, 34], [52, 81], [7, 33], [13, 41], [232, 260], [219, 247], [35, 63], [142, 169]]; loss = 0.015078 low_pass_filter = 1.111
+Epoch 0: | | 2579/? [27:06<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2580; scene = ['064259812e015154', '7840587b79766a50', '71222ce1f9bca7a6', '56453c8b912ad0f8', 'abfc80bb9eee93b2', 'ab04798f9ddd9aa9', '4ba784982056b564', 'e33d4bd8288fc69e', '0692c8f769b8cd3a', 'c3c6a1d4b69cdaf6', 'd3e71bbbe7705414', '883e411c844935bd', 'cc1d9324e09232f4', 'ffdc1ca307b644ad', 'caf5b80ffb785dd3', 'c214b28101c8c489']; context = [[61, 89], [15, 44], [5, 33], [51, 79], [243, 270], [90, 117], [42, 69], [172, 198], [13, 40], [22, 49], [41, 69], [23, 50], [59, 87], [42, 70], [118, 146], [2, 29]]; loss = 0.012871 low_pass_filter = 1.111
+Epoch 0: | | 2589/? [27:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2590; scene = ['3b74c3f144474d24', '8fed2c4e70775877', 'fcdcc79356464898', 'c74c318cbdc27580', '4b7634eee1c5582f', 'c32210a376137088', '039a82846f63ce27', '57cb1fd49a354fba', '921a2747f28f1aee', '43f2fea0a0027461', 'fbeb7fe99c10b717', 'df73e3e6ea5086d9', 'a40c454857fdf94c', 'a9527d6eb43fc8a2', 'fb01f5097fbb0cff', '2f4d619df72bfc71']; context = [[17, 45], [6, 34], [8, 35], [48, 75], [31, 57], [22, 49], [18, 46], [231, 257], [49, 77], [85, 111], [27, 53], [27, 53], [31, 59], [37, 65], [123, 152], [73, 100]]; loss = 0.014702 low_pass_filter = 1.111
+Epoch 0: | | 2599/? [27:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2600; scene = ['f1b3a5ea8e5b5c49', 'beb1dd411fbbbddf', 'd9121fd963a819a3', 'ac45c4c003b301fa', 'de4deb5003c39eaa', '8b5f8899f2dba87b', 'b8a31df5ed4b5201', 'a7f2a84e3c3d2246', '3b0b68d41e6ba982', 'f777e84de50ab343', 'b1b3445652e40300', '78b0572c7a01313d', '85fe0c9de56c57f0', '09f3717e39a68255', '36c9ae4fa8a4aecd', '696e1d29b7f7be5f']; context = [[124, 150], [1, 29], [20, 46], [5, 34], [48, 75], [29, 57], [10, 37], [0, 27], [14, 43], [13, 39], [148, 174], [1, 29], [148, 174], [83, 112], [91, 119], [52, 79]]; loss = 0.012357 low_pass_filter = 1.111
+Epoch 0: | | 2609/? [27:24<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2610; scene = ['baafe805d390af0d', '94b830db1d77fbaf', '142cfddce52374de', '48d5b6a6f6673781', '5a921708be7d49db', '0a1654feaf539c75', 'e6670f2ab82d23b8', '0880f556a19d07f5', '4bd13783695ed549', '641310a2d9c88eab', '412804362c1bce61', '9b6a57a6ff02dd12', '577c560e66207737', '5f19342a4c3ee1c5', 'af05e9f84b56ad4b', '8568c60d6f777386']; context = [[17, 45], [77, 106], [3, 31], [34, 62], [28, 55], [28, 54], [87, 114], [29, 57], [41, 69], [50, 78], [29, 55], [26, 53], [1, 27], [1, 28], [144, 171], [59, 86]]; loss = 0.014335 low_pass_filter = 1.111
+Epoch 0: | | 2619/? [27:31<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2620; scene = ['d938c73738634cbf', '359af2b0f4c26712', '9c248f0c3e94154d', 'ba94402402fc0c58', 'c301d66da36ab4f6', '592c1eea73fa43a2', '9928ce087f146444', '33adc68fe41da745', '944da8caf16bf01d', 'ea34fe29b32d99f1', '2dfd824c1516f925', 'c21a7d55e154f542', 'b88db7960be465ab', 'e25fdd12f8ddbe42', 'fd8c58805a736806', '00a5cfccd6508e96']; context = [[5, 34], [42, 68], [108, 136], [4, 32], [57, 83], [45, 71], [105, 131], [16, 45], [212, 241], [8, 37], [11, 39], [41, 69], [89, 117], [46, 72], [31, 60], [122, 151]]; loss = 0.014066 low_pass_filter = 1.111
+Epoch 0: | | 2629/? [27:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2630; scene = ['87042fddb0b19a0f', '172fccf6211f3546', '50e67468797f400e', '33f49673459fcb0e', '2316b4d8d41df4e5', 'cd0b66c5de7b7a00', 'ca763356c13cda22', '196e67f35573aee5', '44e3e8bf1a3ee95d', 'f1f2e1670095235f', '6347dab2e71b8e3d', '7766ed41dc09a8bc', 'dd4fa5f6bab88faa', 'eb995245e27d4501', '3e4cc481bf540f72', 'e0106272b4009cfc']; context = [[67, 93], [8, 37], [100, 126], [13, 42], [81, 107], [118, 145], [57, 86], [114, 140], [43, 70], [153, 182], [13, 42], [25, 51], [47, 73], [136, 164], [189, 216], [50, 76]]; loss = 0.014673 low_pass_filter = 1.111
+Epoch 0: | | 2639/? [27:44<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2640; scene = ['6f4af7195e3a97b7', '5f6c34666d91e1e3', '25e1057952554e53', 'b7fdfb242e095110', '43866713556dd0ae', 'a5ef4d029ec244c6', 'ddeb26aee2619bf5', '7eff5e9e76ba5d7b', '2192e23641f6bf31', '515754f1d2815313', '2da1778385f8c639', '3333b88b7b828755', '07251deb1023bf31', '3c1930672c047cd5', '7bd19f4b8fe7604a', '03fcc7f08b6230dd']; context = [[32, 61], [26, 54], [89, 115], [33, 59], [34, 61], [45, 73], [15, 44], [40, 69], [182, 210], [19, 48], [11, 38], [107, 135], [55, 83], [30, 58], [13, 42], [35, 61]]; loss = 0.016493 low_pass_filter = 1.111
+Epoch 0: | | 2649/? [27:50<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2650; scene = ['f47277f7f51b6864', '8e337798f212fb43', '295f7411f92f09d9', '9fcde3fe23e549d8', '7ca343c7d29b984b', 'be75bc0a2ba73990', 'c79fe61f55945277', '9f0f1ad360ccd857', '994090734564320b', 'a76ec83c9984d4cd', '2b09a49067809eee', '786d7805ee6f3ad4', '9b07d9e9bfde2127', 'a2272a447c64f48b', 'a8013f840680bad5', 'b8c4f3337fbd630e']; context = [[13, 42], [99, 125], [51, 77], [11, 38], [60, 86], [40, 67], [43, 69], [43, 70], [25, 53], [2, 28], [1, 29], [185, 212], [0, 27], [54, 81], [9, 38], [29, 57]]; loss = 0.015811 low_pass_filter = 1.111
+Epoch 0: | | 2659/? [27:56<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2660; scene = ['05854d9374c484ca', '290127cd737563cc', 'f6cdb8d0733335ad', '023db58efffc91c6', '24c90b915d34ef39', '7b6d85d305712530', '076bbd1caeea14aa', '2a9ed0c8f1e73164', 'afada79155d2e80a', '390a2ef1eccd3a2d', 'ceb6ae5e9a1e7e8e', '0f10ee595239baa1', '83270f13433486e2', '3d482adab376b844', 'dfb0d3dc0e39b336', '535dd05866664359']; context = [[18, 47], [16, 43], [85, 111], [217, 244], [69, 96], [65, 91], [57, 83], [5, 33], [4, 33], [3, 31], [2, 31], [40, 67], [90, 116], [5, 33], [0, 27], [9, 36]]; loss = 0.013186 low_pass_filter = 1.111
+Epoch 0: | | 2669/? [28:02<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2670; scene = ['346f36ef9992c30c', 'e22326b78f12ffdc', '48f30e638e906d02', '85f6a09d7c0ed82e', '5fa60c880368bb4f', '2a02d4281c5b97bb', '3650acf4e144d660', '501a6f4480ce533e', '6bbc8e2718708902', '7d70798a0178383e', '86c8c9b0a6200b4a', '75d7982a76052a50', '5c6eb6a2caa8b53c', 'cc095b6f7aaeff1f', 'e66e9d07a140e364', '54dd2fecd7c5469f']; context = [[115, 141], [51, 78], [105, 131], [55, 82], [50, 76], [12, 41], [10, 36], [6, 33], [23, 52], [3, 31], [49, 78], [1, 30], [30, 56], [29, 58], [2, 29], [31, 59]]; loss = 0.016676 low_pass_filter = 1.111
+Epoch 0: | | 2679/? [28:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2680; scene = ['a751b66299f1d15b', 'd2d56f61aa0000e9', '0d4d9f5a612e07e1', '00b9fa905d6c0830', 'fe973886ef233d3b', '7536ce49ae587cef', '7e73fccfa5fdbaf8', '62a3405c56eb738e', 'b684f0ec6d9c26b2', '040c698e24e08ed0', '2e4d851f9306e3dc', 'c85eadbc32f2adb0', '0421b2f436f8639b', 'cba4fb922ec2d6d4', 'db03fc84a638ede6', '039f60e42dce9e90']; context = [[30, 58], [6, 34], [57, 85], [5, 33], [242, 271], [45, 71], [36, 62], [45, 73], [33, 59], [43, 71], [62, 90], [217, 243], [20, 46], [93, 119], [16, 43], [49, 76]]; loss = 0.018935 low_pass_filter = 1.111
+Epoch 0: | | 2689/? [28:14<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2690; scene = ['d5473cb2512db1e8', 'cbc58d25231ba015', '079ecd0130a2ee5a', '89e458eaccf5b7d1', '6114bc0949f33943', 'f28b186ce4e71938', '9ad60ffef915e889', '33bec869e73e7247', '7909d1a385285e9a', '42500f7d1c55ef18', '4eeb65125c3f0fc9', '099a15b4ca13f1ad', '911908173c30f240', 'eacf756b2e7d71e3', '6f7ff483d3462c74', 'de8b3d14296c6fc3']; context = [[0, 26], [118, 146], [40, 68], [10, 39], [93, 121], [62, 91], [80, 108], [13, 40], [3, 31], [1, 29], [16, 43], [14, 43], [1, 27], [41, 70], [71, 100], [64, 91]]; loss = 0.017644 low_pass_filter = 1.111
+Epoch 0: | | 2699/? [28:21<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2700; scene = ['d3175d40e3679fd5', '53bcd9c6deece10a', '77cba126c83354bb', '3de485eddabc0ae8', 'e615f13fcc5fd08b', '39d39ebdd5959a48', 'f7fd59b61fd90975', 'f1db7081cdca2869', 'df21bcc5b49bc2bd', '99318fe651526dcc', '23997b17e26ba688', '4bf92848b7ed1bcd', '1807c87f55f05974', 'e4a1a35e66a7646c', '3ba9ee5b0a0ab41f', 'c69799cd4137c6b5']; context = [[15, 44], [19, 46], [1, 27], [8, 34], [24, 53], [32, 59], [40, 68], [15, 41], [35, 62], [18, 47], [7, 35], [55, 82], [207, 233], [17, 45], [20, 48], [10, 38]]; loss = 0.017426 low_pass_filter = 1.111
+Epoch 0: | | 2709/? [28:27<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2710; scene = ['43bb5f6926547aae', '24fbc5df260712f5', '2898d4c76acafed9', 'b61d2950c49d51f0', 'bd7cf65e2226f5bc', '4ad4a325af74fc67', 'eda01f724b39dbef', 'a06a60dbcb377f70', 'bc51d02a05fce838', 'e52bb29b8c03f39e', '5994a80afa6ef0fe', '40aa327f7c331a8e', '8a6f058ea1b60e96', '67642ba9afa1b1cf', '2369b06fbf07fe26', '9c41777f108288ed']; context = [[111, 137], [0, 29], [42, 69], [59, 85], [11, 37], [5, 32], [31, 58], [49, 78], [218, 244], [26, 53], [44, 71], [82, 108], [98, 125], [23, 51], [50, 76], [0, 29]]; loss = 0.015400 low_pass_filter = 1.111
+Epoch 0: | | 2719/? [28:33<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2720; scene = ['558bb65bfbe54320', '5c636a8622d43293', '60bf0a4a1ac5f0c3', '2d7c79c978b0cc08', '05b11294218075e1', 'e6be807f7579f977', 'a4a2397604930cf7', '530511cbdf4fd449', '31ee0ad396e51e16', '0304b78786c9cc4f', 'a61c8d77fdac60ca', '4f0b9b05ed188565', '2b562d23a3c7e4cf', '276de289278edacc', '78ca16a59dd41338', '56f957c4bc88fa94']; context = [[43, 71], [55, 82], [30, 58], [8, 35], [102, 131], [16, 43], [26, 55], [112, 138], [24, 53], [87, 116], [170, 196], [150, 177], [123, 150], [39, 65], [30, 59], [20, 46]]; loss = 0.013287 low_pass_filter = 1.111
+Epoch 0: | | 2729/? [28:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2730; scene = ['a93d2bf11fa85ad1', '9d38ad32f22032fc', '6c6baea7b1d5f2e5', 'b814caa6ac18cac8', 'c8ead779553c0bb2', '4b2d80c510bb8088', '472681b6b747e84a', '1316f6809b85ba42', 'a60a2e4385f361ac', '75360b350aacca61', '338008a25afe3c9c', '09028d01a4e4343e', 'b6c080c0457896b1', '0ebbdd2d2ba475c7', '4609cbd1d6254985', '73341b79eaf41f6a']; context = [[37, 63], [14, 41], [27, 53], [18, 46], [53, 79], [2, 30], [13, 39], [20, 47], [25, 52], [34, 61], [67, 94], [18, 45], [19, 45], [28, 56], [5, 33], [37, 65]]; loss = 0.012797 low_pass_filter = 1.111
+Epoch 0: | | 2739/? [28:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2740; scene = ['72a9a4ad61faf344', '65ca4812c80ba806', '8f965746e016155f', '5f1eb519a6b1b975', 'ff1d2975de62c75c', 'aded09e472c481df', 'b4cb12731a693d63', '8987627b29eff8a0', '40655ef994aa4830', 'b419bfa4bf5e4d5f', 'db61ac0ddc21d1c9', 'bb1757b78d7c2c4c', '22e5318eb8d1a4e9', 'c27a58dab30fbcc2', '7297c259c805075a', '93ef5f616317a2ff']; context = [[91, 120], [4, 31], [54, 80], [35, 62], [5, 33], [27, 56], [52, 80], [48, 74], [85, 114], [21, 50], [96, 125], [21, 49], [7, 35], [22, 51], [16, 44], [42, 68]]; loss = 0.011349 low_pass_filter = 1.111
+Epoch 0: | | 2749/? [28:52<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2750; scene = ['a9c612e54be0a3cf', 'f6d3ecda8aa336f1', '7ab6a3bfcbea506b', 'c995765e68129655', 'd3601cae3d835072', '2cfc46890614d1ef', '98d8838631d8a52e', '10fda5483645a9da', '550c91c247fed3a5', '14056595020e5128', 'accb1432540b4ca9', '1bc2686e6cb1fb1a', '149706425ea3666a', 'cfbb220575fb9b02', '4eaf18a0f1a7e366', '9331e00704e39648']; context = [[89, 116], [67, 94], [35, 62], [44, 70], [35, 62], [216, 242], [0, 28], [65, 91], [1, 27], [9, 37], [5, 32], [1, 27], [34, 61], [72, 99], [199, 226], [62, 89]]; loss = 0.014198 low_pass_filter = 1.111
+Epoch 0: | | 2759/? [28:58<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2760; scene = ['e9e69d643ef7765f', 'c92d3baa79f78d32', '9f3a66dc64d7fdc9', 'c5202610b421304f', 'b7aab68953b46e64', '2aaf84176521c42f', '162bcb36d182892e', '4ca08ed9abd6d4e8', '5959438b5e5323c8', 'ee6dbc2c59399aed', 'c6d8e17b7d2a1ecb', '49b06839566d207f', '60e0c22b7dbb3152', 'c780fe2e3caf6310', 'c54921b03f732500', '6ad060d7a8b3220f']; context = [[8, 35], [16, 45], [64, 91], [43, 69], [15, 42], [49, 75], [29, 55], [54, 82], [88, 115], [17, 44], [174, 203], [3, 30], [14, 43], [65, 92], [129, 155], [13, 42]]; loss = 0.019435 low_pass_filter = 1.111
+Epoch 0: | | 2769/? [29:04<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2770; scene = ['022d410bd702ba81', '4ea41eaf69afec04', '92660c8d92d3bf06', '6a27f031bc3f1193', '6530f4e60599a4f0', '9c6ae5f9ffede923', '322eaa39daf81f93', 'f9769cbf746e54d5', '5bdceb769e5b3926', '90ae09316f304318', '74c29d0b7eb8728b', '37d7e8a9f23b2418', '3803b2c8fd539a88', 'cba6272095141e36', '4007505c2d6ee7ee', '9bbd1ab3491972e3']; context = [[0, 26], [9, 37], [33, 59], [7, 35], [96, 124], [83, 110], [4, 32], [77, 105], [13, 40], [16, 44], [6, 32], [107, 136], [53, 79], [33, 60], [14, 41], [52, 78]]; loss = 0.012462 low_pass_filter = 1.111
+Epoch 0: | | 2779/? [29:11<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2780; scene = ['6dce42c0376ed5bd', 'a392b45c2f7dbe40', 'ed2d12be16750310', '8ccd419c07a54f45', 'a18d3ccd10fbff62', '1ecdbf071c9efedf', '0aa65a45e54c8ff1', '70a7c73ee0ff15cf', '87c8a0082ed8ff94', '644edb7b339e7204', 'a03aac3f83c63352', 'f0542cd2d21f3359', 'a11168f2dbc672f5', '412f8a80f8206ea5', '246e844f2b0c296f', '2ea9a7e763491324']; context = [[42, 70], [29, 55], [8, 36], [9, 36], [80, 106], [65, 94], [47, 74], [109, 137], [110, 136], [4, 32], [25, 51], [111, 139], [44, 70], [4, 32], [29, 56], [27, 53]]; loss = 0.014621 low_pass_filter = 1.111
+Epoch 0: | | 2789/? [29:17<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2790; scene = ['cd9090984c241687', '98e9a5ae1fc337a3', '4618dce02a9d0713', '0d13f4d2a07b20d7', '0cde1dae939d4611', '08bea3131a278709', '4d9cf2781dda4a42', '24c59c5a704aa7b6', '45b743f9172c9d72', '83b6c9f023f5e600', '8f75ef614e485fb3', '820548d9fd8c6d68', 'bced85140b42b6fb', 'e2782c697c307b5c', 'c61da3d71ad8e0f9', 'bae10dfeb1e50d99']; context = [[95, 123], [22, 49], [22, 49], [45, 73], [40, 66], [0, 28], [39, 67], [27, 55], [89, 116], [79, 105], [9, 35], [18, 46], [94, 121], [31, 59], [30, 59], [12, 40]]; loss = 0.011487 low_pass_filter = 1.111
+Epoch 0: | | 2799/? [29:23<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2800; scene = ['38a818f1e211f86d', '7bdbd980d63d20cf', '6d4b0a0b9d2edc40', 'c9da02eed003e463', '0781d28ffb7b92ca', 'bb26fb8a0d9e9cee', '07708a3ed68a094a', '911098f20e602003', 'bab5c4c3deefbe11', 'b522bb9dc4bb2d45', '081accf980a4d097', 'a3dc53d7c2c5c450', '64cdab2d68387847', 'de111f91de9fe294', '98585b958fdbf74a', '034e89ee1adfd2bf']; context = [[103, 132], [8, 36], [177, 203], [0, 27], [98, 125], [36, 65], [164, 193], [49, 75], [102, 128], [61, 88], [17, 45], [95, 122], [12, 38], [34, 61], [22, 50], [27, 56]]; loss = 0.014523 low_pass_filter = 1.111
+Epoch 0: | | 2809/? [29:29<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2810; scene = ['4f40c57cfb094233', '0ae59238a62ddee3', '53c27ddd5ade14e1', '4618698bb2ab83d8', 'cb4e1239c00db508', 'c3d7c6b0a2f4961d', '28b23bd8cc4b5cc9', '502b31ec4023c337', '3163e39561e208a8', '7c66260a2a16b5e0', '5f6129348cc047df', '24a3779576222a94', 'b3698fba681b1429', '8e12adaf19e58a53', '436e6d7fb59aa0f3', '0e53f99fe63ee8f2']; context = [[44, 72], [50, 77], [31, 60], [121, 147], [7, 34], [91, 120], [39, 67], [92, 121], [12, 41], [9, 38], [20, 46], [9, 37], [56, 82], [6, 34], [228, 256], [79, 108]]; loss = 0.013685 low_pass_filter = 1.111
+Epoch 0: | | 2819/? [29:35<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2820; scene = ['09854e27eba8832e', '833036a1cf009daf', '5b195bc1030ac237', 'ecf1815bd13d3bd0', 'bb3914c6e9a2cca3', '99577030a38ef264', 'b118e65ba0895ec6', '9eeb527fbe6dc6e0', 'f7ddde410c09af50', 'bc658fe0b4f75140', '009ded7e45b6d15f', 'c3af30eccbfd3e19', '041925e6e243e1d2', 'b6a682bb8da600af', 'f52a3a32719dea03', 'c518fb3550416ddb']; context = [[18, 44], [9, 37], [29, 57], [3, 31], [38, 67], [34, 60], [52, 78], [57, 84], [18, 47], [24, 53], [32, 60], [46, 73], [55, 84], [9, 37], [105, 133], [37, 64]]; loss = 0.012843 low_pass_filter = 1.111
+Epoch 0: | | 2829/? [29:41<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2830; scene = ['11d03c85eb29a783', '031747e0c810d3a9', '22a76d98bd2d748e', '1aa7e75df75e56df', 'db09edb16cf63afb', '652f860523c0d63b', '794b1f61bb53511e', '1f264383e514644a', '6abfb2e52aea1a65', 'd848b9acbb7e79f0', 'a6792878dad60243', 'd19bc02c7a2c4a05', '72b4959b43d63649', '684b3fe54099d16c', 'b1e83960965e92a9', 'ac5122b9a344d3be']; context = [[53, 79], [26, 52], [195, 222], [3, 31], [0, 27], [117, 143], [24, 52], [53, 81], [40, 66], [24, 52], [8, 35], [62, 88], [45, 74], [75, 102], [8, 37], [1, 27]]; loss = 0.018459 low_pass_filter = 1.111
+Epoch 0: | | 2839/? [29:48<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2840; scene = ['0e04ac8477cdc1ba', 'e317628493b63975', '7f373c1d63fc0e8e', 'bd0014e1f2db0016', 'c4b807c5b04029a9', '3d4fbb163ed0c038', '77bb1e0d667eb2c5', '498070d8ece368c7', 'ce4777cadfe8febc', '915ccf1d0279d962', '7f81996fad0f7caf', 'ced85ab956a4190f', '721db478d9515f86', 'b35e13c7d602603d', '02d8bb7d9a697e4b', 'efd0fc40e46dcabd']; context = [[7, 36], [11, 37], [100, 129], [34, 63], [6, 32], [217, 245], [143, 169], [16, 42], [17, 43], [32, 59], [4, 31], [5, 32], [121, 148], [43, 69], [215, 242], [82, 109]]; loss = 0.015301 low_pass_filter = 1.111
+Epoch 0: | | 2849/? [29:54<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2850; scene = ['48a9f2119ae79662', '3820e4354377e7da', '511207c07d553599', '7f5aa79ec2e823ad', 'cc306ca65c5dbc24', 'c2e4a08593109a16', 'd3917d0a1eda2a1f', '78df146e207949e3', 'f29b03bb0ede6c6b', 'ccf0fb152a3957ec', 'c4b2915ba803f481', '817eacbf366cb02c', '368f5c20ad10eaa7', '63a09885afeaa9ef', 'f02861ed6d0329b5', 'f020c35a66a04291']; context = [[69, 95], [1, 30], [3, 32], [21, 49], [235, 263], [28, 54], [59, 85], [102, 128], [88, 116], [17, 46], [55, 83], [37, 65], [57, 83], [43, 69], [82, 111], [3, 32]]; loss = 0.013892 low_pass_filter = 1.111
+Epoch 0: | | 2859/? [30:00<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2860; scene = ['df8aed95e105f065', '350ee2da20bba2be', 'd9314cc976dfa779', '1b4c3cfe64fe6067', '438b09876af8f04e', 'f9b3fd7bc45c853a', '01df58c292aa0310', '8ecf1e4e58a9553d', 'b43104adbdf3b1a0', '9df293d4cff7a027', 'a1a44fdd4720ce4c', '7341e63a7c77334f', '46a16b80d7b725c1', '6223a7a4c451dfac', 'ce39744fa5a6e73d', '5462a7e6d388aaee']; context = [[217, 243], [39, 68], [28, 56], [60, 88], [40, 67], [158, 187], [9, 38], [86, 115], [26, 55], [74, 101], [34, 61], [62, 89], [29, 55], [121, 148], [5, 33], [13, 40]]; loss = 0.015970 low_pass_filter = 1.111
+Epoch 0: | | 2869/? [30:06<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2870; scene = ['17c078de5ed38bd2', '337bac6be4ca89e1', '5c9bd02482ad2baf', '6c2280965b2c589b', '844291f011c40bc4', 'be0c13a1287e01dc', 'b235d80fb447dcad', '6c8269719e65ab3f', '5fb199b37014d66c', '9307f8bff82ac421', '2c1c34804bd85520', '746c9c4988c58d15', 'ac0adf351c198028', 'a3620e34e8895263', '84826a7eacde5724', 'bceb41276703211e']; context = [[50, 79], [40, 66], [73, 99], [22, 50], [7, 33], [58, 85], [83, 112], [21, 48], [29, 57], [55, 82], [1, 28], [3, 31], [76, 103], [12, 40], [35, 64], [9, 38]]; loss = 0.016255 low_pass_filter = 1.111
+Epoch 0: | | 2879/? [30:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2880; scene = ['10a1f8abfc11b748', '28e3201ddd4e6d57', '9b8b317f206cd862', 'e668a843e852b450', '570eae579ca05517', 'cdcdc97ba9dfaddf', '1f6b4a61899ab87f', '5b43db5bf21abbb8', '85719fc0e88eacae', '84f9b1294314f17a', 'f7162df69d7f02d6', '5299e1d8459614a0', '83c4c9fb7e651990', 'daabae5358f7603f', '73677808d2e27970', '1effe9e0b094ca8a']; context = [[17, 45], [41, 68], [50, 78], [7, 36], [37, 64], [56, 83], [25, 54], [34, 63], [126, 152], [1, 29], [118, 146], [41, 67], [71, 100], [98, 124], [82, 110], [25, 51]]; loss = 0.015686 low_pass_filter = 1.111
+Epoch 0: | | 2889/? [30:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2890; scene = ['4ed5567da37496b3', '4f56ecc3ff0e7b5a', '5d2c51639483b85d', '6c0e4126b5d4e92f', 'aef946964881b3aa', '568574ce26f78d2d', '5c7e6ae0cfc43f73', '8a5ef9fcbbbd0715', '8ecfc78b396022f8', '75cb938ef32ffdbf', '0d401f1b0cb3d6d0', 'b2d4b9ea541e9f37', 'd5dba29fb7878ed2', '1cec8c9926ac8fd1', '3a2d10fe0a31c3ef', 'fea578cc66e55e82']; context = [[10, 39], [86, 115], [55, 81], [49, 77], [5, 32], [1, 30], [14, 40], [111, 140], [174, 203], [39, 65], [63, 89], [114, 142], [105, 133], [11, 38], [158, 187], [48, 77]]; loss = 0.015412 low_pass_filter = 1.111
+Epoch 0: | | 2899/? [30:25<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2900; scene = ['aa2883136b009b8f', 'ab717e6921f1e855', '06f32680a0705bdd', 'cb1ecfd7427463e3', '50be6bda22ad172e', '1f28c177c829855b', 'b1b3c256fa38e565', '24a5b18908fc004d', 'f1a9c18459064ac1', 'd326909d557faf66', '263d7f22d36210d7', '8dd3b522ff68a4aa', '3c8c39f9ac4df6df', '55470b75c7afb481', '2ec1f000c3fdc4dc', '927a91d4f0d12802']; context = [[26, 53], [18, 47], [25, 53], [30, 59], [13, 40], [17, 44], [0, 29], [165, 191], [9, 37], [19, 48], [0, 26], [58, 87], [47, 75], [222, 249], [6, 33], [90, 118]]; loss = 0.012557 low_pass_filter = 1.111
+Epoch 0: | | 2909/? [30:31<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2910; scene = ['d3571aa640d9ebe8', 'c0de6e9564792ffa', '5047b5dc3a98e12f', '3830621fd20294c5', '2c0f4dc479fd405f', '106afcce4381c331', 'a399b803b264fc36', 'e4da6ce76e7c98e0', 'eebfd07c5aeb7eb2', 'f22ef1d4163a72b2', 'f557a8939e2e48c8', '425386b8c72dc44f', 'b878dfc4a56ec619', '2ea89db4267fbfe3', '9aa2344ab1fce074', '39fb4d9b5a1a1a52']; context = [[46, 72], [64, 93], [126, 154], [11, 37], [1, 30], [9, 35], [19, 47], [80, 106], [40, 68], [41, 67], [44, 73], [164, 193], [11, 39], [71, 97], [27, 56], [117, 145]]; loss = 0.014139 low_pass_filter = 1.111
+Epoch 0: | | 2919/? [30:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2920; scene = ['3b3cf18766226dba', '53a78f0397e97484', 'af8f48c2701a86d7', 'a6716ac7a4815ded', '71712c08e8ef2a32', 'a1a1232aaf87f494', '6c57545257660e6c', '1b35df36589d1961', 'db4aa5fda0f93baa', 'c9549c302dd8199b', '8c8616ef6d449859', 'b6a1c51335c46f66', 'e2a52c2d94f21d4d', '69ade1c53ca7e211', '4a1a85a8dbc07ae4', 'fccf8038ea8d25a0']; context = [[47, 74], [74, 100], [63, 91], [14, 42], [30, 58], [89, 118], [51, 79], [94, 121], [133, 161], [43, 73], [6, 33], [71, 100], [24, 52], [58, 87], [43, 70], [43, 72]]; loss = 0.012290 low_pass_filter = 1.111
+Epoch 0: | | 2929/? [30:44<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2930; scene = ['a8c67c7050608d71', 'f7b4d47fa023d83c', '44b54a674418eae1', '59290e5eafe2dacc', '1ff6a0130c1bdbc9', '2876ff2b0e9b35c8', 'c1c51fb2e8fa3f3d', 'b0d93ae7dff54459', '0eea77c7a7ea776b', 'a8708276de880b2c', '63e436b601897a18', '76d53cf41f53eb37', 'ff1dca7b309e73cf', '052b90459fc4dc8b', 'c26b1dbc51bb76a2', '69a5d941518eba83']; context = [[96, 125], [0, 30], [36, 66], [81, 107], [44, 70], [14, 43], [25, 52], [97, 126], [9, 37], [18, 48], [116, 142], [79, 106], [2, 32], [2, 32], [26, 54], [4, 32]]; loss = 0.012394 low_pass_filter = 1.111
+Epoch 0: | | 2939/? [30:50<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2940; scene = ['ffc4643950346872', 'c28f10a578096fe7', '1f2c53501ca20a48', 'bc8d6f045241fec7', '6d638e347e889c63', '008d5bc870d12c22', '10810c921b4b3f84', '37ff350eba2c5f64', 'c86ccd2448e8735d', 'cb6f68fd2e9755aa', '66a09cc7f5e4dbc8', '0476466b02a84b3a', 'd705175cee467a2f', '78eaba283994c8c6', '645bdd61301d7e81', '273d38e69ae4e7ab']; context = [[5, 31], [45, 71], [53, 82], [191, 220], [37, 63], [212, 238], [64, 91], [151, 180], [23, 53], [37, 63], [30, 59], [116, 143], [73, 99], [55, 84], [34, 62], [59, 86]]; loss = 0.014397 low_pass_filter = 1.111
+Epoch 0: | | 2949/? [30:56<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2950; scene = ['9585609b1fe86052', 'ce265bd6aca906a0', 'feb014e43dd4f086', '5cd649d23647e9a8', 'a851d4797973dd8b', '212d150054874c3e', 'b4c05fbe77402eb7', 'd93dbd6c7758a61c', '2b02c5424369025d', '7686c96acba0fd1d', '86f9daf0ed9c7901', 'b6c09e68122ca0ed', 'e051ee18fd66cd1b', '6bb6aeb2cdbc2280', '4353a602b8632521', '7c9b792d56888acd']; context = [[7, 35], [31, 57], [28, 55], [85, 114], [7, 34], [139, 166], [1, 30], [40, 70], [33, 62], [8, 38], [76, 102], [52, 82], [10, 39], [132, 160], [32, 61], [61, 91]]; loss = 0.016854 low_pass_filter = 1.111
+Epoch 0: | | 2959/? [31:02<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2960; scene = ['80f041deab809da5', '3ac7d938a795a0f3', 'e866dd5ed712269e', 'a80189fe08a0edd6', '7c57600e31e85604', '0a1e750a4a0d5a2e', '9268d50de3052c96', 'fafd9e0fbb9517b8', 'b7f5fcfd690b5c55', '2d41459c943e1f71', '4d9d95d4a2eda32c', '9f289d737530df94', 'eca1e97782041b82', 'c9e8eb444e59ea70', 'be60e4b9932e0088', '4f3b49c328faf997']; context = [[13, 43], [11, 37], [3, 32], [47, 76], [77, 104], [98, 124], [4, 34], [151, 179], [12, 41], [9, 35], [91, 121], [3, 31], [2, 29], [99, 126], [5, 35], [75, 101]]; loss = 0.013074 low_pass_filter = 1.111
+Epoch 0: | | 2969/? [31:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2970; scene = ['492d58c60ff59717', '5a02b12decdc528a', '46cbc096a3273b53', 'a5dfff7e0d310d45', '5dac5439a266d383', '3d5a986156f92892', 'f94badaa12bf80cb', '58694b5c16496ad4', 'cdcf8ecbde39db10', 'a120150644ae529a', 'b9ac53cf1cd3f4e3', '895ca8e07071abd4', 'b82808040252571d', 'e967a875e94bc523', '66b0bedbd87eb6d4', '4348fa85c0757b62']; context = [[23, 49], [46, 72], [212, 240], [89, 117], [188, 218], [62, 91], [32, 58], [5, 32], [61, 90], [62, 90], [15, 45], [26, 52], [191, 220], [15, 45], [141, 169], [25, 53]]; loss = 0.014198 low_pass_filter = 1.111
+Epoch 0: | | 2979/? [31:14<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2980; scene = ['670b9bea39ffbfe5', '8dc9967df5714acd', '2c6b93544964bc01', '3cda064458c78e23', 'a964dd03dd3194a4', 'c78bdf20071dbd48', '9d1985c29dad84fe', '2db98c7e8a6bb797', '0be2cc56c1bce065', 'dc6e87688f3e9bb3', '2c1e3f7af6fec6f9', '281661f8dbfedd6d', '3695aae861f18375', 'ab3ac1ab685dd2fb', 'c4b5cf9bba4c5620', 'a094ba1980c7d5dc']; context = [[135, 163], [100, 130], [23, 53], [14, 41], [108, 137], [194, 223], [66, 93], [25, 55], [84, 110], [4, 32], [33, 62], [68, 97], [117, 146], [37, 63], [103, 131], [9, 39]]; loss = 0.012945 low_pass_filter = 1.111
+Epoch 0: | | 2989/? [31:21<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 2990; scene = ['60043c9f1d07b03f', '01e3b8d11d64a76c', '48cebacf81b6da9e', 'dd6a99f9e257bba4', 'ff84efd73a79db20', 'd5c7ec433b929542', '0187f9f8c80ea4a2', '7dd0a2cb537a6cd1', 'c06ef6a33440080e', 'acd56b77308abd23', '3455d3305ced9b91', '728376a4318ffe7d', 'e20c5700872238a2', '2075c775ac7a6381', '293f5ffbb5082083', '3553dbf249a73a6a']; context = [[166, 194], [60, 89], [3, 29], [19, 45], [182, 208], [89, 117], [30, 59], [10, 39], [142, 169], [73, 103], [2, 29], [64, 92], [16, 45], [34, 60], [2, 28], [44, 71]]; loss = 0.013301 low_pass_filter = 1.111
+Epoch 0: | | 2999/? [31:27<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3000; scene = ['bc9eb448f8a0f11d', '50336ac76985c064', 'acf12b5145bffd0b', '2dd9d42b3b490c0f', 'a76d33865b1cafa0', 'b7f363477937adab', 'e6fb9efae0406aca', 'ea79dc836a78061d', 'c29208a5f74d3649', '5d707a2d57727069', '525bdd8b89129054', '09ab73395b87ec6b', '35ce3025267c7ba7', 'e852d57c6de796cc', 'd585e74d7e2b840f', '83f01c4310f19278']; context = [[17, 46], [1, 31], [104, 132], [7, 35], [42, 70], [38, 68], [35, 64], [66, 96], [137, 166], [60, 90], [59, 89], [64, 94], [196, 222], [164, 194], [35, 63], [18, 45]]; loss = 0.015667 low_pass_filter = 1.111
+Epoch 0: | | 3000/? [31:27<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistivalidation step 3000; scene = ['91fda69e1cda4602']; context = [[34, 60]]
+Epoch 0: | | 3009/? [31:34<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3010; scene = ['92bd941ab6967c92', '885ae680bb5ea997', 'f353b0e2364b9578', '4bac79c3a17ed149', '06a4df55f3b8534b', '55f90e4726987c62', '0e5b88b902eaef5b', '9a3d9c594453fcae', '6ab2a4be471e3a98', 'f0e29b62f607dc08', 'c55ce55dae3a9dd7', 'dca2d5e4b6c4ae7f', '5b6570bc4855e52b', '16f6f5e30b18575e', '465fa8314b741006', 'd61c0c4ab6c707b1']; context = [[89, 117], [13, 41], [6, 33], [235, 261], [22, 48], [37, 63], [24, 54], [23, 53], [82, 111], [110, 139], [41, 67], [5, 33], [93, 122], [35, 61], [4, 30], [11, 38]]; loss = 0.016271 low_pass_filter = 0.370
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 3019/? [31:40<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3020; scene = ['f5ce65e9a52c64db', 'a460ab40c5e3b5d6', 'ece3fdd38dfcfe42', 'c31738282f5e0f7c', 'cae6d0c80e820ea6', 'aa2952a523546771', 'dedea0cd114e8569', '27acee38db3d2440', '2fb81102a2e8cb7f', '24e1642761ed2ebb', '61e85330db0ed8a9', '89bd3e44cbcc4a0f', '778cbba4d1731914', '678d8464781a3de2', '8e78ce55e3180547', '7d9622491e2e478d']; context = [[35, 64], [21, 47], [0, 30], [7, 34], [73, 102], [43, 73], [42, 68], [20, 49], [45, 75], [25, 53], [22, 50], [205, 232], [32, 61], [42, 68], [20, 46], [15, 43]]; loss = 0.013493 low_pass_filter = 0.370
+Epoch 0: | | 3029/? [31:47<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3030; scene = ['e5a301429b38dc20', 'fd4d668123665d1f', '95b1deb2d645f275', '6666ae9375b1656e', '28cab3659a1510a8', '3323fc8b3b6bccbc', '3c418948bc7076cb', '307049b9515d7ee6', '46d11fdef3f136d3', '1456ee4280583260', '62150f8a9d2176f9', 'e89a821f4ae317da', 'cb8269f4a827fd42', '7fc02c1b66b7464b', 'ac42ff7b8e4119c3', 'd0eb13d884ea1dc9']; context = [[34, 61], [216, 245], [43, 72], [54, 84], [31, 57], [38, 66], [77, 103], [177, 204], [31, 61], [0, 30], [127, 155], [1, 27], [99, 126], [18, 46], [51, 77], [16, 42]]; loss = 0.015635 low_pass_filter = 0.370
+Epoch 0: | | 3039/? [31:53<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3040; scene = ['a674553868077393', '9de970f9a14770a9', '9e378758ef2f3f57', 'bb48ee6a54aba637', '629a3854ae5c697e', 'fc2c9e74972a3112', 'd4ce3ba462949704', 'd338fa414b68aae0', '22f2ac6719ab125a', 'e3b19a6c20b4a482', '9faadb16d7bfd2e5', 'b01124860ef4a2d0', 'abd3cabe7a8ce1b3', '978d853d57c2f68a', '91374736b0e8c0c4', '2a0f5dba69d0f0e2']; context = [[158, 186], [33, 61], [39, 67], [7, 36], [68, 98], [91, 119], [127, 154], [68, 97], [2, 29], [23, 49], [9, 36], [4, 30], [60, 90], [0, 27], [95, 122], [1, 29]]; loss = 0.016018 low_pass_filter = 0.370
+Epoch 0: | | 3049/? [32:00<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3050; scene = ['c087bcbc6887fb94', 'a0593f34e6705c82', '4a6fc7a3eda909ae', '9d219f3e05b22cb2', '7bab8b0d42cf453c', 'ac379082a6cc5a82', '3a7e2c6d479b6da7', '7ce8f268af6b46fe', '23ea245052ef54f3', '6de4cba695a484fa', '6664d1ab6ca3f57e', 'ccc1e64084cd2ede', 'a1edb91a8328fa3e', 'c23bf3c2ede0c1bf', 'd7fcf04f38bdc1f0', '7e1a90cec7a329d5']; context = [[8, 34], [128, 154], [55, 82], [158, 186], [18, 45], [24, 54], [80, 108], [78, 108], [41, 70], [248, 276], [36, 64], [204, 232], [91, 119], [4, 34], [35, 62], [128, 155]]; loss = 0.013326 low_pass_filter = 0.370
+Epoch 0: | | 3059/? [32:06<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3060; scene = ['369361af7490b680', 'adbe99ce86fde630', '1725444cbcf517ce', 'b06e61a7be8c80e4', '5dc2cecdba20b532', '581f0c393cc14adf', '9781f678199c8c4a', 'b1678aa5fe9e89ca', '9a308213ce2ba663', 'f0672b503ee9dd83', 'e43a51c4bbdbca0a', '1537d16fe982abc5', 'eaf70d3fdf4a4cb6', 'd3451a948ab6ae52', 'aa49ea66403b050f', '59f14fd999b7a247']; context = [[2, 32], [25, 54], [2, 29], [27, 55], [246, 275], [20, 50], [5, 31], [94, 121], [60, 90], [2, 28], [83, 112], [0, 29], [90, 118], [14, 43], [49, 79], [1, 29]]; loss = 0.014136 low_pass_filter = 0.370
+Epoch 0: | | 3069/? [32:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3070; scene = ['c8b3f810b11d682c', '3b0eac399dbfd16c', 'b9fa9a93b6c71d1a', '3d9226a299c212c5', 'dab103950a98ced4', '471d05cb8b4bdbdf', '9c11364f882e0711', 'e594fd14a8185723', 'a667f1e8d9c8052c', '83f6690418bf02c6', 'b51950afe84dd6e3', 'c6395f5729950511', 'd2e9788589f8e68c', '960b87d0c2ce86d2', '513b92157acf770b', '092bfc70b4ba9fd0']; context = [[222, 251], [43, 69], [75, 101], [0, 29], [52, 81], [62, 92], [18, 45], [147, 173], [85, 115], [0, 29], [90, 118], [32, 58], [91, 121], [56, 86], [35, 65], [224, 253]]; loss = 0.013874 low_pass_filter = 0.370
+Epoch 0: | | 3079/? [32:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3080; scene = ['25f120b63c777a3d', 'eda827d23766de0e', '154ca1b40882c2ba', '985e2ea54fcdc17f', 'cb17460c2a53d3d3', 'f6eb748a01065695', '73d0cc9f88dd47a4', '313139806de65869', 'dd249f6269133fd4', '51e7e2abc42fff2f', 'acc04053479de7b6', 'e6910569bc347ba2', 'bd781c735a39b252', 'e9e020c514404b0c', '86cfe990f194bb9f', '926a4f3af9386f6a']; context = [[194, 220], [13, 39], [38, 66], [11, 38], [146, 176], [76, 106], [63, 91], [24, 50], [81, 107], [52, 78], [37, 65], [31, 61], [0, 28], [13, 42], [35, 65], [45, 74]]; loss = 0.013382 low_pass_filter = 0.370
+Epoch 0: | | 3089/? [32:24<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3090; scene = ['7a7a9fe746307fef', 'c2a6826b4e13e5a7', '53c54932758974ee', '4fed0ca3762d9020', 'c184945b52f9fdf3', '8b95bc9e3b662617', 'a39e1687e44f7eb3', 'de05d4ed34195978', '5888770aaa4a968b', '80e41e132e60ee48', '5b357eed900357ef', '5751251801d5eb33', 'e5adde4cd7cfdeb0', '211b3170fa4a2ead', 'b921fa6018447c1e', 'b19f8544604ec196']; context = [[72, 100], [36, 62], [116, 144], [72, 102], [80, 106], [136, 165], [119, 149], [111, 137], [61, 87], [0, 30], [18, 45], [38, 64], [57, 85], [19, 45], [6, 34], [26, 54]]; loss = 0.015638 low_pass_filter = 0.370
+Epoch 0: | | 3099/? [32:30<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3100; scene = ['b4049b5f74fe2c1a', 'd8f23d503b820e53', '57112bf6cf251fe1', '9fb3173ad654a32f', '484b6df8b586dd1a', 'faf8b5d86e8b83de', '6f8b2d73ed0da2f1', 'b3ccb1e1003fcb6d', '9a8fd1d3cf706b89', '7c6a8caf90ddc0fc', '02a840608387c7e1', 'a421fa44be30ccf8', '7c3c345404cd29ee', '3370b1a40953d7ca', '916ba32c24c8014f', '6611ea98f1c6e06b']; context = [[16, 42], [46, 73], [17, 45], [30, 58], [121, 151], [29, 57], [90, 117], [19, 46], [97, 124], [15, 42], [2, 28], [5, 31], [5, 34], [79, 107], [3, 33], [120, 147]]; loss = 0.015413 low_pass_filter = 0.370
+Epoch 0: | | 3109/? [32:36<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3110; scene = ['4bf5f9fe684d0e6f', '46e92522807e1310', '9b226bab17ff4cda', 'd331b5cc6afb6831', '85cd7765de239d19', 'f1a9f95ae3c51524', 'c8a2d31ec73e3f80', '7efd5aa344bcb8d9', '88f2eab323acbc74', '0a7cdd7ee8c0d8ef', 'ac6468e16d1eee95', '43b164b5a6011d2f', 'c99fc037378ebf3f', 'f821539af200d4eb', '1cd843069eaaefa9', 'd755b782b6779009']; context = [[119, 149], [127, 153], [5, 32], [47, 74], [21, 47], [86, 114], [24, 51], [4, 32], [25, 54], [17, 46], [33, 61], [30, 58], [21, 50], [10, 38], [4, 30], [27, 54]]; loss = 0.014126 low_pass_filter = 0.370
+Epoch 0: | | 3119/? [32:43<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3120; scene = ['97b534cebf6de9ec', '6b4aa6e3b092e947', '804c26118696da0b', '546bf84eac7404e8', '6f29d2f4950be336', '11730d25b6f6361b', 'f3dc412274c6c8e0', 'f242147765d4e5e3', 'd92c8e19a59a9a49', '262e288353a8f120', '82e3d222b68034cb', 'ea71db72f882f844', 'cc8083a122ecfcd8', '581c854141592535', '591a55875170ddf4', '9ff86abeed74f7bf']; context = [[42, 72], [51, 80], [11, 39], [9, 36], [9, 38], [27, 55], [91, 119], [0, 28], [20, 46], [213, 239], [127, 156], [9, 36], [71, 100], [33, 61], [46, 74], [90, 119]]; loss = 0.015663 low_pass_filter = 0.370
+Epoch 0: | | 3129/? [32:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3130; scene = ['d5fdbc5fc707f587', '547aef61289e7ad7', '50f863411c708475', '9cf046728c3db4b0', 'a15a553c9850b44c', '06328d0d5cccc46b', '302211facdaf64c0', '89905d291f2f7596', 'e8ca4b0be06b0c74', '8fcae49975dab026', '75ac86500993ad2a', '03781fa53fd2620f', '8096cd3a05638ced', '5d072485524c1075', 'ae17e42ec25a5371', '519f45118757eaed']; context = [[4, 32], [8, 37], [17, 45], [20, 48], [6, 35], [32, 61], [8, 36], [13, 39], [142, 170], [25, 53], [131, 160], [114, 143], [183, 209], [30, 56], [2, 31], [99, 129]]; loss = 0.013614 low_pass_filter = 0.370
+Epoch 0: | | 3139/? [32:55<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3140; scene = ['ec22f0604d874d22', '8c9c9fd339183118', 'a8035e43949f8e73', '1fbd498843114f98', 'e106d864e50c158c', 'e2511c0663edb8da', '9c3a216fcac55bd9', 'bf22773c03a8d639', 'f2b7726c0dcfc9b9', '6ab424ec50814385', '647f47ee75e01097', '727a60e743d4b742', 'fc727fb767da97f8', '6c74218cfa8488af', '53007e71653c882e', '9f1176b8b75fa7c7']; context = [[81, 109], [24, 54], [83, 111], [81, 110], [109, 137], [169, 197], [6, 36], [78, 105], [78, 107], [28, 56], [73, 102], [7, 37], [52, 78], [40, 69], [19, 47], [44, 70]]; loss = 0.015845 low_pass_filter = 0.370
+Epoch 0: | | 3149/? [33:01<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3150; scene = ['32ae7fba9602f4ab', '52d22e08d1297ba6', '01c9d8d300256658', '35c5fc80e85db7cd', 'd41d914f1dfffb80', '99f1c2a83be00a5d', '47cd9a752d3fb63f', 'ef4d99ddc59d78ac', 'b3befd39ed25cec4', '03424d8cb042fbc6', '400caa0619a990a4', 'cfe86f4d4e636359', '0c0da13b7c96d15f', '99eeafcbc8fede20', 'ad10716e912419fb', '1d70b5a526ba3459']; context = [[102, 130], [0, 26], [53, 83], [78, 105], [14, 42], [13, 40], [24, 53], [1, 28], [66, 95], [206, 233], [111, 138], [99, 127], [45, 74], [16, 46], [60, 87], [114, 142]]; loss = 0.013717 low_pass_filter = 0.370
+Epoch 0: | | 3159/? [33:07<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3160; scene = ['5d353287276b3f72', '6c13cc66ae616e9b', '8ee6d91658f575f1', 'ab1a470fd0aa350a', '9388ca301f4e0bd1', '7de38ac4e903910f', '4c7c64719fa77977', '66680f2ffd969227', 'cd42477f8d3ee091', 'b3b8eba88ea7d064', '455ef17251608d98', 'a94cf3b3612d30ab', '2a3b8b8cc1fedcd3', 'b9baabda7e1103c9', '012019df6ff17e30', 'ceeb544dc7e54313']; context = [[51, 81], [1, 30], [78, 104], [137, 163], [10, 36], [65, 93], [63, 90], [34, 61], [217, 246], [15, 43], [2, 30], [8, 34], [120, 147], [42, 68], [25, 51], [196, 224]]; loss = 0.015683 low_pass_filter = 0.370
+Epoch 0: | | 3169/? [33:13<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3170; scene = ['834e18c30dbe2cc5', '0e0ca1c8d817169e', 'd88b4b2fe304e141', 'ef0615bf71e28966', 'ff66ce41eedc4d21', '38674e38103d5da6', '3cb73cf42139a578', 'df1d3fa0c3580009', 'bb14c9ef294f2eb7', 'c5013e15646dc1f6', 'f8002823df94e9f2', '1059df90c1493f93', '1bf2ad010fbce70c', '1bd19a79fe682e24', '6750ee6f269e3292', '7c09f098aa542eee']; context = [[32, 60], [203, 229], [64, 93], [109, 135], [38, 67], [36, 64], [46, 76], [16, 43], [7, 36], [20, 46], [111, 141], [57, 83], [43, 70], [35, 61], [24, 50], [53, 81]]; loss = 0.012345 low_pass_filter = 0.370
+Epoch 0: | | 3179/? [33:20<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3180; scene = ['27f2c5d07c2eb595', '5be06a710f3fe6f2', '9f06cf0ba2ddd1c1', 'b14f5a683aba2898', '7418314e76240536', '99953a73e02cf657', '79a0e8398b6a1cc1', 'dd811aac95fe2a28', '5e494fb5e1e7b29a', '210c21e8248a76f7', 'ba6bf49cf0b22c94', '28f763b7b53ee1b7', '80848467f9250e32', 'f79131c37898081d', '5dd74e1b033f8b76', 'd83d52c7f9fe7c3c']; context = [[43, 71], [12, 42], [33, 59], [0, 26], [205, 232], [123, 151], [190, 219], [19, 46], [28, 58], [42, 72], [30, 58], [21, 47], [34, 63], [18, 45], [46, 72], [43, 70]]; loss = 0.016534 low_pass_filter = 0.370
+Epoch 0: | | 3189/? [33:26<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3190; scene = ['2cf0df5ede50bd1d', '1f4ff72d26fbd071', 'bedb0dffc6d80b4e', 'f896f057f530ebce', '12d54b02fe9d16e1', '568246aa43b60985', '3ceae7bf233b07e1', '3484cd375bed111c', '2b44e0afdd749c4b', 'cbada5419127d257', '00066b3649cc07e5', '1f9140d0fa42c417', '376b41c875103f43', '0beb4ad764771753', 'f437e5cb02d62602', '58e6dbc7ad022040']; context = [[38, 67], [209, 235], [41, 67], [59, 85], [51, 80], [18, 47], [34, 61], [11, 40], [222, 252], [41, 70], [14, 40], [48, 74], [89, 117], [15, 44], [104, 132], [45, 74]]; loss = 0.013103 low_pass_filter = 0.370
+Epoch 0: | | 3199/? [33:33<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3200; scene = ['47fe424d80ea8a47', '8a4818ab2308dba5', '52cc0ae108971258', '1346c01a9e322da2', '76467df94b133797', '8acffd95fbf48c10', '5c1ce1faee51a8d9', 'be10e6849ca2240a', 'd4f58eddfca6260f', 'ce019e2e248ec5b3', 'a5b167a51f1d8397', '58ac0ca6ba85ada9', '40d0ba7e188c5151', 'bc30fab0317ce551', '45d1ce034325d8b5', '3c102d1802f820c3']; context = [[0, 27], [12, 40], [30, 57], [66, 94], [28, 54], [167, 193], [16, 44], [7, 34], [27, 53], [15, 41], [8, 37], [85, 114], [18, 45], [235, 264], [22, 51], [25, 55]]; loss = 0.011592 low_pass_filter = 0.370
+Epoch 0: | | 3209/? [33:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3210; scene = ['edbe9338dc896f16', '5ced4e666a0cc232', '52d169d1713624df', '3b8785bae23cbdb8', '47f11c69050ae32f', '77e8495e8c522bca', '9c8c945c02d7bfce', 'f555a2fef0cc9efe', 'c211eafa20d6c2fe', 'e9c5aa0b62318e18', 'a7f60ce61f15c284', '577bae9426456dc5', 'd6fe2b5e5c936c9f', '78f2bb288dfb07e5', '28880239a1b0a38a', '225a3dbc1dc4f7d4']; context = [[0, 30], [98, 124], [25, 53], [21, 49], [4, 33], [92, 122], [36, 65], [78, 107], [68, 94], [47, 74], [52, 81], [82, 111], [34, 64], [0, 26], [38, 66], [219, 248]]; loss = 0.015925 low_pass_filter = 0.370
+Epoch 0: | | 3219/? [33:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3220; scene = ['668193bde2b21db4', 'e79f7d5144234b88', '506c7067b8d54db9', 'd10e440ff0a99a23', '7e4fa483bbb17c5b', '7d1d3e8e7a8d1910', 'b6f25dc2b753e432', '9b64e7208792a0ca', '6b8f32f92dd0e644', '58ba2fd29b6a2a07', '404528c832c55d9b', '95553c6d4a90fc32', '4071f013d607956c', 'dba56f32f3c6cf9e', '8366faf56e918ebe', '1786a3ef14ae7d19']; context = [[3, 29], [67, 97], [13, 41], [51, 77], [14, 44], [21, 47], [24, 54], [1, 30], [207, 237], [83, 109], [116, 146], [123, 149], [30, 58], [25, 52], [61, 90], [117, 145]]; loss = 0.012906 low_pass_filter = 0.370
+Epoch 0: | | 3229/? [33:51<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3230; scene = ['ca89e36b41581eb8', '26e1218850abd298', '2e4d16122bd76f43', '4c8ecba879bb3eed', '8f5f4cd9432e1c0d', '6475541b77109059', '70aa4a265459a923', '1d67a9e0bedfa5af', '7ce73150f91ec12b', '08fd748d62f03890', '3a962e4e715e65de', '250be6ba44083611', 'fdfa2bdadfc99d14', 'cdfee7021f80e4cb', '9b69d11125244431', '04d30567c2a01265']; context = [[74, 104], [133, 159], [252, 278], [22, 52], [13, 42], [83, 110], [0, 26], [22, 50], [16, 44], [42, 68], [47, 77], [96, 122], [36, 65], [92, 121], [94, 123], [83, 113]]; loss = 0.014255 low_pass_filter = 0.370
+Epoch 0: | | 3239/? [33:57<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3240; scene = ['621c702a0b425aba', '3770f81aa03183d1', '7ba3a703b6f4cb51', '7ce10711c69048e7', 'fc816755540c7f6c', 'a62dd676f56b268b', 'b5e400c1a722c2ed', 'd49101fb6206fae8', '07debc5f949ea45e', '2a5f0ea759c4a950', 'a5accfa355df6730', 'dda98b150531b29e', '71a67ae4eccba383', '6a350ebce6b44cf8', 'c1e78cf2ffa86d43', 'a152a4b1f19f25ed']; context = [[73, 99], [28, 58], [13, 39], [128, 154], [1, 30], [9, 37], [81, 109], [140, 167], [6, 33], [55, 85], [34, 61], [128, 157], [59, 85], [49, 79], [2, 28], [28, 57]]; loss = 0.013480 low_pass_filter = 0.370
+Epoch 0: | | 3249/? [34:04<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3250; scene = ['fa5873dc99dfde1d', 'ffadc5456128c7f5', '0a178d6a8d53c07e', 'd3e9fb196b944937', '2bccd3e30dd64180', '2f2c4bd219a3c52e', '5900d44f690b1ac8', 'cd70e539713918da', 'e1488d5d2d21df06', '1b64868112b2ec1b', 'd1a3f6c04d4d3bed', 'feced30301b43ffd', '3237356236c9ee91', 'e870602940137494', 'f564c7789e774725', '9f73234c746c169a']; context = [[29, 57], [156, 186], [19, 49], [138, 164], [118, 145], [131, 158], [17, 43], [129, 156], [70, 97], [4, 32], [159, 185], [124, 154], [12, 38], [2, 28], [22, 51], [105, 131]]; loss = 0.014660 low_pass_filter = 0.370
+Epoch 0: | | 3259/? [34:10<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3260; scene = ['7db355afc543bbc7', '85d8b40beee1e26c', 'b7293cc97193f822', 'e754578fd748a51c', '441edf6229a74d10', '3afea6460cfb4f15', 'ac507b8e32118dd5', '1d5b1fd9addc5397', '77e1bb43859700e3', '7bb0a3af8524ed86', 'f75e151b66f83348', 'a90cd28742cee5e0', 'c0b9d76884655dcd', '9f3bcd7cc09b869d', '3cbe6fe0f3f71e16', '5f9e388efa364f74']; context = [[6, 34], [191, 218], [19, 48], [47, 77], [113, 139], [11, 41], [24, 51], [17, 47], [3, 32], [29, 58], [8, 34], [36, 63], [119, 145], [34, 62], [137, 165], [26, 55]]; loss = 0.015650 low_pass_filter = 0.370
+Epoch 0: | | 3269/? [34:16<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3270; scene = ['99bb3f4e5d3f27a6', '99ea4556246d1332', '49f6473054c58de3', '028310f8d3315419', '15e6c1b0d22b4805', 'c2070584d8687150', '5409ddd120a2e6a5', '8a2bc0855bc6250a', '5a06c5d103cab700', '917b86fdee94c41f', 'e69545e8027887b4', 'fdd9290d4b4b17b7', 'c0dda1a0f92e83d8', '194caeb5100ba382', '8225c5abe7275d40', 'c9625b7ca47d8394']; context = [[23, 50], [28, 58], [99, 126], [61, 88], [130, 156], [29, 57], [118, 145], [142, 171], [202, 231], [45, 75], [51, 80], [3, 30], [3, 30], [86, 116], [96, 125], [2, 31]]; loss = 0.013634 low_pass_filter = 0.370
+Epoch 0: | | 3279/? [34:22<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3280; scene = ['04db8c95f8e45874', '0f557d18cce96f92', '84391d27c02db624', 'fe53ac06ff2c6263', 'a1ed4a38869106d5', '83aa21503b41e8d3', '693ff6bdb74381f5', '4ceba2c95ef00194', '2f8d95d27a8a0d6f', 'b255c81f5632bb82', '523cf0953b144d3f', '1e4231e309776eed', '8c36ce2987991993', 'c9fba70bcf4d476a', '312e0e2bf77a6dcd', 'e95157a508d02a96']; context = [[143, 171], [71, 98], [76, 104], [10, 37], [100, 127], [10, 38], [97, 123], [185, 212], [8, 34], [0, 30], [62, 88], [8, 38], [40, 69], [76, 103], [99, 128], [121, 150]]; loss = 0.015276 low_pass_filter = 0.370
+Epoch 0: | | 3289/? [34:28<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3290; scene = ['3d86e0fe4ab16713', '0ca6052024f0dfa9', '9ac5d573346e3f0d', '0a7fae161d399478', '1113e6aede78e6e7', '7c267ee82628088a', '9af5a605a4972f99', '873c3591f993adff', '09dc6ab625b8300e', 'b5e621584bcb03f2', 'b94a189b3b04d1d9', '2d410cc9d20b6526', '306235ebe8d8ace2', '1a72762814407117', '5502f11f9b3165ae', 'ca75f516d7d527ea']; context = [[21, 50], [47, 75], [15, 43], [63, 92], [111, 141], [24, 50], [35, 63], [12, 41], [170, 200], [12, 40], [114, 144], [27, 54], [103, 129], [58, 85], [42, 72], [138, 166]]; loss = 0.014329 low_pass_filter = 0.370
+Epoch 0: | | 3299/? [34:34<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3300; scene = ['b33007b260b84069', 'b5d3d2acc2fc4c4f', '5fb113f2d6d31f0c', '4c2c34f9f1617bf5', 'e3d4c90b50120608', 'c1b89cd428346e03', '63c4da235fa12a37', '617ca1a7fe197ff6', 'f7748e4b308efdf6', '803603d87459c7ab', '98bce8609c8a60c3', '00b8297bf8e2a9ba', '6d76c97f029b15d2', '80398288f8500b3f', 'a7000ffb637433ee', '24caa3357e419156']; context = [[31, 59], [206, 232], [77, 104], [19, 49], [14, 40], [23, 51], [7, 33], [163, 190], [30, 58], [87, 114], [201, 229], [45, 71], [5, 34], [1, 28], [20, 48], [249, 275]]; loss = 0.013013 low_pass_filter = 0.370
+Epoch 0: | | 3309/? [34:41<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3310; scene = ['cf8a06270fe5ab88', 'f801016008ef971b', '35d279a61bffe5cf', 'f12074e261728ad2', '036cf5b39576c192', '46aa49dfa42459c9', 'c03c06f0d4264269', '04f87b5042cca6d3', '6225bee54ffadb9b', '65b786988a4bd972', 'd8ec4f596261d122', '4885e6060296deda', '481d9ccec9e340e7', 'ba339e4baf29643d', '0cf3b1b94a39f3d1', '496d83a1617cb739']; context = [[16, 46], [17, 45], [182, 211], [17, 47], [18, 47], [98, 126], [17, 45], [18, 47], [47, 73], [17, 45], [9, 39], [68, 97], [58, 85], [3, 29], [26, 53], [182, 211]]; loss = 0.011778 low_pass_filter = 0.370
+Epoch 0: | | 3319/? [34:47<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3320; scene = ['9dfb4143918aeff9', '7aa6654b0279e4fa', 'ea39ba8c0ab4573c', '0da284747a8e4755', 'b8b65a8148951827', '9543fcde99db112f', 'd0820968c10c3d0f', '571499e260e393fe', '7cd6ba2e6044e630', '68c8db171dab75ea', '417db333638be420', '8ec047d3e6c67047', 'ade406ba3ca1aa87', '765c6be0dc971f03', '371a69a4c08f16c9', 'a5dbef04d6fa313e']; context = [[56, 85], [21, 48], [159, 186], [219, 247], [212, 239], [45, 72], [85, 115], [77, 103], [15, 42], [95, 122], [39, 67], [13, 40], [37, 65], [33, 60], [61, 88], [60, 88]]; loss = 0.013860 low_pass_filter = 0.370
+Epoch 0: | | 3329/? [34:54<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3330; scene = ['14aef9a47d9d0adb', '7b28545e0b1de8d6', '00f31074484587e3', '18c9eb6a083050ab', 'ec1288c83e6931eb', '089438611d6bb03f', '05c9807d2a5594d5', '87a3943d9e2ac870', '9a023c2ffb17bd15', '1de4b62d250a54ff', 'b599da50d37c20a8', 'f0460e82a071eb81', 'f427626eef7d023e', 'c4c41548cbe80a57', 'e6d5c31e345f622d', 'c3e7bc3a80c717b2']; context = [[87, 117], [77, 104], [48, 78], [6, 33], [0, 27], [8, 36], [97, 124], [1, 28], [156, 185], [23, 51], [7, 36], [32, 58], [36, 62], [0, 26], [37, 63], [27, 56]]; loss = 0.015743 low_pass_filter = 0.370
+Epoch 0: | | 3339/? [35:00<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3340; scene = ['7fcb89af08ebffa4', 'aa11e8a13707a575', '9bf17d6915557577', '0dc4a3434a4d2771', '13a718aa677d2cc9', '4aa269e4aa1446c4', '781eee2c4e352391', '9d92037a929272e8', '8020e0b42282ce7a', '64b035cd851d2f46', '589b0dc1fea3fe62', '9ba7ffd700b4159b', '24887cb60eced656', '4ccc05527dea95a9', 'd4d64593d82fa175', 'b1e04eefed95a5d4']; context = [[36, 64], [35, 62], [183, 209], [224, 250], [6, 33], [2, 30], [86, 112], [15, 43], [16, 45], [86, 112], [3, 29], [11, 38], [21, 47], [211, 238], [116, 145], [0, 26]]; loss = 0.011107 low_pass_filter = 0.370
+Epoch 0: | | 3349/? [35:06<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3350; scene = ['541f5c774d29f7b2', 'd458455ddb3050e2', '4b2e1fbcbc0e5b90', '981db49851a56ffb', 'b229fe07b94f43ea', 'e98d3fe566281238', '3a38031693c62175', 'bc883f3f1d634f9d', '8d08b6d3bb4eb771', '760c4946c9cab2bb', 'a7ff67a70d06f9aa', '2f4344faadf0e69c', '27ca295046fe3369', 'd30c4b8ff4370b24', 'c7fa7cba2aa2da8e', 'ded38d3ae876e8dc']; context = [[2, 28], [0, 30], [25, 51], [6, 36], [45, 74], [4, 32], [62, 88], [35, 65], [84, 110], [22, 48], [22, 50], [15, 42], [223, 250], [47, 76], [47, 73], [0, 29]]; loss = 0.011885 low_pass_filter = 0.370
+Epoch 0: | | 3359/? [35:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3360; scene = ['4b80735474917754', '130496764c4b5eea', 'f7b14fc9fd5ce781', '095367e476cbfd89', '8a6c4732fb05ac7f', '46d5053d66888c5c', '7e709a5a25a8425c', '22d073042c55630a', '505b2853be7ed669', 'a6c1a7d49f216b2f', 'e9feab62e5a92e81', '3f33293df16bfac6', '8c6fb91929e99876', 'd80814e49be57d55', 'bf640a5c37820405', '64d29c9ab21dc5fe']; context = [[121, 149], [43, 72], [121, 150], [44, 72], [40, 70], [16, 42], [89, 118], [119, 148], [64, 91], [22, 52], [0, 28], [5, 35], [57, 83], [15, 43], [0, 26], [4, 33]]; loss = 0.014370 low_pass_filter = 0.370
+Epoch 0: | | 3369/? [35:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3370; scene = ['41dd55f0272aba33', 'bbd13ab6dbffa8e3', '962ca8cb6c781141', '5c04f350d4f1ce76', 'c7e626a8c3d071e2', 'a102f80bd807b881', '89537268739ba071', 'd98d96650581af8c', 'd3b5c826afd6e9c2', 'c03a11a9c493584b', 'b4e0f20e225aed68', '7c797c3d016e8704', 'f5a777195b9d4286', '5182a2a49dfc5bd4', '108ba78f9946d978', '2f8e9839ebd582cd']; context = [[35, 61], [62, 89], [22, 49], [152, 178], [55, 81], [31, 61], [105, 133], [1, 29], [20, 48], [125, 152], [136, 164], [0, 29], [90, 120], [0, 27], [21, 50], [25, 52]]; loss = 0.013028 low_pass_filter = 0.370
+Epoch 0: | | 3379/? [35:24<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3380; scene = ['5418ed938b5a82e9', '1c55c064cf34ad0c', 'f1ef33d26a5b1bf2', 'c5c352e72df9640b', 'a3a5884addc0279a', '809658c303767e17', 'a7cdd9d5e6221d68', '7068fd93a41de3a9', '5376cc836571e8d6', 'ef37be4851962545', '893cad7c624662b4', '29caaff58a530496', '08f02e7ec7dd69da', '37d8d38f0ac90651', 'aa809e649155f86f', '24a67da9e605b0ea']; context = [[57, 85], [7, 35], [50, 77], [71, 101], [31, 59], [74, 100], [11, 40], [2, 30], [52, 81], [164, 191], [8, 35], [3, 32], [18, 44], [3, 31], [171, 201], [72, 98]]; loss = 0.011631 low_pass_filter = 0.370
+Epoch 0: | | 3389/? [35:30<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3390; scene = ['28d98116f54e98a4', '6f816a7bd8b4d022', 'cefa3a98399cdf69', '2ef54984d277464f', 'b67ed5e234a5d647', '15802e77cdd75d15', '1362f40738546699', '69a54df0786fadd2', '8f36594b2a863083', '20af62cb11b5732b', '23e956eb11c43626', 'd105006c740c2cfa', '64b50539746fbb31', '53bca77d4e3f85d7', '99a90c9f04f840fc', 'a688345950054137']; context = [[237, 264], [9, 35], [65, 95], [8, 34], [27, 53], [21, 47], [12, 38], [10, 37], [28, 54], [63, 93], [27, 53], [39, 68], [30, 60], [37, 67], [170, 200], [72, 101]]; loss = 0.012694 low_pass_filter = 0.370
+Epoch 0: | | 3399/? [35:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3400; scene = ['652fa0eb49c99e69', '4abac98c209d4fb0', '6ef23c788aae182b', '3eaab1c23dc2de19', 'fe480b077979046e', '73a0e3c1d2b3480f', 'cf9158363c775c65', '1b1433ed317668f2', 'a9d316ab2668c532', 'fcb30c053ac7b011', 'e105aaec07c73634', 'b95b5f13e4749e79', 'c13d77898a35f1fc', 'd6399ff89e69aaf3', 'dc8fa0b29d85fd6a', 'beca98893cda11dc']; context = [[4, 33], [53, 82], [140, 170], [66, 92], [69, 95], [47, 77], [21, 47], [34, 60], [2, 31], [15, 44], [9, 36], [1, 30], [48, 74], [24, 54], [58, 85], [1, 28]]; loss = 0.013474 low_pass_filter = 0.370
+Epoch 0: | | 3409/? [35:43<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3410; scene = ['0542dc34079ab46b', '419ab2ae0cbcc49d', '83d4cfaeb5d64135', '16c972e36a13d80c', 'd7d21836042ec476', 'f96f815692530916', 'c327f856f0dd4c73', '7e84f5b757150df9', '859c9f522a98c5c3', '7759fb0b4c2719d5', '3ccefee0ded9c4c3', 'bcc710f216eaf9d9', '3851efdbf6c5998b', '859b57a795056901', '374040fd2830320b', 'c79efdec1cdd45cc']; context = [[6, 32], [9, 36], [31, 58], [54, 82], [6, 36], [148, 177], [2, 31], [39, 67], [18, 44], [3, 32], [32, 58], [15, 41], [135, 164], [16, 45], [10, 38], [7, 34]]; loss = 0.012488 low_pass_filter = 0.370
+Epoch 0: | | 3419/? [35:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3420; scene = ['3bf0650c715187ab', 'db04d7442f7d6ef8', '5894b8e2dcc63d0a', '2353677596fbfd46', '0bccdf22914e2e83', 'b34153cb2e3278af', '11269147bec6282b', '33a50acfb174d4ef', '985a81850d13edfd', 'eb25a67b8edf24dd', '99a34d6492f6ccfe', '3888df11c21d4db5', '42c32233f309708c', '3b5ecc7fa7f0597c', 'cd80c587743d9836', 'f15c0a5e2869e61a']; context = [[13, 40], [5, 35], [44, 73], [39, 69], [227, 257], [9, 39], [210, 237], [51, 79], [40, 66], [19, 49], [239, 267], [33, 59], [6, 33], [19, 48], [29, 57], [1, 29]]; loss = 0.015501 low_pass_filter = 0.370
+Epoch 0: | | 3429/? [35:55<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3430; scene = ['8998f29ac7883059', '9a21fdca2777d0cf', 'cfffd2a07a2b519a', '886fa556f9640a63', '891e6d7d39f1be97', 'd51ac3ee55720232', 'e4204c923eb68534', 'be2f4ab43640d9c4', '983ed363d48f5088', '18b5dfe0eaf3513b', '9dece217c9bfe277', '32ae7fba9602f4ab', '88e69571b9b3b6e0', '9ee7f1eabda78b00', 'c7ee83d8929847ee', 'b7894f3a4d70458c']; context = [[4, 33], [32, 60], [247, 276], [115, 145], [11, 41], [68, 95], [188, 216], [24, 54], [69, 99], [123, 153], [45, 73], [45, 74], [13, 42], [12, 40], [21, 50], [25, 52]]; loss = 0.015031 low_pass_filter = 0.370
+Epoch 0: | | 3439/? [36:01<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3440; scene = ['ee38665a9d1868e8', 'e9efe0fcc7a09cba', '91ced81093fc5294', '8ef87b7c44d0d34f', '7ccea93d5b39ccc5', 'd8f07d36280784a2', 'b2630399cbc3ba2f', '0095d64160cfe952', '9e785428a4e58006', 'f1597eeb7e5b4850', 'a86a7c2b4e5c98cc', 'f6144e0803cf99db', 'c7f3de0e032928af', 'ef5ecd3ecdba311d', 'd1a73a4f161ca352', '11b82d701e534e7d']; context = [[4, 33], [8, 38], [134, 162], [87, 113], [41, 67], [42, 72], [41, 70], [12, 39], [45, 74], [136, 166], [35, 63], [26, 52], [13, 40], [128, 158], [82, 110], [31, 59]]; loss = 0.015412 low_pass_filter = 0.370
+Epoch 0: | | 3449/? [36:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3450; scene = ['bc374c97598fb019', '92edfb92210ccd71', '607eede38bbe564b', '986540962d8f80a6', 'df02062f22ce3542', '0dcb0cad41a1f81b', 'cb5d90f77cc9f861', '4bede15a09bd44bb', 'adbc22a988340ea2', '5ad0327426e3718b', '0b4748c575a0b84e', '38c67fcd3b8e4f8a', 'f35c7fc7d001fc2d', 'e9e3e7a7b80eb5a4', 'ac2fc17a4de90b7b', '514db696ec759153']; context = [[3, 33], [91, 117], [40, 66], [28, 56], [234, 263], [30, 57], [0, 26], [7, 35], [51, 77], [17, 45], [17, 45], [32, 58], [15, 43], [122, 149], [4, 33], [7, 37]]; loss = 0.013252 low_pass_filter = 0.370
+Epoch 0: | | 3459/? [36:14<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3460; scene = ['15e466706ad7d02e', '0e57fd444b2125fc', '8fef8355485fa6c9', '2b367141f46053de', '832edf4426f6b8fb', '7ae6a1236289d804', 'c321b34839b61119', '94f12948c13a9141', '2c95162efdfb9d47', '465b88993612ba45', 'd250f5be87c6b648', '0cca6a29009f4302', '91f9896319389ae3', '2fb9ec5355fcfba2', '35ce6f27e3fdc72e', '73afe9702215dae0']; context = [[13, 41], [108, 138], [58, 85], [7, 35], [115, 145], [71, 97], [109, 136], [44, 74], [46, 72], [42, 71], [6, 34], [24, 50], [0, 26], [216, 243], [3, 29], [80, 108]]; loss = 0.012138 low_pass_filter = 0.370
+Epoch 0: | | 3469/? [36:20<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3470; scene = ['560d05577394de06', 'e7d01fc79de7f1c6', '317b285e38d28b32', 'd095902f17028960', '5ecf126eabe4bf2d', 'da32a7df6d00de2d', '93fc382a94286786', '0339b5d985364b83', '4911e381810b09ea', '248bc6eca693c120', '5e7feb40926004e4', '0979d74fb6229f17', 'ad6996ece8de4321', 'aa43846bd2c5e3bb', 'dca9298d29ad02c5', '651a8ebc3a8b53e6']; context = [[33, 59], [37, 63], [43, 72], [30, 60], [42, 69], [20, 49], [55, 83], [30, 59], [153, 183], [7, 36], [15, 42], [8, 35], [33, 60], [66, 96], [17, 43], [228, 256]]; loss = 0.012917 low_pass_filter = 0.370
+Epoch 0: | | 3479/? [36:27<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3480; scene = ['981717c755ee3435', 'dd7eb3fbaa5f4f3d', '95479ca25e2d955a', 'aa2eeecbd664a892', 'f9fac61d6f0f5354', '46646c26665e3f89', '5f443f2595137e9a', '77e47a1640600d9d', '33e9961fed513e93', '12c4de84fb2e9389', '3adc7187799192e1', 'dd4840f0d5227d5b', 'b26c283893ad48bd', '0f3c41decac6e826', '34aa700b2c35219b', 'e98a769801fc68ae']; context = [[28, 56], [141, 170], [50, 77], [30, 56], [30, 58], [42, 69], [48, 78], [18, 46], [57, 84], [55, 84], [12, 40], [6, 33], [63, 93], [126, 154], [158, 184], [77, 104]]; loss = 0.015813 low_pass_filter = 0.370
+Epoch 0: | | 3489/? [36:33<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3490; scene = ['254d6c6b8f9508d0', '6be67867ef006e73', 'ca1aa5c83f9fd74b', '5ecd4f2761d9877c', '5e4c7d3038be2c01', 'f2685cf241827826', 'b13f185b7aa9c6b1', 'e45c9f66012ef731', '0b13ca88611e6d29', 'e90120b06bda46b1', '133fe9e870ccf334', '4b586a8cb868c878', '070a524bacb9aa38', 'bbed62fff468df37', 'ee03755cce11b682', '5645a008715acf0a']; context = [[7, 33], [80, 106], [61, 90], [182, 211], [24, 50], [28, 54], [100, 130], [14, 42], [33, 61], [49, 76], [3, 32], [102, 132], [203, 232], [68, 96], [32, 62], [16, 42]]; loss = 0.013721 low_pass_filter = 0.370
+Epoch 0: | | 3499/? [36:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3500; scene = ['cf40de219c17f028', 'dc82bc53272d4f60', 'bdf3c546187a5a9b', '055ecd661c01319c', '94b3131d49d0062e', 'c639a14f7f9b90bc', 'a10c13e7b3ca2739', '251b033c6bbb0256', 'e694c343f4b5bf59', 'ccda7bb9dfce5c1d', 'f5e3b37b1b2b5f62', '860dadf8da924a9c', '5ee9b11a61c46984', '67144be03a04c9c9', '32701c869bd8dfb8', 'afc173cc0972dd2b']; context = [[75, 102], [51, 78], [249, 275], [129, 157], [57, 88], [40, 71], [72, 102], [81, 110], [6, 35], [209, 240], [43, 73], [8, 37], [73, 101], [17, 46], [139, 166], [158, 187]]; loss = 0.011361 low_pass_filter = 0.370
+Epoch 0: | | 3509/? [36:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3510; scene = ['ad0c472a7098fefa', '6a39adec2fbbfc65', '1706984ae313246c', '760be559ffae409a', '6a12202c0ae9922d', '612fda0cd3a9c671', 'ff851fc7ca0be611', 'f7367cd6a5abce2f', '9d6a76da27e26178', '6d252b311034447b', '8a4184299dfdc112', 'c37ab28939776122', '2c50c042a0695e1f', 'bcb68900df3fb3c7', 'ddfe9ba63e6d372a', '7a8d8426e0d1c1aa']; context = [[12, 40], [15, 43], [35, 66], [14, 42], [57, 87], [29, 55], [72, 99], [69, 95], [29, 59], [2, 30], [23, 53], [64, 94], [1, 27], [8, 37], [44, 70], [27, 57]]; loss = 0.013046 low_pass_filter = 0.370
+Epoch 0: | | 3519/? [36:51<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3520; scene = ['926a4f3af9386f6a', 'bd781c735a39b252', '313139806de65869', 'f6eb748a01065695', '86cfe990f194bb9f', 'eda827d23766de0e', 'cb17460c2a53d3d3', 'e9e020c514404b0c', '985e2ea54fcdc17f', 'e567c08401dda8a7', 'e6910569bc347ba2', '73d0cc9f88dd47a4', 'ea19ed13b8a7a176', '50ef002b71b5df22', '62072e1ce4a3a351', '713dbc9bb40ccc99']; context = [[57, 84], [10, 40], [31, 62], [18, 48], [40, 70], [4, 34], [10, 41], [35, 65], [18, 44], [20, 48], [82, 111], [5, 31], [9, 40], [20, 49], [20, 46], [60, 89]]; loss = 0.013194 low_pass_filter = 0.370
+Epoch 0: | | 3529/? [36:57<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3530; scene = ['ef7970fd2100bdb8', '9324c5bfc27dd743', '951010da4cfe2107', 'b53b27fdad29cf8d', '8ea612b69d6a5c8d', '5a92a34a2fe87f92', 'e3d18e965536d2e1', 'ea4ee011c4990615', '3eaf106eb5c0841b', '58e6dbc7ad022040', '2b44e0afdd749c4b', '3484cd375bed111c', '855879ba909279d2', '376b41c875103f43', 'f01d7cd82b3f1bed', '5873dcd08c6e877f']; context = [[100, 126], [83, 110], [0, 29], [187, 215], [141, 168], [3, 34], [248, 277], [8, 35], [0, 26], [4, 30], [177, 208], [10, 39], [81, 107], [25, 55], [31, 58], [13, 39]]; loss = 0.015521 low_pass_filter = 0.370
+Epoch 0: | | 3539/? [37:04<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3540; scene = ['747f7495c69627d1', 'd712b44c6c37d8ef', 'a4ad4c53ae9869d4', '4f7a2a6848e175eb', '082c89448fae34bb', 'e09ea18dc8f5e04e', 'c5b58ed9710abee4', 'ac8b3ea31c649bf0', '5197f4fc56c524cb', 'afbab9bc6b38ec6f', 'dc4e8a0ec023a5c5', '2a3ad705b43476a8', 'd422e6d19f76b87b', 'cca68d35dfb27a88', '3ac23dbcb3d6a123', '8cc038af90759ae9']; context = [[142, 172], [231, 257], [5, 35], [38, 64], [31, 57], [0, 27], [35, 62], [68, 98], [49, 80], [63, 89], [5, 33], [79, 106], [55, 83], [5, 32], [51, 79], [70, 96]]; loss = 0.014403 low_pass_filter = 0.370
+Epoch 0: | | 3549/? [37:10<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3550; scene = ['56a72d430a8dd9e0', '84607653a6a8b121', 'b44df40a0d74a4d5', '3712214aed3882fb', 'f4cfbc87ff95b92d', 'a0e1d0d42838d44d', '9fd8a9831baf651d', 'eec481a022f9e86a', 'a24e8ad5010be329', '1d7ad8c6900e7af9', '74a1a4637c7f405c', 'e217a44b9eec3221', '06966b2259fb3aa5', '61be2551bb51d4a2', 'd4e738e6d2dfc2ca', '84c770dab9552672']; context = [[10, 37], [30, 60], [84, 114], [46, 74], [6, 33], [146, 175], [20, 49], [60, 86], [177, 206], [10, 37], [80, 109], [70, 98], [30, 59], [6, 37], [185, 215], [46, 72]]; loss = 0.012126 low_pass_filter = 0.370
+Epoch 0: | | 3559/? [37:16<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3560; scene = ['74ea79b22a813a76', '9d91b5a77ade5f52', '8278552315c81e9e', '7c83483b90fc9931', '5bb9a63359cbea6b', 'fde1265e660fc501', '6e2d5cc153138456', 'e36928d0d1da0647', '1fbf76f3380399ca', '503d11e898c93715', 'bc4ff1e97739a672', 'db6869ef0710842e', '5133ba1799428d78', '7f656223fcc8913e', 'a588e1cebdfb4b13', '5cdb1885cfb02fc3']; context = [[5, 36], [94, 124], [0, 26], [36, 65], [49, 80], [28, 55], [12, 41], [154, 185], [59, 86], [86, 115], [20, 48], [123, 150], [194, 225], [131, 159], [194, 221], [104, 135]]; loss = 0.011716 low_pass_filter = 0.370
+Epoch 0: | | 3569/? [37:22<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3570; scene = ['a07efc76f8c1e3c1', '0b1944b1272128df', 'bf3e9ddc696efbc7', 'dce67bdf972fe9c3', 'b712b3811dd7e165', '17b88c14a727ba51', '362b3e11a4f3d6bc', '8b3780acc3a50b68', 'b6d22d6bd307cc90', '4af0acc8924f8df3', 'b7b258cdbcf3f630', '756a0a00121f53d3', '9687e70e5f4eed37', '214c29d12940696a', '1ea972dad8710e4e', '6f515f805a3d2848']; context = [[124, 150], [185, 213], [21, 48], [0, 27], [83, 110], [2, 28], [39, 70], [146, 175], [137, 167], [12, 39], [144, 173], [3, 32], [72, 98], [28, 58], [42, 69], [94, 124]]; loss = 0.014227 low_pass_filter = 0.370
+Epoch 0: | | 3579/? [37:28<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3580; scene = ['f27e91e65e423f6f', 'f4b7929261ffdccc', '43b71e076982a21b', '096e540f66383e76', '24f5ad9c96469938', '2a1c0e06ea2cc146', 'faa09c4a4bb3844c', '20538de137dec3a0', '5817c488b6a26b87', '2ffd5c936053835b', '1d1753bbd2cfdeab', 'f14b4f2c965bf299', 'b1ade16c01675828', 'c102e9397a7598c5', '13f1750202277c01', '0c2960b2659abe55']; context = [[84, 115], [177, 205], [13, 43], [142, 168], [128, 155], [4, 30], [192, 218], [96, 127], [23, 52], [161, 191], [26, 54], [28, 55], [126, 157], [6, 35], [1, 32], [4, 34]]; loss = 0.012961 low_pass_filter = 0.370
+Epoch 0: | | 3589/? [37:35<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3590; scene = ['d8e286da30daba52', '61b1d777f52e4daa', '41e65eba2ca116ef', 'd93481fba83bd8fd', '175e51612f25a50b', 'ddddc748525fe644', '1dcf6e20bc53dd3a', '51bb0c8ae922384a', 'bc511cc4f1d7233f', 'a9883648d75c17d9', '93b5d419e723bfc1', '0ec72b6e6953a36f', '7a244e6ffc814898', '5ab0e29d67fadaf2', '0ab1a55e644c522c', '51cea299a0fa2ead']; context = [[2, 33], [232, 261], [33, 64], [20, 50], [31, 62], [134, 161], [7, 37], [131, 160], [50, 80], [16, 42], [12, 38], [160, 186], [10, 39], [87, 114], [19, 48], [48, 74]]; loss = 0.016568 low_pass_filter = 0.370
+Epoch 0: | | 3599/? [37:41<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3600; scene = ['a40fea86a599c60e', '7aee80abe39c7d03', '4a0419479a29e5a7', 'dfddc9d209e8f281', 'aa2c76bb749d111e', 'db84f84b1d775bb8', '89cc333342232a19', '9929dcc56e6ade90', '07916b8004a8e336', 'bbbaa99ab329087f', 'bbbae78d877d5312', '63eb524e44eeafbb', '869ed5a2a273e8fb', 'b83838c091a3d1fc', '479eefcf1307684b', 'f24a6c3df94a093a']; context = [[26, 55], [84, 114], [61, 89], [28, 54], [199, 227], [1, 30], [127, 153], [41, 72], [48, 75], [51, 77], [23, 54], [43, 69], [9, 38], [10, 38], [115, 145], [23, 49]]; loss = 0.016431 low_pass_filter = 0.370
+Epoch 0: | | 3609/? [37:47<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3610; scene = ['0828e4ae23eaca23', '4109501e6b924539', '131a064a5ab68a39', '154ffc3f70fe9019', '00e735135acbf78d', 'c2a910981ea58dd6', '14464e9cd85e72bd', 'fbc2ebad8df77f1f', '103792bf6a24849b', '2c4bf4c81f761386', 'ac030ef563710103', '0bcbfc72bbc9cf7a', 'dd2917211969e260', 'ddb60a2851cac605', '1f700e5ea08df281', '2504c4c9dd301ee6']; context = [[87, 115], [21, 50], [6, 35], [5, 32], [173, 203], [32, 63], [72, 98], [90, 117], [142, 171], [171, 198], [115, 141], [131, 159], [111, 138], [104, 131], [0, 29], [1, 30]]; loss = 0.014394 low_pass_filter = 0.370
+Epoch 0: | | 3619/? [37:54<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3620; scene = ['a10772e4b4398eb6', 'eb7fb058c14b7c07', '6c85736769aae887', '232eeca687ce1f7e', '31f53697b7d8b2a9', '6ec99924a97ed7f5', '66d4652ef890ce52', '9075825add4e7443', '1a9c15997a0d552f', '85e72acb202e93c4', '7effa2a1152eb398', '4ff83ab9e59ad015', '5ec193c4b6b33e08', '15edaece260430f8', '4915b25efee9ee1b', '9373238177cc285b']; context = [[172, 200], [19, 46], [75, 101], [13, 39], [63, 90], [17, 48], [26, 55], [110, 136], [45, 71], [38, 67], [98, 124], [33, 61], [21, 52], [3, 32], [76, 102], [98, 127]]; loss = 0.011889 low_pass_filter = 0.370
+Epoch 0: | | 3629/? [38:00<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3630; scene = ['802a2c4f1cdd375a', 'aabafe6563b3cf60', 'ff531e6e82b576f0', '32e454614f4107b1', '758bbd2e1358d28e', '2a1831b328268345', '2bbe015bfbec987b', '475f76d77a5bbf1e', 'e6d9e5c4d1e6eac0', 'b69737f8793f8741', '20cf95b75308876c', '0129bec473cfcae2', '586168cbb8fd4583', 'ba6091fde6e9ec9d', '7d72b709f49b961c', '8992132d8d60091b']; context = [[107, 136], [94, 125], [2, 32], [1, 27], [38, 69], [7, 34], [10, 36], [100, 126], [135, 166], [62, 93], [75, 105], [60, 87], [9, 40], [143, 174], [0, 30], [9, 35]]; loss = 0.011726 low_pass_filter = 0.370
+Epoch 0: | | 3639/? [38:06<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3640; scene = ['2486fbf81f40c372', '4ee47d2221d5b867', 'd8ba8a4fb9c1c2e0', '95580012eee0db9f', '13eeb9d14b8f8449', 'd3bd7c9dac07234e', 'f593268320ee867f', '6ea02e383f1fd00a', '9d33bdd88ce8ec85', 'a2bb6c32f99a15ca', '0ba72677f1ca28b7', '2876315f35920644', '4e198c03cfd20936', '4456801bad039b03', '4b0fdf86c6cac027', '311798fdc9ad0489']; context = [[5, 31], [18, 47], [37, 68], [50, 81], [11, 40], [19, 48], [128, 156], [144, 172], [133, 161], [3, 32], [17, 45], [25, 53], [19, 48], [119, 145], [5, 36], [8, 37]]; loss = 0.012701 low_pass_filter = 0.370
+Epoch 0: | | 3649/? [38:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistitrain step 3650; scene = ['52ebdccbea335ddb', '68dfe6f012c000bf', 'd31fda70072d0447', 'ef9c07a7293555b3', '4302f3576310e376', '160eab244cffa6d4', '38a063c486d1e94a', '2a512828633957b5', '0c9bb46be874cb45', '07c292c4e24e752f', '7cfac1c5c75d8cb2', '91569ae4b2a46efa', 'fe76916bbbcc9bfd', '9364344ee7f3c7e0', '6859d00d1fc05309', 'cdad2b86094189ce']; context = [[55, 82], [185, 213], [1, 30], [54, 84], [61, 90], [11, 40], [46, 75], [82, 111], [228, 259], [125, 152], [9, 35], [16, 45], [7, 38], [77, 108], [2, 28], [22, 52]]; loss = 0.011414 low_pass_filter = 0.370
+Epoch 0: | | 3659/? [38:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.000,train step 3660; scene = ['d510619771b2dbb1', 'ebfbb2432fcbeec4', '440db3635ed46037', '24b9f1847fda83b7', '0e3e75ce2921bc9b', '2f9d71971c4c8af5', '713acc9de50a122e', '855e59a8017718a3', 'd470875e58c39c58', 'a352fd5d80869b72', '7bcf3d2dab7bcdb7', '18ef7c53ea187ec3', '2b6d2569e7101687', 'b8bc2b9db71e5440', '35df14b863fc5941', '9603b71f48db69c4']; context = [[34, 63], [178, 205], [138, 166], [3, 29], [63, 91], [129, 159], [39, 69], [215, 246], [40, 70], [40, 67], [22, 49], [39, 70], [39, 66], [0, 31], [240, 269], [26, 53]]; loss = 0.011046 low_pass_filter = 0.370
+Epoch 0: | | 3669/? [38:24<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.000,train step 3670; scene = ['ecd30ae03ed0d83c', 'b3f91493d517c541', '6f71a871b4f9d1f9', '9dba44b5af1b05e9', 'bf6a177f21bf8657', '7f1f3578729394b9', 'bf4bbf858718317d', '140b10a4f6bb5aa5', '9a5201a21290371f', 'a994d244f04785df', '100270e080fe5b87', 'e25329240a498e6e', '11094b4b71a9ab00', '82df5c0953501417', 'f19f3a8c609a931e', '27027861652c32c5']; context = [[39, 65], [81, 110], [59, 86], [2, 31], [0, 26], [20, 48], [118, 147], [36, 66], [179, 205], [68, 99], [73, 102], [54, 80], [64, 95], [163, 190], [44, 75], [206, 236]]; loss = 0.010666 low_pass_filter = 0.370
+Epoch 0: | | 3679/? [38:31<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000,train step 3680; scene = ['6eab0e0fac67fbeb', 'f47ef501676c8d55', 'ccbd1158c0818333', '70e9f9b109005879', '3f7a0be32e85cce3', '31e3f6fe7dedfb1b', '5f9a86b7e44253fe', 'b818d1ecf495afe1', '5792c9e2e44b905f', 'e28995b255868344', '4bb2c640159a3265', 'ab11edbcde7de99d', '384a13e1cf19daaf', 'dd6c60a1cdf29b78', '62e6b50e1a7d0800', 'a07cd9102956df5c']; context = [[12, 38], [10, 38], [2, 28], [114, 144], [38, 69], [46, 72], [19, 49], [51, 81], [47, 78], [78, 109], [28, 58], [45, 71], [122, 149], [4, 34], [23, 53], [57, 83]]; loss = 0.015419 low_pass_filter = 0.370
+Epoch 0: | | 3689/? [38:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.000,train step 3690; scene = ['2789ee0911a1051d', '258faa796752b8a5', '341407721bd3c087', '458d21bb1a5b0ee4', '5f2afc1d28e9e5fe', '855317e00d04b805', 'aeba1b856b9b31b5', '3a2d3179b9f99ceb', '597d60ecb260ff43', '519058643b9ade30', 'c3079f4e3e429796', '7fd95569d89137e8', 'e624690ec09722fb', 'f0d66da33527fd25', '9ed7375d50f00a3e', '0418bc556c8c2d2b']; context = [[9, 38], [38, 64], [69, 96], [67, 97], [50, 77], [14, 45], [4, 33], [53, 80], [113, 143], [128, 158], [0, 31], [11, 39], [0, 26], [10, 37], [115, 145], [1, 30]]; loss = 0.016678 low_pass_filter = 0.370
+Epoch 0: | | 3699/? [38:43<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.000,train step 3700; scene = ['531eb7346128999d', 'b12711bf04626950', '82524d5eded08a37', '9319398a68309ed5', 'f62db2ed14851eed', 'add0de603feccc08', '43088ea31b0f788c', '848fad475b825e34', 'ab0d3321102f7d32', '7acd20c044711b32', '319d3690254625c2', '8a43bf70cb04d4e9', '35b2621e28c44be4', '0a9fb4ad75ff12f3', '9a76d28513b6fdc1', '8f8bf7e5e249ce29']; context = [[74, 100], [66, 93], [118, 145], [45, 72], [13, 41], [38, 65], [8, 38], [48, 79], [11, 42], [4, 33], [53, 82], [27, 58], [42, 73], [55, 84], [36, 64], [96, 127]]; loss = 0.010850 low_pass_filter = 0.370
+Epoch 0: | | 3709/? [38:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.000,train step 3710; scene = ['8ab897ac46529944', '6db5c1f70f5e923a', '383309103a11809f', '7f76f2a8f269ce26', 'ecf4d3591c9be207', '3778b53f38a910e9', '084b8ccb7a5b5de5', 'f6968d2c29ac163b', '05c3847f099df6ef', 'c8c7838b773c8e6d', '008b073e9b710630', 'b92f865fbde65b1d', '10542b29d3d73bfd', '8dbf79bf8fb56328', 'f81c46fec218b506', '9ac8241a27b0ec6d']; context = [[51, 82], [9, 38], [42, 69], [5, 33], [43, 70], [0, 29], [23, 53], [202, 229], [29, 55], [86, 113], [56, 82], [0, 26], [109, 140], [52, 80], [116, 143], [36, 64]]; loss = 0.014054 low_pass_filter = 0.370
+Epoch 0: | | 3719/? [38:55<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.000,train step 3720; scene = ['26efd89887fea30f', 'a41094637dd10a17', '799f56aa23cb6daf', '7b84a9e2e7d8aa2c', 'b28a42fc48ba53d8', '1adf1217ee3b7ebc', 'c6f898024324352c', '7816d1ccf7f11523', 'cc71ef1d3925caa8', '3418a78f3023129d', '8d6927aa2b7c5640', 'c9a6d9d29fa20b08', '51f80353f6008c4f', '72cdd65567fa4c64', '11db2e14d64c1b42', '12048355d2052d78']; context = [[8, 34], [12, 39], [56, 87], [16, 44], [6, 35], [45, 75], [196, 225], [102, 129], [65, 95], [6, 34], [4, 31], [8, 37], [160, 191], [65, 96], [207, 238], [63, 91]]; loss = 0.015814 low_pass_filter = 0.370
+Epoch 0: | | 3729/? [39:01<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000,train step 3730; scene = ['c17c8f9dca224201', '810b4b66938d5d60', 'a4a5f77ac927b7b8', '4dab27a15daad726', '3ac8f1175e70c73b', 'fa0b600ac32f3ed3', '2a06f123c668d541', 'fdd8bff495a35d3c', 'b3b7e186efcf48f3', 'dab76f9e8cf74e13', '04f7f3db54b4e2ee', '8950913eab2e5928', 'b7884ce2812d35b0', '58d5ffd3dd7497ba', '19db4d803976bac3', '48e7f971e373b6fb']; context = [[2, 31], [9, 40], [17, 46], [23, 51], [116, 142], [128, 157], [184, 210], [4, 35], [61, 87], [79, 109], [33, 59], [7, 36], [76, 107], [16, 42], [22, 52], [0, 31]]; loss = 0.011425 low_pass_filter = 0.370
+Epoch 0: | | 3739/? [39:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.000,train step 3740; scene = ['0dea6d4d1d31c4df', '9b6640a5fd61ba73', '52d066afbd70230c', 'dd0ebd35e7a477a9', 'bb753c83df751766', '285a5ff4cd043e2b', '258d0991293a33d8', '7adf869eb170f616', '045a00b4448730ad', '57c0f11046ecaace', '33778a1390b5382c', 'e0df7342222206cf', '674b0b8d7a33588d', '4145ecb599693b8f', '562f4e6ffc1fa73a', '6405e2d406e1b757']; context = [[2, 31], [78, 106], [9, 40], [132, 163], [14, 45], [99, 127], [7, 36], [8, 39], [59, 87], [29, 58], [37, 64], [50, 80], [30, 57], [115, 143], [102, 132], [83, 109]]; loss = 0.015488 low_pass_filter = 0.370
+Epoch 0: | | 3749/? [39:14<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 3750; scene = ['f9103aed764ea89a', 'db7ac6d0820ca218', '533cb55bb055a091', '810ca4a521c99a9c', 'b42b22573199daa9', '63eb40febb2ebcab', '6c80a41558b9ec47', '13b6710151705fe7', 'f232875a1de60562', 'ec7ed53eb54e78c7', '30e7593c9da6a201', 'f5d3c55f34f74cec', '9ba631ec8a1568d2', '2c78821e19bd4ab6', '071373b20ca8de21', '390fce4d1f115207']; context = [[209, 235], [3, 33], [5, 36], [48, 75], [5, 36], [0, 26], [27, 55], [46, 76], [45, 73], [127, 153], [9, 38], [36, 67], [211, 241], [11, 41], [67, 97], [86, 116]]; loss = 0.013429 low_pass_filter = 0.370
+Epoch 0: | | 3759/? [39:29<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 3760; scene = ['516b59544d9c9086', '4ac2729ea26878fe', 'da593472b1bbbb15', '41962a5fd8fca53a', 'c544bcc5c3f750e8', 'baec6e288417e039', '84d0bf1c2891bb2f', 'cab0d99928db8a1b', 'bec9aa809d6beee0', 'e8df730db8e13ff0', '625ea47516e38745', 'c6ae39de68a36714', '2f0ada251c31a62c', 'c5a29b91c95fcfc2', 'c17186792e856d1a', 'a888e37fa9a444a3']; context = [[3, 30], [231, 258], [3, 29], [78, 105], [81, 107], [8, 35], [2, 32], [200, 230], [127, 155], [0, 28], [145, 172], [22, 48], [201, 229], [6, 35], [47, 77], [7, 37]]; loss = 0.013132 low_pass_filter = 0.370
+Epoch 0: | | 3769/? [39:35<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.000,train step 3770; scene = ['7e7d3a5c94a45d03', '792916e996ce2136', 'a75e410b243dbdd0', '46e5a4d61907f704', '7fd4e9cd7ee235cf', 'efe93ae11b0ccdea', 'd0a5fe02748fc75e', '8c68653f00f6d17f', '293fd741a4b1418f', '910ea84fe04de798', 'f3c989f55510b54a', '1104b859ab561a91', '8ce487e5f7832de1', '33e2078934da463f', 'c932900554a3875e', '6f8dd2aaf516843b']; context = [[45, 74], [21, 51], [19, 46], [7, 36], [72, 102], [45, 71], [51, 82], [238, 264], [3, 32], [48, 75], [63, 90], [185, 216], [11, 40], [20, 49], [14, 43], [40, 71]]; loss = 0.009018 low_pass_filter = 0.370
+Epoch 0: | | 3779/? [39:41<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.000,train step 3780; scene = ['924787511c18e2b2', '6b9797fcd88ebd20', '9293552a4fd9e9b8', '7a5fd57c88fc4639', 'f88b8dd03ece49f4', '9668c5dabb3bbf42', '1f3a3b6b8c8fe71b', '9dee12bbbc94f8da', '278b575af13ed26d', '858c4ebf687903ab', '3bf6279c60b66955', 'd2d2a0c5dc46dad2', '32f50ecd874ea438', '3834a10943f0f7fc', '3c1fd0ea246ce388', 'd99560f0aa44a3d8']; context = [[91, 118], [35, 61], [78, 107], [57, 85], [25, 56], [51, 77], [145, 174], [143, 171], [15, 42], [58, 86], [6, 37], [6, 37], [1, 27], [145, 174], [139, 168], [62, 89]]; loss = 0.011732 low_pass_filter = 0.370
+Epoch 0: | | 3789/? [39:48<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.000,train step 3790; scene = ['2ca7a809dda33d8e', 'a2ad27ccbfaa3a52', '7e72a2e96b39c149', '3ffc4b7822281c60', '825d0b6a944ea867', 'b811e125c84adff1', '575b687507b7dba2', 'c83f30711eab9426', '58295ed45e177355', '81a60582d7390e95', '82c68ae3dff8ccca', '1d48beb841b5ecf6', 'fa2a932e44e424b0', '89bd3feab45c5455', '0e96455ada37fdf7', '0e3a56fc6fa4f79d']; context = [[174, 203], [81, 108], [78, 107], [17, 48], [26, 57], [159, 188], [33, 64], [1, 32], [146, 177], [33, 61], [48, 76], [123, 150], [107, 138], [46, 74], [34, 63], [63, 91]]; loss = 0.012261 low_pass_filter = 0.370
+Epoch 0: | | 3799/? [39:54<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.000,train step 3800; scene = ['d6a97f5d2988757e', '90f1b2ef803358d1', '12c95526a738c719', 'e141faefbd36799a', 'fba66650318c0534', '55bc5c2ac085ff36', 'd2739cd7ec4f2ac9', '868ff2e3f4d67849', '3ad2b7dfad207587', '775eeabe0a3a5d16', '65d8a439ddbae342', 'e29aacf03cf0a476', 'e54340dc6d0ff20c', '9c711cdbbcc89a33', '98a0969d2e61aabe', 'e6b9870c1dc02f8d']; context = [[74, 105], [78, 109], [0, 31], [32, 59], [16, 44], [129, 159], [36, 67], [115, 146], [60, 89], [80, 109], [29, 59], [176, 205], [19, 49], [2, 29], [217, 246], [17, 47]]; loss = 0.011039 low_pass_filter = 0.370
+Epoch 0: | | 3809/? [40:00<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.000,train step 3810; scene = ['771c99720c383982', '1fe4a6141969e60a', 'fceff078ea39c8b4', '74e22e2724cb0a9b', 'badfd7edf4b25b37', '856ff8cdb67ce060', '17a43ba9a8843508', '509210a9f0f87e8f', '42b2dabdc5ea4d93', 'cf0f25dfe419c0e5', '7c69c188f3918906', 'c5e7242756e6bdfa', 'ba57ad8ee0354f53', '71184096bdfa36c7', '2fba1210e43813a9', 'e3152b1ff94c2e15']; context = [[16, 46], [17, 45], [30, 61], [177, 208], [117, 148], [142, 171], [63, 94], [80, 108], [46, 73], [23, 51], [67, 98], [237, 267], [48, 77], [38, 65], [36, 66], [18, 47]]; loss = 0.011122 low_pass_filter = 0.370
+Epoch 0: | | 3819/? [40:06<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.000,train step 3820; scene = ['5fdf8298e3d56d54', '5e9895eb77a9605e', 'a4abb1cde2e10cdf', '1b3dc910197fba0e', '6e5d576038f561ed', 'f12f544ed5df8605', '820ec17b78ae0742', '325dd995f2faad68', 'd2f54cae2fa4f018', '3cb3ebfde019ef1b', 'd6f9e33e0fe362f8', 'b32f3bf5cb7a30b5', '96c16a0964ddf0da', 'c73842111303a312', 'cc35f8878cc75987', 'f8001b9bdabb0591']; context = [[7, 36], [106, 137], [26, 57], [141, 169], [42, 73], [4, 32], [42, 69], [36, 66], [3, 31], [188, 216], [3, 30], [25, 55], [22, 50], [36, 67], [31, 59], [22, 50]]; loss = 0.015327 low_pass_filter = 0.370
+Epoch 0: | | 3829/? [40:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.000,train step 3830; scene = ['511207c07d553599', '2dee81e96f68d0db', '8fbcdc76964a6907', 'cff1b98f34078617', '4e9a4eb391a70e56', '935ee686ff5710e3', 'cad624fb40c7edd8', '57286b4f46df727b', '20d14025efeae3d1', '711a29d5a720879b', '727208bc2af4c8a2', '72170a18169c6639', 'd076b7ff97adeb55', '3d65137d93eaf370', '8bbd9f527f5b290a', '5afe72928b27eaf1']; context = [[12, 43], [3, 33], [137, 166], [26, 53], [83, 111], [64, 91], [169, 200], [17, 45], [48, 76], [19, 48], [28, 56], [55, 84], [77, 108], [22, 49], [18, 48], [63, 93]]; loss = 0.012796 low_pass_filter = 0.370
+Epoch 0: | | 3839/? [40:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 3840; scene = ['a83198758eb70f2c', '8875c0f7c6023c39', '5cd70a367b77886f', 'df26f9fd26fb6672', '7f216855367cb4b7', '1fbd8e59c0deb4dd', 'cb8c7b357794bf2f', '607275d6a83af10f', '498d6f0a19e96dc9', 'f5ae7c1332a2ac03', '0d6a36107a563e08', '15dbec007a2cf25d', 'd1bef97ae907d002', '6f62c78d5d1dea0b', '6505566f83e56f3d', 'ed73d167cd9bb9e8']; context = [[50, 79], [36, 64], [48, 76], [39, 69], [62, 93], [182, 211], [47, 74], [9, 39], [36, 65], [37, 68], [21, 51], [12, 41], [135, 166], [4, 31], [104, 131], [212, 241]]; loss = 0.014383 low_pass_filter = 0.370
+Epoch 0: | | 3849/? [40:25<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000,train step 3850; scene = ['12adbd00ee2b3fcc', '12a8561544c97948', '109be21e1df549ed', '072ca8802c0424e4', '30eecf21955226cc', 'bb63fc0162dc10d5', 'c41e1ed39da70573', 'df30479d7cd20d79', '7a2b3c953d211969', '44c5d8459773f57c', '948c921929ad168b', 'ea77fcbd26a790af', 'b99cfd85b151c0db', 'ad88a6a2918af1b5', '47f634b114a3b671', '8809f54c9198fc91']; context = [[60, 87], [8, 39], [148, 178], [0, 29], [151, 181], [175, 202], [46, 74], [37, 68], [89, 120], [37, 64], [68, 96], [38, 68], [70, 100], [17, 45], [70, 99], [81, 111]]; loss = 0.015193 low_pass_filter = 0.370
+Epoch 0: | | 3859/? [40:31<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.000,train step 3860; scene = ['e21b4e75f77765c5', '9241c3ab4b558671', '8833a34d9a034495', 'e94371dfe35d248c', 'bc521d4b43740651', 'dc7460e98b4f2f1f', '2a7e2f0d4cdc616f', 'd05247944f04d2fc', '28e3c9a4261b68cf', 'a60a2e4385f361ac', 'b6c080c0457896b1', '4b2d80c510bb8088', '4609cbd1d6254985', '73341b79eaf41f6a', '75360b350aacca61', '0ebbdd2d2ba475c7']; context = [[78, 108], [85, 112], [11, 42], [8, 36], [28, 56], [26, 53], [40, 70], [153, 184], [14, 41], [80, 108], [3, 33], [3, 30], [6, 34], [11, 39], [24, 52], [38, 68]]; loss = 0.011557 low_pass_filter = 0.370
+Epoch 0: | | 3869/? [40:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.000,train step 3870; scene = ['8a287cd8d977e84a', '1ff7f4b8ac696e34', 'ad66977725bc0401', '2a32ff1118f52fb7', '1355b7884090c3d0', '78dbc8c7b542378d', 'c10b4020a9263a81', 'c3e699494a58052c', '2e52528c924eec10', 'c7bcb6e6fb240827', '989b11ed7420add7', '9e3fccd43f45c2d2', 'c13bb399a020e3c3', '21c6f59110072ea4', '4a14943578b95a8e', '133b10735f5e1c03']; context = [[139, 166], [47, 77], [4, 33], [177, 204], [10, 38], [26, 54], [67, 94], [130, 157], [20, 47], [36, 67], [7, 36], [115, 144], [150, 177], [111, 138], [5, 34], [38, 67]]; loss = 0.013868 low_pass_filter = 0.370
+Epoch 0: | | 3879/? [40:43<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 3880; scene = ['f83af37ad99c1655', '79beea9672385e70', '87a267d2cfa6ef7f', '4cb3a3bc72da5752', 'a6ff3463269a8294', '3428dfbb69ba1c94', 'd951d136123e72ca', '92d48535714e3403', '681de2df4fcb3ddc', '9b34d768bb3ff6c5', 'bc84a3e1d55aa887', '984fcd3c7c0ddeb1', '4d3bdfc0840251d2', 'dcf8835ddbd28de7', 'e41a7b1166260163', '8e511bd9c1d35a91']; context = [[7, 35], [50, 81], [110, 137], [57, 85], [38, 68], [23, 51], [92, 122], [62, 91], [23, 53], [80, 109], [230, 257], [78, 109], [26, 57], [35, 62], [0, 27], [5, 36]]; loss = 0.011140 low_pass_filter = 0.370
+Epoch 0: | | 3889/? [40:50<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.000,train step 3890; scene = ['8c662a617235e175', '808d34c910e9f8ff', 'f15c0a5e2869e61a', '22c651e15b5d5339', 'eb25a67b8edf24dd', '3888df11c21d4db5', '42c32233f309708c', '99a34d6492f6ccfe', '3ca571cdaf0080ee', 'f6d7dc72b9906e1b', '985a81850d13edfd', 'cd80c587743d9836', '3b5ecc7fa7f0597c', '0b77cab786151df6', '937764224c20d45a', '9c086d61e7ef8fb3']; context = [[19, 46], [173, 201], [0, 29], [95, 125], [14, 43], [48, 77], [109, 138], [166, 194], [3, 30], [60, 88], [155, 182], [33, 60], [19, 49], [109, 139], [69, 96], [14, 45]]; loss = 0.011192 low_pass_filter = 0.370
+Epoch 0: | | 3899/? [40:56<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000,train step 3900; scene = ['b0f2f68540611bb8', 'f676f819da67d1f7', 'cc741538e7d85bb5', 'dd88da6be7b3e1b7', 'e558384acd9268e8', '3b454aef39138012', 'c8982ca964bb4860', '48366367a5fdb244', '1e342fe217cba528', '44c36113e6cea8ac', '70d4882f3b983001', '5da9ed6155213ba5', '2d77b1dd90856337', '8e92a7934ae4139c', '1d8bf12e2ba493f9', 'eaaf81aa1bc440be']; context = [[71, 101], [66, 96], [207, 235], [3, 30], [4, 31], [1, 28], [13, 40], [45, 72], [44, 71], [26, 54], [11, 42], [28, 59], [88, 116], [10, 39], [15, 45], [117, 147]]; loss = 0.015550 low_pass_filter = 0.370
+Epoch 0: | | 3909/? [41:02<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.000,train step 3910; scene = ['43dcad54760149f9', 'afe48f3de1922dea', '540dfce9c785ed62', 'd08a17e8ed283bf1', '09957592fc85258e', 'b2f641567a21c670', 'b60bd0b7724eef6c', '41adf1f6d52943e1', 'fb58d803ff8567b2', '1fb6158631b058b0', '08ba91736b9b2a17', '2b36862276366c49', '879236637468c58e', 'c6395f5729950511', '960b87d0c2ce86d2', 'dab103950a98ced4']; context = [[9, 40], [5, 36], [0, 28], [21, 51], [137, 165], [28, 57], [21, 50], [5, 34], [22, 51], [10, 40], [34, 62], [38, 66], [77, 104], [149, 179], [42, 69], [54, 83]]; loss = 0.013010 low_pass_filter = 0.370
+Epoch 0: | | 3919/? [41:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.000,train step 3920; scene = ['b5aabaaad03680ab', 'c1e04632f1f7c835', 'a3a708f014a0d854', '40b8c05f6ff38457', 'bc21bacc627a1a97', '32e02be2574101b2', '9059042bbf51985f', '5f41853b77e6e6e2', 'be06cb0dddaf9da6', 'b4edc7085ee59eb4', '80f05cdda5f934d4', '24b67dbb503a87b7', '07e43ec814c3ae7f', 'a698c4ba4ccca74c', 'c81116e9985d9e29', 'bcf85ccd292d399a']; context = [[33, 62], [40, 69], [6, 33], [25, 52], [7, 38], [184, 211], [29, 59], [3, 32], [41, 71], [45, 74], [9, 38], [82, 110], [6, 34], [28, 59], [71, 100], [131, 159]]; loss = 0.012747 low_pass_filter = 0.370
+Epoch 0: | | 3929/? [41:15<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.000,train step 3930; scene = ['45e99af9de479d18', 'fa65596a8e365af8', '082c0c02689ac9ea', '20c567d65674f2ca', '37d500b0d445527a', '3c4bdecd948605b2', '58d3f0291ef949cd', '8f6466cf3955548f', 'd77d8728b4f60c05', 'ed32136a29bd41e5', 'a1b6e8ac262440d5', '5f2242ceed2ff1cb', 'a7a018165cd919a4', 'd646eafcd1d75375', 'ebcaad26ea067131', '8727a972009a2f02']; context = [[14, 42], [171, 198], [81, 111], [202, 230], [14, 43], [23, 51], [52, 79], [77, 106], [32, 59], [112, 143], [46, 76], [22, 51], [15, 44], [56, 85], [191, 219], [34, 65]]; loss = 0.010605 low_pass_filter = 0.370
+Epoch 0: | | 3939/? [41:21<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000,train step 3940; scene = ['0eacf9b514bc8c4c', '3a61e0db35b8ed91', 'b3c6e6ce7774cac2', '5281a8fb06713250', '4055b055606e283b', '4bacf868d6095406', '4360ac16047eba4b', '8d6f84d1ca63da4e', '15d0496b4ef33361', '031b56a2e1e4bbbd', 'b5260341870c7aa0', '172bf6877630ca5c', '645a09d7d7670e8d', 'ca2389f5e4fcfe61', '351c033201dd3ec6', '6b0cc71a66f4c9c5']; context = [[59, 86], [131, 161], [55, 83], [69, 97], [23, 54], [122, 150], [31, 58], [6, 35], [172, 201], [37, 65], [103, 134], [20, 49], [65, 95], [76, 106], [48, 78], [170, 198]]; loss = 0.013195 low_pass_filter = 0.370
+Epoch 0: | | 3949/? [41:27<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 3950; scene = ['c420be3f96474307', '47a60f3119c7d7e1', '17fbb941d129b91f', '2735d9182acee2f1', '5b9d1cf99dc03ea9', '0d8f65989586d136', '00adc59ebcbe00f7', '104d225e8ec52733', 'da794e5b3ff8bd6d', '3afed25f2ffc4864', 'aaece70a39dd3257', '0f04f8ee8b2396c7', '7fde9a464e6b2a7b', '55f0fab213db4673', 'e045088757e72c54', '39f7c76ef42ac1d4']; context = [[5, 33], [20, 51], [28, 59], [17, 46], [20, 48], [233, 261], [11, 40], [61, 92], [30, 58], [18, 48], [32, 61], [66, 95], [25, 55], [48, 76], [44, 75], [2, 32]]; loss = 0.016327 low_pass_filter = 0.370
+Epoch 0: | | 3959/? [41:33<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.000,train step 3960; scene = ['440ce0df90c936a5', '4b748cea2f19798f', '37f5f4362e72fcbd', 'c0e8b7d8718425ec', '4333b743c3df5779', 'b5409662410d388b', 'c426c3939899ee95', '84727cf519681ecc', 'f113e3eb8512e251', '8038a594dd50c839', 'de9452d754cf1a63', '8a20ea3b37f8de6c', '6be9fe4a43a26b4f', 'ff8ee30336673235', '04bea0ff2ea6a71b', '4011c9af6ae24850']; context = [[32, 59], [181, 211], [106, 135], [198, 226], [25, 53], [119, 150], [59, 88], [39, 69], [180, 207], [152, 182], [191, 221], [110, 140], [239, 270], [69, 97], [14, 43], [2, 33]]; loss = 0.013282 low_pass_filter = 0.370
+Epoch 0: | | 3969/? [41:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.000,train step 3970; scene = ['42df8c69e0daeec6', '3193e8bf21491023', '0cf733dbbb0e017f', 'e99b8e7d2791de5a', '152c068750a9a9d2', '693b3955c59a2c61', '9cfde553d1782ed4', '3c5825296fdc2a5f', '48bfe6a23972602c', '6692c7ea8af5d77a', 'dcfb0ddcac6008e6', '2b823dc43ce3923e', '99e7a4ff1897a94d', '7772aec9b0479a5e', 'c65c4f335b912414', 'ec462ba8773011b1']; context = [[43, 71], [29, 59], [245, 273], [13, 40], [83, 110], [46, 75], [2, 29], [45, 73], [89, 120], [73, 101], [45, 74], [7, 37], [1, 31], [34, 65], [2, 31], [26, 54]]; loss = 0.010308 low_pass_filter = 0.370
+Epoch 0: | | 3979/? [41:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.000,train step 3980; scene = ['3f66eee8a5092748', '677a227d2b46baca', '159f2b7bc9d7b2a9', '296a1d43f81ed419', 'a90d97dc07e81061', 'f9553326a5f4ace0', '109b6adc229361df', 'e5dc96d4a551f24b', '3f3e74839f5c5b66', 'c9e8b97faafa2ebd', '6534207350c6ba20', '6c48d4f8e82c11fd', '655b92a1e07f28eb', 'e5dc977e96e194de', 'b44e76ceadcbe46b', '7d1d5f8c68d8e947']; context = [[72, 101], [12, 41], [29, 60], [56, 86], [7, 34], [227, 257], [223, 252], [51, 79], [16, 46], [78, 105], [16, 46], [31, 59], [207, 234], [93, 124], [230, 261], [15, 46]]; loss = 0.011535 low_pass_filter = 0.370
+Epoch 0: | | 3989/? [41:52<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 3990; scene = ['646cc7d6374ec7ae', '83124d7f14f5e63f', '3774a128fdeb369c', 'b72280023e69660c', '4ff883d15e976b33', 'ec86e6990fcd3023', '777a625e551c0354', 'fd4972b6ebc2992e', 'a6190e510a7815d4', '6a59acf348379a73', '24d937b4695cd100', '15297e87f90ef80b', '62a79f4f4b0683d2', '8800988126b27890', 'c0b1165ffad400d5', 'e0feeb21d0e40767']; context = [[146, 173], [7, 36], [36, 66], [8, 38], [1, 30], [15, 44], [150, 178], [116, 143], [48, 79], [43, 74], [4, 32], [23, 51], [62, 90], [25, 55], [164, 191], [7, 34]]; loss = 0.013811 low_pass_filter = 0.370
+Epoch 0: | | 3999/? [41:58<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.000,train step 4000; scene = ['5fb80ae92d0685a6', '79ac8c1697071605', 'b8b4d4e967b1eaed', 'c44c89003028942a', 'a99dc3202017e7ff', 'c0bf06f467375743', '3527c9327919201e', '1693c23f843b85b4', '184239156b2c35f5', '371a383238e985a2', '021304d1e09c8b5f', '300272f7a17b746a', 'd81254badee593da', '690e51b50279878b', '01f2f5f1a7ecba68', '333f62c89b529822']; context = [[94, 124], [8, 36], [39, 67], [34, 65], [21, 50], [3, 32], [27, 58], [5, 33], [121, 148], [8, 38], [33, 63], [136, 165], [40, 70], [95, 123], [0, 28], [15, 44]]; loss = 0.011851 low_pass_filter = 0.370
+Epoch 0: | | 4000/? [41:58<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,validation step 4000; scene = ['647f2049bf4cb3f3']; context = [[15, 44]]
+Epoch 0: | | 4009/? [42:05<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.000,train step 4010; scene = ['6515d79898b9369a', 'b1dc88aff4b1a3cf', '63b5e725794f8891', 'b8c77f634469a6b6', '57855140884302d9', 'a61018020bd0c545', 'c92ef5fbc5fa1ba2', '6915a186168543b8', '5eda0406a5e02452', '32df185121315429', '9b4023216c7798bd', 'c874ebccecfe6add', '07bf825918a85f50', 'f729fcce20f5e06f', 'de22770da73bbbf1', 'f80301703d292a0b']; context = [[114, 142], [39, 67], [3, 32], [90, 117], [88, 117], [12, 40], [14, 41], [13, 41], [38, 68], [137, 166], [15, 44], [15, 42], [44, 75], [112, 140], [77, 104], [82, 110]]; loss = 0.016234 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 4019/? [42:11<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.000,train step 4020; scene = ['937ea87bb5a2047f', 'd4b73954f873679a', '73fef5139753e974', '6fb2aa1d31d527e4', '278f61f8ab774b4f', '295a4324517ee9bd', '4b182a8dbf6184f3', 'b99e5b404aa9be0a', 'b09e289b3dc5b7f4', 'fc5e9f0631219e44', 'ac11dd4ec6470f05', '4cb5a4167f3efffa', '6b0df114b4ee6f0d', '06abec1654571d74', '0f4a9d91c1fdff3b', 'af0016aa6c9febbb']; context = [[53, 84], [97, 125], [47, 76], [194, 221], [49, 76], [32, 62], [14, 44], [87, 117], [11, 42], [82, 109], [1, 28], [41, 69], [67, 97], [107, 136], [15, 45], [9, 37]]; loss = 0.010864 low_pass_filter = 0.300
+Epoch 0: | | 4029/? [42:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.000,train step 4030; scene = ['0f948e341c3124cd', '9804f6309523dcce', '92cc64bcd4dea062', 'b68241a4ef2809bc', '53a8dc913dbc5a8c', '52ee29e2ce0a132f', '018e7d43f8ef9d06', '2ebabd37e60ceef8', '93d3b5c3a5978975', '50cf66a7122f2855', 'a5d896c07cc8008e', 'ce741ab39addbd9c', '958b9b173df2483a', '6050e2ba7733cf5c', 'cceab800023488f3', 'e175be14e93ba0b1']; context = [[38, 65], [33, 60], [7, 38], [73, 102], [6, 36], [6, 36], [7, 38], [131, 162], [17, 45], [24, 52], [67, 98], [79, 107], [50, 80], [4, 33], [20, 50], [206, 236]]; loss = 0.013065 low_pass_filter = 0.300
+Epoch 0: | | 4039/? [42:24<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4040; scene = ['423fb23a46b7ad6e', 'fbf467b7610b569c', '3205bb1ec6c5e8a4', '03150a5a24b88cf4', 'f71169f6eb2a1195', 'ee251030064a2355', 'cf55ee72cc78fb79', '0d6c94a28a7cf6dd', 'fd3b403751eb0853', '2319b2278555a5a1', '8fa56ad7357b7384', 'aa9d00c30a2ed3a0', '337c6c2e1f2f13ef', '0621c7675fab1418', 'cf47d1935a474b1c', '4c31991f6f26fce0']; context = [[66, 97], [32, 63], [33, 60], [20, 49], [130, 159], [16, 43], [13, 44], [2, 30], [109, 139], [18, 47], [4, 34], [49, 80], [75, 105], [9, 36], [17, 45], [8, 35]]; loss = 0.010522 low_pass_filter = 0.300
+Epoch 0: | | 4049/? [42:31<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.000,train step 4050; scene = ['37fd2f3f34ae6a61', '526e15b861dbde42', 'ef05aaf749b3d6bb', 'f241dc13122c01e7', '0aa601b42a2b5dd0', 'd5415ea8c79b23bc', '7c621648d0d07a65', '8b95bfe3e8140690', '2d65c93575c6a883', '471a35c1cd5a8179', 'd0c0d5fc515e76ae', 'e2970558f4892f7a', 'e33342f08e052378', '01e5207480d75225', '698495499f8fdafc', '816112a90ba0035b']; context = [[55, 86], [28, 57], [30, 57], [10, 38], [158, 189], [9, 38], [101, 129], [67, 97], [2, 30], [17, 44], [86, 116], [84, 114], [220, 248], [30, 61], [24, 53], [52, 79]]; loss = 0.014637 low_pass_filter = 0.300
+Epoch 0: | | 4059/? [42:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 4060; scene = ['0dbb47bae0f2a724', '5cda06618fa317be', '3f9bccf346f84b5e', '6bb82afb461cca15', '6027ca21a5e4603d', '27060266cbd84384', 'c48400351c7b11df', 'eb839322cd90391d', 'fdcd953867c67189', '1ebd573ab2f817f3', '67dbd6412de4a075', 'b2db9653071d45e0', 'cfecc40203481c0f', '9cb7498b7af59492', '0865ab5087227a74', '522da2a710ac5837']; context = [[100, 127], [21, 51], [30, 61], [81, 112], [11, 42], [2, 31], [17, 46], [136, 167], [35, 66], [70, 97], [159, 189], [102, 131], [29, 59], [116, 145], [3, 32], [16, 47]]; loss = 0.012584 low_pass_filter = 0.300
+Epoch 0: | | 4069/? [42:43<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4070; scene = ['f28e90e7591945be', 'dc3a54ede2d48c8b', 'ff013f8bcc9f80fa', '9d79273413b39047', 'bfc897cfc8733b10', 'b398bc3316269700', 'ad851e2af582ccc0', 'c7f66b7e91a9e97e', '4e3ad7b697fa82ec', '600d0b927ad2995b', '30191495233db79a', '8caccc97dbc76d19', '6738f8412043189a', 'd084bcb064ea2f55', '2e2f1ccf62989277', '9fdeb0d1eeb78a3e']; context = [[28, 55], [248, 276], [48, 76], [112, 141], [64, 95], [13, 42], [48, 76], [58, 88], [16, 43], [210, 238], [11, 42], [7, 34], [85, 114], [14, 44], [238, 267], [10, 38]]; loss = 0.015728 low_pass_filter = 0.300
+Epoch 0: | | 4079/? [42:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.000,train step 4080; scene = ['8ab06b946305e748', 'fa94ec464866ccfa', 'e47853cf56368a5b', '14ca9b012a709593', '0f131672e69409d0', '5987841ef0c7a1df', 'c8af8613f643a65b', 'dcd8192614eb6df6', '6fa448f84a097593', '6f4fa4d46828ff39', '47b06bf4257e2e6f', '6dab80117b1cb479', 'f01c5823afd06b8f', '8c94bdd2b798e17d', '757f1088d03ebd8a', '564e26b48dc77930']; context = [[0, 30], [68, 99], [15, 46], [51, 78], [65, 97], [5, 37], [173, 205], [20, 51], [212, 239], [102, 132], [59, 88], [62, 89], [26, 54], [79, 108], [136, 165], [14, 42]]; loss = 0.010447 low_pass_filter = 0.300
+Epoch 0: | | 4089/? [42:55<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.000,train step 4090; scene = ['5c1dd2301e22374e', '72b3e2dda6cd3afc', '1e70d59cdc2296d9', '36cb3e8fff79b724', 'ec938727ca124155', '8ddca90ddef969af', 'a5a9ea8d2ec80fa5', '6b00d03a245eed96', '487dec4b7b2ebd90', '5d54686ded433477', 'c0f577534b342324', 'd5065ab056db1de1', '996c2ee081cda2d2', '292ce0e1c772a2f9', 'dcebdfce0a2e58ce', '3d558b33e360e107']; context = [[27, 56], [11, 39], [67, 95], [61, 93], [54, 83], [55, 86], [100, 132], [19, 48], [126, 156], [23, 50], [57, 86], [84, 115], [55, 87], [11, 43], [3, 32], [37, 69]]; loss = 0.012338 low_pass_filter = 0.300
+Epoch 0: | | 4099/? [43:01<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 4100; scene = ['4e1f3bd33271ea07', '167a09a40e849d22', '13a489e7143cbc33', '65eab90101fa5069', '8e3c9a3eb65b2395', '403afcc00cfc8172', 'de1d8bd49caea768', 'c6252c821a5310db', 'de85f42958581743', 'be525cda9f20912b', '39e99101dae5b664', '0167c4f60f8d3edb', '03575bf8316084e9', 'e2f199d364a2dd73', '217c6e278b7b4b91', '96c6e2db1b6b3961']; context = [[0, 27], [56, 83], [33, 60], [23, 52], [46, 77], [53, 84], [127, 156], [16, 46], [41, 70], [32, 60], [11, 41], [0, 30], [11, 40], [64, 95], [10, 38], [57, 88]]; loss = 0.013514 low_pass_filter = 0.300
+Epoch 0: | | 4109/? [43:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.000,train step 4110; scene = ['b915146b10f26355', '7f60555b6995c522', '08011a68f39ca0f4', '3485e4776717068a', '490710a2cacc8268', '94f20b7d0165bdbc', '069c535d11d48564', '25a35d6bb3d58a7a', 'dc340f8aa416f839', 'ff5a148b852949ec', '6b549d67d37b3d6a', '9ce18e551df6c324', '3169a93d40545f53', 'f45c0dfe6693c28f', '5190e7583e7c034a', '99e4757b3ec84a1d']; context = [[27, 56], [9, 37], [36, 63], [18, 45], [180, 210], [3, 34], [40, 68], [11, 40], [105, 132], [28, 56], [217, 249], [104, 135], [21, 49], [115, 143], [113, 143], [1, 28]]; loss = 0.012646 low_pass_filter = 0.300
+Epoch 0: | | 4119/? [43:14<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 4120; scene = ['530ef7860d383ff7', 'cad89df12fc146e9', '36bf8b485c1284dd', '78ddb18e77a98079', '7d8f97b868ccbb20', 'e937f0b04a960552', '7b70cc2310d009ad', '91d495bf87c49477', '9d5c79ae97b12abf', 'f377fc09af0370f3', '27f9f6d38c7e8e4a', 'ce1ba9200d3b5f9d', '00cfaaa4ba7a16b2', '6bcdb82cb6b822e6', '86db5362c760a2a6', '1a5a8ce59f4c2e5b']; context = [[76, 107], [33, 61], [28, 56], [90, 119], [20, 47], [15, 45], [37, 68], [59, 86], [21, 48], [84, 116], [26, 56], [210, 241], [49, 81], [55, 86], [23, 53], [5, 35]]; loss = 0.012789 low_pass_filter = 0.300
+Epoch 0: | | 4129/? [43:20<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 4130; scene = ['d15194c473c5f537', 'fbc81cf7f2257dc7', 'a465151bd2583e99', '38843476b90d06fe', 'c3858f544a9d90df', 'e1cbdf748a4b04eb', '25604d48a185be0c', 'c6c328242b50ef3e', 'ccfb0dfd6611337a', '5b52ca5def21e510', '7f8c25373eb6ef0e', 'b3656beda36e21c6', 'e85e9ca51c4df1b3', 'f884bf6ffaca45c8', '41c244d2220305cc', '161b1aae30b9cf97']; context = [[41, 70], [6, 38], [2, 31], [41, 68], [30, 58], [2, 30], [13, 45], [36, 65], [59, 86], [22, 49], [20, 51], [23, 50], [112, 139], [6, 36], [40, 72], [47, 79]]; loss = 0.010804 low_pass_filter = 0.300
+Epoch 0: | | 4139/? [43:26<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.000,train step 4140; scene = ['63a669ba5d269266', 'b16a5957d0cb2336', '26923ce39ef7e6c9', 'b438915a424387e4', '21da907c41e1f6b8', '92bf6f6997e63996', 'f6ea4a33482b14cf', '278af36722395494', 'c9661d73cba46fbb', '0172e6a29a2f00e2', '129486d2d0f4ebe1', '9cab7acb31f8c01b', '3eefb1d71f5507ac', '9df185c096833083', '7dc17d33bc5e889c', '448107015c3d0b00']; context = [[0, 31], [85, 116], [38, 67], [52, 82], [27, 54], [44, 74], [42, 72], [130, 161], [4, 35], [5, 37], [94, 121], [15, 42], [0, 29], [33, 65], [47, 76], [8, 37]]; loss = 0.014189 low_pass_filter = 0.300
+Epoch 0: | | 4149/? [43:32<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 4150; scene = ['69752083488aae44', 'aa33b903d6b2a57e', '75cb48e0b83d8bed', '3bc380de39e58a1a', 'f3f4f9da9acefa67', '706d500bd8966fc8', '32fa2f64dfaacf21', 'd814de9932daf6b5', 'aa2175c8bffe8ad9', '90cd35aca00fdde3', 'e1bfe1e13278c747', '4ee78f549f4bddfe', 'edb290012640c9ee', 'f252c7a1a233426f', 'c0ad727566fca461', '17a9e0f6c76399cd']; context = [[103, 134], [3, 30], [11, 38], [44, 75], [35, 63], [89, 121], [128, 160], [40, 72], [131, 161], [12, 41], [81, 112], [28, 58], [46, 75], [10, 38], [46, 76], [18, 48]]; loss = 0.014339 low_pass_filter = 0.300
+Epoch 0: | | 4159/? [43:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.000,train step 4160; scene = ['68acc2522f558367', '4fcec6671d77987c', '59af7a148f0573b3', '2395ecfa5327b13a', 'aad9a3b6cf7ad971', '394c8eae897600b0', '6bd6d8270eee0b81', 'e308bb209941c309', 'a3687e6319f47730', '95cc4a86e6e8e823', '3f53a38d77a20a18', 'b117f9d8522f755b', 'e398b6b9b1e85cfa', '935620b6d95b7e07', 'cce19f034d7e4c4d', 'cab8dd14f2f78abf']; context = [[166, 197], [10, 40], [5, 35], [84, 116], [37, 64], [126, 158], [35, 63], [1, 30], [8, 36], [32, 62], [10, 40], [68, 95], [38, 68], [66, 98], [53, 85], [29, 58]]; loss = 0.016569 low_pass_filter = 0.300
+Epoch 0: | | 4169/? [43:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.000,train step 4170; scene = ['5eef7d76653d3c85', 'ff1aaaacf1f11d52', '4fed2921695a07a0', '14d78331d07a5797', 'ff4baf1fa516e521', '08ff3470b32680d7', 'c93ea1bee6fcaa99', 'a8486538b6d9d2fc', '82f269e774f2e65d', '6b599a4d8c7d7275', '63b4b7f92377b7d1', '15f15336f1ea584f', 'c63219b72979f85e', '4ec21b3df4931e7c', '7894112a97be7c1a', 'cf3fe357ad8ba247']; context = [[76, 106], [0, 27], [41, 72], [61, 90], [221, 253], [8, 39], [41, 69], [5, 35], [131, 158], [144, 173], [22, 51], [18, 50], [11, 39], [70, 100], [23, 54], [12, 44]]; loss = 0.011487 low_pass_filter = 0.300
+Epoch 0: | | 4179/? [43:51<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 4180; scene = ['f75bce94129f67f5', 'd9963ae38f556282', '2827b4eef2b7e4bc', '6cae87d4fc3fdd5a', 'fb2bef7738084ba6', '066f14037c220103', 'd765975fd4b393d3', '5481684221b5e41b', '2bda64489943db2d', 'a325c0cc4fb65e6b', '56e30b146039a04c', '185fdfafdd66a572', '3dbb1d21f0d5f6cc', 'd00bf9c20463c925', 'b29d52ebccddf773', '32051586815eca31']; context = [[25, 52], [16, 43], [53, 84], [8, 39], [9, 39], [10, 42], [27, 57], [24, 56], [27, 57], [74, 101], [115, 145], [1, 33], [91, 121], [35, 65], [35, 64], [162, 192]]; loss = 0.010390 low_pass_filter = 0.300
+Epoch 0: | | 4189/? [43:58<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.000,train step 4190; scene = ['cf784e584d2d33da', 'be885aa875712dde', 'fc5c4244dd42b9c2', 'd29ff797dbc69ab5', '2950884335bd243c', '594a53a4007ff3ee', '0016d89da2d78196', 'a3b8ced5e578e5fc', 'db9bc0ff275d4fbb', '8663906248d346cb', 'c10a042037a5a120', 'ea4fb83f87109ac9', '1b38ef04f2839dd6', '4308154957c1ef63', '3d83d2d0323c3aa7', '7a8567f45e05ad57']; context = [[17, 47], [48, 76], [48, 78], [5, 32], [17, 48], [10, 42], [132, 159], [6, 35], [94, 124], [107, 136], [8, 39], [1, 33], [65, 92], [23, 52], [147, 176], [234, 262]]; loss = 0.013501 low_pass_filter = 0.300
+Epoch 0: | | 4199/? [44:04<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000,train step 4200; scene = ['74a01a1daaabdab7', 'a26f6e7deacaa157', 'eb9d8eedd458413f', '21e72cbe7342ef40', 'f914acd76dc2439c', '1a7204b603b0c765', 'd5616c51b75cea9e', 'fa7236017c73627d', '0c19e54f2f616ec7', '8fde54714a0b6a60', 'bab6e161cce58a69', 'aa13dc482af1ef23', '30a6aca7316e78cf', '76f1441716f1db7d', '6ca6dc6c2deea07e', '412a23db7d841386']; context = [[8, 35], [36, 68], [14, 45], [28, 56], [98, 126], [9, 39], [65, 93], [131, 160], [9, 36], [138, 167], [131, 160], [27, 56], [236, 267], [4, 35], [59, 87], [62, 89]]; loss = 0.011545 low_pass_filter = 0.300
+Epoch 0: | | 4209/? [44:10<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 4210; scene = ['d6915ba62668a1ac', '156d109af18219d0', 'c200cf8e0f790a5b', 'd928ee1aa1bf62f3', '1b046ac48aff103f', '47c9a3f589559b0d', '0ea02580498c6df8', '333819a55992b14d', '3eb88834d1d10dbd', '91e35e7d77764a38', '413d6eaceb1a9941', 'c4dcd6a5b2da28b2', '954085ee1bd41d21', 'f870cac9be2d72ea', '3695468b2f5abca0', 'f8b94108d89ec159']; context = [[2, 32], [41, 71], [48, 76], [162, 194], [14, 46], [7, 34], [28, 57], [19, 49], [65, 97], [151, 183], [36, 67], [39, 71], [84, 112], [122, 150], [5, 32], [177, 205]]; loss = 0.013627 low_pass_filter = 0.300
+Epoch 0: | | 4219/? [44:16<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.000,train step 4220; scene = ['57f766fe3879b023', '19062aa8b95be419', 'ee89a333d4e74ed6', '1ec011c8e0b341e5', 'b812d15c24d97c39', '5d09e3450542850c', 'a06d7d6dd50ff425', '565a146a1bb89917', 'fdee634c49f424a3', 'c17627bc5ae95e76', '0e4be95a7a352b3e', '8984eb818bfe4b6a', 'f9d4d09bb92dac5f', '79ee468c78225a70', 'c6175453d0559407', 'b74a633bb102c61b']; context = [[115, 147], [67, 96], [38, 68], [1, 33], [6, 34], [37, 65], [193, 222], [5, 36], [38, 69], [116, 148], [221, 252], [142, 171], [11, 39], [6, 34], [34, 65], [55, 83]]; loss = 0.015467 low_pass_filter = 0.300
+Epoch 0: | | 4229/? [44:22<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.000,train step 4230; scene = ['f4bd64444124a20c', '66ed8d9f52f04621', '8ac6426cb060bc50', '1afdeca5e59e0ac3', '0144de7e0f137b77', 'bca3877f59d640fb', '7dbd9d5adbc298b4', '6a50dc3720276e24', '9a6451d7cac94bff', 'e24bcd02fb1d6e1e', 'dc67497a3e582670', 'df3d1461d3c6f026', '49dc1df9df8763a3', '7344b60cf3fa66e7', '2396cd34c407ff77', 'f9890924ad99a82f']; context = [[50, 81], [25, 57], [133, 160], [84, 111], [2, 33], [119, 149], [48, 76], [21, 53], [10, 39], [19, 50], [97, 127], [42, 73], [71, 103], [72, 103], [76, 108], [19, 48]]; loss = 0.013026 low_pass_filter = 0.300
+Epoch 0: | | 4239/? [44:28<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4240; scene = ['b853f60b6a4e99b5', '5ec3a6e7baf76b0e', 'd051d5f10665fa3f', '7c69cd73707b1460', '5335d77c5e1679e6', 'f69cf3d96e7cf8f8', '7fc314c58433af8e', 'df1d50ec315fdd41', '1b8140d406d557a7', '3c943f6c213163d3', 'cd79d0de91d6c322', '6dee367037a10e4d', '1c6110bfabe7831a', '4439e4423360c42c', 'bb7e7bc809e2d50d', '408a5b93c016b9fb']; context = [[76, 107], [15, 47], [10, 40], [4, 33], [80, 109], [15, 46], [34, 66], [50, 79], [0, 30], [131, 161], [56, 87], [61, 91], [36, 68], [17, 48], [154, 181], [43, 71]]; loss = 0.015153 low_pass_filter = 0.300
+Epoch 0: | | 4249/? [44:35<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.000,train step 4250; scene = ['bbfc8f15f6a23e15', 'e050c501434635a6', '1589e0b2e2f6bc28', 'bab6e161cce58a69', '30a6aca7316e78cf', 'a9bf0c42f14c8e5b', '6ca6dc6c2deea07e', '2c724397e19d3bae', '76f1441716f1db7d', 'ddda5b9b27235816', '8fde54714a0b6a60', 'aa13dc482af1ef23', 'b9fcfce6eb7f9f01', '412a23db7d841386', '0c19e54f2f616ec7', '1aba0d64c90adb46']; context = [[155, 187], [119, 151], [37, 69], [133, 165], [64, 96], [118, 147], [44, 72], [0, 28], [67, 99], [2, 34], [24, 53], [118, 148], [59, 90], [49, 80], [0, 31], [49, 79]]; loss = 0.011858 low_pass_filter = 0.300
+Epoch 0: | | 4259/? [44:41<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.000,train step 4260; scene = ['e3039931ad850b3b', '5fd67c044c52bf60', 'cd2d5446f028b0dd', '5842e873b4db1cbc', 'f3a111078caa8465', '0299fc8029037ddf', '145f629d9977445a', '28be4c2b9208df0d', '80c55d2356cf1eef', '1523ebad4743e050', '0a84e7f52f375aec', 'b24872c1e1799242', '2f20605bea9eaa86', '4fa6193d6c4a7a33', '771b0509f7a5effd', '4a60d56fc171fae8']; context = [[42, 74], [56, 83], [86, 118], [44, 72], [67, 95], [4, 36], [114, 146], [30, 58], [57, 84], [107, 139], [1, 30], [0, 28], [60, 87], [78, 107], [20, 49], [47, 77]]; loss = 0.012949 low_pass_filter = 0.300
+Epoch 0: | | 4269/? [44:47<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.000,train step 4270; scene = ['fe389d965307b43e', 'f5555cb7c50f4cc8', 'dc4f4eeb518621ba', '542a17e17282b837', 'eb5bb02bc048311b', '1a8ecd4c1b802e5e', '91fb18afb0b2b05a', '9cc7f300dbd2b155', '1fd8f49dc1856d19', 'de479f6a023d7c54', '4ff700fcc3295022', 'a682a39c56aa7299', '624baa6ea21a2be9', '06a891389b1fb8c5', '4ca08ed9abd6d4e8', '2aaf84176521c42f']; context = [[17, 47], [201, 230], [6, 38], [55, 86], [10, 38], [20, 51], [1, 29], [150, 182], [63, 90], [64, 91], [1, 32], [0, 27], [248, 278], [16, 47], [38, 68], [16, 48]]; loss = 0.012066 low_pass_filter = 0.300
+Epoch 0: | | 4279/? [44:53<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.000,train step 4280; scene = ['11ed455a4973e425', '68f11ba3fbf25d0e', '1a5f05ecf38c8ace', '211c877222e64976', 'fc7fbf683160c6ac', '68a4fe5d83bcaa60', '495b8db932e5b9a5', '6e9be9d2846269aa', '63cf8013b255e790', '73252df4f30f4e5b', '7b099c0111bbb660', 'ec38cf01a5678d95', '7399298621aa9bd5', '30cf94f32f17ce24', 'aa808c360df74d94', 'aa184ccff3e3dc0a']; context = [[36, 66], [35, 63], [8, 39], [25, 55], [45, 74], [88, 115], [51, 83], [9, 36], [4, 31], [61, 93], [23, 50], [96, 127], [147, 179], [160, 190], [63, 90], [92, 124]]; loss = 0.013308 low_pass_filter = 0.300
+Epoch 0: | | 4289/? [44:59<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 4290; scene = ['bc8608840a05c70c', '27653232d3379a9d', '4c8ba880158eec5b', 'f578855ac0941a4a', 'ac603e15d0daa94d', 'bb93cd27d7051f75', '798682f477023581', '4d6b988aba86d239', '0a0271d981ead75b', 'fb7276f92ad63407', '8e9d9dc15b1707b0', 'fdac21a86c2a1ef3', '7b95b1f65f0d8687', '0300f87d2ff368b2', '8a0a93588ccdfbd3', 'd3711836cd0fac50']; context = [[9, 37], [1, 31], [3, 31], [2, 30], [1, 32], [12, 43], [72, 102], [26, 56], [56, 85], [55, 83], [37, 67], [15, 44], [145, 177], [18, 50], [165, 197], [74, 105]]; loss = 0.010002 low_pass_filter = 0.300
+Epoch 0: | | 4299/? [45:06<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.000,train step 4300; scene = ['b233ce84c946d4f8', 'c7f44d3eb4c3eb43', '7a295c909bf77704', 'ac0b15f81f34ea22', '518e41c6040a9783', 'f4e703d23e3cd7b1', 'eb07f2be65cd3ef9', 'cffffa4c0548a72d', 'fbc3668b9e73950a', '8e3dfce25f2d216a', '144913b1e5d43257', 'df662bb3e944a8db', 'a5a8e6a3d35a22c8', 'bbcc18ce68c1bcf2', '51a5009f56cb9674', 'c40d15d6fffefbc7']; context = [[96, 125], [46, 77], [23, 53], [78, 110], [72, 104], [13, 45], [11, 43], [125, 157], [33, 60], [101, 132], [57, 86], [21, 49], [50, 77], [191, 223], [128, 155], [33, 61]]; loss = 0.009644 low_pass_filter = 0.300
+Epoch 0: | | 4309/? [45:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.000,train step 4310; scene = ['c78a86f98b10dc29', 'ced9f02e97cf5b4e', '621342756f23f5f7', 'd70de8275a779d95', 'fa17a491863c5475', '0611543dfbc64bc2', '3806cc2e286a8592', 'fa554f73ac241a57', 'ae7c80a778d247b0', '3fb230c591c1ba92', 'bed32aee0050abd0', 'b97b452e2887463e', '523c819329683e4c', '43297e0c74c63a14', '042c8ee300f52641', 'a6cd9e57513d0f5b']; context = [[9, 41], [6, 34], [24, 52], [16, 46], [19, 50], [28, 55], [54, 86], [3, 30], [23, 51], [12, 42], [40, 70], [32, 59], [163, 190], [175, 207], [9, 36], [39, 71]]; loss = 0.012958 low_pass_filter = 0.300
+Epoch 0: | | 4319/? [45:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.000,train step 4320; scene = ['57175f0ed3caaab0', '3bbe67a40f903aa2', '0cffc79651746ff3', '666bc6592852466e', '04c91df50afd1792', 'ed41dd96081cbfd3', '8098a4b5e731a973', 'ad6f19259e566310', 'b82626b72a875d21', '46ecb89a64c0c1de', 'a9078505733cf9d7', '7a9005af7c4d4d0e', '00eb40d5943d736e', '96ce5de416a83b88', '21b9ab8241a464ef', 'ed0a1cc02c8e4c4c']; context = [[131, 163], [7, 37], [73, 103], [55, 87], [39, 70], [2, 33], [10, 42], [160, 191], [11, 42], [164, 196], [43, 74], [29, 57], [7, 36], [4, 34], [31, 59], [36, 64]]; loss = 0.015234 low_pass_filter = 0.300
+Epoch 0: | | 4329/? [45:25<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4330; scene = ['57809e7762607040', '908ebbb6694782ad', '56c4bb0072ff2d07', 'e3ccb4844e5a7606', '3475faef8773695c', '9bae98eb98dc2337', 'a45555d2f55ced45', '513ab1107e3d6b47', '9b2df5fd2d1202fb', 'a2b22d6c09056b7f', '06167d62e6dae9b1', '78ee4fc730f480f7', '6b9db893e23474dd', '29283bedb1017665', '4ab2f39dd49c4504', '5951af157af185d3']; context = [[42, 70], [101, 128], [191, 219], [22, 54], [90, 120], [103, 134], [185, 215], [12, 40], [0, 31], [0, 27], [58, 90], [44, 74], [37, 67], [11, 43], [34, 63], [30, 60]]; loss = 0.013835 low_pass_filter = 0.300
+Epoch 0: | | 4339/? [45:31<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.000,train step 4340; scene = ['05eed8ae0ceee055', '5bfc07e208fce700', '8bb6a52eb7546b9e', 'f37cf46fe1969cfe', '6c03ecd2106e542b', 'fd8c58805a736806', 'cb7969e3c014c447', 'a5a65324d2c3e20f', 'e25fdd12f8ddbe42', '99b8d16252e8bf6a', '1fd3d6918b5f5e32', '16e92460b0a30c1d', '2512655496873dd9', 'e82f04c31c257d70', '06ad777bfa7631a4', '5578bed0fb36c89c']; context = [[78, 108], [28, 59], [67, 98], [89, 119], [151, 182], [228, 258], [17, 44], [34, 66], [5, 34], [24, 53], [10, 39], [35, 64], [29, 57], [73, 102], [136, 166], [19, 50]]; loss = 0.009536 low_pass_filter = 0.300
+Epoch 0: | | 4349/? [45:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.000,train step 4350; scene = ['b50db208d7cd6716', '75dbfc530d974dcb', 'd02a3913658cc9f0', '605af6b8d187a223', 'ed36c1f77ea54921', '80a3ae42fa01f8c7', 'd9ce36aa8de182bc', 'dfa7a182916c12e1', '3f1ba6d26920ff8e', '64082c7dc15fa79d', 'a9bf3348f1e83705', '8d6d63fc0319773d', 'd347f976ced5d74c', 'ede92a46c8dd0f52', 'a943ba6f8905b420', '8cff663bbb394999']; context = [[40, 68], [11, 39], [34, 61], [24, 53], [24, 51], [30, 61], [205, 233], [35, 62], [115, 143], [55, 86], [96, 126], [134, 162], [43, 74], [23, 51], [56, 87], [92, 120]]; loss = 0.013061 low_pass_filter = 0.300
+Epoch 0: | | 4359/? [45:43<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4360; scene = ['7fe1c7ffa6d39553', '52004686b48e29f3', 'f2132aa929026299', 'f9405ea3b4084c33', '7cfad9304d304a1a', '3691359ea56c00a9', '03489f334856d47a', '45f3a4d8c751c287', '084d516d1d8aed07', '64f7269d99fdaacd', '6535abc5fdb5b232', '8aa531490595fc1b', '2ba4d5c0fdbbb755', '2264c570151d3eb1', 'a1194953642b874f', '0b3a9c304d2aca3d']; context = [[121, 152], [65, 97], [35, 63], [146, 173], [62, 91], [15, 44], [57, 87], [178, 209], [209, 241], [21, 51], [23, 50], [51, 79], [31, 60], [92, 120], [14, 44], [171, 199]]; loss = 0.014710 low_pass_filter = 0.300
+Epoch 0: | | 4369/? [45:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.000,train step 4370; scene = ['4138ec075d5e0fa8', '1c697e1b376ee31e', '2e9fd009632a1bf5', 'f646551e454cd501', '1b98355278b3ca52', '28bb7b161e83ed60', '4fce6c47c4c214d6', 'c62b839c1b99274d', '1008647325f7f5b5', '1213665a8be72518', 'aacccbcbc0722240', 'eb61796d301ac994', 'e1d6178ea1fe6d44', '98b8e9f58887b2c8', '2147da0f465a3566', '9029d8d8f6f0e98a']; context = [[53, 85], [89, 120], [12, 43], [39, 71], [35, 63], [68, 99], [72, 102], [12, 44], [7, 34], [1, 31], [26, 56], [50, 80], [27, 56], [4, 34], [22, 51], [95, 127]]; loss = 0.011299 low_pass_filter = 0.300
+Epoch 0: | | 4379/? [45:55<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 4380; scene = ['4a6092a27f74cb4e', '38ce8373de250943', 'f96e2330b2ce9910', '8b4c5afff771fc3b', '366c23d4d72ed2c4', '78473962153fefe5', '4c2140539aca9988', '49a5dd8a112fa073', 'eff3cec8a8ad0b19', '48168fce6cb19de6', 'a376eeb2a6b48b9c', 'fbf26c42fde22f42', '0db45743986b5100', '41f86e86aed4d978', '8cd39b3cd14c6411', 'bdec1b187ae56101']; context = [[2, 30], [13, 43], [66, 95], [13, 42], [79, 106], [0, 29], [1, 30], [14, 42], [110, 142], [71, 101], [8, 38], [27, 55], [57, 85], [65, 93], [7, 34], [32, 61]]; loss = 0.013467 low_pass_filter = 0.300
+Epoch 0: | | 4389/? [46:01<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 4390; scene = ['f13e60a7684a798b', '2a7a65c998d56be7', '8de516bd1928f1cf', 'c391c8fad43fdc03', 'a6e6e86f6d4c0e90', '745c1172a0e6f030', '981396abde688148', '0f1cb2c833e548e1', '2eca62a782bb02c8', '10c593c198cefb14', 'c4b27a45d91f3791', '0b3eedee850521a5', '52ce0cbf5e3aa419', '7d2b086b7bfb58af', '9fd2226f90eab8cf', '76b29d13a1a25fe4']; context = [[1, 33], [116, 143], [77, 107], [18, 47], [81, 111], [8, 40], [43, 73], [30, 57], [30, 60], [37, 65], [36, 65], [21, 48], [53, 80], [200, 229], [194, 223], [50, 82]]; loss = 0.011621 low_pass_filter = 0.300
+Epoch 0: | | 4399/? [46:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.000,train step 4400; scene = ['9151720411a52081', '05578300751eb070', '4795f3164af3226b', '482c01e057fdec27', '78b4a3aa2803aeb0', '366116fb5e37ca12', 'e81bb19585fda98b', '3afec4710e95e6db', '1043af708de5a840', 'b4876f461a40631f', '41f5163f4425f3f0', '9ae904981efc4ab1', 'ac8756d6c28dab96', 'f53ba88600fc1d74', '41320ad766f5ee64', 'd9aad93b7c670519']; context = [[80, 112], [11, 38], [6, 37], [129, 158], [97, 127], [3, 32], [85, 114], [49, 79], [15, 43], [3, 32], [41, 69], [29, 59], [33, 63], [79, 111], [24, 51], [134, 161]]; loss = 0.011925 low_pass_filter = 0.300
+Epoch 0: | | 4409/? [46:14<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 4410; scene = ['7eb469a50ba1bdba', '99a9fd6e00e149cc', 'ff75d3f7963cdb40', '215582bd3fed4d11', '616b7c2d27e4aa72', '89e1949d499596eb', '9aecc2625941cf16', '2d212482d640ed4c', '1f3f484a027f93d9', 'e7bc3ad0f05e8975', '556108665fc7b970', 'f73db02fdfe72073', 'a4dac014557e25f2', '0095b1bb592abf6e', '170c909cf2cb0451', 'e97b09a6783c26ce']; context = [[38, 65], [6, 34], [32, 61], [165, 193], [18, 48], [208, 235], [6, 38], [212, 239], [71, 101], [107, 139], [55, 86], [35, 64], [48, 77], [79, 107], [64, 93], [48, 77]]; loss = 0.011254 low_pass_filter = 0.300
+Epoch 0: | | 4419/? [46:20<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.000,train step 4420; scene = ['bb36dd0e45474503', 'f5c90024e0c40fa8', 'e17790b2f36e4c30', 'b3762e6eada7c909', '22ca83423c4a8c9c', '3a37a1b2a1ea13f8', 'd124663c9b0bba5a', 'd8b5c23a498b8ae9', '526189d3fab5d4e1', 'ab5ed6624644f825', '9825644a9714109d', 'a70416aac11a6d6a', '130a43d1e4a843c3', '7bec1fe1236ba09c', '2e85efc8084d5ca8', '90b386235765d7e1']; context = [[7, 36], [10, 41], [4, 35], [11, 38], [23, 50], [132, 160], [26, 54], [22, 52], [74, 106], [46, 76], [92, 124], [29, 57], [4, 32], [64, 91], [4, 35], [98, 129]]; loss = 0.013243 low_pass_filter = 0.300
+Epoch 0: | | 4429/? [46:26<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4430; scene = ['8418904f8ae211a7', 'dc1c3e901bbdd1b5', '5d128926c1792da9', '4a4c7ec072d5e873', '7d38d8fbf560e9cd', 'c15c9a0f2ad3e52d', 'dd0858e9a430e078', 'ce18576673ebaf58', '46b601b2cd66dc44', 'c232622462aa0ff5', 'bfdb137e49125650', 'fc98a128fa918536', 'ed812d61801c31d8', '3edb0e0b6f23e2d1', 'b41d2c3425b758cd', 'af9b4afe1833b244']; context = [[10, 40], [4, 34], [77, 108], [28, 60], [12, 44], [20, 48], [80, 110], [16, 48], [95, 125], [97, 125], [151, 180], [36, 63], [10, 42], [127, 157], [79, 111], [34, 66]]; loss = 0.012358 low_pass_filter = 0.300
+Epoch 0: | | 4439/? [46:32<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.000,train step 4440; scene = ['703b164f3bce65d1', '94d38ad362314bbe', '5572fb835bbc97d6', '60454705a200f9d9', 'c636ea40772e539f', 'f4a0645f7254a5fa', 'd090bdf09e174829', '33d8c1a4053c0af6', '50d330f3a08805ac', '914a2a719cc88175', '8a8e389378f42dd7', '880e7819f343c5a3', '6c31b1dc128b49d7', 'b5dfd6a33604ede4', '46b932fc6f061d63', '0f3d070f4b358f54']; context = [[74, 103], [9, 39], [234, 264], [17, 46], [22, 49], [8, 40], [104, 134], [84, 114], [8, 37], [74, 106], [73, 105], [123, 152], [219, 247], [81, 113], [74, 106], [162, 189]]; loss = 0.011082 low_pass_filter = 0.300
+Epoch 0: | | 4449/? [46:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.000,train step 4450; scene = ['8234e036ca5e340e', '16fb70354ab23537', 'bccf9a3c137d10a0', 'e4cf54f3d79d3f47', 'b913ee29a9954d95', '1675958d1a94603c', 'ae55f82e5c275523', 'a02173ec86dae4ba', 'a168eb962c3df37e', 'fb51740f9f91aac7', '0f6c4e8f67bfa0ee', '537f0b57f895b038', '9899ad035dd9c665', '2b141c0433cc5039', '91147b6e8047c8c8', 'bdbd0d543a3901a5']; context = [[6, 38], [11, 38], [25, 57], [23, 53], [9, 37], [12, 43], [36, 65], [9, 41], [48, 79], [36, 64], [7, 34], [172, 204], [211, 238], [33, 64], [22, 52], [113, 145]]; loss = 0.011529 low_pass_filter = 0.300
+Epoch 0: | | 4459/? [46:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000,train step 4460; scene = ['ed71bd2e9361f16e', 'a3ea131bf17afb9a', '1c2a649eebbf909e', '7a46f3a1073a44ea', 'cc0b9f33d4d1104d', 'c385decf2b235907', '0f7f10a38a970ccc', 'e888e5cc7d09557f', '2b6a6cb33bc7fe24', '4ed4de63f50502a7', '239ee85d525cc9ec', 'a7c24f60f1640de7', '7d143a7b55d767ff', '9070088e9e97aab5', 'a13d6561db213baa', 'baa2a5d68eeef99e']; context = [[28, 58], [157, 187], [81, 108], [105, 132], [4, 33], [14, 42], [3, 34], [141, 173], [3, 35], [11, 41], [2, 33], [49, 81], [18, 48], [5, 36], [95, 123], [1, 29]]; loss = 0.012550 low_pass_filter = 0.300
+Epoch 0: | | 4469/? [46:51<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 4470; scene = ['10f06c35440e8272', '1ae55eaa9c1fa1bc', '9932456c01feb34e', '87b7a125feafd7e4', 'f78559d07247a361', '9705991bc10bdd2b', 'a0a1844c5e12099c', 'ee1b11a998105ff1', '658fd2565c2cd3bc', 'c9f16c5c526ddbcd', '5ab84da28337a82e', '7e8e4fc21d873b5f', '02ea4129dd5d7b3d', 'c7429dda9e108a54', '2f0b59c1ffe70cc2', '1e97fe5dfd5c79a7']; context = [[113, 143], [30, 62], [1, 32], [61, 92], [161, 188], [0, 29], [27, 55], [8, 35], [7, 34], [4, 35], [28, 59], [3, 35], [48, 80], [40, 71], [79, 111], [17, 46]]; loss = 0.010606 low_pass_filter = 0.300
+Epoch 0: | | 4479/? [46:58<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000,train step 4480; scene = ['e09f956b0bc2a83f', 'adb9530a4e81c61d', 'ceaf8911d4dd084f', '364a277584a5b402', 'eadc6a24e965d9bf', '435a0d7de394f31a', 'df9bdab6dba55843', '66f1ee8947aa78cc', 'd29cebacd447f974', '412c2b6464c03f59', '970c7058fc9ed14d', '4f515c197a061a67', '39a56aa5e7a8b4e4', '5be49d95910cc25e', '0565bd311bf73bbb', 'c0a9ec5652b3e326']; context = [[10, 39], [11, 43], [33, 62], [113, 140], [6, 38], [115, 142], [11, 40], [16, 47], [29, 59], [99, 131], [73, 100], [112, 141], [24, 53], [29, 60], [19, 49], [29, 56]]; loss = 0.010289 low_pass_filter = 0.300
+Epoch 0: | | 4489/? [47:04<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 4490; scene = ['c7e15ed240932cdb', '4dbd4b04438f36a0', '5c0810327cc1dc24', 'fa86b6f1bef5e70d', 'f892180ce384dc30', '0221739dc5e25cfe', 'a5289863381a3805', 'd2d9ffc5fccc5aa4', '0d7d9998e082d3b5', '2bc8b64aafc5870c', 'a1d1c182d3b2ee90', '2578cd7cec8068b4', '850fe18254e517b4', '0a2b30f8255c2a93', 'ab78b3eb64029b73', 'c9266f8b6968ca51']; context = [[2, 33], [174, 205], [37, 64], [91, 119], [28, 57], [21, 53], [56, 86], [13, 40], [75, 107], [188, 215], [35, 65], [68, 95], [40, 67], [3, 33], [81, 109], [8, 35]]; loss = 0.013918 low_pass_filter = 0.300
+Epoch 0: | | 4499/? [47:10<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 4500; scene = ['46f85dc85be547ba', '6de42437144a0304', 'b7a14012ca652f07', '5ac9dbde9cf64eed', '2a61433c583f4052', '08c09a60291a2f5b', 'f4286518f13f9e65', '8663eb32379fcd45', '43c617b1ffaffd39', 'd715711625070e85', '7c94ad911e2fd023', '262e52b03eceb5c9', '4b12a530a5ab03d0', '6e4b984075d9d0be', '5d50f21bfe94df8c', 'a1d20c059e8f4779']; context = [[89, 117], [204, 232], [103, 134], [21, 51], [35, 66], [36, 63], [58, 90], [4, 32], [26, 57], [100, 131], [84, 116], [113, 141], [43, 70], [50, 80], [43, 73], [5, 34]]; loss = 0.013531 low_pass_filter = 0.300
+Epoch 0: | | 4509/? [47:16<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 4510; scene = ['48366367a5fdb244', '63fa54e068bf95ff', '8386e000058b5adc', '11fb88a773d40b0e', 'c358c22b6dacdaef', '9eb26a1771bdc736', '244f77df7b4aeb64', 'a1d3f2e765955d2d', 'e0ca570de3d5244f', 'e724e954dca8ada8', 'a677f7099c189184', 'f38d65464a5edac1', '08995d12c844a39e', 'a5989d5f9f66c05e', 'aee572e41e752b1c', 'ec193bda727a0e1b']; context = [[0, 29], [111, 139], [39, 69], [22, 52], [39, 70], [11, 40], [42, 69], [116, 147], [23, 51], [124, 155], [35, 66], [16, 47], [39, 70], [30, 58], [164, 195], [79, 108]]; loss = 0.011432 low_pass_filter = 0.300
+Epoch 0: | | 4519/? [47:22<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.000,train step 4520; scene = ['bc8bd4d61ba89a19', '822759abe70b44ca', '4b3e3c88a56df0e4', '73825b627149fe38', '9ee25bf8dc251d98', '369361af7490b680', '08609585cb84d56c', '0b5b1f3349ff1e59', '30d1d975d1cd4520', 'e18c61af3f701333', '0574e4b3cec91762', '549614ec15b27f04', '9659ebb0e3d27d12', 'fee17ef6e7969ea8', 'adbe99ce86fde630', 'aaff435fa8ad71c2']; context = [[50, 78], [98, 128], [37, 67], [182, 213], [141, 171], [15, 46], [175, 203], [27, 56], [94, 126], [10, 39], [24, 52], [61, 89], [49, 78], [32, 64], [42, 69], [118, 149]]; loss = 0.011406 low_pass_filter = 0.300
+Epoch 0: | | 4529/? [47:28<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.000,train step 4530; scene = ['0db45743986b5100', '38ce8373de250943', '1d42580b8d7be6d0', '4a6092a27f74cb4e', 'f96e2330b2ce9910', '52ca0e96b0cca020', 'eff3cec8a8ad0b19', 'b3ad12ae1d47cc80', '87b1c7b098739af5', 'e0c8479d9bad47ee', 'c12a1f3bda8f533f', '7a6899ae0fe7b2e1', '1b3f09d0f408cdc6', '3de6688abdf5ef5f', 'e98d838758c7b400', '32e8c162218922ad']; context = [[47, 78], [5, 33], [39, 66], [56, 84], [147, 176], [132, 159], [26, 57], [20, 50], [15, 43], [75, 104], [10, 38], [76, 106], [215, 244], [13, 40], [8, 40], [32, 59]]; loss = 0.009705 low_pass_filter = 0.300
+Epoch 0: | | 4539/? [47:34<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4540; scene = ['bb9122703d0446ac', '25eeae41506761c9', 'b5d098785d0e61d4', '617bd94137b51919', '8ef58a226c35f66d', '98c577bfe33e4dbb', '512ea563cd8f70ca', '5f9233c447468e7f', 'c8c6422d189d4ad6', 'fc2d3a58438fd3dc', '42c9123eed4afae8', '5ffeeee17ea500c7', '9467e5885839c3ef', '8db59da4458703d6', '5950349e32174ec2', '27a2c372be78feda']; context = [[44, 71], [3, 34], [1, 28], [14, 46], [140, 167], [66, 98], [1, 29], [41, 69], [27, 58], [6, 35], [1, 28], [0, 32], [20, 47], [48, 80], [22, 54], [43, 74]]; loss = 0.011702 low_pass_filter = 0.300
+Epoch 0: | | 4549/? [47:41<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.000,train step 4550; scene = ['aa809e649155f86f', '29caaff58a530496', '9bff32f6dc3defea', '08f02e7ec7dd69da', '809658c303767e17', 'a3a5884addc0279a', 'c2c54fc36968cda8', '124e818bc6629165', '979258bec9c70a3a', 'b6e89f7809809f76', '3a89f41e5980d3f8', '9054ce433694ecb3', 'fea5962ba2801a13', 'cb737f7107cee760', 'd351ba344c572b7c', 'ba404e516886a7e9']; context = [[191, 220], [4, 35], [2, 29], [94, 123], [3, 34], [32, 62], [33, 63], [86, 115], [59, 87], [4, 32], [28, 57], [21, 50], [104, 134], [77, 107], [57, 86], [0, 29]]; loss = 0.012087 low_pass_filter = 0.300
+Epoch 0: | | 4559/? [47:47<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.000,train step 4560; scene = ['c06dc1d24e73b1b6', 'a508ee63269e07be', 'b6cc5bc6ed31f2a0', 'bd65472b54f34717', '233dc4174425622c', '7d9927959e97ee1a', '75d62d0707d1240e', 'e68962be9d5fa78b', 'bbb9d583807930d7', 'c8b2e4d3f9fe541a', 'f8ff67683c2323b8', '8062e068d364879e', 'c098a117d37c1b11', 'dfb585600cfa6d6e', '070e03b0709a0c7a', '1ebcb2adf17e7fcf']; context = [[111, 138], [33, 64], [63, 90], [87, 117], [38, 68], [6, 33], [160, 188], [9, 39], [134, 162], [125, 157], [167, 196], [19, 48], [221, 248], [233, 260], [78, 109], [120, 149]]; loss = 0.011838 low_pass_filter = 0.300
+Epoch 0: | | 4569/? [47:53<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.000,train step 4570; scene = ['355663af90d2391c', '9b08e398d3978550', '8e178e5791592e45', 'a09912f76919c58d', '42b6210318e504de', 'bdcf63d0e401dba9', '8309dedf60ef56c5', 'e05964b2d09ba2b9', '14c18b3853eed06f', '7dd3394cb3908cef', 'd2f6501e51fda88e', '7159d6505aa199b0', 'f91d97a02869cbd5', '5d00a543f59ea3ab', 'c0866648804899eb', '56f95247e77bedc3']; context = [[10, 42], [4, 31], [17, 48], [99, 129], [0, 30], [3, 34], [2, 33], [95, 124], [2, 30], [10, 42], [55, 85], [31, 61], [44, 72], [39, 70], [9, 36], [95, 125]]; loss = 0.013287 low_pass_filter = 0.300
+Epoch 0: | | 4579/? [47:59<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4580; scene = ['fb5aa8d8a45edf21', '33f684f25c084fbf', '941efd0cb07b15a8', 'ffe6d2b64af58da7', '131ae53ccea8b6bb', '2151d155433a24b8', '617def8550442d20', '4d37415c5fff395b', 'aec362125b51a0eb', 'bfbed04ac874444c', '43948e3fd4685146', '9a6d229b5e17f15f', '5b93d87808d0588b', 'af4c3213f2d7c811', '6287d38e05cac533', '326dd7b41ce515ac']; context = [[14, 41], [85, 114], [28, 55], [74, 101], [13, 41], [57, 85], [45, 75], [41, 68], [38, 69], [118, 148], [57, 86], [31, 63], [118, 145], [13, 45], [0, 28], [18, 46]]; loss = 0.011961 low_pass_filter = 0.300
+Epoch 0: | | 4589/? [48:05<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.000,train step 4590; scene = ['4f4de276057b80fb', '4d173eec2e6d8ed9', '748207cebac4e4b1', '4fb0473244eb42f3', 'fe20982cb46ccdfc', 'd6078f5174cedfe0', '609699a2c888289a', '45faaf812e4accaa', 'e31f45e94eda4cf8', '9cd453465b518dea', 'c55911a4729c28ec', '0f7b7f2fa681811a', '38a709b9a18034bf', 'fa957196fd3f3d44', '73defeeacbffa502', '0f34ce3de82dd553']; context = [[1, 32], [0, 30], [106, 137], [24, 56], [28, 56], [23, 51], [24, 55], [51, 82], [41, 73], [64, 91], [59, 87], [4, 35], [3, 30], [28, 58], [1, 31], [69, 96]]; loss = 0.016271 low_pass_filter = 0.300
+Epoch 0: | | 4599/? [48:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.000,train step 4600; scene = ['0cb502b3362f80a0', '7a915db6a6bfc2dc', 'e8dd58228cf4436f', 'c4c25091ecc2c5e5', '7323ab189056fced', 'fef48b769b17f0ed', '58986312a7033ed0', '4f7d9469caae5405', 'e6d6d65b924b0725', '637c69ba9a6a77b9', '6e9a46ecd30a00e4', 'b9183c40d08298e5', '7dd9793f5c5660d2', '4fedc0806ed3bf28', '54bce673f9455dbe', 'e18ed4f5ab01e21e']; context = [[3, 32], [18, 46], [83, 114], [131, 160], [29, 59], [100, 127], [191, 223], [32, 64], [164, 192], [19, 49], [5, 37], [49, 81], [154, 182], [21, 53], [11, 42], [33, 60]]; loss = 0.011478 low_pass_filter = 0.300
+Epoch 0: | | 4609/? [48:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 4610; scene = ['b6bc2793bbe942c7', '57bdd8129114cd12', '772a9e2837143879', '74f756488e4bf083', '0d2d29c29d1eed43', '8545a7dbac646463', '55bcf94139afa5d3', '151011dd7f7308f1', 'cd4a9ef6996aa077', '1a5e6471450b1c0d', '506a4923b974a1e7', '2cf3128084fef21e', '65065fb29e9fade1', '896a5721e7a26b4a', '8b8f2201562b0eaf', 'cfcf43d0c82993da']; context = [[36, 67], [48, 78], [31, 61], [57, 85], [61, 93], [45, 76], [128, 155], [1, 29], [67, 96], [79, 110], [0, 28], [30, 59], [74, 102], [64, 93], [25, 57], [86, 115]]; loss = 0.010994 low_pass_filter = 0.300
+Epoch 0: | | 4619/? [48:24<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.000,train step 4620; scene = ['14eee9b40f6a4373', 'b1d8acd65ca26c50', 'ea5ff365e3c72e1a', '8f66b180ab339f01', 'dc9e32ec34b058aa', '9fa10cc1b8441d3f', 'c7d468e8e326bc67', 'df4487db098d93f1', '25dd017c409dc6ff', '9af39f3dadb1471e', '5a38b8d664c399f4', '270ec2d099edfccd', '69029690713e2555', '06e9f26b5f803220', '9244ece752e135b3', 'b0139ba67c176260']; context = [[180, 208], [80, 111], [31, 59], [31, 60], [88, 120], [38, 65], [7, 37], [26, 54], [136, 168], [1, 30], [26, 58], [123, 154], [71, 98], [77, 105], [21, 52], [42, 72]]; loss = 0.013959 low_pass_filter = 0.300
+Epoch 0: | | 4629/? [48:31<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.000,train step 4630; scene = ['730b321f2c6497e1', '242cda114fd10fd4', '4375b6c6ed3f072a', '1a4a70d73a62334f', '96511adf959795aa', 'fcb9315dc0c2363f', 'bf78e74b9709529e', '0e85f9c3973b1102', 'b215bd4e6fb3908e', '7c4216f5c1228f5d', '7b371be1f5174844', '855462aca11242cc', '8be3a9f4149545b6', '5960b646542df055', 'f0dede73d7704d1f', '1a314c79785c4dfb']; context = [[56, 87], [19, 49], [183, 211], [5, 33], [85, 117], [6, 34], [18, 48], [105, 136], [115, 145], [43, 70], [27, 55], [87, 115], [80, 107], [5, 36], [49, 80], [61, 92]]; loss = 0.011703 low_pass_filter = 0.300
+Epoch 0: | | 4639/? [48:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 4640; scene = ['4d352f1f3d457919', 'ede200d8e3ed570b', '0936ae04b1b95f1f', 'df80779cfff33170', '85e226223d1d045b', '53fd05a1f24da0b6', 'a508ec7fbde00d1a', '2bbb6e260fff96b7', 'ec740dac79f473bd', '911d68b78781f3a9', '6a211ff7d9fd2195', 'faf7b50488fc7fc2', 'e63ecf08e037ec9b', 'eaf376da1a87aba1', '6efb721d33009880', '7161a4fca014d00f']; context = [[28, 57], [60, 88], [26, 53], [7, 37], [112, 141], [17, 45], [19, 46], [5, 33], [65, 95], [62, 94], [39, 67], [32, 59], [61, 92], [100, 131], [0, 28], [15, 43]]; loss = 0.012712 low_pass_filter = 0.300
+Epoch 0: | | 4649/? [48:43<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 4650; scene = ['a2f5259808115926', '5807633aaa24e315', '53d0ffdbf11b4c43', '55b05c9caa5f4d52', 'f26265876d49f8eb', 'c56fd76f9112e79c', '930445560df8678a', '195fc11ccfc6373c', 'c57e6a4defebacff', '2024b4f262746dd9', '9a5ec225cc655d4b', '2558560e4ba11930', '1715b52a913b953a', '8888284d5842e20d', 'd0e5375ea13f7b31', '783a62439d03c764']; context = [[37, 67], [46, 74], [59, 92], [34, 62], [29, 59], [16, 43], [58, 87], [27, 54], [82, 112], [16, 45], [69, 99], [34, 65], [161, 189], [19, 48], [46, 75], [38, 65]]; loss = 0.013114 low_pass_filter = 0.300
+Epoch 0: | | 4659/? [48:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.000,train step 4660; scene = ['32f1db59163dbbc6', 'e767e1623adf0471', '622415481d35387b', '0f7730277fc0ed26', '386edda973505b9c', '58c3d4b20c0af4b0', '6e12e46a273ddb93', '8c118dc21586b065', 'ee93d0c6e61bb08d', '2bf91de5cd028c93', 'c96068ac4bae306c', '2180488eec77f962', '013c0dd9d0f20a96', 'c6ebf1a0acc6844d', '4b6cbf1f4c87d918', '86270bfca57f93f8']; context = [[27, 59], [211, 243], [156, 187], [36, 63], [29, 59], [36, 64], [36, 64], [79, 112], [237, 269], [13, 43], [55, 86], [2, 32], [39, 68], [53, 85], [7, 36], [22, 49]]; loss = 0.011646 low_pass_filter = 0.300
+Epoch 0: | | 4669/? [48:55<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000,train step 4670; scene = ['2333e48f8718af8b', '6260a548c92d6bb4', '2f1de0f2c7685312', '970c7058fc9ed14d', '06d7ae344e03de07', '39a56aa5e7a8b4e4', '5be49d95910cc25e', '0565bd311bf73bbb', '78a813c1cdfa752c', 'c0a9ec5652b3e326', 'b172cf5674a8282f', '4191d2b8b0260e8b', 'c2109cda6feb0115', '0e156bcb1766c1bb', 'f80b9ad0e5617bf4', '998951524fe8db09']; context = [[12, 39], [26, 54], [3, 30], [14, 41], [1, 28], [19, 50], [63, 92], [48, 77], [200, 228], [11, 44], [137, 169], [38, 68], [22, 50], [28, 56], [44, 76], [50, 81]]; loss = 0.011855 low_pass_filter = 0.300
+Epoch 0: | | 4679/? [49:01<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.000,train step 4680; scene = ['183191ba211499fe', '969a6b7b65dd674f', '9103f896c98395e9', '5968fddab585c142', '911d711adaebccc4', '92087cd1fe458a9e', '9f3db50376623c8f', '721ecdae6bd08432', 'cd9f22e2ccab8e1c', 'fc5b4b525f9eb8e8', '9bafc381dbe8264e', '6c223569b692fc4c', '69916f6abedac5b2', '6d61d179e5834252', '0902983e76d12d43', '54354a0322534606']; context = [[203, 235], [46, 73], [188, 217], [109, 139], [90, 121], [28, 60], [135, 167], [45, 73], [217, 246], [7, 39], [67, 96], [122, 150], [17, 46], [52, 83], [61, 91], [54, 82]]; loss = 0.014173 low_pass_filter = 0.300
+Epoch 0: | | 4689/? [49:07<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000,train step 4690; scene = ['30c73eeac2721d1e', '740c1fccd9bf4e71', 'bba9c4e1979810b5', '0d8ee00c443dfbcc', '34395b11b2913023', 'e18a4b06e5cb8d8e', '1fbf35024dbf8d68', '693fbf5b514480f0', '40a36a6b415dcae5', 'a0a563271ffc0f65', '06a5584434579664', 'd8b1092e3ee04227', 'b123dd2c895e2267', '7f2487897b9a59ba', 'b679f3152c617803', '2c3832975edda3e6']; context = [[27, 56], [23, 52], [11, 41], [60, 90], [102, 135], [56, 89], [39, 71], [93, 125], [155, 188], [0, 31], [41, 68], [31, 62], [1, 33], [111, 143], [110, 140], [17, 44]]; loss = 0.012525 low_pass_filter = 0.300
+Epoch 0: | | 4699/? [49:14<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4700; scene = ['ff422469e034ae11', 'f7dbc855fd2a7669', '9c4c1ff17afbe356', '5f88e169f1188873', '6b0dd861e1ab1fec', '90c2437a7dce04b4', '79de3ddc432ed0bf', 'e9639b429cbebec9', 'f9642516675928bf', '74f043199f928b24', 'dd83a22ce8d33768', 'cfaaab863238b8c0', '3fa8b5d99c8e3897', '8a749305c8a7a764', 'e9d559d905f9e293', '1c76055afe762ded']; context = [[147, 180], [0, 32], [31, 60], [9, 39], [60, 89], [7, 40], [165, 197], [74, 104], [37, 68], [47, 80], [13, 44], [60, 87], [11, 44], [44, 75], [7, 37], [132, 164]]; loss = 0.011437 low_pass_filter = 0.300
+Epoch 0: | | 4709/? [49:20<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000,train step 4710; scene = ['beca98893cda11dc', '2e47fe7654371edc', '4f3b49c328faf997', 'b11834a0237c89c9', '29d4647c06c7e4c3', 'dcc6c4bc560ac88d', 'af4d90b5286718d0', 'efcd629672d84216', '4577298e935ab57f', 'be60e4b9932e0088', 'c2fa9cb1b2f5812c', '7d06460d5665698b', '1cf7d551e89753c2', 'c9e8eb444e59ea70', '70bea44a967f219c', 'ed428b0ea145da08']; context = [[220, 252], [204, 234], [41, 72], [55, 82], [0, 28], [144, 171], [29, 59], [5, 36], [6, 36], [42, 70], [21, 53], [187, 214], [90, 122], [120, 151], [10, 39], [27, 56]]; loss = 0.009654 low_pass_filter = 0.300
+Epoch 0: | | 4719/? [49:26<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4720; scene = ['e6510eaf44b146c7', 'e382b9bd1bb09aaf', '20234c1500fd5d4b', '6d3d022cd71a6c1b', 'b33892623289ddd4', 'd078b73e18eef725', '26b7958a9c2bfd74', '181442f5a6f77345', 'a4799f7a4cb2fd01', '20ebdd1a00b47e06', '7e9f7d67297a7768', 'f474a94441893d23', '8e2788fb59297024', '314b6d851322d367', '82f71425ef743378', '8fdc497d1fbe893e']; context = [[25, 56], [40, 67], [0, 28], [39, 70], [5, 37], [87, 120], [67, 95], [6, 35], [1, 29], [3, 30], [56, 86], [19, 47], [11, 42], [22, 51], [55, 83], [72, 99]]; loss = 0.012420 low_pass_filter = 0.300
+Epoch 0: | | 4729/? [49:32<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.000,train step 4730; scene = ['12fee7f1978d52f1', 'c95b281ebb1d5204', 'c817f950848090ec', '81b0ef8a758fba61', '1d551aaae4e7bcba', 'c533cd77b9d83394', '0cd6f4841a15ea2c', 'a1320688d26c7fbe', '6da546cc88d60c4e', '9ff58706e510fac5', '104239f3585cef56', '1dd9690bd5cc0fcf', 'b701a44de44e6712', '5f0451faca69a874', '3ba697b94cd6d10c', '606edf61ee190bb9']; context = [[82, 115], [27, 57], [57, 86], [219, 251], [3, 35], [31, 58], [45, 75], [16, 49], [47, 80], [216, 245], [26, 56], [173, 201], [230, 263], [68, 96], [40, 71], [14, 44]]; loss = 0.011788 low_pass_filter = 0.300
+Epoch 0: | | 4739/? [49:38<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 4740; scene = ['e363997ea65563fd', '540c9279a5df9238', '04ca0ba3f07853ff', '10ec327f7de6ac81', '977b59e04db8d8a2', '2971b9437dfaebbe', '13dca51f82b69bc8', '35dea7ca0629d8f5', '0c71ef124468ec2e', '781afbd41e87c025', '27d0b196b2681fd2', 'bf799dfc5a8c8e2d', '9ff828ff643d59db', '6a80f592eccac80a', '5d2be6ffaac37d6e', '13e915d66f8c9bf3']; context = [[45, 73], [113, 143], [1, 34], [69, 101], [144, 173], [10, 43], [26, 56], [6, 38], [35, 64], [19, 46], [49, 82], [108, 136], [241, 268], [35, 68], [111, 138], [160, 192]]; loss = 0.012309 low_pass_filter = 0.300
+Epoch 0: | | 4749/? [49:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 4750; scene = ['46fee8f9d1cbb8d1', 'f6a8eda22762d156', '70709179f81c7844', '55ee1591683fb4bb', '1de70b115c94b564', 'bf3d2ce851c5b70b', '7f0f935534ba381d', '782479430e1462b3', '97399fa3221758b7', 'a9218527a27202f0', '989c98919c961cdb', '6aa7164b09ff6ccb', 'e5b0abe398be6f94', '42c7c30a9d8b0fbe', '04829461484883c3', 'fcf176d504f6568b']; context = [[213, 243], [11, 38], [42, 70], [10, 42], [74, 101], [30, 58], [12, 41], [25, 55], [61, 94], [55, 85], [52, 85], [41, 74], [9, 41], [5, 38], [1, 29], [38, 70]]; loss = 0.013162 low_pass_filter = 0.300
+Epoch 0: | | 4759/? [49:51<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 4760; scene = ['829edc41b1f3753e', 'b01466523e734f6b', '17e26092b16e2f53', '2afa9fb38e8ed969', '86054b6e80f14a30', '75d1f641bdddcbb7', 'abe4316db2a41347', '3d342a39f1e1eb91', '9af4042d9c4882ba', 'd2257433ed472be2', 'd6d813002524c1de', 'a1ab776dff376ff7', '58cb8118a80c0baf', '41cfed19471833e2', 'ec3c3a41bfd736a3', '63824989c3f412af']; context = [[55, 88], [240, 267], [74, 105], [43, 74], [0, 29], [47, 78], [0, 31], [33, 60], [62, 93], [83, 116], [76, 108], [95, 122], [117, 147], [91, 123], [4, 34], [113, 145]]; loss = 0.011641 low_pass_filter = 0.300
+Epoch 0: | | 4769/? [49:57<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000,train step 4770; scene = ['bb405330b65471b8', '813f700434b84d7b', '82d755323ff34251', 'b306732011b00fa9', '03949f3d535d6384', 'fa7006cace6c3841', '91aff6bc8700eb86', 'f593978e69163b6a', '5ac2a4b054c3af89', '89cbee6e1a545e3c', 'baf2bd07d76df93d', '03e2367ca6e441ed', '2824dd170b15dbe3', '25daa0b79515aba5', '7e39808967de46fd', 'e08818e4ab5232b0']; context = [[74, 106], [10, 41], [10, 43], [1, 34], [101, 131], [26, 54], [28, 61], [30, 60], [26, 57], [86, 114], [32, 65], [8, 35], [57, 90], [15, 46], [13, 42], [27, 60]]; loss = 0.014181 low_pass_filter = 0.300
+Epoch 0: | | 4779/? [50:03<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 4780; scene = ['9dff9a317da1d49d', '756a0a00121f53d3', 'e599e584e54fd42b', '214c29d12940696a', 'b6d22d6bd307cc90', '4af0acc8924f8df3', '7111ae9755f6fbb2', 'ce31e33f156aeec5', '1ea972dad8710e4e', 'cdcc58497fc89b85', 'ec719970f17f2eed', '6f515f805a3d2848', 'b7b258cdbcf3f630', '9687e70e5f4eed37', '246c5b6a15519b6d', 'cd62a0a0de875deb']; context = [[88, 116], [94, 121], [9, 38], [6, 36], [214, 243], [33, 60], [147, 177], [7, 37], [81, 109], [13, 44], [50, 79], [102, 129], [103, 136], [13, 40], [18, 46], [123, 151]]; loss = 0.013788 low_pass_filter = 0.300
+Epoch 0: | | 4789/? [50:10<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.000,train step 4790; scene = ['598059ad230a695f', '33e2770d5221886b', '1572c4a6a6b91f35', '5bd2eb1dd2642230', '3763e33c77859f9f', 'e708d0f905809672', 'b3085000c9240eb6', '2c4c8cfb1a98940b', '15c5879af7e6a115', '99cbd88e83b13402', 'e782d3532e6907c2', 'f50ac363deab2f93', 'f9abf2ecc6ec26fd', 'e714d73d9fd0a500', 'ff3c5719e91ed7f2', '0a7c736b15471316']; context = [[15, 45], [90, 118], [27, 55], [31, 58], [46, 77], [66, 97], [39, 69], [139, 171], [16, 45], [5, 34], [16, 48], [5, 36], [66, 94], [42, 74], [113, 146], [35, 63]]; loss = 0.011456 low_pass_filter = 0.300
+Epoch 0: | | 4799/? [50:16<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 4800; scene = ['a0883fd11d656ac5', '9fde98805690a4e5', 'a94e03cd69b319e7', 'e0b48fb2ddbbe96b', '8a09ec7946cf4938', '89b54f912927a60b', '2225123ef31a93e4', 'ac5df5f432218bc1', '180608332f0b1b2a', 'accfed2fa6ff849d', 'd0aafe6b7593a8c6', 'e53ec34eab835d44', '75e5ba7e7fb64fc0', '392052b37ba1b434', '35c70af801116b59', 'b4e19294cf3e2116']; context = [[61, 94], [14, 41], [82, 111], [83, 115], [79, 111], [77, 108], [5, 36], [7, 38], [80, 108], [33, 61], [13, 40], [176, 207], [107, 136], [129, 157], [62, 95], [182, 214]]; loss = 0.011818 low_pass_filter = 0.300
+Epoch 0: | | 4809/? [50:22<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.000,train step 4810; scene = ['650c97a5d26d16fd', 'bad9d8fce9a88d31', 'a3abe0c419b12a6d', 'df3eace7286b16ff', 'f2e6470ad27f495d', 'a9319dee9251ebe6', '0ba513fbd074377d', '5449702e7a248c83', '59d453d9a3928400', '66726f5afdab740e', '975302d5f959f41c', 'bd4fa299f6efa649', '46f85dc85be547ba', 'd4baf663cc2213b2', 'e8deafeeec77f45e', 'e984f302bcc9358a']; context = [[186, 213], [84, 113], [68, 97], [23, 54], [65, 94], [124, 154], [22, 53], [19, 47], [41, 74], [204, 233], [54, 83], [54, 82], [104, 131], [189, 221], [122, 151], [104, 134]]; loss = 0.010234 low_pass_filter = 0.300
+Epoch 0: | | 4819/? [50:28<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 4820; scene = ['ff0ca66ce92045b3', '9cdf3826b7e9a91c', '71baaf1c67f27129', 'f04f855a7935bf43', '1c72f7e8ad167b29', '25d442a8c161f603', '3c0f96460282d9e5', '392052b37ba1b434', 'd4cbeb25474a17b7', 'b4e19294cf3e2116', '53907ac8b877a09e', '25129a03cfd7700b', '35c70af801116b59', '6a3f470f8e9d66a9', 'd2bd3a3f16cea877', '46ea38e907a53781']; context = [[0, 29], [58, 88], [33, 62], [45, 75], [210, 238], [138, 165], [17, 49], [6, 33], [195, 222], [82, 114], [105, 135], [139, 166], [41, 70], [94, 123], [34, 61], [11, 40]]; loss = 0.010824 low_pass_filter = 0.300
+Epoch 0: | | 4829/? [50:34<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.000,train step 4830; scene = ['311798fdc9ad0489', '64626bd202f2254c', '4456801bad039b03', '69ae4d9c04b6847f', '156d109af18219d0', '232747a643935bfe', '3f7b5149e2a37b96', 'f5fa80e828316946', 'af3fb667751c8a50', 'd6915ba62668a1ac', 'dab34da268b7e4f8', 'f0fb5e75d231dfa3', '246d7efd306d3317', '4ed61c584ce1d04b', '1e004033e313ba51', '91e36f2d0b1180b2']; context = [[102, 132], [48, 79], [51, 80], [59, 91], [162, 189], [103, 130], [9, 39], [0, 31], [7, 40], [6, 33], [32, 60], [16, 45], [13, 41], [75, 103], [179, 212], [12, 42]]; loss = 0.011433 low_pass_filter = 0.300
+Epoch 0: | | 4839/? [50:40<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.000,train step 4840; scene = ['652eec833b4c7da8', '58a007e8e111ef3f', '852f7c2aab04ec8a', '4420547213fa33ef', '0c0750bfa3e590df', 'e4f3630e8f2fbc49', 'd14823e5d7bf0345', '75395572e67504f1', '69f4af955f0c5456', 'c29cc54efc535e57', '09f2ad8e87f8f42f', 'f43d286d12845522', 'a35e52a09f508fe6', 'd13f87ebbb540503', 'f7d98971d27dfe00', 'fe6824a4a09b11e0']; context = [[13, 44], [133, 164], [6, 33], [13, 45], [35, 63], [40, 68], [89, 120], [140, 170], [31, 62], [30, 61], [120, 152], [251, 278], [40, 72], [43, 71], [18, 51], [51, 80]]; loss = 0.015288 low_pass_filter = 0.300
+Epoch 0: | | 4849/? [50:47<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.000,train step 4850; scene = ['c4fc7db048856762', '62770663d7a4db52', '0a4984a2df86b475', '854751ec83107f77', '8dd25b0a12c6a8f8', '348e112a06c25f4d', '63e22bbf20853cd9', '55f8b7d5838491ae', '521f7e732acd87d5', '6cb7f85c92dc6f1a', 'a64c3c6132360d83', '162b5410b9529295', '7ca92f7455e150c5', '5a1c3e7d540db485', 'ca3b69314475eaba', 'ff88889c88690944']; context = [[30, 57], [200, 233], [38, 70], [92, 125], [6, 35], [62, 91], [87, 116], [5, 36], [115, 148], [30, 63], [91, 124], [63, 91], [16, 46], [57, 85], [81, 114], [66, 96]]; loss = 0.012523 low_pass_filter = 0.300
+Epoch 0: | | 4859/? [50:53<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.000,train step 4860; scene = ['5b38600054300759', 'bfcb6064b910e923', '17dff78fa53d8977', '9749f269b3c35673', '3fff43daf78cf5c6', 'ae967e6bbd12e29a', 'ceae0d5fe00411b8', '9b91c8500421d562', '0d7c648be0247e1a', '7453567bc6bb115a', '7f54d26a8ab0e14e', '86804304e90a280f', '502168dc460bc1c7', '970c8ab96a42388c', '1e464d7d6edb8441', 'c1680461b2490fa4']; context = [[13, 41], [69, 100], [15, 42], [2, 33], [56, 89], [15, 42], [2, 29], [36, 67], [8, 40], [17, 47], [5, 33], [98, 128], [37, 67], [35, 63], [1, 31], [37, 66]]; loss = 0.013258 low_pass_filter = 0.300
+Epoch 0: | | 4869/? [50:59<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.000,train step 4870; scene = ['4665abcd48bb710a', 'df74597c3957bd8c', '1c5c50af69deab6f', 'f0bda6f91712fd5a', '73b4f3120576ae0d', '0d89dfd83ed81e71', '24f7243394904def', '1c71ba8b64ef1410', '699bc7dbd0bcdaec', '071eb67ff13bf80d', '646a74f178afb3a6', 'ad2bddef36995b31', '16c47f696bf6293c', '0c14e3a75d58b35f', 'ae59cd17e5fe684f', '0e015372167a4e79']; context = [[20, 51], [26, 53], [7, 35], [55, 86], [42, 72], [88, 117], [40, 71], [136, 164], [21, 50], [61, 92], [2, 33], [37, 70], [211, 243], [32, 62], [73, 106], [6, 35]]; loss = 0.011072 low_pass_filter = 0.300
+Epoch 0: | | 4879/? [51:05<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000,train step 4880; scene = ['acefb8ef31722674', '5c6c6c70effe40ed', 'e99e4a230005fefa', 'eba3eac70a8adcb8', 'fd6c49a5509e066f', 'e9b957cd7913a11b', '5e85ac5196dc2aab', '64057e606626c033', '5ff2a11b44e04f20', '2d3889504214a739', '362c5a55ee5877b3', '3d83d2d0323c3aa7', '7a8567f45e05ad57', '494fa216992cf7f5', '196f22e8a9814fa5', 'dd8936d3dfe2e92f']; context = [[58, 89], [19, 52], [34, 67], [15, 46], [114, 143], [36, 65], [137, 167], [49, 77], [13, 46], [25, 53], [36, 67], [204, 237], [138, 165], [7, 38], [199, 226], [7, 37]]; loss = 0.011928 low_pass_filter = 0.300
+Epoch 0: | | 4889/? [51:12<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 4890; scene = ['a2153772358e871c', '98824563b9f7d065', '380294ac4e10fd8c', '9322864620eb33c0', '33ad1cca28b4a707', '1220bffac85171ae', 'f1e829e7ce0c57f5', '11bb5f595455f35c', '93608c4038aa7076', '0db69b3fdc5ac7a4', 'ca8f37b7464df7c9', '2a9a0d7936c79eac', '2f6c751ae35cf1de', 'f1021f385c05e35e', '48a3ce4bd42f000d', '937deb71c0c4d1e5']; context = [[24, 56], [87, 120], [61, 90], [41, 74], [18, 50], [223, 252], [29, 59], [14, 47], [31, 63], [41, 69], [100, 127], [74, 105], [75, 103], [34, 63], [13, 43], [36, 67]]; loss = 0.009839 low_pass_filter = 0.300
+Epoch 0: | | 4899/? [51:18<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.000,train step 4900; scene = ['abed37caa43d78f8', 'db90db656da7ff73', '8994833d3db7b424', 'fce6fac0521553e6', '30db1003608bc643', '0f01b8eebfadbfe0', '884d641124559b04', 'd4feaec801a34163', 'f93810676d1025ce', 'b00b0366223e6877', 'd4d7f2bcf36167db', '263f0d42e8710c65', 'ea77fcbd26a790af', 'bb63fc0162dc10d5', '072ca8802c0424e4', '109be21e1df549ed']; context = [[14, 43], [42, 74], [48, 77], [64, 95], [72, 101], [17, 45], [13, 42], [88, 117], [83, 111], [19, 49], [43, 74], [2, 30], [82, 110], [50, 77], [0, 29], [70, 98]]; loss = 0.013372 low_pass_filter = 0.300
+Epoch 0: | | 4909/? [51:24<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.000,train step 4910; scene = ['d4e63c1413deec70', '912bd8af2638b94a', 'b3948b46c43ce90f', '92bf6f6997e63996', '3bfe1aac6d0135b6', '26923ce39ef7e6c9', '27d9c566d58acb5a', '90105819e3590888', 'b16a5957d0cb2336', 'b438915a424387e4', '63a669ba5d269266', '21da907c41e1f6b8', 'f6ea4a33482b14cf', 'a779cbed95bd0cc2', '56ecb1658ea79417', 'f19c1b266757f967']; context = [[129, 161], [171, 202], [85, 114], [20, 47], [1, 32], [0, 30], [120, 149], [27, 57], [221, 249], [130, 157], [27, 57], [65, 95], [98, 126], [100, 128], [49, 80], [48, 77]]; loss = 0.012462 low_pass_filter = 0.300
+Epoch 0: | | 4919/? [51:30<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.000,train step 4920; scene = ['2c8487ab01c71a50', 'a7e5c2b2c8fe38eb', '9efc4c71d82f7576', 'd821b84ef7e2c186', '36b937cc3684eddb', 'a9b7950720515148', 'b7b940096bce069a', 'd9a133a4747493d2', 'f1ed436c334f8f56', 'd4cac1ead89742e6', 'dd9ccc6a980e0cd5', 'b07850da36ee6d48', '5aaf512e0f84bf1d', 'b3c0809819dde91f', '26aa086d311dd0e5', '9c56f946df1f8cfb']; context = [[196, 227], [5, 35], [193, 226], [33, 62], [107, 137], [220, 250], [12, 39], [6, 38], [101, 131], [45, 72], [63, 94], [6, 37], [87, 119], [38, 69], [23, 50], [85, 113]]; loss = 0.010006 low_pass_filter = 0.300
+Epoch 0: | | 4929/? [51:36<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 4930; scene = ['b0fcf620b2286b46', '719e2e8912e4eed3', '719114b7f77ecd8f', 'c7ab517e25e78d17', 'ca0f8980e88d4678', 'b629d13b89f69d20', '5aff6bc5160aff5e', '584ab0e81d0ed4b3', '31dd729f2ccc492b', 'fbd116be6269d855', '819065582ae39dd4', 'd910c17aafacbd5e', '2b6e36dbf4fa5e07', '89ff43e6ee2eb016', '7ecf693f4f2c0200', 'd62df7dfb0336080']; context = [[40, 72], [16, 44], [5, 33], [68, 97], [11, 39], [99, 131], [3, 35], [92, 121], [3, 34], [134, 162], [20, 50], [34, 66], [60, 93], [0, 27], [8, 38], [2, 35]]; loss = 0.013329 low_pass_filter = 0.300
+Epoch 0: | | 4939/? [51:43<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.000,train step 4940; scene = ['75658e8027c86067', '4cc1fe94dc835080', '43d6c0f25725e6cc', 'b1ddaa87daa7e8c4', '6ccc2acf7133aec1', '22549a33440683ed', 'c7dbfa49247a1aec', 'ce38c38d4f61c599', 'da082d9aa25ca7a0', '6c4cc8781a04dd6c', 'c4bacb055e2540bc', '7214f16379a2cfcb', 'dbfc3f7573753601', '565c69d4e200fa4e', '3b024fb18bd032f7', '23e1ee10d980084c']; context = [[25, 57], [212, 239], [13, 42], [49, 81], [57, 86], [98, 129], [23, 53], [2, 34], [1, 34], [48, 80], [75, 103], [23, 50], [40, 70], [19, 48], [89, 121], [98, 130]]; loss = 0.011989 low_pass_filter = 0.300
+Epoch 0: | | 4949/? [51:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.000,train step 4950; scene = ['3421adc5189bec72', 'e53d154fd5a3e82b', '697f19af3b7bb831', 'a514bcc8aced0356', '031ca18c9472f03e', '85d089291fa710c5', 'cc44fa522a2027be', '06664d17c613a563', '5d64ba6b134fb834', '551c02958152377c', 'f51137376d99b7c0', 'e26035577b7e94b8', '2cdeb22866bd8b89', 'f0e3087ed60f8e68', '1589d2164305202f', '53e9f13ccdca849d']; context = [[32, 59], [29, 59], [100, 129], [12, 42], [12, 44], [38, 68], [29, 60], [8, 41], [2, 32], [50, 78], [32, 65], [35, 68], [0, 27], [40, 70], [30, 59], [71, 103]]; loss = 0.013824 low_pass_filter = 0.300
+Epoch 0: | | 4959/? [51:55<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.000,train step 4960; scene = ['8068133ed588228e', 'a3cf2c1a182a2d0e', '26e8ba5de6755f12', '488f39c1a5278615', 'cbbd98e0f99af188', '8c311d826f923a77', '1fd4fba41c85f3c9', 'f00cff8f4ae371a4', '29ad7f2d5b0f798a', '53b0a4720f4912bd', '9f655edf6923e6cf', 'a97eef4d4e9f345e', 'd12ba3a2ac78cfb6', '7c6d4de848377911', 'd36fc8d3f149522a', 'c047d0dbbfde98e4']; context = [[74, 107], [57, 88], [42, 74], [152, 184], [7, 39], [59, 88], [67, 94], [26, 54], [31, 61], [149, 179], [16, 49], [11, 38], [13, 45], [29, 60], [148, 179], [162, 191]]; loss = 0.016486 low_pass_filter = 0.300
+Epoch 0: | | 4969/? [52:01<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.000,train step 4970; scene = ['bdd954715536117a', '3c9eaa243c502c53', '3e3fb6f137b8aeb7', '98b44ebdf2f794db', '623b9c6047c40a86', 'f61d7b73c1641023', '1c8f2370f5f1779b', 'b154fa1c937ebe3c', '1763de5053513f19', 'fc31902e9a98a596', '2646d83461154ec3', '3642e6b9f4c5dd9f', '67e22aa65b4f6788', '8462eace660f43cb', '423f10ac7cd3488d', '225ec5b5ad4348ee']; context = [[38, 68], [82, 114], [42, 73], [2, 33], [229, 259], [52, 84], [10, 37], [27, 55], [22, 55], [7, 37], [11, 40], [21, 49], [13, 45], [33, 65], [43, 70], [27, 55]]; loss = 0.009142 low_pass_filter = 0.300
+Epoch 0: | | 4979/? [52:07<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 4980; scene = ['5958daa0530a7150', '5f64d96ba85989e5', '76780f3faa6948a6', 'b39aa70a6f60cebf', 'c7f8b0aa62eb8ebb', '29e050fdb8e9c055', 'fdaef267e08ef3aa', 'a0d754b3444c1387', '75683a7321d37b6a', '9a7d3e73531503db', '03ede33559dd7c37', '242682f8f23d3789', '435cd0828f4b7049', '7cf21066c804ef72', '1efaca80ced33dc1', 'b41eb8e15796f76b']; context = [[54, 81], [23, 52], [19, 52], [36, 66], [48, 75], [220, 248], [186, 215], [14, 43], [12, 42], [22, 51], [41, 68], [158, 188], [22, 54], [149, 181], [10, 40], [71, 101]]; loss = 0.009690 low_pass_filter = 0.300
+Epoch 0: | | 4989/? [52:13<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000,train step 4990; scene = ['fd9a558bca043974', '0b49ce385d8cdadc', '107d979e758b8ec6', 'ad54d706cf223a25', '0bc8cc9ea82a89cc', 'b1a53b2f0ca30ce5', '50ee87260cc88f0e', '580ab276c4a72feb', '7f50766e4ef0d24a', '4183dff8cb12644d', 'c9b6da2e91b97069', '1ba1898ad4f268ef', 'ea9bb07d43b25381', 'a5e7bac0c5ec864e', 'c7645cce7e407723', '276ef580c7b5ee73']; context = [[22, 55], [150, 181], [25, 58], [217, 249], [65, 97], [62, 95], [8, 37], [32, 61], [32, 62], [18, 45], [33, 65], [131, 160], [82, 112], [19, 51], [12, 43], [0, 30]]; loss = 0.013783 low_pass_filter = 0.300
+Epoch 0: | | 4999/? [52:19<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 5000; scene = ['25ac9afd10569fe4', 'e38f15b65f706f6d', 'cf5a161998d0582a', 'f45e85f0d9125073', '2a8b384c5d8cec5b', '13b32cb917dc8b6e', 'e85527fb695d1720', 'cc48d6225f69d9a2', '04efda28f99826d2', 'ab5ccec0f5c696d0', '86706e7bcff2d9bb', '7971e8a6e8b14bce', '9a998c8153192ddc', '3cdd1f0cb282e9cd', '57d70928e32ad9a8', '83b8d48dd4198ada']; context = [[69, 99], [59, 92], [36, 63], [2, 30], [60, 89], [7, 38], [33, 61], [90, 120], [17, 48], [65, 93], [229, 259], [11, 39], [13, 41], [2, 29], [24, 53], [56, 83]]; loss = 0.011747 low_pass_filter = 0.300
+Epoch 0: | | 5000/? [52:20<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.000,validation step 5000; scene = ['70b0a33083333dc9']; context = [[38, 71]]
+Epoch 0: | | 5009/? [52:27<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.000,train step 5010; scene = ['b35d918ee69ca3c9', '6211cc59826a08c6', '66c9da321fec37e3', '0421d47aa21b434e', '4559590a2c0b1df9', 'b35fc876ab421657', '1235f358f02dac9b', 'd33ef7d9fb847cba', '831a12623640cd0b', '870061830cde2de8', '1b4565727fb57d9c', '740305794ecb7fab', '1590a87dc2447f1d', 'a9da01afd674bd99', '985af15298bdcea5', 'abcb5c2256d21be9']; context = [[33, 60], [119, 151], [126, 159], [11, 42], [112, 144], [70, 97], [203, 234], [77, 106], [8, 39], [92, 122], [15, 43], [28, 57], [106, 135], [239, 272], [174, 204], [44, 76]]; loss = 0.012038 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 5019/? [52:33<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.000,train step 5020; scene = ['9dfc77c50a277b26', '1e35a6338c690b52', '17c8fa24f6bd1331', '71a809cd91421efe', '9753fb68129f08fb', '87cb9d4f76202c06', '7af9262f51a0c90f', 'c18714d6ce93fe34', '8e034eff07ef1378', 'b536cdfe01bc746b', '2037fbc4426b2cf9', 'bf4f6a21b10ac664', '35170436ab3783da', '8fa46e09f2f6f27e', 'df313718f3e58821', '201e4dfecad1491e']; context = [[51, 82], [45, 72], [4, 31], [28, 59], [186, 219], [17, 46], [206, 239], [168, 195], [92, 119], [1, 34], [3, 31], [46, 78], [18, 51], [87, 114], [55, 88], [1, 29]]; loss = 0.011353 low_pass_filter = 0.300
+Epoch 0: | | 5029/? [52:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 5030; scene = ['f6066db31c658d1a', '67985c404f000727', 'ddd2fd3db0b2197c', '631cad8b289f732f', '3bff367484a62a13', 'e6ad4c3c1f32432d', '9741eb65c3d6d1b0', 'd8dbd08c09ba8f8f', '3f7d83f0293a8c41', 'cc41785bb192e1ac', 'ca438a6ab2eecee5', '0ec442f13aa4fb20', 'b95e6b68ef7095ae', '8798a3a125598ba8', '45cf7b4826be3134', '3bf83c412718628a']; context = [[15, 42], [11, 44], [38, 66], [10, 43], [59, 92], [53, 81], [216, 244], [15, 43], [6, 34], [78, 108], [26, 53], [4, 35], [6, 33], [65, 97], [107, 137], [8, 41]]; loss = 0.011071 low_pass_filter = 0.300
+Epoch 0: | | 5039/? [52:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.000,train step 5040; scene = ['83f9d8c6d307248a', '55bf44ae6e9fdee5', '24cf93a2d2d5d464', '24f96b776969ec93', '203a5fd3a45ac4a7', '8331d9c0babb8c1b', '2468133d68c5d533', '7718b6a417bc4892', 'dc00d6955676c5ef', '0c0b98f2b5ef84e3', '5624dc46b3a25203', 'fe2b27b75b492744', 'f248e7fc45f1d3f6', 'd23ed015a12e7251', '0365970d6438b5f2', '220a754928cf7f7d']; context = [[19, 50], [79, 110], [118, 145], [10, 40], [84, 117], [66, 98], [35, 65], [41, 73], [0, 29], [22, 53], [61, 90], [39, 69], [17, 50], [54, 87], [24, 52], [25, 56]]; loss = 0.012029 low_pass_filter = 0.300
+Epoch 0: | | 5049/? [52:51<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 5050; scene = ['049881f24130be4d', 'bda91c06a62bfe98', 'f5df6b58698fbb00', '2c7be9cd3e8976e0', '9893aa24dc5520de', 'ffa9aa966395d597', '85b4f9edc063d561', '3f34a2fde1dba33e', '4eaa050f778251c4', '1309da52b4486694', '039b5b2cd21d498a', 'b4282b7e10a6bd17', 'f4381d9eecec9e88', '4580603f48cbac4a', '8769f0f6650d769d', '9f4853c826cd8e0f']; context = [[1, 29], [62, 94], [9, 42], [68, 100], [29, 60], [61, 89], [137, 168], [17, 49], [69, 97], [108, 139], [61, 93], [234, 266], [43, 76], [17, 47], [18, 51], [0, 28]]; loss = 0.012930 low_pass_filter = 0.300
+Epoch 0: | | 5059/? [52:57<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.000,train step 5060; scene = ['c7b3aa2e12059b7a', '4dafa4ee650d16cf', '752724fcd4a2061f', '9327aeefffa14a4b', '26813cb5bfb272bb', 'a76c40c96098b63d', '530950bcba399bd6', 'fef1f05c626f4caf', 'fa6e6f9c34048dba', 'dd5f3dd699d98e69', '3b41f88987077308', 'a910f8752165735f', 'c6f4cc113de27e8b', '54e9564d27d9a312', '8aef911b31bd5273', 'aac8d0a25bc8e61a']; context = [[6, 35], [134, 161], [202, 231], [99, 127], [151, 180], [9, 36], [63, 91], [12, 45], [32, 63], [29, 62], [53, 81], [37, 68], [105, 138], [61, 88], [40, 67], [10, 38]]; loss = 0.010574 low_pass_filter = 0.300
+Epoch 0: | | 5069/? [53:03<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 5070; scene = ['b0b372ac64a28928', 'bfd08d4d51f0a055', '582b5253fe22067f', 'ac7dc6792b6062ba', '4c6983bd3211792d', '97b724d2bcdba3ca', '05047cdca9669433', 'da6bfbd9e35142fc', 'df8de2e508f40cc1', '2dce89a97b7df3f4', 'b3019d4573e524f7', '7b62fb3c45fc7d30', '4a756a58d9ec5d9e', 'f9f0b8d2cab24650', 'f7bb1f4325835c79', '9e347718bede110f']; context = [[35, 62], [222, 249], [68, 95], [163, 195], [46, 76], [102, 134], [0, 27], [124, 157], [1, 29], [121, 148], [28, 56], [25, 52], [10, 37], [106, 138], [13, 42], [1, 33]]; loss = 0.012894 low_pass_filter = 0.300
+Epoch 0: | | 5079/? [53:09<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 5080; scene = ['83c67cfbdc88eb0a', 'bab800a2ec170417', 'e132b44474d468dc', 'bf7037e18e37df78', 'ea57baab120b0c2c', '2bd3f619c5bf7b2d', '74a90325131a0f83', '5c9bcde6b68f0f13', 'e2f58ba752660105', '1c1e1bf5171d6086', '7b5264196ad7f9ba', 'c9e42064c970658b', '9cf508ad69e9b1b7', '9d1bd0ca8d1ba0f6', '07a9c6695d47bf55', '8620f4cd02c48617']; context = [[76, 106], [125, 152], [37, 67], [29, 60], [6, 37], [17, 50], [46, 74], [199, 226], [64, 91], [136, 167], [78, 107], [13, 46], [124, 152], [0, 28], [26, 57], [23, 56]]; loss = 0.009852 low_pass_filter = 0.300
+Epoch 0: | | 5089/? [53:15<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.000,train step 5090; scene = ['3e228d07ae6f8c54', '215eb0b87decb587', '75b018db77600c92', '1fb9683df0428231', '9846f3379c2b8fad', 'd7adc331c74563b7', 'cc64c0f4b6918914', '993f5f375f822648', '882182e89dd66eed', '3c2c6247ba2354fc', 'd94eba604f88e9c3', '6c432e8c95774870', '8ea56bfe40784cf0', 'ba76bd997075d586', 'cb24af0d38869d52', '450fa68d31194b5d']; context = [[2, 33], [33, 61], [32, 60], [37, 64], [93, 121], [71, 102], [81, 113], [80, 113], [13, 45], [20, 50], [57, 89], [11, 44], [41, 74], [34, 66], [8, 36], [83, 114]]; loss = 0.008879 low_pass_filter = 0.300
+Epoch 0: | | 5099/? [53:21<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.000,train step 5100; scene = ['3bbe67a40f903aa2', '760b7d4422f20505', '57175f0ed3caaab0', '0cffc79651746ff3', '67d16839b730d140', '3241185f253cbefe', '695a0b84b4897787', '7422ee93f21a3447', '666bc6592852466e', '8a04484039596f79', '4a63558a9d7092e3', 'e2dcc1004ef5eb8c', '913fb4d757212f2d', 'b33a29e1340cb581', 'f7e30aedb1da3cb0', '5c6f91cf582708ed']; context = [[48, 78], [152, 180], [36, 67], [92, 121], [0, 28], [48, 79], [57, 90], [45, 72], [8, 41], [6, 39], [18, 45], [166, 193], [199, 229], [46, 79], [18, 50], [36, 63]]; loss = 0.013964 low_pass_filter = 0.300
+Epoch 0: | | 5109/? [53:27<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 5110; scene = ['30aee98670108feb', '4fcfd03c65294627', '02cea6edb1b588e6', '89ad475d12af1821', '16bc7d9ec2bcb3a7', 'e76a0364d7a3783e', '402824c5c52ea618', '1b618cdc14c2610c', '5efa48d2d69d3a28', '55ed6b10abda068b', '7f7eb55d1d688772', '69f2f84e900e2242', '2f6304f4aea49924', '4d4171f84048fcc4', 'b54fe52843e0eae6', 'f6992bbdedd040fa']; context = [[3, 31], [94, 121], [56, 89], [108, 137], [43, 70], [12, 39], [213, 244], [21, 52], [26, 57], [75, 108], [188, 215], [240, 268], [46, 76], [20, 49], [40, 67], [122, 149]]; loss = 0.012055 low_pass_filter = 0.300
+Epoch 0: | | 5119/? [53:33<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 5120; scene = ['201f15a82f1a6420', '1751cf595b735b68', '4af1f17f12d4e92b', '84c7bdecb993937c', 'e759c9dbca6a0818', '359ef693ed153386', 'b856c67d256f6953', '65821ec8f6870396', 'edcaf729239e0b9a', 'a89f8c7fe80f98fe', 'aa657e100b8527f7', '318d20fd78d7b165', '14f431bca6f79d3b', 'ec4619c9a04ad474', 'd1b677821157bbd7', 'd5a9be470293e204']; context = [[10, 43], [4, 34], [40, 70], [11, 40], [79, 109], [2, 31], [42, 70], [0, 27], [35, 64], [40, 70], [40, 69], [89, 122], [28, 55], [30, 60], [13, 46], [108, 135]]; loss = 0.016310 low_pass_filter = 0.300
+Epoch 0: | | 5129/? [53:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.000,train step 5130; scene = ['9eb7a732f0b74d75', 'ff31f02ee05a3a81', '8159e703d5592c06', 'a96317dd55e483e3', '14d89e024187afdb', '5addef32e61e7498', '3a4fb93324c90edf', '6155643c15b60b3f', 'd11ea8e22f0cfdfa', '70302975bde04daa', 'c3717b9f586069e4', '35566e51a143cd1d', 'afdd7c99c134261d', '2aa6f67ade1bfc88', 'ed7f0ab3fb9cff25', '7d6513e9e60673c7']; context = [[152, 184], [14, 41], [2, 31], [123, 153], [39, 67], [29, 58], [48, 77], [12, 43], [26, 55], [96, 129], [201, 234], [70, 97], [27, 55], [50, 77], [8, 39], [4, 37]]; loss = 0.013684 low_pass_filter = 0.300
+Epoch 0: | | 5139/? [53:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.000,train step 5140; scene = ['897833644315de41', '8252a11a943f64d7', '2d9ad09dfbbccc5f', '4cd3e0c8f6a3b954', 'a83f3746a11e572d', 'd19952203c1188e1', '41258160de3b9847', 'e96a40a434e0b83c', '3a7ec402de14a010', '2ba4ac8ad33f2604', '1b96b29b59396413', 'ba232d0f3f503f0f', '6c86fd352266b6f4', '7570e1000b6f66a7', 'c7b3620b618be980', '22c80320c49a62a6']; context = [[66, 95], [125, 155], [196, 225], [120, 148], [8, 37], [34, 67], [6, 38], [62, 89], [27, 60], [134, 161], [51, 83], [16, 44], [183, 210], [2, 29], [47, 80], [5, 33]]; loss = 0.008871 low_pass_filter = 0.300
+Epoch 0: | | 5149/? [53:51<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.000,train step 5150; scene = ['5633a361f38d251b', '40a3d9a13d9ac652', '9cd573a09adcac51', '8b43ca18bba45f5f', '57c99af21b6e625d', '5ad73cddda52546f', 'a08ff72bb7ee8769', '30535c5c88e231a2', '98674b49a4b7994b', '9850055eb75d9e9c', '7bb67f408e65d160', '84d709a32b16ba1c', '24da1bb7bc49f98a', 'dd0dda5b021333f1', 'cb979847cf756e36', 'd7bc9b74b15143c1']; context = [[24, 54], [28, 59], [65, 93], [18, 51], [44, 71], [11, 38], [54, 85], [11, 40], [35, 64], [58, 86], [120, 149], [21, 54], [6, 38], [187, 217], [52, 83], [14, 47]]; loss = 0.014047 low_pass_filter = 0.300
+Epoch 0: | | 5159/? [53:57<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.000,train step 5160; scene = ['bc72d42a14994709', 'bf15144c156af1aa', 'ffbd661d3229b4cc', 'f2fc0f05c9df5be3', '38b3ab869b752c37', 'f0ccf566e933138d', '0d7c8f3488ff8d32', 'f6992bbdedd040fa', '76863e3d95c8efaf', 'dfdfc2a9de870616', 'd21e2fe8ccd0339c', '032c4532de6a859b', '6ac17c3b90486c36', 'bb8d200a7e3e424c', '8539281bf2d95806', '24796eab91d76073']; context = [[45, 76], [25, 57], [37, 65], [40, 73], [87, 116], [204, 233], [10, 40], [142, 170], [30, 62], [29, 58], [51, 83], [120, 150], [49, 82], [163, 192], [176, 205], [60, 89]]; loss = 0.014009 low_pass_filter = 0.300
+Epoch 0: | | 5169/? [54:03<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 5170; scene = ['6b88ed77e287df4d', '638d352a194d1acd', 'c505f66cce14d75f', '010571c8c397a29c', 'fb4346a6849d5886', '4f1be8aaa56444b5', '457bf2a6a77fda7f', '8764351a0a93925c', '52b1987a8f553c00', '16fa6c2a59103bcb', 'e84e95938d3c87c7', '811edab8b5afc0d2', 'c225ee2119a2c493', '670c5094bc0b1e7e', '4bb7bdad7604472b', 'cb7c62276cf4c7b9']; context = [[23, 51], [9, 41], [31, 62], [94, 127], [67, 94], [76, 107], [221, 249], [197, 226], [26, 54], [9, 42], [19, 50], [21, 48], [235, 265], [25, 54], [30, 57], [101, 133]]; loss = 0.012016 low_pass_filter = 0.300
+Epoch 0: | | 5179/? [54:09<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.000,train step 5180; scene = ['bd8d3f1861372fb8', '6466dd709ba4f21a', '7ca3afb0c40801b3', '4fcb9b17624fcfed', 'a3b640560aacd187', 'c9ee1faee53b3457', 'b9308212e5df6f26', '7016fc88f085f2bd', '3a3123960a5b3070', '4a36de0119c93c8d', 'bc38d6696f19b9f5', '2422896efc729d12', '2b51afd20f93fbb3', '2cedb207ea3ce853', 'fb9c7ba5d2ee795f', '314588c4ee5d31ac']; context = [[39, 67], [75, 105], [28, 56], [76, 103], [67, 96], [196, 228], [25, 53], [114, 143], [29, 61], [15, 46], [70, 102], [26, 56], [96, 129], [37, 65], [214, 245], [180, 210]]; loss = 0.011652 low_pass_filter = 0.300
+Epoch 0: | | 5189/? [54:15<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 5190; scene = ['3da81d175b38988f', '3d7564005d3deb83', '17a95da0447e96a1', '2fcc906ae5455d35', '1c3d7dde3614506d', 'ca85fd3a928e9b3b', '599f891b99305a6e', '65e77aed6557394c', 'a7d126743702556f', '4714e4012c55f466', '5ed97c63db29a026', 'ce56fd4667f845df', 'b96d03ef450db8c6', 'c3cec39b97315eef', '9c350ab081d20885', 'ca7a9b0af8757d37']; context = [[11, 42], [28, 59], [30, 63], [73, 101], [24, 54], [68, 100], [90, 117], [74, 105], [60, 92], [21, 49], [36, 64], [10, 38], [101, 129], [30, 61], [9, 42], [62, 92]]; loss = 0.011749 low_pass_filter = 0.300
+Epoch 0: | | 5199/? [54:21<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 5200; scene = ['f36afd2815e5c749', 'bfde7f58848d4403', 'fba24b33eae5d387', '0eae94f75a1d9b6d', '5d217b6f2d5e1943', 'b1054c0b1821e5bf', '1f0cab6463145841', '847b7d96b0c6a961', 'c205af61996dbdcd', '9373238177cc285b', '1711420f306e72a1', 'f4e0494d0f54715f', 'a9a937c97ed274a5', '4d30a364453937e2', '6ae1434f2405cd0f', '9bd74bbfea66a57f']; context = [[76, 109], [48, 79], [19, 47], [13, 41], [97, 127], [5, 36], [68, 100], [36, 67], [55, 88], [32, 65], [129, 158], [31, 60], [12, 45], [0, 31], [27, 59], [4, 35]]; loss = 0.012204 low_pass_filter = 0.300
+Epoch 0: | | 5209/? [54:27<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.000,train step 5210; scene = ['359152220eb1d27f', '971d809e24db453f', '89eae766d1dfa570', '75e17a6b7ef5f77d', '049637262aa9a03e', '2e559f8f3a616aaa', 'a4e2964058d85f34', '1a85cec942246c96', 'b78214a799408691', 'f6e701bd222dd505', '08e11b45c331ea9e', 'c762c950834c690a', '2e23dfa9044cec15', '084ecb5641790e02', '8293c91c983ffd04', 'e7ed95d934000bc7']; context = [[0, 32], [40, 67], [39, 66], [7, 40], [14, 42], [11, 42], [157, 184], [22, 52], [29, 62], [90, 118], [6, 33], [14, 47], [9, 41], [45, 76], [147, 175], [17, 50]]; loss = 0.009839 low_pass_filter = 0.300
+Epoch 0: | | 5219/? [54:34<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.000,train step 5220; scene = ['faf27a24003c7212', 'c380f54aaaa59131', '8a797b1368e908b3', '729746e12579bb8e', '16b13c6c0948d0bc', '38f8dbde5252ee9d', '46392a72b973aa24', '897ac50a2586050d', 'bf059ef6cf1dc8ea', 'baf899bcd7c0e9ad', '1ca6a26dd235eaa1', '91394c60d995da03', '99f75cdd3d2548d0', 'edac89ad8a0c5857', '6b44fe081be25a0a', '1c9654a2caf88edd']; context = [[36, 68], [1, 32], [74, 106], [21, 54], [185, 214], [15, 46], [0, 27], [28, 56], [1, 30], [8, 39], [2, 34], [47, 77], [5, 36], [31, 62], [10, 40], [5, 34]]; loss = 0.011125 low_pass_filter = 0.300
+Epoch 0: | | 5229/? [54:39<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 5230; scene = ['88d97afc8d56bcec', 'dd0787b7843081d6', '742b3562c7150ed5', 'e05be237357b2b8b', '6bbf7a220517735e', '2538837da46e96ef', '66b341864188182e', 'a11a6794ec0ca556', '2fd0913e6db5e6a6', '8ca0beb765f623a1', 'b3ae46c3cc599471', '081b5e17550df8d9', '35a2c80839ed1a83', 'e0922bb28274f223', '84c0a472c03a9f97', 'a28d65a18a216b81']; context = [[107, 138], [2, 31], [59, 88], [169, 201], [9, 41], [80, 111], [45, 76], [6, 36], [65, 92], [61, 91], [24, 58], [130, 161], [25, 54], [63, 94], [1, 31], [30, 63]]; loss = 0.012640 low_pass_filter = 0.300
+Epoch 0: | | 5239/? [54:45<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 5240; scene = ['38907717de8a51d4', 'e2c5880586482c79', 'ecc5ad88a899700d', '17ccb96aabde6325', '6119e40a4a8af264', 'c52ec198e32186a2', 'd33fd80a4959b66c', '23a8336e10f134c0', '4f83d78089ea24e0', '9f279de3703b6e78', '9db71baf54bb23f8', '6623c3822241dace', 'd35e90f8cb411c35', '5917b96d69b60795', '3fbb0670a23bf050', '4538a4e738f84589']; context = [[18, 51], [141, 171], [77, 109], [35, 68], [40, 68], [56, 87], [37, 66], [15, 43], [131, 161], [15, 43], [0, 28], [210, 237], [165, 198], [58, 90], [170, 201], [32, 62]]; loss = 0.015049 low_pass_filter = 0.300
+Epoch 0: | | 5249/? [54:52<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.000,train step 5250; scene = ['c2ca510a4a1617f2', '8730a68b24c3678a', '328f4a1bb0f7419b', '24668195926b0c91', 'e2151e6bf7f90731', '0ba56b76de23eac4', 'cae09ec1d132c91a', '2a64843febb83d4b', '1f5c02c6a447177a', 'bfe6277ea60796e9', 'd8fdfde86920c2fd', 'cb8ed23005fc6250', '1cf67dcee73f1c6d', '430dfe5186b29458', '458cc2ea856b801e', '4e94ba0878d533df']; context = [[217, 251], [74, 102], [28, 58], [117, 149], [32, 61], [67, 101], [9, 40], [54, 82], [120, 152], [24, 53], [34, 67], [34, 67], [160, 194], [34, 66], [29, 58], [65, 93]]; loss = 0.014197 low_pass_filter = 0.300
+Epoch 0: | | 5259/? [54:58<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000,train step 5260; scene = ['3d7a2c2784fc6b82', 'e204af0947f704ad', 'ebab00ac8428f90a', 'f77ef6219492d962', 'c5b4562390525d10', '48adcbe14fd0c2de', '58a049a2126413d5', 'b717982b09bf39ae', '0d761037ac522e37', 'b6c0e6f14e4623a2', 'f03736ab404d7edc', '874ae5bbf80a7680', '9073dcea9a40f6b7', '5ce5dbe66bb342a1', '2c2621b96be3ce8b', '1f7f35488598665a']; context = [[16, 50], [178, 208], [125, 153], [5, 36], [33, 64], [8, 38], [126, 153], [101, 133], [45, 74], [222, 250], [4, 35], [20, 49], [100, 128], [16, 45], [6, 39], [139, 172]]; loss = 0.013259 low_pass_filter = 0.300
+Epoch 0: | | 5269/? [55:04<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 5270; scene = ['de325a80c227d153', '9379827756f6a6ae', '4de8ddccf7eee0ba', '18060d9b9389cd2e', '693058564e542cee', '7f514243a8e4b551', 'd79b8c2b038b19c8', '06f886c287ca0a8b', 'a8cf212b0fb057d6', '87caa7fabb8a269d', 'f587a7ebbb97a612', '072f50455d057a0c', '821d5ef18fdd7d57', '388a0ff44b0bd8fe', 'c446b96bebfa9030', '462b9d3980d9db1b']; context = [[100, 128], [86, 118], [21, 50], [43, 73], [31, 62], [107, 134], [27, 56], [3, 31], [25, 54], [20, 53], [93, 122], [41, 74], [76, 106], [20, 49], [60, 91], [37, 66]]; loss = 0.014464 low_pass_filter = 0.300
+Epoch 0: | | 5279/? [55:10<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 5280; scene = ['7a7df9c63b3e71b6', '00b31f903ceb11a8', '4e43f52092ef6306', '1157e06fc0b745b3', '7374cc80de8a5479', 'b6cbfa38f1a43a2a', 'd992b7126745f2ca', '83ad0bcf3fa261a7', 'a5207b8d6b307bab', 'e482986b21210c55', 'ca944899e14d4799', 'f4f6fee80c36721e', 'bb320dd4e0d86efa', 'efb51a3671f927f6', '181c6124dfe721de', '8aa48e9505a71090']; context = [[33, 67], [7, 39], [158, 186], [56, 89], [55, 84], [9, 42], [129, 156], [15, 45], [95, 123], [160, 192], [8, 36], [211, 242], [6, 35], [88, 115], [21, 53], [5, 33]]; loss = 0.009989 low_pass_filter = 0.300
+Epoch 0: | | 5289/? [55:16<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 5290; scene = ['ec7ed53eb54e78c7', 'f9103aed764ea89a', '6c80a41558b9ec47', 'c119dfc3c340da8f', '6789b17ebe4606cd', '12e0d4265e7789b4', '824a7bbb922965f5', 'f6a0556897b15d6b', '1c30239815f91334', '053e55bc3666cc69', '510c5beb7e6a13e2', '2a9baa599c00613f', '0a91685401b56e22', 'aa7d34a0930aaed6', '8410b8c23b2c737d', '29f66f7d00d5a958']; context = [[12, 43], [24, 55], [3, 30], [143, 172], [55, 82], [61, 88], [27, 54], [7, 40], [205, 233], [30, 58], [5, 38], [24, 57], [42, 74], [4, 35], [9, 39], [66, 98]]; loss = 0.011035 low_pass_filter = 0.300
+Epoch 0: | | 5299/? [55:22<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 5300; scene = ['2bedb36d46b659f0', '9ffafe5ae44cb7e6', 'f897471b84a227ac', '63a996159e780e13', 'bbf8fe89da545493', '7ef8b861dca2e6b4', 'c63ba33b6c9272bb', '4a180fd9466ebe60', '4fdcea4567daef29', '3c22f5ef87b3e64a', 'c2fade5ac6e887f0', '056d2ba0e6fd8999', '2484419f2f1e653a', '013592eaaecbccad', '0a17490f497bd40c', '5507d4e82ddb2357']; context = [[21, 48], [114, 148], [27, 54], [2, 30], [11, 41], [15, 48], [75, 103], [32, 66], [137, 170], [1, 33], [56, 83], [55, 87], [83, 110], [14, 45], [2, 35], [9, 43]]; loss = 0.010577 low_pass_filter = 0.300
+Epoch 0: | | 5309/? [55:28<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 5310; scene = ['733302d441595cb5', '040d00bb80671855', '6b2eb16cce8db3ab', '2cd96986ebf06957', '876a778fa507f286', '2cc47f5abe271aab', '2243fcc1f63bb6ac', '9589cc353d014ba6', 'bb80f7a48ed9c0a3', 'd634cf82d36cc569', '5450797888dcd06c', 'aa3fc2c24b0502af', 'b0a6f8dc91bf958d', 'f5bbbd8eae49d50e', '348b1e8ab15f2c59', '20834d8e45bbdbb5']; context = [[104, 135], [36, 70], [34, 66], [52, 86], [80, 114], [78, 106], [119, 149], [49, 80], [13, 40], [136, 169], [27, 54], [34, 62], [48, 81], [83, 113], [2, 33], [178, 205]]; loss = 0.012213 low_pass_filter = 0.300
+Epoch 0: | | 5319/? [55:34<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.000,train step 5320; scene = ['26f14525b77ae661', 'a0867ed5680ab015', 'ce889e4a64d027c9', '05caea054b89afc9', 'dc39348fdad696f3', '76e3767736ea1fcb', 'dfce5eefef18f037', '9508bbadb133599f', 'bc3e84661532f610', '893631aa1120f800', '44020f34ef2803bf', '0a8e2e73b0a0ddeb', '07c6818a3a353dd8', '6903e917c5bf1c37', '7a91beed3bf01666', '8a18a357d2f58181']; context = [[46, 76], [26, 53], [10, 37], [62, 93], [22, 53], [15, 46], [64, 98], [66, 99], [31, 62], [3, 34], [31, 61], [82, 113], [223, 255], [25, 55], [9, 36], [8, 36]]; loss = 0.012673 low_pass_filter = 0.300
+Epoch 0: | | 5329/? [55:39<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 5330; scene = ['915eb91aee459280', 'c82fdd33839610f6', '5815312ac729bddf', '1e387282c09f38c9', 'c89a6efe4e3459d2', 'd50e7c48f102d70e', 'e4e8abeacac64ee9', 'bbec698826707bcd', '0ba78320121c79fa', '64b7578093d63639', 'de50a9dcf012713e', 'f12ad81cca298e1f', '49a315c35c0b6fb2', '8f8ae0369af39264', 'bcd7ca7e2fd57cc6', 'a2dbfc443c201a0a']; context = [[43, 70], [40, 72], [4, 38], [46, 77], [40, 72], [5, 38], [153, 184], [30, 64], [1, 35], [39, 67], [153, 180], [139, 173], [10, 39], [15, 43], [24, 56], [122, 150]]; loss = 0.013367 low_pass_filter = 0.300
+Epoch 0: | | 5339/? [55:46<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 5340; scene = ['300d1b567d51caba', '2e479bbb58d5b892', '88261e13957b0e4e', '59519a9cb72ca3f6', '9b916b164d618877', '14baf51ec7108b5a', 'cd55198f7d14cc0b', '25c139a516594699', '92c2b94a7a82af88', 'ff1b18892d833bd5', 'fba183cb9a4d4111', '7e800851a834b6ba', '1d4b5d6f1f708dda', 'a7292cb341621b8d', '3c4b99bef5d8b14d', '2169964b451800bf']; context = [[65, 97], [13, 46], [63, 90], [26, 53], [61, 95], [78, 107], [51, 82], [70, 99], [18, 47], [21, 48], [8, 41], [22, 56], [62, 89], [150, 179], [84, 116], [51, 78]]; loss = 0.009584 low_pass_filter = 0.300
+Epoch 0: | | 5349/? [55:52<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.000,train step 5350; scene = ['37f89e9397fcf138', 'e49aa75fa0bd7986', '7db28b8c9deb77cc', 'cd3d777d0d1edb8b', 'f4f7ba71d2da6fcd', '19e3c281465fb562', 'c3edf21323a1d24e', '655505b3d15f6b6b', '40aff09bb1db0174', 'f78c2005ec943a78', 'f1c8dd3eca2368c8', 'bdde1dd25164dc84', '28e273483a56fa47', '08c2813dd40cc55e', 'eb75a65668cda3ca', '2c6682e7b1e7b23a']; context = [[54, 82], [27, 59], [222, 254], [99, 127], [138, 170], [79, 109], [197, 226], [236, 268], [34, 66], [61, 89], [28, 58], [103, 132], [55, 86], [121, 149], [79, 109], [4, 35]]; loss = 0.011190 low_pass_filter = 0.300
+Epoch 0: | | 5359/? [55:57<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.000,train step 5360; scene = ['7090f32f4f8d4f66', 'a07ad67e90a850d6', '1db30a541e4631c8', 'ab895ad7d4ab2024', 'fdb2dcdaf08bcf23', 'db5d3693aad765cd', 'f6ebe060ddd2c379', 'b86e04af018970b9', '657d182078d67346', 'b1d86a9f37d6f632', '20e541000529f09d', '4a522e3328a9050a', '47ab97a9ba811934', 'ed1a39301382b5fc', '8b17869b1b2d948f', '174345fdb4745da3']; context = [[80, 113], [18, 48], [82, 116], [108, 141], [24, 56], [60, 94], [12, 44], [24, 54], [102, 134], [11, 39], [24, 53], [55, 88], [46, 74], [77, 111], [6, 34], [0, 31]]; loss = 0.010622 low_pass_filter = 0.300
+Epoch 0: | | 5369/? [56:03<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.000,train step 5370; scene = ['6de77e779e3b977a', '861ffbadf2fecc2b', '7c77209bcdb947ea', 'fdaecc84a49d703d', 'f584eec81d207e79', '16105e16e5ae0711', '6cafc45d3d424829', '61dd5711d9f34a58', 'f27e91e65e423f6f', '71f49d6c57da2444', '4dcf2a5e3020a734', '3c3f0e66155f5e99', '70974941f78d84c6', '62a3405c56eb738e', '039f60e42dce9e90', '040c698e24e08ed0']; context = [[48, 77], [49, 79], [63, 94], [64, 95], [32, 64], [12, 39], [86, 114], [8, 38], [58, 87], [37, 70], [53, 81], [78, 112], [97, 126], [43, 76], [1, 35], [32, 59]]; loss = 0.012769 low_pass_filter = 0.300
+Epoch 0: | | 5379/? [56:10<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 5380; scene = ['3a7fc266b6c29620', 'e67f3603886457b3', '7c176d9aef38ada9', 'eb2b2c9b2fbb446c', 'a2b2171d8e2e5a06', '758ae82607fab1cf', 'a5f88d386483e9c2', 'df54544af0cb2814', '208e267f234ea686', 'a1415a510f57cd5e', '0956329fc4d362a7', '9ab9a834066a3287', '2889424e1627e36e', '97bc9f9fd9f493e5', 'd8e1f8ca9a8f6d75', 'c69838b39a586dca']; context = [[0, 32], [137, 171], [62, 92], [51, 84], [21, 55], [85, 112], [171, 202], [33, 61], [13, 40], [53, 87], [25, 55], [3, 35], [99, 132], [43, 70], [11, 42], [90, 122]]; loss = 0.012149 low_pass_filter = 0.300
+Epoch 0: | | 5389/? [56:16<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.000,train step 5390; scene = ['9eb7a732f0b74d75', '555e5c2ddb1f095f', '8159e703d5592c06', 'ff31f02ee05a3a81', 'c3abbc91e63d0ec0', 'a96317dd55e483e3', '28039ea78b84ff46', '85d5c64669a83b40', '581515abcd09a7f5', 'dcda03cf03c7c287', '2ff7da19974fe593', '8438f949cbd62c23', '04f090fd282ec1a7', '6ab869711e65a527', '41905c60a21ef567', 'fc6f10f3b8a73c29']; context = [[131, 163], [22, 50], [4, 32], [39, 67], [2, 30], [121, 154], [3, 30], [28, 55], [39, 68], [88, 118], [5, 32], [0, 33], [74, 108], [2, 33], [86, 116], [0, 29]]; loss = 0.010877 low_pass_filter = 0.300
+Epoch 0: | | 5399/? [56:22<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 5400; scene = ['05c6adfd0fde1d7e', 'bee0e91025c88c9c', '056f1f2bfde5fb21', '02aefe31b7a71fac', '9699b192e759c1b1', '214661ea5a7a9f72', '0378dee255b839bb', 'ad9537b068a7a2b3', '6bde4da4cdc53d65', '535befbe41a1832f', '04b3da927d89d493', '4cc2d85eb52c39a4', '6d79d1b2ebc6339a', '1b1aef5cd100d7b1', '4d2adcb584111f9d', '3fd2fbeaa6f74d73']; context = [[27, 58], [6, 35], [53, 80], [24, 51], [0, 30], [232, 264], [156, 190], [90, 123], [30, 57], [10, 39], [9, 37], [116, 147], [221, 249], [50, 81], [3, 37], [27, 56]]; loss = 0.014200 low_pass_filter = 0.300
+Epoch 0: | | 5409/? [56:28<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 5410; scene = ['88d011fbf3bbfa0d', 'e966a72e3b80add8', '640d78a72db813c5', 'e8631b8149e42ce0', '62e0ba062f947b18', 'fec4da66d508403d', '3dcd0b8aeec5b011', '82cb337cbdf0bec5', '8c00e811d3144c91', '668f8a9b2766976e', 'c8d937ad5508c955', 'f45c572485cfefde', 'f0c94e73b90ded09', '68aec1265bd68029', 'da537cd2108e4514', '7b41774e1a45789a']; context = [[72, 101], [1, 29], [26, 55], [58, 86], [52, 85], [13, 42], [119, 149], [0, 34], [58, 90], [5, 35], [47, 81], [11, 40], [110, 142], [113, 140], [97, 130], [15, 46]]; loss = 0.012844 low_pass_filter = 0.300
+Epoch 0: | | 5419/? [56:34<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.000,train step 5420; scene = ['e98cd164b0d0fe9b', '74765fcdcd14194e', '42fc11373e395d2c', '53f4c47036a79a64', '0f952b5f2d12de77', '8af27c723ccd5649', 'de51c7c378eb3f26', '55e8daddc05245e7', 'd578c51b5f2f2976', 'df05534dfd852202', '9db6fb7dea6b0de5', '937c5776c7311396', '40990b4eb108c003', '217b5aa939551994', '0d7d697af93bbebc', '9ef5b77b6ce7235a']; context = [[38, 70], [93, 120], [42, 74], [31, 61], [29, 56], [41, 71], [70, 102], [239, 271], [19, 53], [10, 39], [116, 146], [26, 55], [9, 36], [57, 84], [94, 121], [47, 78]]; loss = 0.016152 low_pass_filter = 0.300
+Epoch 0: | | 5429/? [56:40<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.000,train step 5430; scene = ['3e7830b3da1ac210', '3bce7d9013d5b009', 'aad0b5079f1ae97b', '288ca6ac9cd80107', '3e7a048c43b4801f', '8ef0da3c9de40839', 'e3b7ad08eabe362e', '43cc177db8b56bc2', '44a38740d586c4c8', 'befde20b572df41f', '859bb0d976d968c4', 'a1e59c09aca976c4', '3d7b9635ce40110e', 'd6c25b52e39788fd', '9e1b58ec292d6690', 'ff87c19446c6325e']; context = [[75, 107], [13, 47], [24, 57], [81, 114], [6, 37], [8, 36], [86, 120], [60, 93], [5, 38], [30, 64], [61, 93], [29, 63], [87, 114], [98, 132], [94, 122], [5, 36]]; loss = 0.013980 low_pass_filter = 0.300
+Epoch 0: | | 5439/? [56:46<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.000,train step 5440; scene = ['64f3dc85ebeab210', '9f7f2606c72b341c', 'd1f0ebd0c998bc9b', '68eb823dcf7a80a4', 'ec2477f0b97a9a14', '26d24a4ffa345a72', 'c122c6a6293b925a', '29083f8a2740b8a4', 'a4a8740a20b9b520', '75b28cb51ce70d61', '40b370bec84fd8cb', '150198f7793edc35', '44cd0f7c658cb252', 'c14419e33d30959c', 'e72032e8935bae10', 'a2a595d1841e657b']; context = [[72, 105], [23, 55], [35, 63], [58, 86], [32, 65], [107, 140], [6, 39], [28, 58], [65, 94], [22, 55], [56, 89], [92, 119], [23, 57], [79, 109], [42, 69], [0, 30]]; loss = 0.014771 low_pass_filter = 0.300
+Epoch 0: | | 5449/? [56:52<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 5450; scene = ['55470b75c7afb481', '1f28c177c829855b', '927a91d4f0d12802', 'a3fa9ab413b2df7c', '964a843d6b1eae95', '3670e4d9d26e7534', 'a56e4503ff76b379', '3ff7045839d86e99', '7a1eb4a3625462dc', 'fda8bac8ddac590f', '6a863f5fa48164d8', '47e999010f49fcff', 'f6decbf02544021d', '29886474dc0f847e', 'ac5b99b6aef3fae5', '4b8f3229ce626e5a']; context = [[194, 221], [12, 42], [51, 83], [13, 41], [15, 44], [4, 38], [101, 131], [47, 76], [167, 199], [20, 47], [4, 35], [5, 32], [113, 142], [20, 51], [34, 61], [35, 66]]; loss = 0.012014 low_pass_filter = 0.300
+Epoch 0: | | 5459/? [56:58<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 5460; scene = ['95ea7a06b764c19a', '3ed6a45f22053af4', '3f7ad3e6596dad77', 'a247c02f80bbb209', '3f0671b3aab75af7', 'b81984c3db6d299c', '17d52a5b96e9c278', '197ff5c7287f0d9b', '702e3924eb797e62', '8a44e9b2b9fa4231', '1dcb240325fa36e7', '67fea88caebb1c14', '51c54c9b7f7598c4', 'b1d60da6d903d72b', '045404bb5789b725', 'd98acfb229c132d4']; context = [[95, 124], [76, 107], [31, 61], [16, 44], [25, 57], [81, 115], [37, 68], [44, 74], [175, 206], [22, 52], [30, 64], [74, 107], [6, 40], [0, 29], [64, 94], [15, 49]]; loss = 0.012792 low_pass_filter = 0.300
+Epoch 0: | | 5469/? [57:04<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 5470; scene = ['9dba53cd4190bffb', 'eae13023de0dc642', '29d6603c1a41ef45', '4dfde045ac3b9772', '8603c643320c6e35', 'f99bacb0639ef12a', '15aad52d11a26f25', '974028c3b9e3e323', '1db629688010819a', '417e0336e9db3eb8', 'f883d68962330b21', '295df0278eb768a5', '96b5fb358789a92d', '9aa9965266925df5', '21486972a7879594', '6048b574a2da8f7e']; context = [[26, 55], [14, 48], [71, 101], [40, 74], [2, 31], [1, 31], [40, 68], [56, 84], [45, 77], [80, 112], [56, 85], [48, 80], [31, 64], [27, 60], [6, 37], [72, 100]]; loss = 0.011807 low_pass_filter = 0.300
+Epoch 0: | | 5479/? [57:10<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.000,train step 5480; scene = ['68dd157e5cdb64bf', 'df1b7ba1b76c0fd2', '528b96fa2edce81a', '4ed711808ac6f7db', '0dcfcde90eebe469', 'e367fd33b59dbf40', '7d47270114fd4ec6', 'd331f11afbd5b80e', '4d1e941a12495ab4', '74a4454fec1064d2', '42650dbbd8232eab', 'e721fc9b9370bfb9', 'dd8b7bbadd571c65', '6515c73871c16c8f', '6d7fa9b007d81c4b', 'dbd787e2f15fb124']; context = [[75, 102], [64, 95], [44, 75], [24, 54], [3, 34], [76, 110], [75, 107], [30, 58], [179, 209], [73, 106], [35, 65], [34, 63], [47, 76], [96, 128], [129, 158], [9, 38]]; loss = 0.010508 low_pass_filter = 0.300
+Epoch 0: | | 5489/? [57:16<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.000,train step 5490; scene = ['85d8b40beee1e26c', '06517d6ba13f0022', 'ac507b8e32118dd5', 'e754578fd748a51c', '7022a0fb6e6386cd', '001573921974bc70', 'f7c53a68d68875f4', '174ececf4806c75f', '9b2b777203c485b2', 'e3e576f5e8270112', 'c7ee25903806290a', 'be1357905deb4c72', '865900d9c2b663c9', '6223b736736550fb', 'e12f8fd924b2ff2d', '19f106c5f56ad5e5']; context = [[227, 260], [206, 237], [26, 56], [12, 45], [43, 74], [45, 73], [23, 53], [84, 117], [14, 41], [36, 70], [128, 156], [106, 137], [4, 37], [69, 103], [10, 37], [18, 50]]; loss = 0.010845 low_pass_filter = 0.300
+Epoch 0: | | 5499/? [57:22<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 5500; scene = ['83c9baf5bbc941ee', '7dfeaf87a8145697', '7e58b6857e275547', '06dfdeca94f15bc0', '152a93ab43d95813', '6a9597d09203d7bb', 'a00f87e22e7a7e17', '722eb1a6448ff0ce', '98aa04d140e8b7e0', 'b2f053581c6a54ed', '18da6c73b59a3d9c', '70d6690412f088ce', '9e49a49124564a6f', '7ae0bad2e96fc0df', 'c94d226b402bb584', '0fc55b8c5dd6dd45']; context = [[121, 155], [8, 36], [13, 44], [120, 149], [71, 102], [112, 140], [21, 55], [170, 203], [0, 29], [235, 266], [8, 36], [5, 32], [178, 207], [27, 61], [18, 49], [0, 27]]; loss = 0.009981 low_pass_filter = 0.300
+Epoch 0: | | 5509/? [57:28<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.000,train step 5510; scene = ['acfb427d90168b64', '1c2d11af0b0eb5a7', '160fb18fd9ea1ea9', '86beccaea6276618', 'af9fb59645cb5450', '3a7d29ec252c1ee6', '635de60e1e23e3d5', 'b6fd5a806aefc32b', '602079c1ebdb60bc', '03cbfe24b3fba7ec', '54bef213b59ea065', '76a2e535fa91b6d0', '370a312c8f5a41d8', '8fc22c613c72a02a', 'ae9aad3603cc5392', '1d6bf47d6ecbd3ff']; context = [[1, 34], [121, 152], [100, 133], [18, 46], [57, 88], [69, 103], [33, 62], [13, 47], [38, 66], [43, 77], [19, 51], [139, 166], [32, 65], [108, 137], [17, 45], [39, 67]]; loss = 0.014273 low_pass_filter = 0.300
+Epoch 0: | | 5519/? [57:34<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.000,train step 5520; scene = ['c6b59c06634125d4', '81e0e4c9e2f56716', '15ab3d9b3b4aa620', '66c7705eadababf2', '3e1717aff7917fdc', '22575c7e72324c30', '4f9e0f20a0596484', '82a44bdd6723ac3a', '433987c509f5442f', '81595add50319f20', 'cfc02e74d34eab07', 'b49cd83707f4e6d9', 'd8e9616b1e981414', '9b9592b7760d78b8', 'ca14d8460220a7db', '2102b4d661606414']; context = [[12, 44], [0, 34], [159, 188], [31, 58], [101, 135], [17, 50], [19, 52], [82, 111], [18, 45], [2, 34], [22, 55], [69, 99], [16, 48], [39, 72], [26, 54], [35, 64]]; loss = 0.012086 low_pass_filter = 0.300
+Epoch 0: | | 5529/? [57:40<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.000,train step 5530; scene = ['5907249a9fd46e01', 'c5d06839404c3d68', '070f5fde5fa6c61c', 'e9473e41345c04eb', '951fd738427071a9', 'dd65f651f4c0fa9b', 'e73e0f80ee7325b1', 'e3e1a3f596f25e4b', '500c86fbe171cbc6', '0eef1f291b126594', '944064bb05da56f1', '06664cf7e79e23e4', '9c6c8ca5534bc61d', '08987ea1371974b0', '0048fce686bb184d', '75f6fe4171accc57']; context = [[74, 106], [90, 121], [27, 59], [31, 63], [48, 75], [8, 40], [40, 71], [50, 84], [34, 66], [30, 64], [211, 242], [38, 67], [19, 48], [12, 46], [47, 75], [75, 102]]; loss = 0.013575 low_pass_filter = 0.300
+Epoch 0: | | 5539/? [57:46<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.000,train step 5540; scene = ['0fc343543da71493', '4d35f03c8c3819b9', 'd230319d9b2eb982', '56adaa848e8fd3a8', '39f649de6c7d7f4b', '835d8121b6b41e5e', '71a0dfdb3d2bd300', '3f075565092a0ab4', '396ddb86bfd42bbd', '178ca92e6939c0bc', '0e62273ed3ef91ee', 'd503531bb5319abd', 'd83c1aaa89852410', '3fc4d99af68cedb3', 'bad89e3e5f29f28b', 'cee4b55b538a7310']; context = [[142, 174], [8, 39], [34, 61], [44, 77], [15, 44], [1, 31], [44, 77], [4, 36], [20, 47], [50, 77], [88, 118], [42, 72], [4, 31], [29, 59], [7, 35], [170, 203]]; loss = 0.011473 low_pass_filter = 0.300
+Epoch 0: | | 5549/? [57:52<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 5550; scene = ['946f96dfadda281b', '3dd1ee9ce46014e0', '4801c55743478ab4', '0788c973574d562f', '4a2c069d7bfa3eae', 'ab84bd6ad2c3f20e', '0ca0911df7c66c58', 'd8cb90fd13152e6c', 'ce4ae70cd53a7081', '5752839f8b488903', '36e2f4d1de6396fb', '8f169f653e1eb31b', '4c76d28a44171812', 'a1608a5d3f05072a', 'ab00f2d527468613', '59058fb21817aa6b']; context = [[38, 70], [36, 67], [0, 30], [93, 123], [115, 146], [132, 163], [6, 34], [30, 63], [10, 43], [164, 191], [45, 73], [79, 108], [16, 44], [37, 65], [2, 31], [96, 124]]; loss = 0.010460 low_pass_filter = 0.300
+Epoch 0: | | 5559/? [57:58<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.000,train step 5560; scene = ['86856fd663430e4f', 'a83198758eb70f2c', '28d5cec35a1749f7', '77f4aac23351985f', '5a406f1f5509c870', 'a3ce7bf7b8f862c6', 'dff0175065faf583', '77bd8533dd345d78', 'ecc0bb67de2e4c81', 'e46665ff5912bb7f', '149264dae59d363c', 'd09f5679022ea967', '373afaae621976e5', '0cc61e63c45e5ac5', 'adeeeadf9317eb3d', 'bda52496ae1a7d96']; context = [[3, 33], [34, 64], [187, 215], [90, 122], [57, 84], [38, 67], [64, 92], [1, 34], [106, 138], [20, 50], [14, 48], [2, 31], [7, 41], [10, 37], [88, 118], [11, 38]]; loss = 0.009573 low_pass_filter = 0.300
+Epoch 0: | | 5569/? [58:04<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 5570; scene = ['e527185e42bfef1c', 'dab8595201dc5eef', '9219c0b67e0ea38a', '12a06166db48270d', '3f185e89d01dc9a5', '45a0fe81436e8ad9', '07cee55ad9de11d5', '08972ab132478d17', '464facd721dc4fe8', 'a956cb2982bc95f6', '9782ad24260f5675', '998ea1f3c868e3a1', '77a348ece48ddd36', 'd38b3ae6b1136c47', '52343d3082732c2b', 'fc3417d870df21eb']; context = [[171, 198], [222, 255], [65, 97], [21, 49], [49, 77], [24, 53], [104, 136], [0, 29], [40, 69], [1, 34], [69, 100], [29, 56], [41, 75], [42, 73], [166, 193], [66, 99]]; loss = 0.011806 low_pass_filter = 0.300
+Epoch 0: | | 5579/? [58:11<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.000,train step 5580; scene = ['49acfb6491c3ed60', 'fcbd35c9fec04992', '27b941a8289558a3', '16333d9914d5937b', '3222c6f65e953650', '6c88b2386f657f8a', 'b4c9c26caef44e89', '1baf2b5812122e3e', 'aa9de0129abc32aa', '18a6c0778918ffbf', 'de3b2ac3db34e97e', 'c932e892fbee3ca5', 'aa6ef5b2399f711f', '6af55bff913df3b2', '01ca9418e0e04a51', '8a5989ad160852fb']; context = [[61, 92], [14, 48], [7, 37], [92, 120], [58, 90], [105, 135], [23, 50], [60, 91], [19, 51], [56, 87], [3, 31], [89, 117], [28, 60], [12, 42], [39, 70], [11, 39]]; loss = 0.012102 low_pass_filter = 0.300
+Epoch 0: | | 5589/? [58:17<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.000,train step 5590; scene = ['f6f9e1143d780e3e', '4d93b0a1d23b35e1', '0e4fd48b69609a3b', '1d34b5ace7d314d4', '2b7d488bda993d57', '29f20f745483699e', '0c2c68a63c6abd0f', 'a8c2deda7fac85b8', '18514db20990ca5a', '4bcd11d183d71da9', 'f6b9f0fc1d7b0741', '09772eae485e6dda', '37865ebd13575d72', '4dc48b004403f622', '38d69e165f128786', 'e90a4352570cef0b']; context = [[144, 171], [92, 122], [40, 67], [44, 72], [30, 59], [29, 62], [78, 111], [125, 153], [105, 137], [7, 34], [67, 99], [5, 36], [36, 68], [30, 60], [83, 111], [8, 37]]; loss = 0.010689 low_pass_filter = 0.300
+Epoch 0: | | 5599/? [58:23<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.000,train step 5600; scene = ['c650dda53967eb05', 'f6ad279359f6eb63', '4f31c3d2031ae29e', '7ee115fb205f848f', '688a6b4560e6d685', 'b276aa50c2dee60a', '4b14491d9a5f164d', '68fff8511202d0f0', '41e5738d1ee47621', 'd53b14150b881c2f', '5c4c281d577d9f95', 'cfe7b0e24f9dc8e3', 'f0ed19231f1ca1b4', 'ba556b71933a8f2a', 'e30dc2f3edeb623d', '606b22ad1a72ec2a']; context = [[23, 54], [16, 44], [52, 85], [66, 100], [74, 104], [36, 66], [12, 39], [177, 206], [110, 144], [20, 51], [86, 114], [1, 35], [94, 121], [52, 82], [72, 100], [18, 47]]; loss = 0.011005 low_pass_filter = 0.300
+Epoch 0: | | 5609/? [58:29<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.000,train step 5610; scene = ['5a149fbb9799b5f1', 'a50412be59011ef1', '985f2c00b4f494d4', 'af6b1c8a353f5f01', 'd001a09d4047c3d9', 'ec3fcc76dc7935b4', '0ed5f2c07cee742a', 'ff8cf27635ec8f79', '72c76753251034c4', '95604de455068830', '368109519bf4afd3', '8174562e1424c6c9', '59d325df680f395a', '2a11d187ac4d948b', 'aa0ff918b038d91e', '34d0a2873fd57f89']; context = [[21, 51], [6, 34], [24, 53], [109, 141], [179, 210], [62, 92], [138, 169], [40, 69], [34, 66], [28, 61], [18, 47], [33, 64], [43, 72], [98, 128], [145, 172], [7, 39]]; loss = 0.010506 low_pass_filter = 0.300
+Epoch 0: | | 5619/? [58:35<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.000,train step 5620; scene = ['c836ef7d904d5d24', 'fd797c334015e71b', '6cb4ac9555d8dfb2', '82c1c8656f684b1f', '1a2dab689da1e13a', '65ec962651b85a4a', '7de728b1808bf321', 'af3a65a2494dd781', 'fae8dd2a73485eb3', 'f6b1933874d4af93', '5c04e1bb3d57c7e2', '986f645284094c16', 'd33a702220f9c643', 'a4540429f3ab7b34', 'b44a9831f5c9346a', '70c3f63e49f0a60e']; context = [[107, 138], [195, 228], [2, 35], [14, 48], [50, 80], [14, 44], [0, 30], [160, 191], [30, 64], [2, 35], [48, 75], [14, 46], [7, 39], [4, 36], [143, 175], [30, 57]]; loss = 0.012249 low_pass_filter = 0.300
+Epoch 0: | | 5629/? [58:41<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.000,train step 5630; scene = ['d0edfa488493a780', '735286cf35dba264', '9d33be739ced144d', '9ca69f6a964f02a4', '4a2675dd01f283a4', '8cb8c73ef19fd33d', '171abcd04aba0f4a', '618e9c0c539e9889', '924dc58634bfef3b', '65e8056ea2cee790', 'a859d007d39a68f3', 'b835141cb69d7442', '26423478e599c534', 'af12b1fbffb8df8c', '8ff9e75e25018b62', 'e910f82449c902f9']; context = [[172, 203], [16, 50], [175, 203], [9, 37], [1, 28], [8, 36], [26, 59], [12, 42], [58, 85], [51, 82], [15, 49], [129, 162], [76, 106], [36, 66], [152, 186], [8, 35]]; loss = 0.012964 low_pass_filter = 0.300
+Epoch 0: | | 5639/? [58:47<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.000,train step 5640; scene = ['4289af9553e84aa7', 'c2b65a57bc508390', '8a369f40b9ba7348', 'db1a78ee1b1e4377', '5707c016b8cefa74', 'c9ba105b875e59e2', '5f744b47465fa9dc', '27560bb41fe5942f', 'a436278141ae47a3', 'bb95140d7fa93bb7', '9e845463bcff1d2b', 'ca89e36b41581eb8', '10fe0d451220407a', '2e4d16122bd76f43', '5f0f26d2f069837f', '26e1218850abd298']; context = [[217, 249], [82, 110], [36, 70], [91, 123], [19, 50], [42, 76], [51, 83], [7, 41], [73, 101], [39, 71], [8, 40], [101, 128], [149, 178], [72, 105], [16, 50], [66, 96]]; loss = 0.010752 low_pass_filter = 0.300
+Epoch 0: | | 5649/? [58:53<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.000,train step 5650; scene = ['b446b7840e4ac28f', '0a15372f3b9eab0b', 'aa2197dadd5f5f8d', '4fd139b53037d3ea', '5d56c55814546bd8', '4fec9d404cf136d2', '13315e22e6006d81', '1c34e3c57f481afb', '725e9b2881c14339', 'd537424645c19bac', '974067e61aa0d408', '6303e9b30a93ffd3', '2d46721788b06ab2', '560e435b0b0dbb7d', '0b201ea37af17d70', '305c444f0ac84615']; context = [[11, 41], [155, 184], [24, 58], [77, 110], [103, 133], [105, 134], [72, 100], [8, 37], [6, 37], [105, 137], [105, 134], [114, 148], [196, 224], [10, 40], [9, 42], [33, 61]]; loss = 0.009310 low_pass_filter = 0.300
+Epoch 0: | | 5659/? [58:59<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.000,train step 5660; scene = ['b4aaa00674c63884', '77994f2a243e4c9f', 'dbb08ee9016eb60c', 'cd3b47d22b0bb827', '6013f0d8dc76e441', '1e2e2ad74df3a146', '402b81bf14d1de68', 'cb1c0ed8721fbcc9', '11562882fdab0420', 'ec59c25cd74e739a', '16b0ce1fde16bd5c', 'd5c1a6c6cb883de1', '0cb1f4423c89e950', '9a97ec19a3bf5147', '5e15850ae9ba93d7', '5bd2b8a6ac345fa1']; context = [[107, 135], [65, 93], [240, 269], [61, 92], [17, 48], [9, 39], [15, 43], [29, 62], [11, 40], [39, 72], [15, 48], [1, 29], [179, 209], [187, 218], [40, 70], [49, 82]]; loss = 0.009724 low_pass_filter = 0.300
+Epoch 0: | | 5669/? [59:05<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.000,train step 5670; scene = ['db470af007bc7d55', '207cc01069e6e480', '3765a1ac3cf22a76', 'a89e2f1bc57991f3', '18b72612d78e5800', '6a3f9d9e01c9bda5', 'e32290ab3ad7c715', 'ab85bf8652d24e47', '11a1b9420a2069bf', '4d0ffa23690b31f5', '74ccd7f499ff29c1', '58d9100716253f0f', '1a00d4e8aa97867b', '95f77454a0125854', '48c4a4758b86d309', '09e14846fbca0bde']; context = [[58, 89], [104, 136], [57, 85], [8, 38], [0, 29], [71, 104], [131, 161], [219, 253], [48, 81], [13, 41], [11, 43], [41, 75], [169, 198], [135, 163], [12, 42], [7, 35]]; loss = 0.009216 low_pass_filter = 0.300
+Epoch 0: | | 5679/? [59:11<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.000,train step 5680; scene = ['fb1f8c90a89e8d43', '099ebecf954ec2ac', 'a04642a7533b8a10', 'ca7a3c1692a695f4', '932715a7bffbf16b', 'b5b59e94bd3efd58', '0d7af179ef2e18a5', '4aad3411661af5ec', '838d610035a86531', 'ca9924ac3f58fab4', '9466d3e7e9958ac5', 'f3ff4b1d53f490c9', '58fbf7415b5f94d2', '5c021289891283db', 'c72bebd575f2bba0', 'd27285f7d9be1c5d']; context = [[28, 58], [13, 41], [5, 34], [25, 54], [3, 33], [9, 42], [62, 95], [32, 66], [42, 72], [56, 88], [27, 58], [53, 85], [0, 28], [67, 99], [11, 43], [2, 36]]; loss = 0.016140 low_pass_filter = 0.300
+Epoch 0: | | 5689/? [59:17<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.000,train step 5690; scene = ['efae468fa7691c75', '8887dc8e1d0fa377', '7ad1fce2b0339169', '8d2343fa49c60b9c', '724030429e0292e3', '6a45430a21453285', '5e65bb1cc5c4affa', '5604225ddca0c7d5', 'b25bb04a13a2429d', '373061ac4e1561fa', '0f1cd7d1fa0adfa9', '6d034c3b0328d696', '28a2f4302568c2a3', '15703310d72f7df8', '65ec7febd49f75c0', 'f47ef2cb367b7918']; context = [[71, 102], [144, 173], [33, 67], [6, 35], [57, 88], [3, 34], [127, 159], [83, 111], [17, 47], [74, 108], [25, 58], [40, 74], [158, 192], [158, 187], [126, 157], [69, 101]]; loss = 0.013927 low_pass_filter = 0.300
+Epoch 0: | | 5699/? [59:23<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.000,train step 5700; scene = ['67584a6f8ae58450', '0e45eb1d006c222e', '97f13942e301b11a', '3ad4ea23277b8a65', 'a87bd967231bd348', '948996282e3db5f6', '709108b3b7921a59', '2bfc72fe23f7d128', 'f241dc13122c01e7', '37fd2f3f34ae6a61', '661012e841d77a60', '526e15b861dbde42', '1e909e45b5870bf8', 'ef05aaf749b3d6bb', 'c0e9c36791ac6ea5', '31c7ad771325622a']; context = [[60, 94], [31, 65], [28, 62], [164, 196], [18, 50], [77, 106], [122, 156], [3, 33], [1, 30], [37, 67], [28, 58], [52, 83], [173, 204], [30, 61], [56, 88], [34, 64]]; loss = 0.015247 low_pass_filter = 0.300
+Epoch 0: | | 5709/? [59:29<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.000,train step 5710; scene = ['f1b97299ba4e09a4', '8d22a27b38f39ac5', 'b6260001d0b9035f', '0eab3863193dd421', '829871f6aac182dc', 'fb4839afef94acad', '1757f8643bdf6f4c', '869e0400a977198a', 'b2d0cf16649a11ff', 'f8b0d1e280daed5d', 'd4aac0088971ad5d', '67353f28c5452f17', 'f13dcb3a9ac8a857', 'a39b07c625f4fbaf', 'adaa895408584f36', '4d2b58c1c68d7a70']; context = [[16, 46], [7, 40], [215, 249], [8, 37], [4, 32], [1, 34], [3, 35], [0, 28], [237, 268], [33, 67], [3, 31], [20, 54], [42, 76], [68, 99], [176, 204], [1, 29]]; loss = 0.009454 low_pass_filter = 0.300
+Epoch 0: | | 5719/? [59:35<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.000,train step 5720; scene = ['6b98e19060e46fb9', 'a32aa8e09cb77fdd', '4eb8e624b1601660', '432f3248df5f40c5', '8dbd94846f7400e8', '1fe2d66eef5f1e35', 'e1b31ddd45f4eb68', 'b4873bca252ef9a1', '4d809b298356061d', '011fbca4c333495f', 'b0b54e44bbbb3aaa', '5bf1d42524c02fb8', '1182579e7ca4ef88', '2598b88b7b7d2119', '5aad4a21ce37e53e', 'b41d3898f57085e3']; context = [[75, 109], [49, 83], [27, 60], [7, 41], [47, 78], [33, 66], [22, 55], [82, 112], [125, 157], [41, 71], [54, 86], [55, 84], [58, 87], [70, 104], [2, 36], [118, 148]]; loss = 0.010720 low_pass_filter = 0.300
+Epoch 0: | | 5729/? [59:41<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.000,train step 5730; scene = ['7ba0bb51ce172710', '37b468e1f381e86f', '17e52586d0101584', 'f07d116fbea2796e', '9031e8656bfd9860', 'c1edfd2888b2f733', '8bf7fd2a9cdd4b00', 'd58806419fb58a59', '4986da6c3f01c2bb', '25c60ef8ca347ede', '892585c2be9f3f74', '33733a6eb9850264', 'e3ab34faf834f40f', 'b6f9cfe435a0fde7', '186d895121cb8f0f', '6fb3aa6a022b85e4']; context = [[143, 171], [168, 199], [85, 119], [105, 136], [24, 52], [50, 81], [147, 177], [22, 54], [46, 78], [54, 86], [79, 109], [232, 263], [15, 49], [14, 43], [40, 69], [86, 114]]; loss = 0.012128 low_pass_filter = 0.300
+Epoch 0: | | 5739/? [59:47<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.000,train step 5740; scene = ['6227561540c03f35', '1749cf5f9c36da53', '2141dda9e65a2e20', 'ff61465fa209f64d', '415b63f1b3c3a41b', 'ed65ed67446bef4a', '3536c0c4998096a9', '5c5747d19ca6fc7b', '78315d35466bfa53', '82fe2f5d5cf50477', 'ded696beba889e75', 'e9b590c6993bcf66', 'a0e4826e71332c71', '24b36b96c868b758', '8dbd26a529a8e1fe', '93739f7c17797663']; context = [[14, 46], [43, 74], [1, 29], [2, 34], [209, 240], [8, 37], [30, 60], [47, 77], [28, 61], [29, 61], [81, 114], [52, 81], [9, 41], [61, 92], [119, 149], [19, 52]]; loss = 0.009079 low_pass_filter = 0.300
+Epoch 0: | | 5749/? [59:53<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.000,train step 5750; scene = ['f1e4898999cd9c1b', '75f1e3480cb011a2', 'a95be6b28b7e04c1', 'a2132eb3ce0e461e', '64ee1c88aece94b9', 'c60772b5e4c787e0', '0f9f0dbe244926f1', 'fa45ba8993573358', '79ddb9fcd6523d4e', 'dce622aca76f31fe', '8e9403c26cf2c248', '24405bbc599acf26', 'bf6ebb3bde3ab2e7', '3e0141cf661e700b', '35744d288cdbb90e', '49fc667ff679205c']; context = [[26, 54], [36, 66], [10, 39], [112, 140], [110, 140], [162, 192], [63, 96], [61, 93], [14, 43], [27, 57], [183, 211], [7, 38], [14, 42], [22, 51], [3, 35], [23, 54]]; loss = 0.011095 low_pass_filter = 0.300
+Epoch 0: | | 5759/? [59:59<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.000,train step 5760; scene = ['3111e5ad7ec9f39d', 'eb1aae21845c22aa', '6137edc44b258c7a', 'd5e84d05cfd4db30', 'c6f7b19be98213b6', 'c1b47e97d4900463', 'b8bb5814af24dd69', 'c58536994138fae3', 'd6160bc8f7c485de', 'ae44237850cc858d', 'df984569c30f742d', '220fa19b554d31e9', 'be7f0f356048ff14', '15cf3ed7934403d8', 'a808409bf8cc67dd', '635a6bf8d8bdfb56']; context = [[36, 68], [74, 102], [30, 59], [53, 84], [32, 61], [98, 128], [14, 45], [29, 63], [1, 34], [94, 125], [26, 56], [13, 47], [0, 28], [47, 78], [41, 71], [146, 174]]; loss = 0.011377 low_pass_filter = 0.300
+Epoch 0: | | 5769/? [1:00:05<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 5770; scene = ['7933d6d96dd31a6c', '65ce0ad5ee94d430', '0763cb68386479e1', '9a4fc912c80e4ba9', 'f9d7f70bb0034f0d', '38f4c8a341068c06', '1df4638fdba064e7', '26cee54c91acd9da', 'bf19b0b66f74e2b7', '9bc403aa9e7c0705', 'ad43051ff3e03760', '0b857200106481c0', '09fd60d2c5ae3eb8', '5b1f5aa8eacde6fe', 'cee014117a48eb94', 'e04ee32fa034b810']; context = [[17, 50], [84, 115], [25, 57], [4, 35], [125, 154], [78, 112], [10, 42], [51, 83], [32, 64], [105, 135], [54, 87], [9, 40], [0, 30], [10, 38], [21, 54], [7, 37]]; loss = 0.010080 low_pass_filter = 0.300
+Epoch 0: | | 5779/? [1:00:11<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 5780; scene = ['8e01aed29e61a9bf', '713cdf4dcda03d65', '08e4f6a5098b0d3a', '09c62d8362825d34', 'f8795dad7ddecd47', 'a21a873df22a9b33', '3127753a1ad207b2', 'f28bac496ee97345', '0bc0b77faeecd0cf', '5176c714d2e72855', '59e7800dec3fa9f5', '152d6d3ac836afd3', '3ad7fc9a83e3e883', 'cb6b282e7c44622d', 'ed1cd4f9d797bde3', '7ee2c0f45d7cb0ac']; context = [[4, 35], [52, 84], [64, 95], [60, 94], [28, 59], [5, 37], [23, 55], [5, 33], [152, 181], [25, 53], [0, 29], [53, 82], [0, 33], [2, 30], [233, 266], [44, 75]]; loss = 0.011365 low_pass_filter = 0.300
+Epoch 0: | | 5789/? [1:00:17<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 5790; scene = ['3af30156efa35d09', '7b95b1f65f0d8687', '8a0a93588ccdfbd3', 'fb7276f92ad63407', 'fdac21a86c2a1ef3', '0300f87d2ff368b2', '79590833b9df5558', '5064ce9e88bb3f39', 'd3711836cd0fac50', '0a0271d981ead75b', 'd9d8890660debcb6', '8e9d9dc15b1707b0', '4f3e8718190c20dc', 'f5ecf8999498edeb', '7c40bffc17c61edb', 'd48f435e37cfc3a4']; context = [[2, 34], [229, 262], [173, 204], [61, 94], [56, 89], [5, 38], [27, 61], [56, 86], [51, 85], [242, 272], [9, 42], [13, 41], [76, 110], [41, 72], [9, 42], [28, 59]]; loss = 0.011215 low_pass_filter = 0.300
+Epoch 0: | | 5799/? [1:00:23<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 5800; scene = ['d7b31e0260c93be9', 'bfd3324d4b863c83', '48c416537e08a32b', '114a696ab1c123b2', '30dfb144a4cecdc3', '1f2eb3cfe6ba522a', '15bcb6f064c57764', '9e40ce9b0971dcd6', 'b5a1b9f9b27275bc', '55d92465848511e1', '95dab5fbf02f892a', '9a70317122187ca4', 'f54af9b96f2fcb52', 'ab47a8cacd5a8c5b', '5b0b61c88d637d44', '4c495f62172cfc2d']; context = [[22, 55], [73, 102], [91, 123], [1, 30], [178, 206], [45, 77], [152, 185], [1, 30], [1, 33], [78, 109], [21, 49], [25, 55], [63, 91], [41, 70], [66, 94], [151, 181]]; loss = 0.012938 low_pass_filter = 0.300
+Epoch 0: | | 5809/? [1:00:29<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.00train step 5810; scene = ['571d919cdb03eb35', '4045169a7724a0b4', '1f403b114e875f78', 'dd988cf0cf941203', '5b926b622e31d3c3', 'c152f6b5f3e6e77e', '275a0f1b25b1e9d2', '33ff87aa39e41fed', '024cdec3379d72e4', '8d710ed2459af832', '20d65cdc3bd801ab', '3a568c79673737e6', 'e82ae746fe86d59a', '314d09d3997725a7', 'f10c940ab4a81f12', '43205c12fd83c588']; context = [[156, 187], [83, 117], [211, 239], [51, 79], [32, 64], [126, 158], [80, 108], [64, 99], [77, 111], [24, 59], [2, 37], [66, 96], [19, 48], [121, 152], [24, 57], [49, 77]]; loss = 0.010555 low_pass_filter = 0.300
+Epoch 0: | | 5819/? [1:00:35<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 5820; scene = ['171c2d3ae7b5b880', '3eecbfde33a5d536', '8b2d2819f5481bfe', 'ddb24003ba549794', '0c1a54f8512a22a9', 'c0c7d0c3dea84825', 'cdcfaffb36bd68cd', '4bdb75340d42d415', 'd839e2f22436f6de', '5ea4cb2ff1498203', '43cf6f225ba670fd', '78c5c861417f0d20', '6601dce6f338cc1f', 'ac2d9614f41b610d', '48c354a9712d07b1', '9a8e27f0f2728277']; context = [[48, 76], [61, 89], [38, 73], [54, 86], [27, 62], [21, 53], [74, 108], [51, 85], [14, 42], [57, 85], [4, 32], [29, 58], [3, 36], [40, 72], [0, 33], [14, 43]]; loss = 0.012045 low_pass_filter = 0.300
+Epoch 0: | | 5829/? [1:00:41<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 5830; scene = ['0c58f684b5a589e2', '81ca6bc8c809f255', '204e1d9acc813002', 'cd54ee699c89cf1a', 'eb9827fd78c71334', 'c2623048da0b7295', 'e2a26c414b0a6c2f', '2dc50f13e83c2884', '70d1c55ddcd4a753', '674ef826ca7eeb09', '28ca1b6ece7702b8', '1990b72a5708f65d', '8a57ec2b5a935cea', '6c57365cc119cce7', 'cba2dcb651b3f309', 'd199375842a653ec']; context = [[139, 169], [49, 81], [53, 81], [1, 33], [2, 31], [0, 35], [10, 40], [19, 52], [4, 35], [43, 77], [2, 37], [37, 65], [181, 216], [132, 164], [49, 84], [87, 120]]; loss = 0.012243 low_pass_filter = 0.300
+Epoch 0: | | 5839/? [1:00:47<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 5840; scene = ['a4b936041ff1684b', 'a85ffdb212af77e4', 'a2e10d0073ed12aa', '9c9ced8fb87ee489', '06a4bfd396009736', '7e5df2af98541d75', '80564bcae125c314', '9e86f1d5a26eb9d4', '83f4beb59ba6a404', 'b40c0f6cb6d5b10d', 'f9cc743f6e98f656', '6c1d03e923825f5d', '8be97eae2bb7c774', '4a461aae5bd6c571', 'b72cf20680d027ce', '3b7748e944b78734']; context = [[28, 62], [18, 51], [16, 48], [166, 194], [35, 63], [10, 43], [63, 98], [65, 97], [60, 91], [39, 67], [44, 78], [0, 33], [18, 53], [10, 42], [7, 41], [40, 68]]; loss = 0.011689 low_pass_filter = 0.300
+Epoch 0: | | 5849/? [1:00:53<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.00train step 5850; scene = ['159aad0364867ef5', '30aacaef7042cefd', '71cc194ab57517b8', 'bd5ba9f0f035e654', '915b529e489a157e', 'b8be0bf2cde5c194', 'ebe9dffdbc25573c', '2040195000efda34', '6047d6adad773c2d', '21d509dc6835618c', '37e5965f967c583d', 'e994872e832abcd6', 'ef6401c117a2701a', '395b6ac27ddcc9d1', '9137204ba76b5bfd', '3fd3e20cbc6e5f69']; context = [[21, 54], [13, 48], [19, 47], [96, 128], [3, 36], [2, 36], [20, 48], [130, 162], [231, 265], [25, 53], [12, 40], [23, 53], [149, 181], [57, 92], [56, 89], [17, 48]]; loss = 0.011196 low_pass_filter = 0.300
+Epoch 0: | | 5859/? [1:00:59<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 5860; scene = ['d2fd8446b4448fa4', '22e4f9f3e6fb1cb4', '8106b193a97fb004', 'a942015dc7100bd5', '06d8efe9dee32c01', '5238186c1162cb6d', 'd528f476238b81aa', 'ca15050b917d9441', '22f6ad0cc2207645', 'cd69e03f89dac542', '2ab1b3e6c6b9f918', '988f1c6895c02363', '0e7ed8715b61dad6', 'feffdda9d1d883c9', 'b34e241b08ecb7d0', '450bc5150cd964e1']; context = [[44, 75], [139, 169], [5, 34], [12, 41], [11, 40], [9, 37], [185, 220], [85, 114], [5, 33], [29, 59], [10, 38], [33, 61], [209, 240], [38, 66], [27, 61], [15, 49]]; loss = 0.010487 low_pass_filter = 0.300
+Epoch 0: | | 5869/? [1:01:05<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.00train step 5870; scene = ['f0750996750eba3b', '4b63a61085154ed4', 'e6382809f20bc883', 'e468d1e2542218d9', '594a9f9c8b76d996', '68348e0f06cb5805', '4b4df0a0720dce99', '2962373860639fa0', '1a34d38778fc33e6', '15ba31ce348a295f', '2f9e585b65804e4f', 'f0a57ad32f7a615a', '6392f81fbdf07025', '8a1425c529010a20', 'f484f9a01bdfac91', 'ee7916d69154f3ed']; context = [[101, 132], [46, 81], [62, 94], [109, 141], [89, 124], [2, 32], [28, 57], [78, 112], [232, 265], [43, 78], [87, 122], [25, 53], [76, 108], [184, 218], [5, 33], [47, 81]]; loss = 0.011951 low_pass_filter = 0.300
+Epoch 0: | | 5879/? [1:01:11<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.00train step 5880; scene = ['9e2a461552595de2', '1aa700afb85ed61a', '564c91ec1a27b1b0', '0eb89527bbff40fd', '110a61dc41dc6ff5', '1cb8398179c221af', '62bd0e8d94a12e6f', '5bf2fd14f29ae8b8', 'cce8d4029c89f537', 'd353a9851abaa4ca', 'cdf7ab179d4bb5fe', '39b855ec6ba79abb', 'd8fb0ecea04b7905', '63cb564bb8ef60c4', '08c8768fb707981e', '60d42bcbe69497c2']; context = [[29, 63], [125, 155], [44, 79], [68, 98], [7, 42], [74, 105], [65, 100], [215, 248], [99, 127], [56, 89], [33, 64], [18, 52], [179, 211], [91, 124], [27, 56], [7, 37]]; loss = 0.011659 low_pass_filter = 0.300
+Epoch 0: | | 5889/? [1:01:17<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 5890; scene = ['255998558abc7172', '2bf2d66d87db5178', '9adb745c741c85e0', '20e8b08c2473d308', '016898755e5371e7', '4fdab020b0b1455f', '28fbb291c0ee869b', '357c34539592a013', '15cd69baed84dc6e', '179a0239d96572f3', 'afeb8f85a9358df7', '2dd44952327b3a21', '70ad344d01754f5e', '2e72f7c088e297ae', 'd5561c0305ee866d', '241bd5474acd5f90']; context = [[9, 38], [8, 38], [9, 38], [82, 116], [52, 81], [4, 35], [14, 42], [125, 154], [74, 106], [25, 56], [87, 119], [14, 49], [95, 127], [56, 87], [195, 226], [19, 53]]; loss = 0.011464 low_pass_filter = 0.300
+Epoch 0: | | 5899/? [1:01:23<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.00train step 5900; scene = ['992ebd0c7e77e8d5', '04804680fa96e27d', 'b8cd548a430e6504', '62baeb7d9b1da732', 'abe8844a3789beff', '3bffd83fc5ceb8c0', 'dd341da195f7b96c', 'a80d5eb9b010f944', '6a1702f5bb5aa428', 'a9931d1fe71c47cf', '133e6aba1f4981de', 'd386b37368dc5e62', '8b6812cc97c593a2', 'f6a26ccc446efd6a', '882f329f32924c9d', '468e229934b61565']; context = [[76, 108], [218, 253], [48, 83], [83, 114], [56, 90], [31, 61], [5, 35], [44, 77], [43, 77], [8, 39], [160, 190], [33, 64], [4, 33], [37, 72], [58, 92], [84, 112]]; loss = 0.011073 low_pass_filter = 0.300
+Epoch 0: | | 5909/? [1:01:29<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 5910; scene = ['1ba032383d3bb085', 'ea9527d030b6ef05', 'c3311420730e6cac', 'b51292c38f8bc5ad', '7f43bd219054cb61', '28666f5e7079f976', 'a4907d1efaa3785e', '31bcb53f4ca71194', 'a585bcd32ea73dfa', '353b211a3822316f', '8e5d0fd1f5a66f83', '633cbde95abf1b3a', '334dafa3bf6fe7d7', 'b74cd5e7dbf6f5a5', '15f55eeb49f9a158', '19da9f1eb7fd7deb']; context = [[88, 123], [145, 177], [120, 155], [35, 67], [102, 133], [105, 134], [101, 133], [20, 51], [169, 200], [17, 45], [6, 39], [72, 104], [7, 35], [48, 78], [38, 66], [17, 50]]; loss = 0.008999 low_pass_filter = 0.300
+Epoch 0: | | 5919/? [1:01:35<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 5920; scene = ['ed1510746de8198f', '53eeb9b2a3c85438', '06d7ebf1d8c31823', '882a4bb1c3ff5449', 'bdebb67214315ba5', '45ce6645effd86a4', '86df32d875423029', '6b92ef0308e73624', 'a1a797c1ebbb9795', '67109d04207dc5e0', 'f2f2c987d08c2d72', 'ec400deea098acf1', 'ae79da1c769f8173', 'f9bb4bec1e976878', '00469966d50c2b97', 'dd665e67067d7bae']; context = [[233, 263], [53, 85], [5, 38], [54, 87], [179, 208], [103, 134], [20, 55], [56, 86], [13, 42], [0, 34], [80, 112], [38, 73], [85, 119], [32, 64], [7, 37], [38, 66]]; loss = 0.017451 low_pass_filter = 0.300
+Epoch 0: | | 5929/? [1:01:41<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 5930; scene = ['e6ff9a7042671971', '2a6a97f480e33a22', '9cbbbe528c9bc4cc', 'b1c3c94c00ea058a', '0fe7bb34bc1ce614', '0ab41923a82fbefc', '0672e7f9286387ce', 'e667c12e5d57eadf', '8ff4d18f3c87a4cd', '78e2ec35addd48ee', 'b6c073fe5209ad3d', '1b98355278b3ca52', 'aacccbcbc0722240', '1c697e1b376ee31e', 'c62b839c1b99274d', '1213665a8be72518']; context = [[44, 78], [55, 87], [16, 47], [23, 55], [42, 76], [133, 163], [51, 81], [17, 47], [36, 64], [16, 44], [1, 35], [31, 62], [69, 102], [43, 71], [31, 64], [26, 59]]; loss = 0.008469 low_pass_filter = 0.300
+Epoch 0: | | 5939/? [1:01:47<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.00train step 5940; scene = ['d50b81adaf488575', '5bb61fbc2b5f9874', '0800ddaabe7ceda1', 'bfba118281ee21ad', 'f31c5a6b9ad29f74', 'f85c2b6f5a310fdc', '9739a6fad4b28ac6', 'd05fc17864e05a2c', 'd89902a23855e483', 'cfd0874da7e13ec4', '60f02dbad72bb13a', 'cfc32ddc6f4ebfa1', '77ff8c06da2d057a', '98fcb849d678ed09', '237b2e037727f576', '7c09f098aa542eee']; context = [[17, 46], [1, 32], [41, 74], [208, 237], [22, 51], [104, 137], [9, 42], [10, 44], [108, 139], [21, 53], [26, 58], [71, 100], [7, 41], [21, 52], [12, 42], [15, 50]]; loss = 0.010256 low_pass_filter = 0.300
+Epoch 0: | | 5949/? [1:01:54<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 5950; scene = ['2ec64b69d4de1d90', 'a11710f5d1559c09', '9ae102209c569657', '53b2d5f02d25fb18', 'b681b468da4fbb88', '2ebcdec1c308edbd', '65443da844dd7f20', '5127aacb328dda4d', 'acd6a14a1f559c9d', 'a0f430e293069c8c', 'aa4106b1c86a4e34', 'a0ae68e3642ee355', 'dc60a35502b49cd3', '27a15919c943e2f6', '6e4c157dc9b1135e', '060353a612f30592']; context = [[28, 56], [49, 84], [58, 89], [60, 92], [19, 54], [3, 37], [39, 74], [178, 213], [127, 160], [50, 78], [198, 226], [22, 52], [109, 142], [16, 46], [19, 48], [39, 73]]; loss = 0.011249 low_pass_filter = 0.300
+Epoch 0: | | 5959/? [1:02:00<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 5960; scene = ['d41a1962fa962d97', '9733c922457884bd', '489033bdcaa98fdf', 'a2c1e912a4cb686c', 'f9efbd129bac6209', 'bd77b6ee00143f9d', 'd15bd6b9d047eabc', '854536a1d912b596', '72de1e94d9864184', 'e0810bce9eb04d63', '030091ba69ae37bd', 'd4d289ffce6897f3', 'cd59d229b00da47c', 'c4cc6f399ac21181', 'de9f63c728227b86', '09b9ac7cb6232d81']; context = [[37, 67], [44, 74], [67, 99], [127, 157], [5, 39], [19, 47], [1, 35], [48, 82], [45, 75], [103, 134], [49, 77], [29, 64], [8, 36], [53, 86], [87, 118], [77, 105]]; loss = 0.014306 low_pass_filter = 0.300
+Epoch 0: | | 5969/? [1:02:06<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.00train step 5970; scene = ['e8706defb03bba5b', 'c178eae2652d9d6a', 'e3baf1d4f5ef2f7e', 'dd1ba37119dbd4bf', '249212a791d29e33', '8f3053050600ce8a', '26f9613bbfe4583d', '18c4564eab8b960c', 'eda8ecb45255919a', '3dcc546913f0f5a6', '1aef95cbf32c6afc', '95452f9250f1d10b', 'be2aab55666bd321', '2a93af38bd81ae80', '725c476c16afec50', 'baec0609ebfeb7ca']; context = [[76, 105], [97, 128], [53, 84], [21, 51], [5, 35], [26, 60], [207, 236], [145, 177], [58, 93], [6, 37], [57, 90], [6, 35], [174, 209], [7, 42], [119, 150], [3, 33]]; loss = 0.011601 low_pass_filter = 0.300
+Epoch 0: | | 5979/? [1:02:12<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.00train step 5980; scene = ['99fbde3ad90233bc', '37be8109577b927d', '4af7dec0791abc1b', '111636109cf386ea', '8796d47632100ac7', '5497c1303ea0e756', 'cf448a6667449deb', 'd7ca12daf958dfb0', '59a2c3a5b8a6bffb', 'f716f2c75818e81b', '93db4526d3da8de5', '1d76416a352af266', '6a99c85d2d2dcadb', 'ce49d261f160bec5', '28c7a26b633278b6', 'acc6c20b665c730b']; context = [[49, 84], [54, 85], [42, 77], [83, 118], [24, 54], [42, 71], [8, 39], [40, 72], [56, 91], [48, 83], [120, 148], [0, 35], [170, 198], [35, 68], [22, 55], [29, 58]]; loss = 0.013161 low_pass_filter = 0.300
+Epoch 0: | | 5989/? [1:02:18<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 5990; scene = ['3035206f3e39145f', '5a3cdd499c219bf1', '07327085a69696c3', '7599842c18f9e0e8', 'aeea05a91f0fa062', '7db24579515c9c03', '3de63e0d27173373', 'a0b88ff1fc110540', 'aadbd867f9b14e0e', '7ff92e29cbc1a0dd', '089622d662597220', '30de684928c0292a', '6c84f14a6cac1574', '174b9b8d56204204', '9c09eaf37515bfb0', '75ae63a846122094']; context = [[156, 189], [82, 116], [67, 96], [112, 140], [10, 45], [4, 36], [65, 94], [10, 41], [13, 48], [145, 178], [23, 52], [27, 62], [5, 40], [8, 41], [118, 149], [37, 67]]; loss = 0.012531 low_pass_filter = 0.300
+Epoch 0: | | 5999/? [1:02:24<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 6000; scene = ['c7aa7a7671b8b200', '5c56b0f05a358572', '574417986f69166c', '40d581ea805e4a38', 'c25c954d46c315f2', 'ca65a604c0f00319', '6bb5aa41ad44b00e', '7f4353922e24e719', 'a160e085a31100e7', '7515288e20354f55', 'd1a233764dfafcf4', '414b7d55b5fde684', '77542628c9955b43', '11a0410061415599', 'e39974ca56f48929', '651dec57270e7a1f']; context = [[54, 85], [15, 44], [118, 153], [168, 198], [35, 70], [2, 37], [188, 219], [75, 107], [79, 110], [24, 52], [1, 36], [32, 62], [59, 90], [116, 145], [130, 158], [94, 125]]; loss = 0.009812 low_pass_filter = 0.300
+Epoch 0: | | 6000/? [1:02:24<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00validation step 6000; scene = ['45592a7f307bccd0']; context = [[8, 42]]
+Epoch 0: | | 6009/? [1:02:31<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.00train step 6010; scene = ['e952686fc1738a61', 'fea1c01a1b763526', '339a2912e861d13e', '3154710017640b49', 'f0ae1c0ba950cd70', '42832be11a0bf2b5', 'b6e320aeec7c0ba2', 'ef1fa8ad46c8a424', '5947dd1e10a23b7c', '7239b2a7554c75fe', '14f5326ed459f92f', '8c7d25a2c34e0402', '904ec56432f4a066', 'fe182ab98e3df748', '9aa246217e9c04ea', '16b46bf7b3709c2f']; context = [[34, 65], [10, 45], [57, 92], [4, 35], [19, 47], [88, 117], [7, 35], [72, 103], [64, 98], [127, 160], [9, 44], [102, 135], [1, 31], [46, 78], [23, 53], [147, 177]]; loss = 0.010818 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 6019/? [1:02:37<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 6020; scene = ['fc837334a2b7112b', '45edb87bd30a2a11', 'b2eecf538192c27d', 'e3b6a591a97ac37d', 'b4496552d5427337', '826e85106094955f', 'b6f214126cffe83e', '9bd4ae10f2fbba74', '758a63fb57e54b3e', 'e5d4f034d91b1548', '4585570329cb773d', 'a1c7351f7b192aae', '55c0bea8615390cc', 'b1c898335e14b033', 'bc97ef60386f31c1', '4bcc311e9b1e6330']; context = [[41, 70], [1, 35], [5, 39], [86, 121], [0, 28], [98, 129], [11, 40], [92, 124], [18, 46], [9, 38], [124, 152], [63, 95], [39, 68], [28, 60], [58, 89], [45, 74]]; loss = 0.011247 low_pass_filter = 0.300
+Epoch 0: | | 6029/? [1:02:43<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 6030; scene = ['59a40926c651be2c', '8d6f43976c9e5f94', '1fb562b09fc361ea', '2837f34b63e649e1', '41e20f4874e70840', '24d33601b8e09152', 'ab1a429034ca6dcd', '1b9e0a1958f29f37', '4d836c051f02de01', 'd842261ebd54ac6e', 'b15bd877d2642313', '2c829a056844b920', '82951bcec467e8b9', '24b61a5f82f26bdf', 'da730944311546b9', '8828f1cc452795aa']; context = [[5, 38], [245, 274], [1, 32], [55, 90], [2, 36], [37, 69], [0, 35], [1, 34], [38, 66], [53, 88], [106, 136], [24, 57], [32, 61], [0, 34], [12, 40], [59, 90]]; loss = 0.008986 low_pass_filter = 0.300
+Epoch 0: | | 6039/? [1:02:49<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.00train step 6040; scene = ['50b8bf3b72f8f9f9', '25767990c1e5df39', '5cb6a4466d5f4f53', 'cf99afd282027055', 'd7f3b4e12f3f3af6', '0ec67d5130f65ffc', '9e80f805fd6c7b93', '674ac829bbf8f50c', '102e45db9a58004c', 'a8ceb60f8190916a', 'eaf4b595a888214f', '8d5c76362cfbd82e', '1adadfa4ed535f3b', '9037a2323c37f9ef', 'e91f5d416c3d2843', '75c70da3562da0e6']; context = [[98, 133], [40, 68], [22, 51], [17, 46], [0, 32], [7, 39], [16, 51], [82, 110], [23, 58], [90, 121], [23, 51], [68, 102], [13, 47], [11, 46], [12, 43], [33, 62]]; loss = 0.011324 low_pass_filter = 0.300
+Epoch 0: | | 6049/? [1:02:55<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 6050; scene = ['703860a4a2fc4649', '87fa399fdd73af24', 'b791fb38e3fd8d03', 'b020cec718b2a496', 'c12b4b8fce580e89', '06fbc8d45e60e49b', '004a40da569ee807', '47a8853f48974faf', '1844d01379136fde', 'da2b6199a9135d43', 'a741c7e0eff7ac67', '4b846a205819d8e5', '8c9eb97a7653d4f0', '8ca97af66552f055', '7b0d66794e39e197', 'f3c9b744a3ec8d81']; context = [[14, 42], [26, 56], [80, 113], [5, 37], [87, 121], [8, 42], [37, 69], [112, 147], [30, 58], [172, 205], [12, 40], [120, 149], [49, 81], [39, 70], [68, 96], [249, 277]]; loss = 0.011028 low_pass_filter = 0.300
+Epoch 0: | | 6059/? [1:03:01<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 6060; scene = ['3ec0d0ccf599700f', 'f5bbbd8eae49d50e', 'd634cf82d36cc569', 'd2296281f2cdccf2', 'bb80f7a48ed9c0a3', '20834d8e45bbdbb5', '5450797888dcd06c', 'aa3fc2c24b0502af', '66b805afc45e8357', '7e9ebe40970c2a30', '348b1e8ab15f2c59', 'b0a6f8dc91bf958d', '552c35c6d99b5e62', 'c4ac11db4065a715', 'ade8a86455248182', 'b67893ee6b828446']; context = [[64, 93], [24, 54], [54, 86], [140, 168], [45, 79], [187, 221], [178, 210], [61, 90], [24, 52], [33, 66], [84, 112], [43, 78], [151, 179], [16, 46], [5, 38], [3, 34]]; loss = 0.011040 low_pass_filter = 0.300
+Epoch 0: | | 6069/? [1:03:07<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 6070; scene = ['e7d421b2fea9ec9f', '3dfdf65958a3a147', 'b7cc2057e5de1cec', '0d07d28865590571', 'd4c1527f35f9d02e', '82ead84357395d56', '37de3df2a5fe9be2', 'a61f6deee7d1efd9', '2a96f489344c6a21', '704cdcb7dff6e7f6', '28289a1404a1fffc', 'd12442dc34f4a50c', '0373e83164c530d5', '90f8155bb721d1e2', 'a4ccd922e6147e0d', 'feb5bfece3b46df4']; context = [[7, 35], [30, 63], [9, 40], [19, 54], [37, 69], [12, 43], [50, 84], [13, 42], [88, 121], [71, 101], [61, 91], [22, 53], [75, 108], [54, 82], [73, 102], [51, 84]]; loss = 0.009787 low_pass_filter = 0.300
+Epoch 0: | | 6079/? [1:03:13<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 6080; scene = ['dceedd8871d159da', 'eaa856546c0b26c1', '250a8529f9e40503', 'e7dfc1aaf25d8a10', '2cd454a8c49f2576', '204d89d3668801fc', '3aabdb8ab1418cee', 'f0bfa1ba98f8522f', 'dc0612ed1a7dec8a', 'de2e30cf9d705e9a', '87d35fbd345323bb', 'a0fe443e6d4d2ad8', '155a5893541ce04d', '3337e2c6bf01b35a', 'c5bf59924ede6660', 'ba27feeb604c917f']; context = [[134, 162], [123, 153], [5, 39], [103, 137], [49, 82], [41, 71], [40, 70], [37, 71], [34, 64], [38, 71], [18, 52], [42, 74], [12, 45], [56, 87], [16, 46], [228, 257]]; loss = 0.010447 low_pass_filter = 0.300
+Epoch 0: | | 6089/? [1:03:19<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=23.90, train/active_min_children_step=4.00train step 6090; scene = ['47a5504a363ffd80', '03aeb7cc51b34332', '64ac5e883d17b31e', '3d48789267dda573', '9a3cd88e7992e094', '518b5b152dbe9bed', '1b7f416bc544663c', '28067dda0ffd7a29', '442516502d2ea879', '22b9f16c8dd1e8df', '5dbda7826d5a5027', '22644c4fbf43b33b', '72c2b1bac8dff909', 'e381359e340285d0', '305c01eefbbc2612', 'b64c39c43cba1b56']; context = [[27, 55], [37, 69], [45, 78], [149, 179], [35, 66], [138, 167], [0, 28], [51, 83], [99, 128], [9, 39], [55, 89], [15, 48], [14, 49], [142, 173], [113, 141], [0, 30]]; loss = 0.013335 low_pass_filter = 0.300
+Epoch 0: | | 6099/? [1:03:25<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 6100; scene = ['7e460ab46bd78331', '0dbb47bae0f2a724', '5cda06618fa317be', '337389d2cf30eddd', '254ff05c2f88a003', '69f87b8846c283eb', '325d07b969357a2a', '86484f4e15b5b0e8', 'e9b908cc0c604c48', 'eaf0c851296befa5', 'bf9f368eb8ec8cd6', '67adab670d503371', 'a81a866ab3a3399b', '97d29bd86a6ef279', '5267386eb56ba0f9', 'aa419c5bb667ac9d']; context = [[88, 119], [93, 125], [43, 76], [22, 51], [11, 45], [6, 41], [94, 127], [5, 37], [100, 128], [196, 224], [104, 133], [67, 95], [29, 57], [86, 116], [60, 89], [133, 165]]; loss = 0.009181 low_pass_filter = 0.300
+Epoch 0: | | 6109/? [1:03:31<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.00train step 6110; scene = ['60dcc267282f1fc0', '9e62da9ea512c1a7', '6f5809b57f53e0fe', 'daa71cd8881b791c', '9975000a90e2f784', '87898f9c70c2ba3e', '39efe3569042d482', '8f56fb936a827d6d', '7d747dbeeac960e6', '47c676b06a3833ab', '57f635805bc981dc', '079f05d5a14d5034', '48eb62d05fc8104c', '904340756df15268', '3fd762f6877a9c15', '38b78311ed6b92e2']; context = [[43, 71], [17, 51], [14, 42], [107, 136], [35, 68], [74, 107], [74, 107], [23, 55], [184, 215], [179, 208], [53, 87], [174, 209], [101, 129], [50, 78], [19, 54], [157, 192]]; loss = 0.010556 low_pass_filter = 0.300
+Epoch 0: | | 6119/? [1:03:37<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 6120; scene = ['51f747ae14bb6624', 'defc305c0789a4ae', 'bd6541d0d39e080c', 'cbb5cea13c2693fd', '960502b7e0a59c95', '39dc11e7396fa5f4', '384c333906ffc6ff', '9337e5ae3d6f785b', '0f7964b5630134fe', 'fc82d5366229a1a4', 'efd3e783df28b0b3', 'c8c4ca4eca6a4493', 'a83a1aae9c8a1597', 'e86b478775b149eb', '2e00be39eb1d01e0', '90d6d007b496135a']; context = [[8, 37], [28, 63], [13, 48], [13, 41], [47, 79], [51, 80], [30, 65], [54, 84], [20, 53], [6, 34], [103, 132], [50, 83], [11, 45], [58, 89], [57, 85], [4, 32]]; loss = 0.010669 low_pass_filter = 0.300
+Epoch 0: | | 6129/? [1:03:43<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.00train step 6130; scene = ['dd709a76c4ade039', '8860d3251307030c', 'f45afc69c757f740', '755be52fe347b481', '0865ab5087227a74', '262ca049a6cd4ded', '522da2a710ac5837', '18dedb90ea5f4869', '8d24e45a0fb34cd5', 'aaa1ef2a365d7781', '9b482a814f0a5481', 'ab4d903d5879e595', '88e7d46c7325e541', '3fcab25b002c8d8a', '46abbc7e39a5c1ce', 'de891429c0a521b2']; context = [[28, 62], [41, 72], [86, 116], [69, 97], [6, 35], [38, 66], [47, 80], [93, 122], [52, 84], [92, 125], [142, 173], [4, 33], [41, 73], [10, 39], [26, 57], [2, 35]]; loss = 0.011434 low_pass_filter = 0.300
+Epoch 0: | | 6139/? [1:03:49<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 6140; scene = ['546252fa9fce9180', '7543d9df60679634', '03203af97d6cf03e', '64fe48431956f5a4', '193e4b6a051b246b', 'd5748016f2f59e88', '21c70595a4f20e8c', '871c5356143bef59', '212d92ca9842dae0', 'c16bce558661b9bd', '801ab8d734858805', 'd6590efad5308453', '7713d909cf7bda4c', 'd04a28d0772e76c8', 'cc25909697786aad', 'f5a615c356cab245']; context = [[95, 128], [42, 73], [7, 37], [163, 193], [88, 117], [66, 97], [26, 60], [7, 35], [70, 105], [3, 34], [9, 43], [3, 37], [50, 79], [145, 175], [13, 45], [126, 159]]; loss = 0.012870 low_pass_filter = 0.300
+Epoch 0: | | 6149/? [1:03:55<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.00train step 6150; scene = ['8539028ddcf147af', '7036714988a42b40', 'cc36592f7efd1256', '48608b5e820962c5', 'ddf55954b077bbeb', 'd5f301b7bd22ad8a', '64fdea66782dc649', 'b7d857ac614f9c3c', '9559990c1ce5c206', '9046b906e0747a38', '357a8bc6707958f5', 'bd15af2177366253', 'cd9f053b1d36a673', 'd6820efece05e85e', '8260ec1725da9848', '8c4e0111b36af46d']; context = [[1, 35], [75, 106], [10, 43], [83, 114], [7, 42], [70, 99], [0, 29], [72, 104], [4, 38], [34, 67], [144, 172], [84, 116], [22, 50], [40, 73], [84, 114], [52, 82]]; loss = 0.012119 low_pass_filter = 0.300
+Epoch 0: | | 6159/? [1:04:02<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 6160; scene = ['8f37ae19ca4347fd', '62fc2a227b8adab0', '7b5286bc593e9b13', '4d2c2b44b15892a4', '2b64a3cbed138794', '7dd8abf5a77ad604', '91f92567f60c4867', '38e0ce65725c8c88', '201e4c621f0af834', 'dd19239cfb212f68', '9458fd60c0f2374e', '73089f2cde9f9cd0', '458f1f02c4925632', 'b663a474fd1e4ca4', '369116e3e1ccb242', 'b2f729d5f7cfe880']; context = [[206, 234], [9, 42], [92, 127], [186, 215], [3, 33], [91, 126], [21, 53], [154, 186], [0, 28], [60, 93], [106, 135], [0, 30], [11, 43], [6, 35], [6, 38], [7, 41]]; loss = 0.010859 low_pass_filter = 0.300
+Epoch 0: | | 6169/? [1:04:08<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.00train step 6170; scene = ['352ea39555d2784c', '99b2c348478c7dc7', '78b33905f02eff69', '5df7fb86d276c3e4', 'c4a661b87bafd966', '222307f0de237e9a', 'f339009a2e1e63aa', '94b9a93004f86b54', 'f3bad8dfa6cc4bb2', '3488c217a07fd3a0', '4bc6406d8cd174dc', '5d80dc463d9b37c4', 'cfaf07608a30fb9b', 'cc06f0648f4a435d', 'de18f2282a2a400c', 'ea3a3e520788f50e']; context = [[16, 50], [109, 139], [0, 29], [113, 145], [22, 50], [46, 81], [17, 51], [44, 78], [92, 123], [94, 128], [30, 64], [21, 51], [1, 31], [62, 92], [53, 87], [14, 48]]; loss = 0.009993 low_pass_filter = 0.300
+Epoch 0: | | 6179/? [1:04:14<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 6180; scene = ['70a1d752911d5737', 'b5ca8a726d6cda0b', '1c31e603447504e3', '49b0f26fa937033a', '7a8f01d36193f7e3', '9ded63a7543cee38', '11b68ddc34409767', '7d50b3a07e52acff', '9e628a03deba8464', 'c0841d45df55fb83', 'fac67aa77bcafd10', '88486351f619919e', 'c474913aab1ebf5c', 'a3bfa543314a0068', 'aa45fdff1cdb9838', '00664b826ec082e8']; context = [[10, 43], [41, 71], [31, 59], [47, 82], [16, 46], [32, 61], [23, 54], [65, 93], [19, 53], [26, 55], [12, 45], [9, 37], [10, 39], [18, 46], [38, 69], [154, 186]]; loss = 0.012821 low_pass_filter = 0.300
+Epoch 0: | | 6189/? [1:04:19<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 6190; scene = ['81d9554ed347307c', '232777ce6c9eabc0', 'c0740961ddca5c98', '0b15419859947894', '14032e27d5868321', '7d900c809e896e32', 'f0b69a3d4d2e4db2', '677e8ff48506dc49', '7a471a0c4fed1464', 'e705e9ebe38e0f37', '4f56e3a668cd9856', 'c5e52d22a51681f0', 'fa8b1c66012605dd', '18b42abc37807ecd', '1385c61c89fb3dc8', '6a78d996225de1c3']; context = [[30, 59], [31, 62], [11, 45], [89, 120], [18, 50], [12, 41], [152, 183], [109, 141], [42, 72], [3, 37], [26, 59], [176, 211], [22, 52], [104, 132], [59, 92], [16, 46]]; loss = 0.014367 low_pass_filter = 0.300
+Epoch 0: | | 6199/? [1:04:26<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 6200; scene = ['6edfc46eec151202', '9cf4511625b44389', '94a58590c20a67a6', '2c0939fba79df7ad', 'f1cbd0e2909c8ce7', '64fe2e10e340ebc4', '0762d4d82b19cc37', 'ad6fa2297bbfa91c', '22b1b9bebc0a0520', '6494828a237a7a69', '1849a41079039a3a', '4a3ff4b7939ec268', 'dbb7151643a69e0c', '6a2a2ff9c392fefe', 'a270004198eddd9b', 'a5c9cbbc7e1d69a1']; context = [[63, 94], [19, 53], [115, 144], [149, 184], [173, 208], [8, 36], [34, 66], [0, 29], [33, 67], [16, 47], [44, 73], [18, 51], [121, 155], [10, 45], [121, 151], [54, 84]]; loss = 0.012875 low_pass_filter = 0.300
+Epoch 0: | | 6209/? [1:04:32<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 6210; scene = ['be478cdb0e09fa67', 'a1dedbb93ccb1ada', 'd2bf3cc61876b88a', 'd61d4f9ba6cca3f0', '61b9def6cdf00024', '4e3d75f0a55f2f7c', 'bd141e65c0d97802', '886e55c605c891d1', 'f6524ab7935064b1', 'fe263d56b953be62', 'e1923ba07570dd9e', 'a0846eb1c9a514af', '6f7fb82bc9ee59c0', '10ff4d2a82201191', 'fbc9e1286569052f', 'c79c50b706239924']; context = [[54, 86], [50, 85], [23, 58], [138, 173], [191, 222], [82, 115], [56, 91], [11, 41], [69, 99], [152, 182], [50, 79], [29, 60], [76, 107], [82, 110], [3, 37], [1, 36]]; loss = 0.010178 low_pass_filter = 0.300
+Epoch 0: | | 6219/? [1:04:37<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 6220; scene = ['21f0b62cb5810288', 'c5c352e72df9640b', '809658c303767e17', '9bff32f6dc3defea', 'ef37be4851962545', 'a3a5884addc0279a', '7068fd93a41de3a9', '24a67da9e605b0ea', '893cad7c624662b4', '29caaff58a530496', '37d8d38f0ac90651', '5376cc836571e8d6', 'aa809e649155f86f', 'a7cdd9d5e6221d68', '08f02e7ec7dd69da', '97e5fefa9c5dbd82']; context = [[22, 50], [174, 204], [38, 67], [82, 110], [187, 218], [28, 61], [51, 84], [112, 146], [19, 51], [9, 37], [15, 49], [127, 158], [127, 155], [18, 52], [3, 31], [33, 63]]; loss = 0.010491 low_pass_filter = 0.300
+Epoch 0: | | 6229/? [1:04:43<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 6230; scene = ['74b28af6d0cbe407', 'd8c5e90225704aea', 'fd03288e7a92cca0', '52004686b48e29f3', 'f2132aa929026299', '4296043230e5cb08', 'f9405ea3b4084c33', '7cfad9304d304a1a', '51eb269cd04978af', '7fe1c7ffa6d39553', '87b550e1dac66e2b', '2b8a66a785038b4b', '5e5083d240be35ce', '2fb6d1f313d8caf5', 'd4794bd8ac6b13c4', '6702a69449ee5d23']; context = [[6, 38], [4, 37], [110, 138], [35, 69], [45, 80], [85, 120], [53, 84], [23, 53], [42, 77], [41, 70], [39, 67], [22, 55], [43, 75], [71, 99], [112, 143], [33, 67]]; loss = 0.013366 low_pass_filter = 0.300
+Epoch 0: | | 6239/? [1:04:50<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.00train step 6240; scene = ['c0a9cb4119700916', '8d2177a8a4d1d620', '4cd8e871503e9784', 'd7324cfb14443dc8', '3e1861f4f3b18e2b', '74ea79b22a813a76', '0598d89d419be817', 'c95b1f5407efedee', 'bddc070df15c5bd0', '3a4c7009fbce0505', '09b98e71b6edf251', '64653ae7604b71fc', 'e09e5c6b7bfe74bf', '9b49446e9c10131b', '5c4a9e9bb823c7c0', '97258bc8c51b4d85']; context = [[0, 28], [24, 52], [19, 49], [6, 35], [114, 142], [8, 38], [46, 77], [7, 41], [175, 206], [27, 59], [35, 68], [97, 127], [7, 38], [131, 160], [35, 66], [126, 154]]; loss = 0.010309 low_pass_filter = 0.300
+Epoch 0: | | 6249/? [1:04:56<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 6250; scene = ['c06dc1d24e73b1b6', 'a508ee63269e07be', '3e1333cca3b7486b', 'b6cc5bc6ed31f2a0', '0674107d490c6586', 'ebab476bb06eeeb0', '233dc4174425622c', '3a93864c87776b40', '6427a92bd26fcfa8', '0470da7b9a57db02', '41efa10222f0f457', 'b256a6f34715b553', '4020994643af2136', '084f6254600e67d8', '93856e139485fdc2', 'd933c4814c8fff26']; context = [[129, 163], [185, 219], [31, 65], [49, 80], [171, 204], [168, 201], [41, 69], [63, 96], [15, 44], [100, 130], [7, 42], [129, 158], [8, 36], [23, 53], [40, 75], [7, 42]]; loss = 0.009372 low_pass_filter = 0.300
+Epoch 0: | | 6259/? [1:05:02<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.00train step 6260; scene = ['f12525f7becadc47', '52cc0ae108971258', '2b6a1efe983fbb21', '8d08c7ea1726e42c', '5d3116380b1a12ed', 'c8d451059ee45199', '7101541e2e4954a0', '82052140f174ac58', '7eec4596331ce590', '958fe0064cdf4fa3', 'af337d532480c9fc', 'c3c8116aa7b8bd72', 'f7de3e254a610c99', '13fb5d75101de85f', 'd03638b6a5e9ea98', 'b2c8cf3f01c1260f']; context = [[41, 70], [96, 125], [45, 76], [6, 36], [0, 29], [44, 77], [15, 48], [114, 147], [133, 165], [135, 168], [12, 42], [77, 112], [14, 47], [77, 108], [3, 36], [56, 89]]; loss = 0.012211 low_pass_filter = 0.300
+Epoch 0: | | 6269/? [1:05:08<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 6270; scene = ['a42dd17c389a1fab', '34dfa3f97b956c75', '0bded1b4113313ff', '97e078e5763d88f1', '8d7eb1bbf8729a14', '5bb0264b89a68394', 'ac7cb7de0f9685ae', '069013b86c2b5e99', 'ddda9d33b08dfba9', '9e409d0392d4f763', '2925cbf7ba6f1d8f', '8842ecc795060164', '387b69e395b27574', '3d1b5179f6509fee', 'e4f49bede305510e', '67d2487d7b4bde8a']; context = [[4, 36], [39, 72], [24, 58], [64, 93], [47, 76], [2, 30], [60, 95], [138, 167], [145, 177], [4, 34], [35, 69], [1, 31], [203, 238], [6, 36], [79, 112], [3, 35]]; loss = 0.011891 low_pass_filter = 0.300
+Epoch 0: | | 6279/? [1:05:14<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 6280; scene = ['b7267845bbbf2bd8', 'b256a6f34715b553', '4020994643af2136', '783051dd9020dfe6', 'd933c4814c8fff26', '93856e139485fdc2', '084f6254600e67d8', 'cdd783d1345bb1dc', '41efa10222f0f457', 'be2d60a8f801c080', '0470da7b9a57db02', '6427a92bd26fcfa8', '323bdfae8bc5f180', 'b4e91f9bcd03f6c7', '38f50a03d51f7cd4', 'aa09352702c3e9ec']; context = [[37, 68], [88, 120], [0, 32], [109, 140], [21, 55], [42, 75], [40, 74], [149, 178], [13, 45], [25, 60], [134, 168], [24, 53], [25, 57], [42, 73], [38, 71], [33, 62]]; loss = 0.011700 low_pass_filter = 0.300
+Epoch 0: | | 6289/? [1:05:20<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 6290; scene = ['9aa8bb12a358a321', '19bbea9cd53e2900', 'b3bdd93444967e32', 'b94d375ab2d2cc1d', 'bd11fed87668a3fa', 'c7e3d08428472eb9', 'a296d5cba5f086b5', 'eba9280b3b5f62bb', '52728d137e221123', 'c1432ad50b513b5c', '6bd51046c0095f98', 'ea924043a3f5c5c3', '35789bad85a45ba0', '3cc43661190764da', '7ecd8192e83bd9bc', '3670ced044c09f1c']; context = [[101, 130], [124, 154], [64, 97], [14, 43], [31, 60], [92, 127], [14, 46], [115, 144], [7, 41], [48, 76], [25, 54], [84, 119], [1, 32], [202, 232], [37, 68], [2, 30]]; loss = 0.012072 low_pass_filter = 0.300
+Epoch 0: | | 6299/? [1:05:26<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 6300; scene = ['1e070505986c54a5', '624486ee37748faf', 'ae1755f58300ea88', '1873d83890130cc5', '4fa8e4f5149aa699', 'd9821e4efde3a1a8', '0ff090d3c369f6c8', '14053624ed480f07', '32c4e7e7620ca3ab', '0a33e2c93db81d0d', 'b5e61c43daaee8a7', 'a3c7fde6913f3129', '9ed9d087eb810705', 'a6715bda26811e65', '7357221d2b544d6d', 'e8d513561d262165']; context = [[63, 95], [64, 98], [0, 32], [16, 45], [4, 39], [57, 88], [46, 76], [212, 243], [12, 44], [63, 94], [118, 149], [99, 127], [32, 60], [22, 53], [34, 65], [15, 44]]; loss = 0.010431 low_pass_filter = 0.300
+Epoch 0: | | 6309/? [1:05:32<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.00train step 6310; scene = ['ff3eee34e57cf3e5', '67bd3eefd07e6042', 'a1d5d19d06c605ef', 'c02870011a3c5afa', 'bb921538d58b7231', 'b0c97926eca1b63b', '710fcd11025c6ce5', '3a4e08a3f02ad769', '93b36a54151e085e', 'cd69cde6b6bab65c', 'b7bd6d27ca23e643', 'd358cb839f4c7497', 'd1330eb904da306a', 'bf0e2d3e9c2df580', 'fa858bff135c195b', '0ada6fc4284b7559']; context = [[41, 69], [97, 128], [42, 76], [10, 44], [22, 56], [54, 88], [6, 39], [43, 78], [91, 126], [11, 46], [17, 48], [12, 46], [56, 84], [122, 152], [2, 36], [30, 61]]; loss = 0.012034 low_pass_filter = 0.300
+Epoch 0: | | 6319/? [1:05:38<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 6320; scene = ['a8159d5139330794', '26a57e64e16d1b10', '0c5b80baf8409a20', '461f43457daa4b50', '5e1cb673bf14592c', '00e3ca22a19234c6', '2048a925828db781', 'ad10e1f4f1c67e4f', '1648401b99f56c6f', 'c455ad56b54ebf33', '3371673f5019416a', 'f5fd8bc3c0c06cb3', '4318b7c4cab511be', '37ca0025deca4413', '17ceb953ebcd73a3', '9f1432341e057935']; context = [[5, 40], [13, 45], [57, 85], [110, 141], [19, 54], [86, 116], [4, 35], [32, 61], [58, 91], [149, 181], [113, 145], [138, 171], [1, 31], [1, 34], [1, 36], [41, 74]]; loss = 0.011026 low_pass_filter = 0.300
+Epoch 0: | | 6329/? [1:05:44<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 6330; scene = ['61e3e84381035cff', '5a3813f3a3a54500', '27f4e49e83874403', '9b83f1a3f85059e8', '762c6ce5eddd3d49', '3265a83065359f0b', 'c8c116c28ca108b0', '58aec0707d094569', '656546e561aec370', 'db062134f9dec5f1', '6713a81ed431d91d', 'db25ce184054217a', 'c37054cf8ffe745a', '17fd1455db906f86', 'd34fb0e92018e2a2', 'da127d5d82256afd']; context = [[175, 210], [4, 36], [221, 256], [10, 39], [8, 36], [173, 207], [136, 168], [67, 102], [45, 80], [8, 37], [164, 199], [98, 128], [214, 244], [1, 30], [0, 30], [12, 42]]; loss = 0.012757 low_pass_filter = 0.300
+Epoch 0: | | 6339/? [1:05:51<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.00train step 6340; scene = ['66680f2ffd969227', '7de38ac4e903910f', '455ef17251608d98', '9388ca301f4e0bd1', '8dd198d245a49bd5', '86440d86f60644b7', '19d9966b8862aca3', '968ff100023b7cfd', 'd7b308d30c7e7630', '0a1ca07f00de4dbd', 'b66059464cc436c0', 'b52203577bf5ab66', '9a9613d89b1c8587', 'f19f3a8c609a931e', '662a9e07c239751f', '3c6672f82f7440d0']; context = [[2, 31], [108, 136], [26, 61], [3, 34], [12, 46], [70, 99], [20, 51], [75, 104], [39, 74], [36, 68], [2, 33], [20, 51], [168, 199], [38, 67], [49, 78], [5, 38]]; loss = 0.011961 low_pass_filter = 0.300
+Epoch 0: | | 6349/? [1:05:57<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 6350; scene = ['888bf64fd7dab7fb', 'c3d4357faf0629eb', 'c5a156ed24138140', '564ba7db455ecc8a', '858a56679ac008f3', 'bc4a463315bb06d5', '26d62f7d40ec88fe', '3698e5e9d4d1401e', 'bdacd02f0e4a8f39', '5c92b85085b1ca15', '70259ee1fe26f85b', '952266003cf8ccc1', 'b94d375ab2d2cc1d', '19bbea9cd53e2900', '9aa8bb12a358a321', 'f8de6ddeeee4a948']; context = [[61, 92], [32, 64], [146, 176], [1, 31], [3, 33], [109, 137], [213, 241], [11, 41], [8, 41], [91, 120], [85, 117], [74, 102], [47, 77], [105, 135], [10, 39], [28, 58]]; loss = 0.012489 low_pass_filter = 0.300
+Epoch 0: | | 6359/? [1:06:03<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 6360; scene = ['509aa3fc9305eb97', '4239b3c0bca9c8dc', '2ac05e9d999a0606', '6daa1ca4f0955baa', 'f6b4c51274377db3', '5d3751961c92953c', '86937751406e1534', 'a191c34eb75bbaec', 'bd834d7c62374c59', 'f1a7d46e25785471', '69a6e3951e138ca8', '069c4f8d7a3225b4', '63ea3195b2c0c4ba', '4be7b2dbfbb85134', '097a068e47a7ae49', 'f4a34387a442d930']; context = [[85, 120], [31, 65], [107, 140], [22, 57], [13, 41], [8, 43], [0, 29], [32, 62], [22, 56], [68, 101], [34, 69], [15, 49], [109, 140], [24, 56], [0, 32], [38, 67]]; loss = 0.014370 low_pass_filter = 0.300
+Epoch 0: | | 6369/? [1:06:09<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.00train step 6370; scene = ['f0ff5249cfacd78e', '887489db725c85cf', '5bd435613019cce4', 'c42bcfafd9cb444b', '2b7562bb978b9c55', 'bfe8156cb1a8579f', '9afee95cff0812ea', 'ca9b38ce47bfa104', 'bd1fd2adaa7237b2', '00eb888adeb84cab', '313d30db9151485e', 'e2d00dfb8912d7de', '17ceb953ebcd73a3', '2048a925828db781', '3371673f5019416a', 'ad10e1f4f1c67e4f']; context = [[33, 64], [205, 237], [2, 37], [25, 54], [70, 104], [13, 41], [147, 177], [0, 34], [35, 63], [50, 81], [5, 37], [19, 54], [75, 103], [112, 145], [33, 62], [51, 82]]; loss = 0.009487 low_pass_filter = 0.300
+Epoch 0: | | 6379/? [1:06:15<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 6380; scene = ['b130ee80182f5a4c', 'a8d73f79bd0991a2', '1c5722cd92190398', '1ccf8e66b3204773', 'c29d5f58f66a9102', '3421821e39949234', '1bd50f99c461fa1e', 'e5406e09b4bd291d', 'e3163ed6369a0cc5', '3354fd1e4ed18583', '61e3f2a90af611b2', 'a2a4bb9b88e3f271', '2e42cb5881b4a406', '32f5d4268f84fbd7', '863db1233b424c9e', '8f937b1a518a93b5']; context = [[114, 144], [21, 55], [28, 60], [161, 191], [30, 60], [117, 148], [7, 41], [120, 150], [18, 53], [67, 97], [53, 85], [56, 84], [237, 270], [21, 55], [0, 31], [5, 38]]; loss = 0.010078 low_pass_filter = 0.300
+Epoch 0: | | 6389/? [1:06:21<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 6390; scene = ['804a28c80dbb7cf6', '40a36a6b415dcae5', '7f2487897b9a59ba', 'd8b1092e3ee04227', 'e2a60d710e081071', 'b123dd2c895e2267', '06a5584434579664', '3c13718c6eb48df3', '1fbf35024dbf8d68', '40310afa91e30b40', 'a0a563271ffc0f65', '693fbf5b514480f0', 'b679f3152c617803', '46c0694e9ea28be3', '3aecc725df673f7e', '03a215962a6aa73f']; context = [[29, 62], [173, 202], [137, 171], [174, 204], [6, 35], [69, 104], [39, 71], [69, 103], [21, 54], [20, 50], [3, 31], [122, 152], [117, 150], [31, 60], [75, 107], [7, 36]]; loss = 0.009916 low_pass_filter = 0.300
+Epoch 0: | | 6399/? [1:06:27<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 6400; scene = ['bfa9042d0f35d6df', '1e55d866b0335343', '7ce59b93cd4d98ac', '63d30096d9447949', 'ecd91cb5b8acbad9', 'c520e25d5bd303ec', '3a23196a9efc08f9', 'b57f18d01f582bb4', 'd29eac762e09103b', '6583004edc10b2ab', '975e9c52315ddd59', 'f7980dfee953056c', '9e8ecfc74a51c2e6', '56fa185e2826487a', 'c93f8db3889b8147', '3780a47aa7d1b0b9']; context = [[4, 38], [12, 42], [29, 57], [56, 86], [57, 91], [51, 83], [236, 269], [6, 39], [48, 82], [152, 185], [20, 51], [6, 38], [43, 72], [28, 57], [127, 156], [60, 91]]; loss = 0.010056 low_pass_filter = 0.300
+Epoch 0: | | 6409/? [1:06:33<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 6410; scene = ['c1429337eae3bdae', '9751e8058f939d35', 'ab1e0faf35dc0be5', '288832141f62b722', '14765a41ce267f7c', 'c98d08efbe25cc18', '31be810a3c76377f', 'c0e14416e501d5b2', '814d0c2bfc701a48', 'a4cce98abe0edccb', '6ee631bcd878630e', 'b1d2c60a3ac8a360', '9cea789f066202b4', '64287c467f9c455b', 'c93ec0822f6593cd', '02031ea8770f3ef7']; context = [[106, 141], [2, 37], [162, 194], [0, 30], [14, 46], [12, 41], [36, 66], [49, 82], [127, 159], [18, 52], [26, 59], [3, 31], [24, 59], [6, 41], [35, 69], [64, 96]]; loss = 0.010368 low_pass_filter = 0.300
+Epoch 0: | | 6419/? [1:06:39<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.00train step 6420; scene = ['7096e6c54a73bbb7', 'f23b53a13e9157ab', '464dbb8da6dfa7ca', '7b767a0221ce1f82', 'c8f3d951b2edde1e', '5a3d833285fcbd2b', 'f01495bd5fb2fef0', 'ba05a98aa0607b00', '463c0e908ba09a7f', '18b42abc37807ecd', 'bb27dd7eebf259b0', '1385c61c89fb3dc8', 'f07fbd53c819dc31', 'd4f76d17144952a6', 'd756f9034c513c4e', 'fa8b1c66012605dd']; context = [[15, 46], [23, 53], [43, 75], [3, 31], [41, 74], [219, 248], [13, 43], [53, 89], [164, 196], [25, 54], [30, 65], [24, 54], [7, 39], [91, 119], [9, 43], [41, 74]]; loss = 0.011405 low_pass_filter = 0.300
+Epoch 0: | | 6429/? [1:06:45<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 6430; scene = ['c474913aab1ebf5c', '88486351f619919e', 'fac67aa77bcafd10', '7d50b3a07e52acff', '7e39808967de46fd', '89cbee6e1a545e3c', 'a186d207ceb04a3e', '03e2367ca6e441ed', '5ac2a4b054c3af89', '51289aa1b1943159', 'e08818e4ab5232b0', '3689a99fb9aba35b', '27ba4ece5f7f5fb0', '4224582c00348ddb', 'b1445eea64734834', '2824dd170b15dbe3']; context = [[13, 44], [35, 68], [3, 36], [39, 72], [3, 35], [20, 52], [10, 40], [16, 52], [221, 252], [15, 48], [26, 60], [142, 178], [17, 45], [5, 39], [75, 106], [16, 49]]; loss = 0.009262 low_pass_filter = 0.300
+Epoch 0: | | 6439/? [1:06:51<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 6440; scene = ['6287d38e05cac533', '3966776b9405bb07', '64ad08063f129a06', '326dd7b41ce515ac', 'd6dcef8ef3405d4a', '2184b89353ea3527', 'a1abef854099368f', 'e7f194ddf2bdd94f', '135cc677e20df588', 'c2083e2d07063bdc', '3bcd60aa10534c91', '0635a3619c622723', '1eb802d8fe855ed6', '873e47aefa88e8cc', '5b6d2302ce6b01fe', 'ed53bf7b8e6dc9d1']; context = [[3, 39], [19, 49], [179, 210], [24, 52], [20, 54], [217, 246], [17, 49], [4, 33], [197, 227], [8, 42], [146, 177], [47, 80], [67, 102], [27, 63], [17, 48], [64, 93]]; loss = 0.014822 low_pass_filter = 0.300
+Epoch 0: | | 6449/? [1:06:57<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 6450; scene = ['b413fae69c400d34', 'add5a0ceec02fe34', '1c0ca2e3cc6be372', '7a26af750ba9ab8e', '3de83835be367bdf', '5ea5a5ed231c5753', 'c386044808598461', 'daff359bb3c9a72d', '23455f0f5d2567ec', '0f6bd86d073ffa4b', '6d1341b87237bb6a', '8d2cc65bc5823183', '82cdc87bb2169311', '7be1f03b786006fc', '20607fd2e40f16c9', '9aecffee631175f9']; context = [[43, 71], [6, 37], [15, 47], [10, 45], [19, 54], [11, 43], [1, 34], [170, 200], [1, 32], [12, 44], [38, 67], [32, 60], [95, 124], [50, 80], [16, 48], [179, 211]]; loss = 0.011152 low_pass_filter = 0.300
+Epoch 0: | | 6459/? [1:07:03<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.00train step 6460; scene = ['7d224cf5d21ac550', '3107f55855aaac8e', '6e5c796fcf4536da', 'cf28c4553759a3d3', 'c4876402c765d235', '72fe1f7792f18024', '87d6f3be9dc23e27', '1ce11184b4533d8f', '7715cf124575870d', 'e0be076bbc19ccf4', '132b518d21ec0496', '0d647f8c15b77aff', '18ea0f573a5be31b', 'd7aa434fdd523b05', '46ce7490a1d4098a', 'd43782bc52efc05f']; context = [[1, 29], [41, 73], [19, 55], [8, 42], [9, 38], [9, 40], [14, 45], [14, 47], [216, 245], [54, 83], [162, 194], [72, 102], [21, 52], [0, 28], [4, 38], [166, 199]]; loss = 0.010771 low_pass_filter = 0.300
+Epoch 0: | | 6469/? [1:07:08<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 6470; scene = ['e398b4c185dfe0ec', 'ac7a43e9429a0052', 'a3258db2b20d72c9', '8310605001f9033d', 'bae8e9f786e36bdd', 'fd9bbfa2cdf4f527', 'de764d0866fd6579', '6e5b881edbc8853a', '4f53cea3b8ae5ece', 'a33629c64ce117d4', '17384a4de1d3a10b', '834119d6d119fe85', '9d672acc0ae342fb', '9b48f28a886221dc', '784a7e6869056799', '16b4e82873823f23']; context = [[0, 28], [15, 46], [37, 67], [1, 34], [81, 112], [2, 38], [134, 170], [109, 138], [71, 103], [14, 48], [7, 41], [56, 87], [8, 43], [29, 60], [24, 53], [46, 75]]; loss = 0.011056 low_pass_filter = 0.300
+Epoch 0: | | 6479/? [1:07:15<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 6480; scene = ['60f44760b582383d', 'a60d879f1277a549', '3aebea0441273ddb', 'd5272ec25feb6ba1', 'f407dfbf20e9cdd8', '3aa51ffb5daa1f14', 'd6ea07dbb2167eb5', '406118df679fdf02', '3762a77b150981a7', 'fa337fc40abfcd03', '80998e4a83ad49a1', 'af266e9907e855a3', '4c4cb796127df3c8', '7856307929acbfc8', '1b632edc8e057995', '00407b3f1bad1493']; context = [[103, 133], [36, 64], [19, 51], [21, 57], [41, 70], [10, 45], [24, 52], [37, 71], [5, 41], [132, 164], [1, 35], [33, 69], [33, 63], [33, 61], [11, 41], [30, 64]]; loss = 0.012203 low_pass_filter = 0.300
+Epoch 0: | | 6489/? [1:07:21<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 6490; scene = ['7caf9a683e5004e1', '91f3903b83e314c9', '2371de80f56e9707', '9c2b47a9a5a229cd', 'ca842b977ede6e8e', '19d2cf167593bdb1', 'e367fd33b59dbf40', '0af84dfcb9f53f97', '68dd157e5cdb64bf', '95e435653707db95', '86ade92fdd01c027', 'df1b7ba1b76c0fd2', '07f649f009a0ad83', '0dcfcde90eebe469', '528b96fa2edce81a', 'f21dea2e3ed6d91c']; context = [[27, 61], [46, 79], [101, 137], [45, 74], [6, 39], [36, 68], [56, 91], [62, 98], [67, 97], [42, 70], [82, 117], [79, 111], [160, 188], [2, 33], [14, 44], [77, 107]]; loss = 0.010382 low_pass_filter = 0.300
+Epoch 0: | | 6499/? [1:07:27<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 6500; scene = ['d0ee747ebdd26d7f', 'afefafce8f467d96', 'bd8103bcb04d32e1', '895fe07be01436f1', 'f26e8a72f69b6153', '89fbc4149a5d7348', 'f26c35b6e5dca2b9', 'f716f2c75818e81b', 'cf448a6667449deb', 'd7ca12daf958dfb0', 'ce49d261f160bec5', '59a2c3a5b8a6bffb', '1d76416a352af266', '93db4526d3da8de5', '8796d47632100ac7', '28c7a26b633278b6']; context = [[83, 115], [5, 39], [4, 37], [20, 53], [24, 59], [42, 77], [19, 55], [60, 92], [18, 53], [14, 49], [26, 57], [63, 96], [75, 104], [107, 141], [45, 74], [67, 98]]; loss = 0.011855 low_pass_filter = 0.300
+Epoch 0: | | 6509/? [1:07:33<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 6510; scene = ['c36f74da56624bd1', 'f5dab08eb895b9ee', '18482d88135a659d', 'd6fd8b9f46aad33f', '5b1868f7fba0e332', '3e43caeaa20014b3', 'abfeea3161d48386', '2a6d1957a9650cf7', 'b39d068c042892bd', '9bffc77b620ec199', '4493b7d50eda3799', 'c1bed67f2b905373', '99d19ee61f82d027', 'e5d330804f22bdb0', '1a85ef99f6b5ff47', '8fd587f27eb122f8']; context = [[20, 53], [21, 51], [5, 35], [5, 35], [9, 42], [13, 49], [140, 173], [34, 68], [228, 256], [8, 44], [29, 65], [3, 35], [12, 45], [0, 30], [30, 59], [74, 110]]; loss = 0.012174 low_pass_filter = 0.300
+Epoch 0: | | 6519/? [1:07:39<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 6520; scene = ['7d421b7ed969692e', '3a3e444a266111a8', '75ad99f487478b9d', '25f075f3ff1a965f', '503c1ba7fd62e506', '606170b130cd4e83', '18f88993908bd910', 'af3fdd67523bddba', '4c477aa6361a0fde', '332f713c774753c5', '05545258ef753fc9', 'd33f35a46b270c6d', 'ac92cc602ac3cffd', '648c4e302d8be549', '9191b2f74c5e2a97', '4fd60025fa875e4f']; context = [[66, 97], [64, 99], [105, 139], [19, 49], [68, 101], [25, 54], [83, 119], [22, 58], [20, 51], [120, 155], [41, 74], [9, 39], [45, 77], [40, 69], [53, 89], [2, 34]]; loss = 0.009283 low_pass_filter = 0.300
+Epoch 0: | | 6529/? [1:07:45<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 6530; scene = ['0ad07becd5278e08', '9895ddb78dfb1d04', 'f70e853af8735679', '5c17394155748093', 'f231ec8aae351c5d', '08fb0a49e76ae00d', 'f05b0d2de6f263ff', '5441c943ec7a6606', 'cfee77c0ae0956f8', 'e4501419231443b0', 'fe2eddcb5f8419b0', 'e40d0e8bef4155ed', '9f9f9beffb86fad7', 'b14bc591c46c4b84', '346797eb0e9a8369', '88f74dbcace1df00']; context = [[52, 87], [6, 36], [1, 36], [61, 93], [0, 28], [78, 106], [40, 73], [176, 206], [69, 100], [32, 63], [57, 90], [142, 174], [168, 198], [123, 153], [12, 44], [13, 47]]; loss = 0.011266 low_pass_filter = 0.300
+Epoch 0: | | 6539/? [1:07:51<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 6540; scene = ['7822e98d0f6f0d03', '4413283f8f97206a', '294543e5051d23b7', 'f26a68de5e50e0f2', '89865fbae2d079ef', '7cde89954899d263', '6b018f51e78af306', '35da309cfe0271e5', '65c475803b9b5228', 'e63271fb76683a3f', 'f2f21e00e8036928', '0914ab351ada6998', '881d748f1bf21e60', '5e4b0194308cb338', 'ba8683c7d9392cae', 'dec8aa28b4402b50']; context = [[79, 111], [230, 258], [203, 233], [111, 141], [11, 47], [1, 32], [8, 36], [73, 107], [17, 48], [31, 65], [37, 65], [15, 47], [6, 41], [12, 43], [19, 49], [64, 95]]; loss = 0.014670 low_pass_filter = 0.300
+Epoch 0: | | 6549/? [1:07:57<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 6550; scene = ['3e6ad322429b2653', '8a5f209051718c6a', '90030ea28e39cdde', '939b149fc1e94463', '69368851abc7c9e3', 'eaf0e7a5fe9733fd', 'e0ae152da465074f', '4e6e8201992e69d5', '2e5d2e485266da3f', '65be58a8cdaa068a', '202a76a7395c2204', '79d5406890bb5418', 'e195bc4cc8336d33', '5be549a6c70442c5', 'b33135b5df8fa7d7', '2c59402512b86195']; context = [[3, 33], [20, 56], [24, 54], [45, 76], [107, 141], [46, 77], [52, 80], [100, 133], [18, 49], [49, 78], [108, 144], [5, 39], [38, 68], [40, 76], [120, 153], [67, 101]]; loss = 0.009473 low_pass_filter = 0.300
+Epoch 0: | | 6559/? [1:08:03<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 6560; scene = ['c589be27060ee4a9', 'c634b4875dcf3f5a', '7d38125600bbb7dd', '3c4c974cb4c99ec8', '21cdb061965f9b4b', '319f501207f10fa4', 'a679f322e22ef3a4', '7eaa23d04951ffe6', '3dea1f0782724e2b', '0713aabe3917739d', '7e9532ad39a6f4af', 'be553334cc0aecbf', 'c77420b51c2e86d5', '35be366ea8fc6899', '386e71f55a2947db', '04323ad83985f199']; context = [[42, 77], [29, 58], [174, 207], [117, 151], [17, 52], [79, 110], [58, 86], [84, 113], [0, 29], [105, 138], [61, 90], [136, 170], [48, 81], [21, 56], [28, 58], [42, 78]]; loss = 0.011537 low_pass_filter = 0.300
+Epoch 0: | | 6569/? [1:08:09<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 6570; scene = ['5e80b87bc5ef5c2c', 'd87754ed09b69593', 'fddcc097dac1d40e', '7bd2d9814f405529', '7a94507c801001b0', 'd584fda314ab11db', '892c09bee3c83352', 'f3a1d7eb82514692', '8200350e9ff7819c', 'cefa2809ea418e0a', '1fce2d5038f7fe28', 'fb23efe7b4ebf8de', 'c2d169718514f0a8', 'e3e252f0494ff061', 'f44a0546760ccdb6', '7637453da2bff547']; context = [[9, 37], [132, 161], [37, 71], [22, 54], [23, 59], [124, 157], [237, 266], [47, 77], [30, 61], [62, 91], [30, 66], [7, 35], [38, 74], [4, 34], [8, 36], [41, 70]]; loss = 0.013176 low_pass_filter = 0.300
+Epoch 0: | | 6579/? [1:08:15<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 6580; scene = ['1255213b2b061903', '9a7bac27466a58f3', '212a60ee1257a9ac', 'fa06053c189cf9bd', '99316806da246db6', '63f819120b8d8a92', '708a56966ca45d6a', '4ef492d655549076', '560c5720aa4920fd', '9917e6845c5c9f1b', '682946c1834cadb3', '89e29a4ab957f358', '639c91baba7b9b21', '9eab61e9851b04ba', '8a5989ad160852fb', '8053040c68f0f399']; context = [[16, 51], [2, 35], [102, 135], [9, 44], [5, 34], [14, 47], [16, 44], [51, 86], [243, 278], [19, 49], [90, 121], [2, 32], [90, 118], [19, 49], [48, 79], [5, 35]]; loss = 0.012256 low_pass_filter = 0.300
+Epoch 0: | | 6589/? [1:08:21<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 6590; scene = ['4fe12b24324c7c47', 'a695ce29a01dc0b8', 'b6f25dc2b753e432', '7e4fa483bbb17c5b', 'e79f7d5144234b88', 'aab1107e09a45e35', 'a9cd1ed7693da0f3', '012785080357adfd', '042a55e78c9a78bf', 'd5a9be470293e204', 'd1b677821157bbd7', '7645fe1e7ec6456d', 'ec4619c9a04ad474', 'c76d5c37993cd546', '14f431bca6f79d3b', '532eb0e37a511234']; context = [[187, 215], [10, 44], [17, 52], [77, 109], [10, 38], [7, 35], [81, 117], [66, 99], [132, 161], [35, 70], [12, 41], [114, 148], [86, 115], [50, 78], [25, 54], [17, 48]]; loss = 0.011908 low_pass_filter = 0.300
+Epoch 0: | | 6599/? [1:08:27<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 6600; scene = ['d89dddcd0f832366', 'c4e76e1c9deb42b6', '399c27b648b42f81', '234f8c7ac31ef3a9', 'e3cbe7ea76afe8fe', '54c069a69cdc9a5a', '82c4af6d697ddba5', '963389198f0d43c9', '3e67b481ef280294', 'd96447ccfd1daf81', 'db9a1ba4eab8b3c9', '246a0bdee01d12f1', '5816deaba41a899d', '4f07c7aeda6dfd54', '6dc6bdc8ea4b6034', '5ca47925cdd3c7ce']; context = [[82, 116], [211, 244], [92, 121], [136, 165], [17, 53], [21, 55], [45, 74], [34, 69], [17, 53], [121, 149], [30, 63], [10, 38], [6, 41], [76, 108], [156, 192], [152, 181]]; loss = 0.010496 low_pass_filter = 0.300
+Epoch 0: | | 6609/? [1:08:33<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 6610; scene = ['36d35f3147e02798', '259d9eed4743a039', 'd3057752d15cc3ed', 'b612b15137bd9550', '28b4e59156fd7191', 'a5b29ff192bc83b2', 'de20f8c92ca911f8', '9066f7f466ab23f7', '178873c219f7c2b6', '9acff909c8398b6b', '27616b52fb366cdc', '20a30b56b4d0c973', 'ad968558e4c4d63b', '93d6d21d8e5e53ea', 'fd92c868ebb1c008', '01cddbb85517cdc8']; context = [[165, 197], [76, 111], [136, 169], [38, 72], [43, 76], [34, 70], [10, 41], [13, 48], [117, 150], [9, 45], [83, 119], [16, 45], [20, 51], [4, 32], [13, 46], [2, 38]]; loss = 0.012512 low_pass_filter = 0.300
+Epoch 0: | | 6619/? [1:08:39<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 6620; scene = ['a73dbc25f2d906bb', 'e23318bb7072adba', '56e1dd517b505381', 'e6587e90692e3853', 'e3624802b50dec03', 'b903f35fbb538e4d', 'ca856333111218f5', '6e47af576b38cfa9', '4773f9287f61e737', 'd868f3283e0b4b5c', 'e294f1cd6bcdc9e5', '9cf4511625b44389', '94a58590c20a67a6', '49eec4f2aca0a781', 'edb67472914edb3e', '1c2e5f0ee4f0a04d']; context = [[9, 39], [157, 191], [11, 42], [101, 132], [31, 65], [161, 190], [117, 148], [27, 58], [43, 72], [3, 34], [53, 84], [31, 66], [69, 104], [91, 121], [24, 60], [18, 50]]; loss = 0.014054 low_pass_filter = 0.300
+Epoch 0: | | 6629/? [1:08:45<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 6630; scene = ['01a156f1f7828d08', 'e9ae04619bdeca8d', '0397db66e75e11e3', '69ec3d6b148a1b39', '828c3898047387d3', '26bcaa3454a97edc', 'c229ae59e2a819b9', 'fe0f03df1866f24f', '173b19f15ff9a34a', 'bf84e0f38a25ff6b', '939765172ffc74f9', 'dfa445fd1c795422', 'bd9691996bd5d929', 'ca030905abc41a54', 'b38c90b77ef3ad91', 'b84a5c1e7734f562']; context = [[90, 126], [51, 87], [4, 34], [55, 90], [9, 38], [84, 119], [9, 38], [6, 34], [122, 157], [183, 213], [84, 113], [81, 109], [24, 52], [87, 119], [16, 51], [77, 105]]; loss = 0.012605 low_pass_filter = 0.300
+Epoch 0: | | 6639/? [1:08:51<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 6640; scene = ['011f55dfab38099e', '6fa7c62ef1f2df71', '3231aca99e0a8889', '97c5d79bc0c119e7', '303910b1146da10a', 'a31eae8ce8a4dbfd', '02e2f89df1b5a8c9', '44907ce3af3f17e3', '44b88fd41e47df01', '89d86b956405d9d3', '891bccc742646bd1', '2717deca05abb89b', '791434f2b9cbdc39', '1647a773a10129d9', 'dfc2900955735006', '115a398f51307f6b']; context = [[1, 29], [31, 59], [17, 47], [131, 166], [45, 81], [22, 51], [1, 32], [4, 37], [170, 198], [0, 36], [2, 31], [18, 51], [0, 34], [10, 39], [60, 95], [97, 130]]; loss = 0.011357 low_pass_filter = 0.300
+Epoch 0: | | 6649/? [1:08:57<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 6650; scene = ['9e16686cff67cab1', '5d5fcf8a69870c95', 'ba61678ba772d051', '5bff580b11c1d3a4', 'd24ce8f07f8259b0', '08c8a1f3c9da33f6', 'b835141cb69d7442', '788f6579ab4badc4', 'af12b1fbffb8df8c', '7b4d0cb42e1b3197', '8ff9e75e25018b62', 'e910f82449c902f9', 'd8fe2d302732b434', '84e17c90adf82d3f', 'a859d007d39a68f3', '26423478e599c534']; context = [[4, 33], [48, 77], [138, 171], [58, 86], [5, 40], [44, 72], [13, 47], [11, 45], [41, 73], [36, 67], [172, 205], [241, 277], [2, 36], [38, 73], [23, 57], [74, 107]]; loss = 0.009704 low_pass_filter = 0.300
+Epoch 0: | | 6659/? [1:09:03<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 6660; scene = ['4f7381df99227904', '5d9068d775dc5831', '7600a735405a9ed4', 'b2288bf7003d5d4d', 'd3f720cb5f3a67a6', '209d65e786784b86', '97e0f30c6b35264b', '60d296908f43a97a', 'dcea7253ad4502ec', '18cd6ab71c2fbe6c', '5e22c9e85225ce9d', '51a1ab321c659ced', '39fde4cbf205e075', '9d7d3ab47fc3f5ca', '9b34d768bb3ff6c5', '8e511bd9c1d35a91']; context = [[27, 55], [25, 61], [26, 55], [75, 105], [93, 126], [34, 70], [72, 103], [3, 34], [23, 59], [58, 94], [119, 153], [4, 33], [21, 49], [6, 40], [137, 172], [80, 116]]; loss = 0.014127 low_pass_filter = 0.300
+Epoch 0: | | 6669/? [1:09:10<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 6670; scene = ['bf9f368eb8ec8cd6', 'e9b908cc0c604c48', 'a81a866ab3a3399b', '97d29bd86a6ef279', 'aa419c5bb667ac9d', 'b9c81998d729a211', 'f8498de420424276', '67adab670d503371', '6b69daf57ed94a08', '6f164beac14b54d6', '5cb68a057d09b157', 'f51c7c1d017851f7', '2ddce9853610d50f', 'c8539a201de22003', '218ad16a0a54cab4', '31ab8f79c82a3b17']; context = [[76, 107], [88, 118], [19, 51], [66, 99], [94, 125], [20, 51], [15, 47], [63, 96], [186, 214], [67, 100], [99, 127], [53, 87], [54, 82], [1, 29], [33, 64], [42, 70]]; loss = 0.010458 low_pass_filter = 0.300
+Epoch 0: | | 6679/? [1:09:16<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 6680; scene = ['e8ac1d56f76c2071', '4cb365b666eb29d3', '966391dedc9b04e1', '3cb297a2e436d852', '554d150cf9462431', 'b072428b6db26547', '023e9c9e3f381121', 'b21dab4d75b377e0', 'faf6c0d78caab665', '971b496fff5cb3b1', 'd70696962e8d49ca', '7e32519bb8c8a4f1', '6be432fd4ef65e77', 'a8946be78cc27901', 'fd37077f26b2bd87', 'd16e693b39fee4f8']; context = [[140, 174], [77, 113], [77, 112], [11, 41], [49, 77], [2, 37], [87, 118], [44, 76], [225, 254], [55, 90], [91, 127], [40, 71], [84, 114], [100, 131], [154, 183], [62, 98]]; loss = 0.013395 low_pass_filter = 0.300
+Epoch 0: | | 6689/? [1:09:22<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.00train step 6690; scene = ['9041346a076f83b1', '755d004e041d87d0', '4b2f1f91d54eee6d', 'fb80d729fac643d9', 'ac7a29000faca7bb', '79583a9c85264155', 'fb3b1f662e902d9c', '2f7966a5066dfece', 'cf32596390d11d7c', 'c9e03f6cb48161cb', '8bee39901b8fe0f1', '395cbad13a85e090', '5a7ce5ef5d08e4fb', '4897e736ad8f94f3', '01221cc8ac59f560', '093cd19c2092f76f']; context = [[48, 81], [38, 71], [35, 67], [1, 36], [40, 71], [82, 113], [45, 73], [11, 47], [77, 113], [83, 112], [73, 109], [97, 131], [56, 91], [13, 42], [83, 114], [183, 212]]; loss = 0.015841 low_pass_filter = 0.300
+Epoch 0: | | 6699/? [1:09:28<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 6700; scene = ['81b1cf9c807d6c46', '1340a3f9260ae1c0', '16513d114b068a1e', '64494ce8ea7f70aa', '2fd3ab94f4b959fe', '75b728c7db097374', '3658bf340ae1738d', 'a2811cc9b3a2b453', 'ed0da0b777821594', '7dd41fbfa1d8a243', 'f1eae9bf3eb4bbbf', 'e81941e5c1fe55cb', 'dcfd07d4a022b226', 'd9dd6e0b1550b1ee', 'c74969cf2d6052dc', 'eefdafedf732e5b0']; context = [[5, 40], [120, 150], [2, 30], [60, 90], [41, 76], [107, 141], [97, 132], [25, 56], [23, 52], [4, 38], [19, 54], [42, 72], [133, 163], [78, 114], [111, 146], [63, 92]]; loss = 0.011202 low_pass_filter = 0.300
+Epoch 0: | | 6709/? [1:09:34<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.00train step 6710; scene = ['b707f31c1bde13ec', '33e9961fed513e93', 'dd7eb3fbaa5f4f3d', '12c4de84fb2e9389', '46646c26665e3f89', '2403833c4c2ebe00', 'f1a0c44d75a58a05', '7c999c01839d3528', 'ee04aad516236ac5', 'be18017f4d4cf364', 'a5bcc915ecbc820e', '2d32c57a5f20c22d', '1b27411dddfd34d5', '831ee308d40b2fbf', '2b8d0be3084de62e', '59cb0041b86b8912']; context = [[2, 38], [54, 86], [95, 124], [138, 170], [46, 79], [73, 102], [3, 34], [16, 49], [17, 46], [129, 162], [34, 66], [99, 129], [25, 57], [40, 74], [28, 56], [48, 83]]; loss = 0.012873 low_pass_filter = 0.300
+Epoch 0: | | 6719/? [1:09:40<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 6720; scene = ['90686fbf5ca9bd0a', '2804817967c9ab8b', 'f1868b9a35ac85cb', '8096be2fbf236584', '954d57d0d07c04fe', '0e0ca1c8d817169e', '834e18c30dbe2cc5', '7878ff9d2f929bff', '37611e9bc362b1f9', '11da16bd945c4985', '3758b996400d2c1b', 'bc060d48a36d78e0', 'ea993320b24455cc', '5e2ffa0856f7732f', 'de9b8b8e08b9a045', 'cf3fa6c4bacc2e97']; context = [[37, 73], [56, 91], [0, 33], [0, 30], [68, 98], [137, 172], [11, 47], [7, 40], [1, 36], [11, 39], [3, 32], [10, 45], [57, 90], [34, 62], [8, 41], [20, 56]]; loss = 0.010271 low_pass_filter = 0.300
+Epoch 0: | | 6729/? [1:09:46<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 6730; scene = ['2dd2a1adc0c1d4cc', 'bfacba0a18500c13', '8b3765816a0cb218', '841c8115deb71c25', '63bd9bcdaac4b19f', 'b04ddf89db9147f7', '685f8dbbf5c8f207', 'dce3791efbb4453e', '94c24998ecc23097', 'f784e04c9e814dce', '106b750ca62bc0ef', '94f19a13fb2a5171', '774f9004411d149c', 'f0d2bd621012431f', '6cc87d3f3948183e', '9e01fa07e911197d']; context = [[113, 144], [26, 54], [14, 42], [60, 94], [172, 202], [14, 42], [15, 45], [43, 76], [5, 41], [9, 40], [0, 32], [98, 133], [30, 62], [14, 46], [66, 96], [56, 89]]; loss = 0.010348 low_pass_filter = 0.300
+Epoch 0: | | 6739/? [1:09:52<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 6740; scene = ['7b9e86414a13f2b4', '0e9fa8ac3375dc4e', '663b93fc3193d34a', '4ae2f7b21c9aa2a2', 'd3f4e707073c529e', '8e01007ac5b9a2d4', 'f1b5a6dcfedb390c', '6e46379a7ad5ea92', 'c51c7bc0c8151abb', '30635ca8f58d53fb', '783cc6843cfac78d', '5c7e81ed74cd0615', '64596f1845d89dc2', '4af9e23605ed2f5d', '711049f79f182de4', '5e28f56e00a41125']; context = [[82, 111], [6, 39], [20, 51], [182, 218], [53, 81], [181, 213], [23, 53], [72, 105], [41, 74], [24, 59], [80, 110], [7, 37], [236, 264], [3, 36], [144, 176], [52, 84]]; loss = 0.012688 low_pass_filter = 0.300
+Epoch 0: | | 6749/? [1:09:58<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 6750; scene = ['c12b4b8fce580e89', '004a40da569ee807', 'da2b6199a9135d43', '1844d01379136fde', '703860a4a2fc4649', '4b846a205819d8e5', '8c9eb97a7653d4f0', '06fbc8d45e60e49b', '87fa399fdd73af24', 'd3cd37f926d8a6ed', '32067753f8e8d4e0', '35b175d2b24bbb7b', '851c56423e13bfa1', '51871f23bb65dd5f', '96505316a4f6a36e', '680269475a3d39bd']; context = [[95, 126], [40, 74], [24, 54], [7, 36], [11, 47], [1, 29], [9, 40], [7, 36], [32, 64], [116, 148], [82, 112], [76, 110], [148, 182], [53, 87], [18, 47], [14, 47]]; loss = 0.010344 low_pass_filter = 0.300
+Epoch 0: | | 6759/? [1:10:04<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 6760; scene = ['0a867cc860e401c1', '4200ec0bb3b50364', '12c8176c5f4d7346', '6cb287ff59076f0e', '9c2edc6892073f83', '286dfd7bb4272913', '70516082a453975d', '22ac9959a46f52f6', '4dad6319d4caba1b', '399fe2852ab9fd58', 'aa6d444d58a5e7e3', 'f757d683875ba54a', '2a02d4281c5b97bb', '83f4d34bc2deafe1', '85f6a09d7c0ed82e', '65ac09e0c0c2c35f']; context = [[71, 103], [40, 69], [23, 54], [125, 161], [13, 41], [8, 44], [23, 56], [56, 89], [2, 32], [61, 92], [21, 53], [37, 73], [39, 70], [8, 38], [105, 134], [10, 40]]; loss = 0.009524 low_pass_filter = 0.300
+Epoch 0: | | 6769/? [1:10:10<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 6770; scene = ['c5cd9e05ad7cf071', 'fa53f1b36141b70e', '5a381d983f188dea', 'c338130533ffe9c6', '10fb078e6071ef83', '1b2a34dbcd2008c3', '06962ad8a4f32b92', 'e3d4e9a54bc5f67e', 'fcd5ce54c96bbdc4', '88757490a352159b', 'c6f9df8f7eed7728', '5fd54bb5819e9564', '9ff079a7d20b61af', 'efc03ccc68e50504', 'fd58f65ca879b900', 'ab1d4518292e91ea']; context = [[35, 66], [217, 253], [7, 39], [27, 61], [9, 45], [11, 40], [25, 59], [206, 238], [10, 39], [66, 100], [157, 188], [183, 215], [39, 71], [81, 115], [55, 86], [102, 135]]; loss = 0.009666 low_pass_filter = 0.300
+Epoch 0: | | 6779/? [1:10:16<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.00train step 6780; scene = ['9749a18e36b8b4ca', '00a87dd567cdc292', '977e456b8e36321a', '222acb29d1b3c2aa', '23ada50ed2964f18', 'c4ba30d763bede27', '6c9d79c745a5ddec', 'e93ef07a12e65021', '73b326a2356225fc', '0b34be2996de2167', 'bf1e6a67f6bf9b82', 'ebfd99428653bec9', '645468bec5948f05', 'a1e67b5c38a3c0c7', '33fee065c3e83dbb', 'aebba824d31656fe']; context = [[98, 126], [149, 184], [246, 277], [29, 65], [3, 33], [17, 45], [21, 57], [87, 117], [99, 130], [15, 49], [141, 171], [69, 101], [3, 31], [141, 174], [36, 67], [10, 40]]; loss = 0.011784 low_pass_filter = 0.300
+Epoch 0: | | 6789/? [1:10:22<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 6790; scene = ['556db71008eeda6e', '88af5684bdc239d0', '1f44e8ba6f9ec746', 'db4b14c9bc399d19', '6564e787f68e8472', 'a9ffa32973bd4581', 'e5f7a6ac3ae2f34d', '584493d7bc09ccb4', 'feac8b784fcd5592', 'bf716d89d4fa9e50', 'a690352549316d80', 'bea9a5616b6568be', 'b5962106567a3f6a', 'a8e322c05f5ee05f', 'ea8b2c80d239bcc1', 'd706f9af100f0c57']; context = [[32, 66], [46, 80], [214, 246], [22, 52], [19, 47], [40, 71], [54, 89], [108, 144], [0, 31], [69, 97], [97, 126], [57, 87], [18, 50], [30, 59], [23, 58], [22, 54]]; loss = 0.009635 low_pass_filter = 0.300
+Epoch 0: | | 6799/? [1:10:28<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.00train step 6800; scene = ['ec2e3374601803b6', 'e88d5253019ba9b1', '0b7b90f5257ba949', '8fbdd274e2aad712', '592c5f3839bd3b3c', '4a7cdb52e115a287', '19d96b6971317c11', '774aca02e8b8b2a9', '8003d7f1ce1ddcf1', '6a4f9df3e53abd9f', '0d9483dc76901c4a', '59baa163bc171083', '23f62714f8f083e3', 'f0cf1b2ba4f1fbae', '44622d3502746b3f', '225b13acb75305bd']; context = [[0, 33], [8, 43], [2, 38], [137, 168], [144, 177], [26, 62], [36, 65], [76, 106], [93, 124], [3, 34], [102, 134], [0, 29], [32, 60], [0, 29], [148, 177], [2, 31]]; loss = 0.011500 low_pass_filter = 0.300
+Epoch 0: | | 6809/? [1:10:34<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 6810; scene = ['7678c8df1a133c97', 'b831ee2e69f105bc', 'e09381fbc7d917df', 'ac53955bee2ad533', 'f122ea05abe66bf7', 'e364559c1d25e09d', '9ec6a602c5bbae52', 'dfdb88c1a5ca0d75', '1499200a3d82435f', 'cb305b0a8ddac4fd', '421498827f9e9e3c', '06fc18da65b07b30', '14e2ed89ae5008f6', 'dc7df91fbccf6e65', '60bfa053d499254f', '9994269c5a207df2']; context = [[1, 32], [203, 232], [19, 50], [3, 34], [7, 35], [40, 76], [14, 45], [194, 227], [0, 29], [65, 93], [205, 234], [223, 252], [85, 116], [44, 80], [205, 233], [70, 104]]; loss = 0.009756 low_pass_filter = 0.300
+Epoch 0: | | 6819/? [1:10:40<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.00train step 6820; scene = ['2e25e9e465061299', 'c640e04e1fb1f343', '97be57ad8c57e50e', '3d749bb4c9d572de', 'd6acf1a3ce5c4987', '38bca052a0bd63ea', 'b8b663fa868cf351', '906665c2d458dd5f', 'ffc8d0b26207836b', 'e29e594e3e97c9c6', '24460889a8c443ff', 'b3b4c7f9d5867f2c', 'c3304db266ab3450', 'd8f2630243a1b1f3', 'fa7396bfc2bc3827', 'fbc840da741ebf72']; context = [[39, 71], [7, 38], [171, 201], [30, 59], [93, 127], [39, 73], [33, 69], [58, 90], [87, 122], [34, 62], [27, 55], [28, 62], [114, 150], [17, 53], [71, 104], [19, 51]]; loss = 0.010266 low_pass_filter = 0.300
+Epoch 0: | | 6829/? [1:10:46<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 6830; scene = ['54f982f5c8b1115e', '932378f771303fbb', 'ac6761b9095c24f5', '2365b39d703e65f5', 'af520f62a535aa1c', '669ba2fa4da6a5fe', '31d5682b2f1ea580', '88125aa22fd8aab9', '23080c60697e15f6', '3fcbe0bac84583c3', '6634e1e36f6c5ee7', '6a4023f9a3212fdc', 'ce290e98b347b126', 'dfe34dee3ab76515', '54729a83bd8068c3', '6b1f86e9e65ba131']; context = [[36, 65], [42, 75], [4, 38], [49, 82], [54, 82], [73, 108], [19, 53], [59, 94], [57, 85], [38, 66], [0, 34], [147, 179], [16, 47], [3, 33], [74, 108], [38, 71]]; loss = 0.014240 low_pass_filter = 0.300
+Epoch 0: | | 6839/? [1:10:52<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 6840; scene = ['954740f1e0accd65', '36853991baf0f696', '2a10024761431c76', '26f5dd24331bae0d', 'dc988e289b069887', '36c6ba1b40a771c7', '23f13d65e748dc16', 'b29a314a531319f9', 'bc8eb67c9d7fb4f1', 'f07a8be5e54b332a', '55d8b80f7cc186ab', 'b9e587880452c81a', '07dc6a8ad1c2795b', 'e5a1230e691772f9', '9139e7dbcfc77277', '2df17fc3be490939']; context = [[221, 254], [8, 40], [1, 29], [79, 114], [21, 52], [7, 41], [114, 144], [180, 209], [51, 81], [64, 93], [39, 75], [54, 89], [235, 266], [120, 148], [209, 239], [14, 48]]; loss = 0.010272 low_pass_filter = 0.300
+Epoch 0: | | 6849/? [1:10:58<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 6850; scene = ['53a8bb87641bd35b', 'b077b634286dbbe9', '3522956c0f83534d', '3f62f46c54c21cf2', '1a20aac3a317d67e', '62560eba3ba6f77a', '0a3c5ae29bf2cb59', 'ed6c9a5913622c3d', '9beaef3924b260b5', '231964ce719fed4c', '4705db5f75ab548e', '41986a305a19ca1d', '593292727003667d', '5c872adf4f12de84', 'd72247691e33a958', '8fcf794ba892a383']; context = [[135, 171], [20, 50], [0, 36], [4, 36], [42, 74], [2, 37], [103, 133], [56, 89], [83, 113], [17, 50], [198, 229], [159, 187], [77, 112], [80, 114], [19, 52], [3, 33]]; loss = 0.011836 low_pass_filter = 0.300
+Epoch 0: | | 6859/? [1:11:04<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 6860; scene = ['357ad9c49b80724b', '793708890c361a00', 'd60f30aa087b87cb', 'e4e90e143157bcd4', '5c12d0e4b30e7d1f', 'e80dbf2f8aa076de', 'edc12d141059e496', '6f842ac896c325b6', 'b95e6cbb519ddddc', 'd7f009ec2ab543f3', '8f87ee764e31cf83', '0ccdaba69c14f332', 'fc0ba1bf5a6cbd74', 'd70696962e8d49ca', 'a8946be78cc27901', '6be432fd4ef65e77']; context = [[2, 31], [26, 56], [47, 79], [62, 94], [53, 89], [7, 42], [7, 37], [13, 42], [2, 38], [185, 217], [23, 57], [6, 41], [20, 49], [16, 44], [117, 145], [79, 111]]; loss = 0.012972 low_pass_filter = 0.300
+Epoch 0: | | 6869/? [1:11:10<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 6870; scene = ['ad0905e8a8dc08df', '1c71c8e9e6c71a6f', 'a8b1d904336c4a70', '81323576180ae2d0', '2e4ade10d31deb93', 'aedef21a13f39ebf', '037b77f7cc0565e4', '6107ebfec4cb10db', '744ef2c904ab063c', '9ae93c878c7dbe8a', 'e6461cee8a9474d5', '3b37f7f58ab83fc0', '5d986af113fbac56', '3c7144d9d955132c', 'fe8feaca8c0571aa', '10c430f0b55254a1']; context = [[6, 37], [1, 36], [96, 128], [13, 43], [4, 36], [33, 68], [23, 54], [9, 43], [93, 125], [51, 79], [36, 71], [46, 78], [84, 116], [16, 48], [5, 40], [7, 35]]; loss = 0.012885 low_pass_filter = 0.300
+Epoch 0: | | 6879/? [1:11:16<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 6880; scene = ['65ca4812c80ba806', 'bb1757b78d7c2c4c', '40655ef994aa4830', 'b4cb12731a693d63', 'ff1d2975de62c75c', 'aded09e472c481df', 'c27a58dab30fbcc2', '8987627b29eff8a0', '8f965746e016155f', '5f1eb519a6b1b975', '22e5318eb8d1a4e9', '00c14c53270e07a6', '51098eb8a77e3976', 'a464ead502832cec', 'f450b5eb36699b57', '7bb5cce3ca41718a']; context = [[3, 36], [7, 42], [69, 99], [10, 40], [209, 243], [21, 56], [24, 57], [65, 97], [98, 128], [50, 80], [92, 122], [92, 128], [4, 34], [88, 123], [174, 209], [12, 48]]; loss = 0.009679 low_pass_filter = 0.300
+Epoch 0: | | 6889/? [1:11:22<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 6890; scene = ['55bf44ae6e9fdee5', '317accb265343cee', '6df172462e2547f2', '1b778f72bbee1f27', '24cf93a2d2d5d464', '24f96b776969ec93', '73ecf847059621f6', '8dd73309b133b8bf', '203a5fd3a45ac4a7', '8bfe86b7ab24ae5a', '7f7a06bfb8de65e3', '83f9d8c6d307248a', 'd8bddbfe9eb1d93c', '302c98bb282bacf1', '004d2899ce6cfd7e', '55e0660cad6d7d5c']; context = [[42, 70], [81, 117], [155, 188], [93, 125], [73, 109], [6, 40], [92, 121], [64, 92], [60, 94], [12, 41], [2, 30], [13, 49], [0, 28], [108, 143], [140, 174], [32, 62]]; loss = 0.011318 low_pass_filter = 0.300
+Epoch 0: | | 6899/? [1:11:28<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 6900; scene = ['1710ca2ef5baa103', '7ad1956f99b8cf25', '0e82fcaf0ccb2ba5', '468a09c983950e4a', '8b6ef87f30a948f0', '5bddd89ef33f5bfe', '75e71d2212643158', '6545f7e52e14be0f', '18179ad32046b970', 'a28f053fd4211fbc', '2ddca670dbf7e68b', '483642b8e30a8860', 'b525fcb10bc9f521', '1126a0bb6917521f', 'a1990e1a1aca5454', 'a75b353e5ab44f07']; context = [[50, 84], [27, 56], [5, 41], [2, 31], [88, 117], [3, 34], [0, 29], [24, 53], [29, 57], [1, 36], [172, 202], [7, 43], [55, 83], [24, 59], [79, 110], [21, 53]]; loss = 0.010075 low_pass_filter = 0.300
+Epoch 0: | | 6909/? [1:11:34<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 6910; scene = ['4aa1f09836169bb7', 'a34e639157e4cb17', 'b5c4997bc9a4e960', '8ec097933a323178', 'aa8fe22d38d6e8a9', '74de5bd1bb850e22', '0b2938b25e166598', '436e6d7fb59aa0f3', '77c48da8f803ebce', '28b23bd8cc4b5cc9', 'b3698fba681b1429', '502b31ec4023c337', 'c3d7c6b0a2f4961d', '0e53f99fe63ee8f2', '7c66260a2a16b5e0', '24a3779576222a94']; context = [[87, 119], [12, 43], [67, 99], [7, 39], [156, 192], [54, 85], [93, 125], [130, 164], [52, 86], [61, 90], [31, 61], [17, 52], [98, 127], [17, 50], [30, 64], [6, 41]]; loss = 0.010781 low_pass_filter = 0.300
+Epoch 0: | | 6919/? [1:11:40<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 6920; scene = ['067c03a150a6535d', '8ee32af7b707a377', '41eca61ee7abdbf1', 'b8709511255b1c76', '11f58bb45f6b246a', '9fc9a908e4d78f87', '1f0a743ea04c1022', 'c3fa95ae16106a95', 'e5cd29987417f050', '9c4ed2cd8353b8c7', '334683227f0e3f59', 'a64864550f5058bf', 'dca0822a879ff72b', '20fa097f9ce07b6b', '9fbcf3237d43c93b', 'ca0ca4bb51f7cae3']; context = [[62, 90], [26, 62], [92, 123], [5, 41], [8, 39], [2, 33], [120, 148], [226, 258], [39, 67], [63, 94], [24, 55], [103, 134], [65, 99], [46, 79], [2, 38], [16, 51]]; loss = 0.009922 low_pass_filter = 0.300
+Epoch 0: | | 6929/? [1:11:46<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.00train step 6930; scene = ['eb6d7b709dc9794e', '45e76a3def23beb6', 'a0026221d0003929', '5415c8d98c424b49', '29c057a0d6e904c8', 'c9b36cedec06f5a1', 'e70944f4a038cda4', '649edae96edc9648', 'cc3d122c0c441ebe', '6ab1031780e4309f', '03c8963443089760', '5b0c98e4aa65be15', '49e2ef92a15efa9a', 'b8411949437ceb89', 'af2fc9909c216524', '13e7befde4e8e3c7']; context = [[95, 125], [32, 61], [14, 42], [0, 28], [18, 48], [13, 45], [32, 60], [103, 135], [34, 63], [16, 52], [52, 81], [52, 86], [29, 60], [21, 50], [123, 156], [7, 37]]; loss = 0.012445 low_pass_filter = 0.300
+Epoch 0: | | 6939/? [1:11:52<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 6940; scene = ['232abb354c423e81', '177e0dd49919981d', '027f149944096008', '1b4d4a89d8cc8f17', 'cbb08aa58b52b464', '207e792a23761fa4', 'a21e31b0fe500357', 'fa002cd2e4b9f134', 'caed302f388b799f', '930261cf1953eb8f', '8cd8d0627dd7f3d7', '50aaf4f53bd06c70', '42a0601c938f1b53', '683b9e113d27af52', '9339d17d1edd6951', '660d946108ce4b00']; context = [[13, 45], [24, 56], [6, 36], [52, 86], [123, 159], [18, 46], [28, 61], [48, 80], [49, 85], [2, 37], [192, 227], [96, 127], [56, 87], [16, 45], [25, 53], [1, 34]]; loss = 0.010904 low_pass_filter = 0.300
+Epoch 0: | | 6949/? [1:11:58<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 6950; scene = ['cb8eb864780ceaf4', '59809646300dd7d7', 'bf49e8465dea081e', 'a18aa1680704fb78', '0c4ad0078fadf621', '2fa2b13587eec9ca', '1184ad5a69f1c35d', '43b144cbf93069d0', '1c5467a532cbb486', '59da33bb38e09821', '44d310a7a2f4febf', 'dfb4189449c6f59e', 'dcb67053bcbf59ba', '47557c00e771c40f', '65b8dec0c3660ba1', '060036901ce49897']; context = [[137, 172], [21, 57], [2, 37], [47, 83], [60, 93], [36, 65], [83, 117], [5, 38], [15, 45], [29, 61], [21, 53], [15, 43], [13, 43], [24, 56], [4, 39], [173, 203]]; loss = 0.010872 low_pass_filter = 0.300
+Epoch 0: | | 6959/? [1:12:04<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 6960; scene = ['aab945aab8202b66', '2fb5b4aa03145fe7', 'b43b3e93368302ba', 'fd1fe9c1db9269d8', '37d7c6279a740c7d', 'd28b9fcb544a45e7', '3c6bebf60be1bac6', 'df0a4657c87f17a1', '016c6b963bd36d18', 'dc2a1e5fb50eccf7', '32ad7c3746d46b89', '18ce3419dd7cdf4b', 'f714c6902cd954db', 'a168b9cb83649c5d', '9a05043c23516494', 'f3126c981b4e4874']; context = [[138, 168], [23, 53], [23, 56], [21, 58], [147, 179], [236, 273], [115, 145], [0, 28], [0, 36], [119, 148], [14, 43], [4, 39], [37, 65], [238, 274], [5, 36], [75, 104]]; loss = 0.010602 low_pass_filter = 0.300
+Epoch 0: | | 6969/? [1:12:10<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 6970; scene = ['313c2ce83a17b22d', 'd6fac69b6a6bd958', '20d8f725ca43a225', '30400d1809189f16', '1f214117250f089a', '4a97b9d7a1594081', '33ffb0b94cec7ce7', 'cbd4e58711dded8c', '85c6ed769781a2c7', 'be52d7017ff4e5e7', 'eb11462985fca758', '8da6063bebe48d28', 'f84079faa436c691', '512f1df8266be984', 'faa760d7d2c034ec', 'd8580e9d72ac981f']; context = [[12, 42], [7, 44], [56, 88], [10, 39], [167, 200], [4, 36], [1, 31], [12, 49], [13, 47], [12, 49], [67, 99], [1, 30], [15, 43], [20, 52], [65, 97], [151, 183]]; loss = 0.010392 low_pass_filter = 0.300
+Epoch 0: | | 6979/? [1:12:16<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 6980; scene = ['2cd702dc4fdef4a4', 'de561e02e852ac64', '542540d922d01209', '5f59342af67d8587', 'ab7f018f21bef342', '642cf78c4fa0ef61', 'cd83136b559517cf', 'cf4a0213f57bed85', '5e6b6cf7eb54c960', '211955799aea0b11', '058fde22adb2bd69', 'd123eeb2049f770d', '648d59fb0909b01e', '19283c18e8d4c093', '352405a498056a04', '33cddf881b54866e']; context = [[8, 43], [192, 227], [29, 63], [1, 30], [10, 47], [44, 80], [26, 57], [33, 63], [75, 107], [3, 39], [125, 156], [61, 96], [36, 70], [54, 88], [76, 112], [177, 210]]; loss = 0.009674 low_pass_filter = 0.300
+Epoch 0: | | 6989/? [1:12:22<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 6990; scene = ['9a897c3f2fc1835e', '0ef7876ae2f8698c', '3cb9d9c936c652d9', '2e1d57bf531fd792', 'ae5b049c5c79102c', 'c5bfb5bda243dc69', '8b513ead658d6753', '590bb98dea23e2d5', 'a8edd71cc4469588', '4a0cdf7ef67e9987', '1896e6de7dc0f4db', '9baa7e80e0e09d0e', '1a53540061b38408', 'bee339cc45bb274a', '3230ae893262c016', 'decf37d8f8750882']; context = [[112, 145], [26, 59], [19, 48], [185, 214], [120, 155], [11, 42], [123, 159], [20, 51], [44, 75], [120, 154], [9, 37], [1, 38], [26, 54], [107, 137], [11, 40], [8, 36]]; loss = 0.013748 low_pass_filter = 0.300
+Epoch 0: | | 6999/? [1:12:28<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 7000; scene = ['267afd60f3bff4a2', 'da6940908fb4f04a', '207a22540803657c', '1517c447249b01a2', '3ad953e015e337ae', '40f6efed3d5db3fe', '10e47d52f346c322', '048786d814719880', 'affd8529a83e2cf7', 'cc503e1bc31b898b', 'aa61ed9a137626f4', 'e0fde8fd4169d858', 'f6d350c0bbdd1a3c', '05e09ff1c9228208', 'bb38e006ba4dfe71', '99f92784e60cc38f']; context = [[10, 47], [2, 30], [16, 50], [13, 44], [3, 37], [1, 35], [19, 56], [15, 49], [108, 137], [76, 112], [0, 32], [89, 119], [7, 43], [5, 40], [22, 54], [33, 62]]; loss = 0.012808 low_pass_filter = 0.300
+Epoch 0: | | 7000/? [1:12:29<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00validation step 7000; scene = ['4e23a41c18383f74']; context = [[0, 29]]
+Epoch 0: | | 7009/? [1:12:36<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 7010; scene = ['ccc8bc2c0a1afe2b', 'c1cbcf2db1f8691b', 'c8cc70f1e96adecb', 'aa15562d0b9fc205', 'eeb7dada070820d3', '511d24d81e925e48', 'f4fce4a624da37d9', '3921f3d86b2cacf0', '01d5a6ebd573b4ae', '1b783d0063d6aba3', '8ef3803dd3c43c10', '1b749d9b60927a96', 'f478d886410b020d', 'b1d713a2958063db', 'f893871b27cd3338', 'e11dd59f0958473f']; context = [[28, 57], [70, 100], [155, 185], [94, 125], [3, 34], [230, 263], [21, 58], [47, 83], [30, 63], [25, 54], [150, 178], [43, 71], [22, 53], [5, 39], [137, 167], [28, 62]]; loss = 0.010929 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 7019/? [1:12:41<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 7020; scene = ['59ae8e2d2504d760', '83d4b54aeee30945', '2b58d1bbfac7511a', '0069fbbde9f77bf8', '29554b41586a7db6', '48cebddab872c439', 'cc061ca8d139f499', '4858dc374c4fca93', 'cc80de7991d73ab0', '2eb02801dcb49de6', '900c3009657ef7c6', 'e546c92a68e5db99', '3b8d4d62c3923699', 'de57e75b0134c705', 'e689622dfff0a9f3', '5fe78400468bb910']; context = [[4, 41], [50, 87], [10, 42], [72, 104], [127, 156], [65, 97], [45, 80], [9, 39], [32, 68], [135, 169], [18, 47], [119, 148], [121, 158], [154, 182], [43, 78], [9, 39]]; loss = 0.014945 low_pass_filter = 0.300
+Epoch 0: | | 7029/? [1:12:48<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.00train step 7030; scene = ['80ed38d0a46c74df', '1c7fd25c56d97b41', 'f9ea5bd2a0243bd2', '8cd4f583ad67b0d9', 'eef710e59b6645e0', '06bb3e6123bee4e7', 'f7adcb2981b56215', '276c19248173dd64', '4777dc29a1d20c7f', 'f7449fd9c81a3551', 'f98f1a15850aaed9', 'c840e7ad87fcf5d6', 'ec570f8328cd4104', '1f08a54b3d9787f9', '487e1751e169b2fe', '598f5f9c57bceafb']; context = [[208, 243], [3, 35], [41, 78], [99, 133], [38, 68], [191, 223], [40, 73], [20, 53], [218, 251], [3, 32], [14, 46], [127, 162], [137, 171], [74, 109], [42, 74], [55, 84]]; loss = 0.012185 low_pass_filter = 0.300
+Epoch 0: | | 7039/? [1:12:54<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 7040; scene = ['c9154135faca16c1', '2e441fa2f9846685', '80e9bca97676a7ed', 'ea39ad8b69cc5787', 'a8e9ca9fab2a02e5', '47e15ca04ec95d65', 'ae58510a79871955', '9e16e2db38feb337', '125e043ed828047e', '416a07aebbf6bde0', 'e3b8576a277f8752', '90181a8ba6688854', 'd766eac515f8c9df', '3d163eea20f886c3', '82047a161180382a', '9237d0a19afbabcd']; context = [[31, 63], [56, 91], [0, 34], [68, 104], [148, 179], [132, 162], [236, 270], [59, 94], [135, 172], [0, 35], [61, 91], [6, 34], [35, 70], [147, 180], [13, 44], [11, 41]]; loss = 0.009965 low_pass_filter = 0.300
+Epoch 0: | | 7049/? [1:13:00<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 7050; scene = ['1972a0e165cd9408', '2409de44a70e9e41', 'f5e33c2b2a7e9ba3', '5038408e0a5ed26d', 'a05abd165e11ef8b', 'e2dddc85ca109243', '9a8f7427a9e8c9c7', 'e575b075dd0ff624', 'f7c2f06c4ad6d7d6', '0efe197d25725842', 'c540fde60000698b', '37a687e49f5a79c9', '289a0ef9678c7c70', '7ef8b861dca2e6b4', '5507d4e82ddb2357', '056d2ba0e6fd8999']; context = [[0, 33], [5, 39], [51, 84], [114, 144], [18, 52], [18, 48], [185, 221], [43, 80], [117, 147], [33, 70], [102, 131], [6, 36], [238, 272], [45, 79], [9, 46], [100, 137]]; loss = 0.011633 low_pass_filter = 0.300
+Epoch 0: | | 7059/? [1:13:06<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 7060; scene = ['090b3b57c205b598', 'b5c4997bc9a4e960', '320239f721b4f25e', '4aa1f09836169bb7', '7e286d8ce39e0992', '0b2938b25e166598', '74de5bd1bb850e22', '28e70b1812346b1a', '56330f4fd90f9961', '57dc85446fc5e73e', 'a318efa4108b5cfb', '92b172ef32af49ee', '6587793d3d37d760', '81ca6bc8c809f255', '8d2763caa6b3fb11', '070de38b8e08aa51']; context = [[3, 31], [10, 45], [22, 56], [3, 34], [48, 83], [125, 161], [25, 54], [18, 49], [12, 40], [38, 68], [83, 115], [150, 181], [35, 70], [74, 110], [36, 70], [50, 85]]; loss = 0.009330 low_pass_filter = 0.300
+Epoch 0: | | 7069/? [1:13:12<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 7070; scene = ['cffffa4c0548a72d', 'a5a8e6a3d35a22c8', '8e3dfce25f2d216a', 'fbc3668b9e73950a', 'df662bb3e944a8db', 'eb07f2be65cd3ef9', '51a5009f56cb9674', '144913b1e5d43257', 'd8fc4c664a4adc05', 'a99b619863a4760c', '3e4fcb14d2d9d2eb', '19157bb6d9d87bb1', '7d0e0b6733c4c54f', '8d303400f56c8600', '4c4199f1af91eca1', 'f09b2a3782ff7908']; context = [[110, 139], [44, 77], [197, 231], [39, 67], [8, 45], [8, 44], [45, 73], [137, 173], [119, 151], [37, 68], [3, 36], [37, 66], [15, 45], [39, 67], [29, 58], [114, 147]]; loss = 0.010392 low_pass_filter = 0.300
+Epoch 0: | | 7079/? [1:13:18<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 7080; scene = ['68bc95bade5e1353', '539fcc87120692e8', '06ac0a1a9fccaac8', '65759841f5b030c0', 'a1a940abbfd514ca', '704ffc6f1e9e213e', '29a4cd3335fc840e', '25fdde22389cab16', '2e8d7c7897b54d07', '06e84efaec258266', '697e5db37b8f4789', '27e25582bc09a0de', '7e976bc0f1d6a254', 'a3c9ffcea941f481', 'c51d0c23240a5ad8', 'c26c2e3257c2d464']; context = [[33, 70], [96, 133], [66, 98], [17, 46], [112, 145], [16, 52], [55, 92], [66, 96], [60, 96], [87, 119], [40, 69], [46, 81], [130, 165], [102, 139], [182, 211], [113, 147]]; loss = 0.014735 low_pass_filter = 0.300
+Epoch 0: | | 7089/? [1:13:24<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.00train step 7090; scene = ['5273c5cf3687d3e5', '0244c761444c4c43', 'c8d3af2c34cb9550', '82d26f74f86c38e2', '57ddaa846660d93e', '6bed54d7ef0b89d8', 'd5dc285dfb49017c', '50119310fe544bc1', '826340ab765319e3', 'c8fb4f76ee763d18', 'a976734f8647a289', 'f8348bc0b56557d6', '511ec608e4012db6', 'd7adef0853c541b7', '48affbd55a6a99d0', '4f81fe7e11e4acec']; context = [[26, 58], [5, 35], [39, 75], [128, 163], [42, 78], [26, 62], [71, 105], [33, 69], [8, 42], [98, 131], [50, 83], [0, 28], [2, 32], [202, 238], [20, 56], [5, 37]]; loss = 0.010887 low_pass_filter = 0.300
+Epoch 0: | | 7099/? [1:13:30<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 7100; scene = ['7cc92d7a16d7e677', '2ef54984d277464f', '69a54df0786fadd2', '1362f40738546699', '6f816a7bd8b4d022', '6a78abe9196beccd', 'eb1d14055e828c41', '8f36594b2a863083', 'f14da18c7df0a2f9', 'f7162df69d7f02d6', '5299e1d8459614a0', 'cdcdc97ba9dfaddf', '83c4c9fb7e651990', '85719fc0e88eacae', '56d7b41096c4a0c4', '3e6d1f9e11e3dc9e']; context = [[1, 35], [62, 93], [11, 42], [34, 65], [1, 37], [61, 91], [47, 83], [154, 191], [133, 162], [127, 164], [33, 66], [20, 55], [26, 62], [43, 79], [31, 63], [14, 49]]; loss = 0.010037 low_pass_filter = 0.300
+Epoch 0: | | 7109/? [1:13:36<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 7110; scene = ['51d0ae0aebbd9af1', '00b52b21e0d54a42', 'a0481c0069aac78e', 'fdd0f62113d4f4ad', '31d2bac3cf84f232', '381fe9c18a25d741', 'd187bead2c4cc455', '6cce9c57b5aa5336', 'fce1137a35c75426', '49b292bd243d56ac', '1eba1805fa0eba9b', '9ab6f5a4a25d8e1e', '49f2a6f344b193ec', '67f8815d24b5195c', '701bbabf79a42624', 'c9077b5a9e2919c9']; context = [[65, 96], [52, 85], [84, 116], [16, 48], [20, 51], [123, 159], [20, 49], [12, 43], [54, 84], [12, 49], [18, 47], [35, 65], [20, 56], [62, 90], [33, 61], [17, 54]]; loss = 0.011149 low_pass_filter = 0.300
+Epoch 0: | | 7119/? [1:13:42<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 7120; scene = ['9733a5e8b87112f8', '5e66f54d9b99573b', 'c1c0bf21704f2537', '714d84e0be7d7dfb', '5bef2ef0dcfab16b', '2a79a8bd4edfdbeb', '0532eb974677bbc4', '15ef091ff5e65fa0', '38b7bb60dcdd795e', 'c08cb8bf8e5c5f16', 'f83023d1697407da', 'cd133ed3edf87e7f', '721220c7c8bdbecc', 'ef43009a9fda5f70', '8154350ee9bed77c', '2a6a97f480e33a22']; context = [[60, 95], [38, 67], [53, 84], [143, 180], [48, 83], [27, 58], [40, 75], [211, 246], [8, 45], [8, 39], [26, 56], [107, 140], [3, 33], [189, 219], [9, 40], [60, 97]]; loss = 0.012924 low_pass_filter = 0.300
+Epoch 0: | | 7129/? [1:13:48<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.00train step 7130; scene = ['0c078986e514e489', 'bfa43fe391fa2d46', '243a2a73f63d8030', '174885a022d76f49', '61181f74c27e63f9', '7057134a8223acb2', '6f22d394be3ac612', 'd7f47882099f78d9', '7eaacbc33c12c929', '81d848e976090ef9', '0ba72677f1ca28b7', 'a2bb6c32f99a15ca', '9d33bdd88ce8ec85', 'd3bd7c9dac07234e', '2486fbf81f40c372', '2876315f35920644']; context = [[12, 42], [101, 138], [40, 73], [18, 48], [55, 85], [4, 33], [6, 39], [20, 57], [65, 93], [4, 34], [4, 40], [24, 55], [53, 82], [25, 56], [59, 90], [22, 57]]; loss = 0.010713 low_pass_filter = 0.300
+Epoch 0: | | 7139/? [1:13:54<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 7140; scene = ['c037d143a8e0ccbd', '9985153755b905cd', '20e9ed1c2504af2d', 'f3c47a7e22af9c91', '962084e11146bb55', '66e03e0c45197a24', '13a12740c5d84057', '428af7a35d38dfdb', 'a55a64e116b5619a', '34857ba0aee5fcc4', 'caca9c97d32372fe', '1134a76f064459d4', '44e1b5d813809be0', '4bef29cc7955bb9a', '27440f6abe018a1e', 'a341f339c80467f7']; context = [[57, 87], [209, 237], [43, 78], [5, 38], [26, 61], [35, 63], [7, 42], [7, 39], [99, 132], [146, 174], [118, 155], [117, 145], [31, 67], [75, 104], [53, 83], [23, 54]]; loss = 0.010120 low_pass_filter = 0.300
+Epoch 0: | | 7149/? [1:14:00<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 7150; scene = ['a142901b8a2421ed', '6a06b29373391c2a', 'e228a6735eb00c28', '5376bb67b77e8b59', '963b4755148b46f0', 'af273a69275eafe8', '26f28a50f0267b3e', 'e8e63428804a5980', 'df4cccc8b0781eb4', 'e34b20228349d7d3', '6f87ded85440c7ff', '5557b9f1f838dfb4', '51cf388a4d04e4e3', 'd113b8357fa64b66', '31bd6ed47b560fb2', '8c4e4bca9b1d35e4']; context = [[80, 111], [40, 75], [13, 48], [5, 40], [93, 123], [164, 196], [210, 240], [83, 115], [45, 75], [19, 54], [4, 40], [64, 95], [52, 86], [9, 40], [15, 50], [40, 68]]; loss = 0.010075 low_pass_filter = 0.300
+Epoch 0: | | 7159/? [1:14:06<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 7160; scene = ['839a7dc465babb6a', '0b758b68786dc733', '6c4a195e1fa3b28a', '5bb0ee664d02e9e5', '7f3ca984fdf8f7cb', '8f30c1582145c9f3', '6df050e937ac9f8d', '034301dccb94adc1', '62119effa34e8c61', 'c30cf086d597aba5', '6bd188e48caeee1c', '55884a763d483c32', '66bdfbee7e6100a6', '13e1d5e8a0e6b2bd', '964d84c15eadd21a', '1ad6f571781d4e71']; context = [[51, 87], [44, 74], [49, 80], [8, 44], [31, 59], [21, 49], [68, 102], [32, 67], [10, 47], [22, 57], [62, 96], [18, 46], [1, 31], [107, 138], [74, 104], [17, 52]]; loss = 0.009103 low_pass_filter = 0.300
+Epoch 0: | | 7169/? [1:14:12<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 7170; scene = ['878ed649fe75b1e5', '50e4ebe35515bd19', '7f81ce718f7eae1a', '223d9839a448d851', '1a464079ddbe1d59', 'b662f354bb50dc53', 'c1992bb8b28bcc01', 'cc1515a91bc7b9f6', '2b6f17c36d275612', 'ac922386da39b302', '64b30e1b3108384e', 'bbf5bf0f5a0f9d48', '92c158518368b4ef', '5f1bd21bfc711755', 'e58d87c7ddb7fec5', 'e7b9cfc04402e96c']; context = [[11, 47], [81, 118], [140, 173], [103, 134], [224, 253], [12, 49], [38, 73], [109, 139], [6, 37], [4, 36], [168, 205], [2, 33], [0, 33], [40, 77], [11, 39], [113, 142]]; loss = 0.011872 low_pass_filter = 0.300
+Epoch 0: | | 7179/? [1:14:18<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 7180; scene = ['51817eaa8265bc7f', '8055c456d35e5747', '836f0c4495d07958', 'd0b938803065b0f7', 'f5f225a43fcecd0d', 'da1d055a8426b8d8', 'bd109e7ed7c027a0', 'e7e9872d59ae41a9', '6ea3f9ffb32ea267', 'fd772f6ff7936a2a', 'f5c8406a588131d5', 'f179064b7a845fb1', '446933c7668779a4', 'de51b5fb44137a23', '94e15ba487af3b15', 'e4ad4dde56a72877']; context = [[5, 36], [12, 43], [92, 123], [5, 41], [230, 259], [35, 65], [6, 39], [86, 120], [181, 214], [58, 88], [59, 87], [83, 111], [0, 35], [30, 58], [17, 46], [73, 103]]; loss = 0.010225 low_pass_filter = 0.300
+Epoch 0: | | 7189/? [1:14:24<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 7190; scene = ['f6f74463bbcbf1c8', '625ccbb00fdb4042', '7eeada5c41414d7a', 'f75b1a55b42e01fc', '94451eaf549042e4', '738889f8821da74e', 'fc71136d1f759ede', '144796f0d553a90b', 'a5d5924c33cb5eec', 'b100ffbc2f9d79a7', '2026ccc2dc2be8fa', '7e423d9bae58a197', '695e66b2294400dd', 'afbec7cd6de2b2a8', '1e6a2c93047453fe', 'afde92ddb60d24e6']; context = [[20, 49], [211, 240], [41, 76], [23, 60], [85, 118], [27, 64], [0, 30], [36, 71], [14, 46], [38, 73], [43, 74], [4, 36], [7, 36], [6, 40], [107, 143], [172, 209]]; loss = 0.009189 low_pass_filter = 0.300
+Epoch 0: | | 7199/? [1:14:30<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 7200; scene = ['1a2ea561c9c8f419', '31ba0028326b8b17', '1a7acfecead6ac94', 'bb3e352ee6959d9d', '202804795c8dc7d9', 'e87e2f59ab625c36', '6ca7f051fa8000be', '55595976706bb7a8', 'a212154cd39361ca', '5195d6199756de8b', 'aa1de687b9ca8b3a', 'abe6335b937ba7c6', '0e895dab0c10b89d', '98d47fe7993b4d5f', 'c3f39ae4b7f1e3f0', '74e40718f0ad3efd']; context = [[1, 38], [157, 188], [21, 53], [102, 132], [102, 133], [97, 126], [136, 168], [37, 70], [2, 31], [52, 89], [36, 68], [73, 107], [41, 74], [53, 86], [10, 43], [9, 44]]; loss = 0.009667 low_pass_filter = 0.300
+Epoch 0: | | 7209/? [1:14:36<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 7210; scene = ['022c8b3bf09953d5', 'd54be14960a96623', '1df4c50a6d867f43', 'ca1852b4ee1cff4f', '12c58909fa039296', 'cffb80fc6fccc723', 'b35cbce181002a38', 'a01b5396794511af', '1afd9e26d32bfdf6', '786d6175ca31c7f6', '51cb17f1485b2313', 'fa807d5219d42f63', '4df0eabb02d177d7', '67db02d7bf813f5b', '0d8a60e8ab6f3034', 'ce68b2802d6819ee']; context = [[35, 64], [60, 88], [4, 39], [234, 266], [62, 94], [27, 64], [75, 108], [57, 86], [184, 214], [0, 37], [68, 102], [5, 36], [13, 45], [239, 269], [15, 47], [14, 42]]; loss = 0.012466 low_pass_filter = 0.300
+Epoch 0: | | 7219/? [1:14:42<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 7220; scene = ['1b4d5f002f5af86c', 'b74cd30ef141705d', 'd62c060a62da110e', 'ffda743d376dcde8', 'c81095ff7cc7034b', 'ff1a64808d8981a4', '9ca80f3ebf759df0', 'd81116dc8c96547e', 'f24b2611ba45a2cf', '207d8089dd36e74c', '031aba088281e379', 'b692786e5dea667e', 'a791c72122d141c3', '3a46462f9ca7ac68', '76d44d2cd2b7afc6', '56deb9a5eb1e5433']; context = [[4, 34], [21, 54], [8, 39], [31, 62], [27, 59], [7, 39], [23, 58], [7, 40], [74, 103], [156, 187], [79, 115], [7, 37], [78, 108], [123, 160], [12, 46], [14, 48]]; loss = 0.011277 low_pass_filter = 0.300
+Epoch 0: | | 7229/? [1:14:48<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 7230; scene = ['b6e4090f22734038', '62072e1ce4a3a351', '50ef002b71b5df22', '388ea1f6d5ffaa8d', '18c4e5e1991dd535', '713dbc9bb40ccc99', 'b8edc44674166d18', '3f9d1fd2875c86e0', 'ffcddd641eb66a0b', '0aa8245eeefc11a3', 'c304ac5f3fe47b0a', 'a4d9a709d346c686', 'f70b121ccf3f3ed6', 'ac451d6a344dabd9', 'e3937eacadfb024a', 'c69af9c3bab53abd']; context = [[15, 47], [51, 84], [10, 43], [137, 171], [69, 106], [19, 56], [16, 50], [1, 29], [5, 41], [154, 184], [32, 62], [48, 82], [231, 261], [184, 217], [31, 64], [76, 105]]; loss = 0.009200 low_pass_filter = 0.300
+Epoch 0: | | 7239/? [1:14:55<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 7240; scene = ['7fbc6cf6fe65b7ff', 'caf78660bbc1dbf2', 'ca543cd72517425f', '7c4d7ed47ae232ed', 'd9afbf73118bb8a1', '9777aa81d5ddf05d', '8efec6de00a7d511', '2244f7dd2c91da2c', '06fccc7d660b7c54', 'ca301930c8f2ed36', '97a073a926498924', '2c5af6f6f4959160', '8d319176f3979cbc', '18eb222a2b5631c9', 'e3dad71b234ee049', 'bb35407c3c93e0b4']; context = [[169, 203], [2, 38], [26, 56], [138, 175], [28, 62], [0, 33], [76, 107], [222, 259], [0, 29], [56, 92], [4, 39], [2, 37], [4, 32], [189, 220], [35, 70], [153, 188]]; loss = 0.011305 low_pass_filter = 0.300
+Epoch 0: | | 7249/? [1:15:01<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 7250; scene = ['c0a2a9fe9e12ea72', 'b54617c7d3c0c3fb', '270c1019e4348197', 'f3dd12e8d9dd4c20', '3f6666062c86b73a', '91cc4e583ef263cd', 'df29eae05ee5e69f', '2f4a9af473259598', 'eb0b3196ffb44444', '263171a60cd3c274', '8e6dd682ca06c962', '2e6b110a34be80f6', 'db21d3ab55c463d4', '9af60e3183731e2b', 'e8bacc515eee9906', '7aa0b1804b14144b']; context = [[47, 81], [111, 144], [207, 241], [31, 68], [57, 93], [225, 255], [102, 135], [22, 51], [3, 31], [154, 186], [43, 73], [31, 64], [64, 99], [66, 98], [29, 66], [31, 65]]; loss = 0.012674 low_pass_filter = 0.300
+Epoch 0: | | 7259/? [1:15:07<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.00train step 7260; scene = ['088d4118cbe16c97', '5f5bb12d476cdb64', '8dae5ef8abae8da8', '37319c0d69f431a8', '6cbacc1a289ed624', 'b96a9c7f51d619cc', 'ae267c0eaad7d286', '8099a24d802a278d', 'f92fc931ecf41163', '3f804a27d3921230', 'daaf2bb9684ce136', '5eff6d0d581c8fb4', '4b629acfe9213272', 'c7533d969421eabf', '90d1c056ef8e468c', '88d76ec515558fcd']; context = [[77, 113], [92, 120], [92, 121], [15, 52], [186, 220], [67, 103], [91, 128], [61, 98], [22, 56], [58, 90], [235, 270], [96, 133], [31, 66], [51, 84], [14, 51], [19, 47]]; loss = 0.010311 low_pass_filter = 0.300
+Epoch 0: | | 7269/? [1:15:13<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 7270; scene = ['b4ae1b697a1ac6da', 'eca27ee3d2248402', '13aa603a3003bf77', '28020e268c1ba216', '3fc3f1b211ad15db', '51f0d505d12ea467', '03c1440995e0347f', '3cca5734c7ee3f5a', '8f733bc506395644', '70e6dc2e07efc73a', '2b38f48e832e8d20', 'a07336fb3796ce84', 'ec16d4512645786d', '742beac7bb67515b', 'c4052755634f3314', '77825008ac6c663b']; context = [[94, 128], [34, 66], [0, 37], [51, 82], [168, 196], [1, 29], [93, 121], [0, 32], [168, 203], [53, 86], [15, 50], [2, 30], [45, 76], [44, 77], [8, 39], [160, 195]]; loss = 0.010653 low_pass_filter = 0.300
+Epoch 0: | | 7279/? [1:15:19<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.00train step 7280; scene = ['2f1a90635ce346bf', '9aa698dba7c091b4', '8d6d5c6a59fe2041', 'baea9853c1f8b756', '883a40fe5150d149', '1d2966dfb6372259', '203fddb72183aa38', '5a2623f2591a7022', '2c01da21ce8f1ac1', '222d9cb22c66b115', '9e1d293a1a5e15f2', '02eeda3b542d1d7e', '4e23f94bab54bcc9', '84f0427dce7aa8e8', '17c1137ab9e3476a', '6dd9d6b7d9cffbcd']; context = [[139, 169], [27, 56], [6, 37], [53, 88], [19, 49], [12, 46], [28, 60], [91, 122], [43, 77], [98, 127], [89, 126], [218, 254], [66, 94], [88, 123], [8, 39], [56, 90]]; loss = 0.011574 low_pass_filter = 0.300
+Epoch 0: | | 7289/? [1:15:25<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 7290; scene = ['71e0ca8b39e099cf', '481700de6e39bbfc', '941a8e3ebd83048b', '25b033bd4c05f4e1', '4deb9a61dc7ddb3c', '26ab7013632ded77', 'f682063bfeb6c468', '5c160981d97349b1', 'd1f1099b0a428268', '6d1ed2233f65589c', 'd9547a0401062a0c', 'f3bfcdea86361e1d', '806a90bcf60f7e6c', 'e37711006fc617e8', 'dfcd88cbc69085a5', 'b7267845bbbf2bd8']; context = [[14, 44], [25, 59], [46, 82], [5, 36], [63, 98], [46, 82], [62, 95], [36, 68], [67, 96], [95, 129], [7, 44], [32, 63], [198, 235], [152, 188], [12, 44], [12, 48]]; loss = 0.009279 low_pass_filter = 0.300
+Epoch 0: | | 7299/? [1:15:31<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 7300; scene = ['935bfe82f9a91c6c', 'bccb2d322b8bd512', 'a39c6e8f3d9a2a00', '9ae8ac94ec73f354', '1c75685f0307f79d', 'dcbea8d317442825', '068b869b3861f8fc', 'a7c1244797fc53ad', 'a752ffdd0cd196ed', '9e299e04b20c3f70', 'c2ed056e761bd2c4', 'ba823bca7db295c1', '41cf7931d87820c2', 'b13f6387c59e38a5', 'e2d62f82e625ed88', '0d17e709818fb499']; context = [[38, 69], [63, 93], [9, 38], [15, 44], [54, 85], [27, 57], [15, 46], [7, 42], [102, 135], [81, 118], [132, 168], [43, 75], [62, 91], [26, 62], [73, 102], [134, 165]]; loss = 0.010517 low_pass_filter = 0.300
+Epoch 0: | | 7309/? [1:15:37<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 7310; scene = ['256bf843493c6450', '53e9f13ccdca849d', '06664d17c613a563', 'a514bcc8aced0356', '5d64ba6b134fb834', '2cdeb22866bd8b89', '031ca18c9472f03e', 'cc44fa522a2027be', 'f0e3087ed60f8e68', '551c02958152377c', '4b1ee57bdbda4b1f', 'cbf08a650761cb10', 'b5eaddf4ac5c6f62', 'c7844a02eecf3a20', 'd3e34d281b05cfbd', '4c206a668c76614a']; context = [[1, 32], [48, 83], [10, 40], [28, 59], [1, 32], [0, 29], [179, 213], [66, 97], [62, 93], [57, 91], [37, 68], [1, 31], [30, 64], [14, 49], [0, 30], [41, 75]]; loss = 0.011245 low_pass_filter = 0.300
+Epoch 0: | | 7319/? [1:15:43<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 7320; scene = ['d70f4aed1d205472', 'e1640587d009cf60', 'db147ea15731de61', '80984c89334000e4', 'db5e2be603041bea', '9cc4cd2a57a700ac', '66b08e1f685b1e39', '694c826a04dd0790', '5ed5fc85e9489de8', 'cc40622bab93b114', '9c4aac0b6fcee545', 'e16247bcbe3b56a4', 'b8d2dd9546bbaeab', '66b4341cc26b7407', '0ec94e39c196bce2', 'd8af4b4bd916921c']; context = [[2, 31], [40, 74], [3, 39], [9, 46], [18, 47], [3, 38], [53, 86], [206, 234], [14, 44], [146, 177], [77, 109], [139, 174], [9, 39], [6, 34], [2, 39], [2, 30]]; loss = 0.011668 low_pass_filter = 0.300
+Epoch 0: | | 7329/? [1:15:49<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 7330; scene = ['8033aa6c2010ee73', '9972e3c21d9e2447', '49b11eddf04b5620', '9d812fb06c8d197e', 'f155cca8dd2a8cc1', '6bf457fb2e24516d', '807c2a5bf7cbd41a', '4f09a928fbee28d3', '83c57fbb2624304a', '8a97f4f0954bda5b', '5b6fad04865aa615', '87bf99d0c4839542', '003a243e0d37b315', '323fa8deac25071a', '31bb52556c508299', '4ca81426357081a3']; context = [[13, 44], [143, 179], [11, 41], [61, 98], [102, 134], [76, 113], [41, 78], [28, 57], [23, 51], [12, 44], [6, 42], [47, 77], [65, 94], [66, 99], [69, 104], [114, 150]]; loss = 0.008618 low_pass_filter = 0.300
+Epoch 0: | | 7339/? [1:15:55<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 7340; scene = ['abe4316db2a41347', '41cfed19471833e2', 'ec3c3a41bfd736a3', '58cb8118a80c0baf', '6f840684cb842224', '63824989c3f412af', 'a1ab776dff376ff7', 'd3b36dc75c49581b', '04334b719bab18e6', 'aa09352702c3e9ec', '18c387ae52ec7b2b', 'e3912708738ed398', 'c6794c36c3f5b9e9', '26cf6203b5529728', '323bdfae8bc5f180', '38f50a03d51f7cd4']; context = [[0, 29], [119, 154], [22, 59], [19, 56], [64, 97], [33, 66], [79, 112], [7, 39], [12, 46], [143, 172], [33, 69], [0, 28], [22, 50], [63, 94], [23, 56], [60, 91]]; loss = 0.011608 low_pass_filter = 0.300
+Epoch 0: | | 7349/? [1:16:00<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 7350; scene = ['ea5c69dfbd80a84c', '08da0b9bc5445be5', '9b299dd51856f116', 'f918e879fefa0dea', '58a00f0f88f0e24c', '322d631f732ce283', '819648da61dbdca1', '048a072d80637ced', '2b960773b240ad4a', '91995cefc8e62e40', 'a3fc4bb219200eba', 'dc17a6a8584311bc', 'c7267bdc5d0926a4', '0dff7263b1c569ab', '2400829229f41b99', 'ba696be52c8963ad']; context = [[90, 125], [23, 52], [94, 124], [59, 94], [5, 39], [31, 67], [18, 55], [7, 36], [79, 115], [167, 200], [3, 38], [216, 249], [0, 34], [94, 124], [29, 66], [179, 213]]; loss = 0.008807 low_pass_filter = 0.300
+Epoch 0: | | 7359/? [1:16:06<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 7360; scene = ['8ce821da54a25970', 'f19f0e4357e0f07a', '88f77031423782db', 'a02ff3d019e0f929', '1f28f66d80d8a799', '3a19beaf455fa3c8', 'd8c9791047fd811a', 'bbf7579a8ad34b08', '81af71c11f6b155f', '776bb84673f96890', 'ef9ba01f86a61bde', 'a9be4205ae4d9eaa', '5b05ab7a497e95cb', 'c068006a34482758', '3a4bd5f5aa8919a3', 'd5b138f5c90dd265']; context = [[168, 204], [98, 135], [12, 42], [29, 65], [40, 72], [216, 245], [7, 36], [8, 42], [3, 40], [88, 121], [19, 50], [204, 236], [18, 47], [26, 62], [73, 102], [69, 104]]; loss = 0.012348 low_pass_filter = 0.300
+Epoch 0: | | 7369/? [1:16:12<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 7370; scene = ['d4f0cd8777b3d534', '287f04b4d4c3d565', '4a53a9711f98a0af', 'a15a797d550d5c07', '40d62c1c34dcb4ad', '9d37761f3e526b2e', '8fad002621cb9a72', '0fc84f9949ed58fe', '587a249b3119ff0e', '2b6287b06fc332a0', 'be2136570a68d629', '79fd1c101e824424', 'f5da0f88f6cd871c', '3171758ace14c9a1', '993b9c8748ada295', '05d25ebd7804e6d3']; context = [[0, 32], [54, 83], [47, 80], [132, 168], [151, 182], [36, 67], [163, 196], [42, 70], [218, 251], [13, 42], [129, 161], [20, 53], [42, 73], [25, 55], [29, 63], [78, 109]]; loss = 0.009505 low_pass_filter = 0.300
+Epoch 0: | | 7379/? [1:16:18<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 7380; scene = ['612e4097fffdc804', 'def54ce161678aed', '2048a9f77ad4c794', 'a4978d1996610c90', '67ca4858a6da9498', 'c2e29d5707c809d6', '46c0694e9ea28be3', '1fbf35024dbf8d68', 'b679f3152c617803', '40a36a6b415dcae5', '804a28c80dbb7cf6', '693fbf5b514480f0', 'd8b1092e3ee04227', 'b123dd2c895e2267', 'e2a60d710e081071', '7f2487897b9a59ba']; context = [[39, 70], [126, 156], [6, 34], [46, 75], [48, 80], [4, 39], [3, 32], [19, 55], [113, 143], [95, 125], [33, 67], [76, 106], [34, 64], [25, 56], [25, 60], [126, 157]]; loss = 0.009754 low_pass_filter = 0.300
+Epoch 0: | | 7389/? [1:16:25<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 7390; scene = ['1c06aea20d266433', 'e7cdb81f2a2e7f18', 'd063d31fc9a7af2b', 'd1594196fa748b2b', '62d9c30b7009ade6', '8421d1b832751b06', 'cf888eee79e98e59', '866aba7c3f56d29e', '2a4692e93110dcd6', 'c8c034439fbe43f2', '39bb5aa9284997dc', 'eae116e50dca5b4b', 'c23aaa7965325e09', '17a3785a7d58531d', '03704dad48e824f9', 'e0222b577fdfde97']; context = [[92, 122], [6, 43], [49, 77], [79, 108], [56, 90], [36, 71], [0, 32], [48, 84], [19, 53], [14, 43], [13, 49], [31, 65], [73, 109], [7, 38], [42, 78], [212, 245]]; loss = 0.010058 low_pass_filter = 0.300
+Epoch 0: | | 7399/? [1:16:31<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 7400; scene = ['d5da6f59e6e8f621', 'c65008663a38505f', '7464f52f05dec89a', '069044050b561dd3', '0f35ceaf227ff187', '99271aa47d803a6f', 'e23f945703f61bfc', '7277bcf45f9b2f21', '4dd424a2e0a97403', 'd77fc60af718d2e2', '9bebde67fd28d7c2', '0645a4e5ad941af4', '6883aebc73cdcd2a', '81431041a033fbc8', 'f1be1ce6391b8af8', '9ecbc16ba5f51e98']; context = [[10, 42], [61, 97], [14, 51], [171, 203], [33, 70], [121, 149], [62, 92], [63, 93], [60, 88], [161, 198], [104, 141], [66, 95], [200, 237], [16, 44], [11, 44], [46, 78]]; loss = 0.009257 low_pass_filter = 0.300
+Epoch 0: | | 7409/? [1:16:37<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.00train step 7410; scene = ['e2f7704a1bf6ea91', '9d2ab37f027652f8', 'a2d077e3dad263c2', '537580f71422704e', 'e0ea545b60dd789d', 'bfe0901cfb38d2cf', '51b622049a721290', 'e9d11d18a0abff33', 'c01ce746e8786ee6', '592f02d9a81deedc', '92362c407ae31300', '9837661a38ea63e5', '69b8747c662bc454', '67f5335d95ac7bbf', '063dc505e73135af', '23132b7df2da8457']; context = [[242, 275], [0, 30], [37, 72], [237, 267], [8, 36], [35, 71], [4, 38], [69, 98], [88, 116], [55, 83], [30, 64], [16, 44], [23, 59], [136, 169], [92, 128], [146, 174]]; loss = 0.008998 low_pass_filter = 0.300
+Epoch 0: | | 7419/? [1:16:43<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.00train step 7420; scene = ['48f39fdb36aced7c', 'e49ae09c86374272', '2403dfbc8cb4d693', '58275afa53d48646', 'e27944e20f739de1', '2362cb1176998093', '49905e5c42e7463b', 'e8dedfa84d3d44df', '1201a08ff8429b5c', '3de5c60abf559a69', 'eac342d936e459d0', 'd118e19d42fcf599', '9861ab6d738171e6', 'a28222bcb38d29b1', '1413db38e3f70b4e', '3e33442f3b19526c']; context = [[12, 47], [101, 130], [4, 41], [58, 86], [19, 48], [146, 178], [183, 218], [98, 135], [141, 175], [7, 35], [1, 37], [172, 209], [20, 50], [47, 76], [48, 80], [7, 40]]; loss = 0.012665 low_pass_filter = 0.300
+Epoch 0: | | 7429/? [1:16:49<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.00train step 7430; scene = ['a7f4634cdbb5bd73', 'b1960a647463572d', 'f5b005cd4438e2c6', '133df6db7dd9dab1', '24e2d1df4ded73d6', '2a3b8b8cc1fedcd3', 'ab1a470fd0aa350a', '455ef17251608d98', '5d353287276b3f72', '66680f2ffd969227', '46d6eb17b0db43a0', 'a94cf3b3612d30ab', 'f094396e9b12ff81', '7de38ac4e903910f', '6c13cc66ae616e9b', '9388ca301f4e0bd1']; context = [[157, 193], [22, 51], [26, 63], [230, 267], [38, 69], [9, 43], [123, 155], [53, 84], [133, 166], [28, 63], [21, 53], [0, 33], [8, 39], [70, 101], [1, 32], [7, 35]]; loss = 0.010046 low_pass_filter = 0.300
+Epoch 0: | | 7439/? [1:16:55<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 7440; scene = ['837c70059f593fab', '47dc67897b5ed04b', 'd1ab1dff073d6d37', '52ba723e1b5e31da', '8902e97c5814433e', '30e1d420b926d6f0', 'd1a496112cee9a32', 'd069c35354465fa9', '161cc1c3c7d7f131', '09a1e9bbded02341', '2a23966bfac99977', 'b23cbee05407661d', '3918e4998619b227', '7bf71b62cccdf2fa', '1db855eb2be5b983', 'f372609a6c75bced']; context = [[33, 66], [56, 86], [73, 108], [124, 159], [15, 49], [69, 103], [47, 81], [8, 36], [6, 37], [80, 113], [30, 62], [18, 49], [75, 107], [82, 119], [32, 65], [26, 55]]; loss = 0.010347 low_pass_filter = 0.300
+Epoch 0: | | 7449/? [1:17:01<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 7450; scene = ['d44c8063e3cf6035', '70e481732168c917', 'b5af5097b8dcc2ad', '869ab3af4fd90d3f', 'a050a9a892104e14', '9668707d6167a299', 'b1c0d6884ffdf290', 'fcdcc21f43af696d', '1969ed97e68d83d9', '0c199c575b699444', 'cd11338af203e348', '86ca06e3d7be0bb8', 'a8ab50f4ebaccbb7', '290a5651c6af5c70', '4a0b4e760a68697a', '6574856af56d242c']; context = [[98, 128], [13, 49], [51, 79], [1, 37], [47, 78], [130, 163], [233, 265], [8, 39], [40, 74], [183, 213], [77, 108], [72, 108], [83, 113], [29, 65], [15, 52], [0, 32]]; loss = 0.009738 low_pass_filter = 0.300
+Epoch 0: | | 7459/? [1:17:07<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 7460; scene = ['d1f629da3a816c03', 'fb465ee3fded7d42', 'f3438f9da04db709', '12dea77c68134296', 'daed58d6174274ec', 'c61b981dbf13061f', '5a71e24754ea107c', '1cfc5fe62ca5877e', 'fa9ceb9287bcad19', '602ca1341a14bc28', '784279860f251724', '32a0b18fedacbcbc', 'cd0fcb3d5431cb79', 'b3bcd04c589274ad', '25ea8df146574b53', '2a5dc81550340f67']; context = [[205, 235], [35, 66], [40, 74], [20, 55], [66, 99], [45, 73], [2, 30], [25, 58], [58, 91], [0, 32], [83, 116], [46, 83], [31, 66], [61, 89], [52, 81], [50, 79]]; loss = 0.008953 low_pass_filter = 0.300
+Epoch 0: | | 7469/? [1:17:13<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 7470; scene = ['f4f25a0c7f0a7678', '46fb6702ed1b9967', '05bfc76ddb55b2a7', 'd777e52d81fbc515', 'f2877fd3e188aca4', '6ef3099511d24386', 'd0bae56464f6702c', '756d2cf95e970c61', '0474328f4cefd619', '8039342cf122c12d', '38169a64d14c2968', 'fa2944a076811544', 'fb3de7df9bcd21fe', 'f48d46ed6ff11fd2', 'bec5a96b9f3d3958', '99e524fca7e5a5d0']; context = [[18, 49], [187, 224], [61, 89], [96, 129], [104, 137], [59, 91], [96, 131], [56, 90], [44, 73], [41, 78], [5, 41], [1, 33], [48, 77], [116, 153], [110, 139], [20, 49]]; loss = 0.009639 low_pass_filter = 0.300
+Epoch 0: | | 7479/? [1:17:19<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 7480; scene = ['9a8ca42aa257eb7d', 'ea6756e8fdbaa3b8', '53a2168e29e700dc', '289adac94281ccb3', '1318e656455d56d2', 'b9b73f46f1e5127a', 'de8093f620537a4e', 'b86ade7fa8b48715', '6a417181b27738ac', '57cea8a71cab48cf', '33e825f8a32b472f', '443235aacac2c1bf', 'd02e6b104723d39a', '1290f3a6418b3dde', '051c6fc0722d51f7', 'a535813b18e86b5c']; context = [[18, 51], [68, 105], [27, 64], [17, 46], [21, 57], [16, 51], [108, 138], [1, 33], [1, 37], [39, 74], [3, 31], [188, 217], [61, 90], [135, 168], [12, 41], [27, 56]]; loss = 0.008822 low_pass_filter = 0.300
+Epoch 0: | | 7489/? [1:17:25<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 7490; scene = ['4b29e2bc720d41fa', '6e4b984075d9d0be', '262e52b03eceb5c9', 'b7a14012ca652f07', '2a61433c583f4052', '5d50f21bfe94df8c', '43c617b1ffaffd39', 'd715711625070e85', '7c94ad911e2fd023', '4b12a530a5ab03d0', '08c09a60291a2f5b', '8663eb32379fcd45', 'f4286518f13f9e65', '5ac9dbde9cf64eed', '3555b2375c745e15', 'fdf39d23e4d2212d']; context = [[48, 79], [58, 87], [156, 188], [65, 94], [21, 52], [30, 66], [39, 68], [190, 220], [119, 150], [214, 248], [43, 76], [39, 68], [161, 191], [34, 67], [51, 86], [5, 41]]; loss = 0.014635 low_pass_filter = 0.300
+Epoch 0: | | 7499/? [1:17:31<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 7500; scene = ['8ae37caf70acdf7d', '4305d5a5fab3efa5', '4d53551d81b226fc', '7b8ae88adecfb87f', 'f403f83a9cac4ba5', 'eb1785431a9d20c6', '6b5033800250e9d7', 'ff8cf27635ec8f79', '5a149fbb9799b5f1', 'a50412be59011ef1', '72c76753251034c4', 'ec3fcc76dc7935b4', 'af6b1c8a353f5f01', 'd001a09d4047c3d9', '95604de455068830', '94ef76e68046fcc5']; context = [[67, 100], [20, 56], [33, 67], [18, 47], [53, 88], [2, 37], [16, 51], [10, 45], [2, 37], [4, 35], [5, 39], [20, 50], [17, 54], [209, 244], [63, 96], [118, 151]]; loss = 0.009210 low_pass_filter = 0.300
+Epoch 0: | | 7509/? [1:17:46<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 7510; scene = ['1dcb240325fa36e7', '8a44e9b2b9fa4231', 'b1d60da6d903d72b', '045404bb5789b725', '67fea88caebb1c14', '96c9a9e1759d9920', '76ae405bf2de98c2', '9eb97841e5239d91', 'a05e5fa0cbf32e4d', '170fd5c0b4a9f64a', '8385639daed6ad35', '59c3bfed205e6641', '3dd55783dba98a3a', '9b31d2cb5cbbcea4', '163767f16a78b79e', 'cc155e5c5b49b6f8']; context = [[175, 206], [9, 40], [0, 31], [10, 40], [147, 177], [69, 104], [85, 117], [72, 109], [99, 134], [40, 73], [200, 230], [28, 64], [10, 47], [191, 227], [133, 163], [84, 112]]; loss = 0.010368 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 7519/? [1:17:52<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.00train step 7520; scene = ['a1b823b2106e429a', '5843a30d98578bdb', 'e8f23f5065972ddb', 'fe9d806cb3061f25', 'd79b8c2b038b19c8', '8e9fcb869497ce78', 'de325a80c227d153', '7f514243a8e4b551', '693058564e542cee', '438dbd54911e9b04', '9379827756f6a6ae', '06f886c287ca0a8b', '18060d9b9389cd2e', '4de8ddccf7eee0ba', 'f3fb6cb6a5e93e44', '2d0593bbf7b581af']; context = [[38, 70], [148, 183], [71, 104], [24, 56], [31, 62], [80, 109], [84, 120], [146, 177], [8, 39], [242, 271], [59, 91], [2, 31], [18, 52], [63, 91], [43, 78], [6, 35]]; loss = 0.013334 low_pass_filter = 0.300
+Epoch 0: | | 7529/? [1:17:58<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 7530; scene = ['35a2c80839ed1a83', '8889a2be8a61f78f', 'a11a6794ec0ca556', '493811a076df63d0', '406691a64cced965', '19cea81590502fad', '2479a45557099a67', '7885f21461cd4377', '9d7bae0be039a957', '86e586b33e7b6f38', '4ae3a70493900f6a', '5ccebb9ae8057cb7', '9c51cf4e89113126', '1df9284b9b3b08ec', '75f9f8b758663455', 'ecd0d0bb2819ae9a']; context = [[83, 119], [71, 103], [13, 45], [13, 48], [53, 83], [166, 197], [5, 40], [3, 38], [135, 168], [195, 232], [41, 75], [23, 59], [82, 111], [60, 88], [82, 113], [56, 89]]; loss = 0.012247 low_pass_filter = 0.300
+Epoch 0: | | 7539/? [1:18:04<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 7540; scene = ['9968065bf8012a1d', 'f55fb3b30b920fc3', '0ef0b6b5adf76ddd', '76f03f41f591d31d', '99ae43a0c2b382ed', '7d6d4af2634f852b', 'a0e1144d26761235', '1a5cd254714d47a6', '66a4793cc9c13499', 'd13f87ebbb540503', 'fe6824a4a09b11e0', 'f7d98971d27dfe00', '98ce0acd742da43d', '69f4af955f0c5456', 'a35e52a09f508fe6', '75395572e67504f1']; context = [[55, 93], [23, 54], [16, 52], [231, 264], [16, 54], [0, 35], [31, 66], [132, 167], [81, 111], [41, 71], [92, 130], [16, 45], [32, 66], [55, 84], [51, 80], [10, 43]]; loss = 0.010020 low_pass_filter = 0.300
+Epoch 0: | | 7549/? [1:18:10<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 7550; scene = ['cde7d671fa8d61ac', 'c7f7303fcbc52b43', 'b23d97a750c719ee', '4b148538b0785a5a', '359705f603b8f42a', 'dec8847e03333be3', '775b82d34796713a', '4a640e2c24d90419', '1ae6761f9dcf6728', 'aa1fd4353ae6a597', 'a87a09ed2753e174', '188eb86b0baa1531', '580bbe2141b9e6e2', '338ce7509f071f4a', '012122018a5c884c', '252d4d4ba3af45eb']; context = [[1, 31], [51, 89], [42, 79], [109, 140], [65, 99], [130, 167], [81, 116], [2, 38], [6, 44], [9, 42], [0, 34], [122, 152], [17, 48], [54, 87], [98, 127], [4, 38]]; loss = 0.010723 low_pass_filter = 0.300
+Epoch 0: | | 7559/? [1:18:16<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 7560; scene = ['d5c6cf0d7192f035', 'b6a0afa8b19af0a1', 'af72f5eb3b6193e9', '367d250609302784', 'da9dc8b7a8d9b706', 'f191a29369a997dc', '56b29dbbfdd767cd', '9d858244aca1856e', '0189e5449d3efb7a', '929a088b7df923f2', '20e017ff3928b7b1', 'a96e04d588ad2a6f', 'e7fac01853ef79e7', 'a5cc99f839975fc2', 'cd60f9e0fbcb6cf4', 'd08757e1f2a76131']; context = [[100, 135], [101, 138], [21, 54], [75, 112], [64, 99], [123, 154], [48, 82], [15, 51], [29, 63], [53, 87], [17, 54], [82, 111], [190, 226], [78, 110], [58, 95], [77, 108]]; loss = 0.010570 low_pass_filter = 0.300
+Epoch 0: | | 7569/? [1:18:22<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.00train step 7570; scene = ['00104677f98ca3c9', '854e67be5e2269ae', '88ccb97711c25fc9', '669a9eadc281948b', '16a7631f41a026e1', 'cd5d7eac3e6a67fb', 'bd5ca4829283b11f', 'e81fd25426cbbad2', '5500c64041dcdc69', '4fe25eb6dbfcf1a7', '4e12f7796feac812', '880a284f8c74d2ab', 'c2614148023a0092', '99300092146a884a', 'fdfdce9f3fc006d8', '93db697953cb8fbe']; context = [[25, 59], [30, 59], [6, 39], [92, 122], [40, 78], [23, 57], [123, 152], [40, 78], [25, 57], [12, 45], [57, 88], [132, 161], [80, 113], [3, 35], [206, 235], [25, 62]]; loss = 0.010218 low_pass_filter = 0.300
+Epoch 0: | | 7579/? [1:18:28<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 7580; scene = ['cd3a4584964695bc', '4e1b2a3897227661', 'c90733af6a8fc29a', 'fe9263e6769a380d', '41962a5fd8fca53a', '4ac2729ea26878fe', 'cebe3be57fb380f1', 'b957dc0816f778cc', '387df848c49ce543', 'd3141e047f94083c', '3d4066bca07d103e', '52701bf4a3f2a21e', 'ec8c329c574f5821', '65c59ca59d640f1e', 'c4ef62d643a5109b', 'e1521248f697a339']; context = [[177, 215], [46, 79], [32, 66], [38, 71], [73, 106], [138, 167], [4, 40], [29, 65], [2, 36], [210, 246], [91, 125], [67, 97], [52, 81], [51, 88], [112, 149], [27, 57]]; loss = 0.008747 low_pass_filter = 0.300
+Epoch 0: | | 7589/? [1:18:34<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 7590; scene = ['f13dcb3a9ac8a857', '7f1300a8832a91dd', 'd4aac0088971ad5d', '4d2b58c1c68d7a70', '77edfd95c0bdcfba', '591d135911e6c386', 'e7a80a3722babaf6', 'e9361db186056e85', 'c445efec04a8b903', '43d15b8037853a27', 'f1a0acc23bcbc5d9', '9a8f5fc70818b92b', '63ab8f9d70444a2b', 'fb9098aabf4c2711', 'afe980fa0bc82222', 'fb1de25d6e5e68e5']; context = [[9, 47], [114, 144], [39, 72], [1, 30], [35, 66], [2, 33], [44, 73], [95, 133], [37, 73], [58, 90], [136, 172], [99, 128], [78, 110], [1, 39], [6, 41], [63, 93]]; loss = 0.009367 low_pass_filter = 0.300
+Epoch 0: | | 7599/? [1:18:40<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 7600; scene = ['5f2c6110d2bfb3c0', '1f9b933a07d38dfd', 'dad7340a868bad94', '02edd480c0e41501', '49c4f3fa721ce174', 'ca069a3e2dcc191f', '623f56ee4fc47c46', '4f03796c0bdf495e', '262b698241a98781', '845ee057d436a995', '20dd4ec470a5cf7b', '7d92d0c0bb3f0989', '4d5593ce15e317ed', 'b8221d91d8956603', '30b51cdcd3c85fb5', '2fb39167f2048739']; context = [[31, 62], [37, 69], [164, 197], [20, 56], [21, 53], [16, 48], [36, 72], [32, 67], [2, 35], [59, 96], [120, 152], [32, 68], [78, 116], [16, 45], [195, 225], [12, 44]]; loss = 0.010147 low_pass_filter = 0.300
+Epoch 0: | | 7609/? [1:18:46<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 7610; scene = ['1c6199d31018d9f4', '3fe89efff3d1059d', '77f0316c73a1098f', 'f7030da7965f4802', '513986b76c939519', 'a2fdff8f3ea9d692', '7add501fe23a7ce8', 'b29f6dd77451ab4f', '58c80e5820b75155', '52686964de0ddc8d', '200d9ecb37021957', '82cb6547e9e4764d', 'da2089bb834c5d90', '599229267f8aecef', '0a1e750a4a0d5a2e', 'b7f5fcfd690b5c55']; context = [[38, 68], [51, 85], [1, 36], [19, 52], [154, 185], [49, 78], [97, 135], [29, 61], [152, 185], [7, 36], [3, 40], [57, 89], [105, 137], [50, 79], [57, 86], [18, 56]]; loss = 0.008936 low_pass_filter = 0.300
+Epoch 0: | | 7619/? [1:18:52<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 7620; scene = ['18c3f352c7d6dc92', '900771ff22868f89', '5e6e2a1a1c382c52', 'fd68cfff861284e0', '9e58f95fd4a31468', 'dcb10b5b0c4c3853', 'ca9b53deb1359193', '2e2409e5ee0d8233', '861bad9244603e85', '57c4c871ad8cb634', 'ac56b8116af8c536', 'a56d066178264232', '84f5ebc130318167', '7bb8d358ee6c9c94', 'f1ef7c1adc5ec36d', 'd71c2d50ee22912b']; context = [[96, 125], [34, 72], [15, 49], [3, 37], [28, 62], [3, 32], [13, 51], [49, 85], [9, 38], [6, 36], [99, 131], [5, 36], [25, 61], [15, 48], [18, 51], [15, 45]]; loss = 0.011931 low_pass_filter = 0.300
+Epoch 0: | | 7629/? [1:18:58<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 7630; scene = ['b789c7458ec68143', 'dea5bd0f77069f72', '0ea852338a77c84d', '53db70b63ac3990c', '65cdd012231a757c', '6d70eee02ef9d6ff', 'd8ddebbd5a79364b', '4b30f3b820875a1a', '1e796863c062efaa', '75f7df7e153bb467', '84335596c296225a', 'bca757afa6825a39', '9313282562b4c82a', 'edc39c2e54f4dd24', 'bc34ecfb3c809d97', '51ba892c38152086']; context = [[31, 60], [84, 116], [52, 88], [97, 126], [154, 187], [41, 70], [34, 66], [16, 51], [39, 69], [25, 57], [114, 144], [11, 45], [30, 64], [42, 78], [35, 73], [35, 69]]; loss = 0.009620 low_pass_filter = 0.300
+Epoch 0: | | 7639/? [1:19:04<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 7640; scene = ['28be161d37f468d0', 'e4a04ce635b099dc', 'ba9f28692c62d379', '35adc3690881195b', '91c682985aabd6e3', 'eede269444f4bead', 'ad986b13d4db790c', '485274f02ea43b07', '80c31b550426d52f', '873339b3cca41d9d', 'b7323c1930147b45', '2944c41941a725e9', '547ec2a373bca762', '46d291b62f5032b2', 'a7397b2a4fdfd7fc', '1c4c57c62457fb2e']; context = [[22, 51], [66, 95], [29, 59], [119, 156], [0, 37], [102, 131], [15, 53], [42, 72], [228, 258], [32, 67], [2, 36], [25, 56], [186, 223], [35, 65], [24, 61], [12, 45]]; loss = 0.011489 low_pass_filter = 0.300
+Epoch 0: | | 7649/? [1:19:10<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 7650; scene = ['b09e289b3dc5b7f4', '278f61f8ab774b4f', '4cb5a4167f3efffa', 'd4b73954f873679a', '295a4324517ee9bd', 'b99e5b404aa9be0a', '73fef5139753e974', '6fb2aa1d31d527e4', '5c0a8d4d61b56c5d', 'c6cea245140c3f81', '73a5af87f854aa5d', '11ce93a3b415329e', 'c2ac8ef4459af817', '6e16f2a6fd80bce9', '3acd2a0d166e55fd', '977331675ce354c9']; context = [[17, 55], [15, 52], [8, 41], [11, 48], [98, 131], [126, 155], [11, 42], [47, 80], [12, 49], [76, 111], [4, 41], [10, 39], [59, 92], [22, 60], [182, 220], [1, 30]]; loss = 0.010817 low_pass_filter = 0.300
+Epoch 0: | | 7659/? [1:19:16<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 7660; scene = ['b4f1e78ec56bbfaa', 'd6e17ca4f4f8b6a8', '6daab8e7b3f7c0f8', '3f5b8daee840078d', 'fb7b841583db818a', 'bc6fdf7fa5a3cd08', '4f2085edaa43d79f', 'c3d3e599f5b98ec4', '024d43f3e2200d02', '48cb4cd6d8304166', 'e610b6e1446a770d', 'da2a7bb7a32a94df', '0625ac4ab070fb87', '572ff873f8ada192', 'ed9de3b95ffec046', '426c02bbb74d281d']; context = [[5, 35], [14, 44], [27, 57], [66, 96], [180, 214], [125, 158], [175, 204], [30, 59], [127, 161], [6, 35], [66, 98], [111, 145], [22, 52], [52, 86], [46, 84], [4, 35]]; loss = 0.008018 low_pass_filter = 0.300
+Epoch 0: | | 7669/? [1:19:22<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 7670; scene = ['67b991e3e371c9b4', 'c2e5059160758f32', '31ee94df5ad93459', '387aaba2ad42d337', 'c9de8fca435920b5', 'd3ba844d429e0637', 'ba3afdb34c569180', '86cbadce0ca5921a', 'dbf54956d949c416', '4d8ed991890a31e2', '8812c0981c6f30a8', '13f23d788d0a3bf2', '8b80a0150e20f2f2', '1ceacc053b551f8d', 'dc1957e821ca7ae1', '2c748dc404ccbd54']; context = [[29, 62], [66, 102], [127, 165], [75, 105], [18, 52], [8, 43], [140, 176], [74, 109], [27, 56], [80, 109], [83, 114], [5, 42], [3, 37], [16, 45], [43, 77], [29, 60]]; loss = 0.007828 low_pass_filter = 0.300
+Epoch 0: | | 7679/? [1:19:28<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 7680; scene = ['7dc5678b391a300b', '760c2ac3301f9830', '720742ec46570641', '5853be7330b4b2af', 'a40b2a44d4b8081c', '3c44c60aed259d91', '3c7bce242568d273', 'd0d4ad4d03d611ba', '5a042ffa11586731', '28f817c51f5fc676', 'ed9fdd6526128f26', '903c0556273ddd04', '31eb8ff621bb7ced', '94451d81f8e139cb', '2dfd6fa64b4b8622', '4b98f62e96b7e00a']; context = [[22, 56], [7, 37], [7, 44], [51, 87], [13, 47], [62, 99], [24, 61], [33, 68], [28, 57], [28, 63], [13, 51], [155, 191], [2, 37], [23, 59], [78, 116], [8, 43]]; loss = 0.016248 low_pass_filter = 0.300
+Epoch 0: | | 7689/? [1:19:34<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 7690; scene = ['b6a1c51335c46f66', '3b3cf18766226dba', '53a78f0397e97484', 'a1a1232aaf87f494', 'c9549c302dd8199b', 'a6716ac7a4815ded', '6c57545257660e6c', '71712c08e8ef2a32', '8c8616ef6d449859', 'f7abb89a68f6b66e', '63833dc00510be0d', 'd252ca12cb81ba14', '817922fc5c11a43d', '3e5b496f2549f58e', 'b597201478c9181a', 'ca5b332151e25772']; context = [[201, 239], [6, 42], [16, 52], [14, 52], [50, 85], [93, 124], [102, 131], [54, 86], [47, 83], [206, 238], [75, 110], [46, 80], [11, 41], [60, 94], [218, 250], [26, 64]]; loss = 0.010544 low_pass_filter = 0.300
+Epoch 0: | | 7699/? [1:19:40<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 7700; scene = ['d324f36129c89fa7', '91188f3f75824ae6', '32a01427f04b7038', '742400ae02982a58', '08795007f7dbe014', '5b24cc641fd8e56a', '50ebba7498d9b389', '2b51afd20f93fbb3', 'bc38d6696f19b9f5', '4a36de0119c93c8d', '7016fc88f085f2bd', '314588c4ee5d31ac', 'fb9c7ba5d2ee795f', '3a3123960a5b3070', '2cedb207ea3ce853', '1fe53207ba36202a']; context = [[74, 109], [71, 102], [5, 39], [44, 73], [193, 230], [65, 95], [39, 70], [73, 111], [91, 123], [27, 65], [67, 96], [9, 42], [101, 139], [6, 38], [1, 36], [69, 99]]; loss = 0.009774 low_pass_filter = 0.300
+Epoch 0: | | 7709/? [1:19:46<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 7710; scene = ['5e55f309753b5ce4', '3af84daf652d5c9d', '6c3a059a4bb42347', 'a90cd28742cee5e0', '9aea9a519266134e', '5f9e388efa364f74', '3cbe6fe0f3f71e16', '45a9f07df2162f72', 'f75e151b66f83348', '8c9aa1244d6b8737', 'c0b9d76884655dcd', '9f3bcd7cc09b869d', 'b220e8591b6048ba', 'af10100731bf2226', '9ba2d62e72db7145', '01b5eee3faf8485a']; context = [[123, 156], [4, 38], [40, 77], [20, 58], [42, 72], [46, 78], [75, 113], [15, 47], [81, 114], [74, 112], [14, 43], [40, 71], [126, 156], [64, 94], [13, 43], [73, 108]]; loss = 0.010094 low_pass_filter = 0.300
+Epoch 0: | | 7719/? [1:19:52<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.00train step 7720; scene = ['4e6e6db5462cb1c7', 'dc376ea709de6a6b', 'c7e94713ef1f1ace', 'b730ba2045aa78eb', '9bb0448e7cb2f733', '75790c62002de4f2', '0cbf1454a4391523', '5dbc84083496e415', 'dff181c503e5c202', '66c3771cf7cb96c2', '6dd4b348223c880c', 'f0b0c2b2fa790b94', 'fd4c9fb0fae56ccd', 'f3b24cf238154fc0', '590f0b63f12a500d', 'a8cef6a851fbea3c']; context = [[20, 55], [156, 186], [25, 54], [20, 52], [37, 70], [36, 65], [57, 93], [11, 49], [2, 40], [216, 248], [11, 41], [26, 64], [32, 62], [2, 34], [3, 32], [79, 110]]; loss = 0.011158 low_pass_filter = 0.300
+Epoch 0: | | 7729/? [1:19:58<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 7730; scene = ['7fdf985ba46e978d', 'c0fa0cb15499fc43', '0e5f43adc84b0435', '72f2624f07a5fa16', 'c1f13598d80903f0', '5e64c580f02995fe', 'f0362371b3876f4c', '975b84c30ed18547', '45477b553ecc8bc0', '6f3c6b0d3f33650c', '137f03627c44f449', '14f946268ad74b0f', '63899ad40044150d', '1540410113b2f9c1', 'b355ec5ea53274af', '356b3796a079db20']; context = [[5, 39], [76, 108], [38, 71], [0, 34], [0, 30], [174, 207], [37, 66], [74, 107], [20, 54], [31, 62], [7, 41], [42, 77], [52, 87], [2, 33], [1, 32], [57, 89]]; loss = 0.010715 low_pass_filter = 0.300
+Epoch 0: | | 7739/? [1:20:04<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 7740; scene = ['f08b650e63b795f0', 'fc02b2528ee613e1', 'ee6ce41db1f44f01', '4a18f49c0e887115', '106f8204a9e37f52', '7d634ffc2785a9f4', 'f81c46fec218b506', 'e7fcb10ae826b13e', '9ac8241a27b0ec6d', 'b8c497090fba93d4', '6a23616a2361111f', 'fecda62970485d2b', '99a11af3dcb2bd13', '8dbf79bf8fb56328', '10542b29d3d73bfd', '882350c0ebe1872a']; context = [[17, 52], [90, 128], [2, 32], [35, 65], [169, 201], [71, 103], [82, 120], [34, 70], [224, 260], [23, 55], [4, 33], [0, 29], [224, 255], [64, 101], [37, 71], [64, 101]]; loss = 0.008756 low_pass_filter = 0.300
+Epoch 0: | | 7749/? [1:20:11<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.00train step 7750; scene = ['0e4be95a7a352b3e', 'f9d4d09bb92dac5f', 'c7c6afa266a7c768', '9eb8e7f262b10c23', '8b950107c02ffaa9', 'f5d47cbf373ef48c', '56ca12de78c49588', '1352e11525407ad0', 'b948ce0680ae4e32', 'b79cba09d12f8d24', '829a28f1c08f5a85', 'ea4d05de31555896', 'c3774b5bec23a553', '637b4d4424886b66', '7f534ff603a04b87', '73b3baa378bd5c87']; context = [[240, 273], [45, 78], [6, 38], [9, 40], [45, 76], [25, 60], [13, 49], [13, 48], [33, 69], [10, 47], [20, 55], [40, 74], [28, 61], [56, 94], [58, 94], [37, 69]]; loss = 0.010301 low_pass_filter = 0.300
+Epoch 0: | | 7759/? [1:20:16<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 7760; scene = ['e76debad49d94294', 'ee19a4079a07b2fd', 'b6f14e22ddc7deac', '85ba4b907823cd95', 'c6b9472bf055527a', 'a6c866d1b23c3bf5', '9911e5bd5013874e', '91888298fd1b9b3c', '499eb3b7f796856f', 'd4642a649788a10b', '1f0ed2f5fecc5354', '845dddb2e014cdc9', '19680d909b12ddda', '3a2204326cfd6610', 'd3ca9be81f2783aa', '45da746b8cb04863']; context = [[12, 42], [185, 221], [13, 49], [0, 29], [38, 73], [3, 32], [59, 97], [27, 65], [1, 30], [145, 178], [129, 167], [21, 51], [1, 30], [245, 276], [111, 149], [26, 64]]; loss = 0.010547 low_pass_filter = 0.300
+Epoch 0: | | 7769/? [1:20:22<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 7770; scene = ['aa6baa58fe0e6823', 'c736f11c968c7121', 'ab4998d89b2a8d5f', '5523e72be12eaf78', '2809cd543b89ce6c', 'c9b3244389a84c23', '4dace0a9778018eb', '9954d8448441bae6', '5b6461227829a452', 'f46cd6716555abab', 'd5325aebc6be807e', 'f563ae2c67ee8192', 'd950e7899ea3c6b5', '13183ca42e42d694', '3a3bbbfe1b04ac16', 'b62e53f9c8d0c021']; context = [[183, 217], [22, 58], [48, 84], [33, 68], [4, 37], [5, 38], [20, 49], [51, 89], [15, 52], [22, 55], [156, 193], [124, 154], [48, 78], [9, 39], [13, 44], [5, 40]]; loss = 0.010549 low_pass_filter = 0.300
+Epoch 0: | | 7779/? [1:20:28<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 7780; scene = ['04a7a63a820101b4', 'ac853d0fcbeb1ef9', '48cc352969a825b7', '47d0a3e0e5a96b1f', '46bb43d7e66f9559', 'cc196894bc6ae6ec', '2a985334864b8610', '0c2aa8503f334e08', '970270fa27de8018', '20185dc6c94840fe', 'f6c87d935ee0981e', '1a9d2048f2180079', '60567e5e1941b27b', '3e9becce3849d77f', '549c40ea8ce3038c', '94d919d55f8b5d90']; context = [[8, 44], [18, 51], [22, 59], [53, 83], [198, 229], [112, 145], [49, 86], [202, 233], [22, 58], [28, 58], [8, 38], [40, 77], [51, 81], [70, 99], [18, 52], [12, 46]]; loss = 0.011315 low_pass_filter = 0.300
+Epoch 0: | | 7789/? [1:20:35<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.00train step 7790; scene = ['613c8fab1611af00', 'd1dd037c793c6600', 'ca749e1bc594096f', 'ca62e7774f3d688b', 'b14338773e321e61', 'e4353269f69c4e0f', '98d35dadb621cdd3', '46098a3607b75cd0', '736a2b17f44a2c36', 'f744455fc964a260', '600e0fb99c2b3817', '6f4019062371b8fe', 'fe2250f23e91261e', 'cc08397f41911501', '036fdcef477396ee', 'db52871fc7ca0bfd']; context = [[23, 53], [77, 111], [21, 54], [9, 47], [8, 39], [25, 60], [27, 65], [59, 96], [33, 69], [80, 114], [8, 46], [12, 48], [18, 52], [23, 52], [52, 81], [73, 108]]; loss = 0.010430 low_pass_filter = 0.300
+Epoch 0: | | 7799/? [1:20:41<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 7800; scene = ['dad822bc57edd5c0', '0482887f7befdddf', '7fcf22e08f55d9dc', '1d6b02844df00066', '536bdfd087829c69', '502c2d01977073ee', 'e5d56d435c2d43de', '93fed0283d683198', 'd805fb46f3952987', 'd1f11ff6b25136a6', 'e9b3ee54d1ed8bf3', 'e8556bce269486a4', '3e8bf9b4348c73d6', '5d94f429452c77ae', '88d99c13c9aa2879', '53fe362fe9f15a4a']; context = [[32, 62], [25, 63], [207, 240], [37, 70], [2, 36], [100, 130], [15, 48], [43, 72], [17, 50], [4, 37], [39, 76], [40, 69], [99, 136], [20, 53], [17, 50], [93, 131]]; loss = 0.008936 low_pass_filter = 0.300
+Epoch 0: | | 7809/? [1:20:47<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 7810; scene = ['f165d20dbfd51f42', '15bcc07bca382a0b', '2d66737832c4cd18', '9610550dc2158bff', '15bbc78cbb8744eb', '765969df0c10cc67', 'ce357c0e48f61ef9', '4e3342227bac9194', 'b53bba5522b4b8f1', '6920ac9035ec1bc6', 'b479eeed22e8e59e', '8e38110489730c19', '183191ba211499fe', '969a6b7b65dd674f', '04534da81f43a7f3', '0c222b2b73873e81']; context = [[7, 43], [179, 217], [108, 142], [52, 84], [19, 52], [1, 33], [29, 62], [102, 131], [20, 49], [31, 66], [75, 105], [10, 40], [22, 57], [8, 37], [3, 41], [91, 127]]; loss = 0.010380 low_pass_filter = 0.300
+Epoch 0: | | 7819/? [1:20:53<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.00train step 7820; scene = ['ee7916d69154f3ed', 'f0a57ad32f7a615a', 'e6382809f20bc883', '2962373860639fa0', '8a1425c529010a20', '1a34d38778fc33e6', '2f9e585b65804e4f', '594a9f9c8b76d996', '4b4df0a0720dce99', '8aa87dbef45279df', 'bd16beec5b57de15', 'c0957c359b852c35', 'b918852a1561726c', '3b2d83497d98dc06', 'ef4731165c5ecb86', '4e6b3c33bd1b41ab']; context = [[65, 100], [0, 34], [40, 73], [106, 143], [49, 80], [188, 226], [13, 45], [61, 99], [12, 45], [36, 65], [22, 55], [151, 181], [86, 123], [175, 210], [26, 56], [11, 45]]; loss = 0.012191 low_pass_filter = 0.300
+Epoch 0: | | 7829/? [1:20:59<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.00train step 7830; scene = ['beca6316630c1e57', 'c4ac11db4065a715', 'ade8a86455248182', 'b67893ee6b828446', '68c242b83de652e9', '209340b412818760', '50f5f0c69d553bb4', '045934369f1fc08d', '0d036f88d76b0d2d', 'd26fdc78269b53b1', '2aa9e62630f3acee', 'b2dd9639336d0fd6', '2051fd8a3c639b9e', '493ff377d55d79fd', '524457903526954d', '0f01b8eebfadbfe0']; context = [[16, 52], [21, 57], [41, 71], [45, 82], [2, 38], [20, 51], [11, 43], [36, 72], [68, 102], [48, 78], [91, 128], [13, 48], [7, 42], [15, 44], [29, 61], [27, 59]]; loss = 0.010225 low_pass_filter = 0.300
+Epoch 0: | | 7839/? [1:21:05<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 7840; scene = ['84c1605e1b0fd544', 'cc089cd07b364bb2', 'f1f75b1ccbb7cd62', '6f5dadb86bb15604', '184b7d143f36c10e', '383eef6f20986610', '460e5799fd3f2446', '037e13cd4894ab2a', '5a04796cace71282', '7ceccbd59af6b957', '078801ae3578e3e4', '62eba2b87c032f2b', '5023f8d6088de9ce', '76d19f39d78b5460', '019c3a53ef793463', '353c419b18f685b9']; context = [[80, 116], [36, 74], [13, 47], [22, 60], [20, 53], [13, 43], [12, 49], [6, 37], [8, 41], [5, 37], [61, 99], [0, 35], [15, 52], [50, 87], [0, 37], [56, 92]]; loss = 0.011648 low_pass_filter = 0.300
+Epoch 0: | | 7849/? [1:21:11<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.00train step 7850; scene = ['fc2174569e7d2cf8', 'db8076a9bbb03e9e', '2771e4e5791527b6', '38464696d7b9cebe', '8743d6f5a3c7d7d4', '009f6e6c5aea0441', 'c4ffdc6886c6cb9b', '0350c9c065456337', '0db598812d56c68a', 'a8fa2b6540bb21a0', 'da6bfbd9e35142fc', '2dce89a97b7df3f4', 'f7bb1f4325835c79', 'df8de2e508f40cc1', 'b3019d4573e524f7', '4a756a58d9ec5d9e']; context = [[10, 43], [49, 82], [0, 32], [102, 137], [134, 169], [40, 73], [129, 161], [69, 102], [80, 109], [31, 65], [11, 48], [192, 223], [6, 42], [0, 32], [24, 57], [7, 44]]; loss = 0.012276 low_pass_filter = 0.300
+Epoch 0: | | 7859/? [1:21:17<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 7860; scene = ['c6142db747f2522e', '4fb5a592fc910ab4', '4c35cb67a64f2d48', 'cde915e016c23002', 'efa2398f2080df3a', '85dee45f94a95c17', '48c1000f6da27a64', '5ea49c4330735de6', 'a1919a3be0610041', '08b2797d44c46c4b', '6e18ee33a66f3d17', '887c0ef17477aa42', '88a941781cc6df36', '4364178b0f95b1b1', '3a1bbab383b6d2c1', '6014149afc820ee7']; context = [[9, 44], [28, 58], [72, 105], [125, 161], [1, 33], [7, 41], [56, 87], [185, 215], [110, 141], [6, 36], [181, 213], [71, 106], [29, 58], [219, 255], [122, 156], [123, 152]]; loss = 0.007861 low_pass_filter = 0.300
+Epoch 0: | | 7869/? [1:21:23<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 7870; scene = ['626e0f8b72846b6a', '0ff38ea0661369bd', '5f2e62b6917bab16', '1c0829e90380c26f', '9261780ce2ed716b', '50c3162fc29561b4', '1d19fcf1fcbfe3bf', 'b531cda2072028fb', 'f2b30a3f90bd17c2', '1a09290ef2933466', '0c6d43589658b86a', '27dd186ef87e4550', 'ee18efbe4a7eb53b', 'b348801a033b5ef5', 'a1b92e4df90f8df9', '46f21028ead1ebce']; context = [[5, 40], [11, 49], [15, 45], [14, 48], [1, 37], [5, 43], [40, 78], [170, 208], [65, 96], [50, 86], [28, 66], [68, 97], [88, 118], [47, 84], [0, 38], [1, 32]]; loss = 0.010364 low_pass_filter = 0.300
+Epoch 0: | | 7879/? [1:21:29<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 7880; scene = ['e2fa22c843ad3925', 'ff851fc7ca0be611', '6a39adec2fbbfc65', 'c37ab28939776122', 'ad0c472a7098fefa', '1706984ae313246c', '760be559ffae409a', '6a12202c0ae9922d', '612fda0cd3a9c671', '2c50c042a0695e1f', '8a4184299dfdc112', 'f7367cd6a5abce2f', '9d6a76da27e26178', '6d252b311034447b', 'a9b3f434c7a74a40', 'a1c2f356dd11424b']; context = [[118, 151], [163, 195], [28, 65], [17, 54], [36, 70], [15, 48], [25, 62], [51, 87], [3, 37], [58, 87], [8, 45], [69, 100], [44, 74], [4, 39], [8, 37], [9, 47]]; loss = 0.011619 low_pass_filter = 0.300
+Epoch 0: | | 7889/? [1:21:35<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.00train step 7890; scene = ['863f3e91a241f8e0', 'e72cb89e98c183b3', '7bddc26793e9e69b', 'c0377f906e517cf0', '873e1ebab2825e24', 'cb2ba9b4d720bb40', 'd7650f11e8692353', '4bc8b97604a22e4c', '385784497d18f169', '2b65b6494d46a43e', 'a8fb1daba5f8e45f', '6ab6e123d49043d9', '5c1f54b5fda084e4', '36e587818fe6061f', '313288acdca6b841', '8a243c9083a69e70']; context = [[30, 60], [75, 108], [42, 77], [12, 49], [25, 56], [38, 71], [7, 37], [14, 45], [64, 94], [55, 84], [19, 56], [155, 192], [104, 141], [2, 33], [101, 133], [59, 89]]; loss = 0.009602 low_pass_filter = 0.300
+Epoch 0: | | 7899/? [1:21:41<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 7900; scene = ['bbc09418541d0ccb', '9aacdb837e01170f', 'da458b177cc5b2a0', 'e246fc179798ef43', '348f41557b28f27c', 'f5a173954e586775', '7157599e110e23d1', 'ae468714e3fa31b3', '8c511adfe1edf981', '5e00fe8ddb44c346', '1caeaf11a6686a6c', '4c4fb804144e8cc0', '6d5b5729fd856041', 'feeef6e1343ba933', '6918eddc5ff5ced2', '8acbada3de9d0256']; context = [[36, 71], [171, 204], [25, 62], [22, 55], [56, 88], [31, 68], [9, 38], [65, 99], [43, 74], [15, 49], [68, 100], [45, 82], [52, 86], [39, 68], [0, 29], [164, 195]]; loss = 0.010468 low_pass_filter = 0.300
+Epoch 0: | | 7909/? [1:21:47<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 7910; scene = ['ab1c5358d3bb05db', '120391d54ad880a1', 'a7b3b1f8ad45f902', '113a7c672823203b', '9d0bfbe5b7f98545', '9dc164828900c1a5', '4373673ff80633f6', 'b833a0a3ddf1f7cd', 'a459b15b2cf89adb', '411df8d0b3faa181', '5664d39ad0f1b834', '7047779507704deb', '64e8412241a50000', '8d1ebdfc75514a26', 'df37c720c410db30', '15a03fac30b07ec8']; context = [[34, 68], [136, 170], [12, 41], [20, 50], [30, 65], [2, 36], [12, 41], [11, 40], [121, 154], [185, 223], [94, 129], [45, 78], [29, 66], [145, 178], [28, 58], [10, 42]]; loss = 0.011492 low_pass_filter = 0.300
+Epoch 0: | | 7919/? [1:21:53<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 7920; scene = ['130096860e9d4ef7', '98a1924100186241', '1c32325abe22ac6f', 'bfaddc0e4ccfe12d', '8897ca4aaa904a14', 'c7329bdb7df9f49e', 'e310d39b3b13542e', 'e83f2a56d8c098e2', 'd426c64fa2b71ff8', 'ad6382d589e53358', '28d2f24cc7e2fccb', 'd68565483c9b4696', 'f47ce554c1100cc0', '12e15379b5d12957', '763527b7ef5f0329', '2b5e6d0ebc0b794d']; context = [[112, 148], [36, 71], [19, 57], [202, 239], [19, 48], [40, 74], [17, 52], [79, 113], [2, 32], [12, 49], [34, 67], [34, 66], [108, 144], [23, 60], [37, 73], [32, 69]]; loss = 0.010545 low_pass_filter = 0.300
+Epoch 0: | | 7929/? [1:21:59<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 7930; scene = ['0ddbd037f8183e3a', '590fb5ac33ed6860', '798d4e7752255a53', 'd6d2b9231c14b140', 'd34adbecbd9fc68e', '39ff492c91df61da', '19f4d7a017c190a5', '0c45294e8621d56f', '1d470a9e42d084dd', '2ca280b29aa6153b', 'bcac3f59c3e19933', 'e590f3ea901f5d4f', '3c6965a731d2629c', 'b08656a13f10d261', 'a158e8ef80e7d2d9', '3fd2fbeaa6f74d73']; context = [[59, 93], [36, 65], [40, 75], [33, 68], [181, 219], [48, 84], [24, 59], [53, 88], [40, 76], [117, 147], [55, 93], [240, 271], [107, 142], [142, 172], [39, 76], [96, 132]]; loss = 0.009889 low_pass_filter = 0.300
+Epoch 0: | | 7939/? [1:22:06<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 7940; scene = ['9d5bedf2d85ca0b9', '1a4c46c32d5e962b', '8d6ceef8cd44e71e', 'e95687cad1947692', '30b14b9792ff70b9', 'a7f0cc76ac6738a0', '3fa7e46f69f63e82', '8705a0db1225c81b', 'd0cb1bb9d6b7b354', '0946f45440ad5b0f', 'ec25ff20b657f248', '9ed1d7c9ed46065c', '9301f8a1c7812f16', 'e7df13eca6bc6264', '1ab78e27aca2d344', 'a95046148af8e606']; context = [[49, 87], [109, 140], [30, 61], [21, 57], [24, 58], [4, 37], [22, 60], [85, 118], [60, 98], [48, 81], [28, 60], [18, 51], [35, 70], [29, 64], [96, 134], [160, 194]]; loss = 0.009559 low_pass_filter = 0.300
+Epoch 0: | | 7949/? [1:22:12<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.00train step 7950; scene = ['0e0fc78c17784636', '58dadf996a8bbaa5', '293427f95fdca384', 'd58601f62cc5e1d1', '9da6aaea2fac36a1', 'ce4dc15358ce3325', '6b5e1b730536147f', 'd0fbfb3d543e1b63', '3998d92fb5657954', '08fb209705cee001', '26530daa4809c963', 'e7ac00fe81e73794', 'e52e292fe14e6f5e', 'de9e18e33f28f47d', '041619ff29c07a62', '530e301346b04ad9']; context = [[30, 68], [25, 55], [29, 64], [83, 117], [101, 134], [24, 56], [25, 57], [92, 130], [34, 66], [22, 60], [62, 93], [7, 36], [1, 31], [39, 70], [53, 85], [16, 53]]; loss = 0.010155 low_pass_filter = 0.300
+Epoch 0: | | 7959/? [1:22:18<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 7960; scene = ['c2ac8ef4459af817', '1ef0cba4ecae4ed7', 'bb871f57112086a2', '08f55e581d3ff038', 'fee2852411318e54', '71911b4af12b9a16', '305999e29713a998', 'e63caff82406317d', '0fca31f2dbbd79b5', 'f585524ad6786b54', '8722a564706e204b', 'd98e4f128e4fcce0', 'e60d3c2cbe8722dd', '4b641eaaec862d77', '03c56cb029f69054', '1c6cd511b66d9444']; context = [[10, 42], [2, 39], [75, 108], [69, 106], [3, 34], [40, 70], [106, 143], [34, 68], [26, 59], [13, 50], [4, 41], [137, 169], [7, 43], [48, 86], [3, 37], [65, 95]]; loss = 0.012054 low_pass_filter = 0.300
+Epoch 0: | | 7969/? [1:22:24<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.00train step 7970; scene = ['c3d7c6b0a2f4961d', '0e53f99fe63ee8f2', '77c48da8f803ebce', '28b23bd8cc4b5cc9', '133d554395e41eaa', '5c6f91cf582708ed', 'b33a29e1340cb581', 'c1853d5840938ce4', 'ca2fe8b44e617133', 'e2dcc1004ef5eb8c', 'e513de8cae71180e', 'e5dca5e8131acc0d', '9531cb66276b6a53', '1287386498681744', 'f7e30aedb1da3cb0', '913fb4d757212f2d']; context = [[165, 201], [55, 86], [27, 56], [95, 128], [30, 65], [46, 78], [35, 65], [25, 56], [87, 120], [161, 196], [63, 97], [197, 232], [13, 50], [1, 33], [6, 42], [213, 251]]; loss = 0.012863 low_pass_filter = 0.300
+Epoch 0: | | 7979/? [1:22:30<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 7980; scene = ['47fe424d80ea8a47', 'e4007568f51e07ce', 'd69433dbc6bfb765', '52cc0ae108971258', '8a4818ab2308dba5', '103c2dde2e2e56b1', 'f2ace6b12f29587e', '21c0cc347df4c83d', '17989de9b9ca9ae2', '10219e288c518e3d', '806f9eb285547909', 'fae981bbe8912437', '140474b28c00f36c', '376d3eb76eb43baa', '61b2a1afc5fd5ffb', '90ae0834ac62a1d3']; context = [[18, 49], [165, 198], [42, 76], [109, 147], [4, 41], [90, 119], [100, 135], [216, 245], [31, 66], [92, 127], [125, 162], [40, 70], [19, 54], [68, 101], [38, 72], [99, 133]]; loss = 0.011124 low_pass_filter = 0.300
+Epoch 0: | | 7989/? [1:22:36<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 7990; scene = ['05c99e2ea92b8896', '90e0d93ea176275f', '61a4ef1d0a38d05a', '1e9311bf323b59b6', 'f33a3190b251b1cd', 'ae921cd4da162740', '4b44c69940828bb3', '2e887f0103cfe378', '033c76a9906e82b7', '46a475daa238ceaf', 'c54fe1ba08b7ab80', '8eeeb4da9f352048', '3bf978b258b8305f', '0dee4934bd1e8cb5', '825f5fc21ea780cf', 'e003c7d69b73e632']; context = [[208, 237], [3, 38], [33, 68], [108, 138], [136, 173], [48, 81], [44, 76], [38, 74], [61, 97], [144, 182], [17, 50], [85, 116], [134, 165], [65, 98], [0, 33], [97, 133]]; loss = 0.008797 low_pass_filter = 0.300
+Epoch 0: | | 7999/? [1:22:42<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 8000; scene = ['381f5d2faf3db200', 'cf899a800d9f45d6', '9e211976287db6cf', 'e627744abf86f4c4', '0847dfebcaac2e4a', '8caf2f657e541fd0', '8d402b322bee0fa8', '274c28b73e9d8df2', '2b5a333d84c3b569', '017e1523950d074b', '116422fe7641cdd0', '0bbbc650e13b9600', 'b2ef256ba056dc78', '8886b6ef8b1d59ff', 'b9e116b141210ec3', 'b1f6069c3adc2edc']; context = [[32, 69], [11, 44], [0, 36], [37, 72], [16, 46], [74, 106], [146, 176], [29, 66], [34, 67], [2, 37], [43, 81], [149, 180], [13, 50], [20, 50], [209, 243], [94, 127]]; loss = 0.011493 low_pass_filter = 0.300
+Epoch 0: | | 8000/? [1:22:43<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00validation step 8000; scene = ['3b273cb40c55db95']; context = [[26, 57]]
+Epoch 0: | | 8009/? [1:22:49<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 8010; scene = ['94c1d9744c3d43d8', '8898e2a210362ba7', '1c920b38bd59f0a8', '85a1f78298042147', 'b972669c5c766b18', '499843fac38f02bf', 'c41ec7d3f062292f', '6512d658e8b42f9a', '401a8412c7de98a2', 'fa815bcdb9927d2f', 'f722d2ef78cc3c1d', 'a1ae89e690a4a7a3', '1255b860546789fa', '6434fa7bf139fd26', 'a80cb16e79664c79', '56d99f2651c2e40c']; context = [[3, 33], [10, 48], [35, 73], [87, 121], [29, 65], [0, 29], [197, 226], [21, 51], [6, 40], [10, 42], [17, 53], [233, 271], [87, 116], [16, 48], [63, 101], [38, 74]]; loss = 0.011158 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 8019/? [1:22:55<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 8020; scene = ['084ed51b011b232b', '950a3f958e452a47', 'e6269988e6e7b583', '1eb0b68d52e23d57', '5d0b51a45f86ebd2', '35102167538c5f58', '593cc5773eec2c7b', '9e6f67843e195ffa', 'fdaf02c09f947336', '222358b27c7498aa', 'c80291ff8936a10e', '07d62dd06d7d3b10', '6cd5b0c2949e17e4', '37e6ad4caa7f9e37', '3667c847c4f69add', 'd15af59d414280c5']; context = [[33, 63], [23, 52], [28, 64], [14, 52], [33, 71], [1, 34], [0, 32], [5, 39], [26, 55], [120, 153], [1, 38], [203, 241], [176, 210], [209, 241], [161, 199], [71, 105]]; loss = 0.012571 low_pass_filter = 0.300
+Epoch 0: | | 8029/? [1:23:01<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 8030; scene = ['d1c3b86e61e4b745', '543822331e271917', '15592e57716c6463', '0f249091b268d203', '89c3dc5c2b6ca1ab', '168efc21cebfe627', 'cc646759aa21e68a', '1b0e42c4f8fbb88d', 'ede486da04ebdc56', '106fe8209a72148a', '09e69ab157498eda', '1570f8996b68e773', '12eb580c576915d9', 'dbb2d61205f4bf8b', '9b4f66711630f639', '0fdd7c27785caedb']; context = [[61, 97], [4, 37], [9, 40], [42, 80], [45, 79], [57, 94], [1, 33], [3, 33], [10, 45], [191, 222], [81, 111], [46, 75], [115, 151], [4, 38], [164, 199], [6, 43]]; loss = 0.009658 low_pass_filter = 0.300
+Epoch 0: | | 8039/? [1:23:07<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 8040; scene = ['d60d506eb1bebd6a', 'd22a411f16fb174b', '9f70627c899ece10', 'cfbcac10ad390afe', '31007ddb2fbda4b2', '33d9c84df6285c81', '6a8068f17b4d5d50', 'd50d8151d95486fd', '22272b57c7a0c6d9', '52ece28e102eedc4', 'ae113e4479fd15b7', 'd8994dd6bafa0fa8', '4e071b367480ff56', '445575852ced8759', 'ad8b08f786657b96', '284eb50a660a09cc']; context = [[16, 53], [74, 112], [5, 36], [190, 222], [28, 58], [30, 67], [11, 46], [42, 76], [58, 91], [46, 76], [1, 34], [32, 66], [5, 40], [6, 37], [0, 33], [26, 59]]; loss = 0.011982 low_pass_filter = 0.300
+Epoch 0: | | 8049/? [1:23:13<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 8050; scene = ['31ae4a9d76a91174', '192c0569510eb6c8', 'f04736fbba8bf151', 'f3daa7d364f722c1', 'e807409c12d0d8c1', '5a1eeb8bec049de7', '11deb50de71ac927', '58a7d411c1fb25d2', 'd839e2f22436f6de', '237a036ffe6be614', 'ebd5e80138e74301', '5ea4cb2ff1498203', 'ba3f2372b7959e95', '3d88d591a0323964', '6601dce6f338cc1f', 'ac2d9614f41b610d']; context = [[23, 52], [9, 43], [4, 34], [11, 49], [0, 30], [107, 143], [125, 157], [31, 67], [25, 56], [28, 63], [71, 100], [54, 88], [40, 73], [121, 158], [37, 66], [12, 47]]; loss = 0.009727 low_pass_filter = 0.300
+Epoch 0: | | 8059/? [1:23:19<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 8060; scene = ['3b985e0ac53db7b5', '4b62d75032fde42a', '67a6d6dd4fe76aad', '5f90abeec03dbf0b', '2b4f68d46cb26a44', '0cc616dac37caabc', '4c7d379804ee1210', '43a0be8fe210881a', '0496bb7a63a6dfa0', 'c12eb1914cdc0045', '1e6939b3c332ae2d', '7d5581ffcd23ddc0', '6cbddaa6fed4b7fd', 'dad4c7a3ecb07b58', '89a30f540e35e364', 'bcde238614741b94']; context = [[94, 130], [35, 64], [10, 47], [50, 84], [101, 137], [80, 117], [104, 136], [11, 40], [96, 127], [112, 144], [16, 45], [4, 35], [7, 44], [11, 44], [208, 240], [65, 96]]; loss = 0.010471 low_pass_filter = 0.300
+Epoch 0: | | 8069/? [1:23:25<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 8070; scene = ['c9f0b268b1aa5e1a', 'dcd25be274f2d684', '9ad8c7f6b7e9e5e6', 'a34af0c26cb1ee8c', '5506f368be3afbdf', 'e97f1d7c3cabe2d9', '83186b2f2e346572', 'de566e560151f649', '3719de4d5af2ad59', '11ed0fd05908b46d', 'a350884f04cfd279', '0a5d6066cc56914f', '5cc61e57a10f59c0', '807b61d9c72e3a6b', 'c85d9c674f74bf29', 'a719195485c33105']; context = [[1, 32], [36, 69], [30, 67], [122, 157], [53, 82], [4, 39], [9, 39], [26, 56], [21, 54], [196, 227], [31, 69], [9, 45], [67, 100], [122, 153], [21, 50], [59, 94]]; loss = 0.013394 low_pass_filter = 0.300
+Epoch 0: | | 8079/? [1:23:31<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.00train step 8080; scene = ['4fce6c47c4c214d6', '28bb7b161e83ed60', 'aacccbcbc0722240', 'eb61796d301ac994', 'c62b839c1b99274d', '1c697e1b376ee31e', '2e9fd009632a1bf5', 'bd5ba9f0f035e654', 'ef6401c117a2701a', 'b8be0bf2cde5c194', '6047d6adad773c2d', '21d509dc6835618c', '71cc194ab57517b8', '9137204ba76b5bfd', '915b529e489a157e', 'e994872e832abcd6']; context = [[87, 123], [81, 112], [12, 49], [164, 196], [41, 71], [19, 52], [3, 41], [111, 142], [150, 182], [44, 74], [55, 93], [73, 102], [10, 40], [230, 259], [42, 79], [10, 40]]; loss = 0.011183 low_pass_filter = 0.300
+Epoch 0: | | 8089/? [1:23:37<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 8090; scene = ['4a60dd0dba6b7958', '71181bfc241bc4af', 'a5b8210a29efc76f', '67a3083b893c6f43', '15cec88d0617e1b3', '9f2afa78140b05d2', 'e46fc748af02d0cb', 'b65249520ff96b2c', 'fcce672b10166d4a', '9354ff6baa755906', 'b3b2dc251ff3547d', '32886e2643defd5a', '2d99d961724847c0', 'b0574143102f6cbf', '8c4605fbc6b018c1', 'd6846272dbb706aa']; context = [[32, 66], [210, 244], [15, 50], [193, 223], [31, 66], [93, 129], [36, 65], [208, 245], [48, 86], [243, 275], [32, 65], [132, 161], [30, 64], [84, 113], [96, 134], [40, 76]]; loss = 0.010691 low_pass_filter = 0.300
+Epoch 0: | | 8099/? [1:23:43<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.00train step 8100; scene = ['a37aad7a34d52099', 'f4fd1f92b1d1b842', '5be58e4d2ad059d0', '8034b7282e9b4f7c', '6a5376582bae4b9f', 'b57ab022d7aa874c', 'a6c196ca9b934080', 'c3dde969dc900399', 'efdc4b57e1fb7198', '9e633a922e716e6d', 'aa5bbea5a351866d', '05788765838c2adc', '1aa1bc85bad66297', 'f0bda6f91712fd5a', '699bc7dbd0bcdaec', '73b4f3120576ae0d']; context = [[77, 109], [65, 97], [3, 34], [115, 147], [19, 54], [73, 104], [2, 32], [36, 66], [41, 74], [8, 37], [128, 161], [16, 49], [19, 49], [45, 75], [14, 48], [26, 55]]; loss = 0.010997 low_pass_filter = 0.300
+Epoch 0: | | 8109/? [1:23:49<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 8110; scene = ['dd74dfd2c1d13252', 'a43bc11aa6cce69b', 'a28ad2d48bc4933e', 'f0a58c7d4fed3a88', 'd1076443c11000db', 'f605345740d176d0', 'd1a08683d05999ff', 'ea6695c6dc07a131', 'fa2decb2d4a10f6e', '6d0232cfe9cc7adc', '06d2876e8c40a3b6', '85756e711ab92320', 'b8ff56a0adb40c18', '0d2c4ce15a751f72', '46b9b3bb789aac30', '72a14401b43b8331']; context = [[1, 31], [143, 173], [26, 63], [107, 143], [73, 109], [120, 153], [118, 150], [28, 64], [2, 36], [9, 39], [41, 72], [97, 127], [193, 227], [86, 120], [18, 49], [66, 102]]; loss = 0.011561 low_pass_filter = 0.300
+Epoch 0: | | 8119/? [1:23:55<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 8120; scene = ['89c816fbd72e5b66', '96f60368d1159966', 'f5599ba8705ca849', '1c0d5ac17ebd0d80', '82336eca903b6e86', 'a3fbc85b34e4a1b5', '49dcd90538e31311', 'bd6d188f357d1766', '4a051ea24c91e7ef', 'ee93b843399c1cad', '19c3686f5a671538', 'ece60a1ad123cbb6', 'c13915920d8d98f2', '383f67cab19a1fa7', '949cb4aa319f9d4c', 'c1b2fc8f76c768e8']; context = [[98, 136], [119, 151], [17, 52], [4, 35], [35, 73], [45, 79], [90, 127], [91, 124], [3, 38], [26, 59], [69, 106], [158, 188], [21, 52], [170, 204], [111, 147], [55, 90]]; loss = 0.010130 low_pass_filter = 0.300
+Epoch 0: | | 8129/? [1:24:01<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.00train step 8130; scene = ['9e70ce8046bae357', 'b68f711961c5b877', '30d0ff523ab86200', '2ff4665e3133f176', '9a904a30f2c426c2', '34837d89d6d583ae', 'ce3a09ad86ee1755', '168d38dbb9d8d24c', 'e486f71687a461b4', '7bad8634f041892b', '4b16d5b9324bbd89', '34a98314ac2d7605', '0f319cb86270183c', '7a996c790caf8079', 'e62920482501bd3a', '85f6b47ab3b0d821']; context = [[22, 53], [3, 32], [60, 92], [60, 93], [44, 82], [132, 170], [4, 37], [7, 36], [51, 90], [31, 68], [56, 95], [39, 72], [29, 66], [11, 44], [203, 240], [93, 123]]; loss = 0.007832 low_pass_filter = 0.300
+Epoch 0: | | 8139/? [1:24:07<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 8140; scene = ['8fd75bd520e46b44', '40c0d605c4f8c69b', '512cd4ea0fef0198', '437474fa4196e1b7', 'af9d978c9fca5752', '0207b0ec0cc851f6', 'c46e81f142867e29', '1684dbfef3d182a9', '039b1dfb06179920', '08b847b675424659', '0d19a98df7f0d404', '6a10db1b9a53db71', 'da2afd41d40b5366', '90b054efa5dff38f', '79acb6327881e101', 'd7576649d0266727']; context = [[12, 41], [92, 130], [23, 62], [45, 77], [198, 233], [17, 48], [81, 116], [117, 148], [27, 63], [28, 58], [27, 66], [63, 98], [99, 129], [23, 55], [60, 97], [80, 112]]; loss = 0.013180 low_pass_filter = 0.300
+Epoch 0: | | 8149/? [1:24:14<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 8150; scene = ['93138f88c119600b', '638614ed5f3f85f4', '5f764e1ab65cc798', '294257960721b6f0', '14d2a9691dd8b061', '1c1c958dcc2f8449', 'd8d57e3bc65ad562', '720c20829e8facbc', 'b11c5d0cd9af5712', 'bfdad06e0239afbf', 'a00aab471e440a0e', '5264f09e7e3f043d', '9e2fb761ee03b905', '91641f310eabb26c', '691ed2f05b0eb140', '1e9228e6fd3f518f']; context = [[69, 100], [31, 70], [13, 49], [136, 169], [20, 49], [13, 44], [62, 94], [54, 87], [97, 135], [45, 76], [93, 131], [105, 142], [26, 61], [27, 60], [27, 60], [21, 53]]; loss = 0.010488 low_pass_filter = 0.300
+Epoch 0: | | 8159/? [1:24:20<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.00train step 8160; scene = ['7278dcd3b41b79ad', '34c96bdc74c6b6d8', '669607c93c7e99bf', '563ac18d3e49036f', 'a5d85a41a23dabd0', 'a4c54b44e8925978', 'd5d4754a622a8d8c', 'bb245e3f9206f612', '12903cdfe7b52d87', '5df213c50ee1cd88', 'eaecb3583a0e7681', '21d7dc078fd4db7b', '725f481fab8e2580', '386013ba48e47be6', '26e3fd38d25851df', 'd3d18ffce48db33a']; context = [[84, 114], [35, 71], [0, 33], [44, 75], [87, 124], [108, 140], [31, 62], [89, 122], [184, 220], [74, 106], [95, 125], [121, 155], [39, 72], [29, 58], [232, 266], [47, 83]]; loss = 0.011043 low_pass_filter = 0.300
+Epoch 0: | | 8169/? [1:24:26<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.00train step 8170; scene = ['2f3271a81eb248ba', 'f946d94d8adc2178', '68f71fd689a626df', '85024d10f37aa32d', 'd6056e0a258ed340', '6f952353cb855ac6', '73a2b9fea20570a8', '81f3520774d1a1c6', 'bf0451e853e8d2c8', '9316b3c04ae81baf', 'd526d6a1ae6b7aff', '84caf9b231f3bcdc', '715278508e2bb13c', '32aaa090d9131f32', '505f55a2e28cbe6a', '4eb4ba507316bd57']; context = [[91, 120], [201, 232], [143, 181], [10, 40], [9, 46], [17, 56], [4, 41], [5, 35], [187, 223], [49, 81], [33, 71], [61, 94], [58, 96], [39, 71], [37, 75], [167, 204]]; loss = 0.012088 low_pass_filter = 0.300
+Epoch 0: | | 8179/? [1:24:32<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.00train step 8180; scene = ['f70ad20529046f41', 'da0b21470c9520b7', '6a60ef9a8856cf5b', '78f54b16f8204c3a', 'cee46b2523a45a59', '31f279e32e497154', 'ab964b6b003ae5e8', 'd4ce31ac30a139fc', '4af74f4ff7c54a9b', 'b1473420a788c688', '3e5be575ccb0f6dc', 'dc077856d79ff04c', '0f8ad14bb4088d81', '4a43e0185c382de7', '3a192914348dbd61', 'ed2867040fbb2e30']; context = [[6, 36], [28, 64], [12, 42], [51, 84], [85, 124], [237, 276], [5, 34], [5, 37], [196, 229], [14, 48], [58, 97], [55, 90], [99, 135], [65, 97], [54, 83], [73, 110]]; loss = 0.008614 low_pass_filter = 0.300
+Epoch 0: | | 8189/? [1:24:38<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 8190; scene = ['fbae922ad64ca6f1', 'da593472b1bbbb15', '4ac2729ea26878fe', '516b59544d9c9086', 'c90733af6a8fc29a', '41962a5fd8fca53a', 'cebe3be57fb380f1', 'fad5878d1b28ad75', '2a9d2b1f2454b39f', '4e1b2a3897227661', 'cd3a4584964695bc', 'fe9263e6769a380d', 'a474640fa724d913', '367f348575198f6a', '86456b2758a4e51f', '972b76d7f648aafb']; context = [[19, 51], [21, 59], [36, 66], [0, 31], [27, 63], [50, 85], [28, 67], [141, 179], [16, 49], [7, 45], [161, 198], [59, 93], [65, 98], [92, 127], [105, 134], [126, 159]]; loss = 0.009295 low_pass_filter = 0.300
+Epoch 0: | | 8199/? [1:24:44<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 8200; scene = ['b285d6a7c5aea376', 'ac9fb9fd9531fee4', '64d51eaea1b88d09', 'f46b51155952d618', '0b386825ee4147cd', '765564938726223e', 'cb2361e8fa21f3e6', 'bd7b99bedcc90f02', 'aa1426eb9d35b816', 'd3faa50b5e4fbd6e', '9b318860f17dd778', '60d5d520a12a9c50', '5f6ff1f6eeba6fcc', 'fa62d8d7320eba10', 'edfedbf216dffdf3', '889363eed9b13277']; context = [[24, 58], [70, 101], [48, 78], [1, 37], [4, 40], [15, 52], [59, 92], [24, 60], [55, 86], [96, 126], [98, 131], [22, 51], [0, 30], [1, 36], [22, 51], [131, 165]]; loss = 0.012610 low_pass_filter = 0.300
+Epoch 0: | | 8209/? [1:24:50<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 8210; scene = ['174885a022d76f49', 'ede200d8e3ed570b', '167a46f4392398b0', 'a508ec7fbde00d1a', '0936ae04b1b95f1f', '85e226223d1d045b', 'e85b9794f297353a', '032c591bb9c0ab2c', '53fd05a1f24da0b6', '2bbb6e260fff96b7', '4d352f1f3d457919', 'd5aff3e2db5ebab3', 'df80779cfff33170', '3bba0108a8b9f52d', '765456b88d5e4d4a', '75fd40cc39e77301']; context = [[62, 92], [139, 177], [19, 58], [7, 42], [46, 85], [174, 213], [96, 125], [5, 43], [4, 42], [41, 75], [53, 86], [212, 251], [15, 53], [159, 198], [127, 162], [54, 85]]; loss = 0.010019 low_pass_filter = 0.300
+Epoch 0: | | 8219/? [1:24:56<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 8220; scene = ['239055404f75ffd1', '6e269cfbf064b6a5', 'ab1b7103448aee28', '70eb4cad799be058', 'c93de628c1738c30', '4e2914a72cd9a8d6', '3aa0715bf6cf2124', '41b6ede6065f2031', '73fe952b7aa424d0', '8b2bfaf797d1e11c', '6454b8eab0cfbd98', '994520585af6cd0b', '27f37406fe96b739', '5c76d38937c600b1', 'e90142433a6207a4', '09b119527170cd6f']; context = [[36, 67], [114, 148], [16, 50], [0, 31], [0, 29], [74, 113], [7, 36], [184, 216], [187, 219], [102, 133], [18, 49], [152, 185], [45, 77], [208, 241], [39, 68], [150, 186]]; loss = 0.011184 low_pass_filter = 0.300
+Epoch 0: | | 8229/? [1:25:02<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.00train step 8230; scene = ['a2dbfc443c201a0a', 'bcd7ca7e2fd57cc6', 'f12ad81cca298e1f', 'de50a9dcf012713e', '64b7578093d63639', 'd50e7c48f102d70e', 'e4e8abeacac64ee9', '49a315c35c0b6fb2', 'bbec698826707bcd', '0ba78320121c79fa', '4403da850780ce0c', '03bed910061fc9bb', '5523bd67a91e2849', 'b6ec05fb86c10376', '7442edc1ca4f1f8b', '849d398ea13dcd44']; context = [[93, 123], [79, 108], [211, 243], [87, 126], [51, 80], [48, 82], [202, 239], [0, 29], [45, 76], [2, 40], [28, 67], [59, 97], [8, 44], [44, 74], [1, 30], [1, 38]]; loss = 0.009951 low_pass_filter = 0.300
+Epoch 0: | | 8239/? [1:25:08<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 8240; scene = ['ac4bd0b601c3f8d9', '8994bd59d58edd41', '56387afc52492719', '393b76a89a628d99', '6476fd96cf74fd99', '3cf9a02bba6a972e', '70bbd64aade475a7', '3fc61f3ae37ef22e', 'df5e28115594b804', '59e6a4d39aff7400', '03815eea8ca6177d', 'aef0399ef65f8220', '9d3b42e3a01c7939', '60a97b36cd3bb5a8', 'fc7ddeeba1b5ae54', '56dfa6b3aac18a3f']; context = [[19, 52], [22, 61], [6, 41], [0, 34], [71, 107], [120, 153], [57, 91], [28, 60], [10, 48], [102, 131], [84, 116], [51, 80], [1, 31], [89, 123], [33, 68], [1, 39]]; loss = 0.011205 low_pass_filter = 0.300
+Epoch 0: | | 8249/? [1:25:14<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 8250; scene = ['a611f23daa8ebe85', '71cfdc10d5150a3d', '51c99c6fd15b519a', '1f3dae4428a8d9bc', 'c40133dd82bfbd0c', '67aae600f1bb228c', 'fa2ed612e4e4571a', '7c939df191bd83f6', '85ce26499fed5d09', '5b4a74b41fa843d6', '3e0937db6474b95a', 'd0d9bcb46b70df95', '9279e8c39cc97f61', '2687919de74c53e4', 'ae975ae41325f212', 'fb7e590e55d73d74']; context = [[31, 69], [3, 38], [72, 107], [0, 37], [82, 116], [5, 37], [20, 59], [21, 52], [53, 88], [39, 78], [6, 43], [52, 87], [6, 39], [78, 107], [22, 57], [38, 72]]; loss = 0.011804 low_pass_filter = 0.300
+Epoch 0: | | 8259/? [1:25:20<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 8260; scene = ['98aaef4ad2b17e8c', '80ba40b2def2070b', '051e7e9d9f7132e2', 'f8f835eee75cd945', 'd98902137d65fd46', 'ebfefe9f9b0f3e6e', 'e83b6e80a76b058c', 'f3ece616271df705', 'd1508c08633c0362', '875b2c0081eec492', 'c58fade4e0d7d3ef', '74ff55f4ab8a28ed', '67fc55236db23428', 'dbe109d71db070a7', '9de4a1a6942141b5', 'a12ff13668c46504']; context = [[17, 56], [48, 79], [3, 33], [28, 59], [41, 79], [160, 195], [39, 68], [4, 33], [41, 76], [40, 78], [27, 66], [41, 75], [4, 36], [2, 33], [0, 30], [1, 30]]; loss = 0.013725 low_pass_filter = 0.300
+Epoch 0: | | 8269/? [1:25:26<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 8270; scene = ['d358cb839f4c7497', '93b36a54151e085e', '67bd3eefd07e6042', 'e4774e728791dc20', 'a1d5d19d06c605ef', 'b7bd6d27ca23e643', 'bb921538d58b7231', 'e418773dd5f757ed', '710fcd11025c6ce5', 'cd69cde6b6bab65c', 'b0c97926eca1b63b', 'ff3eee34e57cf3e5', '7046980b0d3d3c63', '63c4a6e3f38760e2', 'c02870011a3c5afa', '2f2c4bd219a3c52e']; context = [[28, 65], [71, 109], [21, 50], [13, 49], [63, 102], [93, 123], [37, 71], [17, 47], [10, 43], [55, 86], [13, 50], [30, 61], [34, 71], [29, 61], [131, 167], [25, 56]]; loss = 0.008326 low_pass_filter = 0.300
+Epoch 0: | | 8279/? [1:25:32<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.00train step 8280; scene = ['17a95da0447e96a1', '3cef7244ef6f7a17', '65e77aed6557394c', 'bd988995a964b6f7', '6e95c51264f892f1', '2989152c23e49a7e', '89eeab7d2380f14b', '8b3b0dcb23b418cb', '58854da026faf774', 'e6ddcf41c3e4111a', 'eaa602e659251e06', 'a42225fe8b6d7e11', '6a74a5da896a6a82', 'b3d32ae703d1207b', 'c09fb55ba78f1a14', 'c7227c4814c49b1f']; context = [[42, 71], [68, 100], [3, 33], [63, 92], [35, 64], [24, 62], [15, 54], [15, 53], [59, 89], [68, 99], [68, 99], [5, 44], [0, 30], [27, 61], [8, 42], [123, 161]]; loss = 0.013556 low_pass_filter = 0.300
+Epoch 0: | | 8289/? [1:25:38<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 8290; scene = ['4d412ba977218397', '2f440b6ff635953a', '6b76cc89f4505af8', 'e51df845689c6cb9', '5fd925386deb1ba8', 'f22824c5468fb8c3', '28ab3a87b2f367a5', '92747265b0111abb', '465c5062754e3ca6', 'c93b45709f307e34', 'b52ac8e1e536022e', 'f5a466f01a58dd13', '21498fbe61ca3974', '873ef55396bb770f', 'd69dd8917d2e2142', 'e3d0cca5e61b6b3c']; context = [[196, 227], [73, 111], [11, 41], [1, 36], [140, 171], [117, 153], [69, 107], [171, 209], [1, 30], [98, 135], [57, 88], [39, 75], [50, 85], [0, 35], [25, 61], [16, 54]]; loss = 0.013338 low_pass_filter = 0.300
+Epoch 0: | | 8299/? [1:25:44<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 8300; scene = ['b953e33b08009f7d', 'fb1ea1bcbb11faa9', 'ffb6679f3ee529a8', 'b7b8b9f2fc98e45a', 'a2668a8ba41d7e28', 'ec6e7c0c29cccc86', '35d7cb99de8a808c', '53d9f23f88c4ad21', 'a43dcebff84ddba2', '14c16421c2e6fe49', 'ee3efd092ac5bbff', '229fba45626acb41', 'af252cc74ed0ae4c', '2c44579a8bd9c108', 'adc86f688406a0a7', '95db38a93027169e']; context = [[6, 38], [102, 140], [12, 47], [61, 95], [20, 51], [17, 50], [61, 97], [238, 275], [174, 213], [7, 40], [27, 62], [60, 95], [72, 103], [24, 60], [17, 48], [183, 217]]; loss = 0.008911 low_pass_filter = 0.300
+Epoch 0: | | 8309/? [1:25:50<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 8310; scene = ['e9b471036d4d32ee', '6539a1c57c640f9c', 'f5fd4c9ccb08fa6e', '1c2c01a428e98033', '91b147adad2393bb', 'ef5524c633cc7663', '2dc12db33c77f91e', '98f7a067bbb96008', 'de3ccf8d3c418bef', 'd12ccb9176baca06', '1e2c9a89cbf36161', 'aae2683fc18061b8', 'e942de9a7b77dc44', 'f8d7d5f83350ba50', 'de36333a5c68eb32', '51d68b77c408e914']; context = [[1, 37], [3, 37], [29, 62], [24, 62], [43, 75], [16, 47], [13, 52], [16, 53], [57, 88], [4, 38], [188, 218], [0, 29], [84, 123], [101, 140], [42, 71], [80, 112]]; loss = 0.011630 low_pass_filter = 0.300
+Epoch 0: | | 8319/? [1:25:56<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 8320; scene = ['886400696ccd9e2b', '5368642d202f62aa', '1e42a35775a7a420', 'f65b93b003d07fe4', '19cb93b1a26786d0', '6704cf19be80eaff', '514c58ca3d21cfeb', 'f7335129c21e0105', '208bc933986ed669', '23fb1b0d413e248a', '72d1db88ce59f38d', '5f13eff4b70d0486', '29deaf4adf22997a', '0f0010e7bd8b2bf2', 'dc8be8b9ce825070', '345430fd1625beac']; context = [[7, 39], [126, 155], [29, 59], [63, 98], [41, 73], [9, 39], [229, 265], [87, 123], [64, 96], [97, 133], [13, 46], [19, 58], [110, 146], [95, 127], [29, 63], [0, 36]]; loss = 0.009653 low_pass_filter = 0.300
+Epoch 0: | | 8329/? [1:26:02<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 8330; scene = ['5c30bf2887cf8546', '4b7a85a5ae42aa8a', '40b14e9ca06271a0', '9846c25ea4dc9cd1', 'fc02bddd09583f6f', 'ea1af0f111f0dec9', '377491fa91a751b3', 'f93c32b96db965cd', 'd07e2d916d33a212', '9c500c3d949c224e', '094e95643a9af0f3', 'd9fe6652451a430b', '785aae46f263749c', '81ad54d5ffb317b8', '556394920765324b', 'cef570ab285d57cd']; context = [[22, 55], [18, 54], [216, 249], [63, 99], [69, 99], [19, 49], [8, 47], [61, 98], [175, 204], [17, 48], [40, 75], [32, 64], [17, 52], [60, 97], [50, 80], [104, 140]]; loss = 0.009455 low_pass_filter = 0.300
+Epoch 0: | | 8339/? [1:26:08<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 8340; scene = ['6829cc07eb47cdea', 'b9d4445e5b8179a8', 'fec1b08babd84253', '73133fcc576a07c1', '2e6acc17d9b7c623', '30424882cc105c3f', 'e0cd677c6327d758', 'de279dc70da4eefb', '679f702bf4343e29', 'e338ac884c0b91fc', '669fcd58e1060f18', '4261b27934b455d6', '41e6df4d8033c126', '0856c1946c2ba29f', 'ca87754159d3beaa', 'd3b901b44e7ddb4e']; context = [[114, 148], [55, 88], [67, 96], [13, 52], [31, 62], [22, 51], [219, 252], [8, 41], [15, 44], [3, 38], [59, 92], [3, 34], [2, 32], [149, 185], [6, 45], [4, 41]]; loss = 0.008326 low_pass_filter = 0.300
+Epoch 0: | | 8349/? [1:26:14<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.00train step 8350; scene = ['af82c0de3fc9104a', 'e09c7a12828e1b49', 'dc5f38f005c3ebd6', 'ab8e80684547f15c', '52e49724622a5065', '59ee32c2dccc3dba', 'b210bb589468fb4d', '0ea8fcc06a4a9fcf', '5e89c7650c97cdf1', '08527853c5cf3f4d', '4d90373b73dfd8b4', '09e461e3fb6b0262', '9d11a876559d60e4', 'e61b99c29cdab09d', '86bf7fd206b26853', '1af60de5cf1e7263']; context = [[66, 102], [41, 76], [64, 102], [65, 97], [4, 41], [99, 137], [140, 169], [19, 54], [2, 35], [7, 37], [15, 46], [49, 83], [123, 161], [71, 101], [36, 67], [54, 93]]; loss = 0.009060 low_pass_filter = 0.300
+Epoch 0: | | 8359/? [1:26:20<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 8360; scene = ['9ffccde4a0d78f2e', '9531bbcacc25b355', '4b670fd16f86b860', '5932891d3ec96fc0', '69aa7fb3e30cb2ef', '4528921befeba748', '5a15bfa3cf370b32', '64b30e1b3108384e', '223d9839a448d851', 'c1992bb8b28bcc01', '2b6f17c36d275612', '1a464079ddbe1d59', 'ac922386da39b302', 'cc1515a91bc7b9f6', 'b662f354bb50dc53', 'af393f313dddf3eb']; context = [[72, 111], [65, 94], [67, 102], [14, 44], [90, 127], [135, 166], [20, 50], [191, 222], [85, 118], [37, 70], [26, 59], [26, 61], [74, 103], [118, 157], [22, 58], [48, 85]]; loss = 0.011742 low_pass_filter = 0.300
+Epoch 0: | | 8369/? [1:26:26<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 8370; scene = ['3c3f55a532fe87be', 'af56b0f58fe563a0', '1a328dfc961fb5df', 'bf8aa06772079ba3', '866e1164e81a9d4c', '9f0755d7d6eaed42', 'b7272c56b2582114', '34f4150ce050da75', 'd173fad8e92ec1e5', '4925526b9cdca49e', 'b8636f55127f4eba', '9d2cc67ce64e4e2c', 'e7f0fa81b6ac98e8', '3e96e8462ee68829', '7c20cad7daf39482', '3a4e68ab42275a98']; context = [[64, 99], [41, 70], [11, 44], [54, 85], [87, 124], [107, 146], [7, 43], [26, 64], [11, 46], [31, 60], [3, 32], [16, 52], [45, 78], [109, 143], [15, 46], [6, 39]]; loss = 0.010652 low_pass_filter = 0.300
+Epoch 0: | | 8379/? [1:26:32<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 8380; scene = ['9b7612cf5dd4b8c5', '2f2219164c52bbe0', '87e89709bc88630e', '5285baf2ba809bbf', '7a1781db0d9a2f70', '19b52ddc2c0b41e0', 'e741fa80ebe93837', '7a8d8426e0d1c1aa', '2ec8edfc07c8841f', '3ff8fdd10bb511c5', 'b18b0e59cc8d6d53', '2cb2d8255676e654', '9467c3431e0e586c', 'a2fe0ee3e737c073', 'ddfe9ba63e6d372a', 'bcb68900df3fb3c7']; context = [[37, 74], [3, 40], [30, 63], [43, 80], [92, 129], [1, 39], [19, 52], [41, 79], [23, 56], [6, 44], [56, 94], [22, 52], [100, 136], [12, 51], [74, 107], [14, 46]]; loss = 0.011117 low_pass_filter = 0.300
+Epoch 0: | | 8389/? [1:26:38<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 8390; scene = ['4cdd96efdc7dc8bd', 'c05232f7de8c5b71', '70e3d701fe2e7578', '07488c7551c1a967', '4602deeb27e9b472', 'e0f46f5b13a7737b', '22511038a50ecabb', '7113a6242fa0ecb9', '13f9eb4e79fd4def', 'b32553fa725be102', '3cb9e154ab207d2d', '705cf9f15387a607', '9f000e8e31dffe41', 'e9370c6c28b03fcc', '4c6da61393cd5e31', '40ae3dabcaef1d75']; context = [[43, 79], [11, 49], [235, 272], [56, 85], [12, 48], [162, 194], [57, 93], [32, 63], [104, 136], [13, 48], [108, 139], [46, 80], [27, 56], [0, 39], [35, 71], [36, 68]]; loss = 0.012420 low_pass_filter = 0.300
+Epoch 0: | | 8399/? [1:26:44<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 8400; scene = ['18c7bd9ae067b8a1', '342ec56496675cf1', '8e14947cbe7ba7b0', '9bc27ac0c6a08d7b', 'c114ed6df4bd952c', '3ff7bf5c384d3aa0', '1d650ffedafdcc1c', '49e1bbd1df636c6d', 'c2a67b75f0fb25e4', 'e25f8745858154b9', '2a473f826bb3cff9', '295a8bfe559a2f70', '3d529db8186deddd', '6b65db2a78a7dee4', 'ccac6d545bb86bcb', 'ce8c3847daad5128']; context = [[52, 82], [5, 42], [35, 64], [13, 50], [150, 187], [56, 85], [32, 61], [43, 77], [52, 86], [135, 169], [99, 134], [56, 90], [73, 102], [47, 83], [53, 84], [2, 34]]; loss = 0.010155 low_pass_filter = 0.300
+Epoch 0: | | 8409/? [1:26:50<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 8410; scene = ['e879fd1334ce447b', '55b7b2536c1b065d', '24ed37b61cfc7bda', '80fcb09bc1e09f71', '612162b515851e55', '28f09b5ab9c6c80b', '103050e319898fe8', '8794b542b373e060', 'df60735cc0b10f39', 'af71d7a4edf61c31', '5029f1582f41d2ba', '67c964e4dc73f102', 'df6f66c2da76a830', '361942c99f3909c9', '874c7c7206503fe1', '5620c7c979175826']; context = [[33, 69], [70, 100], [18, 55], [1, 36], [61, 93], [13, 52], [122, 151], [24, 55], [8, 45], [66, 96], [17, 52], [72, 110], [38, 67], [46, 78], [36, 66], [5, 44]]; loss = 0.011212 low_pass_filter = 0.300
+Epoch 0: | | 8419/? [1:26:56<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 8420; scene = ['5f44c9c88b73aa5a', 'a95691c28a8c28a3', '249adc3e479b28b9', 'e19f2bdf424cfcde', '9c2ec37ccb615cf9', '54cfdcc11f17f88a', '2f56fb1ce3c46045', '33ec2bc6fd434fe8', '11bdc79f5f3fe36a', '7da47581ea5a7b74', 'dc88bf46941dca99', '993c6c80f2eb7d43', '53700a49e8dbf513', 'adf73db30b5dc7ff', 'fe85b3be4adb42aa', 'de95779cdbeaa19a']; context = [[44, 73], [171, 210], [16, 55], [25, 62], [31, 62], [14, 49], [236, 270], [35, 66], [15, 54], [5, 37], [62, 93], [20, 55], [68, 98], [121, 158], [1, 30], [102, 137]]; loss = 0.011543 low_pass_filter = 0.300
+Epoch 0: | | 8429/? [1:27:02<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 8430; scene = ['c27226cd8e195456', '019c3a53ef793463', 'e76e794a0880ddc9', 'cc089cd07b364bb2', '078801ae3578e3e4', '5023f8d6088de9ce', '5a04796cace71282', 'af0488663f2fe222', '76d19f39d78b5460', '184b7d143f36c10e', '460e5799fd3f2446', '383eef6f20986610', 'f1f75b1ccbb7cd62', '5044cfc350b5a41e', '3e24795a6fc5d769', '32344ac2edb8421f']; context = [[43, 81], [4, 38], [20, 49], [33, 66], [66, 102], [1, 33], [36, 71], [73, 106], [73, 108], [61, 100], [13, 48], [11, 50], [13, 52], [4, 35], [124, 158], [213, 249]]; loss = 0.011796 low_pass_filter = 0.300
+Epoch 0: | | 8439/? [1:27:08<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 8440; scene = ['4aea074984e32122', '8e3551e8558f93d1', 'a3ccf323d5981df1', 'be22dc5d40ca5c8a', 'c4ff645e87ef2f34', '6a60ef9a8856cf5b', 'd133cdd425701549', 'f03ca1e834ef0916', '0ab90285e36a4be2', '027b06f2adc07dd3', '88c1a8123dd767c8', '67c35b36306c68e2', '3d486ee1ff467dd5', 'b6b16f654a4e6cd0', 'f2062a669b6b96da', 'f844b86541a57a24']; context = [[71, 106], [7, 38], [104, 136], [58, 97], [12, 45], [3, 32], [54, 88], [41, 73], [52, 86], [39, 73], [15, 44], [82, 113], [170, 208], [228, 257], [49, 86], [18, 47]]; loss = 0.012403 low_pass_filter = 0.300
+Epoch 0: | | 8449/? [1:27:14<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.00train step 8450; scene = ['044be76874e9fea9', '82379bb39a4af274', '9bcc2b1ebca560c9', '1ed3d476eb5d27f7', '6f89b004f29034b9', '04d0132f825b45cc', 'd9887cf1bdf5589a', 'cc9379471477aa68', '1f8af6d19b8dfcbc', 'eb6059040fefa2cf', '4e9d22f52c911e0e', '27df0115a09d7a8a', '481b7b29b87bf543', 'd5aeb9145e591071', '388f3f84cae62fff', 'dd16d8d3c1f7cafe']; context = [[60, 97], [168, 203], [48, 87], [12, 48], [98, 132], [2, 41], [213, 243], [0, 33], [147, 182], [3, 34], [62, 99], [23, 56], [4, 43], [57, 93], [105, 140], [183, 213]]; loss = 0.010557 low_pass_filter = 0.300
+Epoch 0: | | 8459/? [1:27:20<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 8460; scene = ['093a1513be64df04', '2a6c45965d00e73a', '36c270e51079b9f3', '1a62c49c1a96a7e4', '81d9a45e3752415c', '726ae1a792f76b49', '7b1ac0cfb99be277', '772542fd431e3a6d', '75c2593da6db5b51', 'd216bacfae811c2c', '70ab71f97fc208f0', 'a90f5bb46b54c08e', 'ef8606ff8897efac', '2b92610ff58808bb', '13ef0c5e67c66509', '28e258b928a85bf2']; context = [[61, 99], [14, 50], [30, 67], [3, 42], [44, 78], [16, 52], [152, 183], [36, 71], [48, 82], [203, 242], [52, 88], [37, 69], [31, 65], [33, 65], [91, 127], [57, 88]]; loss = 0.011899 low_pass_filter = 0.300
+Epoch 0: | | 8469/? [1:27:26<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 8470; scene = ['4347be2b5f4f0f0b', '28657804465f74a1', 'f34b1ae5f4330480', 'f5d4e372b5a8e9ea', '49d431e32d94fdb1', 'cbfea03456b032f5', 'c1c043c97a812132', '6be501e0866e8705', 'a4b92d5021ce2055', '9b7c4f425d7506ea', '655fa59106307162', 'bd19314de6a85643', '080a29d1bcce1ac4', '5c6c520eb4bad86e', '9c0a3d715a63397c', 'dc853fcfc392e661']; context = [[43, 74], [22, 54], [46, 79], [15, 52], [2, 39], [17, 53], [56, 91], [200, 235], [74, 110], [162, 197], [11, 40], [0, 39], [23, 62], [2, 33], [1, 40], [11, 44]]; loss = 0.009306 low_pass_filter = 0.300
+Epoch 0: | | 8479/? [1:27:33<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 8480; scene = ['51aea94c548a4495', '946597adeb926d39', '9ac09885529df79d', 'de783427084a7fc8', '79a763e5b64e4f45', '58e4213c6d697774', 'e3639c957bbed059', '7b88deac3cc4f5c4', '6f23f69c381954e4', '5dc6293c22fc8e52', 'dbe4da0a280fa5c1', 'b0ec78933f7b7320', '1520b2140fdb58a5', '0b3211726fbabaa7', '9a26558db223b906', '2702020b31c28210']; context = [[10, 47], [23, 55], [5, 34], [46, 78], [29, 62], [21, 53], [7, 44], [33, 62], [117, 155], [0, 36], [26, 61], [6, 43], [116, 148], [15, 50], [10, 39], [77, 110]]; loss = 0.010028 low_pass_filter = 0.300
+Epoch 0: | | 8489/? [1:27:39<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.00train step 8490; scene = ['3d91b43e1a09c619', '7f42a24413a95630', 'cd2529997d3ef9fa', '34efaf4f55a91b71', 'd036f6f2ad1e3e8a', 'd9a5d625a7e07b16', '6d254603864653d0', 'c1575fdf39330878', '073b157ef9c22ce8', '2687bc1e51a4e36d', '8ead427494d4082a', 'cc155e5c5b49b6f8', '43b7abf89a494856', 'c9e4480bbfb4e0db', 'a0bb4a665ee9fd46', '3c6f08385f14dcef']; context = [[107, 139], [13, 42], [5, 35], [24, 56], [241, 276], [62, 97], [9, 39], [4, 34], [45, 74], [27, 63], [76, 105], [39, 78], [75, 110], [217, 256], [1, 36], [4, 38]]; loss = 0.009823 low_pass_filter = 0.300
+Epoch 0: | | 8499/? [1:27:45<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 8500; scene = ['d85fc004f78d82fa', 'd8b09b24377b1425', '20a7799abd66e4b6', '0e9a747769b52c1d', '6df10a21f6199b47', '191c72150925a58d', 'e0918abe230077db', '9e544dabc36a0ab8', '9dc9f592967c0765', 'e7344d391585afd6', '431adcc96d3e7f9b', 'd7b8aa8b102928ff', '09d8152f20999cdf', '9c016698821f4400', 'f7de70fa3e0888e4', '14cb1caa8f185f3c']; context = [[3, 32], [88, 118], [6, 43], [79, 115], [186, 225], [149, 180], [50, 85], [68, 100], [16, 45], [25, 62], [62, 92], [57, 94], [13, 48], [16, 46], [1, 31], [19, 49]]; loss = 0.009825 low_pass_filter = 0.300
+Epoch 0: | | 8509/? [1:27:51<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 8510; scene = ['63702aea7be831a2', '5882b67722118f17', 'bc51d02a05fce838', 'e52bb29b8c03f39e', '7e39fdb0eefece03', '687b773cc20cf2ee', '3bdf8df6c39efd67', '2369b06fbf07fe26', '9c41777f108288ed', '67642ba9afa1b1cf', '40aa327f7c331a8e', '8a6f058ea1b60e96', '94dd8d7a35b6c349', '5994a80afa6ef0fe', '5cf8295fdd4dc705', '1af662fed8048551']; context = [[41, 73], [56, 89], [27, 61], [26, 60], [46, 81], [55, 86], [59, 93], [3, 32], [94, 124], [46, 76], [33, 70], [92, 125], [36, 75], [50, 80], [14, 53], [110, 146]]; loss = 0.012108 low_pass_filter = 0.300
+Epoch 0: | | 8519/? [1:27:57<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.00train step 8520; scene = ['e9a63888908fd0b0', '3357bebb6fa1b56b', 'e6d2e92f0f973aa2', 'cc41c29a1db57601', '2bf6e42939188e55', '704fec051b7efd3b', 'd82e16508ecb77ca', '1b8238f8057a7975', 'f3aa0ec643511c42', 'da26227aa947976d', '8303b179d7df86cf', '6995e4ffc88abd8f', '5939edbca11302e8', '99cbd88e83b13402', '1572c4a6a6b91f35', '935f4b6c00b58135']; context = [[42, 76], [71, 102], [3, 39], [32, 62], [23, 58], [48, 84], [138, 168], [67, 96], [0, 32], [12, 50], [36, 71], [189, 224], [4, 36], [29, 61], [17, 54], [27, 63]]; loss = 0.010510 low_pass_filter = 0.300
+Epoch 0: | | 8529/? [1:28:03<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 8530; scene = ['f11dbe2f4715374a', '179df99f00f05473', '71957e818c5447d3', '3e4cf3c544701784', '87b0132f747a2e25', 'c9c5b6a222e95638', 'd2fc8bb1e626f266', '13efef8e53154b7e', '5f599b35b87b30ab', '3dcc869dac9f202f', '843fe83814b8012d', 'e952c4a90e3e9b1a', 'd6625cb538e7f064', 'e39c2ef3bbecc385', 'f3663bd0444d3f5e', 'ff68f1639ba712aa']; context = [[4, 43], [2, 36], [196, 234], [9, 44], [1, 31], [32, 67], [15, 53], [30, 64], [31, 70], [24, 58], [146, 177], [54, 91], [17, 55], [27, 66], [14, 48], [230, 263]]; loss = 0.011152 low_pass_filter = 0.300
+Epoch 0: | | 8539/? [1:28:09<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.00train step 8540; scene = ['701c95afe128e0d0', '997656bdb430ad43', 'fda481eb3ffc890e', '4c952c27612a3ac7', '521aa01f117a1f3d', 'a24b9835a33fb46e', '009e573e59c8c393', '4986da6c3f01c2bb', 'b6f9cfe435a0fde7', '892585c2be9f3f74', '25c60ef8ca347ede', '57a8005cadd17369', '33733a6eb9850264', '8bf7fd2a9cdd4b00', 'e3ab34faf834f40f', 'aa8b1fef3bd5f143']; context = [[43, 80], [27, 64], [58, 97], [17, 50], [61, 97], [76, 106], [17, 55], [23, 62], [20, 57], [82, 116], [36, 67], [109, 141], [40, 76], [192, 225], [11, 50], [5, 39]]; loss = 0.015471 low_pass_filter = 0.300
+Epoch 0: | | 8549/? [1:28:15<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.00train step 8550; scene = ['1f76a27914c5ceb5', 'e33eccad78073ab2', '8a405f69466ad025', '5f25ec2442e46bad', '4bda601d846a36ae', 'c72ac889a80127fb', '9fcc33efe22e628d', '5eb8ab1a5606bfaa', '346eeacde06e985d', '8edd698ce5488c71', '503fc5f0776ca765', 'eaf0ed1633d82698', '209cac34fadd4599', '6d810108226870b2', 'd25c3b30b8fbece8', 'd9d0ec7991343291']; context = [[13, 43], [53, 86], [31, 65], [179, 213], [6, 40], [0, 32], [153, 191], [5, 36], [18, 50], [68, 106], [13, 46], [52, 86], [64, 93], [52, 82], [72, 105], [14, 48]]; loss = 0.011322 low_pass_filter = 0.300
+Epoch 0: | | 8559/? [1:28:21<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.00train step 8560; scene = ['1bfa2ca0d1b8f922', 'fe1e39063abd5205', 'cabfbc465785b68f', '0374efa8281afb1d', '389aa4307dffc08e', '122b005562bd0201', '3a6669692b24830f', '44e74bca2b98db51', 'b9ee83bd3edf87c1', '97b70b6070a49659', 'b7c55a4c45537ffc', 'e9244576811181ef', '02c7e033bd44069c', '8aaacc30c07b6f3c', '157b1fc090e06cb2', '575bb0dab86f4997']; context = [[26, 59], [38, 74], [25, 61], [69, 106], [27, 64], [96, 128], [46, 78], [104, 136], [26, 63], [42, 72], [36, 71], [116, 151], [52, 90], [5, 36], [55, 90], [81, 110]]; loss = 0.010695 low_pass_filter = 0.300
+Epoch 0: | | 8569/? [1:28:27<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.00train step 8570; scene = ['8d18068943ed83fe', '53205553570d4022', '6072dafd0842b0d6', '13ac6d45d3fbe4c6', 'd5edbc5ddd413c28', '885b71ed4b30120e', 'fc9773ef0faebe3a', 'ffa777f96b50f0be', 'b0514dc5e920349d', '84f2ac1701f3f5d8', '0c30cc66e004912a', 'fc15fd0a7d1bd1b2', 'fb56af60d6f44825', 'bf9a4b1f7627c273', '4b6452c634b79f57', '41868518745c4b75']; context = [[1, 33], [37, 73], [145, 177], [5, 44], [8, 39], [25, 61], [3, 34], [36, 66], [49, 83], [0, 31], [22, 58], [46, 78], [51, 83], [0, 37], [12, 44], [10, 40]]; loss = 0.014468 low_pass_filter = 0.300
+Epoch 0: | | 8579/? [1:28:33<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 8580; scene = ['2cd12500e4a796bf', 'dea99f78e85d0c68', '3b1f961282084e9a', 'f1f2e1670095235f', 'eb995245e27d4501', '7766ed41dc09a8bc', '25896ac236016963', '1dc75a3b92202382', '3e4cc481bf540f72', '827d4df83d6c97d9', 'ae1c6669eff757fe', '6347dab2e71b8e3d', 'b0e45d1fd8db5ba7', 'e0106272b4009cfc', 'c818ac62ef056771', 'dd4fa5f6bab88faa']; context = [[16, 52], [7, 37], [0, 33], [73, 104], [29, 61], [3, 37], [154, 191], [47, 77], [121, 156], [58, 96], [70, 102], [75, 108], [20, 54], [60, 96], [8, 46], [12, 49]]; loss = 0.008965 low_pass_filter = 0.300
+Epoch 0: | | 8589/? [1:28:39<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 8590; scene = ['b435124e91d094fe', '78e2ec35addd48ee', '0fe7bb34bc1ce614', '9cbbbe528c9bc4cc', '8ff4d18f3c87a4cd', '1afb4bb3fb1defc6', '0672e7f9286387ce', '2a6a97f480e33a22', '349a04a39ce0fcbe', 'e6ff9a7042671971', 'e667c12e5d57eadf', 'b6c073fe5209ad3d', 'f94107ff62ee28f1', '0ab41923a82fbefc', 'f2feba8931477baa', 'd2b1e757b2e26c24']; context = [[134, 170], [4, 34], [32, 62], [4, 38], [66, 99], [149, 185], [24, 60], [67, 104], [29, 60], [4, 38], [170, 203], [46, 77], [76, 105], [204, 234], [6, 41], [101, 138]]; loss = 0.010318 low_pass_filter = 0.300
+Epoch 0: | | 8599/? [1:28:45<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.00train step 8600; scene = ['6f33727dde219eeb', 'a401eb9a7a7f6cf8', '3050eeed73b3f05e', '4227c1d0a1dd9baa', 'aa0ff918b038d91e', '6892b104de38e4be', '88fa6b179e0e636d', '7d766acd76fa33cd', 'db16e3664e35a69f', '797770d8e1ede818', '639a0ec83f9265e8', '3a6c31f22c6d901f', '471aaf02cb038426', 'f90b88c676fc3cf7', '38dc2a81c81dd0b4', '0eaf6e29821866d1']; context = [[74, 105], [219, 248], [127, 165], [19, 54], [59, 91], [13, 43], [17, 48], [0, 30], [31, 60], [200, 239], [136, 172], [8, 38], [199, 230], [190, 226], [5, 39], [75, 107]]; loss = 0.009295 low_pass_filter = 0.300
+Epoch 0: | | 8609/? [1:28:51<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 8610; scene = ['1a1ec38c2a2470d7', '66c1b0d5b4cc4414', '20df3685d7dc078d', '3c0075229388998e', 'f2062a669b6b96da', '34ad016433539901', 'f844b86541a57a24', 'b6b16f654a4e6cd0', '027b06f2adc07dd3', 'cf405ec77c7eba05', '67c35b36306c68e2', '0ab90285e36a4be2', 'f03ca1e834ef0916', '6e65147c92d59d3c', '88c1a8123dd767c8', '3d486ee1ff467dd5']; context = [[0, 37], [26, 57], [24, 55], [14, 47], [75, 114], [5, 43], [18, 51], [208, 246], [12, 47], [14, 44], [76, 115], [70, 104], [15, 45], [103, 142], [56, 86], [116, 151]]; loss = 0.012735 low_pass_filter = 0.300
+Epoch 0: | | 8619/? [1:28:57<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 8620; scene = ['a53b3507bd229a7d', 'ac5a9a8b66d7c17b', '5919c331ff928c43', '22824fe5bc5f6238', '4363c1bb298aebea', 'c23e6554589887b7', '0aec565990f1c9e2', 'bcab9ccd8d577457', '4fb7f3479bf5f793', '99fe17374703a753', 'cae40361e606dce5', '71db40fac95086cb', '21f3bdc243b3f6d9', '7a7df9c63b3e71b6', 'a76c6ce5d65d203e', 'f5f68ef105502df8']; context = [[170, 206], [42, 75], [157, 188], [2, 35], [7, 40], [42, 81], [62, 91], [64, 96], [13, 46], [31, 68], [1, 32], [110, 139], [101, 138], [16, 49], [16, 49], [15, 54]]; loss = 0.009073 low_pass_filter = 0.300
+Epoch 0: | | 8629/? [1:29:03<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 8630; scene = ['c90a1b6872dec9f3', '3f96f1eace6d5d75', '509f8d933a7dbc98', '150f77d98473b3b7', '9abcabcd4c37b86a', 'b42aaf913bedf1fd', '00336b9590b313a2', 'ac22b394a79b025d', 'cbc1b9bd150cf5f1', 'f810fc606d199534', '9d1d43c1047d4f6e', '00ac578dde876be6', 'b9e87ecdba870446', '85b1acd514a44ea8', 'a9d91c876a707788', '6d400ac7052f9aa8']; context = [[14, 45], [6, 36], [6, 37], [199, 234], [43, 75], [67, 98], [0, 38], [28, 64], [197, 227], [16, 53], [42, 72], [3, 40], [87, 126], [59, 92], [121, 153], [42, 80]]; loss = 0.012919 low_pass_filter = 0.300
+Epoch 0: | | 8639/? [1:29:09<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 8640; scene = ['5418ed938b5a82e9', '912297ab9a98abc6', '399bc252b234af29', '83fde523c371f3e7', '464d57ea5f1229b1', 'f1ef33d26a5b1bf2', '1c55c064cf34ad0c', '9e13cbf563b9747d', 'c8d0caf183758d98', '0db328ffc64402f3', 'c04b6ad2b52356b7', 'd02f4746a46976f3', '1caedcb062e1b3de', '8ac078c9df050ea5', '245d4e20614cb157', 'a2d81b85eb5661d5']; context = [[112, 146], [172, 205], [3, 39], [118, 155], [159, 189], [38, 74], [223, 253], [35, 74], [44, 75], [43, 74], [115, 153], [25, 60], [108, 137], [49, 81], [43, 82], [167, 206]]; loss = 0.011120 low_pass_filter = 0.300
+Epoch 0: | | 8649/? [1:29:15<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 8650; scene = ['89a157ea50b44d8e', 'f9540970fc8a58cd', '770814423651553f', 'e512661bf75c3a7c', '0f714589074ad057', '658a1b41b954b052', '3f6f6c90783da13f', '85d1ef80ae3409dc', '830ae97d2cd7c39f', '60f8dae5645cd128', '0745d537fc1aec73', '42e8ce77eb573d3b', 'ead979aa76eaa492', '96f6c82c9c693df4', '4787f5b4b5402ca8', '3c136b7d09306029']; context = [[17, 49], [59, 98], [2, 31], [10, 42], [40, 78], [22, 57], [95, 133], [10, 39], [9, 39], [138, 171], [218, 248], [7, 46], [31, 63], [183, 219], [25, 63], [24, 62]]; loss = 0.010721 low_pass_filter = 0.300
+Epoch 0: | | 8659/? [1:29:21<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.00train step 8660; scene = ['ec69ce38f103630c', '3e9346b65dc684e4', 'fa46d2e31ca6700f', 'e60e765e62130960', '14472523a0c46403', '6a754bfbd0e02830', 'c43bdb6be580b5e1', '83ac3cb620e43578', '1665c14b021957de', 'e6b2fca9be1ab62b', 'a525d5304ac3a76c', '84110461b6f03a0b', '30645c659efe1a08', '8da4bcb68f4b2ad2', '6644381edb8a743d', '76810a4a9a8a5881']; context = [[169, 207], [46, 85], [4, 35], [179, 209], [21, 57], [40, 79], [1, 30], [33, 64], [25, 56], [195, 224], [5, 39], [32, 62], [116, 154], [19, 58], [2, 33], [132, 165]]; loss = 0.016616 low_pass_filter = 0.300
+Epoch 0: | | 8669/? [1:29:27<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 8670; scene = ['de20b01be1d8c09d', '3082878a65ef500f', 'a068b86d9b5390ef', '6b8ac78e56a79da5', 'd29169f4575b466e', 'b54a253c34d3abc5', '62db9521c2a4c2ce', 'd910d05a6cd0ffe8', '0827c649036d47c7', '63a408decbee5e99', 'd6ff01965ec8e64a', '25f03bd9c39ab064', 'cf8c3e84083060ba', '3ac6879302091914', 'a589cacd1404a0c5', '30c166d197c85de0']; context = [[131, 170], [57, 86], [18, 48], [30, 66], [67, 106], [145, 175], [23, 52], [8, 38], [39, 70], [1, 38], [23, 52], [5, 44], [48, 80], [45, 76], [31, 70], [66, 102]]; loss = 0.010617 low_pass_filter = 0.300
+Epoch 0: | | 8679/? [1:29:33<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 8680; scene = ['e5bcfa848ca1fda0', '9454461f4e900bfe', '27e447609b6ec782', '9a7f356671cee839', 'a7bb034467f46e0d', '0b6a05518f22f588', 'efc96d858a68abbf', 'dfb061f20fc8514d', '86da0e7550ff32c6', 'db13d1588c858834', '02dafd1cf4db424e', '6d8c6343604259cd', '3a49bc049a5c4276', 'fd95244898bfe200', '3c46548518abef75', '263da5a61282f21e']; context = [[17, 55], [33, 70], [22, 56], [56, 92], [86, 121], [70, 101], [7, 46], [81, 117], [9, 44], [31, 61], [58, 89], [16, 54], [45, 74], [35, 74], [32, 61], [153, 183]]; loss = 0.013483 low_pass_filter = 0.300
+Epoch 0: | | 8689/? [1:29:39<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.00train step 8690; scene = ['aad75ba6e6c3304d', 'b4a17389d685d5bc', '0446f3522cce8104', '03f414ba778a0d1f', '28c643e2cd91f465', '245351b1b14b6bb9', '8467aaa6db783cbc', 'c86ef1cef33cd896', '587a0c714dc7d673', '731df591d77c04b2', 'fe989e36a3ecd67f', '6974a9dd2e36b330', '3b043fdb69d4cf82', '19348886c10f5918', 'eda4cb0549dfa429', '4874c99d597805e0']; context = [[6, 46], [0, 29], [2, 39], [33, 65], [23, 55], [51, 84], [24, 60], [37, 74], [211, 250], [17, 46], [16, 51], [19, 53], [56, 86], [39, 77], [40, 72], [73, 105]]; loss = 0.010458 low_pass_filter = 0.300
+Epoch 0: | | 8699/? [1:29:45<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 8700; scene = ['ac73c593c5fadbb2', '8163796864b51991', '9da23c6a66bf2a7f', '0cd01fdb58679bb9', 'e63575e2657489fd', '46ec28923c735944', 'c2ad8a9ba52a66e4', '1c5700ef1f66c707', '582b42ffa44c4437', 'c23aaa7965325e09', '24ce6ffabc07ab12', 'eae116e50dca5b4b', 'c3f6971df97e2897', '866aba7c3f56d29e', '134574e751b134d6', 'b163163dd0e2f7e2']; context = [[229, 269], [121, 150], [25, 61], [17, 48], [29, 65], [11, 44], [50, 90], [9, 47], [90, 121], [164, 197], [16, 50], [19, 49], [17, 55], [51, 82], [0, 29], [0, 32]]; loss = 0.012104 low_pass_filter = 0.300
+Epoch 0: | | 8709/? [1:29:51<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 8710; scene = ['bf284021a189d59c', 'f7789bcbce7f114c', 'c9c4e5c44f169334', '106158687398cbae', '2f89f8bf5ccb7b5f', 'bc5a6fe47d65b9bc', '36bc8f17c259c97c', 'cf33fd6114fc1873', '6980cb470e01162a', 'ece2c8a087bb867c', 'af106b3ab985191c', '0a5f16215d1479ff', '83f01c4310f19278', '35ce3025267c7ba7', 'e852d57c6de796cc', 'd585e74d7e2b840f']; context = [[52, 84], [64, 95], [2, 39], [228, 268], [39, 70], [52, 89], [203, 237], [17, 54], [25, 59], [0, 35], [7, 41], [28, 58], [32, 69], [162, 197], [133, 168], [2, 31]]; loss = 0.012212 low_pass_filter = 0.300
+Epoch 0: | | 8719/? [1:29:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 8720; scene = ['e209ce84271a5f43', '9cf8e1b5c06a9275', '9b7873876f84ad81', '6f20563d957bd129', '92b06be9f462e68e', 'c6aa24612a23dba2', '45aa7021f1864ed8', 'a797e66eee67e4d4', '1fc78c3676411b0e', '9b93f3f8028382b6', '1fa3fcadeddb75cf', 'b5de5071d7ea455f', 'efe92f77ccb0db4e', '1565693bd0ba197d', '3cbf6ed1fc2b49d9', 'd34adbecbd9fc68e']; context = [[44, 83], [20, 59], [45, 81], [129, 160], [104, 138], [7, 43], [15, 52], [0, 32], [15, 49], [149, 189], [120, 151], [114, 147], [45, 80], [144, 184], [31, 63], [1, 39]]; loss = 0.011549 low_pass_filter = 0.300
+Epoch 0: | | 8729/? [1:30:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 8730; scene = ['96e60aa2260cee08', '38834e0675604b7b', '5b9d84d47b1ea410', 'bf6673b014c4b426', 'c842ce5440a03704', '75a8c9852f5cae9b', '3d4ae910ff347e3e', 'eca311ee088fb239', '4835854d2ff182c1', '88c54de076322499', 'c60161d70d4a37c0', '06a23a1a71a59f23', '35c139cb56dae1ca', '3e4627cb115160eb', 'e259ed73b7ee9dd1', 'ae8e0b5d1d5bfc78']; context = [[151, 191], [21, 52], [191, 225], [28, 68], [174, 214], [90, 121], [6, 41], [40, 79], [32, 61], [17, 49], [100, 134], [22, 52], [14, 46], [153, 192], [70, 102], [233, 271]]; loss = 0.009986 low_pass_filter = 0.300
+Epoch 0: | | 8739/? [1:30:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 8740; scene = ['687b773cc20cf2ee', '40aa327f7c331a8e', 'bc51d02a05fce838', '3bdf8df6c39efd67', '5cf8295fdd4dc705', '7e39fdb0eefece03', '9c41777f108288ed', '8a6f058ea1b60e96', '2369b06fbf07fe26', 'e52bb29b8c03f39e', '5994a80afa6ef0fe', 'a3c6d1f4685486a9', 'ce881544bc55711f', '20d4bd35ee6806f1', 'b995224813db4b0e', 'c74adb4381e65e99']; context = [[31, 71], [19, 49], [106, 139], [46, 80], [2, 36], [43, 78], [237, 267], [106, 138], [110, 144], [24, 53], [21, 52], [168, 203], [52, 86], [5, 41], [4, 40], [45, 76]]; loss = 0.011396 low_pass_filter = 0.300
+Epoch 0: | | 8749/? [1:30:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.00train step 8750; scene = ['822b7deb499e6842', '28163540270fe391', '510c8fcaedbea78a', '574809a522894fd6', 'e8fd41962a23f7be', '1eb41a7aa81df97b', '87e1164e050e9686', 'cf51bd344a6f26b8', 'cb70e16375e98f07', '1f5526e57d685a4d', '6ef72c0400a5294b', '47d6678d29b5b7f1', 'd7186fea6aed423f', '05fe244887357c8a', '54ae91584d0c5aa6', '5b736edcd056b70e']; context = [[0, 40], [22, 52], [11, 50], [0, 34], [30, 63], [163, 197], [53, 92], [62, 93], [47, 81], [233, 263], [40, 75], [3, 38], [116, 148], [22, 56], [17, 51], [29, 67]]; loss = 0.010021 low_pass_filter = 0.300
+Epoch 0: | | 8759/? [1:30:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 8760; scene = ['01e729b5c5b13683', 'f0cf2700a57c1a8f', 'c9b99089d58b0e8f', '4d2d4cac492dbf1d', '9f2cd7c89b5ef760', '2918f97ea81e5bdb', '5335d77c5e1679e6', 'eafaece895002605', 'd051d5f10665fa3f', 'f25476d0a263070e', 'bb72da9d1e6ccae5', '7c69cd73707b1460', '5ec3a6e7baf76b0e', 'f4cf8947756befa9', 'b853f60b6a4e99b5', 'b922d969de34dccd']; context = [[14, 48], [91, 122], [1, 33], [50, 81], [43, 82], [4, 42], [37, 67], [31, 68], [19, 57], [47, 80], [27, 63], [6, 40], [12, 47], [7, 45], [25, 59], [1, 30]]; loss = 0.014283 low_pass_filter = 0.300
+Epoch 0: | | 8769/? [1:30:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 8770; scene = ['0f57d75b30d65539', '26c72ee0b0e70272', '92085b73d95d15f2', 'df6fb10595c0c3ef', '06dd2b11f2fee659', '889745e162331266', 'e19f322390d2dd64', 'f7066db19ea7dde5', 'df7f09e925d52823', 'bf3af518a9d57ab2', 'debfcd0facc08e74', '312e16d4b4b9e990', '0c99f06e8b5bc9fe', 'd8b6c6f00773941c', '373c334353542c1e', '485cf8f38eeb3c39']; context = [[225, 263], [9, 46], [3, 43], [106, 146], [63, 92], [14, 49], [13, 48], [51, 85], [9, 41], [161, 195], [2, 40], [12, 43], [37, 71], [2, 42], [55, 94], [45, 83]]; loss = 0.009288 low_pass_filter = 0.300
+Epoch 0: | | 8779/? [1:30:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 8780; scene = ['9ebc32522a5d6bfe', '88b54484f742e069', '1683c797f3feac29', 'c34efa1505a0cfaa', '9b26bb403d1d515e', 'fa3d7ea00b62e8da', '4fb40dc3a4716a0a', '666e4a9aba27bb64', '1181acbb2ab18e64', '47a1772c9348c0be', 'de04b38c9180ede5', '1687dc0329ad6782', 'fd35ac8f908ba3b8', '7f86d15251f6e07b', '8a7dbd468447b0f4', 'c409b76613c0fb46']; context = [[94, 132], [34, 74], [53, 86], [53, 88], [37, 70], [79, 114], [126, 158], [17, 50], [136, 173], [102, 135], [12, 52], [33, 66], [15, 53], [74, 103], [55, 88], [10, 46]]; loss = 0.008757 low_pass_filter = 0.300
+Epoch 0: | | 8789/? [1:30:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.00train step 8790; scene = ['5eddfc08b9bd5a98', '4afdafcb2848a932', 'a8d975df36c1b227', '900605e07c16caa2', '717f5c3a911c7a06', 'd2848b9d753e1b0c', '6cd96be7c3090c46', '65511bfd833a3a0d', 'ece124223b858624', '428af7a35d38dfdb', '83ecdb9bcebfa8cb', '4bef29cc7955bb9a', '66e03e0c45197a24', '13a12740c5d84057', '1134a76f064459d4', '4a9619f6264f92ab']; context = [[12, 47], [5, 44], [129, 169], [0, 30], [26, 64], [104, 141], [40, 71], [15, 45], [60, 90], [45, 76], [60, 96], [11, 42], [30, 62], [17, 48], [30, 59], [32, 65]]; loss = 0.010768 low_pass_filter = 0.300
+Epoch 0: | | 8799/? [1:30:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 8800; scene = ['1e1c3419d6dc3fbf', '2d6eef8d818491ea', 'fcf7edbd43225708', '9c161cd97fddf519', 'a37fb40adf2531e8', '9d648727c2f20c2d', '354f56e1fbe2b3db', '79c3bcdfe5f242ea', '84463d4b276a6a65', '31a0c9b48652eb6b', '4674c9925539aad9', 'cf53b8a78207a9c2', '09d8152f20999cdf', '1f61a254477e0f4c', 'd7b8aa8b102928ff', '889369335eec0c78']; context = [[99, 129], [41, 79], [49, 81], [110, 141], [49, 83], [14, 53], [23, 57], [213, 247], [19, 52], [67, 107], [37, 73], [9, 40], [0, 32], [18, 50], [86, 123], [1, 36]]; loss = 0.011902 low_pass_filter = 0.300
+Epoch 0: | | 8809/? [1:30:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 8810; scene = ['8600a4bba7c48c1c', '361d0a4a60f51aac', '024302734be23cfb', 'c12633050e140298', 'ea37b6fc56351c10', 'bafbf82a368e225d', '016d100b1e6854d0', 'e0f1d79ec792ef8e', 'de82638349240cde', '4e57a0834333ff58', 'bc085f262a9ccbcf', 'f02ef226ccad6345', '092042696fbf333a', 'a0f63c5a3c3e0da1', 'dd0dccd5864b0e61', '52de141f8de99555']; context = [[65, 102], [79, 114], [120, 160], [220, 251], [1, 39], [16, 47], [5, 37], [69, 100], [16, 49], [5, 37], [184, 221], [6, 42], [169, 199], [78, 109], [225, 262], [47, 80]]; loss = 0.012888 low_pass_filter = 0.300
+Epoch 0: | | 8819/? [1:30:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 8820; scene = ['d2285a9175494e8a', '7e12b2b9d3173b0a', '55c35d1bf04795f3', 'd6c9e919641c1d3f', '1f5c02c6a447177a', 'e2151e6bf7f90731', '7922209e3015f2be', '328f4a1bb0f7419b', '1d0de977f6c454e5', '611773875fdb8681', '8730a68b24c3678a', 'c2ca510a4a1617f2', 'ace26d090e35b8a2', '0ba56b76de23eac4', 'ca32984655a98eba', '24668195926b0c91']; context = [[47, 84], [15, 50], [16, 53], [78, 107], [117, 148], [28, 68], [32, 64], [47, 80], [34, 69], [9, 48], [69, 108], [179, 210], [38, 77], [8, 48], [34, 68], [27, 58]]; loss = 0.009659 low_pass_filter = 0.300
+Epoch 0: | | 8829/? [1:31:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 8830; scene = ['e0f69cd2e7872e24', '0265f4ef1936cd41', 'c5a9ebcbe1f673b3', 'b0c566c80e48a639', '7effba62dee38d6e', '38c98ac3504f0495', '05f40d087109422a', '4aabcd4c5ff2ad5b', '6ae12d32b5ba6faa', '5a56b4c24535945f', '399f82e1d5fe9d0b', 'cc200a8068fda759', '15e03aa7fa32ad9a', 'b5d2093fdb76e3ad', 'be90dc239f33af9f', '8c6c789f025a5e42']; context = [[70, 101], [18, 52], [46, 82], [162, 200], [13, 51], [63, 100], [28, 61], [17, 47], [10, 46], [32, 67], [34, 63], [2, 36], [213, 245], [26, 61], [1, 39], [2, 34]]; loss = 0.011581 low_pass_filter = 0.300
+Epoch 0: | | 8839/? [1:31:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 8840; scene = ['701bbabf79a42624', 'd0432ed7f1d068ff', '39f89831b997bcef', '9ab6f5a4a25d8e1e', '67f8815d24b5195c', '8e7d92a20feeecc3', 'a4eeae8de8e2e98e', 'e1843bdb769c16fc', '49f2a6f344b193ec', 'c9077b5a9e2919c9', 'a190cb946726d886', '03a91501aac2c6cd', '485b767178f8d931', '1ec05b1217b8faed', '6a1ea67384a032e0', 'b6bddb14c9ed230b']; context = [[81, 120], [81, 119], [14, 46], [1, 37], [57, 95], [8, 40], [17, 57], [93, 128], [25, 54], [17, 54], [95, 131], [46, 78], [46, 86], [97, 137], [69, 104], [53, 83]]; loss = 0.010454 low_pass_filter = 0.300
+Epoch 0: | | 8849/? [1:31:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.00train step 8850; scene = ['250ce6661ff5bd65', 'c5eaa467308b1476', '740b481703e8db51', 'a6f5787a365c07d5', '6f38fa8aa6d25d00', '2d36b3d23a8886a3', '8c129dd203d9ed51', '2f7906c9a4e07a68', '865ef47cd6498a79', '99a80f2af2d5f9ad', 'add9729865e170a8', '44aef7cb631de76b', 'd8d7802489b38457', '6348d919467f3d69', '49c88c5873b09f4a', '35a7c7d799ec4dd6']; context = [[31, 62], [4, 44], [28, 58], [56, 90], [36, 75], [101, 131], [44, 78], [18, 49], [26, 65], [32, 70], [30, 59], [77, 113], [30, 66], [13, 49], [81, 116], [39, 70]]; loss = 0.010653 low_pass_filter = 0.300
+Epoch 0: | | 8859/? [1:31:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 8860; scene = ['7f1444750fc50ba8', '6d93e8f7923b4d70', '5acc2cb4c8cc2220', 'eeb0131c26691b17', 'e3547f5d45666645', 'd9205348ae400514', 'f695b9fd884f9c3d', '5c6ef4865ed51116', 'f728a149ea2dcc32', '82bb912dd8628b3a', 'd51efc546a523318', '3da2fff83c3e955c', 'c9755380f559fa04', '561055f011b8ec52', 'aad6209cb374086b', 'da85e1680f6d70e4']; context = [[240, 274], [88, 123], [90, 128], [7, 46], [134, 169], [30, 69], [9, 39], [33, 67], [47, 86], [98, 129], [26, 60], [62, 99], [43, 78], [62, 97], [174, 204], [33, 73]]; loss = 0.011164 low_pass_filter = 0.300
+Epoch 0: | | 8869/? [1:31:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 8870; scene = ['e1753eddd0e7966b', '9c37763c5138d4a0', 'c38ba3bd81257841', 'fcbfeb18c3cd15d4', '08181ef1861a03a7', 'a864c0d0ec25cb6e', '62eeeb4ecfb9d1cc', '982a10bb680bae27', 'd68e42512bdc7c57', '77177478fc811879', '7555e47b02789beb', '819077a05ec815dd', 'd94267d8022d8664', '37e9852ebeead35e', '9287db30ff7af69a', 'c87ed13477475e4a']; context = [[39, 73], [5, 38], [7, 38], [0, 29], [62, 97], [25, 55], [86, 122], [125, 160], [177, 209], [26, 55], [6, 38], [28, 59], [1, 33], [38, 78], [96, 131], [7, 41]]; loss = 0.011000 low_pass_filter = 0.300
+Epoch 0: | | 8879/? [1:31:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 8880; scene = ['1d3ee0e53979d90a', '8c8947bc4f9bcce9', 'b547a7565aabf774', '725edaf7f5f88583', 'fe50b8ab71db6ff7', '698b8f508e07fbec', '23239944ae5320b2', '810f74775db97784', '6b8879627b5e72b9', '3899768cb1c16293', '67bfb1615102109e', 'ac9e395a9d6c20b7', 'f2fae71744cd5443', '70d4b8db4ed39f14', '2a57757b60e76cb2', '1a19d8dc9c410869']; context = [[3, 36], [69, 104], [36, 68], [7, 47], [11, 51], [137, 175], [22, 57], [13, 49], [187, 222], [7, 38], [68, 101], [159, 189], [175, 213], [44, 75], [148, 188], [46, 85]]; loss = 0.012807 low_pass_filter = 0.300
+Epoch 0: | | 8889/? [1:31:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 8890; scene = ['dc9477687895a68d', '51817eaa8265bc7f', 'ef9aa38474d77912', '4bd55ac28c876fce', '04c44b1b8b0c6efa', 'b59b91f89bea682e', '156d5114133bc02a', '5e9b5579ab5155f9', '256ae648672281d1', 'b5ced0beb191395e', '26f11847ab7e1b55', 'e70c21625fceaebd', 'd4947e4e6e324253', '93bc37f0a27daa8f', 'f90ce230307d2f34', 'a7dbd6c8a26b2dbe']; context = [[29, 63], [74, 112], [96, 135], [6, 37], [189, 221], [92, 132], [5, 38], [154, 191], [19, 48], [64, 100], [172, 202], [59, 93], [95, 132], [39, 72], [184, 219], [97, 126]]; loss = 0.011290 low_pass_filter = 0.300
+Epoch 0: | | 8899/? [1:31:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 8900; scene = ['1503f70f0474756d', '52c4bb658d7e2c97', 'c7b726bf41c7363b', 'b40b16262771f2d6', '8edab48b06f54f71', '2c4ec7127111bce1', '2e684f88b302526b', 'fb215dfa4249d979', '22e44c9efb4ac335', '527a2de7a08dfc20', 'acd2ed932e21f625', '119c24c05102a5b5', '864148d49cf777cb', 'f272bac50c6f6f32', 'e8164998fa4d92a3', 'd8a5d7ed2df85474']; context = [[31, 65], [105, 140], [9, 46], [20, 52], [128, 157], [17, 54], [2, 31], [11, 49], [18, 53], [24, 57], [24, 55], [52, 88], [98, 136], [16, 46], [181, 211], [77, 109]]; loss = 0.009979 low_pass_filter = 0.300
+Epoch 0: | | 8909/? [1:31:53<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.00train step 8910; scene = ['d4cc5c4887f72d3e', 'da6ab468a5630616', '9216e7998db36067', '52983a3110a185fe', '609d6205bab3f9de', '2517e14bc498b4f8', 'cf96acfe14a34f96', '7db24579515c9c03', '30de684928c0292a', '174b9b8d56204204', 'aeea05a91f0fa062', '089622d662597220', '7599842c18f9e0e8', '75ae63a846122094', 'a0b88ff1fc110540', '9c09eaf37515bfb0']; context = [[176, 214], [5, 45], [0, 30], [26, 58], [77, 108], [28, 67], [41, 78], [38, 70], [17, 53], [99, 136], [23, 63], [218, 251], [40, 73], [21, 50], [6, 36], [116, 148]]; loss = 0.011291 low_pass_filter = 0.300
+Epoch 0: | | 8919/? [1:31:59<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.00train step 8920; scene = ['6dd17de596dae3be', '29813418d3210005', '47421c0e831f93ab', 'f01f0f602cf82f5b', '6a1c56504c0bb47f', '7df8b2db66f22383', '00c7f4d292a58bd3', '79cb5fc3ee21d2a3', 'a0792de6d36408c4', '42fc11373e395d2c', '55e8daddc05245e7', '74765fcdcd14194e', 'd578c51b5f2f2976', '8af27c723ccd5649', 'df05534dfd852202', '9db6fb7dea6b0de5']; context = [[127, 157], [55, 89], [1, 39], [48, 83], [85, 114], [58, 88], [7, 41], [69, 109], [39, 77], [65, 97], [12, 52], [44, 80], [2, 42], [44, 73], [83, 118], [57, 90]]; loss = 0.011934 low_pass_filter = 0.300
+Epoch 0: | | 8929/? [1:32:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.00train step 8930; scene = ['85b95906da927213', 'e92f5355816a5aef', 'ee020a8773034321', 'e947935fb3399788', '86b09005d9a29cdc', 'a760fd49e007484d', '1b640724a4303dba', '7ed6d0ea114b5877', '263c602274f69859', '261b90e2858fd047', 'f47face8be798493', '9973812e154968d8', 'e15367ddc67d2247', '94dbfc6d72ae96e1', 'dd41d5c9bec9d428', '46d97ff2d47bd0b1']; context = [[28, 67], [88, 117], [178, 217], [47, 80], [42, 72], [61, 99], [5, 37], [122, 157], [12, 45], [144, 177], [38, 70], [57, 91], [25, 62], [72, 110], [12, 50], [112, 149]]; loss = 0.011988 low_pass_filter = 0.300
+Epoch 0: | | 8939/? [1:32:11<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.00train step 8940; scene = ['2abfcae1edd36b58', '69fc48e88e77063c', '10d1864880c5a385', 'd867469315c8b0ba', 'd39d020d124fb591', '5969edcafd208c2d', '4b19af1446b886e0', 'f6d8dfc70b33a654', 'f3acba9a72f70675', '3e8e2593fb4e7647', 'b6b27ea9e20cc7f3', '9c7f3c4d1c9c3760', '93dcdc36ab76b422', '50d16d209c6d009c', '47e61f9035350deb', 'ce59572e15a0917b']; context = [[0, 40], [22, 53], [105, 143], [74, 106], [147, 176], [2, 40], [11, 50], [34, 68], [36, 73], [16, 53], [43, 79], [47, 78], [76, 116], [80, 109], [42, 73], [95, 127]]; loss = 0.009363 low_pass_filter = 0.300
+Epoch 0: | | 8949/? [1:32:17<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 8950; scene = ['452a487aad737922', 'f2c8678212c44344', '997a652293e8b7f8', '826bba2bcafe7d03', '3ded3e3c1fe76ee3', '5228c2104f8fae53', '32594792c3f9361f', '242016b24b4251a6', '3dbb2c1bc521b62e', 'b3c9ebc907ec6e04', 'fc8e5038180d1870', '2c818e06fab2adb1', 'c470e82acd641c32', 'c953d129166956cf', 'b407aff58d0b2042', '61aa53cc53799ae9']; context = [[189, 221], [9, 44], [38, 77], [157, 193], [74, 109], [183, 214], [0, 30], [64, 93], [147, 177], [40, 80], [218, 248], [15, 54], [14, 47], [54, 83], [118, 157], [16, 53]]; loss = 0.011760 low_pass_filter = 0.300
+Epoch 0: | | 8959/? [1:32:23<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 8960; scene = ['bd23e786eb4d80a2', 'd0ddbb1c73874bec', 'f2fd8742f673fa6a', '9dfe2966ef842aa8', 'a18e4f50b39db23f', '4321e85d908b117d', '32c0a57c089dfffb', 'ec5815c2f8d05f81', '82125c3653da9f1b', '0fcee80286318859', '991621933aad3eaf', 'f9f1d88856e0561d', '48b9036a85220b01', 'f11edf723a9c4afd', '456bbdc4f9bc2bf0', '3137d32facfa0909']; context = [[239, 269], [59, 94], [37, 71], [0, 29], [29, 64], [20, 56], [30, 70], [8, 42], [122, 152], [154, 192], [3, 39], [46, 84], [22, 52], [165, 198], [18, 47], [10, 42]]; loss = 0.008161 low_pass_filter = 0.300
+Epoch 0: | | 8969/? [1:32:29<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.00train step 8970; scene = ['6a3f9d9e01c9bda5', '74ccd7f499ff29c1', '1a00d4e8aa97867b', '18b72612d78e5800', 'e32290ab3ad7c715', 'ab85bf8652d24e47', '58d9100716253f0f', '4d0ffa23690b31f5', '95f77454a0125854', 'a89e2f1bc57991f3', '11a1b9420a2069bf', '48c4a4758b86d309', 'fb0aa00f96d016fb', 'b13bc8cfc7773063', 'b5ee30ee1caab19a', 'ba9bac4198a51d76']; context = [[41, 70], [43, 77], [216, 253], [30, 63], [76, 111], [49, 88], [32, 72], [21, 57], [99, 138], [26, 60], [102, 138], [21, 50], [40, 69], [97, 137], [1, 30], [61, 97]]; loss = 0.008062 low_pass_filter = 0.300
+Epoch 0: | | 8979/? [1:32:35<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.00train step 8980; scene = ['4e2925a18aea45bf', 'af432bfae937c126', '7ee5633080b935f9', '081d24766be8a35b', '84eb4811e007bd73', '6506f727e342a210', '74c756a6fadb42ca', 'db61a53a8df7d1e5', '2c69c20ad26a77de', '9e00040e823be79b', 'ca454d783ce478ff', '1bfbe8965d852ef5', 'ac1070fffb90f663', 'cf110ff727c7af33', 'c872ffc2c297b18f', '9b8e6a1b2b901d1d']; context = [[184, 213], [21, 55], [31, 67], [4, 42], [103, 132], [214, 250], [62, 102], [68, 106], [32, 67], [20, 54], [73, 106], [77, 108], [133, 165], [26, 66], [67, 102], [199, 228]]; loss = 0.009522 low_pass_filter = 0.300
+Epoch 0: | | 8989/? [1:32:41<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 8990; scene = ['2f261ec99e601af5', '99947f86c2cc4108', 'db5e3b998bc94027', 'af4ba8dac0ef1089', '458e67c3c4dfbf24', 'ea048e21097e9eae', '70b8aac2ceeb3c5c', '6803b3d46e5a2c7f', '736aebe2985e23f5', '04c6050c4373c7d4', 'de860ffede23edfe', '4cb365b666eb29d3', 'f72a46ac3bfc6ef2', '966391dedc9b04e1', 'e8ac1d56f76c2071', '554d150cf9462431']; context = [[34, 68], [1, 30], [68, 108], [1, 35], [59, 89], [69, 103], [0, 34], [1, 30], [31, 67], [16, 46], [80, 112], [153, 191], [36, 66], [112, 152], [34, 63], [46, 77]]; loss = 0.012927 low_pass_filter = 0.300
+Epoch 0: | | 8999/? [1:32:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 9000; scene = ['e7f820327fa7287a', '1626e670755b1d8c', 'b399dfbf864d3076', '348e39e72320bf9b', 'aecba92e05f84330', '45881f9f6f662df4', '14b4d62a983a3e42', '57b1333abbaea573', '7a9e2a1db5d0c45b', 'e13d24cb77bd5842', '7225310f01007948', '2c7822582c375f00', '2b00682d03aed4d2', 'b385335fb75e585f', 'fc2836052b5947f7', 'e7da917d11d5cd1e']; context = [[1, 31], [17, 54], [56, 91], [27, 56], [139, 170], [101, 136], [7, 40], [1, 40], [95, 124], [47, 80], [98, 132], [25, 63], [14, 52], [85, 125], [106, 140], [48, 87]]; loss = 0.013227 low_pass_filter = 0.300
+Epoch 0: | | 9000/? [1:32:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00validation step 9000; scene = ['2f197e2a5d5d2985']; context = [[2, 33]]
+Epoch 0: | | 9009/? [1:32:54<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.00train step 9010; scene = ['b6b9559aa53adcb6', 'd265b0d8c2b9a96e', 'f4a8f55651b1b8be', '8734bf1187fb1cb4', '79bc597102376aef', '717e391149f3c5eb', '1dffc11384eceb52', '0580f898bf9de725', '7e18c24b44ceb1cd', 'b18ac5291f4c02b9', 'af9d1e6e51023368', 'a2c58db9c8001374', '460edf005a29dbe8', 'ddeb26aee2619bf5', '5f6c34666d91e1e3', '2192e23641f6bf31']; context = [[27, 63], [68, 100], [45, 74], [22, 53], [41, 71], [232, 271], [170, 200], [146, 175], [14, 51], [3, 35], [83, 113], [24, 53], [109, 141], [25, 61], [13, 52], [36, 66]]; loss = 0.010466 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 9019/? [1:33:00<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 9020; scene = ['b43eae80d9b59fae', 'e4d53cef4b37c36e', '5aea64e123ab1589', '84d2d6712d389970', '8e072e82a4158afe', 'd565a415518bd68a', '1e25fb7754f58040', 'fa9f019e1226ba08', 'd24bb3503cb81519', '3b5fcd4d1a5496ae', 'dfe58e223f079215', 'e88d5253019ba9b1', '44622d3502746b3f', '225b13acb75305bd', '59baa163bc171083', '0d9483dc76901c4a']; context = [[51, 83], [108, 143], [104, 138], [233, 272], [37, 72], [15, 50], [19, 57], [4, 39], [58, 96], [40, 78], [20, 50], [3, 32], [78, 114], [8, 39], [10, 46], [29, 62]]; loss = 0.009587 low_pass_filter = 0.300
+Epoch 0: | | 9029/? [1:33:06<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 9030; scene = ['38fb99bfc3d886f0', 'c8f5b0f0adb6817d', 'b7cc7c503b10b878', '93fac9602a1702de', 'd3416f0ed06a7ad7', 'b5ad3c2c360db727', '3b4f5b58eaa9e909', '4fd26cdcd92cc984', '8db206b0faa1b032', '4700b4a628c6131b', '165d9989e76cd538', '86ddb8cd0b6f0741', 'ce81fbe67b6d91f7', 'e78668ecd87257dc', '45677926c908e6e5', '5b511f6b48cdb84c']; context = [[31, 67], [160, 197], [5, 44], [223, 257], [2, 38], [43, 80], [29, 65], [25, 60], [17, 52], [22, 60], [151, 180], [3, 38], [14, 49], [21, 60], [74, 104], [247, 277]]; loss = 0.011811 low_pass_filter = 0.300
+Epoch 0: | | 9039/? [1:33:12<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 9040; scene = ['a0eff2ed6dfc0743', 'd78014308656fcca', 'c80daac3b10f42f6', 'e5c8b67170a5bba3', 'a9b70dd896f7e8e9', '15646b7173d4f18e', '41c352f47d88eab4', '1a76ad73eecd0b91', 'ca6f03e8f08e0069', 'b995a8f12125ac6a', 'e67e76536d6b86f4', '7254198da88530f3', '85252cd1589d94fb', '1bf48dbc7214ae64', '292ed237c4689f0a', '01f7b353655b6eeb']; context = [[7, 45], [55, 93], [19, 58], [65, 98], [66, 96], [17, 50], [186, 218], [16, 48], [10, 39], [1, 41], [16, 52], [32, 65], [37, 73], [10, 40], [21, 58], [54, 92]]; loss = 0.009296 low_pass_filter = 0.300
+Epoch 0: | | 9049/? [1:33:18<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 9050; scene = ['a421fa44be30ccf8', '6d0db0358f7e051e', '916ba32c24c8014f', '02a840608387c7e1', '484b6df8b586dd1a', '57112bf6cf251fe1', '7c3c345404cd29ee', '7c6a8caf90ddc0fc', 'd8f23d503b820e53', 'b3ccb1e1003fcb6d', '9fb3173ad654a32f', '6f8b2d73ed0da2f1', '9a8fd1d3cf706b89', 'a5f3bc6da5870232', 'b4049b5f74fe2c1a', '3370b1a40953d7ca']; context = [[6, 43], [3, 36], [38, 69], [13, 51], [31, 60], [15, 50], [33, 72], [35, 72], [3, 43], [16, 46], [9, 49], [39, 69], [19, 48], [61, 92], [65, 99], [5, 40]]; loss = 0.014646 low_pass_filter = 0.300
+Epoch 0: | | 9059/? [1:33:25<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 9060; scene = ['984ffd413db16533', '7b80aa09b7f21186', '83ebc32def5a3967', '59e94a32e670efd7', 'ef2a0c327852b774', 'c7f1be8551fffb8e', '00ed6136c07aea5f', '8dada1b00a394314', 'fa3080b291d02ee9', 'c0c4c31e533004c1', 'a4e2964058d85f34', '049637262aa9a03e', '89eae766d1dfa570', 'bfad3dedda5e004c', '1a85cec942246c96', '7490a6c26e83d55c']; context = [[33, 67], [139, 172], [27, 67], [42, 72], [150, 183], [14, 47], [75, 115], [23, 62], [41, 70], [33, 67], [95, 127], [28, 61], [36, 73], [57, 87], [61, 95], [172, 212]]; loss = 0.010339 low_pass_filter = 0.300
+Epoch 0: | | 9069/? [1:33:31<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 9070; scene = ['742da951005a3ff5', '409e4236aaf4b6fe', '62008345be9d5772', 'c1bbf4879c1546b1', '6c461ad05bd11de0', '38521be537d8a9aa', '75cfeb226b47a5a1', 'b3c2eaecfff1ccaa', 'a78affb518c2e2c2', 'a58bd21f7b45e7b5', '8fec1e2289d578c4', '4dd9c5fab7e6ec75', '3f0cf2bff697d8cf', 'dee435320ceec344', '55bb1398c07abfaa', '5df5c5216840766c']; context = [[50, 90], [154, 190], [36, 73], [65, 103], [132, 165], [31, 69], [41, 70], [6, 41], [6, 43], [25, 63], [64, 93], [11, 51], [39, 77], [19, 55], [3, 38], [3, 33]]; loss = 0.009812 low_pass_filter = 0.300
+Epoch 0: | | 9079/? [1:33:37<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.00train step 9080; scene = ['4cd9adcbfdce1f77', '257afa86bc6a8690', '67c2fd0b40160790', '459f8eeea2c51be9', '46abbc7e39a5c1ce', 'de891429c0a521b2', '2533ba0275d10e50', 'f70b121ccf3f3ed6', '3f9d1fd2875c86e0', 'c69af9c3bab53abd', '0aa8245eeefc11a3', 'b8edc44674166d18', 'ac451d6a344dabd9', 'c304ac5f3fe47b0a', 'ffcddd641eb66a0b', 'e3937eacadfb024a']; context = [[12, 47], [5, 34], [36, 66], [31, 64], [41, 77], [11, 43], [24, 63], [95, 134], [6, 37], [46, 83], [123, 158], [86, 124], [164, 198], [38, 75], [36, 69], [12, 46]]; loss = 0.009384 low_pass_filter = 0.300
+Epoch 0: | | 9089/? [1:33:43<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 9090; scene = ['d8c5e90225704aea', '4296043230e5cb08', 'fb0cc810fda13456', 'b30c5363681d3c16', '61f2bd9a20b9278c', '065751bd5f26d40b', '142cb821add92aa7', '8fe01181bfc7318d', '7026a142e49b73a2', '975cc049e8005ca9', '7a2bec1959eead9e', '2e91b67f2ece02be', '662b8fd7e0234fb7', '46bcbdd06066acb6', '6c086cb6262004f4', '8bb20f35c6b24315']; context = [[9, 43], [66, 99], [56, 95], [31, 67], [24, 62], [33, 65], [8, 45], [13, 46], [147, 182], [2, 37], [0, 37], [8, 44], [87, 123], [124, 160], [80, 117], [15, 54]]; loss = 0.011807 low_pass_filter = 0.300
+Epoch 0: | | 9099/? [1:33:49<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 9100; scene = ['f1c70b01433e528f', '5b3422e1ad0e3f86', 'd7ca8401b3a2387b', '628d53c4fa7f75e6', 'b219243c6a108088', '71226cfe95601144', '1e1bd550daa0d3ec', 'a6ca24800d9603ac', '325313dd798bdd45', '9001456359afb4e5', 'e11b15356cb16a5f', '6f2781369a82d41b', 'de328be82ac43439', '79e5fa7345e69819', '34ec238bbbb9dd57', '12c487620fb54b3a']; context = [[8, 39], [120, 156], [8, 48], [72, 107], [24, 54], [70, 99], [217, 255], [0, 40], [39, 72], [2, 41], [147, 177], [108, 146], [33, 68], [19, 50], [51, 85], [13, 42]]; loss = 0.011872 low_pass_filter = 0.300
+Epoch 0: | | 9109/? [1:33:55<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 9110; scene = ['c6b59c06634125d4', '3e1717aff7917fdc', '4f9e0f20a0596484', 'b11740540edffef4', '98f451b1132d99c3', '023327e82b73dedb', 'ebcf7f8c0b83ef53', 'fd20e96d59c53813', 'd9fad8315e43622b', '2e6bbc821b435d6e', '2511f4234bb649b0', 'c5e778adb95578f3', '4396ddf4485c21c9', '20e704cf9128841e', '001d7dab76c43f91', 'e7d671486a4b099d']; context = [[38, 69], [13, 46], [73, 107], [14, 54], [30, 60], [5, 41], [54, 91], [28, 67], [34, 73], [26, 66], [5, 44], [6, 37], [23, 60], [43, 74], [39, 76], [1, 30]]; loss = 0.009247 low_pass_filter = 0.300
+Epoch 0: | | 9119/? [1:34:01<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 9120; scene = ['b3871abf5fab3140', '4109501e6b924539', '5054e805903470cd', 'd8f9cdd66d5a9ec5', 'ac9475b5f8128e87', 'd4896139155e24c5', 'a41a1bcf7d09b4eb', '890e703ff66e180a', '006f24f8fa62a3b7', 'ed3ec99c97d13679', '31bec714e9a163e5', '2557d505c19c8b3d', '5f6b16b0e97a3062', 'e87019343627db3e', '76754b00fc4f05cb', '3ad32c774a990a63']; context = [[33, 69], [85, 122], [19, 53], [0, 31], [5, 36], [28, 65], [68, 107], [35, 71], [58, 98], [13, 42], [10, 43], [3, 41], [143, 180], [45, 79], [194, 234], [91, 131]]; loss = 0.008471 low_pass_filter = 0.300
+Epoch 0: | | 9129/? [1:34:07<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 9130; scene = ['321daaf7850e7d74', 'd8ddebbd5a79364b', '8ac83ba3156df8d9', 'cc8ca5db181e8bce', '0ea852338a77c84d', 'd12b528777b5bffd', 'dea5bd0f77069f72', '7400bbcba57af668', '65cdd012231a757c', '117c40ed2a9e43f3', '704f321e2f7ae62f', 'dea4f2fd63133d6f', '6a770609acf21a54', 'faec00f5ad1203b9', 'dbb0eec549cb5e45', 'c0c21b050511ef76']; context = [[38, 72], [25, 54], [46, 77], [101, 140], [57, 90], [0, 30], [39, 72], [137, 174], [107, 142], [28, 66], [139, 176], [137, 175], [22, 61], [53, 82], [87, 119], [67, 102]]; loss = 0.008829 low_pass_filter = 0.300
+Epoch 0: | | 9139/? [1:34:13<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.00train step 9140; scene = ['61c1aaa67eea39d0', '6558b85c9ac3b0e3', 'b9cba9ecbe5545b4', 'f94c0f8d82c1bbfb', 'b90e9986496ec9dd', 'b47d79c158df940a', '370c89acaa45185a', '88228785b1d84b5e', '9939b4381aaf7427', '4411ae95c7e5029d', '01e5a931a368c08a', 'bd2f1a3acfaafaac', '283f97b69a040590', '56ab4d88ec3cac58', '7ceaff866deb1fe6', 'cee85cd29d8808d6']; context = [[38, 75], [115, 154], [7, 40], [2, 39], [155, 188], [28, 58], [104, 135], [14, 47], [121, 153], [49, 88], [72, 102], [24, 54], [29, 62], [5, 38], [16, 56], [38, 68]]; loss = 0.011936 low_pass_filter = 0.300
+Epoch 0: | | 9149/? [1:34:19<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 9150; scene = ['3b4f1606efe949df', '9e5b301443a4e4e7', '273d38e69ae4e7ab', 'bf6c3bb4273bb482', '9335c0a02e4383e6', 'ddf23ac21281e688', '1307574e6ab07d0e', '8f93ab80df48a143', '645bdd61301d7e81', 'd05ca04016dd15aa', 'ec1978c494e59410', '78eaba283994c8c6', 'b04e5c227aff1e96', '689bbb5e507bc181', '410f4bb395cc0603', '266a25ea018c3991']; context = [[27, 60], [167, 196], [26, 66], [2, 42], [17, 57], [25, 65], [110, 141], [136, 168], [27, 60], [11, 42], [109, 148], [33, 70], [40, 71], [73, 112], [63, 101], [44, 78]]; loss = 0.010322 low_pass_filter = 0.300
+Epoch 0: | | 9159/? [1:34:25<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 9160; scene = ['95d0bc74a6cb6410', '9dff9a317da1d49d', 'c9f16c5c526ddbcd', '02ea4129dd5d7b3d', '1e97fe5dfd5c79a7', 'cf977b0362ca2e4b', 'c3f48d66e8da8bbc', '02ecb10e9363e210', '1d6248d4db20fdc3', '3101e062e990fb4c', 'e81379351dfd7263', '5ab84da28337a82e', '7e8e4fc21d873b5f', '658fd2565c2cd3bc', '3d24db7c9cd49075', '26e37e586c020680']; context = [[54, 89], [50, 81], [24, 54], [8, 43], [27, 56], [1, 33], [12, 42], [92, 132], [182, 216], [13, 43], [1, 35], [14, 53], [7, 38], [37, 77], [7, 37], [7, 45]]; loss = 0.009613 low_pass_filter = 0.300
+Epoch 0: | | 9169/? [1:34:31<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.70, train/active_min_children_step=4.00train step 9170; scene = ['00c14be5659b7fe5', '013c589d4f2ec409', '6eae271fb9939971', 'c59b6f75d304391b', 'fd1af2cf0da71b4e', '9fbbb95fe1cddb74', '05942c4e02b982f6', '2f04d4aea94eada2', 'da0a014448440c00', '6b8eed37ef5bbb26', '477b299b36c39b44', 'e3f00fedd66a5a18', 'f52a6dc5163500e0', '1da393563ec599b5', 'b8efd88159a680e2', '550724ff9b83397e']; context = [[86, 115], [186, 216], [36, 66], [71, 100], [23, 58], [40, 75], [22, 51], [5, 36], [3, 41], [59, 97], [20, 58], [10, 44], [46, 80], [34, 63], [38, 74], [32, 72]]; loss = 0.010729 low_pass_filter = 0.300
+Epoch 0: | | 9179/? [1:34:37<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.00train step 9180; scene = ['0a34b018c664a8d9', '480284b9570c6f99', 'af1e0e38c0da060c', '78d31bc844cb6ca3', '3352dc8efda190e0', '36be11bd06d2ef68', 'd7e6c0b3ac09c6cf', '05f76b85aa906dc8', '1fdf19d7c4402d40', '51b6e63c903275b4', '7d890b7b3665505d', '2e3f54363345e299', '1e0d33d113426065', '45e462394d584b16', '14421a21370bd814', '311a8980ac58da1b']; context = [[72, 103], [65, 105], [227, 265], [20, 55], [201, 236], [50, 90], [2, 38], [8, 47], [19, 52], [214, 254], [10, 39], [36, 65], [0, 33], [114, 151], [18, 52], [52, 81]]; loss = 0.011732 low_pass_filter = 0.300
+Epoch 0: | | 9189/? [1:34:43<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 9190; scene = ['8cacc3596b722653', '028c6f1113a68969', '4fbefae3f03e9f33', '8404eae21432063c', 'e5a4dcf034c38fc7', '1864a988dcd127e8', '32ca420636e7498f', '0154dcafdf387a0a', '8195e8de2d85356c', '06dd8772e77b7738', '7b18ad4131a3c318', '78086fc839b55dff', '2745f6d6846847d3', '5a7cc6854438d617', 'e0aeb18b259372fa', '901da44e3786eac6']; context = [[93, 132], [3, 33], [16, 47], [3, 40], [2, 32], [152, 183], [90, 126], [63, 96], [33, 73], [10, 46], [4, 40], [39, 78], [3, 33], [165, 201], [62, 94], [37, 70]]; loss = 0.008402 low_pass_filter = 0.300
+Epoch 0: | | 9199/? [1:34:49<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 9200; scene = ['c6cdc4c9282bd491', '5fe123b3d2013cfc', 'fa56d1dc39d8ea78', '1f9ce370806c2704', '6f948a4959c98bed', '1c23d32dd0f64dad', '30ff59fc98384f54', '864f419062ce6d13', '64400d6b30972461', 'e253357e3dc7986f', '660e0b0fa857b7e8', '6a8096005ddc4f82', 'd5d5a1e1db7e243e', '9d11a876559d60e4', '59d502128ed2a093', '30ea75ac0d308229']; context = [[242, 276], [172, 212], [46, 82], [10, 50], [187, 227], [159, 191], [37, 71], [16, 52], [27, 60], [32, 70], [37, 68], [96, 126], [82, 114], [38, 78], [127, 160], [206, 235]]; loss = 0.011254 low_pass_filter = 0.300
+Epoch 0: | | 9209/? [1:34:55<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 9210; scene = ['d5c7ec433b929542', '27f1e5e997cbb35f', 'ff84efd73a79db20', 'dd6a99f9e257bba4', 'd9ce36aa8de182bc', '64082c7dc15fa79d', 'a9bf3348f1e83705', 'a943ba6f8905b420', 'd347f976ced5d74c', 'ede92a46c8dd0f52', 'dfa7a182916c12e1', '8cff663bbb394999', '8d6d63fc0319773d', '3f1ba6d26920ff8e', '773fe8698a0eb7ab', '9966fa446a4eab97']; context = [[66, 96], [7, 37], [168, 205], [62, 96], [0, 32], [109, 148], [105, 138], [50, 87], [48, 77], [26, 55], [1, 30], [26, 60], [102, 139], [15, 50], [63, 95], [53, 91]]; loss = 0.012010 low_pass_filter = 0.300
+Epoch 0: | | 9219/? [1:35:01<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.00train step 9220; scene = ['2504c4c9dd301ee6', 'dd2917211969e260', '3a6c71c919d08e44', 'da6c310dfbb63199', 'd0e7ac78921f8c07', 'f60373796216b3e7', '39dae4692d7b82da', 'd800d4da5605b3d6', 'e63cb12fc52c36c6', '11360d957e7fed26', 'cfac893736d0c31b', '16b46bf7b3709c2f', 'fe182ab98e3df748', '9aa246217e9c04ea', '265b85322352d5e1', '904ec56432f4a066']; context = [[0, 30], [104, 134], [49, 78], [133, 168], [53, 87], [111, 141], [31, 67], [18, 50], [10, 50], [0, 32], [185, 221], [179, 212], [71, 101], [42, 75], [0, 30], [124, 158]]; loss = 0.008743 low_pass_filter = 0.300
+Epoch 0: | | 9229/? [1:35:07<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 9230; scene = ['9e13cbf563b9747d', 'e63575e2657489fd', '1c5700ef1f66c707', '8163796864b51991', 'cd6ef3e285eb2d6b', '0cd01fdb58679bb9', '9da23c6a66bf2a7f', '582b42ffa44c4437', 'e04ac2d9763fb353', 'ac73c593c5fadbb2', '46ec28923c735944', 'c8f03a644eb68237', '30ee4fd9eccc6b9a', 'c2ad8a9ba52a66e4', '6a3f09ac3efff60f', '80577c02d0925e08']; context = [[14, 54], [19, 59], [4, 33], [135, 173], [26, 62], [12, 51], [17, 55], [104, 134], [0, 32], [74, 103], [5, 38], [27, 65], [3, 38], [84, 121], [63, 97], [22, 59]]; loss = 0.009165 low_pass_filter = 0.300
+Epoch 0: | | 9239/? [1:35:13<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 9240; scene = ['afbfb11da5517acb', '78729dc7fc839286', '970c8ab96a42388c', 'd1c4a0e0fde61f4b', '6856c108142f8615', 'e01fd52543c3109c', '07e15647254b6cab', 'fd5aa11dc66a75c3', '176290ff95c16e3f', '7d3be97db6025753', '9e511f66516b17db', 'a65c18f99fcf5f82', '800338faaca65953', 'efb590fd4b4eb0c5', 'b1567f860f304a96', 'e3e2b1c90271d8e3']; context = [[91, 121], [121, 161], [9, 39], [88, 123], [13, 47], [105, 134], [32, 62], [85, 115], [19, 58], [43, 74], [113, 147], [32, 68], [22, 58], [8, 45], [0, 29], [158, 192]]; loss = 0.009478 low_pass_filter = 0.300
+Epoch 0: | | 9249/? [1:35:19<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 9250; scene = ['b13bc8cfc7773063', 'badbbc71ceac3641', 'fb0aa00f96d016fb', '8f51811a81f8b55f', 'b5ee30ee1caab19a', '694f7574abd152a9', 'ba9bac4198a51d76', '82b3148fbfdcf4ec', '4851fa48e250c7a9', '2377d1ff1f1b7f23', '4d3d250d83adc2a8', 'c4683228d9e80db9', 'aea85ab6f7b1ef63', '206553caeb36aac8', 'e12794d33944d104', '148537ca7721ce60']; context = [[106, 141], [41, 74], [47, 77], [5, 39], [2, 33], [9, 38], [149, 184], [49, 84], [28, 57], [33, 70], [23, 53], [161, 199], [16, 52], [8, 43], [3, 33], [11, 46]]; loss = 0.013083 low_pass_filter = 0.300
+Epoch 0: | | 9259/? [1:35:25<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 9260; scene = ['d68565483c9b4696', '98a1924100186241', '2b5e6d0ebc0b794d', 'c7329bdb7df9f49e', 'e310d39b3b13542e', 'f47ce554c1100cc0', 'ad6382d589e53358', 'd426c64fa2b71ff8', 'e83f2a56d8c098e2', 'ddf55954b077bbeb', 'bd15af2177366253', '48608b5e820962c5', 'd6820efece05e85e', '9559990c1ce5c206', '9046b906e0747a38', 'd5f301b7bd22ad8a']; context = [[62, 91], [83, 120], [39, 77], [30, 69], [8, 42], [99, 131], [33, 70], [7, 36], [110, 145], [28, 67], [68, 106], [111, 143], [21, 53], [54, 90], [149, 178], [21, 52]]; loss = 0.011559 low_pass_filter = 0.300
+Epoch 0: | | 9269/? [1:35:31<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 9270; scene = ['8cb4470c0c7f0985', 'f44605ccfe673d4c', 'f919bf589008481c', 'aa89328fd849d813', '7dff7cc241357591', '89fd30333a66d781', '2c6fc82128274bd2', 'c7d2800105ae3669', 'fdc53d78156ed9ba', '95306ec7c18fe2aa', '50863a3be6590b17', '740530267134cd5f', '650e6f2ad859a7f5', 'cfae8689c0568699', '3566daa8c63d47cf', 'e7dd065439cbb857']; context = [[101, 131], [16, 47], [13, 49], [6, 46], [17, 54], [11, 45], [11, 49], [37, 75], [1, 34], [2, 34], [26, 56], [65, 103], [48, 83], [12, 43], [15, 51], [1, 36]]; loss = 0.011927 low_pass_filter = 0.300
+Epoch 0: | | 9279/? [1:35:37<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 9280; scene = ['76341617c3507c21', '0a1dd3e1f6524f08', 'd331518102a154db', '47ede36a3b0a9ac6', '9838fe9fc1b18412', '4aef69f68bcb332a', '1e7515aee6314e7e', '7de98f273b4d8c10', '902494b1d15a4ffe', '3d3388e0ce470fc9', '6ab7ca8a673ff6c8', '002bdb7ee61c492b', 'ee4076dd13067fba', 'c0b39f7150688ac6', 'a3c52e17a3569170', '1d96d42281a14794']; context = [[6, 39], [30, 64], [13, 43], [190, 220], [13, 53], [30, 71], [3, 44], [84, 119], [134, 163], [117, 147], [56, 86], [97, 128], [61, 90], [14, 55], [16, 54], [109, 138]]; loss = 0.010126 low_pass_filter = 0.300
+Epoch 0: | | 9289/? [1:35:43<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 9290; scene = ['08fb209705cee001', '13ea9a2f890a7e5d', '041619ff29c07a62', '0a16fa8f89158d72', '530e301346b04ad9', 'ce4dc15358ce3325', '406fde294fa23770', 'ef63515e69035648', '0428a189c6851f5c', '41437dd431c3ee5c', 'd28a8733293f559c', '2900d72b03228c17', 'ac594627880fdbff', '8785cbf4976baccd', 'e0d0771727087c6c', 'e4a42950792173f1']; context = [[40, 76], [18, 50], [26, 57], [37, 71], [5, 40], [33, 71], [44, 76], [175, 212], [58, 93], [8, 40], [11, 52], [117, 150], [95, 126], [1, 36], [225, 263], [118, 148]]; loss = 0.012392 low_pass_filter = 0.300
+Epoch 0: | | 9299/? [1:35:49<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 9300; scene = ['83e5e3c86685140b', '8c3341ffcf21f124', 'f05393ca393eb8da', 'c52515792bedecd9', '33c8c67a9ea6fedd', 'd49e67a8f12257f1', '802e6169f7469048', '030147dcc38c03ea', '5ea64595f58c3671', 'b3ab77c6b4280a91', '9ba492f71643adcd', '685287c58b99f901', 'b185095d30859c1f', '3a7d3ceffc107473', 'e4eb21913a18ad33', 'a3a6ca42f6e72973']; context = [[2, 35], [17, 53], [182, 221], [21, 60], [6, 44], [35, 65], [34, 73], [0, 37], [45, 79], [28, 65], [128, 167], [0, 41], [179, 211], [104, 144], [5, 38], [23, 57]]; loss = 0.010504 low_pass_filter = 0.300
+Epoch 0: | | 9309/? [1:35:55<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 9310; scene = ['7f407bcccf32d9ec', '52cc0ae108971258', 'd3e8c029f7ddfaa0', 'e4007568f51e07ce', '8a4818ab2308dba5', 'f12525f7becadc47', '819b6af73885034e', '42a3daae34acb6d0', '3522956c0f83534d', '7dd4d8b4dc082dd4', '829dee1b037f367e', 'b8e76ea0476fe482', 'ba67f70b5b0ec072', '3f62f46c54c21cf2', '23d89b926a4e9ada', '33d44d22ca5117fd']; context = [[37, 78], [64, 99], [17, 52], [66, 104], [10, 40], [8, 44], [72, 104], [35, 66], [4, 35], [13, 44], [52, 83], [2, 35], [39, 68], [5, 42], [1, 31], [17, 48]]; loss = 0.010014 low_pass_filter = 0.300
+Epoch 0: | | 9319/? [1:36:01<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.20, train/active_min_children_step=4.00train step 9320; scene = ['d722e55b32424dae', '3333768ade9bae8f', '0faf6d493edc4914', 'a44aac7c4a36172d', '9ce015e049e794f1', 'e019f256c86c3ffc', '2c2893932017a26b', 'de0b5f163df22bac', '279f2ecc43905a1a', '835fcebe0e9a911d', '003c67ed6be72aeb', 'fd69db1d82a60c93', 'af3cfd1df1bd7d6c', '5c805e87d1acc7ff', '83840d718c0c6462', 'a221a85eb7d833b1']; context = [[0, 31], [13, 52], [114, 144], [0, 35], [18, 59], [12, 44], [44, 78], [23, 62], [75, 112], [86, 117], [11, 41], [138, 175], [16, 46], [89, 119], [101, 140], [50, 84]]; loss = 0.009723 low_pass_filter = 0.300
+Epoch 0: | | 9329/? [1:36:07<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 9330; scene = ['6e47696f41c1858e', '92305aea6a445399', 'd9dd6e0b1550b1ee', 'fe2c764518e7a72a', '8fba4dda8330a838', 'dcfd07d4a022b226', 'eefdafedf732e5b0', 'c74969cf2d6052dc', 'f1eae9bf3eb4bbbf', 'b48b1adbf6c01e9f', 'e81941e5c1fe55cb', '1ff9a4a3b6e51631', '7d0d149eccb8b61f', '5eadfa9632f7fa08', '2fc39ef41d033bbd', '2182f82243b1b557']; context = [[33, 71], [42, 76], [2, 38], [156, 192], [50, 84], [37, 73], [0, 29], [83, 122], [23, 54], [43, 80], [33, 72], [38, 79], [14, 44], [74, 108], [87, 124], [155, 187]]; loss = 0.013262 low_pass_filter = 0.300
+Epoch 0: | | 9339/? [1:36:13<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 9340; scene = ['b9829efc41051928', '12302e01dbbf3067', '3218c763368e277d', 'dedb887c8670af93', '84670c3b39f59b38', '4fe25643ef91f4a3', '964d888d8d08f2aa', 'd48eac88de473e67', '8f15c5ccc01cfdd5', '18fab33114eb4b24', 'acf6cfa881ce0e5d', 'dbccef9c3dabfe90', 'd6a89c16aaab7af1', '3f71dccb016a848f', '9d156dc70e89888b', '3443a368dfa7d6a6']; context = [[5, 45], [213, 253], [23, 56], [145, 184], [16, 46], [11, 51], [145, 182], [147, 178], [147, 182], [97, 126], [144, 177], [0, 34], [18, 50], [58, 89], [7, 37], [40, 71]]; loss = 0.012704 low_pass_filter = 0.300
+Epoch 0: | | 9349/? [1:36:19<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.00train step 9350; scene = ['4b8f8220c32ae94e', '0a41b171a01b0296', '0f737b3540b6ef3c', '3706add84fc44372', '0f5d5b92ce2aca3c', 'e512661bf75c3a7c', 'edd6edfb48780892', 'f9540970fc8a58cd', '0f714589074ad057', '3f6f6c90783da13f', '0745d537fc1aec73', '60f8dae5645cd128', '89a157ea50b44d8e', '42e8ce77eb573d3b', '658a1b41b954b052', '830ae97d2cd7c39f']; context = [[3, 39], [26, 67], [1, 39], [17, 54], [14, 54], [20, 59], [138, 172], [19, 60], [22, 62], [61, 93], [156, 185], [108, 147], [21, 56], [15, 48], [5, 34], [16, 48]]; loss = 0.010269 low_pass_filter = 0.300
+Epoch 0: | | 9359/? [1:36:25<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.00train step 9360; scene = ['917a89fdc7272009', '09857c20a9b14df3', '51e6b1d7cd013f21', '5eee3bba5d8a0af0', '05a005f68ecccc2a', 'df7deb08bd35cc9e', '9159925b118937a4', '5dccd30e3c943574', '184fb534f9aca4da', '3bfec395b8c94681', '4afa06236618dc34', 'b783fd026ee69b9b', '053fa3b31bd31cf6', 'f1107a1bee7889a2', 'b708eb4026ae8eec', '0dd89c7680c86b9d']; context = [[20, 58], [39, 78], [49, 87], [92, 127], [71, 109], [21, 55], [9, 43], [50, 89], [57, 87], [5, 43], [17, 48], [161, 195], [26, 58], [116, 149], [6, 38], [7, 39]]; loss = 0.008793 low_pass_filter = 0.300
+Epoch 0: | | 9369/? [1:36:31<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 9370; scene = ['2557d505c19c8b3d', 'ac9475b5f8128e87', '890e703ff66e180a', 'd4896139155e24c5', 'd8f9cdd66d5a9ec5', '67d352381d7a7b70', '5f73666742e21b1f', 'd5823a68b648b87c', '94e215648c3a36ce', 'f6e4d0c5dc9c8416', 'f8bfadf2a2db58b1', 'e036a67fbf65ef41', 'ff0fdcef9ed61fe8', '965ab371f3fb588f', 'a80ee48cc67b439b', '29b0d579d639f287']; context = [[78, 116], [30, 67], [13, 52], [19, 57], [6, 37], [15, 48], [27, 66], [47, 81], [97, 135], [40, 69], [56, 85], [5, 40], [15, 52], [63, 103], [0, 35], [36, 65]]; loss = 0.008077 low_pass_filter = 0.300
+Epoch 0: | | 9379/? [1:36:38<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.00train step 9380; scene = ['0296e319701adeab', '241601d1769307d3', '019cb5972c83b8b1', 'ca426ae9f14b62b0', '0400ae2f8f9d11a4', '38bf775d94c91313', '1d551aaae4e7bcba', 'b701a44de44e6712', '1dd9690bd5cc0fcf', '81b0ef8a758fba61', '104239f3585cef56', 'c817f950848090ec', '9ff58706e510fac5', '0cd6f4841a15ea2c', 'c533cd77b9d83394', '6da546cc88d60c4e']; context = [[105, 138], [14, 53], [0, 33], [65, 99], [36, 75], [39, 69], [22, 56], [110, 144], [64, 94], [4, 34], [36, 75], [13, 53], [99, 131], [7, 40], [27, 60], [5, 39]]; loss = 0.008389 low_pass_filter = 0.300
+Epoch 0: | | 9389/? [1:36:44<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 9390; scene = ['9fbb521a4d947ef6', 'b04e73f999394039', 'b71f1c4d3f3e11b7', 'b06e72eb3136c5e8', '240ad84c83b28925', 'e6ea6d241b13591c', '66cb26d49732078a', 'acc62473df85b047', 'd53fc98a3d2e0354', '9a8eb979640612b6', '4f32974a69fcd472', '7555eb436f9bdb19', '974d35536552dc22', '122a42c5df06bb9b', '55526866fcf56e2a', '57a1c0730778cddd']; context = [[20, 60], [1, 33], [0, 36], [49, 88], [36, 75], [49, 78], [8, 41], [2, 32], [88, 120], [9, 43], [29, 60], [38, 68], [17, 58], [62, 91], [58, 98], [5, 44]]; loss = 0.009534 low_pass_filter = 0.300
+Epoch 0: | | 9399/? [1:36:50<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.00train step 9400; scene = ['031417a3cbe6fb9c', '3285acf4e36fa9cc', 'ae607ae68787458a', '3a2c878e7c867c5c', 'f603fb7c184a9103', '552fe4256228068d', 'e73c983fceb6c907', '1133663b914f2b24', '46ecb89a64c0c1de', 'ed0a1cc02c8e4c4c', 'ad6f19259e566310', '96ce5de416a83b88', '00eb40d5943d736e', 'b82626b72a875d21', '21b9ab8241a464ef', 'ed41dd96081cbfd3']; context = [[23, 63], [34, 70], [29, 60], [11, 46], [93, 122], [53, 85], [219, 260], [0, 30], [221, 255], [37, 71], [107, 137], [0, 37], [18, 49], [7, 46], [32, 70], [0, 33]]; loss = 0.010946 low_pass_filter = 0.300
+Epoch 0: | | 9409/? [1:36:55<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.00train step 9410; scene = ['c16723fbcb761f4d', 'c59110b12726b62f', '23e0a517e66cc53b', '0be1eb8ed3b0fdd7', 'deeb1333c82b68ec', '4221d9dc852be4a4', 'e4aed2d05890fccc', 'cf38796bb729a8cf', 'f094dfed58e91480', '61aa53cc53799ae9', '1992e8528cef1a7b', '3f9aa6eca48e26da', '39b7742780c1f28c', 'a592370324d5bbdf', '500a00cd01d9c7a9', '0fda9cfcef23a269']; context = [[86, 121], [67, 108], [4, 40], [18, 59], [24, 54], [122, 160], [7, 46], [32, 72], [51, 91], [51, 89], [70, 106], [10, 43], [35, 76], [120, 156], [33, 71], [9, 49]]; loss = 0.010794 low_pass_filter = 0.300
+Epoch 0: | | 9419/? [1:37:02<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.00train step 9420; scene = ['db1068e12f5eaa38', '43b393f9fbe8c744', '109a2b4e200658e3', '907b7d7de96be38b', '0f619919bfa5bbb9', '0e78e5535435bd04', '7c408d9b7886fbd5', '7c8078a55752bb8d', '76bb3998ec399bef', 'b0015817f627808b', '6d80b398b3a8a9fd', '62883e8bb34b9fbb', '514262c4e8b18609', 'f3b57f2536c06064', 'bd32d7b21541c1af', 'e6ecd26a61666db6']; context = [[15, 50], [80, 110], [31, 70], [29, 61], [4, 36], [190, 223], [115, 145], [13, 49], [62, 95], [7, 42], [33, 65], [37, 68], [38, 75], [31, 70], [98, 131], [113, 143]]; loss = 0.008443 low_pass_filter = 0.300
+Epoch 0: | | 9429/? [1:37:08<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 9430; scene = ['202ec6e6a4765626', '4388baf3cc57d396', 'ad923f1df8199a76', '58fbf7415b5f94d2', '767b618a563c7623', '5c62cf786dbe00a8', 'e5ced938ccba70aa', 'ae89438718649d1d', 'a162cdb8ce63cec4', 'ce33babd90a5ad2e', '3ff0da4ffa65091c', '4d0c3e56bda4fd40', '1b038d91bdcbbf7f', '2fc891cada0f22a9', 'c8510dd2d98c4de1', '1cf2b8e0bc0a89ec']; context = [[47, 79], [7, 39], [4, 39], [37, 74], [7, 44], [2, 36], [31, 61], [33, 67], [62, 100], [105, 141], [28, 66], [48, 84], [20, 53], [10, 42], [106, 146], [10, 45]]; loss = 0.009845 low_pass_filter = 0.300
+Epoch 0: | | 9439/? [1:37:14<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.00train step 9440; scene = ['b071ad8689db9c26', '2b0577494f564adf', '3e8747e482515c2b', '90a59555e1643296', 'c1287b8d9c79bd88', 'cc6afbdc106752c8', 'adbb618cc73e270f', 'ce3f27fe9657e8fd', '56eef01b1b4d5a42', 'a73be355bda8a283', 'ea72c253cf632767', 'e21b493b2dfbb0e1', 'd84d473049f9d6df', 'fe95d4af8c50f45f', '4b5c213f3cfd6c3f', '40eb61f6f262db4b']; context = [[168, 198], [7, 42], [87, 125], [53, 89], [162, 196], [60, 93], [17, 49], [1, 37], [20, 58], [59, 99], [7, 46], [133, 167], [83, 118], [73, 113], [23, 58], [41, 77]]; loss = 0.010937 low_pass_filter = 0.300
+Epoch 0: | | 9449/? [1:37:20<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.00train step 9450; scene = ['52b984bea1f78ad6', '37fc78ec8f502ca8', 'd7ea3145a7a8262b', '12e7764d11953827', '6f66b328a4e34622', 'bf04cf9b68b3fac8', '47da7cc68759850d', '4f95468a4da9e2b0', '1f4c07d97e1d3933', '85297a2bcbc4a715', 'b6b7b0eae11d61d6', '17e65ef21ff522f9', '60cd7c110878bdb4', '3a26de357e2efd16', 'dffbd50f717a2075', '80852727f76f2089']; context = [[9, 50], [110, 143], [27, 60], [3, 33], [4, 45], [152, 189], [51, 82], [80, 114], [32, 71], [10, 40], [12, 45], [36, 73], [35, 67], [23, 64], [72, 113], [44, 81]]; loss = 0.007965 low_pass_filter = 0.300
+Epoch 0: | | 9459/? [1:37:26<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.00train step 9460; scene = ['25aa323aabbe5b51', 'bf5905b88057d933', 'b6e343e58476e518', 'e8b2c8101ed20ada', 'ca21a226fed668c0', '64ffda972d8fa3a3', '784d526c21f7a7e9', '5c521539a781d58e', '39e360f77dc7c928', '3b4911a700295aac', '7f56895856d87e26', '2d746af0682cba3a', 'f5e853419c79ba74', '01049871f9386ff4', '63577fc4dff23de8', '7f1b737c232c590c']; context = [[12, 46], [38, 69], [62, 99], [26, 62], [107, 145], [26, 66], [199, 237], [9, 40], [4, 36], [32, 71], [142, 175], [23, 63], [23, 64], [15, 55], [3, 36], [81, 113]]; loss = 0.009639 low_pass_filter = 0.300
+Epoch 0: | | 9469/? [1:37:32<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 9470; scene = ['391c225f2d89a186', 'b6fd5085cd94fb12', '2d4274c201aa3953', '488f101dac781951', 'f289353b04210ce2', '4f37cf41bcd303b6', '3d180f7db4ceac89', 'd1984e967dd06eb0', '9fa44f00235340df', '0c293d0a8ef0d3aa', '0eb636ce2b575fbf', '0b8f2051807ee7dc', '163f24b2f0443e8e', '499d86e3dec59f3b', '3ba35e378f244891', 'da36c8d245c38f27']; context = [[124, 165], [39, 69], [12, 52], [27, 57], [42, 83], [150, 182], [34, 64], [21, 57], [4, 43], [26, 66], [36, 75], [56, 87], [57, 90], [69, 104], [83, 121], [111, 142]]; loss = 0.009230 low_pass_filter = 0.300
+Epoch 0: | | 9479/? [1:37:38<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 9480; scene = ['69c909f45ea50a31', '2fb09555bd650643', '9af59d6b0e6d80ba', '07c2529ac314f932', '791a8c311bda31d0', '08573a54ffbed332', 'fe09fbcc7217f075', 'a2611d3a2917309c', 'f1789e98aa1ed5c8', '1115254066cc1476', 'a65ef54b0f6cec2f', 'efc61426e83c812c', '2c61c4c2a252057e', 'a53c93ca22ccad14', 'fda3d2a0b1634f99', '14b4a87eca54c72a']; context = [[0, 34], [17, 55], [33, 73], [14, 46], [81, 119], [43, 78], [7, 42], [105, 145], [53, 86], [27, 68], [30, 61], [15, 48], [19, 52], [28, 63], [0, 33], [153, 183]]; loss = 0.008769 low_pass_filter = 0.300
+Epoch 0: | | 9489/? [1:37:44<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.00train step 9490; scene = ['4d873311d7febb22', 'd26b7e922c01a42c', '9ede7fe8bd8d7f13', 'afaacdb33c57fd95', '87a283e357cece3f', 'd1ab1dff073d6d37', '47dc67897b5ed04b', '47998e79ea520baf', '99f954aa675fb74f', '203636cf0b2f7d99', 'ab6cd47b1ae67af4', '735bf267b3553a6a', '8fe2890aa478023a', 'ab4e375b399fe29a', '9e3070f594378795', '65339c35edabef23']; context = [[31, 69], [81, 119], [41, 79], [147, 185], [10, 51], [82, 114], [73, 107], [20, 57], [16, 50], [40, 80], [16, 49], [74, 115], [91, 127], [52, 87], [62, 96], [3, 36]]; loss = 0.009598 low_pass_filter = 0.300
+Epoch 0: | | 9499/? [1:37:50<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 9500; scene = ['e47634b0f5f5e6ff', '00cdf8750f5182cc', '06021e71c89de687', 'c7ff883d4ef56b7b', '7aec8305761aba3c', 'e04f7fb189a186f2', '974f8bf4f55b941b', '039f60e42dce9e90', 'cba4fb922ec2d6d4', '0421b2f436f8639b', 'db03fc84a638ede6', '62a3405c56eb738e', '2e4d851f9306e3dc', 'f1cba6bbef111bc4', 'c85eadbc32f2adb0', '040c698e24e08ed0']; context = [[113, 147], [76, 110], [54, 86], [178, 219], [206, 236], [56, 94], [0, 31], [32, 72], [30, 61], [59, 100], [1, 34], [58, 90], [1, 36], [8, 39], [179, 218], [25, 62]]; loss = 0.009872 low_pass_filter = 0.300
+Epoch 0: | | 9509/? [1:37:56<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 9510; scene = ['06a2cc8ce16ae941', '19f0598ab55869ef', 'da5f57f3a1ec4bd7', '25e5e7cb35dd9129', 'e3cd94a50b1b4070', '41b859c2c1082df4', '37de93f90823339f', 'c14e41b5efd90e77', '890521ad9b8a40bb', '191f822dc7fa0c96', '30acb971c9074776', '6c461ad05bd11de0', 'f69ea3d4400b7e81', '742da951005a3ff5', 'f660faddf8e7c064', '62008345be9d5772']; context = [[141, 172], [7, 46], [48, 85], [13, 45], [16, 57], [11, 50], [53, 89], [55, 86], [5, 44], [46, 87], [18, 54], [240, 274], [134, 165], [16, 51], [114, 150], [9, 49]]; loss = 0.010484 low_pass_filter = 0.300
+Epoch 0: | | 9519/? [1:38:02<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.00train step 9520; scene = ['dff181c503e5c202', 'b730ba2045aa78eb', '66c3771cf7cb96c2', 'b86f3ce1bbc34571', 'f97c2793d856bf9a', '550411cdc1322414', 'ba02405928d0a4aa', 'd2de8aa86cea4852', '5b102feeee66dff6', '96ee7fc11117a67f', '40ea50b25d5808fe', '3be599773b6276d3', '15209b5fbb6b8b46', '1b4bf668832e3786', '9ba7ffd700b4159b', '00b40cafaa3a389a']; context = [[105, 138], [96, 132], [54, 86], [6, 42], [115, 154], [72, 113], [17, 55], [9, 47], [111, 147], [15, 50], [151, 191], [1, 33], [60, 94], [65, 97], [33, 69], [3, 36]]; loss = 0.009591 low_pass_filter = 0.300
+Epoch 0: | | 9529/? [1:38:08<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 9530; scene = ['32d7ff686f72221e', '506d1a24243d0c56', 'ea357cfdb1ebe90d', 'bd2dcb0a4d2b8645', 'ac0e2fe64dd03fb3', 'a4c5e65a8a1fba1a', '474c45efe1818b56', 'b06d31ad3cf3c91f', '9c507b0e969d8f40', '861999e4623fbc46', 'fe52b77f0328d7be', 'a564a6846e90f759', 'accb755285389002', 'ecb694088ae78f7d', '41281499ddf2fbd9', '057968bb7adf0b33']; context = [[19, 50], [244, 278], [21, 56], [40, 77], [34, 70], [166, 201], [57, 91], [45, 78], [159, 199], [87, 125], [171, 210], [8, 39], [55, 96], [238, 272], [14, 51], [6, 47]]; loss = 0.009748 low_pass_filter = 0.300
+Epoch 0: | | 9539/? [1:38:14<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 9540; scene = ['0b31e02e9b30d53f', '650c97a5d26d16fd', 'a9319dee9251ebe6', '5449702e7a248c83', '59d453d9a3928400', 'e7f8f1481b01c222', '66726f5afdab740e', 'f2e6470ad27f495d', 'df3eace7286b16ff', 'bad9d8fce9a88d31', 'a3abe0c419b12a6d', '0ba513fbd074377d', '975302d5f959f41c', '8bbabafb6a0d2572', '977cd2725f6a4297', '3718696ac560ea92']; context = [[196, 231], [157, 198], [173, 214], [20, 57], [76, 112], [26, 63], [118, 159], [43, 80], [13, 49], [40, 75], [232, 273], [28, 62], [10, 43], [26, 59], [112, 144], [66, 96]]; loss = 0.010620 low_pass_filter = 0.300
+Epoch 0: | | 9549/? [1:38:20<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 9550; scene = ['a80189fe08a0edd6', '4d9d95d4a2eda32c', '7c57600e31e85604', '599229267f8aecef', 'fbdb2585231bcee9', 'eddccfb13a700e19', 'eca1e97782041b82', '80f041deab809da5', '9268d50de3052c96', '3ac7d938a795a0f3', 'e866dd5ed712269e', 'f471c754cab8aa43', 'fafd9e0fbb9517b8', '0a1e750a4a0d5a2e', '5c886fb149e4cc36', '458eeba74b812c02']; context = [[25, 65], [76, 106], [9, 42], [4, 37], [104, 139], [141, 181], [11, 45], [1, 38], [41, 82], [3, 35], [1, 31], [2, 34], [43, 82], [86, 126], [27, 63], [30, 71]]; loss = 0.009354 low_pass_filter = 0.300
+Epoch 0: | | 9559/? [1:38:26<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.00train step 9560; scene = ['3f457f654a0e55ff', 'bd3000ab2c36932c', 'd461a810204d6b4c', '57cfebab95eff038', '34eee1cd916180b6', '705f8b32e2369ab6', '65d259c21ebad0c7', '39562390d25ab1f7', 'a6f59b6fc78d8962', 'ca0c530a8b07385c', 'fab8cf437b00bbb8', '135df50182880756', 'ec08dd73107e5569', '9de2baa98d2b5ee6', '341c99184f643485', '49769bb690975222']; context = [[9, 44], [3, 40], [7, 45], [37, 71], [40, 78], [146, 182], [134, 166], [216, 257], [60, 99], [13, 49], [57, 89], [11, 42], [64, 104], [103, 139], [26, 65], [38, 75]]; loss = 0.010059 low_pass_filter = 0.300
+Epoch 0: | | 9569/? [1:38:32<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 9570; scene = ['34cfc00abdcd512a', '051226ccfe5e094b', '140c3d5ef7a7552e', '57835f1d5104a129', '9dcd75331e841483', '76eebb57797f6686', 'cb6fa53ea702a2af', '827871f237fdbe1f', '10672316482c3ee7', 'b984c6d3cf0516eb', 'f84e10e8aec82922', '7dbd9631683c5ae8', 'cac37e977aa56490', 'cb9d0d7099e2f296', '334eb53845f3615f', '7426a108ff0bd8f0']; context = [[4, 42], [34, 72], [117, 151], [141, 181], [54, 88], [0, 40], [21, 57], [84, 117], [57, 91], [83, 119], [41, 79], [64, 100], [7, 41], [25, 64], [25, 56], [65, 99]]; loss = 0.011665 low_pass_filter = 0.300
+Epoch 0: | | 9579/? [1:38:38<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 9580; scene = ['7fdd72e496bdd789', 'c0ded55f01f2472c', '3fcf9f442304f5d3', 'a971b3d4b654fcd6', 'deac6c1bc870db57', '86730e14cf45077e', 'e209814caf886ff2', 'fb3926ccaa7ce567', '11a485ef06f84a25', '48e35e779b8bd99c', '2c2d6873128e014a', 'b68ed170d10cf1a8', '4cc6fa6dc966f1bc', '16af37ee77aeaae7', 'dc11fe3737ec6ce9', '4352f5ecbeaf4b69']; context = [[30, 71], [5, 36], [20, 52], [74, 112], [64, 105], [41, 81], [11, 51], [87, 123], [27, 65], [47, 82], [15, 52], [135, 172], [67, 102], [6, 43], [222, 259], [74, 106]]; loss = 0.011100 low_pass_filter = 0.300
+Epoch 0: | | 9589/? [1:38:44<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 9590; scene = ['87936316747fec41', '84278f38e03eb055', '2635e85202abf905', '4e47cf8a0b5e46fa', '5efafc624bc57c34', '85bd140b5d588f8e', '139ea1df8d7f576a', 'ad0c7854290bb67e', 'a0c8c3af0eee5a8a', '0aa2ad8ed112f05e', '09c054099b4e7450', '653f2e3ae30c6720', '6cfbe30216126142', '4f7592dffa986b7b', '3bffe257fcca540e', '3b405ae88aee9885']; context = [[47, 88], [94, 130], [3, 33], [8, 47], [0, 32], [58, 92], [142, 182], [3, 41], [50, 86], [166, 201], [21, 52], [88, 127], [29, 67], [3, 36], [4, 45], [133, 170]]; loss = 0.008946 low_pass_filter = 0.300
+Epoch 0: | | 9599/? [1:38:50<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.00train step 9600; scene = ['5873cdfb303368a8', 'b4ffa1f6d55b36d5', '694b55576cadcfc0', 'b0442470142e211b', '7d1fec00044efc66', 'd60fde062314a282', '9e379fa440d61fbe', 'f680164af3370245', '0b3f191324b209a5', '1a41eb1e3be69b00', '1987e5287cf07ea9', '6f0f0133f8cd5eaf', 'a48c2ca51c2f6577', 'd96f4644b2bc561a', 'e91ad187bebc2b26', '5e78af90c3e5d57a']; context = [[125, 156], [139, 176], [9, 40], [72, 109], [1, 38], [15, 54], [118, 156], [31, 65], [178, 215], [2, 32], [14, 49], [9, 43], [8, 40], [40, 76], [23, 62], [37, 76]]; loss = 0.010587 low_pass_filter = 0.300
+Epoch 0: | | 9609/? [1:38:56<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 9610; scene = ['1bceb09e66d92e69', 'ecc967837b29dcf8', '9f1a608d1347ccef', '9c09eaf37515bfb0', '6c84f14a6cac1574', '089622d662597220', '7ff92e29cbc1a0dd', '75ae63a846122094', '3de63e0d27173373', 'aeea05a91f0fa062', '7599842c18f9e0e8', '30de684928c0292a', 'aadbd867f9b14e0e', '174b9b8d56204204', '7db24579515c9c03', 'a0b88ff1fc110540']; context = [[4, 39], [25, 63], [23, 53], [30, 66], [30, 65], [223, 259], [11, 44], [48, 79], [33, 64], [34, 69], [3, 38], [0, 33], [3, 40], [34, 75], [71, 107], [6, 44]]; loss = 0.011216 low_pass_filter = 0.300
+Epoch 0: | | 9619/? [1:39:02<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 9620; scene = ['68a3b46fca433cb2', '970767e29cf84f39', 'd260d88bf073d9cb', '31b2b4402ca020d6', '9ab202bff0564dc6', '53e3cefb76e02bed', 'c2f0d80406d86b11', '539b45d381a384c1', 'a50ad10fbaf3944e', 'b382d162cc864f82', '89a259054c86c2b8', 'd9e0fbd08e604fcf', '209a430849ed8266', 'b308d11f761f3807', '8c6c789f025a5e42', 'bdfb7017a16fb8ff']; context = [[33, 67], [103, 141], [0, 30], [55, 92], [1, 37], [0, 40], [237, 269], [15, 51], [9, 48], [9, 49], [57, 88], [37, 71], [10, 50], [17, 48], [7, 46], [82, 112]]; loss = 0.011720 low_pass_filter = 0.300
+Epoch 0: | | 9629/? [1:39:08<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.00train step 9630; scene = ['9293552a4fd9e9b8', 'b8961e144a31476c', 'd65a5c1a8affbdf7', '19be4b64d871cacf', 'c6c47a9a7955b1ae', 'd6a5761361d47e69', '924787511c18e2b2', '58d5f032e4b73bac', '0fc1d3eb152ac269', '9753f8322c482c18', '4d6eb04ec12514ea', '776ecd6b307e8f49', 'af29adcca541066f', '7d28d9be17cc753e', '4a8407cf03055f82', 'bdab4452012d21c4']; context = [[98, 133], [13, 49], [11, 49], [43, 76], [0, 37], [47, 88], [56, 97], [2, 42], [2, 33], [8, 41], [23, 58], [13, 46], [22, 53], [38, 77], [0, 37], [7, 48]]; loss = 0.010437 low_pass_filter = 0.300
+Epoch 0: | | 9639/? [1:39:14<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.00train step 9640; scene = ['7e85b8181b1fb058', 'bd56736d1e772221', '8c1ce54a9dcbb3fa', 'c87449940235f48e', '08eba97ab70a53b9', 'b05956f4d856f617', '7d1f1a0e18d49747', '7ed803931e2b7125', '631fadaea18e58bb', '675f6247a673b21a', 'd20bd318d76a2570', '6776654a549bc238', 'c51f822be909372b', 'b2a34524405f79ff', '9bb10fc846b3d2b1', '124c9f059bef0478']; context = [[6, 39], [2, 38], [1, 35], [215, 255], [73, 112], [206, 245], [4, 38], [2, 35], [15, 51], [154, 185], [37, 74], [107, 138], [145, 176], [30, 64], [12, 48], [0, 31]]; loss = 0.009185 low_pass_filter = 0.300
+Epoch 0: | | 9649/? [1:39:20<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.00train step 9650; scene = ['46feebcb8a06d358', 'e8185625226bdc84', '7a0cb96230343062', 'afc173cc0972dd2b', '860dadf8da924a9c', 'e694c343f4b5bf59', '67144be03a04c9c9', '5ee9b11a61c46984', '4599933ba9ddb585', 'ccda7bb9dfce5c1d', '32701c869bd8dfb8', 'f5e3b37b1b2b5f62', '251b033c6bbb0256', 'e8f80504a64dc7e5', '3cca155053b89326', 'e066d9d444f847ba']; context = [[166, 207], [145, 175], [45, 79], [134, 170], [5, 37], [9, 47], [25, 65], [7, 39], [9, 46], [46, 82], [78, 114], [26, 66], [174, 207], [218, 252], [25, 56], [123, 164]]; loss = 0.008900 low_pass_filter = 0.300
+Epoch 0: | | 9659/? [1:39:26<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 9660; scene = ['faf893d2ab0ac2ae', 'e1ddf41bfff8e633', '012269104853a520', '55ccd9a655c33142', '2ee7a79a967f4bde', '893c6774f4081075', 'bcbf50461b51de13', 'e7d623f1e30baded', 'a7e747c29ec529d9', '5d638056c203c0c1', '61801b2fcfff5c6d', '02ca568f4fb100e8', '56b2322682ff3abb', '7ee2d5de1dd77651', 'e2913c4dd06c4066', '7e39fb81346877c4']; context = [[0, 41], [2, 36], [38, 69], [34, 67], [11, 47], [10, 42], [40, 81], [14, 55], [184, 214], [77, 113], [37, 71], [25, 58], [36, 69], [146, 179], [26, 62], [192, 223]]; loss = 0.011445 low_pass_filter = 0.300
+Epoch 0: | | 9669/? [1:39:32<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.00train step 9670; scene = ['36701189dc5f94ef', '6174715e9df77674', 'c326a47d6f346e43', '37321c182e5bf3ed', '9dfc77c50a277b26', 'cb2b1b55f3fc77a4', 'ac635718f0df20ce', 'd2a9abc9f488ab92', 'edfe56997f23fd03', 'e847af48e0a4f411', 'ee3aa9f733529ee4', '07cdcf1e89921c1f', 'a050ff56fbb4233a', 'cbf4f24d31aacf75', '3f53473da1f537be', 'c2dfcf83569faa75']; context = [[58, 91], [2, 32], [26, 66], [7, 39], [32, 65], [75, 115], [32, 63], [5, 43], [21, 53], [6, 41], [2, 42], [48, 83], [18, 56], [176, 217], [19, 51], [142, 174]]; loss = 0.011120 low_pass_filter = 0.300
+Epoch 0: | | 9679/? [1:39:38<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.00train step 9680; scene = ['35d21e2bd3e505be', '40afe34a720b2555', 'b4129ddd2e8d9ffb', '6bb5c60edea6cfbf', '1c3978a2a10683ed', 'efbe907be10f9dc1', 'a10c07334630554d', '4ac2a29fadf3852d', 'a539cdd0182bcc7b', '72a9c61ce291388d', '47bbe5be6d1a1faf', '42dbc601fe2ef235', 'e806c8996c08edcf', '9a7592ed3d928a81', '6a4023f9a3212fdc', '31d5682b2f1ea580']; context = [[8, 45], [8, 49], [3, 40], [52, 83], [41, 80], [13, 46], [3, 33], [7, 41], [106, 136], [53, 86], [60, 91], [1, 38], [203, 241], [224, 254], [125, 158], [134, 169]]; loss = 0.011984 low_pass_filter = 0.300
+Epoch 0: | | 9689/? [1:39:44<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 9690; scene = ['657d40112099caec', '104a8544cb466c6a', '0e501f15d2d170f4', '79259e9d15d21aa7', '9db02389f1e00f28', '9c763036f1d84e18', '5a2ad43377e9d18d', '67e69f3a4701dfd8', '13bf5f055a9014fa', '7759eccd562145b9', '788e3f2f61826f98', 'b91dfcb3102d1482', '9e5365dde25b7403', 'bbde6840d9d8b008', '0e4916077d990d1e', 'a597e94e50eb917a']; context = [[241, 276], [140, 177], [20, 58], [14, 51], [19, 52], [106, 146], [1, 35], [7, 41], [2, 42], [31, 64], [37, 67], [25, 64], [28, 68], [12, 45], [9, 48], [245, 278]]; loss = 0.009889 low_pass_filter = 0.300
+Epoch 0: | | 9699/? [1:39:50<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.00train step 9700; scene = ['4ecd5c4f7805037c', 'ed8632210679231a', '9752656fbe957d0a', '6c026febf16b306d', '22705394017fbab5', '3e06c3307bd1421a', 'a4945b7f65c2e00b', '118e7cd595442071', '38fa4c9a06609db9', 'f6827cdee506b85b', '82926e34aeeddfce', '06a0287f3507e833', 'd2e4aecb868f00b4', '02e58ceb1fa9d4e6', 'c53258eb827277f5', 'a1c263e8b99e3d9d']; context = [[5, 37], [2, 33], [14, 49], [223, 263], [37, 76], [71, 109], [16, 48], [2, 40], [52, 84], [235, 271], [82, 117], [0, 40], [149, 188], [0, 31], [106, 139], [104, 137]]; loss = 0.011571 low_pass_filter = 0.300
+Epoch 0: | | 9709/? [1:39:56<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 9710; scene = ['d36abc3bb2e099f2', '088a3f79c608abd4', 'f8ad06eeaccd37eb', 'dad8b744cd8e2d6d', '773467e0c2dadcc5', '3a4bd5f5aa8919a3', 'c068006a34482758', 'd5b138f5c90dd265', '6d7a3ab8144faa43', '06a978db0d334b56', 'f3663bd0444d3f5e', '3dcc869dac9f202f', '843fe83814b8012d', '0c262b6bc566b453', 'ff68f1639ba712aa', 'e952c4a90e3e9b1a']; context = [[29, 63], [219, 254], [199, 237], [7, 42], [25, 66], [60, 95], [22, 55], [80, 114], [45, 80], [12, 52], [0, 33], [80, 111], [228, 267], [50, 87], [222, 257], [28, 59]]; loss = 0.009937 low_pass_filter = 0.300
+Epoch 0: | | 9719/? [1:40:02<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.00train step 9720; scene = ['d7eff3b592d43b5d', 'a610a0429a65252f', '785a6f3ff2cb836b', 'be6ef75da859e939', 'b3a1c03be2a34013', 'd8f3c1df8cd99206', '761e4cc8a44174a6', 'b488309344145da2', 'a6d10a076e16ca68', '29b8e57e47c3e036', '5461f5bda5a96c63', 'c3f698f6017a16e0', '15caba48886c6f68', '39422d0571911e76', 'e1ba571bfd9cab32', '60ac2ed64f533db5']; context = [[16, 50], [14, 51], [92, 124], [67, 98], [39, 74], [12, 44], [99, 137], [74, 107], [221, 257], [159, 197], [62, 103], [51, 81], [35, 69], [30, 69], [23, 56], [1, 34]]; loss = 0.011855 low_pass_filter = 0.300
+Epoch 0: | | 9729/? [1:40:08<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 9730; scene = ['f8c1caf3eab5b16c', '97c0bf305efadc77', '40ed2cb104667242', '9e1a163a4b26ae11', '5cc16e3f7aaf0112', '4930a1bdadca5861', '31e356b9fe421e30', '78bf4639eab831ff', 'f8c51265453ae30c', '3bdcf30a816f96f5', '14c18b3853eed06f', '8309dedf60ef56c5', 'e05964b2d09ba2b9', '7159d6505aa199b0', '56f95247e77bedc3', '37fc71e2d5534f99']; context = [[41, 71], [48, 86], [36, 72], [26, 58], [21, 60], [11, 42], [19, 51], [158, 190], [10, 44], [65, 97], [2, 33], [5, 37], [169, 205], [30, 69], [40, 73], [36, 68]]; loss = 0.012544 low_pass_filter = 0.300
+Epoch 0: | | 9739/? [1:40:14<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 9740; scene = ['323f5e3ce1a6262f', '11373a7531640609', '6936190f2338e455', '4371a56503126532', 'ce4c27e415863b8a', 'e08993b4d6d78756', '5d1f56db44a99943', '3a2f53e5b3ebb8e2', '1a4a70d73a62334f', '2f9426ec71ba4b43', 'e4dcaf1b71eb8c94', '3be7f00fa13983d2', '730b321f2c6497e1', '1df1273a6516b04a', '3166ae87ee5f30ed', '26d20668bc51b63f']; context = [[128, 168], [74, 110], [12, 51], [101, 141], [22, 56], [54, 90], [84, 123], [24, 63], [1, 39], [25, 66], [36, 68], [19, 55], [22, 63], [161, 197], [81, 111], [26, 63]]; loss = 0.011234 low_pass_filter = 0.300
+Epoch 0: | | 9749/? [1:40:20<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 9750; scene = ['60d42bcbe69497c2', 'b4f2c7ee86d08c24', '2a010fc63a2a5bf4', '5babab14b5da8d1f', '0923f3552ad572f7', '35504747966f90b0', '62a9cdcfa2e55488', '3a31ed789296ce91', 'dbc8f6b8f02a5df6', '6d5adb44b0fcc0f5', '752a9ba05152ec94', 'eda41536796bf57e', 'dc74defbc8c8d054', 'fac84877f62bf4ac', '72e02bab04fb8c64', '67ec892c9487534d']; context = [[17, 57], [72, 105], [99, 139], [11, 49], [14, 44], [12, 48], [135, 165], [128, 166], [27, 63], [24, 58], [121, 154], [9, 50], [27, 64], [11, 44], [39, 76], [76, 111]]; loss = 0.009897 low_pass_filter = 0.300
+Epoch 0: | | 9759/? [1:40:26<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 9760; scene = ['6b67868d28e30206', 'ef7c1abe51c2e16f', '488750a485d29305', 'a856be05423bf9f5', '3c76d8218a2e0039', '8ff7592195f6c8fb', '0e571bee404ebce8', '6653743843f0d459', '91011e70f2ace193', '1ccf8e66b3204773', 'e3163ed6369a0cc5', '2e42cb5881b4a406', '1bd50f99c461fa1e', '32f5d4268f84fbd7', '3421821e39949234', 'a2a4bb9b88e3f271']; context = [[46, 85], [6, 40], [101, 138], [63, 97], [0, 32], [84, 125], [14, 54], [20, 52], [208, 244], [69, 106], [64, 95], [140, 179], [8, 40], [26, 64], [10, 43], [45, 83]]; loss = 0.010727 low_pass_filter = 0.300
+Epoch 0: | | 9769/? [1:40:32<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 9770; scene = ['d94f8b293f8e9f84', '87b52a9b88bab3c8', 'c988d1f30559d963', 'aa34d877cb4fbcb8', '903de461c7eda2a4', '64fe2e10e340ebc4', 'f1cbd0e2909c8ce7', 'a270004198eddd9b', '1849a41079039a3a', '2c0939fba79df7ad', '6a2a2ff9c392fefe', '22b1b9bebc0a0520', '4a3ff4b7939ec268', 'dbb7151643a69e0c', '0762d4d82b19cc37', '6494828a237a7a69']; context = [[50, 82], [55, 88], [165, 195], [50, 86], [3, 33], [7, 38], [109, 140], [149, 179], [40, 78], [95, 126], [2, 42], [54, 89], [156, 187], [104, 140], [3, 37], [5, 38]]; loss = 0.011111 low_pass_filter = 0.300
+Epoch 0: | | 9779/? [1:40:38<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.00train step 9780; scene = ['ae26c895abed5695', 'c03b5d44783fdafc', '90a032cca2f3549f', '2ea0130696f289c2', 'a09f861cea263471', '85dbd05a5249931d', '887a074e81e590c3', 'a295c966b22883f7', '3e00e3d2ffba3e7d', '6abe78a35109d3c1', '3d035b165731fa4b', '063cf0cd1ebf06d2', '78ac0510f29dcc4f', '95702bb71674167d', '7a26af750ba9ab8e', '8e678b31fbd4f0f7']; context = [[23, 58], [54, 89], [6, 46], [15, 51], [81, 120], [33, 72], [159, 191], [111, 148], [26, 64], [64, 98], [155, 195], [134, 171], [1, 38], [8, 47], [11, 48], [25, 58]]; loss = 0.010312 low_pass_filter = 0.300
+Epoch 0: | | 9789/? [1:40:44<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 9790; scene = ['8aad33b23262e8f3', 'f2fc0f05c9df5be3', 'f12a998cedc553f9', 'd959cfe7f662e07b', 'bf15144c156af1aa', 'bc72d42a14994709', 'd558e4281ca1d6cb', '272bac1205bc07b8', 'e1c8649e6bed74aa', '6c6fda8bc55937c9', '07474d128102d925', '2b1f5a804977a9c0', '64b2c628b9b981e0', 'dad5ebff7c618bf2', '6f21f45f8a98cd26', 'b624abcaa40a7cbb']; context = [[81, 119], [9, 40], [0, 33], [6, 36], [29, 60], [196, 228], [25, 65], [32, 64], [230, 271], [23, 53], [29, 65], [43, 77], [14, 52], [40, 71], [227, 258], [27, 67]]; loss = 0.010538 low_pass_filter = 0.300
+Epoch 0: | | 9799/? [1:40:50<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 9800; scene = ['0bfbd4e52e5beebc', '03d4213c72458935', '6c767949ba9cd00e', '6551bb0d65d43809', 'd9a139899167f274', 'dd315dbacb3d14af', 'f8e8aa4850d3463b', '64578d13c55ab20e', 'f763314077dee3f9', '3a0ea9f832ec69b1', '887c31fd60106dc4', 'e9d8314a8d2d8dc2', '343b0cc98e51610f', 'b651925fbd6adf04', '6468627058d16ef2', '62bfd0a1ecd6a33c']; context = [[8, 41], [23, 60], [3, 39], [50, 83], [22, 62], [35, 73], [3, 37], [21, 55], [203, 239], [153, 184], [209, 245], [4, 45], [130, 163], [17, 52], [54, 89], [13, 48]]; loss = 0.009680 low_pass_filter = 0.300
+Epoch 0: | | 9809/? [1:40:56<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.00train step 9810; scene = ['bedb0dffc6d80b4e', '1f4ff72d26fbd071', 'f896f057f530ebce', '12d54b02fe9d16e1', '3ceae7bf233b07e1', '568246aa43b60985', 'c2e363674f808d28', 'f77a260233eb16ba', 'c472a0ece0937100', '62aee613a1a82b79', 'b351d2c9017e65cd', '0e2c3ca96b8ff3ab', 'a1ff280651bb5e19', 'a0e36ca1c29a190f', 'a6dbe411d56e283d', 'eecf7db21e587528']; context = [[0, 35], [214, 250], [56, 87], [28, 67], [7, 43], [29, 65], [9, 43], [5, 43], [15, 52], [69, 100], [32, 65], [68, 100], [38, 73], [119, 159], [51, 89], [83, 123]]; loss = 0.010066 low_pass_filter = 0.300
+Epoch 0: | | 9819/? [1:41:02<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 9820; scene = ['9fd2226f90eab8cf', '7d2b086b7bfb58af', '949526d500c2d32e', '1fe612f2c515ebc4', '4b8a415797125131', '4dc9a7f436afff6b', '52ce0cbf5e3aa419', '2cb1e68856e68640', '321e71b0fa3a7743', '76b29d13a1a25fe4', '0b3eedee850521a5', '03f786b8eb33e189', '4686d80203cd7b26', '4970e1f83ae82834', 'a33114a79197c262', 'e1a001cc971f9549']; context = [[55, 89], [12, 47], [43, 74], [6, 42], [58, 90], [236, 275], [42, 82], [10, 43], [168, 208], [8, 38], [58, 88], [6, 44], [13, 54], [99, 135], [24, 55], [30, 63]]; loss = 0.009550 low_pass_filter = 0.300
+Epoch 0: | | 9829/? [1:41:08<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.00train step 9830; scene = ['0d523169ade73286', '7b2ab16242301c26', '9de46bb009a08fb5', '7bed3e8217b713f3', 'f2a392eaae0c105c', '7a01dc105832a420', '302b12949a8dfb69', '7d300bcf6be1f7f5', '4848cdb70cdeeb9e', '35ba3d10f027d378', '89096426f1642005', '4cfe80ef620a560b', '87b2c99d9954b736', 'f104ffb71d1a86a7', 'bf474b03f19b402c', '0c7cb5d7206b8f56']; context = [[109, 145], [29, 61], [34, 66], [56, 88], [2, 36], [43, 82], [124, 161], [18, 55], [185, 215], [20, 59], [43, 74], [89, 122], [89, 126], [7, 37], [21, 58], [98, 129]]; loss = 0.009916 low_pass_filter = 0.300
+Epoch 0: | | 9839/? [1:41:14<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.00train step 9840; scene = ['67cdb94d2911494e', 'b45542de72df7a49', 'bdff8b33200a0442', '2a91efabd709544b', '268412437e9d4613', '00c7f771cf92741a', 'b30ffcaff8599d24', 'b9af4d213b624caa', '70f118b2c78f945e', '13e9968df59dd316', '13de7469e2069270', 'fda79443837dd083', 'c97f7afd65090c33', 'bc31a831c7da94f6', '5d9af39b06a42cdd', '2cc61210378b25b5']; context = [[39, 79], [29, 63], [47, 78], [23, 64], [93, 130], [43, 77], [34, 66], [34, 66], [36, 69], [55, 96], [44, 79], [45, 86], [3, 41], [199, 229], [9, 39], [82, 114]]; loss = 0.010686 low_pass_filter = 0.300
+Epoch 0: | | 9849/? [1:41:20<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.00train step 9850; scene = ['d7b8aa8b102928ff', '33425a4e98c558b4', '33a019daeabebf46', 'bf7da55d3ef026cc', '9d73c0ab69eb6a0f', '7a20ba81fb778529', '1395aaf6dd0de7d4', '0a6ef06298ba3b4a', 'cc5279bd4e79c125', '88f0af68eabf0b4f', '50cebc64e0362f96', '826c7e44cbfc5d1a', 'c480e6dc234243a7', '7822e98d0f6f0d03', '1de58e1bb921e0c1', 'f26a68de5e50e0f2']; context = [[53, 88], [16, 46], [23, 53], [200, 238], [80, 118], [25, 58], [37, 70], [11, 41], [24, 65], [17, 58], [127, 160], [13, 44], [4, 43], [44, 81], [2, 38], [19, 59]]; loss = 0.012165 low_pass_filter = 0.300
+Epoch 0: | | 9859/? [1:41:26<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.00train step 9860; scene = ['28d5cec35a1749f7', 'dff0175065faf583', '454d8f6175cb6e11', '77f4aac23351985f', 'a3ce7bf7b8f862c6', 'dbca37f95c1d9d32', '6bb52911445f6e72', '1e86433c39f63398', '4748781f185e7376', 'ab0359882518850e', '8ae0299aa56c8f65', 'a5a37b8b2a392e23', '957adb04562c2656', 'cff80a18cb02c366', '25abb33f977bf810', '393cad5031f75f17']; context = [[40, 74], [13, 46], [4, 42], [17, 51], [129, 160], [51, 83], [4, 40], [101, 140], [38, 79], [6, 36], [48, 85], [190, 230], [86, 120], [57, 97], [18, 54], [62, 102]]; loss = 0.009255 low_pass_filter = 0.300
+Epoch 0: | | 9869/? [1:41:32<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 9870; scene = ['aead594134900395', '3df018bfa7d321c5', '7f9be765fc88ada1', '376a6730c79c8ed5', '30690a825a09d9b9', '517ab66f42f47693', '6f9bdb77b6ce8e74', '7ffc2c8f306ead78', 'c2c4a91bbabf2d59', 'fbe8be1f434b7471', '1147f33298fe1164', 'b3263bb9262606c2', '3dbcad1eebd8c8a7', '29c107478a356315', '9a1d44db3a25db6e', '86ad7073445c5301']; context = [[86, 122], [184, 224], [38, 75], [3, 39], [16, 47], [82, 119], [10, 46], [105, 145], [34, 71], [111, 149], [204, 244], [1, 42], [100, 130], [50, 82], [83, 121], [0, 33]]; loss = 0.012082 low_pass_filter = 0.300
+Epoch 0: | | 9879/? [1:41:38<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 9880; scene = ['f22bffdad4d6241c', 'deaa81a6b3573224', '62ef70041034583e', '70076cec70524e8b', '1260699ecb39ea13', 'b9aaf2719970d409', '00761c6dcec91853', 'a2b310636a3c8cd4', '67d5829158318fb3', 'f74bf752047c4a71', '881f4e6f9198afcf', '872c7890f41508b4', '9f2953eb6ba40d02', '29c266ed5d1dd889', '3b5d67521155f9cb', 'a0114e2b6cd504bd']; context = [[6, 46], [15, 47], [1, 36], [44, 79], [58, 92], [82, 116], [36, 74], [36, 76], [20, 59], [24, 55], [167, 206], [121, 151], [0, 32], [144, 181], [52, 86], [180, 222]]; loss = 0.008271 low_pass_filter = 0.300
+Epoch 0: | | 9889/? [1:41:44<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.00train step 9890; scene = ['7a9e2a1db5d0c45b', 'e7f820327fa7287a', 'b399dfbf864d3076', '45881f9f6f662df4', '2b00682d03aed4d2', 'e13d24cb77bd5842', '57b1333abbaea573', 'cef0e0c190ab9fb1', 'abfde28699b30961', 'd279c22ea49ca769', '1a59f8c89ca44487', 'd128e1f7a2e15ce7', 'd5773b15ed7b3bb0', 'f94fceb720e0f573', '3bebab9bf5b0dabb', '5419356104651133']; context = [[115, 151], [6, 43], [63, 97], [36, 73], [20, 55], [52, 94], [6, 36], [38, 80], [24, 61], [71, 110], [6, 39], [0, 32], [44, 83], [69, 110], [170, 207], [2, 41]]; loss = 0.014663 low_pass_filter = 0.300
+Epoch 0: | | 9899/? [1:41:50<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.00train step 9900; scene = ['b9ec2a6854380d1e', '4f5db81a0512d6d7', 'dfc565de14347c7a', '04d3e9038d34044c', '7f4f4c36b99de675', '37a3d41fc23257eb', '7beddbbec9bd694f', '4f86ac7e62ca274d', '0cdc9f502aa44e19', 'cd4669d9dc27e76c', '28d93545e3cd611f', '53ffb9c8d3fa4e6f', 'aa5c0363444a9aa9', 'd814de9932daf6b5', '32fa2f64dfaacf21', '90cd35aca00fdde3']; context = [[61, 92], [16, 49], [14, 55], [22, 52], [17, 49], [6, 41], [61, 92], [23, 53], [7, 39], [23, 64], [89, 123], [62, 96], [8, 49], [40, 72], [75, 113], [143, 182]]; loss = 0.012542 low_pass_filter = 0.300
+Epoch 0: | | 9909/? [1:41:56<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.00train step 9910; scene = ['e1213b82a155e7b8', '52fc7c5cf52e9927', '85aeab205d5c7e66', '02c96bc459a5f9ba', '0a01275bf1cc1246', '1d3e63a80a712914', 'eefb1b0935312711', '040b6137d21c580b', 'f7a49680ebfc586b', '35490369d093854c', '45e76a3def23beb6', 'eb6d7b709dc9794e', '3f65b48edee5d46e', '48e471ff8e04710d', '4bb27aeb5837c556', 'a7b83f26d25f8780']; context = [[11, 43], [10, 40], [101, 135], [15, 47], [22, 55], [139, 174], [35, 75], [43, 74], [46, 83], [21, 58], [147, 188], [175, 212], [14, 47], [31, 65], [52, 86], [127, 164]]; loss = 0.009015 low_pass_filter = 0.300
+Epoch 0: | | 9919/? [1:42:02<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 9920; scene = ['93fac9602a1702de', '86ddb8cd0b6f0741', 'b5ad3c2c360db727', '4700b4a628c6131b', 'e78668ecd87257dc', 'b7cc7c503b10b878', '45677926c908e6e5', '4fd26cdcd92cc984', 'ce81fbe67b6d91f7', 'd3416f0ed06a7ad7', '3b4f5b58eaa9e909', '165d9989e76cd538', '8db206b0faa1b032', '0e6408e3cf54fcbf', '5c0ebf927a51f486', '926ea8590afa806d']; context = [[29, 61], [0, 38], [53, 87], [73, 107], [33, 75], [18, 49], [31, 64], [13, 49], [38, 76], [7, 42], [18, 58], [186, 216], [1, 31], [0, 34], [1, 33], [118, 156]]; loss = 0.013820 low_pass_filter = 0.300
+Epoch 0: | | 9929/? [1:42:09<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.00train step 9930; scene = ['451c76fc9212f2cf', 'b71c6ef47553b7d4', '60d5111563a11aac', 'df282617d57f50a3', '75f9d1ec42531cec', 'd70a06a906f89de1', 'a9b48b6f3bc587ce', '8ae172ea64e32946', 'fa1264269f894875', '8be094c68b68576b', '7f0bf05afcfa7e6a', '9df4b5bc5499199a', 'ed5df817a5478d50', '1e2dc0f8513042ec', '13e3fa5e0bbe710a', 'ac85688b29e3bdad']; context = [[17, 56], [121, 151], [48, 86], [13, 51], [190, 229], [3, 35], [4, 35], [49, 85], [58, 96], [31, 63], [112, 152], [46, 87], [1, 35], [20, 51], [69, 103], [21, 53]]; loss = 0.010220 low_pass_filter = 0.300
+Epoch 0: | | 9939/? [1:42:15<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.00train step 9940; scene = ['15e5559d6bf884be', '94fcba8ce2cdc5f2', '57fe6fafb7acb801', '3c14d04df113da24', '341602ce1687140e', '4f5af60e4c54afa8', 'cbdad10abcc885e5', 'd78557c55e24d7c3', '20f4bf16c091cdb0', '911f605340053f93', 'e5aac76beaf7a0cd', '6fce0005228600cf', 'c8eec59d2fd27bc7', 'd2ef3a33cbe4626b', '37de3df2a5fe9be2', '28289a1404a1fffc']; context = [[95, 135], [25, 64], [26, 58], [21, 52], [150, 187], [9, 51], [170, 210], [166, 206], [1, 35], [0, 31], [1, 35], [3, 34], [90, 128], [48, 82], [5, 37], [124, 155]]; loss = 0.009363 low_pass_filter = 0.300
+Epoch 0: | | 9949/? [1:42:21<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.00train step 9950; scene = ['9e16686cff67cab1', '90c5b3052fd20e29', '2e3fba29b0ef9eb8', 'f7fc315b2c2ab371', '13e3f8416df0e4a5', '5cfa9a2995f6c3e5', '8b634dd80fe44d1d', '4ca19f3a5dea6391', '8dcb65a86df04796', '7697b3c244fd6d78', 'f4e2ad73e8e71b41', 'a6ac9800e1612d7b', '4fb7456109baffbd', 'bda52ecfcef87a70', 'f4169cc065e23946', '2e6a0cbdbcf21085']; context = [[23, 55], [70, 108], [18, 57], [48, 81], [36, 68], [4, 38], [204, 244], [10, 41], [39, 74], [13, 45], [2, 38], [41, 74], [41, 74], [14, 52], [42, 84], [51, 81]]; loss = 0.010145 low_pass_filter = 0.300
+Epoch 0: | | 9959/? [1:42:27<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.00train step 9960; scene = ['2db9f0491f5426e5', 'b2f344283c15005d', '8b33508d134238c0', '14cb2375e73a3bb2', '3a76f3143a76e29c', 'baafa2f6e960e2e1', '8c495b5341bc069d', '427f46e02cb986fe', '1e77bbf67bedbe2a', '58b1d2b874df8f6c', '0a8557008fd55c9d', '2cea12f37e8aff39', 'a3fb8e5afd05a541', '9bc4789064dd12a2', 'b733bb0772db7fed', 'dc4642c413a86efc']; context = [[1, 39], [3, 45], [35, 71], [104, 135], [11, 51], [10, 49], [16, 46], [1, 40], [0, 32], [8, 50], [94, 128], [63, 100], [21, 60], [16, 52], [74, 108], [19, 56]]; loss = 0.008454 low_pass_filter = 0.300
+Epoch 0: | | 9969/? [1:42:33<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.00train step 9970; scene = ['595a49693a902524', 'b438e71fc71a3e83', '47574b6b30aa47aa', '4aab38e2291002e2', '1466acc0fa317181', '3bd7a1c47b1b1643', '0b963fdcecb63487', '81e928bad764a5aa', 'd8a7542a8fa1663e', '67cf459986d45ea4', 'dbc26a0b15244145', '54acac64824de66c', 'e5bc10fc377c52e5', '4375d4fb9e407419', 'bbf7ebb5b844c6b8', 'bc8622b3fb602185']; context = [[8, 42], [70, 103], [19, 51], [103, 134], [8, 43], [36, 77], [148, 182], [96, 136], [55, 90], [58, 97], [3, 42], [22, 52], [27, 60], [18, 55], [29, 68], [106, 140]]; loss = 0.010801 low_pass_filter = 0.300
+Epoch 0: | | 9979/? [1:42:39<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.00train step 9980; scene = ['a09f861cea263471', 'a295c966b22883f7', '063cf0cd1ebf06d2', '85dbd05a5249931d', '2ea0130696f289c2', '3e00e3d2ffba3e7d', '3d035b165731fa4b', '01e4bd13a70c49ac', 'f5ac33bf99394312', 'bf2b8a204cdeb69f', '1d035bb092fa4113', '27d205da1f0f929c', '5da7fa4de4cc06e1', '7d7c1a7a22f3cb5b', 'fe29e91e88463528', '2e2bf237c3cc7aff']; context = [[37, 76], [117, 159], [149, 185], [22, 54], [29, 69], [162, 196], [150, 191], [15, 47], [62, 93], [181, 215], [10, 46], [6, 45], [8, 38], [51, 84], [160, 200], [13, 46]]; loss = 0.011264 low_pass_filter = 0.300
+Epoch 0: | | 9989/? [1:42:45<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.00train step 9990; scene = ['b6165abe3377faed', 'b480cb50d296f7ed', 'e5c83a76c5376846', '996373487155cb87', '59db387883f92945', '856cc0ade40a1c89', 'e390cddc191190ef', '44d8cb6fbc7d70cd', '3e10a47a93c8fef0', 'ea34ca9533790620', '3823c18cbc7012e5', '5058a979977a4184', 'd310ae67e900586d', '4f5f5fc918464b4c', '94662e1320792336', 'd9f535c4c69d09e1']; context = [[0, 31], [22, 54], [102, 136], [47, 82], [235, 275], [16, 54], [24, 60], [32, 70], [78, 119], [34, 67], [3, 40], [30, 71], [11, 51], [89, 119], [40, 74], [68, 105]]; loss = 0.012744 low_pass_filter = 0.300
+Epoch 0: | | 9999/? [1:42:51<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.00train step 10000; scene = ['b0dbf60f56f2a965', '9581703df313bac5', '15d92c198f64d235', 'd7ca3f1781fcc191', '05e080187c9b0d74', '8fcff3cd031b4ff4', 'e3c04c200b8cd9ef', '28c3c356d03fafd9', 'e113005fe37132e4', '7e5b418ccd14e32a', '210c8a7a9d409024', '1e3071384cdeaa3e', 'e12ccd28d49f666d', '9ba0f4168b2d242a', 'fef14a80de510898', 'eeb7b882f1c6ef45']; context = [[61, 103], [52, 94], [120, 150], [33, 66], [19, 50], [142, 181], [33, 65], [58, 97], [45, 85], [46, 80], [94, 134], [45, 78], [30, 66], [22, 64], [36, 72], [60, 98]]; loss = 0.012391 low_pass_filter = 0.300
+Epoch 0: | | 10000/? [1:42:51<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0validation step 10000; scene = ['be75142d4652fe3e']; context = [[178, 213]]
+Epoch 0: | | 10009/? [1:42:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 10010; scene = ['d751cbf65f8a1ff1', '1bb273edf1201743', '39f2d7aa4302fcf7', '1e17a9ea040d034c', 'f23ae001046f1119', '5778a7995f5faebf', '75ab031f87d75cde', 'd074517a27f42b13', '9af3593da4c1d27a', '9a1aaf5f24aa2a5e', 'ff28a57154e30bd3', '8e2322cd777dd1d3', '2560583c1c055283', '2e83f434f6fd8d6a', 'f3b2c02f309d6712', 'a39048679f06dbb4']; context = [[184, 221], [35, 72], [90, 125], [15, 55], [65, 95], [28, 61], [20, 50], [28, 62], [236, 273], [2, 35], [19, 59], [0, 39], [20, 57], [10, 41], [64, 99], [41, 78]]; loss = 0.010209 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 10019/? [1:43:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 10020; scene = ['be0f77ad0082e93e', '174ebd189316bd92', '22ca9bcb40ef523f', 'db6cd90de8fee2ff', 'da9ece76d1c9d94e', 'f8532bb5eca0e29d', '12f1a55c604c66b0', 'b703bdb45d172fe7', '0087cf27aa9e6167', '2629da604e80913f', '70c56631eef0de6e', '2c233ea19f5a5f34', '25280e32ba676f03', '0d8e5289e56244c4', 'abca120df6b75dbe', '5150534a7080bbe1']; context = [[215, 247], [20, 54], [30, 70], [89, 123], [10, 48], [10, 41], [125, 164], [11, 47], [10, 41], [22, 54], [13, 45], [43, 78], [13, 54], [119, 156], [236, 274], [43, 84]]; loss = 0.009324 low_pass_filter = 0.300
+Epoch 0: | | 10029/? [1:43:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 10030; scene = ['0f9b44ae51221943', '66b694fe836f9b02', 'd4869181c5a419d1', 'e088974b4405f213', 'a6d4934af5490d5e', '10e2fe472b780e8a', '32122cac3c13a456', '1b38fcd0ef3221ba', 'f61bc3eb312efcc4', 'e88c42ff2e168169', 'ea63941da20c6569', '696ee987af4ac6d0', 'bd4dc5d69a124ae4', '638b7d88c6bb21c7', '556029de0ce24896', 'db8279c362130b0e']; context = [[49, 84], [1, 32], [14, 54], [75, 113], [4, 46], [36, 72], [108, 140], [0, 30], [72, 109], [23, 56], [9, 51], [102, 136], [6, 42], [0, 42], [82, 123], [164, 194]]; loss = 0.009926 low_pass_filter = 0.300
+Epoch 0: | | 10039/? [1:43:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 10040; scene = ['859c9f522a98c5c3', '810baf013fd27f1d', 'af70bb56689e4028', '962ab4451c30479a', 'f83541c6c3766a70', 'd18c658cacb360e7', '1d5beb41beda4af6', '215aa6a4d48d04f7', '40e1ec4d9aa2c2c5', '0b0f20dd486b208a', 'c043b0c770a81f04', 'f5729c1f4eee619c', '867c2bb5fab7a6bb', '7e5756871781609d', '25b0f2dc07ebe855', 'a7ced7f8944eb3ac']; context = [[23, 64], [83, 117], [4, 40], [181, 217], [24, 63], [60, 93], [66, 103], [19, 60], [4, 36], [72, 102], [13, 53], [6, 45], [56, 96], [37, 72], [31, 70], [41, 74]]; loss = 0.008959 low_pass_filter = 0.300
+Epoch 0: | | 10049/? [1:43:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 10050; scene = ['1cff69e73b827bcb', '3a06d7ebb3cb5341', '9954c518245b7322', 'cf91287a73911ff5', '164e9587927eb0e9', '0ed741df4437c6ba', '8e1c0bc2d1f32fb0', 'd3af8e3b7f354487', '2ef0eef67b3b538b', 'd8d4e90e182baafb', 'db04d7442f7d6ef8', '0bccdf22914e2e83', '9fb5aabc62027f6a', '11269147bec6282b', '2353677596fbfd46', '3bf0650c715187ab']; context = [[19, 59], [13, 47], [19, 57], [74, 110], [64, 102], [15, 56], [7, 47], [149, 182], [20, 53], [32, 71], [61, 98], [212, 244], [47, 88], [140, 171], [22, 59], [36, 68]]; loss = 0.011332 low_pass_filter = 0.300
+Epoch 0: | | 10059/? [1:43:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 10060; scene = ['b82600c38de99d99', '656455571d1a56b5', '55ff32060bfc093d', '109b0c162bd046b5', 'af0c52c341b5890e', '3b0242b4bad31b9a', 'e5600b21d39ad14c', 'b24d544fda152e5a', '49332a47b7d84230', '84b45eaab0e1a392', 'b5ad26a8022c7109', '3c11cee85e2aa1db', 'eabad2d95553d207', '40ebc8fc8a219332', '397d81341a671bab', '732ecefd2b499986']; context = [[3, 43], [27, 59], [184, 222], [4, 44], [1, 40], [93, 134], [26, 60], [91, 133], [49, 84], [68, 100], [23, 60], [25, 62], [32, 62], [48, 86], [1, 42], [48, 80]]; loss = 0.011612 low_pass_filter = 0.300
+Epoch 0: | | 10069/? [1:43:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 10070; scene = ['8033aa6c2010ee73', '31bb52556c508299', '8a97f4f0954bda5b', '57925ea5b7531821', 'd775362664f1f768', 'f4b87c8ce7b815f4', '116d93103a2aa3b0', 'ca0b63e3f13cd7f0', '63c3d74c9f4ec264', '75a8c6b3cfd92eb8', '8c08d0f4c0dfc8a6', '86d1360e786d5674', '37273e37a2c3573f', '7afc07b02ee54c79', '6b49b064dfdce852', 'de012df6e6222077']; context = [[7, 43], [65, 103], [8, 50], [202, 240], [54, 87], [179, 220], [161, 201], [41, 81], [113, 147], [150, 191], [59, 98], [4, 42], [19, 52], [30, 71], [48, 79], [25, 58]]; loss = 0.009103 low_pass_filter = 0.300
+Epoch 0: | | 10079/? [1:43:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 10080; scene = ['76e4818391c788ea', '774362c41a2ecf5f', '9cb8cfd4c82730ed', 'd4c21b21fa236269', 'd0bfa2fc0c632563', '74812f0d1efedf41', '8bc37f0e5297a486', 'abd71f81b292d209', '5f3e924963ab36c4', 'f3dcced9d38fa6c1', '3e0aff49cbabd07a', '6e39991f48d99673', '48d50fa60bf26802', 'a5d20dc4aee7e64e', 'd9da7b0337345d3b', '8d07885c4025b4af']; context = [[59, 99], [56, 94], [3, 33], [86, 117], [113, 155], [85, 127], [27, 67], [35, 68], [10, 42], [20, 57], [15, 52], [112, 148], [42, 73], [23, 53], [85, 120], [126, 167]]; loss = 0.009756 low_pass_filter = 0.300
+Epoch 0: | | 10089/? [1:43:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 10090; scene = ['dd51e3825fb8400a', '66180223abaebc13', 'd550977e6ab72e54', 'c0cd96efb97299af', '29eb7537903248df', 'e125136b4495509a', 'f0ec6fde32d852f4', 'f7e299ca7ccbc897', '47261f4c960af669', '645a8988ce8fde03', '865f1084bb5394ac', '4de4d4cc91401422', '6f18dd963f7b02bc', 'ef4927a8829c2ba3', '3cb0a62af12e4bfe', '43728f475156cab6']; context = [[48, 84], [29, 65], [39, 73], [34, 65], [20, 61], [112, 150], [199, 231], [46, 83], [134, 171], [15, 53], [40, 79], [200, 234], [35, 72], [40, 74], [13, 51], [37, 74]]; loss = 0.011872 low_pass_filter = 0.300
+Epoch 0: | | 10099/? [1:43:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 10100; scene = ['f19b7c0f5aa40c31', '53c8ed7e5b5a87b1', '50ed74eb3943626e', 'c64ea38f6d3f6b4c', '81f004ba91540bed', 'ee23a3b386446cf6', '4ba7c242598f2e10', 'bb77afae1b2a488b', 'c634b4875dcf3f5a', 'c589be27060ee4a9', '0b4af1af6191e8c7', 'bc1160f12c4596f8', '5bb9e306c47d8970', '79b877514f557da0', '7d38125600bbb7dd', 'e1ea79f6e06eb4f4']; context = [[37, 70], [9, 43], [4, 45], [188, 219], [8, 45], [4, 42], [0, 41], [18, 48], [91, 121], [14, 50], [34, 72], [30, 66], [64, 94], [80, 114], [118, 148], [76, 118]]; loss = 0.012366 low_pass_filter = 0.300
+Epoch 0: | | 10109/? [1:43:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 10110; scene = ['650c97a5d26d16fd', '0ba513fbd074377d', 'f2e6470ad27f495d', 'a3abe0c419b12a6d', 'bad9d8fce9a88d31', 'a9319dee9251ebe6', '59d453d9a3928400', 'df3eace7286b16ff', 'aa15eccd1181530f', 'c8148ee0bb6e2bd4', 'c5a40c581d0b636c', 'a220fcb74c49b472', '6251bea5d95b50ee', '58fa6e49067e669d', '992bd4de19972ec8', '4523f9d14663bd9d']; context = [[195, 231], [10, 41], [95, 127], [154, 194], [79, 121], [95, 132], [1, 43], [55, 87], [23, 58], [106, 145], [8, 50], [77, 111], [12, 50], [5, 46], [16, 49], [49, 88]]; loss = 0.009698 low_pass_filter = 0.300
+Epoch 0: | | 10119/? [1:44:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 10120; scene = ['cf14d94f41c6e825', 'd159debd3f3ac5ec', '12fa5b60a2ba9d8f', '9296168b518b720b', 'f67ee51c76a6aa33', '6bb71ae77f76b7ef', '941a34a5fe903815', '547a595ec6671f74', 'bae66b8175d11647', '7d2242665e3a666f', '8290c21ca69361ec', 'bbd22864c2c8c4e0', '977e0053ae47e056', 'c6e7d2560cc98ddf', 'a557bfdcbd9558f7', '6359caddc3e33c77']; context = [[22, 59], [207, 246], [26, 67], [73, 115], [17, 53], [55, 88], [60, 93], [16, 57], [9, 41], [129, 171], [81, 122], [111, 144], [72, 109], [8, 46], [15, 55], [1, 40]]; loss = 0.010749 low_pass_filter = 0.300
+Epoch 0: | | 10129/? [1:44:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 10130; scene = ['da3a7d1f910a33c0', '026392b9abf82eb3', '64cc6af0c7229fb1', '568ae0add45d8ede', '83aea888bc500502', '7dc6d699abce873e', 'a57b68e727904b76', '7c8c185289523ea9', '946597adeb926d39', '6f23f69c381954e4', 'de783427084a7fc8', '1571604512ea65cc', '0b3211726fbabaa7', '58e4213c6d697774', '9a26558db223b906', '5dc6293c22fc8e52']; context = [[62, 99], [160, 201], [69, 107], [88, 123], [4, 45], [6, 44], [140, 179], [36, 66], [8, 48], [12, 45], [10, 40], [33, 73], [20, 62], [1, 37], [77, 119], [12, 45]]; loss = 0.010901 low_pass_filter = 0.300
+Epoch 0: | | 10139/? [1:44:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 10140; scene = ['cde93f65c4100d6d', '9fa7b7f29fe6c2fd', 'db4ec9038ac73682', '94e45c6e564caba1', '8fdabc1f0f3ac8eb', 'a2cdc40a197f913a', '9df5c1cb188a6550', '37fa9f636f4ade27', '5b7ab1a8989e1729', '3eb10f91b03318e2', '214eeca1d9687332', '4001bca52ac28925', '011a1765540790d6', 'd95573ce88bcad09', 'b1a0a95f2b59cf25', '9c04b2fd1b51976e']; context = [[13, 52], [158, 189], [12, 49], [19, 52], [121, 153], [69, 105], [26, 65], [30, 68], [8, 50], [85, 124], [177, 211], [32, 63], [35, 72], [35, 69], [10, 51], [10, 50]]; loss = 0.008136 low_pass_filter = 0.300
+Epoch 0: | | 10149/? [1:44:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 10150; scene = ['17b8b7257c104ad8', '10a6ea4d69a2134e', '4b73003325566332', 'c0ea1e538c691ab1', '09211f0cadc25024', 'a13c0e49a8eb99ca', 'bb549eb9f03846ec', '6591d9b1d5cbe20e', 'd7ca1248e911d391', '884d301a8603ad01', '2716f75acfcbbca2', '380f9a592d8829b9', 'fd5c8beb94f9eab4', '276126a691c32f42', '39bb3dcd73cc5cef', '6c5f5f8e45448ee9']; context = [[4, 35], [123, 157], [2, 34], [130, 167], [49, 85], [149, 189], [54, 88], [22, 52], [42, 80], [168, 206], [2, 35], [149, 180], [119, 156], [98, 135], [35, 67], [164, 202]]; loss = 0.009798 low_pass_filter = 0.300
+Epoch 0: | | 10159/? [1:44:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 10160; scene = ['1a98c811762bdead', '2a2334b39a65d2aa', 'aca30770bf5b5ac5', 'bf202c2307040974', '9755ef79f64c2805', 'acffd6c013609d84', 'e125136b4495509a', 'c0cd96efb97299af', '47261f4c960af669', '29eb7537903248df', 'f7e299ca7ccbc897', 'd550977e6ab72e54', '865f1084bb5394ac', '4de4d4cc91401422', '645a8988ce8fde03', 'f0ec6fde32d852f4']; context = [[166, 199], [38, 72], [239, 278], [204, 239], [37, 68], [59, 92], [1, 35], [31, 64], [19, 61], [4, 36], [39, 70], [98, 129], [27, 58], [130, 172], [12, 50], [124, 166]]; loss = 0.010021 low_pass_filter = 0.300
+Epoch 0: | | 10169/? [1:44:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 10170; scene = ['de764d0866fd6579', '9b48f28a886221dc', '329bdbc0098c68d5', '6e5b881edbc8853a', 'a33629c64ce117d4', '834119d6d119fe85', '784a7e6869056799', '16b4e82873823f23', '03006bb797c50398', '1451d07ad44cb6de', 'f949e83df942d2b9', 'ab575a725ad6929f', 'b109cf8edb8b0a43', '55bcb8bc3179a0da', '013e344bb17fb03e', '23640056e4b21902']; context = [[137, 170], [17, 57], [11, 42], [183, 218], [55, 86], [69, 106], [34, 69], [240, 273], [36, 78], [0, 31], [127, 158], [15, 53], [54, 95], [29, 69], [70, 112], [39, 72]]; loss = 0.010074 low_pass_filter = 0.300
+Epoch 0: | | 10179/? [1:44:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 10180; scene = ['8468c4228e3215ed', '76bedcb696ccbc7a', '540656c16216364d', '3d11abcfd05f507c', '630027801891d158', '5193a7aee466495c', '63af9885dcfadd96', 'dc4cde40cb53c448', '558e6d3b43990261', 'b20b69d74585d878', '10cc7bb061605d57', '741157d815e33610', '6df3bba71999762d', 'e2dd04a765274f4c', '203c06b60999429a', '4bd0d8b0f8411adc']; context = [[30, 62], [5, 38], [11, 51], [161, 191], [15, 51], [26, 68], [57, 87], [66, 103], [52, 82], [3, 37], [29, 65], [14, 55], [88, 129], [12, 51], [2, 32], [87, 119]]; loss = 0.012354 low_pass_filter = 0.300
+Epoch 0: | | 10189/? [1:44:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 10190; scene = ['36dbde23c0348a09', '3c76267fb0f773af', 'd48ae6a3fe44480b', '2cf0d1a531e44b1b', '37ab2b25da67703c', '7e8537b839206e01', '9ccc5cde64915693', 'ef95f2ebf8d94504', '97678ecce804cddc', '117732838b184c06', 'cdd97f2cdbd2c0ed', '5a0b9f8214689a94', '9193202777c91537', '931908e2ab43850d', '0ae05277b9b679bf', 'ec3c2ed561eebeaf']; context = [[15, 57], [36, 73], [19, 59], [1, 42], [17, 57], [89, 127], [96, 138], [184, 219], [7, 45], [20, 62], [9, 49], [3, 42], [0, 30], [19, 55], [71, 111], [155, 185]]; loss = 0.010781 low_pass_filter = 0.300
+Epoch 0: | | 10199/? [1:44:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 10200; scene = ['678d8464781a3de2', '7636a120c2dfd672', 'cf0209e7acde8329', '17e071f027c54b55', 'fcf74e68c2678dda', '66a04a4a5584e611', 'd261d26a10a93975', 'aaff3ba252aa4421', '6f72032f93d39fef', '3bb404adfcc380b0', 'c798126c9e920dcc', 'c3bc207f4af7ad46', '03d4ce90615f67c8', '7263addf40e8648d', '4b91e3d10a227be5', '6310e828b3588296']; context = [[45, 75], [18, 52], [11, 42], [59, 91], [23, 63], [244, 278], [16, 54], [4, 34], [53, 93], [36, 71], [6, 45], [9, 50], [124, 160], [10, 41], [158, 196], [50, 87]]; loss = 0.015831 low_pass_filter = 0.300
+Epoch 0: | | 10209/? [1:44:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 10210; scene = ['9a94cb2780659501', '2cb9c3437f7c49ee', '8d8164bd77101795', '55084c27914f79a1', '8bd6ffe4d866a42c', 'c3e041844bcd2ac6', 'e4b218e0985bc272', 'c3a0867c16fcd9fe', '116d93103a2aa3b0', '63c3d74c9f4ec264', 'd775362664f1f768', '75a8c6b3cfd92eb8', '57925ea5b7531821', 'ca0b63e3f13cd7f0', 'f4b87c8ce7b815f4', '8fb8882b02bc63aa']; context = [[78, 113], [145, 185], [20, 57], [60, 97], [145, 185], [8, 45], [82, 119], [22, 56], [69, 110], [223, 263], [22, 60], [234, 276], [227, 268], [74, 112], [162, 194], [209, 248]]; loss = 0.009999 low_pass_filter = 0.300
+Epoch 0: | | 10219/? [1:45:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 10220; scene = ['7c7e433716dbf8c9', '18eb65c4b5041a1d', '9b226bab17ff4cda', 'd331b5cc6afb6831', 'af427a905add98c3', '6e671f2213e723e3', '344c830b21870a79', '53c0505255ce7322', '7a75e735a35dad9d', '16fccc4a79f5d064', '80cd3bcbc1be5c9f', 'e72d26f6d354ec4d', '6e6fcfeacf855c0a', 'b963ab9d26b8da09', '8ce724e52ff6c826', 'ed3fb93bc5efc6c0']; context = [[229, 261], [17, 54], [3, 40], [50, 91], [2, 42], [190, 231], [6, 39], [50, 90], [43, 85], [18, 58], [40, 78], [14, 54], [42, 74], [55, 85], [7, 48], [0, 34]]; loss = 0.009274 low_pass_filter = 0.300
+Epoch 0: | | 10229/? [1:45:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 10230; scene = ['b54e57f20266a160', '881ecf84092af313', '3b4b06583ef8afc2', 'f09c5284e9c8c3c3', '1422cf3f2e02e72d', '4a63bd178446f4ee', '123a3de028d195f2', '5297fe0742137263', '0334648106e83ec1', '873445dc458ee3c1', '5d8c9450d32f7b02', '6beda690af8e6ca0', '1f8f3b58359c4a41', 'cae3b538e278db71', '7e1983cedab832bf', '5ff2a11b44e04f20']; context = [[4, 35], [2, 41], [14, 56], [67, 107], [40, 74], [209, 245], [4, 39], [88, 123], [43, 78], [1, 35], [1, 37], [45, 85], [7, 40], [2, 35], [42, 80], [86, 127]]; loss = 0.010124 low_pass_filter = 0.300
+Epoch 0: | | 10239/? [1:45:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 10240; scene = ['47d8f4be2be93a36', 'd23c63fc810f3d43', 'c3f121951504f029', 'f6ed403d51c084b2', 'f279ee0ac940c8f9', '87859560d110e619', 'a79878c670ca903f', 'f04708b15586fceb', '047e7dfc69533d85', '09f5ce489b61a6cc', 'e94399e61cdc8ee7', '6a2b388246b639d3', 'bd4c297469c2bc4f', '9e732e959082a6c4', '896a196ed2982af4', 'e381359e340285d0']; context = [[99, 136], [13, 46], [109, 149], [38, 72], [46, 77], [124, 156], [1, 31], [7, 46], [42, 75], [64, 101], [105, 140], [68, 104], [1, 41], [15, 45], [97, 131], [143, 178]]; loss = 0.010773 low_pass_filter = 0.300
+Epoch 0: | | 10249/? [1:45:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 10250; scene = ['69527b537b77e803', 'e71b3880b9c83ebb', '6bf7ab3fde3c1c14', 'de96cee44a164178', '70db603854f2299a', '0f9f0dbe244926f1', '75f1e3480cb011a2', 'fa45ba8993573358', 'f1e4898999cd9c1b', 'bf6ebb3bde3ab2e7', '3e0141cf661e700b', '24405bbc599acf26', 'c60772b5e4c787e0', '35744d288cdbb90e', 'a2132eb3ce0e461e', '79ddb9fcd6523d4e']; context = [[163, 203], [129, 166], [70, 106], [74, 115], [53, 90], [58, 99], [13, 55], [48, 83], [16, 52], [17, 49], [42, 75], [4, 37], [206, 237], [16, 48], [16, 52], [88, 125]]; loss = 0.011984 low_pass_filter = 0.300
+Epoch 0: | | 10259/? [1:45:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 10260; scene = ['fa77a863c2da0ea1', '8d3e4e77a45e967e', 'a6c66d8633b83c04', 'b2b502239affc312', '8b3902074e71704e', '7989113a25b74a5a', 'bf281c3beca8dcda', 'c6f4c3aa65a88c5f', '2dda31ef21375bcc', '55c9115b95dff916', 'dfec7dc54f83b108', 'acea14505d17a1a8', 'ba0dc746d711489f', '2cb87ab4ecc3c9ac', '5bd7b2cebf4a5e0f', 'a108bc62b80a0c93']; context = [[80, 110], [0, 30], [10, 41], [69, 105], [2, 43], [23, 61], [23, 64], [160, 202], [61, 93], [164, 198], [73, 111], [1, 38], [75, 114], [173, 207], [32, 66], [1, 32]]; loss = 0.011260 low_pass_filter = 0.300
+Epoch 0: | | 10269/? [1:45:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 10270; scene = ['3223635c785c9718', 'dd9bed08c152554c', '211ba20868a52208', '57e607bc8cd5d233', '435fe174264697a6', 'b0786461195f8d3b', 'c9778c0cbfd3c636', '7338e91f9be1db76', '13c1f831aaca856b', '07b8aa2dc7635b2f', '346ed616472bc400', '8a7332b3e4799e7b', '786fc7cc50193aa7', '6bf93a0798a3896b', 'd7742c4bef777835', '4a39d045c20fea1d']; context = [[52, 91], [27, 60], [12, 54], [22, 63], [108, 150], [90, 132], [17, 47], [20, 59], [110, 140], [11, 49], [125, 163], [55, 91], [3, 44], [29, 59], [14, 56], [31, 67]]; loss = 0.012203 low_pass_filter = 0.300
+Epoch 0: | | 10279/? [1:45:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 10280; scene = ['3670d3f2b5b53c15', '3d7f5076c683cc80', 'd27399ddbb98483c', 'b3c96d2c36c94425', 'b2a77d5fd2f6f773', '9095922ae071f31a', '1f2fe0d464f61de0', 'bcfb6fd4173ca1ef', 'bcbd422c5506815b', '13c1203193cd28c1', 'cd552e321923c4b2', 'f4e639c0c0c58d2f', '70433ba7c4f514ba', 'fc6cc5edd65440c8', '369e9677f8dfcfb5', 'e9dbcf860ebe7595']; context = [[47, 89], [88, 129], [94, 131], [139, 181], [17, 47], [29, 65], [39, 69], [62, 95], [20, 51], [64, 100], [185, 223], [6, 38], [26, 68], [104, 143], [72, 103], [42, 82]]; loss = 0.014508 low_pass_filter = 0.300
+Epoch 0: | | 10289/? [1:45:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 10290; scene = ['aea2977e5487333f', 'a6b4036e18b1726d', '31512ab7aa4486d9', '1ee2636c55442015', '8cd1fe5c1d816c1b', 'd523e761452a2ad6', 'bd9a045455201b8a', 'ae5e5dbd9e20ddf5', 'a9f713f9f59fe399', 'dc5fd47e44137f59', 'ea4dcc3cbc027917', '6e4d322827dbfe13', 'df05970fd15dc7ea', '48fbc623ea9e82c9', '97d29bd86a6ef279', 'b9c81998d729a211']; context = [[111, 147], [4, 35], [59, 89], [7, 46], [90, 120], [7, 47], [129, 162], [31, 64], [3, 37], [169, 200], [88, 118], [16, 47], [79, 111], [124, 166], [58, 89], [38, 77]]; loss = 0.011323 low_pass_filter = 0.300
+Epoch 0: | | 10299/? [1:45:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 10300; scene = ['78d73817c622b1c1', '9781be61f9af7b83', 'ab14f474323b2014', 'f26009799d9c5d1c', 'a69dc45afa4b2a5c', '2dcdffc63dd841f2', '88cf9a3fbae7b03c', '75626e6698e74ed4', '67b55b32d8ac395e', '3a8881f871a1c76c', '0dfcd6c745876600', 'a160ace4ab6efc87', 'd24b0c2028b42494', 'ca75f516d7d527ea', '9f7d72807c4d4a96', '78e2b7646aae4afb']; context = [[39, 78], [46, 87], [27, 61], [10, 51], [0, 38], [30, 67], [15, 49], [114, 155], [16, 57], [9, 43], [135, 167], [40, 74], [55, 88], [153, 195], [23, 62], [87, 123]]; loss = 0.008599 low_pass_filter = 0.300
+Epoch 0: | | 10309/? [1:45:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 10310; scene = ['cc599b021804a5b3', 'e228336cfbfcb179', 'c0d6891369eefbf3', '0d0d5f86ce65d2a0', '95a3ab26d547d0e2', '9f4503d0d8742970', 'ca2a9b1a67bf86d1', 'ff606885fba519dc', 'c260842ca527acec', 'ed4f2169411b4c39', '282c34d21fc592cc', '2ae25c1ef4ee35e7', '3f99cb9bcafde8fe', '399a3e5cb7ce3429', 'acef2a117f896650', '39affc04f4fec373']; context = [[49, 90], [79, 111], [2, 36], [76, 106], [56, 89], [157, 195], [12, 48], [15, 51], [4, 34], [30, 70], [44, 84], [32, 73], [7, 45], [7, 39], [29, 70], [15, 46]]; loss = 0.010147 low_pass_filter = 0.300
+Epoch 0: | | 10319/? [1:46:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 10320; scene = ['dad89dd6790ccf6d', '3dfece9e99bd1cfc', '4b0b542facb0dae9', '0da8b574deff87e1', '0468ca30d13a319f', 'b19f8544604ec196', '9151d4700890619f', '5348f27cc8d85489', '666a8cf59c4576c1', '841a952a015e0c85', 'eec299aee1793bf2', 'f40d76545b65bd96', '52f21eaa05923461', '53fef0109344d530', 'd73dae9e6ffe86dc', 'ec9405fe08e66141']; context = [[227, 263], [84, 117], [36, 73], [80, 112], [26, 63], [94, 127], [53, 92], [36, 70], [0, 34], [144, 174], [1, 32], [51, 91], [1, 43], [10, 52], [34, 68], [139, 174]]; loss = 0.013436 low_pass_filter = 0.300
+Epoch 0: | | 10329/? [1:46:11<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 10330; scene = ['8b6752d01e2fcf68', 'f63696fe0c69427b', '09c62d8362825d34', '8e01aed29e61a9bf', '386d858945eb1e3b', '3ea09d38127a3975', '87b4113d1fb5fadc', '1b52746e12c3a649', 'f46ab77b51367dad', 'a9bddee6b5508f7f', '35d38555a3bad2d6', '4e7f5c62bb1d90b6', 'be93db481f19ff62', '4c3f441c94d63954', 'f3db43d03174c1e0', '20e047bae95523df']; context = [[57, 87], [5, 40], [169, 206], [26, 64], [101, 132], [174, 206], [10, 45], [18, 53], [78, 114], [188, 229], [3, 43], [78, 108], [3, 34], [58, 100], [1, 34], [30, 72]]; loss = 0.010174 low_pass_filter = 0.300
+Epoch 0: | | 10339/? [1:46:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 10340; scene = ['754a52ce12b77483', 'f7f7f1a5b8ac1d79', '02fd9975b8ddd05c', '325bc79016efb0f5', '9b45b8e9b3c34d4f', '22328753a5ede182', 'b5796c53382a4a34', '42ac231638987587', 'aa91ddfdd406ade8', 'a81848e02110f714', '393b490d9f63512e', '1fe04853ea5bc1a8', 'a15dc8bbf7126147', '3da5927afd5ab7f5', 'e66560d04f8b710a', '9349497399743644']; context = [[2, 33], [82, 124], [111, 148], [12, 48], [193, 229], [10, 44], [64, 100], [73, 114], [71, 108], [93, 128], [185, 217], [24, 57], [114, 152], [84, 117], [112, 146], [30, 71]]; loss = 0.010429 low_pass_filter = 0.300
+Epoch 0: | | 10349/? [1:46:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 10350; scene = ['a42750e1e0a3c9ca', '0d05de7bd161c8fd', '895fa1fa9318bb6c', '940334dc257b987d', '90394a4c6c156fed', '3fe89efff3d1059d', 'da2089bb834c5d90', 'b29f6dd77451ab4f', 'a2fdff8f3ea9d692', '77f0316c73a1098f', '1c6199d31018d9f4', '513986b76c939519', '58c80e5820b75155', 'f7030da7965f4802', '52686964de0ddc8d', '200d9ecb37021957']; context = [[44, 82], [5, 38], [38, 70], [46, 88], [92, 123], [42, 74], [172, 210], [21, 60], [29, 67], [2, 35], [46, 78], [143, 173], [70, 106], [3, 41], [92, 131], [15, 55]]; loss = 0.010087 low_pass_filter = 0.300
+Epoch 0: | | 10359/? [1:46:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 10360; scene = ['c1de1786af79e763', '7a80b84436ec23e9', '32e20d9b2115340e', '2c38cddc6bb030c8', 'b4598653ccfd0f54', 'b0c960c65f62d755', 'c5aee3c108690dbe', '4d81bb017abfd365', 'b6a0ed82194dec33', 'ceb060fbe43f4ed7', 'c7891efd731cecb6', '50a66db80eba783d', '8ffdc128b3bba1fe', '796aa1c61f9698e4', 'a17a8bd5758eb632', 'cbb945f143df821d']; context = [[17, 57], [155, 190], [12, 51], [169, 201], [45, 83], [105, 144], [15, 46], [15, 57], [16, 58], [99, 140], [17, 47], [243, 274], [83, 121], [37, 70], [1, 31], [97, 131]]; loss = 0.012663 low_pass_filter = 0.300
+Epoch 0: | | 10369/? [1:46:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 10370; scene = ['617bd94137b51919', '91eee96f9be7ebda', 'ef25872785ca3f37', '25eeae41506761c9', '6ee2bb07a8bd228e', 'bb9122703d0446ac', '98c577bfe33e4dbb', '512ea563cd8f70ca', '943438bbbc464d68', 'f91fc5f7816a4cb5', 'f1ef7c1adc5ec36d', 'ef9870cbc94fe475', '79c4a5514b4df522', '7bb8d358ee6c9c94', '57798145cad91eeb', 'fc4a6c4868d6ec25']; context = [[13, 45], [52, 90], [72, 105], [29, 64], [151, 186], [61, 98], [226, 260], [0, 30], [27, 64], [91, 133], [77, 111], [16, 55], [147, 188], [57, 92], [1, 34], [140, 182]]; loss = 0.013564 low_pass_filter = 0.300
+Epoch 0: | | 10379/? [1:46:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 10380; scene = ['41905c60a21ef567', '2ff7da19974fe593', '861a970a54cc1efb', 'c403c63210eaef23', '8438f949cbd62c23', '996074b95549ba5e', 'd84372dc915c95e5', '04f090fd282ec1a7', '6ab869711e65a527', '3b6c0832b0286bf1', '28039ea78b84ff46', 'fc6f10f3b8a73c29', '85d5c64669a83b40', '581515abcd09a7f5', '55647264885c8a65', '24fc3a21dd069c0c']; context = [[45, 83], [1, 35], [9, 44], [6, 44], [14, 56], [9, 45], [39, 70], [110, 152], [135, 172], [11, 49], [67, 102], [1, 31], [34, 68], [8, 41], [59, 101], [31, 70]]; loss = 0.009433 low_pass_filter = 0.300
+Epoch 0: | | 10389/? [1:46:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 10390; scene = ['bbb0e9da2dddcfce', '5704ff301c085eb6', '8fa1f01dcf1e67ec', '4e11b2499f900054', '2ff050f5f09529d0', '6555cdd783806de5', '33847bd0ad0529bd', 'a16a56ae20e8fbf2', '270022f0b06e71d5', '874157e6587dd60c', '37ab2b25da67703c', '7e8537b839206e01', 'cdd97f2cdbd2c0ed', '0ae05277b9b679bf', '117732838b184c06', 'ef95f2ebf8d94504']; context = [[32, 72], [100, 132], [35, 70], [116, 158], [56, 94], [71, 110], [13, 53], [16, 46], [142, 174], [54, 85], [52, 89], [55, 97], [3, 37], [82, 118], [30, 67], [161, 196]]; loss = 0.010747 low_pass_filter = 0.300
+Epoch 0: | | 10399/? [1:46:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 10400; scene = ['0a5498f62d8f4e6e', '30bdb9819e21fbd1', '278650cc49eaa9eb', '14d48a7c4c9a1368', 'd7e416701d1c4272', '532786fdf5fd727d', 'bf1b7e39c2cac4bc', '1559e264c5f4c481', '10e11b3eb5bba7c9', 'd8c0b4ca0defd965', 'd5ae945909789ef7', '309060e859c57cc7', 'bb5bb772c9c01b1a', '6d49fec0fd3dbea0', '37c5b704883ea1b7', '73a06272f1314473']; context = [[29, 69], [102, 132], [0, 30], [17, 55], [27, 66], [3, 33], [31, 64], [10, 45], [3, 43], [59, 91], [30, 72], [38, 74], [50, 91], [50, 81], [0, 34], [16, 47]]; loss = 0.008897 low_pass_filter = 0.300
+Epoch 0: | | 10409/? [1:46:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 10410; scene = ['064ecca9bd5ae208', '081b7272025559cb', 'ca517568198b38fc', '23b084c9e1cdd885', 'b83a40334c3e05a5', '94d23695debabef9', 'a9e831bd27fc9d1d', '972cae9c88191af7', 'ae1ee4e16ded254b', 'd56484c4cebc5682', 'c2a67e26647c1e9d', '5ebfdb58f1c0f29c', '6bc023020d022733', 'efca5dfda44e51e4', '9abf1b568e15af72', '9de9ba92e959e7de']; context = [[65, 96], [98, 134], [12, 47], [37, 67], [3, 33], [62, 92], [76, 111], [101, 131], [40, 79], [34, 67], [66, 103], [36, 77], [14, 47], [28, 65], [13, 54], [13, 50]]; loss = 0.013813 low_pass_filter = 0.300
+Epoch 0: | | 10419/? [1:47:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 10420; scene = ['65bb1367936bfee7', 'f27c451765bfe693', '62cb927090ad787c', 'a33fa7792c2d3674', '4fb7f3479bf5f793', '99fe17374703a753', 'a53b3507bd229a7d', '22824fe5bc5f6238', 'a44b36742d145074', '71db40fac95086cb', '7a7df9c63b3e71b6', '4363c1bb298aebea', '21f3bdc243b3f6d9', '0aec565990f1c9e2', 'ac5a9a8b66d7c17b', 'c23e6554589887b7']; context = [[59, 100], [51, 83], [69, 103], [7, 37], [6, 49], [10, 48], [105, 138], [7, 49], [40, 72], [116, 158], [30, 66], [9, 42], [78, 110], [78, 121], [38, 70], [8, 50]]; loss = 0.008983 low_pass_filter = 0.300
+Epoch 0: | | 10429/? [1:47:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 10430; scene = ['ccf92c6ab0aa91b6', '4d999bce04f7516a', 'd3895c7d9c03703f', 'cc45417d1c5dab8d', 'a73800e25d3adc8b', '82359e18b76a3634', 'e92d17d3398d0a25', '04528668e1c60664', 'fcf0dfa30f82d161', '44b3e0a57bedb550', '33219fbbd27f4602', '6c0ddd369d85c777', '88623b0479c2278f', '4da70bfde0e88229', '8a175b66a6e0d87f', '0492d6125268e9ae']; context = [[37, 72], [80, 111], [13, 52], [159, 198], [199, 232], [7, 45], [239, 273], [18, 58], [82, 116], [69, 99], [2, 33], [40, 77], [39, 71], [83, 114], [85, 124], [24, 67]]; loss = 0.011481 low_pass_filter = 0.300
+Epoch 0: | | 10439/? [1:47:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 10440; scene = ['4d5c72169a93a233', 'ec30b155fdb742b4', '07c9ccb6ebdc2243', '2e9e4bab16c8ede6', 'fc8edcca8cd02ba1', 'd698675238c917e5', '1af9d0a563d8fc8a', '0a8af1c0c2360992', 'e0a3c0023e6ad8f8', 'f661fd9e62653225', '76ad9054e25f6e8b', 'ea54b1c520a2eca9', 'b6201ff1dbf6ab42', '35989b45a058ee3e', '49a8af003cd5aebe', '338a1e8f27cd7f45']; context = [[31, 61], [89, 132], [0, 35], [128, 160], [110, 140], [15, 53], [183, 215], [24, 62], [42, 81], [28, 68], [11, 46], [91, 123], [0, 39], [10, 48], [200, 239], [96, 135]]; loss = 0.010480 low_pass_filter = 0.300
+Epoch 0: | | 10449/? [1:47:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 10450; scene = ['c6e44ba3f43d1c36', '06c6eda75296a75e', 'fea6f9b0be94efbf', '6c19d5016a508e19', '28a365595c10fea1', '0f13d495ddc248f8', 'eb35c81a959ad80f', 'eeaa456ff8d02ae5', 'b444f2b85b396571', 'acd1915ee65bfe2e', 'cb61949c06bb9837', 'ceb28bbb4f5926f1', '621f93416436589c', 'a02096a091543cd0', '956ba41bf98ba71f', 'bc6074f65be70999']; context = [[111, 148], [40, 71], [10, 48], [162, 205], [31, 70], [6, 49], [22, 57], [9, 48], [24, 59], [17, 53], [45, 84], [22, 61], [206, 240], [26, 68], [46, 80], [24, 62]]; loss = 0.013831 low_pass_filter = 0.300
+Epoch 0: | | 10459/? [1:47:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 10460; scene = ['68fecf971a65aad3', '0d584ee47b1581b3', 'cb4bc53086c6bc97', '6ba0ee10f98864e3', '9f580064227318c2', '4d409a615102cc2b', 'd0eaed6e027e8450', 'b4d7d9db587e521c', 'edc479cb4f6caa65', 'ff90a740279ff477', 'ab14db144fe188df', 'a811b2ea79427e6a', 'd24d5088cc61e752', '85f1aca29efcf661', '05497d101d6aa256', 'c05ee4284b5cfe6e']; context = [[119, 154], [44, 82], [17, 52], [115, 146], [12, 54], [13, 44], [29, 67], [2, 37], [71, 103], [59, 99], [44, 81], [17, 57], [20, 58], [154, 191], [112, 148], [14, 44]]; loss = 0.010663 low_pass_filter = 0.300
+Epoch 0: | | 10469/? [1:47:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 10470; scene = ['a8b78c0dcd5a10dd', '3ceafda325ca5d89', 'ee74691f92b13a07', 'cb8d6f52af9edd41', 'd3e9fb196b944937', '0a178d6a8d53c07e', '2bccd3e30dd64180', '2b0cfab67601662a', 'c2b88667c45d9508', '16e6f88a12ca1a9b', '43017fb4aed6625f', 'ffadc5456128c7f5', 'fa5873dc99dfde1d', '0895217c1d75fc75', '32e02be2574101b2', '40b8c05f6ff38457']; context = [[9, 48], [81, 121], [68, 101], [4, 38], [130, 173], [3, 42], [148, 180], [14, 46], [95, 125], [23, 63], [46, 76], [35, 70], [51, 88], [245, 276], [70, 104], [0, 41]]; loss = 0.011721 low_pass_filter = 0.300
+Epoch 0: | | 10479/? [1:47:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 10480; scene = ['fdb6f125420454f2', 'a0b0e90963cfe4ed', '9cc01f35f0cdb657', '7eea579e137fd98d', 'b9bfa33e34db7e78', '9c2ec37ccb615cf9', '33ec2bc6fd434fe8', '2f56fb1ce3c46045', 'e19f2bdf424cfcde', '249adc3e479b28b9', '54cfdcc11f17f88a', '5f44c9c88b73aa5a', '7da47581ea5a7b74', '11bdc79f5f3fe36a', 'dc88bf46941dca99', 'a95691c28a8c28a3']; context = [[17, 53], [31, 69], [245, 277], [79, 110], [12, 49], [18, 51], [9, 39], [201, 244], [13, 53], [33, 73], [42, 74], [48, 81], [0, 32], [19, 49], [12, 50], [232, 267]]; loss = 0.010694 low_pass_filter = 0.300
+Epoch 0: | | 10489/? [1:47:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 10490; scene = ['33bc577abb7897e2', 'e0737923208792c1', '63a59d5530371249', '6ac1609e850602de', '32e727d8ae7909eb', 'cb82108b17ee5e26', '39b9066d2c942085', '61b8e9a04d4980ba', 'ce4e90b4e5ffd2cd', '84216623fa45999d', '77844e25d2ac0876', 'af90a0a7bfb09e86', '420abf6c08210c4b', 'cf0bef80ad621a1a', '0eccd2c6e5c3747f', 'f0ff3f5228398f46']; context = [[37, 71], [1, 32], [212, 247], [58, 97], [39, 78], [36, 78], [146, 179], [40, 70], [1, 33], [90, 122], [46, 89], [9, 44], [2, 39], [61, 100], [7, 49], [98, 138]]; loss = 0.009647 low_pass_filter = 0.300
+Epoch 0: | | 10499/? [1:47:53<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 10500; scene = ['1ceffd0ae37330dd', 'b41e19a320fab192', 'c008476d54d1ee07', '651736ee17bbb42d', 'da887eb3ac647f2c', '01fbcb68566675e9', '627e05fe832ed87d', 'c0803f4d1cb0eeea', '6077f867625ee34a', 'b029a9bcd2651daf', 'f74a2842c731c6a1', 'd3c12a719176caf4', 'da0c71525ec16c34', '461c4ad72745996f', '6a8fa817af9fabbe', '519a77d8094dafd0']; context = [[34, 66], [7, 45], [1, 42], [11, 41], [81, 122], [14, 55], [0, 30], [63, 98], [124, 155], [9, 42], [51, 82], [43, 83], [77, 109], [238, 270], [62, 100], [22, 58]]; loss = 0.011392 low_pass_filter = 0.300
+Epoch 0: | | 10509/? [1:47:59<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 10510; scene = ['97198df954cb373e', '537580f71422704e', 'f9807395b04502f5', '5e29bcfae9e5fb61', '790bbbeead8c0e0e', 'e2f7704a1bf6ea91', '08762e5e9f8755b8', 'dd2da639bf3d5489', '8eced2dc34158d45', '158dc09f8a9ab006', '5e5c541729749eec', '4937247fb2749a01', '87975b8c008e3881', 'ecd0fa4f3bb29b99', '55745f183232ea38', '8a7af2478ec05777']; context = [[24, 61], [155, 187], [71, 112], [31, 74], [77, 114], [163, 200], [152, 192], [0, 31], [27, 68], [26, 61], [23, 57], [115, 148], [20, 54], [63, 95], [44, 84], [19, 59]]; loss = 0.010107 low_pass_filter = 0.300
+Epoch 0: | | 10519/? [1:48:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 10520; scene = ['8385639daed6ad35', '76ae405bf2de98c2', '0c1b1ea787e6a5e5', '1f264383e514644a', 'c78080cd764ce09a', 'ac5122b9a344d3be', '6abfb2e52aea1a65', 'a6792878dad60243', '72b4959b43d63649', '684b3fe54099d16c', 'd848b9acbb7e79f0', 'd19bc02c7a2c4a05', 'b1e83960965e92a9', '7a53439dd7b7c810', 'a62fce653d958993', '5dba123f9090725d']; context = [[124, 162], [78, 118], [10, 41], [11, 43], [11, 48], [20, 54], [22, 54], [11, 41], [53, 85], [67, 97], [29, 64], [152, 182], [117, 159], [1, 36], [206, 246], [8, 48]]; loss = 0.012515 low_pass_filter = 0.300
+Epoch 0: | | 10529/? [1:48:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 10530; scene = ['d0d681abd0e8178d', '3d45a7ecb75b1c0e', '45cda196e1a1d642', 'f221667620ef606d', 'a8c3a68af453df56', '36f0525eb7d3472a', 'e5dd11aa4e4aef7d', '0a34b018c664a8d9', 'd7e6c0b3ac09c6cf', '51b6e63c903275b4', '886a85c2187060b4', '1fdf19d7c4402d40', '05f76b85aa906dc8', 'af1e0e38c0da060c', '480284b9570c6f99', '78d31bc844cb6ca3']; context = [[70, 110], [7, 38], [1, 42], [233, 273], [0, 30], [48, 81], [4, 41], [44, 79], [17, 51], [154, 188], [6, 36], [2, 39], [31, 71], [52, 94], [13, 50], [28, 61]]; loss = 0.008214 low_pass_filter = 0.300
+Epoch 0: | | 10539/? [1:48:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 10540; scene = ['7b411e4c466f3a64', '7e53bc6da12b71db', '6c23d0b82faed662', 'ba1c15e73bfc4eba', '9416bedb61dd7c0b', '07bfe0e0500de7eb', '8c3f703203d7a3d5', '97db2dd2f407388e', '87ffb21238d4c43b', 'ecd0d0bb2819ae9a', '303b304d3a7f1741', 'cf705560e53638f7', 'bbbd69e2e2beea48', '3f2b808da3dcd537', '90775843376e18f7', '7fd87451d9940559']; context = [[124, 167], [106, 139], [46, 77], [56, 98], [37, 69], [35, 76], [1, 41], [30, 73], [81, 116], [43, 85], [24, 63], [29, 72], [43, 74], [2, 36], [39, 78], [32, 62]]; loss = 0.014933 low_pass_filter = 0.300
+Epoch 0: | | 10549/? [1:48:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 10550; scene = ['63808c84d7b4507a', '8e8093ea0dda5bf6', '4bc9b33353193d1d', 'b4634a77e910fb31', 'c32c8cfb2e2b35bc', '3e96e6f2c7c8826f', 'b19a7215b055242b', '0715871c63748812', 'eb2eef5defd58c1f', '9239aed51a231658', '222255ddcacd20cf', '1fdef796118f642e', '88a9533f6e6f1736', '00415ec2f505e8c3', 'b953af75bafccce8', 'a082fdb24870d360']; context = [[10, 46], [8, 51], [6, 40], [58, 98], [23, 56], [40, 77], [2, 32], [225, 266], [40, 71], [66, 106], [36, 73], [32, 66], [50, 81], [89, 126], [51, 81], [3, 40]]; loss = 0.013032 low_pass_filter = 0.300
+Epoch 0: | | 10559/? [1:48:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 10560; scene = ['e60e765e62130960', '7a6bda7be9ddd883', 'a4f016cebe459279', 'fa46d2e31ca6700f', '3e9346b65dc684e4', '26bd2f3807377c77', '1665c14b021957de', '6a754bfbd0e02830', '14472523a0c46403', '83ac3cb620e43578', '3f2add62a0b1d691', '25c3ed412bb25315', 'ec69ce38f103630c', 'c43bdb6be580b5e1', 'eb0e136af148bcd3', 'fbd15ca7d13011fe']; context = [[96, 131], [1, 44], [24, 65], [18, 56], [103, 140], [57, 94], [31, 67], [12, 55], [35, 70], [21, 56], [144, 180], [29, 63], [37, 72], [62, 94], [160, 203], [17, 60]]; loss = 0.012272 low_pass_filter = 0.300
+Epoch 0: | | 10569/? [1:48:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 10570; scene = ['533bb7185fd2572d', 'f99640d38891e746', '164bfbcf3c843542', 'bedf88185159e542', '281599bbab3e73dd', 'eec481a022f9e86a', '06966b2259fb3aa5', '1d7ad8c6900e7af9', 'd4e738e6d2dfc2ca', 'a24e8ad5010be329', '6fa8bc5857a70689', '71544ab5ea6dc037', '84c770dab9552672', 'e217a44b9eec3221', '74a1a4637c7f405c', '61be2551bb51d4a2']; context = [[208, 247], [68, 103], [23, 66], [39, 72], [9, 52], [92, 135], [10, 53], [38, 76], [113, 146], [196, 230], [211, 252], [5, 46], [124, 163], [17, 50], [104, 136], [36, 72]]; loss = 0.012282 low_pass_filter = 0.300
+Epoch 0: | | 10579/? [1:48:41<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 10580; scene = ['655c7025a4ef3a04', 'dab470366fc62c26', '8b7c1e7466825d2d', '63af3a14bf816d69', 'd30d4b1bab59b3af', '6f61d916513afe2c', '68d9927e6218be67', 'cf8a199c0bcfdc29', '191069311543b436', 'e5aeb6cc73e1ef60', '5198bbd75640b179', 'edefcb5a942060c9', '04d184f9c745910a', 'ccd9f68bb34bbff4', '193b94e9f655def6', '201e14c1395bb7e7']; context = [[6, 47], [101, 133], [10, 52], [238, 272], [4, 36], [51, 87], [85, 116], [6, 36], [130, 161], [4, 43], [4, 42], [41, 76], [4, 36], [65, 99], [27, 57], [1, 35]]; loss = 0.009553 low_pass_filter = 0.300
+Epoch 0: | | 10589/? [1:48:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 10590; scene = ['a9c9fc5a415961b4', '297a127a91742df8', 'fa393778dbecc71a', '674df255653c2010', '6f68ad2a6783fc83', '3390c56508d9c9ad', '76c9abf451c53115', 'fddfd395825c1e5e', 'bc773d762e6fbe06', 'e96c06cde258d090', '24677a0ecc30d9c9', 'd21cda959685df7a', 'e28a20da85069fbb', '4f6d6041434a7907', '97f13942e301b11a', 'd7e621e3e3fdcdcc']; context = [[29, 67], [30, 71], [5, 46], [44, 78], [34, 65], [55, 93], [31, 61], [30, 72], [66, 101], [30, 61], [28, 68], [21, 52], [0, 43], [106, 148], [100, 141], [5, 46]]; loss = 0.009822 low_pass_filter = 0.300
+Epoch 0: | | 10599/? [1:48:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 10600; scene = ['5d4999bc3890166e', '031246664d5c3d67', '983de178d358e48f', 'f22a9901c2044606', 'd7fc46af16108a7d', 'd5e41b87c1d3928a', 'a5aaee1765eb23e9', '2b06a630f32b54ed', 'fb5f51d8b4188c7a', '28c33171c47829bb', '7297c259c805075a', '65b9540faf40b6b9', 'c6d6373111255a49', 'd8f7bae15f8ab6a2', '792c2bde48423a11', '65b0a12d86b78201']; context = [[6, 40], [53, 93], [47, 87], [17, 55], [50, 86], [131, 173], [116, 152], [1, 33], [38, 79], [2, 41], [4, 40], [59, 92], [17, 48], [59, 96], [26, 57], [27, 61]]; loss = 0.009326 low_pass_filter = 0.300
+Epoch 0: | | 10609/? [1:48:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 10610; scene = ['c23f64688bd5832c', 'ecbe588b1196e1de', '6d484dee4f0c6961', '2a6060b83b5b422d', '21c78c4ca6f54165', 'b7707f9169cfbfd7', '91f339b9c88c5648', '3343ae50bd84d78b', '63ba0cc0116eaca8', '44be74319748a608', 'dc1f97232358798d', 'd0011aad43526269', 'd0e255176b3ceba8', 'e96060d1e31bf6c0', '745ac5a5e04f923e', '7d1ff82e642d5373']; context = [[27, 62], [12, 51], [78, 117], [129, 170], [29, 62], [146, 176], [66, 104], [47, 79], [119, 162], [65, 99], [233, 276], [84, 127], [105, 136], [35, 73], [42, 81], [41, 83]]; loss = 0.009151 low_pass_filter = 0.300
+Epoch 0: | | 10619/? [1:49:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 10620; scene = ['3d48789267dda573', '28067dda0ffd7a29', 'c2b4c2d376a4a2bb', '9a3cd88e7992e094', '518b5b152dbe9bed', '64ac5e883d17b31e', 'f18f902446e55b6a', '2d7cadb283e13574', '72e66804cf74b3a7', '07b3b8eed5158977', '13b1888318fdc03d', '9b911c261595376f', 'fcf211292855eb93', 'ecc9be85f439bc3e', '23342ee0ee6467fa', 'b940087d000e5084']; context = [[52, 85], [179, 219], [21, 62], [45, 86], [194, 232], [64, 100], [165, 199], [84, 119], [2, 38], [65, 97], [199, 240], [18, 60], [75, 117], [31, 74], [137, 179], [15, 46]]; loss = 0.009743 low_pass_filter = 0.300
+Epoch 0: | | 10629/? [1:49:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 10630; scene = ['a37504e5a333ec20', 'c7dec949f5729c8c', 'f483eb112204d039', '3b7c1da7ab8f7c7f', 'becfa3668f1ee64e', '3f575f7539ab6976', '4d1e941a12495ab4', '6d7fa9b007d81c4b', '74a4454fec1064d2', '6515c73871c16c8f', 'd331f11afbd5b80e', '7d47270114fd4ec6', 'dd8b7bbadd571c65', 'e721fc9b9370bfb9', 'dbd787e2f15fb124', '42650dbbd8232eab']; context = [[34, 77], [166, 209], [10, 45], [69, 109], [144, 180], [3, 37], [32, 74], [75, 115], [13, 49], [54, 90], [11, 43], [33, 65], [216, 257], [98, 129], [18, 57], [67, 106]]; loss = 0.010892 low_pass_filter = 0.300
+Epoch 0: | | 10639/? [1:49:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 10640; scene = ['cd916eca6a5850dd', 'f0a58c7d4fed3a88', 'a56643a01b020c11', 'c17f81d64774f6bd', 'dd60a3647c0f9251', '8363a64496ed9f95', 'e69fd4d779e61812', '43dfb1a02857ba00', 'af1312953ccd5886', '27af81492287d58a', '95c122b30d1f5da6', '1893323a19021d8e', '824ac94a634e0a57', '4f336e4103d97389', 'a884a290e94bf314', '6f35853cc8e9f3f5']; context = [[62, 92], [80, 115], [29, 70], [34, 67], [15, 57], [27, 59], [15, 45], [34, 77], [37, 78], [2, 33], [78, 121], [114, 156], [106, 138], [16, 53], [16, 57], [12, 49]]; loss = 0.012103 low_pass_filter = 0.300
+Epoch 0: | | 10649/? [1:49:23<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 10650; scene = ['54f982f5c8b1115e', '19fe6c6d41769856', '25df6b294a638aa0', '6db892e0d6deff33', 'fb8c110e1b7428e7', '9ef90a8905a14589', '17e23380fb8f7ed4', '932378f771303fbb', '2365b39d703e65f5', 'ac6761b9095c24f5', '7095019467e67f4f', 'af520f62a535aa1c', '641955bdd4b500a3', '6df08dcd841c4b9b', 'fadf8681f71b6225', 'b12f99acac988ca4']; context = [[48, 88], [49, 87], [10, 50], [1, 39], [41, 81], [14, 54], [179, 209], [27, 61], [16, 55], [21, 57], [40, 72], [79, 122], [58, 100], [10, 49], [18, 54], [56, 97]]; loss = 0.011346 low_pass_filter = 0.300
+Epoch 0: | | 10659/? [1:49:29<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 10660; scene = ['8639b76991693c19', 'a5aaad695508d68f', '38de695bf52f781b', '5d55b5dec223dd12', 'ee05b13cdf928ba3', 'dc7969f442e319bb', '6a7fec6b244c5d59', '5e8fcb22d403ff9c', '4ad63c0c1a8d9798', 'b382a321245b2789', '66e4f3268dafe823', '9cb320f193eedcc2', '33eca79b369a3ed1', '1a9297aa64507e8b', '2e4cb954129dbba8', '80fcc07f0180ae19']; context = [[1, 44], [18, 57], [14, 45], [9, 51], [25, 65], [141, 175], [39, 73], [53, 85], [115, 154], [103, 142], [8, 44], [73, 111], [92, 124], [0, 34], [79, 122], [0, 33]]; loss = 0.008732 low_pass_filter = 0.300
+Epoch 0: | | 10669/? [1:49:35<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 10670; scene = ['91461b13fd903e40', '1d777f965a85e1d8', 'f3daa7d364f722c1', '82176a0ba36cd1d2', 'df869fb963216261', '13521f3d950ae7c3', '53e05632cb9141bd', '564a9a401e37c50b', '4146c9cce23a9a8b', '086af5ca29f293a7', 'a57232a4ef2ec923', '58c71daec1b86e20', '4561c06d33f28c85', '1bdd8065417690d3', 'b29eef78e1972562', 'e9a1cdca9abf71b2']; context = [[50, 84], [173, 210], [19, 59], [1, 32], [27, 63], [12, 55], [22, 62], [15, 56], [102, 134], [23, 66], [136, 170], [68, 110], [60, 91], [40, 72], [152, 183], [19, 50]]; loss = 0.009242 low_pass_filter = 0.300
+Epoch 0: | | 10679/? [1:49:41<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 10680; scene = ['2e1fb15b53a835ff', '648fc6db158f6e55', 'd46599d6e4a2b451', 'e1d9afaa8899ee32', 'e6ea6d241b13591c', '240ad84c83b28925', 'acc62473df85b047', '9a8eb979640612b6', '8c092656a2e5dd1c', 'b06e72eb3136c5e8', 'c919b0540a5e53a1', 'edd15cbc6844242d', '71d819df647d0f28', 'b04e73f999394039', 'd4838e987d85074e', '9fbb521a4d947ef6']; context = [[57, 98], [169, 210], [38, 76], [154, 197], [9, 50], [4, 47], [1, 33], [3, 46], [48, 82], [39, 73], [84, 127], [163, 202], [96, 138], [2, 35], [56, 96], [37, 68]]; loss = 0.010021 low_pass_filter = 0.300
+Epoch 0: | | 10689/? [1:49:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 10690; scene = ['727926e871e31d5d', '02314047509da14e', '95d2c6fca1508481', '2212340b10c882aa', 'bf6ba1f1734d5bdf', '0006e8e3eaa8cd39', '859fc2af29eb08a0', 'd2f26d374cc9fc43', '7d2f9ee3c5ce33ed', '7dd657f7a4c836ad', 'd80cc3b9a8602ac7', '4683f860709f3393', '46ea38e907a53781', '392052b37ba1b434', '6a3f470f8e9d66a9', '25129a03cfd7700b']; context = [[14, 54], [0, 34], [15, 48], [21, 60], [14, 48], [7, 37], [1, 44], [6, 47], [2, 42], [70, 108], [178, 219], [31, 74], [19, 49], [22, 54], [26, 62], [156, 196]]; loss = 0.012449 low_pass_filter = 0.300
+Epoch 0: | | 10699/? [1:49:53<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 10700; scene = ['14032e27d5868321', '232777ce6c9eabc0', '7b2de8cffc94b89a', 'fc4d52ddae957587', 'e0b9820f2fd1d30f', 'a5ee03afbd166037', 'dfedfa0416a49813', 'bfa2bcabacc640e3', '573a94f2ae6e618a', 'cd3f38610cfd76dc', '0e635d9d4da802df', '6dbe25bab31fe746', '5b740c2606bb4c27', '151c464941ec8324', 'd02f8cad1ec64f2c', '7c5f2a6693417896']; context = [[53, 95], [41, 72], [159, 201], [105, 135], [142, 178], [11, 49], [42, 76], [34, 74], [34, 77], [36, 69], [74, 105], [21, 58], [9, 46], [7, 49], [3, 40], [131, 171]]; loss = 0.009819 low_pass_filter = 0.300
+Epoch 0: | | 10709/? [1:49:59<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 10710; scene = ['ef67dc096bd74aea', '6c3c828eddbaccb1', 'a64972f2ce3ab93c', '77d4dad49d3bf4f1', '5ab460913e459419', '6d5ca78f3b7111eb', '2a738a49db16bea7', '85d78a23254e792d', '3daf1eabf19c93ec', '27227056e078032b', '534a13c9352bd9af', '0bfdec70b0e4848b', 'deace859a58d2b95', '2d5367d8abf2a189', '87ffb21238d4c43b', '6c23d0b82faed662']; context = [[49, 88], [52, 88], [39, 69], [44, 86], [21, 53], [17, 51], [14, 45], [176, 207], [24, 58], [87, 130], [16, 47], [6, 44], [11, 46], [3, 34], [74, 107], [64, 98]]; loss = 0.011472 low_pass_filter = 0.300
+Epoch 0: | | 10719/? [1:50:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 10720; scene = ['d0e255176b3ceba8', 'e921b1095907f7f3', '7d1ff82e642d5373', '91f339b9c88c5648', '44be74319748a608', '3343ae50bd84d78b', '0b3450e60786b915', 'cb2397daeb2ee8e4', '62ed93b209157a0e', '4811d8b25548586e', 'd101a39a319befa5', 'f471211bbbc65a17', '615d2eda2a3d4f7b', '24709bfd3eb54bed', '4444717bbd6638d5', 'c97d905b9b4be11b']; context = [[98, 130], [5, 35], [14, 48], [74, 116], [35, 68], [51, 83], [8, 44], [0, 39], [70, 107], [24, 58], [45, 87], [120, 162], [5, 43], [156, 187], [59, 95], [13, 52]]; loss = 0.009247 low_pass_filter = 0.300
+Epoch 0: | | 10729/? [1:50:11<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 10730; scene = ['02af8885e7cb41d7', '70aeebb2e454f169', '37af8a80f816adcd', 'a907466e93b043b3', 'f37017b7df9ed603', '83f6f1d6f7bc3145', '335f19bb2ded2e2c', 'ee1b443b2c28405d', 'aa46e13f5533ecad', '9cedb8b2ef4174aa', 'b90a83734094c8b0', '1188e171a4f746d8', '8133c5c5e0b6da9f', '66fd7a5ab38b46d3', '04990e0e0320ac2d', '4085c1e8f57f9e82']; context = [[37, 75], [14, 46], [69, 110], [145, 180], [74, 111], [75, 106], [26, 63], [43, 84], [38, 81], [139, 176], [16, 46], [25, 57], [45, 88], [45, 75], [0, 34], [28, 58]]; loss = 0.011654 low_pass_filter = 0.300
+Epoch 0: | | 10739/? [1:50:17<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 10740; scene = ['e08750e1f2e95932', '4eb9e7e4f283e229', '712d7d211c4539b1', '5f0a8cfefdaaedcc', '1374f1c247f796e1', 'b370b579bf5e3c23', 'd0a703be7fbaa9db', 'd1b9a1b70474466f', 'fc68db62b98934af', '7039734be2f00317', 'cc64908cbb514ebd', '2e770da39beca629', '8c67d77a1f9a6b14', '1d81f59588ab98f5', '51d0544fae56e467', 'ae0dc9a4163221b5']; context = [[7, 49], [151, 187], [6, 49], [53, 92], [77, 111], [3, 38], [83, 117], [15, 45], [32, 66], [2, 36], [83, 124], [126, 167], [16, 49], [86, 124], [59, 89], [82, 117]]; loss = 0.009243 low_pass_filter = 0.300
+Epoch 0: | | 10749/? [1:50:23<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 10750; scene = ['6611ea98f1c6e06b', '26c2209bf849e0f0', 'adc7501dc8ade1dc', 'b5845733ce5e16c2', 'ff8cf27635ec8f79', '0ed5f2c07cee742a', '368109519bf4afd3', 'af6b1c8a353f5f01', '4aabd0dd33849c4d', '5a149fbb9799b5f1', '985f2c00b4f494d4', 'ec3fcc76dc7935b4', '95604de455068830', '72c76753251034c4', '94ef76e68046fcc5', 'a50412be59011ef1']; context = [[165, 196], [49, 83], [4, 47], [56, 89], [47, 82], [142, 178], [37, 75], [95, 134], [1, 42], [4, 45], [24, 67], [6, 47], [7, 49], [46, 87], [36, 69], [6, 44]]; loss = 0.009110 low_pass_filter = 0.300
+Epoch 0: | | 10759/? [1:50:29<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 10760; scene = ['543ea079f1309658', 'abad44f2b7aa337b', '9ffea0c7512fec43', 'd2f8a0647a048ac3', '55f1ea0208c7c170', 'b355ec5ea53274af', 'f0362371b3876f4c', 'ef0c5ee4208fe10e', '1540410113b2f9c1', '95cd93e95dffe35b', '137f03627c44f449', '356b3796a079db20', '7493055e85c73775', 'bd88a467b26b8e8a', '14f946268ad74b0f', 'fa2d630516211369']; context = [[38, 72], [94, 137], [111, 147], [1, 32], [5, 47], [10, 50], [4, 37], [0, 30], [12, 45], [0, 33], [5, 47], [54, 96], [33, 66], [6, 41], [45, 76], [46, 76]]; loss = 0.008495 low_pass_filter = 0.300
+Epoch 0: | | 10769/? [1:50:35<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 10770; scene = ['c179864f6886d590', 'f82afa5cb8662b4f', '37ce47d9ebfb29a9', '2e36d73dd9237db0', 'e9247558f0be9996', '622a80e8c63bea26', 'e86e6458a4b77118', 'c13ce72bbc5a3abd', '87d10b8ca27aeb0d', '6e31b2bf905c639c', 'ffdc1e6d90725c55', '17c89f652c827289', '8bc4be24233cbdf9', 'b236f5fe556015b7', '1386456b149f9ba5', 'f61f928ea81ba540']; context = [[32, 69], [0, 39], [124, 162], [2, 45], [12, 42], [49, 79], [90, 129], [18, 54], [24, 55], [80, 114], [162, 193], [175, 211], [65, 95], [193, 225], [11, 46], [9, 47]]; loss = 0.008696 low_pass_filter = 0.300
+Epoch 0: | | 10779/? [1:50:41<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 10780; scene = ['1ccda20eb66616d9', '442cc1a75979747e', '47d5b526d610ce27', '24e9c732f2708d64', 'b9c82355b6b72953', 'a80cf6ebbcc8c567', '4861f83856a68339', '6ab2b8047ce3372f', '5152ddec95800e11', '335040270a612565', 'c84634f3d5763cde', 'ebe3737afc68087c', '098b6ce755e6a169', '2b9de59913ddba6b', '3057ed610c97894f', '52a5c89030310322']; context = [[19, 54], [13, 55], [36, 68], [54, 85], [3, 40], [37, 75], [1, 35], [111, 145], [33, 74], [39, 75], [88, 126], [10, 42], [2, 35], [8, 51], [102, 144], [3, 38]]; loss = 0.010384 low_pass_filter = 0.300
+Epoch 0: | | 10789/? [1:50:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 10790; scene = ['9a0d8f16dfe38363', '0621379994686889', 'ff936f48ab11cfac', 'd0348d9d77d5db6b', '71a59f19bca97b74', 'fe171f90f688619c', 'bf85bb00ee815c33', '3b478464a6665998', '56f95247e77bedc3', '37fc71e2d5534f99', '5d00a543f59ea3ab', '7dd3394cb3908cef', 'bdcf63d0e401dba9', '14c18b3853eed06f', 'e05964b2d09ba2b9', '8309dedf60ef56c5']; context = [[34, 74], [13, 50], [103, 133], [18, 56], [98, 129], [32, 64], [110, 147], [233, 266], [131, 171], [15, 53], [106, 142], [12, 47], [31, 65], [2, 32], [129, 165], [3, 37]]; loss = 0.010356 low_pass_filter = 0.300
+Epoch 0: | | 10799/? [1:50:53<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 10800; scene = ['34b27a38dcff837f', 'd3601198fe370da6', 'ceeffa13358a48e3', '61d389bddcbd9228', '6f9a3dfc789b9a51', 'f8f81ce73652f17b', '75cd9075433f968f', '664b327ec00f0235', '79c0857364ffcef4', '62e8f32c902fe339', '5ec059a63d5b37ba', '5ae852dd19ff0503', 'e221f7f852b05c07', '05951392debc0c7d', 'f91c0150dbe6d368', '18430c91ff8eff0d']; context = [[22, 65], [38, 71], [22, 54], [37, 76], [83, 116], [172, 207], [26, 58], [29, 63], [152, 193], [11, 50], [20, 60], [55, 91], [29, 69], [41, 82], [71, 102], [54, 90]]; loss = 0.011454 low_pass_filter = 0.300
+Epoch 0: | | 10809/? [1:50:59<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 10810; scene = ['b73c82a030426b3c', '5e05a3bb4a7b2408', 'd7beff4d08f7f7c0', '4e5ec1d83b201b8e', '5a1bef51559ebc54', '1662e7a8e989cc86', 'cb3f9a003c272957', '0e52526ad6ae0cbe', '252eeea290153060', 'd4ee812a17940de4', '54739636d3e0afca', 'bbbfb82b51d26b7d', '687fcd475fafd53a', '649dace86011dd52', '0fdab2e3c6852b81', '754a52ce12b77483']; context = [[50, 84], [113, 153], [32, 64], [170, 206], [0, 37], [64, 99], [2, 32], [199, 234], [26, 67], [1, 32], [103, 135], [32, 74], [1, 44], [58, 100], [52, 90], [23, 55]]; loss = 0.008395 low_pass_filter = 0.300
+Epoch 0: | | 10819/? [1:51:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 10820; scene = ['8d055c85341ef5be', 'ee5c6bd8fe1eecae', '90a01a4bf92139d3', 'c0cd96efb97299af', 'd550977e6ab72e54', 'f0ec6fde32d852f4', '47261f4c960af669', 'f7e299ca7ccbc897', '4de4d4cc91401422', '29eb7537903248df', 'e125136b4495509a', '645a8988ce8fde03', '865f1084bb5394ac', 'aa218c104399ce72', 'afe244c3a728abb6', '59fe83675dae05d3']; context = [[19, 59], [77, 113], [36, 68], [0, 35], [53, 86], [82, 113], [73, 108], [98, 136], [224, 264], [18, 53], [116, 155], [94, 127], [16, 47], [1, 37], [36, 76], [3, 45]]; loss = 0.009504 low_pass_filter = 0.300
+Epoch 0: | | 10829/? [1:51:11<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 10830; scene = ['fbb54e268f0d270a', '2bf741a222d8d904', '38f8dbde5252ee9d', 'c380f54aaaa59131', '983e973f6b717e2b', '897ac50a2586050d', '16b13c6c0948d0bc', '8a797b1368e908b3', 'faf27a24003c7212', '729746e12579bb8e', 'baf899bcd7c0e9ad', '6096edcb027f9438', 'bf059ef6cf1dc8ea', '2b48002337f3c72f', '75d30fd02e5f8614', 'eabc0fbae64a3713']; context = [[129, 168], [5, 48], [38, 69], [1, 37], [5, 44], [84, 125], [42, 72], [69, 104], [21, 53], [43, 80], [134, 176], [8, 50], [25, 64], [53, 91], [0, 30], [2, 32]]; loss = 0.009607 low_pass_filter = 0.300
+Epoch 0: | | 10839/? [1:51:17<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 10840; scene = ['a32c07161568464b', '8bcb96a1a54fd517', '080b2ea0bee7c240', 'ff5e89a2982b38d5', '4c7919b08e3516c5', '3ab745b9c1e962c7', 'f142779d449552a8', '596fede91ed244cc', 'd5d319bb0bb91ea8', 'b94b0dfc088e9015', '4d09d7bbfb746a2e', '3b0e8bde647ed81d', 'd5df7baf420bc564', '3442a19cd7d6d5c0', 'd8c4678abcfc4053', '0bbbbaae12946888']; context = [[95, 136], [94, 129], [6, 37], [38, 75], [1, 40], [166, 206], [26, 57], [0, 30], [34, 66], [84, 125], [36, 70], [74, 116], [178, 220], [11, 45], [32, 73], [41, 81]]; loss = 0.010480 low_pass_filter = 0.300
+Epoch 0: | | 10849/? [1:51:23<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.0train step 10850; scene = ['2afc7dc230fbf3fe', '1098e1e8ff8a6ccc', '8a98de13b617e55e', '2745b72124ce2839', '67426b6ca13230b1', '39144ca292453bab', '070a38463607f676', 'd8ebaefde5718781', 'f970e1d2a39ddbf4', '9a7bac27466a58f3', 'c9e5140663ab470c', '0c4caceae466dc0d', '2a71b6004bc0bf12', '09c6fdb9069bfebd', '7e9c4c87684d13c8', '1255213b2b061903']; context = [[0, 42], [22, 52], [18, 55], [17, 53], [0, 37], [12, 54], [54, 88], [0, 34], [13, 49], [1, 37], [30, 67], [10, 47], [33, 65], [7, 40], [36, 78], [1, 38]]; loss = 0.009293 low_pass_filter = 0.300
+Epoch 0: | | 10859/? [1:51:29<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 10860; scene = ['9213a5b7938cc603', '98158a10ba43e6be', 'f9e292d0f35004b8', 'cdd401649a7beba0', 'cdff8132e3459a84', 'e5f2814df3d67c3f', '6040ec646b61d38e', 'e65dbd8f3fa574cf', 'c48ae441e013959b', '871c71dde02c52fa', 'cc1665e6993bbd5f', 'a7c454119cd0c84f', '4078b0e80e1d4b3e', '8481aa6143270581', '54c2ffb9b031aa12', 'b03141d1d2429dcc']; context = [[15, 49], [72, 102], [4, 40], [0, 35], [22, 59], [39, 77], [2, 41], [148, 190], [4, 41], [11, 41], [78, 116], [167, 198], [11, 42], [29, 65], [212, 251], [61, 96]]; loss = 0.013271 low_pass_filter = 0.300
+Epoch 0: | | 10869/? [1:51:35<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 10870; scene = ['bca89e1b4c7c57af', 'd9c25af9d095b9db', '8b26999ef2192cb8', '559723a77387f8cf', '5edba6f290c48137', 'e52679ac7b904c9a', 'd5c1a6c6cb883de1', '51cbaa0fef55d570', 'cb1c0ed8721fbcc9', '16b0ce1fde16bd5c', '5bd2b8a6ac345fa1', '0cb1f4423c89e950', '32a2313f018d5305', 'd65738a227b2fcfd', '9a97ec19a3bf5147', '4e1699ae57854ad2']; context = [[3, 34], [10, 53], [2, 32], [105, 145], [125, 155], [47, 84], [53, 95], [32, 70], [54, 89], [35, 66], [177, 216], [86, 127], [44, 84], [0, 36], [172, 215], [0, 30]]; loss = 0.011219 low_pass_filter = 0.300
+Epoch 0: | | 10879/? [1:51:41<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.0train step 10880; scene = ['f841958b4f3ea9b6', '81239a4d26b89db3', 'b5a711e9d6e9f7d2', '0c55d99325327032', '56fa6943fe8aca9b', 'aea0b4037df73166', 'cf1c8a8fb8347d9f', '1766b288f284c234', '9c74a21848354b9c', 'a16d30d362a5ff7f', '9c3ebea75620b57e', 'fc3ee0f062e9a2e8', '975074dc77b4b39b', '8584676cfe1afe61', '6ebbb51c36ffa67c', '3e715f03f925cf3d']; context = [[163, 205], [164, 195], [45, 84], [17, 59], [102, 140], [62, 93], [72, 105], [9, 50], [175, 207], [119, 162], [1, 39], [15, 56], [35, 69], [12, 52], [62, 103], [0, 38]]; loss = 0.010408 low_pass_filter = 0.300
+Epoch 0: | | 10889/? [1:51:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 10890; scene = ['8aefbf6af9a0effd', 'c1aacfd63c3b9795', 'c3eb1f75e218738d', 'ac8718c9d815099f', 'd6624aac6774c6cf', '2182b76a33fef09f', '996067d4347858a1', '826ac620be5fbf0b', '2935197dcf0164b0', 'd2504f7d7af1a9a3', '1c165afe78c29c55', 'c91dc4e10b8ac16b', '4a48d77f5585a875', 'c25194b2a961a96a', 'fc36c85463412c38', 'b5476504de893f96']; context = [[8, 42], [11, 45], [45, 85], [13, 54], [236, 275], [20, 50], [36, 72], [22, 61], [23, 60], [161, 195], [31, 66], [51, 88], [21, 59], [2, 44], [4, 40], [92, 135]]; loss = 0.011160 low_pass_filter = 0.300
+Epoch 0: | | 10899/? [1:51:53<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 10900; scene = ['0171fad21c2da68d', 'ea7648c11d71d569', '2760ce206d026a24', '717355446e5fb6f1', '569b4f2bbd5ca97d', '31be225a56177487', '1d0db89d39191516', 'aeba1b856b9b31b5', '3a2d3179b9f99ceb', '7fd95569d89137e8', '2789ee0911a1051d', 'c3079f4e3e429796', '341407721bd3c087', '5f2afc1d28e9e5fe', '855317e00d04b805', '258faa796752b8a5']; context = [[42, 82], [2, 45], [45, 86], [118, 161], [151, 189], [29, 71], [91, 122], [29, 64], [3, 39], [1, 33], [37, 67], [23, 63], [220, 261], [100, 143], [68, 100], [6, 49]]; loss = 0.011769 low_pass_filter = 0.300
+Epoch 0: | | 10909/? [1:51:59<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 10910; scene = ['587ac21c4e3b3d1f', '57855140884302d9', '083dd412e66fa8e1', '7e062d231f9f28d5', 'fd7f996ea6606892', '2f38640c40521949', '91f9e00c7c8f26ae', 'cb818807e848d9c8', '584403b16a766bc4', '4163aae5c14c2259', '595377a9a51559a6', '2ab2d93f8f85cee3', '7eed7143b1d9bdf1', 'd2ae259bb6a6935c', 'b28e405bcbcfb7d6', '7186ffd763a25cfc']; context = [[70, 106], [105, 147], [124, 167], [215, 253], [15, 51], [0, 30], [30, 64], [6, 47], [42, 73], [2, 34], [21, 58], [68, 107], [11, 44], [15, 55], [112, 146], [178, 212]]; loss = 0.009206 low_pass_filter = 0.300
+Epoch 0: | | 10919/? [1:52:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 10920; scene = ['1104b859ab561a91', 'd0a5fe02748fc75e', '8c68653f00f6d17f', 'c932900554a3875e', 'a75e410b243dbdd0', '293fd741a4b1418f', '33e2078934da463f', 'f3c989f55510b54a', '910ea84fe04de798', '46e5a4d61907f704', '8ce487e5f7832de1', 'b3f1d9e291979d4d', '7c8a83c355ab09a7', '6c292d2668c5df52', '7350a07af6d4d9c2', '63624b6a57f69f3d']; context = [[123, 153], [17, 55], [236, 278], [22, 55], [8, 46], [21, 61], [7, 50], [127, 163], [11, 54], [11, 44], [174, 216], [15, 52], [61, 97], [25, 64], [28, 58], [64, 94]]; loss = 0.008734 low_pass_filter = 0.300
+Epoch 0: | | 10929/? [1:52:11<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 10930; scene = ['1484e9c4187a562d', '645567ee2438a9bf', '17675b4e73f05823', '38313c7ce5d8fc08', '3b85815f3e1df080', 'b7f47dac8c0ae90b', '65fd119cae53be01', 'c9de4d71fde8bf65', 'e28a20da85069fbb', '55f8874f8fefa4ed', '7355218ce6104077', 'e96c06cde258d090', '297a127a91742df8', '76c9abf451c53115', '4f6d6041434a7907', '3390c56508d9c9ad']; context = [[1, 35], [21, 63], [13, 44], [22, 56], [3, 40], [33, 68], [61, 100], [74, 105], [35, 68], [70, 110], [22, 55], [19, 50], [28, 64], [49, 79], [57, 88], [3, 44]]; loss = 0.008793 low_pass_filter = 0.300
+Epoch 0: | | 10939/? [1:52:17<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 10940; scene = ['ad96a22bb137e566', 'b23a2d11dd88eb83', '7c996dd6ba66b365', '661d465e98bec126', '9f2cb9d0504e1e4a', 'a53edd4f427771a3', '8d5fbc21f528902e', '5ab913ee14ea2b24', '1bc367ba2b28912f', 'e4cf75733dbed315', '102d19c9e7f4cbf8', 'bc2a7a37df0cdb53', '5cc5a65c5d2b03ee', '85011721006086c5', 'c1a6ef665d46399b', '637bdb45beb6fb5a']; context = [[40, 72], [33, 71], [6, 42], [32, 68], [1, 32], [59, 91], [170, 203], [54, 92], [208, 241], [10, 50], [22, 62], [145, 177], [18, 61], [77, 112], [33, 63], [43, 86]]; loss = 0.009047 low_pass_filter = 0.300
+Epoch 0: | | 10949/? [1:52:23<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 10950; scene = ['c0c4c31e533004c1', '359152220eb1d27f', '7758f38825215a20', '89eae766d1dfa570', '127ddf70a5395dfc', '1a85cec942246c96', 'cf2badfcc6029738', '49ab4dfaac816611', 'c7a6ccb56cf0220f', '9db7b3ce6f093bfb', 'ea3607afb2302a82', 'b9496e79c092db77', 'ab5746b36d0c079c', 'ce0161965212721f', 'b5ef6bcc9a651474', '8c8fd141c75ec5dc']; context = [[23, 60], [6, 38], [127, 160], [14, 53], [58, 101], [3, 38], [27, 61], [123, 153], [3, 43], [26, 58], [49, 91], [55, 98], [3, 40], [48, 89], [15, 53], [66, 105]]; loss = 0.011709 low_pass_filter = 0.300
+Epoch 0: | | 10959/? [1:52:29<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 10960; scene = ['7225310f01007948', '442a0ef9d9e76ff7', '831f44fb2dc2311d', '86fd1d544859f77d', '512b7e32e6bc3f48', '35a227970ce3648d', '35eb1ea54b2d5010', '009d5ce3e73298df', '72fbb5441e60349c', '3578d191d151ccc8', '96296c928b44f0a4', '1ca122afdd7a2c3d', '3ae99c9e9d3762b4', 'c6d7b4ec3f169cc1', '9b51d7d828b0ee35', '161dc6059be03815']; context = [[167, 207], [5, 40], [101, 132], [95, 125], [3, 45], [73, 105], [19, 52], [58, 95], [4, 42], [76, 119], [61, 93], [134, 170], [11, 52], [36, 77], [57, 93], [53, 91]]; loss = 0.010112 low_pass_filter = 0.300
+Epoch 0: | | 10969/? [1:52:35<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 10970; scene = ['8e1791ffb6412f09', '800b6286c2b3b9c7', '336b3140d9d8bebd', '8b4aecd7318912e3', 'd7ac888a45c3c904', '3da7fd2b6cb9b945', '8abe602d2d3a004c', '5a6387d05cd51e02', 'b6f5561feeabfddf', '859236e0cbc2f4a5', 'f64382ecda10da42', '9b0b1203fa711a60', '2b63c5c022a05285', 'f97b13a0875462d6', 'bef837728aab6049', '8eb2d8f27faac47b']; context = [[3, 34], [12, 42], [41, 72], [191, 221], [21, 62], [54, 95], [79, 109], [171, 205], [26, 56], [8, 46], [11, 50], [160, 202], [11, 52], [82, 117], [1, 32], [56, 89]]; loss = 0.009767 low_pass_filter = 0.300
+Epoch 0: | | 10979/? [1:52:41<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 10980; scene = ['e8bcc2e3fa0b3809', '90a88f61bf407368', 'c3b965a5e39ef192', 'a4071a433af90680', '770a3d6cc6eb482b', 'a8d78d305bbdb97d', 'dacf32005e7ff429', 'b468dbccdbe6269f', 'c32944f8e26d5b9d', '0bcbaade18e8de26', 'b54e9392ea54baf1', '7f38825dc04a52f8', 'd1b53be4386ac0e7', '01cbdc2687833ad4', 'edecb6d85652f9a1', '4624a9b67e1a88e2']; context = [[78, 115], [133, 168], [55, 87], [184, 222], [19, 55], [34, 70], [47, 77], [0, 31], [14, 56], [59, 92], [31, 70], [15, 56], [103, 145], [42, 77], [153, 187], [21, 51]]; loss = 0.010016 low_pass_filter = 0.300
+Epoch 0: | | 10989/? [1:52:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 10990; scene = ['d8a10ac5a46cde3a', '7599e146ecc8c0ae', '964598a02fd77ee0', 'd97d4429fd5e613a', '9e5973f672d3a4f8', '269c81dbfdc48cbe', '7f5514d22a7c013c', '8b5c5d28beb6aaee', 'b5a1533f624a0e69', 'f2ffc71375ee3698', 'ed38782db0d369de', 'f656c8cb690eca24', 'f401287d77578677', '012f24ca4b69e4d8', 'd43b3efae89891f6', '228f67bb3f7257e3']; context = [[78, 115], [46, 76], [13, 48], [9, 48], [29, 72], [0, 31], [40, 74], [51, 82], [52, 87], [13, 51], [29, 70], [17, 57], [217, 250], [115, 149], [3, 45], [111, 147]]; loss = 0.010967 low_pass_filter = 0.300
+Epoch 0: | | 10999/? [1:52:53<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 11000; scene = ['30424882cc105c3f', 'b9d4445e5b8179a8', 'e0cd677c6327d758', '2840317723c97f2e', '082c0c02689ac9ea', '1ac2a4b1e19586d2', 'fa65596a8e365af8', '8f6466cf3955548f', '45e99af9de479d18', '3c4bdecd948605b2', '37d500b0d445527a', '58d3f0291ef949cd', '5873515e83e4f80c', 'ed32136a29bd41e5', 'b9f4bf0923570c4d', '20c567d65674f2ca']; context = [[35, 78], [29, 70], [90, 124], [20, 62], [19, 52], [15, 45], [142, 181], [66, 102], [38, 69], [34, 74], [22, 65], [37, 72], [58, 90], [99, 135], [7, 45], [91, 132]]; loss = 0.009774 low_pass_filter = 0.300
+Epoch 0: | | 11000/? [1:52:54<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0validation step 11000; scene = ['651a7f83ed093001']; context = [[171, 210]]
+Epoch 0: | | 11009/? [1:53:01<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 11010; scene = ['a2c32e79a1e30600', '20f0da7699f136b3', '3486d59a92f026ac', 'ea31003893552c45', 'e6c20fc262364062', '72c3d43fd80eb9fa', '2a74eea6e2f729e6', '4506dc1a680c186f', 'fe02addf27f31c95', '31aff270dc318197', '88a0a05121f9f74c', 'd8ebdfe45b35a5aa', '5671cb0d00d9d6b7', 'e1da6e7e7a0178c4', '4e7da8637b6a526d', '11151f6b04d76f39']; context = [[98, 128], [24, 54], [0, 43], [49, 91], [75, 109], [30, 65], [188, 226], [36, 78], [14, 58], [148, 191], [22, 61], [6, 46], [125, 157], [25, 55], [63, 98], [1, 43]]; loss = 0.012586 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 11019/? [1:53:07<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 11020; scene = ['1fd04b3b726fc68a', 'b72d9fdc671b2e3f', '5862391ea26da3ea', 'b9baabda7e1103c9', '5016750fece91181', 'd637df47561724e7', '012019df6ff17e30', 'b27550ce7b33d218', 'e4d69e87d73f574c', '9579af646646f7a9', 'fb1651b38865c843', '05b4833383b01223', '85550f8dc12ada36', '0ccb467174ef8384', '88488291ab748607', '725cbe582c2d0afa']; context = [[16, 53], [3, 47], [23, 53], [47, 86], [3, 47], [75, 116], [26, 63], [62, 97], [49, 91], [5, 46], [214, 247], [14, 46], [80, 111], [1, 35], [24, 60], [40, 70]]; loss = 0.012729 low_pass_filter = 0.300
+Epoch 0: | | 11029/? [1:53:13<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 11030; scene = ['3894d7d61208aea6', '97e4cb1ace3d2389', 'ce3d2d997aad9619', 'ea4fd7cc97844f81', 'a21c7fc61430286a', '53d67e0708030be3', 'b2d8fc68e6b91731', '75e78d3a345b7e23', 'b70def164b856c89', '8baf73d4c62c234f', '857cbbf6876e2bf3', 'f91b9393b23e69ff', '6c95490e2bd6aa2a', '7cd0fffd56e1bb4e', 'de6b214b12ce2f5d', '3f209aa0b5e74285']; context = [[57, 87], [23, 55], [86, 119], [6, 38], [17, 48], [39, 70], [31, 70], [49, 85], [9, 51], [120, 153], [67, 103], [9, 53], [66, 100], [17, 59], [41, 80], [34, 74]]; loss = 0.010514 low_pass_filter = 0.300
+Epoch 0: | | 11039/? [1:53:19<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 11040; scene = ['210cf1a3bb4a8bf1', '404b4791b64c6df5', '84f4398a444eebd5', '3c692507a0a83d02', '53a047ae113b5b3f', 'b7168a9c1a6ec502', '9f9213ddabd7bac8', '1970a18a09507fc8', 'd15fc66cd14bb973', '3df78a46912f03d2', '53754ca100a3c2a1', 'e60726e96c92ea50', '9ef8aedeb93cd9b9', '30c5f73f51e9d378', '07a5fe80f25f8a79', 'abba67b06f58671b']; context = [[96, 127], [4, 37], [0, 32], [188, 222], [178, 214], [5, 39], [78, 109], [57, 91], [12, 42], [228, 264], [13, 44], [51, 89], [9, 47], [121, 159], [13, 56], [4, 34]]; loss = 0.008765 low_pass_filter = 0.300
+Epoch 0: | | 11049/? [1:53:25<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 11050; scene = ['4fd139b53037d3ea', 'ff23eb62f349366e', 'aec942278ff394bc', 'b446b7840e4ac28f', '89bc971b5dfbd294', '4fec9d404cf136d2', 'aa2197dadd5f5f8d', '0a15372f3b9eab0b', '292b9e4977860611', '5d56c55814546bd8', '9ce391fc1fec85bd', '993c3b3734240eda', '1e483388c44e927b', '3653999b060232ff', '443a9edb97b38126', 'b7910be2e79e221f']; context = [[51, 86], [20, 53], [199, 232], [24, 66], [32, 68], [24, 62], [0, 33], [201, 233], [74, 114], [79, 116], [27, 65], [34, 74], [9, 49], [12, 52], [66, 97], [109, 142]]; loss = 0.010082 low_pass_filter = 0.300
+Epoch 0: | | 11059/? [1:53:31<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 11060; scene = ['0e36759e631b3a7d', 'f1eae9bf3eb4bbbf', 'dcfd07d4a022b226', 'fe2c764518e7a72a', 'd9dd6e0b1550b1ee', 'c74969cf2d6052dc', 'e81941e5c1fe55cb', 'eefdafedf732e5b0', '8fba4dda8330a838', 'b48b1adbf6c01e9f', '0d21809ec3211305', '10ec4d16f705a260', 'ba856f9451354f41', '65d07fcdfb062070', '4b94b69778b899fa', '1823c7e7ff75c1d0']; context = [[131, 168], [23, 53], [50, 91], [213, 257], [53, 96], [13, 44], [15, 53], [160, 202], [15, 46], [61, 105], [85, 126], [10, 40], [126, 170], [80, 122], [61, 99], [121, 154]]; loss = 0.011364 low_pass_filter = 0.300
+Epoch 0: | | 11069/? [1:53:37<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 11070; scene = ['53de9a4e07e66c31', '826bfb24e4dcb24d', '04141e7311b5b776', '41bde7bd3b983de7', '3117ac544da725ad', 'a70bae772fe1f221', '2439d921b0ded44f', '2bf4a3ae29fde52d', '61ddcdd79d0586b8', '1e63068cd7e8d1c0', 'd1a5538f3ea4bb56', 'b809f86166cf31b8', '4ba8aab928daf0c7', '4564448b2f24c851', 'e6aa35fa03162303', '32078eb83807dbf3']; context = [[48, 79], [0, 35], [15, 59], [48, 88], [0, 41], [8, 52], [7, 40], [19, 52], [6, 40], [1, 32], [83, 125], [26, 62], [18, 54], [47, 89], [26, 63], [2, 46]]; loss = 0.012106 low_pass_filter = 0.300
+Epoch 0: | | 11079/? [1:53:43<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 11080; scene = ['a4e41a67cc55ca5e', '59029ee2996b0ab1', '7cc7880ef69db73c', 'b319295376408696', '5b0cc99d38736efe', '729e1efcddd5058a', '11885ded95a45f98', 'f938c6de686dd5e9', '3cafe7c03ee5782e', 'fca4e445c41c1ae5', 'fc665068424c2e80', '54bffb953d877965', '66709e5a49fdca17', '619e553334b56ea6', '4dcb4479e2490a95', '3475c3521e7ed6e0']; context = [[19, 63], [53, 91], [35, 65], [9, 43], [34, 71], [44, 76], [150, 191], [41, 80], [102, 135], [96, 135], [70, 105], [3, 44], [95, 137], [45, 76], [2, 33], [132, 170]]; loss = 0.008844 low_pass_filter = 0.300
+Epoch 0: | | 11089/? [1:53:49<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 11090; scene = ['b258499e892b8255', '1c24110d82ca7fda', '37bab43436b959b8', '24e01c5b3902d452', '0acb50de3333ba56', '8d88417d149343a3', 'aa5affe1e69017b1', '40feb7856665d3d5', '096ec46a582e58ed', 'fb2d399fc8d1288f', '55396890c6961267', 'b53a8e8d3caa0f66', '9be8777414b5510a', 'eca88f83164ab4a3', '026013ca541c30da', 'aea713a654bc70f2']; context = [[21, 61], [20, 55], [20, 59], [63, 96], [219, 253], [97, 141], [85, 129], [85, 116], [106, 148], [226, 270], [18, 48], [198, 229], [6, 47], [37, 68], [177, 215], [2, 46]]; loss = 0.011022 low_pass_filter = 0.300
+Epoch 0: | | 11099/? [1:53:55<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 11100; scene = ['9caac0a86187d952', '61b8d6d61f125dfc', '0f72af29e689aa51', '7c198ea51a55bd53', 'fd9163677d4f184b', 'c6a5d6868de3532e', 'a38b5ff05cce2c80', '16550b4843bda7c9', 'fd76831770670610', 'e167c9e3a4ac3ddf', '22ad4d6b24d8eb3e', '9be4f7f194641876', 'f85bb38dd85bff45', 'baac13e0de97b6d9', '05815f0448f51d9c', '7e71fa90b85ee375']; context = [[71, 110], [5, 40], [30, 67], [10, 49], [17, 55], [161, 196], [236, 272], [32, 70], [31, 66], [172, 209], [20, 51], [65, 106], [49, 92], [60, 97], [4, 36], [25, 67]]; loss = 0.011792 low_pass_filter = 0.300
+Epoch 0: | | 11109/? [1:54:01<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 11110; scene = ['f83aad93553a1fe3', 'e4bbe64f8760c542', 'efe518cb76665511', 'bbac08082d5d47ff', '87566ad86aab444c', '7c1c07c77d39e0f9', 'f3d21d375f937dce', 'd49b4fa7b43fc10c', '2f1f43ea5b2766f4', 'de02237229575e23', '8b60b394df2a9220', '77659febf946d8c0', '4a7229184d136690', 'b7f4f08c3ee747cf', 'e7431d87279f2f40', '64a094bdca3a99b5']; context = [[3, 34], [12, 45], [40, 77], [79, 116], [34, 70], [3, 44], [26, 61], [75, 106], [18, 57], [48, 90], [8, 50], [108, 144], [13, 55], [4, 46], [65, 107], [7, 44]]; loss = 0.008839 low_pass_filter = 0.300
+Epoch 0: | | 11119/? [1:54:07<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 11120; scene = ['d4838e987d85074e', 'b71f1c4d3f3e11b7', 'd53fc98a3d2e0354', '568b33cc3fbab751', '0c63cd231163ae00', 'c944569063a4abf2', 'ad6f3772864b9f5a', 'ff772e9eeaa3fae4', '52d261d44166b108', 'af8f4d618f869f77', '516e761c5402bf7f', 'ed51eda77e50f68f', 'd85224614a8ba749', 'b3d35b1754b449e1', '2f6cba5238438eb9', 'd772de89883ef084']; context = [[93, 128], [1, 37], [88, 123], [41, 82], [151, 183], [164, 198], [48, 90], [12, 42], [21, 54], [0, 37], [101, 138], [62, 101], [133, 171], [161, 199], [8, 43], [46, 80]]; loss = 0.009373 low_pass_filter = 0.300
+Epoch 0: | | 11129/? [1:54:13<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 11130; scene = ['5f682ba84996ef9d', 'ae43b854a34b208c', 'e04c8f59aa6d3c50', '432f64556c7cdfa2', '53b2d43b7f2a6077', 'fbfbcba06045cc1e', 'd2025fb25b1b8d42', '47d2189b091c3cbe', '4a13cfcfbfbf8887', '56ffb64f1ac704c8', '527eac78ac3e3012', '39bfa783bf8eb056', 'edb02105a535094e', '4e70f8c8d569f01b', 'de60b52ac3e7875c', '430ed582e79c5bab']; context = [[7, 51], [0, 37], [156, 195], [85, 129], [82, 125], [83, 127], [3, 43], [32, 71], [3, 44], [190, 228], [39, 80], [27, 61], [51, 90], [108, 139], [31, 64], [6, 48]]; loss = 0.008338 low_pass_filter = 0.300
+Epoch 0: | | 11139/? [1:54:19<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 11140; scene = ['4a4baddbd49b7258', '03d3092e230ed7f0', 'a5a4762cca8682a9', 'd59ab97b03d1164a', 'd47a86be435af29d', '572d67c3862dd6e1', '315815aa98415073', '262a536e25e2ae43', 'af60f8a67b20ee61', '7b8b7615fd2f7724', 'e280b63b4fde8794', '215c46860fea0af7', '1937bd8834c0270a', '546f6ef7e1ecadad', 'ab2a8498118f02b3', '6f0e672c9d2d1f20']; context = [[35, 75], [22, 65], [1, 34], [3, 44], [21, 60], [95, 129], [4, 40], [101, 133], [0, 34], [19, 54], [38, 73], [0, 31], [31, 75], [51, 94], [102, 137], [45, 87]]; loss = 0.010212 low_pass_filter = 0.300
+Epoch 0: | | 11149/? [1:54:25<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 11150; scene = ['fae84f9901505e34', '5d69e869219fef05', '242a6bb6504da60b', '571c726d284c5fef', '1e1f136ce68928e4', 'e1d4b9c7b39aa748', '43f5a800c0b89a68', '6597b7c578ddc529', '5c0e0d405e67335f', '1f53342de1a0ff2d', '27f19ffe2847912a', 'f13f04fe296ed1b2', '3eec00e2737a9285', '08ec2a7f6781ccfe', 'a04522f8476deb96', 'f682642ce3f20e85']; context = [[19, 55], [99, 142], [26, 64], [14, 57], [0, 32], [210, 249], [16, 55], [46, 80], [7, 43], [175, 207], [49, 80], [66, 107], [42, 80], [8, 41], [13, 52], [110, 144]]; loss = 0.010934 low_pass_filter = 0.300
+Epoch 0: | | 11159/? [1:54:31<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 11160; scene = ['4e0a83430cbe5daf', 'e3055f5c8878cac3', '52bf8f0eaf400271', '75ec2472c9bd5d56', '5aea53b7c7dcefec', '88ee0081c73b2c00', '8b3d605d4d8ec3b0', '7374cc80de8a5479', 'd992b7126745f2ca', '4e43f52092ef6306', 'a5207b8d6b307bab', 'bb320dd4e0d86efa', 'e482986b21210c55', '83ad0bcf3fa261a7', '8aa48e9505a71090', '181c6124dfe721de']; context = [[76, 112], [51, 82], [0, 44], [12, 56], [22, 55], [126, 156], [19, 52], [29, 60], [84, 122], [108, 144], [103, 136], [2, 35], [231, 263], [54, 87], [2, 40], [1, 45]]; loss = 0.009850 low_pass_filter = 0.300
+Epoch 0: | | 11169/? [1:54:37<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 11170; scene = ['9ab6f5a4a25d8e1e', 'c9077b5a9e2919c9', '701bbabf79a42624', '49f2a6f344b193ec', 'a7b928c84f551702', 'e1843bdb769c16fc', '39f89831b997bcef', '67f8815d24b5195c', '269eed6559c8e8dd', 'a4eeae8de8e2e98e', 'd0432ed7f1d068ff', 'ba6091fde6e9ec9d', '586168cbb8fd4583', '2bbe015bfbec987b', '475f76d77a5bbf1e', 'b69737f8793f8741']; context = [[42, 77], [2, 37], [29, 71], [24, 64], [74, 118], [145, 179], [4, 43], [48, 90], [42, 72], [37, 68], [65, 101], [73, 117], [37, 72], [48, 84], [21, 62], [44, 81]]; loss = 0.010041 low_pass_filter = 0.300
+Epoch 0: | | 11179/? [1:54:43<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 11180; scene = ['04b29f18ba65f722', '73e584ee20bf003d', '53daa5ea0d4b98bd', '468a367c6bde7be7', 'c19488b4bf826477', 'a6fa40bedfca6012', 'bd295705900345f7', 'a2e5f84fd671b85e', '0cef8a131f31a91d', '1d4265985e7667cc', 'ce8aee19127c3952', 'ef05d8c3781ff579', '1d5a30bb1267f67b', '4180411482979dcb', 'b1e149b34d6b16f3', 'dc044b71b712f904']; context = [[41, 78], [11, 52], [75, 106], [75, 106], [10, 42], [25, 64], [34, 69], [91, 125], [22, 66], [19, 57], [32, 64], [106, 144], [17, 60], [1, 34], [3, 46], [79, 117]]; loss = 0.009809 low_pass_filter = 0.300
+Epoch 0: | | 11189/? [1:54:49<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 11190; scene = ['b993964d13910de3', '74e30a73a5c11c30', 'aa8aacb5df95e356', '73abd5048eb254a5', '2c1b4bbf79a3aaef', 'c2fc6ef65cb36488', 'a32094abd3d9859f', '78d2e86bc8669dd2', '4774ac3c0d87204a', '08db89a1f93cb339', '5dab5955ca910d26', 'f2a043c2bf7dd45e', 'fc6479bd5c3fe413', '3d896caec571f0c5', '9d5a8743f862007b', '5705a9af99505ea3']; context = [[165, 204], [2, 43], [72, 116], [0, 42], [167, 204], [37, 71], [38, 80], [13, 54], [33, 73], [106, 148], [40, 75], [10, 41], [71, 107], [32, 72], [0, 43], [155, 191]]; loss = 0.011841 low_pass_filter = 0.300
+Epoch 0: | | 11199/? [1:54:55<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 11200; scene = ['5eeb2c7cd1bd78f7', 'ee6e5709a57be759', 'e4e0a2c744fcabd0', '395b1c86e35e8d93', '52e13717e8b9393d', 'f291b18d16c3b10c', '111008339f6622fa', '3475c3521e7ed6e0', '619e553334b56ea6', '66709e5a49fdca17', '5d0ce5e557060f2c', '54bffb953d877965', 'b319295376408696', '5b0cc99d38736efe', '4dcb4479e2490a95', '11885ded95a45f98']; context = [[8, 43], [7, 39], [0, 32], [6, 40], [153, 188], [116, 153], [1, 33], [4, 38], [187, 223], [158, 191], [5, 39], [36, 71], [37, 75], [26, 58], [4, 34], [97, 132]]; loss = 0.011166 low_pass_filter = 0.300
+Epoch 0: | | 11209/? [1:55:01<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 11210; scene = ['1287537f55d4a3d7', 'f53aabed95a2bfb2', 'ce16ba6da405ff5f', '74e305a72498a65f', 'dd395fd1ad8c5dad', '1ec1a98943c2d7ca', '85c3c6ef91de95d1', '9818b445929fc4b4', 'c8a56ef039bc9c4a', '7a29638b2d1a0044', '8fff60029f27f18d', '48e2960495c802e9', '39c2cf9a036278ce', 'ff3ecf2ec76ace60', '3fd5003b2ddfc76c', 'e7cfbaa323e6a40e']; context = [[25, 62], [79, 117], [32, 70], [76, 120], [32, 66], [1, 44], [16, 52], [52, 85], [5, 36], [18, 54], [65, 98], [56, 100], [185, 218], [142, 181], [2, 40], [99, 139]]; loss = 0.010465 low_pass_filter = 0.300
+Epoch 0: | | 11219/? [1:55:07<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 11220; scene = ['106e8189f4ee90d7', 'ad70f831385f15d1', 'a6bb2fe723408401', '51bfc1ddd9e0e060', '7df87b841be16aa9', '27e38880c016caf8', '0a4e8851bfe4792b', 'e41ffc49d6187487', '35ec7ecaec9d42ea', '0465a46abf146c4f', '8925a3f3b27bd94e', '29ada37fa1244183', '16267af07bb2ede1', '8c095cad49acba9b', '308091dfa01684c4', '6d824f7a87981e47']; context = [[10, 46], [41, 75], [21, 54], [29, 60], [35, 67], [28, 58], [17, 60], [49, 88], [112, 145], [9, 51], [173, 211], [97, 127], [76, 120], [14, 44], [40, 71], [19, 54]]; loss = 0.008327 low_pass_filter = 0.300
+Epoch 0: | | 11229/? [1:55:13<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 11230; scene = ['8f3647ba2a7208d5', 'a7411d99c980c19b', '53dd8f88f5a8df75', '5111c7e2b993a59c', '5671fc8bcb5c086b', '8ae28f3b0be905f8', 'c97c3b275adb5bb1', '7dea0889b1b634e1', '38da7fa34b2cdf68', '857827e759dc61c0', '6368d5b1d60b2ce0', '7f4c531cce3cef03', '453118571b632c56', 'b62ad35412742efd', 'b8f0921844966f26', 'bbbc43f0a7244468']; context = [[14, 50], [226, 263], [109, 143], [48, 78], [8, 49], [85, 126], [37, 81], [0, 33], [162, 203], [1, 44], [78, 114], [22, 53], [116, 155], [3, 34], [73, 114], [69, 100]]; loss = 0.010919 low_pass_filter = 0.300
+Epoch 0: | | 11239/? [1:55:19<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 11240; scene = ['18061c7463438d89', '76ce9bd95ed81200', '59645825f18fbe9d', 'aff3adf77641ddcb', 'fe80abf4227101c3', '8a279fd6d6bbd07f', '51e68a59b634cda9', '257371b0aa1f6bba', 'd3a43202508f2f9c', '70cdd195c14be815', '1fa7b345af776191', '5e715a795e4a34dc', '36fac023a729f6ae', 'ce212bd6e751cb91', '09f19ef0ae6b13df', 'ed1b5ffc37dc2a98']; context = [[48, 81], [174, 218], [111, 148], [91, 130], [0, 31], [27, 68], [32, 65], [6, 41], [37, 80], [34, 69], [64, 95], [54, 92], [118, 150], [75, 113], [52, 92], [198, 230]]; loss = 0.008681 low_pass_filter = 0.300
+Epoch 0: | | 11249/? [1:55:25<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 11250; scene = ['70a7c73ee0ff15cf', '8ccd419c07a54f45', 'a11168f2dbc672f5', 'a392b45c2f7dbe40', '412f8a80f8206ea5', '87c8a0082ed8ff94', 'ed2d12be16750310', '0aa65a45e54c8ff1', 'c4d9221e93c2b12e', 'dfa445fd1c795422', '128ddb0e3fbd0529', 'b84a5c1e7734f562', 'b38c90b77ef3ad91', '31416904feb3adb2', 'bd9691996bd5d929', '9c134c1df58d2d56']; context = [[93, 125], [8, 39], [45, 80], [4, 46], [0, 42], [102, 135], [44, 76], [30, 74], [86, 117], [15, 55], [20, 51], [146, 189], [3, 40], [90, 127], [10, 46], [26, 66]]; loss = 0.009736 low_pass_filter = 0.300
+Epoch 0: | | 11259/? [1:55:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 11260; scene = ['b90df30817c753ea', 'c92d0a347ee12b27', '26af5b5c8a608691', '4f61131422209b7b', '9b96d0f9960bbf1d', '8ab1764787cac6f4', '0e6beaff75a2e21f', 'b81e3b03979caf13', 'f30c65f4705fed5d', '8e8e3cea6ba6435f', 'b567ccc30732df29', '612b5d50e7f2c51f', '53ca901b4997c856', 'c6994c31aa134562', '6a94bfa75e7988c8', '865c923c96f0a73b']; context = [[5, 45], [111, 144], [50, 92], [19, 49], [11, 42], [42, 83], [28, 69], [116, 147], [0, 37], [5, 44], [69, 102], [5, 49], [114, 151], [21, 61], [8, 43], [33, 73]]; loss = 0.008915 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 11269/? [1:55:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 11270; scene = ['a017de2545c81e26', '2abe932fd9d76528', '2b132bbbc4b720b0', '2ae7890bd8231e93', '63636dcaf9b864e6', '86f3bbf2864c65f0', 'd78079ff1a0f045d', '8fabc39ad677dece', '806af4d2d935738b', 'b569a2f2d95abd90', 'b551bb88ffea8c1d', '88f77031423782db', '3a19beaf455fa3c8', '8ce821da54a25970', '1f28f66d80d8a799', 'a9be4205ae4d9eaa']; context = [[13, 45], [45, 80], [0, 30], [135, 172], [14, 54], [33, 75], [135, 166], [6, 43], [78, 116], [145, 177], [17, 59], [15, 47], [156, 199], [116, 151], [39, 79], [176, 216]]; loss = 0.010901 low_pass_filter = 0.300
+Epoch 0: | | 11279/? [1:55:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 11280; scene = ['ae6a7d632401e500', '5d4498bafa0c954c', '77ec708ec51602e2', '56357aac9db0ea9b', '2b6776be63239f3a', '30aee98670108feb', 'cd4599abebf9d60d', '4fcfd03c65294627', '89ad475d12af1821', 'aad7773777457cae', 'b3f292e781b77315', '02cea6edb1b588e6', '72fe0395095d3abb', 'd71386474224c9dc', 'f0f12c1c465e21e5', '25f5058d556324fd']; context = [[3, 38], [116, 153], [42, 73], [28, 60], [30, 65], [56, 99], [33, 75], [105, 135], [86, 125], [232, 268], [102, 142], [106, 147], [47, 78], [142, 184], [29, 68], [17, 59]]; loss = 0.011318 low_pass_filter = 0.300
+Epoch 0: | | 11289/? [1:55:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 11290; scene = ['4fcb9b17624fcfed', 'c9ee1faee53b3457', '6466dd709ba4f21a', '94cdd961dda768d9', 'bd8d3f1861372fb8', 'b90df30817c753ea', '9b96d0f9960bbf1d', 'b81e3b03979caf13', 'b567ccc30732df29', 'f30c65f4705fed5d', '612b5d50e7f2c51f', '0e6beaff75a2e21f', '84f93146a3c38ef1', '8ab1764787cac6f4', '4f61131422209b7b', '53ca901b4997c856']; context = [[118, 158], [192, 229], [35, 74], [87, 119], [7, 41], [13, 48], [57, 90], [131, 170], [70, 105], [3, 37], [18, 62], [27, 63], [9, 49], [16, 47], [84, 115], [27, 62]]; loss = 0.009821 low_pass_filter = 0.300
+Epoch 0: | | 11299/? [1:56:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 11300; scene = ['8b92b2017c49dc3e', 'd06f8cd99d46cac7', '22b63b6be3f3992e', '2103796b5825f13b', '23cee9d0a7ec0ad4', '34013a94143379b8', 'ba35191f2e1e3973', '14bbdd46f201f55e', '97a3306ce9b42e4e', '316b1c7f7482039d', '5f775c3cf16e4fb7', '9b2d544c36b4e88c', '54e91a756a41c2df', '1febc354d5524e1f', '368ae03cda038cbf', '7c264b34f37a5657']; context = [[74, 112], [85, 116], [42, 79], [41, 77], [1, 40], [50, 85], [36, 71], [15, 52], [39, 73], [7, 43], [24, 60], [9, 45], [17, 57], [51, 86], [122, 157], [31, 63]]; loss = 0.011384 low_pass_filter = 0.300
+Epoch 0: | | 11309/? [1:56:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 11310; scene = ['b23d0744a8a448b8', '27455d91c2ce386d', '028130721962d51f', 'da00b7213105b4a8', '87d64e0d263241ac', 'dfab3206eb0221fe', '5af820514cb6e04b', '7ccc290152046a71', '66142899889d749e', 'd86cc1513f0664e8', 'bb7ebd1a4b790368', '4b2f6642fc295553', 'fef25b6e3dd7df54', '283b240cbd81ebc7', '96594799c47beb71', '12a9071fdbc06fee']; context = [[133, 172], [30, 73], [86, 126], [72, 112], [68, 104], [46, 80], [38, 79], [0, 42], [25, 67], [35, 75], [0, 32], [4, 41], [39, 76], [23, 63], [21, 59], [169, 213]]; loss = 0.010171 low_pass_filter = 0.300
+Epoch 0: | | 11319/? [1:56:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 11320; scene = ['cd79d0de91d6c322', 'df1d50ec315fdd41', '4439e4423360c42c', '7fc314c58433af8e', 'd1237f5349508660', 'f69cf3d96e7cf8f8', '1c6110bfabe7831a', 'bb7e7bc809e2d50d', '0ebbdd2d2ba475c7', '28e3c9a4261b68cf', '472681b6b747e84a', 'a60a2e4385f361ac', '0da32cfb9483ba52', '1a2b1d9e7065035b', '73341b79eaf41f6a', '75360b350aacca61']; context = [[18, 49], [7, 41], [47, 83], [3, 41], [13, 51], [28, 63], [43, 85], [108, 144], [5, 44], [24, 62], [30, 67], [74, 109], [66, 99], [14, 56], [38, 74], [15, 48]]; loss = 0.010397 low_pass_filter = 0.300
+Epoch 0: | | 11329/? [1:56:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 11330; scene = ['36d957c25ce3a65d', '88f602169e8e43e5', 'b34bb5f53856d34f', '164bfbcf3c843542', 'f99640d38891e746', '281599bbab3e73dd', 'b25963fb28a6fd6a', 'bedf88185159e542', 'dc50de438abdb52c', 'a7c776da58a96494', '533bb7185fd2572d', '144e1ec915e46d29', '5d9526b17d8736a3', '8060b04ab454bb81', 'f107b68f4a5f2f10', '1d3d9af5e8de4a67']; context = [[63, 107], [18, 61], [7, 43], [182, 216], [19, 61], [9, 42], [43, 80], [71, 108], [114, 146], [43, 74], [189, 222], [80, 123], [58, 90], [98, 139], [46, 79], [24, 59]]; loss = 0.015430 low_pass_filter = 0.300
+Epoch 0: | | 11339/? [1:56:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 11340; scene = ['5041701491a4b930', 'f47abcad22b7b6c4', 'ea5a39bd855fdd91', '9794641b7e015578', 'cb007777cb7dff95', 'c1bcd66d5a2d51b6', 'db085f4da5bb3a11', 'abffceaf0098faa8', '6454334af1aaabd9', '1a251dc2dac5cd26', 'd7272df49cd52b8c', 'c3b82a52e6317dcc', 'c1fec197b3a59315', '849bb6781ce6dd59', '77d9893ba17a1330', '71d24f4e70b1596e']; context = [[99, 143], [62, 104], [22, 65], [150, 194], [51, 85], [113, 154], [1, 35], [19, 52], [60, 91], [9, 48], [2, 33], [3, 47], [5, 37], [63, 95], [68, 100], [174, 214]]; loss = 0.009589 low_pass_filter = 0.300
+Epoch 0: | | 11349/? [1:56:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 11350; scene = ['4fd139b53037d3ea', '4fec9d404cf136d2', '89bc971b5dfbd294', '0a15372f3b9eab0b', '292b9e4977860611', 'c235beae7f32275b', 'b38453d092cb760c', '9756ac0316805cff', '8b1b695c79061c29', '74a8f11d5d29aab0', '19d0ab2aa711ec3e', '0027e46f749ac7ec', '2fcc80596aca14cc', 'fc5f909a6e21d8fd', 'c4f04d00df876c55', '5c5694be61ffb755']; context = [[119, 151], [23, 55], [192, 236], [182, 226], [19, 56], [82, 121], [43, 81], [2, 39], [81, 124], [6, 50], [12, 52], [54, 98], [90, 126], [51, 88], [130, 167], [59, 103]]; loss = 0.012320 low_pass_filter = 0.300
+Epoch 0: | | 11359/? [1:56:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 11360; scene = ['f44605ccfe673d4c', '847e971064ea8f32', '2c6fc82128274bd2', '7dff7cc241357591', 'e199c79aa53f3143', '88d7f43eec1eb9dd', '009c0252ca19d76b', 'f919bf589008481c', '3236b130a75f48d6', 'aa89328fd849d813', '944bcc2f8a199c68', 'abdf580d488c0193', '791ee73a5a8b0dea', 'ff133f07dd0f56e6', '1cf5859280ae575f', '0bcfc80a4cc34924']; context = [[11, 50], [29, 69], [20, 59], [25, 56], [57, 98], [6, 43], [26, 57], [7, 46], [19, 51], [1, 45], [40, 71], [61, 101], [157, 195], [22, 65], [54, 92], [0, 35]]; loss = 0.010291 low_pass_filter = 0.300
+Epoch 0: | | 11369/? [1:56:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 11370; scene = ['f5d779a094aae091', '7f2d5be93f351414', 'f6fd3848b81f674b', '64752a2bbc8cb8a0', '596b0aec6dc38dd6', '65b40c140ed34d82', 'b1a0e4d6606be6f4', '643a5274a1acd8fe', 'ea037bd5bd5dd020', '6dfa5d8b449cfa29', 'e827971d9159f974', 'd70696962e8d49ca', 'fd37077f26b2bd87', '7e32519bb8c8a4f1', 'a8946be78cc27901', 'b072428b6db26547']; context = [[61, 94], [189, 225], [7, 45], [48, 83], [8, 49], [169, 212], [3, 38], [120, 160], [228, 270], [125, 157], [7, 50], [112, 151], [141, 176], [40, 83], [145, 178], [10, 49]]; loss = 0.012075 low_pass_filter = 0.300
+Epoch 0: | | 11379/? [1:56:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 11380; scene = ['282251d1ef15c3fc', '518d383bfd978431', '69e0fa97f9a68c7c', 'eccf2be869b9e84a', '9a425cc9654f27d1', '41b791aa1324f8d0', '1e73cbe74fa856ef', 'd2db866d20badde7', '29d754a48979d3ef', '04c446484b9ff253', 'd8b0f4aa8fa820cc', '586f625656c0d31a', '10d2c72a6d8534e4', 'f95aa66cf9e4cbb1', '7f279e9b6fa302d2', '3107cf5db874038f']; context = [[16, 50], [5, 40], [18, 51], [10, 53], [11, 52], [27, 68], [97, 139], [1, 37], [49, 80], [23, 63], [89, 129], [4, 48], [141, 179], [84, 115], [85, 122], [25, 56]]; loss = 0.013052 low_pass_filter = 0.300
+Epoch 0: | | 11389/? [1:56:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 11390; scene = ['5c4acbcb2726ae77', '347a65acdefb3ab8', '78cb32401cc6b824', 'cb4a606c07c51b91', 'e41c005265b2a44a', '5e17c7b14a6238ad', 'e63f98971b4a8c7d', 'f9c6bef8f2735fef', '6e0478995e512dc2', '9559d128b3a1eef0', 'f7f3a0fc0824b3c7', '1713fd97a984662a', '8ef966b685a58bf9', '3d26d392a63a781c', '71c1c052632606d3', 'bf6b4b934e4ebe0c']; context = [[66, 101], [20, 61], [8, 42], [25, 59], [48, 84], [26, 69], [61, 105], [1, 37], [56, 90], [13, 55], [25, 63], [16, 54], [187, 231], [2, 45], [14, 52], [4, 38]]; loss = 0.011034 low_pass_filter = 0.300
+Epoch 0: | | 11399/? [1:57:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 11400; scene = ['60863ab1ae0f524f', '0f7252324e26fd76', '0b2eca97fe7ea73a', '875ff9f24364de38', 'd4c21b21fa236269', '27d36fd1255aed7a', '76e4818391c788ea', '74812f0d1efedf41', 'd0bfa2fc0c632563', '774362c41a2ecf5f', '0d3b97d42d92ea7c', '9cb8cfd4c82730ed', '5c96eb8cee63a7cf', 'a16e4bbb68282ea0', '2d5d9db14ecc7d90', '1c3b2ab4d7288505']; context = [[3, 47], [21, 59], [46, 86], [2, 35], [88, 131], [80, 118], [29, 60], [55, 94], [15, 59], [45, 76], [145, 186], [18, 49], [58, 102], [14, 57], [17, 49], [57, 98]]; loss = 0.009568 low_pass_filter = 0.300
+Epoch 0: | | 11409/? [1:57:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 11410; scene = ['2eba78ad3a6eec8f', '1fa1d107663af676', 'c356250cc2aafb8f', '2b28b72745f71555', 'b6ad7033ca0cbc19', '12cc6c4ce9fc8ea3', '7dd8fc2a2879081b', '5e7393a6f6396b3b', '4f3469437e46bd88', '5c6220acfae016ee', 'f26b0f41d07e095e', '27fc0e7b8cb19777', '6847234a262ac256', 'e1552e01242047f0', '0402b44b67cb86aa', '149264dae59d363c']; context = [[7, 49], [54, 92], [139, 178], [33, 70], [38, 70], [44, 87], [31, 74], [55, 88], [74, 113], [114, 146], [41, 76], [53, 94], [42, 76], [9, 41], [7, 38], [12, 43]]; loss = 0.008994 low_pass_filter = 0.300
+Epoch 0: | | 11419/? [1:57:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 11420; scene = ['a9fbb0320fcd5342', '755db31817a105ff', 'a1e39e7698c39ddb', '2d6974fa7a7c2871', '16be374e6f6d5d3d', '1c6c2f0ea25ac8aa', '1e51a9a349931860', '10f1c7cda244255d', '52b0ce9efb240e7f', '96e0dd87c09dd1a8', 'e78f201e5bfc0742', '1c7e0d9da743e0ff', '2035595ebba23bac', 'a6b381f7e736bb58', 'e2ca642f83d36d8c', '724aa9c8b18efbae']; context = [[114, 147], [8, 49], [30, 63], [92, 134], [5, 47], [40, 77], [2, 37], [5, 49], [173, 215], [155, 198], [7, 38], [14, 56], [55, 89], [9, 42], [8, 44], [233, 269]]; loss = 0.016043 low_pass_filter = 0.300
+Epoch 0: | | 11429/? [1:57:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 11430; scene = ['9baca1fb56d285e5', '0e291acc4922a85c', '96555872a3bcecaa', '64d626f25eedc00c', '24b61a5f82f26bdf', 'da730944311546b9', '4d836c051f02de01', '41e20f4874e70840', '2c829a056844b920', 'ab1a429034ca6dcd', '82951bcec467e8b9', '2837f34b63e649e1', '24d33601b8e09152', 'd842261ebd54ac6e', '1fb562b09fc361ea', '8828f1cc452795aa']; context = [[58, 101], [78, 121], [0, 42], [95, 127], [31, 70], [23, 64], [2, 46], [6, 37], [9, 50], [2, 36], [75, 119], [48, 83], [90, 131], [18, 55], [15, 54], [46, 83]]; loss = 0.008693 low_pass_filter = 0.300
+Epoch 0: | | 11439/? [1:57:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 11440; scene = ['5dd56196ee851032', 'b4e49c04cfa8e5d5', '4aa5669dc0c886cd', '4615200729431cf9', 'bdccb33a12175af6', '4fd056d18c23b0a1', '3f29b4c36d5cc1dc', '14a04b4cda7ef5f9', '870e56ae669f7ea2', 'e97617b00097605d', 'c6445c21aad2bcf1', '5d68ede0f829a545', 'f87609d5183676b7', 'cb6419023897e80c', '4d2c0f16715e0c6f', 'a7b8522c8c3153c4']; context = [[17, 54], [46, 78], [25, 61], [0, 38], [104, 136], [12, 52], [8, 39], [110, 141], [3, 45], [61, 105], [125, 158], [9, 46], [29, 66], [46, 90], [75, 111], [216, 251]]; loss = 0.010868 low_pass_filter = 0.300
+Epoch 0: | | 11449/? [1:57:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 11450; scene = ['11cd107f829eeb46', 'ab42a131df988c32', '726cb0d916e76398', '622dafbeb856b952', '6aa0e273d8c41852', '188c4d1c3452fd73', '6e699ada5d23f8c9', 'cdf469e202a5472a', 'a31eadf1684fcffe', 'd30939bd64212027', '17bd051dfba24889', 'b1ac6f21c376eed5', '5ad8fd8108ff1453', '90db803cbda4c4e9', '36717a2b0062a25b', '70a4150512a6795d']; context = [[145, 182], [6, 46], [9, 48], [42, 76], [90, 124], [194, 231], [38, 82], [0, 32], [190, 222], [3, 39], [68, 112], [10, 48], [48, 86], [169, 209], [27, 68], [99, 141]]; loss = 0.008943 low_pass_filter = 0.300
+Epoch 0: | | 11459/? [1:57:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 11460; scene = ['91461b13fd903e40', 'd588ae62f9b649c2', '11deb50de71ac927', '1c2c96e3fe52c6a6', '192c0569510eb6c8', '796ab6cfb1192ac9', 'f3daa7d364f722c1', '66b6630688276790', '96f03281c30927f5', '58a7d411c1fb25d2', '5a1eeb8bec049de7', '1d777f965a85e1d8', 'f04736fbba8bf151', '997f64d78458ffde', '7ff6f39b6dd59b9d', 'a6001b0dcca08330']; context = [[87, 119], [40, 77], [120, 154], [2, 33], [6, 46], [16, 51], [14, 58], [81, 112], [17, 60], [31, 72], [70, 102], [160, 195], [0, 32], [78, 121], [23, 56], [149, 181]]; loss = 0.009385 low_pass_filter = 0.300
+Epoch 0: | | 11469/? [1:57:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 11470; scene = ['a6e9da5f8ea25c34', 'd9eecbe208f90b0c', '80d18f8705a70093', 'a26a4e80d45ff758', '28a588c2c070a86e', '8bf81bba5bab3b3d', 'dc35c77570c24ea2', '9d7337ce46604147', 'e7841af4b7538263', 'c03dae8d29e59980', 'a560ee0cb837acdc', '36bc8f17c259c97c', '4fb9a68bc510c6d4', 'ece2c8a087bb867c', 'bc5a6fe47d65b9bc', 'f7789bcbce7f114c']; context = [[83, 123], [26, 57], [75, 106], [191, 227], [130, 166], [102, 137], [12, 54], [62, 96], [33, 76], [22, 66], [51, 95], [230, 274], [11, 45], [8, 42], [50, 91], [7, 49]]; loss = 0.009812 low_pass_filter = 0.300
+Epoch 0: | | 11479/? [1:57:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 11480; scene = ['2605fa738da22f6b', '98b8ce7ec5136f36', '92eb19ba377c51b1', 'da4089450625c919', '2b5827ae7ea29a23', '95de3fd23a9781fa', '53284766c7c0f818', 'd0252dde8512de70', 'c8a486b083a1b41f', 'c947a2448e98cc2b', 'ddfa73b45dfa987d', 'c4ed01fdbdc7851a', 'b8e02ba0056b4c30', 'f717191e3d9af1d7', '9cc2ef713f12e92d', 'b5057adf5224f835']; context = [[110, 143], [36, 80], [0, 39], [38, 71], [47, 79], [13, 53], [96, 128], [13, 48], [3, 47], [14, 52], [163, 199], [43, 81], [18, 53], [77, 110], [29, 63], [86, 117]]; loss = 0.009683 low_pass_filter = 0.300
+Epoch 0: | | 11489/? [1:57:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 11490; scene = ['1565693bd0ba197d', 'efe92f77ccb0db4e', '1fc78c3676411b0e', 'c39c1edf17138b7e', '15ce11f1e22a9b05', 'cf8fbabc3160c580', '57c9507543d23a6a', '98117b28e3a3f1a3', 'efd93dd97d9b8354', '8b83c145a4e49ae7', '13ff3000568af298', '42fcdbf25960b7d1', 'f6e13e47d1eb3d00', 'ce721350498c2567', 'd0b16c716a451af4', '040053f72e3999be']; context = [[78, 120], [41, 84], [8, 50], [34, 68], [32, 73], [49, 90], [115, 158], [22, 61], [45, 77], [7, 50], [5, 38], [51, 90], [100, 144], [6, 48], [53, 97], [14, 47]]; loss = 0.012133 low_pass_filter = 0.300
+Epoch 0: | | 11499/? [1:58:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 11500; scene = ['1bf2ad010fbce70c', '38674e38103d5da6', 'ff66ce41eedc4d21', '6750ee6f269e3292', 'f8002823df94e9f2', '1bd19a79fe682e24', 'df1d3fa0c3580009', 'bb14c9ef294f2eb7', 'aa2ee5c4626a6c43', 'c911c92ac370270a', '347f4e7f9f627a12', 'bed787d9b3bbbfb7', 'd3ab495b56ec2830', 'c2bf5ee569ba3681', '27f34df7cc8863e4', 'dbebe2e9bca9ac82']; context = [[2, 44], [19, 60], [5, 37], [52, 84], [135, 171], [15, 50], [7, 41], [20, 55], [58, 98], [75, 108], [43, 84], [10, 51], [68, 110], [37, 72], [45, 84], [13, 56]]; loss = 0.012315 low_pass_filter = 0.300
+Epoch 0: | | 11509/? [1:58:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 11510; scene = ['e41818c1a640f355', '5d3009a73d9e67e1', 'c0019ff8afeaf1f7', '90da26a5b04b69ed', '280d6636eae33dd3', 'f79a6334f7f97c04', 'a3e68f2a6b87063c', 'f7d839262e5cc647', '07a9a32c46e67df3', 'd9ff7a8b9114dbcd', '84dd6be769a13042', '93598ff73741eb47', 'a802441c288b598f', 'd7afba0f3ab5b579', 'c82f4c790e826904', '4589094dbb4e180a']; context = [[2, 46], [39, 77], [25, 60], [70, 101], [168, 211], [1, 43], [155, 193], [31, 73], [3, 38], [7, 38], [6, 48], [17, 56], [85, 121], [1, 43], [86, 117], [9, 49]]; loss = 0.009428 low_pass_filter = 0.300
+Epoch 0: | | 11519/? [1:58:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 11520; scene = ['b681aee07eaf04f3', 'ac22f6e38b10a056', '37b4ceaa6a5ec27e', '9691b4ee3a595593', '9a66cd85916a3bb3', 'd10b70a4463d1141', '63b0663fd8096e4c', 'bff9146b1d9f0872', 'e7f6ca9e6e6046d8', '79b2784291441084', '689155f58b3976c1', 'beed2d7fedf3c7d0', '61d29b571c954e20', '8f5534be509fbce9', '68ed8970712b0a9d', 'c3d128b89321a7ea']; context = [[49, 89], [216, 253], [131, 169], [22, 58], [108, 143], [13, 55], [68, 101], [4, 42], [2, 44], [79, 115], [96, 128], [145, 176], [46, 78], [148, 185], [23, 67], [9, 51]]; loss = 0.011759 low_pass_filter = 0.300
+Epoch 0: | | 11529/? [1:58:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 11530; scene = ['5ab84da28337a82e', 'e81379351dfd7263', '7e8e4fc21d873b5f', '2f0b59c1ffe70cc2', '1e97fe5dfd5c79a7', '3d24db7c9cd49075', '02ea4129dd5d7b3d', 'cf977b0362ca2e4b', 'c9f16c5c526ddbcd', '6a3f470f8e9d66a9', 'd4cbeb25474a17b7', 'b4e19294cf3e2116', '35c70af801116b59', '53907ac8b877a09e', '392052b37ba1b434', 'd2bd3a3f16cea877']; context = [[21, 59], [12, 51], [4, 36], [45, 87], [11, 51], [19, 54], [25, 67], [24, 65], [38, 73], [28, 68], [136, 168], [200, 239], [0, 40], [55, 93], [78, 118], [94, 126]]; loss = 0.010210 low_pass_filter = 0.300
+Epoch 0: | | 11539/? [1:58:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 11540; scene = ['707654a8ca3aa0a7', '7f067b4823bd9a43', 'aa35d43e76151927', 'c4ce55bea0af94e6', 'f0cce9e9948cd179', '6c26fceb2ceeadd2', '8c2ac0b557c918f6', 'e76cc38cd4a649a3', 'e32f6279def089d1', 'bcc9490e754b8b01', 'e71bfdeeda465f20', 'e894f58534099e23', '23151ba2dd9a8604', '03236c69ed00c0ef', '8de05698c3a24c5f', '3dde36edb00f0b21']; context = [[61, 95], [100, 139], [67, 106], [2, 44], [97, 137], [20, 63], [23, 64], [10, 50], [13, 54], [2, 41], [5, 38], [106, 142], [55, 95], [45, 76], [205, 248], [14, 54]]; loss = 0.010221 low_pass_filter = 0.300
+Epoch 0: | | 11549/? [1:58:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 11550; scene = ['af3a65a2494dd781', '0a7610d317d24b8a', '459769ea9bf3d783', 'a617b569862483a9', '15a53ffb8b43d9ef', 'dd152cc506ed208a', '65ec962651b85a4a', '6cb4ac9555d8dfb2', 'fae8dd2a73485eb3', 'd95cd751ef6f4bc5', '82c1c8656f684b1f', '0c9eb9638aa20481', '1ab0c0259d79431b', '1a2dab689da1e13a', 'fb97f55b61aa86aa', '23c0e70db47f9263']; context = [[60, 93], [51, 83], [49, 89], [172, 204], [4, 44], [16, 53], [38, 76], [26, 63], [29, 73], [26, 57], [14, 52], [52, 86], [60, 97], [22, 62], [29, 60], [33, 75]]; loss = 0.009365 low_pass_filter = 0.300
+Epoch 0: | | 11559/? [1:58:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 11560; scene = ['4f8e3874b212dd9b', 'e5ef6dfdcbcf430c', 'ca39898dc82ac69d', '9a2ecd82a5084f01', 'd725f58a68fccddb', 'fe2df6a236f5bc79', '32812e4fbdf0ab79', 'ec6d32b61bd26167', 'db2bc7f10561a5d0', '57ea5883b42d1a76', '398ea56207849e42', 'c42c6d551c4c4d62', '720cfd7e2861e1b7', '0c4ad6f7363c6dbd', 'a3416994d313fdb3', '7676731236980273']; context = [[1, 32], [21, 60], [24, 66], [10, 43], [35, 75], [29, 65], [0, 41], [100, 142], [152, 192], [3, 39], [32, 67], [230, 270], [0, 33], [231, 267], [7, 48], [74, 114]]; loss = 0.008960 low_pass_filter = 0.300
+Epoch 0: | | 11569/? [1:58:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 11570; scene = ['3057ed610c97894f', 'c84634f3d5763cde', '4861f83856a68339', '442cc1a75979747e', '52a5c89030310322', '59ae2f224b858800', '80c759aed9065f8a', 'd0d6d994dcab7a20', '1a57c3ecc5849fe5', '1542e2c1f3aa9e8d', 'e0feeb21d0e40767', 'bada3acbfed62d2f', '8f704f54edccd196', '5ab9ad7c30eca83f', '35a8eaa93452fec2', '327bc92a7c827a04']; context = [[44, 75], [114, 150], [2, 33], [46, 78], [217, 253], [36, 70], [16, 54], [30, 61], [39, 80], [36, 68], [6, 45], [16, 57], [55, 86], [42, 81], [7, 47], [3, 36]]; loss = 0.008786 low_pass_filter = 0.300
+Epoch 0: | | 11579/? [1:58:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 11580; scene = ['1abe4c0d5c5989fc', 'c43a6b0491b8ad48', '81f5ada9048dc7f1', 'ef148eba57056ecd', 'd8481651acc76769', '195b0d259724614e', '0978d7105d3262a5', 'a3573e9f4346aa7f', 'ff9cdf0d622d570f', '65b134ccff0da535', '21c74a87a82349ce', '0bcbaade18e8de26', 'a4071a433af90680', 'b468dbccdbe6269f', 'd1b53be4386ac0e7', 'b54e9392ea54baf1']; context = [[5, 38], [1, 34], [12, 53], [65, 103], [116, 159], [58, 102], [21, 54], [56, 89], [27, 58], [6, 39], [0, 35], [76, 119], [220, 252], [10, 43], [102, 135], [28, 72]]; loss = 0.008367 low_pass_filter = 0.300
+Epoch 0: | | 11589/? [1:58:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 11590; scene = ['eb7c7a3cabdebb09', 'f7a547b8137293e1', 'b85114255018b6f4', 'a2c06b7195565fe8', '0c7109f0c724b646', '421667feb0be923a', '796f9cc544565921', '54638ffc419fec69', '3e9b55a6888ea022', '69371015a3531f8f', 'a1569033155dc826', 'c8b5a79114b9d356', '72c9e010f8e37e8d', '3b49b6ba84b39699', '33a881e81042b539', 'f354f80d3026f02e']; context = [[14, 47], [6, 40], [26, 69], [1, 42], [17, 54], [1, 43], [24, 62], [104, 144], [163, 201], [71, 111], [88, 130], [20, 61], [60, 97], [18, 54], [3, 43], [112, 143]]; loss = 0.011616 low_pass_filter = 0.300
+Epoch 0: | | 11599/? [1:59:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 11600; scene = ['461a21cc0d33eced', 'e4230c118f07c919', '67d2598341a0806d', '890224694b0d3646', '7e653b80e209ad00', '3291a7e78e54162a', '7f08598eb9ef1c0c', '9f44bde8f7dcf62f', '462bfd1b62b6cb54', 'a56e2c19e91b75a5', 'b2789c1a5c127a02', '6684fc33674f2025', 'd11ebc30ee032c3a', 'ee4dcc640af50e65', '7430821f0f20c61a', '3fd37c92837271ef']; context = [[82, 114], [28, 70], [0, 38], [30, 74], [7, 41], [137, 176], [26, 57], [3, 36], [5, 50], [123, 162], [29, 65], [2, 44], [28, 62], [44, 81], [12, 51], [24, 57]]; loss = 0.009565 low_pass_filter = 0.300
+Epoch 0: | | 11609/? [1:59:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 11610; scene = ['d0f4f1c4157d67aa', 'fe1b92932a2eb481', 'd51a5f3f6dd9f3df', '9d8ca21d7984f76b', '6e53d59a04d16cd8', '1ca420ea134b5748', '08683965a087e86a', '93ce775b91288252', 'd34e6f770d5be502', 'e783de3eb3d285a0', '80a6a796ecd278ae', 'd2e14852ad022560', 'af8d1f77be2d8bf2', '4b7185a79978e486', '7eecf8d8b64017b1', '8c0235ac1048ca32']; context = [[76, 109], [41, 74], [106, 144], [19, 50], [22, 59], [17, 55], [18, 51], [16, 61], [30, 75], [64, 109], [160, 205], [42, 74], [121, 160], [190, 231], [26, 65], [85, 119]]; loss = 0.008975 low_pass_filter = 0.300
+Epoch 0: | | 11619/? [1:59:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 11620; scene = ['73abd5048eb254a5', 'aa8aacb5df95e356', '78d2e86bc8669dd2', '2c1b4bbf79a3aaef', '74e30a73a5c11c30', 'c2fc6ef65cb36488', 'ba478cd05917a426', 'f78219e90033a43b', 'a32094abd3d9859f', '7cd0dfe42850cc65', 'bc1d9f8f333d2cca', '2d6f6673d121eb96', '25b033bd4c05f4e1', 'e1dae07984c41f6f', '941a8e3ebd83048b', '71e0ca8b39e099cf']; context = [[0, 31], [41, 86], [38, 77], [76, 109], [1, 41], [136, 171], [8, 45], [46, 91], [48, 85], [16, 61], [13, 58], [3, 42], [33, 66], [40, 82], [47, 80], [26, 68]]; loss = 0.013094 low_pass_filter = 0.300
+Epoch 0: | | 11629/? [1:59:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 11630; scene = ['5a3fefc76ff4ee09', '40ea50b25d5808fe', 'ba02405928d0a4aa', '3be599773b6276d3', 'b86f3ce1bbc34571', '15209b5fbb6b8b46', '5b102feeee66dff6', 'f97c2793d856bf9a', '96ee7fc11117a67f', '1b4bf668832e3786', '550411cdc1322414', 'd2de8aa86cea4852', 'c08c569763ecf197', 'eb8b1d524bf52cba', '32cb26b069d88a69', '021396e83a02362d']; context = [[26, 58], [133, 167], [54, 95], [8, 46], [0, 36], [146, 189], [175, 213], [74, 119], [4, 35], [59, 97], [46, 91], [12, 46], [62, 102], [122, 156], [52, 94], [1, 32]]; loss = 0.008648 low_pass_filter = 0.300
+Epoch 0: | | 11639/? [1:59:28<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 11640; scene = ['cfcadf0fe447c04d', '3cd73f5f79d0989f', 'b7b3c6a2d1d6dc61', '7418538ade81e503', 'ee3f3bcb1009b7b9', 'b3d77aa21637ed06', '5e8bff39dc5bab67', 'a126745e68e4fb16', 'c40eccb3fc4c29da', '2bedce9198d2994d', '7b7888f9868095b3', 'b358e3ddb4adb7c9', '8d123ec24750f362', '39ce14a64ed1ae2f', '639ebb79eb48f420', 'fb1ce36de4450ea0']; context = [[68, 100], [35, 78], [12, 44], [212, 246], [8, 49], [13, 58], [20, 63], [125, 170], [91, 123], [21, 54], [54, 90], [29, 63], [14, 49], [109, 144], [72, 106], [6, 49]]; loss = 0.010944 low_pass_filter = 0.300
+Epoch 0: | | 11649/? [1:59:34<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 11650; scene = ['da1d055a8426b8d8', 'fd772f6ff7936a2a', 'e7e9872d59ae41a9', 'bd109e7ed7c027a0', 'f5c8406a588131d5', 'd0b938803065b0f7', '6ea3f9ffb32ea267', '836f0c4495d07958', 'f5f225a43fcecd0d', '446933c7668779a4', 'de51b5fb44137a23', '5449702e7a248c83', '0ba513fbd074377d', 'f2e6470ad27f495d', '650c97a5d26d16fd', '59d453d9a3928400']; context = [[100, 131], [49, 92], [23, 58], [29, 70], [8, 43], [0, 45], [81, 121], [34, 69], [110, 153], [10, 52], [3, 47], [13, 52], [18, 54], [44, 77], [54, 88], [32, 67]]; loss = 0.009971 low_pass_filter = 0.300
+Epoch 0: | | 11659/? [1:59:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 11660; scene = ['86ddb8cd0b6f0741', 'aaa8dfa7e8498bd9', '5019925808a59723', 'f5934f621b0a002a', '96fcce02a7674e02', 'ecc88f03e2e5ef81', 'db77e4c30e954d3f', '23c177f84829d2a6', '9a9367ff87294587', 'fb331a491ca2e5e0', '80fcb09bc1e09f71', '0a830c593f602641', '3e8a5e421d2dd46d', 'c1a27588c9184422', '55b7b2536c1b065d', '612162b515851e55']; context = [[9, 48], [140, 173], [21, 61], [196, 232], [12, 44], [77, 119], [24, 58], [148, 179], [36, 68], [28, 64], [3, 34], [1, 42], [148, 181], [37, 74], [72, 104], [7, 40]]; loss = 0.010817 low_pass_filter = 0.300
+Epoch 0: | | 11669/? [1:59:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 11670; scene = ['db4ff231d9dab8ba', '404a47d74c89b6a0', 'd6f963473691d5bc', '75863b2203d61a51', 'e5fcd9490d306b0d', 'e820844df0b83918', '8822bda998ebebf9', '99953a73e02cf657', '5be06a710f3fe6f2', 'dd811aac95fe2a28', '79a0e8398b6a1cc1', '7418314e76240536', '210c21e8248a76f7', '9f06cf0ba2ddd1c1', '5e494fb5e1e7b29a', 'b14f5a683aba2898']; context = [[35, 80], [7, 48], [87, 124], [66, 101], [3, 41], [19, 57], [22, 58], [93, 129], [69, 111], [36, 77], [24, 62], [8, 49], [57, 89], [33, 67], [122, 166], [20, 54]]; loss = 0.009687 low_pass_filter = 0.300
+Epoch 0: | | 11679/? [1:59:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 11680; scene = ['3e8b48b14798f1b9', '643c59587f0c6ace', '9bc1c2f13f879d20', '097b23d5ae2aa4de', 'c6cb7394690cc9e0', '4907375e0a4de10e', 'a10052fb69f15ffc', 'd33be1bdf678f485', '3f30aa84e7305602', '8708a0e8c937038f', '47b3e5d4b3b534e5', 'd23794b5e86c3b7c', '09a0b9fe4c9b0691', 'fb0040c94bea2a4d', '026b6ccfcd08ea80', '6c450e26a09407a4']; context = [[15, 49], [3, 44], [14, 49], [14, 58], [0, 37], [7, 46], [75, 116], [18, 54], [61, 93], [7, 40], [4, 42], [4, 40], [28, 69], [136, 174], [153, 193], [159, 204]]; loss = 0.008990 low_pass_filter = 0.300
+Epoch 0: | | 11689/? [1:59:58<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 11690; scene = ['f179064b7a845fb1', 'de51b5fb44137a23', '8055c456d35e5747', 'f5f225a43fcecd0d', 'd0b938803065b0f7', '6ea3f9ffb32ea267', 'da1d055a8426b8d8', '446933c7668779a4', '836f0c4495d07958', 'e7e9872d59ae41a9', 'fd772f6ff7936a2a', 'f5c8406a588131d5', '8ed0d973443d12a5', '3eb3cf4f286590da', '3ab9b7649181c36f', '45404925d497bd85']; context = [[133, 171], [6, 38], [7, 45], [106, 139], [12, 43], [30, 67], [2, 36], [22, 53], [10, 41], [0, 35], [11, 53], [43, 75], [130, 173], [199, 238], [26, 65], [120, 153]]; loss = 0.009230 low_pass_filter = 0.300
+Epoch 0: | | 11699/? [2:00:04<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 11700; scene = ['e9a018b75e1c0ee9', 'ad5885cdf02ba3aa', 'bc5c89ccb8b60ee6', '8aa71060eb2a7298', '6f9c7ad031578758', 'fb01f5097fbb0cff', '3fcd47dc9a98033c', '84ddcc7fc4efe906', 'ad8515c821075061', 'ed32f5c2550ca9d8', '2c00e3b9941759b4', '2f4d619df72bfc71', 'c57a71f6511a205c', '13bc6744879e252c', '215f7e7f01a2cf01', '71cca070093ecffa']; context = [[77, 120], [14, 46], [29, 62], [3, 41], [110, 145], [75, 112], [0, 44], [10, 43], [170, 206], [0, 34], [89, 131], [56, 90], [1, 42], [146, 185], [108, 148], [20, 59]]; loss = 0.009674 low_pass_filter = 0.300
+Epoch 0: | | 11709/? [2:00:10<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 11710; scene = ['b385335fb75e585f', '840549e3e9a07463', '1b94ff23d213ff95', '0be7ab3df88c9c6e', '9c7f566e1aa31a8b', '5e05a3bb4a7b2408', '36e1163e28f2bfed', 'ae5102a2fddf072b', 'b30bae372ee0cb0d', '90a1c5e227743bdf', 'b02e382c90afbda7', 'eece18309729d1f1', '240037205a68904c', 'b73c82a030426b3c', '3b807d242f762c84', '9782a6bef3692f75']; context = [[170, 212], [54, 87], [2, 47], [100, 138], [76, 109], [139, 175], [10, 43], [7, 39], [17, 53], [3, 48], [40, 72], [93, 134], [220, 253], [20, 51], [70, 101], [31, 70]]; loss = 0.011030 low_pass_filter = 0.300
+Epoch 0: | | 11719/? [2:00:16<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 11720; scene = ['ade2239a68449d67', '27980cb6205aed02', 'b9ffdd6786ddc018', 'd1fa4e26c8e5d32c', 'fb73c1c5f2889329', '034e4f9e2b30a3ca', '0ba5c7641900eb58', '470f6a9cdba0a1d5', '299df18f61e685c7', '9087cdd4baa858d6', '0eb569a5be0c965c', '97a236f849d3043a', '95cd28864a17ccca', '75f00f8813c7a3b1', '4fb40dc3a4716a0a', 'fa3d7ea00b62e8da']; context = [[30, 74], [57, 94], [46, 89], [22, 56], [28, 64], [76, 116], [18, 62], [46, 87], [130, 164], [5, 48], [51, 82], [114, 147], [127, 172], [4, 44], [58, 100], [55, 99]]; loss = 0.011729 low_pass_filter = 0.300
+Epoch 0: | | 11729/? [2:00:23<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 11730; scene = ['565c69d4e200fa4e', '7214f16379a2cfcb', 'dbfc3f7573753601', 'ce38c38d4f61c599', '3b4451e10b79e555', '6c4cc8781a04dd6c', 'c4bacb055e2540bc', '6ccc2acf7133aec1', 'f16461e58448c4a6', 'a071d9276f6a9272', 'ff4a1fdcceb11eac', 'd4f1e8b6c1597afd', 'eebc10a8972de7ee', 'ce2a1c1f5d1dcd1e', 'c7cf9b63dc3e5830', '4a9396facfcfdfe4']; context = [[54, 89], [39, 75], [54, 86], [0, 36], [19, 59], [29, 70], [18, 49], [64, 103], [1, 35], [69, 104], [35, 70], [131, 166], [78, 116], [5, 37], [37, 68], [16, 55]]; loss = 0.010570 low_pass_filter = 0.300
+Epoch 0: | | 11739/? [2:00:29<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 11740; scene = ['9490f47618eac025', 'df5ec669a18bd867', '00259da07b0dba33', 'ea99cad2f352b54a', 'ae2c33fc435d7613', 'aea87b7cc45be423', '87a64b94f041d188', 'a588e1cebdfb4b13', 'ea549f4f1346bd78', 'a9c74aa59d6a1b47', '7f656223fcc8913e', '5cdb1885cfb02fc3', '7ac6fe6b418993b8', '941e4f4114b4f932', '1725fa1cae244fa9', 'f04477958cf96d00']; context = [[94, 136], [36, 73], [33, 70], [30, 74], [7, 40], [92, 134], [78, 119], [172, 215], [83, 121], [50, 92], [216, 252], [128, 169], [60, 101], [78, 119], [0, 38], [46, 90]]; loss = 0.010358 low_pass_filter = 0.300
+Epoch 0: | | 11749/? [2:00:35<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 11750; scene = ['394a80a410049b97', '952518da70706c27', '63e7c533debc1cc6', '0548de5024c713a4', '35c7e73002aa5bc1', 'a0114e2b6cd504bd', 'e3f8c8880b5884c3', 'b981274d6200dee6', 'c7eedc91db747c3a', 'c97d905b9b4be11b', '4811d8b25548586e', '0b3450e60786b915', '4444717bbd6638d5', 'd101a39a319befa5', 'cb2397daeb2ee8e4', 'f471211bbbc65a17']; context = [[130, 171], [16, 60], [144, 176], [19, 54], [21, 61], [159, 201], [6, 39], [29, 60], [94, 127], [54, 98], [25, 65], [5, 45], [66, 97], [58, 97], [44, 82], [89, 126]]; loss = 0.010110 low_pass_filter = 0.300
+Epoch 0: | | 11759/? [2:00:41<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 11760; scene = ['5ae14b01a500682a', 'b3c96d2c36c94425', '3670d3f2b5b53c15', '0836698809f746c6', '22b97501681b7458', 'a74acf99e81d7a6e', '420b61967c60d09b', 'd27399ddbb98483c', 'b2a77d5fd2f6f773', '3d7f5076c683cc80', '0f97723fd22c07c0', 'ed738053c763cacf', '2ae8d6c6510417cf', '5b39212a0664e8c7', '0c25875ac5440b66', 'a3af6cb061c06d46']; context = [[59, 93], [80, 117], [33, 74], [28, 72], [18, 53], [48, 87], [14, 58], [75, 114], [67, 111], [113, 147], [86, 130], [9, 45], [1, 39], [56, 89], [20, 62], [12, 48]]; loss = 0.011195 low_pass_filter = 0.300
+Epoch 0: | | 11769/? [2:00:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 11770; scene = ['aecaf8906a0a9bb1', '09c65d81dc3077f9', 'e70318df450ef2d3', 'f70bb4d0420a0db8', 'a88aacae0caba416', 'bb3ea257b38259a4', 'dacdbfb398ff5f6d', 'f10782ce78501840', 'a6e57377594a7a40', '148d73d25691beab', 'e313fc42cfe43a81', '08c6d6ab90e6b86b', 'c53eb8ed399c3598', '507b9f1675988055', 'd67ff3b1493cf038', '15f89ff3e4a8ddf3']; context = [[41, 84], [68, 101], [120, 165], [189, 220], [9, 47], [1, 46], [64, 108], [102, 133], [39, 71], [1, 37], [101, 138], [36, 71], [96, 132], [51, 93], [130, 167], [20, 58]]; loss = 0.011587 low_pass_filter = 0.300
+Epoch 0: | | 11779/? [2:00:53<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 11780; scene = ['6d5b5729fd856041', '348f41557b28f27c', '5e00fe8ddb44c346', '7914a7f008a2a4b5', '169edee379eb34ea', 'e6e089811d63abbe', '1f4bb4d3ae5384e4', '65459c55dbe18f31', 'f0b4753901c7d813', '987f25668fb32ad3', '1f42a6ad27156511', '04d1ae2f373d84eb', '2b6cbde5be5750ea', '6eb80b416e39b0d8', 'f38d30f6f359f68e', 'be5485624e33be91']; context = [[13, 57], [67, 102], [9, 40], [1, 34], [64, 98], [26, 58], [104, 141], [3, 45], [43, 82], [20, 53], [48, 86], [28, 66], [95, 138], [92, 128], [30, 61], [0, 35]]; loss = 0.010808 low_pass_filter = 0.300
+Epoch 0: | | 11789/? [2:00:59<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 11790; scene = ['29ad7f2d5b0f798a', 'c047d0dbbfde98e4', '8c311d826f923a77', 'f00cff8f4ae371a4', 'a97eef4d4e9f345e', '53b0a4720f4912bd', 'cbbd98e0f99af188', '7c6d4de848377911', 'd12ba3a2ac78cfb6', '50c9b910f6706ed5', '1fd4fba41c85f3c9', 'd36fc8d3f149522a', '9f655edf6923e6cf', '50eca5cae5cdad57', '9b2d544c36b4e88c', '3e73ddaf0ee94d48']; context = [[21, 63], [167, 199], [135, 169], [3, 35], [0, 38], [239, 276], [64, 96], [75, 108], [20, 53], [57, 99], [68, 100], [94, 129], [52, 84], [36, 77], [5, 46], [115, 156]]; loss = 0.013407 low_pass_filter = 0.300
+Epoch 0: | | 11799/? [2:01:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 11800; scene = ['802520a7ddfd5f22', '84669dc88abb2e9c', 'c03f0fd23901bbda', 'f3ca83f9f1a724e5', 'b6a00c02405f91c9', '943ba380f930ba42', '7f04e2db1a0194ef', 'bf7a9d577bd81dd3', '2fe65762fe742c92', '9c40bd34bf257a2f', 'cf4339f5f5f6bcd0', 'e36703ea5319facc', '386946683ab3f8b6', 'c1ece8e4c3255932', '31faf11f780fd4e2', 'c36502c018662df6']; context = [[51, 86], [25, 63], [11, 47], [18, 59], [6, 39], [92, 128], [121, 159], [22, 61], [10, 47], [53, 97], [90, 130], [29, 70], [205, 250], [73, 114], [3, 43], [23, 61]]; loss = 0.010117 low_pass_filter = 0.300
+Epoch 0: | | 11809/? [2:01:11<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 11810; scene = ['53d2992e5899c3d5', 'ab88a6b3b387dac9', 'b7aeefdcf8c006ec', '0143e8470519b0c1', '9eadbd1dc0bedf12', '2427f1dce789bd25', '32dd8e58c56b2412', 'eb96c012e5accb8e', '8cac5b522805ff10', '25923a5a8700f06b', 'fc609053403c060d', 'b686f91c36fa4e0a', 'af5cd9d21317b049', 'e3aa1108e83ef946', 'a50f47fbc6f4652e', 'cb12216cd8e217bf']; context = [[2, 42], [57, 101], [45, 87], [22, 54], [6, 38], [212, 246], [53, 96], [37, 72], [17, 55], [66, 102], [8, 52], [26, 66], [88, 123], [15, 54], [58, 94], [41, 85]]; loss = 0.008132 low_pass_filter = 0.300
+Epoch 0: | | 11819/? [2:01:17<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 11820; scene = ['4e364784e83500b5', '4bfb801ecdad7148', '2d3fccc84e8dd3f4', '30124191dafb3383', '00ae4a6d0bd2eccc', 'f4020f90115a2b8a', '560f67df7fafa36e', '51835ff828009889', '49dcef9a0f25a2c4', 'ad6996ece8de4321', '3bcc68a17953c75a', '2681a222b2de8212', 'aaa35d5b558b2928', 'f4d5dd4c8d4152ee', '0979d74fb6229f17', 'aa43846bd2c5e3bb']; context = [[37, 78], [1, 33], [192, 224], [35, 72], [0, 34], [45, 89], [21, 58], [38, 74], [1, 32], [13, 44], [55, 86], [2, 45], [10, 41], [62, 106], [14, 58], [100, 135]]; loss = 0.008147 low_pass_filter = 0.300
+Epoch 0: | | 11829/? [2:01:23<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 11830; scene = ['1d76c3d341a60952', '5e0599134dcfaeea', '726929198a0059c6', '32499509bb075446', 'f84b1a9902b54c5f', 'c7de48f091ef8f81', '1cb82090de1b4ee1', '2a13f41268478afa', '02a0ccd1bd1a7696', '52d583eceb3d3979', 'e9bc1c5024c66510', 'a237ef616a3b03f5', 'ad479fe612717b83', 'dc691056764fa534', '072e09312e1c44b8', '7c240633fd3203b5']; context = [[32, 64], [28, 67], [19, 60], [177, 217], [2, 45], [9, 53], [136, 181], [94, 130], [210, 254], [63, 102], [1, 41], [3, 39], [6, 49], [42, 87], [10, 54], [28, 73]]; loss = 0.009317 low_pass_filter = 0.300
+Epoch 0: | | 11839/? [2:01:29<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 11840; scene = ['0a3c5ae29bf2cb59', '1a20aac3a317d67e', '9beaef3924b260b5', '62560eba3ba6f77a', 'ed6c9a5913622c3d', '51c1d0c26b7307b9', 'ac0a5fb83c20516f', '60b23fcb19992892', 'e0473d7d656f6e17', 'f2b8d7feb823057f', 'cc27e607dbfdac8f', 'b3aa335a5095564b', 'c577c31302675f04', 'e485f3bd0dd46f04', 'daf3b5445dda23fd', '55ff5f5024b9f532']; context = [[95, 126], [18, 50], [88, 124], [26, 59], [42, 85], [46, 78], [238, 270], [26, 66], [33, 74], [78, 115], [47, 82], [0, 40], [75, 115], [213, 250], [15, 54], [18, 59]]; loss = 0.010259 low_pass_filter = 0.300
+Epoch 0: | | 11849/? [2:01:35<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 11850; scene = ['7c5b46a34157e77b', 'fde72c5779d294aa', '629e4849c3d26620', '6679f59d495204c0', 'a4e0f20145b56429', 'b9f12695db134381', '7dd74970fdc4c81b', '46aef4912a548d21', 'b6af197151ca0543', '7f68605e483cb231', 'a69c46f6bf343d2c', '08e8d767c22b2f76', '3f5a3f57adf8a7da', '4e51832db28d7a2f', '12558d2c2bc93e4d', '6b5508cc07fd8bc8']; context = [[5, 43], [183, 224], [43, 81], [56, 92], [33, 74], [1, 37], [54, 99], [141, 172], [47, 89], [21, 60], [96, 138], [10, 48], [152, 193], [2, 46], [2, 33], [0, 42]]; loss = 0.010575 low_pass_filter = 0.300
+Epoch 0: | | 11859/? [2:01:41<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 11860; scene = ['61491d87e3e6ca60', 'ea297d66f60d6b3f', '034a57b1ea3c8ca9', '053ae5f5b93b1d20', '81200ff43940ce90', 'ec50fa67a550aa17', 'fb6c585450410ae0', '582179e6a58732db', 'd77ffc6a0bc1b514', 'c5197c6f18fcfab7', 'c0866648804899eb', '5d00a543f59ea3ab', 'f91d97a02869cbd5', '7159d6505aa199b0', 'bdcf63d0e401dba9', '8309dedf60ef56c5']; context = [[44, 78], [31, 75], [16, 58], [40, 76], [4, 39], [194, 239], [5, 37], [43, 87], [2, 36], [152, 188], [35, 76], [220, 258], [70, 109], [30, 63], [9, 46], [4, 36]]; loss = 0.012172 low_pass_filter = 0.300
+Epoch 0: | | 11869/? [2:01:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 11870; scene = ['f41915d4a145f023', '204880793f5295f0', 'da828b199e8c4a73', '2bae15c9bc833a3b', '3e728ab85f6d379a', '67748b0b9af1a23d', 'be5df0ca4b8aa89b', '2b1474ef6b7f54c1', 'cb25459349f37a83', '13f1750202277c01', '2d0f0343858859ee', '31bdd3ef9c2cb639', '0fd8faa9473eeb6c', '74001972901b7a03', '9776b8ac431275ab', '647c92e70b37c9c7']; context = [[38, 75], [0, 31], [9, 49], [97, 141], [86, 117], [13, 45], [21, 54], [29, 72], [18, 56], [4, 49], [92, 136], [31, 73], [0, 43], [128, 163], [118, 155], [83, 115]]; loss = 0.012839 low_pass_filter = 0.300
+Epoch 0: | | 11879/? [2:01:53<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 11880; scene = ['bc9ed05d37d20268', '0d2286f126b83312', 'ad8ed44bc4adc65f', 'eb8cf09366261059', '9757e5d3f5898474', '82853cb679bdc466', 'ea194405414b27e5', '5902666d915570b0', '50321b969aeed936', '082ba86063ee7e6f', 'fc15fd0a7d1bd1b2', '4b6452c634b79f57', 'fb56af60d6f44825', 'bf9a4b1f7627c273', '22d8382cf0164976', 'ac04b9c416792d26']; context = [[133, 173], [27, 69], [9, 40], [81, 124], [119, 164], [9, 45], [38, 80], [13, 55], [36, 73], [180, 215], [10, 44], [28, 63], [38, 74], [11, 52], [103, 139], [15, 59]]; loss = 0.010818 low_pass_filter = 0.300
+Epoch 0: | | 11889/? [2:01:59<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 11890; scene = ['e3d743c0a3aeaae2', '319a31f5b39470e3', '44a06a79451f1d5b', 'd162f61100eaa1f5', 'f7b66cf4efb27146', '57a2e1f94490e770', 'fa5c230cb2fa768e', '105cb87f72ce69a8', 'b4e6ee21387ace94', '378c2fb1b45c30d7', '41aff47d6824d66e', 'd1bf37200ec6b9f3', '45dd934cb342509a', '41d4abcff79ce1a2', '7064a41c06854720', 'e2633bd88045350a']; context = [[98, 139], [162, 198], [21, 62], [24, 65], [2, 35], [21, 62], [91, 135], [200, 232], [13, 58], [64, 105], [0, 31], [137, 173], [5, 38], [0, 35], [63, 96], [162, 197]]; loss = 0.010347 low_pass_filter = 0.300
+Epoch 0: | | 11899/? [2:02:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 11900; scene = ['0c7109f0c724b646', '72c9e010f8e37e8d', '796f9cc544565921', '54638ffc419fec69', 'eb7c7a3cabdebb09', 'b85114255018b6f4', '421667feb0be923a', '129c6eb499de317e', 'bdfb7017a16fb8ff', '2aa779433bb5d794', '209a430849ed8266', '42a868a8da9e7039', '8c6c789f025a5e42', 'c6189d1dddecc92d', 'aa32d19e98f77cdb', '7f9dff2e30b4bfc6']; context = [[1, 41], [80, 111], [66, 110], [65, 104], [53, 98], [39, 82], [17, 58], [14, 58], [73, 116], [23, 63], [45, 90], [7, 45], [22, 63], [133, 174], [103, 141], [38, 71]]; loss = 0.011241 low_pass_filter = 0.300
+Epoch 0: | | 11909/? [2:02:11<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 11910; scene = ['b17a4057ec690a1a', '72cd35a718e0120d', '1b387f2dc63125fe', '10708f738dc1cdcb', '104007f70e21a2fa', '6f81e13e86ca60e2', '3fc3ffb2f9324d38', 'd17e5a7ff26a23b7', 'dc95b36f9cc74567', '11233628023da8b6', '824c1c262eae6e13', '5f47b4f31b346a17', '77210b9d48fc2c62', '92ecea59a68d3818', '4d88a2b61e490210', '69f7e4f788c49aa4']; context = [[33, 75], [10, 49], [61, 95], [23, 62], [19, 57], [31, 68], [91, 131], [0, 32], [90, 129], [52, 86], [3, 41], [23, 68], [3, 46], [4, 49], [15, 54], [51, 89]]; loss = 0.009248 low_pass_filter = 0.300
+Epoch 0: | | 11919/? [2:02:17<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 11920; scene = ['8b60b394df2a9220', 'f3d21d375f937dce', 'de02237229575e23', 'e7431d87279f2f40', '763fbba111a520fc', '2f1f43ea5b2766f4', 'b7f4f08c3ee747cf', '52c81276984654b7', '31b4b2836cd69815', '507726c99440971e', '80b613079b76859e', 'bf3dde450fbcb9a9', '0b159acff5da2cd0', '557991422dfcffa5', '47f6fcc9d713c0e9', '5ea8390f949c9c5e']; context = [[17, 56], [12, 57], [103, 146], [153, 194], [19, 58], [12, 43], [14, 46], [6, 47], [35, 75], [214, 251], [13, 51], [28, 60], [71, 107], [68, 107], [46, 91], [7, 49]]; loss = 0.007847 low_pass_filter = 0.300
+Epoch 0: | | 11929/? [2:02:23<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 11930; scene = ['bd92ad43a04f9997', 'cdaf697957c30177', '9bbc20c7beeb031a', 'ab3352b378297865', 'ce2a43daf508bd6f', 'cfd21e505b9804be', '1f7d98ea73c32c36', 'a190cb946726d886', 'b6bddb14c9ed230b', 'b27b5bfe5e4a5aec', '1ec05b1217b8faed', '03a91501aac2c6cd', 'a27eef8a648834bc', '75471527ff3b5afd', '35bf2746e0a4e79e', '6a1ea67384a032e0']; context = [[204, 246], [2, 47], [31, 75], [57, 102], [46, 77], [25, 62], [88, 131], [139, 170], [3, 44], [2, 46], [15, 50], [8, 48], [201, 238], [7, 48], [25, 59], [133, 170]]; loss = 0.008991 low_pass_filter = 0.300
+Epoch 0: | | 11939/? [2:02:29<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 11940; scene = ['603b6eb2eba559bb', '81fe719d8b39d5b3', '1402ebed2813db03', '61253d9ece7b9bf3', 'e1dfb87d2913b279', '072e09312e1c44b8', '6992c59cc9057772', '4397f3a11cce932c', 'a70857b8984c9071', 'a26ce2d066354ef8', '7c240633fd3203b5', '2c6fc82128274bd2', '7dff7cc241357591', 'e199c79aa53f3143', 'aa89328fd849d813', 'd955d083ff826ae1']; context = [[66, 99], [46, 88], [62, 93], [7, 38], [68, 106], [21, 56], [0, 36], [111, 142], [102, 138], [18, 62], [21, 64], [8, 46], [27, 60], [46, 87], [2, 42], [6, 37]]; loss = 0.010175 low_pass_filter = 0.300
+Epoch 0: | | 11949/? [2:02:35<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 11950; scene = ['6a4fe529a00082f2', '2d417198a5ebd20e', 'b05e5158361732c9', '06f60580eba61d9d', '6a6beb90616e4f37', '5d167006936398f2', '6792d6a4f4e87e24', '337c66222a513af2', '5f22fdf235746488', '56c92457c51952ec', 'cfec50872cec53bc', 'ecc15d661d8dbe9f', '42c7147c591f47cb', 'e150d93af0c99bce', '08f3bdfcb2b56aa8', 'c41082400deaab80']; context = [[137, 170], [1, 44], [39, 81], [13, 49], [82, 115], [16, 48], [26, 66], [71, 102], [23, 59], [16, 57], [9, 43], [95, 126], [24, 66], [87, 128], [11, 47], [7, 52]]; loss = 0.010141 low_pass_filter = 0.300
+Epoch 0: | | 11959/? [2:02:41<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 11960; scene = ['0f80349efadcafcc', '4d939cb4f5310c99', '1bdc3545839f87fd', '2b2dc9cd1a3408e0', '55ab1f69eca7f59e', 'f9cc10023bf41280', '7d30d61c78c62100', '490a8076c6258f22', 'd80659d665f7b903', '9174b7d336b16faa', '862bdc7209e163ea', 'd3c13f24d1748e4e', 'a588073ae3085066', '42b4c926e4c0b0c3', 'd8af738fe0e075cd', 'c364ab8ae4c07ec2']; context = [[4, 39], [1, 33], [52, 83], [46, 85], [43, 75], [35, 74], [14, 52], [13, 47], [119, 154], [82, 124], [131, 169], [138, 169], [161, 206], [14, 59], [7, 44], [160, 195]]; loss = 0.010602 low_pass_filter = 0.300
+Epoch 0: | | 11969/? [2:02:47<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 11970; scene = ['7b8f05e4998d2e19', 'a90d7e1f603c2678', 'b8ab08f0e030777e', 'eaa649b69e528f27', '0ceb49cb761bc66c', '9b551ae79d8c7141', 'a3d2514e6567fe0b', '84814092df31ec91', '58f512448a5e2f0c', 'e6b981d699cb4031', 'e1ca7fc229cf24c1', '947f3ba9b79e515f', '01a156f1f7828d08', 'b07d8d600cc3cfa1', '72f07cca7eb20710', 'ed38411cdf101025']; context = [[5, 48], [34, 68], [40, 79], [38, 77], [47, 86], [23, 60], [81, 125], [37, 79], [42, 73], [99, 130], [21, 66], [37, 75], [139, 170], [2, 47], [57, 92], [40, 79]]; loss = 0.009342 low_pass_filter = 0.300
+Epoch 0: | | 11979/? [2:02:53<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 11980; scene = ['d800d4da5605b3d6', 'd438e6b186071150', '90beb28f8720f849', '5c047522c1e8764a', '70b6c45280496e84', '0b8049e94cc33a66', 'e970eebc4848850b', 'c75dd6b151fc618c', '39fa6b21b5a2e65e', 'cb6a581957b0a925', 'a7fe1e367a54260c', '86168d9408d50c1d', '4d7f27209cb09538', '644c17fea392fcad', 'd15676d8db5e0db0', '20c6b34228f318ef']; context = [[28, 71], [2, 34], [148, 188], [118, 162], [30, 62], [94, 138], [126, 159], [36, 79], [13, 51], [166, 200], [57, 101], [39, 80], [14, 53], [7, 44], [22, 56], [114, 152]]; loss = 0.010270 low_pass_filter = 0.300
+Epoch 0: | | 11989/? [2:02:59<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 11990; scene = ['4c01186382ecdb09', 'f139ab06e65c3762', '6854cdb73b5a95d4', '0a08efb286b97b9b', 'd69dd8917d2e2142', 'cfc2dff63bf01958', '84d357fb13b45975', 'b210d0377ab51282', 'e769f586e71e7aed', 'f5b92161da94c240', '707532eae3641c9b', '9a65556aae220044', '04304e68415ce356', '0e36897986bbddeb', '3dc96c1bb9abb3e3', '91c58367dea67871']; context = [[107, 138], [73, 116], [33, 66], [88, 132], [32, 73], [29, 70], [31, 63], [47, 81], [136, 176], [29, 74], [122, 157], [29, 67], [25, 58], [34, 65], [144, 176], [39, 75]]; loss = 0.012824 low_pass_filter = 0.300
+Epoch 0: | | 11999/? [2:03:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 12000; scene = ['b373eeb00c590d9d', '0ddbcb756905070d', 'a659f0d8f7a8fcc8', '1f2eae1083f108ad', '8cc2ee4703ad7192', '6a53118833481290', '401ce8a065750160', '7a33856e537d35ac', 'eb2089db75a8c8e8', '793428d6ae107891', '4a178a4f32b0977e', 'e9ee332cdbd694df', 'f12189d951f4e8d1', 'b895902bff2921c5', '3cad19774ffc97dd', '52e3848d4a28a57f']; context = [[3, 48], [2, 40], [13, 57], [85, 124], [37, 68], [24, 67], [0, 43], [70, 115], [25, 56], [1, 42], [39, 78], [2, 37], [6, 39], [1, 37], [31, 63], [77, 117]]; loss = 0.012264 low_pass_filter = 0.300
+Epoch 0: | | 12000/? [2:03:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0validation step 12000; scene = ['97ef4323919c5e8a']; context = [[36, 72]]
+Epoch 0: | | 12009/? [2:03:12<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 12010; scene = ['80d82fe6cd88186c', 'f69e5ed85946337d', 'ff5926af50275b6e', 'b1bb68bc47ee5b68', 'c7469d734caa6589', 'fda4975df49b4ea6', '3cb5133227ba02e9', '3f6274ca0dc5dbb0', 'ec09cd06976bb6ed', 'e7b82ba02f9f37f4', '7340966e764f81b0', '55fb1bb001195c2e', 'c8d9b5cf9ebb5419', '03f7460f8917b6d5', '2fad8eea9cc3616f', '2ad704f011637e4b']; context = [[49, 91], [170, 206], [22, 63], [17, 51], [26, 60], [173, 216], [0, 44], [30, 73], [23, 68], [50, 90], [2, 43], [20, 64], [118, 153], [172, 215], [18, 50], [2, 34]]; loss = 0.009065 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 12019/? [2:03:18<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 12020; scene = ['18c6d122fe4c3dc9', '7e3991a1e57c1b92', 'cc9c60269e489a99', 'c9fb94c034427022', 'b526812abb4244ea', 'e621fd73ae473881', 'bdaf42f6d92c13a4', 'e5ec53baa443456b', 'a144d1791f033ad1', '6b03f3ad9c835c21', 'e26067b30e26eaa5', '99898ddec952df0b', 'fa0d3eb64efeae96', '0aba522b24ee4f65', 'e80810876083e4d7', 'b83caf4688d7f773']; context = [[0, 44], [53, 87], [30, 71], [1, 35], [47, 89], [50, 91], [137, 174], [5, 40], [8, 41], [58, 95], [40, 77], [42, 84], [75, 113], [138, 170], [18, 58], [126, 169]]; loss = 0.011456 low_pass_filter = 0.300
+Epoch 0: | | 12029/? [2:03:24<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12030; scene = ['ee97af25dc219018', '83f01c4310f19278', 'e852d57c6de796cc', 'd585e74d7e2b840f', '525bdd8b89129054', '5d707a2d57727069', '35ce3025267c7ba7', 'ea79dc836a78061d', 'e6fb9efae0406aca', '177e31b9d7d375e8', '27ec00bdc19a15e1', '29015f8505119460', '11e172e433f7e055', 'a3dcd56be6efe531', 'f4a60efb78719207', '12945d32f3aa263a']; context = [[204, 244], [40, 81], [25, 57], [1, 34], [35, 76], [42, 75], [141, 172], [51, 89], [7, 47], [13, 47], [44, 78], [38, 69], [47, 83], [23, 54], [178, 217], [14, 58]]; loss = 0.010910 low_pass_filter = 0.300
+Epoch 0: | | 12039/? [2:03:30<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 12040; scene = ['4174e812c0474d77', '169b3450c206409c', '31d30fddbd27c955', 'aee46149e705448c', 'c747a1c3ba8448e8', '3bcfb2de955143c2', '95d8fdbde6d3bc0e', 'f708a1924342daa2', 'ff9c615f0b79a62e', 'bf42ddb0b05a042b', 'a4be14ed97b5545d', '2c1209afd2fa704a', '8aa808a0b8f615e0', 'e5bfd08a1401f48a', '9131db90d0d6a335', '8f00ee0979b9f3eb']; context = [[117, 155], [1, 37], [28, 59], [38, 83], [86, 131], [0, 31], [89, 122], [193, 227], [20, 52], [4, 42], [78, 111], [6, 48], [30, 69], [76, 118], [150, 189], [5, 49]]; loss = 0.010112 low_pass_filter = 0.300
+Epoch 0: | | 12049/? [2:03:36<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 12050; scene = ['8aad33b23262e8f3', 'f12a998cedc553f9', 'bc72d42a14994709', 'aa0286372034e338', '33adc68fe41da745', 'b88db7960be465ab', 'ea34fe29b32d99f1', 'c301d66da36ab4f6', '9c248f0c3e94154d', 'c21a7d55e154f542', '944da8caf16bf01d', '592c1eea73fa43a2', 'ba94402402fc0c58', '9928ce087f146444', '359af2b0f4c26712', '2dfd824c1516f925']; context = [[9, 53], [7, 38], [126, 159], [24, 67], [89, 125], [150, 187], [35, 79], [50, 87], [131, 163], [88, 125], [19, 51], [26, 57], [119, 162], [135, 178], [31, 64], [60, 97]]; loss = 0.009599 low_pass_filter = 0.300
+Epoch 0: | | 12059/? [2:03:42<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 12060; scene = ['d5415ea8c79b23bc', 'e2970558f4892f7a', '01e5207480d75225', '816112a90ba0035b', 'd0c0d5fc515e76ae', '471a35c1cd5a8179', '2d65c93575c6a883', '0aa601b42a2b5dd0', '5e39a2c628afc961', 'd11585d9e4853dc5', '3c1643ec85fa8447', '4a19cedd1223cf8d', 'c17870a4700adfe8', '72d827d8b9fb16d7', 'f4ba1460268eac35', 'bbfe24412b6a31d1']; context = [[15, 53], [105, 149], [7, 41], [21, 60], [56, 89], [36, 76], [29, 72], [161, 196], [20, 54], [2, 44], [18, 53], [94, 136], [0, 32], [25, 61], [3, 46], [38, 81]]; loss = 0.011546 low_pass_filter = 0.300
+Epoch 0: | | 12069/? [2:03:48<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12070; scene = ['18f1bc96d6891bb7', '8a7edd543d8e8b8e', '45fd83f6c3984135', 'd256c361e38b972a', '4d872dbf6131857e', '6276ebdd8da3e8e8', '4a39078eced3e6dd', 'd2e5a24f7ee050cd', '773b92dc2ad6a167', 'e937b0dc0d4087c7', 'eae04af75fd19e9a', '299914f7e1db8f77', 'a334140a11754b94', '5ebad017de4dab58', '23d4288655d34ba2', '6dbb0a5f48f2652b']; context = [[116, 154], [11, 42], [53, 92], [49, 84], [97, 129], [34, 72], [10, 46], [43, 79], [40, 72], [50, 85], [14, 52], [54, 86], [64, 104], [3, 48], [29, 65], [9, 50]]; loss = 0.009216 low_pass_filter = 0.300
+Epoch 0: | | 12079/? [2:03:54<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 12080; scene = ['021fe1a2ec9ab0c3', 'd160f5db0709ac47', '33e3195b131be3db', '9b1ceb9438c33ab8', '7005e1c300bf8b2a', 'b5b4cd966ac738ab', 'a4f2de45c55864d7', 'a0db5e62f8c4f6e7', '3b5ecc7fa7f0597c', '3ca571cdaf0080ee', '22c651e15b5d5339', 'cd80c587743d9836', '8c662a617235e175', '42c32233f309708c', '808d34c910e9f8ff', '3888df11c21d4db5']; context = [[64, 106], [53, 84], [0, 44], [31, 69], [27, 64], [20, 65], [29, 64], [81, 124], [11, 47], [0, 31], [7, 49], [29, 69], [54, 99], [60, 103], [208, 244], [26, 58]]; loss = 0.011998 low_pass_filter = 0.300
+Epoch 0: | | 12089/? [2:04:00<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12090; scene = ['5c5681473a27d80f', '841c18be069dee4a', '6624146c64b95cb8', '3eceb0c08c08242b', '58a5dc4980d05a6c', 'c2b40188e989bab0', '3b6586c3b5c64f35', 'cc704ce1c3a4c350', 'bfecac3e3bfe37c3', 'bb31564840f2db2f', '09f812fa28cf509e', 'ef033bb52be535d7', '66b806c42bf3c0d5', 'ea6934fc7d7b6a08', '962bf8736f57fe5e', '7d8396be45845c71']; context = [[35, 67], [46, 90], [4, 47], [35, 78], [13, 48], [1, 43], [107, 152], [0, 31], [33, 70], [42, 81], [23, 68], [35, 74], [55, 96], [20, 51], [23, 55], [5, 45]]; loss = 0.009505 low_pass_filter = 0.300
+Epoch 0: | | 12099/? [2:04:06<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 12100; scene = ['861453c483faf282', 'b4c2e12ad3d75efd', '55f2830fc736529d', '02819374b5398ef1', '9005d1006b63b2ab', '0a1aa875aca3711d', '4f3f1aac944bce8f', 'aa416065dac5210f', 'c7fa7cba2aa2da8e', '830e472fdd20b6df', '3ae3d6916e0d963d', 'ded38d3ae876e8dc', 'f8f9eaec8ab860f7', '8868de3626699c63', 'bcffeca308e9651c', 'b54392dde102f10f']; context = [[60, 99], [28, 66], [13, 52], [57, 95], [110, 141], [6, 41], [21, 54], [2, 44], [18, 50], [18, 55], [69, 101], [2, 37], [101, 138], [9, 51], [10, 49], [152, 197]]; loss = 0.011914 low_pass_filter = 0.300
+Epoch 0: | | 12109/? [2:04:12<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 12110; scene = ['abdfc86976ee11de', '673ba323f6aaefc5', '3ec2c40d95abf1e1', 'f6d782005dc5b70f', '95ff7df105ade4ce', 'c76aa64f7f4f0967', '06fed398baf81309', '18a4502aa1a59ed5', '04079c76c9372181', '4db2b26aa4c4277a', '61c58398a28dd9d5', '69fe97eaa5511f9b', '13de5b48f1fd60e3', 'b5d76d0407dd07a7', '2b151a54e0287ce1', 'ab28dcbaaddc294c']; context = [[4, 49], [79, 114], [10, 54], [28, 68], [22, 67], [32, 71], [41, 84], [11, 46], [94, 135], [3, 34], [7, 52], [1, 42], [8, 41], [24, 59], [184, 228], [62, 100]]; loss = 0.008120 low_pass_filter = 0.300
+Epoch 0: | | 12119/? [2:04:18<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 12120; scene = ['65c475803b9b5228', '21dd673017056093', 'f2f21e00e8036928', 'cd6bcd4d2762a4d9', '5d021215098f312b', '42c0257c36a9e803', '0914ab351ada6998', 'a157e3e707b308a8', 'ba8683c7d9392cae', '5e4b0194308cb338', 'e63271fb76683a3f', 'f3368db80c3bd8d2', '881d748f1bf21e60', 'f939a717c8f8cccc', '6e91cba4f0112d93', '503eaacf1899363e']; context = [[49, 81], [108, 152], [21, 53], [24, 67], [39, 76], [3, 46], [13, 50], [8, 43], [130, 164], [19, 50], [1, 38], [40, 72], [6, 43], [79, 118], [8, 46], [11, 46]]; loss = 0.013014 low_pass_filter = 0.300
+Epoch 0: | | 12129/? [2:04:24<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 12130; scene = ['245ccba767bcd121', 'a0a44d5b7e2cb825', '58b43b9b210b78b8', '574c2bc38e3ccb2b', 'a03de7474bf84fda', '02c5189e78da36be', 'eb0aa1a4fb58c50c', '345bdca253923f8b', 'a402c1c32a7ab68d', '441bf0c53d996311', 'cb2506c57773a6bd', '0de7140122fb7783', 'ae40dcef53dd49b6', '588c3458ad208d98', '82a604d37bb914c3', 'a1706e8f70f3de49']; context = [[9, 52], [23, 64], [34, 77], [131, 165], [37, 70], [45, 84], [69, 110], [40, 77], [7, 45], [17, 60], [81, 118], [27, 70], [0, 34], [118, 156], [60, 103], [4, 39]]; loss = 0.012009 low_pass_filter = 0.300
+Epoch 0: | | 12139/? [2:04:30<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 12140; scene = ['61944f66d6b0c7b6', 'c90f01f360645e27', '2cf9926a578c2784', 'ca2e6a9878ee4e4e', '071317a7a935d94b', '264bb76b06bac802', 'be920b88d4014762', 'e1a229bb4540eeb0', '0487496db87013ec', 'd187bead2c4cc455', '51d0ae0aebbd9af1', '1eba1805fa0eba9b', 'fdd0f62113d4f4ad', 'fce1137a35c75426', '381fe9c18a25d741', 'a0481c0069aac78e']; context = [[141, 180], [18, 63], [69, 102], [21, 63], [93, 131], [152, 185], [7, 50], [44, 84], [37, 68], [10, 41], [3, 35], [8, 39], [3, 41], [57, 94], [63, 103], [24, 58]]; loss = 0.013060 low_pass_filter = 0.300
+Epoch 0: | | 12149/? [2:04:36<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12150; scene = ['56341c49ed4564be', 'be3bf9362857bffe', '605455dc5f1561a3', 'e814b7a50ef25565', '40db90425440c8f1', 'e0b1a3eea9f72817', 'c7382b0e60e415db', '807743b71b28c82d', 'bae81f88d95d39cc', 'fa7f56093254350e', 'dc7df91fbccf6e65', '60bfa053d499254f', 'e364559c1d25e09d', 'dfdb88c1a5ca0d75', '06fc18da65b07b30', '421498827f9e9e3c']; context = [[9, 49], [6, 42], [13, 50], [66, 101], [48, 87], [0, 32], [40, 83], [21, 53], [45, 91], [46, 90], [12, 47], [3, 47], [100, 143], [53, 90], [163, 202], [215, 257]]; loss = 0.012331 low_pass_filter = 0.300
+Epoch 0: | | 12159/? [2:04:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 12160; scene = ['b5d76d0407dd07a7', '9fa4b561fd7a9ac5', 'da30333428475044', '3cc327cb76fcf569', '193772f5af285408', '15643ffa40271cc5', '8392047c3a89030d', 'a41623bb417cf753', '555b156680c99feb', 'fb38700b0e32e00b', '3be83d55d7047555', '4fc41d9b64125da5', 'c0840d6b5e661a06', 'fad5e0b62e2676e2', '43925e6d705283fa', '845470a7c2434585']; context = [[158, 193], [40, 84], [33, 78], [115, 153], [2, 44], [0, 37], [129, 171], [14, 57], [1, 47], [47, 83], [38, 74], [2, 47], [60, 105], [43, 88], [4, 47], [57, 92]]; loss = 0.007686 low_pass_filter = 0.300
+Epoch 0: | | 12169/? [2:04:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 12170; scene = ['e9eecd2f4af1e41a', '245007bd10b2a438', '812e006c97d55f65', 'e0540e2d6160e242', 'cf93d34812c5075f', '93739f7c17797663', '8dbd26a529a8e1fe', 'b2a5bee383cc062d', '24b36b96c868b758', '36c57314d0fdc684', '58658f7de57fcdf8', '405e320c34ff7f81', 'eb1379bef32aa39b', 'ded696beba889e75', 'aa49c506f067e54d', 'e9b590c6993bcf66']; context = [[170, 203], [2, 40], [32, 73], [18, 64], [16, 53], [29, 69], [133, 179], [27, 67], [52, 94], [5, 41], [87, 124], [96, 127], [3, 46], [65, 100], [6, 41], [31, 65]]; loss = 0.010241 low_pass_filter = 0.300
+Epoch 0: | | 12179/? [2:04:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 12180; scene = ['ab470fa60eee8a36', '787b457d2249bdb8', '0141bc3a8179f6f2', '8d5bf196c1679c4a', '52e0505aa4e8c184', '5ee41f28a5de1206', '268be072c1afe4d6', '0afb709aed993f16', 'ca5b908968b3a4f8', '37520e6d05f6eeef', '5b1b31d1fc116fe6', 'c9a6b935d87b9097', '34b6d4c349fcb32f', 'a8af0ccce433b454', 'b78af2ced9e7b146', 'ba030a8c03a7eaff']; context = [[45, 80], [118, 151], [150, 193], [40, 82], [3, 45], [90, 126], [19, 54], [27, 72], [20, 54], [30, 64], [96, 128], [17, 50], [0, 42], [107, 150], [68, 111], [25, 58]]; loss = 0.009283 low_pass_filter = 0.300
+Epoch 0: | | 12189/? [2:05:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 12190; scene = ['16a4c73f7dfab404', '693e16057340bac9', '376891e5c574f2fd', '04c274ee7ff5faa4', '0d4ded80a6003029', 'd27fbd9800432849', '5a2d7bd1aaaa9979', 'b6e0a7217135f0ec', '39c680d0e2deb371', '72b9601d75933b02', '1e5d356b6e52ad00', '5ae40a0fbf6095d6', 'fa6335a92d7faa48', '2f954072e9834dc2', '821c671b230a1ed7', '20467fe97121072c']; context = [[17, 61], [9, 42], [24, 66], [5, 48], [8, 45], [54, 91], [0, 33], [18, 50], [2, 46], [67, 110], [147, 186], [10, 41], [80, 121], [9, 55], [96, 138], [74, 119]]; loss = 0.011347 low_pass_filter = 0.300
+Epoch 0: | | 12199/? [2:05:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 12200; scene = ['022c8b3bf09953d5', 'bf06a2187ba5ee89', '175a499efb67c13c', '4671540a86c8b051', '1bbbca2236ee4230', 'f91bb3b27b67a83a', 'fb0b73b80cf8c027', 'adaae18b87cb04ce', '16af37ee77aeaae7', 'a313b7aa3720f375', '58388d76b62c5fa1', '81e453158009b57c', '4cc6fa6dc966f1bc', '4352f5ecbeaf4b69', '3e6c9c32abee2205', 'dc11fe3737ec6ce9']; context = [[22, 62], [0, 37], [8, 50], [35, 80], [52, 93], [30, 64], [4, 35], [77, 120], [9, 40], [3, 41], [30, 61], [29, 69], [23, 62], [42, 80], [6, 41], [14, 47]]; loss = 0.010435 low_pass_filter = 0.300
+Epoch 0: | | 12209/? [2:05:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 12210; scene = ['57ae59b355e37b50', '216872700536bc0a', 'de6ad905da091ab0', '6e53d59a04d16cd8', '4b95a6a4485a9684', '9d8ca21d7984f76b', 'd0f4f1c4157d67aa', '1ca420ea134b5748', 'fe1b92932a2eb481', 'd34e6f770d5be502', 'c9073667ec83abcb', '08683965a087e86a', 'd51a5f3f6dd9f3df', '93ce775b91288252', 'c57f01070bc2b9ab', '957356aca370c325']; context = [[68, 106], [61, 92], [53, 95], [6, 52], [88, 121], [4, 50], [30, 71], [135, 171], [26, 69], [38, 75], [1, 40], [46, 89], [133, 175], [20, 59], [25, 56], [42, 88]]; loss = 0.010019 low_pass_filter = 0.300
+Epoch 0: | | 12219/? [2:05:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12220; scene = ['e559f1da60a5eb79', 'f71fef223090099d', '01f9c3192976f699', '63acaadeb84a31af', '6c5e37d3a0fe6230', '26982d1d02e9afff', 'aa1601b3c7e10e3e', 'afe08596b2895950', '951d3d3360153a68', '0f6f85f900c47557', '8ed5a86dea1245cf', '88f7bc47eab8af52', '622a0d2554fc5402', 'be4f1d3a9081ec93', '4fc52f6aeecd8f82', '969eae779f4745e5']; context = [[41, 75], [18, 64], [4, 45], [27, 69], [45, 84], [11, 45], [7, 41], [70, 108], [239, 270], [19, 55], [73, 118], [4, 41], [2, 34], [79, 115], [15, 58], [2, 38]]; loss = 0.009024 low_pass_filter = 0.300
+Epoch 0: | | 12229/? [2:05:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 12230; scene = ['957517b6ed4d0048', '0ed741df4437c6ba', 'a9b437c1a771c642', 'caa51283afc66cae', 'c426c3939899ee95', '1589ff1d9713b5f7', '4b748cea2f19798f', 'f3abbd7d96fbafb4', 'ba95ef7c31f58c5e', '37f5f4362e72fcbd', 'fd43a0837dfe0b50', 'c0e8b7d8718425ec', '5ee8cdeea1ad04d2', 'b5409662410d388b', '0168b5af321a8231', '4333b743c3df5779']; context = [[89, 121], [4, 50], [5, 40], [0, 36], [5, 41], [3, 34], [171, 208], [20, 56], [4, 46], [116, 153], [95, 134], [180, 225], [0, 35], [118, 159], [0, 36], [78, 115]]; loss = 0.010526 low_pass_filter = 0.300
+Epoch 0: | | 12239/? [2:05:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12240; scene = ['9b51df4f8fb857dd', '09dd31eb20405b2a', '8b9f8b93b5c8b635', 'ea74cb4771949789', 'cc48d6225f69d9a2', 'ae46c18afc8ab55f', '2a8b384c5d8cec5b', '1c9964c74955e91f', '83b8d48dd4198ada', '13b32cb917dc8b6e', '3cdd1f0cb282e9cd', '57d70928e32ad9a8', 'e85527fb695d1720', '8bbb0d80a799d7e7', '9a998c8153192ddc', '04efda28f99826d2']; context = [[175, 206], [47, 90], [137, 169], [12, 48], [45, 90], [38, 71], [0, 32], [84, 115], [18, 60], [11, 45], [28, 69], [6, 43], [8, 44], [0, 35], [147, 179], [10, 43]]; loss = 0.008906 low_pass_filter = 0.300
+Epoch 0: | | 12249/? [2:05:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 12250; scene = ['db82f36b5dbc0f0f', 'cdd44aaa218af50f', '4f1637bea9f78862', 'f45f2ed11aa8a46b', '3304890162555f84', 'add32babab3b0aa0', '60a93ae5bb06a238', 'b4622e3dc1200f6e', '5244830b7357365b', 'f8a2ddd918dcecee', 'b0c87a960cc0e142', 'a682d3630b102f34', 'a54873f89d266195', 'aa5dd9c4063f6e6c', '7cd91d0323b7067a', '8cf8eefab5a62f0d']; context = [[12, 49], [240, 275], [29, 63], [16, 59], [54, 96], [69, 115], [115, 161], [52, 85], [39, 70], [13, 54], [6, 42], [1, 32], [25, 68], [71, 111], [87, 132], [3, 40]]; loss = 0.009251 low_pass_filter = 0.300
+Epoch 0: | | 12259/? [2:05:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 12260; scene = ['3820e4354377e7da', 'c2e4a08593109a16', '48a9f2119ae79662', '7f5aa79ec2e823ad', 'bb2c45db780e6053', 'aff1a276b88f95c0', 'ae37850519b233ac', '81f0e23b267f977f', 'bde0ae0a61223088', '3a6f95f123a6734d', '623a5216fb75cc8a', '457542e5ba786e75', 'd96254454478fdfb', '590d6f715d8edd9d', '4a3aefcc8d1bf303', '79d69af91cf6b1a7']; context = [[13, 57], [28, 71], [145, 176], [24, 57], [107, 143], [16, 54], [4, 37], [1, 40], [48, 83], [163, 209], [86, 123], [116, 155], [11, 45], [163, 209], [15, 51], [88, 129]]; loss = 0.010328 low_pass_filter = 0.300
+Epoch 0: | | 12269/? [2:05:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 12270; scene = ['dad7f161c0dd33f1', '4c32e3724deb6127', '5e90db1128b66eec', '5ea531d28c04b4f5', 'fb9e93054db6ebbc', '4e2fbc828c9fe2bc', 'c0a19ec78a7ad15b', 'e59c541c3c0cc68c', '1d6ed861c30a6c05', '8f7ee093c756747f', 'abfb3e8af35aef41', '3e0497b3be34d492', 'c9ae81970b7075f0', '38d17287a2d1b35e', '17182e5c481e14f1', 'fbc40b507a2ef712']; context = [[3, 41], [14, 55], [0, 35], [3, 38], [39, 74], [5, 46], [22, 53], [191, 230], [21, 58], [3, 36], [2, 40], [18, 61], [87, 130], [119, 152], [4, 44], [11, 43]]; loss = 0.011743 low_pass_filter = 0.300
+Epoch 0: | | 12279/? [2:05:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12280; scene = ['e08993b4d6d78756', '5d1f56db44a99943', '6936190f2338e455', 'c1d130d5d25415ba', '884301dded89f439', 'ce4c27e415863b8a', '323f5e3ce1a6262f', '6281f1e8ec9ca792', 'ffb34ef6c0333c37', '6d4ae1b207f911c0', '4305d5a5fab3efa5', '8ae37caf70acdf7d', 'eb1785431a9d20c6', '6b5033800250e9d7', '4d53551d81b226fc', '3d313d32ec13ddd6']; context = [[25, 60], [17, 55], [20, 60], [19, 60], [16, 54], [22, 60], [32, 66], [110, 144], [104, 145], [0, 36], [25, 64], [73, 113], [118, 153], [55, 86], [6, 49], [106, 144]]; loss = 0.011206 low_pass_filter = 0.300
+Epoch 0: | | 12289/? [2:06:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12290; scene = ['3a7b5cc29e973477', '92f5676ecb7efbec', '87646f792c7916f6', '045d3de4ee0195d6', '0f814dee0106dece', '61fb19d88faf3727', 'fda1c7094e4c7aea', '729019c3de92b636', 'c68d506f2216c013', '2ad77eb190b91f41', '16f26ba6523bc187', 'f155a73f9c735fc0', 'c6fc108f22c25d06', 'bfcbf333b49f18c6', '57ef0c24d90eb0ad', '5c6cc840651fd034']; context = [[8, 49], [31, 70], [83, 115], [77, 110], [33, 72], [11, 52], [32, 68], [0, 31], [0, 31], [23, 62], [107, 143], [3, 48], [33, 64], [51, 82], [47, 84], [17, 53]]; loss = 0.011236 low_pass_filter = 0.300
+Epoch 0: | | 12299/? [2:06:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 12300; scene = ['9783eab48a41e20f', 'c6a0f60507c5b23e', '0798c66d382f3f33', 'd4294f7d5b241d04', '117eb07d6c928f92', '2f95a104b58aef0c', 'e8c358caad0e0900', '3f79f389b6ba0ad8', '65941d6210e92cfc', '6311f7f59a5b58bd', '97ca51807dd1ccdb', 'ac0228d32b55dac7', 'e13b53ae31b9e4cf', '4623f80cdc298015', 'd8166d21d1ae6010', '74e5c65d8941abf4']; context = [[13, 58], [7, 46], [153, 185], [21, 60], [49, 83], [77, 109], [161, 201], [18, 53], [2, 45], [39, 80], [93, 137], [202, 239], [3, 41], [38, 72], [206, 242], [42, 80]]; loss = 0.010513 low_pass_filter = 0.300
+Epoch 0: | | 12309/? [2:06:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 12310; scene = ['93b6278cf013b714', '82f678db97e94615', 'bcca779045d62e67', 'ab4c74b2751a2306', '0f3a74f2d2eeb583', '504f84dcd4f6fd4c', '56a9d7a35cdf2274', '85ca66628c3b583c', '917ab9849d0d6a8d', '9741cf7012a04c9b', 'aceec8149ba6e75c', '551fb8535c0aa256', '5ab8bfe8240ec91e', '1613fefaad02972b', '015ca2f115af3dde', '074a7dad1894db3c']; context = [[5, 42], [27, 60], [14, 52], [18, 51], [0, 33], [243, 275], [6, 43], [8, 40], [34, 69], [5, 48], [41, 82], [46, 84], [23, 69], [3, 41], [18, 63], [7, 43]]; loss = 0.011052 low_pass_filter = 0.300
+Epoch 0: | | 12319/? [2:06:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12320; scene = ['36dbde23c0348a09', 'cbf194450f89fa83', 'feb6e94b05604c83', '9069736f3a949982', '6c79da3430b785f6', '2cf0d1a531e44b1b', 'f058d22a591faacd', '2863d376a1a92afa', 'c6479f7e813d588a', 'b6ec852cd239b4e3', '85ec32cc6513863c', 'a05911b9e6186029', '02563ef6e6768ce0', 'e6373ecb22d1f5e6', '2b5208807d171c9e', 'bb99c11f78349cf5']; context = [[3, 42], [14, 59], [3, 40], [23, 68], [59, 93], [24, 55], [67, 109], [115, 161], [85, 128], [63, 94], [23, 65], [35, 75], [34, 80], [202, 237], [67, 107], [8, 47]]; loss = 0.009819 low_pass_filter = 0.300
+Epoch 0: | | 12329/? [2:06:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 12330; scene = ['fa42604243a1cf5c', '7b78a2113b0b67e0', '9a902960aaa032fd', '54c0968cdfab4471', 'bedba1846d7b3f88', '791c6386a4340932', '9adb29df30906ff4', '99842c7b205bdf8d', '9007b3ae76d7a762', '2ef7b8e6a0602913', '69dd3eb18ff7a838', '74224d25c8e85b39', 'ace591a332a2780c', 'bf37156b4d92c7f2', '6ef51b06550c0d9a', '4cd18aa0eddf1c14']; context = [[46, 90], [142, 184], [152, 189], [0, 46], [8, 53], [28, 69], [92, 132], [83, 126], [182, 218], [56, 99], [21, 66], [177, 219], [131, 173], [131, 166], [60, 96], [1, 46]]; loss = 0.011903 low_pass_filter = 0.300
+Epoch 0: | | 12339/? [2:06:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 12340; scene = ['fd1fe9c1db9269d8', '5f84ce15c4658c52', 'd28b9fcb544a45e7', '825f5fc21ea780cf', '2317fbb490ffe046', '43c4db038bb72004', '55433af3386415b9', '4c1dd38ae1e23da3', '3bf978b258b8305f', '2e887f0103cfe378', '46a475daa238ceaf', 'e003c7d69b73e632', '0dee4934bd1e8cb5', 'c54fe1ba08b7ab80', '8eeeb4da9f352048', '033c76a9906e82b7']; context = [[13, 55], [2, 44], [151, 195], [47, 78], [11, 47], [36, 71], [20, 62], [60, 91], [44, 84], [0, 37], [196, 231], [38, 77], [137, 171], [2, 40], [31, 68], [28, 74]]; loss = 0.009539 low_pass_filter = 0.300
+Epoch 0: | | 12349/? [2:06:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12350; scene = ['5a0e85192b67242c', '96bb4b2a55b7ec43', 'b7d68e905f60be33', '6d21f697d6dab0f2', '128f032a71ccfd3f', '582e062f22316429', 'fa604b72bc666444', '2f86649cfbb24a7f', '449ac2d18080fc7b', '02f2e11cd0db1a46', 'effef8b0f00cb66a', '380bc7bb1ed99bd8', '8e026ade60f13e40', 'c1e8947897534f8e', '885bb71067dd494a', '9dfcd20a3d14d93a']; context = [[196, 234], [17, 56], [100, 133], [102, 137], [132, 170], [68, 111], [4, 48], [1, 36], [2, 40], [21, 56], [56, 98], [2, 44], [200, 231], [73, 110], [100, 143], [27, 64]]; loss = 0.009632 low_pass_filter = 0.300
+Epoch 0: | | 12359/? [2:06:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 12360; scene = ['07a772c686e705ad', '35ba4db99f6f3fe9', '7769fafcf6736c1e', '593f6ea531f61ac6', '0e5769089b6efd0b', '2f6cd0a735a85feb', '62755beb1ebd7813', '8a3e41e66e798f50', '83f69d126eb1528d', '4526168c5b011f4a', 'b9e1ba841aea9863', '1916b24e81c1a30d', 'd1f43e65f28ce3c8', '2e8f22d6e88e516f', 'e4169ebd4ebb1035', 'd1c829d1f1825d24']; context = [[35, 77], [19, 60], [29, 71], [31, 62], [111, 145], [195, 231], [138, 181], [29, 60], [77, 112], [124, 170], [49, 95], [84, 116], [35, 72], [10, 53], [26, 63], [58, 101]]; loss = 0.008838 low_pass_filter = 0.300
+Epoch 0: | | 12369/? [2:06:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 12370; scene = ['0f5daf32c2e8fefd', '63b86eebfc578b0c', '97eab841f52c3532', '6710ea30efb5b47d', '5c9877200c432073', '20b791440b7ec0b5', '38230d876c82d737', '92e9963c8f525044', 'ee3f7a4049756e71', '2797e017181ff08f', '0892e891d15c59f6', 'b2efd0eca9cf3f32', '2b4a7ae6b2e50c04', '8bfe6a942a41fe06', 'bdae62678f43c878', '57066a6735fdeba7']; context = [[53, 87], [1, 32], [19, 65], [141, 173], [64, 95], [56, 97], [32, 71], [73, 106], [4, 47], [77, 117], [9, 52], [72, 103], [26, 70], [12, 55], [88, 132], [6, 37]]; loss = 0.010053 low_pass_filter = 0.300
+Epoch 0: | | 12379/? [2:06:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 12380; scene = ['385c572550651012', '834d220fc4260494', '584e691ee4eef874', 'c5aacb81add61aae', 'f3196b07005cd061', '0d446eef93166bf1', '80a47bfe71ee3d1c', 'a9e5b84dc92dbed4', '43a550bebb5926c6', '7ab2cfee66bf9137', '68460a404c41e6a0', '3a3f2d54e7cb4295', '275951165e734726', '250f426a7b3e59ec', '69e7cba7beb30840', 'a973128515c7a96b']; context = [[122, 164], [23, 61], [75, 115], [36, 71], [72, 108], [83, 118], [169, 213], [33, 65], [107, 139], [104, 142], [0, 41], [3, 37], [36, 75], [77, 110], [14, 45], [85, 125]]; loss = 0.010822 low_pass_filter = 0.300
+Epoch 0: | | 12389/? [2:07:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 12390; scene = ['85d56f7594f38108', 'c3109e5125260fac', 'aa23091c2d2a3b74', 'a8e5514d51acd87b', 'd1179c6e15ac4f2c', '17a4b7038c693c4e', 'b8a4200aec3217ed', '5bc40ef96dc75353', '38e757b8f58a6da2', '09beb5e04006f09b', '66af0e2f2e7d0963', '9c114fd30bc5d40d', 'ff3ecf2ec76ace60', 'e705947a8dc11e1f', '050248d92269fdd0', 'e7cfbaa323e6a40e']; context = [[10, 41], [21, 54], [35, 72], [9, 41], [118, 150], [58, 90], [20, 53], [85, 122], [45, 76], [55, 100], [25, 70], [66, 105], [76, 109], [31, 75], [79, 120], [42, 80]]; loss = 0.010613 low_pass_filter = 0.300
+Epoch 0: | | 12399/? [2:07:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.40, train/active_min_children_step=4.0train step 12400; scene = ['4a2a4c9c9a87b294', '7e68dab980a361f0', '7f1ad8c58d9394ed', 'c5801600fc13d190', 'ffd7597794206019', '429745bd886be62f', 'e01adc15e6595c94', '86828c02880259cf', '40ef3793c2b79de4', '908c948fb8cac025', '849c18ebf57067f6', 'ad645ff924caedf4', '97098e465590c791', 'be035212259df653', 'd863a335604c5a1e', '865cf762c4d42b9e']; context = [[7, 42], [192, 223], [4, 40], [62, 106], [20, 58], [4, 41], [23, 62], [16, 57], [33, 73], [23, 69], [23, 56], [49, 87], [15, 50], [228, 271], [35, 67], [16, 58]]; loss = 0.011906 low_pass_filter = 0.300
+Epoch 0: | | 12409/? [2:07:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 12410; scene = ['8152c1ea1416ea09', '787699fbb0b12b94', 'c3dfaa4a31bdb084', '79a4eb8c12e5e4b2', 'cb9c1a381589dcf0', '4265bc29121b026f', '45b2c72ea9bee10c', '3a36edf2be866e34', '96165ef749af6682', '65c7fa472b86e7f9', 'c7729ec50d323a67', '274a4e4a258897dc', '9890a01b883b8cbe', '83559529fc525a03', '0c178168a07f84a9', '6c52c204d0fe9f7f']; context = [[87, 118], [102, 144], [67, 103], [8, 39], [2, 35], [29, 61], [33, 67], [94, 137], [35, 78], [46, 83], [0, 31], [2, 40], [17, 50], [38, 69], [32, 77], [73, 107]]; loss = 0.010235 low_pass_filter = 0.300
+Epoch 0: | | 12419/? [2:07:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 12420; scene = ['9ee134a1e5088732', '16e23d8cd26eda21', 'fe995c70c1839ab6', '59ac4117e2b4b066', 'e27944e20f739de1', 'f099df2efe3e4994', '2403dfbc8cb4d693', 'e8dedfa84d3d44df', '2362cb1176998093', '49905e5c42e7463b', 'e7ed20f72e550232', '4217a1276000f915', 'e49ae09c86374272', '48f39fdb36aced7c', '58275afa53d48646', '8d43a7230b10a6de']; context = [[3, 49], [137, 169], [2, 41], [23, 55], [8, 53], [23, 66], [11, 48], [30, 70], [23, 68], [157, 195], [49, 93], [74, 120], [101, 147], [53, 93], [98, 137], [13, 56]]; loss = 0.014050 low_pass_filter = 0.300
+Epoch 0: | | 12429/? [2:07:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 12430; scene = ['858e46647610ba9a', 'f6be586b3b35382f', '5e66f54d9b99573b', '714d84e0be7d7dfb', 'c1c0bf21704f2537', 'f8490421029f85c1', '7e590944b3d09a44', '3576553305e59d4c', '88481fd4383f352a', 'd5dc2774d58f65f7', '803ea65010dea476', '28dab8d387301174', '0aaea04bf3c7203f', '4a71fd74c97d81a9', '829ff23a442a9bf4', '299e39e4c15762a6']; context = [[221, 255], [20, 64], [127, 164], [216, 259], [26, 69], [48, 85], [77, 111], [47, 86], [118, 157], [8, 49], [152, 186], [44, 84], [1, 33], [2, 39], [30, 71], [33, 79]]; loss = 0.009294 low_pass_filter = 0.300
+Epoch 0: | | 12439/? [2:07:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 12440; scene = ['2446146231432a25', 'a6330742e17c9782', '1c2612c4c39dcc5e', 'bc46ba30e93734d1', '9974ef630b3b0063', '9dafc61a5619845c', '1acf1fda04e66de3', 'fcf802fad585ff72', 'f892051838c9ee27', '6fa4c2007a0bf94f', 'c0198b22b5015afd', '7a92ae8d981688f4', 'cfe012ee13f32184', '81d88afd2654664f', 'f028e6658136e9ba', 'c4217c1a6b2d6381']; context = [[19, 54], [0, 35], [8, 46], [36, 80], [12, 53], [34, 67], [38, 75], [11, 55], [95, 134], [80, 117], [43, 74], [14, 54], [38, 77], [6, 37], [57, 97], [11, 45]]; loss = 0.009383 low_pass_filter = 0.300
+Epoch 0: | | 12449/? [2:07:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 12450; scene = ['2699f0ed92bcea23', '96fa083c727e8576', '3a61e0db35b8ed91', '69c2f1a3cfed4721', 'b3c6e6ce7774cac2', '3f0986b0997526ec', '80969826ab058f74', '8a116b2e6b29679b', 'a34309c2982d3cb5', '3a6d6f368b8950a7', '301dccb36062e576', '1986824dfd771829', '1bdf02f43d00e631', '996350f54cc39508', 'f17255c463f8820b', '760f7cdb1b176614']; context = [[128, 166], [94, 133], [21, 66], [97, 136], [136, 178], [22, 53], [1, 33], [69, 104], [84, 117], [95, 141], [0, 33], [16, 50], [99, 132], [111, 146], [136, 170], [162, 193]]; loss = 0.009022 low_pass_filter = 0.300
+Epoch 0: | | 12459/? [2:07:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 12460; scene = ['1ca4244fee70624d', '7143928cae72a35c', 'f7b8f613963a75c2', 'fc4e7c449d69fef9', '6e706933eb70bc76', 'aa49d6d1892aa62d', '38f263a412fc1696', '5c214c6cba1c63f2', '9935a6146886dfe6', '1cdde81ba9489e2b', '3a74cdb34b1b79e1', '0c629299b723a2f1', '6dd9e3b237e3ebf9', '181449e704881318', '4252d5a3cbe7a739', '2f3db5900d69a891']; context = [[169, 215], [56, 98], [97, 143], [147, 188], [3, 41], [41, 84], [144, 175], [79, 119], [37, 83], [80, 116], [64, 108], [64, 110], [31, 75], [22, 53], [41, 84], [26, 62]]; loss = 0.009822 low_pass_filter = 0.300
+Epoch 0: | | 12469/? [2:07:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 12470; scene = ['368b3473d60b6385', '7cf2d074de115901', 'be7a580fe9665300', '374de52fd395ae73', '299a59047ff48dbd', 'f6b299e4bb55dcef', '63b7ce1d8f536653', '28940119010f59e9', '78f8f80b5d2326ff', '0bffdf9852d6b17a', 'b56a19d615f09aaf', '0c844f4fc43d10a1', '9b17ad14b3f7ef4a', 'fb2fc136084bf16c', '5d120972a05d6520', 'ed3419371f6b0b6b']; context = [[0, 44], [35, 71], [23, 62], [8, 47], [3, 49], [6, 50], [19, 63], [230, 265], [6, 43], [32, 70], [213, 253], [144, 180], [10, 52], [62, 103], [45, 88], [10, 51]]; loss = 0.008945 low_pass_filter = 0.300
+Epoch 0: | | 12479/? [2:07:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 12480; scene = ['ab3ac1ab685dd2fb', '19f18091790cb8b4', '1638d45be05bad08', 'd07f942cbe5dbb23', '060888ad72a59ce7', '2fff3b2844c2f1cb', 'a094ba1980c7d5dc', 'a3510c2a3ecb7271', '16c3333a33394e05', '9bbdf26fda3f7aa6', 'c4b5cf9bba4c5620', '25aaf991662b1392', 'f966f4722ae3dc03', '69d6916a535a24eb', 'fcc2ecb0bc03aca1', '42f96a7975e871c6']; context = [[13, 47], [183, 215], [88, 122], [198, 244], [43, 87], [27, 66], [20, 65], [32, 65], [60, 104], [39, 80], [19, 52], [8, 45], [24, 60], [11, 50], [55, 86], [31, 68]]; loss = 0.011573 low_pass_filter = 0.300
+Epoch 0: | | 12489/? [2:08:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12490; scene = ['41258160de3b9847', '7570e1000b6f66a7', 'e96a40a434e0b83c', '3a7ec402de14a010', '2d9ad09dfbbccc5f', '4cd3e0c8f6a3b954', 'a83f3746a11e572d', 'ba232d0f3f503f0f', '6c86fd352266b6f4', '310afc09b784c10c', '22c80320c49a62a6', 'd19952203c1188e1', 'c7b3620b618be980', '2ba4ac8ad33f2604', 'e465c16e4ba9fcb8', '20c639dc41a7bf7f']; context = [[28, 74], [4, 40], [24, 65], [16, 60], [140, 178], [76, 115], [39, 77], [10, 45], [86, 128], [31, 66], [86, 119], [29, 71], [4, 49], [208, 249], [18, 57], [118, 163]]; loss = 0.007995 low_pass_filter = 0.300
+Epoch 0: | | 12499/? [2:08:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 12500; scene = ['b7dc241490a4f034', 'db19833fcf1647a1', '033380b8c9ced0fa', 'b663e4e4e1c815d6', '95908390cfcab857', '3193e8bf21491023', '25c1b05ef5f6e8ce', '0ba3d81197bde2ff', '42df8c69e0daeec6', '25fccb9a0378348c', 'e6d924f92f44c985', 'b86dc6a2be5101ab', 'ebf1a7e113d1cfd2', 'c96388f9522a65b9', 'c39e1b941958e3e9', 'f091f8a44150921f']; context = [[3, 35], [222, 266], [27, 68], [28, 72], [69, 115], [45, 76], [6, 52], [11, 56], [13, 48], [13, 47], [181, 218], [24, 59], [207, 252], [207, 240], [36, 71], [49, 85]]; loss = 0.012099 low_pass_filter = 0.300
+Epoch 0: | | 12509/? [2:08:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12510; scene = ['fb1bb2f9da83193a', '0edeb4cbbb0cfd19', '9f7fb6a4d5bc5b5d', '7c50a3e751ebfa5f', '0b96efcfb3e15497', '1ddf5f649fda04d3', '1234ca6ea49152e5', '17fde8abb55f0198', '7ab1c3111fd438a1', 'b1385fd06de0ceaf', 'dcebb2fdad9ae60b', 'b996b08a423681d8', 'dd8fde8a32d68f55', '1e3909f1376a2c4c', '262e8b8dcef4d739', 'ac168a8c9e0e39fb']; context = [[24, 56], [5, 49], [27, 70], [33, 69], [2, 35], [50, 88], [82, 124], [220, 253], [103, 142], [79, 117], [4, 37], [19, 59], [54, 87], [9, 50], [13, 49], [13, 47]]; loss = 0.012518 low_pass_filter = 0.300
+Epoch 0: | | 12519/? [2:08:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 12520; scene = ['c21d33d993095f32', '01d4d24e9f33aa8f', '2ca7a809dda33d8e', '18711838050bef0d', '3ffc4b7822281c60', 'b811e125c84adff1', '2557d505c19c8b3d', 'a41a1bcf7d09b4eb', 'd4896139155e24c5', '5f6b16b0e97a3062', 'e87019343627db3e', '890e703ff66e180a', '5054e805903470cd', 'ed3ec99c97d13679', '006f24f8fa62a3b7', 'ac9475b5f8128e87']; context = [[128, 168], [0, 43], [95, 128], [106, 149], [4, 45], [46, 81], [16, 62], [134, 172], [14, 51], [85, 121], [8, 51], [21, 66], [5, 50], [24, 66], [236, 268], [33, 65]]; loss = 0.009810 low_pass_filter = 0.300
+Epoch 0: | | 12529/? [2:08:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 12530; scene = ['5da91cae06b6bf6b', 'dc667e96abd53c22', '239adc7ff39146a6', 'f05c1d092c6ceb18', 'fac41d1437899793', '6aa984b54d1372d2', '15a5cd0f74a514f8', 'c2c1a72d431ffcff', 'c690e67a715dcada', 'c2f01a21c86dfcbc', '0051d3a3ada580af', '0b088d8f468b423b', '9317c49bbcccdc77', 'f8a62db70bf0e0a0', '90b23bbaea5c81da', 'fea7244ac3326db7']; context = [[87, 123], [4, 41], [71, 114], [43, 87], [62, 98], [39, 74], [10, 53], [19, 57], [143, 189], [0, 31], [5, 50], [12, 52], [44, 90], [20, 60], [28, 66], [34, 77]]; loss = 0.008392 low_pass_filter = 0.300
+Epoch 0: | | 12539/? [2:08:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 12540; scene = ['d7dd78631748f7aa', 'e1ae6d3a294ddcdc', '13ee40f99ef3fda7', 'de137923eba18ca2', '53c9804b50ad99ab', '8861e06664d052a1', '62953cbca65ec62d', '834947156a227a06', '1f3cc35366700ee4', '9651f5e8192c6ce7', '8fed63c4d0bc7a2c', '58727127092e350f', 'dafe4fbc82947a40', '876a49fd60e9f34a', '025a7502ca9a1e7b', '7e038ad56d73e6bd']; context = [[5, 37], [31, 65], [6, 38], [11, 44], [53, 97], [25, 63], [22, 59], [22, 65], [27, 69], [2, 40], [7, 46], [34, 72], [20, 57], [32, 67], [27, 72], [16, 53]]; loss = 0.008931 low_pass_filter = 0.300
+Epoch 0: | | 12549/? [2:08:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 12550; scene = ['24fba0e6aa6af98f', '20045f4782cb52ba', 'f148e790bc04506f', 'cea2a93353c5eba2', '82c9062c870a1757', 'a77d977e67b50fa3', '245bf94a48a16618', 'c7fb40dbdfaf8c41', '25d7392ac5ae9066', '94ad9ac9d5fc25d1', '82d29ba5b39e4324', '93bcbc420d0cdeaa', 'da6552eaffe605cd', '83d103672889a1b3', '2ddb67832c160567', 'f00b015a283a4923']; context = [[90, 135], [216, 255], [16, 51], [35, 71], [2, 46], [6, 42], [44, 78], [20, 53], [23, 68], [33, 67], [0, 36], [44, 76], [12, 43], [67, 112], [45, 91], [11, 46]]; loss = 0.009668 low_pass_filter = 0.300
+Epoch 0: | | 12559/? [2:08:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 12560; scene = ['611773875fdb8681', '328f4a1bb0f7419b', '24668195926b0c91', 'cae09ec1d132c91a', '0ba56b76de23eac4', '7922209e3015f2be', '4cca2ad1cde55681', 'c2ca510a4a1617f2', 'e2151e6bf7f90731', '8730a68b24c3678a', '1d0de977f6c454e5', 'da0a55bfc7ac0d7e', '49eb4d69de6420a3', '57374e9e079460f5', 'c4c75b682e0cee7c', 'e78f54d920ccb3b8']; context = [[36, 80], [34, 77], [66, 99], [11, 55], [46, 81], [48, 89], [7, 41], [182, 215], [37, 72], [38, 83], [144, 185], [9, 45], [17, 62], [40, 78], [1, 40], [19, 53]]; loss = 0.011300 low_pass_filter = 0.300
+Epoch 0: | | 12569/? [2:08:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12570; scene = ['721df0f45094ca34', '177375702f643304', '489cdd787b754e4b', '250c146f5c1b625c', '6f3f3a75c4debb17', 'd6fb3fa038e51a8a', 'b42c0990a3e88a89', 'e2f2eda772f76c8f', '9741f78412e103d1', 'de9e29c92b071a2f', 'f978c9db57bb8220', '4cf7075fb4bcc59c', '7fc8197294aef797', 'a3ff31c2107320bd', 'c438132086b87eea', 'd484c8cd2da6c3f0']; context = [[127, 167], [116, 160], [86, 121], [3, 43], [8, 45], [47, 90], [9, 46], [25, 67], [2, 39], [84, 126], [31, 76], [16, 59], [141, 173], [2, 33], [33, 76], [57, 97]]; loss = 0.011986 low_pass_filter = 0.300
+Epoch 0: | | 12579/? [2:08:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 12580; scene = ['ab3352b378297865', 'bd92ad43a04f9997', '1f7d98ea73c32c36', 'c9fa198ce1fad686', '9bbc20c7beeb031a', 'ce2a43daf508bd6f', 'cfd21e505b9804be', '6430c99cf4d6174d', '72f99d3910e39610', 'cdaf697957c30177', '0a8681094edc7832', '00c5fe571a003deb', 'bcda5a73bad164c5', '00a97cfa89150952', '7d70f269a4d75034', '098551f9c9f62f6d']; context = [[33, 69], [79, 118], [87, 132], [62, 95], [0, 41], [27, 66], [20, 58], [88, 130], [87, 120], [6, 51], [46, 81], [105, 148], [8, 43], [12, 45], [15, 57], [16, 49]]; loss = 0.009318 low_pass_filter = 0.300
+Epoch 0: | | 12589/? [2:09:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.50, train/active_min_children_step=4.0train step 12590; scene = ['1a24b349faa93add', '95f4261260a3d3f5', '2e16fc65cefe5735', '85ba4b907823cd95', '3c532bb20b428fba', '5ac0f0232a8d4efc', '12b4e77493c77d39', 'c3914b367617df25', '585b9da654b196e0', '85d7f4e0a5ef8813', 'f775386efb45738a', '3bbecfbe6c975b01', 'a8cfb2062202dee3', 'd692e48036144709', '91d197f925891f41', '751c329e576944d8']; context = [[22, 64], [88, 124], [34, 70], [0, 32], [58, 91], [0, 43], [45, 88], [19, 53], [30, 65], [44, 84], [64, 96], [5, 44], [100, 133], [50, 95], [39, 73], [15, 48]]; loss = 0.010243 low_pass_filter = 0.300
+Epoch 0: | | 12599/? [2:09:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.60, train/active_min_children_step=4.0train step 12600; scene = ['cac8ff0742e1ef7e', '6e6ce6a006f044a6', 'bc920b78aab35655', '8ef506222a3c3e6b', 'b9265a8827c5b4fd', 'cc23a442ba2ad265', '1e08ac1071c41111', 'f57e10d5f52f4b22', 'e6daa4ac25aebad4', 'd5057db712108c92', '2efcb0c561756da7', 'fbe8831635df9b7d', '4562dc94213cd53b', '4a94b7b90f0aa61c', 'aa3d6cb0a2f7cad4', '0e72268501544770']; context = [[96, 130], [90, 122], [80, 115], [38, 72], [20, 61], [0, 31], [30, 69], [58, 96], [55, 88], [192, 236], [57, 95], [3, 46], [97, 134], [76, 115], [187, 228], [15, 58]]; loss = 0.008480 low_pass_filter = 0.300
+Epoch 0: | | 12609/? [2:09:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 12610; scene = ['b3b3f7695bb5ca32', '89d0df849e594409', 'a6ca18871e71561d', '340688cb63ead6f6', '5e68140473b7fb10', '05d0fcfbe36d261f', '50c8b8855897d03a', 'ff29921ff4eab5f1', '7c870fc8c797d95c', 'b113c611f9029c49', '96242e3779c266c7', 'a16f25f49092fd46', '7ffd821c6ca83444', 'b28bd6fb9a670a0c', 'e898ad177bf5600a', 'bae2d6272431c8eb']; context = [[54, 85], [35, 71], [5, 41], [129, 163], [0, 32], [15, 60], [186, 229], [56, 98], [15, 49], [17, 51], [8, 46], [35, 73], [65, 101], [38, 80], [163, 197], [105, 148]]; loss = 0.009299 low_pass_filter = 0.300
+Epoch 0: | | 12619/? [2:09:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12620; scene = ['611a703209b82415', 'df6fb77e12bc8d6b', '17ec5bc4abcf748b', 'ae99a86106bdc24d', '4ef6254d4a4b8886', '89155a0d7d817b53', '4e9d22f52c911e0e', 'eb6059040fefa2cf', 'dd16d8d3c1f7cafe', '225295c24d63c305', 'd5aeb9145e591071', '481b7b29b87bf543', '27df0115a09d7a8a', 'd9887cf1bdf5589a', 'cc9379471477aa68', '1f8af6d19b8dfcbc']; context = [[42, 84], [21, 56], [41, 84], [16, 61], [95, 126], [6, 52], [39, 72], [33, 79], [50, 83], [15, 52], [141, 182], [3, 39], [30, 68], [95, 139], [10, 55], [213, 244]]; loss = 0.008763 low_pass_filter = 0.300
+Epoch 0: | | 12629/? [2:09:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 12630; scene = ['e58bf9d7af3ee289', '8769f0f6650d769d', '530bcd81d8f61dfd', '10869961ce9a0083', 'a3dcf985957f8e10', 'c049ee736ade99e1', '9ec234f3f519e09f', 'c544bcc5c3f750e8', 'c5a29b91c95fcfc2', '84d0bf1c2891bb2f', 'c17186792e856d1a', 'baec6e288417e039', 'cab0d99928db8a1b', 'c6ae39de68a36714', 'bec9aa809d6beee0', '2f0ada251c31a62c']; context = [[99, 134], [0, 46], [26, 64], [39, 85], [25, 62], [54, 91], [0, 32], [44, 85], [47, 82], [0, 33], [13, 53], [2, 44], [11, 56], [7, 52], [134, 173], [198, 229]]; loss = 0.009211 low_pass_filter = 0.300
+Epoch 0: | | 12639/? [2:09:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 12640; scene = ['649a6b3a11e4355a', '35e10408a07458fc', '50b2407be378b2cb', '84e504fd32f299e8', '52c7f7de545e4b71', '6310e828b3588296', 'b22ecfd2e0500719', '5ed76274f5543cfc', '09454319bbff60b8', '48dd5e8585754cb0', '1f448be55dacae22', '4b91e3d10a227be5', '537ede808cf89571', '31828fd2f1e02290', '66a9d47b11862e57', '4ef6df5a3d7e59af']; context = [[20, 51], [35, 78], [75, 120], [52, 98], [27, 65], [7, 40], [60, 92], [36, 73], [27, 70], [0, 45], [174, 214], [78, 110], [11, 46], [56, 95], [7, 52], [76, 118]]; loss = 0.010863 low_pass_filter = 0.300
+Epoch 0: | | 12649/? [2:09:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 12650; scene = ['ab88a6b3b387dac9', '03a09832e1472391', '84359e8e847ad96b', '06256e9ca5d46849', 'ca04de3c55cd1ca0', '8625891ed4d0cf38', 'b7aeefdcf8c006ec', '347a65acdefb3ab8', 'e259aeb5a4011241', '2500c47765259d25', 'b35a083c0ebf5083', '5c3edf95e971e6a1', '20cd6d5b5e0f84d8', '81e4aa61acacb1a3', '882604c1aec0e83a', 'c3b719fbeef463ae']; context = [[25, 65], [13, 44], [39, 72], [6, 51], [94, 137], [101, 143], [161, 203], [29, 72], [125, 167], [32, 65], [15, 60], [67, 107], [20, 57], [84, 115], [1, 35], [176, 209]]; loss = 0.011743 low_pass_filter = 0.300
+Epoch 0: | | 12659/? [2:09:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 12660; scene = ['cd0c3be3f75fe832', '6a473050226aad10', '194dfaa589c9981d', '6987076ea88094b0', '9cd5d6eca0c0d52c', 'c31a26091e7994c6', 'c7df59f8b9f04314', '8d24e45a0fb34cd5', 'ab4d903d5879e595', '18dedb90ea5f4869', '522da2a710ac5837', '755be52fe347b481', '88e7d46c7325e541', '9b482a814f0a5481', '3fcab25b002c8d8a', '262ca049a6cd4ded']; context = [[90, 127], [7, 47], [19, 63], [59, 93], [0, 41], [76, 111], [50, 95], [44, 80], [1, 34], [59, 92], [23, 61], [83, 125], [62, 107], [74, 116], [28, 60], [6, 39]]; loss = 0.012425 low_pass_filter = 0.300
+Epoch 0: | | 12669/? [2:09:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 12670; scene = ['219e257b654adcd3', '478e07af7840c08a', '286d607fc50715f5', '57a9dcc50b16b0c5', 'e2ac2325c4957d8f', 'ca19843dcf89d83b', '66de8729fe760dd8', '818a3347a8e4afdd', '9894b187d115c065', 'cc375304e2e198e9', '0b4070d37e896388', 'e227d56dd6f178c7', '4cd18aa0eddf1c14', 'cdea215558754e76', '6fab51a37edb7739', '9808ade599ce3b8e']; context = [[25, 69], [23, 59], [58, 103], [62, 93], [0, 43], [55, 86], [29, 68], [41, 85], [138, 181], [139, 175], [81, 120], [101, 137], [5, 47], [215, 255], [55, 96], [19, 54]]; loss = 0.010826 low_pass_filter = 0.300
+Epoch 0: | | 12679/? [2:09:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 12680; scene = ['24d54e2cc13cb16a', '2c53bdf1a35452f8', '1c600cef7c23f197', 'e003bf516d8380d0', '2070feb3448f6214', 'a9c542e12a48769a', 'af25eba8540f9cc4', '6e1e866c1a57244e', '737d27c217077407', 'a18df9ef83e6c134', '9f594692a0d431e8', 'd5c2c0f794aeb07d', 'fb2aa1af7ee15d52', '511c580f3b9a598c', 'c996e355e0895892', 'e99688db2c5583e3']; context = [[144, 185], [17, 61], [8, 41], [97, 136], [1, 34], [78, 110], [10, 52], [0, 32], [9, 48], [11, 46], [7, 48], [20, 52], [0, 32], [12, 48], [17, 59], [6, 42]]; loss = 0.009937 low_pass_filter = 0.300
+Epoch 0: | | 12689/? [2:10:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 12690; scene = ['66c9632b703b75c5', '4f762e17415650d8', 'afff928380f0e048', '1610b67efd518940', 'e192bb5ee91df962', 'b43d9f7c70f5caa0', '0e22c9b1805cb488', '761d3028a4027ec2', 'b08a9a8a1ae3465c', '218e8f36b7cf1179', 'b58ad668ed5946a2', '6b86d3bf33fbaeff', 'f8372a143e797098', 'af245df4c0acd819', '2191e4743d3e863d', 'e0444ad6a518bfae']; context = [[170, 212], [22, 55], [226, 270], [98, 132], [16, 48], [14, 53], [39, 77], [7, 48], [118, 150], [29, 65], [68, 99], [1, 40], [33, 67], [0, 38], [2, 48], [174, 220]]; loss = 0.009022 low_pass_filter = 0.300
+Epoch 0: | | 12699/? [2:10:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 12700; scene = ['27474a9b81b5b915', 'f6383d62f2df75bc', 'bf1277b28c1894f8', '6a1549e061340f9c', '234aa55514e0ec70', '396b616ef6304d90', 'ad9a0c2b517fc375', 'f70323bc2551b19e', '10bbbbe467426d32', 'c5edd6cf1dbadb8a', '11bdc79f5f3fe36a', '249adc3e479b28b9', '33ec2bc6fd434fe8', '54cfdcc11f17f88a', 'a95691c28a8c28a3', '2f56fb1ce3c46045']; context = [[11, 43], [59, 103], [160, 191], [61, 93], [4, 48], [45, 89], [217, 248], [0, 37], [73, 116], [138, 175], [4, 37], [13, 54], [28, 72], [35, 77], [210, 243], [137, 176]]; loss = 0.009854 low_pass_filter = 0.300
+Epoch 0: | | 12709/? [2:10:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12710; scene = ['71b3f7c9e77336c4', '382d97b003369ca2', '7ac2161a4e5fa551', 'f1afbf6f673bac06', 'af339c9b95c07920', '7fc6a4aef5aafaa7', '8b54ea3284f5c864', '3f5020e5dc8240bd', '2c1c950314fbbbea', '9a281760e4332d8a', '34201d3bc1d0c0f2', 'd90e1010470c6a9f', '8833535b7cf3a3fd', '6b22c6f4e8d8e300', '3a6ced6a3ab9a9f6', '2cac76d5912e6930']; context = [[138, 178], [19, 51], [5, 36], [2, 36], [122, 168], [7, 42], [236, 267], [8, 49], [44, 80], [24, 68], [20, 59], [31, 62], [100, 140], [118, 162], [55, 101], [0, 34]]; loss = 0.011845 low_pass_filter = 0.300
+Epoch 0: | | 12719/? [2:10:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 12720; scene = ['cbc3afce38e5c83b', 'b628fcd395211ade', 'b36f5704af87f5db', 'd3ca3d60220f345a', 'c53f5fbaa207e94b', '7e858407f6705790', '2ec9b3196d12c94d', 'c40a2ea96f6a035c', '257ab5c1a83a0664', '84339271308b5cb6', '7acc85ef88e5a186', '80d4d02464edb6e3', 'd253a755fbd1d015', 'c6da0d81f35e345d', '8836f80f85832118', 'c8a1f2c1e73ff3d9']; context = [[82, 116], [18, 60], [20, 57], [23, 61], [66, 105], [56, 100], [182, 216], [1, 33], [11, 42], [149, 186], [21, 54], [124, 158], [14, 55], [114, 153], [27, 72], [19, 64]]; loss = 0.009823 low_pass_filter = 0.300
+Epoch 0: | | 12729/? [2:10:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 12730; scene = ['9244db5b18e2b374', 'e66b797b12d9b3ae', '9c8081404a3f7882', '25ebef2bb83c28fb', '5ea7115a2e255739', '75cf72cbf86f26c0', '1e901762e6303bd1', '6e521142e65f6c17', '552dfd0a1d1ec11d', '0a76fe2e2dbe992d', '0ea602343e77c593', '75134d5964b209a9', '7efc7102b3b079d9', 'b28bf243cf3e48b6', 'fa6b4b8565053454', '59e94a32e670efd7']; context = [[0, 32], [58, 102], [59, 102], [2, 37], [47, 79], [1, 47], [71, 104], [14, 51], [7, 38], [34, 71], [28, 75], [53, 92], [3, 47], [21, 52], [13, 54], [6, 37]]; loss = 0.011264 low_pass_filter = 0.300
+Epoch 0: | | 12739/? [2:10:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12740; scene = ['6d70eee02ef9d6ff', '53db70b63ac3990c', 'b789c7458ec68143', '8ac83ba3156df8d9', 'd12b528777b5bffd', '5961c0e76030094e', '7400bbcba57af668', 'cc8ca5db181e8bce', '917ab9849d0d6a8d', 'bcca779045d62e67', '504f84dcd4f6fd4c', '0f3a74f2d2eeb583', '0ed772aee274d4e7', '9741cf7012a04c9b', '015ca2f115af3dde', '8d073ac3acb75992']; context = [[1, 37], [14, 51], [11, 54], [40, 71], [0, 31], [9, 44], [172, 219], [125, 157], [52, 83], [60, 94], [176, 213], [0, 31], [32, 67], [4, 39], [13, 45], [3, 47]]; loss = 0.011219 low_pass_filter = 0.300
+Epoch 0: | | 12749/? [2:10:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 12750; scene = ['dd7eb3fbaa5f4f3d', 'f9fac61d6f0f5354', '77e47a1640600d9d', '33e9961fed513e93', '95479ca25e2d955a', 'aa2eeecbd664a892', '5f443f2595137e9a', '46646c26665e3f89', 'dd4840f0d5227d5b', '15b37a12fbda65da', '6d5e73f24d60de17', '7767685c39a88cf9', '17f47ff41a55a6e1', '876b693d043b22e9', 'dea498ff8b8ab6f9', '72eec921256814f8']; context = [[203, 243], [12, 49], [12, 44], [26, 66], [43, 76], [35, 70], [52, 88], [21, 60], [39, 82], [72, 116], [46, 90], [74, 106], [44, 78], [190, 235], [8, 53], [23, 68]]; loss = 0.010158 low_pass_filter = 0.300
+Epoch 0: | | 12759/? [2:10:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 12760; scene = ['62d6c63f8dce02c9', '147566669ddf5bf0', 'c44553e290135c7e', 'd18b58ec824238ed', '792db49cfc45f8ac', '059823ef51160b76', '996e68866947e1eb', '4dce6855bd78d472', 'bbd574fc81d02bf9', '463a721c706cb237', '4213a78b00a65962', 'e598c6c4d23a5619', '27b5502283386ee3', '4610410bd5d02055', 'b4a4ab4897aeb1ec', '73c5ddec7618bb6e']; context = [[162, 203], [44, 89], [95, 127], [33, 70], [186, 219], [14, 61], [28, 61], [24, 70], [143, 188], [117, 157], [212, 256], [34, 71], [17, 51], [138, 174], [0, 33], [0, 37]]; loss = 0.008935 low_pass_filter = 0.300
+Epoch 0: | | 12769/? [2:10:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 12770; scene = ['c86ccd2448e8735d', '37ff350eba2c5f64', '10810c921b4b3f84', 'cb6f68fd2e9755aa', '008d5bc870d12c22', '379f7d095dd31bbe', '6d638e347e889c63', 'ffc4643950346872', '66a09cc7f5e4dbc8', '1f2c53501ca20a48', 'd705175cee467a2f', 'c3f52f7d45615331', 'b1e2e8cfcbad32c6', '5e52aa7cf5eb7610', '958ea57802136c0c', '91122969503f81e0']; context = [[58, 92], [20, 56], [7, 42], [27, 60], [125, 167], [105, 140], [120, 163], [80, 119], [20, 51], [30, 69], [87, 123], [70, 110], [28, 73], [18, 60], [236, 267], [2, 45]]; loss = 0.011744 low_pass_filter = 0.300
+Epoch 0: | | 12779/? [2:10:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 12780; scene = ['cc067bb3726f6dba', '14a12379ac4fde73', 'f31b593e5f477596', '202b9a0a354f2059', '1c2baa22ca752e9b', '395b32343999e1a7', '3507a192abd163e8', '0b48360f07bde1ff', '736fdcac4334bc20', '71ed514b41b8ac5e', '55bcbb1d21f88c27', '6a3752b1792ce8af', 'e07b8e5f6e9fef91', 'e83dbd16dec37e43', '3f4ca1ecea630686', '9b8641a671477a0b']; context = [[35, 74], [44, 76], [15, 59], [125, 170], [157, 189], [51, 96], [19, 51], [38, 75], [3, 50], [30, 76], [11, 56], [92, 135], [236, 268], [53, 96], [32, 79], [38, 80]]; loss = 0.010544 low_pass_filter = 0.300
+Epoch 0: | | 12789/? [2:11:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12790; scene = ['cf32596390d11d7c', '2f7966a5066dfece', '395cbad13a85e090', 'fb3b1f662e902d9c', 'e6028373d0388cea', 'c5588bc0268e5c81', '16a3dad8315912bb', '312cd12b9be29819', '3afecd065021c4c0', '1d2c9ffecd057d36', '2c6974c8d0fd6426', '05aab341d9f7cd51', 'ed9391a68fe3d44e', '09987dcb90444a8f', '623703e844f4187a', '09895c510108d81f']; context = [[128, 169], [43, 75], [0, 37], [64, 105], [19, 55], [177, 210], [4, 43], [24, 70], [15, 47], [25, 67], [15, 55], [4, 48], [1, 40], [70, 108], [37, 72], [30, 76]]; loss = 0.010046 low_pass_filter = 0.300
+Epoch 0: | | 12799/? [2:11:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 12800; scene = ['0b3cb2cf49ec91e0', 'f7f6eca1f49f8580', 'f518da7a7d6bd238', '092892ba7b6943e0', 'b9e60d9c662753fd', '19453dc7ad86af4a', '3a08b53f7bda458c', '84830ea2f89dd47d', '88b813a9ea188da4', '635483ea0dc4688a', 'adb6466984682058', '9105f7b56c8f0dc3', '7aa0b50241a5f34b', 'd05f90bd3cccd46d', '972bf187dfa4ff2a', 'ae1e3e3e94a1bc1f']; context = [[56, 95], [38, 81], [125, 156], [0, 42], [7, 38], [59, 92], [34, 70], [11, 47], [4, 48], [147, 192], [35, 71], [5, 44], [15, 62], [29, 71], [118, 152], [21, 62]]; loss = 0.010305 low_pass_filter = 0.300
+Epoch 0: | | 12809/? [2:11:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 12810; scene = ['507b5a777e8b7517', '6920ac9035ec1bc6', '9610550dc2158bff', '82939e10c0a3360e', '15bbc78cbb8744eb', '2d66737832c4cd18', 'b479eeed22e8e59e', '765969df0c10cc67', 'f165d20dbfd51f42', '15bcc07bca382a0b', '4e3342227bac9194', 'b53bba5522b4b8f1', '8e38110489730c19', 'ce357c0e48f61ef9', '88d67718b0e0e025', '7357769abf6e270a']; context = [[117, 161], [43, 78], [58, 101], [219, 250], [52, 86], [114, 157], [43, 87], [1, 33], [18, 50], [100, 146], [32, 67], [49, 89], [2, 43], [29, 63], [8, 49], [4, 47]]; loss = 0.010807 low_pass_filter = 0.300
+Epoch 0: | | 12819/? [2:11:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 12820; scene = ['18ed5f9e86797748', 'dc8c60520f97768f', '8f143f06559309e6', 'aa0fc15ff8226499', '26df5708ad6e414d', '2ba70c51fe7b9b31', 'd2d3474ebd2be7e8', 'f64a64b4c17ad1b0', '68fe4c264682a4af', 'c90c46a5a1c95c0e', '5949f0b41fb6e848', '7fa967710229854e', 'de13992d44e86ff6', 'c6c114f98ad69a02', 'ec1789428dbe59d6', 'ae25c3b3bd733c0c']; context = [[9, 44], [64, 95], [37, 82], [32, 74], [31, 68], [5, 50], [1, 38], [2, 44], [27, 69], [212, 257], [54, 100], [1, 41], [7, 51], [24, 60], [57, 104], [44, 78]]; loss = 0.009539 low_pass_filter = 0.300
+Epoch 0: | | 12829/? [2:11:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12830; scene = ['2502f2ed6eaa9583', 'aeda9f612c0f680d', '08685fe389405ca1', '94b3131d49d0062e', 'd73f59491df24b37', '0d25405292bad7f5', 'cf40de219c17f028', 'c639a14f7f9b90bc', 'bdf3c546187a5a9b', 'dc82bc53272d4f60', '2d48a8217d6bdc97', '055ecd661c01319c', 'ad8eab5fc44a2cdb', 'a10c13e7b3ca2739', '3de83835be367bdf', 'daff359bb3c9a72d']; context = [[76, 109], [8, 46], [27, 58], [51, 84], [31, 74], [168, 208], [18, 56], [21, 53], [97, 135], [42, 85], [16, 51], [145, 178], [18, 57], [6, 37], [8, 53], [115, 155]]; loss = 0.010810 low_pass_filter = 0.300
+Epoch 0: | | 12839/? [2:11:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 12840; scene = ['17487b231252bcb5', '6c6a9874616bd4f3', 'c31738282f5e0f7c', '95ef183fe01ef0f5', '94c24d79a85823f3', '460edf005a29dbe8', '19e3eac3e025c3e8', '6f4af7195e3a97b7', 'b7fdfb242e095110', 'ddeb26aee2619bf5', '515754f1d2815313', '72ddf898c94766dd', '7eff5e9e76ba5d7b', '5f6c34666d91e1e3', '2192e23641f6bf31', '25e1057952554e53']; context = [[65, 100], [26, 63], [1, 38], [80, 121], [104, 148], [11, 51], [113, 154], [73, 111], [24, 64], [19, 64], [43, 81], [160, 198], [26, 63], [21, 66], [175, 214], [22, 62]]; loss = 0.010731 low_pass_filter = 0.300
+Epoch 0: | | 12849/? [2:11:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 12850; scene = ['f427a711c9d913d7', '57be712fb0ea2f4a', 'ff48623caeaa8f9c', '70a51dc88d4ff701', '677748baf15925e0', '966fe01da602a653', 'd61baebe55920a9c', 'd7435afbd0b0a8ae', 'd245364fcccb1139', 'ddabe0fc995cbc39', '25fb34c73d400784', '1afd39e5280277bb', '7634ccdf6c344129', 'b68cfe04fa83d13a', 'b1b3e987c23640dc', '9abe0db0374db859']; context = [[33, 73], [40, 76], [2, 44], [87, 120], [33, 70], [24, 66], [0, 32], [11, 49], [2, 44], [1, 45], [17, 59], [16, 63], [101, 134], [10, 51], [15, 47], [92, 137]]; loss = 0.010059 low_pass_filter = 0.300
+Epoch 0: | | 12859/? [2:11:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 12860; scene = ['53fe8fcecf2767a3', 'ba8af60a9d4bbeea', '61c3762e0090d702', '852820a2465b9c4e', 'c54760d0f4deddf4', '4d9699312cb68d15', 'b4a621ff4fc39bb6', 'fe3eb89cdb313955', '9467cca40f3ac088', '9d8d92be744082ae', '4fff9fbe73952018', '369fdb50d48334e8', 'bc449bba72ed3c18', 'b1dacfc09781d920', '1c3284259050a0a9', '13b21c39447af9bd']; context = [[45, 82], [22, 58], [8, 39], [43, 77], [29, 75], [0, 32], [41, 87], [2, 47], [180, 216], [5, 51], [11, 50], [0, 45], [0, 32], [3, 39], [159, 198], [48, 90]]; loss = 0.008786 low_pass_filter = 0.300
+Epoch 0: | | 12869/? [2:11:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 12870; scene = ['63e22bbf20853cd9', '6cb7f85c92dc6f1a', '854751ec83107f77', '521f7e732acd87d5', '348e112a06c25f4d', '55f8b7d5838491ae', '8dd25b0a12c6a8f8', '0a4984a2df86b475', '162b5410b9529295', '202804795c8dc7d9', '6ca7f051fa8000be', 'a212154cd39361ca', '0e895dab0c10b89d', 'bb3e352ee6959d9d', 'aa1de687b9ca8b3a', '55595976706bb7a8']; context = [[85, 120], [74, 114], [77, 122], [106, 142], [39, 77], [20, 66], [2, 42], [10, 54], [88, 131], [152, 196], [159, 193], [1, 34], [6, 47], [32, 72], [3, 49], [18, 54]]; loss = 0.011242 low_pass_filter = 0.300
+Epoch 0: | | 12879/? [2:11:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 12880; scene = ['e5da5035d5cf1047', 'c09c922d2505ce6b', 'af4d7b5f270b9f1c', '9055041789f01a42', 'b6ee356598ee3c4d', 'ce04d2f0e461e2b6', '5ed75ec6df343f5b', '824a064f8ab1cf0a', 'e0c47b9d7af9ef13', '96d77693e54350c7', 'abaa09068432a694', '81954eeb7c50183d', 'dc1110b7701f6293', '172722bb9e5e9e55', '959dd47373e8175f', '99c6206107d8beed']; context = [[45, 89], [25, 70], [14, 52], [14, 48], [53, 98], [8, 41], [12, 43], [36, 70], [22, 63], [13, 57], [30, 70], [7, 50], [80, 114], [7, 54], [9, 45], [78, 117]]; loss = 0.009850 low_pass_filter = 0.300
+Epoch 0: | | 12889/? [2:12:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 12890; scene = ['1136264929a1c20e', 'a0438ace9b7619cf', '77c03290d901ec15', 'e616312de3f164bc', 'c7c6c4112a3badf3', '9176677777da9d07', '2870538dbc6f5d1c', 'f54731b471e7b2e5', 'f29212dbf83dd9b8', '4b15ea1560f7c424', '04d6547f76c82882', '827c5f3b3886553d', '550bce5a68e987d9', 'ab0bc4f20f980b5c', 'eed4bc1d32a43a87', '51c08f281fa58279']; context = [[45, 84], [38, 82], [60, 107], [3, 48], [7, 42], [52, 85], [24, 71], [1, 35], [90, 133], [13, 58], [3, 48], [24, 58], [23, 64], [10, 42], [41, 82], [95, 138]]; loss = 0.011339 low_pass_filter = 0.300
+Epoch 0: | | 12899/? [2:12:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 12900; scene = ['7af3ae39bafa42ca', 'd00468d657637e58', '7c03b5dcd8d67884', '20e52dd69adce3bd', '0021e3be0043c3b3', '49a3f7ae3a565531', '927c1d583687a4a0', 'de24e08882c2f2a1', '491e340a53f1c0d2', '02dfa1c2784f08eb', 'fdea8b88ee5b83c0', '477d7b0b03458aa5', '7c25281ed9129369', '4f0426596f5d2a4f', '4f73c98468777026', '546804a3b5faccc6']; context = [[39, 84], [99, 132], [58, 89], [22, 59], [6, 42], [63, 99], [34, 72], [8, 52], [19, 66], [53, 93], [6, 50], [1, 34], [69, 109], [41, 76], [145, 177], [18, 54]]; loss = 0.014585 low_pass_filter = 0.300
+Epoch 0: | | 12909/? [2:12:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 12910; scene = ['c8be2a65ab3523bf', 'e93bcdd32f6201d2', '52353deaec940de4', '44ca078432802942', '5f204ad1cc82ddaf', '60d3394314e4efd9', '04653228d416959f', 'f1dfd9f275bfdb2b', '163e2dae752f2e08', '5edf50794aa6642b', '7af404ed5bc4ae26', '10e61d26bbf88ffe', 'fa2dd55d59f24505', 'bf171a0b8ca0c7a8', 'e9bf2976170647a5', '4d1600d81f68f156']; context = [[9, 45], [24, 59], [12, 43], [22, 62], [19, 51], [155, 190], [2, 48], [40, 84], [81, 114], [23, 66], [51, 84], [50, 86], [1, 38], [31, 65], [20, 56], [66, 101]]; loss = 0.012152 low_pass_filter = 0.300
+Epoch 0: | | 12919/? [2:12:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 12920; scene = ['75cb48a4c8049279', 'ab81540435e624af', '0e431041305e5bf8', 'd9205348ae400514', '5c6ef4865ed51116', 'aad6209cb374086b', 'eeb0131c26691b17', '3da2fff83c3e955c', '5acc2cb4c8cc2220', 'f695b9fd884f9c3d', 'da85e1680f6d70e4', 'c9755380f559fa04', 'd51efc546a523318', 'f728a149ea2dcc32', '82bb912dd8628b3a', '561055f011b8ec52']; context = [[42, 83], [2, 49], [18, 61], [44, 80], [21, 67], [70, 116], [20, 66], [57, 97], [87, 126], [6, 38], [13, 59], [32, 68], [49, 83], [42, 76], [93, 124], [38, 82]]; loss = 0.011192 low_pass_filter = 0.300
+Epoch 0: | | 12929/? [2:12:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 12930; scene = ['3922ba9aac216d1b', 'd308f019346aed90', 'd73c09ac36dd02b7', '252ab646bcd51b88', '07b60db51a783703', '60bce031665c4f4a', 'd3a0a89d951a6101', '85750648ae0a3571', '43f17977e6afe5a0', 'd34926c73ae1277e', '958596ec1ee3a839', '30df31bce0d6b16a', 'b43f32da9a7800ee', 'a3e1454634601a50', '01789229a85a4516', '465249a4ce4bef29']; context = [[30, 71], [1, 40], [51, 86], [37, 82], [6, 39], [57, 93], [187, 223], [76, 116], [56, 88], [146, 181], [17, 53], [0, 40], [60, 92], [13, 57], [148, 187], [36, 72]]; loss = 0.008688 low_pass_filter = 0.300
+Epoch 0: | | 12939/? [2:12:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 12940; scene = ['9610550dc2158bff', '15bbc78cbb8744eb', 'f165d20dbfd51f42', '6920ac9035ec1bc6', '4e3342227bac9194', 'b479eeed22e8e59e', '82939e10c0a3360e', 'ce357c0e48f61ef9', '8e38110489730c19', '765969df0c10cc67', '2d66737832c4cd18', '15bcc07bca382a0b', '33d57adf7f083810', 'b8766133be5a4e74', '8a4de0caa5254578', '7bd45958f4294e5d']; context = [[5, 38], [48, 85], [19, 64], [32, 74], [105, 137], [53, 88], [200, 244], [9, 56], [3, 40], [0, 33], [79, 112], [117, 159], [14, 47], [41, 88], [107, 146], [4, 51]]; loss = 0.011032 low_pass_filter = 0.300
+Epoch 0: | | 12949/? [2:12:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 12950; scene = ['dfa2e964f8ce4d39', 'e9a730eefa817d23', '61232854228e43aa', '41da53c2b1d8a000', '9af3593da4c1d27a', '9a1aaf5f24aa2a5e', '2700b330f81529e5', 'a39048679f06dbb4', '58d36cdef206c93c', 'ff28a57154e30bd3', 'f3b2c02f309d6712', '2e83f434f6fd8d6a', '2560583c1c055283', 'd9bd46334d64e003', 'd074517a27f42b13', 'cbab60c98a1e85e5']; context = [[92, 131], [10, 55], [90, 137], [42, 75], [12, 48], [10, 48], [34, 65], [2, 45], [112, 146], [35, 71], [26, 58], [10, 56], [37, 69], [8, 45], [60, 98], [190, 228]]; loss = 0.010815 low_pass_filter = 0.300
+Epoch 0: | | 12959/? [2:12:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 12960; scene = ['9b4a4e88873cdf59', 'b75f6cf11ebf48e3', '8ce4f67c5e2efad4', '0a586fd4bf0fab33', 'a4d91231aca52188', '86047fdaba2dd7d5', 'd18fb658445b84e8', '444fc05a193a5ce1', '322ce6f17ddcf8af', '28a61b0671b98d3b', 'bd99ad1d47bb9005', '0ce0280408216d05', '2bfb1fdeb47c139d', 'f92964360d184d99', 'd2dd3b46d9903314', '3d9f44d7bdd0796d']; context = [[65, 105], [31, 75], [15, 61], [8, 46], [1, 47], [94, 132], [111, 148], [0, 31], [121, 162], [56, 100], [47, 90], [0, 43], [6, 51], [7, 40], [68, 102], [24, 67]]; loss = 0.009717 low_pass_filter = 0.300
+Epoch 0: | | 12969/? [2:12:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 12970; scene = ['045a9a81122cf9e1', '6e238645b2a85804', 'ef98b97970d1926d', '12626eba886405ed', '869e9898965ded68', 'b8d55d4d98ec2500', '2bba4f98ea96daea', '84157bfab55e3573', 'fd46ddb80c816b61', 'eb92f95542ff395d', 'f870d1164b98e034', '1ff35ccd15e08a8d', 'e32ddf4210732a55', '1d3ccb58aefb0ad8', 'a66aadfbd6edfe93', '8fe6257e14ab51e3']; context = [[87, 118], [130, 168], [10, 57], [114, 154], [1, 32], [67, 100], [41, 77], [57, 93], [56, 91], [5, 40], [6, 38], [73, 108], [55, 99], [17, 58], [12, 50], [85, 131]]; loss = 0.008897 low_pass_filter = 0.300
+Epoch 0: | | 12979/? [2:12:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12980; scene = ['fefd0f966b7d6fe8', '67cc43badf38da40', 'fc8c7cb71ebb4a8a', '34dc2fc97f0847ec', '5878fff178507413', '8774981ec66bb258', 'db999dde95ae1ca2', '3faad0030fe08d62', 'cc3fd68dde81b99c', '208d8bd420d5ae84', '15300277e84db888', 'cba0a5697eda0832', 'd4526089dcdeca47', '4f5b3ac56f06c59f', 'd6a92c9fc0e93fcb', 'b54ba5c46655231f']; context = [[8, 50], [36, 78], [132, 174], [7, 44], [120, 161], [171, 210], [24, 65], [3, 45], [91, 126], [43, 74], [6, 48], [9, 55], [177, 218], [104, 141], [28, 68], [54, 91]]; loss = 0.014430 low_pass_filter = 0.300
+Epoch 0: | | 12989/? [2:13:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 12990; scene = ['8e2fd6cbc2bad37d', 'f058d149cc4be02c', 'bfa4146967e24f8e', 'eb928019466c6736', '847e8053e29adbeb', 'a45af19c2ad1b7a9', '7d0b23a5417adcde', '7ad3c6fe04b279ee', '8ab34eaa66b30d30', '1185796675009ca6', 'a831d37e59002526', 'dbf2a93c7a57fe21', '1b6cf9888d142fe1', 'c3533af28febf55b', 'e1a70992f73c5b37', 'aedfde725ac8cda1']; context = [[45, 89], [62, 97], [5, 42], [44, 90], [5, 41], [21, 58], [159, 193], [9, 48], [8, 45], [1, 37], [27, 60], [52, 92], [57, 90], [12, 46], [49, 96], [138, 169]]; loss = 0.008296 low_pass_filter = 0.300
+Epoch 0: | | 12999/? [2:13:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 13000; scene = ['f32c123eb81c5f5b', '699a84e76fbb34d7', 'f6d3ecda8aa336f1', '2c2bfbbf301cfd33', 'b9518d3dd1f060c7', 'a5f5f9de4e24a755', '55f82df26da1032c', '760a4c39741f46d4', '410d94f29ddaa79c', '38490fbf4fd1f065', '9378834edf2b110a', '6452c61ddaaa86ae', '52bc5e66187ece16', 'b3abbcb1c46400fe', '0e0b8f80c06aaf0a', '17bd30519a9a3387']; context = [[173, 218], [65, 100], [12, 45], [23, 54], [92, 138], [26, 60], [23, 57], [114, 145], [16, 47], [35, 76], [6, 43], [25, 58], [35, 74], [7, 52], [231, 269], [50, 92]]; loss = 0.009087 low_pass_filter = 0.300
+Epoch 0: | | 13000/? [2:13:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0validation step 13000; scene = ['3e07add8413f8157']; context = [[49, 95]]
+Epoch 0: | | 13009/? [2:13:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 13010; scene = ['e4532151b691dd37', '5c94f503e4e84163', '905511ad5e23a6e5', 'a17898923fa069b5', 'f9439e8dc272843e', '705be65c924cf493', '24d0c50b0d08445f', 'c2a4f8a0206456ff', '916fbead6b97efef', '811e0e6fc16a4a3a', '8cba0fa4eafa14cb', 'a40cfc3d2bfdfa40', '28a2551c138c1f75', '5ac5095c5ba03d10', '09a5339ccc711be4', '808e9fd47a7c37ec']; context = [[23, 61], [26, 65], [10, 51], [27, 70], [29, 73], [5, 42], [61, 106], [33, 76], [133, 168], [6, 52], [118, 151], [41, 74], [61, 103], [57, 101], [10, 53], [15, 57]]; loss = 0.013553 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 13019/? [2:13:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 13020; scene = ['b57ab022d7aa874c', 'a37aad7a34d52099', '9e633a922e716e6d', '8034b7282e9b4f7c', '6a5376582bae4b9f', 'aa5bbea5a351866d', '5be58e4d2ad059d0', '5c79ead719727673', '083888ddd44982da', '3dca9c50e63b5ab2', 'e44658a3501601eb', 'bcb825ddb88f6a3a', 'a7ba9f407428dc57', 'a45c154e21ffa65c', '8bdbfd0298e5b696', 'ea1d7d4183eff93f']; context = [[121, 168], [120, 155], [68, 102], [77, 118], [55, 102], [51, 92], [102, 144], [0, 35], [32, 78], [56, 95], [54, 93], [107, 144], [1, 36], [92, 129], [16, 48], [68, 103]]; loss = 0.011234 low_pass_filter = 0.300
+Epoch 0: | | 13029/? [2:13:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 13030; scene = ['43f3809e04ddf7f3', '2f455705d2c96e66', 'f8b4176d2ae1af2b', 'd665875819ade8c4', '3db4b6f273920241', 'dbcbfa5009d3737f', '0d507e4ed6f74f50', 'd52730231fa8e38a', 'ed9fe965631b2f51', 'e54e03bffe8bd2db', '19531ca5571412d5', '5709cb008a9cb9d6', '6e38d2e032c9eb99', '51ceead3b54614e0', '61e79b9fd877be55', '8881315dba2d37e0']; context = [[45, 92], [189, 223], [141, 182], [2, 33], [136, 178], [6, 45], [1, 46], [49, 94], [4, 39], [69, 115], [10, 51], [126, 173], [25, 65], [30, 73], [34, 67], [35, 73]]; loss = 0.010922 low_pass_filter = 0.300
+Epoch 0: | | 13039/? [2:13:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 13040; scene = ['e9cbe9e700c26527', 'cb1c282bf846a3c0', 'f4510233c5634447', '16d832ffbb1e7932', 'cc079b0ac012e015', 'b1c7a57152e9c4b3', '95060b5812ce1211', '18a0e78ac4572269', '43ffd13c1c002f54', '725fac3f3405f504', 'f4ba6d204cb14df7', '6e660339fe5d1518', '20d8f725ca43a225', '30400d1809189f16', '1f214117250f089a', 'faa760d7d2c034ec']; context = [[15, 53], [25, 72], [1, 32], [38, 82], [35, 82], [62, 95], [26, 63], [158, 198], [6, 40], [165, 212], [59, 94], [7, 47], [30, 73], [109, 140], [183, 220], [22, 69]]; loss = 0.012244 low_pass_filter = 0.300
+Epoch 0: | | 13049/? [2:13:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 13050; scene = ['dcb7551919456931', '312ed3299485b994', '840e57a017357225', '0294b1cb70478a95', '4e234250febdd495', 'c48422606151f546', '8fb752ea61e9ed9f', '36f6688411ac5579', 'f493ee914a673ff5', '69293f51157ba0fb', 'c56e0d67e4d6c3e1', 'cd4b6bddafd166e5', '7426a108ff0bd8f0', 'ae76b3fefecf973d', 'a1331ad1467f9dbb', 'd670e439d6d9ae8f']; context = [[40, 79], [8, 43], [62, 100], [16, 59], [4, 45], [10, 49], [1, 37], [0, 31], [19, 58], [0, 33], [21, 53], [169, 207], [231, 277], [0, 36], [80, 124], [6, 52]]; loss = 0.012565 low_pass_filter = 0.300
+Epoch 0: | | 13059/? [2:13:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 13060; scene = ['2f455705d2c96e66', 'd665875819ade8c4', 'e54e03bffe8bd2db', 'f8b4176d2ae1af2b', '0d507e4ed6f74f50', '724f9f3b50e2a778', '0b714d93b8d1d0f4', '105e6a039d9e486b', '37a6668e37b81707', '6c3b33f3d1f6c0a3', '6d02873a8e2a1124', 'b071ce2b817199b0', '020be62e8d7528cf', '34b49975160a39c4', 'd26a81d0bd4443b6', '2d8cb7be1e2f7383']; context = [[20, 62], [0, 31], [171, 203], [77, 123], [99, 135], [23, 66], [8, 45], [15, 48], [23, 69], [0, 31], [187, 226], [116, 155], [51, 96], [29, 76], [168, 204], [24, 60]]; loss = 0.010219 low_pass_filter = 0.300
+Epoch 0: | | 13069/? [2:13:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 13070; scene = ['cb6419023897e80c', 'a7b8522c8c3153c4', 'c6445c21aad2bcf1', '0a042bed0ad1e401', '22d5f3a76b94182a', '90f08800a0e95efa', '5d68ede0f829a545', 'd7154ee69ea14c61', '4b135b575c9c5ef5', 'e97617b00097605d', 'a050deb6d503757a', '4d2c0f16715e0c6f', '9cd2647d88c67314', 'cd3c99af3e6f1291', '7c5db86d341e9176', '1e5eb15309d11c41']; context = [[10, 55], [182, 215], [71, 108], [4, 46], [7, 45], [37, 79], [10, 50], [38, 81], [11, 51], [65, 109], [110, 148], [194, 232], [57, 94], [75, 112], [0, 31], [159, 197]]; loss = 0.010872 low_pass_filter = 0.300
+Epoch 0: | | 13079/? [2:13:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 13080; scene = ['a895746dbfcae9fd', '69937c2efa2c110b', '0c7cb5d7206b8f56', '702d6cd812ef150c', 'c53e0b350f04f159', '64327b991f165570', '351b8ee067a5b409', 'd58471c80d3b334d', 'dc4b01caf622c778', '6666ae9375b1656e', '307049b9515d7ee6', '46d11fdef3f136d3', '3c418948bc7076cb', '3323fc8b3b6bccbc', '95b1deb2d645f275', 'fd4d668123665d1f']; context = [[25, 58], [0, 47], [186, 223], [1, 44], [23, 67], [62, 107], [0, 38], [7, 38], [223, 262], [19, 66], [39, 74], [38, 82], [31, 73], [33, 67], [72, 106], [61, 96]]; loss = 0.011167 low_pass_filter = 0.300
+Epoch 0: | | 13089/? [2:14:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 13090; scene = ['3db4b6f273920241', '19531ca5571412d5', '535fdf16906072c7', '0154dcafdf387a0a', '06dd8772e77b7738', 'e0aeb18b259372fa', 'e5a4dcf034c38fc7', '7b18ad4131a3c318', '2745f6d6846847d3', '901da44e3786eac6', '8195e8de2d85356c', '5a7cc6854438d617', '1864a988dcd127e8', '4fbefae3f03e9f33', '32ca420636e7498f', '78086fc839b55dff']; context = [[59, 104], [85, 129], [0, 45], [34, 70], [80, 121], [57, 103], [38, 69], [90, 127], [0, 35], [9, 50], [13, 50], [199, 235], [49, 85], [5, 47], [92, 135], [30, 70]]; loss = 0.008941 low_pass_filter = 0.300
+Epoch 0: | | 13099/? [2:14:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 13100; scene = ['abe09fe4b76e38a6', '3daf1eabf19c93ec', '77d4dad49d3bf4f1', '6d5ca78f3b7111eb', '5ab460913e459419', '0bfdec70b0e4848b', '85d78a23254e792d', '2a738a49db16bea7', '27227056e078032b', 'a64972f2ce3ab93c', '534a13c9352bd9af', '2d5367d8abf2a189', 'deace859a58d2b95', 'd8ba8a4fb9c1c2e0', '4ee47d2221d5b867', '13eeb9d14b8f8449']; context = [[31, 66], [43, 74], [107, 150], [62, 108], [82, 122], [1, 46], [48, 88], [16, 49], [3, 41], [99, 146], [22, 64], [76, 109], [13, 51], [79, 125], [0, 42], [9, 45]]; loss = 0.010782 low_pass_filter = 0.300
+Epoch 0: | | 13109/? [2:14:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 13110; scene = ['d6ac297a4d15b7b0', 'ebefa67b99601839', 'a35fcfd5ca571296', 'e2b10586530728fd', 'afd1f0b4fba0c645', '28e2882fd19235da', '44c89ea5834e28b3', '6c37b62853077e8e', '8dfe8887806a699c', 'c7159a8daad87750', '0efc5f77b13da150', '5bcef3db70b6a339', '25c642db7f0f4274', 'a1bcecce933334ec', '576bcfdc62b51455', '9d04c5c69b79b41b']; context = [[38, 84], [28, 65], [40, 82], [24, 64], [236, 268], [11, 56], [20, 65], [0, 32], [1, 44], [28, 69], [2, 46], [8, 46], [46, 93], [0, 44], [2, 42], [89, 122]]; loss = 0.011258 low_pass_filter = 0.300
+Epoch 0: | | 13119/? [2:14:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 13120; scene = ['17805e587507e9e2', 'ecd718353f8f83a9', '1e496656b9d98481', 'b3a29ef93f2d9418', '24a5b18908fc004d', 'cb1ecfd7427463e3', '3c8c39f9ac4df6df', '50be6bda22ad172e', '1f28c177c829855b', '8dd3b522ff68a4aa', 'd326909d557faf66', '927a91d4f0d12802', '2ec1f000c3fdc4dc', '55470b75c7afb481', 'b1b3c256fa38e565', 'f1a9c18459064ac1']; context = [[32, 79], [68, 105], [211, 252], [48, 95], [206, 240], [220, 259], [16, 53], [44, 85], [64, 100], [59, 95], [24, 59], [144, 188], [2, 40], [11, 52], [5, 52], [36, 70]]; loss = 0.009462 low_pass_filter = 0.300
+Epoch 0: | | 13129/? [2:14:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 13130; scene = ['9c72bd16d6b22437', '7070aa1236baa8f7', '0452212f8a422ba3', '6c9380078876c6ce', 'a57af4a50085aea0', 'b04757cf619d9817', 'a485b22b932c2626', 'fc0717ba72e4e99c', '4666bf577ab773ea', 'dca97964a12df798', '72462c3f55e7b2de', 'fbf2a517abd3352c', '92e7dcb8dd47d9f5', '173cca7b55907996', '4dae38ded755d705', '818489c872b5472e']; context = [[95, 142], [152, 196], [30, 69], [87, 133], [56, 89], [4, 44], [49, 85], [5, 41], [178, 225], [44, 79], [38, 75], [25, 67], [221, 256], [24, 60], [15, 58], [233, 271]]; loss = 0.010062 low_pass_filter = 0.300
+Epoch 0: | | 13139/? [2:14:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 13140; scene = ['27159dbf7b134cd9', '171d2b088e5c6bbc', '72022413d449fb8a', '5f07e3aa7ddc5cfe', '8f669ff171c957d2', '69930f56840795cc', '9d3f195e8d854334', '5b6ffc1737e0b9d1', '6f314baef40789e0', '1b40e8f1f25b0e73', '55bbd93d2b19cf59', '4102c95a9026d0ee', 'cfc5f9298ced6d9c', '732acd98ac4197e6', '3c3a350286d1a451', '49fc667ff679205c']; context = [[84, 122], [54, 98], [154, 186], [9, 49], [10, 41], [16, 59], [1, 46], [16, 57], [36, 72], [53, 96], [77, 116], [29, 76], [65, 106], [80, 118], [16, 48], [6, 38]]; loss = 0.008390 low_pass_filter = 0.300
+Epoch 0: | | 13149/? [2:14:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 13150; scene = ['976f694a50452c78', '9363a558aa68d23f', '2d6f177e85d244a0', 'd256260f2a5aea8c', 'c0f9d6c981f56f1a', 'eeac9962eca476e8', '158172baed11962e', '631faabe036acfbd', '0b7b84c45ac83e42', 'd9df8387312aa338', '5bea8db2d4f7856b', '844bfbdd9595723b', '69a71426eaf232fb', '409992fcef38c5b3', 'b936c3cd1f2b8781', '13457154dbd7bf5f']; context = [[49, 84], [24, 62], [13, 57], [10, 53], [40, 85], [150, 185], [12, 57], [51, 90], [56, 96], [9, 47], [21, 58], [50, 95], [11, 42], [32, 73], [67, 101], [22, 58]]; loss = 0.009964 low_pass_filter = 0.300
+Epoch 0: | | 13159/? [2:14:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 13160; scene = ['66f5b4fc4d4b11e9', 'd324f36129c89fa7', 'e8e115464fbe84ca', '5b24cc641fd8e56a', '463338d27813b202', '7623ff6b4eaf4cbd', '91188f3f75824ae6', '970d8b8f32b657c7', '32a01427f04b7038', '08795007f7dbe014', '742400ae02982a58', '214d64d6c28f8e13', 'b1c707aa2779dc3a', '9c600c825f25eeb9', '7d85c5ddbfd79e1f', '89e12b43d22bb95d']; context = [[1, 46], [50, 91], [216, 262], [10, 44], [19, 62], [13, 52], [85, 117], [30, 75], [29, 61], [143, 187], [123, 168], [7, 48], [58, 90], [59, 96], [54, 88], [162, 194]]; loss = 0.011280 low_pass_filter = 0.300
+Epoch 0: | | 13169/? [2:14:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 13170; scene = ['152d6d3ac836afd3', '7ee2c0f45d7cb0ac', '5176c714d2e72855', 'edc12d141059e496', '10e35fb0eb1b120d', '5c12d0e4b30e7d1f', '6f842ac896c325b6', 'd60f30aa087b87cb', 'fc0ba1bf5a6cbd74', 'b95e6cbb519ddddc', 'b45439e3cf90cb9a', 'd7f009ec2ab543f3', '357ad9c49b80724b', 'e80dbf2f8aa076de', 'e4e90e143157bcd4', '8f87ee764e31cf83']; context = [[29, 73], [16, 53], [16, 48], [84, 117], [5, 39], [98, 139], [63, 109], [43, 87], [1, 36], [1, 40], [40, 81], [165, 202], [6, 42], [21, 62], [27, 66], [23, 61]]; loss = 0.011566 low_pass_filter = 0.300
+Epoch 0: | | 13179/? [2:14:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 13180; scene = ['95d8fdbde6d3bc0e', '169b3450c206409c', 'bf42ddb0b05a042b', 'a4be14ed97b5545d', '8aa808a0b8f615e0', 'f708a1924342daa2', 'ed5b14b917518937', '3d25472e6c3c1656', 'ff9b2c0bb5d5265a', '2fcad17f6d64f031', 'b476d01a67642324', '33a7d571ab031d70', '86bf9a8f338370fa', '40a1217116dc112c', 'a8dbc5491c002f9d', '3af52105acc793ba']; context = [[104, 145], [5, 50], [4, 44], [55, 90], [7, 51], [30, 73], [6, 46], [13, 54], [34, 70], [12, 49], [65, 102], [7, 54], [76, 118], [55, 99], [63, 101], [28, 74]]; loss = 0.010031 low_pass_filter = 0.300
+Epoch 0: | | 13189/? [2:15:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 13190; scene = ['ee4135cc9fddf6b0', '00336da5ecce4cb3', '686fc9257c8fad1f', '180cd3034985cc24', '1a81dd5de456f254', '98b525bb4a063f5b', 'ed02f848dd02d61f', '094f8c7e2d09a79b', '5516acbfaeb3c455', 'bbdfd0941d4d279d', 'ff909d460f2ea5a3', '6185798eba1315d0', '74376eb028a5ffb4', '45a8384ceac2792e', '411cd9753a82d34c', '18d6c850158b4165']; context = [[2, 34], [16, 61], [22, 54], [163, 207], [23, 69], [6, 38], [33, 75], [45, 82], [9, 53], [56, 102], [1, 44], [9, 47], [5, 51], [2, 34], [110, 148], [117, 158]]; loss = 0.009033 low_pass_filter = 0.300
+Epoch 0: | | 13199/? [2:15:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 13200; scene = ['9fd59b650e13ca92', '5807e404a598a0b8', '68c3107b95d00542', 'a212e7b4ef90cba7', '7ab3467d71486fcf', 'a6c70f7816a833ed', 'f5760f5bb83216c4', '8c847be312ef6f7c', '636d5873a32235fa', '3e05de98609eb531', '4666c8dbed232754', '6627158f8afd52d8', 'ffeaf3cac2d50a3f', '90627bdb5d03335c', '94a0f9c12cb65e4c', '5fd6fcf6769c4788']; context = [[21, 58], [8, 52], [28, 72], [14, 53], [32, 79], [33, 66], [17, 55], [123, 167], [8, 50], [3, 40], [29, 66], [3, 41], [25, 60], [97, 141], [68, 111], [143, 180]]; loss = 0.010379 low_pass_filter = 0.300
+Epoch 0: | | 13209/? [2:15:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 13210; scene = ['a2dbfc443c201a0a', 'd50e7c48f102d70e', 'bbec698826707bcd', 'e66860cc136f6424', '61827b8206bace2b', '0dd89c7680c86b9d', '31872a4e7ae8faf8', '346dc3636147f48d', '3bfec395b8c94681', '053fa3b31bd31cf6', '01dff3e73e135695', '4afa06236618dc34', 'f1107a1bee7889a2', 'b708eb4026ae8eec', 'b783fd026ee69b9b', 'ac9a1770e4ceba74']; context = [[114, 149], [21, 54], [72, 115], [19, 55], [0, 38], [14, 52], [23, 60], [51, 97], [3, 48], [61, 103], [69, 106], [17, 61], [100, 137], [0, 40], [159, 192], [5, 43]]; loss = 0.011967 low_pass_filter = 0.300
+Epoch 0: | | 13219/? [2:15:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 13220; scene = ['f1aed96a3877dc93', '524fb31ac3c4c6e3', 'cf0bd6b91722d169', '2e7ce89b626118f3', '70015b090d2a010f', 'eda5afc31e72fa07', '5fcecfbec64b8d73', '200d089aa97c703d', '23ff985b834d45c7', '652c66200c9455c4', '6c2064d3a48af4f8', 'c8e4353672f44787', 'a26423d875c0d5ac', '0d09c2387300dafa', 'efcab7b049eeac51', '5502065c96e0dcb5']; context = [[6, 53], [23, 65], [33, 79], [57, 102], [20, 55], [60, 92], [20, 63], [111, 153], [16, 53], [0, 44], [167, 201], [175, 215], [74, 114], [49, 88], [118, 155], [136, 179]]; loss = 0.010528 low_pass_filter = 0.300
+Epoch 0: | | 13229/? [2:15:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 13230; scene = ['87f1e7486245b241', 'de0d6a8a41cb09b8', '4e3112764dbd9862', '36eeea12dfc36430', '74e8bbc4737ef761', '9de4a2f511920a69', 'c3120b358e2ef0eb', 'f46ccfe3474b9dca', '61db6faa8976e059', '24fdac454bc8b3b0', 'd14f895ef004feb7', 'd68d3f0ad69e8ab8', '796064d2460d5507', '3177edcd703f2ada', 'd625f06f1ca09d8d', '9335a49eaf704374']; context = [[19, 63], [38, 85], [95, 139], [16, 60], [25, 66], [26, 70], [98, 137], [13, 50], [27, 69], [52, 93], [34, 76], [83, 128], [8, 50], [0, 34], [18, 55], [7, 43]]; loss = 0.011401 low_pass_filter = 0.300
+Epoch 0: | | 13239/? [2:15:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 13240; scene = ['7400bbcba57af668', '53db70b63ac3990c', 'cc8ca5db181e8bce', '321daaf7850e7d74', 'dea5bd0f77069f72', '65cdd012231a757c', '8ac83ba3156df8d9', '0ea852338a77c84d', '9890a01b883b8cbe', '83559529fc525a03', 'e62ee8ff4179b4b6', 'c7729ec50d323a67', '2d17040e1efd14f3', '066f2d93ea35667e', '6c52c204d0fe9f7f', '5859921034bf353a']; context = [[207, 251], [81, 115], [51, 85], [116, 163], [53, 95], [198, 237], [63, 101], [5, 38], [10, 47], [20, 53], [25, 68], [75, 117], [63, 106], [105, 140], [63, 106], [9, 51]]; loss = 0.011623 low_pass_filter = 0.300
+Epoch 0: | | 13249/? [2:15:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 13250; scene = ['a58982a3ce680e24', '6a29509f2445af0f', '38b83c7b78639e3f', 'c77a808062342099', '0e72268501544770', 'c154a6957de15e6a', '4d347b9ec45c4a8a', '454ec1076e5c68b2', '95387090e0043daf', 'd39f9e760c65086e', 'd2eaa5c3772c2ba0', '55ea566a0298d91f', '1c5523bd8867d068', '7ca371bda254ed80', '2de7f58f5e033b42', '90b7a1054476cbe1']; context = [[11, 54], [0, 33], [53, 87], [90, 132], [12, 48], [51, 91], [9, 48], [64, 107], [144, 177], [54, 87], [66, 104], [147, 186], [3, 39], [15, 51], [11, 53], [19, 59]]; loss = 0.010440 low_pass_filter = 0.300
+Epoch 0: | | 13259/? [2:15:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 13260; scene = ['aed37e3fb2987d20', 'c77420b51c2e86d5', '7e9532ad39a6f4af', '35be366ea8fc6899', '3dea1f0782724e2b', '7eaa23d04951ffe6', '21cdb061965f9b4b', 'a679f322e22ef3a4', '319f501207f10fa4', '0713aabe3917739d', 'be553334cc0aecbf', '3c4c974cb4c99ec8', '3f2972e34f9dd554', 'f9835f45bbc6a4fa', '3e74bba8632c9324', '6c752d1521988682']; context = [[212, 247], [21, 54], [42, 89], [12, 54], [28, 67], [26, 72], [2, 46], [30, 77], [71, 117], [77, 121], [92, 125], [158, 197], [7, 47], [35, 77], [51, 98], [123, 160]]; loss = 0.011857 low_pass_filter = 0.300
+Epoch 0: | | 13269/? [2:15:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 13270; scene = ['01de07e7daadeef3', '244b80df38f14975', '6e81ca0e354790fb', '5ec323891006d34b', '03f58bc0add4bb64', 'f650d13792230fd4', '91583403fde33a20', '96b0b1c4e87606b6', '5bd9925b916632d9', '1471a5fdc5bd5d6b', '10a430cb5b580c97', '513aa200a2b07a1e', '9173a0f0f9fbfafd', '077a814db8619777', 'd1ebaa99e640cd7d', '0533d23dfb17f17b']; context = [[14, 54], [0, 34], [1, 48], [2, 42], [196, 241], [12, 52], [52, 88], [70, 110], [8, 52], [34, 69], [48, 83], [26, 66], [0, 32], [75, 117], [37, 80], [109, 151]]; loss = 0.010206 low_pass_filter = 0.300
+Epoch 0: | | 13279/? [2:15:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=29.00, train/active_min_children_step=4.0train step 13280; scene = ['d0c8bd037dd1a8ba', 'ac9aec32ea6234c2', '0032c663bb6d838e', 'be3290ac59571445', 'afd79cf17dab3e39', 'ca1925532ad236a0', '4762616d9149433e', 'ac090d5fdb989475', '74cf66be9d66c8c2', 'ff9879889b2fc896', '5fd4e49b87e4a570', 'cf5a9d93df10f156', 'ab0df7dfba225813', '59debacfacac8c12', '6a8abf8024d445e7', '6ceef29d3cd6caf9']; context = [[105, 139], [0, 39], [17, 51], [8, 51], [82, 127], [18, 57], [173, 213], [66, 113], [34, 74], [3, 46], [0, 47], [61, 100], [0, 32], [0, 35], [1, 47], [1, 35]]; loss = 0.009463 low_pass_filter = 0.300
+Epoch 0: | | 13289/? [2:16:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 13290; scene = ['0e29f4ab6e560718', 'b90e6edbbd3c8977', 'ba03cc7656f44008', '61281835a0db58d6', 'a058387e70a3e4dc', '67e5ea85e84eb456', '7023a23b1f43a8f7', 'a9b3f434c7a74a40', '71123d626135fbfd', '0e5a11b16e833133', '5928902d4e5c208b', 'ad1b0a314fd140e6', 'ccd9f68bb34bbff4', '5198bbd75640b179', '6f61d916513afe2c', '04d184f9c745910a']; context = [[4, 40], [2, 42], [3, 50], [9, 52], [13, 59], [56, 99], [42, 84], [40, 80], [5, 46], [87, 129], [59, 93], [10, 50], [226, 267], [15, 60], [37, 78], [36, 82]]; loss = 0.011309 low_pass_filter = 0.300
+Epoch 0: | | 13299/? [2:16:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 13300; scene = ['ad91b5890f8cd86f', 'b3bd757032c06692', '52a73c0beebbd06a', 'e291858411a38891', '59c8185edac612bd', '524cac36a2545b6e', 'b73ca7a033be2fe5', 'e8b4e52e3f875679', 'e623a0ea7754acff', '54892db9883bdeb2', '26e28d2886638bf4', '1b2463f9d2759073', 'e647d3dca9afa2d4', 'e3f69d6b8251e4a9', '2df270a308fce16a', '5ae12f0ee3f7ad6f']; context = [[28, 71], [28, 75], [37, 84], [5, 42], [121, 164], [32, 64], [28, 65], [39, 86], [144, 184], [72, 117], [21, 64], [57, 91], [28, 64], [18, 61], [40, 73], [22, 64]]; loss = 0.009516 low_pass_filter = 0.300
+Epoch 0: | | 13309/? [2:16:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 13310; scene = ['27cc9e8e5d628dc3', 'b0a821041e945fb5', '35755b6118b6d717', 'f8fb59071f05cb6d', 'b4afa5f85689421b', 'e47634b0f5f5e6ff', '00cdf8750f5182cc', '974f8bf4f55b941b', '06021e71c89de687', 'e04f7fb189a186f2', '7aec8305761aba3c', 'c7ff883d4ef56b7b', 'ec6e7c0c29cccc86', '2e56f864030ef8d7', '31acb3482cabe228', 'bfee9355cfa1bf11']; context = [[109, 156], [155, 192], [156, 188], [5, 48], [38, 79], [33, 68], [60, 103], [0, 32], [45, 88], [158, 194], [189, 233], [177, 223], [42, 78], [18, 55], [47, 95], [43, 90]]; loss = 0.009633 low_pass_filter = 0.300
+Epoch 0: | | 13319/? [2:16:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 13320; scene = ['eb11a3065fa51c18', '271e98f377d9979a', '2534607529c2b18f', 'ca894ae64063abe9', '2c5110884efb7b8e', '2248dfd686c001dd', 'ab96d082e3ebc5f3', '3a394bb7b1240d9f', '6d152b36a2c6b3a0', '0c6a2ce61c921520', '9575639b887c61b5', 'cba7a7869de72700', '9fbb249fd2eaba0d', '627e3c3515df5daa', 'b684311d3a0d4ac7', 'aed476777893fd8e']; context = [[104, 151], [35, 76], [66, 112], [195, 237], [126, 159], [33, 66], [81, 117], [202, 244], [6, 52], [77, 118], [4, 37], [19, 58], [6, 51], [23, 62], [137, 174], [62, 99]]; loss = 0.010323 low_pass_filter = 0.300
+Epoch 0: | | 13329/? [2:16:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 13330; scene = ['a8f16a0f9e66da3a', '6f097566ab5011da', 'dbcf7e96dd9449e7', '81940f462ed20fd9', '9b44d7f7f1e76dda', 'f2fbebb2b7cb9d0d', '8059bc76d9f034c2', '474702f1cc9d2dac', 'dc844d908c631b63', 'c9c9a2028bc5e37b', '8610476b7d4b2394', '9f62a023f2d748f7', '413e3b5c119710b3', '7bc220bde1ecc99c', '4edda19fc6bf05e6', 'a78b0452a2d05f18']; context = [[110, 142], [37, 77], [26, 62], [93, 130], [109, 150], [33, 75], [44, 79], [3, 46], [204, 238], [91, 135], [21, 65], [171, 211], [0, 32], [11, 49], [66, 109], [156, 203]]; loss = 0.010624 low_pass_filter = 0.300
+Epoch 0: | | 13339/? [2:16:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 13340; scene = ['655234c2b421904f', 'd4c8ef2d288fd1bc', '089cbe98ad3beddc', 'ad37a470893adb0c', '79049d915465c4e2', '76f53a277c8e50cf', '4379921e6438fdac', '9e732b6f83edaa38', 'b6bc533cae48ea5a', '472c6da60ce7c148', 'a8d37772aaad1161', '03f0a355552602a5', 'b6eea50d37cd996c', '89680a7f11b75421', '282ff31ba697ef6f', '916cff79bab5c96a']; context = [[23, 67], [22, 59], [11, 57], [21, 62], [27, 73], [38, 73], [117, 163], [172, 207], [14, 49], [4, 46], [10, 49], [4, 36], [2, 50], [24, 59], [35, 83], [32, 67]]; loss = 0.010974 low_pass_filter = 0.300
+Epoch 0: | | 13349/? [2:16:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 13350; scene = ['4813e06ec55ba35c', '29cbd3d1ea610876', 'd81177196427a1d8', 'bbd22864c2c8c4e0', '7d2242665e3a666f', '80ff240cf672bdac', 'a557bfdcbd9558f7', 'e8d5d9efb11ec268', '250c4a4a83bfc356', '547a595ec6671f74', '8290c21ca69361ec', '6fb04fd025ea9cc8', '941a34a5fe903815', '4d2637e39b66f24e', '6bb71ae77f76b7ef', 'c6e7d2560cc98ddf']; context = [[97, 129], [9, 54], [10, 44], [24, 70], [4, 40], [0, 35], [17, 61], [107, 153], [15, 58], [31, 65], [84, 121], [1, 33], [67, 99], [2, 42], [61, 97], [0, 46]]; loss = 0.008638 low_pass_filter = 0.300
+Epoch 0: | | 13359/? [2:16:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 13360; scene = ['c087bcbc6887fb94', 'f7a40f73064a3c09', '4a6fc7a3eda909ae', '7bab8b0d42cf453c', 'a0593f34e6705c82', '9d219f3e05b22cb2', '6664d1ab6ca3f57e', '23ea245052ef54f3', 'ac1189c4dc68fb2d', 'b68cdb4cdd702112', '65cb094aa58e64f7', 'fd1ec3e7d1725c17', 'e91ea9998edd1a3e', 'fba4e3544c47c1a7', 'aec37c0c07847354', '053b8c046d8990e3']; context = [[0, 40], [92, 129], [47, 88], [43, 86], [130, 176], [146, 178], [7, 54], [35, 69], [163, 211], [13, 48], [68, 114], [27, 75], [61, 100], [64, 104], [62, 95], [28, 75]]; loss = 0.013647 low_pass_filter = 0.300
+Epoch 0: | | 13369/? [2:16:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 13370; scene = ['6bfb1c61eb2da4dc', '5be69b4c1416f7b4', '3edc3b3cca12d34f', 'cdb3acdaba0ba837', 'a6806b331efee592', 'be3f01ddef87bd4f', '1e070505986c54a5', 'ba8513b8614bf99a', 'bb8f58743298049c', '1d6150419fe159b2', '9c553c8d306581ae', '263271a1bcb631b4', 'b1f4bd04727375ff', '99a5b8917c62c1b3', '23c5fd8b2ee6b24e', 'dff38aa5c1474f90']; context = [[14, 48], [9, 41], [2, 38], [24, 69], [120, 157], [49, 94], [24, 66], [37, 77], [48, 88], [0, 38], [44, 78], [9, 57], [26, 59], [14, 56], [9, 47], [24, 63]]; loss = 0.011005 low_pass_filter = 0.300
+Epoch 0: | | 13379/? [2:16:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 13380; scene = ['1672c494acdf9a51', '3b5f903cdb3d9583', '4466e384294450be', 'e82f58c638cf3f5e', 'a9aa19912b72f767', '67b48a8ef26faa69', '52ff08cf915f9890', '177ec27d1a094371', '05f68f205088615a', '582e062f22316429', '128f032a71ccfd3f', '380bc7bb1ed99bd8', '6d21f697d6dab0f2', '449ac2d18080fc7b', 'fa604b72bc666444', '1ce715a178ccb33e']; context = [[40, 74], [23, 66], [52, 96], [47, 91], [29, 77], [22, 61], [17, 58], [5, 37], [6, 53], [63, 97], [15, 56], [2, 47], [67, 108], [76, 116], [2, 36], [4, 47]]; loss = 0.009622 low_pass_filter = 0.300
+Epoch 0: | | 13389/? [2:17:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 13390; scene = ['a34da6e33030e973', 'c0e8cd79f73611d6', '55706f538594e6cd', 'd4e65842508bd432', '8db9ff38e05c3ffa', '598eb9b46185951c', '8a92d4c2c42b4064', '11966948be24366f', '46104808b33c09da', '31cf7e908b0609dc', 'ec2738b1381a1fa9', 'c77464166bea1eab', '444ea4592cbe76e2', 'd779cbdf0de8617f', '7dfd0a5df7c0f4c9', 'f9972d12a428afb8']; context = [[39, 79], [122, 154], [42, 76], [44, 86], [28, 69], [170, 216], [2, 34], [48, 86], [4, 48], [1, 41], [91, 127], [149, 181], [1, 33], [8, 41], [0, 43], [131, 174]]; loss = 0.008072 low_pass_filter = 0.300
+Epoch 0: | | 13399/? [2:17:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 13400; scene = ['8fcf794ba892a383', '593292727003667d', '5c872adf4f12de84', '7fca3ecadedf4e9e', '265dcef75191f694', 'b5b2636b0c5a1504', '9edba56f5a9881b6', 'd72247691e33a958', '2d7a65f89d933d6e', '09afd21650f14407', '8fa11a3bc6119a46', '115d1b9b280160d0', 'a6ca18871e71561d', 'b3b3f7695bb5ca32', '9ebccb7e5490c6fa', '4710f8bab2373cea']; context = [[1, 33], [61, 107], [38, 84], [43, 83], [8, 46], [197, 241], [167, 200], [25, 63], [20, 64], [91, 132], [181, 220], [124, 158], [3, 37], [11, 54], [0, 48], [8, 47]]; loss = 0.009766 low_pass_filter = 0.300
+Epoch 0: | | 13409/? [2:17:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 13410; scene = ['34ecd93b461c01fe', '0641f7c79d7f017d', '0eb418885d5c704f', 'ed98faf79d120ebc', '94f7b5c957bc74fd', '9e40d72fc377071e', 'ecb259c1db50ec9b', '074375474c3e1621', '5b9f289a8e65563f', 'cbbe5299030ed27d', '202890a812df9e8f', 'f00e57d3e757b12e', '04221c6266b4fbb5', '1dc0f9200778b6ff', 'b7e287b139583003', 'b1818f89f71d7ede']; context = [[140, 179], [42, 74], [219, 262], [7, 54], [76, 109], [14, 62], [22, 65], [30, 69], [56, 98], [29, 69], [17, 49], [40, 85], [9, 55], [23, 67], [15, 55], [109, 147]]; loss = 0.008852 low_pass_filter = 0.300
+Epoch 0: | | 13419/? [2:17:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 13420; scene = ['d8e11ca62d6188d3', '65e7cc46a70be3c6', 'c5b27945dc2eabe7', '5644c34d7df02333', '1d5e720fbd1a1938', 'd37f8401dc61d4ac', '17b596f17c9f4c61', '0949fc7fd8edf9e6', '2afa66ba3b843b4e', '6be1fce840607d8a', 'f5ec2d727c316a10', '3d3c2c9af14d56e0', '27727baa0d2bab84', '0684f42098862b74', '778eaeaaffc6107d', '83222e191a9467b0']; context = [[0, 33], [12, 48], [171, 216], [42, 89], [15, 47], [3, 50], [88, 131], [40, 75], [65, 111], [7, 43], [20, 56], [3, 46], [4, 51], [11, 56], [26, 67], [94, 136]]; loss = 0.009814 low_pass_filter = 0.300
+Epoch 0: | | 13429/? [2:17:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 13430; scene = ['04b14af3427991e2', '3d66f70770dd1608', 'b96a5af9eca52dca', 'f529fc8ad3a25e7a', '6b083a9908dfc5b2', '7ecbf7f6564ca9c7', '004bd1e952dc1df8', '2578864dce7ca95e', '00b9a7963f9bd9c6', 'c43a51e3fc102e73', '1c2a8dcc9d0b8893', 'd35e04e60d0199ff', '2bc0c1c27ab45ccc', '7715cbb97d4c5712', '596861bc09c3ab48', '67bbca5ca2b592f3']; context = [[172, 204], [10, 54], [25, 60], [22, 60], [18, 62], [47, 87], [54, 101], [16, 48], [104, 147], [52, 96], [160, 198], [13, 49], [27, 60], [29, 77], [118, 154], [44, 77]]; loss = 0.008598 low_pass_filter = 0.300
+Epoch 0: | | 13439/? [2:17:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 13440; scene = ['fe83cdddf24659c6', '9168f179a84dcc90', '4fb63d42b75f83ec', '999d1dc292628db0', 'ceba0c9064ef2075', '2d5886bd890632c6', '93f0ba6797c67f20', '92ae0064b7c18b99', '9c002649b133ed7d', '9122be71240bb162', '32b6934068c002f8', '27ecc84dfeef35d6', '467c7103dccd9914', 'f249fdd072d2d35d', 'f15bac67b7a07933', '9dce78c1dcd85327']; context = [[25, 62], [23, 55], [5, 39], [66, 114], [24, 65], [131, 168], [4, 44], [68, 107], [64, 103], [141, 173], [47, 83], [19, 58], [10, 56], [37, 83], [4, 43], [198, 233]]; loss = 0.010129 low_pass_filter = 0.300
+Epoch 0: | | 13449/? [2:17:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 13450; scene = ['73c81edabd63774e', 'd4cceef2a88adf32', 'd57b42a6459958d7', '8e99ada24006b593', '3a0a8addc38a79d7', 'd3e7e152d9525908', 'a06884b7875e6cdc', '15b71b3a4c040978', '6dcac4b5bfcc0f4e', '636a31235c706629', '6ad8e4b9ecbdee53', 'd2ae64cc58cd5a62', '7ab75acf4337a003', '3f64560e908646e3', '90f05cebbf4a88a7', 'fff13f7f125a577c']; context = [[7, 40], [1, 37], [52, 97], [47, 95], [59, 102], [11, 49], [11, 54], [67, 100], [11, 58], [101, 139], [217, 254], [14, 49], [39, 82], [2, 44], [6, 38], [13, 49]]; loss = 0.010040 low_pass_filter = 0.300
+Epoch 0: | | 13459/? [2:17:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 13460; scene = ['a180673730e391da', 'd13522abd38eddfe', 'df9ba36fbe753843', '30952e0d21bf56ca', '4b5883872c9b860c', 'baf76f04fa2aad10', '2521e8a729b9a28c', '983fe650a925ec1b', 'a5e4dcdb5acba475', 'd3136cedcdc0fc89', '7f0ef9f7cc5983f8', '4d27fb96530fe02b', 'b07961433f13f70e', 'ca1d592f88d47c36', 'b499ea4b505c7fb0', '09370daa74ea41c5']; context = [[115, 150], [190, 224], [22, 56], [7, 47], [33, 79], [25, 67], [131, 169], [135, 173], [6, 48], [8, 50], [67, 101], [33, 72], [31, 71], [117, 157], [35, 68], [10, 51]]; loss = 0.010335 low_pass_filter = 0.300
+Epoch 0: | | 13469/? [2:17:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 13470; scene = ['8a6f6565aa136bfd', 'b8dc72a859facb4b', 'abe30f78eedbc519', '49328b9c29331060', '98765b730c2dec17', '3700d0ae62ced4af', '9b7a094854896bc8', '564a8cb026ae12e1', '7813fb5636484cd3', '80c0d9e23ff5c4d0', '7ab30ef220195ce1', 'a17c834f307ff467', 'f19a009a27a1276d', '74c22eae5c48a79c', 'b2af46dfc30a2b98', '2c3ae6fba185012b']; context = [[103, 150], [63, 105], [9, 42], [36, 72], [17, 49], [1, 40], [62, 96], [5, 45], [55, 98], [17, 49], [110, 155], [145, 185], [10, 44], [51, 92], [20, 64], [89, 136]]; loss = 0.008408 low_pass_filter = 0.300
+Epoch 0: | | 13479/? [2:17:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 13480; scene = ['b636b7788429dbef', '7ccb61ba49c73caf', 'd659c5f5e31efd70', '140aa546a9c90b5e', '52cd3009ff497d91', 'fb4b8547b815c420', '14cb1caa8f185f3c', '09d8152f20999cdf', '0cb2e4117ded4d8e', '749c8153a4063123', '1f61a254477e0f4c', 'e7344d391585afd6', 'df709a9df3c44a6f', '8cd0d1e0b22eb70d', 'f7de70fa3e0888e4', 'cf53b8a78207a9c2']; context = [[26, 60], [42, 88], [179, 212], [65, 101], [56, 88], [144, 182], [15, 58], [6, 54], [56, 104], [84, 121], [30, 62], [39, 83], [6, 51], [7, 49], [1, 46], [16, 54]]; loss = 0.011068 low_pass_filter = 0.300
+Epoch 0: | | 13489/? [2:18:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 13490; scene = ['4f8f62dc3221760a', 'eb7d94559f933369', '350f8b96fbfe50c3', '9211c25e50b2fed4', 'ed7e2f22e2b5ba01', 'b37b076cb25bdb61', '19ad945443df4b64', 'ff4ac4733ea81002', '34890c370bbc5c04', 'd6bf9d28fb3737c3', '4103295ef55c93b1', 'd8f644b537799c00', '567f873d0287adab', '4aa2c53d2ee5cd97', 'a9b8f780c8ebd244', '9116ebaa351e517c']; context = [[192, 238], [25, 57], [66, 104], [28, 66], [5, 40], [2, 37], [130, 164], [191, 224], [12, 56], [186, 226], [51, 84], [20, 68], [116, 163], [12, 56], [64, 111], [108, 149]]; loss = 0.011468 low_pass_filter = 0.300
+Epoch 0: | | 13499/? [2:18:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 13500; scene = ['6e9bd326e863a7aa', '88cde88863b6ab2b', '25ff552826ae9703', '48ac926ceb75979a', '231cee207e92e4a4', 'cb2c08bfc550f0a9', 'abca2a8b2e786913', '00dd81dcd507fcc6', 'd270d12e230b0781', '7243da98de04021a', '33ed1a8648860661', '75c097dde984d57f', '99b90b759ac6e2c3', '239d12ce68670c55', '51a98d30bb4bf974', '7fc78bf5706dbaf7']; context = [[19, 66], [28, 72], [93, 125], [18, 57], [17, 54], [1, 34], [26, 62], [24, 70], [161, 194], [24, 72], [40, 73], [72, 119], [81, 127], [10, 58], [6, 40], [20, 62]]; loss = 0.011762 low_pass_filter = 0.300
+Epoch 0: | | 13509/? [2:18:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 13510; scene = ['5c5315d2f3abf546', '6043f636981b38cc', '0d83113257921da7', '0a03b3ea2b82844c', '60668562d6c87ea1', '9416a7183ed14f75', '4233126da4add0be', '738fb03744b63801', '9b810567be267835', 'fccf9b4668c4aea5', 'a10eab118e2d8654', '7c710ef6368c4455', '0132c785e29d4afb', '9d4c14c422d92f43', '83e1a42fa8e4b9cb', '8f04ddfa3b4e7c25']; context = [[101, 133], [208, 248], [164, 199], [11, 51], [93, 126], [29, 75], [32, 75], [4, 44], [37, 83], [27, 71], [178, 223], [81, 120], [3, 40], [149, 189], [50, 88], [33, 76]]; loss = 0.010860 low_pass_filter = 0.300
+Epoch 0: | | 13519/? [2:18:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 13520; scene = ['1230e8cc8a954348', 'fdc65f83713e9732', '7717f516bd67937e', '46f21028ead1ebce', '2b474d3143080014', 'a1b92e4df90f8df9', '9e71920e58bf6a02', '23fc08656463d908', '71ab9816948406c2', '205de76eec36ffca', 'c1097d7e3b3eb68e', '361407b739d59707', '590d6f715d8edd9d', '623a5216fb75cc8a', 'aff1a276b88f95c0', '457542e5ba786e75']; context = [[20, 64], [17, 54], [23, 68], [0, 36], [8, 49], [2, 39], [5, 38], [23, 61], [104, 144], [45, 77], [32, 64], [49, 90], [214, 253], [81, 124], [2, 48], [103, 143]]; loss = 0.011953 low_pass_filter = 0.300
+Epoch 0: | | 13529/? [2:18:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 13530; scene = ['8719fa7d74daa634', '8024a13b551c34cc', 'a8a2445b40f0ee30', 'c83fa4955ce845b6', '1c7f6e9252a56933', 'f4e169b7394250b0', 'd297538f14da1f52', 'e6ec55219ebe382e', 'ccd70d500f2e2bc9', '0da1ec5684bb7324', 'a806813b8428527f', '2dd4348bf334f7f7', '209aaf944169c4b6', '39de2c74747ce67a', 'f9d09b2e4cbfdfc0', 'b583f64a01c212f2']; context = [[27, 64], [90, 127], [31, 77], [179, 218], [30, 66], [161, 201], [26, 69], [23, 61], [16, 51], [23, 67], [48, 95], [61, 97], [44, 81], [9, 51], [1, 45], [0, 48]]; loss = 0.010274 low_pass_filter = 0.300
+Epoch 0: | | 13539/? [2:18:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 13540; scene = ['18a4502aa1a59ed5', 'ce8e66277c7f284c', 'b5d76d0407dd07a7', '04079c76c9372181', '06fed398baf81309', 'c76aa64f7f4f0967', '13de5b48f1fd60e3', 'ab28dcbaaddc294c', '4db2b26aa4c4277a', 'f2b680eb41354655', '1daa63069244bb73', '90cf0cb82c8be331', '9d7027346728bebf', '9578552743875926', '22d93069253da40f', '6af0855ea67fca57']; context = [[25, 73], [2, 39], [52, 96], [38, 82], [149, 191], [10, 50], [31, 75], [62, 107], [4, 49], [29, 75], [30, 68], [1, 48], [54, 86], [104, 145], [94, 135], [17, 64]]; loss = 0.011352 low_pass_filter = 0.300
+Epoch 0: | | 13549/? [2:18:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 13550; scene = ['3661f99bb52c6d13', 'cb7b53a4b05f6aba', '4184a1246de779e5', 'db7d9e8a2214ea12', 'b0f18cc31444daf2', '8e6f50914c157483', '779f740981453935', 'a94a86b19490f511', 'e6b17da4f5f8185a', 'dd6fa33f1abd3e79', '3f030393b67f422a', 'e6d3fb45dcf5682f', 'be5fc0ef45cefad8', '23f2830afef538db', '7a8f70ff4a5b546b', 'bb210d97a67bbe25']; context = [[36, 83], [195, 241], [13, 55], [6, 54], [17, 59], [45, 86], [4, 51], [2, 43], [28, 62], [188, 221], [36, 79], [132, 178], [13, 54], [30, 73], [5, 41], [10, 51]]; loss = 0.010949 low_pass_filter = 0.300
+Epoch 0: | | 13559/? [2:18:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 13560; scene = ['53211114a875b55a', '84d69a2e8b30531f', 'aed4f9a3b890e8fc', 'd50d58b66f4b1d6c', '6e09af7c60023293', 'b3c9d4f0a127bd68', 'f566db4b34f0d0e2', '678d371ddb5b47db', 'ea2ce6bbc4dcca10', 'bd8d3f1861372fb8', '4fcb9b17624fcfed', '7ca3afb0c40801b3', '6984b45d6c11667f', '94cdd961dda768d9', '6466dd709ba4f21a', '0160440477263b48']; context = [[14, 53], [101, 134], [78, 120], [2, 41], [4, 40], [16, 59], [6, 52], [18, 63], [110, 151], [14, 61], [87, 125], [32, 68], [48, 82], [52, 89], [71, 118], [221, 265]]; loss = 0.010808 low_pass_filter = 0.300
+Epoch 0: | | 13569/? [2:18:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 13570; scene = ['5b9d84d47b1ea410', '75a8c9852f5cae9b', '38834e0675604b7b', '26894d5903d41150', '3d4ae910ff347e3e', 'bf6673b014c4b426', '96e60aa2260cee08', 'e0e22ca4dce43fea', '09a6aff7b9769dfc', 'c842ce5440a03704', '6b49cec2207fb397', '71e42381b4ef3fdb', '2d39f33562b273b9', '6b5a51c67c4657b9', '737840feb893c837', '849834de564407de']; context = [[27, 62], [117, 157], [31, 78], [58, 96], [24, 56], [0, 47], [41, 78], [32, 74], [0, 41], [205, 238], [120, 159], [16, 63], [96, 143], [14, 55], [197, 241], [65, 97]]; loss = 0.011385 low_pass_filter = 0.300
+Epoch 0: | | 13579/? [2:18:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 13580; scene = ['9d4fc2fa0f094cce', 'e762c9f70e3db83e', 'fffb42151ab2e284', '026b2018d1a368b4', 'dd5cc7120648a275', '50bc6fc9fe828039', 'ae0fe2e4c42b40b4', 'ec281daa9b16da44', 'e55fc688b34e198b', 'ecb34e3502829299', '07db10e08f44575c', '1909a0ae859eadae', '737c0cfa31a65787', '57a1c0730778cddd', '122a42c5df06bb9b', '4f32974a69fcd472']; context = [[34, 79], [2, 35], [30, 64], [78, 111], [0, 48], [16, 52], [166, 209], [27, 61], [2, 40], [146, 180], [21, 57], [24, 59], [31, 67], [62, 100], [38, 73], [141, 174]]; loss = 0.010863 low_pass_filter = 0.300
+Epoch 0: | | 13589/? [2:19:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 13590; scene = ['af4b799f345044ca', 'cfcad25f2356c640', '207111788cb523c5', '3b4d02e2e3dcfe71', '10ad97617138c17c', 'a86d099ad374ec59', '3f5c91c54d97b80f', 'a7a82f76bbceea2a', 'f3e22bd30457802b', '240b8f2b7b0b80e6', '616731b2df2965c9', '3d9d988b47e1a465', '15aae076b5f915de', '71647381f3483fa3', 'ed301ea795ca2156', 'f75167ab4259531e']; context = [[37, 78], [50, 84], [137, 171], [23, 59], [21, 66], [65, 103], [14, 55], [48, 87], [9, 49], [54, 92], [193, 236], [9, 45], [21, 64], [18, 55], [0, 32], [57, 89]]; loss = 0.007909 low_pass_filter = 0.300
+Epoch 0: | | 13599/? [2:19:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 13600; scene = ['1b053fb18db58990', '9a132482447cd6f4', '1937c583529b338e', 'dd5bc6ccfdb3c5f0', '67aefd878839c2c0', '2ce027a92d32284a', '11ac6e3e1ff6f5b3', 'd83bddcbe16272fc', 'd94ea379a583aa70', '8fbc71047643e827', '2074f221af3f9433', '6a01e9eeb577129c', 'a640bb4bd9e593c2', '5e263ba95983770e', '8bc1354abb4655b2', 'cc8550b9fff2f927']; context = [[49, 88], [89, 121], [12, 54], [7, 51], [26, 63], [3, 40], [24, 56], [163, 208], [16, 54], [12, 56], [137, 185], [134, 177], [228, 267], [22, 58], [52, 92], [53, 85]]; loss = 0.011399 low_pass_filter = 0.300
+Epoch 0: | | 13609/? [2:19:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 13610; scene = ['89e82ee21c4dd079', '0e38cc0787ed36fe', '23ce480af575d312', '90d1df38cff37e64', '58a5ea5823c5d499', '61c0ff6624e4d350', 'c134e3f9851881e1', '894fea499dedf307', 'bcb6f212ffe46cab', 'ac22f6e38b10a056', '14df881e0bb56d3e', 'b103dbafd2c119f4', '0be71613432d3b54', '2e6e0433942948fa', '3a6fa2bf8d42d2f6', '37b4ceaa6a5ec27e']; context = [[15, 58], [40, 81], [106, 139], [9, 42], [0, 36], [91, 135], [20, 58], [39, 72], [5, 53], [131, 174], [89, 122], [21, 60], [62, 109], [73, 120], [36, 68], [18, 54]]; loss = 0.008832 low_pass_filter = 0.300
+Epoch 0: | | 13619/? [2:19:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 13620; scene = ['feff41b52966068d', '89ffddd7e0050957', '2f7f7a188ae8bc11', 'd33060884405fb51', '2bfcaee1e8879c93', '09f7865faf90c7b7', '0524b5ded4a3f9cf', '89b7ac85c1dd1efd', 'c81663c0b5144377', '060f48781c23dbc9', '5d0bf881b352e015', 'ac848ee37f1a8b39', 'ceaaf2511b34ff0b', 'c9b40b358bf47223', 'e165257746685417', '847a29ef226fb468']; context = [[47, 80], [12, 57], [28, 70], [99, 142], [126, 172], [26, 62], [24, 66], [2, 41], [114, 160], [88, 126], [75, 123], [3, 36], [182, 227], [112, 151], [172, 211], [74, 121]]; loss = 0.010701 low_pass_filter = 0.300
+Epoch 0: | | 13629/? [2:19:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 13630; scene = ['3c76d8218a2e0039', '557c09819530a811', '8ff7592195f6c8fb', 'a856be05423bf9f5', '6b67868d28e30206', 'ef3f7737f773cc67', '91011e70f2ace193', 'ef7c1abe51c2e16f', 'da6908e20bd2044b', '488750a485d29305', '0e571bee404ebce8', '36c9ae4fa8a4aecd', '5b95b1ce1be1b6f5', '85fe0c9de56c57f0', '70a2e0e9e66a41b8', '5b961a7f052e2962']; context = [[5, 47], [128, 173], [124, 172], [17, 64], [8, 55], [19, 54], [134, 166], [2, 36], [2, 39], [49, 81], [32, 76], [55, 90], [9, 53], [60, 94], [14, 49], [74, 109]]; loss = 0.010676 low_pass_filter = 0.300
+Epoch 0: | | 13639/? [2:19:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 13640; scene = ['0b2938b25e166598', 'b5c4997bc9a4e960', '68696737de9d1b4a', '7e286d8ce39e0992', '81eea64b6f0c1746', '8ec097933a323178', '4aa1f09836169bb7', 'a34e639157e4cb17', 'aa8fe22d38d6e8a9', '5077e3080ca06cba', '320239f721b4f25e', 'fe0e03f65ade938d', '2a33a1cd1a911475', '19fc0a7721a0b0be', '1a6582d593f05e31', '1de1180d284c6758']; context = [[149, 185], [28, 66], [1, 47], [25, 59], [29, 68], [11, 59], [42, 85], [5, 48], [232, 271], [4, 42], [10, 48], [77, 120], [19, 55], [68, 103], [1, 34], [123, 170]]; loss = 0.008186 low_pass_filter = 0.300
+Epoch 0: | | 13649/? [2:19:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 13650; scene = ['ef893c260a432434', '4719fa8b7d595024', '1b24d200b5bca5d7', '149e3da8c38033e4', '0e756ca6320830eb', 'bb5dd6d4b42cfa6a', 'a79a87024638c179', 'b7e36b19a7b16f6c', 'd77956ef6cbdf5fe', '6be29a69562abd4f', 'd1655dc2aa093510', 'a2aa880feaa2168f', 'bf0fa530693a0482', '666c37ba7ac3085d', 'e5d56dd99ff3624a', '8ce50844cac30a9b']; context = [[183, 228], [60, 102], [155, 197], [32, 72], [234, 278], [83, 130], [96, 132], [117, 162], [168, 212], [10, 53], [16, 58], [33, 69], [4, 44], [67, 106], [36, 70], [12, 51]]; loss = 0.009972 low_pass_filter = 0.300
+Epoch 0: | | 13659/? [2:19:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 13660; scene = ['5a5e0ed8658a83a1', 'ee53762a915cc8a4', 'a6c6a9b28efa91ad', 'a060ca0345acefcd', '2e43fa7b2f42b860', 'c1aa18b6fbb10587', '90aa0552b3b1f101', '83cf587eb2ccea4e', 'dd17004fbd4dcc42', 'c219d2148d02d548', '22d6bc367304c934', '7f8dde6252e1ed13', 'fc4456fea1c67e5d', '9b4e9190f50db815', '50d7e64b19747fad', '01272cb3e77d7aa3']; context = [[73, 118], [0, 35], [60, 98], [1, 34], [49, 94], [10, 53], [27, 61], [129, 165], [159, 204], [55, 91], [25, 57], [26, 64], [210, 245], [0, 33], [2, 43], [79, 126]]; loss = 0.012127 low_pass_filter = 0.300
+Epoch 0: | | 13669/? [2:19:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 13670; scene = ['cb6fa53ea702a2af', '76eebb57797f6686', '34cfc00abdcd512a', 'f84e10e8aec82922', '57835f1d5104a129', '140c3d5ef7a7552e', '051226ccfe5e094b', '9dcd75331e841483', '10672316482c3ee7', 'b984c6d3cf0516eb', 'ae38fa5c443113ec', '4e5ec1d83b201b8e', '649dace86011dd52', 'd4ee812a17940de4', '252eeea290153060', 'd7beff4d08f7f7c0']; context = [[37, 76], [5, 37], [6, 40], [142, 177], [76, 118], [46, 83], [21, 59], [151, 188], [65, 99], [86, 132], [91, 131], [24, 59], [14, 49], [0, 32], [63, 102], [38, 86]]; loss = 0.009201 low_pass_filter = 0.300
+Epoch 0: | | 13679/? [2:19:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 13680; scene = ['a59923c39bcb4059', '4b703c596b065029', '108fe5e1f3d10472', '28f01050aa6b7b66', 'c13c2d4b3e68a642', '2ce94288c2c257e4', 'fc288d31eaf6d461', '1c9bb80541c4253f', '01f034d17b3cee6a', 'a7bb9bd60c7fde79', '611da23a8ef358ac', '30fdeea829c306d2', '0b49ce385d8cdadc', 'fd9a558bca043974', '17967e4f66c09b0b', 'a230e0de2c7e6bcb']; context = [[166, 203], [32, 72], [4, 52], [28, 62], [8, 53], [7, 44], [52, 95], [20, 65], [91, 137], [21, 61], [28, 70], [21, 59], [94, 140], [18, 58], [26, 72], [172, 219]]; loss = 0.011338 low_pass_filter = 0.300
+Epoch 0: | | 13689/? [2:20:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 13690; scene = ['0c88aeccaf31b2da', '9089aa377445fe04', '35d318276cbd0673', '8a3d2430245597c3', 'b480cb50d296f7ed', '23b750057d2316de', '2eebe05e2a8fdcb7', '04faa68099e8a807', '996373487155cb87', '49eb946c91d4dd52', 'e5c83a76c5376846', '69c6a41c7e51e560', '59db387883f92945', '8cc980bdc453c7ec', 'dcc9c17c7f2bf955', 'bf0fbe377da9beed']; context = [[13, 46], [0, 32], [163, 198], [8, 45], [47, 85], [60, 108], [9, 45], [35, 83], [19, 65], [81, 114], [157, 195], [14, 51], [48, 92], [11, 45], [71, 118], [34, 75]]; loss = 0.010227 low_pass_filter = 0.300
+Epoch 0: | | 13699/? [2:20:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 13700; scene = ['52745202afb6af69', '1aeb9da62091547c', '8d5e57e2ba2c0ca5', '3ae9fa065ce202ba', 'ffa9716058d530eb', 'ca624f0776c05d9e', 'a5d99c0cc0020b1f', '9d1bf37beb04592f', '84af5a6dc02a4fc5', 'fdf5c68e52d40e62', '96bfdf4e989399f5', '1b92ff53549440e5', '54f4ae9238e5d273', '0a0759a2dff47613', 'd1ebd5d89e694609', 'f0faea75c39058fa']; context = [[3, 44], [12, 44], [24, 66], [72, 112], [31, 66], [158, 198], [12, 50], [0, 34], [14, 58], [1, 37], [29, 65], [22, 64], [49, 85], [147, 184], [173, 220], [21, 68]]; loss = 0.011357 low_pass_filter = 0.300
+Epoch 0: | | 13709/? [2:20:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 13710; scene = ['49fd72b56adf9337', '4748fe2cb767550f', '467ce656f484a23f', '8f00ee0979b9f3eb', '94650809b1bfebe5', '099e1ee28f91b5be', '4e9777ce94f7ff22', 'a0cca65da804c483', '9131db90d0d6a335', 'a060b2c8c0b177f2', 'fbeeb97c2581e94c', '6505b95fda3a6fd1', '849449d8ee0fd8d0', '51558f55181adeda', 'eb8b522706c90abc', 'b991599a27d51aa9']; context = [[32, 75], [177, 215], [0, 34], [45, 85], [97, 142], [98, 135], [11, 43], [0, 35], [175, 218], [13, 49], [166, 200], [66, 114], [22, 70], [71, 110], [20, 54], [24, 64]]; loss = 0.008218 low_pass_filter = 0.300
+Epoch 0: | | 13719/? [2:20:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 13720; scene = ['0646413fb401fa78', '920d92758d18c7d2', '4b51635b37f45826', '624071d33b613e9f', '307041f9efced3fc', '6185ce362d4ae1d6', '88f3511845e51ea4', '19c946cf70978488', '32154a1ff3936808', '7825f451d1959c63', 'a4d9dacfc853d661', '1215fa397423d376', '12dea77c68134296', '57ca642cafff9fa7', 'd1f629da3a816c03', 'f3438f9da04db709']; context = [[1, 46], [52, 93], [71, 107], [18, 59], [35, 79], [19, 64], [16, 56], [68, 100], [2, 41], [81, 124], [3, 35], [117, 150], [1, 43], [40, 83], [103, 145], [33, 69]]; loss = 0.009611 low_pass_filter = 0.300
+Epoch 0: | | 13729/? [2:20:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 13730; scene = ['654a4ef182f4e8ae', '2b787547ea496776', '2c38ebf17747a14e', '7d7bf8fc97c29961', 'dfe3cbe9ca43aea3', 'c9ba8f17c6191867', '45ebdd9175b3ce86', 'a48622051ee5dad1', '9a65de132ab2fff1', 'fc6f8e4478f96b29', 'c21a51e62f022171', 'e57a57f50e6a5438', 'e7cb8f00fca8b54f', '8291ffa5d473ed6b', 'aa85f1d551661c8c', 'e8f40e73fd9848f3']; context = [[49, 83], [65, 97], [67, 99], [160, 200], [123, 162], [68, 114], [16, 53], [29, 77], [2, 44], [22, 69], [34, 77], [62, 110], [40, 84], [193, 230], [63, 97], [119, 165]]; loss = 0.008543 low_pass_filter = 0.300
+Epoch 0: | | 13739/? [2:20:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 13740; scene = ['ddeb25acf3565321', '68374bd8e0215d87', 'd281c87258201ca6', '1ecea537488c80e3', 'a20b0fedac9e0cfb', '5b8f2b2fad8a45bb', '7f8baad045c5ca63', '6338d0d353046ec1', 'bebf0fdfe16b9e85', '1d82e9e8625277ec', '0e3c2218affc73d5', '9385417613453951', '2bda64489943db2d', '3dbb1d21f0d5f6cc', 'b29d52ebccddf773', '56e30b146039a04c']; context = [[61, 109], [44, 84], [5, 48], [7, 46], [32, 79], [35, 69], [35, 79], [20, 64], [29, 76], [2, 42], [87, 127], [146, 191], [2, 37], [203, 251], [15, 48], [168, 215]]; loss = 0.010324 low_pass_filter = 0.300
+Epoch 0: | | 13749/? [2:20:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 13750; scene = ['ab55623e70c28295', 'b212c59dbfaf3297', '3645ae12b7ab98d8', 'f40339f8010836b6', 'e370f28f1e330bae', '7ada4c7de8f71c8d', 'a8a3ac1d2eb6f0ed', '91018ee70f12acfa', '2a90332d6786e56b', 'fb71cf5878ba078b', 'fbead9f20140c938', '27a37fe0dbba2157', '3c44c60aed259d91', '5a042ffa11586731', '720742ec46570641', '760c2ac3301f9830']; context = [[53, 97], [24, 67], [8, 47], [12, 56], [11, 55], [1, 45], [195, 235], [23, 58], [19, 51], [59, 107], [28, 71], [58, 105], [6, 53], [135, 174], [5, 39], [31, 74]]; loss = 0.014315 low_pass_filter = 0.300
+Epoch 0: | | 13759/? [2:20:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 13760; scene = ['0f634e30f9e05aac', 'dc866e41ed3eb0a1', 'e101281055858415', '6b87daae30bdc6f6', '18a141667b659c69', '22dd62c957275918', '3bae1a676986c039', 'acf3b9f82ebc7233', '8b06e196586be88f', '072dda93438fc8d7', 'fb8c1bfad4fa027a', '9f082e98ab8329be', 'b7bbb9cf74792c68', '9b19461a244f4c8f', '2dc367efc8ceca81', 'ca04e3dec73c44e8']; context = [[52, 89], [35, 77], [26, 58], [4, 45], [142, 178], [2, 49], [35, 77], [7, 52], [59, 93], [15, 55], [7, 52], [51, 90], [0, 33], [104, 147], [10, 51], [140, 184]]; loss = 0.010480 low_pass_filter = 0.300
+Epoch 0: | | 13769/? [2:20:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 13770; scene = ['859dc6595c9941d4', 'b729998f5b2508dd', '527ced943063938f', '4656d5cf74356b13', '5de70c8b67a14374', 'afaaf63e5f3665ce', '970bbff7c11ada1f', '10b74a67c337afdf', 'e94cda4761596cc8', '4fdc7647bdcf7c10', '4c9476d93b941055', 'bb32c0051917e6d1', '955653d926205e81', '614a86e4449ccd4e', 'e5843dc7e98db0da', 'e12d5da93d04e783']; context = [[72, 107], [18, 60], [5, 42], [33, 73], [8, 44], [48, 88], [8, 40], [108, 151], [9, 42], [42, 87], [21, 62], [44, 80], [128, 170], [81, 118], [38, 81], [23, 69]]; loss = 0.009497 low_pass_filter = 0.300
+Epoch 0: | | 13779/? [2:20:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 13780; scene = ['3e77b386619f10d5', '6cf84fb3bdb648f9', 'fe7c97bd3da46cf2', 'd7cd6e776cfe1fee', 'cadb093187f1b8f1', '161b017c6512e923', '363f5903b1e09ecc', '062968fae9fe0b5c', 'eead71c22d5913d7', 'd013dfb68f701a1a', '11f8143fed4a7bd0', '4436792afd7385fb', '8e24d300a6d2e767', 'a24365e23632fdec', '2cc2aeefc2ed77d1', '9a7b5d280d58af92']; context = [[46, 89], [19, 61], [94, 131], [177, 221], [45, 91], [9, 49], [37, 78], [26, 67], [59, 103], [20, 62], [110, 151], [8, 51], [54, 89], [51, 96], [125, 158], [1, 37]]; loss = 0.009431 low_pass_filter = 0.300
+Epoch 0: | | 13789/? [2:21:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 13790; scene = ['f344839ca7c971b7', '53e532801bd44085', 'afb339803ef3b8e9', '59a2ea0122aa4591', '030d035ba47fecc3', 'd3dddf816450d1d0', '0788ca0723d59c2a', 'af7f730cb84dc631', '41c2debbaa89e15f', '69fc02421193302a', '30cf94f32f17ce24', '6e9be9d2846269aa', '7399298621aa9bd5', '495b8db932e5b9a5', 'fc7fbf683160c6ac', '63cf8013b255e790']; context = [[6, 40], [31, 71], [66, 112], [82, 123], [105, 150], [58, 101], [64, 108], [20, 61], [15, 54], [25, 65], [86, 128], [17, 53], [97, 142], [12, 57], [26, 63], [5, 49]]; loss = 0.011939 low_pass_filter = 0.300
+Epoch 0: | | 13799/? [2:21:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 13800; scene = ['6c7342092714b3f3', 'd6b7a7a9b3091886', 'f057b6113f2f4e6f', 'f4df65cad56a10b8', 'f833af59fc33c0d1', 'c390ed5cdfce1076', 'c363f4b694a2c012', '35460445a8778406', '5055bcc3bc958a3f', '43c939b11c5fed4a', '09d8a76ab82bd1c8', '867edbda9bb8ef59', '0d094a1d96c9c1e5', 'bcfff341d1aff83d', '11323607c1d04845', '3d59499ef583eb1f']; context = [[4, 36], [81, 116], [24, 68], [102, 150], [18, 50], [1, 48], [166, 198], [209, 249], [181, 221], [6, 52], [23, 65], [3, 41], [19, 61], [17, 55], [12, 46], [96, 129]]; loss = 0.009613 low_pass_filter = 0.300
+Epoch 0: | | 13809/? [2:21:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 13810; scene = ['b3d2c1f427c25de2', 'fdef1b89d037107d', '1b5f1027ea78e6ed', '13fc8c102970a593', '409bccb490f0a094', '4d5fe5ad660cee05', '04ee6d9daa244889', '665c734dedef60ee', '53cf0ccf9f3cd287', '653bb70e9b1ee3c8', 'f953c1d204bd8b12', '1bb131cb68bb3060', '7c70fa6ac7c7e2f0', 'cb0ed625413a2cc6', '41ff70cc3fc8a332', 'd9d387021859984c']; context = [[15, 50], [59, 95], [9, 48], [0, 40], [48, 95], [163, 200], [9, 47], [52, 85], [45, 86], [239, 271], [114, 157], [78, 119], [47, 92], [7, 43], [36, 84], [3, 37]]; loss = 0.008273 low_pass_filter = 0.300
+Epoch 0: | | 13819/? [2:21:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 13820; scene = ['dd766ad08fec83c3', '38313c7ce5d8fc08', '65fd119cae53be01', '1484e9c4187a562d', '79b01e4345584de7', 'b7f47dac8c0ae90b', '645567ee2438a9bf', '7a06eb9ada098378', '3b85815f3e1df080', '070f0f205e58ec62', 'b0137aff0d639a86', 'efc8b93133b0f6f4', '17675b4e73f05823', '9bbdffac7c93063d', 'c82c5705fa8e6a19', 'c9de4d71fde8bf65']; context = [[8, 49], [28, 75], [17, 51], [2, 49], [4, 39], [47, 84], [173, 218], [152, 186], [6, 40], [29, 70], [4, 41], [18, 55], [3, 39], [60, 106], [51, 89], [37, 84]]; loss = 0.009795 low_pass_filter = 0.300
+Epoch 0: | | 13829/? [2:21:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 13830; scene = ['6fceeb6dbfb1d42d', '6ee2c9a1e111922e', '8673faf0a9d48165', '4c4fb804144e8cc0', '5e00fe8ddb44c346', 'f5a173954e586775', 'feeef6e1343ba933', '8c511adfe1edf981', 'e246fc179798ef43', '8acbada3de9d0256', '1caeaf11a6686a6c', 'ae468714e3fa31b3', '6d5b5729fd856041', '7157599e110e23d1', '348f41557b28f27c', '0e41e1856a93f081']; context = [[110, 155], [9, 48], [58, 96], [5, 47], [24, 63], [76, 109], [5, 41], [8, 40], [61, 98], [215, 255], [52, 93], [57, 104], [34, 73], [54, 87], [73, 111], [37, 83]]; loss = 0.009655 low_pass_filter = 0.300
+Epoch 0: | | 13839/? [2:21:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 13840; scene = ['d5c8690ebede654c', '3a06c662b556f35d', '94eaa93e8ebd8db0', '6f734cb7648a8dc0', '68f5a9c218ae58de', '2ab59b3cd18cf2a6', 'c1b5b7779a98027d', 'd4f9b7f5a436bc5e', '5c140178a8c1b76e', 'bf48f07f09565e35', '864d89232a34ffcd', '1042daa8f8fd2955', '9adc772b1760c9fd', '658d5216501736d5', '39e8cbb0f678f5e3', '7fe66601858b37dd']; context = [[35, 75], [61, 100], [25, 63], [147, 194], [151, 187], [5, 41], [56, 95], [62, 109], [50, 95], [169, 215], [42, 88], [29, 77], [131, 167], [13, 51], [40, 75], [24, 65]]; loss = 0.009921 low_pass_filter = 0.300
+Epoch 0: | | 13849/? [2:21:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 13850; scene = ['84c7bdecb993937c', 'e27642d0ef81a789', 'd58a710d12ee6de5', 'd6e2f78135cb95fb', '594beff70d7255b2', '6dbe13333141d1d5', '294fee707e8d9822', 'f5d3ce7be7de1784', 'ddd8a47a4b3463cb', '6823afb6048d0ba0', 'd151c2c583596f65', '88cd2f72bb3cd574', '96153d298af583cc', '9b9592b7760d78b8', '141516040a08b640', 'b3859fc1eb5d926a']; context = [[28, 63], [7, 40], [82, 122], [10, 53], [32, 80], [1, 47], [170, 214], [142, 176], [23, 66], [6, 48], [9, 54], [28, 61], [49, 90], [72, 120], [152, 196], [63, 107]]; loss = 0.010751 low_pass_filter = 0.300
+Epoch 0: | | 13859/? [2:21:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 13860; scene = ['bd06c66243805d2f', 'cf888eee79e98e59', '8421d1b832751b06', 'e83742a3e43bd126', '1c06aea20d266433', 'd3277a590af7e77b', '62d9c30b7009ade6', '20ad4007f8dc89fb', 'e7cdb81f2a2e7f18', '6f888dc88047ac00', '7d675692ce253ae5', '162c744bcf4469e4', '5c9c06be50b78c13', '04dabeccd47224d5', '006f41ee9800fecf', '44d2f5ae8a130e73']; context = [[16, 48], [52, 87], [31, 70], [43, 85], [93, 126], [43, 75], [90, 123], [9, 49], [90, 125], [31, 72], [45, 83], [25, 69], [6, 54], [14, 48], [17, 49], [78, 116]]; loss = 0.009040 low_pass_filter = 0.300
+Epoch 0: | | 13869/? [2:21:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 13870; scene = ['56ffb64f1ac704c8', 'edb02105a535094e', '53b2d43b7f2a6077', 'de60b52ac3e7875c', '4a13cfcfbfbf8887', '527eac78ac3e3012', '4e70f8c8d569f01b', 'd1543ce8abd3294c', '068d85c0b47f4628', '700759139479b40f', 'f1cfb383e8ffe58d', '9e591049019c2996', '3389d95fe43c8e5e', 'b0acc39faf78464a', 'c21970a30701dfd5', 'd9069c7fde700fae']; context = [[194, 240], [82, 126], [185, 225], [66, 103], [8, 51], [50, 86], [116, 162], [61, 104], [24, 70], [96, 139], [17, 52], [18, 54], [14, 59], [0, 48], [16, 48], [26, 74]]; loss = 0.009272 low_pass_filter = 0.300
+Epoch 0: | | 13879/? [2:21:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 13880; scene = ['9a281760e4332d8a', 'f1afbf6f673bac06', 'af339c9b95c07920', '3f5020e5dc8240bd', '6b22c6f4e8d8e300', '7fc6a4aef5aafaa7', '754711913b00c193', '23c7b3f8eb89fc63', '35f4dafa34f48b8c', '7a5fc640b57dbdf1', '56364f463c09b793', 'b3c3cf7f3a66f3d4', 'df78723619969e5f', 'bf9d82851f3b3cb7', '170ba14a3cafd160', '18c3f352c7d6dc92']; context = [[22, 59], [0, 36], [152, 193], [27, 71], [126, 174], [76, 124], [25, 64], [23, 69], [15, 61], [73, 113], [53, 96], [122, 155], [1, 42], [12, 57], [20, 66], [84, 117]]; loss = 0.012789 low_pass_filter = 0.300
+Epoch 0: | | 13889/? [2:22:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 13890; scene = ['a9909b47ff5dd70a', 'd9314cc976dfa779', '49bf7713961a7248', 'c385bb313dbdd58e', '0ab530d9a633759b', '6eaf25e955229c09', '1d83764e77e159d8', 'c39f1a9a73797efe', '6b0d274033a5e77b', '00a9f110ad222aa4', 'aa62a6ac70b80789', '7713ce831ffa7df9', 'a28f806c4f91b310', '1c32325abe22ac6f', 'c7329bdb7df9f49e', '28d2f24cc7e2fccb']; context = [[11, 50], [35, 70], [73, 108], [13, 53], [35, 75], [4, 36], [31, 65], [11, 51], [60, 98], [55, 89], [8, 52], [32, 66], [68, 107], [78, 125], [7, 52], [11, 45]]; loss = 0.014834 low_pass_filter = 0.300
+Epoch 0: | | 13899/? [2:22:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 13900; scene = ['8d1277d3bb07035e', '2cf0df5ede50bd1d', 'c472a0ece0937100', 'bedb0dffc6d80b4e', '1f4ff72d26fbd071', '62aee613a1a82b79', '12d54b02fe9d16e1', '568246aa43b60985', 'f896f057f530ebce', 'c2e363674f808d28', '15bdffd46ed3c134', 'd3b0bdaf452577d0', 'f77a260233eb16ba', '6bb7559f2431738e', '33e9961fed513e93', '95479ca25e2d955a']; context = [[126, 163], [41, 80], [3, 47], [33, 70], [102, 150], [66, 110], [44, 85], [26, 75], [77, 123], [20, 66], [13, 60], [86, 125], [6, 41], [2, 35], [119, 157], [7, 53]]; loss = 0.011140 low_pass_filter = 0.300
+Epoch 0: | | 13909/? [2:22:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 13910; scene = ['f07a8be5e54b332a', '55d8b80f7cc186ab', 'bc8eb67c9d7fb4f1', '36853991baf0f696', 'dc988e289b069887', '36c6ba1b40a771c7', '1624633f39dffe7b', '99c819b8b500ab78', '304ce12451fb8819', 'f50f52c1c90097f6', '102ac7b6c3347d91', '6256e7117abcbb67', '3c6ba750a6cb5a32', 'df210f03ca47c5d6', '207458446fc799cc', '0fa6f64334a3de81']; context = [[2, 37], [24, 72], [47, 83], [158, 205], [44, 85], [16, 51], [0, 35], [16, 50], [99, 134], [2, 51], [140, 182], [21, 56], [20, 53], [37, 74], [100, 135], [15, 47]]; loss = 0.008754 low_pass_filter = 0.300
+Epoch 0: | | 13919/? [2:22:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 13920; scene = ['04e7f97215df7078', 'eb91b53e213504b8', 'c690f7b93b2b75c5', 'ab2702d087f34a0b', 'aae6ab41f8da47ef', '23c1dc4217afa596', '3099db1bcfd60a5f', '6854feb86203e9bf', 'a5e4dcdb5acba475', '4b5883872c9b860c', 'd13522abd38eddfe', 'd3136cedcdc0fc89', '983fe650a925ec1b', 'df9ba36fbe753843', '2521e8a729b9a28c', '4d27fb96530fe02b']; context = [[9, 45], [15, 50], [108, 140], [46, 84], [0, 44], [23, 61], [78, 115], [92, 139], [10, 43], [35, 79], [1, 39], [5, 47], [61, 107], [22, 70], [34, 76], [40, 72]]; loss = 0.009235 low_pass_filter = 0.300
+Epoch 0: | | 13929/? [2:22:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 13930; scene = ['c31c79f118bf1526', '8b059787c5dff034', 'deed1be47150b1f9', '60680008495d87a1', '4aa10f2a675ba1fc', 'd80f75c505582b17', 'a8e31e388f09de2a', '20eea6e0a91b2cd5', '76621f74252ed3cf', 'ae12457eb84c3109', 'b212a26fcbd831b1', '09084445f13c2ecd', '1e4b301e3edb5c73', '75a94c46c20c6c93', '15cdc58fd7076c73', '8df6a8f9f01e468c']; context = [[15, 63], [7, 51], [42, 82], [147, 189], [33, 73], [2, 44], [0, 48], [79, 125], [83, 127], [56, 90], [0, 35], [38, 74], [8, 49], [38, 84], [29, 73], [6, 43]]; loss = 0.010137 low_pass_filter = 0.300
+Epoch 0: | | 13939/? [2:22:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 13940; scene = ['fa3c714f9feb0ca1', 'd99eaa0cc001ecca', '32853e04e84e9242', 'fdc8b395582432f3', 'b4297c92de82ba23', '6d26732ef60b81a3', '55500b9b8aa934a1', 'dbbc84703e42d174', 'a9a85280b420694a', '7a7bcb2dfd3f9ba0', 'e1730179fd86e4c0', '5eba0adf88b41a12', 'af342e32f4c696a7', '844f5ac80c18d101', '97c5606fdea6e732', '2765f5d2bd45f599']; context = [[56, 93], [149, 187], [19, 55], [13, 55], [33, 68], [59, 106], [78, 121], [9, 47], [43, 78], [100, 142], [15, 59], [113, 157], [8, 50], [0, 39], [6, 53], [11, 58]]; loss = 0.011629 low_pass_filter = 0.300
+Epoch 0: | | 13949/? [2:22:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 13950; scene = ['4be7b2dbfbb85134', '069c4f8d7a3225b4', 'bd834d7c62374c59', '4239b3c0bca9c8dc', '5d3751961c92953c', '63ea3195b2c0c4ba', '2ac05e9d999a0606', 'f6b4c51274377db3', '6daa1ca4f0955baa', 'f1a7d46e25785471', '69a6e3951e138ca8', '9e70ce8046bae357', '781189313a86b8da', '4c80bb26bc9a9842', '30d0ff523ab86200', '75fc9c01915d3371']; context = [[126, 172], [17, 58], [10, 59], [11, 48], [46, 94], [56, 100], [120, 154], [32, 79], [1, 50], [83, 129], [39, 71], [42, 81], [190, 229], [81, 114], [110, 142], [148, 184]]; loss = 0.011944 low_pass_filter = 0.300
+Epoch 0: | | 13959/? [2:22:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 13960; scene = ['00ab0ac739885029', '5fd7d07c2248dac4', '195e52b808cc5f7b', '01d70424679d81b4', '80c56b76ba0f1594', '46a6f7a7a496e0c0', 'dedbccf1aa181b02', 'c377c3e9c9d3a658', '7264da2e5617c4da', '3fe81e368cf1011e', 'e9797b1d62c1bdc2', 'b8062aaa7a76eff2', '75299e01a10d0b2d', '49362275159e338b', 'e8f6e95b1ed22c4c', '3c23951861654d1e']; context = [[15, 56], [0, 32], [27, 73], [11, 51], [19, 53], [33, 76], [72, 119], [20, 66], [39, 74], [5, 45], [129, 173], [11, 52], [111, 159], [136, 172], [215, 261], [18, 54]]; loss = 0.008481 low_pass_filter = 0.300
+Epoch 0: | | 13969/? [2:22:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 13970; scene = ['699bc7dbd0bcdaec', 'f0bda6f91712fd5a', 'ad2bddef36995b31', '646a74f178afb3a6', '071eb67ff13bf80d', 'df74597c3957bd8c', '16c47f696bf6293c', '1c71ba8b64ef1410', '0d89dfd83ed81e71', 'f84e36c0bc4eaf18', '74b37d0f4d16f872', 'e5a9f9a576763b76', '83de8bf91d2069d5', 'b58e1b0c8b1c24f6', '4115171963f2be75', 'a385440bff1c331e']; context = [[7, 50], [230, 265], [50, 85], [17, 64], [89, 127], [36, 80], [223, 268], [100, 133], [100, 137], [9, 58], [30, 76], [15, 49], [17, 49], [16, 59], [15, 64], [8, 54]]; loss = 0.009143 low_pass_filter = 0.300
+Epoch 0: | | 13979/? [2:22:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 13980; scene = ['47bfcaecbdf0a8ed', 'de2eea66c91ef9e5', '357b0a1d803c82ff', '7a4239da3cb26acd', 'af272bfa02b080e8', 'efb539db983ef4b7', '08c3520589a45dff', '124032ee98cb36a2', '279f168a03bf8e5e', '2ec139b2624efd60', '20c3a99f33ff0958', '3b4d3b652525f84d', '6c22c1f20601e2d3', '4c2189cef8afc008', '13b739351d44ebc1', 'ba90ec347bc52286']; context = [[18, 61], [116, 160], [43, 88], [13, 62], [92, 137], [40, 87], [46, 84], [224, 273], [160, 194], [1, 34], [9, 54], [128, 164], [25, 72], [6, 41], [19, 53], [15, 64]]; loss = 0.010396 low_pass_filter = 0.300
+Epoch 0: | | 13989/? [2:23:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 13990; scene = ['a0e4abe253996ea2', '9abf680c0ea74b98', '71f80e4a8d79031c', 'ec89cb249053a4e8', 'bec452193584d1a3', '1f94351ad6a1338b', 'd5074acf0e20994f', '92f5432cf00fa4b6', 'b12fc4e65b54767e', '2a95182b4cbd572c', 'd7ebd02f7393cb5d', '641b0fd980f31a43', 'a98e531a5476b090', 'a098120648ef79b9', '86e7448e46eafff9', '01d7bb5fec91c594']; context = [[31, 72], [116, 159], [1, 37], [39, 87], [6, 51], [15, 50], [13, 53], [84, 124], [30, 65], [1, 34], [215, 249], [67, 100], [41, 80], [80, 128], [18, 51], [49, 90]]; loss = 0.009310 low_pass_filter = 0.300
+Epoch 0: | | 13999/? [2:23:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 14000; scene = ['627b0865de219721', 'e834fab2208f1db4', 'f287b42b0894a220', 'bdf3783c8da8d447', '077bfdb2a9b08b5b', '7511aee8902bccd1', '191836b21424305c', 'fd8f13ec5e0af26f', '3190ffc912868c70', '20ccfe317b497829', 'b955173d519e9fa5', '84bc0c3aee58171b', '8b1ff63cc4865447', 'a5ba0427831f1af5', '29bed4cfc0bd622d', 'dd2e4bd9af9c8fc7']; context = [[1, 40], [32, 73], [8, 57], [78, 111], [1, 37], [40, 80], [14, 52], [11, 52], [41, 86], [43, 86], [12, 44], [18, 63], [28, 61], [130, 166], [0, 33], [12, 57]]; loss = 0.011108 low_pass_filter = 0.300
+Epoch 0: | | 14000/? [2:23:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0validation step 14000; scene = ['395f5ae56e94e344']; context = [[9, 58]]
+Epoch 0: | | 14009/? [2:23:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 14010; scene = ['9cbe071e966cc8b5', 'e151d6aa396bfd1a', '5c4e65ef43430b11', '62b96c0759cafb76', '24fdad2594ac7d96', '2c59a0d732f7a328', 'c5dbe4079d2fca26', '4c5184069a65f0b5', 'c538e33226d65989', '8bc85fdaaf8e8473', '80fcb13c8b18ee23', '9c81979412763fc5', 'c2b5ea21776f36d1', '838294ac1983543d', '2519040c459aac63', '28ea6096b062a3c4']; context = [[154, 189], [14, 56], [150, 187], [9, 50], [38, 82], [8, 55], [42, 76], [10, 48], [27, 60], [43, 76], [21, 69], [55, 104], [92, 138], [16, 56], [37, 72], [65, 105]]; loss = 0.010996 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 14019/? [2:23:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 14020; scene = ['88c6dd400bd1a841', 'a8964dbe9bd1945e', '794d1ad842fcfa28', 'a34d97a9bdae3aa1', '94a5f9c34755c629', '1ea3205d7fb87f3e', 'fd19a3e4b1433dfe', '33713bd6ed0d6848', '5832b4ee7ad1000c', '47569a0a8b03cf52', 'b1a53b2f0ca30ce5', '107d979e758b8ec6', '50ee87260cc88f0e', '7f50766e4ef0d24a', '4183dff8cb12644d', '0bc8cc9ea82a89cc']; context = [[5, 42], [102, 151], [60, 93], [54, 97], [27, 67], [166, 205], [4, 52], [91, 123], [94, 137], [36, 76], [23, 72], [32, 75], [26, 61], [21, 53], [0, 40], [73, 121]]; loss = 0.012916 low_pass_filter = 0.300
+Epoch 0: | | 14029/? [2:23:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 14030; scene = ['0c2ce688132e3ccc', '550898fbe362b272', 'f9ecef329d8da290', '88442d4eae4203fd', 'f5bb0f2ae562dd42', 'e43f122db47a227c', 'c5b7258e5a3d9896', '047b29485a1bbf20', 'e897826c02fc4e95', '949a7f0d7878749b', '4c32929b9bde96fd', '6b93addf4ef63def', '02dbed97d4546d8c', 'fd1262efb99b8fa0', '56ccd6611d066f1e', '51a7fe49c2d5bcf4']; context = [[30, 71], [56, 90], [21, 69], [2, 47], [0, 32], [15, 52], [112, 159], [11, 47], [41, 86], [17, 62], [10, 56], [48, 92], [60, 95], [207, 240], [98, 133], [44, 89]]; loss = 0.015358 low_pass_filter = 0.300
+Epoch 0: | | 14039/? [2:23:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 14040; scene = ['e1213b82a155e7b8', '61fde5ff3ba1a75a', '0a01275bf1cc1246', '040b6137d21c580b', 'f1cf958f0ba8dd63', '02c96bc459a5f9ba', 'f7a49680ebfc586b', '52fc7c5cf52e9927', '85aeab205d5c7e66', 'eefb1b0935312711', 'bb0e27ec75bf779f', 'd21b4712102f9305', '664f022c412506b3', '6e8010eb6c8a9ec3', 'b7ee16db7f015691', 'a02b07e50615b1c7']; context = [[1, 40], [29, 75], [0, 34], [29, 71], [16, 50], [76, 118], [38, 78], [45, 84], [127, 170], [18, 56], [6, 41], [79, 127], [142, 184], [34, 82], [116, 164], [78, 119]]; loss = 0.011122 low_pass_filter = 0.300
+Epoch 0: | | 14049/? [2:23:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 14050; scene = ['17ac30279e61913c', 'f577eebf982cce4b', '0160565c91c8654b', '2107f0bc2f004d1e', 'dee4ac1cafc21a46', '2f311b2bbbeb5940', '692a87e2b7ebc8be', '0779daaad5fd0ef7', '76ad9054e25f6e8b', '1af9d0a563d8fc8a', '338a1e8f27cd7f45', 'd698675238c917e5', 'e0a3c0023e6ad8f8', '35989b45a058ee3e', '0a8af1c0c2360992', '534e2a52aa6a57ea']; context = [[67, 108], [1, 49], [11, 55], [28, 63], [99, 143], [27, 71], [61, 94], [56, 98], [4, 45], [29, 69], [87, 129], [10, 56], [28, 71], [69, 110], [19, 56], [110, 156]]; loss = 0.012207 low_pass_filter = 0.300
+Epoch 0: | | 14059/? [2:23:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 14060; scene = ['b7561d6204cf1b15', 'a23068005a12f147', 'a1706e8f70f3de49', 'd3a7bfe5c137ad23', '2dd48e36c6684455', '512aa006965cd63d', 'b900922107e83b97', '61d115f15bafd71c', '30a0abf380fe788d', 'bc32d5727a11f667', '34a16dba4e2fb9e4', '5f76a5e593ffa271', '5b2faad8a00a31bf', 'db1981bc4f1ce19e', 'e0585142f1602430', '9f55a331f0e02fcd']; context = [[8, 57], [23, 65], [4, 44], [23, 55], [222, 269], [1, 48], [62, 102], [14, 53], [31, 69], [1, 41], [196, 245], [19, 51], [12, 60], [30, 75], [0, 35], [14, 47]]; loss = 0.009193 low_pass_filter = 0.300
+Epoch 0: | | 14069/? [2:23:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 14070; scene = ['ee792446c602a13f', '91d9582339065651', '3120f0ecd82a015e', '0b78a91de3da107d', '7c2c4da050255c1d', '2c9ced3cde2db8ad', '3a95efa051965ee0', '68c86d2d09836cd4', 'db61533e680f5d74', 'b06d428a88f3caf5', '27508406fddac6dd', '85660aac96ec7778', '9315f7d23405549f', '1ac92f4574d64997', '437188c182ae6a10', '9f210154fdb005d6']; context = [[175, 213], [57, 96], [36, 84], [6, 55], [90, 128], [57, 93], [13, 50], [32, 71], [8, 47], [68, 109], [33, 79], [3, 44], [115, 158], [0, 34], [71, 105], [4, 44]]; loss = 0.011076 low_pass_filter = 0.300
+Epoch 0: | | 14079/? [2:23:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 14080; scene = ['672ceef1477a4ee1', 'f83af37ad99c1655', 'd951d136123e72ca', 'a6ff3463269a8294', '4cb3a3bc72da5752', '87a267d2cfa6ef7f', '3428dfbb69ba1c94', 'a2fad117cd0b7b48', 'cb2b652cd7ff57e0', '79beea9672385e70', 'bcaf2ffd6f7195ff', '681de2df4fcb3ddc', '92d48535714e3403', '1d3ae192a6390463', 'ae12457eb84c3109', '20eea6e0a91b2cd5']; context = [[15, 54], [11, 51], [63, 99], [18, 62], [32, 75], [16, 59], [1, 37], [58, 98], [51, 99], [30, 64], [48, 91], [33, 66], [21, 69], [67, 104], [28, 68], [9, 55]]; loss = 0.011552 low_pass_filter = 0.300
+Epoch 0: | | 14089/? [2:24:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 14090; scene = ['f87609d5183676b7', 'a050deb6d503757a', 'c6445c21aad2bcf1', '90f08800a0e95efa', 'cb98996ab8535352', '019e568229df12f8', 'c33d3fe1c7595c4f', '3c0c0cd1458685c1', 'f080fc0367d961b7', '0e38541cd280d9bf', 'da33c1aed3690b98', 'c1ac84811272c1cc', '967e7ddd3837be0d', 'd1d08131c767a91c', '1c5000d78c083775', 'a21c63b3845a0104']; context = [[19, 62], [138, 178], [34, 81], [34, 77], [156, 199], [89, 130], [0, 39], [73, 113], [31, 80], [34, 82], [42, 87], [0, 45], [19, 59], [49, 86], [2, 50], [84, 117]]; loss = 0.008410 low_pass_filter = 0.300
+Epoch 0: | | 14099/? [2:24:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 14100; scene = ['f64446deef2dbd58', 'b5237e6b6780cd09', '71791474009b1187', 'b70ca8062dec1f7c', '5a32c690eedfa60e', '3978af43a7ea01e3', '882efbeb56fce689', '2fe3d2aaf6006108', '52f3bb3cf1f36bf9', '8dbc54ca1f13e7e6', 'cdfc0049ab8824ca', '40c6f5e7838c0674', 'ad766f968b9edef5', '45656906ceb6f2c6', '6da199c6a71373ac', '536b0a79a61e848d']; context = [[162, 210], [34, 75], [82, 125], [42, 87], [63, 103], [79, 127], [11, 49], [33, 77], [19, 56], [0, 48], [72, 116], [153, 186], [62, 107], [92, 139], [187, 231], [5, 42]]; loss = 0.012790 low_pass_filter = 0.300
+Epoch 0: | | 14109/? [2:24:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 14110; scene = ['ba9e1b7dfc1bf5f0', '8442736e7c61cbf4', '4be26e4b5bb4ede1', '0a4e5e726c134159', 'deb016737e2a83ce', '96e4a25757e451fb', 'ad65905845be5ea6', '15489fef442e5c6f', '6acddf780155a0ed', '525c642c5a79c4ee', '879313d352b43a95', 'c05818414f7e530b', '319fb20c1a5fe820', '0fd0ead3c363584e', '54d0782c7dcdfe61', '78b54fa5b5742181']; context = [[1, 40], [0, 43], [51, 98], [48, 91], [31, 64], [9, 42], [29, 68], [68, 110], [6, 43], [128, 177], [10, 53], [54, 102], [215, 254], [56, 99], [35, 74], [83, 127]]; loss = 0.012123 low_pass_filter = 0.300
+Epoch 0: | | 14119/? [2:24:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 14120; scene = ['4e50c1473d01094b', '806a555f5662a925', '3bf0eb7a3be0db0b', 'ef71162fc458a834', 'dbd17f73c27256d0', '0f34ce3de82dd553', 'aad2f8506adbabbd', '0764fc7d1ac310a4', 'fa957196fd3f3d44', 'f2a40abf0e21787d', '33467eeac0c07e61', 'b57b3bae192d05e1', '73defeeacbffa502', '38a709b9a18034bf', 'd6c447047a35a41e', '89cd0268f557d0f6']; context = [[70, 112], [16, 50], [7, 41], [9, 54], [15, 64], [17, 62], [73, 105], [67, 110], [6, 52], [87, 124], [176, 212], [18, 55], [43, 79], [6, 40], [6, 52], [96, 142]]; loss = 0.010030 low_pass_filter = 0.300
+Epoch 0: | | 14129/? [2:24:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 14130; scene = ['66c2ba1c23baf867', '2b2e41a1dc4b35ca', '64287c467f9c455b', '5da0339960419957', '969fa5306305187d', '02031ea8770f3ef7', '8a2acc2f183dcfb5', 'a7c3a68b9b25a47b', '98cb259cd905b8ac', 'c93ec0822f6593cd', '94225e407e4244c1', '8fed5b10f8dcf9ea', 'f58b10fef6de3ccd', 'cd61a8d26b82f9c6', '30a4c264291caa0c', '7e8e4fc21d873b5f']; context = [[17, 63], [21, 53], [77, 119], [49, 85], [10, 48], [52, 91], [13, 48], [18, 64], [36, 75], [31, 71], [188, 223], [8, 53], [27, 76], [27, 69], [14, 61], [0, 38]]; loss = 0.010053 low_pass_filter = 0.300
+Epoch 0: | | 14139/? [2:24:33<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 14140; scene = ['f6db5e624a9711cd', '3b36165785da926a', 'f656b9d676afee7c', 'e41ab9017ab47823', '282938f90821bdef', 'e7e10c457efb38ed', '37c36f444d6ac350', 'cd6fdd63dcab9099', '61817f6504d1a6c3', '662f42f773e37e26', 'd10eef0641b38981', '7fcf55ab7cf89f1c', 'f7926eb1096de201', '802c190b93463c2f', '04c82b5a0f572349', 'c188823c672d9554']; context = [[20, 66], [75, 112], [110, 149], [64, 100], [15, 47], [0, 40], [70, 118], [33, 81], [58, 102], [51, 88], [47, 94], [6, 52], [50, 92], [33, 82], [129, 165], [44, 84]]; loss = 0.012178 low_pass_filter = 0.300
+Epoch 0: | | 14149/? [2:24:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 14150; scene = ['3e77b386619f10d5', 'fd3cb3bc610ad406', '161b017c6512e923', 'ce76bb8cd4b3a729', '4c8d86a39bb877a1', 'cadb093187f1b8f1', '062968fae9fe0b5c', 'c60a9aac7b3079ab', '6cf84fb3bdb648f9', 'd7cd6e776cfe1fee', 'fe7c97bd3da46cf2', '363f5903b1e09ecc', '5e12f5864963b028', 'c83d1fa5fd934c97', 'ee655ce538e2779a', '118c3c91d5820b5f']; context = [[40, 84], [20, 60], [57, 91], [2, 48], [37, 86], [54, 87], [18, 53], [0, 49], [43, 89], [127, 166], [28, 61], [43, 83], [102, 147], [28, 70], [21, 64], [2, 50]]; loss = 0.011233 low_pass_filter = 0.300
+Epoch 0: | | 14159/? [2:24:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 14160; scene = ['7179e676c405b176', '03b39900285e978d', '2064cdc994318d4e', '2cae9627f30c2c23', '5f2f43c51cd498f1', '29ca12a090c5d6da', 'c13f2d587ae31554', '17f9beb10ab4ba3e', 'd50d7233845eaffb', '2be0a2db028836f9', '2fe3aa52ae31c484', '9d8ed76c73f32e8e', 'd9ba46350c5afe5f', '4634e127286f20c8', '350a508a31e0b121', '2144f1fd5b00dc66']; context = [[0, 32], [58, 90], [27, 68], [23, 70], [67, 99], [32, 80], [10, 45], [52, 98], [88, 123], [28, 74], [67, 113], [1, 37], [44, 92], [21, 59], [151, 199], [31, 74]]; loss = 0.008093 low_pass_filter = 0.300
+Epoch 0: | | 14169/? [2:24:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 14170; scene = ['4655174b7eb8e338', 'eac9cdfc69a9cf56', '1192d55979f272a3', 'cae97ecedd01b9e3', 'bacd58154e400234', '9890ffb19a34f7e5', 'fb5a80a778281287', '48250b1284a72f1c', '4381e4d03da3a2dd', '632ba2d80346eea2', '7b56c6bfe56e39ca', '7d546a90fbf298a4', '0d4a932971029aaa', '566c303cfa6a0077', '85afb31e233b00c4', 'cdc6b6e9d8d362ad']; context = [[28, 61], [208, 255], [5, 40], [16, 49], [237, 271], [19, 56], [64, 100], [15, 50], [42, 77], [54, 95], [22, 59], [5, 39], [0, 36], [17, 62], [1, 50], [123, 160]]; loss = 0.009531 low_pass_filter = 0.300
+Epoch 0: | | 14179/? [2:24:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 14180; scene = ['b733def1f2d6f475', '33cce4b353540cb4', '0223c85e8003b7e1', 'ad7c648e328fad19', 'e5ffa80180a77906', 'a2a6afe0218b9dd4', '046d75590f2a2769', '202a0b47ba9ae6e7', '61a4f86c2f74d224', '45de740754866f93', '63c9e875a467197f', '5f6230d18c679782', 'fe55cd1565d9cb79', '9ceab0f597c2a4d9', 'f6cfc1a7085f3ad6', 'afb74b4aa8e93a22']; context = [[59, 106], [92, 129], [50, 94], [31, 64], [0, 33], [12, 48], [53, 102], [90, 136], [75, 109], [145, 183], [30, 67], [27, 68], [29, 71], [35, 78], [46, 93], [0, 36]]; loss = 0.011106 low_pass_filter = 0.300
+Epoch 0: | | 14189/? [2:25:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 14190; scene = ['1f2c37aec9ad5c43', '9789c9bca500f60d', '157b0fbe05d0d789', '3582b54a8e7095ed', 'b72b05be77fb6594', 'b9c4217d3432b245', 'e13c44ba12302891', '31f36e0248411ff3', '35bfad0493df3456', '047d14a0b379dd2b', '97f997d61d7e6fc7', 'ce2ecb9831a1ad69', '8f8405a3407168ff', '6b88615a41b8d241', 'f8eb2eb62f9a5d3d', 'b534d0f0aeda56df']; context = [[84, 129], [32, 65], [91, 123], [7, 53], [26, 62], [37, 70], [69, 117], [57, 105], [2, 41], [18, 58], [23, 63], [11, 47], [150, 197], [12, 57], [59, 95], [213, 262]]; loss = 0.010418 low_pass_filter = 0.300
+Epoch 0: | | 14199/? [2:25:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.0train step 14200; scene = ['0279db3a13466f16', '5c5f3cb0a49b72ce', '12f1a55c604c66b0', '49a7ca8ab07f5959', '863cd9e3c3374c17', '0356f20494f9dc73', '5d078b0df0aba401', '753ad3e1d6a005bc', 'c34a80c8baee9a1b', 'dfbdc15546c94452', 'e5c25f8e979ee3f2', 'f8d97e84b057c5fa', 'f98d30de8dd12bdf', '4f98f2555363f073', '33f73227a2a67557', '4ac08235a21e27a7']; context = [[1, 35], [53, 90], [3, 43], [226, 259], [29, 73], [85, 123], [81, 114], [51, 91], [22, 58], [61, 105], [86, 130], [202, 247], [18, 54], [0, 32], [58, 106], [3, 52]]; loss = 0.012364 low_pass_filter = 0.300
+Epoch 0: | | 14209/? [2:25:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 14210; scene = ['cd552e321923c4b2', '1f2fe0d464f61de0', 'bcbd422c5506815b', '9095922ae071f31a', 'f4e639c0c0c58d2f', 'fc6cc5edd65440c8', '93f34f0d4f213c72', '1c71c8e9e6c71a6f', 'ad0905e8a8dc08df', '744ef2c904ab063c', '037b77f7cc0565e4', '81323576180ae2d0', '3b37f7f58ab83fc0', '497905dfd41aea44', '6107ebfec4cb10db', '5d986af113fbac56']; context = [[13, 61], [14, 58], [5, 41], [34, 70], [5, 51], [45, 83], [0, 35], [0, 34], [1, 42], [122, 164], [21, 62], [10, 44], [11, 53], [126, 170], [6, 40], [217, 249]]; loss = 0.014524 low_pass_filter = 0.300
+Epoch 0: | | 14219/? [2:25:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 14220; scene = ['efd001b0d5127d61', '3d33a7bd6d3df282', 'a57ee414bd946402', '13bf5f055a9014fa', '0e4916077d990d1e', 'b91dfcb3102d1482', 'bbde6840d9d8b008', '788e3f2f61826f98', '9c763036f1d84e18', 'a597e94e50eb917a', '5a2ad43377e9d18d', '7759eccd562145b9', '67e69f3a4701dfd8', '9db02389f1e00f28', 'cfb20f8971e6a591', 'e42929a5ac81d253']; context = [[102, 137], [8, 42], [0, 40], [15, 53], [0, 47], [68, 116], [9, 43], [22, 61], [126, 173], [50, 90], [26, 67], [11, 51], [46, 91], [29, 67], [18, 61], [222, 255]]; loss = 0.015215 low_pass_filter = 0.300
+Epoch 0: | | 14229/? [2:25:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 14230; scene = ['ff7f479807aed527', 'd66caf236dd06338', 'ad4f8fe9d44db87e', 'e5245590cf6cd5fc', '512b6de83df6fea4', 'd7a82aa577ae8a6c', '336296e17134d8a5', '81691434e83125a2', '8fd650e68fb27844', 'deb3e637a2b8d971', '3cc5e07978538c0b', '4bf8e1ae461f5eae', 'c939b1e53eebfcad', 'a0918e81b29ea2d8', '598b1c9d13403339', '73f43de5db04dfe0']; context = [[7, 47], [1, 38], [106, 148], [1, 40], [51, 90], [34, 70], [93, 129], [28, 66], [13, 54], [208, 243], [5, 42], [39, 78], [24, 65], [103, 141], [56, 95], [62, 97]]; loss = 0.010275 low_pass_filter = 0.300
+Epoch 0: | | 14239/? [2:25:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 14240; scene = ['86920e8a33bf80ca', '892d7a83c3b9e98b', 'dc27bfb429117ad9', 'cd6c74ea0440e539', '2918ac9eea470964', 'f3a5f3677b605b8e', 'e5bb63fb3c7ccacb', 'ccc977a72ce800e1', '298b67257e341328', '97c644f0012e37df', '079dfdfb6f34e74d', 'e8a0bf2b39e23967', '5cdedaf7a73ab3e4', '2030baaadd722949', '956021735ce8482c', '1e1d3ee71e56989e']; context = [[21, 64], [41, 74], [136, 170], [32, 68], [52, 90], [12, 57], [0, 47], [25, 74], [26, 71], [5, 39], [56, 94], [17, 52], [145, 191], [37, 72], [133, 174], [49, 93]]; loss = 0.008999 low_pass_filter = 0.300
+Epoch 0: | | 14249/? [2:25:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 14250; scene = ['cd2938c215f7866c', '55dc01f667d64238', 'c76256f508e160eb', '2cd1fefb3b7a4568', '8cfa50d79d888b55', '2c99a90acd0b3767', '92c399964d13a272', '065bf65ebd23b07b', '6d6b7b3c93fa9c9d', '52b45b5c1577bab0', 'ed2440762b713883', '99b45f6ebd69c0d8', '6ebab888069161eb', 'd006b2a511adbf29', '06809cb52e822187', '420795d6a1a2af21']; context = [[224, 262], [8, 54], [23, 58], [63, 97], [130, 171], [1, 42], [71, 115], [152, 192], [72, 109], [52, 88], [5, 39], [1, 34], [205, 243], [16, 64], [110, 143], [37, 70]]; loss = 0.010343 low_pass_filter = 0.300
+Epoch 0: | | 14259/? [2:25:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 14260; scene = ['afd1f0b4fba0c645', 'c50585b25ebfe2ba', '120933c886936b7b', 'ccb4fb4ff1862f97', '0854759c3f66028e', '8461b621f373d04b', 'ea05fe4dc21b53e6', 'db57f8c931011117', '7dfe5f26a43a1ec5', '2a06d961049b4fe1', '083e06ea00de183b', '7d3052b47a5d4cfa', '9d22ef6b551b25a8', '79bdf6f1921b96da', 'fe95b1b2cd2306fd', '6f8c7d10b8feadcf']; context = [[58, 91], [12, 58], [36, 85], [47, 83], [169, 202], [11, 59], [4, 45], [191, 240], [4, 47], [90, 122], [37, 81], [27, 66], [15, 53], [76, 108], [5, 45], [39, 73]]; loss = 0.009880 low_pass_filter = 0.300
+Epoch 0: | | 14269/? [2:25:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 14270; scene = ['9d72fd4253ba8ba4', 'ccd8e7726eb7c76a', 'dd62d63a523acdbe', '91722542cd063407', '6cee4547c99f248b', 'a7957a1e2b7ad909', '982da008194b287c', '107fabf0d1dce254', '63f6e847b2e2a2e7', '80f5da17b4119bbf', '4a0f95a3db913b56', '93e09aeb0a7c54d4', '1045f4f8fd6bdd09', '8d758914077e5926', '93416bc86e84f4c5', '65ea58de7758f8c6']; context = [[1, 44], [40, 75], [79, 115], [84, 126], [63, 106], [143, 176], [0, 44], [129, 170], [43, 89], [9, 41], [173, 217], [22, 60], [20, 68], [57, 106], [78, 115], [17, 66]]; loss = 0.011096 low_pass_filter = 0.300
+Epoch 0: | | 14279/? [2:25:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 14280; scene = ['f02861ed6d0329b5', 'ccf0fb152a3957ec', '63a09885afeaa9ef', 'f2b4a95d85794e10', '6ea74667405e5d34', 'ca36619148db4be3', '496f88184a96ed20', '30dc0c7b9321e117', '250136a25de84c24', '52e151715801a63b', '4be1f99340bb1de1', 'efa5ddfbb9162abb', '28795a4d98abec95', 'a146e529fe29351c', 'c1a2f4b74be3af7f', 'b80411109ad427b9']; context = [[9, 50], [0, 45], [51, 83], [41, 80], [22, 63], [1, 47], [15, 57], [14, 55], [99, 148], [36, 73], [82, 125], [12, 45], [1, 48], [123, 168], [35, 73], [4, 52]]; loss = 0.009640 low_pass_filter = 0.300
+Epoch 0: | | 14289/? [2:26:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 14290; scene = ['57ea9d333a45531f', 'c6d952dc739b9928', 'ecdf96cbc206b705', 'edc95bf3d8125af5', '475c01ee641612f6', '1b65116c3c5c1368', '0d58b951f36e525e', 'f86cf6a67566bbee', 'b095acdded6e47d1', '055474bd0ee8fe3f', '0da66e0b84245e9a', '51906f14ac9f95c4', '83689b78310fab98', '5108afe9f18fa9ed', 'd196dc894157ca53', 'fa114cb02b25cf9c']; context = [[61, 105], [24, 68], [81, 125], [53, 94], [174, 214], [63, 95], [3, 48], [15, 63], [27, 61], [2, 34], [28, 68], [14, 50], [37, 74], [41, 86], [158, 200], [131, 166]]; loss = 0.009718 low_pass_filter = 0.300
+Epoch 0: | | 14299/? [2:26:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 14300; scene = ['81eb6c7798c391a1', '868bba780260c9d8', '276a13f09ec9a0dc', 'de1221dd6506c5d0', '38d897635c61c8c9', 'ae13716dee49ec9c', 'f4559e045f3090e2', '5e56cda42b8a9d7b', 'a2ec0615e2fb379c', 'f95facdccf8cb319', '555f1845dcb38293', 'fc18f51cf62b7fe1', '6f82fc8f2c6cf936', 'da794864ac5ff11d', '83d154863471b87c', '769783c83e98144d']; context = [[9, 53], [11, 55], [59, 106], [41, 74], [26, 68], [209, 257], [28, 76], [7, 40], [5, 52], [46, 95], [24, 60], [1, 39], [35, 74], [35, 74], [156, 199], [0, 42]]; loss = 0.013378 low_pass_filter = 0.300
+Epoch 0: | | 14309/? [2:26:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 14310; scene = ['810baf013fd27f1d', '867c2bb5fab7a6bb', '40e1ec4d9aa2c2c5', 'd18c658cacb360e7', '962ab4451c30479a', '215aa6a4d48d04f7', '1d5beb41beda4af6', 'c043b0c770a81f04', '0b0f20dd486b208a', 'f83541c6c3766a70', 'f5729c1f4eee619c', '7e5756871781609d', '6f734cb7648a8dc0', 'd5c8690ebede654c', '94eaa93e8ebd8db0', '2ab59b3cd18cf2a6']; context = [[56, 91], [83, 122], [10, 59], [36, 83], [71, 119], [7, 42], [22, 66], [1, 43], [12, 57], [29, 62], [0, 42], [21, 57], [184, 229], [18, 50], [96, 136], [2, 41]]; loss = 0.009698 low_pass_filter = 0.300
+Epoch 0: | | 14319/? [2:26:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 14320; scene = ['164c533e5d9d5a37', 'a25e9cea544647b3', '5dba123f9090725d', 'baacf9131d9c6675', 'e78c525a4ed9a37f', 'a5973d629374223d', 'a62fce653d958993', '974067e61aa0d408', '7d69dd54dd98dec6', 'd537424645c19bac', '0b201ea37af17d70', '13315e22e6006d81', '1c34e3c57f481afb', 'd2f75c23ae5bf23c', '305c444f0ac84615', '725e9b2881c14339']; context = [[104, 140], [126, 163], [19, 65], [2, 41], [33, 79], [78, 110], [225, 271], [12, 45], [125, 164], [83, 126], [52, 92], [38, 84], [20, 52], [41, 77], [17, 60], [15, 50]]; loss = 0.014258 low_pass_filter = 0.300
+Epoch 0: | | 14329/? [2:26:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 14330; scene = ['e740e81d6420950b', '6734d3ffb326ccd5', 'c0cf07e5b372acbd', 'a21ecaa051b3c9d3', '4091922e35b9888e', 'b14c7ad01174f831', '358debce281c8f2f', '59db4a6c5b9f2cf7', '1c2cc296902ee8ae', 'df0c5e9e24e7a7c7', '04e1cc8fae1733ea', 'eeb6c11a957a10be', '321585c609c2f021', 'a60716af5ec0e3ef', '1d1a2d85e494003b', '0545f9c5b16ffd1a']; context = [[184, 227], [71, 114], [12, 51], [0, 47], [56, 97], [28, 77], [14, 53], [15, 53], [41, 81], [13, 62], [13, 47], [62, 98], [12, 53], [1, 47], [20, 62], [36, 84]]; loss = 0.008869 low_pass_filter = 0.300
+Epoch 0: | | 14339/? [2:26:33<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 14340; scene = ['74340c79b94eac7a', 'd42d236f6214408c', '985655fe3f7680ab', 'abc79d2a945b5123', 'b1cb0d294799edbf', '19e2d9003bc31363', '98a8828ad2bd1d1e', '72cd40bf31ccf863', 'cadc22205296742c', '18e4f707e6d47890', '3eae4ba835287803', '7433c844136c5cbf', 'bd234e44bcb453b6', '902df386b320e9d8', 'abaab194e270c8ab', 'bf61bdd94ffde7c7']; context = [[5, 44], [17, 61], [108, 156], [155, 201], [1, 44], [99, 137], [12, 49], [105, 151], [15, 49], [119, 167], [58, 105], [57, 92], [57, 90], [27, 63], [86, 119], [4, 50]]; loss = 0.010151 low_pass_filter = 0.300
+Epoch 0: | | 14349/? [2:26:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 14350; scene = ['658d3f56767f0396', '1387b0d66678f867', 'c25258ec99f0b482', '45042d8ceb9440cd', 'de0c00eac13d6563', 'aca01dbd389eb895', '09baf34837b78dc6', 'ad6f3772864b9f5a', 'ed51eda77e50f68f', 'c944569063a4abf2', '52d261d44166b108', '2f6cba5238438eb9', '0c63cd231163ae00', 'd85224614a8ba749', 'ff772e9eeaa3fae4', '516e761c5402bf7f']; context = [[21, 56], [150, 182], [54, 97], [65, 98], [9, 50], [4, 49], [41, 90], [39, 84], [9, 52], [28, 62], [14, 52], [22, 63], [15, 47], [150, 193], [45, 78], [6, 45]]; loss = 0.009192 low_pass_filter = 0.300
+Epoch 0: | | 14359/? [2:26:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 14360; scene = ['7976cde98101d0fd', 'f8018d4c96606604', '80fa41ff22809656', 'ef186391b3ac7cca', '94ee6bc8d169ca3e', '488e139f9c2b0e81', 'dec605b552086fb5', 'c556de7049d3c0df', '28a7ae9192740d6e', '92322e57dcdad2ca', '3f07b67383b01259', 'd20934bff9f1298b', '8b97a226a5f0dc3e', 'a6a55b3c0ac5e758', '78a6eeddf60f13a9', 'aaea1523d175b491']; context = [[27, 73], [6, 48], [148, 188], [157, 194], [50, 82], [55, 97], [50, 93], [41, 86], [173, 214], [27, 64], [70, 114], [43, 81], [9, 56], [2, 47], [45, 85], [38, 87]]; loss = 0.008952 low_pass_filter = 0.300
+Epoch 0: | | 14369/? [2:26:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 14370; scene = ['1c9f469940116f01', 'dc72e7a087e05c73', '7fdd2c689e0fbbc6', 'd90c624ad63cd48c', '2ae20d03c324d636', '652fa0eb49c99e69', '4abac98c209d4fb0', 'c24195c8d6c4f8c5', '6ef23c788aae182b', '7860f8fb501c44e5', '7b8d9e3dab13cdeb', '244b5c3c3d557a2b', '313c38700fc2d235', 'd35d3ab840625cc4', '5b5997d5f0ce5d59', 'cbacf5f45d250501']; context = [[1, 46], [105, 151], [2, 45], [40, 78], [17, 66], [5, 37], [0, 32], [49, 92], [47, 85], [98, 138], [130, 173], [17, 58], [35, 72], [20, 69], [78, 116], [186, 230]]; loss = 0.011479 low_pass_filter = 0.300
+Epoch 0: | | 14379/? [2:26:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 14380; scene = ['ca39898dc82ac69d', '4f56573f19ad11ab', 'c61660db7b36207b', '6ae3e9482341c6a4', 'b435f997dcef9ccf', '1599edcd7d71cf8a', '9cdefc042c8a1719', 'a867df8dd978e7cf', 'b9cf1760cfe62ddb', 'db49c27889b9b34e', '3fe0de697d29ee3b', '5cc18a73df81d286', '5aa677118a447f4e', '6736bff536cac8cf', 'fe995c4e6d7f7995', '45cb58d7e0b50485']; context = [[124, 173], [63, 98], [85, 127], [104, 138], [136, 174], [56, 101], [15, 63], [90, 129], [212, 246], [82, 118], [18, 55], [0, 38], [61, 100], [14, 61], [26, 58], [23, 68]]; loss = 0.008916 low_pass_filter = 0.300
+Epoch 0: | | 14389/? [2:27:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 14390; scene = ['46bd6752c4ea9d50', '6a350ebce6b44cf8', '2a5f0ea759c4a950', 'a152a4b1f19f25ed', '71a67ae4eccba383', '0764de57c2aac0b7', 'cb68843a409bae9d', '8a78089f2d693689', '92c72363c53e8498', '49780aa509bee9ef', '8dd1e72a7ae2e4fd', '43c62aae5e2a9555', '6b4ca73a9c573e77', 'f129c9f4b2d40242', 'f4c4d2325f11f2f0', '00b38f4cec2b21aa']; context = [[58, 99], [16, 64], [70, 102], [83, 129], [52, 97], [13, 62], [6, 42], [244, 277], [4, 48], [19, 68], [68, 110], [11, 54], [36, 73], [29, 77], [6, 39], [6, 38]]; loss = 0.011723 low_pass_filter = 0.300
+Epoch 0: | | 14399/? [2:27:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 14400; scene = ['b3259b93d42302e4', '21f480a187d23bc0', '2ca282700e445fed', 'e6f7b434df9bfccc', '02974a46356730d0', '9ebfae382689a320', '0de22e4f66f408e2', 'e9f4aac949620b61', 'c81f209b3458fcf8', '619bbe47d821de6c', 'db61533e680f5d74', 'b06d428a88f3caf5', '2c9ced3cde2db8ad', '9315f7d23405549f', '704ce38139b35265', '1ac92f4574d64997']; context = [[29, 68], [131, 164], [6, 50], [18, 51], [76, 123], [213, 252], [188, 223], [115, 159], [38, 84], [21, 66], [52, 90], [72, 117], [22, 56], [93, 125], [125, 160], [2, 43]]; loss = 0.011433 low_pass_filter = 0.300
+Epoch 0: | | 14409/? [2:27:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 14410; scene = ['c798126c9e920dcc', '17e071f027c54b55', '3bb404adfcc380b0', 'aaff3ba252aa4421', 'c3bc207f4af7ad46', '03d4ce90615f67c8', 'e984993558178156', 'c93d526ee4bfcbf9', 'de283b48b16f00f1', 'ccc8e1d1f59a540f', '2b3d0f3383cdbf6d', '408c3d33681fb78d', '25fc725784a63284', '105174be89a2dedf', '18d2d38e04e4510a', '3d3071a3081b6611']; context = [[53, 86], [89, 125], [118, 158], [79, 120], [16, 58], [57, 99], [50, 97], [11, 45], [0, 36], [37, 84], [30, 73], [31, 68], [10, 45], [0, 32], [108, 148], [58, 107]]; loss = 0.013797 low_pass_filter = 0.300
+Epoch 0: | | 14419/? [2:27:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 14420; scene = ['952518da70706c27', '35c7e73002aa5bc1', '0548de5024c713a4', '63e7c533debc1cc6', '394a80a410049b97', 'c7eedc91db747c3a', '3b82424320bc2c1c', 'b981274d6200dee6', 'e3f8c8880b5884c3', 'a0114e2b6cd504bd', 'f3892c671668deb5', '4ac41771a9f2ca88', '778df8c33165eb79', '91c351a53fa9e760', '1eaa7bdc02de4466', 'c85af019cedeac30']; context = [[23, 55], [30, 71], [10, 58], [161, 207], [21, 64], [30, 63], [5, 42], [221, 258], [2, 41], [193, 241], [16, 50], [26, 64], [13, 50], [33, 82], [123, 165], [220, 257]]; loss = 0.011630 low_pass_filter = 0.300
+Epoch 0: | | 14429/? [2:27:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 14430; scene = ['058932b18ff4eb45', 'ca4e725f7ffc5b00', '734862bc9a03b2fa', '0ccc9cf3fa5a88ea', '6947e0be67a8df57', '1b2e22f9be576cf8', '3c295c9512a8226c', '1bd0d323f2ddcaea', '9228a3a70056f6be', '2fb327f393e1a702', '5e71407b69e684fd', '19b6710bb1d4c2c6', '74a96aa1a14517e3', 'cf248bbdd4913d0a', 'efa7c77851e13768', '32eb9f3b07a73e91']; context = [[32, 65], [0, 42], [41, 81], [25, 72], [34, 73], [86, 134], [51, 89], [36, 85], [4, 43], [27, 71], [58, 99], [71, 106], [178, 224], [93, 140], [21, 62], [95, 127]]; loss = 0.013578 low_pass_filter = 0.300
+Epoch 0: | | 14439/? [2:27:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 14440; scene = ['46a2fb45a3fca41d', 'd6ae5f24c3370311', 'be57d24987e263cf', 'fca0eab1caf12b55', '10f56b77ee96005d', 'ec381df8f0ee69ee', '1bb610e8f990038a', '84b26e1469a78914', '3da2aee2f2d1124d', 'b51de1745d3267b0', '3e54dea2fdb796eb', '7307cfcf9d01b573', '5edc2640274bb9e7', '996d2d7486a4b793', '169413e8a42fb4b9', 'eb09c354c7506b21']; context = [[8, 44], [64, 105], [39, 75], [2, 51], [56, 88], [56, 100], [1, 33], [27, 72], [31, 74], [50, 87], [13, 45], [55, 91], [100, 147], [20, 67], [6, 43], [56, 97]]; loss = 0.007790 low_pass_filter = 0.300
+Epoch 0: | | 14449/? [2:27:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 14450; scene = ['3851f6250f54652e', 'd52b7a9a67c3477b', '2dc33ddd24741d38', '3d2c4bf5557d6b22', '595d89f19a588a0b', '42d895f4b1762cb2', '22858483b5c3a9e6', 'f715a5eff02706b5', '631f289afe5f3440', 'cd38ce8391dbb036', 'ab1ff2aaec862b3a', '1cc3251f1e085d81', '11c3fd0ee0ff60c2', 'a8bb713dd5876fb3', '69d6916a535a24eb', '25aaf991662b1392']; context = [[12, 57], [2, 45], [56, 98], [45, 78], [0, 33], [37, 81], [64, 98], [43, 78], [47, 84], [31, 63], [41, 89], [2, 42], [72, 119], [54, 95], [41, 90], [1, 38]]; loss = 0.010287 low_pass_filter = 0.300
+Epoch 0: | | 14459/? [2:27:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 14460; scene = ['70ebcfb771660089', 'fffda70800952a46', 'e52fbc4a693faf36', 'ddba350b46e1eae0', '1796fc4fdad7e0b5', 'f3c4d607d084de46', '45edb87bd30a2a11', 'd415cb333701232f', '9b36c2834dbc9f79', '30311d7d70e6b429', 'fc837334a2b7112b', '9614ae5a05900bd1', 'b2eecf538192c27d', '9e732e959082a6c4', '5dbda7826d5a5027', 'e381359e340285d0']; context = [[49, 91], [45, 78], [36, 76], [27, 70], [96, 144], [28, 64], [3, 45], [57, 107], [65, 98], [167, 208], [25, 59], [140, 175], [3, 40], [3, 38], [29, 66], [11, 55]]; loss = 0.012995 low_pass_filter = 0.300
+Epoch 0: | | 14469/? [2:27:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 14470; scene = ['696e3e23481f19d3', '9f8dc597e5524ce5', 'e28e1ac9ca519aae', '4325e5d93ac17f8d', '75c3d00ee8651e31', 'eb3d4493eabc70ac', '0f4bb16169333817', 'ea83dfd340855fc5', 'b9b83ef31222c2ee', '09f447a82910d9e2', '51504900fa03f469', '58e75e2b5b11725e', '8230269d5694b850', '46bd6ac81c2ca6bf', 'f4f078781be5bf1c', '17d579cd9c3c11c6']; context = [[20, 53], [2, 42], [206, 256], [62, 98], [56, 93], [86, 130], [36, 75], [86, 122], [26, 68], [49, 92], [33, 74], [170, 216], [6, 56], [66, 101], [44, 83], [19, 67]]; loss = 0.011162 low_pass_filter = 0.300
+Epoch 0: | | 14479/? [2:27:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 14480; scene = ['da4a365fb20fa557', 'dbb7151643a69e0c', 'a5c9cbbc7e1d69a1', '22b1b9bebc0a0520', 'a270004198eddd9b', '1849a41079039a3a', '6494828a237a7a69', '64fe2e10e340ebc4', '4a3ff4b7939ec268', '2c0939fba79df7ad', 'f1cbd0e2909c8ce7', '6a2a2ff9c392fefe', '0762d4d82b19cc37', '58ffd94cf821ae33', '3285acf4e36fa9cc', '1133663b914f2b24']; context = [[170, 203], [146, 187], [12, 60], [29, 73], [14, 47], [41, 82], [23, 63], [13, 53], [97, 130], [137, 183], [45, 89], [4, 39], [2, 41], [40, 82], [22, 61], [1, 35]]; loss = 0.011134 low_pass_filter = 0.300
+Epoch 0: | | 14489/? [2:28:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 14490; scene = ['03f414ba778a0d1f', '6a15ba68d651fe15', 'aad75ba6e6c3304d', '28c643e2cd91f465', 'd737a4d00ba9eb96', '2bb62d9b59e51b1b', '245351b1b14b6bb9', '1a6bd947d15b57fa', '52a73c0beebbd06a', '524cac36a2545b6e', 'e623a0ea7754acff', '26e28d2886638bf4', 'e3f69d6b8251e4a9', 'e8b4e52e3f875679', '2df270a308fce16a', '54892db9883bdeb2']; context = [[0, 48], [215, 255], [3, 52], [11, 43], [25, 73], [133, 180], [72, 104], [56, 91], [36, 72], [16, 59], [13, 59], [14, 56], [37, 80], [24, 65], [21, 67], [30, 64]]; loss = 0.008096 low_pass_filter = 0.300
+Epoch 0: | | 14499/? [2:28:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 14500; scene = ['295a521683cce321', 'd0254d0a58aa37af', 'd78a7830daf4ce10', '0fc7eabb78854784', '47a5504a363ffd80', 'c2b4c2d376a4a2bb', '03aeb7cc51b34332', '28067dda0ffd7a29', '442516502d2ea879', '64ac5e883d17b31e', '3307278c57b32d21', '3d48789267dda573', '518b5b152dbe9bed', '9a3cd88e7992e094', '802a2c4f1cdd375a', 'e46a38e9be8ffe46']; context = [[85, 129], [38, 72], [0, 32], [14, 52], [45, 78], [9, 46], [99, 143], [201, 234], [124, 168], [34, 73], [135, 167], [135, 173], [130, 174], [37, 77], [79, 128], [84, 132]]; loss = 0.009855 low_pass_filter = 0.300
+Epoch 0: | | 14509/? [2:28:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 14510; scene = ['5383d0771e18156f', 'e25f8745858154b9', 'ccac6d545bb86bcb', 'c114ed6df4bd952c', 'd04bd8b488bc8fb9', '3ff7bf5c384d3aa0', '49e1bbd1df636c6d', '3d529db8186deddd', 'c2a67b75f0fb25e4', '1d650ffedafdcc1c', '6b65db2a78a7dee4', '2a473f826bb3cff9', '74554a829a6c35b0', 'ce8c3847daad5128', '295a8bfe559a2f70', '9bc27ac0c6a08d7b']; context = [[21, 53], [87, 119], [18, 51], [218, 252], [6, 53], [31, 67], [50, 87], [61, 106], [16, 61], [31, 79], [41, 79], [109, 144], [8, 49], [0, 33], [62, 111], [28, 63]]; loss = 0.009093 low_pass_filter = 0.300
+Epoch 0: | | 14519/? [2:28:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 14520; scene = ['72d827d8b9fb16d7', 'fc4d62786f122fb5', '5e39a2c628afc961', 'dd4746055f52e4e7', '7445ad35b0826235', '5e57f003a1d61386', '87278d471c769095', '2ede9f4b066d95ff', 'f4ba1460268eac35', 'c17870a4700adfe8', '196d1f794ca7fcda', '3c1643ec85fa8447', '08ba63ccea957eb9', '4a19cedd1223cf8d', 'fbfb9866efe5bf64', '644baf494fab7ff7']; context = [[27, 72], [5, 44], [14, 56], [41, 82], [34, 83], [41, 74], [9, 47], [14, 47], [34, 77], [0, 32], [8, 47], [8, 53], [6, 44], [28, 78], [19, 52], [28, 78]]; loss = 0.009493 low_pass_filter = 0.300
+Epoch 0: | | 14529/? [2:28:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 14530; scene = ['c26b8903c5f2e18c', 'd021d2c52330b391', '1176759f66035c99', '0ad1ec9588d9b83c', '1b1648bd70cb7c7f', '7ea39c3c2e168628', 'dc9851c0d597a098', '8cd1b09ae767cbed', 'ea775b47f8ebff91', 'b3c17c4058b61df2', '5fc58233c894f917', 'c0c77651076e85a8', 'dda6eb6ec007ce39', 'bfa7bd5245ffe7e2', '4ab2f8367e37a730', '5fdf03b1ceb9135e']; context = [[63, 107], [22, 58], [45, 86], [13, 45], [26, 64], [56, 106], [24, 71], [18, 58], [14, 60], [8, 42], [149, 185], [39, 74], [1, 41], [7, 41], [33, 77], [17, 63]]; loss = 0.012289 low_pass_filter = 0.300
+Epoch 0: | | 14539/? [2:28:33<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 14540; scene = ['d5c7ec433b929542', '60043c9f1d07b03f', '27f1e5e997cbb35f', '48cebacf81b6da9e', 'dd6a99f9e257bba4', 'ff84efd73a79db20', 'b81a88ba12cb339c', '71e276d963c867d3', 'ac7e4e45af091245', 'bfd9942692811e1c', '0ab75011e9c92a01', '88c10677dde7a461', '5a653e5ebdcdbbf0', '818df63ddd1cf294', '06740c3d029835d2', 'da29781abdbc32d6']; context = [[0, 43], [221, 271], [12, 54], [4, 46], [80, 116], [13, 56], [16, 57], [19, 59], [23, 60], [38, 74], [103, 139], [80, 119], [168, 204], [34, 66], [29, 77], [2, 42]]; loss = 0.011077 low_pass_filter = 0.300
+Epoch 0: | | 14549/? [2:28:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 14550; scene = ['e92e4346a6224492', '9a725436379352e6', '06917bbe38912ea3', '509496bad5a12f79', '547ebf48151eef4d', 'f8532bb5eca0e29d', '739932d092e06fe2', 'db6cd90de8fee2ff', 'be0f77ad0082e93e', 'b703bdb45d172fe7', 'b21723140f5d4a70', '12f1a55c604c66b0', '22ca9bcb40ef523f', 'b384b7891bc13aa4', '0087cf27aa9e6167', '5c5f3cb0a49b72ce']; context = [[3, 53], [52, 94], [74, 121], [147, 193], [31, 73], [94, 141], [55, 105], [35, 77], [141, 186], [55, 101], [30, 80], [116, 150], [9, 59], [41, 73], [32, 76], [49, 94]]; loss = 0.013797 low_pass_filter = 0.300
+Epoch 0: | | 14559/? [2:28:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 14560; scene = ['bd184ec7a5255843', '1fdb23d22560ed13', 'cde33aece904e16f', '1d6bf47d6ecbd3ff', 'b6fd5a806aefc32b', '76a2e535fa91b6d0', '635de60e1e23e3d5', '602079c1ebdb60bc', '54bef213b59ea065', 'ae9aad3603cc5392', '8fc22c613c72a02a', '3a7d29ec252c1ee6', '03cbfe24b3fba7ec', '08735c801ab7efb5', '370a312c8f5a41d8', '44eccfd9df02acf8']; context = [[160, 202], [13, 52], [18, 61], [24, 58], [22, 57], [38, 82], [10, 57], [35, 81], [2, 43], [11, 57], [19, 53], [48, 88], [14, 55], [78, 115], [4, 52], [20, 54]]; loss = 0.010254 low_pass_filter = 0.300
+Epoch 0: | | 14569/? [2:28:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 14570; scene = ['29fa2f89e067d838', '0b32002777ec4879', '77486bddb0755c92', 'd74d313290a5f924', '7469f6bf2062627e', '62be88274d73f14c', '9fef000277449943', '503f7f337c380539', '013c0bcd158d8d28', '432b0f5fe88b1b68', '7559987bee215f0b', '71f17fd074f1b8c7', 'f97442837996a3e3', 'e486c95acb678d8f', 'c686ee0bcdadcb37', '5c7b74225aece872']; context = [[183, 229], [59, 95], [34, 79], [25, 57], [20, 63], [23, 73], [70, 116], [5, 43], [1, 41], [4, 48], [3, 47], [152, 188], [47, 83], [0, 45], [190, 227], [22, 57]]; loss = 0.011676 low_pass_filter = 0.300
+Epoch 0: | | 14579/? [2:28:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 14580; scene = ['0e875b5d0e45bd73', 'a0030d74c6d8a763', '8d5166588c8bc829', '5c6c6c70effe40ed', '4896c75fdd4bd133', 'c1aad512bc9d3879', '74995a45ae7227d7', 'b14ec6f019932d8d', '03db304406c912d0', '71bf1918ddaf971a', '6759c86723a2f641', '2f2587735ce5a386', '1087329ad17df204', '3835880de7cce2a9', '60e5d0d42a689e23', 'c1e40f36c5764350']; context = [[12, 44], [73, 110], [2, 36], [2, 52], [13, 62], [9, 47], [102, 142], [19, 53], [134, 171], [43, 82], [10, 59], [80, 112], [29, 70], [10, 55], [46, 88], [3, 41]]; loss = 0.010845 low_pass_filter = 0.300
+Epoch 0: | | 14589/? [2:29:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 14590; scene = ['219a184bf5811f40', '2d829feafff5ecc3', 'cebc5f28d2435e95', 'd8ad18263ab12197', 'ce8a42ab8e581bfa', '44b03a113e20e21b', '53ff2824b619a9d0', '104b9d69c1c686e1', 'f870195ebfa6f79a', '6159d78188e448e1', '889b6ed85a8d2fef', '1c7379a6ba4b4dd4', 'dedca05d1dd7d56d', '1401f851d97feab3', '0e0e3aa58ca368ca', '748258417c8a8efe']; context = [[187, 232], [12, 59], [42, 75], [187, 225], [137, 184], [129, 176], [39, 88], [8, 58], [27, 75], [69, 119], [173, 215], [8, 43], [0, 44], [9, 48], [3, 43], [25, 74]]; loss = 0.009921 low_pass_filter = 0.300
+Epoch 0: | | 14599/? [2:29:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 14600; scene = ['e3f35f5e469a2642', '7c1d6f3dd9542cc9', '95e2d1a9e6e1ce77', '5a56b75ac75a93a8', '25d1d1a22391449f', 'a59d4fe567e33cf0', '53d3a781a7db7cae', '9bc6fbf248bc726e', '7877153d7b11265a', '4d11b8a54ca3f310', 'ce02a33915d0b0d4', '51f633fd87dee5a3', '21c70595a4f20e8c', '7713d909cf7bda4c', 'e4ba635ef37eef5a', 'd063e47225f787c3']; context = [[134, 171], [91, 139], [113, 150], [4, 52], [2, 36], [172, 211], [65, 109], [11, 50], [10, 46], [103, 146], [4, 51], [31, 79], [9, 58], [56, 99], [40, 80], [94, 141]]; loss = 0.010742 low_pass_filter = 0.300
+Epoch 0: | | 14609/? [2:29:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 14610; scene = ['e68096411dbcfb80', 'd276fe0631793b12', 'f0806f4f675052ba', '4debede1041e403b', 'e2f119aa9500df78', '693e794fcaa48264', '172d7e9dc2acbdce', 'ea58ed9094715198', '3dd01f2ce2d419ce', '63ccdd61742e8f26', 'a1b5883e8c97b20d', '47a9b1e96499a466', '2462c8cb7c8ceb8f', 'd15566035f9fbe7d', '9e9e23b0d4bf4e3c', '216a66f91f256578']; context = [[75, 123], [104, 149], [2, 51], [16, 61], [9, 41], [14, 46], [21, 68], [28, 77], [100, 139], [33, 72], [15, 57], [55, 93], [35, 76], [63, 95], [4, 52], [20, 69]]; loss = 0.009165 low_pass_filter = 0.300
+Epoch 0: | | 14619/? [2:29:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 14620; scene = ['71184096bdfa36c7', 'a41c750693eb1472', '7e25e7669443bd73', '29fabf56364e9d1b', '0c52454885189188', 'df0ac86df48f6d06', 'dacf77dd43f1d0f1', '15f14a9a8d3f7769', 'cc6c8d74122beb91', 'b1dd1726f1f46b42', '1018776739e1250b', 'cbb91c77a7526d61', 'e58feef82356fb26', 'e53a82bfe84a2251', '4edcc58025a77735', 'cabe1e553676170f']; context = [[37, 72], [86, 128], [83, 121], [23, 66], [29, 69], [235, 274], [112, 152], [6, 41], [53, 101], [108, 144], [0, 32], [1, 51], [2, 44], [1, 36], [18, 61], [22, 64]]; loss = 0.010993 low_pass_filter = 0.300
+Epoch 0: | | 14629/? [2:29:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 14630; scene = ['2de7f58f5e033b42', '7754fa3ca481fc0e', '9ec2e7dce2d6f463', 'c8dcc958da71336e', '7ca371bda254ed80', '5b458ab008fafb80', '8c6d47f3c5e452d1', '7554edcbb2a0f82d', 'a6f8fd517ff5fe42', '3c2e4c90398b4576', 'cea44a6c6a0d3848', '9c6dbb44ea9811f4', 'c3919bfa4fe57c63', '84c73e4976f859ef', '2e9403daa9e6a49f', '137af3bde9d9b5f7']; context = [[18, 51], [16, 49], [9, 47], [44, 80], [77, 113], [3, 48], [4, 51], [15, 59], [59, 106], [201, 248], [90, 128], [6, 44], [97, 138], [72, 114], [168, 202], [1, 44]]; loss = 0.010190 low_pass_filter = 0.300
+Epoch 0: | | 14639/? [2:29:33<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 14640; scene = ['5c6ef4865ed51116', '82bb912dd8628b3a', 'f728a149ea2dcc32', 'e3547f5d45666645', 'da85e1680f6d70e4', 'eeb0131c26691b17', 'aad6209cb374086b', 'f695b9fd884f9c3d', 'd9205348ae400514', 'c9755380f559fa04', '5acc2cb4c8cc2220', '010c854caafa7b1a', 'b297c645ad60925e', '9a9c0d480afef099', '05c221dace25747f', '79498fcd587e86e2']; context = [[52, 90], [100, 143], [39, 85], [36, 76], [31, 67], [16, 58], [5, 42], [12, 62], [15, 61], [8, 41], [85, 129], [71, 112], [98, 144], [117, 151], [13, 48], [92, 139]]; loss = 0.011621 low_pass_filter = 0.300
+Epoch 0: | | 14649/? [2:29:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 14650; scene = ['1d09d68c42cd89c7', 'ce83b2cb583c5746', 'f7f3359cd5a72d36', '6cb8cad45aa47eeb', '5bf5e62e8cb5e970', 'f9f0b2a0c30a0d60', '8adb7580e98e6b12', '670bdb97d8e34857', '19bd1fb84a1bcfb2', 'ec6f1f361e4e58df', 'a8f5d907bf744969', '4d60cb7b128ae762', '5c2d38cc35d303ff', 'cca9b8bd91f5407c', '6cc7459261d5ef97', 'd10ec88f20d573ed']; context = [[61, 97], [0, 46], [21, 61], [26, 64], [47, 92], [7, 53], [2, 42], [1, 35], [76, 116], [55, 95], [23, 56], [74, 106], [231, 268], [141, 176], [14, 58], [51, 86]]; loss = 0.010069 low_pass_filter = 0.300
+Epoch 0: | | 14659/? [2:29:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 14660; scene = ['7a0b51c3bfddce51', 'c5bab1e3fcecd090', '9de46bb009a08fb5', '3a05ad6466f6ca3c', 'db69b164ea00101f', '317861b88f2bee02', 'ea0724550b13acea', '0d523169ade73286', '9b6bdc23cba32873', 'e5fb96a5660d33ed', '39d5184c4a047f1f', '7f532f61480e9e92', 'a0c8f13e0ee9d03e', 'dedf1209f6d5747f', 'd43bcc23c8839201', '993fcef909c7650a']; context = [[205, 252], [60, 108], [16, 57], [40, 81], [85, 125], [237, 272], [142, 183], [39, 75], [119, 158], [0, 39], [0, 34], [28, 70], [32, 79], [60, 93], [50, 97], [22, 54]]; loss = 0.011939 low_pass_filter = 0.300
+Epoch 0: | | 14669/? [2:29:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 14670; scene = ['3352936c57a1d3c9', '91c166ec1a40ae2f', 'a80f041ba46868b2', '235eaad47ef70bec', '3c3b89dd371b0d05', '022dcc77d485117a', 'aae4f7cf0484ecf4', '641f6c357193d23c', '27727baa0d2bab84', '2afa66ba3b843b4e', 'f5ec2d727c316a10', '1d5e720fbd1a1938', '3d3c2c9af14d56e0', '17b596f17c9f4c61', '6be1fce840607d8a', 'd37f8401dc61d4ac']; context = [[23, 64], [61, 108], [211, 244], [16, 50], [79, 115], [87, 123], [107, 149], [44, 81], [28, 73], [219, 268], [26, 62], [71, 116], [34, 69], [88, 131], [13, 46], [44, 78]]; loss = 0.010157 low_pass_filter = 0.300
+Epoch 0: | | 14679/? [2:29:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 14680; scene = ['ea8b2c80d239bcc1', '4987c4d7ec72610d', '0f5abbb7e9e13751', '49611abd06487b73', 'cc99f79225455b28', 'd706f9af100f0c57', '20728de310f17634', '33111ae5fb134ae2', 'b5962106567a3f6a', 'a8e322c05f5ee05f', 'bea9a5616b6568be', 'f3fb6cb6a5e93e44', 'af5d0d9ca92db4fc', '7abfc06afa782800', '065a1d221681a033', 'e978e66867316a9c']; context = [[21, 58], [78, 119], [108, 151], [59, 102], [95, 131], [2, 43], [55, 101], [0, 50], [7, 57], [26, 66], [80, 120], [25, 65], [127, 161], [4, 53], [211, 256], [16, 57]]; loss = 0.010155 low_pass_filter = 0.300
+Epoch 0: | | 14689/? [2:30:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 14690; scene = ['d5e1447e1de01607', 'a33f17057a017185', '9571d138e429ca67', '79fa3455235ba17b', '00182dd4c74ab052', '3c5d2e68f96da4e1', '41043e181f5377c9', '02a0d88ab226852a', '0ca076d4e9cce556', '602bafce92295e6a', 'e81ebff3e97d4e04', '4e51bd2f1763a84a', 'cddbf2f4526b1e1a', '912281b34d2c3a9e', '796ff6ded9b7805e', 'f08604329e31902a']; context = [[31, 81], [61, 99], [64, 100], [32, 65], [38, 87], [20, 70], [91, 136], [79, 123], [63, 95], [14, 57], [83, 118], [45, 93], [21, 68], [74, 110], [38, 87], [30, 73]]; loss = 0.010400 low_pass_filter = 0.300
+Epoch 0: | | 14699/? [2:30:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 14700; scene = ['891bccc742646bd1', '791434f2b9cbdc39', '44907ce3af3f17e3', 'f597ebefbdb08592', '115a398f51307f6b', '922350a09bb6233a', '1647a773a10129d9', '3b7bd7e723f069b2', '865013ca4f91cd13', '44b88fd41e47df01', '89d86b956405d9d3', '5e11c3d58d7e88c8', '8d63fea57e01c8cc', '2d448f1fda854cb5', '90b386235765d7e1', '1814f984bb155fa0']; context = [[0, 32], [41, 83], [1, 38], [22, 57], [24, 56], [14, 63], [3, 48], [230, 277], [7, 42], [234, 278], [8, 58], [236, 270], [28, 78], [16, 59], [43, 80], [25, 67]]; loss = 0.008075 low_pass_filter = 0.300
+Epoch 0: | | 14709/? [2:30:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 14710; scene = ['cf888eee79e98e59', '1c06aea20d266433', '729fa587a8a49343', '2f669847b3ec379f', 'bd06c66243805d2f', 'd063d31fc9a7af2b', 'e83742a3e43bd126', 'd3277a590af7e77b', '62d9c30b7009ade6', 'd1594196fa748b2b', '20ad4007f8dc89fb', '7d675692ce253ae5', '8421d1b832751b06', '31e3f047172167fd', '276fe2a344c8c50e', 'f50a0d6022e7e2e5']; context = [[72, 104], [86, 123], [31, 80], [49, 94], [60, 101], [13, 56], [27, 69], [6, 48], [38, 80], [144, 190], [6, 45], [2, 51], [18, 54], [131, 172], [14, 47], [12, 55]]; loss = 0.011244 low_pass_filter = 0.300
+Epoch 0: | | 14719/? [2:30:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 14720; scene = ['027f46042d62d8dd', '3c60078735491108', '2cf102bb6b9d37e8', 'bd64124de2aaeb79', '3834d878ae1525c6', 'a2012fea65fdb1d1', '1d260e4bebf2c0e6', 'a0f9a5c04c8e602b', '1825e5c359626746', '40f122a087305b92', '8f6466cf3955548f', '1ac2a4b1e19586d2', '3c4bdecd948605b2', 'd77d8728b4f60c05', '20c567d65674f2ca', '37d500b0d445527a']; context = [[107, 157], [14, 53], [22, 65], [35, 68], [62, 108], [101, 144], [1, 36], [5, 37], [78, 111], [166, 199], [0, 39], [75, 107], [18, 59], [32, 73], [28, 75], [65, 108]]; loss = 0.010701 low_pass_filter = 0.300
+Epoch 0: | | 14729/? [2:30:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 14730; scene = ['ea1914f59482039b', 'a19258a9ec8e067d', '53b329172b71e22e', '83e89ce8743d173f', 'd28b6907c373ceb4', 'c2cb3f434cb54496', '4f4c4302c36cb755', 'd71bedd45d2622eb', '817e115884ba88aa', 'e8f5349d18840614', 'bf19a5f6f58bc028', '1a4236953ed9e598', 'e39973a267fed33b', '770b8cae0d2ea678', '70cb3fa7ba32d9a3', 'e8201a41f5af1b50']; context = [[156, 194], [64, 108], [19, 55], [24, 64], [11, 57], [7, 47], [164, 213], [127, 170], [74, 118], [115, 161], [19, 63], [1, 45], [2, 38], [18, 62], [148, 195], [125, 170]]; loss = 0.008344 low_pass_filter = 0.300
+Epoch 0: | | 14739/? [2:30:33<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 14740; scene = ['155bdf703c9d2c78', 'd85e72198954fedf', 'ac522c134dfe7713', 'e3221f6e2e4298b4', 'f86a5df27270cd63', 'aab3ddb3540888d6', '90a596bfb6501865', '1f44f9200820c142', 'db91fed7543340ef', '01c72bfd2acc1bf9', '820efb23bec5de13', '61c1a8c9a5bbb249', '3aa408880547719d', '09358602367b997b', 'd29cbb6e7aa31fbc', '36784897d51395da']; context = [[38, 73], [10, 54], [7, 45], [10, 46], [6, 45], [26, 66], [74, 108], [41, 73], [11, 51], [34, 70], [30, 73], [30, 67], [17, 51], [47, 80], [21, 67], [79, 115]]; loss = 0.010292 low_pass_filter = 0.300
+Epoch 0: | | 14749/? [2:30:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 14750; scene = ['48ad31a1ea12ef16', 'b9a91fb9d8b245dc', '23a21511074188fa', '546f6ef7e1ecadad', 'dfd3f902b645c2b8', '851ee72bbb63c5b9', '8d5750fb3066c585', '7b8b7615fd2f7724', '3fbb0670a23bf050', 'd35e90f8cb411c35', 'cb4d635a85911b86', '4538a4e738f84589', 'd946391d7812c84c', 'cea7f0f676df3c07', '88c61f5f82fd8a47', 'bb09fe710c29a6f1']; context = [[14, 52], [24, 70], [30, 73], [77, 111], [66, 111], [170, 211], [12, 46], [27, 62], [59, 103], [151, 187], [6, 43], [191, 229], [39, 89], [66, 101], [10, 52], [7, 50]]; loss = 0.011936 low_pass_filter = 0.300
+Epoch 0: | | 14759/? [2:30:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 14760; scene = ['218e8f36b7cf1179', 'acf17336705da39a', 'b58ad668ed5946a2', 'f8372a143e797098', '761d3028a4027ec2', '6d5a7765a9f78f05', '1646e618e848d6d4', '5a33c3fd335205dd', '3a118f5199067e38', '54b7cd4104a189b3', '92243f1c96656398', '62dfb6acac4e7353', '3d3570cae9dd24b2', '5e3ea271106a0019', 'e28dd08b05e0e835', 'f1ad34b317f596a8']; context = [[15, 53], [35, 75], [5, 53], [20, 57], [6, 38], [36, 68], [91, 137], [124, 172], [117, 166], [32, 75], [110, 156], [27, 61], [45, 92], [15, 56], [27, 62], [26, 59]]; loss = 0.010285 low_pass_filter = 0.300
+Epoch 0: | | 14769/? [2:30:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 14770; scene = ['a098120648ef79b9', 'd7ebd02f7393cb5d', 'd5074acf0e20994f', '1f94351ad6a1338b', '2a95182b4cbd572c', '86e7448e46eafff9', '641b0fd980f31a43', 'b12fc4e65b54767e', 'bec452193584d1a3', 'a98e531a5476b090', '92f5432cf00fa4b6', '6c05286b9abb1ea5', 'c749bb7b80066e93', 'abdd8d4ff3698408', 'ddf12051e7f662c6', '8f2dbac708da0c44']; context = [[10, 52], [151, 187], [82, 123], [195, 229], [0, 33], [183, 226], [144, 193], [120, 154], [7, 53], [9, 56], [75, 122], [162, 210], [22, 67], [7, 47], [56, 90], [216, 251]]; loss = 0.009856 low_pass_filter = 0.300
+Epoch 0: | | 14779/? [2:30:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 14780; scene = ['78c26ca4826aaec5', '1e6e3dcb8251f852', '6d1cdf6455706bbf', 'e5915107a9c58183', '088f04409263c55e', '7fe28874e9a523e7', 'fe11db7072e7666e', '0d1436b89f8de224', '446a7ddca0d1a28a', '64508af4bf3b2c10', '7ee889f844247786', '921504f59fb80a42', '16f49e5091804328', '1996702577ac768a', '4aca0b9f5148e064', '22248456bae063ae']; context = [[49, 90], [3, 41], [1, 37], [1, 37], [5, 38], [16, 57], [26, 65], [109, 148], [21, 55], [10, 55], [0, 34], [18, 66], [34, 66], [25, 63], [21, 55], [24, 62]]; loss = 0.007386 low_pass_filter = 0.300
+Epoch 0: | | 14789/? [2:31:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 14790; scene = ['049782b6f061709a', 'eed7e480a5e88553', '3e568ab74fb51248', 'b23bded8b95915ac', '1e946a362b6b9ca2', '14865449e509b130', 'a895d0e5fbebc994', 'e4b7df0920724ef1', 'b69e804602b55e82', 'a0c40378636aecde', '2f3271a81eb248ba', 'aceba890257a9ee4', '85024d10f37aa32d', '73a2b9fea20570a8', '68f71fd689a626df', 'd6056e0a258ed340']; context = [[36, 86], [3, 37], [60, 110], [56, 102], [19, 61], [11, 50], [54, 90], [151, 198], [192, 239], [142, 184], [215, 257], [75, 107], [6, 45], [75, 114], [88, 129], [7, 45]]; loss = 0.008767 low_pass_filter = 0.300
+Epoch 0: | | 14799/? [2:31:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 14800; scene = ['c2de98e8401d1883', 'ea163c23bfbd7529', '877e982c2aeacb3a', '9d12753fac2acd44', '9de65d8d1ae2f1d6', '25940df940e06e06', 'e894397d55585428', 'b78e5afe2f63a3d6', 'f5802f62bde9dc37', '7eaa5e263437fd3e', 'ba3e9afca036217c', '869344d81dc936c2', '11f7a2991ed95c71', '7f36a3984d359b29', '24d06a668d2c19a3', '2672581259c382de']; context = [[1, 33], [2, 43], [16, 50], [24, 71], [88, 128], [173, 205], [16, 54], [87, 132], [5, 41], [17, 66], [49, 83], [11, 43], [220, 261], [88, 136], [29, 71], [9, 56]]; loss = 0.009590 low_pass_filter = 0.300
+Epoch 0: | | 14809/? [2:31:16<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 14810; scene = ['7ed36baf0bf654d0', 'cd709c2b3b9e8632', 'b760e2b61123efc7', 'a5b408e117f6e1f6', '2ef4f2852d414a2f', 'b33528b5e7fb4f3a', '607a93e793e68187', '07bf688ff1daaffb', '944e7002710a3fde', '30616cf542da9e8c', '3b55a135d3430c8a', '8f362fabd1b6ba0c', '3f632fc75340f318', 'e5dc57248ba891b0', 'a6e846695f37f07c', 'ad11330d77c6fc36']; context = [[45, 91], [127, 165], [91, 130], [39, 85], [55, 91], [13, 63], [52, 99], [1, 44], [3, 53], [95, 135], [13, 53], [16, 61], [4, 43], [61, 106], [102, 134], [159, 201]]; loss = 0.009020 low_pass_filter = 0.300
+Epoch 0: | | 14819/? [2:31:22<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 14820; scene = ['93608c4038aa7076', '98824563b9f7d065', 'a2153772358e871c', '9322864620eb33c0', '932b4806763bfb08', 'c85b8b7a314d9400', 'fae64c7efc1efe1d', '6060f8f48be51664', '76b806736cbd3ab5', '69b1a39b8bfa50d1', '68a8baf91b21a89c', 'b7ce83af117bba95', 'd58c9ee06ec6f28f', '43afc7d30bc60f7a', '33f6234f6414324c', 'e8f2a9d8809cbb5f']; context = [[35, 73], [82, 121], [12, 53], [26, 68], [8, 49], [7, 52], [29, 75], [11, 57], [17, 52], [4, 37], [14, 63], [22, 58], [45, 81], [141, 191], [59, 95], [3, 47]]; loss = 0.009615 low_pass_filter = 0.300
+Epoch 0: | | 14829/? [2:31:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 14830; scene = ['8ee376f0a298ec87', '480231b83d000bf7', 'abfac8e8c688c9f1', '245ec87f817cf1e4', '484a9bbc30003fcc', '0dcc9979156d2fa6', '81f7dbbb9eb96dd3', 'ef50ada26ead08d3', 'd0723710ad953ed2', 'e2ca1ffeb1c2e53c', '079b906ce521a705', '5438676fd4651f37', '809570a9e8c724bc', '91da94b22d295320', '4f6c27102e9d00fd', 'a4b1346c83476db3']; context = [[61, 104], [14, 50], [76, 119], [6, 38], [23, 71], [1, 39], [30, 71], [6, 48], [23, 66], [3, 48], [19, 62], [17, 51], [98, 131], [162, 197], [15, 55], [176, 223]]; loss = 0.007658 low_pass_filter = 0.300
+Epoch 0: | | 14839/? [2:31:33<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 14840; scene = ['bbdfd0941d4d279d', '094f8c7e2d09a79b', '38c7cf7a3199eb56', 'ff909d460f2ea5a3', '6185798eba1315d0', '4c73cbddc8726967', '00336da5ecce4cb3', '98b525bb4a063f5b', 'c6fa4ea03de099cc', '5516acbfaeb3c455', '1a81dd5de456f254', 'ad91b5890f8cd86f', '686fc9257c8fad1f', 'a4890bc0e3fe95d4', '7dce7662605b5320', 'f5bffc38ce948aa0']; context = [[55, 97], [12, 55], [28, 65], [2, 39], [27, 67], [23, 63], [79, 121], [62, 100], [20, 60], [10, 48], [6, 38], [28, 74], [2, 45], [43, 87], [3, 51], [3, 40]]; loss = 0.009451 low_pass_filter = 0.300
+Epoch 0: | | 14849/? [2:31:40<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 14850; scene = ['2962373860639fa0', '68348e0f06cb5805', '1a34d38778fc33e6', '6392f81fbdf07025', '6053fe94ff738118', 'ca125d684e6771b4', '3e94e736d15703c8', '5015575ebe2cf61a', 'e38dc8ea8cc6a43c', 'a5de97e3a325e6e0', 'de33a86974a575b8', '13c7f39126781299', '53078019d1b8b4af', 'cc61a2c282667716', 'a258d9b29e7b3b44', '436e4e1b7504931b']; context = [[133, 180], [27, 62], [124, 157], [30, 66], [27, 67], [47, 89], [24, 57], [1, 33], [0, 34], [19, 61], [70, 109], [3, 37], [15, 60], [28, 60], [53, 91], [6, 55]]; loss = 0.008879 low_pass_filter = 0.300
+Epoch 0: | | 14859/? [2:31:46<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 14860; scene = ['c0f0b9fb3a20df47', 'd88068c038b9a8c2', '1bcb0cd2d7fbe4e3', '8c6c81a3e5a3571b', 'b4387b50f12cd03f', '885c91e8c9e5d66d', '3871dea7a39088eb', '7d49279f478df95f', 'cce776cba18d88a3', '27f3cec9a7ea058c', '652aa3fc24f9acd4', '52f61cf26a515e1e', '9ebf004526511333', 'fd75df33c92b8b7d', '3ec6e37fc83d8cb1', 'd0b0b6bb1a8ddf25']; context = [[165, 206], [27, 77], [100, 136], [95, 138], [1, 51], [98, 137], [15, 65], [0, 32], [1, 46], [64, 107], [204, 249], [0, 32], [111, 150], [61, 98], [54, 103], [48, 82]]; loss = 0.010264 low_pass_filter = 0.300
+Epoch 0: | | 14869/? [2:31:52<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 14870; scene = ['f9d90190e833a4cf', '77e01fe2ab7d1ce7', 'f7da21f2c663dabf', 'bf812050b5a288a8', '6f29c6e5920ebf58', '83a8808c79184009', 'f353f0555d221d44', '1f6b10c1bfeab825', '868020c5dede77d0', 'dc6a613063a7f16a', '699a3a31be12b40d', '83bf7f4e33c13400', '12601c791bc30f82', '0345af360bac9020', '71ffb1e88c266788', '540cefc32a23b152']; context = [[14, 55], [21, 59], [4, 53], [3, 45], [44, 76], [3, 43], [12, 53], [14, 62], [16, 49], [0, 41], [41, 77], [106, 150], [18, 68], [69, 116], [24, 72], [16, 50]]; loss = 0.009512 low_pass_filter = 0.300
+Epoch 0: | | 14879/? [2:31:58<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 14880; scene = ['9eb71bef64a01356', '93c82fa338786247', '2c475774db9735e7', '536853698e0d75d3', 'cd7f33ee42ffaa99', '09df6c5611f3d193', '8db3f3c632cb9cd7', '5f27e7ce212ec13f', 'd15550f3074582b5', 'c7ff8b136d1e04ea', 'a7cca3b824fba4ae', '43fe85ffb80fe3ca', 'fb79ec5350c1eaed', 'f3e027c7872d9ac9', '18c06550d82aff14', '3c35dc218bba6c35']; context = [[43, 91], [216, 257], [23, 69], [38, 84], [4, 37], [121, 154], [7, 41], [56, 90], [68, 101], [7, 41], [111, 160], [166, 204], [70, 120], [12, 60], [101, 133], [0, 43]]; loss = 0.013540 low_pass_filter = 0.300
+Epoch 0: | | 14889/? [2:32:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 14890; scene = ['f9b2b6c5e82c3a81', '39441c33a49aa7cd', '09b8806139b8641a', '4d01b641965bcba9', '2182f82243b1b557', '5eadfa9632f7fa08', '1ff9a4a3b6e51631', '41afb234315af11b', '62ddd52d1b36f9aa', '8099e2a14e49dfd5', '9fd328f8a94cfbaf', '48fc5cc333450bb1', '442c414a99c4b112', '0584d558b805f5b6', 'b85c409875a4573a', '7f5d687b4d6d916a']; context = [[45, 81], [46, 89], [67, 100], [42, 77], [148, 190], [73, 115], [11, 56], [13, 58], [104, 147], [85, 122], [5, 47], [71, 103], [27, 68], [17, 54], [0, 41], [123, 172]]; loss = 0.010002 low_pass_filter = 0.300
+Epoch 0: | | 14899/? [2:32:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 14900; scene = ['1c71c8e9e6c71a6f', 'b1a0a95f2b59cf25', '349c6cc920ba7868', 'd95573ce88bcad09', '214eeca1d9687332', '3eb10f91b03318e2', '011a1765540790d6', '8fcec41b125f2f6d', 'f9f50b21184a798c', '5b7ab1a8989e1729', '6b3f79a3dae10bdf', '9c04b2fd1b51976e', '4001bca52ac28925', 'd44961c44fa2d3d0', '475cc5043cbf31f9', '9399f9e7caae9a7f']; context = [[4, 37], [33, 73], [11, 58], [14, 49], [112, 149], [65, 106], [14, 60], [6, 38], [10, 53], [3, 43], [45, 89], [3, 52], [23, 59], [5, 52], [153, 195], [20, 69]]; loss = 0.008057 low_pass_filter = 0.300
+Epoch 0: | | 14909/? [2:32:16<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 14910; scene = ['df78723619969e5f', '754711913b00c193', 'bf9d82851f3b3cb7', '4e1290159c4dfc0d', '7de470f122c55a25', '171b4dff96c9f0cb', 'b043b8a11caf2162', 'c2f97d21c68c9450', '34b86d6870238c64', 'ce5600070606c18d', '82b71bfc359ab228', '67a34000b10e05d1', 'b23a2d11dd88eb83', 'ad96a22bb137e566', '60d2537a38149999', '9e15fbc719ab1e4a']; context = [[0, 33], [82, 122], [35, 84], [13, 54], [10, 49], [109, 156], [38, 88], [44, 82], [30, 80], [1, 44], [176, 209], [42, 91], [53, 94], [5, 45], [80, 117], [119, 168]]; loss = 0.011394 low_pass_filter = 0.300
+Epoch 0: | | 14919/? [2:32:22<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 14920; scene = ['c99a2b709a2e2013', '436d7fa2beaa7ae8', 'cd287f0455859191', 'f1e81f068cf9ca15', '21ab524d48f5e731', '711190f70f36060b', 'b841baba38897507', '7a0eb41a0f19e724', '2765f5d2bd45f599', '8f243526414052a6', '7d81b28b7afe5738', 'af9f9ef0469ba964', '1cacfe69c509febf', '591324b1a786d91e', '04740510b6d96720', '792c3b369bcd98f6']; context = [[46, 85], [40, 78], [94, 132], [36, 75], [67, 107], [104, 146], [53, 94], [82, 121], [21, 56], [129, 168], [4, 49], [9, 47], [1, 36], [7, 46], [13, 62], [0, 50]]; loss = 0.011065 low_pass_filter = 0.300
+Epoch 0: | | 14929/? [2:32:28<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 14930; scene = ['c6b5d87ebdfdd4cc', '89881c5590c6fb13', '8b79d5fab54f0f41', '216c2b376142d870', 'fbe03b854c322efb', 'e0da837e447b83f9', '1e1f56d7bbb8b28e', '7bee29375ee511d9', '62d39d3cc5d40248', '58458f2cf9bba722', '4206633a0b8106f4', 'ada41156e463562f', 'b267e2cfc2c3a52b', 'fddb773938b548d4', 'fa964283efb18a53', 'bd5add698623e69a']; context = [[2, 42], [75, 123], [6, 42], [1, 43], [31, 74], [118, 159], [215, 257], [8, 42], [3, 42], [24, 56], [55, 103], [50, 93], [93, 128], [7, 39], [18, 66], [9, 47]]; loss = 0.008845 low_pass_filter = 0.300
+Epoch 0: | | 14939/? [2:32:34<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 14940; scene = ['ea3815a5ada77b49', '4acc7a6d996e102f', '15870d691082eb40', '773fe8698a0eb7ab', 'f291b18d16c3b10c', 'e4e0a2c744fcabd0', '24649be0dd272ffc', 'ee6e5709a57be759', 'db84572032e69dc0', '5eeb2c7cd1bd78f7', '466666b6242e3081', '409dc0e5cbdbe442', '52e13717e8b9393d', '395b1c86e35e8d93', 'c87cba5fcd8b6849', 'bcab3c0184450241']; context = [[110, 148], [38, 83], [59, 95], [20, 61], [167, 213], [87, 129], [183, 231], [116, 165], [41, 86], [2, 39], [48, 84], [44, 79], [49, 85], [8, 43], [6, 44], [8, 56]]; loss = 0.011223 low_pass_filter = 0.300
+Epoch 0: | | 14949/? [2:32:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 14950; scene = ['26b0937fc13a30e2', 'f639db1cd1693ee5', 'f48a588058bcf739', '517ab66f42f47693', 'c2c4a91bbabf2d59', '376a6730c79c8ed5', '30690a825a09d9b9', '3df018bfa7d321c5', 'aead594134900395', '6f9bdb77b6ce8e74', 'ae4d5e2473edfc8b', '7ffc2c8f306ead78', '7f9be765fc88ada1', '639b3f64e6ec221b', '86cc2c97a73c3004', 'a8a820bc0929ba11']; context = [[5, 53], [33, 82], [1, 50], [45, 91], [16, 58], [5, 45], [21, 61], [96, 132], [229, 278], [1, 49], [0, 35], [25, 74], [42, 79], [81, 128], [16, 48], [14, 55]]; loss = 0.012212 low_pass_filter = 0.300
+Epoch 0: | | 14959/? [2:32:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 14960; scene = ['91f161840d0c1cc1', '61f0c6c64165bf93', '03d4213c72458935', '1725f0a5e6852e0c', '4da6746b3ebedda3', '0bfbd4e52e5beebc', 'e0244ef32742736d', 'bb39eaf814bf4908', 'a69b521e2340c0ae', '45de0f6aa929161a', '32f6317591f11355', 'e3d2b4479546065f', '1a770b6c0909cc12', '53ce8007d1dae3d4', 'f918eea9b5ac04b9', '752a9e82e1610935']; context = [[22, 61], [3, 39], [63, 99], [0, 39], [119, 160], [64, 114], [43, 81], [24, 68], [57, 107], [72, 120], [12, 59], [31, 81], [15, 62], [80, 129], [34, 83], [56, 105]]; loss = 0.009917 low_pass_filter = 0.300
+Epoch 0: | | 14969/? [2:32:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 14970; scene = ['cd48d8f1f4ee8fd5', '1a7da077d7abffa9', 'bee739375b5f5994', '68183be9762db666', 'c1225943d41e7775', '405b63e04081b23f', 'a5d8de81d26c95e2', '855e59a8017718a3', 'd510619771b2dbb1', 'd470875e58c39c58', '0e3e75ce2921bc9b', '713acc9de50a122e', 'f7ff5b1477f82169', '2f9d71971c4c8af5', '440db3635ed46037', 'ebfbb2432fcbeec4']; context = [[7, 42], [48, 92], [34, 81], [128, 169], [10, 54], [19, 62], [22, 64], [198, 234], [3, 45], [50, 88], [30, 80], [11, 61], [24, 62], [52, 99], [222, 256], [59, 108]]; loss = 0.009446 low_pass_filter = 0.300
+Epoch 0: | | 14979/? [2:32:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 14980; scene = ['493310c4f0982cee', 'e3e3e781aa8995b5', '8682ce2849525c5f', 'd530355fa74f9cd2', '7b9139fa3b4c253d', '911dbf3814ab3ba6', 'cedc2ca16f1218f0', 'f988aeee5b8242e0', '7d9a1d4a7a201031', 'c5638d0a34f85020', '21568a19429c093d', 'c1fbe55634c0aa7b', 'e9d8a816be542548', '5aa203774fc782b4', '3db79774c58a2dfb', '2b14178ced93f0da']; context = [[71, 109], [10, 45], [6, 45], [5, 37], [20, 53], [25, 67], [71, 121], [72, 116], [182, 220], [71, 119], [24, 64], [9, 46], [78, 121], [25, 72], [80, 116], [50, 98]]; loss = 0.010015 low_pass_filter = 0.300
+Epoch 0: | | 14989/? [2:33:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 14990; scene = ['8f2dbac708da0c44', '88e47bcf464e8188', 'fd02d3dff5210809', '0dd87bbf50036ced', '6c05286b9abb1ea5', 'c749bb7b80066e93', 'abdd8d4ff3698408', '308e91855be81574', 'ddf12051e7f662c6', 'bf170cc6e7f5011b', '37273e37a2c3573f', '6b49b064dfdce852', 'f1569d827ce5bec9', '2899818a923e235c', '86d1360e786d5674', 'de012df6e6222077']; context = [[158, 197], [0, 35], [15, 49], [47, 79], [131, 173], [25, 59], [35, 67], [0, 42], [15, 50], [1, 43], [116, 161], [49, 93], [35, 77], [58, 101], [6, 52], [10, 45]]; loss = 0.009050 low_pass_filter = 0.300
+Epoch 0: | | 14999/? [2:33:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 15000; scene = ['d0d5d14286a27296', 'd4a2a9eb76093fa7', '09620e93073c72cb', 'b66696af4dfbe01a', 'e9af8e5a35c54350', '5b7d6f510045de0c', 'c6f270aee918729e', 'f31f2ae8f0316f19', 'e88847a976dc6442', 'a2f6b667dea1c75d', '0ffd111214e2f272', '67497e4b41e252bc', '064941adad8489fd', '9e8efbefe519703b', '9dd2c1c6262f1e33', '3407fa7d6d62c1f2']; context = [[0, 32], [49, 84], [13, 46], [86, 133], [159, 193], [5, 40], [76, 117], [18, 64], [34, 69], [93, 130], [19, 65], [62, 100], [12, 51], [4, 42], [22, 67], [1, 37]]; loss = 0.009411 low_pass_filter = 0.300
+Epoch 0: | | 15000/? [2:33:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0validation step 15000; scene = ['9e013fd3bd563b6b']; context = [[71, 106]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 15009/? [2:33:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 15010; scene = ['07ad3c9e67f8bf95', '4364c3b9403ffd96', '19c5fbe63a18e91a', '2a43ee2f245c1337', '48b84ebd9166652f', '04ce6d1f0f049069', 'c49afcdb61153e2a', '042e949b55e0c306', '3baa46d1f38c6c0c', 'a97842b559fa0582', '0476107845eb67e9', '73ced5ac444353ab', '17a222a4d296d309', 'ac240008d63e3e71', '50224dd4b565bffd', '023dd7f0dd79eac3']; context = [[19, 54], [1, 51], [32, 71], [43, 77], [86, 120], [10, 47], [26, 65], [21, 65], [51, 96], [27, 67], [75, 112], [3, 36], [226, 262], [0, 44], [9, 49], [11, 43]]; loss = 0.014815 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 15019/? [2:33:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 15020; scene = ['b72b05be77fb6594', '35bfad0493df3456', 'e13c44ba12302891', '157b0fbe05d0d789', '57fe7c02c5ec9bbb', '343a98bd8cfda2de', '89fc915d613ff37f', '0e26579ccb4998cd', '232fe630965b0d11', '77043e8d7cd6aa0a', 'd4017d748d48fe77', '5b8e80b9b14fb5fb', '09deb7b94fd4c53b', '7a64bb9d786b3f9e', '4955a2d36a82973f', '5fb6c59c4a7c68ac']; context = [[18, 62], [1, 37], [33, 79], [81, 129], [124, 164], [8, 42], [97, 135], [8, 52], [150, 193], [88, 128], [19, 56], [17, 57], [65, 99], [43, 86], [16, 59], [103, 139]]; loss = 0.008587 low_pass_filter = 0.300
+Epoch 0: | | 15029/? [2:33:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 15030; scene = ['17a3b2973ac260d8', 'e23b1573b9c59b53', '86dd3f82c63f34de', '5fd2c3f026ad348e', '399cafe233afe35b', '0e31843ccbe9288f', 'a5958226d3c882ae', '19182f06ecd09249', '1e8f5c89b00aa748', '16ffcc8cb40f0126', '6051769ca7d5dea5', 'c847e51d788c65e8', 'e50bac77d5bb056e', '8fc771ff29a8ee83', '1740fad50bc3efcf', '6b1b528b905120b8']; context = [[5, 55], [48, 83], [0, 37], [93, 143], [12, 47], [21, 64], [43, 91], [15, 47], [69, 106], [41, 88], [24, 58], [50, 84], [32, 64], [91, 127], [92, 132], [24, 66]]; loss = 0.012212 low_pass_filter = 0.300
+Epoch 0: | | 15039/? [2:33:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 15040; scene = ['bf170cc6e7f5011b', '09c054099b4e7450', '5efafc624bc57c34', '2635e85202abf905', 'a2e41dcc1211b08a', '87936316747fec41', '139ea1df8d7f576a', 'd902ac6a27f342b3', '85bd140b5d588f8e', '566c10c5e9a29e7f', 'ac5a742e35e2385b', 'a0c8c3af0eee5a8a', 'ad0c7854290bb67e', '4e47cf8a0b5e46fa', '0aa2ad8ed112f05e', '84278f38e03eb055']; context = [[9, 55], [4, 47], [0, 33], [19, 68], [43, 76], [143, 192], [180, 228], [41, 86], [43, 81], [9, 49], [2, 51], [34, 82], [12, 46], [4, 42], [145, 187], [139, 188]]; loss = 0.009686 low_pass_filter = 0.300
+Epoch 0: | | 15049/? [2:33:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 15050; scene = ['bc7cc635b7ab5cb5', '7b24fe7a90ca9f59', '82b8b4c5e983729f', '8d4018b86dd123ec', '122d66974706d78c', '59e04cb072686a97', '31ba0028326b8b17', '5a17274151ebf45f', '1b8abd07e10f4e79', '5f45c360d76a3b12', '50c7f40e49739339', '3a13e56691c8396e', '3836fa3dcc6aacc6', '1a2ea561c9c8f419', 'bc67854fca5cdac2', 'f81c1b6ddc6962a0']; context = [[24, 59], [57, 94], [210, 258], [83, 132], [57, 99], [144, 183], [120, 156], [1, 36], [51, 100], [34, 73], [26, 59], [44, 89], [7, 50], [0, 38], [17, 54], [33, 81]]; loss = 0.009745 low_pass_filter = 0.300
+Epoch 0: | | 15059/? [2:33:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 15060; scene = ['c814764a96faa920', '10b6066326f7ef71', '5932a3d5d9e96f2e', '1ba62a778db81cdb', '00c4e6f642692c12', 'a74c9ba55587177a', '8bf81bba5bab3b3d', 'a6e9da5f8ea25c34', 'dc35c77570c24ea2', '80d18f8705a70093', 'd9eecbe208f90b0c', 'e90baa038f233699', '7aa4e4e4d61cd4db', '49a2a8b6c115277b', 'e7841af4b7538263', 'a26a4e80d45ff758']; context = [[5, 44], [52, 101], [67, 117], [7, 55], [7, 42], [38, 74], [138, 183], [27, 69], [15, 54], [50, 83], [5, 53], [21, 64], [49, 97], [11, 52], [19, 63], [146, 193]]; loss = 0.011646 low_pass_filter = 0.300
+Epoch 0: | | 15069/? [2:34:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 15070; scene = ['d915c4fc127a8969', 'aa296307ca75fac4', '8579774e33353ec3', '28029035a9f310b2', '334d086cdda32830', '0b2cc56f12f96e0f', '5349291b3c6027a5', '7eed2a3e13d9dd94', '27142daeb7ddc5a8', '7c4d84983cdffcf9', '2af39d33e0bf3675', 'e033a01dd38fd7c6', 'd819c632b16b1900', '31da2e3201fe611e', '4ef6e3d8d9059199', 'b024b50e436ede79']; context = [[60, 110], [0, 37], [0, 36], [36, 82], [34, 73], [6, 51], [35, 80], [166, 208], [0, 50], [12, 56], [4, 45], [32, 68], [123, 168], [41, 83], [0, 44], [11, 47]]; loss = 0.009815 low_pass_filter = 0.300
+Epoch 0: | | 15079/? [2:34:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 15080; scene = ['32fa0c47f615dae4', '2f7f9e93ff483426', '5cc90f5e8a0c2294', 'fbaf4cb6ae4fdc16', '3e9cfe1d412ca8bf', '05a92ceeed81751b', '2a5388604c40e212', '4b12e17c628925ce', '1dc62abce9e47288', '93211c8c0ea19307', '68f0e62572201999', '3b3874fb0cfc671e', 'd966e7c0739c36a8', '61e661613b2d25d3', '3fe42e802362cbe4', '8c058dcde89e65b1']; context = [[0, 41], [7, 49], [15, 54], [35, 85], [127, 171], [74, 115], [22, 57], [225, 259], [14, 65], [32, 74], [96, 139], [119, 154], [23, 56], [25, 75], [166, 212], [42, 76]]; loss = 0.009095 low_pass_filter = 0.300
+Epoch 0: | | 15089/? [2:34:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 15090; scene = ['057aed77be9938e5', 'ef1f21f2fd22d7ca', '33152d559f58f283', '385f9bcdb97bb766', 'f91702f19351f9da', '11b21930ecad92d1', '0da44313ec309d22', '35853ff8c6e1cd4d', '5d609018a4b47ad6', '496e6fc19c13a4bd', '728b3e98e007eeec', '46b12e4cbe5f30ed', '882e5b83bbc2027b', '88251d3dbf8b43aa', 'cdb6719712d3b074', '0b11c4c2d21a4f1b']; context = [[6, 44], [5, 50], [160, 204], [153, 202], [103, 153], [0, 37], [104, 138], [5, 38], [79, 129], [7, 57], [70, 112], [90, 133], [28, 62], [12, 45], [13, 50], [77, 118]]; loss = 0.011104 low_pass_filter = 0.300
+Epoch 0: | | 15099/? [2:34:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 15100; scene = ['fb3a12e72b856bd0', '883b428276b20122', '9cd53c2e1832a847', 'cc66dbb6ad5276a3', '399668567ff33ad7', '02e09836f8b1b780', '6e6fc53d3837b3ab', '40a3f4f9389dd20c', '4203a06d618eeb97', '2dcd1e94db751fa0', 'acb03b9827de0765', 'b5be3cfa849d6bc9', 'cf579459b0fb66df', '334eb53845f3615f', 'bb518b3a290d5e83', '7426a108ff0bd8f0']; context = [[195, 233], [4, 46], [63, 112], [17, 61], [12, 63], [19, 58], [38, 79], [23, 69], [33, 73], [35, 73], [24, 63], [67, 109], [35, 83], [37, 80], [60, 99], [115, 165]]; loss = 0.010762 low_pass_filter = 0.300
+Epoch 0: | | 15109/? [2:34:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 15110; scene = ['e80d4228032941c1', '68cbb26505f30aa2', 'cd5889e3c16145ab', 'a74acf8b48c6b47c', 'f0b0ba349ae4a0e1', 'b3ce1599e03be3f8', 'df89f5ef700ef2a9', 'c547ee7c28eb64e2', 'ffe748128f835e3f', 'a39df60612b60375', '7ad5e90fc8434219', '9db124880f8d78ac', 'c4ae95c34e204d53', '6465050cb3142bb6', 'a27aaba0c4a2b558', '91d39686ae23230e']; context = [[24, 60], [195, 233], [118, 155], [82, 123], [30, 68], [53, 90], [2, 43], [114, 165], [93, 139], [81, 130], [2, 49], [241, 278], [0, 48], [32, 75], [12, 50], [11, 57]]; loss = 0.009864 low_pass_filter = 0.300
+Epoch 0: | | 15119/? [2:34:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 15120; scene = ['39e99101dae5b664', '0a5d9bd1a512c498', 'c6252c821a5310db', '3948c903131133bb', '6dfa54a298bd9f1a', '2926375ddae07bb9', 'b9e81e1ba5472560', 'f69e99e1af925636', '5f70f2502a815d4e', '1b5aebb31dd24255', '0de4e1d6b188215d', 'd09259776759df85', 'e90aaffa44f24d62', '456580073fef681e', '566719d1763da28c', '7e5536f41f78efef']; context = [[35, 79], [72, 113], [3, 41], [54, 88], [62, 99], [161, 210], [29, 73], [22, 63], [11, 52], [11, 48], [4, 51], [84, 129], [94, 145], [39, 87], [18, 64], [56, 92]]; loss = 0.011056 low_pass_filter = 0.300
+Epoch 0: | | 15129/? [2:34:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 15130; scene = ['d2bf1f7a52ad1f7e', '7ee761e91dad7f2d', 'b7d671a7137c9fcf', '69c390a5f15bf8c7', 'cf6e883dc02f0d66', '323efa15ec3b9b0f', '87dd03622b1589ea', 'ad1d0abc28a42585', '9e732b6f83edaa38', '089cbe98ad3beddc', '4379921e6438fdac', 'd4c8ef2d288fd1bc', 'a8ae95c162e03289', '79049d915465c4e2', '76f53a277c8e50cf', '655234c2b421904f']; context = [[34, 84], [17, 58], [0, 37], [18, 56], [32, 75], [106, 154], [95, 136], [39, 84], [154, 194], [71, 121], [156, 200], [42, 83], [26, 63], [12, 46], [56, 97], [5, 47]]; loss = 0.013706 low_pass_filter = 0.300
+Epoch 0: | | 15139/? [2:34:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 15140; scene = ['ae1ce26f27f55ee0', '50f7971dda42084f', '59c93b953b49a075', 'ee3f7a4049756e71', '1e387282c09f38c9', 'c89a6efe4e3459d2', '13dc2ac8d31d423e', '16aa545846c4e20d', '6da1a5a4dd0873e8', '915eb91aee459280', 'c82fdd33839610f6', 'd6445dfe4dfc8773', '5815312ac729bddf', 'f86abcf7e247ad2d', '290707483e4f66a4', '7b37e0325f9d3240']; context = [[226, 262], [217, 258], [25, 68], [24, 69], [38, 72], [11, 57], [103, 152], [36, 84], [92, 133], [74, 123], [44, 86], [6, 48], [5, 39], [38, 76], [32, 70], [2, 40]]; loss = 0.010723 low_pass_filter = 0.300
+Epoch 0: | | 15149/? [2:34:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 15150; scene = ['a1e787d5757b71f1', '47369632665bf0c1', 'a96ad8e746757268', 'd4905ef311d9b18b', '6df41a9b3f6b1791', '9542a66ff167e228', 'db82f36b5dbc0f0f', '3abc649dc7186af2', 'c957756daa41c990', '8465adbee68fc990', 'cdd44aaa218af50f', 'c85847819c2d64d0', 'f45f2ed11aa8a46b', 'd060f1ba4d2a73fa', '4f1637bea9f78862', '4aa49e7067a0b7f1']; context = [[35, 74], [24, 65], [16, 59], [165, 212], [49, 92], [126, 165], [25, 68], [10, 60], [45, 81], [70, 111], [75, 109], [43, 77], [31, 77], [25, 75], [75, 115], [7, 55]]; loss = 0.011683 low_pass_filter = 0.300
+Epoch 0: | | 15159/? [2:34:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 15160; scene = ['e3415f47c35a9313', '2bb0b8de88e68323', '6ad716f9b6d89222', '39575de64c3de74b', 'd6f99a65ea33bfea', '01fb53b15143522f', 'e7fc26ae6767e953', '3569d686183705cf', 'd4a97e0a52dc8cb7', 'eeb55a861130a21d', 'dd3bbf1f7f832e83', 'a825a8d54cd14cd0', 'da963e97170fd9e9', 'd90000318f9a8442', '8b671df4b3b155bd', '43b4e4c3f5ae7c81']; context = [[19, 65], [18, 62], [25, 74], [145, 186], [36, 83], [17, 54], [52, 86], [119, 157], [22, 63], [11, 53], [90, 128], [25, 72], [30, 63], [6, 39], [29, 80], [36, 77]]; loss = 0.011305 low_pass_filter = 0.300
+Epoch 0: | | 15169/? [2:35:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 15170; scene = ['044eef3604b91fc6', '70903c43d033db05', '92c7ddb9ed43a0b5', '68b51bdd3390ca27', '8c9101a99381fb4b', '9bea5d613a0649ef', '9ec4a208d822f5d7', '4c32d41a44e936f9', '389a54e3df009553', '884dc158899ce2e1', '480bab337d7da840', 'ade0f8dd75055776', '104bd16490cbed08', 'bb307bd68f12700a', 'abbad56be54aa1ba', 'c3b35d883258d896']; context = [[21, 59], [73, 116], [22, 65], [13, 64], [63, 100], [101, 134], [39, 81], [0, 35], [18, 54], [12, 46], [13, 58], [132, 166], [0, 42], [11, 48], [190, 241], [39, 85]]; loss = 0.011038 low_pass_filter = 0.300
+Epoch 0: | | 15179/? [2:35:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 15180; scene = ['a981c29bc5c30f17', 'a5e62b760ec6ca2a', 'f0614e4ce7b17ce7', 'b85dcc204b980cf1', '1d19392ccd2122ca', 'a522b097d56845a6', 'af2a4edd9ee026e1', '1d106e69248d9af1', '526a07ae78945335', '14e19e579a9704ee', '40786ebccb8aec35', 'b487e00442c5a8cb', 'dbc55534d987c7cf', 'c4606cdb17012d6b', '51bfd3ee5c473481', 'a91657eb1b53c0ee']; context = [[22, 65], [69, 106], [5, 44], [26, 59], [2, 44], [9, 43], [40, 79], [182, 233], [18, 55], [1, 43], [18, 65], [80, 113], [41, 91], [9, 53], [77, 115], [10, 59]]; loss = 0.010284 low_pass_filter = 0.300
+Epoch 0: | | 15189/? [2:35:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 15190; scene = ['0a4e072b35ec9aa6', 'fa5dc3f82887cfad', '746d615513052889', '3db247f055f7e4ea', '3d3facb1425b30d2', 'eea4d2f46db72095', '0ae6dfceec6e70ce', 'f3aaddb01fc4665f', 'c0c40d7196c94570', '6334a2ea61554ce6', 'd6c7ef943acb2490', 'd644cfb925683a58', '89943e55af1ebcb3', '18622e59c80cd655', '5bbae3d047eb84f7', 'd8b3d968d826dae5']; context = [[25, 75], [101, 151], [17, 55], [37, 85], [30, 68], [43, 78], [0, 36], [0, 45], [11, 57], [28, 75], [54, 101], [14, 55], [123, 173], [228, 262], [10, 60], [3, 41]]; loss = 0.009876 low_pass_filter = 0.300
+Epoch 0: | | 15199/? [2:35:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 15200; scene = ['21316ebacd8d1dc3', '4b3fa9f2651d6a1b', '07d791e644a21f03', '4cfdc3ed984caecf', 'e43706d840696cd5', 'c6307a6f1bcddb41', 'a59d4fe567e33cf0', '95e2d1a9e6e1ce77', '5a56b75ac75a93a8', '53d3a781a7db7cae', 'ce02a33915d0b0d4', '7c1d6f3dd9542cc9', '7877153d7b11265a', '9bc6fbf248bc726e', 'e3f35f5e469a2642', '4d11b8a54ca3f310']; context = [[7, 55], [127, 169], [174, 221], [156, 193], [0, 34], [0, 33], [24, 60], [122, 171], [38, 73], [10, 56], [6, 53], [19, 59], [37, 72], [11, 50], [111, 149], [32, 75]]; loss = 0.009911 low_pass_filter = 0.300
+Epoch 0: | | 15209/? [2:35:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 15210; scene = ['cc0b9f33d4d1104d', '0f7f10a38a970ccc', '7a46f3a1073a44ea', 'e888e5cc7d09557f', '38236f059c0bfc08', '239ee85d525cc9ec', '9070088e9e97aab5', '1c2a649eebbf909e', 'f44d13951c2bd474', '7d143a7b55d767ff', 'a13d6561db213baa', 'a7c24f60f1640de7', 'baa2a5d68eeef99e', 'e654c951fe486a67', '0dcc9979156d2fa6', '484a9bbc30003fcc']; context = [[27, 73], [22, 56], [16, 64], [35, 71], [29, 67], [8, 46], [17, 65], [86, 136], [26, 75], [54, 104], [92, 127], [2, 35], [9, 48], [97, 141], [2, 50], [78, 128]]; loss = 0.012176 low_pass_filter = 0.300
+Epoch 0: | | 15219/? [2:35:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 15220; scene = ['7e5bfc3435ae4115', '396c24c723894660', 'dae9a6c7acbc98a2', '265ab8c5130603c6', 'a1bb2ada3181ffff', '7c7405a0b30acfe0', '284f5ab7de23b695', 'ac737cd508aa479f', 'ac64aa93f8140066', 'b5641e5423f6e474', '138c39b21212c53c', 'a6e10acc85cb42b6', '23467cc831529738', 'f8ce5c33f6cf70ed', '2813da755d297391', '7f2f43cf7a4adb40']; context = [[6, 48], [128, 170], [1, 34], [3, 40], [32, 82], [119, 165], [63, 109], [31, 66], [11, 50], [8, 44], [42, 91], [0, 42], [180, 224], [3, 40], [12, 46], [36, 83]]; loss = 0.009663 low_pass_filter = 0.300
+Epoch 0: | | 15229/? [2:35:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 15230; scene = ['4f7b9c79fed7dcda', '0083e7de502c19b2', '521545d0559d0f85', '3c1aa6e11ad2bb0c', '2fe48b787ff699f5', '6dd581f9955f6f4a', '06cbca6bd39eedfd', '59a0a5c091b8dd89', '486bf8a19a80e49d', '3a2bd2caec480db4', '3c92a33b159be5aa', '29a2ce0df203e999', 'a96fe203924c7ced', 'e4c499182720b50e', 'e1ea79f6e06eb4f4', '8d19a7fdcfaf26e6']; context = [[0, 37], [98, 148], [14, 58], [112, 147], [13, 64], [103, 145], [6, 48], [3, 53], [0, 35], [131, 167], [39, 72], [2, 37], [97, 138], [4, 43], [120, 166], [72, 120]]; loss = 0.013206 low_pass_filter = 0.300
+Epoch 0: | | 15239/? [2:35:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 15240; scene = ['f3da07e1268f9829', '8af56d1b49ff17d1', '6feb5bcd09a060f4', 'f7eaf62d4f3c6114', '631f19075ce636aa', 'a1216f7ec040ff5c', 'cda05cdb67698027', 'a90eab41dddde44e', 'e032f2324ed2e451', '0a4e072b35ec9aa6', '7b6c709c0eb728b1', '767a19530957b790', '12025fef56ee3d5b', 'b55b27c9d8f7ad94', '545f0bf834b0b19f', 'fa5dc3f82887cfad']; context = [[105, 147], [16, 52], [202, 235], [20, 55], [15, 62], [2, 35], [35, 83], [71, 119], [10, 50], [86, 131], [86, 135], [207, 254], [2, 38], [14, 64], [159, 199], [84, 120]]; loss = 0.010000 low_pass_filter = 0.300
+Epoch 0: | | 15249/? [2:35:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 15250; scene = ['0be2dda3b9bee02c', '3663d892a56790c3', 'd819adf14aa2d093', 'd10c1a3d693d4605', '2ad3521a6d8e647d', '0160f46f6ab85e70', 'd50f9f193c3063a2', 'ffbad00f23fd9759', '500a15dfebbfd3f1', 'ac2d8427dd7b3f1b', '98a9c426f0c55380', 'dbe23dec6cf24911', '0d37a906aea762f9', '050dc1e2ec4c944a', '420dfaaf7a8f542d', '0a1e871f9b315451']; context = [[12, 57], [79, 128], [36, 74], [18, 56], [156, 189], [188, 239], [107, 142], [60, 100], [10, 52], [48, 90], [12, 45], [22, 70], [60, 108], [35, 84], [115, 159], [28, 77]]; loss = 0.010153 low_pass_filter = 0.300
+Epoch 0: | | 15259/? [2:35:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 15260; scene = ['22ca9bcb40ef523f', 'be0f77ad0082e93e', 'b21723140f5d4a70', 'b703bdb45d172fe7', 'da9ece76d1c9d94e', '739932d092e06fe2', 'f8532bb5eca0e29d', '174ebd189316bd92', '5c5f3cb0a49b72ce', '19dbf45ccabba3ff', '9adb9e6bcc8d8860', '198406e64d55f09a', 'd9a44807f45c25ab', 'd69346456b8fecf9', '99305ea813488197', 'd45f2d9fb239d5b4']; context = [[8, 53], [11, 46], [48, 84], [94, 132], [6, 47], [18, 65], [7, 57], [0, 39], [110, 144], [80, 119], [34, 85], [1, 38], [109, 151], [230, 268], [42, 77], [67, 111]]; loss = 0.008991 low_pass_filter = 0.300
+Epoch 0: | | 15269/? [2:36:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 15270; scene = ['d528f476238b81aa', '22e4f9f3e6fb1cb4', 'ddf23ac21281e688', '9335c0a02e4383e6', '3b4f1606efe949df', 'ec1978c494e59410', '645bdd61301d7e81', '78eaba283994c8c6', '1307574e6ab07d0e', '9e5b301443a4e4e7', '8f93ab80df48a143', '273d38e69ae4e7ab', 'd05ca04016dd15aa', 'bf6c3bb4273bb482', '3eecbfde33a5d536', '21270b591ffb942b']; context = [[184, 223], [40, 82], [36, 73], [1, 35], [37, 86], [68, 111], [53, 92], [17, 65], [215, 248], [47, 81], [32, 79], [35, 71], [88, 128], [23, 67], [52, 97], [18, 56]]; loss = 0.011379 low_pass_filter = 0.300
+Epoch 0: | | 15279/? [2:36:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 15280; scene = ['7dea0889b1b634e1', 'e3b4c785859b3d28', '32ca11ef483a2a78', '4f9ef77133c82bb2', '1edeb862503f2665', '61f94b25b08466cb', '03a6e0bb18677013', '6d31828d93f75cbf', 'd8c6cd792b768059', '44c947200826dd79', 'b75966e1f0ca41f8', '77e8e139fd121920', 'bcb0c15e361a7f1f', '6fcdfeaa3b6ca8d1', '14a5a9be7c637dfd', '2fd88165c45d4bae']; context = [[0, 33], [0, 37], [25, 75], [21, 61], [7, 44], [12, 55], [120, 162], [16, 61], [91, 136], [50, 88], [19, 64], [14, 62], [89, 134], [90, 134], [88, 130], [10, 57]]; loss = 0.011143 low_pass_filter = 0.300
+Epoch 0: | | 15289/? [2:36:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 15290; scene = ['b82d4345c56e2df9', '602ac555f082c9ac', '88c9f100af32569d', '6805afaa43c789a8', 'a462205ad0ca18b4', '5249fc770c2bf279', '6a624121b4cb59ff', '67c43a84148a0be6', '23358c2cc3e7e8fa', '9662f49b6a764dfb', 'da1f9f2859b59142', 'a92ec569ae5c2a73', '5c1d013893a69fb1', '633fa0194a012d8c', 'a1fa4bf737381a53', '32f7b46d278e4954']; context = [[125, 167], [27, 72], [35, 80], [82, 122], [95, 144], [39, 86], [36, 71], [28, 66], [19, 68], [109, 146], [73, 107], [25, 71], [227, 267], [3, 51], [89, 124], [30, 70]]; loss = 0.013152 low_pass_filter = 0.300
+Epoch 0: | | 15299/? [2:36:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 15300; scene = ['ac3690f75f92c28b', '88195dba892d7a54', 'f3a2bc72a2f91be2', '1510ba15d149dd08', 'a70b0efc5ed16834', 'ce3c1b2e2d678ab1', '5fdd48c9974041fe', '9e35575322e0114c', '08d5d5e654eba3c3', '1d0938c10e501ef2', '5790f3223cba0631', '431fd85eeee086ee', 'e77d1067701c05f7', 'b790206a852507f5', 'cc34866a3da9fe2a', 'a2b025627d179842']; context = [[37, 72], [1, 49], [58, 103], [36, 76], [41, 88], [131, 165], [40, 78], [19, 56], [61, 109], [0, 36], [13, 63], [198, 233], [35, 75], [92, 126], [12, 60], [5, 39]]; loss = 0.009787 low_pass_filter = 0.300
+Epoch 0: | | 15309/? [2:36:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 15310; scene = ['5ba184b186b04a98', 'ea8114a2dbc1d695', '3ce2813613f42d3a', 'e7bb87c1283a342a', '502519632955b9e1', '464facd721dc4fe8', '648bf43d7fe51924', '45a0fe81436e8ad9', '77a348ece48ddd36', 'a956cb2982bc95f6', '9782ad24260f5675', 'd9946b2453bdd6de', '998ea1f3c868e3a1', 'd38b3ae6b1136c47', '07cee55ad9de11d5', 'a3cd2e001860cc33']; context = [[66, 101], [59, 110], [21, 64], [104, 153], [7, 43], [19, 56], [8, 56], [6, 54], [45, 84], [2, 36], [91, 140], [46, 96], [51, 96], [12, 54], [99, 140], [67, 116]]; loss = 0.011975 low_pass_filter = 0.300
+Epoch 0: | | 15319/? [2:36:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 15320; scene = ['4efe6e6493f54dfb', '2f20605bea9eaa86', '4fa6193d6c4a7a33', '64771c07a2b5b222', '516e3be5ee3bf382', '4a60d56fc171fae8', 'ec0f91daffb151c5', 'bd60dd411034a330', '3d4952a1e8289a7f', '057c338b658d2c6b', '6b503257ae05df64', '94c8f1c6ee33001c', 'c177284557cac835', '936cfb94d0fa2d95', '78439ac06504df45', '7a39bd58ec1d2ccc']; context = [[145, 194], [158, 206], [83, 131], [32, 73], [3, 47], [1, 49], [38, 71], [61, 95], [33, 71], [48, 93], [176, 211], [27, 72], [34, 75], [19, 69], [25, 73], [8, 57]]; loss = 0.010760 low_pass_filter = 0.300
+Epoch 0: | | 15329/? [2:36:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 15330; scene = ['210663239642cbc3', '03583c28537ca3ae', '87e57ce46082df08', 'b0a821041e945fb5', '75c669ab3a4b5f54', '27cc9e8e5d628dc3', '9dadaec44c97db78', '8bd922b2000c7320', '5d5e28ccdee50a9e', '731e06ecf08c5b87', '47eea4af0e417a61', '4d5bc50676a987b9', '53381d18cd3ab345', 'bd5de4c24d27729a', '8a884829ae8e2686', 'fc4e355ff4418069']; context = [[39, 77], [35, 85], [24, 65], [22, 67], [56, 103], [48, 97], [8, 42], [129, 172], [41, 83], [81, 132], [0, 41], [37, 74], [1, 41], [5, 52], [29, 62], [80, 114]]; loss = 0.009098 low_pass_filter = 0.300
+Epoch 0: | | 15339/? [2:36:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 15340; scene = ['3f08d16d1419ce64', 'e0686e6326f8c08f', '11cd107f829eeb46', '51799f9a8eacb945', 'ba5e5fb5abf3ed66', 'ab42a131df988c32', 'e7a85a4315af4cc1', '957a51e4ffa1a8fb', '70e9f9b109005879', '8cb3e7d09f0310f7', '05281fc06f9b485c', 'c4cbb66b72003fec', '68c08dd9afc6b2f0', 'df416414f84e7fda', '45122de717639111', 'ec4d1bc7b2cffc2b']; context = [[10, 55], [237, 277], [26, 62], [20, 57], [12, 45], [67, 102], [130, 163], [65, 108], [104, 146], [48, 87], [8, 41], [162, 211], [55, 91], [3, 42], [33, 77], [9, 42]]; loss = 0.008456 low_pass_filter = 0.300
+Epoch 0: | | 15349/? [2:36:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 15350; scene = ['0c4caceae466dc0d', '2a71b6004bc0bf12', '070a38463607f676', '1255213b2b061903', 'd8ebaefde5718781', '1098e1e8ff8a6ccc', '212a60ee1257a9ac', 'eff2a535a76f4362', '39144ca292453bab', '2afc7dc230fbf3fe', '09c6fdb9069bfebd', '67426b6ca13230b1', 'f970e1d2a39ddbf4', '2745b72124ce2839', 'c9e5140663ab470c', '9a7bac27466a58f3']; context = [[15, 48], [30, 74], [16, 67], [4, 50], [0, 35], [137, 185], [183, 233], [0, 33], [24, 63], [73, 113], [18, 60], [0, 38], [8, 47], [63, 97], [41, 80], [1, 36]]; loss = 0.009424 low_pass_filter = 0.300
+Epoch 0: | | 15359/? [2:36:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 15360; scene = ['d25c3b30b8fbece8', '6528b83786c46e7a', '209cac34fadd4599', '6d810108226870b2', '13aa0fb5e9f145ea', '4aba3469d1ffa652', 'eaf0ed1633d82698', '7e6e62f4d393df44', '7024b0228507c606', 'f20f2c66b7cfb222', '2b9a91ff3b76ac1f', '8c848bdc65c5b52b', '485e3ebc5ef46c4f', '33636b41c5e8a1bf', 'c1b5d15e2f52afc4', 'b22aced3d738961a']; context = [[37, 83], [4, 42], [2, 36], [8, 47], [57, 107], [57, 98], [9, 54], [6, 52], [35, 83], [13, 51], [31, 71], [143, 190], [1, 48], [57, 95], [26, 63], [2, 43]]; loss = 0.009141 low_pass_filter = 0.300
+Epoch 0: | | 15369/? [2:37:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 15370; scene = ['7860f8fb501c44e5', '5b5997d5f0ce5d59', 'c081c9bddcc3cc73', '0aaed15800682a1b', 'd6c5625f80389208', '5087895d3540a6ad', 'b9d45f6a27052a50', 'c732343e2378ffe1', '60987a40ad6c73d8', '1414e41b4c8f32e3', 'e799c5c0b4f26e3b', 'd848b9acbb7e79f0', 'b1e83960965e92a9', 'c78080cd764ce09a', '0c1b1ea787e6a5e5', 'ac5122b9a344d3be']; context = [[170, 217], [85, 129], [0, 36], [16, 66], [0, 44], [47, 81], [180, 227], [1, 51], [29, 64], [149, 194], [52, 90], [12, 52], [82, 120], [9, 54], [95, 139], [43, 78]]; loss = 0.011770 low_pass_filter = 0.300
+Epoch 0: | | 15379/? [2:37:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 15380; scene = ['640df76ceeee5757', '684090b9114f3aa1', 'e1dd6457f3165b1f', 'bd4ff15a9c811ad1', 'cff943ff40169064', 'ad4e193f353a8711', '71d5e4a63de69039', 'b14d792da4aaeaaf', 'b544fabd9660c1c4', '64619aa7bd88899d', 'b6aeac1bddf8da07', 'cc8480640599f9f3', '4937d2e5a298d69f', 'de1181d6c642e883', 'b877fceeed5942d8', '8049eef0ee607a97']; context = [[22, 64], [47, 84], [56, 100], [5, 50], [13, 52], [4, 37], [54, 92], [33, 78], [26, 69], [20, 61], [23, 72], [4, 44], [53, 89], [18, 65], [15, 54], [51, 87]]; loss = 0.012071 low_pass_filter = 0.300
+Epoch 0: | | 15389/? [2:37:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 15390; scene = ['15256ecdaf019629', '51b71d090b1b9a95', '1acbd6dc14eb0b2c', '756001ac4456cb40', '03194023f13fa529', 'a8bdfed1dca087ef', '6a8649c12f74db20', 'be414fc8a382334d', '17de26112944192a', 'e505e1426e248b71', '7b9b7003ec4e78a5', 'ef640b2f20e99e16', '8af368949983a521', '1f0fa5402763bb4e', 'adebe02303ab2e6c', '8e1d14eee9286097']; context = [[59, 94], [11, 52], [144, 178], [210, 253], [23, 68], [0, 38], [2, 43], [25, 58], [16, 64], [157, 194], [15, 64], [51, 97], [25, 65], [2, 53], [55, 88], [62, 108]]; loss = 0.010540 low_pass_filter = 0.300
+Epoch 0: | | 15399/? [2:37:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 15400; scene = ['7e39c1172230514f', 'fbd4913da8a907c2', '5504701fb8520818', '74e3e6de971edea1', '828399209d5ffc4f', '093704d9160df32d', 'f76b02964abe7d74', 'c9cc80abd6a058cc', 'd0949c78a764e278', '6519a2e146bec2a3', '6b3f97ae13e1f6c3', 'a5991c36cbc1e162', '51f52754331b5f78', '35f1351a55e2e95d', '1b0c7b2e662ade88', '4cbc8aa0b70db3bf']; context = [[148, 187], [123, 157], [14, 55], [15, 62], [26, 63], [157, 204], [40, 76], [3, 37], [3, 49], [15, 56], [73, 119], [27, 76], [1, 50], [35, 80], [19, 56], [13, 54]]; loss = 0.009482 low_pass_filter = 0.300
+Epoch 0: | | 15409/? [2:37:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 15410; scene = ['299df18f61e685c7', '0ba5c7641900eb58', '0eb569a5be0c965c', '034e4f9e2b30a3ca', '75f00f8813c7a3b1', '9087cdd4baa858d6', '470f6a9cdba0a1d5', 'd1fa4e26c8e5d32c', 'fb73c1c5f2889329', 'c0ac407355970e00', '954740f1e0accd65', 'db16e7d25a1aaf71', '1796cd953fcfd33f', 'f2af153a34cd6c91', 'ee06f74c9da200b8', 'a3e5e6b0475c232d']; context = [[74, 111], [27, 71], [67, 117], [179, 216], [165, 199], [16, 55], [117, 168], [46, 87], [33, 68], [61, 103], [111, 152], [27, 63], [1, 35], [44, 95], [11, 54], [32, 75]]; loss = 0.010622 low_pass_filter = 0.300
+Epoch 0: | | 15419/? [2:37:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 15420; scene = ['162d34cd96a0899d', '7256306ee88ff0a3', '414454ff64681a93', '1562917348b9dea3', '41640d448887e237', '1403da8c328f29d4', 'bba92b2f199e4e80', 'ed8132a90fd5cedd', '68c8385b0117500e', 'e2e41f7ed5d26706', '2e950239e5cfed50', '5c8fa4f3d00008cb', 'c347e54acd9d486d', '5dd3b8a0f8819027', '0be49b4ad5e9d5ea', '7c18789cd686cc8f']; context = [[147, 185], [57, 95], [51, 99], [6, 54], [17, 62], [227, 274], [171, 206], [25, 76], [62, 98], [165, 199], [18, 57], [67, 106], [59, 101], [20, 56], [16, 66], [32, 69]]; loss = 0.009833 low_pass_filter = 0.300
+Epoch 0: | | 15429/? [2:37:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 15430; scene = ['59051fbbf9b52e09', 'a16dfe2ead47a813', 'f82f3902beba630d', '160a8cd526273844', '856d6c28878d2055', '155931a346595728', '9d81335bc69b18f4', '146f891877f35000', '2c80d3d8e3d8bf97', 'b88db7960be465ab', '592c1eea73fa43a2', '9c248f0c3e94154d', '33adc68fe41da745', '359af2b0f4c26712', 'ba94402402fc0c58', 'ea34fe29b32d99f1']; context = [[8, 50], [13, 58], [75, 124], [22, 65], [28, 68], [126, 166], [102, 136], [14, 48], [83, 126], [166, 208], [24, 71], [42, 80], [36, 73], [46, 83], [51, 92], [132, 175]]; loss = 0.010553 low_pass_filter = 0.300
+Epoch 0: | | 15439/? [2:37:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 15440; scene = ['ad2f42792ff4e12b', '9d0fa815d5127e96', '9304b1e911c2829e', '4627387578523c1d', 'a2d53f4d478c56fd', 'a546829f49e50f99', '6fa131a2fa829df1', '4e90e8e0a2ab62d2', 'bf70ac416939f544', '0e11b0852a47d75b', 'c0d73e302fdb7a4e', 'bbcfab092d76f8e8', '7a1e1fd94e551593', 'ec183e6afc500071', 'c82a25e9661c7240', '31e82c62699474b9']; context = [[0, 35], [32, 70], [14, 49], [4, 50], [9, 47], [4, 54], [21, 59], [26, 63], [114, 147], [130, 163], [2, 42], [70, 104], [41, 89], [10, 48], [14, 61], [16, 64]]; loss = 0.010243 low_pass_filter = 0.300
+Epoch 0: | | 15449/? [2:37:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=29.20, train/active_min_children_step=4.0train step 15450; scene = ['030bd1218320c5e0', 'cacc3b4e30cf8a9c', '457920a30ea22f29', '7a68894ff54c6cf7', '3ba4b519345f6ac7', '2af9fdc846476fe8', 'a44e21cedb034916', '2d52cecbcb66add2', '33777b62b0df310a', '5611b3e906ee9f9d', 'ed34bd58ed8751db', '46a23441b43cc6b7', '32e250e3ac90c53b', 'dad2645e3acc1168', '798c6afb6d09dbc1', 'fefed76c496e574f']; context = [[75, 126], [73, 117], [0, 34], [26, 67], [226, 259], [50, 99], [14, 48], [9, 59], [22, 69], [19, 61], [22, 62], [28, 77], [52, 88], [197, 244], [82, 133], [0, 34]]; loss = 0.009273 low_pass_filter = 0.300
+Epoch 0: | | 15459/? [2:37:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 15460; scene = ['2f4b9ad15b9f24ac', 'c647cd99f6e90f2d', '8dfc793d813776e7', 'c7ff9ab69e5c8c4f', '2912b78036c7cf88', '1832762cb8cca06c', 'a7be8ac8c721114a', 'a2109ba7369c8661', 'f804e1cc0ac26412', '2dba350e829133a7', '12acc6a0ad6b2134', '4120e2ff13536836', '2964a16a969c61b2', 'ee147644fcde3496', 'f682d1c5b8431f46', 'bee292458a6d4570']; context = [[59, 109], [13, 48], [27, 68], [206, 244], [3, 43], [16, 66], [0, 39], [101, 143], [44, 88], [64, 98], [6, 49], [0, 38], [161, 212], [38, 88], [198, 241], [71, 105]]; loss = 0.009918 low_pass_filter = 0.300
+Epoch 0: | | 15469/? [2:38:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 15470; scene = ['c2a6826b4e13e5a7', 'cd27c675fce414ca', '2d03c73c305f51d3', '669850df6e386e8e', '402b7918575da6a6', 'ee0377f272672b8b', '386ab02cdb228dd8', '0ca6a01c751fb091', '8b029362353581d3', 'c3014424adc10c07', '7e54b2a98ef2fa85', '41e8dcaf7ef2bf68', 'b05e1497f499cfd2', 'f3177ab889fdfa01', '3d0b42f411e153b2', '3dcf1ca50193e3bd']; context = [[3, 36], [3, 36], [5, 53], [12, 60], [101, 152], [71, 119], [149, 191], [0, 35], [44, 90], [89, 135], [7, 52], [198, 239], [4, 55], [118, 161], [108, 143], [13, 54]]; loss = 0.011361 low_pass_filter = 0.300
+Epoch 0: | | 15479/? [2:38:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 15480; scene = ['4b558439c3094357', '3d75646077c13ab1', '116fc4e6b30185de', '4a06a35720fd46b8', 'c27206d098fe6546', 'dd73a0c07b63406c', '8944e2d266a03dc8', '0bf49ed081b75fb5', 'c647a0fa8d97eb8a', '09b5abace1293176', '6090fcf28a1a3a43', 'e46bfc605bc405f1', 'f7805054a28b6ed8', '4ef090a0a136fa10', '4b9ed7532c875dab', '79e76f940b648264']; context = [[13, 47], [38, 71], [69, 102], [143, 179], [16, 64], [62, 100], [14, 49], [10, 46], [8, 53], [77, 113], [209, 248], [50, 85], [38, 85], [84, 119], [181, 220], [38, 81]]; loss = 0.008819 low_pass_filter = 0.300
+Epoch 0: | | 15489/? [2:38:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 15490; scene = ['c28024f75eaa554e', '53c77665634fe060', '680d4124176c3dad', '638b13dd051d87c1', 'dd65f639eba32074', '914a03c1ab2da7bb', '62014d7e1c6de23a', '247ae10c0370568c', '6f53846229e4d5a4', '1457d36ebeb725fc', 'ab4aef17418308cc', '98e625c8549cc4f7', '034a1f45d506268a', '53816b879437b432', '4974d2898597691e', '100e901f7029d4fe']; context = [[34, 80], [71, 119], [2, 51], [86, 131], [75, 113], [16, 66], [173, 222], [3, 53], [57, 108], [212, 263], [8, 41], [102, 147], [3, 49], [13, 61], [137, 188], [1, 37]]; loss = 0.010279 low_pass_filter = 0.300
+Epoch 0: | | 15499/? [2:38:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 15500; scene = ['824d9b0d6b801096', '360fb277b32a0fea', 'e0c06d9954d16a41', 'd56cf1bb0dfd5d92', 'c24e64f5e8aff40d', '7ff6b913db3bea5c', '230fbab2e597be11', 'a122c1228022e3ca', '54e69836e875f8ac', '40a45b91d5f5e533', '459ae388f8b6cf56', '05ec6a8aa6630928', '0800911f12284372', '06445de8291a6bdf', 'e933e39642413c83', 'de137f51846c63b6']; context = [[54, 94], [190, 237], [1, 34], [53, 95], [168, 204], [26, 71], [38, 73], [32, 72], [148, 193], [23, 57], [191, 226], [194, 234], [5, 41], [15, 52], [44, 86], [23, 61]]; loss = 0.009588 low_pass_filter = 0.300
+Epoch 0: | | 15509/? [2:38:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 15510; scene = ['8c338ffc0f63d256', '464b39207f6edea6', '0d64103186aa5b50', '065253fc4e00d30c', 'd78f25c6b105edd3', 'ef461087323ae170', '8b2d76f9df651fc6', 'b8974ce42f6d52bc', '5de8190e37e23459', 'f1c1bb1ee6d4c97d', '0c16bfd1cc432c9c', '322426f484cbd0ce', 'ed67e326199a5cae', '8c035759dce975d6', 'b4d99586fe24950f', 'd402be368f70797b']; context = [[36, 80], [214, 247], [21, 56], [11, 55], [13, 53], [31, 68], [19, 54], [149, 192], [130, 164], [10, 59], [8, 57], [8, 43], [7, 58], [85, 126], [180, 216], [101, 152]]; loss = 0.009034 low_pass_filter = 0.300
+Epoch 0: | | 15519/? [2:38:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 15520; scene = ['7159e040bb4a1617', '2a92f857a0af6e4e', '299b743eaf266969', '356b98ea4de24f44', 'dffc33139384124f', 'c28fdeb0046c50f5', '1af152530e6445e3', '4d45a366bcfb2824', 'ad8ade2ca4c3cd7e', 'fa8b2ee0f22990e3', 'f3d5fa05b2ee8b01', '2ac5b4fb1ff0cb07', '9808d034c6fe86e2', 'a89ab21f1556eba1', '99a2ea0f961156c2', '6dffc7fe830bbe27']; context = [[24, 65], [17, 55], [16, 61], [7, 42], [110, 149], [19, 53], [42, 75], [17, 60], [224, 259], [68, 113], [69, 114], [1, 38], [7, 58], [141, 190], [55, 103], [21, 70]]; loss = 0.011524 low_pass_filter = 0.300
+Epoch 0: | | 15529/? [2:38:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 15530; scene = ['7674a792dc7d4813', '9805373c2288a1dd', 'ee3298a5cd65a31e', '0845841350913fc1', '7ad3231c24e827b9', '3f80d145e396a258', '7a01f2fd6c6a119a', '1401a2ebe30f8654', '82c480b92e7f291d', '4a20c466e50b402b', '2de9f3585e79aac0', 'ce25ac41ba703fe3', 'd312969570f038a7', 'a3374e65e7ab2960', 'b402605edf8cf6a1', '5ab36cfc1904db97']; context = [[8, 52], [23, 73], [12, 60], [100, 138], [112, 154], [71, 106], [85, 123], [23, 68], [68, 116], [7, 57], [23, 73], [28, 63], [104, 139], [18, 54], [5, 45], [197, 234]]; loss = 0.010631 low_pass_filter = 0.300
+Epoch 0: | | 15539/? [2:38:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 15540; scene = ['4d81bb017abfd365', 'b4598653ccfd0f54', '90f1b2ef803358d1', 'a88e6437ab1b4369', '820299d31eaed2b2', '55ae1e73f52a00a7', '12c95526a738c719', '1c5ea1ec854c472f', 'd6a97f5d2988757e', '3cff75a214377cfb', 'f8b0f3569f34e541', 'e141faefbd36799a', '1d2345a0eb0edf4e', 'e4a6c17773949334', '7951d4e068da5808', 'c3d654a6b7504b0b']; context = [[31, 80], [40, 80], [207, 253], [0, 34], [0, 40], [64, 112], [2, 36], [111, 151], [132, 166], [202, 244], [68, 109], [92, 126], [28, 69], [26, 75], [99, 137], [60, 104]]; loss = 0.011848 low_pass_filter = 0.300
+Epoch 0: | | 15549/? [2:38:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 15550; scene = ['417a1b0f11a38cb6', '9d87291c4517b496', '5014fb135ed72420', '8ac154751b6b5d23', '61e12c1cbc989d8d', '7ed85889128d8edc', '0d00b18b284e51e2', '152bfa6dd2ed2d91', 'df87424ea7d30296', 'c3a524b4d053b421', '93d6fe08c5fe3965', 'c119ecc8f4393c06', '9af1d032591b57af', '7419ce7f5cb808ee', '66f718b2953961d4', '0246dfe96b27b4ce']; context = [[212, 260], [91, 140], [139, 183], [69, 114], [24, 62], [16, 49], [128, 172], [15, 66], [43, 94], [27, 78], [0, 41], [2, 48], [62, 97], [65, 101], [96, 143], [44, 94]]; loss = 0.008982 low_pass_filter = 0.300
+Epoch 0: | | 15559/? [2:38:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 15560; scene = ['24afdaf557163887', 'a61bf175ff0c558c', '0784b8d4f7f9bfa3', 'bc787d93d069b4e8', 'aae61e6589b8e3e5', '8e30d1edd7e8519f', '584ec590c61d0ff4', 'fa4cf258c22e3ea5', '064ba7c987abafd2', '121c1244b78f5ae9', 'f02c031979b429f4', '8e1ceae5a39fc47c', '0a371400a6eda9d6', '2edc486cc51c35ea', '57859a70dfbd78d4', '0ce35beba18e98c5']; context = [[30, 68], [100, 135], [128, 166], [7, 49], [3, 44], [34, 69], [37, 76], [9, 59], [55, 97], [39, 89], [22, 68], [19, 53], [10, 60], [8, 49], [146, 195], [13, 48]]; loss = 0.008675 low_pass_filter = 0.300
+Epoch 0: | | 15569/? [2:39:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 15570; scene = ['020f438641a03015', 'e461d2ed6a501cd5', 'eb1d9b967ffba68e', '784844653a9eda83', 'a59dc16c6fa70e09', '513a12aeb585199b', 'd9e96e2b5b31e9c9', '05da3b30242484e5', '34528b0d18d84da0', 'fbc5036fb7f22807', 'a6b152d906ff93cf', '5932e0e2376c15e0', '570b7d81a8e5816a', '0d145cdbd83b3184', '7071b77237833c65', '910d55e2a4c79d16']; context = [[31, 73], [79, 113], [3, 54], [55, 103], [50, 92], [8, 55], [21, 54], [7, 52], [26, 68], [35, 71], [98, 137], [53, 88], [38, 85], [37, 78], [3, 38], [153, 200]]; loss = 0.009620 low_pass_filter = 0.300
+Epoch 0: | | 15579/? [2:39:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 15580; scene = ['8743d6f5a3c7d7d4', '1832ee4a98c400fa', '0e431041305e5bf8', '78549c211ed0592a', 'fcf4c93bd50c4f2b', '06e5dbf49d6375ca', '3181deb623385396', '75cb48a4c8049279', '3e7a68178efa113a', '2fb42c372e8039f7', '8eefc5250095af5e', '16a6225598708d12', 'ab81540435e624af', '7fa3478bcc7f7267', '2f38640c40521949', '4163aae5c14c2259']; context = [[59, 110], [107, 150], [20, 69], [115, 166], [40, 88], [5, 39], [59, 106], [24, 71], [78, 120], [65, 107], [59, 106], [7, 52], [30, 68], [19, 58], [11, 47], [0, 47]]; loss = 0.011525 low_pass_filter = 0.300
+Epoch 0: | | 15589/? [2:39:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 15590; scene = ['9b6a57a6ff02dd12', '577c560e66207737', '8318c0eb37a154a4', '8568c60d6f777386', '412804362c1bce61', '4bd13783695ed549', 'b9b418fb1cb8b12d', '1ce140bd016b2813', 'af05e9f84b56ad4b', '0880f556a19d07f5', '641310a2d9c88eab', 'ec5be7aa42eaa9b0', '404cd10c9173fd1d', 'cb710e31defb94b4', '251ae194af7da941', 'bd43b98348b9eae0']; context = [[4, 55], [0, 33], [30, 71], [167, 207], [11, 56], [31, 67], [23, 64], [46, 90], [194, 235], [170, 220], [24, 73], [202, 237], [44, 83], [97, 134], [8, 49], [46, 96]]; loss = 0.010721 low_pass_filter = 0.300
+Epoch 0: | | 15599/? [2:39:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 15600; scene = ['045a00b4448730ad', '7adf869eb170f616', '57c0f11046ecaace', '258d0991293a33d8', '525fe1b5f060ee0a', '6405e2d406e1b757', '562f4e6ffc1fa73a', '59afe8faa2f0f8fb', '4b9331dd72ca018e', '43cba52b80f1a32d', '534ccdcfb6aa0d89', 'b339af8ae4be1558', '5ceeb5c81e19c07a', '8f51f8b6290e8f6a', '765072fe8bbb37d9', 'f77f3694a3684e13']; context = [[9, 46], [11, 46], [28, 74], [16, 55], [10, 57], [127, 162], [118, 163], [57, 98], [28, 62], [132, 183], [114, 147], [85, 133], [89, 128], [135, 170], [25, 61], [22, 64]]; loss = 0.016835 low_pass_filter = 0.300
+Epoch 0: | | 15609/? [2:39:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 15610; scene = ['2a3cd50ab76ae202', 'c99ebaa0555a7955', 'defd0d8f19b0a08c', 'e0698b31d9918c54', 'c9f6bfaec51028db', '15ea13de45382666', 'eeb48c7ba92e3e36', 'b3b45ff1b4002fc7', 'def88f4446e088ca', '53f468f8b9c2ea20', '83e93a8efadd5629', '089cd75a075b8808', '9a00dd7d0e69b57a', 'b25b63d8a5e5ce25', 'b9d53ceaf20bc6e3', '9e0aee54a72d5c8a']; context = [[2, 51], [75, 116], [64, 103], [35, 81], [216, 263], [131, 164], [7, 47], [1, 44], [39, 88], [9, 47], [41, 74], [30, 80], [47, 80], [2, 37], [3, 37], [0, 46]]; loss = 0.010217 low_pass_filter = 0.300
+Epoch 0: | | 15619/? [2:39:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 15620; scene = ['9b1512f328b4450f', '57619c7c9351d848', 'd2b2042b2e6b74ed', 'f3072e703636a2c7', '1f7447faa4714980', '8e5527062b4f2c23', '3813412122be551d', 'c7533d969421eabf', '8099a24d802a278d', '5eff6d0d581c8fb4', 'db176a808671c27f', '88d76ec515558fcd', '692b896991d89a54', 'daaf2bb9684ce136', '3f804a27d3921230', 'f92fc931ecf41163']; context = [[50, 96], [40, 90], [3, 38], [41, 84], [98, 140], [14, 55], [79, 124], [21, 55], [103, 147], [41, 75], [65, 108], [52, 90], [7, 57], [127, 163], [144, 177], [31, 70]]; loss = 0.009184 low_pass_filter = 0.300
+Epoch 0: | | 15629/? [2:39:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 15630; scene = ['07486563a4a6767e', '0f541eb9c47f2749', '3e228d07ae6f8c54', '9846f3379c2b8fad', 'd94eba604f88e9c3', '882182e89dd66eed', 'ff004771e31d89f2', '8b51e270df0c9284', '3c2c6247ba2354fc', '0728256e1cc24f2c', 'cc64c0f4b6918914', '215eb0b87decb587', 'd7adc331c74563b7', '1fb9683df0428231', '486b548dfacda9fa', '75b018db77600c92']; context = [[91, 128], [7, 41], [0, 38], [23, 74], [72, 105], [22, 70], [4, 37], [13, 52], [9, 56], [27, 70], [81, 121], [19, 56], [95, 144], [31, 78], [11, 63], [17, 66]]; loss = 0.010556 low_pass_filter = 0.300
+Epoch 0: | | 15639/? [2:39:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 15640; scene = ['2437ee5f02184c6d', 'c6d6e4afbfc319bb', 'd6443c4840318df3', '77e8ec64a7434643', '89b74454e7eddf45', 'bfc0d31e9c828e4c', 'de4f11e84313cbaa', 'aa9ebfca382e6f15', '222ef9ba2f4b2abb', '01ec2ce3367f411f', '66a853c95cdd96a4', '0b718aacf2ced2b6', '75407a58e5087d22', 'a75d465bcee1386b', '4f640c7c51e4ae6b', 'd8f07d36280784a2']; context = [[2, 35], [36, 70], [9, 59], [0, 44], [8, 50], [182, 220], [59, 103], [6, 55], [69, 110], [17, 62], [72, 116], [38, 80], [3, 41], [1, 35], [22, 67], [43, 83]]; loss = 0.009121 low_pass_filter = 0.300
+Epoch 0: | | 15649/? [2:39:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 15650; scene = ['045578e7f6e44c6b', 'dfb061f20fc8514d', '9f97ffb17cabb0f5', '0b6a05518f22f588', 'efc96d858a68abbf', 'a7bb034467f46e0d', '27e447609b6ec782', '066e63a6755acf80', '3c5242b434fdef8a', '0ec6f123efb145d8', '0badb8c0dfa8d328', '87e825ae30a124de', 'b62bfc8b7c12625e', '2cfc0d81293f8b81', '9453fa28dfd12dfa', '5d02873ad626d986']; context = [[38, 90], [45, 93], [174, 215], [9, 49], [14, 48], [124, 164], [19, 68], [17, 60], [102, 149], [83, 133], [143, 187], [151, 195], [99, 141], [27, 78], [16, 60], [55, 89]]; loss = 0.011125 low_pass_filter = 0.300
+Epoch 0: | | 15659/? [2:39:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 15660; scene = ['627d8b1a65c08482', '810f5259de1dcd97', '3d1b5179f6509fee', '4d0c3fee830fa3b8', '9e409d0392d4f763', '387b69e395b27574', 'e4f49bede305510e', '43ffa708c75c05b3', 'dd06e9116d7be16e', 'dc48fb4d76502068', '9a177d5e00f6c9a0', 'e60e83f6a5038716', '9988a33ae078c5ab', '0664d28ff022567f', 'c98d6a4285ef869f', '32c01e25cd9ebe0a']; context = [[79, 115], [40, 85], [3, 51], [23, 73], [200, 235], [51, 97], [41, 81], [50, 88], [54, 103], [18, 57], [169, 219], [14, 61], [88, 121], [16, 67], [0, 52], [7, 54]]; loss = 0.009202 low_pass_filter = 0.300
+Epoch 0: | | 15669/? [2:40:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 15670; scene = ['adf6f584f6b81a71', '73e25c85530d3add', '4615c8c9f285bfee', 'c500094ffc2ab45f', '4651d4c3b87caf3a', '0ae58df051e6e444', '0820210cf29ef425', 'dccf91e2bca52097', '2de3d943aa0bf9e4', '6d71b3b243c17a2a', '267723fe1f811072', 'afb2780ec2449b62', 'e88232bf59271bc5', '98d868340d6c40cd', '03e8f213357b9616', 'cee9068dad0a241f']; context = [[143, 177], [62, 98], [17, 61], [55, 105], [0, 40], [52, 94], [2, 40], [140, 175], [51, 100], [127, 178], [4, 43], [0, 52], [130, 170], [26, 64], [10, 59], [58, 103]]; loss = 0.008726 low_pass_filter = 0.300
+Epoch 0: | | 15679/? [2:40:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 15680; scene = ['9837661a38ea63e5', 'e9d11d18a0abff33', '23132b7df2da8457', '69b8747c662bc454', 'eed1f22c71b845b1', '92362c407ae31300', 'f6ec5537c276e88d', '51b622049a721290', '063dc505e73135af', '9de7790c7be4dc5b', '592f02d9a81deedc', '2cbca2c38b796af8', 'c01ce746e8786ee6', '67f5335d95ac7bbf', 'f7244012cfb7173a', '4ef6254d4a4b8886']; context = [[30, 64], [45, 96], [155, 202], [24, 66], [59, 99], [7, 52], [1, 38], [38, 79], [20, 68], [23, 70], [12, 46], [45, 80], [41, 84], [223, 260], [0, 52], [69, 109]]; loss = 0.010367 low_pass_filter = 0.300
+Epoch 0: | | 15689/? [2:40:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 15690; scene = ['6772bbf66ea84c2e', '24e2d1df4ded73d6', 'a7f4634cdbb5bd73', '133df6db7dd9dab1', '885672bd54db44a3', '3308f38305b81cbe', 'cb1ab7efea5b0b3c', 'c77423c3ad02ee63', 'f5b005cd4438e2c6', 'cf26b918eb1d935d', '2572d5318c4a894c', '47998e79ea520baf', '87a283e357cece3f', 'd1ab1dff073d6d37', '203636cf0b2f7d99', '4d873311d7febb22']; context = [[25, 65], [2, 44], [85, 129], [168, 213], [87, 125], [102, 146], [26, 74], [19, 64], [18, 67], [57, 102], [1, 53], [27, 66], [1, 46], [69, 117], [12, 54], [7, 51]]; loss = 0.009395 low_pass_filter = 0.300
+Epoch 0: | | 15699/? [2:40:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 15700; scene = ['d4b69051df78f431', '77f590d17dc1650c', '0a6cec37175b38a3', '7858fe677913814a', '2b15d2104d444b68', 'b31aaf00447c4ebf', 'c99aa7df2058b71d', '8886cbb535544844', '55428a720f942c57', '4a9f884be62db548', '644a9f3df2f15167', '1e6ac7ff278da5ea', '8bf7a3026e68f0a1', 'cc64e4850a717e39', '5fedfd178c00aebc', '77cc3f3a320b57a2']; context = [[219, 254], [32, 69], [20, 64], [0, 34], [52, 98], [36, 79], [6, 45], [31, 74], [0, 47], [176, 223], [8, 57], [162, 202], [119, 159], [18, 62], [41, 84], [37, 70]]; loss = 0.008657 low_pass_filter = 0.300
+Epoch 0: | | 15709/? [2:40:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 15710; scene = ['dd5cc7120648a275', '50bc6fc9fe828039', 'e55fc688b34e198b', '07db10e08f44575c', 'ecb34e3502829299', '026b2018d1a368b4', 'fffb42151ab2e284', 'e762c9f70e3db83e', '9d4fc2fa0f094cce', 'ec281daa9b16da44', 'ae0fe2e4c42b40b4', '1909a0ae859eadae', 'f79bd22508670c3c', '1fc68db949b1305e', '8d33d96639017dfb', '011dbae1fc189e93']; context = [[23, 58], [94, 145], [78, 123], [132, 183], [206, 249], [102, 144], [3, 46], [1, 35], [11, 58], [8, 60], [147, 190], [15, 62], [41, 91], [117, 152], [0, 41], [17, 50]]; loss = 0.011924 low_pass_filter = 0.300
+Epoch 0: | | 15719/? [2:40:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 15720; scene = ['39de2c74747ce67a', '37cc00c2e4737bad', '56de1091c01be96c', '347d7c1f3516f732', '209aaf944169c4b6', 'b583f64a01c212f2', '2dd4348bf334f7f7', 'b3f2183a0220f98e', 'd6fefe45e58fa3d9', '556c98e247270631', 'ff8f49bdb17e5050', 'cc966a9b2af2232f', '616d045c5963ecb2', 'dac88abfc46437c8', '9ce909d08d97390a', '8181f645b467863e']; context = [[9, 60], [14, 60], [6, 47], [69, 103], [46, 98], [48, 81], [55, 100], [21, 54], [100, 135], [47, 87], [4, 42], [127, 165], [40, 90], [59, 96], [73, 111], [59, 96]]; loss = 0.009860 low_pass_filter = 0.300
+Epoch 0: | | 15729/? [2:40:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 15730; scene = ['230cbeb79d01d4db', '6df350016bf650c7', '6b495ce9634d2fbb', '9ebd3a2bb6da391f', 'a4db4f86a3f6a3c9', '8135ed07e9e2e03c', 'db02cd4ba6a027da', 'fb45a86f6154e126', '02df066d7f46a16f', '9f1812584f956d1e', 'ffcd77dedeef5a79', 'c21477e7fb261749', '46ccfa19387927bc', '8ad5353c9d5ba782', '1fb2d9386803d4f3', '7ccf510b7dc89bae']; context = [[25, 76], [19, 71], [71, 119], [28, 69], [60, 108], [0, 41], [27, 66], [5, 51], [115, 150], [10, 54], [45, 82], [0, 35], [16, 53], [149, 190], [25, 67], [152, 187]]; loss = 0.013174 low_pass_filter = 0.300
+Epoch 0: | | 15739/? [2:40:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 15740; scene = ['dfe3cbe9ca43aea3', '45ebdd9175b3ce86', 'b1c3a59a1ab3a0bc', '51d9f2a11e49c9f7', '4b6c22c6b4bfc460', 'd1f2f6605b45e92e', '97922c05a252718c', 'ead8948883bfe2c4', '5265d863c34ec86a', '020b1d941cb8e03a', 'a9c850ff04f98a7b', '5d7e595f3cec8776', '3e1861f4f3b18e2b', 'd7324cfb14443dc8', '9b49446e9c10131b', '4cd8e871503e9784']; context = [[201, 249], [40, 77], [13, 48], [74, 113], [125, 163], [94, 130], [84, 117], [10, 48], [36, 83], [28, 80], [34, 74], [75, 111], [105, 148], [102, 137], [97, 149], [15, 49]]; loss = 0.011081 low_pass_filter = 0.300
+Epoch 0: | | 15749/? [2:40:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 15750; scene = ['ac5f32ad7fddf673', 'd71386474224c9dc', '7392304374659efc', '167b3ac16e642dac', 'f0f12c1c465e21e5', 'd9b2177e1999aa88', '72fe0395095d3abb', '13a1b330d7a46e0f', '8194a8208ffbdeb0', '4fdab020b0b1455f', '28fbb291c0ee869b', '9adb745c741c85e0', '15cd69baed84dc6e', '357c34539592a013', '482411a57b1a83f0', '2bf2d66d87db5178']; context = [[25, 68], [40, 77], [20, 63], [102, 147], [79, 118], [183, 233], [21, 71], [168, 216], [22, 60], [5, 43], [37, 79], [79, 116], [176, 211], [101, 138], [12, 56], [119, 153]]; loss = 0.010802 low_pass_filter = 0.300
+Epoch 0: | | 15759/? [2:40:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 15760; scene = ['54627c21e596981e', 'f91c62cbc0f2b02c', 'ac7dc6792b6062ba', '582b5253fe22067f', 'c3e2fbc921ed136d', '08720bf6d19825c6', '82347d56a4a55c27', 'fee08c59f9bf59f8', '263c8f62a1f40965', '19f950b6900d6176', '6fcb6588a79e44d1', 'ec1090f15ec68a1e', 'eb54a14f301214c4', '06beb74df9f499ab', '579a16674dbb8aad', '3e4608ca989fdf39']; context = [[181, 229], [5, 48], [77, 119], [12, 45], [42, 94], [0, 33], [130, 168], [13, 47], [15, 50], [146, 188], [121, 173], [13, 65], [17, 53], [11, 59], [115, 159], [14, 50]]; loss = 0.010576 low_pass_filter = 0.300
+Epoch 0: | | 15769/? [2:41:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 15770; scene = ['8d2c59bdb9014369', '6673eddee4bd795c', 'a8e32ae1b20ebcb3', '4a57afd9752e1bad', '2cdce95840a44fc3', '71c5ee090c757584', '10bd859ba72ecad3', 'ff9938339d5ad4fb', 'cd6bf9e3944d6789', '9e863a36ee9115ad', 'bb8a8b403f8a23c3', '5264f09e7e3f043d', 'ff03b01a47b02fa4', 'd396881ee4c975c5', '91641f310eabb26c', '94f14e83af2e84d6']; context = [[141, 185], [58, 105], [14, 57], [123, 158], [39, 75], [146, 190], [61, 95], [1, 51], [28, 64], [104, 145], [54, 98], [91, 141], [30, 66], [1, 41], [30, 68], [157, 207]]; loss = 0.010588 low_pass_filter = 0.300
+Epoch 0: | | 15779/? [2:41:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 15780; scene = ['d4b86af5ba8abf8f', 'e1b044176586f8cb', '2d9d2b3d1a7fb3ed', '1f268c1c41e9163b', '00e0fd7343aab586', '2133828ac8c5d46b', '5d7b4876fcc0084e', 'ffac01816b4f0f08', '283963dccb852f84', '9346423fdfeb4f9c', 'bd2cdd0dd1240f74', '8fb8f7489488f95e', 'c579294a2271154e', '9e1fe1ef4c790152', 'b95185f28371e386', '89e12b43d22bb95d']; context = [[103, 141], [1, 37], [14, 51], [9, 55], [104, 149], [62, 95], [22, 67], [55, 96], [13, 63], [13, 61], [65, 102], [169, 220], [38, 84], [24, 63], [13, 64], [55, 89]]; loss = 0.012406 low_pass_filter = 0.300
+Epoch 0: | | 15789/? [2:41:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 15790; scene = ['3dea1f0782724e2b', '7eaa23d04951ffe6', '7e9532ad39a6f4af', 'c77420b51c2e86d5', '0713aabe3917739d', '3c4c974cb4c99ec8', '319f501207f10fa4', '21cdb061965f9b4b', '6b8d61bb315de80a', 'a812f58a9b8d7199', '4730e386adb917c2', '635f9dbac22cb932', 'f0ecfa6adc842a59', '54492a0ed1a54bcb', '86ef5385cdeaec8a', 'd1c051ae4be20ec4']; context = [[17, 54], [39, 86], [20, 72], [28, 73], [36, 75], [22, 55], [47, 89], [2, 49], [33, 66], [105, 145], [5, 48], [25, 73], [6, 52], [111, 144], [18, 62], [16, 57]]; loss = 0.013134 low_pass_filter = 0.300
+Epoch 0: | | 15799/? [2:41:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 15800; scene = ['8f1aa461b4aa2287', '86e2391acd797f54', 'b7006bcf65234db8', '26d86239357fd6d1', '3a6ad27ec85f4a92', '92ab77a4c94e9884', '2c04b0f76743f0d7', '0b9ed52adb641450', '60d0e9b03889c72f', '59f044f15cfc9069', 'e6b1a3dd0e2943aa', 'fb325f19b7f264c3', '9a230b6fc69395e8', 'f432c05bc39949ac', 'e836296ed7a0fdf0', '1f5c35a7d319ab0b']; context = [[17, 60], [173, 211], [37, 82], [65, 109], [34, 79], [159, 202], [13, 48], [52, 93], [3, 54], [203, 240], [3, 51], [3, 42], [27, 76], [1, 36], [25, 65], [197, 240]]; loss = 0.012149 low_pass_filter = 0.300
+Epoch 0: | | 15809/? [2:41:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 15810; scene = ['d5cdc2e583d5b467', 'd4f453d8e4142691', '644800f97a604700', 'f4cc5be3eb218af5', '698222b8a31af80e', 'a0a668abdcf39b4b', 'e57879df5ac7495d', 'b2a6eb70de2ff1fb', 'ce892b6512829e44', '30d76af0e3ee8dfe', 'e19c6facac1c9624', 'b8ce556583bf4ea0', '13438083c0db8515', '21ff605ea895dacd', 'f92103729509cb02', 'b979ca290a8a2951']; context = [[61, 110], [25, 63], [68, 111], [47, 87], [126, 167], [4, 50], [111, 149], [121, 155], [0, 33], [127, 177], [130, 182], [32, 71], [62, 99], [21, 64], [9, 42], [158, 204]]; loss = 0.009668 low_pass_filter = 0.300
+Epoch 0: | | 15819/? [2:41:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 15820; scene = ['89a0f0553f7f2bdb', '82ccd88cc5bf3f8d', 'caa046f2d8a89f48', '11d03c85eb29a783', '652f860523c0d63b', 'da1ec5bea0dee3d1', '22a76d98bd2d748e', '1aa7e75df75e56df', '794b1f61bb53511e', '031747e0c810d3a9', '7cd094b7d8f5bfd9', 'f60fed9fc3631f3d', '340803fbb79f0221', '4cd943599530cb7d', '099bb96a791d9e52', '1f627e533763046c']; context = [[134, 181], [25, 68], [144, 190], [32, 74], [77, 112], [30, 81], [100, 139], [181, 220], [26, 68], [19, 61], [53, 102], [207, 241], [105, 153], [43, 94], [100, 134], [24, 65]]; loss = 0.010532 low_pass_filter = 0.300
+Epoch 0: | | 15829/? [2:41:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 15830; scene = ['3e648c40cea30c08', 'c79896b4ed843482', '1fdf3f2fbffeacee', '40801df8576367af', 'a5de552e69fbce79', '07c83bb5515085c3', '9bb61a9d88d791f9', '2544ca0eb789f211', '125b8d9c4d67f6c5', '891803d5398b2265', 'efd2e6e6ed5904ae', '14e5c1a9d0604d37', 'bd624da49f0d72a5', 'e3bf238bbde4f6fc', '7a6869cb55388541', '70a833fc4f7bfcf4']; context = [[89, 125], [27, 79], [221, 264], [41, 79], [81, 120], [30, 75], [126, 177], [23, 66], [175, 226], [5, 54], [49, 100], [21, 61], [168, 212], [20, 68], [78, 114], [55, 96]]; loss = 0.014303 low_pass_filter = 0.300
+Epoch 0: | | 15839/? [2:41:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 15840; scene = ['11b21930ecad92d1', '88251d3dbf8b43aa', 'f91702f19351f9da', '496e6fc19c13a4bd', '0da44313ec309d22', '5d609018a4b47ad6', '3617646b6a1ba79c', 'bc45ffbcb07787ba', 'bd2c28a3a0be7418', '33843561ee71f057', '3b6aef604e395897', '060720e8ae94caf3', 'bc7da523a17145bd', '3ba071cad1d8193a', '224b6ba31f81d3d3', '70cd7845fc34f016']; context = [[0, 44], [7, 56], [15, 64], [0, 46], [143, 189], [48, 83], [160, 210], [11, 47], [2, 47], [43, 76], [3, 52], [15, 60], [143, 189], [21, 62], [37, 88], [133, 182]]; loss = 0.010968 low_pass_filter = 0.300
+Epoch 0: | | 15849/? [2:41:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 15850; scene = ['b25f2eb5c85716ad', '381998f0ac7badf1', '66761b9ba50563c2', '6c749a0d38f10dc0', 'a2a595d1841e657b', '90f1b40599b6c2c1', 'c14419e33d30959c', '44cd0f7c658cb252', '58adb59cfe7b51c4', 'e72032e8935bae10', '9c7b21689855c57a', '7dbe01d447572e2e', '6c8afce58a414579', '7bec1fe1236ba09c', 'a70416aac11a6d6a', '90b386235765d7e1']; context = [[67, 114], [126, 163], [74, 109], [25, 74], [3, 44], [84, 117], [47, 98], [55, 104], [1, 42], [61, 112], [37, 84], [70, 108], [8, 56], [34, 80], [36, 86], [81, 125]]; loss = 0.010469 low_pass_filter = 0.300
+Epoch 0: | | 15859/? [2:41:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 15860; scene = ['9525a072309439fa', '45f1e692a489735e', 'fac2c72daf724143', 'd6b7a7a9b3091886', 'e1a753667915e16a', 'f057b6113f2f4e6f', 'c390ed5cdfce1076', 'c99563873d943d5c', 'c363f4b694a2c012', 'f4df65cad56a10b8', '6c7342092714b3f3', '8bc03c01a2bf1cac', 'f833af59fc33c0d1', '014c6e9ee172a613', '85c6ed769781a2c7', '20d8f725ca43a225']; context = [[207, 253], [68, 116], [104, 151], [92, 136], [25, 62], [10, 46], [1, 34], [55, 103], [120, 169], [20, 72], [89, 125], [29, 63], [40, 83], [69, 121], [26, 62], [10, 50]]; loss = 0.009247 low_pass_filter = 0.300
+Epoch 0: | | 15869/? [2:42:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 15870; scene = ['8aa5ccddbcba09de', 'a0323e6cfefa3aab', 'c6fa11aa48b3c933', 'a7b6de0edf8b5430', 'bbca804a517e6761', 'c665a1d73ca58dd8', '8e0a13fe11111b79', '7e9f7d67297a7768', '314b6d851322d367', '413785b53d3a3df5', '8e2788fb59297024', 'd5dda4ecdcb8bf7b', '7957817c01b74355', 'b59e7acf1e36fb78', 'f474a94441893d23', '8fdc497d1fbe893e']; context = [[2, 41], [9, 60], [10, 58], [82, 133], [128, 166], [45, 91], [38, 81], [14, 55], [6, 42], [46, 97], [30, 82], [37, 70], [35, 75], [17, 67], [8, 57], [39, 85]]; loss = 0.010653 low_pass_filter = 0.300
+Epoch 0: | | 15879/? [2:42:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 15880; scene = ['26944b37c513e89d', '2a113c6c2cc84df4', '23e97fd6b2865b82', '8f79259ea97e3978', 'e4154d0f6d9119e4', 'dc2ba641e3e2836d', 'e5982d41ac4b91de', '9c715fc7130e0184', '0889ef3ac98ca05b', '8069eabd958650df', '5c4e9cce07e2d371', '17071d654501dff2', 'd7e5e7068523724b', '743fd8885643d3aa', '9b663c4f43cd593a', '6b54e3dd731cf914']; context = [[6, 41], [28, 65], [37, 74], [20, 61], [24, 68], [32, 75], [29, 77], [23, 72], [25, 75], [8, 50], [64, 107], [98, 133], [150, 189], [11, 57], [33, 73], [49, 95]]; loss = 0.009086 low_pass_filter = 0.300
+Epoch 0: | | 15889/? [2:42:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 15890; scene = ['b54a253c34d3abc5', '6b8ac78e56a79da5', '357c89f4ad959174', 'd910d05a6cd0ffe8', 'a068b86d9b5390ef', '3082878a65ef500f', 'de20b01be1d8c09d', '87ae4812a3561fc2', '95de3fd23a9781fa', '2b5827ae7ea29a23', '92eb19ba377c51b1', 'd4e2a25798b8bd8c', '2605fa738da22f6b', 'c69dafa3925513e6', 'bb257de5acd70846', '5e7fb96b9b2254db']; context = [[54, 95], [85, 120], [198, 246], [14, 50], [192, 228], [16, 49], [186, 238], [11, 50], [36, 74], [8, 55], [0, 40], [74, 125], [95, 141], [31, 76], [24, 66], [144, 177]]; loss = 0.009958 low_pass_filter = 0.300
+Epoch 0: | | 15899/? [2:42:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 15900; scene = ['75d5c9bbea9d14d4', '2ba4f2b510634c96', '331108af4b30ad2e', 'fac649a98e1b40d0', '146061cae31b2eed', 'a507532d84d52eac', '56de6aba69f7562c', 'eb09c354c7506b21', '169413e8a42fb4b9', '10f56b77ee96005d', 'ec381df8f0ee69ee', '6e12dc992024cf88', 'fca0eab1caf12b55', 'b51de1745d3267b0', '7307cfcf9d01b573', '1bb610e8f990038a']; context = [[39, 72], [56, 89], [9, 43], [11, 53], [61, 94], [52, 100], [17, 66], [47, 94], [31, 81], [44, 91], [3, 51], [32, 67], [2, 35], [8, 59], [44, 91], [5, 39]]; loss = 0.008537 low_pass_filter = 0.300
+Epoch 0: | | 15909/? [2:42:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 15910; scene = ['07e7737b84d40e6c', '77170c7b30cba891', '5403b46eaa12daf7', 'dcbf7bc637f98af6', 'feb1b82c2d94f99b', '703887d25535f7d8', 'e9198ff23ec421b5', 'bbfe784cdfde117f', '143c77dcaeba54c4', 'd778dab56091a41e', '1c90964b4a2c8e69', 'ddf5dc2fba294c36', '12d8b6233815c5ef', 'f5b6c988d6461e03', '695a69f73b976dff', '2e904050b495396f']; context = [[35, 79], [13, 56], [175, 215], [29, 77], [41, 85], [143, 189], [96, 136], [9, 51], [1, 47], [170, 215], [0, 34], [38, 71], [16, 52], [34, 84], [18, 65], [83, 119]]; loss = 0.011009 low_pass_filter = 0.300
+Epoch 0: | | 15919/? [2:42:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 15920; scene = ['6eac10c755bf5f3f', '9fea8e828b80af94', 'cd61a765852c64c7', '8e22a11df41edf9b', '3905d70e14fda600', 'a16d169ffb5bbf5f', '122403c4c6d5ba14', 'b2b54a7a6fe8ec22', '988e8a280bf6a10e', 'ff28a57154e30bd3', '2e83f434f6fd8d6a', '8e2322cd777dd1d3', 'f3b2c02f309d6712', 'd074517a27f42b13', '9a1aaf5f24aa2a5e', '9af3593da4c1d27a']; context = [[38, 82], [6, 52], [4, 46], [15, 54], [116, 162], [20, 57], [83, 119], [5, 52], [6, 39], [41, 85], [4, 53], [9, 56], [40, 81], [48, 89], [54, 104], [225, 258]]; loss = 0.009471 low_pass_filter = 0.300
+Epoch 0: | | 15929/? [2:42:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 15930; scene = ['87d6c736b31761f7', 'e50e974531275016', 'adae27b073e92904', '01560d6cbaa0676b', '43c173591e7de4e9', '25b3eb02b0915107', '19d3d89506b5895b', '2bac81068ebb0b09', '68df89951fc13293', '8f928217e91256c3', 'ac507b8e32118dd5', '85d8b40beee1e26c', '7db355afc543bbc7', '3afea6460cfb4f15', '1d5b1fd9addc5397', '06517d6ba13f0022']; context = [[21, 56], [52, 96], [21, 56], [21, 72], [95, 144], [72, 115], [2, 48], [26, 67], [50, 87], [2, 41], [33, 77], [101, 142], [3, 39], [3, 55], [14, 47], [163, 199]]; loss = 0.010160 low_pass_filter = 0.300
+Epoch 0: | | 15939/? [2:42:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 15940; scene = ['35e7e6ab55881149', '3520fbb46c5118bb', 'a9ca79ed8588a002', 'c1d3259e0ae89e56', '4cfd2266eb4871a6', 'c519d78411b0cd89', '84748b54ef68ebed', '1fe4e7503bc05521', 'f1d1f2762f8c37fa', '8e09b2f26fc0427e', '36aeba1abbc82939', '4cf65a1289e50ab6', 'aa3ecba2e35dc6b4', 'daaa71034676a92f', '19cea6e80e53bf83', 'e1df1f2030a3fef5']; context = [[17, 54], [91, 139], [0, 44], [59, 102], [0, 35], [103, 152], [32, 72], [15, 52], [48, 85], [68, 110], [23, 58], [114, 147], [44, 78], [41, 90], [112, 163], [5, 41]]; loss = 0.010410 low_pass_filter = 0.300
+Epoch 0: | | 15949/? [2:42:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 15950; scene = ['438a753f3bd98e78', '2bb10d929829eb3c', '234951bcea9de45a', '28e273483a56fa47', '40aff09bb1db0174', 'eb75a65668cda3ca', 'f1c8dd3eca2368c8', '5480996847352f46', 'c8804ffcfe2475f7', 'c3edf21323a1d24e', '655505b3d15f6b6b', '2c6682e7b1e7b23a', 'f78c2005ec943a78', 'bdde1dd25164dc84', '2ffaa5b127dec0c8', '08c2813dd40cc55e']; context = [[58, 100], [43, 87], [4, 48], [39, 89], [101, 136], [1, 51], [49, 93], [0, 34], [5, 51], [65, 106], [15, 52], [2, 43], [27, 67], [4, 53], [35, 76], [0, 49]]; loss = 0.009170 low_pass_filter = 0.300
+Epoch 0: | | 15959/? [2:42:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 15960; scene = ['532eb0e37a511234', '8e5dd54e57122902', '24813fb67839f779', 'c1388d6b637459cf', '50b60190fdc35512', '70b0c6943b3115ac', '7b1acd8b44eecea2', '22c21bc532c93ede', 'd4a43140ef5899fd', '11ac1c29846c8b02', 'f3fa1b0410bbc27d', '6b80686260e18b3c', 'accbf67c9f56fdd8', 'b24bbc29f7fcfdb4', '1d70b5a526ba3459', '8f4562de3344b971']; context = [[99, 138], [125, 165], [4, 49], [37, 82], [155, 203], [41, 84], [6, 41], [11, 55], [102, 137], [60, 99], [18, 59], [36, 81], [38, 80], [0, 34], [33, 82], [7, 54]]; loss = 0.012503 low_pass_filter = 0.300
+Epoch 0: | | 15969/? [2:43:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 15970; scene = ['f85bd402fe4e1ef9', '0284a77587f91afb', '6854b28be879be74', '1e2867c2e8c77d43', '1d82e9e8625277ec', 'a20b0fedac9e0cfb', '585fcc880c5e41dc', 'ddeb25acf3565321', '68374bd8e0215d87', '0e3c2218affc73d5', 'bebf0fdfe16b9e85', '7f8baad045c5ca63', '1ecea537488c80e3', '5b8f2b2fad8a45bb', 'd281c87258201ca6', '6338d0d353046ec1']; context = [[8, 59], [7, 56], [207, 254], [163, 205], [3, 44], [6, 55], [8, 49], [33, 77], [72, 119], [228, 277], [16, 55], [16, 66], [21, 59], [61, 110], [158, 206], [84, 117]]; loss = 0.010449 low_pass_filter = 0.300
+Epoch 0: | | 15979/? [2:43:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 15980; scene = ['7bb2c23612182a9d', '3397c19634a51370', 'e100eb211d35682f', '318abe4d1ad592d9', '5f4ddcc9bb426531', '1f214117250f089a', '313c2ce83a17b22d', 'eb11462985fca758', '4a97b9d7a1594081', '33ffb0b94cec7ce7', 'be52d7017ff4e5e7', 'd6fac69b6a6bd958', '87027bc295a0e042', '3913ed9645529901', '512f1df8266be984', 'cbd4e58711dded8c']; context = [[99, 147], [22, 62], [9, 52], [182, 227], [13, 56], [68, 118], [9, 61], [110, 156], [4, 42], [6, 55], [11, 46], [19, 64], [36, 84], [72, 120], [6, 51], [8, 52]]; loss = 0.009710 low_pass_filter = 0.300
+Epoch 0: | | 15989/? [2:43:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 15990; scene = ['412e281a886da27d', '643f2558eda66bed', '8c781fc7e4fbe58c', '7a5e04bee3dda37b', '81675b61b99083f4', '2d4b4dfacb4b212f', 'e3cd7c908d02a227', '348a9219e5bc0afe', '1dc1e640b33ca268', '36b7a7b6d4f3e005', '5f8a197f2b75268d', '9e8da4ecea8860e9', 'e6feeeadb3fb35fe', '72a14401b43b8331', 'c77436d9d154f154', '9ea0fdf572a31a45']; context = [[62, 100], [49, 85], [16, 58], [16, 56], [99, 140], [16, 67], [216, 256], [165, 203], [20, 60], [23, 74], [8, 48], [24, 73], [118, 157], [47, 96], [86, 130], [14, 47]]; loss = 0.011137 low_pass_filter = 0.300
+Epoch 0: | | 15999/? [2:43:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 16000; scene = ['9c1ca75548ec6b8b', 'bee93f08719659df', '4a00f3accd2b6b35', 'c1001ec26226f680', '036e3782aff4e532', '05324a471dc26032', '4b2bfb703d9388ec', '6c354e5ae8754e87', '250c146f5c1b625c', '6f3f3a75c4debb17', '489cdd787b754e4b', 'ed9409fa128e193b', '177375702f643304', '5240c4c921e861cd', 'bc500f01a9368065', 'ec986ec2a6009452']; context = [[46, 92], [3, 36], [12, 56], [144, 196], [2, 40], [165, 201], [27, 62], [25, 71], [7, 45], [16, 54], [80, 118], [91, 125], [57, 93], [70, 110], [27, 62], [99, 146]]; loss = 0.010197 low_pass_filter = 0.300
+Epoch 0: | | 16000/? [2:43:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0validation step 16000; scene = ['806010700f66cae6']; context = [[115, 155]]
+Epoch 0: | | 16009/? [2:43:28<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 16010; scene = ['a966e4fd3a47983f', 'ec236d46d30d1a91', '099bb96a791d9e52', '163996095d00bd33', '067a40549516856a', '832c5a630af6b768', '854e67be5e2269ae', '669a9eadc281948b', 'e81fd25426cbbad2', '00104677f98ca3c9', 'c35be1e2bf7eb5f6', '62a47e085a693e44', '16a7631f41a026e1', 'bd5ca4829283b11f', 'cd5d7eac3e6a67fb', '88ccb97711c25fc9']; context = [[64, 115], [87, 134], [41, 87], [98, 139], [39, 80], [49, 85], [165, 212], [10, 56], [19, 68], [2, 44], [7, 40], [79, 131], [39, 72], [187, 236], [44, 85], [18, 58]]; loss = 0.008748 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 16019/? [2:43:34<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 16020; scene = ['fd397ecbd5d6b4e3', 'caed302f388b799f', '3f1298920b357e7e', 'cbb08aa58b52b464', '44c28f409e27ad8b', '207e792a23761fa4', '1b4d4a89d8cc8f17', '027f149944096008', 'db602b5c46a6037e', 'fa002cd2e4b9f134', 'c4cb1c9fa8a8304b', '232abb354c423e81', 'a21e31b0fe500357', '177e0dd49919981d', 'd6399ff89e69aaf3', 'e105aaec07c73634']; context = [[66, 112], [80, 126], [12, 57], [8, 44], [22, 63], [5, 57], [45, 80], [0, 45], [73, 109], [9, 49], [106, 149], [44, 88], [38, 75], [27, 60], [12, 52], [6, 50]]; loss = 0.011004 low_pass_filter = 0.300
+Epoch 0: | | 16029/? [2:43:40<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 16030; scene = ['0ff43f7eefe141b0', '1505eac55db08881', '42d33d1990dc2827', 'd4592196f3d5e77a', 'd458f48f3cd5ae1b', '4089488b3adb6226', '6b3f79a3dae10bdf', '214eeca1d9687332', '3eb10f91b03318e2', 'd95573ce88bcad09', 'b1a0a95f2b59cf25', '9c04b2fd1b51976e', '9399f9e7caae9a7f', '349c6cc920ba7868', '5b7ab1a8989e1729', 'd44961c44fa2d3d0']; context = [[69, 102], [6, 57], [22, 59], [86, 136], [9, 52], [141, 185], [30, 65], [115, 153], [49, 90], [15, 64], [14, 64], [4, 51], [125, 163], [38, 85], [1, 41], [21, 56]]; loss = 0.008574 low_pass_filter = 0.300
+Epoch 0: | | 16039/? [2:43:46<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 16040; scene = ['23e13fe2f959531e', 'ddff7ff1e6732648', 'f8e1a14db84dc92d', 'd7dbbb4217556149', '7d7ee94b559dd5e3', '9e81739f44494c01', 'ad1ea2448e201fde', '4a96f781e5a5b768', 'fe8614f92636fb9d', '5228b0e43b41274e', 'bbfcd3d774e70b9d', 'ce583b2000bccf49', '7f724a91b84fff5b', '99781973423ad6f8', 'f9da565a8d03319a', '7678178333c89640']; context = [[30, 71], [28, 73], [59, 93], [24, 67], [61, 98], [138, 189], [21, 73], [19, 55], [26, 71], [9, 49], [70, 107], [62, 101], [61, 95], [15, 55], [47, 94], [32, 77]]; loss = 0.010414 low_pass_filter = 0.300
+Epoch 0: | | 16049/? [2:43:52<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 16050; scene = ['74cf3746f74cdb97', 'ad724e11e9933d4d', '09f1e74af56c268f', '9a447c89080e9b56', '0a13c96ef5627832', '95a5ea2e09ee418f', '9a3f0345a9b17648', '27c168a634509b29', '689eb631613c402c', 'de27d41e095228a7', '28f196b2974e01fb', '2c2448d7d99b29db', '2d209691d5658fd7', '39edfd183c4f5b5b', '6dfcc15fc9e4c026', '7b93668d35de0c1c']; context = [[14, 49], [8, 60], [51, 92], [4, 42], [92, 129], [26, 72], [6, 44], [73, 122], [48, 81], [1, 50], [97, 137], [34, 81], [89, 124], [132, 167], [10, 57], [29, 72]]; loss = 0.009066 low_pass_filter = 0.300
+Epoch 0: | | 16059/? [2:43:58<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 16060; scene = ['cfc5f9298ced6d9c', '69930f56840795cc', '49fc667ff679205c', '4102c95a9026d0ee', '122abb9fd46a2417', '8f669ff171c957d2', '9d3f195e8d854334', '55bbd93d2b19cf59', '9fa4b561fd7a9ac5', '4fc41d9b64125da5', '555b156680c99feb', '193772f5af285408', '8392047c3a89030d', 'fb38700b0e32e00b', '3be83d55d7047555', '15643ffa40271cc5']; context = [[25, 64], [50, 87], [32, 65], [20, 65], [126, 162], [1, 34], [3, 42], [89, 129], [13, 63], [7, 58], [54, 89], [55, 97], [141, 193], [39, 81], [3, 52], [0, 41]]; loss = 0.009334 low_pass_filter = 0.300
+Epoch 0: | | 16069/? [2:44:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 16070; scene = ['c197acc6fde0dfcf', 'dad6bfb8b50afd08', '903811649da7395a', 'a5be41b89080d8f1', '1087329ad17df204', '8ee3e8ac88f58012', '60e5d0d42a689e23', '03db304406c912d0', 'c1e40f36c5764350', '0485d17f26800fdd', '2f2587735ce5a386', 'b14ec6f019932d8d', '6759c86723a2f641', '74995a45ae7227d7', '71bf1918ddaf971a', 'ccb757722b46afd7']; context = [[21, 69], [202, 244], [62, 106], [30, 65], [15, 61], [19, 65], [95, 141], [183, 217], [9, 49], [36, 84], [107, 146], [19, 56], [38, 76], [115, 156], [67, 103], [96, 148]]; loss = 0.011864 low_pass_filter = 0.300
+Epoch 0: | | 16079/? [2:44:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 16080; scene = ['942849a0473c930b', 'd77e95065c740393', '03f22e694d8895e9', 'ff78f5cb272e5c78', 'dc4ca047ad86ad9b', '232e85250de4fc24', 'c55a5750182f4093', '06866305c62c0d18', '12c5cadb276b9a6d', 'a51b49467cdf0daa', '39f84480b6231105', '664b592c447448de', 'c26b11aa4b27231b', '2a556acdb9f72bf2', '06c10cad69c00868', '694c1768e5e9f5d8']; context = [[2, 36], [20, 57], [31, 68], [190, 236], [123, 168], [41, 88], [4, 38], [50, 92], [64, 112], [116, 154], [20, 68], [0, 37], [2, 42], [76, 113], [8, 42], [1, 49]]; loss = 0.010330 low_pass_filter = 0.300
+Epoch 0: | | 16089/? [2:44:16<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 16090; scene = ['4e03afc8fd599673', '59d81da76eda2f59', '8024a27b3138f205', 'de15597277b79578', '670c6ce1725eee7f', 'd523f26e68f76261', '24fa9fdc010bbdc1', '19360b0b524f15ba', 'd54a15f03943492f', '26d3838f22429b5b', 'aa35f6040d3a2e7c', '21ba0919a6554615', 'd71fb52ce45d8b40', '2a54ddfb55e75a98', '4ce03d1c50ea886a', '2aae28f3786c927f']; context = [[75, 123], [1, 46], [29, 63], [6, 54], [45, 78], [18, 59], [185, 220], [0, 48], [30, 82], [148, 198], [51, 86], [62, 109], [5, 46], [12, 54], [6, 47], [3, 41]]; loss = 0.009578 low_pass_filter = 0.300
+Epoch 0: | | 16099/? [2:44:22<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 16100; scene = ['4d53551d81b226fc', 'ff3735ed0adaee8c', 'f403f83a9cac4ba5', '3d313d32ec13ddd6', '8ae37caf70acdf7d', '6b5033800250e9d7', '7b8ae88adecfb87f', 'ffb34ef6c0333c37', '4305d5a5fab3efa5', 'eb1785431a9d20c6', '6281f1e8ec9ca792', '6d4ae1b207f911c0', 'c3708bd52a94f1e6', 'de34678ce0e6b0bf', 'f4bd986f95594e18', '717bf560f8a74c28']; context = [[10, 55], [21, 73], [108, 145], [40, 92], [112, 159], [80, 120], [6, 49], [13, 46], [102, 145], [24, 65], [9, 55], [1, 36], [6, 48], [11, 46], [10, 46], [7, 51]]; loss = 0.010325 low_pass_filter = 0.300
+Epoch 0: | | 16109/? [2:44:28<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 16110; scene = ['c9640bf752471029', 'eb0ad402ba6f499c', '79afe1c4794f8fa1', '9e7b0e6b126a0449', '1d5a30bb1267f67b', 'ef05d8c3781ff579', '5de5a2de423e339e', '3ab45b6c5ab921e2', '5d3f0ed6928762de', 'fbcbd0357e2fcc87', 'd56017b6d0b75312', 'ae57cf0694d512d1', '1258cd4602356ce2', 'cd3fa8effe44ecd8', 'f666844989675472', 'd646c5e06caacb0c']; context = [[59, 103], [12, 59], [14, 53], [107, 149], [224, 260], [58, 108], [8, 41], [39, 87], [36, 88], [1, 48], [84, 125], [66, 100], [68, 102], [12, 63], [123, 171], [26, 72]]; loss = 0.009146 low_pass_filter = 0.300
+Epoch 0: | | 16119/? [2:44:34<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 16120; scene = ['feebda925b98fa36', '960ee8aa94f850d3', '2ed847b87dcf204b', '7be1f03b786006fc', '9aecffee631175f9', '6d1341b87237bb6a', '20607fd2e40f16c9', 'c386044808598461', '3de83835be367bdf', 'ee900fdc0e91edc5', 'daff359bb3c9a72d', '82cdc87bb2169311', '23455f0f5d2567ec', '5ea5a5ed231c5753', '0f6bd86d073ffa4b', '8d2cc65bc5823183']; context = [[12, 49], [16, 53], [0, 34], [25, 69], [113, 153], [68, 106], [14, 53], [7, 54], [25, 72], [215, 249], [139, 190], [63, 107], [12, 59], [38, 72], [119, 162], [40, 75]]; loss = 0.010823 low_pass_filter = 0.300
+Epoch 0: | | 16129/? [2:44:40<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 16130; scene = ['46df912c9748215b', '24f3efef10906531', '5aac7a494a76897f', '693d2a2502b82380', '1a38cc93a374627e', 'c0e5426d518f8e28', '9c23d517a91893c2', 'b08d85cdcc4a4598', '5bf15bd410312ae3', 'a89692d834adee1b', 'f2063ca795462217', 'a16b0c66cd110882', '1babb7cb2562353d', '693c14e3393ef3e4', '0aad9b814aac4db8', 'c204e3171d16e39e']; context = [[27, 74], [36, 73], [19, 58], [40, 90], [29, 72], [10, 47], [60, 110], [5, 47], [2, 49], [50, 85], [75, 124], [44, 87], [1, 38], [88, 128], [116, 168], [49, 93]]; loss = 0.008598 low_pass_filter = 0.300
+Epoch 0: | | 16139/? [2:44:46<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 16140; scene = ['3b77ec0fcfd8373a', '998b9c32167e24af', '01b1548c7d661213', 'b101b30ff1f24357', '8dc02ad9f06c82b6', '4d0a07abd5489371', '062fc5a9d29cd651', 'c5f2e6776dac629f', '23f38236666f61c8', '121cc845c781ea3c', '5eeab6d3c4c70703', '46f0e94c1dbb3257', '9aefa60e71537b35', '87153716bf3914a2', '7a8435edc64d3caf', '55eef86e415f4f03']; context = [[14, 64], [31, 65], [18, 67], [18, 69], [8, 46], [61, 100], [4, 55], [19, 61], [4, 44], [8, 45], [9, 47], [43, 90], [5, 38], [66, 105], [72, 118], [4, 47]]; loss = 0.008725 low_pass_filter = 0.300
+Epoch 0: | | 16149/? [2:44:52<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 16150; scene = ['a90e228525bff876', 'b9347cd2020634b0', '5cad63fcd9593f65', 'b9f2c3a4424ef63f', '08dd606dcc7160a8', '3c67fba20c78c21e', 'e294b6a633246ed8', 'd1c64e750c7577d8', '5744a176a9fc4534', 'f3793c990ac5465a', '428542643720618a', '4c7c9544f65c89ea', '55cb413872623381', 'eda215a16c061de4', 'a8c140ac6c145549', 'a68112570746fce2']; context = [[53, 99], [203, 252], [29, 66], [3, 45], [0, 46], [36, 77], [5, 55], [82, 131], [65, 110], [170, 218], [52, 87], [16, 53], [5, 45], [73, 125], [24, 72], [32, 71]]; loss = 0.008451 low_pass_filter = 0.300
+Epoch 0: | | 16159/? [2:44:58<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 16160; scene = ['6c5028342f43fe8f', '5ac7c4ce642f7b05', '97c83a0fe6e01482', '615cc977ddbc7fb7', '59944b3a84a894b4', '94b22ba24f741784', '5f4855dff1edd516', '2266be279691ad87', 'cc0274732295be4f', '7e510b7eda35e727', '452c789c044fde02', 'b80b9aba988d63cf', '7955dc9105c4e408', '680137d105e33753', 'cc0940682885838a', '1756b54fd79326f2']; context = [[10, 47], [33, 73], [32, 78], [0, 45], [102, 142], [11, 50], [16, 56], [4, 55], [24, 61], [42, 80], [5, 57], [121, 161], [8, 50], [60, 100], [96, 139], [41, 90]]; loss = 0.011242 low_pass_filter = 0.300
+Epoch 0: | | 16169/? [2:45:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 16170; scene = ['d2d1e88def2d5190', 'dfb7bad8245ffc20', '8d892e1664b77b66', '40da5b52f6446644', 'e44d8ddd3535688a', '11a11baafff47174', '05bbc9909ddbc3b7', 'a27aaba0c4a2b558', '4cc30df9ffe2c183', '501c7fced48eba59', '7ad5e90fc8434219', '6465050cb3142bb6', '6897a323d67edc41', 'c4ae95c34e204d53', '3a5fdf1030d55af7', 'c1a04c25ccb94aee']; context = [[3, 51], [162, 209], [85, 120], [122, 172], [15, 50], [11, 61], [86, 135], [0, 48], [26, 72], [15, 66], [194, 232], [22, 69], [4, 41], [11, 62], [22, 60], [57, 109]]; loss = 0.009465 low_pass_filter = 0.300
+Epoch 0: | | 16179/? [2:45:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 16180; scene = ['ef8abc1b989a812c', '85cadcec687c2603', '978c374744572e28', '1828e5f16054f9f6', '513ae69355efb81f', 'a7bfe4e8a677da50', 'ca21a012336de65e', '8887b73febcefdd0', '0c4408a824f7ffcb', 'f85a4ca76cb47894', '7cdf2f89cc9fa2f6', 'd0832724bf5ee75a', '0bf19acfa975633f', '6bc33a0a3885c153', '27227056e078032b', '2d5367d8abf2a189']; context = [[31, 65], [44, 83], [5, 53], [59, 101], [6, 54], [67, 100], [26, 60], [35, 74], [57, 94], [2, 36], [32, 81], [22, 73], [124, 160], [44, 95], [38, 82], [38, 90]]; loss = 0.010025 low_pass_filter = 0.300
+Epoch 0: | | 16189/? [2:45:16<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 16190; scene = ['c2b2d238f9214068', 'c2d169718514f0a8', 'eb5e30080980212a', 'd6d035f2af6e9bad', '0ffd385bf24b6e10', '1d8f8faa8a7ec751', '600f168a8eabe775', '7f1b2d73cffaedec', '4c3217cbb966ce0c', 'c11e71447a5d1611', '1716266141ef92bb', 'f730cfa1c51fc30b', 'a80fd2f2a9bf34a7', '9c68a8a0af17b921', 'd961d08df94ee410', '29bf572c7b808da4']; context = [[6, 51], [15, 63], [41, 81], [19, 58], [164, 198], [5, 57], [133, 177], [9, 53], [93, 139], [14, 62], [49, 101], [32, 71], [11, 58], [19, 56], [130, 165], [55, 91]]; loss = 0.009787 low_pass_filter = 0.300
+Epoch 0: | | 16199/? [2:45:22<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 16200; scene = ['037e13cd4894ab2a', '5a04796cace71282', '71ee078ccf3a70d8', 'c27226cd8e195456', 'e76e794a0880ddc9', '6f5dadb86bb15604', '39c96ad5667df5f5', 'cc089cd07b364bb2', 'f1f75b1ccbb7cd62', '5044cfc350b5a41e', '76d19f39d78b5460', '383eef6f20986610', '460e5799fd3f2446', '2301bf4226984b79', '994a09c04868abe9', '912649b3ee94f486']; context = [[22, 65], [27, 70], [11, 56], [6, 57], [15, 64], [14, 49], [16, 54], [1, 40], [28, 65], [0, 41], [78, 111], [8, 45], [11, 50], [5, 42], [5, 38], [108, 154]]; loss = 0.012352 low_pass_filter = 0.300
+Epoch 0: | | 16209/? [2:45:28<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 16210; scene = ['e78a9b4f74b7295c', '816849c78197db5c', 'd5933e65e109bd10', '892d9fadbaba9e08', '170e14dfe6029879', '1db8db266bd7b824', '27707265ec825ba7', 'd28dd035c45d7b06', 'b495905da7f31147', 'aea600cf5857c796', 'e56faa3956de9664', '315d75f711d441e7', 'e070e207b2a27686', 'eeeef9bad8464592', '86c2513b349c1bfa', 'cd1b750af1701dd8']; context = [[4, 37], [30, 79], [43, 96], [83, 119], [90, 128], [82, 123], [49, 88], [8, 49], [53, 99], [19, 59], [62, 101], [160, 204], [8, 57], [22, 61], [69, 104], [4, 49]]; loss = 0.011891 low_pass_filter = 0.300
+Epoch 0: | | 16219/? [2:45:34<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 16220; scene = ['23640056e4b21902', '3835880de7cce2a9', '1087329ad17df204', '6759c86723a2f641', 'b14ec6f019932d8d', '74995a45ae7227d7', '2f2587735ce5a386', 'ccb757722b46afd7', '8ee3e8ac88f58012', '03db304406c912d0', '0485d17f26800fdd', '60e5d0d42a689e23', 'c1e40f36c5764350', '71bf1918ddaf971a', 'b16cebdce42a2fb6', 'b27bddaf7c71a0e6']; context = [[18, 69], [5, 52], [21, 62], [42, 76], [12, 63], [60, 105], [30, 76], [147, 197], [16, 51], [46, 81], [21, 65], [73, 107], [67, 110], [34, 77], [33, 75], [149, 189]]; loss = 0.010627 low_pass_filter = 0.300
+Epoch 0: | | 16229/? [2:45:40<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 16230; scene = ['836250796ea45b6c', '6e10a046c2ed0765', 'bf8a73a9b01ba974', '6d981f9c15daf9ab', '0eed4548041bea8e', 'bc2844e0adbc5a7c', '8aebff137f25796f', '7ed7024ec9041f1e', '6bcfa5f2e496b97f', 'd026c1b01c69d9fd', '0bc21d918e81588f', '1e1322a60331ebaa', '4c48be787e8731b3', '08858c86a58ce340', '32df4544077b104b', 'c2de1d81f1dbb6fb']; context = [[10, 50], [88, 121], [95, 136], [34, 77], [112, 145], [67, 115], [23, 60], [17, 54], [9, 44], [120, 166], [34, 86], [5, 38], [10, 58], [64, 114], [91, 129], [132, 184]]; loss = 0.011367 low_pass_filter = 0.300
+Epoch 0: | | 16239/? [2:45:46<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 16240; scene = ['e6b17da4f5f8185a', '3f030393b67f422a', 'a94a86b19490f511', 'be5fc0ef45cefad8', 'b0f18cc31444daf2', '23f2830afef538db', '8e6f50914c157483', '7a8f70ff4a5b546b', 'db7d9e8a2214ea12', 'bb210d97a67bbe25', '631faabe036acfbd', '13457154dbd7bf5f', '409992fcef38c5b3', 'eeac9962eca476e8', '0b7b84c45ac83e42', '5bea8db2d4f7856b']; context = [[8, 59], [35, 80], [46, 87], [18, 59], [1, 54], [69, 103], [13, 65], [18, 59], [15, 60], [19, 65], [33, 70], [102, 155], [25, 75], [191, 224], [2, 49], [15, 59]]; loss = 0.011574 low_pass_filter = 0.300
+Epoch 0: | | 16249/? [2:45:52<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 16250; scene = ['c2c61e3082375bd8', '6c0ef012029b30f2', 'd88fa63cc32b7683', '87d6d6a8bfe2e405', '2bf5c8f7b285bf5a', 'c60574d85b952188', 'b34dcbb038fc410d', 'c1fa698a3e5a622a', '271e4b6a0ec3226c', '1de0e7fd0503b25c', 'b5e71c71a3b90d4a', 'd392836ab1339907', '3863be12bc41d802', '1e69c0ba9e7fb023', '63513ee2e5e74f65', '0dc7065a7b99d535']; context = [[85, 135], [150, 201], [2, 52], [45, 92], [239, 272], [154, 192], [97, 140], [34, 79], [80, 117], [27, 75], [11, 45], [0, 49], [0, 33], [23, 61], [51, 100], [192, 230]]; loss = 0.015657 low_pass_filter = 0.300
+Epoch 0: | | 16259/? [2:45:58<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 16260; scene = ['4c047689861d16b2', '3c00ec04c71aeef8', '1562c1508e0a378f', 'ab4eb07b5cd0708c', '3262a32f1f8f63fe', '113e7641cbeecce8', 'd37cef38aa4a372c', '97ca51807dd1ccdb', 'e8c358caad0e0900', 'c6a0f60507c5b23e', '65941d6210e92cfc', 'd4294f7d5b241d04', '6311f7f59a5b58bd', '0798c66d382f3f33', '9783eab48a41e20f', '2f95a104b58aef0c']; context = [[24, 66], [0, 42], [51, 88], [115, 159], [21, 61], [30, 69], [1, 41], [122, 171], [131, 181], [16, 65], [10, 47], [33, 86], [13, 57], [0, 42], [5, 53], [27, 80]]; loss = 0.011753 low_pass_filter = 0.300
+Epoch 0: | | 16269/? [2:46:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 16270; scene = ['c81116e9985d9e29', '959a7457a468f670', '94b22ba24f741784', '59944b3a84a894b4', '97c83a0fe6e01482', '0f917244fa7a3d9f', '2266be279691ad87', '6c5028342f43fe8f', '615cc977ddbc7fb7', 'd56392a9d88c822b', '3a0187dbeeea94c2', '938de9ed21c7c620', 'bd0c6bf55d5f81a1', 'c8d798b5fddf3e82', '73bdc7d6ab5f0561', '4403bf38a10deaed']; context = [[216, 263], [45, 83], [0, 45], [56, 105], [6, 48], [229, 274], [24, 69], [96, 136], [37, 85], [43, 79], [38, 74], [2, 39], [141, 181], [68, 118], [37, 84], [2, 36]]; loss = 0.008811 low_pass_filter = 0.300
+Epoch 0: | | 16279/? [2:46:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 16280; scene = ['f67fd4d084e3bb70', '5f0904e6c3f20898', '1921f0aa77d99890', 'db42164d6ef63c4f', '1acbe14fa8b1d045', '9cf341f92e48f7a5', '8fec9f5bb360d613', 'e2101e24b745e35a', 'bf8d7d53329bfcde', '398387e65925128a', 'ddd8a48c9a8ddca5', '5f19088fcdebb2c5', 'a210d76ab2d20a1f', '87ddb273a2668496', '4188a5e607ad1fb9', '80fdcecdeb194bd8']; context = [[16, 52], [32, 66], [26, 70], [13, 50], [6, 52], [26, 65], [12, 56], [56, 97], [15, 55], [19, 56], [0, 34], [30, 79], [26, 63], [186, 230], [23, 71], [7, 42]]; loss = 0.009633 low_pass_filter = 0.300
+Epoch 0: | | 16289/? [2:46:16<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 16290; scene = ['f8b1d2c720458382', '4f27c51e6150adc0', '151aee58a753e2b3', '0ced4934341f8375', 'ac28e9e484e60c4b', 'f838cceee133ed54', 'fbf9cc8007a64014', '8672d4dcdf75c91e', 'b2d9d8616512d1dc', 'f94f4ec2ae3e18c4', 'd0f9511f71afe975', '6b0f6154016a4fd5', '891648f976ef8493', '2b026a3e98536fb5', '33e06b0151d0c869', '7071582ccab23b21']; context = [[187, 238], [169, 220], [0, 33], [1, 54], [61, 109], [107, 153], [18, 71], [52, 99], [10, 56], [27, 61], [34, 73], [19, 56], [33, 67], [46, 80], [39, 89], [14, 66]]; loss = 0.011920 low_pass_filter = 0.300
+Epoch 0: | | 16299/? [2:46:22<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 16300; scene = ['325ca089610a7226', '3256cf35e6abfe1f', '2d10a1bc4e9f5fe2', '03333aa4887f26da', 'ca866a5dae5079a7', '6bf4232300f914f8', '9e233268774cce82', '97c61bf4019ef230', 'a9ed4a87c1c6b665', '73a06caaa807e329', 'dfd336dfa3c2fb00', '57262e32f60a57d7', '4d549d57084d7a1d', '3a7baa3f05310611', '0883f1f1781e205c', 'dad3930a5a5ff06c']; context = [[18, 52], [11, 47], [102, 139], [11, 61], [0, 33], [28, 74], [20, 60], [38, 84], [6, 46], [224, 274], [7, 42], [5, 57], [97, 138], [58, 108], [83, 120], [30, 82]]; loss = 0.010762 low_pass_filter = 0.300
+Epoch 0: | | 16309/? [2:46:28<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 16310; scene = ['55395ce6b8cbbe3f', 'dc987c9d1fdd26dc', 'cf5703d3e8c55fca', '5e156c6e69d2c5f4', '3c0d87cb48662854', '12e1a1a104427117', 'e321918f2c1dad3d', '1706922b35a131c1', '0279ce58d78444e9', '298229a37fabd908', '7e3f87e5affd253f', '8e5b8134c3e523b7', '3d1834e1cb8a0a56', '0f62fa07d5678c66', 'eb44011752cb1c5c', '11d1412ed987535d']; context = [[114, 167], [34, 77], [52, 92], [10, 46], [26, 60], [33, 86], [41, 93], [28, 74], [1, 39], [11, 45], [9, 62], [2, 35], [17, 50], [1, 45], [4, 46], [7, 50]]; loss = 0.009273 low_pass_filter = 0.300
+Epoch 0: | | 16319/? [2:46:34<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 16320; scene = ['238a28384742ad6c', 'e0ca058fbb73495e', 'f51bd3c5d50335b9', '80df049a2df21988', '5817b7ccc056f135', 'd75bc06e3fc14333', '9b6abb583f61a99b', '7bb2a36d347cb804', 'c09623e3e470aa73', '2c8690e7abc59e99', 'b4db2573043a97b9', '6ffbea16a4bbbb0f', '0912e6bf4e300703', 'f45d9e8e8e264fcd', 'd5676429e2acba8e', '36f128eb7317284f']; context = [[21, 62], [70, 106], [3, 40], [58, 107], [44, 94], [43, 83], [107, 148], [15, 49], [56, 94], [14, 60], [4, 56], [13, 61], [146, 195], [9, 58], [23, 56], [11, 46]]; loss = 0.011687 low_pass_filter = 0.300
+Epoch 0: | | 16329/? [2:46:40<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 16330; scene = ['f5db0bad3ebe96e3', '7bdeaa5ddcb319c8', '982d9146fc343fa5', '6d924b8977d59cbc', 'dac3810c49d3ab7b', 'ccc8e2dab9b9e5c8', 'ecbacc0f6e82298f', '91e6d5db234847dd', 'e407e438aa7e9206', 'ec4db803b81a0bdc', '4646bbb28f1eae0e', '0e877f29a64985f6', '2d2956eda43da92c', '03ebe8f7060a0adb', '17eb179606c65453', 'bf18f5ce237cd08c']; context = [[0, 50], [38, 72], [6, 40], [20, 59], [154, 190], [0, 34], [33, 80], [32, 65], [1, 41], [2, 36], [16, 62], [30, 63], [25, 73], [16, 63], [11, 47], [184, 232]]; loss = 0.009290 low_pass_filter = 0.300
+Epoch 0: | | 16339/? [2:46:46<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 16340; scene = ['6d82a86ea798d28e', '5801bd8ed3baed75', '7b698e19de628b10', '4b868c1b9815ead6', '58862a8fe2c91894', 'bc7cc2b25b604fce', 'd31dab63cc54c59e', '2c8e2b99b8d5b036', '6bb1fe38f50ee2f6', 'dca0f0eacbccd9c8', '6a98a5412a5aee02', 'f989c56011d46722', 'e211852f55d383e8', '803cdca952362ddb', '36e81bf863b582ed', '767c62f619b15386']; context = [[17, 59], [231, 278], [0, 35], [18, 59], [25, 60], [22, 64], [5, 43], [49, 86], [93, 135], [48, 84], [10, 56], [14, 57], [2, 43], [93, 132], [193, 240], [55, 94]]; loss = 0.011851 low_pass_filter = 0.300
+Epoch 0: | | 16349/? [2:46:52<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 16350; scene = ['842f3619d4a71d3e', '0303844b61f8e7e8', 'c69e635efb9af3b8', '12e365426a204bfe', 'ea1b098bc21eb64b', 'c0d9b8245553ea43', 'e5d6c55082393e34', '791154aeb41aebe5', '0f334f40ba81525d', '544a78b22bc4b00c', '62705f8c22b2c80e', 'bb03712511acb358', '4c500c935499b76c', '4346bc65cbbf2d07', '15e37857ba740b8e', '79dca8946db32bbf']; context = [[19, 59], [38, 79], [22, 73], [5, 57], [33, 76], [35, 84], [36, 82], [39, 78], [26, 71], [49, 86], [187, 225], [3, 44], [23, 59], [1, 35], [4, 44], [16, 69]]; loss = 0.011652 low_pass_filter = 0.300
+Epoch 0: | | 16359/? [2:46:58<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 16360; scene = ['857f9e94ae854991', 'b28e405bcbcfb7d6', '35e10ff7ba26bd0c', '9c6a1dbd69cfffe5', '8e93cbe00c1bd4b3', '7186ffd763a25cfc', 'fd9c7be97215e846', 'b4f3501bfcf7f1bf', '8205f97f555d77b1', '800a7f75d3738c1f', 'bf9428779bb4c4c9', '212e45bab1774843', 'dc41c0081c0366a6', 'a4040de9d995b7de', '21e2fa0645ea6c62', 'd6076dda77bf4667']; context = [[11, 53], [37, 82], [18, 68], [157, 206], [99, 150], [45, 88], [64, 106], [17, 65], [111, 162], [21, 57], [86, 125], [6, 57], [23, 71], [52, 97], [21, 67], [22, 64]]; loss = 0.009549 low_pass_filter = 0.300
+Epoch 0: | | 16369/? [2:47:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 16370; scene = ['5f14e0e70310b263', '6a18f39c2e334256', '117a51993d9a7060', '2073ba65bfccbb0b', 'cfe012ee13f32184', '9dafc61a5619845c', 'c4217c1a6b2d6381', '7cb7cf6f9813487e', '4b4d97c54ed93160', 'c0198b22b5015afd', '1acf1fda04e66de3', 'f892051838c9ee27', '6fa4c2007a0bf94f', '7a92ae8d981688f4', '9974ef630b3b0063', 'fcf802fad585ff72']; context = [[6, 59], [0, 41], [6, 54], [129, 162], [27, 80], [121, 166], [0, 46], [18, 55], [18, 62], [118, 171], [8, 59], [153, 191], [54, 97], [20, 54], [68, 110], [23, 57]]; loss = 0.010830 low_pass_filter = 0.300
+Epoch 0: | | 16379/? [2:47:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 16380; scene = ['78d70ed425551787', 'c158b65df6e45293', '194ab22b4bcef56d', '03a510451bcafdcb', '499f2465f28c27cf', 'cb6f76288d4df310', 'bab9bbc2d9b69a46', '4674c4000136f387', 'afbcb424f59b922b', '63cff13813cbc4ac', '65eb90461a63a1b3', '4beb0dd348a2c905', 'fc4b023d8244d9a6', '571879c55dd10963', '0e0e4a867359f360', '3bcf3bcfc5d5c365']; context = [[24, 68], [57, 95], [137, 176], [11, 52], [16, 60], [5, 52], [32, 69], [0, 37], [21, 67], [12, 59], [19, 70], [29, 66], [2, 46], [31, 75], [24, 72], [14, 61]]; loss = 0.009580 low_pass_filter = 0.300
+Epoch 0: | | 16389/? [2:47:16<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 16390; scene = ['093704d9160df32d', 'c3804606ec41751f', 'c2cd8e47380cba65', '4c9136655cb23d73', '8a74b55803fe2352', 'b5b81427691ebd8a', '8d5262c58268131c', 'd01f2d23a398ab9e', '738ae827526dca1b', 'f7ecc46b74e0589e', '4cdef6cc63fd9ff0', '4fe9b3f925a995bd', '6d4d98de946cf7ce', '37b17878bc99d25f', '576000b096d729fb', '81d476bcd985f471']; context = [[129, 176], [11, 56], [12, 49], [5, 42], [97, 150], [83, 129], [45, 90], [40, 88], [12, 52], [62, 110], [209, 261], [0, 45], [1, 34], [50, 94], [36, 81], [5, 57]]; loss = 0.008806 low_pass_filter = 0.300
+Epoch 0: | | 16399/? [2:47:22<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 16400; scene = ['084d2d0b34eb8054', 'ceef1805f7e75161', '054a098d517cd27e', 'd5960a4f8636bc77', '9620b0a596971473', 'a53cae6550f95a38', 'db46821f946ffb61', '3413fcf0a42522c5', '5ab36cfc1904db97', 'f080ccd0ba94997a', 'c19efa0eb9d3fad5', '33c9561e60c5c3bc', 'af9da5714f72f597', 'ce25ac41ba703fe3', 'ca566378f9664a37', 'b402605edf8cf6a1']; context = [[40, 81], [120, 163], [20, 69], [83, 135], [0, 39], [9, 42], [1, 47], [3, 39], [34, 81], [121, 168], [4, 40], [7, 56], [35, 79], [5, 49], [43, 76], [92, 125]]; loss = 0.007776 low_pass_filter = 0.300
+Epoch 0: | | 16409/? [2:47:28<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 16410; scene = ['65498b8de03a0b2d', 'd3f9fbcfe7972afc', 'cc1bcd4f8463b2ee', 'fb66bb9f72b6434e', '930341b45d10af4f', '9b1e8fe75dfee472', '8c4188b975dcb7f5', 'ea8dd7144f70a1b0', '9fdeb0d1eeb78a3e', '7300487828343217', '186236edb339f199', '8caccc97dbc76d19', 'a490e682ff266afe', '669a178ba2796066', '30191495233db79a', 'd1971fe0b38b52bd']; context = [[10, 61], [25, 77], [81, 119], [46, 95], [13, 58], [48, 98], [136, 178], [41, 76], [9, 57], [0, 33], [53, 105], [43, 84], [109, 148], [167, 204], [65, 118], [74, 109]]; loss = 0.009893 low_pass_filter = 0.300
+Epoch 0: | | 16419/? [2:47:34<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 16420; scene = ['7b073ee15c14c7a7', 'b26be48a0dd1a901', '743ec6cf3ab79c26', 'e9b590c6993bcf66', 'ded696beba889e75', 'eb1379bef32aa39b', '24b36b96c868b758', '405e320c34ff7f81', '93739f7c17797663', '8dbd26a529a8e1fe', '36c57314d0fdc684', 'aa49c506f067e54d', 'b2a5bee383cc062d', 'cf93d34812c5075f', '58658f7de57fcdf8', 'a0e4826e71332c71']; context = [[18, 60], [31, 78], [180, 227], [7, 43], [34, 85], [134, 174], [29, 76], [111, 144], [16, 54], [100, 144], [1, 39], [46, 80], [31, 67], [63, 111], [24, 71], [80, 126]]; loss = 0.009535 low_pass_filter = 0.300
+Epoch 0: | | 16429/? [2:47:40<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 16430; scene = ['881f4e6f9198afcf', 'f22bffdad4d6241c', '3b5d67521155f9cb', '62ef70041034583e', 'fd8c58805a736806', 'a5a65324d2c3e20f', 'f37cf46fe1969cfe', 'e25fdd12f8ddbe42', '99b8d16252e8bf6a', '3f275d1a2b75c460', '00a5cfccd6508e96', 'a16abbd1892bf65a', '9c0dfa31d55ffc5d', '6c03ecd2106e542b', '8bb6a52eb7546b9e', '5bfc07e208fce700']; context = [[133, 179], [4, 39], [37, 76], [3, 36], [162, 197], [33, 81], [18, 53], [6, 40], [1, 41], [42, 78], [2, 45], [0, 35], [26, 71], [164, 197], [38, 91], [17, 64]]; loss = 0.007787 low_pass_filter = 0.300
+Epoch 0: | | 16439/? [2:47:47<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 16440; scene = ['1debdeb9340d8cdd', '492e813277026b30', 'af86e999648a354f', '2bdc0fd8c339c3f5', 'be9a21133b236d50', '3fe19edea0cd9de1', 'f95b063b60bd993b', '3e489712e33bc8f5', '450ff327b50c6693', '7c5ea27a35cf794f', '2cd9451a8f8f8f72', 'd8940a999b9fc9d8', 'd6e831e0be07e220', '355a73d3e6f9f555', 'a660d0f19f982875', 'e9102c12371391d2']; context = [[19, 65], [81, 120], [76, 115], [63, 101], [8, 54], [101, 146], [0, 46], [27, 75], [78, 122], [1, 49], [68, 114], [36, 86], [54, 87], [3, 39], [22, 61], [19, 65]]; loss = 0.009947 low_pass_filter = 0.300
+Epoch 0: | | 16449/? [2:47:53<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 16450; scene = ['cc62a8c047cea639', 'a8bb6bdd8e1832b0', '29d7ac3298d00f4d', 'ec5f9801aa83c8aa', 'fe0f537ed404cd7c', 'a2e2c2e66db9a05c', '27ff41a96f02b97c', '4b0a68d37406a651', 'aeaed8c44ce38f0d', 'a11b25880bc2ffd6', '04c4eef824be2a53', '6178471c127377c0', 'c36f204f4935f56a', '4c02e41f39fa24e0', '68e42cbc6dcfc725', 'e129207a6fb70b7a']; context = [[46, 90], [11, 46], [54, 104], [3, 48], [196, 233], [54, 92], [15, 55], [43, 94], [10, 50], [63, 109], [1, 42], [4, 57], [2, 48], [181, 216], [11, 48], [59, 96]]; loss = 0.010497 low_pass_filter = 0.300
+Epoch 0: | | 16459/? [2:47:59<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 16460; scene = ['c63798be59424d16', '9f589a27fa72f3fe', 'aff9cabf79a539a9', 'e019f256c86c3ffc', '835fcebe0e9a911d', '9ce015e049e794f1', 'd722e55b32424dae', '2c2893932017a26b', '0faf6d493edc4914', '279f2ecc43905a1a', '3333768ade9bae8f', '8b6fc7cfa0e1de13', 'a44aac7c4a36172d', 'de0b5f163df22bac', '21486972a7879594', '8b699056d31a8591']; context = [[16, 55], [26, 59], [31, 73], [109, 154], [55, 93], [3, 41], [0, 33], [184, 224], [166, 201], [59, 105], [63, 113], [65, 101], [6, 39], [27, 68], [11, 44], [2, 49]]; loss = 0.011467 low_pass_filter = 0.300
+Epoch 0: | | 16469/? [2:48:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 16470; scene = ['a7ca9f0764adf78e', '5d827aedb6743c14', '4c247f950b8fb4da', 'e204d13ff4cb3a75', 'a09912f76919c58d', 'bfee9e3164413741', 'e8e7f9455eb59fad', '65e2be2f97378beb', '355663af90d2391c', '47d92524baf3c7fa', '38a359f7eaeebdb3', '42b6210318e504de', 'fbec08173ef0bbf2', '9a10d4b47d4c3b2a', '81b75edec9e7564b', '9b08e398d3978550']; context = [[47, 84], [1, 40], [32, 82], [161, 199], [46, 99], [12, 60], [39, 87], [15, 51], [32, 68], [5, 45], [149, 201], [2, 37], [37, 90], [57, 107], [3, 52], [4, 43]]; loss = 0.008730 low_pass_filter = 0.300
+Epoch 0: | | 16479/? [2:48:11<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 16480; scene = ['ed61b288e9b09a03', '08866625f34ea7da', '8b1e6f0a13a3e381', 'd792c89551ca8937', '6fd4fa60b47978b7', 'e8dd93213b0a8a6c', '32cca1e716cb453a', '35fa6a277ead291a', 'bd8c187bb1893a47', 'e3590f3f596ed4ee', '337c6c2e1f2f13ef', 'ee251030064a2355', '0621c7675fab1418', 'cf55ee72cc78fb79', 'f71169f6eb2a1195', 'cf47d1935a474b1c']; context = [[4, 48], [12, 63], [88, 132], [77, 128], [21, 55], [28, 79], [11, 50], [24, 74], [12, 55], [24, 76], [86, 136], [22, 56], [163, 200], [34, 70], [66, 116], [1, 35]]; loss = 0.012314 low_pass_filter = 0.300
+Epoch 0: | | 16489/? [2:48:17<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 16490; scene = ['ce7f1f7743e50db0', '877ae8de01283e41', '43ed7dd9031ceff3', '3602ae51d17d2eae', '47746ad5be519fb9', '9ee5fa73fe99e590', 'acdbcb28dd49c56f', '82ea4274eeb55594', '55df23d234b7205e', '9880935a52f04afd', '4dee60242f765922', '01eb6c8433894c10', '2571e8a5ec86f29a', '0a42b3b1871b164f', 'd984e9eca1c93e8e', '076b919446a45cda']; context = [[8, 51], [60, 104], [94, 145], [175, 209], [38, 80], [104, 155], [183, 218], [38, 78], [60, 112], [43, 91], [109, 157], [192, 235], [50, 96], [10, 46], [26, 75], [22, 59]]; loss = 0.013664 low_pass_filter = 0.300
+Epoch 0: | | 16499/? [2:48:23<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 16500; scene = ['59e7b57c2b3e5193', '5d11abd1b3a2c610', '940a54fc74bf6989', 'f55cb7b3e9576297', '04db0c74a87be8d8', '25e15e214174cae1', '9c1370001dd0fce8', '9c981a5948974abf', 'b28237b49ddd8334', '1c6e6ef4307c9b31', 'cf931b8cbcea494f', '49e2ff49e509f289', '7c252390aca97d09', 'fe18c2f228437463', '85b2c7cb6c79a2d4', '3c9b19f5eec7e2f9']; context = [[11, 57], [89, 139], [74, 107], [28, 63], [15, 50], [43, 85], [42, 89], [16, 52], [18, 63], [0, 33], [35, 77], [67, 111], [0, 38], [73, 113], [19, 60], [0, 43]]; loss = 0.008074 low_pass_filter = 0.300
+Epoch 0: | | 16509/? [2:48:29<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 16510; scene = ['4025118849bd1fc9', 'c43ff457e5015148', 'c57d46c213a2a46a', 'e8ed0edf1828cc15', 'd9e0408022cf11f0', 'ccb63858c92da934', '4ef750416795cd71', 'bb145647bab18424', '197cb85cbf3263f4', 'ca09d2742228d149', '487fefd85739e993', 'a6787dcd34b17cfa', 'ee5b4ebbb76697ac', 'b317c015d408d7c5', '6f3192180e6c9291', '6ec14ec3dfb6a30e']; context = [[43, 82], [16, 56], [35, 81], [29, 64], [124, 172], [40, 84], [138, 177], [72, 111], [0, 50], [0, 34], [22, 70], [102, 137], [66, 113], [69, 116], [12, 64], [2, 35]]; loss = 0.007443 low_pass_filter = 0.300
+Epoch 0: | | 16519/? [2:48:35<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 16520; scene = ['194c15e39ebf1c3b', 'c424df62d1d99ef0', '250167e640ab77d1', '26eac1ddf9a6fd62', 'a790867f695ad987', '8b40751bc7ae46bc', '610d6f3a3f16c492', '939922a0254a05c5', 'e940cea9e3580353', '8db3a405c4842cd6', '55aa4a3cd7318e2f', '6dd2c631caf47e6a', '90d01e4b8ee39f77', 'becee945233fcda0', 'd26f678e625a520d', 'ea2618e237cec005']; context = [[32, 70], [5, 58], [36, 77], [92, 141], [13, 56], [37, 74], [33, 74], [37, 73], [225, 274], [0, 46], [17, 55], [6, 57], [11, 46], [25, 77], [0, 40], [12, 63]]; loss = 0.011491 low_pass_filter = 0.300
+Epoch 0: | | 16529/? [2:48:41<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 16530; scene = ['cb09920c02a2b6bb', '70285f05516940b2', '25bd820746058fb5', '9569fcfe82105f38', 'd93de5f6c62c01f3', '74c2c2c5287346b6', 'fc8aa2c335c15eb9', '15b37a12fbda65da', '6d5e73f24d60de17', '876b693d043b22e9', '29e96416e5219b28', '17f47ff41a55a6e1', 'e4b86bcc4becf58f', '7767685c39a88cf9', 'b992a00ff88142ee', 'e8e3024887fb5d1e']; context = [[117, 150], [22, 63], [43, 88], [61, 106], [29, 79], [107, 143], [78, 128], [52, 100], [7, 43], [45, 87], [200, 241], [57, 92], [85, 136], [24, 59], [147, 197], [33, 76]]; loss = 0.007754 low_pass_filter = 0.300
+Epoch 0: | | 16539/? [2:48:47<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 16540; scene = ['0446f3522cce8104', '28c643e2cd91f465', '245351b1b14b6bb9', '0ebfc63e0dbcb1e6', 'd737a4d00ba9eb96', '5a4a1a47759a6c0b', '2efc3baf2ea0c6ed', '4e442aff3cae4436', '0768f21ad0630461', '980bb6a8e697363c', '144751235f00d1f5', '1266df8efd97ae67', 'd4bd95f0a398f630', '9b45d2ca1091393d', '655bcaf421fdc40f', '383c79ab995746ce']; context = [[5, 57], [19, 61], [65, 99], [103, 139], [38, 77], [99, 137], [61, 107], [189, 228], [12, 46], [29, 62], [201, 253], [6, 54], [28, 74], [98, 143], [1, 42], [48, 86]]; loss = 0.010761 low_pass_filter = 0.300
+Epoch 0: | | 16549/? [2:48:52<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 16550; scene = ['69711e911821d37e', '06651a8cfc81ecd0', '1508350ec27926e6', '9a5226d734117ae3', '8c0dd4fb9f7d904c', '78bf163b6636f51e', '18e6ec722df65c3a', '596b54a850687238', '212b0a2dd86cce12', '504a6270d098ead0', '7eb04b1de022a341', 'c9c57f37b367d23d', '5a009a925d1f7941', '5dbcbba490ec1696', '008ec1473e4ce029', '0b3a912a284f41db']; context = [[7, 50], [49, 92], [7, 58], [44, 91], [67, 101], [32, 74], [13, 60], [1, 35], [22, 62], [21, 54], [79, 117], [8, 43], [44, 80], [43, 84], [51, 91], [156, 199]]; loss = 0.009909 low_pass_filter = 0.300
+Epoch 0: | | 16559/? [2:48:59<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 16560; scene = ['41454feb44f3cc7f', 'e93bb5f352f12779', '02ce170824e128dd', '1f5f168725874f3e', 'b9e20c6ca2630cad', '19d2cf167593bdb1', 'ca842b977ede6e8e', 'db1fc015ca238790', 'bc933b61d3c00879', 'a75db3b700245f5a', '7af65f2a557b7cfc', '91f3903b83e314c9', '49d7417d2f74b2e2', '9c2b47a9a5a229cd', '2371de80f56e9707', '7caf9a683e5004e1']; context = [[70, 112], [7, 55], [90, 139], [4, 37], [25, 67], [19, 62], [0, 33], [10, 58], [36, 78], [15, 53], [20, 70], [173, 210], [93, 140], [53, 89], [208, 260], [32, 81]]; loss = 0.010556 low_pass_filter = 0.300
+Epoch 0: | | 16569/? [2:49:05<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 16570; scene = ['9a32e97171dcdc9d', 'f78584b710d46fa0', 'e61c111b3956bcdf', 'ac0f95664c3961e1', 'f04477958cf96d00', 'eec912462d5e95c6', 'e2218bc3111b76d7', 'e95b823c237872bd', '2315795cf16ab002', '548abd0878bfb231', 'ac1670c77c47f6a9', '7ac6fe6b418993b8', '941e4f4114b4f932', '4bb641c3e5c902e4', '88c027f2e044a945', '1725fa1cae244fa9']; context = [[52, 90], [0, 44], [208, 255], [44, 83], [25, 66], [59, 107], [55, 93], [73, 118], [61, 104], [2, 44], [11, 58], [199, 246], [10, 57], [220, 259], [163, 203], [0, 39]]; loss = 0.010677 low_pass_filter = 0.300
+Epoch 0: | | 16579/? [2:49:11<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 16580; scene = ['160a5e836891dc9a', 'e2487e8621c1d42b', '00a5a09a0c68b59b', '9c8bf927b0761f2d', 'e78b09abb4df5292', '276ae8f6b469f3b3', 'a87240a7ca4f7f33', '7141d6c75e602276', 'aaee1476b3b12793', '7fd19d9b21ae1e60', '0dd520d7c9ae1242', '75b4cd7d12657847', 'd106596b3233f3c1', '5b84e5a4b0848d8c', '63cb8090d7354764', 'd347f976ced5d74c']; context = [[37, 80], [55, 97], [65, 104], [25, 67], [148, 185], [182, 233], [92, 139], [18, 58], [25, 72], [2, 41], [9, 53], [21, 54], [42, 94], [19, 59], [84, 135], [4, 42]]; loss = 0.009639 low_pass_filter = 0.300
+Epoch 0: | | 16589/? [2:49:17<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 16590; scene = ['6085ad40630a138a', 'c9ee1e12c5c90920', 'c88fe71343e3a0d3', '3ad98feb3c4e66d9', '57cfddd669e1b1da', '0bafd80c9e2ae41b', '376c7ff59babc257', '82fb5516a6e5c071', 'd931a9193e2395df', '81f4fc498ed094e9', '28a4394270ccaa8d', '60acba38edb03894', 'b6197b9b12d32b76', 'ba17dc92e29dd4b7', 'bcc1d58fad331d06', '4dd74d4d53abb812']; context = [[9, 52], [35, 85], [149, 195], [9, 48], [2, 48], [66, 113], [69, 104], [113, 154], [111, 153], [29, 81], [16, 54], [8, 55], [0, 37], [63, 99], [12, 64], [29, 81]]; loss = 0.010054 low_pass_filter = 0.300
+Epoch 0: | | 16599/? [2:49:23<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 16600; scene = ['49d32ba85482c428', '39d2744f8019224d', '5bd4d1f674a0278f', '015f881ba370e08c', '2fc85d06b56147e3', '367eaf0695769e06', 'dd5141d992727508', '5e323756316651e4', '1f239c3d12dd2cfa', 'b12d380a731ee016', '245538607cbf05f7', 'cfe1bae9cfeeab1b', '891d946e02df2fff', '997bd4fa68eadec0', '895921f7a73776fe', 'f0652b2d28100573']; context = [[23, 60], [36, 69], [9, 62], [46, 83], [6, 53], [0, 36], [24, 69], [6, 49], [15, 57], [112, 158], [28, 64], [15, 51], [20, 61], [93, 146], [76, 113], [192, 230]]; loss = 0.008875 low_pass_filter = 0.300
+Epoch 0: | | 16609/? [2:49:29<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 16610; scene = ['997190841d072d78', 'a353c5323b7e0cb6', '8e583ba05f91d104', 'b12fb462071f1eec', 'f9611b5d473cc69b', 'e5a7abc8fcb39e95', '1b557a9eebbab147', '4abcf4920859e7b8', '65fcc745c824ba33', '7c67c79eba0b95ff', '17520c287d5e4c23', '9bc1c2f13f879d20', 'e3267e9b09ec78be', '643c59587f0c6ace', 'de552e2c5d1182db', '83421bce3bf38f91']; context = [[1, 36], [14, 65], [24, 72], [1, 46], [96, 137], [35, 69], [33, 73], [2, 44], [40, 73], [0, 33], [7, 59], [73, 117], [179, 214], [1, 37], [21, 62], [0, 41]]; loss = 0.010602 low_pass_filter = 0.300
+Epoch 0: | | 16619/? [2:49:35<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 16620; scene = ['874990ab5347c13b', 'fa55a5c4e928c76e', '1d8cdf272844d0e7', 'dd633956afe48009', '8fd375312458cd70', 'be5fcdb076d77d55', '1e5630a1bf806a70', 'e86b478775b149eb', '0f7964b5630134fe', 'fc82d5366229a1a4', '90d6d007b496135a', 'efd3e783df28b0b3', '8ddffc7fdb1c965b', 'c8c4ca4eca6a4493', '39dc11e7396fa5f4', '384c333906ffc6ff']; context = [[49, 97], [196, 244], [86, 137], [53, 91], [108, 142], [4, 37], [52, 104], [205, 244], [9, 52], [0, 43], [14, 47], [124, 171], [59, 112], [40, 93], [20, 53], [112, 156]]; loss = 0.012010 low_pass_filter = 0.300
+Epoch 0: | | 16629/? [2:49:41<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 16630; scene = ['3083fb828649b8b5', '7c925f53e1814ec2', 'bc514648b0938a1a', 'd7297cc7a2f3e7e0', '1e4c7b6e4016e7f2', 'beb3094ce331d774', '48252dbf46e0db67', 'b82d41c62606a4ef', 'f5c3d0dba0b71ff6', 'b9e874c502b1faf3', 'a53872924436b2ac', '13729e96ff2f345a', '0cb5d3ad6b3a52b8', '6de65618fef3a792', '6bc3f69c7c3566e1', '8aac6e58ac48fd15']; context = [[24, 67], [89, 135], [29, 67], [10, 43], [7, 48], [90, 131], [5, 47], [38, 78], [16, 49], [49, 90], [117, 154], [3, 49], [104, 144], [46, 93], [10, 47], [65, 105]]; loss = 0.010718 low_pass_filter = 0.300
+Epoch 0: | | 16639/? [2:49:47<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 16640; scene = ['560319076127d040', 'e5b0abe398be6f94', 'c840e5b4075f8b10', 'bb7d9f42b30abb06', '42c7c30a9d8b0fbe', 'fcf176d504f6568b', '0196a7eaaa531630', '6aa7164b09ff6ccb', '8cd1fe5c1d816c1b', 'df05970fd15dc7ea', 'ae5e5dbd9e20ddf5', 'dc5fd47e44137f59', '6e4d322827dbfe13', '1ee2636c55442015', 'bd9a045455201b8a', 'd523e761452a2ad6']; context = [[45, 87], [18, 55], [0, 36], [88, 131], [0, 42], [5, 55], [49, 94], [45, 83], [13, 64], [9, 59], [24, 74], [224, 266], [15, 50], [23, 63], [104, 154], [8, 56]]; loss = 0.016317 low_pass_filter = 0.300
+Epoch 0: | | 16649/? [2:49:53<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 16650; scene = ['a9b70dd896f7e8e9', '1a76ad73eecd0b91', '0a3f340cb783c83f', 'ee3f3bcb1009b7b9', '1f9c765582d1ffac', 'b7b3c6a2d1d6dc61', '5e8bff39dc5bab67', 'cbd3d399620c0c8b', 'b3d77aa21637ed06', '7418538ade81e503', 'cfcadf0fe447c04d', 'c40eccb3fc4c29da', 'b86430392968f970', '3cd73f5f79d0989f', 'a126745e68e4fb16', 'cd1b750af1701dd8']; context = [[90, 132], [72, 106], [28, 74], [13, 53], [55, 95], [38, 90], [27, 62], [37, 80], [5, 54], [3, 56], [34, 74], [44, 83], [24, 68], [4, 48], [19, 60], [4, 46]]; loss = 0.009695 low_pass_filter = 0.300
+Epoch 0: | | 16659/? [2:49:59<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 16660; scene = ['48ba5d3eba7f107d', '55eadd0c79f625ca', 'a3a3b1ddde35d0af', 'fd416b7a03530167', '3f2cb8ac0da6c74e', '528b512ee4103c26', '0b2b86827d4d6a00', 'd33388f0d226900e', '36e29dd32c865d48', 'c89112df6cf82777', '75a03bf2bb77aef2', 'e2d87e16e404f4a5', '3ad6c4faa9fe5e60', '8160c9bb2be20ad2', 'bdc7f48c83230b3d', 'e290173c0fde2ae8']; context = [[12, 63], [47, 81], [22, 56], [180, 226], [21, 72], [20, 67], [14, 65], [44, 77], [71, 107], [116, 161], [75, 108], [0, 35], [13, 46], [4, 47], [5, 42], [47, 91]]; loss = 0.011547 low_pass_filter = 0.300
+Epoch 0: | | 16669/? [2:50:05<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 16670; scene = ['d507c913eddb9ac2', '2d9b94de9466e734', '7ec5403a77be6793', '1bb36d50ab9fd353', 'e8c5fdad60e58a8f', '920b80196dc8b79a', 'd1836ce4e817c104', '71de6eb329cc96bd', 'd1749b42c2b6082d', 'ab000b4f32ced111', '9aad28b8c911c8e4', '554eb9150ea16515', '2ba6db31b81feaf0', 'b373737df3e74477', 'bbdb60e0097e9ced', '95b37383d90fba88']; context = [[0, 33], [2, 39], [82, 133], [12, 61], [53, 99], [3, 54], [39, 74], [15, 61], [66, 103], [90, 127], [114, 161], [29, 64], [25, 73], [18, 66], [119, 171], [41, 74]]; loss = 0.013441 low_pass_filter = 0.300
+Epoch 0: | | 16679/? [2:50:11<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 16680; scene = ['8d856b3fe7b218fc', 'ba3f593f507bedc7', 'c0ea4f07034baf27', '0c67efe2da80d7cb', '6a046687caac99a9', 'f3b4df790b380643', '8c4146884f3b2e0b', '0e6408e3cf54fcbf', '833a186412602e0c', '1b5dd0e05a2659e8', 'dcab0d2b23297698', 'e96e8eac70fd14c4', '5c0ebf927a51f486', '926ea8590afa806d', '7483ea2572f76910', 'e62a1879a015a39c']; context = [[21, 66], [7, 52], [21, 61], [144, 180], [2, 38], [24, 62], [3, 54], [0, 37], [5, 53], [8, 48], [110, 158], [22, 71], [5, 44], [88, 125], [2, 45], [63, 103]]; loss = 0.008091 low_pass_filter = 0.300
+Epoch 0: | | 16689/? [2:50:17<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 16690; scene = ['96422d8d95f912c1', '1ac4cfaff40371ba', 'fc13b2d2ffbcffe8', '18e66f4ce4b016c6', '644b75fbb7a4ae21', '903f7c6f848de281', '5e1afe14aead7542', '77599310739d08b6', 'b5f5bd68eb8e3559', '8f6465a1108df3db', '6f8423afebbbbd25', '7fe9dbaa9948510b', 'abc3b644b75eae17', '2b7db567dee04ddc', 'f64fae58aadd8fd4', '522b199da9bbe5e8']; context = [[22, 63], [137, 183], [64, 107], [25, 70], [62, 99], [1, 37], [74, 119], [13, 50], [138, 177], [18, 59], [46, 89], [28, 80], [24, 65], [2, 50], [7, 44], [44, 94]]; loss = 0.009495 low_pass_filter = 0.300
+Epoch 0: | | 16699/? [2:50:23<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 16700; scene = ['4eec80e0fb6a8ac4', 'c9e4962b839dc968', '8970ad7f03d89ca3', 'd3d2180b3ad731a7', '92a9932b7fa61527', 'ce9deeefe10c3249', '22dbfd84cd374af4', '66d1245890c6990f', '293cd4ea27b9d506', 'd3e34d281b05cfbd', '4b1ee57bdbda4b1f', 'c7844a02eecf3a20', '57fea3ba60e21f7b', 'cbf08a650761cb10', '4c206a668c76614a', 'fdd1b75df1f41d71']; context = [[115, 161], [43, 87], [37, 87], [208, 245], [58, 91], [36, 81], [35, 79], [37, 88], [27, 73], [111, 150], [10, 47], [1, 48], [86, 122], [220, 263], [7, 60], [0, 36]]; loss = 0.012549 low_pass_filter = 0.300
+Epoch 0: | | 16709/? [2:50:29<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 16710; scene = ['04d616768a5d52af', '1a3e5a1b44f8ff30', '044648c2e23508a4', '9c7ec96e0cbf40c6', '5eea935c8a218780', '3dfc8ac22bab5f07', '01fb0d2034e3e06b', '7c7b689f1c4463f4', '2431c725d7485a52', 'fa5834342a26f1a7', '18560ebd5c866fe2', '5a40086fa7e40038', 'fcedc21510273dd8', '18e18c7f3e6482bc', '78dae64bda820a41', '9be854a74d88b726']; context = [[12, 62], [65, 109], [18, 65], [115, 157], [9, 59], [8, 41], [166, 200], [37, 86], [3, 54], [18, 68], [18, 60], [16, 49], [7, 40], [229, 272], [0, 36], [10, 55]]; loss = 0.009816 low_pass_filter = 0.300
+Epoch 0: | | 16719/? [2:50:35<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 16720; scene = ['f6a14acb31badb11', '5af3fa101b3b35b1', '8b3850a90cb424bd', '134ff951c2283cc8', '303d67a3e601258d', '6596ffa97efcd57a', '744f36678102a07e', '0cb5d3ad6b3a52b8', 'bc514648b0938a1a', '6de65618fef3a792', 'd7297cc7a2f3e7e0', '6bc3f69c7c3566e1', 'b82d41c62606a4ef', '1e4c7b6e4016e7f2', 'b9e874c502b1faf3', '48252dbf46e0db67']; context = [[35, 82], [47, 85], [156, 197], [27, 68], [14, 52], [0, 33], [11, 49], [127, 171], [17, 68], [17, 50], [13, 61], [7, 52], [31, 67], [8, 59], [79, 116], [2, 50]]; loss = 0.010822 low_pass_filter = 0.300
+Epoch 0: | | 16729/? [2:50:40<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 16730; scene = ['5f4855dff1edd516', '97c83a0fe6e01482', '3a0187dbeeea94c2', '5ac7c4ce642f7b05', '2266be279691ad87', '73bdc7d6ab5f0561', '615cc977ddbc7fb7', '959a7457a468f670', '4303746d8f23f16b', '2a61ab6496ec9188', '4f6984c28d90eb09', 'ed7099c368424996', 'bbda226808fce57c', '95c59cc52adedbc4', '8d8bd167d9a3ab72', '9af777f2db0a09a8']; context = [[12, 59], [5, 51], [18, 55], [7, 50], [30, 70], [19, 64], [65, 105], [33, 70], [29, 77], [0, 36], [20, 72], [30, 69], [64, 100], [56, 108], [84, 132], [21, 58]]; loss = 0.011088 low_pass_filter = 0.300
+Epoch 0: | | 16739/? [2:50:46<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 16740; scene = ['950e5a6e0fb54d44', '950264396c5a0767', '3c52aba6279f277c', '29bafea4e1c2b47b', 'ea2f644e1ae2e814', 'f48239bf83764a8b', '639e36e3a36a025b', '6ea3f9ffb32ea267', 'bd109e7ed7c027a0', 'fd772f6ff7936a2a', 'f5c8406a588131d5', 'f179064b7a845fb1', '8055c456d35e5747', 'f5f225a43fcecd0d', '446933c7668779a4', '836f0c4495d07958']; context = [[13, 47], [49, 84], [52, 95], [2, 42], [13, 57], [11, 62], [37, 75], [25, 59], [15, 51], [17, 54], [14, 57], [157, 202], [0, 39], [76, 113], [9, 55], [82, 126]]; loss = 0.014904 low_pass_filter = 0.300
+Epoch 0: | | 16749/? [2:50:53<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 16750; scene = ['558b37c5013253a5', 'c9aff096959107d9', '71f80ab4e9cbf2f7', 'f83ed991c4d270c8', 'e77831c1b48a833a', 'e456fc623facc848', '54ae80e682751efa', '3738d513d59db9ea', '538cf5bc7ab8cb9e', '4d09e3caa445622d', '5b7c70d9fd79a963', '0f710827f72bbd64', '9f9a401b7839cec6', 'a576a801c7d2ff46', 'fddbc6d91c32a72b', 'a77f347b88137277']; context = [[72, 121], [7, 48], [99, 144], [12, 59], [41, 75], [30, 73], [1, 42], [20, 73], [2, 38], [16, 59], [31, 77], [131, 171], [148, 201], [150, 198], [49, 99], [18, 63]]; loss = 0.011230 low_pass_filter = 0.300
+Epoch 0: | | 16759/? [2:50:59<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.10, train/active_min_children_step=4.0train step 16760; scene = ['6f20647f5a7ed154', '1629b949594b36b5', '9ab83ba6f3dee716', 'a8b56fce90c48de8', '98c237ae4512dea3', '2b8e43f68decbf09', '2205efb33334ea8f', '555b04ec3e3fc710', '6bb02bf6740f27b2', '3195df3ebbfdb9c1', '8b96a61e6f05c19d', 'c58bf448b40e390a', '538dd5c7aeb8a132', '67a807a77af5adff', '223679033769414b', '596b334e38aa8db7']; context = [[138, 174], [17, 50], [37, 78], [5, 42], [7, 49], [142, 176], [93, 135], [136, 189], [50, 90], [182, 216], [31, 77], [11, 61], [59, 93], [57, 98], [14, 54], [48, 88]]; loss = 0.010995 low_pass_filter = 0.300
+Epoch 0: | | 16769/? [2:51:05<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 16770; scene = ['0eab3863193dd421', '869e0400a977198a', 'f2bdcbd474fb6eaa', '829871f6aac182dc', 'f1b97299ba4e09a4', 'b6260001d0b9035f', 'b2d0cf16649a11ff', '7cfe674e154352e1', 'ea0a7e19773b74be', 'ac9cccdaaa5a82e5', '32026eaf9365e7db', '634550313f4a173d', '13a8f815ffa5c7c5', '2321b7480392d727', '714191750f8d607a', 'c70a7a553169a8fd']; context = [[23, 61], [3, 47], [157, 196], [11, 64], [37, 77], [76, 122], [19, 58], [9, 50], [133, 171], [81, 124], [184, 218], [42, 79], [4, 41], [65, 110], [117, 166], [60, 102]]; loss = 0.010969 low_pass_filter = 0.300
+Epoch 0: | | 16779/? [2:51:11<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 16780; scene = ['a0762a191cf2e312', 'b90f926bf47cd9d1', '31ae835b2eb61e9b', 'e20a4f5c2784fef4', '604e2e61caa05913', '482cd2b0a783cbf5', '377b8df58b1bcea4', 'ef610ce349b7310e', 'd78b7ca1fc737e45', '564f2112de1a31e6', '9e950a8db19553b9', '6c57ac55cbade318', '81a468d3d0771bd4', 'bff0f6c000bc59f3', '826f1e427bcb4f78', '1ec41f3828e1065e']; context = [[30, 68], [11, 57], [73, 108], [51, 99], [72, 111], [1, 36], [62, 97], [18, 62], [28, 66], [26, 63], [27, 76], [16, 53], [46, 83], [23, 64], [13, 66], [6, 49]]; loss = 0.008378 low_pass_filter = 0.300
+Epoch 0: | | 16789/? [2:51:17<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 16790; scene = ['d934b35f87276390', 'c4bdccc08c477c83', 'ec49c31e0ed06b52', '63c72633b167e05f', 'b597201478c9181a', 'd1540ecd58f06d9f', '67b85bfc841a71d7', '3e5b496f2549f58e', 'f7abb89a68f6b66e', 'd252ca12cb81ba14', '63833dc00510be0d', '817922fc5c11a43d', '00438c154e81cbd1', 'ca5b332151e25772', '9cd867f121e491ae', '9af973da0db34710']; context = [[55, 109], [31, 81], [35, 83], [37, 91], [37, 76], [24, 68], [114, 164], [148, 202], [60, 109], [25, 78], [50, 96], [35, 70], [2, 53], [32, 86], [11, 57], [17, 52]]; loss = 0.011045 low_pass_filter = 0.300
+Epoch 0: | | 16799/? [2:51:23<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 16800; scene = ['c424df62d1d99ef0', 'a790867f695ad987', '939922a0254a05c5', '250167e640ab77d1', '26eac1ddf9a6fd62', '8db3a405c4842cd6', '8b40751bc7ae46bc', '90d01e4b8ee39f77', 'becee945233fcda0', 'e68096411dbcfb80', 'f7e98150e81148f5', '172d7e9dc2acbdce', 'f0806f4f675052ba', 'd276fe0631793b12', '3d7b7b408f5369aa', '63ccdd61742e8f26']; context = [[9, 58], [10, 48], [6, 45], [83, 132], [17, 59], [140, 174], [45, 99], [11, 60], [23, 61], [115, 148], [121, 170], [11, 59], [14, 59], [55, 89], [16, 50], [29, 82]]; loss = 0.011040 low_pass_filter = 0.300
+Epoch 0: | | 16809/? [2:51:29<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 16810; scene = ['21f7836feb1b242b', 'aa4d43d0475497fd', '50efd0e453568e13', '1163ef0ceeaa9db6', '542fb98f0969665f', 'b5704443d4b5ce04', 'a677b452c1d32a1a', '05142a00b6495a1f', '4a5e00e5874c59a0', '5138570ee9fb39f8', '5a845bcedea8b147', 'd3de86460a44d56c', '8d802f615e1d7cd7', '24dc1ce125c61981', '2345c1b970fc7ed4', '666f5a578d31281f']; context = [[83, 134], [4, 39], [44, 98], [108, 149], [3, 38], [196, 236], [0, 33], [35, 86], [107, 141], [1, 34], [40, 77], [42, 93], [31, 75], [12, 61], [12, 46], [58, 109]]; loss = 0.009233 low_pass_filter = 0.300
+Epoch 0: | | 16819/? [2:51:35<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.50, train/active_min_children_step=4.0train step 16820; scene = ['cabfbc465785b68f', 'f40dcee8e5d60508', 'cd2a8b442f09b208', 'eaf53403cc8fc00f', '0db9e62369719bc9', '213f00b1b81a1208', 'fda5437ee76b48fd', 'a8cb13d02b8d08a7', 'bd182d46b53efd66', 'ad94a851400c5736', '38af842287d226de', '123647e02b47df3d', '33b0c1943b5521bd', 'bb4d83b6ed740f6d', 'ad671e492f0a9e7a', 'd72511cb9e41d03d']; context = [[28, 72], [18, 68], [1, 35], [115, 158], [1, 55], [9, 47], [53, 89], [17, 69], [42, 92], [65, 106], [25, 66], [39, 79], [19, 72], [4, 38], [73, 107], [15, 58]]; loss = 0.009604 low_pass_filter = 0.300
+Epoch 0: | | 16829/? [2:51:41<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 16830; scene = ['f62cafbcb5dc0acc', 'd363481754f5c78c', '558af3194bfedabe', 'bfb5f5711636d7a4', 'd9a1e79bb0bd315b', 'f96c98832d9c4b4b', '5b7a82cd75c44a7f', 'd553573faca5c814', '16e1c44254f04e8d', '4f202bd24cdf8dee', 'a3a5e373d876db0e', '524e550992aa6e60', 'c1f32a7a7ec37d39', '2eacf9db1843546b', '7300b62195688898', 'c495f01f294333ee']; context = [[196, 241], [4, 39], [151, 192], [165, 207], [53, 90], [19, 62], [116, 158], [17, 55], [46, 99], [50, 94], [59, 93], [209, 261], [16, 50], [1, 55], [49, 89], [13, 66]]; loss = 0.010625 low_pass_filter = 0.300
+Epoch 0: | | 16839/? [2:51:47<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 16840; scene = ['e4adb9e93fe8962f', 'f055075401468eda', 'cfdeec15070a0cd6', 'f08aa96535edc50b', 'f082dbd6772d5fc4', 'b6fd89bcc1a3e492', 'aa3b5c349a5b6bb5', '13626316610afcdf', '2afb4fb79374c5df', '2d5e417f2d32e8c6', 'a942c918e5a0a5a2', '528816af3113028b', '81241c1cd3ffd69e', '26d5677e0637ed14', 'afd894a4b5460a20', '1ba3ae46eda9f013']; context = [[9, 45], [4, 49], [0, 33], [30, 75], [121, 158], [76, 112], [2, 37], [30, 78], [29, 64], [57, 106], [24, 59], [86, 122], [98, 146], [29, 74], [0, 42], [15, 67]]; loss = 0.011478 low_pass_filter = 0.300
+Epoch 0: | | 16849/? [2:51:53<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 16850; scene = ['be5df0ca4b8aa89b', 'dd6ba5f92f331866', '3e728ab85f6d379a', '67748b0b9af1a23d', '6998b51bcccaec89', 'ba892f5e3631896f', '2bae15c9bc833a3b', '2b1474ef6b7f54c1', 'f41915d4a145f023', '0f1b3073367716aa', '35fd56526e0b499f', 'b4be0875a3ba2ef9', '828a0089d23ff57d', '262db70f07b5c256', 'b43ccacdb8b2f53c', '9db2375dad6ffbdd']; context = [[18, 65], [20, 56], [97, 149], [33, 67], [38, 73], [18, 71], [68, 120], [21, 55], [237, 270], [12, 48], [66, 101], [60, 93], [3, 55], [7, 51], [0, 34], [75, 112]]; loss = 0.010203 low_pass_filter = 0.300
+Epoch 0: | | 16859/? [2:51:59<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 16860; scene = ['5e7040c6384bdda7', '4a08d8aa17ee55a3', '3fd549f7eef1c12b', 'f1c5534a927740e6', 'c7215b566312abe9', '02dd8df555843071', '589af20d18528628', 'd467c876debd93df', 'a017e3c508e5c39a', '3a9e7a5c6602e858', 'da2332618f4fa3f2', '2a76acf0be4bee42', 'efd029ba74d35034', '35a4da1b96cb6e60', '937b5aa2a14d6fe7', '94a380cd813f4f2e']; context = [[14, 63], [31, 78], [45, 78], [9, 49], [16, 70], [196, 250], [96, 134], [3, 50], [108, 149], [151, 200], [30, 69], [166, 214], [120, 170], [47, 99], [133, 187], [96, 150]]; loss = 0.011452 low_pass_filter = 0.300
+Epoch 0: | | 16869/? [2:52:05<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 16870; scene = ['6e699ada5d23f8c9', 'b1ac6f21c376eed5', '188c4d1c3452fd73', 'a31eadf1684fcffe', '88938961b84f2cd7', '56c780409feaf822', '7d9f0a9a5c3551e2', 'eaf7c66419fde6ad', '64199c57dfb3dc4e', '96e895a56fe2a34e', 'da4f6bfe896bf2fe', '05661e760ecdfa96', '2374bc3470d48b9f', '8dba01274f32578e', '1c92d53dec160984', '5036537ac2e39315']; context = [[37, 83], [20, 54], [101, 140], [21, 75], [63, 105], [156, 210], [33, 80], [15, 54], [45, 97], [12, 63], [52, 94], [6, 59], [1, 48], [0, 33], [181, 222], [72, 124]]; loss = 0.010701 low_pass_filter = 0.300
+Epoch 0: | | 16879/? [2:52:11<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 16880; scene = ['634f920c02c317c3', '0b759c1c970bfe98', 'ee9f906c4e9e242d', '232a8c69d8f69af4', '194c25038fb3e6c0', '85f61a2f217786b2', '04c3209481ae9313', 'bb2026b2cead287d', '5f2e62b6917bab16', '9261780ce2ed716b', '0c6d43589658b86a', 'ee18efbe4a7eb53b', 'f2b30a3f90bd17c2', 'b348801a033b5ef5', 'b531cda2072028fb', '1c0829e90380c26f']; context = [[179, 228], [13, 66], [24, 72], [80, 118], [0, 33], [70, 119], [18, 59], [73, 114], [17, 55], [9, 47], [104, 138], [91, 142], [148, 189], [181, 235], [159, 204], [67, 117]]; loss = 0.009048 low_pass_filter = 0.300
+Epoch 0: | | 16889/? [2:52:17<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 16890; scene = ['c49e167a84d72291', 'd4b4ea66ce8976c2', '3cca42257738a064', '86c66c9de3f23f19', '45739d66bf8aa9d1', '961055a7dfa29f84', '388b447651d1a756', '4804f8a94c3f38e6', '8fdc56361649abca', '37e9852ebeead35e', 'd68e42512bdc7c57', 'fdff6d499fd2416f', '62eeeb4ecfb9d1cc', 'c38ba3bd81257841', '08181ef1861a03a7', 'a864c0d0ec25cb6e']; context = [[11, 63], [33, 74], [25, 69], [16, 51], [32, 73], [41, 92], [22, 75], [13, 59], [22, 55], [5, 55], [37, 72], [4, 57], [28, 69], [14, 57], [35, 72], [4, 41]]; loss = 0.009898 low_pass_filter = 0.300
+Epoch 0: | | 16899/? [2:52:23<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 16900; scene = ['14d89e024187afdb', '5addef32e61e7498', '70302975bde04daa', '3a4fb93324c90edf', '6cb7d29fa6e32c8e', '8ad12f82604831ac', '7fa8074110860165', '19fb248c2b403705', 'ef1196bf52c8c50a', '2bdb3406f16ec041', '8760dc9905cbb635', 'd1aaec1fc9be0aea', 'd54ea874f00250aa', 'f207cb485d4f1aac', 'c503b9ffcd10339c', '7b25f4b3c3a88b47']; context = [[68, 112], [65, 108], [222, 262], [91, 127], [4, 50], [39, 91], [66, 103], [114, 168], [29, 62], [1, 42], [37, 84], [5, 51], [2, 55], [5, 58], [13, 51], [134, 170]]; loss = 0.010638 low_pass_filter = 0.300
+Epoch 0: | | 16909/? [2:52:29<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 16910; scene = ['661b412c0ef5f819', '15a3783a993e55a3', 'da782b30b0b6bc41', '3408995412c71eb3', 'e83dca98ff6fdc86', 'c691beea7df05a40', '1eb45f47b1509115', '5bab9e56ca2eabe0', 'aa1e963ae2f0a73a', 'fafa77e0610a59e4', 'f3ad8ae9b2a860ef', '1d2da5cf4b75687a', 'bf1749022f7b7fc2', '1e8a9f8690b19a68', '1e4f512b8bd2b62e', 'ab5d20183d26c933']; context = [[26, 65], [92, 133], [7, 50], [6, 56], [11, 55], [150, 204], [39, 91], [161, 199], [0, 40], [19, 68], [60, 101], [60, 94], [21, 71], [53, 97], [18, 63], [66, 108]]; loss = 0.007701 low_pass_filter = 0.300
+Epoch 0: | | 16919/? [2:52:35<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 16920; scene = ['7c8c185289523ea9', '7dc6d699abce873e', '64cc6af0c7229fb1', '4d4f720dec4fa445', 'eecadb9a970dc48b', 'fd19e81423738735', '6b0d837f8a76bdfa', 'dc9a6a4fc9b636e2', '3b0f1085de3b498b', '12a77ae2a659adda', 'c0e445194231c60a', '9acb1d0084b09bbb', '91f5b5db4a1cf28d', '5302190e283157d2', 'e9cfe450f0115ed2', 'bcb74250aa1495b2']; context = [[121, 161], [9, 61], [72, 115], [2, 40], [11, 58], [1, 49], [51, 96], [17, 55], [24, 69], [86, 120], [138, 177], [33, 74], [16, 59], [37, 73], [17, 63], [2, 40]]; loss = 0.012017 low_pass_filter = 0.300
+Epoch 0: | | 16929/? [2:52:41<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 16930; scene = ['531ecbac17b31733', 'c87c8f9c8b42399d', '8c08d0f4c0dfc8a6', '7afc07b02ee54c79', '6b49b064dfdce852', '426956bab78ab4ca', 'de012df6e6222077', 'f4700ebf3f93ccb8', 'ca5692698819b101', '86d1360e786d5674', '45b17882258efb79', 'f1569d827ce5bec9', '2899818a923e235c', '50f6be03ef653e15', '37273e37a2c3573f', '981717c755ee3435']; context = [[88, 122], [16, 51], [72, 106], [68, 115], [81, 119], [0, 50], [5, 59], [23, 70], [162, 209], [19, 54], [51, 90], [9, 53], [124, 163], [19, 70], [79, 126], [45, 97]]; loss = 0.008474 low_pass_filter = 0.300
+Epoch 0: | | 16939/? [2:52:47<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 16940; scene = ['44cb993e19c042ab', 'a56927ac0e84b487', '452bec637695fb61', 'b1c215c60a91a1dd', 'ca042138cc5291a8', '041e80ca1179ed69', '88dcb5cdf83eef5c', '969e0fb4ea498d2a', 'bf0c5cb654dd1e0b', '700ac3a4e337c355', '89f06e96811dd13c', '91a5dc05e579c726', '3ea61742c00855cb', '1792af41faf897c4', '6aeff4800dc767c8', 'c3c8552b354f54ac']; context = [[17, 66], [46, 80], [1, 44], [41, 77], [88, 141], [24, 71], [11, 51], [2, 54], [150, 186], [0, 39], [14, 57], [31, 76], [24, 65], [31, 85], [65, 105], [131, 173]]; loss = 0.009330 low_pass_filter = 0.300
+Epoch 0: | | 16949/? [2:52:53<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 16950; scene = ['8059bc76d9f034c2', '9b44d7f7f1e76dda', '474702f1cc9d2dac', 'f2fbebb2b7cb9d0d', '81940f462ed20fd9', 'a8f16a0f9e66da3a', 'dc844d908c631b63', 'c9c9a2028bc5e37b', 'dbcf7e96dd9449e7', '9f62a023f2d748f7', '6f097566ab5011da', '413e3b5c119710b3', '8610476b7d4b2394', 'e487dfe02526a996', 'edcd44d4c23f5960', 'a592370324d5bbdf']; context = [[10, 57], [127, 168], [24, 60], [79, 126], [34, 74], [15, 66], [217, 264], [51, 90], [7, 49], [43, 93], [29, 68], [0, 34], [55, 108], [165, 206], [14, 62], [2, 38]]; loss = 0.011285 low_pass_filter = 0.300
+Epoch 0: | | 16959/? [2:52:59<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 16960; scene = ['282251d1ef15c3fc', 'db58e56a77e22e0a', 'ed3943cd4cc04675', 'dfd13cc7c237647a', '28357ccbbe8b3bed', 'd35352a9381704a7', '518d383bfd978431', 'eccf2be869b9e84a', '69e0fa97f9a68c7c', '865d357681dd22f3', '51d90b37d02bd775', 'a6bd696e47aba3ee', '2aa3c28014bcbce0', 'e41d5e0099b0696f', '2653badbfaa18ad1', 'cc7dcffc9cba38a8']; context = [[11, 62], [101, 154], [15, 56], [77, 117], [65, 113], [9, 60], [3, 41], [2, 54], [1, 55], [26, 65], [16, 67], [34, 79], [4, 38], [163, 197], [25, 69], [52, 103]]; loss = 0.010669 low_pass_filter = 0.300
+Epoch 0: | | 16969/? [2:53:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 16970; scene = ['adee1fda5e363a59', 'd84de7a276ad1354', '3c51203a37e1310b', 'fad77f857cd4faac', '3c124a8f0d2e2988', 'c34c5bd5ccbc0ee5', '1b4dc23d94ab138a', '3897774841845bec', '6c48f5bd433bc366', 'eba582c8dd116c8f', 'b33364f7f8aba9ab', 'cdf78598acfcccb0', '7dffb84793d6b079', '79c81482b548f084', 'b12a0ab351bffd0a', 'b446d15cc675595d']; context = [[17, 63], [51, 99], [34, 80], [10, 49], [49, 94], [21, 63], [34, 85], [4, 55], [221, 275], [74, 122], [9, 51], [31, 77], [5, 42], [87, 133], [140, 189], [41, 76]]; loss = 0.011522 low_pass_filter = 0.300
+Epoch 0: | | 16979/? [2:53:11<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 16980; scene = ['49ba6fbb5a39e7d5', '1c4c1047238bde1e', '0de33ad1ded7a060', '39bcb80c02b8b0f0', '2dc5db0ae2b383df', '3bac8b9c47707a8a', '0678547e251bcd60', 'a9bcbc63daf30f4e', 'f8755c049d3f8fcb', 'f7da323950f255a0', 'c7525636cfe06a5f', 'efcd0fe138d9992b', '519d7a7f0dbf9716', 'aa8e2ed16c3f2308', 'b8f57558cebff3dd', '30f99445639473a1']; context = [[24, 65], [28, 81], [190, 240], [15, 58], [58, 98], [38, 82], [24, 72], [21, 64], [89, 131], [57, 105], [8, 47], [23, 76], [22, 66], [53, 98], [125, 165], [19, 65]]; loss = 0.010727 low_pass_filter = 0.300
+Epoch 0: | | 16989/? [2:53:17<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 16990; scene = ['bd295705900345f7', 'f348b20c0df04245', 'a2e5f84fd671b85e', '04b29f18ba65f722', '57ae59b355e37b50', 'b17c9946c0e0e6fe', '32e9d44c0fefae3d', '1c8b746ddda69773', '4c9482bed56c9547', '43e8d48009f94e90', 'b3f9679d73187a63', '2b5ec5055f9e0ecd', 'b17222ffdec1f134', 'c0e5cfa6c1302f81', 'f73b5c1b901e8d1a', '65410d22f0d980f7']; context = [[30, 77], [58, 105], [38, 75], [2, 43], [106, 146], [0, 39], [110, 145], [37, 76], [23, 64], [88, 141], [30, 73], [179, 230], [33, 81], [12, 59], [1, 36], [105, 150]]; loss = 0.011192 low_pass_filter = 0.300
+Epoch 0: | | 16999/? [2:53:23<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 17000; scene = ['0349f032659258fb', 'c98d9b6f2e9c005d', '118c225404e57623', 'd466f84e957e9c2d', '76085f8dc1114a69', '46b507d43623b833', 'c9f78fa882799a27', '02366c12e5d264fb', 'e80172408be42618', '0510e6f8eba380f4', '6f906f4748dd243a', 'e6e618b39c52caed', '52530a8fe72a85df', '9e0aee54a72d5c8a', 'ad39efaa855a34bb', 'b25b63d8a5e5ce25']; context = [[213, 261], [0, 34], [14, 68], [38, 73], [227, 263], [16, 50], [0, 43], [7, 55], [21, 71], [2, 52], [184, 237], [3, 37], [68, 120], [1, 46], [8, 54], [2, 37]]; loss = 0.011113 low_pass_filter = 0.300
+Epoch 0: | | 17000/? [2:53:23<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0validation step 17000; scene = ['a76028640ffa1ef9']; context = [[44, 85]]
+Epoch 0: | | 17009/? [2:53:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 17010; scene = ['3e66bf60c7f50ab7', '092c1cc15c452bd6', '54b960b8b5796026', '5de8312b044bfbf4', '3c4dae9a42a1b679', '3dc1bc07386e66b5', '3ea2086a5a93e0a7', '8ff871dae459ab68', 'b6f81740db95733f', 'eb045b0c67e1cc71', 'cce12f667de01766', 'cc2051c21229d188', 'a1964349d4f19aa0', '6415de64be8a1d74', '6d8e7a426f555248', '965f4c3a2e84ecc7']; context = [[21, 75], [110, 148], [21, 56], [12, 49], [0, 39], [107, 143], [143, 183], [153, 206], [101, 138], [39, 79], [76, 119], [32, 72], [36, 82], [1, 52], [89, 140], [6, 45]]; loss = 0.010766 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 17019/? [2:53:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 17020; scene = ['8bc26f82dadee1c0', '407e64bbe95a2336', 'a71ed4c29df993de', '2c42ecf0e006ed5c', '99a7922ce3f339aa', '92b69a523d36863f', '053d861859d48b97', 'f6ed403d51c084b2', '047e7dfc69533d85', 'd23c63fc810f3d43', 'f04708b15586fceb', 'a79878c670ca903f', '47d8f4be2be93a36', 'e94399e61cdc8ee7', 'c3f121951504f029', 'f279ee0ac940c8f9']; context = [[36, 70], [29, 74], [13, 67], [4, 56], [10, 57], [29, 64], [123, 177], [4, 44], [30, 73], [4, 49], [17, 70], [38, 72], [94, 145], [116, 167], [26, 77], [36, 78]]; loss = 0.008617 low_pass_filter = 0.300
+Epoch 0: | | 17029/? [2:53:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 17030; scene = ['b68285617c255443', '6a38e494b3371e30', '3b7054d1e4881a90', 'e60f2d56d3feef82', 'faba60084d22aa27', 'df922a3fc957bb93', '01cd742e8f7fda57', '6dd75cdaf50e9f87', '72b1eb34465dea7e', 'e50e924b3bdf807f', 'c40b23830f7437d5', 'ee7cb189dff51d83', '28f9227604f33f64', '85e3c5ccde13145b', '60c8edd3f5ec8481', '46fa4e4e3b142efd']; context = [[119, 163], [6, 60], [15, 56], [19, 64], [21, 73], [28, 70], [30, 74], [6, 48], [20, 69], [9, 46], [29, 72], [91, 130], [5, 49], [54, 93], [24, 62], [9, 63]]; loss = 0.011115 low_pass_filter = 0.300
+Epoch 0: | | 17039/? [2:53:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 17040; scene = ['335a90126c68ec87', 'c54bfe167a0e4773', 'feef4e3a0d101f5a', 'e0091fd81f0ce93a', '8e62365855773861', '51d79c5142e1a325', 'b204577ce9893435', 'cb400c50ad429f45', '79bde1fcb9c993da', 'f7d91f705d469f6d', 'e458f0d06334a2d3', '241a367e7f124257', 'f727b968f8aaec7e', 'f10337e17c9ca699', '2c6682e7b1e7b23a', 'f78c2005ec943a78']; context = [[47, 84], [82, 128], [20, 68], [99, 145], [1, 35], [24, 69], [61, 113], [31, 72], [7, 61], [21, 63], [7, 55], [2, 38], [24, 69], [4, 55], [9, 45], [35, 81]]; loss = 0.009687 low_pass_filter = 0.300
+Epoch 0: | | 17049/? [2:53:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 17050; scene = ['219e3cd4f5998cc4', '71d54dad3eaa8ed1', '84425155e64a60a9', 'c41173a3b4eefcf7', '62319ed3333b356a', '8ec583b55bdf23e8', '195eabfe437c8f75', 'b0f5b20c5724e592', '9a89163b62f0a058', 'e4d86068c95e0922', 'c35de22a7238f9a5', '4ec29bd9dfd30c2e', '5e916cc9972aa61b', '31411305ea3662c6', 'fe8c395dd70d4844', '3bee0daad1cc6c0b']; context = [[32, 69], [17, 63], [30, 66], [19, 67], [20, 59], [17, 53], [74, 116], [8, 57], [1, 46], [77, 125], [30, 73], [20, 72], [43, 77], [104, 144], [122, 167], [19, 64]]; loss = 0.008647 low_pass_filter = 0.300
+Epoch 0: | | 17059/? [2:54:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 17060; scene = ['dc1ae8c3ae7797ff', 'cb4410e6d2705491', '031413325619677b', 'f9e33a1d57250855', '87c907d8c8c4d7d6', '07d2d2d6cbd3f15e', '75ed6690375be78c', 'e49884a3a277d320', 'ef44b8efeb7e8b0e', 'e0be76d8ccdc1fbe', 'd3b81862311a4624', 'c19839af089b3874', '19d29b637c994752', '62f7a22bf40a9004', '009b0cac4a16bbaf', '8b73b17ffcd8757e']; context = [[16, 55], [64, 100], [159, 207], [13, 65], [13, 66], [0, 49], [11, 48], [0, 49], [80, 126], [3, 39], [4, 39], [23, 76], [44, 79], [1, 42], [40, 86], [208, 245]]; loss = 0.011588 low_pass_filter = 0.300
+Epoch 0: | | 17069/? [2:54:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 17070; scene = ['c0a2a9fe9e12ea72', '2f4a9af473259598', '270c1019e4348197', 'df29eae05ee5e69f', '91cc4e583ef263cd', '0396aff627f9d9a5', '35f3fc9b63fabd73', 'b2b3eb2502433212', '0c2e8dbc7c1fa4d3', 'a0c2e85b87cdef90', 'a020f3293839f1a5', '4fa5b973a37f2ed4', 'e14f4c7e2b5bf74a', 'ecb85a80a1fe7b8c', '9e2be97628cfffeb', '3b253958e49a169f']; context = [[35, 79], [9, 52], [102, 137], [95, 143], [184, 230], [0, 35], [9, 55], [16, 61], [106, 144], [32, 84], [61, 107], [22, 56], [14, 54], [37, 81], [4, 53], [91, 145]]; loss = 0.008662 low_pass_filter = 0.300
+Epoch 0: | | 17079/? [2:54:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 17080; scene = ['a580f9d21fe00fe3', '7ee115fb205f848f', '5dc01b6fd67b6f09', 'c650dda53967eb05', '4f31c3d2031ae29e', '1355b7884090c3d0', '78dbc8c7b542378d', '8a287cd8d977e84a', 'c3e699494a58052c', '2a32ff1118f52fb7', '1ff7f4b8ac696e34', 'c10b4020a9263a81', 'ad66977725bc0401', '3d324e5e8a7790b5', '24502963bafe2fa5', 'c8e171e498269ea3']; context = [[22, 63], [42, 78], [179, 227], [0, 50], [94, 138], [13, 47], [0, 36], [26, 65], [128, 181], [6, 49], [20, 61], [124, 173], [15, 63], [166, 201], [101, 138], [2, 41]]; loss = 0.010827 low_pass_filter = 0.300
+Epoch 0: | | 17089/? [2:54:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 17090; scene = ['96dcb0a7845a1ab6', '50468b60ba969ac2', 'ae558864399fd682', '5b7ab1a8989e1729', '475cc5043cbf31f9', '011a1765540790d6', '9c04b2fd1b51976e', '4001bca52ac28925', 'f9f50b21184a798c', '6b3f79a3dae10bdf', 'd95573ce88bcad09', '349c6cc920ba7868', 'd44961c44fa2d3d0', '8fcec41b125f2f6d', '9399f9e7caae9a7f', '214eeca1d9687332']; context = [[25, 61], [59, 96], [129, 164], [36, 75], [65, 113], [14, 51], [15, 54], [23, 58], [125, 177], [61, 100], [3, 38], [40, 82], [103, 137], [66, 118], [123, 159], [136, 185]]; loss = 0.006858 low_pass_filter = 0.300
+Epoch 0: | | 17099/? [2:54:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 17100; scene = ['625edf02592241ed', '94ad9ac9d5fc25d1', '25d7392ac5ae9066', '4245275cf50205b1', '9c8d61c37c4bb315', '771c929fa8c4439e', '61ea26e539098884', 'f6f36f1a0e886abf', 'e6f0f9dc45e9f66e', '4ca12bb4344471f6', '9bc6d79bdd9830a6', 'bd7a0a337366b1ab', '4684bfc4b6330cdd', '53bb7687bdc3282a', '2ac56a8829302097', '117084f0d6d10590']; context = [[62, 115], [35, 76], [35, 73], [16, 63], [45, 82], [72, 126], [8, 52], [32, 81], [9, 54], [81, 130], [121, 171], [10, 46], [94, 133], [176, 222], [8, 49], [0, 39]]; loss = 0.008935 low_pass_filter = 0.300
+Epoch 0: | | 17109/? [2:54:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 17110; scene = ['af6d66e39934570d', '241995896e6747bd', '038c23fe8ac608d2', 'b4ffacdfb98be7ce', '303d1041d98346d2', '4474d194f5b20728', 'c1b291bac208f824', '267652292cce84a3', 'bcc2187b08eddbf5', 'cb7ea96f12ceed00', 'd4e5b689bb8bc4a3', 'b937245ac95ab2b0', '6f70b8b96a4b3dca', '84d2075f2f6732cf', 'aa96090d6b108262', 'e020be14afb3ef14']; context = [[0, 54], [17, 51], [228, 274], [23, 57], [5, 57], [28, 77], [15, 64], [46, 80], [51, 95], [6, 46], [52, 105], [13, 64], [201, 243], [0, 36], [0, 36], [19, 53]]; loss = 0.010005 low_pass_filter = 0.300
+Epoch 0: | | 17119/? [2:54:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 17120; scene = ['7335bd33db6d2d91', '88658444df71b1d6', 'f42eeca464640993', '0c213df8885d4df9', '465039bf0f4b6bd2', '923d2553d35a6d22', '1c9d768cb2dd54fe', 'a8da855d8a0a54da', '5c9fe663b5ef4455', '645af66f6d7059dc', '1bf242853e2b9c54', '54c3ef2cb5c61855', 'def88f4446e088ca', '9a00dd7d0e69b57a', 'b3b45ff1b4002fc7', 'c99ebaa0555a7955']; context = [[15, 52], [119, 160], [9, 51], [49, 86], [3, 52], [4, 40], [124, 175], [4, 41], [37, 80], [8, 51], [42, 78], [31, 76], [57, 91], [100, 137], [65, 111], [107, 149]]; loss = 0.009941 low_pass_filter = 0.300
+Epoch 0: | | 17129/? [2:54:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 17130; scene = ['52a7652d2757e859', 'c4052755634f3314', '77825008ac6c663b', '03c1440995e0347f', 'ec16d4512645786d', '28020e268c1ba216', '70e6dc2e07efc73a', '3cef0299f276cdad', '2b38f48e832e8d20', '8f733bc506395644', '3fc3f1b211ad15db', '013ff0b9b7a67bc5', '742beac7bb67515b', '911a6a269ecf479a', 'a7ea6ef04df2bbdc', '35bedfbb2558fad8']; context = [[20, 65], [69, 106], [133, 182], [74, 117], [59, 110], [31, 78], [53, 88], [49, 90], [67, 116], [223, 263], [171, 225], [8, 52], [24, 77], [11, 64], [75, 110], [50, 102]]; loss = 0.010089 low_pass_filter = 0.300
+Epoch 0: | | 17139/? [2:54:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 17140; scene = ['0f941bf5ec6453a0', 'f9eb1bd8462ced40', '590fb5ac33ed6860', '798d4e7752255a53', '0ddbd037f8183e3a', '956267e1db06952f', '10e35fb0eb1b120d', 'd7f009ec2ab543f3', '6f842ac896c325b6', 'fc0ba1bf5a6cbd74', '793708890c361a00', 'd60f30aa087b87cb', 'edc12d141059e496', 'b45439e3cf90cb9a', '357ad9c49b80724b', 'b95e6cbb519ddddc']; context = [[11, 56], [7, 60], [26, 63], [21, 74], [31, 80], [7, 60], [1, 55], [84, 129], [28, 77], [19, 66], [5, 57], [1, 50], [146, 195], [127, 172], [0, 46], [0, 37]]; loss = 0.010149 low_pass_filter = 0.300
+Epoch 0: | | 17149/? [2:54:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 17150; scene = ['cc1fdafaa596fd5f', '9d228d632f9612e9', 'd3c7f6d65edf8757', 'a3881eb3102f8e4c', 'fe88b975469701fb', '8853c3fc40c69e24', 'd4a18ba57cd873a7', '9350ed954b95682f', '78dcc8fd482170fe', '3b0f30c03d38305c', '453429d863b9b773', 'a2ad60f6809b316a', 'f9e747a8dcb47bc4', '2a5e3ab469ccb5c3', 'd942a5d66855a121', '7e71fa90b85ee375']; context = [[22, 59], [7, 50], [68, 117], [93, 130], [6, 49], [19, 61], [98, 139], [36, 83], [61, 96], [13, 65], [13, 49], [1, 35], [104, 152], [9, 63], [0, 39], [38, 90]]; loss = 0.012210 low_pass_filter = 0.300
+Epoch 0: | | 17159/? [2:55:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 17160; scene = ['f384611b03428126', '87c924499e6e0e27', 'a88e46e5d8711c8e', '889141249495d6d5', '525a5fe905539bc0', '9dbd9623f02b4815', 'd93bfed273f01550', '07e88eb06321ac86', '792a9b92fbcee6fa', '7dab9695e01f4319', '760361a82cea8c5d', '5afd54ff10bf02f5', '09ec3ba64451d91f', 'e6838327fd08a47b', 'c44b05bc3683cf18', 'c1ac66bd67982f21']; context = [[133, 185], [9, 46], [141, 176], [109, 152], [95, 149], [38, 85], [41, 83], [2, 48], [122, 176], [0, 35], [0, 34], [13, 55], [81, 133], [109, 155], [96, 141], [180, 219]]; loss = 0.011542 low_pass_filter = 0.300
+Epoch 0: | | 17169/? [2:55:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 17170; scene = ['c1028e67d73c3504', '7c1e5a3898536693', '20551c90baa98c3e', '75b86a4e2efa0937', '9232ef6ebf4bc047', 'ac9aec32ea6234c2', 'ba044124b9e7261c', '0032c663bb6d838e', 'afd79cf17dab3e39', 'ca1925532ad236a0', '83723529771921b7', '2de19cb1c144c8b4', 'ac090d5fdb989475', '4762616d9149433e', 'be3290ac59571445', 'd0c8bd037dd1a8ba']; context = [[116, 160], [15, 56], [139, 191], [18, 61], [4, 58], [4, 55], [60, 98], [19, 62], [12, 47], [25, 63], [40, 93], [44, 93], [57, 104], [150, 201], [35, 80], [223, 277]]; loss = 0.010357 low_pass_filter = 0.300
+Epoch 0: | | 17179/? [2:55:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 17180; scene = ['30ad1d6e17b4922b', 'e1cdd73fcf663dff', '9b70ba2ecef9d91d', '9e6f2056c8787023', '571bc82e203d6e84', 'a1cf0d72e2f4cbeb', '72077f7ff39fc73e', '59ebce57c53ebc37', '491d332fba39e8e8', 'c2df147f839336b2', '3c059c9f50dcc56d', '3a5dec27496963c2', 'e72d14392e5d51b2', 'c029a22f68cdd079', 'f40f4fdf9aca7261', '924fff5f41aae7e8']; context = [[5, 49], [24, 63], [50, 84], [24, 72], [3, 55], [132, 181], [20, 54], [33, 82], [146, 192], [27, 71], [45, 81], [17, 64], [98, 140], [45, 92], [40, 85], [0, 34]]; loss = 0.010626 low_pass_filter = 0.300
+Epoch 0: | | 17189/? [2:55:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 17190; scene = ['df6fb10595c0c3ef', '92085b73d95d15f2', '479768833c417c3b', '26c72ee0b0e70272', '0f57d75b30d65539', '25b566c54e1d3c7d', 'bb1d884c7bc6f463', '109d95d5de8c2056', '912d4cd827238ee3', 'b38f933773a331bf', '823ff9b8738d5853', 'e0f9634ac743f6e8', '8411baa1ad3a5c6f', 'ce284b41bc2d6abb', 'edb0f2f1872ff393', '15121aa15652bcdf']; context = [[64, 106], [32, 73], [8, 44], [24, 73], [198, 251], [70, 120], [4, 55], [142, 193], [1, 43], [30, 81], [27, 67], [224, 265], [43, 94], [40, 78], [16, 56], [17, 62]]; loss = 0.009121 low_pass_filter = 0.300
+Epoch 0: | | 17199/? [2:55:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 17200; scene = ['e41a92954c7e94eb', '28c643e2cd91f465', 'aad75ba6e6c3304d', 'd737a4d00ba9eb96', '2bb62d9b59e51b1b', '0446f3522cce8104', '2ef7707bb9e354e0', '8467aaa6db783cbc', 'e6f956faeeda3603', '245351b1b14b6bb9', '0ebfc63e0dbcb1e6', '24fb04f6ecb97aec', '33f46a908c161d84', 'dc104deb60486231', '2f28a310a0d3ac6c', '2f3cad0f7199ac5e']; context = [[125, 170], [18, 70], [90, 138], [77, 117], [175, 228], [4, 38], [11, 53], [11, 49], [43, 85], [20, 59], [96, 143], [113, 161], [69, 112], [93, 132], [173, 209], [75, 109]]; loss = 0.010242 low_pass_filter = 0.300
+Epoch 0: | | 17209/? [2:55:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 17210; scene = ['28d7e19c6e24d569', 'cf8c3e84083060ba', '3ac6879302091914', '30c166d197c85de0', '63a408decbee5e99', '334347999e76c28e', '854117547c5691d6', 'ed8897f38ed6abaf', '75a17f30ebffbc88', '87d078a6132293af', 'a9ed25f9d08ff868', '4ae0c60db6050947', '7543d863a85dcab7', '2d8d59ff223d1b70', '4b7068f19d61a837', '8a34c9e16476e41c']; context = [[11, 58], [5, 45], [9, 53], [27, 75], [92, 133], [130, 167], [30, 81], [36, 85], [43, 77], [99, 147], [20, 60], [76, 127], [117, 166], [62, 116], [7, 43], [3, 53]]; loss = 0.009766 low_pass_filter = 0.300
+Epoch 0: | | 17219/? [2:55:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 17220; scene = ['ae9b392cb1d7be26', '70e09b2da21c935c', 'ce638637eab9cbb2', 'a39de974d72b88b3', 'a7344e0356bfba18', 'c31c5aec6ca52a0f', 'fe05283c708c2589', '2a28036d98f5a42d', '6f4f54d89383e1ba', '2d41ec8c58a78215', 'dad3fa29c9da9853', 'd378db422fda516e', '798ed35225d5c255', '9d46e65b9edc9c15', 'fd84675a5268e518', '3a444379f8c5e5c0']; context = [[56, 102], [29, 77], [71, 108], [50, 87], [71, 120], [110, 144], [76, 115], [27, 67], [117, 170], [23, 74], [0, 34], [6, 54], [65, 105], [17, 71], [40, 93], [92, 138]]; loss = 0.010414 low_pass_filter = 0.300
+Epoch 0: | | 17229/? [2:55:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.70, train/active_min_children_step=4.0train step 17230; scene = ['832c5a630af6b768', '854e67be5e2269ae', '88ccb97711c25fc9', '00104677f98ca3c9', 'cd5d7eac3e6a67fb', '660fc47d4cb5662b', '62a47e085a693e44', '067a40549516856a', 'c35be1e2bf7eb5f6', '16a7631f41a026e1', '669a9eadc281948b', 'e81fd25426cbbad2', '74ed41fdbece3110', 'd51cf8e527ea5cad', '264626db21145229', '3541705e5a095fad']; context = [[57, 105], [142, 189], [155, 192], [18, 72], [34, 87], [88, 130], [0, 46], [50, 84], [7, 49], [101, 140], [34, 69], [25, 65], [107, 145], [37, 88], [170, 216], [32, 79]]; loss = 0.009907 low_pass_filter = 0.300
+Epoch 0: | | 17239/? [2:55:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 17240; scene = ['b71de1418024429e', '99275d4b28ffb60e', '98d64344265fe299', '11a2c0c4293ef929', '45e5425f05ee618d', '8bad178a126aa250', 'c2d5ef83e900091a', '36b0adfd5af637fd', '0cec598f9763507d', 'c070670de913d617', '1be1019456e06288', 'ceba1996f22e23cf', 'c2ded93be50fa46f', 'ab4e8dbf1b415f7c', 'eb5b0e050d74b9eb', 'fd99963ac0e17872']; context = [[23, 74], [19, 54], [26, 61], [15, 69], [87, 127], [47, 91], [54, 106], [0, 36], [61, 95], [58, 99], [90, 130], [16, 61], [102, 138], [144, 186], [145, 182], [83, 137]]; loss = 0.009713 low_pass_filter = 0.300
+Epoch 0: | | 17249/? [2:55:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 17250; scene = ['b1f83945819bf93d', '89e1c4aac70781af', 'f4b26427077d5667', 'deed4a471d865bb9', 'e597cea834c91e41', 'ea49a3b5c6b61957', '2e13dea1198140d2', '6181d3a1bc07ad1d', 'ee8bf5f75501704f', '5eb07ee6a9e4fec2', '7ba01a87a2fd75c0', '2f365fb5323c52fb', '8554f2acd95818b3', '96941c9ccc27e289', '182b14c15b9b7951', '7feae1e0e2c1701b']; context = [[11, 60], [44, 90], [20, 70], [16, 69], [129, 171], [33, 69], [19, 72], [18, 64], [8, 54], [23, 68], [12, 57], [30, 66], [20, 60], [145, 186], [14, 60], [57, 111]]; loss = 0.012027 low_pass_filter = 0.300
+Epoch 0: | | 17259/? [2:56:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 17260; scene = ['7af8f06cde2e3206', '86bfd95d15e6e77f', '7c3e16fde4732eb6', '9c0371059c58a78e', 'ac0818d6a000ee99', '8fc39b497270f565', '0a6bb5a921dbfc12', 'f83a72a27b18dc03', 'f0b547776a72c454', '8326d223160e7289', 'b932fc784f7f24d8', '3d0bbce736659b1e', '42ea0dcb2096483b', 'e1049fac3065b063', '3338a85eb3222a45', '5838c99eb85b98be']; context = [[56, 100], [40, 77], [6, 45], [22, 68], [107, 151], [77, 113], [13, 62], [23, 58], [95, 146], [89, 141], [43, 94], [101, 136], [34, 84], [15, 54], [3, 37], [58, 99]]; loss = 0.011489 low_pass_filter = 0.300
+Epoch 0: | | 17269/? [2:56:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 17270; scene = ['1d4d4b5e150e7725', '98357a968617da0f', '365f9473b7425fce', '94189ff3621c2388', '8246e3493d527708', 'a260f2e7feb368fd', '8090675e3d0b56c1', '684bfafa652a719c', '312885f77137bd7c', '9bc5981d26dcfc62', 'a8317f5de4f6f22a', 'a4fe80b618bb7456', '9b4eb74c4f2839ce', '3d9dd3d10965c92c', '2f0784d93c5026a7', 'fa94d8d381572a52']; context = [[191, 235], [11, 55], [35, 80], [158, 193], [29, 81], [9, 53], [5, 58], [1, 52], [12, 50], [20, 61], [37, 90], [21, 74], [23, 57], [6, 50], [52, 96], [0, 40]]; loss = 0.009951 low_pass_filter = 0.300
+Epoch 0: | | 17279/? [2:56:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 17280; scene = ['32975f7fa4ec8e80', 'aeb84a5999cba0c0', '93b5d419e723bfc1', '7a244e6ffc814898', '0ab1a55e644c522c', '51cea299a0fa2ead', 'c6dd634f18d3ad0c', '11f312ad09ee6d28', '7808917f0ae566fe', '610e089703fbf242', '880ce15f4c5534f5', '982b49d62fce9a8b', 'c236a71b90766557', '8be1d279b9a576fa', 'f20d239e72115520', '77e2d47cdc2eb3f8']; context = [[109, 156], [65, 106], [0, 47], [102, 145], [46, 94], [42, 86], [1, 35], [125, 159], [39, 91], [17, 64], [79, 117], [87, 136], [8, 48], [96, 144], [4, 57], [24, 59]]; loss = 0.011044 low_pass_filter = 0.300
+Epoch 0: | | 17289/? [2:56:17<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 17290; scene = ['5349b3c8a5a44631', '4cbd09ce15023033', '5517db8c137cd522', '09adc9c073dcc81f', '1546d04a6b9feb92', '346e62ad09069013', 'b9d744bbfbf05528', 'b511c88b16643809', '6fc73551f1244422', 'a1fad01a8c249fd3', '1e543f770095bd2f', '4e99ce8dc4d1064e', 'f760b9c83e882756', 'f67681804659fb89', '46aec7ec241892c7', '59220df676c7b430']; context = [[94, 140], [133, 186], [1, 51], [34, 72], [18, 71], [72, 113], [8, 45], [17, 61], [9, 57], [134, 178], [3, 43], [10, 55], [4, 48], [32, 81], [25, 62], [183, 231]]; loss = 0.011565 low_pass_filter = 0.300
+Epoch 0: | | 17299/? [2:56:23<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 17300; scene = ['fd425ce849268367', 'a464ead502832cec', '55e8766149262fb6', 'e77fa90c3f42729e', '1e78ea9d561515e7', 'db02ec541d6a9556', '7bb5cce3ca41718a', 'acff72df83292068', '2ebff1fdfce42b62', '00c14c53270e07a6', 'f450b5eb36699b57', '51098eb8a77e3976', '403074ff29418d5d', 'cbc71a203e10b3c6', '3b8ba0075b0ab75b', '5bbda319111f9dea']; context = [[46, 90], [35, 83], [18, 60], [73, 119], [2, 42], [25, 77], [7, 53], [174, 218], [36, 80], [21, 60], [176, 211], [7, 43], [11, 57], [129, 176], [225, 274], [90, 135]]; loss = 0.010484 low_pass_filter = 0.300
+Epoch 0: | | 17309/? [2:56:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 17310; scene = ['42017344e5434d5f', 'dcd2dfbfa3ccc955', 'a5b5b7be760b108c', 'a842f67726ffd425', 'a36e9e7dd71ca980', '6c1c5a9b3c6db4a3', 'a8c23400a2bf1eb5', 'f9819d0fa6976ef4', '4e4314a00227ed83', 'a3c290d59ba3d57e', 'b7f11264f90f9fdf', 'c1067c28947eb908', '227bf499869cf372', '83085493f4bc18d2', 'a6d8c29cc124ba06', '3ecc9dbeec2451f0']; context = [[4, 54], [5, 56], [9, 57], [0, 40], [26, 65], [8, 52], [7, 50], [8, 54], [68, 112], [25, 79], [1, 45], [48, 95], [14, 48], [194, 246], [14, 53], [39, 91]]; loss = 0.012415 low_pass_filter = 0.300
+Epoch 0: | | 17319/? [2:56:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 17320; scene = ['1ced80cbf1496d81', '17087361201e57aa', '6b02b1580ce47546', '73eae9f932758309', '3a045112f60a54ed', '0ba3f75a6d43a1e5', '1f6a034a8566831c', 'a814455509c872b1', '49e7e9cb5d2d82e9', '6f6d8dcd978753a3', 'ac205c8547a2a317', 'c08033a1903bc740', '2962fbb4bfaa1f12', '14f3add9df8c5c11', '3151db5299095375', 'f8acf602b1dafce1']; context = [[30, 75], [16, 70], [17, 63], [16, 56], [35, 69], [22, 64], [223, 265], [0, 52], [65, 102], [31, 65], [108, 149], [102, 142], [25, 77], [22, 76], [25, 76], [2, 47]]; loss = 0.009496 low_pass_filter = 0.300
+Epoch 0: | | 17329/? [2:56:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 17330; scene = ['9c7b700f9c5cc6c6', '62939c5723d59295', '3758fa83d2a9fb3e', '904d484708497799', 'ae047d3f44cebf1b', 'ee4e748066074d37', '6374e51e6160a80c', '2f182e9cad395982', 'd74d97ede645d0e9', 'd02fee3a4d2fc50c', '475c74936027f242', '1c90cb2d24fd41fc', '16149ec14b18ca2b', '1b5e1ad1d9c9e3c9', 'd281422330d41e4b', 'db661815480bb340']; context = [[45, 83], [19, 68], [15, 60], [116, 169], [7, 52], [6, 55], [54, 98], [58, 95], [137, 189], [153, 201], [14, 60], [11, 64], [124, 177], [19, 63], [0, 36], [9, 61]]; loss = 0.009649 low_pass_filter = 0.300
+Epoch 0: | | 17339/? [2:56:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 17340; scene = ['5201b074adcc1957', 'c79eade117f25328', '9ec8836d9eba792e', '4530113d1d7f71db', 'b62d5f970d1517b6', '015be5260cee24a6', '70b2f221ecf229c0', 'f94029860c968603', '3efcf64764442ba9', '3a5a38a182b82f99', '17d3a16e71d99061', '43efc8210bf1153e', '11866a7205664134', 'cb2397daeb2ee8e4', '615d2eda2a3d4f7b', 'd101a39a319befa5']; context = [[10, 57], [23, 62], [230, 272], [18, 52], [18, 55], [14, 64], [6, 57], [26, 64], [216, 250], [15, 61], [26, 70], [0, 39], [8, 56], [99, 140], [29, 83], [31, 85]]; loss = 0.011112 low_pass_filter = 0.300
+Epoch 0: | | 17349/? [2:56:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 17350; scene = ['00c7f4d292a58bd3', '7a93a1f75a9636ca', '24aa7d35a296bf5b', '47421c0e831f93ab', '29813418d3210005', 'f01f0f602cf82f5b', '6f9de440653bb88a', '6dd17de596dae3be', '6a1c56504c0bb47f', '3494d1f46ae280ce', '79cb5fc3ee21d2a3', 'b46de0d3730fbdbd', 'a0792de6d36408c4', 'e1ba571bfd9cab32', '29b8e57e47c3e036', 'c3f698f6017a16e0']; context = [[16, 63], [23, 60], [59, 104], [0, 41], [21, 68], [10, 45], [31, 80], [169, 210], [176, 216], [3, 49], [22, 77], [17, 56], [15, 62], [3, 45], [33, 74], [0, 41]]; loss = 0.011130 low_pass_filter = 0.300
+Epoch 0: | | 17359/? [2:57:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 17360; scene = ['78b83f9c9174e8cc', 'f22824c5468fb8c3', 'e51df845689c6cb9', 'b52ac8e1e536022e', '6b76cc89f4505af8', '28ab3a87b2f367a5', 'c93b45709f307e34', 'f5a466f01a58dd13', '5fd925386deb1ba8', '92747265b0111abb', 'f5e2894f19b60dc8', 'c0ab759d761f2868', '6b076ff0fa76674a', '7f6642220b54f702', 'c87ed13477475e4a', '1dddf8460c0c49cb']; context = [[22, 77], [89, 126], [50, 94], [124, 167], [3, 42], [9, 47], [39, 94], [19, 56], [90, 142], [57, 102], [186, 224], [3, 54], [157, 203], [29, 74], [0, 45], [125, 173]]; loss = 0.011648 low_pass_filter = 0.300
+Epoch 0: | | 17369/? [2:57:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 17370; scene = ['0c8af3fa6aa60dea', 'c5105a963e0519d3', '85098f10e7c0d7f1', '05eb05f4a63e0df6', 'b3569c0aa91a5faa', 'f904ba6dd57174ee', 'a86c32a25b92f015', 'e3a85631198a6eac', '6bbb1f05446d7e85', 'ac090d5fdb989475', '74cf66be9d66c8c2', 'be3290ac59571445', 'd0c8bd037dd1a8ba', 'ba044124b9e7261c', '2de19cb1c144c8b4', '4762616d9149433e']; context = [[15, 68], [51, 93], [45, 88], [18, 68], [2, 42], [147, 198], [106, 158], [25, 59], [9, 62], [72, 111], [57, 100], [19, 67], [196, 239], [63, 99], [68, 105], [151, 185]]; loss = 0.008799 low_pass_filter = 0.300
+Epoch 0: | | 17379/? [2:57:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 17380; scene = ['bfd08d4d51f0a055', 'f91c62cbc0f2b02c', '582b5253fe22067f', '915ccf1d0279d962', '3d4fbb163ed0c038', 'e317628493b63975', '0e04ac8477cdc1ba', 'bd0014e1f2db0016', '7f373c1d63fc0e8e', 'c4b807c5b04029a9', '7f81996fad0f7caf', 'ced85ab956a4190f', '77bb1e0d667eb2c5', 'ce4777cadfe8febc', '498070d8ece368c7', 'cb089fc0fae599b5']; context = [[58, 102], [24, 74], [12, 51], [15, 54], [140, 195], [2, 38], [8, 45], [144, 193], [105, 144], [94, 146], [98, 147], [2, 37], [142, 192], [0, 44], [6, 51], [4, 47]]; loss = 0.008667 low_pass_filter = 0.300
+Epoch 0: | | 17389/? [2:57:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 17390; scene = ['2dd4348bf334f7f7', 'b486df0b098bcc25', 'e912d7de697c9fd8', 'a3506d8f0aed9de9', 'ec70c52a97e8e104', '2832d0d39446547a', 'e3b1b3e6d12279fc', 'cb2ddaa9993016b6', '513ea4881175cd55', '1898b76cb20a242e', '4ce8a0dbb1d21da5', 'fc6fa0ffe5614ab1', 'd8cfd5145f06d42b', 'cbe056c6fa310143', '33c9561e60c5c3bc', 'ca566378f9664a37']; context = [[23, 65], [11, 60], [33, 77], [5, 40], [16, 53], [46, 83], [38, 73], [23, 77], [109, 160], [65, 118], [58, 107], [30, 84], [56, 111], [29, 70], [23, 73], [6, 48]]; loss = 0.011885 low_pass_filter = 0.300
+Epoch 0: | | 17399/? [2:57:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 17400; scene = ['eb9e48a39e18f88c', '0511be7085235229', '9ffe1fc23d69426f', 'c8198e376ce5fe21', '2ba6db31b81feaf0', 'b373737df3e74477', '9aad28b8c911c8e4', 'ab000b4f32ced111', '554eb9150ea16515', '920b80196dc8b79a', '95b37383d90fba88', 'd1749b42c2b6082d', '1bb36d50ab9fd353', '71de6eb329cc96bd', '7157a08b4d909e22', 'e8c5fdad60e58a8f']; context = [[27, 62], [23, 78], [144, 178], [136, 180], [1, 37], [11, 66], [84, 118], [60, 103], [44, 82], [7, 55], [70, 106], [62, 102], [64, 119], [22, 68], [26, 75], [11, 48]]; loss = 0.011500 low_pass_filter = 0.300
+Epoch 0: | | 17409/? [2:57:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 17410; scene = ['61b60c1a300d909c', 'dfe8c32f21d4e1ab', 'ffe2fb4a8427467b', '97e9ea755077ac70', '1f933c21bbd26682', 'abd07a71f19759aa', '049782b6f061709a', '1e946a362b6b9ca2', 'eed7e480a5e88553', 'a0c40378636aecde', 'b23bded8b95915ac', '14865449e509b130', 'a895d0e5fbebc994', '3e568ab74fb51248', 'e4b7df0920724ef1', 'b69e804602b55e82']; context = [[8, 51], [57, 106], [1, 53], [15, 51], [90, 142], [2, 46], [27, 67], [9, 64], [62, 107], [105, 157], [3, 49], [12, 63], [43, 85], [52, 92], [5, 42], [13, 58]]; loss = 0.009270 low_pass_filter = 0.300
+Epoch 0: | | 17419/? [2:57:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 17420; scene = ['47c3b50322e55489', 'c0d38d3d85f3587f', '72d340cfdb0640bb', 'f25b83126f93a7bc', 'b4fefac33cb2a6fc', '2531098998f5cd5d', 'e5bfaf251bfc0fdd', 'ebcd26ab4dad008d', 'fcee35b9d73232c0', 'e3badc148ab39dab', '494c8291355b23f6', 'b0297962c0089ed6', '3c7e0966e4a6ea3a', 'bc80922928a2c064', '68c475f64bd7d97f', '6a2eaa760582f0bb']; context = [[0, 47], [29, 83], [63, 109], [42, 94], [205, 258], [174, 214], [21, 64], [7, 53], [41, 93], [108, 156], [52, 99], [68, 118], [82, 116], [168, 223], [2, 55], [43, 91]]; loss = 0.012753 low_pass_filter = 0.300
+Epoch 0: | | 17429/? [2:57:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 17430; scene = ['6df9f1b8d7da72d9', 'd87d256563a679ea', '3a64dab609df8d4f', 'fc149c075035ff5e', '7bcc6fac9d4dac2d', '9bf7354c65f026a3', '56b0e5cd58300dc0', '631a74f12218a536', '4d08f6508693b522', 'b329ba03c3c5cb90', 'f4077924d862e6d9', '1503f70f0474756d', 'cdbf2daab70da231', 'a379ab73e44fcde5', 'f86918b379c67b4a', 'b40b16262771f2d6']; context = [[73, 125], [34, 88], [5, 57], [10, 51], [1, 35], [3, 41], [21, 65], [2, 49], [155, 206], [6, 53], [38, 86], [0, 52], [34, 75], [5, 58], [54, 109], [2, 57]]; loss = 0.010060 low_pass_filter = 0.300
+Epoch 0: | | 17439/? [2:57:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 17440; scene = ['18608d94d4769a68', '7cb6e645ee870b6a', '55f83ad68913a83f', 'e66478d7a8e3268c', '4619634afa74b44a', 'cfaa564b4d0c3e02', '341f28178feeb2a7', 'a9adef412237b777', 'd2d6b67d875ba2c2', '61122e2b98ee1111', 'c63f34f53f21597a', '79c41801a595cd0d', '4ac950133d60d999', '884b01a2969cafb5', 'a0ba85aa47c9baff', '2e1b06354f9b419a']; context = [[24, 60], [1, 54], [40, 82], [20, 58], [18, 62], [80, 127], [5, 59], [179, 215], [33, 83], [22, 63], [11, 51], [135, 189], [154, 201], [37, 86], [0, 48], [22, 77]]; loss = 0.010581 low_pass_filter = 0.300
+Epoch 0: | | 17449/? [2:57:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 17450; scene = ['9c0371059c58a78e', '86bfd95d15e6e77f', 'ac0818d6a000ee99', '8fc39b497270f565', 'c09279de7db2ec5d', '14707a2c1b0fcecf', 'b5ffcfc422dbe3a7', '8e2f95c6e2e99cdc', 'd484fdccfb8ae744', 'd64d80b0d85f497d', 'eb5d56e4da7b94fa', '732cdb405077b80b', '2f1cb8a99895e3c6', '33fb674e0225b459', '10052d72091ff512', 'ce95e17ba7e4dc6a']; context = [[26, 62], [19, 67], [97, 149], [40, 77], [36, 89], [36, 87], [11, 52], [16, 68], [17, 57], [11, 65], [98, 147], [3, 39], [53, 92], [13, 59], [7, 60], [27, 81]]; loss = 0.010741 low_pass_filter = 0.300
+Epoch 0: | | 17459/? [2:58:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 17460; scene = ['1b9b2c962bf3474e', '57f25347d2ad3668', '7721ab02f58499f3', 'db01d08461cc24d8', '41d454a6a4ccc3c6', '35e2e0c67e738b87', '29fb114d6a8e8b4f', '605c98b35d15551d', '8b81f3d28dd590fb', 'a7067337ddfb6af5', 'e9c6f415d779746b', 'bea5493d136e28a3', '2daabb0611aabbcf', 'ab03c2979623d6cb', '090ced9a667843cb', 'a5d054dc249a0291']; context = [[45, 82], [34, 84], [37, 74], [97, 151], [160, 202], [62, 97], [25, 68], [152, 201], [82, 116], [89, 130], [3, 43], [2, 43], [192, 236], [80, 114], [123, 172], [16, 60]]; loss = 0.009975 low_pass_filter = 0.300
+Epoch 0: | | 17469/? [2:58:05<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 17470; scene = ['7982c04ab0f83614', '219070c8f28a0fe3', '74cf8d7236ba20a3', '4a2bd9d10797e87f', '71af1e40d14233f2', '2b4332a5bbbc50d4', '9d74a520fb1eb89c', 'd3d56c592a69253c', '8088dba438e87a09', '5bbae3d047eb84f7', '3db247f055f7e4ea', '18622e59c80cd655', '3d3facb1425b30d2', 'd8b3d968d826dae5', 'd644cfb925683a58', '5e0d1688b8de8814']; context = [[103, 141], [30, 78], [7, 42], [39, 80], [29, 67], [9, 52], [96, 150], [64, 101], [134, 181], [24, 66], [22, 64], [85, 135], [25, 65], [5, 42], [60, 108], [11, 60]]; loss = 0.010638 low_pass_filter = 0.300
+Epoch 0: | | 17479/? [2:58:11<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 17480; scene = ['939b149fc1e94463', '2c59402512b86195', '69368851abc7c9e3', '623d5619e4702864', '804998e7ec39d253', '68528e468bf52aca', 'c8a89452aa4cf54f', 'b950cd4348d01e2a', '27c55b5a9f12362b', '0d75be966f561519', 'eba4eb617aa5d763', '0d32af0aa9eaae9a', 'c5f6f1a662e28071', '555c778e6f96777a', '3678468a9d6d42cc', '3baa46d1f38c6c0c']; context = [[109, 151], [20, 74], [54, 92], [26, 70], [113, 162], [51, 95], [19, 69], [25, 75], [71, 125], [2, 45], [13, 60], [1, 36], [88, 136], [90, 139], [54, 100], [43, 83]]; loss = 0.009899 low_pass_filter = 0.300
+Epoch 0: | | 17489/? [2:58:17<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 17490; scene = ['042c8ee300f52641', 'd3aff83016b5e0f6', '41eee0d73b5ea2be', 'ab835dbe3d68c7b3', 'b42eba12a2d472f2', '1549c6877baaa3a3', 'b1db6db47eb6c3de', 'a6cd9e57513d0f5b', '0ce3f01ab4230413', 'd91d403fb54cd658', '881588d40d5d70dc', '3aecc725df673f7e', 'c3f2554fc64f42ce', 'bfacba0a18500c13', 'ee9222a1310b093e', '2dd2a1adc0c1d4cc']; context = [[2, 45], [13, 56], [98, 139], [66, 103], [30, 83], [77, 116], [28, 62], [17, 58], [31, 83], [78, 122], [2, 38], [77, 112], [45, 92], [5, 54], [6, 48], [73, 108]]; loss = 0.012504 low_pass_filter = 0.300
+Epoch 0: | | 17499/? [2:58:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 17500; scene = ['07ffd9c3d6f843fc', 'eb10805a2b162c35', '9131db90d0d6a335', '49fd72b56adf9337', '099e1ee28f91b5be', '4748fe2cb767550f', '5d7f5b9a999487a2', '467ce656f484a23f', '8f00ee0979b9f3eb', '4e9777ce94f7ff22', 'dbdb7f0982601de9', '94650809b1bfebe5', 'a060b2c8c0b177f2', 'a0cca65da804c483', 'c8e2e5dc5a80dc4c', '0655e66efc0c661a']; context = [[70, 111], [2, 56], [15, 49], [77, 118], [50, 99], [48, 83], [10, 55], [0, 34], [35, 82], [0, 50], [14, 49], [11, 51], [162, 199], [0, 37], [48, 85], [82, 134]]; loss = 0.009056 low_pass_filter = 0.300
+Epoch 0: | | 17509/? [2:58:29<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 17510; scene = ['f346ad8f09bae95a', '85b956080085cac5', 'f9b775ee94d60763', 'e7ae5d42e1d888df', 'f7f0c6e26e4ba0f5', 'ed41e978b59c7dcd', 'ca6fdc4b5c38fc1a', '18f0c92d9d8786dd', '4690c960b7afdb40', '893b447be20a73fc', '98735bf18e9d2a52', 'fc434865599d2fe6', '8cd1361a46b83202', 'e4b3ebbbbdeaf6bb', 'bc8f126be579d04c', '4ba2e9259191e39e']; context = [[21, 74], [23, 66], [48, 83], [26, 76], [33, 72], [66, 112], [59, 95], [216, 265], [45, 99], [47, 82], [123, 168], [8, 46], [6, 42], [12, 51], [33, 83], [11, 45]]; loss = 0.009799 low_pass_filter = 0.300
+Epoch 0: | | 17519/? [2:58:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 17520; scene = ['319a31f5b39470e3', '0000cc6d8b108390', '44a06a79451f1d5b', 'bdca46414cff3a7f', 'e3d743c0a3aeaae2', '2e26fef30ca12494', 'b66fb806ce03f4b4', '7f97434269dcf098', 'a9b9180673bd7d49', '74b722de71061ce5', '3fe88d40aa66d61e', '801df40f6493d352', '208b5060a974d802', '27d7650462d5f41e', 'b43a3a4a11bd7b0f', '0ea7729a41de01f0']; context = [[242, 276], [174, 210], [19, 62], [6, 46], [123, 168], [117, 171], [123, 178], [45, 98], [116, 150], [22, 69], [44, 93], [31, 69], [0, 53], [82, 121], [37, 76], [0, 37]]; loss = 0.009295 low_pass_filter = 0.300
+Epoch 0: | | 17529/? [2:58:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 17530; scene = ['697df23e9f5fb6f5', 'a92ffea4cbb162e4', 'a029fa2714aad1b4', '062f247f28a18c88', 'a913e7af2361fa6f', 'efcc78e944058193', 'aeb3b560bf97252a', '5e5f701fe882a93b', '3965a7b13519ef13', '3b1525a730772be9', '3de1498cc3dc5051', 'd71857a07329981c', 'ea4dc2ebdb122af5', '18d54ee95eddac1a', '7ee233bf0f5ae3e4', '5e90ad5c785214d6']; context = [[27, 70], [7, 53], [130, 166], [0, 40], [0, 49], [5, 57], [39, 75], [5, 60], [121, 173], [55, 109], [16, 63], [27, 78], [106, 154], [2, 47], [71, 109], [15, 56]]; loss = 0.010369 low_pass_filter = 0.300
+Epoch 0: | | 17539/? [2:58:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 17540; scene = ['251628bd898c68dd', '2229b8d2a24db935', '02b58a9c0d23dfa7', 'a9d0cd8dfee71c9f', '961043c3b6f3d58e', '59bc59a125c32162', '80c2ce56967f5f57', 'b2cccedbbe313d14', 'ca4826b99127d53e', 'bce98e8b68871207', '057da8262a5b4f36', '0d49d0970586d7e0', 'be214e004bc8d513', 'a77f347b88137277', 'fddbc6d91c32a72b', '3315c801dd9c35ff']; context = [[52, 91], [50, 93], [25, 59], [56, 93], [8, 63], [1, 56], [81, 132], [0, 54], [112, 164], [12, 54], [96, 131], [11, 61], [93, 130], [29, 66], [0, 40], [60, 104]]; loss = 0.011507 low_pass_filter = 0.300
+Epoch 0: | | 17549/? [2:58:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 17550; scene = ['7c7e433716dbf8c9', '273db1a0a32fc03d', '88c287ba3e2d2959', '2e34a777e9a0b80f', '3543eb57e969e42c', '224b5576bbdeff26', '51b8b90afcdf9745', '6faafc61a9ff1d4d', '5c1b8644359e2df3', '4e294d9c40943e46', 'a546fe66f33a972b', 'fbd56a7ce64b67de', '08da0b9bc5445be5', 'f918e879fefa0dea', '819648da61dbdca1', '9b299dd51856f116']; context = [[94, 146], [40, 83], [88, 132], [44, 87], [124, 169], [113, 152], [5, 59], [11, 54], [37, 87], [2, 43], [44, 98], [0, 35], [17, 72], [28, 66], [27, 66], [80, 123]]; loss = 0.013556 low_pass_filter = 0.300
+Epoch 0: | | 17559/? [2:59:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 17560; scene = ['3d180f7db4ceac89', '9d8eb52936b59070', 'f289353b04210ce2', '4f37cf41bcd303b6', 'b6fd5085cd94fb12', 'aeff7d9f1f254136', '506de8c325ed4b49', '165329e317ee69d8', '31c7c0a62a8cb81f', '46399067bb53549d', '61dda895ec4ad0c5', 'c4aa2ab123fd8eb7', '06d946d96de5aed3', '39e26c86365b31ac', 'c521fb47ce9ddc0e', 'a1e704f5eecfba21']; context = [[13, 67], [27, 61], [3, 56], [107, 147], [30, 73], [4, 57], [0, 40], [70, 124], [14, 57], [15, 62], [74, 125], [30, 76], [2, 40], [12, 63], [46, 90], [52, 88]]; loss = 0.009194 low_pass_filter = 0.300
+Epoch 0: | | 17569/? [2:59:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 17570; scene = ['9fc4a42f8174b2f3', '922abf15861860a2', '7f5c45d7432da1d7', 'e0e15f1a6d4505f5', '747c5303b3a489bc', 'e790f451efd033ef', '833ec6e8e97f90ee', '9157ddf2dd3a3b14', 'ae61cd5eca2cf47b', '849449d8ee0fd8d0', 'b991599a27d51aa9', '2a3adab8c56fd0af', '4eb5a756e10b6135', '51558f55181adeda', 'fbeeb97c2581e94c', '6505b95fda3a6fd1']; context = [[45, 81], [9, 54], [46, 84], [9, 58], [54, 99], [101, 135], [14, 58], [44, 84], [33, 83], [74, 125], [30, 69], [112, 162], [10, 52], [60, 99], [187, 241], [87, 126]]; loss = 0.009096 low_pass_filter = 0.300
+Epoch 0: | | 17579/? [2:59:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 17580; scene = ['2d0c4b9d251f0ead', '3551465abdc1cb7a', '865591930d0627a1', '8fb8882b02bc63aa', 'ac996a63b23c9747', 'dc7a5ba3f90280f8', '8eed7c01c0f3ef97', 'be304be58881172b', '155d27fb9dffef9b', '7be2ed64fea6c9fc', '0e8d366b43302cb9', '90703a1321c67ff1', '52b76531df1976d0', '2be789959fff8373', 'a35ae8c072be3136', 'ee05991242906fb1']; context = [[82, 123], [0, 54], [41, 90], [88, 138], [0, 47], [108, 159], [15, 58], [19, 53], [54, 99], [26, 61], [28, 67], [39, 74], [19, 64], [22, 60], [26, 71], [136, 188]]; loss = 0.010529 low_pass_filter = 0.300
+Epoch 0: | | 17589/? [2:59:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 17590; scene = ['8ef58a226c35f66d', '5f9233c447468e7f', 'b5d098785d0e61d4', '617bd94137b51919', '25eeae41506761c9', '91eee96f9be7ebda', '8d212dad6fa203e0', 'bb9122703d0446ac', 'ef25872785ca3f37', '98c577bfe33e4dbb', 'b59df77ae2c66f67', 'fc22b9ea83ee6129', '5250b4d2feada905', '2a60b631ffbba8ea', '1defccf077f0cb9f', 'f499af4f4aa4a5da']; context = [[136, 173], [141, 180], [0, 37], [19, 58], [46, 93], [0, 44], [29, 65], [71, 105], [11, 55], [221, 275], [32, 79], [133, 183], [177, 214], [22, 64], [53, 106], [57, 111]]; loss = 0.008690 low_pass_filter = 0.300
+Epoch 0: | | 17599/? [2:59:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 17600; scene = ['1e82a72ac95c1a0f', 'fd9625e01240c2a3', 'e23baeaee13d12b1', '6e3dfded6a7f3fa6', '5679f4f2f6c7e7ae', 'b9d3ceeda47a50b9', 'eef4a92fb2f64d7b', '3ab741ae7d2d6b3f', '0eb64683896cd309', '8a6a910d78e80723', 'a20ae87b38ffe511', '856f7529b5f2d695', 'f97967e519b2c2bc', 'bdfc741d33921386', 'd0d8bd9b1391cf7b', 'e213cde371d1a0e4']; context = [[20, 57], [122, 172], [0, 44], [98, 143], [28, 71], [44, 82], [20, 75], [122, 171], [44, 89], [195, 229], [43, 90], [0, 50], [42, 96], [75, 110], [9, 48], [157, 208]]; loss = 0.009777 low_pass_filter = 0.300
+Epoch 0: | | 17609/? [2:59:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 17610; scene = ['5093d51cb32961b5', 'c1edfd2888b2f733', 'ae5ab6a60e1ab7a1', '7ba0bb51ce172710', '8ba00e36506d98e3', '37b468e1f381e86f', 'ddbbe74893efaffe', '7e866a2e4d30dee9', 'c37e52492baf985b', 'f07d116fbea2796e', '17e52586d0101584', '9031e8656bfd9860', '6a060404930871b6', '6cc16374b89f8656', '693d588a583849ad', '8921ef8893fdaed2']; context = [[122, 168], [8, 62], [9, 61], [114, 158], [30, 76], [122, 162], [35, 86], [25, 75], [14, 58], [121, 157], [48, 100], [10, 53], [50, 91], [4, 48], [14, 64], [21, 75]]; loss = 0.010058 low_pass_filter = 0.300
+Epoch 0: | | 17619/? [2:59:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 17620; scene = ['9046f5aa2a82b6c3', 'b5d3e67b48d195a4', 'f1f8e4d39a32eedb', '3a06d7ebb3cb5341', 'caa51283afc66cae', '164e9587927eb0e9', '9954c518245b7322', '2ef0eef67b3b538b', '8e1c0bc2d1f32fb0', 'd3af8e3b7f354487', '957517b6ed4d0048', '1cff69e73b827bcb', 'a9b437c1a771c642', '9839acd64985ac6b', '0ed741df4437c6ba', 'cf91287a73911ff5']; context = [[47, 88], [12, 57], [140, 190], [0, 38], [10, 58], [17, 56], [39, 87], [7, 53], [11, 61], [31, 74], [55, 101], [23, 58], [12, 56], [1, 46], [6, 51], [141, 176]]; loss = 0.012108 low_pass_filter = 0.300
+Epoch 0: | | 17629/? [2:59:42<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 17630; scene = ['4ca702261e0aa0fb', '43d97e84680e64f1', '614bea87443c8233', '0b5ff448f7853d84', '8fd66059741a9dec', '4d48be6420bc5e40', '16a3dad8315912bb', '09895c510108d81f', 'c5588bc0268e5c81', '05aab341d9f7cd51', 'ee1dd370404cf055', 'e6028373d0388cea', '623703e844f4187a', '3afecd065021c4c0', '09987dcb90444a8f', '2c6974c8d0fd6426']; context = [[25, 73], [177, 215], [55, 90], [14, 57], [78, 125], [27, 78], [4, 43], [33, 77], [97, 141], [15, 52], [207, 260], [39, 90], [16, 70], [4, 48], [91, 134], [52, 101]]; loss = 0.010259 low_pass_filter = 0.300
+Epoch 0: | | 17639/? [2:59:48<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 17640; scene = ['d0e5ef7568ba62ec', '7a4aa9466228e850', '53df6d3bf0bc3593', '5d7eb2a9c30e0fcc', 'afcac5c329658e0a', '429ee67552fb4347', 'e858dddbc938ec13', '786db6f690f1fe8c', 'bb7a87ed35bb7c08', '2ec142057d100f69', '0d3777b8fff2c21f', '9c9c480a9144cd77', '69c0ab37cd0b4038', '30d1ac6ee0b765c6', 'a6c66d8633b83c04', '7fe21cc660012e7b']; context = [[48, 82], [71, 120], [3, 39], [11, 65], [30, 85], [125, 166], [36, 72], [82, 123], [122, 168], [7, 58], [5, 49], [45, 90], [0, 47], [140, 184], [0, 42], [38, 89]]; loss = 0.016888 low_pass_filter = 0.300
+Epoch 0: | | 17649/? [2:59:54<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 17650; scene = ['ad4b81bb89bc6525', '38c12a529bfad8b5', '9d6350a3fac739f0', 'f53a324e7aab70d3', 'ee89c7384cdb8971', '55c617bb076c3461', 'a8c36697aa4bea80', '8cd78babfa1f6285', '8bd5cb1a874d6fb2', '5b1565e379c59981', 'afa96668d51fd7fb', 'c98247a056b1c09b', '11bb38558a689e33', '2ab62fe5e03caaa3', '0076e0a94466efb1', '968cadb6b5d92d03']; context = [[56, 103], [2, 50], [17, 56], [12, 61], [201, 253], [6, 45], [4, 53], [23, 70], [20, 71], [8, 53], [115, 160], [1, 41], [31, 81], [38, 92], [0, 46], [69, 117]]; loss = 0.010848 low_pass_filter = 0.300
+Epoch 0: | | 17659/? [3:00:00<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 17660; scene = ['1cea80a14693313c', 'b83523d5a6b0de8d', '58bd756bebf66e0c', 'bdb981148d4f5ab9', 'db251a028af1064a', 'cdbf2daab70da231', '8edab48b06f54f71', 'c7b726bf41c7363b', '1503f70f0474756d', 'a379ab73e44fcde5', '52c4bb658d7e2c97', 'f86918b379c67b4a', '27f9f9c7ab8235ea', '65d2429b6e7f22f6', 'f28c9736b5f793ba', 'ad072011b7c0eea3']; context = [[56, 110], [26, 74], [0, 47], [17, 55], [14, 59], [33, 82], [19, 66], [6, 43], [47, 83], [12, 65], [112, 152], [68, 117], [19, 59], [21, 72], [1, 43], [40, 85]]; loss = 0.010877 low_pass_filter = 0.300
+Epoch 0: | | 17669/? [3:00:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 17670; scene = ['ff9a13a4122358c0', 'baef1f1f88c27473', 'ab4e1823ec9613ef', '601e1b97b88916a8', 'db6b97ddd70d1c1e', 'b6602fca4a46af3c', '40f0d7c4d4f968ce', '4c6b1a86b7554be7', 'de76e0fa6665b96a', 'f417a4c162176abf', '76d99fe5793755ad', '8e275c7036a72750', 'b415eb0a7def34c2', 'e1c4289c6eda3545', 'eb971dec77a65942', '0dec435cb47386ac']; context = [[74, 120], [1, 47], [19, 65], [178, 226], [0, 51], [78, 133], [5, 56], [9, 48], [33, 76], [30, 74], [9, 57], [4, 52], [10, 63], [16, 50], [36, 74], [1, 41]]; loss = 0.009392 low_pass_filter = 0.300
+Epoch 0: | | 17679/? [3:00:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 17680; scene = ['622a0d2554fc5402', 'aa1601b3c7e10e3e', '4fc52f6aeecd8f82', '969eae779f4745e5', '014f71bd22de9f37', 'afe08596b2895950', '6c5e37d3a0fe6230', 'be4f1d3a9081ec93', '0f6f85f900c47557', '26982d1d02e9afff', '951d3d3360153a68', '4dc18688d7035c2f', '1013958b9d5a57fd', '757c2be20ce6cbb4', 'e6a4c397f62687e3', '173ec6098bac29fe']; context = [[2, 38], [10, 54], [39, 82], [2, 56], [124, 174], [209, 250], [32, 66], [52, 107], [16, 56], [31, 73], [203, 241], [31, 72], [21, 72], [145, 199], [10, 56], [80, 125]]; loss = 0.011495 low_pass_filter = 0.300
+Epoch 0: | | 17689/? [3:00:18<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 17690; scene = ['b22c25c5adcf4d54', 'dd657030a3c637d2', '2ac1cf1adda42447', 'cbd0fd68dc918e6f', '2b2e393414434d21', 'edbb71ea97bdc079', 'af8dffe590d32c98', '9fafd7aeeaddf68d', '6755d1366bce2ef0', '9b2935f1e10c316e', 'de293aa708084e6a', 'bbaf39151b2da748', 'baa5664b5ea5348e', '34ba90ddf627908b', 'f49334b723f7ee98', '212f736c5bd2cba5']; context = [[175, 222], [71, 107], [22, 66], [20, 60], [52, 91], [114, 166], [53, 88], [50, 99], [190, 230], [106, 156], [6, 59], [10, 51], [28, 62], [32, 66], [20, 65], [167, 207]]; loss = 0.010772 low_pass_filter = 0.300
+Epoch 0: | | 17699/? [3:00:24<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.40, train/active_min_children_step=4.0train step 17700; scene = ['04f4b776f5977a38', '8ac74f698e20d973', '11cd99e2cd274b62', '96496efe882e7188', 'bbe93893e3734a99', '4a7db356a3dc0803', '3485481ecd306c8e', 'dc0cac2190275855', '3feced7708ece4f7', '1042a9fe0c71b46c', 'd4bf30aa4a3d6fd6', 'e40b1d559ccedb4d', '42474d2341a3c55f', '440d247c44b072f5', '768c7eeb58db7cea', 'd04f5f108918d585']; context = [[138, 184], [0, 45], [25, 65], [63, 107], [14, 56], [30, 70], [66, 102], [171, 213], [20, 70], [130, 166], [32, 82], [15, 58], [6, 54], [2, 36], [30, 67], [4, 42]]; loss = 0.009812 low_pass_filter = 0.300
+Epoch 0: | | 17709/? [3:00:30<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 17710; scene = ['a304ef5211f4a528', '947b9b324827c237', '4c706bb06dd82919', '19d92ad5a3175241', '94345f54c878e603', 'ef4e611cdec4a2e0', 'b5de00eadafc31e2', '2b82531c02145ae3', 'f34a13eea58b43f6', '7f6dd3575ff20309', '1afb80edb0fa9ceb', 'e8d0f3054d11c23a', '3d9e58e8585a776f', '361f61d1543775ba', '964b5660d29e4821', '95579d00ca4555e0']; context = [[0, 36], [2, 57], [7, 46], [49, 84], [5, 49], [61, 100], [0, 35], [98, 136], [1, 37], [4, 56], [8, 63], [39, 80], [19, 57], [46, 84], [35, 70], [26, 60]]; loss = 0.009921 low_pass_filter = 0.300
+Epoch 0: | | 17719/? [3:00:36<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 17720; scene = ['469c7372835b7450', 'affb436cce698498', 'b729998f5b2508dd', 'f43a67d03e2d1906', '2d65c93575c6a883', 'd0c0d5fc515e76ae', 'd5415ea8c79b23bc', '8b95bfe3e8140690', 'e2970558f4892f7a', '698495499f8fdafc', 'e33342f08e052378', '471a35c1cd5a8179', '01e5207480d75225', '816112a90ba0035b', '7c621648d0d07a65', '0aa601b42a2b5dd0']; context = [[26, 73], [8, 44], [45, 98], [10, 54], [2, 37], [190, 241], [2, 52], [51, 95], [64, 98], [52, 95], [182, 217], [49, 88], [29, 74], [16, 66], [86, 131], [27, 63]]; loss = 0.009974 low_pass_filter = 0.300
+Epoch 0: | | 17729/? [3:00:42<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 17730; scene = ['43dc5c8c8859dc3c', '5406f3e3f53b842c', '4f41b0ce610b9bc5', '199a9ef5a23a3db9', '3820cb5d4ed07d1b', '6cdbcf635b46fa7a', '6ac5014676fde670', '0f5bf8f5bc26eb2e', '13d62e6992367b80', '5b566e1764ab72c5', 'a37c6a2facaa701f', '9bf240527154779e', '623a995282f38ea7', '7d765fe18635a270', '593878463d41539b', '6915c82c1126fc3b']; context = [[24, 61], [1, 40], [11, 48], [46, 94], [114, 156], [4, 40], [1, 36], [3, 58], [42, 96], [38, 86], [23, 65], [37, 77], [63, 117], [114, 162], [33, 67], [12, 49]]; loss = 0.009865 low_pass_filter = 0.300
+Epoch 0: | | 17739/? [3:00:48<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 17740; scene = ['15d0f8d7a400e9ca', 'f98cb4f86c049782', '48a97d2034b51f63', 'c2c7481ec7a1e077', 'ef172dd582fa42bf', '2083d004f0de3ae6', 'ca586fa15d224a0f', '91c5de0d54d6cc53', '07bf766d4a043025', 'a97541a2bb82814b', '47c63cfb10cdc704', '89b9f0b40f8e5043', '655736f20ba5d849', 'c77b2964c2ca9b6f', '8ccc9f1ead9cad5b', 'a02e28fa26feea61']; context = [[57, 100], [102, 143], [198, 243], [16, 51], [18, 70], [22, 77], [5, 47], [0, 43], [2, 37], [6, 60], [21, 69], [77, 128], [29, 79], [66, 115], [2, 44], [1, 56]]; loss = 0.007757 low_pass_filter = 0.300
+Epoch 0: | | 17749/? [3:00:54<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 17750; scene = ['0856eb1e161c6cb8', '0e3abbd980a263fe', '4b51e4231150adf4', '7e8e66f4e02657d6', 'a5b032ef6a4d3ce4', 'e63d845cb83be6c9', '6ec006a4adb5a42f', '37f28ca0c73ae057', 'd815e00df962638c', '7709edd1d8cd1946', '726308ff6efdfd6b', '5f28b2d3f4828007', '16fd5a162c4b0093', '0bdca1b88deda4a2', 'd94399261b4e49c9', '86ef5385cdeaec8a']; context = [[16, 64], [47, 95], [42, 77], [37, 84], [10, 56], [0, 54], [23, 71], [60, 106], [83, 129], [28, 71], [29, 78], [14, 64], [94, 129], [10, 51], [94, 132], [6, 47]]; loss = 0.013152 low_pass_filter = 0.300
+Epoch 0: | | 17759/? [3:01:00<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 17760; scene = ['d54fb2208e66c080', '683391876d0f8c91', '3a09916ab94d104a', 'fd1737c9d5f1cb37', 'd00df5ef865937ac', '533d7e15bdc275ad', '2a969cee05781858', 'b6505a16a99fc05d', '146f7025acd4ae32', 'dbfa4a019a577df0', '763d75d516920a3f', '3722e45b5966fc7f', '0ab2ee95193dca6d', '559d1c71c237ed63', '04d701ba49208516', '83c1f7a379ea16ad']; context = [[15, 49], [63, 100], [19, 57], [0, 42], [197, 238], [19, 59], [29, 81], [5, 49], [107, 162], [214, 261], [80, 114], [32, 76], [107, 146], [198, 237], [224, 277], [5, 58]]; loss = 0.010649 low_pass_filter = 0.300
+Epoch 0: | | 17769/? [3:01:06<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 17770; scene = ['427e287379108891', '7ddc7cab16aeca59', '7290906ef512f678', '199efe0aa9f2980c', '70d8a465d474acb3', 'c0fe0bd487299e61', '47ca1ac74bf7cc30', '0df41f651f4faed6', '8da41667e8f33d92', 'eefc81d648d588c6', '57b04086b86e72fc', 'e0fc35891bf29a7a', 'c1227854f6f7529d', '8376f898eabbd0e1', '3075c400813b4fd5', '13c85315b9e987d9']; context = [[42, 94], [1, 46], [57, 97], [16, 55], [0, 35], [40, 75], [38, 74], [49, 87], [91, 139], [26, 72], [84, 122], [27, 77], [51, 97], [1, 45], [49, 95], [142, 178]]; loss = 0.009631 low_pass_filter = 0.300
+Epoch 0: | | 17779/? [3:01:12<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 17780; scene = ['82b8fde17b54a3f5', 'eb2becccddf18213', '295a34d006c56b8b', 'f97c44861fbf71e9', '89901ed89e088325', 'a229ba49a0c8954b', '010791e6ad880079', 'bf5f57cb8135b8b2', '96d295b8471eb1d3', '6053d23b7255d9b7', '56afbceba5dbca26', 'd8e0ae0706b525ed', '06ea674963ad018e', 'ceccd6c382258f2c', 'a9ccf989917513be', '9c1dfe99d620e067']; context = [[37, 92], [10, 58], [8, 54], [8, 63], [33, 69], [36, 89], [108, 142], [126, 164], [28, 82], [28, 63], [87, 136], [30, 68], [69, 121], [9, 43], [12, 67], [46, 92]]; loss = 0.009398 low_pass_filter = 0.300
+Epoch 0: | | 17789/? [3:01:18<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 17790; scene = ['3536c0c4998096a9', 'b135244ca7508cf0', '1749cf5f9c36da53', '9a32a8daa43d59dc', '1b200ddb0e8760fd', 'd2df2ab53964add5', '3d9d33cc3bedad51', 'b6f35460c7ab5e4f', '1db541021f08c569', 'ce8ce7205c395b97', 'aa9501b0fe74e3e2', '16ad60739d062c0d', '27f95438492b1f5d', '03ea09bf65357e60', '5d3adfd63b17163f', 'f928d960cbfae15a']; context = [[223, 261], [64, 106], [144, 189], [14, 67], [224, 263], [19, 61], [0, 46], [11, 49], [51, 91], [49, 92], [5, 59], [115, 164], [13, 49], [3, 50], [0, 52], [29, 69]]; loss = 0.012216 low_pass_filter = 0.300
+Epoch 0: | | 17799/? [3:01:24<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 17800; scene = ['393d36b4e000e53e', 'd3586ad30c21ff73', '88e69571b9b3b6e0', 'a7e596c98a39e95b', 'c7ee83d8929847ee', 'b7894f3a4d70458c', '32ae7fba9602f4ab', '15026daa578fa64b', 'ee9f906c4e9e242d', '04c3209481ae9313', '817235be1a7e4594', 'bb2026b2cead287d', '7900807f65ac59df', '0b759c1c970bfe98', '232a8c69d8f69af4', '634f920c02c317c3']; context = [[21, 61], [79, 116], [2, 39], [21, 65], [75, 125], [34, 79], [43, 98], [4, 41], [12, 59], [24, 79], [95, 150], [15, 51], [27, 62], [50, 95], [5, 53], [214, 248]]; loss = 0.012236 low_pass_filter = 0.300
+Epoch 0: | | 17809/? [3:01:30<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 17810; scene = ['dcb9b6cfdd71641f', '5a013cbb504f1af4', '3bcde1edefccda53', '8a3e53e6daac0cd1', '28cace0a19130178', '765f5573b2c0a57e', '33765206792aaa14', 'af8122c66180771c', '1fb9d73ad18c54c3', 'e1f9b356140f5da5', '42e57c285ed7edf9', '157baee638f35a22', '8e7f0e79819eb6aa', '8db13e90869643d9', '93d09ea08f99b64a', 'dfa981a013807f97']; context = [[26, 67], [10, 60], [79, 133], [10, 51], [0, 35], [53, 97], [50, 86], [66, 113], [134, 172], [20, 61], [3, 50], [149, 199], [27, 66], [75, 127], [19, 56], [178, 227]]; loss = 0.008849 low_pass_filter = 0.300
+Epoch 0: | | 17819/? [3:01:36<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 17820; scene = ['3eae73bf7ce1f476', 'a8fef8171c682115', '6578c8be5634dd0e', '0936d479a2231654', '4a13ca47c05a784f', '5ed4b20886e2e819', '7be832f2890f7350', '11b97c83aa479b1f', '48a2eca91648cd85', '243fb7e3a764ccbd', '69bc2962a9ea0f51', 'c94db6c456d3f49e', 'a6bb57de6591fc6a', 'e8185a3649c3de14', 'e588519d26f0efa2', '6505aa5e0c26571a']; context = [[79, 113], [7, 55], [22, 76], [54, 100], [5, 46], [6, 53], [41, 82], [72, 119], [29, 69], [211, 265], [35, 86], [61, 97], [142, 186], [23, 71], [0, 34], [4, 47]]; loss = 0.010181 low_pass_filter = 0.300
+Epoch 0: | | 17829/? [3:01:42<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 17830; scene = ['524e4f274caa5dcc', '4c32d41a44e936f9', '70903c43d033db05', '884dc158899ce2e1', '986f9c8d1733b639', '389a54e3df009553', 'a97842b559fa0582', '4364c3b9403ffd96', '04ce6d1f0f049069', '48b84ebd9166652f', '07ad3c9e67f8bf95', '3baa46d1f38c6c0c', '2a43ee2f245c1337', 'c49afcdb61153e2a', '0476107845eb67e9', '042e949b55e0c306']; context = [[6, 59], [1, 35], [26, 66], [5, 49], [61, 100], [78, 124], [8, 63], [0, 38], [35, 84], [78, 124], [9, 61], [32, 84], [75, 120], [36, 90], [58, 96], [93, 130]]; loss = 0.013164 low_pass_filter = 0.300
+Epoch 0: | | 17839/? [3:01:48<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 17840; scene = ['0296e319701adeab', '54fc0a8c926bf9d2', '38bf775d94c91313', '241601d1769307d3', 'b00f502f468fa5e1', 'bfa559b4958cc3f0', 'b6f646046b2a6c12', 'e73c3c5ae18982a9', 'e6bfff9f049d72f5', 'a5d34020cf7cacbd', '15c33c76f8a7238e', '2cd72af45b4093cb', '1fbd3c030aafef5a', 'efcc02500ae5f63a', 'bef682a92ce892d4', 'ce267807e6f8819a']; context = [[65, 99], [72, 117], [17, 55], [49, 93], [1, 36], [2, 50], [8, 47], [11, 65], [18, 70], [42, 83], [14, 58], [19, 70], [40, 74], [25, 70], [106, 142], [29, 67]]; loss = 0.011475 low_pass_filter = 0.300
+Epoch 0: | | 17849/? [3:01:54<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 17850; scene = ['e7521b22cd5de37f', '31bfa11b146a0cc5', 'e49d2c550292dd20', '7c050554a8ec79e9', '37c330bfb9326e05', '7654d848e57551a4', '91084cd51335fc1d', '39197f6d0e819f9e', 'bd599705af721fcd', 'f0865a583ba09c2b', '665024ea83a665d4', '84ba6ebd8b79f00d', '2ac6446d0ddf813c', '11f64a6aade54c12', '018c2471932140c2', '01f717e1a0b3df40']; context = [[161, 209], [18, 69], [75, 122], [64, 101], [19, 63], [42, 77], [6, 43], [7, 48], [172, 227], [118, 165], [15, 63], [1, 39], [20, 66], [32, 70], [71, 115], [0, 52]]; loss = 0.010599 low_pass_filter = 0.300
+Epoch 0: | | 17859/? [3:02:00<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 17860; scene = ['70f18731a05c3d3a', '4c2eae92b9b0e03b', 'e8b0f3ad0f6553ea', 'b0f1e3bdd4f69eb8', '0639d31adfd1c9ea', '16010a67c32a20b6', '84492f306580629c', '518fd84c6e7d71e4', '3cc86b7a240d9487', '34b4bcac2a2e9b60', '72e27b4165579ae4', 'f6e952caadc38b08', 'ea55d305813d95ff', 'f4d325e6809e723c', '3fe8dc32517b4c3b', '4f1af4a58b5dedfa']; context = [[12, 55], [59, 99], [1, 37], [0, 37], [167, 215], [29, 63], [7, 45], [27, 64], [6, 58], [62, 108], [9, 56], [155, 204], [0, 48], [76, 127], [107, 152], [17, 60]]; loss = 0.012314 low_pass_filter = 0.300
+Epoch 0: | | 17869/? [3:02:06<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 17870; scene = ['eb864005eb96e04e', '87b39fab5d5d0845', '8ec32dd001a2b529', '1ab73610902ef496', '6ad946dc7c7a5ae7', '177721d767ab4daa', '958aebff5c34c3af', '9f4c3a8d89ac49c8', 'dc52369ae90fed74', '9ce92300ba034e1b', '97a349e2abc0b2b6', '5d627dc0f8bb0ca1', '69a46538362147d5', '7ef98d73d599a144', '8102b15a3f244713', '68cc6fc0ce46f289']; context = [[47, 92], [3, 42], [44, 88], [91, 132], [131, 169], [49, 87], [18, 58], [50, 100], [17, 64], [164, 218], [29, 80], [172, 210], [23, 58], [1, 37], [63, 100], [19, 70]]; loss = 0.011077 low_pass_filter = 0.300
+Epoch 0: | | 17879/? [3:02:12<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.60, train/active_min_children_step=4.0train step 17880; scene = ['a04c6af8ffb89955', '8c94bdd2b798e17d', '43ae1f4abe3cff11', '8a9d96296fcf5b3b', '7915a880baeb4ee2', '3eae752079cfc922', '622933ea3b4974cb', '6782305975ac43cd', '07d82757b10cf708', 'eeefb966e37e23e5', 'eefaa32af71b9eb1', 'b6c80ba61ce8ca3d', '5628f91af5866b6e', '484d51baee4c01fd', 'eee7fc5380122c97', '17b0ef98aa20973a']; context = [[102, 147], [86, 121], [57, 101], [170, 209], [1, 37], [37, 84], [56, 99], [105, 139], [83, 138], [85, 122], [18, 59], [1, 48], [21, 58], [81, 127], [8, 51], [155, 205]]; loss = 0.007931 low_pass_filter = 0.300
+Epoch 0: | | 17889/? [3:02:18<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 17890; scene = ['aa97744d1ed6c13b', 'b7aab68953b46e64', '4ca08ed9abd6d4e8', 'c5202610b421304f', '2aaf84176521c42f', 'c92d3baa79f78d32', 'c3db550fbcb1f2b1', '4e66521b32a6fd82', '95c06eb39cbc2f89', '06a891389b1fb8c5', 'eb09cd7e9ffbe950', '162bcb36d182892e', 'f792272e396d1964', '9f3a66dc64d7fdc9', 'b4f8a378557daf5b', '083fc5345f567257']; context = [[7, 62], [2, 41], [24, 74], [22, 68], [92, 142], [19, 58], [26, 67], [5, 39], [30, 67], [5, 44], [29, 81], [44, 86], [74, 121], [35, 71], [94, 148], [145, 189]]; loss = 0.008646 low_pass_filter = 0.300
+Epoch 0: | | 17899/? [3:02:24<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 17900; scene = ['d15550f3074582b5', '8fffbd8a963652cc', '8db3f3c632cb9cd7', '93c82fa338786247', 'cd7f33ee42ffaa99', '09df6c5611f3d193', '536853698e0d75d3', '9eb71bef64a01356', '5f27e7ce212ec13f', '2c475774db9735e7', 'f7a2600b30f6c1d5', 'd8563131cb9d153d', '4aa0b4a21c9e227d', '7675274ae392957c', '5a32c690eedfa60e', 'b70ca8062dec1f7c']; context = [[5, 56], [29, 78], [3, 45], [160, 199], [5, 50], [109, 163], [12, 62], [108, 147], [65, 102], [4, 50], [18, 60], [2, 45], [96, 133], [24, 62], [103, 145], [56, 102]]; loss = 0.009884 low_pass_filter = 0.300
+Epoch 0: | | 17909/? [3:02:30<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 17910; scene = ['8f54c518ad267715', 'af06c5b083c836cc', 'c83bef82111d4aad', '0615ffb1a55fd0c2', '3c3e1619744887ca', '510e05e121226e7c', '3604d95a480cfe31', 'ed981652ad74f345', 'aa5fd8173f0e59f5', '72101c504a4c57d4', 'db13eec5ac6b1c56', '067ffc09a8292608', '3055585671a8da3f', 'da36186940ee1065', 'd8d2bdf1e73f63fe', '40d0d59dea80c743']; context = [[123, 168], [123, 157], [22, 62], [18, 55], [62, 117], [12, 53], [43, 86], [0, 55], [6, 59], [9, 44], [13, 51], [17, 59], [31, 71], [0, 36], [41, 83], [156, 197]]; loss = 0.007981 low_pass_filter = 0.300
+Epoch 0: | | 17919/? [3:02:36<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 17920; scene = ['fedca665f193bbd5', '5ba3f48e64beb777', '198c8bb58640bdd8', '43ac09553d98fb3d', '8077f3ee01fd9872', '4977b009040e9ff4', '7f1a2e333be7f697', 'db637f1288c50ca8', '7bef257f82af89c3', 'a1206ca66f182d10', '9b75e834893b5e07', 'aaec20a7befd0f04', 'dc50de438abdb52c', 'a7c776da58a96494', '144e1ec915e46d29', '281599bbab3e73dd']; context = [[33, 71], [28, 66], [20, 57], [42, 79], [3, 54], [48, 103], [37, 82], [75, 119], [1, 51], [0, 40], [2, 45], [20, 62], [18, 57], [12, 59], [12, 57], [1, 53]]; loss = 0.010858 low_pass_filter = 0.300
+Epoch 0: | | 17929/? [3:02:42<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 17930; scene = ['f0c84c2247924960', '24d0366c22907366', '6f95fa3faec14a33', '19f4a3b6456d5180', 'e1b145dc4482f154', 'f394618d6654d671', 'f75b9edc2de34e90', 'd5e42e9af4ac6707', '0fcc8db684319a64', 'd5aae222a64fc818', '38d4874100b52393', '675c27a7a2bbfadd', '06a2cc8ce16ae941', '37de93f90823339f', '19f0598ab55869ef', '25e5e7cb35dd9129']; context = [[1, 54], [0, 41], [0, 41], [4, 41], [27, 75], [37, 79], [86, 124], [4, 54], [32, 77], [61, 111], [49, 94], [42, 79], [93, 130], [25, 67], [0, 46], [28, 68]]; loss = 0.010796 low_pass_filter = 0.300
+Epoch 0: | | 17939/? [3:02:48<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 17940; scene = ['b844d23631bf9460', '31bd6ed47b560fb2', '6f87ded85440c7ff', '8c4e4bca9b1d35e4', 'e34b20228349d7d3', '51cf388a4d04e4e3', 'e5da20a2c416b72c', 'e8e63428804a5980', 'd113b8357fa64b66', '5557b9f1f838dfb4', '29452b3952fe9c2c', '8b0de2ff7f7c0300', 'f575470bf119a425', '27d4dd7b7a6fc3f4', 'dcc9c17c7f2bf955', 'd2b1ff06c77d6905']; context = [[193, 232], [20, 60], [55, 96], [80, 114], [3, 53], [50, 96], [12, 62], [20, 74], [5, 51], [61, 108], [39, 74], [1, 36], [66, 118], [12, 55], [23, 58], [8, 49]]; loss = 0.010742 low_pass_filter = 0.300
+Epoch 0: | | 17949/? [3:02:54<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 17950; scene = ['c297b2c588b7abe7', 'deba314a95b4413a', '89a30f540e35e364', 'f1fae248017db2cf', 'e6ff8c686e29d759', 'be27d7753382c1ba', '531eb7346128999d', 'f7bfca3706acaee7', 'b12711bf04626950', 'f62db2ed14851eed', '9319398a68309ed5', '82524d5eded08a37', 'f76a4959d4dda998', 'b6247cb18170520a', '6762b70cfb8a36d5', '146bdf0267d4eb0b']; context = [[21, 64], [209, 257], [50, 90], [8, 47], [64, 108], [28, 74], [10, 51], [141, 188], [18, 53], [1, 56], [25, 77], [71, 123], [23, 76], [48, 96], [6, 46], [131, 168]]; loss = 0.012859 low_pass_filter = 0.300
+Epoch 0: | | 17959/? [3:03:00<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 17960; scene = ['32936b5443076f5c', '807f25b62e86034b', '1c0f40cd04838650', '5013ce0333bfd2cd', '1a1b424f93af5432', '7ec6f68e6166c5fb', 'c28f5b0713ea8927', 'dc31972ed0e1d8dd', '088a3f79c608abd4', '5e01f439da0de4cf', 'f8ad06eeaccd37eb', '2711c36a3be442f6', '773467e0c2dadcc5', 'dad8b744cd8e2d6d', '5b05ab7a497e95cb', '06a978db0d334b56']; context = [[34, 72], [69, 103], [12, 48], [35, 83], [172, 217], [205, 247], [97, 133], [190, 225], [22, 73], [12, 51], [6, 58], [29, 71], [38, 73], [39, 92], [22, 71], [11, 50]]; loss = 0.010572 low_pass_filter = 0.300
+Epoch 0: | | 17969/? [3:03:06<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.60, train/active_min_children_step=4.0train step 17970; scene = ['06a98db04d55c991', '9c34287c66be9375', '7c2e562c6df590a0', '8ec42c5dfea6823b', '64db7512182c3f7e', 'a273c53ccc48f262', 'b1cb82b0ad9e50c9', 'c702d7ac1f3eb359', 'e85458f034fd2a07', '349e6452635b3488', '37d53eb485e86a69', '7887a8b69eef3f6c', 'abc943c92ef0d788', '48e6e04d3415086b', '12944e020e37d73e', '747927c2fb5cf02f']; context = [[1, 55], [27, 73], [74, 119], [20, 58], [112, 151], [202, 247], [38, 85], [1, 44], [3, 51], [90, 138], [2, 41], [0, 50], [92, 129], [6, 44], [9, 59], [12, 46]]; loss = 0.008558 low_pass_filter = 0.300
+Epoch 0: | | 17979/? [3:03:12<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 17980; scene = ['351c033201dd3ec6', 'e6784c42ef00186c', 'b623469ce6a192b4', '7eee34c42271e7de', '6b0cc71a66f4c9c5', '979e786e327a2e38', '02510ebdd1ced810', '01a3a84800f96cae', '791584728efe6819', '151adfc15e06712a', 'f791e9c886a4ec92', '3b261bf9b0e4f0d2', '52e1723e3d61fe3f', '07cefa8832ff7083', '391850e5eb1aa965', '4c853d0e57b4934d']; context = [[10, 62], [32, 71], [24, 79], [11, 66], [89, 145], [99, 144], [84, 140], [74, 129], [15, 66], [19, 75], [17, 66], [61, 98], [20, 67], [51, 86], [12, 66], [0, 38]]; loss = 0.010283 low_pass_filter = 0.300
+Epoch 0: | | 17989/? [3:03:18<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 17990; scene = ['ce57b9ebde2d907c', '377453fbb03976e6', 'e34447ddccfc88ff', '5fb3bf2facd499a8', '6c9d30f8078cabd2', '0777b711796daee1', '96f60368d1159966', 'f5599ba8705ca849', '82336eca903b6e86', 'fef01b5916a7034d', '89c816fbd72e5b66', '0c47d07c62c47396', 'f8d2d50b9f02c901', '1671fe053a120977', '1c0d5ac17ebd0d80', '1068a8f9fede3649']; context = [[4, 46], [1, 36], [15, 66], [5, 59], [134, 175], [17, 59], [108, 151], [84, 122], [13, 61], [6, 51], [18, 59], [50, 93], [38, 91], [75, 110], [10, 51], [144, 184]]; loss = 0.009811 low_pass_filter = 0.300
+Epoch 0: | | 17999/? [3:03:24<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 18000; scene = ['2253cdcdebb8ee34', 'e1b314577540b3fe', 'c264a11347c75a0c', 'c9ed83552cac2a65', '9903d3fe63d6a818', '660c377f918f0922', 'e4f16f4b31a78522', '8392839892568339', 'bf96b085f86a316c', '974c16cd3063fe7b', '3bc995c0eac71f1c', 'f60fb1fa9fcb5fe8', '46a36899c1217f11', 'c68f15dd31feb2b8', '3eb8a02384c27dc0', '094c9e3aa6bbfdf4']; context = [[6, 43], [64, 106], [79, 114], [26, 66], [9, 63], [9, 47], [41, 77], [3, 43], [223, 257], [113, 152], [152, 199], [50, 87], [12, 48], [84, 122], [68, 123], [69, 105]]; loss = 0.011944 low_pass_filter = 0.300
+Epoch 0: | | 18000/? [3:03:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0validation step 18000; scene = ['f3f53a823ea18d9f']; context = [[123, 177]]
+Epoch 0: | | 18009/? [3:03:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 18010; scene = ['4325e5d93ac17f8d', '3093cfc489c8cd2f', 'ede431bc93326650', '224c90a016589fec', 'dd5bde1ccda76492', 'b6c4901a41fed652', 'cbb133671b625ca2', '4d850750a62bd77d', '4d65c764fda63e65', '362c5a55ee5877b3', '494fa216992cf7f5', 'eba3eac70a8adcb8', '196f22e8a9814fa5', 'fd6c49a5509e066f', '2d3889504214a739', '64057e606626c033']; context = [[34, 90], [148, 183], [21, 57], [96, 143], [87, 136], [5, 39], [107, 157], [69, 121], [24, 63], [73, 108], [15, 70], [41, 78], [84, 138], [211, 264], [2, 58], [178, 216]]; loss = 0.010356 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 18019/? [3:03:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 18020; scene = ['4a09a498e4e472ef', '775c315fd0e27ccf', 'bec7b7bd2fa60eb3', 'f81aac43ea74ff44', '65d335b19bca4c2d', '85cc8a0d62c58ffe', 'b63b97f07fbeaf24', 'e18892b50162e698', '3ca8df0cd8efdb59', '56aa518958e66903', 'e0cc4b7664a79c4d', '8c6f0f3ea9dc7bee', '9e4038d6ef007f0f', '6f2e1d1066f7d871', 'bc9172aa1955898e', 'c834b39a058f03fd']; context = [[104, 151], [82, 126], [0, 34], [0, 36], [49, 97], [48, 83], [29, 80], [33, 82], [140, 181], [77, 117], [196, 230], [66, 105], [121, 160], [42, 76], [30, 73], [104, 142]]; loss = 0.010300 low_pass_filter = 0.300
+Epoch 0: | | 18029/? [3:03:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 18030; scene = ['4548eeb71265658e', 'a89bda26fc8857a3', 'e051284e5cadbbb1', '39424ed8e995c6ac', '7399fc6bbcca8a11', '727926e871e31d5d', 'bf6ba1f1734d5bdf', '0006e8e3eaa8cd39', '02314047509da14e', '3a8b4fa297cc1414', '2212340b10c882aa', '95d2c6fca1508481', '7dd657f7a4c836ad', 'c2e52b2ebe3e7c58', 'd2f26d374cc9fc43', '7d2f9ee3c5ce33ed']; context = [[197, 233], [67, 117], [176, 218], [11, 60], [4, 47], [39, 76], [41, 97], [2, 38], [4, 38], [5, 59], [19, 58], [53, 98], [46, 86], [5, 47], [0, 55], [4, 42]]; loss = 0.010651 low_pass_filter = 0.300
+Epoch 0: | | 18039/? [3:03:49<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 18040; scene = ['203db9a6ce37b351', '723f157b2ec763f1', 'aee2a809c583895d', '01ed204a90430be3', '35fe94a6f4b752b3', '5c399d154f879440', 'ef706ea61b3c2e63', '175b05b368c133e7', '460d2009e8c97d4e', '3281beb44b21ae80', '4905dd1533b8ffb2', '29ad06f3162b2bc1', '73c0efa320a47a6e', 'd70552f02e4c18ee', 'afd2942e07cd0a89', '874e813188a281e4']; context = [[23, 57], [10, 62], [112, 150], [22, 57], [33, 76], [1, 41], [45, 82], [59, 105], [10, 49], [56, 107], [87, 130], [37, 90], [64, 115], [1, 39], [5, 42], [10, 57]]; loss = 0.010195 low_pass_filter = 0.300
+Epoch 0: | | 18049/? [3:03:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 18050; scene = ['a49b348548dac198', '83b9b0b07bade68c', '08fafa925134cccf', '69e94c1fd190cc2f', '6e265cfc58ee5e9e', '73382c0b5120aabd', '5661f1f6f25b227e', 'c35f0dfaf6507d58', '50f06676dfe7dede', '15c143c646be62b8', '239d2b9fd0f2c35f', '95a3e58d4935e819', '68683f955a0e65b9', '18877ce74b5084b7', '0ffa61edee2217d0', '40c71153e86a9e74']; context = [[66, 102], [82, 126], [68, 102], [6, 55], [3, 49], [4, 60], [72, 112], [29, 70], [13, 62], [203, 253], [135, 185], [38, 74], [46, 84], [121, 171], [3, 38], [2, 38]]; loss = 0.014448 low_pass_filter = 0.300
+Epoch 0: | | 18059/? [3:04:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 18060; scene = ['dc667e96abd53c22', 'b67ce20f3f4adec3', '5da91cae06b6bf6b', 'a7f56f92c31d68d6', 'fac41d1437899793', '6aa984b54d1372d2', 'ca12dbcebb3869ad', '295b0768d718d6ab', 'fd6698d9c1b2edaf', 'e1571800001bf8a0', 'f05c1d092c6ceb18', '982713565101573e', '239adc7ff39146a6', 'e393741cba862586', '6328887e79625528', '2a96abc90ad886ab']; context = [[18, 62], [18, 52], [66, 105], [73, 116], [25, 70], [8, 54], [35, 88], [0, 38], [12, 67], [25, 78], [81, 115], [87, 122], [58, 104], [42, 77], [41, 78], [65, 117]]; loss = 0.010462 low_pass_filter = 0.300
+Epoch 0: | | 18069/? [3:04:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 18070; scene = ['791154aeb41aebe5', '12e365426a204bfe', '15e37857ba740b8e', 'ea1b098bc21eb64b', 'c0d9b8245553ea43', '095889891b7da599', 'a3af6cb061c06d46', 'fa56250d112da444', 'd8e5c190e8400259', 'd6fc181ec9c1537f', '3f9ae08552374fb5', 'cad8d99d5938a98a', 'bb4c043078a5b91e', 'a6f33152fd042ca4', 'e54b5eec8cc47776', 'c3e773c9ea1f4727']; context = [[36, 81], [33, 74], [34, 78], [0, 53], [5, 43], [5, 58], [61, 114], [116, 168], [5, 52], [55, 94], [84, 132], [8, 61], [65, 114], [18, 53], [16, 56], [5, 56]]; loss = 0.010497 low_pass_filter = 0.300
+Epoch 0: | | 18079/? [3:04:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 18080; scene = ['a4ee84d202934a78', '50235e0c69e39c09', '993b224086d80631', '2b1128df87dfdc20', '48e6e04d3415086b', '747927c2fb5cf02f', '12944e020e37d73e', '6a4fd90c10640037', '073f4898bc68059d', 'ae9963ff8cd6c4de', '349e6452635b3488', '2b02940f6e4300ab', '4a8bac030ddaa027', '7887a8b69eef3f6c', '37d53eb485e86a69', 'acec98119d56fa29']; context = [[14, 48], [1, 47], [10, 62], [61, 96], [68, 110], [4, 50], [20, 74], [13, 52], [42, 86], [52, 87], [182, 224], [54, 102], [50, 105], [0, 50], [4, 40], [78, 115]]; loss = 0.009097 low_pass_filter = 0.300
+Epoch 0: | | 18089/? [3:04:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 18090; scene = ['6534207350c6ba20', 'c9e8b97faafa2ebd', 'e5dc96d4a551f24b', 'e5dc977e96e194de', '655b92a1e07f28eb', '4d716ae41fc70638', 'aac9763228745ec3', 'a931f15fa6a0b25f', 'a98853b11a34730c', '8b6551bb28273423', '3ac23dbcb3d6a123', 'fa1144b7f9d07d59', '8cc038af90759ae9', '3185573332be0be8', '53857414accb7b44', '5241930c1d2f7ed5']; context = [[34, 88], [188, 236], [8, 50], [69, 103], [225, 276], [24, 75], [63, 110], [112, 161], [20, 63], [136, 172], [133, 167], [16, 68], [25, 64], [40, 89], [60, 110], [156, 197]]; loss = 0.009819 low_pass_filter = 0.300
+Epoch 0: | | 18099/? [3:04:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 18100; scene = ['7ac1e20b737a9707', 'c0c88568d1223b9a', '2028e7685d576a9f', 'ebe5c67aecd20a4c', '6d30b36107c16f16', '86d838e5d630a422', 'eb1767752a703a9d', '65fbdf6af1c554ee', '07c89a68dcef8612', '576d18e9ac5eff2d', '0f7bdf40fd6390b2', '59fa40dbaab9e111', '974c3242a9b9235b', '79c81482b548f084', 'b12a0ab351bffd0a', 'f5f7a03a083dace5']; context = [[21, 77], [2, 37], [28, 62], [56, 106], [123, 160], [15, 49], [0, 39], [72, 120], [13, 47], [179, 231], [22, 70], [0, 41], [12, 60], [172, 209], [163, 205], [17, 57]]; loss = 0.008352 low_pass_filter = 0.300
+Epoch 0: | | 18109/? [3:04:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 18110; scene = ['e1dbf381c5e6062f', 'fb574aa41468e611', 'a37747c6526efa19', '0fbf74f0807a4caf', '6d322c643d809c22', '3e965916afe80294', 'bf3e3a1d9c79c6ad', '43bcb83cec307fd3', '45d50ae276b85405', '2fafe4c720233492', '374c8f92cf81790c', '1495ec8edae2866f', '02fa57a5ab3a1fcc', '964d56d84127b1c9', 'cb2331e540c260ef', 'e614acc38ad1958e']; context = [[182, 222], [165, 218], [78, 133], [154, 191], [116, 172], [1, 35], [12, 61], [23, 63], [0, 37], [6, 55], [83, 121], [26, 78], [5, 58], [51, 86], [117, 157], [80, 130]]; loss = 0.009559 low_pass_filter = 0.300
+Epoch 0: | | 18119/? [3:04:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 18120; scene = ['d31dabe7c96bc37e', 'a9df659c4acffb49', 'b7a4f7a6d35961d4', 'b8e146f9267164ea', '5acd43cd94a69279', '13fd68bb0100ad1f', '924c32f78e96f7b0', 'e1e79fcfe1891c76', '53a0c8f7a231f22b', 'ababe0fcdff0cb9b', 'c5e63a8726d8d66c', 'd83adec7ec2084f0', 'f71382a605a56ffe', '5693b9b70c4d1ddc', '5cc6a2fa5f0a41a8', 'c180b05e16a46ac6']; context = [[53, 107], [3, 55], [98, 146], [39, 85], [120, 157], [27, 65], [139, 180], [9, 60], [57, 108], [52, 86], [10, 63], [209, 243], [43, 96], [60, 101], [10, 44], [78, 115]]; loss = 0.008592 low_pass_filter = 0.300
+Epoch 0: | | 18129/? [3:04:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 18130; scene = ['0b4070d37e896388', '4cd18aa0eddf1c14', '114722dab6907d8f', 'b28ac5a98c93f8d7', '9cc8edf8ad90d501', '536722ef3e6c42c0', '8e4631a328f2870b', '1a879e247676f602', 'f2017756888413f5', '4c8af0d24086244b', '173d17a265c4d133', '1c4574a370bbaa00', '9ad01eaf5e7a6272', '926c375e9e97645f', '14c89d90e8cd6c5a', '80a2aa476e1f0685']; context = [[5, 45], [0, 38], [55, 96], [0, 40], [29, 65], [54, 102], [27, 64], [45, 79], [11, 48], [149, 204], [0, 49], [0, 43], [1, 36], [8, 53], [3, 54], [54, 91]]; loss = 0.008823 low_pass_filter = 0.300
+Epoch 0: | | 18139/? [3:04:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 18140; scene = ['ff6ac8d2fdd0b884', '354d09806f690d23', '7c68690722edb3cf', 'a11083d7abc86e30', '30f3988596f209ca', '6afad1b7b4d32884', '227ca171b4fd59c7', '9c04998debe3302b', '783014bf9bd8342a', '8fa13f57998d5db1', '85339358654d39d2', '7e8e2c1ec16ca90a', '75d3c0a74d25d6b9', 'e062e2320ff7cc68', '66d4cfd1f0b91bb5', 'ceef2c85187c34bb']; context = [[121, 174], [2, 39], [8, 53], [70, 125], [50, 104], [10, 60], [81, 125], [18, 58], [173, 222], [15, 51], [47, 83], [8, 55], [40, 84], [15, 54], [1, 36], [7, 62]]; loss = 0.011753 low_pass_filter = 0.300
+Epoch 0: | | 18149/? [3:04:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 18150; scene = ['b8ab08f0e030777e', 'd64656f9226227a8', 'a90d7e1f603c2678', '852379c2f0247491', 'a2db1a09f3dc926c', '529d6867b661f694', 'e69dba4f460252f4', '1d8c476a1d7ba676', '8ec569a60a2574c4', 'e2487e8621c1d42b', '27e964e81146cb3c', '160a5e836891dc9a', 'bb54979865b17a41', 'cf1150104e980262', '44c6cc560e88c7c2', 'd7b9f499f7000d79']; context = [[33, 79], [13, 63], [48, 96], [69, 109], [62, 101], [58, 96], [44, 89], [25, 61], [205, 256], [31, 75], [67, 104], [11, 55], [7, 56], [140, 180], [47, 87], [171, 208]]; loss = 0.014503 low_pass_filter = 0.300
+Epoch 0: | | 18159/? [3:05:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 18160; scene = ['ecf309ffadd46a42', '8e30c261124dac91', '9d67cfafbd23367e', '0cd1b0470eccc71e', '8ff606e3b4579d71', '1822b50faf4d9e67', 'eb903c09804d201d', 'd9dccd1426001628', 'c3546f2378897274', '5f6cb93dc08fc1a6', 'a1263b3db507aadf', 'a783f75bbaf79a7e', '58278081778e848c', '9c9956683afa0635', '852379c2f0247491', '7bc880614fa3e331']; context = [[43, 88], [26, 77], [49, 88], [12, 67], [63, 108], [17, 62], [0, 49], [27, 70], [22, 72], [74, 108], [0, 35], [0, 54], [30, 76], [46, 91], [30, 86], [25, 81]]; loss = 0.013007 low_pass_filter = 0.300
+Epoch 0: | | 18169/? [3:05:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 18170; scene = ['04f4b776f5977a38', '4395faa9194bea81', '8ac74f698e20d973', '8130ec78d068528f', 'fdeb338cf4c3ce7d', 'ebc5a6bd55511e51', 'f447bda6e847100a', '804c8a7e019f74c9', 'cc86a5c7153ad651', 'e20bcce405ebc05a', '67f532ee7b3422e9', '7f13d0519277357a', '01c2018ab9fca9bb', '4dbe8740d992c3ff', '2535d1b64b03e1e7', 'b2a4475ceed93e3f']; context = [[146, 199], [160, 210], [28, 66], [189, 236], [11, 45], [34, 84], [14, 61], [166, 211], [40, 84], [57, 97], [38, 78], [28, 65], [91, 128], [40, 81], [48, 89], [23, 78]]; loss = 0.010033 low_pass_filter = 0.300
+Epoch 0: | | 18179/? [3:05:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 18180; scene = ['1e0023efed6183a9', 'dc015aae44af1ee3', '7d1a5c5ed1505601', '0a28e6dad8e7b89e', '8d96d7e89d8e0026', '449002ada2ccb247', 'a6d7ad61aadbc7f1', '4c62fab420d2ad73', '1daa5a27b4119f90', '08910ea87a38fe67', '2fe5a6b92cc71b74', 'fdd79619ef66bbf7', '442b8ca8e4a5a01c', '727d3f54f1a28a77', '4c4c66eb8440e75e', '41893f4de30cd0e2']; context = [[0, 40], [8, 44], [49, 98], [2, 41], [17, 56], [29, 67], [41, 94], [216, 254], [36, 90], [9, 62], [25, 79], [140, 188], [6, 50], [5, 40], [18, 54], [2, 55]]; loss = 0.010533 low_pass_filter = 0.300
+Epoch 0: | | 18189/? [3:05:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 18190; scene = ['7ea7fb4593690bc0', '152f4c5b20ee0ee4', '147af6c3540e5204', '63c9bbadf67d221b', '773bd707bfcd6f0b', '1eaa9fc083b6f746', '005ffc1aae84bdbf', 'a203b03766bef01b', 'b92f911f9e885da2', '25f2dc2a0fd895aa', 'ad5860bc55ead845', '4709fb0f561e0bda', '3c7c7a9efd56d2c8', 'ba30c9286512bd26', '5d456713844a86b4', '24c48d5c3c1ad376']; context = [[12, 50], [3, 49], [6, 53], [73, 125], [19, 64], [21, 62], [34, 88], [0, 53], [75, 111], [83, 123], [36, 81], [86, 122], [27, 76], [168, 204], [232, 268], [185, 236]]; loss = 0.008940 low_pass_filter = 0.300
+Epoch 0: | | 18199/? [3:05:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 18200; scene = ['246fed0a9b054ee5', 'd9effdd73ed277c5', '71aaf67494c15541', '63da47e50e923268', '08f81561d2f0195e', 'dff8abe7fb65a56e', '402d1153b582b8a8', '9790cca738845fd8', '29abc638286c5fea', 'eecabe2d591d9fc2', '792225d2e2a82033', 'e6c85be23fed04b5', 'f34809973ead56df', '6d90494a91d08cb0', '4ab0fc22f4d9bd6b', '38e8301a4405eca6']; context = [[136, 192], [92, 143], [14, 68], [36, 86], [136, 176], [192, 244], [0, 41], [11, 54], [29, 73], [47, 82], [5, 41], [12, 56], [27, 78], [38, 84], [1, 48], [9, 64]]; loss = 0.011907 low_pass_filter = 0.300
+Epoch 0: | | 18209/? [3:05:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 18210; scene = ['ed597ec28cba325b', '2a7814a09f94b1ef', '76a7e3baa458cb1c', 'ddac7e2745479412', 'e94399e61cdc8ee7', '87859560d110e619', 'a79878c670ca903f', 'd4bb75af014f9427', '47d8f4be2be93a36', '047e7dfc69533d85', 'f04708b15586fceb', 'f279ee0ac940c8f9', 'f6ed403d51c084b2', 'c3f121951504f029', '09f5ce489b61a6cc', '0fa85c737e39a16b']; context = [[33, 82], [12, 50], [0, 52], [5, 39], [72, 116], [98, 140], [16, 50], [25, 61], [54, 99], [39, 95], [34, 83], [59, 98], [44, 95], [118, 169], [27, 61], [27, 74]]; loss = 0.007887 low_pass_filter = 0.300
+Epoch 0: | | 18219/? [3:05:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 18220; scene = ['02660d7eeff1def7', '888a7a590e630ab3', '8a9eb2e62d13a16e', 'df23de9560b63c4c', '928cbcdadafd9162', '7bf3ac0210a2493e', '438f0c1e909944ac', 'c6959359a3c326fc', 'fa70653c9afc1d26', '13a5073f10bd6548', '4fb34e6488c11bd5', '6d8bfb763a4b5db3', '83b176991cd278e8', 'a329ff03f82e42f1', '92faee076ed2ae40', '28478600e3b81375']; context = [[82, 138], [31, 69], [32, 77], [1, 43], [32, 84], [5, 54], [21, 68], [9, 48], [8, 56], [24, 76], [85, 126], [14, 50], [4, 39], [96, 144], [75, 118], [0, 48]]; loss = 0.012340 low_pass_filter = 0.300
+Epoch 0: | | 18229/? [3:05:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 18230; scene = ['1763de5053513f19', '1c8f2370f5f1779b', 'bdd954715536117a', '5cc94bb94a52ebb6', 'fc31902e9a98a596', 'f61d7b73c1641023', '3e3fb6f137b8aeb7', '98b44ebdf2f794db', 'ac65b15a2ffa472a', 'ba81a709a3ccbf60', 'f65b0f1c85220945', 'e0c6d65300fd0eca', '98d0bc07e597d5b4', '86aea91ce8ac07c6', '108004383c3ebe6a', '6c5febd1d956e17d']; context = [[24, 61], [3, 53], [8, 51], [100, 145], [17, 51], [13, 67], [18, 61], [1, 35], [42, 89], [84, 126], [21, 65], [7, 44], [40, 87], [54, 89], [0, 34], [26, 77]]; loss = 0.009460 low_pass_filter = 0.300
+Epoch 0: | | 18239/? [3:05:49<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 18240; scene = ['179597469d220854', 'f8b5523fcadeddc4', '0dfd716fde1dd41a', '166c0676a47bb041', '8c219866f7654022', 'ac495df935b4e2ed', '3b671f868140da57', '207c2bc4b59f6f8f', '6260e3927b2ca5c7', '7588d7f435201409', 'd997a096b875c805', '91f98f141ee8cf7f', 'e050481aaa33e29c', '632247c719d13ac2', '6bd432a1ace69b56', '859fa87773fc4afc']; context = [[73, 129], [137, 173], [10, 55], [8, 64], [20, 66], [54, 99], [0, 35], [3, 44], [2, 54], [115, 159], [4, 55], [5, 46], [58, 104], [80, 126], [21, 76], [90, 134]]; loss = 0.009529 low_pass_filter = 0.300
+Epoch 0: | | 18249/? [3:05:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 18250; scene = ['1a33be72987c0159', '4edda19fc6bf05e6', '7bc220bde1ecc99c', '91a10f355844279c', '07b97ac9bbd7f7b5', 'ccd43acf778deb98', '85192571440277f0', '0da569d99405b772', 'b72ac3ba4ab363e1', 'aa595348b3b726a5', 'dbf41936e7ae1296', 'e0306f2e3e069458', 'e2eda2dcbe5ec24e', '0f81dd482ac2903c', 'c64adbc702b803a6', '491fb1a7fed76dc0']; context = [[13, 47], [51, 93], [23, 57], [104, 160], [52, 90], [158, 212], [8, 50], [20, 60], [31, 80], [14, 50], [8, 57], [52, 105], [11, 65], [2, 45], [31, 73], [5, 56]]; loss = 0.011860 low_pass_filter = 0.300
+Epoch 0: | | 18259/? [3:06:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 18260; scene = ['d58d5c6a87dd5dea', '2bd6b11df030a5ec', '9327d6be6d69b135', 'e3e8d578bcdf23e4', 'eab2801e7ce5e17a', 'fdf733d3297e24f3', '2a6b47d35a74d85b', '9411f16aee4d909f', '3567e42cd469fe52', 'b01cc99c3f15ace5', 'e5b31afaee88be2c', '146eb92a5a651333', 'bc877ec05ab68609', '9c5db6994c974162', '890d0ceb50454ee0', 'dc0a4c6bbe93b0d7']; context = [[84, 124], [46, 96], [5, 44], [3, 37], [5, 55], [22, 65], [4, 54], [180, 215], [41, 83], [176, 227], [65, 100], [5, 55], [19, 64], [93, 131], [154, 188], [48, 97]]; loss = 0.010054 low_pass_filter = 0.300
+Epoch 0: | | 18269/? [3:06:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 18270; scene = ['14a5a9be7c637dfd', '847ffb5da550c38b', '1c1261ef4744a1a9', '384fbfea1a24cc4b', '0c808be8b8b4cf9e', '3bba9ca3cdea84f6', '572170ba09aa2723', '05927b7094d0cf92', '3f40a05deb57517b', '09a6ab6ebfa53654', 'df91064f4d75da1a', '0b54a4290140f2da', '25aca069a7b5ad8c', '4a609368e3b1a0e2', '2e942afcd1334f69', '9b72c44a6343236a']; context = [[55, 93], [1, 39], [119, 163], [36, 87], [17, 62], [20, 66], [21, 71], [24, 61], [19, 53], [2, 54], [142, 189], [190, 243], [29, 80], [34, 82], [5, 45], [20, 76]]; loss = 0.010577 low_pass_filter = 0.300
+Epoch 0: | | 18279/? [3:06:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 18280; scene = ['6102005c6aa4af25', 'c472581eb9a351cb', '41d5e2c76fc98daf', 'c21766bd51fed5bc', '4520905687a0a140', '87f209fd7136651b', 'db006e93c705bdfc', 'a85647cf663c232e', '421c253b75c9837b', '285e71a142648b59', '1c623d258472de23', 'a74bc46de5a58ca9', 'ffe1aa38cf3c314d', 'd1bc8f60e738a862', '0ddb9e85fadf188a', 'f8d802b8809927c3']; context = [[20, 71], [106, 142], [86, 133], [10, 49], [230, 266], [35, 84], [1, 36], [39, 76], [53, 107], [141, 197], [36, 77], [110, 158], [13, 62], [74, 126], [14, 58], [4, 58]]; loss = 0.009554 low_pass_filter = 0.300
+Epoch 0: | | 18289/? [3:06:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 18290; scene = ['8c058dcde89e65b1', '167ec6176da15b0b', 'd966e7c0739c36a8', '93211c8c0ea19307', '829c847536f4ed7c', '61e661613b2d25d3', '6a350ebce6b44cf8', '090563e6281b200d', '71a67ae4eccba383', '2a5f0ea759c4a950', 'cb68843a409bae9d', '46bd6752c4ea9d50', '678d2e43ab3e3371', 'dda98b150531b29e', 'a152a4b1f19f25ed', '92c72363c53e8498']; context = [[10, 65], [1, 52], [9, 52], [50, 87], [66, 122], [64, 99], [29, 82], [113, 161], [77, 113], [59, 110], [1, 52], [41, 92], [46, 94], [45, 90], [7, 52], [1, 51]]; loss = 0.011243 low_pass_filter = 0.300
+Epoch 0: | | 18299/? [3:06:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 18300; scene = ['fff923a9b6bd66d0', 'fba4077e3266cf2a', '314ffe1c4140684e', 'bfce2ee21425a4b1', '4d8ce79fe1dc76ea', 'c13a53c648b36401', '40376e9c2cadecbf', '124a8e1a8219f20f', '7025666cfb44748a', '3840264dfb7c4d0b', '004daabedd090309', 'fa0ebac9a7dc602c', 'bb32e9a89ca9387e', 'e8de65fe4e647a7d', '71d70edad4f466d8', '31250ac58b3e32c9']; context = [[15, 58], [4, 58], [5, 55], [71, 119], [101, 137], [22, 57], [195, 230], [58, 113], [40, 75], [11, 63], [41, 89], [4, 43], [205, 258], [19, 53], [34, 69], [54, 101]]; loss = 0.010411 low_pass_filter = 0.300
+Epoch 0: | | 18309/? [3:06:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 18310; scene = ['14aef9a47d9d0adb', '6e4e3ca312aeca89', '76249ef3f80465ef', '18c9eb6a083050ab', 'b71eb67f42fe4777', '089438611d6bb03f', 'ec1288c83e6931eb', '7b28545e0b1de8d6', 'd9408438cb04cc3b', '060f845d914b375b', 'ecb3d127960785e6', '4c695d737359d9e7', '3452e92c33da15ca', 'ef37ead68f1e378e', '2d17606e514a2dbc', '5928418b505f300b']; context = [[45, 97], [38, 88], [38, 82], [2, 38], [70, 113], [1, 46], [0, 52], [67, 113], [13, 59], [42, 81], [117, 151], [28, 64], [30, 74], [19, 70], [18, 73], [61, 103]]; loss = 0.012543 low_pass_filter = 0.300
+Epoch 0: | | 18319/? [3:06:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 18320; scene = ['4085aff1753b53ac', '1d4f8bd46c960db8', 'c7f3ba9289f424d4', 'f765a2b14a33fffe', '0849a021a3a51cb5', '9e3c6f6868453f09', '5129718570b4de96', 'bf44ecdafd3fc91b', '19075f7c930c8fd7', '4df1bd8504fdc8c8', 'f150a1954377bec6', 'db1a7cc25841ace2', 'cc41db844962d020', '4b7f3f58b0838d38', '1db7b91f8baf3aad', '161ac23fc7202698']; context = [[4, 39], [24, 65], [46, 99], [51, 98], [27, 68], [43, 86], [24, 74], [178, 217], [68, 122], [6, 61], [51, 87], [133, 182], [79, 121], [20, 55], [3, 59], [34, 78]]; loss = 0.010580 low_pass_filter = 0.300
+Epoch 0: | | 18329/? [3:06:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 18330; scene = ['3918e4998619b227', '09a1e9bbded02341', '52ba723e1b5e31da', '30e1d420b926d6f0', 'b23cbee05407661d', 'd069c35354465fa9', '2a23966bfac99977', '1db855eb2be5b983', 'd1a496112cee9a32', '14270bac7ebd4ce4', 'b6f65429632f92fa', '8902e97c5814433e', '9385417613453951', 'd00bf9c20463c925', '2bda64489943db2d', 'd765975fd4b393d3']; context = [[35, 72], [33, 74], [14, 56], [80, 128], [100, 151], [0, 39], [17, 71], [200, 246], [28, 75], [66, 106], [15, 49], [14, 67], [84, 124], [33, 79], [4, 46], [19, 68]]; loss = 0.010667 low_pass_filter = 0.300
+Epoch 0: | | 18339/? [3:06:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 18340; scene = ['6ed7035ece6b581d', '7f0e6c095567322f', 'abd87f1b5936bb26', '9bdf01f7f007a388', '30be17507c872508', '33152d559f58f283', 'f0fbc2d05c030b1f', '9764623d64fd8c79', '6f8dd2aaf516843b', '057aed77be9938e5', '6ab9130bb775eeb3', '6ada4783e43f0146', '7ad8998a09b3b298', 'cce0ef8d8c256f0d', '1ddbae6bdf4de387', '7c2f40d017ef9cda']; context = [[11, 60], [52, 102], [0, 44], [31, 67], [20, 74], [0, 56], [11, 61], [15, 57], [69, 114], [5, 61], [19, 67], [25, 75], [2, 39], [64, 107], [63, 114], [16, 58]]; loss = 0.011962 low_pass_filter = 0.300
+Epoch 0: | | 18349/? [3:06:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 18350; scene = ['cce776cba18d88a3', '3ec6e37fc83d8cb1', '8c97122ef8c219f3', 'd0b0b6bb1a8ddf25', '652aa3fc24f9acd4', 'fd75df33c92b8b7d', '638e60ddbc032e18', 'fbe21b4757833c52', '22304d25ff8fdb21', 'def34b505175c879', 'acf3f0b89e788b5f', 'e7a2deee0dfdfc9b', 'ccc3c526fca2efc9', '57edf016011a8725', '1ccda2d2f30c1ae4', 'fb2237d2952644ae']; context = [[17, 62], [50, 100], [175, 218], [62, 113], [211, 254], [117, 162], [228, 276], [112, 156], [11, 46], [212, 261], [90, 145], [10, 48], [44, 88], [4, 43], [1, 52], [92, 129]]; loss = 0.010388 low_pass_filter = 0.300
+Epoch 0: | | 18359/? [3:07:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 18360; scene = ['8026620adc8bbca9', 'd2fc8bb1e626f266', '87b0132f747a2e25', '13efef8e53154b7e', 'a3a79b5f6ca5e6af', '71957e818c5447d3', 'f11dbe2f4715374a', 'c9c5b6a222e95638', '3e4cf3c544701784', '793af8b07adbf890', 'a153b1e139e7f546', '600f5072f9d48334', '179df99f00f05473', '14786c16a13c740a', 'bb325552ee5fd2de', 'a87bd967231bd348']; context = [[20, 76], [24, 59], [0, 39], [57, 112], [45, 101], [41, 87], [3, 44], [26, 64], [42, 98], [6, 44], [129, 184], [106, 159], [1, 38], [0, 40], [7, 54], [39, 90]]; loss = 0.011992 low_pass_filter = 0.300
+Epoch 0: | | 18369/? [3:07:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 18370; scene = ['8bc195147942ed17', '210453e1d754af6e', '82710ae1d85fb247', '1164f5249fa700ea', '515583ca3493111d', '794a33acf2a0863e', 'cce0c126b9b53bfe', '70a6534438ec97db', '88b2ace543554005', '0e969f24a01a0e5b', '4281c9c2d1655e67', '786d4e8a8c162c2c', '36f77b7e22d93207', '6f960d30479535c0', 'e62cc4d8f3efe6cb', 'c82ebf2a71996942']; context = [[4, 54], [31, 74], [162, 196], [142, 194], [10, 64], [136, 179], [32, 77], [102, 146], [88, 124], [203, 241], [41, 97], [90, 134], [116, 165], [29, 79], [44, 87], [53, 107]]; loss = 0.009403 low_pass_filter = 0.300
+Epoch 0: | | 18379/? [3:07:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 18380; scene = ['53d4a63245e810d5', '89b5ec9b0cdd9abf', 'd83f2d1ffd5fd125', '53cf2cc7b652652e', 'fa632bf50b38bae8', '07a25af6fa4f67f1', '4cd63d7db9016541', 'db7a639eb376d2bf', '3f771cd05baf3191', '04635aa0ab8b1be7', '4994f79523443d28', '7c9d31be8c9d4e98', 'f9ba6c7965a9d01b', 'a8f03ba94fba80b7', 'd50b81adaf488575', '152ec9bbbb4d13d2']; context = [[42, 84], [27, 61], [91, 125], [22, 57], [29, 77], [66, 100], [47, 94], [9, 54], [21, 74], [4, 49], [50, 89], [115, 153], [28, 70], [36, 89], [11, 64], [12, 61]]; loss = 0.011915 low_pass_filter = 0.300
+Epoch 0: | | 18389/? [3:07:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 18390; scene = ['9f8ece2ca66329ed', '57aa8ea646fd3873', '2118b6f58a7c23b8', '71bb635a79452a2a', 'af225c1d1a503b76', 'a1312f7fbf0f09d8', 'd9ab071a4a512b35', 'a40b41c43b39315a', '304e4b99a49a09b4', '5b551abcbd9abfff', '5504408192268809', 'ad5da2dbff32a118', '9aa6a430ba45a983', '8de3f05e796ac83d', '77558b2d2c2b4265', '9b9632b6f2b09ee1']; context = [[19, 61], [0, 55], [7, 55], [41, 96], [14, 54], [37, 72], [191, 242], [0, 43], [34, 71], [174, 215], [23, 58], [132, 181], [2, 52], [58, 100], [9, 52], [12, 67]]; loss = 0.009270 low_pass_filter = 0.300
+Epoch 0: | | 18399/? [3:07:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 18400; scene = ['6f6b3630c1daf8bc', '59de2764607e1b8f', '2b92e1411ef38e4d', 'c1fec197b3a59315', '1a251dc2dac5cd26', 'f76db35ccf517018', '77d9893ba17a1330', 'abffceaf0098faa8', '0ca219e558a9ced6', '98b99eb5c3bd9603', '1d08d09515970972', '9a1d44db3a25db6e', '220dce699828800e', '86ad7073445c5301', '29c107478a356315', '3dbcad1eebd8c8a7']; context = [[20, 56], [195, 248], [1, 54], [0, 39], [31, 69], [98, 149], [54, 92], [2, 50], [69, 106], [0, 36], [17, 60], [52, 94], [141, 179], [17, 63], [31, 86], [117, 166]]; loss = 0.011927 low_pass_filter = 0.300
+Epoch 0: | | 18409/? [3:07:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 18410; scene = ['1a4c1a100cc1591b', '436dcc5419206f64', 'ff302ea5bc2cabdc', 'c0762ed9f04975c6', 'd53bea12fd3fb6b0', '194bbd8919fa06af', '26701072b1591699', 'f2733e8cc2306488', '2a42dab87b71b88e', 'aace48697cb07a11', 'beb770324d0f9760', 'adc9957afc8f74e9', 'fdd724537c1a4c3b', '2b03b18b7d2d3a98', '2e65e53594c6774f', '4e45c9526d78ef72']; context = [[226, 261], [12, 57], [4, 47], [92, 148], [27, 74], [29, 80], [9, 56], [94, 146], [0, 35], [7, 58], [9, 58], [5, 53], [15, 68], [25, 68], [50, 85], [33, 72]]; loss = 0.010455 low_pass_filter = 0.300
+Epoch 0: | | 18419/? [3:07:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 18420; scene = ['80c36f3524b4ad8c', '7392304374659efc', '25f5058d556324fd', '167b3ac16e642dac', 'f0f12c1c465e21e5', 'd9b2177e1999aa88', '72fe0395095d3abb', '9bbdffac7c93063d', '645567ee2438a9bf', 'b7f47dac8c0ae90b', 'c9de4d71fde8bf65', '7a06eb9ada098378', '79b01e4345584de7', 'efc8b93133b0f6f4', '1484e9c4187a562d', '070f0f205e58ec62']; context = [[8, 48], [19, 65], [0, 36], [223, 266], [54, 104], [219, 260], [22, 59], [20, 61], [80, 115], [25, 77], [77, 120], [59, 114], [9, 57], [18, 71], [4, 48], [31, 84]]; loss = 0.009591 low_pass_filter = 0.300
+Epoch 0: | | 18429/? [3:07:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 18430; scene = ['e2bc4d880f60adb9', 'a37c6a2facaa701f', '6087f77fb4177410', '5b566e1764ab72c5', '01d9be152232032c', '593878463d41539b', '6915c82c1126fc3b', '7d765fe18635a270', '6bc481df13d37492', '623a995282f38ea7', '7c40d36c53875062', '1564e3963a26d03c', '0f5bf8f5bc26eb2e', '9bf240527154779e', 'ac71d3b414f5e9f3', '13d62e6992367b80']; context = [[12, 59], [40, 79], [29, 72], [60, 114], [21, 58], [9, 45], [0, 49], [78, 133], [25, 71], [18, 65], [11, 62], [13, 68], [11, 58], [10, 65], [15, 54], [54, 109]]; loss = 0.010189 low_pass_filter = 0.300
+Epoch 0: | | 18439/? [3:07:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 18440; scene = ['21498fbe61ca3974', '4c01186382ecdb09', 'cfc2dff63bf01958', '873ef55396bb770f', '9a6c343fec9da347', '6854cdb73b5a95d4', '0a08efb286b97b9b', 'f139ab06e65c3762', '84d357fb13b45975', 'e3d0cca5e61b6b3c', '2eca62a782bb02c8', 'c4b27a45d91f3791', '1bd64b4080442b17', '36b7ccfe63ee6880', 'd7d963a5b41cbcf8', '0f1cb2c833e548e1']; context = [[11, 67], [190, 237], [22, 65], [1, 35], [31, 76], [3, 50], [161, 200], [31, 71], [70, 113], [11, 60], [3, 43], [12, 54], [13, 55], [2, 51], [7, 62], [24, 69]]; loss = 0.011860 low_pass_filter = 0.300
+Epoch 0: | | 18449/? [3:07:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 18450; scene = ['bd15cdb6544e4b4f', '46a16b80d7b725c1', 'b43104adbdf3b1a0', 'a1a44fdd4720ce4c', '225ee824e3d5dc51', 'ce39744fa5a6e73d', 'c50bf41a6ae14f25', '5d1517dad9f9fbb6', '9df293d4cff7a027', '8ecf1e4e58a9553d', '7341e63a7c77334f', '6223a7a4c451dfac', '00ad47b927f0c851', 'aaf53710fd4ba7fb', '83d97ebbe2e3c69d', '004d2899ce6cfd7e']; context = [[28, 67], [11, 47], [167, 215], [10, 61], [79, 119], [0, 52], [1, 49], [3, 53], [57, 95], [46, 91], [17, 63], [107, 148], [5, 42], [218, 253], [18, 65], [66, 100]]; loss = 0.011840 low_pass_filter = 0.300
+Epoch 0: | | 18459/? [3:08:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 18460; scene = ['f7bfca3706acaee7', 'be27d7753382c1ba', 'f76a4959d4dda998', '531eb7346128999d', 'f62db2ed14851eed', 'b12711bf04626950', '65e8056ea2cee790', '84e17c90adf82d3f', '5bff580b11c1d3a4', '924dc58634bfef3b', 'e910f82449c902f9', '7b4d0cb42e1b3197', 'a859d007d39a68f3', '5d5fcf8a69870c95', '8ff9e75e25018b62', '73bed0f6a4b9b166']; context = [[134, 189], [22, 75], [36, 92], [60, 97], [56, 106], [7, 52], [3, 49], [111, 148], [32, 87], [3, 56], [103, 159], [28, 71], [4, 58], [54, 93], [57, 108], [32, 79]]; loss = 0.009800 low_pass_filter = 0.300
+Epoch 0: | | 18469/? [3:08:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 18470; scene = ['ec719970f17f2eed', 'ce31e33f156aeec5', '6f515f805a3d2848', '214c29d12940696a', '9687e70e5f4eed37', 'e599e584e54fd42b', '756a0a00121f53d3', 'cdcc58497fc89b85', '18c6d122fe4c3dc9', '97a395ac62304d1b', 'bdaf42f6d92c13a4', 'c073e79fc1a1913f', '7e3991a1e57c1b92', 'c9fb94c034427022', 'e621fd73ae473881', '36e9f6aa15a645bc']; context = [[10, 63], [87, 142], [47, 84], [15, 69], [14, 60], [9, 49], [1, 41], [3, 54], [2, 56], [188, 241], [42, 83], [73, 118], [123, 158], [0, 36], [39, 80], [14, 62]]; loss = 0.012112 low_pass_filter = 0.300
+Epoch 0: | | 18479/? [3:08:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 18480; scene = ['296063ceba643c07', 'a67e709b68b7163d', '7e34a8e57c879465', 'bdf562da5cc7475c', '5a9672017ab85918', '723f94d150ab09f2', '48c804cdf23efb75', '18aecc2e66ae3112', '31240f5e4b708132', '8dccacc5fe8bf81a', '6e5505414fd63528', 'f79131c37898081d', '5dd74e1b033f8b76', 'ba6bf49cf0b22c94', '9e6d5b78c1967c26', 'bcaad1326a06f2df']; context = [[92, 142], [23, 71], [4, 60], [42, 82], [16, 72], [104, 151], [92, 138], [77, 120], [34, 83], [20, 64], [28, 81], [29, 68], [6, 60], [9, 50], [120, 170], [35, 71]]; loss = 0.009966 low_pass_filter = 0.300
+Epoch 0: | | 18489/? [3:08:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 18490; scene = ['eb4564ff70997029', 'dfb5ff252e8d744e', '90d558cf6e28e118', '50df652eed62ded6', 'db7ab4ff7d59a066', 'd19836a61f80f65a', '26088dbd45a7aa54', 'd40f8c821c094033', '815e194dbbd8df15', '30c4e4e000f6e116', 'a40168cbb4106e66', '1028b6409fe844a9', 'dff49a02b469a780', '13340b4c0df80e3f', '693d722638a2224d', 'c05d8cf8670ab48c']; context = [[111, 148], [22, 67], [38, 83], [65, 110], [7, 43], [14, 51], [1, 52], [12, 50], [113, 162], [107, 153], [5, 43], [184, 239], [17, 64], [36, 90], [9, 53], [79, 127]]; loss = 0.012256 low_pass_filter = 0.300
+Epoch 0: | | 18499/? [3:08:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 18500; scene = ['cfee77c0ae0956f8', '0ad07becd5278e08', 'f05b0d2de6f263ff', 'adae27b073e92904', '87d6c736b31761f7', '43c173591e7de4e9', '0a1abaa6ea233a54', '2bac81068ebb0b09', '19d3d89506b5895b', '7648e09787b5ab2d', 'fb5f6ef461418097', 'e50e974531275016', '22aaa7d6980b7c1d', '25b3eb02b0915107', '73f6ac2c4b2d44f3', '68df89951fc13293']; context = [[68, 121], [218, 255], [21, 68], [23, 60], [36, 70], [5, 51], [61, 114], [21, 61], [0, 46], [18, 60], [56, 111], [190, 243], [63, 98], [86, 134], [2, 56], [31, 71]]; loss = 0.010510 low_pass_filter = 0.300
+Epoch 0: | | 18509/? [3:08:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 18510; scene = ['850fe18254e517b4', 'ab78b3eb64029b73', 'a1d1c182d3b2ee90', 'c9266f8b6968ca51', '0a2b30f8255c2a93', 'b6d6a1ec65fa5263', 'e3b385876279e0fc', '2578cd7cec8068b4', '2bc8b64aafc5870c', '50641afd11ba76f8', '5195d6199756de8b', 'abe6335b937ba7c6', '0e895dab0c10b89d', 'a212154cd39361ca', '55595976706bb7a8', '98d47fe7993b4d5f']; context = [[15, 67], [88, 135], [22, 79], [5, 43], [0, 41], [6, 54], [12, 62], [104, 159], [119, 162], [141, 186], [33, 74], [58, 113], [110, 147], [0, 34], [44, 79], [42, 81]]; loss = 0.013691 low_pass_filter = 0.300
+Epoch 0: | | 18519/? [3:08:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 18520; scene = ['08f62581d3c0cd3b', '5a1c3e7d540db485', 'bfaf41c1cab8e2ed', '49bcc3c9e090dad8', 'ff88889c88690944', '7ca92f7455e150c5', '4b16dc601623399e', '67278dd47246bf21', 'e7997d8b510b40d2', '5fd9259b0e59803a', '185734f346da3d9e', 'da277be2ddd6be22', 'c442e876460bd2dc', 'bf26b60d1088ff4c', 'e47205222b26ec62', '37ed52f3a6fda53f']; context = [[64, 117], [28, 80], [48, 105], [0, 34], [210, 248], [38, 91], [18, 57], [38, 88], [16, 68], [60, 116], [19, 57], [14, 66], [7, 63], [27, 81], [95, 151], [133, 173]]; loss = 0.012960 low_pass_filter = 0.300
+Epoch 0: | | 18529/? [3:08:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 18530; scene = ['e3f35d03c1b316a8', '59689345260b0920', '4856e6d863a32e60', 'ede1a18c89abe3dd', '47ad84524200655f', '4fd9d45647d536e5', '43b9a1cebcee9f70', '2a3e630ec3bdb846', '998802a48c76fd37', '7f19946005cbe8f0', '8fe5fd9e06ca3c9e', '82513f328f3249f6', 'e8f4103470bffeec', 'be78b445daa29b6b', 'a74f43b16ad90fbf', '253ad0422954892f']; context = [[0, 49], [12, 54], [138, 174], [20, 66], [52, 95], [35, 79], [85, 120], [50, 89], [44, 93], [30, 69], [14, 58], [4, 49], [23, 79], [28, 83], [73, 127], [1, 38]]; loss = 0.009634 low_pass_filter = 0.300
+Epoch 0: | | 18539/? [3:08:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 18540; scene = ['3d1fcbb234f1fb6b', '6baec9484ce06cec', '96c727dbddb745a3', '9a946a8ebf61333e', '36ba861c69c13e95', 'a327313124fbe104', '0708442894bdf82b', '1b044b8921702a81', 'a9662f57d649f1ad', '0a1aa875aca3711d', 'ded38d3ae876e8dc', 'bcffeca308e9651c', '861453c483faf282', 'aa416065dac5210f', '55f2830fc736529d', '8868de3626699c63']; context = [[48, 85], [88, 141], [1, 39], [43, 77], [60, 104], [93, 127], [8, 57], [133, 187], [4, 43], [4, 47], [0, 41], [32, 75], [152, 187], [0, 39], [6, 63], [2, 47]]; loss = 0.010327 low_pass_filter = 0.300
+Epoch 0: | | 18549/? [3:08:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 18550; scene = ['454c2d4b8699258d', '393f1427397745fc', '20023bc0d2cd36fc', '43ae1f4abe3cff11', '622933ea3b4974cb', '3eae752079cfc922', 'eefaa32af71b9eb1', '6782305975ac43cd', '8a9d96296fcf5b3b', '07d82757b10cf708', 'eeefb966e37e23e5', '7915a880baeb4ee2', 'f22824c5468fb8c3', 'b52ac8e1e536022e', '5fd925386deb1ba8', '6b76cc89f4505af8']; context = [[4, 39], [16, 69], [204, 254], [47, 100], [147, 201], [45, 97], [4, 58], [48, 94], [6, 45], [183, 220], [15, 50], [75, 124], [182, 232], [102, 138], [87, 130], [4, 48]]; loss = 0.012109 low_pass_filter = 0.300
+Epoch 0: | | 18559/? [3:09:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 18560; scene = ['89f25b63cce19665', 'd490835a644851f6', 'f14b4f2c965bf299', '1d1753bbd2cfdeab', '43b71e076982a21b', '2ffd5c936053835b', '2a1c0e06ea2cc146', 'b1ade16c01675828', '20538de137dec3a0', '24f5ad9c96469938', '096e540f66383e76', 'c102e9397a7598c5', 'faa09c4a4bb3844c', 'f4b7929261ffdccc', '5817c488b6a26b87', 'a3302f8344181353']; context = [[2, 52], [1, 51], [9, 50], [0, 56], [9, 46], [190, 242], [50, 93], [59, 99], [67, 116], [34, 72], [70, 115], [14, 52], [69, 109], [80, 121], [4, 59], [33, 88]]; loss = 0.011950 low_pass_filter = 0.300
+Epoch 0: | | 18569/? [3:09:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 18570; scene = ['eef123055b3c48f5', 'fdea0d77c74e62d8', '85b05ef7f035952e', '85552d4e56a4cbd7', '30539ec9b6f71b8b', '9cb37538aec83519', '2eeea27132d05c5c', 'f9f8caf1945fbe10', 'bfef10a1c5d073dc', 'ed5a6d44ac2dbbfe', '2c9be8b92a168541', 'e6356f4b96ded8a8', 'cd67983669a4a017', '0d98f880b82f6094', 'c38c9d83c7aa6296', 'af65d45e8c4ec7c9']; context = [[149, 189], [106, 159], [102, 143], [19, 76], [11, 46], [0, 52], [34, 71], [33, 69], [207, 241], [39, 94], [78, 135], [103, 155], [57, 107], [3, 45], [3, 48], [49, 95]]; loss = 0.009797 low_pass_filter = 0.300
+Epoch 0: | | 18579/? [3:09:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 18580; scene = ['e83e99bb33c1a3e2', 'c94d226b402bb584', 'a00f87e22e7a7e17', 'ce0161965212721f', '9db7b3ce6f093bfb', 'c7a6ccb56cf0220f', 'b5ef6bcc9a651474', 'ea3607afb2302a82', '1b291c84c14124c4', '8c8fd141c75ec5dc', '467a06de20ed1d5b', 'ab5746b36d0c079c', 'febb54850e20be98', 'cf2badfcc6029738', 'b9496e79c092db77', '49ab4dfaac816611']; context = [[72, 122], [13, 61], [2, 49], [38, 78], [24, 74], [5, 51], [31, 84], [72, 116], [65, 110], [70, 122], [54, 104], [6, 61], [90, 124], [72, 112], [49, 86], [50, 86]]; loss = 0.010735 low_pass_filter = 0.300
+Epoch 0: | | 18589/? [3:09:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 18590; scene = ['b4a067f6bed5167b', 'ff37eb9337254992', 'cbeae4190b62a213', 'ee3e327301f538d8', '965dc73b4eccdaa6', '7b06fe1270f6e417', 'e259e333d962215d', 'a9830a531549bcc6', 'a945e873145d0009', '5f87465e4c3f3cb1', '707f269a33776969', 'cc98f68f9382345d', '07a0e90120a50d16', '7c7532f300d608c1', '265602128d5ab400', '1e9dc61349d8a0bd']; context = [[5, 40], [19, 64], [16, 58], [9, 58], [11, 52], [76, 110], [19, 67], [38, 75], [4, 43], [51, 101], [27, 78], [49, 85], [16, 71], [138, 179], [20, 74], [79, 133]]; loss = 0.010940 low_pass_filter = 0.300
+Epoch 0: | | 18599/? [3:09:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 18600; scene = ['5c39bfba4de634f7', '128cd2b08433b12d', '4d4a729c442fb2c7', '41f17515470e2c69', '4e6f320e7881750e', '5557b9f1f838dfb4', 'e34b20228349d7d3', '8c4e4bca9b1d35e4', '31bd6ed47b560fb2', '29452b3952fe9c2c', 'df4cccc8b0781eb4', 'e8e63428804a5980', '51cf388a4d04e4e3', '6f87ded85440c7ff', 'e5da20a2c416b72c', 'd113b8357fa64b66']; context = [[74, 108], [0, 55], [29, 73], [37, 93], [52, 90], [54, 104], [5, 49], [50, 103], [16, 54], [9, 60], [11, 59], [44, 92], [22, 64], [42, 97], [93, 129], [8, 52]]; loss = 0.011278 low_pass_filter = 0.300
+Epoch 0: | | 18609/? [3:09:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 18610; scene = ['4753c4d248eb1910', 'b3de3aed8c4939b1', '78951deaf8c67b08', '3875459f2c397848', '0d897a5cbb2b8b50', '80b6fa3cb7a7a6d0', 'b7313e349b510acb', '06e9f26b5f803220', '072ace91e2fef373', '270ec2d099edfccd', 'b0139ba67c176260', '9af39f3dadb1471e', '1b2e793d39caec3f', '5a38b8d664c399f4', '9244ece752e135b3', '69029690713e2555']; context = [[33, 71], [92, 141], [5, 53], [198, 240], [164, 212], [76, 114], [32, 82], [129, 171], [8, 59], [199, 254], [218, 275], [3, 53], [51, 94], [5, 59], [2, 57], [95, 142]]; loss = 0.010499 low_pass_filter = 0.300
+Epoch 0: | | 18619/? [3:09:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 18620; scene = ['22e44c9efb4ac335', 'fb215dfa4249d979', 'f272bac50c6f6f32', '4d7eadc5b342a7c3', 'acd2ed932e21f625', '864148d49cf777cb', '60d80d50cc0bce1b', '2c4ec7127111bce1', 'f5a4588213a5cdfa', 'd8a5d7ed2df85474', '3ad4ea23277b8a65', '9ac7bed7b0a8b61a', '709108b3b7921a59', '97f13942e301b11a', 'd7e621e3e3fdcdcc', '839847f78aa7b6b5']; context = [[6, 40], [56, 104], [20, 61], [70, 125], [14, 56], [191, 247], [1, 55], [16, 72], [19, 62], [93, 133], [62, 101], [78, 116], [127, 180], [21, 66], [36, 71], [100, 142]]; loss = 0.011405 low_pass_filter = 0.300
+Epoch 0: | | 18629/? [3:09:45<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 18630; scene = ['ad9a0c2b517fc375', 'c5edd6cf1dbadb8a', 'bf1277b28c1894f8', 'd2dc639bcb77797f', 'f6383d62f2df75bc', '234aa55514e0ec70', '6a1549e061340f9c', '9f5aa847faee27b4', '2e1fb15b53a835ff', '6718140431816c04', '5b3d6bba4d1b3484', 'e1d9afaa8899ee32', '1997801bd183ce5e', '22930dc0f3c405c3', '7845e909a272d49d', 'c2bbcacaa79d985a']; context = [[39, 83], [95, 134], [125, 166], [10, 47], [106, 154], [11, 49], [1, 51], [23, 70], [25, 80], [8, 49], [28, 79], [164, 203], [78, 114], [3, 48], [57, 114], [6, 50]]; loss = 0.012264 low_pass_filter = 0.300
+Epoch 0: | | 18639/? [3:09:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 18640; scene = ['d22fdf936632d63a', '32bd3322556bc88d', 'f29893ce84058edd', '563a138b2acdd919', '503baef644d73490', '6ebc5808aaad5f68', '536379d000ca3575', 'd5141a8a894cc724', 'b35d6c45f0b190a9', '3e80eae957a9fa4e', '3b348c5244a57b53', '93f7d68e72ad5f83', 'fb8928d05f46e7e2', 'acd293363db06c1c', '32595088703a7895', '4f3b786e5b6c7068']; context = [[60, 113], [34, 81], [5, 58], [70, 120], [42, 94], [63, 101], [4, 59], [0, 41], [204, 254], [101, 147], [12, 47], [17, 71], [3, 40], [19, 54], [17, 71], [8, 65]]; loss = 0.008338 low_pass_filter = 0.300
+Epoch 0: | | 18649/? [3:09:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 18650; scene = ['af4c3213f2d7c811', 'a1abef854099368f', '46e0b48bd2e4a857', '2184b89353ea3527', '93029cc15cfc08dd', '326dd7b41ce515ac', '3966776b9405bb07', '97c5d79bc0c119e7', '8f242b96af5a7005', 'c6066f922a2b4fe0', 'd0e565ee49890e94', '56361ac6c313a5f8', '3231aca99e0a8889', 'fcdc78b1c1978874', '303910b1146da10a', '7ab87cae327184c3']; context = [[0, 45], [17, 72], [29, 68], [129, 165], [19, 75], [24, 80], [21, 60], [34, 85], [35, 78], [43, 94], [66, 122], [40, 86], [1, 42], [15, 67], [17, 65], [133, 171]]; loss = 0.009582 low_pass_filter = 0.300
+Epoch 0: | | 18659/? [3:10:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 18660; scene = ['5893ecb5ca418955', '99ad6a316ad09fcd', '0ab2ee95193dca6d', 'b6505a16a99fc05d', '146f7025acd4ae32', '559d1c71c237ed63', '3722e45b5966fc7f', 'dbfa4a019a577df0', '763d75d516920a3f', '2a969cee05781858', '533d7e15bdc275ad', '26e48cac44f92e26', '596bf8d5e28efd1d', '57abed33a7c3652c', '0246dfe96b27b4ce', '66f718b2953961d4']; context = [[1, 37], [54, 109], [63, 118], [84, 128], [49, 97], [100, 137], [2, 38], [222, 263], [28, 79], [63, 120], [16, 50], [76, 116], [121, 175], [26, 78], [79, 127], [38, 81]]; loss = 0.011656 low_pass_filter = 0.300
+Epoch 0: | | 18669/? [3:10:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 18670; scene = ['533cb55bb055a091', '30e7593c9da6a201', 'db7ac6d0820ca218', '3c7bdc5004a3140f', 'f5d3c55f34f74cec', '13b6710151705fe7', '87732cfa339b6202', '6555e9ac69dc14bf', '337dc31602bf2187', '39c33991bfff3e83', '2c4748f991f7d71b', '2cca4a4cbf45c0d0', 'a29077306f6f735b', 'c11e45b1b76d8117', 'a91d501f33a28dc7', '08a75a450ebd71fe']; context = [[28, 67], [194, 238], [15, 62], [121, 171], [121, 160], [16, 70], [10, 49], [0, 40], [34, 71], [79, 117], [2, 48], [58, 98], [36, 92], [6, 45], [3, 51], [38, 86]]; loss = 0.010935 low_pass_filter = 0.300
+Epoch 0: | | 18679/? [3:10:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 18680; scene = ['b2b54a7a6fe8ec22', 'a16d169ffb5bbf5f', '122403c4c6d5ba14', '988e8a280bf6a10e', 'cd61a765852c64c7', '9fea8e828b80af94', '4c5a010abf0bd853', '3905d70e14fda600', 'c4dd0b797b092d01', '8b1412223dba89db', '0919ccc8b33d5b77', '0d1fb256418933db', 'f2a19131a3c32a3f', '4045105d45800f31', '64fb5fa896883491', 'c411d27c23509ccb']; context = [[95, 145], [1, 43], [48, 84], [32, 79], [1, 42], [3, 41], [33, 68], [39, 87], [1, 35], [13, 59], [13, 54], [7, 46], [23, 70], [100, 154], [211, 251], [183, 231]]; loss = 0.008145 low_pass_filter = 0.300
+Epoch 0: | | 18689/? [3:10:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 18690; scene = ['07278d9d2d1e4e6f', '7333fdac494062ee', '556b51f205dbeb4d', 'fa0bb765def0d6a4', 'd930506037303408', 'faed478a912295c6', '480b1c7377b6afc7', '1bddde4479ab73a4', '02330ef21f8c63c3', 'e12d5da93d04e783', '6f243f8b830ae9e0', '6aeccf0208405dbb', '998a4ed8ac2c2d2e', '73571aa48e313ef4', 'd04cae6241ffe366', 'edebf34f112ff3cd']; context = [[167, 216], [197, 240], [31, 78], [42, 96], [185, 233], [2, 37], [24, 58], [2, 37], [0, 36], [8, 44], [34, 82], [166, 218], [94, 135], [11, 59], [0, 40], [4, 38]]; loss = 0.010951 low_pass_filter = 0.300
+Epoch 0: | | 18699/? [3:10:27<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 18700; scene = ['d5933e65e109bd10', '3c574f60fb9adfc7', '11e3c17da5109ffa', 'b5563df07a94318a', '816849c78197db5c', '790b6b3eb50cfbbb', '6c53ade4ba338955', '170e14dfe6029879', 'e78a9b4f74b7295c', '71a822c7743af7a7', '285889f46472d93b', '27707265ec825ba7', '892d9fadbaba9e08', '7e8c9830537de3fb', '32b8efd8ec5394cc', '59ae4ac63c0a11df']; context = [[65, 112], [48, 88], [10, 58], [86, 139], [39, 87], [9, 50], [34, 89], [78, 123], [0, 37], [155, 198], [156, 209], [44, 79], [77, 124], [52, 101], [39, 80], [8, 62]]; loss = 0.010734 low_pass_filter = 0.300
+Epoch 0: | | 18709/? [3:10:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 18710; scene = ['f2814d17062330d1', 'ab0812b2cc5e1172', 'bbc09418541d0ccb', 'b558921c63e1d156', 'da458b177cc5b2a0', '9aacdb837e01170f', 'c328420e636ab533', 'ddc63ec58c1b4023', '245fe1bbfb48afb4', '93bb1804c5dd9ac1', '912a0d7b5b080610', 'c97e8fc87ec7a723', '4de563b16b260d04', '5cd58761e82c1935', '6a5b0451e24d2289', '74085cc8a41ed0fa']; context = [[17, 69], [61, 116], [89, 132], [39, 96], [0, 51], [160, 205], [7, 52], [69, 111], [10, 60], [73, 121], [196, 233], [156, 192], [51, 103], [153, 188], [3, 40], [44, 80]]; loss = 0.010616 low_pass_filter = 0.300
+Epoch 0: | | 18719/? [3:10:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 18720; scene = ['b7c84c58e489931b', 'cb75c5597898298f', '1c9daf62dfa3d5d1', '9a62cfd89a0167d2', '9c354eaeb1030715', 'c9414cea2b26c0d4', 'd9f9a63996457e23', '97f589998f7a56ce', '263c6f3caec45900', '1155d2e97e08de55', '331112aba367bf0d', 'e2b6581f1a1a2fcb', 'a43b3a139f3046f6', '54d7ae4d256f9bb3', 'a9a97381f3c0d9a1', '4ef1dc6966082c8b']; context = [[4, 43], [5, 50], [37, 90], [10, 49], [0, 49], [63, 97], [155, 192], [38, 90], [12, 67], [34, 87], [15, 63], [77, 112], [88, 134], [30, 85], [47, 101], [9, 65]]; loss = 0.012591 low_pass_filter = 0.300
+Epoch 0: | | 18729/? [3:10:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 18730; scene = ['4b15db7b359a0492', 'a1d8379126418c67', '509ba1d49682702b', 'ebb2ee0fdf9adb4f', '629c6f1eb4c7af9a', '4ed0cf754fc4454b', 'a6ec4571131be6da', '89f434159557854d', '478531030bb5fe18', '4c9b371e4c24c2f3', 'e528d17adef1f1bc', '223e2c052f914311', '4bb48481c6ccd349', 'dd218ccc3cf0dab6', '9def8f9d20be5ecc', '30d52bc66d89221d']; context = [[5, 49], [0, 44], [18, 66], [6, 57], [30, 74], [31, 78], [90, 129], [37, 87], [3, 39], [39, 73], [21, 60], [16, 61], [153, 198], [2, 48], [152, 193], [24, 58]]; loss = 0.009488 low_pass_filter = 0.300
+Epoch 0: | | 18739/? [3:10:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 18740; scene = ['9b23277971f37b17', '805bf33fcc837bbe', 'e094ca6cc9b87c2f', '9ef218fc0b3aec1d', 'b19df5f2fd690927', 'f56d4aa7031f63d4', '2666f4d45ee85413', '65704a3be6ef97b0', 'c150a69d763e0fd2', 'bae0c4a08568d412', '35cb6d1706d23123', '9e6b1fc2cb9e258e', '4619634afa74b44a', '55f83ad68913a83f', 'b266ab1fc79a6d4c', 'a9adef412237b777']; context = [[8, 52], [40, 78], [20, 59], [1, 46], [61, 109], [179, 232], [6, 52], [91, 138], [41, 88], [3, 57], [34, 68], [21, 76], [36, 70], [28, 64], [70, 122], [102, 143]]; loss = 0.008543 low_pass_filter = 0.300
+Epoch 0: | | 18749/? [3:10:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 18750; scene = ['9bd2946da7cce42f', '664ad76c825a89a4', '6800182ce64325f0', '519e791a79112caa', 'c7c3770350b9d958', 'b1c505350a76d200', '0f1770edc4686804', '661c9d87c961a0e3', 'a63d62889d484710', '991c5dfac79eb3d0', '40a0bf3a97cfba26', '857a4375e61eae2d', 'a4c9b658859a2f87', '567dd54bdd18b242', 'ba6042a79f3c0863', '474cebeebf252579']; context = [[41, 91], [1, 40], [65, 110], [14, 53], [76, 122], [10, 50], [1, 47], [5, 61], [28, 71], [17, 54], [22, 73], [19, 66], [34, 72], [20, 55], [74, 123], [101, 157]]; loss = 0.007941 low_pass_filter = 0.300
+Epoch 0: | | 18759/? [3:11:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 18760; scene = ['cb171c3ee0bb4bc7', '6f8d38fe084f7ad5', '70d878da47f984e4', 'f7d03afe37f724d3', '632fdd68fcdced28', '23e164d4f8460f5b', '2636e6766e692274', '56d65d47fd196d68', '4700b4a628c6131b', '8db206b0faa1b032', '4fd26cdcd92cc984', '3b4f5b58eaa9e909', 'b7cc7c503b10b878', '93fac9602a1702de', '45677926c908e6e5', '5b511f6b48cdb84c']; context = [[12, 52], [0, 46], [47, 88], [0, 54], [7, 63], [96, 141], [10, 60], [39, 80], [42, 91], [17, 57], [13, 70], [11, 52], [13, 57], [69, 124], [39, 75], [21, 70]]; loss = 0.012455 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 18769/? [3:11:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 18770; scene = ['a842f67726ffd425', '6c1c5a9b3c6db4a3', 'fd0709b44a1b7aef', 'a7920603008060b1', 'e24da62a15bd2109', '48617a7574be5d9f', '93540f32961cf023', '2263c3402becad0f', '5a33541a88681586', '80fb3505008bcb5f', '88567449a04bdf82', 'c8fc5e09878d465d', '67c71d67cd66dbc2', 'e83729b641130714', 'f967408af665942d', 'd4dd072c78e9f960']; context = [[17, 69], [19, 61], [43, 88], [24, 67], [13, 62], [3, 52], [2, 53], [13, 69], [58, 110], [15, 64], [113, 154], [122, 169], [39, 84], [22, 57], [28, 75], [220, 272]]; loss = 0.009248 low_pass_filter = 0.300
+Epoch 0: | | 18779/? [3:11:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 18780; scene = ['911098f20e602003', '98585b958fdbf74a', '6d4b0a0b9d2edc40', '4ca2857fe858b81f', 'a6cfed3142195b52', '3c96b594dee5a035', 'b90177a3e1663c39', 'be52e70932f6dcdc', '1132a0c28fe8748c', '3c8f85253323337e', '41f0974fd32ee0f6', '272cc6bef39a7a8b', '4358da4c0ee3c011', '17a44329e92629ae', '65c849d84d894291', '34c07d79a9633748']; context = [[21, 62], [1, 53], [69, 122], [18, 57], [64, 107], [86, 143], [22, 70], [61, 97], [210, 251], [83, 125], [30, 78], [38, 92], [0, 49], [53, 91], [14, 70], [9, 57]]; loss = 0.010284 low_pass_filter = 0.300
+Epoch 0: | | 18789/? [3:11:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 18790; scene = ['b5af5097b8dcc2ad', '18f8fd3136058ed7', '70e481732168c917', '869ab3af4fd90d3f', '1c23d32dd0f64dad', 'fa56d1dc39d8ea78', '6f948a4959c98bed', '660e0b0fa857b7e8', '64400d6b30972461', '1f9ce370806c2704', '6a8096005ddc4f82', 'd5d5a1e1db7e243e', '864f419062ce6d13', 'e253357e3dc7986f', '30ff59fc98384f54', '985af15298bdcea5']; context = [[36, 86], [15, 72], [0, 45], [10, 62], [85, 135], [20, 72], [204, 246], [29, 77], [12, 61], [13, 67], [77, 118], [56, 104], [53, 107], [21, 66], [32, 81], [36, 86]]; loss = 0.010210 low_pass_filter = 0.300
+Epoch 0: | | 18799/? [3:11:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 18800; scene = ['3cc70ffcb154073d', '1ea909d3ecc032c8', 'f1b69c5347f6ef52', '7fc86aebaeb488c0', '9be866e749e9cff2', '514fd65dbd2950ad', 'ded16f5146ce93ad', '4c2acc1d87aaea1d', '03fc0d09c4c9abd0', '6786a3256e6e2f5b', '65ccf58cb9e06520', 'fd5a7805e36ac44b', '5e1cbaf7f2008ed2', '3b08a677fef2dcd1', 'ef734d49bb73abaf', '6a0bc4161911b7b6']; context = [[36, 78], [79, 116], [6, 55], [24, 64], [5, 46], [73, 111], [43, 95], [51, 91], [197, 245], [19, 62], [2, 55], [80, 132], [28, 83], [3, 50], [129, 167], [33, 69]]; loss = 0.011470 low_pass_filter = 0.300
+Epoch 0: | | 18809/? [3:11:42<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 18810; scene = ['809ca67ce740d82e', '454721c5dcd24e79', '789a1b00d73a2072', '8c3f358e0091f076', '7f96d028faa56c8e', '952266003cf8ccc1', '77c1ef193baf0a80', '98dff81cfdcbd690', '19bbea9cd53e2900', '7d66e3d9672f8327', 'b3bdd93444967e32', 'b94d375ab2d2cc1d', '9aa8bb12a358a321', 'f8de6ddeeee4a948', '9097cefe0e10cd03', 'af5e13b8a6fed863']; context = [[8, 44], [40, 82], [11, 47], [37, 73], [0, 39], [50, 106], [15, 51], [2, 44], [104, 157], [56, 111], [3, 56], [4, 41], [44, 97], [64, 110], [9, 63], [0, 57]]; loss = 0.013561 low_pass_filter = 0.300
+Epoch 0: | | 18819/? [3:11:48<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 18820; scene = ['c35e6d31102cafa7', 'ad57c5b97bb58429', '98c1218a2309b4a1', '15b72df6330ff79c', '19fd79880f502246', '091e13eaeab8d3ee', 'a1be7f06fef9077a', '397e1fcec212c272', 'f6db03fcdbf3253b', '029fba664425823a', '1bd25e4dbf83be6e', '8c4f32d2e7f0a04f', '3a6d9b82bc1e1811', '48ce4a20c406c0fd', '249ee6d00a7493be', 'b29d9ccc5a360755']; context = [[64, 102], [2, 55], [21, 66], [24, 64], [8, 49], [37, 88], [154, 196], [16, 69], [28, 77], [2, 37], [33, 90], [114, 158], [16, 59], [100, 152], [3, 60], [148, 185]]; loss = 0.014140 low_pass_filter = 0.300
+Epoch 0: | | 18829/? [3:11:54<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 18830; scene = ['3afec4710e95e6db', '366116fb5e37ca12', '9ae904981efc4ab1', '05578300751eb070', '482c01e057fdec27', '41f5163f4425f3f0', 'af38698d94964599', '0c1a54f8512a22a9', '171c2d3ae7b5b880', '99d123b0284ba78b', 'cdcfaffb36bd68cd', 'ddb24003ba549794', 'f1784bd29f4251c2', '8c96adc08ff4d80c', '3eecbfde33a5d536', '21270b591ffb942b']; context = [[187, 234], [50, 88], [21, 77], [8, 65], [61, 109], [98, 138], [1, 46], [43, 84], [17, 72], [11, 51], [103, 139], [89, 139], [57, 99], [76, 127], [0, 52], [35, 79]]; loss = 0.010231 low_pass_filter = 0.300
+Epoch 0: | | 18839/? [3:12:00<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 18840; scene = ['e456fc623facc848', 'f83ed991c4d270c8', '54ae80e682751efa', '5b7c70d9fd79a963', '0f710827f72bbd64', '4e9a57b7b6251f7d', '88138218ce0d9815', 'e726107dc0960b84', '54b364a3d8983e86', 'e5fcf91861976c52', '9b3cfe046be3e8ee', '93e073dacd2fb8fa', '8be7e7072ded8bf1', '7b2b4c31dc0a98dd', '6fd2936069711506', '5124f62ded6ed532']; context = [[81, 125], [14, 53], [1, 36], [62, 105], [55, 105], [3, 48], [7, 52], [59, 104], [123, 172], [81, 133], [28, 67], [97, 135], [49, 101], [52, 94], [190, 230], [88, 145]]; loss = 0.014497 low_pass_filter = 0.300
+Epoch 0: | | 18849/? [3:12:06<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 18850; scene = ['90cd35aca00fdde3', 'aa2175c8bffe8ad9', '32fa2f64dfaacf21', '4ee78f549f4bddfe', 'a098e1d5715a4f8e', '7fd40cef6afc5ad7', 'd1d992e581136ac6', 'a3dee13fa0216d57', '5c9b898102b16eae', '3d7a200dab472990', 'aac146b12e5f2ebf', '3b8cbc82edc7da25', '784a09499e4f5d80', 'eee22c9d84b79d89', '4c912bfd124f027a', 'af1aad7fedbf1fc7']; context = [[211, 253], [203, 240], [142, 183], [163, 216], [0, 42], [8, 51], [7, 58], [55, 102], [146, 200], [17, 70], [119, 170], [2, 53], [10, 50], [24, 73], [4, 47], [45, 97]]; loss = 0.010604 low_pass_filter = 0.300
+Epoch 0: | | 18859/? [3:12:12<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 18860; scene = ['e0dedfef240d5a0a', '1147193d876fe2f1', '545615147f827b53', 'be54fc40be5d60ac', '9b71f9e957de57b0', 'b2437a7fc427a9db', 'ff98884b734b36c6', '586234d6b5d89587', 'aed888dc2662bd97', '56138a61f7bdc811', 'f3a8e09cfca7f302', '177e6cbad1a5d389', '8df6d17e6dd57222', '5ba98d5108e42ace', '10305cbdad5cb899', '3d4fa53a2c7691f7']; context = [[120, 158], [13, 48], [70, 123], [132, 188], [5, 59], [83, 129], [142, 190], [85, 131], [192, 242], [5, 61], [32, 67], [27, 74], [54, 96], [75, 129], [96, 145], [71, 128]]; loss = 0.010143 low_pass_filter = 0.300
+Epoch 0: | | 18869/? [3:12:18<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 18870; scene = ['ad406792c81d375c', 'bfeeb22f7c5b88f8', 'f338341d83d9f67d', 'e44fa4f35c34ade1', '247e93105d7af392', '0f1e5508860711a6', 'd2eb4e2748a5dd2f', '28a665f16aeec79c', '96daab69b9b19e41', '46a1a98e6bf8d839', '5379f7a06f13000a', '58c38e072fa97b1f', '3cfe932b6c657e6e', 'b990cf050c5bbac0', 'cab39c57f4fb83d1', '92fc9155096037b5']; context = [[2, 53], [0, 35], [30, 85], [87, 133], [216, 255], [9, 51], [123, 159], [11, 66], [1, 57], [8, 44], [3, 56], [56, 99], [23, 62], [54, 91], [56, 108], [4, 60]]; loss = 0.011619 low_pass_filter = 0.300
+Epoch 0: | | 18879/? [3:12:24<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 18880; scene = ['786d7805ee6f3ad4', 'a8013f840680bad5', '9b07d9e9bfde2127', 'c79fe61f55945277', '994090734564320b', 'a2272a447c64f48b', 'efb0fa43f36306e9', 'a76ec83c9984d4cd', '3fc64e6105d7a224', '35c88d10a4ef8a95', '25aff15f6c54558b', '11c4a7d67bc2629e', 'bad5f833677cd32f', '6d9c946f68b0f8a8', '70fa77c74fad4d72', '276fd3e9d7168662']; context = [[143, 200], [44, 96], [1, 52], [17, 61], [76, 128], [207, 248], [80, 136], [32, 76], [117, 174], [63, 100], [125, 166], [1, 41], [11, 63], [86, 130], [25, 61], [30, 78]]; loss = 0.012530 low_pass_filter = 0.300
+Epoch 0: | | 18889/? [3:12:30<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 18890; scene = ['c6dd634f18d3ad0c', '5ab0e29d67fadaf2', '0ab1a55e644c522c', '32975f7fa4ec8e80', '51cea299a0fa2ead', '7a244e6ffc814898', '0ec72b6e6953a36f', '6abe78a35109d3c1', '3e00e3d2ffba3e7d', '95702bb71674167d', 'a09f861cea263471', '2ea0130696f289c2', '78ac0510f29dcc4f', '887a074e81e590c3', '063cf0cd1ebf06d2', '3d035b165731fa4b']; context = [[114, 163], [60, 95], [13, 50], [56, 101], [89, 145], [83, 130], [44, 99], [28, 84], [179, 221], [77, 118], [67, 122], [27, 72], [1, 41], [68, 112], [72, 109], [70, 118]]; loss = 0.008885 low_pass_filter = 0.300
+Epoch 0: | | 18899/? [3:12:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 18900; scene = ['c6f1488495990249', '886a2cd1ef72b491', '1d93a3fb8b07028b', '6ac77903c85a136d', 'd0342267434bde9b', '5dbe8c5a7cd369f3', 'e6406106735f8b34', '12108a3fd93471fb', '6080fc9345448eec', '5a1ccf5da976f592', 'fbc4bbe6225528ec', '0856eb1e161c6cb8', '39ee4bf580cf2bbe', '61327b567aa8d6f6', '564120457bfd06e1', '0224ae3b7123367e']; context = [[94, 135], [207, 255], [32, 71], [9, 62], [29, 74], [59, 100], [6, 47], [13, 52], [32, 71], [3, 52], [108, 143], [1, 49], [99, 140], [65, 112], [17, 58], [183, 220]]; loss = 0.008579 low_pass_filter = 0.300
+Epoch 0: | | 18909/? [3:12:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 18910; scene = ['7da62d40202eb4d7', 'c2c69f132eaf226b', 'c8af89fa161452c0', '39953b7377e8fbc6', '30a815b0b47e8a6d', '6948d440d6aae7d0', '7d08a5d6a3217be2', 'cf83070a1af0286e', '8f937b1a518a93b5', 'b6b44c750caa7b99', '78bd68b7e842129c', '9506a622c097b935', '8bb420e8096b7f62', 'ed4eef359d0fbd35', '6f4556580ebf03b3', '21f64bf7602a82bc']; context = [[2, 39], [29, 74], [13, 50], [30, 85], [190, 246], [113, 161], [62, 103], [48, 83], [40, 77], [37, 89], [20, 66], [10, 65], [61, 101], [56, 105], [11, 61], [190, 226]]; loss = 0.009741 low_pass_filter = 0.300
+Epoch 0: | | 18919/? [3:12:47<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 18920; scene = ['a31787ba3f42448b', '529d61d09bec94a1', '2b30bf3c9c26f7f3', 'c778cdae47e2ff13', 'd923a931e8582c3f', 'b3d43f18a8fdc262', '1c545caf1931d773', 'a7fcd0af8ef3781d', '1ff0ff0f71d8c35f', '070a222242536f42', 'b7e45d8a8f953221', '0586a78aa1664230', 'e7e959f34eb098fe', '2ebd96001679704e', '6ca4270fc9377c9a', 'f760b9c83e882756']; context = [[1, 40], [71, 114], [220, 277], [0, 39], [6, 56], [46, 85], [29, 67], [27, 74], [67, 107], [33, 73], [17, 58], [13, 56], [10, 52], [36, 90], [10, 66], [9, 49]]; loss = 0.010383 low_pass_filter = 0.300
+Epoch 0: | | 18929/? [3:12:53<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 18930; scene = ['5689c9983b642392', 'fbd2c20f5033d7d8', '7a40c2ec4e36880e', '274279bd6f815607', '48c9bb29482ddf76', '4ca457ca633e17e3', 'aeb0a9a7ae4b838b', '11a0178831a2ae2c', 'd289541809be1924', 'face86bf6353a397', 'f61b6261a949358f', 'a60e4127f167ac93', '593dfdee6abc704c', '95522bc4e658c4bb', '4c6b267e4c124540', '7b4630c7ece2e8ab']; context = [[141, 194], [3, 50], [38, 75], [16, 69], [12, 69], [23, 64], [8, 53], [37, 76], [31, 80], [65, 108], [87, 127], [35, 91], [9, 49], [26, 82], [73, 109], [103, 148]]; loss = 0.008103 low_pass_filter = 0.300
+Epoch 0: | | 18939/? [3:12:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 18940; scene = ['20be925d6218469c', '354890507ba3db0c', '862803842080a2a2', '96a219295fb4e5ae', 'f31ae2c92baae819', '540e129da5eb9bee', '3509034cc125d7ef', '5f45009e253dee25', '18266599ae0f9451', '5c897627e7315321', '86910ce80efddc7c', '84387f9cdb2f58e9', 'ea52d60b5bdd8bdd', 'b0e2bc7d90dacd8a', 'a5daf8a4e91768c9', '7d581977d99bd0c5']; context = [[10, 61], [48, 86], [63, 108], [192, 231], [3, 56], [131, 168], [0, 43], [14, 67], [56, 94], [178, 214], [4, 45], [8, 54], [10, 67], [6, 57], [7, 44], [60, 95]]; loss = 0.009562 low_pass_filter = 0.300
+Epoch 0: | | 18949/? [3:13:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 18950; scene = ['9fa01b48b2ea9d28', 'ddfeaa4d724893eb', 'e21a16028be3075e', '982bf8fc32aaa3f0', 'b7de31891b5d6984', 'ffd3128005af32a5', '2a90bb463e0dda39', '3578ecf719b3990f', 'a66d7d1c96e2966b', 'd4fda198b00995a5', 'c89d788ac6c7e955', '468a9aad34ae4f6b', '3533e8353a4037a6', '277d14a59f3928dd', '1f5704bf23ed3e6b', '893ee7f0458c8d38']; context = [[34, 90], [11, 48], [106, 153], [89, 124], [16, 73], [137, 185], [1, 42], [69, 104], [43, 88], [13, 57], [43, 96], [12, 62], [15, 70], [31, 77], [76, 111], [38, 74]]; loss = 0.011223 low_pass_filter = 0.300
+Epoch 0: | | 18959/? [3:13:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 18960; scene = ['cfda25f825c0e037', '9d28e040fb4102b7', '0abc1a3b9c31f452', 'c57b526f18f6105e', '7ecf5dab221fb781', '02b97fbf802a5e63', 'eb0e53623cc88755', '65aa0f2e84478362', '64c1a413b76574a7', '5a261eb9162232e4', '8f05210509599df8', 'ece3d30bd2dc2a4a', '6a12762f4fa26a40', 'b4da38076c68ce1e', 'adb55683c23edf40', '79f526b49d544ba7']; context = [[49, 101], [54, 102], [24, 65], [50, 86], [16, 60], [7, 43], [85, 124], [24, 66], [18, 69], [32, 69], [44, 80], [5, 59], [5, 62], [4, 51], [10, 60], [1, 51]]; loss = 0.010675 low_pass_filter = 0.300
+Epoch 0: | | 18969/? [3:13:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 18970; scene = ['9be2acc7d6ac0fa6', 'ac8de8815ae8902f', 'dced37867a7d4013', '28bfe85ca61fb024', 'c7c758e7c2bae0e8', '89eecc00bad5387b', '95c9649aee2bd604', '1972ae458fff96cd', 'aa34e1527f657bc3', '9e571866a0cef259', 'e191345e92779373', 'e35670a6acfc1647', 'f985a4f8569174d5', '37a7753e88bcac83', '20b3c25971c8e721', 'e36270f862bf878c']; context = [[26, 71], [4, 44], [58, 93], [116, 156], [16, 61], [18, 54], [213, 259], [11, 58], [161, 209], [105, 149], [24, 63], [99, 136], [166, 215], [53, 99], [29, 67], [10, 66]]; loss = 0.009716 low_pass_filter = 0.300
+Epoch 0: | | 18979/? [3:13:24<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 18980; scene = ['d61c0c4ab6c707b1', '1e7a40e218244c8e', '704056e57542887d', '1a0bd5daf36cc951', '79dda916bba4e040', '9c719fa62656280b', '1f2241043228c846', 'ec084b47780b0054', '7097ecbb242ddc3d', '4b9488446f93e268', 'd635fdb4ad2d18bb', '4fdd05cb93ce0120', '5e6ba1ec43745076', '701699799d981edd', 'cfbe97a277ff392d', 'd4d62e24faa1a895']; context = [[14, 71], [77, 122], [12, 54], [159, 215], [33, 69], [26, 73], [69, 104], [169, 223], [21, 73], [1, 53], [117, 152], [14, 61], [86, 127], [18, 53], [6, 49], [4, 51]]; loss = 0.008639 low_pass_filter = 0.300
+Epoch 0: | | 18989/? [3:13:30<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 18990; scene = ['27ecc84dfeef35d6', '999d1dc292628db0', '93f0ba6797c67f20', '92ae0064b7c18b99', '9c002649b133ed7d', '2d5886bd890632c6', 'f249fdd072d2d35d', '4fb63d42b75f83ec', '9168f179a84dcc90', '32b6934068c002f8', '467c7103dccd9914', 'ceba0c9064ef2075', '9122be71240bb162', '05e806980d1b0906', '9e1d3181f2809fa2', 'c6ccb47f4d1886f3']; context = [[14, 64], [71, 115], [12, 54], [36, 71], [29, 68], [204, 241], [9, 47], [20, 67], [14, 50], [2, 52], [1, 43], [49, 103], [22, 78], [63, 106], [236, 274], [25, 68]]; loss = 0.009940 low_pass_filter = 0.300
+Epoch 0: | | 18999/? [3:13:36<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 19000; scene = ['d0cea94d114a9d7b', 'f918eea9b5ac04b9', 'be79c579399cd281', 'dd3c91a3d91bb3ef', '09c19f8ce4da6eae', 'fcffe98256ef69b7', 'c779f99d433a1069', '7b3e6a84de0b0f68', 'afd3503cc2365c9b', 'b982f2d15ad06d90', '98d306f47fc11c01', 'adaa73f8ce40388c', '1eae29fe1ddbcaef', '1fc5afaea5ab19a0', '2da48bd4dffcdcdf', '8cf7729ae1ce0bed']; context = [[8, 62], [25, 77], [103, 142], [2, 44], [25, 67], [61, 97], [64, 110], [180, 234], [29, 74], [46, 103], [1, 46], [109, 162], [0, 57], [19, 65], [0, 45], [167, 221]]; loss = 0.010956 low_pass_filter = 0.300
+Epoch 0: | | 19000/? [3:13:36<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0validation step 19000; scene = ['1072aae07584e091']; context = [[15, 67]]
+Epoch 0: | | 19009/? [3:13:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 19010; scene = ['0dafe350e2f5aa02', '676a62bb7947d66c', '5f97e7f0daeeacbf', '466a137cf7c24cee', '62fe323977f07a05', '305ee26dd52e6c47', '6b9e2b2554495537', 'd963397c195c1af9', '7514f3b17589785b', 'b88bb5a497a3359c', '4558a4e86660273a', '7dfe94c7f896530a', '58cadab07998fe5f', '5b8976bf2748f77c', '3b46f7051f8f7435', '7fadd0714fcfd888']; context = [[34, 78], [28, 82], [78, 114], [62, 106], [41, 86], [87, 122], [12, 49], [4, 59], [26, 65], [45, 84], [10, 45], [93, 131], [52, 99], [110, 164], [30, 67], [3, 40]]; loss = 0.010150 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 19019/? [3:13:49<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 19020; scene = ['4585f80cef08baaa', 'e713ee11cda7ecd7', '8811a6753f66c635', 'f30872b887eb8b3e', '06305d12bda0f8d1', 'cbcf75cdcf158a97', 'e06779c191688093', '2dae1466bcd53a60', '6f874533f773782f', '2920d91267dab781', '405d26cdefbc4e7d', 'e1bdea7706379ebb', '74a2add23fb6138e', 'e2b1f82a439706b8', 'b061784000b19e43', '74ba959eb3b33654']; context = [[34, 82], [20, 77], [56, 111], [99, 143], [34, 77], [26, 61], [28, 72], [5, 44], [95, 134], [0, 35], [33, 71], [36, 86], [54, 107], [6, 58], [6, 54], [31, 66]]; loss = 0.008826 low_pass_filter = 0.300
+Epoch 0: | | 19029/? [3:13:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 19030; scene = ['331108af4b30ad2e', '29f2859edd3bc59d', '75d5c9bbea9d14d4', '6e77ffab3e66c017', 'fac649a98e1b40d0', 'a507532d84d52eac', '5f9a698522ab7afd', '146061cae31b2eed', 'e8a0e1bd17e1c957', '56de6aba69f7562c', '3dc6e71970508ac5', 'c7e638374e830c4c', '472b7f097eb6eb21', '833afa77a3efb644', 'f0a4ffe063ef1a4f', '4c311eaa8a251eac']; context = [[17, 60], [14, 55], [60, 105], [8, 65], [23, 62], [98, 145], [30, 77], [50, 96], [121, 175], [10, 58], [65, 102], [129, 184], [99, 137], [70, 107], [65, 100], [35, 88]]; loss = 0.009573 low_pass_filter = 0.300
+Epoch 0: | | 19039/? [3:14:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 19040; scene = ['880e7b42b8a47cbc', '36483af0a0664950', '9f83fb08938eef2a', 'db51ecccc049765f', 'a952e2399a3b481d', '57619c7c9351d848', 'f3072e703636a2c7', '43a0ba2388348766', '1e1816280d28a87b', '9b1512f328b4450f', 'd2b2042b2e6b74ed', '709b3bbfd6459936', '47a64eff7f12167d', '1f7447faa4714980', '8e5527062b4f2c23', '9525ae89d72ab742']; context = [[70, 108], [59, 103], [14, 56], [27, 76], [166, 222], [64, 114], [0, 46], [46, 82], [84, 140], [26, 63], [10, 46], [27, 81], [12, 50], [97, 138], [45, 96], [67, 122]]; loss = 0.008060 low_pass_filter = 0.300
+Epoch 0: | | 19049/? [3:14:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 19050; scene = ['e9ef9a85f0ef0d70', 'c13a170c8c7c34c2', 'dca346569daffa17', 'c6aadaa4cd42d534', 'ec87ff261c986c1f', '868d89d13e6d1dbe', 'c0d59c9ccf3a912e', '993a834091541fed', 'b9bba926564d94fb', 'edc3399caeb71eb6', '3fb6c568d960f072', '38d2ac7c43dd0eb8', 'e7aa969073578104', '564ea16244f45dd8', '25767990c1e5df39', '23683c24eb019816']; context = [[7, 62], [15, 52], [14, 59], [88, 143], [2, 41], [78, 118], [114, 164], [118, 167], [28, 80], [3, 60], [19, 60], [55, 101], [109, 149], [33, 70], [41, 98], [8, 53]]; loss = 0.008554 low_pass_filter = 0.300
+Epoch 0: | | 19059/? [3:14:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 19060; scene = ['95346eef8181be12', 'c59210f96ab4a776', '1bbd97bb351008ec', '89dde5e967d0d27b', '9ebe82bc0d08b098', '314fb25b28937f19', '29b6779871858fef', 'f5ddadd8a6012e8b', 'e3ecab22ff01b0a2', '221bdcfb2013b215', 'eba5a5aafe96bbdd', 'ed6e2f71b738e102', '9cd273b7847a34b3', '1e0843e68da6ff84', '241acb3f10162b57', '06b8262fdfbe04fe']; context = [[5, 43], [19, 54], [65, 111], [66, 101], [62, 109], [23, 68], [180, 228], [35, 80], [32, 71], [3, 51], [89, 145], [39, 81], [22, 69], [8, 62], [149, 184], [230, 271]]; loss = 0.008509 low_pass_filter = 0.300
+Epoch 0: | | 19069/? [3:14:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 19070; scene = ['0313a1cc48ea7a60', 'e5d4a92df47d7883', '2f3db5900d69a891', '5c214c6cba1c63f2', '6dd9e3b237e3ebf9', 'c21ac4985720cb50', '1cdde81ba9489e2b', '7280451b8d7c7f9e', '6259f31e093585f5', 'dbff8fae78b2b07f', '66ab33a1b3e31e7c', 'ef32d6c5ae18f16e', '618536ae5f39352b', '454c2d4b8699258d', '9c9e982632b63f97', 'e7d38a7e5cb0a8c4']; context = [[31, 83], [1, 52], [18, 57], [99, 148], [10, 47], [13, 58], [29, 74], [12, 61], [52, 88], [77, 126], [30, 70], [45, 81], [70, 122], [0, 39], [8, 43], [86, 136]]; loss = 0.008553 low_pass_filter = 0.300
+Epoch 0: | | 19079/? [3:14:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 19080; scene = ['d99bc927fc414c61', 'b96d03ef450db8c6', '850fe18254e517b4', '4e80959d582914fa', 'ab78b3eb64029b73', '50641afd11ba76f8', '2578cd7cec8068b4', 'b6d6a1ec65fa5263', '2bc8b64aafc5870c', 'e3b385876279e0fc', 'c9266f8b6968ca51', 'a1d1c182d3b2ee90', '0a2b30f8255c2a93', '11f7a2991ed95c71', '7f36a3984d359b29', '25940df940e06e06']; context = [[164, 204], [42, 84], [7, 42], [23, 62], [27, 80], [117, 166], [90, 133], [9, 57], [212, 268], [34, 72], [5, 60], [7, 50], [2, 40], [75, 127], [145, 180], [78, 134]]; loss = 0.012923 low_pass_filter = 0.300
+Epoch 0: | | 19089/? [3:14:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 19090; scene = ['6019fda73444fae2', 'baf51e7f308c7790', '8b9d2f4e94b006f6', 'b63c9d7a40bb95fe', 'f22b2f6529982e5d', '52f9fa6da69bfaf5', '3689fe268c8f8400', '7ce258bba41c9244', '8230329a8e437458', '6f64345a52ccd198', '6aa70be22c85c82b', 'a197313c851249e5', '6bf7d357e8f89ed3', '7a07fad554c69e5c', 'dd5ec950a01c42a0', '772b1eb7611c51e6']; context = [[60, 106], [15, 66], [58, 116], [24, 61], [127, 162], [30, 81], [5, 58], [90, 139], [117, 171], [12, 53], [2, 37], [29, 82], [1, 54], [47, 93], [8, 46], [45, 81]]; loss = 0.009081 low_pass_filter = 0.300
+Epoch 0: | | 19099/? [3:14:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 19100; scene = ['4ced0f86d3543eba', '3e7d9e9d11520831', 'f0003bd99c35b01a', '899701c671a6cde5', '198c8bb58640bdd8', '43ac09553d98fb3d', '9b75e834893b5e07', '57de58c91eb80238', '7bef257f82af89c3', 'd706c72b828cbc16', 'a1206ca66f182d10', '8077f3ee01fd9872', '7f1a2e333be7f697', '5ba3f48e64beb777', 'bc01380450049abd', 'aaec20a7befd0f04']; context = [[38, 84], [222, 257], [102, 143], [0, 35], [7, 64], [29, 78], [3, 44], [74, 111], [10, 53], [0, 35], [0, 41], [41, 82], [12, 68], [15, 60], [23, 72], [214, 257]]; loss = 0.011703 low_pass_filter = 0.300
+Epoch 0: | | 19109/? [3:14:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 19110; scene = ['8d04b4ad182fd80b', '5a5fbc148348f33c', '07ff09ea4dfd63ce', 'd09b82c6b4496a66', 'a530c8b4fa89b84e', 'd6bd81b4a34ac00d', '356ba7e96c3d9426', 'c46f3f1ddfd8533a', '5692ffde04b99f08', '572f15c53545baaf', '8b74f0ab08101b27', '6feb82e28fe110f9', 'debd6aa3bae1d248', 'ef5c5a590e9d175d', '9d91b5a77ade5f52', 'e36928d0d1da0647']; context = [[9, 60], [66, 104], [172, 211], [29, 73], [24, 75], [50, 101], [44, 87], [28, 65], [113, 157], [122, 160], [80, 128], [15, 66], [53, 95], [2, 44], [110, 162], [83, 139]]; loss = 0.010179 low_pass_filter = 0.300
+Epoch 0: | | 19119/? [3:14:49<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 19120; scene = ['14a1d83250bf6a20', '75cbbfa22033dbb8', '34cd5d4903ea9a76', 'ba9887bc9330e87b', 'b6533ec6db201f28', '344882d6a7f4863a', 'dd38cf3bee30e7b8', '3912f6aa47883716', '3c51203a37e1310b', '17b66ea136f06ae0', '6c48f5bd433bc366', 'adee1fda5e363a59', '9907f077594b8fe9', '3c124a8f0d2e2988', 'dfe9f6faebfa093d', 'd84de7a276ad1354']; context = [[26, 77], [192, 233], [2, 60], [8, 51], [30, 75], [9, 54], [10, 50], [8, 58], [21, 73], [77, 120], [82, 120], [14, 60], [99, 152], [23, 58], [2, 53], [6, 48]]; loss = 0.009804 low_pass_filter = 0.300
+Epoch 0: | | 19129/? [3:14:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 19130; scene = ['c97b906d62b3b60b', '1201c21d12e6aab3', 'e249721b18da12f6', '2d1ef0e2016d80f0', '03bf529f48bfbbed', '3c0a2c6b785634d5', '77738fa081c7619a', 'b83838c091a3d1fc', 'f24a6c3df94a093a', '6116fc054517d36d', 'f23de15ce9f60bdf', '39897e750454bcd5', 'cb47682b8ddca2c7', '601396464063bf6d', '7d0730b43c16c126', 'c860529fa4f6ef5f']; context = [[0, 56], [0, 45], [13, 48], [14, 52], [7, 60], [69, 118], [5, 52], [27, 71], [18, 54], [24, 81], [120, 160], [41, 88], [134, 188], [56, 94], [147, 187], [1, 52]]; loss = 0.008888 low_pass_filter = 0.300
+Epoch 0: | | 19139/? [3:15:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 19140; scene = ['eb8b522706c90abc', '2a3adab8c56fd0af', 'fbeeb97c2581e94c', '4eb5a756e10b6135', '6505b95fda3a6fd1', 'b991599a27d51aa9', 'c962356f6909f74a', 'ae61cd5eca2cf47b', 'd9461cc556360657', '465b4e7f5596b0aa', '51558f55181adeda', '893f7fc55d9acc03', 'f31f2ae8f0316f19', 'e88847a976dc6442', '09620e93073c72cb', 'e9af8e5a35c54350']; context = [[28, 78], [196, 245], [213, 250], [22, 65], [53, 105], [30, 75], [103, 154], [53, 106], [16, 66], [18, 63], [31, 82], [42, 79], [8, 53], [12, 68], [17, 54], [95, 135]]; loss = 0.009878 low_pass_filter = 0.300
+Epoch 0: | | 19149/? [3:15:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 19150; scene = ['c8c4c58a2e1e8742', 'dee5a241fa290209', '18ef7c53ea187ec3', '35df14b863fc5941', 'e6ebcb405cb22ef5', '75e2f5091125385c', '69e5729f406916bd', '67cc762eeb7f36a0', 'b3f8039ec7fd3e4b', '5536007fc18a0659', '39e85d8e0e948e66', 'f2e38a459be0261f', '1d723573da63bcdc', '73fc75bd5d1e83a9', 'ef80ab038f2341ad', '5e6c8b241ce519bf']; context = [[0, 55], [61, 104], [56, 108], [182, 237], [12, 50], [236, 276], [32, 90], [65, 113], [31, 88], [116, 173], [61, 102], [41, 98], [16, 67], [7, 52], [102, 143], [19, 56]]; loss = 0.011082 low_pass_filter = 0.300
+Epoch 0: | | 19159/? [3:15:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 19160; scene = ['06664d17c613a563', '256bf843493c6450', '551c02958152377c', 'a514bcc8aced0356', '53e9f13ccdca849d', 'f0e3087ed60f8e68', 'f51137376d99b7c0', 'cc44fa522a2027be', 'e26035577b7e94b8', '85d089291fa710c5', '1589d2164305202f', '031ca18c9472f03e', 'cf9fe4aa40e1f285', 'a791ecc75f3cc01b', 'b78e4f69840305e4', 'ea2d0140f0f46e20']; context = [[16, 58], [6, 43], [91, 127], [18, 66], [104, 145], [4, 54], [0, 51], [9, 48], [99, 144], [35, 70], [7, 47], [124, 175], [21, 73], [19, 67], [24, 63], [6, 61]]; loss = 0.010319 low_pass_filter = 0.300
+Epoch 0: | | 19169/? [3:15:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 19170; scene = ['140b10a4f6bb5aa5', 'e25329240a498e6e', '11094b4b71a9ab00', '506753022747f386', 'c506d1287fc0bc4e', '4b1bee2132817957', '8f8db78b02cc1d0d', '56a2ac4100abd798', 'd54159912c53e80b', '4946a0355cebddad', 'c23fe454bdf2aff2', '4157be3703b992c9', 'a8c10c5aa79981b7', '02df65abb7c0bfb0', '6ba2f377a21c9425', '3242954a362c68aa']; context = [[8, 56], [43, 91], [170, 205], [76, 127], [0, 37], [53, 89], [48, 96], [85, 122], [80, 128], [73, 122], [174, 209], [4, 53], [0, 50], [69, 107], [23, 67], [0, 51]]; loss = 0.012145 low_pass_filter = 0.300
+Epoch 0: | | 19179/? [3:15:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 19180; scene = ['8b54ea3284f5c864', '34201d3bc1d0c0f2', 'f1afbf6f673bac06', '9a281760e4332d8a', '8833535b7cf3a3fd', 'd90e1010470c6a9f', '2c1c950314fbbbea', '3f5020e5dc8240bd', '7fc6a4aef5aafaa7', '94c931fd2c558de5', 'c5e355f5e0003838', '42158adb6f145f4f', 'eba2d56e2f7d8c50', '589a63f0ffec1297', 'c201929c01543ff8', '6cfe3c7146df3d9d']; context = [[159, 203], [7, 42], [0, 36], [79, 126], [156, 214], [84, 123], [16, 65], [15, 68], [23, 61], [23, 80], [16, 58], [12, 51], [8, 59], [54, 108], [152, 203], [192, 232]]; loss = 0.013358 low_pass_filter = 0.300
+Epoch 0: | | 19189/? [3:15:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.0train step 19190; scene = ['d378904cf46479f2', '0a2779d52af40db3', 'e8f8d92eea003f0d', 'a3f6346a3db4855c', '5111e9fee46cdb11', '434bd83c81eae45d', '992925358996d7f5', '676397074933e68a', 'af7f5ee416e05f8d', '8728264c6018e495', '5bdceb769e5b3926', '322eaa39daf81f93', '3803b2c8fd539a88', '4007505c2d6ee7ee', '90ae09316f304318', '6a27f031bc3f1193']; context = [[31, 85], [134, 181], [64, 99], [13, 49], [58, 110], [48, 87], [21, 75], [79, 120], [0, 35], [87, 138], [48, 88], [1, 38], [34, 71], [0, 46], [24, 64], [79, 119]]; loss = 0.007676 low_pass_filter = 0.300
+Epoch 0: | | 19199/? [3:15:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 19200; scene = ['07c292c4e24e752f', 'cdad2b86094189ce', '7cfac1c5c75d8cb2', 'fe76916bbbcc9bfd', 'ef294337f32250ff', '91569ae4b2a46efa', 'c6dd29c2849afc3b', '9364344ee7f3c7e0', '6859d00d1fc05309', '15489fef442e5c6f', '2a066c2a9633dc01', '96e4a25757e451fb', 'ad65905845be5ea6', '4be26e4b5bb4ede1', '3a6faefafd42faca', '0a4e5e726c134159']; context = [[59, 114], [51, 105], [14, 59], [11, 64], [80, 122], [2, 59], [3, 54], [49, 87], [10, 47], [51, 92], [59, 113], [100, 154], [10, 68], [100, 157], [19, 65], [9, 64]]; loss = 0.012425 low_pass_filter = 0.300
+Epoch 0: | | 19209/? [3:15:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 19210; scene = ['3f069a1ea73a2921', 'e0e378013f63dd7e', 'e9d56ecc73549f5b', '7e59c9a4c9578664', 'aa9c5c567469ac79', '6ccd077184232246', '2d4c30b09d034a7a', '7ce060e72f1a3284', '2e582a79bc0fbc31', '4c1e9218faafee56', '1c55f7ea6ac78614', '43fb3933f340b325', '20ba9ecd93c4aeef', '16cbcf5ade966b50', '6c89dcff20255b6d', 'c71922522800ec1a']; context = [[12, 65], [98, 133], [162, 200], [59, 107], [38, 88], [167, 221], [6, 62], [3, 58], [34, 77], [26, 76], [95, 138], [27, 66], [59, 115], [123, 178], [3, 51], [182, 235]]; loss = 0.009482 low_pass_filter = 0.300
+Epoch 0: | | 19219/? [3:15:49<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 19220; scene = ['689a2285be81da67', '743fd8885643d3aa', '010b84cc55023da5', '6a35ee0a1f4b0de3', 'd52a9764036894ac', '0f5392e04bb19f8c', 'c2a0b337dfce828a', 'e62ddf130ef1c47d', '0df8d4e3cd5241e6', 'da5de01cf7e41541', '81f14aa47558e90e', '197edde42c1eaac3', 'df5695b1d749fefa', '813050433c8b20bd', '7102d9010349a215', 'b710c863c5c1e1cd']; context = [[53, 100], [52, 105], [73, 119], [0, 36], [211, 254], [154, 205], [35, 82], [180, 233], [1, 54], [76, 125], [73, 118], [65, 114], [5, 44], [1, 41], [105, 145], [54, 97]]; loss = 0.011864 low_pass_filter = 0.300
+Epoch 0: | | 19229/? [3:15:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 19230; scene = ['92cef9a878526dc5', 'c7e3e49c23394d54', '28db6971cb1ecad3', '67f9a1f1487f2ef0', 'b5f9c063d62c94bb', '03903125b687bad8', '686b949b3e4bf5fa', '43b3354177dedfcb', '6cd5b0c2949e17e4', 'c2b1745072bce1ef', 'd15af59d414280c5', 'c80291ff8936a10e', '07d62dd06d7d3b10', '37e6ad4caa7f9e37', '3667c847c4f69add', '56b2322682ff3abb']; context = [[7, 46], [80, 130], [0, 36], [28, 75], [64, 101], [43, 99], [15, 69], [0, 51], [229, 272], [74, 121], [182, 233], [3, 59], [145, 197], [9, 54], [63, 118], [31, 80]]; loss = 0.013018 low_pass_filter = 0.300
+Epoch 0: | | 19239/? [3:16:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 19240; scene = ['5b9d1cf99dc03ea9', '0f04f8ee8b2396c7', 'da794e5b3ff8bd6d', 'aaece70a39dd3257', '39f7c76ef42ac1d4', '55f0fab213db4673', 'e045088757e72c54', '00adc59ebcbe00f7', '17fbb941d129b91f', '2735d9182acee2f1', 'f64a64b4c17ad1b0', 'c6c114f98ad69a02', 'd2d3474ebd2be7e8', '18ed5f9e86797748', '68fe4c264682a4af', 'de13992d44e86ff6']; context = [[41, 78], [32, 85], [25, 75], [115, 153], [27, 79], [20, 68], [22, 64], [0, 40], [9, 48], [5, 42], [0, 38], [53, 104], [1, 44], [22, 58], [7, 60], [56, 110]]; loss = 0.009111 low_pass_filter = 0.300
+Epoch 0: | | 19249/? [3:16:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 19250; scene = ['493811a076df63d0', '1df9284b9b3b08ec', '7885f21461cd4377', '19cea81590502fad', '9d7bae0be039a957', '49857bd0043463c0', '665220b8553895a5', 'a54eb0f2f3d2935a', '073f5833ff3a94fa', 'b1a52a6ba86992e3', '70e5a51e17c67946', '6961b5dbb9ff9278', 'f6540401991f7640', 'f955ea0251fbcd9a', 'da363ffb684c74f2', '2133d448d2686235']; context = [[5, 57], [55, 94], [39, 89], [125, 177], [77, 132], [22, 77], [20, 76], [74, 114], [21, 69], [0, 35], [49, 103], [42, 88], [31, 67], [35, 72], [36, 74], [5, 60]]; loss = 0.010856 low_pass_filter = 0.300
+Epoch 0: | | 19259/? [3:16:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 19260; scene = ['6c8cd35a8c38bf5d', '280d6636eae33dd3', '07a9a32c46e67df3', 'a802441c288b598f', '90da26a5b04b69ed', 'd9ff7a8b9114dbcd', 'd7afba0f3ab5b579', '93598ff73741eb47', 'a3e68f2a6b87063c', 'f79a6334f7f97c04', 'f7d839262e5cc647', 'c0019ff8afeaf1f7', '84dd6be769a13042', 'b60bd0b7724eef6c', '08ba91736b9b2a17', '09957592fc85258e']; context = [[5, 42], [22, 65], [0, 38], [98, 140], [14, 68], [8, 54], [14, 67], [189, 247], [222, 271], [13, 51], [1, 49], [20, 78], [5, 63], [4, 62], [33, 81], [86, 135]]; loss = 0.010647 low_pass_filter = 0.300
+Epoch 0: | | 19269/? [3:16:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 19270; scene = ['1492f66574082e1c', '674f584b6f09a890', 'a1001a4df99e557a', 'df756e2bb1999ee7', '9d682af42dd7d886', '2ee23f8203b533b4', '4d5b55c12c0028dd', '02bb7b7e42bf32cd', '8c2bbeac9417065f', 'f0fb71e87e8675d2', '2431adcdd3aeeff3', '0b82d6fdf7a104ad', 'b1f3e643fb405e5b', '6cee6d0abdf16185', '7549b399afe41ed8', '51252022ddf74fb9']; context = [[90, 125], [52, 97], [45, 92], [100, 146], [200, 241], [167, 215], [13, 56], [21, 77], [9, 51], [11, 64], [170, 218], [214, 249], [80, 128], [2, 49], [72, 126], [211, 258]]; loss = 0.010424 low_pass_filter = 0.300
+Epoch 0: | | 19279/? [3:16:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 19280; scene = ['df6235b65c6fbc8f', 'cdd6844d28acc6c8', 'a7dc48ebfac01369', 'b31aaf00447c4ebf', '2b15d2104d444b68', 'd4b69051df78f431', 'c99aa7df2058b71d', '0a6cec37175b38a3', 'b184ea802483e37f', 'cd5b94f8cb32cc79', '1ca35396fbd10b46', '8740e1f6de885c55', '37382e949c5071a2', '91f91c407bc8b320', '5061d6e64c05022b', 'd220b5a896dd7fe1']; context = [[191, 232], [28, 74], [14, 59], [14, 62], [72, 124], [101, 156], [5, 45], [66, 124], [5, 56], [29, 73], [64, 105], [111, 146], [19, 55], [1, 58], [86, 142], [138, 173]]; loss = 0.007919 low_pass_filter = 0.300
+Epoch 0: | | 19289/? [3:16:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.0train step 19290; scene = ['6fc7d08ff0b3eaee', '46b81f067b56100f', '3fdecf55795963c2', '51da9e0a5042d403', '5118e208d551104d', '250f2ede2019a91a', '070e6ca07b5f898c', '07d791e644a21f03', 'e43706d840696cd5', 'd2f5efd93cab216f', '13f7e729c14cd10a', '4cfdc3ed984caecf', '1bb8fe74783c5161', '21316ebacd8d1dc3', '4b3fa9f2651d6a1b', '07aa57b4199f27d5']; context = [[43, 87], [36, 94], [2, 48], [65, 105], [207, 265], [11, 60], [165, 211], [2, 55], [3, 44], [74, 110], [7, 42], [213, 264], [17, 59], [5, 46], [71, 127], [85, 130]]; loss = 0.008522 low_pass_filter = 0.300
+Epoch 0: | | 19299/? [3:16:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 19300; scene = ['9079c9851a1aa17f', '1a565ef44363e64c', '1a4ddcf447f6a98c', 'ae108d175a910a98', 'fbd15ca7d13011fe', 'cece38769c817935', 'be4f1d3a9081ec93', '26982d1d02e9afff', '622a0d2554fc5402', '951d3d3360153a68', '4fc52f6aeecd8f82', 'afe08596b2895950', '8ed5a86dea1245cf', 'aa1601b3c7e10e3e', '014f71bd22de9f37', '969eae779f4745e5']; context = [[5, 63], [75, 127], [56, 107], [36, 91], [5, 63], [1, 57], [97, 145], [46, 104], [16, 62], [105, 140], [35, 84], [158, 202], [182, 238], [41, 81], [206, 263], [20, 70]]; loss = 0.010493 low_pass_filter = 0.300
+Epoch 0: | | 19309/? [3:16:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 19310; scene = ['f26c35b6e5dca2b9', 'f26e8a72f69b6153', '89fbc4149a5d7348', '2059d1d6c79bc51b', 'afefafce8f467d96', 'b31239014a7a8acd', '04035ad3c79de71f', '894324a48983f33d', '8dc59480f09acc94', 'f19fa4e6eb72c01d', 'ed67a97c26a61b8c', 'a6ce8807be0bf3f2', '8552b697412b1e72', '7c1c4dfede486a30', 'f7bef32e09ab061e', 'c8e936ea5ad9e902']; context = [[28, 83], [180, 220], [51, 86], [7, 65], [8, 57], [12, 62], [16, 55], [137, 194], [80, 126], [12, 63], [12, 48], [4, 44], [74, 111], [9, 62], [31, 82], [208, 264]]; loss = 0.010106 low_pass_filter = 0.300
+Epoch 0: | | 19319/? [3:16:49<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 19320; scene = ['9b6a57a6ff02dd12', 'b9b418fb1cb8b12d', 'ec5be7aa42eaa9b0', '1ce140bd016b2813', 'af05e9f84b56ad4b', '628aef9f0530a52b', '2c78821e19bd4ab6', '9ba631ec8a1568d2', '390fce4d1f115207', 'ec94c6fff965a9f9', 'ca88e751361b34fa', 'f17aee9a1b017d4f', 'ea35751c4ee60f5c', 'b766fb72e5b5daea', '071373b20ca8de21', 'e29d926fd50d759b']; context = [[23, 70], [4, 52], [149, 184], [32, 73], [132, 180], [23, 81], [0, 54], [15, 53], [86, 133], [6, 63], [1, 40], [166, 216], [17, 69], [32, 84], [38, 82], [4, 59]]; loss = 0.009177 low_pass_filter = 0.300
+Epoch 0: | | 19329/? [3:16:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 19330; scene = ['448e9fe6319b7f82', '8ae3c19ce9df8d10', '783d8f95e5260da3', '7185737d68768bfa', '5a47b4645c56fca8', 'a26323053bf1a166', '9e074c67823c5c9d', '0abb5cd97c210262', 'e1c8a5a48aa8d6b6', 'b99be4a64b39bf00', 'f16b47243c820545', 'e285e5f44d29e07f', '43c62aae5e2a9555', 'f4c4d2325f11f2f0', 'acdb6c85a0257cec', '0148d3807fb33da0']; context = [[115, 153], [17, 60], [76, 119], [1, 51], [16, 60], [15, 59], [30, 69], [8, 51], [60, 118], [56, 110], [81, 128], [166, 208], [3, 54], [25, 65], [40, 84], [10, 59]]; loss = 0.009082 low_pass_filter = 0.300
+Epoch 0: | | 19339/? [3:17:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 19340; scene = ['0752723a52571176', '5fbb1f29aa71cc68', '22add377c0d22016', 'f1858690627f8bcb', '42bc92ec4041074e', '007bd32591b43f68', '3e5be575ccb0f6dc', 'cee46b2523a45a59', '78f54b16f8204c3a', 'ab964b6b003ae5e8', '4a43e0185c382de7', '3a192914348dbd61', '0f8ad14bb4088d81', '4af74f4ff7c54a9b', '31f279e32e497154', 'd4ce31ac30a139fc']; context = [[18, 76], [22, 59], [1, 42], [1, 42], [2, 39], [171, 219], [89, 125], [39, 84], [38, 93], [3, 41], [69, 110], [39, 97], [125, 166], [15, 72], [54, 94], [189, 241]]; loss = 0.009597 low_pass_filter = 0.300
+Epoch 0: | | 19349/? [3:17:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 19350; scene = ['5e961818fd67db46', 'f441343e0c0fd965', 'd4f97bf4d5c21701', '6c9cc576ace9fb53', 'd6f1be9412864059', 'c5c88eecdd77f9b8', '1e34da8488eaf819', 'd2f557eafe8a2d12', '31798bae7e83522a', '4f904d8b36a45943', 'be3401ce13a4180a', '3e44b0211bff141f', '6fa353a8d73efcd9', '3bbd78ba78e45acf', '5f200e3e880b2225', '51d7fab7ae0c2302']; context = [[6, 49], [53, 88], [0, 35], [81, 135], [38, 76], [6, 64], [62, 110], [56, 93], [13, 61], [49, 90], [81, 121], [11, 52], [21, 56], [23, 64], [9, 44], [58, 112]]; loss = 0.010008 low_pass_filter = 0.300
+Epoch 0: | | 19359/? [3:17:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 19360; scene = ['1045f4f8fd6bdd09', '8d758914077e5926', '93e09aeb0a7c54d4', '3c0124edc69eb6a3', 'e960b51a97283205', 'ed491b6b382a27dd', '8c7d11ab92e11ec2', '9289b45affc0393a', '8c8f544747e05e5d', 'd62107fbe6f3019b', '2cfd10fc7cffeeb9', 'e906641219544af4', '67220c977a681ac0', '581114571144e6fb', '0319c6e14cfff622', 'da127f12a53933f0']; context = [[47, 95], [32, 71], [26, 71], [178, 229], [11, 51], [5, 57], [52, 93], [65, 122], [34, 90], [11, 54], [36, 85], [20, 62], [88, 140], [2, 55], [70, 125], [1, 39]]; loss = 0.008090 low_pass_filter = 0.300
+Epoch 0: | | 19369/? [3:17:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 19370; scene = ['735806a526764f0f', 'f1d0c2308fe37a04', 'd949abd5b412d212', '11dade2554d9fe4b', '60008e826bbabc87', 'c192877873ca4513', 'f21111953bcea290', '96d32953310c8208', '3d6b9aedc82597d8', '142345dff1f507da', 'b9898a02ddca3bdc', '078cf7bcdd1e6b98', '08c27044b75f9d07', 'a67d54082ce14e9a', '8941f8b586e324bb', 'c296bc064bf57103']; context = [[48, 89], [11, 51], [14, 61], [9, 55], [50, 98], [23, 73], [49, 107], [27, 76], [33, 84], [44, 88], [35, 72], [71, 120], [38, 79], [49, 104], [92, 129], [91, 138]]; loss = 0.009798 low_pass_filter = 0.300
+Epoch 0: | | 19379/? [3:17:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 19380; scene = ['c798126c9e920dcc', 'd261d26a10a93975', '3bb404adfcc380b0', '6f72032f93d39fef', 'fcf74e68c2678dda', 'c3bc207f4af7ad46', '17e071f027c54b55', 'c932900554a3875e', 'd0a5fe02748fc75e', '33e2078934da463f', 'a75e410b243dbdd0', '8ce487e5f7832de1', '293fd741a4b1418f', '7fd4e9cd7ee235cf', 'f3c989f55510b54a', 'efe93ae11b0ccdea']; context = [[41, 80], [22, 74], [164, 204], [38, 75], [52, 99], [13, 63], [29, 79], [2, 49], [32, 83], [25, 61], [0, 38], [115, 153], [140, 196], [23, 66], [118, 156], [65, 121]]; loss = 0.008740 low_pass_filter = 0.300
+Epoch 0: | | 19389/? [3:17:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 19390; scene = ['cb1c36275e03de61', '3f7992e72a096099', '2c88995e05a17d17', '964a8c79fc153038', '5aac7a494a76897f', '1c1dceff8e6f0eae', '591b7fef7e40aed8', '8a1475befb607b61', '0159a74d57a1b2e6', 'd216906d16b4f008', 'd8dee462911b5e6a', 'a8b050efa6c8b67e', '9329c049929d708a', '49983a5053eafbfb', 'e1df53064b4345d8', '05072eaf139f4298']; context = [[234, 270], [19, 63], [0, 45], [73, 131], [28, 65], [71, 114], [35, 76], [1, 37], [108, 153], [6, 54], [79, 117], [116, 163], [7, 61], [20, 56], [4, 55], [0, 44]]; loss = 0.010923 low_pass_filter = 0.300
+Epoch 0: | | 19399/? [3:17:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 19400; scene = ['f13084d6692c6510', 'e694c49a95468287', '4ba7f6dbeb55b20e', 'fbffb9c21146ae12', 'b4bfd76a9c071c79', 'fb4d48424bf2f030', 'e3ea1d932cb61b36', 'ef8abc1b989a812c', 'ca69181244bc4794', '8730a68b24c3678a', 'da0a55bfc7ac0d7e', '4cca2ad1cde55681', '7922209e3015f2be', '2a64843febb83d4b', '611773875fdb8681', 'c2ca510a4a1617f2']; context = [[57, 105], [14, 58], [8, 56], [52, 90], [183, 221], [6, 60], [22, 77], [56, 107], [5, 54], [81, 133], [36, 72], [8, 60], [65, 100], [15, 54], [48, 83], [70, 109]]; loss = 0.008949 low_pass_filter = 0.300
+Epoch 0: | | 19409/? [3:17:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 19410; scene = ['91a3807c4594afbd', 'eee7f2bee7aec83d', 'bc5ebbad305b5d0f', '0efc6af8523c24d3', '247734c1f18b13e0', 'daca15248046e480', '40e5a3bb5f8594ea', '0603807853f0f013', 'fb602e807115895f', '7412a1ebda95734f', 'ad9fb9be955d5f75', 'f590c2e368c84263', '0cd5fa6be5701535', '9e78a8ce89ddf0de', '30f5837d45148abf', '6e3b707bc0e641db']; context = [[4, 44], [8, 53], [11, 57], [57, 111], [131, 176], [11, 66], [32, 75], [7, 42], [139, 188], [26, 68], [62, 115], [9, 65], [9, 62], [20, 55], [10, 65], [3, 60]]; loss = 0.009343 low_pass_filter = 0.300
+Epoch 0: | | 19419/? [3:17:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 19420; scene = ['416b3dd5d7cd95ce', '1313acf0c228add2', 'b9ff5ad117ad6b24', '81200ff43940ce90', '349738c773f1af23', 'fb6c585450410ae0', 'd77ffc6a0bc1b514', '053ae5f5b93b1d20', '034a57b1ea3c8ca9', '582179e6a58732db', '61491d87e3e6ca60', 'a983f9bbf8f45e19', 'ec50fa67a550aa17', 'c5197c6f18fcfab7', 'ea297d66f60d6b3f', '650d86f52cef496a']; context = [[1, 54], [43, 95], [36, 83], [72, 124], [200, 255], [12, 50], [0, 35], [18, 61], [70, 122], [39, 85], [0, 45], [174, 215], [77, 117], [170, 219], [20, 78], [153, 203]]; loss = 0.010963 low_pass_filter = 0.300
+Epoch 0: | | 19429/? [3:17:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 19430; scene = ['3a962e4e715e65de', 'cf94fc1175fe334e', 'ed607afe10a81281', '49bfb5473fa165c2', 'de1c9674255ba611', '434e6cbea729523e', 'ef868db391c2ff62', '5d1cce2cc108112e', 'cd75d63480dc9b19', 'd1ddf5a9e8e08d47', '0e7f80803adb73f5', '2796da75bcd72d11', 'fa6cb78e1503d22c', '0207b0ec0cc851f6', '40c0d605c4f8c69b', '8fd75bd520e46b44']; context = [[31, 75], [23, 71], [84, 137], [67, 103], [0, 55], [2, 47], [192, 243], [3, 54], [14, 62], [52, 107], [39, 81], [3, 61], [75, 117], [1, 49], [5, 48], [12, 57]]; loss = 0.010525 low_pass_filter = 0.300
+Epoch 0: | | 19439/? [3:18:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 19440; scene = ['ed75866ec9a40107', '6e884ff6d57a3364', '9761d07ca7f2a0fc', '9d5e2fabbfaf74ef', '4e1b882813955e5e', '4057f16695021b25', 'ed9dd8ce473cc52e', 'adf57d46b95f852e', '939e52a7c9ba427a', 'e41709952e5565e2', 'c339230117f57503', '5e6dd2d2694a7bb9', '41558fcac4c12867', 'e86f3498eee85503', '7f1751104002d662', 'acf4fb4667004f35']; context = [[77, 117], [119, 172], [97, 155], [55, 97], [61, 110], [184, 229], [16, 61], [198, 247], [70, 116], [178, 224], [1, 37], [1, 43], [80, 135], [1, 39], [3, 47], [10, 68]]; loss = 0.011907 low_pass_filter = 0.300
+Epoch 0: | | 19449/? [3:18:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 19450; scene = ['3599c4c6d21fb2d2', 'eecc3fae23d9888c', '60ac470343f99a40', 'e0f94f721f5645c0', '29aed4bd6117c772', '9633f69d7f6699bb', '9a338b05ac5e0488', '0a683a595f574a3e', '3b904c75121b50d6', 'dc8a0bd69271e29d', '463e2b4db1450630', '067465f3c21db874', '5bba6b4279b90a3a', '1bb32d47bab4d0dc', '7ba0f68640ce9c8e', '412977eaf3f723d3']; context = [[0, 53], [50, 93], [1, 59], [3, 47], [136, 173], [46, 94], [90, 141], [136, 191], [17, 59], [15, 56], [126, 171], [8, 47], [45, 81], [48, 86], [160, 208], [92, 137]]; loss = 0.010201 low_pass_filter = 0.300
+Epoch 0: | | 19459/? [3:18:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 19460; scene = ['a5526e3fba4e3871', 'a43e51b1f17661f4', 'd8e82f327f681848', '9ee04fc0893141e9', 'c6b938515500f5ba', 'ae8b6f4dee0413bc', '80c1aaf5dfe84551', '6d766316bf6164d8', 'b9760b24420bb8bc', 'dfb5c99dbddb203f', '843e35674433ecd1', '2f14ade8275798af', '8afd5d2eba4c6bcf', 'df6d924afa10c79d', '0197f9c76ffe37f4', 'cec46046c053260d']; context = [[102, 155], [4, 52], [45, 80], [18, 62], [78, 134], [7, 57], [0, 37], [22, 59], [58, 101], [11, 57], [43, 82], [70, 121], [153, 196], [102, 156], [14, 62], [12, 50]]; loss = 0.010871 low_pass_filter = 0.300
+Epoch 0: | | 19469/? [3:18:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 19470; scene = ['bc1c008f39715ef7', '8152694c7e03b0c3', '14f3add9df8c5c11', 'a7930e5ef55f35e5', '2962fbb4bfaa1f12', '8055cdaff88d9bba', 'd2e538c55442f553', '385fe2305372cc98', '133b3a480f17aad2', '2f014a85e81ec2ae', '5882db20a6bb0353', '59d40a2bf0266ea9', '510265ff6868a83e', '038e82a37ebe8ab6', 'f8d6ba396651d621', '6208fd8fe75b76a7']; context = [[87, 140], [18, 60], [72, 118], [12, 64], [47, 83], [90, 138], [9, 64], [10, 49], [15, 56], [94, 149], [54, 109], [148, 204], [96, 139], [20, 77], [0, 49], [84, 128]]; loss = 0.009129 low_pass_filter = 0.300
+Epoch 0: | | 19479/? [3:18:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 19480; scene = ['bb114dfbdd195941', '9e16644932a6f7d2', '42e1cc17cb21f12c', 'b42870de310cce44', '8aac6e58ac48fd15', 'd9e0fc931a94def3', '62e480eda89b85f4', 'd3395f68f3233b97', '5354b259bb11a731', '12911b4f97d706b0', '937f8e3d9793a726', '5b32aa8371edec0f', '00bbf676b3378549', '34fb5840fbd65f27', '9bd0682ba6f3ea5f', 'd63314ee9d11a5fe']; context = [[26, 68], [33, 80], [214, 249], [49, 88], [63, 111], [23, 80], [27, 68], [46, 83], [75, 127], [76, 130], [1, 53], [241, 276], [11, 56], [0, 36], [58, 98], [13, 65]]; loss = 0.009359 low_pass_filter = 0.300
+Epoch 0: | | 19489/? [3:18:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 19490; scene = ['1a88e851d305178b', '8c0143a70cf3e085', 'cea3cd63316eacb5', '790075f0ba37ab5a', 'a670cb353526d600', '4f83d78089ea24e0', 'c52ec198e32186a2', '38907717de8a51d4', '6119e40a4a8af264', '6623c3822241dace', '17ccb96aabde6325', 'eaa610d06c1ef1ac', 'ecc5ad88a899700d', 'd33fd80a4959b66c', '23a8336e10f134c0', 'e2c5880586482c79']; context = [[222, 260], [104, 144], [91, 145], [8, 47], [73, 127], [6, 41], [19, 75], [0, 53], [1, 45], [187, 227], [21, 68], [20, 69], [153, 195], [3, 49], [94, 146], [3, 61]]; loss = 0.009087 low_pass_filter = 0.300
+Epoch 0: | | 19499/? [3:18:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 19500; scene = ['3083fb828649b8b5', '4e31a74c326af096', 'ca08c3e06b14333b', '0a610a129bdcc4e7', '5f89ae8d48b0cfa4', '797e58d60147a25a', '91530ea8f943b8c5', '33971d13212f9fd3', '3df240d45bf7aa2d', '0e93297772b0b4cf', 'c1a0a96099682188', '4b7f579ebbbc7d74', 'ca83086f7e41f595', 'f781ec56e81c99d6', '4107ea38eb047427', '2475d2724b2da534']; context = [[16, 61], [3, 49], [1, 53], [149, 205], [24, 62], [20, 55], [11, 57], [12, 47], [9, 54], [48, 83], [40, 79], [78, 120], [15, 55], [57, 104], [21, 77], [51, 91]]; loss = 0.013445 low_pass_filter = 0.300
+Epoch 0: | | 19509/? [3:18:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 19510; scene = ['b5bc98c13d36fe44', 'fef7fa5e5acc8c7f', '189bd7b2cdea8c39', '6ace98e323c6f352', '34554bbf6e317a9b', '3199458c576aed6f', 'f0ec6fde32d852f4', '865f1084bb5394ac', 'f7e299ca7ccbc897', '29eb7537903248df', 'c0cd96efb97299af', 'd550977e6ab72e54', '47261f4c960af669', '645a8988ce8fde03', 'e125136b4495509a', '4de4d4cc91401422']; context = [[34, 81], [38, 92], [18, 55], [91, 149], [35, 83], [17, 71], [22, 62], [16, 72], [96, 138], [11, 55], [17, 75], [27, 73], [43, 95], [31, 83], [28, 63], [41, 78]]; loss = 0.009444 low_pass_filter = 0.300
+Epoch 0: | | 19519/? [3:18:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 19520; scene = ['dbb576f0d9adf28c', 'c51bbe2cf79b572f', '06bb3e6123bee4e7', '4777dc29a1d20c7f', 'f98f1a15850aaed9', 'f7adcb2981b56215', '1c7fd25c56d97b41', '276c19248173dd64', '8cd4f583ad67b0d9', '007802ba570b907f', '1ee8194ce6a0bbf1', 'eb01f26d78c872fa', '35f3f48e1d677084', '252e1265b744051f', 'e51be7bc34a98b1d', 'c19d301b19745448']; context = [[69, 115], [17, 65], [67, 121], [39, 91], [10, 48], [17, 63], [14, 65], [39, 76], [7, 61], [37, 80], [14, 63], [84, 128], [15, 64], [55, 100], [32, 82], [52, 100]]; loss = 0.011304 low_pass_filter = 0.300
+Epoch 0: | | 19529/? [3:18:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 19530; scene = ['06a16655c8e8ad9c', 'a9936b77895f33b3', 'fb7776636c2a50b5', 'c5a85f680c4f9c9c', 'e378dacc43d0849f', '200175963adc6ac3', 'b68050a8ff44f93a', '3c6aa73a19631d61', '7ecce1053f19e8a8', 'f2b24232770db7e6', '3f48fe101049469e', '6e47e2b5cb626136', '23cb55a410296e98', 'd825d767d75dca20', '8aa9c11288e2f7be', '415660809150f2f3']; context = [[227, 268], [2, 41], [9, 62], [30, 82], [12, 63], [22, 61], [13, 57], [51, 95], [18, 75], [20, 66], [21, 63], [134, 171], [198, 247], [7, 46], [81, 134], [99, 149]]; loss = 0.012555 low_pass_filter = 0.300
+Epoch 0: | | 19539/? [3:19:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 19540; scene = ['bc3682ace399aad9', '1c76ccaab2f8a093', '2d8eae90ee1533c5', 'a667f1e8d9c8052c', 'c6395f5729950511', 'b51950afe84dd6e3', '471d05cb8b4bdbdf', 'dab103950a98ced4', 'b9fa9a93b6c71d1a', '83f6690418bf02c6', '9c11364f882e0711', '513b92157acf770b', 'e594fd14a8185723', 'd2e9788589f8e68c', '960b87d0c2ce86d2', 'b807a205575eb225']; context = [[25, 61], [136, 194], [24, 67], [37, 80], [33, 90], [43, 99], [7, 61], [19, 64], [116, 159], [15, 59], [35, 84], [24, 71], [116, 163], [97, 138], [26, 72], [3, 38]]; loss = 0.010066 low_pass_filter = 0.300
+Epoch 0: | | 19549/? [3:19:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 19550; scene = ['dccf91e2bca52097', '4651d4c3b87caf3a', '0ae58df051e6e444', 'afb2780ec2449b62', '267723fe1f811072', '03e8f213357b9616', '6d71b3b243c17a2a', 'adf6f584f6b81a71', '2de3d943aa0bf9e4', 'cf8fc3268c3034d6', 'e481020f14446686', '3e96e6f2c7c8826f', 'b4634a77e910fb31', '8e8093ea0dda5bf6', 'b19a7215b055242b', '63808c84d7b4507a']; context = [[49, 85], [4, 42], [29, 84], [13, 61], [1, 48], [32, 77], [96, 150], [0, 41], [69, 116], [18, 58], [81, 119], [19, 72], [22, 80], [164, 213], [1, 38], [8, 61]]; loss = 0.012204 low_pass_filter = 0.300
+Epoch 0: | | 19559/? [3:19:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 19560; scene = ['74ea3fba9bc2f643', '3f6f6c90783da13f', '770814423651553f', '89a157ea50b44d8e', '42e8ce77eb573d3b', '0f5d5b92ce2aca3c', '658a1b41b954b052', '60f8dae5645cd128', 'edd6edfb48780892', '830ae97d2cd7c39f', 'e512661bf75c3a7c', '85d1ef80ae3409dc', '3706add84fc44372', '0f714589074ad057', '0745d537fc1aec73', 'f9540970fc8a58cd']; context = [[47, 84], [20, 61], [4, 59], [6, 61], [1, 53], [62, 110], [10, 50], [43, 88], [136, 174], [10, 61], [12, 68], [15, 65], [2, 39], [4, 59], [155, 192], [59, 115]]; loss = 0.008710 low_pass_filter = 0.300
+Epoch 0: | | 19569/? [3:19:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 19570; scene = ['c2f4a9a48094a748', '5f29b6d60b37b94a', '3a4a10a316270e72', '5b2563dddb9d6035', 'b5b8801fce3a8754', '9c528e44da5e641b', 'd3aa865d26ebaa1a', 'b1f61faf9c2de753', '67303c1c83feffbd', 'd5fe718b561e0c6a', '778b53f63b254ece', '2392a428453da5e7', '98e6b98fd8f06caa', '92db89e50720951f', 'af402f8ce169e00c', '29d6a3513da47b2a']; context = [[2, 43], [87, 133], [21, 76], [20, 57], [14, 64], [2, 46], [152, 194], [31, 87], [9, 60], [5, 41], [75, 112], [137, 192], [44, 91], [4, 58], [36, 74], [149, 197]]; loss = 0.009778 low_pass_filter = 0.300
+Epoch 0: | | 19579/? [3:19:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 19580; scene = ['529d61d09bec94a1', 'd923a931e8582c3f', '0586a78aa1664230', 'b3d43f18a8fdc262', '75fc9c01915d3371', '781189313a86b8da', '4c80bb26bc9a9842', 'f5fed3643ddc5f5f', '1fcb1912100a1509', '9e70ce8046bae357', 'c3d002e9b4eb33d1', '0fe8bd24289accfa', 'ed95f4dca7ba49ba', '30d0ff523ab86200', 'd05d33bc65e5bc82', '65a0ff865cf34311']; context = [[7, 45], [1, 56], [20, 70], [28, 85], [93, 135], [133, 188], [25, 81], [10, 61], [60, 109], [50, 101], [48, 88], [65, 100], [29, 85], [72, 107], [14, 66], [0, 35]]; loss = 0.011715 low_pass_filter = 0.300
+Epoch 0: | | 19589/? [3:19:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 19590; scene = ['4053b2c1b94f9e68', '22fc661d65e41a60', '51f5ac0ee6167c99', '7680be94e005fde6', '9a38c7681395953e', '173ec6098bac29fe', '1013958b9d5a57fd', '757c2be20ce6cbb4', '4dc18688d7035c2f', 'e6a4c397f62687e3', 'b3c7ff644ba2c88b', 'fdd482edf0cbd37e', '83fe566272def272', '779a17b84e25feb6', '3bb7b286dee65826', 'dbe23dec6cf24911']; context = [[90, 134], [51, 95], [2, 37], [130, 180], [85, 141], [3, 44], [27, 79], [28, 69], [2, 54], [24, 80], [104, 143], [41, 88], [173, 217], [34, 69], [98, 152], [34, 70]]; loss = 0.011714 low_pass_filter = 0.300
+Epoch 0: | | 19599/? [3:19:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 19600; scene = ['9c553c8d306581ae', 'ac26f59587002d73', '1d6150419fe159b2', '5dab864bd9c7d1ba', 'bac9ac17ee40a91e', '23c5fd8b2ee6b24e', '84a3c4bf31f6a66c', '72bc8ef5c2bab64c', '99a5b8917c62c1b3', '83b4e000823a3d5a', '6961b5dbb9ff9278', '7cfb95e305eef1a9', '2133d448d2686235', 'f6540401991f7640', 'f955ea0251fbcd9a', '568154cb9f9a9bf1']; context = [[11, 57], [20, 64], [41, 82], [34, 89], [12, 61], [93, 132], [0, 56], [11, 65], [0, 36], [7, 45], [95, 148], [22, 60], [201, 252], [13, 60], [6, 61], [7, 64]]; loss = 0.011372 low_pass_filter = 0.300
+Epoch 0: | | 19609/? [3:19:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 19610; scene = ['8731e4f6291df835', '5d7cf77400ec9c60', '64738f5c93012be2', '4367d08eaaa983f0', 'b258d567622b6b49', '7f8a68eb0dfb0a1c', '8fd6c4c7f4707439', '581c49e2af966b76', '51bb0c8ae922384a', '175e51612f25a50b', '61b1d777f52e4daa', 'bc511cc4f1d7233f', '41e65eba2ca116ef', 'ddddc748525fe644', 'd8e286da30daba52', 'a9883648d75c17d9']; context = [[162, 207], [16, 59], [1, 39], [217, 274], [123, 166], [19, 58], [24, 63], [28, 82], [28, 64], [18, 62], [59, 113], [64, 100], [64, 109], [97, 146], [82, 117], [12, 49]]; loss = 0.010380 low_pass_filter = 0.300
+Epoch 0: | | 19619/? [3:19:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 19620; scene = ['96685d6fb541e340', 'd85b49bb1abf682a', '1603b78e8d5cb55a', '39056c1a044a93ec', '53cc170afd118008', '263271a1bcb631b4', 'bac9ac17ee40a91e', '72bc8ef5c2bab64c', 'ac26f59587002d73', '1d6150419fe159b2', 'b1f4bd04727375ff', '9c553c8d306581ae', 'fc44874b30bf3288', '83b4e000823a3d5a', '53599c2c4ba5c668', '99a5b8917c62c1b3']; context = [[56, 93], [11, 63], [45, 89], [53, 96], [33, 70], [10, 63], [4, 45], [28, 79], [26, 69], [5, 42], [9, 57], [8, 52], [48, 105], [26, 73], [0, 38], [5, 52]]; loss = 0.011336 low_pass_filter = 0.300
+Epoch 0: | | 19629/? [3:19:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 19630; scene = ['7c0b9b27b0221a06', 'bbf2783a7ab10d31', 'd7d21836042ec476', '8ffd3c9918714311', 'e6f21e41577a78aa', '419ab2ae0cbcc49d', '50fe95437cbf8ff2', 'e95581a829bf8d7a', '165bd1ee2bde617c', 'a9904976adc1707a', '135cc677e20df588', '34524c4a56295200', '094bcdb1f7a09811', '0635a3619c622723', 'ed53bf7b8e6dc9d1', '17dbc5c57640cd6e']; context = [[24, 73], [97, 147], [2, 47], [56, 113], [2, 54], [14, 67], [23, 74], [9, 47], [73, 122], [14, 55], [220, 266], [87, 123], [9, 57], [30, 81], [95, 138], [0, 45]]; loss = 0.012024 low_pass_filter = 0.300
+Epoch 0: | | 19639/? [3:20:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 19640; scene = ['027c1f8fdd9ddf10', '89acd0b6b3f8a2d2', 'e8bcc2e3fa0b3809', 'c8352778f6f46fd7', 'c3b965a5e39ef192', 'e106861cc56406aa', 'e951fc5b6d016a27', '42db3d96c3629828', 'fa3512cc1d8cc893', 'd0e19f4dfeb27a7b', 'f8902ae83b7ea77c', '2d9ee899b8de1751', '8082c23975ed106c', 'cf543fb043aa47f6', '223c174bc6709501', '48cac3e183debfc5']; context = [[10, 46], [189, 239], [105, 146], [171, 208], [32, 88], [74, 130], [47, 96], [66, 115], [124, 170], [3, 56], [30, 75], [27, 71], [0, 54], [1, 41], [19, 76], [178, 216]]; loss = 0.010895 low_pass_filter = 0.300
+Epoch 0: | | 19649/? [3:20:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 19650; scene = ['76dae941ffcc3e94', '2e2d0271a792d57e', 'db3b613d2dda8b86', '9cd0248a2fc79292', '76ee4ae91b2d6526', '7d8df2e4469efdc7', 'f0f9dc20febf63c6', '9a92a4070785e9b7', 'd6956a508357c234', 'ea21efe547c57ccf', '5629513f08256634', 'f79076ea1e30db66', '5f5f690da0e4ecbb', 'b5d2cca01af50b85', '3ab97fdbbcc240e0', 'dc1d3b4c937283cd']; context = [[67, 108], [184, 234], [5, 45], [19, 61], [146, 183], [0, 35], [113, 172], [127, 164], [107, 156], [47, 98], [20, 67], [0, 40], [50, 90], [12, 50], [4, 61], [35, 78]]; loss = 0.013269 low_pass_filter = 0.300
+Epoch 0: | | 19659/? [3:20:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 19660; scene = ['c7eb5da11af412d6', '54da02e4dd714f48', '2b624da94d6da68f', 'd50420b20607f2de', '5244fc9d5e9e355b', '0b61e5cda871bfcb', '0143864395cecb80', 'dde8845ccf64c76f', '9aaff40d2f0278f0', 'f08a49f7e35dd20c', '853c7eebbeca0d3c', '681604fdfd49a494', 'b3a97d27c519cdea', 'afb2a56969dfeb12', 'e4826c5ed7607257', '1deb23885f70a8ec']; context = [[66, 103], [39, 86], [27, 72], [0, 41], [1, 48], [2, 61], [22, 75], [1, 58], [1, 43], [96, 145], [11, 48], [2, 37], [2, 40], [58, 105], [26, 73], [54, 109]]; loss = 0.011114 low_pass_filter = 0.300
+Epoch 0: | | 19669/? [3:20:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 19670; scene = ['aaa35d5b558b2928', '651a8ebc3a8b53e6', 'cdaeee1e3b251454', '49dcef9a0f25a2c4', 'ad6996ece8de4321', 'a909eba2bcda6195', '0979d74fb6229f17', 'f4d5dd4c8d4152ee', '5e7feb40926004e4', '8a982eafda75f84c', '1c036369a68f1231', '3bcc68a17953c75a', '2681a222b2de8212', 'dca9298d29ad02c5', 'aa43846bd2c5e3bb', '8d7eb1bbf8729a14']; context = [[53, 95], [27, 64], [28, 71], [8, 49], [16, 61], [83, 119], [10, 48], [42, 98], [7, 49], [4, 48], [128, 182], [39, 80], [7, 49], [15, 61], [90, 143], [28, 73]]; loss = 0.011036 low_pass_filter = 0.300
+Epoch 0: | | 19679/? [3:20:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 19680; scene = ['839847f78aa7b6b5', '9ac7bed7b0a8b61a', '709108b3b7921a59', 'a87bd967231bd348', 'e2b98599dba68579', '1357d340440e8462', 'e180871351d3a437', 'b35553efd3f434f6', 'ee5ca9e0d233a884', '62dfdebbca369218', '546bd8e2d7bce1c3', '314e7a92a949625b', 'f356a31315da1ce8', '712843fc7700b401', '5764720de0f328a3', 'e54c3140f010a440']; context = [[81, 132], [72, 111], [119, 174], [4, 42], [76, 129], [47, 89], [72, 114], [44, 85], [63, 101], [12, 66], [4, 41], [57, 111], [33, 89], [0, 59], [6, 62], [101, 136]]; loss = 0.010213 low_pass_filter = 0.300
+Epoch 0: | | 19689/? [3:20:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 19690; scene = ['14fc6c1ae5d22c42', '278a52723c725e85', 'f821abf27153e65e', 'b98dd6d8995428d5', '2805a4d6ca7fd6d6', '76b8409f953e5a0c', 'bec5fda37134a938', '1f8678091e653a51', '0df3aa54019f7377', '965f4c3a2e84ecc7', 'c56a58f09e4b6e88', '6ae24966d1f85a21', '25b1bf23672016bb', '82ede6655dea491c', '32d2ac72c9edfbf3', '1e088f1e02f4fc27']; context = [[3, 43], [50, 90], [1, 46], [16, 61], [15, 69], [0, 38], [67, 120], [185, 224], [43, 86], [20, 70], [3, 38], [20, 75], [10, 69], [6, 53], [23, 66], [44, 88]]; loss = 0.012189 low_pass_filter = 0.300
+Epoch 0: | | 19699/? [3:20:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 19700; scene = ['dd29ea4744d75985', 'bbb021e52b6ccc7a', '674ef826ca7eeb09', 'd199375842a653ec', '28ca1b6ece7702b8', '70d1c55ddcd4a753', '204e1d9acc813002', '6c57365cc119cce7', '8a57ec2b5a935cea', 'cd54ee699c89cf1a', 'c2623048da0b7295', 'e2a26c414b0a6c2f', '2dc50f13e83c2884', 'cba2dcb651b3f309', 'eb9827fd78c71334', '1990b72a5708f65d']; context = [[1, 37], [17, 63], [151, 194], [53, 111], [23, 68], [27, 74], [21, 78], [139, 181], [178, 236], [9, 44], [20, 65], [4, 59], [40, 92], [15, 61], [10, 46], [6, 56]]; loss = 0.010302 low_pass_filter = 0.300
+Epoch 0: | | 19709/? [3:20:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 19710; scene = ['26d24a4ffa345a72', 'c2b493a3f453b580', 'eedf58408454e55c', 'f6b4b22a93e98fdf', '3d2b02d7e5640357', 'e75859b9da105e74', '13c92fcd6e77bde9', 'e656d52bcb246c51', 'addde38c57090b86', '128b26983c2a8c5f', '451456d4e8343e3b', 'd0f9b008f8269903', '234e288a65e0ea1c', '272f59817cb4a562', '0df8d4e3cd5241e6', 'da5de01cf7e41541']; context = [[88, 123], [26, 75], [170, 218], [4, 39], [19, 66], [4, 43], [30, 83], [16, 66], [58, 109], [1, 54], [139, 197], [88, 142], [6, 63], [41, 87], [15, 54], [10, 59]]; loss = 0.010410 low_pass_filter = 0.300
+Epoch 0: | | 19719/? [3:20:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 19720; scene = ['1e4b301e3edb5c73', '9f0eb311381bcfe8', '80577c02d0925e08', '3f324aa70bb1beb2', 'afaaa965312f0083', 'd810f4eac26218ac', '6a3f09ac3efff60f', '651a9f768e528c0c', '75a94c46c20c6c93', 'ccf427298e1906c6', '9a96e3934ac1f20f', '8df6a8f9f01e468c', '955983545a8add83', 'eb03f68ba74e860b', '7d3fb0628f79dee9', 'c001dd0eab98cdd4']; context = [[40, 86], [31, 69], [6, 58], [160, 205], [4, 41], [15, 70], [72, 126], [69, 106], [16, 56], [3, 62], [15, 68], [28, 74], [156, 199], [11, 70], [26, 84], [23, 82]]; loss = 0.010555 low_pass_filter = 0.300
+Epoch 0: | | 19729/? [3:20:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 19730; scene = ['fdb6fe07b7177854', 'dda3ac5e6f3750a1', '3e30604f4534a8fb', '8cee9991d18c1f9b', 'ce83b2cb583c5746', '61b47f4bc7d7d615', 'eb0d89c323b8848b', '7d25a46eba7a6f2b', '69d48147d336abd9', '1d09d68c42cd89c7', '9b11721b160505e4', 'f7f3359cd5a72d36', '9b53b65f6589b449', 'e6acd6116662f723', 'd8373137a11e4c9f', 'b613703ecc554b02']; context = [[86, 144], [84, 131], [25, 61], [11, 54], [18, 63], [23, 76], [38, 85], [25, 73], [78, 127], [8, 61], [35, 73], [18, 55], [55, 90], [6, 56], [14, 70], [155, 209]]; loss = 0.010125 low_pass_filter = 0.300
+Epoch 0: | | 19739/? [3:21:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 19740; scene = ['fdd7f98d91350893', 'f2eff02be31d3029', 'b3e27733999713db', '4b9223f14a0809e1', '0f53e6296db0a94a', '20dfa4587a409364', '7bb57f9bffa7af3a', '434b3a30abfe4381', '356fbd4ee25801da', '1002982dc26ad241', '78adef3bb25806a5', '43cdffab4c6f1861', 'b7e0b9bdf95327a9', '7015660a6edcfcff', '62bd65e4def165cc', 'eb843846f25383d7']; context = [[18, 73], [37, 86], [11, 70], [16, 73], [50, 98], [49, 85], [1, 60], [39, 97], [56, 94], [1, 39], [20, 67], [23, 66], [104, 139], [4, 58], [48, 84], [3, 53]]; loss = 0.010785 low_pass_filter = 0.300
+Epoch 0: | | 19749/? [3:21:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 19750; scene = ['86c8ad41a64926cd', '064e73637f341df3', '8671a66efd56ff9d', '6fe9eaa94a71cd5b', 'ea31b004087c3db9', 'f141d7216dcdfc5a', 'd1f9017dee739f4b', '34c94cc634b3c15c', '7471f20705d68d02', '82ef35b5e9ab648c', '90132367d9ca79ce', '170d0c93b0d9d676', '50fe7212c3addd74', '8f5bed12aa7f02c7', '9dcd00af04ad741c', 'a07df00a165d15c6']; context = [[0, 55], [63, 118], [20, 74], [76, 124], [13, 70], [15, 64], [60, 99], [54, 113], [124, 169], [167, 223], [82, 137], [8, 57], [36, 71], [0, 35], [1, 59], [2, 37]]; loss = 0.009021 low_pass_filter = 0.300
+Epoch 0: | | 19759/? [3:21:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 19760; scene = ['c2f79eadd57323ce', '34b6c365004325e7', 'ed3ed04c4f00ecc2', 'e10e98248320de61', '194c9af6fe68a201', '29d34f66008704ff', '22caaa656c96d586', 'af41567300d173c3', '1d453783d85d79db', '3120a28bf2de8ce5', 'bce4a069332c60ac', '5aa26ed38a005114', '15ca67b5494b57c0', 'c290c8c23df38372', '57fadd61d10ba765', '00559a2a16636897']; context = [[12, 60], [21, 73], [7, 57], [51, 100], [115, 162], [4, 47], [0, 38], [60, 102], [17, 70], [220, 258], [52, 110], [104, 152], [7, 44], [182, 220], [21, 78], [58, 107]]; loss = 0.012068 low_pass_filter = 0.300
+Epoch 0: | | 19769/? [3:21:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 19770; scene = ['a8c10c5aa79981b7', 'd54159912c53e80b', '4b1bee2132817957', '02df65abb7c0bfb0', '4157be3703b992c9', '506753022747f386', '4946a0355cebddad', '8f8db78b02cc1d0d', '6ba2f377a21c9425', '56a2ac4100abd798', 'c506d1287fc0bc4e', 'c23fe454bdf2aff2', '5f9a698522ab7afd', '6e77ffab3e66c017', '146061cae31b2eed', 'e8a0e1bd17e1c957']; context = [[5, 62], [122, 162], [71, 111], [105, 164], [64, 121], [112, 163], [42, 89], [63, 118], [19, 75], [79, 133], [1, 39], [36, 78], [33, 69], [6, 58], [17, 54], [159, 212]]; loss = 0.012202 low_pass_filter = 0.300
+Epoch 0: | | 19779/? [3:21:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 19780; scene = ['f73e525030617d22', 'c2c736c54d6b4374', '48c9bb29482ddf76', '274279bd6f815607', '593dfdee6abc704c', '4ca457ca633e17e3', '4c6b267e4c124540', 'd289541809be1924', 'aeb0a9a7ae4b838b', 'face86bf6353a397', '95522bc4e658c4bb', 'a60e4127f167ac93', '69596c7df4b9df23', 'f61b6261a949358f', '11a0178831a2ae2c', '7a40c2ec4e36880e']; context = [[48, 86], [0, 38], [24, 66], [32, 68], [11, 69], [0, 54], [98, 140], [38, 82], [10, 46], [32, 76], [115, 153], [67, 120], [34, 88], [191, 227], [6, 51], [26, 82]]; loss = 0.008971 low_pass_filter = 0.300
+Epoch 0: | | 19789/? [3:21:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 19790; scene = ['f8ae7d20daf890f2', '04d616768a5d52af', '650055898f2850c4', '1a3e5a1b44f8ff30', '9c7ec96e0cbf40c6', '68fcb7657464a25c', '53701cfab9d31b4f', '465f47645f47fc91', 'c5fd05e61423e739', 'dd26d8f5b166f274', '70c416d773ef02f7', 'd8d9bcbb2c20cda7', '824e8f2ce491283e', '7e266b3192651510', '25404e3588d54e14', '51a39b25696c0c87']; context = [[107, 162], [3, 44], [15, 51], [31, 83], [76, 116], [7, 46], [102, 159], [6, 61], [24, 82], [34, 89], [8, 66], [18, 73], [68, 117], [21, 56], [37, 86], [18, 74]]; loss = 0.011073 low_pass_filter = 0.300
+Epoch 0: | | 19799/? [3:21:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 19800; scene = ['7d7c1a7a22f3cb5b', 'c0eec9dd4022d2be', 'c09788a6db7d9cd7', '80f7cd2faeae14cd', 'cf25e28fc66b11bf', '70cbc47e6c79c801', '8f6d593dde943920', '7840f9ac4e9c77d4', 'db07a535a8c0aa7c', 'e6a11c57b6a665ca', '357bf45f08163f58', 'ef4ae395daf99f1c', 'c002e62e4fadef21', '2ac3bf31ddefb768', '6e265cfc58ee5e9e', '69e94c1fd190cc2f']; context = [[72, 129], [20, 59], [89, 134], [0, 40], [61, 110], [8, 50], [97, 145], [6, 64], [53, 98], [3, 59], [30, 75], [83, 129], [37, 91], [13, 57], [10, 57], [3, 52]]; loss = 0.008258 low_pass_filter = 0.300
+Epoch 0: | | 19809/? [3:21:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 19810; scene = ['3914c72798afbf55', '351d1ccd07acca8f', '4f626955e18d7e9c', '26bbe9550ed68e33', '4ae568405ba121e6', 'ae8b750581750b0c', 'd887ff15fda99b2e', '11b228589e3142d8', 'e4101f73c4a93ba7', 'a9ceae667772df76', '4ad4191f28c4bd5b', 'c796ce41782dafc5', '44ae6eb084b5a39e', '0afe668d57616438', 'e3641bf1bb0eeacc', '56713b122d143473']; context = [[35, 92], [41, 82], [8, 67], [13, 55], [10, 63], [68, 111], [27, 86], [30, 84], [86, 132], [61, 118], [10, 46], [0, 37], [22, 76], [181, 232], [6, 42], [5, 50]]; loss = 0.011448 low_pass_filter = 0.300
+Epoch 0: | | 19819/? [3:21:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 19820; scene = ['f3861d7b58487efa', '417623781d50d924', 'dc541d55464d4055', 'b4f733d9be7b7182', '21810cdd510b3446', '86c2513b349c1bfa', 'e56faa3956de9664', '58dd91617d378543', 'aea600cf5857c796', 'e070e207b2a27686', 'd28dd035c45d7b06', '2faba19369f7af1d', '315d75f711d441e7', 'c7df75f0a22b9980', 'cd1b750af1701dd8', 'eeeef9bad8464592']; context = [[66, 120], [27, 62], [10, 63], [13, 57], [8, 66], [47, 98], [43, 90], [9, 61], [16, 59], [72, 126], [49, 99], [96, 135], [34, 82], [2, 52], [4, 54], [4, 61]]; loss = 0.009649 low_pass_filter = 0.300
+Epoch 0: | | 19829/? [3:21:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 19830; scene = ['dd3e295d87254211', 'c43f2afac41be9f0', 'c09f0974b1886497', 'ed03a5c85c48f284', 'f6cf7564dcf914a6', '4812a70132f58027', '5d04fab0c0b812c2', 'f06153597191997d', '07d4ca1dbb7321fa', '2a0224f9004eb606', '096e540f66383e76', '20538de137dec3a0', 'faa09c4a4bb3844c', '1d1753bbd2cfdeab', '5817c488b6a26b87', 'f4b7929261ffdccc']; context = [[23, 73], [9, 59], [61, 98], [11, 68], [61, 99], [227, 278], [32, 73], [0, 35], [2, 44], [128, 185], [28, 85], [45, 101], [50, 89], [2, 43], [11, 57], [114, 173]]; loss = 0.011335 low_pass_filter = 0.300
+Epoch 0: | | 19839/? [3:22:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 19840; scene = ['8676191d9cc1582c', 'c6954e6797e39fb5', 'f0d66da33527fd25', '357bc41b6ce661bb', '3694c47ce6c7f243', '00b9ce4411353d22', '9ed7375d50f00a3e', '031669cc955343fa', '9f1b2faec30849ef', 'a1d036299c796886', '0418bc556c8c2d2b', 'd95fb4c6a733d51e', '473151eff600d3bc', 'f7e40cebe23ebe80', '6566d57049fbcdc3', '5eb9fed9edc81943']; context = [[76, 135], [23, 63], [13, 57], [4, 60], [1, 50], [155, 202], [121, 162], [14, 72], [8, 66], [5, 45], [4, 54], [66, 113], [13, 61], [28, 80], [34, 85], [186, 241]]; loss = 0.009807 low_pass_filter = 0.300
+Epoch 0: | | 19849/? [3:22:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 19850; scene = ['1bc9b75ca097d2dd', '75e9a04fb0101527', '99443fb21068d0b0', 'e376a1ed39b04274', '7725c59a73f1f84a', '35f8034910257080', '4590c6d6a67a9be4', '7fb9af378642349b', '89d66a9c8a4ad0f6', '570d95baecec01a1', '014ea8547585c518', 'a1241cfb7cda3682', 'e6af38dbb509b438', 'f06deae3225e95dd', 'edd59428ff4a939a', 'b1563f41dea45424']; context = [[111, 159], [7, 50], [19, 60], [0, 42], [180, 219], [74, 131], [14, 59], [43, 90], [57, 115], [71, 128], [58, 113], [14, 50], [21, 70], [0, 59], [35, 71], [9, 61]]; loss = 0.009478 low_pass_filter = 0.300
+Epoch 0: | | 19859/? [3:22:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 19860; scene = ['e6e618b39c52caed', 'b25b63d8a5e5ce25', '490719eef95b0e50', '4d322621daca2ce7', '6f906f4748dd243a', '0510e6f8eba380f4', 'c9f78fa882799a27', '9e0aee54a72d5c8a', 'e80172408be42618', '4be78a34f5d97b64', '96c1754d9527cef7', 'c34baa7a466d6f17', '8094d6a3dfd3333f', 'f8179df095e9575f', 'b03df4c4382500a8', '191d93d539d59e6a']; context = [[8, 51], [0, 35], [15, 50], [44, 85], [163, 201], [26, 71], [4, 50], [0, 47], [37, 89], [34, 74], [6, 53], [27, 64], [50, 105], [77, 122], [52, 95], [24, 71]]; loss = 0.010406 low_pass_filter = 0.300
+Epoch 0: | | 19869/? [3:22:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 19870; scene = ['d4328b7d05b1551e', '31056e2cf25c5b94', '403865cbaa8acfaa', 'd9da7b0337345d3b', '3e0aff49cbabd07a', '8d07885c4025b4af', 'abd71f81b292d209', 'a5d20dc4aee7e64e', '8bc37f0e5297a486', '6e39991f48d99673', 'f3dcced9d38fa6c1', '4b6823a1112b87ff', '5f3e924963ab36c4', 'd3689d2f8bd82d10', '48d50fa60bf26802', '257ab5c1a83a0664']; context = [[12, 68], [54, 101], [62, 110], [74, 110], [2, 49], [176, 214], [51, 108], [38, 79], [172, 218], [22, 59], [37, 74], [4, 53], [4, 41], [9, 45], [22, 57], [14, 67]]; loss = 0.009900 low_pass_filter = 0.300
+Epoch 0: | | 19879/? [3:22:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 19880; scene = ['bc5f1d764f1c0257', 'e89671db250ccf4a', '888302379c70fd34', '32ac33e7248c994b', 'd23158e41df25c32', '02f2bced7693a878', '06b4ad8ba744356c', '658d1d5153bc693a', '416c57e30e349333', 'd32c485ee5e46e29', 'f73c9e294e458e79', '329c5e4fec7752fb', '638a7bac2753aa39', '268516a683b177a5', '20a314fca8085294', 'effccf76519de9c4']; context = [[9, 59], [11, 51], [48, 95], [3, 58], [14, 63], [2, 37], [3, 40], [61, 98], [84, 143], [65, 108], [12, 71], [40, 88], [3, 51], [9, 66], [59, 96], [0, 41]]; loss = 0.013128 low_pass_filter = 0.300
+Epoch 0: | | 19889/? [3:22:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 19890; scene = ['f72ed6e42de68650', '2ad10a10ef9c7fbf', 'de086bffb414572c', 'fedf0f2c8ce522e3', '43cb4612e252bc5a', '1a81722d05a00087', '72e7a362766453e3', '1f422061ac96b1eb', 'd22e085f998aa325', '28e8b02f952b3884', 'b5ab121f7a769a24', 'ff1a9e62152d18d2', '4da417ceb0d1c7ed', '6c8b264c8885d701', '9173f511f59175a8', '9bad3ae70b077f2d']; context = [[80, 130], [77, 119], [24, 73], [24, 59], [27, 76], [40, 93], [31, 73], [24, 59], [33, 92], [58, 94], [3, 41], [73, 110], [114, 156], [49, 108], [17, 65], [36, 74]]; loss = 0.008922 low_pass_filter = 0.300
+Epoch 0: | | 19899/? [3:22:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 19900; scene = ['c69e635efb9af3b8', '5dcf95219a40b46e', '7dfa29a40bbe8e56', 'bec4d71b7c7995ed', '14cb8b8217e05c7b', '8bcb48e9d7748a8c', 'e816595b84559b3a', '67cd18bf2128ba76', 'afa9df1446e5df8e', 'd24dad7b6836ed3d', 'ae8dc35121d72fea', '327f2feba6b8f044', '30a135d3ff9582e9', 'e2def0f395897d80', 'bf5e568f2fd566c8', 'eb7be33912a30b4d']; context = [[9, 65], [21, 71], [158, 213], [126, 185], [8, 55], [126, 165], [34, 86], [6, 42], [12, 63], [32, 73], [72, 120], [82, 119], [79, 114], [13, 53], [21, 80], [28, 71]]; loss = 0.008646 low_pass_filter = 0.300
+Epoch 0: | | 19909/? [3:22:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 19910; scene = ['7024b0228507c606', '848119dcfcf03f9a', '8c027881f63dc6f3', '58b7ae257fbaf6a8', 'dfc00e500e9b07b5', '1490c145692a1899', '34c2a8d43980e026', '342ff7b7111b53c1', '834e851000651b8f', 'f243736d9fd3db47', 'd740337a85eb508f', '3f771cd05baf3191', '4994f79523443d28', 'a8f03ba94fba80b7', 'db7a639eb376d2bf', 'f9ba6c7965a9d01b']; context = [[49, 108], [28, 73], [123, 168], [29, 82], [25, 71], [12, 67], [169, 226], [56, 103], [5, 56], [18, 69], [21, 80], [30, 87], [45, 88], [73, 123], [61, 117], [77, 134]]; loss = 0.012297 low_pass_filter = 0.300
+Epoch 0: | | 19919/? [3:22:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=23.70, train/active_min_children_step=4.0train step 19920; scene = ['4898c8db920b9ac6', 'eec0eb22d6191fbb', '7472d8cddb4b57f2', 'e8de8997a5345b90', 'b7e4ff40776af958', '9a30d3c547f96fb3', '302517c267de5d24', 'ffa59b433b2648f7', 'ba3b89572ec36129', '31907a6ebec6ef2e', 'f1d926a3302e8534', 'a63ed71396ca3242', 'b60f8abb905bb1e1', 'b8bdfadb8f643024', '5e8442ca745fd217', 'c8e92789f25baec1']; context = [[41, 82], [220, 261], [21, 59], [23, 67], [80, 122], [35, 94], [159, 204], [195, 237], [38, 83], [55, 99], [154, 210], [8, 65], [73, 109], [14, 68], [3, 57], [143, 195]]; loss = 0.011387 low_pass_filter = 0.300
+Epoch 0: | | 19929/? [3:22:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 19930; scene = ['2c6974c8d0fd6426', '30256cd86380e985', 'aacf5d2fde59916f', '7a9685caea3ebaa7', '188b99642275e964', '00419dfa0b973e11', '0157cf2bdaa05486', 'c907383e19bd6b5b', '4138ec075d5e0fa8', 'f307d40c2056a111', 'a1bdb4b46cefa590', '46d0af2861fcfbe0', 'ec84ce0719717d39', '2de0cff7a63a8cce', '422a848d9b8e74ed', 'ce7a77654ed24cb3']; context = [[69, 110], [0, 49], [32, 86], [6, 53], [15, 66], [20, 59], [15, 50], [11, 47], [92, 138], [72, 122], [55, 105], [34, 81], [89, 134], [10, 57], [89, 130], [50, 94]]; loss = 0.011678 low_pass_filter = 0.300
+Epoch 0: | | 19939/? [3:23:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 19940; scene = ['a37fb46545b26cd2', '3e6a0e546092e5ce', 'ec5a3410978f01c4', '5aeea78290855b44', '3408234022293761', '1e543f770095bd2f', 'b511c88b16643809', '1546d04a6b9feb92', 'f67681804659fb89', '346e62ad09069013', '46aec7ec241892c7', '59220df676c7b430', 'f760b9c83e882756', '6fc73551f1244422', 'a1fad01a8c249fd3', '09adc9c073dcc81f']; context = [[31, 72], [0, 35], [40, 78], [37, 80], [25, 71], [12, 52], [19, 58], [182, 239], [31, 81], [121, 177], [25, 74], [19, 56], [8, 48], [0, 40], [150, 198], [123, 167]]; loss = 0.009772 low_pass_filter = 0.300
+Epoch 0: | | 19949/? [3:23:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 19950; scene = ['b9d775a543d2f100', '674af1e9c4cc9e06', '7781eb2ef392bc22', '15d9ab10d9e2c6b9', 'b546b62956ba47a8', '8bbd9f527f5b290a', '1400a54322d4bb6f', 'b19aa9f09dc75bcd', '231526021294c8a3', '59e2b5fe30f6f04f', '5afe72928b27eaf1', 'c6100bdecdbef80b', 'f70bb4d0420a0db8', 'e70318df450ef2d3', '09c65d81dc3077f9', 'a6e57377594a7a40']; context = [[11, 63], [145, 201], [46, 86], [36, 95], [6, 60], [8, 44], [153, 196], [7, 42], [8, 46], [206, 265], [6, 65], [24, 82], [69, 117], [10, 62], [16, 66], [30, 70]]; loss = 0.013260 low_pass_filter = 0.300
+Epoch 0: | | 19959/? [3:23:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 19960; scene = ['e85458f034fd2a07', 'a273c53ccc48f262', 'c0b57a0faa740fe3', 'b5bf6ea6e92669ef', 'ff3e826fadb9ecb1', 'eb3c751ec932aa1d', '5cc6cd5366cbbe2b', '8e17c90f00070f16', '0637e12cbe3bf018', '4f8a2a2eda771eb0', '889067f102772c85', '8847ec0cc3850701', '964b86c3822c6381', 'acb431ff8ce66742', 'eb490ca6a428e0e6', '752d39fb1c32fa3e']; context = [[156, 192], [131, 190], [13, 56], [10, 49], [62, 98], [2, 40], [106, 143], [25, 70], [14, 58], [6, 41], [207, 253], [3, 48], [32, 87], [13, 61], [15, 71], [4, 44]]; loss = 0.009323 low_pass_filter = 0.300
+Epoch 0: | | 19969/? [3:23:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 19970; scene = ['7567b089651c7646', '59b3c17420275035', '96714b3f3d968ade', '697f83e843f73081', '28d29dd6d33266d5', '4295bfc6ba13e9f8', '303b304d3a7f1741', 'ecd0d0bb2819ae9a', '07bfe0e0500de7eb', '87ffb21238d4c43b', 'cf705560e53638f7', 'c2e7607582fb8af4', '6c23d0b82faed662', '97db2dd2f407388e', '8c3f703203d7a3d5', '7b411e4c466f3a64']; context = [[16, 52], [0, 56], [50, 94], [28, 87], [14, 70], [94, 151], [29, 82], [22, 58], [0, 44], [79, 130], [7, 66], [1, 43], [234, 276], [37, 85], [4, 60], [105, 158]]; loss = 0.011137 low_pass_filter = 0.300
+Epoch 0: | | 19979/? [3:23:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 19980; scene = ['ede416a85b49ecf3', '7ca343c7d29b984b', 'be75bc0a2ba73990', '0bb6a72c60b3791c', 'afeaac19bebc10c7', 'f43f6c3aa827661d', '9fcde3fe23e549d8', 'f47277f7f51b6864', 'e095b406c6cbfb8b', 'fae7161bcb2e590d', '295f7411f92f09d9', 'a0326afa9415c8cb', 'd5dba29fb7878ed2', 'fea578cc66e55e82', '3a2d10fe0a31c3ef', 'a0ba9edd3ce2633b']; context = [[2, 50], [1, 46], [33, 90], [129, 186], [70, 106], [28, 72], [1, 45], [2, 48], [133, 180], [13, 48], [31, 71], [39, 98], [36, 71], [79, 127], [200, 249], [0, 37]]; loss = 0.009948 low_pass_filter = 0.300
+Epoch 0: | | 19989/? [3:23:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 19990; scene = ['bef3852ecab6980b', 'd78728ca5e6a3d20', '17d10f12b9a17023', '454d4c00527fcf0e', 'd713d22cd9d67c5d', 'c680b8bae58d6dca', '57826825f0963678', 'e98c5da727a44b15', '833c2edd626c81d5', '49cdc18c361f49a5', '00664b826ec082e8', '8e512604f4c371de', 'fac67aa77bcafd10', 'c474913aab1ebf5c', 'aa45fdff1cdb9838', '88486351f619919e']; context = [[38, 88], [6, 64], [1, 44], [19, 56], [1, 59], [7, 50], [3, 40], [146, 192], [33, 75], [9, 67], [132, 173], [182, 220], [23, 63], [6, 56], [8, 67], [15, 53]]; loss = 0.011847 low_pass_filter = 0.300
+Epoch 0: | | 19999/? [3:23:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 20000; scene = ['d6a17b44a2bbe185', '9f08547662d50ca7', '7e280a93383e4827', '508deca74f1d1a90', '04748bdf7ec98ec0', '53f93fe2b368ae6b', '7279c612c7891c8d', '9b68e8831852f60d', 'afbb6eb2dec560ad', 'c0f4f3288e64912f', '1edc85a2e96d99e7', '305d2e89064f2609', 'e1d9ade67e615bd8', 'fdbe9c444a760347', '287101ba74b12053', 'f8ca75c8aa649c3b']; context = [[0, 41], [27, 73], [62, 111], [170, 207], [13, 72], [5, 57], [143, 201], [85, 130], [29, 88], [20, 65], [0, 48], [8, 45], [4, 49], [53, 102], [14, 64], [10, 68]]; loss = 0.010112 low_pass_filter = 0.300
+Epoch 0: | | 20000/? [3:23:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0validation step 20000; scene = ['d7a7ddbaac9a3df2']; context = [[20, 72]]
+Epoch 0: | | 20009/? [3:23:45<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 20010; scene = ['6d3d022cd71a6c1b', 'e6510eaf44b146c7', 'd078b73e18eef725', 'e382b9bd1bb09aaf', '181442f5a6f77345', 'b33892623289ddd4', '91090a2c831fba06', '20234c1500fd5d4b', 'a9f872f9c38cf538', '8b0b551bb5fc559f', '36b14dae8e014698', '773a3adcad1e1df5', 'd4db2b68a221357a', '83d958616822ae27', 'af61461e40b625da', '44c1d7d26fae31c6']; context = [[11, 69], [25, 66], [209, 246], [105, 160], [28, 69], [18, 66], [43, 79], [3, 61], [68, 103], [5, 49], [18, 64], [209, 244], [5, 48], [91, 143], [6, 65], [1, 43]]; loss = 0.009521 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 20019/? [3:23:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 20020; scene = ['4411a6eb5a900e40', 'adbfdd15bb9409f4', 'd6443c4840318df3', 'd60aaaf09b0efb55', 'c6d6e4afbfc319bb', '9c9608ac2ebd5912', 'b058c50b953c20d1', 'b9aea5da640d739a', '46a0fbe5394eecb2', '3af30156efa35d09', '2c44579a8bd9c108', 'c96e9925624ada42', '229fba45626acb41', 'e8f861465ba60d8e', '95db38a93027169e', '86238485ae316522']; context = [[11, 65], [27, 71], [18, 62], [24, 68], [10, 52], [72, 129], [68, 111], [206, 265], [0, 50], [20, 66], [13, 59], [97, 153], [51, 94], [5, 56], [5, 59], [31, 89]]; loss = 0.011480 low_pass_filter = 0.300
+Epoch 0: | | 20029/? [3:23:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 20030; scene = ['3facfcb00b8697dc', 'cc62a8c047cea639', 'ca9bea80d4e5bcdb', 'a8bb6bdd8e1832b0', '6075fb811d2794e2', 'ba6b9051d2f9ac9a', '04f4d235d970d694', '29d7ac3298d00f4d', '069539334170c1c9', '67d9a8ec0e4060db', 'd0920dbaced16c29', 'cf6bc43fbf8c8dd2', '16166f53500a5dc3', 'bf823878e0d74fc9', 'd09b82c6b4496a66', '07ff09ea4dfd63ce']; context = [[33, 68], [27, 82], [20, 73], [17, 70], [14, 50], [4, 61], [3, 50], [86, 122], [126, 185], [81, 135], [18, 66], [18, 55], [15, 74], [122, 164], [45, 81], [102, 140]]; loss = 0.012364 low_pass_filter = 0.300
+Epoch 0: | | 20039/? [3:24:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 20040; scene = ['600e0fb99c2b3817', 'db52871fc7ca0bfd', '6f4019062371b8fe', 'b14338773e321e61', 'ca62e7774f3d688b', '98d35dadb621cdd3', '46098a3607b75cd0', 'e4353269f69c4e0f', 'fe2250f23e91261e', '56f34e5d22caa2dd', 'f744455fc964a260', '036fdcef477396ee', '736a2b17f44a2c36', 'cc08397f41911501', '5ada0c55bc109cbd', '80e6fa6ebabd2b5b']; context = [[18, 60], [214, 261], [7, 50], [1, 59], [68, 105], [7, 56], [107, 142], [45, 83], [66, 110], [181, 227], [47, 103], [65, 108], [8, 59], [0, 35], [0, 39], [127, 175]]; loss = 0.011187 low_pass_filter = 0.300
+Epoch 0: | | 20049/? [3:24:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 20050; scene = ['b118cb6e30400e61', '8876364a9d69559e', '9f85e10629380769', '9c61596b022e98b7', 'da274c0e6e23f8ea', '0362bc618a029222', '7f8cd1f3c9acb8f8', '1250e0831ff05593', 'e3e252f0494ff061', '83496ae8367a6c96', 'c2b2d238f9214068', 'ed35350baa1d1fb2', '0d1c5e5e77dfc06b', '3c9ad99cce6558da', 'd4bd2dcc63c5ea54', 'f44a0546760ccdb6']; context = [[1, 42], [2, 50], [156, 209], [36, 77], [0, 50], [20, 79], [67, 102], [115, 161], [64, 102], [54, 92], [8, 57], [4, 41], [16, 71], [14, 70], [0, 53], [9, 60]]; loss = 0.012535 low_pass_filter = 0.300
+Epoch 0: | | 20059/? [3:24:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 20060; scene = ['2fe474f8e633fcae', 'a91843042087bd44', 'e686e219362ed1d1', '9a11535036e869fa', '7ef560e3c9ae96ea', '5dae4aa06fa6e450', '30ce8420831f89d7', 'aa28a8cd478c897f', 'fe4cc085e4b2ddd0', 'e73ec3116cc77547', '32936b5443076f5c', '5013ce0333bfd2cd', '1c0f40cd04838650', 'e6c1977d9abd484a', 'c28f5b0713ea8927', 'a4c42be1726162f2']; context = [[27, 83], [122, 178], [11, 65], [98, 142], [123, 160], [1, 38], [4, 59], [31, 82], [13, 60], [36, 73], [0, 56], [6, 53], [15, 55], [1, 37], [9, 47], [29, 65]]; loss = 0.009505 low_pass_filter = 0.300
+Epoch 0: | | 20069/? [3:24:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 20070; scene = ['e8e6ca08b21ace12', '1589e0b2e2f6bc28', '1a0b5e0311249585', '8f49666ea364c87f', '81b7da3eb2d6642d', 'b2ba6e81e399aa61', 'd100bb50d05c7d92', 'e26f48e491fe3476', '9b6f1ed8d2c66f6d', '5f5147941ede5f85', '5e8ece99efe2eb25', 'a352af29cd3f9b5d', 'd4359d470cc6a669', '533581de8e66b1c9', '9e93f8bfdab92af6', 'ff39c33e82c43f98']; context = [[179, 238], [39, 85], [5, 58], [130, 178], [69, 121], [0, 47], [77, 117], [109, 145], [22, 68], [150, 193], [8, 58], [63, 103], [16, 53], [20, 61], [31, 66], [15, 56]]; loss = 0.010570 low_pass_filter = 0.300
+Epoch 0: | | 20079/? [3:24:27<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 20080; scene = ['2317fbb490ffe046', '43c4db038bb72004', 'e003c7d69b73e632', '2e887f0103cfe378', '4c1dd38ae1e23da3', '033c76a9906e82b7', '42d7cffaa558535f', 'd2bf6442537983a2', '6864771ff3d5b8c9', '701faabd3c58ab57', '4b147fb33539c4b3', '60456fe57a0e6b46', 'b636c05273b23b17', 'f0f0bcc851a036ef', '668011916dfc9762', 'b2a571084dfde71d']; context = [[3, 47], [68, 116], [70, 121], [51, 92], [25, 67], [52, 100], [24, 83], [5, 58], [6, 48], [94, 141], [24, 72], [219, 256], [188, 229], [46, 84], [23, 58], [113, 156]]; loss = 0.008483 low_pass_filter = 0.300
+Epoch 0: | | 20089/? [3:24:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 20090; scene = ['f61f928ea81ba540', 'f9cc10023bf41280', '0f80349efadcafcc', '86127a9af654d2e4', '5049cee4405f0947', '7d30d61c78c62100', '9a627851326f1285', '490a8076c6258f22', 'c94cf15b6b2c0cbb', '9013b11d34b0ccfe', 'df66e69d5b28c954', '2b2dc9cd1a3408e0', '55ab1f69eca7f59e', 'a817b56dacef46b7', 'b8acc0dfb0bc4b1e', '4967b75401615e71']; context = [[37, 76], [15, 58], [96, 138], [12, 64], [3, 47], [32, 77], [78, 132], [40, 83], [4, 44], [23, 63], [5, 58], [70, 124], [123, 181], [3, 44], [21, 70], [2, 60]]; loss = 0.010046 low_pass_filter = 0.300
+Epoch 0: | | 20099/? [3:24:39<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 20100; scene = ['9c99ea6fb0609c14', 'edcdfad297756b43', '65f32069136de1be', 'd79b084da2f40032', '983944b4dd64677d', 'c6ddb4bd6ef6f42c', '27b292f550476cb1', 'd476c136d6fe6cd9', '8a11b9190b9c768c', '0e57d2d8655afebb', 'c2c54fc36968cda8', '979258bec9c70a3a', 'fea5962ba2801a13', 'cb737f7107cee760', 'b6e89f7809809f76', '9054ce433694ecb3']; context = [[42, 84], [89, 136], [135, 172], [3, 58], [23, 62], [33, 68], [126, 185], [33, 72], [7, 52], [28, 64], [15, 54], [99, 157], [90, 128], [79, 136], [0, 38], [117, 160]]; loss = 0.010685 low_pass_filter = 0.300
+Epoch 0: | | 20109/? [3:24:45<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 20110; scene = ['1270b643c052a421', 'c1d702f24b2f7bfd', '2cd702dc4fdef4a4', 'de561e02e852ac64', '89dbf48fc8772aae', '7d7b8d02fa56e811', '541275236e1e56fc', '4312d4f72401aa43', 'e7dfd4fc097e0d5a', 'ab7f018f21bef342', 'cd83136b559517cf', '642cf78c4fa0ef61', '542540d922d01209', 'cf4a0213f57bed85', 'ce418ca65922b5bc', '316afc5161bb6b7b']; context = [[116, 159], [10, 58], [54, 92], [182, 236], [141, 179], [176, 227], [6, 59], [0, 38], [82, 120], [8, 49], [13, 70], [3, 38], [7, 46], [84, 124], [55, 108], [121, 161]]; loss = 0.012104 low_pass_filter = 0.300
+Epoch 0: | | 20119/? [3:24:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 20120; scene = ['0140a870ef2c2828', '7254198da88530f3', 'a2231598b3becba5', 'a0eff2ed6dfc0743', 'a9b70dd896f7e8e9', 'b995a8f12125ac6a', 'ca6f03e8f08e0069', '1a76ad73eecd0b91', '15646b7173d4f18e', 'd78014308656fcca', '41c352f47d88eab4', 'e5c8b67170a5bba3', 'c80daac3b10f42f6', 'e67e76536d6b86f4', '43b0af4992345e28', 'ad09be69e08a8e3e']; context = [[112, 167], [10, 59], [55, 107], [6, 50], [71, 129], [17, 60], [2, 38], [13, 57], [7, 42], [48, 90], [11, 62], [99, 148], [10, 51], [46, 84], [2, 49], [92, 139]]; loss = 0.009084 low_pass_filter = 0.300
+Epoch 0: | | 20129/? [3:24:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 20130; scene = ['eecd754ee0bdbffa', '75a2928db20842a9', '8bfda6dd800bc537', '0df9433279ae82ed', '0264ca87939bdad8', '8c5631db3ddeeea6', '9cce8e627c0477c0', '6025e08ac83ecb9c', 'd4dbd82a6e8644b6', '0627e25459335cf2', 'be3aa9d65f0de1bd', '6a6c5a32f8f02bdb', '04f63588697b6364', '90d01e4b8ee39f77', '8db3a405c4842cd6', 'a0a17e9730912ca7']; context = [[5, 58], [39, 86], [0, 37], [141, 184], [18, 73], [10, 57], [0, 55], [1, 40], [49, 99], [24, 67], [43, 78], [47, 92], [231, 271], [41, 81], [218, 254], [0, 37]]; loss = 0.010880 low_pass_filter = 0.300
+Epoch 0: | | 20139/? [3:25:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 20140; scene = ['d77406fa7f3b9835', 'bd4700646e17b05f', 'e7502de958354176', '5d2603f337f55a8f', '7900bb6a5dfdbb71', '4bf31225bd69a6c2', '74b0451ee6b6e4e2', '1167e6a2323300e2', '107c1da31e57f630', 'c633ee306fd04085', '350d6a093aba92ff', '9cd867f121e491ae', '6b6ecd758a2161af', 'df03ba10b66f2473', '5e041af008e49e96', '6662695dfbebb0f0']; context = [[1, 44], [41, 84], [30, 85], [42, 78], [2, 53], [19, 64], [59, 113], [50, 90], [224, 261], [143, 194], [46, 83], [12, 48], [51, 87], [229, 264], [26, 68], [66, 117]]; loss = 0.010715 low_pass_filter = 0.300
+Epoch 0: | | 20149/? [3:25:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 20150; scene = ['4f85fe35e5fffe6b', 'f47a5658e4a6e838', '4caeaf8d27b8dc35', '446e2c9f02922ec6', '704056e57542887d', '9ca3da2b888903ab', '7f9fc192d813b6e0', 'cb44c69779b70207', '1e7a40e218244c8e', 'd61c0c4ab6c707b1', '1ad460e60839641a', '1a0bd5daf36cc951', '926d9f0514c9c5e8', 'd8fbfd6d2a652f47', 'fe50cfbbdd716600', '67bf61a416fb50db']; context = [[93, 151], [27, 76], [7, 55], [25, 70], [7, 43], [124, 164], [1, 44], [1, 37], [55, 102], [3, 42], [6, 52], [132, 173], [12, 70], [199, 256], [58, 108], [128, 175]]; loss = 0.011374 low_pass_filter = 0.300
+Epoch 0: | | 20159/? [3:25:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 20160; scene = ['7bd870f9b2a9a6f7', 'a52873b76bc23753', '4b4595fc1f5b6c16', '2a7e2f0d4cdc616f', 'fb24be782eb32285', '9afe6cdc099af409', 'dc7460e98b4f2f1f', '9241c3ab4b558671', 'fa56f3e15fc4eadf', 'd9dfd39cded81c04', 'bc521d4b43740651', 'e94371dfe35d248c', 'e21b4e75f77765c5', '8833a34d9a034495', 'd05247944f04d2fc', '687e1775ba2acdd4']; context = [[55, 103], [50, 96], [14, 50], [25, 63], [211, 265], [27, 64], [23, 58], [12, 57], [13, 66], [132, 189], [23, 73], [10, 55], [164, 211], [9, 58], [78, 126], [21, 80]]; loss = 0.010699 low_pass_filter = 0.300
+Epoch 0: | | 20169/? [3:25:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 20170; scene = ['4f07c7aeda6dfd54', '419b6989160e3606', '5ca47925cdd3c7ce', '5816deaba41a899d', '246a0bdee01d12f1', '82c4af6d697ddba5', '6dc6bdc8ea4b6034', '963389198f0d43c9', '28666c8512c4c8a4', '19a84a67a3a07e70', '06e13bbcd45d9b41', 'c8c8ce39dc4c58d0', 'a967ab2ced4b1bc4', '654d07e5521de19e', '4d35d640d775aea7', '6b19a5bb419f101f']; context = [[74, 126], [14, 68], [54, 92], [7, 56], [3, 51], [39, 78], [17, 70], [18, 62], [18, 71], [12, 61], [5, 41], [8, 62], [104, 158], [131, 170], [32, 76], [17, 64]]; loss = 0.011239 low_pass_filter = 0.300
+Epoch 0: | | 20179/? [3:25:27<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 20180; scene = ['f729e9559d43b363', 'cfa5770b4506e3f4', '680c110fec1cfd6f', 'c5f15655a223ac6c', 'f1af5a215bbc3f33', '2c6df89c1fb2b8fc', 'a7487544a702062e', 'ae8b9ebca8a85d7e', 'f8249602f2e057d8', 'f6150b6900398acf', 'e939f7ae5c1822f8', 'd251cc493cf50645', 'adc119d9d46d217f', '991d2cf2ac0c4e76', '7b14ccf9db4da2b2', '719ca54ffc1f65ca']; context = [[3, 46], [7, 51], [8, 62], [89, 124], [5, 54], [13, 62], [133, 170], [129, 164], [40, 85], [24, 72], [119, 172], [3, 50], [163, 216], [35, 93], [16, 64], [142, 177]]; loss = 0.011550 low_pass_filter = 0.300
+Epoch 0: | | 20189/? [3:25:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 20190; scene = ['7c710ef6368c4455', '9d4c14c422d92f43', '7a72da90f59e10b0', 'cd0fd8b0c6223804', '0132c785e29d4afb', '8f04ddfa3b4e7c25', 'a10eab118e2d8654', '287641eb154f6cce', '83e1a42fa8e4b9cb', '91e8bd693b1e76f5', 'deb61a82ce6f4cff', 'dea4dc2d8a2935cf', 'b1f32a7b0a8e25ce', 'b6509b872612bbbe', '83149280823506aa', '7529ef84b12cd05c']; context = [[83, 119], [142, 191], [60, 106], [28, 81], [26, 65], [44, 86], [91, 131], [2, 59], [27, 70], [15, 61], [11, 63], [53, 89], [104, 143], [218, 264], [4, 40], [95, 142]]; loss = 0.010043 low_pass_filter = 0.300
+Epoch 0: | | 20199/? [3:25:39<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 20200; scene = ['7fe66601858b37dd', '864d89232a34ffcd', '39e8cbb0f678f5e3', 'c1b5b7779a98027d', '63cedce5caa10d40', 'd4f9b7f5a436bc5e', '5c140178a8c1b76e', '181157826ea13ab5', 'bf48f07f09565e35', '9adc772b1760c9fd', '1042daa8f8fd2955', '658d5216501736d5', '41cf7931d87820c2', 'ff8115bfa598e4a3', '1c75685f0307f79d', '9e299e04b20c3f70']; context = [[160, 197], [37, 92], [19, 70], [5, 62], [26, 66], [125, 164], [15, 56], [0, 53], [190, 244], [19, 75], [22, 80], [80, 120], [74, 116], [33, 76], [42, 93], [82, 127]]; loss = 0.008970 low_pass_filter = 0.300
+Epoch 0: | | 20209/? [3:25:45<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 20210; scene = ['fd37077f26b2bd87', '6be432fd4ef65e77', '023e9c9e3f381121', 'b072428b6db26547', '971b496fff5cb3b1', '7e32519bb8c8a4f1', 'b21dab4d75b377e0', 'd16e693b39fee4f8', 'a8946be78cc27901', 'faf6c0d78caab665', '886cf71834c893e1', '04d9e3e49b653d3b', 'f3861d7b58487efa', 'dc541d55464d4055', '479e6171f5b44aab', 'b4f733d9be7b7182']; context = [[211, 268], [28, 82], [36, 95], [25, 62], [33, 80], [10, 67], [16, 71], [77, 115], [71, 113], [86, 141], [72, 121], [11, 60], [33, 68], [14, 71], [200, 247], [0, 51]]; loss = 0.012358 low_pass_filter = 0.300
+Epoch 0: | | 20219/? [3:25:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 20220; scene = ['93811e2babb269f8', '8b07d5cbddffc388', '3b69ef80fa685760', '40beb4ffba187851', 'bfd9cf9aafa2649f', '2997c820822d35fa', 'c01afd493729aede', 'beeeca1e5a21b7ec', '07db89bb67a7d95e', 'e8721dd467df39d8', '179fe929b342c292', '2316b4d8d41df4e5', 'f5cbf62c5cd3d71c', 'ca763356c13cda22', '44e3e8bf1a3ee95d', '172fccf6211f3546']; context = [[7, 57], [73, 124], [14, 55], [10, 58], [8, 58], [7, 44], [12, 51], [32, 77], [1, 57], [4, 57], [115, 154], [20, 62], [34, 69], [44, 80], [9, 64], [1, 41]]; loss = 0.011273 low_pass_filter = 0.300
+Epoch 0: | | 20229/? [3:25:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 20230; scene = ['4f7532c456da3acc', '2734378e18626d7a', '5fb40c3519777379', '3bc79c5d0bf9c88b', 'b05564e4b802c368', '8799a3d452838202', '419df3725ae6b251', '31e146de4abeff58', 'af22175268b0ce2f', '91d9a7051e5c44df', '690dbd2a050fc8b1', 'd53082142bd30277', 'c089e82911932fcd', 'bddd22a07ebe76eb', 'daa16a27a16f6c9f', 'e37b686fba91f36b']; context = [[38, 74], [16, 75], [28, 70], [11, 66], [10, 48], [82, 128], [17, 61], [49, 96], [3, 61], [0, 48], [12, 49], [110, 160], [67, 106], [87, 146], [95, 132], [49, 101]]; loss = 0.011779 low_pass_filter = 0.300
+Epoch 0: | | 20239/? [3:26:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 20240; scene = ['bfcbf333b49f18c6', 'fda1c7094e4c7aea', '3a7b5cc29e973477', 'f155a73f9c735fc0', '61fb19d88faf3727', '04cf42b492af5834', '59a755e113475d15', 'e67aba7b8bf42f3a', '1b85a629e75682d6', '999340d07b3c1f01', '5dd18bd3aecc231e', '40e9ec6b7a21c085', '4e67fc174708df14', '2b4f1b4f81af6d3a', '45808a247b33e98d', '88fc713296fff1ba']; context = [[66, 116], [0, 38], [90, 138], [14, 68], [13, 70], [14, 57], [2, 42], [224, 278], [137, 181], [0, 44], [20, 69], [65, 125], [20, 72], [7, 45], [132, 177], [19, 70]]; loss = 0.011634 low_pass_filter = 0.300
+Epoch 0: | | 20249/? [3:26:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 20250; scene = ['de95779cdbeaa19a', '9c595a0f46169c48', '8e4f26e204962462', '776f9105ae37722c', '785b34dd2c077fad', '1f0353d32c568894', '53700a49e8dbf513', 'fe85b3be4adb42aa', 'adf73db30b5dc7ff', 'd516ec3d191a3e16', '0e1d3e59eb57c68a', '09cf1e30423647ae', '3f0528f2b55ab8eb', 'b06c5aa13f090e60', '253153df3fdc6a09', '3ebd8daae5562547']; context = [[39, 96], [9, 55], [0, 41], [38, 98], [36, 94], [4, 47], [73, 126], [2, 53], [152, 190], [116, 175], [100, 137], [88, 128], [88, 134], [66, 124], [21, 56], [25, 69]]; loss = 0.009428 low_pass_filter = 0.300
+Epoch 0: | | 20259/? [3:26:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 20260; scene = ['42bf466eb53eb628', '9212687eedee9127', 'fcd85dc0996790c4', '7c276e875b3fa027', 'e161232ffdc99b89', '8b3f5f7e9edd3d7b', '2687eeb202adae47', 'c7f53e68982d0bc2', '12310e5bf841a4c8', '85b4a5fffd9dddcb', '2037d4aa4065bd1a', 'eb8e09fe06c88ef0', '635320fbf02d95a5', 'aaa438a286926797', 'ade76d3a60591534', '632b29939a5f9e22']; context = [[9, 47], [166, 205], [17, 66], [148, 184], [188, 241], [92, 148], [191, 235], [53, 88], [53, 93], [171, 229], [14, 69], [5, 42], [10, 66], [23, 69], [65, 101], [57, 92]]; loss = 0.008788 low_pass_filter = 0.300
+Epoch 0: | | 20269/? [3:26:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 20270; scene = ['d6211fae193ad931', '0a11dd9556fc99b0', '88c708a41a1fb05d', 'c35caeecb39384c1', '0f819dc526c6789d', 'edaf19c032358e0d', 'ef4a031cc59eba0c', 'd9641b3f6ca0b13d', '6db959f1787dd868', 'd2086a2d8ce2a6fe', 'f5931cc439781222', '9f622f50132c1efe', '0d4ae3101bbba58d', '1ebafcd97626e04a', 'd9046310390dcaf3', 'a33629c64ce117d4']; context = [[180, 225], [42, 88], [4, 54], [65, 121], [15, 61], [91, 151], [82, 118], [0, 44], [7, 63], [12, 69], [33, 92], [184, 223], [25, 84], [64, 99], [0, 38], [53, 95]]; loss = 0.010802 low_pass_filter = 0.300
+Epoch 0: | | 20279/? [3:26:27<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 20280; scene = ['417a1b0f11a38cb6', '9d87291c4517b496', 'c5067fed187ef5c0', '5014fb135ed72420', '93d6fe08c5fe3965', 'df87424ea7d30296', '0d00b18b284e51e2', '152bfa6dd2ed2d91', 'fef25b6e3dd7df54', 'dfab3206eb0221fe', '4b2f6642fc295553', 'bb7ebd1a4b790368', '5af820514cb6e04b', 'da00b7213105b4a8', '028130721962d51f', '7ccc290152046a71']; context = [[127, 175], [70, 126], [2, 40], [36, 78], [5, 40], [10, 46], [153, 205], [8, 50], [3, 56], [57, 96], [0, 54], [2, 41], [16, 61], [26, 64], [48, 95], [3, 40]]; loss = 0.008604 low_pass_filter = 0.300
+Epoch 0: | | 20289/? [3:26:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 20290; scene = ['1f6b10c1bfeab825', '56a0da3c4605e004', '83bf7f4e33c13400', '71ffb1e88c266788', '540cefc32a23b152', 'f353f0555d221d44', '0345af360bac9020', '699a3a31be12b40d', '12601c791bc30f82', 'dc6a613063a7f16a', '83a8808c79184009', '6f29c6e5920ebf58', '15076bf2743d9c16', 'b2af46dfc30a2b98', '6a6b21039f51a4d2', 'ac74ac4b166c0b87']; context = [[0, 46], [75, 134], [54, 113], [53, 90], [55, 105], [33, 81], [28, 85], [13, 68], [89, 129], [14, 73], [5, 48], [0, 37], [70, 107], [9, 69], [19, 74], [19, 74]]; loss = 0.011132 low_pass_filter = 0.300
+Epoch 0: | | 20299/? [3:26:39<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 20300; scene = ['8a77f5585ce5752f', '06a2001efeb03954', '0c915dbc5d322181', 'e7279e6ff17beb19', 'aff09937b9aceadd', '09084eaaea8410d0', '20376d6cd004dc85', '5aafb483348af165', '9b407dc89eb0d132', '06760519c5863518', '6deb6d851cbe8819', '3f3798b2d6189128', 'e5256348345ed524', '417990eccd6d0bbc', '3cd15943d0e0ab77', 'eabb7f7c8e4b4f15']; context = [[9, 63], [5, 45], [83, 136], [99, 148], [68, 124], [21, 59], [31, 75], [96, 144], [87, 146], [9, 56], [23, 73], [29, 72], [5, 45], [0, 43], [8, 52], [7, 62]]; loss = 0.008562 low_pass_filter = 0.300
+Epoch 0: | | 20309/? [3:26:45<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 20310; scene = ['5578bed0fb36c89c', '2f19a454ec1f7a71', 'e258e863df25ba2c', '405e78c705fa28fe', '2512655496873dd9', '06ad777bfa7631a4', '1fd3d6918b5f5e32', 'e82f04c31c257d70', '16e92460b0a30c1d', 'd2a261ff1f2f061c', '87a8b7a70aad40bf', 'f760f01e89c53799', '28c9e70c95461472', '0ff9bf7b8f816f21', 'b625745c894edff3', '2d7089ba8d2769aa']; context = [[72, 132], [26, 74], [28, 88], [5, 45], [145, 193], [70, 127], [13, 62], [15, 54], [41, 101], [13, 65], [102, 144], [13, 73], [24, 68], [6, 51], [49, 91], [25, 82]]; loss = 0.009694 low_pass_filter = 0.300
+Epoch 0: | | 20319/? [3:26:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 20320; scene = ['f1ac0dde0dbf8211', '622ab7cc0a735367', '7671960ab3e573fd', 'b1a1f230d848de42', '5bb3babdc48efe4a', '7a2844b5e0ca5120', '189366a33885235f', '4290b20ce8737842', '9818f405d4141244', 'd02ff663fe8c426b', '0a73ef739700242e', '9a54201f9e2fd9ea', '6c46572e24efcbad', 'bbce012515d4884d', '6a13585caa18b99d', '3b601d4d89307614']; context = [[213, 248], [7, 64], [15, 63], [25, 80], [62, 120], [101, 159], [83, 140], [20, 66], [205, 246], [5, 44], [34, 85], [5, 44], [41, 98], [42, 88], [40, 88], [101, 141]]; loss = 0.009520 low_pass_filter = 0.300
+Epoch 0: | | 20329/? [3:26:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 20330; scene = ['613c8ac8e1030890', 'b7b53829ba5730cc', '0492445f09a9bb4b', 'f21a7befa707b6bc', 'e209ce84271a5f43', 'd4ed01f3e0cf2c47', '9cf8e1b5c06a9275', 'c6aa24612a23dba2', '45aa7021f1864ed8', '9b7873876f84ad81', 'a797e66eee67e4d4', 'ecc71f65b80936ce', 'a75907c57ea65d77', '6f20563d957bd129', '92b06be9f462e68e', 'c6fa4e41f75c901c']; context = [[13, 69], [40, 77], [64, 102], [15, 66], [27, 68], [169, 227], [72, 128], [80, 126], [30, 74], [17, 72], [4, 41], [6, 64], [48, 83], [81, 134], [12, 63], [0, 49]]; loss = 0.009410 low_pass_filter = 0.300
+Epoch 0: | | 20339/? [3:27:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 20340; scene = ['1c23077bfac5fdfa', 'd98478061d8a24ef', '765cf0000db9cc0b', '73c530db1571a040', '3ac9999cdd9d2c26', 'e61566ae677446b3', '5355da26f7f618a1', '24d703f1d6b51f19', 'e5a7abc8fcb39e95', 'f9611b5d473cc69b', '2f2cb2d5c31f0930', '8e583ba05f91d104', 'a353c5323b7e0cb6', '65fcc745c824ba33', 'b12fb462071f1eec', '4cfeb43c09889585']; context = [[47, 97], [5, 61], [56, 99], [8, 68], [30, 82], [32, 68], [61, 116], [7, 67], [19, 61], [12, 69], [12, 64], [73, 113], [33, 89], [32, 69], [7, 64], [19, 68]]; loss = 0.010109 low_pass_filter = 0.300
+Epoch 0: | | 20349/? [3:27:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 20350; scene = ['62d410d4c07c6e22', '2e2d0271a792d57e', 'db3b613d2dda8b86', '0e9e8dd84bc136de', '7d8df2e4469efdc7', '76dae941ffcc3e94', 'f0f9dc20febf63c6', '76ee4ae91b2d6526', '1a0c841bd063b70b', '26e89c85acbd3466', '078b712f247875c4', '9cd0248a2fc79292', '6c19d5016a508e19', 'c6e44ba3f43d1c36', '682255e0c2142768', 'e4d1aee4602359f0']; context = [[145, 185], [152, 199], [2, 45], [32, 84], [0, 35], [115, 150], [82, 121], [198, 235], [2, 51], [28, 67], [9, 52], [27, 76], [19, 68], [33, 78], [15, 60], [86, 131]]; loss = 0.011626 low_pass_filter = 0.300
+Epoch 0: | | 20359/? [3:27:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 20360; scene = ['e3c8770275e00422', '2887b9c54db40b70', 'cd77ec37b5e7c71f', '68c3eca4d3b9ea9b', '8af3efa7ecdf2ad9', 'ff482cf78f80622e', '436084b37375841c', '823a3c23a9602137', 'dc985c4a47880777', '31fa2bf7905f868b', '55d50cd41993dcdd', 'a79f5277b84c117a', '8996564583eba183', 'fb223fa7ceb38163', '54a78ba08e260acd', '4802d4c827cac172']; context = [[151, 210], [52, 101], [4, 64], [2, 52], [42, 79], [21, 75], [13, 67], [31, 74], [12, 65], [192, 230], [0, 37], [23, 78], [7, 52], [216, 256], [41, 81], [0, 36]]; loss = 0.010967 low_pass_filter = 0.300
+Epoch 0: | | 20369/? [3:27:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 20370; scene = ['e806c8996c08edcf', 'b4129ddd2e8d9ffb', '72a9c61ce291388d', '35d21e2bd3e505be', '6bb5c60edea6cfbf', 'efbe907be10f9dc1', '42dbc601fe2ef235', '1c3978a2a10683ed', 'a539cdd0182bcc7b', 'a10c07334630554d', '9a7592ed3d928a81', '4ac2a29fadf3852d', 'ae094bfe89c83808', 'a377fc8d36db3a31', 'a420942935bbd6be', 'd9c82874e9d58447']; context = [[128, 186], [8, 45], [12, 70], [14, 71], [44, 85], [97, 133], [44, 84], [56, 102], [97, 152], [2, 38], [29, 69], [22, 72], [163, 200], [62, 115], [0, 36], [3, 38]]; loss = 0.012874 low_pass_filter = 0.300
+Epoch 0: | | 20379/? [3:27:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 20380; scene = ['fc801406b1f9db3f', 'a92ffea4cbb162e4', '697df23e9f5fb6f5', '95f88ab4932e5ee7', '2ed09de0e64ad059', '24ecfa7e5f8704ed', '0cbb0d17760c42ea', 'f4ec95a169f45f3d', 'ed0890096e714ae2', '951befbf4cb5a337', 'ffe2e1bf600650a7', '19b9269604b29207', 'c3c0b8f4afb34ffb', 'f5b8734a98679522', '7d4dee33e172c862', 'f6717c52d63c3123']; context = [[126, 186], [17, 54], [86, 141], [20, 63], [61, 96], [62, 98], [5, 59], [8, 47], [39, 93], [7, 58], [189, 243], [18, 59], [5, 56], [57, 94], [2, 38], [19, 54]]; loss = 0.013071 low_pass_filter = 0.300
+Epoch 0: | | 20389/? [3:27:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 20390; scene = ['0779daaad5fd0ef7', '6659caf3c70435ff', 'e6cfdadf048f70a1', 'f577eebf982cce4b', '5bf7d6ec6ffb19dd', 'c25b314716aa6b10', '692a87e2b7ebc8be', '2f311b2bbbeb5940', '2107f0bc2f004d1e', 'dee4ac1cafc21a46', '2ec872c96bbc4d3c', '532eb0e37a511234', '2c10672dcad0fc1d', 'c1388d6b637459cf', '24813fb67839f779', '8e5dd54e57122902']; context = [[30, 86], [38, 88], [54, 102], [3, 49], [72, 114], [50, 103], [30, 80], [43, 78], [11, 64], [211, 269], [159, 202], [112, 168], [191, 234], [3, 57], [148, 195], [24, 64]]; loss = 0.010438 low_pass_filter = 0.300
+Epoch 0: | | 20399/? [3:27:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 20400; scene = ['7c47ccd4d1a46ddb', 'b551de9f9957b4a1', '0502fde8917abbf5', '66152520d52aae96', '221324859434bdb2', 'f44601f68f76436f', '2dac470361510c78', '852d166ff2c05a58', 'e527d58188527d8f', 'f05909652b2704e8', 'bab59381c6649e73', '6b9377cf26f4ae6c', 'fcd85dc0996790c4', '85b4a5fffd9dddcb', '8b3f5f7e9edd3d7b', '9212687eedee9127']; context = [[44, 93], [73, 114], [35, 73], [19, 62], [29, 72], [19, 57], [5, 64], [13, 73], [12, 53], [70, 130], [3, 58], [1, 42], [34, 88], [135, 177], [50, 93], [183, 226]]; loss = 0.009915 low_pass_filter = 0.300
+Epoch 0: | | 20409/? [3:27:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 20410; scene = ['4be99782bb201a87', '3ca9f2ea058b7220', '17305b0b98053dee', '31f802c4d94b2a8c', '9cf1069fdc94c6dc', '7e5067f243e163c2', '6bc6bb0fd95a073d', '044269d00517f7d1', '6045126dfa31e121', '36cba4fb28af5f41', '9ce71811d7ef9514', '2aa4d612442242f1', '32980d0390e9d273', 'a65f2600585e4c08', '3cd8c5f222a29e8c', 'b480e474281f5335']; context = [[12, 58], [58, 107], [162, 213], [42, 86], [5, 59], [22, 79], [108, 146], [40, 93], [7, 57], [4, 45], [62, 119], [0, 40], [3, 41], [79, 118], [13, 64], [7, 66]]; loss = 0.011094 low_pass_filter = 0.300
+Epoch 0: | | 20419/? [3:27:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 20420; scene = ['71dd1a7180379d83', 'de9f2fe2fe21691c', 'ada0d0dd176ccfb8', '537c4db52b7845f9', '736a39818de2100b', '8f74fad88033f13b', 'e8540008e013e465', 'b21e80e1fb0edc79', '138faec3974e6959', 'dfca026ac8e6d5b4', '9746f30f65f4a89a', '4a2739ef8e91244d', '8d88fcbffb878e51', '08e0753965ce77fa', 'b9d021ee08c7e2a3', '24f85026de7868d8']; context = [[26, 68], [21, 79], [3, 39], [132, 178], [29, 85], [221, 266], [31, 75], [27, 74], [28, 67], [22, 67], [26, 74], [18, 56], [24, 67], [190, 242], [54, 109], [7, 51]]; loss = 0.013925 low_pass_filter = 0.300
+Epoch 0: | | 20429/? [3:27:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 20430; scene = ['62c2edc48b267fd5', '8a2120eb135875aa', '7a0cb96230343062', 'b8b0b7d8a4ed6978', '46ae6f33316dbb7c', '46feebcb8a06d358', '0377dda9f7523d84', 'fd8c20b69b905983', 'c5aed9e5140a93de', 'b3c1b70f6c68629b', '77ec536967a90c82', '7694f69099715be2', '8f504acbf63a2e05', '3a158a1cdbddebcc', '6dfe41d46d841142', '397e9da33cc41440']; context = [[27, 63], [78, 137], [62, 103], [3, 54], [46, 91], [62, 102], [26, 72], [7, 58], [68, 118], [10, 69], [76, 131], [8, 58], [105, 141], [11, 56], [4, 48], [50, 104]]; loss = 0.009570 low_pass_filter = 0.300
+Epoch 0: | | 20439/? [3:28:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 20440; scene = ['714eac3395b83c9c', 'ad665e1696399247', 'd3439c63b98e6e98', 'b43d7cef027afc33', '079f307b3dfeecc0', 'daff46a11293573f', '098bc6fb411f7981', '028a8615ae331a19', 'ad11aa745dc46abd', '3d24f9048d25a661', 'd66973b1bc0c0484', '1f7dcb3f225e0666', '2566f5987054867e', '836af3dd708e4317', 'dca7a60c2c74fef8', '95a7db506228984d']; context = [[73, 129], [7, 55], [52, 107], [15, 68], [28, 74], [2, 62], [143, 195], [1, 38], [33, 70], [37, 87], [35, 90], [84, 130], [44, 93], [0, 47], [46, 101], [115, 154]]; loss = 0.010540 low_pass_filter = 0.300
+Epoch 0: | | 20449/? [3:28:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 20450; scene = ['a11083d7abc86e30', '7e8e2c1ec16ca90a', '05f68f205088615a', '177ec27d1a094371', '65d52755ddf504a6', '67b48a8ef26faa69', '4466e384294450be', '23c52859f21f94ec', '52ff08cf915f9890', 'e82f58c638cf3f5e', '1672c494acdf9a51', 'e7bb9d4424f4363d', 'a9aa19912b72f767', '3b5f903cdb3d9583', '4e90b5a00ca1a323', 'fa7e7926abc78907']; context = [[8, 57], [22, 65], [23, 59], [6, 57], [78, 113], [35, 73], [2, 58], [70, 111], [23, 75], [71, 108], [25, 66], [31, 68], [43, 89], [176, 233], [10, 52], [5, 57]]; loss = 0.010452 low_pass_filter = 0.300
+Epoch 0: | | 20459/? [3:28:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 20460; scene = ['baccbb802cd0ad2d', '0f2b05a2206a3180', '6e5d2e5d7e398db5', '73aee8654106974f', '5474e6cd7ccd6d1a', '502774a6c8eb28ba', 'de60b627821c8594', '559f0251ff195a45', '60e0925e79a6c253', 'f5eb0f156e32645b', '36f89cf6ea6d7736', '0fe8e40f46e8d14e', 'e899e939dd9774e0', '9e9a9b3cc7ec467b', 'b49c78c13682e129', 'edc3089c382e7cb7']; context = [[165, 217], [24, 78], [5, 46], [175, 219], [31, 91], [24, 59], [37, 72], [10, 54], [110, 156], [94, 134], [51, 104], [10, 47], [138, 177], [9, 65], [2, 46], [65, 123]]; loss = 0.007817 low_pass_filter = 0.300
+Epoch 0: | | 20469/? [3:28:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 20470; scene = ['743fd8885643d3aa', 'b31b65628bc2a5ad', 'b08dd02f55c030c9', '689a2285be81da67', '8f5d7d23fd6b1e82', '9b663c4f43cd593a', '0f79891c783d6030', '6b5f5aaea390ff12', 'a134112256d679ba', '4277d8783b6a046a', '896854a5d7c5179b', '8ccc670b427d277a', '40c5311e3b3accef', '9af7c151a7ca6d00', 'ea334cb643e07603', '91599919681fac69']; context = [[9, 66], [6, 42], [233, 275], [7, 56], [12, 54], [51, 92], [10, 45], [51, 101], [21, 78], [24, 75], [4, 62], [1, 54], [7, 57], [107, 153], [3, 39], [79, 115]]; loss = 0.014094 low_pass_filter = 0.300
+Epoch 0: | | 20479/? [3:28:27<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 20480; scene = ['1df9284b9b3b08ec', 'cbb41882beb54a0f', 'dfd7cac24b2e6d3a', '70e9cedc1b651390', '43e95798af7d674d', 'ddb49149cb284d39', 'c5b2633bd3f5d7df', 'd1a73fa57779380a', '0e2e11032cffb1c0', 'fdb6fe07b7177854', 'de1cf9fef80fbf69', '7b0ef31a4906b4a4', 'e4a4b2fb769796c2', '01e5a931a368c08a', '56ab4d88ec3cac58', 'bd2f1a3acfaafaac']; context = [[20, 75], [81, 131], [0, 46], [7, 59], [109, 145], [0, 38], [208, 257], [37, 88], [7, 43], [223, 267], [125, 174], [81, 124], [123, 162], [72, 120], [0, 38], [1, 42]]; loss = 0.009950 low_pass_filter = 0.300
+Epoch 0: | | 20489/? [3:28:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 20490; scene = ['5d43b9855e67ae73', '3005b48849426b4b', 'c28da739900c2d33', '8da50607ce8939fb', '64f39dbc3a894720', 'f3efc40fa4af8766', '665a4bc0a88c7f78', '407fc4424dd55e49', '01620c1d8a552b67', '270e9e4628d75978', 'd116367068aa5d41', '1ed9c16e7e93fee2', '7b50ef84dd63921b', '893ee7f0458c8d38', '5cd769c6b0eaad60', '468a9aad34ae4f6b']; context = [[7, 48], [207, 247], [25, 65], [21, 81], [11, 65], [202, 256], [1, 46], [113, 163], [156, 215], [44, 100], [9, 52], [61, 101], [22, 58], [45, 88], [35, 73], [23, 71]]; loss = 0.013841 low_pass_filter = 0.300
+Epoch 0: | | 20499/? [3:28:39<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 20500; scene = ['dc5718571f3ddba1', 'bde3a7187db8eeac', '1576466bebb4c410', '06c175f6ee37879e', '0a5e96ad4f6c2778', 'c331d2d0a77cf732', '303f37c7b62f5795', 'e6ebaea853d7c5da', '48458995dd3a43e6', '5c9395533cb818c5', '2fd71c52854362b6', '3b2d3975d43291c0', '56eb73a8e5f30e59', '29b3050a9c0f3135', 'c533e77834773e25', 'ba72ce893179ae64']; context = [[72, 125], [1, 55], [5, 47], [40, 100], [6, 48], [9, 48], [165, 214], [68, 108], [0, 46], [5, 60], [59, 100], [22, 67], [83, 125], [50, 94], [41, 90], [83, 131]]; loss = 0.010700 low_pass_filter = 0.300
+Epoch 0: | | 20509/? [3:28:45<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 20510; scene = ['6e47696f41c1858e', '722e4ba528539677', '76cee683355ed86f', '3e65537ef0d28ef5', '5d208f960b52435d', 'e4d41618c44cfb3a', '5b011a5a3d233d7c', '11c0b81458353544', '72d4380bfe082bcb', 'baf50d5df6dc9369', '73eca94ce253856a', 'f5733786f370ff53', 'f4f09cc40c069423', '19a6008b9f6bdae3', '99d6035714f21d81', '617dca58ae288a19']; context = [[8, 68], [9, 48], [6, 48], [15, 56], [64, 116], [76, 131], [70, 129], [116, 174], [2, 44], [17, 61], [70, 125], [15, 57], [135, 190], [226, 269], [0, 40], [9, 69]]; loss = 0.009939 low_pass_filter = 0.300
+Epoch 0: | | 20519/? [3:28:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 20520; scene = ['a9f872f9c38cf538', 'e6510eaf44b146c7', '6d3d022cd71a6c1b', '20234c1500fd5d4b', '26b7958a9c2bfd74', 'b33892623289ddd4', 'b85dcc204b980cf1', 'b487e00442c5a8cb', 'af2a4edd9ee026e1', 'c4606cdb17012d6b', 'fd5e487892a58781', 'a91657eb1b53c0ee', '2e2232e88140794a', '14e19e579a9704ee', '901ffe30eed014c5', '51bfd3ee5c473481']; context = [[41, 78], [30, 68], [3, 56], [7, 66], [46, 102], [19, 79], [0, 44], [67, 109], [0, 54], [6, 66], [0, 43], [73, 113], [27, 87], [40, 77], [1, 61], [34, 80]]; loss = 0.009647 low_pass_filter = 0.300
+Epoch 0: | | 20529/? [3:28:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 20530; scene = ['a13d8d996ab50fd7', 'ea066e1485b1d986', '2fc448010ddf9c0d', 'fccff2648cce2404', '4bd1181d3d5cbe49', '89264e76e0901fb9', 'da90d7c66bea01e5', '5a2361e3f5e87672', '9927ea6cefc6d3ce', '92fc6b3fccfd274d', '2a15c529dc6ff2c0', '0e7656a39389616d', '965b54022afdb14f', 'f528636e1daa4cf1', 'e0c616483f73f8bb', 'cd4ded36b30a9d00']; context = [[3, 38], [68, 113], [39, 83], [88, 125], [54, 113], [179, 224], [89, 129], [35, 91], [78, 120], [2, 44], [97, 141], [16, 52], [34, 70], [160, 219], [2, 46], [211, 260]]; loss = 0.007566 low_pass_filter = 0.300
+Epoch 0: | | 20539/? [3:29:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 20540; scene = ['879178cfcd91fa71', 'f38c5ec3bf386a89', '21e93803e217a7f0', 'a5b7cbe82d53f7b2', '56a636deccdb09f3', 'e0f2adb45811eca4', '0099afa1d37142f4', '2dc02dcd60cd893f', '758770f2884e9a79', 'fbf253fca4a29e87', '301a38f13db800df', 'bd695f52931a2fc2', 'b0c532bf94eeb726', 'ea8d853b968e25b1', '8b9a04c6ae39cd63', '1808b1a7f1c93d66']; context = [[196, 239], [26, 82], [18, 57], [16, 73], [13, 72], [10, 57], [3, 61], [48, 89], [96, 151], [21, 73], [50, 100], [21, 57], [216, 272], [7, 45], [22, 73], [49, 90]]; loss = 0.011114 low_pass_filter = 0.300
+Epoch 0: | | 20549/? [3:29:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 20550; scene = ['c9cc84f82b5182d9', '29a5e76da0fe508e', '4f0e7c5b39da1ff1', 'f1970010dd9e1e01', '7bc459cf2cd73e6a', 'ec15da6be3f66c37', '37d9966442c8f4a2', '5713836bd1c52cbc', '2df3d9757cc88582', '78301054a4e470d3', '9ed566141bd48703', '57d04a4f8bc1955a', '2b9cbd635854b62e', '2589ba4f31031bd5', 'b281033b87f3c95e', '6587a582e70da65e']; context = [[64, 101], [3, 43], [196, 249], [13, 50], [1, 42], [47, 92], [113, 171], [1, 40], [2, 45], [85, 141], [12, 62], [0, 49], [4, 53], [42, 102], [5, 53], [2, 49]]; loss = 0.008931 low_pass_filter = 0.300
+Epoch 0: | | 20559/? [3:29:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 20560; scene = ['8744d594a6b6f3d1', '7ca70ebea20f9f0d', 'eb9c6d0de5a8d7b1', '9b7da6330793c183', '4b7052ebde7c2201', '1cdf0de0c057ee6c', '2c7204eaa40a2ee4', '7b9e86414a13f2b4', 'bd0875bb6d870093', '4ae2f7b21c9aa2a2', 'a16e5f24b9d33640', '0e9fa8ac3375dc4e', '2c1ad1b9acb721a5', 'cd04dfe6ae225536', '663b93fc3193d34a', 'd3f4e707073c529e']; context = [[16, 57], [30, 77], [6, 51], [36, 73], [84, 125], [42, 78], [5, 50], [81, 118], [142, 186], [143, 178], [16, 68], [8, 53], [146, 202], [11, 56], [8, 57], [158, 213]]; loss = 0.010680 low_pass_filter = 0.300
+Epoch 0: | | 20569/? [3:29:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 20570; scene = ['251522536184bbb1', 'f765a2b14a33fffe', '4085aff1753b53ac', 'c7f3ba9289f424d4', 'af96623802f4dddb', '9e3c6f6868453f09', '5129718570b4de96', 'fc91f4cded72d92e', '1d4f8bd46c960db8', '0849a021a3a51cb5', 'b934bb1208684110', 'ee7e466e2abafbd8', '38ee5223789f3393', '476d0a5c62620693', '595b5d5487aa350c', '282554ad95f2111f']; context = [[54, 91], [49, 94], [25, 65], [212, 259], [120, 169], [55, 94], [71, 124], [96, 145], [21, 56], [20, 76], [23, 83], [5, 46], [19, 72], [74, 121], [21, 66], [139, 188]]; loss = 0.009679 low_pass_filter = 0.300
+Epoch 0: | | 20579/? [3:29:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 20580; scene = ['c3120b358e2ef0eb', '796064d2460d5507', '87f1e7486245b241', '6331f61b2b475c41', '01780b64788acd12', '76a1d043e6afdeba', 'ca1b81698f4a3f71', '60402e68cb17d7ef', '57d7d5b1411bb483', 'a0860cfc351a422a', '6f18dd963f7b02bc', '3cb0a62af12e4bfe', '5b10dfb58100f4b2', 'c474b284195b708c', 'ef4927a8829c2ba3', '43728f475156cab6']; context = [[9, 56], [61, 111], [8, 54], [21, 57], [63, 117], [7, 47], [4, 45], [11, 55], [1, 40], [23, 66], [7, 61], [10, 60], [207, 242], [150, 206], [26, 84], [31, 75]]; loss = 0.009910 low_pass_filter = 0.300
+Epoch 0: | | 20589/? [3:29:32<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 20590; scene = ['758a63fb57e54b3e', '2a5ba4ced1bda07c', 'aa5e9a3df7061a58', '540bc85f7c1b643e', '11d0d75085bf9ce0', '88a6790c97629d07', 'c49dfdcdb8ec5967', '25a066a44d4fbfe2', 'ee308e09e3e799e5', '1b91d2fcbd0b384b', '665049a1c88afbac', '1f74fa521c9ed662', 'c70fbfe2ea94f606', '46f0491eb7365360', '6a140ea6d457efae', 'a02a9658551d219d']; context = [[24, 67], [1, 47], [20, 77], [38, 89], [87, 134], [12, 59], [110, 157], [21, 76], [22, 70], [22, 78], [39, 76], [11, 62], [16, 61], [3, 55], [12, 47], [15, 53]]; loss = 0.012717 low_pass_filter = 0.300
+Epoch 0: | | 20599/? [3:29:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 20600; scene = ['9219c0b67e0ea38a', 'e527185e42bfef1c', '9dbc40d2811387bb', '4163a3d6474b4086', '3f185e89d01dc9a5', 'e92288e233122713', '97a2da18d56a9288', '12a06166db48270d', 'dab8595201dc5eef', '918e44e4ed0ca4b6', 'be1b98bfac2059b2', '952a6c361259de70', '9577c2edbc9dc8e4', '0dd1e7a6cd5e571b', 'bc9a64096787007d', '933455a00b7e0575']; context = [[111, 167], [200, 249], [72, 117], [21, 59], [73, 113], [33, 79], [96, 135], [168, 204], [204, 248], [3, 49], [35, 93], [32, 75], [116, 157], [5, 62], [98, 151], [0, 37]]; loss = 0.013769 low_pass_filter = 0.300
+Epoch 0: | | 20609/? [3:29:45<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 20610; scene = ['4381e4d03da3a2dd', '7d546a90fbf298a4', 'fb5a80a778281287', '632ba2d80346eea2', '407f30b4e6d34dce', '094e66678ac96c82', '9890ffb19a34f7e5', '7b56c6bfe56e39ca', '85afb31e233b00c4', '48250b1284a72f1c', 'cdc6b6e9d8d362ad', 'db9124115898035c', '566c303cfa6a0077', '296e4f16f7e5ea18', '9b78476cb3a62f42', '3c7e6874294e63bb']; context = [[33, 88], [49, 100], [4, 58], [15, 75], [118, 153], [64, 116], [13, 68], [2, 40], [0, 50], [4, 44], [91, 128], [27, 76], [24, 60], [183, 242], [97, 153], [46, 96]]; loss = 0.008981 low_pass_filter = 0.300
+Epoch 0: | | 20619/? [3:29:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 20620; scene = ['52c8bb2604e9cd40', 'b36caadc03478bf2', 'ab41878f4d98b685', 'b0bcab24a4966810', '687fa81a5a3fbdb2', '21e2e9ad21492fc4', 'cb39619d392401f0', '5c2bcdae45b3b7c2', '77b9d40d5d9278bd', '03a8cb9065084812', '7bc72ab83e1ddcce', '9db5d6f52db8ebca', 'd67e551cfc3f6a4a', 'b0056fe2ed291425', '884815c3ec6119e5', 'b210d777c3b1b8db']; context = [[0, 44], [1, 37], [26, 72], [171, 216], [11, 71], [5, 49], [6, 47], [71, 130], [51, 93], [1, 44], [60, 112], [55, 104], [3, 41], [8, 67], [6, 43], [6, 62]]; loss = 0.008805 low_pass_filter = 0.300
+Epoch 0: | | 20629/? [3:29:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 20630; scene = ['ec921f15f6d56701', '6801c1bf5cbed2c2', 'ea9991a2c4066cd8', 'a29e4db4734cac27', 'c87c8f9c8b42399d', '23137b92a3535ce1', 'e4c7f0a3850195cd', 'c47c2dc65efa8de8', 'cfff66f23f588e47', '161da535e54d4c7e', 'b5780abd5251b9f4', '2eda4095e61dabeb', 'ed7cace48578d1eb', '2c675ba547c0302b', '6f23c44d00f39800', 'd10bb47f06304f51']; context = [[5, 55], [9, 61], [97, 152], [9, 47], [23, 80], [16, 64], [38, 80], [80, 125], [61, 98], [3, 60], [16, 52], [35, 74], [39, 87], [158, 215], [33, 68], [76, 115]]; loss = 0.008909 low_pass_filter = 0.300
+Epoch 0: | | 20639/? [3:30:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 20640; scene = ['3b7c67b6632b1c74', '983944b4dd64677d', 'c6ddb4bd6ef6f42c', 'edcdfad297756b43', '6eaadf5fbec73f84', '2dc423894c7a2477', '3bd410ee66af926f', 'fc51e91c6c72a836', 'e9f7e73140682cec', '5ae8045e46ff2e4d', '3d73a4433c9c369e', 'a50e58bbcc7d9f8b', '8f8972153ef58eb1', '0360812f602e4762', '6daafd4d74fa1162', 'e32cc05b2f418270']; context = [[104, 149], [10, 58], [37, 93], [95, 150], [51, 99], [12, 56], [2, 55], [58, 105], [191, 228], [83, 128], [0, 35], [72, 118], [25, 79], [34, 93], [29, 67], [5, 57]]; loss = 0.009905 low_pass_filter = 0.300
+Epoch 0: | | 20649/? [3:30:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 20650; scene = ['6e58ea1e0f80b318', '003977c5456b561e', '218e5769692aecdf', 'eda53024bf75d836', '4ed1f85c32d21a00', 'c75b763b30ccee6c', '73efaa26b1b16a5f', 'f58f30ebccd10394', '603cf62aff2f71c6', 'e12e9436f503e74a', '6875ed27156df45d', '4b94c03307031f70', '76f8be7e88d50aa4', '1646e50f202fc198', '23b04d76a35f8baf', 'a319d12dc917b425']; context = [[78, 132], [56, 106], [158, 195], [111, 154], [5, 56], [58, 113], [27, 77], [8, 56], [0, 39], [88, 135], [20, 66], [2, 49], [163, 217], [116, 176], [15, 60], [2, 38]]; loss = 0.008895 low_pass_filter = 0.300
+Epoch 0: | | 20659/? [3:30:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 20660; scene = ['f51001d4c9b1b026', '4a4c7ec072d5e873', 'c15c9a0f2ad3e52d', '5d128926c1792da9', 'e97df4a241db1eae', '9bdb078481fe6346', '8418904f8ae211a7', '8dece22e0e59e1eb', '0662222d7f246d7c', '45c50be0ced34217', 'dc1c3e901bbdd1b5', '7436657258d0cbb1', '61195575024c6cf4', '5ae2c32a2062fc64', '26b59e475b721b70', '8c704f417547a201']; context = [[4, 43], [2, 53], [35, 87], [116, 156], [71, 107], [20, 77], [27, 69], [11, 63], [9, 49], [1, 48], [1, 37], [118, 161], [102, 143], [13, 52], [86, 131], [0, 47]]; loss = 0.009160 low_pass_filter = 0.300
+Epoch 0: | | 20669/? [3:30:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 20670; scene = ['717355446e5fb6f1', '2760ce206d026a24', '0171fad21c2da68d', '569b4f2bbd5ca97d', 'e40c1441aec53a72', '695a744c7eb7c26e', 'ea7648c11d71d569', '1d0db89d39191516', 'fdd5a412245006ab', '8024a13b551c34cc', 'ccd70d500f2e2bc9', 'e6ec55219ebe382e', 'c83fa4955ce845b6', '8719fa7d74daa634', '99e513749f0aa3df', 'a100e3e5a44b9087']; context = [[159, 201], [31, 69], [19, 63], [161, 198], [54, 90], [47, 88], [1, 46], [45, 103], [126, 179], [34, 88], [5, 60], [1, 51], [79, 117], [36, 82], [0, 37], [9, 54]]; loss = 0.009812 low_pass_filter = 0.300
+Epoch 0: | | 20679/? [3:30:27<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 20680; scene = ['d0c12240702616a7', '79dca8946db32bbf', '97404df843f6f12a', 'c0d9b8245553ea43', '544a78b22bc4b00c', '4c500c935499b76c', '791154aeb41aebe5', '62705f8c22b2c80e', '12e365426a204bfe', 'e5d6c55082393e34', '15e37857ba740b8e', '9652388a27e34f6b', 'ea1b098bc21eb64b', '6db892e0d6deff33', '19fe6c6d41769856', '54f982f5c8b1115e']; context = [[17, 61], [18, 78], [1, 51], [56, 96], [43, 86], [9, 59], [24, 79], [56, 114], [2, 52], [11, 64], [32, 92], [17, 57], [30, 87], [0, 41], [13, 52], [32, 84]]; loss = 0.008854 low_pass_filter = 0.300
+Epoch 0: | | 20689/? [3:30:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 20690; scene = ['362f4c367cc1f9c2', '9f5c73121bfb63bc', '01c8b17d4f7866a2', '9e2bf052c201f18a', '1f8b98db36be71d3', '0b83cf4cfc094f50', '1e75467b50ed22fd', '24e6a7744c958836', 'b71007f2949391d2', '8a3aa041b2efadbf', 'f64f6c0399699bfd', '82b8c2cd30c09774', '8268a9a1ef78642c', '6e9ef6faaa0df4f3', 'fc0e32185a474aed', '7e33bb2341a764c8']; context = [[3, 62], [156, 208], [17, 67], [3, 57], [27, 86], [60, 97], [44, 88], [7, 59], [21, 68], [197, 256], [4, 49], [55, 104], [24, 77], [8, 67], [22, 62], [121, 178]]; loss = 0.012383 low_pass_filter = 0.300
+Epoch 0: | | 20699/? [3:30:39<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 20700; scene = ['7615cbc4ef6c7051', '164156530d3be634', '0d3951ef69a23501', '84e4301303b9ce99', '1d6bf47d6ecbd3ff', 'b6fd5a806aefc32b', '76a2e535fa91b6d0', '54bef213b59ea065', '08735c801ab7efb5', '635de60e1e23e3d5', '8fc22c613c72a02a', '3a7d29ec252c1ee6', 'ae9aad3603cc5392', '602079c1ebdb60bc', '370a312c8f5a41d8', '03cbfe24b3fba7ec']; context = [[108, 152], [153, 196], [125, 184], [20, 61], [19, 60], [23, 69], [98, 137], [3, 56], [203, 243], [22, 66], [140, 195], [191, 238], [12, 60], [2, 47], [2, 53], [54, 92]]; loss = 0.009400 low_pass_filter = 0.300
+Epoch 0: | | 20709/? [3:30:45<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 20710; scene = ['792d911391142939', 'a827ddb556a77ad3', '75db9374ceef7cc5', '88af879dddd8d56c', '09046388c5e7be46', '2ef80cd0a1af8f4b', 'c8f87aacce98756e', '703fec55ded7654a', '1cf552e14b79769d', 'ea3e0bbdfe22e669', '619ec1868bb4fff2', '4e40f715298ecfb3', 'c4b9605e3399e84a', 'fb8f11f3617a14c3', '6d8b6fac92ceecad', '5fc1aa4a0f9458f8']; context = [[18, 68], [191, 242], [147, 184], [11, 62], [5, 61], [40, 85], [162, 209], [65, 104], [38, 84], [9, 47], [96, 143], [31, 74], [200, 245], [14, 54], [178, 221], [19, 58]]; loss = 0.011950 low_pass_filter = 0.300
+Epoch 0: | | 20719/? [3:30:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 20720; scene = ['16eff43540f42046', '8fd4563fc4ad666b', 'a744fdc585769a4b', 'ed938b08f6cbd457', '9a53d1c17fe9886e', '1fce7101e702d0cb', 'f45617a9f8bc08fb', 'd84c201ca7c851ba', '54ba12e94df7b0b3', 'aeddde26e41705e6', '2a3597473f14714b', 'a2e7fa2af162af5a', '008e27f0941b96ed', '4062e3ed1635c229', '9cbb340d21814b02', '643691861a5043d1']; context = [[8, 64], [0, 39], [0, 46], [19, 68], [101, 144], [36, 95], [8, 60], [17, 69], [20, 60], [18, 74], [3, 62], [3, 52], [30, 66], [110, 154], [78, 121], [107, 156]]; loss = 0.011541 low_pass_filter = 0.300
+Epoch 0: | | 20729/? [3:30:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 20730; scene = ['5aac7a494a76897f', 'bdc3f978b0d3aa8f', '6e6c7e333db63ec2', 'e80016be3043dfa4', '3f7992e72a096099', '964a8c79fc153038', '0a597d7ed9f61b01', '907cc3fa5b4f274e', '996449def3195a22', 'f5eb784755120303', 'bdab4452012d21c4', '931bcc26be9e4a7b', '1dca0f5045f2747f', '4a8407cf03055f82', '10f3a6c725650d37', '8a6b6e80af9a77ac']; context = [[53, 93], [16, 71], [102, 147], [109, 161], [64, 107], [80, 132], [63, 120], [56, 92], [21, 60], [7, 54], [66, 113], [17, 61], [25, 66], [0, 36], [5, 54], [1, 37]]; loss = 0.013189 low_pass_filter = 0.300
+Epoch 0: | | 20739/? [3:31:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 20740; scene = ['dc27bfb429117ad9', '8e98b21ea7f84509', '86920e8a33bf80ca', 'e5bb63fb3c7ccacb', '892d7a83c3b9e98b', 'ccc977a72ce800e1', 'cd6c74ea0440e539', '298b67257e341328', 'fc7ddeeba1b5ae54', '5b458ff356ffb1a3', '03815eea8ca6177d', '60a97b36cd3bb5a8', 'aef0399ef65f8220', '058e963a20fc1e3b', '56dfa6b3aac18a3f', 'ecfb5f52660e0c0b']; context = [[17, 71], [31, 87], [35, 83], [7, 50], [36, 87], [15, 67], [4, 54], [1, 57], [1, 56], [61, 121], [68, 121], [109, 156], [13, 55], [48, 85], [160, 211], [116, 155]]; loss = 0.009623 low_pass_filter = 0.300
+Epoch 0: | | 20749/? [3:31:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 20750; scene = ['f3f4f9da9acefa67', '32fa2f64dfaacf21', 'aa2175c8bffe8ad9', 'e1bfe1e13278c747', '79a0e8398b6a1cc1', '5e494fb5e1e7b29a', '7418314e76240536', 'b14f5a683aba2898', '210c21e8248a76f7', '5be06a710f3fe6f2', 'dd811aac95fe2a28', '9f06cf0ba2ddd1c1', '99953a73e02cf657', 'abf2a931ab2f7dd3', 'c909ee156ba46890', '09fef1964d67a64e']; context = [[24, 64], [42, 87], [153, 202], [74, 131], [73, 112], [130, 182], [112, 162], [76, 116], [5, 49], [128, 174], [71, 118], [9, 46], [76, 133], [29, 78], [52, 103], [41, 84]]; loss = 0.008458 low_pass_filter = 0.300
+Epoch 0: | | 20759/? [3:31:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 20760; scene = ['627d8b1a65c08482', '810f5259de1dcd97', '83b4e000823a3d5a', 'ac26f59587002d73', 'a032cb170dcecafc', 'bac9ac17ee40a91e', '9c553c8d306581ae', '5dab864bd9c7d1ba', '1d6150419fe159b2', 'b1f4bd04727375ff', 'dff38aa5c1474f90', 'fc44874b30bf3288', '84a3c4bf31f6a66c', '99a5b8917c62c1b3', '72bc8ef5c2bab64c', '23c5fd8b2ee6b24e']; context = [[134, 180], [159, 219], [21, 70], [20, 65], [36, 78], [0, 58], [88, 124], [194, 252], [20, 56], [19, 79], [12, 69], [61, 118], [63, 104], [10, 59], [53, 102], [47, 84]]; loss = 0.010281 low_pass_filter = 0.300
+Epoch 0: | | 20769/? [3:31:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 20770; scene = ['bc514648b0938a1a', '48252dbf46e0db67', 'b82d41c62606a4ef', 'a53872924436b2ac', '6bc3f69c7c3566e1', 'f5c3d0dba0b71ff6', '0cb5d3ad6b3a52b8', '13729e96ff2f345a', '6de65618fef3a792', '7c925f53e1814ec2', '1e4c7b6e4016e7f2', 'beb3094ce331d774', '5bac748f6d427b67', '668921a5f8dc2216', '56bd38a5cce7b138', 'f5b968fca82ee130']; context = [[5, 64], [1, 48], [41, 78], [132, 169], [7, 47], [16, 56], [153, 201], [16, 64], [12, 54], [98, 140], [9, 57], [37, 95], [19, 59], [4, 62], [147, 203], [14, 65]]; loss = 0.009577 low_pass_filter = 0.300
+Epoch 0: | | 20779/? [3:31:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 20780; scene = ['cc95434574eb684b', 'b8dc72a859facb4b', '8a6f6565aa136bfd', '98765b730c2dec17', '49328b9c29331060', 'abe30f78eedbc519', '80c0d9e23ff5c4d0', '3700d0ae62ced4af', '564a8cb026ae12e1', '7813fb5636484cd3', '7ab30ef220195ce1', '9b7a094854896bc8', '14cf0c360a00550a', '8edc47d4d783fca2', 'ab5aadbe6d834fcd', 'd81177196427a1d8']; context = [[122, 172], [54, 100], [231, 277], [19, 60], [20, 60], [112, 153], [52, 90], [151, 210], [2, 56], [7, 65], [75, 128], [8, 61], [119, 156], [11, 55], [85, 127], [30, 72]]; loss = 0.009547 low_pass_filter = 0.300
+Epoch 0: | | 20789/? [3:31:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 20790; scene = ['6e25ea3aa9e34592', 'e545aecc18cfa501', 'bcb253cbb83f358c', 'fdbbfdb6c21f856f', 'db19784431c29cae', 'b467a362d1bb806e', 'e1488d5d2d21df06', '2f2c4bd219a3c52e', '5900d44f690b1ac8', '9f73234c746c169a', 'd1a3f6c04d4d3bed', 'feced30301b43ffd', 'e870602940137494', '3237356236c9ee91', '1b64868112b2ec1b', 'f564c7789e774725']; context = [[96, 138], [32, 70], [11, 47], [69, 121], [176, 227], [2, 56], [138, 179], [94, 140], [29, 75], [10, 60], [48, 85], [114, 164], [2, 46], [59, 99], [46, 91], [7, 45]]; loss = 0.012944 low_pass_filter = 0.300
+Epoch 0: | | 20799/? [3:31:39<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 20800; scene = ['d6ee3ebc80a203a8', '93f798863c448d60', '9e14e353fb17c4e1', '8aa1d2417ba6be10', 'b2c9cee716864312', 'ff4354d594705a1c', 'ae53a2036d3f5c8d', 'f006719508cebf7d', '73999b595d1e78fd', '3f689cfe96c92993', 'd1daa71bff94be5d', '02de2123b9edb672', '0a0b550ac417ed7f', 'ce94464d4c88de51', 'b6cf4496bb5499ef', '59b677ec8589742e']; context = [[1, 37], [21, 69], [1, 51], [20, 76], [91, 132], [0, 37], [239, 275], [36, 81], [74, 114], [95, 131], [33, 92], [4, 52], [92, 138], [69, 110], [117, 164], [7, 67]]; loss = 0.010374 low_pass_filter = 0.300
+Epoch 0: | | 20809/? [3:31:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 20810; scene = ['e10c950038324d86', '770592c5358fc310', '53140bcec95f837d', 'f62a96c564a818d4', '5a2d08475d3ab6f1', 'f2c878b47a10992e', '5b3f6854aaf0e059', '74c817ce28582a05', '81a145b9b7d64d8b', 'c4036a6e53239654', '809588a559d93335', '7869661322e8f6a8', 'f2613c70aa00b729', 'b043aa52d4a7b0db', '9d9920122fe5ad51', 'd382296fbffe5f30']; context = [[0, 48], [70, 111], [1, 41], [12, 48], [27, 66], [24, 71], [27, 68], [76, 119], [17, 65], [2, 44], [82, 131], [20, 75], [2, 59], [64, 117], [0, 46], [12, 53]]; loss = 0.011292 low_pass_filter = 0.300
+Epoch 0: | | 20819/? [3:31:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 20820; scene = ['207f58822ac86628', 'fa858bff135c195b', '6383b0ca64518455', 'ca7339faa02aadb0', '9fc7da7f2d71386d', '2e5338ad01391b6f', 'd1330eb904da306a', '128ddb0e3fbd0529', 'b38c90b77ef3ad91', 'ca030905abc41a54', 'c4d9221e93c2b12e', 'bd9691996bd5d929', 'b84a5c1e7734f562', 'da4560895069f239', 'dfa445fd1c795422', '31416904feb3adb2']; context = [[227, 269], [36, 92], [17, 75], [30, 78], [34, 91], [11, 50], [10, 52], [88, 137], [28, 64], [122, 172], [9, 65], [21, 75], [23, 74], [70, 108], [24, 83], [73, 123]]; loss = 0.009286 low_pass_filter = 0.300
+Epoch 0: | | 20829/? [3:31:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 20830; scene = ['cb2fe45b3eb7dc08', 'a7d424b37900c8fd', 'e6bd49192ab21f5d', '90c444ed7f565121', '86e922e5d4069d1e', 'b5d6c77bcf7cdf5e', '1122ec33e71d8934', '83da83241d5d812d', '23ac0a975e7e789a', '5f8c4fdda0cf8f5f', 'd78279228e96c9ff', '70e5b380ebde6240', '61669d0878ba137c', '0a5432cc8599a8f6', 'a8e59959de741791', 'a58eac36146df897']; context = [[23, 60], [76, 127], [23, 66], [28, 67], [21, 66], [38, 87], [26, 75], [36, 93], [3, 53], [34, 80], [149, 186], [2, 47], [2, 38], [24, 74], [15, 63], [32, 80]]; loss = 0.010346 low_pass_filter = 0.300
+Epoch 0: | | 20839/? [3:32:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 20840; scene = ['bcdb79a5ef8910f8', '5d3f4c9049fd06a9', 'afa2907dafdb4c8d', 'e82135c2c337329e', 'deef35baf87c12fa', '7efbe6dd93c4136c', '14fd40e09334b1ca', '4b2b30ddbaa7cb68', 'd2d57bc79a24b563', '05244e7bb6be731c', '5e39693ca59e8130', '35b17517c1bcd92f', 'd80f75c505582b17', '09084445f13c2ecd', '20eea6e0a91b2cd5', 'b212a26fcbd831b1']; context = [[0, 46], [55, 114], [59, 115], [200, 246], [18, 54], [17, 60], [28, 81], [1, 52], [26, 87], [46, 107], [8, 49], [132, 189], [42, 83], [23, 70], [63, 99], [0, 37]]; loss = 0.010836 low_pass_filter = 0.300
+Epoch 0: | | 20849/? [3:32:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 20850; scene = ['a34fd0bb1384384b', 'df21531dc06b63e3', '48e4327984b07710', '409fd2b33d0f048d', '7aaf40db40a224e9', '15ca4fd4acca4454', '7e13ee50ac165936', 'cdb3ab8c4d3cc875', 'cb68d683bc8bdf94', '0d18b707a0cf79f5', '9cc91556f912bcc6', 'd93c0548109d3b3d', 'f9dc01b7d2ef31b2', 'a40883cee3d7f428', 'd9ba9b4f5fedb65a', 'cd5d12eb760f6c25']; context = [[14, 52], [82, 118], [26, 72], [14, 60], [8, 45], [49, 90], [158, 202], [77, 124], [47, 100], [0, 36], [51, 102], [114, 156], [4, 65], [106, 165], [213, 274], [11, 51]]; loss = 0.009266 low_pass_filter = 0.300
+Epoch 0: | | 20859/? [3:32:14<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 20860; scene = ['136699691d5ac532', '30073241129f1b45', 'd1dd88cc2ddcf5b9', 'a122a08c01ee327e', 'e46b29fc12390c9b', '9aab81a10733d402', '5ee2d8b0a1718221', '670996a0c92e881c', 'f5488ccee2266a6e', '05bed79128a7bdcd', '4a7b8ecb8a4b6c8c', '09f50652cb821e5d', '0cd856b59586f55f', 'ca7b32d2ca5c8776', '496c7b6f41acbbbd', '41fdca291bbdd214']; context = [[14, 72], [19, 56], [31, 83], [41, 77], [72, 118], [46, 89], [0, 36], [1, 55], [0, 50], [18, 69], [31, 72], [17, 54], [120, 177], [56, 97], [35, 87], [21, 78]]; loss = 0.009757 low_pass_filter = 0.300
+Epoch 0: | | 20869/? [3:32:20<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 20870; scene = ['e2218bc3111b76d7', '31240f5e4b708132', 'a67e709b68b7163d', 'c3699518391f8907', '18aecc2e66ae3112', '48c804cdf23efb75', '6e5505414fd63528', '8dccacc5fe8bf81a', 'bdf562da5cc7475c', '5a9672017ab85918', '7e34a8e57c879465', '296063ceba643c07', '723f94d150ab09f2', 'e001eb724ddff2a8', '55b05c9caa5f4d52', '391a131b8a82e9d4']; context = [[37, 95], [52, 107], [61, 107], [19, 62], [54, 113], [105, 163], [7, 43], [19, 79], [28, 89], [43, 84], [23, 84], [133, 194], [181, 222], [55, 92], [14, 57], [230, 277]]; loss = 0.008860 low_pass_filter = 0.300
+Epoch 0: | | 20879/? [3:32:26<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 20880; scene = ['099e97edda52c612', '7703f6f3dd2f91ef', '426b421bb992651c', '003908a8fa818d50', 'e787931493aac604', 'bff44d297bad464f', '51f38ab4c2b552b7', '336f7018bed111ab', 'cef4168f6ec0b88f', '5cd7dd9635fbe7a3', '71783d872a2ffba3', '091fdc7a25e6f6bb', '55f1013e8571c494', '17d0ebb4232549dd', 'f36581e435eb92a5', '163b00dcf34c2a6e']; context = [[146, 192], [54, 92], [9, 62], [23, 63], [67, 110], [127, 172], [31, 76], [9, 53], [2, 52], [22, 70], [8, 52], [170, 213], [3, 63], [172, 223], [0, 55], [19, 67]]; loss = 0.010326 low_pass_filter = 0.300
+Epoch 0: | | 20889/? [3:32:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 20890; scene = ['b51253be958023e5', '1962a33b9e18bc5f', '080b2ea0bee7c240', '3ab745b9c1e962c7', '5a53bd238e6eb769', '55671e2db4657b00', 'b4bbab891a72ff1f', '390c8df752d7b22e', 'baaba9c7644ef952', '05846e2bbc1ea5e0', '0edc9f32da048ddf', '756790007006f209', 'c4bfdf6f3a6c774d', '60f92bcb07109c4a', '25198f154d4b0b63', '388003e3d9297779']; context = [[70, 129], [103, 153], [1, 38], [130, 171], [127, 166], [43, 93], [6, 55], [31, 68], [232, 277], [50, 92], [82, 142], [6, 49], [12, 62], [1, 61], [115, 155], [39, 85]]; loss = 0.013310 low_pass_filter = 0.300
+Epoch 0: | | 20899/? [3:32:38<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 20900; scene = ['b8a22214c93484b4', '195fc11ccfc6373c', '8888284d5842e20d', '2558560e4ba11930', 'c57e6a4defebacff', 'c56fd76f9112e79c', 'f26265876d49f8eb', 'c58fe96a6470ade7', '783a62439d03c764', '2024b4f262746dd9', '9a5ec225cc655d4b', '1715b52a913b953a', '66871960d1c17672', '8c94caf12479d825', '625bfa26d60c3834', '9bec7da43de81cbf']; context = [[17, 73], [8, 49], [8, 46], [35, 71], [79, 120], [9, 47], [130, 173], [167, 206], [45, 90], [7, 47], [122, 167], [12, 53], [4, 44], [81, 129], [50, 101], [0, 43]]; loss = 0.012026 low_pass_filter = 0.300
+Epoch 0: | | 20909/? [3:32:44<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 20910; scene = ['3059143db5001bd6', '3adf82596ecefb0a', 'db74b5eb51b2ed26', '907ddb8b6f1f9c48', 'c9c58ce3d3304389', '5cb8558bd4aaf4d8', '2fed94c1168e0ade', 'b83186b9ac5de08c', '6ec4558fea67e2b1', '8e4365b878891659', 'bb4d90f443abcd12', '11061a6e3453b00f', 'b4e6410249f6a75b', 'a47fa740e18e872a', 'f07e1cea8ac5ce94', '2bf0ef87be3c8f31']; context = [[100, 143], [3, 49], [0, 41], [1, 49], [2, 58], [31, 81], [7, 64], [12, 69], [13, 50], [3, 42], [0, 42], [66, 124], [226, 265], [7, 49], [63, 115], [70, 122]]; loss = 0.010472 low_pass_filter = 0.300
+Epoch 0: | | 20919/? [3:32:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 20920; scene = ['1198c875e8b58d45', 'ef03ee83ae08d3ea', 'f3ed8d2562b3bb55', 'b6efb653209b341c', '5d09191618df4e27', '23317565a1d37489', '51723a3c78e7e420', '8377c3bbeb9beb34', 'c78fbc4042f91358', '8c491d4e4f409c56', 'b3ce0a1b64b915f9', '2ba622b78fc4569c', '149706425ea3666a', 'cfbb220575fb9b02', '550c91c247fed3a5', '66d22a164eb73a9b']; context = [[42, 86], [24, 83], [22, 66], [71, 123], [85, 126], [16, 61], [45, 92], [0, 36], [45, 89], [30, 77], [44, 82], [36, 75], [12, 67], [41, 77], [9, 51], [66, 126]]; loss = 0.009767 low_pass_filter = 0.300
+Epoch 0: | | 20929/? [3:32:56<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 20930; scene = ['26ab7013632ded77', '5c160981d97349b1', 'd9547a0401062a0c', '806a90bcf60f7e6c', 'f682063bfeb6c468', '4deb9a61dc7ddb3c', 'd1f1099b0a428268', 'e37711006fc617e8', 'dfcd88cbc69085a5', '55b75047aff4a672', '73ebb00a3b1e3910', 'c07f5a901c463eeb', '19620019eb955051', '76d3b403a85bddd3', 'f7022687381ffd22', '4518b1523df45a74']; context = [[79, 128], [7, 66], [47, 83], [94, 139], [16, 74], [29, 70], [3, 60], [5, 42], [1, 38], [17, 67], [31, 70], [25, 66], [5, 64], [50, 100], [142, 194], [99, 155]]; loss = 0.008960 low_pass_filter = 0.300
+Epoch 0: | | 20939/? [3:33:02<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 20940; scene = ['5eda0406a5e02452', 'f80301703d292a0b', 'c92ef5fbc5fa1ba2', 'de22770da73bbbf1', '32df185121315429', '6915a186168543b8', '07bf825918a85f50', '9b4023216c7798bd', 'f729fcce20f5e06f', 'c874ebccecfe6add', 'a61018020bd0c545', '42f231e9226b5764', '224f92dada695b8e', '70b1ccca2fbf002a', 'd5235962a9065594', 'cd415af73e3aefbe']; context = [[7, 66], [50, 97], [35, 83], [52, 102], [72, 125], [14, 50], [67, 106], [5, 43], [89, 147], [19, 76], [17, 70], [76, 125], [7, 62], [0, 36], [81, 118], [116, 158]]; loss = 0.010942 low_pass_filter = 0.300
+Epoch 0: | | 20949/? [3:33:08<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 20950; scene = ['b1c3a59a1ab3a0bc', 'ead8948883bfe2c4', 'd1f2f6605b45e92e', '4b6c22c6b4bfc460', 'a9c850ff04f98a7b', '5265d863c34ec86a', '020b1d941cb8e03a', '5d7e595f3cec8776', '97922c05a252718c', '30d346391c76430b', '1684d316bfca1c45', '6f8bb61cc8582fa8', '2ba4be20ff064320', '3a65f443bcc49c66', '758e56e8ea416b75', '819545645d5741a9']; context = [[19, 61], [42, 96], [83, 120], [194, 231], [3, 46], [165, 212], [61, 97], [45, 105], [98, 154], [4, 51], [38, 89], [0, 51], [34, 87], [40, 94], [130, 184], [19, 55]]; loss = 0.008155 low_pass_filter = 0.300
+Epoch 0: | | 20959/? [3:33:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 20960; scene = ['75a2928db20842a9', '4ddc1ef7aa04d8fc', '0627e25459335cf2', '6a6c5a32f8f02bdb', 'c0f4554c18a09b34', 'b63b97f07fbeaf24', '4a09a498e4e472ef', '30a737763bd2a911', '42fe750f91af0925', 'f81aac43ea74ff44', '7e048fb2e375b4d6', '1e53861f346b0f7c', '607224e86f068935', 'bec7b7bd2fa60eb3', '65d335b19bca4c2d', '85cc8a0d62c58ffe']; context = [[3, 64], [144, 180], [2, 42], [75, 119], [54, 102], [131, 187], [110, 162], [35, 81], [129, 171], [25, 62], [18, 60], [15, 62], [12, 53], [8, 63], [28, 86], [44, 85]]; loss = 0.010572 low_pass_filter = 0.300
+Epoch 0: | | 20969/? [3:33:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 20970; scene = ['a10052fb69f15ffc', 'c6cb7394690cc9e0', '4907375e0a4de10e', '09a0b9fe4c9b0691', 'd23794b5e86c3b7c', 'd33be1bdf678f485', '8708a0e8c937038f', '6c450e26a09407a4', '097b23d5ae2aa4de', '874678686325796e', 'c260842ca527acec', '9f4503d0d8742970', 'e228336cfbfcb179', '95a3ab26d547d0e2', 'ed4f2169411b4c39', 'ff606885fba519dc']; context = [[132, 184], [4, 52], [37, 73], [26, 62], [0, 41], [3, 46], [2, 41], [82, 139], [22, 76], [87, 132], [25, 66], [77, 128], [66, 123], [54, 94], [87, 138], [183, 225]]; loss = 0.008560 low_pass_filter = 0.300
+Epoch 0: | | 20979/? [3:33:27<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 20980; scene = ['b1f3e643fb405e5b', '51252022ddf74fb9', '7549b399afe41ed8', '04493f75414c6933', '0b82d6fdf7a104ad', '2431adcdd3aeeff3', '69bf6e0583b4603e', '6cee6d0abdf16185', '3c859adebfbf9648', 'a5ee1dc550e0afdb', '9c1ca75548ec6b8b', '036e3782aff4e532', 'a492d56927c30719', '4b2bfb703d9388ec', '20e75efc5d5dad23', '6c354e5ae8754e87']; context = [[211, 257], [2, 62], [33, 80], [16, 72], [84, 139], [36, 94], [76, 132], [8, 51], [21, 74], [12, 66], [50, 91], [1, 40], [45, 103], [44, 81], [75, 125], [5, 63]]; loss = 0.010071 low_pass_filter = 0.300
+Epoch 0: | | 20989/? [3:33:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 20990; scene = ['1b7de7185dbc301e', '74c9f05f838fafca', '60e8f97b17c76a05', '22f63765570b2ff2', '0051dfdcdc3050dc', 'd90a0c2adef1eb1a', '91e920e12316d84b', '43f3809e04ddf7f3', '3d38b2a666993c21', '0040ff89cd583609', 'b25e81d05bc408e0', 'b7019be1d94ff06c', 'a14c2b6e27ac98e7', 'bd2d0ac38c8907d7', 'ed0248c4aa06bbe2', '9f0597b818aa04fc']; context = [[29, 88], [6, 54], [175, 217], [36, 97], [16, 73], [162, 213], [76, 119], [3, 61], [2, 43], [199, 247], [5, 41], [129, 176], [0, 36], [4, 45], [111, 172], [37, 97]]; loss = 0.010102 low_pass_filter = 0.300
+Epoch 0: | | 20999/? [3:33:39<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 21000; scene = ['f1c5534a927740e6', 'd467c876debd93df', '589af20d18528628', 'a96f8969bb19b72a', '02215487bd135499', '662baee2147c22de', 'ea0002cb2f6fed38', 'aefd6880d19e9232', 'a0654f260935df3c', '8b141848a7d1d6ad', '8362b6b655cc9d6f', 'f6d0837b9aaa3b56', '160de455c93c4d42', '160fe18df3c3a5f7', '1230aea04da867ab', '394de4fa1d5fa237']; context = [[11, 61], [32, 71], [110, 166], [3, 39], [47, 90], [182, 223], [153, 214], [4, 58], [99, 156], [2, 43], [31, 70], [86, 137], [97, 138], [6, 50], [56, 93], [0, 49]]; loss = 0.011274 low_pass_filter = 0.300
+Epoch 0: | | 21000/? [3:33:39<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0validation step 21000; scene = ['b3954464d00ffcc5']; context = [[3, 59]]
+Epoch 0: | | 21009/? [3:33:46<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 21010; scene = ['930b8873d1fe60ae', '0b3621d34308d570', 'eb6ed96d7b06c526', 'eea0496248cf7724', '2289780f7fdb5091', 'e261a4726e8dbf08', '911ec6ade4d0709d', '35a67ce0f0a56dea', 'a069f40a4a017b66', 'e1ac0872443deb8b', 'd84929bfef3041a4', '86bfd95d15e6e77f', '7af8f06cde2e3206', 'd4d8b27aecb163b0', '59f3bc69c37fe460', '99f9a9b680b860e5']; context = [[92, 148], [92, 143], [18, 74], [13, 52], [80, 127], [8, 68], [3, 44], [1, 47], [129, 174], [49, 98], [0, 53], [2, 58], [30, 91], [8, 61], [222, 276], [40, 87]]; loss = 0.010204 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 21019/? [3:33:52<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 21020; scene = ['cd2e6f4d92d5d529', '98c650ab62b10ad3', 'ab5f18e74f1ddb8c', '100c4b1ba5f0f5a2', 'c96068ac4bae306c', 'ba00608cd351deb0', 'ee93d0c6e61bb08d', '32f1a97335017d58', '86270bfca57f93f8', 'ede232ddb1498db9', 'c6ebf1a0acc6844d', '013c0dd9d0f20a96', '4b6cbf1f4c87d918', '9b4d466924c40d8b', 'e5884780d0c4b903', '6e12e46a273ddb93']; context = [[6, 61], [31, 89], [20, 57], [37, 75], [4, 61], [133, 170], [176, 215], [44, 104], [14, 72], [5, 63], [58, 104], [28, 85], [52, 101], [13, 53], [41, 77], [41, 84]]; loss = 0.008396 low_pass_filter = 0.300
+Epoch 0: | | 21029/? [3:33:58<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 21030; scene = ['2dda31ef21375bcc', '0a797ebdda899242', 'fa77a863c2da0ea1', '8b3902074e71704e', '7989113a25b74a5a', 'd9e3fb32eda885be', '7fe21cc660012e7b', 'c6f4c3aa65a88c5f', '69c0ab37cd0b4038', 'c1c90a497313a731', 'b2b502239affc312', '9c9c480a9144cd77', 'bf281c3beca8dcda', 'a6c66d8633b83c04', 'c600946013eb81ff', '59ff88a8a2aab514']; context = [[2, 54], [112, 172], [74, 128], [7, 50], [35, 82], [5, 54], [64, 105], [227, 274], [1, 45], [35, 79], [54, 106], [41, 79], [13, 62], [1, 39], [71, 132], [19, 75]]; loss = 0.011456 low_pass_filter = 0.300
+Epoch 0: | | 21039/? [3:34:04<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 21040; scene = ['4dfd54f3098821dd', '8affa132fa270700', '251366dc002bf6c3', '955559418313af15', '742797055a67c950', 'fa6335a92d7faa48', 'f143d7c9ff7c1234', '20467fe97121072c', 'd14984609a8f3625', '22b12e74502378c7', '9beaf5d0ae3a7903', '68d1dfc42a46a73a', '62c6c5f93e65ccd8', '176f71a3cc338d8f', '3812f04df4ff98d4', '47c705d2d6d65b23']; context = [[4, 42], [18, 70], [35, 95], [180, 229], [3, 40], [129, 186], [11, 51], [51, 92], [2, 45], [0, 36], [14, 59], [72, 124], [71, 124], [37, 95], [46, 86], [4, 63]]; loss = 0.010316 low_pass_filter = 0.300
+Epoch 0: | | 21049/? [3:34:10<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 21050; scene = ['f84a8896b1ba14b8', '4dc1674146d1feb4', 'fdcc00c4d8310e3a', 'a37747c6526efa19', '407edd60b1d94ace', 'fb574aa41468e611', '0fbf74f0807a4caf', 'e1dbf381c5e6062f', '349adf5eb45ba3bb', 'a0d29e9989811e9f', '67c2294f74cf1042', '61d3b1c889816a08', '6d322c643d809c22', '3e965916afe80294', 'e5a301429b38dc20', 'f221667620ef606d']; context = [[1, 46], [140, 195], [142, 202], [18, 56], [213, 264], [163, 212], [148, 195], [140, 194], [0, 41], [38, 85], [2, 41], [14, 62], [70, 128], [1, 39], [24, 76], [31, 79]]; loss = 0.011717 low_pass_filter = 0.300
+Epoch 0: | | 21059/? [3:34:16<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 21060; scene = ['b6cfc2be371fe012', 'c21f6c67e7509e1c', '1e69c0ba9e7fb023', '9efb1558283915a3', 'ec667fb58c6d3a6c', '0dc7065a7b99d535', '3b0c6fee0faecce2', '63513ee2e5e74f65', '4bf8f4e620c27a0e', 'a2ef44aa7be20dd5', 'd56ac01183d2f244', 'ae8a16b195c2a28a', '41ba1a6b8d923830', 'cf7ae8e62157a6f5', 'b8f235ecb665c9be', 'f4c1819dbccb953b']; context = [[44, 89], [32, 74], [15, 75], [3, 39], [51, 91], [99, 156], [95, 151], [42, 84], [8, 69], [4, 44], [181, 222], [0, 36], [75, 114], [14, 54], [130, 183], [70, 112]]; loss = 0.010504 low_pass_filter = 0.300
+Epoch 0: | | 21069/? [3:34:22<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 21070; scene = ['4caaa1b6a8f126d2', '7d2632b33e628798', 'a01c0ec22a38536a', '53eb9bdb6a459713', 'e741fa80ebe93837', '19b52ddc2c0b41e0', '2cb2d8255676e654', '7a1781db0d9a2f70', 'a2fe0ee3e737c073', '3ff8fdd10bb511c5', '7a8d8426e0d1c1aa', '02cebccd52e7833b', '9467c3431e0e586c', '7bdad49548efe595', 'ddfe9ba63e6d372a', 'bcb68900df3fb3c7']; context = [[5, 60], [121, 171], [81, 127], [70, 109], [6, 54], [121, 177], [22, 66], [61, 100], [36, 85], [3, 43], [4, 64], [2, 48], [26, 83], [66, 122], [35, 83], [9, 70]]; loss = 0.009089 low_pass_filter = 0.300
+Epoch 0: | | 21079/? [3:34:28<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.0train step 21080; scene = ['b3b7e186efcf48f3', '3ac8f1175e70c73b', 'a4a5f77ac927b7b8', '4dab27a15daad726', '810b4b66938d5d60', '54d43c912e49cb3f', 'fa0b600ac32f3ed3', '4efbddebb2822355', '8f6adee2b5cc1d05', 'c17c8f9dca224201', '2a06f123c668d541', '335f19bbfc2309a9', '7bd8732d1c74a211', '3eb310e32a94a792', 'a09f165ba593ca2b', 'ed0246926d1a5f8b']; context = [[45, 94], [130, 181], [141, 190], [22, 59], [0, 50], [16, 55], [96, 137], [42, 81], [35, 85], [15, 59], [98, 139], [68, 108], [17, 56], [1, 58], [28, 89], [57, 102]]; loss = 0.011460 low_pass_filter = 0.300
+Epoch 0: | | 21089/? [3:34:34<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 21090; scene = ['3e6e41007d3aa646', 'a01ed892340b8f91', '30f3c5122980f223', '77feeb22ae67bb44', 'c915fd796ad7a439', 'a1d0953377697894', '4e5de1962e0dc852', '5525495e2e2170d0', '667ffb62ae2ac178', '4aefc4abf5184050', 'ea5ff365e3c72e1a', 'c7d468e8e326bc67', 'b1d8acd65ca26c50', '00c05c92f16e3a7f', 'a338bfd66be0c501', 'dc9e32ec34b058aa']; context = [[2, 54], [13, 63], [3, 51], [17, 65], [16, 58], [23, 59], [135, 172], [55, 92], [14, 53], [4, 46], [14, 73], [22, 69], [90, 146], [37, 76], [1, 60], [35, 94]]; loss = 0.011532 low_pass_filter = 0.300
+Epoch 0: | | 21099/? [3:34:40<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 21100; scene = ['a3a8f3fc21c11cad', '5116921541fb43df', '67b2f1c002c84aae', '0badcdd96a4c3fe5', '210b45452952e838', '2c9c8ea169ce0c04', 'ab78c56e9c5b6482', '177e02752605973a', '10ff4d2a82201191', 'f6524ab7935064b1', 'cc2a04f5173a1037', '5567dda0eb061dd7', 'e1923ba07570dd9e', 'c79c50b706239924', '45253de99a5c8714', 'fe263d56b953be62']; context = [[177, 219], [45, 105], [0, 57], [11, 59], [170, 210], [0, 37], [20, 71], [50, 95], [46, 104], [7, 54], [4, 55], [7, 68], [43, 80], [0, 37], [32, 71], [177, 213]]; loss = 0.012478 low_pass_filter = 0.300
+Epoch 0: | | 21109/? [3:34:46<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 21110; scene = ['95452f9250f1d10b', '249212a791d29e33', '3dcc546913f0f5a6', '26f9613bbfe4583d', '2a93af38bd81ae80', 'f63d2df8871ce70c', 'af4565fb713ed79f', '780656b1732d5e8c', '5a89880eb9996290', '8ad3918394be8d98', '106fa5a7ff2a8839', '380aa8c6d47a59a7', '1aa5fdc9ff855ee2', 'ba7019268cbd976c', '121b9ec6234a4cba', '1643b6a11a819f37']; context = [[25, 67], [83, 125], [0, 38], [11, 51], [51, 97], [0, 54], [24, 62], [171, 225], [74, 128], [81, 126], [59, 96], [46, 95], [1, 59], [98, 137], [6, 62], [9, 65]]; loss = 0.008900 low_pass_filter = 0.300
+Epoch 0: | | 21119/? [3:34:52<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 21120; scene = ['b617e22319a08f26', '2c0e2d48b3a9da07', 'fa5146a5114eeca3', 'a17c5f509a4519ad', '66327863e360188c', '71ee8313bc3a5b56', '557448602a800793', '8b1f2f89d58f3ffa', 'daaa366f6cfe1c6b', '74df0daf59313228', '8ef99dcc873d0615', '3dbac4de5b1e23c8', '7a3ea208dc507a42', '8203176c0fd8bfed', '2bac81068ebb0b09', '7648e09787b5ab2d']; context = [[116, 164], [186, 243], [103, 151], [0, 57], [12, 52], [24, 82], [1, 42], [44, 94], [78, 116], [37, 75], [17, 70], [132, 188], [11, 68], [125, 177], [1, 62], [21, 68]]; loss = 0.020528 low_pass_filter = 0.300
+Epoch 0: | | 21129/? [3:34:58<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 21130; scene = ['b34f9b04ada90787', 'dd811aac95fe2a28', '5be06a710f3fe6f2', '5e494fb5e1e7b29a', '9f06cf0ba2ddd1c1', '79a0e8398b6a1cc1', '99953a73e02cf657', '7418314e76240536', '210c21e8248a76f7', 'b14f5a683aba2898', 'dc99cb139204619f', 'd1d9e2a0e21a1a1c', '516c8c55994340c1', '2301bf4226984b79', '5dface4267be6f4b', '912649b3ee94f486']; context = [[1, 61], [94, 137], [195, 235], [38, 82], [3, 56], [118, 178], [116, 172], [188, 234], [66, 124], [37, 81], [7, 48], [28, 86], [114, 168], [16, 66], [3, 47], [155, 215]]; loss = 0.010737 low_pass_filter = 0.300
+Epoch 0: | | 21139/? [3:35:04<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 21140; scene = ['edfedbf216dffdf3', '8a307fdfce4832bf', 'ec1e22ee6784191a', 'cb2361e8fa21f3e6', 'd3faa50b5e4fbd6e', '9b318860f17dd778', '70addb57e49b4fa6', 'bd7b99bedcc90f02', 'aa1426eb9d35b816', 'b38df35ba9835cf0', '45061041e453e182', '05c1700c09437b52', '04db935b17a03775', 'e4284ea25d47d0e6', 'b7e386ba9ef4dac3', '4f31d4577d06a270']; context = [[1, 44], [76, 125], [83, 135], [5, 51], [21, 59], [97, 138], [10, 65], [2, 51], [20, 68], [44, 82], [132, 182], [113, 155], [22, 72], [136, 186], [105, 149], [1, 43]]; loss = 0.011219 low_pass_filter = 0.300
+Epoch 0: | | 21149/? [3:35:10<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 21150; scene = ['3053c34f9a88674d', '751987bed871acf5', 'd8981b5d48c6874a', 'b896589ac9f0519c', 'ffc3ee3799f598da', '0354ca9aaad69a18', '4ea9204e6a39cac1', 'a169d1eb79c6ef68', 'a84490f3e398adad', 'b667f148c3c3f676', '2d1fa96286992672', '5f29be3fbe5be1ea', '2c59a0d732f7a328', '62b96c0759cafb76', '8bc85fdaaf8e8473', '24fdad2594ac7d96']; context = [[108, 144], [4, 52], [119, 156], [9, 57], [3, 55], [31, 86], [157, 203], [4, 64], [15, 66], [8, 54], [27, 83], [5, 61], [38, 91], [30, 87], [70, 117], [118, 165]]; loss = 0.010184 low_pass_filter = 0.300
+Epoch 0: | | 21159/? [3:35:16<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 21160; scene = ['69bcf2ac9c8407d2', '5ccae548a56b2660', 'baebdb8ddcf2845e', '6ebab888069161eb', '6d6b7b3c93fa9c9d', '52b45b5c1577bab0', '420795d6a1a2af21', '2659ec816ec78ee5', 'e4c4750ddc1a58bc', '6e022744f8823ba4', '100c1419734fba67', 'cc8d60b67533bda7', '86cd3438e7d886c4', '13fc20c6d6d05c09', '11a2ff11b09706d3', '16567c3444d63d6c']; context = [[30, 76], [38, 98], [73, 120], [86, 147], [144, 186], [30, 82], [30, 81], [211, 259], [70, 125], [17, 64], [39, 98], [0, 58], [3, 41], [91, 142], [0, 56], [20, 63]]; loss = 0.011041 low_pass_filter = 0.300
+Epoch 0: | | 21169/? [3:35:22<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 21170; scene = ['f0a4a4cb065efa53', 'c44a4c1c3e9b3cc3', 'dfb8f1b208a8949f', '0db36affa33787b3', 'd823f528acb278ae', 'cd1d18dfeb3ffea6', 'ef3467589fd3709e', 'd7fd0247a853f44b', '965f0970da310cda', 'b3eddd9ecf75d2ea', '2ff7d3d179ff2ed0', '220133e56a34968b', 'dccef2390d0b6851', '795b958ce87d556a', 'ecbf048504e09969', '8624d94ced8a1d8e']; context = [[32, 75], [47, 94], [78, 127], [8, 57], [44, 100], [22, 73], [26, 68], [181, 222], [27, 70], [1, 41], [38, 84], [22, 81], [96, 153], [73, 120], [0, 51], [6, 59]]; loss = 0.007792 low_pass_filter = 0.300
+Epoch 0: | | 21179/? [3:35:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 21180; scene = ['3408995412c71eb3', 'c691beea7df05a40', 'fafa77e0610a59e4', 'aa1e963ae2f0a73a', '1d2da5cf4b75687a', 'f3ad8ae9b2a860ef', '1eb45f47b1509115', '15a3783a993e55a3', '5bab9e56ca2eabe0', 'e83dca98ff6fdc86', 'da782b30b0b6bc41', '3bd99b35d4566e6d', 'a4776e96ce74edc0', 'f82b6d49752b0776', 'dc0c9d0997f82183', '76f8c934d299d0aa']; context = [[24, 77], [175, 218], [20, 59], [0, 38], [6, 48], [2, 55], [31, 90], [90, 138], [9, 57], [51, 97], [2, 54], [1, 41], [17, 69], [31, 71], [121, 167], [79, 123]]; loss = 0.008839 low_pass_filter = 0.300
+Epoch 0: | | 21189/? [3:35:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 21190; scene = ['357b0a1d803c82ff', 'b733bb0772db7fed', '58b1d2b874df8f6c', '2cea12f37e8aff39', '3a76f3143a76e29c', '14cb2375e73a3bb2', 'dc4642c413a86efc', '1e77bbf67bedbe2a', '427f46e02cb986fe', 'ac28d515505f5fb5', '8b33508d134238c0', '3582975fa07270f3', '8c495b5341bc069d', 'a3fb8e5afd05a541', '0a8557008fd55c9d', '2db9f0491f5426e5']; context = [[42, 81], [31, 67], [6, 62], [15, 71], [111, 172], [44, 81], [34, 73], [1, 37], [0, 54], [1, 39], [59, 112], [20, 57], [0, 46], [9, 55], [43, 85], [2, 40]]; loss = 0.008862 low_pass_filter = 0.300
+Epoch 0: | | 21199/? [3:35:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 21200; scene = ['0c8ed42959e3baa1', '1a05eadb5bfe9298', 'a75d63654365b43c', '3ba13ddf102e36e1', 'b48dc4df6fb02f4b', 'cc4d298f4c09ac47', '9efccb0c776afbaa', '728c5f0905445ad8', '2278d80e7897dd5a', '4e6ba49f61d7c52a', '66c583ba78db2686', 'cf6618aadac4ddd9', '8b892aa99ab635fa', 'cc1a4a14236ea89a', 'ec09cd06976bb6ed', 'c7469d734caa6589']; context = [[39, 96], [6, 48], [150, 208], [9, 66], [25, 68], [43, 92], [2, 40], [80, 121], [9, 59], [11, 56], [17, 75], [83, 128], [118, 165], [48, 88], [2, 52], [33, 69]]; loss = 0.008677 low_pass_filter = 0.300
+Epoch 0: | | 21209/? [3:35:46<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 21210; scene = ['e898ad177bf5600a', '05d0fcfbe36d261f', '7ffd821c6ca83444', '120345336132cf1b', '7befac8bda5a40bb', '4e91a1e038ed07fb', '0872b2f13c69409a', '8bf67ed3d8a5a40c', '32322b4d2697fbe3', 'a8d7e9dd04d62e88', '28539816cac317fc', '86196d5ba4663859', '955a7c5bd2d51f1d', '11ed773aa2db9798', '6ff639afc2dc47a9', '24f22809ef5b7c6b']; context = [[158, 217], [43, 92], [27, 85], [120, 158], [154, 200], [57, 116], [26, 75], [53, 111], [6, 54], [44, 104], [21, 75], [42, 93], [14, 53], [189, 238], [3, 53], [93, 135]]; loss = 0.008772 low_pass_filter = 0.300
+Epoch 0: | | 21219/? [3:35:52<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 21220; scene = ['b2c3bbb92492ea30', 'c6e7d2560cc98ddf', 'e8d5d9efb11ec268', '8290c21ca69361ec', '941a34a5fe903815', '80ff240cf672bdac', 'f67ee51c76a6aa33', '250c4a4a83bfc356', 'a557bfdcbd9558f7', '547a595ec6671f74', '6bb71ae77f76b7ef', '6359caddc3e33c77', 'bbd22864c2c8c4e0', 'bae66b8175d11647', '4d2637e39b66f24e', '1d60c040046aab31']; context = [[95, 134], [1, 46], [41, 77], [62, 117], [18, 62], [0, 37], [9, 68], [2, 57], [19, 66], [14, 52], [27, 83], [3, 39], [73, 130], [6, 59], [0, 42], [67, 106]]; loss = 0.009203 low_pass_filter = 0.300
+Epoch 0: | | 21229/? [3:35:58<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 21230; scene = ['b814caa6ac18cac8', 'c39238964488b6c4', '96041496cf462c85', '94383a633887d7b1', 'e4b311b118cfb772', '7335179148d6e0c2', '03e1445429ae221f', 'c8ead779553c0bb2', '91cb408f09331728', 'b4dbe4441aad2bd8', '0f87b5b20e3140df', 'ac92cc602ac3cffd', '4fd60025fa875e4f', '8e87df9a5084ec87', '9191b2f74c5e2a97', '4a1a9c439eec4421']; context = [[12, 65], [115, 161], [61, 98], [29, 65], [214, 274], [2, 38], [0, 42], [37, 78], [14, 59], [47, 106], [37, 85], [0, 45], [25, 65], [48, 107], [50, 110], [40, 85]]; loss = 0.007815 low_pass_filter = 0.300
+Epoch 0: | | 21239/? [3:36:04<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 21240; scene = ['a9ca79ed8588a002', 'daaa71034676a92f', '84748b54ef68ebed', 'f1d1f2762f8c37fa', 'c519d78411b0cd89', '36aeba1abbc82939', '4cf65a1289e50ab6', 'aa3ecba2e35dc6b4', 'b488e28846b83d6e', 'da35cc9b10471676', '315f45e10716de12', '73691a68196265a6', '749172fb9b934474', 'b2c684cf937ba6c4', '452cde7ffeba4368', '6d12411b217f0b26']; context = [[42, 92], [28, 75], [34, 87], [1, 55], [15, 69], [0, 43], [115, 173], [12, 58], [21, 77], [58, 105], [7, 64], [88, 143], [0, 60], [74, 111], [4, 55], [4, 53]]; loss = 0.009928 low_pass_filter = 0.300
+Epoch 0: | | 21249/? [3:36:10<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 21250; scene = ['0cc3ceffb6ec9c37', '4f9022892bcbd383', 'a9f6bc6969653bc2', '9eb010e5e0fcaf41', 'fad770f517586475', '4a72bd1aef15ea48', 'e372c3adfad9f670', '00087de44e487f80', '44afbe117e79b0cf', '925e2ef503cbd738', '1d4b5d6f1f708dda', '1df5d60616bb1da2', '7ebcfa3f026cbe07', '130d19f9ec2f7235', '66b95ee15dfd4ea0', '9a8cd9d0c7314a95']; context = [[66, 106], [0, 36], [13, 66], [15, 55], [50, 105], [193, 232], [210, 256], [19, 57], [25, 83], [10, 54], [93, 150], [45, 99], [7, 68], [3, 64], [24, 76], [39, 80]]; loss = 0.008894 low_pass_filter = 0.300
+Epoch 0: | | 21259/? [3:36:16<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 21260; scene = ['7a3ec171d986c227', '903c0556273ddd04', '35502d38021916e4', '7e9dc66f967bda45', '110e8654d0595fa8', '94451d81f8e139cb', 'e00923b588e1ca61', 'c336b74e2c877b37', '38f562fb2b2ad4e0', '47c9630112006011', 'f6aed65bf9ebd5a9', '77d1f14fbdc4c65e', '4760844c0baec9fb', 'c51e726f22c1b2da', 'c94bb2dbaa678405', '4291eb01c594fcb2']; context = [[65, 107], [80, 132], [129, 167], [39, 83], [74, 135], [0, 55], [139, 187], [0, 49], [79, 140], [1, 40], [55, 95], [23, 59], [202, 251], [1, 53], [18, 68], [21, 68]]; loss = 0.008515 low_pass_filter = 0.300
+Epoch 0: | | 21269/? [3:36:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 21270; scene = ['54c2ffb9b031aa12', 'b03141d1d2429dcc', '930f0a917b4cfb3d', '2370a07a0d1e7930', 'cdd61981792b29b8', '8f8fd92008130071', 'f15ab5fa73a8b30f', 'cef967e6c2895c19', '06a2e5bec5c290ff', '0723036aaffa8c75', '4cff16e51b60bc1c', '844febece1121b36', 'ff26955ac80e19c3', '054deb949142152f', '3333b88b7b828755', '4aa5113cb53c2951']; context = [[95, 137], [80, 118], [0, 50], [46, 84], [6, 48], [3, 39], [45, 89], [215, 262], [69, 116], [57, 103], [135, 192], [1, 50], [24, 74], [0, 53], [3, 51], [159, 195]]; loss = 0.012423 low_pass_filter = 0.300
+Epoch 0: | | 21279/? [3:36:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 21280; scene = ['3f158594cbb7a77b', 'a8cbaa3a2cf23f3b', '7e7f5feb008dd9fb', 'da83ee87a69a3bf1', '5fc78da0b2bb89a5', '7032a676484c319b', '9232ef6ebf4bc047', '4fa9fd271ce7d88b', '34eec767c46f458d', '75b86a4e2efa0937', '451a1c207cfa9578', '64b0754b2dc4b71d', 'fede794659cac7d1', '20551c90baa98c3e', '3e6a362c565f1728', 'c1028e67d73c3504']; context = [[18, 54], [45, 100], [6, 44], [28, 66], [176, 232], [1, 54], [13, 64], [8, 46], [25, 74], [32, 76], [46, 107], [38, 97], [0, 44], [200, 254], [20, 78], [71, 125]]; loss = 0.010845 low_pass_filter = 0.300
+Epoch 0: | | 21289/? [3:36:34<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 21290; scene = ['f03ae27ded507fe3', '101a8cc8a0021ec3', '3d482adab376b844', 'eeab6fe931963753', 'e9d559d905f9e293', '42c42168f0fb01da', '3aa7b6c24c37a9a3', 'df8f7309507c4827', '9071525e59b0f5da', '4de8a7529e541417', '1c76055afe762ded', '3b21a07ae5de8202', '6e1c04ef3c6995a7', '03a58fa83025c7c5', '3fa8b5d99c8e3897', 'ddb6ccaebb0f6047']; context = [[11, 59], [4, 42], [5, 44], [11, 64], [44, 89], [1, 58], [5, 65], [0, 57], [84, 136], [12, 62], [1, 44], [62, 113], [3, 63], [9, 49], [7, 47], [9, 52]]; loss = 0.011705 low_pass_filter = 0.300
+Epoch 0: | | 21299/? [3:36:40<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 21300; scene = ['7abd2cf015e33118', 'aadfba62f23cd2d5', '67d059492bf13057', '7b7ad57e64ab318f', '95281743bb229945', '068d85c0b47f4628', '9e591049019c2996', 'd1543ce8abd3294c', 'b0acc39faf78464a', 'f1cfb383e8ffe58d', 'db0cf7e2f716f60e', '700759139479b40f', '9d37418a8797d12d', 'c21970a30701dfd5', 'd9069c7fde700fae', '3389d95fe43c8e5e']; context = [[126, 163], [18, 59], [189, 237], [30, 75], [67, 118], [34, 85], [54, 104], [23, 61], [60, 115], [42, 85], [51, 99], [154, 202], [8, 44], [15, 76], [56, 97], [18, 76]]; loss = 0.009991 low_pass_filter = 0.300
+Epoch 0: | | 21309/? [3:36:46<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 21310; scene = ['78f0f0a2f3f8b486', 'a168b9cb83649c5d', 'c613d873321c87c0', '08169229c028aebc', 'e76755f44544aff2', '9a05043c23516494', 'f3126c981b4e4874', '922b312f1b2be5fe', 'eee96125b14b7aab', 'b291bb89ef01171f', '459aa619d3066784', 'e9a6a38d1440dcb1', '30ffc95908cb9277', '904aa79c9222e00b', '01eb4536b5fd125d', '82d5dae301e9b703']; context = [[120, 168], [47, 87], [8, 49], [44, 97], [144, 198], [0, 39], [14, 70], [27, 66], [54, 91], [187, 240], [24, 76], [57, 105], [85, 140], [50, 108], [12, 50], [17, 78]]; loss = 0.011794 low_pass_filter = 0.300
+Epoch 0: | | 21319/? [3:36:53<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 21320; scene = ['7460f503eb18fa6a', 'b83b6d3d70390d31', '76a18d0254c0b9c2', '448fdbb3ff945d74', '33de72823ba5eabf', '61d39a97cb69d99f', '07cd1b67ada47264', '16963eaf7a052feb', 'ca0654a08cea1999', '9e6a9dbe050a1182', '6882e4590bb8ff85', '64dd4467e8084374', '36664e22fd10a141', 'f0a3586f86ff1419', '62fb64631e202247', 'd73f44859940e79a']; context = [[39, 78], [21, 69], [118, 157], [11, 56], [100, 144], [12, 53], [107, 162], [214, 255], [16, 66], [73, 125], [37, 85], [1, 43], [1, 59], [19, 69], [19, 65], [3, 45]]; loss = 0.010918 low_pass_filter = 0.300
+Epoch 0: | | 21329/? [3:36:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 21330; scene = ['fa5dc3f82887cfad', 'e1d7b52a30d60b2a', 'c09d7898ef37ba32', 'ebd8b74b0fd45d82', '117d1c9fd462963b', 'b20a4bb379340290', '177b664f6c8eef6b', 'f7dffb88e8919a7e', '0179a441837af0b9', 'f467ebdc9fa46707', '7001f2125bb0a274', '44f26d002b648c08', '4141f50192fca0a1', 'ad880359a06025b7', '34df4fbaef7d0f8e', '8c8885e9f17b9274']; context = [[100, 155], [213, 254], [31, 71], [6, 53], [11, 62], [14, 73], [17, 53], [109, 168], [209, 247], [50, 108], [19, 59], [53, 98], [49, 91], [9, 46], [0, 36], [30, 85]]; loss = 0.009481 low_pass_filter = 0.300
+Epoch 0: | | 21339/? [3:37:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 21340; scene = ['0d17e709818fb499', 'bccb2d322b8bd512', '068b869b3861f8fc', '1c75685f0307f79d', '7c7f933f82eef98f', 'cd60c1e602023a78', 'fc9f71327402e98d', '7aa14ec3129d58e2', '2edee3bc2b071498', '24f919db9f3b1445', '0fd39c0d034b543c', 'c1fe773fdeb1a972', '230ae34894c1c55e', 'b9c8b11a5063e930', '8f8d360604f220f7', '9fa595fa4e09943f']; context = [[65, 125], [23, 71], [1, 45], [75, 115], [0, 37], [25, 63], [10, 68], [116, 173], [0, 46], [58, 113], [26, 76], [27, 82], [14, 72], [83, 139], [124, 172], [3, 63]]; loss = 0.010569 low_pass_filter = 0.300
+Epoch 0: | | 21349/? [3:37:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 21350; scene = ['2721d4e119602b3d', '815fc179de449468', 'd00a6449d44d9822', '7b2f71462829b280', '2946089a31aa5810', 'ef29879c5829b95a', 'd33a9339f83571d1', 'd6211fae193ad931', '417c9606a7d23e1e', 'f2a78c5c272a3009', '67d8efc474193da2', 'a9661ea3b30c456f', '7b2603917973d2f5', '57859a70dfbd78d4', '0ce35beba18e98c5', '9900d32431eac9e6']; context = [[49, 85], [0, 45], [22, 71], [9, 50], [69, 110], [96, 152], [2, 60], [149, 206], [66, 115], [16, 74], [8, 65], [15, 64], [153, 212], [211, 270], [66, 116], [123, 160]]; loss = 0.010774 low_pass_filter = 0.300
+Epoch 0: | | 21359/? [3:37:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 21360; scene = ['4ce1f57f4f4511e1', '324471947ba558ab', '356b851ccc42bcf9', '9a3bca9be5b926ab', 'f69a10e45ff41f9c', 'e1627125e0d4301e', '607df4cb27b5f8ca', '1c2d33b30f3201f8', 'a58980998f8df20f', '5aca7006794b4c08', 'd55acb865cbef94b', 'd957aee02957a578', 'f7cbb66b48c9008e', '5979f56b953ff1cc', '1b29bfcdb2b14d83', '5258d714dbd81b7a']; context = [[62, 116], [13, 51], [41, 101], [15, 61], [152, 194], [19, 75], [23, 72], [47, 86], [35, 85], [26, 62], [117, 175], [5, 58], [7, 46], [57, 94], [4, 44], [10, 58]]; loss = 0.009710 low_pass_filter = 0.300
+Epoch 0: | | 21369/? [3:37:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 21370; scene = ['f36cf47d7433abf0', '7fd277e5b05ceba5', '683c4fe20bb08898', '46ef434380db311b', '2d028ca4f2b793c9', 'e847af48e0a4f411', 'edfe56997f23fd03', 'ac635718f0df20ce', '9dfc77c50a277b26', 'c2dfcf83569faa75', '37321c182e5bf3ed', 'a050ff56fbb4233a', 'd2a9abc9f488ab92', 'cbf4f24d31aacf75', 'c326a47d6f346e43', 'ee3aa9f733529ee4']; context = [[131, 188], [54, 95], [8, 50], [218, 273], [207, 253], [3, 52], [25, 76], [117, 175], [16, 72], [54, 103], [1, 62], [9, 52], [6, 45], [43, 96], [5, 63], [36, 76]]; loss = 0.011125 low_pass_filter = 0.300
+Epoch 0: | | 21379/? [3:37:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 21380; scene = ['03f786b8eb33e189', '66ca2e899ae0b7fa', 'd78cce7a4c0b9400', '4970e1f83ae82834', '6c3a059a4bb42347', '5f9e388efa364f74', '45a9f07df2162f72', 'a78020b5a2368473', '8c9aa1244d6b8737', '9aea9a519266134e', 'b220e8591b6048ba', 'c0b9d76884655dcd', 'f75e151b66f83348', '5e55f309753b5ce4', 'a90cd28742cee5e0', '3cbe6fe0f3f71e16']; context = [[63, 105], [60, 109], [19, 61], [92, 146], [28, 69], [20, 63], [50, 105], [28, 65], [24, 85], [64, 102], [57, 118], [0, 41], [49, 108], [28, 66], [11, 65], [22, 65]]; loss = 0.008768 low_pass_filter = 0.300
+Epoch 0: | | 21389/? [3:37:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 21390; scene = ['c1c5fff11944cfdf', 'eabe9e828d909849', '0f9643bbc676ee26', '6369c03b608f93e8', '11e8cf6f83a5c2c4', '6aa7f62a894832b3', '33a4f0b50fe45942', '7e57e05e1974ed8b', '9a94d16f8d2ef43c', '0c8c5b5b310995b7', '0ad1ec9588d9b83c', '1b1648bd70cb7c7f', '5fdf03b1ceb9135e', 'b3c17c4058b61df2', '8cd1b09ae767cbed', 'dda6eb6ec007ce39']; context = [[5, 41], [1, 57], [9, 58], [121, 163], [17, 73], [40, 83], [103, 144], [166, 221], [13, 58], [21, 76], [29, 88], [29, 90], [7, 48], [0, 51], [26, 63], [0, 41]]; loss = 0.010671 low_pass_filter = 0.300
+Epoch 0: | | 21399/? [3:37:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 21400; scene = ['05f2e4e62301ac6f', '769eac54952cb6d9', 'fdb40b75798904aa', 'e54270e8e039760a', '02f102fb7456ad49', '68b8b50bb5f5e3cf', '79d8736fdaabaa67', '45ba7b9c8d4697a1', '4789f20a91882ac2', '61ea027543aa0282', 'bf72ae628f0b24d8', 'd953c394eba189af', 'd101a39a319befa5', 'b2ce83d2be098fbc', '62ed93b209157a0e', 'c97d905b9b4be11b']; context = [[54, 113], [8, 64], [12, 58], [56, 114], [49, 106], [27, 89], [14, 66], [73, 135], [46, 97], [35, 83], [138, 194], [27, 69], [16, 57], [11, 66], [181, 237], [22, 79]]; loss = 0.010350 low_pass_filter = 0.300
+Epoch 0: | | 21409/? [3:37:47<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 21410; scene = ['9ef7e60ae9442a54', '43b6772d1f71154c', 'eb9d8eedd458413f', '0d8baf4928c7d7bb', '09e5d6b70f63b936', 'c40e2441c1abd305', 'd5616c51b75cea9e', 'c5ce4146d1b806f2', '5f488b72ead7bb74', '1a7204b603b0c765', 'd4fc4782d0b37d26', 'd05e005f82536372', 'a26f6e7deacaa157', 'f914acd76dc2439c', '2c79e7485cc28534', '21e72cbe7342ef40']; context = [[4, 53], [2, 54], [54, 110], [52, 104], [53, 93], [7, 64], [35, 88], [26, 76], [77, 131], [19, 62], [4, 50], [70, 109], [1, 61], [10, 64], [13, 54], [29, 83]]; loss = 0.009606 low_pass_filter = 0.300
+Epoch 0: | | 21419/? [3:37:53<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 21420; scene = ['6d322c643d809c22', 'a0d29e9989811e9f', '0fbf74f0807a4caf', '67c2294f74cf1042', 'e5a301429b38dc20', 'a37747c6526efa19', '3e965916afe80294', '349adf5eb45ba3bb', 'e1dbf381c5e6062f', '5b18716a0a11c1b3', '8ebbf8173feadc66', '19f6678bdf05a160', '5daf60c2889a7f27', 'bb8a5184b240c45d', '8449ce38df1d5159', '103ff72c7bde3074']; context = [[33, 77], [32, 87], [112, 174], [2, 46], [17, 78], [36, 76], [0, 39], [3, 40], [152, 206], [106, 163], [33, 89], [19, 63], [162, 213], [44, 85], [24, 78], [21, 78]]; loss = 0.009493 low_pass_filter = 0.300
+Epoch 0: | | 21429/? [3:37:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 21430; scene = ['737840feb893c837', '24bf940f1f32fd17', '6b5a51c67c4657b9', '0e430efe14f4b9e0', '71e42381b4ef3fdb', 'd02ff663fe8c426b', 'bbce012515d4884d', '6c46572e24efcbad', '9818f405d4141244', '7a2844b5e0ca5120', '4290b20ce8737842', '9a54201f9e2fd9ea', '189366a33885235f', '5bb3babdc48efe4a', '0a73ef739700242e', 'ed4eef359d0fbd35']; context = [[87, 127], [4, 49], [100, 152], [21, 77], [11, 51], [20, 71], [16, 74], [17, 53], [62, 123], [211, 269], [42, 99], [8, 67], [132, 172], [78, 139], [53, 95], [5, 55]]; loss = 0.011061 low_pass_filter = 0.300
+Epoch 0: | | 21439/? [3:38:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 21440; scene = ['3b1f9bdde0850925', '39f88cbb30ad5e3f', '39a2d85b6232fee7', 'b5ab1fc1af5f5665', '15c0e084366a0311', '11f155931a109e15', 'd4fc984a9a2dc78b', '5e6e341001a8b693', '95a6fae4dbeb6546', 'f4f0f0d4a554cfee', '3e29b2bd42f47e28', '3647ff5e90d6af43', '52079a38d11843c2', '264e8509690b1ea2', 'bb8a1e105ddf619e', 'b192a5f7772b70ec']; context = [[55, 108], [0, 40], [0, 42], [223, 274], [8, 51], [187, 248], [164, 224], [151, 201], [45, 86], [6, 46], [2, 40], [3, 54], [71, 125], [40, 91], [37, 82], [58, 103]]; loss = 0.010527 low_pass_filter = 0.300
+Epoch 0: | | 21449/? [3:38:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 21450; scene = ['3210b93b625ab01a', '8f0cbdab2a052481', '87c678cc46428072', '36f9057d4281450c', '2c92d1356e2db4b9', 'eea5ecf9f3e44ab1', 'ba900a3e66766a7a', '5ae181b7e72bbaf3', '39357cec4dfde0c4', '2eb7997ba431e752', 'd887ff15fda99b2e', '11b228589e3142d8', 'ae8b750581750b0c', '607434a621ce31a8', 'da7bc556e451a90b', '26bbe9550ed68e33']; context = [[62, 107], [81, 117], [1, 38], [97, 152], [9, 46], [23, 60], [28, 88], [1, 60], [19, 69], [1, 43], [28, 67], [52, 112], [44, 102], [84, 142], [106, 160], [18, 64]]; loss = 0.014196 low_pass_filter = 0.300
+Epoch 0: | | 21459/? [3:38:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 21460; scene = ['c957dbe9ee80ece1', '38f7386e936c3081', '8d6c0e07045f435f', 'cb6121df5bf759df', 'af16df876bd332c8', 'cd53364ead1ed07b', 'a44f967ae97ddedb', '796821d68a38422d', 'a52c8d3fdc9806f5', 'a1d908a4dd169770', 'a16de186055bceb7', '7dc5c394263df267', '3fc603b4c4531c11', '7efe572aca0b57ef', 'de0c2fd682eedb42', '1b585c8a5c9d0228']; context = [[5, 45], [159, 198], [23, 84], [18, 70], [41, 98], [58, 96], [3, 50], [52, 107], [26, 65], [7, 43], [1, 40], [20, 59], [79, 115], [58, 120], [44, 100], [4, 54]]; loss = 0.010320 low_pass_filter = 0.300
+Epoch 0: | | 21469/? [3:38:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 21470; scene = ['9e4ed17f5acf397f', '6c1206705158a4bd', '5b42c714b345da65', 'a39e4a70e09d8240', '978e3cf480d4f9a3', 'c494a2a9c1f9d2af', 'ee9c93086f82a626', '7ac2220e1acd3816', '23330a56f34fec23', '10ef289b28ab324e', 'a644bec298d08fd8', 'e3a011e739647f75', '070541f4d998a7f4', '472ea6a36fa2d883', '8732aa2851a261d8', 'bb4983029146d2bf']; context = [[19, 70], [41, 85], [28, 80], [14, 70], [9, 68], [4, 56], [0, 42], [1, 62], [57, 110], [10, 58], [49, 111], [11, 48], [31, 70], [46, 103], [4, 65], [18, 64]]; loss = 0.016017 low_pass_filter = 0.300
+Epoch 0: | | 21479/? [3:38:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 21480; scene = ['7b0443eefd68756f', 'ffda743d376dcde8', 'ff1a64808d8981a4', 'd62c060a62da110e', 'bf0755be50798d45', 'f24b2611ba45a2cf', '9ca80f3ebf759df0', 'b45e47d231088428', '2ed8d2b8c1159862', '241096ca94ccb259', 'c81095ff7cc7034b', '882fdfbe720a3236', 'd81116dc8c96547e', 'b74cd30ef141705d', '1b4d5f002f5af86c', 'cbe056c6fa310143']; context = [[32, 76], [3, 49], [21, 74], [2, 47], [53, 95], [43, 85], [2, 48], [15, 68], [9, 69], [106, 161], [38, 81], [80, 140], [95, 138], [21, 82], [0, 36], [25, 68]]; loss = 0.012460 low_pass_filter = 0.300
+Epoch 0: | | 21489/? [3:38:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 21490; scene = ['a6c866d1b23c3bf5', '9911e5bd5013874e', 'c6b9472bf055527a', '1f0ed2f5fecc5354', 'd4642a649788a10b', '45da746b8cb04863', '845dddb2e014cdc9', '83ebc32def5a3967', 'c7f1be8551fffb8e', '8dada1b00a394314', 'fa3080b291d02ee9', '59e94a32e670efd7', '7b80aa09b7f21186', '984ffd413db16533', 'ef2a0c327852b774', '50d0d7cf5b19eeee']; context = [[0, 43], [91, 142], [14, 56], [186, 241], [133, 177], [13, 68], [66, 117], [42, 87], [19, 75], [28, 85], [78, 127], [32, 72], [77, 118], [13, 57], [115, 170], [28, 85]]; loss = 0.010106 low_pass_filter = 0.300
+Epoch 0: | | 21499/? [3:38:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 21500; scene = ['e4284ea25d47d0e6', '9e7127fac4cd1710', 'cb9af04471339189', 'a348e7e5d35e62d4', 'beae259803b77e1f', '8dd9982d07e06ad9', '82d49340adc62a9e', 'e63f5cc478795d64', '3d8df97f0ddd375e', '638d352a194d1acd', '8764351a0a93925c', '76c9ccab60f76b18', '457bf2a6a77fda7f', '010571c8c397a29c', 'c505f66cce14d75f', 'fb4346a6849d5886']; context = [[17, 60], [74, 121], [182, 223], [162, 204], [37, 79], [19, 58], [210, 248], [101, 140], [22, 64], [2, 49], [103, 141], [41, 90], [175, 226], [157, 217], [19, 71], [57, 102]]; loss = 0.013574 low_pass_filter = 0.300
+Epoch 0: | | 21509/? [3:38:47<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 21510; scene = ['592feeb20bc84cb7', '53c9804b50ad99ab', '13ee40f99ef3fda7', 'e387c66e18137d25', '168efc21cebfe627', 'd1c3b86e61e4b745', 'cb3dc5a6d4e40430', '543822331e271917', 'ede486da04ebdc56', '0f249091b268d203', '89c3dc5c2b6ca1ab', '15592e57716c6463', 'b7264c9330e22b41', '106fe8209a72148a', '0a91ba693acb65d5', '1b0e42c4f8fbb88d']; context = [[177, 231], [7, 60], [32, 88], [5, 44], [103, 149], [75, 112], [46, 104], [10, 65], [87, 124], [32, 86], [40, 81], [9, 51], [42, 91], [24, 63], [64, 112], [22, 59]]; loss = 0.009046 low_pass_filter = 0.300
+Epoch 0: | | 21519/? [3:38:53<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 21520; scene = ['b7ee16db7f015691', 'a02b07e50615b1c7', 'cef5007856952e1a', '54abe04a860be8ba', 'd21b4712102f9305', '465b9fe249839356', '6e8010eb6c8a9ec3', '74cd4780d17db619', '664f022c412506b3', 'a41cea2a724f05a8', '59cc7e5e11910e19', 'd3741e9507f27e73', 'bbb434919482d961', '2a4a3612a4931819', '6a0c40520833351c', '7827b97afd6af034']; context = [[147, 187], [182, 244], [21, 78], [12, 71], [51, 111], [73, 134], [10, 49], [0, 58], [92, 134], [35, 75], [19, 62], [161, 204], [4, 44], [82, 138], [151, 195], [43, 90]]; loss = 0.009580 low_pass_filter = 0.300
+Epoch 0: | | 21529/? [3:38:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 21530; scene = ['08995d12c844a39e', '244f77df7b4aeb64', 'f38d65464a5edac1', 'e724e954dca8ada8', '11fb88a773d40b0e', '63fa54e068bf95ff', 'f26c35b6e5dca2b9', 'afefafce8f467d96', '993a85e1b690e97d', '89fbc4149a5d7348', 'd0ee747ebdd26d7f', '09223c50d5a39b7a', 'db3d51c462a54a7e', 'f26e8a72f69b6153', '2059d1d6c79bc51b', '58901334e2d813d9']; context = [[2, 44], [45, 87], [26, 79], [113, 155], [196, 246], [65, 104], [21, 78], [5, 60], [53, 98], [201, 248], [26, 82], [99, 157], [77, 114], [160, 218], [7, 59], [49, 108]]; loss = 0.008560 low_pass_filter = 0.300
+Epoch 0: | | 21539/? [3:39:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 21540; scene = ['c732343e2378ffe1', '2909e9a7913b4162', '6369c03b608f93e8', '11e8cf6f83a5c2c4', '33a4f0b50fe45942', '6aa7f62a894832b3', '0f9643bbc676ee26', '9a94d16f8d2ef43c', '7e57e05e1974ed8b', 'c1c5fff11944cfdf', '0c8c5b5b310995b7', 'eabe9e828d909849', '94f8af540f480a57', '8dc4d3224aeab6d1', 'b4692cbaafb76fd3', 'bb62628e198d0bf7']; context = [[19, 72], [1, 56], [101, 145], [222, 262], [29, 89], [5, 59], [65, 107], [16, 52], [215, 272], [39, 85], [157, 201], [10, 68], [16, 62], [4, 48], [44, 106], [212, 273]]; loss = 0.011266 low_pass_filter = 0.300
+Epoch 0: | | 21549/? [3:39:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 21550; scene = ['967d0d422fed326f', '1b3e33a1b1c8d2b0', '61b511610991a0fa', '36a2bf6ffbf3f02c', '36f19d3edadc5a48', 'b3eef8ecc24c5d4a', '7aaade6304f4d492', '6cca94828ea4d7c5', '5bb77d4bbbe47426', 'e954bc5b1bddf0f2', '3892c6ff9c95b765', 'e8d455c310009ca0', 'fa29dd343b1232bf', 'fafb4ea9e592b903', 'b0a18edee7df36d8', '6616e4bf86495b11']; context = [[11, 71], [33, 79], [96, 132], [25, 71], [43, 92], [61, 110], [91, 138], [4, 60], [41, 83], [6, 58], [143, 195], [2, 59], [43, 87], [10, 58], [3, 45], [105, 145]]; loss = 0.010893 low_pass_filter = 0.300
+Epoch 0: | | 21559/? [3:39:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 21560; scene = ['cfc6396b2c66cf16', 'acce13e84d3dd931', '7cfeeacb5878e4aa', '228f8aa9a637a9c1', '9b6ca3cfe5886688', 'c35cc5f2832c6c1f', 'cc0d9b3c6f77b172', '5e79dae0930185cc', '329e73ec99456771', '8fe2890aa478023a', '394e6218a0938518', 'ab6cd47b1ae67af4', '65339c35edabef23', '9e3070f594378795', 'a8dc0f3c0d970061', '117a42783de86881']; context = [[136, 195], [13, 67], [13, 71], [40, 85], [146, 205], [0, 37], [11, 63], [7, 50], [139, 179], [3, 63], [107, 147], [9, 69], [33, 86], [70, 107], [52, 111], [168, 218]]; loss = 0.012670 low_pass_filter = 0.300
+Epoch 0: | | 21569/? [3:39:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 21570; scene = ['4ae447fcc0d0c2f9', 'fae64c7efc1efe1d', 'e8f2a9d8809cbb5f', 'd58c9ee06ec6f28f', '43afc7d30bc60f7a', '742dd935b1e80082', '33f6234f6414324c', 'cd7a270da6f6da4a', '363163aa8eb9a2dd', '3c74942b2a1ebb46', '0274ae92b3b40648', '56f96532473be1b0', '5b939cb51f37b330', 'a563a9ac0035602f', '9293a58af522a70b', 'f6d48213ef0665a5']; context = [[12, 48], [13, 68], [46, 104], [33, 81], [151, 211], [43, 101], [57, 100], [27, 65], [18, 57], [12, 62], [20, 56], [18, 58], [1, 46], [22, 60], [8, 46], [40, 88]]; loss = 0.008658 low_pass_filter = 0.300
+Epoch 0: | | 21579/? [3:39:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 21580; scene = ['263f0d42e8710c65', 'd4feaec801a34163', 'b00b0366223e6877', '0f01b8eebfadbfe0', 'db90db656da7ff73', '530bcd81d8f61dfd', '4c48f3917eb0968c', 'c049ee736ade99e1', '8769f0f6650d769d', '24ed74968bea707d', 'cc66d286f13fb193', 'a3dcf985957f8e10', '10869961ce9a0083', 'e58bf9d7af3ee289', '88fdbfa7f91b3410', '0c2a293c53fc16a5']; context = [[12, 54], [16, 66], [6, 59], [31, 73], [60, 117], [53, 90], [67, 122], [30, 91], [7, 47], [36, 83], [1, 41], [91, 134], [114, 156], [81, 125], [3, 60], [26, 71]]; loss = 0.010187 low_pass_filter = 0.300
+Epoch 0: | | 21589/? [3:39:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 21590; scene = ['0394a4ce9666834b', 'e9482c8918ba452d', '7a0bf37b17611a89', '3adcf3d4106281b0', '04719d552f4d9d25', '1e6f4b7d9bb12ed2', '71b4b0904fbb4269', '88cf24f0c9dd93a6', '24d99efd78aa36b8', '19861a4bdefcdabf', '7073053a1ff0206d', 'e46bfc605bc405f1', '36ae47b315bb99fc', '4b9ed7532c875dab', 'f7805054a28b6ed8', 'c0f128f783625ed0']; context = [[16, 74], [76, 124], [134, 184], [10, 49], [13, 56], [147, 207], [2, 40], [7, 59], [69, 131], [0, 38], [13, 56], [92, 152], [25, 61], [0, 40], [21, 72], [28, 85]]; loss = 0.009648 low_pass_filter = 0.300
+Epoch 0: | | 21599/? [3:39:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 21600; scene = ['9640c9d0bef9ad9b', '1620ee65c0c87b4e', 'f8d7d5f83350ba50', 'de3ccf8d3c418bef', '1e2c9a89cbf36161', '98f7a067bbb96008', 'd7f2d82f83e70693', '807a812350f25893', '51d68b77c408e914', 'de36333a5c68eb32', 'd12ccb9176baca06', 'e942de9a7b77dc44', 'fef9d317e71c3122', 'bb83dfc9326dcece', '5dc77f428548ef6c', '6368bc9ee243f179']; context = [[8, 66], [10, 49], [71, 125], [64, 108], [186, 231], [3, 50], [120, 167], [49, 103], [19, 81], [11, 69], [12, 66], [116, 177], [173, 228], [59, 118], [18, 55], [137, 181]]; loss = 0.011297 low_pass_filter = 0.300
+Epoch 0: | | 21609/? [3:39:47<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 21610; scene = ['ace36f4f78eba6fb', '45ce373b035b8fd8', '0fa74425b75be77d', '260daae5c4e5ef5a', 'c4b188678255126c', 'e0080506fa76c083', '7982de92dc8af2ae', 'ade44bf3e35c9262', '955bddb48214275c', '457b960b904a9595', 'c59b6b514b506abc', '6e47e3b29341ee52', '1c59697ef3c615f9', '9af839610cd16e53', '98377a86faf72416', '6b7415674deeebbf']; context = [[141, 202], [21, 73], [0, 38], [64, 111], [0, 54], [34, 95], [0, 38], [197, 246], [44, 93], [174, 236], [38, 83], [3, 56], [8, 61], [205, 267], [161, 200], [14, 75]]; loss = 0.010360 low_pass_filter = 0.300
+Epoch 0: | | 21619/? [3:39:53<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 21620; scene = ['f6e4d0c5dc9c8416', 'a80ee48cc67b439b', '29b0d579d639f287', 'd5823a68b648b87c', '94e215648c3a36ce', 'd66c167f8b4d2356', 'a79d2b4e742e01f7', '14af89bdc75382ab', 'fc8deaf763806c66', '90bdc80baa33848a', '467e6cb4bcb7fc53', '43c4c89b3414a0fc', '851ada2e51906f3c', '956df4359a5b3ced', 'fcb1af0ebe6926c7', '252aa7d6ffb0422d']; context = [[15, 54], [0, 37], [14, 71], [30, 67], [189, 228], [0, 59], [131, 172], [7, 65], [2, 57], [68, 117], [21, 73], [57, 112], [42, 94], [166, 206], [7, 66], [8, 60]]; loss = 0.009479 low_pass_filter = 0.300
+Epoch 0: | | 21629/? [3:39:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 21630; scene = ['3f93267f27496d70', '7edfe804c8e458c0', '5763cbee9140b5d1', 'd2d46a53ce85782c', 'cf1a708223033c48', 'b1130040cfd2f90d', '7814de64263ff0b6', '26e0061850a99a8d', 'e7df13eca6bc6264', 'ca9d6e24ae21f2c9', '9ed1d7c9ed46065c', '0946f45440ad5b0f', 'a95046148af8e606', 'e95687cad1947692', '8705a0db1225c81b', '1ab78e27aca2d344']; context = [[8, 48], [9, 54], [31, 80], [14, 73], [90, 133], [80, 117], [7, 45], [35, 72], [103, 147], [110, 162], [10, 61], [27, 87], [16, 56], [10, 64], [36, 93], [114, 164]]; loss = 0.009468 low_pass_filter = 0.300
+Epoch 0: | | 21639/? [3:40:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 21640; scene = ['7cd7cc90b4b3cc3d', '808fb9f8f6ffaea3', '2713e0ee94fa2fd5', 'ebb723e2df92ac0f', '2f029575738d520d', 'bab915d8f5e78e91', '6ea5e62c178f6127', '5afb45fc7fd3c865', '6c89d1c9dece310d', 'a0b34f5d4d3ad074', '6b6daecb04d78e6e', '3fe72e64dc7d76c3', 'b312f660891eff99', 'dbdce7dfc5780e6f', '3a3bbbfe1b04ac16', 'ed7b1daf041fc146']; context = [[79, 126], [1, 51], [1, 55], [9, 61], [27, 80], [69, 128], [0, 36], [38, 79], [12, 50], [102, 152], [111, 154], [7, 60], [24, 68], [28, 74], [61, 107], [11, 52]]; loss = 0.012004 low_pass_filter = 0.300
+Epoch 0: | | 21649/? [3:40:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 21650; scene = ['97d3c7979447dd8c', 'e96cb36ba03824cc', 'bce74d743b6fdc0e', 'fd2445087b521bed', 'b17ef7cf07069daf', '049445c627d6850b', '2e7e83f0936f48ed', 'cdfa2ba7d2ed2047', 'd1adbcd382e291e2', 'bc0416bb78a802ee', 'ca54e98bf836370d', 'dfb2e9e573f4546c', '3ba642d8a177b665', '229d95aa1bf21e73', '906fbd1ca67ad39a', '6db367f58699de50']; context = [[4, 46], [110, 162], [193, 229], [109, 164], [13, 60], [62, 103], [120, 171], [12, 67], [80, 124], [21, 76], [219, 266], [59, 106], [128, 178], [8, 67], [3, 49], [51, 95]]; loss = 0.011831 low_pass_filter = 0.300
+Epoch 0: | | 21659/? [3:40:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 21660; scene = ['e8850f26fa325fec', 'cd3d4bd66ce644d8', 'eca4925a2205ecee', 'ba76bd997075d586', 'ee6dc6861a1bbd73', 'b4997d7f4158f26e', '05f80e0d407580f7', 'ab2ce8410384c1d3', '450fa68d31194b5d', '3a5d490ae40aa648', '164d871ee7844211', 'f863800d0b6b0c63', 'cb24af0d38869d52', '8ea56bfe40784cf0', '20a63ccab4351b9c', '3bfb96911971e0e3']; context = [[18, 61], [89, 127], [84, 124], [40, 87], [1, 41], [37, 97], [6, 59], [3, 64], [4, 47], [25, 63], [35, 77], [138, 176], [53, 91], [27, 64], [132, 172], [49, 91]]; loss = 0.008031 low_pass_filter = 0.300
+Epoch 0: | | 21669/? [3:40:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 21670; scene = ['680c110fec1cfd6f', '6a9ef43aad817a17', '43f8b70f4a7d39a8', 'b43dfc6680f84101', '4264fb9e606e7b41', '43df8b14b0450f89', '5f325561d9f76fda', '81f07dd22d17b17a', 'b8671aaa80344f5f', '0a3012464d2bf379', 'ab6cf8dbf75be791', '96a72c23cc148c1e', '3530f6b502c4870a', 'da33b0ed32034f61', 'af662abc8d684583', 'f05d3d6ad73a0308']; context = [[2, 50], [14, 51], [54, 93], [203, 255], [24, 82], [26, 70], [110, 159], [69, 119], [33, 89], [67, 115], [115, 174], [24, 71], [94, 146], [45, 93], [116, 156], [37, 81]]; loss = 0.012369 low_pass_filter = 0.300
+Epoch 0: | | 21679/? [3:40:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 21680; scene = ['a3e35447a265420e', '1076115a2423eba0', '17cc89e5dc2c24e4', 'a99c3462689c6eda', '7680be94e005fde6', 'fe4eaee590abcebc', 'be7fa9414da75873', '22fc661d65e41a60', '037e63f88287f302', '4053b2c1b94f9e68', 'b13fb8a7c8f686c7', '3244c1a0f0a62eb9', 'e2edab5b52966c17', '794460d142973b66', 'a2d98d79eb90487c', '519f68765cb5c6cd']; context = [[187, 229], [6, 49], [109, 159], [10, 47], [58, 111], [11, 65], [35, 74], [6, 56], [3, 45], [18, 68], [15, 52], [170, 221], [51, 88], [36, 78], [163, 217], [27, 67]]; loss = 0.009972 low_pass_filter = 0.300
+Epoch 0: | | 21689/? [3:40:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 21690; scene = ['540daa97e9bee596', '54d4ced992ef0be9', '2285f6706d6df696', '00a907a68edf05c7', 'ebc7d29df9f0118e', '68202dbda0564cc9', '85e7bd689f02a846', '56b52d634f3a3d1e', '437c8f3d17f24018', '6c6448162ad80c6f', 'c6beb6cc90853cee', '8bdd245418f71b00', 'd936dd442514c73f', 'e2fe2859c146b8c9', 'babe6aed44fb7090', 'b2cfbaf2c3d29d35']; context = [[92, 152], [12, 49], [30, 82], [5, 43], [13, 62], [7, 69], [40, 96], [6, 51], [16, 78], [51, 101], [21, 57], [6, 45], [36, 72], [22, 67], [8, 47], [21, 65]]; loss = 0.010324 low_pass_filter = 0.300
+Epoch 0: | | 21699/? [3:40:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 21700; scene = ['e4cf54f3d79d3f47', 'a02173ec86dae4ba', 'fb51740f9f91aac7', '1675958d1a94603c', 'bccf9a3c137d10a0', '24cc99fa62a245e4', 'ae55f82e5c275523', '8234e036ca5e340e', 'a168eb962c3df37e', '0f6c4e8f67bfa0ee', 'b913ee29a9954d95', '23ec4735aa0a67bc', 'f98d6c32648cdc8b', '9ad88af7e2443b55', '0a9e82926ed00bec', '5c88629cb0741db4']; context = [[23, 80], [33, 78], [5, 67], [22, 68], [26, 71], [27, 81], [2, 59], [20, 68], [67, 110], [3, 50], [54, 96], [73, 112], [11, 49], [23, 65], [5, 43], [24, 61]]; loss = 0.009093 low_pass_filter = 0.300
+Epoch 0: | | 21709/? [3:40:47<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 21710; scene = ['4accd24ff264058a', '2719c26d03b2054b', 'c08c2645124ad5d7', 'c223600fd4ba02d7', 'eb843846f25383d7', '71bab239be5027e7', '62bd65e4def165cc', 'd4edbb012745f266', 'b3983cd4e51bb0cc', 'bf9ec375e188cf4c', 'b7e0b9bdf95327a9', 'a9d8fed6650ea907', '6b39ed64ff475531', '7015660a6edcfcff', '3e0804dfec129441', 'c7e826478c32e990']; context = [[19, 75], [50, 86], [73, 128], [0, 61], [15, 52], [5, 46], [18, 69], [98, 135], [28, 70], [13, 62], [41, 89], [11, 57], [0, 62], [6, 61], [3, 57], [89, 132]]; loss = 0.012930 low_pass_filter = 0.300
+Epoch 0: | | 21719/? [3:40:53<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 21720; scene = ['fd7f996ea6606892', 'eb0ad402ba6f499c', '4180411482979dcb', 'ef05d8c3781ff579', 'c9640bf752471029', '5db087f55931870a', '9e7b0e6b126a0449', '96824b99a698d846', '94304e7878021cde', 'b1e149b34d6b16f3', '1d5a30bb1267f67b', '437215dbbb21544e', 'dc044b71b712f904', '79afe1c4794f8fa1', '4556e49b3a92641f', '031d281bf02eb1e7']; context = [[24, 65], [33, 80], [12, 61], [63, 112], [12, 56], [56, 96], [214, 263], [43, 104], [171, 217], [39, 91], [160, 215], [33, 79], [129, 176], [2, 42], [13, 69], [26, 83]]; loss = 0.011317 low_pass_filter = 0.300
+Epoch 0: | | 21729/? [3:40:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 21730; scene = ['1e70e700f899e3f1', '4aff7ed67c4dfb96', '8a54963763c7074c', 'ee5253dae1574a08', '0dc1c55f19440123', 'd6545357d99064ca', 'bb3eb9d480095f51', '7ae3f19e3250418a', '0a257e4047e3940b', '2249749c0caef1bf', '9f2c2dd173501b7f', '72a57f7a77bfa5fa', '1e97326f245ff550', '12d37d2db81cfb78', '3c0b04f2b0fa6193', '237c3958c379951c']; context = [[40, 89], [67, 118], [69, 123], [81, 119], [16, 57], [52, 94], [119, 162], [28, 83], [13, 52], [4, 41], [39, 101], [58, 110], [0, 38], [5, 67], [0, 36], [67, 115]]; loss = 0.012067 low_pass_filter = 0.300
+Epoch 0: | | 21739/? [3:41:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 21740; scene = ['184239156b2c35f5', 'd81254badee593da', 'a9be936ce1c3dcfb', '9f958ce8b5994f1d', '246fed0a9b054ee5', '45c4109dd630d30c', '672d0bc9c604fec0', '71aaf67494c15541', '2a70bb9827ef6e47', '7daff376c0f8bb2d', 'd9effdd73ed277c5', 'ca1e4b3a2e0ecc01', '4c66931bb0b93fdf', 'cc6379f86543e2c7', 'eb3c7682b5e3ca81', '79cf00260d3e7a8d']; context = [[8, 49], [10, 58], [226, 262], [41, 83], [84, 141], [3, 60], [45, 91], [52, 89], [35, 77], [43, 105], [93, 131], [83, 142], [76, 129], [6, 63], [16, 67], [56, 118]]; loss = 0.011581 low_pass_filter = 0.300
+Epoch 0: | | 21749/? [3:41:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 21750; scene = ['516e761c5402bf7f', 'd85224614a8ba749', '52d261d44166b108', 'b3d35b1754b449e1', '2f6cba5238438eb9', 'c944569063a4abf2', '0c63cd231163ae00', '568b33cc3fbab751', 'af8f4d618f869f77', 'ed51eda77e50f68f', 'ad6f3772864b9f5a', 'ff772e9eeaa3fae4', '7f8c25373eb6ef0e', 'ccfb0dfd6611337a', 'c3858f544a9d90df', '161b1aae30b9cf97']; context = [[135, 179], [123, 161], [5, 59], [55, 95], [1, 49], [96, 155], [83, 139], [45, 102], [0, 37], [15, 76], [29, 67], [49, 103], [5, 52], [68, 104], [81, 126], [25, 69]]; loss = 0.010609 low_pass_filter = 0.300
+Epoch 0: | | 21759/? [3:41:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 21760; scene = ['45fb1347cd3a5eff', '30512795ac2bb625', 'b0ebe336f9f96686', '571e0a97e57417b6', '1b8f8a9698642eb2', '7a25f6222cff4aac', 'ff2333bce3662cbc', '84a596d39c5189bd', '0d44b13bde35062e', '6598c4db67d3f87e', '5994a80afa6ef0fe', '8a6f058ea1b60e96', '94dd8d7a35b6c349', '9c41777f108288ed', '67642ba9afa1b1cf', '40aa327f7c331a8e']; context = [[203, 262], [196, 254], [0, 37], [12, 49], [13, 70], [5, 66], [3, 56], [17, 75], [150, 202], [112, 158], [7, 63], [66, 124], [62, 103], [15, 67], [4, 45], [54, 101]]; loss = 0.012493 low_pass_filter = 0.300
+Epoch 0: | | 21769/? [3:41:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 21770; scene = ['39d22b119739d628', 'b856db5bfd2b89bd', '4f7e52b0cf1cec3d', '052b90459fc4dc8b', 'dc36fa3cb8bf4492', '0d4ef39b1c775eb5', '95a37920b1ec02f6', 'dd050bfff50eb8a0', '285eb8af8191d4d1', '5bb7bb3784ca3d66', '6f3364f094e81f66', 'c26b1dbc51bb76a2', '7fcf8100c81fd54e', '51723a3c78e7e420', '2ba622b78fc4569c', 'f3ed8d2562b3bb55']; context = [[26, 88], [29, 84], [11, 66], [20, 56], [26, 87], [8, 68], [9, 50], [121, 183], [25, 73], [27, 69], [24, 69], [2, 51], [97, 150], [83, 119], [15, 57], [16, 68]]; loss = 0.009890 low_pass_filter = 0.300
+Epoch 0: | | 21779/? [3:41:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 21780; scene = ['9c83bd6bf9a8ccd3', '9aa698dba7c091b4', '9e1d293a1a5e15f2', '1d2966dfb6372259', '222d9cb22c66b115', '8d6d5c6a59fe2041', 'baea9853c1f8b756', '43205c12fd83c588', 'c152f6b5f3e6e77e', '33ff87aa39e41fed', '3a568c79673737e6', '5b926b622e31d3c3', 'f10c940ab4a81f12', '024cdec3379d72e4', '314d09d3997725a7', 'e82ae746fe86d59a']; context = [[3, 53], [29, 70], [24, 73], [14, 58], [86, 137], [2, 48], [23, 69], [11, 71], [16, 58], [82, 126], [70, 124], [11, 61], [157, 209], [37, 96], [85, 131], [1, 51]]; loss = 0.010811 low_pass_filter = 0.300
+Epoch 0: | | 21789/? [3:41:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 21790; scene = ['37f5f4362e72fcbd', 'fd43a0837dfe0b50', 'f3abbd7d96fbafb4', '4b748cea2f19798f', 'ba95ef7c31f58c5e', '440ce0df90c936a5', 'c0e8b7d8718425ec', 'c426c3939899ee95', '07649bc35471d0fb', '1d2aa82023890bb8', 'dd519a6b576ce538', '5149fd09f43351d6', '13aec08d287400f3', '8c95dabe79b4755c', '20df3685d7dc078d', '1a1ec38c2a2470d7']; context = [[10, 59], [136, 179], [3, 51], [19, 69], [20, 82], [9, 66], [95, 133], [36, 82], [0, 36], [22, 69], [28, 68], [16, 63], [10, 64], [25, 64], [17, 54], [0, 37]]; loss = 0.008835 low_pass_filter = 0.300
+Epoch 0: | | 21799/? [3:41:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 21800; scene = ['77542628c9955b43', '3f64560e908646e3', '6dcac4b5bfcc0f4e', '935397674b39b1ea', '8e99ada24006b593', '636a31235c706629', '3a0a8addc38a79d7', 'd3e7e152d9525908', '7ab75acf4337a003', '15b71b3a4c040978', 'a06884b7875e6cdc', '90f05cebbf4a88a7', 'd2ae64cc58cd5a62', '6ad8e4b9ecbdee53', 'fff13f7f125a577c', '4f0af14785c56a8b']; context = [[62, 111], [15, 57], [2, 64], [0, 52], [7, 64], [45, 99], [116, 154], [72, 123], [122, 179], [44, 103], [62, 103], [8, 51], [69, 128], [45, 99], [1, 45], [1, 58]]; loss = 0.011018 low_pass_filter = 0.300
+Epoch 0: | | 21809/? [3:41:47<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 21810; scene = ['75c231b3963554fd', '15a03fac30b07ec8', '411df8d0b3faa181', '42b37c81231b56f7', '8d1ebdfc75514a26', 'df37c720c410db30', 'ecd0216055e54219', '095d0b790f4b9a24', '5664d39ad0f1b834', '35b5ba883886cb9e', '5a9e5c0247e3449f', '00b37a5222bb6dca', '7f378d74cc39f8a2', 'd34f631bf889f0ad', 'f165afbdde9ddb9f', '63a4d8d6b62a5c8f']; context = [[17, 70], [14, 68], [178, 219], [7, 69], [103, 165], [24, 77], [3, 54], [5, 63], [108, 163], [84, 144], [17, 71], [0, 55], [21, 64], [196, 240], [16, 73], [166, 220]]; loss = 0.011718 low_pass_filter = 0.300
+Epoch 0: | | 21819/? [3:41:53<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 21820; scene = ['7aaade6304f4d492', 'a961e9131e2b8c6d', '29a5370dda4ecd56', '6634dce5a1e5a997', '19abee73ea4dfcb9', 'a67ff330021239e1', '486ebc90daa9ee9e', 'ef73fc2ed593798a', 'b89c23fa87a9a65d', '3061dd6569af7ef4', '25bd03283afbf268', 'f9cfbd6bb844eaa4', '0744c33d52be47ea', 'df24bd4bbcc782dc', 'f522fbe7b958f4c5', '681f1e6504d0a8a5']; context = [[91, 148], [78, 136], [25, 72], [34, 72], [0, 56], [44, 83], [1, 46], [166, 215], [103, 150], [178, 223], [6, 68], [2, 54], [52, 97], [83, 121], [149, 193], [32, 76]]; loss = 0.013662 low_pass_filter = 0.300
+Epoch 0: | | 21829/? [3:41:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 21830; scene = ['33d9c84df6285c81', '9f70627c899ece10', 'd50d8151d95486fd', 'd22a411f16fb174b', 'd8994dd6bafa0fa8', '4e071b367480ff56', '52ece28e102eedc4', '31007ddb2fbda4b2', '6cced5003224cecc', 'b373412bc8be869b', 'dbc167d7cf153052', 'a994e2ad8bb51468', '29ed0bda807c792d', '008f94cc8929340d', '8a75cfb4b5c3e4fb', '75b0b9b13b2662e3']; context = [[98, 148], [1, 40], [39, 95], [61, 97], [9, 70], [35, 80], [72, 130], [46, 100], [38, 95], [29, 91], [185, 236], [2, 62], [43, 86], [54, 113], [23, 60], [6, 46]]; loss = 0.010183 low_pass_filter = 0.300
+Epoch 0: | | 21839/? [3:42:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 21840; scene = ['10b6ddd1f8a0ff5e', '5eaa327da5e98d9e', '318741d1904d9cd4', '0b11c4c2d21a4f1b', '92183de07c13c62b', 'd51cf8e527ea5cad', 'f3cbccbf95c1fc83', '264626db21145229', '04ad9f32c83f28b3', '56d1fbbe9848c802', '37c29538c79cd90d', 'b913fc397ffe5b87', 'a6463fb1c9e10282', 'c6683515f5c374fc', '5c81d3506aa61647', '74ed41fdbece3110']; context = [[53, 89], [10, 60], [96, 134], [5, 62], [65, 115], [60, 117], [13, 73], [83, 126], [129, 169], [43, 105], [0, 57], [0, 39], [36, 90], [4, 40], [32, 78], [13, 53]]; loss = 0.011343 low_pass_filter = 0.300
+Epoch 0: | | 21849/? [3:42:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 21850; scene = ['68eda0e3a97731dc', '97be5aef5a551277', 'b50f8a66ecfcf1e6', '1222f5f021cdfaa9', 'b092748c833948a5', '850d436dab899405', 'bddba23efe18e759', '0e59b3829c04e55b', '6892cea8c44cef91', '1fd3039816e5adc2', '38048a7500a26145', 'bf2015a4184b733d', 'dc0129275679dc93', 'f884556456dacd27', 'daf2d2e27dd8949c', '07462bde84f79ab8']; context = [[29, 73], [2, 60], [194, 231], [26, 81], [53, 96], [221, 260], [12, 57], [107, 144], [176, 213], [50, 110], [33, 85], [31, 67], [2, 39], [90, 133], [20, 56], [197, 243]]; loss = 0.010892 low_pass_filter = 0.300
+Epoch 0: | | 21859/? [3:42:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.30, train/active_min_children_step=4.0train step 21860; scene = ['9c91f8599db23043', 'ff8a982f7807b368', 'b1bb68bc47ee5b68', 'fda4975df49b4ea6', 'e7b82ba02f9f37f4', 'ec09cd06976bb6ed', '3cb5133227ba02e9', 'ff5926af50275b6e', '3f6274ca0dc5dbb0', '95fa9ee54e6bdf7e', '91c4afc187a086fc', 'c7469d734caa6589', '8f676671dce6a340', '4dfcbe2e024d6f87', '4244bee7470b8df7', 'd6101105e2422849']; context = [[18, 67], [19, 59], [3, 40], [15, 64], [101, 154], [13, 58], [1, 54], [17, 62], [19, 73], [0, 37], [49, 95], [18, 63], [23, 71], [16, 54], [2, 43], [3, 42]]; loss = 0.007405 low_pass_filter = 0.300
+Epoch 0: | | 21869/? [3:42:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 21870; scene = ['63cb8090d7354764', '75b4cd7d12657847', '276ae8f6b469f3b3', 'e78b09abb4df5292', '26813cb5bfb272bb', '9327aeefffa14a4b', '54e9564d27d9a312', 'a76c40c96098b63d', 'a910f8752165735f', '8aef911b31bd5273', 'dd5f3dd699d98e69', 'fa6e6f9c34048dba', 'aac8d0a25bc8e61a', 'c6f4cc113de27e8b', '530950bcba399bd6', 'fef1f05c626f4caf']; context = [[51, 98], [0, 60], [152, 211], [65, 126], [59, 113], [179, 228], [33, 72], [91, 140], [4, 62], [21, 68], [16, 65], [51, 113], [80, 116], [55, 96], [65, 127], [17, 56]]; loss = 0.010155 low_pass_filter = 0.300
+Epoch 0: | | 21879/? [3:42:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 21880; scene = ['bbfd4ef6cbee9323', '1d2907d54964fabe', '8486d4549552f989', '340d6554b5a5d446', 'e9636b0d7cce7ab5', '08aa649837aabee7', '1bb6c9f319cd474f', 'f1113eed57046994', '7892cb3fbcaee020', '2759d056a8d14e04', '1a5f2da8e33050e5', '79e7144576553102', 'a16a83db12ad4c46', '94eb1c751f53099c', 'db6c2906183ce664', '81945ee5d2d889f7']; context = [[131, 192], [2, 58], [8, 48], [15, 63], [37, 90], [160, 211], [19, 75], [24, 83], [42, 99], [32, 94], [138, 176], [22, 72], [94, 149], [19, 58], [0, 47], [131, 170]]; loss = 0.012488 low_pass_filter = 0.300
+Epoch 0: | | 21889/? [3:42:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 21890; scene = ['82336eca903b6e86', 'dbe8fb4a958ea306', 'ef54866ee11f3890', 'ebbb776f5c426ae2', 'c718b29875d6057c', 'caf7c83470c7f539', '46a99cf9d8defcda', 'b107234cfb895c30', 'a5c5d22eb6353af4', 'c2893d4152103f88', '6deb86189735ad49', '357632990cc0f792', '56d7b41096c4a0c4', '570eae579ca05517', '73677808d2e27970', '5b43db5bf21abbb8']; context = [[4, 65], [25, 69], [9, 57], [41, 82], [212, 267], [57, 105], [21, 65], [141, 185], [106, 168], [15, 52], [24, 64], [8, 44], [112, 149], [6, 55], [6, 54], [55, 94]]; loss = 0.010999 low_pass_filter = 0.300
+Epoch 0: | | 21899/? [3:42:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 21900; scene = ['4b286aa697cf814b', 'c2fccfc90a74c89c', 'db62795c284bf764', 'a2e4b97b2c9a0ae6', 'b4caf9dbe386c507', 'a161a931396aa0d0', '9e4a3905468efe6c', 'bf8c1e3962c35b5e', '4dfd4268f80ef274', 'ed301ea795ca2156', 'f3e22bd30457802b', '8c2067631995309f', '616731b2df2965c9', '895cdbd2d21c3d05', 'bf7e0756f7e60574', 'f75167ab4259531e']; context = [[0, 41], [6, 52], [30, 72], [48, 104], [4, 62], [73, 124], [105, 150], [4, 42], [70, 120], [0, 41], [1, 49], [175, 228], [34, 80], [61, 107], [63, 103], [29, 70]]; loss = 0.008581 low_pass_filter = 0.300
+Epoch 0: | | 21909/? [3:42:48<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 21910; scene = ['c23dbd74452b25fc', '30115f3bcccb1aae', '6cc9520c54b93d68', '147d20e493dbd7bd', '906531d3bc42e80a', 'c80b47f679acd29c', 'ea3a6d12a19cb079', 'b86ccd949ea81b8c', 'ce5dda2d82101fb8', '537e126f093efc33', '6af9473588cfbf43', 'bdd8169f50496343', 'e47853cf56368a5b', 'dcd8192614eb6df6', '6fa448f84a097593', '0f131672e69409d0']; context = [[73, 125], [183, 226], [88, 131], [63, 105], [74, 130], [6, 53], [121, 180], [25, 66], [47, 87], [12, 49], [88, 143], [102, 152], [38, 76], [51, 112], [128, 189], [80, 125]]; loss = 0.008946 low_pass_filter = 0.300
+Epoch 0: | | 21919/? [3:42:54<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 21920; scene = ['155507e6c573ea0f', 'c6b4ee182a0c8f70', '08b7f061e79af09a', 'dde08cbd97dc236f', 'f873485ea901f0aa', '28edd0fc4cc7a93e', 'f7f53a9d54d4098f', '8ec27dc882d87cab', 'ed074cd40dc33596', '38c2f919e61f375e', '4ca6ed1cf7349efd', 'dfe78eb63cd652e9', 'e2128a609ff89c4b', '938865f6756c2301', '10624fc8f33d3a0a', '100c4c3fa1794647']; context = [[232, 277], [54, 108], [31, 83], [55, 106], [29, 67], [17, 57], [3, 57], [25, 74], [37, 97], [27, 75], [148, 204], [138, 180], [19, 80], [48, 92], [72, 128], [131, 192]]; loss = 0.008654 low_pass_filter = 0.300
+Epoch 0: | | 21929/? [3:42:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 21930; scene = ['d92a6ababd47f047', '939847209cf6cfa9', 'd558e4281ca1d6cb', 'f7bf92fe86d84a9b', '259bcd75ba6a361d', 'ffbd661d3229b4cc', '915abd70c09a502e', 'bc72d42a14994709', '11e52c5f46fc30bf', 'd0f766e5e96f5623', 'f2fc0f05c9df5be3', '8aad33b23262e8f3', 'f12a998cedc553f9', 'bf15144c156af1aa', 'aa0286372034e338', 'd959cfe7f662e07b']; context = [[144, 200], [4, 56], [61, 107], [30, 75], [31, 81], [39, 77], [154, 197], [91, 129], [4, 54], [29, 86], [1, 43], [47, 104], [1, 37], [0, 61], [33, 89], [4, 40]]; loss = 0.007899 low_pass_filter = 0.300
+Epoch 0: | | 21939/? [3:43:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 21940; scene = ['11903695a5befa82', 'd18d1ef2cdd52d7b', '4f6402427075eae9', '6fd7bc968cba571a', '15edfe935bbbbe9b', '29f109f23fe2e0ed', '5808f6374fdf5f22', 'a4c5ca93facb790d', '87dd19e287c2b139', '39e607eacf75eaf7', 'bcb28559c747436b', 'a3215a1898c37782', 'a8d2264f21b3ce2c', '5f9b3778934721a0', 'f2d39488e2f97502', '01d33474e64e76ca']; context = [[3, 53], [36, 72], [212, 259], [219, 262], [14, 63], [24, 68], [71, 108], [23, 73], [128, 167], [52, 112], [44, 106], [1, 52], [6, 65], [12, 49], [197, 259], [25, 63]]; loss = 0.010465 low_pass_filter = 0.300
+Epoch 0: | | 21949/? [3:43:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 21950; scene = ['ea8df2691a453116', '560bd1ba2a1f52ee', 'b0fdd7634bc50a1a', '48f532b78845c6d4', '59487394e4fdc36b', '584059f95310ea42', 'ca8a288d4f798d7b', '3a35983802667459', 'cf8653d94cf8dc19', 'd9dccd1426001628', '5f6cb93dc08fc1a6', 'eb903c09804d201d', '0cd1b0470eccc71e', '9d67cfafbd23367e', '8ff606e3b4579d71', 'a1263b3db507aadf']; context = [[163, 225], [15, 61], [40, 100], [69, 123], [1, 61], [13, 56], [22, 59], [143, 188], [108, 157], [4, 48], [1, 49], [8, 49], [122, 162], [53, 113], [3, 53], [4, 55]]; loss = 0.011694 low_pass_filter = 0.300
+Epoch 0: | | 21959/? [3:43:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 21960; scene = ['e60fb48aae2584bc', '60495ffd0a16fda7', 'e73685f60b0006e0', 'd25d3da5ca289c33', 'f06b9b480b4730bc', 'ef85c9e78f026beb', 'f18343ceb33e7281', 'ebe3a6e47566886d', '935eb63e2d4ba074', 'c081c9bddcc3cc73', 'c732343e2378ffe1', '60987a40ad6c73d8', 'd6c5625f80389208', '1414e41b4c8f32e3', '0aaed15800682a1b', 'b9d45f6a27052a50']; context = [[67, 122], [17, 69], [5, 65], [9, 57], [63, 120], [158, 194], [19, 74], [89, 131], [11, 57], [0, 37], [2, 65], [3, 64], [27, 72], [184, 228], [7, 49], [27, 75]]; loss = 0.009586 low_pass_filter = 0.300
+Epoch 0: | | 21969/? [3:43:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 21970; scene = ['12911b4f97d706b0', '937f8e3d9793a726', '5354b259bb11a731', '62e480eda89b85f4', 'd9e0fc931a94def3', '00bbf676b3378549', '34fb5840fbd65f27', 'd63314ee9d11a5fe', 'b42870de310cce44', '8aac6e58ac48fd15', '9bd0682ba6f3ea5f', 'ad8b08f786657b96', 'c61dcb999934a249', '445575852ced8759', 'cc806d390079344d', 'f4c16f9bc92218d1']; context = [[17, 69], [6, 62], [131, 193], [9, 64], [25, 79], [13, 68], [0, 36], [64, 105], [13, 70], [28, 78], [72, 134], [0, 47], [200, 248], [2, 65], [21, 57], [1, 38]]; loss = 0.013346 low_pass_filter = 0.300
+Epoch 0: | | 21979/? [3:43:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 21980; scene = ['6415de64be8a1d74', '3ea2086a5a93e0a7', 'b6f81740db95733f', 'cce12f667de01766', 'eb045b0c67e1cc71', 'cc2051c21229d188', 'd0bae56464f6702c', 'd777e52d81fbc515', '0474328f4cefd619', '05bfc76ddb55b2a7', 'f2877fd3e188aca4', '8039342cf122c12d', '46fb6702ed1b9967', '6ef3099511d24386', '38169a64d14c2968', '756d2cf95e970c61']; context = [[0, 51], [72, 121], [68, 106], [124, 166], [142, 195], [49, 98], [11, 48], [83, 133], [35, 86], [32, 86], [43, 94], [28, 76], [12, 67], [38, 77], [7, 45], [77, 135]]; loss = 0.009959 low_pass_filter = 0.300
+Epoch 0: | | 21989/? [3:43:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 21990; scene = ['d81254badee593da', '773eaab0c764d745', '021304d1e09c8b5f', '690e51b50279878b', '300272f7a17b746a', 'c44c89003028942a', 'a99dc3202017e7ff', '673fbdab349ed945', 'c0bf06f467375743', 'b8b4d4e967b1eaed', '13f9e034ed17801d', '1693c23f843b85b4', '2fe6276cc1839419', '3c9bbc5427f35f73', '0cdbf9b9bdbdd5fa', '34c71b535c38bb77']; context = [[22, 73], [11, 58], [8, 70], [168, 217], [100, 151], [72, 122], [13, 75], [21, 74], [72, 121], [14, 75], [31, 67], [0, 40], [1, 57], [7, 58], [38, 92], [28, 74]]; loss = 0.008888 low_pass_filter = 0.300
+Epoch 0: | | 21999/? [3:43:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 22000; scene = ['cc7c9c5bf0362e64', '36c1ffc4ad955467', 'fb3b24873bee7e55', '6bff01bc9e667569', '6427008718efdf79', 'aa1f56d920718489', 'ad76e0c90e33e978', 'ea2669b939c4d80f', '78cd4755d6a76bfa', '285d4b5197e28e32', 'e020be14afb3ef14', 'cb7ea96f12ceed00', 'c1b291bac208f824', 'd4e5b689bb8bc4a3', '6f70b8b96a4b3dca', '6d6368bfdb2564a8']; context = [[1, 47], [221, 259], [126, 164], [13, 64], [12, 66], [10, 71], [161, 205], [50, 104], [9, 50], [16, 73], [0, 41], [6, 55], [6, 62], [57, 112], [174, 235], [54, 92]]; loss = 0.009868 low_pass_filter = 0.300
+Epoch 0: | | 22000/? [3:43:42<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0validation step 22000; scene = ['a93d9d0fd69071aa']; context = [[8, 69]]
+Epoch 0: | | 22009/? [3:43:48<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 22010; scene = ['967cf97a932fa507', 'f7b32305d6daa2bc', '40da14eba717a7c9', 'e32356ddcfb80246', 'f024a38fc8e4ec74', 'ba299e06f2eb6d9b', 'c4005922f59686ae', '4c6ca52094c027d7', 'ed8272185c1ac2e0', 'e9409f501f1b6346', 'c66aaa5ea5543880', '64fa28b2416a6a38', 'b1b8e8c88721bafc', '81a3f8a8ce79a059', '4e8169b7f130e2c9', '69ad7ce4c6b901e5']; context = [[22, 80], [14, 75], [68, 119], [85, 128], [10, 47], [1, 61], [1, 63], [115, 177], [20, 61], [76, 134], [36, 80], [21, 73], [15, 75], [11, 65], [111, 170], [62, 115]]; loss = 0.010048 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 22019/? [3:43:54<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 22020; scene = ['4169b1a0d60a2570', '434b95e4500c4f48', '93d047589099d4b2', 'ad5a7e0a8665dd93', 'e232c85579d13613', '58036906b5ec55f4', '3df240d45bf7aa2d', '6c3009978aa165e6', 'ca08c3e06b14333b', '0a610a129bdcc4e7', '5f89ae8d48b0cfa4', '33971d13212f9fd3', '3083fb828649b8b5', '91530ea8f943b8c5', '797e58d60147a25a', '4e31a74c326af096']; context = [[14, 71], [177, 239], [62, 113], [126, 165], [6, 47], [43, 90], [63, 118], [5, 59], [47, 91], [6, 53], [9, 62], [6, 48], [20, 57], [11, 61], [32, 76], [62, 124]]; loss = 0.011524 low_pass_filter = 0.300
+Epoch 0: | | 22029/? [3:44:00<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 22030; scene = ['38e70ae6488aab33', '1df4a087ca57a288', '725cf32a819e9e70', '6c72d78415cc37c8', 'b52b95a079398db7', '679f1c3b1b0b04b0', '0c4e735d67b92814', 'cb698c8760f7a3f4', 'd4f199bae7f9028f', '3c605be257dfdceb', 'b63e4698070a825d', '80ba2b3e340a0473', '81ff93a784a29510', 'cb7b0766b8412221', '9beac3cf904bf329', '25672d21b37e4869']; context = [[120, 172], [0, 60], [12, 51], [5, 57], [13, 52], [28, 70], [230, 266], [4, 57], [81, 133], [2, 39], [94, 135], [21, 64], [63, 103], [98, 140], [18, 60], [11, 49]]; loss = 0.009516 low_pass_filter = 0.300
+Epoch 0: | | 22039/? [3:44:06<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 22040; scene = ['72bac7dc0c3a7f6d', '4320e900cf5f7074', 'd71d44024b5b0d3e', 'fc3ee0f062e9a2e8', '3e715f03f925cf3d', '9c3ebea75620b57e', '8584676cfe1afe61', 'a16d30d362a5ff7f', 'b4741c980124cd31', '842be3fa10ca4fda', '975074dc77b4b39b', '9c74a21848354b9c', 'a92d8d313f8da420', '1ebe12e22110e0a7', '6ebbb51c36ffa67c', '513d4618c36d0e42']; context = [[5, 45], [101, 148], [23, 65], [25, 68], [1, 58], [0, 53], [1, 50], [108, 165], [5, 48], [101, 155], [11, 74], [127, 174], [198, 235], [29, 91], [38, 101], [29, 92]]; loss = 0.011948 low_pass_filter = 0.300
+Epoch 0: | | 22049/? [3:44:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 22050; scene = ['902acb436b27685e', '9b69d11125244431', '6db6b9ec74297f7e', '04d30567c2a01265', 'cdfee7021f80e4cb', '7ce73150f91ec12b', '8f5f4cd9432e1c0d', '08fd748d62f03890', '427ccf30023b9ec7', '1d67a9e0bedfa5af', 'b937245ac95ab2b0', 'da68c805b37deb5b', 'd4422938cc00c968', 'cb7ea96f12ceed00', '6d6368bfdb2564a8', 'bcc2187b08eddbf5']; context = [[63, 119], [101, 147], [62, 123], [8, 69], [81, 121], [7, 51], [1, 41], [1, 49], [21, 68], [5, 62], [2, 59], [34, 72], [58, 109], [0, 39], [139, 179], [67, 119]]; loss = 0.009271 low_pass_filter = 0.300
+Epoch 0: | | 22059/? [3:44:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 22060; scene = ['a641a23dd13d538f', '9e5ac63038c2b746', '418e0288d6ce2f72', 'b2e00b2445a4e506', '0c99f06e8b5bc9fe', 'df7f09e925d52823', 'd8b6c6f00773941c', 'bf3af518a9d57ab2', 'debfcd0facc08e74', 'f7066db19ea7dde5', '312e16d4b4b9e990', 'e19f322390d2dd64', '373c334353542c1e', 'a5ef2ff8ab381e4f', 'de38f6aa8336d09a', 'dca0822a879ff72b']; context = [[11, 67], [37, 80], [39, 99], [41, 96], [3, 52], [0, 47], [134, 191], [156, 215], [9, 65], [168, 228], [24, 68], [112, 174], [45, 103], [138, 197], [10, 65], [85, 122]]; loss = 0.010306 low_pass_filter = 0.300
+Epoch 0: | | 22069/? [3:44:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 22070; scene = ['5d82d56654db7bf7', '0004866ca872087c', 'bec5a96b9f3d3958', '8337a32969c365d7', '28522eba1f933510', 'e6e8cc906c35e6e1', '2b023270623346dd', 'c984f50b210590b4', 'bb2a6aa230389112', '1f2195c33874e2a7', '1ff7805b58fa8baa', '6e7024d848c715af', 'a46b24193229d8c6', '6f27c2a023c0495d', '80d75f4bfeeafe44', '7c7a9725a5839a48']; context = [[139, 194], [65, 113], [84, 141], [49, 108], [1, 61], [0, 46], [57, 101], [218, 256], [61, 97], [1, 62], [31, 69], [3, 53], [52, 94], [18, 55], [76, 136], [27, 81]]; loss = 0.012098 low_pass_filter = 0.300
+Epoch 0: | | 22079/? [3:44:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 22080; scene = ['8a803ac9260584d9', '50b7e0408ef2df49', '5c13b85999c1fa5c', 'e03c32cada8f8685', '0e7a94867925f87f', '3388d14433e04e9b', '66dbbedd0b62d620', '101c594f454bb757', 'f784de759ead407d', '9d488b6c1cc01053', '554de88b345618cf', '03ca963d98ce5eb4', '0c8d65b305f7dec7', '4ef9ea41d2491db2', '412b1172468b8951', 'e71374d746eca58d']; context = [[6, 46], [8, 62], [3, 59], [9, 55], [13, 51], [31, 68], [1, 55], [13, 56], [42, 101], [45, 84], [46, 93], [45, 81], [0, 58], [4, 45], [47, 89], [19, 67]]; loss = 0.008261 low_pass_filter = 0.300
+Epoch 0: | | 22089/? [3:44:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 22090; scene = ['6cfdd5147e9d0d35', '6ee14e90603777a9', 'dc5214ebc39790b6', 'bd9213b7a0ca097f', '8dd139ea9fa485a7', 'e36cbe2b5246b897', 'db1bc45bd23844ee', '8b56c47ccba74386', 'bbbf86d6023b756e', 'd23860636bd4f6b9', '679b71a0c8b16ec9', '145fff95cba3d1be', '64db7512182c3f7e', '06a98db04d55c991', '9c34287c66be9375', '597a7b1d1a1db7e5']; context = [[55, 96], [23, 78], [19, 71], [140, 177], [29, 81], [6, 51], [47, 89], [144, 182], [114, 175], [23, 70], [32, 79], [4, 41], [82, 118], [21, 57], [17, 74], [119, 177]]; loss = 0.009015 low_pass_filter = 0.300
+Epoch 0: | | 22099/? [3:44:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 22100; scene = ['55396890c6961267', 'aea713a654bc70f2', 'd56bc7ca0f6368bc', '026013ca541c30da', '1fc20dbf49022bb0', 'd28eddd645b84866', 'c7a16ca73b5d1a45', '52b5cc4edac20b1d', 'ce7ced20aa22c2fd', '35f616539109376c', '076a35926f218f1d', 'ff386ee63e9a5979', 'd573d6a8e9eb3c07', '4f3b2263d2a7347a', 'c61bdd4a1ef94c75', '4416aca1509427f1']; context = [[9, 72], [0, 49], [23, 64], [109, 165], [1, 45], [30, 84], [40, 89], [14, 64], [12, 70], [14, 76], [10, 70], [14, 73], [5, 54], [30, 71], [1, 53], [16, 59]]; loss = 0.010325 low_pass_filter = 0.300
+Epoch 0: | | 22109/? [3:44:49<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 22110; scene = ['5e15850ae9ba93d7', '9a97ec19a3bf5147', 'd5c1a6c6cb883de1', '32a2313f018d5305', 'cb1c0ed8721fbcc9', '5bd2b8a6ac345fa1', '51cbaa0fef55d570', 'a841b06e52f99e0d', 'e52679ac7b904c9a', '0cb1f4423c89e950', 'ec59c25cd74e739a', '7b50ef84dd63921b', '1f5704bf23ed3e6b', '3533e8353a4037a6', '2bd9dbb5e79478f2', '893ee7f0458c8d38']; context = [[17, 65], [116, 158], [61, 112], [4, 61], [30, 81], [6, 58], [56, 92], [47, 88], [76, 126], [129, 181], [4, 53], [24, 77], [56, 98], [2, 58], [2, 47], [42, 79]]; loss = 0.009593 low_pass_filter = 0.300
+Epoch 0: | | 22119/? [3:44:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 22120; scene = ['b419bfa4bf5e4d5f', 'aded09e472c481df', 'bb1757b78d7c2c4c', 'ff1d2975de62c75c', '65ca4812c80ba806', '75c669ab3a4b5f54', '8bd922b2000c7320', '9dadaec44c97db78', 'b0a821041e945fb5', '47eea4af0e417a61', '210663239642cbc3', '03583c28537ca3ae', '4d5bc50676a987b9', '5d5e28ccdee50a9e', '7576da44bc56a4ec', '27cc9e8e5d628dc3']; context = [[100, 139], [40, 77], [23, 69], [30, 90], [5, 46], [12, 48], [173, 215], [27, 65], [47, 110], [4, 42], [5, 50], [63, 112], [1, 61], [26, 75], [16, 61], [57, 110]]; loss = 0.008331 low_pass_filter = 0.300
+Epoch 0: | | 22129/? [3:45:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 22130; scene = ['871027075a80bcad', '70ed6ed94266af1e', '429ea04295ce4c00', 'ea02d0f42c603c21', '2660f845947221f2', '31250ac58b3e32c9', '40376e9c2cadecbf', '124a8e1a8219f20f', 'bb32e9a89ca9387e', 'c13a53c648b36401', 'e8de65fe4e647a7d', 'fa0ebac9a7dc602c', 'ea672c1776514bc2', '7025666cfb44748a', '71d70edad4f466d8', '3840264dfb7c4d0b']; context = [[22, 83], [16, 53], [101, 141], [141, 201], [108, 155], [155, 192], [14, 69], [96, 158], [52, 93], [29, 76], [6, 59], [9, 51], [171, 210], [22, 85], [11, 61], [5, 67]]; loss = 0.008831 low_pass_filter = 0.300
+Epoch 0: | | 22139/? [3:45:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 22140; scene = ['7e7eef981c97198b', '32935427d53588ce', 'cb3b1652c6eab780', 'b20b61523d9dd6b5', '953a7c1467296fe5', '25aba9aad59f0eba', '66c2a901f10a14dc', '4d7e82f4a0bbc0f8', '905891b1bc846ccd', '5aaeb25dad8f677e', '713dd7ab28264c16', 'a7bb41fb317553a2', 'f28235eb3977eddf', '616ffc28b5189477', '3b1b31a369067c81', '6991ad9b67711c91']; context = [[96, 154], [33, 73], [1, 52], [19, 64], [49, 94], [93, 130], [45, 92], [58, 98], [83, 140], [11, 73], [2, 58], [34, 76], [148, 187], [29, 88], [66, 107], [35, 88]]; loss = 0.012041 low_pass_filter = 0.300
+Epoch 0: | | 22149/? [3:45:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 22150; scene = ['8dbc54ca1f13e7e6', '882efbeb56fce689', '45656906ceb6f2c6', '52f3bb3cf1f36bf9', 'cdfc0049ab8824ca', 'ad766f968b9edef5', '536b0a79a61e848d', '40c6f5e7838c0674', '2fe3d2aaf6006108', '8ac5b94f705e0115', '7b042f9e148fa642', 'bc80d47a3654159a', '64a249e7fc5aa400', 'c3659122206f5c96', '386bcff854bd03ef', 'bbf5bf0f5a0f9d48']; context = [[13, 50], [4, 49], [106, 149], [127, 174], [93, 139], [19, 55], [1, 53], [35, 93], [9, 55], [163, 209], [81, 143], [4, 42], [55, 103], [160, 198], [0, 40], [6, 45]]; loss = 0.012168 low_pass_filter = 0.300
+Epoch 0: | | 22159/? [3:45:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 22160; scene = ['3e6a0e546092e5ce', '67b643183e3b0239', '332a9eab3d114cf3', 'ca3a044d9a37a544', 'c24d2ef26ab0a260', 'a37fb46545b26cd2', '50211eea27108ca0', 'bf5a6bd863756946', 'ec5a3410978f01c4', '509aa3fc9305eb97', '5aeea78290855b44', '5f2354a67645df18', '93d5594a00802532', '2958d238e5aa242d', '32047e8d7765b533', '2b1283adc29ea556']; context = [[0, 36], [15, 56], [61, 112], [26, 63], [72, 126], [29, 75], [32, 94], [1, 41], [66, 113], [60, 105], [16, 73], [70, 107], [8, 62], [91, 136], [10, 61], [218, 262]]; loss = 0.012531 low_pass_filter = 0.300
+Epoch 0: | | 22169/? [3:45:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 22170; scene = ['8a8e389378f42dd7', '880e7819f343c5a3', '60454705a200f9d9', '5572fb835bbc97d6', 'f4a0645f7254a5fa', '914a2a719cc88175', '8083e34382660f65', 'd14cfc82d87e06ec', 'cc90987857dcf840', '7d57be178bfebe81', 'facc36be12149a27', '28e3ff32d7f2a1ea', '3a6d56deb88a939a', '172f00a993c91d33', 'a5fec6ceab1a2f83', 'e9a353fc7558047a']; context = [[27, 84], [2, 65], [0, 47], [212, 248], [1, 46], [22, 69], [9, 52], [9, 51], [74, 120], [90, 137], [67, 122], [69, 106], [32, 69], [28, 72], [39, 76], [1, 53]]; loss = 0.010542 low_pass_filter = 0.300
+Epoch 0: | | 22179/? [3:45:30<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 22180; scene = ['520042b8f6b60fc0', 'bae8e9f786e36bdd', 'bb3f5ca46ec87fdc', 'bab355ea5a2c6258', '1e482d20fd3e196c', 'a3258db2b20d72c9', '85c1afc20586c334', 'bde5c633b64dc42e', '14c3d899a8f0a25c', 'ac7a43e9429a0052', '206aca943889b91e', '3de8a09239959318', '8310605001f9033d', 'd5b138f5c90dd265', 'dad8b744cd8e2d6d', '773467e0c2dadcc5']; context = [[12, 50], [206, 242], [21, 61], [64, 100], [3, 65], [26, 70], [2, 57], [36, 72], [47, 107], [13, 58], [37, 81], [14, 77], [5, 46], [61, 111], [69, 116], [11, 55]]; loss = 0.010070 low_pass_filter = 0.300
+Epoch 0: | | 22189/? [3:45:36<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 22190; scene = ['358e8f0bc7e3503f', 'd2504f7d7af1a9a3', '2d78bdcafda0e615', '55460448c86d27ef', '2935197dcf0164b0', 'b5476504de893f96', 'c91dc4e10b8ac16b', '9561b33818543eeb', '4a48d77f5585a875', '5b022ca0885cc539', 'f16cd2121f8be894', 'c63225bd2e5b66f7', '238c6c917d84907f', '69bd7826b7c0c606', '64672425f1a104d4', '01794a4d7bb72235']; context = [[42, 89], [30, 81], [5, 57], [2, 41], [3, 57], [51, 100], [46, 88], [3, 59], [10, 70], [15, 73], [68, 109], [7, 69], [23, 66], [159, 215], [144, 200], [48, 101]]; loss = 0.010722 low_pass_filter = 0.300
+Epoch 0: | | 22199/? [3:45:42<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 22200; scene = ['559f0251ff195a45', '6e5d2e5d7e398db5', '0f2b05a2206a3180', '60e0925e79a6c253', '502774a6c8eb28ba', 'f5eb0f156e32645b', 'baccbb802cd0ad2d', '5474e6cd7ccd6d1a', 'de60b627821c8594', 'e899e939dd9774e0', '0fe8e40f46e8d14e', '73aee8654106974f', '0645a0441a9553e9', '3b7a2b88d554d67b', '6c4cb27d617151aa', 'e2b9fe93917b4294']; context = [[52, 91], [37, 76], [14, 63], [133, 170], [9, 55], [90, 135], [124, 170], [19, 81], [42, 78], [9, 64], [69, 115], [162, 220], [5, 48], [82, 118], [59, 106], [193, 230]]; loss = 0.007927 low_pass_filter = 0.300
+Epoch 0: | | 22209/? [3:45:48<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 22210; scene = ['b076f2a5b52d1370', '6a360065fbd7053b', '0d9643db1fca8e9b', '0dfbccbfd1f98e92', '635f16dbf0ef291b', '94a390910c87e459', 'f3313aa3e401cee9', '34b4e9d9f2f89286', '13d6c8b2d99b5984', '5ae12d62fcb5394a', '5ef9175d9520c85e', 'feee8ecf69a70f22', 'efc65de7bfa7d9fb', '0d13d31b09170e94', '620dfa4e0e4d9b48', 'd8439a79c65a66fb']; context = [[46, 100], [0, 36], [6, 46], [56, 108], [32, 68], [186, 248], [45, 106], [10, 73], [24, 83], [2, 59], [69, 131], [12, 50], [1, 42], [104, 152], [21, 69], [16, 64]]; loss = 0.014037 low_pass_filter = 0.300
+Epoch 0: | | 22219/? [3:45:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 22220; scene = ['c3340deff661af26', '3c7759c8cebd2456', '0f1ed084be03230b', 'c0ecf73a2ab53c5a', 'dd409e71277155a3', '657d40112099caec', '79259e9d15d21aa7', '2c7dc741d1a225fc', 'a33727ea2af50656', '3730b7c1cc56047e', 'ecfc865925d2cb8f', 'c4024b7f943d9d9a', '0c2b1cb610e4f21d', '8cc2ddc5371a5549', 'df9d24570a15e8bd', 'c1efda2fb870a8f9']; context = [[136, 183], [186, 229], [7, 59], [83, 132], [25, 63], [39, 76], [104, 148], [7, 66], [23, 65], [53, 102], [36, 88], [5, 49], [210, 249], [5, 41], [62, 117], [70, 118]]; loss = 0.009811 low_pass_filter = 0.300
+Epoch 0: | | 22229/? [3:46:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 22230; scene = ['9abf1b568e15af72', '23b084c9e1cdd885', '9893aa24dc5520de', '049881f24130be4d', '6b33e3d6ce710c98', '817553ac113e9ecc', '4b76e0c8adcb1a08', 'bda91c06a62bfe98', '2efcb9cd75ddf0a3', 'f5df6b58698fbb00', '658baf4960e4ce01', '2c7be9cd3e8976e0', 'f9a06b44be2312e9', '427fa27ba9d98e00', '0676fa0db5cd5dc3', 'f9195769208f3b78']; context = [[13, 54], [2, 55], [11, 74], [2, 42], [40, 76], [186, 244], [119, 157], [18, 67], [16, 58], [75, 112], [87, 145], [27, 63], [81, 123], [22, 59], [13, 74], [80, 134]]; loss = 0.013462 low_pass_filter = 0.300
+Epoch 0: | | 22239/? [3:46:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 22240; scene = ['6d727b8f5862a634', '1319170a73cb514d', '7afefd271f2ff47d', '791c6386a4340932', 'bedba1846d7b3f88', '9a902960aaa032fd', '67693f88a026e955', '54c0968cdfab4471', 'fe356da855cd3c76', 'a637b8400669672c', '7b78a2113b0b67e0', 'fa42604243a1cf5c', '86758eb672184f0f', 'b48a3b06176567c3', '3101309753e2f063', '73d4487e58b6b6bd']; context = [[115, 168], [55, 97], [164, 218], [3, 59], [8, 57], [53, 100], [22, 60], [2, 40], [8, 48], [8, 50], [159, 209], [115, 158], [35, 89], [62, 116], [28, 71], [67, 107]]; loss = 0.012262 low_pass_filter = 0.300
+Epoch 0: | | 22249/? [3:46:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 22250; scene = ['5e584ec33613a432', 'da6a06777bf70381', '55eee87b61d361b5', 'e6ce213193d24e64', '05ed7f84c7d34ed9', 'cc7d521f0185cc9e', 'cf2110a63b0ec3d3', 'feb5e3022fdc674f', '8411baa1ad3a5c6f', 'ce284b41bc2d6abb', '109d95d5de8c2056', '15121aa15652bcdf', 'dd4916f348c17aa0', 'b38f933773a331bf', 'e0f9634ac743f6e8', '25b566c54e1d3c7d']; context = [[8, 60], [27, 65], [58, 112], [85, 130], [68, 104], [27, 64], [31, 92], [6, 43], [76, 123], [4, 46], [79, 120], [1, 42], [0, 40], [21, 68], [38, 74], [67, 111]]; loss = 0.008414 low_pass_filter = 0.300
+Epoch 0: | | 22259/? [3:46:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 22260; scene = ['bf0c5cb654dd1e0b', '700ac3a4e337c355', '041e80ca1179ed69', '01a8f17430811e07', '969e0fb4ea498d2a', 'ca042138cc5291a8', '452bec637695fb61', 'a56927ac0e84b487', '88dcb5cdf83eef5c', '89f06e96811dd13c', '9e4bbe87809330fc', '44cb993e19c042ab', '91a5dc05e579c726', '15e6c1b0d22b4805', 'e69545e8027887b4', '5409ddd120a2e6a5']; context = [[78, 141], [2, 39], [12, 56], [27, 76], [12, 67], [56, 112], [3, 44], [0, 62], [14, 52], [10, 69], [116, 160], [7, 55], [43, 81], [89, 128], [9, 57], [28, 83]]; loss = 0.010496 low_pass_filter = 0.300
+Epoch 0: | | 22269/? [3:46:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 22270; scene = ['cf0dd04859dd91e4', '71e45ba112868691', 'ee4038769ba70986', 'a2bf97c198b5b510', 'd9d3d5e31c1103ba', 'acf5370b7f9982b0', 'f0de2f217c4e3f32', 'da635272c8a2b142', '8f15d621211d0cf2', '524021c246a1488d', '69bc465e5a422357', '6a089ad9ba7da80d', '54f675ec7c77eddc', 'c97f679a709b82c6', 'ec4e714f7395a1eb', '5a0df8c07e9a9fe9']; context = [[41, 91], [30, 72], [100, 147], [22, 84], [6, 54], [115, 165], [0, 38], [62, 101], [2, 53], [60, 120], [88, 146], [64, 110], [127, 167], [5, 54], [28, 75], [171, 221]]; loss = 0.010780 low_pass_filter = 0.300
+Epoch 0: | | 22279/? [3:46:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 22280; scene = ['bf78e74b9709529e', '5960b646542df055', 'f0dede73d7704d1f', '1a314c79785c4dfb', 'b215bd4e6fb3908e', '8be3a9f4149545b6', '0e85f9c3973b1102', '7c4216f5c1228f5d', '96511adf959795aa', '386ab02cdb228dd8', 'c3014424adc10c07', '8b029362353581d3', '7e54b2a98ef2fa85', '7a7a9fe746307fef', '669850df6e386e8e', 'cd27c675fce414ca']; context = [[44, 83], [0, 36], [24, 67], [44, 103], [68, 109], [100, 148], [170, 221], [29, 76], [118, 169], [24, 63], [94, 148], [82, 145], [11, 63], [43, 91], [6, 69], [64, 112]]; loss = 0.008492 low_pass_filter = 0.300
+Epoch 0: | | 22289/? [3:46:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 22290; scene = ['03e2443677ef9f25', '07cc0d72ad68bfa3', 'a318778c76e7390d', '404096eeef719e20', '1b59a7afc6aef520', 'a12c74058192f695', '1ca35396fbd10b46', '91f91c407bc8b320', 'bd42903cb96596e4', 'ba876a2b1024ba96', '37382e949c5071a2', '8740e1f6de885c55', 'd220b5a896dd7fe1', '5061d6e64c05022b', '92fa1fe24b4ca072', '18629a884d3d0687']; context = [[23, 83], [1, 40], [124, 164], [17, 60], [8, 50], [55, 110], [38, 78], [9, 68], [45, 81], [10, 73], [3, 47], [96, 158], [135, 180], [55, 118], [226, 268], [3, 65]]; loss = 0.009508 low_pass_filter = 0.300
+Epoch 0: | | 22299/? [3:46:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 22300; scene = ['1e34f5b87ccb156f', 'c60321ebc88ec957', 'f2851940fc2d313a', 'a9ef4a24b4d444d9', '0d7e98c8cb6b0f5e', '470ab1ead567352a', '9beec741422ba809', '210453e1d754af6e', '515583ca3493111d', '786d4e8a8c162c2c', '36f77b7e22d93207', '88b2ace543554005', '06eb937c6f2a45d1', '70a6534438ec97db', '794a33acf2a0863e', '1164f5249fa700ea']; context = [[69, 131], [149, 210], [122, 175], [24, 61], [23, 65], [1, 43], [10, 50], [2, 59], [19, 65], [40, 103], [37, 87], [32, 90], [68, 125], [70, 123], [121, 176], [65, 116]]; loss = 0.008773 low_pass_filter = 0.300
+Epoch 0: | | 22309/? [3:46:49<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 22310; scene = ['64cf5fe1833415e2', 'dcb202dbd3a06062', 'acc987dc537ca73b', '5d8e9f05b0ff98f0', '99e3303a2fac35ae', 'a44d6979b3bafcce', '63530ed9d72a8372', 'f47283447b11a0a4', '375a71d06e55dbd3', '554969e92f0c8d3b', '3c9a565ad968626d', '2b63e3da632073f8', '77da7b2b980f34f9', 'f2f7df2a8b307e10', 'c902db04aedf721a', '229a78770f9e62ab']; context = [[156, 213], [28, 76], [0, 38], [210, 264], [142, 200], [6, 61], [47, 109], [11, 51], [45, 105], [86, 130], [57, 98], [34, 79], [31, 85], [0, 62], [69, 128], [80, 132]]; loss = 0.010188 low_pass_filter = 0.300
+Epoch 0: | | 22319/? [3:46:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 22320; scene = ['194dfaa589c9981d', '7e190cd29a835d3b', '6b8350934fe76833', 'c31a26091e7994c6', 'fc96fc284fcbac43', 'a7132b7deb50843c', 'cd0c3be3f75fe832', '7d1b94a686da6df9', '4f8f147aa57d41b5', '220cb02a56df8409', '06f89770ac98c0bc', '17207c6d01e581aa', 'ea75a24310baa880', 'a4d6bb9fa8b24cd1', '170b4b62ccec39ac', '18c331ce99f35768']; context = [[23, 67], [17, 65], [22, 80], [1, 59], [20, 81], [4, 54], [112, 156], [4, 44], [65, 110], [12, 74], [13, 62], [12, 69], [19, 61], [94, 142], [45, 106], [51, 95]]; loss = 0.009679 low_pass_filter = 0.300
+Epoch 0: | | 22329/? [3:47:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 22330; scene = ['9fea2e8801abfd5c', '9d11c0c1b866f4ce', '43ce05d6475da02d', '57374e9e079460f5', 'd691e78bc7e2b8b7', '3f793b8c1202aea3', '56134186ef38679f', '5032a59d3276a404', 'c3e652ba1e5767c2', 'b5a6bd7885cfa039', 'e78f54d920ccb3b8', 'c4c75b682e0cee7c', '49eb4d69de6420a3', '556db71008eeda6e', 'a6da78f1d8c8ddd5', '67b8cd009c384c95']; context = [[9, 70], [152, 205], [97, 138], [4, 51], [0, 41], [31, 92], [47, 100], [82, 121], [5, 45], [21, 61], [4, 42], [3, 39], [10, 46], [72, 128], [230, 277], [114, 152]]; loss = 0.009464 low_pass_filter = 0.300
+Epoch 0: | | 22339/? [3:47:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 22340; scene = ['fd11dfd85f7ec571', '0cdc19b76668685d', '300f90dbc5f5caf2', '4d3919cca0eba102', 'fc740fd1ede079af', '1456ee4280583260', '62150f8a9d2176f9', 'e89a821f4ae317da', 'ac42ff7b8e4119c3', '7fc02c1b66b7464b', '8f19401489503eec', 'f63601b5eeb07187', '3283be94eb01798f', '904d8b97e9e93373', '59caa671e1d05721', '246c5b6a15519b6d']; context = [[13, 63], [29, 70], [3, 41], [5, 68], [105, 168], [6, 68], [62, 121], [67, 107], [13, 76], [8, 48], [25, 63], [113, 164], [25, 69], [5, 63], [2, 63], [25, 67]]; loss = 0.009422 low_pass_filter = 0.300
+Epoch 0: | | 22349/? [3:47:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 22350; scene = ['35f1002ddc4fbebf', 'd3050899f139615e', 'ecac75a36d941d5e', '3b1fe6ab1ec38c05', '61b1040db43a48aa', '6be96a2ce575c89a', '273fce55932d575a', 'ee8a4c0cc4c523d2', '4931105c27ccd2b8', 'a67229c34e33f896', 'cd6999ab6b9c1038', '54c42ebf9c2e8c6a', '759a98733188003f', 'a316eb155d7e477c', '241d717da4a8eb58', '71911b4af12b9a16']; context = [[0, 57], [27, 85], [37, 92], [1, 46], [8, 71], [33, 82], [0, 55], [110, 164], [31, 83], [2, 46], [37, 77], [37, 86], [4, 51], [136, 189], [8, 45], [18, 81]]; loss = 0.008506 low_pass_filter = 0.300
+Epoch 0: | | 22359/? [3:47:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.50, train/active_min_children_step=4.0train step 22360; scene = ['4b15db7b359a0492', 'ebb2ee0fdf9adb4f', 'ae63b7ded897a531', '629c6f1eb4c7af9a', '4bb48481c6ccd349', '509ba1d49682702b', 'a1d8379126418c67', '89f434159557854d', 'a6ec4571131be6da', '4ed0cf754fc4454b', '223e2c052f914311', '478531030bb5fe18', 'e528d17adef1f1bc', '4c9b371e4c24c2f3', '8761503eabe5b1f8', '5878fff178507413']; context = [[2, 47], [13, 58], [3, 50], [8, 49], [129, 189], [28, 88], [5, 48], [6, 51], [18, 71], [28, 70], [20, 60], [47, 100], [42, 88], [38, 85], [58, 117], [128, 177]]; loss = 0.010629 low_pass_filter = 0.300
+Epoch 0: | | 22369/? [3:47:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 22370; scene = ['da6bfbd9e35142fc', 'f7bb1f4325835c79', 'b3019d4573e524f7', '2dce89a97b7df3f4', '97b724d2bcdba3ca', '649f95b9d22597dc', '7e6401b61f809b32', '37060663b671e231', '02768fad99be3290', '706abfac67ae7793', '10e61a5f06416ead', '040807dbd017dac4', '9a82203df3eb2e60', '74a6478d7568ab6a', '31c3a95961adbb6e', '5fa36547a2eaded7']; context = [[71, 125], [8, 48], [19, 59], [192, 250], [130, 174], [0, 36], [108, 152], [92, 141], [4, 44], [141, 183], [57, 117], [72, 121], [124, 166], [107, 161], [13, 62], [8, 47]]; loss = 0.010727 low_pass_filter = 0.300
+Epoch 0: | | 22379/? [3:47:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 22380; scene = ['d7adef0853c541b7', 'd5dc285dfb49017c', 'cfee77c0ae0956f8', 'f231ec8aae351c5d', '0ad07becd5278e08', '04858eed5963bf0e', 'f05b0d2de6f263ff', 'e4501419231443b0', '9895ddb78dfb1d04', '5441c943ec7a6606', '5c17394155748093', 'f70e853af8735679', '08fb0a49e76ae00d', 'd5700b39730d6f6d', 'b2a4b10693604581', 'a7a54b27565d7c3e']; context = [[40, 101], [187, 237], [19, 60], [9, 52], [151, 187], [70, 117], [56, 96], [14, 67], [115, 163], [200, 245], [9, 45], [57, 108], [54, 104], [42, 104], [11, 56], [55, 104]]; loss = 0.009261 low_pass_filter = 0.300
+Epoch 0: | | 22389/? [3:47:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 22390; scene = ['704f321e2f7ae62f', 'c315feff5caaf789', '1ab9594c7015ecdc', '117c40ed2a9e43f3', '82d16f436a69a71c', 'faec00f5ad1203b9', '6a770609acf21a54', 'b2262395c0d1bb4d', 'dbb0eec549cb5e45', '7ce0211de76d1a1a', '8dae5ef8abae8da8', '5f5bb12d476cdb64', 'ae267c0eaad7d286', '1fabb902ef63f533', '8b01b8a2eea580ff', '6cbacc1a289ed624']; context = [[105, 141], [19, 67], [44, 104], [18, 60], [0, 52], [6, 57], [49, 90], [110, 161], [2, 39], [35, 71], [5, 43], [132, 174], [17, 75], [6, 51], [12, 56], [20, 75]]; loss = 0.007819 low_pass_filter = 0.300
+Epoch 0: | | 22399/? [3:47:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 22400; scene = ['0dd6fb899f1e3a18', 'dbdfb42f84f5f2bf', '050248d92269fdd0', '3fd5003b2ddfc76c', 'e7cfbaa323e6a40e', 'fefee4a630297cdd', '39cdcc5feb2f7f4a', '10a259caf4519047', '14d78331d07a5797', 'ff4baf1fa516e521', '6592b3928e33a087', 'c93ea1bee6fcaa99', 'c15e9f65e844881b', '52e630efc8cd0959', '5eef7d76653d3c85', 'a8486538b6d9d2fc']; context = [[1, 57], [6, 43], [118, 175], [0, 52], [13, 65], [214, 255], [27, 68], [78, 127], [32, 73], [38, 74], [19, 81], [9, 52], [8, 60], [34, 74], [30, 92], [80, 117]]; loss = 0.010116 low_pass_filter = 0.300
+Epoch 0: | | 22409/? [3:47:49<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 22410; scene = ['fc33c2bb40bfc9f2', 'b0e2a9b7d0e9e31d', 'fd2c46067be23de6', '866dcd2492e1486c', 'a53c95a54a909cc6', '6eb626dd0d103edc', 'd84290aec2589a15', '7777e23e4ab8cf07', 'ce3c1b2e2d678ab1', '88195dba892d7a54', '9e35575322e0114c', '1d0e22466bf0510a', 'e7db34b4af6c7862', '471ecbb9b6d8499c', '906c19dae589665c', 'f3a2bc72a2f91be2']; context = [[64, 121], [1, 50], [17, 61], [19, 77], [4, 51], [38, 99], [8, 49], [12, 68], [104, 164], [6, 45], [8, 61], [20, 76], [16, 63], [64, 101], [4, 44], [40, 85]]; loss = 0.008209 low_pass_filter = 0.300
+Epoch 0: | | 22419/? [3:47:55<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 22420; scene = ['4de8ddccf7eee0ba', '8e9fcb869497ce78', 'f717191e3d9af1d7', 'c8a486b083a1b41f', 'bf4e983248554c10', 'b5057adf5224f835', 'b8e02ba0056b4c30', '53284766c7c0f818', '61f631d8fa601e6b', 'c947a2448e98cc2b', 'c4ed01fdbdc7851a', '8895de712e5fc440', 'ddfa73b45dfa987d', '9cc2ef713f12e92d', 'd0252dde8512de70', '184871528de94493']; context = [[91, 130], [38, 94], [68, 126], [4, 55], [3, 65], [64, 115], [45, 103], [24, 66], [85, 143], [15, 68], [31, 87], [68, 117], [157, 199], [16, 53], [100, 148], [34, 94]]; loss = 0.011225 low_pass_filter = 0.300
+Epoch 0: | | 22429/? [3:48:01<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 22430; scene = ['5f28b2d3f4828007', '7e8e66f4e02657d6', 'a5b032ef6a4d3ce4', '726308ff6efdfd6b', 'e63d845cb83be6c9', '37f28ca0c73ae057', '4b51e4231150adf4', '16fd5a162c4b0093', '283963dccb852f84', '2d9d2b3d1a7fb3ed', 'ffac01816b4f0f08', 'bd2cdd0dd1240f74', 'e1b044176586f8cb', '5d7b4876fcc0084e', '1f268c1c41e9163b', '2133828ac8c5d46b']; context = [[17, 76], [3, 57], [117, 169], [28, 76], [11, 59], [59, 104], [63, 109], [71, 107], [57, 111], [57, 95], [6, 62], [83, 134], [1, 38], [44, 86], [12, 64], [36, 74]]; loss = 0.013030 low_pass_filter = 0.300
+Epoch 0: | | 22439/? [3:48:07<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 22440; scene = ['2b144457be7cb305', 'e194ab9120ccbd35', '08fc2ff373ab5df6', '4338e66650fe497b', '3273a5974acd6705', '40c43ac3d0c1664d', '3103211bbc2408ea', '5ff34635d3805f71', '4e21171ba32ced42', '03c7e1fa9b3268c5', '01a9380a3dbe003b', 'f71d860c46301723', '2b7df22871f54645', '9dca41869c4232c5', '185ae2b3f49a3e52', '071e0d640a6c257f']; context = [[169, 215], [13, 64], [5, 51], [8, 68], [21, 83], [163, 221], [31, 68], [47, 107], [42, 85], [23, 82], [95, 158], [47, 105], [120, 178], [4, 62], [5, 60], [66, 122]]; loss = 0.011694 low_pass_filter = 0.300
+Epoch 0: | | 22449/? [3:48:13<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 22450; scene = ['554c3a05bdd75ba6', 'f07b2f30f82c54da', '1a261269ffa7e3dc', 'da1de03a9c3c0543', '4e4547cb06d31609', '5f93a3611386fa2c', '4eb0fb91ffe321e2', 'd05a0ee5ba0c25af', '43e26dd033c3ed78', 'd5684fa2b111efe4', '95d8bc250047b07b', 'c6d63a923255da1a', '394d15aa7eded273', '842f5177f9c7fa10', 'dbee8d73e5732008', 'b30badb6fa628bcc']; context = [[187, 224], [146, 189], [98, 156], [2, 48], [62, 100], [89, 128], [25, 71], [14, 66], [29, 90], [10, 51], [42, 86], [174, 214], [13, 57], [54, 109], [43, 105], [46, 106]]; loss = 0.008661 low_pass_filter = 0.300
+Epoch 0: | | 22459/? [3:48:19<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 22460; scene = ['33d38bd50acba191', 'ddc6e8abed84d947', '243515e0bc44ae29', '95f22b8591bf4be2', 'f1f59741a955ec70', 'b3f005eee8ef88ba', '628975d2e71891c0', '0066de2687c63b09', '08f6ccb311499ba0', '18dee61fc1815b82', '3242954a362c68aa', '6014363eff580dce', '4cbd9d8955a921fb', '71910327eda55592', '167a46f4392398b0', 'a508ec7fbde00d1a']; context = [[24, 80], [156, 217], [1, 60], [22, 69], [2, 42], [109, 160], [153, 201], [192, 241], [99, 138], [1, 40], [0, 54], [42, 79], [49, 106], [41, 84], [38, 92], [10, 65]]; loss = 0.011280 low_pass_filter = 0.300
+Epoch 0: | | 22469/? [3:48:25<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 22470; scene = ['f476718eca867e7a', 'd91f6e7263a2622e', '0ae16be3e6d6b471', 'a0ec91ac8cb3e9c1', 'f61c95386152c60a', 'b77359fd7f8f3666', 'b6bc3316b07d412d', '258a6cd6f9351454', '2d52b9450f899b47', '5f9b7e862d984558', '35bc2aaf03f2a1a5', 'b7d82c5309a92af1', '9d9bde4f139c0655', 'd6ae697220e70a81', '861de260074f925c', 'cf36ab0f6d8d0096']; context = [[9, 60], [55, 101], [22, 59], [36, 76], [22, 60], [16, 64], [15, 56], [40, 80], [33, 94], [79, 131], [25, 62], [28, 71], [20, 56], [18, 71], [13, 58], [0, 50]]; loss = 0.011747 low_pass_filter = 0.300
+Epoch 0: | | 22479/? [3:48:31<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 22480; scene = ['1471a5fdc5bd5d6b', '5bd9925b916632d9', '91583403fde33a20', '4419feca3b361424', 'f650d13792230fd4', '96b0b1c4e87606b6', '2713a35534850787', '6e81ca0e354790fb', '8fdf56dba0159b7d', '01de07e7daadeef3', 'c5a2a1b9854c9fac', '5ec323891006d34b', 'b0ff8c5c54470cd4', 'ed6cb4f3143f3d9a', 'cb70695033be49dc', '5b3d31121fbbfcf3']; context = [[145, 190], [2, 42], [25, 86], [109, 145], [27, 63], [73, 112], [99, 153], [40, 78], [221, 268], [8, 68], [2, 52], [56, 97], [51, 106], [6, 69], [27, 64], [16, 57]]; loss = 0.010696 low_pass_filter = 0.300
+Epoch 0: | | 22489/? [3:48:37<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 22490; scene = ['3d815e82280adf55', 'e81ad0d1b43649ef', '82287431217a5884', '9164e11049261164', '41b821e9ebec0774', 'a6740c97ce04f5bc', '58535fae1ec6f6a6', '17234337105b4fab', '027413557adbbb48', '7a1fc9f2f6a4db3b', 'bc053a53376b6547', '859251f4f243eace', 'fcdd1a23d071965a', 'e665c35b6f9f6ec7', 'e56a6d31db649cb9', '67c392fa9c39f4a9']; context = [[59, 99], [39, 80], [131, 168], [6, 62], [7, 67], [0, 50], [49, 85], [0, 61], [8, 62], [91, 138], [1, 53], [41, 100], [7, 56], [9, 54], [24, 83], [21, 79]]; loss = 0.013830 low_pass_filter = 0.300
+Epoch 0: | | 22499/? [3:48:43<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 22500; scene = ['1713fd97a984662a', 'bf6b4b934e4ebe0c', '714631624aba3b4e', 'f7f3a0fc0824b3c7', '8ef966b685a58bf9', 'cb4a606c07c51b91', '71c1c052632606d3', 'e63f98971b4a8c7d', '5e17c7b14a6238ad', '3d26d392a63a781c', '9559d128b3a1eef0', '78cb32401cc6b824', 'e41c005265b2a44a', 'f9c6bef8f2735fef', '8bc90a42341c548a', '52c96deb250798a3']; context = [[14, 59], [4, 40], [1, 64], [113, 172], [164, 218], [18, 60], [11, 59], [51, 107], [5, 66], [48, 92], [25, 61], [28, 64], [6, 66], [10, 47], [47, 108], [2, 55]]; loss = 0.009363 low_pass_filter = 0.300
+Epoch 0: | | 22509/? [3:48:58<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 22510; scene = ['96fa083c727e8576', '26982d1d02e9afff', '4fc52f6aeecd8f82', '63acaadeb84a31af', '969eae779f4745e5', 'afe08596b2895950', '88f7bc47eab8af52', 'be4f1d3a9081ec93', '951d3d3360153a68', '8ed5a86dea1245cf', '622a0d2554fc5402', 'aa1601b3c7e10e3e', '6c5e37d3a0fe6230', '0f6f85f900c47557', '014f71bd22de9f37', 'af96623802f4dddb']; context = [[56, 104], [31, 92], [21, 82], [16, 58], [4, 54], [116, 152], [29, 69], [92, 152], [163, 226], [51, 112], [40, 99], [21, 76], [40, 101], [2, 51], [2, 61], [7, 67]]; loss = 0.010191 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 22519/? [3:49:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 22520; scene = ['fc4e355ff4418069', '8110578b15c47f1f', 'd0a74bb17c56c058', 'f1e7b7bad2598536', 'f522fbe7b958f4c5', 'ba1f8b170d0e8724', '05f081ca4093fa11', 'df24bd4bbcc782dc', '0463216dbeb6db1e', '681f1e6504d0a8a5', '06986030244ef46e', 'da6b9c9d5841b108', '03e7fb2f748ad61c', '684aaf7f7b29f34a', '533f5b527e817a84', '95aea39a1302166f']; context = [[138, 186], [22, 64], [20, 62], [4, 50], [216, 270], [195, 255], [8, 45], [53, 115], [14, 70], [17, 74], [149, 201], [97, 146], [168, 204], [27, 89], [66, 114], [49, 89]]; loss = 0.009419 low_pass_filter = 0.300
+Epoch 0: | | 22529/? [3:49:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 22530; scene = ['3e4ee1fb4655da82', 'e142bdbc31cae90a', 'f8acae9d5aa8c560', '3c55515a280e20da', 'db8479f59abcc803', '49ec44f255323b8b', '58b0665f80ffccc8', 'd63833f83f138e65', '05e64ffbe1be863b', '1f7840b62cbe2522', '5841eb15726c674c', '064941adad8489fd', '9dd2c1c6262f1e33', '3407fa7d6d62c1f2', 'd19b2171a8edd830', '0a4f09fb7ef429ad']; context = [[44, 91], [187, 233], [182, 243], [1, 57], [2, 56], [153, 190], [47, 96], [17, 60], [6, 62], [6, 59], [23, 83], [15, 54], [8, 63], [0, 37], [1, 63], [59, 117]]; loss = 0.008543 low_pass_filter = 0.300
+Epoch 0: | | 22539/? [3:49:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.00, train/active_min_children_step=4.0train step 22540; scene = ['83dd55551bb380d2', 'f3d9d961e7865bb2', '7fd3d476aa6aef4e', 'f26569d1f35138a3', 'bc137dc3e2ae2936', 'adef9aca9df804d5', 'aea116811766749a', '7d50624fa2e20888', '4b885f6285d3fa5d', '331af5a6f01ab41e', 'ef5a917e58c55120', '8eb7a95a27a7e436', 'd4892209f4d03868', 'f418bd0b0734b3ba', '6515e94139622d0d', '197f639df425ce8d']; context = [[21, 77], [8, 67], [155, 215], [13, 65], [83, 137], [6, 59], [26, 64], [14, 68], [29, 68], [14, 55], [27, 84], [25, 79], [37, 77], [5, 42], [0, 60], [65, 109]]; loss = 0.012889 low_pass_filter = 0.300
+Epoch 0: | | 22549/? [3:49:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 22550; scene = ['1ef466c2f5e9397c', 'e7899ec595da145f', '98f893c44aa4d5ce', 'b2f45bfd5a0668b0', '6062ff955d0269de', '5e133cf4f2e3ea73', 'b248b09860307140', '22d5fc12e2b97512', '54d51c52ce0c1adb', '69191f26c8ecb690', 'a73adc456c696488', 'f4a34387a442d930', '7efc8e58de522f3d', '6da5c9af836b9a15', '44fa1d39a18b5526', 'f63e8858ae11bef5']; context = [[110, 174], [9, 53], [17, 68], [18, 74], [77, 134], [31, 87], [35, 81], [9, 69], [206, 244], [48, 103], [7, 49], [0, 51], [9, 69], [8, 47], [22, 59], [91, 144]]; loss = 0.010541 low_pass_filter = 0.300
+Epoch 0: | | 22559/? [3:49:27<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 22560; scene = ['db25ce184054217a', '58aec0707d094569', '656546e561aec370', 'db062134f9dec5f1', '6713a81ed431d91d', 'd34fb0e92018e2a2', '5d244ada6c250442', '7db4ed902d003a63', 'a025eda8d656783b', 'c8c116c28ca108b0', 'da127d5d82256afd', 'ef9a9a9d9f9d48d8', '35ca9463b81405e1', '99a47f816620e8d5', '93a3175cacb5cb3a', 'a1d3465ad97fb1db']; context = [[72, 114], [13, 57], [39, 84], [25, 79], [111, 174], [5, 47], [6, 53], [99, 155], [74, 131], [35, 78], [19, 72], [9, 57], [16, 54], [31, 78], [38, 89], [3, 59]]; loss = 0.008645 low_pass_filter = 0.300
+Epoch 0: | | 22569/? [3:49:33<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 22570; scene = ['7878ff9d2f929bff', 'cf3fa6c4bacc2e97', 'de9b8b8e08b9a045', '7c5f2a6693417896', 'b0b276251c83bb91', 'e432d8c790cca366', 'a89d49837b7303c5', 'd02f8cad1ec64f2c', '6dae04908285c48b', 'e58f27f45d7cce3a', '5e924b8c9d7abf31', '3875459f2c397848', '80b6fa3cb7a7a6d0', '065df4f6d6ac3442', '48d01db8f14088d9', 'c08928bdf05b26e9']; context = [[2, 42], [35, 75], [21, 84], [140, 191], [65, 117], [15, 61], [80, 133], [96, 160], [2, 55], [18, 81], [112, 157], [143, 207], [29, 92], [21, 63], [18, 66], [34, 94]]; loss = 0.011123 low_pass_filter = 0.300
+Epoch 0: | | 22579/? [3:49:39<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 22580; scene = ['574417986f69166c', 'ca65a604c0f00319', '7f4353922e24e719', 'd1a233764dfafcf4', 'a160e085a31100e7', '6bb5aa41ad44b00e', '5c56b0f05a358572', 'c25c954d46c315f2', 'c7aa7a7671b8b200', '5d5ec59fe7e455e3', '7952a6591e62cfda', 'ea9520df36c033cc', '99ecd2f9ce7c7330', 'baf88881d788b02c', '4c691165a406de40', 'cb1e9dbfda2add21']; context = [[22, 66], [93, 130], [63, 102], [38, 76], [48, 90], [164, 226], [1, 39], [14, 71], [2, 54], [138, 189], [131, 169], [86, 145], [0, 44], [18, 81], [37, 96], [12, 69]]; loss = 0.010449 low_pass_filter = 0.300
+Epoch 0: | | 22589/? [3:49:46<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.60, train/active_min_children_step=4.0train step 22590; scene = ['6a0bc4161911b7b6', '166e8a63d50289ee', 'fd5a7805e36ac44b', '5740ea28f40a1157', '622415481d35387b', 'b336537140e3642b', 'e767e1623adf0471', '0f7730277fc0ed26', '3c811ca3025087b3', '4d5b72274eaec273', '06b98faeaee4b685', 'fd0a48b3f2045c87', '58c3d4b20c0af4b0', 'ebedf7681c04968a', '386edda973505b9c', 'fff4563a61662382']; context = [[13, 56], [61, 124], [48, 108], [11, 60], [18, 68], [2, 47], [150, 205], [14, 76], [0, 39], [41, 102], [1, 58], [10, 49], [226, 268], [196, 246], [33, 90], [61, 99]]; loss = 0.014574 low_pass_filter = 0.300
+Epoch 0: | | 22599/? [3:49:52<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 22600; scene = ['ba1c15e73bfc4eba', 'a7842c63fce7452f', '838f2a96bb229475', '965a824427baf33f', 'fa4c59df5746e5ff', 'fd8ebc05ddadffbb', 'e4aa6bb24aaa6dcd', 'bb3a8be86231059c', '46265b0af1924017', '15d1a3b3fdfedbb8', '4efdc41ae90785f9', 'c49161c93cfc92e9', 'e896b9fac2351c69', 'f10a5801e857dd6c', '4fdffa46c5043ee1', 'c21bf69143442a3a']; context = [[125, 162], [109, 147], [19, 75], [26, 80], [2, 43], [25, 68], [0, 61], [8, 50], [1, 61], [103, 161], [64, 104], [5, 52], [6, 55], [36, 85], [15, 75], [31, 80]]; loss = 0.009532 low_pass_filter = 0.300
+Epoch 0: | | 22609/? [3:49:58<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 22610; scene = ['4577298e935ab57f', 'af4d90b5286718d0', '0264cec7a5303ccb', 'd8a2cf8b506f71c7', 'e0fc8d5106e28ee2', 'd59c00fd440ac6c5', 'ade900eea4013390', '71bb80ab49a07c24', 'ce5fbfc75c316c2c', '6b3e1c805ca87fd7', 'ae9f87b6c5c2c5de', 'f14d299d3c9989a6', 'f9e59718e238a159', 'baa0a61d22b9e051', '6d034c3b0328d696', '28a2f4302568c2a3']; context = [[13, 55], [7, 46], [2, 39], [15, 68], [1, 62], [97, 140], [5, 62], [29, 80], [102, 164], [36, 92], [0, 61], [53, 92], [26, 72], [80, 118], [137, 187], [33, 72]]; loss = 0.009739 low_pass_filter = 0.300
+Epoch 0: | | 22619/? [3:50:04<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.40, train/active_min_children_step=4.0train step 22620; scene = ['7264da2e5617c4da', '80c56b76ba0f1594', '49362275159e338b', '00ab0ac739885029', 'b8062aaa7a76eff2', '48a3d3197bea50e9', '6a5eaf28db8fee7c', 'aa2da4756cbc5fac', '16b21617bc0ec95a', 'a83fb8c2a25ac2b4', '215036beada7a57b', '92f91b8f1e566a36', 'ee1e685224259d5e', '06de2427c04c4608', '466101425e69ba66', 'f450b5eb36699b57']; context = [[12, 59], [6, 49], [203, 263], [16, 61], [1, 45], [74, 111], [222, 261], [75, 112], [9, 49], [20, 71], [8, 61], [29, 83], [16, 70], [124, 176], [25, 78], [149, 213]]; loss = 0.007825 low_pass_filter = 0.300
+Epoch 0: | | 22629/? [3:50:10<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 22630; scene = ['ffb34ef6c0333c37', 'f403f83a9cac4ba5', '3d313d32ec13ddd6', 'eb1785431a9d20c6', '4305d5a5fab3efa5', '7b8ae88adecfb87f', '6281f1e8ec9ca792', 'c3708bd52a94f1e6', '6b5033800250e9d7', '4d53551d81b226fc', '0d7fa88c790433ae', 'e15cc573a9fc5ba0', '272933b2e8080470', '489658664221ec4f', 'e2641f4a28a1b642', 'da86e5e1df676050']; context = [[44, 84], [41, 84], [0, 45], [78, 122], [14, 75], [2, 46], [96, 159], [1, 46], [45, 103], [13, 51], [3, 63], [3, 66], [8, 57], [121, 178], [1, 54], [101, 138]]; loss = 0.011002 low_pass_filter = 0.300
+Epoch 0: | | 22639/? [3:50:16<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 22640; scene = ['a72b94bee0c0c469', '5ceded5edfceb262', '68ac9aca7a4cae97', 'b88bc7e2f6a64a68', '7c3476a62ce00a5e', 'e316606831971498', 'afb48c56cc7ce3d7', '110eff3e7cfad06e', 'f0b964cc96ba3d3e', '28c433a75667a138', '4458d2b066bc5da6', '8f20f72494bf5bdd', 'd4f666ac0061eee6', 'b1fa3763e9862c47', '01042371ee0b76ac', '96cc4eac057b8f1d']; context = [[168, 209], [152, 205], [61, 105], [1, 44], [45, 104], [1, 54], [33, 77], [117, 158], [2, 42], [108, 159], [16, 62], [3, 42], [0, 43], [33, 76], [17, 70], [5, 44]]; loss = 0.009300 low_pass_filter = 0.300
+Epoch 0: | | 22649/? [3:50:22<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 22650; scene = ['16166f53500a5dc3', '6075fb811d2794e2', 'cc62a8c047cea639', 'ba6b9051d2f9ac9a', '069539334170c1c9', '2467dc0707ba0b41', 'ca9bea80d4e5bcdb', '04f4d235d970d694', 'c4c25091ecc2c5e5', '3ce0a9cc3874aee5', 'a45e9fecea8c15c2', 'a6631edae47463d4', '9bedb2eff1cc0ef6', 'af973133388b427a', '618d37c771bbfe59', 'e8dd58228cf4436f']; context = [[3, 61], [53, 108], [42, 85], [0, 54], [40, 86], [21, 81], [3, 58], [5, 50], [68, 105], [158, 197], [43, 95], [47, 85], [65, 116], [32, 78], [30, 81], [43, 97]]; loss = 0.010459 low_pass_filter = 0.300
+Epoch 0: | | 22659/? [3:50:28<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 22660; scene = ['ac9a1770e4ceba74', '01dff3e73e135695', 'e66860cc136f6424', '3bfec395b8c94681', '61827b8206bace2b', 'ca419d74fb847a24', 'b708eb4026ae8eec', 'f1107a1bee7889a2', 'b783fd026ee69b9b', '32b351130816f54b', 'ba2d21290ad804a6', '6584d26cd17e774e', '468d05fe9cae4c74', '44033cb44fc70e62', '55b6f9d7fd7b048f', '784d25b1c8496d7d']; context = [[86, 143], [163, 204], [4, 65], [5, 50], [36, 75], [126, 167], [1, 50], [12, 55], [134, 177], [1, 44], [126, 168], [70, 121], [72, 128], [54, 102], [32, 93], [57, 117]]; loss = 0.011200 low_pass_filter = 0.300
+Epoch 0: | | 22669/? [3:50:34<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 22670; scene = ['88cde88863b6ab2b', '00dd81dcd507fcc6', '0b02dfcb00bf1883', '48ac926ceb75979a', 'abca2a8b2e786913', '231cee207e92e4a4', '9f54bd5339c8b477', '050c893adf8f2dc3', 'b9e0629edf084b12', '1775c4b83b3abfe8', '182c45ad9d9feada', '65787cb75001c98c', '6238ed8f3db76cb8', 'e92c4e41e6dd1d3f', '30140ca605192667', '8d5adf5bb663ed59']; context = [[3, 49], [157, 210], [47, 106], [15, 75], [17, 60], [0, 62], [168, 232], [162, 200], [30, 87], [47, 100], [22, 78], [102, 159], [13, 67], [64, 116], [157, 197], [12, 54]]; loss = 0.010228 low_pass_filter = 0.300
+Epoch 0: | | 22679/? [3:50:40<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 22680; scene = ['ae3c3f56ced468f0', 'fdcd78c4432bd860', '07457060bef3d9ee', '8cf869157be6230c', 'b3d00cf94ec7c598', '0fe6d0e400918366', '44d2f5ae8a130e73', '04dabeccd47224d5', '2005f0e5c1dcf4f3', '5c9c06be50b78c13', 'b050a2d77eb9b60e', '006f41ee9800fecf', '162c744bcf4469e4', 'ae1ca5263f6a9d2b', 'c0eeedcbdaec3ce8', 'b0e43e5b01a0e1fe']; context = [[0, 37], [25, 86], [44, 81], [136, 187], [41, 98], [44, 85], [120, 161], [11, 56], [36, 90], [32, 94], [56, 114], [17, 63], [18, 79], [1, 47], [18, 55], [35, 96]]; loss = 0.009425 low_pass_filter = 0.300
+Epoch 0: | | 22689/? [3:50:46<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 22690; scene = ['5b2b7b12a414b300', '8673faf0a9d48165', 'caf101beca56c0cd', 'bf27821542c7f807', '6ee2c9a1e111922e', '6fceeb6dbfb1d42d', '23aee843b167a52d', 'eb4564ff70997029', '7c617fa11bf5df02', '68f7ee0def2ecdb3', '010015f4186d810e', '39ea2488a39e7648', '2cce8941668b2029', 'b25d1b038eaca4f2', '7404373c2938ee0c', 'b617e22319a08f26']; context = [[171, 217], [59, 107], [155, 215], [0, 43], [16, 73], [111, 152], [33, 91], [18, 67], [19, 75], [45, 90], [57, 114], [46, 104], [51, 106], [85, 139], [81, 132], [135, 184]]; loss = 0.010823 low_pass_filter = 0.300
+Epoch 0: | | 22699/? [3:50:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 22700; scene = ['4bb27aeb5837c556', '8cb09e31cbe80b3c', 'd5c6cf0d7192f035', 'ba72bcdad317f0dd', '367d250609302784', 'dc5940ca97dc2466', 'da9dc8b7a8d9b706', '817f789e08bfb0e3', 'af72f5eb3b6193e9', '7fe87b53d021aee6', 'b6a0afa8b19af0a1', '8ebea716db7c0f02', '6230f0839caa9ef6', '0c188eedc0ec62f3', 'a4e191fd5a703c6a', 'c02ff7145e53462f']; context = [[163, 222], [9, 54], [37, 96], [8, 70], [198, 243], [0, 63], [63, 114], [22, 81], [20, 65], [0, 64], [92, 149], [41, 92], [42, 95], [61, 115], [76, 134], [25, 75]]; loss = 0.012856 low_pass_filter = 0.300
+Epoch 0: | | 22709/? [3:50:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 22710; scene = ['b3f8039ec7fd3e4b', '73fc75bd5d1e83a9', '1823f9bce4742ed7', '5c552b9885372466', '06b03bd52b56ca94', '3281c500dfa5bf48', '67a7ae30083745d8', 'ecdc54656ce30f4f', 'f23d895422f28357', '9db73c761e584373', 'd0e8acdfd091d26f', '31abf1faeab6bd13', '0b472e112995287f', 'f78010c2da94ccc1', 'a679582e4dce4bc2', '08aa99b304f37fbd']; context = [[17, 62], [5, 59], [194, 242], [14, 62], [221, 276], [20, 77], [101, 155], [55, 115], [155, 209], [36, 96], [20, 78], [7, 50], [3, 54], [77, 116], [19, 66], [9, 50]]; loss = 0.012814 low_pass_filter = 0.300
+Epoch 0: | | 22719/? [3:51:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 22720; scene = ['1cf67dcee73f1c6d', 'efbf01ca01dda8f4', '322d3c9979c5f6d0', '05519147ca499d14', '9fe9c8baf0730f30', '887d4449540630d9', '75d9a26c318d615c', 'c3d8dd026931f46f', 'bfe6277ea60796e9', 'cb8ed23005fc6250', 'aab80bfddd3bd792', '4cd813b3c22aac8c', '9bb9087199582c6c', 'd0ed7169ce5f630b', 'cfcf204199e65d78', '1a90aae528bfbf17']; context = [[135, 190], [66, 114], [116, 164], [104, 167], [23, 63], [21, 65], [17, 63], [87, 141], [15, 62], [49, 87], [30, 90], [32, 72], [38, 79], [16, 75], [2, 41], [37, 96]]; loss = 0.009785 low_pass_filter = 0.300
+Epoch 0: | | 22729/? [3:51:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 22730; scene = ['d3edfadeed4bf16d', '0059ff3bc0a9b4c6', 'b1e7cbb83c7a1258', 'bc81e08ee7321620', '9df6d2d5fdb17248', 'af5b170dd00f375d', '94739072644d8de3', 'ceafc50a7ba41a5b', '55d3f2e5fd10a01b', '0790f14b976d94c7', '1c2094adf8c68792', '7192174862bcca70', 'b6cf407f46e0862c', '32eeb4a439a26fee', '197ed0be15628124', '5d273c36ce121599']; context = [[95, 145], [85, 144], [41, 85], [23, 60], [86, 138], [26, 68], [149, 209], [171, 214], [69, 119], [159, 216], [17, 56], [35, 89], [178, 235], [75, 115], [57, 95], [23, 74]]; loss = 0.010229 low_pass_filter = 0.300
+Epoch 0: | | 22739/? [3:51:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 22740; scene = ['f0a58c7d4fed3a88', 'a56643a01b020c11', 'a43bc11aa6cce69b', 'd5e225a84aef24a7', 'a28ad2d48bc4933e', 'cd916eca6a5850dd', 'c17f81d64774f6bd', 'b258d567622b6b49', '64738f5c93012be2', '56fc9a68c89746c3', '8731e4f6291df835', '28c4be784857bea6', 'ff1c09b5820fbf47', '4367d08eaaa983f0', '5d7cf77400ec9c60', '7f3747639c846356']; context = [[21, 66], [25, 71], [96, 156], [140, 183], [98, 147], [67, 107], [221, 272], [61, 112], [0, 41], [96, 153], [210, 269], [234, 278], [185, 239], [6, 57], [4, 53], [23, 74]]; loss = 0.010124 low_pass_filter = 0.300
+Epoch 0: | | 22749/? [3:51:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 22750; scene = ['ae08cd671996b1ff', 'e28ffd2fc4627268', '224077c8876d132b', '90af47b784746da8', '4ad89ebda1a41a62', 'f6b63e20382a6052', '2209341e8bd65dc2', '7de2ca731a4af54d', '00eead9faebb6daf', '714ac52a46a29820', '17d8d9419cdc2d4e', '7b84a9e2e7d8aa2c', '7816d1ccf7f11523', '8d6927aa2b7c5640', '26efd89887fea30f', 'cc71ef1d3925caa8']; context = [[34, 79], [13, 61], [20, 65], [1, 50], [30, 87], [115, 178], [39, 81], [151, 195], [133, 193], [3, 45], [39, 98], [2, 47], [87, 150], [4, 49], [0, 64], [50, 95]]; loss = 0.017815 low_pass_filter = 0.300
+Epoch 0: | | 22759/? [3:51:27<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 22760; scene = ['d9963ae38f556282', 'd56c1a8226330c78', 'a8d73f79bd0991a2', '42928282597bbae6', '483a3398bde8d8ff', '5df639b6091c31e1', 'c8e877a21e8c48bf', '5f50c0139db3d146', '78571463ec1147d0', '05b07df7b5443976', '63152876b2962eeb', '3bd8b6fc41cb1a82', '812f66c0ca94fcc9', '6ab4f1994ae94609', '2341163e34fee01b', '92e2c39c1b535214']; context = [[18, 72], [5, 55], [0, 60], [53, 92], [4, 58], [10, 63], [3, 55], [38, 95], [58, 108], [12, 73], [3, 49], [192, 236], [55, 101], [2, 59], [0, 40], [34, 80]]; loss = 0.009156 low_pass_filter = 0.300
+Epoch 0: | | 22769/? [3:51:34<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 22770; scene = ['6c9d30f8078cabd2', 'd2874cf14e0f0ce2', 'ea4914670ba6d0e9', '0777b711796daee1', 'ce57b9ebde2d907c', '64274f67bc885707', 'ff189499a6ed28d7', '3748e22aebddc113', '6c6276a02a533e71', '118e5ed190ff89e1', 'e34447ddccfc88ff', 'dfec7dc54f83b108', '22f47fa24b2c4091', '55c9115b95dff916', 'baa41c4e5a443681', 'ba0dc746d711489f']; context = [[90, 127], [38, 81], [14, 54], [34, 75], [4, 42], [16, 57], [29, 89], [12, 76], [1, 43], [2, 51], [149, 186], [84, 124], [125, 186], [26, 70], [29, 69], [10, 51]]; loss = 0.009082 low_pass_filter = 0.300
+Epoch 0: | | 22779/? [3:51:40<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 22780; scene = ['9b23277971f37b17', '9e6b1fc2cb9e258e', 'c150a69d763e0fd2', '771c41bed44766db', '00c5167e29241893', 'ecb65156238cc6a9', '03c010d19f1452fb', '4676d54100c9e75c', 'a983d5d23327ff9c', 'e242cd9849c42fe7', '0b9d66e2d4aea0fd', '3fbcf1abe6d59580', '01f39fc757f27d8c', 'e19ed05e2ace3cff', 'd9ca267ea9ad0d08', '6903e917c5bf1c37']; context = [[17, 66], [55, 97], [11, 55], [10, 51], [15, 55], [36, 78], [0, 38], [17, 59], [0, 60], [80, 143], [32, 77], [51, 105], [56, 101], [2, 42], [13, 51], [23, 83]]; loss = 0.010069 low_pass_filter = 0.300
+Epoch 0: | | 22789/? [3:51:46<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 22790; scene = ['373f042a22f7d6ff', 'cc7d521f0185cc9e', 'e6ce213193d24e64', '05ed7f84c7d34ed9', '7a552ba445f3a4c7', 'da6a06777bf70381', '55eee87b61d361b5', '7f838a041ae7c8c1', '5e584ec33613a432', 'cf2110a63b0ec3d3', 'feb5e3022fdc674f', '2df270a308fce16a', '54892db9883bdeb2', '52a73c0beebbd06a', 'e8b4e52e3f875679', 'e623a0ea7754acff']; context = [[131, 190], [9, 71], [6, 47], [60, 99], [33, 72], [94, 155], [64, 124], [211, 273], [90, 128], [5, 60], [8, 57], [21, 63], [53, 104], [35, 83], [0, 50], [29, 68]]; loss = 0.009724 low_pass_filter = 0.300
+Epoch 0: | | 22799/? [3:51:52<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 22800; scene = ['fc740fd1ede079af', '0cdc19b76668685d', '7fc02c1b66b7464b', 'd9fe6652451a430b', 'c1695cd6c0995eda', 'cef570ab285d57cd', '556394920765324b', '785aae46f263749c', 'c4f134a7df93ef3f', '90c8621facbe387d', '81ad54d5ffb317b8', '094e95643a9af0f3', 'f4c1819dbccb953b', '41e72019df0f1014', 'd56ac01183d2f244', 'd70d0085aaf262e8']; context = [[172, 218], [202, 264], [22, 71], [57, 114], [26, 80], [83, 140], [38, 97], [0, 53], [11, 72], [81, 130], [68, 120], [110, 168], [78, 142], [5, 69], [80, 143], [21, 79]]; loss = 0.008013 low_pass_filter = 0.300
+Epoch 0: | | 22809/? [3:51:58<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 22810; scene = ['36759e691725ce9c', 'd6625cb538e7f064', 'e952c4a90e3e9b1a', 'f3663bd0444d3f5e', 'ff68f1639ba712aa', '473b916dad00fc45', '5f599b35b87b30ab', '0c262b6bc566b453', '3dcc869dac9f202f', '843fe83814b8012d', 'e39c2ef3bbecc385', '7e435ecba3bcc6c9', 'f22b0491bc90af5b', 'e81c3eda0310ba4e', 'a9df52ac49e1dcbb', 'df11b2823a464dda']; context = [[8, 72], [3, 65], [1, 54], [15, 61], [13, 76], [125, 175], [71, 125], [114, 154], [131, 190], [179, 218], [1, 44], [0, 57], [5, 67], [89, 146], [18, 58], [1, 52]]; loss = 0.011154 low_pass_filter = 0.300
+Epoch 0: | | 22819/? [3:52:04<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 22820; scene = ['37f7b1641c315933', '09728c36d7caf6eb', 'b8ad1d63790b5941', '1deb23885f70a8ec', '970254d42af05e7d', '7c33974e393d64f4', 'a6e913cd15212b3b', '32f62cb29ae2faf2', 'ad869adf4a15dca3', '075920c1a2c6799c', '211f70fa0f48a957', 'df01e54b6ed8fad8', 'efdec51d6a4fb8cd', '0b91957d1516a431', '38b455cf1f68fbeb', 'e85cdca44c9d2128']; context = [[69, 116], [8, 69], [20, 65], [4, 46], [162, 211], [136, 173], [38, 83], [16, 65], [2, 47], [19, 62], [74, 111], [109, 166], [9, 64], [24, 87], [81, 122], [30, 86]]; loss = 0.011221 low_pass_filter = 0.300
+Epoch 0: | | 22829/? [3:52:10<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 22830; scene = ['fdcb3ea2a4ac0dfb', '866277971a76a6cc', 'e91c5ca70f486da3', 'ee6631faf6f3b9c6', 'a965dbff622934f3', '82c2b9c647d7210c', 'ac16e227bc0144d6', 'cc0e0ef9fb905d7c', '1c8f0e2c77d0d6ed', 'fe0501936e490d21', 'a84a41dd313166dd', '28cd601677611f69', 'a8ece41ea92c4340', 'b02fd64c2f3f25b0', 'abc5e19774a3490b', 'ec9b4508894b5084']; context = [[31, 71], [51, 92], [182, 221], [0, 54], [111, 171], [11, 75], [34, 77], [33, 73], [40, 78], [72, 122], [194, 250], [39, 86], [95, 156], [7, 52], [5, 60], [15, 63]]; loss = 0.007815 low_pass_filter = 0.300
+Epoch 0: | | 22839/? [3:52:16<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 22840; scene = ['f7dffb88e8919a7e', '0179a441837af0b9', 'db6ce23f93a9a0d3', '5994966dd0897ead', 'e24323b82d0671c2', 'e4fc6fa4bbd6efa1', 'c58d526cb2894a17', 'b11afc47f2feb21c', 'c05fd148d2da6d26', '73542beb07728c82', '72d7ff49071fa801', 'd2ad156576e078cc', 'c05a15168d4c3332', 'aa4938d7f2fd0a1d', '6bd24285280fac2f', '767a02e7d26e071f']; context = [[91, 155], [149, 187], [11, 57], [0, 60], [8, 64], [95, 155], [14, 68], [121, 181], [7, 67], [6, 45], [44, 83], [2, 50], [34, 79], [99, 153], [47, 89], [70, 111]]; loss = 0.013163 low_pass_filter = 0.300
+Epoch 0: | | 22849/? [3:52:22<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 22850; scene = ['044aef6ea72787b6', '98377a86faf72416', '27e52aabfbeab302', '955bddb48214275c', '6b7415674deeebbf', '457b960b904a9595', 'ad7dc6e721a37c89', '1d1e00281fad69e8', '427d49e96e58dc26', 'e9d74753ca5f50a5', 'fd63b19fb7bace40', 'a7e3532e7518fccd', '1f8a8b017c031400', '27d782023eb395e7', '50ea4e244743263c', '14d69bdfa0a25f61']; context = [[203, 244], [13, 53], [1, 39], [68, 106], [5, 55], [94, 132], [46, 104], [214, 263], [12, 67], [82, 133], [56, 110], [4, 51], [14, 58], [3, 42], [31, 89], [88, 147]]; loss = 0.011419 low_pass_filter = 0.300
+Epoch 0: | | 22859/? [3:52:28<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 22860; scene = ['c6fa4ea03de099cc', 'bbdfd0941d4d279d', 'ad91b5890f8cd86f', '38c7cf7a3199eb56', 'ff909d460f2ea5a3', '6185798eba1315d0', '180cd3034985cc24', '1bffd601523a9e81', '55c031734f736a81', 'f2d10a77f8715e44', 'bb68cf147d5ffdd1', '137dd2f35cdf8566', '0c3be1d749038cbe', '739492ced872e597', '866ede3b6acca477', 'fa06a83e1bde691f']; context = [[88, 141], [14, 77], [23, 67], [15, 64], [6, 46], [20, 74], [217, 271], [18, 73], [62, 121], [42, 84], [74, 111], [50, 95], [173, 224], [4, 63], [31, 75], [9, 69]]; loss = 0.011460 low_pass_filter = 0.300
+Epoch 0: | | 22869/? [3:52:34<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 22870; scene = ['931bcc26be9e4a7b', '907cc3fa5b4f274e', 'c229a0862750cb9c', 'd0a239ccef3fbe57', '3b26d9c5685e51bd', 'e4346a99bfe62ebe', '7d8a6ad17acd0c91', 'bdd986887ecdc814', '03e4b28a0b73c205', '95a2f55495af7a79', '5d4377c186d48768', '4a3564ac24e69988', 'eba16e2c6d32ed27', 'dd7e8f13aef0b6f2', '0611f2d02bc065db', '91e33a6f46dce12d']; context = [[20, 59], [52, 102], [3, 66], [31, 74], [157, 194], [17, 81], [14, 56], [0, 38], [161, 218], [10, 69], [24, 75], [26, 74], [48, 102], [3, 50], [34, 89], [2, 62]]; loss = 0.011418 low_pass_filter = 0.300
+Epoch 0: | | 22879/? [3:52:40<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 22880; scene = ['bad89e3e5f29f28b', 'c7e9aa0570c51824', 'e80fccd03453b167', 'd4db0477e6a51b9f', 'd503531bb5319abd', '0e62273ed3ef91ee', 'fbdcf089b0890ae6', 'd83c1aaa89852410', '3fc4d99af68cedb3', 'cee4b55b538a7310', '178ca92e6939c0bc', '7f04e2db1a0194ef', '9c40bd34bf257a2f', '0e12847a03d29c75', '386946683ab3f8b6', 'f3ca83f9f1a724e5']; context = [[20, 81], [53, 94], [51, 97], [130, 183], [6, 51], [110, 173], [25, 83], [51, 108], [13, 65], [99, 160], [41, 98], [91, 129], [100, 154], [9, 63], [202, 261], [11, 49]]; loss = 0.010641 low_pass_filter = 0.300
+Epoch 0: | | 22889/? [3:52:45<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 22890; scene = ['72a9a4ad61faf344', '760a466066968de5', '314b4534587e8e91', '27b5502283386ee3', '49f642c0373c7e78', 'e598c6c4d23a5619', '4213a78b00a65962', '4dce6855bd78d472', 'bbd574fc81d02bf9', '73c5ddec7618bb6e', '463a721c706cb237', '4610410bd5d02055', 'e1c60a5e0b091d60', '5ef111428d2f1048', 'efcab7b049eeac51', '2193bc2693b02611']; context = [[18, 75], [148, 185], [27, 82], [0, 41], [38, 78], [16, 56], [31, 75], [34, 79], [209, 259], [138, 198], [102, 153], [57, 106], [1, 45], [124, 178], [7, 58], [4, 55]]; loss = 0.010024 low_pass_filter = 0.300
+Epoch 0: | | 22899/? [3:52:51<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 22900; scene = ['fef87f5dfaea4c45', 'ec183e6afc500071', 'c20985a3dcbc340f', '7a1e1fd94e551593', 'ce5c3a585536ecb9', 'a17c6e0bdafd1259', 'c82a25e9661c7240', '45a8384ceac2792e', 'b5404b10b83a1ee2', 'ed1c8a74fbfc95f9', '18d6c850158b4165', '45c8ebb934f7442e', '74376eb028a5ffb4', '411cd9753a82d34c', 'b2357ef2ca896bf7', 'c66f724401775077']; context = [[11, 50], [18, 61], [66, 117], [30, 70], [4, 45], [52, 104], [18, 62], [3, 43], [57, 117], [16, 70], [38, 98], [37, 84], [9, 61], [141, 201], [104, 149], [119, 160]]; loss = 0.011142 low_pass_filter = 0.300
+Epoch 0: | | 22909/? [3:52:57<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 22910; scene = ['01f44320dba08f92', '6d484dee4f0c6961', '5fc9e60c271b9a16', '2a6060b83b5b422d', '68276e0a2210a4c6', 'c88d7508d0194c57', 'ecbe588b1196e1de', '21c78c4ca6f54165', 'b7707f9169cfbfd7', 'c23f64688bd5832c', '439c55db530b8bf0', 'a5dbef04d6fa313e', '417db333638be420', '68c8db171dab75ea', '765c6be0dc971f03', '371a69a4c08f16c9']; context = [[30, 81], [83, 125], [80, 127], [175, 238], [130, 185], [16, 71], [25, 73], [14, 58], [25, 65], [0, 44], [85, 127], [33, 82], [6, 53], [34, 74], [78, 128], [93, 135]]; loss = 0.008533 low_pass_filter = 0.300
+Epoch 0: | | 22919/? [3:53:03<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 22920; scene = ['f2a36c990a7f6a70', '9f4a33a7e6fc9402', '0e4223f5ba3ed4fd', '12d1e2faa3e53d42', 'a44f6d4d66d81f20', '5670b72ad22f4e1f', '364aa2dfbd59b2e4', 'eeb862802412ab03', '5c3bb18e78698989', '6c9bceffa427a354', 'd269eebf84aefd4d', 'b211dbab7ed11c64', '3a4bab0a7c1e4a2a', 'cecb4f7e9d017104', '993cf79b2a2312ec', 'a841ed546586950a']; context = [[31, 80], [4, 50], [198, 247], [22, 74], [21, 73], [32, 85], [4, 44], [211, 249], [14, 56], [84, 130], [24, 80], [47, 91], [1, 40], [3, 66], [1, 50], [32, 80]]; loss = 0.010022 low_pass_filter = 0.300
+Epoch 0: | | 22929/? [3:53:09<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 22930; scene = ['1c392cc98b3a7642', '32a20b1e5eba48c4', '337fbf1d3c3e4ff3', '229581725830ce75', 'a559ed659c3d87e2', '2eff6336cc3bf657', '231fd0a735520713', '1b4e1193347b5cbd', 'a3d0cca9fb57fd85', 'fe469a7381a1276a', 'e4127b01ba04fbe1', 'dc7fd20dc87e9c9b', 'fe1b841e883993c6', 'a0fbe6aa2ebe6cc7', 'a7183ba62f34173a', 'f239832e46a934bb']; context = [[201, 252], [123, 174], [0, 56], [56, 101], [35, 96], [87, 124], [151, 205], [8, 65], [2, 65], [4, 61], [11, 74], [2, 39], [48, 90], [0, 59], [11, 63], [2, 61]]; loss = 0.010860 low_pass_filter = 0.300
+Epoch 0: | | 22939/? [3:53:15<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 22940; scene = ['2a24ab8cf430a3a4', '46ccf57517d4059b', 'ab01d8b7ffcd74aa', 'c097909e36b59ebe', 'fef9d317e71c3122', '3d5757e1469432d0', '6368bc9ee243f179', '701d3ad6c3a3857d', 'b3c8aa705110b627', '832dbfcfd876215a', 'bb83dfc9326dcece', '5dc77f428548ef6c', 'fac5759c72a2be53', '1fce54998c9f0d76', '3bc13f9fbceb68a1', 'f6170122b129f7bc']; context = [[31, 80], [49, 100], [25, 63], [5, 49], [2, 59], [124, 170], [145, 190], [59, 100], [16, 78], [13, 59], [123, 163], [5, 60], [26, 71], [17, 66], [1, 50], [21, 62]]; loss = 0.010921 low_pass_filter = 0.300
+Epoch 0: | | 22949/? [3:53:21<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 22950; scene = ['3f18826f333d106d', '1b4c8f4eec6b6036', 'be214e004bc8d513', '3315c801dd9c35ff', 'fddbc6d91c32a72b', 'bce98e8b68871207', '9f9250ed1d854f72', '0d49d0970586d7e0', 'a77f347b88137277', 'ca4826b99127d53e', 'b2cccedbbe313d14', '057da8262a5b4f36', 'bdd08755eb0975e0', 'a997c1ea8d8b3557', 'c0ee81f4dcfffeeb', 'ba63c9bf12e48a01']; context = [[21, 67], [4, 55], [72, 134], [49, 98], [112, 160], [0, 48], [124, 181], [7, 62], [40, 77], [34, 85], [57, 114], [65, 118], [35, 91], [153, 197], [195, 259], [1, 43]]; loss = 0.008859 low_pass_filter = 0.300
+Epoch 0: | | 22959/? [3:53:28<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 22960; scene = ['f64382ecda10da42', '959d906c7ef5fd13', '2b63c5c022a05285', '9b0b1203fa711a60', '9f764191ad5c1c52', '119044f24d36828f', '778db35244748422', '1a4ab2ce09e00b79', '859236e0cbc2f4a5', '68742c3ac6d511e5', '2f2297ad8904a1c1', 'f733d225ad2bb09a', 'f97b13a0875462d6', 'e56221b081fdab71', '39d54c24ef63c2cf', 'efdfaea6c8f67e42']; context = [[5, 61], [43, 101], [2, 52], [45, 107], [21, 73], [0, 39], [23, 66], [1, 40], [12, 71], [10, 55], [17, 66], [21, 70], [45, 107], [4, 67], [128, 188], [24, 70]]; loss = 0.011306 low_pass_filter = 0.300
+Epoch 0: | | 22969/? [3:53:34<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 22970; scene = ['0635a3619c622723', 'c31a1cb20a151f9f', '81bbe2b570208941', '395316b48209d942', '42f27dfdcce98b79', 'ca39c07d99a4404e', '2ea9e3568a4d120b', '5dbcbba490ec1696', '0aab3fc9799f3c71', '0b3a912a284f41db', '008ec1473e4ce029', '5a009a925d1f7941', '76c4b3b42006ca8b', '5cb09142190cc466', '8b52f71d3cc93f45', '646c6facc110227a']; context = [[34, 79], [62, 107], [45, 107], [0, 39], [3, 41], [2, 59], [36, 96], [77, 128], [15, 66], [22, 77], [34, 72], [199, 255], [41, 79], [10, 50], [15, 52], [21, 79]]; loss = 0.010231 low_pass_filter = 0.300
+Epoch 0: | | 22979/? [3:53:40<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 22980; scene = ['553ca05b958288cb', '3875459f2c397848', 'b7313e349b510acb', 'c08928bdf05b26e9', '1b9e0a1958f29f37', '8828f1cc452795aa', '9025a2c878c65e51', '2c829a056844b920', '24d33601b8e09152', '41e20f4874e70840', 'ab1a429034ca6dcd', 'da730944311546b9', '82951bcec467e8b9', '24b61a5f82f26bdf', '4d836c051f02de01', 'd842261ebd54ac6e']; context = [[6, 53], [119, 160], [40, 98], [114, 169], [68, 115], [81, 143], [18, 62], [16, 64], [44, 91], [0, 37], [0, 57], [12, 57], [135, 197], [18, 67], [15, 79], [56, 108]]; loss = 0.007833 low_pass_filter = 0.300
+Epoch 0: | | 22989/? [3:53:46<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 22990; scene = ['ca32984655a98eba', 'a1a0bcce8001f776', 'a3a29f751ab5536c', 'd1910994e205375f', 'b64f6fc16d34be37', '861fd42e408817bc', 'd7771ae79c3f26a6', 'c063a92c7a44b6a0', 'd862527a043561c9', 'bc5f4b5e37f71aec', 'f7b38b4801c35c54', 'f8448a1d0e098580', '50b06a884fcc14b4', 'fbc5036fb7f22807', '0b3c71b1a879326b', 'a6b152d906ff93cf']; context = [[8, 52], [148, 188], [97, 134], [0, 53], [87, 146], [71, 131], [17, 55], [68, 110], [17, 77], [0, 51], [19, 60], [164, 219], [21, 80], [5, 45], [99, 137], [41, 92]]; loss = 0.008761 low_pass_filter = 0.300
+Epoch 0: | | 22999/? [3:53:52<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 23000; scene = ['409fd2b33d0f048d', '48e4327984b07710', '3b7204cf5739a9c3', 'cb68d683bc8bdf94', '0d18b707a0cf79f5', 'cdb3ab8c4d3cc875', '15ca4fd4acca4454', 'df21531dc06b63e3', '7e13ee50ac165936', 'e82896a5cb57d42e', '39a77b613c2ae277', '154c7d81aa48f34d', '5cfa2c069a5e90bf', '5600f2eb6ac7dffa', '6053c1082310530b', 'b0991d21aa299896']; context = [[1, 58], [121, 175], [48, 107], [28, 65], [0, 37], [4, 46], [15, 76], [175, 221], [206, 250], [70, 111], [23, 64], [9, 56], [164, 207], [56, 108], [15, 69], [3, 49]]; loss = 0.011224 low_pass_filter = 0.300
+Epoch 0: | | 23000/? [3:53:52<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0validation step 23000; scene = ['7b1ff8281519a3b6']; context = [[15, 67]]
+Epoch 0: | | 23009/? [3:53:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 23010; scene = ['46bc953615be05fb', '9af914baadaade0a', '65f21b4e27c1e26c', '469365c17f61001a', '63be9c98ca2453d5', '6128a238af3743e4', '9a5a417c708dcd2d', 'ed10d336c38397e6', 'c50f58adfa650ab6', 'b1dabee1febd0442', '09e14846fbca0bde', '81637509e07d2f70', '185dd19a374374ee', '2ecfe92d63af8e8c', '02696502ea9fd95f', '98b704ffc9ad975b']; context = [[19, 83], [27, 84], [17, 55], [1, 65], [25, 89], [2, 54], [19, 83], [23, 78], [67, 117], [9, 49], [14, 57], [49, 90], [0, 48], [7, 58], [7, 70], [3, 46]]; loss = 0.009594 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 23019/? [3:54:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 23020; scene = ['4055b055606e283b', '15d0496b4ef33361', 'b5260341870c7aa0', 'ca2389f5e4fcfe61', '4bacf868d6095406', '8d6f84d1ca63da4e', '031b56a2e1e4bbbd', '5281a8fb06713250', '4360ac16047eba4b', '172bf6877630ca5c', '645a09d7d7670e8d', 'd24dd458d5427d7d', '47a6a231c819c5a2', '3122465597e9f593', '466a81cd2b82849a', 'a62ed7edac42b08f']; context = [[14, 55], [28, 72], [124, 176], [70, 129], [2, 65], [16, 72], [12, 76], [53, 104], [45, 89], [7, 53], [215, 266], [53, 111], [110, 172], [25, 72], [104, 158], [88, 136]]; loss = 0.010021 low_pass_filter = 0.300
+Epoch 0: | | 23029/? [3:54:11<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 23030; scene = ['66ff41cea8340d76', 'bd4fcd098e3b2bfe', '32a3dc431068bef9', '3ad5f6586ea64736', '68adfaa6a96e15d9', 'a56f0d62418193a5', '423716b02f72a648', '794edeedc5c02c51', '7df06034f65de997', '2dfa7cf25db7aa64', '0ee7e810d79b3a9d', '1201a08ff8429b5c', 'd4ae811346614131', '9c0d1421ac23aac5', 'eac342d936e459d0', '1413db38e3f70b4e']; context = [[34, 74], [73, 120], [113, 152], [61, 112], [33, 74], [133, 184], [105, 143], [7, 46], [27, 83], [61, 114], [198, 256], [205, 262], [75, 134], [28, 72], [30, 71], [58, 118]]; loss = 0.009158 low_pass_filter = 0.300
+Epoch 0: | | 23039/? [3:54:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 23040; scene = ['7d28d9be17cc753e', '521f8d6c129a7932', 'c8547c77ba402e10', 'c40d15d6fffefbc7', 'fe759d52e38b706b', 'ade30db949097860', 'cdf984f86c84834a', 'c819caafc76c9cfc', 'c4daef951d450aef', '292b3b21ca24a79d', '50a652406775f17b', '9deddb62800639d8', '7a68894ff54c6cf7', 'cacc3b4e30cf8a9c', 'dad2645e3acc1168', '32e250e3ac90c53b']; context = [[6, 52], [10, 61], [53, 114], [111, 159], [12, 56], [75, 117], [1, 65], [1, 45], [132, 196], [0, 57], [139, 199], [37, 84], [22, 74], [196, 257], [91, 143], [22, 72]]; loss = 0.011264 low_pass_filter = 0.300
+Epoch 0: | | 23049/? [3:54:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 23050; scene = ['1d81f59588ab98f5', '8c67d77a1f9a6b14', 'd1b9a1b70474466f', 'b370b579bf5e3c23', '7039734be2f00317', '2e770da39beca629', 'd0a703be7fbaa9db', '5f0a8cfefdaaedcc', '25714926505648a8', '44d3592b6d997c07', '6334eb2a180fb8b5', 'b26be48a0dd1a901', '743ec6cf3ab79c26', 'fb2119204043e502', 'ccc88847b881770a', 'a5fa77b4707f4bad']; context = [[36, 99], [34, 73], [2, 65], [0, 38], [28, 89], [127, 168], [12, 69], [126, 185], [54, 97], [97, 136], [7, 58], [27, 80], [119, 161], [113, 153], [14, 60], [75, 123]]; loss = 0.011298 low_pass_filter = 0.300
+Epoch 0: | | 23059/? [3:54:29<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 23060; scene = ['726f0a3790509b48', 'a34da6e33030e973', 'c0e8cd79f73611d6', '55706f538594e6cd', '8db9ff38e05c3ffa', '95e0a2399dbc6008', '610e089703fbf242', '7808917f0ae566fe', '8be1d279b9a576fa', '880ce15f4c5534f5', '982b49d62fce9a8b', '11f312ad09ee6d28', 'f20d239e72115520', 'c236a71b90766557', '8d8bc81314ee7d5c', '2536108e699d5da7']; context = [[61, 122], [26, 88], [34, 84], [59, 112], [35, 88], [45, 97], [88, 149], [51, 92], [76, 128], [172, 220], [55, 110], [61, 106], [4, 47], [28, 90], [29, 80], [45, 98]]; loss = 0.011346 low_pass_filter = 0.300
+Epoch 0: | | 23069/? [3:54:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 23070; scene = ['2265940253865c97', '672ca946adb2b946', 'bde13a97348df4aa', '5045a1d0f49b19a0', '2b93c95f7163e0c2', 'f5469b8da26b732f', 'f62a962df5c26a1a', '1c8d12c5b0bc707d', '2054cdda3bb0e2fa', '718a14926e4ab38b', '663a8a7582d050fe', 'c6c62fcc26699f1c', 'bace6aaf91d1dca4', 'ffae0c358d55ccd6', '166f9c05d54a10f8', '5975e2b2db5bc608']; context = [[56, 114], [0, 52], [10, 56], [20, 74], [68, 130], [7, 70], [9, 57], [0, 43], [149, 201], [14, 78], [53, 95], [13, 69], [44, 81], [6, 44], [0, 37], [2, 39]]; loss = 0.009906 low_pass_filter = 0.300
+Epoch 0: | | 23079/? [3:54:41<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 23080; scene = ['863150365b96d490', '1ff9ce1364d2efb1', '43b7abf89a494856', 'a9a48de4023eeb04', '64b678d5084f9868', '1f4505aceb623cad', '3fd7cdb6f823bb9c', '435662fd057e76a3', '209dadd5726fd0eb', '4734e02082441a9e', 'd0ec88df750371c1', '8d64e74fe905ad2e', '8266cb4dd06d753a', 'b4a0e7d971e39e2e', '7b794ebebffe09f6', '34dd90f74228f1ce']; context = [[5, 61], [37, 94], [43, 88], [40, 104], [0, 42], [7, 65], [9, 60], [26, 73], [35, 75], [66, 103], [192, 237], [2, 50], [21, 65], [110, 154], [53, 107], [0, 37]]; loss = 0.008605 low_pass_filter = 0.300
+Epoch 0: | | 23089/? [3:54:47<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 23090; scene = ['6f61d916513afe2c', '04d184f9c745910a', 'ccd9f68bb34bbff4', '193b94e9f655def6', '68d9927e6218be67', 'e5aeb6cc73e1ef60', '201e14c1395bb7e7', '604629605df53513', '5dc337c78c9c2f4e', 'b69975c3fd6c9bf6', 'aa2c714ead9d4071', 'e2f3157c10aa655b', '4b1ace7056c3ef7c', '1df539eeac09987f', '5357eb29cb81b3fa', '61fa76215dfcaaa6']; context = [[85, 142], [69, 124], [175, 229], [3, 64], [81, 124], [10, 47], [19, 73], [67, 123], [6, 57], [43, 94], [30, 92], [67, 114], [40, 93], [51, 100], [20, 58], [74, 122]]; loss = 0.009174 low_pass_filter = 0.300
+Epoch 0: | | 23099/? [3:54:53<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 23100; scene = ['aacccbcbc0722240', 'eb61796d301ac994', '1b98355278b3ca52', '28bb7b161e83ed60', '4fce6c47c4c214d6', '1c697e1b376ee31e', '98b8e9f58887b2c8', 'e1d6178ea1fe6d44', '1008647325f7f5b5', '1213665a8be72518', 'f3d31f34aec130c8', '0404b811068d9c22', '1c4245944a44dcb5', '9d80c1f7f8a6c541', '73d02b88114f918a', 'a4af5e3b9ffa8726']; context = [[51, 97], [41, 88], [14, 69], [30, 87], [32, 87], [39, 88], [47, 87], [13, 58], [8, 56], [5, 48], [75, 119], [23, 73], [89, 133], [114, 151], [54, 105], [6, 54]]; loss = 0.010497 low_pass_filter = 0.300
+Epoch 0: | | 23109/? [3:54:59<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 23110; scene = ['eb8f2b118bd13900', '93596e1cfdad25b8', '94fd1b7d39c254a3', 'efeaa466d6d414c7', 'b3c43704ee2efd4f', '4d6d1fa8e570dced', '1c0c6085ace8b5ac', '3be8c5ae6c95c9b4', '11a50f1b50fcb1e3', 'a1687c09273c771d', '8e6471db97ef4a0e', 'aed0866b978534ce', 'd28a2455cc34badb', '90702eeb91bbddd0', 'f8e45b89d92fde53', 'bfdeccd02efa13d8']; context = [[25, 82], [109, 162], [69, 124], [62, 109], [37, 92], [5, 54], [61, 115], [52, 109], [33, 91], [58, 102], [109, 160], [11, 63], [59, 117], [40, 98], [3, 52], [129, 167]]; loss = 0.014192 low_pass_filter = 0.300
+Epoch 0: | | 23119/? [3:55:05<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 23120; scene = ['39c33991bfff3e83', '08a75a450ebd71fe', 'c4e0a84e7e269d3d', '87732cfa339b6202', '3815cba3f4385bc6', 'a91d501f33a28dc7', '337dc31602bf2187', 'af4763770bda7625', '1adc869076b62522', '277808ef17892255', '7b1c88b4328c29f8', 'e48218dcf5a6fcb4', '73c2ef569a3b523a', 'b409b939c42031e5', 'b0ef58c6b07982ce', 'b1b3db39f2a90eb2']; context = [[46, 111], [26, 68], [56, 100], [1, 64], [9, 58], [30, 82], [19, 71], [0, 54], [116, 166], [34, 96], [4, 49], [120, 185], [16, 68], [35, 89], [132, 177], [26, 81]]; loss = 0.010246 low_pass_filter = 0.300
+Epoch 0: | | 23129/? [3:55:10<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 23130; scene = ['6bc817f3c0390bc3', 'b04a2c353213cab2', '3256408a8d621dbe', 'ef429574a626218a', '760d19b34b29e803', 'a7cd55db44b041f9', '9bf3c74bfd34a2cf', 'fc80bd93e17d88ef', 'e25ac0781026a846', '58e2b9657cdccb2d', 'e4b5d724ca5a3ad4', '406b4a3292eccd0c', '77c62a956f8cdd9c', '572f32e265ac87b9', '7def78248910be07', 'bc54192b89ee8018']; context = [[4, 63], [5, 59], [61, 104], [4, 68], [31, 78], [1, 42], [37, 93], [8, 73], [29, 67], [75, 129], [25, 71], [6, 57], [1, 42], [30, 90], [80, 144], [24, 88]]; loss = 0.011757 low_pass_filter = 0.300
+Epoch 0: | | 23139/? [3:55:17<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.0train step 23140; scene = ['a3fc4bb219200eba', 'dc17a6a8584311bc', '91995cefc8e62e40', '2400829229f41b99', 'ba696be52c8963ad', '5b7ac0707d715641', '048a072d80637ced', '26ab4bd8802e0b3b', 'a3e68f2a6b87063c', '07a9a32c46e67df3', 'f7d839262e5cc647', '84dd6be769a13042', '90da26a5b04b69ed', 'd9ff7a8b9114dbcd', '280d6636eae33dd3', '93598ff73741eb47']; context = [[0, 59], [112, 163], [186, 241], [12, 65], [26, 87], [37, 81], [16, 70], [41, 92], [36, 101], [0, 37], [51, 105], [49, 87], [8, 73], [0, 43], [76, 136], [28, 87]]; loss = 0.009305 low_pass_filter = 0.300
+Epoch 0: | | 23149/? [3:55:23<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 23150; scene = ['42a2a2c546bb8d24', '5c4fb0add49cbd58', '3bf31ebdeb63cc76', '6fa353a8d73efcd9', '3e44b0211bff141f', '165a82d668cbdf2f', 'd2f557eafe8a2d12', '3bbd78ba78e45acf', '4f904d8b36a45943', '51d7fab7ae0c2302', 'be3401ce13a4180a', '31798bae7e83522a', '4908aac28b307cd9', '5f200e3e880b2225', '1e34da8488eaf819', 'a295c966b22883f7']; context = [[54, 103], [6, 64], [12, 63], [0, 38], [37, 102], [3, 68], [70, 109], [8, 73], [14, 63], [28, 75], [77, 130], [152, 194], [48, 89], [3, 61], [83, 130], [109, 151]]; loss = 0.010789 low_pass_filter = 0.300
+Epoch 0: | | 23159/? [3:55:35<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 23160; scene = ['db6af3fa70500a44', '88afe2f77a163f98', 'f74e257110aba96d', '16149ec14b18ca2b', '1c90cb2d24fd41fc', '09874eb1884f53de', '7d7eed77289fb947', '17bece5cfebc3428', 'db661815480bb340', '475c74936027f242', 'd74d97ede645d0e9', '42c3e35803878175', '1b5e1ad1d9c9e3c9', 'd02fee3a4d2fc50c', '9ff35d834d3535bd', '659413092374c91d']; context = [[14, 54], [33, 79], [55, 95], [211, 275], [19, 73], [155, 200], [2, 60], [60, 99], [86, 132], [3, 42], [35, 72], [60, 112], [14, 69], [130, 190], [2, 43], [1, 59]]; loss = 0.008033 low_pass_filter = 0.300
+Epoch 0: | | 23169/? [3:55:50<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 23170; scene = ['0e2a7276966e584d', 'f798bf110e50ae05', '35158f6e65bf766d', '084a1a3fac0ab7c3', 'bbb8483976a16ac6', '9afdb3b4bad232a4', 'b0189789fe6bc9c2', '4cbfaa52325775ab', '99ea5cb9b803daca', '71d8d0a848667302', 'fac20ccda46a7de9', '814b717a61c0f68a', 'c0b86b59d18f6879', 'cdf58ec9c7e4a601', '2ac9ab25f56721ef', '0882ca13b9d93357']; context = [[42, 105], [92, 149], [217, 274], [131, 195], [1, 50], [108, 154], [14, 65], [58, 106], [56, 114], [80, 119], [76, 120], [16, 68], [96, 148], [48, 92], [67, 129], [29, 71]]; loss = 0.009874 low_pass_filter = 0.300
+Epoch 0: | | 23179/? [3:56:06<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 23180; scene = ['76810a4a9a8a5881', '6644381edb8a743d', '8da4bcb68f4b2ad2', '8b135d931be60e96', '4fa36bb201c663fe', 'd28e51f7abc39fa8', '9d0a4fd3ccf87bec', '08bb716811ad5ecd', 'a487942818768a7c', '8c28c08ae1073c93', 'd0b182fc6f8eee19', '7c1d3a1a543cafec', 'e35efbb0c598de5c', '414ad220fceb324d', '6400e0008fe087f5', 'dd8936d3dfe2e92f']; context = [[115, 169], [3, 42], [6, 60], [5, 55], [158, 198], [24, 67], [28, 77], [234, 272], [120, 162], [107, 144], [0, 62], [95, 136], [8, 51], [39, 90], [75, 125], [2, 42]]; loss = 0.012474 low_pass_filter = 0.300
+Epoch 0: | | 23189/? [3:56:22<00:00,  1.64it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 23190; scene = ['849bb6781ce6dd59', '6f6b3630c1daf8bc', 'db085f4da5bb3a11', '1d08d09515970972', 'c1fec197b3a59315', 'abffceaf0098faa8', '853afb68eecbe04d', '77d9893ba17a1330', '71d24f4e70b1596e', '1a251dc2dac5cd26', '6454334af1aaabd9', 'c3b82a52e6317dcc', '0ca219e558a9ced6', 'cd758d9a770e3004', '0d6296f944a5527f', '0d769b8f95716ff4']; context = [[2, 52], [7, 60], [3, 58], [8, 63], [1, 38], [3, 51], [21, 64], [62, 112], [152, 210], [1, 62], [90, 140], [20, 85], [21, 60], [1, 43], [2, 54], [11, 60]]; loss = 0.008410 low_pass_filter = 0.300
+Epoch 0: | | 23199/? [3:56:29<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 23200; scene = ['deace859a58d2b95', '2a738a49db16bea7', '3daf1eabf19c93ec', 'a64972f2ce3ab93c', '27227056e078032b', '5ab460913e459419', '0bfdec70b0e4848b', '660049329792fb5a', '0eb9e454131b34eb', 'b775a9a9bf4414f3', '9e1e0c91770bd262', '9dfd3bbd48348c20', '106a576f0475f716', '82c4c3cc8badb053', '999e445bd69b8a33', '6635166741b9774a']; context = [[1, 39], [3, 54], [12, 61], [79, 142], [44, 105], [91, 151], [2, 42], [2, 43], [21, 81], [16, 60], [1, 62], [70, 108], [119, 168], [1, 38], [114, 158], [158, 202]]; loss = 0.008555 low_pass_filter = 0.300
+Epoch 0: | | 23209/? [3:56:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 23210; scene = ['f0f96bb7ac3ec738', 'f73e525030617d22', '3afb5d28d32fe31b', '481eaa0e0208530c', '9fea16da5934281d', 'e18573d92ab9ebf6', '48252a4b54c04894', '7665f3aca38b0220', '70b657330ca11de8', '210a554ba8d9cd87', '4ea42f87aebcb998', '5635970d790ef23e', '8d0a735a877f6368', 'f5b22f85a5ab4806', '50ee87260cc88f0e', '7f50766e4ef0d24a']; context = [[29, 79], [3, 45], [3, 65], [12, 63], [122, 181], [161, 215], [17, 80], [20, 70], [15, 79], [5, 43], [19, 80], [105, 145], [16, 75], [6, 46], [48, 108], [15, 52]]; loss = 0.010104 low_pass_filter = 0.300
+Epoch 0: | | 23219/? [3:56:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 23220; scene = ['0ae6dfceec6e70ce', '1265b84659f7b698', '671fa86ae5c0029b', '614bea87443c8233', '112744002d2b3a37', '4ca702261e0aa0fb', '8fd66059741a9dec', '852e5a7dff785556', 'ce1dcc286572c12a', 'bf3d2b28685327a4', '4d48be6420bc5e40', '5877db77d7294c97', '0b5ff448f7853d84', '43d97e84680e64f1', '1fef926907307c31', 'c8dd5c6396f67bf9']; context = [[5, 51], [51, 103], [69, 110], [10, 74], [1, 41], [8, 60], [76, 139], [214, 273], [16, 76], [7, 69], [50, 112], [1, 42], [51, 88], [219, 278], [2, 44], [20, 73]]; loss = 0.010109 low_pass_filter = 0.300
+Epoch 0: | | 23229/? [3:56:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 23230; scene = ['af6d66e39934570d', '976cdb75e3f78c9b', 'b4ffacdfb98be7ce', '1dc2ebcd887c71e6', 'b5acc7b273a8b91d', '00e3a0aea2fcdff6', '3be7d7aca547bc9c', '241995896e6747bd', '005758861029cf83', '9fa0ffd6f3c3c219', 'f8df6b5b731213be', 'f6c2ec175de3468d', '912d4cd827238ee3', 'edb0f2f1872ff393', '109d95d5de8c2056', 'dd4916f348c17aa0']; context = [[3, 53], [117, 154], [0, 52], [12, 74], [25, 64], [15, 53], [130, 172], [32, 86], [64, 101], [6, 58], [115, 160], [34, 87], [1, 53], [13, 74], [34, 90], [0, 39]]; loss = 0.010610 low_pass_filter = 0.300
+Epoch 0: | | 23239/? [3:57:00<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 23240; scene = ['d8563131cb9d153d', 'b5237e6b6780cd09', '7675274ae392957c', '71791474009b1187', '5a32c690eedfa60e', '3e0aff49cbabd07a', 'f3dcced9d38fa6c1', '4b6823a1112b87ff', '8d07885c4025b4af', 'abd71f81b292d209', 'd3689d2f8bd82d10', '5f3e924963ab36c4', '48d50fa60bf26802', 'd9da7b0337345d3b', '8bc37f0e5297a486', '6e39991f48d99673']; context = [[12, 62], [8, 72], [22, 80], [1, 40], [63, 116], [16, 60], [10, 68], [42, 104], [96, 149], [9, 51], [2, 39], [3, 42], [26, 68], [100, 164], [193, 249], [122, 165]]; loss = 0.009107 low_pass_filter = 0.300
+Epoch 0: | | 23249/? [3:57:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 23250; scene = ['5e78af90c3e5d57a', '6f0f0133f8cd5eaf', '6e4f4a49ea0e6a3a', 'f299ba5cdef8e35f', 'd96f4644b2bc561a', 'e91ad187bebc2b26', 'bba36936dcdaf4c7', '1987e5287cf07ea9', '5f61074b8462150c', 'f76feb4610bb70a5', 'e7a85a4315af4cc1', '957a51e4ffa1a8fb', 'e0686e6326f8c08f', 'ab42a131df988c32', 'ba5e5fb5abf3ed66', '11cd107f829eeb46']; context = [[22, 65], [6, 68], [0, 40], [4, 48], [39, 84], [29, 93], [132, 177], [3, 43], [97, 155], [71, 122], [182, 227], [133, 174], [82, 122], [17, 82], [34, 85], [18, 56]]; loss = 0.010051 low_pass_filter = 0.300
+Epoch 0: | | 23259/? [3:57:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 23260; scene = ['847e971064ea8f32', '523bfe6ab10baf4b', '88d7f43eec1eb9dd', '7815a0c0228b211e', '89fd30333a66d781', '944bcc2f8a199c68', 'f44605ccfe673d4c', '2c6fc82128274bd2', '8cb4470c0c7f0985', '35e49450766e4a76', '243a2a73f63d8030', '61181f74c27e63f9', '7057134a8223acb2', '0c078986e514e489', '6f22d394be3ac612', 'd7f47882099f78d9']; context = [[4, 69], [23, 65], [1, 39], [118, 160], [66, 129], [38, 89], [12, 58], [4, 63], [35, 72], [57, 121], [66, 129], [4, 49], [13, 67], [65, 117], [0, 50], [11, 50]]; loss = 0.009535 low_pass_filter = 0.300
+Epoch 0: | | 23269/? [3:57:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 23270; scene = ['c0d38d3d85f3587f', 'd313beae64da1921', '92e2dabb88e7dd3a', 'c10891ad7ea54ec5', 'edcaffd1682e71b5', '3dba3a2d55a5fee7', '40ad9f0aa3879308', '164bcba551f4c2eb', 'cb2a9c3de4c5c411', 'e7061b51397d5257', '71ee360b52170939', '5de5a2de423e339e', 'f666844989675472', '065e83ef77dc057e', '9ac3336c0601d0c8', 'fe1f82f2988800c4']; context = [[27, 90], [1, 43], [60, 118], [23, 70], [42, 93], [8, 49], [17, 66], [25, 63], [18, 58], [40, 80], [205, 256], [6, 43], [144, 196], [28, 91], [146, 197], [6, 54]]; loss = 0.013235 low_pass_filter = 0.300
+Epoch 0: | | 23279/? [3:57:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 23280; scene = ['4798943ef0cd4af2', '20a7799abd66e4b6', '6df10a21f6199b47', 'd8b09b24377b1425', '9e544dabc36a0ab8', '1d152df28d3ab39e', '0e9a747769b52c1d', 'd85fc004f78d82fa', 'fb80184b2024a29e', '191c72150925a58d', '99f1c2a83be00a5d', 'cfe86f4d4e636359', 'd41d914f1dfffb80', 'b3befd39ed25cec4', '400caa0619a990a4', '47cd9a752d3fb63f']; context = [[88, 126], [4, 53], [37, 81], [50, 102], [18, 67], [63, 103], [30, 80], [2, 41], [72, 131], [5, 52], [23, 68], [48, 107], [43, 89], [69, 114], [54, 115], [96, 141]]; loss = 0.008758 low_pass_filter = 0.300
+Epoch 0: | | 23289/? [3:57:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 23290; scene = ['e520f0d8cd4572cf', 'b6bd3a469307c0dc', 'e505cd420cb3a0c0', '75196bdec738648f', '9348c6f9d6ad46fa', '64099cb5702f6baf', '360ed1677f1ae4fb', 'aa35c34f6959d1fc', 'a0db5c89cb97f1b7', '21542ec974f794a5', '3462bb5ea3a6722f', '9be4f7f194641876', '22ad4d6b24d8eb3e', 'fd76831770670610', '16550b4843bda7c9', '0f72af29e689aa51']; context = [[3, 40], [51, 110], [199, 246], [0, 38], [8, 46], [11, 69], [2, 64], [165, 213], [14, 58], [0, 46], [153, 194], [63, 127], [22, 73], [4, 64], [13, 64], [0, 46]]; loss = 0.011239 low_pass_filter = 0.300
+Epoch 0: | | 23299/? [3:57:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 23300; scene = ['21810cdd510b3446', '7a6718d2b81f0f64', 'e69e5f4ed16dece5', '4fd849e3dcbb6a13', 'f01e99ab810e4019', '52ebb1e5244c98f8', 'c3f2f8a62aa92419', '0b8494a5c91c18a9', '5435e53721106caa', 'b8c66dab70ecc10c', '998b6467b6301a33', '7e7f5feb008dd9fb', '3f158594cbb7a77b', 'a40667b9b3b2beb3', 'a8cbaa3a2cf23f3b', '07d4ca1dbb7321fa']; context = [[20, 72], [0, 40], [89, 128], [48, 106], [64, 110], [43, 107], [20, 71], [8, 61], [124, 165], [10, 57], [2, 58], [25, 63], [43, 95], [12, 61], [12, 72], [4, 44]]; loss = 0.013223 low_pass_filter = 0.300
+Epoch 0: | | 23309/? [3:57:48<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.30, train/active_min_children_step=4.0train step 23310; scene = ['bcbd3ed453c1d5c5', 'c46cc0b22cf0e2df', '8291ffa5d473ed6b', 'e8f40e73fd9848f3', 'c3ed8d0890eca234', 'ac5ffad34ede2b27', 'aa85f1d551661c8c', 'e7cb8f00fca8b54f', '2636a68b00cbb8dc', '14cfc11be2d81617', '03ca963d98ce5eb4', '2098543766877f2c', 'e71374d746eca58d', '0c8d65b305f7dec7', '554de88b345618cf', '4ef9ea41d2491db2']; context = [[31, 85], [25, 75], [178, 215], [66, 111], [32, 91], [24, 84], [103, 156], [56, 107], [7, 60], [44, 89], [109, 153], [59, 108], [24, 79], [13, 50], [70, 128], [4, 52]]; loss = 0.009509 low_pass_filter = 0.300
+Epoch 0: | | 23319/? [3:57:54<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 23320; scene = ['8cee9991d18c1f9b', '7d25a46eba7a6f2b', 'ce83b2cb583c5746', '1d09d68c42cd89c7', 'e6acd6116662f723', '61b47f4bc7d7d615', '4766a59534d8c3fa', 'a933dd5b3cc0619a', '51cd6076ede052db', '5a5fbc148348f33c', '8d04b4ad182fd80b', '161dae1b062279f8', '07ff09ea4dfd63ce', 'bf823878e0d74fc9', 'd09b82c6b4496a66', '99ce731cb66281b7']; context = [[39, 87], [51, 106], [18, 63], [18, 74], [11, 62], [123, 172], [36, 88], [158, 222], [7, 56], [62, 125], [7, 71], [164, 220], [49, 102], [26, 82], [38, 81], [30, 93]]; loss = 0.010431 low_pass_filter = 0.300
+Epoch 0: | | 23329/? [3:58:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 23330; scene = ['a444a7437f926143', '242d6d1663e92775', '5fcb79cdf2edd14d', '322083b9a4670c0e', 'd7e57fa8efeab0f4', '4c48ee1906d98759', '2b22adb0f3e6fe45', '2ea429d644e38f65', '03af818d3239f255', 'f5471975e1f7a3da', '4b374b06ce7baaed', '72b7cfc5c04ba073', '30de28493bbbcd31', '511f289d8a770c6e', 'ba487bd4664b625c', 'aec0147e1835cc70']; context = [[5, 61], [137, 196], [27, 80], [61, 113], [1, 58], [0, 37], [124, 186], [4, 46], [189, 237], [1, 46], [11, 53], [134, 184], [138, 197], [27, 91], [1, 64], [0, 38]]; loss = 0.014973 low_pass_filter = 0.300
+Epoch 0: | | 23339/? [3:58:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 23340; scene = ['96f428c26a493886', '6297d2e2430c2951', '245007bd10b2a438', 'e9eecd2f4af1e41a', 'e0540e2d6160e242', '78718ab636cea9a2', '92095761993aafea', 'e64f7803e7ad44f5', 'd8c6ae0c604d9622', '4064d154767da583', 'f5778a3b1ed4f412', '18514db20990ca5a', 'a8c2deda7fac85b8', '4bcd11d183d71da9', '38d69e165f128786', '4dc48b004403f622']; context = [[3, 53], [194, 235], [12, 77], [171, 227], [14, 64], [5, 48], [25, 88], [18, 68], [1, 55], [17, 75], [135, 188], [210, 272], [158, 216], [5, 46], [94, 159], [31, 68]]; loss = 0.012039 low_pass_filter = 0.300
+Epoch 0: | | 23349/? [3:58:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 23350; scene = ['e160faecc21bd431', 'e2f8593ab819939c', 'db94d811017ceff9', '82065e7ce51acd3a', 'a17ad78f3de1747f', '07b91d8606616953', '6e65795a976312b7', '346c571507de5452', '9d5d32f2e63f94a6', 'cbb133671b625ca2', '4d65c764fda63e65', '4d850750a62bd77d', 'ede431bc93326650', 'dd5bde1ccda76492', '3093cfc489c8cd2f', '224c90a016589fec']; context = [[92, 139], [3, 64], [2, 58], [41, 78], [0, 54], [0, 54], [71, 108], [25, 80], [1, 49], [154, 216], [21, 85], [105, 163], [36, 73], [76, 117], [122, 166], [41, 84]]; loss = 0.010229 low_pass_filter = 0.300
+Epoch 0: | | 23359/? [3:58:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 23360; scene = ['0d089a7777ef9331', '1b6f492332735a7d', '02117ff3b3d4530b', '91245106e17ab7d8', 'cd9a2a66101702dd', 'd4bd67622f4d47ad', '4bd505299fae2fbe', 'f788136c098c2df1', '701b6f6bd99f0c0f', 'a8c50decb758680d', '11c2ad3eea536668', '025a7ee48054a98c', 'b751e63c5d0ceafb', '5fae9c21ebf04523', 'f0ce42e2f9ea8b48', '975e659085713da1']; context = [[2, 66], [104, 163], [18, 74], [25, 67], [13, 75], [31, 72], [22, 61], [11, 63], [199, 248], [135, 175], [31, 70], [2, 42], [35, 96], [49, 89], [107, 162], [228, 267]]; loss = 0.010444 low_pass_filter = 0.300
+Epoch 0: | | 23369/? [3:58:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 23370; scene = ['2ce0b28922029595', 'a18b5e5cff3d2ed7', '84a677850a497c1b', '203a0f1b9d11a60d', 'fa465f3c4ff91646', 'c71a3f7b89568081', '2cae9357db942907', '8a982e13ab083f88', '594fbed6ddcf5d76', 'c81d4754f0698b08', 'f4f25a0c7f0a7678', '6ac14f7de01b3021', '644baf494fab7ff7', 'fbfb9866efe5bf64', 'd81f183e644ae7fe', 'dca4d9700ae80a91']; context = [[52, 101], [68, 120], [15, 57], [17, 73], [76, 122], [65, 107], [20, 67], [31, 71], [16, 61], [8, 65], [22, 62], [8, 46], [2, 64], [39, 94], [1, 38], [46, 83]]; loss = 0.009068 low_pass_filter = 0.300
+Epoch 0: | | 23379/? [3:58:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 23380; scene = ['e8f23f5065972ddb', '959d7c0bd7c04b24', '97535c54a3152d44', 'eb8cf09366261059', '5902666d915570b0', '89a9e39e205dcdf5', 'dff4d6192ffd1042', '0d2286f126b83312', 'ea194405414b27e5', 'bc9ed05d37d20268', '547dec9fc8a486aa', '82853cb679bdc466', '737f19eb418ef107', '563209f8f6fa0856', '50321b969aeed936', '9757e5d3f5898474']; context = [[46, 100], [9, 48], [15, 66], [206, 254], [7, 72], [49, 91], [24, 65], [66, 112], [127, 181], [8, 73], [76, 137], [8, 73], [5, 56], [11, 52], [2, 47], [170, 210]]; loss = 0.009958 low_pass_filter = 0.300
+Epoch 0: | | 23389/? [3:58:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 23390; scene = ['8c9c9fd339183118', '755f4a06377d1633', '5c6254d344551863', '00bbf676b3378549', '5b32aa8371edec0f', '8aac6e58ac48fd15', 'd63314ee9d11a5fe', 'd3395f68f3233b97', '5354b259bb11a731', 'b42870de310cce44', '937f8e3d9793a726', '12911b4f97d706b0', '9bd0682ba6f3ea5f', 'd9e0fc931a94def3', '62e480eda89b85f4', '65444d8a8606b7f3']; context = [[24, 85], [11, 57], [18, 83], [5, 62], [6, 70], [13, 64], [30, 85], [18, 66], [184, 241], [6, 67], [9, 46], [21, 79], [83, 123], [31, 73], [7, 54], [57, 106]]; loss = 0.012467 low_pass_filter = 0.300
+Epoch 0: | | 23399/? [3:58:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 23400; scene = ['ccc8bc2c0a1afe2b', 'aa15562d0b9fc205', '46fdcfb57e885cf7', 'eba4cc5c26d8e9bb', '0b77e5de7ce53307', '4b8efa3bc5da9935', 'e074b60eb41d2f87', '78f7b900deceed5f', 'c575d310027813f0', '90827de57d11dfbc', 'a3b40a2b4d814ce4', '04414b8a41fd221b', 'df6f4c2bb1a33680', 'c61b17c9269901b5', 'c97e8fc87ec7a723', '466f49a7cc7a9e48']; context = [[9, 66], [74, 130], [11, 70], [15, 65], [31, 73], [44, 108], [1, 51], [58, 99], [59, 101], [146, 205], [24, 78], [49, 93], [4, 60], [0, 56], [139, 196], [112, 170]]; loss = 0.011538 low_pass_filter = 0.300
+Epoch 0: | | 23409/? [3:58:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 23410; scene = ['445634d65b9394fb', '8e95236d29403f90', '3f67255226893958', '26dd5a371da578b2', '01adadff46865ec2', 'b77fab4ece94942f', '38b363e3d000f037', 'c26cbf75018b9deb', '1997a21f798ca9e3', '6959505fc3548caa', 'adf613ef8a2abd2c', '3d4b0ee5fcfc3045', '1890ff1ddc9ba18a', 'b0d9894841315ac1', '7f2e1fb8a23a36f1', '01d7bb5fec91c594']; context = [[3, 44], [7, 60], [77, 114], [30, 70], [163, 221], [21, 70], [29, 92], [72, 118], [83, 148], [31, 72], [19, 73], [208, 254], [61, 117], [31, 91], [21, 77], [27, 88]]; loss = 0.010408 low_pass_filter = 0.300
+Epoch 0: | | 23419/? [3:58:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.00, train/active_min_children_step=4.0train step 23420; scene = ['60680008495d87a1', 'b212a26fcbd831b1', '124e818bc6629165', 'cb737f7107cee760', 'b6e89f7809809f76', '9054ce433694ecb3', '3a89f41e5980d3f8', 'd351ba344c572b7c', 'c2c54fc36968cda8', '979258bec9c70a3a', 'fea5962ba2801a13', 'ea52b783452118d3', '9a7654a56ef3ba60', 'dcdc4b3354df0b67', '0e07cc5fd39081f0', 'c146e1944b766179']; context = [[162, 219], [0, 37], [94, 150], [68, 105], [2, 47], [223, 278], [38, 85], [15, 76], [14, 69], [73, 123], [2, 52], [117, 181], [10, 55], [3, 58], [6, 60], [31, 69]]; loss = 0.011877 low_pass_filter = 0.300
+Epoch 0: | | 23429/? [3:59:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 23430; scene = ['b5eaad4a2942352e', '0e24133e564d8c79', '2ee60f30bf7cd949', 'e732030e9b6687c6', '3a19113b55068671', 'b3b384e4e6bb7637', '8c5c1527382bdb11', '64554b0854be0a81', '15f4341cfd79ef34', '93d579f589e7e2b6', '111b613111694571', '5b39b4c3d4a08974', '8c302407c7823198', '6f4cc17690dcdd2e', '222307f0de237e9a', '5d80dc463d9b37c4']; context = [[0, 52], [26, 87], [18, 60], [20, 75], [10, 65], [25, 81], [64, 106], [29, 84], [5, 56], [1, 39], [10, 55], [3, 65], [26, 86], [3, 50], [52, 91], [27, 73]]; loss = 0.012268 low_pass_filter = 0.300
+Epoch 0: | | 23439/? [3:59:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 23440; scene = ['646e226b3273506c', '484b4c48d5113593', '4da5d0ad927bfb10', '097dcf41471c991b', '5c0bc82c30577aa6', '211386db971dc3f8', '92c9c24bacf4d6ee', 'e0e41af517c97c32', '12dcff965389b09e', '283389655c3f1483', '736d4b798beb0a35', 'eddda29a27d55c83', 'c9c1e2b910019ebc', '93b0d5f4f00f5971', '34cc043eac727166', '3975666832e5ad4c']; context = [[32, 69], [0, 37], [9, 73], [115, 170], [1, 56], [46, 96], [23, 87], [10, 62], [121, 171], [35, 84], [184, 225], [34, 81], [33, 74], [29, 73], [136, 191], [21, 79]]; loss = 0.011716 low_pass_filter = 0.300
+Epoch 0: | | 23449/? [3:59:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 23450; scene = ['a1bb2ada3181ffff', 'ac64aa93f8140066', '138c39b21212c53c', '284f5ab7de23b695', '2813da755d297391', '36373e191159d044', '23467cc831529738', '7f2f43cf7a4adb40', '265ab8c5130603c6', 'a5dc410ab6b6ffdc', '172007be3056a5e3', '87f309174a1f7823', 'da5e405bf55673d8', '89610e2709f7fe4a', 'f3c8c41d370f099b', '9147af809fdbd541']; context = [[14, 72], [59, 113], [185, 241], [65, 119], [10, 65], [15, 71], [83, 125], [53, 111], [90, 130], [12, 60], [121, 177], [38, 99], [0, 40], [4, 54], [29, 85], [17, 71]]; loss = 0.009330 low_pass_filter = 0.300
+Epoch 0: | | 23459/? [3:59:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 23460; scene = ['b8dbe84d40168153', '4af7e21e451c4bd3', '826259ad3304c0c8', '7e79c57c6189a138', '8de4405e1caba870', '09727b443eef18dc', '1bbde963ed300641', 'b3a300b233aef618', '44fa7aa13c6dfd8e', 'a9e476f8069c0785', '08181ef1861a03a7', '7555e47b02789beb', '62eeeb4ecfb9d1cc', '9287db30ff7af69a', 'a864c0d0ec25cb6e', '9c37763c5138d4a0']; context = [[103, 156], [42, 105], [173, 222], [2, 66], [15, 80], [115, 175], [4, 63], [7, 49], [73, 129], [17, 60], [0, 48], [28, 76], [63, 107], [133, 183], [2, 46], [1, 43]]; loss = 0.010138 low_pass_filter = 0.300
+Epoch 0: | | 23469/? [3:59:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 23470; scene = ['408d2ec12e5814f6', 'a307016cafabfcfb', '7139dc5527cea06f', '6f618ecdf22e38de', '63bc150f6dabeae5', '84727cf519681ecc', 'de9452d754cf1a63', '6be9fe4a43a26b4f', 'f113e3eb8512e251', 'ff8ee30336673235', '8038a594dd50c839', '8a20ea3b37f8de6c', 'df6f4c2bb1a33680', 'c61b17c9269901b5', '5240036d17983338', '6a5b0451e24d2289']; context = [[204, 244], [34, 77], [53, 113], [87, 126], [3, 59], [37, 79], [33, 72], [171, 224], [190, 251], [10, 74], [135, 195], [118, 171], [22, 74], [7, 49], [78, 137], [9, 51]]; loss = 0.008448 low_pass_filter = 0.300
+Epoch 0: | | 23479/? [3:59:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 23480; scene = ['295b0768d718d6ab', 'ca12dbcebb3869ad', 'fd6698d9c1b2edaf', 'fac41d1437899793', '982713565101573e', '6aa984b54d1372d2', 'e1571800001bf8a0', 'f05c1d092c6ceb18', '4bdef6c0c3e06ae5', 'b194d521d939fe38', '50194a15c7538e1d', 'fedac3f5aef8fd81', 'd5384f379810516c', '9024684dd45d925a', '92d39fcc144b5253', '541ae18b8f936d11']; context = [[25, 67], [0, 49], [10, 69], [1, 51], [136, 194], [20, 77], [91, 131], [47, 106], [0, 38], [7, 56], [33, 80], [46, 90], [136, 180], [143, 194], [2, 42], [35, 97]]; loss = 0.011013 low_pass_filter = 0.300
+Epoch 0: | | 23489/? [3:59:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.60, train/active_min_children_step=4.0train step 23490; scene = ['7b7ad57e64ab318f', '54f68167ea012743', '7abd2cf015e33118', 'bebcc76384ce0054', 'aecc8b4894a6aae6', '197f44e74be1a9ce', '6b21da0655218fd8', '455c51863f2aa674', '5ccfd0265106128b', '56043db5b991f162', '5dc8c8ccb2deffbb', '50d215b08bfbc224', '2f63e3a9182de269', '862f094f79e994f2', '94e88b73ac271c35', 'de77c9f9e6f506da']; context = [[14, 75], [4, 58], [114, 163], [43, 104], [11, 49], [64, 126], [220, 268], [8, 71], [5, 58], [22, 87], [25, 72], [7, 48], [49, 104], [5, 62], [78, 131], [0, 49]]; loss = 0.008745 low_pass_filter = 0.300
+Epoch 0: | | 23499/? [3:59:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 23500; scene = ['4cd1cf3b7d672659', '505697452fa243f6', '2a4ac176399f16b0', '9c3f970e0901e956', '2767f5518baeb060', '8e481a83f1b68949', 'bdc7f48c83230b3d', 'c890bd86e883aae9', '3e2dba0df6626ad0', '897f99d6944efe16', '3ad6c4faa9fe5e60', 'e290173c0fde2ae8', '919d9ffa7703bf0a', '4102f7e202592faa', 'bb3c42b6434a231e', '8160c9bb2be20ad2']; context = [[0, 52], [61, 98], [45, 89], [3, 60], [12, 58], [19, 57], [28, 73], [42, 103], [44, 108], [30, 68], [21, 80], [130, 187], [13, 53], [40, 90], [66, 103], [2, 55]]; loss = 0.012442 low_pass_filter = 0.300
+Epoch 0: | | 23509/? [3:59:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 23510; scene = ['8b9263af01b07969', '8ec369930c8cf16f', '39ca0009cdabba68', '3ca99a6faf336ee3', '3d15b388862266da', '65f0e3e59c13bbf7', '42512ca51e222e21', 'f6d65c637ff68de3', '171b7984269c478d', '2d6e4ce01b803bfe', '67fb1d1f68b8103b', '19c82c4edda91a31', '3a74cdb34b1b79e1', '38f263a412fc1696', 'd7b1ea6c5fbdb3fa', 'c21ac4985720cb50']; context = [[6, 61], [0, 47], [0, 37], [114, 157], [22, 80], [39, 99], [62, 119], [2, 47], [1, 62], [39, 92], [6, 70], [37, 98], [37, 87], [29, 90], [0, 46], [5, 59]]; loss = 0.010846 low_pass_filter = 0.300
+Epoch 0: | | 23519/? [3:59:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 23520; scene = ['dcfe017a032faf61', '17e623adb5750061', 'fa1dfca0f0dd4bb1', 'ae25c3b3bd733c0c', '186027b25dee6234', 'ec1789428dbe59d6', '446f07aceef2d476', '1f30d10e3f754c66', 'c5223ef0da739843', '715c63bb45248252', '86d35668ab8b30b4', '453c9df8e4a96816', '0d6e53a797be79b2', '3cffbbab0d4fd5f2', 'a9c47c6038013d7c', '3a5ab862f3c3d360']; context = [[30, 89], [4, 66], [33, 79], [7, 68], [61, 111], [37, 99], [35, 84], [12, 58], [31, 92], [17, 65], [1, 62], [11, 48], [93, 158], [169, 228], [45, 92], [28, 78]]; loss = 0.009564 low_pass_filter = 0.300
+Epoch 0: | | 23529/? [4:00:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 23530; scene = ['a0b45bab75d35ee0', '625e3aa0ff734714', '0ce0280408216d05', '42000d5a83b48ee4', '04b859d3d26366de', 'f92964360d184d99', 'bd99ad1d47bb9005', '3d9f44d7bdd0796d', 'b1de49fea231bb59', 'bac2fdf599e88c8f', 'cdc6955dd0be5407', '3a4ed9dec73debc9', 'e32b0c5811341901', 'bed487ae39240b79', 'f9e4b5c344fd8902', '8cb183849a6041b6']; context = [[20, 71], [64, 109], [36, 77], [5, 49], [1, 64], [0, 39], [59, 102], [27, 91], [32, 69], [21, 85], [157, 218], [10, 47], [224, 266], [11, 63], [171, 219], [110, 158]]; loss = 0.009479 low_pass_filter = 0.300
+Epoch 0: | | 23539/? [4:00:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 23540; scene = ['6dd69b3cb0c8a491', '024bb4ce31dabd6e', 'e84be2b7dbe7e40f', 'ee0fbb691be99141', '472298ac40ecf118', '14ac35ac552b2a23', '845acd6a583ba124', 'f846c063935c77bb', 'fbac6f26c8753fac', '12228ffb8fab1ceb', 'e693e3a626e92694', 'bed079cdbc26fe22', 'bc662fabb0cf45ce', '42023d3c17fea2c7', '7bf5d242551c800f', '353833adfd1ffb1c']; context = [[10, 60], [0, 41], [38, 94], [2, 61], [56, 104], [25, 71], [1, 59], [38, 76], [2, 45], [27, 87], [11, 52], [24, 89], [211, 270], [13, 64], [5, 51], [5, 46]]; loss = 0.011505 low_pass_filter = 0.300
+Epoch 0: | | 23549/? [4:00:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 23550; scene = ['0b82d6fdf7a104ad', '69bf6e0583b4603e', '04493f75414c6933', '1a306618ca817952', '7549b399afe41ed8', '70d6690412f088ce', '9e49a49124564a6f', 'c94d226b402bb584', 'e83e99bb33c1a3e2', '18da6c73b59a3d9c', '7ae0bad2e96fc0df', '152a93ab43d95813', 'b2f053581c6a54ed', 'a00f87e22e7a7e17', '722eb1a6448ff0ce', '6a9597d09203d7bb']; context = [[37, 91], [102, 147], [19, 69], [78, 117], [43, 100], [31, 92], [127, 189], [3, 40], [220, 266], [8, 52], [20, 72], [16, 71], [169, 221], [0, 45], [31, 78], [136, 175]]; loss = 0.009377 low_pass_filter = 0.300
+Epoch 0: | | 23559/? [4:00:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 23560; scene = ['b04d1d608f54d91a', '9a3449c857ad8d2e', '4d0a07abd5489371', '121cc845c781ea3c', '062fc5a9d29cd651', '01b1548c7d661213', '70cccb9c7d04585e', '3978af43a7ea01e3', 'cdfc0049ab8824ca', '45656906ceb6f2c6', '8dbc54ca1f13e7e6', '6da199c6a71373ac', '52f3bb3cf1f36bf9', '882efbeb56fce689', '2fe3d2aaf6006108', '536b0a79a61e848d']; context = [[37, 93], [19, 74], [30, 84], [6, 49], [5, 47], [7, 59], [42, 86], [62, 105], [143, 188], [104, 149], [2, 45], [13, 69], [38, 82], [11, 50], [116, 170], [93, 156]]; loss = 0.010633 low_pass_filter = 0.300
+Epoch 0: | | 23569/? [4:00:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 23570; scene = ['6bd24285280fac2f', '70622e192e7ee17d', '306bfd98c1979405', 'c0fbb9bf7c8826fa', '56f0d70786d99f4e', '2b607188b335e0ad', '85ee0fc26f209eac', 'b1c69f245fc0e901', '767a02e7d26e071f', '624e38bebc2855b6', '82c4af6d697ddba5', '246a0bdee01d12f1', '5ca47925cdd3c7ce', '963389198f0d43c9', 'd96447ccfd1daf81', '5816deaba41a899d']; context = [[171, 216], [1, 42], [2, 46], [25, 73], [62, 111], [27, 68], [12, 75], [60, 112], [32, 94], [114, 154], [39, 93], [5, 68], [198, 257], [7, 60], [111, 163], [0, 59]]; loss = 0.011002 low_pass_filter = 0.300
+Epoch 0: | | 23579/? [4:00:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 23580; scene = ['193b94e9f655def6', 'edefcb5a942060c9', '41591bd73f51c3c8', '68d9927e6218be67', '201e14c1395bb7e7', 'e5aeb6cc73e1ef60', '6f61d916513afe2c', 'ccd9f68bb34bbff4', '04d184f9c745910a', '191069311543b436', 'dbee8d73e5732008', 'e15e6816a91d8735', '842f5177f9c7fa10', '394d15aa7eded273', 'ad613190a2fe993c', 'b30badb6fa628bcc']; context = [[6, 50], [20, 66], [0, 58], [122, 176], [22, 85], [31, 78], [103, 158], [141, 200], [10, 72], [67, 125], [12, 74], [26, 74], [95, 139], [86, 124], [0, 60], [17, 64]]; loss = 0.008625 low_pass_filter = 0.300
+Epoch 0: | | 23589/? [4:00:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 23590; scene = ['268516a683b177a5', '02f2bced7693a878', '5ac5095c5ba03d10', '811e0e6fc16a4a3a', '09a5339ccc711be4', '14035b2b57b80f80', '8cba0fa4eafa14cb', 'a40cfc3d2bfdfa40', '916fbead6b97efef', '28a2551c138c1f75', 'c2a4f8a0206456ff', 'e98a4440050d3155', '1c19ae7ef94379fa', '808e9fd47a7c37ec', '8b422b535466905f', '6400e0008fe087f5']; context = [[17, 65], [8, 71], [64, 101], [9, 55], [10, 63], [128, 183], [59, 111], [39, 87], [100, 145], [173, 215], [20, 78], [7, 46], [59, 108], [31, 68], [28, 78], [77, 137]]; loss = 0.014941 low_pass_filter = 0.300
+Epoch 0: | | 23599/? [4:00:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 23600; scene = ['fa815bcdb9927d2f', '6512d658e8b42f9a', '3539d531cb61889f', '8898e2a210362ba7', '401a8412c7de98a2', 'c41ec7d3f062292f', '94c1d9744c3d43d8', '1c920b38bd59f0a8', '70716081af03e1f7', '85a1f78298042147', 'b972669c5c766b18', '600b4e7878e4b09a', 'ec349cabb9b47638', '1fcda0030be61dd2', '2883310e27b80dc8', '6dfccb29bd9d71cd']; context = [[7, 70], [59, 109], [18, 61], [24, 79], [2, 62], [14, 59], [23, 76], [19, 84], [4, 61], [73, 123], [23, 70], [51, 91], [19, 83], [18, 77], [45, 95], [73, 117]]; loss = 0.009921 low_pass_filter = 0.300
+Epoch 0: | | 23609/? [4:00:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 23610; scene = ['a1c87988196faa14', 'c107dbf82a3dd945', 'a5024f16e04e4c89', 'b691ac96f3219c11', 'ebdcd30ebe69fd2e', '13e771bcd1f459b0', '13a366c2b05220d3', 'ee457ef6827d4568', '9f3a66dc64d7fdc9', 'f792272e396d1964', 'eb09cd7e9ffbe950', 'c3db550fbcb1f2b1', '2aaf84176521c42f', 'aa97744d1ed6c13b', 'c5202610b421304f', '4ca08ed9abd6d4e8']; context = [[57, 108], [117, 169], [35, 97], [3, 42], [25, 63], [141, 188], [30, 72], [66, 128], [1, 66], [4, 51], [91, 130], [27, 76], [74, 126], [33, 74], [19, 74], [8, 69]]; loss = 0.009450 low_pass_filter = 0.300
+Epoch 0: | | 23619/? [4:00:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 23620; scene = ['fa114cb02b25cf9c', '51906f14ac9f95c4', '83689b78310fab98', '0da66e0b84245e9a', '1b05efe10364c018', 'f0c1455efb8d4272', 'f86cf6a67566bbee', 'b095acdded6e47d1', 'd196dc894157ca53', '7ef98d73d599a144', 'dc52369ae90fed74', '69a46538362147d5', '5d627dc0f8bb0ca1', '9f4c3a8d89ac49c8', '958aebff5c34c3af', '8102b15a3f244713']; context = [[209, 247], [48, 98], [5, 53], [23, 79], [35, 95], [0, 56], [1, 56], [112, 161], [17, 55], [9, 67], [29, 76], [209, 247], [149, 200], [163, 213], [0, 62], [145, 210]]; loss = 0.010728 low_pass_filter = 0.300
+Epoch 0: | | 23629/? [4:01:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 23630; scene = ['a931f15fa6a0b25f', '9637428fa666ef4c', 'd22e085f998aa325', '9bad3ae70b077f2d', '28e8b02f952b3884', '11e04746e3097517', '9173f511f59175a8', '6c8b264c8885d701', 'b5ab121f7a769a24', '72e7a362766453e3', '1f422061ac96b1eb', '92aaddb650594a25', 'ce9ac8857f5efe22', '4da417ceb0d1c7ed', 'ff1a9e62152d18d2', '835256555ef6a5a1']; context = [[75, 139], [56, 111], [149, 204], [26, 77], [77, 117], [3, 40], [20, 71], [9, 69], [5, 42], [7, 63], [39, 77], [32, 79], [4, 59], [0, 37], [64, 109], [72, 127]]; loss = 0.009309 low_pass_filter = 0.300
+Epoch 0: | | 23639/? [4:01:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 23640; scene = ['36353723a7254d0a', '3a38588b6bbef648', '4612b184ef749925', 'a79e3079819474f7', '57ca2bd4051ca168', '153403ea07df9eda', '30f3cc76d343b9d3', '5faaf84b234d10a9', 'b10f1fad87fc039b', 'ea6c5ba4e270d851', '483c778dc80e6552', '8baff2c140c3d6c5', 'af0c2e217035b91b', '2744f37265768ad1', '2abaa60234c26ce6', 'a81f114536c0a042']; context = [[152, 192], [14, 60], [146, 206], [44, 87], [8, 73], [74, 128], [14, 78], [20, 77], [43, 92], [179, 218], [232, 272], [0, 48], [2, 39], [29, 86], [7, 68], [6, 61]]; loss = 0.010238 low_pass_filter = 0.300
+Epoch 0: | | 23649/? [4:01:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 23650; scene = ['bee339cc45bb274a', '4a0cdf7ef67e9987', '590bb98dea23e2d5', '3230ae893262c016', '9baa7e80e0e09d0e', '1896e6de7dc0f4db', '1a53540061b38408', 'c4a2b071fccc524f', '8b513ead658d6753', 'c1071bd28d74ed88', 'd60ef5aa38122e8c', '6b50b3216c960472', '7c106dbf0d98767a', '4375fc375ab1d327', '7ec7f5a09683915e', 'edfa8f13136b2969']; context = [[86, 123], [67, 118], [3, 50], [16, 65], [10, 70], [232, 275], [28, 74], [19, 80], [71, 128], [4, 54], [41, 102], [0, 57], [11, 60], [68, 131], [60, 106], [183, 237]]; loss = 0.011265 low_pass_filter = 0.300
+Epoch 0: | | 23659/? [4:01:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 23660; scene = ['f4c528cf35bc4760', '78632056dc5a1447', '92c3585d178183e7', 'ea429efd4134679f', '19f8aae84d4262bb', '89820bf5286f55ce', '02d8d1b0966beff5', '23a5a10ceb602732', 'dae92de519093758', '18ed00d714916317', '4a94d8357726aa7c', '6495cc99c12835d0', 'aa0340ace90055e5', 'f8ca559f76485ab5', 'e1f9dac8089dda3c', '9309feca5f4aa7d0']; context = [[215, 254], [71, 131], [3, 55], [112, 155], [61, 126], [13, 59], [126, 182], [18, 80], [18, 68], [0, 55], [8, 47], [135, 172], [14, 62], [7, 64], [37, 75], [157, 206]]; loss = 0.010427 low_pass_filter = 0.300
+Epoch 0: | | 23669/? [4:01:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 23670; scene = ['839afafb270fe36c', '42f74d7e8843d492', 'fa49b8a4ce355d53', '9d81ebc13f6a11ca', 'aece6bcce31218a6', '686ad3f8a986c1d1', '53c526ec529330bf', '287551bbd0223d5b', '47978344bbc75de5', 'd17f34407a5b4eae', '26687abb788c08be', 'd5520fef0acc013d', '4d175e1722d51d15', '1e282735e3e48328', 'a60a57a410d249eb', '98c52825e7ffac25']; context = [[27, 75], [1, 59], [4, 69], [17, 81], [0, 38], [36, 75], [17, 56], [25, 65], [2, 54], [6, 44], [40, 90], [60, 102], [36, 96], [41, 87], [22, 72], [2, 50]]; loss = 0.013908 low_pass_filter = 0.300
+Epoch 0: | | 23679/? [4:01:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 23680; scene = ['eca88f83164ab4a3', '40feb7856665d3d5', '430406c1e2815e24', 'b09d1ab83491c9e8', '0b2c6745daa6b386', '611e7445a2567f6c', '184f88882b243fb6', '739668a2e4736e71', '3027e1f17f7891c8', 'a53e86a301e2d2b9', '165b60928edc5d9b', '551c2fa9249383ab', '11ebf927faa75db6', '3b557f99a9d78fe4', 'b0441fae76190daa', 'f302eaad53cfb0b2']; context = [[21, 67], [59, 105], [43, 101], [4, 42], [111, 173], [208, 266], [57, 122], [6, 55], [146, 190], [151, 191], [14, 77], [2, 39], [1, 60], [38, 103], [48, 93], [14, 61]]; loss = 0.009169 low_pass_filter = 0.300
+Epoch 0: | | 23689/? [4:01:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 23690; scene = ['37ff350eba2c5f64', 'cb6f68fd2e9755aa', '6d638e347e889c63', 'c28f10a578096fe7', 'c86ccd2448e8735d', '0476466b02a84b3a', 'bc8d6f045241fec7', 'd705175cee467a2f', '1f2c53501ca20a48', 'ffc4643950346872', '008d5bc870d12c22', '66a09cc7f5e4dbc8', '10810c921b4b3f84', '684090b9114f3aa1', 'cff943ff40169064', 'f0712581f6277ffc']; context = [[20, 72], [18, 70], [90, 143], [26, 71], [61, 115], [67, 129], [194, 246], [73, 135], [60, 104], [71, 111], [103, 156], [29, 84], [18, 69], [27, 79], [28, 68], [9, 61]]; loss = 0.010607 low_pass_filter = 0.300
+Epoch 0: | | 23699/? [4:01:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 23700; scene = ['b927257619ef466b', '18833f51eddb9764', 'd89dccefb162fa07', 'b0df58fdae1ac69a', '15af009b55f7368c', 'ed686303487b34dd', '927c6bc164e80368', '9d2b6e94722db0dd', 'e46b73ef692a68ca', '67e0c57218dd5c1b', '11a27e05ba012c36', '63451a162b7a6589', '3de36eca0531b5e5', 'fd6479900daf0e7e', '009f5248262f70e0', '7776d22b2a8132b6']; context = [[57, 96], [5, 43], [120, 185], [83, 137], [4, 51], [72, 132], [25, 68], [37, 81], [18, 56], [104, 169], [6, 57], [5, 49], [53, 111], [104, 146], [72, 123], [9, 68]]; loss = 0.010453 low_pass_filter = 0.300
+Epoch 0: | | 23709/? [4:01:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 23710; scene = ['f763314077dee3f9', 'dd315dbacb3d14af', 'f8e8aa4850d3463b', '6c767949ba9cd00e', '3fc8774e34beae34', '0be86da2860e67e1', 'e94e5df06dd48826', '6f111fbf5e449478', 'ac8fc8f2ab52719a', '9c61dd28fddc8d7c', '56b96652f474e2af', '0ebaf1f06a17c1c4', 'd0eb1c75d4f4cee6', 'ceebfcfc94921ac1', 'dd2fd9055ee69419', '769f2c32b56cfb49']; context = [[115, 181], [14, 62], [82, 123], [8, 56], [8, 66], [1, 57], [198, 249], [182, 241], [6, 60], [6, 57], [68, 128], [2, 57], [0, 37], [18, 71], [6, 53], [201, 251]]; loss = 0.009922 low_pass_filter = 0.300
+Epoch 0: | | 23719/? [4:01:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 23720; scene = ['0a2779d52af40db3', 'e8f8d92eea003f0d', '434bd83c81eae45d', 'd378904cf46479f2', '5111e9fee46cdb11', 'd6951f00076c15a2', '5799a001baf71ce5', '992925358996d7f5', '676397074933e68a', '208bd0af6bc8937b', '8728264c6018e495', 'af7f5ee416e05f8d', 'b918852a1561726c', '8aa87dbef45279df', '6e62128a879efd48', '935328d1049e18ba']; context = [[93, 149], [2, 44], [19, 63], [17, 61], [62, 124], [107, 162], [10, 59], [18, 56], [106, 156], [34, 82], [74, 118], [0, 37], [38, 77], [9, 57], [41, 86], [28, 75]]; loss = 0.010084 low_pass_filter = 0.300
+Epoch 0: | | 23729/? [4:02:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 23730; scene = ['7bf9850188922e2a', '308d09da548ecf61', '03f7f7496ff5713f', '3c19e57ac3f4ee30', '3bfd6cf9e7f908ad', 'e17c8318e482fd68', 'e61566ae677446b3', 'a59e145c063f1ed7', '060de3e4675e2418', '1c23077bfac5fdfa', '71f772e05b14d6ed', '5355da26f7f618a1', '2be6cccb17d391dd', '765cf0000db9cc0b', 'd98478061d8a24ef', '3ac9999cdd9d2c26']; context = [[25, 62], [18, 56], [12, 65], [2, 65], [57, 96], [0, 50], [40, 89], [112, 168], [16, 68], [21, 65], [145, 184], [93, 148], [6, 66], [46, 107], [19, 67], [2, 40]]; loss = 0.008773 low_pass_filter = 0.300
+Epoch 0: | | 23739/? [4:02:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 23740; scene = ['4a0b4e760a68697a', 'fcdcc21f43af696d', '290a5651c6af5c70', 'a8ab50f4ebaccbb7', 'cd11338af203e348', '57ca8429511977e5', '6574856af56d242c', '035f3f099bf499b4', 'b1c0d6884ffdf290', '0c199c575b699444', 'a5c03b0c5fb7203e', '169f09c33ee35289', '9f718bd70c758cf6', '08037bd2a08cfbcb', 'c6ff95c0d520def6', '17078e61ee975a4c']; context = [[27, 66], [0, 43], [7, 59], [8, 65], [24, 69], [21, 66], [21, 58], [17, 79], [62, 99], [196, 251], [51, 103], [36, 80], [2, 43], [1, 61], [60, 98], [6, 71]]; loss = 0.010065 low_pass_filter = 0.300
+Epoch 0: | | 23749/? [4:02:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 23750; scene = ['444ea4592cbe76e2', '59ec36ffb440b683', 'ec2738b1381a1fa9', '99ad4342945c6cbe', 'd779cbdf0de8617f', '9aef44a2794648ca', '46104808b33c09da', '8a543bf958e48dea', 'cdbb5456c4a6c130', '082df11768924c7e', 'c3a695650753db89', 'ff2bd6b594638b0e', 'a3e389b0c33b31cb', 'afe7352745af8df5', 'afc302429757e7af', '553c15ccd8a7c665']; context = [[5, 47], [83, 141], [193, 254], [137, 196], [3, 44], [150, 204], [0, 42], [202, 245], [43, 90], [32, 79], [45, 91], [28, 91], [13, 78], [0, 57], [139, 181], [10, 53]]; loss = 0.010465 low_pass_filter = 0.300
+Epoch 0: | | 23759/? [4:02:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 23760; scene = ['8bbc276264c2e22e', '72a33dddf16c6f4d', '60f5e5607086c08a', '4845388530a74505', 'b0d028f08185a675', '529e2387fa3fb753', '2a97804c2c08b819', 'ebb7dc16b320e609', '3ea809cbcdb41fa7', '7addead467bf9cde', '0546b901d6b75353', 'f99aafb53f76f519', '8a992755a8cf4051', 'c9fd47052ffbb2e6', '3af749f2153f1107', '40ae6a25353e43f0']; context = [[67, 123], [3, 41], [3, 67], [11, 66], [80, 120], [8, 69], [83, 135], [5, 61], [0, 40], [15, 73], [2, 67], [50, 106], [111, 174], [45, 98], [57, 118], [188, 251]]; loss = 0.011425 low_pass_filter = 0.300
+Epoch 0: | | 23769/? [4:02:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 23770; scene = ['81d9a45e3752415c', '772542fd431e3a6d', '2b92610ff58808bb', 'ef8606ff8897efac', '1a62c49c1a96a7e4', '7b1ac0cfb99be277', '70ab71f97fc208f0', '8c89fdf2c6a13c25', '826259ad3304c0c8', '73b73c8050d2db9a', 'b3a300b233aef618', '09727b443eef18dc', '4af7e21e451c4bd3', '44fa7aa13c6dfd8e', 'b8dbe84d40168153', '1bbde963ed300641']; context = [[95, 160], [19, 72], [7, 56], [15, 70], [2, 45], [4, 70], [39, 101], [1, 45], [71, 115], [105, 160], [5, 53], [132, 172], [38, 94], [81, 123], [41, 84], [5, 69]]; loss = 0.009206 low_pass_filter = 0.300
+Epoch 0: | | 23779/? [4:02:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 23780; scene = ['f4dca39287187d39', '9510c1bbe7d37939', '2046b9ba5c527c28', '8f36773c9aa1a91d', '6ca66a506af6977d', 'a2c3934b695a1514', '30ad1d6e17b4922b', '95944b694ab2fe24', 'e1cdd73fcf663dff', '1f1744b617eb9080', '36752f8fe51ec622', 'c18059287117dc42', 'b06d8179dc790851', '8c1ea3036d433d59', '203db9a6ce37b351', '06966417c542a4f6']; context = [[99, 136], [64, 107], [84, 124], [40, 101], [83, 149], [66, 106], [31, 72], [82, 136], [17, 63], [151, 197], [93, 130], [56, 121], [14, 71], [168, 206], [0, 41], [33, 92]]; loss = 0.010684 low_pass_filter = 0.300
+Epoch 0: | | 23789/? [4:02:37<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 23790; scene = ['28be048b18c389ca', 'd194a6dd4069b4d3', 'db824aff06a55894', '9cf2eea8fcc7d2e5', '3d7b9635ce40110e', 'd6c25b52e39788fd', '8ffce2b1cc62109c', 'a1e59c09aca976c4', '0aa2d2048c581dff', 'ba912e46735db7fa', '8eb7ab71f603c9d4', '583b01780d32f323', '9e1b58ec292d6690', 'ff87c19446c6325e', '177f4c538bca33cb', '87d4cd64fed11f2d']; context = [[24, 75], [16, 54], [5, 69], [14, 58], [46, 104], [63, 102], [111, 166], [1, 63], [214, 274], [115, 178], [72, 133], [0, 37], [3, 67], [40, 77], [8, 72], [11, 56]]; loss = 0.010595 low_pass_filter = 0.300
+Epoch 0: | | 23799/? [4:02:43<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 23800; scene = ['dbc8f6b8f02a5df6', '72e02bab04fb8c64', 'fac84877f62bf4ac', '6d5adb44b0fcc0f5', '35504747966f90b0', '752a9ba05152ec94', '0923f3552ad572f7', '42b6210318e504de', '9a10d4b47d4c3b2a', '38a359f7eaeebdb3', '87b5b7b36ca1c6c8', 'a09912f76919c58d', 'e8e7f9455eb59fad', '65e2be2f97378beb', '996208a794d41f95', '8e178e5791592e45']; context = [[54, 113], [28, 66], [5, 45], [59, 117], [7, 50], [79, 116], [2, 50], [0, 38], [36, 92], [54, 118], [0, 38], [56, 112], [10, 76], [117, 166], [63, 110], [38, 78]]; loss = 0.007895 low_pass_filter = 0.300
+Epoch 0: | | 23809/? [4:02:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 23810; scene = ['b3f1d9e291979d4d', 'cb9560f7008d7314', '9c5add8591f693dd', '59c7874807e993bc', 'e84178ef466d3974', '93fb96bc2d3b8bff', '58f4b2ce84d33565', 'a9b070f212e5f277', 'd2757e2b5edb04c5', 'bbb36359cd553f3a', '6aa927450138c021', '780ad45fced462d7', '0ec197e81b8d0f77', 'be6471058d2d22ab', '620d222665049f34', 'ec30b155fdb742b4']; context = [[15, 60], [19, 77], [60, 116], [223, 278], [47, 95], [0, 43], [162, 212], [76, 139], [17, 71], [12, 53], [62, 107], [37, 78], [39, 86], [2, 60], [2, 47], [98, 150]]; loss = 0.008976 low_pass_filter = 0.300
+Epoch 0: | | 23819/? [4:02:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 23820; scene = ['26b7cc5562e364f1', 'e4832b64e5b73784', '0be9edb1ba9bf557', 'b453004f4b83ddfc', '4ded834533bbead0', '4d72f2752f9a8439', '969c91a2507e2d81', 'f9ee4b8ed48bd9f3', '24add6cb04d4d532', '0d39f26bcf32c8a5', '626634d7c85c3909', '74100e9fd6373f84', 'e36559fcd2232e9a', 'f36581e435eb92a5', '163b00dcf34c2a6e', 'aaeda995507b804d']; context = [[5, 47], [0, 50], [199, 242], [90, 134], [22, 63], [77, 130], [18, 69], [5, 54], [42, 107], [58, 110], [0, 43], [129, 185], [7, 49], [2, 52], [13, 50], [18, 75]]; loss = 0.011044 low_pass_filter = 0.300
+Epoch 0: | | 23829/? [4:03:01<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 23830; scene = ['8e2be4982c66d479', '94be78a8a5500285', '2a866103ec3d8348', '1f0cf1a9439210f9', 'f3b614caf5078792', '9e51170a8e584e09', 'b84872a112abb026', '82fb9650578cf923', 'dc775a94f29436ca', '5f4d0a92e1a41328', '1adbee59b28927b3', '9f991ae87bc0e4b1', '71c8c9e729b12aae', '8bd11e42989f95ab', 'e3257f852e9e49f3', '4abee89a8a0ad4a8']; context = [[188, 254], [41, 82], [0, 40], [9, 55], [7, 65], [61, 101], [2, 43], [21, 60], [15, 61], [22, 84], [59, 118], [13, 76], [9, 72], [66, 117], [66, 132], [9, 47]]; loss = 0.009989 low_pass_filter = 0.300
+Epoch 0: | | 23839/? [4:03:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 23840; scene = ['54f4ae9238e5d273', '84af5a6dc02a4fc5', '159b1908406ca716', '81816f8687df5c68', 'f0e75cde2232224a', '9b417f4a07fa1404', 'd1ebd5d89e694609', '27912a7783acc4c7', '1b92ff53549440e5', '293ae3a90e34ba37', '84775696a780d940', '3c74942b2a1ebb46', 'd63e688b51974eab', '9400cef95716ea17', 'a563a9ac0035602f', '56f96532473be1b0']; context = [[0, 66], [7, 63], [33, 92], [58, 108], [58, 104], [48, 86], [38, 81], [2, 40], [13, 61], [32, 92], [10, 57], [19, 68], [72, 117], [58, 105], [68, 110], [33, 70]]; loss = 0.009297 low_pass_filter = 0.300
+Epoch 0: | | 23849/? [4:03:13<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 23850; scene = ['cdf3b28814b65c1f', '306b847908786dd9', 'df416414f84e7fda', '68c08dd9afc6b2f0', 'c4cbb66b72003fec', '05281fc06f9b485c', '45122de717639111', '6eab0e0fac67fbeb', 'ccbd1158c0818333', 'dc83f0049473cb5c', '11522e4873b5e933', '3d2323b7e2d6c2cc', '8cb3e7d09f0310f7', '3f7a0be32e85cce3', '70e9f9b109005879', 'ec4d1bc7b2cffc2b']; context = [[163, 224], [127, 181], [2, 42], [13, 69], [203, 249], [3, 42], [28, 71], [11, 57], [12, 61], [0, 56], [13, 58], [40, 85], [42, 96], [16, 55], [32, 91], [59, 103]]; loss = 0.009281 low_pass_filter = 0.300
+Epoch 0: | | 23859/? [4:03:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 23860; scene = ['41eee0d73b5ea2be', 'b81d8d1868189a77', 'ab835dbe3d68c7b3', '1f324e80f4d3cae3', '2d26a092f3420ef3', '8517821b7e052349', '649e273139a4154d', '4cf3433161999747', 'de3e555b9b4ad3d8', '927d7dadc0042ba9', '05b75a4253ba2a4d', '55aa00838683a8c7', 'aeec7f8fc81c15bf', 'f30d96407e2302c4', '9160af07eb1e5fc7', '5a39d610506d097c']; context = [[23, 88], [23, 88], [29, 74], [7, 44], [18, 64], [2, 45], [94, 139], [0, 61], [106, 168], [3, 49], [118, 163], [7, 57], [8, 55], [42, 95], [7, 72], [225, 265]]; loss = 0.013407 low_pass_filter = 0.300
+Epoch 0: | | 23869/? [4:03:25<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 23870; scene = ['3233932b0505b21d', 'd26ab9c62be59001', '4739fc5ed7553f10', '3151e48717cc2a77', '45ec2121ecfbcaea', '25606b1d6b79c3a5', '98875eabec2dbd2e', '99ad6a316ad09fcd', '5893ecb5ca418955', '1ad7adae6a042ce1', '6b8bf7759c041d98', 'bfacba0a18500c13', '8b3765816a0cb218', '841c8115deb71c25', '82be68c78bfd5dcf', '96fbaabf762077c5']; context = [[41, 87], [105, 159], [0, 66], [1, 63], [93, 137], [6, 72], [11, 51], [83, 139], [7, 60], [29, 78], [46, 96], [14, 63], [13, 51], [29, 90], [44, 97], [1, 42]]; loss = 0.008683 low_pass_filter = 0.300
+Epoch 0: | | 23879/? [4:03:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 23880; scene = ['350ee2da20bba2be', 'f9b3fd7bc45c853a', 'df8aed95e105f065', '1b4c3cfe64fe6067', '438b09876af8f04e', 'd9314cc976dfa779', 'a9909b47ff5dd70a', 'f59f1231a6194510', 'ef685fbdf3e576a7', '82b22a784b4af245', '9be3165beb073d95', '59f9c9b55158d47d', '399d4c691a973f9c', '2c71433516d2e8dd', '17975ff871886fcc', '6da93982840c7f27']; context = [[18, 67], [62, 116], [123, 170], [32, 97], [14, 60], [79, 132], [8, 54], [20, 80], [20, 65], [55, 111], [54, 97], [25, 81], [38, 83], [30, 71], [40, 83], [176, 216]]; loss = 0.010080 low_pass_filter = 0.300
+Epoch 0: | | 23889/? [4:03:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 23890; scene = ['74ecb6b8bfd55df4', '459ae388f8b6cf56', '54e69836e875f8ac', '0800911f12284372', '5f8c39c5e8834082', '13cefd85b0100975', '05ec6a8aa6630928', 'de137f51846c63b6', '40a45b91d5f5e533', 'e933e39642413c83', 'a122c1228022e3ca', '06445de8291a6bdf', '95ce04afcd02e7b4', 'fca1f74b2536688c', 'a9480ab19f0edc3b', 'f7dee93d8f7d334d']; context = [[81, 119], [147, 212], [150, 187], [5, 68], [0, 40], [82, 139], [140, 200], [1, 51], [22, 59], [23, 63], [64, 127], [24, 66], [9, 60], [54, 109], [0, 48], [47, 110]]; loss = 0.010840 low_pass_filter = 0.300
+Epoch 0: | | 23899/? [4:03:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 23900; scene = ['b77fab4ece94942f', '445634d65b9394fb', '387a1f901c5bab8e', '47586d863c2e4581', 'be1c77697b6f4f11', 'adf613ef8a2abd2c', '8e95236d29403f90', 'c26cbf75018b9deb', '26dd5a371da578b2', '1997a21f798ca9e3', '6959505fc3548caa', '38b363e3d000f037', '01adadff46865ec2', '10c8704bb6745b6e', '714c3dc97fac769a', '97efb1c9d012a89a']; context = [[75, 115], [37, 78], [14, 64], [19, 73], [61, 112], [38, 75], [4, 66], [108, 166], [12, 53], [42, 92], [10, 73], [36, 92], [117, 165], [27, 85], [3, 63], [172, 233]]; loss = 0.010838 low_pass_filter = 0.300
+Epoch 0: | | 23909/? [4:03:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 23910; scene = ['64f07750a0acd912', '2c70a962096d773a', 'fae93ceeaaf99328', 'd92a6ababd47f047', '121e5c07f2b87ec8', 'b090e2aca65c679a', 'b894adf6610ec8a6', '1a50a5e0096742c3', '5fc14076d0059d8a', '36d957c25ce3a65d', 'c1628e1f1e308fb6', '3985b66cc91776eb', '4af1f08d7b5d1523', '837d2467631c6e6a', '6545dab9a4699ef0', '1a402532663d05ad']; context = [[13, 66], [6, 60], [52, 97], [233, 278], [77, 124], [40, 97], [91, 142], [109, 149], [88, 151], [2, 61], [5, 50], [50, 113], [36, 92], [31, 89], [23, 88], [45, 82]]; loss = 0.010544 low_pass_filter = 0.300
+Epoch 0: | | 23919/? [4:03:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 23920; scene = ['e259e333d962215d', '2421a628a0174619', '513d4618c36d0e42', 'c8f4d22cb5653538', '44b69a93870cf884', 'b4a067f6bed5167b', 'd8d873a1acc0d2f5', 'ff37eb9337254992', 'cbeae4190b62a213', '7b06fe1270f6e417', 'ee3e327301f538d8', '8fc141c868e7d6f3', '0505defd59ecbdb2', 'a17833025aa5db5d', 'eeb5c563af1bd027', 'c8c74724bd3e6fd6']; context = [[38, 80], [68, 113], [34, 91], [66, 106], [26, 69], [2, 42], [112, 157], [13, 65], [1, 59], [59, 116], [24, 67], [45, 82], [166, 210], [4, 51], [13, 67], [0, 37]]; loss = 0.010619 low_pass_filter = 0.300
+Epoch 0: | | 23929/? [4:04:02<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 23930; scene = ['58ac0ca6ba85ada9', 'ce019e2e248ec5b3', '1346c01a9e322da2', 'd4f58eddfca6260f', '3c102d1802f820c3', '76467df94b133797', 'bc30fab0317ce551', 'a5b167a51f1d8397', '8acffd95fbf48c10', '5c1ce1faee51a8d9', 'be10e6849ca2240a', '45d1ce034325d8b5', '3b7e2ac007968838', '40d0ba7e188c5151', 'fe6612a4ad77c1a5', '07e89fbf76b33051']; context = [[79, 124], [8, 63], [29, 95], [19, 58], [8, 59], [37, 80], [95, 161], [10, 47], [82, 122], [9, 47], [0, 42], [9, 65], [7, 66], [15, 64], [28, 94], [26, 65]]; loss = 0.008891 low_pass_filter = 0.300
+Epoch 0: | | 23939/? [4:04:08<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 23940; scene = ['c70ec2266ff05de9', '895396d4ceaee46d', '004d2899ce6cfd7e', 'aaf53710fd4ba7fb', '302c98bb282bacf1', '83d97ebbe2e3c69d', '420997bae050f564', '89c836e48cd828c1', '6765cbf77386ace2', '1ab06178863293c3', '78a56baf9c6f433a', '033b631b4a7b6397', '00ad47b927f0c851', '55e0660cad6d7d5c', '7b1854aa0edd0d17', 'de2fae8dc08aade7']; context = [[44, 110], [10, 73], [62, 127], [64, 112], [0, 62], [147, 213], [75, 113], [35, 100], [17, 66], [27, 78], [1, 40], [40, 91], [0, 59], [13, 79], [183, 244], [35, 93]]; loss = 0.009301 low_pass_filter = 0.300
+Epoch 0: | | 23949/? [4:04:14<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 23950; scene = ['db83efb82741525d', '68f70ec2199dd7c5', '85252cd1589d94fb', 'fea20641f75fac55', '42d4b523a2916051', '95582ad20a09f7ee', 'dc5f3f6bf9b5bbf7', '292ed237c4689f0a', '2ab0a57f87b55a7d', '1f6587bd95d4bdae', '01f7b353655b6eeb', '1bf48dbc7214ae64', '383411354fc1073e', '46d97ff2d47bd0b1', 'dd41d5c9bec9d428', '1b640724a4303dba']; context = [[130, 173], [1, 42], [5, 47], [8, 66], [54, 95], [60, 126], [60, 119], [72, 135], [0, 54], [55, 96], [18, 81], [13, 66], [48, 99], [94, 158], [4, 70], [9, 65]]; loss = 0.010459 low_pass_filter = 0.300
+Epoch 0: | | 23959/? [4:04:20<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 23960; scene = ['1091902caff03514', '43e02f5bd7d7fa5c', 'ead46a318c2acc92', 'cd9e17454c9fce39', '388b4a886ab03918', '5fe7c4f4a4702b92', 'cf6c752f6f5f28ac', '78b31552d8e87131', '65facef68848d8f3', '56be35cfccd147b7', '52508a22716c1b14', 'a10ab344d6b19fe7', 'ebe99aa369e9d866', '96685d6fb541e340', '1e0c95d706b4ad26', '39056c1a044a93ec']; context = [[62, 123], [33, 76], [194, 234], [9, 75], [29, 93], [93, 143], [191, 234], [32, 73], [64, 123], [11, 75], [91, 137], [143, 193], [3, 41], [31, 74], [92, 131], [45, 101]]; loss = 0.011308 low_pass_filter = 0.300
+Epoch 0: | | 23969/? [4:04:26<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 23970; scene = ['79c9700db65046b2', '8d287cd90144bd12', '4d037353eceffaff', 'f42f2bd21cb160f1', 'a1bb2d60fddf47d4', '8a82ebaedc2cff44', '3af5cc9297f1a4d4', '41d2fc0bf09f8ad8', '8149c3a980cebc93', 'c39bf602062e4dc2', '97e0b8e8857a9811', 'b626d208b933bef1', '61626373a7464fb8', 'c82230f3fd1f06f0', '88b06933ce7de77f', 'db53ab3a561b778b']; context = [[18, 63], [45, 82], [33, 84], [25, 91], [29, 77], [163, 217], [116, 159], [123, 164], [30, 83], [19, 80], [29, 71], [11, 60], [185, 233], [5, 45], [60, 118], [17, 79]]; loss = 0.012629 low_pass_filter = 0.300
+Epoch 0: | | 23979/? [4:04:32<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 23980; scene = ['70c56631eef0de6e', 'abca120df6b75dbe', '0d8e5289e56244c4', 'bcc00e27ca39c0e0', '2c233ea19f5a5f34', 'fab2da62901db99e', 'c04814a993082566', '94d6c9640b346a2e', '40c9b11b7a6808fd', '4eddff1b7fab511e', 'f713eae29d194d0d', '67049416a81e3457', 'd60dcf55511d8be9', 'a2ca981bcd5a2576', '56e7b45a1a6809b5', '42b07aa8d3701d5c']; context = [[17, 58], [8, 67], [10, 48], [2, 55], [52, 105], [3, 64], [51, 89], [41, 107], [87, 147], [4, 60], [1, 43], [16, 76], [213, 268], [50, 98], [42, 80], [53, 118]]; loss = 0.012551 low_pass_filter = 0.300
+Epoch 0: | | 23989/? [4:04:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 23990; scene = ['16ae5cc96adfad6c', 'd477bc7d47591527', 'b1b495944794f97c', 'cefe35d51bec9a7e', '8d43a7230b10a6de', '6119beda95f11d2f', 'd9046310390dcaf3', 'c35caeecb39384c1', '0a11dd9556fc99b0', '0d4ae3101bbba58d', 'ef4a031cc59eba0c', '1ebafcd97626e04a', 'd9641b3f6ca0b13d', '0f819dc526c6789d', 'd2086a2d8ce2a6fe', '88c708a41a1fb05d']; context = [[11, 64], [2, 48], [102, 146], [44, 91], [8, 69], [28, 72], [1, 38], [69, 113], [16, 70], [12, 67], [175, 217], [65, 116], [2, 46], [3, 44], [13, 67], [41, 80]]; loss = 0.010292 low_pass_filter = 0.300
+Epoch 0: | | 23999/? [4:04:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 24000; scene = ['332db302db18a6b1', 'db97b11381863147', '58fd1e2aa6aa30fb', 'aeba0e80ade27c60', 'dd61e223f3c5ea1c', '0e72cd138b93788d', '9720a52405835b98', '0eedfd3367866a18', '7713ce831ffa7df9', '0ab530d9a633759b', 'c39f1a9a73797efe', '6eaf25e955229c09', '6b0d274033a5e77b', '49bf7713961a7248', 'aa62a6ac70b80789', 'a28f806c4f91b310']; context = [[12, 78], [73, 121], [132, 198], [68, 132], [138, 201], [199, 262], [28, 69], [5, 59], [7, 60], [3, 54], [0, 50], [136, 177], [72, 117], [19, 62], [31, 69], [67, 125]]; loss = 0.013109 low_pass_filter = 0.300
+Epoch 0: | | 24000/? [4:04:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0validation step 24000; scene = ['62b83cb60c353c3c']; context = [[16, 79]]
+Epoch 0: | | 24009/? [4:04:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 24010; scene = ['0ee076a95be50227', '0334f55ea3b2ab1a', 'b1b24b049d5a5da4', '99082829de5c73d6', '8c39c84ddbe910b0', 'a41891d1637dfb7a', 'e003492481dc97fb', 'cf99be734020f5e8', '6117c2b20945c81e', '82e322fd874646b4', '41ec906dc23d8331', 'de4089b39a60c2a4', 'c40aa75b5f7bc9e3', '2d9ea631e6423141', '36feb99313a2de30', 'dbd3d7fbd6bc898c']; context = [[191, 246], [35, 86], [5, 62], [110, 176], [143, 195], [85, 126], [44, 107], [13, 70], [140, 184], [0, 41], [109, 168], [3, 52], [10, 66], [8, 68], [45, 105], [21, 69]]; loss = 0.012274 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 24019/? [4:04:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 24020; scene = ['9086929b365d2a3f', '5b3b21b947b6ac98', 'b18c3a67a54657ef', '81862b995f91b0d7', '34c71b535c38bb77', '13aa603a3003bf77', '1f75e8e099e8c7d2', 'ef5db6b3bdfb233e', '9be32111579c9933', '21fe3a38ab64fce5', 'f5ffca00f6cb3a2d', 'eca27ee3d2248402', 'b4ae1b697a1ac6da', '4cee9bf0a2b1738c', '388e0fc521804f76', 'fd15c58a3f4f0b8a']; context = [[19, 66], [11, 49], [1, 56], [17, 76], [14, 60], [0, 38], [53, 119], [26, 65], [13, 61], [25, 62], [48, 101], [66, 117], [60, 102], [116, 160], [11, 53], [6, 68]]; loss = 0.008982 low_pass_filter = 0.300
+Epoch 0: | | 24029/? [4:05:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 24030; scene = ['cb6a581957b0a925', '5c047522c1e8764a', '86168d9408d50c1d', 'd438e6b186071150', '70b6c45280496e84', 'c75dd6b151fc618c', '39fa6b21b5a2e65e', '0b8049e94cc33a66', 'e970eebc4848850b', 'a7fe1e367a54260c', '94a5f9c34755c629', '33713bd6ed0d6848', 'fd19a3e4b1433dfe', '88c6dd400bd1a841', 'a8964dbe9bd1945e', '47569a0a8b03cf52']; context = [[33, 79], [127, 187], [26, 84], [0, 37], [17, 54], [2, 44], [4, 48], [12, 65], [23, 80], [25, 76], [4, 58], [69, 107], [209, 266], [0, 42], [49, 115], [26, 77]]; loss = 0.012612 low_pass_filter = 0.300
+Epoch 0: | | 24039/? [4:05:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.0train step 24040; scene = ['3173dcf11b45695f', 'e4a14a5915332187', '0622c6096332a69a', '05d2b3e63f804182', '94b6bf83efdd3edd', '39044838f64d337e', 'be030509e218a0b9', 'd2c3b70420c6cfc6', 'db2ecb802aa71a3a', '0b5f0a8b0d0c2956', '01f39d13bb99269a', '2d6e292fc429fda1', 'af19ab9142e2bc9a', '63d40a39f3452fbe', 'f52052af294fdb8d', 'a1492834cf50d376']; context = [[176, 236], [31, 78], [55, 107], [177, 219], [4, 53], [51, 114], [76, 121], [137, 174], [14, 76], [9, 54], [54, 96], [16, 76], [14, 61], [2, 57], [45, 84], [37, 93]]; loss = 0.010945 low_pass_filter = 0.300
+Epoch 0: | | 24049/? [4:05:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 24050; scene = ['e57e823e91ecadc1', 'ff6db2e6978774e3', 'bf80a0c4f9a745ec', '4ff236b2462faf59', '04de8393f28baf2f', '44c693695665aaa2', '9fd3290cb9824a73', 'a4f23e07467a01f6', 'c2289c708c7f0629', 'a9f37c71b1b5020d', '3490d69bb9b94e04', '709e2b69775f5c88', 'a20e94370bdfc580', '7f437dc9fea6612d', 'd782aeed17560ed2', '84b82a9506bd8483']; context = [[2, 63], [7, 60], [18, 78], [1, 65], [44, 106], [63, 100], [4, 50], [124, 164], [0, 56], [17, 58], [45, 99], [30, 82], [0, 37], [113, 162], [1, 46], [86, 130]]; loss = 0.011333 low_pass_filter = 0.300
+Epoch 0: | | 24059/? [4:05:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24060; scene = ['d029278cfa60deff', '031f129ff5a92a4c', '0fdcf15c9429e174', '2f66a0b10f4cfdfd', 'be7a580fe9665300', '0e4c27f2c15deee3', 'c1a1b6cf6c638d5d', '768926bca273960c', 'd261d26a10a93975', 'fcf74e68c2678dda', 'c3bc207f4af7ad46', '6f72032f93d39fef', 'aaff3ba252aa4421', '3bb404adfcc380b0', '03d4ce90615f67c8', '66a04a4a5584e611']; context = [[22, 74], [2, 40], [88, 152], [13, 62], [16, 78], [28, 94], [2, 62], [32, 78], [6, 65], [30, 82], [31, 82], [41, 106], [47, 92], [16, 75], [109, 165], [113, 160]]; loss = 0.015018 low_pass_filter = 0.300
+Epoch 0: | | 24069/? [4:05:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 24070; scene = ['cb72c6bb904fde17', 'a1ff280651bb5e19', '5a94ceba79711c13', 'cf191fc42119779d', 'd824ca7f84872f21', 'c6e4fdb671358913', 'a31787ba3f42448b', 'b7e45d8a8f953221', '9598262787c89df9', '1c545caf1931d773', '070a222242536f42', '6ca4270fc9377c9a', '529d61d09bec94a1', '0586a78aa1664230', 'a7fcd0af8ef3781d', 'c778cdae47e2ff13']; context = [[28, 75], [16, 68], [144, 209], [41, 82], [23, 77], [1, 39], [1, 43], [6, 66], [61, 115], [11, 67], [1, 58], [13, 50], [71, 113], [8, 64], [17, 64], [1, 38]]; loss = 0.009111 low_pass_filter = 0.300
+Epoch 0: | | 24079/? [4:05:33<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 24080; scene = ['6a979d335c1f69e8', '84e4a70283bc8836', '717f2ec498319bd2', '43715c109fe873c0', 'a21fe9049dd4f031', '299dcb99c47bc017', '62de473c850d20da', '3b904c75121b50d6', 'dc8a0bd69271e29d', '1bb32d47bab4d0dc', '0a683a595f574a3e', '7ba0f68640ce9c8e', '412977eaf3f723d3', '1be5aeafa693a55f', '067465f3c21db874', '463e2b4db1450630']; context = [[0, 44], [24, 77], [6, 72], [26, 64], [37, 93], [1, 41], [100, 158], [1, 60], [5, 50], [32, 71], [135, 196], [7, 54], [79, 121], [225, 276], [7, 71], [167, 233]]; loss = 0.010704 low_pass_filter = 0.300
+Epoch 0: | | 24089/? [4:05:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24090; scene = ['acdd744d7e7b4013', 'e90142433a6207a4', '27f37406fe96b739', '04aa3009488aa639', '09b119527170cd6f', '408a7c1b8fd8d5a1', 'd4f271dbd5fa263b', 'c69a920bfc53e58d', '81dd5d4e158301b9', '5c76d38937c600b1', '3678eda4b6306e23', 'f9a728faa63a1d3b', 'f1a2a1855da568fe', 'fd79bc222f3d215f', '38f4d6848424acfc', '2aacf3b31d7ddb30']; context = [[61, 106], [1, 64], [48, 93], [31, 68], [128, 182], [24, 75], [0, 52], [13, 54], [33, 93], [28, 86], [13, 54], [9, 60], [30, 67], [65, 127], [30, 69], [6, 56]]; loss = 0.012907 low_pass_filter = 0.300
+Epoch 0: | | 24099/? [4:05:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24100; scene = ['25d01adc0dba1ce1', '242a6bb6504da60b', '5d69e869219fef05', '571c726d284c5fef', '61e58c0e1e989379', '43f5a800c0b89a68', '9c61e0481dbe1643', '0e2268381b97888e', 'fae84f9901505e34', 'e7db8f8b988dc249', 'e1d4b9c7b39aa748', '6e227c266fdbe6be', 'fc9d80ae4b6f4319', 'f801f07cadabddfb', '60fb060caf4e0c64', '4889794e0a6b1495']; context = [[63, 111], [12, 57], [75, 130], [56, 103], [114, 175], [6, 71], [113, 155], [183, 229], [13, 72], [21, 65], [128, 186], [25, 72], [0, 39], [1, 54], [106, 147], [29, 95]]; loss = 0.007749 low_pass_filter = 0.300
+Epoch 0: | | 24109/? [4:05:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 24110; scene = ['232e85250de4fc24', '304188462e3d3219', 'cee0290238ec48ae', 'dc4ca047ad86ad9b', '7c8d84ba7289a65f', 'b7e386ba9ef4dac3', '45061041e453e182', '4f31d4577d06a270', '05c1700c09437b52', '04db935b17a03775', 'a26b34b70b0aabcf', 'e4284ea25d47d0e6', 'b38df35ba9835cf0', '6adf75bc6d45fed7', '74ff55f4ab8a28ed', 'c58fade4e0d7d3ef']; context = [[32, 74], [23, 64], [5, 42], [125, 181], [33, 99], [95, 138], [89, 137], [6, 62], [59, 107], [5, 62], [62, 105], [102, 147], [35, 79], [85, 143], [7, 67], [54, 112]]; loss = 0.012631 low_pass_filter = 0.300
+Epoch 0: | | 24119/? [4:05:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 24120; scene = ['e7502de958354176', '40006adec86cdcc2', '503c9940f2fbca1e', 'd77406fa7f3b9835', '950df50263df8522', 'bd4700646e17b05f', '29f922dcbbf6e882', '4b94c03307031f70', '603cf62aff2f71c6', '003977c5456b561e', '6e58ea1e0f80b318', 'c75b763b30ccee6c', '4ed1f85c32d21a00', '101d8b04b3837471', '218e5769692aecdf', '76f8be7e88d50aa4']; context = [[37, 86], [112, 155], [36, 86], [5, 43], [201, 254], [51, 112], [64, 127], [2, 49], [1, 39], [35, 98], [173, 238], [18, 58], [58, 113], [14, 59], [120, 184], [135, 200]]; loss = 0.010578 low_pass_filter = 0.300
+Epoch 0: | | 24129/? [4:06:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 24130; scene = ['0e10db62c44b48ba', '964a7d0c80ea431f', '11112d5aeab31689', '4d6a1bf4c39100f7', '4722c8deb063edf6', '0c7d36ad5763c797', 'd49c1d10428b3d70', '5387ea1020469345', '6a40b490a091c77b', '1182d7d1c0cbff1e', '3307278c57b32d21', '3d48789267dda573', '9a3cd88e7992e094', '03aeb7cc51b34332', 'c2b4c2d376a4a2bb', '518b5b152dbe9bed']; context = [[86, 131], [143, 191], [14, 52], [8, 48], [129, 180], [55, 105], [76, 128], [1, 41], [20, 75], [22, 78], [32, 81], [133, 173], [32, 86], [23, 84], [6, 45], [125, 180]]; loss = 0.008573 low_pass_filter = 0.300
+Epoch 0: | | 24139/? [4:06:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 24140; scene = ['a18b5e5cff3d2ed7', '84a677850a497c1b', '2a969cee05781858', 'b6505a16a99fc05d', '146f7025acd4ae32', '763d75d516920a3f', '533d7e15bdc275ad', '0ab2ee95193dca6d', 'dbfa4a019a577df0', '3722e45b5966fc7f', '559d1c71c237ed63', '91d197f925891f41', 'c3914b367617df25', 'c73ba4e9b8857f86', 'f775386efb45738a', '751c329e576944d8']; context = [[59, 121], [15, 70], [174, 240], [62, 110], [143, 187], [7, 50], [0, 66], [18, 58], [24, 85], [72, 121], [23, 85], [9, 64], [8, 58], [163, 227], [23, 75], [36, 78]]; loss = 0.011103 low_pass_filter = 0.300
+Epoch 0: | | 24149/? [4:06:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 24150; scene = ['4994aabf6ecddf13', '3f42e06ced17f8a2', 'ed9d715df2eed57d', '8b980fb43382ce10', '483662df1f507119', '760c626fa583ca58', '4537957ef30176c2', '03fbcd2f324b9946', '1c84e33ec928d7a3', 'd9dce3382830aea6', 'd437beb1a01fabf2', '62ff792e124c30c3', 'a7a79393e5bb8108', '6cee8362ee57a4c7', '7ebd83e1c25311ce', '8fed29af74002491']; context = [[1, 50], [1, 43], [53, 112], [19, 83], [0, 60], [8, 72], [50, 114], [5, 42], [11, 66], [14, 62], [31, 93], [13, 54], [117, 171], [45, 100], [17, 58], [42, 102]]; loss = 0.011772 low_pass_filter = 0.300
+Epoch 0: | | 24159/? [4:06:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24160; scene = ['a32fc3de0b32b930', '0eaec5ae110ae727', 'ee6b9ef2d2ea8772', 'cfa669d1520d3599', '6a3752b1792ce8af', '9b8641a671477a0b', 'f8b1b1dee0f06037', 'e07b8e5f6e9fef91', '992f1f0a1f9a6047', 'db03a39f685c9f43', '3f4ca1ecea630686', 'a5812ef0bb0bc156', '374db1b7332138aa', 'ce72473f822a7431', '1c06424538dd9ee5', '4c3e1a9242e4bb83']; context = [[15, 69], [12, 58], [102, 149], [36, 77], [71, 133], [30, 96], [30, 87], [31, 89], [10, 72], [2, 54], [21, 85], [0, 58], [89, 127], [83, 128], [1, 38], [159, 208]]; loss = 0.011857 low_pass_filter = 0.300
+Epoch 0: | | 24169/? [4:06:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24170; scene = ['4ab2f8367e37a730', '5fc58233c894f917', 'be78b445daa29b6b', '82513f328f3249f6', '8fe5fd9e06ca3c9e', 'bb7fb00560d88234', '004f7056eddd68b8', 'a74f43b16ad90fbf', '72f41340c3506abe', 'c3bafca269ab8b48', 'e8f4103470bffeec', '7f19946005cbe8f0', '253ad0422954892f', '998802a48c76fd37', '6989116a3baf6c4c', 'ccc8fb6694c05156']; context = [[87, 145], [198, 236], [17, 69], [6, 44], [11, 52], [25, 74], [73, 128], [119, 179], [21, 72], [39, 95], [19, 75], [5, 69], [0, 42], [74, 124], [35, 90], [70, 112]]; loss = 0.010736 low_pass_filter = 0.300
+Epoch 0: | | 24179/? [4:06:33<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24180; scene = ['3a5198b65dbb885d', '7312029bb0d183d8', 'ad1ad6648a30592c', '352ea39555d2784c', '7e66af8c0e89ae25', 'e1cafceb24432d44', 'e512c4632c5fd221', '84755f2c302bf61a', '3f89af6eab33d00b', '1de4b62d250a54ff', 'b599da50d37c20a8', 'f427626eef7d023e', '9a023c2ffb17bd15', '67c10f315065cdf1', 'e6d5c31e345f622d', '9105a2228767887b']; context = [[13, 68], [1, 65], [33, 96], [65, 112], [0, 43], [18, 62], [49, 89], [32, 79], [16, 69], [20, 70], [73, 130], [17, 83], [167, 206], [15, 77], [5, 63], [0, 45]]; loss = 0.011611 low_pass_filter = 0.300
+Epoch 0: | | 24189/? [4:06:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 24190; scene = ['ddba8b26d038c9bd', '6c6ece22d9698576', '766a9f7c71d87d44', '5e0539538d66bbc1', 'c663eca13c6fabb1', '8cd39b3cd14c6411', '2fed64c174f5f350', 'bdc2a346d6dbf88e', '899009619dae69df', '59690259eb3ec278', 'cafa46fa5b5d16cf', 'fa207cf6631c52b7', 'f891469660dca930', 'b4e1e88264f8183e', '0851113d43080614', '6a6aa6dcb1f34b33']; context = [[25, 65], [58, 105], [58, 112], [31, 91], [10, 71], [0, 61], [8, 68], [13, 65], [6, 52], [5, 49], [1, 41], [63, 101], [118, 155], [87, 152], [12, 70], [147, 213]]; loss = 0.011983 low_pass_filter = 0.300
+Epoch 0: | | 24199/? [4:06:45<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 24200; scene = ['66c9da321fec37e3', '6211cc59826a08c6', '1235f358f02dac9b', '0421d47aa21b434e', '870061830cde2de8', '2371de80f56e9707', 'bc933b61d3c00879', '49d7417d2f74b2e2', '7af65f2a557b7cfc', '7caf9a683e5004e1', '46fde3a67644e92a', 'a75db3b700245f5a', '91f3903b83e314c9', 'ca842b977ede6e8e', '19d2cf167593bdb1', 'db1fc015ca238790']; context = [[90, 148], [133, 182], [226, 270], [103, 141], [2, 62], [10, 48], [169, 226], [148, 214], [1, 49], [39, 95], [4, 44], [41, 96], [15, 81], [5, 46], [18, 64], [44, 98]]; loss = 0.009896 low_pass_filter = 0.300
+Epoch 0: | | 24209/? [4:06:51<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24210; scene = ['591cd9d079cd7842', '34190d68a1b448c2', '58ae98561b032336', 'fc86266e2fcb72fd', 'f50fd819e21ae7d8', 'd57339d1dfa8156c', '8fe341dcd0880bd5', '27f6d11c24c5ff05', 'bbef35c557166ae6', 'c7620995ebe9c4e6', 'b2e8a9bd957dcd52', '4976860ffb8e6b02', 'a51524fc71a1feb8', 'bc3940f8920de711', 'e83b355a8e28b49f', '45799f873cc35e6f']; context = [[3, 48], [25, 63], [34, 99], [27, 93], [71, 127], [38, 82], [93, 152], [43, 109], [19, 65], [16, 75], [13, 52], [28, 71], [156, 214], [1, 50], [12, 67], [6, 49]]; loss = 0.009785 low_pass_filter = 0.300
+Epoch 0: | | 24219/? [4:06:57<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 24220; scene = ['c6cf5bc481b73149', '80988c00e7f5d21a', 'e1708ac5f3c9a691', '94b4b22fc9ba462f', '640b9d9d37478538', 'ea194ae39cc728a0', '68a7c9ea97d37b45', '59b9ed5329423df9', '9a03f1ebe4d8e11f', '29c107478a356315', '9a1d44db3a25db6e', 'b3263bb9262606c2', 'fbe8be1f434b7471', '86ad7073445c5301', '1147f33298fe1164', '3dbcad1eebd8c8a7']; context = [[46, 105], [94, 137], [31, 72], [46, 94], [6, 62], [1, 43], [63, 112], [27, 71], [48, 86], [55, 115], [57, 120], [74, 117], [13, 56], [19, 66], [106, 163], [42, 89]]; loss = 0.010509 low_pass_filter = 0.300
+Epoch 0: | | 24229/? [4:07:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 24230; scene = ['583731a36ed85338', '8ec25a24042d4061', '2337d2c8ed62f62a', 'd3b11ecdf9a56141', 'a5c4b8df91f1567f', 'df538baac0ae8b3d', '1ab1fedaf04d995e', '04141e7311b5b776', '40d8ab238f652221', '53de9a4e07e66c31', '826bfb24e4dcb24d', 'f5aeb9de1e33fe73', '41bde7bd3b983de7', '63f813f5e1da9722', '37d93c641d86ab49', 'f3133558a4b75863']; context = [[36, 84], [1, 42], [159, 209], [105, 145], [19, 58], [116, 164], [3, 62], [6, 58], [10, 57], [23, 86], [179, 218], [2, 60], [41, 99], [12, 67], [72, 132], [34, 77]]; loss = 0.009608 low_pass_filter = 0.300
+Epoch 0: | | 24239/? [4:07:09<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.90, train/active_min_children_step=4.0train step 24240; scene = ['5467f445ba3f52b7', '33b0c1943b5521bd', 'e77aa644133c2577', '7669e97d364f029a', '4105f8cb0d05cdb7', 'd72511cb9e41d03d', '6e8dae6bdfab4885', 'c6eb58835445b87a', '54190bcf73f4eedf', '5222beadb503d49a', '3b0773ad88f66cb8', '575b15967a383d40', '5df48aeba173d6a3', '299452d01e7e3684', '3ed2bee6a3080b18', '04887b0875f7e718']; context = [[11, 71], [9, 53], [105, 151], [9, 57], [29, 91], [31, 95], [19, 72], [48, 87], [22, 70], [133, 191], [109, 169], [27, 71], [36, 90], [14, 51], [1, 40], [77, 134]]; loss = 0.009336 low_pass_filter = 0.300
+Epoch 0: | | 24249/? [4:07:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24250; scene = ['83dee72aa5e820ce', '249ad28e5fa1245a', '145c5ec5819526af', 'ab52e9612e7a4eab', '3700d0ae62ced4af', 'b8dc72a859facb4b', '8a6f6565aa136bfd', '98765b730c2dec17', 'abe30f78eedbc519', '80c0d9e23ff5c4d0', '564a8cb026ae12e1', '49328b9c29331060', '7813fb5636484cd3', '7ab30ef220195ce1', '9b7a094854896bc8', '28478600e3b81375']; context = [[46, 87], [1, 38], [24, 78], [109, 148], [48, 91], [56, 114], [184, 242], [23, 64], [26, 81], [40, 85], [2, 56], [59, 101], [11, 52], [44, 110], [168, 225], [0, 38]]; loss = 0.010379 low_pass_filter = 0.300
+Epoch 0: | | 24259/? [4:07:22<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 24260; scene = ['7517d3bb59f2a3f9', '55eb4c5f38e2129c', '2f4de674cef4b745', 'e7bfd263ace09454', 'c88338c9d91fa766', '4df26a05670de190', '89d9ee9f99fd55df', '5f33a3cefc16a608', '2d6e5b8046acc8e9', 'ede816a29cb7f0f1', '004a40da569ee807', 'da2b6199a9135d43', 'b020cec718b2a496', '47a8853f48974faf', 'c12b4b8fce580e89', '87fa399fdd73af24']; context = [[77, 131], [36, 97], [13, 50], [80, 132], [71, 136], [9, 57], [207, 259], [12, 57], [80, 143], [205, 244], [21, 78], [126, 170], [1, 65], [24, 65], [101, 154], [6, 47]]; loss = 0.008822 low_pass_filter = 0.300
+Epoch 0: | | 24269/? [4:07:28<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24270; scene = ['2e8d7c7897b54d07', '27e25582bc09a0de', 'b36e08c9639805a6', 'a3c9ffcea941f481', 'c51d0c23240a5ad8', '697e5db37b8f4789', 'c26c2e3257c2d464', '7e976bc0f1d6a254', '51510fbef3b39cc1', '5cc3dfa3b3807082', '9d877d6efc311dd0', 'c12354c83d4cb636', '9ec896ca8523566c', 'a086f1603f3f84fc', '4ad025cbff80faa0', '78ff0866d09b782e']; context = [[146, 186], [49, 86], [32, 91], [100, 153], [177, 215], [116, 157], [180, 226], [20, 70], [0, 41], [7, 70], [4, 52], [1, 57], [19, 78], [46, 96], [145, 205], [91, 139]]; loss = 0.011072 low_pass_filter = 0.300
+Epoch 0: | | 24279/? [4:07:34<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 24280; scene = ['06f89770ac98c0bc', '17207c6d01e581aa', '18c331ce99f35768', 'a1955529ad4d0bfc', 'ea75a24310baa880', 'f5a5531ff428e472', '2ef0d0332158065c', '4f8f147aa57d41b5', '170b4b62ccec39ac', '220cb02a56df8409', 'fefe78a1afa08739', '69c9408ad6a92739', '61b37a9ddf06ebeb', '343f2c2d3fd75fb7', '178f82d5c641b3c0', '70e43f19fe209071']; context = [[6, 73], [1, 59], [31, 90], [14, 57], [6, 54], [7, 64], [209, 274], [20, 61], [55, 96], [23, 86], [51, 88], [78, 126], [18, 81], [138, 193], [31, 79], [23, 70]]; loss = 0.008814 low_pass_filter = 0.300
+Epoch 0: | | 24289/? [4:07:40<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24290; scene = ['ca0d07682836a687', 'edc83e7b7f29783d', 'f2b206d102455492', 'b48a74d5897225b7', '1ef4450999f0e6a8', '55f1013e8571c494', 'f588ea739564c96a', '163b00dcf34c2a6e', 'a0aa55abb59b70e2', 'c8557da11d7874e0', 'aaeda995507b804d', '091fdc7a25e6f6bb', '17d0ebb4232549dd', 'f36581e435eb92a5', '3ec63a7f8feaee08', 'bb95992ebf558470']; context = [[66, 132], [41, 104], [27, 90], [12, 58], [44, 99], [20, 59], [49, 108], [7, 44], [36, 97], [16, 61], [20, 69], [162, 220], [10, 73], [8, 51], [51, 103], [9, 64]]; loss = 0.010435 low_pass_filter = 0.300
+Epoch 0: | | 24299/? [4:07:46<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 24300; scene = ['185dd19a374374ee', 'b4ad9523e2d5d1b6', '98b704ffc9ad975b', 'efe68758a4f58ec2', 'cc0312fce0eb4810', '2ecfe92d63af8e8c', 'c0d7c010544c5256', 'ab9bdef51c74535a', '3c2046c344fb8daa', '85719f352ee0c48f', '409f79107bf87d9a', 'd8fa74c9de7810d9', 'd244e00302839aa1', '523c8d9edc5b09cd', '0b9517e1c9fa61dd', '8b09c84f1ccbb970']; context = [[0, 51], [18, 69], [7, 59], [38, 82], [14, 56], [2, 49], [12, 58], [7, 57], [11, 58], [40, 83], [51, 118], [30, 91], [18, 57], [58, 124], [28, 87], [43, 107]]; loss = 0.012359 low_pass_filter = 0.300
+Epoch 0: | | 24309/? [4:07:52<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 24310; scene = ['bfa9042d0f35d6df', 'ecd91cb5b8acbad9', '37f5c9bd33e92d4d', '30878b54736367da', 'c520e25d5bd303ec', '7ce59b93cd4d98ac', '1e55d866b0335343', '69a31234f2d534f3', '63d30096d9447949', 'afd894a4b5460a20', '21122af05bb14a08', '3eba2babc6d32260', '06d059c778425778', '1ba3ae46eda9f013', 'd82d41749c3d8e11', 'f6dd643a4e792839']; context = [[2, 52], [46, 104], [192, 249], [27, 88], [21, 83], [124, 173], [207, 258], [0, 65], [42, 104], [40, 80], [8, 72], [10, 64], [41, 82], [18, 67], [14, 78], [4, 46]]; loss = 0.013840 low_pass_filter = 0.300
+Epoch 0: | | 24319/? [4:07:58<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 24320; scene = ['66bdca6d2d18a969', 'b3c0809819dde91f', 'd4cac1ead89742e6', 'b07850da36ee6d48', 'a9ffa32973bd4581', '88af5684bdc239d0', 'a690352549316d80', '1f44e8ba6f9ec746', 'bf716d89d4fa9e50', '584493d7bc09ccb4', 'e5f7a6ac3ae2f34d', 'db4b14c9bc399d19', '6564e787f68e8472', 'feac8b784fcd5592', '679057d0e2febf0a', 'aaacce7a4a7c9725']; context = [[108, 171], [15, 78], [28, 71], [0, 56], [76, 119], [73, 132], [26, 75], [57, 104], [8, 47], [215, 268], [6, 61], [2, 59], [87, 131], [2, 65], [8, 48], [105, 152]]; loss = 0.009385 low_pass_filter = 0.300
+Epoch 0: | | 24329/? [4:08:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24330; scene = ['78c5c861417f0d20', '4bdb75340d42d415', '294bfa0dd8a9eada', 'b82e83463bf4475d', '4d347b9ec45c4a8a', '0e72268501544770', '454ec1076e5c68b2', '1c5523bd8867d068', '95387090e0043daf', '55ea566a0298d91f', 'c154a6957de15e6a', 'c77a808062342099', 'd2eaa5c3772c2ba0', 'd39f9e760c65086e', '3fbcf1abe6d59580', 'e242cd9849c42fe7']; context = [[23, 72], [37, 81], [43, 107], [87, 134], [2, 69], [46, 93], [47, 86], [0, 38], [33, 84], [4, 66], [2, 51], [74, 135], [59, 106], [46, 98], [85, 125], [63, 112]]; loss = 0.011594 low_pass_filter = 0.300
+Epoch 0: | | 24339/? [4:08:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24340; scene = ['c2d40b68043e98d5', 'b97b452e2887463e', 'd70de8275a779d95', '3a7dcacc482c931f', 'bed32aee0050abd0', 'ae7c80a778d247b0', 'fa17a491863c5475', '3806cc2e286a8592', '523c819329683e4c', '621342756f23f5f7', 'b3761fc33d30572a', '3fb230c591c1ba92', '0611543dfbc64bc2', 'c78a86f98b10dc29', '43297e0c74c63a14', '8da7e70d5a88d1ef']; context = [[67, 106], [13, 64], [26, 81], [44, 105], [22, 73], [8, 66], [61, 128], [77, 121], [86, 131], [12, 77], [22, 69], [1, 68], [3, 66], [0, 45], [114, 161], [49, 97]]; loss = 0.010207 low_pass_filter = 0.300
+Epoch 0: | | 24349/? [4:08:15<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24350; scene = ['56dc189334276835', '139dd6dc64abdf0d', '581461d8b3991cc8', 'e8128c97ff255dce', '4b1409aed425c619', '0cde2ea2863d331a', '4e22006021f75435', 'f89505d66a282673', 'd58a26d24f2776b2', '9b4b55d49b0d6c6f', '63ec3dfd04ee6970', '1c1838ca17ba6546', 'f3bc1a6ad7acbc5f', '5977ebfe3fb13dc1', 'f52133a15e87c234', 'e3ea7aa03b61d5d9']; context = [[65, 113], [29, 75], [84, 124], [78, 127], [34, 73], [13, 53], [16, 71], [16, 72], [199, 258], [16, 59], [29, 72], [65, 118], [0, 65], [6, 48], [20, 80], [11, 51]]; loss = 0.008656 low_pass_filter = 0.300
+Epoch 0: | | 24359/? [4:08:21<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.80, train/active_min_children_step=4.0train step 24360; scene = ['c4e0fdda08b99d05', 'd4c667d40e23cf54', '2ceb6c5a7b8e7d52', '33ca3e6340fd8250', '9328af3177adc783', '3c6e138710fa52e1', '95eac29b72dbc79a', '0f3f75855f29f30f', 'c1cad7540b667a53', 'e5036ebafb2c7a4f', '6adb937f72020aa9', 'ace3b09a2a2be08b', '0a6608f992d052c9', '1f25aecc650a6852', 'e02bb6e43f5c3de3', '71210766ebea65a0']; context = [[25, 83], [0, 61], [33, 100], [41, 102], [11, 60], [10, 69], [120, 175], [59, 99], [47, 94], [6, 48], [72, 117], [227, 264], [93, 135], [33, 73], [8, 55], [2, 45]]; loss = 0.008646 low_pass_filter = 0.300
+Epoch 0: | | 24369/? [4:08:27<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24370; scene = ['cb2e7c525b2a06bb', '3bca29d56784093e', 'f9195769208f3b78', '5b96b7d7f025099d', 'bfb5ae7e0ff35145', 'e1fd9e5d95847128', '37dd0ba05e0603b7', '8d477bf98d12daf9', 'f8d7a15647c40d7e', '7fd96332695379c4', '1d0b10cbbff05450', '4e8f9334e2eef69a', '65d23bc2670a9541', '1bc88fc26a0693d9', '998b0da0bf77d594', '1e7dd85214355c28']; context = [[15, 62], [99, 141], [206, 270], [9, 72], [72, 118], [28, 94], [110, 167], [106, 148], [17, 57], [40, 85], [203, 249], [43, 96], [12, 69], [9, 50], [0, 61], [2, 44]]; loss = 0.010711 low_pass_filter = 0.300
+Epoch 0: | | 24379/? [4:08:33<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 24380; scene = ['fd2c850e3620104a', '08795007f7dbe014', '32a01427f04b7038', 'd324f36129c89fa7', '7623ff6b4eaf4cbd', '463338d27813b202', 'e8e115464fbe84ca', '742400ae02982a58', '970d8b8f32b657c7', '5b24cc641fd8e56a', '91188f3f75824ae6', '11a27e05ba012c36', 'd89dccefb162fa07', '15af009b55f7368c', 'ed686303487b34dd', 'b927257619ef466b']; context = [[27, 79], [184, 228], [75, 122], [59, 102], [147, 195], [7, 74], [41, 86], [4, 65], [40, 91], [58, 104], [94, 144], [8, 61], [9, 61], [1, 41], [67, 124], [98, 163]]; loss = 0.011296 low_pass_filter = 0.300
+Epoch 0: | | 24389/? [4:08:39<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 24390; scene = ['b65e6eadba27a4d4', '2c484e9510a83538', 'fa4402c07b3c6865', '20475261b8d3418d', 'be6ea47fd801555e', '0b0d341a11dc6871', 'd875f996331712c3', 'a6262cc30cd10451', '11323607c1d04845', '43c939b11c5fed4a', '5055bcc3bc958a3f', '0d094a1d96c9c1e5', 'ffc9f97d4d05e733', '09d8a76ab82bd1c8', '867edbda9bb8ef59', 'bcfff341d1aff83d']; context = [[6, 50], [18, 55], [19, 68], [23, 64], [8, 68], [0, 52], [0, 37], [73, 134], [1, 60], [26, 77], [145, 182], [9, 76], [117, 154], [29, 85], [43, 106], [0, 63]]; loss = 0.009795 low_pass_filter = 0.300
+Epoch 0: | | 24399/? [4:08:46<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 24400; scene = ['93c939536009ef08', 'd499555530abbd75', '65d4260ce295d5bf', '2c18808cab98b68c', 'b188c7df65c1a4b1', '7c939110807b8ab8', '7ae4c64c2170e4b8', '3a9faf85e0d38a31', '0d8fbb7a2a990b2c', '25b85d674899f82c', 'b6ebb6d3f42b4068', 'c0602efb220e03ee', 'fd676b929a21aeb7', '546fc1cd696d81f1', '085f19c63c2fd05b', 'aec1f5de5391a65b']; context = [[156, 197], [176, 215], [24, 90], [82, 126], [61, 112], [211, 266], [42, 83], [5, 54], [22, 76], [36, 81], [62, 122], [21, 78], [50, 110], [5, 66], [15, 72], [191, 239]]; loss = 0.008989 low_pass_filter = 0.300
+Epoch 0: | | 24409/? [4:08:52<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 24410; scene = ['82e02b2137ab99c5', 'b0a7c8eb6675bcad', '242841ee74265123', '4738c57794aa47f8', 'd548d549d85db5e8', '4797e813ea4a5ed2', 'b9b2b65f59998894', 'aa1422feefda8499', 'b77f68b6747f4859', 'd0c0d78936b6e5ce', '06f1f44839e7eea2', 'bdc692b9ee710d58', 'b285bf927275db22', '9f557ea23b237b5d', '0664d28ff022567f', 'dc48fb4d76502068']; context = [[96, 134], [14, 69], [59, 103], [21, 84], [130, 186], [93, 160], [88, 155], [129, 170], [4, 43], [13, 71], [99, 149], [97, 155], [79, 141], [75, 140], [29, 73], [30, 69]]; loss = 0.011236 low_pass_filter = 0.300
+Epoch 0: | | 24419/? [4:08:58<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 24420; scene = ['ba3b89572ec36129', 'b8bdfadb8f643024', '31907a6ebec6ef2e', 'c8e92789f25baec1', '5e8442ca745fd217', '4beafa1c85a14698', '9d682af42dd7d886', '8c2bbeac9417065f', '9012dcef99974756', '2ee23f8203b533b4', '02bb7b7e42bf32cd', '674f584b6f09a890', 'f0fb71e87e8675d2', '4d5b55c12c0028dd', '82173fff18851e0a', 'a1001a4df99e557a']; context = [[14, 67], [5, 56], [137, 183], [174, 238], [27, 68], [7, 55], [10, 60], [2, 60], [6, 61], [146, 196], [19, 77], [22, 76], [10, 65], [20, 64], [51, 105], [2, 57]]; loss = 0.011468 low_pass_filter = 0.300
+Epoch 0: | | 24429/? [4:09:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 24430; scene = ['4bcd7cbb7a1397de', 'c3af30eccbfd3e19', '009ded7e45b6d15f', '5b195bc1030ac237', 'bc658fe0b4f75140', '99577030a38ef264', 'bb3914c6e9a2cca3', '9eeb527fbe6dc6e0', 'b79c18c793f776f3', '09854e27eba8832e', 'f48f5c3ac0286b9e', '6e31b2bf905c639c', '622a80e8c63bea26', '2e36d73dd9237db0', 'e86e6458a4b77118', '37ce47d9ebfb29a9']; context = [[18, 85], [26, 86], [61, 105], [30, 85], [5, 57], [52, 91], [0, 67], [36, 80], [2, 54], [38, 78], [67, 114], [30, 77], [10, 75], [103, 164], [137, 179], [67, 106]]; loss = 0.010161 low_pass_filter = 0.300
+Epoch 0: | | 24439/? [4:09:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24440; scene = ['4b6052c5b5512c05', 'db557bfc1ffee066', 'a4c1fe839c7b6b5f', '3bf7857bb7d748c9', 'b6dc677eb037b7ba', 'f9a30d24e405a37e', 'a687e1016df6494c', 'eaf6edde08f1628b', '0bb7fd06010a6679', 'd669efadc5cc98d6', '7e21932901718a57', 'f0d00e37316b2cca', '7c8ec1f892f1f28f', '7abf846b4cebab8d', 'd82d56dae0f3a41e', '86f7033244bf67af']; context = [[202, 261], [11, 54], [37, 90], [41, 86], [22, 84], [69, 113], [5, 50], [34, 101], [5, 64], [74, 140], [4, 45], [2, 64], [2, 54], [169, 214], [135, 187], [0, 52]]; loss = 0.012577 low_pass_filter = 0.300
+Epoch 0: | | 24449/? [4:09:16<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 24450; scene = ['86713b2ff209a590', '7f6a3a9c5cb0aa56', '503c9940f2fbca1e', '40006adec86cdcc2', 'b4ee79056f9b7011', '950df50263df8522', 'bd4700646e17b05f', '0fe1eb655b38870e', '2e009384920ac153', '29f922dcbbf6e882', 'd77406fa7f3b9835', 'e7502de958354176', 'a484d8e3b6b3b458', 'd8977adc58cb42ab', '06ee53fc9282ed3d', 'faf7fd76a271d419']; context = [[5, 55], [18, 71], [27, 72], [121, 172], [1, 49], [141, 185], [110, 155], [74, 123], [77, 115], [90, 131], [2, 44], [19, 73], [17, 76], [84, 128], [36, 95], [55, 111]]; loss = 0.011136 low_pass_filter = 0.300
+Epoch 0: | | 24459/? [4:09:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24460; scene = ['4364c3b9403ffd96', '0476107845eb67e9', '07ad3c9e67f8bf95', 'c49afcdb61153e2a', 'a97842b559fa0582', '04ce6d1f0f049069', 'd92ac4b209fa63a7', '801df40f6493d352', '438c7699dda81671', '27d7650462d5f41e', '8df3badfb21130d2', 'a2f4df0f4041193e', '5070ea042c65de0d', '4bef3ad018822489', '208b5060a974d802', 'b072d5e75e95e9cd']; context = [[12, 51], [88, 133], [33, 78], [64, 107], [12, 65], [41, 84], [8, 48], [59, 126], [12, 66], [111, 152], [39, 87], [151, 217], [14, 79], [10, 60], [1, 54], [10, 56]]; loss = 0.014362 low_pass_filter = 0.300
+Epoch 0: | | 24469/? [4:09:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 24470; scene = ['7776d22b2a8132b6', '369ef2ae4cb58ae5', '6972d0b239803088', 'a45f1ef7f8a26bc9', '3de36eca0531b5e5', '08362ea89cc94616', '37934ab378545cbd', '009f5248262f70e0', 'e71dfa0818466743', '92a71ca61a77d2d6', '6e371f54140af211', '9b31c4820fa50473', '27d2477442b9d199', '7c317155a37b32b1', '4317f2b8b541e154', '7cf0b2b224cdffc9']; context = [[62, 114], [46, 100], [101, 147], [15, 70], [61, 99], [137, 178], [36, 90], [8, 58], [17, 74], [15, 80], [10, 70], [4, 46], [38, 91], [22, 80], [9, 52], [35, 86]]; loss = 0.010570 low_pass_filter = 0.300
+Epoch 0: | | 24479/? [4:09:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24480; scene = ['1d8f8faa8a7ec751', '600f168a8eabe775', '9c68a8a0af17b921', 'dba0052f9fa2b5ff', '195abcbfc1760043', '673c9f1a868c7d0b', '6fd38f4a383eb920', 'e910ae6aa6f7ff6f', '6a3cee5a0ca00425', 'b91749559c4f1404', 'bf59bf109ae484d9', '5df6b46fb9668298', 'bcd6a8f9e95c390d', 'fa2cba4c57934de0', 'a463d86f7351eb8a', '4e2ed8b2b55d9631']; context = [[0, 51], [17, 56], [27, 91], [7, 45], [142, 198], [7, 49], [102, 167], [51, 108], [85, 135], [2, 42], [1, 61], [2, 56], [67, 128], [4, 67], [10, 71], [4, 42]]; loss = 0.009507 low_pass_filter = 0.300
+Epoch 0: | | 24489/? [4:09:53<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24490; scene = ['a56410296c4762f7', '9e3c241e9f50165d', 'd353f6546d670569', '5d5ed476cfeed088', 'cffe7db0efc86b6a', '832038b00ae58f1c', '7f84033b9d1f6a5d', '024713d50b2ab06b', '02d4d0c729448c3b', '592f02d9a81deedc', 'e9d11d18a0abff33', '063dc505e73135af', '92362c407ae31300', '9837661a38ea63e5', '23132b7df2da8457', 'f6ec5537c276e88d']; context = [[10, 63], [24, 78], [10, 63], [25, 88], [9, 48], [21, 73], [3, 55], [19, 79], [45, 94], [14, 74], [69, 114], [173, 213], [15, 64], [10, 68], [46, 107], [9, 49]]; loss = 0.009230 low_pass_filter = 0.300
+Epoch 0: | | 24499/? [4:10:06<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 24500; scene = ['84556fd53fab52bd', '62be828d9ba51471', 'ba2a2ce5a110fb53', 'fe3356c41851577a', 'e78f201e5bfc0742', 'a6b381f7e736bb58', '10f1c7cda244255d', '1e51a9a349931860', 'e2ca642f83d36d8c', '2035595ebba23bac', '96e0dd87c09dd1a8', '52b0ce9efb240e7f', '16be374e6f6d5d3d', '1c6c2f0ea25ac8aa', '1d8a2a494d7ae9e5', '1c7e0d9da743e0ff']; context = [[39, 103], [82, 122], [43, 88], [24, 89], [0, 46], [1, 42], [28, 70], [0, 51], [0, 55], [48, 110], [7, 53], [124, 166], [13, 57], [223, 269], [0, 38], [32, 76]]; loss = 0.012475 low_pass_filter = 0.300
+Epoch 0: | | 24509/? [4:10:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 24510; scene = ['41792d33faff0078', '61d1afca444f54d0', '9cb162f4d5462a69', '2842753b23031595', 'b09d1ab83491c9e8', '611e7445a2567f6c', '184f88882b243fb6', '430406c1e2815e24', '739668a2e4736e71', '3027e1f17f7891c8', '0b2c6745daa6b386', 'a53e86a301e2d2b9', '01cbdc2687833ad4', '770a3d6cc6eb482b', 'dacf32005e7ff429', 'b54e9392ea54baf1']; context = [[12, 53], [41, 104], [187, 240], [34, 77], [0, 41], [182, 231], [140, 204], [139, 180], [57, 123], [105, 154], [72, 134], [79, 127], [76, 137], [27, 65], [16, 70], [10, 70]]; loss = 0.008878 low_pass_filter = 0.300
+Epoch 0: | | 24519/? [4:10:18<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 24520; scene = ['711eaae87d76ac0e', 'a526a271a561bc23', 'a57c3d7a98497d6d', '95da46cc74bd865f', '0a3c48bdaf8771da', '96e650d88643f131', '7f332d591ca1980e', '21b43052b04845cb', 'c7af45d1166fe6cb', 'b24a35dc8884076b', '73b27f4f150327af', '5223b08ead451ba3', '57a51e1d7e1b80fe', '7bdeaa5ddcb319c8', '932af4bdfcb8093b', '6e1a2b5a4f427345']; context = [[14, 72], [18, 74], [3, 41], [9, 65], [41, 92], [17, 61], [4, 70], [6, 46], [41, 88], [37, 78], [29, 71], [131, 179], [0, 43], [18, 73], [162, 206], [11, 61]]; loss = 0.010427 low_pass_filter = 0.300
+Epoch 0: | | 24529/? [4:10:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24530; scene = ['1d617d88d775e289', '0f7660ecfb5d694d', '76f7fdfccb16a0a6', '23d3cb34a508be1d', 'eabc0fbae64a3713', 'c029c78ef50cf73b', '560cd587d67521e0', 'c8655db71062b8e9', '0fc7eabb78854784', 'c4ad60212b208842', '00454b8bf9209de8', 'f43a67d03e2d1906', 'ab3e76a1cff1fde8', '46a01082844ae5ec', '469c7372835b7450', 'b729998f5b2508dd']; context = [[55, 112], [151, 212], [0, 52], [97, 154], [0, 50], [59, 122], [6, 73], [97, 147], [35, 82], [0, 48], [64, 120], [67, 130], [51, 93], [4, 61], [39, 93], [48, 112]]; loss = 0.008869 low_pass_filter = 0.300
+Epoch 0: | | 24539/? [4:10:31<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24540; scene = ['57bd46c077290a52', 'cfe5980858473caa', '90eb0b4f9eaca4b4', 'f393eb028298b9e0', '6138a5a6ce20fc7c', '0150a2343dbfb3ba', '76f0af17017975ef', '453c9df8e4a96816', '86d35668ab8b30b4', '5a0df8c07e9a9fe9', '2eb5e99df3004bfd', '0d6e53a797be79b2', 'af4058a9e533f84f', 'ce120eeb3b3b4e73', 'a9c47c6038013d7c', '3cffbbab0d4fd5f2']; context = [[145, 197], [98, 141], [19, 80], [2, 57], [4, 63], [76, 131], [3, 69], [72, 132], [88, 136], [121, 182], [34, 83], [32, 77], [23, 73], [99, 154], [64, 118], [27, 80]]; loss = 0.010615 low_pass_filter = 0.300
+Epoch 0: | | 24549/? [4:10:38<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 24550; scene = ['fedac3f5aef8fd81', '9024684dd45d925a', '541ae18b8f936d11', 'e89204339a7669ef', '4bdef6c0c3e06ae5', 'a017b0cb12cc18ab', 'b75d90c65923526c', '3148978637e8f426', 'd5384f379810516c', '0d93e2b216166389', '0ce5edcc350904a8', 'b194d521d939fe38', '1881e13a88e87fc2', '1dab88f5a54ee41a', 'ec44c38dfa1244f4', 'cfc65d74b27399f6']; context = [[39, 77], [1, 67], [43, 81], [21, 71], [29, 91], [3, 58], [19, 84], [67, 123], [29, 78], [18, 84], [1, 40], [10, 73], [102, 160], [34, 96], [205, 271], [110, 161]]; loss = 0.011174 low_pass_filter = 0.300
+Epoch 0: | | 24559/? [4:10:44<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 24560; scene = ['09c7171529d82a2a', 'e41dad3f906ed87b', '2abadda3f12274a2', '2b08d88dc7851fcd', 'd44eb5d03836bfa8', 'dcf621e6a39c58b0', '1545821f510802e7', '1dd9a0ed267383c0', '81ee97f3eb44b898', '8604fb955c771d23', '254bab680a316f9b', '6726f4b1be3b02e0', '3e35d64c3de4d110', 'd850754e786fd50a', 'c13693eff6eb0796', '21441ce339017578']; context = [[4, 50], [71, 125], [7, 68], [86, 130], [0, 45], [46, 104], [16, 54], [4, 48], [21, 72], [65, 113], [20, 74], [1, 43], [103, 169], [38, 81], [31, 90], [134, 182]]; loss = 0.009084 low_pass_filter = 0.300
+Epoch 0: | | 24569/? [4:10:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 24570; scene = ['aa1de687b9ca8b3a', '5195d6199756de8b', 'abe6335b937ba7c6', '88dcb5cdf83eef5c', 'bf0c5cb654dd1e0b', '452bec637695fb61', '969e0fb4ea498d2a', 'a56927ac0e84b487', '43133ee21899e29b', '91a5dc05e579c726', '700ac3a4e337c355', '9e4bbe87809330fc', '44cb993e19c042ab', '01a8f17430811e07', '041e80ca1179ed69', '744157d1a5f49792']; context = [[10, 59], [60, 116], [131, 176], [6, 65], [54, 117], [5, 44], [3, 44], [16, 55], [52, 98], [10, 58], [1, 39], [16, 63], [31, 87], [11, 52], [2, 66], [0, 50]]; loss = 0.009097 low_pass_filter = 0.300
+Epoch 0: | | 24579/? [4:10:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24580; scene = ['894989e32e698e7d', 'd75a2d501d06abb2', '477f44d4c838a6eb', 'da3a6901f12a6e59', 'cafb7b387787db6b', '4c768903212b223d', '0f2c72ccf47c2cca', '43c9cb3a1f008f2b', '0be127358da454de', 'ab1d835889d2fabe', '6ce00eee57d60700', '3eae572207e849fe', 'f6059815a2a1e912', '1a208617ed6c2348', '11dbf87883d315f7', '94034faf0ea1937a']; context = [[145, 204], [61, 109], [7, 49], [138, 205], [145, 203], [113, 160], [46, 91], [45, 84], [9, 53], [18, 60], [44, 110], [77, 144], [14, 74], [24, 76], [21, 80], [74, 133]]; loss = 0.009972 low_pass_filter = 0.300
+Epoch 0: | | 24589/? [4:11:03<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24590; scene = ['4dd2b3260d42e33d', 'bc31a831c7da94f6', '3b43e20efed5bd43', 'c97f7afd65090c33', '3953113473b362c9', '500c43d0f0558034', '8bd1355a3c06d06e', '5506f368be3afbdf', 'c9f0b268b1aa5e1a', 'a34af0c26cb1ee8c', 'd5e6d754c9163772', 'f158f2d611e892c2', '9ad8c7f6b7e9e5e6', 'dcd25be274f2d684', '1b6a7841c9586b0e', 'e97f1d7c3cabe2d9']; context = [[3, 51], [12, 75], [105, 160], [46, 85], [76, 115], [200, 248], [12, 59], [39, 91], [2, 43], [161, 218], [107, 166], [224, 271], [6, 45], [18, 84], [40, 102], [0, 62]]; loss = 0.010992 low_pass_filter = 0.300
+Epoch 0: | | 24599/? [4:11:10<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 24600; scene = ['20672f0690611fe9', 'd73dae9e6ffe86dc', '43d0c1d214b20024', 'ec9405fe08e66141', '6dd73ce2d44e63de', '0e613a7c35450462', 'c9ae23235b5e966c', 'a8ecdf04c7651cf4', 'd21e4b33834b837e', 'df4320d8eb103685', '7ad2d82f17a2ce15', 'c3af86032dda0736', 'b3159a384b90871e', '8a3e27e005fffbab', 'e028291f59ca1af6', '63686d76e16857b7']; context = [[4, 62], [36, 75], [83, 147], [149, 214], [93, 139], [34, 88], [47, 114], [9, 70], [49, 90], [11, 66], [11, 75], [2, 66], [4, 65], [31, 97], [17, 58], [0, 57]]; loss = 0.012198 low_pass_filter = 0.300
+Epoch 0: | | 24609/? [4:11:16<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24610; scene = ['ce889e4a64d027c9', '07c6818a3a353dd8', '8a18a357d2f58181', '05caea054b89afc9', 'bc3e84661532f610', '76e3767736ea1fcb', 'dfce5eefef18f037', '6903e917c5bf1c37', '0a8e2e73b0a0ddeb', '44020f34ef2803bf', '893631aa1120f800', 'dc39348fdad696f3', '7a3c692a84dcff3b', '9508bbadb133599f', '7a91beed3bf01666', 'cec1e3207cec9019']; context = [[0, 38], [208, 267], [199, 255], [40, 105], [38, 78], [17, 71], [36, 102], [22, 75], [155, 193], [9, 50], [10, 58], [30, 79], [76, 119], [34, 99], [0, 58], [33, 88]]; loss = 0.009159 low_pass_filter = 0.300
+Epoch 0: | | 24619/? [4:11:22<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24620; scene = ['30e603963529873b', '2a8ad97be538b3e6', 'b40e61afa21e81e0', '6be0a940423eafdf', '742797055a67c950', 'd14984609a8f3625', '20467fe97121072c', 'fa6335a92d7faa48', 'aeb17dab82aa05ac', '251366dc002bf6c3', '1162abd36a71567b', '955559418313af15', '4dfd54f3098821dd', '8affa132fa270700', '651dd13b1dab9b01', '821c671b230a1ed7']; context = [[22, 61], [119, 176], [17, 80], [2, 49], [0, 38], [13, 68], [25, 63], [34, 98], [26, 67], [15, 71], [43, 109], [78, 137], [3, 50], [7, 61], [39, 89], [56, 116]]; loss = 0.009220 low_pass_filter = 0.300
+Epoch 0: | | 24629/? [4:11:28<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 24630; scene = ['6551944a93afc0d0', '73d493ff94578c55', '2b0182cffdc9433b', '3dc0b3372b2e13dd', '1c87d4883f49da92', '91bab928c4639b09', '8d75d6f051b8f52e', '2a2e3da0444d2ecd', 'c6fa4e41f75c901c', '315fc3ba97edb0da', '6c3f490ba179a038', 'f1021f385c05e35e', '2f6c751ae35cf1de', '2a9a0d7936c79eac', '83ed9d8ed9845e71', '48a3ce4bd42f000d']; context = [[6, 47], [17, 59], [10, 55], [24, 85], [134, 176], [46, 113], [12, 71], [15, 54], [52, 99], [11, 66], [71, 132], [36, 103], [37, 99], [76, 143], [31, 87], [9, 65]]; loss = 0.009701 low_pass_filter = 0.300
+Epoch 0: | | 24639/? [4:11:34<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 24640; scene = ['55c41fd92228939b', 'fec87b0585b93bda', '75bb1b9c01a50796', 'a9ccf989917513be', '06ea674963ad018e', '873e47aefa88e8cc', '3bcd60aa10534c91', '5b6d2302ce6b01fe', '165bd1ee2bde617c', '0635a3619c622723', '65c0a05d71fc4a45', 'e1b54662af9ed7a8', 'ed53bf7b8e6dc9d1', '1eb802d8fe855ed6', 'c2083e2d07063bdc', '34524c4a56295200']; context = [[7, 58], [11, 68], [27, 65], [9, 67], [17, 72], [19, 66], [35, 97], [1, 50], [58, 101], [7, 68], [32, 94], [73, 138], [103, 152], [68, 127], [4, 42], [11, 49]]; loss = 0.011779 low_pass_filter = 0.300
+Epoch 0: | | 24649/? [4:11:41<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 24650; scene = ['66c9632b703b75c5', '5597f674a468558e', 'd67b3a053d3a3f00', '60e831b626358b45', '3661f99bb52c6d13', 'f0a377d6e921025c', 'e749487d50aae270', '31d20f7587a2904c', 'ee4964a47af10585', 'cb7b53a4b05f6aba', '4184a1246de779e5', '42a9b6d389454481', 'cd4599abebf9d60d', '89ad475d12af1821', '4fcfd03c65294627', 'b3f292e781b77315']; context = [[161, 218], [199, 256], [0, 43], [30, 79], [51, 108], [6, 53], [62, 128], [220, 263], [52, 103], [50, 111], [19, 80], [21, 83], [13, 73], [19, 83], [52, 110], [70, 114]]; loss = 0.009851 low_pass_filter = 0.300
+Epoch 0: | | 24659/? [4:11:49<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=28.20, train/active_min_children_step=4.0train step 24660; scene = ['f1003c330038505a', '05811acb5942dc8a', '3b9e4746198f5f87', '4d220c5bb499f859', 'b0bcc4d7851c2772', 'ea9d27d15fb314d2', '674e6a33e09edcf3', '7f97fbd2a01c6820', '856bb1da2f10d78c', '00f0397d5f6a855e', '2ae25c1ef4ee35e7', '22883477ff44a8d8', 'ecc8438134a2638d', '39affc04f4fec373', '2c69823bf64bcfa1', '3f99cb9bcafde8fe']; context = [[39, 105], [39, 85], [0, 52], [115, 159], [108, 171], [4, 65], [172, 228], [7, 47], [12, 53], [90, 146], [34, 95], [10, 69], [4, 67], [2, 55], [46, 107], [143, 208]]; loss = 0.011299 low_pass_filter = 0.300
+Epoch 0: | | 24669/? [4:11:56<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 24670; scene = ['7290906ef512f678', '427e287379108891', '199efe0aa9f2980c', 'e707d9b275957bae', '4bcba502acc243f0', '7ddc7cab16aeca59', 'e5dac527233af340', 'e3fc0b8b215383cc', 'dfdd7ffe0296ce04', 'b73c5e0a08d76ce7', 'a97c604082cdee65', 'a1f6362dc4656707', '3c5277bcd9e4ae27', 'd1dfd1bdfbeccdbb', '070b23aeeaf1abd9', '3ff1284c0953670b']; context = [[52, 97], [26, 69], [6, 44], [84, 124], [19, 85], [3, 48], [12, 60], [56, 116], [11, 75], [93, 153], [53, 115], [12, 74], [155, 207], [27, 68], [75, 122], [22, 71]]; loss = 0.010016 low_pass_filter = 0.300
+Epoch 0: | | 24679/? [4:12:04<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24680; scene = ['0eea77c7a7ea776b', '1ff6a0130c1bdbc9', 'ff1dca7b309e73cf', '63e436b601897a18', 'f7b4d47fa023d83c', '44b54a674418eae1', '76d53cf41f53eb37', 'a8708276de880b2c', '59290e5eafe2dacc', '2876ff2b0e9b35c8', 'c1c51fb2e8fa3f3d', 'e24c92984ba44023', 'bb5821113e1e7c98', '9c128aa40c275f9d', '748258417c8a8efe', '8593a4c8982e1d21']; context = [[44, 104], [32, 99], [4, 56], [110, 163], [15, 63], [1, 60], [1, 52], [0, 48], [59, 115], [0, 45], [115, 158], [33, 71], [59, 112], [166, 226], [61, 100], [1, 48]]; loss = 0.010262 low_pass_filter = 0.300
+Epoch 0: | | 24689/? [4:12:12<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 24690; scene = ['66c583ba78db2686', 'b48dc4df6fb02f4b', 'cc1a4a14236ea89a', 'a75d63654365b43c', '8b892aa99ab635fa', 'cc4d298f4c09ac47', '14b72a12818f15cb', '392eab2c84c17409', 'd6ac297a4d15b7b0', '1a3774eec69dbf4c', 'afd1f0b4fba0c645', 'ebefa67b99601839', '5118b43a3f332d06', 'a35fcfd5ca571296', 'e2b10586530728fd', 'c50585b25ebfe2ba']; context = [[7, 65], [2, 65], [26, 91], [145, 193], [97, 156], [0, 67], [1, 65], [49, 88], [40, 82], [23, 72], [68, 134], [55, 122], [18, 60], [24, 67], [53, 106], [50, 98]]; loss = 0.012261 low_pass_filter = 0.300
+Epoch 0: | | 24699/? [4:12:19<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24700; scene = ['8efec6de00a7d511', '7fbc6cf6fe65b7ff', '11d1dd8049ca694b', '06fccc7d660b7c54', 'caf78660bbc1dbf2', '2244f7dd2c91da2c', 'ca543cd72517425f', 'd9afbf73118bb8a1', '8272b1253d3ef5bc', '9777aa81d5ddf05d', '7c4d7ed47ae232ed', '6aa2acda128083e0', '961a5b7bfe5ef431', 'b4802203e4196f7c', 'cf7393cafef6d8fd', '714ecafb5f39913b']; context = [[0, 58], [142, 199], [77, 120], [3, 57], [2, 41], [83, 136], [3, 41], [31, 85], [30, 87], [19, 74], [23, 81], [17, 55], [15, 76], [97, 140], [13, 53], [44, 104]]; loss = 0.010895 low_pass_filter = 0.300
+Epoch 0: | | 24709/? [4:12:34<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24710; scene = ['de2ace7196f6d140', 'e38105742c98d888', '0ff362ad28ba21d6', 'd697cfcbfa727a4f', 'ff788909dd15fffc', 'dac88abfc46437c8', 'ff8f49bdb17e5050', '616d045c5963ecb2', '556c98e247270631', '543b9b3f8be1f1d1', 'd267797bd8ac3330', '9ce909d08d97390a', 'cc966a9b2af2232f', '8181f645b467863e', '97d12f6d996bf73c', 'ea560425df1b8298']; context = [[8, 54], [206, 272], [17, 77], [46, 105], [68, 131], [128, 178], [10, 66], [22, 89], [72, 110], [117, 162], [14, 53], [26, 65], [92, 153], [31, 85], [147, 208], [10, 67]]; loss = 0.011465 low_pass_filter = 0.300
+Epoch 0: | | 24719/? [4:12:55<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 24720; scene = ['e5537547dd598187', 'c0e387d3a6285a32', 'dad145ce35ad0e54', 'cb9ae86a49f95f34', 'a5175255a7a24781', 'a328bb24ae1259b7', '9e739ec1a8c7aece', '937835bf008447ae', 'fbcfae0d07f3840d', 'ffb0ecd62200e136', '48f502df70db50e1', 'e7129afa3f20fb38', '6f349cede66a597e', '21268abbbc575fc9', 'fd92fb298b944a09', '7e1f1f018b3493cf']; context = [[3, 61], [106, 146], [36, 74], [71, 118], [12, 58], [1, 59], [6, 73], [14, 64], [118, 185], [40, 86], [112, 165], [126, 188], [2, 52], [1, 46], [11, 75], [2, 44]]; loss = 0.011201 low_pass_filter = 0.300
+Epoch 0: | | 24729/? [4:13:16<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 24730; scene = ['1a476a75bd073c80', '56ba21867ca58ed3', '3aa1b31b218bbda3', '52e55a9250f55a45', '91fb76c74c6fe7d9', 'ba8af60a9d4bbeea', 'fe3eb89cdb313955', '4fff9fbe73952018', 'b4a621ff4fc39bb6', '1c3284259050a0a9', '6fb580ad7ea0e94d', '369fdb50d48334e8', '9467cca40f3ac088', '61c3762e0090d702', '53fe8fcecf2767a3', '852820a2465b9c4e']; context = [[148, 209], [121, 185], [24, 63], [109, 147], [0, 40], [12, 64], [12, 64], [36, 75], [17, 58], [149, 201], [21, 77], [3, 47], [184, 228], [14, 55], [32, 85], [3, 63]]; loss = 0.008567 low_pass_filter = 0.300
+Epoch 0: | | 24739/? [4:13:24<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 24740; scene = ['26bbe9550ed68e33', '4f626955e18d7e9c', '3914c72798afbf55', '39357cec4dfde0c4', '8ae07a41da8a7327', '9228d5f56cc394bb', 'fe9c9efa162243af', '517e1bd673ffe78f', '9695907dbf989efe', 'fa4ed1deda5e2f36', '1030575ce50471e5', '2d9c1a7e8547c7f3', '3333768ade9bae8f', '8b6fc7cfa0e1de13', '2c2893932017a26b', 'de0b5f163df22bac']; context = [[5, 47], [45, 96], [67, 118], [11, 70], [9, 47], [37, 84], [146, 191], [46, 110], [99, 155], [31, 78], [23, 88], [66, 118], [0, 59], [149, 189], [75, 119], [2, 69]]; loss = 0.009298 low_pass_filter = 0.300
+Epoch 0: | | 24749/? [4:13:30<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 24750; scene = ['891771b6d13a027a', '45575e929ef4bf66', '6e4c43cb7109a228', '225f6975684ceb35', '7fe52fb374fc6aca', '81eeb2cbf825a1c1', '0fdf9e6982817f7a', '50e663034e6e387a', '11e8a47afc86d430', '7fc375752c2540e3', '524aaf3b874aae61', 'a0883fd11d656ac5', '072eca78621634b1', '2df83aef6a375147', '9fde98805690a4e5', 'a94e03cd69b319e7']; context = [[46, 100], [28, 71], [4, 68], [26, 79], [0, 66], [49, 102], [3, 67], [7, 70], [52, 105], [22, 66], [167, 210], [206, 254], [7, 52], [9, 54], [198, 265], [7, 56]]; loss = 0.013508 low_pass_filter = 0.300
+Epoch 0: | | 24759/? [4:13:36<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 24760; scene = ['e9066f9a8c2aa1d1', '96c1754d9527cef7', '4be78a34f5d97b64', 'f8179df095e9575f', '99f6fbe55cbcfdc1', 'b03df4c4382500a8', 'c34baa7a466d6f17', '191d93d539d59e6a', '8094d6a3dfd3333f', 'ee05b13cdf928ba3', 'b382a321245b2789', '66e4f3268dafe823', '1a9297aa64507e8b', '2e4cb954129dbba8', '9cb320f193eedcc2', '33eca79b369a3ed1']; context = [[14, 60], [4, 63], [3, 44], [25, 92], [52, 94], [99, 145], [56, 99], [95, 156], [54, 119], [9, 74], [80, 119], [79, 129], [0, 41], [42, 94], [43, 97], [112, 177]]; loss = 0.009804 low_pass_filter = 0.300
+Epoch 0: | | 24769/? [4:13:42<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 24770; scene = ['41e59871b42221a1', 'e5f3f15563142757', 'a47b488c572774a3', '35f8340a1b25d459', 'ecf309ffadd46a42', '9b5af8dcc2af29a9', 'a67c4edb735cc1b8', '203ebd4a7ecd7351', '8feb9f00718a9ec1', '23342285a08b05f9', '1a63fc7a0888336b', '4b330b71b8aea5f0', '74d59500412b3a6d', '1bc4f80907befd27', '056a4a7e82bd4a08', '7972dc0925069bf7']; context = [[83, 131], [6, 61], [2, 69], [121, 173], [67, 120], [15, 59], [3, 47], [23, 71], [38, 90], [24, 70], [174, 212], [124, 169], [1, 68], [176, 230], [71, 127], [9, 49]]; loss = 0.012286 low_pass_filter = 0.300
+Epoch 0: | | 24779/? [4:13:50<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 24780; scene = ['b210bb589468fb4d', '8de0c4ae0c5bb988', 'dc5f38f005c3ebd6', '5e89c7650c97cdf1', '59ee32c2dccc3dba', 'e2ce81d901cdd6c7', '31bad60f5b6bbd14', 'c87ed13477475e4a', '3fcac0f29c94b5e6', '1dddf8460c0c49cb', '5851772147fe79f3', '524fe76ae272d2ef', '6b076ff0fa76674a', '7f6642220b54f702', 'c0ab759d761f2868', 'f5e2894f19b60dc8']; context = [[100, 160], [6, 72], [34, 99], [0, 41], [9, 61], [12, 75], [23, 70], [0, 40], [56, 123], [83, 121], [16, 79], [1, 39], [193, 257], [43, 102], [21, 66], [153, 200]]; loss = 0.010521 low_pass_filter = 0.300
+Epoch 0: | | 24789/? [4:14:07<00:00,  1.63it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 24790; scene = ['76cface391a7faed', '87f46a01a4296d3d', 'b8a5be3f37c332e1', '7f1a7a988560b2ac', '48f0cf3536b29c37', '195e52b808cc5f7b', '01d70424679d81b4', '3fe81e368cf1011e', 'b8062aaa7a76eff2', '46a6f7a7a496e0c0', '7264da2e5617c4da', '75299e01a10d0b2d', 'dedbccf1aa181b02', '49362275159e338b', 'c377c3e9c9d3a658', '80c56b76ba0f1594']; context = [[4, 52], [84, 144], [12, 60], [15, 72], [25, 87], [6, 54], [13, 52], [96, 136], [8, 51], [4, 71], [60, 100], [79, 134], [94, 144], [43, 107], [63, 115], [5, 44]]; loss = 0.008723 low_pass_filter = 0.300
+Epoch 0: | | 24799/? [4:14:26<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 24800; scene = ['d93ceeba573fb491', '4602deeb27e9b472', '7113a6242fa0ecb9', '3cb9e154ab207d2d', '22511038a50ecabb', '9f000e8e31dffe41', '13f9eb4e79fd4def', 'e0f46f5b13a7737b', '07488c7551c1a967', '705cf9f15387a607', '4c6da61393cd5e31', 'e9370c6c28b03fcc', 'b32553fa725be102', '84915ac53fbf7e09', '1387814bb50733f1', 'cd742360e61d786c']; context = [[12, 77], [4, 65], [5, 54], [4, 57], [28, 79], [40, 96], [21, 74], [176, 242], [34, 90], [33, 99], [15, 72], [41, 89], [7, 48], [22, 71], [153, 199], [18, 74]]; loss = 0.012404 low_pass_filter = 0.300
+Epoch 0: | | 24809/? [4:14:46<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=23.80, train/active_min_children_step=4.0train step 24810; scene = ['36be66d194d57ec8', '0a4cbe699be68e5c', '83124d7f14f5e63f', '0a2a624ea539e195', 'b7b4f2f42c79e9ce', '646cc7d6374ec7ae', '0d3ae93e51547225', '85b281f0e77a632f', '208a59eecd4b555c', 'dda71026b1c95d17', 'b9e6692e064010b4', '4628e2b37db4e285', 'd752c6a596930489', 'e218f9241aec777f', '69f96bf5ae7b98ec', '3c046c40d6f851ff']; context = [[0, 59], [27, 67], [40, 96], [84, 145], [159, 213], [176, 238], [57, 104], [14, 71], [12, 67], [169, 209], [2, 40], [12, 50], [47, 90], [7, 53], [52, 110], [39, 83]]; loss = 0.011635 low_pass_filter = 0.300
+Epoch 0: | | 24819/? [4:15:05<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 24820; scene = ['7eff316fa46c86dc', 'db00c9d61968623b', 'b9baabda7e1103c9', 'ece5216326fa2f72', '9579af646646f7a9', 'b72d9fdc671b2e3f', '1fd04b3b726fc68a', '5c9c5decaa12cfd1', 'e4d69e87d73f574c', 'd637df47561724e7', 'b27550ce7b33d218', '012019df6ff17e30', '5016750fece91181', '5862391ea26da3ea', 'ceeb544dc7e54313', 'd2b1b93dee94507d']; context = [[9, 61], [13, 74], [5, 66], [3, 69], [42, 108], [7, 49], [40, 84], [2, 51], [59, 124], [80, 139], [16, 78], [10, 53], [1, 61], [4, 49], [182, 229], [24, 91]]; loss = 0.015391 low_pass_filter = 0.300
+Epoch 0: | | 24829/? [4:15:21<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 24830; scene = ['335bf6cc102962d1', '1b28d4488bbd73a5', '3394846340d63c73', '4c067452588bb4bd', '2e2cce8b80bc8018', '453edcb688f085fb', 'd60a0aa6d5711b80', 'ea746408d4ea4e51', '6d45a2090f8a7bee', '62c4b13b4d673035', '1badfac3b77b18f6', 'b4598653ccfd0f54', '8ffdc128b3bba1fe', 'b0c960c65f62d755', '50a66db80eba783d', 'c7891efd731cecb6']; context = [[11, 68], [19, 62], [88, 128], [36, 84], [3, 50], [86, 152], [11, 59], [68, 112], [0, 57], [13, 78], [3, 53], [65, 103], [84, 131], [49, 108], [26, 76], [2, 46]]; loss = 0.007767 low_pass_filter = 0.300
+Epoch 0: | | 24839/? [4:15:40<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 24840; scene = ['ef0b4dcd840bda76', 'd93ceeba573fb491', '46b40da68830b18b', '6e58885ab481a69e', '47859ae6b9a42597', 'b75e800d18bafa7a', 'bf22c42ad27b81d1', 'c8041821e77b3d89', '0ca38de167ab1697', '38cbdb5443d28734', '5bad86b53e6dc18b', 'b6bc2793bbe942c7', 'd1d41b208f1c933a', '57bdd8129114cd12', 'f3cc9c3a68aece89', 'b751aa692a5336ac']; context = [[27, 70], [26, 69], [92, 136], [37, 77], [73, 133], [77, 143], [42, 80], [0, 54], [79, 139], [121, 161], [40, 88], [40, 89], [72, 110], [43, 90], [38, 89], [65, 124]]; loss = 0.010343 low_pass_filter = 0.300
+Epoch 0: | | 24849/? [4:15:52<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 24850; scene = ['7273382ad589d7ac', '549d70078346dcee', 'b382af5f342061fa', '3cac75e60965dc6e', '77c788d08b2ce6bf', '9f92d7e79d4a35bb', 'd0e7e477ff1174d4', '7b2c118f021e6902', '1c1171aa48cd3d30', '6817374ad089ff46', '03036efc7c7ae3b5', '3effc4406f9ddaeb', 'd7b9f1dac0249ebf', 'cdfe3555d603c114', 'a3bc042b68a67193', '5a99fe9366d19a76']; context = [[3, 63], [10, 71], [5, 72], [22, 84], [20, 68], [12, 65], [23, 71], [0, 41], [100, 145], [136, 174], [177, 231], [6, 45], [10, 69], [0, 41], [4, 72], [7, 73]]; loss = 0.011664 low_pass_filter = 0.300
+Epoch 0: | | 24859/? [4:16:03<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 24860; scene = ['fca51d820d274436', '8683a8b09cea1991', 'c807da7dac2e7927', '280c0c2dd789cd25', '87fd521518dc4cb6', '3b979b9dac2097a2', '8cf28ca6dc386dd5', '657ed7177ce06af7', 'e228336cfbfcb179', 'c260842ca527acec', '0d0d5f86ce65d2a0', 'cc599b021804a5b3', '874678686325796e', '282c34d21fc592cc', '95a3ab26d547d0e2', 'ff606885fba519dc']; context = [[2, 65], [78, 130], [51, 97], [231, 275], [56, 119], [56, 109], [11, 71], [19, 80], [115, 176], [14, 70], [57, 109], [22, 71], [86, 131], [58, 110], [19, 82], [134, 191]]; loss = 0.010470 low_pass_filter = 0.300
+Epoch 0: | | 24869/? [4:16:22<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 24870; scene = ['50b2b1847f0c3ec5', 'f7b38b4801c35c54', 'f8448a1d0e098580', 'd862527a043561c9', 'bc5f4b5e37f71aec', 'a1a0bcce8001f776', 'c063a92c7a44b6a0', '861fd42e408817bc', 'b64f6fc16d34be37', 'd1910994e205375f', 'a3a29f751ab5536c', 'd7771ae79c3f26a6', '35bfad0493df3456', '9789c9bca500f60d', '1f2c37aec9ad5c43', '1f67d024b6212444']; context = [[63, 109], [60, 124], [37, 79], [24, 91], [21, 61], [54, 120], [42, 110], [47, 89], [97, 153], [94, 150], [58, 102], [4, 45], [2, 43], [60, 118], [80, 124], [130, 198]]; loss = 0.010618 low_pass_filter = 0.300
+Epoch 0: | | 24879/? [4:16:43<00:00,  1.62it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 24880; scene = ['05985e1284e4f7c2', '802aa8d1e6f98319', 'a1169316c41a6e2b', '0aaaf5508f2ff485', '79fbc7aee92af1ae', '0d1f13c67d0758eb', '9f9f38862998b28f', '1072d53e5353bac5', '5661874e84a498a5', '5eca48d9febf5e70', 'eff98653337775a8', '6dd5bd6445ada623', '5be8385a860cd167', 'a2ae856e2faf3097', 'a3214062cd1950df', '0339818f120ea7ab']; context = [[12, 60], [9, 54], [25, 67], [100, 147], [16, 55], [22, 60], [90, 141], [6, 65], [8, 73], [2, 47], [19, 65], [64, 123], [9, 48], [8, 57], [70, 124], [15, 60]]; loss = 0.009594 low_pass_filter = 0.300
+Epoch 0: | | 24889/? [4:17:01<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 24890; scene = ['0d29df52e52443e8', '7c6cff8643a2c250', 'b59fba30c46e869b', 'd3a667f950f7c572', '3788c6c82dcb0db2', 'accdafb6a3264bd1', '9722a4675ef08f7a', '5b42aadc59b3f4f3', 'ab69710e23ffa519', 'b5a9d569512adc78', 'aa6af775f4c69693', 'e1f74a2bc6c577f9', '42a8e3c55088a4dc', '5ee57f2a8400b256', 'e8d604150ae0360d', '25be53ace2fc19a9']; context = [[46, 91], [1, 57], [38, 101], [3, 57], [56, 100], [207, 271], [0, 47], [84, 134], [63, 116], [0, 68], [9, 70], [9, 48], [117, 157], [141, 201], [4, 42], [5, 52]]; loss = 0.010687 low_pass_filter = 0.300
+Epoch 0: | | 24899/? [4:17:16<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 24900; scene = ['cb9d0d7099e2f296', '334eb53845f3615f', '7dbd9631683c5ae8', 'a1331ad1467f9dbb', 'cf579459b0fb66df', 'bb518b3a290d5e83', 'c1184830a0171bea', '7426a108ff0bd8f0', 'cac37e977aa56490', 'eeeef9bad8464592', 'd28dd035c45d7b06', 'cd1b750af1701dd8', 'b495905da7f31147', 'c7df75f0a22b9980', '58dd91617d378543', '57c4350a67896dd1']; context = [[0, 66], [6, 59], [57, 115], [95, 146], [19, 63], [40, 102], [61, 113], [163, 226], [29, 69], [4, 65], [26, 82], [16, 73], [21, 77], [5, 47], [23, 66], [44, 108]]; loss = 0.012714 low_pass_filter = 0.300
+Epoch 0: | | 24909/? [4:17:23<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 24910; scene = ['f9eb323d5f901122', 'fe5c3e12d699d77f', '36ecd2c090551e5b', '8f17b5780b30ab5a', 'e4e10e6b388f3a91', 'adb159b1165df8ff', 'fc454ba4fe081bcf', 'a4b502cb83a02b68', '4ac72b0e9795380c', 'afc302429757e7af', '082df11768924c7e', 'ff2bd6b594638b0e', 'afe7352745af8df5', 'a3e389b0c33b31cb', 'cdbb5456c4a6c130', '553c15ccd8a7c665']; context = [[10, 61], [68, 127], [61, 129], [5, 54], [3, 65], [5, 58], [14, 57], [21, 71], [44, 88], [137, 176], [31, 87], [24, 70], [1, 56], [30, 78], [29, 92], [21, 66]]; loss = 0.012364 low_pass_filter = 0.300
+Epoch 0: | | 24919/? [4:17:30<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 24920; scene = ['e2b6581f1a1a2fcb', '1155d2e97e08de55', 'a43b3a139f3046f6', '1a4dd16b9b911cf0', '4ef60b7c94a88741', 'fefa4193d759dfd6', '3151f48fb640d69e', '3c9cc4d395328b64', '42d7020bbab0052a', '46a78ac601ddbc10', '2255dcc7a505e0de', 'e33fe4265015eab3', 'b251bed166d04e8c', '8a87ccffef19b65a', 'ff1686153c503b0c', 'cb0866c6302d4c93']; context = [[29, 81], [58, 100], [69, 116], [13, 51], [9, 60], [17, 62], [1, 67], [112, 158], [165, 218], [43, 88], [31, 86], [35, 76], [14, 82], [169, 223], [1, 39], [90, 150]]; loss = 0.009353 low_pass_filter = 0.300
+Epoch 0: | | 24929/? [4:17:37<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 24930; scene = ['5c666a58554a0ff9', '18b989e89150a242', 'f704d5b89d6b19c2', 'edb43317316d7f17', 'c87c40da1e4a9ae6', '5f1c50e26de61455', 'cbcf05baba7c9624', '3155b05b96e2111e', 'c580d7b52ffa2fb7', 'e26f0a1b140b74ca', '755ac8f9f91414a5', 'bba891ea827e88a2', '86d6705131e38b99', '9e8db62a9b3cbd5e', 'bc784a299b459e92', '3230bf3dc93cf6d1']; context = [[0, 51], [5, 64], [11, 62], [8, 57], [39, 99], [13, 76], [14, 60], [1, 49], [86, 142], [0, 42], [33, 98], [42, 85], [77, 137], [112, 152], [0, 56], [188, 238]]; loss = 0.010888 low_pass_filter = 0.300
+Epoch 0: | | 24939/? [4:17:48<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 24940; scene = ['8d9d6d9fa213b895', '105283c6a2b6ad00', '647839cbca8db12f', '9472e0c8a62e30d1', '7345aa2a210fae8c', '288a09225150f472', '767a19530957b790', 'e1d7b52a30d60b2a', '12025fef56ee3d5b', '545f0bf834b0b19f', 'b55b27c9d8f7ad94', 'fa5dc3f82887cfad', 'c09d7898ef37ba32', '7b6c709c0eb728b1', 'f46d9b174fbfd403', '0a4e072b35ec9aa6']; context = [[50, 95], [7, 57], [7, 60], [43, 87], [8, 59], [113, 166], [47, 92], [10, 62], [0, 43], [129, 188], [16, 76], [153, 206], [3, 41], [63, 109], [16, 54], [55, 105]]; loss = 0.008460 low_pass_filter = 0.300
+Epoch 0: | | 24949/? [4:18:07<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 24950; scene = ['d2296281f2cdccf2', '348b1e8ab15f2c59', '7e9ebe40970c2a30', '20834d8e45bbdbb5', 'b0a6f8dc91bf958d', 'bb80f7a48ed9c0a3', '08573a54ffbed332', '14b4a87eca54c72a', 'fe09fbcc7217f075', '1115254066cc1476', 'a53c93ca22ccad14', '2c61c4c2a252057e', 'a2611d3a2917309c', 'f1789e98aa1ed5c8', 'efc61426e83c812c', 'a65ef54b0f6cec2f']; context = [[53, 94], [63, 114], [1, 55], [33, 92], [12, 73], [108, 150], [42, 82], [152, 202], [0, 38], [63, 115], [231, 275], [22, 67], [214, 261], [22, 61], [51, 100], [1, 69]]; loss = 0.010427 low_pass_filter = 0.300
+Epoch 0: | | 24959/? [4:18:29<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 24960; scene = ['fbe6e2473b2cd36b', 'dfb361bb71a80673', '325f0d952af7be66', '5979f3317fc24cc5', 'a7627ba979e7203a', '8f4411404d35c9aa', 'd307d393104be667', '58ec77029a3dc124', 'ce2b5f59e7d1a168', 'bfcc388041b60965', '642d3fb21f60cc53', '1668a84868a4854b', '102b393a88361a71', '677050e1ae2da818', '1d6d289574b75e09', '36e33959215c9d0e']; context = [[25, 74], [129, 167], [177, 225], [11, 69], [42, 100], [4, 61], [13, 69], [116, 183], [35, 96], [77, 130], [37, 76], [16, 75], [86, 124], [0, 43], [81, 135], [2, 56]]; loss = 0.010453 low_pass_filter = 0.300
+Epoch 0: | | 24969/? [4:18:46<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=24.40, train/active_min_children_step=4.0train step 24970; scene = ['152edf1f120feee4', 'b6a8ddf4124bde1b', '2518a6d186597a29', 'c14e6b2537cec7c6', 'ceeb648cbc5cb0f4', '6ee5f113a2185f1f', 'e70461340183a253', '2bd76828652b5837', 'c07125035b8cb8cd', 'b32bc68eca8088e3', '63408a45ee202911', 'e88bd8b7c02d5f37', 'ff127b11311493c5', '5e3ecd33b55910ea', '2dd148a95f491483', '5c83a203ed06a6ab']; context = [[126, 189], [119, 161], [15, 78], [2, 59], [8, 56], [83, 150], [31, 94], [138, 197], [18, 75], [7, 50], [65, 125], [2, 62], [18, 76], [11, 75], [52, 104], [0, 38]]; loss = 0.012136 low_pass_filter = 0.300
+Epoch 0: | | 24979/? [4:18:53<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 24980; scene = ['28ea6096b062a3c4', '0d4c07701fbcd987', '75ba1cf5e8ed04f0', '8b89b00938bca1d3', 'fe83cdddf24659c6', '648c1c7710df04dc', 'c22a3f3186fcc45c', '26c433edd7f8c92d', 'e3d545fddc61ad3f', '815c5d2c059f38c6', '276ef99fe1e6cd12', '92392d6c80ff0b65', 'b9088d10a87467ed', '7c3cb1f442befb1b', '1fa1c6787f0c73e6', '3d3cf44d557987ec']; context = [[12, 77], [114, 168], [119, 176], [0, 39], [23, 81], [35, 85], [7, 73], [4, 66], [174, 221], [21, 72], [13, 64], [32, 71], [107, 148], [111, 173], [11, 67], [62, 129]]; loss = 0.010081 low_pass_filter = 0.300
+Epoch 0: | | 24989/? [4:18:59<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 24990; scene = ['ce4f7bf72c8a56df', '8dd05db385680029', 'a11a4c848afc6292', '0f269fbd2e54d5c0', '305930c2ac2205b3', '50cb9194a0e25204', '3111579f1c9d5f28', '679057d0e2febf0a', '8d6d9857a57baee3', 'aaacce7a4a7c9725', '3d0c6eacfc39aafa', '3bd99b35d4566e6d', 'a4776e96ce74edc0', 'ef84137ab9a199c7', '76f8c934d299d0aa', 'bc20a805c32503b4']; context = [[106, 174], [16, 74], [11, 73], [8, 49], [67, 122], [20, 67], [174, 217], [7, 50], [56, 112], [194, 258], [135, 196], [3, 42], [11, 72], [6, 62], [46, 109], [15, 77]]; loss = 0.011553 low_pass_filter = 0.300
+Epoch 0: | | 24999/? [4:19:08<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 25000; scene = ['953a7c1467296fe5', '5aaeb25dad8f677e', '25aba9aad59f0eba', 'cb3b1652c6eab780', '713dd7ab28264c16', '66c2a901f10a14dc', '905891b1bc846ccd', '8421d1b832751b06', 'd1594196fa748b2b', 'e83742a3e43bd126', '7d675692ce253ae5', '729fa587a8a49343', '62d9c30b7009ade6', 'd063d31fc9a7af2b', '20ad4007f8dc89fb', 'cf888eee79e98e59']; context = [[55, 109], [3, 65], [216, 258], [24, 80], [91, 137], [36, 93], [47, 85], [3, 53], [126, 184], [27, 78], [9, 64], [53, 104], [27, 76], [21, 81], [7, 50], [11, 66]]; loss = 0.011805 low_pass_filter = 0.300
+Epoch 0: | | 25000/? [4:19:09<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0validation step 25000; scene = ['dfb6932b1a712d0d']; context = [[16, 64]]
+Epoch 0: | | 25009/? [4:19:27<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25010; scene = ['9d92037a929272e8', 'd4d64593d82fa175', '64b035cd851d2f46', '00b40cafaa3a389a', '79e14401f6633eda', '24887cb60eced656', '0978f12b4df5bae2', '8020e0b42282ce7a', '1db6c7094f88da45', '589b0dc1fea3fe62', '4ccc05527dea95a9', '855d03992bcf5480', '9ba7ffd700b4159b', '39e1f92f2731b7e0', 'ddcd077c7e0a67cf', 'ea9d5cef5a33d0ae']; context = [[1, 41], [107, 158], [68, 120], [2, 65], [86, 132], [3, 66], [0, 43], [87, 128], [22, 66], [0, 48], [196, 257], [2, 45], [36, 88], [144, 188], [199, 240], [96, 144]]; loss = 0.009889 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 25019/? [4:19:47<00:00,  1.61it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25020; scene = ['ee57aa9dae00cb90', '8860d3251307030c', 'a26363624d7d2ebd', 'd86fbb8ba2bcee27', 'c4a00d6ff8529867', '95e2ddd4cdde4c5f', '5bece91c5864e528', '750888ee3338e002', 'd5272681859ac87d', 'dd709a76c4ade039', '44832125f07d776b', '92c6b068eef863c1', '5f50dee192160381', 'd312a48eec9207af', 'af929bef74892ce6', '3cfb633b947bdfe3']; context = [[40, 104], [4, 67], [6, 46], [60, 111], [32, 70], [34, 74], [29, 91], [29, 94], [16, 76], [6, 73], [20, 76], [49, 117], [8, 66], [53, 98], [41, 89], [47, 88]]; loss = 0.013340 low_pass_filter = 0.300
+Epoch 0: | | 25029/? [4:20:06<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.90, train/active_min_children_step=4.0train step 25030; scene = ['ced9eaec2af72a37', '709fc2c17b0ea274', '9581c4e12f850b42', '89a0b178ae2983b4', '29c4c646eb53fbd4', '11f1ad731ee02dfa', 'af225d8e8adf6ca0', 'e2535bf2bb4ca423', 'a27a32e39e82bbb4', '0575b49c3a451110', '00e7f68556c9ec9a', '7ee21d878ae03272', 'c55064d2cc530328', '8d0bb77de4773476', '88c9fa0bce5f1601', '5cae0c8af1963d88']; context = [[41, 83], [35, 83], [57, 108], [0, 42], [99, 161], [79, 141], [202, 246], [77, 117], [215, 278], [87, 137], [3, 53], [30, 69], [57, 116], [38, 78], [110, 159], [206, 245]]; loss = 0.009341 low_pass_filter = 0.300
+Epoch 0: | | 25039/? [4:20:18<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 25040; scene = ['73b4f3120576ae0d', '699bc7dbd0bcdaec', '0c14e3a75d58b35f', '0d89dfd83ed81e71', '071eb67ff13bf80d', 'ad2bddef36995b31', 'f0bda6f91712fd5a', '4665abcd48bb710a', '24f7243394904def', '16c47f696bf6293c', 'df74597c3957bd8c', '646a74f178afb3a6', '1c5c50af69deab6f', '1c71ba8b64ef1410', 'd06cb007800ec3bc', 'e61efa08cd504fff']; context = [[52, 116], [5, 49], [6, 47], [107, 153], [38, 97], [25, 93], [228, 274], [6, 52], [13, 52], [215, 268], [53, 112], [53, 109], [37, 94], [29, 70], [102, 146], [17, 64]]; loss = 0.009382 low_pass_filter = 0.300
+Epoch 0: | | 25049/? [4:20:24<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25050; scene = ['41c4920e80cd6202', '8e52fac3c6d4e1a2', 'b071ce2b817199b0', '0b714d93b8d1d0f4', '105e6a039d9e486b', '73e75f62ea5a620a', '020be62e8d7528cf', '34b49975160a39c4', '6d02873a8e2a1124', '724f9f3b50e2a778', '2d8cb7be1e2f7383', 'b6ba0fe84eda0476', 'd26a81d0bd4443b6', '37a6668e37b81707', '58626c3c9ecc281d', '98158a10ba43e6be']; context = [[125, 166], [150, 208], [23, 91], [35, 90], [14, 60], [2, 69], [24, 76], [12, 80], [90, 136], [66, 105], [32, 84], [27, 77], [21, 66], [20, 60], [100, 142], [8, 71]]; loss = 0.011939 low_pass_filter = 0.300
+Epoch 0: | | 25059/? [4:20:41<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 25060; scene = ['f6a14acb31badb11', '08c6d6ab90e6b86b', '15f89ff3e4a8ddf3', '79632305e38f4e61', '5105fedd23e13f92', '931437c7f8178635', '148d73d25691beab', '507b9f1675988055', 'd1a6d6a046f37dbe', 'd67ff3b1493cf038', 'bda51613b8944e3a', 'f5ea225f5c7fc039', 'e313fc42cfe43a81', 'c53eb8ed399c3598', '0b386825ee4147cd', 'fc9eaf68cf867fff']; context = [[135, 178], [11, 66], [85, 152], [87, 134], [35, 79], [34, 80], [1, 39], [49, 96], [2, 64], [75, 122], [9, 51], [8, 71], [92, 158], [86, 126], [0, 49], [15, 58]]; loss = 0.010670 low_pass_filter = 0.300
+Epoch 0: | | 25069/? [4:20:59<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 25070; scene = ['c59b6f75d304391b', '6b8eed37ef5bbb26', '05942c4e02b982f6', '6eae271fb9939971', '477b299b36c39b44', 'e3f00fedd66a5a18', '2f04d4aea94eada2', 'e3e8d578bcdf23e4', '2075d6b4ba887069', '9411f16aee4d909f', '5cff1e4a72fd38dd', '09238d4624f16c55', 'fdf733d3297e24f3', 'eab2801e7ce5e17a', '2a6b47d35a74d85b', '3567e42cd469fe52']; context = [[9, 56], [61, 103], [45, 89], [10, 49], [30, 94], [14, 71], [78, 144], [1, 69], [16, 69], [183, 228], [127, 176], [26, 66], [0, 64], [0, 54], [20, 71], [57, 122]]; loss = 0.009908 low_pass_filter = 0.300
+Epoch 0: | | 25079/? [4:21:19<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25080; scene = ['dd5e91b4024f06e2', 'f9a81a07c56f48e0', '74657f6618a55f19', '334bc3bd131484d5', 'bab67c28f4d7c51d', 'e28995b255868344', '5f9a86b7e44253fe', '1d66813a86fe0c17', 'a66645498ef9d1cb', '5792c9e2e44b905f', '0e6672c62a9100de', 'a50b756fe602d465', '4bb2c640159a3265', '31e3f6fe7dedfb1b', 'dd6c60a1cdf29b78', 'b818d1ecf495afe1']; context = [[38, 90], [93, 138], [45, 107], [36, 93], [11, 76], [52, 95], [3, 47], [10, 60], [3, 60], [48, 96], [9, 71], [90, 142], [16, 60], [87, 146], [5, 70], [22, 77]]; loss = 0.010372 low_pass_filter = 0.300
+Epoch 0: | | 25089/? [4:21:39<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 25090; scene = ['4c35cb67a64f2d48', '4fb5a592fc910ab4', '629d482dda9a53f2', 'efa2398f2080df3a', 'bf2680d4d480d914', '388cf64d2f0ceec5', '48c1000f6da27a64', 'fdf8b5f9f500a705', '2e667fb64ab04390', '9fddc14f5349e77a', '121a82c0523487a0', '6e405d9d8f674ab6', '28776a82c3302757', '1d2bf04b397af5cd', '23aeca1b7b3e453a', 'eb52fcf26d327e46']; context = [[8, 74], [12, 72], [20, 84], [32, 91], [2, 70], [1, 58], [33, 95], [101, 159], [7, 64], [27, 79], [11, 67], [62, 100], [4, 67], [17, 76], [50, 111], [208, 258]]; loss = 0.010539 low_pass_filter = 0.300
+Epoch 0: | | 25099/? [4:21:58<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 25100; scene = ['1cb9d805b4705d94', 'cd709c2b3b9e8632', '464d57ea5f1229b1', '5418ed938b5a82e9', '399bc252b234af29', 'f1ef33d26a5b1bf2', '912297ab9a98abc6', '9e13cbf563b9747d', '1c55c064cf34ad0c', '83fde523c371f3e7', '67e3c2f5fa57a159', 'c8d0caf183758d98', 'eb630841cdb3a850', '60b6914bafa3c3f2', '98fcfd8ffa22fc8b', 'f431cff00c684f2c']; context = [[94, 132], [119, 161], [170, 226], [26, 85], [0, 65], [1, 59], [66, 106], [117, 168], [107, 156], [103, 142], [28, 68], [14, 52], [17, 84], [2, 45], [126, 165], [36, 89]]; loss = 0.010484 low_pass_filter = 0.300
+Epoch 0: | | 25109/? [4:22:15<00:00,  1.60it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25110; scene = ['3cef9da1b69766f3', '060cd8515c39af86', '8b561563ddd202f1', 'e8c2bbf9edd2bfba', '174ef1693f1e77e5', '5981332b2e570137', 'd3ba8711a0704c3a', '66329d4d2cea4a78', '2d44cb40ad9f33b1', 'cf0bef80ad621a1a', '569814748e33dc27', '0eccd2c6e5c3747f', 'f0ff3f5228398f46', 'c26ef624913b531a', '0822254bb6527e87', '7cda83b61b52fb13']; context = [[21, 71], [203, 271], [2, 50], [6, 56], [55, 111], [9, 68], [2, 54], [12, 50], [13, 56], [108, 152], [37, 89], [37, 81], [102, 158], [27, 93], [31, 74], [2, 58]]; loss = 0.011207 low_pass_filter = 0.300
+Epoch 0: | | 25119/? [4:22:30<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25120; scene = ['fae6b0485c4b48ac', 'aac681d019b30c56', '52c9ffc4ef2a36f4', '71c29ce63894ae3b', 'f77be837dba5f992', 'cbf43526fd464b32', '783ad88c8f9c4c7f', '2584b6752147b0be', '75ac71c654be685e', 'bb59055db453ff30', 'c18c0da0b86ded93', '0bdc7f573090746b', '2f82f0dbdd752d39', 'd3d44712e9d5a778', '3a93a5955496307c', 'e6ac76e77abf7ff8']; context = [[2, 40], [8, 50], [36, 88], [21, 86], [86, 146], [58, 114], [28, 96], [14, 65], [219, 259], [17, 81], [72, 139], [9, 69], [180, 228], [70, 122], [49, 105], [133, 183]]; loss = 0.010262 low_pass_filter = 0.300
+Epoch 0: | | 25129/? [4:22:37<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 25130; scene = ['197ff5c7287f0d9b', '3f0671b3aab75af7', 'b81984c3db6d299c', '8a44e9b2b9fa4231', 'b1d60da6d903d72b', '1dcb240325fa36e7', '17d52a5b96e9c278', '2e904050b495396f', '6439064a08d02629', 'f5b6c988d6461e03', '2773a6e9f10c1695', 'cfb684150c0d3084', 'c3ea88797ba49d4a', '7cec1efa34eebb2b', '695a69f73b976dff', 'e7428d7ad0472a80']; context = [[166, 205], [103, 147], [74, 120], [1, 39], [0, 43], [95, 159], [22, 88], [82, 127], [8, 58], [30, 91], [0, 60], [94, 145], [7, 73], [24, 70], [28, 76], [25, 84]]; loss = 0.010652 low_pass_filter = 0.300
+Epoch 0: | | 25139/? [4:22:44<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 25140; scene = ['94ef76e68046fcc5', '72c76753251034c4', '368109519bf4afd3', 'd001a09d4047c3d9', 'ec3fcc76dc7935b4', 'ff8cf27635ec8f79', '5a149fbb9799b5f1', 'a50412be59011ef1', 'af6b1c8a353f5f01', '95604de455068830', '4aabd0dd33849c4d', 'cfc6396b2c66cf16', 'efde93e3e23df6e1', '82d5cf26ac1ecbd3', '9b6ca3cfe5886688', 'c138e672617341cb']; context = [[42, 90], [4, 46], [2, 50], [19, 70], [0, 46], [14, 71], [0, 56], [0, 44], [113, 158], [75, 114], [2, 41], [130, 181], [134, 189], [82, 135], [148, 189], [7, 45]]; loss = 0.010449 low_pass_filter = 0.300
+Epoch 0: | | 25149/? [4:22:52<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 25150; scene = ['a1919a3be0610041', '4fb5a592fc910ab4', '388cf64d2f0ceec5', '5ea49c4330735de6', '4c35cb67a64f2d48', '0378b4978168d643', 'af09f44bba9e84f7', 'a9dac033ee8e97c9', '5c631011734e2067', 'b9cea03dac60ed8b', 'b62e21b875ee5c9a', '3ed72542d217a98e', '433dca64f1849830', '86881d5b0782d118', 'c0c758b51b097148', '8d842be57d4be356']; context = [[161, 206], [30, 68], [25, 66], [96, 162], [59, 99], [0, 41], [33, 79], [9, 63], [4, 53], [76, 127], [121, 161], [21, 70], [62, 106], [2, 50], [1, 48], [2, 45]]; loss = 0.008889 low_pass_filter = 0.300
+Epoch 0: | | 25159/? [4:23:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25160; scene = ['aa24838f16305995', '7aee80abe39c7d03', '63eb524e44eeafbb', 'dfddc9d209e8f281', '9929dcc56e6ade90', 'db84f84b1d775bb8', '1807c250a83d90b3', '7c118e4cc07c075a', 'a5b68d36c4639021', 'e15484e3735812dd', 'b88508fa7b6a870d', 'c2d8c9cdc34bfb81', '2a9d20d8ed924d2b', '953913f710eb02c7', '52ba4ac9ee6a478b', 'f40474e9d43e7fc3']; context = [[24, 72], [158, 197], [6, 65], [87, 141], [2, 41], [0, 41], [22, 90], [27, 91], [192, 239], [129, 192], [1, 41], [122, 184], [65, 111], [4, 63], [14, 63], [57, 109]]; loss = 0.010486 low_pass_filter = 0.300
+Epoch 0: | | 25169/? [4:23:29<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25170; scene = ['7885bd17267ecef4', 'bdd1f0f476f00873', 'f0054b426df26751', 'b3c0fb7f78f89ffd', 'f8e96138f7a049ab', 'e41b102e225468ed', '2f073899e03ce548', 'a4b22166c6fabdce', 'f19f4b64db82994e', 'd0070efeb831b3c6', '8184898784ab8366', '32e02be2574101b2', 'be06cb0dddaf9da6', '24b67dbb503a87b7', '9059042bbf51985f', '07e43ec814c3ae7f']; context = [[0, 38], [27, 87], [82, 136], [90, 135], [7, 69], [5, 57], [107, 175], [94, 157], [162, 216], [63, 128], [0, 42], [101, 146], [124, 185], [88, 143], [22, 74], [71, 135]]; loss = 0.010750 low_pass_filter = 0.300
+Epoch 0: | | 25179/? [4:23:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 25180; scene = ['e617d57877cde526', '62b236553c63fece', '60ff26df8d284a27', 'cf78027fd4790810', 'fa42d332a3b845b4', '56ea303d0208eee2', '7fc3c9ec1c938fe7', '53989f07ffed6e2b', '1f2f3463069ec6c6', 'efce7264206c4d36', 'e367fd33b59dbf40', '0af84dfcb9f53f97', '3aab66fa01a69daa', '528b96fa2edce81a', '68dd157e5cdb64bf', '4ed711808ac6f7db']; context = [[33, 82], [41, 85], [53, 121], [136, 197], [0, 45], [22, 86], [0, 65], [8, 57], [39, 78], [62, 105], [22, 68], [39, 88], [35, 86], [36, 94], [33, 91], [49, 112]]; loss = 0.007994 low_pass_filter = 0.300
+Epoch 0: | | 25189/? [4:23:56<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25190; scene = ['ab11edbcde7de99d', '0e6672c62a9100de', '96f6c82c9c693df4', '3c136b7d09306029', '4787f5b4b5402ca8', '1220a49e5babaacd', 'e9a1cdca9abf71b2', 'd79a09f5a0487ad2', 'da54e4571a2f4637', 'ead979aa76eaa492', '41c2363d43d3d712', '9bafc381dbe8264e', '32ae85ad2e5db58d', '54354a0322534606', '0902983e76d12d43', '69916f6abedac5b2']; context = [[31, 72], [59, 127], [209, 254], [21, 74], [19, 70], [19, 66], [54, 118], [165, 233], [74, 137], [9, 63], [167, 215], [9, 60], [8, 59], [76, 137], [2, 53], [141, 179]]; loss = 0.011347 low_pass_filter = 0.300
+Epoch 0: | | 25199/? [4:24:02<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 25200; scene = ['ba5e5fb5abf3ed66', 'e7a85a4315af4cc1', 'e0686e6326f8c08f', '54e3c15407bfd54c', 'ed70d0293aae43d1', 'f76feb4610bb70a5', '957a51e4ffa1a8fb', 'ab42a131df988c32', '51799f9a8eacb945', '726cb0d916e76398', '3f08d16d1419ce64', '70031b2dc35b676a', '154abb0ceaa93fa5', 'bebaad423dbc6559', '20bdf8e95b77420d', 'b1057c3128c831cd']; context = [[63, 129], [12, 67], [180, 247], [0, 47], [15, 69], [22, 79], [106, 144], [56, 102], [31, 71], [0, 47], [0, 63], [1, 64], [35, 92], [164, 203], [40, 105], [17, 57]]; loss = 0.010032 low_pass_filter = 0.300
+Epoch 0: | | 25209/? [4:24:09<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 25210; scene = ['4466e384294450be', '67b48a8ef26faa69', '05f68f205088615a', 'e82f58c638cf3f5e', '1672c494acdf9a51', '52ff08cf915f9890', '177ec27d1a094371', '23c52859f21f94ec', '65d52755ddf504a6', 'a9aa19912b72f767', '42b4c926e4c0b0c3', 'd8af738fe0e075cd', 'c364ab8ae4c07ec2', 'd80659d665f7b903', 'd3c13f24d1748e4e', 'a588073ae3085066']; context = [[62, 104], [9, 68], [26, 66], [56, 104], [34, 76], [40, 78], [7, 64], [63, 101], [16, 66], [70, 116], [21, 73], [78, 125], [18, 68], [111, 174], [67, 119], [188, 254]]; loss = 0.010385 low_pass_filter = 0.300
+Epoch 0: | | 25219/? [4:24:16<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=27.30, train/active_min_children_step=4.0train step 25220; scene = ['1ddd88c201e11018', '04c82b5a0f572349', 'c0d90742fa7c4fd6', 'fee2f7c24c6d5e2f', 'c7d7d42e4b3136cc', '58aec0707d094569', 'a025eda8d656783b', 'db25ce184054217a', 'db062134f9dec5f1', 'c37054cf8ffe745a', '6713a81ed431d91d', 'c8c116c28ca108b0', '5d244ada6c250442', '7db4ed902d003a63', 'a9070de00e86feea', 'da127d5d82256afd']; context = [[211, 273], [55, 118], [34, 98], [96, 157], [4, 47], [45, 109], [93, 142], [61, 129], [1, 64], [48, 91], [1, 69], [193, 248], [1, 57], [114, 164], [3, 45], [39, 79]]; loss = 0.011167 low_pass_filter = 0.300
+Epoch 0: | | 25229/? [4:24:24<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 25230; scene = ['d677f3e6092f2fb5', '71ffdab54dd4d5a6', '30ed18ab2cc0e103', '7002050eaf600751', '3b55d9ff7f824fb3', '1b97512a507c1af7', 'be46f8455477ba86', 'ba46035ebb408dd6', '4ba1c378fd584bdd', '677f2e47f3371b23', '6d68e73f69d73d07', '09ab565950cc3b2e', '19c1be98c8cc8c2f', '2359aae1dcdcad57', 'a33ab61ae99bf117', '67fea88caebb1c14']; context = [[0, 62], [10, 59], [29, 96], [37, 86], [117, 161], [12, 74], [154, 219], [56, 108], [1, 52], [0, 64], [26, 90], [4, 46], [3, 63], [8, 74], [2, 43], [17, 58]]; loss = 0.007962 low_pass_filter = 0.300
+Epoch 0: | | 25239/? [4:24:32<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 25240; scene = ['4da0a7cb9fb12d2f', '990b5bccc9ec5219', 'd3c2119c388d1fc4', 'c15b01bb70c6a984', 'd8f5b070231de1e7', '52aa39175c690eeb', '4e8658949aa96662', '11d2d3c8b02515a6', '5b8556064467bbc2', 'af62f7a58c1c979b', 'f841958b4f3ea9b6', '56fa6943fe8aca9b', 'cf1c8a8fb8347d9f', '0c55d99325327032', '1be5dffa99a9743a', '0fa3084a8ad67f81']; context = [[45, 112], [66, 122], [11, 69], [25, 74], [39, 92], [1, 48], [2, 40], [91, 139], [35, 81], [144, 192], [41, 100], [17, 61], [65, 127], [6, 56], [5, 57], [50, 115]]; loss = 0.010962 low_pass_filter = 0.300
+Epoch 0: | | 25249/? [4:24:47<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 25250; scene = ['71753b7d416adcaa', '4ce6c5b15de6f43c', '6cf6f96bfa3da0c5', '45d83e284f33082f', '7a159ffb882659db', '87c675284f595cdc', '9cbc68c41da0fbc7', '03f4ab4ac23f39e0', 'e281213868014707', 'f2feba8931477baa', '37c9f8c6a4114474', 'c7525636cfe06a5f', '247d3873d5f3d9f0', 'd2b1e757b2e26c24', 'c2ea58f98a5f2338', 'eb382c47fa4f8f39']; context = [[8, 55], [48, 91], [33, 91], [2, 40], [23, 64], [13, 71], [39, 98], [0, 58], [0, 55], [17, 67], [9, 54], [27, 84], [2, 51], [65, 120], [29, 80], [71, 112]]; loss = 0.008802 low_pass_filter = 0.300
+Epoch 0: | | 25259/? [4:25:08<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25260; scene = ['0d089a7777ef9331', '91245106e17ab7d8', '4bd505299fae2fbe', '4b66bc17968e1d91', '54f45e1925ba7ec4', '43c0071c8ff680a6', '54155dc6235143fa', '1c262359b446ffb8', '438bfa064bca8f07', '2d0bb20ef2507c33', '3c56d27758531556', '67f02d86628f20e6', 'b4b8ae61f71c6318', '939847209cf6cfa9', 'd92a6ababd47f047', '43739f82f554c901']; context = [[6, 68], [13, 81], [9, 59], [30, 76], [75, 137], [181, 236], [0, 48], [52, 116], [9, 49], [183, 242], [85, 148], [39, 90], [1, 44], [1, 57], [180, 222], [103, 143]]; loss = 0.009610 low_pass_filter = 0.300
+Epoch 0: | | 25269/? [4:25:28<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 25270; scene = ['47a8853f48974faf', '398fc172733ae106', '8ca97af66552f055', 'c12b4b8fce580e89', '87fa399fdd73af24', '8c9eb97a7653d4f0', 'b020cec718b2a496', 'b791fb38e3fd8d03', '06fbc8d45e60e49b', '1844d01379136fde', 'ad498413c27daaf3', '374040fd2830320b', '7e84f5b757150df9', 'c79efdec1cdd45cc', '13e7b6934e6579c5', '7759fb0b4c2719d5']; context = [[9, 63], [12, 65], [106, 148], [8, 68], [0, 63], [20, 81], [3, 64], [135, 193], [5, 44], [12, 68], [31, 98], [18, 67], [101, 160], [3, 68], [158, 220], [12, 51]]; loss = 0.010158 low_pass_filter = 0.300
+Epoch 0: | | 25279/? [4:25:36<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=28.10, train/active_min_children_step=4.0train step 25280; scene = ['1e45a9e642f91197', '92bd10e9323fe423', '6a61530613e80e63', '851eb1bd00509e03', '0858737cc9d1c3e0', '52b9e011c488d98b', '9112a327c48c8a3b', '8eee7c848d368b0d', 'a7ced7f8944eb3ac', '20b6a336f9268d76', '25b0f2dc07ebe855', '2a569041a6d85d9c', '3da05d3eb5207cde', '49952f737be91dd2', 'f97a862ad842d7b4', '220a7e74010c2476']; context = [[28, 94], [0, 53], [1, 40], [54, 102], [28, 72], [5, 73], [15, 53], [23, 76], [51, 102], [129, 188], [124, 177], [160, 223], [115, 159], [105, 145], [27, 71], [7, 74]]; loss = 0.010075 low_pass_filter = 0.300
+Epoch 0: | | 25289/? [4:25:42<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25290; scene = ['7a6162d260dd845c', 'c72a6c3ac24e0c6b', '6e3ccf2193f8275d', 'd53e18e895fea170', '84740fb6b7e7148f', '6ab869711e65a527', '28039ea78b84ff46', '8438f949cbd62c23', '861a970a54cc1efb', '41905c60a21ef567', 'dcda03cf03c7c287', '996074b95549ba5e', 'c403c63210eaef23', '04f090fd282ec1a7', '581515abcd09a7f5', '85d5c64669a83b40']; context = [[22, 89], [2, 57], [29, 79], [114, 157], [56, 98], [5, 57], [45, 92], [11, 54], [12, 74], [4, 55], [186, 229], [11, 64], [3, 46], [37, 78], [8, 51], [14, 82]]; loss = 0.009492 low_pass_filter = 0.300
+Epoch 0: | | 25299/? [4:25:49<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25300; scene = ['41b75f50a603fe9b', '5e1da375ded17ca5', '445112299044c265', '58445fdf7117ea45', '206ab8a8f71bc4fc', '789e3dd7a059f5d3', 'f7f0e9c9bb11a8f8', 'f2d5fa6533aa8ff8', '42f9555cc5b7f279', '095b327d0991f54e', 'a28a3e656cfcfeb7', '7dd60bec52f5cac0', '5234deee5bf92f77', '28dfdf09d7e7f141', '6b03d5d098527b69', '669e90f57cbf67dc']; context = [[24, 75], [22, 64], [22, 90], [2, 63], [10, 59], [51, 91], [0, 64], [45, 105], [23, 76], [148, 195], [43, 111], [86, 134], [205, 258], [64, 127], [55, 107], [9, 71]]; loss = 0.011009 low_pass_filter = 0.300
+Epoch 0: | | 25309/? [4:26:00<00:00,  1.59it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 25310; scene = ['c693f4050f6b5544', '6e4df62f37b315ef', 'f74f0f3c1a554cd3', 'a393872941dbf17c', 'c0b62e7d58ab78b8', '2ec36b44cc18b5ed', 'a9070de00e86feea', '656546e561aec370', 'c37054cf8ffe745a', 'da127d5d82256afd', '6713a81ed431d91d', '5d244ada6c250442', 'd34fb0e92018e2a2', '58aec0707d094569', 'db062134f9dec5f1', '7db4ed902d003a63']; context = [[167, 232], [48, 103], [1, 60], [93, 147], [25, 88], [2, 61], [26, 74], [19, 76], [158, 218], [0, 55], [92, 135], [0, 57], [9, 48], [60, 112], [20, 63], [38, 105]]; loss = 0.013309 low_pass_filter = 0.300
+Epoch 0: | | 25319/? [4:26:19<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 25320; scene = ['966efe3a05c222e3', '50727c2fc099f9b4', '2c1ea4ebc9475e24', '8d53612ee7f88bc1', '75cbf5f3c4e202b5', '4b5e8159d8989d91', 'ad459619c3a9a247', 'ea721fd4e3e0be8b', 'b1e4b35cbe3f6094', 'c43f6cb71bd73cdc', 'c6d16d8171fd7cd9', 'c7aa7a7671b8b200', 'd1a233764dfafcf4', '7f4353922e24e719', 'c25c954d46c315f2', '574417986f69166c']; context = [[30, 68], [29, 96], [37, 96], [2, 66], [16, 69], [18, 79], [35, 98], [2, 45], [77, 117], [185, 241], [65, 118], [29, 88], [2, 62], [33, 96], [41, 108], [215, 257]]; loss = 0.009984 low_pass_filter = 0.300
+Epoch 0: | | 25329/? [4:26:38<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25330; scene = ['b0297962c0089ed6', 'fcee35b9d73232c0', 'e3badc148ab39dab', '47c3b50322e55489', 'f25b83126f93a7bc', 'b4fefac33cb2a6fc', '494c8291355b23f6', 'e5bfaf251bfc0fdd', '5308fcbbd3d32d10', 'c52b2004b86d0129', 'f0f162a8d6619fae', 'b43b9870fd778691', 'f1b09696ccbe7ed0', 'ab1ba9f15e793ef9', 'a68e5234178a994f', '67b791a20f8f50e6']; context = [[84, 131], [72, 122], [149, 191], [3, 46], [165, 220], [121, 176], [34, 84], [3, 68], [7, 62], [66, 124], [69, 128], [5, 71], [205, 271], [109, 163], [5, 59], [22, 78]]; loss = 0.011560 low_pass_filter = 0.300
+Epoch 0: | | 25339/? [4:26:57<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 25340; scene = ['5706ec8a29ac1540', 'eccc846dc587a4fe', '0b7f965ccd404bef', '7249540ddec693f0', 'cdf3b28814b65c1f', '3a3ba34619ff6f56', 'c1bec88535f521d5', 'e98a769801fc68ae', '6eb03980a476da14', '79d73aecb3589720', '2532d213114b0ed8', '34aa700b2c35219b', 'd772183ca03ffcb4', '0f3c41decac6e826', '83f927b94f04feca', '304796375251c562']; context = [[0, 49], [1, 56], [78, 122], [26, 81], [103, 169], [2, 65], [1, 69], [13, 52], [9, 53], [15, 63], [123, 173], [7, 60], [56, 122], [38, 79], [74, 112], [19, 58]]; loss = 0.010091 low_pass_filter = 0.300
+Epoch 0: | | 25349/? [4:27:18<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 25350; scene = ['507dda4c1b722c23', '3e1feff79d244282', '5f0d7d76e4b7fcc9', 'bc7cd2216dc16470', 'c25ab122990f262b', '604fce37011c3594', '11dc92ba5c0e1ac3', 'd2443f80e34394ff', '625ef197fa165c4a', '96bab6e15eb77d4e', 'bb0c96ae5026135d', '9f947caefbff7bf1', 'ff70172dd4ad43ec', '9af18a1c4c45a179', '72edfad4ab7268f2', 'a62bd02a1223b0e5']; context = [[70, 119], [55, 121], [3, 70], [13, 62], [42, 95], [4, 62], [68, 110], [0, 45], [91, 149], [34, 100], [28, 78], [1, 61], [46, 93], [91, 150], [158, 207], [80, 123]]; loss = 0.009719 low_pass_filter = 0.300
+Epoch 0: | | 25359/? [4:27:35<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25360; scene = ['3397c19634a51370', '2b4606d25fb7a6d4', '526bd972a8927785', '8244df16c1d41828', 'e100eb211d35682f', 'b16275ed32b6dac7', '7bb2c23612182a9d', '5b6de14baf07db34', 'b620104d7854f90c', '6c57529d23472eaa', '1f363f252ab03f7f', '2b5cc7b68737821f', 'ccfe340d043d8e01', '083d8700afad2b76', 'afc8e955b8c9517a', 'a1d655a4e5b6c1dd']; context = [[4, 63], [93, 142], [8, 62], [22, 69], [8, 55], [32, 80], [141, 202], [102, 155], [25, 69], [225, 269], [3, 43], [4, 67], [48, 110], [14, 72], [57, 110], [17, 67]]; loss = 0.009048 low_pass_filter = 0.300
+Epoch 0: | | 25369/? [4:27:54<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 25370; scene = ['efdf5de615e94ae0', '77c003fdb097bd57', '2e62cfde60be91b2', 'a68a1811510d9752', '4a4cf92146dbf416', '4a799d9c15a25e4f', '0af825db9b9ad51b', 'bb355d47dc6297ab', '1e577c2db0f77f6a', '3f96f1eace6d5d75', 'c90a1b6872dec9f3', '38603d74dae54d1c', 'ce418ca65922b5bc', '509f8d933a7dbc98', '0805f792d0b10be9', '316afc5161bb6b7b']; context = [[37, 92], [39, 92], [15, 53], [0, 49], [16, 66], [5, 58], [2, 64], [13, 73], [4, 54], [7, 46], [26, 66], [100, 144], [15, 55], [28, 84], [50, 99], [169, 225]]; loss = 0.010386 low_pass_filter = 0.300
+Epoch 0: | | 25379/? [4:28:11<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25380; scene = ['a1fc11e482332be9', 'f477d21e9a8df662', '63defb4f4156976c', 'b6769d0c4be27610', '25981436106d621d', 'a7f60ce61f15c284', 'e9c5aa0b62318e18', 'c211eafa20d6c2fe', '78f2bb288dfb07e5', 'dad96ef78afa5f7b', '225a3dbc1dc4f7d4', '0ca1a94df7987762', '28880239a1b0a38a', 'd6fe2b5e5c936c9f', '577bae9426456dc5', '191836b21424305c']; context = [[15, 74], [30, 98], [119, 180], [2, 44], [62, 101], [11, 57], [14, 75], [26, 84], [23, 91], [83, 140], [69, 131], [84, 137], [20, 67], [25, 66], [157, 221], [2, 61]]; loss = 0.011706 low_pass_filter = 0.300
+Epoch 0: | | 25389/? [4:28:30<00:00,  1.58it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 25390; scene = ['6b95cb189005c838', '03e1195eb5892975', 'a578a7eefb3185e2', '9bacab93f8408fa9', 'a1e4e09033c1fe21', 'c686bf8e528d9860', 'fa1ddac84aafd9b7', 'd76656b17ab785d9', '57760b17957e51bc', 'dd451be539f8e766', 'bbc6cab96f65f530', 'd2b7eb7053317a54', '3398946074525d57', '955c78878088bddb', '30aa490b63d46724', '8c61e3046e40bbc4']; context = [[68, 107], [2, 47], [5, 43], [190, 251], [5, 72], [4, 43], [34, 76], [36, 98], [9, 53], [71, 135], [6, 59], [17, 65], [34, 79], [146, 186], [5, 51], [22, 79]]; loss = 0.010260 low_pass_filter = 0.300
+Epoch 0: | | 25399/? [4:28:50<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 25400; scene = ['ca3ac3916c953d96', '9a6346447cfb89fe', '2c724de77e54918c', 'e7071c9b8fa316b5', 'ffa4dc6e57c3eca9', '972cc2a151ed4d35', 'e91be8e4dc0677ec', 'd2f26d374cc9fc43', '2212340b10c882aa', '727926e871e31d5d', '7d2f9ee3c5ce33ed', '787087197658242b', '02314047509da14e', '4683f860709f3393', 'c2e52b2ebe3e7c58', '95d2c6fca1508481']; context = [[203, 271], [24, 87], [138, 200], [159, 199], [52, 109], [6, 49], [86, 124], [6, 52], [29, 81], [4, 71], [1, 41], [30, 93], [1, 41], [3, 45], [1, 46], [76, 125]]; loss = 0.010490 low_pass_filter = 0.300
+Epoch 0: | | 25409/? [4:29:09<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 25410; scene = ['f8b0d1e280daed5d', '42e11bb83f385317', 'f52ea4df10c6472b', 'f13dcb3a9ac8a857', '67353f28c5452f17', 'c7be7b75f1571013', 'c9c985820d5ccef9', '1915fe94c9a3ffe3', '948978fda6851a90', '0765f921b5446d8e', '1e31b7611058ffc1', 'd0742930092e8f5e', 'b42ea7355de20abd', '0ec74c80b0542c7d', 'ee16ad65a39902d1', 'bf02e2f3f0047779']; context = [[25, 78], [111, 154], [1, 42], [9, 55], [32, 82], [15, 75], [128, 175], [60, 109], [103, 146], [12, 73], [3, 64], [173, 233], [132, 171], [35, 101], [79, 135], [21, 76]]; loss = 0.009948 low_pass_filter = 0.300
+Epoch 0: | | 25419/? [4:29:27<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 25420; scene = ['fd5fe10030ea799f', 'a127a55b1800e045', '7bdea6db35948489', '85d656780a8a6044', 'f0f9efd1fcd65311', 'c7fdc5b33f01a570', '85bdfdb7185f9443', '8b51e270df0c9284', 'd94eba604f88e9c3', 'd7adc331c74563b7', '75b018db77600c92', '993f5f375f822648', '0728256e1cc24f2c', 'e261bbfcfeab2ce6', '3e228d07ae6f8c54', 'cc64c0f4b6918914']; context = [[2, 56], [134, 192], [49, 116], [1, 45], [1, 53], [58, 109], [30, 76], [1, 68], [5, 49], [88, 141], [0, 67], [13, 74], [46, 88], [1, 63], [0, 38], [68, 117]]; loss = 0.012078 low_pass_filter = 0.300
+Epoch 0: | | 25429/? [4:29:46<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistic_step=27.20, train/active_min_children_step=4.0train step 25430; scene = ['48c2b63b452555af', 'aecfc6c8ebc6c15e', '80b044471fd710b5', 'ccb0540f2d49483c', '68303c5bb3b62706', '6de43fea1f9cef11', 'b2c65f94460ad653', '8f243590d88e28db', '34bd9723166c9978', '8839e65c6f6bb394', '801586ab8ddd3bf8', '47039a17b7256772', '3f0b9fd1e32d9ce3', '1ae35c468d598029', '07fdb102ee3677f5', 'ed87baa6df1198b9']; context = [[25, 94], [16, 80], [23, 68], [127, 169], [71, 125], [94, 162], [20, 67], [29, 91], [28, 93], [40, 100], [41, 105], [18, 79], [82, 144], [75, 117], [18, 64], [27, 69]]; loss = 0.009316 low_pass_filter = 0.300
+Epoch 0: | | 25439/? [4:30:04<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistic_step=24.80, train/active_min_children_step=4.0train step 25440; scene = ['8404eae21432063c', '7b18ad4131a3c318', '5a7cc6854438d617', 'c4ae95c34e204d53', '7ad5e90fc8434219', 'c1a04c25ccb94aee', '6897a323d67edc41', 'a27aaba0c4a2b558', '3a5fdf1030d55af7', '91d39686ae23230e', '0eb3fd35dea6dea0', '4cc30df9ffe2c183', '501c7fced48eba59', 'a39df60612b60375', '9db124880f8d78ac', '9c9b04a677060b5f']; context = [[13, 52], [59, 126], [153, 216], [0, 40], [128, 188], [109, 178], [13, 78], [8, 73], [9, 65], [23, 78], [20, 61], [17, 58], [23, 67], [37, 82], [117, 174], [67, 135]]; loss = 0.009192 low_pass_filter = 0.300
+Epoch 0: | | 25449/? [4:30:25<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistic_step=24.70, train/active_min_children_step=4.0train step 25450; scene = ['fe55cd1565d9cb79', '046d75590f2a2769', 'afb74b4aa8e93a22', 'b733def1f2d6f475', '3e228d07ae6f8c54', '882182e89dd66eed', '3c2c6247ba2354fc', '993f5f375f822648', 'cc64c0f4b6918914', '8b51e270df0c9284', '486b548dfacda9fa', 'd7adc331c74563b7', '75b018db77600c92', '0728256e1cc24f2c', 'd94eba604f88e9c3', '215eb0b87decb587']; context = [[31, 70], [74, 138], [0, 38], [97, 136], [0, 38], [14, 57], [4, 68], [25, 81], [22, 81], [23, 61], [4, 68], [53, 93], [18, 66], [16, 64], [1, 46], [2, 67]]; loss = 0.008665 low_pass_filter = 0.300
+Epoch 0: | | 25459/? [4:30:46<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 25460; scene = ['af2bf37f747ea039', 'd417f1cac4a30c14', 'e4965e111cb66be0', 'd6211fae193ad931', '815fc179de449468', 'd00a6449d44d9822', '2946089a31aa5810', 'f2a78c5c272a3009', 'ef29879c5829b95a', 'effbcd5b21e5b087', '75b546b0482c602d', '2721d4e119602b3d', '7b2f71462829b280', 'd33a9339f83571d1', '417c9606a7d23e1e', 'eb2b6994b8429b1c']; context = [[38, 78], [74, 131], [3, 70], [135, 193], [14, 57], [9, 48], [80, 123], [8, 77], [6, 57], [12, 51], [52, 101], [21, 81], [234, 272], [16, 79], [4, 71], [4, 60]]; loss = 0.011585 low_pass_filter = 0.300
+Epoch 0: | | 25469/? [4:31:04<00:00,  1.57it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 25470; scene = ['373ba08bcfc84006', 'ba7bebabc6b4f278', 'b123704b82a98e73', '0f26970967ddf02c', '3c523af7b2936cfb', '2be6123f9c853872', 'cbe0c9fc3dbd7684', 'ea5ec2bf7f186ed5', 'fe41521588b2ba41', '6c0bdb5e8e11f0de', 'aa2b3732c2717859', '086d3516db9b7109', '80a45916e1f5ae01', '8c7383b85f475330', 'b9c46af1909b96a1', 'c2e9139a0b8292bf']; context = [[86, 133], [2, 51], [73, 122], [11, 55], [41, 94], [29, 81], [51, 95], [6, 61], [47, 99], [88, 133], [9, 69], [0, 41], [10, 72], [110, 164], [4, 56], [11, 72]]; loss = 0.010946 low_pass_filter = 0.300
+Epoch 0: | | 25479/? [4:31:22<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25480; scene = ['8b2c69b736f247cd', '073b1b758d5b58a5', 'b16d01b150c3363e', '7ec761021eb0028b', '65c4fbae3daf2d8e', '16a7d92bd74000a1', 'ac4bb258d49d0f98', 'e772de3085cc5ddd', 'ed620e1c813d47b6', 'fcb56cad6e48c882', '17b59c28edfde65a', '794bdbdbe73ddbc1', '24c48d5c3c1ad376', '5292e7c51d6b4aa5', '38a2086e32a5ffca', '33257013360b25e6']; context = [[18, 72], [7, 47], [15, 73], [15, 56], [58, 127], [48, 98], [1, 53], [14, 65], [4, 46], [16, 75], [21, 61], [0, 67], [199, 238], [19, 79], [94, 160], [90, 135]]; loss = 0.011019 low_pass_filter = 0.300
+Epoch 0: | | 25489/? [4:31:42<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 25490; scene = ['d23c79a0286f926a', 'd5b78c47a83ea85e', '7f9480301fa3e38b', 'a45c32806ab77c9e', '4348fa85c0757b62', '73b5643967208518', '8e5d094c4fcd3c3a', 'ddc432d005784196', '0c624be452931981', '3b8e927ed2e703cd', '80fd51689742e978', '23929cb345635451', '0727389bfa97166f', '75371003a36624c8', '94c931fd2c558de5', '42158adb6f145f4f']; context = [[91, 136], [57, 95], [61, 103], [3, 46], [61, 116], [1, 49], [63, 129], [23, 88], [2, 50], [0, 61], [112, 174], [5, 48], [5, 66], [56, 123], [82, 122], [4, 63]]; loss = 0.014142 low_pass_filter = 0.300
+Epoch 0: | | 25499/? [4:32:02<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 25500; scene = ['52e630efc8cd0959', '5eef7d76653d3c85', '6b599a4d8c7d7275', 'c15e9f65e844881b', 'bb39c536bac5c2b8', '63b4b7f92377b7d1', '4fed2921695a07a0', '1aebe80dd6346b46', '08ff3470b32680d7', 'ff4baf1fa516e521', 'fee419913751e69c', '6212b6c618036592', '525228f8d23ba3c5', '4b2f7bb82caea25a', '6e66c457e475a239', '7db6add2937e3476']; context = [[43, 95], [83, 133], [182, 232], [5, 54], [8, 55], [9, 71], [0, 55], [106, 171], [2, 46], [140, 196], [141, 204], [90, 146], [121, 168], [0, 60], [0, 55], [6, 67]]; loss = 0.010018 low_pass_filter = 0.300
+Epoch 0: | | 25509/? [4:32:20<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistic_step=27.00, train/active_min_children_step=4.0train step 25510; scene = ['60af97423a0eaf57', 'd29cd0ffcbc3dfaf', '6031294804b8979d', '04ad9f32c83f28b3', '56d1fbbe9848c802', '42b03fbeeaf5dea9', 'c6683515f5c374fc', 'ada0aa81b633c33c', 'd51cf8e527ea5cad', 'a6463fb1c9e10282', '5c81d3506aa61647', '264626db21145229', 'b913fc397ffe5b87', '3541705e5a095fad', '74ed41fdbece3110', 'b95a2ce1d191fe04']; context = [[33, 97], [25, 86], [130, 197], [55, 101], [20, 86], [0, 69], [8, 46], [1, 61], [128, 179], [0, 39], [31, 94], [110, 166], [25, 77], [16, 59], [77, 145], [33, 74]]; loss = 0.010001 low_pass_filter = 0.300
+Epoch 0: | | 25519/? [4:32:38<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 25520; scene = ['cb168186fdab3271', '9fde0d7ec4b06f6c', '9c269fce78f0dd27', 'bcec4cead9a8da81', '1baf2b5812122e3e', '27b941a8289558a3', 'fcbd35c9fec04992', '18a6c0778918ffbf', 'd101ed7d57d47b7e', '9974cb0399a06dc0', '3222c6f65e953650', '16333d9914d5937b', '7f58de9f7313a9eb', 'aa9de0129abc32aa', '99024f17cee81656', 'c79e9ac3b6ae802a']; context = [[217, 277], [177, 224], [3, 66], [53, 96], [25, 67], [0, 40], [10, 52], [1, 52], [8, 58], [0, 56], [97, 137], [46, 92], [27, 80], [42, 82], [13, 51], [32, 70]]; loss = 0.009725 low_pass_filter = 0.300
+Epoch 0: | | 25529/? [4:32:58<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25530; scene = ['458e67c3c4dfbf24', 'e1da66dcfb584564', '6803b3d46e5a2c7f', '5a2447dbfc1bdfac', 'db5e3b998bc94027', 'd005a2c5e04236b7', '9bd7044e7cbf8e60', 'b75f3820760d835c', 'ea048e21097e9eae', '3977e67f033992e8', '37ca658a68ab4210', '2b0577494f564adf', '26ea8cc2791328c2', 'ac64989dd2b2a22a', '21c1d6f293998c88', '74eb411688ba5e15']; context = [[1, 51], [66, 110], [4, 64], [106, 162], [5, 56], [28, 68], [8, 74], [22, 74], [61, 119], [4, 50], [22, 73], [53, 99], [144, 198], [35, 97], [14, 72], [8, 70]]; loss = 0.008043 low_pass_filter = 0.300
+Epoch 0: | | 25539/? [4:33:18<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 25540; scene = ['c84ce7b291806055', '9dce78c1dcd85327', '2a816c674416d597', '11f3ee09a95c385b', '1a9b4d12c5b517a5', 'f41c119ea504e8a8', 'f15bac67b7a07933', '87e78ff298b1cd97', '95390743755ea23c', 'c2311a649b12cea9', '4e145d26377a414b', 'b33803d3409e57d9', '24aa7d35a296bf5b', '00c7f4d292a58bd3', '29813418d3210005', '7a93a1f75a9636ca']; context = [[49, 91], [63, 108], [171, 229], [18, 77], [15, 57], [0, 66], [6, 63], [2, 43], [75, 117], [23, 72], [35, 80], [0, 47], [62, 103], [17, 79], [15, 64], [8, 57]]; loss = 0.010960 low_pass_filter = 0.300
+Epoch 0: | | 25549/? [4:33:36<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 25550; scene = ['6b643ea7fd9a47f2', '9f710f017b023a0f', '7523be2bd95f683b', '01fd1eb6cc528bf4', 'b19972ab772a18f4', 'f30c1287b499b59f', '0653c0585c65ef9b', '4de68fe45f2cf8da', 'afcf166d35c344b9', '277808ef17892255', '7b1c88b4328c29f8', '1adc869076b62522', '40705672cf881305', 'e48218dcf5a6fcb4', 'b409b939c42031e5', '73c2ef569a3b523a']; context = [[43, 83], [201, 253], [2, 69], [16, 75], [9, 78], [122, 185], [32, 96], [109, 164], [9, 54], [66, 112], [1, 45], [128, 175], [29, 86], [125, 193], [27, 94], [9, 76]]; loss = 0.011347 low_pass_filter = 0.300
+Epoch 0: | | 25559/? [4:33:53<00:00,  1.56it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 25560; scene = ['b5be3cfa849d6bc9', 'fb3a12e72b856bd0', 'cc66dbb6ad5276a3', '4203a06d618eeb97', 'ce0a99ce7be19bc2', '594699f10a03e335', '2023fadef11c9efe', 'a79512c29cdcc8d8', '2c97c067544af4e8', '8b270446ed2d50fa', '89f9d9c77b1db0a5', 'affaaa5bb0d68796', '509a7f772b62dbbd', '90f753de7db1aedc', 'abeb580aecd06433', '8f777c5232c24538']; context = [[55, 107], [37, 106], [25, 82], [76, 118], [156, 217], [37, 85], [1, 69], [14, 76], [6, 44], [47, 95], [9, 57], [14, 68], [217, 268], [145, 196], [61, 104], [3, 43]]; loss = 0.010729 low_pass_filter = 0.300
+Epoch 0: | | 25569/? [4:34:12<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 25570; scene = ['b920fba1921824ef', '15c541d233b99f32', '1d155fc2dbf621c1', '0e52986b67e75cef', 'be811134779e7c95', '1ddfb57e650ff7b8', '5f5676c298828c45', 'e0b4d5d763af7191', '66e50acd846b2cd1', '6f06edf5869507d5', 'eb18adfdb3125bed', '692c8f1a1ba8d95a', '7d4f88d897aac9e1', 'b5228b26c99db999', '629506e3f6b8d7ab', 'fa14af07fc50d2ce']; context = [[15, 57], [104, 172], [18, 71], [8, 56], [1, 67], [30, 71], [9, 68], [3, 62], [212, 264], [7, 71], [1, 63], [36, 101], [1, 65], [24, 78], [39, 82], [69, 134]]; loss = 0.010066 low_pass_filter = 0.300
+Epoch 0: | | 25579/? [4:34:30<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25580; scene = ['1932b5da26849498', 'c56e0d67e4d6c3e1', '0294b1cb70478a95', '156af9c6ddbe679f', '4e234250febdd495', 'cd4b6bddafd166e5', 'f493ee914a673ff5', '840e57a017357225', 'dcb7551919456931', '69293f51157ba0fb', 'd0e60247bcdb97b2', 'd2eed88e19cfd9ca', '68a409152fc28a55', '2cf0d10ee85e7610', '53dd78c4ec2ce869', '85abdea85f9965c7']; context = [[97, 156], [6, 58], [43, 86], [1, 47], [8, 62], [31, 77], [5, 54], [37, 83], [10, 64], [1, 41], [4, 59], [15, 55], [206, 244], [0, 62], [4, 73], [2, 59]]; loss = 0.013010 low_pass_filter = 0.300
+Epoch 0: | | 25589/? [4:34:50<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 25590; scene = ['7070aa1236baa8f7', '6dedb218c00a084c', '2e72193bbf197bd5', '2653a2f787580744', '3a61fb6b98ef4d90', '80e81e341b65a870', '9819b646b98a16cf', '23239944ae5320b2', '67bfb1615102109e', '2a57757b60e76cb2', 'f2fae71744cd5443', '3899768cb1c16293', '810f74775db97784', '1a19d8dc9c410869', '70d4b8db4ed39f14', '6b8879627b5e72b9']; context = [[56, 117], [20, 89], [99, 165], [17, 79], [129, 175], [103, 148], [75, 139], [103, 151], [12, 78], [4, 49], [124, 175], [25, 66], [5, 45], [9, 68], [0, 51], [16, 68]]; loss = 0.010678 low_pass_filter = 0.300
+Epoch 0: | | 25599/? [4:35:10<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 25600; scene = ['d4dad31efbf0751e', '959c12d7674abe3e', '56470170ac493354', '1aa060fe73f3de33', '0ef454385d221501', 'c738caa1e61fe2bd', '592e4767cc7518e3', '3e26a7ae81ed795d', 'fb80a9f037b6ea0e', '3f7521b807647a2c', '8383107415c03c05', 'cac2787ed1114d1d', 'f7549c0f70cba5a6', '2942cefcb7358cce', '482b604002f1a227', 'b8e76ea0476fe482']; context = [[30, 84], [0, 39], [3, 41], [1, 44], [1, 40], [44, 96], [26, 64], [39, 86], [9, 73], [42, 89], [57, 100], [10, 57], [2, 57], [34, 79], [76, 133], [3, 65]]; loss = 0.008437 low_pass_filter = 0.300
+Epoch 0: | | 25609/? [4:35:28<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25610; scene = ['ceeff0a15a1a8701', '5ff48e1dd62ec394', '858bacf0998dd9b6', '7d05797cba262019', '186cf25279708ba3', 'cee9699320022c5d', 'a900d9929950a86b', '150c91200e8c6efc', 'c8a486b083a1b41f', '184871528de94493', '61f631d8fa601e6b', 'bf4e983248554c10', 'd0252dde8512de70', '8895de712e5fc440', 'ddfa73b45dfa987d', 'c947a2448e98cc2b']; context = [[14, 70], [2, 68], [41, 98], [40, 78], [112, 153], [48, 110], [19, 80], [168, 210], [3, 60], [6, 75], [157, 211], [3, 63], [126, 174], [140, 209], [102, 166], [30, 75]]; loss = 0.010217 low_pass_filter = 0.300
+Epoch 0: | | 25619/? [4:35:47<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25620; scene = ['763fbba111a520fc', '7c1c07c77d39e0f9', '77659febf946d8c0', 'f3d21d375f937dce', 'de1b480f7479ad7a', 'd49b4fa7b43fc10c', '0f928aa808268e96', 'c854b655b44a62c2', '52c81276984654b7', 'de02237229575e23', '64a094bdca3a99b5', 'e7431d87279f2f40', 'bcde14dd6d048776', '239d12ce68670c55', 'a93b9bf80d472ef5', '3b471fe1f614fbfd']; context = [[1, 56], [5, 57], [92, 147], [2, 50], [82, 128], [62, 111], [45, 88], [1, 39], [17, 56], [17, 71], [10, 58], [74, 122], [1, 70], [18, 68], [2, 52], [69, 126]]; loss = 0.008687 low_pass_filter = 0.300
+Epoch 0: | | 25629/? [4:36:06<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 25630; scene = ['e24323b82d0671c2', 'd2ad156576e078cc', 'e4fc6fa4bbd6efa1', '72d7ff49071fa801', '73542beb07728c82', '5994966dd0897ead', 'c05fd148d2da6d26', 'aa4938d7f2fd0a1d', '1fabb902ef63f533', '8b01b8a2eea580ff', '07ac07edf53ae9c8', 'b6f947d367a27e14', '250bdb5bd7ee5aef', 'ae267c0eaad7d286', '7ce0211de76d1a1a', '5f5bb12d476cdb64']; context = [[1, 70], [0, 50], [61, 124], [25, 85], [29, 67], [50, 92], [0, 52], [97, 146], [13, 60], [71, 138], [7, 60], [1, 63], [2, 69], [128, 187], [17, 80], [81, 128]]; loss = 0.008837 low_pass_filter = 0.300
+Epoch 0: | | 25639/? [4:36:25<00:00,  1.55it/s, v_num=bz2c, train/psnr_probabilistic_step=27.60, train/active_min_children_step=4.0train step 25640; scene = ['068d85c0b47f4628', 'c21970a30701dfd5', 'd9069c7fde700fae', 'd1543ce8abd3294c', '9e591049019c2996', '038723be25e892b7', '668193bde2b21db4', 'a695ce29a01dc0b8', '61ba0d41e39ca681', 'c1da5a122e3a6486', 'd10e440ff0a99a23', '506c7067b8d54db9', '4fe12b24324c7c47', '62e9e5716c3ac2f6', '7d1d3e8e7a8d1910', 'e79f7d5144234b88']; context = [[41, 85], [29, 85], [78, 127], [50, 109], [21, 66], [19, 76], [2, 63], [7, 62], [39, 103], [7, 52], [172, 212], [8, 55], [217, 260], [6, 51], [3, 56], [59, 103]]; loss = 0.009526 low_pass_filter = 0.300
+Epoch 0: | | 25649/? [4:36:45<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 25650; scene = ['f1bb81b38686646d', '9db5d6f52db8ebca', '7bc72ab83e1ddcce', '884815c3ec6119e5', '77b9d40d5d9278bd', 'b1da72d206686bec', '21e2e9ad21492fc4', '5c2bcdae45b3b7c2', 'd67e551cfc3f6a4a', 'f6c0fd481ddb84f4', 'cb39619d392401f0', '16b14534c3561c6a', 'b0056fe2ed291425', '03a8cb9065084812', 'b210d777c3b1b8db', '97ce213c42aafa55']; context = [[35, 92], [29, 95], [7, 73], [7, 45], [166, 207], [37, 106], [30, 87], [6, 68], [0, 39], [3, 41], [47, 87], [24, 64], [3, 41], [3, 44], [26, 73], [18, 65]]; loss = 0.010000 low_pass_filter = 0.300
+Epoch 0: | | 25659/? [4:37:03<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 25660; scene = ['67693f88a026e955', '7b78a2113b0b67e0', '54c0968cdfab4471', '9a902960aaa032fd', 'fa42604243a1cf5c', '791c6386a4340932', '6d727b8f5862a634', '7afefd271f2ff47d', 'a637b8400669672c', '1319170a73cb514d', 'bedba1846d7b3f88', 'fe356da855cd3c76', 'c88763918c3b5bdc', '7245e11c64786906', '9807f8f6ea448e58', '6196f4fa2700b0af']; context = [[57, 124], [98, 139], [2, 51], [164, 222], [118, 174], [1, 48], [105, 171], [117, 169], [2, 62], [20, 87], [4, 60], [18, 67], [61, 102], [76, 140], [0, 62], [12, 58]]; loss = 0.012752 low_pass_filter = 0.300
+Epoch 0: | | 25669/? [4:37:22<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25670; scene = ['8d5adf5bb663ed59', '050c893adf8f2dc3', '1775c4b83b3abfe8', 'e92c4e41e6dd1d3f', '182c45ad9d9feada', '6238ed8f3db76cb8', '174258c0129fc8b5', '1b51ee8926154783', 'e72a9a109b2c3859', 'c985e6462e64cf36', '31ff05dbf772323c', 'a5eca21da9f61d53', 'db30a004a7ebb212', '2e072a3b7bb0397e', 'bacbae2314c541bd', '8fa8b7cdf510feeb']; context = [[20, 60], [44, 94], [7, 63], [27, 76], [64, 111], [35, 82], [36, 95], [6, 46], [188, 243], [9, 76], [10, 50], [6, 68], [2, 66], [135, 202], [9, 77], [0, 45]]; loss = 0.010588 low_pass_filter = 0.300
+Epoch 0: | | 25679/? [4:37:42<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 25680; scene = ['92c6b068eef863c1', '5bece91c5864e528', 'dd709a76c4ade039', 'c4a00d6ff8529867', '750888ee3338e002', 'd5272681859ac87d', 'd86fbb8ba2bcee27', 'a26363624d7d2ebd', 'd312a48eec9207af', '95e2ddd4cdde4c5f', '44832125f07d776b', '3cfb633b947bdfe3', '8860d3251307030c', 'ce8aee19127c3952', '1d4265985e7667cc', 'bd295705900345f7']; context = [[17, 56], [66, 135], [17, 68], [12, 65], [3, 70], [32, 94], [4, 61], [24, 79], [43, 105], [29, 85], [85, 124], [87, 151], [10, 67], [17, 69], [13, 61], [26, 81]]; loss = 0.013346 low_pass_filter = 0.300
+Epoch 0: | | 25689/? [4:38:03<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 25690; scene = ['ee5b68d3466873cd', '1b28d4488bbd73a5', '2e2cce8b80bc8018', 'ca9f9eb29db75829', '453edcb688f085fb', 'f625bc1d8fe98cc3', '237ba5495c4df4e5', '73610c89bdc12aa8', '9f1c1c2f4e180150', 'f6a115c9b90dadd8', 'd6dabd357b310cb0', 'e801fc2e2679769c', 'e85deee4d4986cb5', 'd77aac464bf67157', 'ce4bbda27b8d6d2c', '54669584a6cf7993']; context = [[83, 136], [5, 65], [10, 53], [74, 128], [117, 159], [46, 90], [15, 61], [76, 131], [26, 81], [55, 111], [54, 112], [203, 252], [35, 77], [9, 64], [20, 63], [6, 62]]; loss = 0.010997 low_pass_filter = 0.300
+Epoch 0: | | 25699/? [4:38:22<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 25700; scene = ['5c09e40e2bd203e7', '35a97ea535944eac', '3aaccacf4e52c225', 'a548a64351982b0e', '77cf345e3fadab72', '5ce2bba6439e8b09', '6a239fe4886c5e3c', '019fdd708d7163bd', '72016c9b041f4bcf', '742eaf7317415c35', '4c94dc60ea4fc29e', 'fbed2318ae410b31', 'fc33d4814d21b0ff', '666ba10fbd4f9234', 'fa743fadeb3db677', '8093a591925afb51']; context = [[5, 70], [204, 263], [22, 74], [14, 73], [4, 66], [39, 102], [58, 111], [86, 155], [62, 101], [2, 64], [10, 65], [45, 94], [16, 72], [13, 72], [32, 92], [0, 60]]; loss = 0.010949 low_pass_filter = 0.300
+Epoch 0: | | 25709/? [4:38:40<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25710; scene = ['744fbf6d7da41abe', 'da2584e1fbd30dea', 'ffc4643950346872', 'c28f10a578096fe7', '6d638e347e889c63', 'bc8d6f045241fec7', 'cb6f68fd2e9755aa', '37ff350eba2c5f64', '66a09cc7f5e4dbc8', '379f7d095dd31bbe', 'd705175cee467a2f', '1f2c53501ca20a48', '0476466b02a84b3a', '10810c921b4b3f84', 'c86ccd2448e8735d', '008d5bc870d12c22']; context = [[148, 205], [71, 110], [70, 121], [15, 56], [100, 150], [44, 96], [23, 72], [96, 138], [21, 78], [104, 142], [91, 152], [35, 75], [90, 133], [20, 61], [53, 110], [114, 152]]; loss = 0.010151 low_pass_filter = 0.300
+Epoch 0: | | 25719/? [4:38:58<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_step=26.60, train/active_min_children_step=4.0train step 25720; scene = ['3d5a6102484db5cc', 'ead9aabd27eaff8a', 'fb003d082b1c3ed7', '3c9ad99cce6558da', '0d1c5e5e77dfc06b', '7f8cd1f3c9acb8f8', 'd4bd2dcc63c5ea54', 'e3e252f0494ff061', '1250e0831ff05593', 'f44a0546760ccdb6', '0362bc618a029222', 'c2b2d238f9214068', 'ed35350baa1d1fb2', '7637453da2bff547', '623e9b4a6f37f93c', '83496ae8367a6c96']; context = [[54, 97], [19, 67], [15, 72], [29, 73], [161, 202], [12, 54], [1, 54], [16, 79], [118, 156], [1, 68], [8, 52], [31, 69], [4, 53], [86, 135], [38, 79], [19, 88]]; loss = 0.013151 low_pass_filter = 0.300
+Epoch 0: | | 25729/? [4:39:18<00:00,  1.54it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 25730; scene = ['6726f4b1be3b02e0', 'd44eb5d03836bfa8', '254bab680a316f9b', '1dd9a0ed267383c0', '6be724a70229bc17', '81ee97f3eb44b898', '09c7171529d82a2a', '2b08d88dc7851fcd', '1545821f510802e7', 'e41dad3f906ed87b', '1f3bcac2fb6e1c84', '3582b54a8e7095ed', '9789c9bca500f60d', '57fe7c02c5ec9bbb', '1f2c37aec9ad5c43', '16df3af9c5647285']; context = [[0, 44], [4, 46], [17, 69], [5, 43], [42, 106], [8, 60], [14, 53], [71, 113], [11, 50], [13, 56], [106, 145], [17, 73], [16, 58], [169, 221], [159, 214], [18, 64]]; loss = 0.009025 low_pass_filter = 0.300
+Epoch 0: | | 25739/? [4:39:38<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0train step 25740; scene = ['fbf477cf0b0e6624', '07f6c4a1f6151dca', 'aebfe0f3df7f20ea', '7f1a1335ce6a370a', '8317a2305e9a91dd', '0deec8ba153b3a98', '6452e7112d532c51', 'ffa4fc8c1589138a', '5b19f041d0e2b692', '9717981357538498', 'd1a1aeca91e29c76', '47ea7b75465317a2', 'e4823869577d56d8', 'c8189209a5831b8d', 'c16ca0438aa79d22', '74e7cf0c3f2ff8f2']; context = [[16, 71], [1, 41], [76, 127], [147, 196], [20, 81], [80, 135], [101, 167], [23, 84], [163, 216], [36, 95], [11, 57], [5, 67], [39, 105], [1, 44], [3, 65], [27, 72]]; loss = 0.008781 low_pass_filter = 0.300
+Epoch 0: | | 25749/? [4:39:56<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 25750; scene = ['bae2ba40b2703313', '5a56c4b9687b88c9', '465249a4ce4bef29', 'a3e1454634601a50', '01789229a85a4516', '965ec1449069644b', 'c5223ef0da739843', '446f07aceef2d476', 'dcfe017a032faf61', '17e623adb5750061', 'ec1789428dbe59d6', '715c63bb45248252', '2411b9a5fa5fc39f', 'fa1dfca0f0dd4bb1', 'a9f2052b7d3608a7', 'ae25c3b3bd733c0c']; context = [[124, 178], [5, 57], [20, 82], [4, 67], [0, 45], [73, 142], [23, 76], [53, 109], [34, 73], [1, 68], [35, 87], [8, 71], [140, 208], [15, 72], [224, 266], [17, 82]]; loss = 0.009849 low_pass_filter = 0.300
+Epoch 0: | | 25759/? [4:40:15<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25760; scene = ['2ddb67832c160567', '91bd4d5858c4f7da', '173c3c8521ffe556', '0471a51233a96adf', '83d103672889a1b3', '2b634ad643be3bb4', 'f00b015a283a4923', 'b45aaf0961467ac7', 'f7f0e9c9bb11a8f8', '28dfdf09d7e7f141', '095b327d0991f54e', '789e3dd7a059f5d3', '42f9555cc5b7f279', '5234deee5bf92f77', 'f2d5fa6533aa8ff8', 'a28a3e656cfcfeb7']; context = [[81, 147], [0, 42], [38, 86], [5, 47], [195, 245], [136, 197], [77, 141], [124, 177], [12, 80], [25, 78], [58, 127], [32, 99], [11, 58], [231, 274], [65, 116], [19, 70]]; loss = 0.011772 low_pass_filter = 0.300
+Epoch 0: | | 25769/? [4:40:33<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 25770; scene = ['da2a7bb7a32a94df', '0ff2c8c09eb6a8f9', '572ff873f8ada192', '51408dcc2c36867a', 'b6f793dc97f8680a', '0625ac4ab070fb87', 'ed9de3b95ffec046', 'c6a25a9741194cb2', '31ad5d8a976a62a4', '316efce0bff7c388', '7f3900d49cac35a1', '5c4fb0add49cbd58', 'c52cef7d7890369e', '8aa54d54952c746c', 'ffc2f67f24e55466', 'dd8e8d5c7c7f2e8a']; context = [[194, 232], [1, 60], [33, 78], [96, 153], [13, 62], [39, 103], [29, 90], [51, 89], [16, 74], [63, 107], [26, 80], [15, 67], [60, 106], [47, 93], [71, 132], [50, 111]]; loss = 0.013347 low_pass_filter = 0.300
+Epoch 0: | | 25779/? [4:40:55<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 25780; scene = ['a5d34020cf7cacbd', '2cd72af45b4093cb', 'af3899e50afdfa9f', 'b00f502f468fa5e1', '04d49eaed769debf', 'ce267807e6f8819a', 'b6f646046b2a6c12', 'e6bfff9f049d72f5', '15c33c76f8a7238e', 'e73c3c5ae18982a9', 'bfa559b4958cc3f0', 'efcc02500ae5f63a', 'bef682a92ce892d4', '1fbd3c030aafef5a', '1eceb072c56cef6a', '1eaa109d45cc63a0']; context = [[13, 75], [74, 132], [33, 88], [12, 69], [36, 105], [1, 42], [8, 62], [69, 113], [31, 69], [1, 54], [8, 68], [51, 107], [116, 154], [6, 66], [32, 73], [28, 69]]; loss = 0.012050 low_pass_filter = 0.300
+Epoch 0: | | 25789/? [4:41:15<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 25790; scene = ['c5603a5e8498a827', '547ebf48151eef4d', '509496bad5a12f79', '2cc2af36e6bb9fed', 'f5338d00f9c021a3', '5e55a38946593552', '3fb6c568d960f072', '50771a5d94ac3e05', 'e7aa969073578104', '25767990c1e5df39', '5cb6a4466d5f4f53', 'f09b84993341b1bf', '23683c24eb019816', 'eb9a6eb40e64e0c2', '564ea16244f45dd8', '38d2ac7c43dd0eb8']; context = [[27, 85], [59, 109], [152, 216], [28, 70], [214, 257], [118, 185], [0, 54], [7, 58], [71, 127], [24, 69], [20, 64], [6, 55], [17, 63], [57, 97], [15, 58], [85, 152]]; loss = 0.008588 low_pass_filter = 0.300
+Epoch 0: | | 25799/? [4:41:33<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25800; scene = ['6f81a4ccaeb687c2', '2572d5318c4a894c', 'ad9fb9be955d5f75', '9e78a8ce89ddf0de', '40e5a3bb5f8594ea', '30f5837d45148abf', 'f590c2e368c84263', 'fb602e807115895f', 'eaf9ee5dcff79cfb', 'a481f4695f950b6c', '6e3b707bc0e641db', '0cd5fa6be5701535', 'ed07387354f104e5', '7412a1ebda95734f', '0603807853f0f013', '6e562b93f45f3703']; context = [[90, 150], [0, 51], [85, 123], [28, 92], [7, 50], [26, 67], [165, 216], [141, 195], [39, 85], [0, 59], [12, 56], [1, 62], [203, 244], [28, 69], [0, 59], [78, 137]]; loss = 0.010114 low_pass_filter = 0.300
+Epoch 0: | | 25809/? [4:41:41<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25810; scene = ['fff64f42340c9f92', '4268e3a564bff6be', 'dc147135ffd7390d', 'f646cb850ed823d0', '7950819803c38007', '481a5415dc213548', '7d7f87066fdddc0d', '526648b6db73136f', '03805e0aecc9ae58', '033a6f5499fd4763', '8b422b535466905f', '2bc08ab9bd25f36e', '60c2ea41a5e6ad12', '51821a6255cde575', 'e35efbb0c598de5c', '64e4fbce1abea49c']; context = [[5, 70], [78, 142], [18, 56], [8, 72], [81, 126], [2, 57], [6, 67], [63, 119], [36, 103], [12, 74], [55, 112], [63, 118], [87, 128], [24, 88], [32, 75], [10, 51]]; loss = 0.009751 low_pass_filter = 0.300
+Epoch 0: | | 25819/? [4:41:48<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25820; scene = ['85ca66628c3b583c', 'e3330c1feb8b3ee0', '1613fefaad02972b', '82f678db97e94615', '93b6278cf013b714', '8d073ac3acb75992', '015ca2f115af3dde', '551fb8535c0aa256', 'bcca779045d62e67', 'ab4c74b2751a2306', '504f84dcd4f6fd4c', '8c94bdd2b798e17d', '757f1088d03ebd8a', '20c0caa90d9b9e55', '419e7c09988d876e', 'a04c6af8ffb89955']; context = [[13, 52], [38, 83], [3, 61], [11, 64], [2, 62], [16, 69], [68, 119], [18, 70], [15, 60], [1, 70], [54, 93], [13, 75], [135, 177], [78, 128], [18, 77], [76, 129]]; loss = 0.009064 low_pass_filter = 0.300
+Epoch 0: | | 25829/? [4:42:04<00:00,  1.53it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 25830; scene = ['4cb3a3bc72da5752', '92d48535714e3403', 'a6ff3463269a8294', '672ceef1477a4ee1', '1d3ae192a6390463', '681de2df4fcb3ddc', 'bcaf2ffd6f7195ff', 'd951d136123e72ca', '79beea9672385e70', '9a58dacbdeb095bb', 'a8580c6b2825efcb', '42bb78b6bb2015b5', 'b3e785efcbb39bed', '007d91ee3338229d', 'c07f313faace15be', '2de65d8f9645d15e']; context = [[26, 78], [63, 109], [10, 57], [37, 85], [55, 112], [8, 61], [13, 54], [88, 133], [21, 83], [84, 152], [9, 66], [17, 66], [12, 64], [1, 66], [1, 58], [19, 67]]; loss = 0.011240 low_pass_filter = 0.300
+Epoch 0: | | 25839/? [4:42:24<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 25840; scene = ['16ad60739d062c0d', 'b6f35460c7ab5e4f', '1db541021f08c569', 'd2df2ab53964add5', '9a32a8daa43d59dc', 'aa9501b0fe74e3e2', '1b200ddb0e8760fd', '27f95438492b1f5d', '3d9d33cc3bedad51', '5d3adfd63b17163f', '03ea09bf65357e60', '054c7b44f296f89b', 'dcef19d1e21275d4', '8f30c1582145c9f3', '6df050e937ac9f8d', '6c4a195e1fa3b28a']; context = [[209, 265], [31, 78], [14, 82], [12, 58], [35, 104], [44, 108], [108, 157], [3, 55], [59, 112], [20, 65], [24, 80], [55, 99], [9, 59], [14, 54], [68, 116], [6, 74]]; loss = 0.012118 low_pass_filter = 0.300
+Epoch 0: | | 25849/? [4:42:45<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 25850; scene = ['3e0497b3be34d492', 'fbc40b507a2ef712', 'abfb3e8af35aef41', 'e59c541c3c0cc68c', '1d6ed861c30a6c05', '17182e5c481e14f1', 'c0a19ec78a7ad15b', 'fb9e93054db6ebbc', '38d17287a2d1b35e', '4e2fbc828c9fe2bc', 'c9ae81970b7075f0', '8f7ee093c756747f', '937764224c20d45a', 'fec56e270756abde', '44b340e3529d5406', '8de1dc4b14509c48']; context = [[66, 115], [6, 51], [1, 40], [32, 91], [9, 58], [10, 49], [1, 40], [187, 245], [13, 68], [1, 50], [95, 147], [175, 229], [120, 169], [9, 73], [31, 82], [1, 40]]; loss = 0.010472 low_pass_filter = 0.300
+Epoch 0: | | 25859/? [4:43:03<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 25860; scene = ['1ec05b1217b8faed', '35bf2746e0a4e79e', '75471527ff3b5afd', 'a27eef8a648834bc', 'b27b5bfe5e4a5aec', 'f6dd60c46b7401e4', '485b767178f8d931', 'a190cb946726d886', '03a91501aac2c6cd', '6a1ea67384a032e0', 'd203eea4f23729fc', '44a80e185df46f72', 'a16e4bbb68282ea0', '1dabb60db937c768', 'cd081fcfcf314ef6', '79c03730a78833a0']; context = [[78, 128], [29, 70], [122, 186], [177, 229], [0, 48], [3, 72], [125, 191], [5, 46], [23, 70], [17, 75], [112, 168], [79, 124], [35, 89], [13, 54], [71, 131], [13, 54]]; loss = 0.010525 low_pass_filter = 0.300
+Epoch 0: | | 25869/? [4:43:09<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 25870; scene = ['16786b3b82992a6d', '5f0abde967392b64', 'dec83e9b894e9d8c', '2e7ce3e57bead424', '37205c388a65d832', '78d0ce3944e20e13', 'df222036e9ce1b1b', 'd719013f6756802b', 'd3e9e885f06cf2d7', '8147b073803ed169', '905b8ce6244103e3', '840e6842fb5ba732', 'c5e2876b5e0e7265', '067c03a150a6535d', '1f0a743ea04c1022', '4b6f368238db6ba0']; context = [[92, 134], [190, 258], [16, 74], [30, 81], [1, 50], [3, 61], [23, 66], [84, 125], [1, 43], [0, 69], [31, 80], [175, 222], [33, 97], [35, 92], [43, 107], [9, 51]]; loss = 0.009107 low_pass_filter = 0.300
+Epoch 0: | | 25879/? [4:43:22<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 25880; scene = ['f546d4b7f1fad4fc', '083e06ea00de183b', 'fe95b1b2cd2306fd', '6f8c7d10b8feadcf', 'ea05fe4dc21b53e6', 'db57f8c931011117', '97c5d79bc0c119e7', '8f242b96af5a7005', 'd0e565ee49890e94', '3231aca99e0a8889', 'c6066f922a2b4fe0', '7ab87cae327184c3', '3e9b0aef46871757', '303910b1146da10a', 'a31eae8ce8a4dbfd', '6fa7c62ef1f2df71']; context = [[15, 58], [11, 72], [0, 60], [43, 94], [9, 53], [128, 185], [1, 46], [64, 123], [53, 122], [56, 106], [51, 89], [183, 248], [23, 87], [1, 66], [54, 118], [1, 65]]; loss = 0.009853 low_pass_filter = 0.300
+Epoch 0: | | 25889/? [4:43:41<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=25.20, train/active_min_children_step=4.0train step 25890; scene = ['01df3fff1e49799c', '37d687c129022732', '5504701fb8520818', 'd0949c78a764e278', 'c9cc80abd6a058cc', 'a5991c36cbc1e162', '7e39c1172230514f', '6519a2e146bec2a3', '6b3f97ae13e1f6c3', '74e3e6de971edea1', '093704d9160df32d', 'fbd4913da8a907c2', '828399209d5ffc4f', 'f76b02964abe7d74', 'bb3c42b6434a231e', 'e290173c0fde2ae8']; context = [[86, 137], [58, 97], [61, 107], [36, 76], [0, 40], [6, 45], [41, 90], [8, 70], [74, 129], [19, 78], [204, 273], [7, 65], [104, 143], [5, 71], [33, 78], [7, 62]]; loss = 0.010617 low_pass_filter = 0.300
+Epoch 0: | | 25899/? [4:44:01<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 25900; scene = ['2182b76a33fef09f', 'd6624aac6774c6cf', 'e18573d92ab9ebf6', '7665f3aca38b0220', '9fea16da5934281d', '481eaa0e0208530c', '5635970d790ef23e', '4ea42f87aebcb998', 'f5b22f85a5ab4806', '3afb5d28d32fe31b', '210a554ba8d9cd87', '8d0a735a877f6368', '70b657330ca11de8', '48252a4b54c04894', '90d1df38cff37e64', '23ce480af575d312']; context = [[41, 85], [8, 50], [148, 194], [96, 165], [56, 120], [4, 71], [70, 116], [53, 95], [1, 65], [15, 70], [18, 71], [6, 56], [33, 85], [21, 83], [3, 42], [77, 119]]; loss = 0.009404 low_pass_filter = 0.300
+Epoch 0: | | 25909/? [4:44:21<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 25910; scene = ['d5d319bb0bb91ea8', '3442a19cd7d6d5c0', '4d09d7bbfb746a2e', '79bc7be6d517c2a0', '44bdf4329253be0f', 'c5461c555f448911', 'be8ec5059dcd84c7', 'efbb4fa57602a575', '75374fbe603acdc3', '8e200c435db6aa29', '7255e59541aeec0b', 'df1833c7f247b8c8', '3413cbe14a2c0fbf', '2ab05c982fe556ba', '716290f59cec96d4', '2bfd7a62ae051639']; context = [[3, 65], [21, 66], [3, 54], [9, 48], [14, 73], [26, 84], [34, 79], [206, 263], [40, 94], [30, 77], [65, 124], [40, 83], [0, 38], [10, 74], [43, 82], [10, 66]]; loss = 0.013409 low_pass_filter = 0.300
+Epoch 0: | | 25919/? [4:44:38<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 25920; scene = ['812f66c0ca94fcc9', '42928282597bbae6', '5f50c0139db3d146', '63152876b2962eeb', '3bd8b6fc41cb1a82', '6ab4f1994ae94609', '33071a63b419262f', '7c40bffc17c61edb', '629b76c446e7e1ff', '49ca0e41c7487452', 'b56e105ab403fa24', 'd03a73369cb6a472', 'd48f435e37cfc3a4', '7f7438bbf4ad4571', '85b4424274f57276', 'e61c4e10dbb5f3ea']; context = [[75, 121], [70, 122], [75, 116], [0, 43], [11, 52], [17, 76], [1, 69], [3, 62], [3, 65], [82, 136], [27, 92], [19, 87], [15, 68], [12, 76], [174, 229], [25, 64]]; loss = 0.009721 low_pass_filter = 0.300
+Epoch 0: | | 25929/? [4:44:56<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 25930; scene = ['3222c6f65e953650', '99024f17cee81656', 'b4c9c26caef44e89', 'd101ed7d57d47b7e', '16333d9914d5937b', 'b3b4229128c01334', '852f7c2aab04ec8a', 'e4f3630e8f2fbc49', 'ec3f91fd42fe933e', 'd14823e5d7bf0345', '652eec833b4c7da8', '0831f0c838e6e563', '0c0750bfa3e590df', '58a007e8e111ef3f', '4420547213fa33ef', 'a3d0cca9fb57fd85']; context = [[98, 158], [14, 57], [47, 106], [15, 72], [9, 62], [98, 146], [116, 180], [104, 161], [62, 123], [28, 96], [77, 118], [19, 67], [41, 90], [118, 187], [71, 111], [15, 55]]; loss = 0.010974 low_pass_filter = 0.300
+Epoch 0: | | 25939/? [4:45:15<00:00,  1.52it/s, v_num=bz2c, train/psnr_probabilistic_step=26.20, train/active_min_children_step=4.0train step 25940; scene = ['bcdb79a5ef8910f8', '05244e7bb6be731c', '35b17517c1bcd92f', '5e39693ca59e8130', 'aab1107e09a45e35', 'ec4619c9a04ad474', '14f431bca6f79d3b', 'd5a9be470293e204', '7645fe1e7ec6456d', 'c76d5c37993cd546', '042a55e78c9a78bf', 'd1b677821157bbd7', '012785080357adfd', 'a9cd1ed7693da0f3', 'be5e569ee7a66bc6', 'e5a9f9a576763b76']; context = [[7, 49], [7, 46], [15, 77], [107, 172], [16, 82], [161, 199], [20, 68], [203, 260], [108, 159], [35, 85], [99, 150], [12, 69], [0, 51], [56, 107], [48, 92], [0, 58]]; loss = 0.015027 low_pass_filter = 0.300
+Epoch 0: | | 25949/? [4:45:34<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=26.90, train/active_min_children_step=4.0train step 25950; scene = ['e8041f1e1fed357d', 'ff02f88545dfa566', 'df378b8aa82b58d8', 'cee9854ce7c26fc5', '8d9ff5cd908a6c41', '8f05895cb146fc2a', '69ecf89c19fc5e66', '3cbfc2fc164269c0', 'bf44dcf838be7723', 'a720ffa787230c65', 'd44cfdddecdcbcf5', '05b5752d615deeb7', '35fb934b6f5d7250', '2a0c203240264351', 'dcb8ffff13e493c5', 'd7b29df60c4100dc']; context = [[92, 151], [72, 136], [5, 44], [26, 69], [10, 63], [30, 74], [2, 48], [20, 74], [12, 75], [5, 44], [80, 135], [175, 238], [47, 99], [38, 82], [4, 43], [53, 106]]; loss = 0.010831 low_pass_filter = 0.300
+Epoch 0: | | 25959/? [4:45:55<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 25960; scene = ['89dc50dc9a4e15bd', 'e1843a68dc42dff5', 'b4e77f88414fe966', '8592ba43aefb06d9', '17515d51eaafdd2c', '694c8dd760733383', '6203ec07eb54ea40', '9258ddec553eebc1', '5f6769e58c33cf0b', '36f3aa0785b3fe43', '60f3a3b7593eed53', 'eb3c7682b5e3ca81', '97ca81e3d9b2a5ec', '5b70d25bd9127630', '881055c002ef1e5d', 'daa33c5d0372574c']; context = [[34, 74], [25, 81], [0, 39], [3, 44], [3, 61], [20, 88], [11, 69], [19, 57], [67, 123], [162, 229], [32, 73], [12, 67], [39, 85], [137, 178], [53, 95], [20, 70]]; loss = 0.008875 low_pass_filter = 0.300
+Epoch 0: | | 25969/? [4:46:13<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 25970; scene = ['2f38e23c9af5b565', '30ba32c31521175d', 'b5b77d5fb33aadf9', '6da69e059ba7030b', '83f9feb3fbd8b37d', '816ab726dadb8795', '0d838f304da2d721', 'a2fb92cb976a8506', 'fb82c586a77e9d12', '7d3a4db42458fcb5', '5aef79486958a9c9', '5ae2c32a2062fc64', '26b59e475b721b70', 'b5c07eef1beb187e', '61195575024c6cf4', 'a3da510ad5c8274e']; context = [[41, 102], [57, 122], [58, 122], [220, 264], [152, 208], [128, 169], [38, 91], [79, 117], [23, 71], [50, 96], [25, 94], [17, 73], [20, 72], [68, 112], [59, 105], [67, 136]]; loss = 0.010825 low_pass_filter = 0.300
+Epoch 0: | | 25979/? [4:46:32<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 25980; scene = ['eaeaf71b0ff6e2e2', '259fec6c43f1f0b1', '144e1ec915e46d29', '164bfbcf3c843542', '88f602169e8e43e5', 'b34bb5f53856d34f', 'a7c776da58a96494', 'b25963fb28a6fd6a', '533bb7185fd2572d', '281599bbab3e73dd', 'f99640d38891e746', 'bedf88185159e542', 'dc50de438abdb52c', 'fd9625e01240c2a3', 'e23baeaee13d12b1', '1e82a72ac95c1a0f']; context = [[158, 204], [179, 237], [8, 50], [42, 97], [72, 126], [0, 39], [1, 59], [18, 63], [80, 121], [14, 53], [130, 196], [94, 137], [223, 271], [165, 220], [2, 62], [11, 55]]; loss = 0.010342 low_pass_filter = 0.300
+Epoch 0: | | 25989/? [4:46:49<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 25990; scene = ['82553ea3fe4fa671', '7669e97d364f029a', 'e579edd7cd33c20f', 'f6002d27b4940f4b', 'bb2d9debacfd0afe', '152fdd4a1d573eac', '83f57bcd5d9121f6', 'd0b05114696275a3', 'f74d512df8806cc1', '8d240b118357cf8f', 'fd367e423c5ec1e6', 'f760a303e59652b9', 'b60f44eb4453cabf', '4f6fe1053f3ec911', 'caffe3c2bd9d8aa1', '00db55a7dc4058d5']; context = [[14, 76], [17, 77], [0, 39], [62, 125], [8, 56], [6, 68], [8, 69], [41, 105], [39, 108], [48, 86], [95, 154], [58, 115], [72, 121], [148, 195], [108, 158], [0, 60]]; loss = 0.010716 low_pass_filter = 0.300
+Epoch 0: | | 25999/? [4:47:09<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 26000; scene = ['d4e43250c96c98c5', '43765e6135a1b51d', '3a54044fe7cf177d', 'd77f61447f897ed0', '2fd2e724a6a04576', 'd960d2f3dfb2a4d0', 'a9139b3b3fda05b5', '4b8623b613080a05', 'd095902f17028960', '5ecf126eabe4bf2d', 'e5e49ef1441c4a0b', 'fc76672a12aa84b9', '317b285e38d28b32', '8f11cc34cff18c88', '2c544ff365d58529', '248bc6eca693c120']; context = [[81, 139], [0, 70], [49, 117], [0, 38], [69, 112], [3, 62], [137, 196], [21, 67], [1, 45], [12, 76], [26, 72], [9, 47], [1, 71], [42, 89], [4, 53], [6, 57]]; loss = 0.010918 low_pass_filter = 0.300
+Epoch 0: | | 26000/? [4:47:11<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0validation step 26000; scene = ['46502a6038bd288f']; context = [[19, 83]]
+Epoch 0: | | 26009/? [4:47:28<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=25.40, train/active_min_children_step=4.0train step 26010; scene = ['5b38600054300759', '7f54d26a8ab0e14e', '86804304e90a280f', '9749f269b3c35673', '7453567bc6bb115a', '4bfd9ce2e7cf4105', '09f926704a6f40ed', '52c56b2d23539cb6', 'c4874263cf3db05d', '5dc2458745ac4f7a', '1219a58b37007b1a', '90315abc4bf86c86', '8106401c3015f193', '29ec1cdce3773212', '08ee15c7042507fd', '9a2486bdf41619d9']; context = [[5, 60], [23, 67], [0, 54], [7, 63], [5, 63], [163, 204], [1, 43], [27, 70], [2, 50], [44, 94], [34, 80], [59, 118], [73, 123], [86, 145], [108, 148], [51, 92]]; loss = 0.011163 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 26019/? [4:47:47<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 26020; scene = ['8b59ce9d21cdabc5', '29d6a3513da47b2a', '9e05992f56f535dc', 'ea903615256ec50f', '95c7b06087c6d341', '430eed4f28618c39', '78db40a9260868ef', 'b1b562b40036ae76', '6b7f15a683fc23a5', 'db560bd3bad6a29d', '3fd25d4c4bd917e3', '42837c7159a414e5', 'd5140e98ec18e816', '597188ccf92f057e', '67a721d9dacc515b', '0b758b68786dc733']; context = [[14, 57], [143, 211], [58, 101], [38, 104], [21, 68], [26, 88], [65, 133], [54, 116], [8, 78], [37, 84], [2, 52], [65, 117], [175, 225], [152, 211], [4, 57], [35, 89]]; loss = 0.011902 low_pass_filter = 0.300
+Epoch 0: | | 26029/? [4:48:04<00:00,  1.51it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 26030; scene = ['0d523169ade73286', 'ea0724550b13acea', 'c5bab1e3fcecd090', '9b6bdc23cba32873', 'db69b164ea00101f', '7b2ab16242301c26', '9de46bb009a08fb5', '7a0b51c3bfddce51', '317861b88f2bee02', 'f327230ea9b67004', '3a05ad6466f6ca3c', '76414b18a47e67b2', '02c369a3c9d058f7', 'eb86ace974e6b427', 'a1a5d5afd4a798bc', '9e6bf921e918aafc']; context = [[68, 114], [90, 154], [49, 117], [11, 78], [155, 225], [1, 69], [6, 51], [208, 273], [102, 164], [80, 147], [4, 51], [178, 243], [149, 201], [95, 153], [164, 226], [5, 52]]; loss = 0.011368 low_pass_filter = 0.300
+Epoch 0: | | 26039/? [4:48:23<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 26040; scene = ['8fd783a99a2d0141', 'f93e6c088e262d6a', 'cd00b6547676486b', '7420d0473d2f747c', 'f3c60f58000d1e09', '614a349e0b16efd7', 'f7c8f65808f12d08', '63ec3dfd04ee6970', 'f52133a15e87c234', '246e232ddde9d3e2', 'f3bc1a6ad7acbc5f', 'ee2cb07f49973d2a', '1c1838ca17ba6546', '9b4b55d49b0d6c6f', '5b370f62c5d74660', '5977ebfe3fb13dc1']; context = [[74, 135], [17, 72], [8, 67], [1, 58], [2, 69], [49, 99], [6, 63], [29, 76], [33, 72], [10, 63], [38, 83], [202, 248], [24, 93], [32, 87], [3, 67], [15, 63]]; loss = 0.011723 low_pass_filter = 0.300
+Epoch 0: | | 26049/? [4:48:43<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26050; scene = ['082779aebfbf4a46', 'e701002db5b431d8', 'd25d6a9b1356b134', '11b0941f789a29b1', '0e02ee3c20133fc7', '4281ec37ed7f314f', '5db35c5a758e42ae', '742793d0325d9468', 'd5baf7d53e841808', '87d8ff58d20dd38e', '6ac21339504bd55f', 'ceaa8a7f61143b3f', 'be9bf46e270b4063', 'b2191f22b72cd698', '1d30d8bce2897a08', '63a408decbee5e99']; context = [[37, 88], [98, 162], [11, 53], [7, 51], [4, 51], [8, 49], [43, 85], [65, 119], [51, 96], [21, 74], [230, 278], [12, 73], [8, 76], [9, 52], [57, 108], [203, 263]]; loss = 0.010344 low_pass_filter = 0.300
+Epoch 0: | | 26059/? [4:49:03<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=27.50, train/active_min_children_step=4.0train step 26060; scene = ['809c4a534eb3b5c1', '64af7d972b2609d2', 'e459d51b26a20aea', 'ce54c9faf39506db', '3d6be0f3b963ce22', '2f98a9aac1958f7d', '2253cdcdebb8ee34', 'c264a11347c75a0c', '55ba02202477c1fd', 'c9ed83552cac2a65', '92e9963c8f525044', '6710ea30efb5b47d', '20b791440b7ec0b5', '5c9877200c432073', 'ee3f7a4049756e71', '97eab841f52c3532']; context = [[77, 125], [27, 91], [61, 106], [30, 68], [99, 164], [21, 91], [11, 49], [126, 164], [14, 54], [29, 98], [20, 89], [192, 244], [0, 65], [5, 51], [3, 69], [10, 80]]; loss = 0.008320 low_pass_filter = 0.300
+Epoch 0: | | 26069/? [4:49:20<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 26070; scene = ['5914b1859a79ba29', 'fccd2ce3b04593fe', '5f204ad1cc82ddaf', '52353deaec940de4', '1368397e2dcceed5', '6fd0a32acb5e9be2', 'fefbac7ae3dcaf5c', '586c40e55dd9917b', 'c8be2a65ab3523bf', 'e93bcdd32f6201d2', '18dff95c712c43cd', 'b2002f67cd58c3f3', 'cd3f80e2f7a82583', '44ca078432802942', '8b43bf4714cafd7c', '1e592f706a286ce1']; context = [[74, 133], [10, 80], [46, 108], [2, 70], [5, 49], [4, 71], [36, 75], [17, 74], [2, 52], [8, 74], [6, 66], [1, 56], [1, 68], [234, 274], [7, 63], [57, 116]]; loss = 0.013758 low_pass_filter = 0.300
+Epoch 0: | | 26079/? [4:49:39<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=26.00, train/active_min_children_step=4.0train step 26080; scene = ['053a8ffc1fecb90f', '476081f1477b4542', '34ee4b7e062656b6', 'e791f0a53b27bbd5', 'a814d663d6af2674', 'c8a89452aa4cf54f', '3678468a9d6d42cc', '555c778e6f96777a', '0d75be966f561519', '623d5619e4702864', '0d32af0aa9eaae9a', '27c55b5a9f12362b', 'b950cd4348d01e2a', '68528e468bf52aca', 'eba4eb617aa5d763', '804998e7ec39d253']; context = [[28, 94], [4, 53], [21, 69], [20, 71], [94, 137], [17, 73], [100, 146], [38, 99], [1, 58], [201, 271], [3, 42], [23, 64], [23, 91], [11, 71], [24, 86], [6, 69]]; loss = 0.011297 low_pass_filter = 0.300
+Epoch 0: | | 26089/? [4:50:01<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 26090; scene = ['cdedebc7404b55c6', '8f85d318571f0d5a', '3e81ba33406f43d3', 'ee02795c2cab0d84', 'f99052aa7f75d58b', 'bb3f4b8c39aa0f9f', '4001283461bac478', 'f8d3ad05afe92b39', 'e44fa4f35c34ade1', 'ca230a6267bae1af', 'ad406792c81d375c', '982d31117b3d890d', '2815441dd194a10f', '117797aff27ab8c5', 'e075fac2336b3e3a', '7c420f81cb281475']; context = [[35, 90], [6, 50], [18, 75], [10, 64], [17, 78], [82, 142], [34, 98], [16, 68], [74, 141], [56, 122], [18, 80], [41, 91], [43, 94], [24, 62], [0, 38], [7, 72]]; loss = 0.008974 low_pass_filter = 0.300
+Epoch 0: | | 26099/? [4:50:20<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 26100; scene = ['930341b45d10af4f', 'cc1bcd4f8463b2ee', '33510e5a8e9d598c', '6f109232d9beb036', '26a01fb0e2976fc4', '9b1e8fe75dfee472', '65498b8de03a0b2d', 'bfadf9a64d247858', 'd3f9fbcfe7972afc', '90d70bc4c159efe2', 'e3bca018a714db69', '794a82e0519160c4', '893335afc78c8685', 'de665a63685bdac5', '817e228e9c74d745', '43e6289d0f0921a5']; context = [[21, 60], [102, 140], [96, 139], [12, 78], [33, 100], [7, 47], [11, 72], [21, 63], [7, 65], [3, 63], [86, 126], [22, 65], [39, 97], [58, 111], [4, 54], [21, 73]]; loss = 0.009906 low_pass_filter = 0.300
+Epoch 0: | | 26109/? [4:50:37<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 26110; scene = ['25b956d02e19340b', '47e7899c39da449a', 'dfb5a9520914b47f', 'b94eb92c6c18432c', '1d1f6ff2bf5a761f', '48702ec12ae43a24', '30bb04e939f45d7f', 'b90177a3e1663c39', '17a44329e92629ae', '3c96b594dee5a035', 'a6cfed3142195b52', '1132a0c28fe8748c', '65c849d84d894291', '34c07d79a9633748', '272cc6bef39a7a8b', 'be52e70932f6dcdc']; context = [[35, 102], [0, 38], [18, 71], [2, 50], [126, 170], [69, 107], [91, 131], [23, 91], [42, 82], [125, 173], [53, 122], [98, 146], [99, 164], [13, 76], [59, 120], [55, 104]]; loss = 0.012443 low_pass_filter = 0.300
+Epoch 0: | | 26119/? [4:50:56<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26120; scene = ['1570ebe6dcc16039', '172fccf6211f3546', 'f5cbf62c5cd3d71c', 'e8721dd467df39d8', '99a53c7f37fe70ac', '2316b4d8d41df4e5', '89f73665ceef8f18', '7d7a8925c09d5f7c', 'a48775c747c10026', '8feb08cb2053860c', '3a49221a3776b5f9', '86835c317170bf20', 'c8bbc00311acd55c', '09df9e8df2a992b3', '85fe5f7406271038', 'fe389d965307b43e']; context = [[61, 115], [0, 40], [107, 176], [2, 57], [16, 84], [0, 44], [137, 176], [0, 39], [6, 48], [35, 77], [25, 70], [25, 77], [62, 109], [12, 79], [49, 89], [31, 83]]; loss = 0.010644 low_pass_filter = 0.300
+Epoch 0: | | 26129/? [4:51:15<00:00,  1.50it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 26130; scene = ['4a08d8aa17ee55a3', 'abf952722816c296', '9d46e65b9edc9c15', '3a444379f8c5e5c0', '3fd549f7eef1c12b', '798ed35225d5c255', '2f709b926f593fcf', '5e7040c6384bdda7', 'fd36e02a115899ff', 'fd84675a5268e518', '7f5e74372632e88a', 'fdcc00c4d8310e3a', '16ba79e95f3f36fb', '4a119e4fdc155f25', '4dc1674146d1feb4', 'cee058b0da530229']; context = [[19, 65], [88, 152], [55, 101], [23, 86], [21, 77], [55, 102], [48, 90], [20, 67], [19, 89], [16, 59], [1, 61], [21, 78], [12, 72], [26, 92], [13, 66], [3, 62]]; loss = 0.011285 low_pass_filter = 0.300
+Epoch 0: | | 26139/? [4:51:35<00:00,  1.49it/s, v_num=bz2c, train/psnr_probabilistic_step=27.40, train/active_min_children_step=4.0train step 26140; scene = ['ffe1d56896c0557c', '6603f8dfda7742a1', '2355e49417a42565', 'bdb99baf50a5625b', 'c83f4f9c4271aef6', 'a2d213e90836a280', '4c737af8dea45195', '30bad8b99b0649cc', '7941f38ede629d40', '4cb2eaf3ea088f25', '76f1f99b2f95a66c', 'bb76208880c43693', '228e3004c9ff58ed', '8930ee35316aaca6', '426790db8571d894', 'c34254b9239f4d5f']; context = [[195, 239], [220, 277], [92, 145], [4, 50], [37, 96], [67, 115], [2, 47], [91, 137], [52, 97], [127, 180], [0, 68], [26, 94], [45, 99], [8, 50], [83, 123], [17, 70]]; loss = 0.008455 low_pass_filter = 0.300
+Epoch 0: | | 26149/? [4:51:54<00:00,  1.49it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 26150; scene = ['3ad7f1f843b2004d', '3f2e3a1c53cc15c7', 'b2ba2a9226ab5416', '244f5889c98e08d8', '21be445f191eadba', '0db524aed16843f5', '3c23f9c44d4156dd', '597d275f09b79f31', '334353cf397fda8a', '58579896a14a9718', '46cfe90be78f1b48', '39add666b4236924', 'b9d021ee08c7e2a3', '9746f30f65f4a89a', '4853d578da5d72f1', 'c61fa9582ea4c8f1']; context = [[65, 115], [30, 81], [3, 46], [34, 100], [12, 60], [38, 95], [15, 79], [70, 113], [206, 256], [67, 127], [102, 165], [78, 128], [14, 65], [15, 83], [24, 81], [68, 121]]; loss = 0.009644 low_pass_filter = 0.300
+Epoch 0: | | 26159/? [4:52:12<00:00,  1.49it/s, v_num=bz2c, train/psnr_probabilistic_step=27.10, train/active_min_children_step=4.0train step 26160; scene = ['caf3f9635ae18219', '8ac3f80d10dab739', '8c6475f6a50ecf0b', '1d83d7e1067a9972', 'f8ae7a816be4c3c7', '9f1a754bc0ca1002', '181d724e8cff2234', 'fb6b9f1e874ffb31', '527d74c598ff7b6d', '8efc5fd1fbf4c924', '587bde63976c7658', 'dffc452274d7cc7e', '8df7f7cf4f43c4f1', '508e362a797583d5', '9408f88181096e42', 'ebad6e827d1b5253']; context = [[18, 80], [17, 71], [33, 100], [153, 210], [3, 71], [21, 68], [65, 114], [23, 89], [162, 224], [131, 170], [51, 100], [26, 75], [0, 41], [18, 67], [105, 150], [40, 85]]; loss = 0.010481 low_pass_filter = 0.300
+Epoch 0: | | 26169/? [4:52:31<00:00,  1.49it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 26170; scene = ['8705a0db1225c81b', 'e7df13eca6bc6264', 'ec25ff20b657f248', 'e95687cad1947692', '92db9837fec770fb', '5b459016ddb3ba57', 'd2cc54627797eb1c', 'ea0cd1a6ce3cb497', 'bf3d5a7c0eeb5398', '1112900e2462a9d6', '5f574a3f7e2bbed8', '8b3f52086b131151', 'a6377dfb4e94b6a5', '25b4a4bd7f750a5e', '3111579f1c9d5f28', '8d6d9857a57baee3']; context = [[116, 157], [32, 89], [34, 73], [3, 71], [14, 84], [1, 55], [20, 86], [47, 107], [161, 221], [157, 212], [9, 68], [40, 102], [9, 72], [191, 247], [139, 184], [38, 99]]; loss = 0.011505 low_pass_filter = 0.300
+Epoch 0: | | 26179/? [4:52:51<00:00,  1.49it/s, v_num=bz2c, train/psnr_probabilistic_step=25.10, train/active_min_children_step=4.0train step 26180; scene = ['d0dbeb1f49cf3a94', 'a2c2b5dbef40f345', 'b8957b5a607ba2f2', 'bdcb6598be7b9526', '9c8d61c37c4bb315', '771c929fa8c4439e', 'f6f36f1a0e886abf', 'e6f0f9dc45e9f66e', '4ca12bb4344471f6', '9bc6d79bdd9830a6', '4684bfc4b6330cdd', 'bd7a0a337366b1ab', '61ea26e539098884', '53bb7687bdc3282a', '3ad2b21c6b95cf65', '1e66c5cad1710c51']; context = [[20, 59], [5, 61], [25, 73], [103, 144], [26, 69], [82, 141], [21, 64], [43, 88], [24, 63], [143, 196], [53, 99], [0, 40], [20, 58], [50, 116], [3, 45], [1, 40]]; loss = 0.009998 low_pass_filter = 0.300
+Epoch 0: | | 26189/? [4:53:11<00:00,  1.49it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 26190; scene = ['6c1376dcc17bb97e', '40df9f041d4c7858', '1921f0aa77d99890', 'af2a4edd9ee026e1', '14e19e579a9704ee', 'a91657eb1b53c0ee', '526a07ae78945335', '1d106e69248d9af1', '40786ebccb8aec35', 'fd5e487892a58781', '51bfd3ee5c473481', 'a522b097d56845a6', 'c4606cdb17012d6b', 'b85dcc204b980cf1', '2e2232e88140794a', '901ffe30eed014c5']; context = [[39, 82], [53, 123], [33, 75], [18, 81], [13, 82], [57, 103], [5, 53], [155, 223], [52, 95], [0, 46], [42, 107], [3, 44], [9, 69], [27, 85], [52, 112], [9, 56]]; loss = 0.009662 low_pass_filter = 0.300
+Epoch 0: | | 26199/? [4:53:29<00:00,  1.49it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26200; scene = ['b453ef05daffeeb4', '6875237676478d45', 'f7b09a6e87abb5e6', '4ca6ed1cf7349efd', '38c2f919e61f375e', '4c13c320c47ef017', '938865f6756c2301', '100c4c3fa1794647', 'ed074cd40dc33596', '1c124b91c6ee92a5', '8ec27dc882d87cab', 'e2128a609ff89c4b', '10624fc8f33d3a0a', 'dfe78eb63cd652e9', '9733a5e8b87112f8', '3576553305e59d4c']; context = [[114, 154], [59, 100], [7, 54], [196, 244], [5, 49], [10, 57], [50, 92], [16, 61], [71, 122], [191, 251], [61, 113], [7, 73], [51, 97], [211, 267], [108, 153], [48, 105]]; loss = 0.010225 low_pass_filter = 0.300
+Epoch 0: | | 26209/? [4:53:48<00:00,  1.49it/s, v_num=bz2c, train/psnr_probabilistic_step=27.70, train/active_min_children_step=4.0train step 26210; scene = ['423eb47d1b1d1852', '0dc38ba8923b3ee2', '8e2bea65336df1a1', 'd1e110cd656b3afd', '3fd3e20cbc6e5f69', '844c3d41bb98e44b', 'ed0af93543c3d48e', '476be94e60c05524', '0ec0c59f014bd89f', 'bc3166518efe4e15', '34a2811c3db63211', '9b9ad1559f77042a', '61049a4bf21ec488', 'e8d6100917c31f4c', '6f0ca9deec239799', '2034e425e8ca8e68']; context = [[2, 65], [183, 245], [105, 168], [63, 123], [23, 69], [28, 91], [43, 86], [34, 97], [3, 41], [170, 228], [32, 72], [128, 178], [18, 74], [48, 91], [63, 128], [8, 67]]; loss = 0.013731 low_pass_filter = 0.300
+Epoch 0: | | 26219/? [4:54:08<00:00,  1.49it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 26220; scene = ['a59032b47f1dfff0', 'cac84a71e48219aa', 'bfa48646aea12d4c', 'd0342267434bde9b', 'c44581acf8dd6c35', '1236365ec263ad76', '640dafc4b5a3d491', '1202c32d91ad3ee3', 'caa2624600dfa93f', '5e7dee438d1fcba6', '1adaf0a340d0e041', 'd8158d0ccceae891', 'eb2930c1a4b33a50', 'c3e7bc3a80c717b2', '61d56cc08c4036e7', 'c4c41548cbe80a57']; context = [[9, 63], [120, 187], [213, 274], [44, 99], [77, 133], [70, 129], [43, 81], [74, 118], [8, 64], [14, 82], [0, 55], [76, 117], [2, 46], [5, 45], [37, 79], [54, 116]]; loss = 0.011572 low_pass_filter = 0.300
+Epoch 0: | | 26229/? [4:54:28<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26230; scene = ['51a634a44dc01dd4', 'f14721fab585c585', '4e87d89c2b4138cf', 'b0ae260af883656f', 'c8e171e498269ea3', '55e04e9b50ee3cd7', 'cfa2450736df61d1', 'a7285c6e5c20dfc2', 'b620dfaca7a37365', '310940bff3f06d17', '2ba97c65f2b6b12d', 'c91a840348807d57', '3d324e5e8a7790b5', '24502963bafe2fa5', 'ce93ee0eaca72e6b', '07486563a4a6767e']; context = [[48, 115], [3, 43], [0, 42], [20, 62], [27, 72], [40, 92], [15, 82], [54, 114], [46, 97], [53, 107], [3, 42], [23, 73], [75, 134], [147, 188], [55, 102], [16, 69]]; loss = 0.009651 low_pass_filter = 0.300
+Epoch 0: | | 26239/? [4:54:46<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26240; scene = ['cf4f7a2e4420a67d', '5055bcc3bc958a3f', '0d094a1d96c9c1e5', 'ede5e00730594db7', '11323607c1d04845', 'a0da76d51b39f2d1', '77825008ac6c663b', '70e6dc2e07efc73a', '8f733bc506395644', '742beac7bb67515b', '2b38f48e832e8d20', 'ec16d4512645786d', '3cef0299f276cdad', '28020e268c1ba216', 'c4052755634f3314', '03c1440995e0347f']; context = [[0, 40], [162, 224], [31, 71], [118, 158], [0, 49], [7, 50], [155, 199], [8, 57], [47, 102], [5, 73], [34, 102], [164, 223], [40, 87], [166, 221], [21, 73], [7, 55]]; loss = 0.008947 low_pass_filter = 0.300
+Epoch 0: | | 26249/? [4:55:05<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 26250; scene = ['db811a2460c4f9b5', '7adb81ef2778ad19', 'bdeaff855b8d4e90', '2650dfe1a0b7976a', '2a06d961049b4fe1', 'fe95b1b2cd2306fd', '79bdf6f1921b96da', '13af2a8a2acc6cb2', '6f8c7d10b8feadcf', '0854759c3f66028e', '083e06ea00de183b', 'db57f8c931011117', '7dfe5f26a43a1ec5', 'f546d4b7f1fad4fc', '7d3052b47a5d4cfa', 'ea05fe4dc21b53e6']; context = [[83, 146], [56, 115], [40, 105], [9, 56], [128, 190], [4, 73], [68, 117], [8, 51], [8, 48], [41, 106], [9, 64], [215, 270], [49, 94], [23, 82], [4, 57], [15, 55]]; loss = 0.010362 low_pass_filter = 0.300
+Epoch 0: | | 26259/? [4:55:32<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26260; scene = ['5c4e65ef43430b11', '054ae374f61c2e5f', 'eeae726cfc0721fa', '85a0f956742534ed', '43e705210ed8541f', '4b697e58adeee999', '73c81edabd63774e', 'c79614eb3afc854a', 'a519a1c84e497e27', 'bb9f176934162282', 'ab7014fa0e77a4d6', 'bf586bc4ea216393', 'c2b41c1750f8d948', '52d53805a8557ee3', 'd57b42a6459958d7', 'f3d8bc3e3a2a6668']; context = [[53, 119], [53, 102], [1, 39], [4, 57], [2, 53], [86, 135], [1, 43], [8, 72], [51, 105], [3, 43], [141, 179], [120, 178], [16, 69], [13, 63], [37, 100], [3, 58]]; loss = 0.009549 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 26269/? [4:55:53<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_step=25.70, train/active_min_children_step=4.0train step 26270; scene = ['57282e8799c666da', 'c57f01070bc2b9ab', '386ce9aa95670300', '2d993758bc643a4f', '659413092374c91d', '09239525e5d87fd9', 'f40f4a376ef86065', 'ffbe808b19995226', '957356aca370c325', '69214171f3c09b70', '15ef2942e2e80f5f', '28511b9f2fdb1a1c', 'ca301930c8f2ed36', '2244f7dd2c91da2c', 'caf78660bbc1dbf2', '7c4d7ed47ae232ed']; context = [[102, 168], [23, 65], [21, 87], [108, 167], [13, 75], [21, 60], [36, 87], [4, 48], [6, 47], [49, 117], [54, 116], [15, 64], [81, 141], [137, 197], [0, 44], [63, 120]]; loss = 0.011937 low_pass_filter = 0.300
+Epoch 0: | | 26279/? [4:56:12<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_step=26.40, train/active_min_children_step=4.0train step 26280; scene = ['f66bd7a84be8e9e9', 'f3e4e6fa5841ea0a', '4889794e0a6b1495', '60fb060caf4e0c64', 'f011ad5713613c52', '355fee8d8f60f8a0', '51c0bebabb18c410', '7515dca6e9b2660e', '19bda55893b8fe34', '93b947809d5bb994', '822b566d24b29fb8', '77cb8d2a58fcc095', '1d5e720fbd1a1938', '2afa66ba3b843b4e', 'f5ec2d727c316a10', '65e7cc46a70be3c6']; context = [[2, 54], [94, 141], [201, 253], [21, 83], [176, 214], [204, 258], [65, 105], [65, 103], [19, 87], [42, 82], [23, 75], [0, 69], [88, 127], [94, 137], [19, 72], [30, 80]]; loss = 0.009247 low_pass_filter = 0.300
+Epoch 0: | | 26289/? [4:56:30<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_step=25.90, train/active_min_children_step=4.0train step 26290; scene = ['f51137376d99b7c0', '06664d17c613a563', '85d089291fa710c5', 'f0e3087ed60f8e68', '53e9f13ccdca849d', '551c02958152377c', 'e26035577b7e94b8', 'a514bcc8aced0356', '256bf843493c6450', 'e69fd4d779e61812', 'dd60a3647c0f9251', 'a884a290e94bf314', '1893323a19021d8e', 'af1312953ccd5886', '43dfb1a02857ba00', '4f336e4103d97389']; context = [[14, 79], [0, 70], [21, 68], [44, 99], [40, 96], [100, 161], [217, 269], [8, 53], [5, 69], [5, 60], [4, 62], [11, 53], [83, 134], [83, 149], [12, 73], [12, 76]]; loss = 0.009175 low_pass_filter = 0.300
+Epoch 0: | | 26299/? [4:56:49<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26300; scene = ['743fd8885643d3aa', '6b54e3dd731cf914', 'b3aed54c0e53ca56', 'b08dd02f55c030c9', 'b31b65628bc2a5ad', '6b5f5aaea390ff12', '689a2285be81da67', '9b663c4f43cd593a', '010b84cc55023da5', '8f5d7d23fd6b1e82', '0f79891c783d6030', 'acdfcb7d73532ac6', 'b7306ac29446f137', '400376ce3228c125', '687e1775ba2acdd4', 'ff6d8a229199dbec']; context = [[72, 129], [51, 95], [160, 223], [125, 182], [59, 104], [8, 53], [1, 44], [16, 86], [55, 105], [84, 143], [2, 59], [18, 83], [28, 79], [84, 126], [8, 75], [11, 69]]; loss = 0.011165 low_pass_filter = 0.300
+Epoch 0: | | 26309/? [4:57:08<00:00,  1.48it/s, v_num=bz2c, train/psnr_probabilistic_step=26.10, train/active_min_children_step=4.0train step 26310; scene = ['1b4fd4991b47bc6c', '496427e957357bbe', '722803657cfd20e9', 'b2ccc67dc6c32002', 'fb1ec62bc72d0af5', '06f2bf1a82198a46', 'a145cd9e7dfe9cb5', '5073d486cb7f3cd0', 'bd98a6e9beca8ce0', '9d5681ac698e7930', '0bf7fd35f239db86', '03e14075bd5a554f', '2d2d0f5f4ed37eee', '70ba8be172f1d209', '7a2d701dd0bf81cf', 'fff4b775cc7b0e4f']; context = [[42, 89], [29, 69], [41, 92], [2, 50], [15, 80], [8, 58], [20, 66], [3, 58], [2, 42], [16, 77], [118, 170], [3, 45], [12, 52], [17, 63], [6, 74], [2, 44]]; loss = 0.012778 low_pass_filter = 0.300
+Epoch 0: | | 26319/? [4:57:28<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=26.50, train/active_min_children_step=4.0train step 26320; scene = ['0db45743986b5100', '4a6092a27f74cb4e', '5189b82e134b6e70', '52ca0e96b0cca020', '8b4c5afff771fc3b', 'a376eeb2a6b48b9c', '48168fce6cb19de6', '38ce8373de250943', '366c23d4d72ed2c4', '49a5dd8a112fa073', 'eff3cec8a8ad0b19', 'f96e2330b2ce9910', 'e656d52bcb246c51', 'addde38c57090b86', 'c2b493a3f453b580', 'f6b4b22a93e98fdf']; context = [[35, 94], [34, 83], [229, 271], [220, 262], [1, 42], [9, 73], [94, 152], [3, 63], [28, 69], [6, 76], [51, 101], [65, 104], [20, 73], [9, 49], [40, 97], [2, 60]]; loss = 0.007652 low_pass_filter = 0.300
+Epoch 0: | | 26329/? [4:57:46<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 26330; scene = ['610f1f1af8e1f55d', '941e0a0cb21e3c73', '4a06926761d6bb80', '7b93668d35de0c1c', '1d83954cc8a5837e', '07ffd9c3d6f843fc', '068fcb66dfca20b7', '0cbb43ca1e42ae27', '3d33b3e26cef331a', '013c246d246a1697', 'eb10805a2b162c35', 'c356f39d4a9b5f4f', '03ad20fc0aba70af', '33eed6607cbf07b1', '8401d56bc98ffd44', '0b84503d6c8ee95c']; context = [[3, 63], [93, 156], [41, 96], [1, 71], [180, 232], [198, 249], [10, 54], [5, 66], [208, 266], [30, 75], [6, 62], [50, 113], [157, 221], [184, 254], [5, 70], [0, 39]]; loss = 0.010905 low_pass_filter = 0.300
+Epoch 0: | | 26339/? [4:58:05<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=25.30, train/active_min_children_step=4.0train step 26340; scene = ['1817737ac6b18f45', '42209a96fb2db3c1', '41a5f2ec0c95a471', 'ec3000b33e02444a', '7df95d8d2d2933b7', '5906b1f53b8b266f', '971586ddd0d6a4c7', '43d042f674f94209', '17be26421f669650', '313cc78ecf6c53cf', '4b699d89d1a1353f', 'b7d197b74ecf0646', 'd79152894aa2c4b8', '61669d0878ba137c', '4fd852226711ffa9', 'a8e59959de741791']; context = [[81, 140], [173, 229], [7, 47], [10, 64], [42, 102], [142, 183], [13, 55], [0, 48], [28, 92], [10, 76], [3, 60], [46, 108], [22, 90], [5, 44], [70, 119], [4, 65]]; loss = 0.012823 low_pass_filter = 0.300
+Epoch 0: | | 26349/? [4:58:24<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=26.70, train/active_min_children_step=4.0train step 26350; scene = ['21f58dd661a17f08', '13cc7af9fa1c5b1e', 'be1f92c942aa1d9c', '1c6d5d3f3957f715', '0be7e9a8e6cca579', 'caa3a366a71a2bf9', 'f83523465592a970', '79fc8c8327fdd797', 'e9f4b008fc5b70c3', 'd67b9d78d72e8afb', '1d76c3d341a60952', '050adb5ab07ff381', 'ee47d21c4fe6fe7b', '6e9f0df7451bc842', 'a27e4ed0659b4710', '8ee6d91658f575f1']; context = [[114, 163], [50, 104], [4, 63], [60, 114], [1, 66], [0, 54], [219, 274], [138, 203], [21, 61], [19, 78], [105, 154], [12, 63], [199, 266], [1, 46], [197, 256], [47, 91]]; loss = 0.010701 low_pass_filter = 0.300
+Epoch 0: | | 26359/? [4:58:43<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=25.00, train/active_min_children_step=4.0train step 26360; scene = ['a8a9227f5d789eb5', '1881e13a88e87fc2', '1dab88f5a54ee41a', '0c3ad0e885ed9a31', '893115dd43a04a27', '7cbb764b7aa8a1d4', 'f51bd3c5d50335b9', '238a28384742ad6c', '1c0afb164be04052', '27943152644d42c2', '80df049a2df21988', 'e0ca058fbb73495e', 'd75bc06e3fc14333', '5817b7ccc056f135', '9b6abb583f61a99b', '2f799acf6bbfcf79']; context = [[38, 80], [83, 122], [36, 105], [210, 270], [49, 97], [113, 167], [4, 55], [34, 93], [67, 108], [32, 81], [31, 73], [20, 65], [3, 54], [44, 85], [90, 138], [0, 47]]; loss = 0.008397 low_pass_filter = 0.300
+Epoch 0: | | 26369/? [4:59:02<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=25.50, train/active_min_children_step=4.0train step 26370; scene = ['43df8b14b0450f89', 'b43dfc6680f84101', '4264fb9e606e7b41', '81f07dd22d17b17a', '43f8b70f4a7d39a8', 'f1aed96a3877dc93', 'e695acc618a0b3fb', '6efa62598fececd0', 'bb8df0200c9fa103', '524fb31ac3c4c6e3', '2e7ce89b626118f3', '6d2aae2a7dd35e14', 'a504d1dfa7beb5e1', '3b2a475a8d70e866', 'cf0bd6b91722d169', 'af16df876bd332c8']; context = [[2, 72], [114, 172], [32, 88], [16, 78], [110, 166], [4, 68], [183, 235], [207, 276], [6, 51], [15, 73], [0, 60], [22, 62], [23, 88], [141, 198], [25, 78], [23, 68]]; loss = 0.011507 low_pass_filter = 0.300
+Epoch 0: | | 26379/? [4:59:23<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=25.60, train/active_min_children_step=4.0train step 26380; scene = ['db40e459c8979778', '1629b949594b36b5', '4832765fde4b5c76', 'b285926ca059a521', '8ceccd568474348f', 'b9c0beab80c28377', '9ab83ba6f3dee716', '8f75ef614e485fb3', '45b743f9172c9d72', '6b12f7fc86a8ce4a', '098085673ae3b8f9', 'c61da3d71ad8e0f9', 'e2782c697c307b5c', '99560b8c97c4866f', 'bced85140b42b6fb', '83b6c9f023f5e600']; context = [[20, 76], [4, 60], [46, 96], [43, 113], [52, 100], [6, 62], [16, 68], [2, 64], [17, 76], [46, 89], [26, 83], [55, 95], [22, 71], [11, 72], [55, 122], [87, 138]]; loss = 0.010018 low_pass_filter = 0.300
+Epoch 0: | | 26389/? [4:59:44<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=26.30, train/active_min_children_step=4.0train step 26390; scene = ['06e13bbcd45d9b41', '95a0d597cde1605b', 'c8c8ce39dc4c58d0', '654d07e5521de19e', 'bd38fbc45309fee4', 'eaee1f77f3e4646b', '987e3822942e5a91', '19a84a67a3a07e70', '28666c8512c4c8a4', '6b19a5bb419f101f', '31dbaa019cefe1aa', 'a967ab2ced4b1bc4', 'b36dcd3f5bc7a4eb', '4d35d640d775aea7', '0402b44b67cb86aa', '342c039d30a72ede']; context = [[6, 63], [105, 175], [30, 99], [51, 93], [31, 88], [49, 116], [22, 67], [0, 69], [85, 148], [3, 63], [28, 87], [48, 89], [2, 64], [8, 76], [68, 112], [25, 88]]; loss = 0.012573 low_pass_filter = 0.300
+Epoch 0: | | 26399/? [5:00:03<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=25.80, train/active_min_children_step=4.0train step 26400; scene = ['36207c22e4ef1437', '9ac3a25890d1c066', 'd3d8f60e4ba32fae', 'd75bee1cfe6eb53f', 'b63a129577a096a2', '5ab3d7a64b47ab52', 'dc068443ff649ed5', '23e13fe2f959531e', 'f318c630d079b064', 'd345268172e5732e', '88655ea7f5e7e420', 'ef2a5bf375f9eda6', '481956b576e9c042', 'ddff7ff1e6732648', 'df864e287334d755', '7e933251d5484bf9']; context = [[87, 127], [3, 48], [19, 70], [11, 81], [32, 73], [66, 109], [18, 77], [38, 98], [0, 53], [38, 107], [71, 132], [168, 223], [77, 133], [93, 161], [212, 252], [32, 82]]; loss = 0.011479 low_pass_filter = 0.300
+Epoch 0: | | 26408/? [5:00:19<00:00,  1.47it/s, v_num=bz2c, train/psnr_probabilistic_step=26.80, train/active_min_children_step=4.0
+[rank: 0] Received SIGTERM: 15
diff --git a/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/requirements.txt b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/requirements.txt
@@ -0,0 +1,119 @@
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+lazy_loader==0.4
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+torch==2.8.0+cu128
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+kiwisolver==1.4.9
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+nvidia-cuda-runtime-cu12==12.8.90
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+packaging==24.2
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+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
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+pip==25.2
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+pandas==2.3.2
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+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
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diff --git a/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/wandb-metadata.json b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..83dd72b8945e75fc228533cd92b48d60d43313a9
--- /dev/null
+++ b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/wandb-metadata.json
@@ -0,0 +1,107 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T23:44:39.306842Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_B16x4_gtPose",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=16",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=false",
+    "train.camera_loss=10.0",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_B16x4_gtPose/2026-05-11_08-43-19",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
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+      "used":  "656494678016"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
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+  "cudaVersion":  "13.0",
+  "writerId":  "agniwyjbsp5szsmwci23mfgngtdsptuu"
+}
\ No newline at end of file
diff --git a/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/wandb-summary.json b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..651e0a9294adbf81fc2997b503f0993253afc933
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@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/logs/debug-core.log b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..5ddf3bc907efca290fdc3c1d3560637358efc3fb
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diff --git a/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/logs/debug-internal.log b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/logs/debug-internal.log
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diff --git a/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/logs/debug.log b/exp_0511_B16x4_gtPose/2026-05-11_08-43-19/wandb/run-20260511_084439-bfc3bz2c/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..3ceb4d2aab4432930e0fe96618cb4c8cf60b0fe4
--- /dev/null
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+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_pointExtDetach_nearest
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=4
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                cpu_count: 72
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+                cudaVersion: "13.0"
+                disk:
+                    /:
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+                email: dna9041@korea.ac.kr
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+                git:
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+                    remote: git@github.com:K-nowing/FlexSplat.git
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+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32
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+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 4
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_pointExtDetach_nearest
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32/wandb/run-20260511_005255-tonob23x/files/output.log b/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32/wandb/run-20260511_005255-tonob23x/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..6e84e47395358d917cd31e8438b0a54133c9ea20
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32/wandb/run-20260511_005255-tonob23x/files/output.log
@@ -0,0 +1,83 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+150 M     Trainable params
+1.1 B     Non-trainable params
+1.3 B     Total params
+5,102.908 Total estimated model params size (MB)
+1590      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                            | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=71` in the `DataLoader` to improve performance.
+Error executing job with overrides: ['+training=gaussian_head_toy', 'wandb.project=flexsplat', 'wandb.mode=online', 'wandb.name=0511_pointExtDetach_nearest', 'data_loader.train.batch_size=16', 'model.encoder.gaussian_predictor.min_children=4', 'model.encoder.gaussian_predictor.max_children=4', 'train.pixel_error_mode=abs', 'train.error_loss_weight=0.1', 'model.encoder.gaussian_predictor.top_k=16', 'train.hierarchical_patch_position_loss_target=parent', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'train.gaussian_train_ratio_sampling=uniform', 'train.context_view_loss=true', 'model.encoder.backbone.estimating_pose=true', 'train.camera_loss=10.0', 'model.encoder.backbone.target_pose_source=gt_aligned', 'model.encoder.backbone.gt_target_pose_align_mode=nearest_context', 'model.encoder.gaussian_predictor.position_parameterization=depth', 'model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'model.encoder.gaussian_predictor.use_pred_intrinsic=false']
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/main.py", line 186, in train
+    trainer.fit(model_wrapper, datamodule=data_module, ckpt_path=checkpoint_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 561, in fit
+    call._call_and_handle_interrupt(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 48, in _call_and_handle_interrupt
+    return trainer_fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 599, in _fit_impl
+    self._run(model, ckpt_path=ckpt_path)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1012, in _run
+    results = self._run_stage()
+              ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1054, in _run_stage
+    self._run_sanity_check()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/trainer.py", line 1083, in _run_sanity_check
+    val_loop.run()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/utilities.py", line 179, in _decorator
+    return loop_run(self, *args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 145, in run
+    self._evaluation_step(batch, batch_idx, dataloader_idx, dataloader_iter)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/loops/evaluation_loop.py", line 437, in _evaluation_step
+    output = call._call_strategy_hook(trainer, hook_name, *step_args)
+             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/call.py", line 328, in _call_strategy_hook
+    output = fn(*args, **kwargs)
+             ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/strategies/strategy.py", line 412, in validation_step
+    return self.lightning_module.validation_step(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning_utilities/core/rank_zero.py", line 41, in wrapped_fn
+    return fn(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/model_wrapper.py", line 3287, in validation_step
+    output = self.decoder.forward(
+             ^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/decoder/decoder_splatting_cuda.py", line 59, in forward
+    color, depth, visibility, mean_gradients, packed_opacities = render_gsplat(
+                                                                 ^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 562, in wrapped_fn
+    return wrapped_fn_impl(args, kwargs, bound, memos)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/jaxtyping/_decorator.py", line 486, in wrapped_fn_impl
+    out = fn(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/decoder/cuda_splatting.py", line 94, in render_gsplat
+    render_colors, render_alphas, meta = rasterization(
+                                         ^^^^^^^^^^^^^^
+TypeError: rasterization() got an unexpected keyword argument 'error_image'
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32/wandb/run-20260511_005255-tonob23x/files/requirements.txt b/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32/wandb/run-20260511_005255-tonob23x/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32/wandb/run-20260511_005255-tonob23x/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32/wandb/run-20260511_005255-tonob23x/files/wandb-metadata.json b/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32/wandb/run-20260511_005255-tonob23x/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..c8adce4ed70251476ac1e081c6ed3846405d2770
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32/wandb/run-20260511_005255-tonob23x/files/wandb-metadata.json
@@ -0,0 +1,110 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T15:52:55.052171Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_pointExtDetach_nearest",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=4",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=true",
+    "train.camera_loss=10.0",
+    "model.encoder.backbone.target_pose_source=gt_aligned",
+    "model.encoder.backbone.gt_target_pose_align_mode=nearest_context",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.use_pred_intrinsic=false"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_pointExtDetach_nearest/2026-05-11_00-52-32",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "649793757184"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
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+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 4, 'max_children': 4, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_pointExtDetach_nearest', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
+2026-05-11 01:05:58,402 INFO    MainThread:1700392 [wandb_init.py:init():898] starting backend
+2026-05-11 01:05:58,619 INFO    MainThread:1700392 [wandb_init.py:init():913] sending inform_init request
+2026-05-11 01:05:59,060 INFO    MainThread:1700392 [wandb_init.py:init():918] backend started and connected
+2026-05-11 01:05:59,062 INFO    MainThread:1700392 [wandb_init.py:init():988] updated telemetry
+2026-05-11 01:05:59,066 INFO    MainThread:1700392 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
+2026-05-11 01:05:59,659 INFO    MainThread:1700392 [wandb_init.py:init():1056] starting run threads in backend
+2026-05-11 01:05:59,705 INFO    MainThread:1700392 [wandb_run.py:_console_start():2554] atexit reg
+2026-05-11 01:05:59,705 INFO    MainThread:1700392 [wandb_run.py:_redirect():2403] redirect: wrap_raw
+2026-05-11 01:05:59,705 INFO    MainThread:1700392 [wandb_run.py:_redirect():2472] Wrapping output streams.
+2026-05-11 01:05:59,705 INFO    MainThread:1700392 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-05-11 01:05:59,710 INFO    MainThread:1700392 [wandb_init.py:init():1094] run started, returning control to user process
+2026-05-11 01:06:21,605 INFO    wandb-AsyncioManager-main:1700392 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-11 01:06:21,605 INFO    wandb-AsyncioManager-main:1700392 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/config.yaml b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f5241438f37c9ee72a10d06d460b8c5c651d4bac
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/config.yaml
@@ -0,0 +1,348 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            cf3bjeqw6gyqzsj6kdrzbbw4d89e5q6v:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_pointExtDetach_nearest
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=4
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "649968193536"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47
+                startedAt: "2026-05-10T16:05:58.400999Z"
+                writerId: cf3bjeqw6gyqzsj6kdrzbbw4d89e5q6v
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 4
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_pointExtDetach_nearest
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/output.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..9144a05f26605af7b51384db9c071aa144e2bfd3
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/output.log
@@ -0,0 +1,31 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+150 M     Trainable params
+1.1 B     Non-trainable params
+1.3 B     Total params
+5,102.908 Total estimated model params size (MB)
+1590      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                            | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=71` in the `DataLoader` to improve performance.
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading model from: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 9/? [00:04<00:00,  1.83it/s, v_num=65en, train/psnr_probabilistic_step=8.690, train/active_min_children_step=4.000, losstrain step 10; scene = ['78784c6ffe218407', '2144f1fd5b00dc66', 'f568ab2fa64994e9', 'eac6cedeba1f720b', '216d5454333d29b5', 'b628b7d46a07cb57', '3b07094586f67024', '044df93e59024ee2', '167c67586a8c0846', '3931c6a7e69ffff1', 'c9c67636b9d521be', '0908c09364f54c42', '2d92b7321e1039c5', '3bc0044f0678f39f', 'e51ef9945ae527c4', '31250ac58b3e32c9']; context = [[31, 56], [10, 35], [7, 32], [27, 52], [249, 274], [57, 82], [15, 40], [114, 139], [6, 31], [6, 31], [137, 162], [14, 39], [10, 35], [95, 120], [55, 80], [89, 114]]; loss = 0.274880 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 19/? [00:09<00:00,  1.91it/s, v_num=65en, train/psnr_probabilistic_step=8.360, train/active_min_children_step=4.000, lostrain step 20; scene = ['4581bdd74b6ee0a9', 'd56e9c764f637e1c', '1f9574f1e0c1c2b2', 'd7e2a0e5718dc803', 'b2186a798ad4fb49', 'db1723893a3a6277', 'b3edac66be582f84', '6546295c3cec469a', 'b3232677872b2974', '2f27acaf69f3c7a7', '486673d483fe843a', '488358b53866b7aa', 'eedd397acee4cb4f', 'c18ea6a77949e219', '5140967fcd51092e', '08234c2181c4db46']; context = [[6, 31], [26, 51], [45, 70], [209, 234], [31, 56], [9, 34], [30, 55], [247, 272], [58, 83], [0, 25], [62, 87], [10, 35], [113, 138], [92, 117], [43, 68], [162, 187]]; loss = 0.286508 low_pass_filter = 10.000
+Epoch 0: | | 28/? [00:14<00:00,  1.93it/s, v_num=65en, train/psnr_probabilistic_step=8.950, train/active_min_children_step=4.000, los
+
+Detected KeyboardInterrupt, attempting graceful shutdown ...
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/requirements.txt b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/requirements.txt
@@ -0,0 +1,119 @@
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+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
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+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/wandb-metadata.json b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..90de65029915f97035b1028c8bfa57899dc02f26
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+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/files/wandb-metadata.json
@@ -0,0 +1,110 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T16:05:58.400999Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_pointExtDetach_nearest",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=4",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=true",
+    "train.camera_loss=10.0",
+    "model.encoder.backbone.target_pose_source=gt_aligned",
+    "model.encoder.backbone.gt_target_pose_align_mode=nearest_context",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.use_pred_intrinsic=false"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
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+      "used":  "649968193536"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "cf3bjeqw6gyqzsj6kdrzbbw4d89e5q6v"
+}
\ No newline at end of file
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diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/logs/debug-core.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/logs/debug-core.log
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diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/logs/debug-internal.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/logs/debug-internal.log
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diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/logs/debug.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/logs/debug.log
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+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 4, 'max_children': 4, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_pointExtDetach_nearest', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
+2026-05-11 01:05:58,402 INFO    MainThread:1700392 [wandb_init.py:init():898] starting backend
+2026-05-11 01:05:58,619 INFO    MainThread:1700392 [wandb_init.py:init():913] sending inform_init request
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+2026-05-11 01:05:59,659 INFO    MainThread:1700392 [wandb_init.py:init():1056] starting run threads in backend
+2026-05-11 01:05:59,705 INFO    MainThread:1700392 [wandb_run.py:_console_start():2554] atexit reg
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+2026-05-11 01:05:59,705 INFO    MainThread:1700392 [wandb_run.py:_redirect():2472] Wrapping output streams.
+2026-05-11 01:05:59,705 INFO    MainThread:1700392 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-05-11 01:05:59,710 INFO    MainThread:1700392 [wandb_init.py:init():1094] run started, returning control to user process
+2026-05-11 01:06:21,605 INFO    wandb-AsyncioManager-main:1700392 [service_client.py:_forward_responses():134] Reached EOF.
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diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/run-dgz865en.wandb b/exp_0511_pointExtDetach_nearest/2026-05-11_01-05-47/wandb/run-20260511_010558-dgz865en/run-dgz865en.wandb
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diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/debug-internal.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..12dcf0b551e5aef117238c43d5bd4bca3bfb09c0
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/debug-internal.log
@@ -0,0 +1,18 @@
+{"time":"2026-05-11T01:06:39.841747618+09:00","level":"INFO","msg":"wandb-core"}
+{"time":"2026-05-11T01:06:39.8420706+09:00","level":"INFO","msg":"stream: starting","core version":"0.26.1"}
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+{"time":"2026-05-11T01:06:40.27591235+09:00","level":"INFO","msg":"handler: started"}
+{"time":"2026-05-11T01:06:40.275986851+09:00","level":"INFO","msg":"stream: started"}
+{"time":"2026-05-11T01:06:40.276001904+09:00","level":"INFO","msg":"writer: started","stream_id":"vfb7zoq2"}
+{"time":"2026-05-11T01:06:40.276009895+09:00","level":"INFO","msg":"sender: started"}
+{"time":"2026-05-11T01:06:41.081879456+09:00","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":1}
+{"time":"2026-05-11T01:06:41.3821816+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-11T01:06:56.082866601+09:00","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":0,"events_lines":1,"console_offset":1,"console_lines":29,"uploaded_len":2}
+{"time":"2026-05-11T01:06:56.329570507+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-11T01:06:58.366751377+09:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
+{"time":"2026-05-11T01:06:58.366855973+09:00","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":1,"events_lines":1,"uploaded_len":3,"complete":true,"exit_code":0}
+{"time":"2026-05-11T01:06:58.611813028+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-11T01:06:58.611893898+09:00","level":"INFO","msg":"stream: finishing up"}
+{"time":"2026-05-11T01:06:58.611905355+09:00","level":"INFO","msg":"handler: closed"}
+{"time":"2026-05-11T01:06:58.611951213+09:00","level":"INFO","msg":"sender: closed"}
+{"time":"2026-05-11T01:06:58.611954328+09:00","level":"INFO","msg":"stream: all finished"}
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/debug.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..db4eb8280e7e54fb58721a44f59c5ad3b16b020b
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/debug.log
@@ -0,0 +1,21 @@
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+2026-05-11 01:06:39,618 INFO    MainThread:1700893 [wandb_setup.py:_flush():81] Configure stats pid to 1700893
+2026-05-11 01:06:39,618 INFO    MainThread:1700893 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-05-11 01:06:39,618 INFO    MainThread:1700893 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/logs/debug.log
+2026-05-11 01:06:39,618 INFO    MainThread:1700893 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/logs/debug-internal.log
+2026-05-11 01:06:39,618 INFO    MainThread:1700893 [wandb_init.py:init():850] calling init triggers
+2026-05-11 01:06:39,619 INFO    MainThread:1700893 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 4, 'max_children': 16, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_pointExtDetach_nearest', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
+2026-05-11 01:06:39,619 INFO    MainThread:1700893 [wandb_init.py:init():898] starting backend
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+2026-05-11 01:06:41,075 INFO    MainThread:1700893 [wandb_run.py:_console_start():2554] atexit reg
+2026-05-11 01:06:41,075 INFO    MainThread:1700893 [wandb_run.py:_redirect():2403] redirect: wrap_raw
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+2026-05-11 01:06:57,840 INFO    wandb-AsyncioManager-main:1700893 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/config.yaml b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..81e713d42216fe8513e948966a0f01c8ffd9d2a4
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/config.yaml
@@ -0,0 +1,348 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            416wsw5c01cmudchirnwemsd5c27lo5o:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_pointExtDetach_nearest
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "649968320512"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29
+                startedAt: "2026-05-10T16:06:39.617669Z"
+                writerId: 416wsw5c01cmudchirnwemsd5c27lo5o
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+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
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+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_pointExtDetach_nearest
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/output.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..00bb58324c86766580a50255c62fdb27a44565cb
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/output.log
@@ -0,0 +1,30 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+150 M     Trainable params
+1.1 B     Non-trainable params
+1.3 B     Total params
+5,104.874 Total estimated model params size (MB)
+1590      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                            | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=71` in the `DataLoader` to improve performance.
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading model from: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 9/? [00:05<00:00,  1.68it/s, v_num=zoq2, train/psnr_probabilistic_step=9.500, train/active_min_children_step=4.000, losstrain step 10; scene = ['78784c6ffe218407', '2144f1fd5b00dc66', 'f568ab2fa64994e9', 'eac6cedeba1f720b', '216d5454333d29b5', 'b628b7d46a07cb57', '3b07094586f67024', '044df93e59024ee2', '167c67586a8c0846', '3931c6a7e69ffff1', 'c9c67636b9d521be', '0908c09364f54c42', '2d92b7321e1039c5', '3bc0044f0678f39f', 'e51ef9945ae527c4', '31250ac58b3e32c9']; context = [[31, 56], [10, 35], [7, 32], [27, 52], [249, 274], [57, 82], [15, 40], [114, 139], [6, 31], [6, 31], [137, 162], [14, 39], [10, 35], [95, 120], [55, 80], [89, 114]]; loss = 0.268445 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 17/? [00:09<00:00,  1.72it/s, v_num=zoq2, train/psnr_probabilistic_step=9.520, train/active_min_children_step=4.000, los
+
+Detected KeyboardInterrupt, attempting graceful shutdown ...
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/requirements.txt b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/requirements.txt
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+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
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+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
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+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
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+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
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+python-dateutil==2.9.0.post0
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+pip==25.2
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+Pygments==2.19.2
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+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/wandb-metadata.json b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d9cefc33ed91b46b46caaa72b54b8039ea9bea24
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/files/wandb-metadata.json
@@ -0,0 +1,110 @@
+{
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+  "startedAt":  "2026-05-10T16:06:39.617669Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_pointExtDetach_nearest",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=16",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=true",
+    "train.camera_loss=10.0",
+    "model.encoder.backbone.target_pose_source=gt_aligned",
+    "model.encoder.backbone.gt_target_pose_align_mode=nearest_context",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.use_pred_intrinsic=false"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
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diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/logs/debug.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-06-29/wandb/run-20260511_010639-vfb7zoq2/logs/debug.log
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+2026-05-11 01:08:24,445 INFO    MainThread:1701394 [wandb_init.py:init():850] calling init triggers
+2026-05-11 01:08:24,445 INFO    MainThread:1701394 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 4, 'max_children': 16, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'patch_embed'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0511_pointExtDetach_nearest', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.05, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'parent', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 37500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
+2026-05-11 01:08:24,445 INFO    MainThread:1701394 [wandb_init.py:init():898] starting backend
+2026-05-11 01:08:24,664 INFO    MainThread:1701394 [wandb_init.py:init():913] sending inform_init request
+2026-05-11 01:08:25,101 INFO    MainThread:1701394 [wandb_init.py:init():918] backend started and connected
+2026-05-11 01:08:25,104 INFO    MainThread:1701394 [wandb_init.py:init():988] updated telemetry
+2026-05-11 01:08:25,107 INFO    MainThread:1701394 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
+2026-05-11 01:08:25,802 INFO    MainThread:1701394 [wandb_init.py:init():1056] starting run threads in backend
+2026-05-11 01:08:25,847 INFO    MainThread:1701394 [wandb_run.py:_console_start():2554] atexit reg
+2026-05-11 01:08:25,847 INFO    MainThread:1701394 [wandb_run.py:_redirect():2403] redirect: wrap_raw
+2026-05-11 01:08:25,847 INFO    MainThread:1701394 [wandb_run.py:_redirect():2472] Wrapping output streams.
+2026-05-11 01:08:25,847 INFO    MainThread:1701394 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-05-11 01:08:25,850 INFO    MainThread:1701394 [wandb_init.py:init():1094] run started, returning control to user process
+2026-05-11 01:08:53,093 INFO    wandb-AsyncioManager-main:1701394 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-11 01:08:53,093 INFO    wandb-AsyncioManager-main:1701394 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/config.yaml b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7061d47890151dde50bf1cb895498fdf0c0f6262
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/config.yaml
@@ -0,0 +1,348 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            yquef6n9wu2vv38wnev038yy0n7lvfoz:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0511_pointExtDetach_nearest
+                    - data_loader.train.batch_size=16
+                    - model.encoder.gaussian_predictor.min_children=4
+                    - model.encoder.gaussian_predictor.max_children=16
+                    - train.pixel_error_mode=abs
+                    - train.error_loss_weight=0.1
+                    - model.encoder.gaussian_predictor.top_k=16
+                    - train.hierarchical_patch_position_loss_target=parent
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - train.gaussian_train_ratio_sampling=uniform
+                    - train.context_view_loss=true
+                    - model.encoder.backbone.estimating_pose=true
+                    - train.camera_loss=10.0
+                    - model.encoder.backbone.target_pose_source=gt_aligned
+                    - model.encoder.backbone.gt_target_pose_align_mode=nearest_context
+                    - model.encoder.gaussian_predictor.position_parameterization=depth
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.use_pred_intrinsic=false
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "649968443392"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08
+                startedAt: "2026-05-10T16:08:24.444564Z"
+                writerId: yquef6n9wu2vv38wnev038yy0n7lvfoz
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 66
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 37500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: patch_embed
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 16
+                min_children: 4
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0.05
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: parent
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0511_pointExtDetach_nearest
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/output.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..6f308c66c53bc093afe1d672f3c2e5c27869b6e4
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/output.log
@@ -0,0 +1,38 @@
+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+150 M     Trainable params
+1.1 B     Non-trainable params
+1.3 B     Total params
+5,104.874 Total estimated model params size (MB)
+1590      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                            | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=17` in the `DataLoader` to improve performance.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading model from: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 9/? [00:06<00:00,  1.34it/s, v_num=wnh1, train/psnr_probabilistic_step=9.490, train/active_min_children_step=4.000, losstrain step 10; scene = ['78784c6ffe218407', '2144f1fd5b00dc66', 'f568ab2fa64994e9', 'eac6cedeba1f720b', '216d5454333d29b5', 'b628b7d46a07cb57', '3b07094586f67024', '044df93e59024ee2', '167c67586a8c0846', '3931c6a7e69ffff1', 'c9c67636b9d521be', '0908c09364f54c42', '2d92b7321e1039c5', '3bc0044f0678f39f', 'e51ef9945ae527c4', '31250ac58b3e32c9']; context = [[31, 56], [10, 35], [7, 32], [27, 52], [249, 274], [57, 82], [15, 40], [114, 139], [6, 31], [6, 31], [137, 162], [14, 39], [10, 35], [95, 120], [55, 80], [89, 114]]; loss = 0.268389 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/num_gs', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/scene_scale', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 19/? [00:12<00:00,  1.51it/s, v_num=wnh1, train/psnr_probabilistic_step=9.230, train/active_min_children_step=4.000, lostrain step 20; scene = ['4581bdd74b6ee0a9', 'd56e9c764f637e1c', '1f9574f1e0c1c2b2', 'd7e2a0e5718dc803', 'b2186a798ad4fb49', 'db1723893a3a6277', 'b3edac66be582f84', '6546295c3cec469a', 'b3232677872b2974', '2f27acaf69f3c7a7', '486673d483fe843a', '488358b53866b7aa', 'eedd397acee4cb4f', 'c18ea6a77949e219', '5140967fcd51092e', '08234c2181c4db46']; context = [[6, 31], [26, 51], [45, 70], [209, 234], [31, 56], [9, 34], [30, 55], [247, 272], [58, 83], [0, 25], [62, 87], [10, 35], [113, 138], [92, 117], [43, 68], [162, 187]]; loss = 0.282894 low_pass_filter = 10.000
+Epoch 0: | | 29/? [00:18<00:00,  1.58it/s, v_num=wnh1, train/psnr_probabilistic_step=9.520, train/active_min_children_step=4.000, los
+
+Detected KeyboardInterrupt, attempting graceful shutdown ...
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/requirements.txt b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/requirements.txt
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+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/wandb-metadata.json b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..69bd3f217cdb42fc95c3252ef9a5ccdb10ca456c
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@@ -0,0 +1,110 @@
+{
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+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T16:08:24.444564Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0511_pointExtDetach_nearest",
+    "data_loader.train.batch_size=16",
+    "model.encoder.gaussian_predictor.min_children=4",
+    "model.encoder.gaussian_predictor.max_children=16",
+    "train.pixel_error_mode=abs",
+    "train.error_loss_weight=0.1",
+    "model.encoder.gaussian_predictor.top_k=16",
+    "train.hierarchical_patch_position_loss_target=parent",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "train.gaussian_train_ratio_sampling=uniform",
+    "train.context_view_loss=true",
+    "model.encoder.backbone.estimating_pose=true",
+    "train.camera_loss=10.0",
+    "model.encoder.backbone.target_pose_source=gt_aligned",
+    "model.encoder.backbone.gt_target_pose_align_mode=nearest_context",
+    "model.encoder.gaussian_predictor.position_parameterization=depth",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.use_pred_intrinsic=false"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
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+  "disk":  {
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+  "gpu_nvidia":  [
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+      "name":  "NVIDIA B200",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
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+  "cudaVersion":  "13.0",
+  "writerId":  "yquef6n9wu2vv38wnev038yy0n7lvfoz"
+}
\ No newline at end of file
diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/wandb-summary.json b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/files/wandb-summary.json
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diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/logs/debug-internal.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/logs/debug-internal.log
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diff --git a/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/logs/debug.log b/exp_0511_pointExtDetach_nearest/2026-05-11_01-07-08/wandb/run-20260511_010824-rw1awnh1/logs/debug.log
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diff --git a/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/debug.log b/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..8eda62d348479c54f69367b22a6a69deb12f7491
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False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'none'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0512_B16x4_errorMSEWU40K', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 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diff --git a/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/config.yaml b/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4b664e18d561f6a13ad91da017d1126242f5ce83
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+++ b/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/config.yaml
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+_wandb:
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+        e:
+            bh0w235x8f7xmnlmclrrxmpxpw3s221q:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0512_B16x4_errorMSEWU40K
+                    - data_loader.train.batch_size=16
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.error_prediction_mode=direct_sweep
+                    - model.encoder.gaussian_predictor.error_uniform_warmup_steps=40000
+                    - model.encoder.gaussian_predictor.freeze_error_predictor_after_warmup=true
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
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+                        used: "956929736704"
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 159bf410c79e54d61a1fe1d1555c3609933cf1f9
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01
+                startedAt: "2026-05-12T14:53:36.152513Z"
+                writerId: bh0w235x8f7xmnlmclrrxmpxpw3s221q
+        m:
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+              "6":
+                - 3
+              "7": []
+            - "2": '*'
+              "5": 1
+              "6":
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+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 22500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                error_prediction_mode: direct_sweep
+                error_uniform_warmup_steps: 40000
+                freeze_error_predictor_after_warmup: true
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: mse
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0512_B16x4_errorMSEWU40K
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+1.3 B     Trainable params
+1.0 K     Non-trainable params
+1.3 B     Total params
+5,103.342 Total estimated model params size (MB)
+1590      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                               | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=17` in the `DataLoader` to improve performance.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading model from: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 9/? [00:07<00:00,  1.18it/s, v_num=4adw, train/psnr_probabilistic_step=8.760, train/active_train step 10; scene = ['78784c6ffe218407', '2144f1fd5b00dc66', 'f568ab2fa64994e9', 'eac6cedeba1f720b', '216d5454333d29b5', 'b628b7d46a07cb57', '3b07094586f67024', '044df93e59024ee2', '167c67586a8c0846', '3931c6a7e69ffff1', 'c9c67636b9d521be', '0908c09364f54c42', '2d92b7321e1039c5', '3bc0044f0678f39f', 'e51ef9945ae527c4', '31250ac58b3e32c9']; context = [[31, 56], [10, 35], [7, 32], [27, 52], [249, 274], [57, 82], [15, 40], [114, 139], [6, 31], [6, 31], [137, 162], [14, 39], [10, 35], [95, 120], [55, 80], [89, 114]]; loss = 0.276618 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/num_gs', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/scene_scale', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 19/? [00:13<00:00,  1.37it/s, v_num=4adw, train/psnr_probabilistic_step=8.270, train/activetrain step 20; scene = ['4581bdd74b6ee0a9', 'd56e9c764f637e1c', '1f9574f1e0c1c2b2', 'd7e2a0e5718dc803', 'b2186a798ad4fb49', 'db1723893a3a6277', 'b3edac66be582f84', '6546295c3cec469a', 'b3232677872b2974', '2f27acaf69f3c7a7', '486673d483fe843a', '488358b53866b7aa', 'eedd397acee4cb4f', 'c18ea6a77949e219', '5140967fcd51092e', '08234c2181c4db46']; context = [[6, 31], [26, 51], [45, 70], [209, 234], [31, 56], [9, 34], [30, 55], [247, 272], [58, 83], [0, 25], [62, 87], [10, 35], [113, 138], [92, 117], [43, 68], [162, 187]]; loss = 0.287150 low_pass_filter = 10.000
+Epoch 0: | | 29/? [00:20<00:00,  1.44it/s, v_num=4adw, train/psnr_probabilistic_step=8.920, train/activetrain step 30; scene = ['6dd4b348223c880c', 'dff181c503e5c202', 'fd4c9fb0fae56ccd', '66c3771cf7cb96c2', '75790c62002de4f2', 'c7e94713ef1f1ace', '0cbf1454a4391523', '9bb0448e7cb2f733', 'a8cef6a851fbea3c', '9c763036f1d84e18', '7759eccd562145b9', 'a597e94e50eb917a', '67e69f3a4701dfd8', 'b91dfcb3102d1482', '5a2ad43377e9d18d', '0e4916077d990d1e']; context = [[4, 29], [102, 127], [26, 51], [247, 272], [39, 64], [16, 41], [129, 154], [10, 35], [38, 63], [101, 126], [8, 33], [111, 136], [10, 35], [76, 101], [52, 77], [21, 46]]; loss = 0.280813 low_pass_filter = 10.000
+Epoch 0: | | 39/? [00:26<00:00,  1.47it/s, v_num=4adw, train/psnr_probabilistic_step=9.550, train/activetrain step 40; scene = ['af9d978c9fca5752', '55cf2bbe9e017ea4', '437474fa4196e1b7', '0207b0ec0cc851f6', '1684dbfef3d182a9', '512cd4ea0fef0198', 'd1772c09b4b6d95f', '629f07baec1cbad5', '99e9f09b456ef23e', 'd066040e500bd58b', '7e7b53917bcf337b', '0066ed3711a7240d', '0f0bbb6510ca3018', 'c49bd62c183dd925', 'd7ca14c855d58875', 'b07a54eda9cdaccb']; context = [[175, 200], [3, 28], [122, 147], [24, 49], [17, 42], [35, 60], [53, 78], [110, 135], [31, 56], [13, 38], [54, 79], [71, 96], [37, 62], [11, 36], [45, 70], [106, 131]]; loss = 0.233301 low_pass_filter = 10.000
+Epoch 0: | | 49/? [00:32<00:00,  1.49it/s, v_num=4adw, train/psnr_probabilistic_step=9.550, train/activetrain step 50; scene = ['c1bcd66d5a2d51b6', 'ea5a39bd855fdd91', 'f3135a7492955a8a', '9794641b7e015578', '5041701491a4b930', 'c2fd6e5ebbff57b3', '604b0838aa3321c5', '86d9acf576d8ec0b', '2dd4d2a252e34405', 'fe1cf5504260d4ea', '7e58b6857e275547', '7dfeaf87a8145697', '96b163f47895beee', '83c9baf5bbc941ee', '23d17b97a9d3674e', '36846d6fa22bba62']; context = [[113, 138], [33, 58], [127, 152], [125, 150], [124, 149], [27, 52], [26, 51], [157, 182], [30, 55], [3, 28], [132, 157], [8, 33], [115, 140], [106, 131], [69, 94], [135, 160]]; loss = 0.211413 low_pass_filter = 10.000
+Epoch 0: | | 59/? [00:39<00:00,  1.49it/s, v_num=4adw, train/psnr_probabilistic_step=10.90, train/activetrain step 60; scene = ['d8b22b4eb5e28e71', '68e586537c71a833', 'ad24c22967e79c48', '5a6fefaa5fc9fb2b', 'c0e3203eaee46f03', '8e16c8644efeec52', 'b0acc8ab51920ba2', '03d05f69a1cab4f8', '4017d144a78a75f1', '729acff96609b269', '4c9fcaa404a29913', 'c963dfce16d61584', '45a2984105a2b69b', '88758635b5ba64ab', 'cc68efcc2b123690', '5d77d10032b5d35d']; context = [[88, 113], [101, 126], [43, 68], [15, 40], [44, 69], [6, 31], [14, 39], [129, 154], [125, 150], [40, 65], [161, 186], [0, 25], [12, 37], [20, 45], [161, 186], [17, 42]]; loss = 0.242348 low_pass_filter = 10.000
+Epoch 0: | | 69/? [00:45<00:00,  1.51it/s, v_num=4adw, train/psnr_probabilistic_step=11.60, train/activetrain step 70; scene = ['73ecf847059621f6', '6a60c963307639aa', '83f9d8c6d307248a', '6df172462e2547f2', '8dd73309b133b8bf', 'bbbded1a277dd24f', 'c7af45d1166fe6cb', 'f5db0bad3ebe96e3', '57a51e1d7e1b80fe', '5223b08ead451ba3', 'f6894181dbf11e40', 'b24a35dc8884076b', '73b27f4f150327af', '932af4bdfcb8093b', '7bdeaa5ddcb319c8', '6e1a2b5a4f427345']; context = [[5, 30], [0, 25], [18, 43], [133, 158], [47, 72], [5, 30], [23, 48], [2, 27], [51, 76], [100, 125], [0, 25], [19, 44], [41, 66], [178, 203], [1, 26], [59, 84]]; loss = 0.177028 low_pass_filter = 10.000
+Epoch 0: | | 79/? [00:52<00:00,  1.52it/s, v_num=4adw, train/psnr_probabilistic_step=12.40, train/activetrain step 80; scene = ['d628ed946998f4f0', '75335793f866b96d', '634b28ad470cf75a', '04285c62eb6cc081', 'cd2d9ac2a7223cf5', '3aba252e263e7585', '3d90d586b33daa63', '86dfadf971ff9ff5', 'a9936b77895f33b3', '06a16655c8e8ad9c', '1e56c6d50221c84b', 'c5a85f680c4f9c9c', '92bc1a5a284f9e88', '186b6487fea252ab', '6cbbe9075b0d2138', 'fb7776636c2a50b5']; context = [[24, 49], [28, 53], [74, 99], [44, 69], [104, 129], [215, 240], [72, 97], [87, 112], [20, 45], [25, 50], [122, 147], [50, 75], [166, 191], [37, 62], [104, 129], [36, 61]]; loss = 0.155969 low_pass_filter = 10.000
+Epoch 0: | | 89/? [00:58<00:00,  1.53it/s, v_num=4adw, train/psnr_probabilistic_step=11.50, train/activetrain step 90; scene = ['48c804cdf23efb75', 'bdf562da5cc7475c', '31240f5e4b708132', '723f94d150ab09f2', '296063ceba643c07', '6e5505414fd63528', '5a9672017ab85918', 'a67e709b68b7163d', '7e34a8e57c879465', '18aecc2e66ae3112', '0160565c91c8654b', '692a87e2b7ebc8be', '2107f0bc2f004d1e', 'c25b314716aa6b10', '0779daaad5fd0ef7', 'e6cfdadf048f70a1']; context = [[8, 33], [0, 25], [91, 116], [248, 273], [100, 125], [50, 75], [64, 89], [66, 91], [29, 54], [43, 68], [36, 61], [4, 29], [55, 80], [0, 25], [52, 77], [55, 80]]; loss = 0.132536 low_pass_filter = 10.000
+Epoch 0: | | 99/? [01:04<00:00,  1.53it/s, v_num=4adw, train/psnr_probabilistic_step=12.70, train/activetrain step 100; scene = ['b34bb5f53856d34f', 'd110e65023ed8364', 'cb155c027de7a145', '7d9fc989aa9c6149', '6d51b12343179f02', 'cc2226bd7f8faab6', '84f60ca2323e9654', '4e1c106e3effe9bc', '042ddfb169d6bbdb', '342099a48847f4f6', '6ea0ff32c8ea695c', '38a6a1ac5db4c9ca', 'f7a74e0520117195', 'a931b461d6725481', '786cc15dbe60b001', '94841d39236a40ee']; context = [[0, 25], [25, 50], [126, 151], [97, 122], [3, 28], [19, 44], [17, 42], [63, 88], [26, 51], [12, 37], [3, 28], [117, 142], [8, 33], [79, 104], [68, 93], [28, 53]]; loss = 0.160988 low_pass_filter = 10.000
+Epoch 0: | | 109/? [01:10<00:00,  1.54it/s, v_num=4adw, train/psnr_probabilistic_step=13.90, train/activtrain step 110; scene = ['da0fad2070e6c0dd', 'e17208be486cc7a7', '2b15c8704aaa87ba', 'dbac9841157230ce', '0f62ec5c20682f71', '1251592126203554', 'bd99ad1d47bb9005', '04b859d3d26366de', 'f4b06ed6e137cd5d', 'b1de49fea231bb59', 'f92964360d184d99', 'a0b45bab75d35ee0', '3d9f44d7bdd0796d', '42000d5a83b48ee4', '625e3aa0ff734714', 'd2dd3b46d9903314']; context = [[21, 46], [125, 150], [41, 66], [225, 250], [217, 242], [8, 33], [76, 101], [4, 29], [168, 193], [20, 45], [5, 30], [13, 38], [36, 61], [45, 70], [57, 82], [132, 157]]; loss = 0.114085 low_pass_filter = 10.000
+Epoch 0: | | 119/? [01:17<00:00,  1.54it/s, v_num=4adw, train/psnr_probabilistic_step=14.50, train/activtrain step 120; scene = ['65c4746a5f0a43b7', 'ce3ff34509148f55', '2b83ce9b23c5ab7d', 'd729044c166a455f', '84cede8286dcf69b', '3ba79e4a3499b7bc', 'afc970648a89e04a', '5a040cbc8d351ff7', '8278bfd97661dc65', 'bf37ac6cc15e90c4', '2bf30153b26e2060', '814f74b9c3c4d094', '0a609dca037e83a9', 'eda299b8ec5d56ff', '82b8b4c5e983729f', '122d66974706d78c']; context = [[3, 28], [2, 27], [41, 66], [173, 198], [70, 95], [70, 95], [79, 104], [159, 184], [1, 26], [76, 101], [45, 70], [31, 56], [8, 33], [64, 89], [155, 180], [4, 29]]; loss = 0.103176 low_pass_filter = 10.000
+Epoch 0: | | 129/? [01:23<00:00,  1.55it/s, v_num=4adw, train/psnr_probabilistic_step=15.20, train/activtrain step 130; scene = ['7898a828b7203ca4', '6814d469f5cec50d', '68a4606ce0150ce6', '70a343bffc90f4aa', 'c31cf070ae1a75d4', 'e734e244799d0bfd', 'cb734fdc69e9900e', '89e3bea1f3d2137a', '12f1a55c604c66b0', 'f8532bb5eca0e29d', '174ebd189316bd92', '0087cf27aa9e6167', 'be0f77ad0082e93e', 'db6cd90de8fee2ff', '739932d092e06fe2', 'b703bdb45d172fe7']; context = [[32, 57], [78, 103], [64, 89], [45, 70], [73, 98], [143, 168], [24, 49], [132, 157], [239, 264], [25, 50], [39, 64], [32, 57], [221, 246], [60, 85], [68, 93], [72, 97]]; loss = 0.094027 low_pass_filter = 10.000
+Epoch 0: | | 139/? [01:29<00:00,  1.55it/s, v_num=4adw, train/psnr_probabilistic_step=16.70, train/activtrain step 140; scene = ['c206b7bad4e2bd69', '7a82d470ad5d5855', 'c08a5ec56e05c975', 'f928d960cbfae15a', '6c7379b0be88feb0', 'cc2ee5b080780c5e', '93f6c9634e5ad304', '631caf62e5167b66', 'eeb55a861130a21d', 'a47a167922cfc6df', 'd4a97e0a52dc8cb7', '8f110752082f188c', '8b671df4b3b155bd', 'd90000318f9a8442', 'dd3bbf1f7f832e83', '1786d6d8c1da703e']; context = [[19, 44], [48, 73], [108, 133], [48, 73], [250, 275], [0, 25], [1, 26], [76, 101], [18, 43], [55, 80], [53, 78], [21, 46], [38, 63], [56, 81], [3, 28], [38, 63]]; loss = 0.073947 low_pass_filter = 10.000
+Epoch 0: | | 149/? [01:35<00:00,  1.55it/s, v_num=4adw, train/psnr_probabilistic_step=16.80, train/activtrain step 150; scene = ['abab9d091104123a', '58f47cf52ac6cd8e', '496af891d9e2079c', '5b14f5577d88ef9d', 'd317148296e2c9e7', '9fde0d7ec4b06f6c', '225e7ec65db4fff6', '01e4bd13a70c49ac', 'ff6e099a51781a35', 'd354f81b3f57bc62', '27d205da1f0f929c', 'bf2b8a204cdeb69f', 'e5812066c518f8a2', '1d035bb092fa4113', '5da7fa4de4cc06e1', 'f5ac33bf99394312']; context = [[43, 68], [217, 242], [3, 28], [62, 87], [17, 42], [37, 62], [4, 29], [1, 26], [136, 161], [36, 61], [16, 41], [98, 123], [2, 27], [33, 58], [2, 27], [68, 93]]; loss = 0.065974 low_pass_filter = 10.000
+Epoch 0: | | 159/? [01:42<00:00,  1.55it/s, v_num=4adw, train/psnr_probabilistic_step=18.00, train/activtrain step 160; scene = ['b95ffd3039761a94', '43c4c89b3414a0fc', '956df4359a5b3ced', 'bd077bfc739857cd', '252aa7d6ffb0422d', '14af89bdc75382ab', 'fc8deaf763806c66', 'c236887ce05e2c32', '20f3647b9c4356a9', '3abd72e83aac22b2', 'dd9067bcff6354f9', 'ad75e36b74f6b033', 'e0c462f81b501a0f', '0b6bc1cddcc503af', 'e68bf4919dbd4e29', 'a4cc10dede2eba84']; context = [[44, 69], [49, 74], [174, 199], [208, 233], [44, 69], [54, 79], [1, 26], [7, 32], [59, 84], [8, 33], [6, 31], [144, 169], [191, 216], [7, 32], [134, 159], [19, 44]]; loss = 0.059732 low_pass_filter = 10.000
+Epoch 0: | | 169/? [01:48<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=19.70, train/activtrain step 170; scene = ['d93de5f6c62c01f3', '3e68b6b7bb281e94', 'cb09920c02a2b6bb', '506fed97ede5adbf', 'fc8aa2c335c15eb9', '25bd820746058fb5', '37578ce7a19d91aa', '9569fcfe82105f38', '70285f05516940b2', 'c7d4d5977857ba5a', '74c2c2c5287346b6', '95bdea61f4c80624', '2bfd7a62ae051639', '716290f59cec96d4', '5460e2c24ab3b848', '9093c09d9919a5ee']; context = [[65, 90], [8, 33], [17, 42], [45, 70], [138, 163], [72, 97], [53, 78], [58, 83], [9, 34], [144, 169], [62, 87], [46, 71], [60, 85], [69, 94], [10, 35], [22, 47]]; loss = 0.050268 low_pass_filter = 10.000
+Epoch 0: | | 179/? [01:54<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=19.00, train/activtrain step 180; scene = ['59e55e5b179a50ba', '2ed33656a13829b9', '04d4fee4c437c04e', 'ea0ae256b3a02a33', '7357769abf6e270a', '2243808dcedf81c9', '7572cf78733b5e04', '8e15c3ce3989dc4f', 'cf78433dadf58175', '0832ad3a8f7c0ffc', '12f55e64a1f460c7', 'afba4de2c78eb96f', '7f172f67f7c6fb69', 'cb797cd30542e55c', '88d67718b0e0e025', '1e100eeadbff952c']; context = [[40, 65], [30, 55], [0, 25], [36, 61], [21, 46], [93, 118], [131, 156], [27, 52], [54, 79], [13, 38], [17, 42], [74, 99], [14, 39], [6, 31], [13, 38], [67, 92]]; loss = 0.045431 low_pass_filter = 10.000
+Epoch 0: | | 189/? [02:01<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=19.50, train/activtrain step 190; scene = ['dd8e5b4c898f822d', '3645515a07f57fde', '198d644c5230422f', '60c37b519a01205d', 'ee34918918062668', '629a4530b18dc456', 'dd1a25142bac8d29', 'f44cc142d9796ff7', '7a6bd2a4d2688ce2', 'cbb91d90ddc6d3fd', 'c93c5abcaf89dd0d', 'a5d23080c6b858b0', '39cafa06c9c431dc', '3d2772568f41a9b6', '7a564b61233c3fca', '73dcd9322253689e']; context = [[29, 54], [13, 38], [43, 68], [4, 29], [3, 28], [67, 92], [47, 72], [117, 142], [15, 40], [16, 41], [17, 42], [31, 56], [80, 105], [89, 114], [108, 133], [5, 30]]; loss = 0.043721 low_pass_filter = 10.000
+Epoch 0: | | 199/? [02:07<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=18.30, train/activtrain step 200; scene = ['1087329ad17df204', '5eca48d9febf5e70', 'bf4e0656a420aa9d', 'eff98653337775a8', 'a2ae856e2faf3097', '4eb73e73ca77fb11', 'a3214062cd1950df', '8f5e074629cedd06', '5be8385a860cd167', '21d88b442db5f97f', '282c3c958edab940', '8c2000c91596ea0d', '0339818f120ea7ab', '3738997e842ffe36', '281928f66836f023', '6dd5bd6445ada623']; context = [[40, 65], [22, 47], [25, 50], [29, 54], [15, 40], [42, 67], [219, 244], [8, 33], [22, 47], [23, 48], [4, 29], [59, 84], [13, 38], [20, 45], [8, 33], [133, 158]]; loss = 0.043850 low_pass_filter = 10.000
+Epoch 0: | | 209/? [02:13<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=19.80, train/activtrain step 210; scene = ['5498b21b7b980c1f', '2abe932fd9d76528', '86f3bbf2864c65f0', '2ae7890bd8231e93', '8fabc39ad677dece', '806af4d2d935738b', 'd78079ff1a0f045d', '2b132bbbc4b720b0', 'b551bb88ffea8c1d', 'b569a2f2d95abd90', 'a017de2545c81e26', '63636dcaf9b864e6', '874a7d92f2302f58', '4923656d2871e39c', '901e47c506f0d2c1', '7e7d7e538815535b']; context = [[24, 49], [36, 61], [38, 63], [234, 259], [68, 93], [118, 143], [46, 71], [2, 27], [106, 131], [133, 158], [68, 93], [15, 40], [1, 26], [225, 250], [24, 49], [1, 26]]; loss = 0.043644 low_pass_filter = 10.000
+Epoch 0: | | 219/? [02:19<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=18.70, train/activtrain step 220; scene = ['09db4e6feaea4714', 'f38d945b92c6e0e2', '6ba12d097566dbdb', '835a96da6173dd7e', 'ec2e3374601803b6', '458f38fa2ef28e63', '95cc4a86e6e8e823', 'a3687e6319f47730', '2395ecfa5327b13a', '4fcec6671d77987c', 'e308bb209941c309', '3f53a38d77a20a18', 'aad9a3b6cf7ad971', '68acc2522f558367', '6bd6d8270eee0b81', '59af7a148f0573b3']; context = [[36, 61], [236, 261], [35, 60], [88, 113], [38, 63], [84, 109], [44, 69], [41, 66], [11, 36], [232, 257], [3, 28], [26, 51], [43, 68], [190, 215], [71, 96], [6, 31]]; loss = 0.043848 low_pass_filter = 10.000
+Epoch 0: | | 229/? [02:26<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=20.50, train/activtrain step 230; scene = ['d7b308d30c7e7630', '8dd198d245a49bd5', 'b52203577bf5ab66', 'a025554e94654c2f', '590d0d46abee63bb', 'de1181d6c642e883', '558684b06f159a0a', 'd6dd35d96ec83e83', '443d63805b3fd4ef', 'b877fceeed5942d8', '125318c9856ce742', '8049eef0ee607a97', '07278d9d2d1e4e6f', 'a394ce027ea94a26', '2392a428453da5e7', '92db89e50720951f']; context = [[42, 67], [58, 83], [26, 51], [6, 31], [40, 65], [115, 140], [10, 35], [19, 44], [107, 132], [52, 77], [19, 44], [15, 40], [210, 235], [5, 30], [228, 253], [3, 28]]; loss = 0.043383 low_pass_filter = 10.000
+Epoch 0: | | 239/? [02:32<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=19.80, train/activtrain step 240; scene = ['a026ab82720e6363', '1c30239815f91334', '510c5beb7e6a13e2', '29f66f7d00d5a958', '824a7bbb922965f5', '053e55bc3666cc69', '2a9baa599c00613f', 'aa7d34a0930aaed6', '86961a46929cf91d', '8410b8c23b2c737d', '6789b17ebe4606cd', '12e0d4265e7789b4', '0a91685401b56e22', 'f6a0556897b15d6b', 'd83f2d1ffd5fd125', 'b281bf93286a0573']; context = [[69, 94], [74, 99], [29, 54], [78, 103], [10, 35], [51, 76], [197, 222], [7, 32], [38, 63], [30, 55], [94, 119], [8, 33], [53, 78], [33, 58], [42, 67], [204, 229]]; loss = 0.041002 low_pass_filter = 10.000
+Epoch 0: | | 249/? [02:38<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=19.60, train/activtrain step 250; scene = ['08127a499408b79e', '811e5be9bf8e26ca', '15cd8f43f173d0e3', 'f1f5e26cb49fd2a5', 'e1fbf58a49076d36', 'cae0139a521aa052', '19f950b6900d6176', 'eb54a14f301214c4', 'ec1090f15ec68a1e', '82347d56a4a55c27', '3e4608ca989fdf39', 'fee08c59f9bf59f8', '579a16674dbb8aad', '263c8f62a1f40965', '06beb74df9f499ab', '6fcb6588a79e44d1']; context = [[4, 29], [99, 124], [9, 34], [0, 25], [5, 30], [118, 143], [164, 189], [14, 39], [30, 55], [137, 162], [6, 31], [15, 40], [31, 56], [69, 94], [120, 145], [55, 80]]; loss = 0.041590 low_pass_filter = 10.000
+Epoch 0: | | 259/? [02:44<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=20.60, train/activtrain step 260; scene = ['7239b2a7554c75fe', '5947dd1e10a23b7c', 'fea1c01a1b763526', 'f0ae1c0ba950cd70', 'b6e320aeec7c0ba2', '3154710017640b49', 'ef1fa8ad46c8a424', '339a2912e861d13e', 'b35aad97d393ba2b', 'abe1b540708162f2', '14f5326ed459f92f', '42832be11a0bf2b5', '8c7d25a2c34e0402', 'b5a4e0980cd9c9f6', '108d63b0e7a60f8b', '5bb09c5a46c372d6']; context = [[57, 82], [57, 82], [9, 34], [16, 41], [25, 50], [10, 35], [51, 76], [38, 63], [9, 34], [4, 29], [31, 56], [67, 92], [71, 96], [9, 34], [18, 43], [38, 63]]; loss = 0.038476 low_pass_filter = 10.000
+Epoch 0: | | 269/? [02:50<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.50, train/activtrain step 270; scene = ['1a20aac3a317d67e', '4705db5f75ab548e', '0a3c5ae29bf2cb59', '231964ce719fed4c', '62560eba3ba6f77a', '41986a305a19ca1d', '9beaef3924b260b5', 'c63b37ec347f0d0e', '175e1611df44964f', '944e92ff3fea78eb', '52cf0ad63b78dd22', '4993c13bd0a11f24', 'ea97e5ae55e56208', '97caecafbfa7f1f6', '826d8ad6169872ba', 'a95dacbd3ea3db36']; context = [[130, 155], [37, 62], [5, 30], [0, 25], [117, 142], [61, 86], [3, 28], [10, 35], [172, 197], [99, 124], [74, 99], [47, 72], [44, 69], [71, 96], [5, 30], [59, 84]]; loss = 0.038944 low_pass_filter = 10.000
+Epoch 0: | | 279/? [02:57<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=20.60, train/activtrain step 280; scene = ['d70347e4bc080e50', '8dda78cf108c2d57', 'f6c2d79ed734958a', 'e3af760082725e5a', '37f2b83c868084df', '5627575be8e76e1d', 'eef721bc7b9f4a92', '3046f14dad8f19f2', 'cf1b9b9835b3d061', 'f0cd80abbd204b40', 'c65e2e20eff15b15', 'f1657c6128d2b332', '20a321699aab25aa', 'b5476504de893f96', 'fc36c85463412c38', 'c25194b2a961a96a']; context = [[9, 34], [134, 159], [6, 31], [6, 31], [214, 239], [67, 92], [10, 35], [18, 43], [83, 108], [12, 37], [7, 32], [5, 30], [10, 35], [104, 129], [76, 101], [13, 38]]; loss = 0.036535 low_pass_filter = 10.000
+Epoch 0: | | 289/? [03:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=19.90, train/activtrain step 290; scene = ['5b756acd27bfbaa9', 'dd6b426f383d86cf', 'c699a0c7b862e041', 'bd814603b3e38fb1', '774047a695fba862', '3d86d5c255821277', '0fc2d2e45645813b', '41646b4cab9e19e5', 'ab749461af5d5717', 'f22b0491bc90af5b', '67b0fe8f8f97dae4', '257c31a64a016d24', 'e81c3eda0310ba4e', '116dd0818dd9560e', '3a75651c2d3168a1', 'df11b2823a464dda']; context = [[27, 52], [14, 39], [30, 55], [148, 173], [17, 42], [30, 55], [84, 109], [80, 105], [12, 37], [30, 55], [191, 216], [24, 49], [0, 25], [41, 66], [36, 61], [6, 31]]; loss = 0.037532 low_pass_filter = 10.000
+Epoch 0: | | 299/? [03:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.00, train/activtrain step 300; scene = ['1cb3ecb30e3e9d0e', 'f0b193a824ced787', '344dc121e7a7866d', 'd5c7ba9e0a7956ad', 'b7895467f9574841', 'fb526fa7f45a3ae4', 'cfeaf7156a508877', '5692ffde04b99f08', 'ef5c5a590e9d175d', 'a530c8b4fa89b84e', '572f15c53545baaf', '6feb82e28fe110f9', 'debd6aa3bae1d248', '356ba7e96c3d9426', 'c46f3f1ddfd8533a', 'd6bd81b4a34ac00d']; context = [[65, 90], [75, 100], [71, 96], [19, 44], [66, 91], [0, 25], [30, 55], [127, 152], [15, 40], [10, 35], [96, 121], [39, 64], [197, 222], [8, 33], [19, 44], [184, 209]]; loss = 0.037937 low_pass_filter = 10.000
+Epoch 0: | | 309/? [03:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=21.10, train/activtrain step 310; scene = ['347a65acdefb3ab8', 'b7aeefdcf8c006ec', 'ca04de3c55cd1ca0', '53d2992e5899c3d5', '84359e8e847ad96b', '8625891ed4d0cf38', '5c4acbcb2726ae77', 'ab88a6b3b387dac9', '03a09832e1472391', 'fecda62970485d2b', '882350c0ebe1872a', '12f629409a280733', 'b92f865fbde65b1d', '8dbf79bf8fb56328', 'f81c46fec218b506', '99a11af3dcb2bd13']; context = [[13, 38], [210, 235], [122, 147], [20, 45], [54, 79], [88, 113], [70, 95], [110, 135], [45, 70], [4, 29], [39, 64], [21, 46], [0, 25], [7, 32], [47, 72], [248, 273]]; loss = 0.037335 low_pass_filter = 10.000
+Epoch 0: | | 319/? [03:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.80, train/activtrain step 320; scene = ['73fef5139753e974', '295a4324517ee9bd', 'b09e289b3dc5b7f4', '09223c50d5a39b7a', '2059d1d6c79bc51b', 'db3d51c462a54a7e', 'f7d6cec0bcd35042', '58901334e2d813d9', 'bd8103bcb04d32e1', 'd0ee747ebdd26d7f', '993a85e1b690e97d', 'f26e8a72f69b6153', 'f26c35b6e5dca2b9', '89fbc4149a5d7348', '895fe07be01436f1', 'afefafce8f467d96']; context = [[20, 45], [106, 131], [17, 42], [125, 150], [4, 29], [5, 30], [15, 40], [25, 50], [29, 54], [112, 137], [116, 141], [1, 26], [75, 100], [65, 90], [2, 27], [48, 73]]; loss = 0.034890 low_pass_filter = 10.000
+Epoch 0: | | 329/? [03:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=21.90, train/activtrain step 330; scene = ['1835f16e1c0b9795', '301fc1c9a4462dd3', 'ea4146e3386ff1ac', '2475b5436e129d89', 'a11880fb50e63985', 'bcd63850409a4c42', '0636f8d5854771ca', '18288a196b6403c0', '0f2eebc01e8dcad3', '4c326f63354ed371', '0684c9b9769fccdf', 'fe1fc09277b8a000', 'c62b22de6a7495be', '094724dd912fed9c', '5b9edc356515b2c4', '103119c8e78252e0']; context = [[12, 37], [33, 58], [16, 41], [73, 98], [1, 26], [23, 48], [27, 52], [39, 64], [66, 91], [39, 64], [5, 30], [32, 57], [34, 59], [13, 38], [104, 129], [39, 64]]; loss = 0.033377 low_pass_filter = 10.000
+Epoch 0: | | 339/? [03:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=21.10, train/activtrain step 340; scene = ['50d6d19613455b86', '29a47ea47b953e37', '485e4c3a23558aab', '129bba31edcccb2b', '4558408811e71246', 'f39f139a01476176', '0fa24a96d121319d', '45ab71fe50becdee', '8d89803ec0446d0e', '824e5d9fe8f9fe1d', '6549544819976e02', 'f8961efbf6e73ce5', '4c76d28a44171812', 'c9fc763ae456cd6f', 'aa69d5f0ef278bcc', '36e2f4d1de6396fb']; context = [[23, 48], [2, 27], [38, 63], [73, 98], [59, 84], [73, 98], [34, 59], [3, 28], [113, 138], [35, 60], [14, 39], [58, 83], [36, 61], [63, 88], [203, 228], [49, 74]]; loss = 0.037266 low_pass_filter = 10.000
+Epoch 0: | | 349/? [03:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.40, train/activtrain step 350; scene = ['2821faf83e638b87', 'f1c0d2a78d066bc0', '6494828a237a7a69', '1849a41079039a3a', '0762d4d82b19cc37', '64fe2e10e340ebc4', '6a2a2ff9c392fefe', '22b1b9bebc0a0520', 'a270004198eddd9b', 'ad6fa2297bbfa91c', '2c0939fba79df7ad', '4a3ff4b7939ec268', 'a5c9cbbc7e1d69a1', 'dbb7151643a69e0c', 'f1cbd0e2909c8ce7', 'c537c888e9db11fb']; context = [[61, 86], [17, 42], [71, 96], [15, 40], [94, 119], [22, 47], [23, 48], [61, 86], [169, 194], [2, 27], [40, 65], [104, 129], [27, 52], [205, 230], [150, 175], [21, 46]]; loss = 0.032457 low_pass_filter = 10.000
+Epoch 0: | | 359/? [03:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.90, train/activtrain step 360; scene = ['1c87d4883f49da92', '8d75d6f051b8f52e', '2a2e3da0444d2ecd', '9c70b01b66e2fabc', '73d493ff94578c55', 'ffaaeea472f10ee2', '3dc0b3372b2e13dd', '91bab928c4639b09', '6551944a93afc0d0', 'c6fa4e41f75c901c', 'f1a5f8d83353bec9', '8260ddb8f461c1fe', '2b0182cffdc9433b', 'bbaa8e8136f8e184', '6e743856adbecde2', '71fc22ad4a04cf9a']; context = [[23, 48], [120, 145], [74, 99], [133, 158], [15, 40], [51, 76], [96, 121], [44, 69], [16, 41], [41, 66], [6, 31], [102, 127], [123, 148], [36, 61], [32, 57], [0, 25]]; loss = 0.033122 low_pass_filter = 10.000
+Epoch 0: | | 369/? [03:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.70, train/activtrain step 370; scene = ['ad127c962ce28e63', '453abcae519671ba', 'fe1e321d59a67f06', '32e35693a999fb23', '6bef29b74b93e80a', '1b24cf4a586a15e7', '56db1d6fc942bc90', '7194b8d204f4a0b6', '4bbb9fadc993969a', '4e8e3034d0aa307b', '6acaceae77f75500', 'd91a42243deb04e3', 'a1e59c09aca976c4', 'ff87c19446c6325e', '0aa2d2048c581dff', '9e1b58ec292d6690']; context = [[20, 45], [27, 52], [3, 28], [212, 237], [24, 49], [87, 112], [110, 135], [78, 103], [2, 27], [172, 197], [154, 179], [167, 192], [59, 84], [23, 48], [145, 170], [33, 58]]; loss = 0.036092 low_pass_filter = 10.000
+Epoch 0: | | 379/? [03:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.90, train/activtrain step 380; scene = ['e91f5d416c3d2843', '3e80e30faedaa4b6', '674ac829bbf8f50c', '8d5c76362cfbd82e', '1adadfa4ed535f3b', '9037a2323c37f9ef', '102e45db9a58004c', 'eaf4b595a888214f', '9e80f805fd6c7b93', '27abdcbddd0180dd', 'c3062cb8fc7a0efd', 'b46547428ff2b071', '544eb83e4b6b4fc7', '321addf5693a66aa', '662bb59ab9f410a3', 'fe9c6c63360e43c2']; context = [[9, 34], [47, 72], [22, 47], [81, 106], [39, 64], [14, 39], [9, 34], [21, 46], [53, 78], [1, 26], [50, 75], [18, 43], [25, 51], [121, 146], [66, 91], [12, 37]]; loss = 0.034225 low_pass_filter = 10.000
+Epoch 0: | | 389/? [04:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.20, train/activtrain step 390; scene = ['2702020b31c28210', '79a763e5b64e4f45', 'de783427084a7fc8', '3731e5cc943c4ec0', 'cc80de7991d73ab0', 'b71a0cb9f4143a6e', 'bb28a1c09df8a484', '59ae8e2d2504d760', 'cc061ca8d139f499', 'c2162040f6db4d2f', '4fe4fc34f41764a4', '4858dc374c4fca93', '0069fbbde9f77bf8', '45a74c68ea76c91e', '83d4b54aeee30945', '2b58d1bbfac7511a']; context = [[62, 87], [7, 32], [22, 47], [34, 60], [45, 70], [111, 137], [37, 63], [101, 126], [0, 26], [20, 46], [139, 164], [10, 36], [121, 146], [184, 210], [7, 32], [12, 38]]; loss = 0.030549 low_pass_filter = 10.000
+Epoch 0: | | 399/? [04:12<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=21.70, train/activtrain step 400; scene = ['efedd66257d1adf0', '34bd9723166c9978', '48c2b63b452555af', '94323b4cd6a95a9a', '80b044471fd710b5', '8f243590d88e28db', 'b2c65f94460ad653', 'aecfc6c8ebc6c15e', '8839e65c6f6bb394', '1fe4a6141969e60a', '509210a9f0f87e8f', 'fceff078ea39c8b4', '17a43ba9a8843508', 'badfd7edf4b25b37', '771c99720c383982', '74e22e2724cb0a9b']; context = [[92, 118], [13, 39], [47, 72], [154, 180], [29, 54], [75, 100], [97, 122], [58, 84], [3, 29], [42, 68], [1, 27], [5, 31], [18, 43], [240, 265], [21, 46], [228, 254]]; loss = 0.029795 low_pass_filter = 10.000
+Epoch 0: | | 409/? [04:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.80, train/activtrain step 410; scene = ['9fce6892002b07be', '1f4f12476af5c871', '4aef5d4b9287e08a', '8db516061dca4e75', '3b560e3220235444', '78bfcb719521a42d', '5c907b99b4003976', '5b86537af9058e2d', '2db04fecf76095b6', 'c05a15168d4c3332', 'e24323b82d0671c2', 'd2ad156576e078cc', 'aa4938d7f2fd0a1d', 'e4fc6fa4bbd6efa1', 'c05fd148d2da6d26', '72d7ff49071fa801']; context = [[88, 113], [8, 33], [18, 43], [18, 43], [0, 26], [82, 108], [5, 31], [105, 131], [11, 37], [54, 79], [51, 77], [3, 28], [67, 93], [29, 55], [43, 69], [35, 61]]; loss = 0.032722 low_pass_filter = 10.000
+Epoch 0: | | 419/? [04:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/activtrain step 420; scene = ['53b47cb89ee91160', '7220014865edc948', '9296168b518b720b', 'cf14d94f41c6e825', 'd159debd3f3ac5ec', '12fa5b60a2ba9d8f', '64ae75e57c6aa0a4', '430d79082d999336', '6f9088cd9c755fb0', 'c654f15dda47ab5d', '1a0af7635585892a', '3729cab2867e7a06', 'ea51f71d8dc1e7b2', '7e6d320ac85bd57c', '20b2bb20840251c6', '5fcab1686e38f61c']; context = [[94, 119], [223, 248], [26, 51], [13, 38], [179, 205], [57, 83], [136, 161], [20, 46], [78, 104], [9, 34], [22, 48], [12, 37], [28, 53], [28, 54], [88, 114], [54, 80]]; loss = 0.033303 low_pass_filter = 10.000
+Epoch 0: | | 429/? [04:31<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/activtrain step 430; scene = ['1c7d5cf7a1e08139', '82d896f5142ee6dd', '764206404e317c51', '61c9b6540aaa5884', '11b74ef19465ab45', '409b268729c0a86d', 'd1f583b4b527fefe', '6570d802b2f69e4b', 'e46623a7d46b50d6', '12503cac61ce326e', 'adff1244e7025d77', '014d6d0fdfb6393e', 'a8dd4730a65f88fd', '08f56d6e5878317b', '723db63d24c84d1d', '8032cb2f4ac9e342']; context = [[7, 32], [72, 97], [15, 40], [20, 46], [5, 31], [14, 39], [143, 169], [222, 247], [27, 53], [130, 156], [60, 86], [15, 40], [42, 68], [14, 40], [66, 92], [49, 75]]; loss = 0.034991 low_pass_filter = 10.000
+Epoch 0: | | 439/? [04:37<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.60, train/activtrain step 440; scene = ['cee46b2523a45a59', '78f54b16f8204c3a', 'ab964b6b003ae5e8', '3a192914348dbd61', 'b1473420a788c688', '4a43e0185c382de7', '3e5be575ccb0f6dc', '0f8ad14bb4088d81', '4af74f4ff7c54a9b', '31f279e32e497154', 'dc077856d79ff04c', '59689345260b0920', 'c7876e0ce303f492', 'ede1a18c89abe3dd', 'c95f1f846f48d813', '739b8ee920a178e0']; context = [[87, 112], [44, 69], [6, 32], [59, 85], [4, 29], [27, 53], [87, 113], [114, 140], [207, 232], [74, 99], [55, 81], [65, 90], [44, 69], [13, 39], [138, 164], [117, 142]]; loss = 0.028699 low_pass_filter = 10.000
+Epoch 0: | | 449/? [04:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.30, train/activtrain step 450; scene = ['0be2e01e27a683b0', 'a0e4abe253996ea2', '0120521cfa518c34', 'b2a34524405f79ff', 'a1b7ad951995dadd', 'c338cd1e105943ae', '913f87b9648dda52', '3b4d6384abe5561f', '2dd8ae2b71457753', 'f001500643d191d6', '124c9f059bef0478', '23f93bec3ac52e4c', 'f1e8c1b674d290ec', '9bb10fc846b3d2b1', 'fbae7bcc4ca44675', 'ec1dcf652eae675d']; context = [[19, 45], [28, 54], [2, 28], [87, 112], [5, 31], [43, 69], [25, 51], [63, 88], [44, 69], [46, 72], [77, 103], [22, 48], [39, 64], [122, 147], [29, 55], [68, 94]]; loss = 0.037209 low_pass_filter = 10.000
+Epoch 0: | | 459/? [04:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=21.10, train/activtrain step 460; scene = ['22062ed897320134', '8b8f7cd56fb6a696', '11c47219c153c014', '20fa2a9557a949a9', '402071c2b1550820', 'f8a24a1cae5ae861', '591277853eb83777', '71b9b21424e1cc97', '1d4ffe48542eb14b', '6c5d6b6468bc196d', '94f4529096d17f25', '130e2bd2cf4084d7', '7bc09504a215e592', '98fa652433a9a8b7', 'acea865775134a18', '392b692c8c3f4e5f']; context = [[8, 34], [76, 102], [120, 145], [25, 50], [26, 52], [198, 224], [63, 89], [37, 63], [60, 86], [42, 68], [97, 123], [45, 71], [178, 203], [42, 67], [22, 48], [132, 158]]; loss = 0.035752 low_pass_filter = 10.000
+Epoch 0: | | 469/? [04:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=21.70, train/activtrain step 470; scene = ['338d0fb7e58dd4a3', '778eaeaaffc6107d', '9dda63b4544559e9', '34461872e645d034', '0684f42098862b74', '0c7171edef36d44d', 'ebde595b532cf60c', '24649be0dd272ffc', '52e13717e8b9393d', 'ee6e5709a57be759', '466666b6242e3081', 'e4e0a2c744fcabd0', '5eeb2c7cd1bd78f7', '409dc0e5cbdbe442', 'db84572032e69dc0', '395b1c86e35e8d93']; context = [[25, 51], [52, 78], [25, 50], [50, 76], [27, 52], [119, 144], [113, 139], [123, 148], [22, 48], [195, 220], [18, 43], [52, 77], [0, 26], [90, 116], [9, 34], [30, 55]]; loss = 0.029494 low_pass_filter = 10.000
+Epoch 0: | | 479/? [05:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=20.80, train/activtrain step 480; scene = ['a134112256d679ba', 'ea334cb643e07603', '8ccc670b427d277a', '40c5311e3b3accef', '4277d8783b6a046a', '91599919681fac69', 'a01c907f0070d11d', '896854a5d7c5179b', '9af7c151a7ca6d00', '5d14e2fa2974d6df', 'a6161601e3a76aa9', 'caee640343f2dc58', 'b9e8ae6d34748bc1', '496e2618d0fb9556', '1b4bf9a4a458e0df', '9810e48786be9e3d']; context = [[71, 97], [32, 57], [46, 72], [202, 228], [39, 64], [123, 149], [59, 84], [16, 41], [159, 184], [29, 55], [153, 178], [115, 141], [78, 103], [47, 73], [25, 50], [144, 169]]; loss = 0.029844 low_pass_filter = 10.000
+Epoch 0: | | 489/? [05:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.10, train/activtrain step 490; scene = ['d02e6b104723d39a', 'b9b73f46f1e5127a', '1290f3a6418b3dde', 'a535813b18e86b5c', '33e825f8a32b472f', '6a417181b27738ac', '53a2168e29e700dc', '91ac7d7027dcc46d', '57cea8a71cab48cf', 'de8093f620537a4e', '051c6fc0722d51f7', '1318e656455d56d2', 'b86ade7fa8b48715', '289adac94281ccb3', 'b43b9870fd778691', 'ab1ba9f15e793ef9']; context = [[86, 112], [20, 46], [217, 242], [37, 62], [23, 48], [4, 29], [57, 83], [47, 72], [42, 68], [11, 37], [25, 50], [157, 183], [2, 27], [23, 49], [45, 70], [76, 101]]; loss = 0.031785 low_pass_filter = 10.000
+Epoch 0: | | 499/? [05:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=20.10, train/activtrain step 500; scene = ['0f35ceaf227ff187', 'e23f945703f61bfc', '7277bcf45f9b2f21', 'd77fc60af718d2e2', '9bebde67fd28d7c2', '0645a4e5ad941af4', '99271aa47d803a6f', '4dd424a2e0a97403', '81431041a033fbc8', '6883aebc73cdcd2a', 'e3ab34faf834f40f', '4986da6c3f01c2bb', '33733a6eb9850264', '57a8005cadd17369', '63c3f51245b29666', '25c60ef8ca347ede']; context = [[4, 29], [4, 29], [131, 156], [185, 211], [59, 84], [78, 103], [171, 196], [95, 121], [52, 78], [153, 179], [66, 92], [74, 100], [160, 185], [150, 175], [59, 85], [53, 78]]; loss = 0.031696 low_pass_filter = 10.000
+Epoch 0: | | 509/? [05:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.30, train/activtrain step 510; scene = ['a5ec396329b37a88', 'dc02e89f277cc130', '9af18a1c4c45a179', 'd2443f80e34394ff', '1a7af026101df102', 'ff70172dd4ad43ec', '11dc92ba5c0e1ac3', 'bb0c96ae5026135d', 'a62bd02a1223b0e5', '625ef197fa165c4a', 'c2bf5ee569ba3681', 'a33838d396af29c0', 'c911c92ac370270a', '347f4e7f9f627a12', '5450eb5614d8af42', 'aa2ee5c4626a6c43']; context = [[1, 26], [43, 69], [75, 101], [21, 46], [6, 32], [95, 120], [2, 28], [31, 56], [21, 46], [4, 30], [39, 64], [94, 119], [175, 200], [80, 106], [9, 34], [47, 72]]; loss = 0.030165 low_pass_filter = 10.000
+Epoch 0: | | 519/? [05:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.90, train/activtrain step 520; scene = ['59e7800dec3fa9f5', '3ad7fc9a83e3e883', 'a5bcf7c72eb10c48', '89c03784240911c9', 'a24b9835a33fb46e', '4da0f9a3b1ca2560', '19bd0f9c48f069eb', 'c8e5ea381a7de099', '521aa01f117a1f3d', 'a9a1efdde077861a', '009e573e59c8c393', 'fda481eb3ffc890e', '701c95afe128e0d0', '586e189a8bb53cd8', '4c952c27612a3ac7', '997656bdb430ad43']; context = [[13, 38], [0, 25], [130, 156], [71, 97], [88, 113], [28, 53], [42, 68], [1, 27], [66, 91], [26, 52], [115, 140], [47, 72], [74, 99], [75, 100], [39, 64], [21, 46]]; loss = 0.030367 low_pass_filter = 10.000
+Epoch 0: | | 529/? [05:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/activtrain step 530; scene = ['d7e416701d1c4272', 'b9076a13bb94860c', '15536452f9b95c1f', '532786fdf5fd727d', 'a8abd4eeea08e1ad', '30bdb9819e21fbd1', 'b1aa2a14c16deaa1', 'b6974cc96a02e9e6', '05efd1fc549ed5f2', '12adbd00ee2b3fcc', 'a48e4e90b76cc3a3', '4eb66b49aeb1d641', '7043e8afce176c8c', '916572369a42b51b', '4e69d635ba8e495f', '12a8561544c97948']; context = [[86, 111], [26, 52], [179, 204], [12, 37], [107, 133], [84, 109], [65, 91], [18, 44], [106, 132], [12, 38], [132, 157], [19, 44], [51, 77], [233, 259], [4, 29], [108, 133]]; loss = 0.027465 low_pass_filter = 10.000
+Epoch 0: | | 539/? [05:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.60, train/activtrain step 540; scene = ['35e2e0c67e738b87', '605c98b35d15551d', 'e9b9ad20889455df', '73df004467108123', '41d454a6a4ccc3c6', 'ab03c2979623d6cb', 'c1628e1f1e308fb6', '5fc14076d0059d8a', 'c3f1d0f6da5ce21d', '3985b66cc91776eb', '36d957c25ce3a65d', '1a402532663d05ad', '4af1f08d7b5d1523', '837d2467631c6e6a', '6545dab9a4699ef0', '7eb0dffcddc1722c']; context = [[80, 106], [121, 146], [22, 48], [0, 25], [136, 162], [72, 97], [7, 32], [114, 139], [217, 242], [71, 96], [189, 214], [144, 169], [78, 104], [66, 92], [43, 69], [60, 85]]; loss = 0.030092 low_pass_filter = 10.000
+Epoch 0: | | 549/? [05:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.20, train/activtrain step 550; scene = ['ab8e80684547f15c', '8de0c4ae0c5bb988', 'aee9e4231eda0fdb', '59ee32c2dccc3dba', 'b210bb589468fb4d', 'dc5f38f005c3ebd6', 'e2ce81d901cdd6c7', '08527853c5cf3f4d', 'e09c7a12828e1b49', 'b113c611f9029c49', '340688cb63ead6f6', 'bae2d6272431c8eb', '7ffd821c6ca83444', '05d0fcfbe36d261f', '50c8b8855897d03a', '5e68140473b7fb10']; context = [[165, 191], [45, 71], [80, 106], [146, 171], [11, 37], [80, 105], [29, 54], [1, 26], [100, 125], [20, 45], [48, 73], [145, 170], [6, 31], [37, 62], [47, 72], [12, 37]]; loss = 0.027599 low_pass_filter = 10.000
+Epoch 0: | | 559/? [05:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.00, train/activtrain step 560; scene = ['60a584cf224950a4', 'c38835db6bec2825', 'b86f88d0d21318cd', 'c0e9d9f4f60169e0', '3ec1eeba0cc084af', 'f8ee5a395e856a9d', 'c532c6f1dbe975b7', '34037b62eef60172', 'b5f39f444ec03cee', '7c6d160c26de6887', '0f0bbb6510ca3018', '99e9f09b456ef23e', 'c49bd62c183dd925', 'd066040e500bd58b', '87c9128b943f1b3f', 'b07a54eda9cdaccb']; context = [[46, 72], [81, 106], [52, 78], [21, 46], [69, 94], [4, 29], [14, 39], [29, 55], [1, 27], [111, 137], [33, 58], [22, 47], [29, 55], [14, 40], [26, 51], [74, 99]]; loss = 0.028532 low_pass_filter = 10.000
+Epoch 0: | | 569/? [05:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/activtrain step 570; scene = ['43cd8bfd1bada381', '2c3bc0c318fa3771', '9a2d4c60e9585ed7', 'b7873e1ebdb5721f', 'ea2343e4a390441b', '95cd0bad15de18a9', 'aa801c6cfb72fdf8', '51e99330cbe8b36a', 'cb3bac70297d52c0', '04de1a4925ce16a7', 'c2648243586329ba', '699dc0e0cbd1d2d5', 'ff4fb430b2108b32', '6dd73ce2d44e63de', 'd73dae9e6ffe86dc', 'f0db130b452071e8']; context = [[0, 25], [52, 78], [132, 158], [51, 77], [37, 62], [77, 102], [14, 39], [38, 64], [153, 178], [64, 89], [30, 56], [202, 228], [12, 38], [84, 109], [29, 54], [3, 28]]; loss = 0.033350 low_pass_filter = 10.000
+Epoch 0: | | 579/? [06:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/activtrain step 580; scene = ['503b736751827a0b', 'a5b3faa684a1553a', 'cbae7b8786bec1e4', '31c1855b8ad30220', 'a772b5f2e834d70d', '162daefc4ddae544', '363ee2c7afc81e84', '7dcdecb79cbb1334', 'e4d86068c95e0922', '4ec29bd9dfd30c2e', 'b0f5b20c5724e592', '31411305ea3662c6', 'fe8c395dd70d4844', '3bee0daad1cc6c0b', '9a89163b62f0a058', 'b9277bf4125499a0']; context = [[10, 35], [26, 52], [185, 210], [91, 116], [68, 94], [20, 45], [100, 125], [54, 80], [176, 201], [10, 36], [72, 98], [144, 169], [104, 130], [153, 178], [166, 191], [41, 67]]; loss = 0.027790 low_pass_filter = 10.000
+Epoch 0: | | 589/? [06:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.80, train/activtrain step 590; scene = ['bd006cf0a751d205', '4d48befa72535f0a', '2147da0f465a3566', '8b12ac02ddbe40cb', '8481bc2172478625', 'e454026f5348630e', '201e44ad015728c7', '9029d8d8f6f0e98a', '307049b9515d7ee6', '95b1deb2d645f275', '3c418948bc7076cb', '28cab3659a1510a8', '6666ae9375b1656e', 'fd4d668123665d1f', '46d11fdef3f136d3', '3323fc8b3b6bccbc']; context = [[70, 95], [87, 113], [23, 49], [11, 37], [82, 107], [46, 71], [132, 157], [112, 137], [10, 36], [89, 114], [101, 127], [42, 67], [3, 29], [154, 180], [112, 137], [10, 36]]; loss = 0.032655 low_pass_filter = 10.000
+Epoch 0: | | 599/? [06:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.90, train/activtrain step 600; scene = ['80f5da17b4119bbf', '93416bc86e84f4c5', '91722542cd063407', '93e09aeb0a7c54d4', '63f6e847b2e2a2e7', 'a7957a1e2b7ad909', '1045f4f8fd6bdd09', '982da008194b287c', '8d758914077e5926', '6cee4547c99f248b', '4a0f95a3db913b56', 'de8ef03bc3c49125', 'be6ab5e68b93a77e', '4b2e9dd96e4d8542', '8cbb325cdb64a928', '8e129a4801a9f632']; context = [[247, 272], [90, 116], [71, 96], [6, 31], [136, 162], [170, 196], [35, 61], [3, 28], [105, 130], [15, 40], [46, 72], [11, 36], [21, 46], [48, 74], [0, 26], [8, 34]]; loss = 0.027938 low_pass_filter = 10.000
+Epoch 0: | | 609/? [06:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.40, train/activtrain step 610; scene = ['e53ec34eab835d44', '180608332f0b1b2a', '2225123ef31a93e4', 'accfed2fa6ff849d', '75e5ba7e7fb64fc0', 'd0aafe6b7593a8c6', '89b54f912927a60b', 'ac5df5f432218bc1', 'e0b48fb2ddbbe96b', '430ed582e79c5bab', 'dbc96a6d523c159f', '61d8e6311f28fae8', '36df4bc97cbd94f0', '179fbbbcc3e6e195', '448e12a47b369490', '57a522ee28c2896f']; context = [[2, 28], [100, 125], [133, 159], [52, 78], [90, 115], [79, 105], [79, 104], [22, 47], [59, 84], [95, 121], [163, 189], [90, 115], [27, 52], [30, 55], [47, 73], [65, 90]]; loss = 0.029715 low_pass_filter = 10.000
+Epoch 0: | | 619/? [06:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.30, train/activtrain step 620; scene = ['478386221245bac9', '04c740af3de5ae4c', 'bea0e295ee56d42c', '986d6bdd6646acbf', 'bd0f82f93d5693ca', '52aa7676145d5273', '56d0236a2c56b534', 'd1300efa0f9232ac', 'f6a68923ac68bc4a', 'f8f0491a2268ee5e', '6e637d0641b0d845', 'c956b44c983826de', '0abbdaad60ccd753', '27cf7ba27eed1eae', '14b48961c5e1364c', '1fe3e0dfb0bebffe']; context = [[49, 75], [28, 53], [59, 84], [44, 69], [97, 122], [47, 72], [63, 89], [37, 63], [65, 91], [10, 36], [93, 119], [146, 171], [0, 26], [17, 43], [67, 93], [4, 30]]; loss = 0.027967 low_pass_filter = 10.000
+Epoch 0: | | 629/? [06:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/activtrain step 630; scene = ['53e532801bd44085', '69fc02421193302a', 'a5822c29e761ba5a', 'af7f730cb84dc631', 'f344839ca7c971b7', 'd3dddf816450d1d0', '59a2ea0122aa4591', '030d035ba47fecc3', '41c2debbaa89e15f', '0e9005332bd00350', 'f23d671496254ef5', 'f12268aa63c53837', 'd38fcceec78870bb', '458d2a1fcd766d41', 'd2753ca4cb61778d', '33c23461406aadc8']; context = [[31, 57], [91, 116], [18, 44], [155, 181], [104, 130], [81, 106], [88, 114], [30, 55], [115, 141], [29, 55], [106, 131], [44, 69], [8, 34], [2, 28], [4, 29], [30, 55]]; loss = 0.028318 low_pass_filter = 10.000
+Epoch 0: | | 639/? [06:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/activtrain step 640; scene = ['7faf1c350d3f1f12', '5746d03325bf70d3', 'a6dbaee66b58a994', '2289780f7fdb5091', '35a67ce0f0a56dea', '4e11b2499f900054', 'b97d670a564c4f01', '5704ff301c085eb6', 'bbb0e9da2dddcfce', '33847bd0ad0529bd', '2ff050f5f09529d0', 'bd70de468feeaf26', '7b3ed343513dc1ba', 'ad1b9085098baa13', '8fa1f01dcf1e67ec', '874157e6587dd60c']; context = [[27, 53], [118, 144], [6, 31], [82, 107], [2, 27], [47, 73], [60, 85], [144, 169], [22, 48], [2, 27], [1, 26], [20, 46], [0, 25], [0, 26], [46, 72], [13, 38]]; loss = 0.027840 low_pass_filter = 10.000
+Epoch 0: | | 649/? [06:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/activtrain step 650; scene = ['2c0f63521c7e23c6', 'd11dfc2d4c7f412c', '26efd6cf15fcdd57', 'ed5029418049d85e', '600470a337c98190', 'd8eb3a556fde4131', '65134afb11a85252', 'a00a4bace03ba9b9', 'fd3490bd670b5b80', '95281743bb229945', '54f68167ea012743', 'aadfba62f23cd2d5', '67d059492bf13057', 'bebcc76384ce0054', '5f2d539c6dcc0a82', '7abd2cf015e33118']; context = [[7, 32], [10, 36], [32, 58], [73, 98], [179, 205], [14, 39], [46, 72], [4, 30], [9, 34], [24, 49], [59, 85], [24, 49], [86, 112], [52, 78], [158, 183], [48, 73]]; loss = 0.026688 low_pass_filter = 10.000
+Epoch 0: | | 659/? [06:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/activtrain step 660; scene = ['a9272405ceec0be2', 'd77284dc9b9d1031', 'c270572a7f5ea828', 'ee28455c2e76ef79', 'bdb2281a7c9f1ce5', 'f14721fab585c585', 'd011c2b2ac6ccc0d', '4412131879034bc2', '460d2009e8c97d4e', 'afd2942e07cd0a89', '3281beb44b21ae80', '874e813188a281e4', '175b05b368c133e7', '5c399d154f879440', '29ad06f3162b2bc1', '35fe94a6f4b752b3']; context = [[26, 51], [14, 39], [102, 127], [182, 208], [16, 41], [43, 68], [56, 82], [29, 54], [103, 128], [22, 47], [64, 90], [75, 100], [26, 51], [21, 46], [27, 52], [5, 31]]; loss = 0.027197 low_pass_filter = 10.000
+Epoch 0: | | 669/? [07:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/activtrain step 670; scene = ['9a94e71cea472790', 'bea3977d3073b2d2', '276de289278edacc', '0304b78786c9cc4f', '56f957c4bc88fa94', '78ca16a59dd41338', 'bedc784fb1794f8c', 'a61c8d77fdac60ca', 'f00a77b3b162ac4b', '4f0b9b05ed188565', '1fe4a6141969e60a', 'badfd7edf4b25b37', '856ff8cdb67ce060', '771c99720c383982', '42b2dabdc5ea4d93', 'cf0f25dfe419c0e5']; context = [[40, 65], [82, 107], [7, 33], [90, 116], [26, 51], [191, 217], [40, 66], [220, 246], [33, 59], [46, 71], [13, 38], [88, 113], [219, 245], [26, 52], [82, 107], [69, 95]]; loss = 0.027061 low_pass_filter = 10.000
+Epoch 0: | | 679/? [07:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.80, train/activtrain step 680; scene = ['dbd909b37336a7d4', 'a5a9c7400a09168b', '91ea7e8b11190fdc', '575979a8750fbd67', 'b09331320276c019', '4a3fd9a21123f197', '3ba6e1145c8b37a9', '839b542ef0c0696e', '02a36358f7cff958', 'c0e29365bc5f76fa', '5b4ae8c5f7349c17', 'df607878c3beffe9', 'f62a48672f8acac7', '97568a7f147a654f', 'f63942420154ff92', '632384f4c6834aea']; context = [[26, 52], [14, 40], [19, 45], [23, 49], [28, 53], [11, 37], [28, 54], [57, 83], [91, 117], [11, 37], [109, 134], [2, 27], [17, 42], [9, 35], [224, 249], [105, 131]]; loss = 0.025646 low_pass_filter = 10.000
+Epoch 0: | | 689/? [07:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.70, train/activtrain step 690; scene = ['668011916dfc9762', '6e23ea0adefdcdfe', '0fef731ee5f47c37', '8d45251c07bebb7b', 'ef8353177113530f', '400098a7ab312bdc', '4f2295416524f95e', 'dc48281d021ea939', 'c61d93b01fd6e377', '17f8f8682a86f190', '6a089a1af0cd47d3', '8044c8eaddd8149d', '7665ff641f430aa5', '882c2c3ccb2f06c3', 'e41c98366fe40b7b', '21e7ab7fe9d8753b']; context = [[15, 41], [53, 78], [8, 34], [36, 62], [52, 77], [51, 77], [19, 44], [69, 94], [38, 64], [128, 153], [6, 31], [91, 116], [124, 149], [33, 58], [27, 53], [48, 73]]; loss = 0.030686 low_pass_filter = 10.000
+Epoch 0: | | 699/? [07:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.70, train/activtrain step 700; scene = ['e9f0dce281fc1ef2', '7eba39d96769f1f3', '92cffae82bfb22ce', 'e1eaaeb084992db2', 'a987dc34de0f7d8b', '8ca0262e75fd9f8b', 'dd0418fa73c25b1e', 'fbfb9866efe5bf64', 'dd409b33f3f5c29b', '644baf494fab7ff7', 'd81f183e644ae7fe', '88b43de931cc94ac', 'fad05546fba5dace', 'bbf7acd688e96278', 'dca4d9700ae80a91', '6ac14f7de01b3021']; context = [[9, 35], [158, 183], [29, 55], [89, 114], [42, 67], [25, 51], [19, 45], [45, 70], [174, 200], [64, 90], [3, 28], [43, 68], [24, 50], [3, 28], [2, 28], [40, 66]]; loss = 0.027719 low_pass_filter = 10.000
+Epoch 0: | | 709/? [07:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=20.80, train/activtrain step 710; scene = ['7a1a5b280aeed1d1', '3ca192a6f7bd3055', 'b87f3bd2e5b947d9', 'b08fff272e1c806e', 'e40db329b18cfe34', '96405403953c2a44', '9d9e27f41396c20c', 'cb7ba36fbae70c01', '721707ada01bdffe', 'aa9daba10b590900', '0209fa7ef8a06022', '2f0a6c64c44f9979', '89ad52b52eb4ba60', '885587f42ee4e11e', '88b8bb15bd256558', '3d928d1613742585']; context = [[195, 221], [4, 30], [164, 190], [21, 47], [171, 197], [13, 39], [68, 94], [44, 70], [99, 124], [8, 33], [4, 29], [121, 146], [10, 35], [13, 38], [9, 34], [13, 39]]; loss = 0.026513 low_pass_filter = 10.000
+Epoch 0: | | 719/? [07:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.80, train/activtrain step 720; scene = ['ee3c9edbf6eedea9', '8a39c6b779b31dd4', '68320cab3a271ea3', '43544bc50a0d09ee', '494a0bebf7e6139e', '8a37947c1ad8c097', 'b20f139496853291', '14a700b34bfafc6f', 'fe1fe887ee20d877', '10491baf9035e557', '651e203d4e42216f', 'a2b08d5c241d54ec', '3c1022cc42279d6b', '218723a8059f18ac', '9f4b04caeaccc100', '26197c5e7d9e117e']; context = [[17, 43], [4, 30], [112, 137], [30, 55], [47, 72], [10, 36], [32, 57], [15, 40], [60, 85], [22, 47], [58, 83], [5, 30], [0, 25], [6, 32], [1, 26], [53, 78]]; loss = 0.028818 low_pass_filter = 10.000
+Epoch 0: | | 729/? [07:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/activtrain step 730; scene = ['a57232a4ef2ec923', '564a9a401e37c50b', '53e05632cb9141bd', 'df869fb963216261', '6744c1cf4e4dee91', '509496bad5a12f79', '06917bbe38912ea3', 'e92e4346a6224492', '9a725436379352e6', '5e55a38946593552', 'c5603a5e8498a827', 'f5338d00f9c021a3', '2cc2af36e6bb9fed', '547ebf48151eef4d', 'f603fb7c184a9103', '31304e5e03a0a335']; context = [[54, 79], [23, 50], [31, 58], [8, 33], [199, 225], [232, 259], [162, 188], [2, 28], [38, 65], [53, 79], [32, 58], [89, 115], [7, 32], [59, 85], [36, 63], [123, 148]]; loss = 0.026620 low_pass_filter = 10.000
+Epoch 0: | | 739/? [07:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/activtrain step 740; scene = ['f8ff67683c2323b8', '070e03b0709a0c7a', 'dfb585600cfa6d6e', '8062e068d364879e', 'bbb9d583807930d7', 'e68962be9d5fa78b', 'c098a117d37c1b11', '75d62d0707d1240e', 'c8b2e4d3f9fe541a', '67353f28c5452f17', 'd4aac0088971ad5d', 'a39b07c625f4fbaf', '086fc9b0951ac9ff', '42e11bb83f385317', 'adaa895408584f36', 'f52ea4df10c6472b']; context = [[122, 148], [88, 115], [89, 115], [92, 117], [25, 50], [46, 71], [26, 53], [137, 164], [60, 87], [117, 144], [1, 28], [80, 105], [103, 130], [56, 81], [150, 175], [0, 27]]; loss = 0.026762 low_pass_filter = 10.000
+Epoch 0: | | 749/? [07:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/activtrain step 750; scene = ['3ca9f2ea058b7220', '032961ac14c9b53a', '90a599cbae3f7f49', '4be99782bb201a87', 'd5a3940bb6a3363e', '31f802c4d94b2a8c', 'fb46a820975c2449', '17305b0b98053dee', '9c437a1ff26fc63d', '4bf92848b7ed1bcd', 'df21bcc5b49bc2bd', '3de485eddabc0ae8', '39d39ebdd5959a48', 'f7fd59b61fd90975', '77cba126c83354bb', '23997b17e26ba688']; context = [[26, 53], [15, 40], [100, 126], [24, 49], [134, 159], [84, 109], [99, 126], [227, 252], [142, 169], [15, 41], [18, 45], [11, 36], [39, 65], [44, 70], [2, 28], [17, 42]]; loss = 0.028888 low_pass_filter = 10.000
+Epoch 0: | | 759/? [07:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.20, train/activtrain step 760; scene = ['f00a0701904b2128', 'c4bfdf6f3a6c774d', 'baaba9c7644ef952', '55671e2db4657b00', 'b4bbab891a72ff1f', '390c8df752d7b22e', '756790007006f209', '05846e2bbc1ea5e0', '60f92bcb07109c4a', '0cd0baf1a9e3847a', 'b3e02abe2e692d4f', 'f35b530672b42ba5', 'f8e32278bb006569', '693db81439adb0d3', '65410d22f0d980f7', 'fd8dec4cd31f64b8']; context = [[0, 27], [35, 60], [23, 49], [153, 179], [113, 139], [70, 95], [14, 40], [63, 90], [9, 35], [13, 39], [1, 27], [42, 67], [96, 121], [223, 249], [169, 196], [6, 31]]; loss = 0.027290 low_pass_filter = 10.000
+Epoch 0: | | 769/? [08:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/activtrain step 770; scene = ['ab6103c00d052f04', '7f4c7bd5a9e3cddd', '331af0d1363e80b3', '4d5af03e77b032ba', '95307cda066e2664', '1dbd139488ac84b3', '8b7378a3996ee778', '26b8065adc153c13', '2a4fe9d5f507d831', '548ad1b923e633d8', '92a1f3ab5dbe634e', '4e437d66420067c2', 'c3165a339b9a09e5', '4e4985c5a76ac0e5', '5ac80497fad02a9a', 'a0f148d59958f742']; context = [[36, 62], [53, 79], [46, 71], [61, 88], [202, 229], [5, 32], [102, 129], [1, 27], [67, 92], [28, 54], [2, 29], [30, 55], [101, 126], [71, 97], [85, 110], [38, 63]]; loss = 0.026666 low_pass_filter = 10.000
+Epoch 0: | | 779/? [08:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/activtrain step 780; scene = ['1d80884a4b201f28', '1fba7a1a16edf7db', '2bf2121510674b04', '04c4c5a25b4ccb21', '17d74baebc458fb9', 'edf8fdfe10fb893c', '77a0fdc6389de36b', '90686fbf5ca9bd0a', '232da3c3c432bcf5', '2804817967c9ab8b', '34769f82ff4b286c', '4df2a98cf2678d8c', '2eacf9db1843546b', 'c1f32a7a7ec37d39', '6187332401a328eb', 'c495f01f294333ee']; context = [[23, 48], [107, 132], [107, 132], [22, 47], [58, 85], [206, 232], [46, 71], [40, 67], [86, 113], [14, 40], [21, 48], [7, 33], [13, 39], [22, 49], [164, 189], [23, 48]]; loss = 0.028937 low_pass_filter = 10.000
+Epoch 0: | | 789/? [08:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.70, train/activtrain step 790; scene = ['0cbf1454a4391523', 'f3b24cf238154fc0', '9bb0448e7cb2f733', 'dff181c503e5c202', 'f0b0c2b2fa790b94', '4b30f3b820875a1a', '4a218ddfc3698ca8', 'bc34ecfb3c809d97', 'bca757afa6825a39', '75f7df7e153bb467', '51ba892c38152086', '84335596c296225a', 'c121bf6c2929cfe1', '1e796863c062efaa', '995f249ace489797', 'edc39c2e54f4dd24']; context = [[124, 149], [9, 35], [28, 53], [108, 133], [12, 37], [28, 53], [16, 43], [67, 92], [13, 38], [50, 76], [69, 94], [196, 223], [30, 55], [13, 40], [10, 36], [12, 38]]; loss = 0.026342 low_pass_filter = 10.000
+Epoch 0: | | 799/? [08:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/activtrain step 800; scene = ['b1818f89f71d7ede', '1dc0f9200778b6ff', '8bb9dfb202abb4c0', 'd8cd8e74983c2ed5', '9c8a304979cbc7da', 'f00e57d3e757b12e', '96ba226de3006d1b', '49cdcdc8c9fe71f2', 'b7e287b139583003', '04221c6266b4fbb5', '11db2e14d64c1b42', '51f80353f6008c4f', '564437b001139667', '5b7e5ce68733bcc4', '7850797441a57de9', '12048355d2052d78']; context = [[46, 73], [31, 56], [109, 135], [97, 122], [181, 207], [130, 156], [13, 40], [12, 38], [105, 132], [61, 88], [114, 139], [110, 135], [118, 143], [110, 137], [42, 68], [46, 71]]; loss = 0.026382 low_pass_filter = 10.000
+Epoch 0: | | 809/? [08:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=21.40, train/activtrain step 810; scene = ['f841958b4f3ea9b6', 'b5a711e9d6e9f7d2', '81239a4d26b89db3', '0c55d99325327032', '0fa3084a8ad67f81', '1766b288f284c234', '792c3b369bcd98f6', '600aa1de0c963a27', '7d81b28b7afe5738', '6b93a9fa1ce08986', '71843154fd778989', '6e024fbe00be60cb', '1cacfe69c509febf', '2765f5d2bd45f599', '591324b1a786d91e', '04740510b6d96720']; context = [[36, 61], [5, 32], [74, 99], [35, 61], [59, 86], [137, 162], [40, 66], [1, 27], [97, 123], [36, 62], [8, 35], [55, 80], [29, 55], [36, 61], [67, 92], [35, 62]]; loss = 0.028988 low_pass_filter = 10.000
+Epoch 0: | | 819/? [08:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.30, train/activtrain step 820; scene = ['a0cd80f2815b8716', 'e649e3010fab6d40', '3f4cacc2a74df04e', 'b887116c5ac0c3ae', '3bdacd796a82e581', '1631053dcc53cb87', 'b555afebfcce407c', '2405f8024d2d8efa', 'b31dae3a8edd6af8', 'b12f99acac988ca4', '6df08dcd841c4b9b', 'fadf8681f71b6225', '2a16f86d8c47f471', '082c57765925eb2b', '02c39509dcd964e8', '9de33e466a02ea23']; context = [[92, 117], [61, 87], [5, 30], [3, 28], [85, 112], [19, 46], [43, 69], [55, 80], [38, 63], [60, 87], [35, 62], [41, 67], [6, 31], [7, 32], [97, 124], [143, 168]]; loss = 0.028591 low_pass_filter = 10.000
+Epoch 0: | | 829/? [08:39<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/activtrain step 830; scene = ['0841dc352b358629', '9308b0309e860d89', '804c26118696da0b', '6f29d2f4950be336', 'de40426a00dab49a', '546bf84eac7404e8', '11730d25b6f6361b', 'f1f5e26cb49fd2a5', '15cd8f43f173d0e3', 'e1fbf58a49076d36', '2d4b0725e43dc211', 'c2923fa433879e60', 'cae0139a521aa052', '08127a499408b79e', '591bf6ac3800ca21', '811e5be9bf8e26ca']; context = [[102, 128], [51, 76], [31, 57], [2, 27], [16, 42], [5, 32], [101, 128], [0, 25], [3, 29], [3, 29], [66, 93], [175, 200], [20, 46], [21, 46], [5, 30], [205, 232]]; loss = 0.031693 low_pass_filter = 10.000
+Epoch 0: | | 839/? [08:45<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=22.20, train/activtrain step 840; scene = ['f7d5f1a8df9d773f', 'e426679594077686', '1d954e607bc2a8f6', '2290ecbf83cd253e', '9c7c42260596ac3d', '0482811bdc4713a5', '5e78458cfb6b8150', '61327ef41f3b72f1', '74e1a98290b34a81', 'ecc15d661d8dbe9f', 'cfec50872cec53bc', '6a4fe529a00082f2', '6a6beb90616e4f37', '42c7147c591f47cb', 'b05e5158361732c9', '5f22fdf235746488']; context = [[21, 47], [55, 81], [27, 54], [42, 67], [21, 47], [117, 144], [37, 62], [0, 26], [196, 222], [210, 236], [35, 61], [140, 167], [69, 96], [3, 28], [142, 168], [20, 46]]; loss = 0.026651 low_pass_filter = 10.000
+Epoch 0: | | 849/? [08:52<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/activtrain step 850; scene = ['ceba0c9064ef2075', 'f249fdd072d2d35d', '93f0ba6797c67f20', '9122be71240bb162', '9168f179a84dcc90', '2d5886bd890632c6', '7e72a2e96b39c149', '2ca7a809dda33d8e', 'c0ee12e05d7032af', '01d4d24e9f33aa8f', '0cf6039feb87cb09', '825d0b6a944ea867', 'b811e125c84adff1', '3ffc4b7822281c60', '18711838050bef0d', 'fcfd650da12e293f']; context = [[107, 133], [0, 27], [28, 54], [155, 182], [9, 36], [244, 269], [33, 58], [149, 176], [45, 72], [58, 84], [62, 89], [14, 39], [56, 83], [25, 50], [164, 190], [155, 182]]; loss = 0.026379 low_pass_filter = 10.000
+Epoch 0: | | 859/? [08:58<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=22.30, train/activtrain step 860; scene = ['a221a85eb7d833b1', '8985d94d0dd98a65', 'dbf748364163182e', 'd5c1933c67b49875', 'f73708f8f2c1fcc0', '97133598e9144794', '4c4fce2df53535d6', 'ac1e985cf3a2df12', 'ca90cf157ecaadfe', 'c8b8300236a7220a', 'faaa1fa7767acf25', '0ab79d1b1d783e01', 'a7621aea5c101536', '7f11c968deb89da5', 'cc039d2dde109d6f', 'a06b2802ca08da31']; context = [[84, 111], [41, 66], [101, 126], [133, 160], [38, 65], [97, 122], [65, 92], [39, 66], [105, 131], [12, 39], [0, 26], [5, 30], [6, 32], [251, 277], [85, 112], [67, 92]]; loss = 0.025463 low_pass_filter = 10.000
+Epoch 0: | | 869/? [09:04<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=20.40, train/activtrain step 870; scene = ['96fcce02a7674e02', '9a9367ff87294587', 'aaa8dfa7e8498bd9', '5019925808a59723', 'f5934f621b0a002a', 'db77e4c30e954d3f', '23c177f84829d2a6', 'ecc88f03e2e5ef81', 'fb331a491ca2e5e0', '1a2ea561c9c8f419', '3a13e56691c8396e', 'bc67854fca5cdac2', '59e04cb072686a97', '31ba0028326b8b17', '82b8b4c5e983729f', '1b8abd07e10f4e79']; context = [[241, 268], [48, 75], [39, 65], [245, 271], [126, 151], [105, 131], [204, 231], [241, 268], [3, 28], [8, 35], [29, 56], [5, 31], [167, 192], [102, 128], [77, 103], [69, 96]]; loss = 0.026722 low_pass_filter = 10.000
+Epoch 0: | | 879/? [09:10<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=21.80, train/activtrain step 880; scene = ['5e70f8dc0da2945f', '4b7302601da9f913', '6f8ab470e569eced', '4886ce15c821b292', 'a30a83cc257714b2', '774d16d7b7d3ab87', 'c279649ebcdbd4ac', 'e1b0771ca0e3df03', '191f33c96812c34d', '43668ae8f0e517be', '176f7bab982f3aa4', 'e41818c1a640f355', '3670ced044c09f1c', '16e752a0b2952804', '37311e860b1ef72c', 'de5195b1d4b5e650']; context = [[36, 63], [161, 187], [20, 45], [15, 40], [12, 38], [69, 96], [22, 47], [67, 93], [46, 71], [56, 83], [215, 242], [175, 202], [9, 35], [192, 218], [197, 222], [187, 213]]; loss = 0.024901 low_pass_filter = 10.000
+Epoch 0: | | 889/? [09:16<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=22.30, train/activtrain step 890; scene = ['b41d3898f57085e3', '1182579e7ca4ef88', 'e7b0248022eae778', 'b8e91cbe57d886af', 'a308376472392fc6', '011fbca4c333495f', 'c38816ffe6b2c633', '2598b88b7b7d2119', '683c969b32f1b4b6', '1fefe15b477db1e5', '35d9cc4d7e5487a1', 'e5537547dd598187', '32261dd2941cfcae', 'c0e387d3a6285a32', '0cb47bf3e9ed3aa5', 'e55496b6c4f860e5']; context = [[181, 208], [60, 86], [0, 27], [20, 46], [9, 34], [46, 73], [152, 179], [26, 53], [120, 147], [146, 172], [46, 73], [27, 54], [68, 94], [40, 67], [36, 61], [18, 45]]; loss = 0.027453 low_pass_filter = 10.000
+Epoch 0: | | 899/? [09:23<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=21.90, train/activtrain step 900; scene = ['d44eb5d03836bfa8', 'd312027b19525a5a', 'ddabc74cbdf2849b', '72040346a65ca209', '06f384602bc7e787', 'de2ae796f06043da', '51b04fd9435b6853', '74b69334da4939e2', '7257497d7ddefa3f', 'da0f564e5210d09f', 'fb862259dcc8a0aa', '8eb77501b906faf0', '047b9960d19e3c60', '0492445f09a9bb4b', 'd7699c99c299376f', '87dcad4e125ff354']; context = [[0, 25], [26, 53], [6, 32], [242, 267], [77, 104], [53, 79], [61, 87], [48, 75], [125, 151], [57, 84], [41, 68], [56, 82], [216, 242], [213, 238], [90, 115], [160, 185]]; loss = 0.023586 low_pass_filter = 10.000
+Epoch 0: | | 909/? [09:29<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=21.80, train/activtrain step 910; scene = ['af5bc2b9cb5f4dd5', '70e06d0ca9ba12d7', '7cae2e82f768bd58', '75d09be60110e2cd', '8c6613326c9bb024', 'd20cec74d90a31b2', '28cc23ff81e8c7cf', '3c8b0bb757a118b9', '1ffe77b1a0efd127', '7fa1e8ca5ff1aa0a', 'c201594babef23f6', '4e5a24edeab27bde', '0081cfd790d7ad74', 'c8c1e40f50b1ef9d', 'e73b93ff29fb6e8c', '8d19f2c27abf126c']; context = [[0, 27], [1, 27], [133, 158], [23, 50], [79, 104], [51, 78], [181, 206], [37, 62], [13, 39], [48, 74], [3, 29], [17, 43], [25, 51], [63, 89], [53, 80], [68, 93]]; loss = 0.025234 low_pass_filter = 10.000
+Epoch 0: | | 919/? [09:35<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/activtrain step 920; scene = ['d5788ecb38219348', '75840717ecdc2325', 'afb5096c52233388', '706571cd6a9c16a4', 'd7798982569c2714', '334f192d01193f36', '6f3b47cc1831979d', '81124fd6dfc66253', '6131f8c669e8060f', '2b91070adf840bcb', '89d2c2d9e3aee457', '21691784e9e84e35', 'ded38d3ae876e8dc', '0a1aa875aca3711d', '9005d1006b63b2ab', 'b4c2e12ad3d75efd']; context = [[231, 257], [7, 33], [31, 56], [7, 34], [72, 97], [49, 76], [60, 86], [74, 100], [97, 122], [68, 94], [10, 36], [96, 122], [9, 36], [15, 42], [13, 40], [7, 32]]; loss = 0.026306 low_pass_filter = 10.000
+Epoch 0: | | 929/? [09:41<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=21.60, train/activtrain step 930; scene = ['51832326c2486521', 'ae91ec6e3aec00c2', 'e80172c489f74813', 'e034bdb73350efdb', 'b2e5932f5b358c92', 'f80af1dc6cf2854c', 'f8e3b85a21b25764', 'cac8ff0742e1ef7e', '6e6ce6a006f044a6', '9aba38d959e85c32', 'd68ad9834919913a', 'de11e8525444b3e6', '7770c9fd63ae19d3', '929ac3c28edde369', 'fb807a4a935011f1', 'bc920b78aab35655']; context = [[56, 81], [31, 58], [152, 179], [1, 28], [63, 88], [27, 52], [17, 43], [62, 89], [3, 30], [15, 42], [94, 119], [161, 187], [49, 74], [3, 28], [12, 37], [53, 78]]; loss = 0.024766 low_pass_filter = 10.000
+Epoch 0: | | 939/? [09:47<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/activtrain step 940; scene = ['6792d6a4f4e87e24', '06f60580eba61d9d', '42c7147c591f47cb', '5d167006936398f2', '5f22fdf235746488', '337c66222a513af2', 'ecc15d661d8dbe9f', '2d417198a5ebd20e', '6a6beb90616e4f37', 'cfec50872cec53bc', '8b3765816a0cb218', 'fa3c7a9b31e5ab10', '6ad2c6f0c0c903e8', '96fbaabf762077c5', 'af37a973266b99fc', '00d80d0e284dac72']; context = [[41, 66], [29, 56], [13, 38], [18, 44], [35, 61], [67, 93], [86, 112], [77, 103], [89, 114], [11, 37], [24, 49], [8, 34], [53, 78], [6, 32], [15, 42], [42, 68]]; loss = 0.026966 low_pass_filter = 10.000
+Epoch 0: | | 949/? [09:54<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/activtrain step 950; scene = ['d1a496112cee9a32', 'd069c35354465fa9', '1db855eb2be5b983', '09a1e9bbded02341', '3918e4998619b227', '2a23966bfac99977', 'b6f65429632f92fa', '14270bac7ebd4ce4', 'f372609a6c75bced', 'b4a46c5d2d8d0415', '30e1d420b926d6f0', '8902e97c5814433e', '161cc1c3c7d7f131', '52ba723e1b5e31da', '7bf71b62cccdf2fa', 'b23cbee05407661d']; context = [[48, 74], [8, 34], [151, 177], [65, 91], [127, 152], [84, 109], [21, 48], [30, 55], [79, 104], [14, 40], [42, 69], [22, 48], [1, 27], [148, 174], [62, 88], [89, 115]]; loss = 0.027556 low_pass_filter = 10.000
+Epoch 0: | | 959/? [10:00<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/activtrain step 960; scene = ['3ba287815c2fa8bd', '4d9de907289bb1b6', '90b3a044d5c4522e', 'da500b24da7a495b', '5205c4ab691fab79', '979583f22bb73aef', '8c42a0b02e4b80e7', '643a17e2e87792a1', '6af3dac3387f0c7c', '2b85a6b46f2ea8de', 'fd7e46c14085c76d', '789e60a632f1c397', '4bb8768dea446ee1', 'ae846b6a792cadc1', 'e72abbc2e978475b', '6a11871c9643bd79']; context = [[34, 60], [138, 164], [9, 35], [17, 42], [128, 155], [55, 80], [35, 61], [18, 44], [149, 176], [1, 26], [132, 159], [16, 43], [44, 69], [201, 228], [44, 69], [28, 53]]; loss = 0.024690 low_pass_filter = 10.000
+Epoch 0: | | 969/? [10:06<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/activtrain step 970; scene = ['da7b5b8c48f2b345', '800692cf789b69bb', 'eb8e1a343a57f246', 'ef63ce1150b93a2f', '6f8cd3c25e7ce532', '430828a73b0473c1', 'fae232a4edb86602', 'ab533c63e6b7ef78', '6f2daf5cb8151b38', 'cd2bc85e8f87f404', '363163aa8eb9a2dd', 'f6d48213ef0665a5', 'cd7a270da6f6da4a', '2018a20c3c41f278', '0274ae92b3b40648', '56f96532473be1b0']; context = [[19, 45], [32, 58], [84, 110], [48, 74], [1, 26], [1, 27], [109, 134], [22, 48], [133, 158], [43, 69], [71, 97], [52, 79], [43, 69], [86, 112], [3, 29], [74, 99]]; loss = 0.023868 low_pass_filter = 10.000
+Epoch 0: | | 979/? [10:12<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/activtrain step 980; scene = ['0f8c770f3a37cacf', '4e9bc83dc19ab35b', '02b4de9af6e29e8a', 'ff7c5e76dbb32bf8', 'fc0eb949f7e3495d', '809ac9d0df881cdc', '9b1748955fdd2d93', 'c62d89b4898ca134', '8fe0153671265cd8', 'cac682fd737ac05a', 'd5c8690ebede654c', '68f5a9c218ae58de', '6f734cb7648a8dc0', '3a06c662b556f35d', '2ab59b3cd18cf2a6', '7575c3ff61344cf7']; context = [[55, 80], [4, 31], [75, 100], [9, 36], [8, 35], [21, 46], [1, 28], [24, 50], [68, 94], [111, 138], [119, 144], [183, 210], [112, 137], [57, 83], [2, 29], [45, 72]]; loss = 0.025613 low_pass_filter = 10.000
+Epoch 0: | | 989/? [10:18<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/activtrain step 990; scene = ['065d41d6e7cd8ad8', 'fbc4bbe6225528ec', '3baeb8a657696aec', '0224ae3b7123367e', '61327b567aa8d6f6', '0856eb1e161c6cb8', 'e6406106735f8b34', '12108a3fd93471fb', '6080fc9345448eec', '39ee4bf580cf2bbe', '5a1ccf5da976f592', 'c2de98e8401d1883', '877e982c2aeacb3a', '9f7fa8a32d5eaa0f', 'd3b5f1786c3ae039', '28478600e3b81375']; context = [[2, 28], [147, 173], [40, 65], [231, 256], [34, 60], [27, 54], [103, 129], [5, 32], [43, 69], [119, 144], [23, 50], [3, 28], [10, 36], [176, 203], [0, 25], [5, 32]]; loss = 0.026497 low_pass_filter = 10.000
+Epoch 0: | | 999/? [10:25<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/activtrain step 1000; scene = ['d31dab63cc54c59e', '767c62f619b15386', '95c9d9e0f42b1a15', '7b698e19de628b10', 'dca0f0eacbccd9c8', '6a98a5412a5aee02', '58862a8fe2c91894', '6bb1fe38f50ee2f6', '5e8552f9cdf1e078', '344337509a48a21c', '3220f882c1f72cca', '272f7a997c94d84f', '6af18067925fa678', 'b12b1204a0c7c197', '5db240a3c54df22b', '28ada2a08238d1c8']; context = [[2, 28], [1, 28], [3, 28], [1, 28], [15, 42], [40, 65], [51, 78], [45, 72], [67, 92], [15, 40], [77, 102], [149, 176], [11, 38], [149, 176], [24, 51], [3, 30]]; loss = 0.024325 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/optim/lr_scheduler.py:209: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+Epoch 0: | | 1000/? [10:26<00:00,  1.60it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/activalidation step 1000; scene = ['49b8f80c849dc341']; context = [[56, 83]]
+Epoch 0: | | 1009/? [10:45<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=21.90, train/actitrain step 1010; scene = ['917a89fdc7272009', '5eee3bba5d8a0af0', '09857c20a9b14df3', '184fb534f9aca4da', '51e6b1d7cd013f21', 'aa85d24bbd87a8a6', '10c6540f2e3af25b', '9159925b118937a4', '13c85315b9e987d9', '3075c400813b4fd5', 'e0fc35891bf29a7a', '8b5c24358ec92b0c', '8376f898eabbd0e1', '8da41667e8f33d92', '0ddb1fa8f7729c9f', '9d714edfee008fc2']; context = [[52, 78], [90, 116], [100, 125], [68, 94], [30, 56], [190, 215], [1, 28], [114, 141], [78, 105], [56, 81], [68, 95], [145, 171], [75, 102], [79, 105], [4, 31], [1, 27]]; loss = 0.027270 low_pass_filter = 3.333
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 1019/? [10:51<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/actitrain step 1020; scene = ['06c7cb360e434de5', '68d0e78200de8dbf', '7567fe94d4fba9d7', 'a0493b972780d9ae', 'dbbd2d62968c2aab', '7eb1c8969766243e', 'abd353eabd0dea01', 'b6cacdcdab5755b8', '7e731568d0288a55', '085ff8ed78f58252', 'b6f08954c7c64f59', '700d4f6b814c5dd7', '770ffcd0c79519aa', 'aa3520c25c879a9f', '9530c8a093a39160', '3195acecb19b0955']; context = [[39, 64], [129, 154], [28, 53], [65, 90], [40, 67], [56, 83], [38, 65], [3, 28], [214, 239], [32, 59], [4, 30], [18, 43], [101, 127], [29, 56], [4, 31], [182, 208]]; loss = 0.025709 low_pass_filter = 3.333
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_parent_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_center_diff_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_parent_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_center_diff_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+Epoch 0: | | 1029/? [10:57<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=21.90, train/actitrain step 1030; scene = ['1ad7adae6a042ce1', 'df0ac86df48f6d06', 'cc6c8d74122beb91', 'cbb91c77a7526d61', '4edcc58025a77735', 'b1dd1726f1f46b42', '15f14a9a8d3f7769', 'dacf77dd43f1d0f1', 'e53a82bfe84a2251', '1018776739e1250b', '0c52454885189188', '7e25e7669443bd73', 'cabe1e553676170f', '29fabf56364e9d1b', 'e58feef82356fb26', 'e2202f60a31710bc']; context = [[40, 65], [207, 232], [15, 41], [0, 26], [18, 43], [23, 50], [11, 36], [53, 78], [0, 25], [34, 59], [91, 118], [79, 106], [73, 100], [49, 74], [157, 184], [90, 117]]; loss = 0.024533 low_pass_filter = 3.333
+Epoch 0: | | 1039/? [11:04<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 1040; scene = ['e28ac2de4b57c0fd', '71499e389bdaea92', 'd7c0ebc89793e158', 'b428645647d53e65', '1c1f2b158b8527cc', '5a23762e2edbeba0', '581d57e13e40094d', 'cb64aaa680fba010', '3f7c40c559810888', '2edb7ac3009c5f9e', 'f7887b5d47d53d20', 'a79888bb552c7862', 'cb7487a5189f6b2b', 'dd71da9a017228df', 'fdbfe35f5940d3ad', '4a7a158bc511d737']; context = [[31, 58], [11, 37], [82, 109], [42, 68], [45, 71], [3, 29], [32, 57], [101, 126], [63, 89], [15, 41], [84, 111], [44, 71], [10, 37], [104, 129], [101, 126], [119, 144]]; loss = 0.022162 low_pass_filter = 3.333
+Epoch 0: | | 1049/? [11:10<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/actitrain step 1050; scene = ['200afae0928a1372', '88402eba1dca60a2', '7fbbee2db2e6cd4d', 'd23843ee6485a4ca', 'a2c884e396d7f501', 'ebaeb44a88de9332', '6af98c375abdb63d', '38c220ff58e572ac', '527265924b9b6375', '2962175a510cf868', '94418a5db600cc33', 'ff476ba779fd6021', '518200a52559d895', 'ca342b60ac94b65e', '0d4ebded1cdfa14c', '7f9be765fc88ada1']; context = [[38, 64], [72, 97], [59, 85], [185, 211], [10, 35], [16, 42], [61, 86], [11, 38], [28, 55], [4, 29], [16, 41], [29, 55], [7, 32], [199, 224], [59, 86], [39, 66]]; loss = 0.019747 low_pass_filter = 3.333
+Epoch 0: | | 1059/? [11:16<00:00,  1.56it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/actitrain step 1060; scene = ['eb5a6e0843067cdc', '3ebbf175cda595a2', '1cf5589d5ecddb95', '74eb411688ba5e15', 'b071ad8689db9c26', '5c50277359a0843c', '26ea8cc2791328c2', 'ac64989dd2b2a22a', '6955cf41eb23fe3b', '39f7c76ef42ac1d4', '0f04f8ee8b2396c7', 'aaece70a39dd3257', '0d8f65989586d136', '7fde9a464e6b2a7b', '55f0fab213db4673', '104d225e8ec52733']; context = [[23, 49], [72, 98], [109, 134], [53, 78], [223, 250], [63, 89], [209, 235], [90, 116], [1, 26], [96, 123], [156, 182], [138, 163], [249, 276], [35, 61], [50, 77], [18, 44]]; loss = 0.020029 low_pass_filter = 3.333
+Epoch 0: | | 1069/? [11:22<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/actitrain step 1070; scene = ['e6d924f92f44c985', 'c96388f9522a65b9', '3193e8bf21491023', 'b86dc6a2be5101ab', '42df8c69e0daeec6', '95908390cfcab857', 'ebf1a7e113d1cfd2', 'c8a89452aa4cf54f', 'c5f6f1a662e28071', '3678468a9d6d42cc', 'b950cd4348d01e2a', '623d5619e4702864', '804998e7ec39d253', '0d75be966f561519', '0d32af0aa9eaae9a', '68528e468bf52aca']; context = [[71, 98], [191, 218], [72, 97], [16, 42], [43, 68], [32, 59], [148, 174], [44, 69], [160, 187], [124, 150], [46, 71], [204, 231], [97, 124], [5, 31], [5, 32], [18, 44]]; loss = 0.027019 low_pass_filter = 3.333
+Epoch 0: | | 1079/? [11:29<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=20.70, train/actitrain step 1080; scene = ['5fe123b3d2013cfc', '05c25202589a6f81', 'c6cdc4c9282bd491', '8b3e50b64cdb9a4a', '34a9201614a19005', 'b765858262583af6', '7f20b3df52cf4e98', '43c619a8b35c357f', '32ed60ed023b59cf', '0560b7d07f6e6899', '262a536e25e2ae43', '572d67c3862dd6e1', 'd59ab97b03d1164a', '46480458ef51b393', '03d3092e230ed7f0', '79f4ef188c1f0a3d']; context = [[134, 161], [39, 65], [83, 108], [43, 69], [85, 113], [80, 106], [28, 55], [51, 77], [15, 43], [0, 25], [222, 250], [212, 237], [7, 35], [27, 52], [33, 59], [42, 67]]; loss = 0.025871 low_pass_filter = 3.333
+Epoch 0: | | 1089/? [11:35<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=22.20, train/actitrain step 1090; scene = ['b333ae137d9b364d', '111edff73abfa215', '03150a5a24b88cf4', 'fa3c714f9feb0ca1', 'b4a5824300555fe9', '427dbba2f4ddb5ec', '423fb23a46b7ad6e', '9589bf6c34437171', 'ed90fc76c5f364e8', 'e81375f276552936', 'ec9ce5f9d9512215', 'fbf467b7610b569c', '49e4f5365be165ee', '34580d00589eee64', '3205bb1ec6c5e8a4', '24a2c0442c06f4ec']; context = [[126, 151], [13, 39], [183, 208], [64, 92], [41, 66], [19, 45], [18, 43], [34, 61], [14, 40], [36, 62], [55, 82], [21, 49], [12, 39], [107, 134], [0, 26], [48, 74]]; loss = 0.024720 low_pass_filter = 3.333
+Epoch 0: | | 1099/? [11:41<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/actitrain step 1100; scene = ['d8c0b4ca0defd965', '73a06272f1314473', 'd5ae945909789ef7', 'da86c1e65642aa38', '37c5b704883ea1b7', '6d49fec0fd3dbea0', 'bcede31352c7bd4d', 'bb5bb772c9c01b1a', '309060e859c57cc7', 'bf5caf81dc58798c', '10e11b3eb5bba7c9', 'a23531e747abeb94', 'd40a51a67fb79544', '0880f556a19d07f5', '577c560e66207737', '9b6a57a6ff02dd12']; context = [[187, 213], [13, 40], [76, 104], [29, 55], [18, 44], [13, 40], [40, 65], [78, 105], [23, 50], [51, 76], [17, 42], [63, 89], [3, 29], [88, 114], [6, 31], [20, 45]]; loss = 0.025609 low_pass_filter = 3.333
+Epoch 0: | | 1109/? [11:48<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=21.20, train/actitrain step 1110; scene = ['6f4c2dbdf3261ce5', '3e2671d001ec3490', 'eed911184d146626', '50632d01cdc990e2', '5080347450bbcb08', '987ba4e94414a901', '2d96aa51d8a0f0ba', 'e59de5847cdb3d38', 'fc53427e7c49a7c5', 'ce3f4b5b14d97861', 'abf076da45e3fea5', '89afd4c5470e2516', 'a7a54b27565d7c3e', '62999865ac9eb455', 'b2a4b10693604581', '4a9927480f8c43b7']; context = [[49, 76], [33, 61], [9, 34], [0, 26], [86, 112], [1, 29], [150, 175], [29, 56], [6, 31], [5, 33], [35, 63], [159, 187], [59, 84], [8, 36], [32, 57], [83, 109]]; loss = 0.023786 low_pass_filter = 3.333
+Epoch 0: | | 1119/? [11:54<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/actitrain step 1120; scene = ['12bc55088cf2ce58', 'f0775b5ffdfb27b5', '24d4b58914a78163', 'd9dae14cb7376287', '3b4e220f6d18d61b', '86dbd3d7c71e63d9', 'aeee3481d2a8806e', '8b598829b949bb07', 'ffaf31567af2b895', 'e41915761acdb093', '14b8447b6a98961f', '782bc1eb4be1cb89', 'bb5cc95dd4cf749c', '47d9f6977b05f18d', 'bd84e78a498e4af5', '43cd8bfd1bada381']; context = [[32, 58], [67, 95], [15, 40], [62, 87], [24, 52], [12, 38], [55, 81], [40, 66], [90, 116], [108, 135], [35, 61], [174, 200], [7, 34], [62, 90], [44, 71], [0, 26]]; loss = 0.021160 low_pass_filter = 3.333
+Epoch 0: | | 1129/? [12:00<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=21.90, train/actitrain step 1130; scene = ['d4450052d60e5f31', 'c05818414f7e530b', '0fd0ead3c363584e', '10fe0d451220407a', 'e46419c7826b661c', '7d6557b3ee6eaa8c', '26e1218850abd298', '5f0f26d2f069837f', '73dc27448e4f065a', '757f85ef4b708166', '4c8ecba879bb3eed', '2443e886f743cc34', 'c6ea933d1fff0d59', '2e4d16122bd76f43', 'ca89e36b41581eb8', '01669ff74c56d315']; context = [[51, 77], [33, 61], [65, 93], [200, 225], [13, 39], [49, 74], [26, 51], [2, 30], [1, 27], [133, 159], [11, 38], [3, 30], [26, 51], [52, 80], [35, 60], [0, 26]]; loss = 0.021275 low_pass_filter = 3.333
+Epoch 0: | | 1139/? [12:06<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/actitrain step 1140; scene = ['c70fbfe2ea94f606', '2a5ba4ced1bda07c', 'c49dfdcdb8ec5967', 'a02a9658551d219d', 'ee308e09e3e799e5', '25a066a44d4fbfe2', '46f0491eb7365360', '665049a1c88afbac', '540bc85f7c1b643e', 'aa5e9a3df7061a58', '6a140ea6d457efae', '11d0d75085bf9ce0', '86c89319605a764c', '1b91d2fcbd0b384b', '72271741f674be7c', '88a6790c97629d07']; context = [[34, 60], [22, 47], [76, 103], [40, 67], [67, 95], [11, 37], [23, 51], [28, 55], [9, 35], [43, 70], [36, 62], [98, 123], [3, 28], [57, 85], [54, 82], [4, 31]]; loss = 0.024306 low_pass_filter = 3.333
+Epoch 0: | | 1149/? [12:12<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/actitrain step 1150; scene = ['2c473fa113c38037', '232761a3c36250db', '112202d9b9402f09', '6fb75705002e9a71', '96c546893e58e713', '68bd44a4d3385359', '76d49efbac8550f2', '6edfc46eec151202', '139fa8c7577496de', '4b435ca0a80ee76f', '9cf4511625b44389', '3b8abe0cda9917e4', 'edb67472914edb3e', '1c2e5f0ee4f0a04d', 'b628c72cc878780f', 'e294f1cd6bcdc9e5']; context = [[8, 36], [21, 49], [65, 93], [68, 93], [51, 77], [159, 187], [71, 98], [50, 75], [12, 39], [59, 86], [45, 72], [46, 71], [50, 78], [107, 132], [191, 217], [59, 87]]; loss = 0.023080 low_pass_filter = 3.333
+Epoch 0: | | 1159/? [12:18<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=22.00, train/actitrain step 1160; scene = ['8a5f209051718c6a', 'fe3c04bb10b12d55', 'cd7355ffcbc5a2f5', '1f4d538755177e00', 'f591700701a47d5f', '3624134e157585a8', '2e6b110a34be80f6', 'db21d3ab55c463d4', '263171a60cd3c274', '7e17d1e974838e4f', 'eb0b3196ffb44444', '9af60e3183731e2b', '7aa0b1804b14144b', 'd0163ac6077217b4', 'e8bacc515eee9906', '8e6dd682ca06c962']; context = [[106, 133], [88, 115], [22, 49], [29, 55], [92, 119], [39, 66], [29, 56], [32, 59], [2, 30], [137, 165], [41, 67], [105, 132], [6, 32], [95, 122], [25, 53], [110, 138]]; loss = 0.025695 low_pass_filter = 3.333
+Epoch 0: | | 1169/? [12:24<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/actitrain step 1170; scene = ['9bddf9777577b540', '95683816b2782fc2', 'ef767501ebc1cb8a', '5065b9cb94d891bb', '7973781f09bbc41d', '0c2dec20ab27ba71', '9d34c9589e0434c9', '960daf58070c833a', '3ea9aa602dfec930', '65be8dee646970d9', '92f0ac52daa463b6', 'd6908f33460b023b', 'da56c7ef9df14143', '7b23e4a0c4ea3e95', 'a02a57c926d1ae45', 'd2b34cb3b5d00afa']; context = [[87, 114], [33, 60], [79, 107], [98, 124], [0, 28], [247, 273], [86, 114], [12, 39], [49, 76], [19, 46], [40, 68], [19, 45], [15, 41], [21, 48], [187, 214], [30, 56]]; loss = 0.022408 low_pass_filter = 3.333
+Epoch 0: | | 1179/? [12:31<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/actitrain step 1180; scene = ['7c5aecc1f97fde06', '22b12e74502378c7', '47c705d2d6d65b23', '3812f04df4ff98d4', '62c6c5f93e65ccd8', '9beaf5d0ae3a7903', '20b3937a5b0c8384', '41454feb44f3cc7f', '1f5f168725874f3e', 'b9e20c6ca2630cad', '7836200c75b0e42d', 'f1847f1633c71974', '2ae079dcad63c1c1', 'e93bb5f352f12779', '02ce170824e128dd', 'b7d0632fc6b2d46b']; context = [[0, 26], [7, 34], [36, 64], [91, 117], [112, 140], [152, 179], [1, 28], [81, 109], [125, 153], [29, 56], [63, 89], [51, 78], [57, 84], [118, 145], [53, 80], [106, 134]]; loss = 0.021189 low_pass_filter = 3.333
+Epoch 0: | | 1189/? [12:37<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/actitrain step 1190; scene = ['87ddb273a2668496', '4188a5e607ad1fb9', 'd9f4d087b09b5361', 'fd736740ea4abcc7', 'bf8d7d53329bfcde', '05f3364c68280447', '3d187ef47213b513', '7bdae1fbfeca5814', 'd72f1c9631d56256', '6d849ca53f62a5b7', '203149d77d4e35c2', '9cc6a832ffde1cbb', '3cca5bd6f63c23a5', '4625967cb4399fe0', 'fc5fe3d19d1bcc3e', '887c6aa71d5e23f1']; context = [[100, 127], [35, 62], [6, 34], [17, 44], [64, 90], [58, 85], [120, 147], [5, 33], [1, 28], [80, 107], [51, 77], [54, 80], [40, 68], [59, 85], [22, 50], [26, 54]]; loss = 0.019722 low_pass_filter = 3.333
+Epoch 0: | | 1199/? [12:43<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/actitrain step 1200; scene = ['e58f27f45d7cce3a', 'd02f8cad1ec64f2c', 'a89d49837b7303c5', 'fbf766898680aef1', '0baa25d1cb97a27f', 'dd0486313ddc7f1c', '95aae109e91f511d', '8cb3deb4666c76f5', '8e50829d45f121f2', '1f2536c42dccb36b', '47b85baf9e4e8a1c', '02a4144482a9daef', '06f55714ca5e219a', '50873cd4150bd263', 'ff3866d1f150f06c', 'dec69f4f1cb29569']; context = [[58, 86], [94, 121], [20, 47], [0, 28], [48, 75], [7, 33], [25, 52], [71, 98], [140, 167], [65, 92], [25, 52], [86, 113], [70, 97], [34, 61], [84, 112], [31, 57]]; loss = 0.022431 low_pass_filter = 3.333
+Epoch 0: | | 1209/? [12:49<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/actitrain step 1210; scene = ['fcb4dfba1a945a4b', 'a30d9527ed0e0748', '73d873a180e058a5', 'd4897a4c90c37caf', 'ffc9008285548ff5', '813e1189dcfd7c30', 'b3f9bb0c99776a79', 'ca024568a48933be', 'daf0904eab3b35cf', '4a92e8a638e8c57c', 'af0517fa98077a1e', '665d429d01b05d14', '830cc256a754ed8e', '8145a4774a6a2fd3', '309a175f1e06b80a', 'bbc62daeaf77bf4f']; context = [[30, 57], [13, 41], [132, 158], [45, 71], [48, 74], [16, 44], [4, 31], [64, 91], [119, 146], [0, 28], [7, 35], [50, 77], [53, 79], [33, 59], [247, 274], [24, 51]]; loss = 0.021527 low_pass_filter = 3.333
+Epoch 0: | | 1219/? [12:55<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/actitrain step 1220; scene = ['1da5bd3938d1106e', '1e39b2eb951d0d1b', 'e5447ec8725011a0', 'c2f2994c1329cf74', 'b8252179ea1e7036', '228568723e619e85', 'd3ecc9f89d8163a3', 'a5bbbc8bf57c2d39', '99c8545c72314b71', '625eef7459761a4d', '5f19c87933afd12e', 'e3b1a68ce2293863', '4c8f13f305e4abdf', '0081dc6b188fefe7', 'd379feee7af01593', 'a810c60104f378ad']; context = [[106, 134], [39, 66], [31, 58], [9, 36], [157, 184], [15, 41], [92, 118], [124, 152], [24, 51], [64, 90], [34, 61], [42, 69], [4, 32], [39, 65], [70, 96], [46, 73]]; loss = 0.020359 low_pass_filter = 3.333
+Epoch 0: | | 1229/? [13:02<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/actitrain step 1230; scene = ['24b8103eb6fea42f', '947f348fccdcce56', '76cad7284ada1227', 'b8bcd6af0ef63ab1', '03ea388058ebd7c7', '2570a14e40c92d75', 'db9459595f461e15', '56cf9bf99311c357', 'e485bf80f9a3f7e1', '07219a30092595a2', '0db71132ccfdfa95', 'f1a61757f68774d2', '470f6a9cdba0a1d5', 'b9ffdd6786ddc018', '95cd28864a17ccca', 'fb73c1c5f2889329']; context = [[57, 83], [53, 81], [4, 32], [132, 159], [0, 26], [5, 32], [70, 97], [55, 83], [66, 92], [7, 33], [6, 34], [6, 34], [141, 168], [101, 129], [146, 173], [10, 36]]; loss = 0.026716 low_pass_filter = 3.333
+Epoch 0: | | 1239/? [13:08<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/actitrain step 1240; scene = ['23358c2cc3e7e8fa', 'da1f9f2859b59142', '5c1d013893a69fb1', '9662f49b6a764dfb', 'a92ec569ae5c2a73', '5542c47d00e5ad3f', 'a1fa4bf737381a53', 'e620345f5468d2e3', 'f30398f000a252c0', '32f7b46d278e4954', 'd8fd980f911631b9', '50647477856e6833', 'c223600fd4ba02d7', '345358687532f52c', 'c6b6d3ccd25bb2cb', '2719c26d03b2054b']; context = [[37, 65], [27, 54], [166, 193], [20, 46], [25, 52], [37, 63], [99, 126], [231, 257], [39, 67], [18, 45], [25, 53], [61, 87], [7, 34], [116, 143], [72, 98], [112, 140]]; loss = 0.023644 low_pass_filter = 3.333
+Epoch 0: | | 1249/? [13:15<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/actitrain step 1250; scene = ['8f93b1f88915ec0e', 'aa0480c4085e88aa', '83a20ad0a61f400e', '4ae8d76f03c4bba2', '48b1e8b1130a75c8', '406e9c6c0f7a3a54', '0b4c2c46d09e60de', 'c00aa176dbded93c', 'ee0170b8aa621c0f', 'bf0c3ff5d1a3df4e', '859722e52191814e', 'b77d133bef4fa907', 'd69d8870df582b0a', '1d8cdf272844d0e7', '8fd375312458cd70', '874990ab5347c13b']; context = [[15, 42], [100, 128], [29, 56], [67, 94], [8, 36], [162, 190], [44, 70], [39, 65], [51, 79], [79, 105], [5, 31], [201, 227], [5, 33], [75, 101], [140, 167], [230, 257]]; loss = 0.022875 low_pass_filter = 3.333
+Epoch 0: | | 1259/? [13:21<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/actitrain step 1260; scene = ['7332947ada1572b7', 'b1c71220312bd8d7', '3c0a13b7637af7fa', '06f73e2d9a53a6eb', '9eb1cb80a1e94817', '3685bb1168fb8031', '68a85b63caa319b4', '5fec984bfa36becf', '20c639dc41a7bf7f', 'e465c16e4ba9fcb8', '8b17b526790f5460', '01b5eee3faf8485a', 'af10100731bf2226', 'ee5738683b5992a1', 'e59b7aa524c9f1dc', '9ba2d62e72db7145']; context = [[95, 123], [25, 53], [16, 43], [72, 100], [23, 50], [23, 50], [43, 71], [2, 30], [99, 125], [86, 113], [103, 129], [102, 130], [124, 151], [16, 43], [57, 83], [51, 79]]; loss = 0.024892 low_pass_filter = 3.333
+Epoch 0: | | 1269/? [13:27<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/actitrain step 1270; scene = ['ef6401c117a2701a', 'e994872e832abcd6', '803178124802c1aa', 'ba910ed9ffed394d', '6f4a43a4f3c0fb6c', 'f429e6d259c28372', 'c555b5ae8249ea79', '311e7ad62f542ce2', '85f8f13158886489', '38f2d8425c2c413b', '458766c5d05f8d15', '903117ac67b912a2', 'fe06a555231819c0', 'ce53ab61724efa79', '9bfb9a67d9cafdfc', '456aecc893a4653f']; context = [[16, 42], [42, 70], [97, 123], [3, 31], [25, 53], [22, 50], [18, 44], [26, 54], [139, 167], [152, 178], [136, 162], [2, 29], [136, 163], [30, 57], [61, 89], [206, 232]]; loss = 0.021351 low_pass_filter = 3.333
+Epoch 0: | | 1279/? [13:33<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/actitrain step 1280; scene = ['cc6379f86543e2c7', 'bba92b2f199e4e80', '7256306ee88ff0a3', '71fb2a3a5f745849', '41640d448887e237', '1562917348b9dea3', 'ed8132a90fd5cedd', 'd73b7d57dd76d4ae', '162d34cd96a0899d', '76afa68a52241dc4', 'a6cc1f957f873178', '414454ff64681a93', '1403da8c328f29d4', 'b18ac63baf4baee0', '6e2c73ab63bf5e87', 'c6c0e46d5daafd20']; context = [[219, 246], [233, 261], [19, 47], [31, 59], [3, 30], [33, 60], [26, 53], [17, 43], [221, 249], [19, 47], [84, 111], [55, 82], [148, 176], [29, 55], [143, 170], [46, 72]]; loss = 0.018025 low_pass_filter = 3.333
+Epoch 0: | | 1289/? [13:39<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/actitrain step 1290; scene = ['cd6c21656a85e9b9', 'd8e1f8ca9a8f6d75', '538591ce295ffc23', 'de41f796919fa481', 'e324acf1610847ca', 'e0585142f1602430', '0956329fc4d362a7', '9ab9a834066a3287', '8af741a43dbf8aed', '2889424e1627e36e', '9f55a331f0e02fcd', '97bc9f9fd9f493e5', 'c69838b39a586dca', 'f98c4f8284140152', '9a45995c95b9df54', '98fb604e2b221457']; context = [[17, 44], [65, 91], [8, 35], [1, 27], [13, 39], [5, 31], [14, 40], [12, 38], [25, 51], [1, 29], [29, 55], [18, 45], [134, 160], [185, 213], [124, 150], [0, 28]]; loss = 0.021950 low_pass_filter = 3.333
+Epoch 0: | | 1299/? [13:45<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/actitrain step 1300; scene = ['bd781c735a39b252', 'e6910569bc347ba2', '51e7e2abc42fff2f', 'e567c08401dda8a7', 'dd249f6269133fd4', 'f6eb748a01065695', '154ca1b40882c2ba', 'e9e020c514404b0c', '313139806de65869', '25f120b63c777a3d', '73d0cc9f88dd47a4', '86cfe990f194bb9f', 'cb17460c2a53d3d3', 'acc04053479de7b6', 'eda827d23766de0e', 'a640a55439a43108']; context = [[6, 34], [28, 55], [21, 47], [10, 38], [90, 116], [31, 58], [20, 46], [13, 41], [22, 49], [10, 38], [64, 92], [22, 48], [90, 116], [14, 40], [10, 38], [80, 108]]; loss = 0.020096 low_pass_filter = 3.333
+Epoch 0: | | 1309/? [13:52<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/actitrain step 1310; scene = ['81f3520774d1a1c6', '620d222665049f34', '0ec197e81b8d0f77', '780ad45fced462d7', '6aa927450138c021', '58f4b2ce84d33565', 'bbb36359cd553f3a', 'd2757e2b5edb04c5', 'be6471058d2d22ab', '93fb96bc2d3b8bff', 'e84178ef466d3974', 'a9b070f212e5f277', 'a98ec507d448dea2', 'fd76f881e1223b09', '57dbeb44c9b27b81', '0b0fe0d86da5a167']; context = [[13, 39], [73, 100], [65, 93], [12, 40], [79, 106], [102, 130], [32, 58], [51, 79], [13, 39], [33, 60], [3, 30], [204, 232], [25, 52], [4, 31], [161, 189], [42, 70]]; loss = 0.021300 low_pass_filter = 3.333
+Epoch 0: | | 1319/? [13:58<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/actitrain step 1320; scene = ['443f21df464db8cf', 'c33b9080e273000c', 'a230308a0397ec12', '3909231098c2f263', '0e4dc00fb343099c', '3deda316f214ee89', 'c202eebff41099ba', 'a5ab3c04cadb399b', '50bb0587e8b1924a', '5e00fe8ddb44c346', '348f41557b28f27c', 'e246fc179798ef43', '8acbada3de9d0256', '8c511adfe1edf981', '6918eddc5ff5ced2', 'feeef6e1343ba933']; context = [[125, 153], [77, 104], [20, 47], [42, 69], [25, 52], [171, 199], [17, 43], [199, 227], [67, 94], [15, 42], [5, 31], [5, 31], [7, 33], [11, 37], [1, 27], [19, 45]]; loss = 0.017974 low_pass_filter = 3.333
+Epoch 0: | | 1329/? [14:04<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/actitrain step 1330; scene = ['686ad3f8a986c1d1', '42f74d7e8843d492', 'fa49b8a4ce355d53', '1e282735e3e48328', '562bb0d240bb37ff', '1da206992563b2b9', '3fb2a360fe3a0dd2', 'eec5b25d9b090878', 'be15a3c0fd266f0f', 'b71fbffa97db928f', '399b6534f47214c2', '2f321a2fbb58cb79', '2813e378279c4fad', '24ac625c8f95dd37', 'c5f9ca57f5873e3b', 'c43469ca9350d88b']; context = [[49, 76], [51, 78], [19, 45], [62, 88], [0, 26], [104, 132], [132, 159], [42, 68], [102, 130], [46, 73], [65, 93], [20, 46], [41, 68], [18, 44], [225, 252], [8, 36]]; loss = 0.020971 low_pass_filter = 3.333
+Epoch 0: | | 1339/? [14:10<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/actitrain step 1340; scene = ['b988c3ed7749b74e', '8868360e57d02bf2', '3691cd26c7100116', '1d60c040046aab31', '2717a1836dbb53d9', '1cbee92f071ca0fb', 'f23e4d3afc46ac29', '2cdc2ed1b8813ab1', '344b8a6319bec5ab', '6c3a8d059e82f912', '57f5506e3257f4b2', '3765ecbfb3a165bd', 'd678738b34c57d8a', '8b8a871ef6c8045b', '151e0e08ed38e7ea', '90603a5bce11c2ed']; context = [[7, 35], [124, 150], [74, 100], [92, 119], [39, 66], [143, 169], [180, 207], [142, 170], [190, 218], [32, 59], [55, 82], [74, 100], [27, 54], [71, 99], [176, 203], [114, 140]]; loss = 0.020587 low_pass_filter = 3.333
+Epoch 0: | | 1349/? [14:16<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/actitrain step 1350; scene = ['c7462f6b97947601', 'e4832b64e5b73784', '0139d9fa2834c496', 'e0e22ca4dce43fea', '26894d5903d41150', '3d4ae910ff347e3e', '5b9d84d47b1ea410', '75a8c9852f5cae9b', '09a6aff7b9769dfc', 'eca311ee088fb239', '96e60aa2260cee08', 'bf6673b014c4b426', 'c842ce5440a03704', '38834e0675604b7b', 'e6828e4eb26c2f83', '6993473d6d315d1d']; context = [[7, 35], [17, 43], [246, 273], [46, 74], [50, 76], [44, 71], [74, 100], [86, 113], [5, 32], [6, 34], [112, 140], [47, 74], [136, 162], [56, 82], [60, 86], [6, 32]]; loss = 0.021774 low_pass_filter = 3.333
+Epoch 0: | | 1359/? [14:23<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/actitrain step 1360; scene = ['5bbda319111f9dea', '519ee1fb2d68f039', 'cbc71a203e10b3c6', '523d8fec764af182', '37b593ab757771b6', '4e01092da9625335', '83d2aaffdfe0fffd', 'c331ebdb898c377a', 'ddc11c891f471dd0', 'd5a86126a4e39e7a', 'e20f3440223cbde1', '12e85fb6e140ee85', '07790cb4884e1502', '7d697ca690248324', '837a853e726c6ad2', '43e59b21a3805c73']; context = [[7, 33], [74, 100], [79, 106], [47, 74], [34, 60], [86, 114], [39, 65], [44, 70], [235, 261], [195, 223], [89, 116], [66, 93], [40, 68], [51, 79], [8, 34], [177, 203]]; loss = 0.020695 low_pass_filter = 3.333
+Epoch 0: | | 1369/? [14:29<00:00,  1.57it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/actitrain step 1370; scene = ['d095902f17028960', '93fc382a94286786', 'bd36807dafbe8c58', 'c7415f2942f33110', '548ad1b923e633d8', 'ff731e78060eb888', '26b8065adc153c13', 'd580f973b11b17fa', '4e437d66420067c2', '4e4985c5a76ac0e5', 'c3165a339b9a09e5', 'd4958f58a569c0cb', '2a4fe9d5f507d831', '5ac80497fad02a9a', '259a3164730654e9', '92a1f3ab5dbe634e']; context = [[2, 30], [2, 28], [54, 81], [7, 33], [93, 121], [11, 37], [70, 97], [153, 180], [26, 54], [41, 69], [89, 117], [85, 112], [60, 87], [39, 67], [42, 70], [26, 53]]; loss = 0.022455 low_pass_filter = 3.333
+Epoch 0: | | 1379/? [14:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/actitrain step 1380; scene = ['188e6ed22a7fd36d', 'b6a96ac39415c7eb', '4cc1fe94dc835080', 'bda1da95e32bfa6f', 'b1ddaa87daa7e8c4', '231b021798b62c23', '75658e8027c86067', '0a9dfffcef241987', '43d6c0f25725e6cc', '68657e48548014c1', '390c16381bcb8a76', '53444636e876dab6', '8939b98ed0a32929', 'b861254595ef36a0', 'df7483e3abe31e97', '6762b70cfb8a36d5']; context = [[24, 52], [34, 62], [94, 121], [30, 57], [25, 51], [8, 35], [15, 41], [6, 34], [6, 34], [44, 71], [8, 36], [163, 190], [50, 77], [45, 72], [12, 39], [86, 112]]; loss = 0.020750 low_pass_filter = 3.333
+Epoch 0: | | 1389/? [14:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/actitrain step 1390; scene = ['5845df26727f9a9c', '7af47ea3a7db02cd', 'ffc17b42b9b19c90', '8bff6dfd39e98bb0', '71eb4467bf241478', '1f6ad370994d583b', 'cded1d6471249eb8', '5d6afe2e0975c16b', '4914161135e0191e', 'b5e0441cfe20034c', '60981b21dabe4e2a', '3ab61550a3a02ca4', '755629a58eba68f0', 'dbb18d75e5600794', '2bdc0fd8c339c3f5', '2cd9451a8f8f8f72']; context = [[103, 131], [0, 28], [31, 59], [55, 82], [4, 30], [102, 129], [32, 59], [24, 51], [85, 111], [43, 69], [51, 77], [51, 79], [64, 92], [0, 28], [43, 69], [48, 74]]; loss = 0.021939 low_pass_filter = 3.333
+Epoch 0: | | 1399/? [14:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/actitrain step 1400; scene = ['3aa1b31b218bbda3', '502f46627ef7692b', '8d5406cd225237f4', 'bb541f2c0409a5cb', 'cb7e22191dc3a20b', '56ba21867ca58ed3', '91fb76c74c6fe7d9', '64bb6fe5f0484ccf', '52e55a9250f55a45', '105d995e386ac845', 'ce0e20a4bfd3ce6c', '3854d2ee21c7777a', 'be438e2866712dde', 'b4e7bdfe326febef', '3a58b9a19697ebee', 'fe08a0854434930a']; context = [[39, 66], [16, 42], [27, 53], [103, 131], [132, 160], [54, 81], [10, 38], [32, 58], [167, 193], [104, 131], [0, 27], [6, 33], [207, 233], [17, 43], [69, 97], [48, 75]]; loss = 0.021677 low_pass_filter = 3.333
+Epoch 0: | | 1409/? [14:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/actitrain step 1410; scene = ['eda9a550ecd42a6f', 'f37017b7df9ed603', 'ab574acf68bf212d', '83f6f1d6f7bc3145', 'ecf44fdec12c9ddc', '532b4823217b37f4', 'ece06aa8ec578fc5', '3f1f6c65bc38ba4b', '4828d3b7ef441838', '5635caabe31c654f', '72655eb92e7a819e', '8379b59afe807099', '24dde142693c6090', '50ee87260cc88f0e', '0bc8cc9ea82a89cc', '6dd9362ee7bbe3df']; context = [[8, 34], [6, 33], [60, 86], [54, 82], [36, 64], [60, 87], [41, 67], [113, 139], [31, 58], [210, 237], [121, 147], [12, 39], [0, 26], [55, 81], [53, 81], [0, 26]]; loss = 0.020895 low_pass_filter = 3.333
+Epoch 0: | | 1419/? [15:00<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/actitrain step 1420; scene = ['3ffaae059b8246c5', '558803dadd5c8679', '74dcad37801d064a', '7b68110a36d9b598', '02e2b6f027f4aff9', '7fd22122081822e6', '10af229200d8e189', 'e6d9e5c4d1e6eac0', '2a1831b328268345', '20cf95b75308876c', '7d72b709f49b961c', '2bbe015bfbec987b', 'ba6091fde6e9ec9d', '758bbd2e1358d28e', '0129bec473cfcae2', '32e454614f4107b1']; context = [[188, 214], [16, 43], [87, 116], [3, 30], [117, 145], [20, 48], [52, 79], [7, 36], [29, 57], [77, 104], [53, 82], [26, 52], [193, 220], [24, 50], [57, 83], [7, 33]]; loss = 0.022088 low_pass_filter = 3.333
+Epoch 0: | | 1429/? [15:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/actitrain step 1430; scene = ['e04f7fb189a186f2', '00cdf8750f5182cc', '7aec8305761aba3c', '06021e71c89de687', 'f8fb59071f05cb6d', 'b4afa5f85689421b', 'c7ff883d4ef56b7b', '44ded41b9cf45aa9', '6ab57cd9157e6a56', 'a911a110601a4ca5', '8b4c32a747a57d29', '3aaf196cec8a2321', 'a7856fd2bf7abfff', 'a91273014e18ab07', 'cfb777727f710dcb', '3b66d0bc7c21a606']; context = [[92, 119], [192, 218], [194, 221], [5, 31], [4, 30], [93, 119], [13, 41], [26, 55], [26, 53], [93, 122], [115, 143], [57, 83], [37, 64], [82, 111], [0, 27], [49, 76]]; loss = 0.018732 low_pass_filter = 3.333
+Epoch 0: | | 1439/? [15:12<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/actitrain step 1440; scene = ['fe545b889554fa8f', '6016abdc3fcd547d', '53ab12b2fa864f2e', '1ebe5e9f0f00bd77', 'b3c1b2ae6ceafc55', 'de504bd8de0b34d7', '3a2b8f56c88c71d6', '2f64c3963a75cd2f', 'cdef81148d7e3223', 'f02194b56e76b29f', 'e82737e53b7f6515', '5045fe1323416a21', '4d654e6cd79fc099', '031d281bf02eb1e7', 'aecc01b48165f467', '01f2cacd6196c1c4']; context = [[108, 135], [45, 73], [63, 91], [56, 82], [25, 53], [83, 110], [26, 53], [27, 56], [28, 55], [115, 142], [36, 63], [9, 38], [22, 49], [14, 43], [167, 194], [1, 30]]; loss = 0.020766 low_pass_filter = 3.333
+Epoch 0: | | 1449/? [15:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/actitrain step 1450; scene = ['471727b63053034c', '9a72f13665828446', '15ee0149c03dabf0', 'ed09c2c104691f41', 'e69bc9dfa8547753', 'd87ee6c5ee767299', '5220b6dddbd2b6c5', 'f2133cf68e6b7993', '6238b9bd511fd87c', '5167dc2231bfec63', 'fc8deaf763806c66', '956df4359a5b3ced', '467e6cb4bcb7fc53', 'fcb1af0ebe6926c7', '851ada2e51906f3c', '90bdc80baa33848a']; context = [[33, 60], [77, 105], [81, 109], [6, 35], [2, 30], [1, 27], [25, 51], [11, 40], [39, 65], [10, 37], [22, 51], [235, 262], [72, 101], [32, 61], [3, 30], [183, 210]]; loss = 0.018045 low_pass_filter = 3.333
+Epoch 0: | | 1459/? [15:25<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/actitrain step 1460; scene = ['024302734be23cfb', '283653f302cda895', '54b4679cff88a6e7', '8926ee7e50292e45', '4bae5fcc074c77ef', 'dc7049ad80e43f68', '22aabb68991097e2', '19c383ad9f21d0d3', 'f53ae42fd04748b9', 'de389793b2411ed3', '24a1a6c52a633727', '2390b6d9b2bf70cd', '56475aa6dd366e20', 'd6df31b91d86f26a', '8e94de9c1bc0732c', '4088226cf84d6641']; context = [[141, 168], [54, 80], [165, 191], [13, 41], [16, 42], [38, 66], [24, 51], [63, 90], [129, 156], [58, 87], [62, 91], [0, 26], [0, 28], [190, 217], [16, 45], [66, 93]]; loss = 0.018557 low_pass_filter = 3.333
+Epoch 0: | | 1469/? [15:31<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/actitrain step 1470; scene = ['39e7fa32d953fa6e', '13e0eb10aa5c845a', 'd35650707515c2cf', '8255b64ea7989de6', 'a781aa9c808d47aa', '5dd56196ee851032', 'bdccb33a12175af6', '4aa5669dc0c886cd', '4fd056d18c23b0a1', '14a04b4cda7ef5f9', '4615200729431cf9', 'e9e869bfb9e91e85', 'a2ca64e40c8e4504', 'e7066bc6213cf70a', '7a23fa2da5188bc2', 'f0d2efc6de8d8e8e']; context = [[39, 67], [4, 32], [12, 41], [8, 37], [25, 51], [98, 126], [84, 110], [24, 51], [32, 60], [109, 136], [5, 31], [28, 54], [53, 81], [46, 75], [51, 78], [88, 117]]; loss = 0.021086 low_pass_filter = 3.333
+Epoch 0: | | 1479/? [15:37<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/actitrain step 1480; scene = ['c99f7cfff2a3a558', 'a911a110601a4ca5', 'a91273014e18ab07', '7b972598112bba1d', '8b4c32a747a57d29', '9e15e6abde58ecd0', 'cfb777727f710dcb', '44ded41b9cf45aa9', 'fe14169fb3dbe5b6', '5fece0c061a8e0fa', '3aaf196cec8a2321', '01321cb2acbc1789', '6ab57cd9157e6a56', '3b66d0bc7c21a606', '29e66187adc8109d', '3613d171a64c1db1']; context = [[67, 95], [50, 76], [13, 40], [208, 236], [113, 139], [2, 31], [0, 26], [21, 50], [44, 70], [145, 174], [44, 73], [6, 33], [7, 36], [10, 38], [65, 92], [1, 27]]; loss = 0.018371 low_pass_filter = 3.333
+Epoch 0: | | 1489/? [15:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/actitrain step 1490; scene = ['8b97a226a5f0dc3e', '794f82190c77df55', '78a6eeddf60f13a9', '03a2379e89a8ee14', 'a6a55b3c0ac5e758', 'a47bcdf9bd890995', '225dbb89dbfdf8f8', '791ac11a2f29900e', 'aaea1523d175b491', '7c9d80ba810387fb', 'dcbeb67f1bb0a7a8', 'ec5e23007d81eb4b', '9e6c6fe2b6792e07', '5dac4899d6e4b6f3', 'c3650e874d310a95', '2601f8212a78888f']; context = [[19, 47], [74, 102], [26, 53], [45, 73], [81, 109], [10, 36], [36, 62], [0, 26], [0, 26], [46, 75], [208, 235], [54, 83], [5, 34], [64, 90], [13, 40], [27, 55]]; loss = 0.020935 low_pass_filter = 3.333
+Epoch 0: | | 1499/? [15:50<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 1500; scene = ['9d228d632f9612e9', 'e594526318450281', 'd3c7f6d65edf8757', 'bbbeff434b0e07ca', 'cc1fdafaa596fd5f', '4e69e5f13b240972', 'e39f44aa52d64b39', 'ea64386468ff288c', 'e332dd5c810753ef', 'da97370838c47a7b', '09939f6760e4afa4', '47ef1b5ed7e0f8bc', '5f414af9d6abc978', 'fd5bc65336819ceb', '5d72c6acb49bc440', 'd256c361e38b972a']; context = [[10, 38], [17, 44], [37, 65], [33, 62], [18, 44], [56, 82], [24, 53], [4, 30], [200, 228], [26, 52], [0, 26], [143, 171], [34, 60], [31, 57], [5, 32], [16, 43]]; loss = 0.018515 low_pass_filter = 3.333
+Epoch 0: | | 1509/? [15:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/actitrain step 1510; scene = ['bc2eca34027df8aa', 'fd388b248d1231eb', '59e7c3a5fcd5bf16', 'de2ea3a3d17f95b0', 'c4359a079e27d441', 'e68309f89fff255d', '1b6ebc703d3b9697', '8b79d5fab54f0f41', 'a52ee89267dfab70', '75a614e20d102201', 'afb01e1fb64e03e3', '4263e8ea79e1dc7c', 'c6b5d87ebdfdd4cc', '6b4e165700878c6a', '1e6fb6563254c02d', 'f029bf7237a8d92b']; context = [[70, 97], [15, 44], [112, 141], [56, 85], [26, 53], [47, 75], [9, 37], [8, 35], [10, 38], [160, 186], [30, 57], [10, 38], [6, 32], [44, 70], [62, 89], [159, 187]]; loss = 0.021916 low_pass_filter = 3.333
+Epoch 0: | | 1519/? [16:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/actitrain step 1520; scene = ['f9b775ee94d60763', 'fc434865599d2fe6', 'ed41e978b59c7dcd', '4009a342664a96e1', '893b447be20a73fc', '85b956080085cac5', 'f346ad8f09bae95a', 'f7f0c6e26e4ba0f5', '4690c960b7afdb40', '98735bf18e9d2a52', 'e7ae5d42e1d888df', '1b038d91bdcbbf7f', '1cf2b8e0bc0a89ec', '767b618a563c7623', '2fc891cada0f22a9', 'e5ced938ccba70aa']; context = [[21, 47], [16, 43], [92, 118], [74, 101], [68, 94], [27, 53], [27, 54], [68, 96], [74, 101], [12, 40], [54, 80], [6, 34], [67, 94], [22, 51], [18, 47], [18, 46]]; loss = 0.021687 low_pass_filter = 3.333
+Epoch 0: | | 1529/? [16:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/actitrain step 1530; scene = ['5bb48faff3b8852e', '321addf5693a66aa', '544eb83e4b6b4fc7', 'cfddf9bb9307d661', '34b27a38dcff837f', '75cd9075433f968f', '246448e7e0c09732', '7c48a30f23ea42c3', 'd3601198fe370da6', '6f9a3dfc789b9a51', '61d389bddcbd9228', '79c0857364ffcef4', 'b1b0ca45bc020beb', 'f8f81ce73652f17b', 'ceeffa13358a48e3', '62e8f32c902fe339']; context = [[17, 46], [65, 93], [196, 223], [134, 162], [10, 36], [4, 33], [42, 68], [45, 71], [15, 44], [38, 66], [82, 111], [160, 186], [85, 114], [220, 249], [44, 70], [13, 42]]; loss = 0.020870 low_pass_filter = 3.333
+Epoch 0: | | 1539/? [16:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/actitrain step 1540; scene = ['98f99d46d0b636c6', '1e55d866b0335343', 'c520e25d5bd303ec', '7ce59b93cd4d98ac', '30878b54736367da', '37f5c9bd33e92d4d', 'bfa9042d0f35d6df', '63d30096d9447949', '69a31234f2d534f3', 'ecd91cb5b8acbad9', '27df9ee1be012ff1', '9df62c48e94a6bd2', '8b6c25d98b699b6d', 'fda12c961edaa2ed', '46fba2ccb0c2f48e', 'e0c4d841d11abf19']; context = [[5, 33], [20, 49], [2, 28], [18, 45], [9, 37], [87, 116], [23, 52], [5, 31], [47, 73], [82, 110], [85, 112], [1, 27], [12, 40], [64, 90], [209, 235], [118, 145]]; loss = 0.023114 low_pass_filter = 3.333
+Epoch 0: | | 1549/? [16:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 1550; scene = ['c7515b2d8304ab3a', '9badf4ba1f34f120', 'e048704f3f590ba8', '6e2c73ab63bf5e87', '081919bf31bf790c', 'bd242939c1449d8e', 'baebb7f6b21b1b2d', '3536319c169d43c0', 'b18ac63baf4baee0', '1b7697fd8dfb8717', '07a7501a512358e1', 'c6c0e46d5daafd20', '08751a636714627d', 'c85ef98584c441bc', 'ec56ecaa7be14db0', '7d6c1fd4e7714f22']; context = [[92, 119], [2, 29], [6, 34], [62, 91], [16, 42], [42, 68], [66, 93], [3, 32], [21, 48], [40, 69], [92, 121], [50, 79], [9, 38], [27, 56], [106, 133], [6, 35]]; loss = 0.017505 low_pass_filter = 3.333
+Epoch 0: | | 1559/? [16:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/actitrain step 1560; scene = ['5352c49242ed5ea8', '5398df70fa449fe6', '5a6f0d61f1e3b83b', 'dea0ecb2d7c064ef', 'f5bee2606e50f3a4', 'aae540ebe4c9f468', '4c823fb946d4ebbd', 'da557a6ffdb660ed', '7dd925c36cbbbbe1', '4395c655707708d7', 'd2e8cf4e3a7c7091', '5e338d0edaed69c9', '1923c17bba10fce6', 'b0ef90705c30b216', 'c2c736c54d6b4374', 'b01df43c4e798a4b']; context = [[184, 212], [12, 40], [56, 82], [247, 274], [10, 39], [67, 96], [11, 40], [9, 38], [18, 47], [155, 182], [34, 62], [7, 36], [30, 57], [119, 145], [6, 34], [66, 94]]; loss = 0.016826 low_pass_filter = 3.333
+Epoch 0: | | 1569/? [16:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/actitrain step 1570; scene = ['77844e25d2ac0876', '39b9066d2c942085', 'af90a0a7bfb09e86', '61b8e9a04d4980ba', '33bc577abb7897e2', '32e727d8ae7909eb', 'ce4e90b4e5ffd2cd', '84216623fa45999d', '48ebdb7d05dd5aaa', '16089827ac8bfe5f', '4cf19d6a6670c140', '06b7373c3e1db7c7', 'd1cec066a405c001', '58a0b181f4b085a4', 'f4c2db072efcdcd5', '74773d453af13ca8']; context = [[188, 216], [144, 170], [19, 45], [34, 61], [3, 31], [64, 93], [11, 40], [90, 117], [1, 28], [43, 71], [102, 128], [26, 52], [7, 35], [30, 57], [30, 56], [19, 45]]; loss = 0.017295 low_pass_filter = 3.333
+Epoch 0: | | 1579/? [16:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/actitrain step 1580; scene = ['cc0f96cc71a6dd66', '6ad946dc7c7a5ae7', '589eca489876d5ce', 'fcc7db4ad1f2444f', 'afbf21db765f449f', '96489fd56f875313', '1ab73610902ef496', 'c24e778228e92bab', '129aa9e63c248582', 'b57c94bebfabeab0', '9dace42deebd482f', '87b39fab5d5d0845', '73b234b2701f10c5', 'd91d1e61f45fa172', '6229b68244a2eed7', '5799e71ce876391d']; context = [[45, 74], [179, 206], [25, 54], [42, 69], [8, 35], [29, 56], [54, 80], [3, 29], [67, 96], [10, 37], [67, 95], [15, 41], [37, 65], [2, 29], [29, 55], [97, 126]]; loss = 0.020183 low_pass_filter = 3.333
+Epoch 0: | | 1589/? [16:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/actitrain step 1590; scene = ['90510b024ab61074', 'af639164a8dc63fc', '58e8608524c8af53', '687162e3d133187e', '49d6b79b2517c1ec', 'c00094fc65365c02', '2845ebc375b64680', '644288bfbc415e99', 'e468dbe028f3fcbd', '395b94f7cf747d1e', '15f15ef3017065f6', '771aa992eae9a574', 'c6335bb1ed4feee6', '41ce692db2b7b72e', '1c8182e508006626', 'a28f41ab97fb6368']; context = [[22, 50], [35, 63], [11, 40], [6, 33], [39, 67], [18, 47], [0, 27], [117, 145], [27, 55], [84, 111], [69, 97], [15, 43], [44, 71], [22, 48], [56, 84], [116, 142]]; loss = 0.022999 low_pass_filter = 3.333
+Epoch 0: | | 1599/? [16:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/actitrain step 1600; scene = ['7c74fdf4ac7c8a4d', '07f8f5682ad750c1', '8f55e3be4fc8d508', '43073eb89fa57d37', 'cde7d671fa8d61ac', '6cccd894f3eb33c9', 'b71b2b74b1ffdf3e', '7cd094b7d8f5bfd9', '031747e0c810d3a9', '11d03c85eb29a783', '82ccd88cc5bf3f8d', '22a76d98bd2d748e', 'caa046f2d8a89f48', '794b1f61bb53511e', '652f860523c0d63b', 'da1ec5bea0dee3d1']; context = [[82, 108], [1, 29], [3, 32], [73, 99], [1, 29], [27, 56], [125, 152], [43, 70], [1, 28], [42, 68], [105, 133], [3, 31], [60, 89], [18, 46], [99, 126], [93, 122]]; loss = 0.019761 low_pass_filter = 3.333
+Epoch 0: | | 1609/? [16:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/actitrain step 1610; scene = ['0144de7e0f137b77', 'bca3877f59d640fb', '57970e0833b5963c', '7dbd9d5adbc298b4', '9a6451d7cac94bff', '73aa6a629b161d6d', 'f4bd64444124a20c', 'e24bcd02fb1d6e1e', '8ac6426cb060bc50', '6a50dc3720276e24', '1afdeca5e59e0ac3', '8b828069f8f824a6', '6d8e7a426f555248', '6415de64be8a1d74', 'eb045b0c67e1cc71', 'a1964349d4f19aa0']; context = [[113, 141], [30, 57], [34, 61], [15, 44], [3, 32], [0, 29], [11, 37], [28, 56], [49, 75], [34, 63], [124, 151], [195, 222], [187, 213], [29, 58], [150, 179], [128, 155]]; loss = 0.018630 low_pass_filter = 3.333
+Epoch 0: | | 1619/? [17:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/actitrain step 1620; scene = ['7b6eabbbf765f5d2', 'd47e75b15999fbdf', 'f70e634ec33f861e', '302dce331d4fae7f', '3f46d18800b31883', 'c95e9f2c9f8fbcab', '0ecb8e2597c98e05', '438b09876af8f04e', 'df8aed95e105f065', 'f9b3fd7bc45c853a', '01df58c292aa0310', '1b4c3cfe64fe6067', 'a9909b47ff5dd70a', 'c35dc20bc06a5dbd', '23db21e00f2d8776', '350ee2da20bba2be']; context = [[18, 47], [57, 83], [38, 64], [3, 29], [66, 92], [20, 47], [72, 98], [28, 54], [201, 230], [5, 33], [192, 221], [109, 135], [7, 36], [29, 57], [181, 208], [5, 31]]; loss = 0.018081 low_pass_filter = 3.333
+Epoch 0: | | 1629/? [17:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/actitrain step 1630; scene = ['26f11847ab7e1b55', 'a7dbd6c8a26b2dbe', '256ae648672281d1', '65fce5bd0d83d483', '93dbd8286e9b7ad6', 'd4947e4e6e324253', 'e70c21625fceaebd', '1e8715fa89b98696', '71da350128beda8e', 'a4a176dcde73ea17', 'f451336748d9ee77', 'ac8df6252c2b8715', 'aa70400f2fc7e975', '5fa60eb00fe9c983', 'afd1b26a7b3f5833', '0c7cadc659ac1393']; context = [[45, 72], [70, 98], [20, 46], [50, 77], [8, 37], [19, 48], [6, 32], [19, 45], [5, 32], [131, 159], [0, 26], [8, 37], [14, 43], [0, 29], [13, 41], [33, 61]]; loss = 0.019754 low_pass_filter = 3.333
+Epoch 0: | | 1639/? [17:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/actitrain step 1640; scene = ['895afd0d96e88ca8', '42945d638bfac537', 'b5de00eadafc31e2', '947b9b324827c237', '7f6dd3575ff20309', 'd432223d014b318d', 'ff4177c802659351', 'c6252c821a5310db', '6fc575ee0d5ba914', 'de85f42958581743', '39e99101dae5b664', '0167c4f60f8d3edb', '07bc9cea7e787460', '0a5d9bd1a512c498', 'be525cda9f20912b', '75d0d7f85e197e5d']; context = [[13, 42], [36, 65], [3, 30], [38, 66], [45, 74], [14, 42], [27, 54], [0, 28], [1, 28], [19, 48], [22, 51], [4, 32], [16, 44], [154, 181], [66, 92], [34, 62]]; loss = 0.018135 low_pass_filter = 3.333
+Epoch 0: | | 1649/? [17:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/actitrain step 1650; scene = ['9966fa446a4eab97', 'ea3815a5ada77b49', '2eb1524cf08cff1c', '0b5e70691d8cd7a6', '4acc7a6d996e102f', 'b6cc5bc6ed31f2a0', 'ebab476bb06eeeb0', '3e1333cca3b7486b', 'c06dc1d24e73b1b6', '0674107d490c6586', 'bd65472b54f34717', '3a93864c87776b40', 'a508ee63269e07be', '233dc4174425622c', '3954a34db791a545', '3223b6f6751310f8']; context = [[110, 138], [216, 243], [60, 87], [33, 61], [138, 167], [51, 78], [27, 56], [40, 69], [61, 89], [145, 171], [114, 143], [34, 62], [164, 190], [9, 35], [5, 31], [23, 50]]; loss = 0.019644 low_pass_filter = 3.333
+Epoch 0: | | 1659/? [17:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/actitrain step 1660; scene = ['cb3f9a003c272957', '0e52526ad6ae0cbe', 'd7beff4d08f7f7c0', '649dace86011dd52', '252eeea290153060', 'd5a3940bb6a3363e', '032961ac14c9b53a', 'fb46a820975c2449', '17305b0b98053dee', '90a599cbae3f7f49', '31f802c4d94b2a8c', '259d50e9e6434426', '4be99782bb201a87', '9c437a1ff26fc63d', '3ca9f2ea058b7220', '20728de310f17634']; context = [[112, 140], [143, 170], [52, 80], [85, 114], [17, 43], [89, 117], [39, 66], [17, 45], [160, 188], [131, 160], [7, 33], [5, 34], [57, 83], [76, 104], [89, 117], [32, 60]]; loss = 0.018709 low_pass_filter = 3.333
+Epoch 0: | | 1669/? [17:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/actitrain step 1670; scene = ['ba8254c9d0eb8a6f', '1c7fcb270b14fe08', 'f0ebdc3c38328266', '89162229eabb3797', '231f647344adbfe5', '3c2562d841d087ac', 'a864af7ee1e31eb0', 'f281ad937282c080', '708f9f5df8fc6ed0', '5d709e068e3236cc', 'd481fa99ea0ed419', '79f4dd50557918b7', '54b26b7357f81c78', '7d38d8fbf560e9cd', '8dece22e0e59e1eb', 'b1dbb5ecb3d46dbf']; context = [[22, 48], [95, 123], [13, 42], [73, 101], [64, 91], [64, 91], [113, 141], [154, 183], [11, 37], [0, 26], [155, 183], [47, 74], [13, 39], [2, 29], [11, 37], [73, 102]]; loss = 0.017113 low_pass_filter = 3.333
+Epoch 0: | | 1679/? [17:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 1680; scene = ['711a29d5a720879b', '727208bc2af4c8a2', 'c7515b2d8304ab3a', '240199c68e19e362', '49cf65f63721a3ea', 'e048704f3f590ba8', 'dd0635f073625657', 'b239e4af87eb8638', 'bb4a8f32e82e7faf', 'e69daba3949f3936', 'bca125d17728c7b7', '3410860af4c5cf8e', '9badf4ba1f34f120', '07327085a69696c3', 'b04afb4bbc4f0035', '5a3cdd499c219bf1']; context = [[4, 32], [49, 76], [167, 195], [23, 50], [126, 155], [59, 88], [36, 64], [55, 82], [77, 105], [97, 123], [20, 46], [75, 104], [2, 28], [102, 128], [81, 109], [18, 47]]; loss = 0.020434 low_pass_filter = 3.333
+Epoch 0: | | 1689/? [17:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/actitrain step 1690; scene = ['87975b8c008e3881', '4d11271b1bb07072', 'be3f0829965782f5', '8eced2dc34158d45', '36e7fe54179381c7', '71b33347677e1207', '53a4687fe4c80864', '97c0bf305efadc77', '40ed2cb104667242', 'c257137f595faafa', '840394639a2b1320', '31e356b9fe421e30', '4930a1bdadca5861', '5cc16e3f7aaf0112', '82b9f261da55d52e', '78bf4639eab831ff']; context = [[2, 28], [71, 100], [0, 26], [28, 56], [16, 42], [61, 87], [36, 62], [33, 62], [60, 88], [6, 35], [10, 38], [14, 42], [9, 36], [11, 37], [29, 57], [19, 47]]; loss = 0.019911 low_pass_filter = 3.333
+Epoch 0: | | 1699/? [17:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/actitrain step 1700; scene = ['fd840aefa49b09d3', 'be3290ac59571445', '2de19cb1c144c8b4', 'd0c8bd037dd1a8ba', 'ca1925532ad236a0', '83723529771921b7', '0032c663bb6d838e', 'ba044124b9e7261c', '4762616d9149433e', 'ac090d5fdb989475', 'afd79cf17dab3e39', 'ac9aec32ea6234c2', '74cf66be9d66c8c2', '9ab195e4a4c1e26a', 'bf2209a2538edc1c', '9b31c4820fa50473']; context = [[66, 94], [27, 53], [51, 78], [184, 211], [66, 95], [22, 50], [10, 38], [55, 81], [157, 185], [41, 70], [154, 180], [18, 46], [0, 26], [36, 65], [13, 41], [24, 51]]; loss = 0.021066 low_pass_filter = 3.333
+Epoch 0: | | 1709/? [18:00<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/actitrain step 1710; scene = ['95cd93e95dffe35b', 'ddabe0fc995cbc39', '1afd39e5280277bb', '9abe0db0374db859', 'b68cfe04fa83d13a', '677748baf15925e0', '70a51dc88d4ff701', 'ff48623caeaa8f9c', '57be712fb0ea2f4a', '966fe01da602a653', 'f427a711c9d913d7', '7634ccdf6c344129', 'd7435afbd0b0a8ae', 'd245364fcccb1139', 'b1b3e987c23640dc', 'd61baebe55920a9c']; context = [[3, 31], [2, 30], [169, 197], [41, 69], [15, 44], [32, 59], [1, 27], [40, 68], [24, 51], [63, 91], [41, 67], [55, 81], [1, 28], [9, 38], [37, 65], [5, 32]]; loss = 0.019712 low_pass_filter = 3.333
+Epoch 0: | | 1719/? [18:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/actitrain step 1720; scene = ['d428826914bed12d', '9d52321034c270c0', '6cdbcf635b46fa7a', '341986d27509ff20', '4f169d470b87ffd7', '199a9ef5a23a3db9', '43dc5c8c8859dc3c', 'bb6af706745a579c', '1cfcb6959bfd3834', 'b43fed931703ab76', '5406f3e3f53b842c', '4f41b0ce610b9bc5', '6545dab9a4699ef0', '837d2467631c6e6a', 'c3f1d0f6da5ce21d', '1a402532663d05ad']; context = [[29, 57], [15, 41], [12, 41], [60, 89], [12, 39], [117, 145], [37, 63], [46, 72], [27, 54], [61, 88], [1, 29], [10, 38], [2, 31], [79, 105], [153, 179], [75, 103]]; loss = 0.019477 low_pass_filter = 3.333
+Epoch 0: | | 1729/? [18:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 1730; scene = ['24796eab91d76073', '220e75fea8b7f497', 'dc58b6b45320567e', '24347fd8b78724be', '3f82d3a888aa338a', 'e7449658b8889d97', 'd2bda0901d3ee82c', '0cb234443d24b50f', '034dad4d1889371e', 'ffbbacafa10e1711', 'ea447aab2dac7662', 'cfc61eb87df87ae0', 'c8d797f57b4dbc0c', '304c15cc24ffac86', 'be8f948f75a0a418', '775454bdea6893b0']; context = [[38, 67], [9, 38], [176, 205], [75, 104], [1, 30], [172, 199], [44, 72], [48, 74], [7, 36], [132, 160], [42, 71], [89, 118], [36, 64], [132, 159], [159, 188], [36, 64]]; loss = 0.018486 low_pass_filter = 3.333
+Epoch 0: | | 1739/? [18:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/actitrain step 1740; scene = ['c953d129166956cf', '3dbb2c1bc521b62e', 'fc8e5038180d1870', '5228c2104f8fae53', '32594792c3f9361f', 'b407aff58d0b2042', '171abcd04aba0f4a', '9d33be739ced144d', '9ca69f6a964f02a4', '8cb8c73ef19fd33d', 'bd918471f79c3d19', '273828188c93adb4', '618e9c0c539e9889', 'd8579245a3d5ad76', '4a2675dd01f283a4', '384827d938252ae4']; context = [[42, 69], [28, 57], [170, 196], [159, 186], [63, 91], [18, 46], [29, 56], [133, 161], [76, 103], [9, 38], [69, 97], [48, 77], [11, 39], [22, 48], [1, 28], [59, 88]]; loss = 0.018533 low_pass_filter = 3.333
+Epoch 0: | | 1749/? [18:25<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 1750; scene = ['562f4e6ffc1fa73a', '7adf869eb170f616', '045a00b4448730ad', 'b9ad9897e3b13dcc', '674b0b8d7a33588d', '525fe1b5f060ee0a', '82f673da64c6dd27', 'ce3829b629e8a38f', '69e94c1fd190cc2f', 'ccc0b3afc5deb0c1', '6e265cfc58ee5e9e', '5fb8e9b538312526', '2ece3814cb272056', '08fafa925134cccf', 'c35f0dfaf6507d58', '15872714425b381c']; context = [[98, 127], [7, 36], [78, 106], [32, 59], [43, 71], [0, 26], [68, 95], [47, 74], [26, 52], [9, 37], [41, 68], [12, 38], [56, 83], [121, 150], [25, 52], [148, 174]]; loss = 0.020610 low_pass_filter = 3.333
+Epoch 0: | | 1759/? [18:31<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/actitrain step 1760; scene = ['ba6b9051d2f9ac9a', '04f4d235d970d694', 'cf6bc43fbf8c8dd2', '29d7ac3298d00f4d', '6075fb811d2794e2', '2467dc0707ba0b41', 'ca9bea80d4e5bcdb', 'cc62a8c047cea639', 'd0920dbaced16c29', 'e558582f51260b69', '6b98e19060e46fb9', '8dbd94846f7400e8', 'd5965cafbae5226b', '4eb8e624b1601660', '19e2f6332391a33e', '4d809b298356061d']; context = [[22, 48], [0, 26], [41, 69], [6, 34], [119, 145], [52, 80], [54, 81], [24, 51], [2, 28], [27, 53], [108, 137], [60, 87], [2, 30], [27, 55], [6, 35], [40, 66]]; loss = 0.020262 low_pass_filter = 3.333
+Epoch 0: | | 1769/? [18:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/actitrain step 1770; scene = ['5a721534e874a9d8', 'ab717e6921f1e855', '2a652e3614e59c80', '6b16365848d1ad7e', 'aa2883136b009b8f', '26e89c85acbd3466', '76ee4ae91b2d6526', '2e2d0271a792d57e', '7d8df2e4469efdc7', '9cd0248a2fc79292', '76dae941ffcc3e94', '0e9e8dd84bc136de', '4be699c3e7ef0940', 'db3b613d2dda8b86', 'f0f9dc20febf63c6', '1a0c841bd063b70b']; context = [[142, 168], [8, 34], [4, 31], [28, 57], [48, 76], [44, 71], [82, 112], [34, 64], [5, 34], [57, 86], [28, 54], [36, 66], [0, 27], [8, 35], [65, 93], [15, 43]]; loss = 0.019867 low_pass_filter = 3.333
+Epoch 0: | | 1779/? [18:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/actitrain step 1780; scene = ['b4b8ae61f71c6318', '4b66bc17968e1d91', '844febece1121b36', 'cef967e6c2895c19', '4cff16e51b60bc1c', '2370a07a0d1e7930', '8f8fd92008130071', 'f15ab5fa73a8b30f', '0723036aaffa8c75', 'ff26955ac80e19c3', '930f0a917b4cfb3d', 'cdd61981792b29b8', '44389be039971d59', '06a2e5bec5c290ff', '054deb949142152f', '27f4e49e83874403']; context = [[16, 44], [80, 106], [6, 36], [154, 184], [131, 161], [91, 120], [9, 39], [55, 82], [59, 85], [48, 78], [12, 42], [9, 39], [1, 31], [133, 162], [21, 51], [135, 162]]; loss = 0.020156 low_pass_filter = 3.333
+Epoch 0: | | 1789/? [18:50<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 1790; scene = ['65f0e3e59c13bbf7', '6e382565509eee56', '42512ca51e222e21', '19c82c4edda91a31', '67fb1d1f68b8103b', '3ca99a6faf336ee3', '8ec369930c8cf16f', '171b7984269c478d', 'f6d65c637ff68de3', '2ad77eb190b91f41', '92f5676ecb7efbec', '729019c3de92b636', 'bfcbf333b49f18c6', 'b8c266ba9042dc2c', '17c07f3363ca18b5', '0f814dee0106dece']; context = [[196, 226], [1, 27], [136, 165], [22, 52], [51, 79], [110, 137], [13, 41], [6, 32], [8, 38], [57, 85], [59, 87], [2, 31], [78, 104], [2, 28], [7, 37], [39, 68]]; loss = 0.019252 low_pass_filter = 3.333
+Epoch 0: | | 1799/? [18:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/actitrain step 1800; scene = ['bc54192b89ee8018', '572f32e265ac87b9', '406b4a3292eccd0c', 'db4216b2a2281ce3', '44bc242930167a67', '1c40dd7f494f5c49', '6d2d7e8c12846ba9', '389e63d778d22e90', '42db4c46b6527336', '88de5a9dbaaced91', '83f0a5456f9b1818', 'ff2403c3a529c398', 'c491321e6678f76f', 'f13afb1b46890e37', '606a39f22e8d7b84', '9a30d3c547f96fb3']; context = [[12, 42], [82, 111], [21, 49], [21, 49], [25, 52], [8, 36], [178, 208], [128, 155], [5, 35], [8, 36], [81, 109], [48, 74], [30, 57], [9, 37], [4, 34], [53, 81]]; loss = 0.022255 low_pass_filter = 3.333
+Epoch 0: | | 1809/? [19:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/actitrain step 1810; scene = ['dd657030a3c637d2', 'de293aa708084e6a', 'cbd0fd68dc918e6f', '6755d1366bce2ef0', '5083347cfbe0fcbd', 'f045e2d4ef5b3fef', '7bb73771ab2e55e7', '0a4a18cdb7d53d0f', 'e95e823fe73b0689', '3dd40bedb474919b', 'e224df30b31181ad', '00552c0c18b00e98', 'bb4af41a0ec303da', '3e683c38d6cb64d0', '8e9e11147dbcba30', '6fc7d08ff0b3eaee']; context = [[31, 59], [31, 59], [35, 63], [228, 254], [34, 62], [23, 53], [102, 132], [243, 269], [18, 47], [17, 46], [198, 228], [174, 202], [22, 51], [9, 35], [71, 100], [4, 30]]; loss = 0.019493 low_pass_filter = 3.333
+Epoch 0: | | 1819/? [19:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/actitrain step 1820; scene = ['5fae3a38b69ea340', '11c3fd0ee0ff60c2', 'ef0a592337c999f3', 'da0a55bfc7ac0d7e', 'e2151e6bf7f90731', '8730a68b24c3678a', 'ace26d090e35b8a2', 'cae09ec1d132c91a', '7922209e3015f2be', '24668195926b0c91', 'ca32984655a98eba', '0ba56b76de23eac4', 'c2ca510a4a1617f2', '1f5c02c6a447177a', '2a64843febb83d4b', '611773875fdb8681']; context = [[7, 33], [49, 77], [63, 93], [8, 35], [9, 37], [52, 81], [49, 76], [8, 35], [52, 82], [118, 144], [39, 68], [26, 55], [48, 74], [145, 174], [5, 35], [17, 47]]; loss = 0.022586 low_pass_filter = 3.333
+Epoch 0: | | 1829/? [19:15<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/actitrain step 1830; scene = ['78f16e65c28d82c4', 'c3c0260ba0806d90', '7ffcfa668aa71831', '561a986c611a8734', 'b66f268bccc2b42d', '5de79a134f0f0a48', 'd9726ff650caacd5', 'a8a38028127a9a57', 'af142cb077445f32', '98e625c8549cc4f7', '247ae10c0370568c', 'ab4aef17418308cc', '034a1f45d506268a', '100e901f7029d4fe', '6f53846229e4d5a4', '4974d2898597691e']; context = [[0, 27], [16, 45], [8, 37], [14, 43], [54, 82], [59, 87], [11, 37], [210, 240], [90, 120], [14, 43], [70, 99], [7, 35], [36, 62], [11, 37], [45, 74], [54, 82]]; loss = 0.016505 low_pass_filter = 3.333
+Epoch 0: | | 1839/? [19:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/actitrain step 1840; scene = ['07659a0418a472c8', 'fd2dfd73f01c7262', 'f36ad32e649117b0', 'd204a75d5c724077', '56f2a813921b6d83', 'b488e28846b83d6e', '8e70b3b81a4b4c11', '73691a68196265a6', '6d12411b217f0b26', '96575798d7ecc6f8', '315f45e10716de12', 'db648bab28729a9b', 'b2c684cf937ba6c4', '452cde7ffeba4368', 'b6fd2b07eba91c9d', 'da35cc9b10471676']; context = [[42, 72], [64, 94], [0, 27], [104, 130], [1, 30], [27, 53], [44, 70], [64, 94], [59, 86], [28, 56], [20, 46], [49, 75], [180, 210], [74, 104], [39, 69], [77, 107]]; loss = 0.021870 low_pass_filter = 3.333
+Epoch 0: | | 1849/? [19:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/actitrain step 1850; scene = ['0f6c5c6a7157b7f6', '4f7e0130b1068114', '0f54778155d5fb15', 'fa0b5da578714df2', 'a7d704b0985c9640', '3d50dc48f74ae737', 'a6bee29ca4b79051', 'bda52ecfcef87a70', 'b34e0d2de4922a5f', '92c12779991d2c6d', 'f4169cc065e23946', '2e6a0cbdbcf21085', '4fb7456109baffbd', 'a6ac9800e1612d7b', '7697b3c244fd6d78', 'f4e2ad73e8e71b41']; context = [[71, 100], [49, 75], [30, 56], [0, 29], [0, 27], [61, 91], [22, 49], [41, 69], [47, 73], [14, 43], [70, 100], [77, 104], [58, 85], [52, 80], [112, 139], [40, 67]]; loss = 0.021285 low_pass_filter = 3.333
+Epoch 0: | | 1859/? [19:34<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/actitrain step 1860; scene = ['4c6e0eafc2e6c7ff', 'af219727b1aece30', '583ab14553881ee8', '934f1135995ecbd1', 'b6d96ca117b8b380', 'c3ed60b37d9cc075', '7e8beb820f189792', 'a46b24193229d8c6', '1f2195c33874e2a7', '6e7024d848c715af', 'c984f50b210590b4', '1ff7805b58fa8baa', '6f27c2a023c0495d', '2b023270623346dd', 'bb2a6aa230389112', 'e6e8cc906c35e6e1']; context = [[103, 129], [19, 47], [19, 47], [83, 111], [53, 82], [57, 83], [16, 44], [26, 54], [39, 66], [2, 31], [239, 269], [17, 44], [232, 258], [108, 138], [59, 85], [15, 43]]; loss = 0.021909 low_pass_filter = 3.333
+Epoch 0: | | 1869/? [19:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/actitrain step 1870; scene = ['8337ea841729afad', '84f1b2387fb4ed36', 'ae8bc0141db29362', 'fb0239ef9a6badcd', '52d8989a74a35e76', '80cef9332c5c91c7', '75ad4bc6ef1969a8', '346afdcdd046633a', 'f02ac87191a94f65', '9b0cc25536e4bee4', '8ed6bd5510e508fa', '381676b229abbab1', 'b34dd66d4d3ce335', '5d7cf77400ec9c60', 'ff1c09b5820fbf47', '64738f5c93012be2']; context = [[172, 199], [58, 88], [224, 251], [79, 108], [57, 84], [21, 50], [2, 30], [21, 47], [75, 104], [51, 79], [96, 126], [2, 29], [44, 74], [30, 60], [181, 207], [11, 40]]; loss = 0.022508 low_pass_filter = 3.333
+Epoch 0: | | 1879/? [19:46<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/actitrain step 1880; scene = ['958b9b173df2483a', 'cceab800023488f3', '50cf66a7122f2855', 'a5d896c07cc8008e', 'ce741ab39addbd9c', '93d3b5c3a5978975', '4bdf1d786c5b1e8d', '4d9a7d247630db3d', '2ebabd37e60ceef8', '6050e2ba7733cf5c', '4dba5f75b8ee0f43', 'e175be14e93ba0b1', '9efb1558283915a3', '1e69c0ba9e7fb023', 'c21f6c67e7509e1c', 'ec667fb58c6d3a6c']; context = [[123, 149], [13, 43], [24, 54], [28, 55], [55, 81], [20, 47], [14, 41], [243, 269], [130, 156], [0, 26], [23, 50], [149, 177], [6, 32], [53, 82], [17, 46], [45, 74]]; loss = 0.021681 low_pass_filter = 3.333
+Epoch 0: | | 1889/? [19:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/actitrain step 1890; scene = ['ef4a334b0a991e22', '504f38f5d0b716bd', 'f523413a42b1908f', 'a2bc2177cf70eab6', 'f720437b9f3f2185', '5b4e5590f2d212b0', 'd5d73e1025a23bae', '48c774ef9e59bfdd', 'e242d43a1ef0a6eb', 'fe2fce8e4eb8f882', '0a0b7d56d8bb16f3', '0722e6b29c398d78', '1e8f20a009268021', 'd6630f80b45ff8c0', 'c0d1a0581fea22d5', 'a55929a0ce757f40']; context = [[11, 37], [37, 65], [3, 33], [40, 66], [7, 33], [26, 56], [70, 100], [4, 33], [78, 106], [8, 37], [17, 43], [201, 227], [26, 54], [10, 39], [18, 44], [178, 208]]; loss = 0.019185 low_pass_filter = 3.333
+Epoch 0: | | 1899/? [19:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/actitrain step 1900; scene = ['de95779cdbeaa19a', '8e4f26e204962462', '0c7cb5d7206b8f56', '702d6cd812ef150c', '64327b991f165570', 'e45fd910f1e78bb9', 'dc4b01caf622c778', 'a895746dbfcae9fd', 'c53e0b350f04f159', 'd58471c80d3b334d', '351b8ee067a5b409', '69937c2efa2c110b', '4be6e03316270eda', '0a024fea841197c1', 'b159d0a343e96ba4', '6981e221db0b186e']; context = [[102, 128], [42, 69], [69, 99], [5, 32], [69, 98], [7, 33], [170, 199], [39, 65], [12, 42], [0, 29], [60, 86], [15, 43], [96, 126], [43, 73], [29, 56], [15, 43]]; loss = 0.016225 low_pass_filter = 3.333
+Epoch 0: | | 1909/? [20:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/actitrain step 1910; scene = ['c00455dcc165a68f', '0a1e871f9b315451', '815a4673285e046f', '06597971725e1577', '32eb9f3b07a73e91', '420dfaaf7a8f542d', 'a92a74acb10a8d04', '2259ebad30a3dde3', '050dc1e2ec4c944a', '4b47048124bb163c', '0d37a906aea762f9', 'ec89d2e3fb950351', '7018544e57f7f58a', '02118eb117ee2add', 'd13b7505cba629ac', 'da957d7a5ff98548']; context = [[58, 88], [28, 58], [41, 70], [37, 65], [102, 132], [146, 173], [4, 32], [89, 117], [12, 41], [163, 192], [57, 84], [22, 49], [17, 43], [85, 111], [15, 42], [6, 35]]; loss = 0.020079 low_pass_filter = 3.333
+Epoch 0: | | 1919/? [20:11<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/actitrain step 1920; scene = ['06678f70a4f95b2d', 'd0333dc4a7fe1439', '709476c26a219c69', '669108f020ce9326', '8291ffa5d473ed6b', '8b901a2a33f5ad6e', 'aa85f1d551661c8c', 'bcbd3ed453c1d5c5', 'e8f40e73fd9848f3', 'c3ed8d0890eca234', 'e7cb8f00fca8b54f', 'ac5ffad34ede2b27', '14cfc11be2d81617', '2636a68b00cbb8dc', 'c46cc0b22cf0e2df', '6c3c8af4da8a4278']; context = [[25, 54], [90, 119], [25, 53], [100, 128], [47, 74], [45, 72], [5, 35], [39, 67], [16, 44], [21, 51], [117, 146], [84, 111], [73, 103], [1, 30], [47, 75], [7, 34]]; loss = 0.016452 low_pass_filter = 3.333
+Epoch 0: | | 1929/? [20:17<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/actitrain step 1930; scene = ['62724e7e2af14f96', '077a814db8619777', '513aa200a2b07a1e', '0533d23dfb17f17b', '2da17464ef895b63', '789a1573a8a7f5a8', '39537fd202eb32b3', '66a324d8c0a8b80c', '9173a0f0f9fbfafd', '5991463c1d07dab8', 'a640a55439a43108', '190dc10200a1049e', '209e580d90d4644c', 'd2fe9517cb9179f9', '2463d599a3a85278', 'f5a9f0d1b2bcf821']; context = [[2, 29], [41, 67], [9, 37], [98, 127], [22, 50], [147, 174], [66, 96], [68, 97], [5, 32], [3, 30], [93, 123], [49, 77], [84, 112], [174, 200], [39, 65], [36, 66]]; loss = 0.017474 low_pass_filter = 3.333
+Epoch 0: | | 1939/? [20:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/actitrain step 1940; scene = ['80270eaee7eac592', '8c40e162a6c8015d', 'a832d41d446631a5', '53adc3b61850eaf2', '012ae7e6ae8eb7b1', '99f3ea3ba624fb0a', '518d43ab4678201d', 'd2b2a46171a7b896', 'a8ff01981f1c5b1f', 'bc9bb04ebe148fa2', '16c1284f8af2dbd4', 'e83ecbac7208136a', 'ff38b550a0d17bc3', '204bec5c71cc55e0', '15ffcb0d0b755cd4', '9d2f692bc13b2112']; context = [[21, 51], [12, 38], [6, 36], [49, 75], [6, 35], [18, 48], [6, 36], [23, 49], [22, 48], [14, 41], [61, 90], [212, 242], [12, 39], [12, 38], [71, 98], [0, 30]]; loss = 0.018462 low_pass_filter = 3.333
+Epoch 0: | | 1949/? [20:30<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 1950; scene = ['39471e2adb4414ce', '85098f10e7c0d7f1', 'b3569c0aa91a5faa', 'c5105a963e0519d3', '0c8af3fa6aa60dea', 'f904ba6dd57174ee', 'a86c32a25b92f015', '6bbb1f05446d7e85', '186527ca122469cf', '66d961bc0d0aef7f', '74d6913ef306badb', 'd68dedb9478e3934', '05eb05f4a63e0df6', '53e0ab24e36b3f93', 'e3a85631198a6eac', '2ae079dcad63c1c1']; context = [[2, 31], [244, 273], [51, 79], [26, 54], [13, 39], [202, 232], [92, 121], [11, 37], [15, 41], [151, 177], [177, 206], [2, 30], [43, 73], [55, 81], [38, 64], [119, 149]]; loss = 0.017467 low_pass_filter = 3.333
+Epoch 0: | | 1959/? [20:36<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 1960; scene = ['999d1dc292628db0', 'ceba0c9064ef2075', '9168f179a84dcc90', '32b6934068c002f8', '2d5886bd890632c6', '27ecc84dfeef35d6', '467c7103dccd9914', '92ae0064b7c18b99', '9122be71240bb162', 'bb518b3a290d5e83', 'cac37e977aa56490', 'ae76b3fefecf973d', 'd670e439d6d9ae8f', '7dbd9631683c5ae8', '7426a108ff0bd8f0', 'c1184830a0171bea']; context = [[77, 107], [188, 215], [17, 46], [83, 112], [102, 131], [30, 60], [34, 62], [119, 146], [248, 274], [71, 99], [48, 74], [3, 30], [41, 68], [10, 40], [153, 179], [110, 138]]; loss = 0.021223 low_pass_filter = 3.333
+Epoch 0: | | 1969/? [20:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/actitrain step 1970; scene = ['a21663cc408933b1', '667babf0fad704e2', '31e401bb67efe674', 'a37837d87e1e6ad6', 'e0bbf0c641a19362', '9d4bb6a040f3e82f', '02ae101d68a2304b', '9bae213a2e0667da', 'c2d56785690fef5c', '00210fcc783d3fcf', '1ccc8946d683d79c', 'bc29873beb100836', '33bf51a57dd21baf', 'c0de137715b6bcb4', '97d48083a9c554ef', '29afe36e4ba597f5']; context = [[42, 72], [91, 120], [87, 114], [127, 156], [18, 48], [226, 254], [22, 50], [38, 66], [91, 117], [7, 34], [79, 107], [113, 140], [71, 97], [144, 172], [24, 52], [32, 59]]; loss = 0.020536 low_pass_filter = 3.333
+Epoch 0: | | 1979/? [20:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/actitrain step 1980; scene = ['ed0a1cc02c8e4c4c', 'ed41dd96081cbfd3', '04c91df50afd1792', 'a9078505733cf9d7', '96ce5de416a83b88', '3965a7b13519ef13', '7ee233bf0f5ae3e4', 'efcc78e944058193', 'eccf1570ab9503ff', '5e5f701fe882a93b', 'd53e34588589505c', 'ea4dc2ebdb122af5', 'a913e7af2361fa6f', 'ebe7deb04669edf3', '3de1498cc3dc5051', '5e90ad5c785214d6']; context = [[15, 45], [3, 32], [13, 43], [30, 56], [5, 35], [170, 199], [173, 202], [43, 72], [25, 51], [25, 54], [39, 65], [73, 103], [10, 37], [35, 62], [12, 40], [35, 64]]; loss = 0.021503 low_pass_filter = 3.333
+Epoch 0: | | 1989/? [20:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/actitrain step 1990; scene = ['0664d28ff022567f', '8b5445c6d9f66465', 'ecd8c42096f0d5c0', 'c2faca71d6805a59', '372f99da54848103', 'de6a28eb6502eb21', 'b86ba5945ecd1fb4', '1d3156ba2c41e96c', '1d5672551ec2e691', 'ce043aeec92138f1', 'fb003d082b1c3ed7', '3d5a6102484db5cc', 'e43e90ff27df512e', '024a1070b701d9a8', 'ead9aabd27eaff8a', 'c93a3485a63a06cc']; context = [[15, 42], [22, 49], [73, 100], [38, 67], [72, 99], [66, 96], [30, 59], [5, 34], [8, 37], [31, 58], [93, 121], [61, 91], [66, 96], [17, 45], [48, 77], [12, 42]]; loss = 0.019297 low_pass_filter = 3.333
+Epoch 0: | | 1999/? [21:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/actitrain step 2000; scene = ['9b8fd789ba8b27ca', '59d773c1b4f4dfff', 'da3e37eecbffd10a', 'e18e70c8df6d6592', '451910a92ec33436', '36efa0302d3d907f', 'c4a3413589327422', '47a60f3119c7d7e1', '9aaf2fb99119da87', 'b9742ce1c37c2e9c', 'a90891be6da25ea3', '692abad1fd72e99b', 'fb45e23f9bf03543', '6ec535bb9a1004bd', 'c420be3f96474307', 'cb1c56ca451aeaed']; context = [[225, 252], [208, 237], [13, 39], [36, 63], [0, 28], [28, 58], [1, 28], [8, 37], [142, 170], [190, 217], [28, 55], [16, 44], [14, 43], [32, 59], [14, 42], [104, 130]]; loss = 0.020509 low_pass_filter = 3.333
+Epoch 0: | | 2000/? [21:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/activalidation step 2000; scene = ['73d6f935f31b3fd4']; context = [[15, 45]]
+Epoch 0: | | 2009/? [21:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/actitrain step 2010; scene = ['1c3e848e9fd120da', 'f45d89e13c989cb5', '9af973da0db34710', 'c66734fadc2a7e5a', 'bb48e2d74b804b95', 'f8e1dd1b4d8d2f01', '6b6ecd758a2161af', 'df03ba10b66f2473', '5e041af008e49e96', 'b65da7000a104086', '6662695dfbebb0f0', '9cd867f121e491ae', '7bf3bcfa70187760', '627c748bee352f2c', '81426f2270c3b08e', '380095e3b8c5f7bd']; context = [[46, 74], [104, 131], [25, 51], [0, 30], [166, 193], [60, 88], [7, 33], [209, 237], [35, 62], [34, 64], [20, 50], [26, 56], [42, 72], [41, 68], [24, 53], [1, 31]]; loss = 0.024947 low_pass_filter = 1.111
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 2019/? [21:15<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/actitrain step 2020; scene = ['2880a663fcd65ac8', '537ccfcaa8ec8508', '20b6018d5a3cb474', '791ee73a5a8b0dea', '6dc9af195dcf0f4b', '177febf140d5e51d', 'f3720bf52932b648', '0bcfc80a4cc34924', 'fa88f170831e7ec4', '1cf5859280ae575f', 'ff133f07dd0f56e6', '6a6c5a32f8f02bdb', '8bfda6dd800bc537', '04f63588697b6364', '75a2928db20842a9', 'eecd754ee0bdbffa']; context = [[68, 97], [67, 97], [9, 38], [245, 274], [42, 69], [41, 70], [74, 103], [4, 32], [21, 50], [68, 98], [17, 43], [73, 101], [2, 32], [207, 237], [36, 65], [14, 43]]; loss = 0.018885 low_pass_filter = 1.111
+Epoch 0: | | 2029/? [21:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/actitrain step 2030; scene = ['97bb49da6db4ba71', '2800468d7b4c451a', '4109501e6b924539', 'f162964213bec801', '70618a29f2715285', '9adc772b1760c9fd', 'd4f9b7f5a436bc5e', '1042daa8f8fd2955', '7fe66601858b37dd', '5c140178a8c1b76e', '63cedce5caa10d40', 'c1b5b7779a98027d', 'bf48f07f09565e35', '39e8cbb0f678f5e3', '658d5216501736d5', '181157826ea13ab5']; context = [[24, 52], [22, 50], [24, 50], [24, 53], [25, 53], [111, 137], [35, 61], [0, 30], [13, 42], [5, 32], [21, 47], [229, 256], [135, 161], [51, 78], [26, 55], [13, 42]]; loss = 0.020724 low_pass_filter = 1.111
+Epoch 0: | | 2039/? [21:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/actitrain step 2040; scene = ['51386d82afab8d56', '006477bb9bada538', '5ac9002c4bc39722', '068a8406f1a383d8', '39a98cd12e581038', 'a362305625fafb20', '393cdfb7e832d285', '6545c42d1fa5df33', '24bd42501a73c032', 'c537c888e9db11fb', 'da034370416efee1', '59a2ea0122aa4591', 'd6bd4b0784843fdd', '0788ca0723d59c2a', 'f344839ca7c971b7', 'd3dddf816450d1d0']; context = [[34, 61], [20, 46], [32, 58], [21, 49], [0, 26], [10, 36], [29, 55], [36, 65], [60, 88], [17, 43], [82, 112], [75, 101], [49, 78], [83, 109], [107, 137], [22, 48]]; loss = 0.017946 low_pass_filter = 1.111
+Epoch 0: | | 2049/? [21:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/actitrain step 2050; scene = ['fb66585f6360b36e', 'db7eafb0f55568d7', '00407b3f1bad1493', '2b21a54efdc5de8b', 'da595021fea9f85d', 'f748cbf4640f63ea', '3f869d7524f5cc0c', '77c705f41b22de6b', '2cf9926a578c2784', '37c4fdc9b9d6c0e6', '244eda7c0944fa1f', '7df5dfcb4c9f5e24', '31c7ca382b4cf406', '140ec322ea5a197f', '071317a7a935d94b', 'be920b88d4014762']; context = [[128, 158], [34, 62], [123, 153], [35, 61], [90, 120], [209, 235], [177, 206], [33, 59], [35, 62], [0, 26], [67, 96], [33, 59], [2, 30], [55, 83], [9, 35], [20, 50]]; loss = 0.015812 low_pass_filter = 1.111
+Epoch 0: | | 2059/? [21:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/actitrain step 2060; scene = ['0452212f8a422ba3', 'a485b22b932c2626', '6c9380078876c6ce', 'dca97964a12df798', 'a57af4a50085aea0', '4666bf577ab773ea', '30424882cc105c3f', '6829cc07eb47cdea', '651c067fde1abb95', 'e0cd677c6327d758', 'fec1b08babd84253', '2840317723c97f2e', '2e6acc17d9b7c623', 'b9d4445e5b8179a8', '73133fcc576a07c1', '43cda4800888f4de']; context = [[19, 49], [14, 42], [134, 162], [13, 39], [46, 74], [113, 140], [2, 28], [58, 87], [95, 121], [112, 139], [64, 92], [45, 74], [94, 124], [54, 81], [32, 62], [117, 147]]; loss = 0.020589 low_pass_filter = 1.111
+Epoch 0: | | 2069/? [21:46<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/actitrain step 2070; scene = ['478e89781cb7fe3a', 'b4d6d0191d7d437a', 'ffeac84210d82790', 'e38d64be980abb67', '35fb9deb04278d8f', '2b223156f1eec1bc', '0a664feb59d93727', 'acfed28ba4504b41', 'a18dd0c5e3726a71', 'df73d45cbff76aa0', '39927608497beb17', '97dce5c8a9577172', '2ab54ca4d3ad7160', 'f752d201bf11aa7d', '15fca657573e4eee', 'a725bad131d5806d']; context = [[31, 60], [117, 145], [31, 58], [51, 79], [16, 43], [23, 53], [84, 111], [120, 149], [36, 64], [30, 60], [46, 74], [52, 79], [65, 92], [21, 49], [9, 35], [47, 73]]; loss = 0.017257 low_pass_filter = 1.111
+Epoch 0: | | 2079/? [21:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/actitrain step 2080; scene = ['c7fc461db2343d66', 'e6683441e899b7ad', '8d96b0810c1474f0', 'a2f6b8ce12094172', '7dc497c9d9fc9dbe', 'e0a88916f5977690', '54090f0d79c2d5d6', 'cdec7dff152cc880', '9497ed29cc566c99', '6989116a3baf6c4c', 'af57a1f0c29eaaea', '6c624d9684bc26ab', '3e9e187e7dbae1d7', 'ccc8fb6694c05156', '40788c7ad8260635', '351c9c82f8446846']; context = [[0, 26], [51, 77], [177, 203], [5, 31], [25, 51], [29, 58], [34, 61], [22, 50], [61, 89], [90, 116], [27, 53], [150, 176], [5, 32], [23, 50], [244, 272], [75, 102]]; loss = 0.018361 low_pass_filter = 1.111
+Epoch 0: | | 2089/? [21:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/actitrain step 2090; scene = ['16c8838c274625d4', 'dfc803316b289c97', 'b8d9b237d3131022', '760e5634a2d20b4f', 'b94b9c4beda6f0db', 'fcada92f8efeceb5', '7f81444be57714a9', '8d72de31083eba26', '05bd93fee1f2ceaf', 'f47fb729fe708d84', '7f502417702829cc', '0f8c41f469cea050', 'aeb22e7070c7ebc7', 'beaf5db0ab93f9c4', 'c988dd7d71e48bc7', '5bb27c0e0a89bdf3']; context = [[5, 32], [27, 56], [220, 250], [20, 50], [18, 47], [6, 32], [51, 78], [173, 201], [20, 46], [51, 77], [10, 36], [50, 78], [21, 51], [64, 94], [10, 39], [14, 43]]; loss = 0.019852 low_pass_filter = 1.111
+Epoch 0: | | 2099/? [22:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/actitrain step 2100; scene = ['31e0177544a4ce6f', '5af87f91bbe6d77d', 'e2b20b439a33690a', 'e6341d94005bdd0d', 'a6d3f8823cc684fd', 'b380464b16538037', 'fb878a1e01f8595e', 'a9111dbff01e1e9a', '08be136d928551f3', 'a3b40c62a65218d4', '3851f6250f54652e', 'cc5cd38089bc747b', '5daead2fe1be8ad8', '595d89f19a588a0b', 'cd38ce8391dbb036', 'f715a5eff02706b5']; context = [[1, 27], [1, 30], [77, 104], [5, 35], [28, 56], [154, 182], [49, 75], [158, 184], [15, 43], [3, 30], [15, 42], [17, 46], [2, 28], [2, 31], [38, 65], [44, 74]]; loss = 0.018556 low_pass_filter = 1.111
+Epoch 0: | | 2109/? [22:11<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=21.70, train/actitrain step 2110; scene = ['dee0cb028cfecd6c', 'a3d1a3c300d2d4c0', '8d10bed76bea9ad9', '49d0d81ca5d7a50a', '8b348d32ebb45bb6', '9542770bd8c00ff1', '0af95693e0c2a4b3', '1931d5f8d01cf901', '2cb7980a10ba7dd9', '05739e00a9d4b004', '9a539a8e149d73fe', '1d5ae4d2b3e9b4bf', 'd516f4060df38c96', '5ba48fe9cd340bbc', 'f8c179a0d6a215d6', '42a56723df581f2b']; context = [[47, 75], [53, 80], [56, 84], [23, 52], [115, 145], [32, 60], [154, 184], [51, 77], [175, 202], [21, 50], [36, 63], [37, 67], [23, 52], [110, 137], [24, 53], [24, 52]]; loss = 0.019979 low_pass_filter = 1.111
+Epoch 0: | | 2119/? [22:17<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/actitrain step 2120; scene = ['7b00906aa2c10f8e', 'fd7e46c14085c76d', 'c03584d560ed0694', '6af3dac3387f0c7c', 'a31b01bf6a2685ff', '304b457e50fb1b7f', '8a1248c358dd6faf', '8214bac63893f32b', '2a69d7ace9e8fbbd', 'c7b571bbd2dbf81c', '00f785f232952963', '85b9d600d972e3ea', 'b4c5bf7dc0eb9b3d', 'f08afff6a1ca5fd4', '1471bff70ae3f991', '4700b3794e04cb23']; context = [[30, 57], [127, 158], [35, 62], [84, 112], [6, 36], [39, 69], [46, 74], [24, 54], [103, 129], [39, 70], [10, 36], [4, 34], [3, 30], [22, 48], [4, 33], [14, 45]]; loss = 0.018665 low_pass_filter = 1.111
+Epoch 0: | | 2129/? [22:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/actitrain step 2130; scene = ['158e6e9702195ce9', '79554d6408c5040c', '3f12567c1f0af984', '84f1feea0751caba', 'e51815e7a265470e', 'b3dac77f7d133d91', '58c6906b67417c32', 'c2270f17d0068cf8', '6856c108142f8615', '46eb8491db9e7139', '78729dc7fc839286', 'e01fd52543c3109c', '1e464d7d6edb8441', '970c8ab96a42388c', 'd1c4a0e0fde61f4b', 'afbfb11da5517acb']; context = [[19, 45], [111, 140], [62, 92], [83, 114], [5, 35], [10, 36], [44, 73], [25, 52], [19, 45], [6, 37], [136, 164], [216, 247], [82, 110], [20, 46], [46, 72], [51, 78]]; loss = 0.016428 low_pass_filter = 1.111
+Epoch 0: | | 2139/? [22:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/actitrain step 2140; scene = ['e60298a9c1439103', '57a37f6c17fb53bb', '78a4d300844409c1', '5b4327f91da2fa34', 'c244bbdea2dd8768', '11d1412ed987535d', 'fac49f6dbe07e555', 'eb44011752cb1c5c', '298229a37fabd908', '7e3f87e5affd253f', 'ece875e12fa6f3e5', '1706922b35a131c1', '7e6aaad4b4178031', '0f62fa07d5678c66', '5ff49d7da5abf152', '50c673c4f63de8b5']; context = [[50, 80], [71, 100], [6, 35], [35, 64], [27, 58], [9, 38], [36, 65], [38, 69], [0, 30], [35, 65], [73, 100], [32, 59], [18, 49], [16, 42], [48, 75], [24, 50]]; loss = 0.014653 low_pass_filter = 1.111
+Epoch 0: | | 2149/? [22:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/actitrain step 2150; scene = ['3b1f9bdde0850925', '39a2d85b6232fee7', 'd4fc984a9a2dc78b', '15c0e084366a0311', '39f88cbb30ad5e3f', 'd8adc0566d6281a7', '11f155931a109e15', 'b5ab1fc1af5f5665', '71da350128beda8e', '1fc2e3e8d1a09b12', 'afd1b26a7b3f5833', 'aa70400f2fc7e975', '1e8715fa89b98696', 'b051aa05d9cc987c', '837e0e5f18d3ba68', '3e9d04e3d7dda317']; context = [[72, 98], [9, 38], [107, 134], [39, 68], [114, 140], [50, 79], [145, 176], [248, 275], [6, 36], [53, 82], [44, 73], [57, 85], [19, 46], [43, 71], [56, 82], [7, 38]]; loss = 0.020412 low_pass_filter = 1.111
+Epoch 0: | | 2159/? [22:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/actitrain step 2160; scene = ['53dfe7d8827bc01e', '01f717e1a0b3df40', 'f0865a583ba09c2b', '2ac6446d0ddf813c', '665024ea83a665d4', 'b4ec4a3baed8f94a', '37fa83ae48cd9ab4', '9efdc1e256416028', 'fe86d8ea3e0d4c7e', '0fc2f38684a6ce5d', 'b721471aeb419680', 'd164a63a092e62f7', 'f535ef4bae3136ae', 'a76159f46f60d60a', '2c76592b3759673e', 'bdfe47d84d96f14e']; context = [[38, 64], [8, 35], [182, 212], [32, 62], [63, 89], [10, 38], [37, 63], [183, 209], [4, 33], [70, 96], [46, 76], [174, 205], [29, 60], [58, 89], [28, 54], [150, 181]]; loss = 0.018207 low_pass_filter = 1.111
+Epoch 0: | | 2169/? [22:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/actitrain step 2170; scene = ['2b92e1411ef38e4d', '6f6b3630c1daf8bc', '853afb68eecbe04d', 'c3b82a52e6317dcc', 'db085f4da5bb3a11', '77d9893ba17a1330', '849bb6781ce6dd59', '1a251dc2dac5cd26', '98b99eb5c3bd9603', '71d24f4e70b1596e', 'abffceaf0098faa8', '6454334af1aaabd9', '0ca219e558a9ced6', '1d08d09515970972', 'c1fec197b3a59315', 'f76db35ccf517018']; context = [[2, 33], [11, 40], [200, 231], [30, 57], [41, 70], [2, 33], [58, 88], [29, 58], [15, 42], [230, 260], [18, 48], [16, 43], [17, 47], [8, 35], [0, 29], [87, 115]]; loss = 0.013429 low_pass_filter = 1.111
+Epoch 0: | | 2179/? [22:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/actitrain step 2180; scene = ['6aad2eba073ae9c3', 'd23ed015a12e7251', 'b1d41b0a47dc80f1', '7145f0cd808fb217', '82b3cd7d732bb3a1', 'ec8b485c95a10ee8', '1de0bd69f911ee70', '14456e50bb058688', '6a1ef1f0ddb90525', '3aa4b919796c8489', '6dc5657f790a7afe', '39ef35a4a47926da', '275f7bcab3604f2a', '3613fe0e8890ef26', '556ce3a3902f4695', '048e637fabfa3247']; context = [[3, 29], [86, 115], [43, 72], [2, 33], [20, 51], [83, 109], [23, 50], [45, 71], [9, 37], [40, 66], [0, 26], [57, 85], [126, 157], [63, 92], [31, 57], [176, 206]]; loss = 0.017443 low_pass_filter = 1.111
+Epoch 0: | | 2189/? [23:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/actitrain step 2190; scene = ['4733062e2c9faded', '0abad9c3a40f487c', '086be0c3a57db507', '91243c39eff2dab2', '6c01bd2b6378b08a', '400c9321b83de62a', '3054148d742d2b85', '41a5f2ec0c95a471', '66bef075252e50c5', 'ec3000b33e02444a', 'f42a1015b25ea6c0', '1035b4b674d055e5', '10f25476c98b437c', '42209a96fb2db3c1', 'dec79f9feb754ed8', '1817737ac6b18f45']; context = [[108, 134], [154, 180], [64, 91], [30, 60], [67, 94], [6, 34], [47, 73], [16, 44], [24, 54], [71, 99], [49, 79], [59, 86], [209, 237], [95, 123], [1, 29], [85, 111]]; loss = 0.015559 low_pass_filter = 1.111
+Epoch 0: | | 2199/? [23:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/actitrain step 2200; scene = ['a4978d1996610c90', 'def54ce161678aed', '612e4097fffdc804', '67ca4858a6da9498', 'c2e29d5707c809d6', '9a4703f139e789c3', 'd74a2abccfea3d36', '7ebd83e1c25311ce', '6cfc76b16e72752a', '2dc9c96992a50777', 'd9dce3382830aea6', 'd437beb1a01fabf2', 'a7a79393e5bb8108', '62ff792e124c30c3', '0fc62d90dd3098f9', '8fed29af74002491']; context = [[226, 253], [31, 58], [87, 114], [79, 109], [97, 128], [51, 78], [67, 95], [1, 30], [0, 30], [42, 72], [21, 49], [72, 100], [86, 113], [7, 35], [0, 27], [37, 64]]; loss = 0.018529 low_pass_filter = 1.111
+Epoch 0: | | 2209/? [23:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/actitrain step 2210; scene = ['ba5f37a10c6dd859', '78439ac06504df45', '7566ea2bedd7e775', '431557cf5a0bc85d', 'a95b5cdb5c860149', '4c93d77212ccf515', '3a73283d439e25cc', '6e115d699fe7cf97', 'ec965b86f34bd052', '7dcd7e5fcc21f57f', '1acf15bfc12d2a27', '462236c56412e890', '72446f5d7fa95c3a', '146aefd841b02106', '49c8a74b74ea2ad6', '691b75dfc39113c0']; context = [[52, 83], [1, 27], [24, 54], [30, 60], [138, 169], [2, 32], [88, 116], [24, 54], [31, 58], [21, 51], [42, 70], [14, 45], [2, 30], [105, 131], [3, 31], [59, 85]]; loss = 0.018640 low_pass_filter = 1.111
+Epoch 0: | | 2219/? [23:20<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/actitrain step 2220; scene = ['747b26dc66737aab', '0b8169e51ba31c92', '7b6faaa7ddad5853', '0f1e75b6891c6dde', '65161bf7ed37ed8f', 'aff84ce3f9bcc647', 'cee058b0da530229', 'f84a8896b1ba14b8', '4dc1674146d1feb4', '16ba79e95f3f36fb', '0e877f29a64985f6', 'ccc8e2dab9b9e5c8', 'bf18f5ce237cd08c', '17eb179606c65453', '4646bbb28f1eae0e', '6d924b8977d59cbc']; context = [[62, 91], [21, 49], [134, 165], [10, 41], [8, 34], [47, 73], [42, 72], [5, 34], [8, 37], [24, 50], [65, 96], [8, 34], [184, 211], [121, 150], [103, 134], [26, 54]]; loss = 0.016000 low_pass_filter = 1.111
+Epoch 0: | | 2229/? [23:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/actitrain step 2230; scene = ['0a1c6a4cd53b9fff', '1a27a41d548cb8d5', '9525a072309439fa', 'e6927e3ec3898166', '24666b018cafaaa9', '6e2a3910091fd84f', '9e912cd1f7d18579', '2a2885f3acb57e98', '5ca14f8bed0743cb', 'd0ca50187d5095ec', '14267b4877f2bba2', 'a983f9bbf8f45e19', 'd77ffc6a0bc1b514', '034a57b1ea3c8ca9', '349738c773f1af23', 'c5197c6f18fcfab7']; context = [[6, 34], [38, 64], [85, 111], [5, 35], [14, 42], [151, 180], [24, 55], [136, 162], [21, 49], [80, 108], [20, 51], [206, 235], [16, 43], [136, 165], [68, 96], [181, 208]]; loss = 0.015233 low_pass_filter = 1.111
+Epoch 0: | | 2239/? [23:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 2240; scene = ['cf88375b1e6b8486', 'f1c3b96cfaa15919', '75cee01915619dcc', '3284bdcba1efd8a8', 'e3c44c39efde0ffa', 'f9f371c1f9451052', '54ef0de0d7f14ad0', 'a03536509e83e665', 'af8966ce60331634', '44c0fb697990ed79', 'a5e3080b535de466', '0e36759e631b3a7d', '369dfe5f8711b6f0', '1d99b75a8f309f01', '78d4e52d3166717c', 'cf9063704f31f391']; context = [[99, 129], [43, 73], [11, 41], [96, 125], [20, 47], [62, 91], [4, 30], [112, 141], [0, 29], [161, 190], [24, 54], [44, 73], [35, 65], [24, 50], [10, 37], [0, 30]]; loss = 0.019228 low_pass_filter = 1.111
+Epoch 0: | | 2249/? [23:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 2250; scene = ['d51ac3ee55720232', '891e6d7d39f1be97', 'e4204c923eb68534', '50b7e0408ef2df49', '66dbbedd0b62d620', '3388d14433e04e9b', 'c7b3410412698cfe', 'deb947f542d0bc43', '9f044d2c0f9f66b5', 'c93a3485a63a06cc', '8a803ac9260584d9', 'e03c32cada8f8685', '12590c946a642acd', '5c13b85999c1fa5c', 'ac7426f5db6b176a', '0e7a94867925f87f']; context = [[52, 82], [8, 37], [179, 205], [11, 39], [25, 54], [56, 84], [156, 184], [10, 38], [73, 99], [31, 58], [7, 38], [5, 34], [77, 106], [147, 177], [39, 68], [22, 51]]; loss = 0.023851 low_pass_filter = 1.111
+Epoch 0: | | 2259/? [23:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 2260; scene = ['b5bcbf6a8f08edd1', '3a8f60d224cb68aa', 'cdb0d98b47396f65', 'c2dc42562c814eee', '0ff852b74d9a7557', '459690a341c549db', 'e2aaaef9c0310d0d', 'fc44ec58e01708cd', '87de365387d61409', '8fd9640fea8cf3c3', '223a5d0e61cb7f89', 'b8919377ab8f5552', '87b5c9f499024815', '76d873ef5454cfc8', '6c977851c159a936', '3156073334262295']; context = [[133, 162], [65, 92], [60, 88], [215, 243], [132, 163], [199, 225], [68, 95], [158, 189], [17, 43], [31, 61], [170, 199], [30, 56], [99, 127], [50, 76], [47, 74], [167, 194]]; loss = 0.015132 low_pass_filter = 1.111
+Epoch 0: | | 2269/? [23:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/active_min_children_step=1.000,train step 2270; scene = ['d994b54d0c38f6a5', 'beb77dca75f90444', '79b6c278ef761637', 'c995ce06eef54732', 'e423eafb08231cab', 'f80b01e1b3d6aef6', 'a3302f8344181353', 'eadfbdb527ea40d6', 'b737264f3104f28a', '81bb3be1a42ecfac', 'c852959b09375208', '10ec4d16f705a260', '784c61ca74d732ae', '0d21809ec3211305', 'ba856f9451354f41', '65d07fcdfb062070']; context = [[40, 68], [67, 95], [31, 58], [28, 55], [26, 54], [16, 44], [42, 69], [9, 39], [25, 53], [88, 119], [76, 104], [4, 31], [165, 193], [146, 172], [174, 204], [18, 46]]; loss = 0.017913 low_pass_filter = 1.111
+Epoch 0: | | 2279/? [23:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 2280; scene = ['453102f725872642', '23ec4735aa0a67bc', '9ad88af7e2443b55', '4d0d26a83b1768dd', '0a9e82926ed00bec', 'a47203cfd5e0a478', '5c88629cb0741db4', 'b5ada35c89248568', '393e7c167eb55e34', 'ce5fbfc75c316c2c', 'ae9f87b6c5c2c5de', '7e9d04a1d9046093', 'f14d299d3c9989a6', '6b3e1c805ca87fd7', 'e0fc8d5106e28ee2', '71bb80ab49a07c24']; context = [[66, 97], [42, 71], [178, 205], [110, 139], [10, 41], [25, 56], [30, 61], [24, 55], [97, 126], [38, 69], [46, 72], [4, 30], [13, 39], [82, 109], [9, 35], [96, 122]]; loss = 0.016301 low_pass_filter = 1.111
+Epoch 0: | | 2289/? [24:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000,train step 2290; scene = ['aefe7fe6eefd9ce9', 'e8e48c278d3f4624', 'e04842c075de81a7', '1108c0c550ac209a', '17e3d4b53cae3c08', '11ede909d25ca333', '1aea90446759f7d8', 'd9c63fba53fa07e3', 'ec28820800ede2c5', '19f01733933b6613', 'f6b289d3b7dfabf2', 'a7694854dba7d692', 'd3d5b66051e3c68d', '5960d1086a161c2b', '250a8529f9e40503', 'dceedd8871d159da']; context = [[209, 236], [16, 43], [81, 110], [66, 97], [36, 65], [29, 58], [99, 126], [72, 100], [39, 68], [0, 27], [42, 72], [150, 180], [72, 99], [20, 47], [8, 37], [155, 184]]; loss = 0.016409 low_pass_filter = 1.111
+Epoch 0: | | 2299/? [24:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 2300; scene = ['1122ec33e71d8934', '83da83241d5d812d', '789bc3d0827b3458', '23ac0a975e7e789a', 'e6bd49192ab21f5d', 'caec71abd1d65864', '3f40a05deb57517b', '4a609368e3b1a0e2', '2e942afcd1334f69', '9b72c44a6343236a', '0b54a4290140f2da', 'df91064f4d75da1a', 'eeb23e3b6cd710e4', '4f3be7403390f7e1', '25aca069a7b5ad8c', '655c545268708bf3']; context = [[26, 55], [21, 51], [1, 31], [1, 28], [19, 50], [37, 65], [58, 87], [14, 41], [3, 30], [30, 57], [221, 249], [38, 67], [159, 189], [7, 36], [2, 29], [23, 50]]; loss = 0.019657 low_pass_filter = 1.111
+Epoch 0: | | 2309/? [24:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 2310; scene = ['0511be7085235229', '18eecb32a75b6aed', '9ffe1fc23d69426f', 'f0c98d9d2b7f6b25', 'eb9e48a39e18f88c', '29c5fa6a83baac7b', 'b45bb780dbfc0268', '6bcc23e1031228e1', 'c8198e376ce5fe21', '093573b7f8c5a9c7', '102be2e005584ebe', 'bc0dc36346da20b0', '72d827d8b9fb16d7', 'f4ba1460268eac35', '5e39a2c628afc961', 'dd4746055f52e4e7']; context = [[11, 41], [8, 35], [73, 100], [2, 30], [30, 59], [74, 101], [70, 98], [9, 37], [149, 178], [52, 79], [42, 69], [20, 50], [20, 50], [43, 73], [32, 60], [14, 44]]; loss = 0.016233 low_pass_filter = 1.111
+Epoch 0: | | 2319/? [24:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 2320; scene = ['420c96906f7be97f', '35fb934b6f5d7250', 'db7f168a168f817a', 'd7b29df60c4100dc', 'f60f5ea9b6487369', '47f11c69050ae32f', '5ced4e666a0cc232', '3b8785bae23cbdb8', '9c8c945c02d7bfce', 'a6d66c0213f5e1e6', 'f555a2fef0cc9efe', '4da1d53648bcadae', 'd77ce6c24f2ac051', '8264dc1cb0f29e22', '77e8495e8c522bca', 'edbe9338dc896f16']; context = [[21, 49], [3, 33], [57, 88], [2, 30], [22, 52], [8, 38], [79, 108], [15, 46], [92, 123], [162, 193], [74, 101], [2, 30], [54, 81], [13, 43], [8, 39], [20, 49]]; loss = 0.014796 low_pass_filter = 1.111
+Epoch 0: | | 2329/? [24:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.000,train step 2330; scene = ['9894b187d115c065', '42edbc89b87f5bce', '186605eea1a41f21', '57a9dcc50b16b0c5', '351c9c82f8446846', '219e257b654adcd3', '130eca6f6e106392', 'ca19843dcf89d83b', '1f28e8525efd2881', '1a912617a1d3a00b', '0d8cf8d48624ba61', 'a212e7b4ef90cba7', '5807e404a598a0b8', '3b22f4f99f2bf2f5', '9fd59b650e13ca92', 'a6099c3a152a33ba']; context = [[165, 192], [26, 55], [90, 121], [26, 53], [119, 146], [0, 27], [99, 128], [7, 34], [2, 33], [24, 54], [169, 197], [35, 64], [14, 45], [54, 82], [21, 50], [59, 90]]; loss = 0.019915 low_pass_filter = 1.111
+Epoch 0: | | 2339/? [24:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.000,train step 2340; scene = ['7c4216f5c1228f5d', '855462aca11242cc', '1a314c79785c4dfb', 'f0dbc908f65693ae', '543da4cef5a596fd', '02e30c4cf8156c01', '01c143c81a4d2145', '2d7243929156069e', 'fa1c6dfa9c92a263', '00703cbf7531ef11', 'c0580f743d41ee56', 'e2fe2ac70897e69e', '9b74cdaf0866eede', 'd90d5e7978792a54', 'b7e7f5382a76e83b', '9a869f7ea35c324e']; context = [[40, 71], [0, 27], [76, 106], [80, 109], [39, 70], [2, 30], [9, 40], [142, 173], [43, 70], [216, 243], [3, 34], [199, 228], [8, 39], [134, 164], [14, 41], [244, 273]]; loss = 0.018914 low_pass_filter = 1.111
+Epoch 0: | | 2349/? [24:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.000,train step 2350; scene = ['d9813b8d0537a82e', 'f80e9d2819f291a7', 'f23ae001046f1119', '1e17a9ea040d034c', '8c3bb6932beb10fd', '960176f87cb28bcd', '3c98d600041d2bcc', '4188d18d531e631d', '94aa49ed217160d2', '779e552026166070', '0c0914577ebe7288', '97f73b3de5c78cc3', 'c9a73532f0cc200e', '78463c78b97d6cdb', 'e840f15a503d14e5', 'c998093c16301e1f']; context = [[0, 28], [0, 28], [97, 125], [1, 31], [85, 116], [9, 38], [16, 45], [124, 153], [67, 96], [49, 79], [55, 86], [33, 64], [60, 91], [35, 63], [47, 74], [21, 48]]; loss = 0.017616 low_pass_filter = 1.111
+Epoch 0: | | 2359/? [24:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.000,train step 2360; scene = ['54f4ae9238e5d273', '84af5a6dc02a4fc5', 'e005cdd5b468ccc9', 'f0faea75c39058fa', '84775696a780d940', '159b1908406ca716', 'd1ebd5d89e694609', 'fdf5c68e52d40e62', '96bfdf4e989399f5', 'f0e75cde2232224a', '9b417f4a07fa1404', '1b92ff53549440e5', '293ae3a90e34ba37', '0a0759a2dff47613', '27912a7783acc4c7', '81816f8687df5c68']; context = [[13, 42], [12, 40], [13, 44], [34, 65], [15, 43], [58, 89], [193, 221], [12, 43], [35, 64], [124, 153], [54, 81], [42, 69], [5, 34], [88, 116], [9, 39], [116, 145]]; loss = 0.018402 low_pass_filter = 1.111
+Epoch 0: | | 2369/? [24:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 2370; scene = ['cd391aa15ffa53d5', 'ff2008cd674a7df5', '76f8c934d299d0aa', '3bd99b35d4566e6d', '6a5ba78f4d0bc69c', '7fc05882bd1f775b', 'ef84137ab9a199c7', 'e0993a60d803bd40', 'bb09fe710c29a6f1', '5917b96d69b60795', 'd35e90f8cb411c35', 'd946391d7812c84c', 'cea7f0f676df3c07', '4538a4e738f84589', '173dc9aa00ad7675', 'cb4d635a85911b86']; context = [[9, 39], [15, 46], [87, 114], [0, 27], [132, 161], [18, 47], [32, 61], [28, 57], [81, 109], [75, 103], [237, 267], [40, 69], [104, 133], [1, 28], [25, 53], [5, 34]]; loss = 0.018455 low_pass_filter = 1.111
+Epoch 0: | | 2379/? [25:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 2380; scene = ['bd439bb9d45c1125', '9c3cedeaa32f5a18', 'a0cd28a901a7589a', '8e9f01760ce55500', '5f8f8bae3e8c4a23', '4adb784a75523d30', 'e8cb8f24c2fa8a45', '69aa625f9673c808', '8c8730be5c873d5d', '5758ecda69a782df', 'fa666242b325a3aa', '7c6a494b1ac2ada2', 'a0944ee913e7b7a5', '809fd0a15d5fc027', 'cfaed802e25bbf38', '4747dd13c4f84996']; context = [[56, 85], [20, 48], [136, 167], [22, 51], [28, 57], [173, 201], [19, 50], [30, 60], [73, 100], [81, 109], [89, 119], [29, 57], [41, 72], [4, 35], [47, 74], [11, 41]]; loss = 0.020623 low_pass_filter = 1.111
+Epoch 0: | | 2389/? [25:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.000,train step 2390; scene = ['2c6c9bef73d70f57', 'afd73a23aaeed5ce', 'c7893e642cb8fd85', '50e6c4ec143903bb', '54f437c95d89a7e8', 'b53dacad44c35ce1', '97be39180cf3419b', '31b89c53160b4f2f', '8739c0c356470d1f', '41e45fb36a6f26cd', '878900a19170087e', 'b98f8d6397991a0a', '15eb30d0189f08e7', 'c3397e5ad7b9a1ea', 'c189d9c69d668ae3', '83cad5d80041582a']; context = [[61, 89], [65, 93], [82, 113], [42, 69], [84, 111], [73, 100], [81, 110], [150, 179], [41, 70], [173, 202], [45, 74], [22, 50], [12, 41], [170, 201], [33, 60], [35, 66]]; loss = 0.018870 low_pass_filter = 1.111
+Epoch 0: | | 2399/? [25:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 2400; scene = ['9d1d86d3978d3dd9', '317ba8e0b5413a83', '1f4a515822cf8fff', 'df17465173ff113c', '49667fb18ff40765', '75f5325d53419390', '9318f2dc9cb8a203', 'a8b5ced332106f6e', '9cd16d2f769cf63e', '1e1c663288cfba7f', 'a240f07a92219aa8', 'd8af4b4bd916921c', 'dad371a372305c4d', 'd9462b4c7fc5a88d', 'c013baba88f68415', '9f6d6c7711ee5e34']; context = [[7, 38], [35, 63], [32, 63], [72, 101], [96, 126], [53, 80], [2, 33], [23, 51], [4, 33], [153, 182], [64, 92], [4, 32], [34, 61], [32, 61], [36, 65], [181, 208]]; loss = 0.015732 low_pass_filter = 1.111
+Epoch 0: | | 2409/? [25:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.000,train step 2410; scene = ['25c3ed412bb25315', 'c43bdb6be580b5e1', '6a754bfbd0e02830', '13668a644a9d78c2', 'a4f016cebe459279', 'fa46d2e31ca6700f', '83ac3cb620e43578', '26bd2f3807377c77', '3f2add62a0b1d691', '7a6bda7be9ddd883', 'e60e765e62130960', '14472523a0c46403', 'c39f05decd5db5f7', '95579d00ca4555e0', 'e8d0f3054d11c23a', '964b5660d29e4821']; context = [[35, 62], [5, 32], [6, 33], [0, 28], [20, 50], [4, 35], [20, 51], [70, 98], [34, 62], [11, 41], [137, 166], [37, 68], [246, 276], [13, 40], [47, 74], [45, 75]]; loss = 0.017873 low_pass_filter = 1.111
+Epoch 0: | | 2419/? [25:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 2420; scene = ['fbc0f1f919e37f6f', '0f7d0835b1820906', '386d858945eb1e3b', 'be93db481f19ff62', '3ea09d38127a3975', 'f3db43d03174c1e0', 'a9bddee6b5508f7f', '35d38555a3bad2d6', '1b52746e12c3a649', '4c3f441c94d63954', '4e7f5c62bb1d90b6', '87b4113d1fb5fadc', 'f46ab77b51367dad', '70a6e0c50b932926', 'c784257ad6d70434', '415c859644b04b77']; context = [[161, 190], [60, 89], [51, 82], [207, 235], [136, 165], [6, 33], [225, 252], [220, 251], [1, 28], [111, 141], [139, 167], [18, 47], [70, 99], [18, 49], [241, 268], [9, 38]]; loss = 0.016600 low_pass_filter = 1.111
+Epoch 0: | | 2429/? [25:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 2430; scene = ['084a1a3fac0ab7c3', 'f798bf110e50ae05', 'b0189789fe6bc9c2', '4cbfaa52325775ab', '99ea5cb9b803daca', '71d8d0a848667302', 'c2c61e3082375bd8', '6c0ef012029b30f2', 'd88fa63cc32b7683', '331ef24c06150099', '0edd08d42e5a2f9f', 'f545152700b96263', 'aae62c9143d59bf0', 'bf8ad1259257dc45', '32dc706b5277e8a4', '999e445bd69b8a33']; context = [[187, 216], [106, 134], [19, 46], [35, 63], [32, 60], [60, 90], [102, 131], [140, 171], [36, 65], [62, 90], [94, 122], [1, 32], [54, 81], [34, 63], [69, 97], [180, 211]]; loss = 0.016243 low_pass_filter = 1.111
+Epoch 0: | | 2439/? [25:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 2440; scene = ['4385a3b16d321702', 'f0680c43c5c34858', '78b54fa5b5742181', 'fedfc1765aa6ac6b', 'c05818414f7e530b', 'd4450052d60e5f31', '32fc4d38acbd93b7', '525c642c5a79c4ee', '319fb20c1a5fe820', '54d0782c7dcdfe61', '879313d352b43a95', 'dfe5b50169b728c0', '0fd0ead3c363584e', '5d68ede0f829a545', 'a7b8522c8c3153c4', 'e97617b00097605d']; context = [[7, 34], [7, 36], [11, 42], [18, 49], [9, 40], [31, 62], [28, 57], [120, 149], [179, 208], [94, 121], [35, 62], [11, 42], [97, 128], [12, 43], [180, 210], [62, 93]]; loss = 0.015992 low_pass_filter = 1.111
+Epoch 0: | | 2449/? [25:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 2450; scene = ['9d763d2754c2a6a0', 'caec62a47b974e4c', '9d1ee413421f219b', 'acbaf3928100486d', 'e640fb1aab7928a5', '6447ab4ccf80feae', '6d4e40bc2b18c6fe', '9d1e29a2a121db05', 'fa574d0b867f315c', '0cd8897b8a77eddb', '3b13bafa17769d9c', '32d09e777fe79723', '5c5ced708d2b3c8b', '710517405163201a', '55beb1567126410a', 'f2acfbea86f8c413']; context = [[45, 74], [156, 183], [54, 83], [6, 35], [3, 32], [101, 128], [19, 46], [3, 30], [12, 42], [41, 69], [70, 97], [10, 38], [125, 152], [30, 57], [193, 223], [51, 82]]; loss = 0.014816 low_pass_filter = 1.111
+Epoch 0: | | 2459/? [25:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 2460; scene = ['e6ec55219ebe382e', 'c83fa4955ce845b6', '1c7f6e9252a56933', 'a8a2445b40f0ee30', 'ccd70d500f2e2bc9', 'd297538f14da1f52', 'f4e169b7394250b0', '0da1ec5684bb7324', 'a100e3e5a44b9087', '8024a13b551c34cc', 'c1f569cc8340fdcd', '99e513749f0aa3df', '8719fa7d74daa634', 'c1357ccb17484993', 'cc0f4131711a730a', '9571d138e429ca67']; context = [[21, 50], [96, 127], [68, 99], [174, 206], [13, 42], [214, 246], [189, 220], [40, 69], [6, 33], [8, 40], [0, 28], [13, 45], [37, 66], [221, 248], [0, 31], [41, 69]]; loss = 0.016240 low_pass_filter = 1.111
+Epoch 0: | | 2469/? [25:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.30, train/active_min_children_step=1.000,train step 2470; scene = ['e7f549ceccf3bed6', '7e717082bedd01e8', 'e83e3c6a186d4b14', '36b358d18663a114', '4d99f9c1332d1442', '038723be25e892b7', '62e9e5716c3ac2f6', 'c1da5a122e3a6486', '4fe12b24324c7c47', '506c7067b8d54db9', '7e4fa483bbb17c5b', '668193bde2b21db4', '4f2bfe280d413022', 'd10e440ff0a99a23', '7d1d3e8e7a8d1910', '61ba0d41e39ca681']; context = [[25, 54], [14, 42], [21, 53], [135, 162], [146, 177], [37, 64], [15, 44], [27, 54], [24, 55], [5, 33], [58, 86], [3, 35], [23, 53], [211, 243], [9, 39], [191, 218]]; loss = 0.015252 low_pass_filter = 1.111
+Epoch 0: | | 2479/? [26:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 2480; scene = ['78c4c1ec818e5a56', '335068a6ec7f576e', 'abf5fcf8652aeb3c', '38366abfb0f92890', 'eedc455e3dcad2e8', '9266579d30f7b588', '062fa8871944a658', '9f99a95604c4986f', 'a298b940467fa76f', '8a40913885bb9c45', '4d73afcba9cefc99', '0bd7d1356643cb9e', '41d835aa772eac7c', 'bcab3c0184450241', '8beeeba1e78f0197', 'be3b7eeea39e3b03']; context = [[30, 61], [36, 64], [3, 33], [13, 40], [43, 72], [170, 197], [15, 42], [175, 204], [11, 41], [14, 44], [38, 66], [40, 68], [23, 50], [66, 95], [1, 32], [100, 131]]; loss = 0.021927 low_pass_filter = 1.111
+Epoch 0: | | 2489/? [26:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 2490; scene = ['d90f68bab916e8a0', '92a43963f8d1dc2a', 'db9a067011e8c6a8', '79eaf9a487c5de91', '3fef43891ca3841f', '010fb4b5e0e37c71', '48dd32a0f4a2367b', 'fe3e8063136b92e1', '4baf148b0e465154', '39ce17d592aa08ff', '890e507d5a12b8a8', 'c1785398ae044ecc', '37270249573b5fef', '0a053a2d034f4305', '583dfb028aad48a2', 'c1dc93d8d75fbeb7']; context = [[43, 73], [63, 94], [68, 98], [80, 111], [85, 112], [48, 80], [25, 54], [94, 123], [15, 44], [94, 126], [7, 34], [18, 49], [33, 63], [11, 43], [34, 65], [36, 68]]; loss = 0.014281 low_pass_filter = 1.111
+Epoch 0: | | 2499/? [26:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.000,train step 2500; scene = ['d7ca8401b3a2387b', 'adb7e9569b2d54e8', 'a2a821ecee305c73', '86af7cd006b63f11', '1f08e4fbc4bebedf', '80b04e7c5d21facf', '3dfdc1b6c7b658e3', '6b944937986e8221', '628d53c4fa7f75e6', 'b4ffa1f6d55b36d5', '1a41eb1e3be69b00', 'f680164af3370245', '7d1fec00044efc66', 'e62120d353663d7b', '694b55576cadcfc0', '5873cdfb303368a8']; context = [[25, 55], [0, 27], [145, 175], [134, 164], [0, 27], [43, 72], [12, 39], [113, 145], [8, 37], [27, 57], [1, 31], [36, 67], [7, 34], [4, 36], [28, 57], [76, 108]]; loss = 0.018079 low_pass_filter = 1.111
+Epoch 0: | | 2509/? [26:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 2510; scene = ['6d952c7bf6673b7a', '14e5c1a9d0604d37', 'e8153057d8273032', '125b8d9c4d67f6c5', 'e3bf238bbde4f6fc', '2544ca0eb789f211', '7a6869cb55388541', '7436df852025cdda', 'f8a2fd8db81f71b2', '891803d5398b2265', 'efd2e6e6ed5904ae', '70a833fc4f7bfcf4', 'bd624da49f0d72a5', '56e8b9541d2225d6', 'ad0b15a79f791403', '83c84d2d35b95f97']; context = [[48, 77], [1, 31], [61, 89], [81, 112], [2, 32], [216, 243], [42, 74], [71, 98], [24, 54], [16, 43], [81, 112], [71, 100], [121, 149], [82, 111], [10, 41], [41, 70]]; loss = 0.016840 low_pass_filter = 1.111
+Epoch 0: | | 2519/? [26:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 2520; scene = ['f01d231329f4844a', '2633b15c450d8a36', 'cf0cdd221b631e08', 'cf2981ade7a6a0f4', 'd4eb98b2850556d3', '148f2198e13d1b6e', '2aa058b8233968d1', '2f681eb286f9233d', '674835273a35cbdf', '165eaaa2a7b5c11f', '2e6c689ef02aa539', '69cc85f49345c36d', '17406d413afbe1db', '7e762d0c67252a36', 'd4db76a49ab21dd1', '086d231d005df1e1']; context = [[30, 62], [9, 37], [181, 210], [56, 83], [109, 141], [26, 58], [59, 89], [8, 40], [41, 69], [4, 32], [0, 32], [87, 115], [15, 43], [66, 96], [70, 99], [20, 52]]; loss = 0.016461 low_pass_filter = 1.111
+Epoch 0: | | 2529/? [26:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 2530; scene = ['6f12499025efa38d', '17b8861273e45cfb', 'a21fe9049dd4f031', 'fae4ab284d8a91f6', '43715c109fe873c0', '4d0c3fee830fa3b8', 'e4f49bede305510e', '9e409d0392d4f763', '8842ecc795060164', '810f5259de1dcd97', '2925cbf7ba6f1d8f', '3d1b5179f6509fee', '387b69e395b27574', '67d2487d7b4bde8a', '627d8b1a65c08482', '6b017044e6720a0f']; context = [[28, 58], [35, 62], [8, 36], [60, 91], [50, 79], [138, 165], [40, 71], [154, 186], [0, 28], [156, 188], [21, 48], [13, 43], [236, 265], [14, 42], [34, 64], [17, 46]]; loss = 0.016900 low_pass_filter = 1.111
+Epoch 0: | | 2539/? [26:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 2540; scene = ['afd1f0b4fba0c645', 'ccb4fb4ff1862f97', 'd6ac297a4d15b7b0', '14b72a12818f15cb', '721278dbf4389da0', 'a35fcfd5ca571296', 'ebefa67b99601839', '120933c886936b7b', 'c50585b25ebfe2ba', '4aa75a27462c5bcf', '392eab2c84c17409', 'd0d25dda60a6048b', 'e2b10586530728fd', '5118b43a3f332d06', '1b291c84c14124c4', 'b5ef6bcc9a651474']; context = [[21, 52], [96, 128], [80, 109], [13, 44], [1, 29], [20, 47], [9, 36], [47, 79], [61, 90], [13, 42], [66, 96], [155, 182], [53, 84], [37, 64], [130, 160], [46, 73]]; loss = 0.018205 low_pass_filter = 1.111
+Epoch 0: | | 2549/? [26:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 2550; scene = ['eaeadebc96d33431', '186b1e7d8bc86601', '30da666be764ae4b', '6c43ed1aba1cf46d', 'bed31d8c359085c9', '4969bcb3550c0172', '6bcce32993a13c68', '059cd20b64598054', '757dc09596c4872c', 'e20f3440223cbde1', '82ba678c941b6578', 'ddc11c891f471dd0', 'c3d6a82b60bdfc35', '5649070bc0083d83', '12e85fb6e140ee85', '837a853e726c6ad2']; context = [[37, 68], [44, 71], [31, 63], [15, 46], [116, 143], [67, 96], [78, 105], [18, 46], [9, 38], [74, 105], [59, 91], [151, 180], [4, 33], [12, 41], [34, 65], [1, 30]]; loss = 0.017445 low_pass_filter = 1.111
+Epoch 0: | | 2559/? [26:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 2560; scene = ['ade44bf3e35c9262', '45ce373b035b8fd8', 'c37b454f5da63294', 'c4b188678255126c', 'e0080506fa76c083', '81862b995f91b0d7', '5711ae7fe4ad2138', '26a13a48c0505d91', '9086929b365d2a3f', 'c91539af76f9036e', '502f274fd8641f04', '1c394ede7ac77b5a', '0cdbf9b9bdbdd5fa', 'b18c3a67a54657ef', 'a99705ae70b64106', '3c9bbc5427f35f73']; context = [[22, 53], [2, 29], [44, 73], [26, 54], [13, 40], [20, 52], [87, 118], [62, 92], [17, 47], [29, 56], [16, 46], [67, 99], [35, 67], [7, 35], [140, 168], [1, 33]]; loss = 0.016876 low_pass_filter = 1.111
+Epoch 0: | | 2569/? [26:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.00, train/active_min_children_step=1.000,train step 2570; scene = ['98f9e6a5b0475808', '6408008d0dcba73e', '370ed12221433e23', '891b961086b8c3c1', '362336fc9e531a0a', '4d0c2481182d6b42', 'f8f773a036b4752b', '43b0af4992345e28', 'ad09be69e08a8e3e', 'a6e476731dc84ba1', '257ec8864836da51', '82eea335b00f5e72', '4e64a4ac8b752f34', 'ef3a08eada7659fa', 'e1654625696cb3b3', 'f8543f36c4a0962b']; context = [[68, 98], [55, 82], [8, 37], [10, 37], [7, 37], [0, 32], [10, 39], [16, 45], [181, 212], [14, 43], [139, 167], [150, 180], [134, 162], [56, 85], [123, 154], [224, 256]]; loss = 0.017013 low_pass_filter = 1.111
+Epoch 0: | | 2579/? [27:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000,train step 2580; scene = ['56453c8b912ad0f8', '4ba784982056b564', 'ab04798f9ddd9aa9', 'abfc80bb9eee93b2', 'e33d4bd8288fc69e', '71222ce1f9bca7a6', '2a120d7433051b39', 'caf5b80ffb785dd3', 'ffdc1ca307b644ad', 'cc1d9324e09232f4', '7daa7a0f699ceabc', '0692c8f769b8cd3a', 'c97ac3dea201c8ff', 'd3e71bbbe7705414', 'add613d689db1b36', 'c3c6a1d4b69cdaf6']; context = [[1, 32], [39, 71], [128, 155], [67, 98], [146, 174], [26, 58], [30, 61], [174, 204], [49, 77], [166, 194], [71, 102], [9, 41], [5, 36], [85, 114], [126, 153], [2, 34]]; loss = 0.017968 low_pass_filter = 1.111
+Epoch 0: | | 2589/? [27:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 2590; scene = ['997db8f49011aeaa', '3b74c3f144474d24', 'fcdcc79356464898', 'df73e3e6ea5086d9', '921a2747f28f1aee', '039a82846f63ce27', '0407190c3f727c9c', 'a40c454857fdf94c', '43f2fea0a0027461', 'c32210a376137088', '8fed2c4e70775877', '4b7634eee1c5582f', 'ed32f5c2550ca9d8', '11d60067500ca484', '13bc6744879e252c', '2c00e3b9941759b4']; context = [[54, 83], [31, 58], [89, 119], [1, 33], [47, 78], [10, 40], [185, 212], [51, 78], [3, 32], [22, 49], [17, 44], [119, 150], [4, 35], [85, 112], [11, 41], [65, 93]]; loss = 0.016418 low_pass_filter = 1.111
+Epoch 0: | | 2599/? [27:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 2600; scene = ['23b93c505afa66ee', 'ac45c4c003b301fa', 'beb1dd411fbbbddf', 'de4deb5003c39eaa', 'ba1bcba228f782e7', '8b5f8899f2dba87b', '9622d9a4e65bd2b9', 'b8a31df5ed4b5201', 'f777e84de50ab343', '85fe0c9de56c57f0', '696e1d29b7f7be5f', '8a1deda3c28d1572', '5b95b1ce1be1b6f5', '36c9ae4fa8a4aecd', 'c34556d2035115d2', '78b0572c7a01313d']; context = [[15, 46], [1, 28], [1, 32], [23, 55], [29, 61], [29, 56], [10, 42], [0, 32], [22, 50], [11, 40], [84, 115], [51, 78], [104, 135], [140, 172], [72, 101], [0, 27]]; loss = 0.017762 low_pass_filter = 1.111
+Epoch 0: | | 2609/? [27:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.000,train step 2610; scene = ['4d6a7d4f8fee4a70', '142cfddce52374de', '48d5b6a6f6673781', '08eb65d6312e0e58', '88c1ea5819e5c199', '00a61821997f3fac', '641310a2d9c88eab', '577c560e66207737', 'b9b418fb1cb8b12d', '1ce140bd016b2813', '8318c0eb37a154a4', '412804362c1bce61', '9b6a57a6ff02dd12', '0880f556a19d07f5', '8568c60d6f777386', 'af05e9f84b56ad4b']; context = [[21, 52], [130, 158], [51, 82], [29, 56], [30, 62], [54, 81], [49, 79], [1, 28], [26, 55], [38, 67], [61, 92], [24, 56], [19, 48], [172, 200], [188, 220], [222, 254]]; loss = 0.015106 low_pass_filter = 1.111
+Epoch 0: | | 2619/? [27:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 2620; scene = ['9c248f0c3e94154d', 'c21a7d55e154f542', 'b88db7960be465ab', '33adc68fe41da745', '944da8caf16bf01d', '592c1eea73fa43a2', '359af2b0f4c26712', 'c301d66da36ab4f6', '3f275d1a2b75c460', 'e25fdd12f8ddbe42', 'cb7969e3c014c447', 'a5a65324d2c3e20f', '00a5cfccd6508e96', 'a16abbd1892bf65a', '5bfc07e208fce700', '9c0dfa31d55ffc5d']; context = [[37, 67], [42, 73], [88, 117], [35, 62], [147, 176], [39, 68], [28, 59], [43, 73], [63, 94], [7, 38], [17, 46], [107, 136], [32, 61], [3, 34], [11, 41], [19, 49]]; loss = 0.015811 low_pass_filter = 1.111
+Epoch 0: | | 2629/? [27:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.000,train step 2630; scene = ['87042fddb0b19a0f', '172fccf6211f3546', '50e67468797f400e', '33f49673459fcb0e', '2316b4d8d41df4e5', 'cd0b66c5de7b7a00', 'ca763356c13cda22', '196e67f35573aee5', '44e3e8bf1a3ee95d', 'f1f2e1670095235f', '6347dab2e71b8e3d', '7766ed41dc09a8bc', 'dd4fa5f6bab88faa', 'eb995245e27d4501', '3e4cc481bf540f72', 'e0106272b4009cfc']; context = [[46, 75], [5, 35], [87, 114], [16, 48], [84, 111], [105, 133], [57, 87], [127, 156], [30, 62], [2, 30], [8, 40], [241, 268], [34, 65], [17, 48], [162, 194], [56, 85]]; loss = 0.017459 low_pass_filter = 1.111
+Epoch 0: | | 2639/? [27:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 2640; scene = ['a5ef4d029ec244c6', '7eff5e9e76ba5d7b', 'ddeb26aee2619bf5', '25e1057952554e53', '6f4af7195e3a97b7', 'b7fdfb242e095110', '694cc843695b9687', '321dd5398f1a2288', 'f74b389738420c04', '07251deb1023bf31', '3333b88b7b828755', '3c1930672c047cd5', '7bd19f4b8fe7604a', '11816aa482b4a095', 'bf182bdffd928804', '03fcc7f08b6230dd']; context = [[7, 37], [1, 32], [47, 74], [77, 106], [0, 32], [56, 83], [152, 180], [35, 64], [2, 30], [119, 151], [138, 165], [3, 34], [7, 36], [18, 49], [22, 50], [79, 106]]; loss = 0.018510 low_pass_filter = 1.111
+Epoch 0: | | 2649/? [27:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 2650; scene = ['efb0fa43f36306e9', '9b07d9e9bfde2127', 'b8c4f3337fbd630e', 'b519397ffd947056', '2b09a49067809eee', '994090734564320b', 'a8013f840680bad5', 'c79fe61f55945277', 'a2272a447c64f48b', '786d7805ee6f3ad4', 'a76ec83c9984d4cd', '9f0f1ad360ccd857', 'ab0d3321102f7d32', '319d3690254625c2', '9a76d28513b6fdc1', '1d0cbcda73d75506']; context = [[86, 116], [13, 40], [182, 211], [81, 110], [2, 29], [90, 117], [43, 72], [15, 45], [92, 119], [105, 136], [73, 102], [71, 101], [71, 100], [62, 94], [241, 272], [38, 68]]; loss = 0.018231 low_pass_filter = 1.111
+Epoch 0: | | 2659/? [27:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.30, train/active_min_children_step=1.000,train step 2660; scene = ['ceb6ae5e9a1e7e8e', '05854d9374c484ca', '390a2ef1eccd3a2d', '076bbd1caeea14aa', '290127cd737563cc', '24c90b915d34ef39', '10ca944ef0af4bb2', '930375e7564df725', '2a9ed0c8f1e73164', 'cfc49cc259fea938', 'c55c2217e0012adb', '0cb01a5c1df8ebf2', 'dfb0d3dc0e39b336', 'c90611c8c46212c8', 'fd7ad13926bc9ded', '4f41969b4c4007ce']; context = [[5, 35], [8, 36], [70, 97], [37, 67], [53, 85], [82, 109], [23, 54], [127, 156], [13, 41], [35, 65], [32, 61], [193, 225], [32, 64], [29, 58], [5, 33], [67, 99]]; loss = 0.015855 low_pass_filter = 1.111
+Epoch 0: | | 2669/? [28:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000,train step 2670; scene = ['2a02d4281c5b97bb', 'f757d683875ba54a', '9a796ca8aa9c4bcd', '5fa60c880368bb4f', '85f6a09d7c0ed82e', '3650acf4e144d660', '5c6eb6a2caa8b53c', '7d70798a0178383e', '86c8c9b0a6200b4a', '501a6f4480ce533e', 'e66e9d07a140e364', 'cc095b6f7aaeff1f', 'c9a41c071845a38a', '6bbc8e2718708902', '23fdcf065cab001a', '54dd2fecd7c5469f']; context = [[12, 41], [11, 39], [1, 30], [21, 49], [124, 151], [137, 166], [10, 39], [15, 45], [14, 46], [69, 96], [1, 33], [27, 57], [158, 189], [17, 49], [3, 35], [30, 59]]; loss = 0.017264 low_pass_filter = 1.111
+Epoch 0: | | 2679/? [28:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 2680; scene = ['a751b66299f1d15b', '0421b2f436f8639b', '039f60e42dce9e90', 'db03fc84a638ede6', '62a3405c56eb738e', '040c698e24e08ed0', '4633b2da2c16f0f2', '4315fa596f7ad9ee', 'b684f0ec6d9c26b2', '2e4d851f9306e3dc', '7536ce49ae587cef', 'f1cba6bbef111bc4', 'cba4fb922ec2d6d4', 'c85eadbc32f2adb0', '7e73fccfa5fdbaf8', 'c502a410bd03dcec']; context = [[58, 87], [14, 45], [55, 82], [6, 38], [40, 72], [16, 43], [42, 71], [13, 44], [62, 91], [57, 86], [140, 171], [29, 58], [76, 105], [246, 275], [47, 79], [116, 143]]; loss = 0.013596 low_pass_filter = 1.111
+Epoch 0: | | 2689/? [28:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 2690; scene = ['efdc5dd0c7e86d40', '856fd142bf7b7292', '079ecd0130a2ee5a', '2baaf273aecc96c6', '89e458eaccf5b7d1', '4eeb65125c3f0fc9', '911908173c30f240', '6f7ff483d3462c74', '2e6eefa1c397527b', '33bec869e73e7247', 'e44e90dc26c684f3', '829fdd659c900396', '7909d1a385285e9a', '28b8117bf90509e6', '75f6848fc47112d0', '42500f7d1c55ef18']; context = [[57, 84], [18, 45], [46, 73], [26, 56], [53, 84], [75, 105], [38, 65], [64, 96], [3, 34], [25, 56], [10, 40], [173, 205], [19, 46], [50, 80], [109, 137], [0, 29]]; loss = 0.014031 low_pass_filter = 1.111
+Epoch 0: | | 2699/? [28:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 2700; scene = ['e615f13fcc5fd08b', '99318fe651526dcc', '3ba9ee5b0a0ab41f', '4bf92848b7ed1bcd', 'e4a1a35e66a7646c', '39d39ebdd5959a48', 'ec23ae8ad63ed53e', 'df21bcc5b49bc2bd', '23997b17e26ba688', 'f1db7081cdca2869', '77cba126c83354bb', '1807c87f55f05974', 'eeb07f912539cb81', '54691c0ed1746861', '51d5134a0133edbe', '2f9790e264304bad']; context = [[92, 119], [17, 47], [82, 112], [6, 33], [11, 41], [47, 79], [10, 39], [32, 59], [20, 48], [10, 40], [1, 28], [173, 205], [12, 41], [103, 130], [93, 124], [113, 142]]; loss = 0.016533 low_pass_filter = 1.111
+Epoch 0: | | 2709/? [28:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 2710; scene = ['43bb5f6926547aae', '24fbc5df260712f5', '2898d4c76acafed9', 'b61d2950c49d51f0', 'bd7cf65e2226f5bc', '4ad4a325af74fc67', 'eda01f724b39dbef', 'a06a60dbcb377f70', 'bc51d02a05fce838', 'e52bb29b8c03f39e', '5994a80afa6ef0fe', '40aa327f7c331a8e', '8a6f058ea1b60e96', '67642ba9afa1b1cf', '2369b06fbf07fe26', '9c41777f108288ed']; context = [[4, 31], [1, 29], [68, 96], [6, 33], [1, 30], [177, 205], [34, 64], [44, 72], [151, 180], [15, 47], [36, 64], [58, 89], [50, 78], [31, 58], [126, 155], [243, 275]]; loss = 0.017287 low_pass_filter = 1.111
+Epoch 0: | | 2719/? [28:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 2720; scene = ['60bf0a4a1ac5f0c3', '2ed55ed93afa94f2', 'fef9b8a287d2d4bd', '2d7c79c978b0cc08', 'a61c8d77fdac60ca', '0304b78786c9cc4f', '9a94e71cea472790', 'bea3977d3073b2d2', '78ca16a59dd41338', '56f957c4bc88fa94', '2b562d23a3c7e4cf', '4f0b9b05ed188565', 'bedc784fb1794f8c', 'f00a77b3b162ac4b', '276de289278edacc', '16513d114b068a1e']; context = [[9, 36], [32, 60], [8, 39], [114, 142], [37, 69], [25, 56], [43, 70], [105, 137], [68, 98], [32, 60], [64, 95], [124, 154], [194, 222], [34, 61], [14, 46], [0, 32]]; loss = 0.016789 low_pass_filter = 1.111
+Epoch 0: | | 2729/? [28:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.000,train step 2730; scene = ['b6c080c0457896b1', '261966d35cb9048d', '75360b350aacca61', 'a60a2e4385f361ac', '0da32cfb9483ba52', '1a2b1d9e7065035b', '09028d01a4e4343e', '0ebbdd2d2ba475c7', '73341b79eaf41f6a', '1316f6809b85ba42', '472681b6b747e84a', '28e3c9a4261b68cf', '4b2d80c510bb8088', '4609cbd1d6254985', 'c70a420b1d7dca8f', '5d24370ba26f6290']; context = [[42, 69], [42, 71], [6, 36], [77, 107], [87, 116], [21, 52], [65, 96], [26, 54], [25, 57], [30, 60], [75, 103], [3, 33], [1, 28], [3, 32], [39, 67], [29, 61]]; loss = 0.016340 low_pass_filter = 1.111
+Epoch 0: | | 2739/? [28:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 2740; scene = ['c27a58dab30fbcc2', 'b419bfa4bf5e4d5f', 'bb1757b78d7c2c4c', '5f1eb519a6b1b975', 'ff1d2975de62c75c', 'db61ac0ddc21d1c9', 'b4cb12731a693d63', '65ca4812c80ba806', 'aded09e472c481df', '8f965746e016155f', '22e5318eb8d1a4e9', '40655ef994aa4830', '2b06a630f32b54ed', '3e0be59240322851', '71cee2cdf48a89d7', '91465fddcc54dd2c']; context = [[72, 104], [84, 116], [10, 39], [11, 43], [94, 125], [135, 165], [89, 118], [0, 31], [5, 35], [1, 31], [54, 84], [3, 30], [3, 33], [153, 184], [4, 35], [0, 27]]; loss = 0.016072 low_pass_filter = 1.111
+Epoch 0: | | 2749/? [28:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 2750; scene = ['7ab6a3bfcbea506b', 'f6d3ecda8aa336f1', '9331e00704e39648', 'accb1432540b4ca9', 'cfbb220575fb9b02', '4eaf18a0f1a7e366', '66d22a164eb73a9b', '550c91c247fed3a5', '14056595020e5128', '98d8838631d8a52e', '10fda5483645a9da', '1bc2686e6cb1fb1a', '149706425ea3666a', '2cfc46890614d1ef', 'd3601cae3d835072', 'a0718ebce433c95f']; context = [[21, 53], [54, 84], [106, 133], [5, 36], [74, 104], [162, 191], [58, 87], [22, 51], [25, 52], [1, 28], [63, 93], [19, 50], [30, 58], [39, 71], [39, 67], [94, 125]]; loss = 0.015861 low_pass_filter = 1.111
+Epoch 0: | | 2759/? [28:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.000,train step 2760; scene = ['e9e69d643ef7765f', 'c3db550fbcb1f2b1', '2aaf84176521c42f', 'c5202610b421304f', '90091fb72bc9e2c4', '5959438b5e5323c8', 'abde353d2e662e91', 'c6d8e17b7d2a1ecb', 'daff9dab2ab6b10e', 'b78b16232f8fa76e', 'dd7532006bb390b6', 'c780fe2e3caf6310', '60e0c22b7dbb3152', 'ee6dbc2c59399aed', 'c54921b03f732500', '5168f4005ee24062']; context = [[3, 35], [11, 41], [108, 136], [38, 65], [63, 91], [38, 68], [65, 97], [130, 160], [2, 30], [20, 48], [72, 100], [19, 47], [7, 39], [13, 43], [58, 85], [8, 36]]; loss = 0.018412 low_pass_filter = 1.111
+Epoch 0: | | 2769/? [29:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 2770; scene = ['90ae09316f304318', '3ec801a510862eaf', '92660c8d92d3bf06', '4ea41eaf69afec04', '74c29d0b7eb8728b', '6a27f031bc3f1193', '4007505c2d6ee7ee', '5bdceb769e5b3926', '3803b2c8fd539a88', '37d7e8a9f23b2418', '9bbd1ab3491972e3', '022d410bd702ba81', 'cba6272095141e36', '322eaa39daf81f93', '6530f4e60599a4f0', '9c6ae5f9ffede923']; context = [[8, 37], [24, 55], [43, 70], [12, 43], [27, 56], [47, 77], [8, 37], [77, 106], [33, 65], [27, 54], [95, 122], [27, 57], [41, 72], [8, 36], [130, 158], [192, 219]]; loss = 0.014030 low_pass_filter = 1.111
+Epoch 0: | | 2779/? [29:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 2780; scene = ['a18d3ccd10fbff62', '246e844f2b0c296f', 'ed2d12be16750310', 'f0542cd2d21f3359', '0aa65a45e54c8ff1', '6dce42c0376ed5bd', '2ea9a7e763491324', '412f8a80f8206ea5', '87c8a0082ed8ff94', '8ccd419c07a54f45', 'a11168f2dbc672f5', '7102d9010349a215', 'b710c863c5c1e1cd', 'da5de01cf7e41541', '0f5392e04bb19f8c', 'd52a9764036894ac']; context = [[144, 171], [6, 35], [29, 60], [51, 83], [56, 85], [1, 31], [37, 65], [2, 33], [114, 145], [0, 31], [37, 66], [25, 54], [1, 28], [59, 91], [77, 107], [190, 220]]; loss = 0.018961 low_pass_filter = 1.111
+Epoch 0: | | 2789/? [29:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 2790; scene = ['cd9090984c241687', '98e9a5ae1fc337a3', '4618dce02a9d0713', '0d13f4d2a07b20d7', '0cde1dae939d4611', '08bea3131a278709', '4d9cf2781dda4a42', '24c59c5a704aa7b6', '45b743f9172c9d72', '83b6c9f023f5e600', '8f75ef614e485fb3', '820548d9fd8c6d68', 'bced85140b42b6fb', 'e2782c697c307b5c', 'c61da3d71ad8e0f9', 'bae10dfeb1e50d99']; context = [[187, 214], [41, 71], [19, 49], [26, 55], [2, 33], [1, 32], [41, 72], [3, 30], [83, 115], [106, 133], [64, 95], [37, 64], [15, 43], [37, 64], [15, 47], [1, 28]]; loss = 0.016631 low_pass_filter = 1.111
+Epoch 0: | | 2799/? [29:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 2800; scene = ['034e89ee1adfd2bf', '64cdab2d68387847', 'bb26fb8a0d9e9cee', '4ca2857fe858b81f', 'b522bb9dc4bb2d45', 'bab5c4c3deefbe11', 'c9da02eed003e463', 'f3f4ffa111e6185e', 'a3dc53d7c2c5c450', '0781d28ffb7b92ca', '081accf980a4d097', 'de111f91de9fe294', '6d4b0a0b9d2edc40', '736a39818de2100b', '8f74fad88033f13b', '7f279e25ddd3092a']; context = [[1, 32], [26, 57], [39, 66], [15, 47], [27, 55], [87, 115], [0, 27], [49, 80], [55, 82], [77, 109], [10, 41], [27, 57], [43, 70], [48, 77], [159, 187], [50, 82]]; loss = 0.015569 low_pass_filter = 1.111
+Epoch 0: | | 2809/? [29:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 2810; scene = ['24a3779576222a94', '28b23bd8cc4b5cc9', 'cb4e1239c00db508', '8e12adaf19e58a53', '502b31ec4023c337', 'c3d7c6b0a2f4961d', '5f6129348cc047df', 'b3698fba681b1429', '3163e39561e208a8', '436e6d7fb59aa0f3', '77c48da8f803ebce', '11cd42372a8db93d', 'a71d3ad52001cc01', '55ec1b2b059927f6', '8ad9377ac68e1fc4', 'd24ec4ed55f0cb9d']; context = [[9, 41], [92, 122], [9, 39], [22, 52], [141, 170], [91, 120], [172, 204], [26, 54], [13, 43], [9, 38], [42, 69], [126, 156], [27, 58], [157, 184], [161, 191], [53, 85]]; loss = 0.017554 low_pass_filter = 1.111
+Epoch 0: | | 2819/? [29:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.000,train step 2820; scene = ['b79c18c793f776f3', '09854e27eba8832e', '4bcd7cbb7a1397de', 'bb3914c6e9a2cca3', '62df70fdddb451ba', '5b195bc1030ac237', 'f48f5c3ac0286b9e', 'c3af30eccbfd3e19', '9eeb527fbe6dc6e0', 'b118e65ba0895ec6', '5349b3c8a5a44631', '4cbd09ce15023033', 'baa6af541de35ae4', 'b6a682bb8da600af', '56e7215724087036', '11c748d0d9e18fcf']; context = [[40, 67], [25, 56], [67, 100], [32, 61], [22, 50], [6, 34], [152, 183], [7, 38], [66, 94], [31, 58], [106, 139], [93, 123], [5, 37], [15, 42], [37, 66], [33, 63]]; loss = 0.016833 low_pass_filter = 1.111
+Epoch 0: | | 2829/? [29:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 2830; scene = ['7cd094b7d8f5bfd9', '1aa7e75df75e56df', 'db09edb16cf63afb', '652f860523c0d63b', '82ccd88cc5bf3f8d', '1f264383e514644a', 'd19bc02c7a2c4a05', '72b4959b43d63649', 'a6792878dad60243', '0c1b1ea787e6a5e5', '684b3fe54099d16c', 'b1e83960965e92a9', '6abfb2e52aea1a65', 'c78080cd764ce09a', 'd848b9acbb7e79f0', 'ac5122b9a344d3be']; context = [[64, 91], [188, 219], [0, 27], [147, 178], [61, 93], [41, 74], [80, 113], [219, 247], [58, 88], [12, 41], [10, 38], [131, 161], [61, 93], [47, 77], [20, 53], [10, 37]]; loss = 0.016927 low_pass_filter = 1.111
+Epoch 0: | | 2839/? [29:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 2840; scene = ['ce4777cadfe8febc', '0e04ac8477cdc1ba', '915ccf1d0279d962', '77bb1e0d667eb2c5', 'e317628493b63975', 'bd0014e1f2db0016', 'c4b807c5b04029a9', 'ced85ab956a4190f', 'afde61f51906fc5b', 'efd0fc40e46dcabd', '337f55eb7d340c6c', '721db478d9515f86', '99a479337d304313', '87e15183ad6df63d', 'add63edd0fc1cba7', '5045ece8e54c9cbc']; context = [[1, 33], [10, 43], [38, 66], [228, 261], [5, 37], [128, 160], [37, 68], [6, 34], [112, 141], [4, 37], [9, 39], [60, 87], [37, 65], [55, 83], [91, 119], [0, 28]]; loss = 0.017523 low_pass_filter = 1.111
+Epoch 0: | | 2849/? [29:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.000,train step 2850; scene = ['90d87190e41314e7', 'cc306ca65c5dbc24', 'd3917d0a1eda2a1f', '48a9f2119ae79662', '7f5aa79ec2e823ad', '043b1c5d141de8bd', '1d11603808f4f02d', '1dbc905d1145547c', 'e620159aeedcd7e3', 'f29b03bb0ede6c6b', 'ccf0fb152a3957ec', '9636a7cba75a3806', '63a09885afeaa9ef', 'f02861ed6d0329b5', '78df146e207949e3', '3dc630e7c22bff72']; context = [[17, 48], [105, 138], [174, 207], [153, 182], [12, 45], [4, 33], [52, 81], [12, 39], [6, 35], [79, 111], [11, 41], [97, 124], [29, 57], [16, 47], [14, 44], [3, 30]]; loss = 0.015969 low_pass_filter = 1.111
+Epoch 0: | | 2859/? [29:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.000,train step 2860; scene = ['c35dc20bc06a5dbd', 'df8aed95e105f065', '9df293d4cff7a027', 'b43104adbdf3b1a0', 'bd15cdb6544e4b4f', '46a16b80d7b725c1', '7341e63a7c77334f', '5d1517dad9f9fbb6', '8ecf1e4e58a9553d', '6223a7a4c451dfac', '5462a7e6d388aaee', 'a1a44fdd4720ce4c', 'c50bf41a6ae14f25', 'ce39744fa5a6e73d', '225ee824e3d5dc51', 'abfc1e505cfcaa93']; context = [[47, 80], [107, 138], [107, 138], [61, 93], [13, 40], [11, 39], [5, 34], [11, 43], [215, 242], [191, 222], [12, 40], [10, 43], [39, 68], [39, 69], [27, 58], [6, 34]]; loss = 0.018828 low_pass_filter = 1.111
+Epoch 0: | | 2869/? [30:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 2870; scene = ['17c078de5ed38bd2', '337bac6be4ca89e1', '5c9bd02482ad2baf', '6c2280965b2c589b', '844291f011c40bc4', 'be0c13a1287e01dc', 'b235d80fb447dcad', '6c8269719e65ab3f', '5fb199b37014d66c', '9307f8bff82ac421', '2c1c34804bd85520', '746c9c4988c58d15', 'ac0adf351c198028', 'a3620e34e8895263', '84826a7eacde5724', 'bceb41276703211e']; context = [[83, 115], [46, 74], [10, 40], [22, 50], [183, 211], [32, 65], [71, 98], [56, 84], [1, 28], [21, 54], [1, 28], [85, 114], [50, 83], [9, 38], [26, 57], [7, 35]]; loss = 0.021380 low_pass_filter = 1.111
+Epoch 0: | | 2879/? [30:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.000,train step 2880; scene = ['83c4c9fb7e651990', '5b43db5bf21abbb8', '56d7b41096c4a0c4', '3e6d1f9e11e3dc9e', '84f9b1294314f17a', 'f7162df69d7f02d6', '570eae579ca05517', '1effe9e0b094ca8a', '05145c28fb118d31', '85719fc0e88eacae', 'daabae5358f7603f', 'cdcdc97ba9dfaddf', 'e668a843e852b450', 'f14da18c7df0a2f9', '73677808d2e27970', '038bc5d302351577']; context = [[72, 102], [32, 63], [70, 98], [25, 54], [1, 29], [92, 125], [25, 56], [28, 58], [51, 78], [186, 216], [56, 89], [53, 80], [2, 35], [37, 65], [67, 94], [6, 35]]; loss = 0.015740 low_pass_filter = 1.111
+Epoch 0: | | 2889/? [30:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 2890; scene = ['4f56ecc3ff0e7b5a', 'aef946964881b3aa', '75cb938ef32ffdbf', '8a5ef9fcbbbd0715', 'b2d4b9ea541e9f37', '205d8b2ecf1e49ae', 'd5dba29fb7878ed2', 'fea578cc66e55e82', '3a2d10fe0a31c3ef', 'a0ba9edd3ce2633b', '1cec8c9926ac8fd1', '86c67555e3f5eeac', '473a20d1abe4678b', '66871960d1c17672', '76b44b96d0d32f80', '625bfa26d60c3834']; context = [[171, 201], [24, 55], [46, 77], [177, 204], [37, 70], [70, 101], [73, 104], [28, 60], [172, 200], [2, 35], [16, 43], [15, 44], [33, 63], [9, 41], [6, 37], [38, 66]]; loss = 0.016387 low_pass_filter = 1.111
+Epoch 0: | | 2899/? [30:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 2900; scene = ['0d0184bdc09e63cb', 'b1b3c256fa38e565', '50be6bda22ad172e', '1f28c177c829855b', '927a91d4f0d12802', '24a5b18908fc004d', '2ec1f000c3fdc4dc', 'cb1ecfd7427463e3', '8dd3b522ff68a4aa', '3c8c39f9ac4df6df', 'd326909d557faf66', '55470b75c7afb481', 'f1a9c18459064ac1', 'a403d43e6d9b2085', '479cae6c7f3b8ffc', '991eb0083ee7ce9c']; context = [[14, 47], [8, 36], [26, 53], [75, 105], [220, 249], [113, 140], [1, 34], [29, 62], [68, 100], [39, 66], [22, 55], [96, 128], [94, 121], [23, 53], [67, 95], [0, 28]]; loss = 0.018632 low_pass_filter = 1.111
+Epoch 0: | | 2909/? [30:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 2910; scene = ['2c0f4dc479fd405f', '32db9d241a97c624', '106afcce4381c331', '3830621fd20294c5', '425386b8c72dc44f', 'f557a8939e2e48c8', '1101a01ecfb13572', 'eebfd07c5aeb7eb2', 'f22ef1d4163a72b2', '39fb4d9b5a1a1a52', 'b878dfc4a56ec619', 'bca122ebc3c7e145', '2ea89db4267fbfe3', '6fc4cabd42daaf63', '3b2a6d47c6d69556', '16d1fa87a1f564fa']; context = [[9, 37], [100, 129], [12, 40], [94, 126], [112, 145], [6, 38], [52, 84], [36, 66], [58, 87], [37, 68], [14, 44], [20, 48], [55, 85], [111, 143], [121, 153], [33, 63]]; loss = 0.016458 low_pass_filter = 1.111
+Epoch 0: | | 2919/? [30:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 2920; scene = ['db4aa5fda0f93baa', '1b35df36589d1961', 'a6716ac7a4815ded', 'e2a52c2d94f21d4d', 'af8f48c2701a86d7', 'c9549c302dd8199b', '8c8616ef6d449859', '71712c08e8ef2a32', '69ade1c53ca7e211', '4a1a85a8dbc07ae4', '7d39d5d4a9ae6b67', '96f5118c683fd9f8', '4907fb289770ce05', '68b05b4cfa49cf69', '7dd02da4c93ae77b', '75e08d20dcf6fd8e']; context = [[160, 191], [44, 73], [107, 138], [14, 41], [15, 47], [13, 40], [25, 55], [6, 33], [75, 102], [31, 64], [67, 100], [65, 98], [137, 167], [14, 44], [4, 33], [20, 49]]; loss = 0.015074 low_pass_filter = 1.111
+Epoch 0: | | 2929/? [30:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 2930; scene = ['2876ff2b0e9b35c8', '44b54a674418eae1', '59290e5eafe2dacc', '0eea77c7a7ea776b', 'b0d93ae7dff54459', '76d53cf41f53eb37', '63e436b601897a18', '1ff6a0130c1bdbc9', 'ff1dca7b309e73cf', 'f7b4d47fa023d83c', 'a8708276de880b2c', '6f3364f094e81f66', '69a5d941518eba83', '052b90459fc4dc8b', 'ea11cc6ae0c6c97d', '0d4ef39b1c775eb5']; context = [[7, 37], [58, 85], [55, 83], [114, 146], [53, 85], [22, 53], [47, 75], [102, 130], [10, 38], [39, 71], [3, 34], [9, 38], [1, 32], [3, 34], [3, 34], [18, 45]]; loss = 0.016067 low_pass_filter = 1.111
+Epoch 0: | | 2939/? [30:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.000,train step 2940; scene = ['008d5bc870d12c22', 'ffc4643950346872', '1f2c53501ca20a48', '10810c921b4b3f84', '0476466b02a84b3a', 'd705175cee467a2f', 'c86ccd2448e8735d', '1307574e6ab07d0e', 'd05ca04016dd15aa', '273d38e69ae4e7ab', 'ddf23ac21281e688', 'bf6c3bb4273bb482', '9e5b301443a4e4e7', '9335c0a02e4383e6', 'ec1978c494e59410', '645bdd61301d7e81']; context = [[157, 186], [60, 87], [59, 90], [9, 38], [2, 33], [44, 72], [63, 96], [156, 187], [11, 40], [40, 71], [23, 54], [9, 37], [139, 166], [41, 74], [58, 85], [15, 44]]; loss = 0.016249 low_pass_filter = 1.111
+Epoch 0: | | 2949/? [30:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 2950; scene = ['a851d4797973dd8b', 'f053d50764ded3de', 'f80c7ae3e8c135d0', 'b4869cc97b14612c', '5cd649d23647e9a8', 'b6c09e68122ca0ed', '4353a602b8632521', '0a3d021eb578ea38', '3dd46bd829fa026f', 'b4c05fbe77402eb7', '07eae4841b2c900b', '66955f2887af5a9f', '7c9b792d56888acd', '86f9daf0ed9c7901', '20cb4e811caa397c', '7686c96acba0fd1d']; context = [[135, 166], [121, 153], [48, 80], [67, 96], [23, 56], [13, 42], [15, 44], [60, 87], [9, 42], [3, 30], [10, 43], [16, 46], [137, 164], [38, 67], [1, 29], [34, 64]]; loss = 0.018939 low_pass_filter = 1.111
+Epoch 0: | | 2959/? [31:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 2960; scene = ['7c57600e31e85604', '5c886fb149e4cc36', '80f041deab809da5', '3ac7d938a795a0f3', '73c9d799b50a6ab1', '4d9d95d4a2eda32c', '0a1e750a4a0d5a2e', 'b7f5fcfd690b5c55', 'af4d90b5286718d0', 'c9e8eb444e59ea70', 'be60e4b9932e0088', '4f3b49c328faf997', 'b11834a0237c89c9', '4577298e935ab57f', 'c2fa9cb1b2f5812c', '70bea44a967f219c']; context = [[37, 65], [61, 94], [9, 39], [10, 40], [13, 42], [15, 42], [56, 85], [13, 42], [11, 39], [173, 203], [32, 62], [66, 97], [43, 75], [56, 85], [23, 53], [14, 47]]; loss = 0.014890 low_pass_filter = 1.111
+Epoch 0: | | 2969/? [31:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 2970; scene = ['58694b5c16496ad4', '3d5a986156f92892', 'cdcf8ecbde39db10', 'b82808040252571d', '5dac5439a266d383', '66b0bedbd87eb6d4', '895ca8e07071abd4', 'b9ac53cf1cd3f4e3', 'ddc432d005784196', '75371003a36624c8', '80fd51689742e978', '0727389bfa97166f', 'a45c32806ab77c9e', '7f9480301fa3e38b', '8e5d094c4fcd3c3a', '0c624be452931981']; context = [[16, 47], [98, 131], [93, 121], [46, 75], [211, 242], [34, 66], [228, 256], [45, 78], [38, 70], [18, 48], [148, 176], [9, 39], [21, 52], [74, 102], [37, 68], [12, 42]]; loss = 0.019416 low_pass_filter = 1.111
+Epoch 0: | | 2979/? [31:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 2980; scene = ['2c1e3f7af6fec6f9', 'dc6e87688f3e9bb3', '2c6b93544964bc01', '8dc9967df5714acd', '2db98c7e8a6bb797', 'c78bdf20071dbd48', '0be2cc56c1bce065', '9d1985c29dad84fe', '3695aae861f18375', '1638d45be05bad08', 'c4b5cf9bba4c5620', '9bbdf26fda3f7aa6', 'ab3ac1ab685dd2fb', '19f18091790cb8b4', '2fff3b2844c2f1cb', 'd07f942cbe5dbb23']; context = [[22, 51], [29, 58], [59, 86], [14, 41], [110, 143], [179, 211], [79, 109], [85, 117], [216, 249], [79, 106], [88, 120], [4, 33], [33, 60], [133, 166], [71, 100], [159, 188]]; loss = 0.013450 low_pass_filter = 1.111
+Epoch 0: | | 2989/? [31:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 2990; scene = ['60043c9f1d07b03f', 'fc32d775bae0180f', 'ff84efd73a79db20', 'ab89700368df0c34', '293f5ffbb5082083', 'f700964c81c1c121', '3553dbf249a73a6a', '6365924c35575264', 'e20c5700872238a2', 'a32fe83d6c449e61', '2075c775ac7a6381', 'acd56b77308abd23', '0187f9f8c80ea4a2', 'a998e749d3adb11b', '728376a4318ffe7d', 'c06ef6a33440080e']; context = [[119, 152], [64, 93], [111, 139], [0, 28], [10, 43], [0, 27], [14, 47], [33, 60], [13, 42], [70, 98], [78, 105], [12, 45], [10, 37], [27, 60], [134, 165], [64, 97]]; loss = 0.015271 low_pass_filter = 1.111
+Epoch 0: | | 2999/? [31:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000,train step 3000; scene = ['35ce3025267c7ba7', '83f01c4310f19278', 'e852d57c6de796cc', 'ea79dc836a78061d', 'ee97af25dc219018', '09ab73395b87ec6b', 'e6fb9efae0406aca', '525bdd8b89129054', 'c29208a5f74d3649', '5d707a2d57727069', 'c88835e60acb5676', 'abf076da45e3fea5', '455743b15071d20b', 'ce3f4b5b14d97861', '89afd4c5470e2516', 'a7a54b27565d7c3e']; context = [[3, 35], [6, 37], [174, 204], [39, 70], [25, 54], [47, 74], [35, 64], [42, 70], [15, 46], [45, 73], [11, 43], [7, 35], [17, 45], [29, 58], [40, 73], [33, 66]]; loss = 0.016618 low_pass_filter = 1.111
+Epoch 0: | | 3000/? [31:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.000,validation step 3000; scene = ['91fda69e1cda4602']; context = [[49, 80]]
+Epoch 0: | | 3009/? [31:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 3010; scene = ['f353b0e2364b9578', '16f6f5e30b18575e', '4bac79c3a17ed149', '465fa8314b741006', 'f0e29b62f607dc08', '9a3d9c594453fcae', '6ab2a4be471e3a98', '5b6570bc4855e52b', 'c55ce55dae3a9dd7', 'dca2d5e4b6c4ae7f', '55f90e4726987c62', '06a4df55f3b8534b', '0e5b88b902eaef5b', '7f9fc192d813b6e0', '1a0bd5daf36cc951', '9ca3da2b888903ab']; context = [[5, 38], [99, 128], [239, 270], [9, 37], [108, 137], [41, 68], [65, 95], [41, 74], [54, 83], [73, 100], [56, 89], [14, 41], [3, 35], [34, 63], [111, 138], [147, 176]]; loss = 0.015521 low_pass_filter = 0.370
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 3019/? [31:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 3020; scene = ['2fb81102a2e8cb7f', '79c39edaa2547bfa', '27acee38db3d2440', '8e78ce55e3180547', '678d8464781a3de2', 'fef928bdd59753c7', '24e1642761ed2ebb', 'dedea0cd114e8569', 'ee93c61b2bfae624', '89bd3e44cbcc4a0f', 'cf0209e7acde8329', '7d9622491e2e478d', 'aa2952a523546771', '61e85330db0ed8a9', '7636a120c2dfd672', 'f807936e20d8a3dc']; context = [[37, 66], [7, 40], [3, 32], [7, 39], [36, 69], [147, 176], [42, 71], [64, 95], [13, 40], [161, 192], [34, 62], [201, 232], [47, 78], [44, 76], [43, 70], [2, 33]]; loss = 0.015122 low_pass_filter = 0.370
+Epoch 0: | | 3029/? [31:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.000,train step 3030; scene = ['3c418948bc7076cb', '95b1deb2d645f275', '46d11fdef3f136d3', 'fd4d668123665d1f', '307049b9515d7ee6', '6666ae9375b1656e', '28cab3659a1510a8', '3323fc8b3b6bccbc', '62150f8a9d2176f9', '7fc02c1b66b7464b', '0cdc19b76668685d', 'ac42ff7b8e4119c3', '1456ee4280583260', '300f90dbc5f5caf2', 'cb8269f4a827fd42', 'e89a821f4ae317da']; context = [[102, 135], [68, 101], [20, 50], [72, 100], [200, 232], [22, 50], [97, 124], [6, 39], [150, 183], [28, 59], [28, 59], [69, 98], [2, 33], [5, 38], [87, 120], [14, 47]]; loss = 0.018005 low_pass_filter = 0.370
+Epoch 0: | | 3039/? [31:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.000,train step 3040; scene = ['d338fa414b68aae0', '98ba95076aba067f', 'bd97314e8580f671', '629a3854ae5c697e', 'd4ce3ba462949704', '22f2ac6719ab125a', '37d687c129022732', 'd719095ac6054c66', '01df3fff1e49799c', 'b01124860ef4a2d0', '2a0f5dba69d0f0e2', '91374736b0e8c0c4', '2e40ec3daa844279', 'abd3cabe7a8ce1b3', '978d853d57c2f68a', 'c980afa10ed6a8e9']; context = [[20, 48], [13, 41], [89, 121], [22, 51], [20, 53], [41, 71], [38, 66], [84, 115], [15, 48], [48, 76], [4, 33], [125, 156], [140, 168], [38, 67], [28, 58], [33, 64]]; loss = 0.019120 low_pass_filter = 0.370
+Epoch 0: | | 3049/? [31:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.000,train step 3050; scene = ['ccc1e64084cd2ede', '23ea245052ef54f3', '6664d1ab6ca3f57e', '7bab8b0d42cf453c', 'a0593f34e6705c82', '37254fd595f527cb', 'd7fcf04f38bdc1f0', 'a1edb91a8328fa3e', '339fe58908bda753', 'af362dabe72987cd', '8e1f9a8acf80e621', '7e1a90cec7a329d5', '70047fffda161dce', '487faab77acb94da', 'bfd12d243b461f6d', 'c080fa483a4b0eeb']; context = [[62, 89], [12, 44], [7, 38], [14, 46], [36, 66], [40, 72], [3, 31], [61, 89], [0, 28], [9, 38], [103, 136], [17, 44], [15, 44], [143, 171], [44, 74], [86, 115]]; loss = 0.013253 low_pass_filter = 0.370
+Epoch 0: | | 3059/? [32:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.000,train step 3060; scene = ['59f14fd999b7a247', 'eaf70d3fdf4a4cb6', '5dc2cecdba20b532', 'e43a51c4bbdbca0a', '1725444cbcf517ce', 'b1678aa5fe9e89ca', 'b06e61a7be8c80e4', 'aa49ea66403b050f', 'd3451a948ab6ae52', '6ef5ea60516dc2bf', 'f0672b503ee9dd83', '9a308213ce2ba663', '9781f678199c8c4a', '086b2e8c8eb8083e', 'bd7e2ab0f8736d44', 'd2a7347d930e0aa1']; context = [[5, 35], [44, 74], [25, 54], [93, 122], [0, 28], [41, 68], [39, 68], [17, 48], [159, 186], [62, 94], [83, 115], [6, 33], [20, 51], [31, 62], [4, 35], [56, 84]]; loss = 0.016656 low_pass_filter = 0.370
+Epoch 0: | | 3069/? [32:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 3070; scene = ['9c11364f882e0711', '83f6690418bf02c6', 'dab103950a98ced4', 'd2e9788589f8e68c', 'b51950afe84dd6e3', 'c6395f5729950511', 'b9fa9a93b6c71d1a', 'a667f1e8d9c8052c', 'e594fd14a8185723', '3d9226a299c212c5', '960b87d0c2ce86d2', '513b92157acf770b', 'e61c111b3956bcdf', 'a45bddb856f554a1', 'd979282316a230be', '92539fba4da3e114']; context = [[0, 29], [9, 42], [8, 37], [152, 182], [187, 220], [104, 135], [150, 182], [71, 104], [134, 161], [0, 29], [2, 32], [32, 61], [130, 157], [65, 97], [1, 34], [14, 45]]; loss = 0.013420 low_pass_filter = 0.370
+Epoch 0: | | 3079/? [32:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 3080; scene = ['e9e020c514404b0c', '985e2ea54fcdc17f', 'eda827d23766de0e', 'acc04053479de7b6', 'e6910569bc347ba2', '25f120b63c777a3d', '73d0cc9f88dd47a4', 'dd249f6269133fd4', '51e7e2abc42fff2f', '32a20b1e5eba48c4', '337fbf1d3c3e4ff3', '2eff6336cc3bf657', '231fd0a735520713', '1b4e1193347b5cbd', 'a559ed659c3d87e2', '229581725830ce75']; context = [[13, 43], [22, 51], [16, 49], [25, 52], [76, 107], [90, 122], [31, 62], [12, 43], [16, 47], [229, 259], [26, 57], [34, 61], [193, 226], [15, 44], [183, 210], [207, 234]]; loss = 0.015574 low_pass_filter = 0.370
+Epoch 0: | | 3089/? [32:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.000,train step 3090; scene = ['de05d4ed34195978', '53c54932758974ee', '5b357eed900357ef', '5751251801d5eb33', '8b95bc9e3b662617', 'c184945b52f9fdf3', 'a39e1687e44f7eb3', '5888770aaa4a968b', '4fed0ca3762d9020', '211b3170fa4a2ead', '80e41e132e60ee48', 'e5adde4cd7cfdeb0', '9151d4700890619f', '0468ca30d13a319f', 'cd02dfd44bc70eba', '5348f27cc8d85489']; context = [[19, 50], [37, 67], [56, 84], [2, 31], [220, 253], [73, 105], [29, 60], [38, 65], [25, 52], [100, 133], [27, 56], [56, 89], [40, 68], [23, 52], [9, 39], [18, 50]]; loss = 0.015686 low_pass_filter = 0.370
+Epoch 0: | | 3099/? [32:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 3100; scene = ['9a8fd1d3cf706b89', '3370b1a40953d7ca', '02a840608387c7e1', 'b3ccb1e1003fcb6d', '7c3c345404cd29ee', '7c6a8caf90ddc0fc', '484b6df8b586dd1a', 'b4049b5f74fe2c1a', '5a66a30abe439c45', 'b69d40be1c9a8599', 'adc7501dc8ade1dc', 'cacf5a8fbeb03dff', 'f002b5f89f4e118c', '6611ea98f1c6e06b', '433d11fdc0b562fb', 'cfc8efa4147c1172']; context = [[16, 46], [20, 52], [16, 46], [27, 58], [31, 59], [26, 55], [90, 122], [1, 30], [28, 56], [124, 157], [36, 67], [3, 33], [104, 136], [55, 87], [11, 39], [79, 109]]; loss = 0.017505 low_pass_filter = 0.370
+Epoch 0: | | 3109/? [32:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 3110; scene = ['9b226bab17ff4cda', '4bf5f9fe684d0e6f', 'af427a905add98c3', '88f2eab323acbc74', '7efd5aa344bcb8d9', '45be4bdfc2b294b2', 'c8a2d31ec73e3f80', 'ac6468e16d1eee95', '1cd843069eaaefa9', '0a7cdd7ee8c0d8ef', 'ee6c6592d5b9e07e', 'c35bcc77920f123f', 'b9668115bf616756', 'f821539af200d4eb', 'd755b782b6779009', 'c99fc037378ebf3f']; context = [[1, 32], [73, 100], [56, 87], [6, 33], [101, 129], [27, 55], [31, 60], [22, 50], [51, 84], [43, 73], [2, 30], [222, 253], [75, 107], [9, 36], [0, 30], [10, 40]]; loss = 0.015791 low_pass_filter = 0.370
+Epoch 0: | | 3119/? [32:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 3120; scene = ['ea71db72f882f844', '9ff86abeed74f7bf', 'f242147765d4e5e3', '591a55875170ddf4', '262e288353a8f120', 'f3dc412274c6c8e0', '581c854141592535', '82e3d222b68034cb', 'd92c8e19a59a9a49', 'cc8083a122ecfcd8', 'b28e405bcbcfb7d6', '35e10ff7ba26bd0c', 'bf9428779bb4c4c9', '857f9e94ae854991', 'b4f3501bfcf7f1bf', '9c6a1dbd69cfffe5']; context = [[63, 96], [40, 69], [3, 36], [141, 171], [96, 129], [142, 172], [29, 57], [117, 147], [29, 58], [2, 35], [158, 190], [22, 52], [16, 49], [14, 44], [71, 100], [94, 126]]; loss = 0.016577 low_pass_filter = 0.370
+Epoch 0: | | 3129/? [32:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 3130; scene = ['d5fdbc5fc707f587', '89905d291f2f7596', '75ac86500993ad2a', '06328d0d5cccc46b', 'a15a553c9850b44c', '9cf046728c3db4b0', '8fcae49975dab026', '03781fa53fd2620f', 'babd376b6bd31006', '1b0502c9984a4204', 'e138a461554b0cd5', '5678e8f9b633d520', '02c33557f834ef45', '45e5e077d58aa48d', 'd64bb169c283dba8', '13e41bb40b6721d8']; context = [[6, 38], [13, 45], [182, 213], [1, 34], [15, 45], [20, 52], [42, 72], [105, 134], [48, 79], [44, 72], [45, 76], [110, 142], [95, 128], [8, 41], [91, 118], [123, 155]]; loss = 0.017220 low_pass_filter = 0.370
+Epoch 0: | | 3139/? [32:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 3140; scene = ['e2511c0663edb8da', '647f47ee75e01097', 'bf22773c03a8d639', 'fc727fb767da97f8', '1fbd498843114f98', '53007e71653c882e', '727a60e743d4b742', 'f2b7726c0dcfc9b9', 'e106d864e50c158c', 'a8035e43949f8e73', '6c74218cfa8488af', 'f06d8f7b16e9873c', '9f1176b8b75fa7c7', 'c8c74724bd3e6fd6', 'a17833025aa5db5d', 'eeb5c563af1bd027']; context = [[84, 115], [47, 79], [121, 150], [199, 227], [83, 110], [85, 117], [46, 75], [49, 77], [68, 98], [0, 31], [6, 36], [74, 103], [13, 45], [23, 51], [0, 28], [100, 131]]; loss = 0.012892 low_pass_filter = 0.370
+Epoch 0: | | 3149/? [33:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 3150; scene = ['cfe86f4d4e636359', '01c9d8d300256658', '0c0da13b7c96d15f', '03424d8cb042fbc6', '99eeafcbc8fede20', '47cd9a752d3fb63f', '35c5fc80e85db7cd', 'd41d914f1dfffb80', 'ad10716e912419fb', '400caa0619a990a4', '99f1c2a83be00a5d', '99288147cbb3179f', '22c21bc532c93ede', '6b80686260e18b3c', '50b60190fdc35512', '1d6990e569725b6e']; context = [[97, 127], [40, 69], [20, 54], [86, 114], [44, 78], [103, 135], [72, 102], [24, 51], [98, 131], [107, 139], [43, 75], [46, 73], [15, 45], [129, 156], [177, 209], [0, 29]]; loss = 0.018359 low_pass_filter = 0.370
+Epoch 0: | | 3159/? [33:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.000,train step 3160; scene = ['455ef17251608d98', '2a3b8b8cc1fedcd3', '8ee6d91658f575f1', 'ab1a470fd0aa350a', '7de38ac4e903910f', '5016750fece91181', 'd637df47561724e7', 'b72d9fdc671b2e3f', '1fd04b3b726fc68a', 'b9baabda7e1103c9', '5c9c5decaa12cfd1', 'd2b1b93dee94507d', '5862391ea26da3ea', 'ceeb544dc7e54313', 'ece5216326fa2f72', '012019df6ff17e30']; context = [[25, 52], [92, 126], [34, 67], [127, 158], [115, 144], [2, 29], [48, 76], [0, 33], [67, 95], [29, 61], [4, 36], [49, 82], [19, 49], [104, 134], [26, 57], [5, 38]]; loss = 0.019173 low_pass_filter = 0.370
+Epoch 0: | | 3169/? [33:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 3170; scene = ['f8002823df94e9f2', 'd88b4b2fe304e141', '1059df90c1493f93', 'ef0615bf71e28966', '1bf2ad010fbce70c', '6750ee6f269e3292', '1bd19a79fe682e24', '38674e38103d5da6', 'bb14c9ef294f2eb7', 'ff66ce41eedc4d21', 'c5013e15646dc1f6', '3cb73cf42139a578', 'df1d3fa0c3580009', 'd1bd5b345a41d799', '6991ad9b67711c91', '98fcb849d678ed09']; context = [[1, 32], [1, 33], [0, 31], [85, 115], [26, 59], [50, 77], [22, 54], [39, 72], [14, 44], [18, 47], [30, 63], [64, 95], [1, 31], [15, 49], [96, 130], [60, 88]]; loss = 0.016753 low_pass_filter = 0.370
+Epoch 0: | | 3179/? [33:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 3180; scene = ['5be06a710f3fe6f2', '79a0e8398b6a1cc1', 'd83d52c7f9fe7c3c', 'bcaad1326a06f2df', '5dd74e1b033f8b76', '80848467f9250e32', '28f763b7b53ee1b7', '9e6d5b78c1967c26', '9e3b211ae1e25717', '24f38e01310372cb', 'a98eecb157e51cd0', 'f79131c37898081d', 'ba6bf49cf0b22c94', '067a04bebdcba8e5', 'eb70d13262cb7a89', '3ce0fba2c29095e1']; context = [[14, 43], [137, 164], [41, 72], [98, 127], [42, 72], [29, 61], [78, 108], [77, 104], [19, 46], [206, 237], [65, 93], [31, 64], [22, 52], [49, 81], [46, 73], [44, 72]]; loss = 0.015308 low_pass_filter = 0.370
+Epoch 0: | | 3189/? [33:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.000,train step 3190; scene = ['d3b0bdaf452577d0', '3ceae7bf233b07e1', 'c472a0ece0937100', '1f4ff72d26fbd071', 'f896f057f530ebce', '2cf0df5ede50bd1d', '2b44e0afdd749c4b', '376b41c875103f43', '00066b3649cc07e5', '1f9140d0fa42c417', '3eaf106eb5c0841b', '0beb4ad764771753', '58e6dbc7ad022040', 'f01d7cd82b3f1bed', 'cbada5419127d257', '855879ba909279d2']; context = [[101, 131], [2, 36], [24, 53], [155, 182], [194, 226], [10, 42], [37, 67], [110, 139], [25, 53], [72, 106], [14, 45], [5, 36], [7, 37], [130, 164], [2, 29], [93, 125]]; loss = 0.014767 low_pass_filter = 0.370
+Epoch 0: | | 3199/? [33:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 3200; scene = ['76467df94b133797', '45d1ce034325d8b5', 'be10e6849ca2240a', '5c1ce1faee51a8d9', 'a5b167a51f1d8397', '8acffd95fbf48c10', 'ce019e2e248ec5b3', 'bc30fab0317ce551', '58ac0ca6ba85ada9', 'd4f58eddfca6260f', '40d0ba7e188c5151', '85ca66628c3b583c', '504f84dcd4f6fd4c', '82f678db97e94615', '8d073ac3acb75992', '0f3a74f2d2eeb583']; context = [[23, 51], [52, 84], [33, 60], [24, 54], [25, 58], [141, 174], [39, 70], [89, 118], [221, 251], [15, 43], [24, 56], [24, 54], [186, 213], [37, 68], [1, 31], [3, 33]]; loss = 0.014484 low_pass_filter = 0.370
+Epoch 0: | | 3209/? [33:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 3210; scene = ['f60f5ea9b6487369', 'a7f60ce61f15c284', 'd6fe2b5e5c936c9f', 'dad96ef78afa5f7b', '577bae9426456dc5', '0ca1a94df7987762', 'c211eafa20d6c2fe', '78f2bb288dfb07e5', '225a3dbc1dc4f7d4', '28880239a1b0a38a', '2dc15165798a1b95', 'e9c5aa0b62318e18', '4ef750416795cd71', '572c288eb111c1db', 'c57d46c213a2a46a', 'e8ed0edf1828cc15']; context = [[7, 35], [82, 109], [14, 41], [193, 225], [250, 277], [105, 138], [11, 42], [88, 121], [58, 85], [38, 69], [0, 27], [37, 64], [58, 92], [0, 27], [17, 47], [17, 44]]; loss = 0.018721 low_pass_filter = 0.370
+Epoch 0: | | 3219/? [33:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 3220; scene = ['c1da5a122e3a6486', '4f2bfe280d413022', 'e79f7d5144234b88', '58ba2fd29b6a2a07', '404528c832c55d9b', '1786a3ef14ae7d19', '6b8f32f92dd0e644', '4071f013d607956c', '0481ebfb4942984e', 'dba56f32f3c6cf9e', '8366faf56e918ebe', '9b64e7208792a0ca', '95553c6d4a90fc32', '6e9a46ecd30a00e4', 'e6d6d65b924b0725', 'fef48b769b17f0ed']; context = [[19, 49], [70, 99], [25, 58], [42, 72], [77, 108], [35, 67], [49, 82], [6, 38], [24, 51], [3, 36], [31, 64], [24, 51], [37, 70], [38, 68], [27, 60], [191, 223]]; loss = 0.017231 low_pass_filter = 0.370
+Epoch 0: | | 3229/? [33:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 3230; scene = ['1d67a9e0bedfa5af', '8f5f4cd9432e1c0d', '7ce73150f91ec12b', '250be6ba44083611', '430eb2cc042b8939', '3a962e4e715e65de', '902acb436b27685e', '427ccf30023b9ec7', 'fdfa2bdadfc99d14', '6475541b77109059', 'cdfee7021f80e4cb', '6db6b9ec74297f7e', '08fd748d62f03890', 'bdce470ee48915f0', '69fa43535c0ce54b', 'bfde7f58848d4403']; context = [[20, 48], [6, 40], [15, 49], [79, 110], [37, 65], [7, 35], [201, 232], [64, 92], [12, 43], [41, 68], [1, 33], [59, 86], [41, 69], [34, 68], [14, 42], [38, 69]]; loss = 0.014890 low_pass_filter = 0.370
+Epoch 0: | | 3239/? [33:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 3240; scene = ['92c72363c53e8498', '71a67ae4eccba383', '0764de57c2aac0b7', '2a5f0ea759c4a950', 'a152a4b1f19f25ed', 'a5accfa355df6730', '46bd6752c4ea9d50', '8a78089f2d693689', '678d2e43ab3e3371', 'cb68843a409bae9d', 'c1e78cf2ffa86d43', 'dda98b150531b29e', '6a350ebce6b44cf8', 'fa5873dc99dfde1d', '2bccd3e30dd64180', '2b0cfab67601662a']; context = [[9, 38], [95, 128], [15, 42], [65, 96], [60, 89], [87, 118], [247, 277], [169, 198], [12, 45], [13, 41], [14, 45], [84, 115], [1, 30], [86, 118], [65, 97], [4, 37]]; loss = 0.016925 low_pass_filter = 0.370
+Epoch 0: | | 3249/? [34:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 3250; scene = ['fa5873dc99dfde1d', '0895217c1d75fc75', 'd3e9fb196b944937', 'cd70e539713918da', '2f2c4bd219a3c52e', '5900d44f690b1ac8', 'e1488d5d2d21df06', '9f73234c746c169a', 'e870602940137494', '1b64868112b2ec1b', 'feced30301b43ffd', 'f564c7789e774725', 'd1a3f6c04d4d3bed', '3237356236c9ee91', '1de951bd50659e1b', '40346b8d1d47f14d']; context = [[76, 103], [80, 108], [33, 62], [102, 131], [100, 133], [18, 51], [42, 70], [48, 77], [4, 34], [4, 32], [4, 37], [1, 32], [48, 75], [16, 48], [150, 180], [39, 73]]; loss = 0.016884 low_pass_filter = 0.370
+Epoch 0: | | 3259/? [34:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 3260; scene = ['b7293cc97193f822', '85d8b40beee1e26c', '3cbe6fe0f3f71e16', '6c3a059a4bb42347', 'f75e151b66f83348', '45a9f07df2162f72', 'a78020b5a2368473', '3af84daf652d5c9d', 'a90cd28742cee5e0', '5e55f309753b5ce4', '9f3bcd7cc09b869d', 'c0b9d76884655dcd', '5f9e388efa364f74', '9aea9a519266134e', 'b220e8591b6048ba', '8c9aa1244d6b8737']; context = [[42, 72], [240, 274], [114, 141], [11, 40], [102, 129], [53, 84], [27, 56], [41, 70], [14, 45], [151, 185], [8, 35], [88, 119], [35, 69], [58, 87], [80, 108], [52, 80]]; loss = 0.014444 low_pass_filter = 0.370
+Epoch 0: | | 3269/? [34:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 3270; scene = ['fdd9290d4b4b17b7', '5409ddd120a2e6a5', '5a06c5d103cab700', 'c0dda1a0f92e83d8', '15e6c1b0d22b4805', 'c2070584d8687150', '49f6473054c58de3', '8225c5abe7275d40', '194caeb5100ba382', '028310f8d3315419', '99ea4556246d1332', 'e69545e8027887b4', '917b86fdee94c41f', '8a2bc0855bc6250a', '29b3050a9c0f3135', 'ba72ce893179ae64']; context = [[0, 33], [148, 177], [35, 63], [1, 31], [52, 84], [12, 39], [5, 37], [125, 152], [78, 106], [45, 75], [9, 38], [53, 87], [74, 105], [190, 223], [20, 48], [18, 49]]; loss = 0.016429 low_pass_filter = 0.370
+Epoch 0: | | 3279/? [34:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.000,train step 3280; scene = ['693ff6bdb74381f5', '4ceba2c95ef00194', 'a1ed4a38869106d5', 'b7eb5219c8161446', 'c9fba70bcf4d476a', 'b255c81f5632bb82', '1e4231e309776eed', 'c4455ba36e39c8b2', '946f7c9854834f24', '398dbb8cbc0f82a0', '8c36ce2987991993', '312e0e2bf77a6dcd', '6fb0338f8e7b7f9d', 'e95157a508d02a96', '9430e7b2e89849c7', '523cf0953b144d3f']; context = [[8, 41], [91, 122], [33, 66], [9, 38], [15, 47], [0, 33], [65, 95], [55, 89], [0, 34], [88, 116], [10, 39], [78, 107], [196, 223], [2, 31], [24, 58], [85, 119]]; loss = 0.016770 low_pass_filter = 0.370
+Epoch 0: | | 3289/? [34:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 3290; scene = ['5502f11f9b3165ae', 'b5e621584bcb03f2', '1a72762814407117', '09dc6ab625b8300e', '873c3591f993adff', 'b94a189b3b04d1d9', '306235ebe8d8ace2', '2d410cc9d20b6526', 'a160ace4ab6efc87', '75626e6698e74ed4', '88cf9a3fbae7b03c', '0dfcd6c745876600', '3a8881f871a1c76c', '2dcdffc63dd841f2', '67b55b32d8ac395e', 'd24b0c2028b42494']; context = [[89, 119], [93, 120], [4, 38], [49, 78], [18, 45], [165, 194], [130, 157], [50, 84], [10, 43], [68, 102], [191, 224], [111, 142], [72, 102], [34, 65], [2, 32], [114, 147]]; loss = 0.016632 low_pass_filter = 0.370
+Epoch 0: | | 3299/? [34:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 3300; scene = ['e3d4c90b50120608', '24caa3357e419156', '617ca1a7fe197ff6', '80398288f8500b3f', 'f7748e4b308efdf6', '803603d87459c7ab', '00b8297bf8e2a9ba', 'dc4dedbd9d472148', '63c4da235fa12a37', 'a7000ffb637433ee', '98bce8609c8a60c3', '6d76c97f029b15d2', '736faba49254299e', '5a848eab4dbf1a72', 'ec3a84969ced5ce8', 'c089f0d568b71150']; context = [[83, 115], [136, 167], [67, 94], [1, 32], [41, 72], [32, 66], [8, 41], [186, 220], [3, 31], [3, 33], [201, 229], [0, 29], [32, 61], [1, 33], [151, 179], [62, 91]]; loss = 0.016436 low_pass_filter = 0.370
+Epoch 0: | | 3309/? [34:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 3310; scene = ['3f5d1b5d95585177', 'd8ec4f596261d122', 'ba339e4baf29643d', '19afed01880c7d12', '481d9ccec9e340e7', '6225bee54ffadb9b', 'fbcee7d51e7ab05c', '0cf3b1b94a39f3d1', '4885e6060296deda', '65b786988a4bd972', '04f87b5042cca6d3', '496d83a1617cb739', 'bca513776f1d949e', '47253cc44e5a2469', '6b4e967ca81ba41a', '95730fb4e578a66e']; context = [[21, 52], [56, 83], [0, 27], [0, 34], [4, 35], [18, 49], [191, 218], [63, 94], [89, 118], [17, 51], [21, 48], [69, 100], [30, 64], [60, 89], [42, 71], [99, 126]]; loss = 0.016205 low_pass_filter = 0.370
+Epoch 0: | | 3319/? [34:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 3320; scene = ['439c55db530b8bf0', 'ade406ba3ca1aa87', 'a5dbef04d6fa313e', '8d2c92c5aff6074b', '149ad45c2b6dda1a', '765c6be0dc971f03', '8ec047d3e6c67047', '83a2d84657f60fec', '417db333638be420', '68c8db171dab75ea', '371a69a4c08f16c9', 'ebd1c21fe893ac74', '30878b54736367da', '63d30096d9447949', '69a31234f2d534f3', 'ecd91cb5b8acbad9']; context = [[20, 48], [14, 41], [44, 72], [102, 135], [115, 142], [95, 128], [0, 33], [6, 35], [20, 48], [221, 255], [56, 85], [13, 42], [52, 79], [83, 117], [5, 34], [66, 97]]; loss = 0.018753 low_pass_filter = 0.370
+Epoch 0: | | 3329/? [34:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 3330; scene = ['18c9eb6a083050ab', 'b71eb67f42fe4777', '7b28545e0b1de8d6', '00f31074484587e3', '76249ef3f80465ef', '87a3943d9e2ac870', '3f89af6eab33d00b', 'c3e7bc3a80c717b2', '61d56cc08c4036e7', '633218b916cd8c42', '9105a2228767887b', 'c4c41548cbe80a57', 'e6d5c31e345f622d', 'f427626eef7d023e', 'e512c4632c5fd221', 'f0460e82a071eb81']; context = [[5, 38], [118, 147], [100, 134], [120, 150], [42, 73], [1, 29], [27, 60], [11, 44], [22, 54], [59, 88], [26, 55], [104, 136], [36, 63], [32, 62], [21, 50], [38, 69]]; loss = 0.017940 low_pass_filter = 0.370
+Epoch 0: | | 3339/? [35:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 3340; scene = ['855d03992bcf5480', '9d92037a929272e8', 'ee3ed049b5590d48', '9ba7ffd700b4159b', '1db6c7094f88da45', 'd4d64593d82fa175', '589b0dc1fea3fe62', '0978f12b4df5bae2', '8020e0b42282ce7a', '4ccc05527dea95a9', 'b1e04eefed95a5d4', '79e14401f6633eda', '24887cb60eced656', '64b035cd851d2f46', '935b717bebe77a7e', '9c7b1860a85da12d']; context = [[1, 29], [11, 42], [0, 27], [32, 66], [72, 104], [112, 144], [11, 39], [8, 41], [59, 93], [176, 203], [0, 27], [163, 195], [21, 54], [76, 104], [60, 94], [168, 196]]; loss = 0.013473 low_pass_filter = 0.370
+Epoch 0: | | 3349/? [35:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.000,train step 3350; scene = ['bc883f3f1d634f9d', '2f4344faadf0e69c', 'a7ff67a70d06f9aa', '4b2e1fbcbc0e5b90', '760c4946c9cab2bb', 'e98d3fe566281238', '981db49851a56ffb', 'd30c4b8ff4370b24', '8d08b6d3bb4eb771', 'd458455ddb3050e2', '27ca295046fe3369', '55f2830fc736529d', '0a1aa875aca3711d', 'b4c2e12ad3d75efd', '3ae3d6916e0d963d', '861453c483faf282']; context = [[12, 39], [56, 89], [33, 66], [6, 36], [20, 47], [21, 55], [16, 46], [37, 67], [72, 106], [25, 57], [104, 134], [15, 49], [17, 46], [10, 43], [131, 158], [40, 68]]; loss = 0.015878 low_pass_filter = 0.370
+Epoch 0: | | 3359/? [35:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 3360; scene = ['8a6c4732fb05ac7f', '46d5053d66888c5c', 'a6c1a7d49f216b2f', 'a5a0d76dc3b7a922', '3f33293df16bfac6', '74e7377fc43b97be', 'e9feab62e5a92e81', 'd80814e49be57d55', '7e709a5a25a8425c', 'bf640a5c37820405', '64d29c9ab21dc5fe', '4e2cb10509f33a7a', '8c6fb91929e99876', 'a8fff68fe7aa2307', 'a33d9028e55e03dd', '13172460199656f2']; context = [[45, 74], [65, 99], [36, 66], [13, 44], [2, 33], [12, 42], [131, 162], [42, 73], [4, 36], [123, 156], [0, 32], [11, 45], [62, 95], [36, 69], [137, 167], [64, 91]]; loss = 0.016986 low_pass_filter = 0.370
+Epoch 0: | | 3369/? [35:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 3370; scene = ['b4e0f20e225aed68', '7c797c3d016e8704', 'c03a11a9c493584b', 'bcf6fb55143410c9', '1c12478302c7dd14', 'd3b5c826afd6e9c2', 'a5d9b402ed01bf4e', '72c72e43b808b0b0', '5182a2a49dfc5bd4', 'd98d96650581af8c', '3f8937c5ddbe6d74', '108ba78f9946d978', '2f8e9839ebd582cd', 'f5a777195b9d4286', 'd5ae945909789ef7', 'bcede31352c7bd4d']; context = [[46, 75], [0, 30], [19, 53], [42, 71], [52, 83], [1, 35], [5, 38], [116, 148], [0, 27], [14, 47], [128, 158], [27, 56], [58, 91], [31, 59], [27, 61], [27, 57]]; loss = 0.017647 low_pass_filter = 0.370
+Epoch 0: | | 3379/? [35:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 3380; scene = ['08f02e7ec7dd69da', '893cad7c624662b4', '7068fd93a41de3a9', 'aa809e649155f86f', '5376cc836571e8d6', 'a3a5884addc0279a', '9bff32f6dc3defea', '809658c303767e17', '24a67da9e605b0ea', 'ef37be4851962545', '37d8d38f0ac90651', 'cc4a0e4d912c9cc1', '80a87b90bc845a22', '4b962bf87ec58ecb', '8e514d928849c75d', '1eccd1ba6975ab75']; context = [[49, 83], [10, 37], [47, 77], [156, 183], [166, 198], [8, 39], [98, 128], [66, 93], [62, 94], [59, 91], [25, 55], [5, 36], [22, 56], [194, 223], [96, 127], [150, 177]]; loss = 0.013445 low_pass_filter = 0.370
+Epoch 0: | | 3389/? [35:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 3390; scene = ['eb1d14055e828c41', '23e956eb11c43626', '99a90c9f04f840fc', '9bd27245632f7e5c', '8a57f52da27eb5fb', '53bca77d4e3f85d7', '7ab4c9902de4a6f6', '20af62cb11b5732b', '4da78e47fef24309', '3567756df2b457ac', '64b50539746fbb31', 'a688345950054137', 'd105006c740c2cfa', '3254421780c522b1', 'ae46c18afc8ab55f', '13b32cb917dc8b6e']; context = [[85, 118], [17, 48], [241, 272], [152, 183], [12, 43], [149, 183], [30, 61], [175, 204], [48, 82], [24, 53], [27, 60], [42, 75], [20, 53], [43, 73], [57, 86], [30, 64]]; loss = 0.015273 low_pass_filter = 0.370
+Epoch 0: | | 3399/? [35:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000,train step 3400; scene = ['cf9158363c775c65', '3d6b9ddbc7735a60', 'beca98893cda11dc', 'a9d316ab2668c532', '3eaab1c23dc2de19', 'b95b5f13e4749e79', 'fe480b077979046e', '0e82fcaf0ccb2ba5', '18179ad32046b970', '8b6ef87f30a948f0', 'b525fcb10bc9f521', '1126a0bb6917521f', 'a1990e1a1aca5454', '468a09c983950e4a', '1710ca2ef5baa103', '483642b8e30a8860']; context = [[34, 64], [52, 79], [190, 217], [66, 96], [28, 59], [2, 29], [129, 159], [22, 50], [3, 31], [157, 189], [72, 103], [59, 92], [204, 237], [1, 31], [0, 28], [15, 47]]; loss = 0.015599 low_pass_filter = 0.370
+Epoch 0: | | 3409/? [35:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.000,train step 3410; scene = ['ce839951021a9e6a', '0542dc34079ab46b', '7c0b9b27b0221a06', '7c9f6f07c626b097', '3ccefee0ded9c4c3', 'c327f856f0dd4c73', '0eb106f9b3ffe349', '66bb189563306d98', '7759fb0b4c2719d5', 'bcc710f216eaf9d9', '374040fd2830320b', 'ad498413c27daaf3', '7e84f5b757150df9', '859c9f522a98c5c3', '3851efdbf6c5998b', '859b57a795056901']; context = [[11, 42], [10, 41], [65, 97], [39, 73], [3, 34], [0, 29], [96, 125], [75, 106], [21, 55], [5, 37], [39, 70], [1, 35], [60, 91], [40, 73], [22, 54], [11, 41]]; loss = 0.013277 low_pass_filter = 0.370
+Epoch 0: | | 3419/? [35:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 3420; scene = ['f6d7dc72b9906e1b', '3b5ecc7fa7f0597c', '42c32233f309708c', '99a34d6492f6ccfe', '985a81850d13edfd', '22c651e15b5d5339', 'cd80c587743d9836', '808d34c910e9f8ff', 'eb25a67b8edf24dd', '0b77cab786151df6', 'f15c0a5e2869e61a', '3ca571cdaf0080ee', '3888df11c21d4db5', '8c662a617235e175', '71fcc35fb52def0a', '7409fa8e94c4edb7']; context = [[23, 57], [26, 55], [119, 153], [146, 174], [92, 125], [35, 63], [23, 52], [33, 61], [35, 63], [38, 72], [0, 29], [1, 31], [3, 36], [5, 38], [2, 31], [17, 46]]; loss = 0.014635 low_pass_filter = 0.370
+Epoch 0: | | 3429/? [35:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.000,train step 3430; scene = ['9dece217c9bfe277', '983ed363d48f5088', '8998f29ac7883059', '891e6d7d39f1be97', 'd51ac3ee55720232', '9a21fdca2777d0cf', '886fa556f9640a63', '33ff98f64bd54430', 'a7e596c98a39e95b', 'd3586ad30c21ff73', 'b7894f3a4d70458c', '32ae7fba9602f4ab', '88e69571b9b3b6e0', 'c7ee83d8929847ee', '10776649648dd771', '393d36b4e000e53e']; context = [[120, 151], [96, 130], [1, 32], [7, 35], [2, 30], [20, 53], [93, 126], [151, 185], [171, 199], [10, 40], [76, 107], [52, 86], [13, 43], [224, 252], [41, 74], [6, 39]]; loss = 0.019145 low_pass_filter = 0.370
+Epoch 0: | | 3439/? [36:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 3440; scene = ['d8f07d36280784a2', '9e785428a4e58006', 'c7f3de0e032928af', '8ef87b7c44d0d34f', '0095d64160cfe952', 'f6144e0803cf99db', 'a86a7c2b4e5c98cc', '73cdec8e301c36a3', 'c3ccc4ebd91fc7ed', 'ae82cdf33b5b0915', '11b82d701e534e7d', '5ce1d9b4b20f5c9b', '2eb9dd51f20a9d19', '033e302c06eae28a', 'f3063c66b1e84d2a', '07d1274f64a5081b']; context = [[50, 82], [4, 36], [22, 55], [101, 134], [3, 34], [34, 68], [41, 70], [4, 34], [30, 59], [14, 43], [5, 33], [53, 85], [27, 58], [155, 185], [65, 93], [40, 73]]; loss = 0.016039 low_pass_filter = 0.370
+Epoch 0: | | 3449/? [36:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 3450; scene = ['38c67fcd3b8e4f8a', '5ad0327426e3718b', 'a1dff9c50d92dc9c', '514db696ec759153', '53dc437d11e76ef6', 'd91dbf0156e0e69d', '0b4748c575a0b84e', 'adbc22a988340ea2', 'd5a0aa264159a278', 'ac2fc17a4de90b7b', 'e9e3e7a7b80eb5a4', '4bede15a09bd44bb', 'c4cc6f399ac21181', '09b9ac7cb6232d81', '2e930e0c6528f748', 'cd59d229b00da47c']; context = [[119, 149], [31, 62], [112, 142], [10, 41], [6, 35], [53, 86], [50, 82], [55, 83], [45, 74], [38, 71], [49, 82], [168, 201], [22, 56], [42, 75], [25, 53], [42, 71]]; loss = 0.015681 low_pass_filter = 0.370
+Epoch 0: | | 3459/? [36:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 3460; scene = ['b2c001dd5cabd4b6', '15e466706ad7d02e', '2c95162efdfb9d47', 'e038d189e5f90616', '35ce6f27e3fdc72e', '0cca6a29009f4302', 'd250f5be87c6b648', '2a6925fc26fa09e8', '272f59f3d84779a9', '7b9eb87b3c33b779', '2fb9ec5355fcfba2', '73afe9702215dae0', '611d884e7815264d', '35e07043b9b3eb19', '684980eea7c8a007', '13bcc685b6ca0cc9']; context = [[18, 51], [170, 203], [35, 67], [11, 40], [75, 103], [13, 47], [2, 31], [75, 107], [84, 112], [46, 77], [55, 85], [141, 169], [146, 179], [9, 40], [0, 29], [53, 84]]; loss = 0.016179 low_pass_filter = 0.370
+Epoch 0: | | 3469/? [36:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 3470; scene = ['e5e49ef1441c4a0b', 'da32a7df6d00de2d', '8a982eafda75f84c', 'ad6996ece8de4321', '651a8ebc3a8b53e6', 'a909eba2bcda6195', '2681a222b2de8212', '0979d74fb6229f17', 'f4d5dd4c8d4152ee', 'aaa35d5b558b2928', '3bcc68a17953c75a', '1c036369a68f1231', 'cdaeee1e3b251454', 'dca9298d29ad02c5', '5e7feb40926004e4', '49dcef9a0f25a2c4']; context = [[40, 68], [8, 42], [63, 95], [6, 34], [22, 52], [10, 40], [18, 47], [33, 66], [41, 73], [19, 47], [141, 171], [53, 85], [27, 57], [46, 74], [14, 46], [12, 44]]; loss = 0.014678 low_pass_filter = 0.370
+Epoch 0: | | 3479/? [36:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 3480; scene = ['dd7eb3fbaa5f4f3d', 'dd4840f0d5227d5b', 'aa2eeecbd664a892', '83f927b94f04feca', 'd772183ca03ffcb4', '0f3c41decac6e826', 'e98a769801fc68ae', 'c1bec88535f521d5', '34aa700b2c35219b', '60b4afb8b8879139', '2532d213114b0ed8', '6eb03980a476da14', '79d73aecb3589720', '304796375251c562', '3a3ba34619ff6f56', '9d1bf37beb04592f']; context = [[193, 223], [13, 43], [4, 32], [43, 74], [16, 50], [222, 253], [153, 186], [5, 36], [174, 203], [0, 32], [38, 67], [41, 69], [25, 58], [126, 154], [77, 106], [9, 40]]; loss = 0.017930 low_pass_filter = 0.370
+Epoch 0: | | 3489/? [36:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 3490; scene = ['91ce38958fa8ee3e', '0b13ca88611e6d29', 'f2685cf241827826', '6be67867ef006e73', '024db652dd001772', 'ca1aa5c83f9fd74b', '5e4c7d3038be2c01', '133fe9e870ccf334', '8e1b4054949b6a46', '3dc75de99ef09a0c', 'e90120b06bda46b1', '5645a008715acf0a', '93e2d05bdf79d1e4', '9a7da7097b207b76', '4b586a8cb868c878', '070a524bacb9aa38']; context = [[20, 51], [35, 66], [41, 73], [42, 76], [36, 65], [32, 64], [72, 103], [7, 39], [59, 91], [85, 113], [123, 156], [0, 34], [55, 86], [5, 33], [46, 76], [66, 96]]; loss = 0.014915 low_pass_filter = 0.370
+Epoch 0: | | 3499/? [36:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 3500; scene = ['32701c869bd8dfb8', '5ee9b11a61c46984', '67144be03a04c9c9', 'ccda7bb9dfce5c1d', 'e694c343f4b5bf59', 'afc173cc0972dd2b', 'f5e3b37b1b2b5f62', '251b033c6bbb0256', '860dadf8da924a9c', 'f75559c7b45644ac', '0fc343543da71493', '3f075565092a0ab4', '396ddb86bfd42bbd', '2a77aa5a2145415b', 'd230319d9b2eb982', '4d35f03c8c3819b9']; context = [[36, 64], [113, 143], [19, 54], [141, 175], [13, 41], [83, 111], [1, 33], [113, 148], [6, 39], [73, 105], [94, 128], [79, 107], [163, 191], [54, 85], [15, 49], [46, 80]]; loss = 0.017615 low_pass_filter = 0.370
+Epoch 0: | | 3509/? [36:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 3510; scene = ['1706984ae313246c', '612fda0cd3a9c671', '6a39adec2fbbfc65', '2c50c042a0695e1f', '8a4184299dfdc112', 'ff851fc7ca0be611', 'c37ab28939776122', 'bcb68900df3fb3c7', '7a8d8426e0d1c1aa', 'e741fa80ebe93837', '7a1781db0d9a2f70', '3ff8fdd10bb511c5', 'ddfe9ba63e6d372a', 'a2fe0ee3e737c073', 'f8fb4c5f59b50530', '19b52ddc2c0b41e0']; context = [[1, 35], [21, 55], [19, 52], [35, 65], [7, 41], [125, 159], [130, 165], [10, 42], [20, 51], [1, 36], [4, 39], [11, 39], [79, 113], [154, 187], [14, 46], [152, 186]]; loss = 0.013782 low_pass_filter = 0.370
+Epoch 0: | | 3519/? [36:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 3520; scene = ['926a4f3af9386f6a', '154ca1b40882c2ba', 'e6910569bc347ba2', '86cfe990f194bb9f', '388ea1f6d5ffaa8d', '50ef002b71b5df22', '713dbc9bb40ccc99', '3c7c4f6e126f293b', 'ea19ed13b8a7a176', '18c4e5e1991dd535', 'c93d09a1a3b1f3e8', 'b6e4090f22734038', '3b1ab9666136899e', '3eabad644df2a24a', '62072e1ce4a3a351', '09d9154d6c630d79']; context = [[47, 76], [30, 58], [64, 97], [15, 47], [44, 72], [1, 34], [147, 180], [27, 56], [23, 56], [29, 63], [30, 61], [14, 47], [22, 51], [44, 73], [22, 50], [16, 51]]; loss = 0.013820 low_pass_filter = 0.370
+Epoch 0: | | 3529/? [36:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 3530; scene = ['376b41c875103f43', '5873dcd08c6e877f', 'cbada5419127d257', 'f437e5cb02d62602', '58e6dbc7ad022040', '3eaf106eb5c0841b', '3484cd375bed111c', 'f01d7cd82b3f1bed', '855879ba909279d2', '1f9140d0fa42c417', '2b44e0afdd749c4b', '0beb4ad764771753', 'f8532bb5eca0e29d', '0087cf27aa9e6167', '22ca9bcb40ef523f', 'be0f77ad0082e93e']; context = [[82, 116], [7, 41], [39, 72], [87, 120], [0, 35], [9, 41], [12, 41], [25, 56], [1, 29], [26, 60], [121, 156], [67, 102], [14, 45], [21, 49], [10, 38], [123, 154]]; loss = 0.018294 low_pass_filter = 0.370
+Epoch 0: | | 3539/? [37:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 3540; scene = ['082c89448fae34bb', 'c5b58ed9710abee4', 'ac8b3ea31c649bf0', '2a3ad705b43476a8', 'd422e6d19f76b87b', '5197f4fc56c524cb', '8b6551bb28273423', '9637428fa666ef4c', '3185573332be0be8', '8cc038af90759ae9', '3ac23dbcb3d6a123', 'a98853b11a34730c', '58a48cea66285e00', '5241930c1d2f7ed5', '53857414accb7b44', 'aac9763228745ec3']; context = [[111, 146], [85, 120], [0, 33], [36, 70], [148, 178], [119, 147], [90, 125], [4, 36], [67, 95], [51, 82], [55, 83], [13, 48], [0, 29], [167, 196], [43, 77], [69, 101]]; loss = 0.016614 low_pass_filter = 0.370
+Epoch 0: | | 3549/? [37:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 3550; scene = ['e217a44b9eec3221', '71544ab5ea6dc037', '6fa8bc5857a70689', 'eec481a022f9e86a', '1d7ad8c6900e7af9', 'd4e738e6d2dfc2ca', '84c770dab9552672', 'a24e8ad5010be329', '06966b2259fb3aa5', '61be2551bb51d4a2', '2feb2ebfb04c6542', 'd80659d665f7b903', '862bdc7209e163ea', '9174b7d336b16faa', 'a588073ae3085066', 'd3c13f24d1748e4e']; context = [[95, 124], [82, 112], [100, 133], [90, 125], [2, 33], [22, 52], [28, 63], [120, 154], [17, 52], [14, 45], [5, 39], [2, 36], [35, 65], [81, 112], [216, 244], [33, 64]]; loss = 0.013569 low_pass_filter = 0.370
+Epoch 0: | | 3559/? [37:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 3560; scene = ['503d11e898c93715', '5133ba1799428d78', 'ae2c33fc435d7613', 'aea87b7cc45be423', 'ea549f4f1346bd78', '5cdb1885cfb02fc3', 'a9c74aa59d6a1b47', '7f656223fcc8913e', '87a64b94f041d188', '00259da07b0dba33', 'a588e1cebdfb4b13', 'ea99cad2f352b54a', '4953a1f90daa9743', '7f532f61480e9e92', 'd43bcc23c8839201', 'e5fb96a5660d33ed']; context = [[63, 92], [30, 64], [33, 61], [52, 81], [19, 47], [42, 75], [42, 71], [18, 53], [75, 104], [156, 186], [35, 65], [71, 99], [174, 203], [108, 142], [161, 191], [48, 77]]; loss = 0.014118 low_pass_filter = 0.370
+Epoch 0: | | 3569/? [37:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 3570; scene = ['b712b3811dd7e165', 'bf3e9ddc696efbc7', '17b88c14a727ba51', '8b3780acc3a50b68', 'dce67bdf972fe9c3', '362b3e11a4f3d6bc', 'ce31e33f156aeec5', 'b7b258cdbcf3f630', 'b6d22d6bd307cc90', '7111ae9755f6fbb2', '4af0acc8924f8df3', '756a0a00121f53d3', '9687e70e5f4eed37', '214c29d12940696a', 'cdcc58497fc89b85', 'e599e584e54fd42b']; context = [[65, 97], [129, 157], [2, 31], [154, 187], [83, 118], [17, 51], [27, 61], [145, 173], [137, 167], [155, 186], [4, 37], [62, 95], [4, 32], [91, 119], [24, 55], [32, 66]]; loss = 0.016566 low_pass_filter = 0.370
+Epoch 0: | | 3579/? [37:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 3580; scene = ['43b71e076982a21b', 'b1ade16c01675828', '2ffd5c936053835b', 'faa09c4a4bb3844c', '20538de137dec3a0', '096e540f66383e76', '31bdd3ef9c2cb639', '9776b8ac431275ab', '0fd8faa9473eeb6c', '13f1750202277c01', '0c2960b2659abe55', 'fd840aefa49b09d3', '2d0f0343858859ee', '647c92e70b37c9c7', '74001972901b7a03', 'cb25459349f37a83']; context = [[11, 46], [78, 108], [25, 53], [187, 215], [51, 82], [4, 34], [64, 95], [221, 254], [18, 48], [1, 31], [16, 44], [43, 78], [30, 60], [4, 36], [161, 192], [37, 71]]; loss = 0.015716 low_pass_filter = 0.370
+Epoch 0: | | 3589/? [37:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 3590; scene = ['d93481fba83bd8fd', 'a9883648d75c17d9', '175e51612f25a50b', 'd8e286da30daba52', '7a244e6ffc814898', '51cea299a0fa2ead', '0ab1a55e644c522c', 'c6dd634f18d3ad0c', 'aeb84a5999cba0c0', '32975f7fa4ec8e80', '0ec72b6e6953a36f', '93b5d419e723bfc1', '5ab0e29d67fadaf2', '8c9a1857ae2de88f', 'd8f10e2316af086a', '69c56895f9cd7d39']; context = [[1, 30], [6, 39], [94, 125], [229, 257], [234, 266], [38, 72], [37, 66], [108, 136], [86, 114], [50, 82], [74, 104], [18, 46], [56, 85], [51, 85], [3, 38], [146, 181]]; loss = 0.014714 low_pass_filter = 0.370
+Epoch 0: | | 3599/? [37:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 3600; scene = ['db84f84b1d775bb8', '07916b8004a8e336', '89cc333342232a19', 'dfddc9d209e8f281', 'cc8d3ade008d8819', 'c019c23d2ddcd8bd', 'e249721b18da12f6', '03bf529f48bfbbed', '3c0a2c6b785634d5', 'f23de15ce9f60bdf', '1201c21d12e6aab3', '7e22d487905253b6', '2d1ef0e2016d80f0', 'c97b906d62b3b60b', 'b83838c091a3d1fc', '6116fc054517d36d']; context = [[5, 34], [84, 118], [91, 119], [2, 32], [50, 82], [98, 129], [41, 76], [35, 69], [53, 88], [108, 142], [15, 44], [3, 32], [7, 42], [42, 76], [35, 63], [71, 99]]; loss = 0.017265 low_pass_filter = 0.370
+Epoch 0: | | 3609/? [37:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 3610; scene = ['0bcbfc72bbc9cf7a', '14464e9cd85e72bd', '2504c4c9dd301ee6', '1f700e5ea08df281', 'da6c310dfbb63199', 'd0e7ac78921f8c07', '3a6c71c919d08e44', 'ddb60a2851cac605', 'fb322fc5ad86f61c', 'a6468caac5fa9950', 'b4f2d07d48d69c0c', 'dd2917211969e260', '402329e243df3834', 'b1c505350a76d200', '661c9d87c961a0e3', 'f842fc3a048073e6']; context = [[164, 193], [49, 79], [0, 30], [6, 36], [42, 77], [88, 120], [196, 227], [3, 37], [112, 146], [37, 70], [105, 136], [1, 32], [33, 67], [11, 45], [46, 81], [0, 34]]; loss = 0.017132 low_pass_filter = 0.370
+Epoch 0: | | 3619/? [37:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 3620; scene = ['9075825add4e7443', '6ec99924a97ed7f5', '66d4652ef890ce52', 'a10772e4b4398eb6', '4ff83ab9e59ad015', 'd3c976525f0a1ba4', '15edaece260430f8', '3e12fb322e27bce8', '1711420f306e72a1', '1cf9d60e66ee8426', 'f238ce09e4a579dd', 'f4e0494d0f54715f', 'c205af61996dbdcd', '4915b25efee9ee1b', 'a9a937c97ed274a5', 'd81e8a20c72c1d7f']; context = [[30, 64], [39, 74], [39, 69], [83, 117], [25, 58], [1, 34], [37, 66], [107, 141], [9, 41], [3, 36], [21, 51], [17, 49], [31, 59], [77, 108], [1, 35], [26, 59]]; loss = 0.014468 low_pass_filter = 0.370
+Epoch 0: | | 3629/? [38:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 3630; scene = ['586168cbb8fd4583', '0129bec473cfcae2', '2a1831b328268345', '2bbe015bfbec987b', '475f76d77a5bbf1e', 'b69737f8793f8741', 'ba6091fde6e9ec9d', '9e8a968b1a4419fb', '750dcf52fdc26f1b', '7fd3cfd708b00848', 'b84207625c4ff157', '7193d145364c2d31', 'ec3a82daf4c8fea1', 'f229b950ec0bc02c', '0e086df7e36e6b5c', '6828fa8d4cb601d5']; context = [[70, 102], [47, 81], [6, 35], [31, 62], [78, 109], [51, 86], [167, 199], [232, 260], [49, 83], [80, 112], [11, 45], [103, 136], [18, 51], [60, 91], [193, 227], [35, 65]]; loss = 0.012559 low_pass_filter = 0.370
+Epoch 0: | | 3639/? [38:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.000,train step 3640; scene = ['9d33bdd88ce8ec85', 'a2bb6c32f99a15ca', '4456801bad039b03', '311798fdc9ad0489', '69ae4d9c04b6847f', '4b0fdf86c6cac027', '4c348950840d382e', '2e5f485606a7ce83', '2b9e25bb28bbe00e', '3eb933c3d09e01a6', '64626bd202f2254c', '2297175d2417198a', '7f3c4cd002ffbf71', '9c086d61e7ef8fb3', '356d8879ab6bcfb2', '44b340e3529d5406']; context = [[22, 56], [30, 63], [109, 137], [103, 132], [79, 110], [19, 49], [219, 247], [87, 120], [179, 210], [164, 196], [98, 127], [68, 98], [144, 172], [67, 97], [18, 50], [71, 102]]; loss = 0.018719 low_pass_filter = 0.370
+Epoch 0: | | 3649/? [38:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 3650; scene = ['d6d5ca952b430268', '4302f3576310e376', 'd31fda70072d0447', '160eab244cffa6d4', 'ef9c07a7293555b3', 'd1053e2e2fb43380', 'ef294337f32250ff', '07c292c4e24e752f', 'f31541473a1526ee', 'cdad2b86094189ce', 'c6dd29c2849afc3b', '9364344ee7f3c7e0', '91569ae4b2a46efa', '2cd0fca69890c724', '6859d00d1fc05309', 'a0a1ff4fa47cfc1e']; context = [[23, 54], [48, 78], [0, 31], [7, 39], [29, 64], [66, 99], [8, 41], [37, 66], [53, 82], [49, 82], [102, 132], [45, 76], [10, 43], [13, 42], [24, 52], [52, 84]]; loss = 0.012990 low_pass_filter = 0.370
+Epoch 0: | | 3659/? [38:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 3660; scene = ['d470875e58c39c58', '0891bc54517780ce', '45ad2a7cd8228580', 'c4b873a132c2d206', '18ef7c53ea187ec3', 'c8c4c58a2e1e8742', '7bcf3d2dab7bcdb7', 'b8bc2b9db71e5440', '9eedb5eec8cfa768', '2b6d2569e7101687', 'a352fd5d80869b72', 'dee5a241fa290209', '9603b71f48db69c4', '35df14b863fc5941', 'e2780aeff94be39d', '0470f9240ba08cf5']; context = [[53, 82], [28, 62], [131, 165], [8, 37], [44, 74], [1, 31], [15, 50], [7, 38], [34, 68], [36, 67], [19, 52], [39, 68], [28, 57], [4, 39], [179, 210], [164, 199]]; loss = 0.015854 low_pass_filter = 0.370
+Epoch 0: | | 3669/? [38:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 3670; scene = ['a994d244f04785df', '100270e080fe5b87', 'bf4bbf858718317d', '9a5201a21290371f', '11094b4b71a9ab00', '7f1f3578729394b9', '1516a2cce3cc86ff', '05a52f361a6d3cd1', '90eab4f32afc0755', 'f19f3a8c609a931e', '050b389ce2fcca03', '1681253fd7ae0242', '4f7df7eadd38a5e5', '82df5c0953501417', '3c6672f82f7440d0', '662a9e07c239751f']; context = [[57, 90], [31, 62], [74, 109], [27, 56], [27, 60], [20, 54], [21, 51], [79, 108], [13, 41], [39, 72], [115, 146], [1, 30], [105, 134], [79, 112], [0, 35], [89, 119]]; loss = 0.012068 low_pass_filter = 0.370
+Epoch 0: | | 3679/? [38:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 3680; scene = ['1d66813a86fe0c17', '5f9a86b7e44253fe', 'a50b756fe602d465', 'bab67c28f4d7c51d', 'e28995b255868344', '62e6b50e1a7d0800', '4bb2c640159a3265', '0e6672c62a9100de', 'ab11edbcde7de99d', 'dd6c60a1cdf29b78', 'a07cd9102956df5c', '5792c9e2e44b905f', 'c8d9b5cf9ebb5419', 'becad6404d25b312', 'bcbdd461249d83ba', '7340966e764f81b0']; context = [[75, 109], [67, 99], [195, 229], [19, 54], [87, 122], [40, 68], [9, 39], [51, 83], [5, 34], [18, 53], [67, 97], [84, 114], [101, 129], [70, 104], [4, 38], [6, 35]]; loss = 0.013911 low_pass_filter = 0.370
+Epoch 0: | | 3689/? [38:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 3690; scene = ['519058643b9ade30', '2789ee0911a1051d', '357bc41b6ce661bb', '3694c47ce6c7f243', '00b9ce4411353d22', 'f0d66da33527fd25', '8676191d9cc1582c', 'a1d036299c796886', '0418bc556c8c2d2b', '031669cc955343fa', '473151eff600d3bc', '9f1b2faec30849ef', '9ed7375d50f00a3e', 'c6954e6797e39fb5', 'd95fb4c6a733d51e', '8dad104fd0058819']; context = [[74, 103], [56, 84], [16, 49], [31, 60], [156, 185], [16, 49], [128, 161], [8, 38], [42, 76], [36, 70], [10, 43], [30, 59], [32, 60], [18, 48], [51, 85], [168, 200]]; loss = 0.015545 low_pass_filter = 0.370
+Epoch 0: | | 3699/? [38:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 3700; scene = ['1d0cbcda73d75506', '43088ea31b0f788c', '0a9fb4ad75ff12f3', '7acd20c044711b32', 'ebcaa41e61683a0a', '848fad475b825e34', '9a76d28513b6fdc1', '319d3690254625c2', 'ab0d3321102f7d32', 'add0de603feccc08', 'b16275ed32b6dac7', '5f4ddcc9bb426531', 'b092ab8e236a91bd', '7cadc61985b35f1d', '8244df16c1d41828', '318abe4d1ad592d9']; context = [[151, 180], [19, 54], [12, 42], [37, 68], [193, 224], [20, 49], [15, 45], [13, 48], [11, 42], [74, 103], [41, 76], [67, 96], [1, 30], [46, 79], [21, 56], [113, 147]]; loss = 0.014646 low_pass_filter = 0.370
+Epoch 0: | | 3709/? [38:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 3710; scene = ['7f76f2a8f269ce26', 'c8c7838b773c8e6d', '6a23616a2361111f', '99a11af3dcb2bd13', '12f629409a280733', '10542b29d3d73bfd', 'f81c46fec218b506', '7d634ffc2785a9f4', '9ac8241a27b0ec6d', '882350c0ebe1872a', '8dbf79bf8fb56328', 'b8c497090fba93d4', 'fecda62970485d2b', 'e7fcb10ae826b13e', '0d44b13bde35062e', '571e0a97e57417b6']; context = [[151, 182], [45, 78], [3, 38], [8, 36], [109, 141], [21, 50], [102, 132], [133, 167], [89, 117], [43, 77], [58, 89], [41, 74], [0, 29], [11, 39], [93, 123], [22, 52]]; loss = 0.013983 low_pass_filter = 0.370
+Epoch 0: | | 3719/? [38:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 3720; scene = ['72cdd65567fa4c64', '7850797441a57de9', '11db2e14d64c1b42', 'ac9bbd8efad4b995', '564437b001139667', '85f5116d79acb22a', '5b7e5ce68733bcc4', '7eae59259910a160', '12048355d2052d78', '51f80353f6008c4f', 'd490835a644851f6', '3ded2824a525f9bd', '74d1b65ab5dd2ba4', 'd281b8aa0b374a58', '63b03ffdf040e716', 'd28eca1192b1f893']; context = [[22, 56], [87, 117], [73, 103], [46, 79], [141, 172], [61, 91], [1, 31], [148, 177], [35, 65], [31, 66], [28, 56], [76, 111], [212, 242], [39, 74], [34, 66], [128, 157]]; loss = 0.017200 low_pass_filter = 0.370
+Epoch 0: | | 3729/? [39:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 3730; scene = ['335f19bbfc2309a9', '4dab27a15daad726', 'fa0b600ac32f3ed3', 'c490b8e4b89dcc5a', '54d43c912e49cb3f', 'fdd8bff495a35d3c', '04f7f3db54b4e2ee', '8961aa1e874405ac', '58d5ffd3dd7497ba', 'b7884ce2812d35b0', '1c513ccee796a9a9', 'b24b7fdd1b97ab2f', '19db4d803976bac3', 'dab76f9e8cf74e13', 'eba83c298c398adf', 'e951f6d8d6817069']; context = [[138, 169], [12, 43], [131, 162], [1, 29], [49, 83], [3, 34], [28, 61], [18, 51], [7, 42], [229, 257], [0, 34], [89, 122], [2, 31], [113, 147], [161, 195], [7, 38]]; loss = 0.013971 low_pass_filter = 0.370
+Epoch 0: | | 3739/? [39:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.000,train step 3740; scene = ['b9ad9897e3b13dcc', '33778a1390b5382c', '03b50ea418f2c267', '4145ecb599693b8f', '57c0f11046ecaace', '562f4e6ffc1fa73a', '6405e2d406e1b757', 'e0df7342222206cf', '525fe1b5f060ee0a', '258d0991293a33d8', '29f109f23fe2e0ed', 'd18d1ef2cdd52d7b', 'd5f07892e46713b2', '11903695a5befa82', '4f6402427075eae9', '5808f6374fdf5f22']; context = [[41, 71], [7, 40], [230, 260], [8, 37], [13, 47], [117, 151], [91, 122], [12, 47], [16, 46], [1, 32], [32, 65], [69, 103], [2, 30], [9, 41], [131, 161], [166, 196]]; loss = 0.017813 low_pass_filter = 0.370
+Epoch 0: | | 3749/? [39:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 3750; scene = ['810ca4a521c99a9c', '30e7593c9da6a201', 'ec7ed53eb54e78c7', '6c80a41558b9ec47', '26a1ed10d188800a', '628aef9f0530a52b', 'ea35751c4ee60f5c', '071373b20ca8de21', 'ec94c6fff965a9f9', '9ba631ec8a1568d2', '390fce4d1f115207', 'e29d926fd50d759b', 'ca88e751361b34fa', '2c78821e19bd4ab6', 'b766fb72e5b5daea', 'f17aee9a1b017d4f']; context = [[11, 45], [128, 156], [45, 78], [16, 49], [39, 73], [33, 64], [38, 68], [210, 242], [57, 85], [244, 273], [208, 239], [54, 83], [1, 35], [51, 85], [36, 64], [106, 134]]; loss = 0.015723 low_pass_filter = 0.370
+Epoch 0: | | 3759/? [39:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.000,train step 3760; scene = ['bec9aa809d6beee0', '84d0bf1c2891bb2f', 'c17186792e856d1a', 'baec6e288417e039', 'cab0d99928db8a1b', 'c544bcc5c3f750e8', 'da94a40489c43437', '606edf61ee190bb9', '3ba697b94cd6d10c', 'b7dc9efa95abd8af', '0a6f113442f426de', '390712d4787795d5', 'a888e37fa9a444a3', 'a898fd48114b2495', '98b2fc2c96bef2aa', '7bcd860f62fdf9a4']; context = [[125, 157], [0, 33], [25, 60], [121, 150], [211, 239], [0, 35], [17, 45], [16, 46], [7, 39], [10, 41], [43, 76], [47, 76], [176, 208], [26, 54], [96, 131], [64, 92]]; loss = 0.013866 low_pass_filter = 0.370
+Epoch 0: | | 3769/? [39:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 3770; scene = ['1104b859ab561a91', '293fd741a4b1418f', 'f3c989f55510b54a', '46e5a4d61907f704', '6ab9130bb775eeb3', '6f8dd2aaf516843b', '6ed7035ece6b581d', '9764623d64fd8c79', '33152d559f58f283', 'abd87f1b5936bb26', '7f0e6c095567322f', 'ef1f21f2fd22d7ca', 'f0fbc2d05c030b1f', '7cf11ea55f0fa5f2', '30be17507c872508', '057aed77be9938e5']; context = [[54, 87], [54, 89], [80, 115], [28, 59], [95, 128], [25, 57], [3, 36], [16, 51], [17, 46], [21, 52], [69, 100], [110, 139], [48, 83], [13, 45], [20, 54], [4, 37]]; loss = 0.016363 low_pass_filter = 0.370
+Epoch 0: | | 3779/? [39:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 3780; scene = ['3bf6279c60b66955', '9dee12bbbc94f8da', '9668c5dabb3bbf42', '278b575af13ed26d', '1f3a3b6b8c8fe71b', '7a5fd57c88fc4639', '858c4ebf687903ab', 'fa4960e56f7c7890', 'c96d2c070c7d86bb', 'c74720bd3ac3e60d', '34fbec28ed47b45e', '6d586fbe38202ac3', 'adaaca6a1f279f08', '02addeae200020a6', 'ba148feb4d862202', '64323d50bf5acd7d']; context = [[57, 86], [131, 162], [51, 81], [31, 63], [67, 100], [21, 49], [35, 68], [10, 38], [48, 79], [2, 30], [8, 41], [173, 203], [199, 228], [233, 264], [20, 54], [94, 127]]; loss = 0.014719 low_pass_filter = 0.370
+Epoch 0: | | 3789/? [39:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.000,train step 3790; scene = ['eff21a0a512fd6b5', '0e3a56fc6fa4f79d', '81a60582d7390e95', '575b687507b7dba2', '1d48beb841b5ecf6', '0e96455ada37fdf7', '89bd3feab45c5455', 'fa2a932e44e424b0', 'da35cc9b10471676', '73691a68196265a6', '315f45e10716de12', '688c59c5632c620e', '96575798d7ecc6f8', '6d12411b217f0b26', 'db648bab28729a9b', 'b488e28846b83d6e']; context = [[46, 81], [6, 39], [163, 194], [4, 37], [34, 66], [21, 54], [15, 46], [78, 111], [29, 63], [57, 86], [2, 35], [0, 30], [60, 94], [43, 71], [61, 89], [45, 76]]; loss = 0.016456 low_pass_filter = 0.370
+Epoch 0: | | 3799/? [40:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 3800; scene = ['d2739cd7ec4f2ac9', '9c711cdbbcc89a33', 'fba66650318c0534', '98a0969d2e61aabe', '9d5e2fabbfaf74ef', '9761d07ca7f2a0fc', '4057f16695021b25', '4e1b882813955e5e', '6e884ff6d57a3364', 'ed9dd8ce473cc52e', 'ed75866ec9a40107', 'fea172f3d8b10e02', '7d08a5d6a3217be2', 'c7bea6aa7296c50b', '30a815b0b47e8a6d', 'c8af89fa161452c0']; context = [[34, 62], [1, 33], [24, 56], [200, 228], [119, 150], [156, 190], [177, 210], [79, 107], [14, 45], [29, 58], [48, 81], [75, 110], [66, 101], [67, 102], [128, 160], [61, 93]]; loss = 0.015333 low_pass_filter = 0.370
+Epoch 0: | | 3809/? [40:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 3810; scene = ['771c99720c383982', 'badfd7edf4b25b37', '42b2dabdc5ea4d93', '74e22e2724cb0a9b', 'fceff078ea39c8b4', '17a43ba9a8843508', 'cf0f25dfe419c0e5', 'd62c69dc9fd6be34', 'c5e7242756e6bdfa', '4fd151a48542df52', '2fba1210e43813a9', '1a9a6ef842a8068f', 'ba57ad8ee0354f53', 'b12f64d6002ec745', 'a41c750693eb1472', 'e3152b1ff94c2e15']; context = [[18, 47], [55, 89], [156, 189], [177, 208], [53, 85], [4, 34], [24, 52], [7, 35], [81, 111], [74, 105], [8, 37], [3, 33], [56, 86], [27, 59], [236, 266], [18, 47]]; loss = 0.015016 low_pass_filter = 0.370
+Epoch 0: | | 3819/? [40:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 3820; scene = ['d2f54cae2fa4f018', 'cc35f8878cc75987', 'ada53bdfe52930d5', '96c16a0964ddf0da', '325dd995f2faad68', 'f8001b9bdabb0591', 'd98f07d4d0dc8820', 'c9e6a7965c8f7430', '820ec17b78ae0742', '833f71046fd07957', 'c73842111303a312', '22d2e0be999a5366', '169edee379eb34ea', 'f38d30f6f359f68e', '1f4bb4d3ae5384e4', 'e6e089811d63abbe']; context = [[7, 41], [42, 74], [12, 47], [21, 51], [130, 165], [102, 131], [35, 70], [12, 47], [3, 33], [62, 93], [34, 65], [105, 134], [47, 82], [15, 49], [53, 87], [63, 96]]; loss = 0.018148 low_pass_filter = 0.370
+Epoch 0: | | 3829/? [40:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 3830; scene = ['2dee81e96f68d0db', '935ee686ff5710e3', 'cad624fb40c7edd8', '8fbcdc76964a6907', '72170a18169c6639', '7781eb2ef392bc22', 'b546b62956ba47a8', '8bbd9f527f5b290a', '59e2b5fe30f6f04f', '674af1e9c4cc9e06', '5afe72928b27eaf1', '231526021294c8a3', '1400a54322d4bb6f', '15d9ab10d9e2c6b9', 'b19aa9f09dc75bcd', '5f90abeec03dbf0b']; context = [[27, 55], [177, 211], [168, 198], [151, 185], [30, 64], [200, 233], [14, 43], [14, 45], [174, 206], [186, 221], [52, 85], [71, 106], [173, 201], [51, 84], [8, 37], [54, 84]]; loss = 0.018423 low_pass_filter = 0.370
+Epoch 0: | | 3839/? [40:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.000,train step 3840; scene = ['15dbec007a2cf25d', '607275d6a83af10f', '6505566f83e56f3d', '42dd11781969ca74', '8875b49387b58221', '6f62c78d5d1dea0b', 'f18e524ab2d288c3', 'ecf8a45df447674b', '591d561193edb05e', 'acf48db83b874587', 'ed73d167cd9bb9e8', '24728560754da352', '5ac5ba38c2fca2d1', '46f7affec5786351', '3122c77bafab0f7b', '25983d374aa28c4a']; context = [[24, 53], [21, 51], [31, 66], [23, 58], [81, 111], [22, 55], [222, 254], [16, 49], [50, 85], [73, 107], [129, 158], [34, 67], [162, 190], [196, 228], [47, 75], [141, 174]]; loss = 0.014718 low_pass_filter = 0.370
+Epoch 0: | | 3849/? [40:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 3850; scene = ['948c921929ad168b', '47f634b114a3b671', '97eb86d76d10ff2d', 'ad88a6a2918af1b5', '2e0ba1b69d5e48a3', 'fa88a7ed3486cf14', '8a8015e2f4e37ba4', 'd7080cccb7dbe342', 'f1bc85de1aaaca56', '2edcdac113b678e0', '6da0305d7c0b9eba', '55a5e674fe071287', '8809f54c9198fc91', 'e7d44d4090d04fdf', 'afc51d37989f0c8b', '3d063393b5a6029e']; context = [[19, 50], [196, 232], [116, 148], [47, 82], [198, 229], [15, 50], [23, 59], [38, 67], [0, 36], [33, 65], [24, 52], [4, 39], [83, 114], [11, 41], [40, 74], [27, 62]]; loss = 0.015841 low_pass_filter = 0.370
+Epoch 0: | | 3859/? [40:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 3860; scene = ['28e3c9a4261b68cf', '4b2d80c510bb8088', '73341b79eaf41f6a', 'a60a2e4385f361ac', '472681b6b747e84a', '09028d01a4e4343e', '0ebbdd2d2ba475c7', '338008a25afe3c9c', 'b6c080c0457896b1', '0da32cfb9483ba52', '4609cbd1d6254985', '1316f6809b85ba42', '261966d35cb9048d', '1a2b1d9e7065035b', 'f7b4d47fa023d83c', 'a8708276de880b2c']; context = [[25, 55], [0, 28], [9, 38], [51, 84], [22, 51], [13, 44], [20, 48], [101, 136], [9, 42], [136, 166], [0, 30], [14, 46], [23, 55], [21, 55], [7, 35], [11, 43]]; loss = 0.014744 low_pass_filter = 0.370
+Epoch 0: | | 3869/? [40:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 3870; scene = ['9476b5ef80030c0e', 'c13bb399a020e3c3', '989b11ed7420add7', '0af2c96de56bf884', '9e3fccd43f45c2d2', '6b2735cb86d4e4f1', 'c7bcb6e6fb240827', '2e52528c924eec10', '21c6f59110072ea4', '133b10735f5e1c03', 'feb80dcb94d0a74d', '903de461c7eda2a4', 'c1d6d852f13f231e', '32f098a92269fed8', '2061c900b07c6b57', '9845362127572272']; context = [[4, 40], [200, 236], [3, 34], [89, 118], [59, 93], [1, 36], [37, 65], [11, 40], [35, 71], [38, 71], [123, 158], [5, 40], [113, 141], [34, 67], [4, 37], [18, 54]]; loss = 0.017330 low_pass_filter = 0.370
+Epoch 0: | | 3879/? [40:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 3880; scene = ['8e511bd9c1d35a91', '75a6d45012835b95', '51a1ab321c659ced', '984fcd3c7c0ddeb1', '4d3bdfc0840251d2', '5e22c9e85225ce9d', '7a6ea676693b1471', 'bc84a3e1d55aa887', 'b49b695f253edbda', 'dcf8835ddbd28de7', 'eb8e09fe06c88ef0', '632b29939a5f9e22', '19fee58298556b90', '2037d4aa4065bd1a', 'ade76d3a60591534', '8c8929ed95a54aa6']; context = [[95, 126], [2, 31], [31, 62], [31, 67], [13, 43], [127, 157], [156, 191], [28, 59], [12, 48], [38, 66], [43, 78], [175, 203], [44, 80], [33, 65], [149, 182], [26, 56]]; loss = 0.014396 low_pass_filter = 0.370
+Epoch 0: | | 3889/? [40:57<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 3890; scene = ['cd80c587743d9836', 'f15c0a5e2869e61a', '3888df11c21d4db5', 'eb25a67b8edf24dd', '42c32233f309708c', '3b5ecc7fa7f0597c', '22c651e15b5d5339', '808d34c910e9f8ff', '8c662a617235e175', 'f6d7dc72b9906e1b', '0b77cab786151df6', 'fec56e270756abde', '44b340e3529d5406', '7f3c4cd002ffbf71', '698598a706fa1d4c', 'ccf979a89967562e']; context = [[20, 52], [1, 29], [14, 46], [13, 45], [97, 131], [25, 53], [2, 38], [32, 63], [18, 53], [60, 88], [2, 32], [30, 61], [8, 44], [91, 124], [137, 173], [0, 35]]; loss = 0.017961 low_pass_filter = 0.370
+Epoch 0: | | 3899/? [41:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 3900; scene = ['e558384acd9268e8', '5161952fc3577f0a', '44c36113e6cea8ac', '1d8bf12e2ba493f9', 'd8ecce19c527bd68', '87035f1ba62732a4', '2d77b1dd90856337', '61edc60f38c95391', '6a00254256e7d9ca', 'f64045579327a423', 'eaaf81aa1bc440be', '8e92a7934ae4139c', '3990880b3e15ac36', '52221c830262ee23', '7df8f446b871b28d', '7d34ba7c00a36b1d']; context = [[21, 49], [28, 56], [33, 66], [36, 69], [148, 181], [29, 62], [54, 83], [54, 82], [24, 60], [17, 49], [174, 207], [205, 239], [6, 40], [23, 52], [82, 110], [21, 54]]; loss = 0.020247 low_pass_filter = 0.370
+Epoch 0: | | 3909/? [41:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 3910; scene = ['2b36862276366c49', '08ba91736b9b2a17', '879236637468c58e', '41adf1f6d52943e1', 'c6395f5729950511', 'dab103950a98ced4', '9c11364f882e0711', 'b51950afe84dd6e3', '83f6690418bf02c6', 'a667f1e8d9c8052c', '3d9226a299c212c5', 'e594fd14a8185723', '471d05cb8b4bdbdf', 'd2e9788589f8e68c', '960b87d0c2ce86d2', 'b9fa9a93b6c71d1a']; context = [[40, 74], [135, 171], [12, 48], [1, 31], [117, 147], [31, 65], [122, 153], [118, 150], [3, 31], [28, 62], [1, 29], [1, 36], [35, 71], [10, 38], [25, 56], [43, 77]]; loss = 0.013900 low_pass_filter = 0.370
+Epoch 0: | | 3919/? [41:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 3920; scene = ['40b8c05f6ff38457', 'be06cb0dddaf9da6', 'a698c4ba4ccca74c', 'bcf85ccd292d399a', 'c81116e9985d9e29', '079e270123c80df2', '4edb55cedc9abc65', 'd449a998f2a66c3e', 'ae5eca097e5aada0', '3b4634280ac06d31', 'ee9a284812163f19', '335986becc65b59a', 'ba04100dab2dad98', 'd85a5d0186a2e947', '0c915dbc5d322181', '3514d0d03d033508']; context = [[17, 53], [66, 96], [75, 106], [103, 133], [194, 229], [204, 235], [30, 58], [43, 74], [31, 59], [104, 133], [219, 254], [29, 62], [16, 44], [6, 37], [5, 38], [7, 41]]; loss = 0.014083 low_pass_filter = 0.370
+Epoch 0: | | 3929/? [41:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 3930; scene = ['a7a018165cd919a4', '3327b4df79479c20', 'd646eafcd1d75375', 'a1b6e8ac262440d5', 'ebcaad26ea067131', 'd2c15251a4e5047d', '6a13f52fc80a963b', '8727a972009a2f02', '5f2242ceed2ff1cb', '7dacc3867cf5272e', '0a407decff459e2b', '8217a02daf1b83d2', '6c18f4e4d2649836', '195565e5d3aaf3ed', '22959e8506d3156e', '6f12d641bf706305']; context = [[21, 54], [31, 61], [37, 68], [4, 39], [18, 54], [24, 54], [103, 131], [28, 62], [19, 52], [99, 133], [48, 80], [18, 52], [84, 115], [141, 169], [81, 113], [25, 59]]; loss = 0.014865 low_pass_filter = 0.370
+Epoch 0: | | 3939/? [41:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 3940; scene = ['4360ac16047eba4b', '645a09d7d7670e8d', 'b5260341870c7aa0', '031b56a2e1e4bbbd', 'ca2389f5e4fcfe61', '03a4631365a95cb2', '791584728efe6819', 'b623469ce6a192b4', '6b0cc71a66f4c9c5', '151adfc15e06712a', '979e786e327a2e38', 'e6784c42ef00186c', '351c033201dd3ec6', '02510ebdd1ced810', '7eee34c42271e7de', '01a3a84800f96cae']; context = [[16, 52], [143, 178], [110, 146], [43, 74], [45, 75], [133, 163], [21, 51], [35, 65], [187, 219], [36, 72], [6, 36], [96, 130], [14, 44], [42, 75], [168, 202], [93, 127]]; loss = 0.014242 low_pass_filter = 0.370
+Epoch 0: | | 3949/? [41:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.000,train step 3950; scene = ['39f7c76ef42ac1d4', 'aaece70a39dd3257', '17fbb941d129b91f', '00adc59ebcbe00f7', '3afed25f2ffc4864', 'da794e5b3ff8bd6d', '6c3ca5d5638ee27c', '44fc5677e722caaa', 'adc0361ca9865797', 'fe949482103cc3ff', '8fcdb1d163e2082d', '6cdd423fa03d121a', '5ca6e5592a9360bd', 'b731f727dd51f5ac', '12e062f03f2e1ed5', '75d0af62ff6d8a99']; context = [[91, 125], [119, 155], [72, 101], [8, 37], [18, 54], [39, 72], [67, 103], [75, 106], [46, 77], [17, 46], [9, 39], [25, 56], [66, 94], [93, 125], [74, 107], [88, 120]]; loss = 0.019885 low_pass_filter = 0.370
+Epoch 0: | | 3959/? [41:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 3960; scene = ['de9452d754cf1a63', '5ed84eb32582e007', 'e649e3010fab6d40', 'a2240803a46855d7', 'be615b1f1f845b0e', 'a0cd80f2815b8716', '60ac1c1cfee4c52b', 'a2a821c5b614e96c', '2ac56a8829302097', '0280e393cd4ecd02', '4011c9af6ae24850', '30f5ccb2582ebdd3', '117084f0d6d10590', 'c7dcc2c9ef3df947', '04bea0ff2ea6a71b', '860f23a10b0bc952']; context = [[218, 252], [56, 90], [17, 53], [142, 174], [150, 178], [63, 97], [7, 35], [33, 63], [151, 187], [7, 41], [1, 29], [4, 38], [5, 35], [0, 32], [59, 92], [48, 83]]; loss = 0.012539 low_pass_filter = 0.370
+Epoch 0: | | 3969/? [41:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 3970; scene = ['c65c4f335b912414', '48bfe6a23972602c', 'e99b8e7d2791de5a', '2b823dc43ce3923e', '99e7a4ff1897a94d', '3c5825296fdc2a5f', '7772aec9b0479a5e', 'dcfb0ddcac6008e6', '9cfde553d1782ed4', '693b3955c59a2c61', '6692c7ea8af5d77a', '0cf733dbbb0e017f', '396c24c723894660', '0a8521e239f9f2bb', 'beebb9a181072d4f', 'e793acd1873474a7']; context = [[37, 65], [14, 43], [178, 207], [1, 29], [8, 40], [57, 93], [50, 80], [43, 75], [25, 55], [14, 43], [84, 118], [133, 166], [219, 254], [92, 122], [32, 67], [80, 113]]; loss = 0.014416 low_pass_filter = 0.370
+Epoch 0: | | 3979/? [41:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 3980; scene = ['e5dc977e96e194de', '6c48d4f8e82c11fd', 'e5dc96d4a551f24b', 'b44e76ceadcbe46b', '6534207350c6ba20', '655b92a1e07f28eb', '39ec3b2db75292f9', 'f64532570df27c63', '7d1d5f8c68d8e947', '196346a9ac3789f8', 'faec25d661aebb70', '71becabd789f58ab', '294695369d28f90b', 'a63650c91b0f17f3', '41b0325496a3b8d1', '01d000877ab304af']; context = [[20, 52], [14, 50], [29, 57], [203, 232], [3, 39], [223, 252], [86, 118], [36, 66], [5, 36], [231, 265], [35, 64], [35, 71], [93, 127], [106, 137], [53, 87], [67, 103]]; loss = 0.013840 low_pass_filter = 0.370
+Epoch 0: | | 3989/? [41:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 3990; scene = ['4ff883d15e976b33', '777a625e551c0354', 'fd4972b6ebc2992e', 'b72280023e69660c', '15297e87f90ef80b', '24d937b4695cd100', '1542e2c1f3aa9e8d', '59ae2f224b858800', 'bada3acbfed62d2f', '8f704f54edccd196', '5ab9ad7c30eca83f', '80c759aed9065f8a', 'a9292cfbfc529241', 'd0d6d994dcab7a20', '17302103a2bf22c9', 'e0feeb21d0e40767']; context = [[7, 36], [2, 38], [102, 137], [4, 36], [235, 269], [27, 59], [14, 48], [74, 109], [35, 66], [182, 211], [53, 87], [0, 33], [241, 269], [58, 88], [172, 203], [3, 37]]; loss = 0.015327 low_pass_filter = 0.370
+Epoch 0: | | 3999/? [42:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.000,train step 4000; scene = ['79ac8c1697071605', '371a383238e985a2', 'd81254badee593da', '589e362118b32d25', '41d5e2c76fc98daf', '6102005c6aa4af25', '40dc627bd4ddc389', '06def6f25e4a3107', 'c472581eb9a351cb', 'c21766bd51fed5bc', '01f2f5f1a7ecba68', '333f62c89b529822', 'b7ffe15e4ef99466', '7d5581ffcd23ddc0', 'dad4c7a3ecb07b58', '245dc0d58694df9e']; context = [[29, 57], [1, 30], [47, 81], [101, 135], [118, 151], [23, 54], [76, 104], [36, 64], [58, 88], [33, 69], [37, 65], [28, 60], [29, 63], [31, 59], [6, 39], [54, 84]]; loss = 0.015218 low_pass_filter = 0.370
+Epoch 0: | | 4000/? [42:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.000,validation step 4000; scene = ['647f2049bf4cb3f3']; context = [[27, 63]]
+Epoch 0: | | 4009/? [42:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.000,train step 4010; scene = ['9b4023216c7798bd', 'f729fcce20f5e06f', 'c92ef5fbc5fa1ba2', 'b8d7dad69da49e51', '62e2c4c0f76a53e8', 'd27aedac17239369', '196e7292497fe4a3', 'cc7dcffc9cba38a8', '26478c3488603e09', 'de2eb4f6f8635fff', '02a9f1d0c440516c', 'e5acb4c6ebf8af27', '7892b4646d9fb8dc', 'c0fdf893a51202f2', '68231892fb47b4cf', '6805ee5eedb9a085']; context = [[9, 42], [53, 88], [53, 89], [60, 88], [116, 149], [22, 54], [170, 201], [68, 99], [207, 237], [76, 104], [192, 228], [60, 89], [207, 237], [176, 204], [25, 60], [48, 80]]; loss = 0.016142 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 4019/? [42:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 4020; scene = ['ac11dd4ec6470f05', '06abec1654571d74', '9afe61a930b51749', 'af0016aa6c9febbb', '7a9f8d4700e7378e', '114d1d0b142f87c0', 'e7226887509e2804', '6b0df114b4ee6f0d', '0f4a9d91c1fdff3b', 'ff003daa3ae2727a', '7c50e9a254e3b2c7', '2926237312756de5', '5c8f26e5bd5b69d9', 'd68d24b431277be9', 'c5b464f6f616db88', 'd88b4b2fe304e141']; context = [[0, 28], [159, 188], [19, 52], [22, 55], [17, 49], [6, 41], [7, 35], [156, 191], [25, 55], [1, 32], [143, 174], [167, 202], [60, 94], [1, 31], [12, 42], [60, 95]]; loss = 0.015269 low_pass_filter = 0.300
+Epoch 0: | | 4029/? [42:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.000,train step 4030; scene = ['4d9a7d247630db3d', '4bdf1d786c5b1e8d', '018e7d43f8ef9d06', '6050e2ba7733cf5c', '50cf66a7122f2855', 'cceab800023488f3', 'ce741ab39addbd9c', 'e175be14e93ba0b1', '2e40ec3daa844279', '978d853d57c2f68a', '91374736b0e8c0c4', 'c980afa10ed6a8e9', '2a0f5dba69d0f0e2', '01df3fff1e49799c', 'b01124860ef4a2d0', 'd719095ac6054c66']; context = [[29, 65], [3, 39], [12, 47], [8, 36], [26, 56], [38, 69], [19, 52], [178, 209], [136, 168], [26, 55], [169, 198], [25, 57], [4, 34], [6, 35], [116, 149], [13, 44]]; loss = 0.019065 low_pass_filter = 0.300
+Epoch 0: | | 4039/? [42:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 4040; scene = ['0621c7675fab1418', '4c31991f6f26fce0', 'b3356e816a130b87', '53cf2cc7b652652e', 'b281bf93286a0573', '89b5ec9b0cdd9abf', 'fa632bf50b38bae8', '07a25af6fa4f67f1', '4f0c1a9e6bd18647', 'c3c48d331c6f4731', '53d4a63245e810d5', 'd379fb508d17b71d', 'd83f2d1ffd5fd125', '51ed133e2971cb60', 'ac0d3cc7eb377837', '56f24fbba4208308']; context = [[69, 102], [15, 43], [56, 92], [30, 66], [202, 232], [34, 63], [36, 67], [143, 178], [56, 86], [164, 194], [71, 102], [20, 53], [41, 71], [48, 78], [49, 80], [4, 39]]; loss = 0.016843 low_pass_filter = 0.300
+Epoch 0: | | 4049/? [42:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 4050; scene = ['661012e841d77a60', 'd5415ea8c79b23bc', 'e33342f08e052378', '698495499f8fdafc', 'e2970558f4892f7a', 'd0c0d5fc515e76ae', '471a35c1cd5a8179', '2d65c93575c6a883', '0aa601b42a2b5dd0', '7c621648d0d07a65', '01e5207480d75225', '8b95bfe3e8140690', '816112a90ba0035b', '1af025e81b64e0dd', '23630214eee70195', '56f89de5fca4a8bd']; context = [[20, 56], [8, 36], [78, 114], [29, 57], [110, 144], [11, 44], [15, 49], [35, 63], [33, 69], [9, 41], [61, 92], [2, 36], [24, 54], [134, 165], [52, 82], [99, 133]]; loss = 0.017480 low_pass_filter = 0.300
+Epoch 0: | | 4059/? [42:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 4060; scene = ['27060266cbd84384', 'c48400351c7b11df', 'b2db9653071d45e0', '9cb7498b7af59492', 'eb839322cd90391d', '18dedb90ea5f4869', '9b482a814f0a5481', '8d24e45a0fb34cd5', '0865ab5087227a74', 'f45afc69c757f740', 'aaa1ef2a365d7781', '522da2a710ac5837', '3fcab25b002c8d8a', '755be52fe347b481', '262ca049a6cd4ded', '88e7d46c7325e541']; context = [[9, 41], [86, 114], [95, 129], [209, 245], [89, 124], [59, 88], [69, 99], [103, 134], [0, 30], [27, 58], [153, 187], [17, 53], [20, 49], [13, 46], [13, 45], [145, 181]]; loss = 0.014550 low_pass_filter = 0.300
+Epoch 0: | | 4069/? [42:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 4070; scene = ['ff013f8bcc9f80fa', 'd0e701163b3237c4', '669a178ba2796066', '2e2f1ccf62989277', '186236edb339f199', '6738f8412043189a', 'd1971fe0b38b52bd', '9fdeb0d1eeb78a3e', 'ea8dd7144f70a1b0', 'd084bcb064ea2f55', '7300487828343217', 'a490e682ff266afe', '30191495233db79a', '8caccc97dbc76d19', '274eaf2e87c03ced', 'b41f4db8b8a42a71']; context = [[41, 71], [37, 73], [92, 128], [199, 230], [30, 61], [55, 85], [24, 54], [12, 48], [14, 50], [16, 46], [0, 30], [232, 264], [19, 49], [9, 42], [29, 61], [17, 53]]; loss = 0.017810 low_pass_filter = 0.300
+Epoch 0: | | 4079/? [42:57<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.000,train step 4080; scene = ['dcd8192614eb6df6', '87e8e5c856fde9a2', '419e7c09988d876e', '349c55fa8908d0bd', '4e3ca922416c2dcd', '757f1088d03ebd8a', '73d33bf6d4233284', 'a04c6af8ffb89955', '20c0caa90d9b9e55', '564e26b48dc77930', 'aa51f4ca3ef1791d', '8c94bdd2b798e17d', '75ae63a846122094', '7db24579515c9c03', 'aadbd867f9b14e0e', '174b9b8d56204204']; context = [[27, 55], [1, 30], [108, 141], [27, 55], [70, 101], [15, 48], [1, 33], [236, 267], [53, 83], [69, 100], [34, 68], [68, 102], [20, 49], [68, 100], [28, 58], [128, 156]]; loss = 0.018929 low_pass_filter = 0.300
+Epoch 0: | | 4089/? [43:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 4090; scene = ['c0f577534b342324', 'd5065ab056db1de1', '5d54686ded433477', 'dcebdfce0a2e58ce', '2c4d908d5e4461a7', '1db027885e90c8dd', 'dff2e156c7f4a1a6', 'cb5724b7a444ffda', '3d558b33e360e107', '996c2ee081cda2d2', '7badba95b5be610e', '2a43ee2f245c1337', '17a222a4d296d309', '0476107845eb67e9', '042e949b55e0c306', 'a97842b559fa0582']; context = [[116, 144], [43, 74], [2, 36], [19, 47], [64, 93], [90, 119], [64, 95], [11, 41], [24, 52], [133, 164], [50, 80], [50, 82], [85, 121], [67, 100], [50, 80], [50, 83]]; loss = 0.014007 low_pass_filter = 0.300
+Epoch 0: | | 4099/? [43:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 4100; scene = ['313d67b805705572', 'bf1b3df661689e32', 'de85f42958581743', '217c6e278b7b4b91', '96c6e2db1b6b3961', 'e2f199d364a2dd73', '6fc575ee0d5ba914', 'c6252c821a5310db', '0167c4f60f8d3edb', '03575bf8316084e9', '07bc9cea7e787460', '0a5d9bd1a512c498', '39e99101dae5b664', '6d7f4f81f1ac5752', '800644647f0bb313', 'f08b650e63b795f0']; context = [[5, 35], [39, 74], [8, 36], [7, 40], [23, 56], [83, 118], [4, 32], [15, 43], [5, 38], [14, 43], [14, 45], [114, 148], [45, 78], [68, 104], [66, 94], [8, 42]]; loss = 0.014164 low_pass_filter = 0.300
+Epoch 0: | | 4109/? [43:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 4110; scene = ['3169a93d40545f53', '5190e7583e7c034a', 'd0c197a8436159be', 'f22018a91c0e4afe', 'f6751290bd44926a', '9ce18e551df6c324', 'f45c0dfe6693c28f', '99e4757b3ec84a1d', '4b9edc4850de7838', 'af1459f48e74c6db', '4581b41b8a316a2d', '389b5b722545a8db', 'ae9a02f023b0300d', 'fbf25b46df1d4edf', 'b8636f55127f4eba', '9d2cc67ce64e4e2c']; context = [[16, 44], [135, 165], [10, 38], [153, 184], [42, 74], [23, 55], [36, 65], [14, 47], [1, 30], [5, 39], [105, 138], [153, 185], [1, 30], [1, 37], [123, 156], [16, 51]]; loss = 0.014749 low_pass_filter = 0.300
+Epoch 0: | | 4119/? [43:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 4120; scene = ['7c9634a43560b70f', '86db5362c760a2a6', '1bb12c2db06bec2c', '127af838fdc60b01', 'f377fc09af0370f3', 'ad2af8c9cb425ed9', '1a5a8ce59f4c2e5b', '694ab77e41cc7d03', '657a10aa562aa304', '2538a2039264fc12', '34423c7793827555', '230f905254c878cc', 'ee0266335223c5e1', 'ef77680ca70113a3', '113b44460ee86898', '370afce22c2aa02e']; context = [[53, 82], [23, 56], [23, 54], [5, 34], [226, 259], [95, 128], [6, 40], [152, 188], [66, 94], [94, 123], [18, 48], [29, 64], [114, 148], [12, 46], [22, 51], [30, 61]]; loss = 0.013469 low_pass_filter = 0.300
+Epoch 0: | | 4129/? [43:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 4130; scene = ['41c244d2220305cc', '38843476b90d06fe', 'd15194c473c5f537', 'b3656beda36e21c6', 'e1cbdf748a4b04eb', '3abf5b7e7cca3e26', 'ccfb0dfd6611337a', 'c3858f544a9d90df', 'f884bf6ffaca45c8', '5b52ca5def21e510', 'a465151bd2583e99', 'c6c328242b50ef3e', '8b0e1ec9461d30b9', '74eff3929ebfe458', '798da4ff7d385286', 'da04a234b5ece116']; context = [[59, 89], [2, 38], [3, 35], [31, 62], [0, 29], [8, 42], [29, 59], [60, 90], [7, 38], [3, 31], [0, 30], [77, 105], [232, 265], [80, 116], [49, 81], [1, 30]]; loss = 0.011522 low_pass_filter = 0.300
+Epoch 0: | | 4139/? [43:34<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 4140; scene = ['9cab7acb31f8c01b', '7dc17d33bc5e889c', '278af36722395494', '1117a1d1fbebe6a6', '129486d2d0f4ebe1', '448107015c3d0b00', '0172e6a29a2f00e2', 'c9661d73cba46fbb', 'd3e19b0747269427', '3b601d4d89307614', '6a13585caa18b99d', '8468c4228e3215ed', 'ffef52d59b658cc5', '6f59c79a4b6cf619', '540656c16216364d', '76bedcb696ccbc7a']; context = [[107, 142], [77, 107], [163, 192], [70, 105], [51, 83], [56, 87], [65, 99], [2, 34], [64, 95], [90, 124], [56, 90], [25, 60], [28, 63], [0, 28], [78, 106], [13, 45]]; loss = 0.018709 low_pass_filter = 0.300
+Epoch 0: | | 4149/? [43:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 4150; scene = ['d814de9932daf6b5', '75cb48e0b83d8bed', '3bc380de39e58a1a', 'f7c3d08dd52d4a38', '5b6b042c67c8a0e5', 'c0ad727566fca461', 'f9f3a3ba97b060f7', 'f252c7a1a233426f', '17a9e0f6c76399cd', '2356542add5caaca', 'be217288d1a31a68', '9b2102fd216349cd', 'ec839c8f84f9efe4', 'edb290012640c9ee', 'a56be8f25456bc3b', '9b179057f25ce239']; context = [[15, 47], [52, 84], [4, 32], [76, 110], [97, 131], [66, 98], [36, 67], [33, 61], [30, 60], [49, 78], [39, 73], [156, 185], [31, 62], [51, 80], [15, 48], [50, 78]]; loss = 0.017254 low_pass_filter = 0.300
+Epoch 0: | | 4159/? [43:46<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 4160; scene = ['73ea7bf916d4cf54', 'af341801d7396214', 'bd1365b08ac111c9', '15b1b5f770c5a68d', '1971c9e877bd61a7', 'cce19f034d7e4c4d', 'e398b6b9b1e85cfa', 'e384be9c2c62cf97', 'ad041efb80fd1e04', 'cab8dd14f2f78abf', 'a29879173eef0f0b', '935620b6d95b7e07', '06402de34cae0625', 'b117f9d8522f755b', '7f1b737c232c590c', 'ad39d398112412b7']; context = [[0, 33], [14, 48], [14, 46], [113, 149], [23, 56], [45, 74], [60, 91], [30, 66], [83, 115], [31, 63], [102, 131], [18, 52], [6, 34], [6, 36], [57, 87], [107, 136]]; loss = 0.019802 low_pass_filter = 0.300
+Epoch 0: | | 4169/? [43:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.000,train step 4170; scene = ['0a4fd25e497e454a', '4ec21b3df4931e7c', '15f15336f1ea584f', 'd58601f62cc5e1d1', '0e0fc78c17784636', '7894112a97be7c1a', 'a679ed057b018385', '58dadf996a8bbaa5', '4a17fadb96b7c057', 'ce657598691d583d', 'cf3fe357ad8ba247', '293427f95fdca384', 'c63219b72979f85e', '40f0adf015542ac4', '72eb2027396a78a5', '9e1d6f2502c05044']; context = [[16, 45], [65, 94], [62, 90], [1, 36], [71, 101], [29, 60], [98, 132], [1, 34], [18, 54], [12, 41], [44, 76], [63, 93], [5, 37], [8, 39], [234, 269], [50, 83]]; loss = 0.013508 low_pass_filter = 0.300
+Epoch 0: | | 4179/? [43:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 4180; scene = ['b29d52ebccddf773', '3dbb1d21f0d5f6cc', '32051586815eca31', 'd765975fd4b393d3', 'b5c62da46356dc70', 'd00bf9c20463c925', 'a325c0cc4fb65e6b', '48f49dba0baa7b03', '1fcec6a56e64b810', 'fdc131eac4278a97', '919df00389b110e1', 'a9faa738331d806e', '7fe65d8519bb2047', '44ab217edc1856c3', '34cec7098701f9bf', 'cac4ea27a99594e4']; context = [[33, 67], [59, 87], [218, 252], [3, 36], [152, 185], [6, 37], [3, 31], [79, 109], [67, 101], [129, 159], [10, 46], [29, 62], [235, 269], [32, 67], [11, 46], [55, 89]]; loss = 0.015572 low_pass_filter = 0.300
+Epoch 0: | | 4189/? [44:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 4190; scene = ['fc5c4244dd42b9c2', 'cf784e584d2d33da', '8663906248d346cb', '362c5a55ee5877b3', '5e85ac5196dc2aab', '196f22e8a9814fa5', '2d3889504214a739', 'fd6c49a5509e066f', '3d83d2d0323c3aa7', '64057e606626c033', '494fa216992cf7f5', 'e9b957cd7913a11b', '5ff2a11b44e04f20', '7a8567f45e05ad57', 'eba3eac70a8adcb8', '60d988ddbc2d04f1']; context = [[23, 52], [9, 42], [120, 155], [172, 207], [51, 80], [10, 47], [45, 78], [53, 86], [232, 264], [158, 189], [16, 52], [33, 61], [145, 180], [90, 120], [2, 34], [52, 87]]; loss = 0.014739 low_pass_filter = 0.300
+Epoch 0: | | 4199/? [44:11<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 4200; scene = ['fa7236017c73627d', '412a23db7d841386', '0c19e54f2f616ec7', '6ca6dc6c2deea07e', 'a9bf0c42f14c8e5b', '1aba0d64c90adb46', '8fde54714a0b6a60', '517af5c535add918', 'e05d4aef41dc0ed2', 'a411da0cb83db31e', '03972e52d77a20b6', '1cde7127113c829b', 'f62b9920cad56e8d', 'b88ef9cd69018875', 'ffb1d4e9451f6179', '50257f2e2bc5875b']; context = [[24, 55], [67, 95], [34, 66], [43, 79], [17, 45], [30, 58], [24, 53], [9, 45], [9, 45], [92, 123], [69, 101], [2, 36], [16, 48], [49, 79], [62, 95], [0, 34]]; loss = 0.014874 low_pass_filter = 0.300
+Epoch 0: | | 4209/? [44:17<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 4210; scene = ['47c9a3f589559b0d', '3eb88834d1d10dbd', 'd928ee1aa1bf62f3', '954085ee1bd41d21', 'f870cac9be2d72ea', 'c4dcd6a5b2da28b2', '333819a55992b14d', '3695468b2f5abca0', '1b046ac48aff103f', '91e35e7d77764a38', 'ee7e466e2abafbd8', '05edd0204e085deb', '0c4a1ffd5058289a', 'db1d1354696012b9', '6743150e9200508a', '70c502d0b9e6f1bf']; context = [[10, 39], [6, 38], [86, 121], [40, 75], [194, 231], [7, 37], [1, 33], [84, 115], [5, 40], [155, 184], [14, 45], [78, 113], [178, 207], [3, 38], [51, 79], [27, 56]]; loss = 0.016642 low_pass_filter = 0.300
+Epoch 0: | | 4219/? [44:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 4220; scene = ['c6175453d0559407', 'f9d4d09bb92dac5f', 'b74a633bb102c61b', '8984eb818bfe4b6a', 'c17627bc5ae95e76', 'c7c6afa266a7c768', '4e556f3909fe705e', '510bdf03a5bf6caa', '79ee468c78225a70', '0e4be95a7a352b3e', 'f568575556f00f91', '668a991c53434075', 'da656fc4be49446d', 'da57af6d2294f253', '9abeec140e78dac2', '640d78a72db813c5']; context = [[27, 61], [13, 50], [10, 39], [185, 222], [103, 133], [7, 38], [23, 55], [51, 83], [5, 41], [109, 144], [19, 51], [168, 199], [33, 65], [9, 38], [31, 67], [10, 47]]; loss = 0.015900 low_pass_filter = 0.300
+Epoch 0: | | 4229/? [44:30<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 4230; scene = ['66ed8d9f52f04621', 'bca3877f59d640fb', '843123f12528ab48', '7344b60cf3fa66e7', 'b8a80edf40b751c1', '4826d275eb627be6', 'df3d1461d3c6f026', '49dc1df9df8763a3', '21189d88aa694a15', '2396cd34c407ff77', 'd543eac79076fd7d', 'b16ac525d58bb9f4', '037d5bb2efbee4cb', 'f9890924ad99a82f', 'f09b84993341b1bf', '23683c24eb019816']; context = [[16, 48], [141, 170], [122, 154], [65, 96], [8, 44], [3, 32], [38, 75], [37, 66], [49, 81], [220, 248], [205, 236], [114, 148], [46, 79], [15, 47], [93, 124], [0, 29]]; loss = 0.011885 low_pass_filter = 0.300
+Epoch 0: | | 4239/? [44:36<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.000,train step 4240; scene = ['1b8140d406d557a7', 'bb7e7bc809e2d50d', 'f69cf3d96e7cf8f8', '4439e4423360c42c', '990630bf33370daa', 'ca94213a7a4eeafb', '4c5a444d7aaddc73', '5ac1aa75a63625ea', '30800cbca5fe1e8e', '3f16b9bc98aa0bef', 'e194ab615ff6780a', '4b6a5e64589eac64', 'e6102d6bc6190b76', 'ed56515c6c9331bf', '88160304638cc7b3', 'd41ac9d42f8da42d']; context = [[0, 30], [50, 78], [26, 55], [84, 119], [13, 42], [116, 144], [68, 98], [22, 58], [196, 231], [149, 184], [229, 261], [126, 162], [51, 79], [6, 35], [21, 49], [20, 56]]; loss = 0.013340 low_pass_filter = 0.300
+Epoch 0: | | 4249/? [44:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 4250; scene = ['b9fcfce6eb7f9f01', 'ddda5b9b27235816', 'aa13dc482af1ef23', '76f1441716f1db7d', '4b081e386dc80130', 'ffe6287f703a9087', '7390d39ad1d8860e', '669931fb3be86a5a', 'a3603600a29b4184', 'f5389cf7168ab81c', 'f6a6729072b2b2d1', 'f5864b8687706513', '1fb84b400b0eeffe', '6030f480148fe616', 'c23b2d4d5e14e6cb', '040875f6c7c6e57d']; context = [[71, 108], [27, 59], [40, 68], [91, 128], [34, 70], [71, 101], [19, 52], [0, 35], [3, 35], [153, 181], [2, 32], [12, 40], [9, 38], [43, 78], [2, 30], [28, 65]]; loss = 0.011871 low_pass_filter = 0.300
+Epoch 0: | | 4259/? [44:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 4260; scene = ['64771c07a2b5b222', 'bd60dd411034a330', '1523ebad4743e050', '0a84e7f52f375aec', 'a3c823619eced48e', '2f20605bea9eaa86', 'b24872c1e1799242', '4a60d56fc171fae8', '771b0509f7a5effd', '4fa6193d6c4a7a33', 'eaa05e17022ae6a4', '6cf2b121b6eab09e', '72fe17fddf456267', '18089952e3a38f64', 'e3f5ec15ba54a781', '4f584c95a2be7130']; context = [[108, 139], [21, 51], [5, 41], [1, 31], [79, 109], [206, 235], [1, 29], [44, 74], [0, 30], [26, 59], [42, 70], [18, 48], [12, 40], [51, 81], [18, 50], [18, 47]]; loss = 0.013178 low_pass_filter = 0.300
+Epoch 0: | | 4269/? [44:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 4270; scene = ['4e66521b32a6fd82', 'b7aab68953b46e64', 'eb09cd7e9ffbe950', 'e9e69d643ef7765f', 'c92d3baa79f78d32', '9f3a66dc64d7fdc9', '95c06eb39cbc2f89', 'c3db550fbcb1f2b1', '162bcb36d182892e', 'c5202610b421304f', '4ca08ed9abd6d4e8', 'f792272e396d1964', '06a891389b1fb8c5', '51f33cc6d9666bb2', '2aaf84176521c42f', 'aa97744d1ed6c13b']; context = [[1, 37], [7, 35], [11, 41], [1, 32], [15, 44], [49, 79], [7, 35], [31, 64], [32, 62], [28, 56], [25, 61], [19, 48], [8, 41], [14, 48], [9, 46], [36, 71]]; loss = 0.012618 low_pass_filter = 0.300
+Epoch 0: | | 4279/? [45:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 4280; scene = ['68a4fe5d83bcaa60', 'aa184ccff3e3dc0a', '551fb8535c0aa256', '015ca2f115af3dde', '504f84dcd4f6fd4c', '93b6278cf013b714', '0f3a74f2d2eeb583', 'aceec8149ba6e75c', '54a791c692d770ec', '85ca66628c3b583c', '917ab9849d0d6a8d', '1613fefaad02972b', '56a9d7a35cdf2274', 'bcca779045d62e67', '0ed772aee274d4e7', 'ab4c74b2751a2306']; context = [[25, 54], [108, 136], [68, 99], [38, 73], [215, 250], [29, 59], [0, 31], [7, 38], [4, 41], [2, 30], [46, 76], [8, 45], [2, 35], [72, 105], [22, 53], [26, 57]]; loss = 0.012355 low_pass_filter = 0.300
+Epoch 0: | | 4289/? [45:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 4290; scene = ['8b2bf11577311956', 'cc03b1ecf793befd', '8a0a93588ccdfbd3', '7b95b1f65f0d8687', 'd9d8890660debcb6', '79590833b9df5558', '8e9d9dc15b1707b0', '0300f87d2ff368b2', 'fdac21a86c2a1ef3', '0a0271d981ead75b', '5064ce9e88bb3f39', 'fb7276f92ad63407', 'd3711836cd0fac50', '4f3e8718190c20dc', '489cdd787b754e4b', 'bc500f01a9368065']; context = [[0, 28], [20, 49], [139, 175], [132, 161], [0, 32], [5, 42], [24, 54], [25, 62], [72, 100], [189, 224], [21, 58], [107, 135], [11, 44], [26, 55], [1, 32], [58, 95]]; loss = 0.016098 low_pass_filter = 0.300
+Epoch 0: | | 4299/? [45:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 4300; scene = ['144913b1e5d43257', 'bbcc18ce68c1bcf2', '8e3dfce25f2d216a', 'eb07f2be65cd3ef9', 'f4e703d23e3cd7b1', 'cffffa4c0548a72d', 'c819caafc76c9cfc', 'c40d15d6fffefbc7', '292b3b21ca24a79d', 'ade30db949097860', '521f8d6c129a7932', '9deddb62800639d8', '50a652406775f17b', 'c4daef951d450aef', 'c8547c77ba402e10', 'fe759d52e38b706b']; context = [[84, 116], [207, 244], [208, 238], [7, 44], [58, 89], [135, 170], [9, 38], [130, 167], [18, 52], [147, 184], [24, 54], [61, 89], [67, 100], [131, 167], [15, 51], [42, 77]]; loss = 0.015675 low_pass_filter = 0.300
+Epoch 0: | | 4309/? [45:20<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 4310; scene = ['3806cc2e286a8592', '0611543dfbc64bc2', 'bed32aee0050abd0', 'c78a86f98b10dc29', '3fb230c591c1ba92', '042c8ee300f52641', 'b42eba12a2d472f2', 'a6cd9e57513d0f5b', '0ce3f01ab4230413', 'b1db6db47eb6c3de', 'd3aff83016b5e0f6', 'd91d403fb54cd658', '326e42e7776c50bf', '1549c6877baaa3a3', 'ab835dbe3d68c7b3', '41eee0d73b5ea2be']; context = [[14, 51], [14, 45], [12, 49], [17, 50], [27, 55], [23, 54], [48, 79], [26, 62], [9, 40], [50, 81], [49, 80], [5, 35], [29, 62], [146, 183], [87, 115], [228, 257]]; loss = 0.017498 low_pass_filter = 0.300
+Epoch 0: | | 4319/? [45:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 4320; scene = ['96ce5de416a83b88', 'ad6f19259e566310', '7a9005af7c4d4d0e', '7603f1cd3ec5dca2', '389acd738b77f8db', 'd2e315f42f6ecd10', '10d244f532805eac', '414c7fb7f1706a59', 'd9f72e442caa6395', '0ca83596a694293b', '0e026a7b7626df9c', '8c53c8ead708f5c2', '212b7aaaf7ca61b8', 'c05bed67f6eadcce', '708867eb6c48051e', 'c872337ba8bfe518']; context = [[3, 36], [182, 211], [26, 55], [16, 47], [167, 195], [112, 146], [4, 32], [64, 93], [156, 193], [133, 167], [221, 257], [48, 84], [19, 52], [0, 29], [56, 84], [21, 50]]; loss = 0.013754 low_pass_filter = 0.300
+Epoch 0: | | 4329/? [45:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 4330; scene = ['56c4bb0072ff2d07', '4ab2f39dd49c4504', 'fbe4178be70f09de', '3e3bdee0d09a1df6', '9b8bb08ccaeeb8f3', '0c95664d34705102', '4fdc641d03ea4cfc', '5edf1a4936d1e3cc', '5951af157af185d3', 'da137a620bd5e31e', 'ee1b42096b7e9290', 'b0be2931a2325f87', '195686413a5db857', '4c495f62172cfc2d', '0d4ed42902b5c3b9', '87a3fc01a8481b01']; context = [[128, 158], [5, 37], [28, 58], [69, 97], [46, 82], [37, 70], [151, 179], [54, 88], [29, 58], [68, 99], [28, 62], [15, 46], [18, 49], [97, 134], [174, 205], [4, 38]]; loss = 0.015433 low_pass_filter = 0.300
+Epoch 0: | | 4339/? [45:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 4340; scene = ['e258e863df25ba2c', '0ff9bf7b8f816f21', '2f19a454ec1f7a71', '5578bed0fb36c89c', 'd2a261ff1f2f061c', '16e92460b0a30c1d', '405e78c705fa28fe', 'f760f01e89c53799', '1fd3d6918b5f5e32', '28c9e70c95461472', 'e82f04c31c257d70', '87a8b7a70aad40bf', '2512655496873dd9', '92c7ddb9ed43a0b5', '524e4f274caa5dcc', '9bea5d613a0649ef']; context = [[77, 114], [7, 43], [27, 64], [39, 69], [112, 147], [109, 145], [0, 32], [29, 57], [96, 125], [8, 37], [76, 108], [66, 100], [241, 276], [28, 65], [8, 43], [219, 251]]; loss = 0.016772 low_pass_filter = 0.300
+Epoch 0: | | 4349/? [45:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 4350; scene = ['d347f976ced5d74c', 'a943ba6f8905b420', '3f1ba6d26920ff8e', '64082c7dc15fa79d', '738b9984c41a174e', 'b9145d57be555d21', '74411b139d83a461', '3e53273804a1b9db', '1d808d00657a8147', 'f78cf47fe70673cf', '366ae2b065afdfc8', 'b68da6541d97312c', '3706e43acaa67c66', 'e33681181c5c641a', '5fd65e732d4ea408', '32cefdbe0671381b']; context = [[45, 74], [36, 70], [99, 128], [50, 86], [48, 80], [95, 128], [52, 85], [14, 47], [34, 63], [152, 181], [95, 126], [46, 75], [56, 88], [9, 45], [9, 39], [131, 166]]; loss = 0.016396 low_pass_filter = 0.300
+Epoch 0: | | 4359/? [45:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 4360; scene = ['084d516d1d8aed07', '6535abc5fdb5b232', '03489f334856d47a', '959dd47373e8175f', '33b094a2689a86a7', '6588226fc3f5e56c', '360a1eb8acf3065c', 'e7ca13cc84adffeb', '137a957417e31f23', 'ea2ed51db380ef87', '418a9c10a5c2542f', '1fa21f92277aa22b', 'dfe61526cdb54b4e', 'a409fccc9703df36', '99c6206107d8beed', 'b533f95d102e89b3']; context = [[49, 85], [10, 47], [38, 75], [18, 55], [3, 39], [35, 66], [117, 151], [0, 35], [31, 60], [91, 121], [38, 68], [10, 46], [30, 65], [125, 162], [48, 81], [79, 113]]; loss = 0.014844 low_pass_filter = 0.300
+Epoch 0: | | 4369/? [45:57<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 4370; scene = ['e1d6178ea1fe6d44', '4fce6c47c4c214d6', '1b98355278b3ca52', '28bb7b161e83ed60', '1c697e1b376ee31e', '1008647325f7f5b5', 'eb61796d301ac994', '98b8e9f58887b2c8', '9029d8d8f6f0e98a', '2f955de5084c0ee5', 'bd006cf0a751d205', '8b12ac02ddbe40cb', '8481bc2172478625', '4f354a704f70f53b', '201e44ad015728c7', '4d48befa72535f0a']; context = [[10, 40], [201, 232], [24, 52], [47, 78], [100, 131], [31, 65], [50, 83], [96, 129], [16, 52], [13, 45], [22, 52], [20, 53], [7, 41], [18, 50], [24, 52], [97, 128]]; loss = 0.017214 low_pass_filter = 0.300
+Epoch 0: | | 4379/? [46:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 4380; scene = ['38ce8373de250943', '366c23d4d72ed2c4', '78473962153fefe5', 'f05f3bdd37e006de', '6c6ece22d9698576', '14c7e3cd8489c8c5', '04b1b1907a571739', '766a9f7c71d87d44', 'ddba8b26d038c9bd', '525d30c4bae5ddeb', '5e0539538d66bbc1', '8cd39b3cd14c6411', 'e5843b53d5d73177', 'c663eca13c6fabb1', '41f86e86aed4d978', '8cb7643bb7bf41ae']; context = [[26, 63], [16, 51], [6, 34], [22, 56], [17, 53], [37, 65], [89, 119], [46, 79], [40, 70], [2, 39], [11, 40], [31, 67], [3, 34], [5, 38], [46, 78], [1, 33]]; loss = 0.015301 low_pass_filter = 0.300
+Epoch 0: | | 4389/? [46:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 4390; scene = ['f385a771c6738937', 'c391c8fad43fdc03', '7d2b086b7bfb58af', '949526d500c2d32e', '1fe612f2c515ebc4', '52ce0cbf5e3aa419', '0b3eedee850521a5', '2cb1e68856e68640', '76b29d13a1a25fe4', '4b8a415797125131', '4dc9a7f436afff6b', '9fd2226f90eab8cf', '321e71b0fa3a7743', '131274431c5360f8', '0e3b889ab8eedb57', '1b6880636741a46a']; context = [[1, 38], [12, 44], [140, 175], [114, 147], [11, 46], [24, 56], [96, 127], [19, 51], [3, 32], [44, 79], [200, 229], [14, 46], [63, 97], [113, 147], [35, 69], [0, 37]]; loss = 0.016148 low_pass_filter = 0.300
+Epoch 0: | | 4399/? [46:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 4400; scene = ['e3274a8a3c3d0d6e', '52cd978541f17426', '7e51438e8d6feedc', 'd9aad93b7c670519', 'f53ba88600fc1d74', 'fda6de02b80cf549', '6d1a20198b4c03bb', '2e397e7dedf39ea1', '57274cc3fac11cbd', 'd275f137216cb684', '41320ad766f5ee64', '1b2a331419e7e43d', '081a0b0ff7cadc99', '7b90888923feb2d2', '702e3924eb797e62', '197ff5c7287f0d9b']; context = [[90, 118], [33, 70], [68, 99], [13, 46], [58, 91], [26, 61], [0, 33], [26, 61], [30, 61], [24, 59], [102, 136], [39, 68], [117, 153], [41, 74], [60, 91], [135, 170]]; loss = 0.016541 low_pass_filter = 0.300
+Epoch 0: | | 4409/? [46:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000,train step 4410; scene = ['556108665fc7b970', 'f73db02fdfe72073', 'e97b09a6783c26ce', '0095b1bb592abf6e', '2d212482d640ed4c', '635af1b06fef3489', '170c909cf2cb0451', '4d42ef3a4fa7abca', 'eb2b6994b8429b1c', '2f0d06790d3cea22', '98423bd01d9b93cd', 'eaea282b972b7c4d', 'a5cac737e0512539', 'c276dd0bc8bfed23', '50bfdfe67991a31a', '240a93f401f2608c']; context = [[124, 154], [24, 52], [120, 148], [35, 68], [124, 155], [44, 78], [84, 119], [13, 44], [22, 52], [95, 130], [32, 60], [13, 42], [10, 47], [2, 39], [22, 51], [175, 206]]; loss = 0.014464 low_pass_filter = 0.300
+Epoch 0: | | 4419/? [46:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 4420; scene = ['1814f984bb155fa0', 'ba4bbee5849a86d5', '2e85efc8084d5ca8', '2d448f1fda854cb5', 'a70416aac11a6d6a', '130a43d1e4a843c3', '7bec1fe1236ba09c', '194edfe4d1ff6a91', 'afb49fff655d5043', '41fc543887cf0d4f', '8f2f6565dfca4b84', '428a4b27af25d65a', '90b386235765d7e1', '422be740e4324b2f', '439c25e856dd9a75', '9d73ce3d387b1c91']; context = [[8, 44], [9, 38], [32, 62], [0, 28], [15, 44], [6, 42], [47, 83], [5, 33], [88, 125], [123, 152], [36, 64], [104, 135], [110, 138], [46, 83], [0, 29], [43, 72]]; loss = 0.013977 low_pass_filter = 0.300
+Epoch 0: | | 4429/? [46:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 4430; scene = ['9e7067bb22c05e1c', '46b601b2cd66dc44', 'ce18576673ebaf58', 'fc98a128fa918536', 'cf7f208150f3cc43', 'ed812d61801c31d8', 'dd0858e9a430e078', 'bfdb137e49125650', '706bd006212febf1', '3edb0e0b6f23e2d1', 'c7cf36f908a95dc4', 'ffebb154fc9f1677', '4d16f41f639f160f', '58e0d91e09eef182', '4cf0fa5d266f1c55', '4ef41b9f7bdd6f2f']; context = [[4, 33], [52, 88], [2, 38], [11, 44], [1, 36], [22, 59], [88, 125], [213, 244], [23, 56], [185, 216], [13, 46], [32, 66], [0, 32], [14, 42], [15, 44], [14, 44]]; loss = 0.014922 low_pass_filter = 0.300
+Epoch 0: | | 4439/? [46:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.000,train step 4440; scene = ['2352dce87a236495', '6c31b1dc128b49d7', '4c167e89c379faed', 'b5dfd6a33604ede4', 'c99ab9b0911f0d72', '46b932fc6f061d63', '0f3d070f4b358f54', 'f824e9aae22d0369', 'c3091f30c6054271', 'd05469e324c0bc42', 'dfd7ac5b3120d4d4', '9d4bb3c6783e57a8', '0935b1ed5367813c', '23c1ccdbb82ee29c', 'db537420efada436', '0b33181143dd3303']; context = [[14, 43], [56, 88], [31, 60], [58, 87], [111, 143], [14, 44], [240, 276], [94, 129], [2, 36], [7, 40], [117, 146], [9, 42], [103, 133], [100, 132], [11, 43], [146, 178]]; loss = 0.013215 low_pass_filter = 0.300
+Epoch 0: | | 4449/? [46:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 4450; scene = ['ae55f82e5c275523', '8234e036ca5e340e', 'e4cf54f3d79d3f47', 'b913ee29a9954d95', 'a02173ec86dae4ba', '45ece01ebfab5852', '537f0b57f895b038', 'bdbd0d543a3901a5', 'f057f5ce14b54044', '4a30eb2a3d6546f5', '8133e02814227215', '2b8c9d0c8013e677', '30c37f6c4677fb23', '9899ad035dd9c665', '91147b6e8047c8c8', '2b141c0433cc5039']; context = [[12, 48], [19, 52], [8, 39], [43, 79], [92, 120], [22, 55], [44, 73], [93, 123], [124, 159], [0, 28], [60, 92], [32, 63], [31, 61], [123, 155], [60, 89], [11, 42]]; loss = 0.014630 low_pass_filter = 0.300
+Epoch 0: | | 4459/? [46:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.000,train step 4460; scene = ['38236f059c0bfc08', 'a13d6561db213baa', '7d143a7b55d767ff', '239ee85d525cc9ec', 'f44d13951c2bd474', '0f7f10a38a970ccc', '1c2a649eebbf909e', 'cc0b9f33d4d1104d', 'e888e5cc7d09557f', '854e67be5e2269ae', 'cd5d7eac3e6a67fb', '00104677f98ca3c9', '660fc47d4cb5662b', '832c5a630af6b768', '62a47e085a693e44', '16a7631f41a026e1']; context = [[32, 60], [52, 82], [222, 256], [9, 45], [14, 46], [36, 65], [71, 101], [7, 38], [199, 234], [151, 188], [59, 93], [40, 75], [216, 248], [49, 79], [94, 124], [72, 107]]; loss = 0.014412 low_pass_filter = 0.300
+Epoch 0: | | 4469/? [46:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.000,train step 4470; scene = ['5ab84da28337a82e', '3101e062e990fb4c', '3d24db7c9cd49075', 'e81379351dfd7263', '02ea4129dd5d7b3d', 'c7429dda9e108a54', '1d6248d4db20fdc3', '26e37e586c020680', '658fd2565c2cd3bc', '7e8e4fc21d873b5f', 'cf977b0362ca2e4b', '1e97fe5dfd5c79a7', 'c9f16c5c526ddbcd', 'c3f48d66e8da8bbc', '02ecb10e9363e210', '591d4ef1fe3a9c81']; context = [[37, 68], [15, 45], [12, 45], [26, 56], [55, 83], [54, 90], [187, 218], [18, 47], [24, 52], [8, 42], [43, 71], [24, 53], [60, 95], [25, 55], [175, 206], [22, 58]]; loss = 0.012579 low_pass_filter = 0.300
+Epoch 0: | | 4479/? [47:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 4480; scene = ['78a813c1cdfa752c', 'e79b8bbf1bdefca4', '970c7058fc9ed14d', '06d7ae344e03de07', '2333e48f8718af8b', '39a56aa5e7a8b4e4', '2f1de0f2c7685312', 'c0a9ec5652b3e326', '5be49d95910cc25e', '6260a548c92d6bb4', 'cb3acd2402264cc5', 'd55fbb3dcd24f08e', '4ef492d655549076', '63f819120b8d8a92', '9917e6845c5c9f1b', '708a56966ca45d6a']; context = [[16, 45], [234, 265], [112, 140], [0, 28], [5, 38], [13, 50], [47, 75], [0, 30], [106, 142], [24, 53], [40, 68], [15, 45], [156, 190], [10, 45], [18, 52], [2, 38]]; loss = 0.018510 low_pass_filter = 0.300
+Epoch 0: | | 4489/? [47:12<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 4490; scene = ['0a2b30f8255c2a93', 'c9266f8b6968ca51', 'e3b385876279e0fc', 'b6d6a1ec65fa5263', '2bc8b64aafc5870c', '4e80959d582914fa', '2578cd7cec8068b4', '30dff4653f5f10fb', '6e1ff4e2f119c767', '10b5f22d56ff42a2', '4431601bb4a394b9', '7071582ccab23b21', 'b8d208cf42b89497', 'f21bb8888fee2637', '10a050faf5a68ca2', 'c0996cd3efd06291']; context = [[5, 36], [9, 40], [70, 106], [4, 34], [109, 144], [35, 70], [94, 124], [15, 49], [156, 187], [12, 49], [57, 89], [61, 89], [94, 124], [14, 47], [1, 36], [29, 60]]; loss = 0.017104 low_pass_filter = 0.300
+Epoch 0: | | 4499/? [47:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 4500; scene = ['43c617b1ffaffd39', '7c94ad911e2fd023', 'f4286518f13f9e65', '0f9cdd2b4896adee', '7e33bb2341a764c8', '67244928d64036d0', 'c6c6e42b867160a3', 'e76f29cb4a9421ed', '5a4291ddb11a24e8', 'f16926351498b37b', 'f8c397088d14b26e', '71158ce6e52f006e', '654bf5d9ea7c6074', '8a6de3060d69e024', '5e33cda6da0fe7a6', '5d670c58f45b4c1e']; context = [[22, 59], [41, 77], [118, 154], [34, 62], [154, 185], [4, 38], [31, 68], [5, 42], [31, 62], [48, 78], [44, 75], [19, 50], [57, 85], [57, 93], [96, 128], [24, 52]]; loss = 0.014079 low_pass_filter = 0.300
+Epoch 0: | | 4509/? [47:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 4510; scene = ['a5989d5f9f66c05e', '08995d12c844a39e', 'd68c8852175c0721', 'ad2e98d672dde0e8', '54cee7146da8c7ac', '34573dc20956ef12', '738d78869876b505', '534ddfd7e12e4188', '315f491567397c4a', '3f4d6eaf8370ea4c', '9683be82b6c1e851', 'aee572e41e752b1c', 'ec193bda727a0e1b', 'c87df7fb90fff585', 'd6344c065176bd92', 'c676884964f4bada']; context = [[2, 39], [11, 42], [39, 68], [128, 158], [77, 109], [34, 69], [78, 110], [19, 53], [3, 36], [114, 151], [24, 61], [217, 249], [48, 78], [5, 41], [15, 52], [7, 38]]; loss = 0.018467 low_pass_filter = 0.300
+Epoch 0: | | 4519/? [47:31<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 4520; scene = ['bf70cc38d33f04ea', '0c522e768ebf8337', '30d1d975d1cd4520', '549614ec15b27f04', '2685fd8ba32dfba2', 'b3eef8ecc24c5d4a', '36a2bf6ffbf3f02c', 'b15b14f1ba6553df', '967d0d422fed326f', 'a961e9131e2b8c6d', '7aaade6304f4d492', '1b3e33a1b1c8d2b0', '36f19d3edadc5a48', '61b511610991a0fa', '144b6b3f035dafdc', 'a715211071a30da7']; context = [[39, 68], [47, 84], [133, 162], [3, 31], [2, 31], [16, 46], [37, 74], [27, 62], [14, 46], [181, 216], [79, 108], [23, 56], [116, 144], [30, 61], [1, 34], [8, 39]]; loss = 0.016215 low_pass_filter = 0.300
+Epoch 0: | | 4529/? [47:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 4530; scene = ['f96e2330b2ce9910', '32e8c162218922ad', '3de6688abdf5ef5f', 'b3ad12ae1d47cc80', '87b1c7b098739af5', '7a6899ae0fe7b2e1', 'eb45835a07742ccb', '1b3f09d0f408cdc6', '94d1e2d3ad8f5b7b', '06ed257e33ae67f5', 'e0c8479d9bad47ee', '0306e29a9b02fc0d', 'b954a1663c527aae', 'e98d838758c7b400', 'c12a1f3bda8f533f', '4886562339087ae4']; context = [[84, 116], [52, 89], [21, 55], [48, 85], [4, 41], [129, 165], [18, 48], [146, 179], [5, 42], [28, 56], [104, 139], [71, 102], [229, 263], [27, 59], [141, 176], [44, 80]]; loss = 0.011451 low_pass_filter = 0.300
+Epoch 0: | | 4539/? [47:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 4540; scene = ['b12ef71a2489f6dd', 'c8c6422d189d4ad6', '27a2c372be78feda', '97841470c4ff23ee', 'db3891ea2c65f5a5', '42c9123eed4afae8', '33b23d9a462deb73', 'fc2d3a58438fd3dc', '77da5e4a29cf2119', '9467e5885839c3ef', '8db59da4458703d6', '5950349e32174ec2', '452f0a7b77c12bb8', '5ffeeee17ea500c7', '199dc42a0c5b99c2', 'd8af4b4bd916921c']; context = [[27, 56], [29, 65], [48, 77], [20, 54], [54, 86], [11, 49], [34, 65], [52, 86], [2, 35], [14, 43], [33, 66], [10, 44], [240, 271], [0, 37], [48, 82], [2, 33]]; loss = 0.015576 low_pass_filter = 0.300
+Epoch 0: | | 4549/? [47:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.000,train step 4550; scene = ['fea5962ba2801a13', '3a89f41e5980d3f8', 'b6e89f7809809f76', '979258bec9c70a3a', 'd351ba344c572b7c', '9054ce433694ecb3', 'eaf6edde08f1628b', 'd669efadc5cc98d6', '7e21932901718a57', 'd82d56dae0f3a41e', 'f0d00e37316b2cca', '7abf846b4cebab8d', '7c8ec1f892f1f28f', 'b6dc677eb037b7ba', '0bb7fd06010a6679', 'ba404e516886a7e9']; context = [[86, 124], [19, 56], [9, 42], [59, 96], [59, 94], [140, 171], [91, 129], [38, 75], [2, 33], [96, 131], [24, 56], [203, 232], [5, 42], [31, 65], [148, 178], [0, 29]]; loss = 0.017226 low_pass_filter = 0.300
+Epoch 0: | | 4559/? [47:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 4560; scene = ['070e03b0709a0c7a', 'a7f8fc1a43b57769', 'cffc10bcbe70f685', '10390a2ff18f8f55', '197cb3c37b94b9f7', '6b943f72dbe39502', '25ddeb79b2af1e5f', '0f26d93c48eb3c0b', '5c69bd51aa98d9e6', '1ebcb2adf17e7fcf', '3dd560de73369b4c', '50727c2fc099f9b4', 'c43f6cb71bd73cdc', 'c6d16d8171fd7cd9', '75cbf5f3c4e202b5', 'ea721fd4e3e0be8b']; context = [[89, 127], [167, 201], [24, 58], [0, 29], [45, 78], [2, 39], [134, 163], [39, 72], [52, 81], [9, 47], [20, 52], [56, 91], [225, 256], [72, 110], [48, 80], [2, 37]]; loss = 0.015349 low_pass_filter = 0.300
+Epoch 0: | | 4569/? [48:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.000,train step 4570; scene = ['e05964b2d09ba2b9', '3b478464a6665998', '5d00a543f59ea3ab', 'bdcf63d0e401dba9', '7dd3394cb3908cef', 'cc8083a122ecfcd8', 'ea71db72f882f844', '9ff86abeed74f7bf', 'f242147765d4e5e3', '591a55875170ddf4', 'd92c8e19a59a9a49', '82e3d222b68034cb', '262e288353a8f120', '581c854141592535', 'f3dc412274c6c8e0', '5ec3a6e7baf76b0e']; context = [[120, 158], [150, 181], [194, 231], [27, 63], [45, 82], [54, 85], [95, 127], [105, 138], [5, 37], [171, 204], [59, 93], [213, 243], [209, 238], [13, 49], [46, 81], [34, 65]]; loss = 0.017334 low_pass_filter = 0.300
+Epoch 0: | | 4579/? [48:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 4580; scene = ['3966776b9405bb07', '9fd55c3feea7ecc2', 'd6dcef8ef3405d4a', '326dd7b41ce515ac', '46e0b48bd2e4a857', '64ad08063f129a06', '61c3b3dbc4351612', '6287d38e05cac533', '93029cc15cfc08dd', 'a1abef854099368f', '177253c3f28a5501', 'af4c3213f2d7c811', 'b0203810e758433b', '2184b89353ea3527', 'e7f194ddf2bdd94f', 'eb91b53e213504b8']; context = [[22, 57], [118, 148], [0, 36], [9, 43], [20, 53], [50, 85], [11, 43], [3, 33], [53, 87], [6, 42], [0, 35], [34, 69], [25, 55], [40, 76], [0, 30], [37, 67]]; loss = 0.015991 low_pass_filter = 0.300
+Epoch 0: | | 4589/? [48:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.000,train step 4590; scene = ['aad2f8506adbabbd', '0764fc7d1ac310a4', 'b57b3bae192d05e1', 'ef71162fc458a834', 'f2a40abf0e21787d', '38a709b9a18034bf', '0f34ce3de82dd553', 'fa957196fd3f3d44', '73defeeacbffa502', '33467eeac0c07e61', 'dbd17f73c27256d0', '3bf0eb7a3be0db0b', 'd6c447047a35a41e', 'ec5e23007d81eb4b', 'd36d83289ea3127d', 'dcbeb67f1bb0a7a8']; context = [[142, 171], [171, 200], [35, 64], [56, 88], [213, 246], [39, 75], [13, 45], [18, 55], [158, 193], [128, 157], [11, 49], [6, 35], [103, 138], [51, 88], [31, 66], [95, 128]]; loss = 0.014554 low_pass_filter = 0.300
+Epoch 0: | | 4599/? [48:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 4600; scene = ['4fedc0806ed3bf28', '4f7d9469caae5405', '70239c9bc2e571c6', '287375b8ee068546', 'c8cfb09f212bf6c8', '56863fb499e2ff9a', '76b4366351bc4102', '3727bb4b44708f89', '06c648a8fd984926', 'ee619cd24ce15a86', '9c56e31b751255a9', 'd938c73738634cbf', '9c99f5634ca58894', '726026f195188079', '6acee38e5863fde6', '3e763e3c28e87eed']; context = [[42, 75], [128, 158], [12, 50], [119, 156], [53, 84], [53, 84], [46, 78], [57, 95], [0, 32], [39, 71], [26, 61], [24, 59], [29, 65], [78, 110], [29, 63], [7, 45]]; loss = 0.017204 low_pass_filter = 0.300
+Epoch 0: | | 4609/? [48:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.000,train step 4610; scene = ['55bcf94139afa5d3', '65065fb29e9fade1', 'cfcf43d0c82993da', '2cf3128084fef21e', '1a5e6471450b1c0d', 'cd4a9ef6996aa077', '151011dd7f7308f1', '8545a7dbac646463', '896a5721e7a26b4a', 'b42cfd929c43c488', '1c398feb4a695f6d', '1a4a80d012518ae2', '5fd567371304f331', '8da64ec7f57f52bf', '726ae8de71330b0f', '6271d4f0e8952bca']; context = [[154, 192], [16, 54], [236, 272], [88, 126], [121, 155], [44, 77], [0, 29], [55, 85], [5, 38], [30, 67], [8, 46], [12, 43], [14, 44], [62, 93], [35, 73], [27, 61]]; loss = 0.012909 low_pass_filter = 0.300
+Epoch 0: | | 4619/? [48:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 4620; scene = ['270ec2d099edfccd', '072ace91e2fef373', '5a38b8d664c399f4', '9af39f3dadb1471e', '06e9f26b5f803220', '9244ece752e135b3', 'b0139ba67c176260', '25dd017c409dc6ff', '69029690713e2555', '37b468e1f381e86f', '17e52586d0101584', '7e866a2e4d30dee9', 'c37e52492baf985b', 'c1edfd2888b2f733', 'f07d116fbea2796e', '5093d51cb32961b5']; context = [[148, 184], [49, 86], [0, 38], [7, 41], [179, 212], [60, 90], [217, 252], [146, 179], [73, 103], [145, 180], [42, 80], [21, 58], [70, 99], [25, 56], [88, 124], [113, 143]]; loss = 0.013732 low_pass_filter = 0.300
+Epoch 0: | | 4629/? [48:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 4630; scene = ['f0dede73d7704d1f', '7b371be1f5174844', '8be3a9f4149545b6', '855462aca11242cc', 'bf78e74b9709529e', 'b215bd4e6fb3908e', '5960b646542df055', '03517d3455e24fc1', '13e915d66f8c9bf3', '6a80f592eccac80a', '9ff828ff643d59db', '6ed187dc73df5e5c', 'c672fa3960b73528', '518e7fc4347bd493', 'a3e7988b2f56b8f0', '2f9c9d1b56eb7f75']; context = [[35, 71], [221, 257], [183, 218], [41, 74], [136, 168], [233, 271], [3, 35], [67, 102], [43, 79], [81, 113], [126, 164], [9, 44], [1, 34], [156, 187], [22, 59], [76, 111]]; loss = 0.014821 low_pass_filter = 0.300
+Epoch 0: | | 4639/? [48:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 4640; scene = ['6a211ff7d9fd2195', 'c59770fe087d28fa', '911d68b78781f3a9', '15d9bd9bab5b7d79', '23342ee0ee6467fa', '07b3b8eed5158977', 'c06465b56ad7c78d', 'f18f902446e55b6a', 'ecc9be85f439bc3e', '2d7cadb283e13574', '72e66804cf74b3a7', '9b911c261595376f', 'fcf211292855eb93', 'f5ac78e0f503ac92', '13b1888318fdc03d', 'b940087d000e5084']; context = [[83, 112], [206, 242], [145, 183], [125, 156], [140, 178], [5, 38], [13, 48], [91, 127], [29, 67], [72, 110], [9, 44], [20, 51], [70, 108], [83, 114], [84, 116], [22, 52]]; loss = 0.017252 low_pass_filter = 0.300
+Epoch 0: | | 4649/? [48:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.000,train step 4650; scene = ['b8a22214c93484b4', 'f26265876d49f8eb', 'd0e5375ea13f7b31', 'c58fe96a6470ade7', '2024b4f262746dd9', '538cf5bc7ab8cb9e', '4d09e3caa445622d', '5b7c70d9fd79a963', 'a576a801c7d2ff46', 'f83ed991c4d270c8', 'e456fc623facc848', '9f9a401b7839cec6', '3738d513d59db9ea', '0f710827f72bbd64', '71f80ab4e9cbf2f7', 'e77831c1b48a833a']; context = [[86, 121], [161, 196], [26, 59], [58, 93], [1, 34], [4, 37], [19, 56], [35, 66], [31, 68], [28, 58], [236, 265], [11, 47], [71, 104], [27, 64], [87, 123], [0, 31]]; loss = 0.014782 low_pass_filter = 0.300
+Epoch 0: | | 4659/? [48:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 4660; scene = ['e5884780d0c4b903', '6e12e46a273ddb93', '86270bfca57f93f8', 'c6ebf1a0acc6844d', 'ede232ddb1498db9', '013c0dd9d0f20a96', '8c118dc21586b065', 'bfc4c5b197bc98f6', '90b694aff0efa515', '18eb222a2b5631c9', 'b6ef30995a324442', '2c5af6f6f4959160', 'fcc8640ea447e4e0', '97a073a926498924', '95ee7f896774c542', '2703defbd6af2f14']; context = [[52, 87], [35, 65], [30, 61], [144, 175], [40, 70], [21, 57], [72, 108], [21, 51], [24, 55], [247, 276], [10, 47], [28, 57], [119, 154], [3, 32], [41, 71], [23, 58]]; loss = 0.013829 low_pass_filter = 0.300
+Epoch 0: | | 4669/? [49:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.000,train step 4670; scene = ['f993d7ccd6f449e3', 'a3e89411f1ff997d', 'ec612daa51a68448', '32c3d82c04192329', 'b7e4838a0b0d03b3', 'c2109cda6feb0115', 'b172cf5674a8282f', '99e120bf3201bfc6', '35a4d130ab0cbc9b', '5e3b3f5b748f6ad9', '0e156bcb1766c1bb', '032004811137e0f8', 'bc754662fd77d7a9', '8a1ef9f573a5861a', 'a0762a191cf2e312', 'ef610ce349b7310e']; context = [[48, 79], [241, 277], [10, 47], [15, 45], [3, 33], [5, 43], [209, 247], [1, 30], [2, 33], [116, 145], [20, 54], [66, 95], [99, 129], [4, 33], [77, 115], [25, 61]]; loss = 0.015487 low_pass_filter = 0.300
+Epoch 0: | | 4679/? [49:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 4680; scene = ['3ef11beb68156ed9', '0902983e76d12d43', '0cc0b826bb31417c', '69916f6abedac5b2', '32ae85ad2e5db58d', '9bafc381dbe8264e', '9d9ee8edd63e2417', 'cfd8a6b28bd18a82', '28912a4170e65b54', 'e7f99c193dcd3303', '46770890b4e5253c', '0c2a6a46327e0593', '68eb456659acae80', '7aa1daf4bbe3f6a8', '024510f12d858de0', 'dfa45a3b05c106e6']; context = [[15, 44], [149, 186], [83, 121], [123, 157], [0, 32], [34, 70], [66, 102], [63, 92], [46, 82], [74, 106], [33, 63], [88, 117], [58, 96], [64, 102], [61, 91], [34, 66]]; loss = 0.014913 low_pass_filter = 0.300
+Epoch 0: | | 4689/? [49:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 4690; scene = ['b679f3152c617803', 'b123dd2c895e2267', '1fbf35024dbf8d68', '2c3832975edda3e6', '40a36a6b415dcae5', '3c13718c6eb48df3', '46c0694e9ea28be3', '40310afa91e30b40', 'd8b1092e3ee04227', 'e2a60d710e081071', '7f2487897b9a59ba', '804a28c80dbb7cf6', '693fbf5b514480f0', '0d2f9959a65cc24a', '1eb3ba328532848b', 'bdac18a822bea59a']; context = [[155, 193], [63, 101], [22, 54], [35, 68], [76, 111], [34, 66], [20, 54], [22, 52], [74, 108], [29, 62], [131, 167], [43, 74], [63, 99], [12, 46], [76, 111], [73, 111]]; loss = 0.013248 low_pass_filter = 0.300
+Epoch 0: | | 4699/? [49:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 4700; scene = ['90c2437a7dce04b4', 'cfaaab863238b8c0', '8a749305c8a7a764', '1c76055afe762ded', 'e9d559d905f9e293', '3fa8b5d99c8e3897', '4de8a7529e541417', '3aa7b6c24c37a9a3', 'df8f7309507c4827', '6e1c04ef3c6995a7', 'a0fad2d7b2b26a76', 'ddb6ccaebb0f6047', '42c42168f0fb01da', '03a58fa83025c7c5', 'f1bbcd848a212362', '4af008f15e72d78a']; context = [[80, 112], [37, 67], [25, 54], [8, 45], [17, 48], [1, 36], [19, 52], [4, 40], [3, 39], [5, 35], [26, 62], [18, 53], [26, 62], [1, 35], [24, 53], [28, 57]]; loss = 0.014187 low_pass_filter = 0.300
+Epoch 0: | | 4709/? [49:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.000,train step 4710; scene = ['29d4647c06c7e4c3', '70bea44a967f219c', 'efcd629672d84216', '7d06460d5665698b', 'af4d90b5286718d0', 'c9e8eb444e59ea70', '16cfe51c8edbc919', 'f967f95e0074ea82', 'ed428b0ea145da08', '6e3f0b0c5c747686', '2f46c69ead5eb60c', 'ff8a9049aaa820cd', '4c6c644f6d9d56bf', '9e54198274c8c179', 'a1befaf25895a398', 'a1b468ded79aa1af']; context = [[2, 34], [5, 34], [20, 50], [23, 57], [31, 66], [2, 35], [31, 64], [29, 67], [6, 38], [3, 38], [3, 36], [241, 271], [143, 179], [108, 143], [1, 30], [141, 176]]; loss = 0.014219 low_pass_filter = 0.300
+Epoch 0: | | 4719/? [49:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 4720; scene = ['d5dda4ecdcb8bf7b', '20ebdd1a00b47e06', '82f71425ef743378', '314b6d851322d367', '8fdc497d1fbe893e', '62a17e3a1ebbd31e', '5c805e87d1acc7ff', '4bd7e50f6a6c39e3', '83840d718c0c6462', 'af3cfd1df1bd7d6c', '003c67ed6be72aeb', 'fd69db1d82a60c93', 'a221a85eb7d833b1', 'a9570cddae1764ab', '3854f28243e4e618', 'c5c3e043f730f1a3']; context = [[15, 45], [1, 30], [21, 59], [34, 64], [51, 83], [60, 93], [81, 113], [84, 114], [3, 33], [2, 34], [8, 46], [145, 176], [81, 117], [24, 54], [77, 113], [47, 81]]; loss = 0.013391 low_pass_filter = 0.300
+Epoch 0: | | 4729/? [49:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 4730; scene = ['390712d4787795d5', '98b2fc2c96bef2aa', '606edf61ee190bb9', 'a888e37fa9a444a3', '5f0451faca69a874', '0a6f113442f426de', 'da94a40489c43437', 'b7dc9efa95abd8af', '39e5b57c8cb372b7', '3ba697b94cd6d10c', 'e32e9c0a534ab52c', '3166216b8af6a7d0', 'e34083fb85b25acb', 'c18f5fd6741f571b', 'bbb4c9c8a56319af', '56f87edb135ccf36']; context = [[149, 182], [201, 232], [22, 56], [242, 273], [41, 75], [41, 75], [40, 70], [12, 47], [114, 149], [14, 51], [35, 72], [156, 193], [63, 94], [27, 61], [22, 60], [8, 41]]; loss = 0.015612 low_pass_filter = 0.300
+Epoch 0: | | 4739/? [49:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.000,train step 4740; scene = ['c672fa3960b73528', 'bf799dfc5a8c8e2d', '5d2be6ffaac37d6e', '03517d3455e24fc1', '6ed187dc73df5e5c', 'a3e7988b2f56b8f0', '2f9c9d1b56eb7f75', '13e915d66f8c9bf3', '8a82ebaedc2cff44', '79c9700db65046b2', 'c39bf602062e4dc2', '41d2fc0bf09f8ad8', '3af5cc9297f1a4d4', '8d287cd90144bd12', '8149c3a980cebc93', 'a1bb2d60fddf47d4']; context = [[1, 37], [187, 225], [115, 148], [12, 41], [32, 63], [0, 32], [86, 118], [49, 83], [35, 68], [80, 115], [58, 91], [52, 89], [233, 270], [82, 119], [62, 97], [10, 42]]; loss = 0.016675 low_pass_filter = 0.300
+Epoch 0: | | 4749/? [49:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 4750; scene = ['fcf176d504f6568b', '300e96e5c068a90f', '04829461484883c3', '560319076127d040', '298dace68088b42a', 'e5b0abe398be6f94', '42c7c30a9d8b0fbe', 'c840e5b4075f8b10', 'f0801818ae8a34bb', 'bb7d9f42b30abb06', 'd0e3868f1ad7dc32', '6aa7164b09ff6ccb', 'fe4e3ea09f7354a3', 'ad5bde0a1a36f8dc', 'a0b4445ac8775a59', 'faac0946535019ed']; context = [[44, 82], [95, 133], [0, 31], [56, 87], [16, 45], [21, 57], [9, 39], [1, 38], [23, 61], [210, 247], [126, 161], [12, 47], [45, 74], [33, 62], [40, 77], [4, 37]]; loss = 0.021496 low_pass_filter = 0.300
+Epoch 0: | | 4759/? [50:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.000,train step 4760; scene = ['a1ab776dff376ff7', '6f840684cb842224', '75d1f641bdddcbb7', '39b4eb2cac0cf955', '66329d4d2cea4a78', 'c26ef624913b531a', 'cf0bef80ad621a1a', 'f6c3a9a680e9efe8', '2d44cb40ad9f33b1', '7cda83b61b52fb13', 'f0ff3f5228398f46', 'd3ba8711a0704c3a', '0822254bb6527e87', '569814748e33dc27', '0eccd2c6e5c3747f', '465ef738ef5d8040']; context = [[88, 123], [5, 40], [30, 61], [0, 33], [15, 50], [65, 99], [141, 170], [1, 31], [7, 43], [165, 195], [8, 37], [102, 135], [41, 73], [41, 76], [45, 80], [154, 192]]; loss = 0.017424 low_pass_filter = 0.300
+Epoch 0: | | 4769/? [50:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 4770; scene = ['5ac2a4b054c3af89', '2824dd170b15dbe3', 'a186d207ceb04a3e', '716b5a321774e829', 'baf2bd07d76df93d', 'b1445eea64734834', 'e08818e4ab5232b0', '3689a99fb9aba35b', '7e39808967de46fd', '03e2367ca6e441ed', '89cbee6e1a545e3c', '25daa0b79515aba5', '51289aa1b1943159', '27ba4ece5f7f5fb0', '67aefd878839c2c0', '7eb0dffcddc1722c']; context = [[180, 213], [24, 59], [12, 50], [26, 55], [86, 118], [61, 98], [15, 53], [52, 88], [24, 58], [19, 48], [91, 122], [0, 33], [4, 36], [9, 42], [200, 230], [137, 173]]; loss = 0.012751 low_pass_filter = 0.300
+Epoch 0: | | 4779/? [50:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.000,train step 4780; scene = ['e599e584e54fd42b', '7111ae9755f6fbb2', 'b6d22d6bd307cc90', '4af0acc8924f8df3', '3283be94eb01798f', '18629a884d3d0687', '59caa671e1d05721', 'ed4fb330d57107ce', '904d8b97e9e93373', '0b8b599b5df5692f', 'f63601b5eeb07187', '246c5b6a15519b6d', 'cd62a0a0de875deb', 'd79b9aa34cf72412', '0df956c4d55e4a13', '8f19401489503eec']; context = [[33, 64], [11, 41], [75, 108], [30, 65], [15, 44], [26, 61], [0, 37], [12, 47], [9, 38], [91, 122], [70, 99], [0, 36], [28, 59], [47, 77], [180, 213], [111, 140]]; loss = 0.015662 low_pass_filter = 0.300
+Epoch 0: | | 4789/? [50:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 4790; scene = ['2c4c8cfb1a98940b', '2a505ec2201eef76', 'f9abf2ecc6ec26fd', '557042b1936b8765', 'ff3c5719e91ed7f2', '22a1852d7bf462ce', '3f80a5c123fb8e1c', 'da3738f1c30ec556', '5f1f71b58000eb52', 'f50ac363deab2f93', '0e13f558c8ad2abc', 'e782d3532e6907c2', '8e0023bc3bd36012', 'e714d73d9fd0a500', '0a7c736b15471316', '26a2b04d9f1dd7b2']; context = [[239, 273], [19, 50], [17, 52], [8, 38], [92, 121], [11, 44], [127, 156], [59, 89], [12, 44], [7, 38], [2, 37], [36, 73], [11, 42], [100, 137], [3, 41], [0, 37]]; loss = 0.012650 low_pass_filter = 0.300
+Epoch 0: | | 4799/? [50:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 4800; scene = ['392052b37ba1b434', 'd2bd3a3f16cea877', '46ea38e907a53781', '35c70af801116b59', 'b4e19294cf3e2116', '25129a03cfd7700b', 'e17f93684500d4e4', '9db04a318af501f1', '228ad5eef6aea3f1', '29af1130598f73e9', '66aa69e40b28c586', '2b6f8c1606069c32', '84d3a78f0a934d22', 'd6b855713728628b', '656dce4d2f591226', '25d0727d5725533f']; context = [[88, 121], [141, 176], [1, 36], [87, 123], [29, 61], [131, 167], [21, 55], [59, 96], [22, 60], [33, 65], [22, 52], [9, 39], [106, 141], [5, 41], [76, 114], [101, 139]]; loss = 0.013601 low_pass_filter = 0.300
+Epoch 0: | | 4809/? [50:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 4810; scene = ['bd4fa299f6efa649', 'e8deafeeec77f45e', 'e984f302bcc9358a', 'c203bc4b3de4f08b', 'c19e649653890e39', 'd4baf663cc2213b2', '68e42cbc6dcfc725', '27ff41a96f02b97c', 'ec5f9801aa83c8aa', '08e1c61005ae86ec', '4b0a68d37406a651', '4c02e41f39fa24e0', 'e129207a6fb70b7a', '6178471c127377c0', '4f456caaf8e278eb', '04c4eef824be2a53']; context = [[12, 50], [71, 100], [136, 165], [27, 58], [7, 41], [139, 168], [78, 110], [1, 31], [2, 40], [88, 122], [0, 37], [122, 159], [29, 64], [31, 68], [23, 61], [11, 43]]; loss = 0.015236 low_pass_filter = 0.300
+Epoch 0: | | 4819/? [50:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 4820; scene = ['b4e19294cf3e2116', '92ab77a4c94e9884', 'b7006bcf65234db8', '2c04b0f76743f0d7', '60d0e9b03889c72f', '3dc6b071ee158e62', '3a6ad27ec85f4a92', '59f044f15cfc9069', '26d86239357fd6d1', '8f1aa461b4aa2287', '86e2391acd797f54', '0b9ed52adb641450', '52e4cfe9525c5183', '055770d0ed121f92', '3215c44334e6b46e', '3cb2021c1d92b820']; context = [[48, 82], [154, 192], [84, 118], [15, 49], [19, 50], [0, 29], [45, 83], [37, 75], [158, 193], [108, 146], [190, 223], [23, 53], [37, 73], [12, 43], [39, 70], [24, 60]]; loss = 0.018871 low_pass_filter = 0.300
+Epoch 0: | | 4829/? [50:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 4830; scene = ['d6915ba62668a1ac', '91e36f2d0b1180b2', 'af3fb667751c8a50', 'd4c48c5b4e0678db', '246d7efd306d3317', '156d109af18219d0', 'c200cf8e0f790a5b', '4ed61c584ce1d04b', '01f2cacd6196c1c4', '574de45f1295c3f6', 'aecc01b48165f467', '1b9fe4be22d3b33a', '84f164c21f8268a3', '6342eb0b6c569618', '4d654e6cd79fc099', '9eadb4ac3c33a936']; context = [[1, 34], [14, 50], [18, 48], [41, 76], [98, 134], [186, 217], [18, 48], [76, 109], [169, 207], [73, 104], [188, 226], [89, 122], [160, 193], [180, 211], [70, 99], [59, 97]]; loss = 0.013275 low_pass_filter = 0.300
+Epoch 0: | | 4839/? [50:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.000,train step 4840; scene = ['75395572e67504f1', '98ce0acd742da43d', '69f4af955f0c5456', 'fe6824a4a09b11e0', 'ced7faeed5e1b387', 'feb37a1baecfb69b', 'bee353d655e1bce8', 'cd8277ba1d433bb2', '25198f154d4b0b63', '6cc3d1993764ca84', '6a65a7a43a53f22c', 'f8b0d921c30db48e', '826d66774dca5653', '388003e3d9297779', '272ca7cb6e5818d1', '17d19d1d5684d370']; context = [[179, 217], [92, 124], [63, 92], [64, 96], [38, 70], [10, 41], [176, 213], [83, 112], [103, 135], [34, 65], [1, 38], [28, 65], [174, 203], [16, 53], [199, 231], [17, 51]]; loss = 0.017809 low_pass_filter = 0.300
+Epoch 0: | | 4849/? [50:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 4850; scene = ['63e22bbf20853cd9', '55f8b7d5838491ae', '162b5410b9529295', '9228150dc0553084', '75bd2919280fa04f', '46af4f5460b9be8d', '49bcc3c9e090dad8', '7ca92f7455e150c5', '5a1c3e7d540db485', 'ca3b69314475eaba', '67278dd47246bf21', '08f62581d3c0cd3b', '4b16dc601623399e', 'bfaf41c1cab8e2ed', 'ff88889c88690944', '0753ab556d54d1e7']; context = [[91, 128], [76, 106], [143, 176], [16, 53], [3, 35], [129, 160], [3, 33], [41, 71], [21, 54], [34, 65], [107, 138], [12, 44], [19, 49], [100, 129], [56, 88], [24, 62]]; loss = 0.014832 low_pass_filter = 0.300
+Epoch 0: | | 4859/? [51:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 4860; scene = ['17dff78fa53d8977', '86804304e90a280f', '46eb8491db9e7139', '1e10b26e9ebd03f3', '18ca128750da291c', 'afbfb11da5517acb', '984a54f8dac36945', '970c8ab96a42388c', 'd1c4a0e0fde61f4b', 'e01fd52543c3109c', '1e464d7d6edb8441', 'c1680461b2490fa4', '6856c108142f8615', '78729dc7fc839286', '423fb23a46b7ad6e', '49e4f5365be165ee']; context = [[4, 41], [28, 62], [14, 48], [22, 59], [165, 198], [43, 77], [1, 37], [79, 114], [73, 105], [127, 164], [48, 83], [36, 71], [21, 53], [53, 87], [11, 48], [11, 42]]; loss = 0.014257 low_pass_filter = 0.300
+Epoch 0: | | 4869/? [51:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 4870; scene = ['f0bda6f91712fd5a', '1c71ba8b64ef1410', 'ad2bddef36995b31', '071eb67ff13bf80d', 'df74597c3957bd8c', '1978dd338fe7af51', 'ae59cd17e5fe684f', 'f87b3a9daaa34629', 'a2ce0f3c92be23d1', '0e015372167a4e79', '4a7068c1937a5c6b', 'a84f8bc94d706976', '00aa25d111d218cc', '5cac30f8def115d2', 'f9787a326ce6e7da', '7f067b4823bd9a43']; context = [[122, 156], [26, 64], [43, 74], [12, 48], [51, 84], [17, 54], [81, 113], [20, 50], [102, 134], [17, 50], [45, 83], [157, 193], [221, 252], [0, 29], [25, 62], [84, 113]]; loss = 0.016072 low_pass_filter = 0.300
+Epoch 0: | | 4879/? [51:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 4880; scene = ['dd8936d3dfe2e92f', '8b422b535466905f', '76ab8740f741fa21', '03805e0aecc9ae58', '64e4fbce1abea49c', '033a6f5499fd4763', '3a5ed5673424428c', 'e35efbb0c598de5c', '51821a6255cde575', '2bc08ab9bd25f36e', '414ad220fceb324d', '60c2ea41a5e6ad12', '8f9d510430000174', 'c3160ad9a903e11b', 'f3837e4187e78b72', 'e0c715cd001ac816']; context = [[10, 39], [67, 105], [133, 165], [6, 44], [2, 36], [5, 37], [25, 54], [68, 101], [108, 143], [60, 97], [24, 53], [28, 64], [66, 101], [3, 37], [26, 55], [155, 192]]; loss = 0.012293 low_pass_filter = 0.300
+Epoch 0: | | 4889/? [51:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 4890; scene = ['2a9a0d7936c79eac', '937deb71c0c4d1e5', '6c3f490ba179a038', '48a3ce4bd42f000d', 'ee36d9bb7a661393', '9dfb47c595e5f4b1', 'aeff198065a9b1a8', 'd27737b6cefa4fac', '6ac05296f40c0c95', '93bf60d2c52cf1f0', 'b38c22f3e33f784f', '5e48f38804685d2e', '1684768a27596d4f', '593f5915b5f4e44e', '9c1fe34e2a59897a', '574525ca424d6534']; context = [[156, 187], [1, 38], [206, 238], [18, 56], [240, 269], [81, 115], [10, 42], [30, 69], [68, 103], [77, 113], [50, 84], [110, 144], [2, 40], [51, 81], [13, 50], [15, 50]]; loss = 0.016812 low_pass_filter = 0.300
+Epoch 0: | | 4899/? [51:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/active_min_children_step=1.000,train step 4900; scene = ['948c921929ad168b', '109be21e1df549ed', '44c5d8459773f57c', '7a2b3c953d211969', 'b99cfd85b151c0db', 'ea77fcbd26a790af', 'df30479d7cd20d79', '072ca8802c0424e4', '17d52b9ef4033052', '0b82d9bc14db0134', '508e362a797583d5', 'e84a982cbbbd37a1', '9408f88181096e42', '62ebc5baa99c21d0', 'ebad6e827d1b5253', 'f65deaed7efef810']; context = [[56, 85], [2, 32], [10, 44], [95, 129], [74, 106], [116, 145], [17, 53], [0, 29], [0, 29], [48, 80], [11, 44], [29, 66], [52, 81], [0, 34], [18, 52], [11, 47]]; loss = 0.017405 low_pass_filter = 0.300
+Epoch 0: | | 4909/? [51:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 4910; scene = ['b2d281a2a3be0076', '46ab911d11ef310a', '56ecb1658ea79417', '930b8c287a8550cc', 'af241626c1a84f99', 'b4ad86bd9ce6d38d', '6cbd015b79bdb917', 'ac0880525e3d3c59', 'f19c1b266757f967', 'a829c516eb0e8e13', '0d24a9841d825fe5', '9b019ad156230e3d', '6c2e8304296b57cc', '3b365f1397699c65', 'f5850d9e389635d4', '191e1372d58914db']; context = [[43, 80], [16, 45], [130, 167], [2, 37], [33, 67], [7, 38], [44, 82], [28, 63], [23, 61], [8, 43], [15, 53], [77, 106], [69, 107], [130, 168], [41, 80], [142, 178]]; loss = 0.015640 low_pass_filter = 0.300
+Epoch 0: | | 4919/? [51:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.000,train step 4920; scene = ['51a316721b821677', 'dd9ccc6a980e0cd5', '66bdca6d2d18a969', '9c56f946df1f8cfb', 'a2e2893a29fe32e8', '64e52fb34844d2db', 'a201ebe0823fc5f7', 'd0c8bd037dd1a8ba', '83723529771921b7', 'be3290ac59571445', '2de19cb1c144c8b4', '0032c663bb6d838e', 'afd79cf17dab3e39', 'ba044124b9e7261c', 'ca1925532ad236a0', '74cf66be9d66c8c2']; context = [[19, 58], [36, 69], [122, 157], [68, 104], [37, 68], [122, 156], [35, 74], [206, 241], [87, 122], [16, 52], [19, 55], [35, 70], [53, 88], [71, 109], [0, 36], [38, 73]]; loss = 0.016376 low_pass_filter = 0.300
+Epoch 0: | | 4929/? [51:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 4930; scene = ['d62df7dfb0336080', '719114b7f77ecd8f', '31dd729f2ccc492b', 'c7ab517e25e78d17', '7ecf693f4f2c0200', 'd910c17aafacbd5e', 'fbd116be6269d855', 'c002e62e4fadef21', '8f6d593dde943920', '2ac3bf31ddefb768', 'e6a11c57b6a665ca', 'ef4ae395daf99f1c', '7840f9ac4e9c77d4', '70cbc47e6c79c801', '80f7cd2faeae14cd', '357bf45f08163f58']; context = [[3, 41], [16, 45], [6, 42], [30, 67], [1, 38], [14, 53], [207, 237], [26, 60], [217, 252], [75, 105], [5, 35], [115, 154], [22, 61], [39, 68], [12, 44], [13, 50]]; loss = 0.014487 low_pass_filter = 0.300
+Epoch 0: | | 4939/? [51:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 4940; scene = ['22549a33440683ed', '565c69d4e200fa4e', '3b024fb18bd032f7', '7214f16379a2cfcb', 'da082d9aa25ca7a0', 'dbfc3f7573753601', '6fab51a37edb7739', '66530b646b00a9d7', 'e9aeda15b7117ce1', 'e227d56dd6f178c7', '9808ade599ce3b8e', 'dcb8ad3a1428b56b', 'cc375304e2e198e9', 'cdea215558754e76', '4cd18aa0eddf1c14', '71a56f5379e2f975']; context = [[78, 110], [49, 81], [64, 96], [2, 39], [2, 33], [12, 50], [73, 109], [33, 67], [22, 60], [126, 165], [33, 70], [97, 135], [152, 187], [89, 119], [3, 36], [19, 58]]; loss = 0.017124 low_pass_filter = 0.300
+Epoch 0: | | 4949/? [51:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 4950; scene = ['551c02958152377c', 'f0e3087ed60f8e68', '2cdeb22866bd8b89', 'e26035577b7e94b8', 'a514bcc8aced0356', 'cc44fa522a2027be', 'f51137376d99b7c0', '5d64ba6b134fb834', 'b9308212e5df6f26', '6466dd709ba4f21a', '4fcb9b17624fcfed', '6984b45d6c11667f', '94cdd961dda768d9', '0160440477263b48', 'c9ee1faee53b3457', 'a3b640560aacd187']; context = [[130, 167], [13, 46], [0, 29], [127, 159], [33, 67], [214, 249], [34, 72], [2, 32], [58, 92], [75, 107], [135, 167], [6, 43], [27, 61], [232, 265], [112, 145], [91, 121]]; loss = 0.015118 low_pass_filter = 0.300
+Epoch 0: | | 4959/? [52:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.000,train step 4960; scene = ['8c311d826f923a77', 'a93cf5afa5172f2d', 'de03eb2fb73856a2', 'afb87f77f9bef824', '52a42bfbe8f965b5', 'dcd5b87a61298893', '22d1422ff4247b34', '33216e86796e9bc6', '701e1e67ce9a49ec', '2cabedba16dcdc84', '8ac9c6987f4e300c', 'd6ae7df1d2f33c9e', '54dcba84c9970357', '3249184c77ec280c', '875fb09a10109ce7', '2d9d126633e09772']; context = [[159, 197], [116, 155], [28, 58], [22, 56], [115, 146], [49, 87], [87, 122], [0, 35], [9, 38], [50, 79], [54, 88], [45, 82], [9, 38], [78, 108], [91, 127], [73, 108]]; loss = 0.014559 low_pass_filter = 0.300
+Epoch 0: | | 4969/? [52:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 4970; scene = ['f44f9cd65ac61158', '99e24816fcea91ed', '6c9caa416cdf4c45', '153eaa9736e1ca70', '225ec5b5ad4348ee', '39f84480b6231105', '4f2c5e6290da2d50', '06c10cad69c00868', '12c5cadb276b9a6d', '664b592c447448de', '2a556acdb9f72bf2', '72b336ec8447b58f', '06866305c62c0d18', 'c26b11aa4b27231b', '694c1768e5e9f5d8', 'e703ec24bd1415a7']; context = [[9, 45], [13, 50], [178, 208], [31, 69], [18, 52], [41, 73], [87, 120], [0, 34], [80, 110], [0, 39], [25, 56], [7, 44], [56, 86], [83, 113], [29, 60], [47, 85]]; loss = 0.016562 low_pass_filter = 0.300
+Epoch 0: | | 4979/? [52:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 4980; scene = ['b41eb8e15796f76b', '435cd0828f4b7049', '8b94035634782f8b', '1efaca80ced33dc1', '15aa1a0d8f9016ca', '3600facdb62cb92b', 'a6911d1668f7f51e', 'd1a08683d05999ff', '85756e711ab92320', 'b8ff56a0adb40c18', '6d0232cfe9cc7adc', 'f605345740d176d0', '06d2876e8c40a3b6', '0d2c4ce15a751f72', 'fa2decb2d4a10f6e', 'ea6695c6dc07a131']; context = [[90, 119], [123, 155], [91, 125], [31, 60], [26, 63], [13, 46], [33, 71], [30, 68], [66, 96], [92, 131], [137, 171], [45, 84], [44, 76], [55, 92], [7, 41], [29, 67]]; loss = 0.016055 low_pass_filter = 0.300
+Epoch 0: | | 4989/? [52:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 4990; scene = ['276ef580c7b5ee73', 'c7645cce7e407723', '3f27e74e06018bdd', 'c0a547f524acd02d', '6afc875a18e9cc63', 'cc288185b68c36f2', '5b56bc954e1facf7', 'af8138fd057cb9ba', '10dbf6c5afec6956', '7ab9776ea53a33be', '26855c82574154fb', '5e11c3d58d7e88c8', '2717deca05abb89b', '791434f2b9cbdc39', '1647a773a10129d9', '891bccc742646bd1']; context = [[1, 30], [1, 35], [34, 67], [193, 232], [100, 132], [37, 71], [5, 43], [39, 77], [7, 44], [14, 44], [44, 76], [134, 172], [7, 41], [45, 79], [15, 48], [0, 31]]; loss = 0.013872 low_pass_filter = 0.300
+Epoch 0: | | 4999/? [52:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 5000; scene = ['8bbb0d80a799d7e7', 'ae46c18afc8ab55f', '13b32cb917dc8b6e', '2a8b384c5d8cec5b', 'ab5ccec0f5c696d0', '3cdd1f0cb282e9cd', '170c909cf2cb0451', '9aecc2625941cf16', 'e97b09a6783c26ce', 'e7bc3ad0f05e8975', '89e1949d499596eb', '635af1b06fef3489', '0d158225b3c47682', 'a4dac014557e25f2', '1a17332c1d690519', '556108665fc7b970']; context = [[2, 34], [20, 57], [17, 50], [2, 36], [63, 99], [66, 104], [48, 79], [8, 47], [9, 40], [20, 49], [27, 62], [14, 45], [10, 48], [34, 64], [33, 67], [26, 61]]; loss = 0.012860 low_pass_filter = 0.300
+Epoch 0: | | 5000/? [52:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,validation step 5000; scene = ['70b0a33083333dc9']; context = [[4, 39]]
+Epoch 0: | | 5009/? [52:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 5010; scene = ['d33ef7d9fb847cba', 'b35fc876ab421657', 'f5050ba38fb8123e', 'b0831b553c2363e1', 'a9da01afd674bd99', '6ae9d28f3c48c184', 'c13076a68aeeb481', '985af15298bdcea5', '1fc574d993b4ec04', 'abcb5c2256d21be9', '7401e5b16bf66d1c', '1590a87dc2447f1d', '25d3003b6ad24ff2', '10b5685fa3312f93', 'efcab7b049eeac51', '2193bc2693b02611']; context = [[15, 47], [118, 148], [5, 35], [131, 169], [155, 192], [30, 69], [18, 55], [198, 231], [106, 137], [6, 35], [39, 76], [240, 274], [8, 40], [2, 37], [184, 217], [25, 58]]; loss = 0.015644 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 5019/? [52:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 5020; scene = ['288f6a7c4f4fbbd7', '8fa46e09f2f6f27e', 'f86725c75425a16a', 'bf4f6a21b10ac664', 'e0e8951dcdea3f75', 'bc52bf27cbace20b', '36d504d282ae3d38', '201e4dfecad1491e', 'df313718f3e58821', 'f84d36fcf8522220', '35170436ab3783da', 'fd1fe9c1db9269d8', '5f84ce15c4658c52', 'dc2a1e5fb50eccf7', 'd28b9fcb544a45e7', 'b43b3e93368302ba']; context = [[0, 37], [22, 51], [0, 33], [49, 78], [2, 35], [244, 278], [21, 53], [1, 39], [63, 100], [9, 40], [41, 77], [1, 40], [27, 61], [36, 75], [48, 79], [17, 47]]; loss = 0.018206 low_pass_filter = 0.300
+Epoch 0: | | 5029/? [52:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 5030; scene = ['631cad8b289f732f', 'ca438a6ab2eecee5', '9741eb65c3d6d1b0', '3bf83c412718628a', 'abc03ad39b4cab48', '4207745c5903a0d1', '3e9d3d26ac255668', '99f9f5508b34b909', '9a00aa8f9df87b1a', 'f300d1d7a9d5cfe1', '8798a3a125598ba8', '32b97db044d011d1', '45cf7b4826be3134', 'e4854b3832ac68df', '80851bab9af75349', 'ca80b6da89913682']; context = [[33, 63], [35, 70], [173, 208], [74, 108], [50, 85], [14, 48], [24, 54], [79, 112], [6, 39], [118, 153], [18, 55], [0, 29], [3, 36], [155, 185], [71, 103], [20, 51]]; loss = 0.014656 low_pass_filter = 0.300
+Epoch 0: | | 5039/? [52:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 5040; scene = ['0c0b98f2b5ef84e3', '6aad2eba073ae9c3', '99969eaec52ea5fb', 'f40f4fdf9aca7261', '69c9d2b40aa6b576', '100d14afbc5d949b', '37fa7a24e4b88b80', 'c029a22f68cdd079', '851803b644165c71', '924fff5f41aae7e8', 'e2f58ba752660105', '03c6dfb8b259e204', '70cbdbedb93e8ff9', '8cf45a89e2cb998d', '72c8c93aa3c5524e', '5c9bcde6b68f0f13']; context = [[96, 125], [26, 58], [175, 209], [213, 251], [65, 100], [205, 241], [8, 40], [222, 258], [56, 86], [0, 34], [3, 39], [38, 67], [23, 55], [145, 180], [25, 60], [133, 164]]; loss = 0.015406 low_pass_filter = 0.300
+Epoch 0: | | 5049/? [53:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.000,train step 5050; scene = ['4c48f3917eb0968c', 'a3dcf985957f8e10', '530bcd81d8f61dfd', '10869961ce9a0083', 'e58bf9d7af3ee289', 'c049ee736ade99e1', '0c2a293c53fc16a5', '9f4853c826cd8e0f', '9d1ee413421f219b', '9d763d2754c2a6a0', '6847ec57bb326a47', '6d4e40bc2b18c6fe', 'acbaf3928100486d', 'e640fb1aab7928a5', '6447ab4ccf80feae', 'cff7c5b3868704cd']; context = [[71, 104], [60, 96], [221, 251], [203, 234], [145, 184], [33, 70], [26, 60], [0, 29], [49, 81], [58, 96], [18, 51], [26, 61], [18, 47], [12, 42], [52, 91], [117, 148]]; loss = 0.012611 low_pass_filter = 0.300
+Epoch 0: | | 5059/? [53:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 5060; scene = ['dd5f3dd699d98e69', 'fa6e6f9c34048dba', '5fa60c880368bb4f', 'e22326b78f12ffdc', 'dd24892bfbe506fb', 'aa6d444d58a5e7e3', '2a02d4281c5b97bb', 'f757d683875ba54a', '85f6a09d7c0ed82e', '3bb70c0abd61c594', '9a796ca8aa9c4bcd', '48f30e638e906d02', '83f4d34bc2deafe1', '346f36ef9992c30c', '65ac09e0c0c2c35f', '14f3add9df8c5c11']; context = [[4, 36], [17, 51], [6, 44], [150, 184], [2, 35], [10, 49], [36, 65], [3, 40], [88, 124], [25, 60], [4, 33], [54, 88], [20, 54], [4, 36], [36, 69], [103, 140]]; loss = 0.014475 low_pass_filter = 0.300
+Epoch 0: | | 5069/? [53:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 5070; scene = ['389a54e3df009553', '4c32d41a44e936f9', '884dc158899ce2e1', '70903c43d033db05', '986f9c8d1733b639', 'cacd09ec04296fb6', '9bea5d613a0649ef', '044eef3604b91fc6', '68b51bdd3390ca27', 'ff859a956882f77d', '524e4f274caa5dcc', '9ec4a208d822f5d7', '92c7ddb9ed43a0b5', '0e5a11b16e833133', '5cc7e504bc1c2d0f', 'b90e6edbbd3c8977']; context = [[94, 124], [0, 34], [16, 50], [50, 80], [79, 111], [13, 50], [152, 187], [35, 70], [12, 47], [55, 94], [25, 63], [30, 61], [31, 66], [113, 144], [11, 45], [20, 50]]; loss = 0.014933 low_pass_filter = 0.300
+Epoch 0: | | 5079/? [53:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 5080; scene = ['e2f58ba752660105', '8bed11d1fdc751ef', '9cf508ad69e9b1b7', '72c8c93aa3c5524e', '7b5264196ad7f9ba', '8cf45a89e2cb998d', 'c6d42b8762adadbb', '5c04e1bb3d57c7e2', 'a4540429f3ab7b34', '73a4c98b9e149ef2', 'b44a9831f5c9346a', '986f645284094c16', 'd33a702220f9c643', '419e0277df79188e', '1cc6d70643937efc', 'f6b1933874d4af93']; context = [[146, 178], [32, 67], [226, 256], [6, 37], [72, 106], [188, 222], [1, 32], [64, 95], [20, 50], [15, 47], [45, 78], [22, 58], [13, 50], [153, 190], [5, 37], [6, 36]]; loss = 0.013968 low_pass_filter = 0.300
+Epoch 0: | | 5089/? [53:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 5090; scene = ['486b548dfacda9fa', 'eca4925a2205ecee', 'f863800d0b6b0c63', 'b4997d7f4158f26e', 'e8850f26fa325fec', 'ba76bd997075d586', '05f80e0d407580f7', '450fa68d31194b5d', 'ee6dc6861a1bbd73', '6c432e8c95774870', '8ea56bfe40784cf0', 'cd3d4bd66ce644d8', '164d871ee7844211', 'ab2ce8410384c1d3', '3a5d490ae40aa648', 'cb24af0d38869d52']; context = [[34, 68], [191, 224], [30, 60], [89, 118], [104, 134], [24, 63], [33, 66], [84, 113], [9, 45], [9, 44], [4, 43], [75, 111], [2, 37], [20, 58], [6, 38], [41, 74]]; loss = 0.011939 low_pass_filter = 0.300
+Epoch 0: | | 5099/? [53:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 5100; scene = ['9531cb66276b6a53', 'e5dca5e8131acc0d', 'c1853d5840938ce4', 'f7e30aedb1da3cb0', '1287386498681744', 'e513de8cae71180e', 'ca2fe8b44e617133', '913fb4d757212f2d', '5c6f91cf582708ed', 'd73ac1e92d6afa48', 'df35aea10caff8b9', 'eeef009fa73f29c6', '7c492dbf0a2e0c05', '7a6106a2f6d489f6', 'e74ae258141bb639', 'bd7796c1a1f89789']; context = [[12, 44], [163, 198], [20, 56], [32, 71], [152, 189], [70, 100], [98, 130], [226, 257], [12, 49], [140, 177], [92, 123], [50, 88], [48, 81], [156, 185], [10, 45], [45, 81]]; loss = 0.016521 low_pass_filter = 0.300
+Epoch 0: | | 5109/? [53:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 5110; scene = ['402824c5c52ea618', '1b618cdc14c2610c', '55ed6b10abda068b', '5efa48d2d69d3a28', 'b54fe52843e0eae6', 'f6992bbdedd040fa', '032c4532de6a859b', '6ac17c3b90486c36', 'dfdfc2a9de870616', 'd21e2fe8ccd0339c', '76863e3d95c8efaf', 'f0ccf566e933138d', '0d7c8f3488ff8d32', '38b3ab869b752c37', '9aa9466e316e9e34', '4e5fba479b7aa35b']; context = [[145, 179], [12, 48], [2, 39], [28, 58], [47, 85], [117, 150], [92, 128], [64, 100], [51, 84], [12, 46], [31, 70], [179, 212], [12, 42], [196, 226], [51, 90], [65, 103]]; loss = 0.017904 low_pass_filter = 0.300
+Epoch 0: | | 5119/? [53:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 5120; scene = ['042a55e78c9a78bf', 'ec4619c9a04ad474', 'd1b677821157bbd7', 'd5a9be470293e204', '93df669a8501c378', '4d1e13e625a4ad8e', '3cfb2bb6addaab04', 'cb36a24975ac0d40', 'ca9c396f0ba249a3', 'f270219c01c51804', 'bc32aea88019f07b', '4d8f2bd0a55535d5', '4e8169b7f130e2c9', '49289f4b2e7247de', 'c11f7df1df83e0d6', '10fc4e7b970ee82c']; context = [[116, 148], [29, 65], [21, 57], [28, 64], [59, 96], [44, 79], [11, 42], [10, 46], [72, 109], [35, 68], [41, 78], [2, 31], [86, 115], [30, 66], [3, 40], [12, 42]]; loss = 0.016419 low_pass_filter = 0.300
+Epoch 0: | | 5129/? [53:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 5130; scene = ['357523a48fddc954', '157e590e7eabe8bd', 'd0beb77828014a67', 'ba99648768371e9e', '2fa732c2181aba9d', '0b31e02e9b30d53f', '0515049c6f8d8983', '8bf7a77767897279', '15be5f4db96b238f', '7b2c118f021e6902', '8a10341cc1cc0210', '5d2de9ad981a4067', 'd0e7e477ff1174d4', '549d70078346dcee', 'b382af5f342061fa', 'f7026eb9c05f844b']; context = [[1, 36], [52, 82], [74, 109], [1, 39], [15, 45], [17, 49], [5, 44], [2, 34], [106, 137], [3, 40], [21, 53], [19, 50], [11, 47], [8, 41], [32, 62], [41, 78]]; loss = 0.013893 low_pass_filter = 0.300
+Epoch 0: | | 5139/? [53:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 5140; scene = ['6c86fd352266b6f4', '41258160de3b9847', 'e254872b0209e455', '49d738ab620034b4', 'aaab8d1b5ab123a3', '0c634c6d52ac7ad4', '6505408879fea5a8', '4a48d55a5d4d2f08', 'ff4fd16242296664', 'af55ad41c6d230fc', '1e87f5d20a230ae3', '123f7a83114427ea', '46f13edc12ac2310', 'df627392924313f1', '8ba1c59238cee98f', '36972a25e898ba08']; context = [[74, 110], [3, 39], [6, 43], [15, 54], [153, 188], [19, 58], [29, 66], [156, 193], [93, 128], [0, 35], [43, 73], [51, 86], [72, 107], [5, 38], [29, 66], [2, 31]]; loss = 0.013586 low_pass_filter = 0.300
+Epoch 0: | | 5149/? [54:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.000,train step 5150; scene = ['c1e78cf2ffa86d43', '6a350ebce6b44cf8', 'a5accfa355df6730', 'dda98b150531b29e', 'cb68843a409bae9d', '92c72363c53e8498', '090563e6281b200d', '0764de57c2aac0b7', '678d2e43ab3e3371', '71a67ae4eccba383', '46bd6752c4ea9d50', '8a78089f2d693689', '2a5f0ea759c4a950', 'a152a4b1f19f25ed', 'f28ae378537e01fd', 'b9076a13bb94860c']; context = [[24, 58], [56, 87], [51, 85], [100, 139], [1, 37], [8, 42], [68, 105], [15, 54], [60, 98], [132, 165], [61, 91], [104, 143], [43, 82], [9, 44], [8, 38], [57, 87]]; loss = 0.014697 low_pass_filter = 0.300
+Epoch 0: | | 5159/? [54:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 5160; scene = ['db588b3d9fddf8c8', 'd146ae9445f5411a', 'bb8d200a7e3e424c', 'dc58b6b45320567e', '24796eab91d76073', '0389391c32a6659c', '8539281bf2d95806', '24347fd8b78724be', '54c66644ff37a8eb', 'b9f2a7afe1c19bda', '4e1699ae57854ad2', '9a97ec19a3bf5147', 'a841b06e52f99e0d', '11562882fdab0420', '5bd2b8a6ac345fa1', 'cb1c0ed8721fbcc9']; context = [[88, 127], [3, 40], [209, 245], [19, 55], [24, 62], [85, 115], [17, 55], [8, 39], [56, 87], [59, 93], [0, 29], [129, 163], [44, 76], [12, 51], [33, 67], [64, 98]]; loss = 0.016233 low_pass_filter = 0.300
+Epoch 0: | | 5169/? [54:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 5170; scene = ['c225ee2119a2c493', '8e119e7bbc8f86cf', 'cb7c62276cf4c7b9', '670c5094bc0b1e7e', '4bb7bdad7604472b', 'e84e95938d3c87c7', '811edab8b5afc0d2', 'dc778e7d7d2466e4', '52b1987a8f553c00', '16fa6c2a59103bcb', '56d524bdd9fc0e0a', '89350178080e1f89', '6ca66a506af6977d', '336e6ce8417c1385', '9510c1bbe7d37939', '7e9b3cd0dee772b2']; context = [[164, 201], [103, 133], [43, 75], [16, 54], [14, 52], [0, 39], [19, 54], [0, 30], [164, 194], [32, 70], [85, 116], [105, 140], [99, 131], [0, 33], [42, 80], [21, 57]]; loss = 0.013668 low_pass_filter = 0.300
+Epoch 0: | | 5179/? [54:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.000,train step 5180; scene = ['2b51afd20f93fbb3', '2cedb207ea3ce853', 'fb9c7ba5d2ee795f', '3a3123960a5b3070', '6b0d274033a5e77b', '1d83764e77e159d8', '0ab530d9a633759b', 'c385bb313dbdd58e', '7713ce831ffa7df9', '49bf7713961a7248', '6eaf25e955229c09', 'aa62a6ac70b80789', '00a9f110ad222aa4', 'a28f806c4f91b310', 'c39f1a9a73797efe', '16751b714cbe4b5b']; context = [[42, 80], [145, 177], [165, 204], [241, 274], [135, 170], [14, 48], [33, 67], [79, 115], [2, 41], [44, 74], [109, 148], [41, 72], [132, 166], [191, 223], [7, 41], [34, 64]]; loss = 0.014855 low_pass_filter = 0.300
+Epoch 0: | | 5189/? [54:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.000,train step 5190; scene = ['82c18870fae1c1d4', 'ab9129e394e44ed8', '4714e4012c55f466', '469dea2a027fbf29', '5ed97c63db29a026', '1dc21884784fde0b', 'd99bc927fc414c61', '13d807ca41a87e84', 'ec9c2a32d19bdf0c', 'b96d03ef450db8c6', '9c350ab081d20885', 'c3cec39b97315eef', 'ca7a9b0af8757d37', 'a5d0ef34f899ecab', '55a7b7aaa624c8aa', '0e5c9312e7b9f05d']; context = [[22, 59], [1, 34], [10, 39], [44, 77], [44, 75], [8, 37], [40, 72], [30, 68], [28, 61], [49, 86], [39, 68], [98, 133], [18, 47], [12, 45], [8, 41], [0, 37]]; loss = 0.013129 low_pass_filter = 0.300
+Epoch 0: | | 5199/? [54:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 5200; scene = ['6ae1434f2405cd0f', 'f4e0494d0f54715f', '847b7d96b0c6a961', 'd81e8a20c72c1d7f', '1711420f306e72a1', 'f238ce09e4a579dd', '771b5e466284cb66', '64ec940e54cab23e', '97bce696f1984959', 'ff7d0eaa3534eee5', 'cc06f0648f4a435d', 'b5d3e67b48d195a4', 'f1f8e4d39a32eedb', '9046f5aa2a82b6c3', '4dcad2570007dccd', 'de18f2282a2a400c']; context = [[4, 38], [126, 160], [13, 48], [41, 80], [41, 70], [29, 67], [13, 42], [16, 54], [107, 138], [18, 50], [6, 41], [59, 93], [106, 145], [52, 90], [38, 72], [27, 61]]; loss = 0.012568 low_pass_filter = 0.300
+Epoch 0: | | 5209/? [54:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 5210; scene = ['c8a73564d8b4de57', '53aeb61ed80422d1', '2d24de854dd09f2b', '83da596fda844e13', 'f3240c7519b47306', 'f7b279a4f56e5428', '288dd95c3585b110', 'ec332f99c36bc7d6', 'bed50122582298d6', '63a83a8d50d79f02', '663bf6b629560036', '8387b3316a67cfeb', '7fcfbbf8ce73e9f2', 'a7ec0334b3040678', '2fbc610edcaff1c3', '713dbc9bb40ccc99']; context = [[138, 175], [30, 64], [51, 88], [17, 49], [11, 43], [89, 125], [31, 68], [78, 110], [49, 85], [118, 154], [71, 100], [4, 37], [160, 194], [3, 42], [2, 36], [38, 72]]; loss = 0.014252 low_pass_filter = 0.300
+Epoch 0: | | 5219/? [54:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.000,train step 5220; scene = ['c57ba40992ef16f1', 'edac89ad8a0c5857', 'c6757efdbc060746', '1c9654a2caf88edd', '1ca6a26dd235eaa1', '057ea4c83ccbcfdc', 'd63d3b781be5ac30', 'bd8d3f1861372fb8', '94cdd961dda768d9', '6466dd709ba4f21a', '7ca3afb0c40801b3', 'c9ee1faee53b3457', '6984b45d6c11667f', 'b9308212e5df6f26', '4fcb9b17624fcfed', 'a3b640560aacd187']; context = [[129, 161], [52, 82], [56, 87], [35, 69], [1, 35], [119, 153], [206, 243], [13, 52], [48, 87], [89, 120], [33, 70], [164, 202], [52, 85], [2, 39], [68, 102], [28, 63]]; loss = 0.015043 low_pass_filter = 0.300
+Epoch 0: | | 5229/? [54:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 5230; scene = ['c4fe4cd09ca33477', '67c50a32a11d6527', '87bce1294eb814cf', 'b2340e1da544c02f', '5b64f82eb008b066', '9df8b0bb880fa017', 'c5bbbdfe0a0c8c99', '3573edb7bc3d813e', '4341593476416232', '4ff161105fa398f1', 'bc19470c871e5912', '5f4d0a92e1a41328', '1d438324a79814c9', 'dc775a94f29436ca', '2f08a45fc488f029', '0940691d0181256a']; context = [[74, 112], [181, 219], [102, 139], [5, 38], [64, 100], [87, 126], [78, 118], [82, 113], [150, 182], [63, 101], [122, 160], [2, 33], [44, 76], [11, 45], [2, 42], [179, 208]]; loss = 0.012872 low_pass_filter = 0.300
+Epoch 0: | | 5239/? [55:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.000,train step 5240; scene = ['cea7f0f676df3c07', 'bb09fe710c29a6f1', '88c61f5f82fd8a47', '173dc9aa00ad7675', '3fbb0670a23bf050', '6aeccf0208405dbb', 'faed478a912295c6', 'd930506037303408', 'fa0bb765def0d6a4', '1bddde4479ab73a4', '480b1c7377b6afc7', '7333fdac494062ee', 'e12d5da93d04e783', '556b51f205dbeb4d', '6f243f8b830ae9e0', '998a4ed8ac2c2d2e']; context = [[70, 104], [119, 159], [56, 90], [31, 65], [46, 78], [74, 105], [8, 37], [23, 54], [46, 81], [19, 51], [14, 48], [10, 49], [0, 30], [39, 76], [9, 40], [0, 34]]; loss = 0.015287 low_pass_filter = 0.300
+Epoch 0: | | 5249/? [55:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.000,train step 5250; scene = ['efbf01ca01dda8f4', 'c3d8dd026931f46f', '458cc2ea856b801e', '9a89a85b0c92378b', '05519147ca499d14', '4e94ba0878d533df', '887d4449540630d9', 'cb8ed23005fc6250', '1cf67dcee73f1c6d', 'bfe6277ea60796e9', '322d3c9979c5f6d0', '9fe9c8baf0730f30', 'd8fdfde86920c2fd', '75d9a26c318d615c', '53cc747509e2f200', 'ff66a88547621c4e']; context = [[66, 102], [168, 202], [19, 50], [5, 41], [167, 204], [74, 104], [48, 86], [48, 79], [219, 259], [41, 72], [126, 165], [34, 65], [43, 79], [1, 39], [169, 202], [87, 123]]; loss = 0.012297 low_pass_filter = 0.300
+Epoch 0: | | 5259/? [55:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 5260; scene = ['b6c0e6f14e4623a2', 'e0496c5b2e1b7c6c', '372d4c8a0b200ee2', '1f7f35488598665a', '74b69334da4939e2', 'ddabc74cbdf2849b', '51b04fd9435b6853', '047b9960d19e3c60', 'de2ae796f06043da', 'd312027b19525a5a', 'da0f564e5210d09f', '8eb77501b906faf0', 'fb862259dcc8a0aa', '7257497d7ddefa3f', '06f384602bc7e787', '72040346a65ca209']; context = [[88, 124], [36, 65], [141, 179], [126, 156], [18, 56], [3, 35], [27, 57], [226, 262], [109, 148], [21, 50], [82, 116], [22, 56], [44, 78], [131, 160], [84, 118], [158, 195]]; loss = 0.013686 low_pass_filter = 0.300
+Epoch 0: | | 5269/? [55:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 5270; scene = ['f587a7ebbb97a612', '462b9d3980d9db1b', '68fa5f878055435a', '87caa7fabb8a269d', '770b8cae0d2ea678', 'e8201a41f5af1b50', '072f50455d057a0c', '821d5ef18fdd7d57', '388a0ff44b0bd8fe', '70cb3fa7ba32d9a3', 'dc02bdf097eaf7d4', '5ef7bad33680cbf4', '7a02fbdd7da26091', '7139dc5527cea06f', '63bc150f6dabeae5', '6f618ecdf22e38de']; context = [[55, 87], [20, 57], [23, 58], [16, 52], [99, 128], [35, 74], [95, 130], [80, 109], [46, 81], [104, 143], [143, 180], [15, 50], [73, 112], [90, 127], [2, 34], [21, 53]]; loss = 0.016492 low_pass_filter = 0.300
+Epoch 0: | | 5279/? [55:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 5280; scene = ['ff5a492593ad3390', 'da251a145fd91287', 'f2be114b334e38f9', '2540a5ded53fcfc3', '7f427872b14cbe12', '677a9cd698b2eba5', 'eeb3b613495c5680', '4a375fa7af6b1dce', '93f0e7e29323f395', 'eb0764dcdd1a8b81', '1e3909f1376a2c4c', '7ab1c3111fd438a1', '96923c7b287ac44e', '1234ca6ea49152e5', 'b996b08a423681d8', 'b1385fd06de0ceaf']; context = [[97, 130], [6, 40], [62, 100], [89, 119], [8, 41], [73, 108], [25, 60], [120, 159], [3, 40], [65, 98], [2, 42], [112, 151], [42, 73], [76, 109], [32, 71], [26, 60]]; loss = 0.016262 low_pass_filter = 0.300
+Epoch 0: | | 5289/? [55:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.000,train step 5290; scene = ['0576d6e1311bd8dd', '3601f8513ad029c3', '69f87b8846c283eb', 'b3e9039ac2592fe9', '5cda06618fa317be', '325d07b969357a2a', '7e460ab46bd78331', '3f9bccf346f84b5e', '0dbb47bae0f2a724', '254ff05c2f88a003', 'b3724db39dcee800', 'bf80a0c4f9a745ec', 'e57e823e91ecadc1', 'ff6db2e6978774e3', '3490d69bb9b94e04', 'c2289c708c7f0629']; context = [[26, 63], [18, 49], [151, 182], [20, 49], [29, 60], [80, 113], [94, 129], [2, 33], [176, 206], [10, 40], [66, 95], [15, 44], [4, 35], [41, 71], [126, 163], [5, 43]]; loss = 0.013737 low_pass_filter = 0.300
+Epoch 0: | | 5299/? [55:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.000,train step 5300; scene = ['0499df396f6a3456', '240fa5526bf92b4b', 'c9be10016b5a04d3', '87ed4d913ee78838', 'c9a86226573600fc', '07e5ec022e330655', '011b7380ab15b710', '52b31b38cde73e3d', 'ec390ca65ca9aa9e', 'd6ad59a4aea1073f', '015d4f40848e2375', 'c9f5b31730c2abff', '612875a5df3366df', 'c3e2d9ee768b278c', '0b8f65a906a21f2e', '997fcdbe2ddb04a9']; context = [[42, 76], [10, 40], [31, 65], [49, 85], [66, 102], [72, 105], [232, 271], [35, 73], [31, 62], [20, 57], [105, 134], [0, 33], [12, 49], [60, 98], [72, 108], [0, 29]]; loss = 0.013143 low_pass_filter = 0.300
+Epoch 0: | | 5309/? [55:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000,train step 5310; scene = ['d2296281f2cdccf2', 'd634cf82d36cc569', '8cf3c521b190624e', '33a7d571ab031d70', 'b476d01a67642324', '1deb7af016dc2b4b', '3d25472e6c3c1656', '86bf9a8f338370fa', 'a8dbc5491c002f9d', '40a1217116dc112c', '3af52105acc793ba', 'ff9b2c0bb5d5265a', '2fcad17f6d64f031', '28657804465f74a1', 'f5d4e372b5a8e9ea', '9b7c4f425d7506ea']; context = [[36, 69], [38, 67], [12, 50], [19, 54], [64, 94], [16, 51], [86, 121], [29, 67], [186, 226], [52, 83], [38, 72], [36, 70], [37, 75], [25, 58], [197, 235], [193, 231]]; loss = 0.015414 low_pass_filter = 0.300
+Epoch 0: | | 5319/? [55:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 5320; scene = ['d23b108e840951a1', 'b0a37b9cfe759de1', '357d019a023312c7', '075784c69c746731', '61cdbe0f820614ee', 'cb2b368e1872f0fb', '192bc7d63e77a5c3', '10c8a3c07c9565b9', '22edf9279359ca32', 'a4f278a88650c331', 'fbc8fa14c66e67cd', '5f1fc19943805c2c', 'ce072a0a0665a1f8', 'a94288a8ba34c885', 'e6d10d8d551ed1b3', 'd0bb7be92eb6586e']; context = [[235, 269], [32, 63], [3, 35], [103, 143], [36, 72], [32, 67], [4, 37], [186, 215], [15, 48], [48, 80], [0, 30], [85, 118], [15, 48], [42, 82], [21, 50], [75, 109]]; loss = 0.011792 low_pass_filter = 0.300
+Epoch 0: | | 5329/? [55:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 5330; scene = ['f12ad81cca298e1f', 'de50a9dcf012713e', 'bbec698826707bcd', 'bcd7ca7e2fd57cc6', 'd50e7c48f102d70e', 'c3e90284d1bbba94', '93dcdc36ab76b422', '1370b99bc8024aa7', '9c7f3c4d1c9c3760', 'b6b27ea9e20cc7f3', 'ce59572e15a0917b', '3421fa4b85e525fb', '489d324eb86cc70a', '964d50806b5af188', '50d16d209c6d009c', 'eddb11e3eafb8bca']; context = [[45, 82], [84, 124], [8, 37], [109, 145], [61, 93], [30, 68], [170, 205], [37, 74], [57, 94], [19, 49], [40, 79], [172, 206], [25, 57], [67, 102], [137, 174], [45, 78]]; loss = 0.014503 low_pass_filter = 0.300
+Epoch 0: | | 5339/? [56:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 5340; scene = ['66b95ee15dfd4ea0', '5a81ed272512c4ad', '9a8cd9d0c7314a95', '130d19f9ec2f7235', '2169964b451800bf', '1df5d60616bb1da2', '1d4b5d6f1f708dda', '3c4b99bef5d8b14d', 'a7292cb341621b8d', '0db0f89cbd496f99', 'f6d1abd75e475ce1', 'aca448559d1997e0', '19382ec5b64975e4', 'c179864f6886d590', '6680e7403d9fc3a8', '15b12db73baa4918']; context = [[38, 69], [11, 51], [27, 62], [73, 110], [38, 78], [58, 92], [162, 195], [113, 144], [66, 99], [67, 101], [9, 40], [0, 31], [135, 172], [14, 45], [199, 234], [157, 192]]; loss = 0.014734 low_pass_filter = 0.300
+Epoch 0: | | 5349/? [56:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 5350; scene = ['5480996847352f46', '655505b3d15f6b6b', '08c2813dd40cc55e', 'f1c8dd3eca2368c8', '40aff09bb1db0174', 'eb75a65668cda3ca', 'bdde1dd25164dc84', 'a2ecaa8119e0206c', 'bc4ac3535403fd2b', '9d9117e021fe4c77', '31546243e7d33be6', 'eb2f7073cf409991', 'b039526008c39a0a', '6c2ee57b58acd9e5', '5c97b500db0da80d', '019e279d086db037']; context = [[1, 34], [213, 248], [26, 65], [16, 51], [83, 114], [32, 63], [107, 146], [107, 145], [4, 37], [20, 58], [17, 46], [83, 118], [72, 101], [144, 179], [5, 37], [5, 34]]; loss = 0.013937 low_pass_filter = 0.300
+Epoch 0: | | 5359/? [56:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 5360; scene = ['da636de692a21cd0', '033b12f404f63cbb', '96a080358e6044e1', '157b25ea83cbc4d2', 'f97e8cce9ac5da7a', '6d54ac0665423743', '1f9aacec275801c6', '5edcd26b1cb60937', 'ed6b96c95aec84c3', 'b3df634dfbb7dbad', 'a6d8c96b509c61f6', '7a6d0c41df09d365', 'b8cd548a430e6504', '133eb0267c37e6cf', '992ebd0c7e77e8d5', '2ecc9a4fa6120c55']; context = [[103, 141], [17, 49], [55, 85], [45, 80], [98, 137], [24, 60], [47, 77], [5, 39], [0, 29], [64, 96], [11, 50], [39, 73], [0, 38], [82, 112], [32, 63], [7, 45]]; loss = 0.018192 low_pass_filter = 0.300
+Epoch 0: | | 5369/? [56:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 5370; scene = ['f1cba6bbef111bc4', 'cba4fb922ec2d6d4', '4633b2da2c16f0f2', '7536ce49ae587cef', '040c698e24e08ed0', '2e4d851f9306e3dc', 'db03fc84a638ede6', '0421b2f436f8639b', '031889e2eaf30f9d', '73ab9a4614f35581', '886c8489dee57871', '4682f088198970d6', '3660cb810808a4cf', '07fba88c60858724', 'd382ab655e3bce78', 'cc6efcc5866e4a90']; context = [[0, 39], [124, 153], [21, 58], [17, 52], [1, 41], [28, 58], [2, 40], [221, 261], [42, 77], [34, 65], [32, 62], [30, 69], [9, 38], [67, 105], [3, 41], [5, 40]]; loss = 0.013435 low_pass_filter = 0.300
+Epoch 0: | | 5379/? [56:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.000,train step 5380; scene = ['9f55a331f0e02fcd', 'd8e1f8ca9a8f6d75', 'c69838b39a586dca', 'e324acf1610847ca', 'f98c4f8284140152', '0956329fc4d362a7', '538591ce295ffc23', '54d7ae4d256f9bb3', '076a3cb985c80010', '87642eb2736f7e14', '5d19245e6d2d1984', '47be95f00b0bf5a0', 'fb1d52e6984581a6', '76fb9550ad54d54f', '4ef1dc6966082c8b', '79d2c9de50d9ef47']; context = [[55, 95], [10, 44], [3, 37], [44, 79], [60, 94], [36, 68], [55, 89], [54, 87], [19, 54], [99, 136], [18, 49], [6, 44], [22, 57], [25, 60], [173, 213], [41, 81]]; loss = 0.012692 low_pass_filter = 0.300
+Epoch 0: | | 5389/? [56:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 5390; scene = ['fc6f10f3b8a73c29', '3b6c0832b0286bf1', 'f93b66aff97fc215', '8d88417d149343a3', 'aa5affe1e69017b1', '367a22812a39d7f3', '24e01c5b3902d452', '0ab7f0b74e2be22b', '0acb50de3333ba56', 'c778e8ffb973ff2f', 'b258499e892b8255', '37bab43436b959b8', '1c24110d82ca7fda', '4d92ab13df7d131b', 'd12825d81e12ccc8', 'e88c0f58059c2de1']; context = [[0, 31], [15, 48], [9, 46], [26, 55], [106, 145], [25, 54], [20, 58], [37, 66], [0, 34], [69, 108], [2, 31], [65, 102], [0, 37], [42, 71], [85, 119], [30, 62]]; loss = 0.014835 low_pass_filter = 0.300
+Epoch 0: | | 5399/? [56:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 5400; scene = ['a158e8ef80e7d2d9', '3c6965a731d2629c', '0ac4789aaac5fb87', '0c45294e8621d56f', '3fd2fbeaa6f74d73', '2628034a058a6913', 'f2b6d02e09d5aa0d', '6bfd75614a588bfd', '2ca280b29aa6153b', '1d470a9e42d084dd', 'b08656a13f10d261', 'd0c0d78936b6e5ce', 'b285bf927275db22', '4797e813ea4a5ed2', 'b77f68b6747f4859', '06f1f44839e7eea2']; context = [[58, 89], [42, 80], [131, 170], [2, 38], [21, 57], [37, 68], [12, 52], [93, 128], [15, 44], [74, 105], [43, 82], [19, 51], [170, 200], [88, 120], [17, 46], [68, 101]]; loss = 0.011907 low_pass_filter = 0.300
+Epoch 0: | | 5409/? [56:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 5410; scene = ['3dcd0b8aeec5b011', 'c8d937ad5508c955', '87f49da9c0b54842', '8c00e811d3144c91', 'da537cd2108e4514', 'f0c94e73b90ded09', 'fc79aa2b3f311bab', 'a247c02f80bbb209', '3f7ad3e6596dad77', '3a1d2d045043f414', '1b6dd37807bb05d0', 'f1fee73a9b341480', '45fe8e7d1b9acc8c', 'f29c1b3cc98b3302', '3ed6a45f22053af4', '3486b9130a67c28c']; context = [[85, 116], [65, 105], [198, 235], [89, 126], [89, 129], [28, 57], [0, 32], [25, 63], [33, 70], [8, 37], [25, 65], [36, 75], [7, 40], [20, 60], [28, 60], [17, 46]]; loss = 0.015321 low_pass_filter = 0.300
+Epoch 0: | | 5419/? [56:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.000,train step 5420; scene = ['0d7d697af93bbebc', 'ca738f440873a7ac', '9ea9c23612f4febf', 'b7efd4a0885241a0', '937c5776c7311396', '217b5aa939551994', 'cd7942b83b5de1dd', '40990b4eb108c003', 'aabaaa1e03ecd159', '3a163969413dbe74', '5e8552f9cdf1e078', 'b12b1204a0c7c197', '5db240a3c54df22b', '28ada2a08238d1c8', '272f7a997c94d84f', '3220f882c1f72cca']; context = [[65, 103], [16, 46], [6, 46], [116, 146], [28, 57], [23, 54], [27, 65], [56, 94], [6, 35], [36, 74], [53, 92], [43, 78], [21, 53], [1, 30], [41, 80], [33, 62]]; loss = 0.017258 low_pass_filter = 0.300
+Epoch 0: | | 5429/? [56:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 5430; scene = ['ff87c19446c6325e', '8eb7ab71f603c9d4', 'ba912e46735db7fa', '0aa2d2048c581dff', 'a1e59c09aca976c4', 'd6c25b52e39788fd', '56d99f2651c2e40c', 'b05542bd675891b7', 'a9700a57783f7991', '8ce0d51d0982957d', 'f722d2ef78cc3c1d', '6434fa7bf139fd26', 'a1ae89e690a4a7a3', '12a02be37a8072ca', '4ebdff8b4c93a49a', 'a80cb16e79664c79']; context = [[51, 87], [90, 119], [40, 75], [170, 205], [54, 85], [35, 66], [17, 50], [143, 179], [161, 194], [134, 167], [2, 36], [0, 31], [64, 104], [39, 79], [73, 109], [99, 128]]; loss = 0.012922 low_pass_filter = 0.300
+Epoch 0: | | 5439/? [57:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.000,train step 5440; scene = ['44cd0f7c658cb252', '381998f0ac7badf1', 'e72032e8935bae10', 'c14419e33d30959c', '58adb59cfe7b51c4', '6c8afce58a414579', 'a2a595d1841e657b', '80bdd8d93d4fb6be', '2595d3a0144c9949', '07cd08bff98fdb11', '1808b1a7f1c93d66', '8b9a04c6ae39cd63', 'ea8d853b968e25b1', 'bd695f52931a2fc2', '09f01ea6da02863d', '14467edbc6b3c25b']; context = [[29, 59], [24, 57], [170, 209], [98, 136], [6, 43], [34, 66], [0, 36], [77, 115], [7, 47], [9, 42], [157, 194], [75, 109], [48, 85], [59, 90], [33, 71], [196, 227]]; loss = 0.016381 low_pass_filter = 0.300
+Epoch 0: | | 5449/? [57:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.60, train/active_min_children_step=1.000,train step 5450; scene = ['8e6471db97ef4a0e', 'b3c43704ee2efd4f', 'aed0866b978534ce', '3f1c317b330d2d2a', '90702eeb91bbddd0', '11a50f1b50fcb1e3', 'f8e45b89d92fde53', '1c0c6085ace8b5ac', '4d6d1fa8e570dced', 'd28a2455cc34badb', '3d3cf44d557987ec', 'a7fa0e61d89f8092', '1fa1c6787f0c73e6', 'b30304703e3b4359', 'f769e724a6aa1acf', '4ad2c3aac2236ec1']; context = [[223, 261], [58, 88], [5, 44], [0, 30], [81, 116], [16, 45], [8, 45], [52, 86], [16, 51], [36, 65], [70, 108], [25, 59], [47, 86], [8, 37], [11, 41], [8, 48]]; loss = 0.016627 low_pass_filter = 0.300
+Epoch 0: | | 5459/? [57:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 5460; scene = ['5099c6f3fb93e684', '1ad12c3a248af8cf', 'd98acfb229c132d4', '319afca687117c09', '3e0b7385bac9943d', '74ae525e53e4e839', '4e9259a2f1ca8172', '3dcab1ed660e86b0', 'e050c501434635a6', 'e8e6ca08b21ace12', '1a0b5e0311249585', '1589e0b2e2f6bc28', '60afa3f512f5b228', 'a188962d9a2d6b06', 'bbfc8f15f6a23e15', '8f49666ea364c87f']; context = [[135, 165], [16, 45], [21, 52], [39, 72], [114, 148], [53, 84], [33, 68], [95, 126], [25, 56], [80, 114], [74, 103], [73, 104], [30, 69], [125, 155], [8, 42], [64, 97]]; loss = 0.014359 low_pass_filter = 0.300
+Epoch 0: | | 5469/? [57:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.000,train step 5470; scene = ['26a9ac76550eb817', '6048b574a2da8f7e', '8b699056d31a8591', '20afbe6f261cd61d', '87b388b4e4a77b3d', 'bd24867c60c345b2', 'f0af9a1645fffb8e', 'a30f898a6e455745', 'da158c0720b75e35', '1ddfbeb2b016dfd9', '2d350d7b093abcff', 'c7b8de10ce8003bb', '3551ff5b8a497fb7', '43fcf5cea7f176bb', '3aba252e263e7585', '3d90d586b33daa63']; context = [[171, 204], [111, 143], [35, 64], [220, 256], [31, 68], [5, 36], [84, 116], [1, 37], [222, 251], [170, 205], [171, 209], [161, 190], [9, 49], [19, 58], [49, 80], [42, 80]]; loss = 0.013968 low_pass_filter = 0.300
+Epoch 0: | | 5479/? [57:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 5480; scene = ['7ad3231c24e827b9', '82c480b92e7f291d', '3f80d145e396a258', 'ee3298a5cd65a31e', '7239fd8fd4634a8a', '4a20c466e50b402b', '8ea7ceeafb6748e5', '1ed35ac17e62e112', '0845841350913fc1', '1401a2ebe30f8654', '7a01f2fd6c6a119a', '9805373c2288a1dd', '8a851c87576299ca', 'fa7e7926abc78907', 'cb656e90448e660e', '4e90b5a00ca1a323']; context = [[24, 64], [34, 67], [74, 106], [61, 95], [1, 30], [17, 56], [161, 192], [30, 63], [37, 73], [49, 79], [44, 75], [16, 49], [41, 71], [135, 172], [20, 52], [126, 160]]; loss = 0.016923 low_pass_filter = 0.300
+Epoch 0: | | 5489/? [57:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 5490; scene = ['865900d9c2b663c9', 'a24967a730ebc2fc', 'e12f8fd924b2ff2d', '41bbcb5954a17c24', '6223b736736550fb', '5ff238d3fbe7ea4f', '25ec2f2b3a0d6128', 'a8946be6bc32768a', '19f106c5f56ad5e5', 'd6dba7b939bd71e6', '7630cb2752ecf0a1', '8008f2d012c86037', '7c6e11f01c36ad07', '6712459dd798fb34', '25cc0fc657ec68dc', 'e34bfc2025bb8a3c']; context = [[74, 103], [3, 36], [189, 219], [79, 115], [18, 53], [0, 33], [12, 48], [68, 98], [21, 58], [20, 51], [214, 248], [64, 99], [0, 38], [8, 38], [29, 69], [28, 61]]; loss = 0.014723 low_pass_filter = 0.300
+Epoch 0: | | 5499/? [57:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 5500; scene = ['a00f87e22e7a7e17', 'e83e99bb33c1a3e2', '04b3da927d89d493', '02aefe31b7a71fac', '4d2adcb584111f9d', '056f1f2bfde5fb21', '214661ea5a7a9f72', '1b1aef5cd100d7b1', '9699b192e759c1b1', 'ad9537b068a7a2b3', '6d79d1b2ebc6339a', '4cc2d85eb52c39a4', '0378dee255b839bb', '535befbe41a1832f', '6bde4da4cdc53d65', '4a218ddfc3698ca8']; context = [[2, 41], [205, 240], [0, 38], [4, 38], [9, 46], [4, 35], [117, 153], [104, 144], [0, 29], [229, 259], [38, 67], [145, 183], [72, 109], [69, 98], [16, 55], [34, 71]]; loss = 0.017424 low_pass_filter = 0.300
+Epoch 0: | | 5509/? [57:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 5510; scene = ['8fc22c613c72a02a', '1d6bf47d6ecbd3ff', 'd43b2589bfad420d', 'e281e9def71a5d75', '57a7869c80122094', 'f60634cf55eaf7a6', 'f1a132429305495d', '07dcbe8c5f9d28f5', '516fd962b7841a48', '0f5d08b5da175692', 'eb60b162a280124d', '861d4feec5f9b49b', '35891bff7199a043', '4595fe6c08ae6c78', '430a2156b3d644ef', '02d2e00211f4cce5']; context = [[147, 186], [33, 70], [138, 171], [5, 37], [18, 57], [16, 56], [3, 33], [36, 72], [3, 37], [1, 34], [4, 43], [25, 60], [23, 61], [115, 145], [34, 70], [1, 33]]; loss = 0.013043 low_pass_filter = 0.300
+Epoch 0: | | 5519/? [57:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.000,train step 5520; scene = ['7457cffbf17059d3', '433987c509f5442f', '5a8fb227617bc6e2', '38395e6ce79e835b', 'd8e9616b1e981414', '242f3d00d2249ee4', 'b90bf61bee75ec27', 'e27ef3283e391bc9', '237a1d9e48147ad7', 'a2f17a459de1b53d', 'c211a4e6259ece5d', 'a5303b1dd8aa66de', '47c42531f87a3b11', '94d46e2462293544', '3ee46147a2b833f3', '46458b3078b63a9c']; context = [[57, 97], [22, 62], [231, 270], [38, 67], [19, 48], [6, 35], [107, 143], [35, 70], [73, 112], [108, 147], [198, 232], [125, 158], [27, 67], [26, 60], [58, 88], [41, 75]]; loss = 0.017382 low_pass_filter = 0.300
+Epoch 0: | | 5529/? [58:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.000,train step 5530; scene = ['8d6225fc06663819', '44a1b98a02b5ac08', '17a3785a7d58531d', '24ce6ffabc07ab12', 'cfe7d2764a367f81', 'c3f6971df97e2897', '47d88b09246dad2e', 'c8c034439fbe43f2', '03704dad48e824f9', '39bb5aa9284997dc', 'eae116e50dca5b4b', '3ec7b2a13295083c', 'e0222b577fdfde97', '2a4692e93110dcd6', 'b163163dd0e2f7e2', 'e7389c12d966a072']; context = [[38, 73], [98, 136], [26, 63], [8, 40], [69, 107], [0, 32], [8, 37], [4, 39], [20, 55], [1, 41], [25, 57], [8, 46], [120, 159], [13, 51], [0, 37], [138, 175]]; loss = 0.013959 low_pass_filter = 0.300
+Epoch 0: | | 5539/? [58:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 5540; scene = ['cee4b55b538a7310', '3fc4d99af68cedb3', '18f8fd3136058ed7', '980925ecd20e9845', '869ab3af4fd90d3f', '7fed8c3dae1c5e78', 'd44c8063e3cf6035', 'b5af5097b8dcc2ad', 'a050a9a892104e14', '70e481732168c917', '9668707d6167a299', '6e0ef4cc3bfcac11', '5a5a30f1279f5d73', '3163b94a6d8ffcfe', 'b153eba06a4a7099', 'b99c46a1570d3911']; context = [[166, 206], [29, 58], [193, 222], [82, 116], [25, 61], [11, 40], [127, 163], [97, 128], [22, 52], [31, 62], [41, 75], [89, 128], [48, 83], [83, 113], [77, 106], [1, 39]]; loss = 0.012637 low_pass_filter = 0.300
+Epoch 0: | | 5549/? [58:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 5550; scene = ['670ac4616b1206bb', 'aa69d5f0ef278bcc', '435e542f555f0e73', '64e10d960da52622', '5da281712a5579ca', '65af5eea5fa48df5', '5477cf3b49317bb5', '739123afdcc19a64', '7f6de4b0a9fc2031', '210b0b6d01486fd9', '393d55ce8c4253b9', '08f858b77d2bf0ee', 'a61efdc5c2ede23f', 'eea06971672f9842', 'fb32daf720b64da7', 'c9a65a24a9332e68']; context = [[1, 41], [59, 89], [137, 171], [2, 34], [8, 39], [27, 56], [68, 106], [4, 43], [15, 53], [21, 60], [1, 34], [36, 69], [24, 57], [19, 52], [5, 39], [13, 53]]; loss = 0.018072 low_pass_filter = 0.300
+Epoch 0: | | 5559/? [58:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 5560; scene = ['4f8b39b0edd0ce37', '0402b44b67cb86aa', '149264dae59d363c', 'd09f5679022ea967', 'd44c8063e3cf6035', 'a050a9a892104e14', '18f8fd3136058ed7', '7fed8c3dae1c5e78', '980925ecd20e9845', 'b5af5097b8dcc2ad', '6e0ef4cc3bfcac11', '869ab3af4fd90d3f', '70e481732168c917', '9668707d6167a299', '911bac2f341d1efb', '158c23e60aa920aa']; context = [[45, 82], [93, 122], [11, 50], [3, 35], [169, 208], [34, 72], [28, 68], [1, 34], [110, 149], [41, 80], [168, 207], [12, 50], [34, 69], [83, 113], [51, 86], [14, 53]]; loss = 0.011593 low_pass_filter = 0.300
+Epoch 0: | | 5569/? [58:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.000,train step 5570; scene = ['464facd721dc4fe8', 'a3cd2e001860cc33', '998ea1f3c868e3a1', '2cfb834d3733175e', 'a956cb2982bc95f6', 'd9946b2453bdd6de', 'fc3417d870df21eb', 'd38b3ae6b1136c47', '648bf43d7fe51924', '7646ac2f8b5fdaa6', 'a27f448e55637a5f', 'e1e6a57412c525ae', 'a725e2994ee82004', '86824ec7330f61df', 'e05b95578c4c14d1', 'dcc32501d6d299b3']; context = [[48, 86], [60, 99], [35, 70], [10, 43], [28, 60], [132, 167], [101, 135], [43, 80], [10, 45], [13, 43], [48, 86], [43, 74], [1, 39], [8, 42], [69, 101], [26, 58]]; loss = 0.015134 low_pass_filter = 0.300
+Epoch 0: | | 5579/? [58:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 5580; scene = ['6af55bff913df3b2', '8a5989ad160852fb', '8053040c68f0f399', 'aa6ef5b2399f711f', 'c932e892fbee3ca5', 'f0e30dd78f286d59', 'c9a4e10af7515491', '8099e2a14e49dfd5', '1436f83e1075a805', 'dc7fed401ab6115f', '62ddd52d1b36f9aa', '9fd328f8a94cfbaf', '48fc5cc333450bb1', '0584d558b805f5b6', '442c414a99c4b112', 'b85c409875a4573a']; context = [[26, 63], [12, 45], [2, 31], [49, 84], [109, 145], [8, 44], [12, 43], [9, 50], [4, 33], [55, 90], [170, 201], [5, 45], [52, 85], [42, 81], [105, 143], [36, 67]]; loss = 0.019250 low_pass_filter = 0.300
+Epoch 0: | | 5589/? [58:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.000,train step 5590; scene = ['4bcd11d183d71da9', '37865ebd13575d72', '78b41070b535d150', '09772eae485e6dda', '38e96cff15428333', '7c85481e2834e905', 'ca75f7c87ea5d769', '21ea2c8f2f914e52', 'cd50c121eff10ec6', 'b25de35dc81a1279', '5a2b85fcc1ba4d04', '776d6e3d5a4941de', '100d2313d1fdff69', '7c8e1c58421a9f57', '46280d14ecb9cdaa', 'd41560daed994b6c']; context = [[7, 40], [10, 46], [29, 61], [12, 45], [12, 52], [44, 84], [0, 29], [28, 69], [27, 64], [9, 46], [33, 63], [24, 53], [61, 100], [128, 158], [44, 74], [4, 34]]; loss = 0.016981 low_pass_filter = 0.300
+Epoch 0: | | 5599/? [58:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 5600; scene = ['48ac926ceb75979a', '231cee207e92e4a4', '0b02dfcb00bf1883', '9f54bd5339c8b477', '7243da98de04021a', '6e9bd326e863a7aa', '88cde88863b6ab2b', 'cb2c08bfc550f0a9', 'd270d12e230b0781', '25ff552826ae9703', 'b47316f4bcb9c5b1', 'ccd8e7726eb7c76a', 'c1f924630c31a4f9', '9a76daac7a2dfb14', '9d72fd4253ba8ba4', '8d02624bde074dc5']; context = [[2, 41], [6, 36], [169, 205], [232, 267], [26, 66], [18, 51], [22, 52], [0, 39], [180, 217], [5, 37], [11, 43], [126, 163], [44, 82], [3, 44], [7, 36], [56, 87]]; loss = 0.015647 low_pass_filter = 0.300
+Epoch 0: | | 5609/? [58:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.000,train step 5610; scene = ['4227c1d0a1dd9baa', '205114c55ab17127', '59d325df680f395a', '9781f678199c8c4a', '9a308213ce2ba663', 'd3451a948ab6ae52', '59f14fd999b7a247', 'f0672b503ee9dd83', 'eaf70d3fdf4a4cb6', '581f0c393cc14adf', '5dc2cecdba20b532', 'b1678aa5fe9e89ca', 'e43a51c4bbdbca0a', '1537d16fe982abc5', '1725444cbcf517ce', '6ef5ea60516dc2bf']; context = [[62, 99], [76, 117], [41, 80], [5, 42], [21, 59], [156, 185], [4, 36], [35, 73], [160, 190], [25, 61], [149, 186], [88, 128], [84, 123], [0, 29], [0, 29], [92, 129]]; loss = 0.015631 low_pass_filter = 0.300
+Epoch 0: | | 5619/? [58:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.000,train step 5620; scene = ['1cc6d70643937efc', 'd33a702220f9c643', 'f6b1933874d4af93', '4dce2f5cdfb61209', 'f5fd2d3dc5eda234', '6d61ad929ef27967', '19f67a7892d9f90f', 'fc2a6fbf654d942d', '899be620f6c32deb', 'e65f7233e91ec182', '63b0f36fa4b80593', '636687c4e391e92f', 'ab105e8f1d99150f', '5bab39c110682f57', 'b6cad6be37c89009', 'a43662d2b5050d3e']; context = [[3, 41], [1, 33], [2, 34], [15, 55], [76, 106], [102, 131], [1, 42], [14, 46], [18, 48], [96, 126], [100, 130], [0, 36], [20, 58], [19, 58], [175, 214], [168, 200]]; loss = 0.013342 low_pass_filter = 0.300
+Epoch 0: | | 5629/? [59:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 5630; scene = ['26423478e599c534', '65e8056ea2cee790', '73bed0f6a4b9b166', 'd24ce8f07f8259b0', '5bff580b11c1d3a4', 'ba61678ba772d051', 'b835141cb69d7442', 'f3c9b744a3ec8d81', 'b27be52aa4b2b9ce', 'b937cda3baf53a54', '7b0d66794e39e197', 'a39ab876cafedf5d', '93db39179afa7a61', '7ce91d458153b048', '496622bf4d081e09', 'ad95074b40f49e6b']; context = [[20, 54], [29, 64], [12, 47], [6, 45], [60, 99], [7, 48], [19, 58], [59, 89], [59, 98], [55, 95], [61, 98], [2, 38], [103, 138], [72, 105], [191, 221], [230, 259]]; loss = 0.012221 low_pass_filter = 0.300
+Epoch 0: | | 5639/? [59:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.000,train step 5640; scene = ['73dc27448e4f065a', 'c6ea933d1fff0d59', '26e1218850abd298', '2e4d16122bd76f43', '2443e886f743cc34', '757f85ef4b708166', '7e071e8a7d3b9bea', 'e3902b3d16d06f7c', 'af0fb83cac474b26', 'b58fdee123aa3eed', '4e25b5dc9ebfa114', '90e553fca69b877a', 'd7dc523ca1b67de7', 'b5fa1f8361071ae0', '0a0b1ce8a70f8c0c', '347f6d107e45db7a']; context = [[20, 61], [2, 35], [138, 177], [94, 127], [33, 63], [3, 37], [15, 50], [119, 150], [3, 38], [20, 49], [10, 47], [96, 132], [77, 107], [27, 58], [59, 88], [48, 79]]; loss = 0.016654 low_pass_filter = 0.300
+Epoch 0: | | 5649/? [59:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.000,train step 5650; scene = ['305c444f0ac84615', '560e435b0b0dbb7d', 'd537424645c19bac', '0b201ea37af17d70', '8719ddce7869b7dc', '2d46721788b06ab2', 'd2f75c23ae5bf23c', '6303e9b30a93ffd3', 'e38d64be980abb67', '39927608497beb17', '97dce5c8a9577172', '2ab54ca4d3ad7160', '0a664feb59d93727', '478e89781cb7fe3a', 'df73d45cbff76aa0', 'a18dd0c5e3726a71']; context = [[16, 56], [7, 38], [78, 112], [38, 76], [15, 49], [37, 73], [22, 54], [88, 128], [22, 57], [32, 69], [25, 64], [50, 87], [2, 31], [15, 54], [200, 239], [58, 99]]; loss = 0.013087 low_pass_filter = 0.300
+Epoch 0: | | 5659/? [59:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.000,train step 5660; scene = ['0cb1f4423c89e950', '9a97ec19a3bf5147', '51cbaa0fef55d570', 'ec59c25cd74e739a', 'e52679ac7b904c9a', 'd65738a227b2fcfd', 'a841b06e52f99e0d', 'b16d01b150c3363e', 'bdd49bcddc2a23ad', '520223a8d5c06ae2', '62654f4403fc326b', '65c4fbae3daf2d8e', '49b45aa23911e0f2', 'fcb56cad6e48c882', '7ec761021eb0028b', '16a7d92bd74000a1']; context = [[46, 85], [15, 46], [105, 135], [53, 92], [43, 78], [0, 34], [5, 46], [11, 41], [39, 76], [10, 51], [0, 30], [80, 117], [7, 42], [15, 52], [25, 56], [83, 114]]; loss = 0.017304 low_pass_filter = 0.300
+Epoch 0: | | 5669/? [59:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 5670; scene = ['9a5a417c708dcd2d', 'ed10d336c38397e6', 'c2cb4c6265e53e9c', '469365c17f61001a', '9af914baadaade0a', 'a10014993dc5cfce', '46bc953615be05fb', '6128a238af3743e4', 'd06a79cd2c84ed0b', '81637509e07d2f70', '63be9c98ca2453d5', '65f21b4e27c1e26c', '09e14846fbca0bde', 'c50f58adfa650ab6', 'b1dabee1febd0442', 'b04757cf619d9817']; context = [[61, 100], [6, 42], [6, 37], [27, 65], [95, 131], [0, 30], [34, 68], [19, 56], [31, 71], [135, 175], [56, 87], [28, 63], [8, 38], [149, 185], [117, 153], [4, 43]]; loss = 0.014834 low_pass_filter = 0.300
+Epoch 0: | | 5679/? [59:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.000,train step 5680; scene = ['e177bbea4b5ff3b8', '5c021289891283db', 'ad923f1df8199a76', 'a633cd79e6443aff', 'c3f3082c635d40a4', '854fcd5213c999b6', '37de1068a28bfc35', '13bd9deb32e731f5', '9c37503a20f8d6e9', 'a06b2802ca08da31', 'cc039d2dde109d6f', 'bef9ce6ff4d4f078', '6022d45204ed3bdc', '1a2dab689da1e13a', '0a7610d317d24b8a', '1ab0c0259d79431b']; context = [[82, 119], [154, 195], [26, 60], [14, 55], [2, 43], [14, 50], [131, 169], [15, 55], [116, 151], [10, 47], [24, 58], [0, 38], [60, 101], [10, 50], [69, 105], [69, 104]]; loss = 0.015824 low_pass_filter = 0.300
+Epoch 0: | | 5689/? [59:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.000,train step 5690; scene = ['c5461c555f448911', '8e200c435db6aa29', '44bdf4329253be0f', 'be8ec5059dcd84c7', 'efbb4fa57602a575', '2ab05c982fe556ba', '7255e59541aeec0b', '4599933ba9ddb585', '67144be03a04c9c9', 'f5e3b37b1b2b5f62', '860dadf8da924a9c', '5ee9b11a61c46984', 'afc173cc0972dd2b', 'e694c343f4b5bf59', '251b033c6bbb0256', '32701c869bd8dfb8']; context = [[3, 43], [0, 39], [38, 70], [39, 75], [90, 129], [173, 208], [117, 153], [26, 63], [27, 60], [68, 103], [0, 39], [124, 156], [40, 75], [153, 185], [185, 223], [70, 109]]; loss = 0.017588 low_pass_filter = 0.300
+Epoch 0: | | 5699/? [59:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.000,train step 5700; scene = ['2a96abc90ad886ab', '911a265079a18acb', '3972c396f9633677', '4da4e150132bda01', '967432dd07aeb2a4', 'dae1c4d44eac4294', '056cec68bdd62a02', 'b41375fbeec4b0d4', 'f39229faee053804', '6328887e79625528', 'c7c72c6e4590a874', '6320c5eab53b79e4', '12c1a317df1d9ecc', 'b61d2950c49d51f0', '43bb5f6926547aae', '4ad4a325af74fc67']; context = [[33, 69], [73, 104], [216, 246], [48, 84], [18, 58], [9, 44], [145, 177], [11, 51], [0, 30], [88, 124], [0, 33], [1, 41], [48, 83], [40, 78], [159, 198], [7, 48]]; loss = 0.016229 low_pass_filter = 0.300
+Epoch 0: | | 5709/? [59:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 5710; scene = ['f52ea4df10c6472b', 'f8b0d1e280daed5d', 'b4b4807fc6898e5e', '28921269daf6dc5a', 'b3574acd3997c5bb', 'c97d0f5fbaaf615d', '5fe433edd795adfb', '1160b234bca769f7', 'ee91e9f8cc43c212', '9776817798733916', '1d037447cfff7209', '1d5d2ff5c922e173', 'def6c462813743ea', 'c79300dcf820a440', 'fd7b3e3396405640', '86c67555e3f5eeac']; context = [[5, 43], [19, 57], [80, 117], [62, 94], [231, 268], [55, 87], [2, 36], [8, 43], [18, 55], [33, 70], [157, 191], [19, 51], [53, 86], [96, 136], [41, 73], [207, 247]]; loss = 0.013477 low_pass_filter = 0.300
+Epoch 0: | | 5719/? [1:00:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 5720; scene = ['b41d3898f57085e3', 'c38816ffe6b2c633', '5aad4a21ce37e53e', 'b0b54e44bbbb3aaa', 'f2814d17062330d1', 'cc4f72cb5178bd1d', '1ceb7b74d5713faf', 'd5cf929dba93e0ed', '6d1f4a1862468141', 'fbe2265ed5669a2a', 'acc6c20b665c730b', 'a6c74ca21a415525', '0a8e96b2e5945946', '06d407e4d8af8407', '90ae5b68ddc59938', 'c13c2d4b3e68a642']; context = [[5, 38], [106, 146], [6, 47], [10, 42], [47, 82], [69, 103], [7, 40], [76, 113], [95, 135], [15, 56], [10, 42], [27, 64], [29, 61], [16, 53], [36, 72], [61, 93]]; loss = 0.015260 low_pass_filter = 0.300
+Epoch 0: | | 5729/? [1:00:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 5730; scene = ['d58806419fb58a59', '57a8005cadd17369', '6fb3aa6a022b85e4', '63c3f51245b29666', 'b6f9cfe435a0fde7', '4986da6c3f01c2bb', 'e3ab34faf834f40f', 'f8e1dd1b4d8d2f01', 'c66734fadc2a7e5a', '9cd867f121e491ae', '1c3e848e9fd120da', '6662695dfbebb0f0', 'bb48e2d74b804b95', '6b6ecd758a2161af', 'b65da7000a104086', '9af973da0db34710']; context = [[47, 80], [5, 35], [36, 71], [38, 76], [0, 35], [88, 129], [47, 84], [21, 59], [0, 30], [19, 52], [14, 50], [19, 60], [97, 127], [98, 136], [10, 42], [5, 38]]; loss = 0.016133 low_pass_filter = 0.300
+Epoch 0: | | 5739/? [1:00:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 5740; scene = ['a0e4826e71332c71', 'cf93d34812c5075f', '8dbd26a529a8e1fe', '58658f7de57fcdf8', '24b36b96c868b758', '93739f7c17797663', 'ded696beba889e75', 'aa49c506f067e54d', 'e71374d746eca58d', '101c594f454bb757', '4ef9ea41d2491db2', 'f784de759ead407d', '554de88b345618cf', 'c291a0c34ee60b01', '0c8d65b305f7dec7', '2098543766877f2c']; context = [[44, 75], [82, 120], [73, 114], [44, 80], [30, 70], [14, 45], [52, 87], [37, 78], [38, 73], [27, 61], [7, 40], [38, 76], [52, 83], [133, 174], [8, 49], [76, 110]]; loss = 0.015087 low_pass_filter = 0.300
+Epoch 0: | | 5749/? [1:00:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 5750; scene = ['1b40e8f1f25b0e73', '6f314baef40789e0', '49fc667ff679205c', 'cfc5f9298ced6d9c', '69930f56840795cc', '5b6ffc1737e0b9d1', '8f669ff171c957d2', '732acd98ac4197e6', '3c3a350286d1a451', '4102c95a9026d0ee', '55bbd93d2b19cf59', '5f07e3aa7ddc5cfe', '122abb9fd46a2417', '9d3f195e8d854334', '94e0102a60f366a4', '4a5a0d1ff56b3465']; context = [[61, 97], [10, 51], [6, 41], [35, 74], [3, 33], [21, 60], [14, 47], [75, 108], [171, 205], [19, 52], [70, 106], [122, 156], [179, 216], [15, 50], [29, 69], [1, 41]]; loss = 0.015300 low_pass_filter = 0.300
+Epoch 0: | | 5759/? [1:00:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 5760; scene = ['97520407e981c28a', 'c41173a3b4eefcf7', '195eabfe437c8f75', '84425155e64a60a9', '6d0471242f13b0fb', 'bcce9c2792de0566', '3084ec9a9a0d2d96', '62319ed3333b356a', '219e3cd4f5998cc4', 'f413fced2b1ac299', '50c7129351609404', 'a4040de9d995b7de', 'dc41c0081c0366a6', '2c108a559dee1618', '82b8775b9a02685b', '21e2fa0645ea6c62']; context = [[111, 146], [9, 48], [28, 68], [32, 67], [51, 86], [23, 58], [5, 46], [14, 54], [27, 63], [37, 77], [2, 32], [55, 90], [90, 120], [13, 48], [105, 141], [149, 181]]; loss = 0.013561 low_pass_filter = 0.300
+Epoch 0: | | 5769/? [1:00:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 5770; scene = ['ac37853b6e863831', '63adaad8db509625', 'e04ee32fa034b810', 'b9ccb27eb017cf37', '5801bec837d69d67', '613c8fab1611af00', '813a6182d07785ae', '7f9e71aadf34587d', 'a9d0cd8dfee71c9f', '80c2ce56967f5f57', '32e25ca972554386', 'acf44c5a1f4c95af', '02b58a9c0d23dfa7', '961043c3b6f3d58e', '1c4394979d2a91b4', '251628bd898c68dd']; context = [[5, 38], [39, 69], [1, 40], [75, 105], [40, 74], [7, 46], [70, 108], [68, 101], [16, 51], [2, 32], [39, 77], [4, 35], [15, 55], [20, 51], [17, 58], [67, 97]]; loss = 0.013819 low_pass_filter = 0.300
+Epoch 0: | | 5779/? [1:00:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 5780; scene = ['3c5277bcd9e4ae27', '070b23aeeaf1abd9', '3ff1284c0953670b', 'e3fc0b8b215383cc', 'a97c604082cdee65', 'e5dac527233af340', 'f90651c977b3605c', '888983efc00a57e3', '011b329d573c7e0d', 'c41b8abbd6213916', 'de66d4e44fd1ceaf', '639eb7172a0e55d2', 'ec2d960467843e42', '037e58c3d1a382d9', '523c5b5644eba64c', 'ac65048ae7ab186c']; context = [[219, 253], [21, 59], [76, 115], [66, 105], [12, 52], [5, 43], [15, 54], [11, 42], [77, 117], [9, 46], [6, 40], [53, 91], [203, 235], [77, 117], [131, 170], [70, 105]]; loss = 0.014180 low_pass_filter = 0.300
+Epoch 0: | | 5789/? [1:00:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 5790; scene = ['7f7438bbf4ad4571', '9eee26334d6e7ce5', '33071a63b419262f', '7418f9d1559d7180', 'd9f1fce0fcd527d6', '629b76c446e7e1ff', 'e61c4e10dbb5f3ea', 'bef54ada81871b7a', 'f5ecf8999498edeb', '783ad88c8f9c4c7f', '3a93a5955496307c', 'f77be837dba5f992', '0bdc7f573090746b', 'cbf43526fd464b32', 'd3d44712e9d5a778', '2f82f0dbdd752d39']; context = [[34, 69], [54, 91], [24, 59], [22, 62], [51, 90], [54, 92], [25, 58], [24, 65], [1, 40], [48, 79], [3, 37], [2, 35], [40, 74], [46, 76], [8, 44], [166, 198]]; loss = 0.015835 low_pass_filter = 0.300
+Epoch 0: | | 5799/? [1:00:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 5800; scene = ['4c495f62172cfc2d', 'f476718eca867e7a', '87a3fc01a8481b01', 'd91f6e7263a2622e', '956b787fa6250691', '75c251fea8145421', '41fffc6d9d335b3e', '1c782a6280f77698', '709476c26a219c69', '72da2d7f756b1fd0', '669108f020ce9326', 'd0333dc4a7fe1439', '3e8a7a45047fc892', '69a74d6dff7e4ecb', '7668427812272ec8', 'c10d7356f8a3a3ab']; context = [[119, 150], [54, 86], [9, 39], [30, 71], [1, 31], [168, 204], [28, 62], [21, 54], [15, 50], [35, 65], [15, 56], [69, 99], [36, 67], [135, 176], [14, 47], [28, 58]]; loss = 0.013394 low_pass_filter = 0.300
+Epoch 0: | | 5809/? [1:00:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 5810; scene = ['314d09d3997725a7', '8d710ed2459af832', '3a568c79673737e6', '20d65cdc3bd801ab', 'dbd909b37336a7d4', '791ac120fcbc8e52', 'f01a535ea7d00bd9', 'd79997adf0e1abf9', '28d1ede0a9882172', '857c0388cfac577e', 'd3d453b065dca4d8', '91ea7e8b11190fdc', '8ae5170a979fba46', '02e1c042a514e0cb', 'bef13fccec3d60e0', '575979a8750fbd67']; context = [[130, 170], [14, 53], [24, 59], [31, 63], [26, 64], [39, 80], [29, 61], [19, 52], [4, 37], [0, 30], [29, 60], [57, 94], [0, 31], [24, 54], [44, 84], [98, 139]]; loss = 0.014481 low_pass_filter = 0.300
+Epoch 0: | | 5819/? [1:01:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 5820; scene = ['237a036ffe6be614', 'b440424ef1964ecc', 'ba3f2372b7959e95', '78c5c861417f0d20', '4bdb75340d42d415', '3baf335bfb54b9c0', '43cf6f225ba670fd', '96d6735c7b330543', '268ea1b094cf7133', 'fa8f4582220b67c3', '3188d7690207730f', 'a3de547580187314', '4f0ea940beba2dac', '9ae6eee1a169ab7e', '14c275162f918417', '0da029b610c57c2c']; context = [[38, 68], [21, 51], [41, 82], [4, 45], [14, 52], [25, 55], [42, 83], [71, 108], [93, 134], [85, 120], [1, 39], [144, 182], [21, 53], [31, 69], [62, 97], [112, 142]]; loss = 0.014873 low_pass_filter = 0.300
+Epoch 0: | | 5829/? [1:01:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 5830; scene = ['3d75646077c13ab1', '4b558439c3094357', '116fc4e6b30185de', 'c6f0f806223e490c', '0bf49ed081b75fb5', 'dd73a0c07b63406c', '09b5abace1293176', '4a06a35720fd46b8', '6090fcf28a1a3a43', 'c647a0fa8d97eb8a', '8944e2d266a03dc8', 'c27206d098fe6546', 'a679f322e22ef3a4', '21cdb061965f9b4b', '319f501207f10fa4', '0713aabe3917739d']; context = [[86, 124], [44, 74], [73, 104], [58, 89], [26, 60], [54, 89], [36, 75], [198, 231], [206, 242], [27, 65], [6, 37], [63, 94], [141, 182], [6, 46], [18, 58], [13, 53]]; loss = 0.014200 low_pass_filter = 0.300
+Epoch 0: | | 5839/? [1:01:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 5840; scene = ['f8f37ffd82d2c5f8', '05130df6d2f0bdab', '3b7748e944b78734', 'b1b8b3463309ac21', '69bc6841b60ccb31', 'a03386c1ccbca9ec', '65d2429b6e7f22f6', 'c7b726bf41c7363b', '902b883e64040f9d', '1503f70f0474756d', '52c4bb658d7e2c97', 'a379ab73e44fcde5', 'f86918b379c67b4a', '27f9f9c7ab8235ea', 'b40b16262771f2d6', '8edab48b06f54f71']; context = [[12, 48], [46, 82], [59, 96], [19, 59], [3, 39], [180, 219], [55, 87], [1, 36], [11, 52], [28, 65], [122, 163], [4, 35], [39, 75], [98, 138], [16, 56], [39, 70]]; loss = 0.020865 low_pass_filter = 0.300
+Epoch 0: | | 5849/? [1:01:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 5850; scene = ['844c3d41bb98e44b', '0dc38ba8923b3ee2', 'ed0af93543c3d48e', '8e2bea65336df1a1', '6faa8a388e0dd2a9', '2727fa34d2241ecc', '5df5b7738e92dce6', '21a783ae4c599ed2', 'ef8677a5404a270b', 'a0a6cc4af28f401b', 'f89dd1b50b7d853e', '178db7cc64cc5726', 'b4bde0068fe7af28', '23c47616110f2d44', 'a26a41da71dd633a', '113bfc07b50ce2d4']; context = [[36, 74], [206, 246], [89, 128], [119, 153], [63, 95], [54, 94], [122, 161], [8, 41], [83, 123], [42, 82], [34, 67], [5, 46], [30, 71], [27, 64], [154, 188], [60, 93]]; loss = 0.018385 low_pass_filter = 0.300
+Epoch 0: | | 5859/? [1:01:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 5860; scene = ['ee0a2a64579222e7', '8e8f419c0a3f575d', '02c4828c2f604701', '58d9100716253f0f', '74ccd7f499ff29c1', '95f77454a0125854', 'e32290ab3ad7c715', 'a89e2f1bc57991f3', '11a1b9420a2069bf', '6a3f9d9e01c9bda5', '1a00d4e8aa97867b', '18b72612d78e5800', '48c4a4758b86d309', '4d0ffa23690b31f5', 'ab85bf8652d24e47', '38aefbb5d74a6e40']; context = [[25, 59], [35, 70], [4, 37], [49, 79], [1, 37], [58, 95], [2, 40], [16, 57], [54, 85], [57, 97], [55, 94], [38, 79], [44, 81], [39, 70], [103, 140], [67, 100]]; loss = 0.012478 low_pass_filter = 0.300
+Epoch 0: | | 5869/? [1:01:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 5870; scene = ['53345f5cfe65a214', 'b8e21d629c0dc76b', '92971b350374bdb9', 'f1243209c64904cb', '093c78c8a4198bfd', '9bc08616571aaf44', '54cf901f43d77bb2', 'e2eabf4e6e9c8fff', 'c3bbcee94ab6ff1b', '26c1372d50e49c83', '7df242a9c4144216', 'd1f11ff6b25136a6', 'e5d56d435c2d43de', '0482887f7befdddf', 'd805fb46f3952987', '502c2d01977073ee']; context = [[2, 39], [43, 84], [26, 58], [64, 104], [100, 132], [3, 37], [21, 61], [27, 66], [7, 46], [127, 164], [0, 40], [50, 87], [5, 44], [58, 89], [75, 105], [79, 113]]; loss = 0.013383 low_pass_filter = 0.300
+Epoch 0: | | 5879/? [1:01:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 5880; scene = ['5c7e3e2104f8a0c7', '5e9846591aa4776c', '49218b72cb00eca4', '4c6cec64f5b2bdc2', '412e820ccb4c295b', '6090091e53c24455', 'e3a4f6384d59cebc', '446058ee14c34888', '2aacbb88b3a24147', '37d7c6279a740c7d', 'aab945aab8202b66', '604cb3a7c1671722', '2fb5b4aa03145fe7', 'd28b9fcb544a45e7', 'fd1fe9c1db9269d8', '5f84ce15c4658c52']; context = [[23, 56], [82, 123], [239, 277], [107, 137], [13, 46], [22, 59], [6, 46], [25, 55], [61, 97], [17, 49], [91, 121], [16, 47], [78, 114], [0, 30], [0, 34], [31, 61]]; loss = 0.013707 low_pass_filter = 0.300
+Epoch 0: | | 5889/? [1:01:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 5890; scene = ['ac6d4b5024a9dcf3', '179a0239d96572f3', '9d9ead84ece3713d', 'c582053fd69dfb7f', '3afb0da5fc318bf3', '70ad344d01754f5e', '2dd44952327b3a21', 'd1c056e2d8cfd5f4', '241bd5474acd5f90', 'a21760a19b54eced', '3194e3f0b055e8dc', '0a078b3668869105', '153822479adde39f', '7d57da90fe515efe', '079fd24bc8aa4e40', '0564460491c99b82']; context = [[25, 66], [33, 66], [160, 195], [11, 47], [60, 90], [75, 116], [68, 98], [39, 79], [8, 40], [11, 47], [9, 50], [162, 192], [3, 40], [48, 85], [20, 57], [87, 127]]; loss = 0.016426 low_pass_filter = 0.300
+Epoch 0: | | 5899/? [1:01:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 5900; scene = ['5ff238d3fbe7ea4f', '41bbcb5954a17c24', 'a24967a730ebc2fc', '6223b736736550fb', '7630cb2752ecf0a1', 'e12f8fd924b2ff2d', '7c6e11f01c36ad07', '25cc0fc657ec68dc', '8008f2d012c86037', '6712459dd798fb34', '19f106c5f56ad5e5', 'a8946be6bc32768a', 'd6dba7b939bd71e6', '54190bcf73f4eedf', '3b0773ad88f66cb8', '1f9d4ff0ee12db50']; context = [[14, 48], [198, 230], [1, 33], [103, 134], [32, 67], [153, 191], [60, 100], [176, 208], [30, 67], [36, 75], [24, 57], [29, 61], [70, 100], [48, 78], [2, 40], [185, 225]]; loss = 0.013543 low_pass_filter = 0.300
+Epoch 0: | | 5909/? [1:02:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 5910; scene = ['19da9f1eb7fd7deb', 'b74cd5e7dbf6f5a5', 'c82123c129f8fe06', '633cbde95abf1b3a', '861b8ed2af3e8dd6', '93cf8f78beba9be1', '82d5dae301e9b703', '459aa619d3066784', '9d1a2c7d14bb03a3', 'e9a6a38d1440dcb1', 'fd7330d4760ec59d', '904aa79c9222e00b', '01eb4536b5fd125d', '28e3babd7a75e8ad', '2ceff2ddf1fd748e', '30ffc95908cb9277']; context = [[9, 47], [39, 73], [45, 82], [63, 101], [97, 138], [116, 146], [27, 67], [1, 37], [137, 178], [27, 58], [145, 180], [33, 72], [60, 90], [227, 264], [74, 110], [30, 71]]; loss = 0.014528 low_pass_filter = 0.300
+Epoch 0: | | 5919/? [1:02:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 5920; scene = ['271aa75bc08d4865', 'ad1ea2448e201fde', '99781973423ad6f8', '7f724a91b84fff5b', 'bbfcd3d774e70b9d', '4a96f781e5a5b768', '7d7ee94b559dd5e3', 'ce583b2000bccf49', '5228b0e43b41274e', '9e81739f44494c01', 'fe8614f92636fb9d', 'f9da565a8d03319a', 'd7dbbb4217556149', '81a145b9b7d64d8b', '809588a559d93335', '08ce927b16a565d3']; context = [[72, 108], [77, 110], [12, 44], [62, 101], [123, 156], [3, 35], [10, 42], [38, 76], [123, 164], [25, 60], [65, 105], [29, 68], [38, 80], [33, 68], [30, 65], [30, 60]]; loss = 0.012357 low_pass_filter = 0.300
+Epoch 0: | | 5929/? [1:02:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 5930; scene = ['eb61796d301ac994', 'ec1093397856d8b5', 'a7fc6aa462302a2c', '870e5251fd3f3d09', 'bd44a785a7834b8f', 'b3907ac9c2f8d726', 'ad87f26a9b39df21', '39bfcbc1e302215b', '498bdddb71c66d35', 'da489f7391c40d9d', '7e42605b0a869d79', 'd840f6784d8d6e1e', '2c109499dbb258ac', '00a9f110ad222aa4', '0ab530d9a633759b', 'c385bb313dbdd58e']; context = [[203, 244], [8, 48], [20, 59], [56, 87], [32, 62], [64, 97], [218, 255], [5, 44], [79, 113], [6, 43], [63, 93], [7, 38], [45, 75], [35, 77], [21, 62], [86, 119]]; loss = 0.012387 low_pass_filter = 0.300
+Epoch 0: | | 5939/? [1:02:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.00train step 5940; scene = ['d1bd5b345a41d799', '2bc8b64aafc5870c', '2578cd7cec8068b4', 'a1d1c182d3b2ee90', 'c9266f8b6968ca51', '50641afd11ba76f8', '850fe18254e517b4', '4e80959d582914fa', 'e3b385876279e0fc', 'b6d6a1ec65fa5263', 'ab78b3eb64029b73', '0a2b30f8255c2a93', 'a81a0ce89e40201c', 'ffd0b677c1f36a7f', 'db95ce78ff912a33', '4f89eee3b3909e76']; context = [[34, 75], [247, 278], [82, 120], [39, 71], [6, 45], [72, 110], [52, 85], [37, 72], [58, 99], [23, 65], [113, 146], [1, 37], [23, 61], [53, 86], [3, 41], [72, 105]]; loss = 0.014740 low_pass_filter = 0.300
+Epoch 0: | | 5949/? [1:02:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 5950; scene = ['4f768e705a9c812b', '1fef55c7753f1cce', '437b5b7a2fe26b67', 'ef788a2216895f19', '0b95756523e57ef9', 'ccc6f234a0244d54', '3fec42c6570a70d0', '3a4a10a316270e72', 'ea720fd9e78aba6c', '8a3e2cbeedd91c29', '4ea1466c774138a3', 'd3aa865d26ebaa1a', '57c7523b07096917', 'd5fe718b561e0c6a', '5f29b6d60b37b94a', 'b5b8801fce3a8754']; context = [[16, 57], [176, 213], [166, 208], [20, 51], [22, 64], [4, 34], [215, 251], [2, 38], [19, 49], [59, 93], [50, 87], [172, 206], [31, 70], [13, 46], [96, 137], [15, 55]]; loss = 0.016536 low_pass_filter = 0.300
+Epoch 0: | | 5959/? [1:02:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 5960; scene = ['a030cd4e570342ae', 'fb1811494aacbccf', 'fe028bc21123c8f1', '9efb22be1a5ef87d', '6151271bcc5d7000', '4b771a59efd81edc', '355064d4b44f9edd', '108d91ce571ba456', '4a407d652733e0d3', '83957d8d384d982e', '1e17792917ae7f59', 'f3d553a61bb8c7de', 'edd9367813a4f0c2', 'cf5a9d93df10f156', '2a4284701926a108', '6cb26abcdbe1fb40']; context = [[14, 47], [45, 87], [12, 46], [31, 68], [160, 193], [73, 104], [25, 59], [1, 36], [27, 63], [65, 106], [6, 42], [54, 86], [41, 74], [22, 60], [101, 132], [46, 83]]; loss = 0.011875 low_pass_filter = 0.300
+Epoch 0: | | 5969/? [1:02:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 5970; scene = ['249212a791d29e33', 'eda8ecb45255919a', '081a0b0ff7cadc99', 'e3274a8a3c3d0d6e', 'd275f137216cb684', '6d1a20198b4c03bb', '2e397e7dedf39ea1', '52cd978541f17426', '1b2a331419e7e43d', '7e51438e8d6feedc', 'fda6de02b80cf549', 'd9aad93b7c670519', '41320ad766f5ee64', '7b90888923feb2d2', 'f53ba88600fc1d74', '57274cc3fac11cbd']; context = [[155, 188], [11, 44], [52, 85], [13, 45], [3, 33], [3, 34], [25, 59], [77, 107], [62, 99], [54, 87], [107, 148], [117, 159], [42, 82], [31, 72], [25, 64], [0, 33]]; loss = 0.019692 low_pass_filter = 0.300
+Epoch 0: | | 5979/? [1:02:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 5980; scene = ['6d1f4a1862468141', '90ae5b68ddc59938', '1ceb7b74d5713faf', 'd5cf929dba93e0ed', '06d407e4d8af8407', 'acc6c20b665c730b', 'a6c74ca21a415525', '6ca05333791746c6', 'f556938f650246ca', '15cf3ed7934403d8', 'b8bb5814af24dd69', 'c1b47e97d4900463', '220fa19b554d31e9', 'd6160bc8f7c485de', 'df984569c30f742d', '635a6bf8d8bdfb56']; context = [[94, 125], [8, 46], [175, 208], [2, 38], [22, 52], [22, 59], [52, 82], [92, 126], [27, 57], [39, 70], [0, 37], [102, 142], [22, 59], [21, 61], [50, 82], [0, 40]]; loss = 0.013143 low_pass_filter = 0.300
+Epoch 0: | | 5989/? [1:02:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.00train step 5990; scene = ['2840317723c97f2e', 'e0cd677c6327d758', 'b9d4445e5b8179a8', '6829cc07eb47cdea', '73133fcc576a07c1', 'fec1b08babd84253', '651c067fde1abb95', '30424882cc105c3f', '24f52069374690ec', '5d69ea23d051f39e', '583a75fc7dfc9646', 'cedc14f5a00e8684', '8f8e2d8cc64a1bfd', 'c8b3d5499b72fe01', '30d1ceea8fa75e51', '46f3117269dfdd6e']; context = [[54, 86], [18, 55], [10, 50], [85, 121], [21, 55], [10, 51], [34, 66], [105, 136], [5, 42], [17, 51], [14, 48], [9, 44], [83, 117], [32, 67], [12, 46], [104, 135]]; loss = 0.013964 low_pass_filter = 0.300
+Epoch 0: | | 5999/? [1:02:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 6000; scene = ['1b7c6d5b7c2da1c8', '8a063a94cfe50aa1', 'c772fa408dae9acb', '4370393c4130d397', 'c99ab9b0911f0d72', '6c31b1dc128b49d7', '2352dce87a236495', 'f824e9aae22d0369', '1906549d361a19e6', 'c3091f30c6054271', 'b5dfd6a33604ede4', 'd05469e324c0bc42', '4c167e89c379faed', '335cbc02c8b641d1', '46b932fc6f061d63', '0f3d070f4b358f54']; context = [[3, 37], [54, 84], [8, 38], [96, 137], [229, 269], [128, 164], [9, 47], [16, 51], [79, 116], [1, 36], [20, 59], [40, 74], [56, 96], [3, 39], [172, 210], [60, 96]]; loss = 0.012440 low_pass_filter = 0.300
+Epoch 0: | | 6000/? [1:02:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00validation step 6000; scene = ['45592a7f307bccd0']; context = [[8, 42]]
+Epoch 0: | | 6009/? [1:03:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 6010; scene = ['2fa547119e90e3ad', 'd800d4da5605b3d6', '0e8b514d885eb478', '175d43f942c9c852', '0f3f44567a7c25f1', '3a1891bd9fe7a52f', 'eee517a47a31c7a1', 'b072e8205ac13342', '083fdc63c7ae8725', '619b1245b43d3c0b', '372c4d0ffd33bce8', 'c8f4b0029355a6da', '733139b4b78dcc56', '5563e48230d4d2db', '6259806eeb1c5270', '8c0113b9faa62237']; context = [[0, 34], [35, 73], [18, 49], [24, 61], [24, 55], [1, 38], [24, 62], [9, 47], [3, 38], [124, 158], [86, 117], [34, 76], [0, 37], [22, 52], [14, 49], [23, 53]]; loss = 0.014898 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 6019/? [1:03:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 6020; scene = ['da3a15bb1c3fb690', '94fdc5c3dae6de01', 'dd4b43b1de7fd26d', '379ceee32c6d6868', 'a2c06b7195565fe8', 'c8b5a79114b9d356', '0c7109f0c724b646', 'eb7c7a3cabdebb09', '796f9cc544565921', 'a1569033155dc826', '54638ffc419fec69', '3e9b55a6888ea022', '421667feb0be923a', '72c9e010f8e37e8d', 'b85114255018b6f4', 'f7a547b8137293e1']; context = [[10, 40], [138, 174], [66, 104], [44, 82], [16, 51], [15, 47], [10, 44], [78, 120], [21, 52], [85, 121], [112, 143], [113, 151], [25, 57], [76, 115], [42, 75], [12, 43]]; loss = 0.016508 low_pass_filter = 0.300
+Epoch 0: | | 6029/? [1:03:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 6030; scene = ['c24c3c54d1476a92', '7255cd64649fada4', '4f4163ffeab1b5c1', 'b2f45bfd5a0668b0', '98f893c44aa4d5ce', '1ef466c2f5e9397c', 'e5dcdb85ebdce1e8', '5e133cf4f2e3ea73', 'c24a7025a5737a3c', 'e296c62a58919a9d', '658211c325be8044', '32664782d26fd2e1', '7b81bc0960e1ac22', '438335834436a7ec', 'dad3dca3074b8196', 'e8b1649721a72c05']; context = [[115, 151], [31, 73], [179, 221], [48, 83], [51, 84], [7, 48], [40, 73], [50, 85], [50, 86], [48, 84], [37, 72], [85, 118], [2, 37], [191, 227], [42, 81], [30, 66]]; loss = 0.016817 low_pass_filter = 0.300
+Epoch 0: | | 6039/? [1:03:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.00train step 6040; scene = ['b3259b93d42302e4', '2ca282700e445fed', '0de22e4f66f408e2', 'e2cf4585a4231b06', '02974a46356730d0', '68f5ab96d4cb103f', 'e9f4aac949620b61', '21f480a187d23bc0', '41f181e519445674', 'e6f7b434df9bfccc', '30ef5f553648df47', 'ec680845c6a7295c', '6aee2575a2c97d19', '902098b9bb42414b', 'b32de1c311763e38', '1de9cd4f82ee4ea3']; context = [[59, 100], [7, 43], [100, 137], [163, 202], [67, 102], [166, 199], [123, 156], [41, 78], [0, 30], [68, 100], [11, 45], [9, 50], [155, 188], [44, 76], [28, 70], [149, 185]]; loss = 0.013118 low_pass_filter = 0.300
+Epoch 0: | | 6049/? [1:03:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.00train step 6050; scene = ['7ce91d458153b048', 'a39ab876cafedf5d', 'f3c9b744a3ec8d81', '496622bf4d081e09', 'b27be52aa4b2b9ce', 'b937cda3baf53a54', '93db39179afa7a61', '7b0d66794e39e197', '9b3cacb4cb2b93ac', '068f6f8c6b7b2355', '8623fdc830966309', '81b43ebc03c4ddcd', '3d6ab83c95110138', 'db1e9e416dfa5072', '1ca872d2a471e505', '63c7787e14dbede3']; context = [[101, 141], [57, 97], [120, 161], [65, 100], [94, 131], [112, 142], [30, 68], [55, 94], [93, 132], [218, 248], [19, 51], [43, 73], [34, 68], [32, 72], [2, 35], [16, 51]]; loss = 0.014486 low_pass_filter = 0.300
+Epoch 0: | | 6059/? [1:03:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 6060; scene = ['6d712bf86b1bb79f', '552c35c6d99b5e62', 'ade8a86455248182', 'fa04057a58669ca0', 'e29e8b055b6fba61', '82c1c8656f684b1f', 'b40f06c515e0e91f', 'd95cd751ef6f4bc5', 'c836ef7d904d5d24', '7de728b1808bf321', '6cb4ac9555d8dfb2', '65ec962651b85a4a', '459769ea9bf3d783', '2cd3fc4ad8daeba7', '0c9eb9638aa20481', '15a53ffb8b43d9ef']; context = [[19, 59], [159, 195], [66, 100], [24, 61], [19, 57], [0, 41], [0, 32], [34, 76], [94, 124], [0, 30], [10, 40], [21, 52], [41, 73], [74, 107], [37, 74], [12, 45]]; loss = 0.015990 low_pass_filter = 0.300
+Epoch 0: | | 6069/? [1:03:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 6070; scene = ['1cd67890a4985410', '9a132482447cd6f4', 'd94ea379a583aa70', '1937c583529b338e', 'dd5bc6ccfdb3c5f0', '7eb0dffcddc1722c', '67aefd878839c2c0', '5e31e0691d426537', '2ce027a92d32284a', '1b053fb18db58990', 'd83bddcbe16272fc', '11ac6e3e1ff6f5b3', 'c6cb7394690cc9e0', '6c450e26a09407a4', 'fb0040c94bea2a4d', '8708a0e8c937038f']; context = [[19, 61], [94, 126], [17, 56], [15, 47], [41, 72], [135, 169], [87, 123], [39, 70], [32, 62], [94, 135], [99, 136], [28, 70], [13, 52], [124, 160], [26, 62], [1, 42]]; loss = 0.013213 low_pass_filter = 0.300
+Epoch 0: | | 6079/? [1:03:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 6080; scene = ['2d4c30b09d034a7a', 'aa9c5c567469ac79', 'e40f26464b169812', '01b87dfcebff88ce', '5939bfa23de48277', '7e59c9a4c9578664', 'e5f29c78e4174987', '7ce060e72f1a3284', '6e2f7fc8893d45f8', '6ccd077184232246', 'e9d56ecc73549f5b', 'ccac607e2f21c9d1', '34a017b25a3c6959', 'de6a73a44fec7624', 'a15ff3b8bcd1e520', 'cc7039fcb37807af']; context = [[17, 50], [81, 112], [12, 42], [51, 92], [82, 114], [133, 172], [0, 34], [22, 62], [6, 48], [64, 94], [86, 123], [227, 262], [35, 73], [2, 36], [5, 37], [39, 69]]; loss = 0.012315 low_pass_filter = 0.300
+Epoch 0: | | 6089/? [1:03:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 6090; scene = ['466dfe0dc6d6a534', 'f25aed34a7d73d42', 'e2d1cc068000b822', 'f39bd5e1f3cbd779', '61ef38380e8172c7', '985d47b414d1d89e', 'e7fb10915763edec', 'c2b773fa40ec2b87', '7f327e27777fa3c7', '7fe2186312264e91', '7fa4809bdfd35816', '608762383cb18f31', 'd36c05d8dfdb5427', '08f98176632653a3', '5d1b31a536066162', '7bba3bb371d731e1']; context = [[12, 50], [165, 196], [65, 102], [10, 45], [71, 101], [8, 48], [125, 166], [61, 102], [138, 168], [43, 82], [1, 37], [1, 35], [232, 269], [44, 84], [34, 72], [64, 95]]; loss = 0.015399 low_pass_filter = 0.300
+Epoch 0: | | 6099/? [1:04:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 6100; scene = ['3f13ac8d5f0db195', '41b957835a1e5631', 'ea8358aa959c7b88', 'e76eee95e9e5747f', '9b4e9736b11aad1a', 'd1fb2417deb8371d', '27c316947cc616b5', 'b15ab42715e8e5c3', '45fd872cdda628c8', '4e24bdd6f23afefe', 'a503344a0808e68f', 'c135de062e440f90', '4988d7e7487387ab', '34706332e0a4aeff', '0bec7887227e806b', 'ed8f111fe1e568df']; context = [[17, 47], [8, 50], [91, 125], [7, 49], [83, 119], [26, 56], [33, 70], [156, 193], [120, 150], [29, 65], [6, 43], [24, 63], [192, 225], [6, 44], [6, 40], [109, 148]]; loss = 0.014303 low_pass_filter = 0.300
+Epoch 0: | | 6109/? [1:04:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 6110; scene = ['b1a1f230d848de42', '5c5a7570251e95e8', 'b56846e62821a692', 'f1ac0dde0dbf8211', '7671960ab3e573fd', '622ab7cc0a735367', '9c84735e520d9928', 'e9bce0235b64b452', '4760844c0baec9fb', 'ebb69f1382aeeaeb', '4291eb01c594fcb2', '77d1f14fbdc4c65e', 'e00923b588e1ca61', '38f562fb2b2ad4e0', 'c51e726f22c1b2da', '47c9630112006011']; context = [[105, 141], [35, 65], [238, 271], [61, 92], [78, 120], [62, 99], [46, 85], [59, 91], [78, 111], [17, 50], [8, 40], [96, 135], [162, 196], [2, 42], [16, 52], [7, 41]]; loss = 0.015435 low_pass_filter = 0.300
+Epoch 0: | | 6119/? [1:04:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 6120; scene = ['07bc4cb64b7978c2', '00168ec12dda389c', '485d1c95729aa606', '8aacbb4c1ff41b76', 'b0eadaebe0c28aa7', '74b16aedb01f395c', 'fdce883f5cc3e5cc', 'a4af68cb01bc3f07', '6b6931797480dfdf', '7fd5e42cff5b3e8d', '516961401bb697f4', '89e4283e3dfbd3ea', 'b147dd44e4036a56', '53afa9dd72762bc9', '454e22f993652a19', '5d43b9855e67ae73']; context = [[3, 34], [188, 221], [45, 84], [101, 137], [9, 51], [92, 129], [8, 44], [30, 70], [97, 131], [120, 150], [43, 76], [223, 255], [89, 129], [28, 69], [9, 48], [19, 53]]; loss = 0.014818 low_pass_filter = 0.300
+Epoch 0: | | 6129/? [1:04:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 6130; scene = ['1db475f4ca95b933', '4cd9adcbfdce1f77', 'ff4f097ca6d6df92', '2e1c44ebac2f1894', 'cca90babf697612e', '459f8eeea2c51be9', '67c2fd0b40160790', '257afa86bc6a8690', 'de891429c0a521b2', '46abbc7e39a5c1ce', 'e1a8a1bab3e76e01', 'ee57aa9dae00cb90', 'e1d47f5f90635f49', '9442d70c639d0ddf', 'd1c1ab92eeb4ce98', '7cbb043a4ec3cedd']; context = [[169, 206], [75, 114], [68, 101], [13, 55], [16, 47], [22, 62], [72, 105], [1, 33], [5, 45], [42, 72], [4, 45], [83, 118], [21, 56], [46, 88], [72, 112], [69, 104]]; loss = 0.016734 low_pass_filter = 0.300
+Epoch 0: | | 6139/? [1:04:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 6140; scene = ['d6590efad5308453', 'b88b281f64f2c095', 'ea812ede5413afde', '2e7b824b08d94fee', 'ac5dbf1f0fb8aac3', '6b4e967ca81ba41a', '1dc2b147a439848d', 'acf3fd0109a040b1', 'e3004ab618aa0b49', '728091edce9e3d54', '95730fb4e578a66e', '2b03daae55bca39c', '24397127377dbd81', 'd2a67d5d2d55a04f', '669a73d1c2d378f3', '464c4320ae4c4834']; context = [[140, 173], [28, 65], [72, 102], [54, 84], [55, 95], [39, 70], [129, 167], [29, 68], [118, 156], [8, 43], [105, 138], [139, 171], [51, 92], [8, 38], [31, 67], [156, 193]]; loss = 0.016212 low_pass_filter = 0.300
+Epoch 0: | | 6149/? [1:04:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 6150; scene = ['8c4e0111b36af46d', '7715e2b33306ae7c', 'adb159b1165df8ff', 'e4e10e6b388f3a91', '8f17b5780b30ab5a', 'fe5c3e12d699d77f', '0524d3d2e823ed7e', 'f9eb323d5f901122', '36ecd2c090551e5b', '26701072b1591699', 'aace48697cb07a11', '4e45c9526d78ef72', '2b03b18b7d2d3a98', 'ff302ea5bc2cabdc', 'beb770324d0f9760', 'd53bea12fd3fb6b0']; context = [[32, 64], [211, 241], [15, 51], [60, 95], [15, 51], [52, 82], [44, 75], [29, 70], [112, 154], [16, 55], [20, 57], [32, 66], [17, 47], [11, 49], [12, 42], [45, 85]]; loss = 0.014920 low_pass_filter = 0.300
+Epoch 0: | | 6159/? [1:04:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.00train step 6160; scene = ['148537ca7721ce60', '364728f057fe0216', '4d3d250d83adc2a8', 'e842229e024ea4b6', '0d7d967d54714672', 'e12794d33944d104', '1fc4fecfaac59829', '4851fa48e250c7a9', 'aea85ab6f7b1ef63', '82b3148fbfdcf4ec', '206553caeb36aac8', '61bc8e93d46d612e', '45c5ad73b5a67b95', '2377d1ff1f1b7f23', 'c4683228d9e80db9', '3b1dc593c60e05b1']; context = [[31, 66], [14, 53], [20, 53], [3, 45], [28, 65], [6, 39], [6, 42], [3, 43], [4, 44], [4, 44], [28, 66], [18, 53], [4, 35], [36, 66], [40, 71], [73, 114]]; loss = 0.013882 low_pass_filter = 0.300
+Epoch 0: | | 6169/? [1:04:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 6170; scene = ['de18f2282a2a400c', 'ea3a3e520788f50e', 'ec59880318520597', '63bbba3201fdf639', 'fb7e0f224b80dc03', 'c0ccfd9f8ced2dbe', 'a82f10b51de52134', 'eea86f4da84f3536', '6508be939287be7b', '950f50eb20e0b656', 'd35afad3a17dab29', 'cb50e3f81a11d354', '666b2827c462960e', '5e2b1aa39fa873cb', 'a88613da966106ca', 'c047664405f15873']; context = [[127, 169], [12, 47], [22, 62], [25, 62], [10, 42], [144, 175], [0, 36], [33, 67], [2, 35], [46, 80], [64, 95], [0, 36], [56, 87], [5, 42], [67, 99], [1, 32]]; loss = 0.019628 low_pass_filter = 0.300
+Epoch 0: | | 6179/? [1:04:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 6180; scene = ['9157ddf2dd3a3b14', '833ec6e8e97f90ee', '9fc4a42f8174b2f3', 'a794d5115c3b5ebd', '37e207ed69726104', 'a521e111454639a6', '316e338bfa97f75c', '88a20a3975340b93', 'eaf92f56c0123486', '0525f00d5105a059', 'e4d35d84dc2ae70f', 'caa897975dd25dc7', '26288836b4fcfe1a', '5310406b3fa1022f', '204b82c216ba2828', 'e848c905d9fafcac']; context = [[20, 57], [20, 56], [89, 130], [28, 70], [33, 65], [48, 79], [115, 157], [0, 30], [89, 125], [134, 171], [6, 44], [1, 37], [39, 71], [43, 83], [37, 79], [31, 63]]; loss = 0.013696 low_pass_filter = 0.300
+Epoch 0: | | 6189/? [1:04:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 6190; scene = ['f255cb2332e122e3', '6a78d996225de1c3', '7f3934616f1c9363', '544e77435d838365', '1cb8398179c221af', '938575728d10782b', '110a61dc41dc6ff5', '564c91ec1a27b1b0', '0eb89527bbff40fd', '62bd0e8d94a12e6f', '9e2a461552595de2', '182a5e4709aa879f', '1aa700afb85ed61a', '5bf2fd14f29ae8b8', 'c44c6edca105e847', '868f5fe546fcce41']; context = [[17, 57], [97, 139], [7, 47], [41, 81], [85, 117], [19, 56], [8, 43], [97, 135], [33, 69], [37, 78], [61, 103], [0, 36], [113, 154], [46, 79], [76, 106], [31, 64]]; loss = 0.016092 low_pass_filter = 0.300
+Epoch 0: | | 6199/? [1:05:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 6200; scene = ['f99640d38891e746', '164bfbcf3c843542', '533bb7185fd2572d', 'b25963fb28a6fd6a', '88f602169e8e43e5', '507dda4c1b722c23', 'c25ab122990f262b', 'e980c8512e9478cb', '5f0d7d76e4b7fcc9', '01669ff74c56d315', '604fce37011c3594', 'b49d675a0700b06a', '05344c9f9a99d08a', '3e1feff79d244282', '328725c19b7c8095', 'ace3d3989b9ff0f8']; context = [[108, 142], [217, 255], [206, 246], [2, 43], [170, 205], [30, 72], [82, 118], [7, 44], [23, 60], [25, 62], [37, 74], [54, 88], [62, 95], [74, 116], [7, 37], [54, 86]]; loss = 0.012390 low_pass_filter = 0.300
+Epoch 0: | | 6209/? [1:05:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 6210; scene = ['f6524ab7935064b1', 'd2a160a0c95c5a3c', '45253de99a5c8714', '5567dda0eb061dd7', 'c79c50b706239924', 'a0846eb1c9a514af', 'cc2a04f5173a1037', 'fbc9e1286569052f', 'fb7b841583db818a', 'b4f1e78ec56bbfaa', '024d43f3e2200d02', 'd6e17ca4f4f8b6a8', '48cb4cd6d8304166', 'c3d3e599f5b98ec4', 'e610b6e1446a770d', 'bc6fdf7fa5a3cd08']; context = [[24, 62], [34, 74], [83, 114], [14, 52], [0, 37], [137, 167], [12, 46], [2, 42], [163, 198], [5, 35], [27, 59], [1, 37], [6, 39], [11, 51], [87, 129], [46, 85]]; loss = 0.012929 low_pass_filter = 0.300
+Epoch 0: | | 6219/? [1:05:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 6220; scene = ['b35e0539c10c322f', '283d19ff3706f2b9', '0d8c69adcd0525c6', '66a0773e8692d764', 'fe53ed83c38418f9', 'e897fa320992d3ab', '663665eaf88769fc', 'f7935d19de185b43', '452ff9a3d7425308', 'f8d7d5f83350ba50', 'd7f2d82f83e70693', '98f7a067bbb96008', '51d68b77c408e914', 'd12ccb9176baca06', 'de3ccf8d3c418bef', '807a812350f25893']; context = [[38, 70], [14, 49], [20, 60], [13, 45], [51, 85], [36, 78], [39, 80], [53, 87], [28, 59], [238, 278], [130, 170], [16, 48], [64, 105], [2, 34], [1, 32], [95, 133]]; loss = 0.014479 low_pass_filter = 0.300
+Epoch 0: | | 6229/? [1:05:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 6230; scene = ['fb5e66953fc0c386', 'b22a3aa8e6cb171e', 'c16b6e3b423ce5d6', 'b502bd167daa76ab', '61a85172875442b9', '785a7940eb4128f6', '264bf96b50afd55a', '42bc92ec4041074e', '5fbb1f29aa71cc68', '007bd32591b43f68', '0752723a52571176', '25ae7a0a6fcec8b2', 'dda471b62b038c59', '3791be3a2105d020', 'd278d557cf972e9d', 'cc9c55269b3a1e20']; context = [[0, 36], [68, 101], [21, 62], [26, 60], [41, 77], [121, 160], [30, 60], [30, 68], [3, 43], [131, 168], [75, 110], [3, 45], [45, 83], [30, 67], [115, 153], [131, 167]]; loss = 0.014465 low_pass_filter = 0.300
+Epoch 0: | | 6239/? [1:05:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 6240; scene = ['c96e9925624ada42', '229fba45626acb41', '2c44579a8bd9c108', '95db38a93027169e', 'a43dcebff84ddba2', 'e387d728f48e76d3', 'ee3efd092ac5bbff', 'adc86f688406a0a7', '14c16421c2e6fe49', '43c9d7c59de8b895', '86238485ae316522', 'af252cc74ed0ae4c', 'e8f861465ba60d8e', 'c6f898024324352c', '7816d1ccf7f11523', 'cc71ef1d3925caa8']; context = [[40, 72], [22, 60], [16, 52], [188, 219], [204, 239], [129, 163], [59, 91], [36, 74], [5, 37], [28, 65], [24, 56], [19, 55], [59, 95], [40, 74], [35, 70], [0, 39]]; loss = 0.013778 low_pass_filter = 0.300
+Epoch 0: | | 6249/? [1:05:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 6250; scene = ['48617a7574be5d9f', 'e83729b641130714', 'e24da62a15bd2109', 'd4dd072c78e9f960', 'fd0709b44a1b7aef', 'a7920603008060b1', '93540f32961cf023', '2263c3402becad0f', '1d6ad87563cd4ca0', 'b8a6856223d747d1', '0760a2a0492ef091', '9adec8c032fcd83f', '74c52f40a18abe89', 'fe8bff5ab1ce6145', 'eb47853e5d196bac', 'b559a169a37a3e2d']; context = [[59, 98], [20, 58], [47, 78], [8, 49], [41, 81], [14, 45], [15, 56], [1, 40], [59, 91], [101, 137], [63, 95], [184, 219], [31, 64], [31, 61], [45, 75], [13, 52]]; loss = 0.012979 low_pass_filter = 0.300
+Epoch 0: | | 6259/? [1:05:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 6260; scene = ['b996287cfb9598a8', '2d8b785151360d84', 'da6d98c34fe8c66f', 'b777dc3fc2dcc439', '4f7ab72279a57984', '7c7f34a2e46e7cef', '6a1e7b4a0706a5c1', '02bfbd3c55d5884c', '7b8e965c2501d7b0', '2235fe0f5116af0d', '3793382d10fb5de1', '436cf64ba0827272', '266e25d2ef565ac4', '61d2fa87a0e9d621', '1e793ddcca585feb', 'af2dd5d2c542677d']; context = [[143, 183], [48, 89], [14, 54], [23, 58], [41, 81], [222, 256], [71, 111], [3, 36], [77, 109], [62, 97], [84, 118], [13, 51], [194, 229], [40, 71], [123, 154], [22, 61]]; loss = 0.015620 low_pass_filter = 0.300
+Epoch 0: | | 6269/? [1:05:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 6270; scene = ['476081f1477b4542', '6f6897a5825cb0ba', 'a814d663d6af2674', '6e3b71d7ff24f81c', 'eba3604d6d93cf24', 'e1070e8e8fe9d84c', '053a8ffc1fecb90f', 'e791f0a53b27bbd5', '34ee4b7e062656b6', '3280ed16aa8bb96c', '3f32a9e82d3e1bf0', 'db7ab4ff7d59a066', '90d558cf6e28e118', 'dff49a02b469a780', '26088dbd45a7aa54', '30c4e4e000f6e116']; context = [[7, 49], [41, 76], [61, 103], [39, 72], [28, 62], [98, 137], [88, 122], [41, 73], [23, 56], [37, 79], [7, 41], [36, 70], [26, 65], [13, 47], [9, 39], [131, 174]]; loss = 0.013424 low_pass_filter = 0.300
+Epoch 0: | | 6279/? [1:05:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 6280; scene = ['18c387ae52ec7b2b', '38f50a03d51f7cd4', 'd3b36dc75c49581b', '88b5b447fb771765', '74eba9be56fdee5e', 'b4e91f9bcd03f6c7', '422d47a9332c1b0e', 'fd57854f46eb713c', 'c1eb42eaca122213', 'ca4164dfe1450d8a', 'e4abf77ec25cb0e0', '2c422475ffbecc08', 'fd7dedf57981ee4b', '4a16094a5acde070', '9edc0db730693fee', 'f0f42a1310d9a5a7']; context = [[11, 45], [87, 118], [4, 38], [17, 57], [11, 49], [53, 86], [52, 88], [3, 34], [119, 157], [3, 40], [40, 75], [32, 72], [8, 43], [183, 218], [130, 164], [18, 52]]; loss = 0.012277 low_pass_filter = 0.300
+Epoch 0: | | 6289/? [1:05:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 6290; scene = ['c1432ad50b513b5c', 'e41818c1a640f355', '176f7bab982f3aa4', '16e752a0b2952804', 'de5195b1d4b5e650', '3670ced044c09f1c', '2557e8ffee5d8984', 'ca02713a8a0de9ea', 'd0e490fdc0118993', '4499414ba3d20eb8', '6c8cd35a8c38bf5d', '77fe46c40c0ae2a1', '37311e860b1ef72c', '5d3009a73d9e67e1', 'd124c652f15dd5dc', 'd50b4d4c514705ec']; context = [[34, 69], [152, 193], [64, 97], [188, 221], [178, 221], [8, 38], [53, 90], [67, 97], [34, 67], [11, 49], [9, 41], [29, 61], [193, 236], [31, 62], [36, 77], [84, 122]]; loss = 0.011608 low_pass_filter = 0.300
+Epoch 0: | | 6299/? [1:06:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 6300; scene = ['b5e61c43daaee8a7', 'e8d513561d262165', '367e3d276d522257', 'a607e9d14c4669ff', 'dcb5b9c600bb39fc', '6e79eabe83c57742', '6024a890ccc180d0', '8e5392e480708fbe', '9c57622905e0c86a', 'b7cec90a1bec3325', 'e2df128a869d2f9f', '5c09c68616a3d4c8', 'b048a07176600b84', 'cf67c763fe477641', '9f32020587d2bd9e', '5890c0ccff18b1cb']; context = [[73, 112], [11, 49], [4, 45], [107, 140], [38, 69], [43, 76], [9, 43], [29, 59], [97, 135], [47, 88], [70, 112], [0, 35], [31, 74], [29, 69], [5, 45], [19, 61]]; loss = 0.013024 low_pass_filter = 0.300
+Epoch 0: | | 6309/? [1:06:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 6310; scene = ['0ada6fc4284b7559', '2d05c89759d6f1c9', 'cb155c027de7a145', 'd110e65023ed8364', '342099a48847f4f6', '84f60ca2323e9654', '38a6a1ac5db4c9ca', '6d51b12343179f02', '7d9fc989aa9c6149', '042ddfb169d6bbdb', '6ea0ff32c8ea695c', '4e1c106e3effe9bc', 'cc2226bd7f8faab6', 'db7c001b56cc58f9', '7cc44300198ebab6', '4834d0f3d7b08173']; context = [[131, 168], [121, 157], [110, 148], [33, 65], [91, 125], [13, 52], [45, 77], [13, 49], [28, 59], [19, 58], [25, 66], [113, 156], [22, 62], [17, 52], [33, 63], [144, 181]]; loss = 0.013700 low_pass_filter = 0.300
+Epoch 0: | | 6319/? [1:06:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 6320; scene = ['7ed803931e2b7125', 'd20bd318d76a2570', '7d1f1a0e18d49747', '08eba97ab70a53b9', '675f6247a673b21a', 'b05956f4d856f617', '631fadaea18e58bb', 'c87449940235f48e', 'c51f822be909372b', '6776654a549bc238', '0179a441837af0b9', 'ebd8b74b0fd45d82', 'b20a4bb379340290', 'f467ebdc9fa46707', '177b664f6c8eef6b', '117d1c9fd462963b']; context = [[2, 34], [4, 34], [5, 45], [80, 117], [31, 67], [62, 92], [3, 43], [198, 240], [194, 225], [124, 167], [98, 130], [16, 58], [26, 61], [184, 214], [4, 45], [6, 43]]; loss = 0.015350 low_pass_filter = 0.300
+Epoch 0: | | 6329/? [1:06:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 6330; scene = ['a96db9876e0adb51', '98d9eedc5a457ed2', '883e140a4e364095', '0ca70686912ebe5d', 'a9770c180d6d6f1a', 'aba0cdcdab29f62a', '52af2157aae6b6de', '83ee8361a9234bf3', '8482fe1c0102a9b0', '566719d1763da28c', 'f3ae6e138a71764a', '31b486f1299dbc45', 'd5c541bc1261c5eb', '00611063bacaa167', 'e30d993fa7695b3c', '02880bd3817885e9']; context = [[57, 93], [53, 83], [2, 40], [40, 77], [187, 218], [57, 88], [28, 69], [0, 41], [18, 61], [106, 139], [48, 89], [100, 137], [184, 220], [33, 67], [20, 53], [14, 53]]; loss = 0.016344 low_pass_filter = 0.300
+Epoch 0: | | 6339/? [1:06:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 6340; scene = ['e6b7f501833c99b1', 'dc97cad06b3c4678', 'fdea1872c7b215b1', '07fe2c759ad400b4', '86128cf3be774ec0', 'f1e4d38ab85c6e13', '8ec67d702c351f13', 'd4e41a424a3f8cba', 'c34879e03b346e29', 'e1ff5262951d06fe', '13c6f9f2297e1c2b', 'd39364131f0f9dc5', '5c288cfde1fe825f', '3c324cb6c1167cce', 'ede896927ea91dd6', '6255ad81d69d712a']; context = [[30, 60], [136, 179], [11, 44], [10, 51], [73, 106], [1, 39], [62, 95], [14, 49], [18, 59], [13, 45], [233, 273], [14, 44], [102, 141], [41, 84], [108, 150], [11, 49]]; loss = 0.013267 low_pass_filter = 0.300
+Epoch 0: | | 6349/? [1:06:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.00train step 6350; scene = ['19bbea9cd53e2900', 'b3bdd93444967e32', '38701953a4bda3e8', '3dc16d11b753e652', 'cfd49a8723e2f1eb', '7b86053e49f7f783', '7ad8fd93e67cf7b6', 'da047aebfa3fa3e2', 'bffd28466912a768', 'e910143115e8ed0a', '92521846f436b2c1', 'b612e989a2406b4b', '641609080bcd49b0', '25e9ed466c1826e3', '32e25ca972554386', '0dbc9a3f0f1ddfb5']; context = [[176, 209], [23, 56], [5, 40], [125, 155], [157, 192], [33, 64], [44, 81], [0, 32], [19, 59], [7, 42], [1, 38], [42, 72], [121, 158], [31, 63], [199, 238], [53, 87]]; loss = 0.013519 low_pass_filter = 0.300
+Epoch 0: | | 6359/? [1:06:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 6360; scene = ['7efc8e58de522f3d', '818568626b418b90', 'f63e8858ae11bef5', 'f991cb5454e35950', '69191f26c8ecb690', 'a73adc456c696488', '097a068e47a7ae49', '22d5fc12e2b97512', 'f54afaa529791d38', '77222339f20463db', '9e3a0e80ccce007a', 'c554cbf54f3649c7', 'ba604b97e3b89111', 'b7c906a0a3d5a9be', 'f37cdacbcf6c08b1', '5ec3fb8cde184b21']; context = [[25, 67], [11, 54], [69, 109], [1, 32], [43, 81], [7, 38], [0, 31], [37, 75], [176, 208], [7, 45], [26, 63], [47, 85], [32, 65], [95, 127], [7, 39], [32, 69]]; loss = 0.016672 low_pass_filter = 0.300
+Epoch 0: | | 6369/? [1:06:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 6370; scene = ['ad10e1f4f1c67e4f', '4318b7c4cab511be', '1648401b99f56c6f', 'c455ad56b54ebf33', '3371673f5019416a', '2048a925828db781', '37ca0025deca4413', '00e3ca22a19234c6', '17ceb953ebcd73a3', '863db1233b424c9e', '6f4556580ebf03b3', '66ba152202c69c50', '8f937b1a518a93b5', '802a12778b971a57', '21f64bf7602a82bc', '9506a622c097b935']; context = [[25, 62], [243, 275], [44, 79], [79, 109], [148, 188], [13, 48], [0, 34], [75, 108], [81, 114], [1, 35], [36, 78], [184, 214], [17, 54], [1, 34], [114, 157], [1, 39]]; loss = 0.013141 low_pass_filter = 0.300
+Epoch 0: | | 6379/? [1:06:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 6380; scene = ['21f64bf7602a82bc', 'a54ea7b6debf7081', 'b6b44c750caa7b99', '302779f6557dd94a', '802a12778b971a57', 'ca50f6571f20806b', '06c5611fcca47ff5', '78d69f9c08dffebd', '3f47b80fc3805235', 'f322a0951e62a512', '50e49715ebce4977', '585e0ef0b3795499', '56eacb02a6597e54', 'af498312266f75db', '239fc42dfe56a16d', '7028de6e78279064']; context = [[110, 148], [34, 71], [124, 157], [1, 37], [0, 33], [50, 92], [21, 52], [17, 59], [1, 34], [147, 177], [4, 42], [37, 76], [37, 72], [13, 56], [21, 52], [31, 63]]; loss = 0.010377 low_pass_filter = 0.300
+Epoch 0: | | 6389/? [1:07:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 6390; scene = ['82be68c78bfd5dcf', '6ad2c6f0c0c903e8', 'af37a973266b99fc', '3aecc725df673f7e', '841c8115deb71c25', '96fbaabf762077c5', '2dd2a1adc0c1d4cc', 'ee9222a1310b093e', '8b3765816a0cb218', 'afd32aa3316f6c5b', 'cd1610cb47c9f027', '3153fa729f8a1248', '2b19fbb19cc63ea6', 'f8750505219fabbc', 'fb7924e8e9d8aa21', '329cf8bde0a67f7e']; context = [[32, 64], [45, 76], [41, 72], [11, 48], [133, 168], [4, 36], [15, 53], [2, 42], [24, 62], [53, 95], [23, 56], [1, 40], [3, 46], [35, 76], [41, 75], [15, 54]]; loss = 0.013874 low_pass_filter = 0.300
+Epoch 0: | | 6399/? [1:07:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 6400; scene = ['3b6c0832b0286bf1', '581515abcd09a7f5', 'dcda03cf03c7c287', 'f93b66aff97fc215', '04f090fd282ec1a7', '41905c60a21ef567', '996074b95549ba5e', 'fc6f10f3b8a73c29', '70dc449495ad383c', '9f5c15190aff18a5', 'ab5c782dd39b4b15', '9e1d380c2e815405', '507be5a863760226', '3fef53c923ec562f', 'bb0077679798c01c', 'a9ef5bba703b2cf1']; context = [[21, 60], [11, 41], [39, 82], [7, 42], [204, 245], [14, 56], [22, 61], [1, 31], [98, 140], [10, 45], [37, 70], [4, 47], [115, 145], [19, 51], [159, 191], [31, 74]]; loss = 0.012660 low_pass_filter = 0.300
+Epoch 0: | | 6409/? [1:07:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.00train step 6410; scene = ['f2f7df2a8b307e10', 'f47283447b11a0a4', '229a78770f9e62ab', '375a71d06e55dbd3', '554969e92f0c8d3b', '77da7b2b980f34f9', '63530ed9d72a8372', 'a44d6979b3bafcce', '3c9a565ad968626d', '2b63e3da632073f8', 'e98a769801fc68ae', 'd772183ca03ffcb4', '60b4afb8b8879139', '6eb03980a476da14', '83f927b94f04feca', '34aa700b2c35219b']; context = [[30, 62], [68, 106], [24, 60], [28, 64], [6, 37], [106, 136], [196, 227], [27, 64], [6, 36], [22, 60], [64, 100], [110, 148], [0, 36], [3, 40], [27, 63], [100, 134]]; loss = 0.014020 low_pass_filter = 0.300
+Epoch 0: | | 6419/? [1:07:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 6420; scene = ['dcda03cf03c7c287', 'd84372dc915c95e5', 'c403c63210eaef23', '6ab869711e65a527', 'fc6f10f3b8a73c29', 'f93b66aff97fc215', '3b6c0832b0286bf1', '8438f949cbd62c23', '41905c60a21ef567', '85d5c64669a83b40', '28039ea78b84ff46', '94b9a93004f86b54', 'f339009a2e1e63aa', '5df7fb86d276c3e4', '78b33905f02eff69', 'c4a661b87bafd966']; context = [[53, 95], [3, 40], [69, 99], [62, 100], [0, 31], [2, 44], [8, 40], [2, 42], [73, 109], [13, 43], [55, 91], [101, 131], [32, 62], [2, 45], [62, 92], [7, 48]]; loss = 0.013201 low_pass_filter = 0.300
+Epoch 0: | | 6429/? [1:07:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 6430; scene = ['a660f1ae28b324e1', '9f394bc02890f436', '284b0e691d76c9d6', '3a38cbe28a633ea3', 'bfeacccd7fed9c73', '90895187a5b9034f', '8f7cdda712e959d9', '62f280b1630e24be', '1594e6f021f40166', '7a99a5873b2cc4ff', 'e3e5ee6971c42ef1', '199174bf81393dbb', 'a6eda98025c4b7b8', 'b48e538c6637b86b', 'beecf0cfeb2c1e3c', '0b32002777ec4879']; context = [[15, 45], [6, 44], [17, 54], [10, 50], [13, 55], [8, 50], [5, 45], [149, 180], [19, 53], [36, 68], [21, 51], [73, 112], [23, 57], [53, 96], [78, 121], [2, 35]]; loss = 0.011993 low_pass_filter = 0.300
+Epoch 0: | | 6439/? [1:07:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.00train step 6440; scene = ['5b6d2302ce6b01fe', '946be8302b60eafd', '423646c5d5d274ab', '95721305cbd2201d', 'ced7fe64b7867119', '8d735e8ed8911783', 'a32d69beb41f63a3', 'cd831a5973c3cae2', 'd6624c56a6590f71', 'e1e1596e697aa967', '051733e382609350', 'ad4b01760e4f3f23', '5dcf8e4b8aa7016f', 'df10b735e6c81875', '1b449c2b2ba10206', '03b8581787381b58']; context = [[3, 40], [0, 30], [62, 102], [9, 47], [164, 199], [44, 83], [17, 59], [54, 91], [6, 38], [68, 109], [15, 50], [44, 84], [44, 85], [37, 73], [45, 86], [1, 37]]; loss = 0.016793 low_pass_filter = 0.300
+Epoch 0: | | 6449/? [1:07:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 6450; scene = ['3de83835be367bdf', '7be1f03b786006fc', '55bc5c2ac085ff36', '3ad2b7dfad207587', 'e6b9870c1dc02f8d', 'fba66650318c0534', '9c711cdbbcc89a33', 'd2739cd7ec4f2ac9', '65d8a439ddbae342', 'e54340dc6d0ff20c', '98a0969d2e61aabe', '868ff2e3f4d67849', '775eeabe0a3a5d16', 'e29aacf03cf0a476', '7263addf40e8648d', '03d4ce90615f67c8']; context = [[28, 67], [57, 93], [119, 152], [18, 57], [42, 72], [19, 50], [1, 38], [232, 272], [21, 64], [0, 43], [195, 238], [46, 89], [77, 114], [29, 59], [2, 43], [82, 123]]; loss = 0.015019 low_pass_filter = 0.300
+Epoch 0: | | 6459/? [1:07:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.00train step 6460; scene = ['693b3955c59a2c61', 'c65c4f335b912414', '99e7a4ff1897a94d', '6692c7ea8af5d77a', 'e99b8e7d2791de5a', 'dcfb0ddcac6008e6', 'ea720fd9e78aba6c', '5f29b6d60b37b94a', '57c7523b07096917', '67303c1c83feffbd', 'c2f4a9a48094a748', '5b2563dddb9d6035', '4ea1466c774138a3', '778b53f63b254ece', 'b5b8801fce3a8754', 'd5fe718b561e0c6a']; context = [[10, 47], [7, 49], [18, 53], [87, 117], [77, 119], [7, 49], [21, 51], [45, 75], [14, 44], [16, 55], [3, 42], [4, 39], [20, 61], [181, 220], [54, 87], [11, 52]]; loss = 0.013683 low_pass_filter = 0.300
+Epoch 0: | | 6469/? [1:07:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 6470; scene = ['98a805938208ce42', '7e934c4d5fc1df83', '32b6c71b6f77de55', '8b684380336d7b11', '4d3305c36130f0cf', '7d9badc36b36c42a', '1e5e29d1878127f6', 'efa93964d2bf6c93', 'a684bc68fed03fe9', '7a98a13916fbe4a9', 'b57bcfd6ba647eba', '97567831afdc89bd', '61163dd2b0d8093e', '0f094eb8668d4827', '7902548ee26ea35f', '409203b14cf3a9da']; context = [[15, 49], [21, 61], [61, 98], [8, 41], [48, 78], [48, 83], [50, 90], [23, 55], [62, 98], [136, 167], [6, 38], [26, 66], [22, 56], [103, 140], [16, 59], [56, 95]]; loss = 0.017438 low_pass_filter = 0.300
+Epoch 0: | | 6479/? [1:07:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 6480; scene = ['f3fc106a7bbe2155', '6b2d9a2c36445976', '24a2b811d49d576e', 'c65722e2f57eb834', '74cbb85d64c53325', 'e8148e6b8d2d270b', '5fce462dcd2dd40b', '975359237122878f', '7f1338028e7645c5', '9fc3f091cf4f8bd2', '334d350f328f0f16', 'ce29cb3a552da119', '18152facf0d07c56', 'c3e3a7ba5d9219ee', 'fdb1ddd7b6d42b1c', 'c1b1ce01476efc00']; context = [[75, 116], [44, 77], [52, 89], [191, 233], [37, 67], [4, 34], [69, 105], [1, 44], [0, 32], [164, 201], [56, 97], [133, 170], [3, 46], [15, 46], [92, 126], [1, 40]]; loss = 0.016894 low_pass_filter = 0.300
+Epoch 0: | | 6489/? [1:08:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 6490; scene = ['8674ef1d1ac4e958', '956ba41bf98ba71f', '621f93416436589c', 'cb61949c06bb9837', '237cc7f439ad06d3', '3d35a83a3a0f65ed', '723fb9aa3a7823b2', '09559047be258511', '29fc478263dccc7e', '9e3180e551bd74dd', '79152a348ad56998', 'd5b845bbe77ba09a', '1985f9114dd54e64', '9e78c345e73e4f02', '177721d767ab4daa', '9f4c3a8d89ac49c8']; context = [[97, 139], [165, 196], [159, 194], [55, 86], [119, 154], [0, 30], [25, 65], [63, 102], [3, 43], [128, 171], [1, 43], [72, 111], [45, 82], [10, 50], [3, 45], [120, 157]]; loss = 0.014566 low_pass_filter = 0.300
+Epoch 0: | | 6499/? [1:08:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 6500; scene = ['ce288f389ead16de', '69c75008d6812d8c', '7e4d53b14c895961', '5079de35fcd79b96', '15746d7d3e0787f7', '86d6705131e38b99', 'e26f0a1b140b74ca', 'bba891ea827e88a2', '9e8db62a9b3cbd5e', 'cbcf05baba7c9624', 'c580d7b52ffa2fb7', '755ac8f9f91414a5', '3155b05b96e2111e', 'bc784a299b459e92', '5f1c50e26de61455', 'df869fb963216261']; context = [[39, 72], [33, 64], [6, 49], [57, 91], [22, 58], [115, 145], [21, 52], [104, 140], [175, 218], [230, 267], [10, 52], [12, 47], [94, 132], [18, 56], [76, 115], [47, 88]]; loss = 0.013120 low_pass_filter = 0.300
+Epoch 0: | | 6509/? [1:08:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 6510; scene = ['9bffc77b620ec199', '040053f72e3999be', '98117b28e3a3f1a3', 'f6e13e47d1eb3d00', 'd0b16c716a451af4', 'ce721350498c2567', '8b83c145a4e49ae7', '58972799d0de46a5', '15ce11f1e22a9b05', '42fcdbf25960b7d1', '059a508332a31e46', '13ff3000568af298', '57c9507543d23a6a', 'efd93dd97d9b8354', 'e995da36348c8fb0', 'cf8fbabc3160c580']; context = [[48, 79], [29, 69], [2, 38], [3, 43], [1, 40], [8, 50], [20, 51], [42, 80], [62, 101], [55, 92], [26, 68], [25, 61], [38, 75], [2, 37], [1, 34], [42, 83]]; loss = 0.016167 low_pass_filter = 0.300
+Epoch 0: | | 6519/? [1:08:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 6520; scene = ['648c4e302d8be549', '9191b2f74c5e2a97', 'ef3cf286d0cb5654', 'caebb632870d2dce', '16a793c677082e65', '3816a21f3d2cb58c', 'de13cdaf6db70ce6', '8c263b3efb3f8252', '8d99b0c8b1640ceb', 'a0bba22fe484cdfa', 'ab00cf34c7d63ad7', '75c90acbc1f47bd2', 'fca6d2178615a71c', '593acf6c26beb4aa', '22539003a4dc1c00', '58f50863357f1e68']; context = [[3, 44], [45, 87], [34, 65], [26, 69], [48, 88], [8, 40], [13, 51], [178, 211], [76, 110], [62, 105], [95, 131], [64, 97], [59, 100], [137, 172], [11, 44], [58, 94]]; loss = 0.015768 low_pass_filter = 0.300
+Epoch 0: | | 6529/? [1:08:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.00train step 6530; scene = ['9f9f9beffb86fad7', '7277ee787d6d4201', 'e40d0e8bef4155ed', 'fe2eddcb5f8419b0', '79301d7d51efd3b7', '5e1da2c0b8f5e55c', '346797eb0e9a8369', 'acf48db83b874587', '591d561193edb05e', '24728560754da352', 'ecf8a45df447674b', '5ac5ba38c2fca2d1', '42dd11781969ca74', '6505566f83e56f3d', 'ed73d167cd9bb9e8', '6f62c78d5d1dea0b']; context = [[182, 214], [124, 158], [123, 164], [9, 52], [24, 55], [65, 97], [0, 36], [2, 37], [117, 157], [18, 55], [65, 98], [152, 187], [46, 76], [48, 91], [223, 253], [15, 57]]; loss = 0.014037 low_pass_filter = 0.300
+Epoch 0: | | 6539/? [1:08:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 6540; scene = ['7d3a4db42458fcb5', '5ae2c32a2062fc64', 'ad29c27ce1807b96', '61195575024c6cf4', '26b59e475b721b70', '8c704f417547a201', '5aef79486958a9c9', '7436657258d0cbb1', 'a3da510ad5c8274e', 'c632d386ce68841d', 'b5c07eef1beb187e', '90f90745d65488a2', 'bd44dde9c9a46f8d', 'cb4c447383117f5e', '20eb265f6fcd1656', '8959076058f23631']; context = [[110, 147], [43, 73], [10, 46], [102, 140], [41, 72], [4, 40], [108, 150], [11, 46], [40, 70], [78, 111], [49, 90], [10, 40], [19, 61], [12, 47], [28, 67], [98, 135]]; loss = 0.016446 low_pass_filter = 0.300
+Epoch 0: | | 6549/? [1:08:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 6550; scene = ['20672f0690611fe9', '07609abe60302d4d', 'f40d76545b65bd96', 'd73dae9e6ffe86dc', '6424270ef4c0f9cc', '0e613a7c35450462', 'cd39da11cb971114', 'ec9405fe08e66141', 'f0db130b452071e8', '95c1c1296f4d66fc', 'e7fac01853ef79e7', '56b29dbbfdd767cd', 'a5cc99f839975fc2', 'a96e04d588ad2a6f', '0189e5449d3efb7a', '20e017ff3928b7b1']; context = [[14, 57], [24, 59], [53, 84], [40, 76], [42, 84], [14, 51], [34, 65], [133, 166], [1, 37], [2, 38], [210, 240], [60, 99], [71, 111], [41, 80], [48, 79], [42, 77]]; loss = 0.014729 low_pass_filter = 0.300
+Epoch 0: | | 6559/? [1:08:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 6560; scene = ['da2584e1fbd30dea', '37c83570d423f145', '8166337e9da74ddc', 'e91cd0784017f8a7', 'e68808e77f09746a', '6733b224d6435217', '1067788acdc0d69a', '744fbf6d7da41abe', 'f0f5d8ba65b99940', '714e930b63893ef7', 'e8565e922a0e4cc3', 'fa84ee984e8850bc', '926280a69f8502b8', 'a585bcd32ea73dfa', '31bcb53f4ca71194', 'c3311420730e6cac']; context = [[22, 63], [65, 100], [23, 55], [45, 83], [2, 38], [15, 46], [68, 110], [132, 162], [45, 81], [52, 84], [46, 82], [18, 52], [153, 191], [5, 38], [47, 83], [133, 175]]; loss = 0.012884 low_pass_filter = 0.300
+Epoch 0: | | 6569/? [1:08:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 6570; scene = ['e1ff5262951d06fe', 'c34879e03b346e29', 'e6b7f501833c99b1', 'd39364131f0f9dc5', '07fe2c759ad400b4', '8ec67d702c351f13', '754778718a0d9321', 'fdea1872c7b215b1', 'dc97cad06b3c4678', '5c288cfde1fe825f', '13c6f9f2297e1c2b', '86128cf3be774ec0', '2c46c889a72102d4', 'b329ba03c3c5cb90', '631a74f12218a536', '356f8e682d74a0b7']; context = [[8, 47], [2, 39], [16, 49], [58, 89], [33, 71], [37, 73], [159, 195], [10, 41], [75, 110], [183, 216], [226, 262], [13, 47], [9, 49], [66, 101], [10, 49], [68, 101]]; loss = 0.011088 low_pass_filter = 0.300
+Epoch 0: | | 6579/? [1:09:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 6580; scene = ['8ad5353c9d5ba782', '02df066d7f46a16f', '1fb2d9386803d4f3', '81509a18dbf80dff', '9f1812584f956d1e', '2306a8af2adc3645', 'ffcd77dedeef5a79', 'a7c3959b06be4b51', '7ccf510b7dc89bae', '76e44cf6b5658b26', '2cf78f93fd569aa1', '0297b7e5a6fa3c7a', 'a346eadd26ed026d', 'b933b6a20e0ac3d4', '30b1dee06a1096f6', '63341a860ea3a43a']; context = [[30, 62], [139, 170], [43, 77], [12, 51], [33, 66], [184, 225], [147, 185], [92, 127], [51, 86], [27, 66], [53, 93], [93, 123], [42, 83], [194, 225], [39, 76], [4, 35]]; loss = 0.015287 low_pass_filter = 0.300
+Epoch 0: | | 6589/? [1:09:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.00train step 6590; scene = ['c1388d6b637459cf', 'd4ccd497eb793d75', '0834ab5179e2e875', '9b1f29d698a94761', '54d4ced992ef0be9', 'a36c0067d12abd5a', '248959503883334d', '0821758f2616432e', '366202bb84f9a518', '540daa97e9bee596', '21e8738f3faaccbf', '0be2c9e2e366ab0a', '2285f6706d6df696', '8200350e9ff7819c', '7a94507c801001b0', 'cefa2809ea418e0a']; context = [[17, 51], [105, 136], [26, 67], [26, 61], [15, 57], [37, 68], [73, 114], [198, 239], [52, 87], [117, 152], [117, 152], [2, 45], [9, 42], [21, 61], [9, 39], [146, 177]]; loss = 0.016928 low_pass_filter = 0.300
+Epoch 0: | | 6599/? [1:09:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.00train step 6600; scene = ['e2edab5b52966c17', 'f86fc98cc4793b7a', '3244c1a0f0a62eb9', '6480aa85c5591f86', '87bb3dd7771d81bf', '0b20f8a6bcd67e51', 'a9ceae667772df76', '56713b122d143473', '44ae6eb084b5a39e', '4ad4191f28c4bd5b', 'e3641bf1bb0eeacc', '82fbf69e7be675b1', '0915e0de1758cb7f', '58efb597e00e330e', '4e82cfdcc4764bb4', '14978bd5651e76d4']; context = [[0, 30], [6, 47], [89, 125], [194, 230], [36, 71], [60, 95], [49, 79], [8, 47], [22, 57], [35, 76], [2, 43], [43, 76], [10, 51], [22, 65], [28, 62], [33, 75]]; loss = 0.012375 low_pass_filter = 0.300
+Epoch 0: | | 6609/? [1:09:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 6610; scene = ['27616b52fb366cdc', '1c59fc385ce37ab6', '01cddbb85517cdc8', '9acff909c8398b6b', '3b2f95a8d993542b', 'b9e08c2b547d9c86', 'e86649ebe8724adc', '09d20c74727003a9', 'bcbdf9db88745962', '4a3700163ac07b62', '9bd9e8a4647c17a3', 'a72425db74ff1239', '0c127047dcf85eca', '2736329206ed85fd', '0e1159e68d940646', '3dd32618d2ec8737']; context = [[55, 97], [34, 73], [20, 60], [4, 36], [96, 135], [24, 59], [100, 132], [59, 96], [44, 83], [72, 102], [36, 70], [38, 77], [30, 69], [155, 189], [21, 53], [103, 143]]; loss = 0.015434 low_pass_filter = 0.300
+Epoch 0: | | 6619/? [1:09:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 6620; scene = ['058bac6c226fc1a9', '82b96510a3611b6f', '56dc83393c72e3c8', '91d1834cc0a5d350', '614d22ea61831d59', '800e88a90a8d611e', '37af0580a033de8f', 'dbefadef3328aabf', '3212cea6b57ac5cc', 'b054fb5ce2f8e1f2', '1849278e5448294a', '27af55bd950658b5', '30083643d23baefb', 'f3063c66b1e84d2a', '033e302c06eae28a', '3c6fd8ba9c412ce8']; context = [[66, 109], [16, 56], [25, 64], [2, 43], [119, 158], [4, 37], [45, 78], [1, 45], [49, 85], [25, 59], [86, 117], [18, 56], [14, 58], [12, 56], [43, 87], [5, 41]]; loss = 0.012829 low_pass_filter = 0.300
+Epoch 0: | | 6629/? [1:09:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 6630; scene = ['c41e1ed39da70573', 'b99cfd85b151c0db', '948c921929ad168b', '109be21e1df549ed', 'ea77fcbd26a790af', '44c5d8459773f57c', '30eecf21955226cc', 'bb63fc0162dc10d5', '7a2b3c953d211969', 'df30479d7cd20d79', '13ef0c5e67c66509', '63cb35896a18c2ec', '2e619bcc98d547f7', '968e47d54cc327c2', '08ecf91f3b646b39', 'ada19eb485c6ff7d']; context = [[45, 79], [59, 92], [73, 115], [6, 40], [11, 54], [33, 70], [38, 81], [138, 175], [38, 79], [45, 82], [22, 63], [56, 96], [29, 67], [8, 44], [42, 72], [3, 37]]; loss = 0.017012 low_pass_filter = 0.300
+Epoch 0: | | 6639/? [1:09:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 6640; scene = ['4a218ddfc3698ca8', 'c121bf6c2929cfe1', '84335596c296225a', '9313282562b4c82a', 'bc34ecfb3c809d97', '4b30f3b820875a1a', '995f249ace489797', 'bca757afa6825a39', 'edc39c2e54f4dd24', '1e796863c062efaa', '3ad98feb3c4e66d9', '57cfddd669e1b1da', '6085ad40630a138a', '772dd9b939577403', '55610ca781ab23b2', '36964406bb9b6ce5']; context = [[6, 49], [14, 48], [159, 201], [9, 44], [0, 33], [4, 42], [0, 37], [68, 106], [42, 78], [28, 72], [36, 73], [12, 50], [83, 122], [59, 99], [3, 37], [28, 71]]; loss = 0.014395 low_pass_filter = 0.300
+Epoch 0: | | 6649/? [1:09:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 6650; scene = ['edb6298acf6aef1a', '1cf65af666c99482', 'a8ecd417611571ae', '7ef4711d7e459ac9', '984a54f8dac36945', 'c1680461b2490fa4', '1e464d7d6edb8441', 'e01fd52543c3109c', '1e10b26e9ebd03f3', '6856c108142f8615', 'd1c4a0e0fde61f4b', '18ca128750da291c', '78729dc7fc839286', 'afbfb11da5517acb', '46eb8491db9e7139', '970c8ab96a42388c']; context = [[3, 42], [0, 31], [16, 56], [28, 59], [42, 73], [4, 46], [54, 98], [220, 255], [122, 155], [2, 45], [173, 206], [0, 41], [146, 188], [35, 66], [40, 78], [56, 86]]; loss = 0.014199 low_pass_filter = 0.300
+Epoch 0: | | 6659/? [1:09:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 6660; scene = ['15121aa15652bcdf', '25b566c54e1d3c7d', 'b38f933773a331bf', '109d95d5de8c2056', 'e0f9634ac743f6e8', 'f6c2ec175de3468d', 'bb1d884c7bc6f463', '8411baa1ad3a5c6f', '912d4cd827238ee3', '366fdd255113437e', 'f4289cfabb77058b', '88bf46314a638234', 'd3e5f552d83a1330', '92f8c501d9501097', 'd8003945f6e4e9f9', '42ff234486b7be0e']; context = [[37, 68], [99, 130], [40, 82], [63, 103], [83, 118], [53, 89], [30, 63], [48, 92], [6, 46], [55, 99], [18, 52], [195, 234], [15, 55], [104, 134], [20, 61], [8, 51]]; loss = 0.015466 low_pass_filter = 0.300
+Epoch 0: | | 6669/? [1:09:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 6670; scene = ['7d57be178bfebe81', '5f9603b52f8a6144', 'facc36be12149a27', '172f00a993c91d33', '3a6d56deb88a939a', 'cc90987857dcf840', 'd14cfc82d87e06ec', 'e9a353fc7558047a', '28e3ff32d7f2a1ea', 'dde7a3bbc1ecfddd', 'a5fec6ceab1a2f83', '1932b5da26849498', '0294b1cb70478a95', 'c48422606151f546', 'd1b84c199cb87a50', '4e234250febdd495']; context = [[76, 110], [3, 40], [47, 85], [43, 74], [40, 84], [193, 237], [61, 96], [50, 89], [66, 104], [105, 142], [64, 94], [31, 64], [12, 50], [6, 50], [20, 54], [4, 38]]; loss = 0.015396 low_pass_filter = 0.300
+Epoch 0: | | 6679/? [1:10:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 6680; scene = ['be0edcb9a9812543', '5d172f09fd8bc22b', '6b881256e91f5dbb', '871027075a80bcad', '22a705dbdc98cc4f', 'af2bf37f747ea039', 'b7a01752401f8b53', '211843ba731e7f70', 'bcd621665fabf254', 'ef61fa01cc558ce0', 'dfbeb78b2b8c99e2', '25d6f10b8d881940', 'd9644f4985e51a1f', '48cfc82a1cc3ee30', '15be5925908185f9', '5c264ea5cb7804c5']; context = [[15, 58], [50, 82], [80, 118], [107, 145], [78, 119], [37, 74], [54, 94], [0, 31], [91, 128], [132, 165], [97, 133], [9, 45], [20, 61], [25, 68], [92, 128], [179, 219]]; loss = 0.014037 low_pass_filter = 0.300
+Epoch 0: | | 6689/? [1:10:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 6690; scene = ['2164f88c646772cc', '11920402d31deff5', '4ea88ffe47703b99', 'b87f237a4b81ed36', '95aea39a1302166f', '71f5c48a0eb24033', '57523d9fded0910d', '093cd19c2092f76f', '6e4cf169bcc208d0', 'bb866e20178e3819', 'd9f718ad1e6fc7b1', '17c93dd3f507eb4b', 'c5b9d0e39a756324', '1de8e1eb82d14d6d', '79b7035b6671047d', '9c0bb7fc34abd94e']; context = [[74, 109], [130, 160], [53, 88], [132, 175], [77, 115], [40, 76], [78, 113], [110, 141], [40, 72], [1, 32], [41, 72], [197, 237], [65, 101], [9, 52], [229, 264], [3, 43]]; loss = 0.014752 low_pass_filter = 0.300
+Epoch 0: | | 6699/? [1:10:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 6700; scene = ['95683816b2782fc2', '0c2dec20ab27ba71', '8e9c5434edb7e43d', '664a0d29187fa61b', '7973781f09bbc41d', '5065b9cb94d891bb', '2f87265d1c21584c', '04f105ada75a23a5', '2a7384bdd4ba6392', '049c68b1ba3b62da', '69d8221a5c505e93', '65e9f8984bd38083', '902534468722d0a4', '3849372892bb6536', '3cfeac5e37c2dd0b', '2844cf44f8918214']; context = [[17, 47], [22, 58], [89, 128], [172, 206], [12, 48], [155, 198], [52, 85], [13, 53], [22, 66], [37, 78], [60, 94], [8, 46], [23, 56], [5, 47], [71, 102], [24, 58]]; loss = 0.013311 low_pass_filter = 0.300
+Epoch 0: | | 6709/? [1:10:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 6710; scene = ['c533cd77b9d83394', '81b0ef8a758fba61', '1dd9690bd5cc0fcf', 'a1320688d26c7fbe', '104239f3585cef56', '6da546cc88d60c4e', '0cd6f4841a15ea2c', '4aa97004815b6816', 'f215c9c641543b5b', 'fca33c5a37b6c7bf', '1c3b38063dd1c74b', '5aceda4b60185a11', '5c848e9f227c9f19', 'cbc530b93686f385', '0b707735ebc3eeed', '02a0ed45d72f579e']; context = [[94, 129], [175, 209], [237, 270], [35, 78], [22, 53], [47, 86], [34, 68], [110, 146], [115, 157], [85, 115], [122, 154], [111, 151], [38, 68], [30, 60], [52, 93], [88, 131]]; loss = 0.015156 low_pass_filter = 0.300
+Epoch 0: | | 6719/? [1:10:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.00train step 6720; scene = ['8faf6d49991b5e80', 'e5bfaf251bfc0fdd', '1fb562b09fc361ea', 'd842261ebd54ac6e', 'ab1a429034ca6dcd', '82951bcec467e8b9', '24d33601b8e09152', '24b61a5f82f26bdf', 'da730944311546b9', '1b9e0a1958f29f37', '8828f1cc452795aa', '41e20f4874e70840', '4d836c051f02de01', '9025a2c878c65e51', '2c829a056844b920', '2837f34b63e649e1']; context = [[34, 72], [53, 85], [11, 46], [63, 107], [1, 35], [107, 140], [71, 102], [4, 47], [2, 46], [115, 145], [111, 146], [1, 38], [14, 45], [49, 92], [43, 79], [12, 52]]; loss = 0.011096 low_pass_filter = 0.300
+Epoch 0: | | 6729/? [1:10:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 6730; scene = ['6050b46403dc7993', 'b993964d13910de3', 'c2fc6ef65cb36488', 'f78219e90033a43b', 'a32094abd3d9859f', 'ba478cd05917a426', 'aa8aacb5df95e356', '73abd5048eb254a5', '74e30a73a5c11c30', '2c1b4bbf79a3aaef', '78d2e86bc8669dd2', 'adf102437e4a8401', '09ba39e41abef91d', '2a37114401aee862', '7ba606741aee99fb', '33a9d9c81ec1ec2c']; context = [[15, 59], [144, 177], [53, 93], [6, 38], [45, 85], [4, 43], [52, 93], [2, 45], [10, 43], [41, 75], [238, 273], [82, 112], [30, 65], [9, 40], [34, 76], [13, 47]]; loss = 0.018185 low_pass_filter = 0.300
+Epoch 0: | | 6739/? [1:10:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 6740; scene = ['e871a834ab8c4456', 'f50e880694e40638', 'd33f96b34b59536e', 'eea538795dc99068', '02003c6738743fb8', '07bbccee5f7e1df6', '375f4357d350d82a', '39b5b7292e6674ef', 'efbedd1c293f9493', 'e632ffe5b8c6baa6', 'db8e25d8ca7aa17c', 'dc73b2d2bbc66fc0', '80d0c8dba40492dd', '7a6ee5aa04ee0360', '4e0885cf81a824c6', '4fbde5ea62da3342']; context = [[141, 180], [38, 68], [27, 60], [47, 79], [124, 165], [10, 43], [41, 76], [22, 66], [0, 43], [13, 45], [112, 143], [14, 58], [168, 210], [0, 30], [9, 48], [7, 48]]; loss = 0.016199 low_pass_filter = 0.300
+Epoch 0: | | 6749/? [1:10:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 6750; scene = ['f8e88fba50b03a6a', 'ea066e1485b1d986', '0c8175ee46cfaff7', 'da90d7c66bea01e5', 'fccff2648cce2404', 'a13d8d996ab50fd7', '4bd1181d3d5cbe49', '89264e76e0901fb9', '93ba1cbdfc5cc86e', '6b19a5bb419f101f', '4d35d640d775aea7', '654d07e5521de19e', '987e3822942e5a91', 'eaee1f77f3e4646b', 'bd38fbc45309fee4', 'fcc8c5dbb8042ca1']; context = [[29, 63], [31, 72], [13, 49], [53, 83], [42, 73], [38, 75], [12, 52], [110, 150], [7, 45], [10, 50], [59, 97], [117, 150], [35, 69], [21, 55], [7, 44], [0, 32]]; loss = 0.014604 low_pass_filter = 0.300
+Epoch 0: | | 6759/? [1:10:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 6760; scene = ['ee55fb32aa9d27bd', '0dde89e3415640c1', '759cd5f32a40b5f6', '6d17b1aeb2612d9b', '861260140edeed05', 'ec166c975da009fa', '52e7a82baea6b86b', '4272c750989935b9', '62c11fcd89d1eb0b', 'a27495eefbaba454', '3ba1586d95247579', 'e6341d94005bdd0d', '08be136d928551f3', 'a6d3f8823cc684fd', '5af87f91bbe6d77d', 'a9111dbff01e1e9a']; context = [[9, 50], [28, 60], [2, 41], [187, 222], [81, 115], [23, 66], [5, 44], [197, 233], [44, 80], [17, 47], [32, 76], [20, 62], [9, 46], [26, 62], [1, 35], [24, 66]]; loss = 0.016738 low_pass_filter = 0.300
+Epoch 0: | | 6769/? [1:11:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 6770; scene = ['9ff079a7d20b61af', '88757490a352159b', '5a02b12decdc528a', 'a5dfff7e0d310d45', 'a9c2a04a2e0289de', '46cbc096a3273b53', 'd4170a3ff28c8efd', 'a3165e0acfc071b3', '69a87beb7f4b2215', '492d58c60ff59717', '07f00b8c0aea9746', 'a94cbd51a4f7a333', '3fe41c4461489904', 'd4dbe237dd780660', '1adfa70ec7249546', '7a8193d4fb72424c']; context = [[54, 91], [82, 126], [66, 105], [3, 47], [5, 36], [100, 134], [56, 92], [0, 32], [10, 42], [34, 67], [80, 123], [13, 47], [45, 78], [228, 265], [2, 32], [92, 130]]; loss = 0.013931 low_pass_filter = 0.300
+Epoch 0: | | 6779/? [1:11:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 6780; scene = ['1cf5589d5ecddb95', '26ea8cc2791328c2', 'ac64989dd2b2a22a', 'eb5a6e0843067cdc', '52b9ac23fdfbac93', '21c1d6f293998c88', '6955cf41eb23fe3b', '5c50277359a0843c', '777dec8c405e3f57', '0d4d9f5a612e07e1', '7320b68379cdfcc1', '43fd85a2b0eabe1c', '894fea6ecdee27b4', '00b9fa905d6c0830', 'efbdf67e0c80c27b', '28a03496f0eb63c5']; context = [[48, 85], [189, 226], [7, 40], [47, 89], [74, 113], [58, 100], [0, 30], [67, 97], [16, 52], [8, 52], [33, 75], [60, 93], [0, 30], [78, 117], [19, 62], [95, 126]]; loss = 0.012347 low_pass_filter = 0.300
+Epoch 0: | | 6789/? [1:11:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 6790; scene = ['ac47a40506588f1c', '51867713f952190c', 'e44f5c6ad96bacbb', 'bc998a5b3c4bdc0d', '035796a705648437', '25afc625ca2083d0', 'b24f0b89fe81c75f', '6dc932b8fa9e45e2', '99cccaa6de050ae8', 'f64be4d4702419e9', '61152f7f13e6ca70', 'fdc5a4c97ea35db5', 'ea0d6a4426f69bcb', '3aba94892a572bda', 'aae3d38a0c87c7b9', '9cb85dae349d898a']; context = [[10, 47], [13, 57], [27, 58], [1, 35], [30, 63], [39, 77], [20, 58], [42, 84], [99, 134], [10, 50], [23, 59], [2, 38], [2, 38], [16, 60], [23, 57], [0, 35]]; loss = 0.018767 low_pass_filter = 0.300
+Epoch 0: | | 6799/? [1:11:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.00train step 6800; scene = ['3e3a689093824042', 'ceec427e1ee30242', '7754a66cbcf3db22', '985d0b19290e3eaa', 'eb9bb1f96d3f73b8', 'a0ce475f66394916', '25b61d1c81bb55d2', '445c628439432589', 'b6d9f61b638b36c6', '615edbef9997f747', 'a3c704d81c086f17', 'fe6348dd3b06de6a', '9527ca7dcc3bf97c', '1ca1a938ef8d7dfa', '5538a8d2a131628f', 'fd397ecbd5d6b4e3']; context = [[22, 58], [190, 228], [11, 46], [26, 66], [7, 43], [28, 68], [1, 44], [24, 66], [79, 118], [55, 94], [0, 32], [245, 277], [14, 54], [2, 40], [66, 105], [38, 75]]; loss = 0.019565 low_pass_filter = 0.300
+Epoch 0: | | 6809/? [1:11:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 6810; scene = ['5521185b98e972d0', 'ef20b49b3d0869c0', '8811a6753f66c635', '4585f80cef08baaa', 'e713ee11cda7ecd7', '889141249495d6d5', '760361a82cea8c5d', 'f384611b03428126', '5afd54ff10bf02f5', '87c924499e6e0e27', '9dbd9623f02b4815', '6a4ae39c67a47ba5', 'a88e46e5d8711c8e', '525a5fe905539bc0', 'd93bfed273f01550', '07e88eb06321ac86']; context = [[87, 129], [46, 79], [127, 160], [26, 70], [121, 165], [77, 120], [0, 34], [168, 201], [23, 57], [7, 48], [27, 61], [22, 57], [3, 35], [27, 58], [113, 147], [10, 54]]; loss = 0.015810 low_pass_filter = 0.300
+Epoch 0: | | 6819/? [1:11:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 6820; scene = ['c93a3485a63a06cc', 'c7b3410412698cfe', 'e03c32cada8f8685', '66dbbedd0b62d620', '12590c946a642acd', '8a803ac9260584d9', 'ac7426f5db6b176a', '97374b1ae774d836', '4313fad787b8a322', 'baa3d02c60811eb2', '419eb6d22093c07f', '95f3853194c2fba2', 'dc93234e747d0007', '34dc84e620c09247', 'c0626c14cc473106', '65fffdaa476b2613']; context = [[21, 53], [177, 212], [19, 58], [9, 44], [139, 177], [16, 47], [52, 90], [52, 85], [130, 164], [16, 59], [5, 40], [1, 36], [107, 145], [10, 50], [193, 224], [1, 32]]; loss = 0.016548 low_pass_filter = 0.300
+Epoch 0: | | 6829/? [1:11:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 6830; scene = ['d78319cea2d2f267', 'e3934b50d763cc3e', '132dea1279481222', 'cc1939ad78497c14', 'de72e7430ace193f', 'e99bc2b58b6f2ccd', 'c2e24813705c3768', 'b78bf8d0319fba08', '7134069a2b3f8baf', '1ab2513dcdc16c12', '180d96feb8d270aa', '46a062481ab45320', 'baf6f3633f2f05b5', '4463bb9f959c4bdd', '5e18c1df1ea5fe8b', '9451e54e5276db9a']; context = [[24, 59], [45, 82], [44, 75], [13, 54], [80, 115], [17, 58], [47, 85], [45, 88], [10, 45], [156, 198], [89, 125], [34, 67], [7, 44], [68, 112], [130, 170], [91, 125]]; loss = 0.014078 low_pass_filter = 0.300
+Epoch 0: | | 6839/? [1:11:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 6840; scene = ['0efc5f77b13da150', '8dfe8887806a699c', '9d04c5c69b79b41b', '6c37b62853077e8e', '28e2882fd19235da', '44c89ea5834e28b3', 'c7159a8daad87750', 'aa7d34a0930aaed6', '8410b8c23b2c737d', '29f66f7d00d5a958', '12e0d4265e7789b4', '510c5beb7e6a13e2', 'f6a0556897b15d6b', '053e55bc3666cc69', '824a7bbb922965f5', '86961a46929cf91d']; context = [[2, 39], [30, 71], [206, 242], [42, 75], [5, 43], [83, 127], [88, 128], [3, 38], [34, 65], [81, 116], [30, 65], [13, 46], [7, 43], [39, 83], [12, 54], [49, 86]]; loss = 0.013609 low_pass_filter = 0.300
+Epoch 0: | | 6849/? [1:11:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 6850; scene = ['2d7a65f89d933d6e', '9edba56f5a9881b6', '593292727003667d', '09afd21650f14407', '7fca3ecadedf4e9e', '993c6c80f2eb7d43', '54cfdcc11f17f88a', 'a95691c28a8c28a3', 'e19f2bdf424cfcde', '33ec2bc6fd434fe8', '7da47581ea5a7b74', '5f44c9c88b73aa5a', '2f56fb1ce3c46045', '249adc3e479b28b9', '9c2ec37ccb615cf9', '11bdc79f5f3fe36a']; context = [[25, 60], [46, 82], [29, 72], [73, 106], [14, 45], [20, 62], [5, 44], [43, 82], [0, 42], [8, 40], [2, 37], [21, 65], [154, 185], [2, 39], [26, 62], [3, 41]]; loss = 0.014165 low_pass_filter = 0.300
+Epoch 0: | | 6859/? [1:11:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 6860; scene = ['99a479337d304313', '337f55eb7d340c6c', 'add63edd0fc1cba7', '32180fdde0a2f217', '51166927e65a7bb4', '9284360e57fe697f', '721db478d9515f86', 'b35e13c7d602603d', 'afde61f51906fc5b', '48a3e980c20ce2d3', '02d8bb7d9a697e4b', '87e15183ad6df63d', 'efd0fc40e46dcabd', 'cb5f6c0661ca22c9', '8afb36156243fe84', 'ee5b68d3466873cd']; context = [[14, 46], [29, 62], [64, 106], [6, 48], [7, 43], [10, 53], [125, 169], [60, 91], [50, 83], [0, 31], [9, 45], [40, 83], [93, 132], [33, 76], [60, 91], [89, 133]]; loss = 0.012465 low_pass_filter = 0.300
+Epoch 0: | | 6869/? [1:12:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 6870; scene = ['9dec68509b4f3979', '8715a1b4fda38323', '0784f1fbde4e1b30', '36784897d51395da', 'd29cbb6e7aa31fbc', 'c8b7b281d32219d6', '09358602367b997b', 'ce6a2d649685a41e', '3a90013ef1427fd7', '94d1e2d3ad8f5b7b', '06ed257e33ae67f5', '87b1c7b098739af5', '0306e29a9b02fc0d', 'b954a1663c527aae', 'b3ad12ae1d47cc80', '3de6688abdf5ef5f']; context = [[62, 105], [72, 116], [127, 168], [1, 43], [36, 69], [225, 267], [10, 53], [65, 99], [44, 76], [18, 59], [73, 115], [3, 35], [86, 117], [190, 232], [16, 52], [25, 63]]; loss = 0.013890 low_pass_filter = 0.300
+Epoch 0: | | 6879/? [1:12:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 6880; scene = ['249ee6d00a7493be', '433737b2b7f09bd2', '07d1e657a9632324', '3854ae7e48f9f528', '583428a8466e2418', 'aea6e8f6cbbabe3a', '5f00c7879f963b3c', 'c6660e3e3e4ca25b', '423eb47d1b1d1852', 'c98ea5702ac87104', '432ef4ad8bf6b3ee', 'c101968566cb7252', '2e5e3c12008c75be', '38cfad9ce36af1f0', '7257ce38c1bc95ef', '5efd93998993c5f7']; context = [[15, 52], [126, 170], [73, 106], [19, 52], [25, 69], [10, 41], [17, 61], [13, 48], [21, 54], [77, 117], [11, 52], [8, 48], [72, 115], [61, 92], [54, 91], [36, 77]]; loss = 0.018201 low_pass_filter = 0.300
+Epoch 0: | | 6889/? [1:12:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.00train step 6890; scene = ['d1e2fc28d67d81ad', '08a29c5d2d185c37', '385ab81eccafde89', 'cb3c5dd27b9fbac1', 'fd9dd0f92a722b60', 'd86035742b47f9c7', '88520ced9265487a', 'df4e1717577f82c1', '913bc26ba7d3afc5', 'e197531346c5f079', '541d8c4da94d9047', '72af17dcf2eba0cf', '4b67e4f68e085f45', '4276394e8565d036', '4ad8aa55f3b300e2', 'd35b7c2c52c45a54']; context = [[2, 36], [56, 95], [23, 54], [21, 60], [69, 102], [206, 249], [83, 116], [73, 109], [166, 210], [1, 45], [80, 122], [44, 77], [145, 183], [52, 94], [12, 47], [75, 117]]; loss = 0.013407 low_pass_filter = 0.300
+Epoch 0: | | 6899/? [1:12:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 6900; scene = ['0d29df52e52443e8', '28f3ce374939d3b9', 'ab5c27b0f4059c51', 'af2b6babf7f15f24', '0da07bc68c38ad63', 'c4b17aa877a91618', '088b6135509a9438', '9de2ac57fb28c89c', 'b1d4f5022172c299', '5b5dce3b48cf847f', '7fcda101e80cb514', '18685e2734019e91', '96489fd56f875313', '73b234b2701f10c5', 'eb864005eb96e04e', '589eca489876d5ce']; context = [[94, 127], [58, 99], [86, 126], [22, 66], [64, 104], [40, 73], [100, 132], [40, 77], [79, 113], [62, 93], [26, 58], [12, 53], [58, 98], [11, 49], [134, 172], [23, 56]]; loss = 0.016526 low_pass_filter = 0.300
+Epoch 0: | | 6909/? [1:12:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.00train step 6910; scene = ['4bddff1b2be3b379', '6d417df8e0934224', '68c727ba2ded98c0', '27dafac4d73ec369', 'e02bdbf64b293ae8', '42ba2a1af23099ae', 'cb51faec2dc6c5d6', '23e3b85c6103b7c3', '9a8207de94b9370a', '9bec9543e36d4c4a', 'be82bb92d62fc136', '86238485ae316522', 'af252cc74ed0ae4c', 'a43dcebff84ddba2', '229fba45626acb41', '95db38a93027169e']; context = [[155, 194], [146, 187], [22, 54], [53, 89], [33, 72], [68, 110], [16, 57], [2, 42], [55, 88], [1, 36], [8, 43], [31, 74], [6, 46], [119, 152], [54, 89], [219, 259]]; loss = 0.014420 low_pass_filter = 0.300
+Epoch 0: | | 6919/? [1:12:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 6920; scene = ['71af1e40d14233f2', '7982c04ab0f83614', '9d74a520fb1eb89c', '2b4332a5bbbc50d4', 'd3d56c592a69253c', '8088dba438e87a09', '219070c8f28a0fe3', '4a2bd9d10797e87f', '74cf8d7236ba20a3', '94225e407e4244c1', '969fa5306305187d', '02031ea8770f3ef7', 'cd61a8d26b82f9c6', '98cb259cd905b8ac', 'f58b10fef6de3ccd', '8fed5b10f8dcf9ea']; context = [[30, 64], [4, 36], [194, 226], [37, 75], [76, 117], [127, 170], [54, 86], [3, 39], [40, 83], [71, 108], [6, 45], [98, 140], [156, 189], [59, 98], [31, 68], [9, 44]]; loss = 0.017130 low_pass_filter = 0.300
+Epoch 0: | | 6929/? [1:12:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 6930; scene = ['43e296ca9d20f4d4', '3d5b4c96f4915451', 'ac6f65651a0917ec', '4c6b3bd1c47f2921', '605238c1174a9dbb', '37762637a2421f99', '4f6f5bbba5f3b4f4', 'ed2db165165282ae', '7da58084fa0a0fd0', '21a59ab98e1fc0a5', 'fe0d8843daa972ee', '7a6a50320dfe6287', '5cb8b9d289c8a88e', '1950a003b933bbb5', '4619634afa74b44a', '341f28178feeb2a7']; context = [[1, 39], [64, 103], [44, 87], [86, 129], [22, 65], [163, 204], [0, 31], [121, 154], [0, 40], [60, 96], [57, 92], [154, 190], [5, 36], [137, 181], [18, 62], [28, 67]]; loss = 0.014957 low_pass_filter = 0.300
+Epoch 0: | | 6939/? [1:12:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 6940; scene = ['3247dfba9f56a552', 'c64522975c1b787a', 'ba18cfa17a07e100', 'a23c9a6f908d54ca', '43796a5e9835d23e', '19242e2977432835', '5446148b27f5e5ea', '5b6e4e886fe8aa82', '7442e8d1f450ec5d', 'c335f6430f3c6c02', '45d04b9824b1d3db', '58adb59cfe7b51c4', '7dbe01d447572e2e', 'c14419e33d30959c', '6c8afce58a414579', 'e72032e8935bae10']; context = [[0, 33], [65, 102], [57, 99], [19, 51], [17, 59], [13, 50], [25, 61], [94, 137], [51, 85], [16, 60], [20, 54], [5, 41], [51, 94], [96, 139], [16, 57], [34, 75]]; loss = 0.014739 low_pass_filter = 0.300
+Epoch 0: | | 6949/? [1:12:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 6950; scene = ['c358c22b6dacdaef', '08995d12c844a39e', 'a677f7099c189184', '9eb26a1771bdc736', 'f38d65464a5edac1', 'a1d3f2e765955d2d', '8386e000058b5adc', '63fa54e068bf95ff', 'e724e954dca8ada8', 'a5f2758d6aef3ebd', 'f21111953bcea290', '96d32953310c8208', '60008e826bbabc87', '735806a526764f0f', 'c192877873ca4513', '47facee26c9e2439']; context = [[16, 58], [7, 40], [50, 91], [11, 46], [12, 43], [35, 75], [24, 63], [105, 144], [108, 145], [1, 45], [62, 101], [46, 84], [45, 87], [52, 88], [14, 52], [0, 32]]; loss = 0.015143 low_pass_filter = 0.300
+Epoch 0: | | 6959/? [1:13:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 6960; scene = ['360253c55aef692f', 'bdb6b9b09bbcf91e', '67fa25b705db9804', 'c8b2cc9cf104268c', 'f309247c0393e7c1', '98c0d74208f20b1c', 'ef29fa8744b856ff', 'c32ee937dbec7221', 'eae08bd3d5c892e7', '3ab525a069df0654', 'f180ec5076146d31', '270c1019e4348197', 'c0a2a9fe9e12ea72', '3f6666062c86b73a', 'f3dd12e8d9dd4c20', '91cc4e583ef263cd']; context = [[23, 68], [98, 141], [84, 120], [19, 54], [116, 161], [32, 74], [10, 45], [47, 84], [89, 134], [12, 57], [35, 68], [160, 197], [50, 84], [12, 49], [51, 91], [25, 64]]; loss = 0.014089 low_pass_filter = 0.300
+Epoch 0: | | 6969/? [1:13:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 6970; scene = ['eca88921ba674621', '53d8683f2b99a881', '91863ff844766c12', '61aef773e015ee1b', '48bb21e2c977a365', '6ac17c3b90486c36', 'f0ccf566e933138d', '0d7c8f3488ff8d32', 'd21e2fe8ccd0339c', '76863e3d95c8efaf', 'dfdfc2a9de870616', '032c4532de6a859b', '38b3ab869b752c37', 'f6992bbdedd040fa', '0d7cbb1d4e7831e1', '1ceb3e7a3e538dcd']; context = [[18, 52], [29, 64], [19, 52], [6, 41], [113, 148], [17, 56], [66, 101], [4, 37], [48, 87], [30, 71], [35, 73], [128, 165], [229, 274], [121, 152], [106, 146], [1, 32]]; loss = 0.016280 low_pass_filter = 0.300
+Epoch 0: | | 6979/? [1:13:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 6980; scene = ['e6f956faeeda3603', '0ebfc63e0dbcb1e6', '05e60d579e4c1a11', 'a7637d6b7874165f', '6d1a30733b55be0e', 'ed6cb4f3143f3d9a', '5b3d31121fbbfcf3', 'cb70695033be49dc', 'a21156beeb2aca22', '49a0fbfd6a6447b8', '448bec6d7e439329', '0badfec5d375681c', '3e8b8ed95e9a029c', 'b0ff8c5c54470cd4', 'a7eef216bb5fddc3', '63f662fee3569c13']; context = [[74, 109], [109, 148], [53, 92], [71, 103], [123, 168], [25, 70], [14, 58], [38, 72], [1, 36], [220, 264], [75, 120], [0, 34], [179, 224], [78, 119], [53, 89], [5, 49]]; loss = 0.014829 low_pass_filter = 0.300
+Epoch 0: | | 6989/? [1:13:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 6990; scene = ['5fcab1686e38f61c', '5fa0f21b8c64e5af', '677817c638b61cbe', '5e90c12a8fa8fa0f', '7e6d320ac85bd57c', '79002f0819c121c7', 'dfb2e9e573f4546c', '2fab89e843378069', '3ba642d8a177b665', '8c55ea16d14f1a75', 'e16752b3b2547b07', '906fbd1ca67ad39a', '6db367f58699de50', '5c0f2644213d6307', '9f00e63f588d8c1c', 'e762c1c07db2b766']; context = [[52, 93], [35, 80], [42, 81], [86, 122], [37, 73], [14, 46], [26, 61], [41, 76], [142, 176], [0, 31], [18, 54], [65, 107], [118, 162], [0, 31], [180, 224], [24, 55]]; loss = 0.012854 low_pass_filter = 0.300
+Epoch 0: | | 6999/? [1:13:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 7000; scene = ['a25bf33f9d312013', 'b3eb7d9489b53fa6', 'e654c951fe486a67', '8ee376f0a298ec87', 'abfac8e8c688c9f1', '484a9bbc30003fcc', 'a890bab1154211c8', '480231b83d000bf7', 'beaba217aedcdbf6', '245ec87f817cf1e4', '1e655b97eff9ed44', 'bd9213b7a0ca097f', '6ee14e90603777a9', '6cfdd5147e9d0d35', '145fff95cba3d1be', 'db1bc45bd23844ee']; context = [[87, 124], [1, 46], [36, 71], [121, 158], [71, 113], [24, 63], [32, 77], [12, 55], [51, 82], [21, 63], [3, 44], [212, 247], [2, 45], [138, 170], [33, 65], [55, 97]]; loss = 0.012835 low_pass_filter = 0.300
+Epoch 0: | | 7000/? [1:13:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00validation step 7000; scene = ['3b273cb40c55db95']; context = [[11, 48]]
+Epoch 0: | | 7009/? [1:13:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 7010; scene = ['6821d555fb2fa55f', 'b1d713a2958063db', '9754cd798e248dad', 'cb2bf72fb1b90d8c', '4bf9810f69710809', '508d03e39ed28686', '220a754928cf7f7d', '0c0b98f2b5ef84e3', '6aad2eba073ae9c3', '7718b6a417bc4892', 'd23ed015a12e7251', 'fe2b27b75b492744', '1ef819a1b9444dbc', '8331d9c0babb8c1b', '2468133d68c5d533', 'f248e7fc45f1d3f6']; context = [[19, 63], [30, 69], [62, 98], [9, 54], [5, 36], [3, 37], [3, 44], [29, 68], [71, 113], [58, 100], [104, 140], [52, 84], [0, 33], [4, 48], [35, 69], [35, 77]]; loss = 0.017009 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 7019/? [1:13:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 7020; scene = ['d2fa1bffcfd89be2', '53cc747509e2f200', 'b35672d33db254ae', 'e677421f36adffa3', '2842943b1e2df882', 'e87e2f59ab625c36', '55595976706bb7a8', '98d47fe7993b4d5f', 'abe6335b937ba7c6', '0e895dab0c10b89d', 'bb3e352ee6959d9d', '1a7acfecead6ac94', '202804795c8dc7d9', '6ca7f051fa8000be', '5195d6199756de8b', 'aa1de687b9ca8b3a']; context = [[19, 53], [10, 51], [50, 86], [26, 62], [188, 225], [29, 70], [7, 52], [15, 59], [65, 101], [85, 129], [15, 59], [13, 52], [53, 91], [103, 142], [39, 70], [14, 56]]; loss = 0.013130 low_pass_filter = 0.300
+Epoch 0: | | 7029/? [1:13:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 7030; scene = ['cf018687808f36d5', '19a0fa00797232dc', '4f5ec8c578be5af1', '5db4d04ab50eab0f', 'ddfe26ffaad4843e', 'f14de1b30bec1006', 'a3f3e1d711df38a1', 'a71ed4c29df993de', '99a7922ce3f339aa', '0be69ba75c5ade6a', '236bb4371f0a9b0c', '9c4fa9d258707152', '6105fc9ae95a5ab5', 'fbd2be032d4d3e91', '8bc26f82dadee1c0', '053d861859d48b97']; context = [[24, 63], [68, 105], [14, 58], [83, 117], [57, 99], [65, 107], [18, 61], [128, 160], [23, 68], [12, 50], [29, 71], [64, 105], [4, 37], [70, 101], [8, 53], [104, 136]]; loss = 0.014213 low_pass_filter = 0.300
+Epoch 0: | | 7039/? [1:13:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 7040; scene = ['027b06f2adc07dd3', '3c0075229388998e', 'f03ca1e834ef0916', '3d486ee1ff467dd5', 'f2062a669b6b96da', '67c35b36306c68e2', '34ad016433539901', 'b3eb7d9489b53fa6', 'e654c951fe486a67', '1e655b97eff9ed44', 'beaba217aedcdbf6', '245ec87f817cf1e4', 'a25bf33f9d312013', '484a9bbc30003fcc', '480231b83d000bf7', '0dcc9979156d2fa6']; context = [[34, 65], [103, 142], [43, 75], [130, 168], [78, 114], [65, 107], [113, 158], [8, 40], [83, 121], [8, 48], [9, 48], [26, 70], [45, 76], [27, 65], [37, 70], [8, 49]]; loss = 0.015302 low_pass_filter = 0.300
+Epoch 0: | | 7049/? [1:13:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 7050; scene = ['f6144e0803cf99db', 'ef5ecd3ecdba311d', 'c7f3de0e032928af', 'd1a73a4f161ca352', 'd8f07d36280784a2', '9e785428a4e58006', '8ef87b7c44d0d34f', '36546f57fe0aabba', '30e8ddb0a05fbeb8', '2067bc7a2f40ceac', 'ae624122e849c8bf', '04c9aaeeaf23b306', '3d7f4990beac457c', 'c6317a4f94413891', 'afd6be78aa53d5ea', 'aa5911adda52a662']; context = [[21, 55], [102, 133], [40, 72], [123, 159], [48, 87], [11, 46], [104, 142], [24, 59], [88, 120], [68, 101], [36, 69], [81, 112], [14, 46], [5, 38], [26, 70], [8, 44]]; loss = 0.014440 low_pass_filter = 0.300
+Epoch 0: | | 7059/? [1:14:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 7060; scene = ['ac8de8815ae8902f', '47b3e5d4b3b534e5', '09a0b9fe4c9b0691', '8708a0e8c937038f', '6c450e26a09407a4', '026b6ccfcd08ea80', 'a10052fb69f15ffc', '3f30aa84e7305602', 'fb0040c94bea2a4d', '097b23d5ae2aa4de', '4907375e0a4de10e', 'd23794b5e86c3b7c', 'd33be1bdf678f485', 'c6cb7394690cc9e0', '96ba226de3006d1b', 'b7e287b139583003']; context = [[27, 70], [33, 70], [34, 66], [3, 36], [128, 170], [158, 197], [99, 141], [191, 227], [117, 158], [16, 49], [40, 72], [1, 37], [24, 65], [1, 33], [26, 64], [203, 239]]; loss = 0.013958 low_pass_filter = 0.300
+Epoch 0: | | 7069/? [1:14:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 7070; scene = ['df5540fab1da6f71', '9dfc4dda739a3e11', '06ed4433d2640109', '65b470993ef1dde8', '90e7d3a64eaa12dd', '2d94d673298a8c60', '49db70fd29cd9eff', 'b493f87408473e43', '1f432e6f464caae8', '829a13cbe007fab4', '2e29c7fb64bc21fb', '3bcbf64a56113736', 'e03c1f0fb97d8883', 'e32ddf4210732a55', 'a66aadfbd6edfe93', '8fe6257e14ab51e3']; context = [[5, 38], [69, 110], [213, 247], [3, 46], [41, 77], [49, 90], [41, 79], [15, 48], [45, 82], [36, 69], [76, 112], [22, 53], [57, 94], [53, 85], [34, 78], [141, 177]]; loss = 0.014321 low_pass_filter = 0.300
+Epoch 0: | | 7079/? [1:14:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 7080; scene = ['31bcb53f4ca71194', 'a4907d1efaa3785e', 'b51292c38f8bc5ad', 'a585bcd32ea73dfa', '926280a69f8502b8', '353b211a3822316f', '28666f5e7079f976', '7f43bd219054cb61', '1ba032383d3bb085', 'c3311420730e6cac', 'ea9527d030b6ef05', 'c5bae9ca0a44a650', '569a31463ad9186a', '49dc2074af110ab5', '095963cd5feab903', '201cd718375c98ff']; context = [[12, 56], [18, 52], [37, 70], [208, 250], [133, 170], [15, 49], [86, 130], [17, 61], [28, 72], [129, 164], [99, 130], [35, 78], [74, 106], [80, 115], [41, 83], [58, 91]]; loss = 0.012931 low_pass_filter = 0.300
+Epoch 0: | | 7089/? [1:14:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 7090; scene = ['552a181ec308df03', '5876f56d0bc87d02', '4f81fe7e11e4acec', '40b24bcf75266082', '94f9ffd4073cbe5c', 'ebcb03dca5747b8d', '6ce7c6f45fd9bdb1', '84efe2a29ea1c8e6', 'b43a1b56fac54da6', 'b49cd83707f4e6d9', '7457cffbf17059d3', 'cfc02e74d34eab07', 'ca14d8460220a7db', '141516040a08b640', 'b3859fc1eb5d926a', '74de8931f7ba3e6f']; context = [[68, 112], [127, 161], [22, 63], [145, 182], [84, 118], [68, 109], [10, 54], [5, 45], [9, 49], [63, 107], [64, 97], [27, 72], [45, 82], [147, 181], [56, 98], [5, 36]]; loss = 0.014058 low_pass_filter = 0.300
+Epoch 0: | | 7099/? [1:14:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 7100; scene = ['6ace98e323c6f352', '81286263fafaca2a', 'a9d5e40310332a6e', '34554bbf6e317a9b', 'fef7fa5e5acc8c7f', 'f8dafd3e3706f3f7', '189bd7b2cdea8c39', '9f1412556ab92212', '24713a3697de354f', '50224dd4b565bffd', '2fbef52fe146a7de', '8399ffab2ef259e6', 'e829e2f10cc26843', 'f91a3e9c7d43e2fb', '3e9238b90b96f5c4', 'ac240008d63e3e71']; context = [[66, 102], [38, 70], [65, 97], [96, 133], [92, 133], [17, 59], [113, 155], [188, 231], [23, 54], [14, 45], [0, 44], [14, 49], [34, 70], [69, 105], [29, 63], [80, 125]]; loss = 0.019254 low_pass_filter = 0.300
+Epoch 0: | | 7109/? [1:14:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 7110; scene = ['cf0312eed38c7994', '6ddba7bd6da995eb', '39bed9009ce3e290', 'e456788b15fc11a7', '059615f378fa72de', 'e85dd060153453c6', 'ad1ad4b8dc7b6e85', '14e15ca555529d1a', '3ead2b6b98af435f', '530058879ee605a7', '1302e9119a1cfa72', '26ce3e2c5766e010', 'd347f976ced5d74c', 'a9bf3348f1e83705', '8cff663bbb394999', 'a943ba6f8905b420']; context = [[38, 78], [29, 64], [62, 93], [64, 106], [1, 42], [39, 75], [17, 48], [67, 98], [221, 264], [14, 50], [46, 82], [23, 58], [7, 44], [173, 210], [77, 113], [37, 78]]; loss = 0.018946 low_pass_filter = 0.300
+Epoch 0: | | 7119/? [1:14:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 7120; scene = ['42023d3c17fea2c7', '065c17a5291afe4f', '7bf5d242551c800f', '12228ffb8fab1ceb', 'bed079cdbc26fe22', 'bc662fabb0cf45ce', 'e693e3a626e92694', 'fbac6f26c8753fac', '280b130eabfc284c', 'acc674156e787244', '3eb3cf4f286590da', '36bd4479d165593e', 'fcf546a53fb77c04', 'b8781f450d0adc80', '2ad7c534b9552115', '8ed0d973443d12a5']; context = [[5, 45], [13, 55], [38, 78], [49, 81], [191, 224], [125, 162], [5, 44], [13, 46], [8, 40], [16, 52], [168, 201], [19, 64], [28, 64], [48, 83], [29, 73], [68, 104]]; loss = 0.014765 low_pass_filter = 0.300
+Epoch 0: | | 7129/? [1:14:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 7130; scene = ['4af7dec0791abc1b', '4f049727be4632a1', '9e41975990090f8f', '37be8109577b927d', 'bd61fccd488024e7', '58563fe41bd85e10', 'd3591aba84464e08', '1c8a1e8e21e118d4', 'ac37a208ed2030a6', '0754475e197e45c4', '08b93081fdc7e4a8', 'c221f94fe940d767', '07d5b90cb76f75b9', '62fe02904a78396c', '01e5b8b1904b4622', 'c7f0f87a38472823']; context = [[25, 60], [17, 61], [72, 114], [3, 43], [18, 50], [163, 197], [10, 47], [39, 78], [9, 52], [19, 64], [57, 101], [11, 53], [27, 66], [2, 36], [21, 63], [27, 59]]; loss = 0.013513 low_pass_filter = 0.300
+Epoch 0: | | 7139/? [1:14:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 7140; scene = ['a9da01afd674bd99', '6ae9d28f3c48c184', '1590a87dc2447f1d', '7401e5b16bf66d1c', '1fc574d993b4ec04', 'c13076a68aeeb481', 'f5050ba38fb8123e', '985af15298bdcea5', 'b0831b553c2363e1', 'edbbab4152cdeb19', '74beaed0bda427e3', '3fb72160a021e835', '7f8c3b43ac10d37d', '4a1362e904d70076', '067f3748ffc16c67', '3eef59121f03d8e3']; context = [[107, 139], [25, 56], [238, 271], [9, 49], [136, 167], [15, 46], [6, 41], [40, 76], [138, 172], [15, 52], [43, 82], [142, 174], [35, 78], [5, 37], [10, 46], [51, 85]]; loss = 0.015935 low_pass_filter = 0.300
+Epoch 0: | | 7149/? [1:15:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 7150; scene = ['604b0838aa3321c5', '39ac79484bbe2f6c', 'bc2d4f6d0d0e3fea', '9151c2f15a875720', '16e12e72b21a2645', 'efdff0388832c105', '676cbdc02ccdf8f1', '48b1d1671b611893', 'fd9a2c6687286ff6', '0a23beedb4f886f9', '138291fb3890eddd', 'cabc4dc6e589e3f4', 'cc7d521f0185cc9e', '7a552ba445f3a4c7', '05ed7f84c7d34ed9', '7f838a041ae7c8c1']; context = [[150, 188], [13, 58], [32, 63], [141, 177], [16, 61], [19, 63], [3, 39], [233, 266], [23, 58], [18, 54], [23, 55], [54, 91], [23, 62], [17, 62], [120, 159], [71, 116]]; loss = 0.015973 low_pass_filter = 0.300
+Epoch 0: | | 7159/? [1:15:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.00train step 7160; scene = ['4e3d75f0a55f2f7c', 'd2bf3cc61876b88a', '61b9def6cdf00024', 'd61d4f9ba6cca3f0', 'bd141e65c0d97802', '5bd8b8a73a3dba11', 'dcac43c04eed0d13', 'cf3981617a02f011', '632cc28686be687e', 'c13c3c0d71138863', '34b318854773dd84', '568996052f219114', 'baac8918f8a08b46', '8d5108cb85063926', 'fdd6f733114f15e6', '3b3a6bb66a12f60c']; context = [[28, 70], [8, 40], [65, 96], [81, 117], [1, 43], [64, 98], [18, 58], [25, 57], [38, 81], [127, 159], [0, 33], [9, 49], [15, 57], [21, 62], [14, 51], [6, 42]]; loss = 0.014324 low_pass_filter = 0.300
+Epoch 0: | | 7169/? [1:15:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 7170; scene = ['e7b9cfc04402e96c', '5f1bd21bfc711755', 'bbf5bf0f5a0f9d48', 'e58d87c7ddb7fec5', '50ebba7498d9b389', '2cedb207ea3ce853', '1fe53207ba36202a', '4a36de0119c93c8d', '2422896efc729d12', 'bc38d6696f19b9f5', 'fb9c7ba5d2ee795f', '3a3123960a5b3070', '314588c4ee5d31ac', '2b51afd20f93fbb3', '7016fc88f085f2bd', 'f91b9393b23e69ff']; context = [[91, 123], [3, 38], [14, 47], [8, 44], [46, 82], [30, 70], [63, 96], [47, 87], [15, 55], [16, 61], [224, 269], [45, 76], [216, 254], [6, 51], [130, 166], [3, 34]]; loss = 0.015265 low_pass_filter = 0.300
+Epoch 0: | | 7179/? [1:15:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 7180; scene = ['4b102f93070a3ed6', '1f829cbaeb8d885a', 'c8e5456e22ba17f7', '828aaa4ab3a94b46', '5688fd61ce04c39e', '806744401add7548', '625674f984e26a28', 'b8544b241f453a4d', '6213e59075c114a1', '261a6357a974de18', 'a4a8061e9688865a', 'febedf46c67d1cb5', '7649b3021b8114b7', '3f7aa501636f4143', 'd387c92fcf771ad6', 'c6c7bbd3e677e11e']; context = [[82, 115], [102, 140], [7, 41], [97, 142], [3, 46], [9, 53], [21, 66], [10, 47], [26, 58], [30, 64], [6, 40], [231, 273], [62, 102], [74, 114], [172, 208], [68, 100]]; loss = 0.011975 low_pass_filter = 0.300
+Epoch 0: | | 7189/? [1:15:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 7190; scene = ['df1d3fa0c3580009', '6750ee6f269e3292', '1bf2ad010fbce70c', '160277a8ea84893b', 'db2e762460f62ca8', 'fbb1715906db0bf8', '08ce1e4ccb1f4964', 'aeb546089ce83e55', '8d7ae402a4c0ffe1', '1a082becf34d9d76', '8a373f69acc27107', 'c3d2af250bc1f3a8', '3da3497f8e19b030', '17a7065ae9a39fe9', 'dea74d1115ddc740', 'f0ed19231f1ca1b4']; context = [[43, 80], [44, 87], [44, 78], [150, 188], [13, 50], [72, 109], [1, 38], [2, 37], [18, 57], [7, 44], [1, 43], [85, 118], [23, 57], [10, 44], [138, 178], [88, 130]]; loss = 0.013409 low_pass_filter = 0.300
+Epoch 0: | | 7199/? [1:15:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 7200; scene = ['4b9fd6dfd1c41eb6', '2d9bf0af644a4494', 'd344923f1a1c98d6', '16345ec2abb57861', '6cf17692440379ba', '35e68001eafe0625', '00e891ea28c4bc5d', 'bbc0fec7981c5124', '4f8c73fecdab16ae', 'ad7947a403b94565', '8a1dd68a51ac5f9c', '403afcc00cfc8172', '167a09a40e849d22', '496079fb3b9f65c9', '8e3c9a3eb65b2395', '4e1f3bd33271ea07']; context = [[13, 57], [10, 42], [12, 52], [4, 35], [35, 66], [40, 80], [45, 80], [143, 175], [1, 37], [35, 66], [161, 197], [46, 78], [28, 60], [72, 109], [62, 100], [6, 37]]; loss = 0.016425 low_pass_filter = 0.300
+Epoch 0: | | 7209/? [1:15:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 7210; scene = ['a38d3d9b759c3d1f', 'bfa7d20229fce5df', 'd734045a34c24908', 'eef83fe97cf15f7f', '558803dadd5c8679', '2aef3ad326754282', '607df63ac84ed24b', '3ffaae059b8246c5', '10af229200d8e189', '7fd22122081822e6', '03b200f98be1abc1', '02e2b6f027f4aff9', '74dcad37801d064a', '7b68110a36d9b598', '1e6721a318a0011b', '1a20aac3a317d67e']; context = [[70, 111], [62, 104], [0, 38], [8, 42], [52, 84], [17, 59], [173, 209], [169, 208], [51, 86], [148, 192], [39, 78], [47, 78], [1, 37], [83, 115], [43, 79], [86, 120]]; loss = 0.018481 low_pass_filter = 0.300
+Epoch 0: | | 7219/? [1:15:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 7220; scene = ['4a8f8b21796393e6', 'c122c6a6293b925a', '40b370bec84fd8cb', '150198f7793edc35', 'ec2477f0b97a9a14', '9f7f2606c72b341c', 'fe69d8126c17d637', 'a4a8740a20b9b520', 'd1f0ebd0c998bc9b', '75b28cb51ce70d61', '29083f8a2740b8a4', '64f3dc85ebeab210', '26d24a4ffa345a72', '68eb823dcf7a80a4', '547338d589ed1725', 'e8201a41f5af1b50']; context = [[68, 101], [5, 39], [39, 71], [139, 183], [13, 44], [33, 64], [33, 66], [112, 147], [72, 110], [9, 54], [36, 72], [61, 102], [98, 129], [58, 98], [6, 48], [47, 90]]; loss = 0.013379 low_pass_filter = 0.300
+Epoch 0: | | 7229/? [1:15:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 7230; scene = ['b65863a15772e174', 'b9cd0f2e9e584e51', '4ef1645bbc2b9b3b', 'c0fb6421c9b93219', 'b16dbacbc44d0a20', 'd8a689c565481aa2', '83e4178afe56944a', '155bc9ea0b7045f3', 'ee079178fb4365b4', 'a8f58cf3cfa1721e', 'ca8a80c5476e3417', 'b9df51325a6cf55c', 'f3978031a0b4a7d1', '9c7b1860a85da12d', '82ec2255f46aebd8', '1ca2d634683d737c']; context = [[107, 142], [29, 68], [54, 93], [3, 39], [0, 31], [5, 43], [15, 50], [78, 115], [73, 110], [102, 139], [82, 120], [16, 56], [6, 47], [49, 91], [22, 60], [0, 31]]; loss = 0.012778 low_pass_filter = 0.300
+Epoch 0: | | 7239/? [1:15:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 7240; scene = ['52c039e662bd4698', '7555eb436f9bdb19', '122a42c5df06bb9b', 'd2df3cb4a3676f92', '8c112e57871587ad', '0e90e8b5008fe7f6', '4691807a2eeea596', '55526866fcf56e2a', '5249fc770c2bf279', '88c9f100af32569d', '99bb3f4e5d3f27a6', '67c43a84148a0be6', '6a624121b4cb59ff', '602ac555f082c9ac', 'b82d4345c56e2df9', 'a462205ad0ca18b4']; context = [[32, 67], [104, 137], [80, 116], [166, 202], [27, 63], [0, 36], [114, 151], [86, 129], [36, 77], [5, 48], [23, 54], [57, 96], [30, 73], [89, 130], [102, 145], [74, 114]]; loss = 0.013299 low_pass_filter = 0.300
+Epoch 0: | | 7249/? [1:16:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 7250; scene = ['4fe25643ef91f4a3', '8f15c5ccc01cfdd5', '3218c763368e277d', '12302e01dbbf3067', 'dedb887c8670af93', 'd48eac88de473e67', '84670c3b39f59b38', 'ddddc748525fe644', 'a9883648d75c17d9', '175e51612f25a50b', 'd93481fba83bd8fd', 'bc511cc4f1d7233f', '51bb0c8ae922384a', '581c49e2af966b76', 'd8e286da30daba52', '61b1d777f52e4daa']; context = [[15, 54], [145, 177], [15, 57], [186, 228], [101, 142], [98, 130], [11, 53], [49, 80], [4, 36], [38, 74], [10, 44], [36, 76], [83, 115], [26, 70], [212, 250], [64, 106]]; loss = 0.014658 low_pass_filter = 0.300
+Epoch 0: | | 7259/? [1:16:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 7260; scene = ['d4c1ca9db3ae248d', 'c5ad02d4208d2cc7', '8bc4be24233cbdf9', '76591f97fbcabbfe', '88083e09dcd71e86', '073556c6f86adb40', 'b6b2f105982f9a00', '3894d7d61208aea6', 'edc9dafac45cbf07', 'f9563ef596b8da98', '70208f76bbe5a3ec', '754159c603b415d0', '0c356c0a7387d4bc', '4d2c5111281f762e', '855c09afe59dfa4d', '9ee4108118cb3e30']; context = [[34, 68], [162, 196], [79, 120], [6, 40], [201, 236], [1, 43], [69, 105], [42, 74], [8, 49], [8, 52], [16, 58], [10, 46], [75, 111], [78, 115], [29, 60], [80, 121]]; loss = 0.014123 low_pass_filter = 0.300
+Epoch 0: | | 7269/? [1:16:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 7270; scene = ['5cb8558bd4aaf4d8', '8e4365b878891659', 'bb4d90f443abcd12', 'a3497717aecbe4b9', '6ec4558fea67e2b1', '8b0b551bb5fc559f', '2d5a4f21da8702a6', 'd4db2b68a221357a', 'c557903d54996163', '9599db2dd3e25c9c', '51555d560a1c714d', 'af61461e40b625da', 'bd92bb36b1026a0f', '36b14dae8e014698', 'e20055fae4f5d668', 'b23030ad8922e34d']; context = [[214, 246], [1, 42], [4, 46], [5, 41], [9, 40], [14, 54], [24, 65], [77, 112], [41, 79], [49, 83], [71, 105], [48, 86], [79, 122], [28, 59], [33, 65], [75, 118]]; loss = 0.019327 low_pass_filter = 0.300
+Epoch 0: | | 7279/? [1:16:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 7280; scene = ['2fb09555bd650643', 'e0defe5ba621bc9a', 'b3992ad0aff60272', '791a8c311bda31d0', '2535d1b64b03e1e7', 'cc86a5c7153ad651', '7f13d0519277357a', 'e20bcce405ebc05a', '804c8a7e019f74c9', '4dbe8740d992c3ff', '8130ec78d068528f', '01c2018ab9fca9bb', 'f447bda6e847100a', 'ebc5a6bd55511e51', 'fdeb338cf4c3ce7d', '67f532ee7b3422e9']; context = [[30, 65], [12, 56], [3, 48], [41, 84], [22, 59], [16, 61], [9, 45], [65, 103], [40, 83], [158, 196], [160, 202], [79, 119], [8, 51], [96, 130], [8, 50], [33, 72]]; loss = 0.013963 low_pass_filter = 0.300
+Epoch 0: | | 7289/? [1:16:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 7290; scene = ['a8f58cf3cfa1721e', '4416880d36381ea6', 'ee079178fb4365b4', '9c7b1860a85da12d', '335bc1c605a5e189', 'dbc167d7cf153052', 'ee481b1c6840cab2', 'a994e2ad8bb51468', '008f94cc8929340d', '53d9d2f566db92bc', 'e83c04d688534f23', '75b0b9b13b2662e3', '8a75cfb4b5c3e4fb', '6cced5003224cecc', '29ed0bda807c792d', '7549d247178ac57c']; context = [[99, 139], [49, 90], [46, 91], [59, 100], [11, 52], [107, 149], [203, 244], [16, 52], [96, 138], [2, 36], [12, 46], [41, 80], [11, 42], [14, 54], [68, 104], [63, 100]]; loss = 0.011613 low_pass_filter = 0.300
+Epoch 0: | | 7299/? [1:16:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 7300; scene = ['cdd05c94565f582b', '34a4ac9e949f4c06', '48fc4e22319b4fde', '8e30c261124dac91', '07ad9abe325f7a7d', 'e5f3f15563142757', '35f8340a1b25d459', '9b5af8dcc2af29a9', 'b66e0f230ed3f06c', 'a67c4edb735cc1b8', 'a47b488c572774a3', '41e59871b42221a1', 'ecf309ffadd46a42', '49cdc18c361f49a5', '57826825f0963678', '1a3494f9652bd1d6']; context = [[63, 95], [148, 192], [30, 65], [22, 61], [0, 32], [24, 59], [40, 76], [24, 59], [193, 234], [14, 52], [32, 77], [158, 201], [9, 54], [35, 73], [1, 41], [30, 73]]; loss = 0.014971 low_pass_filter = 0.300
+Epoch 0: | | 7309/? [1:16:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.00train step 7310; scene = ['6f34a86f2f4705cf', '9c7378d4e255abd9', '44396867de9739b8', '27653232d3379a9d', 'bb93cd27d7051f75', 'bc8608840a05c70c', '2c78dbdf9d9bc7a2', 'ac603e15d0daa94d', '0505defd59ecbdb2', '8fc141c868e7d6f3', '9f1176b8b75fa7c7', '5682c35475096f09', '5cf42e59740b8d9b', 'fa2b6fa80b99125d', 'eeb5c563af1bd027', 'a17833025aa5db5d']; context = [[22, 59], [7, 42], [134, 170], [26, 71], [9, 46], [34, 80], [1, 32], [9, 55], [25, 61], [31, 75], [34, 71], [13, 48], [36, 70], [19, 50], [2, 39], [24, 65]]; loss = 0.012920 low_pass_filter = 0.300
+Epoch 0: | | 7319/? [1:16:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 7320; scene = ['d8af4b4bd916921c', '7e8c9830537de3fb', 'e18a4b06e5cb8d8e', '34395b11b2913023', '0d8ee00c443dfbcc', 'a31126062d4f7523', '2403255d91f4108a', '30c73eeac2721d1e', 'bba9c4e1979810b5', '740c1fccd9bf4e71', '4491a520e2ef3b25', '59ae4ac63c0a11df', '32b8efd8ec5394cc', '8c2797e7eb81c6ad', 'e3baf1d4f5ef2f7e', '7fb2739d6c495d53']; context = [[1, 36], [92, 129], [80, 111], [0, 46], [229, 265], [49, 95], [33, 68], [8, 39], [18, 53], [54, 99], [25, 58], [21, 58], [17, 50], [47, 87], [1, 42], [13, 44]]; loss = 0.011787 low_pass_filter = 0.300
+Epoch 0: | | 7329/? [1:16:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 7330; scene = ['5230034fddfd04b1', 'f7d531d5b331ea55', '017e1523950d074b', 'b9e116b141210ec3', 'b2ef256ba056dc78', '2b5a333d84c3b569', 'afa9df1446e5df8e', '8bcb48e9d7748a8c', '30a135d3ff9582e9', '5dcf95219a40b46e', 'ae8dc35121d72fea', 'd24dad7b6836ed3d', 'e816595b84559b3a', '67cd18bf2128ba76', 'bec4d71b7c7995ed', '14cb8b8217e05c7b']; context = [[11, 46], [175, 216], [7, 45], [121, 158], [68, 108], [28, 70], [3, 43], [111, 154], [106, 148], [15, 60], [62, 103], [4, 39], [25, 60], [8, 43], [116, 148], [32, 70]]; loss = 0.013623 low_pass_filter = 0.300
+Epoch 0: | | 7339/? [1:16:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 7340; scene = ['538edda415ed2de3', '57faf061b07006cf', '20153915281668a9', '7a2ebd077df75740', '56660fe55435e0f3', '430570672f036840', '3f73de068d60f46c', '26082fc7b0489437', '2ac22d87de85c86f', '21a23abebca8c840', '52a4f713b01a5a58', 'c2867dde9ccb0b7a', 'ae8188346d8f99ac', 'c647b5c9b5ff2e0c', '4e4199248d302a7d', 'db4676b09d10dbd5']; context = [[66, 97], [207, 251], [17, 61], [13, 48], [126, 159], [51, 89], [26, 67], [138, 173], [76, 121], [15, 49], [11, 51], [17, 49], [19, 65], [86, 122], [92, 131], [21, 59]]; loss = 0.017088 low_pass_filter = 0.300
+Epoch 0: | | 7349/? [1:17:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.00train step 7350; scene = ['ffae0c358d55ccd6', '2054cdda3bb0e2fa', 'c6c62fcc26699f1c', '663a8a7582d050fe', 'deefb03aaa86c7bf', 'e68962be9d5fa78b', '070e03b0709a0c7a', 'bbb9d583807930d7', '7d9927959e97ee1a', '75d62d0707d1240e', 'c8b2e4d3f9fe541a', '8062e068d364879e', 'c098a117d37c1b11', 'f8ff67683c2323b8', 'dfb585600cfa6d6e', 'e79688995a05442e']; context = [[51, 89], [55, 96], [24, 61], [46, 92], [79, 124], [27, 61], [235, 266], [67, 108], [15, 49], [166, 197], [115, 160], [183, 223], [178, 219], [156, 199], [83, 121], [28, 69]]; loss = 0.015604 low_pass_filter = 0.300
+Epoch 0: | | 7359/? [1:17:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 7360; scene = ['a32fe83d6c449e61', '7dd0a2cb537a6cd1', 'acd56b77308abd23', '2075c775ac7a6381', '293f5ffbb5082083', '728376a4318ffe7d', '8cdb12bd42a46170', 'acb20b13a0dad323', '2efa09163cda1ed1', '84447062de7df76c', '4ef76ea7421ee560', '704e995f7c1123cd', 'd4c45283a9071d8c', 'af428b0001dc3f57', '08aa99b304f37fbd', '787d7c78016b9608']; context = [[40, 73], [40, 84], [1, 45], [37, 70], [10, 50], [74, 108], [29, 61], [102, 138], [8, 45], [32, 72], [25, 71], [33, 70], [15, 60], [107, 143], [8, 45], [105, 140]]; loss = 0.013331 low_pass_filter = 0.300
+Epoch 0: | | 7369/? [1:17:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 7370; scene = ['b834132c33d9fa41', '837023dfd3353d8c', '5a12859bbcfd8ac3', 'e612d7ac6a0649ac', '9bddf9777577b540', '5065b9cb94d891bb', '0c2dec20ab27ba71', '7973781f09bbc41d', '95683816b2782fc2', '8e9c5434edb7e43d', 'ef767501ebc1cb8a', '2f87265d1c21584c', 'e6b5da607845c44f', '664a0d29187fa61b', '905d59bf1924b3cf', '0b4dda84eff7509b']; context = [[45, 79], [33, 72], [12, 56], [20, 60], [115, 158], [210, 241], [117, 151], [30, 68], [4, 45], [95, 141], [20, 58], [42, 85], [61, 93], [104, 137], [0, 33], [137, 170]]; loss = 0.012618 low_pass_filter = 0.300
+Epoch 0: | | 7379/? [1:17:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 7380; scene = ['7278dcd3b41b79ad', '148b9a00c5e3819f', '1c9b60acd10b1b50', 'd5d4754a622a8d8c', 'a4c54b44e8925978', '563ac18d3e49036f', '3bba2b7423f82ce1', '669607c93c7e99bf', 'a5d85a41a23dabd0', 'a914c4162edd8d0e', 'a96d7b2ecc0ea4e3', 'd06af1bc943531fc', 'bb245e3f9206f612', '34c96bdc74c6b6d8', '68e2ddea0c2ec494', 'fd3be851a1af9e35']; context = [[38, 70], [10, 56], [38, 80], [45, 91], [15, 59], [16, 51], [24, 57], [28, 67], [85, 121], [16, 59], [101, 136], [2, 35], [61, 97], [14, 52], [204, 235], [46, 78]]; loss = 0.011906 low_pass_filter = 0.300
+Epoch 0: | | 7389/? [1:17:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 7390; scene = ['4b3e4f4d3056fab4', 'b0670933a991df6e', '455a903202bfa5bd', '4ba206eba37d151b', '07fd6a44d21b457b', 'efbe08239d06ac95', '6a2e10d9556a58b7', 'b0b3240de28896a7', 'c91b2a4cab7956e6', '1322b809c6385c6e', '4790c19bc4ef4700', 'daf1b72247607b04', 'daa7f78ff49a91e7', 'a110555f597cd182', 'b3270974687b5968', '4894ab3cd1054344']; context = [[151, 189], [23, 56], [98, 132], [11, 47], [46, 79], [41, 75], [11, 51], [4, 44], [3, 45], [0, 39], [58, 98], [33, 73], [16, 53], [101, 134], [98, 141], [129, 164]]; loss = 0.015636 low_pass_filter = 0.300
+Epoch 0: | | 7399/? [1:17:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 7400; scene = ['c0c88568d1223b9a', 'ebe5c67aecd20a4c', '0f7bdf40fd6390b2', '576d18e9ac5eff2d', '6d30b36107c16f16', '86d838e5d630a422', '59fa40dbaab9e111', 'eb1767752a703a9d', '07c89a68dcef8612', '974c3242a9b9235b', 'f8f5cfd5d0fa9445', 'fc5da443c87e1f5f', 'e19012d407814425', '0829c1a138f723e6', 'c1383a64b7fccaaa', 'b2a3ae17cd8f611e']; context = [[68, 106], [39, 71], [26, 61], [98, 142], [163, 201], [31, 69], [9, 40], [6, 48], [31, 66], [22, 57], [123, 168], [76, 109], [40, 83], [146, 188], [174, 210], [25, 68]]; loss = 0.013771 low_pass_filter = 0.300
+Epoch 0: | | 7409/? [1:17:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 7410; scene = ['a6fe568fafe9518c', '5f42c04b5ea03b53', 'be744a8b88c60270', '525add463a74fdf0', '00f0764e16d6b22f', '91641027c5a42937', '6b1df56d16c76f89', 'a62149ceb725ed31', '757f82503cd805f0', '329876629ae215e2', '5744343c3743a903', '6da9d447d687367d', 'a16ab48a335c2363', '63931c43c4ca2218', '96a9a981e60cf27a', 'a117f67a8c5faf42']; context = [[26, 62], [6, 41], [26, 66], [4, 40], [47, 93], [21, 65], [28, 59], [33, 78], [4, 39], [31, 69], [54, 92], [42, 75], [23, 67], [5, 49], [82, 115], [5, 50]]; loss = 0.012072 low_pass_filter = 0.300
+Epoch 0: | | 7419/? [1:17:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 7420; scene = ['075ff1aa1c151ebd', '216a66f91f256578', '9329526037966689', '47a9b1e96499a466', 'd15566035f9fbe7d', '0103470ec734c444', 'e1189502481320fa', '3794fd5855929cb4', '9214c3dce7de3f01', '569da609d6f1d8d0', '832722d3bc8ca01f', 'fbc1ce735bdab6e1', '506c40b3157c0351', '068140a5d1f52e7f', '6e35cce189eaf2ac', '1b166f3cc64364ae']; context = [[134, 172], [31, 73], [55, 86], [56, 94], [40, 78], [52, 84], [0, 40], [16, 55], [52, 88], [15, 61], [43, 76], [10, 51], [78, 113], [0, 31], [11, 46], [82, 118]]; loss = 0.013920 low_pass_filter = 0.300
+Epoch 0: | | 7429/? [1:17:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 7430; scene = ['eca127496e1660ea', '7eba39d96769f1f3', 'e1eaaeb084992db2', 'fad05546fba5dace', '6ac14f7de01b3021', '88b43de931cc94ac', 'dd409b33f3f5c29b', 'dd0418fa73c25b1e', 'fbfb9866efe5bf64', '92cffae82bfb22ce', '644baf494fab7ff7', 'a987dc34de0f7d8b', '8ca0262e75fd9f8b', 'd81f183e644ae7fe', 'dca4d9700ae80a91', 'e9f0dce281fc1ef2']; context = [[80, 121], [122, 162], [23, 67], [4, 44], [12, 48], [21, 61], [79, 123], [31, 63], [56, 91], [7, 52], [57, 91], [96, 131], [10, 49], [0, 38], [62, 100], [1, 35]]; loss = 0.015144 low_pass_filter = 0.300
+Epoch 0: | | 7439/? [1:18:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 7440; scene = ['2ef0eef67b3b538b', 'd3af8e3b7f354487', '9954c518245b7322', '3a06d7ebb3cb5341', 'caa51283afc66cae', '164e9587927eb0e9', 'cf91287a73911ff5', '9839acd64985ac6b', '957517b6ed4d0048', 'a9b437c1a771c642', '8e1c0bc2d1f32fb0', '0ed741df4437c6ba', 'da0f564e5210d09f', '51b04fd9435b6853', 'fb862259dcc8a0aa', '7257497d7ddefa3f']; context = [[6, 41], [166, 212], [8, 52], [15, 48], [17, 49], [41, 82], [90, 123], [28, 64], [56, 87], [11, 49], [9, 46], [7, 41], [94, 130], [40, 82], [2, 36], [39, 83]]; loss = 0.016164 low_pass_filter = 0.300
+Epoch 0: | | 7449/? [1:18:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 7450; scene = ['eebfd07c5aeb7eb2', '16d1fa87a1f564fa', 'f557a8939e2e48c8', '6fc4cabd42daaf63', '425386b8c72dc44f', 'bca122ebc3c7e145', 'f22ef1d4163a72b2', '2ea89db4267fbfe3', 'b878dfc4a56ec619', '39fb4d9b5a1a1a52', '9aa2344ab1fce074', 'e4da6ce76e7c98e0', '26d5677e0637ed14', '1ba3ae46eda9f013', 'afd894a4b5460a20', 'f6dd643a4e792839']; context = [[33, 66], [85, 131], [55, 91], [45, 90], [30, 69], [50, 94], [15, 59], [35, 73], [30, 67], [5, 39], [37, 79], [52, 97], [82, 118], [4, 49], [21, 57], [14, 53]]; loss = 0.015743 low_pass_filter = 0.300
+Epoch 0: | | 7459/? [1:18:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 7460; scene = ['5f50dee192160381', 'd312a48eec9207af', 'c4a00d6ff8529867', 'af929bef74892ce6', '8860d3251307030c', '3cfb633b947bdfe3', '5bece91c5864e528', 'a26363624d7d2ebd', 'dd709a76c4ade039', '92c6b068eef863c1', 'd5272681859ac87d', '44832125f07d776b', '95e2ddd4cdde4c5f', 'd86fbb8ba2bcee27', 'd19836a61f80f65a', '815e194dbbd8df15']; context = [[60, 102], [87, 133], [0, 37], [54, 87], [40, 76], [135, 173], [30, 61], [17, 60], [4, 38], [41, 84], [37, 71], [18, 55], [24, 68], [57, 98], [146, 179], [218, 251]]; loss = 0.015589 low_pass_filter = 0.300
+Epoch 0: | | 7469/? [1:18:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 7470; scene = ['4476b4830410d1f3', '9f2c2dd173501b7f', 'd0eac6db1192f430', 'f01be21299d4a10a', '12d37d2db81cfb78', '3c0b04f2b0fa6193', '8f96818fb94a0c1d', '0b807462ace59b05', '153bce3dee55a133', '42a118392a6d7d4f', '13afba22192e2919', '9b61fc10394e9714', 'c133fe1ba03631b8', 'ee605ae319bbb3e7', '6c63e747c6ccac2e', '883cb5e4ab95ebe6']; context = [[0, 40], [15, 56], [148, 181], [6, 45], [68, 103], [1, 35], [108, 154], [1, 34], [15, 61], [6, 48], [25, 71], [0, 33], [160, 191], [66, 98], [47, 87], [1, 32]]; loss = 0.015906 low_pass_filter = 0.300
+Epoch 0: | | 7479/? [1:18:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 7480; scene = ['026013ca541c30da', 'a02a9658551d219d', '1b91d2fcbd0b384b', 'c70fbfe2ea94f606', '665049a1c88afbac', '46f0491eb7365360', 'c49dfdcdb8ec5967', '6a140ea6d457efae', '72271741f674be7c', '540bc85f7c1b643e', '25a066a44d4fbfe2', '11d0d75085bf9ce0', 'ee308e09e3e799e5', '2a5ba4ced1bda07c', '86c89319605a764c', '1f74fa521c9ed662']; context = [[50, 82], [2, 45], [8, 49], [35, 81], [14, 50], [17, 55], [27, 68], [33, 74], [71, 114], [67, 109], [65, 99], [5, 41], [24, 66], [0, 42], [37, 75], [14, 56]]; loss = 0.013877 low_pass_filter = 0.300
+Epoch 0: | | 7489/? [1:18:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 7490; scene = ['011dbae1fc189e93', '155150e0808b2cc9', 'e02550d614fcf86b', 'a894ccf3eeda06d0', '12a243154f1d35c7', '3555b2375c745e15', '8d33d96639017dfb', 'f65e996baf4b1ec9', '138897ef44f4eafc', '9b3fb4f4d069bd9d', '2813dec48dc3a359', '012d97c9aa0ae783', '21c4e3e47db3ec1b', '78e816776b064fc4', '79446141205e4f97', '29c5fa6a83baac7b']; context = [[24, 55], [164, 210], [62, 94], [35, 70], [82, 118], [41, 85], [0, 42], [105, 146], [188, 224], [11, 56], [102, 138], [70, 102], [10, 52], [14, 45], [27, 64], [70, 110]]; loss = 0.014749 low_pass_filter = 0.300
+Epoch 0: | | 7499/? [1:18:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 7500; scene = ['4169b1a0d60a2570', 'da4089450625c919', 'ee75648a918a075e', '98b8ce7ec5136f36', '2605fa738da22f6b', 'c69dafa3925513e6', '5e7fb96b9b2254db', '2b5827ae7ea29a23', '92eb19ba377c51b1', '87ae4812a3561fc2', '95de3fd23a9781fa', 'bb257de5acd70846', 'd4e2a25798b8bd8c', 'ebaeb44a88de9332', '94418a5db600cc33', 'd23843ee6485a4ca']; context = [[52, 88], [8, 40], [112, 143], [38, 78], [168, 202], [14, 50], [109, 146], [28, 67], [1, 39], [11, 51], [13, 53], [28, 70], [76, 114], [18, 55], [0, 43], [169, 202]]; loss = 0.018778 low_pass_filter = 0.300
+Epoch 0: | | 7509/? [1:18:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 7510; scene = ['0a042bed0ad1e401', 'e97617b00097605d', 'd7154ee69ea14c61', '90f08800a0e95efa', '4d2c0f16715e0c6f', 'c6445c21aad2bcf1', 'a050deb6d503757a', '22d5f3a76b94182a', 'cb6419023897e80c', 'f87609d5183676b7', '6dc6bdc8ea4b6034', '419b6989160e3606', '5ca47925cdd3c7ce', 'db9a1ba4eab8b3c9', '246a0bdee01d12f1', '5816deaba41a899d']; context = [[6, 45], [27, 58], [18, 54], [31, 68], [202, 236], [54, 88], [63, 107], [5, 49], [46, 82], [18, 62], [60, 101], [21, 60], [120, 164], [4, 35], [14, 53], [1, 42]]; loss = 0.012239 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 7519/? [1:19:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 7520; scene = ['738ae827526dca1b', '6d4d98de946cf7ce', '8d5262c58268131c', '92edfb92210ccd71', 'bc374c97598fb019', '986540962d8f80a6', '96b0f3e7562b891e', '885dcd6c9641079c', '230b85cf6cccf2e0', '0dcb0cad41a1f81b', 'df02062f22ce3542', '607eede38bbe564b', '73b60097c7485165', '8affd428b7e77951', '35f41e622d274260', '3c52aba6279f277c']; context = [[22, 58], [28, 72], [81, 112], [150, 188], [0, 31], [1, 32], [6, 41], [109, 151], [34, 80], [11, 56], [128, 165], [141, 187], [13, 50], [101, 139], [30, 74], [7, 43]]; loss = 0.011821 low_pass_filter = 0.300
+Epoch 0: | | 7529/? [1:19:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.00train step 7530; scene = ['927d7dadc0042ba9', '5a39d610506d097c', '55aa00838683a8c7', 'f30d96407e2302c4', '9160af07eb1e5fc7', '9b08c4ed15d2ada3', '91de1dda1b81900a', '649e273139a4154d', 'b63e4698070a825d', '6c19062171a4f85d', '9beac3cf904bf329', '7eecdc047fa4f61b', '47e89e797f97cfce', '4f014cce9cf0b823', '1ff6f068edd2bc64', '81ff93a784a29510']; context = [[11, 45], [77, 119], [21, 63], [15, 59], [9, 41], [40, 75], [2, 33], [97, 133], [77, 111], [44, 82], [39, 79], [116, 152], [102, 148], [110, 153], [48, 84], [23, 56]]; loss = 0.016509 low_pass_filter = 0.300
+Epoch 0: | | 7539/? [1:19:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 7540; scene = ['9a10d4b47d4c3b2a', '47d92524baf3c7fa', '81b75edec9e7564b', 'e8e7f9455eb59fad', '355663af90d2391c', '8e178e5791592e45', '87b5b7b36ca1c6c8', '996208a794d41f95', 'a698c4ba4ccca74c', '24b67dbb503a87b7', 'be06cb0dddaf9da6', '9059042bbf51985f', 'bc21bacc627a1a97', '07e43ec814c3ae7f', '32e02be2574101b2', '80f05cdda5f934d4']; context = [[46, 88], [6, 52], [22, 67], [53, 89], [14, 50], [54, 86], [5, 47], [7, 47], [7, 52], [7, 52], [229, 266], [27, 58], [18, 49], [84, 129], [8, 44], [28, 66]]; loss = 0.013211 low_pass_filter = 0.300
+Epoch 0: | | 7549/? [1:19:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 7550; scene = ['4f1be8aaa56444b5', '010571c8c397a29c', '457bf2a6a77fda7f', '6b88ed77e287df4d', '8764351a0a93925c', '638d352a194d1acd', '76c9ccab60f76b18', 'fb4346a6849d5886', '39cfbb3c3f5bf6e2', 'fec0013fa8a83032', 'f1d71185915ddf80', 'b89cbbb0164025a2', '6d0370efb4d83ef1', '7c7a9725a5839a48', '9c482c331ed99f27', '80d75f4bfeeafe44']; context = [[136, 181], [66, 104], [2, 43], [8, 54], [97, 143], [1, 47], [21, 65], [76, 120], [10, 50], [198, 241], [50, 91], [25, 68], [145, 178], [133, 175], [215, 255], [81, 117]]; loss = 0.016203 low_pass_filter = 0.300
+Epoch 0: | | 7559/? [1:19:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 7560; scene = ['5ef9175d9520c85e', '635f16dbf0ef291b', '5ae12d62fcb5394a', 'f3313aa3e401cee9', '34b4e9d9f2f89286', 'efc65de7bfa7d9fb', '94a390910c87e459', '13d6c8b2d99b5984', 'feee8ecf69a70f22', '78ee44257f9539ef', '4f4da706cafe1656', '0fe21abff5401005', '721994e114f4ec69', '285ea7b514670328', 'd1df92cb4831bf68', '9430c9da009b1ee5']; context = [[28, 63], [28, 70], [124, 155], [133, 165], [16, 62], [0, 46], [10, 50], [177, 216], [10, 55], [40, 85], [22, 55], [50, 88], [53, 84], [15, 53], [26, 64], [27, 60]]; loss = 0.019711 low_pass_filter = 0.300
+Epoch 0: | | 7569/? [1:19:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 7570; scene = ['154abb0ceaa93fa5', 'bebaad423dbc6559', 'f9dce301ef2deb7f', 'b1057c3128c831cd', 'cf36ce207f8f1da3', '6be17def702490e3', 'cd1772d5472a994b', '20bdf8e95b77420d', 'a47515dac8f66d3e', '7534cb5edec5f0a5', 'b81f8affbd4806c4', 'b175f82961daad12', '821c639455378f86', 'b2890a9df7df5d67', 'f22fc2b3c9f19013', '2fc24e6aa1333070']; context = [[81, 113], [53, 94], [145, 182], [20, 51], [35, 76], [15, 48], [15, 46], [23, 57], [33, 78], [51, 93], [52, 93], [0, 31], [15, 61], [73, 112], [46, 82], [21, 52]]; loss = 0.014173 low_pass_filter = 0.300
+Epoch 0: | | 7579/? [1:19:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 7580; scene = ['87e45ed261b24574', '2a08fac923c9e50d', '068a8406f1a383d8', 'ddc9f94d295eec5d', '5ac9002c4bc39722', '05c6dc05aaf40f45', 'da034370416efee1', 'a362305625fafb20', '51386d82afab8d56', '7b62fb3c45fc7d30', 'f7bb1f4325835c79', 'da6bfbd9e35142fc', 'f9f0b8d2cab24650', 'b3019d4573e524f7', 'df8de2e508f40cc1', '9e347718bede110f']; context = [[110, 145], [0, 35], [1, 35], [8, 45], [147, 192], [48, 90], [239, 278], [47, 87], [6, 41], [25, 57], [6, 41], [129, 175], [153, 186], [20, 58], [0, 31], [0, 33]]; loss = 0.017084 low_pass_filter = 0.300
+Epoch 0: | | 7589/? [1:19:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.00train step 7590; scene = ['51154114c19beea2', 'e02bb6e43f5c3de3', '516fc0a4601647e1', '66e4f3268dafe823', '4ad63c0c1a8d9798', 'b382a321245b2789', '2e4cb954129dbba8', '33eca79b369a3ed1', '6a7fec6b244c5d59', 'ee05b13cdf928ba3', '9cb320f193eedcc2', '80fcc07f0180ae19', '5e8fcb22d403ff9c', 'dc7969f442e319bb', '1a9297aa64507e8b', 'd89dccefb162fa07']; context = [[18, 49], [7, 42], [2, 42], [80, 125], [207, 249], [52, 84], [89, 133], [100, 132], [80, 123], [21, 55], [12, 44], [4, 35], [12, 52], [38, 74], [3, 37], [54, 100]]; loss = 0.011403 low_pass_filter = 0.300
+Epoch 0: | | 7599/? [1:19:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 7600; scene = ['11bbbb9cfaeb5648', '017ef8db381dbc1a', '750422e3d91a76cf', '16d445ee789b9ed5', 'b6cd9bd4f4f98f8e', 'f8dc18eff5dca935', '1abfeb0eae4d3613', '87ee1eeec80ccfa3', 'cfdfcca42ae7baba', '5ac07c8fb70b5635', '72a9d8a95167817d', '62602df4d400f42e', '5c4f4ad90a5f0b13', '189c0ea685eb4a48', 'e2ab64a2bdf0d0be', 'a5d3815f564f25b1']; context = [[238, 276], [16, 55], [16, 61], [50, 81], [8, 54], [49, 80], [30, 64], [17, 57], [34, 74], [87, 125], [28, 66], [153, 189], [12, 52], [11, 55], [48, 85], [35, 74]]; loss = 0.015394 low_pass_filter = 0.300
+Epoch 0: | | 7609/? [1:20:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 7610; scene = ['f2b4a68dcff736ab', '29587630a4ac017c', '82657a45e8659c6f', '90c259be0125cf62', '8ec332f20bf0f742', '64a41909bf7dd95b', '762ad6d312cd07b9', '9f7c4b5ca8ee797b', '64640ee4ac837e94', '33224b922b42e517', 'db3058d1829eae91', 'e88d6bc783b9c74a', '6fabfcc7883ea4bc', 'd56c2c0989d530c1', '93ae4ef75b0947e2', '7406eb6fa4418366']; context = [[7, 53], [1, 36], [38, 70], [14, 57], [32, 67], [105, 146], [2, 35], [54, 93], [43, 76], [114, 145], [16, 51], [7, 43], [23, 61], [3, 41], [71, 107], [6, 41]]; loss = 0.014710 low_pass_filter = 0.300
+Epoch 0: | | 7619/? [1:20:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 7620; scene = ['a48bd89d4c750b98', '5190e7583e7c034a', '4581b41b8a316a2d', '99e4757b3ec84a1d', '9ce18e551df6c324', 'f22018a91c0e4afe', '4b9edc4850de7838', 'af1459f48e74c6db', '3169a93d40545f53', 'f45c0dfe6693c28f', '389b5b722545a8db', 'd0c197a8436159be', 'f6751290bd44926a', '6f29c6e5920ebf58', '868020c5dede77d0', '0345af360bac9020']; context = [[61, 99], [40, 80], [109, 145], [21, 60], [87, 128], [125, 159], [2, 33], [28, 62], [61, 94], [40, 77], [122, 154], [57, 93], [105, 151], [6, 42], [6, 48], [43, 86]]; loss = 0.012860 low_pass_filter = 0.300
+Epoch 0: | | 7629/? [1:20:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 7630; scene = ['06167d62e6dae9b1', '513ab1107e3d6b47', '4ab2f39dd49c4504', '56c4bb0072ff2d07', 'a2b22d6c09056b7f', '3475faef8773695c', '78ee4fc730f480f7', 'a45555d2f55ced45', '9b2df5fd2d1202fb', '6b9db893e23474dd', '29283bedb1017665', 'e3ccb4844e5a7606', '82b8fde17b54a3f5', 'a1af7a5b9d69b1ae', '713b4264c0e50db6', '85b47098a2719390']; context = [[10, 45], [11, 44], [16, 58], [60, 97], [24, 62], [49, 89], [7, 39], [220, 260], [37, 71], [32, 63], [27, 71], [10, 55], [10, 51], [0, 46], [76, 113], [2, 47]]; loss = 0.017348 low_pass_filter = 0.300
+Epoch 0: | | 7639/? [1:20:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 7640; scene = ['07fd6a44d21b457b', '20587e73867cf38e', '4ba206eba37d151b', 'efbe08239d06ac95', '4b3e4f4d3056fab4', '180f469800995142', '22ead2a50126734e', '3790223086ba2e9b', 'fbcd0d115aa758c7', '7dfe8526e36c01d9', '057633edbcbb3245', '83ae3529552dc451', '159a2b87dbe2aa56', 'aeb604fea3eecb98', 'e9a0a9f254d59361', '382aaf1269c534df']; context = [[86, 123], [114, 150], [22, 59], [19, 54], [91, 129], [34, 77], [8, 48], [173, 204], [37, 70], [137, 169], [0, 41], [56, 99], [102, 137], [19, 62], [16, 53], [25, 69]]; loss = 0.014868 low_pass_filter = 0.300
+Epoch 0: | | 7649/? [1:20:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 7650; scene = ['52c8bb2604e9cd40', 'c5f4adc54e9698e4', '2a7284b013df5506', '5fd63ae2dff32d1f', '4a01767309372d2b', '8bd5f958ccd6eaae', '6c0c5d76c7684129', 'f3d9e5d28e3ca187', 'ab41878f4d98b685', 'e6bdfb9e4def7696', 'cc18aeb3246a90ba', '57ff7d61dab3539d', '674e6f9d101f4061', '2da662f07b514cea', 'b36caadc03478bf2', 'c1dadb22d94a9513']; context = [[32, 72], [16, 56], [11, 56], [71, 118], [117, 156], [26, 65], [80, 112], [0, 31], [18, 63], [41, 79], [16, 50], [13, 56], [155, 192], [26, 58], [3, 37], [0, 34]]; loss = 0.016217 low_pass_filter = 0.300
+Epoch 0: | | 7659/? [1:20:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 7660; scene = ['ff5a148b852949ec', 'dc340f8aa416f839', 'cf6a4349d0ffdfcf', '08011a68f39ca0f4', '490710a2cacc8268', '3485e4776717068a', '94f20b7d0165bdbc', 'b915146b10f26355', '579a16674dbb8aad', '06beb74df9f499ab', 'fee08c59f9bf59f8', '263c8f62a1f40965', 'eee32cea105d459b', '08720bf6d19825c6', '19f950b6900d6176', 'ec1090f15ec68a1e']; context = [[33, 72], [87, 120], [121, 161], [18, 63], [239, 277], [10, 53], [22, 59], [78, 116], [77, 120], [189, 233], [13, 48], [44, 79], [11, 53], [3, 37], [35, 68], [29, 74]]; loss = 0.014473 low_pass_filter = 0.300
+Epoch 0: | | 7669/? [1:20:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 7670; scene = ['d0b9662318cdab3d', '499d86e3dec59f3b', 'da36c8d245c38f27', '9c17a9729a7e9bb8', '3ba35e378f244891', '0c293d0a8ef0d3aa', 'c571971b1b0aa422', '0b8f2051807ee7dc', '163f24b2f0443e8e', 'd1984e967dd06eb0', '9c4aac0b6fcee545', '66b4341cc26b7407', 'b8d2dd9546bbaeab', '5ed5fc85e9489de8', '694c826a04dd0790', 'cc40622bab93b114']; context = [[99, 137], [81, 123], [110, 149], [18, 62], [4, 44], [14, 57], [73, 120], [102, 145], [23, 64], [104, 136], [17, 55], [19, 65], [30, 72], [1, 43], [77, 111], [6, 48]]; loss = 0.014424 low_pass_filter = 0.300
+Epoch 0: | | 7679/? [1:20:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 7680; scene = ['04ca0ba3f07853ff', '13dca51f82b69bc8', '5956792e29d4fb15', '509a7f772b62dbbd', '594699f10a03e335', 'ce0a99ce7be19bc2', 'abeb580aecd06433', 'a79512c29cdcc8d8', '89f9d9c77b1db0a5', '90f753de7db1aedc', '2c97c067544af4e8', 'affaaa5bb0d68796', '2023fadef11c9efe', '8b270446ed2d50fa', 'de82638349240cde', 'a0f63c5a3c3e0da1']; context = [[1, 33], [26, 69], [13, 48], [124, 171], [30, 63], [49, 94], [83, 120], [23, 68], [4, 43], [145, 185], [0, 43], [4, 38], [3, 48], [108, 154], [40, 74], [38, 83]]; loss = 0.015554 low_pass_filter = 0.300
+Epoch 0: | | 7689/? [1:20:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 7690; scene = ['a6b13439ebc01a18', 'f34d01034d0da28e', '28b25e13e6b1d225', 'f7c4a07dfe6a73cb', '50154337e5d8023d', 'da9ae49de2b135db', '7334eebac23793e3', '2f542b76f2ff85c6', 'c7e7a99d5cf8cf37', '74f1f2c830b4ccaa', 'f64e0d716d146454', 'adb7e63ede6fe47e', '1d65caaca69e5e76', 'd44849401776c1e6', 'db2e57b7e99316f8', '710edfdf32d1e025']; context = [[0, 34], [121, 156], [9, 54], [42, 85], [46, 88], [40, 73], [146, 190], [17, 64], [37, 76], [28, 62], [29, 73], [6, 43], [10, 56], [21, 66], [13, 57], [38, 75]]; loss = 0.012940 low_pass_filter = 0.300
+Epoch 0: | | 7699/? [1:20:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 7700; scene = ['5a0df8c07e9a9fe9', 'af4058a9e533f84f', '433dca64f1849830', 'c0c758b51b097148', '86881d5b0782d118', '0378b4978168d643', '5c631011734e2067', 'b62e21b875ee5c9a', '3ed72542d217a98e', 'a9dac033ee8e97c9', 'b9cea03dac60ed8b', 'fe46571be21af2cb', '8d842be57d4be356', 'af09f44bba9e84f7', 'e0698b31d9918c54', 'b3b45ff1b4002fc7']; context = [[106, 151], [50, 92], [114, 160], [10, 56], [9, 46], [0, 41], [13, 55], [9, 44], [41, 78], [34, 77], [11, 47], [169, 201], [2, 43], [55, 96], [53, 86], [62, 102]]; loss = 0.013237 low_pass_filter = 0.300
+Epoch 0: | | 7709/? [1:21:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 7710; scene = ['f7d91f705d469f6d', 'cb400c50ad429f45', '878bc34ce9a5c2b0', 'c54bfe167a0e4773', 'e0091fd81f0ce93a', '241a367e7f124257', '335a90126c68ec87', '79bde1fcb9c993da', '6a1c56504c0bb47f', '7df8b2db66f22383', '6dd17de596dae3be', '6f9de440653bb88a', '29813418d3210005', 'b46de0d3730fbdbd', 'f01f0f602cf82f5b', '24aa7d35a296bf5b']; context = [[25, 60], [139, 170], [19, 61], [53, 88], [4, 48], [31, 78], [52, 83], [21, 68], [207, 241], [31, 72], [115, 153], [51, 92], [4, 40], [18, 64], [47, 89], [73, 108]]; loss = 0.012265 low_pass_filter = 0.300
+Epoch 0: | | 7719/? [1:21:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 7720; scene = ['f2d014eff23eb9de', '1a8ecd4c1b802e5e', '1fd8f49dc1856d19', '9cc7f300dbd2b155', 'dc4f4eeb518621ba', '4ff700fcc3295022', '542a17e17282b837', 'f5555cb7c50f4cc8', 'eb5bb02bc048311b', 'de479f6a023d7c54', '91fb18afb0b2b05a', '916569d56a2cd4d5', 'bdf8f6b850d6dd02', '952d3623a4b9befb', '7b268ad21c2b9512', 'ef7aff8b7ac0037b']; context = [[96, 130], [2, 43], [17, 52], [180, 217], [56, 90], [62, 104], [135, 180], [18, 50], [35, 73], [54, 96], [7, 52], [24, 58], [2, 38], [30, 74], [10, 45], [7, 42]]; loss = 0.014367 low_pass_filter = 0.300
+Epoch 0: | | 7729/? [1:21:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 7730; scene = ['975b84c30ed18547', 'd00df5ef865937ac', '18f5aa065cd4b02a', '683391876d0f8c91', 'd54fb2208e66c080', 'd81004f6cef35e48', 'f9383eed67e0b27a', 'bf82a9c4cb1af02c', '63281eb1df46be25', '3a09916ab94d104a', '5449ea0f398b1296', 'fd1737c9d5f1cb37', '006b2728057d8236', 'c18cdd4c8632dd68', 'fb1651b38865c843', '9b0cdc0ec7d017ed']; context = [[114, 151], [218, 260], [80, 125], [84, 122], [1, 38], [134, 179], [0, 31], [53, 91], [102, 148], [9, 44], [44, 80], [3, 49], [27, 60], [3, 43], [219, 258], [54, 85]]; loss = 0.014787 low_pass_filter = 0.300
+Epoch 0: | | 7739/? [1:21:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 7740; scene = ['7c95ece5379f4f34', '66c5f610bc4a8909', '5f1214ba3a5c3ddb', '571533d1bcdf7570', '2bedb36d46b659f0', 'c97f57e4354ba28f', '7fa2d5cb57f1561f', 'f897471b84a227ac', '9ffafe5ae44cb7e6', 'e43d2a7cd372f938', '50badc3728c1f162', '95da644c820de284', '44cfe7306f4e2092', '384a13e1cf19daaf', 'a66645498ef9d1cb', 'b818d1ecf495afe1']; context = [[19, 62], [20, 59], [0, 31], [136, 173], [34, 65], [29, 63], [9, 54], [19, 63], [8, 48], [34, 77], [51, 91], [1, 33], [70, 112], [95, 130], [31, 63], [1, 36]]; loss = 0.014410 low_pass_filter = 0.300
+Epoch 0: | | 7749/? [1:21:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 7750; scene = ['9523e0e2d322570f', 'c480e6dc234243a7', '4413283f8f97206a', '294543e5051d23b7', '7822e98d0f6f0d03', '9f2706cf87e01b5c', 'ea9b827d14fea943', 'f26a68de5e50e0f2', '89865fbae2d079ef', '35da309cfe0271e5', '6b018f51e78af306', '7cde89954899d263', '400775a9888882c9', '6e34b09401a80bf5', '1de58e1bb921e0c1', 'b34dcbb038fc410d']; context = [[55, 89], [1, 48], [0, 37], [175, 220], [69, 110], [5, 44], [28, 63], [14, 55], [24, 68], [59, 100], [6, 45], [1, 34], [131, 177], [10, 43], [7, 46], [175, 211]]; loss = 0.014403 low_pass_filter = 0.300
+Epoch 0: | | 7759/? [1:21:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 7760; scene = ['ab03c2979623d6cb', '605c98b35d15551d', 'bea5493d136e28a3', 'a5d054dc249a0291', '41d454a6a4ccc3c6', '35e2e0c67e738b87', '2566f5987054867e', '098bc6fb411f7981', '1f7dcb3f225e0666', '079f307b3dfeecc0', 'dca7a60c2c74fef8', 'daff46a11293573f', 'ad11aa745dc46abd', '028a8615ae331a19', '3d24f9048d25a661', 'd66973b1bc0c0484']; context = [[87, 130], [164, 209], [0, 40], [18, 59], [101, 143], [113, 159], [84, 128], [144, 188], [218, 251], [24, 66], [101, 145], [10, 43], [37, 71], [7, 41], [169, 205], [81, 116]]; loss = 0.014759 low_pass_filter = 0.300
+Epoch 0: | | 7769/? [1:21:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 7770; scene = ['7b9eb87b3c33b779', 'e5b31afaee88be2c', 'dc0a4c6bbe93b0d7', 'b01cc99c3f15ace5', '890d0ceb50454ee0', 'f8cd9a80f4d3f8c3', 'aad1aaea075eb717', '9c5db6994c974162', '46668f1f54ad6102', 'bc877ec05ab68609', '146eb92a5a651333', 'c59110b12726b62f', 'e4aed2d05890fccc', 'f094dfed58e91480', '61aa53cc53799ae9', '0be1eb8ed3b0fdd7']; context = [[99, 140], [0, 34], [86, 131], [41, 86], [4, 48], [120, 158], [9, 49], [115, 146], [28, 70], [13, 50], [12, 55], [194, 227], [12, 55], [15, 51], [52, 94], [12, 55]]; loss = 0.014668 low_pass_filter = 0.300
+Epoch 0: | | 7779/? [1:21:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 7780; scene = ['4bda601d846a36ae', '8a405f69466ad025', '5f25ec2442e46bad', 'e33eccad78073ab2', 'c72ac889a80127fb', '9fcc33efe22e628d', '5eb8ab1a5606bfaa', '346eeacde06e985d', '503fc5f0776ca765', '1f76a27914c5ceb5', '8edd698ce5488c71', 'ab3f4c94206c75f3', '9c2edc6892073f83', '4200ec0bb3b50364', '70516082a453975d', '6cb287ff59076f0e']; context = [[41, 79], [94, 128], [85, 122], [18, 60], [4, 37], [199, 236], [15, 61], [218, 258], [8, 51], [15, 58], [78, 119], [82, 127], [34, 78], [21, 54], [1, 46], [65, 100]]; loss = 0.013955 low_pass_filter = 0.300
+Epoch 0: | | 7789/? [1:21:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 7790; scene = ['c97c645100a31661', 'a5aaad695508d68f', '9c9d619fc87c0650', 'fa178b37d96ac2ec', '5d730c8fcf428b87', '4290cc1781a821e0', 'abb1a998e64aeea1', 'f443c47d3469d49f', '0051ae563152ac76', '6b6ebdfc9a744a37', '2a71c43c29f3060d', '597649fd1b135ebd', '38de695bf52f781b', '8639b76991693c19', '82caadee13099282', '7e493970d3c0f5d7']; context = [[52, 86], [3, 43], [0, 36], [9, 43], [0, 35], [0, 34], [52, 90], [25, 69], [3, 43], [0, 35], [97, 130], [98, 133], [55, 89], [39, 74], [19, 54], [0, 45]]; loss = 0.013917 low_pass_filter = 0.300
+Epoch 0: | | 7799/? [1:21:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.00train step 7800; scene = ['c21489d891e26fa4', '1a1f0a618bad5d30', 'e66de334ca40ef34', 'cec551a67db7dd73', 'a0d2565be6cd20d9', 'e4c297f2325d6f1b', '1f657c2f29294730', '7cc99f81c5ff3463', '4bc6b34a301aac73', '050a56996ce60a4e', 'eec6fcc946324724', '4efc39a0f5d736e0', 'b8cd657895e79c29', '009664cb1b8d351a', '5f880115b8878ddb', '682b64bdd1140f82']; context = [[43, 86], [13, 46], [226, 259], [65, 99], [89, 132], [31, 62], [2, 36], [26, 68], [21, 60], [66, 109], [2, 46], [57, 89], [93, 136], [2, 44], [35, 75], [39, 77]]; loss = 0.014236 low_pass_filter = 0.300
+Epoch 0: | | 7809/? [1:22:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 7810; scene = ['a621cb2aed8cff41', '6f1af1d2abf80ac8', '83cbcd45edcf38b6', '1588e9d57273e849', 'b492fc78d75a1a77', '3a242840aceadbdc', 'f40957078a47acd8', '9dabaa652760b5b8', 'c53f0f20f949bc7a', 'cc00dcf8d83b6fbe', 'a39764d3adf928db', '979ba8e35df76320', '842ac8a77d8e55d4', '78ae26792baa3de5', 'a15729f69bf6486b', 'b994db43ed1c2c70']; context = [[125, 168], [23, 63], [28, 72], [23, 69], [33, 72], [119, 166], [3, 46], [12, 56], [57, 93], [134, 168], [13, 57], [11, 45], [23, 58], [67, 102], [37, 82], [203, 242]]; loss = 0.013789 low_pass_filter = 0.300
+Epoch 0: | | 7819/? [1:22:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 7820; scene = ['ca29faace5b43f9a', '807a8ed2278aceea', 'e9cfe450f0115ed2', '91f5b5db4a1cf28d', '3b0f1085de3b498b', 'fd19e81423738735', '9e8db62a9b3cbd5e', '3155b05b96e2111e', 'cbcf05baba7c9624', '755ac8f9f91414a5', 'bba891ea827e88a2', '86d6705131e38b99', 'e26f0a1b140b74ca', '5f1c50e26de61455', 'bc784a299b459e92', 'c580d7b52ffa2fb7']; context = [[26, 63], [147, 194], [52, 90], [45, 80], [48, 94], [0, 44], [2, 37], [85, 130], [101, 144], [35, 68], [74, 110], [24, 59], [56, 90], [51, 88], [20, 66], [17, 52]]; loss = 0.014009 low_pass_filter = 0.300
+Epoch 0: | | 7829/? [1:22:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 7830; scene = ['dec79f9feb754ed8', '3054148d742d2b85', '91243c39eff2dab2', '66bef075252e50c5', '400c9321b83de62a', '42209a96fb2db3c1', '1817737ac6b18f45', '10f25476c98b437c', '41a5f2ec0c95a471', '6c01bd2b6378b08a', 'ec3000b33e02444a', '086be0c3a57db507', '1035b4b674d055e5', 'f42a1015b25ea6c0', '0820a0be3b326687', '9650042fbf74face']; context = [[0, 35], [38, 78], [2, 39], [15, 52], [3, 34], [82, 126], [11, 49], [196, 235], [16, 47], [67, 108], [51, 83], [88, 126], [135, 182], [9, 52], [140, 187], [44, 82]]; loss = 0.013554 low_pass_filter = 0.300
+Epoch 0: | | 7839/? [1:22:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 7840; scene = ['164c9b475bde366b', '37ec45c355dafd52', '378f4d0005f28e4c', '56fe7c0a0a936008', 'f5dc5e834659a59a', '9b5c5062fd2487c7', 'daf865e83a369404', '50468b60ba969ac2', '96dcb0a7845a1ab6', '98e402ee105f6914', '6dfaec91f745fdd9', 'ec3e15d5fdd55626', '4d6710d444e96c0c', 'da9f2aca4d24cab5', '8584c04ddd146c01', 'c0be824295e236f4']; context = [[62, 100], [31, 78], [48, 84], [63, 107], [148, 191], [57, 102], [79, 113], [0, 31], [29, 70], [60, 105], [2, 43], [209, 252], [0, 34], [4, 38], [34, 80], [10, 55]]; loss = 0.015914 low_pass_filter = 0.300
+Epoch 0: | | 7849/? [1:22:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 7850; scene = ['be414fc8a382334d', '8af368949983a521', '7b9b7003ec4e78a5', '17de26112944192a', '4a8e73df362a6543', 'f3c2e046bf98da68', '2ac828b2d772802b', '615dcaa6165fa8a3', '9efb8f065193970d', '3192eb6bc15f9d05', 'a8232ef9905e87da', 'c453f1d05fccc5bc', '1bbfa252c16648cd', '16e38b37ffc36e77', '4df6563a6aa62cf6', '2c10672dcad0fc1d']; context = [[30, 73], [34, 70], [87, 134], [18, 52], [1, 36], [39, 71], [6, 45], [77, 122], [47, 94], [25, 61], [60, 104], [238, 276], [49, 86], [128, 160], [44, 82], [88, 121]]; loss = 0.017004 low_pass_filter = 0.300
+Epoch 0: | | 7859/? [1:22:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 7860; scene = ['91e8bd693b1e76f5', 'a8afd0ccef504316', 'f5a3eca31fcdabf8', '674f97fbd51d9549', '504b67ca30edd1db', 'b6509b872612bbbe', 'e528d17adef1f1bc', '223e2c052f914311', '4c9b371e4c24c2f3', '478531030bb5fe18', 'ebb2ee0fdf9adb4f', '89f434159557854d', 'ae63b7ded897a531', '509ba1d49682702b', '4b15db7b359a0492', 'a6ec4571131be6da']; context = [[7, 44], [197, 237], [30, 70], [52, 87], [85, 128], [79, 112], [163, 201], [17, 57], [21, 58], [62, 94], [3, 34], [38, 76], [33, 67], [17, 60], [1, 41], [46, 82]]; loss = 0.012801 low_pass_filter = 0.300
+Epoch 0: | | 7869/? [1:22:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 7870; scene = ['3c5b457b136248b5', '55edd64c34b3a7c2', 'e70a3febb8cb8a76', '41131a5ad9d7e193', '0b49fa20729a67b7', '9d0d0150c1251962', 'fbd6b180ef2b245a', 'e22200a6fad88a95', '172c58dc9b544f41', '9881008685627785', '9dcb99ccf64f707d', '4bef29cc7955bb9a', '4a9619f6264f92ab', '1134a76f064459d4', '44e1b5d813809be0', '34857ba0aee5fcc4']; context = [[71, 116], [19, 65], [98, 142], [50, 90], [0, 41], [4, 49], [55, 93], [25, 70], [148, 187], [165, 212], [145, 191], [5, 38], [240, 272], [108, 152], [15, 55], [112, 145]]; loss = 0.014128 low_pass_filter = 0.300
+Epoch 0: | | 7879/? [1:22:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 7880; scene = ['917f08ba5fb037ed', '5d93d564fad2b90e', 'fb8df0e68de8fc49', '91960e132b0024c7', 'c9a2960bb9d2faa8', 'df7ea73ded624102', 'c90c08854bbb3f90', '185842dcb2c2b5fc', '88a25ebeed8c96c2', '7c904fa96b0b4adc', '8349877810e2a83f', '1f551e4fa24be8c9', 'cba922543e0ce396', 'a29357c75f94d54f', '337ebd10901f628f', 'c6a52e7103129e02']; context = [[14, 53], [9, 52], [61, 95], [20, 59], [220, 255], [41, 81], [16, 61], [37, 75], [4, 36], [171, 209], [48, 85], [20, 56], [0, 40], [71, 105], [42, 85], [37, 70]]; loss = 0.011427 low_pass_filter = 0.300
+Epoch 0: | | 7889/? [1:22:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 7890; scene = ['74261e1b12d3c50e', 'ce195f617c526939', 'b3d84dba6581c3d9', 'b635106f603d9273', 'ae3f17194b40ca80', '45b4c059628b6f38', 'bf9a4b1f7627c273', '41868518745c4b75', '4b6452c634b79f57', '22d8382cf0164976', 'fc15fd0a7d1bd1b2', '32449d5801444b95', '0c30cc66e004912a', '082ba86063ee7e6f', 'fb56af60d6f44825', 'dcfbbd4796e0d887']; context = [[123, 169], [16, 57], [12, 52], [24, 64], [5, 52], [79, 115], [48, 81], [94, 134], [18, 53], [95, 139], [23, 62], [3, 39], [0, 39], [32, 69], [69, 111], [19, 57]]; loss = 0.015313 low_pass_filter = 0.300
+Epoch 0: | | 7899/? [1:23:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 7900; scene = ['5a62e1bb60e358b3', 'e6c884e29d3fd3b0', 'fab8935910e8b3f7', '09e4013597980b6d', '976c8a707ce214d1', '56fa6943fe8aca9b', 'f841958b4f3ea9b6', '0c55d99325327032', '0fa3084a8ad67f81', 'b5a711e9d6e9f7d2', '1766b288f284c234', '81239a4d26b89db3', '9f73da7d6f136df9', '1be5dffa99a9743a', 'cf1c8a8fb8347d9f', 'aea0b4037df73166']; context = [[10, 53], [206, 239], [39, 74], [72, 108], [5, 48], [7, 53], [119, 166], [13, 54], [79, 119], [14, 49], [52, 91], [41, 80], [11, 55], [26, 72], [202, 240], [8, 48]]; loss = 0.015197 low_pass_filter = 0.300
+Epoch 0: | | 7909/? [1:23:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 7910; scene = ['44c921ca58ff288f', '3c80b69ca39d44e4', '70a0186b1ff0c13d', '4eb73e73ca77fb11', 'eff98653337775a8', '282c3c958edab940', '8c2000c91596ea0d', '5eca48d9febf5e70', 'a51764791263987b', 'a2ae856e2faf3097', '6dd5bd6445ada623', 'a3214062cd1950df', '2cec44c7d50cb057', '0339818f120ea7ab', '5be8385a860cd167', 'bf4e0656a420aa9d']; context = [[18, 56], [44, 86], [70, 107], [22, 63], [17, 60], [3, 40], [32, 69], [0, 40], [5, 39], [3, 37], [127, 167], [120, 159], [3, 40], [8, 41], [36, 76], [2, 44]]; loss = 0.013131 low_pass_filter = 0.300
+Epoch 0: | | 7919/? [1:23:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 7920; scene = ['2b0182cffdc9433b', '8d75d6f051b8f52e', '91bab928c4639b09', '9c70b01b66e2fabc', '73d493ff94578c55', 'ffaaeea472f10ee2', '9695907dbf989efe', '8ae07a41da8a7327', '2d9c1a7e8547c7f3', 'fe9c9efa162243af', '1030575ce50471e5', 'fa4ed1deda5e2f36', '9228d5f56cc394bb', '517e1bd673ffe78f', 'd69346456b8fecf9', 'f5596ed3eb0151b0']; context = [[28, 69], [57, 90], [124, 169], [98, 130], [8, 51], [29, 64], [101, 133], [3, 35], [46, 79], [70, 112], [56, 102], [1, 43], [158, 191], [151, 184], [217, 258], [61, 107]]; loss = 0.014236 low_pass_filter = 0.300
+Epoch 0: | | 7929/? [1:23:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.00train step 7930; scene = ['f6ef16edbf87f358', 'a39e4a70e09d8240', '5b42c714b345da65', '6c1206705158a4bd', 'c494a2a9c1f9d2af', '978e3cf480d4f9a3', '8535bf9e54aec7cc', '21951a6ae1c4b225', '7ac2220e1acd3816', '0fd37e03ce9c62d3', 'ee9c93086f82a626', '9e4ed17f5acf397f', 'e0e6e55758821324', '2bc64907eede5603', 'f7b87bf486eb77f8', '4d758121dabd85b6']; context = [[11, 55], [93, 135], [148, 191], [7, 46], [15, 54], [54, 98], [54, 90], [76, 123], [25, 71], [18, 61], [10, 56], [47, 79], [149, 181], [59, 91], [16, 55], [17, 63]]; loss = 0.014797 low_pass_filter = 0.300
+Epoch 0: | | 7939/? [1:23:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 7940; scene = ['e398b6b9b1e85cfa', 'af341801d7396214', '7c8c847eb8e72183', 'cab8dd14f2f78abf', 'e384be9c2c62cf97', 'a29879173eef0f0b', '935620b6d95b7e07', 'b117f9d8522f755b', 'a73f4bf6ce8b2a00', 'cc20d092a599c493', 'ba9f9631666e3327', '7d0a9823c1fd44df', '35409afab97a204e', 'e3ff60d9f1245d0f', 'be219e44c1e8b1b3', 'ed517061a8b090a3']; context = [[28, 75], [42, 87], [26, 72], [17, 56], [8, 53], [86, 123], [49, 84], [66, 108], [65, 99], [83, 119], [0, 41], [0, 33], [14, 52], [19, 56], [0, 32], [42, 82]]; loss = 0.014135 low_pass_filter = 0.300
+Epoch 0: | | 7949/? [1:23:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.00train step 7950; scene = ['db8479f59abcc803', 'e142bdbc31cae90a', '3c55515a280e20da', '05e64ffbe1be863b', '1f7840b62cbe2522', '3e4ee1fb4655da82', 'f8acae9d5aa8c560', '49ec44f255323b8b', '9a44a177182dc2ca', '33e221e99837ef27', '1a4bbc969b7616f4', '14a1d83250bf6a20', 'ba9887bc9330e87b', '75cbbfa22033dbb8', 'b6533ec6db201f28', '3912f6aa47883716']; context = [[27, 67], [177, 218], [9, 44], [9, 50], [10, 45], [68, 107], [213, 245], [133, 175], [53, 94], [14, 47], [24, 56], [43, 87], [10, 48], [132, 164], [4, 44], [33, 65]]; loss = 0.014904 low_pass_filter = 0.300
+Epoch 0: | | 7959/? [1:23:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 7960; scene = ['7c3cb1f442befb1b', '75ba1cf5e8ed04f0', '276ef99fe1e6cd12', '8b89b00938bca1d3', 'b9088d10a87467ed', '815c5d2c059f38c6', '26c433edd7f8c92d', 'e3d545fddc61ad3f', 'c22a3f3186fcc45c', '92392d6c80ff0b65', '8445dca6555ca471', 'fa0d3eb64efeae96', '181220855c758801', '6b03f3ad9c835c21', 'a144d1791f033ad1', 'e26067b30e26eaa5']; context = [[27, 74], [56, 103], [8, 46], [0, 40], [128, 167], [31, 66], [62, 95], [209, 241], [55, 102], [29, 62], [63, 99], [45, 89], [66, 106], [48, 88], [10, 57], [39, 71]]; loss = 0.012618 low_pass_filter = 0.300
+Epoch 0: | | 7969/? [1:23:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 7970; scene = ['18a621d8ed17e827', '269ba83961dd94e7', '1fd1546cd5dae95a', 'd59b9576705aaf29', 'bed6b2d982f71178', '7041d1f51181ad14', 'f424fb77759f625f', '41b70a73e90094bb', '1de0bd69f911ee70', '39ef35a4a47926da', '556ce3a3902f4695', '3613fe0e8890ef26', 'ec8b485c95a10ee8', 'b1d41b0a47dc80f1', '14456e50bb058688', '82b3cd7d732bb3a1']; context = [[13, 60], [14, 53], [29, 75], [28, 68], [16, 49], [16, 52], [124, 160], [2, 35], [54, 86], [72, 107], [4, 45], [60, 94], [77, 122], [64, 108], [2, 48], [234, 278]]; loss = 0.014465 low_pass_filter = 0.300
+Epoch 0: | | 7979/? [1:23:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 7980; scene = ['a355cbb3c5ec14d3', '3eee617965b7f050', 'db7c001b56cc58f9', '4834d0f3d7b08173', '938551a1aea8e910', '15e805f2aef1fb98', '7cc44300198ebab6', 'd09587e797df6d1a', 'e38ffe279d74bdab', '292f50a447686c5f', 'b49792086bdd15ee', '7ecf90d498b68283', '323caf2e6b7dce62', '9499513a24a1e5ef', 'f29d8ab49b08ce8d', 'd7ca47da5fac7140']; context = [[10, 49], [154, 188], [121, 159], [75, 112], [0, 38], [13, 53], [18, 61], [6, 48], [0, 42], [7, 54], [7, 40], [18, 50], [165, 207], [150, 182], [46, 82], [118, 162]]; loss = 0.016026 low_pass_filter = 0.300
+Epoch 0: | | 7989/? [1:23:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 7990; scene = ['90e7d3a64eaa12dd', '829a13cbe007fab4', '4b62ab28b8c9bd18', '49db70fd29cd9eff', '3bcbf64a56113736', 'cbcd1280b8cf3549', '8a730e0d13123c34', '48a50d0f74caf769', '4ed9431ead540c2e', '98cd025e8c5947c0', 'c2a55fadbc223eca', '7a351f1909e3dd20', 'd61463c6e6ab564d', 'c70d3152f917cb10', '46593f269a725e81', 'f5a94bb660770811']; context = [[4, 37], [13, 57], [42, 82], [24, 68], [35, 67], [142, 187], [33, 75], [9, 43], [13, 58], [23, 63], [17, 58], [108, 141], [141, 174], [40, 83], [19, 57], [13, 49]]; loss = 0.012014 low_pass_filter = 0.300
+Epoch 0: | | 7999/? [1:24:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 8000; scene = ['bce06efba2b1d37c', '11e2d9eec65ec014', '0666c63c6c8d6a9b', 'f807936e20d8a3dc', '49f52e9a0e83383a', '35b4f262621408f8', '15c7be1c31e5dcf5', '4c3228043c66d20e', '6f1508676b76c4f7', 'e2633bd88045350a', '1f0308acd5b5aed7', '43e43dbf5e8fbc93', 'd6375022ecb50300', '96703e6dcefcf683', 'c80549ab13e7092a', '633f44cac01d8a26']; context = [[54, 102], [34, 76], [128, 169], [54, 96], [77, 113], [91, 128], [20, 66], [80, 124], [33, 72], [78, 116], [15, 48], [26, 69], [98, 136], [2, 34], [3, 45], [6, 41]]; loss = 0.016725 low_pass_filter = 0.300
+Epoch 0: | | 8000/? [1:24:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00validation step 8000; scene = ['2f197e2a5d5d2985']; context = [[2, 36]]
+Epoch 0: | | 8009/? [1:24:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 8010; scene = ['fdd9290d4b4b17b7', 'c2070584d8687150', '5a06c5d103cab700', '15e6c1b0d22b4805', '8225c5abe7275d40', 'e69545e8027887b4', '028310f8d3315419', '18ef0da104c3105c', '46235f0a4c2274e5', '263d5b83602bc9d3', 'a4b60340518670c6', '4e8b585cd698ceeb', '051235d44d3c32ef', 'd4cd44c2a51efbcd', '9ae203dae9fbba58', '3c29339ac7b67c41']; context = [[1, 33], [7, 42], [111, 147], [83, 118], [33, 76], [12, 47], [28, 73], [80, 117], [38, 83], [12, 59], [28, 75], [56, 98], [84, 127], [7, 48], [0, 41], [48, 81]]; loss = 0.015398 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 8019/? [1:24:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 8020; scene = ['9ad3892501064847', 'be6403b9d3c63c88', '223679033769414b', '23668135f32e0126', '2da26f0219156948', '74df5a4e6faaa8f3', 'b29d69f0e6f21178', 'b6c3666142848b41', 'a768697c4930ef01', '507b5a777e8b7517', 'b22f7ba852796bbf', 'e41eff9093ca7ba2', 'e05844d42038bed4', '44a70efa7340c337', 'cfc74e7e4416207c', 'f9ee709c7030fa87']; context = [[6, 43], [17, 61], [31, 70], [35, 77], [84, 116], [32, 72], [78, 124], [41, 79], [241, 274], [74, 106], [84, 127], [62, 96], [2, 43], [93, 127], [34, 73], [37, 69]]; loss = 0.013183 low_pass_filter = 0.300
+Epoch 0: | | 8029/? [1:24:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.00train step 8030; scene = ['40aa0220cc39a914', 'a37504e5a333ec20', '01013ae23fd56cf6', '7fe98c1f01f1ef82', 'becfa3668f1ee64e', 'adc4da860adb345b', 'c7dec949f5729c8c', 'f26e9cdace9af960', '79f1ced3ae31f942', '3b7c1da7ab8f7c7f', '3f575f7539ab6976', 'a316d04e82d98769', '709ee41f983bf839', '232ce13b902c1c4e', '8d432ebfdfe3565d', 'c520ca5bde6aa3ca']; context = [[10, 48], [31, 71], [143, 182], [14, 52], [79, 120], [40, 75], [114, 147], [13, 45], [46, 92], [61, 94], [4, 39], [36, 80], [3, 47], [186, 225], [51, 83], [55, 98]]; loss = 0.014714 low_pass_filter = 0.300
+Epoch 0: | | 8039/? [1:24:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 8040; scene = ['4e95c589e42fee51', '4e90e8e0a2ab62d2', 'ad2f42792ff4e12b', '05f8fbd811f71150', 'c0d73e302fdb7a4e', 'ff95183bfec358b0', '6fa131a2fa829df1', 'bf70ac416939f544', '4627387578523c1d', '9304b1e911c2829e', '0e875b5d0e45bd73', 'c1aad512bc9d3879', 'a0030d74c6d8a763', '33c9e5240e592f99', '8d5166588c8bc829', '4896c75fdd4bd133']; context = [[141, 186], [31, 66], [2, 34], [16, 60], [5, 43], [61, 98], [8, 56], [28, 66], [11, 47], [10, 56], [53, 94], [4, 50], [22, 59], [30, 69], [9, 57], [33, 79]]; loss = 0.013584 low_pass_filter = 0.300
+Epoch 0: | | 8049/? [1:24:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 8050; scene = ['3efcf64764442ba9', 'c79eade117f25328', '9ec8836d9eba792e', '015be5260cee24a6', '3a5a38a182b82f99', 'b62d5f970d1517b6', '17d3a16e71d99061', '70b2f221ecf229c0', 'f94029860c968603', '4530113d1d7f71db', '679df10aebc2c454', '11866a7205664134', '43efc8210bf1153e', '75c097dde984d57f', '7fc78bf5706dbaf7', '3b471fe1f614fbfd']; context = [[214, 256], [3, 51], [220, 260], [14, 59], [15, 60], [8, 40], [58, 99], [1, 43], [18, 54], [3, 45], [14, 59], [12, 60], [40, 83], [149, 186], [0, 43], [40, 78]]; loss = 0.013294 low_pass_filter = 0.300
+Epoch 0: | | 8059/? [1:24:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 8060; scene = ['f1f8e4d39a32eedb', '97bce696f1984959', '4780bc2c45a43a89', 'dac0904884bc1e6e', 'c54533d824d476be', 'c5536f755d325407', '177fe99843448ee3', '4c27eae347247d25', 'a6d963c1f7142aa5', 'c2194ca7981206d5', 'a5bf321c5af894f2', 'ce665024885e22ed', '4617ef7936485ffa', '20a586151234a5f8', '19fb262a45b3ef97', '7649a0332a1928f7']; context = [[111, 155], [132, 171], [49, 92], [19, 64], [7, 44], [54, 87], [51, 93], [5, 44], [34, 71], [11, 54], [59, 103], [6, 38], [16, 63], [35, 80], [81, 127], [91, 125]]; loss = 0.012939 low_pass_filter = 0.300
+Epoch 0: | | 8069/? [1:24:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 8070; scene = ['7ea87108923ad973', 'bf1e45d46d857e46', '094bc5ccab2a1cd8', '789918a24a392de9', 'b06f62629ad625ab', '75d7ecd5eba8b599', '3de0dcefa81681e1', '94857302bda9d65b', '58b6258ca84da2f9', 'f4df65cad56a10b8', 'd6b7a7a9b3091886', 'f833af59fc33c0d1', 'c390ed5cdfce1076', 'c99563873d943d5c', 'c363f4b694a2c012', 'f057b6113f2f4e6f']; context = [[0, 33], [58, 90], [31, 77], [8, 43], [79, 118], [95, 132], [13, 60], [25, 73], [3, 42], [90, 134], [196, 244], [11, 56], [22, 66], [74, 122], [143, 188], [33, 65]]; loss = 0.014194 low_pass_filter = 0.300
+Epoch 0: | | 8079/? [1:24:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 8080; scene = ['9010d7d9944b8cb8', '955dc2708f0a8c31', '69042f421ba0f705', 'cd0b540ef134b6e7', 'fc504639d23d4991', '2388429b48a1de92', '32eccd253d427f87', '6c2112a2af8f34ca', '5a02f56f8414e61b', '64d8643c793e4826', '70878a6931910f8e', '4ad302dc5d512ba5', 'd839570bb3e08409', '38cc781095a4cf06', 'c14be0ac53622d17', 'a1c26749712e5658']; context = [[143, 180], [78, 115], [14, 60], [32, 80], [13, 55], [213, 246], [2, 39], [137, 172], [1, 43], [165, 211], [30, 68], [24, 68], [88, 128], [8, 53], [69, 103], [0, 36]]; loss = 0.013865 low_pass_filter = 0.300
+Epoch 0: | | 8089/? [1:25:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 8090; scene = ['ea8df2691a453116', '48f532b78845c6d4', '40eeb4602dccc097', '1535cb9280277aed', '59487394e4fdc36b', 'cf8653d94cf8dc19', '584059f95310ea42', 'b0fdd7634bc50a1a', 'ca8a288d4f798d7b', '560bd1ba2a1f52ee', '8cdb8f46a81be582', 'bbd98017a5638045', 'aa8f687d18dd812c', '766faacf860da300', '2318a23527dfff67', '87496b4445d7539e']; context = [[162, 199], [11, 55], [43, 88], [23, 67], [49, 89], [85, 123], [25, 70], [0, 36], [10, 57], [18, 65], [211, 254], [33, 77], [224, 258], [75, 113], [44, 79], [50, 85]]; loss = 0.015260 low_pass_filter = 0.300
+Epoch 0: | | 8099/? [1:25:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 8100; scene = ['bd379b3e28771222', '23a058f84d0dd0b6', '076ad1c23b556e7d', '9d72fd4253ba8ba4', 'ccd8e7726eb7c76a', 'b47316f4bcb9c5b1', '26e5a374f8b69027', 'dd62d63a523acdbe', '9a76daac7a2dfb14', 'e69b1a9afc96cda8', 'c8c127f7066b9cdf', 'c5e852504dc42c54', 'c1f924630c31a4f9', 'ce43a28a6303c289', '0cea191b82436aa4', '5d9ed4d6702a3faf']; context = [[89, 132], [5, 49], [27, 62], [1, 44], [101, 147], [7, 43], [159, 202], [196, 228], [70, 115], [9, 52], [2, 42], [40, 86], [49, 91], [14, 59], [33, 71], [60, 104]]; loss = 0.016245 low_pass_filter = 0.300
+Epoch 0: | | 8109/? [1:25:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 8110; scene = ['c17627bc5ae95e76', 'c7c6afa266a7c768', 'e7226887509e2804', 'd68d24b431277be9', '06abec1654571d74', '6b0df114b4ee6f0d', 'c5b464f6f616db88', '2926237312756de5', '7a9f8d4700e7378e', '114d1d0b142f87c0', 'af0016aa6c9febbb', '5c8f26e5bd5b69d9', '9afe61a930b51749', 'ff003daa3ae2727a', '0f4a9d91c1fdff3b', '7c50e9a254e3b2c7']; context = [[56, 99], [34, 66], [14, 51], [0, 33], [117, 163], [63, 108], [1, 33], [95, 137], [5, 51], [7, 48], [10, 56], [138, 182], [47, 89], [0, 32], [5, 42], [44, 88]]; loss = 0.012984 low_pass_filter = 0.300
+Epoch 0: | | 8119/? [1:25:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.00train step 8120; scene = ['8d4c41faae44a989', '5f82a0b9c1a81d5d', '1a87a846ba692048', '45a6ad8ed881ec68', '992703d25ac0d3f9', '06c2bc96fe172578', 'ac48243a1e1a6c5c', '2cb0e88a83fb83cc', 'ab4d0b7e8c84e34a', '3563d57b640d17a2', '800a669b1c71e57e', '34190d68a1b448c2', '591cd9d079cd7842', 'd6a80a9a0893f848', 'ee0b6a573114fac8', '1f00c672019b7518']; context = [[8, 54], [61, 106], [49, 81], [0, 34], [72, 111], [48, 85], [2, 37], [79, 117], [10, 48], [23, 61], [27, 66], [1, 45], [8, 45], [1, 39], [37, 84], [175, 216]]; loss = 0.014975 low_pass_filter = 0.300
+Epoch 0: | | 8129/? [1:25:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 8130; scene = ['80d7984ab95782a1', 'e85265a8d92fd967', '6a38e494b3371e30', '72b1eb34465dea7e', 'efb5a8b24de64178', '9ab12a31f2a3b9fb', 'faba60084d22aa27', 'e50e924b3bdf807f', 'b68285617c255443', 'ee7cb189dff51d83', '6dd75cdaf50e9f87', 'df922a3fc957bb93', '3b7054d1e4881a90', 'e60f2d56d3feef82', '01cd742e8f7fda57', 'c40b23830f7437d5']; context = [[88, 128], [1, 41], [8, 47], [17, 59], [0, 33], [74, 111], [12, 50], [36, 74], [102, 143], [79, 119], [40, 83], [30, 63], [111, 144], [0, 47], [124, 160], [20, 63]]; loss = 0.015781 low_pass_filter = 0.300
+Epoch 0: | | 8139/? [1:25:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 8140; scene = ['9d1e29a2a121db05', '6d4e40bc2b18c6fe', 'caec62a47b974e4c', '6847ec57bb326a47', '5a46037c1b54c067', '093df93974dd88e3', '41d23ddea7fb5a69', 'd748db4f2b55bf07', 'bcfad22aab5919a0', '6aa36cd6997270d0', 'dcf95e3ae52921a7', '7ff921ad3543f5c4', '3d6f30837a184153', 'f6ab85df05640a20', 'a24aaa1c6d7385e4', '58d863d09ad077e4']; context = [[106, 144], [19, 66], [54, 89], [49, 92], [30, 70], [41, 76], [27, 67], [8, 53], [18, 55], [11, 56], [79, 113], [10, 48], [79, 114], [21, 56], [136, 183], [10, 51]]; loss = 0.013736 low_pass_filter = 0.300
+Epoch 0: | | 8149/? [1:25:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 8150; scene = ['1ac86acb340bc4b1', '8cf108ebcabf320e', '3c5c4029484dfc0e', '3ebf9edd22c530fb', 'f861928a97fde2a0', '54d0907d4b6a32e5', '1a3e987a8657a250', '3847362a365b15c2', '9d3785df6817e083', '37a9e1c13302fc54', 'fb51d90f59dd81aa', '4f014cce9cf0b823', '80ba2b3e340a0473', '9beac3cf904bf329', '1ff6f068edd2bc64', 'b63e4698070a825d']; context = [[83, 131], [151, 195], [0, 48], [50, 89], [104, 143], [49, 94], [21, 67], [73, 114], [4, 43], [3, 43], [189, 228], [219, 252], [5, 48], [62, 98], [53, 86], [56, 95]]; loss = 0.013242 low_pass_filter = 0.300
+Epoch 0: | | 8159/? [1:25:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 8160; scene = ['0b80f0a65d269cab', 'f06818ec7902e934', '2c35ecdfd4f6e8eb', 'f6aee59e21723407', '24ac827ffe43978b', '1bceb09e66d92e69', 'd2d654c46067da8e', 'b9931f194a7305d7', '66f1ede9dbc3cc9a', 'bec56799bb53afc1', 'bdf63e25c9f941a3', 'ecc967837b29dcf8', 'aecc8b4894a6aae6', '5f2d539c6dcc0a82', '67d059492bf13057', '8aca46af47f5c01d']; context = [[0, 47], [71, 116], [20, 67], [53, 86], [32, 65], [47, 79], [58, 102], [55, 96], [13, 61], [0, 38], [23, 69], [26, 63], [9, 51], [125, 159], [15, 62], [27, 67]]; loss = 0.014480 low_pass_filter = 0.300
+Epoch 0: | | 8169/? [1:25:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 8170; scene = ['27f9f9c7ab8235ea', '2827b0aae8ec97a5', 'cd423ac17f3531b9', 'a7b42fa94e87dd49', '83f1586e36912120', 'e1bc9239003a5abf', 'f031d05503fbf499', 'd0dbeb1f49cf3a94', 'fce83ce9fd901e10', '9b2ed1cbcfce0907', 'e5b61893af5af503', 'bdcb6598be7b9526', 'a2c2b5dbef40f345', 'c2057db756174225', 'b8957b5a607ba2f2', 'b17c9946c0e0e6fe']; context = [[21, 68], [0, 39], [13, 55], [34, 75], [44, 88], [173, 221], [84, 130], [12, 59], [124, 168], [49, 85], [0, 44], [127, 171], [1, 39], [3, 43], [23, 67], [1, 40]]; loss = 0.014631 low_pass_filter = 0.300
+Epoch 0: | | 8179/? [1:25:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 8180; scene = ['6d3d022cd71a6c1b', '77a0fdc6389de36b', 'edf8fdfe10fb893c', '1fba7a1a16edf7db', '90686fbf5ca9bd0a', '04c4c5a25b4ccb21', '17d74baebc458fb9', '34769f82ff4b286c', '4df2a98cf2678d8c', '232da3c3c432bcf5', '2804817967c9ab8b', '2bf2121510674b04', '526648b6db73136f', '7950819803c38007', '012f1ee280aa6e08', 'fff64f42340c9f92']; context = [[26, 61], [1, 39], [50, 88], [120, 158], [55, 92], [41, 83], [11, 57], [30, 74], [28, 61], [65, 97], [70, 108], [155, 194], [173, 205], [81, 122], [34, 68], [37, 82]]; loss = 0.012860 low_pass_filter = 0.300
+Epoch 0: | | 8189/? [1:26:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 8190; scene = ['93d579f589e7e2b6', '2ee60f30bf7cd949', '8c302407c7823198', '3a19113b55068671', '5b39b4c3d4a08974', '8c5c1527382bdb11', '15f4341cfd79ef34', '111b613111694571', 'e732030e9b6687c6', '0e24133e564d8c79', '75fc784f985904e9', '6f4cc17690dcdd2e', 'b3b384e4e6bb7637', '64554b0854be0a81', '2985de9108cd755a', 'a16dfe2ead47a813']; context = [[0, 37], [108, 150], [23, 69], [47, 93], [14, 53], [58, 96], [105, 147], [48, 89], [54, 92], [54, 91], [0, 32], [7, 55], [28, 72], [27, 65], [32, 70], [1, 45]]; loss = 0.016993 low_pass_filter = 0.300
+Epoch 0: | | 8199/? [1:26:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 8200; scene = ['5e1eb12727087b20', 'b30ffcaff8599d24', '67cdb94d2911494e', 'b9af4d213b624caa', '2a91efabd709544b', 'e4554693e881d6be', '7b6802baf4779efc', 'b45542de72df7a49', '20681dbdf7a604ed', '7354c8469d9c94fd', '4771a5ec59fa8971', '8004aaab224eeb4c', 'd76f86c849958bf2', 'c8a560445ed75686', 'a2195082c4afd506', '98c1f3f761b7a9d8']; context = [[36, 77], [34, 81], [2, 49], [2, 40], [11, 44], [7, 42], [2, 37], [79, 121], [51, 86], [19, 63], [114, 146], [140, 183], [3, 45], [222, 258], [60, 96], [60, 107]]; loss = 0.013907 low_pass_filter = 0.300
+Epoch 0: | | 8209/? [1:26:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 8210; scene = ['5678f1f6a04ffbe5', '5fef16c5b5a1b2ac', '2232cce71fc99952', '3975075c0abe97eb', '17f2cc36aacb70b4', '726a87cbb157b531', '0ff6e59952a084e7', '4ea6c9068cb48dc0', 'a9429915d2aa269d', '41c788506c7fb976', '706f39e2bba7829c', 'c01b2d928815f665', '7ef283cad20d0dee', '27f27352b0a7b55b', '22076596fa99b2aa', '42e960a42e34c674']; context = [[29, 73], [6, 40], [25, 57], [53, 91], [48, 90], [12, 55], [14, 62], [6, 41], [31, 70], [108, 151], [58, 100], [0, 32], [42, 85], [56, 95], [41, 79], [233, 271]]; loss = 0.013023 low_pass_filter = 0.300
+Epoch 0: | | 8219/? [1:26:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 8220; scene = ['64af4fa08b13c74a', '1028b6409fe844a9', '30c4e4e000f6e116', 'a40168cbb4106e66', '815e194dbbd8df15', '50df652eed62ded6', 'db7ab4ff7d59a066', 'dfb5ff252e8d744e', 'dff49a02b469a780', 'd40f8c821c094033', 'd19836a61f80f65a', '90d558cf6e28e118', '26088dbd45a7aa54', 'd253a755fbd1d015', '7acc85ef88e5a186', 'c6da0d81f35e345d']; context = [[104, 138], [177, 210], [45, 88], [52, 91], [182, 216], [155, 200], [10, 46], [5, 40], [19, 61], [5, 49], [106, 154], [37, 81], [30, 72], [3, 48], [130, 175], [108, 147]]; loss = 0.013536 low_pass_filter = 0.300
+Epoch 0: | | 8229/? [1:26:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 8230; scene = ['111714659979e957', 'f099df2efe3e4994', 'e49ae09c86374272', 'e7ed20f72e550232', 'e8dedfa84d3d44df', '2362cb1176998093', '2403dfbc8cb4d693', '58275afa53d48646', 'e27944e20f739de1', '49905e5c42e7463b', '4217a1276000f915', '48f39fdb36aced7c', '702b465575fb38f3', 'bcca5d9c32b982fd', '2d390b8ecfe886e1', '2c4ad0411fbbcbad']; context = [[33, 79], [4, 46], [16, 57], [12, 45], [57, 98], [166, 202], [33, 79], [54, 93], [14, 48], [21, 60], [67, 106], [21, 53], [72, 114], [10, 49], [7, 41], [79, 122]]; loss = 0.013629 low_pass_filter = 0.300
+Epoch 0: | | 8239/? [1:26:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 8240; scene = ['bd3000ab2c36932c', '65d259c21ebad0c7', '705f8b32e2369ab6', '57cfebab95eff038', '39562390d25ab1f7', '9127991e1bcbc9c9', 'e17be9060afc6084', '3fd8ffd6f16252ce', '589c50b99b3f9f21', '1cb7aee79f67faf8', 'dda1c2d4bd25e6f1', '66a079896a5f5de0', '619fab5acfc50704', 'dc7a324e7e3e0c21', 'c221145e989e0ebe', 'e888bfab74a31d61']; context = [[164, 204], [58, 101], [58, 95], [23, 70], [109, 152], [83, 121], [113, 160], [139, 186], [28, 71], [90, 129], [36, 75], [91, 136], [68, 109], [191, 237], [15, 59], [210, 254]]; loss = 0.014922 low_pass_filter = 0.300
+Epoch 0: | | 8249/? [1:26:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.00train step 8250; scene = ['df35aea10caff8b9', '2609a3aebef8754c', 'd73ac1e92d6afa48', '7555eb436f9bdb19', 'd2df3cb4a3676f92', '52c039e662bd4698', '57a1c0730778cddd', '8c112e57871587ad', 'afaeaf9c80c1be59', '974d35536552dc22', '737c0cfa31a65787', '122a42c5df06bb9b', '55526866fcf56e2a', '4691807a2eeea596', '4f32974a69fcd472', '0e90e8b5008fe7f6']; context = [[41, 75], [22, 68], [78, 122], [1, 47], [56, 104], [28, 72], [51, 98], [12, 52], [13, 59], [23, 71], [20, 64], [61, 98], [134, 179], [89, 128], [139, 172], [3, 36]]; loss = 0.013354 low_pass_filter = 0.300
+Epoch 0: | | 8259/? [1:26:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 8260; scene = ['0ec818f376461a5a', '59f90e73aecf538b', 'abc78476b3ad43b2', '2ee31a7780c9ba67', '9dc96e2d658c29a6', '853cea5a9bef7465', '032522f3b8efd159', 'fd313850c5fc2620', '5a9fae3ad84308a9', '854117547c5691d6', 'a9ed25f9d08ff868', 'ac2f6532424563f9', '4b7068f19d61a837', '87d078a6132293af', '7543d863a85dcab7', '8a34c9e16476e41c']; context = [[30, 71], [5, 44], [14, 60], [13, 46], [106, 153], [3, 51], [60, 106], [19, 60], [179, 215], [18, 57], [23, 68], [17, 55], [0, 41], [10, 43], [36, 83], [41, 88]]; loss = 0.014497 low_pass_filter = 0.300
+Epoch 0: | | 8269/? [1:26:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 8270; scene = ['2dd9d42b3b490c0f', '530599df6ed3addc', '24b46d24b0fa68f9', '8d9c7b05721ed05f', '20475261b8d3418d', 'fa4402c07b3c6865', 'b65e6eadba27a4d4', '79448d1fa76acc04', '0b0d341a11dc6871', 'd875f996331712c3', 'be6ea47fd801555e', '2c484e9510a83538', 'a6262cc30cd10451', '3ff6e844885bb94d', '0ec0c59f014bd89f', '3fd3e20cbc6e5f69']; context = [[64, 100], [5, 44], [16, 49], [46, 80], [28, 73], [125, 158], [147, 186], [48, 83], [63, 98], [4, 50], [7, 47], [14, 56], [65, 101], [135, 170], [5, 40], [35, 80]]; loss = 0.013823 low_pass_filter = 0.300
+Epoch 0: | | 8279/? [1:27:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 8280; scene = ['56f9d7a18637ff5c', 'a7b83f26d25f8780', '23473fd064a8d6f9', '3f65b48edee5d46e', 'eb6d7b709dc9794e', 'a0026221d0003929', '45e76a3def23beb6', '48e471ff8e04710d', '4bb27aeb5837c556', 'c1415d506a1024f0', '2dbcbce67ab1aaf6', '99f71c7cad8aa24f', '2218e45c740697fc', 'f72308508a83dfe4', '9e7b6c4f5a8e92a5', '775b11c4dfe05c68']; context = [[72, 119], [71, 109], [52, 91], [35, 72], [2, 46], [0, 42], [34, 72], [46, 90], [195, 227], [36, 75], [47, 87], [9, 47], [18, 59], [168, 211], [1, 35], [18, 50]]; loss = 0.016112 low_pass_filter = 0.300
+Epoch 0: | | 8289/? [1:27:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.00train step 8290; scene = ['17087361201e57aa', '1f6a034a8566831c', '6f6d8dcd978753a3', '6b02b1580ce47546', '1ced80cbf1496d81', '0ba3f75a6d43a1e5', 'a814455509c872b1', '73eae9f932758309', '3cabead051e0630d', 'af9be62e98b8c2de', 'e8f23f5065972ddb', '959d7c0bd7c04b24', '97535c54a3152d44', '95abb7fcec549b2b', '766de6b831bd5c34', 'fe9d806cb3061f25']; context = [[36, 72], [204, 236], [65, 103], [72, 120], [19, 53], [25, 73], [7, 52], [10, 42], [57, 91], [18, 50], [183, 222], [40, 82], [217, 263], [35, 82], [9, 46], [2, 36]]; loss = 0.015359 low_pass_filter = 0.300
+Epoch 0: | | 8299/? [1:27:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.00train step 8300; scene = ['057ea4c83ccbcfdc', 'c6757efdbc060746', '6df4aea20fee24f9', '6b44fe081be25a0a', '1c9654a2caf88edd', '17efd4e064f7383a', 'c0619abeae35194f', 'c8dd5c6396f67bf9', '4d48be6420bc5e40', '671fa86ae5c0029b', '1265b84659f7b698', '614bea87443c8233', 'ce1dcc286572c12a', '112744002d2b3a37', 'bf3d2b28685327a4', '5877db77d7294c97']; context = [[33, 72], [15, 56], [134, 173], [46, 90], [1, 35], [24, 67], [51, 83], [75, 109], [67, 111], [57, 102], [15, 51], [44, 78], [2, 50], [3, 40], [5, 43], [9, 55]]; loss = 0.012158 low_pass_filter = 0.300
+Epoch 0: | | 8309/? [1:27:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 8310; scene = ['9cb47a0e0c25d4dd', '8994bd59d58edd41', '19d786d9c4cccee0', '6476fd96cf74fd99', '9a7edc2ac624a461', '3cf9a02bba6a972e', '56387afc52492719', '406d10b8c85ca364', '28a7ae9192740d6e', 'f8018d4c96606604', 'c556de7049d3c0df', 'dec605b552086fb5', '488e139f9c2b0e81', '92322e57dcdad2ca', 'ef186391b3ac7cca', '7976cde98101d0fd']; context = [[28, 65], [24, 61], [152, 196], [58, 91], [9, 42], [68, 107], [52, 87], [23, 69], [38, 86], [7, 47], [33, 71], [20, 58], [21, 57], [32, 71], [174, 216], [15, 53]]; loss = 0.012588 low_pass_filter = 0.300
+Epoch 0: | | 8319/? [1:27:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 8320; scene = ['83042724e97ab2d6', '301709115cae6bdb', '0071f6d0b342c75f', '3223635c785c9718', '435fe174264697a6', '52914ada3d21bb9a', '22dd0c673b90e0f0', '3d74489372089c48', '211ba20868a52208', '9f0cb34a36fc4260', 'e280e5d4cd514531', '7dc2da97423f053d', '58adcbde01e5c437', 'dd9bed08c152554c', '57e607bc8cd5d233', '658fd2565c2cd3bc']; context = [[17, 58], [178, 222], [39, 86], [40, 72], [87, 123], [71, 109], [46, 79], [1, 49], [0, 37], [70, 103], [46, 84], [50, 82], [37, 80], [19, 59], [202, 246], [7, 55]]; loss = 0.015805 low_pass_filter = 0.300
+Epoch 0: | | 8329/? [1:27:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 8330; scene = ['a74bc46de5a58ca9', 'e7fec1ee1cf98b16', 'f33e63a20e080399', '29c79f791d50eb63', '69ec027b22fd5db4', '17db1dd300d539f5', '566f41051767b7a4', '65b05dc4cb31bf45', '180c4ba9f87f427d', '3aa5ea79245df8b5', 'cdcd7bd6217eaae1', '8463e86cf267681b', '1918093c072f7cdd', '211054510cc7e332', 'ed3fda3e5a79de50', '6ace6bd073bf790e']; context = [[11, 51], [0, 45], [6, 50], [46, 78], [0, 39], [34, 75], [76, 109], [40, 72], [31, 72], [6, 54], [4, 43], [27, 62], [12, 59], [23, 71], [100, 133], [0, 44]]; loss = 0.012577 low_pass_filter = 0.300
+Epoch 0: | | 8339/? [1:27:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 8340; scene = ['538fac0821f2f815', '249f78d6d0b9f4a4', 'e191c3d4ea711568', '3efb7ee8089df453', 'a6921a7122867817', '60633f3785e8fc3d', '6ba12d097566dbdb', '2ff32d3c912d6d4b', '835a96da6173dd7e', '458f38fa2ef28e63', '1a0edf6869012b99', '09db4e6feaea4714', 'e80ac219ae75ce5e', 'ec2e3374601803b6', 'f38d945b92c6e0e2', 'ba57ad8ee0354f53']; context = [[28, 72], [67, 115], [40, 84], [0, 37], [114, 155], [80, 127], [40, 76], [55, 95], [96, 140], [154, 193], [0, 41], [69, 106], [121, 154], [20, 65], [80, 117], [30, 72]]; loss = 0.013853 low_pass_filter = 0.300
+Epoch 0: | | 8349/? [1:27:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 8350; scene = ['86b2148a874426f7', '5840cf6b3a565186', '20118e3fb5b598ac', '0f20869ca54a9011', '32f09d12fded2a2d', '5030c7214de817bc', '57842a9de1745147', '5f682ba84996ef9d', 'c61fb3734309d031', '071808f628241b81', '9222df4e186ed96f', '432f64556c7cdfa2', '32ac3a3e45fea2f2', 'ae43b854a34b208c', 'e04c8f59aa6d3c50', 'b8176bf54449942c']; context = [[37, 75], [2, 36], [4, 36], [105, 144], [37, 73], [98, 139], [10, 54], [15, 50], [61, 100], [15, 61], [36, 72], [35, 78], [11, 44], [2, 39], [172, 208], [32, 80]]; loss = 0.012923 low_pass_filter = 0.300
+Epoch 0: | | 8359/? [1:27:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 8360; scene = ['60d2537a38149999', 'b043b8a11caf2162', '7de470f122c55a25', 'd764566cf5adbdfa', '6e15c68f6be4d46b', 'c56ff3fa210c1457', '9864102a74592a61', '32f43866ffda7f8c', '241cb6c1782eec63', 'c82d650fe5734c85', 'c5ed8ec466ba90ae', '6bbbafed0ea0907a', '7323b192f14eec56', '9020573e36356e3f', '2b36d6197e8ad551', '916ccb4d52fff634']; context = [[57, 104], [36, 72], [28, 72], [39, 73], [14, 46], [51, 96], [5, 41], [43, 75], [13, 47], [137, 177], [183, 216], [135, 175], [55, 88], [11, 59], [117, 164], [62, 94]]; loss = 0.014092 low_pass_filter = 0.300
+Epoch 0: | | 8369/? [1:27:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 8370; scene = ['a07ad67e90a850d6', '1db30a541e4631c8', 'fc0f51dc37875ad0', '7090f32f4f8d4f66', '2ab21cac57ff6b4c', '12048355d2052d78', 'ac9bbd8efad4b995', '85f5116d79acb22a', '7850797441a57de9', '5b7e5ce68733bcc4', '72cdd65567fa4c64', '11db2e14d64c1b42', '7eae59259910a160', '564437b001139667', '51f80353f6008c4f', '5fce462dcd2dd40b']; context = [[15, 59], [6, 53], [6, 49], [51, 91], [42, 88], [4, 38], [64, 101], [99, 148], [58, 105], [150, 191], [170, 214], [187, 235], [173, 214], [130, 172], [137, 169], [11, 47]]; loss = 0.017573 low_pass_filter = 0.300
+Epoch 0: | | 8379/? [1:28:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 8380; scene = ['a5dc410ab6b6ffdc', 'da5e405bf55673d8', '9b5e2c34608774a6', '9147af809fdbd541', '89610e2709f7fe4a', '8878e3e5da03fac7', '26a19d5d4d76f83d', 'cd6004a198ec5ce7', 'f3c8c41d370f099b', '4a65f191eae6e76b', 'b23159314d446ab6', '87f309174a1f7823', '172007be3056a5e3', '6b73871e384a0f75', '5008766324e8b11e', '4ce4f59bf1d11122']; context = [[1, 36], [4, 41], [105, 153], [27, 74], [0, 34], [23, 66], [2, 48], [14, 49], [30, 67], [0, 34], [5, 46], [139, 177], [156, 198], [61, 107], [3, 46], [64, 107]]; loss = 0.012714 low_pass_filter = 0.300
+Epoch 0: | | 8389/? [1:28:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 8390; scene = ['bfbeb1d1304339df', 'c79cbd9f54fd705f', '6762dd4ad61363ba', 'a2dbdbbc7abf37db', '5a151a5d670367b2', '6b0ea22bc361f3b7', '8a0c33f92ff9d399', '11488bb89b8c9ca8', '3c52aba6279f277c', 'ce8a19e8c1247898', '639e36e3a36a025b', 'ea2f644e1ae2e814', '29bafea4e1c2b47b', '2e3b604fa392c6d9', 'f48239bf83764a8b', 'a03f8ec6dc3b941a']; context = [[0, 33], [20, 57], [24, 58], [39, 71], [28, 68], [82, 123], [13, 57], [3, 38], [84, 116], [25, 68], [35, 81], [33, 70], [0, 43], [14, 55], [16, 59], [96, 144]]; loss = 0.012879 low_pass_filter = 0.300
+Epoch 0: | | 8399/? [1:28:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 8400; scene = ['baed0b1b56664c55', 'f7f116fd4890b30f', '877a629d92b63701', '70c64ce0990243b8', '9bd581fca2259350', 'b4cbe1753e9d2ae4', '7fd277e5b05ceba5', 'dd33a349e8d438ad', 'f36cf47d7433abf0', '2d028ca4f2b793c9', '5dea38e23f887399', '46ef434380db311b', '72e1d432295370f3', '683c4fe20bb08898', 'cfba234676b286de', '4571c44c4d8fed1d']; context = [[13, 46], [58, 97], [30, 76], [43, 80], [59, 99], [172, 213], [93, 132], [56, 89], [218, 259], [224, 257], [49, 91], [81, 116], [26, 66], [41, 81], [111, 150], [10, 46]]; loss = 0.012563 low_pass_filter = 0.300
+Epoch 0: | | 8409/? [1:28:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 8410; scene = ['eaad172af4bed484', '098551f9c9f62f6d', '0dbb3494ed500eae', '00c5fe571a003deb', 'f21373f17f775031', 'f7d137267504d848', '5ce43e240dbf8704', '0b10bd983b7904f4', '6d1341b87237bb6a', '8d2cc65bc5823183', '0f6bd86d073ffa4b', 'c386044808598461', '7be1f03b786006fc', '3de83835be367bdf', '9aecffee631175f9', '5ea5a5ed231c5753']; context = [[42, 86], [13, 51], [47, 92], [22, 54], [1, 37], [58, 107], [19, 65], [128, 176], [49, 90], [9, 50], [43, 84], [24, 56], [50, 90], [16, 63], [127, 165], [37, 78]]; loss = 0.015794 low_pass_filter = 0.300
+Epoch 0: | | 8419/? [1:28:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.00train step 8420; scene = ['4595fe6c08ae6c78', 'e281e9def71a5d75', '861d4feec5f9b49b', 'f60634cf55eaf7a6', '35891bff7199a043', '430a2156b3d644ef', '57a7869c80122094', '02d2e00211f4cce5', 'd43b2589bfad420d', 'eb60b162a280124d', '07dcbe8c5f9d28f5', '516fd962b7841a48', 'f1a132429305495d', '8ba00e36506d98e3', 'c1edfd2888b2f733', '7ba0bb51ce172710']; context = [[97, 133], [0, 48], [8, 46], [11, 56], [163, 199], [33, 74], [62, 99], [4, 40], [130, 175], [44, 87], [64, 104], [2, 40], [6, 50], [1, 49], [49, 86], [17, 60]]; loss = 0.013007 low_pass_filter = 0.300
+Epoch 0: | | 8429/? [1:28:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 8430; scene = ['1ae55eaa9c1fa1bc', 'c09d296599e17841', 'a0a1844c5e12099c', '18d484c10ddd399c', 'f78559d07247a361', '9932456c01feb34e', 'ee1b11a998105ff1', '87b7a125feafd7e4', 'e79e73a9a9314b0a', '10f06c35440e8272', '5e917bdeae4efed9', '9705991bc10bdd2b', 'ad5ec508098f2090', '13a6fbfd56e93d0f', 'f4f10627521e2aaf', '749a509eb127ea56']; context = [[124, 168], [69, 110], [29, 69], [12, 59], [137, 172], [45, 84], [41, 80], [21, 68], [5, 44], [29, 68], [139, 181], [8, 48], [92, 136], [67, 112], [22, 65], [123, 168]]; loss = 0.013702 low_pass_filter = 0.300
+Epoch 0: | | 8439/? [1:28:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.00train step 8440; scene = ['b34e0d2de4922a5f', '6ae8c8411409740a', 'f4e2ad73e8e71b41', 'a6bee29ca4b79051', '92c12779991d2c6d', '7697b3c244fd6d78', '2e6a0cbdbcf21085', 'f4169cc065e23946', '4fb7456109baffbd', 'a6ac9800e1612d7b', '3d50dc48f74ae737', 'bda52ecfcef87a70', '13db405a18f9977f', '64c6dd8bf902c67a', '063c449435fb28bd', '84915ac53fbf7e09']; context = [[20, 64], [4, 43], [29, 63], [51, 91], [5, 54], [65, 97], [76, 114], [130, 170], [54, 103], [19, 68], [128, 177], [28, 60], [96, 135], [55, 100], [67, 102], [139, 184]]; loss = 0.014447 low_pass_filter = 0.300
+Epoch 0: | | 8449/? [1:28:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 8450; scene = ['f429e6d259c28372', 'fe06a555231819c0', '85f8f13158886489', '95f905878c3b0b83', '458766c5d05f8d15', '803178124802c1aa', '4c66b84948f73330', '274e2cb48e606aee', '1b6dcca70c31d4c3', '0b39518790231c83', '035e60a5f98d750c', '37e5fa0dcbbfde35', 'a7e462a87b62cb4c', '107af454fac6d8d3', '96972262198651b0', '8c6994c864878a3a']; context = [[5, 45], [136, 172], [17, 55], [29, 64], [138, 177], [59, 95], [237, 277], [55, 92], [3, 35], [223, 266], [0, 33], [9, 50], [55, 97], [13, 47], [78, 115], [53, 86]]; loss = 0.015216 low_pass_filter = 0.300
+Epoch 0: | | 8459/? [1:28:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 8460; scene = ['23d5841286667eba', '4b7302601da9f913', 'e1b0771ca0e3df03', '9a4c315e3e6350fc', '903133b737740df6', 'a983e4858e5022e2', '1a70ba4b57f2d03a', 'ff4a1fdcceb11eac', 'ce2a1c1f5d1dcd1e', 'eebc10a8972de7ee', '0013a39f3a02b5c3', 'd4f1e8b6c1597afd', '3703cfac805ce3d5', 'a071d9276f6a9272', 'c7cf9b63dc3e5830', 'f16461e58448c4a6']; context = [[100, 142], [198, 247], [48, 90], [18, 57], [42, 79], [36, 72], [0, 39], [21, 68], [3, 36], [65, 110], [12, 52], [186, 228], [177, 219], [64, 104], [38, 71], [1, 34]]; loss = 0.014603 low_pass_filter = 0.300
+Epoch 0: | | 8469/? [1:29:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.00train step 8470; scene = ['5b2576a9a8cbb64a', '40e66225ebecabd3', 'e7279a1709bfe47c', '7e8de7c59e3446b0', '15846777cdcb218d', '7925c51f6f81f07a', 'a790feefc6415597', 'bd53fef49a01c456', '150a1bb34de1213f', '1ce1dc3a23271e2a', '3980b7d275431f0a', 'c1fc33e9354b06ba', '11d146cea9e555b6', '184f88882b243fb6', 'a53e86a301e2d2b9', '611e7445a2567f6c']; context = [[3, 44], [2, 42], [107, 156], [12, 47], [89, 134], [35, 76], [174, 210], [29, 69], [18, 52], [0, 32], [38, 82], [79, 120], [134, 174], [33, 80], [157, 192], [181, 214]]; loss = 0.014401 low_pass_filter = 0.300
+Epoch 0: | | 8479/? [1:29:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 8480; scene = ['5bf15bd410312ae3', 'a16b0c66cd110882', '0aad9b814aac4db8', 'bb115a9071e2ee44', '34193f7fd37e5d4a', 'f76dc874607dce8a', 'eb4645960b5e3ec2', '2fb54641bbff602b', '4ca745c7db2144d6', '69cc93892cf83f80', 'ce1939d4a39ec7c2', 'd37931442bb53857', '1f817d9e3f71235c', '466d08ca50d6fa94', 'ab1db80bd5923f81', '472e204401a1bfd3']; context = [[36, 76], [20, 55], [229, 264], [38, 73], [57, 100], [55, 90], [31, 78], [63, 99], [224, 270], [3, 37], [14, 54], [18, 66], [75, 117], [14, 62], [31, 77], [222, 263]]; loss = 0.012751 low_pass_filter = 0.300
+Epoch 0: | | 8489/? [1:29:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.00train step 8490; scene = ['98fcfd8ffa22fc8b', '2ca62bc0dc91e75c', 'e4154d0f6d9119e4', '17071d654501dff2', 'e5982d41ac4b91de', '9c715fc7130e0184', '8f79259ea97e3978', 'dc2ba641e3e2836d', '26944b37c513e89d', '0889ef3ac98ca05b', '5c4e9cce07e2d371', '8069eabd958650df', '23e97fd6b2865b82', '2a113c6c2cc84df4', 'd7e5e7068523724b', 'f91d2f77b80c54eb']; context = [[190, 231], [18, 67], [89, 125], [79, 119], [11, 45], [28, 66], [2, 43], [1, 50], [6, 50], [10, 42], [54, 87], [20, 69], [83, 125], [46, 92], [188, 222], [7, 40]]; loss = 0.012347 low_pass_filter = 0.300
+Epoch 0: | | 8499/? [1:29:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 8500; scene = ['ae9f87b6c5c2c5de', '71bb80ab49a07c24', 'f9e59718e238a159', 'd59c00fd440ac6c5', '6b3e1c805ca87fd7', 'f8b4c73e8050c659', '7e9d04a1d9046093', 'd8a2cf8b506f71c7', '0264cec7a5303ccb', 'ce5fbfc75c316c2c', '426790db8571d894', '3872d370c1879014', 'c83f4f9c4271aef6', '1cf3054fc373947b', '76f1f99b2f95a66c', 'bb76208880c43693']; context = [[35, 78], [139, 187], [43, 80], [110, 148], [52, 85], [1, 34], [2, 34], [30, 66], [2, 40], [147, 193], [7, 40], [37, 72], [0, 43], [65, 112], [8, 54], [27, 74]]; loss = 0.014311 low_pass_filter = 0.300
+Epoch 0: | | 8509/? [1:29:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 8510; scene = ['a557eb3b4761195f', '008caa6df1da0cd1', 'a600ca6d66d0a794', 'f9acc10370d2e6af', '2204043a891bf605', '8a252f4a6d4bc4e2', 'fbf2a517abd3352c', '408a4ff7ad7f80bf', '6b7048d3a2bcdf35', '4dae38ded755d705', '92e7dcb8dd47d9f5', '818489c872b5472e', '72462c3f55e7b2de', '86af1bed194ddeb9', '173cca7b55907996', '102e0c559cf643b1']; context = [[17, 50], [53, 86], [99, 148], [14, 62], [28, 77], [7, 47], [16, 62], [18, 67], [18, 57], [9, 55], [154, 197], [91, 134], [23, 59], [24, 62], [135, 184], [144, 185]]; loss = 0.014207 low_pass_filter = 0.300
+Epoch 0: | | 8519/? [1:29:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 8520; scene = ['de17bf629d65d90a', '399cafe233afe35b', '5fd2c3f026ad348e', '1e2602930aba2625', 'a5958226d3c882ae', 'e23b1573b9c59b53', '17a3b2973ac260d8', '0e31843ccbe9288f', '98ef68c4851639ba', '86dd3f82c63f34de', '372f7543b01492bb', 'a7230e7beec10db1', '300adc957395e750', 'd2f93cc10e457b9a', '38c35bf2ece8a4bd', '15b10c0ffb6e03c9']; context = [[65, 99], [2, 44], [8, 53], [29, 63], [49, 93], [27, 75], [177, 212], [62, 102], [1, 44], [23, 59], [35, 78], [15, 61], [53, 91], [84, 130], [43, 79], [42, 77]]; loss = 0.017759 low_pass_filter = 0.300
+Epoch 0: | | 8529/? [1:29:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.00train step 8530; scene = ['f270219c01c51804', 'dd5b07d83d0693a4', 'cb36a24975ac0d40', 'ba71441079a79752', 'ca9c396f0ba249a3', '3cfb2bb6addaab04', '63a669ba5d269266', 'b438915a424387e4', '92bf6f6997e63996', 'f6ea4a33482b14cf', 'b16a5957d0cb2336', '26923ce39ef7e6c9', '27d9c566d58acb5a', '90105819e3590888', 'a779cbed95bd0cc2', '21da907c41e1f6b8']; context = [[109, 153], [120, 168], [37, 70], [82, 123], [90, 130], [24, 72], [0, 46], [36, 70], [12, 57], [41, 86], [218, 257], [9, 50], [101, 141], [1, 40], [105, 147], [13, 45]]; loss = 0.016638 low_pass_filter = 0.300
+Epoch 0: | | 8539/? [1:29:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.00train step 8540; scene = ['05985e1284e4f7c2', '9c484e3bf902c5b1', 'e9c0e2d0ddf458f1', '1072d53e5353bac5', 'a1169316c41a6e2b', '802aa8d1e6f98319', 'c25af3c113c46858', 'd8b5a1086c0e2ab1', 'fea26d7b2563b027', '1808ec7cc410028c', '1aac18a37b75e13d', '5661874e84a498a5', '0d1f13c67d0758eb', '0aaaf5508f2ff485', '9f9f38862998b28f', '79fbc7aee92af1ae']; context = [[16, 61], [1, 47], [5, 54], [17, 65], [6, 45], [15, 53], [14, 46], [211, 256], [123, 172], [106, 138], [1, 42], [41, 74], [34, 79], [7, 47], [58, 107], [37, 81]]; loss = 0.013135 low_pass_filter = 0.300
+Epoch 0: | | 8549/? [1:29:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 8550; scene = ['34efaf4f55a91b71', '073b157ef9c22ce8', 'c1575fdf39330878', '3d91b43e1a09c619', 'd036f6f2ad1e3e8a', '2687bc1e51a4e36d', 'cd2529997d3ef9fa', '8ead427494d4082a', 'd9a5d625a7e07b16', '7f42a24413a95630', '1ccf620f6be00648', '6d254603864653d0', '2703defbd6af2f14', '97a073a926498924', 'bfc4c5b197bc98f6', '8d319176f3979cbc']; context = [[47, 86], [32, 72], [0, 32], [74, 110], [136, 173], [10, 47], [26, 63], [169, 208], [131, 170], [26, 69], [59, 103], [10, 59], [88, 135], [7, 51], [107, 148], [1, 33]]; loss = 0.015016 low_pass_filter = 0.300
+Epoch 0: | | 8559/? [1:29:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 8560; scene = ['1471bff70ae3f991', '8a1248c358dd6faf', 'f08afff6a1ca5fd4', '12ee2e63b5205bbb', '0b6430c9c86ecd2b', '679bb6274ee365fb', '5e38f79dedf099ba', '36448d76987953ac', '8ee74cce1ff8955b', 'df866e209d0c712b', 'db76f48be2e799cf', '9f889b4c862d5062', '4342bb424d03acf7', '1e6a5d55d4fa3384', '03db6159e527c1b7', '8b95fd46af2120e1']; context = [[0, 38], [22, 68], [14, 47], [0, 47], [43, 77], [39, 77], [10, 49], [70, 118], [33, 75], [98, 130], [6, 53], [3, 44], [67, 110], [111, 156], [66, 102], [31, 63]]; loss = 0.015946 low_pass_filter = 0.300
+Epoch 0: | | 8569/? [1:30:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 8570; scene = ['dc73b2d2bbc66fc0', '7a6ee5aa04ee0360', '80d0c8dba40492dd', 'f65b0f1c85220945', '06c874419d85a8e8', '98d0bc07e597d5b4', '0efb484bc85b5e8b', '108004383c3ebe6a', '0203111abb410f9e', 'dae8511d887e9662', '6c5febd1d956e17d', '371540bbfd07cee8', 'ac65b15a2ffa472a', 'ba81a709a3ccbf60', 'f6af6e98ca00f6e4', 'e0c6d65300fd0eca']; context = [[83, 123], [4, 40], [36, 76], [139, 186], [28, 74], [18, 61], [37, 80], [1, 34], [133, 173], [2, 49], [72, 112], [172, 208], [198, 246], [25, 73], [39, 87], [12, 53]]; loss = 0.012332 low_pass_filter = 0.300
+Epoch 0: | | 8579/? [1:30:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 8580; scene = ['d0cea94d114a9d7b', 'b799dd086991d0b9', 'fc36a95ce36f6aa0', '09c19f8ce4da6eae', 'be79c579399cd281', '2b5af0051afc8e5c', 'f918eea9b5ac04b9', 'f72de67ae0a30579', 'fcffe98256ef69b7', 'ec3cadce0704357d', 'ba2cf4bb07121298', 'f7ac4679fb8c22bb', '7c24aab4627df28d', '1226d870e4a53a8c', '5e4d24795724b02c', 'c0a52256adc1777e']; context = [[1, 43], [40, 76], [3, 37], [45, 91], [178, 221], [7, 48], [5, 43], [25, 73], [63, 96], [70, 103], [4, 48], [40, 72], [11, 45], [58, 102], [68, 115], [51, 91]]; loss = 0.014625 low_pass_filter = 0.300
+Epoch 0: | | 8589/? [1:30:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 8590; scene = ['7df9941d67654aac', 'd6aa2c7c076d2738', '4c212add50c782fc', '212fec778f1a2735', 'd29332e9bf77c2d3', '78208374d1d0f462', 'b891cea879d02344', '79839b5c36f05295', '4ef1b2f5d77153c7', '3c22fbf37600e8e7', '474f5ced7a7f56fa', 'da3268230ac49f28', '3e639512007f1f26', '268412437e9d4613', '13e9968df59dd316', '5e1eb12727087b20']; context = [[23, 67], [0, 32], [2, 38], [75, 122], [5, 37], [61, 107], [11, 45], [3, 38], [134, 169], [48, 94], [62, 111], [3, 40], [21, 70], [28, 75], [32, 71], [31, 80]]; loss = 0.017997 low_pass_filter = 0.300
+Epoch 0: | | 8599/? [1:30:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 8600; scene = ['45d1ce034325d8b5', 'a5b167a51f1d8397', '8acffd95fbf48c10', '3b7e2ac007968838', 'bc30fab0317ce551', 'd4f58eddfca6260f', '40d0ba7e188c5151', 'ce019e2e248ec5b3', '1346c01a9e322da2', '76467df94b133797', '58ac0ca6ba85ada9', '90e4f7b0d3147f4b', 'db30a004a7ebb212', 'c985e6462e64cf36', '31ff05dbf772323c', '6f77387bc2a9fc8a']; context = [[53, 93], [10, 45], [33, 66], [15, 49], [165, 199], [2, 51], [83, 126], [13, 54], [99, 135], [13, 60], [212, 251], [17, 56], [31, 66], [24, 71], [33, 71], [33, 82]]; loss = 0.015225 low_pass_filter = 0.300
+Epoch 0: | | 8609/? [1:30:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 8610; scene = ['91d39686ae23230e', '0eb3fd35dea6dea0', '7ad5e90fc8434219', 'a27aaba0c4a2b558', '6465050cb3142bb6', '9c9b04a677060b5f', '501c7fced48eba59', '3a5fdf1030d55af7', '6897a323d67edc41', 'c1a04c25ccb94aee', 'a39df60612b60375', 'c4ae95c34e204d53', '4cc30df9ffe2c183', '6b018f51e78af306', '7822e98d0f6f0d03', 'ea9b827d14fea943']; context = [[88, 122], [16, 55], [185, 224], [3, 46], [0, 33], [8, 51], [9, 55], [9, 50], [9, 51], [100, 148], [85, 133], [62, 101], [14, 55], [8, 47], [67, 106], [23, 70]]; loss = 0.011404 low_pass_filter = 0.300
+Epoch 0: | | 8619/? [1:30:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 8620; scene = ['1d62110dd9520748', 'fb7924e8e9d8aa21', '5e35044ad1c8b2d3', '5172fcd818bcd784', 'f8750505219fabbc', '2b19fbb19cc63ea6', '3153fa729f8a1248', '839f83294bba27fe', '2302741a787dad91', 'afd32aa3316f6c5b', 'cd1610cb47c9f027', '84fbc50f4d2638b2', '3a006400a70e36a8', '4385a3b16d321702', 'a00596889eff80ec', '1c50722fddad9593']; context = [[36, 76], [34, 77], [68, 102], [2, 37], [65, 109], [5, 40], [12, 58], [24, 63], [180, 224], [64, 103], [8, 42], [7, 44], [91, 130], [5, 45], [119, 160], [18, 61]]; loss = 0.011480 low_pass_filter = 0.300
+Epoch 0: | | 8629/? [1:30:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 8630; scene = ['e36703ea5319facc', '31faf11f780fd4e2', 'f3ca83f9f1a724e5', 'c36502c018662df6', '1605547c69523eec', '386946683ab3f8b6', 'b6a00c02405f91c9', '9c40bd34bf257a2f', '2fe65762fe742c92', '943ba380f930ba42', 'cf4339f5f5f6bcd0', '7f04e2db1a0194ef', 'bf7a9d577bd81dd3', '0e12847a03d29c75', '1bb6c9f319cd474f', '62d591164844c092']; context = [[31, 71], [4, 44], [5, 43], [18, 55], [205, 248], [206, 250], [6, 43], [47, 94], [1, 48], [30, 76], [80, 117], [142, 187], [33, 65], [62, 101], [49, 87], [43, 85]]; loss = 0.015170 low_pass_filter = 0.300
+Epoch 0: | | 8639/? [1:30:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.00train step 8640; scene = ['683f583409f21d60', 'bbfeaf1a2a7d4b40', 'b10bac1cbfbcddde', '458af535dfa1b0b4', 'a7183ba62f34173a', '78517c2f01fb6a1a', 'c4ca49d7883dddc2', 'ec91db3a6a9c1dd4', '346b52062f9b72be', '0efffd416c256239', '22930879e33707a9', '273484bb77be7265', 'e4c4cdff76559bae', '4b4099c29345fd2e', '9ee685d1d7c79fca', '10e51a6cc47aeb5e']; context = [[28, 74], [149, 195], [25, 74], [196, 229], [5, 51], [53, 100], [38, 73], [154, 188], [37, 78], [59, 104], [68, 105], [29, 74], [8, 47], [26, 66], [29, 70], [3, 49]]; loss = 0.012194 low_pass_filter = 0.300
+Epoch 0: | | 8649/? [1:30:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.00train step 8650; scene = ['367f348575198f6a', '56ce2c6212dfcee4', 'dd3f9caf72c2f70c', '86456b2758a4e51f', '1f7d2289dd8cb483', '7b76a92fa62c4c69', '8f0a53b40fc2fc33', 'bafb967ba16f2dac', 'a550bd5639d72a90', 'ef2563a0feee9cf6', '4a836695ffd00e9a', '3a29c0593ca440c5', '01212d27fbe9df5a', 'aedfba3f04e24043', '26dcc318957a558d', '9e6d2ee8be04bffd']; context = [[77, 116], [139, 182], [16, 61], [46, 78], [9, 54], [54, 97], [82, 117], [42, 86], [65, 113], [207, 245], [63, 106], [43, 76], [33, 73], [4, 42], [61, 100], [3, 35]]; loss = 0.012772 low_pass_filter = 0.300
+Epoch 0: | | 8659/? [1:30:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.00train step 8660; scene = ['c217a3657288de87', '21441ce339017578', '481bc28cf74dc03a', '091c8797418a4568', '7629b9492036f956', 'd850754e786fd50a', '0a55e2c3de6b1747', '9d22bccbfe1510df', '7a9005af7c4d4d0e', '00eb40d5943d736e', 'a9078505733cf9d7', '96ce5de416a83b88', 'ad6f19259e566310', 'b82626b72a875d21', '21b9ab8241a464ef', '8098a4b5e731a973']; context = [[0, 33], [144, 182], [115, 150], [51, 89], [35, 71], [68, 106], [2, 39], [39, 81], [26, 64], [12, 48], [28, 70], [0, 35], [65, 108], [45, 78], [12, 50], [18, 53]]; loss = 0.012542 low_pass_filter = 0.300
+Epoch 0: | | 8669/? [1:31:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 8670; scene = ['28f20a9f8f37a745', '89319c338ce8e69d', '981ec506f38ccde6', 'ca466f0a5a9eb770', '86c8bdb3b7176f12', '9378834edf2b110a', '52bc5e66187ece16', '55f82df26da1032c', 'b9518d3dd1f060c7', 'b3abbcb1c46400fe', '3f0d611d063afa5a', '17bd30519a9a3387', 'a5f5f9de4e24a755', '760a4c39741f46d4', '6452c61ddaaa86ae', '410d94f29ddaa79c']; context = [[108, 156], [40, 87], [27, 72], [32, 64], [38, 78], [24, 58], [17, 56], [74, 121], [80, 129], [38, 84], [230, 275], [39, 80], [22, 62], [19, 56], [17, 53], [39, 74]]; loss = 0.011305 low_pass_filter = 0.300
+Epoch 0: | | 8679/? [1:31:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 8680; scene = ['d0662223d8d2ee98', '5da9b4cce553a6bb', '622f5f93cf28478a', '4fb170171642a5f1', 'cfadaab5681b639b', 'e7d3f00df2a73605', '9efb87ace2c44272', '608b389e6d305bea', '68f00fec2c235f18', '703f43df87b35d04', 'b70eb4b085094e81', 'accd0979881dc01b', 'd29b09b5f258f7ab', '116422fe7641cdd0', '8886b6ef8b1d59ff', 'b9e116b141210ec3']; context = [[151, 197], [32, 73], [6, 39], [48, 87], [39, 78], [2, 47], [155, 196], [190, 234], [59, 93], [45, 78], [57, 91], [79, 122], [37, 72], [52, 95], [10, 44], [69, 103]]; loss = 0.016645 low_pass_filter = 0.300
+Epoch 0: | | 8689/? [1:31:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 8690; scene = ['7ae6a1236289d804', '832edf4426f6b8fb', '8fef8355485fa6c9', '0e57fd444b2125fc', '15e466706ad7d02e', '2c95162efdfb9d47', 'e74a91bc68f270e8', '2b367141f46053de', '94f12948c13a9141', 'e038d189e5f90616', 'c321b34839b61119', '465b88993612ba45', 'b2c001dd5cabd4b6', 'caff5cd2094ef61a', '80c31b550426d52f', '485274f02ea43b07']; context = [[5, 54], [226, 261], [98, 143], [62, 107], [166, 207], [18, 52], [137, 183], [5, 54], [17, 67], [32, 71], [99, 144], [29, 63], [10, 54], [0, 32], [98, 131], [58, 94]]; loss = 0.012134 low_pass_filter = 0.300
+Epoch 0: | | 8699/? [1:31:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 8700; scene = ['b3b384e4e6bb7637', '93d579f589e7e2b6', 'e732030e9b6687c6', '716290f59cec96d4', '5460e2c24ab3b848', 'cf9afc4b3ec6ba7c', '2abf4fde25e3836a', 'c2f95318e09d8955', '065a1c27a4c9e0e5', '95bdea61f4c80624', '2bfd7a62ae051639', '9093c09d9919a5ee', '8e1484ee664b05ba', '5d2e4d1540f35a09', '2698ac35434969d2', '25c9f4c4b7f11345']; context = [[48, 81], [4, 39], [31, 78], [35, 78], [102, 134], [198, 239], [49, 90], [47, 90], [118, 150], [4, 42], [27, 71], [20, 69], [46, 94], [9, 41], [3, 39], [21, 61]]; loss = 0.014073 low_pass_filter = 0.300
+Epoch 0: | | 8709/? [1:31:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 8710; scene = ['8eb6bcd27627d07c', '7a07fad554c69e5c', '8230329a8e437458', '960823f0cd1d6d68', 'dd5ec950a01c42a0', '7ce258bba41c9244', '6f64345a52ccd198', '772b1eb7611c51e6', '6bf7d357e8f89ed3', '3689fe268c8f8400', 'a197313c851249e5', '9ae102209c569657', '2ebcdec1c308edbd', 'b681b468da4fbb88', '2ec64b69d4de1d90', '65443da844dd7f20']; context = [[109, 149], [67, 110], [70, 103], [1, 51], [38, 76], [103, 135], [8, 55], [30, 66], [8, 55], [28, 66], [99, 136], [30, 75], [5, 47], [9, 54], [12, 52], [16, 48]]; loss = 0.012970 low_pass_filter = 0.300
+Epoch 0: | | 8719/? [1:31:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 8720; scene = ['9d4bd1fa498fcb4b', '4b1409aed425c619', 'd58a26d24f2776b2', '581461d8b3991cc8', '56dc189334276835', '60c933163b1dd066', '4e22006021f75435', '6ba526a5287fd9bc', '0cde2ea2863d331a', '4c642d93d29351f3', 'e8128c97ff255dce', 'd783793c217886d9', '74b87f166618c461', 'e979ea71e93ba297', '861b079faae400f7', 'fb70fdf529b2bb80']; context = [[3, 35], [95, 141], [186, 222], [14, 46], [76, 119], [6, 47], [13, 48], [41, 90], [6, 53], [8, 44], [21, 66], [65, 102], [116, 153], [54, 97], [180, 220], [6, 50]]; loss = 0.012461 low_pass_filter = 0.300
+Epoch 0: | | 8729/? [1:31:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 8730; scene = ['d3911b0e0e63c014', '70f3d3972ff2522d', 'b3984ddcb809ac0a', 'b8fc953b24222a61', 'e81941e5c1fe55cb', 'b48b1adbf6c01e9f', 'f1eae9bf3eb4bbbf', 'fe2c764518e7a72a', 'd9dd6e0b1550b1ee', 'eefdafedf732e5b0', 'dcfd07d4a022b226', '8fba4dda8330a838', 'c74969cf2d6052dc', 'b7d857ac614f9c3c', 'cd9f053b1d36a673', '8260ec1725da9848']; context = [[11, 44], [34, 67], [196, 228], [61, 93], [22, 67], [33, 73], [1, 35], [170, 216], [32, 81], [56, 95], [61, 108], [65, 111], [17, 60], [25, 65], [3, 48], [99, 136]]; loss = 0.016687 low_pass_filter = 0.300
+Epoch 0: | | 8739/? [1:31:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 8740; scene = ['217a0236c3cb7149', 'eba8aa1b1ae6c231', 'e5a6599cc927603c', 'e2020076617f4247', '314409cd008aa91c', '0ad2c2fd63c778e9', 'e68b41f0c16dc595', 'c182f3c5be2c45bf', '0f1c0b32d36804e5', '8b657567165233f3', '14346a0c7339391e', '77634e8803b63acf', 'ca2de62918f11871', '661a856ce9c10e56', '5714c004758116a1', '19205c6351b6cd4a']; context = [[2, 35], [38, 86], [6, 47], [236, 273], [33, 71], [73, 120], [39, 74], [40, 73], [14, 61], [22, 69], [102, 145], [30, 80], [103, 151], [13, 55], [24, 62], [113, 154]]; loss = 0.013654 low_pass_filter = 0.300
+Epoch 0: | | 8749/? [1:31:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 8750; scene = ['ddbf9157c2957f89', '4bdbe28a6c0f1ff1', '1d06fb8d14453f6c', '105299e8b66c0f46', '2b787547ea496776', 'e57a57f50e6a5438', '45ebdd9175b3ce86', 'a48622051ee5dad1', 'dfe3cbe9ca43aea3', '654a4ef182f4e8ae', '2c38ebf17747a14e', 'c21a51e62f022171', 'c9ba8f17c6191867', '9a65de132ab2fff1', '7d7bf8fc97c29961', 'fc6f8e4478f96b29']; context = [[73, 110], [1, 34], [5, 50], [6, 55], [6, 39], [28, 73], [13, 48], [44, 92], [82, 123], [64, 111], [9, 42], [29, 74], [146, 186], [19, 51], [120, 155], [18, 52]]; loss = 0.017259 low_pass_filter = 0.300
+Epoch 0: | | 8759/? [1:32:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 8760; scene = ['d09f5d2b1f451462', 'e03a25513087654c', '1db7a6b88607e8f0', '4aa0dd9947d8d66b', '14754a432917628c', 'db2964c9fbc55f4a', '52a7f2d6ea4c5f52', '83afa72ac0ed59fc', '911a98c370e92550', '198ac2a78d76aa94', '45112304ee4c0c76', '1bff8030b749eede', '03686e0744810c79', '5c1c7541c0ec377a', 'ab27c3f931ba3513', '9dbbebf435a6c9fe']; context = [[214, 257], [1, 35], [2, 52], [3, 35], [17, 52], [120, 159], [19, 65], [176, 223], [2, 39], [4, 52], [10, 60], [52, 90], [3, 35], [28, 70], [53, 89], [67, 105]]; loss = 0.013422 low_pass_filter = 0.300
+Epoch 0: | | 8769/? [1:32:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 8770; scene = ['37ed65d352a2ed4f', 'e4681a7db4f5c11e', '90bcc3b4b3d551a8', '7b75987a8ab680f7', '8f2e87ec71302d8f', '35080b22e13003fe', 'e6376b103a6c3986', '7140df849d71900a', '0aa115d6cc433eec', '49556a452285c7f2', '4f8e3874b212dd9b', '63b7d7cd83e98897', '5b5e821ccc9f6b3f', 'b57ed1fd4e13a61d', '1c6199d31018d9f4', '52686964de0ddc8d']; context = [[222, 255], [39, 85], [23, 56], [92, 140], [187, 233], [22, 56], [143, 178], [12, 58], [51, 90], [117, 164], [15, 50], [28, 73], [1, 46], [5, 37], [27, 70], [85, 126]]; loss = 0.014362 low_pass_filter = 0.300
+Epoch 0: | | 8779/? [1:32:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 8780; scene = ['526e15b861dbde42', '127791699e574123', 'ef05aaf749b3d6bb', '1e909e45b5870bf8', 'f241dc13122c01e7', '2bfc72fe23f7d128', '1a0050fd2d7fe277', '6ecdc9f243da2daf', '31c7ad771325622a', '684d1bf6c5e9a5f5', '8dd464d6d2de71b7', '784f897d89b29a09', '503bc4331ed08b04', 'd76c368081ee8682', 'e24c92984ba44023', 'bb5821113e1e7c98']; context = [[44, 78], [4, 51], [39, 77], [162, 205], [0, 48], [2, 41], [201, 236], [38, 75], [7, 52], [54, 99], [28, 76], [43, 75], [136, 185], [5, 41], [39, 83], [75, 116]]; loss = 0.014259 low_pass_filter = 0.300
+Epoch 0: | | 8789/? [1:32:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 8790; scene = ['0185f9296008aebb', '481bc28cf74dc03a', '7fec6b8b738c23ee', '3b5a4918d9346cf5', '7629b9492036f956', '0207fbc747fb6e11', 'c13693eff6eb0796', 'c217a3657288de87', 'd850754e786fd50a', '9ed19d5506da8047', '3e35d64c3de4d110', 'abe83e83dbf64e42', 'ea31003893552c45', '2a74eea6e2f729e6', '3486d59a92f026ac', '72c3d43fd80eb9fa']; context = [[12, 46], [80, 112], [128, 160], [30, 65], [14, 46], [18, 57], [8, 48], [0, 33], [46, 91], [21, 61], [96, 138], [30, 80], [73, 109], [186, 221], [0, 34], [35, 73]]; loss = 0.017436 low_pass_filter = 0.300
+Epoch 0: | | 8799/? [1:32:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 8800; scene = ['c87c40da1e4a9ae6', 'a53c93ca22ccad14', '08573a54ffbed332', '1115254066cc1476', 'efc61426e83c812c', 'f1789e98aa1ed5c8', 'a2611d3a2917309c', '14b4a87eca54c72a', 'fda3d2a0b1634f99', 'a65ef54b0f6cec2f', 'fe09fbcc7217f075', '2c61c4c2a252057e', '6caaca2888bf21b0', '1b89b77599ce54a9', 'c6ffd5261f0f75b8', 'ac479806829623aa']; context = [[226, 276], [68, 112], [69, 119], [89, 124], [74, 110], [46, 85], [66, 105], [198, 230], [5, 51], [15, 50], [4, 38], [27, 66], [19, 64], [139, 184], [27, 61], [62, 103]]; loss = 0.012773 low_pass_filter = 0.300
+Epoch 0: | | 8809/? [1:32:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.00train step 8810; scene = ['855601fdef75bb42', '2eda4095e61dabeb', '6801c1bf5cbed2c2', 'c47c2dc65efa8de8', '531ecbac17b31733', 'c87c8f9c8b42399d', '4fe1b7dd68a6542b', '23137b92a3535ce1', 'b3c6abce1788432f', '237c94c0538549a6', 'cfff66f23f588e47', 'ec921f15f6d56701', '161da535e54d4c7e', 'a29e4db4734cac27', 'e4c7f0a3850195cd', 'a1194953642b874f']; context = [[12, 58], [6, 45], [24, 58], [145, 184], [120, 153], [52, 101], [48, 95], [25, 75], [54, 99], [11, 53], [111, 147], [54, 89], [5, 47], [3, 35], [12, 56], [18, 66]]; loss = 0.016039 low_pass_filter = 0.300
+Epoch 0: | | 8819/? [1:32:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.00train step 8820; scene = ['6d6b7b3c93fa9c9d', '1bb1fe2fa08d515a', 'e94af5db515ce62a', 'd57c1c121c1968be', '78d68d455065384d', '32d66e2314a8959b', '955cea87624e9876', 'cf01fdadb2968466', '99c263031c11e520', 'f1cad8fe853b050b', '4194fe1d6d7989a8', '03652b2d1542b406', '3e4ff48aeb70671f', '655ac4945093a03d', '7a129e8f38d9d407', 'e1a688184a7f5487']; context = [[144, 183], [0, 34], [35, 74], [6, 39], [104, 145], [81, 128], [76, 119], [31, 65], [125, 173], [0, 32], [38, 87], [161, 209], [43, 83], [5, 45], [49, 97], [148, 194]]; loss = 0.013504 low_pass_filter = 0.300
+Epoch 0: | | 8829/? [1:32:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 8830; scene = ['a983e4858e5022e2', 'c589be27060ee4a9', '0b4af1af6191e8c7', 'c634b4875dcf3f5a', '5bb9e306c47d8970', '7d38125600bbb7dd', 'bb77afae1b2a488b', 'bc1160f12c4596f8', '79b877514f557da0', 'd60bfb72c8a19080', 'd28f0df8d3a2e084', '2b90546504296c7c', 'd02922cdeb6b38f0', '78460253e23b6599', 'da739b0c044b32c0', 'fae0d1a2e3c6925f']; context = [[0, 34], [30, 78], [14, 50], [190, 232], [109, 147], [17, 65], [62, 107], [2, 47], [44, 93], [27, 65], [1, 39], [63, 109], [5, 41], [28, 72], [44, 77], [25, 59]]; loss = 0.015210 low_pass_filter = 0.300
+Epoch 0: | | 8839/? [1:32:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.00train step 8840; scene = ['4312d4f72401aa43', '70ed02e1d7906cfd', 'cd83136b559517cf', 'cf4a0213f57bed85', 'ab7f018f21bef342', 'e7dfd4fc097e0d5a', '642cf78c4fa0ef61', '2cd702dc4fdef4a4', '755f4a06377d1633', 'ef87d9f4cb9ebe3e', '9b5189959925671c', 'ec22f0604d874d22', 'd9aeba3f7cbb8b9b', '8c9c9fd339183118', '9113735b147c81dd', '266dadce3be1bb39']; context = [[3, 36], [0, 33], [2, 52], [41, 74], [1, 49], [4, 39], [37, 77], [6, 53], [37, 75], [53, 87], [96, 142], [15, 54], [15, 47], [11, 59], [6, 48], [18, 60]]; loss = 0.019080 low_pass_filter = 0.300
+Epoch 0: | | 8849/? [1:32:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.00train step 8850; scene = ['69e7cba7beb30840', '250f426a7b3e59ec', 'a7c9f36bdfc44159', '3ba1586d95247579', '0dde89e3415640c1', '62c11fcd89d1eb0b', '861260140edeed05', '6d17b1aeb2612d9b', '52e7a82baea6b86b', 'ee55fb32aa9d27bd', '759cd5f32a40b5f6', '4272c750989935b9', 'ec166c975da009fa', 'a27495eefbaba454', 'c0dd8bc7bbbe97f5', '683e17e57364aa37']; context = [[20, 68], [11, 49], [2, 39], [41, 76], [17, 52], [39, 83], [51, 88], [132, 182], [14, 57], [26, 61], [28, 69], [134, 182], [7, 55], [13, 61], [13, 51], [46, 92]]; loss = 0.015370 low_pass_filter = 0.300
+Epoch 0: | | 8859/? [1:33:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.00train step 8860; scene = ['103119c8e78252e0', 'df29eae05ee5e69f', '3f6666062c86b73a', 'b54617c7d3c0c3fb', 'f3dd12e8d9dd4c20', '2052628bdc7ae7cb', '270c1019e4348197', 'c0a2a9fe9e12ea72', '28e1889569b206aa', 'dfd7ac5b3120d4d4', '909da0bab82b1291', '76da738b80b894c6', '7b2378ebd9c53c89', '9d4bb3c6783e57a8', 'dd8f995702591ba7', '0935b1ed5367813c']; context = [[80, 114], [13, 51], [25, 59], [30, 75], [45, 80], [80, 128], [94, 144], [43, 93], [12, 54], [171, 216], [2, 40], [180, 212], [93, 129], [71, 105], [29, 69], [51, 99]]; loss = 0.013221 low_pass_filter = 0.300
+Epoch 0: | | 8869/? [1:33:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 8870; scene = ['a3881eb3102f8e4c', '8853c3fc40c69e24', '3b0f30c03d38305c', 'fe88b975469701fb', 'a2ad60f6809b316a', '2a5e3ab469ccb5c3', '80e84c3133ac54d0', '96f6f619c597029d', 'c275da1b07699d82', 'b14f549ac1e3b89c', '531e56a1ae5c1045', 'dbb2260383173238', '0fa0f0288005bdaf', '9615018224be2f57', '32fd7014584ba613', 'e2956635b131c774']; context = [[71, 104], [14, 53], [6, 41], [20, 58], [1, 38], [80, 129], [8, 50], [24, 59], [56, 101], [21, 58], [54, 91], [49, 81], [61, 100], [139, 172], [2, 44], [22, 61]]; loss = 0.012494 low_pass_filter = 0.300
+Epoch 0: | | 8879/? [1:33:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.00train step 8880; scene = ['7aaade6304f4d492', 'a961e9131e2b8c6d', '36f19d3edadc5a48', '2685fd8ba32dfba2', '36a2bf6ffbf3f02c', 'b3eef8ecc24c5d4a', '1b3e33a1b1c8d2b0', '61b511610991a0fa', 'b15b14f1ba6553df', '967d0d422fed326f', '1e8a9f8690b19a68', '1e4f512b8bd2b62e', 'e12052e072f87208', '810cdfdb9c8ffa02', 'd0b3444e1b040d9b', '93c37a52bd208be8']; context = [[14, 54], [43, 87], [183, 226], [16, 49], [29, 71], [82, 126], [41, 75], [127, 175], [3, 40], [65, 114], [118, 151], [23, 61], [0, 38], [71, 113], [30, 80], [98, 134]]; loss = 0.012887 low_pass_filter = 0.300
+Epoch 0: | | 8889/? [1:33:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 8890; scene = ['c0ab759d761f2868', '7f6642220b54f702', '3fcac0f29c94b5e6', '524fe76ae272d2ef', '5851772147fe79f3', '6b076ff0fa76674a', '1dddf8460c0c49cb', '532b4823217b37f4', '5635caabe31c654f', '72655eb92e7a819e', '4828d3b7ef441838', 'ece06aa8ec578fc5', '8379b59afe807099', 'ecf44fdec12c9ddc', '3f1f6c65bc38ba4b', '39c680d0e2deb371']; context = [[29, 63], [60, 100], [34, 68], [37, 70], [15, 55], [35, 75], [135, 169], [136, 176], [220, 262], [41, 73], [102, 140], [34, 76], [66, 112], [24, 58], [1, 45], [15, 49]]; loss = 0.012335 low_pass_filter = 0.300
+Epoch 0: | | 8899/? [1:33:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.00train step 8900; scene = ['03a4407bbd5b51f7', 'c63e247d0ac61664', 'a90d97dc07e81061', '9d2c791eeefbd8fa', '71b26cd4329cea43', '159f2b7bc9d7b2a9', '296a1d43f81ed419', 'a4bfa77c21db17c9', 'f9553326a5f4ace0', '4e5afa316a92c376', '90beebecb71a88d9', '677a227d2b46baca', '3f66eee8a5092748', '262d3106e9b8fa2a', '3c5f888f488cf6ba', '6545dab9a4699ef0']; context = [[114, 159], [3, 50], [0, 42], [6, 50], [32, 64], [7, 44], [1, 47], [5, 39], [148, 184], [3, 50], [17, 57], [37, 78], [35, 85], [34, 70], [10, 55], [30, 70]]; loss = 0.012922 low_pass_filter = 0.300
+Epoch 0: | | 8909/? [1:33:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 8910; scene = ['f057f5ce14b54044', '2b8c9d0c8013e677', '8133e02814227215', 'e6b15b1187728499', '2b141c0433cc5039', 'f1e07881ded298f1', '9899ad035dd9c665', '537f0b57f895b038', '123a3de028d195f2', '5d8c9450d32f7b02', '0334648106e83ec1', 'cae3b538e278db71', '3b4b06583ef8afc2', '881ecf84092af313', '7e1983cedab832bf', '1422cf3f2e02e72d']; context = [[72, 110], [46, 82], [9, 58], [19, 68], [5, 49], [50, 85], [145, 179], [10, 53], [25, 69], [5, 42], [19, 58], [4, 38], [58, 106], [8, 46], [47, 81], [121, 168]]; loss = 0.012226 low_pass_filter = 0.300
+Epoch 0: | | 8919/? [1:33:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 8920; scene = ['dae9a6c7acbc98a2', 'beebb9a181072d4f', '1b9730ff134371bb', '1940381c5458b023', '4fd7699c830f02c0', '7ddb25e113dc581d', '4a1b8ea361ee8d3f', 'ec462ba8773011b1', '1e1f780043733884', 'e793acd1873474a7', '0a8521e239f9f2bb', 'db13d04c59ef7eb2', '461ebf513d50cf91', '2b2764a215bc1d1e', '4617f1488be52dcf', 'b55a90cf5c4ec615']; context = [[2, 35], [8, 47], [0, 41], [0, 40], [45, 88], [54, 90], [19, 61], [11, 55], [60, 95], [108, 140], [60, 101], [40, 80], [110, 149], [16, 58], [40, 74], [11, 59]]; loss = 0.014745 low_pass_filter = 0.300
+Epoch 0: | | 8929/? [1:33:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 8930; scene = ['e5a7ce05673b8b9c', '58fce1e41184ed57', 'a3ff55d5f285f389', 'ea8950e361b01088', 'd772de89883ef084', '34b4e9d5a6f08154', 'eac4f4a370df3732', '133bb30aae9aff02', '1c9fe57aaaf0226b', 'accb1432540b4ca9', 'cfbb220575fb9b02', '10fda5483645a9da', '66d22a164eb73a9b', '14056595020e5128', '9331e00704e39648', '2cfc46890614d1ef']; context = [[113, 148], [12, 51], [26, 71], [92, 124], [111, 160], [7, 54], [161, 203], [5, 44], [24, 71], [4, 39], [61, 101], [46, 91], [68, 118], [1, 40], [63, 102], [148, 198]]; loss = 0.012345 low_pass_filter = 0.300
+Epoch 0: | | 8939/? [1:33:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 8940; scene = ['f33fa8d34f6094e2', 'aeb1e434b029fb6a', '207b0ed5eb5b0abf', '473dd9f0b38402b2', 'a474640fa724d913', '73e2c81ff459bc89', '1f7d2289dd8cb483', '972b76d7f648aafb', '56ce2c6212dfcee4', 'dd3f9caf72c2f70c', '367f348575198f6a', 'e9823b7ffd8d1d62', 'b90f6959bc7f96e2', '86456b2758a4e51f', 'e7cec32dfaa7ef3a', '4e38ef3e1efe5189']; context = [[116, 152], [179, 220], [216, 254], [82, 124], [47, 81], [7, 40], [3, 53], [138, 172], [109, 152], [33, 82], [21, 65], [194, 230], [146, 183], [95, 140], [34, 84], [5, 38]]; loss = 0.015220 low_pass_filter = 0.300
+Epoch 0: | | 8949/? [1:34:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 8950; scene = ['2d7a65f89d933d6e', '231b81fe05d87e31', 'e100c11918671a33', 'd412ad2f6f4b6e07', 'c7afa69038025a01', 'cafb5c4d141984d0', 'dd086087400ad408', '56a3cab917fb2f23', '5b64b5760c7503f3', 'e54719c9dbecbac1', '58275614cf462346', '4891a508d7a3262f', '5a0e09f6e6d340cf', '0bba94b8d4c22eac', '42b16ca6b3d0963d', 'adb6466984682058']; context = [[0, 40], [25, 73], [30, 77], [47, 80], [26, 60], [109, 159], [0, 47], [180, 226], [10, 60], [14, 54], [89, 131], [62, 107], [0, 33], [2, 42], [240, 276], [26, 60]]; loss = 0.015333 low_pass_filter = 0.300
+Epoch 0: | | 8959/? [1:34:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 8960; scene = ['7fcf55ab7cf89f1c', 'f7926eb1096de201', 'f6db5e624a9711cd', '61817f6504d1a6c3', '3b36165785da926a', 'f656b9d676afee7c', 'cd6fdd63dcab9099', '662f42f773e37e26', 'e7e10c457efb38ed', 'd10eef0641b38981', '37c36f444d6ac350', 'e41ab9017ab47823', '82d26f74f86c38e2', '48affbd55a6a99d0', '826340ab765319e3', 'c8fb4f76ee763d18']; context = [[233, 269], [1, 48], [18, 55], [202, 238], [73, 114], [106, 150], [14, 60], [66, 100], [15, 48], [14, 64], [135, 180], [54, 92], [92, 134], [6, 45], [11, 50], [103, 146]]; loss = 0.013707 low_pass_filter = 0.300
+Epoch 0: | | 8969/? [1:34:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 8970; scene = ['286dfd7bb4272913', 'fda5ce5fd5439f14', '4dad6319d4caba1b', '22ac9959a46f52f6', '0a867cc860e401c1', '9c2edc6892073f83', '6cb287ff59076f0e', '4200ec0bb3b50364', 'd874aec615f58550', 'aa769adbc034842c', '34f935be25b975da', '0d6a6817255d88e1', '043c77a7ea5e7fda', '9f88066fc1ec3761', '6b452438d08f670a', 'dc59328237835eb0']; context = [[13, 51], [79, 112], [9, 58], [2, 40], [5, 41], [31, 67], [20, 69], [7, 41], [126, 175], [17, 62], [158, 207], [75, 113], [160, 194], [33, 81], [73, 113], [76, 109]]; loss = 0.014801 low_pass_filter = 0.300
+Epoch 0: | | 8979/? [1:34:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 8980; scene = ['0ec74c80b0542c7d', '948978fda6851a90', 'd1f583b4b527fefe', '2ff3160e102fbd93', '242ee2c8b1208167', 'effd59a5eb4d2cd1', '19479ef94164d89d', '6570d802b2f69e4b', '409b268729c0a86d', '11b74ef19465ab45', '764206404e317c51', '61c9b6540aaa5884', 'bf7d85286d95a16d', '82d896f5142ee6dd', '1c7d5cf7a1e08139', '153a1b86a21c98f7']; context = [[3, 45], [23, 68], [67, 102], [69, 115], [36, 79], [107, 154], [14, 46], [4, 47], [25, 67], [11, 61], [38, 72], [36, 85], [7, 54], [49, 85], [0, 33], [125, 157]]; loss = 0.014950 low_pass_filter = 0.300
+Epoch 0: | | 8989/? [1:34:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 8990; scene = ['114722dab6907d8f', 'bbc96e7eeccafa65', '926c375e9e97645f', 'f2017756888413f5', '536722ef3e6c42c0', '1c4574a370bbaa00', '14c89d90e8cd6c5a', '2bb321b9192dab92', '5102042496230ec1', '0e869c9c126906db', '8d1a20d3c25fd34a', 'c17be2c1facd23a8', '02bce6fe4244faaf', '9724d02dd7954ece', 'd3711afbbda1b025', 'd325bd35d81548c3']; context = [[95, 131], [65, 110], [15, 49], [13, 46], [2, 52], [0, 47], [10, 57], [6, 49], [91, 129], [55, 99], [26, 73], [13, 49], [8, 55], [42, 92], [14, 54], [88, 135]]; loss = 0.010961 low_pass_filter = 0.300
+Epoch 0: | | 8999/? [1:34:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 9000; scene = ['aecfc6c8ebc6c15e', 'b2c65f94460ad653', 'efedd66257d1adf0', '8f243590d88e28db', 'b1d60da6d903d72b', '67fea88caebb1c14', '702e3924eb797e62', '1dcb240325fa36e7', '197ff5c7287f0d9b', '045404bb5789b725', '8a44e9b2b9fa4231', '51c54c9b7f7598c4', '17d52a5b96e9c278', '3f0671b3aab75af7', 'b81984c3db6d299c', '8f6e5309cae27ee8']; context = [[2, 51], [54, 94], [57, 102], [30, 75], [2, 37], [122, 165], [165, 203], [123, 155], [26, 60], [23, 65], [6, 53], [38, 78], [57, 93], [91, 124], [42, 78], [91, 134]]; loss = 0.014763 low_pass_filter = 0.300
+Epoch 0: | | 9000/? [1:34:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00validation step 9000; scene = ['be75142d4652fe3e']; context = [[15, 58]]
+Epoch 0: | | 9009/? [1:34:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 9010; scene = ['9b9632b6f2b09ee1', 'bd5fba9dfcd7d4d4', '36458447af2288ea', '2166e2ac42256f45', '8de3f05e796ac83d', 'eecafa48f9ff1cf1', '77558b2d2c2b4265', 'a9b8ea620c424806', '8a9265192855dab3', '503b38260b67aedd', '2a81813407218a73', '118d5bfde22d2acd', 'a4bd594d7122db75', 'b9ec793fd05c5588', '6dc19f0e724b94bf', '1410e5d25dca3a8b']; context = [[13, 58], [59, 102], [73, 118], [34, 67], [132, 168], [11, 58], [26, 66], [8, 51], [162, 207], [65, 97], [166, 202], [3, 46], [20, 69], [37, 80], [20, 57], [16, 66]]; loss = 0.015708 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 9019/? [1:34:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 9020; scene = ['f4289cfabb77058b', '88bf46314a638234', 'd3e5f552d83a1330', '42ff234486b7be0e', 'd8003945f6e4e9f9', '92f8c501d9501097', 'e6a4719fd1a80cd1', '1e70d59cdc2296d9', 'e38274129f29ce92', 'a5a9ea8d2ec80fa5', '36cb3e8fff79b724', 'ec938727ca124155', '487dec4b7b2ebd90', '2290303343a755db', '8ddca90ddef969af', '6b00d03a245eed96']; context = [[25, 57], [92, 127], [21, 54], [47, 81], [133, 172], [69, 111], [5, 38], [34, 72], [30, 76], [52, 84], [17, 66], [38, 86], [107, 149], [30, 76], [36, 85], [2, 49]]; loss = 0.015263 low_pass_filter = 0.300
+Epoch 0: | | 9029/? [1:34:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 9030; scene = ['11034893f72fe474', '3ff13c65e13f2cf8', 'a011f195d0ea817f', 'd6fac69b6a6bd958', 'faa760d7d2c034ec', '313c2ce83a17b22d', 'f84079faa436c691', 'be52d7017ff4e5e7', 'eb11462985fca758', '8da6063bebe48d28', '20d8f725ca43a225', '512f1df8266be984', '33ffb0b94cec7ce7', '2ae0999e0eca3d33', '1f214117250f089a', '30400d1809189f16']; context = [[93, 134], [130, 174], [37, 75], [3, 51], [48, 82], [20, 57], [121, 158], [27, 64], [126, 159], [0, 40], [11, 46], [35, 69], [40, 78], [83, 115], [124, 161], [34, 81]]; loss = 0.014569 low_pass_filter = 0.300
+Epoch 0: | | 9039/? [1:34:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 9040; scene = ['79590833b9df5558', '7b95b1f65f0d8687', '8a0a93588ccdfbd3', 'fb7276f92ad63407', '4f3e8718190c20dc', 'd3711836cd0fac50', 'd9d8890660debcb6', '8e9d9dc15b1707b0', '658a1b41b954b052', '60f8dae5645cd128', 'edd6edfb48780892', '85d1ef80ae3409dc', '3706add84fc44372', '0f714589074ad057', '770814423651553f', 'f9540970fc8a58cd']; context = [[26, 65], [8, 51], [52, 96], [125, 170], [33, 66], [50, 97], [4, 41], [19, 63], [5, 53], [76, 119], [146, 187], [11, 54], [14, 52], [42, 78], [16, 59], [94, 142]]; loss = 0.013286 low_pass_filter = 0.300
+Epoch 0: | | 9049/? [1:35:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.00train step 9050; scene = ['1068a8f9fede3649', 'f8d2d50b9f02c901', '70ec69837c425813', '36e18205253594ab', '3fea307343c1dbe2', '013264a550df794f', 'daf32202c1390798', '6f86d9708cbe8c02', '8f517b2b52ba2bc9', '200cc739013a1da9', '78cdac6e6b49a39e', 'd38ded2afc216695', 'a9739ec3a34012af', 'c6c9b668948dad8a', '7452907ecdaa8596', '2d366ded90859075']; context = [[169, 212], [95, 129], [37, 85], [79, 127], [148, 190], [24, 70], [115, 166], [30, 67], [12, 46], [183, 230], [64, 106], [22, 65], [0, 41], [19, 67], [41, 86], [144, 180]]; loss = 0.016901 low_pass_filter = 0.300
+Epoch 0: | | 9059/? [1:35:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 9060; scene = ['beb770324d0f9760', '2e65e53594c6774f', '2b03b18b7d2d3a98', 'adc9957afc8f74e9', 'f2733e8cc2306488', '4e45c9526d78ef72', 'aace48697cb07a11', 'ca9420dde69b34a7', '3899355b8688201d', 'd24480339d5479dc', '520f68fca3586c53', 'dbadd53cca18e850', '9bf807b8dde65f1f', '57dad644a0b00bf9', 'a5d4bd8f3adfbce9', '90715d6d5103b915']; context = [[1, 50], [62, 101], [8, 51], [4, 51], [30, 80], [37, 73], [18, 53], [0, 33], [1, 41], [1, 40], [14, 53], [9, 58], [14, 59], [20, 58], [24, 65], [3, 53]]; loss = 0.012563 low_pass_filter = 0.300
+Epoch 0: | | 9069/? [1:35:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 9070; scene = ['46bb43d7e66f9559', '970270fa27de8018', '1401a2ebe30f8654', '3f80d145e396a258', '7a01f2fd6c6a119a', 'ee3298a5cd65a31e', '7ad3231c24e827b9', '1ed35ac17e62e112', '0845841350913fc1', '8ea7ceeafb6748e5', '82c480b92e7f291d', '7674a792dc7d4813', '9805373c2288a1dd', '4a20c466e50b402b', 'ba2a2ce5a110fb53', 'd1ac9667409f147d']; context = [[77, 117], [18, 53], [4, 53], [54, 99], [36, 82], [9, 55], [9, 54], [32, 70], [39, 87], [127, 168], [14, 57], [3, 45], [14, 63], [25, 65], [15, 62], [7, 53]]; loss = 0.015515 low_pass_filter = 0.300
+Epoch 0: | | 9079/? [1:35:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 9080; scene = ['133d554395e41eaa', '5c6f91cf582708ed', 'b33a29e1340cb581', '9531cb66276b6a53', 'c1853d5840938ce4', 'e513de8cae71180e', '913fb4d757212f2d', 'ca2fe8b44e617133', '1287386498681744', 'f7e30aedb1da3cb0', 'e2dcc1004ef5eb8c', 'e5dca5e8131acc0d', 'd38ded2afc216695', '013264a550df794f', 'a9739ec3a34012af', '3fea307343c1dbe2']; context = [[5, 50], [32, 72], [50, 87], [11, 62], [27, 74], [28, 64], [191, 227], [46, 82], [170, 207], [9, 48], [48, 96], [106, 148], [22, 61], [17, 50], [12, 45], [107, 151]]; loss = 0.016485 low_pass_filter = 0.300
+Epoch 0: | | 9089/? [1:35:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.00train step 9090; scene = ['52a7652d2757e859', '4ced7874f26d5e88', 'e4ac3b8d4c3d8d54', 'fad79cc16cddf6e7', '8bfae852fd12cff1', '11993d8f73ec9033', 'f559369c0d37bc44', 'eb51705e717bf332', '5e91468edcbd6a88', 'f7ecc46b74e0589e', 'd01f2d23a398ab9e', 'c2cd8e47380cba65', '4fe9b3f925a995bd', '6d4d98de946cf7ce', '4cdef6cc63fd9ff0', 'b5b81427691ebd8a']; context = [[13, 53], [0, 46], [17, 55], [39, 75], [95, 129], [43, 85], [119, 169], [1, 36], [10, 57], [58, 106], [29, 76], [69, 114], [27, 60], [37, 76], [51, 98], [15, 48]]; loss = 0.016001 low_pass_filter = 0.300
+Epoch 0: | | 9099/? [1:35:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 9100; scene = ['1bc88fc26a0693d9', '4e8f9334e2eef69a', 'e1fd9e5d95847128', '8d477bf98d12daf9', 'd024b15865a113f0', '7fd96332695379c4', '1e7dd85214355c28', '65d23bc2670a9541', '998b0da0bf77d594', '7c3476a62ce00a5e', '96cc4eac057b8f1d', '8f20f72494bf5bdd', '110eff3e7cfad06e', '01042371ee0b76ac', 'f0b964cc96ba3d3e', '28c433a75667a138']; context = [[41, 84], [52, 95], [2, 47], [39, 78], [0, 33], [119, 152], [13, 62], [36, 70], [18, 58], [53, 98], [32, 80], [19, 53], [107, 147], [31, 72], [52, 102], [31, 66]]; loss = 0.014964 low_pass_filter = 0.300
+Epoch 0: | | 9109/? [1:35:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.00train step 9110; scene = ['7534cb5edec5f0a5', '2fc24e6aa1333070', '8de198f98b9e304d', 'b81f8affbd4806c4', 'a47515dac8f66d3e', 'f22fc2b3c9f19013', 'b2890a9df7df5d67', '40ce3c51bcf5939e', 'b175f82961daad12', 'e64efca5f4c656f1', '821c639455378f86', '18d2d38e04e4510a', 'ccc8e1d1f59a540f', '58e001030d942c55', 'de283b48b16f00f1', 'b62e9605955c06af']; context = [[35, 83], [51, 92], [17, 68], [50, 88], [72, 119], [2, 51], [28, 73], [42, 92], [10, 57], [174, 212], [31, 64], [74, 121], [33, 84], [68, 105], [0, 41], [129, 165]]; loss = 0.019237 low_pass_filter = 0.300
+Epoch 0: | | 9119/? [1:35:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 9120; scene = ['ef73fc2ed593798a', 'f9cfbd6bb844eaa4', 'b89c23fa87a9a65d', '0744c33d52be47ea', '3061dd6569af7ef4', '486ebc90daa9ee9e', '0b7273e1a4c224b4', 'f5e021c4eef4bc4b', 'bb7ae189307d5525', '8b9a478b43b2511e', '7bab0bcc534f43ea', '91da45df1653bb98', '195ba90f0d1856cf', '6a1473a5a71f623b', '91fe15a6344258aa', '56bd808660cbaefa']; context = [[21, 62], [27, 69], [8, 52], [59, 94], [14, 50], [0, 43], [97, 147], [64, 100], [36, 75], [23, 66], [29, 76], [5, 38], [13, 54], [2, 52], [76, 127], [173, 224]]; loss = 0.014332 low_pass_filter = 0.300
+Epoch 0: | | 9129/? [1:35:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 9130; scene = ['905511ad5e23a6e5', '24d0c50b0d08445f', 'e865d846466cb59d', '5c94f503e4e84163', '69021acc70411fbf', 'bf5769b070b5af9f', 'f9439e8dc272843e', '49ae06a8c3eecdb6', 'e4532151b691dd37', '4280ea1ea85c43ff', 'c173b9087fb4126a', '3f439ee888325de4', '714c3dc97fac769a', '97efb1c9d012a89a', '45fff92461a9cae0', '10c8704bb6745b6e']; context = [[0, 37], [10, 60], [54, 92], [19, 59], [50, 97], [10, 47], [18, 60], [41, 74], [17, 56], [0, 43], [64, 100], [58, 93], [40, 77], [108, 150], [10, 54], [126, 163]]; loss = 0.015362 low_pass_filter = 0.300
+Epoch 0: | | 9139/? [1:36:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 9140; scene = ['15c143c646be62b8', '95a3e58d4935e819', '3a9fcbd2d098d980', '498924a26eea2512', '18877ce74b5084b7', '6e9f0df7451bc842', 'ee47d21c4fe6fe7b', '1d76c3d341a60952', '050adb5ab07ff381', 'a27e4ed0659b4710', 'f83523465592a970', 'd67b9d78d72e8afb', 'e9f4b008fc5b70c3', '79fc8c8327fdd797', '7c28754cd17d1002', '76e8408579a8def3']; context = [[92, 125], [28, 61], [99, 146], [10, 47], [56, 106], [13, 62], [131, 166], [106, 151], [10, 59], [11, 55], [79, 114], [46, 86], [2, 36], [16, 59], [39, 76], [54, 100]]; loss = 0.015141 low_pass_filter = 0.300
+Epoch 0: | | 9149/? [1:36:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 9150; scene = ['036be3c12f22246e', 'b654725bca73b272', '93abcab6a36d4ca0', '6620c00da77a91c0', '0484687d71f8b4bb', 'd58acde048d2e806', '7d39bdc5f5729c55', '402aeb73b74c0e4e', '8f392266afe09971', '241a2fe408acfd48', 'd006cafcf8174cb3', 'e76253cf5fda5ac8', '69d8221a5c505e93', '54dd72dab33e9306', '2fea2eddb904396a', '2a7384bdd4ba6392']; context = [[120, 167], [11, 53], [56, 104], [33, 78], [87, 120], [18, 66], [72, 123], [111, 151], [22, 71], [44, 78], [29, 65], [9, 48], [17, 65], [18, 64], [57, 92], [36, 77]]; loss = 0.013007 low_pass_filter = 0.300
+Epoch 0: | | 9159/? [1:36:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 9160; scene = ['d5dc285dfb49017c', 'd7adef0853c541b7', 'a976734f8647a289', '511ec608e4012db6', '48affbd55a6a99d0', '50119310fe544bc1', 'c8fb4f76ee763d18', '1e0d33d113426065', '311a8980ac58da1b', '45e462394d584b16', '14421a21370bd814', 'e223a883c0c16415', '777944df0eb2b682', '7885bd17267ecef4', '571cd60ca252b93e', '38667b143565e79a']; context = [[6, 43], [43, 77], [52, 88], [33, 83], [9, 58], [44, 78], [30, 79], [0, 34], [157, 198], [26, 75], [9, 45], [25, 73], [10, 55], [7, 44], [210, 251], [43, 84]]; loss = 0.015645 low_pass_filter = 0.300
+Epoch 0: | | 9169/? [1:36:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 9170; scene = ['ef4a031cc59eba0c', 'edaf19c032358e0d', 'd5da5339a1e2b2ed', '8dca16105b5a73a1', '9b6640a5fd61ba73', '6bea7eee33dcbaea', 'bb753c83df751766', 'dd0ebd35e7a477a9', '0dea6d4d1d31c4df', '89614f45fd850d4b', '285a5ff4cd043e2b', '7f641e956053cace', 'a034eaa2c3bab991', '53b33a6fe970d684', '52d066afbd70230c', 'f483eb112204d039']; context = [[38, 71], [33, 68], [9, 54], [12, 47], [37, 88], [6, 43], [26, 68], [203, 240], [0, 33], [16, 60], [172, 206], [21, 71], [4, 51], [13, 59], [7, 52], [83, 129]]; loss = 0.012493 low_pass_filter = 0.300
+Epoch 0: | | 9179/? [1:36:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 9180; scene = ['db0cf7e2f716f60e', 'c21970a30701dfd5', '700759139479b40f', 'd1543ce8abd3294c', '3389d95fe43c8e5e', 'd29ac5d4f2c01cd8', 'f1a81e9c8264e5a2', '209a86f54836420b', '10932c00957d5ec3', 'de61efbee4c2b1cd', '96ce3e617124a934', '9bf893735e9b1ab8', '2e0974f13b85cce8', '4e42a798152f2381', 'dcef68ac5961369c', 'c708707156f0d454']; context = [[142, 191], [180, 218], [171, 217], [0, 38], [19, 60], [159, 207], [70, 103], [51, 84], [0, 35], [115, 164], [122, 170], [8, 47], [112, 160], [66, 111], [10, 55], [97, 144]]; loss = 0.014415 low_pass_filter = 0.300
+Epoch 0: | | 9189/? [1:36:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 9190; scene = ['59e94a32e670efd7', 'ef2a0c327852b774', 'fa3080b291d02ee9', '83ebc32def5a3967', '00ed6136c07aea5f', '50d0d7cf5b19eeee', 'e2ba8a4cbe366a30', 'fc2ad2a73c24bb7f', 'bcfb47fdd49eac62', 'd602f5daed73334f', '80c93f2de4900d46', '46f261198c91d5d5', 'b489a5e69f2103d9', '0dd1d031a21641ab', '000d2139ad05dc85', '7d499b35c809b2f3']; context = [[14, 62], [54, 102], [117, 155], [35, 72], [10, 51], [61, 100], [23, 67], [24, 62], [41, 83], [44, 95], [18, 69], [20, 60], [18, 55], [42, 80], [10, 55], [41, 86]]; loss = 0.014383 low_pass_filter = 0.300
+Epoch 0: | | 9199/? [1:36:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 9200; scene = ['a5e23747e724db5e', 'a0251539c80a75fb', '23f165b1591dab8f', 'a7ef92a048fb31d8', '8ea8fa9e91f61af1', 'e2cfc841f85afb79', '0a5726f0d187b3a9', '7ffc77db9d057d87', 'a5e1730f71e1aab7', '5101439f1f9e1da7', '2400829229f41b99', '2b960773b240ad4a', '26ab4bd8802e0b3b', 'c7267bdc5d0926a4', 'ba696be52c8963ad', 'dc17a6a8584311bc']; context = [[63, 109], [65, 110], [121, 168], [38, 71], [9, 46], [109, 149], [12, 47], [3, 41], [0, 51], [11, 54], [51, 100], [116, 149], [68, 111], [1, 34], [144, 190], [75, 124]]; loss = 0.016299 low_pass_filter = 0.300
+Epoch 0: | | 9209/? [1:36:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 9210; scene = ['2be4893cdc6f6e3f', 'ba886712dec35139', 'c5d56903d7ae7f56', '7b914f996081f191', 'c061d3130154ac45', '7e0b1a41506a74b1', 'a4ca4b8b54598cfa', '86b09ea5b794986b', '4320e900cf5f7074', 'a54e82e91e5f96d6', '72bac7dc0c3a7f6d', '1c54df59fd1b67f4', '08891ca55eb55112', '77ace1e7ac8d2492', '75bd48450ea50266', 'fae7f132e19f6e6f']; context = [[50, 101], [0, 47], [205, 248], [62, 110], [41, 78], [3, 51], [9, 59], [14, 64], [74, 120], [15, 65], [203, 246], [41, 88], [58, 101], [12, 55], [71, 115], [31, 64]]; loss = 0.013900 low_pass_filter = 0.300
+Epoch 0: | | 9219/? [1:36:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 9220; scene = ['c409b76613c0fb46', 'd370b94038002163', 'a931fc7f77d571c8', 'c840e7ad87fcf5d6', 'a18f380bc7a49015', '5df0c00229d7e91d', '487e1751e169b2fe', '1f08a54b3d9787f9', '5de668949c40be0e', '598f5f9c57bceafb', 'ec570f8328cd4104', '7c43c1873e535409', '78062689dc99739a', 'a2b310636a3c8cd4', '29c266ed5d1dd889', '1260699ecb39ea13']; context = [[65, 116], [38, 84], [11, 55], [80, 117], [114, 153], [122, 161], [24, 66], [107, 142], [40, 81], [148, 187], [23, 72], [143, 194], [38, 83], [1, 50], [88, 131], [85, 130]]; loss = 0.016481 low_pass_filter = 0.300
+Epoch 0: | | 9229/? [1:36:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 9230; scene = ['97053f57bce108bc', 'f6cacfdf9c5c4ccd', '70ebcfb771660089', '4ec04c03350c62ec', '01451c8336b62856', '7b62b028e8f75575', '8d1cd85733dbe31e', '85d3decd6f25f5a9', 'e6970f769cab81f2', 'dde9f83e78d51e25', '202ab5c80b5334fe', 'b103d14945581f29', 'ace99e115a5acf07', '1bef9b273d9fe7e8', '429fbdb20eaed213', '180b50ea8753b359']; context = [[21, 60], [48, 85], [16, 62], [19, 62], [33, 70], [46, 96], [40, 74], [52, 93], [16, 60], [105, 145], [36, 73], [25, 68], [29, 65], [123, 157], [1, 34], [19, 58]]; loss = 0.013837 low_pass_filter = 0.300
+Epoch 0: | | 9239/? [1:37:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 9240; scene = ['b5cf48a5a4711770', '91e33a6f46dce12d', 'bf1622459e14900b', 'f2023325542bf4ba', '2635202ce1044380', '55dcd01b5de0264c', '0611f2d02bc065db', '2b562d23a3c7e4cf', 'f00a77b3b162ac4b', 'bedc784fb1794f8c', '78ca16a59dd41338', 'bea3977d3073b2d2', '9a94e71cea472790', '0304b78786c9cc4f', '56f957c4bc88fa94', 'a61c8d77fdac60ca']; context = [[5, 39], [12, 56], [4, 53], [21, 59], [30, 79], [25, 75], [47, 85], [13, 50], [1, 50], [78, 124], [107, 142], [128, 177], [21, 71], [98, 135], [24, 57], [29, 72]]; loss = 0.015367 low_pass_filter = 0.300
+Epoch 0: | | 9249/? [1:37:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 9250; scene = ['74100e9fd6373f84', 'cdb0d3a7b60a297d', '0d39f26bcf32c8a5', '24add6cb04d4d532', '4d72f2752f9a8439', '4ded834533bbead0', '626634d7c85c3909', '969c91a2507e2d81', 'f9ee4b8ed48bd9f3', '707aa7d6a603f64a', '4d654e6cd79fc099', '574de45f1295c3f6', 'aecc01b48165f467', '5045fe1323416a21', '84f164c21f8268a3', '6342eb0b6c569618']; context = [[120, 161], [0, 33], [50, 85], [0, 39], [75, 121], [98, 134], [4, 46], [64, 103], [10, 51], [4, 38], [134, 175], [16, 63], [68, 116], [0, 50], [161, 210], [23, 70]]; loss = 0.015907 low_pass_filter = 0.300
+Epoch 0: | | 9259/? [1:37:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 9260; scene = ['150a1bb34de1213f', '774e42ac2d635fd0', 'd85bf23db2a97502', '66b0697258859fc4', '0fe8246bb7e2fe40', '285ea3ebc64813a6', 'b5b675c6e453338e', '3b22bca6f62b1f3e', 'a8fd70a20f903de0', '9b8b7ae8b1327717', '7180ff013e6035c1', '100fdf7a7ea656e5', 'f64237ff041b948a', '765acee91f090ca0', '3ca07375c57023fd', '169aaaf51ef3849c']; context = [[19, 70], [3, 44], [92, 135], [1, 48], [5, 56], [146, 192], [190, 239], [10, 59], [213, 264], [18, 52], [15, 61], [32, 66], [20, 57], [23, 56], [8, 44], [8, 58]]; loss = 0.015236 low_pass_filter = 0.300
+Epoch 0: | | 9269/? [1:37:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 9270; scene = ['076b919446a45cda', '6aa2acda128083e0', '35be9d00a187a89d', '75d40c2f2fb2d5e1', 'd9ac4f9b23c733ad', '23bd2f0d691989f6', 'cf7393cafef6d8fd', 'bc6e8aa85ba27fb8', 'd7b62d011ef0b985', '961a5b7bfe5ef431', 'b4802203e4196f7c', 'f6daf6bdc7a87bb3', '3cd80507eb6513dc', '8f003ac9e4fa3aed', '714ecafb5f39913b', '2bf965e737fdc0e3']; context = [[27, 64], [11, 60], [114, 151], [1, 40], [10, 46], [48, 92], [37, 79], [8, 49], [22, 67], [31, 70], [26, 68], [19, 54], [39, 79], [1, 43], [75, 110], [95, 136]]; loss = 0.011310 low_pass_filter = 0.300
+Epoch 0: | | 9279/? [1:37:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 9280; scene = ['76d99fe5793755ad', '0dec435cb47386ac', 'e1c4289c6eda3545', '3620a7e99b83f48f', '222b51c444cfad2d', 'eb971dec77a65942', 'a5f125662576269b', '54c7f3ad5c9f46c2', '8e275c7036a72750', 'b415eb0a7def34c2', '2f4670e943868545', '0cf4667328f5b6d1', '6f89b004f29034b9', '7fb53a33dbd36d05', '044be76874e9fea9', '9bcc2b1ebca560c9']; context = [[5, 39], [2, 35], [9, 43], [64, 115], [0, 46], [36, 71], [10, 54], [1, 42], [4, 42], [2, 41], [28, 68], [57, 103], [6, 45], [3, 54], [6, 45], [56, 104]]; loss = 0.013044 low_pass_filter = 0.300
+Epoch 0: | | 9289/? [1:37:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 9290; scene = ['1a5a8ce59f4c2e5b', '34160faa9ea64eff', '5390abb4147a0035', 'de5c7c6d409b1972', '883829eacd223cd3', '1fb018a31de37456', 'be32cdc488ce00c8', '39559d661f746739', '4514a5c68e922b2e', '104b4e0db94e667d', 'e6f3acdbe3c6ec77', '1de68d5c69310dae', '05f20de3b10dba9a', '34dd90f74228f1ce', '432bbc60a010b15e', 'd4896139155e24c5']; context = [[11, 45], [140, 191], [13, 61], [37, 88], [80, 126], [41, 90], [81, 127], [56, 105], [4, 43], [12, 47], [0, 49], [10, 51], [4, 40], [10, 52], [64, 109], [14, 62]]; loss = 0.014107 low_pass_filter = 0.300
+Epoch 0: | | 9299/? [1:37:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.00train step 9300; scene = ['5faaf84b234d10a9', '2cb2e33bc0afb21b', 'dc7df91fbccf6e65', '60bfa053d499254f', '06fc18da65b07b30', 'dfdb88c1a5ca0d75', '14e2ed89ae5008f6', '9ec6a602c5bbae52', '421498827f9e9e3c', 'e364559c1d25e09d', 'cb305b0a8ddac4fd', '9994269c5a207df2', 'feb014e43dd4f086', 'b4869cc97b14612c', 'f053d50764ded3de', 'f80c7ae3e8c135d0']; context = [[24, 64], [4, 39], [40, 80], [90, 141], [18, 54], [111, 150], [55, 94], [13, 61], [218, 265], [167, 215], [33, 73], [10, 59], [34, 75], [117, 157], [96, 133], [27, 61]]; loss = 0.014717 low_pass_filter = 0.300
+Epoch 0: | | 9309/? [1:37:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 9310; scene = ['0a4984a2df86b475', '6cb7f85c92dc6f1a', '63e22bbf20853cd9', '854751ec83107f77', '8dd25b0a12c6a8f8', '162b5410b9529295', '348e112a06c25f4d', 'f86449bbc54d536f', '80d7984ab95782a1', '334e7a0f91f2c699', 'b71a1e48ca1f08ab', 'b2ccb60cd92b5c47', 'e85265a8d92fd967', '4bc5ddb6cabff7db', '79adefa90b4cf274', '7294e6445c250c4d']; context = [[12, 55], [198, 249], [147, 187], [3, 48], [8, 44], [99, 142], [40, 75], [25, 61], [161, 202], [29, 78], [30, 70], [101, 147], [3, 44], [19, 66], [219, 256], [153, 200]]; loss = 0.015091 low_pass_filter = 0.300
+Epoch 0: | | 9319/? [1:37:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.00train step 9320; scene = ['4ef4fd3c800a7e21', '666934b2753d2643', 'f1f66397186ed847', '93dde83dcd181a23', '785a1e5ffc9dd226', '3fbed29020ac94d0', 'c31f12f994a9e2eb', '2f7d9c645f6cc733', '09d2dd751382079e', 'a60d33091f7952fa', 'cc876c5d33ba1022', '368ddc9b1d4d127c', '45f8df6c049de373', 'eb76111359290980', '6b2d9a2c36445976', 'ce29cb3a552da119']; context = [[165, 199], [3, 54], [9, 52], [137, 176], [12, 45], [69, 106], [23, 56], [28, 72], [112, 153], [73, 112], [14, 63], [17, 50], [40, 78], [14, 63], [42, 77], [123, 165]]; loss = 0.012572 low_pass_filter = 0.300
+Epoch 0: | | 9329/? [1:38:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.00train step 9330; scene = ['b62e9605955c06af', '58e001030d942c55', '25fc725784a63284', '3d3071a3081b6611', '105174be89a2dedf', 'dc3bd32d9c7eb770', 'f6d99b98c43d1c51', '18d2d38e04e4510a', '495f43228d58ee0f', '2b3d0f3383cdbf6d', 'c93d526ee4bfcbf9', '408c3d33681fb78d', '9581c4e12f850b42', 'dbaaa42c678599b5', '89a0b178ae2983b4', '9f410676f99482d4']; context = [[129, 162], [19, 64], [10, 47], [140, 183], [16, 60], [29, 65], [30, 69], [60, 98], [130, 166], [10, 53], [7, 46], [21, 55], [4, 46], [51, 99], [0, 39], [47, 80]]; loss = 0.012468 low_pass_filter = 0.300
+Epoch 0: | | 9339/? [1:38:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 9340; scene = ['e276eefeae7b461f', 'a84e71fe1657fdc8', '9f06aac5688af47a', '4474d194f5b20728', '95317d58734b4c15', 'bbe0f1533f35a656', 'e020be14afb3ef14', 'aa96090d6b108262', 'cb7ea96f12ceed00', 'd4e5b689bb8bc4a3', '6f70b8b96a4b3dca', '84d2075f2f6732cf', 'd4422938cc00c968', 'bcc2187b08eddbf5', '6d6368bfdb2564a8', 'da68c805b37deb5b']; context = [[16, 62], [6, 53], [118, 159], [40, 88], [51, 97], [44, 89], [42, 80], [1, 36], [11, 51], [66, 107], [193, 236], [0, 33], [52, 97], [81, 132], [60, 110], [54, 100]]; loss = 0.012701 low_pass_filter = 0.300
+Epoch 0: | | 9349/? [1:38:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 9350; scene = ['550b183f0cd83a7a', '43d0e6dce7bb1e95', '87116b1c1771f225', '1ca420ea134b5748', 'd34e6f770d5be502', 'd51a5f3f6dd9f3df', 'fe1b92932a2eb481', 'c9073667ec83abcb', '9d8ca21d7984f76b', 'de6ad905da091ab0', '93ce775b91288252', 'd0f4f1c4157d67aa', '4b95a6a4485a9684', '08683965a087e86a', '6e53d59a04d16cd8', '216872700536bc0a']; context = [[89, 134], [38, 77], [89, 137], [18, 64], [34, 72], [126, 162], [36, 84], [10, 49], [31, 78], [97, 136], [26, 60], [11, 61], [11, 54], [8, 58], [31, 65], [87, 129]]; loss = 0.013228 low_pass_filter = 0.300
+Epoch 0: | | 9359/? [1:38:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 9360; scene = ['55d50cd41993dcdd', 'e3c8770275e00422', '823a3c23a9602137', '0ef59c22e26c6d00', 'ff482cf78f80622e', 'cd77ec37b5e7c71f', '8af3efa7ecdf2ad9', '2887b9c54db40b70', '436084b37375841c', '31fa2bf7905f868b', '558684b06f159a0a', 'a025554e94654c2f', '8049eef0ee607a97', 'de1181d6c642e883', '07278d9d2d1e4e6f', '590d0d46abee63bb']; context = [[45, 81], [192, 237], [68, 111], [0, 33], [4, 51], [9, 53], [24, 57], [16, 59], [20, 65], [7, 41], [5, 40], [151, 194], [7, 42], [61, 101], [126, 165], [16, 63]]; loss = 0.013418 low_pass_filter = 0.300
+Epoch 0: | | 9369/? [1:38:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 9370; scene = ['cf65b0ce8fe2c62d', '910d55e2a4c79d16', '0d145cdbd83b3184', 'a6b152d906ff93cf', '50b06a884fcc14b4', 'beac5c5adfc10b16', '47c4e506906021d6', '3bb3b9691cae28af', 'fbc5036fb7f22807', '7071b77237833c65', '5932e0e2376c15e0', 'd857ba42e6ae9337', '570b7d81a8e5816a', '0b3c71b1a879326b', 'd0edef000b9ca743', '06d29a52b4aebfbe']; context = [[34, 67], [62, 97], [54, 104], [81, 132], [24, 68], [18, 63], [49, 85], [26, 66], [0, 37], [27, 69], [23, 62], [99, 132], [119, 161], [116, 153], [22, 60], [3, 41]]; loss = 0.013611 low_pass_filter = 0.300
+Epoch 0: | | 9379/? [1:38:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.00train step 9380; scene = ['3dae33d69aeb37eb', '2aeeca33d39b4439', '9ee6eb6b5ed77669', 'da1d49941f6b109c', '4613d1684d150a85', 'c276a84752d08110', '90045f80b67d2818', '99895aa9c099df4a', '4886562339087ae4', '77c68df6ffab9331', '85bac0ef26caa52c', 'cbcb2abdd4e34eb2', '5cb155f519907630', '8427ad712509fccd', '3d66d2e5206fd59b', '027b30795e6686e7']; context = [[111, 161], [160, 197], [0, 48], [139, 178], [44, 86], [18, 53], [137, 174], [25, 62], [18, 69], [26, 77], [0, 34], [166, 214], [41, 88], [16, 63], [81, 131], [11, 60]]; loss = 0.015656 low_pass_filter = 0.300
+Epoch 0: | | 9389/? [1:38:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 9390; scene = ['b4a9c4f771a646b4', '5e64c580f02995fe', 'c1f13598d80903f0', 'd61163a950567fe9', 'db683f6705440884', '7fdf985ba46e978d', 'c0fa0cb15499fc43', '0e5f43adc84b0435', 'dd63342a63be7453', '72f2624f07a5fa16', 'ea7dcd064894c677', '60ebe67fcdbb0767', 'f02a3456a8982ac0', 'c805c67b4344d5bf', '5b66b0f0c61669e0', '0068e9bba9742bde']; context = [[5, 45], [114, 165], [0, 34], [50, 95], [37, 82], [176, 219], [77, 122], [47, 97], [6, 44], [0, 38], [57, 109], [26, 77], [34, 67], [91, 126], [61, 102], [5, 46]]; loss = 0.014028 low_pass_filter = 0.300
+Epoch 0: | | 9399/? [1:38:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.00train step 9400; scene = ['9dd77e2add2f3ed4', 'ddd2fd3db0b2197c', '4068f00bd881cddd', '7d28350d7344ada2', '6186b4ba6e4b8000', '45103e44aefd4928', '0edfcb7e7578256b', 'b1d62a9da799a54b', '05a1a74b1d9019e7', '0303844b61f8e7e8', '9df974b10d93887c', '47357deda670dbbe', '5c312ff4a32a368a', '7f5d7db67c85db6e', '234fd65bd1f99a1a', '2f4a0140e4762400']; context = [[57, 103], [7, 54], [228, 267], [144, 194], [208, 243], [13, 57], [43, 90], [3, 45], [10, 62], [13, 59], [48, 96], [49, 82], [100, 135], [220, 257], [34, 80], [18, 53]]; loss = 0.014570 low_pass_filter = 0.300
+Epoch 0: | | 9409/? [1:38:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 9410; scene = ['b07f25b709830e18', '5fdaeb4bc51e16cc', '4ac76032dabdb269', '290e786418fa5d81', 'e9aabc27e8c05bba', '357bd543948e7076', '540887bb924d817c', '6fde90b283b311d7', '4a15710bcc33670c', '74a8e6140c49f568', '7d77404c05b9f3c4', 'c4f5ed61a6c51132', '0f07c141e5bf8a55', 'f7a40f73064a3c09', 'c087bcbc6887fb94', '4a6fc7a3eda909ae']; context = [[49, 90], [11, 57], [18, 68], [64, 115], [12, 53], [1, 45], [45, 91], [18, 70], [42, 87], [58, 96], [2, 39], [55, 88], [11, 52], [92, 143], [4, 41], [65, 115]]; loss = 0.014560 low_pass_filter = 0.300
+Epoch 0: | | 9419/? [1:38:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 9420; scene = ['7d6d4af2634f852b', '99ae43a0c2b382ed', '7b6402b6b7dbb3ca', 'cf66a28e7fc91df0', 'b2552e4d82704f91', '72b8841cd425a2c9', 'ab9f6c8caa4811c7', 'e1905c89e196f30f', 'dade4c1bf5691eaa', '6dfa39c38752e808', 'd64375df42965cc7', '887e6ea37b83acd6', '6aeb9e7da2ef641b', '0a33f564954219bf', 'a25f9f692c13ade2', 'eefc90aa3286ec8e']; context = [[0, 34], [130, 168], [226, 267], [19, 52], [33, 84], [20, 67], [14, 62], [4, 37], [3, 40], [46, 79], [96, 145], [21, 64], [32, 82], [4, 47], [23, 72], [15, 51]]; loss = 0.011043 low_pass_filter = 0.300
+Epoch 0: | | 9429/? [1:39:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 9430; scene = ['cd9f22e2ccab8e1c', '9103f896c98395e9', '5968fddab585c142', '92087cd1fe458a9e', '721ecdae6bd08432', '093c78c8a4198bfd', '26c1372d50e49c83', '13f84c9e46eb697c', '7df242a9c4144216', '53345f5cfe65a214', 'c3bbcee94ab6ff1b', 'e2eabf4e6e9c8fff', '7173e6107342f9bb', 'c94cb4be652f013a', 'f1243209c64904cb', '92971b350374bdb9']; context = [[81, 114], [46, 96], [40, 89], [22, 71], [99, 146], [4, 51], [64, 104], [138, 188], [37, 81], [2, 41], [71, 113], [39, 87], [20, 55], [9, 55], [70, 114], [17, 66]]; loss = 0.013430 low_pass_filter = 0.300
+Epoch 0: | | 9439/? [1:39:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.00train step 9440; scene = ['7f97fbd2a01c6820', '674e6a33e09edcf3', '856bb1da2f10d78c', '00f0397d5f6a855e', '3b9e4746198f5f87', 'f1003c330038505a', 'b0bcc4d7851c2772', 'ea9d27d15fb314d2', '4d220c5bb499f859', '360071cdfb60fb0b', 'fb330853f70eb73d', 'a584b2e57a8134bc', '0aa07b78c395a680', 'b7906279b66195ae', 'c45d298bb3d0da30', 'd67eb389200533bc']; context = [[53, 88], [186, 221], [24, 69], [174, 209], [6, 56], [87, 120], [155, 193], [25, 67], [6, 45], [112, 163], [34, 81], [36, 83], [9, 42], [71, 108], [188, 232], [4, 50]]; loss = 0.016469 low_pass_filter = 0.300
+Epoch 0: | | 9449/? [1:39:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 9450; scene = ['3c175026cd65cc5f', 'd24480339d5479dc', '90715d6d5103b915', '1af025e81b64e0dd', 'b9721059b3e7244d', '5659ca024a33b07e', '75793ec1ebb5f4f0', '23630214eee70195', '94019fd1a6b8f165', '56f89de5fca4a8bd', 'a1de94218a808592', '3c9d16449bd44c53', 'c34a61c40db0bee3', 'a4c5e65a8a1fba1a', '274fa63f8728b73b', '9e8a3ff0ae41f210']; context = [[128, 168], [17, 59], [6, 53], [20, 58], [203, 249], [22, 74], [44, 93], [14, 54], [17, 66], [53, 98], [35, 81], [63, 99], [7, 40], [164, 197], [35, 74], [127, 166]]; loss = 0.015477 low_pass_filter = 0.300
+Epoch 0: | | 9459/? [1:39:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.00train step 9460; scene = ['1ddfb57e650ff7b8', '87deda7b1929094d', '0601e693d4be7da9', '0a4fd25e497e454a', '15f15336f1ea584f', 'd58601f62cc5e1d1', '7894112a97be7c1a', 'd864eae7cc642d77', '293427f95fdca384', '58dadf996a8bbaa5', '4ec21b3df4931e7c', '0e0fc78c17784636', 'cf3fe357ad8ba247', 'ce657598691d583d', '4a17fadb96b7c057', 'a679ed057b018385']; context = [[9, 58], [17, 55], [6, 41], [83, 119], [30, 79], [6, 44], [47, 82], [12, 46], [40, 73], [44, 78], [51, 87], [2, 40], [23, 75], [2, 39], [19, 54], [38, 79]]; loss = 0.012736 low_pass_filter = 0.300
+Epoch 0: | | 9469/? [1:39:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 9470; scene = ['1b5e1ad1d9c9e3c9', '16149ec14b18ca2b', '42c3e35803878175', 'd281422330d41e4b', 'd02fee3a4d2fc50c', 'd74d97ede645d0e9', '09874eb1884f53de', '9ff35d834d3535bd', 'f74e257110aba96d', 'db661815480bb340', '17bece5cfebc3428', '1c90cb2d24fd41fc', '475c74936027f242', '0e01bf38ef1cb8b0', '55592d0c1b0c244e', '0333c5ad4dd0ba4d']; context = [[12, 51], [116, 158], [34, 70], [1, 35], [169, 202], [205, 257], [172, 210], [2, 43], [53, 93], [58, 99], [85, 122], [6, 43], [13, 52], [13, 59], [81, 128], [14, 49]]; loss = 0.012187 low_pass_filter = 0.300
+Epoch 0: | | 9479/? [1:39:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 9480; scene = ['f0460e82a071eb81', '61d56cc08c4036e7', '2d9bf0af644a4494', 'ad7947a403b94565', '4f8c73fecdab16ae', '4b9fd6dfd1c41eb6', '9094f5cf4f11fb46', 'd344923f1a1c98d6', 'bbc0fec7981c5124', '6cf17692440379ba', '16345ec2abb57861', '00e891ea28c4bc5d', '35e68001eafe0625', '055202881613c40f', '8a1dd68a51ac5f9c', '72c2b1bac8dff909']; context = [[9, 60], [28, 76], [47, 81], [75, 123], [51, 103], [12, 45], [172, 220], [67, 113], [9, 44], [10, 60], [21, 55], [23, 56], [33, 84], [19, 58], [64, 108], [52, 86]]; loss = 0.013926 low_pass_filter = 0.300
+Epoch 0: | | 9489/? [1:39:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 9490; scene = ['448c9860d6d62ab2', 'ae3c3f56ced468f0', 'a4e0a5d505358390', 'e0e41af517c97c32', '8bf4fe01a15a68bb', '736d4b798beb0a35', '2084683d8f4f7078', '3975666832e5ad4c', '283389655c3f1483', 'b41ece74dd5aa87d', '12dcff965389b09e', 'c9c1e2b910019ebc', '34cc043eac727166', '93b0d5f4f00f5971', 'd1ef42d624a95717', 'eddda29a27d55c83']; context = [[24, 72], [2, 37], [4, 39], [28, 61], [10, 45], [188, 238], [69, 113], [8, 44], [65, 116], [7, 45], [136, 185], [17, 69], [84, 118], [68, 106], [2, 47], [6, 41]]; loss = 0.015536 low_pass_filter = 0.300
+Epoch 0: | | 9499/? [1:39:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 9500; scene = ['6e19ab45a3982600', '69b274f360215d7f', 'c5324b22ede53808', 'c7c587ce549f15f1', '49409514f8f79c84', 'c596a8ad95d20b94', '918fd60b6013998f', 'e9b2255a80860d7e', '197a31a3adc90563', 'df0c7b60f9c247ef', 'c682e5c48ccb9b3a', 'f332794bc679ee50', '4304e0301746a673', 'ecdea29efb217c67', 'af34d39cb4e931f5', 'b404fd5904e83b22']; context = [[9, 60], [6, 39], [33, 68], [6, 56], [71, 119], [105, 153], [58, 101], [41, 87], [133, 179], [2, 43], [62, 102], [89, 137], [117, 169], [32, 74], [53, 95], [0, 41]]; loss = 0.013162 low_pass_filter = 0.300
+Epoch 0: | | 9509/? [1:39:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 9510; scene = ['99ed4006744a905e', '7e280a93383e4827', 'd37931442bb53857', '472e204401a1bfd3', 'f76dc874607dce8a', '69cc93892cf83f80', 'bb115a9071e2ee44', 'ce1939d4a39ec7c2', '2fb54641bbff602b', '466d08ca50d6fa94', '4ca745c7db2144d6', '34193f7fd37e5d4a', 'ab1db80bd5923f81', 'eb4645960b5e3ec2', '1f817d9e3f71235c', '6961e40fcd21225f']; context = [[32, 75], [0, 33], [29, 68], [108, 160], [159, 201], [1, 43], [33, 82], [28, 80], [43, 85], [14, 50], [0, 41], [48, 82], [131, 174], [49, 92], [5, 43], [8, 48]]; loss = 0.012271 low_pass_filter = 0.300
+Epoch 0: | | 9519/? [1:40:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.00train step 9520; scene = ['21810cdd510b3446', 'eae1c31de633d357', 'aa62f6ff6b6bfbe4', '04d9e3e49b653d3b', '4ef54337c41e3adb', '479e6171f5b44aab', '50224dd4b565bffd', '3e9238b90b96f5c4', 'e829e2f10cc26843', 'ac240008d63e3e71', '2fbef52fe146a7de', 'a7febe0745056a8d', '23b239f20ccbf0b1', 'd7ec76b4ef960ff4', '791de96f26ea0246', 'a92f224409e7c548']; context = [[20, 64], [22, 66], [35, 79], [0, 35], [21, 67], [205, 248], [14, 48], [9, 59], [49, 83], [1, 49], [0, 46], [37, 84], [84, 134], [26, 66], [94, 143], [231, 274]]; loss = 0.017216 low_pass_filter = 0.300
+Epoch 0: | | 9529/? [1:40:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.00train step 9530; scene = ['e7ca13cc84adffeb', '959dd47373e8175f', '418a9c10a5c2542f', 'dfe61526cdb54b4e', 'b533f95d102e89b3', 'a409fccc9703df36', '0b80f0a65d269cab', '66f1ede9dbc3cc9a', '24ac827ffe43978b', '1bceb09e66d92e69', 'b9931f194a7305d7', '15356f52279ca775', 'f06818ec7902e934', 'f6aee59e21723407', 'ecc967837b29dcf8', 'd2d654c46067da8e']; context = [[6, 44], [30, 70], [4, 51], [56, 104], [116, 168], [16, 67], [47, 84], [10, 57], [6, 52], [78, 124], [13, 59], [29, 77], [64, 104], [41, 77], [51, 93], [12, 51]]; loss = 0.013315 low_pass_filter = 0.300
+Epoch 0: | | 9539/? [1:40:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 9540; scene = ['4d0a07abd5489371', 'e78f4a6197b71a7a', '46815e7ac311a05b', '9a3449c857ad8d2e', 'b101b30ff1f24357', '121cc845c781ea3c', 'b04d1d608f54d91a', '01b1548c7d661213', 'c5f2e6776dac629f', '01d0d2b4aa40236b', '23f38236666f61c8', '3b77ec0fcfd8373a', '70cccb9c7d04585e', 'a8d57c4f203ea8d6', 'c177f074e74a1024', '3782368648aefa2b']; context = [[88, 133], [44, 84], [0, 33], [36, 70], [17, 56], [0, 51], [33, 74], [44, 88], [0, 47], [37, 74], [3, 51], [11, 57], [33, 71], [4, 40], [9, 57], [1, 34]]; loss = 0.014821 low_pass_filter = 0.300
+Epoch 0: | | 9549/? [1:40:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.00train step 9550; scene = ['ebd8b74b0fd45d82', '117d1c9fd462963b', '7001f2125bb0a274', '177b664f6c8eef6b', '34df4fbaef7d0f8e', '0179a441837af0b9', 'b20a4bb379340290', '42e1cec0f12f8412', '6a301b6d533065f0', 'ff022319df48586a', '7959f077bfe391eb', '64e8e8cd6c4fbdf7', 'a90e228525bff876', 'db54db35470e8134', '88caa929eb27afd9', '5cad63fcd9593f65']; context = [[3, 53], [92, 140], [8, 58], [8, 54], [0, 36], [151, 199], [74, 111], [0, 33], [47, 85], [19, 67], [0, 33], [13, 61], [58, 110], [79, 115], [103, 136], [19, 69]]; loss = 0.014149 low_pass_filter = 0.300
+Epoch 0: | | 9559/? [1:40:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.00train step 9560; scene = ['3dabd510c600df01', '69a06312fb2648aa', '18e74cbc966de357', 'd5ca6669bffdb84a', '5d2753079e504d0e', '41218c5837ae70a9', 'e0c03ca15990e5eb', 'fd9625e01240c2a3', '860a02ab44e4573b', '6e3dfded6a7f3fa6', '5679f4f2f6c7e7ae', '3ab741ae7d2d6b3f', 'e23baeaee13d12b1', '1e82a72ac95c1a0f', 'eef4a92fb2f64d7b', 'eae83400ec7b69e5']; context = [[61, 94], [221, 265], [90, 133], [26, 78], [1, 35], [1, 34], [0, 34], [109, 148], [63, 112], [162, 207], [37, 71], [62, 107], [86, 126], [23, 68], [35, 70], [25, 67]]; loss = 0.012545 low_pass_filter = 0.300
+Epoch 0: | | 9569/? [1:40:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 9570; scene = ['3cbfc2fc164269c0', '59e55e5b179a50ba', 'e8041f1e1fed357d', '8f05895cb146fc2a', 'a720ffa787230c65', '8d9ff5cd908a6c41', 'ff02f88545dfa566', '1337c73450ea72db', '62b0d4ee613af70f', '69ecf89c19fc5e66', '06a2001efeb03954', '1cab82c486d4e080', 'bad1a69d62e89438', '4a7dbcb1e28eba2c', '9d5745a7ac5e82eb', 'e7279e6ff17beb19']; context = [[20, 56], [40, 82], [5, 43], [20, 61], [11, 51], [20, 57], [133, 168], [10, 54], [14, 63], [6, 49], [4, 49], [8, 48], [78, 119], [15, 59], [68, 112], [60, 104]]; loss = 0.015465 low_pass_filter = 0.300
+Epoch 0: | | 9579/? [1:40:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 9580; scene = ['a6463fb1c9e10282', '74ed41fdbece3110', 'b913fc397ffe5b87', '04ad9f32c83f28b3', '3541705e5a095fad', '37c29538c79cd90d', '56d1fbbe9848c802', 'f3cbccbf95c1fc83', 'd51cf8e527ea5cad', 'b95a2ce1d191fe04', '264626db21145229', 'c6683515f5c374fc', '42b03fbeeaf5dea9', '00236fcca80c95a0', 'ff6ec5c910457526', 'a97bc33dcad99933']; context = [[17, 67], [87, 136], [23, 60], [218, 263], [29, 80], [2, 53], [73, 106], [18, 58], [73, 120], [30, 70], [111, 157], [0, 41], [18, 67], [1, 36], [18, 62], [13, 63]]; loss = 0.013147 low_pass_filter = 0.300
+Epoch 0: | | 9589/? [1:40:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.00train step 9590; scene = ['54bce673f9455dbe', 'e6d6d65b924b0725', '7dd9793f5c5660d2', 'e18ed4f5ab01e21e', '58986312a7033ed0', '5343b586209c6a89', '238c273ef45e76cc', 'ff267c0c172aadd7', '96e64cff9e0bf42e', 'c0c54c2b4baf2273', '4f5699de910b5725', 'ebda2fb8a6dab1fc', 'd170a72d5c176223', 'bb6360fc6c2a7a6f', '46dada9a4e71accc', '606694c05e360ac8']; context = [[4, 53], [115, 162], [101, 142], [26, 69], [75, 121], [60, 96], [6, 48], [36, 85], [8, 43], [3, 46], [32, 73], [0, 37], [52, 92], [39, 81], [56, 94], [130, 178]]; loss = 0.016887 low_pass_filter = 0.300
+Epoch 0: | | 9599/? [1:40:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.00train step 9600; scene = ['c0e8cd79f73611d6', '31c9c7c73f642cf7', '23f56c968e90b308', 'de01308c20eca844', '55706f538594e6cd', 'f8facf25ebe91f37', 'ad1e3d2c65e67172', 'a34da6e33030e973', '8db9ff38e05c3ffa', '598eb9b46185951c', 'd4e65842508bd432', '76c2816ceb28ae2d', '04023a5e56cfb121', '95e0a2399dbc6008', '74caf02bd5ddc12c', '4abfa80943112607']; context = [[55, 98], [22, 67], [21, 60], [1, 44], [7, 55], [4, 42], [198, 242], [41, 74], [21, 65], [14, 48], [74, 107], [33, 67], [0, 38], [30, 66], [28, 65], [39, 85]]; loss = 0.011734 low_pass_filter = 0.300
+Epoch 0: | | 9609/? [1:40:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.00train step 9610; scene = ['e6382809f20bc883', '2f9e585b65804e4f', '594a9f9c8b76d996', 'f484f9a01bdfac91', '6392f81fbdf07025', 'f0a57ad32f7a615a', 'ee7916d69154f3ed', 'e468d1e2542218d9', '4b4df0a0720dce99', '15ba31ce348a295f', 'fc1d1d7b8f3d3295', '0f1ed084be03230b', '10f2a9b63c79ea31', 'c0ecf73a2ab53c5a', 'c3340deff661af26', 'bae7cb341ef95787']; context = [[23, 56], [21, 68], [119, 157], [7, 51], [32, 74], [10, 62], [3, 53], [141, 193], [17, 61], [1, 38], [6, 58], [15, 56], [2, 35], [80, 130], [56, 107], [0, 47]]; loss = 0.012911 low_pass_filter = 0.300
+Epoch 0: | | 9619/? [1:41:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.00train step 9620; scene = ['5a4a1a47759a6c0b', '4e442aff3cae4436', '1266df8efd97ae67', '1a7a454827491346', '0768f21ad0630461', '655bcaf421fdc40f', 'd4bd95f0a398f630', '8856d6c682a40bf8', '2efc3baf2ea0c6ed', '6f116b8a156347e5', 'abebc5d0f7f1196a', 'bf3e22fba24eeca3', 'c0fdf893a51202f2', '75099097dccf2c80', 'f494451fcd8a8c8b', '6805ee5eedb9a085']; context = [[79, 116], [30, 69], [16, 64], [16, 50], [0, 42], [1, 46], [57, 91], [0, 52], [36, 85], [3, 55], [2, 47], [55, 103], [36, 73], [0, 42], [191, 235], [12, 46]]; loss = 0.012064 low_pass_filter = 0.300
+Epoch 0: | | 9629/? [1:41:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 9630; scene = ['a7c3a68b9b25a47b', '969fa5306305187d', '8fed5b10f8dcf9ea', 'f58b10fef6de3ccd', 'cd61a8d26b82f9c6', '8a2acc2f183dcfb5', '30a4c264291caa0c', '98cb259cd905b8ac', '64287c467f9c455b', 'ab3129359d7c89ef', '8ba8dc3c494ca369', '620c929fd4a8bd4e', '0df5a048d09e63f3', 'dd4843164414a098', '4c132551c14e0029', 'dfec9688b2ba99ea']; context = [[0, 41], [6, 58], [10, 54], [31, 73], [134, 168], [149, 187], [32, 66], [54, 101], [86, 136], [120, 164], [55, 105], [72, 109], [17, 53], [49, 93], [42, 89], [4, 43]]; loss = 0.017979 low_pass_filter = 0.300
+Epoch 0: | | 9639/? [1:41:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 9640; scene = ['5449ea0f398b1296', '18f5aa065cd4b02a', 'bf82a9c4cb1af02c', 'f9383eed67e0b27a', '683391876d0f8c91', '3a09916ab94d104a', 'fd1737c9d5f1cb37', '006b2728057d8236', 'd54fb2208e66c080', 'd81004f6cef35e48', '7df95d8d2d2933b7', '43d042f674f94209', '17be26421f669650', '971586ddd0d6a4c7', '4b699d89d1a1353f', '313cc78ecf6c53cf']; context = [[45, 92], [191, 241], [136, 172], [0, 33], [46, 80], [14, 62], [8, 41], [0, 33], [28, 79], [9, 47], [78, 128], [1, 44], [35, 85], [15, 61], [18, 62], [157, 204]]; loss = 0.012778 low_pass_filter = 0.300
+Epoch 0: | | 9649/? [1:41:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 9650; scene = ['3093cfc489c8cd2f', '4d850750a62bd77d', '224c90a016589fec', 'ede431bc93326650', 'dd5bde1ccda76492', 'b6c4901a41fed652', 'cbb133671b625ca2', 'e01adc15e6595c94', '40ef3793c2b79de4', 'd863a335604c5a1e', '97098e465590c791', '429745bd886be62f', 'c5801600fc13d190', 'be035212259df653', '24f4a34332a7f455', '4a2a4c9c9a87b294']; context = [[224, 263], [10, 61], [112, 160], [21, 60], [51, 103], [0, 44], [166, 211], [8, 48], [21, 61], [9, 58], [9, 45], [3, 39], [6, 39], [13, 51], [1, 36], [20, 61]]; loss = 0.014752 low_pass_filter = 0.300
+Epoch 0: | | 9659/? [1:41:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.00train step 9660; scene = ['6546295c3cec469a', 'd56e9c764f637e1c', '9e88bf87287fd8fe', '9e302a18a294b945', '4581bdd74b6ee0a9', '2f27acaf69f3c7a7', 'b3edac66be582f84', 'b3232677872b2974', 'db1723893a3a6277', 'd7e2a0e5718dc803', '420ca2704db5b476', '1f9574f1e0c1c2b2', 'ed9409fa128e193b', '250c146f5c1b625c', 'df6810678b2a5090', 'bc500f01a9368065']; context = [[117, 157], [4, 42], [16, 60], [13, 53], [6, 56], [3, 52], [107, 144], [72, 124], [1, 37], [10, 59], [21, 56], [14, 65], [52, 104], [1, 46], [11, 54], [25, 68]]; loss = 0.012848 low_pass_filter = 0.300
+Epoch 0: | | 9669/? [1:41:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 9670; scene = ['59f9c9b55158d47d', '426d647fdec9331d', '9be3165beb073d95', '17975ff871886fcc', 'ef685fbdf3e576a7', '82b22a784b4af245', 'd7841a1644022525', '1aa7e75df75e56df', '794b1f61bb53511e', '82ccd88cc5bf3f8d', 'da1ec5bea0dee3d1', '652f860523c0d63b', '7cd094b7d8f5bfd9', '22a76d98bd2d748e', 'caa046f2d8a89f48', '11d03c85eb29a783']; context = [[46, 93], [1, 36], [41, 88], [50, 85], [78, 129], [175, 208], [2, 46], [31, 75], [2, 53], [89, 128], [41, 87], [70, 120], [21, 63], [39, 73], [91, 130], [6, 52]]; loss = 0.016699 low_pass_filter = 0.300
+Epoch 0: | | 9679/? [1:41:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.00train step 9680; scene = ['b54fe52843e0eae6', 'e76a0364d7a3783e', 'da36186940ee1065', 'db13eec5ac6b1c56', '3055585671a8da3f', '3604d95a480cfe31', 'aa5fd8173f0e59f5', '72101c504a4c57d4', '3c3e1619744887ca', '40d0d59dea80c743', 'd8d2bdf1e73f63fe', '6e3772dfbac86778', '067ffc09a8292608', 'ed981652ad74f345', '510e05e121226e7c', '9cb320f193eedcc2']; context = [[29, 75], [50, 91], [4, 37], [20, 63], [115, 162], [25, 60], [20, 57], [60, 94], [102, 144], [57, 107], [70, 122], [80, 120], [19, 56], [15, 65], [5, 43], [66, 111]]; loss = 0.012890 low_pass_filter = 0.300
+Epoch 0: | | 9689/? [1:41:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.00train step 9690; scene = ['99781973423ad6f8', 'ad1ea2448e201fde', 'fe8614f92636fb9d', '5228b0e43b41274e', 'd1daa71bff94be5d', 'ce94464d4c88de51', 'ae53a2036d3f5c8d', '02de2123b9edb672', '3f689cfe96c92993', 'f006719508cebf7d', 'b6cf4496bb5499ef', '0a0b550ac417ed7f', '73999b595d1e78fd', 'feb80dcb94d0a74d', '2061c900b07c6b57', '32f098a92269fed8']; context = [[16, 61], [72, 111], [57, 95], [0, 45], [14, 49], [37, 89], [197, 246], [80, 115], [72, 105], [22, 68], [117, 156], [105, 138], [37, 80], [60, 106], [157, 204], [137, 176]]; loss = 0.013278 low_pass_filter = 0.300
+Epoch 0: | | 9699/? [1:41:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.00train step 9700; scene = ['77558b2d2c2b4265', 'b8b66fb8080e3728', '545078ae8741aeaf', '4de022d688cd6347', '9b9632b6f2b09ee1', 'f7bfb7b54d74f740', '8de3f05e796ac83d', '4288b8edad8268f5', '928a5e1852f9712e', '4c8c4cb3f36fd40c', '36458447af2288ea', 'eecafa48f9ff1cf1', 'bd5fba9dfcd7d4d4', '2166e2ac42256f45', 'f600f2dc407952c3', 'a9b8ea620c424806']; context = [[6, 42], [2, 45], [29, 81], [15, 61], [13, 49], [24, 76], [18, 60], [117, 159], [5, 43], [20, 61], [92, 131], [27, 62], [57, 91], [19, 67], [106, 155], [3, 52]]; loss = 0.016213 low_pass_filter = 0.300
+Epoch 0: | | 9709/? [1:41:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 9710; scene = ['dc8269527ef3ce45', 'e7b5dcde4f4ac406', '193fd7844fe703bc', '76a71e3f90f9bf30', '7251c001255bf0ff', 'c02f2686e610c745', 'fcba395df8e2498e', '3a4c6b8c9f9455b4', '9a5078a217462181', 'e9837742fb349627', '4f3759423dae2bd8', '9c0f8b257ba490bc', '920fab707245ea20', 'd4cd171e1b8e059c', 'c0ee81f4dcfffeeb', '2e9290d74422ecfa']; context = [[77, 115], [78, 123], [66, 106], [0, 35], [3, 38], [1, 41], [117, 155], [63, 104], [14, 49], [10, 55], [29, 75], [25, 67], [7, 49], [31, 82], [188, 227], [106, 142]]; loss = 0.013422 low_pass_filter = 0.300
+Epoch 0: | | 9719/? [1:42:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.00train step 9720; scene = ['b1e9f0d6cce870b9', 'd3fdcab14fb08494', 'bb8e9c543da87e11', '1cbf1e19769304b7', 'dea99f78e85d0c68', '0d6facb9bc716765', '03517651ba03d4c0', '0b9b11980bf84185', 'a9ca4566d7ea324b', '057f50598a482ff4', '2cd12500e4a796bf', 'a16e0e65ec825110', 'bb39eaf814bf4908', '53ce8007d1dae3d4', '1a770b6c0909cc12', '91f161840d0c1cc1']; context = [[7, 47], [68, 110], [53, 94], [36, 82], [56, 95], [1, 50], [13, 63], [5, 51], [17, 60], [50, 100], [81, 121], [98, 133], [42, 75], [53, 88], [8, 59], [37, 78]]; loss = 0.015070 low_pass_filter = 0.300
+Epoch 0: | | 9729/? [1:42:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.00train step 9730; scene = ['802b96614cd86c8e', '2ff7eb3523b118c7', 'd9bb387266891e48', 'd7dd2f2740d42b7b', 'fe46571be21af2cb', '433dca64f1849830', '3ed72542d217a98e', 'af09f44bba9e84f7', '86881d5b0782d118', 'a9dac033ee8e97c9', 'c0c758b51b097148', 'b9cea03dac60ed8b', '8d842be57d4be356', 'b62e21b875ee5c9a', '0378b4978168d643', '5c631011734e2067']; context = [[25, 59], [93, 128], [1, 44], [51, 98], [172, 222], [20, 68], [32, 68], [14, 60], [0, 44], [29, 78], [17, 55], [48, 85], [3, 41], [34, 86], [7, 41], [28, 72]]; loss = 0.013863 low_pass_filter = 0.300
+Epoch 0: | | 9739/? [1:42:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.00train step 9740; scene = ['97399fa3221758b7', 'f6a8eda22762d156', '7951c157ec363151', '46fee8f9d1cbb8d1', 'e4563a7b1b2d1fc8', '46c98543a5160aca', '4d4cb55f98b8a3ce', '6b8d226b03e351ec', 'e9e7bf21d274fc47', 'bd534341f7deec9a', 'd0c14d4e1d752e36', 'b952915e6460baf5', '653f7f9d5721469d', '64c293c5230dfcbd', '9a58dacbdeb095bb', 'b3e785efcbb39bed']; context = [[43, 83], [18, 61], [93, 131], [124, 168], [41, 78], [122, 159], [82, 129], [37, 78], [16, 51], [87, 135], [2, 52], [23, 66], [12, 64], [118, 157], [92, 132], [10, 58]]; loss = 0.014512 low_pass_filter = 0.300
+Epoch 0: | | 9749/? [1:42:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.00train step 9750; scene = ['a9ecea51771d9a00', '6dc1c644edb0b511', 'c6c5e7fabf984326', '86afb61a789d70c8', '53f2452ddc09224f', 'c27226cd8e195456', '019c3a53ef793463', '6f5dadb86bb15604', '76d19f39d78b5460', '037e13cd4894ab2a', '5023f8d6088de9ce', 'cc089cd07b364bb2', '383eef6f20986610', '62eba2b87c032f2b', 'af0488663f2fe222', 'f1f75b1ccbb7cd62']; context = [[27, 67], [10, 44], [13, 58], [3, 40], [71, 107], [28, 79], [4, 40], [15, 66], [57, 90], [6, 45], [59, 98], [34, 82], [8, 44], [16, 62], [32, 85], [3, 42]]; loss = 0.017102 low_pass_filter = 0.300
+Epoch 0: | | 9759/? [1:42:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 9760; scene = ['09a35b357eb6b2e1', 'd18b58ec824238ed', '059823ef51160b76', '627b6d61bcead351', 'c44553e290135c7e', '229a78770f9e62ab', '77da7b2b980f34f9', 'f47283447b11a0a4', 'a44d6979b3bafcce', 'c902db04aedf721a', '2b63e3da632073f8', 'f2f7df2a8b307e10', '3c9a565ad968626d', '554969e92f0c8d3b', '375a71d06e55dbd3', '63530ed9d72a8372']; context = [[83, 126], [10, 60], [10, 45], [11, 60], [78, 112], [25, 70], [193, 228], [19, 72], [9, 44], [105, 156], [75, 114], [48, 88], [1, 40], [113, 163], [22, 64], [74, 118]]; loss = 0.013583 low_pass_filter = 0.300
+Epoch 0: | | 9769/? [1:42:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 9770; scene = ['f10435a1a5438283', '1da5bd3938d1106e', 'cb62165828675290', '1f61a254477e0f4c', '8cd0d1e0b22eb70d', '998668fcaa156c0d', '9dc9f592967c0765', 'cf53b8a78207a9c2', '09d8152f20999cdf', 'd7b8aa8b102928ff', 'df709a9df3c44a6f', '749c8153a4063123', '9c016698821f4400', '889369335eec0c78', 'e7344d391585afd6', '431adcc96d3e7f9b']; context = [[7, 41], [14, 48], [64, 113], [28, 65], [84, 120], [29, 69], [23, 62], [13, 50], [12, 53], [67, 120], [4, 45], [0, 45], [101, 139], [0, 35], [23, 66], [22, 55]]; loss = 0.011516 low_pass_filter = 0.300
+Epoch 0: | | 9779/? [1:42:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.00train step 9780; scene = ['0476466b02a84b3a', 'ffc4643950346872', 'bc8d6f045241fec7', 'de2e30cf9d705e9a', '4dee948bb03cdf09', '155a5893541ce04d', 'ba27feeb604c917f', '8a0c7d552ce04cf9', 'dc0612ed1a7dec8a', '2cd454a8c49f2576', 'a0fe443e6d4d2ad8', '87d35fbd345323bb', 'f0bfa1ba98f8522f', 'c5bf59924ede6660', '204d89d3668801fc', '3337e2c6bf01b35a']; context = [[2, 44], [63, 110], [146, 191], [13, 65], [1, 37], [0, 52], [150, 191], [31, 75], [47, 93], [23, 71], [6, 50], [2, 46], [2, 51], [16, 62], [19, 63], [8, 57]]; loss = 0.010135 low_pass_filter = 0.300
+Epoch 0: | | 9789/? [1:42:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 9790; scene = ['f40339f8010836b6', 'ab55623e70c28295', 'a8a3ac1d2eb6f0ed', '91018ee70f12acfa', '7ada4c7de8f71c8d', '776098a5085ebd65', '27a37fe0dbba2157', 'cf5928145379a681', '45056a7eb7c8bdbc', 'dcf801a408291bba', '5db72078719ec310', 'c53d046975ba40d7', '8d32e7cb3bc425b2', '8745b731b8d39b60', '06470943a498c8c3', '964afba984c320ca']; context = [[17, 57], [130, 176], [158, 204], [17, 54], [12, 49], [213, 260], [52, 105], [21, 61], [5, 54], [57, 100], [86, 125], [92, 125], [105, 139], [64, 99], [218, 260], [42, 88]]; loss = 0.012615 low_pass_filter = 0.300
+Epoch 0: | | 9799/? [1:42:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.00train step 9800; scene = ['14d69bdfa0a25f61', 'a7e3532e7518fccd', '1f8a8b017c031400', 'eed2a0ac0fb2cf63', '50ea4e244743263c', '2fac7bed1a7561b1', '427d49e96e58dc26', '27d782023eb395e7', '85499600113d2bfc', '5501e099f52d4060', 'fd63b19fb7bace40', '0674ab98c84e8fae', '8c38ec97ab1eec6d', 'd628ed946998f4f0', '86dfadf971ff9ff5', 'cd2d9ac2a7223cf5']; context = [[139, 188], [23, 71], [6, 40], [206, 248], [7, 51], [70, 115], [17, 70], [4, 38], [18, 71], [111, 150], [64, 116], [77, 122], [21, 69], [6, 53], [112, 153], [3, 54]]; loss = 0.015373 low_pass_filter = 0.300
+Epoch 0: | | 9809/? [1:43:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.00train step 9810; scene = ['c99aa7df2058b71d', 'cdd6844d28acc6c8', 'd4b69051df78f431', 'b184ea802483e37f', 'cd5b94f8cb32cc79', 'a7dc48ebfac01369', '77f590d17dc1650c', '7858fe677913814a', '2b15d2104d444b68', 'b5260341870c7aa0', '031b56a2e1e4bbbd', 'ca2389f5e4fcfe61', '645a09d7d7670e8d', '5281a8fb06713250', '172bf6877630ca5c', '8d6f84d1ca63da4e']; context = [[1, 37], [2, 37], [53, 106], [14, 62], [8, 58], [4, 56], [25, 64], [0, 33], [55, 103], [18, 67], [54, 94], [85, 120], [147, 185], [54, 95], [15, 65], [27, 70]]; loss = 0.017257 low_pass_filter = 0.300
+Epoch 0: | | 9819/? [1:43:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.00train step 9820; scene = ['85b228978708e76c', '14900b71ac66b7bd', 'b0c722d38ac56892', 'ec69b3992e315a79', '597d275f09b79f31', 'b2ba2a9226ab5416', '334353cf397fda8a', '0db524aed16843f5', '3c23f9c44d4156dd', '244f5889c98e08d8', '21be445f191eadba', '39add666b4236924', '58579896a14a9718', '46cfe90be78f1b48', 'b9ec2a6854380d1e', 'f6240fed8b5ff570']; context = [[181, 234], [123, 173], [85, 128], [159, 192], [111, 152], [2, 46], [149, 200], [55, 98], [14, 59], [212, 262], [2, 49], [54, 88], [83, 118], [82, 115], [47, 86], [20, 61]]; loss = 0.012520 low_pass_filter = 0.300
+Epoch 0: | | 9829/? [1:43:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.00train step 9830; scene = ['b2fdc2586aaa499f', '2f4a0140e4762400', '5c312ff4a32a368a', '9df974b10d93887c', '5f53273e365f8b6c', '1db656924dd94e45', '79745973edbe2fa4', '711034bf4923bb96', '146bae64f879b134', '4277f29e70ca77ae', 'b0b5b54c3e1f9290', '9d54b3b624d9b66f', '947a9f21851781ae', '2855efbe48260b09', '2d52f8760e25680f', '3d5b8dda0216bab4']; context = [[2, 54], [59, 95], [82, 128], [57, 93], [2, 51], [39, 73], [1, 38], [1, 53], [54, 89], [0, 48], [49, 87], [40, 73], [0, 34], [15, 66], [13, 48], [2, 41]]; loss = 0.019337 low_pass_filter = 0.300
+Epoch 0: | | 9839/? [1:43:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 9840; scene = ['76bcd8986a0959e6', '276fe2a344c8c50e', 'f50a0d6022e7e2e5', '50dcba6e74327a01', '4c6a479aa67d1315', '671be2fd373509be', 'aadf777d56b72648', '7f05dc11f261ac7e', '0ad29fc538b4fad0', '820153448a81ca35', '656937bc0b7ed9e9', 'c87fa710dbf6e1e8', 'bbdc3b1539d28a74', '4896a38b53acca36', 'a6848c8e53f92ff3', 'fa6ba76d65250e32']; context = [[2, 53], [215, 252], [7, 42], [1, 47], [95, 138], [81, 125], [23, 72], [52, 103], [27, 79], [9, 52], [16, 51], [60, 96], [9, 49], [19, 57], [4, 49], [28, 74]]; loss = 0.012137 low_pass_filter = 0.300
+Epoch 0: | | 9849/? [1:43:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.00train step 9850; scene = ['a2ef44aa7be20dd5', 'b8f235ecb665c9be', 'cf7ae8e62157a6f5', 'f169545e99771a22', '8fca99d8fece5af4', 'fa82dc63ae8f235b', '37f7b1641c315933', '7c33974e393d64f4', 'b9f3719f5c56510e', 'fe74e8b09f280965', '566856fdd4fbb180', 'b71c6ef47553b7d4', '8332567ce1e76878', '9ac0d7465ed4324a', '451c76fc9212f2cf', '970254d42af05e7d']; context = [[2, 44], [98, 145], [43, 90], [29, 81], [14, 59], [74, 124], [79, 120], [201, 239], [40, 81], [21, 66], [1, 35], [60, 110], [0, 34], [11, 50], [23, 57], [127, 162]]; loss = 0.013774 low_pass_filter = 0.300
+Epoch 0: | | 9859/? [1:43:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 9860; scene = ['6146377d0f7c8084', '9f0dd3325be05721', '193f6046cfb64dbf', '84b68420048d9bde', '526c59f06f78ef7e', 'c03ed794034749de', '232ce13b902c1c4e', '616decbec5e54f5b', 'e6c1294ecbb3ca67', '135af8fc7eccd02a', '709ee41f983bf839', '71ebd07b59eccb9e', 'c520ca5bde6aa3ca', 'a316d04e82d98769', '9c9c2adfbf77dfcf', '5c56608129ff628d']; context = [[0, 34], [30, 80], [11, 57], [220, 259], [1, 52], [16, 53], [0, 43], [24, 63], [23, 71], [18, 68], [19, 69], [6, 56], [30, 70], [85, 130], [42, 75], [201, 236]]; loss = 0.016631 low_pass_filter = 0.300
+Epoch 0: | | 9869/? [1:43:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.00train step 9870; scene = ['826c7e44cbfc5d1a', '88f0af68eabf0b4f', '33a019daeabebf46', '50cebc64e0362f96', '33425a4e98c558b4', 'cc5279bd4e79c125', '7a20ba81fb778529', '0a6ef06298ba3b4a', 'bf7da55d3ef026cc', '9d73c0ab69eb6a0f', '0bcbfc72bbc9cf7a', 'fbc2ebad8df77f1f', '103792bf6a24849b', '131a064a5ab68a39', 'ac030ef563710103', '154ffc3f70fe9019']; context = [[14, 52], [41, 85], [36, 75], [53, 86], [25, 61], [6, 52], [24, 63], [39, 83], [2, 51], [14, 63], [78, 128], [58, 100], [115, 149], [32, 83], [162, 213], [40, 90]]; loss = 0.016403 low_pass_filter = 0.300
+Epoch 0: | | 9879/? [1:43:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.00train step 9880; scene = ['918e7f5dbeffb993', '7b1b9251be2c1a82', 'f4f4b50a47089b2e', '16a544b331e1e121', '646e639101301454', 'a493fb48c96ca433', '2fddf9fba77c95d2', 'b059d8af02000549', 'd60c7cd2305a354e', 'd9031a7327efd918', '614707884d4d8849', 'cb5ed5a3098961eb', '11757f3ec2030362', '03df529a4693d5a8', 'e3d1ab408ea1a311', 'cefc36d11fdca344']; context = [[5, 45], [228, 274], [0, 50], [19, 60], [68, 114], [5, 57], [0, 37], [157, 199], [59, 96], [81, 131], [65, 103], [21, 70], [103, 149], [3, 56], [29, 78], [66, 114]]; loss = 0.012762 low_pass_filter = 0.300
+Epoch 0: | | 9889/? [1:43:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 9890; scene = ['5de8190e37e23459', 'ef461087323ae170', 'd78f25c6b105edd3', '5a57c8e5a5252c3c', '8c035759dce975d6', 'd402be368f70797b', 'f1c1bb1ee6d4c97d', 'ed67e326199a5cae', '322426f484cbd0ce', 'b4d99586fe24950f', '0c16bfd1cc432c9c', '8b2d76f9df651fc6', 'b8974ce42f6d52bc', 'e459d51b26a20aea', 'e1b314577540b3fe', 'ac793b3c47a7c4ac']; context = [[143, 188], [55, 96], [20, 55], [42, 84], [4, 47], [156, 201], [12, 55], [4, 46], [8, 51], [232, 267], [49, 86], [3, 53], [76, 116], [37, 82], [36, 76], [49, 88]]; loss = 0.013915 low_pass_filter = 0.300
+Epoch 0: | | 9899/? [1:43:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.00train step 9900; scene = ['98f9e6a5b0475808', '891b961086b8c3c1', '362336fc9e531a0a', '4ad5cecab1988512', 'f8f773a036b4752b', '6408008d0dcba73e', '370ed12221433e23', '9e785428a4e58006', 'd8f07d36280784a2', 'ef5ecd3ecdba311d', 'd1a73a4f161ca352', '0095d64160cfe952', '91ced81093fc5294', 'f1597eeb7e5b4850', 'a86a7c2b4e5c98cc', 'b2630399cbc3ba2f']; context = [[77, 127], [82, 115], [0, 43], [50, 95], [11, 55], [29, 73], [6, 40], [58, 106], [3, 36], [23, 76], [64, 110], [37, 78], [7, 47], [160, 202], [6, 44], [8, 45]]; loss = 0.012007 low_pass_filter = 0.300
+Epoch 0: | | 9909/? [1:44:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.00train step 9910; scene = ['e93096d620a2a860', '95702bb71674167d', '6abe78a35109d3c1', 'a295c966b22883f7', '3d035b165731fa4b', '2ea0130696f289c2', '85dbd05a5249931d', '063cf0cd1ebf06d2', '887a074e81e590c3', '78ac0510f29dcc4f', 'a09f861cea263471', '3e00e3d2ffba3e7d', '8e678b31fbd4f0f7', '3967d1724b2be6df', 'b5ed90ceb9d84151', '1c0ca2e3cc6be372']; context = [[9, 54], [31, 72], [78, 125], [137, 184], [36, 83], [38, 76], [42, 91], [98, 144], [42, 75], [1, 39], [14, 58], [228, 273], [71, 122], [26, 64], [35, 85], [18, 51]]; loss = 0.015667 low_pass_filter = 0.300
+Epoch 0: | | 9919/? [1:44:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 9920; scene = ['0601e693d4be7da9', 'a679ed057b018385', '4ec21b3df4931e7c', '0e0fc78c17784636', '58dadf996a8bbaa5', '0a4fd25e497e454a', 'cf3fe357ad8ba247', 'ce657598691d583d', 'b076f2a5b52d1370', '75fe4c914a4035bc', '0dfbccbfd1f98e92', 'eef16f49751028f7', '0d9643db1fca8e9b', 'ef77f5e4ef9e62b6', 'cb721728aa3c15de', '2843579651f9596e']; context = [[169, 214], [61, 103], [51, 87], [27, 66], [19, 53], [11, 50], [34, 84], [5, 43], [34, 80], [35, 85], [144, 195], [2, 35], [6, 46], [60, 97], [10, 57], [52, 89]]; loss = 0.011758 low_pass_filter = 0.300
+Epoch 0: | | 9929/? [1:44:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.00train step 9930; scene = ['0badfec5d375681c', 'a7637d6b7874165f', '05e60d579e4c1a11', '6d1a30733b55be0e', 'ed6cb4f3143f3d9a', '5b3d31121fbbfcf3', '3e8b8ed95e9a029c', 'b0ff8c5c54470cd4', '49a0fbfd6a6447b8', 'a0302c0617732987', '1bb273edf1201743', '5778a7995f5faebf', '3a3ebbde361af45c', 'd751cbf65f8a1ff1', '6e7b580f6d0dc690', '618aba340b75f659']; context = [[0, 33], [37, 81], [34, 77], [160, 210], [22, 63], [17, 65], [111, 158], [22, 67], [184, 231], [8, 45], [38, 91], [15, 52], [9, 53], [193, 231], [39, 88], [11, 55]]; loss = 0.014319 low_pass_filter = 0.300
+Epoch 0: | | 9939/? [1:44:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.00train step 9940; scene = ['36b937cc3684eddb', 'b7b940096bce069a', 'd821b84ef7e2c186', '71b063c7314ecdc9', 'd9a133a4747493d2', '2c8487ab01c71a50', 'bb1ca1b7460bbc56', '7cbb043a4ec3cedd', '780d49c9aa4eb8d6', '35b200e8a6f58eda', '20601f9bed4cd257', '9442d70c639d0ddf', '88c04f0696a49b50', 'c3fffe84a411f524', 'e1d47f5f90635f49', 'd1c1ab92eeb4ce98']; context = [[180, 213], [78, 112], [7, 46], [15, 57], [4, 55], [213, 265], [164, 213], [73, 120], [14, 49], [102, 154], [16, 55], [142, 188], [5, 58], [68, 101], [17, 68], [93, 129]]; loss = 0.015230 low_pass_filter = 0.300
+Epoch 0: | | 9949/? [1:44:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.00train step 9950; scene = ['7566ea2bedd7e775', '72446f5d7fa95c3a', '691b75dfc39113c0', 'ec965b86f34bd052', '1a464079ddbe1d59', 'cc1515a91bc7b9f6', 'b662f354bb50dc53', 'ac922386da39b302', '64b30e1b3108384e', 'c1992bb8b28bcc01', '2b6f17c36d275612', '223d9839a448d851', 'ede431bc93326650', '4d850750a62bd77d', 'cbb133671b625ca2', '3093cfc489c8cd2f']; context = [[43, 92], [1, 34], [94, 138], [53, 101], [126, 178], [25, 67], [29, 68], [0, 47], [17, 55], [35, 80], [50, 87], [125, 174], [11, 55], [196, 235], [142, 186], [162, 208]]; loss = 0.015140 low_pass_filter = 0.300
+Epoch 0: | | 9959/? [1:44:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.00train step 9960; scene = ['a58352e07b43176c', 'e32aa6d5935f8028', 'c8831a226b6ee227', 'faa70f7f35d029f7', '0eb3c9b9baaddc56', '9759bbd8b0dab3fe', '21aaa1f3e5a3e5e3', '152903d08e3f1296', '8823e8d69657f66f', '5517b6c42dc7d179', '3ccefee0ded9c4c3', '7759fb0b4c2719d5', '66bb189563306d98', 'bcc710f216eaf9d9', '13e7b6934e6579c5', '859c9f522a98c5c3']; context = [[48, 89], [7, 45], [20, 65], [14, 53], [64, 98], [29, 75], [28, 73], [38, 87], [11, 46], [13, 62], [22, 55], [45, 87], [29, 81], [4, 41], [143, 180], [15, 68]]; loss = 0.015632 low_pass_filter = 0.300
+Epoch 0: | | 9969/? [1:44:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.00train step 9970; scene = ['082d0267663bc304', '2ef2b4cb6e8e77a0', 'eabfbf8e2b4ee916', '924c32f78e96f7b0', 'd83adec7ec2084f0', 'e1e79fcfe1891c76', '53a0c8f7a231f22b', 'c180b05e16a46ac6', 'c5e63a8726d8d66c', '5693b9b70c4d1ddc', '1c920b38bd59f0a8', '401a8412c7de98a2', '70716081af03e1f7', '6512d658e8b42f9a', '94c1d9744c3d43d8', 'fa815bcdb9927d2f']; context = [[25, 65], [1, 37], [7, 54], [96, 146], [122, 167], [28, 62], [118, 152], [217, 263], [33, 72], [37, 89], [98, 132], [21, 70], [1, 46], [52, 88], [19, 57], [16, 68]]; loss = 0.012786 low_pass_filter = 0.300
+Epoch 0: | | 9979/? [1:44:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.00train step 9980; scene = ['4653bb8101cf8bfe', 'd928b06deb87137e', 'b0c6597c77c51a8c', '51d902a2dd5125bf', '5037e401a2b591c1', 'c522861ec7164145', '6e562b93f45f3703', 'b2981a18fe02c90d', 'a6fc934614104310', '1cc8b0d46380da7f', '78920ff5c84458f3', 'f6f1e811cb5d0979', '7f5cbcc7be9976d2', 'f9e508d6f2fb5804', '967b7ff0d45404ef', '98bb75f515029067']; context = [[49, 87], [79, 127], [2, 55], [94, 143], [42, 78], [133, 168], [18, 55], [39, 72], [92, 131], [15, 51], [3, 48], [37, 85], [17, 67], [0, 34], [0, 40], [85, 127]]; loss = 0.015489 low_pass_filter = 0.300
+Epoch 0: | | 9989/? [1:44:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 9990; scene = ['dd3f9caf72c2f70c', 'e9823b7ffd8d1d62', 'a474640fa724d913', '972b76d7f648aafb', '1f7d2289dd8cb483', '367f348575198f6a', 'c747a1c3ba8448e8', '8aa808a0b8f615e0', 'f708a1924342daa2', '2c1209afd2fa704a', '31d30fddbd27c955', '95d8fdbde6d3bc0e', '169b3450c206409c', 'a4be14ed97b5545d', 'bf42ddb0b05a042b', 'ed5b14b917518937']; context = [[50, 103], [222, 268], [14, 67], [83, 132], [0, 35], [49, 91], [32, 69], [19, 68], [162, 203], [12, 54], [39, 85], [41, 77], [31, 70], [91, 139], [2, 46], [0, 37]]; loss = 0.013718 low_pass_filter = 0.300
+Epoch 0: | | 9999/? [1:45:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.00train step 10000; scene = ['4ea88ffe47703b99', '57523d9fded0910d', '71f5c48a0eb24033', '2160ad9e7ad6c76f', '277d14a59f3928dd', '63d914ae93a6954b', 'd4fda198b00995a5', '1ed9c16e7e93fee2', '468a9aad34ae4f6b', '893ee7f0458c8d38', '1f5704bf23ed3e6b', '5cd769c6b0eaad60', '2bd9dbb5e79478f2', '7b50ef84dd63921b', 'd116367068aa5d41', 'c89d788ac6c7e955']; context = [[21, 55], [5, 54], [50, 84], [63, 100], [18, 70], [19, 57], [141, 187], [48, 95], [24, 74], [40, 82], [17, 50], [48, 85], [4, 57], [26, 73], [42, 89], [72, 108]]; loss = 0.016572 low_pass_filter = 0.300
+Epoch 0: | | 10000/? [1:45:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0validation step 10000; scene = ['651a7f83ed093001']; context = [[33, 67]]
+Epoch 0: | | 10009/? [1:45:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 10010; scene = ['02500b1c8485a128', '9bc8044130f0bfb4', '26cf53e825c4d8ea', 'fbc71f6f2c124f9d', '66180223abaebc13', 'a03503eb22f64a17', 'dd51e3825fb8400a', '1d7c980a281df899', 'eba9df5e18faae55', 'f67a1b9990ef71d0', 'f99bc992403196a2', '9167e2ac51454edb', '7353c2be5dcb6491', 'b3842ad806d9a13f', '1e7d7ef1404597f0', 'b2973f598a485220']; context = [[231, 267], [16, 50], [158, 199], [21, 70], [5, 40], [11, 64], [71, 121], [4, 43], [175, 216], [3, 38], [61, 94], [107, 155], [168, 220], [3, 37], [166, 199], [9, 52]]; loss = 0.014026 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 10019/? [1:45:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 10020; scene = ['78e09d4c5b72575b', 'aeb1e434b029fb6a', '2e9fefe05ad421cd', 'f594c0d69af4e9d8', 'f33fa8d34f6094e2', '6389c2ea26244683', 'aa1cd3a00d850d15', 'c28db9946fb2edf4', 'b16ac525d58bb9f4', 'd543eac79076fd7d', '4826d275eb627be6', '2396cd34c407ff77', 'f9890924ad99a82f', '843123f12528ab48', '21189d88aa694a15', '49dc1df9df8763a3']; context = [[24, 77], [65, 113], [39, 74], [65, 114], [189, 231], [60, 98], [16, 65], [135, 184], [1, 38], [39, 87], [1, 36], [231, 267], [148, 195], [126, 178], [15, 58], [26, 74]]; loss = 0.012132 low_pass_filter = 0.300
+Epoch 0: | | 10029/? [1:45:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 10030; scene = ['d47e75b15999fbdf', '5dc0767d6e6c8307', '2066f797ae29e4f6', 'be70d15a4d685e88', '3f46d18800b31883', '6dedb218c00a084c', '2e72193bbf197bd5', '9819b646b98a16cf', '3a61fb6b98ef4d90', '9c72bd16d6b22437', '7070aa1236baa8f7', 'bf77b20cfe6a7e16', '80e81e341b65a870', '2653a2f787580744', 'e634a8ece84cfc06', '1022ccc10636d0e9']; context = [[19, 65], [110, 157], [2, 49], [0, 35], [75, 116], [94, 143], [131, 179], [232, 269], [129, 174], [81, 114], [74, 127], [1, 34], [35, 84], [123, 157], [37, 90], [4, 42]]; loss = 0.016727 low_pass_filter = 0.300
+Epoch 0: | | 10039/? [1:45:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 10040; scene = ['0632ca2dcb91f711', 'b159d0a343e96ba4', '6981e221db0b186e', '799112a46ffddb5d', 'ee0a2a64579222e7', 'a883baeaf5486d4f', '8440d85bae3b464b', '6378d5d697b56aa6', 'feffdda9d1d883c9', '450bc5150cd964e1', 'c7d7e5aa7a9fb093', 'b34e241b08ecb7d0', '43c4ce88526dd652', '75b11ea5ac291933', '8e8f419c0a3f575d', '02c4828c2f604701']; context = [[28, 75], [206, 240], [2, 50], [73, 115], [64, 112], [8, 51], [0, 38], [132, 176], [27, 66], [52, 91], [23, 62], [3, 46], [22, 65], [94, 140], [46, 90], [11, 49]]; loss = 0.013661 low_pass_filter = 0.300
+Epoch 0: | | 10049/? [1:45:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 10050; scene = ['ec1093397856d8b5', 'ad87f26a9b39df21', '7e42605b0a869d79', '39bfcbc1e302215b', 'fa2c250105a39681', '124d90d9db13a06c', '632d6afd88eccf7e', 'a84c79c946520422', 'd8d6e047f4357de7', 'ff704aeea3e40833', '1ad23684e79f2f50', 'addd4c68ebdd4687', '61569b5dd1124938', 'b7d4756bcc712a93', 'af8415641b3922f5', 'b692786e5dea667e']; context = [[32, 85], [150, 199], [4, 48], [17, 51], [6, 42], [145, 182], [146, 181], [17, 52], [2, 54], [173, 217], [96, 130], [73, 117], [94, 129], [74, 109], [29, 79], [60, 110]]; loss = 0.012182 low_pass_filter = 0.300
+Epoch 0: | | 10059/? [1:45:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 10060; scene = ['3a1d2d045043f414', '3ed6a45f22053af4', 'f29c1b3cc98b3302', '95ea7a06b764c19a', 'f0e5e03722791be6', '45fe8e7d1b9acc8c', 'f1fee73a9b341480', '2962fbb4bfaa1f12', '8055cdaff88d9bba', '8152694c7e03b0c3', '14f3add9df8c5c11', 'f8acf602b1dafce1', 'a7930e5ef55f35e5', '50c8be69eeb534e1', '8ead50093236804b', '108b9614c137e493']; context = [[20, 57], [16, 52], [17, 55], [136, 180], [18, 55], [95, 145], [4, 47], [5, 57], [79, 113], [13, 62], [80, 119], [25, 68], [1, 39], [17, 51], [23, 60], [16, 60]]; loss = 0.015014 low_pass_filter = 0.300
+Epoch 0: | | 10069/? [1:45:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 10070; scene = ['fe23698b552751d5', 'e6dd3fbd91151b5f', 'dea4f1344575ac36', '956590dd8707a291', 'b196f9835e7c44f6', '444acbb6c0877842', 'f7de09db1a698fdb', 'eb425ed48c29872d', '4f6f5afc21c3700d', 'c368676e54ad8b2a', 'a6cb8fb613e79662', '83c6fd3484bd4fd1', 'aa6f4e19536dbff6', '0d9a105c2374b898', 'd12eaa23dc8bdf11', '0482887f7befdddf']; context = [[15, 61], [81, 115], [0, 47], [3, 46], [4, 41], [18, 70], [172, 212], [15, 62], [5, 52], [22, 69], [22, 64], [8, 51], [14, 58], [3, 52], [30, 71], [45, 83]]; loss = 0.014593 low_pass_filter = 0.300
+Epoch 0: | | 10079/? [1:45:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 10080; scene = ['54d3668b6c7ed4b8', '4286c3b8e1c06cda', 'dc6e66a4ce144631', '65d162f7d1c47e54', '90da44821a6355ee', '16d7652e7b727861', '8bb18fba00a67b0d', '6c383c3e7ece2df7', '79c39edaa2547bfa', '8e78ce55e3180547', 'ee93c61b2bfae624', '61e85330db0ed8a9', '89bd3e44cbcc4a0f', '778cbba4d1731914', 'fef928bdd59753c7', '24e1642761ed2ebb']; context = [[29, 69], [10, 64], [157, 211], [0, 35], [2, 41], [2, 51], [10, 48], [47, 93], [6, 51], [18, 67], [4, 42], [23, 76], [93, 127], [11, 50], [170, 213], [16, 51]]; loss = 0.012985 low_pass_filter = 0.300
+Epoch 0: | | 10089/? [1:45:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 10090; scene = ['459261e4c39753c3', '4758fab8bfaed306', '02660d7eeff1def7', '59a3f9a0dec5f9aa', 'a085149436e31f8e', 'f7aad825d64e7371', 'ab191b85edb8c03e', 'ada7af33c9bd3f02', 'bd7e2ab0f8736d44', 'ff04b0d2f8c16c32', 'fd9bbfa2cdf4f527', '17384a4de1d3a10b', 'a33629c64ce117d4', 'c47633265598673b', '6e5b881edbc8853a', '834119d6d119fe85']; context = [[23, 64], [7, 60], [74, 111], [0, 33], [50, 95], [57, 110], [183, 224], [57, 96], [7, 44], [33, 72], [54, 102], [59, 96], [5, 52], [26, 61], [141, 195], [64, 108]]; loss = 0.014581 low_pass_filter = 0.300
+Epoch 0: | | 10099/? [1:46:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 10100; scene = ['ade0f8dd75055776', '629022dc25992d4b', '41afb11f5185a7a5', 'c82b6ddaa61c4351', 'a0a53f68abe200db', 'c7202c85a42f828d', 'a007a9915e619f8b', 'de04614869f13198', 'b8f7484d344eeda0', '31c3e0e9d2403cd5', '38cb72f45726e75e', '851dd950cdbcea17', 'ca0ef4335afc5644', 'a16a0940ea913a28', '23a56f1e69fd6165', '8468c4228e3215ed']; context = [[217, 251], [24, 76], [36, 87], [97, 135], [8, 43], [2, 44], [12, 61], [10, 62], [14, 56], [132, 185], [14, 65], [80, 119], [41, 77], [89, 125], [57, 103], [24, 73]]; loss = 0.013837 low_pass_filter = 0.300
+Epoch 0: | | 10109/? [1:46:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 10110; scene = ['7f81996fad0f7caf', 'e317628493b63975', 'bd0014e1f2db0016', '7f373c1d63fc0e8e', '77bb1e0d667eb2c5', 'c4b807c5b04029a9', 'ce4777cadfe8febc', '915ccf1d0279d962', '3d4fbb163ed0c038', 'ced85ab956a4190f', 'cffc10bcbe70f685', '0f26d93c48eb3c0b', '10390a2ff18f8f55', '1ebcb2adf17e7fcf', '3dd560de73369b4c', '6b943f72dbe39502']; context = [[84, 132], [4, 38], [35, 88], [96, 132], [141, 192], [58, 95], [1, 44], [30, 68], [110, 164], [2, 35], [138, 183], [35, 80], [75, 108], [127, 173], [17, 60], [2, 43]]; loss = 0.012452 low_pass_filter = 0.300
+Epoch 0: | | 10119/? [1:46:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.0train step 10120; scene = ['2e1c9ec1ca255a16', '57defd7d138f09f9', 'f4c904d6fb4a2fa2', '2486f0efdbfdfbb3', 'e4f99a9aaf261844', 'df5ec669a18bd867', '77d020db1dda0515', 'e891c0b9f2a7d880', '2d3988d0393222b0', '24e1642761ed2ebb', '678d8464781a3de2', '61e85330db0ed8a9', '2fb81102a2e8cb7f', 'aa2952a523546771', 'cf0209e7acde8329', '79c39edaa2547bfa']; context = [[185, 238], [33, 82], [171, 213], [0, 33], [25, 69], [50, 96], [16, 57], [65, 101], [3, 47], [23, 58], [8, 41], [7, 53], [15, 68], [20, 64], [14, 50], [3, 52]]; loss = 0.012072 low_pass_filter = 0.300
+Epoch 0: | | 10129/? [1:46:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 10130; scene = ['97b29d662bd9096a', 'ceccdc53778b29f5', 'b11de4716fc224be', '5b8d93621a85c23d', '0074915cdbef7836', '6aa46d66a867a539', '78df3c57e0ad56c7', '02da5ca9f9f18cf6', '87fe3501fecd786d', '8c89e26fa17b89a0', '8423d4780c82cd01', '0e5769089b6efd0b', '793e57b9e2a247a6', '593f6ea531f61ac6', '6f3e34c8d2f3568c', '48ecf6d1b62d0b72']; context = [[4, 49], [38, 73], [114, 158], [33, 84], [36, 69], [129, 182], [10, 53], [29, 77], [6, 60], [76, 111], [38, 73], [101, 148], [1, 52], [97, 143], [71, 112], [48, 96]]; loss = 0.015003 low_pass_filter = 0.300
+Epoch 0: | | 10139/? [1:46:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 10140; scene = ['86484f4e15b5b0e8', '4953a1f90daa9743', '993fcef909c7650a', 'dedf1209f6d5747f', '7f532f61480e9e92', 'e5fb96a5660d33ed', '39d5184c4a047f1f', 'a0c8f13e0ee9d03e', 'd43bcc23c8839201', '743f0cd85a629409', '279973ca666dc70e', 'c6abddb9dcb3e5af', 'd14fbadb2e27da35', '11d360f2e93335ed', '4c8b8022496fe58d', '0a9c1e3eea8d9bf3']; context = [[28, 69], [151, 197], [4, 50], [91, 128], [29, 71], [18, 67], [3, 56], [17, 62], [131, 185], [8, 47], [45, 89], [69, 118], [59, 96], [11, 57], [22, 69], [8, 53]]; loss = 0.014668 low_pass_filter = 0.300
+Epoch 0: | | 10149/? [1:46:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 10150; scene = ['0b9b11980bf84185', '0d6facb9bc716765', 'd3fdcab14fb08494', 'bb8e9c543da87e11', '20f38262bd782678', 'd73923d565da5dc0', '83042724e97ab2d6', 'fa10823babfe6bfa', 'e27c4f93bbcb8fd9', '1f8a2896f254108f', '116c2bc8d4fc8099', 'd51012fdf41d767e', '301709115cae6bdb', 'c1dc93d8d75fbeb7', '5d090185a63352fd', '2ea317f26f63c0b9']; context = [[8, 46], [1, 45], [106, 151], [52, 95], [28, 61], [12, 50], [3, 45], [15, 64], [200, 246], [19, 70], [13, 51], [23, 73], [72, 105], [17, 55], [28, 63], [20, 73]]; loss = 0.013784 low_pass_filter = 0.300
+Epoch 0: | | 10159/? [1:46:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.60, train/active_min_children_step=1.0train step 10160; scene = ['62ef70041034583e', '3b5d67521155f9cb', '1260699ecb39ea13', '9f2953eb6ba40d02', 'deaa81a6b3573224', '29c266ed5d1dd889', '881f4e6f9198afcf', '70076cec70524e8b', 'f22bffdad4d6241c', 'a2b310636a3c8cd4', '00761c6dcec91853', 'fcba395df8e2498e', '76a71e3f90f9bf30', '3a4c6b8c9f9455b4', 'c02f2686e610c745', '9a5078a217462181']; context = [[1, 36], [19, 66], [85, 125], [11, 64], [27, 61], [121, 171], [130, 168], [10, 59], [0, 49], [32, 68], [34, 71], [182, 230], [1, 35], [47, 87], [22, 59], [34, 72]]; loss = 0.011078 low_pass_filter = 0.300
+Epoch 0: | | 10169/? [1:46:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 10170; scene = ['18a141667b659c69', '6b87daae30bdc6f6', '275db17fba8893eb', '8b06e196586be88f', 'de17bf629d65d90a', '0f634e30f9e05aac', 'e101281055858415', 'dc866e41ed3eb0a1', 'de96cee44a164178', '2e13acc64828de67', 'c0f2f342a213de80', '70db603854f2299a', '6bf7ab3fde3c1c14', '58de4f6887b1c21b', '15ad28d8b49e49d5', '69527b537b77e803']; context = [[85, 133], [1, 48], [80, 114], [56, 90], [1, 37], [74, 110], [4, 41], [19, 56], [133, 186], [83, 122], [24, 68], [29, 67], [28, 74], [35, 87], [10, 59], [99, 153]]; loss = 0.014961 low_pass_filter = 0.300
+Epoch 0: | | 10179/? [1:46:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 10180; scene = ['c7f44d3eb4c3eb43', 'c3372f1fa6c4714c', '91af46ca79eed804', '7c5ea27a35cf794f', 'af86e999648a354f', '2cd9451a8f8f8f72', '1debdeb9340d8cdd', '492e813277026b30', '3e489712e33bc8f5', '3fe19edea0cd9de1', 'f95b063b60bd993b', '755629a58eba68f0', '2bdc0fd8c339c3f5', 'be9a21133b236d50', '450ff327b50c6693', 'bf281c3beca8dcda']; context = [[20, 64], [37, 77], [11, 64], [45, 93], [87, 139], [99, 152], [41, 89], [73, 123], [37, 82], [27, 78], [7, 45], [55, 93], [52, 94], [0, 44], [81, 115], [42, 94]]; loss = 0.014688 low_pass_filter = 0.300
+Epoch 0: | | 10189/? [1:47:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 10190; scene = ['7c5a58aed81341a8', '7ecf90d498b68283', 'b49792086bdd15ee', '79959a283e58bfca', '292f50a447686c5f', 'f29d8ab49b08ce8d', '9499513a24a1e5ef', '323caf2e6b7dce62', 'fdcfc70a26b04800', '75b793b2794e0404', 'accd0979881dc01b', '608b389e6d305bea', '68f00fec2c235f18', 'b70eb4b085094e81', 'd29b09b5f258f7ab', 'e7d3f00df2a73605']; context = [[28, 64], [11, 55], [22, 57], [186, 220], [11, 45], [71, 112], [103, 143], [9, 53], [15, 68], [39, 90], [26, 66], [208, 247], [36, 70], [90, 136], [1, 36], [5, 51]]; loss = 0.014351 low_pass_filter = 0.300
+Epoch 0: | | 10199/? [1:47:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0train step 10200; scene = ['e62cc4d8f3efe6cb', '760a466066968de5', 'eba582c8dd116c8f', 'f2c65f1db3235f15', '059867494cc551db', 'cdf78598acfcccb0', '79c81482b548f084', 'b33364f7f8aba9ab', 'f5f7a03a083dace5', '7dffb84793d6b079', 'b12a0ab351bffd0a', 'deefb005c327f563', 'b446d15cc675595d', 'ed738053c763cacf', '3670d3f2b5b53c15', '5b39212a0664e8c7']; context = [[33, 71], [69, 103], [105, 153], [26, 62], [8, 53], [52, 94], [90, 126], [7, 43], [41, 78], [2, 41], [183, 225], [81, 131], [52, 102], [22, 64], [45, 82], [46, 98]]; loss = 0.018773 low_pass_filter = 0.300
+Epoch 0: | | 10209/? [1:47:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 10210; scene = ['360522a132341bfc', '82065e7ce51acd3a', 'a17ad78f3de1747f', '6e65795a976312b7', '261bdda76d7124cf', '442e9557a1d853ec', '346c571507de5452', 'ba681e5557b24568', '4b57460bfcb3622c', 'e2f8593ab819939c', 'e160faecc21bd431', 'db94d811017ceff9', '3ab45b6c5ab921e2', 'd56017b6d0b75312', 'ae57cf0694d512d1', '1258cd4602356ce2']; context = [[112, 162], [18, 60], [3, 52], [107, 142], [39, 88], [1, 35], [24, 61], [8, 52], [84, 120], [20, 70], [14, 54], [14, 67], [62, 113], [9, 60], [10, 56], [20, 57]]; loss = 0.014236 low_pass_filter = 0.300
+Epoch 0: | | 10219/? [1:47:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 10220; scene = ['802a2c4f1cdd375a', '36591589ad16fffd', 'aabafe6563b3cf60', 'e0919b7dad9888d1', 'cdfde85bdf3542f7', '88adbd8bb10e8d4f', '708a44e2cf72d34b', '46c8cabc93ae0b2d', '1ee79223b5b61a79', '3354a0f02b3762d6', 'dd780c76fd484eff', '150809c50e75783c', '5f08dfefddf1bc8a', 'f4112543925e9e4e', '49ea8c548dd1f1f5', '9781be61f9af7b83']; context = [[29, 72], [45, 89], [50, 86], [102, 151], [115, 166], [39, 80], [7, 46], [71, 115], [10, 44], [41, 90], [16, 70], [108, 145], [33, 76], [104, 150], [8, 53], [54, 89]]; loss = 0.013632 low_pass_filter = 0.300
+Epoch 0: | | 10229/? [1:47:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 10230; scene = ['fe0501936e490d21', 'abc5e19774a3490b', '28cd601677611f69', 'f7dffb88e8919a7e', '7001f2125bb0a274', 'f467ebdc9fa46707', '4141f50192fca0a1', '34df4fbaef7d0f8e', '0179a441837af0b9', '117d1c9fd462963b', '44f26d002b648c08', 'ebd8b74b0fd45d82', 'ad880359a06025b7', 'b20a4bb379340290', '177b664f6c8eef6b', '7297c259c805075a']; context = [[81, 120], [45, 85], [44, 87], [169, 217], [13, 53], [120, 165], [66, 111], [0, 36], [66, 100], [105, 147], [39, 89], [25, 65], [6, 51], [69, 120], [6, 60], [3, 47]]; loss = 0.012750 low_pass_filter = 0.300
+Epoch 0: | | 10239/? [1:47:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 10240; scene = ['563a22d6074fdf24', 'ed7ec2dbda26c8e6', 'ed34fcdecf03a402', '64fe48431956f5a4', '194d3524ff721743', '193e4b6a051b246b', '7543d9df60679634', '219d6fa361e2200a', '546252fa9fce9180', '34a0b518cf481390', 'd5748016f2f59e88', '8acade3dfc4c5c2f', '882efbeb56fce689', '6da199c6a71373ac', '52f3bb3cf1f36bf9', 'cdfc0049ab8824ca']; context = [[18, 57], [45, 88], [9, 63], [52, 91], [28, 78], [24, 70], [41, 88], [6, 53], [52, 101], [11, 59], [100, 152], [1, 45], [15, 55], [155, 208], [74, 126], [46, 84]]; loss = 0.013471 low_pass_filter = 0.300
+Epoch 0: | | 10249/? [1:47:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 10250; scene = ['dbe23dec6cf24911', '98a9c426f0c55380', 'ac2d8427dd7b3f1b', '8e01aed29e61a9bf', '09c62d8362825d34', '4493030f7666c7f4', '3aca04bc53bfc414', '713cdf4dcda03d65', '9701277a931a6b2e', 'cca0064a5146d620', '8b6752d01e2fcf68', '08e4f6a5098b0d3a', 'f63696fe0c69427b', 'f8795dad7ddecd47', '809ab856b3bb4262', '4e7f5c62bb1d90b6']; context = [[19, 56], [3, 54], [60, 105], [26, 62], [17, 59], [40, 93], [49, 96], [50, 86], [0, 51], [2, 53], [42, 76], [62, 97], [44, 81], [14, 55], [21, 69], [9, 63]]; loss = 0.018464 low_pass_filter = 0.300
+Epoch 0: | | 10259/? [1:47:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 10260; scene = ['b06c9594c6b000d8', '47f6fcc9d713c0e9', '5ea8390f949c9c5e', 'c05232f7de8c5b71', 'feec2eb3852aebc2', '36107140acb611a3', '70a20d40c095d870', '41b80c5fb43019e5', '754a52ce12b77483', '3c15b2ce08b4d3eb', '51a1505d1556cd6b', 'a622560296708d3d', 'c83232c6a4f0b035', 'bef206c32ad4b41b', '8c710017b7fa073b', 'c897303a7723198d']; context = [[38, 91], [46, 80], [4, 38], [8, 43], [73, 109], [7, 58], [124, 175], [141, 191], [3, 37], [19, 63], [49, 85], [14, 56], [17, 57], [155, 192], [32, 72], [6, 55]]; loss = 0.011087 low_pass_filter = 0.300
+Epoch 0: | | 10269/? [1:47:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 10270; scene = ['3828ad130b1c93b4', '170d0c93b0d9d676', '4045105d45800f31', '6ac14f7de01b3021', '7eba39d96769f1f3', 'dd409b33f3f5c29b', 'a987dc34de0f7d8b', 'fbfb9866efe5bf64', 'fad05546fba5dace', '92cffae82bfb22ce', 'd81f183e644ae7fe', '644baf494fab7ff7', 'dd0418fa73c25b1e', 'e1eaaeb084992db2', '8ca0262e75fd9f8b', 'dca4d9700ae80a91']; context = [[33, 80], [7, 51], [160, 198], [6, 40], [105, 145], [23, 72], [94, 133], [26, 72], [12, 47], [19, 56], [0, 36], [8, 44], [17, 63], [63, 114], [5, 48], [23, 63]]; loss = 0.014036 low_pass_filter = 0.300
+Epoch 0: | | 10279/? [1:47:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 10280; scene = ['4705db5f75ab548e', 'ed6c9a5913622c3d', '62560eba3ba6f77a', '4ee204d09f90e35c', 'f7dee93d8f7d334d', '95ce04afcd02e7b4', 'f2074c11f6bba536', '9f619cb9683a8018', 'a9480ab19f0edc3b', 'fca1f74b2536688c', '0b374c27db010039', '4f75f6c2237a4762', '877a29741fb5d2f3', '5b561a71e5e8db82', '1055b59a47af85a8', '1da77874f4ff70fd']; context = [[170, 219], [5, 46], [37, 77], [93, 135], [100, 153], [8, 58], [38, 81], [77, 125], [4, 44], [157, 192], [92, 131], [33, 76], [44, 88], [15, 49], [2, 54], [38, 92]]; loss = 0.012685 low_pass_filter = 0.300
+Epoch 0: | | 10289/? [1:48:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 10290; scene = ['eb0e136af148bcd3', '5af2629c46a31259', 'cece38769c817935', 'e81c6eb3aba6686a', 'b60e24da267d8063', 'ae108d175a910a98', '66cf8d8ca0f511eb', '48129b8304e7e807', '1a565ef44363e64c', '8e605cf190082bc7', '9079c9851a1aa17f', 'e829ec9aab3d586e', '3dcab1ed660e86b0', '53f124b7faa90bfa', '0b570463d2dee7e5', '3e0b7385bac9943d']; context = [[50, 86], [60, 94], [19, 66], [14, 67], [35, 82], [20, 70], [11, 48], [26, 72], [56, 104], [45, 84], [5, 54], [116, 165], [93, 127], [97, 134], [12, 51], [139, 188]]; loss = 0.014408 low_pass_filter = 0.300
+Epoch 0: | | 10299/? [1:48:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 10300; scene = ['5bf4312281f79f2f', 'b4e91f1213a8dd90', 'f18343ceb33e7281', 'ebe3a6e47566886d', '2a9d2d8932f10a96', 'c38501e01077fe3c', '60495ffd0a16fda7', '277d4b6db9b0cd14', '23740b96381eebef', 'cae78aa5152f8b86', '238e389846a4eb02', '358822c067ee44c3', '86a091df45fbb2c6', '47bc43df9965b6d9', 'ad024cde4a589ce1', '8190c957d2f7ce63']; context = [[24, 70], [22, 66], [18, 53], [160, 208], [11, 51], [6, 41], [10, 51], [16, 68], [79, 128], [14, 52], [1, 54], [0, 38], [35, 75], [1, 38], [157, 194], [83, 121]]; loss = 0.017198 low_pass_filter = 0.300
+Epoch 0: | | 10309/? [1:48:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 10310; scene = ['23ea245052ef54f3', '3a7e2c6d479b6da7', '9d219f3e05b22cb2', '6664d1ab6ca3f57e', 'ccc1e64084cd2ede', 'b258d567622b6b49', '56fc9a68c89746c3', '8731e4f6291df835', '5d7cf77400ec9c60', '64738f5c93012be2', 'ff1c09b5820fbf47', '4367d08eaaa983f0', '28c4be784857bea6', '4da78e47fef24309', '99a90c9f04f840fc', '23e956eb11c43626']; context = [[4, 49], [11, 46], [230, 275], [18, 70], [168, 208], [79, 113], [116, 152], [14, 52], [41, 77], [1, 36], [10, 56], [203, 245], [87, 132], [70, 104], [195, 232], [6, 51]]; loss = 0.014393 low_pass_filter = 0.300
+Epoch 0: | | 10319/? [1:48:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 10320; scene = ['ef1196bf52c8c50a', 'a931fc7f77d571c8', 'f9f7757e96ac90e1', '24bdd803225fe50f', 'fd35ac8f908ba3b8', 'fdff9580683bf3cd', '98eadbbd05382827', 'd370b94038002163', '1687dc0329ad6782', '0a7b185e9b182c6d', '8a7dbd468447b0f4', 'c409b76613c0fb46', '7f86d15251f6e07b', '39d01e998bb5aa03', '30bdb9819e21fbd1', '0a5498f62d8f4e6e']; context = [[85, 119], [26, 72], [8, 49], [6, 56], [22, 68], [29, 74], [60, 97], [94, 140], [18, 60], [168, 217], [22, 57], [23, 62], [146, 199], [11, 45], [72, 120], [1, 49]]; loss = 0.014156 low_pass_filter = 0.300
+Epoch 0: | | 10329/? [1:48:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 10330; scene = ['081b7272025559cb', '189d869ff7d8b5d4', 'b9d775a543d2f100', 'dc7a97c282e2e199', '13f24d3678655059', '064ecca9bd5ae208', '48bc056aaa0081bc', 'f86e2ffe522ef03e', '62ff29eea4392196', '2fa6fe5f1c41fda1', 'a5748f129769fe0f', '28aee5144ab8a326', '57c3b7f97d1cd58f', 'a9e831bd27fc9d1d', '6bc023020d022733', 'efca5dfda44e51e4']; context = [[188, 238], [1, 37], [29, 64], [151, 190], [1, 42], [44, 93], [6, 45], [64, 107], [4, 43], [95, 134], [76, 118], [16, 63], [25, 72], [40, 92], [14, 60], [17, 60]]; loss = 0.014629 low_pass_filter = 0.300
+Epoch 0: | | 10339/? [1:48:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 10340; scene = ['9489971a2b14c323', 'ffda0c0d8a50e8a2', 'e947935fb3399788', 'e79887ad9d4d53f1', '86b09005d9a29cdc', '65b6b6655d338290', '1241275438f193c1', '4468e19786d07334', 'e92f5355816a5aef', '3f5d4b742a47b398', '0cbafecfcb0f7727', '59dcf9f18cd0d698', '62cb927090ad787c', '3587edcde437f411', 'a33fa7792c2d3674', '8dde2bd19ae06ffc']; context = [[5, 48], [1, 51], [93, 133], [13, 55], [27, 74], [132, 180], [16, 52], [30, 65], [3, 38], [134, 184], [136, 173], [42, 96], [5, 41], [65, 100], [11, 62], [116, 152]]; loss = 0.010610 low_pass_filter = 0.300
+Epoch 0: | | 10349/? [1:48:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 10350; scene = ['df6fb77e12bc8d6b', 'f4656c96c35b610f', 'd82e16508ecb77ca', '1b8238f8057a7975', '8303b179d7df86cf', 'cc41c29a1db57601', 'f3aa0ec643511c42', '2bf6e42939188e55', 'e6d2e92f0f973aa2', 'da26227aa947976d', '6995e4ffc88abd8f', '704fec051b7efd3b', 'ca030905abc41a54', 'b38c90b77ef3ad91', 'b84a5c1e7734f562', 'bd9691996bd5d929']; context = [[131, 173], [26, 76], [57, 110], [38, 72], [2, 56], [34, 68], [1, 41], [128, 173], [18, 62], [25, 72], [115, 166], [5, 40], [23, 68], [41, 92], [133, 184], [127, 162]]; loss = 0.015138 low_pass_filter = 0.300
+Epoch 0: | | 10359/? [1:48:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 10360; scene = ['1680e75e59c5ecc6', '35f1cf907195fd7e', '0615ffb1a55fd0c2', '8f54c518ad267715', 'af06c5b083c836cc', 'e61d47ab91b1a5d3', 'cc093a1892852766', '630af2661c927199', 'c83bef82111d4aad', '8d60ea5b478d4f97', '02f2b7f3029e928d', '3052b5f6cff53c4f', 'fc8edcca8cd02ba1', '1f22478bd8c3e9c2', '1d9a4fabedaa8d87', 'ec30b155fdb742b4']; context = [[30, 64], [33, 74], [14, 58], [4, 54], [23, 70], [97, 150], [11, 64], [51, 105], [20, 62], [83, 132], [12, 61], [38, 75], [113, 152], [70, 111], [15, 69], [94, 147]]; loss = 0.013193 low_pass_filter = 0.300
+Epoch 0: | | 10369/? [1:48:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 10370; scene = ['2dc9932d1b0a0a7f', 'dc7d62daf87c89ca', '70ebcfb771660089', 'f6cacfdf9c5c4ccd', '202ab5c80b5334fe', '4ec04c03350c62ec', '180b50ea8753b359', 'ace99e115a5acf07', '01451c8336b62856', '85d3decd6f25f5a9', 'dde9f83e78d51e25', '7b62b028e8f75575', '429fbdb20eaed213', '8d1cd85733dbe31e', '198f5cee4b98941d', 'e6970f769cab81f2']; context = [[74, 112], [9, 46], [46, 94], [92, 143], [22, 69], [35, 74], [2, 56], [22, 75], [38, 80], [180, 228], [28, 79], [17, 68], [3, 40], [38, 85], [11, 47], [3, 51]]; loss = 0.012615 low_pass_filter = 0.300
+Epoch 0: | | 10379/? [1:49:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 10380; scene = ['ea048e21097e9eae', '458e67c3c4dfbf24', 'af4ba8dac0ef1089', '2f261ec99e601af5', '5a2447dbfc1bdfac', '99947f86c2cc4108', '482ceff1527f21e1', 'db5e3b998bc94027', '6803b3d46e5a2c7f', 'a52d26a78b04aebd', '1de01a17409a9796', '9f0556e88970a060', '0229f60ec409f031', 'ba76b759b2227043', 'b31f454ee7112d4a', 'dc49dc3addb7cae7']; context = [[59, 99], [22, 58], [1, 35], [2, 54], [51, 105], [36, 70], [61, 101], [5, 40], [5, 48], [49, 92], [7, 55], [102, 151], [40, 82], [26, 78], [44, 96], [3, 37]]; loss = 0.012396 low_pass_filter = 0.300
+Epoch 0: | | 10389/? [1:49:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 10390; scene = ['0b95756523e57ef9', '1fef55c7753f1cce', '4f768e705a9c812b', 'd23843ee6485a4ca', '2962175a510cf868', '527265924b9b6375', 'ff476ba779fd6021', '6af98c375abdb63d', '88402eba1dca60a2', '38c220ff58e572ac', 'a2c884e396d7f501', '200afae0928a1372', 'ebaeb44a88de9332', '518200a52559d895', '0d4ebded1cdfa14c', '7fbbee2db2e6cd4d']; context = [[22, 58], [171, 218], [25, 65], [13, 53], [3, 49], [12, 48], [26, 68], [62, 98], [1, 43], [53, 99], [115, 167], [18, 55], [0, 34], [0, 39], [18, 58], [0, 36]]; loss = 0.012930 low_pass_filter = 0.300
+Epoch 0: | | 10399/? [1:49:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 10400; scene = ['89905d291f2f7596', '75ac86500993ad2a', '03781fa53fd2620f', 'de51c7c378eb3f26', 'd578c51b5f2f2976', '8af27c723ccd5649', '9db6fb7dea6b0de5', '0f952b5f2d12de77', '42fc11373e395d2c', 'df05534dfd852202', '53f4c47036a79a64', '55e8daddc05245e7', '74765fcdcd14194e', '9cc01f35f0cdb657', '9b15e63ce336fd2f', 'bc6613d82b011711']; context = [[0, 50], [219, 261], [138, 184], [12, 50], [8, 48], [18, 63], [71, 108], [13, 64], [76, 123], [6, 58], [34, 78], [136, 170], [57, 99], [80, 116], [85, 134], [63, 107]]; loss = 0.014945 low_pass_filter = 0.300
+Epoch 0: | | 10409/? [1:49:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 10410; scene = ['510265ff6868a83e', 'f8d6ba396651d621', '59d40a2bf0266ea9', '385fe2305372cc98', '2f014a85e81ec2ae', 'd2e538c55442f553', '038e82a37ebe8ab6', '6208fd8fe75b76a7', '133b3a480f17aad2', 'cb82108b17ee5e26', '32e727d8ae7909eb', 'af90a0a7bfb09e86', 'ce4e90b4e5ffd2cd', '63a59d5530371249', '61b8e9a04d4980ba', '420abf6c08210c4b']; context = [[116, 154], [0, 40], [194, 239], [30, 64], [118, 171], [142, 183], [195, 243], [51, 103], [25, 68], [1, 38], [43, 85], [81, 132], [30, 70], [93, 136], [8, 42], [2, 39]]; loss = 0.012694 low_pass_filter = 0.300
+Epoch 0: | | 10419/? [1:49:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 10420; scene = ['b49c16ee8cd0a9c5', '3f138c82f489e8d6', '8ef5f29044553f72', '245d4e20614cb157', '1caedcb062e1b3de', '78f45f3aacf11e89', 'a2d81b85eb5661d5', '8ac078c9df050ea5', 'c04b6ad2b52356b7', 'c666100576cb730c', 'd02f4746a46976f3', '7dd18a86280f6d9a', '84e6b90f0c2567d8', '376fd1225e0dbaef', '42b208082fce3bc2', '718964098658e7cd']; context = [[48, 94], [1, 53], [61, 113], [74, 117], [90, 132], [18, 67], [216, 257], [2, 44], [7, 41], [6, 58], [16, 53], [13, 49], [19, 58], [169, 204], [83, 135], [120, 172]]; loss = 0.014476 low_pass_filter = 0.300
+Epoch 0: | | 10429/? [1:49:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 10430; scene = ['e154da90fb5e072e', 'f9976cb2e4c6dfc8', '9d4dc226fb3612d3', 'b9086d2cecefe07d', '93aaaa30360ae75b', 'fc6b484968a872c5', 'b8af5b1dafdf212f', 'f030216648778de8', 'f2dfbbcbe2f3ccd5', 'b3e2ed69a99b2d7c', '810d97e97e862d02', '8bc0f7f6b2dd43ad', '3106bc7a6c027f07', '13cbdf0bfe2b9791', '537580f71422704e', '84e25ecb06005b3d']; context = [[185, 234], [19, 56], [14, 58], [22, 68], [61, 103], [72, 123], [170, 207], [27, 66], [15, 66], [0, 54], [11, 46], [3, 57], [35, 89], [2, 52], [221, 262], [60, 104]]; loss = 0.014938 low_pass_filter = 0.300
+Epoch 0: | | 10439/? [1:49:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 10440; scene = ['8291cf24ba41102b', '78058466b0877072', '8bccc052b4ba74cf', '9348306f1b71eabc', '8ea91aa4a525be61', 'd499555530abbd75', '096d41be4953254d', '496d2945f14b9657', 'cbcbee3300726233', 'b755fdcdb4e6bd70', '96c9a9e1759d9920', '8385639daed6ad35', '59c3bfed205e6641', '9b31d2cb5cbbcea4', '76ae405bf2de98c2', '163767f16a78b79e']; context = [[1, 53], [2, 41], [44, 83], [21, 61], [36, 87], [124, 178], [0, 47], [27, 71], [36, 79], [110, 147], [34, 83], [97, 132], [22, 59], [35, 74], [199, 245], [32, 71]]; loss = 0.013975 low_pass_filter = 0.300
+Epoch 0: | | 10449/? [1:49:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 10450; scene = ['feef5e2670713a8f', '8c55dc484a5b5f15', '186a5a284c365b3d', 'a51c760a0abacdd0', 'f8258c158de746b8', '40f45173830eb9c1', '8d711ea65b50efff', 'a403514a21ed32c8', '06bb07b83821824f', 'b03012389462c1ad', '1ddb78cc1f48115d', '6517a5c87e6898a2', 'ec439c4171f481a8', 'abdf6d63bfd6ec31', 'adb89d2efa4c5ed0', '78f92c1ed03bf116']; context = [[104, 147], [16, 64], [135, 170], [64, 119], [0, 36], [227, 263], [81, 131], [58, 108], [162, 196], [49, 90], [119, 167], [20, 58], [6, 60], [68, 122], [62, 100], [21, 72]]; loss = 0.015876 low_pass_filter = 0.300
+Epoch 0: | | 10459/? [1:49:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 10460; scene = ['4227c1d0a1dd9baa', 'fbe238eba1203b36', '8174562e1424c6c9', 'a401eb9a7a7f6cf8', 'c90c08854bbb3f90', '8349877810e2a83f', '917f08ba5fb037ed', '185842dcb2c2b5fc', 'fb8df0e68de8fc49', 'df7ea73ded624102', '88a25ebeed8c96c2', 'cba922543e0ce396', 'a29357c75f94d54f', 'c9a2960bb9d2faa8', '7c904fa96b0b4adc', '1f551e4fa24be8c9']; context = [[102, 139], [1, 51], [3, 48], [156, 210], [12, 55], [62, 114], [16, 53], [9, 57], [113, 148], [50, 89], [46, 80], [5, 44], [51, 100], [79, 114], [151, 192], [2, 36]]; loss = 0.012377 low_pass_filter = 0.300
+Epoch 0: | | 10469/? [1:49:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 10470; scene = ['19dba813c3dc5216', '7290906ef512f678', '7ddc7cab16aeca59', '01e5938d001f9529', '765a6384323fd345', '4bcba502acc243f0', '9c72fc8b3eaef351', 'c19efa0eb9d3fad5', 'b402605edf8cf6a1', '2de9f3585e79aac0', '3413fcf0a42522c5', 'df3bd90e82164904', 'af9da5714f72f597', 'cbe056c6fa310143', 'ca566378f9664a37', 'f080ccd0ba94997a']; context = [[44, 94], [12, 65], [1, 44], [102, 140], [45, 91], [18, 67], [194, 245], [19, 66], [123, 163], [30, 84], [3, 53], [80, 124], [51, 97], [20, 72], [15, 69], [48, 88]]; loss = 0.013400 low_pass_filter = 0.300
+Epoch 0: | | 10479/? [1:50:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 10480; scene = ['78e9da4acd92b631', '87e49ce2fe2dee7f', '1fd1546cd5dae95a', 'f001500643d191d6', 'ea305252e2b18017', 'f1e8c1b674d290ec', '9bb10fc846b3d2b1', '3b4d6384abe5561f', 'ec1dcf652eae675d', 'c338cd1e105943ae', 'b2a34524405f79ff', '2dd8ae2b71457753', 'a1b7ad951995dadd', '913f87b9648dda52', '23f93bec3ac52e4c', '0120521cfa518c34']; context = [[59, 111], [147, 184], [7, 58], [68, 118], [67, 104], [30, 72], [31, 74], [13, 67], [59, 98], [13, 50], [19, 69], [71, 123], [0, 36], [0, 51], [48, 82], [16, 56]]; loss = 0.015135 low_pass_filter = 0.300
+Epoch 0: | | 10489/? [1:50:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 10490; scene = ['43a64ceea9d9b049', 'a5777f3529615314', '281599bbab3e73dd', '533bb7185fd2572d', 'b25963fb28a6fd6a', '144e1ec915e46d29', 'b34bb5f53856d34f', 'dc50de438abdb52c', '164bfbcf3c843542', '88f602169e8e43e5', 'bedf88185159e542', 'f99640d38891e746', 'a7c776da58a96494', 'e217a44b9eec3221', '1d7ad8c6900e7af9', '61be2551bb51d4a2']; context = [[63, 110], [9, 55], [0, 42], [91, 140], [11, 65], [9, 55], [3, 43], [114, 157], [124, 175], [48, 96], [24, 76], [185, 227], [8, 56], [43, 88], [61, 97], [5, 59]]; loss = 0.015614 low_pass_filter = 0.300
+Epoch 0: | | 10499/? [1:50:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 10500; scene = ['d77ceb15b0826817', '45c738ee1012a980', 'da2adf3f31dbd49a', '1b019f00a194b9e0', '8f0bd3d618e0122d', '537bc79fd64ab93b', 'b5894eeb0380f312', 'f60d7a18ffbc530f', '10fc2214fe5ac8df', '5aec9b63e4af45b9', 'f009b1ef354048e2', '1fc77297584422a3', 'f63c732a09f442dc', 'e58005adaf2618a4', '3c4c09474cf6c567', '63af3a14bf816d69']; context = [[4, 57], [1, 38], [60, 112], [97, 150], [28, 73], [72, 117], [76, 110], [206, 260], [0, 45], [131, 167], [4, 53], [29, 70], [110, 147], [2, 48], [24, 74], [192, 240]]; loss = 0.016956 low_pass_filter = 0.300
+Epoch 0: | | 10509/? [1:50:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 10510; scene = ['bd60dd411034a330', '1523ebad4743e050', '516e3be5ee3bf382', 'ec0f91daffb151c5', '4efe6e6493f54dfb', '2f20605bea9eaa86', '4fa6193d6c4a7a33', '4a60d56fc171fae8', 'b90e9986496ec9dd', '01e5a931a368c08a', 'b47d79c158df940a', '4411ae95c7e5029d', '88228785b1d84b5e', '9939b4381aaf7427', '56ab4d88ec3cac58', 'bd2f1a3acfaafaac']; context = [[65, 116], [100, 153], [0, 41], [10, 55], [0, 53], [114, 154], [14, 69], [11, 62], [17, 64], [30, 75], [17, 65], [36, 81], [18, 55], [198, 241], [1, 37], [4, 43]]; loss = 0.016562 low_pass_filter = 0.300
+Epoch 0: | | 10519/? [1:50:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 10520; scene = ['b996b08a423681d8', 'a0cfd29470296c90', '4cd18800aef658e0', 'ccb4d1a88180b645', 'cba1ed27ce6c425d', '9a47209ef36deda7', '0d3f7ea09377048e', 'f055ce777bc8abfa', 'b2027e45d50ebe71', 'f53a4f8312a99744', '552f85f44b696a5d', '1ae570de2e1c86df', 'd5de6fbe98080f97', 'beffccdf99c76c4a', 'd7fc46af16108a7d', 'd5e41b87c1d3928a']; context = [[27, 71], [150, 192], [37, 72], [25, 67], [21, 69], [52, 99], [40, 81], [24, 67], [82, 117], [41, 84], [35, 82], [31, 86], [43, 95], [159, 211], [98, 151], [98, 138]]; loss = 0.017088 low_pass_filter = 0.300
+Epoch 0: | | 10529/? [1:50:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 10530; scene = ['b2552e4d82704f91', 'd64375df42965cc7', '47af98ea90f1fbf9', '6dfa39c38752e808', 'd124663c9b0bba5a', '526189d3fab5d4e1', 'ab5ed6624644f825', 'b3762e6eada7c909', 'd8b5c23a498b8ae9', '22ca83423c4a8c9c', 'f5c90024e0c40fa8', '964b1504ba08b772', '3a37a1b2a1ea13f8', '7277318e530f2a41', '9825644a9714109d', 'e17790b2f36e4c30']; context = [[72, 110], [131, 173], [56, 107], [5, 45], [52, 103], [58, 98], [11, 61], [10, 65], [37, 90], [41, 93], [1, 41], [12, 62], [111, 155], [30, 75], [133, 168], [3, 52]]; loss = 0.017069 low_pass_filter = 0.300
+Epoch 0: | | 10539/? [1:50:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 10540; scene = ['43e296ca9d20f4d4', '9d9dad88a3bd9b92', '6fb73a6af5090f17', '6bbff5ccc1c269f7', 'b391c9c966914810', '20f26238dcf6585f', '15573128c45442c8', 'f78d853148097f67', 'c152ab577a837dac', '8ef9ff3189c85eee', '5ae6cc7cfcd39f73', '79fe704a7b031378', '2bd20a851148c40d', '894851ce05febce5', '6fa675711973ebba', '518b5b152dbe9bed']; context = [[41, 75], [14, 67], [1, 40], [58, 97], [85, 128], [16, 54], [9, 52], [72, 112], [27, 66], [25, 63], [156, 192], [33, 68], [7, 42], [207, 242], [0, 41], [2, 47]]; loss = 0.013396 low_pass_filter = 0.300
+Epoch 0: | | 10549/? [1:50:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 10550; scene = ['4308e0766d924995', '1198d37162be14cd', '0b72b431bcc27904', 'ad95074b40f49e6b', '8e53e7cae01ffe5d', '3a45cc3847c98390', '47a64eff7f12167d', 'd2b2042b2e6b74ed', '8e5527062b4f2c23', '43a0ba2388348766', '1e1816280d28a87b', 'f3072e703636a2c7', '57619c7c9351d848', 'a952e2399a3b481d', '9b1512f328b4450f', '9f83fb08938eef2a']; context = [[6, 60], [45, 97], [2, 51], [113, 148], [14, 48], [102, 154], [34, 71], [38, 75], [43, 88], [74, 112], [4, 49], [26, 80], [5, 59], [42, 84], [105, 144], [1, 54]]; loss = 0.012742 low_pass_filter = 0.300
+Epoch 0: | | 10559/? [1:50:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 10560; scene = ['7d675692ce253ae5', 'd1594196fa748b2b', 'bd06c66243805d2f', 'd063d31fc9a7af2b', 'e83742a3e43bd126', '62d9c30b7009ade6', 'd3277a590af7e77b', 'cf888eee79e98e59', 'e7cdb81f2a2e7f18', '2f669847b3ec379f', '1c06aea20d266433', '20ad4007f8dc89fb', 'c17f81d64774f6bd', 'cd916eca6a5850dd', 'd1076443c11000db', 'a56643a01b020c11']; context = [[33, 86], [146, 190], [22, 69], [26, 68], [75, 128], [117, 163], [69, 112], [0, 40], [33, 77], [47, 81], [22, 59], [10, 64], [169, 206], [116, 157], [72, 111], [40, 76]]; loss = 0.016728 low_pass_filter = 0.300
+Epoch 0: | | 10569/? [1:51:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 10570; scene = ['8be80e5866e57b83', '20efdeed1a62f8b3', 'a701d299838a4c28', '822d9a51644de98d', 'c8dabe2642f820aa', 'dfe4dbf43041374d', 'fb8c110e1b7428e7', '641955bdd4b500a3', '932378f771303fbb', 'af520f62a535aa1c', '9ef90a8905a14589', '7095019467e67f4f', '25df6b294a638aa0', '2365b39d703e65f5', '19fe6c6d41769856', '6db892e0d6deff33']; context = [[170, 219], [8, 59], [49, 87], [12, 58], [17, 54], [71, 113], [41, 77], [53, 106], [29, 69], [3, 39], [3, 51], [194, 249], [24, 76], [32, 69], [41, 86], [0, 40]]; loss = 0.014376 low_pass_filter = 0.300
+Epoch 0: | | 10579/? [1:51:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 10580; scene = ['4290cc1781a821e0', 'fa178b37d96ac2ec', 'a5aaad695508d68f', '5d730c8fcf428b87', '38de695bf52f781b', 'abb1a998e64aeea1', '597649fd1b135ebd', 'f443c47d3469d49f', '1de9bea98357456a', 'd18a0d22638bfeb8', '2a71c43c29f3060d', '5d55b5dec223dd12', '9c9d619fc87c0650', 'ea47087f2e44d703', '82caadee13099282', '6b6ebdfc9a744a37']; context = [[0, 34], [45, 79], [12, 62], [0, 34], [3, 53], [20, 70], [138, 192], [25, 66], [31, 78], [4, 40], [8, 62], [0, 38], [1, 36], [27, 66], [1, 47], [0, 35]]; loss = 0.012664 low_pass_filter = 0.300
+Epoch 0: | | 10589/? [1:51:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 10590; scene = ['97b5355fdf718cc3', '7a98a13916fbe4a9', '7902548ee26ea35f', '049307dd545ecd8c', '97567831afdc89bd', 'b57bcfd6ba647eba', '5f80c7428ba6889e', '61163dd2b0d8093e', 'a684bc68fed03fe9', '1c2c96e3fe52c6a6', '91461b13fd903e40', 'f04736fbba8bf151', 'd588ae62f9b649c2', '96f03281c30927f5', '11deb50de71ac927', '796ab6cfb1192ac9']; context = [[13, 59], [87, 125], [85, 119], [1, 44], [18, 56], [0, 37], [4, 39], [41, 89], [56, 92], [0, 34], [52, 93], [25, 61], [12, 52], [101, 149], [3, 48], [5, 57]]; loss = 0.018590 low_pass_filter = 0.300
+Epoch 0: | | 10599/? [1:51:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 10600; scene = ['199cc9cb91da9015', 'bbd98017a5638045', 'ce8fd4b7efd2db89', '05d937301b6a15aa', '87496b4445d7539e', '766faacf860da300', '353cdac18ea04920', '7eb3280167278387', '89aa829b0eb46329', 'c2bbcacaa79d985a', '2e1fb15b53a835ff', '648fc6db158f6e55', 'd46599d6e4a2b451', '6006036a4be399b5', '5b3d6bba4d1b3484', '6718140431816c04']; context = [[4, 52], [149, 197], [108, 158], [220, 263], [34, 86], [56, 110], [10, 53], [70, 105], [1, 44], [15, 51], [16, 60], [88, 134], [42, 78], [17, 60], [27, 65], [11, 51]]; loss = 0.014090 low_pass_filter = 0.300
+Epoch 0: | | 10609/? [1:51:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 10610; scene = ['c3097f56d04659c0', '287fa3311585b47e', '8de516bd1928f1cf', '49ba6fbb5a39e7d5', '0678547e251bcd60', '39bcb80c02b8b0f0', 'd3234b40e1d89548', 'f7eef76a59e07c7b', '821c3210d5cb54ac', 'a9bcbc63daf30f4e', '2dc5db0ae2b383df', '1c4c1047238bde1e', '0de33ad1ded7a060', 'f8755c049d3f8fcb', 'f7da323950f255a0', '3bac8b9c47707a8a']; context = [[2, 42], [60, 106], [103, 147], [18, 67], [41, 76], [3, 54], [78, 119], [2, 36], [11, 59], [187, 235], [74, 108], [33, 85], [156, 205], [76, 118], [72, 124], [95, 143]]; loss = 0.016051 low_pass_filter = 0.300
+Epoch 0: | | 10619/? [1:51:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 10620; scene = ['7eecf8d8b64017b1', 'af8d1f77be2d8bf2', '4b7185a79978e486', 'e783de3eb3d285a0', '8c0235ac1048ca32', 'd7805a00c89f9ed4', 'ffe28a6d6696278f', '80a6a796ecd278ae', 'd2e14852ad022560', 'cc27844b3e7285dd', '7d900c809e896e32', '677e8ff48506dc49', '4f56e3a668cd9856', 'c0740961ddca5c98', '232777ce6c9eabc0', '81d9554ed347307c']; context = [[0, 43], [63, 114], [170, 221], [49, 87], [29, 74], [6, 46], [5, 52], [227, 274], [31, 66], [8, 63], [196, 241], [105, 155], [98, 134], [2, 39], [11, 59], [26, 63]]; loss = 0.015144 low_pass_filter = 0.300
+Epoch 0: | | 10629/? [1:51:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 10630; scene = ['4cb365b666eb29d3', '7889cd736fb356f3', '3b21f48e23e4917f', '1f239c3d12dd2cfa', 'b12d380a731ee016', '831ae8dd432751f5', 'cfe1bae9cfeeab1b', '245538607cbf05f7', 'dd5141d992727508', '997bd4fa68eadec0', 'f0652b2d28100573', '5e323756316651e4', '891d946e02df2fff', '895921f7a73776fe', '6799dafe522e51d4', '58d334d3f3518b39']; context = [[6, 48], [25, 65], [45, 88], [19, 58], [151, 198], [41, 85], [64, 109], [57, 96], [19, 73], [137, 179], [139, 185], [37, 85], [47, 82], [87, 138], [43, 94], [91, 142]]; loss = 0.015137 low_pass_filter = 0.300
+Epoch 0: | | 10639/? [1:51:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 10640; scene = ['56ce6ae5fba77cc9', 'ae8afc0cdbd8936b', '179cb42db666256a', '8bb025b1d8e8a9e3', '4858ff2c0bf9c819', '95b457a2bf43426c', 'f13d40fcea581125', '3684a63a1d0cc394', '5797fc9321cf7baf', 'f6318ce59651d073', '7f518de476153a28', '63ba0cc0116eaca8', '3343ae50bd84d78b', 'e921b1095907f7f3', 'e96060d1e31bf6c0', '7d1ff82e642d5373']; context = [[15, 58], [2, 46], [2, 49], [8, 56], [162, 197], [7, 56], [152, 205], [234, 277], [137, 190], [4, 56], [3, 48], [128, 170], [51, 90], [0, 35], [8, 50], [5, 59]]; loss = 0.012459 low_pass_filter = 0.300
+Epoch 0: | | 10649/? [1:51:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 10650; scene = ['fbba07f9e2b2eb49', 'a907466e93b043b3', '70aeebb2e454f169', '02af8885e7cb41d7', '4aea1d41655b1edf', 'ab574acf68bf212d', '83f6f1d6f7bc3145', 'f37017b7df9ed603', '37af8a80f816adcd', 'b690a44f418ac4ca', 'be73b2b97a6ca625', '03efa181c819191c', '4085c1e8f57f9e82', '04990e0e0320ac2d', '1188e171a4f746d8', 'aa46e13f5533ecad']; context = [[26, 78], [12, 61], [5, 45], [14, 58], [11, 45], [56, 95], [43, 96], [99, 152], [85, 135], [35, 86], [19, 61], [127, 162], [29, 63], [11, 49], [9, 54], [15, 56]]; loss = 0.013748 low_pass_filter = 0.300
+Epoch 0: | | 10659/? [1:51:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 10660; scene = ['86456b2758a4e51f', '972b76d7f648aafb', '56ce2c6212dfcee4', '367f348575198f6a', 'e9823b7ffd8d1d62', 'a474640fa724d913', '73e2c81ff459bc89', '12031817317b356b', 'f9e41e5d86d30854', '9b59457b2df7e784', 'e6f64f92a1e8d6a9', '712d7d211c4539b1', '4eb9e7e4f283e229', 'eeb502f41ece8dbd', '85021c1a64e58086', '90653c95937ab5bf']; context = [[55, 93], [112, 162], [127, 162], [30, 75], [54, 93], [13, 57], [73, 118], [3, 54], [42, 79], [37, 88], [25, 63], [4, 53], [220, 268], [58, 98], [14, 59], [0, 38]]; loss = 0.014625 low_pass_filter = 0.300
+Epoch 0: | | 10669/? [1:52:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 10670; scene = ['b43b3e93368302ba', 'd28b9fcb544a45e7', 'dc2a1e5fb50eccf7', '2fb5b4aa03145fe7', 'aab945aab8202b66', '604cb3a7c1671722', '3c6bebf60be1bac6', '5f84ce15c4658c52', '37d7c6279a740c7d', '016c6b963bd36d18', '8f19e30288126216', 'f002b5f89f4e118c', '433d11fdc0b562fb', 'b5845733ce5e16c2', '6611ea98f1c6e06b', '5a66a30abe439c45']; context = [[19, 53], [22, 76], [26, 77], [19, 65], [224, 271], [37, 78], [116, 156], [13, 60], [43, 86], [9, 62], [44, 84], [185, 237], [1, 38], [26, 64], [124, 178], [20, 57]]; loss = 0.014771 low_pass_filter = 0.300
+Epoch 0: | | 10679/? [1:52:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 10680; scene = ['afbcb424f59b922b', 'c1d04ed8f8af34b5', 'b381af14be65abe2', '16b14fdfebf649c9', 'abad44f2b7aa337b', '6e94c7ef02cf40e2', '9b36cd244baab44e', '9ffea0c7512fec43', '543ea079f1309658', '0509f5f7d1cd86e7', 'd2f8a0647a048ac3', 'f94017111f42dc3b', 'cc0248e847e39145', '1cb7b534b1a82b02', '69c85a008c9e7915', 'dadfc4dcd0b06a7d']; context = [[53, 104], [2, 40], [8, 42], [4, 39], [27, 63], [35, 88], [34, 84], [51, 88], [4, 55], [28, 83], [4, 48], [14, 57], [3, 50], [60, 103], [11, 50], [23, 67]]; loss = 0.014077 low_pass_filter = 0.300
+Epoch 0: | | 10689/? [1:52:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 10690; scene = ['91b147adad2393bb', 'b5ad207c172544b4', '1c2c01a428e98033', '22e2907594eb8988', '95368421263dab32', '2dc12db33c77f91e', 'e9b471036d4d32ee', '3ec62fd89dfa182d', '5393d8747f383c43', '33ec839775a753d8', 'ef5524c633cc7663', '6539a1c57c640f9c', 'c05986fca7a09265', 'a14d4a7fabe2ea07', '185f52423e3db8b6', '36808d7373aaca10']; context = [[23, 69], [59, 100], [4, 56], [108, 146], [11, 54], [10, 59], [9, 48], [6, 58], [158, 207], [1, 48], [5, 43], [26, 66], [29, 67], [0, 34], [28, 77], [0, 35]]; loss = 0.014573 low_pass_filter = 0.300
+Epoch 0: | | 10699/? [1:52:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 10700; scene = ['5762441ec0d686e3', '583b68d17a2752e8', 'e4943a4bb9684da7', '551c2fa9249383ab', '5de5a283170df6f7', 'b0441fae76190daa', 'f302eaad53cfb0b2', '92322e57dcdad2ca', '488e139f9c2b0e81', 'f8018d4c96606604', 'dec605b552086fb5', '80fa41ff22809656', '3f07b67383b01259', '28a7ae9192740d6e', '7976cde98101d0fd', 'c556de7049d3c0df']; context = [[0, 42], [71, 108], [143, 177], [11, 65], [46, 82], [63, 101], [0, 41], [4, 47], [55, 100], [1, 47], [105, 153], [173, 209], [12, 66], [73, 112], [20, 60], [45, 92]]; loss = 0.012165 low_pass_filter = 0.300
+Epoch 0: | | 10709/? [1:52:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 10710; scene = ['e3d46ad36a31f894', '4533999a6e1e4d63', 'd632b201605a656f', 'c4ff3d8bf7a9b374', 'd87fdb66e71f79db', 'c4926f4b90c69543', '328685fe320f8caf', '1d9b244f08c05ecc', 'ef54a1b494edb817', 'f9094c90afcf8600', '83c1f7a379ea16ad', 'ebbb1fac5f0a5ae8', '1ce226302cc7ac0b', 'a399dff720ff6df1', '53399daaa6983c96', 'e952a7cca40f58ec']; context = [[135, 171], [3, 47], [50, 90], [5, 54], [11, 63], [125, 165], [21, 72], [32, 66], [170, 218], [58, 105], [26, 62], [80, 126], [21, 62], [10, 55], [12, 63], [46, 94]]; loss = 0.013508 low_pass_filter = 0.300
+Epoch 0: | | 10719/? [1:52:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 10720; scene = ['3e38e5ffccf5c421', '1bc73f7a63d43967', 'cf7784a7cd6bbff7', 'b27cfe405d4312a1', 'a6b52aa31f9e8699', '73638addb662d3fb', 'ad439927c0cf70dc', 'b6f834c92ae6bc5b', 'e28c8bdcaab414b1', '9e331088c1fe40f9', '85a77eda13c38eff', 'd18790effa088d4a', '3cff773fdfeff290', '61d389bddcbd9228', '79c0857364ffcef4', '664b327ec00f0235']; context = [[66, 103], [21, 65], [42, 89], [110, 153], [64, 107], [0, 44], [194, 235], [17, 61], [76, 119], [89, 124], [131, 185], [69, 112], [4, 41], [36, 89], [140, 185], [0, 50]]; loss = 0.012964 low_pass_filter = 0.300
+Epoch 0: | | 10729/? [1:52:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 10730; scene = ['ae5102a2fddf072b', '240037205a68904c', '90a1c5e227743bdf', '0be7ab3df88c9c6e', 'b30bae372ee0cb0d', 'eece18309729d1f1', '36e1163e28f2bfed', '0e52526ad6ae0cbe', '687fcd475fafd53a', '5a1bef51559ebc54', '4e5ec1d83b201b8e', 'd7beff4d08f7f7c0', '0fdab2e3c6852b81', '649dace86011dd52', 'bbbfb82b51d26b7d', '252eeea290153060']; context = [[55, 100], [9, 57], [53, 100], [16, 58], [0, 50], [183, 235], [16, 56], [49, 86], [5, 48], [19, 54], [31, 85], [86, 128], [23, 72], [92, 142], [72, 110], [19, 59]]; loss = 0.013492 low_pass_filter = 0.300
+Epoch 0: | | 10739/? [1:52:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 10740; scene = ['9cf6413586bc72ef', '6e3ccf2193f8275d', '6795e5341d34cb89', 'edc269cf69ca032c', '06ff1462da8f77d7', 'aa5175d18a929cb8', 'ab34ef119289f944', '2f330103819454c6', '1953a0037f4dfe85', '2355737449c72144', '2f269b68e14e256a', 'c38db68f12e40a06', 'ca759984e3ab0101', '8f5ddb008afa3cb5', 'f1b6e93f27fd5770', '90a01a4bf92139d3']; context = [[138, 178], [80, 122], [4, 46], [0, 38], [43, 89], [21, 67], [120, 171], [36, 79], [39, 76], [136, 190], [12, 46], [2, 44], [37, 90], [115, 169], [142, 188], [61, 108]]; loss = 0.015696 low_pass_filter = 0.300
+Epoch 0: | | 10749/? [1:52:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 10750; scene = ['9dff0d02d1d9384b', 'c78363372eaa6b51', 'e44b59a699ffcce2', 'd811b8f5953a9b62', '0691f3bd7ba0973d', 'df0df8be32d89e84', 'f98a460f935a4214', 'dc6d954759b73805', 'd77c28f2d1ea00ed', 'e8c3a88c649c9e93', '8756bf556a0b5891', 'd87cf255a55bf85e', '1863a2baa41abd8b', 'fbb54e268f0d270a', '2d355d446ec188f3', '11bd67c73167cbd2']; context = [[69, 118], [69, 124], [8, 47], [2, 53], [6, 51], [73, 118], [110, 165], [7, 52], [32, 83], [143, 189], [78, 115], [10, 54], [0, 38], [61, 116], [21, 72], [45, 79]]; loss = 0.016643 low_pass_filter = 0.300
+Epoch 0: | | 10759/? [1:53:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 10760; scene = ['db471651cbdd5d99', 'df4932f3193582e2', 'fafb06e8bfa62747', 'c31ea05db434bb73', '567ba6ab34c40d15', 'c5da9eac01c36ff2', '625d8c8fef43f413', '3a12d45202db45a2', '75467ea0aed6bfbe', '080b2ea0bee7c240', 'ac64d6a122d0afc5', '1962a33b9e18bc5f', '4c7919b08e3516c5', '8bcb96a1a54fd517', '5a53bd238e6eb769', 'cf00ac67878b87b8']; context = [[7, 58], [119, 165], [12, 53], [53, 102], [2, 47], [35, 75], [223, 260], [90, 128], [64, 99], [2, 37], [1, 35], [28, 75], [68, 121], [36, 83], [12, 60], [0, 43]]; loss = 0.013899 low_pass_filter = 0.300
+Epoch 0: | | 10769/? [1:53:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 10770; scene = ['1f700e5ea08df281', 'da6c310dfbb63199', 'ddb60a2851cac605', 'd0e7ac78921f8c07', '3a6c71c919d08e44', 'b4f2d07d48d69c0c', '3660cb810808a4cf', '189824d71bbd3764', 'cc6efcc5866e4a90', '4682f088198970d6', '886c8489dee57871', '68ae21f61f539b2e', '5c61be9113ab38be', 'bbe918789666cc17', '031889e2eaf30f9d', '77f2655068e1c4fd']; context = [[0, 51], [91, 143], [22, 71], [19, 75], [179, 219], [155, 196], [44, 84], [138, 193], [6, 54], [9, 49], [29, 66], [104, 151], [66, 107], [4, 53], [6, 54], [47, 102]]; loss = 0.012101 low_pass_filter = 0.300
+Epoch 0: | | 10779/? [1:53:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 10780; scene = ['b34dcbb038fc410d', 'c60574d85b952188', 'aec2f2ec71fdc2ad', 'd738990227f432f6', '899bb046dda0763d', '0e88e1c2acec6616', '50204e987e3dc510', 'f613a9e89ae730c0', 'd39562e79985a0c3', '114d80bc715a44cd', 'e1176be7786367b4', '318ef3fc4a78eb62', 'd7fbb77bd2e9ad67', 'f38f2a4d40b7c590', 'f9e292d0f35004b8', 'cdff8132e3459a84']; context = [[36, 79], [121, 166], [27, 76], [6, 53], [4, 52], [3, 55], [23, 61], [57, 96], [51, 98], [107, 163], [75, 127], [115, 152], [48, 97], [59, 96], [17, 67], [105, 152]]; loss = 0.013995 low_pass_filter = 0.300
+Epoch 0: | | 10789/? [1:53:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 10790; scene = ['d1b84c199cb87a50', '35a5a1130c0e19fc', '4e234250febdd495', 'cd4b6bddafd166e5', '30509b1709d1da84', '69293f51157ba0fb', 'dcb7551919456931', '1932b5da26849498', 'c48422606151f546', 'f493ee914a673ff5', '0294b1cb70478a95', '8fb752ea61e9ed9f', 'c56e0d67e4d6c3e1', '840e57a017357225', '312ed3299485b994', '156af9c6ddbe679f']; context = [[5, 43], [14, 53], [7, 50], [145, 201], [31, 71], [1, 37], [4, 49], [23, 64], [1, 37], [20, 63], [31, 76], [1, 43], [16, 55], [35, 89], [13, 69], [10, 56]]; loss = 0.014988 low_pass_filter = 0.300
+Epoch 0: | | 10799/? [1:53:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 10800; scene = ['6f164beac14b54d6', '060a90d9a3af1a5a', '31c1855b8ad30220', '162daefc4ddae544', 'e7e9cd3b53ca4e22', 'cbae7b8786bec1e4', '7dcdecb79cbb1334', 'a9b44c60b6940e3c', '503b736751827a0b', 'a772b5f2e834d70d', '363ee2c7afc81e84', 'd8cb9464bd861be4', 'a5b3faa684a1553a', '9f73da7d6f136df9', 'aea0b4037df73166', 'f841958b4f3ea9b6']; context = [[50, 90], [58, 107], [23, 70], [20, 60], [115, 153], [10, 54], [36, 77], [45, 92], [218, 262], [53, 103], [38, 75], [0, 40], [32, 75], [35, 75], [22, 74], [49, 98]]; loss = 0.013054 low_pass_filter = 0.300
+Epoch 0: | | 10809/? [1:53:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 10810; scene = ['8c224074efc15ec0', '6c947188060d63fa', 'd6624aac6774c6cf', '8aefbf6af9a0effd', 'ac8718c9d815099f', '79af74ea69a9c396', '2182b76a33fef09f', 'c3eb1f75e218738d', '0a444fac578101f8', '996067d4347858a1', 'c1aacfd63c3b9795', 'e1de4c36a3f11e1c', '826ac620be5fbf0b', 'fc36c85463412c38', 'b5476504de893f96', 'd2504f7d7af1a9a3']; context = [[130, 168], [84, 118], [43, 94], [96, 131], [13, 66], [90, 127], [102, 137], [1, 41], [93, 143], [24, 61], [22, 57], [47, 85], [2, 44], [38, 89], [80, 132], [149, 184]]; loss = 0.013904 low_pass_filter = 0.300
+Epoch 0: | | 10819/? [1:53:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 10820; scene = ['e527185e42bfef1c', 'b49a8fe46dc7694d', 'b5133102e8caa565', '00bb31ba2cf05be0', '5a43331e136e1666', 'a343d36948106bd0', '267277440899ef99', 'd94329f1afbfd37a', '327ffeacfe401040', '1db48e3d68a09880', '01e7660fc6effde6', '5a8073e75cd9fbfa', '9516425d47dda035', '611f9ffdd030567b', 'c0ca2d3aa89e27b5', 'fdd5a412245006ab']; context = [[170, 215], [32, 84], [1, 38], [3, 59], [19, 75], [130, 183], [3, 37], [1, 40], [0, 56], [25, 68], [50, 86], [172, 206], [98, 133], [40, 91], [41, 96], [114, 168]]; loss = 0.013288 low_pass_filter = 0.300
+Epoch 0: | | 10829/? [1:53:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 10830; scene = ['6e9ef6faaa0df4f3', '1e75467b50ed22fd', '9e2bf052c201f18a', '24e6a7744c958836', 'f64f6c0399699bfd', '3b9e5b0a2252ba6f', 'a60d879f1277a549', '57855140884302d9', '000465ebe46a98d2', 'b8c77f634469a6b6', '6515d79898b9369a', '60f44760b582383d', '5e0bb739562230cb', '587ac21c4e3b3d1f', 'b1dc88aff4b1a3cf', '60d1cbf62f136d5b']; context = [[2, 36], [0, 42], [10, 61], [4, 57], [15, 58], [75, 111], [16, 54], [93, 140], [35, 76], [30, 69], [96, 145], [75, 125], [210, 250], [55, 93], [48, 91], [75, 127]]; loss = 0.012320 low_pass_filter = 0.300
+Epoch 0: | | 10839/? [1:53:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 10840; scene = ['6efc0d14af98f481', '3e639512007f1f26', 'da3268230ac49f28', '78208374d1d0f462', 'b891cea879d02344', '3c22fbf37600e8e7', '474f5ced7a7f56fa', '79839b5c36f05295', 'd29332e9bf77c2d3', '4ef1b2f5d77153c7', '212fec778f1a2735', '910ea84fe04de798', 'efe93ae11b0ccdea', '8c68653f00f6d17f', '46e5a4d61907f704', 'd0a5fe02748fc75e']; context = [[58, 99], [7, 60], [23, 62], [195, 248], [76, 116], [27, 78], [121, 161], [6, 49], [1, 37], [112, 167], [75, 119], [15, 69], [43, 90], [229, 273], [25, 74], [5, 50]]; loss = 0.011409 low_pass_filter = 0.300
+Epoch 0: | | 10849/? [1:53:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 10850; scene = ['4d45a366bcfb2824', 'c28fdeb0046c50f5', '1af152530e6445e3', '1ed3d0dda9649020', 'af2748330e5243d0', '08c26703c4987851', '1e7c432d2207b6f2', '4012c15c8381568b', 'c6b42d6e8cebec2f', 'c03bb717234e2031', '854a9ae4c223179a', '6c194892817e9e11', 'a3f4af0fb099f284', '024a0070a97b88f1', 'f5648bf6111582ea', 'adc119d9d46d217f']; context = [[34, 88], [18, 58], [170, 212], [233, 268], [0, 37], [65, 117], [80, 136], [8, 53], [108, 160], [32, 74], [83, 122], [1, 53], [10, 47], [198, 254], [142, 198], [128, 172]]; loss = 0.015801 low_pass_filter = 0.300
+Epoch 0: | | 10859/? [1:54:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 10860; scene = ['a95046148af8e606', '8705a0db1225c81b', '30b14b9792ff70b9', 'ca9d6e24ae21f2c9', '0946f45440ad5b0f', 'a7f0cc76ac6738a0', 'ad96a22bb137e566', '67a34000b10e05d1', 'ce5600070606c18d', '4e1290159c4dfc0d', '7de470f122c55a25', '82b71bfc359ab228', '171b4dff96c9f0cb', 'b23a2d11dd88eb83', '60d2537a38149999', '9e15fbc719ab1e4a']; context = [[37, 88], [150, 195], [3, 55], [132, 177], [70, 115], [18, 54], [34, 72], [191, 228], [6, 44], [36, 81], [8, 53], [23, 70], [21, 71], [16, 59], [18, 63], [19, 53]]; loss = 0.014043 low_pass_filter = 0.300
+Epoch 0: | | 10869/? [1:54:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 10870; scene = ['1201c21d12e6aab3', 'f23de15ce9f60bdf', '3c0a2c6b785634d5', '2d1ef0e2016d80f0', '6116fc054517d36d', 'c019c23d2ddcd8bd', 'b83838c091a3d1fc', 'f24a6c3df94a093a', '049637262aa9a03e', '89eae766d1dfa570', '127ddf70a5395dfc', 'bfad3dedda5e004c', '7758f38825215a20', '2e559f8f3a616aaa', '359152220eb1d27f', '1a85cec942246c96']; context = [[1, 44], [226, 264], [26, 74], [16, 50], [14, 70], [39, 80], [41, 78], [24, 63], [62, 107], [14, 70], [114, 153], [18, 68], [44, 98], [24, 61], [8, 42], [53, 91]]; loss = 0.014340 low_pass_filter = 0.300
+Epoch 0: | | 10879/? [1:54:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 10880; scene = ['05942c4e02b982f6', 'c59b6f75d304391b', '2f04d4aea94eada2', 'fd1af2cf0da71b4e', '7a9e2a1db5d0c45b', '7225310f01007948', '348e39e72320bf9b', 'e7f820327fa7287a', '14b4d62a983a3e42', '57b1333abbaea573', 'b399dfbf864d3076', '1626e670755b1d8c', 'aecba92e05f84330', '2b00682d03aed4d2', '45881f9f6f662df4', '2c7822582c375f00']; context = [[61, 102], [97, 152], [105, 145], [26, 68], [79, 128], [180, 223], [15, 64], [9, 55], [32, 74], [0, 49], [56, 91], [144, 197], [152, 189], [14, 66], [9, 51], [6, 51]]; loss = 0.012495 low_pass_filter = 0.300
+Epoch 0: | | 10889/? [1:54:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 10890; scene = ['a4dac83f28505ba6', 'b6f5561feeabfddf', '8e1791ffb6412f09', '3f161217bfaf3c6a', '3da7fd2b6cb9b945', 'd7ac888a45c3c904', '8abe602d2d3a004c', '5a6387d05cd51e02', '800b6286c2b3b9c7', '336b3140d9d8bebd', 'ea4c21dffcc2644f', '8b4aecd7318912e3', 'f97b13a0875462d6', '119044f24d36828f', '959d906c7ef5fd13', '2f2297ad8904a1c1']; context = [[9, 64], [23, 59], [7, 61], [6, 42], [28, 67], [8, 48], [71, 121], [190, 245], [12, 62], [11, 56], [82, 132], [85, 119], [61, 104], [0, 35], [217, 259], [7, 57]]; loss = 0.011986 low_pass_filter = 0.300
+Epoch 0: | | 10899/? [1:54:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 10900; scene = ['a225f795015d2fbe', '7d28d9be17cc753e', '0a597d7ed9f61b01', '10f3a6c725650d37', '1dca0f5045f2747f', '931bcc26be9e4a7b', 'f5eb784755120303', '753a83da2aac4875', '996449def3195a22', 'a3f309e3f9281472', 'bdab4452012d21c4', '4a8407cf03055f82', '90a88f61bf407368', 'e8bcc2e3fa0b3809', 'e59b5166b2176f9d', '89acd0b6b3f8a2d2']; context = [[1, 36], [34, 74], [23, 71], [24, 64], [5, 44], [62, 115], [5, 52], [92, 143], [10, 54], [22, 71], [36, 71], [0, 37], [51, 106], [169, 210], [34, 70], [13, 68]]; loss = 0.013841 low_pass_filter = 0.300
+Epoch 0: | | 10909/? [1:54:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 10910; scene = ['80dcb25162875c87', '302cb40ec3d8d382', '05de5bf626a48381', '78bb6b90193e06b7', 'e3008ddbedfd257f', '51efd34095f8e02f', '3b88293ca7f95129', 'b053f2ffb587f61a', 'a5472b8884d218dc', '414c283b07ec72bc', '88fcc8d52318f926', '9e5973f672d3a4f8', 'f2ffc71375ee3698', 'd8a10ac5a46cde3a', '8b5c5d28beb6aaee', '964598a02fd77ee0']; context = [[134, 182], [19, 71], [4, 54], [53, 89], [43, 89], [44, 86], [127, 166], [50, 93], [1, 46], [2, 53], [42, 81], [29, 78], [53, 107], [57, 102], [55, 93], [6, 61]]; loss = 0.012737 low_pass_filter = 0.300
+Epoch 0: | | 10919/? [1:54:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 10920; scene = ['6a61530613e80e63', '1e45a9e642f91197', '92bd10e9323fe423', '9112a327c48c8a3b', '7d95f1f59d2c3192', '851eb1bd00509e03', '1293621d66dc4273', '6829cc07eb47cdea', '30424882cc105c3f', 'b9d4445e5b8179a8', '73133fcc576a07c1', 'fec1b08babd84253', 'e0cd677c6327d758', '2e6acc17d9b7c623', '2840317723c97f2e', '651c067fde1abb95']; context = [[10, 53], [104, 160], [6, 49], [10, 62], [24, 73], [33, 80], [5, 47], [64, 108], [211, 266], [21, 67], [45, 88], [61, 100], [130, 169], [35, 83], [22, 76], [22, 73]]; loss = 0.014955 low_pass_filter = 0.300
+Epoch 0: | | 10929/? [1:54:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 10930; scene = ['69164c5325b3fe6a', '8ba8dc3c494ca369', 'dfec9688b2ba99ea', 'ab3129359d7c89ef', '620c929fd4a8bd4e', 'd9e16fde003687b8', '0df5a048d09e63f3', 'dd4843164414a098', '4c132551c14e0029', 'd8580e9d72ac981f', 'cfb20f8971e6a591', '9e5365dde25b7403', '5a2ad43377e9d18d', 'b91dfcb3102d1482', '0e4916077d990d1e', '67e69f3a4701dfd8']; context = [[23, 59], [20, 75], [14, 62], [48, 93], [39, 94], [82, 138], [56, 94], [68, 105], [122, 156], [180, 234], [15, 62], [18, 59], [41, 77], [69, 118], [4, 39], [42, 96]]; loss = 0.018741 low_pass_filter = 0.300
+Epoch 0: | | 10939/? [1:54:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 10940; scene = ['35407cc9ea3924bb', '485cf8f38eeb3c39', '1b0c7b2e662ade88', '51f52754331b5f78', 'c1bbeae38bae48a4', 'e4681a7db4f5c11e', '672a78576696f16e', '53ad8b1a8b798dbc', '35f1351a55e2e95d', '4cbc8aa0b70db3bf', '9d8f15ce70d28c75', '10cdee062b56288a', 'e4d69e87d73f574c', '9579af646646f7a9', '5862391ea26da3ea', '012019df6ff17e30']; context = [[0, 38], [16, 70], [19, 61], [14, 51], [33, 76], [11, 55], [90, 140], [2, 39], [24, 74], [6, 49], [74, 119], [7, 53], [68, 117], [20, 63], [1, 54], [22, 63]]; loss = 0.013112 low_pass_filter = 0.300
+Epoch 0: | | 10949/? [1:55:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 10950; scene = ['9619375d2bef132d', '96fcc6b5f575c36a', '2c6ac0963c11ffc0', '56ff6139546ebb82', '7569b1a23a0c670a', '9ee4108118cb3e30', 'b6b2f105982f9a00', '88083e09dcd71e86', '073556c6f86adb40', 'f9563ef596b8da98', '70208f76bbe5a3ec', '0c356c0a7387d4bc', '4d2c5111281f762e', '754159c603b415d0', '76591f97fbcabbfe', '855c09afe59dfa4d']; context = [[59, 112], [22, 56], [171, 206], [6, 57], [34, 70], [75, 120], [21, 75], [170, 215], [7, 42], [5, 53], [25, 74], [59, 106], [169, 213], [15, 58], [6, 40], [41, 86]]; loss = 0.013783 low_pass_filter = 0.300
+Epoch 0: | | 10959/? [1:55:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 10960; scene = ['4eb5a756e10b6135', 'eb8b522706c90abc', '51558f55181adeda', 'c962356f6909f74a', '6505b95fda3a6fd1', 'b991599a27d51aa9', 'dd811aac95fe2a28', '7418314e76240536', '5e494fb5e1e7b29a', '79a0e8398b6a1cc1', '99953a73e02cf657', 'b14f5a683aba2898', '5be06a710f3fe6f2', '9f06cf0ba2ddd1c1', '210c21e8248a76f7', '53754ca100a3c2a1']; context = [[7, 47], [3, 47], [11, 59], [106, 154], [58, 102], [9, 48], [93, 137], [91, 126], [117, 153], [25, 76], [55, 95], [33, 83], [222, 265], [10, 57], [58, 99], [34, 88]]; loss = 0.012756 low_pass_filter = 0.300
+Epoch 0: | | 10969/? [1:55:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 10970; scene = ['190bc12de60a09d1', '01f0793599666c23', '89bc971b5dfbd294', 'aec942278ff394bc', '0a15372f3b9eab0b', '292b9e4977860611', '4fec9d404cf136d2', '5d56c55814546bd8', '4fd139b53037d3ea', 'ff23eb62f349366e', 'b446b7840e4ac28f', 'aa2197dadd5f5f8d', '443a9edb97b38126', '1e4386d32ed7e8aa', 'ca2f347f5185e4cd', 'f7f6647e5733d3fb']; context = [[46, 102], [189, 231], [101, 137], [79, 132], [109, 164], [24, 79], [34, 90], [6, 52], [99, 150], [16, 56], [11, 47], [55, 110], [77, 115], [83, 128], [85, 132], [12, 64]]; loss = 0.015520 low_pass_filter = 0.300
+Epoch 0: | | 10979/? [1:55:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 10980; scene = ['1c1ab960acf9d1cb', '19e3c281465fb562', 'e49aa75fa0bd7986', '7db28b8c9deb77cc', 'f4f7ba71d2da6fcd', 'f4358bc20a157d98', '37f89e9397fcf138', '9f2b172ef42918e4', 'cd3d777d0d1edb8b', 'f9f371c1f9451052', '78d4e52d3166717c', '44c0fb697990ed79', '1d99b75a8f309f01', 'a5e3080b535de466', 'e3c44c39efde0ffa', '369dfe5f8711b6f0']; context = [[70, 125], [90, 138], [5, 49], [219, 258], [139, 175], [71, 126], [20, 73], [23, 65], [120, 166], [97, 151], [0, 37], [97, 149], [1, 36], [8, 43], [14, 60], [96, 147]]; loss = 0.017228 low_pass_filter = 0.300
+Epoch 0: | | 10989/? [1:55:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 10990; scene = ['4fb170171642a5f1', '622f5f93cf28478a', '80f81a92601ecc6e', 'df538baac0ae8b3d', '826bfb24e4dcb24d', 'f5aeb9de1e33fe73', '1ab1fedaf04d995e', 'a5c4b8df91f1567f', '40d8ab238f652221', '04141e7311b5b776', '63f813f5e1da9722', '41bde7bd3b983de7', '2337d2c8ed62f62a', '53de9a4e07e66c31', 'd3b11ecdf9a56141', '8ec25a24042d4061']; context = [[24, 74], [6, 47], [157, 194], [98, 144], [211, 259], [34, 71], [8, 50], [13, 59], [13, 50], [4, 60], [0, 42], [22, 57], [160, 216], [28, 71], [68, 113], [0, 36]]; loss = 0.014058 low_pass_filter = 0.300
+Epoch 0: | | 10999/? [1:55:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 11000; scene = ['c8d6086fc71e66ca', '5c5c84d490ed6a72', '59029ee2996b0ab1', 'daf86b37910a1654', '8c8885e9f17b9274', 'a4e41a67cc55ca5e', '7cc7880ef69db73c', '417957b82a9dfb21', '236b1ba502dbd80c', '7a7a72defe7bcef1', 'c1ce8750dfdcbfa7', 'bc2e945b1756b46c', '9a372cf24e8024be', 'e03120267bb97141', '6f1705cdf4a6ed55', 'fca4e445c41c1ae5']; context = [[6, 47], [20, 71], [50, 94], [7, 57], [37, 84], [35, 74], [6, 42], [9, 57], [1, 42], [89, 132], [11, 51], [68, 107], [27, 78], [105, 159], [57, 96], [99, 142]]; loss = 0.015721 low_pass_filter = 0.300
+Epoch 0: | | 11000/? [1:55:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0validation step 11000; scene = ['97ef4323919c5e8a']; context = [[33, 67]]
+Epoch 0: | | 11009/? [1:55:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 11010; scene = ['5f682a64a6caef5f', '76371ad725a760e5', 'ce66188412c50cd3', '9adcb516e05d241f', 'b2614462000b188a', 'f610af52915248b8', '2b7c4fc5837a4cb5', 'ee32367f85a7cb25', 'e371f175a43e98c5', '8a53ce8ec1601e8e', '42f231e9226b5764', '224f92dada695b8e', '70b1ccca2fbf002a', 'f918fa4d93837316', '01438569da2803c2', '6c8fe33163da0e0f']; context = [[78, 118], [99, 144], [73, 121], [39, 90], [46, 84], [26, 73], [87, 133], [33, 82], [5, 61], [14, 55], [32, 78], [8, 51], [4, 41], [0, 35], [206, 258], [40, 86]]; loss = 0.015660 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 11019/? [1:55:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 11020; scene = ['d3711afbbda1b025', '5431b4af9712cad6', '2bb321b9192dab92', '9724d02dd7954ece', '7c0f2a743fc71eca', 'cab37a0e45880bdf', '5ee0d7b6fff21917', 'a670ce22b15e4752', '6bea1666cf40aea2', '61b8d6d61f125dfc', '949f54dfbf042a74', '1e5dec4bbf1b25c6', 'cbc03f0f2baa6993', '9caac0a86187d952', '05ea780fd1f2dabe', '120a39431fb42fda']; context = [[1, 40], [74, 108], [5, 57], [10, 57], [32, 78], [6, 47], [12, 51], [189, 234], [76, 115], [8, 64], [35, 71], [5, 53], [15, 59], [26, 81], [9, 55], [52, 89]]; loss = 0.015559 low_pass_filter = 0.300
+Epoch 0: | | 11029/? [1:55:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 11030; scene = ['be27d7753382c1ba', 'f76a4959d4dda998', 'f62db2ed14851eed', '531eb7346128999d', 'f1fae248017db2cf', 'e6ff8c686e29d759', '9319398a68309ed5', '82524d5eded08a37', 'f7bfca3706acaee7', '862f559e6544b4f6', '607189d95ed54ab6', 'e4bbe64f8760c542', '87566ad86aab444c', 'f83aad93553a1fe3', '61e4f28043ada40a', '8c2fc2e12d07c3a4']; context = [[8, 51], [3, 53], [105, 141], [56, 91], [26, 60], [73, 124], [8, 42], [55, 93], [30, 70], [14, 66], [44, 94], [2, 39], [76, 124], [55, 110], [6, 46], [0, 40]]; loss = 0.013606 low_pass_filter = 0.300
+Epoch 0: | | 11039/? [1:55:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 11040; scene = ['d53fc98a3d2e0354', '8c092656a2e5dd1c', '66cb26d49732078a', 'd4838e987d85074e', 'd2f3e6918fead282', '240ad84c83b28925', '9fbb521a4d947ef6', '71d819df647d0f28', '9a8eb979640612b6', 'b04e73f999394039', 'e6ea6d241b13591c', 'b71f1c4d3f3e11b7', 'b06e72eb3136c5e8', 'edd15cbc6844242d', 'c919b0540a5e53a1', 'c944569063a4abf2']; context = [[65, 100], [3, 39], [0, 41], [60, 107], [14, 49], [57, 105], [7, 60], [121, 166], [28, 63], [0, 36], [2, 40], [0, 45], [2, 54], [70, 112], [95, 144], [17, 51]]; loss = 0.012691 low_pass_filter = 0.300
+Epoch 0: | | 11049/? [1:56:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 11050; scene = ['c61fb3734309d031', '57842a9de1745147', '5030c7214de817bc', 'b8176bf54449942c', 'de60b52ac3e7875c', '39bfa783bf8eb056', 'fbfbcba06045cc1e', '56ffb64f1ac704c8', '527eac78ac3e3012', 'edb02105a535094e', '53b2d43b7f2a6077', 'd2025fb25b1b8d42', '4e70f8c8d569f01b', '47d2189b091c3cbe', '4a13cfcfbfbf8887', '1ab82d50c439c6c3']; context = [[18, 65], [14, 63], [29, 82], [42, 92], [63, 114], [7, 59], [45, 79], [219, 255], [48, 88], [40, 76], [147, 194], [4, 45], [134, 176], [36, 85], [4, 55], [20, 73]]; loss = 0.012456 low_pass_filter = 0.300
+Epoch 0: | | 11059/? [1:56:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 11060; scene = ['550290df9ef4abad', '492493bffac6c656', '9ca66a525ab2ecc5', '91d3c116b86c62a2', '0720930f0b3d4eea', '29e647d4d896d68f', '4121156bd171f719', 'c7bac3377e19792e', '03b4b854170c1447', '007525d507d7a6c1', '2ee19b30daf64889', '262a536e25e2ae43', 'a9062255c3e10e37', '46480458ef51b393', 'a5a4762cca8682a9', 'd59ab97b03d1164a']; context = [[30, 78], [0, 43], [17, 73], [39, 73], [23, 75], [151, 207], [2, 36], [12, 65], [41, 78], [79, 128], [47, 86], [133, 172], [89, 143], [127, 163], [4, 47], [2, 41]]; loss = 0.014586 low_pass_filter = 0.300
+Epoch 0: | | 11069/? [1:56:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 11070; scene = ['00a9f110ad222aa4', 'a28f806c4f91b310', 'c39f1a9a73797efe', 'e7db8f8b988dc249', '571c726d284c5fef', 'fc9d80ae4b6f4319', '5d69e869219fef05', '43f5a800c0b89a68', '6e227c266fdbe6be', 'e1d4b9c7b39aa748', 'f801f07cadabddfb', '1e1f136ce68928e4', '0e2268381b97888e', '242a6bb6504da60b', '61e58c0e1e989379', '9c61e0481dbe1643']; context = [[147, 201], [29, 71], [3, 54], [43, 84], [20, 66], [15, 51], [1, 40], [14, 69], [59, 102], [109, 146], [24, 67], [1, 36], [225, 274], [25, 70], [36, 75], [153, 202]]; loss = 0.012136 low_pass_filter = 0.300
+Epoch 0: | | 11079/? [1:56:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 11080; scene = ['ce5d6f2eb6fe1b81', 'f82e61bd6f3b60ef', 'c6e6428a81100113', '9ad1ef56f0d00649', '402bdd40ddbe41bc', '7d5033ecd2b2d52b', '4e0a83430cbe5daf', 'acec9d645a945437', '75ec2472c9bd5d56', '62a63f9fc84b859e', 'f7ed39c1e39f16bf', 'c5f82f4f38798303', '52bf8f0eaf400271', 'e3055f5c8878cac3', '5aea53b7c7dcefec', '88ee0081c73b2c00']; context = [[172, 225], [7, 58], [8, 59], [51, 98], [18, 68], [215, 260], [79, 126], [6, 41], [9, 43], [52, 102], [110, 150], [14, 67], [0, 40], [51, 98], [6, 42], [64, 100]]; loss = 0.017502 low_pass_filter = 0.300
+Epoch 0: | | 11089/? [1:56:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 11090; scene = ['ea0d6a4426f69bcb', 'b24f0b89fe81c75f', '99cccaa6de050ae8', 'bc998a5b3c4bdc0d', 'aae3d38a0c87c7b9', 'fdc5a4c97ea35db5', '035796a705648437', '61152f7f13e6ca70', '976589e1e037f256', 'e44f5c6ad96bacbb', '6dc932b8fa9e45e2', '65e8056ea2cee790', '84e17c90adf82d3f', '7b4d0cb42e1b3197', 'a859d007d39a68f3', '5d5fcf8a69870c95']; context = [[61, 114], [9, 58], [32, 78], [1, 37], [16, 68], [23, 76], [40, 88], [50, 95], [194, 230], [6, 58], [7, 46], [8, 63], [70, 119], [14, 56], [4, 40], [30, 74]]; loss = 0.012506 low_pass_filter = 0.300
+Epoch 0: | | 11099/? [1:56:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 11100; scene = ['8510b5c8030d39bc', '19908be049fdcd69', 'f103dbe8783265b4', '03ccd89f68dc8276', 'f4b69d7fcab6b573', '0029e9169a167c4f', '94ad4dd9d54284f6', '6a2d8b2677f5e627', 'f5ed66ecbc11f168', '0cef8a131f31a91d', '73e584ee20bf003d', '468a367c6bde7be7', '53daa5ea0d4b98bd', 'a6fa40bedfca6012', '04b29f18ba65f722', '1ba3dec845c10b66']; context = [[12, 48], [18, 63], [49, 89], [114, 156], [203, 258], [64, 117], [15, 57], [2, 47], [2, 54], [40, 77], [10, 60], [9, 63], [50, 86], [33, 85], [24, 66], [7, 52]]; loss = 0.013131 low_pass_filter = 0.300
+Epoch 0: | | 11109/? [1:56:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 11110; scene = ['0f0676064db56c56', '90603a5bce11c2ed', '151e0e08ed38e7ea', '9d964899db881b2c', '2645536c2312c35a', '8785cbf4976baccd', 'ac594627880fdbff', '0428a189c6851f5c', '41437dd431c3ee5c', 'e0d0771727087c6c', 'd28a8733293f559c', 'ef63515e69035648', '406fde294fa23770', '2900d72b03228c17', 'e4a42950792173f1', 'ba478cd05917a426']; context = [[10, 61], [198, 243], [217, 272], [0, 51], [21, 77], [0, 37], [27, 74], [32, 88], [32, 82], [172, 216], [52, 96], [30, 78], [25, 61], [75, 112], [147, 191], [10, 54]]; loss = 0.017949 low_pass_filter = 0.300
+Epoch 0: | | 11119/? [1:56:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 11120; scene = ['dd7eb3fbaa5f4f3d', '5f443f2595137e9a', '33e9961fed513e93', 'dd4840f0d5227d5b', 'aa2eeecbd664a892', '46646c26665e3f89', '12c4de84fb2e9389', 'b26c283893ad48bd', 'db84572032e69dc0', 'e4e0a2c744fcabd0', '395b1c86e35e8d93', '466666b6242e3081', '5eeb2c7cd1bd78f7', '24649be0dd272ffc', '409dc0e5cbdbe442', 'ee6e5709a57be759']; context = [[197, 238], [19, 64], [79, 132], [4, 55], [17, 67], [36, 81], [17, 51], [46, 86], [57, 104], [198, 233], [14, 71], [42, 93], [2, 44], [127, 179], [28, 73], [70, 113]]; loss = 0.013009 low_pass_filter = 0.300
+Epoch 0: | | 11129/? [1:56:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 11130; scene = ['e091737fb4587aa5', 'dd395fd1ad8c5dad', 'ce16ba6da405ff5f', '85c3c6ef91de95d1', '9818b445929fc4b4', 'c8a56ef039bc9c4a', '1ec1a98943c2d7ca', '7a29638b2d1a0044', 'f53aabed95a2bfb2', '8fff60029f27f18d', '74e305a72498a65f', '48e2960495c802e9', '39c2cf9a036278ce', '3fd5003b2ddfc76c', 'ff3ecf2ec76ace60', '050248d92269fdd0']; context = [[99, 134], [190, 236], [52, 105], [4, 47], [26, 68], [0, 37], [14, 55], [98, 136], [67, 112], [14, 54], [39, 84], [5, 44], [2, 56], [7, 51], [78, 126], [77, 132]]; loss = 0.011372 low_pass_filter = 0.300
+Epoch 0: | | 11139/? [1:57:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0train step 11140; scene = ['42d4b523a2916051', '334b8ce3a8284d15', 'c88d7508d0194c57', 'c23f64688bd5832c', 'b7707f9169cfbfd7', '5fc9e60c271b9a16', 'ecbe588b1196e1de', '21c78c4ca6f54165', '01f44320dba08f92', '6d484dee4f0c6961', '68276e0a2210a4c6', '2a6060b83b5b422d', '51bfc1ddd9e0e060', '0a4e8851bfe4792b', '35ec7ecaec9d42ea', '8925a3f3b27bd94e']; context = [[46, 102], [26, 71], [49, 89], [11, 53], [55, 92], [45, 84], [30, 76], [27, 66], [44, 93], [127, 180], [82, 117], [193, 248], [3, 55], [7, 55], [69, 123], [54, 103]]; loss = 0.013832 low_pass_filter = 0.300
+Epoch 0: | | 11149/? [1:57:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 11150; scene = ['dcdd2d11c206b940', '5f6dff31cfdd1827', '87b4a6264698ec22', '755a833b56e0f079', 'a7411d99c980c19b', '5747f4b140d83aa4', 'c51f5219c3d09e33', 'dde473074941ed5f', '8f3647ba2a7208d5', '31635ff9a2e3ccc1', '5111c7e2b993a59c', '5671fc8bcb5c086b', '48ea789ae4068f13', '53dd8f88f5a8df75', '4e66b9803173ed3d', 'b8f0921844966f26']; context = [[4, 42], [32, 86], [28, 69], [16, 58], [138, 195], [24, 61], [11, 60], [29, 64], [30, 64], [64, 99], [28, 64], [27, 71], [14, 52], [111, 156], [19, 70], [39, 95]]; loss = 0.013759 low_pass_filter = 0.300
+Epoch 0: | | 11159/? [1:57:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 11160; scene = ['cfc02e74d34eab07', '5a8fb227617bc6e2', '38395e6ce79e835b', '76ce9bd95ed81200', '59645825f18fbe9d', 'abc1f33f4e7ec584', '9d8fce11475b16c8', 'fe80abf4227101c3', '75d2d730966efbe5', 'c2e7a81ba3a9dad6', 'aff3adf77641ddcb', 'ca647128fec496b6', '085190d797be02a9', '1c24b3c0983d6d66', '18061c7463438d89', 'd3a43202508f2f9c']; context = [[48, 89], [88, 123], [177, 214], [91, 128], [106, 161], [3, 44], [39, 93], [0, 34], [2, 37], [34, 89], [55, 108], [143, 199], [0, 45], [74, 108], [15, 71], [32, 85]]; loss = 0.014691 low_pass_filter = 0.300
+Epoch 0: | | 11169/? [1:57:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 11170; scene = ['f6e6f484b06a6cd4', '432de27e612701dd', '0f4cb57608f7af85', 'fb5e94258182b9d6', 'ccd8578b26dbff6d', 'b6c748499853ac32', 'badc48ffdd70ba6f', '7ff07ec9792d6e5b', '95092053d026da89', '47369632665bf0c1', '4ad8e4435e111283', '539fec215113cae1', 'd4905ef311d9b18b', '782374624ce4a784', '24e7fd6a87fbcfbd', 'a96ad8e746757268']; context = [[185, 222], [36, 90], [5, 46], [22, 63], [46, 84], [47, 100], [7, 48], [30, 74], [6, 48], [14, 53], [29, 75], [20, 63], [173, 220], [0, 35], [30, 80], [21, 63]]; loss = 0.015476 low_pass_filter = 0.300
+Epoch 0: | | 11179/? [1:57:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 11180; scene = ['37de3df2a5fe9be2', '90f8155bb721d1e2', 'd12442dc34f4a50c', 'feb5bfece3b46df4', '0373e83164c530d5', '704cdcb7dff6e7f6', '2a96f489344c6a21', '28289a1404a1fffc', 'a4ccd922e6147e0d', '03272d46e7fc37c6', 'd2ef3a33cbe4626b', '82ead84357395d56', 'a61f6deee7d1efd9', '9b96d0f9960bbf1d', '53ca901b4997c856', 'b90df30817c753ea']; context = [[22, 69], [14, 70], [20, 74], [77, 121], [11, 54], [86, 136], [63, 114], [74, 111], [6, 58], [50, 100], [148, 200], [49, 100], [6, 42], [38, 81], [66, 105], [4, 55]]; loss = 0.013072 low_pass_filter = 0.300
+Epoch 0: | | 11189/? [1:57:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 11190; scene = ['873c3591f993adff', '5502f11f9b3165ae', '306235ebe8d8ace2', 'b94a189b3b04d1d9', 'b5e621584bcb03f2', '1a72762814407117', '09dc6ab625b8300e', '8ad3c0bf78be1bca', '77ac7aa4d5b94975', '16751b714cbe4b5b', '50c93bd960c75b92', '93b738bfc565a1b2', '0b249791ba342e86', 'c8b3f810b11d682c', '534a013a4b3faee2', '7ff117de16c1a86e']; context = [[8, 60], [200, 249], [133, 170], [62, 102], [141, 191], [8, 44], [6, 51], [39, 92], [16, 70], [219, 262], [137, 179], [149, 203], [14, 59], [90, 141], [1, 46], [89, 124]]; loss = 0.015475 low_pass_filter = 0.300
+Epoch 0: | | 11199/? [1:57:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 11200; scene = ['b20332a5bfc0c3d6', '3fb1e31ec9238522', 'c0eefd49c90645d1', '197ed0207faf3ae5', 'fd4466c660fbe042', '5d4498bafa0c954c', '31d672601ff1f028', 'e6e9173b2c02d467', '5d99338f571c3e71', 'ae6a7d632401e500', '56357aac9db0ea9b', 'e849fe1abcb6c5f3', 'bb5c97f528f03991', '7c0e6e0e35ceb0ee', '2b6776be63239f3a', '77ec708ec51602e2']; context = [[21, 74], [14, 71], [11, 58], [36, 72], [6, 62], [164, 207], [35, 79], [4, 50], [0, 38], [2, 45], [30, 78], [32, 75], [71, 105], [3, 59], [8, 47], [1, 55]]; loss = 0.018782 low_pass_filter = 0.300
+Epoch 0: | | 11209/? [1:57:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 11210; scene = ['94cdd961dda768d9', '0160440477263b48', '6984b45d6c11667f', 'c9ee1faee53b3457', 'd63d3b781be5ac30', 'b567ccc30732df29', '26af5b5c8a608691', 'f30c65f4705fed5d', '0e6beaff75a2e21f', '53ca901b4997c856', 'b81e3b03979caf13', '612b5d50e7f2c51f', '4f61131422209b7b', '8e8e3cea6ba6435f', '9b96d0f9960bbf1d', '84f93146a3c38ef1']; context = [[87, 134], [96, 134], [15, 59], [61, 101], [228, 269], [31, 68], [68, 119], [1, 38], [21, 64], [27, 79], [82, 132], [4, 47], [28, 64], [2, 36], [21, 71], [26, 61]]; loss = 0.015761 low_pass_filter = 0.300
+Epoch 0: | | 11219/? [1:57:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 11220; scene = ['22304d25ff8fdb21', '57edf016011a8725', '9e7a2c3e91fea1a5', 'acf3f0b89e788b5f', 'def34b505175c879', 'fb2237d2952644ae', 'a21015f3a7e16a16', 'ccc3c526fca2efc9', '22b63b6be3f3992e', '14bbdd46f201f55e', '2103796b5825f13b', 'ba35191f2e1e3973', '97a3306ce9b42e4e', 'd06f8cd99d46cac7', '23cee9d0a7ec0ad4', 'f47bca36b81a39ed']; context = [[0, 47], [5, 44], [47, 86], [26, 63], [183, 231], [9, 60], [87, 129], [53, 91], [24, 69], [5, 60], [31, 68], [35, 84], [0, 57], [14, 49], [2, 40], [43, 96]]; loss = 0.015063 low_pass_filter = 0.300
+Epoch 0: | | 11229/? [1:57:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 11230; scene = ['e5db691627ea5357', '7d597cedae289ee8', 'e93f2d8e5c3e2da3', '842edd33637dfc83', '51c92bbf74f5cf4d', 'c6246a94432e00c6', 'bb7ebd1a4b790368', '66142899889d749e', 'fef25b6e3dd7df54', 'da00b7213105b4a8', '5f11cb8586e71895', 'd86cc1513f0664e8', 'b23d0744a8a448b8', '028130721962d51f', 'ef5884b9fe26c7c4', '7ccc290152046a71']; context = [[36, 71], [11, 51], [16, 66], [11, 64], [0, 36], [0, 43], [6, 42], [93, 147], [48, 83], [10, 58], [32, 70], [14, 65], [88, 127], [62, 101], [11, 45], [4, 41]]; loss = 0.014665 low_pass_filter = 0.300
+Epoch 0: | | 11239/? [1:58:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 11240; scene = ['5a7388a6a53863c5', '95579d00ca4555e0', '361f61d1543775ba', 'c39f05decd5db5f7', 'f44b323a0b3d3387', '03f725b8895fb6e2', '964b5660d29e4821', 'bb7e7bc809e2d50d', '408a5b93c016b9fb', '1c6110bfabe7831a', '6dee367037a10e4d', '7fc314c58433af8e', '3c943f6c213163d3', 'cd79d0de91d6c322', 'd1237f5349508660', 'f69cf3d96e7cf8f8']; context = [[109, 146], [4, 56], [75, 132], [6, 62], [0, 55], [14, 69], [39, 87], [120, 168], [81, 122], [64, 100], [21, 58], [22, 68], [9, 48], [45, 102], [1, 52], [18, 57]]; loss = 0.013489 low_pass_filter = 0.300
+Epoch 0: | | 11249/? [1:58:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 11250; scene = ['0c9b2631e6eb3b4d', '8649586e933c7715', 'cc53eb354f04f9b4', 'a479cdf59a8b898b', '67e81bbe28f8da40', '18d0314631ef255b', 'aeb0310bf069c6b1', '7e1f1a8ea0462d91', 'db251a028af1064a', 'e48be695530a9bf6', '3a9a316b8350771e', '58bd756bebf66e0c', '86200c7934e48f9a', '2c1299d0841d07dc', 'ba4bc50f3e101be7', 'b83523d5a6b0de8d']; context = [[69, 118], [138, 184], [26, 74], [60, 108], [33, 78], [74, 126], [52, 95], [5, 49], [3, 49], [5, 50], [22, 59], [11, 45], [87, 123], [88, 139], [108, 153], [2, 55]]; loss = 0.010934 low_pass_filter = 0.300
+Epoch 0: | | 11259/? [1:58:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 11260; scene = ['08e11b45c331ea9e', '8293c91c983ffd04', 'a79888bb552c7862', 'd0f3843c280d1233', '4a7a158bc511d737', 'fdbfe35f5940d3ad', '3f7c40c559810888', '2edb7ac3009c5f9e', 'dd71da9a017228df', 'cb7487a5189f6b2b', 'f7887b5d47d53d20', 'cb007777cb7dff95', '9794641b7e015578', 'f3135a7492955a8a', 'ea5a39bd855fdd91', '604b0838aa3321c5']; context = [[66, 120], [170, 221], [159, 215], [70, 126], [235, 275], [54, 106], [2, 45], [13, 55], [83, 138], [4, 49], [80, 137], [35, 82], [139, 179], [20, 75], [88, 127], [11, 51]]; loss = 0.014674 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 11269/? [1:58:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 11270; scene = ['246000abdc7aa3c6', '806a90bcf60f7e6c', '4deb9a61dc7ddb3c', 'dfcd88cbc69085a5', '26ab7013632ded77', '6d1ed2233f65589c', 'd9547a0401062a0c', 'd1f1099b0a428268', 'f682063bfeb6c468', 'f3bfcdea86361e1d', 'e37711006fc617e8', '5c160981d97349b1', 'aec942278ff394bc', '89bc971b5dfbd294', '5d56c55814546bd8', 'b446b7840e4ac28f']; context = [[90, 126], [162, 208], [28, 68], [10, 58], [62, 113], [43, 78], [218, 270], [20, 74], [35, 90], [104, 145], [109, 146], [8, 57], [34, 84], [4, 52], [93, 140], [0, 42]]; loss = 0.012273 low_pass_filter = 0.300
+Epoch 0: | | 11279/? [1:58:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 11280; scene = ['fddd3932a05bd07f', 'b96b55b8c3555b8e', '17012903a10284cf', 'cd3c8bf6aecef4ec', '4e7091cfc7cd9bdf', '847e971064ea8f32', '7dff7cc241357591', '523bfe6ab10baf4b', '8cb4470c0c7f0985', '3236b130a75f48d6', '009c0252ca19d76b', '89fd30333a66d781', '2c6fc82128274bd2', 'f44605ccfe673d4c', '7815a0c0228b211e', 'aa89328fd849d813']; context = [[30, 87], [63, 118], [44, 95], [106, 148], [0, 41], [64, 108], [9, 66], [6, 49], [7, 63], [3, 46], [0, 45], [75, 121], [18, 55], [32, 68], [133, 172], [8, 52]]; loss = 0.012239 low_pass_filter = 0.300
+Epoch 0: | | 11289/? [1:58:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 11290; scene = ['596b0aec6dc38dd6', '65b40c140ed34d82', '64752a2bbc8cb8a0', '6dfa5d8b449cfa29', 'e827971d9159f974', 'b1a0e4d6606be6f4', '7f2d5be93f351414', 'e6f06611137751ed', 'f6fd3848b81f674b', 'f5d779a094aae091', 'dd549a909b62ec24', 'b21dab4d75b377e0', 'a8946be78cc27901', 'faf6c0d78caab665', 'b072428b6db26547', '971b496fff5cb3b1']; context = [[5, 51], [120, 163], [25, 79], [8, 64], [4, 59], [33, 84], [115, 172], [16, 52], [4, 44], [31, 87], [0, 40], [7, 51], [4, 57], [114, 152], [7, 43], [12, 47]]; loss = 0.015227 low_pass_filter = 0.300
+Epoch 0: | | 11299/? [1:58:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 11300; scene = ['a06c5145c9419ec7', 'e41d5e0099b0696f', 'd35352a9381704a7', '51d90b37d02bd775', '69e0fa97f9a68c7c', 'db58e56a77e22e0a', '518d383bfd978431', '282251d1ef15c3fc', 'dfd13cc7c237647a', '865d357681dd22f3', '77f88f26419a3065', 'a6bd696e47aba3ee', '28357ccbbe8b3bed', '2653badbfaa18ad1', 'eccf2be869b9e84a', '2aa3c28014bcbce0']; context = [[92, 135], [95, 143], [31, 72], [8, 46], [2, 52], [70, 126], [1, 42], [10, 64], [184, 232], [40, 84], [6, 62], [14, 68], [201, 248], [13, 58], [0, 52], [8, 52]]; loss = 0.013927 low_pass_filter = 0.300
+Epoch 0: | | 11309/? [1:59:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 11310; scene = ['03a09832e1472391', '53d2992e5899c3d5', '5c4acbcb2726ae77', '8625891ed4d0cf38', '347a65acdefb3ab8', 'b7aeefdcf8c006ec', '06256e9ca5d46849', 'ca04de3c55cd1ca0', 'ab88a6b3b387dac9', '84359e8e847ad96b', 'f9c6bef8f2735fef', '714631624aba3b4e', '3d26d392a63a781c', '71c1c052632606d3', '8ef966b685a58bf9', 'bf6b4b934e4ebe0c']; context = [[62, 103], [2, 45], [37, 89], [124, 170], [17, 72], [78, 130], [13, 58], [96, 147], [36, 81], [202, 249], [1, 49], [14, 61], [16, 57], [50, 87], [201, 240], [12, 47]]; loss = 0.014031 low_pass_filter = 0.300
+Epoch 0: | | 11319/? [1:59:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 11320; scene = ['0b2eca97fe7ea73a', '954dc4248a48d085', 'a6f7c0ad0281acec', '738bc6dd5f3dfdeb', '60863ab1ae0f524f', '2a1cb0585368aa0e', '66797d242cb2344f', 'a0a998cf1b8200ee', '6e28284a95ec737d', 'c4f0563ccd54ddda', 'de3b173890a6df55', '875ff9f24364de38', '27d36fd1255aed7a', 'd0bfa2fc0c632563', '9cb8cfd4c82730ed', '0d3b97d42d92ea7c']; context = [[224, 272], [27, 64], [15, 70], [1, 47], [3, 43], [52, 107], [10, 66], [44, 94], [16, 66], [60, 104], [5, 57], [0, 36], [1, 45], [199, 243], [1, 54], [117, 166]]; loss = 0.013988 low_pass_filter = 0.300
+Epoch 0: | | 11329/? [1:59:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 11330; scene = ['1570ebe6dcc16039', '44e3e8bf1a3ee95d', '33f49673459fcb0e', 'e8721dd467df39d8', '87042fddb0b19a0f', 'cd0b66c5de7b7a00', '196e67f35573aee5', '2316b4d8d41df4e5', '179fe929b342c292', 'ca763356c13cda22', '99a53c7f37fe70ac', 'f5cbf62c5cd3d71c', '50e67468797f400e', '7dfc994b1602c1b1', '5b736edcd056b70e', '8666d643641dede7']; context = [[20, 74], [17, 63], [33, 82], [1, 52], [33, 70], [90, 133], [224, 265], [29, 74], [17, 55], [47, 82], [53, 93], [164, 215], [69, 116], [14, 57], [23, 74], [54, 108]]; loss = 0.013017 low_pass_filter = 0.300
+Epoch 0: | | 11339/? [1:59:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 11340; scene = ['d203eea4f23729fc', '40270e82100b394d', '755db31817a105ff', 'da03544efb7bf784', '7fcbef0e18462fd9', '2d6974fa7a7c2871', 'c994611aa0573660', 'a1e39e7698c39ddb', 'c5f959de64603d87', 'a9fbb0320fcd5342', '219b053eeb0e3d2c', '9029857374111770', 'fc1aee35333b6fc3', '409ea1d1ec98fbdc', '2e36b25820d78d6b', '2035595ebba23bac']; context = [[109, 145], [42, 86], [6, 63], [14, 60], [27, 79], [114, 157], [1, 56], [73, 112], [224, 262], [33, 75], [37, 90], [69, 118], [94, 131], [39, 84], [1, 42], [74, 117]]; loss = 0.019934 low_pass_filter = 0.300
+Epoch 0: | | 11349/? [1:59:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 11350; scene = ['28758526bea31c6a', '5c904e07c22d1844', '4be9183be1dec59a', '5ccb3accd82c6936', '4f5c554611708426', '7f6dac45fa208e6e', 'e2020076617f4247', 'eba8aa1b1ae6c231', 'c63b93618c9354b4', 'e3c4633a7dae9e7f', '7eb45c15d8b100db', '96555872a3bcecaa', 'f8381fee65a4081d', '4b8b2a2c1a9fed56', 'ef56fbc67bd82c5b', '64d626f25eedc00c']; context = [[71, 106], [10, 62], [0, 48], [8, 59], [38, 92], [169, 224], [18, 60], [19, 71], [0, 36], [22, 78], [0, 36], [4, 48], [103, 158], [1, 40], [136, 176], [146, 189]]; loss = 0.014535 low_pass_filter = 0.300
+Epoch 0: | | 11359/? [1:59:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 11360; scene = ['2b1617be8567c1a1', '1b360f608911728c', '19135331ae38e95c', '9bc2461e40485c52', '4fd056d18c23b0a1', '8913a77c9f388657', 'a4029616936adab1', '14a04b4cda7ef5f9', '7a23fa2da5188bc2', 'b4e49c04cfa8e5d5', '5dd56196ee851032', '4615200729431cf9', 'a2ca64e40c8e4504', 'f0d2efc6de8d8e8e', '4aa5669dc0c886cd', '3f29b4c36d5cc1dc']; context = [[28, 68], [1, 57], [8, 57], [3, 54], [15, 51], [20, 61], [59, 109], [26, 76], [39, 83], [14, 57], [108, 148], [1, 44], [98, 141], [9, 66], [1, 40], [2, 55]]; loss = 0.013468 low_pass_filter = 0.300
+Epoch 0: | | 11369/? [1:59:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 11370; scene = ['3f08d16d1419ce64', 'ba5e5fb5abf3ed66', 'f76feb4610bb70a5', '188c4d1c3452fd73', '90db803cbda4c4e9', 'b1ac6f21c376eed5', 'd30939bd64212027', '5ad8fd8108ff1453', '70a4150512a6795d', '4e0ea8472bb5c250', '36717a2b0062a25b', '20afa7a8d4e0f4bf', '622dafbeb856b952', 'a31eadf1684fcffe', '6e699ada5d23f8c9', '17bd051dfba24889']; context = [[6, 47], [43, 92], [25, 70], [73, 120], [73, 124], [8, 62], [21, 70], [3, 52], [8, 65], [9, 61], [51, 106], [9, 53], [36, 86], [143, 189], [17, 73], [91, 129]]; loss = 0.013177 low_pass_filter = 0.300
+Epoch 0: | | 11379/? [1:59:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.0train step 11380; scene = ['daa3cae6a1d4e0b7', 'c743936d2901a613', '8cb747ced2369f6d', 'ce79dbb1dbf1a7d3', 'eb680cea4abcc738', '265d3e193c6fe2e8', '0dda3ada5975ddc3', '6df4391bd846bb90', '629be33b9cbbff91', '122c4089a3850b0c', '2e39ad9321c6f708', 'f3daa7d364f722c1', '796ab6cfb1192ac9', '96f03281c30927f5', 'd588ae62f9b649c2', '66b6630688276790']; context = [[62, 97], [66, 116], [40, 80], [69, 120], [69, 123], [35, 80], [7, 57], [91, 127], [32, 72], [26, 63], [26, 62], [6, 42], [13, 61], [123, 158], [20, 56], [13, 70]]; loss = 0.013987 low_pass_filter = 0.300
+Epoch 0: | | 11389/? [1:59:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 11390; scene = ['b32553fa725be102', '07488c7551c1a967', '4c6da61393cd5e31', '705cf9f15387a607', 'c03dae8d29e59980', 'a26a4e80d45ff758', '8bf81bba5bab3b3d', 'e90baa038f233699', 'd9eecbe208f90b0c', '7aa4e4e4d61cd4db', 'dc35c77570c24ea2', '49a2a8b6c115277b', 'a6e9da5f8ea25c34', '9d7337ce46604147', '28a588c2c070a86e', '80d18f8705a70093']; context = [[3, 42], [27, 71], [1, 48], [49, 101], [53, 89], [44, 98], [130, 168], [33, 69], [7, 44], [23, 80], [0, 37], [15, 66], [76, 112], [35, 86], [60, 98], [15, 72]]; loss = 0.016682 low_pass_filter = 0.300
+Epoch 0: | | 11399/? [1:59:57<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 11400; scene = ['e5ae5d0cde455edf', 'f1f2ab311bf11cce', '98b8ce7ec5136f36', '87ae4812a3561fc2', 'ee75648a918a075e', 'c69dafa3925513e6', '95de3fd23a9781fa', '92eb19ba377c51b1', '2605fa738da22f6b', 'd4e2a25798b8bd8c', 'bb257de5acd70846', '2b5827ae7ea29a23', 'da4089450625c919', '5e7fb96b9b2254db', 'bf4e983248554c10', 'd0252dde8512de70']; context = [[124, 176], [41, 97], [42, 91], [16, 66], [118, 160], [35, 85], [32, 73], [3, 40], [111, 164], [32, 86], [25, 68], [17, 67], [42, 86], [136, 179], [14, 56], [7, 43]]; loss = 0.016114 low_pass_filter = 0.300
+Epoch 0: | | 11409/? [2:00:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 11410; scene = ['6af55bff913df3b2', 'aa6ef5b2399f711f', 'f0e30dd78f286d59', 'de3b2ac3db34e97e', '76ff975ff5591c64', '8053040c68f0f399', 'c932e892fbee3ca5', '975f3f466178ad7e', '055c16d76285af00', '8a5989ad160852fb', 'a1de15d31837b1df', 'cb524479156837a7', '06478c4b8a84db0e', 'a38fa7d13b11efa8', '8b700c2734f29339', 'da3ff7fbc613e687']; context = [[37, 84], [23, 68], [4, 42], [9, 53], [51, 105], [3, 53], [88, 142], [18, 53], [47, 99], [4, 50], [7, 43], [203, 252], [0, 38], [0, 36], [38, 84], [129, 173]]; loss = 0.019840 low_pass_filter = 0.300
+Epoch 0: | | 11419/? [2:00:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 11420; scene = ['71b063c7314ecdc9', 'b7b940096bce069a', '9efc4c71d82f7576', '2c8487ab01c71a50', 'd821b84ef7e2c186', '36b937cc3684eddb', '38674e38103d5da6', 'd88b4b2fe304e141', '1bf2ad010fbce70c', '1bd19a79fe682e24', 'c5013e15646dc1f6', '6750ee6f269e3292', 'df1d3fa0c3580009', 'bb14c9ef294f2eb7', '1059df90c1493f93', 'ef0615bf71e28966']; context = [[4, 40], [71, 112], [205, 258], [7, 43], [45, 81], [222, 273], [10, 66], [13, 70], [22, 79], [19, 63], [5, 54], [15, 64], [25, 77], [2, 44], [31, 68], [126, 172]]; loss = 0.015225 low_pass_filter = 0.300
+Epoch 0: | | 11429/? [2:00:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 11430; scene = ['56f34e5d22caa2dd', 'cc08397f41911501', '46098a3607b75cd0', '98d35dadb621cdd3', 'f744455fc964a260', '37311e860b1ef72c', 'ca02713a8a0de9ea', '16e752a0b2952804', 'e41818c1a640f355', '2557e8ffee5d8984', '6c8cd35a8c38bf5d', 'de5195b1d4b5e650', '5d3009a73d9e67e1', '4499414ba3d20eb8', '3670ced044c09f1c', 'd0e490fdc0118993']; context = [[42, 94], [15, 62], [73, 108], [10, 58], [66, 111], [206, 245], [76, 112], [167, 217], [2, 57], [24, 73], [17, 55], [117, 173], [15, 65], [4, 43], [2, 37], [20, 66]]; loss = 0.010278 low_pass_filter = 0.300
+Epoch 0: | | 11439/? [2:00:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 11440; scene = ['cbda17fc7e8a6e86', 'b681aee07eaf04f3', '37b4ceaa6a5ec27e', '0be71613432d3b54', '07e029a9578b335b', '14df881e0bb56d3e', 'bcb6f212ffe46cab', 'ac22f6e38b10a056', 'eec53be04c7fa7bb', '2e6e0433942948fa', 'b103dbafd2c119f4', '95a75f89fb6357bf', '3a6fa2bf8d42d2f6', 'bff9146b1d9f0872', '61d29b571c954e20', '8f5534be509fbce9']; context = [[67, 102], [49, 104], [75, 125], [89, 136], [156, 208], [25, 80], [11, 55], [188, 226], [20, 56], [100, 141], [2, 58], [40, 84], [29, 85], [9, 65], [23, 79], [73, 120]]; loss = 0.012652 low_pass_filter = 0.300
+Epoch 0: | | 11449/? [2:00:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 11450; scene = ['7e8e4fc21d873b5f', 'c3f48d66e8da8bbc', 'e81379351dfd7263', '3101e062e990fb4c', '5ab84da28337a82e', '1e97fe5dfd5c79a7', '392052b37ba1b434', '35c70af801116b59', '25129a03cfd7700b', '46ea38e907a53781', '6a3f470f8e9d66a9', '53907ac8b877a09e', 'd2bd3a3f16cea877', 'd4cbeb25474a17b7', 'b4e19294cf3e2116', 'b4f1e78ec56bbfaa']; context = [[3, 42], [31, 76], [2, 59], [14, 61], [18, 61], [13, 56], [10, 56], [71, 110], [180, 230], [4, 57], [12, 48], [20, 61], [8, 48], [105, 141], [47, 85], [0, 50]]; loss = 0.013458 low_pass_filter = 0.300
+Epoch 0: | | 11459/? [2:00:34<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 11460; scene = ['7042bfb0e28ee794', '5740ea28f40a1157', '5e117ef482f00da1', '04214398e235259b', '707654a8ca3aa0a7', '7f067b4823bd9a43', 'fc57ece472ddc864', '536b5cefc0a1b7c6', 'aa35d43e76151927', 'aba7b99c4394ca34', '55195e8a24c9ad8e', '9b1ca0cfabc4238c', '3cb2ab0426094fbd', 'f9787a326ce6e7da', '490c38e786673c0c', '03236c69ed00c0ef']; context = [[5, 58], [5, 40], [32, 83], [32, 78], [53, 89], [96, 131], [63, 120], [22, 63], [61, 96], [16, 66], [0, 38], [33, 75], [98, 156], [3, 59], [62, 101], [22, 62]]; loss = 0.013015 low_pass_filter = 0.300
+Epoch 0: | | 11469/? [2:00:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 11470; scene = ['bdeaff855b8d4e90', '1398d11444d85b92', '94aa5fd022f4400b', 'dd152cc506ed208a', '2cd3fc4ad8daeba7', '6cb4ac9555d8dfb2', '459769ea9bf3d783', 'af3a65a2494dd781', '1a2dab689da1e13a', 'd95cd751ef6f4bc5', '15a53ffb8b43d9ef', '0c9eb9638aa20481', 'fae8dd2a73485eb3', 'fd797c334015e71b', '65ec962651b85a4a', '82c1c8656f684b1f']; context = [[45, 95], [12, 62], [76, 119], [24, 82], [21, 72], [11, 66], [7, 42], [65, 116], [2, 59], [33, 87], [0, 48], [70, 108], [3, 47], [14, 62], [19, 70], [6, 43]]; loss = 0.012545 low_pass_filter = 0.300
+Epoch 0: | | 11479/? [2:00:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 11480; scene = ['4f8e3874b212dd9b', '49556a452285c7f2', '8f2e87ec71302d8f', '35080b22e13003fe', 'e6376b103a6c3986', '90bcc3b4b3d551a8', '7b75987a8ab680f7', '5b5e821ccc9f6b3f', '0aa115d6cc433eec', 'e5ef6dfdcbcf430c', '0c4ad6f7363c6dbd', 'ca39898dc82ac69d', 'c42c6d551c4c4d62', '398ea56207849e42', 'fe2df6a236f5bc79', 'a3416994d313fdb3']; context = [[1, 53], [198, 247], [80, 120], [10, 56], [159, 198], [100, 147], [90, 133], [8, 50], [36, 94], [46, 85], [19, 67], [96, 134], [89, 124], [6, 51], [14, 62], [16, 54]]; loss = 0.012982 low_pass_filter = 0.300
+Epoch 0: | | 11489/? [2:00:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 11490; scene = ['e9d8314a8d2d8dc2', 'f763314077dee3f9', 'dd315dbacb3d14af', 'f8e8aa4850d3463b', '80cef9332c5c91c7', '9b0cc25536e4bee4', '52d8989a74a35e76', 'f02ac87191a94f65', '346afdcdd046633a', 'ae8bc0141db29362', '8337ea841729afad', '84f1b2387fb4ed36', 'fb0239ef9a6badcd', '8ed6bd5510e508fa', 'b34dd66d4d3ce335', 'a80cf6ebbcc8c567']; context = [[22, 73], [0, 37], [60, 112], [92, 133], [17, 62], [32, 81], [3, 52], [222, 270], [58, 96], [132, 174], [155, 195], [8, 63], [49, 107], [9, 49], [45, 87], [41, 87]]; loss = 0.013882 low_pass_filter = 0.300
+Epoch 0: | | 11499/? [2:00:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 11500; scene = ['d06f8cd99d46cac7', '6555b0009dc14e0c', '2103796b5825f13b', '22b63b6be3f3992e', 'e30a1e34da77a86a', '97a3306ce9b42e4e', '1abe4c0d5c5989fc', 'a3573e9f4346aa7f', '0978d7105d3262a5', 'd8481651acc76769', '3116d924654c4dcf', 'ef148eba57056ecd', '85e953b1591ebb26', '40ae3dabcaef1d75', 'ff9cdf0d622d570f', '65b134ccff0da535']; context = [[75, 115], [30, 75], [25, 70], [44, 95], [16, 70], [22, 63], [192, 246], [15, 68], [42, 82], [10, 64], [211, 258], [31, 70], [25, 73], [106, 141], [29, 69], [21, 72]]; loss = 0.014745 low_pass_filter = 0.300
+Epoch 0: | | 11509/? [2:01:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 11510; scene = ['5256f50e8e552cc9', '9f02bee6ee218516', 'ce6642a1caf5f72a', 'c815c32d584db109', 'e12f36a5b5264daf', 'af418ffab959eb5c', 'f2924272cc84b16d', 'c9408e8e90811892', '7cd557781282258b', 'ae04205e9b82fb72', '3d28451476ab9d9b', 'aa0ed758dda2cd7d', '0df0d2b8a2951f0a', 'c5e6f314de1b56f5', 'a1569033155dc826', 'eb7c7a3cabdebb09']; context = [[0, 36], [10, 59], [65, 105], [57, 110], [5, 45], [24, 63], [102, 143], [12, 47], [69, 111], [46, 82], [71, 124], [7, 63], [16, 55], [35, 79], [42, 92], [5, 48]]; loss = 0.012342 low_pass_filter = 0.300
+Epoch 0: | | 11519/? [2:01:12<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 11520; scene = ['2b7e5652a1a7cfa8', '19b3dcdb5298d93e', 'dd9a17d0096c2303', '9f44bde8f7dcf62f', '461a21cc0d33eced', '890224694b0d3646', '7e653b80e209ad00', 'ea4503184dc8ab99', '9759e7755e825784', '3291a7e78e54162a', '7f08598eb9ef1c0c', 'f6049e9206445781', '6ac9d0169349be5b', '462bfd1b62b6cb54', 'a77535785a79e60a', '556296590f552c92']; context = [[15, 68], [46, 92], [168, 206], [0, 36], [61, 113], [23, 76], [5, 40], [3, 61], [57, 93], [88, 140], [20, 63], [67, 114], [114, 168], [3, 44], [37, 79], [33, 85]]; loss = 0.012075 low_pass_filter = 0.300
+Epoch 0: | | 11529/? [2:01:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 11530; scene = ['93ce775b91288252', '4b95a6a4485a9684', 'd0f4f1c4157d67aa', 'd51a5f3f6dd9f3df', 'd34e6f770d5be502', 'c9073667ec83abcb', 'af8d1f77be2d8bf2', '8c0235ac1048ca32', '7eecf8d8b64017b1', 'e783de3eb3d285a0', 'd2e14852ad022560', '80a6a796ecd278ae', 'cc27844b3e7285dd', 'd7805a00c89f9ed4', 'ffe28a6d6696278f', 'e2e4304fd1ab08bf']; context = [[0, 41], [47, 104], [25, 63], [36, 76], [33, 82], [16, 53], [55, 108], [39, 74], [2, 44], [16, 57], [7, 62], [23, 75], [30, 68], [41, 77], [8, 56], [42, 86]]; loss = 0.011159 low_pass_filter = 0.300
+Epoch 0: | | 11539/? [2:01:25<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 11540; scene = ['4219aa8a08f91efc', '29ec1cdce3773212', '52c56b2d23539cb6', '3c4bc72a79c67319', '5dc2458745ac4f7a', '90315abc4bf86c86', '1219a58b37007b1a', 'c4874263cf3db05d', 'b51d563eda82f6fb', 'a32094abd3d9859f', '2c1b4bbf79a3aaef', 'aa8aacb5df95e356', 'ba478cd05917a426', '73abd5048eb254a5', '74e30a73a5c11c30', 'c2fc6ef65cb36488']; context = [[98, 151], [55, 106], [5, 59], [31, 69], [45, 100], [59, 104], [13, 71], [20, 55], [14, 65], [24, 75], [187, 231], [90, 141], [3, 57], [32, 84], [9, 57], [165, 208]]; loss = 0.017762 low_pass_filter = 0.300
+Epoch 0: | | 11549/? [2:01:31<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.0train step 11550; scene = ['e4d608a4098c9b88', '0ae1ad86765c714c', 'f89073796a1eb7d4', '6e7a6ed3e8593e75', 'f0f815ffa7581003', '63f3399469a802f7', '79d5ea6cd3f0fdb2', '550411cdc1322414', 'f97c2793d856bf9a', '1b4bf668832e3786', '40ea50b25d5808fe', 'b86f3ce1bbc34571', '96ee7fc11117a67f', '3be599773b6276d3', 'd2de8aa86cea4852', '15209b5fbb6b8b46']; context = [[32, 83], [88, 138], [24, 73], [3, 48], [130, 168], [117, 162], [56, 102], [201, 237], [54, 98], [1, 49], [60, 95], [7, 63], [17, 64], [74, 122], [80, 133], [186, 227]]; loss = 0.010978 low_pass_filter = 0.300
+Epoch 0: | | 11559/? [2:01:37<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 11560; scene = ['2c8f29da6c182e82', '26c2209bf849e0f0', '7418538ade81e503', 'b3d77aa21637ed06', 'a126745e68e4fb16', 'b7b3c6a2d1d6dc61', '0a3f340cb783c83f', '1f9c765582d1ffac', '3cd73f5f79d0989f', 'cfcadf0fe447c04d', 'cbd3d399620c0c8b', '5e8bff39dc5bab67', 'b86430392968f970', 'ee3f3bcb1009b7b9', 'c40eccb3fc4c29da', '2bedce9198d2994d']; context = [[27, 83], [98, 133], [70, 123], [15, 65], [57, 97], [13, 71], [37, 82], [9, 44], [28, 70], [8, 63], [6, 44], [14, 72], [40, 90], [42, 91], [103, 151], [3, 59]]; loss = 0.012656 low_pass_filter = 0.300
+Epoch 0: | | 11569/? [2:01:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 11570; scene = ['0f5abbb7e9e13751', '223c174bc6709501', 'e951fc5b6d016a27', 'cf543fb043aa47f6', '2d9ee899b8de1751', '38e0db8951f3a541', 'fa3512cc1d8cc893', '8082c23975ed106c', '42db3d96c3629828', 'd0e19f4dfeb27a7b', '48cac3e183debfc5', 'f8902ae83b7ea77c', 'ced35e0a27231801', '61010afb2d32b1fc', 'c47c3aa0e05e289d', 'ccf31703e60be2fa']; context = [[118, 158], [99, 138], [43, 83], [19, 62], [111, 152], [121, 178], [0, 41], [9, 57], [135, 190], [11, 54], [4, 51], [30, 72], [7, 59], [29, 85], [39, 97], [36, 81]]; loss = 0.015482 low_pass_filter = 0.300
+Epoch 0: | | 11579/? [2:01:50<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 11580; scene = ['e78668ecd87257dc', '5b511f6b48cdb84c', 'b7cc7c503b10b878', '45677926c908e6e5', 'd3416f0ed06a7ad7', '4700b4a628c6131b', '93fac9602a1702de', '8db206b0faa1b032', '86ddb8cd0b6f0741', 'b5ad3c2c360db727', '96fcce02a7674e02', 'f5934f621b0a002a', 'fb331a491ca2e5e0', '5019925808a59723', 'ecc88f03e2e5ef81', 'aaa8dfa7e8498bd9']; context = [[12, 56], [112, 161], [14, 50], [42, 90], [0, 44], [64, 103], [23, 59], [23, 62], [4, 47], [47, 98], [152, 193], [16, 60], [46, 92], [108, 158], [149, 185], [107, 143]]; loss = 0.018492 low_pass_filter = 0.300
+Epoch 0: | | 11589/? [2:01:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 11590; scene = ['6ab869711e65a527', 'd84372dc915c95e5', 'f93b66aff97fc215', '3b6c0832b0286bf1', '2ff7da19974fe593', '996074b95549ba5e', '28039ea78b84ff46', '3a20e5e7dffd7be2', 'eb8cabefd2b8e5e8', 'd6f963473691d5bc', '75863b2203d61a51', 'e5fcd9490d306b0d', '63e0f8eb0bc7a74d', 'e820844df0b83918', '404a47d74c89b6a0', 'db4ff231d9dab8ba']; context = [[2, 52], [18, 55], [15, 53], [1, 56], [4, 42], [2, 43], [79, 114], [89, 130], [19, 64], [34, 84], [15, 68], [2, 43], [100, 145], [8, 64], [20, 78], [88, 133]]; loss = 0.013686 low_pass_filter = 0.300
+Epoch 0: | | 11599/? [2:02:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 11600; scene = ['08659bc98e27705f', '13fdad4079bd4b9c', '643c59587f0c6ace', '17520c287d5e4c23', '83421bce3bf38f91', 'de552e2c5d1182db', '774bfef93b3553c4', '9bc1c2f13f879d20', '24545052613dc153', 'e3267e9b09ec78be', 'f8e31bdfa5062680', '3e8b48b14798f1b9', 'c6cb7394690cc9e0', '47b3e5d4b3b534e5', 'fb0040c94bea2a4d', 'd33be1bdf678f485']; context = [[9, 59], [10, 53], [11, 67], [51, 95], [0, 40], [0, 44], [69, 113], [88, 124], [9, 59], [109, 150], [44, 80], [150, 205], [1, 43], [0, 47], [59, 115], [7, 64]]; loss = 0.014320 low_pass_filter = 0.300
+Epoch 0: | | 11609/? [2:02:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 11610; scene = ['f5f225a43fcecd0d', '446933c7668779a4', 'f179064b7a845fb1', '8055c456d35e5747', '6ea3f9ffb32ea267', 'da1d055a8426b8d8', 'f5c8406a588131d5', 'd0b938803065b0f7', '3ab9b7649181c36f', '8ed0d973443d12a5', 'db68fe38527e7ac5', 'fcf546a53fb77c04', 'b8781f450d0adc80', 'f9ad78bc372c9708', 'acc674156e787244', '36bd4479d165593e']; context = [[90, 142], [9, 60], [37, 80], [8, 43], [3, 61], [99, 134], [23, 78], [3, 52], [34, 72], [114, 162], [29, 82], [8, 66], [22, 78], [22, 61], [1, 50], [32, 80]]; loss = 0.015639 low_pass_filter = 0.300
+Epoch 0: | | 11619/? [2:02:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 11620; scene = ['1816700e1e0c06ab', '59d56f19ca77e129', 'e61ef9ab159f696f', '1916ec563ca4d9b6', 'e9a018b75e1c0ee9', '6f9c7ad031578758', 'b1bcd4d05a8ff3e0', '8aa71060eb2a7298', 'bc5c89ccb8b60ee6', 'ad5885cdf02ba3aa', 'f98504942ac68c3f', 'ed630e62a6088733', '36348ea97b54d0dc', '7412ee5ec63b670b', 'de79673c9bf18a07', 'ad8515c821075061']; context = [[166, 202], [1, 49], [21, 68], [8, 58], [222, 269], [78, 136], [52, 101], [3, 60], [26, 77], [15, 65], [138, 190], [61, 96], [14, 61], [71, 120], [65, 117], [12, 54]]; loss = 0.014185 low_pass_filter = 0.300
+Epoch 0: | | 11629/? [2:02:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 11630; scene = ['2c5c9aef393cdc1c', '840549e3e9a07463', 'aecce044f2067ac5', '1b94ff23d213ff95', 'e7da917d11d5cd1e', '0be7ab3df88c9c6e', '240037205a68904c', '9c7f566e1aa31a8b', '36e1163e28f2bfed', '5e05a3bb4a7b2408', 'b30bae372ee0cb0d', 'ae5102a2fddf072b', 'b73c82a030426b3c', 'b02e382c90afbda7', 'eece18309729d1f1', '90a1c5e227743bdf']; context = [[16, 74], [71, 124], [43, 79], [70, 126], [25, 79], [135, 183], [69, 105], [61, 117], [3, 52], [10, 53], [4, 57], [41, 97], [34, 85], [50, 92], [186, 225], [56, 100]]; loss = 0.014736 low_pass_filter = 0.300
+Epoch 0: | | 11639/? [2:02:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 11640; scene = ['bdf6f6c0807347f4', 'ade2239a68449d67', '220b62de47666b49', '1ac6ab443125ad84', 'c7b819e80dc25687', 'e51b9d505cacaa3d', '034e4f9e2b30a3ca', '9087cdd4baa858d6', '470f6a9cdba0a1d5', '95cd28864a17ccca', '97a236f849d3043a', 'd1fa4e26c8e5d32c', 'b9ffdd6786ddc018', '0eb569a5be0c965c', '299df18f61e685c7', '75f00f8813c7a3b1']; context = [[17, 65], [2, 53], [103, 160], [19, 65], [9, 50], [12, 59], [9, 48], [34, 89], [129, 168], [123, 162], [47, 84], [13, 64], [51, 98], [37, 95], [33, 87], [165, 216]]; loss = 0.019032 low_pass_filter = 0.300
+Epoch 0: | | 11649/? [2:02:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 11650; scene = ['1ada59c60493eadf', 'cfbdbd0741d7ccf2', 'bdb1def809344e74', '556d6438f2944d8e', '96fc7df8429f0a78', '187dc698e9442d85', '846b2e322d7cc9dd', '07984aaae089508f', 'e15edf23057a8d22', 'f347ca4a0926a967', '0c319081d6fdfa8d', 'b999e8b53f9bda12', 'abebefeb0c4522ad', '72362c36b8dd8087', 'ef11eb76ba318a0f', 'da4deac373a366be']; context = [[0, 46], [51, 100], [25, 66], [13, 53], [31, 72], [0, 44], [127, 185], [12, 66], [15, 70], [29, 66], [26, 79], [0, 52], [0, 55], [110, 154], [2, 38], [115, 171]]; loss = 0.015533 low_pass_filter = 0.300
+Epoch 0: | | 11659/? [2:02:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 11660; scene = ['4fa8ea842dc6c780', 'f4c904d6fb4a2fa2', 'df5ec669a18bd867', '2d3988d0393222b0', '9490f47618eac025', 'e4f99a9aaf261844', '57defd7d138f09f9', '77d020db1dda0515', 'e891c0b9f2a7d880', '2e1c9ec1ca255a16', 'a588e1cebdfb4b13', 'ea549f4f1346bd78', 'a9c74aa59d6a1b47', 'aea87b7cc45be423', '5cdb1885cfb02fc3', 'ae2c33fc435d7613']; context = [[150, 202], [91, 147], [63, 114], [16, 51], [70, 127], [54, 108], [19, 61], [33, 76], [74, 111], [202, 246], [144, 190], [52, 93], [41, 76], [103, 147], [46, 103], [48, 98]]; loss = 0.014530 low_pass_filter = 0.300
+Epoch 0: | | 11669/? [2:02:46<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 11670; scene = ['70f3055bdf9f1a76', '9c77cb4edf2300b0', 'a269ffcb594a6ef7', '39d85773336cae3a', 'fd73259e7c2801e8', '9753a8291766b5da', 'f73d742233a2f5a4', '5d0df71c937002ef', 'd8d10da8948e5676', '1633b78ec0661e10', '8e9800f2eef52cf9', 'e3f8c8880b5884c3', '0548de5024c713a4', 'c7eedc91db747c3a', 'a0114e2b6cd504bd', 'f3892c671668deb5']; context = [[56, 96], [98, 147], [50, 89], [17, 62], [8, 65], [43, 88], [39, 95], [48, 84], [23, 61], [18, 54], [13, 68], [6, 41], [4, 42], [82, 126], [205, 242], [146, 183]]; loss = 0.015646 low_pass_filter = 0.300
+Epoch 0: | | 11679/? [2:02:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 11680; scene = ['63982f095d5089b0', '4359a06de608247b', 'f4279ea4e3468e86', '0e0bf14b6085e811', '9da1fa15af1eae3d', '1f091d8458c5d83b', 'cf6fd75ffa40dc50', '4da36973de5227de', '5ae14b01a500682a', '3dfdd773f0a7cf2b', 'b3c96d2c36c94425', 'd27399ddbb98483c', '3670d3f2b5b53c15', 'a74acf99e81d7a6e', '3d7f5076c683cc80', '0836698809f746c6']; context = [[13, 54], [2, 59], [240, 277], [3, 60], [82, 126], [37, 77], [149, 194], [46, 88], [125, 178], [3, 59], [143, 181], [42, 93], [59, 117], [90, 148], [99, 153], [25, 61]]; loss = 0.015073 low_pass_filter = 0.300
+Epoch 0: | | 11689/? [2:02:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 11690; scene = ['dacdbfb398ff5f6d', 'a6e57377594a7a40', 'f70bb4d0420a0db8', '455616306ec6b0ed', 'f5ea225f5c7fc039', 'd1a6d6a046f37dbe', 'c53eb8ed399c3598', '507b9f1675988055', 'bda51613b8944e3a', '15f89ff3e4a8ddf3', '148d73d25691beab', '79632305e38f4e61', '931437c7f8178635', '08c6d6ab90e6b86b', 'd67ff3b1493cf038', 'e313fc42cfe43a81']; context = [[229, 275], [23, 68], [90, 137], [123, 158], [95, 142], [3, 51], [24, 78], [60, 106], [88, 128], [37, 94], [2, 39], [61, 107], [81, 128], [2, 56], [104, 154], [103, 158]]; loss = 0.014812 low_pass_filter = 0.300
+Epoch 0: | | 11699/? [2:03:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 11700; scene = ['0e41e1856a93f081', '8acbada3de9d0256', '8c511adfe1edf981', 'f5a173954e586775', '7157599e110e23d1', '1caeaf11a6686a6c', 'e246fc179798ef43', 'ae468714e3fa31b3', '348f41557b28f27c', '5e00fe8ddb44c346', 'feeef6e1343ba933', '6d5b5729fd856041', '4c4fb804144e8cc0', 'be5485624e33be91', '65459c55dbe18f31', '2b6cbde5be5750ea']; context = [[33, 87], [191, 232], [81, 128], [52, 87], [108, 165], [8, 60], [23, 68], [32, 87], [43, 100], [6, 60], [9, 50], [58, 108], [51, 98], [0, 35], [24, 81], [77, 121]]; loss = 0.014271 low_pass_filter = 0.300
+Epoch 0: | | 11709/? [2:03:11<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 11710; scene = ['6c74218cfa8488af', 'e106d864e50c158c', '29ad7f2d5b0f798a', '7c6d4de848377911', '50c9b910f6706ed5', 'd12ba3a2ac78cfb6', 'd36fc8d3f149522a', 'f00cff8f4ae371a4', 'c047d0dbbfde98e4', '1fd4fba41c85f3c9', '9f655edf6923e6cf', 'a97eef4d4e9f345e', 'cbbd98e0f99af188', '53b0a4720f4912bd', '8c311d826f923a77', '54e91a756a41c2df']; context = [[18, 69], [45, 81], [24, 63], [82, 120], [134, 172], [9, 64], [132, 174], [7, 61], [35, 78], [41, 94], [31, 76], [0, 39], [54, 109], [100, 141], [148, 189], [7, 55]]; loss = 0.014794 low_pass_filter = 0.300
+Epoch 0: | | 11719/? [2:03:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 11720; scene = ['73b0f5e4d3c173f6', '184995ceac7aa6b7', '802520a7ddfd5f22', '84669dc88abb2e9c', '295bb11f848613c1', '0e12847a03d29c75', '7f04e2db1a0194ef', '2fe65762fe742c92', 'b6a00c02405f91c9', '31faf11f780fd4e2', '943ba380f930ba42', '386946683ab3f8b6', 'f3ca83f9f1a724e5', '9c40bd34bf257a2f', 'e36703ea5319facc', 'c36502c018662df6']; context = [[189, 228], [31, 82], [16, 62], [22, 69], [5, 45], [79, 130], [70, 106], [43, 79], [14, 65], [73, 116], [3, 44], [76, 131], [13, 63], [116, 158], [1, 41], [43, 85]]; loss = 0.012776 low_pass_filter = 0.300
+Epoch 0: | | 11729/? [2:03:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 11730; scene = ['83665d0876a5d160', 'b9c06ec138f6df7c', '086b3277600bd40a', '1f94163ee183ece1', '1f38948643ec28d6', '6a53e6a7ed8c0962', '694f18afbbd5adb6', '6ca53d2237ce8190', 'afe60df4177475af', '06b9932e33d2b0c2', '2de8c4e05ecaede8', '8b303d2bdf4ff564', 'e204d13ff4cb3a75', '5d827aedb6743c14', 'f39a34c3d2120f0c', '5493a576b9b38a2c']; context = [[5, 54], [113, 170], [11, 69], [26, 70], [114, 168], [0, 38], [0, 56], [52, 90], [17, 64], [6, 53], [46, 99], [8, 51], [23, 61], [5, 48], [94, 147], [16, 64]]; loss = 0.012916 low_pass_filter = 0.300
+Epoch 0: | | 11739/? [2:03:30<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 11740; scene = ['a13738cd18ccac94', '2b922f0b36ba3a2e', '560f67df7fafa36e', '583c2b585e8711ec', 'af7732b7049480b0', '30124191dafb3383', '1c713c10ecf5a0c9', '4e364784e83500b5', '2d3fccc84e8dd3f4', 'f4020f90115a2b8a', '51835ff828009889', 'dfd0b51eeec3e9d6', '5dd26c5a45c5e40c', '05f18e7816df2637', '3bcc68a17953c75a', 'aa43846bd2c5e3bb']; context = [[15, 55], [19, 62], [32, 73], [18, 63], [85, 142], [22, 58], [9, 59], [11, 66], [147, 201], [185, 238], [43, 85], [17, 64], [73, 128], [105, 154], [138, 178], [68, 109]]; loss = 0.012516 low_pass_filter = 0.300
+Epoch 0: | | 11749/? [2:03:36<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 11750; scene = ['80f913eea2bbcab9', '8e579ae74128297c', '5c0bbb148984365c', 'c87f2a76ba016064', '79fc8c8327fdd797', 'ee47d21c4fe6fe7b', 'a27e4ed0659b4710', '6e9f0df7451bc842', 'd67b9d78d72e8afb', '050adb5ab07ff381', '1d76c3d341a60952', 'f83523465592a970', 'e9f4b008fc5b70c3', '32499509bb075446', 'f84b1a9902b54c5f', '02a0ccd1bd1a7696']; context = [[1, 37], [29, 64], [10, 68], [62, 103], [121, 164], [144, 182], [33, 89], [10, 57], [26, 73], [7, 56], [53, 105], [231, 276], [22, 69], [40, 82], [4, 58], [75, 130]]; loss = 0.013714 low_pass_filter = 0.300
+Epoch 0: | | 11759/? [2:03:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 11760; scene = ['4f1d72fb5ebfe89b', 'e1389d013972ecd6', '295109e54ff205e6', 'aa19116be3e3d160', '88c3cde533ce9250', '92f50755932da2b0', '1a20aac3a317d67e', '62560eba3ba6f77a', '9beaef3924b260b5', '231964ce719fed4c', '0a3c5ae29bf2cb59', 'ed6c9a5913622c3d', '4705db5f75ab548e', '41986a305a19ca1d', 'c577c31302675f04', '55ff5f5024b9f532']; context = [[6, 50], [93, 130], [18, 68], [0, 38], [5, 48], [64, 119], [33, 81], [77, 124], [80, 131], [28, 69], [30, 84], [86, 131], [178, 234], [80, 115], [93, 133], [6, 53]]; loss = 0.018228 low_pass_filter = 0.300
+Epoch 0: | | 11769/? [2:03:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 11770; scene = ['629e4849c3d26620', '4e51832db28d7a2f', 'fde72c5779d294aa', '08e8d767c22b2f76', '3f5a3f57adf8a7da', '46aef4912a548d21', 'a69c46f6bf343d2c', 'b9f12695db134381', '6679f59d495204c0', '56ad056b9b6bf22d', '89eebf1d7befa3d8', '6b5508cc07fd8bc8', 'b2b7ba2a00b3c623', '7d454aa1c9674e38', 'daf44b5f84ad4509', '922a0e455b8fc98e']; context = [[36, 87], [4, 49], [111, 162], [48, 85], [51, 89], [138, 186], [36, 81], [0, 55], [32, 83], [40, 88], [18, 71], [1, 41], [21, 61], [22, 58], [26, 73], [2, 44]]; loss = 0.015006 low_pass_filter = 0.300
+Epoch 0: | | 11779/? [2:03:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 11780; scene = ['d53b14150b881c2f', 'e30dc2f3edeb623d', 'f0ed19231f1ca1b4', 'ba556b71933a8f2a', '606b22ad1a72ec2a', 'cfe7b0e24f9dc8e3', '61491d87e3e6ca60', '582179e6a58732db', 'ec50fa67a550aa17', 'c5197c6f18fcfab7', '349738c773f1af23', '81200ff43940ce90', 'd77ffc6a0bc1b514', '034a57b1ea3c8ca9', '053ae5f5b93b1d20', 'a983f9bbf8f45e19']; context = [[2, 44], [24, 60], [102, 159], [7, 58], [36, 71], [15, 65], [19, 61], [36, 81], [61, 111], [182, 233], [84, 131], [52, 94], [0, 43], [48, 95], [94, 140], [141, 192]]; loss = 0.013336 low_pass_filter = 0.300
+Epoch 0: | | 11789/? [2:04:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 11790; scene = ['2bae15c9bc833a3b', 'ba8b46a03c44a6c8', '3e728ab85f6d379a', 'c51824c9e0819b7a', 'c4486fea610e2997', 'ba892f5e3631896f', '6998b51bcccaec89', '2b1474ef6b7f54c1', '2d0f0343858859ee', 'cb25459349f37a83', '9776b8ac431275ab', '424e64ba64d8fd42', '0c2960b2659abe55', 'fd840aefa49b09d3', '74001972901b7a03', '31bdd3ef9c2cb639']; context = [[61, 103], [28, 83], [10, 57], [17, 54], [103, 140], [44, 99], [13, 69], [31, 89], [14, 55], [78, 122], [26, 71], [13, 57], [24, 70], [12, 67], [38, 90], [2, 49]]; loss = 0.015664 low_pass_filter = 0.300
+Epoch 0: | | 11799/? [2:04:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 11800; scene = ['eb8cf09366261059', '469851b0a8d554c8', 'dff4d6192ffd1042', '89a9e39e205dcdf5', 'ea194405414b27e5', '9757e5d3f5898474', '50321b969aeed936', '563209f8f6fa0856', 'ad8ed44bc4adc65f', 'bc9ed05d37d20268', '547dec9fc8a486aa', '32449d5801444b95', 'fc15fd0a7d1bd1b2', '41868518745c4b75', 'fb56af60d6f44825', '0c30cc66e004912a']; context = [[22, 58], [0, 55], [32, 70], [122, 169], [101, 153], [142, 193], [17, 55], [25, 65], [6, 60], [46, 85], [73, 122], [21, 61], [34, 70], [22, 60], [99, 149], [75, 125]]; loss = 0.012867 low_pass_filter = 0.300
+Epoch 0: | | 11809/? [2:04:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 11810; scene = ['3b8ba0075b0ab75b', '37b593ab757771b6', '519ee1fb2d68f039', 'c331ebdb898c377a', '4e01092da9625335', '5bbda319111f9dea', 'cbc71a203e10b3c6', '49dfcdea956c0fba', '33e683233a6f972c', '8c6280ae05871d49', '4d0e0a79d5d2b83e', '2effe89a7d56545c', '5ca1a8ea53457a46', '41ea521aef121c25', '9426fa1b0ae38a34', '3bc2111ee56bb976']; context = [[180, 221], [4, 51], [78, 122], [41, 80], [23, 58], [128, 165], [57, 108], [114, 165], [2, 53], [38, 74], [65, 103], [136, 182], [4, 45], [84, 120], [3, 52], [0, 37]]; loss = 0.012715 low_pass_filter = 0.300
+Epoch 0: | | 11819/? [2:04:20<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 11820; scene = ['72c9e010f8e37e8d', '421667feb0be923a', 'c8b5a79114b9d356', 'a1569033155dc826', 'a2c06b7195565fe8', 'f7a547b8137293e1', '796f9cc544565921', 'eb7c7a3cabdebb09', '0c7109f0c724b646', '3e9b55a6888ea022', 'b85114255018b6f4', '54638ffc419fec69', '69371015a3531f8f', 'b308d11f761f3807', 'aa32d19e98f77cdb', '7f9dff2e30b4bfc6']; context = [[96, 131], [11, 64], [12, 67], [7, 57], [0, 56], [34, 79], [85, 133], [29, 75], [0, 55], [69, 115], [1, 39], [168, 217], [71, 113], [77, 136], [88, 144], [59, 107]]; loss = 0.016131 low_pass_filter = 0.300
+Epoch 0: | | 11829/? [2:04:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 11830; scene = ['9525ae89d72ab742', '6055a05fc6607fee', 'a6fdc313dfc574d2', '3d5e58fe8ccbbc5a', 'b6f8fc008eb2052b', 'f1d6506bce19c2a4', '72cd35a718e0120d', 'd1a65bf92e622589', 'b17a4057ec690a1a', '02525fa55a283ef0', '9e02959687979c23', '862bca667f4bf63a', '1b387f2dc63125fe', '10ac5613e2e5cb79', 'ea26a05e0acf26bf', '10708f738dc1cdcb']; context = [[42, 77], [6, 52], [55, 95], [215, 269], [1, 54], [34, 92], [22, 72], [84, 132], [17, 70], [14, 71], [151, 190], [9, 66], [110, 145], [17, 58], [72, 130], [8, 55]]; loss = 0.017707 low_pass_filter = 0.300
+Epoch 0: | | 11839/? [2:04:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 11840; scene = ['6b88615a41b8d241', '8b60b394df2a9220', '77659febf946d8c0', '0f928aa808268e96', 'de02237229575e23', '2f1f43ea5b2766f4', 'c854b655b44a62c2', 'de1b480f7479ad7a', '7c1c07c77d39e0f9', '52c81276984654b7', '763fbba111a520fc', '64a094bdca3a99b5', 'b7f4f08c3ee747cf', 'e7431d87279f2f40', 'f3d21d375f937dce', 'd49b4fa7b43fc10c']; context = [[145, 186], [32, 81], [55, 91], [35, 78], [68, 108], [10, 51], [2, 39], [32, 73], [5, 44], [28, 83], [7, 58], [35, 80], [3, 43], [12, 62], [5, 44], [62, 103]]; loss = 0.012163 low_pass_filter = 0.300
+Epoch 0: | | 11849/? [2:04:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 11850; scene = ['ab3352b378297865', '1ec05b1217b8faed', '35bf2746e0a4e79e', '6a1ea67384a032e0', 'b27b5bfe5e4a5aec', '485b767178f8d931', 'a27eef8a648834bc', '75471527ff3b5afd', 'f6dd60c46b7401e4', '03a91501aac2c6cd', 'b6bddb14c9ed230b', 'a190cb946726d886', '55e8daddc05245e7', '9db6fb7dea6b0de5', 'd578c51b5f2f2976', 'df05534dfd852202']; context = [[2, 41], [13, 59], [23, 64], [12, 66], [3, 48], [151, 191], [97, 141], [58, 112], [26, 74], [13, 53], [62, 101], [9, 66], [49, 92], [32, 80], [27, 70], [42, 95]]; loss = 0.013833 low_pass_filter = 0.300
+Epoch 0: | | 11859/? [2:04:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 11860; scene = ['6cc7459261d5ef97', '8adb7580e98e6b12', '7c240633fd3203b5', '1402ebed2813db03', 'f0016cc58149f2fc', '603b6eb2eba559bb', '6992c59cc9057772', '61253d9ece7b9bf3', '81fe719d8b39d5b3', 'e1dfb87d2913b279', 'c908a212ce4dabba', '072e09312e1c44b8', 'be960783bb757699', 'a70857b8984c9071', 'a26ce2d066354ef8', '4397f3a11cce932c']; context = [[31, 80], [0, 42], [2, 56], [77, 127], [8, 64], [123, 178], [11, 69], [3, 48], [71, 107], [60, 109], [26, 76], [4, 59], [72, 131], [95, 132], [1, 42], [182, 226]]; loss = 0.014784 low_pass_filter = 0.300
+Epoch 0: | | 11869/? [2:04:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 11870; scene = ['6a6beb90616e4f37', 'cfec50872cec53bc', '5d167006936398f2', 'b05e5158361732c9', '337c66222a513af2', '56c92457c51952ec', '5f22fdf235746488', 'ecc15d661d8dbe9f', '06f60580eba61d9d', '6a4fe529a00082f2', '6792d6a4f4e87e24', '2d417198a5ebd20e', '08f3bdfcb2b56aa8', 'd2f6106c79c3c290', '9cab4d4314df42e1', '0dd90b85c14d14dc']; context = [[2, 47], [19, 54], [6, 57], [178, 220], [44, 99], [31, 77], [21, 68], [57, 104], [11, 57], [149, 201], [9, 64], [84, 122], [19, 77], [28, 79], [5, 48], [43, 96]]; loss = 0.016927 low_pass_filter = 0.300
+Epoch 0: | | 11879/? [2:04:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 11880; scene = ['2b2dc9cd1a3408e0', '3aa4c2c3e20b7f5f', 'a80f9fb86b6b84c3', 'c94cf15b6b2c0cbb', 'f9cc10023bf41280', '5049cee4405f0947', '1bdc3545839f87fd', '7d30d61c78c62100', '4967b75401615e71', 'd80659d665f7b903', '42b4c926e4c0b0c3', 'd8af738fe0e075cd', '9174b7d336b16faa', 'd3c13f24d1748e4e', '2feb2ebfb04c6542', 'c364ab8ae4c07ec2']; context = [[27, 85], [10, 56], [94, 132], [10, 49], [4, 53], [22, 64], [19, 64], [3, 59], [6, 43], [93, 132], [32, 67], [16, 59], [107, 144], [12, 58], [10, 45], [66, 119]]; loss = 0.013254 low_pass_filter = 0.300
+Epoch 0: | | 11889/? [2:05:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 11890; scene = ['9213635ccef65666', '758b1ed875a3209d', '4756c1b6b5863753', '9acaf450371da000', '368eea1bd59c85b4', 'eb7e21a67b545154', 'bd242939c1449d8e', 'c85ef98584c441bc', '08751a636714627d', '07a7501a512358e1', '1b7697fd8dfb8717', '081919bf31bf790c', '6e2c73ab63bf5e87', '7d6c1fd4e7714f22', '3536319c169d43c0', 'ec56ecaa7be14db0']; context = [[32, 91], [168, 213], [35, 84], [48, 97], [10, 46], [162, 201], [20, 76], [81, 116], [10, 58], [43, 86], [42, 83], [56, 113], [122, 175], [0, 36], [7, 50], [57, 102]]; loss = 0.016036 low_pass_filter = 0.300
+Epoch 0: | | 11899/? [2:05:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 11900; scene = ['cfac893736d0c31b', '16b46bf7b3709c2f', 'f60373796216b3e7', 'c75dd6b151fc618c', '0b8049e94cc33a66', '39fa6b21b5a2e65e', '86168d9408d50c1d', 'd438e6b186071150', '5c047522c1e8764a', '70b6c45280496e84', 'a7fe1e367a54260c', 'cb6a581957b0a925', 'e970eebc4848850b', '90beb28f8720f849', '0855f3a40a7bd76f', '1aff412e9382cd01']; context = [[149, 186], [232, 276], [84, 138], [72, 107], [84, 140], [12, 57], [55, 90], [0, 35], [88, 138], [2, 54], [85, 132], [138, 179], [110, 163], [112, 165], [4, 41], [11, 55]]; loss = 0.012951 low_pass_filter = 0.300
+Epoch 0: | | 11909/? [2:05:17<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 11910; scene = ['b69a6176ca73bb80', 'b8f049d995970787', '9159b3222ebe6184', '1e50678714cf2d49', '986704b6d8dab20b', '9ba0231d119b8822', 'fbaabc7f4bfc005d', '873ef55396bb770f', 'cfc2dff63bf01958', '6854cdb73b5a95d4', 'e3d0cca5e61b6b3c', 'f139ab06e65c3762', '21498fbe61ca3974', '0a08efb286b97b9b', '9a6c343fec9da347', '7d23814998002eaa']; context = [[46, 96], [64, 116], [79, 114], [89, 146], [93, 132], [59, 103], [34, 88], [0, 35], [22, 69], [33, 77], [25, 64], [41, 77], [10, 45], [53, 96], [82, 134], [61, 98]]; loss = 0.013250 low_pass_filter = 0.300
+Epoch 0: | | 11919/? [2:05:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 11920; scene = ['3745aaa7b34a3f63', '482818a2d582731f', '02b2c89d641ddee6', 'e30069efd04a0535', 'ed915ac27e50d047', '793428d6ae107891', 'e9ee332cdbd694df', '4a178a4f32b0977e', '0ddbcb756905070d', '401ce8a065750160', 'eb2089db75a8c8e8', '8cc2ee4703ad7192', '1f2eae1083f108ad', 'b373eeb00c590d9d', 'f12189d951f4e8d1', '7a33856e537d35ac']; context = [[21, 59], [1, 37], [21, 78], [13, 60], [141, 181], [2, 47], [0, 37], [6, 49], [3, 52], [4, 58], [13, 72], [0, 45], [77, 112], [16, 73], [40, 98], [71, 109]]; loss = 0.014626 low_pass_filter = 0.300
+Epoch 0: | | 11929/? [2:05:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 11930; scene = ['91c4afc187a086fc', '3cb5133227ba02e9', 'ff8a982f7807b368', 'e7b82ba02f9f37f4', 'f8432adea5a40169', '2ad704f011637e4b', '2fad8eea9cc3616f', 'bf8bccba0669c23d', 'e0960e2867fbec8a', '7340966e764f81b0', 'ab040c86608fb8cd', 'becad6404d25b312', 'c8d9b5cf9ebb5419', 'bcbdd461249d83ba', '7a9bff098d05f545', 'a074c7e52538fe27']; context = [[19, 69], [1, 42], [53, 102], [43, 95], [160, 218], [1, 45], [137, 177], [84, 123], [73, 128], [14, 64], [137, 194], [20, 70], [68, 117], [1, 42], [0, 36], [4, 58]]; loss = 0.013835 low_pass_filter = 0.300
+Epoch 0: | | 11939/? [2:05:36<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 11940; scene = ['7e3991a1e57c1b92', '36e9f6aa15a645bc', 'e621fd73ae473881', 'cc9c60269e489a99', 'bdaf42f6d92c13a4', '18c6d122fe4c3dc9', 'c9fb94c034427022', 'b526812abb4244ea', 'f5201dbafa0af79e', 'c073e79fc1a1913f', '97a395ac62304d1b', 'a144d1791f033ad1', '90c1552eccdde512', '8445dca6555ca471', 'e26067b30e26eaa5', '181220855c758801']; context = [[64, 115], [51, 89], [21, 72], [43, 89], [110, 159], [19, 66], [0, 36], [9, 46], [191, 243], [8, 58], [125, 180], [48, 99], [6, 49], [7, 43], [30, 77], [46, 86]]; loss = 0.019868 low_pass_filter = 0.300
+Epoch 0: | | 11949/? [2:05:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 11950; scene = ['5d707a2d57727069', '09ab73395b87ec6b', 'ea79dc836a78061d', 'c29208a5f74d3649', '525bdd8b89129054', 'd585e74d7e2b840f', '35ce3025267c7ba7', '83f01c4310f19278', '12945d32f3aa263a', '4d6216446375ae8b', '27ec00bdc19a15e1', '8de0ff88075b6afe', 'f4a60efb78719207', '17af71bd035c4f28', '88c699e2a02f443f', '11e172e433f7e055']; context = [[99, 151], [32, 73], [54, 90], [73, 125], [51, 99], [30, 83], [64, 118], [46, 92], [21, 79], [25, 72], [136, 183], [6, 55], [132, 177], [96, 145], [6, 42], [4, 44]]; loss = 0.015001 low_pass_filter = 0.300
+Epoch 0: | | 11959/? [2:05:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 11960; scene = ['bf42ddb0b05a042b', 'ff9c615f0b79a62e', 'f708a1924342daa2', '4174e812c0474d77', '2c1209afd2fa704a', 'c747a1c3ba8448e8', '169b3450c206409c', 'aee46149e705448c', 'a4be14ed97b5545d', '8aa808a0b8f615e0', '95d8fdbde6d3bc0e', '31d30fddbd27c955', 'a0cca65da804c483', '4e9777ce94f7ff22', '8f00ee0979b9f3eb', '94650809b1bfebe5']; context = [[2, 42], [10, 61], [25, 83], [67, 114], [11, 60], [4, 49], [7, 53], [52, 87], [20, 62], [30, 68], [63, 105], [38, 82], [1, 36], [13, 65], [6, 55], [36, 77]]; loss = 0.013036 low_pass_filter = 0.300
+Epoch 0: | | 11969/? [2:05:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 11970; scene = ['3d25472e6c3c1656', '3af52105acc793ba', '8cf3c521b190624e', '40a1217116dc112c', '71bc75d5003c5e82', '86a62b4a72ce0a9d', 'da91a6fbdbaf7e7b', '13245699532dd45b', '96d5cbab2706159d', 'f62212880a42960e', '398f622c573c201d', '07c58ec06695138f', '83f27f1a8c7814ed', 'ffbd661d3229b4cc', 'bf15144c156af1aa', 'aa0286372034e338']; context = [[67, 108], [39, 75], [164, 213], [43, 92], [76, 134], [64, 122], [46, 93], [33, 92], [56, 107], [2, 53], [98, 139], [90, 132], [109, 162], [108, 145], [6, 52], [12, 59]]; loss = 0.015636 low_pass_filter = 0.300
+Epoch 0: | | 11979/? [2:06:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 11980; scene = ['e33342f08e052378', '698495499f8fdafc', 'd5415ea8c79b23bc', '01e5207480d75225', '816112a90ba0035b', 'e2970558f4892f7a', '0aa601b42a2b5dd0', '8b95bfe3e8140690', '196d1f794ca7fcda', 'dd4746055f52e4e7', 'bbfe24412b6a31d1', 'f4ba1460268eac35', 'fc4d62786f122fb5', '87278d471c769095', '7445ad35b0826235', '2ede9f4b066d95ff']; context = [[43, 92], [12, 63], [0, 43], [43, 96], [81, 117], [9, 64], [68, 120], [37, 92], [5, 44], [54, 98], [15, 59], [19, 62], [3, 45], [0, 52], [67, 106], [28, 69]]; loss = 0.012905 low_pass_filter = 0.300
+Epoch 0: | | 11989/? [2:06:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 11990; scene = ['8a7edd543d8e8b8e', '079196ceabe07c0d', '45fd83f6c3984135', '47ef1b5ed7e0f8bc', 'b92532489aea7706', '09939f6760e4afa4', '18f1bc96d6891bb7', '4cbc09a660b88e25', '5f414af9d6abc978', '5d72c6acb49bc440', 'fd5bc65336819ceb', 'a5f0144bd9a5fa8b', 'd803034b5b627abe', '9fe3994743e46ce7', '48fea7f3a73f0298', '6dbb0a5f48f2652b']; context = [[21, 72], [6, 51], [40, 84], [19, 76], [2, 38], [6, 45], [133, 182], [21, 71], [99, 144], [1, 36], [17, 61], [0, 48], [188, 246], [76, 134], [18, 72], [28, 77]]; loss = 0.011773 low_pass_filter = 0.300
+Epoch 0: | | 11999/? [2:06:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 12000; scene = ['5a2953008c747c2c', '0c8d8a68736d158b', '9b1ceb9438c33ab8', 'a4f2de45c55864d7', '04c823eef80a160b', '33e3195b131be3db', 'd160f5db0709ac47', '2ce4eafce3f2249e', 'ca3462f0edc7f285', 'a0db5e62f8c4f6e7', '7005e1c300bf8b2a', '58fb2c19b01109d8', '021fe1a2ec9ab0c3', 'b5b4cd966ac738ab', 'cd80c587743d9836', '985a81850d13edfd']; context = [[100, 149], [8, 65], [2, 56], [25, 63], [16, 54], [34, 90], [16, 75], [84, 126], [208, 252], [60, 106], [21, 71], [26, 80], [135, 182], [59, 107], [2, 38], [53, 112]]; loss = 0.015481 low_pass_filter = 0.300
+Epoch 0: | | 12000/? [2:06:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0validation step 12000; scene = ['3e07add8413f8157']; context = [[6, 61]]
+Epoch 0: | | 12009/? [2:06:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 12010; scene = ['3eceb0c08c08242b', 'bb31564840f2db2f', 'bfecac3e3bfe37c3', '3002f9cbe7f00e6c', 'acd45fcc7eed8818', 'ea6934fc7d7b6a08', '3140f7bea5597af4', '962bf8736f57fe5e', '7d8396be45845c71', '056b5030399a131f', '2f147c762ad5ee52', 'a0d16e79ab441c4f', '09f812fa28cf509e', '66b806c42bf3c0d5', 'ef033bb52be535d7', 'a28f41ab97fb6368']; context = [[51, 97], [9, 58], [57, 94], [189, 240], [24, 80], [9, 49], [217, 271], [1, 46], [18, 54], [56, 113], [13, 57], [31, 81], [27, 65], [42, 78], [3, 41], [132, 189]]; loss = 0.013752 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 12019/? [2:06:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 12020; scene = ['d54dbb0c6b13160a', 'ac16e227bc0144d6', 'e91c5ca70f486da3', '866277971a76a6cc', 'ded38d3ae876e8dc', '02819374b5398ef1', '830e472fdd20b6df', 'f8f9eaec8ab860f7', '0a1aa875aca3711d', '4f3f1aac944bce8f', '9005d1006b63b2ab', '3ae3d6916e0d963d', 'bcffeca308e9651c', '861453c483faf282', 'aa416065dac5210f', 'c7fa7cba2aa2da8e']; context = [[40, 82], [72, 124], [170, 214], [0, 59], [0, 40], [60, 97], [22, 80], [115, 162], [1, 48], [8, 43], [23, 58], [209, 246], [16, 66], [4, 55], [0, 43], [11, 56]]; loss = 0.015250 low_pass_filter = 0.300
+Epoch 0: | | 12029/? [2:06:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 12030; scene = ['8d583bfb265295b9', '673ba323f6aaefc5', '3d998029b8876876', '18a4502aa1a59ed5', 'c76aa64f7f4f0967', 'b5d76d0407dd07a7', '69fe97eaa5511f9b', '4db2b26aa4c4277a', 'ce8e66277c7f284c', 'ab28dcbaaddc294c', 'c602ef8e4559ef93', '06fed398baf81309', '2b151a54e0287ce1', '13de5b48f1fd60e3', '95ff7df105ade4ce', '61c58398a28dd9d5']; context = [[54, 109], [163, 206], [236, 274], [2, 53], [0, 56], [175, 210], [29, 75], [19, 70], [0, 40], [49, 98], [15, 61], [214, 272], [93, 138], [50, 89], [13, 48], [5, 44]]; loss = 0.014757 low_pass_filter = 0.300
+Epoch 0: | | 12039/? [2:06:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 12040; scene = ['42c0257c36a9e803', 'ba8683c7d9392cae', '0914ab351ada6998', '5e4b0194308cb338', 'f2f21e00e8036928', 'dec8aa28b4402b50', '21dd673017056093', 'cd6bcd4d2762a4d9', '65c475803b9b5228', 'a157e3e707b308a8', 'f939a717c8f8cccc', '0753ab556d54d1e7', 'd9944c2f7c498ea3', '5c79f78b67226dc4', '90b044454cba5609', '6e91cba4f0112d93']; context = [[2, 51], [63, 117], [4, 56], [23, 73], [22, 73], [43, 80], [35, 70], [26, 69], [54, 103], [6, 61], [114, 168], [15, 72], [28, 67], [20, 63], [20, 71], [22, 67]]; loss = 0.015020 low_pass_filter = 0.300
+Epoch 0: | | 12049/? [2:06:46<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 12050; scene = ['3aa5ea79245df8b5', 'cdcd7bd6217eaae1', '180c4ba9f87f427d', '69ec027b22fd5db4', 'f33e63a20e080399', 'ed3fda3e5a79de50', '65b05dc4cb31bf45', 'e7fec1ee1cf98b16', '29c79f791d50eb63', '17db1dd300d539f5', '566f41051767b7a4', '211054510cc7e332', '10c9ab0b3e5904dd', '56173ba8c4e2fe0a', '3107cf5db874038f', 'ef830c8c55b4974a']; context = [[4, 47], [0, 48], [47, 90], [0, 56], [12, 55], [16, 73], [71, 117], [142, 186], [39, 85], [43, 79], [65, 124], [9, 56], [43, 85], [57, 113], [10, 57], [4, 56]]; loss = 0.012534 low_pass_filter = 0.300
+Epoch 0: | | 12059/? [2:06:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 12060; scene = ['61944f66d6b0c7b6', 'f25f89722f6fd7d2', '140ec322ea5a197f', '31c7ca382b4cf406', '2cf9926a578c2784', 'fdd0f62113d4f4ad', '00b52b21e0d54a42', '31d2bac3cf84f232', '6cce9c57b5aa5336', 'fce1137a35c75426', '1eba1805fa0eba9b', '381fe9c18a25d741', '49b292bd243d56ac', 'd187bead2c4cc455', '0487496db87013ec', '357900486cef1639']; context = [[41, 78], [164, 213], [221, 275], [14, 58], [14, 73], [6, 54], [26, 70], [41, 77], [8, 43], [50, 92], [0, 47], [14, 64], [3, 48], [1, 47], [104, 147], [145, 197]]; loss = 0.015482 low_pass_filter = 0.300
+Epoch 0: | | 12069/? [2:06:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 12070; scene = ['bdebb67214315ba5', '53eeb9b2a3c85438', '67109d04207dc5e0', 'ec400deea098acf1', '06d7ebf1d8c31823', '605455dc5f1561a3', '56341c49ed4564be', 'e814b7a50ef25565', '42dea626cd0ca095', 'fa7f56093254350e', '3fbcb0eef93e818f', '87ffa8d57c4da273', '40db90425440c8f1', 'be3bf9362857bffe', 'c7382b0e60e415db', 'bae81f88d95d39cc']; context = [[19, 59], [13, 49], [2, 51], [23, 65], [0, 36], [14, 70], [2, 50], [61, 109], [16, 75], [11, 63], [3, 59], [14, 64], [18, 66], [217, 267], [43, 100], [46, 95]]; loss = 0.014694 low_pass_filter = 0.300
+Epoch 0: | | 12079/? [2:07:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 12080; scene = ['3d998029b8876876', '69fe97eaa5511f9b', 'ab28dcbaaddc294c', 'c602ef8e4559ef93', '06fed398baf81309', 'c76aa64f7f4f0967', '15643ffa40271cc5', '9fa4b561fd7a9ac5', '193772f5af285408', '555b156680c99feb', 'da30333428475044', 'fb38700b0e32e00b', '4fc41d9b64125da5', '3be83d55d7047555', 'a41623bb417cf753', '8392047c3a89030d']; context = [[80, 123], [59, 106], [45, 80], [12, 56], [164, 219], [2, 54], [0, 41], [11, 60], [48, 97], [48, 102], [15, 71], [99, 152], [8, 46], [11, 62], [19, 69], [211, 263]]; loss = 0.010725 low_pass_filter = 0.300
+Epoch 0: | | 12089/? [2:07:11<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 12090; scene = ['405e320c34ff7f81', 'e9b590c6993bcf66', '36c57314d0fdc684', '24b36b96c868b758', '2580a57635d98a36', 'cf93d34812c5075f', '58658f7de57fcdf8', 'eb1379bef32aa39b', '8dbd26a529a8e1fe', 'aa49c506f067e54d', 'b53cea58c1e95448', 'a4061f8f59c6fb6a', 'c8cc82055a21d0cc', '6376ef37d0e0c668', '822fd1c9a445a137', '62e8118778156a6d']; context = [[51, 97], [35, 81], [0, 41], [64, 102], [21, 70], [70, 121], [21, 61], [9, 61], [9, 65], [37, 85], [89, 141], [5, 64], [13, 53], [72, 116], [75, 113], [3, 38]]; loss = 0.013237 low_pass_filter = 0.300
+Epoch 0: | | 12099/? [2:07:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 12100; scene = ['9ec8836d9eba792e', '3a5a38a182b82f99', 'c79eade117f25328', '679808e43e9188e0', '787b457d2249bdb8', '5b1b31d1fc116fe6', '37520e6d05f6eeef', '0afb709aed993f16', '0141bc3a8179f6f2', '5ee41f28a5de1206', '268be072c1afe4d6', '8d5bf196c1679c4a', 'ca5b908968b3a4f8', '52e0505aa4e8c184', 'ab470fa60eee8a36', 'a8af0ccce433b454']; context = [[134, 184], [19, 76], [20, 69], [22, 73], [76, 113], [30, 80], [29, 74], [11, 59], [57, 94], [20, 74], [4, 53], [61, 120], [1, 56], [48, 87], [41, 80], [134, 184]]; loss = 0.014916 low_pass_filter = 0.300
+Epoch 0: | | 12109/? [2:07:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 12110; scene = ['5a2d7bd1aaaa9979', '693e16057340bac9', 'b6e0a7217135f0ec', '04c274ee7ff5faa4', '376891e5c574f2fd', '72b9601d75933b02', '0d4ded80a6003029', '16a4c73f7dfab404', '5ae40a0fbf6095d6', '2f954072e9834dc2', '6be0a940423eafdf', '821c671b230a1ed7', 'f143d7c9ff7c1234', 'aeb17dab82aa05ac', 'de832a9e5c890869', 'fa6335a92d7faa48']; context = [[13, 72], [1, 46], [14, 61], [4, 48], [14, 72], [47, 94], [50, 92], [4, 58], [0, 37], [36, 73], [9, 54], [11, 68], [31, 70], [11, 65], [8, 43], [40, 90]]; loss = 0.016562 low_pass_filter = 0.300
+Epoch 0: | | 12119/? [2:07:30<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 12120; scene = ['fb0b73b80cf8c027', 'a1ceea81e1cc2dcc', 'bf06a2187ba5ee89', 'd559b11e8ded5d76', '1bbbca2236ee4230', 'dc11fe3737ec6ce9', 'e310312ac1b4af0b', '580df111f223d694', '81e453158009b57c', '3e6c9c32abee2205', '16af37ee77aeaae7', '4352f5ecbeaf4b69', '58388d76b62c5fa1', '4cc6fa6dc966f1bc', 'a313b7aa3720f375', 'ec740dac79f473bd']; context = [[0, 41], [50, 107], [12, 69], [26, 66], [24, 64], [98, 136], [11, 59], [62, 121], [200, 244], [3, 41], [0, 47], [155, 195], [9, 61], [40, 91], [1, 42], [36, 82]]; loss = 0.016249 low_pass_filter = 0.300
+Epoch 0: | | 12129/? [2:07:37<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 12130; scene = ['08a02331e49f2e05', '2e4d2ff0e9928563', '30824b5a1ad95949', 'f6cb1d6c0b140968', '3e8bf9b4348c73d6', '09601fe247d7afd1', '34654b2aef02b36f', '53fe362fe9f15a4a', '5d94f429452c77ae', 'bef8aa73d43057d3', '59ff46a8991109e1', '3638454a11b5e1d2', 'e8556bce269486a4', 'e9b3ee54d1ed8bf3', '8f95aaecd30bfe17', 'b3f9679d73187a63']; context = [[8, 57], [0, 42], [3, 45], [39, 93], [81, 132], [150, 209], [8, 48], [29, 77], [18, 60], [10, 49], [53, 90], [32, 83], [2, 58], [6, 55], [0, 48], [26, 81]]; loss = 0.012978 low_pass_filter = 0.300
+Epoch 0: | | 12139/? [2:07:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 12140; scene = ['b69103386f5db304', 'be4f1d3a9081ec93', '969eae779f4745e5', '014f71bd22de9f37', '622a0d2554fc5402', '26982d1d02e9afff', '6c5e37d3a0fe6230', '8ed5a86dea1245cf', '0f6f85f900c47557', '4fc52f6aeecd8f82', 'aa1601b3c7e10e3e', '63acaadeb84a31af', '88f7bc47eab8af52', '951d3d3360153a68', 'afe08596b2895950', '7dd925c36cbbbbe1']; context = [[129, 183], [65, 122], [22, 70], [179, 231], [80, 135], [37, 96], [61, 109], [84, 139], [7, 52], [30, 76], [9, 52], [7, 45], [9, 64], [191, 247], [113, 171], [2, 53]]; loss = 0.014161 low_pass_filter = 0.300
+Epoch 0: | | 12149/? [2:07:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 12150; scene = ['9954c518245b7322', 'cf91287a73911ff5', 'a9b437c1a771c642', '8e1c0bc2d1f32fb0', '9839acd64985ac6b', '164e9587927eb0e9', 'caa51283afc66cae', '957517b6ed4d0048', '0ed741df4437c6ba', '3a06d7ebb3cb5341', 'd3af8e3b7f354487', '5ee8cdeea1ad04d2', '1589ff1d9713b5f7', 'c426c3939899ee95', 'c0e8b7d8718425ec', '440ce0df90c936a5']; context = [[42, 82], [98, 153], [10, 61], [3, 57], [15, 66], [7, 61], [17, 76], [18, 70], [1, 51], [27, 65], [31, 86], [53, 113], [52, 93], [10, 70], [140, 179], [13, 72]]; loss = 0.016152 low_pass_filter = 0.300
+Epoch 0: | | 12159/? [2:07:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 12160; scene = ['3f45f9ecf32805f6', '33416d034542277a', 'c4cdbb6f994734c1', '09dd31eb20405b2a', '9d97c645bebcd1a4', '04af3750947a687f', '8b9f8b93b5c8b635', '86706e7bcff2d9bb', '57d70928e32ad9a8', '04efda28f99826d2', 'ae46c18afc8ab55f', '2a8b384c5d8cec5b', '83b8d48dd4198ada', '9a998c8153192ddc', '3cdd1f0cb282e9cd', 'ab5ccec0f5c696d0']; context = [[8, 45], [25, 65], [7, 44], [124, 184], [15, 74], [86, 139], [185, 235], [3, 41], [59, 104], [8, 50], [19, 66], [4, 50], [11, 50], [126, 180], [23, 64], [50, 90]]; loss = 0.011810 low_pass_filter = 0.300
+Epoch 0: | | 12169/? [2:08:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 12170; scene = ['5244830b7357365b', '8cf8eefab5a62f0d', '3304890162555f84', 'aa5dd9c4063f6e6c', 'a54873f89d266195', 'ab1185dab9b6da5b', 'bc36023dc3113bd3', 'add32babab3b0aa0', '172173d0bf0c1fce', '7cd91d0323b7067a', '3161bb9aafb4cd71', '14b3067edde30f05', '2c4a9a5598f7aa44', 'a8d57c4f203ea8d6', 'd8dff4508be8a6da', 'aba410d7c6252b5d']; context = [[23, 77], [5, 44], [43, 100], [9, 60], [0, 55], [41, 87], [51, 95], [32, 86], [20, 64], [194, 244], [59, 109], [13, 53], [2, 59], [1, 36], [95, 132], [8, 56]]; loss = 0.013609 low_pass_filter = 0.300
+Epoch 0: | | 12179/? [2:08:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 12180; scene = ['90d87190e41314e7', '7f5aa79ec2e823ad', '511207c07d553599', '3820e4354377e7da', 'cc306ca65c5dbc24', 'd3917d0a1eda2a1f', '48a9f2119ae79662', 'ea6ed2808e7a6b2b', 'ae37850519b233ac', 'bde0ae0a61223088', 'aff1a276b88f95c0', 'bb2c45db780e6053', '590d6f715d8edd9d', '4a3aefcc8d1bf303', '623a5216fb75cc8a', '79d69af91cf6b1a7']; context = [[12, 70], [18, 69], [1, 45], [21, 76], [115, 154], [46, 105], [98, 146], [10, 46], [0, 38], [19, 77], [4, 62], [138, 188], [192, 233], [14, 58], [72, 118], [167, 206]]; loss = 0.014480 low_pass_filter = 0.300
+Epoch 0: | | 12189/? [2:08:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 12190; scene = ['3e0497b3be34d492', 'fbc40b507a2ef712', '38d17287a2d1b35e', 'abfb3e8af35aef41', 'fb9e93054db6ebbc', 'c9ae81970b7075f0', '17182e5c481e14f1', '1d6ed861c30a6c05', '8f7ee093c756747f', 'c0a19ec78a7ad15b', '4e2fbc828c9fe2bc', 'e59c541c3c0cc68c', '20cd6d5b5e0f84d8', 'e86d7387e9d627c0', 'e259aeb5a4011241', '81e4aa61acacb1a3']; context = [[122, 179], [10, 49], [51, 109], [5, 40], [164, 204], [10, 53], [5, 57], [9, 62], [43, 88], [10, 70], [4, 53], [200, 248], [72, 127], [51, 96], [104, 139], [27, 68]]; loss = 0.013238 low_pass_filter = 0.300
+Epoch 0: | | 12199/? [2:08:20<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 12200; scene = ['ce4c27e415863b8a', '079ed48fda2e5b60', '11373a7531640609', 'e08993b4d6d78756', '4d53551d81b226fc', '7b8ae88adecfb87f', 'f403f83a9cac4ba5', '4305d5a5fab3efa5', 'eb1785431a9d20c6', '3d313d32ec13ddd6', 'ff3735ed0adaee8c', '6d4ae1b207f911c0', '6b5033800250e9d7', 'c3708bd52a94f1e6', '6281f1e8ec9ca792', '8ae37caf70acdf7d']; context = [[46, 84], [0, 56], [16, 54], [40, 100], [7, 66], [19, 66], [174, 219], [60, 116], [50, 107], [159, 217], [24, 65], [0, 35], [1, 46], [10, 45], [100, 145], [18, 73]]; loss = 0.015074 low_pass_filter = 0.300
+Epoch 0: | | 12209/? [2:08:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 12210; scene = ['6e10a046c2ed0765', 'd15f05d444df4144', '836250796ea45b6c', '8eb537dc07e5ae20', 'bc2844e0adbc5a7c', '0eed4548041bea8e', '108856fdd9df0c73', 'cfeaf7156a508877', '69764e35ff3eb472', '6f609e17cea52386', '1cb3ecb30e3e9d0e', 'fb526fa7f45a3ae4', 'f0b193a824ced787', '587e782458e147aa', 'd5c7ba9e0a7956ad', '8d2cfb8aac259c54']; context = [[125, 170], [6, 66], [48, 100], [93, 139], [46, 90], [47, 94], [78, 127], [26, 80], [4, 56], [0, 55], [97, 151], [6, 41], [193, 230], [34, 93], [14, 56], [192, 246]]; loss = 0.015149 low_pass_filter = 0.300
+Epoch 0: | | 12219/? [2:08:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 12220; scene = ['65941d6210e92cfc', 'c6a0f60507c5b23e', 'e8c358caad0e0900', '97ca51807dd1ccdb', '117eb07d6c928f92', '6311f7f59a5b58bd', 'd4294f7d5b241d04', '0798c66d382f3f33', '2f95a104b58aef0c', 'c327e20a8d800e0d', '3ad78b51a2b9f04b', '74e5c65d8941abf4', '9eeade66ee1e65ad', 'ac0228d32b55dac7', '7b693568763d4e27', 'd8166d21d1ae6010']; context = [[12, 47], [41, 83], [8, 51], [53, 113], [101, 144], [42, 92], [63, 101], [52, 92], [185, 223], [35, 91], [30, 86], [10, 57], [37, 85], [202, 251], [35, 84], [10, 53]]; loss = 0.015030 low_pass_filter = 0.300
+Epoch 0: | | 12229/? [2:08:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 12230; scene = ['e0221452ae2cd21c', '2c8690e7abc59e99', '0ed772aee274d4e7', '82f678db97e94615', '1613fefaad02972b', 'aceec8149ba6e75c', '5ab8bfe8240ec91e', '8d073ac3acb75992', '551fb8535c0aa256', 'ab4c74b2751a2306', '504f84dcd4f6fd4c', '54a791c692d770ec', '56a9d7a35cdf2274', 'e3330c1feb8b3ee0', 'bcca779045d62e67', '917ab9849d0d6a8d']; context = [[36, 96], [16, 75], [57, 107], [0, 49], [4, 63], [170, 207], [10, 59], [10, 67], [58, 95], [2, 55], [69, 114], [0, 45], [4, 44], [44, 79], [46, 94], [29, 79]]; loss = 0.012627 low_pass_filter = 0.300
+Epoch 0: | | 12239/? [2:08:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 12240; scene = ['36dbde23c0348a09', '9069736f3a949982', 'feb6e94b05604c83', 'eb4b27d12622a222', '2cf0d1a531e44b1b', 'cbf194450f89fa83', '338431a868d07b01', '2053f6c374e68d28', '3c76267fb0f773af', 'bb99c11f78349cf5', 'f058d22a591faacd', 'c6479f7e813d588a', 'b6ec852cd239b4e3', '02563ef6e6768ce0', '2863d376a1a92afa', 'a05911b9e6186029']; context = [[0, 56], [42, 98], [14, 50], [0, 43], [15, 51], [97, 134], [46, 85], [129, 175], [80, 124], [21, 72], [97, 133], [24, 72], [26, 66], [36, 77], [80, 134], [25, 69]]; loss = 0.015062 low_pass_filter = 0.300
+Epoch 0: | | 12249/? [2:08:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 12250; scene = ['bf37156b4d92c7f2', '9007b3ae76d7a762', '69dd3eb18ff7a838', 'ace591a332a2780c', 'e227d56dd6f178c7', '66530b646b00a9d7', 'e9aeda15b7117ce1', 'cc375304e2e198e9', '9808ade599ce3b8e', '4cd18aa0eddf1c14', '0b4070d37e896388', 'cdea215558754e76', '71a56f5379e2f975', '6fab51a37edb7739', 'dcb8ad3a1428b56b', '936f328f3383e093']; context = [[132, 183], [142, 189], [54, 108], [219, 262], [71, 106], [14, 65], [138, 178], [155, 202], [10, 48], [2, 46], [76, 115], [90, 148], [88, 148], [94, 137], [69, 105], [107, 166]]; loss = 0.012935 low_pass_filter = 0.300
+Epoch 0: | | 12259/? [2:08:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 12260; scene = ['604cb3a7c1671722', 'd28b9fcb544a45e7', 'aab945aab8202b66', 'fd1fe9c1db9269d8', '37d7c6279a740c7d', 'e003c7d69b73e632', '0dee4934bd1e8cb5', '2e887f0103cfe378', '825f5fc21ea780cf', '55433af3386415b9', '4c1dd38ae1e23da3', 'c54fe1ba08b7ab80', '8eeeb4da9f352048', '2317fbb490ffe046', '033c76a9906e82b7', '46a475daa238ceaf']; context = [[28, 71], [38, 91], [136, 176], [1, 60], [89, 130], [61, 119], [69, 118], [58, 108], [112, 152], [77, 117], [30, 82], [2, 46], [21, 76], [21, 71], [45, 84], [194, 236]]; loss = 0.013274 low_pass_filter = 0.300
+Epoch 0: | | 12269/? [2:09:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 12270; scene = ['449ac2d18080fc7b', '380bc7bb1ed99bd8', '128f032a71ccfd3f', '96bb4b2a55b7ec43', '2f86649cfbb24a7f', 'fa604b72bc666444', '6d21f697d6dab0f2', 'effef8b0f00cb66a', '89955bb7df1571aa', '69dd80a600fb233f', '7f3e50dbc8f2d1e3', '9dfcd20a3d14d93a', 'c1e8947897534f8e', '97ae84592e0a6efb', '6b19c6dd823a7cd4', '885bb71067dd494a']; context = [[25, 77], [10, 50], [165, 208], [32, 85], [2, 37], [34, 79], [76, 128], [108, 168], [60, 114], [10, 67], [3, 49], [10, 70], [100, 150], [6, 53], [112, 151], [84, 127]]; loss = 0.015734 low_pass_filter = 0.300
+Epoch 0: | | 12279/? [2:09:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 12280; scene = ['62755beb1ebd7813', '0e5769089b6efd0b', '7769fafcf6736c1e', '8a3e41e66e798f50', '35ba4db99f6f3fe9', '2e8f22d6e88e516f', '6f4a53d9777183d8', '3e7cf13b44a04cf3', 'b9e1ba841aea9863', '6cd738daee326500', 'e4169ebd4ebb1035', '0825ae880bd3922f', '1916b24e81c1a30d', 'd1f43e65f28ce3c8', 'd1c829d1f1825d24', '4526168c5b011f4a']; context = [[218, 255], [32, 75], [59, 117], [187, 239], [32, 78], [15, 70], [26, 84], [67, 125], [46, 90], [2, 55], [8, 64], [1, 50], [32, 70], [47, 91], [115, 158], [107, 152]]; loss = 0.015365 low_pass_filter = 0.300
+Epoch 0: | | 12289/? [2:09:17<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 12290; scene = ['ad1ab6f6fa4bc6ad', 'fe23c60776197d63', '3f2b808da3dcd537', '63189de80ccf3a17', 'e363997ea65563fd', '04ca0ba3f07853ff', '5956792e29d4fb15', '781afbd41e87c025', '35dea7ca0629d8f5', '99edafef75e13593', '27d0b196b2681fd2', '13dca51f82b69bc8', '540c9279a5df9238', '977b59e04db8d8a2', '8a8b61101aec5238', '0c71ef124468ec2e']; context = [[58, 103], [2, 40], [0, 38], [95, 153], [41, 82], [2, 37], [13, 49], [15, 68], [15, 69], [29, 65], [36, 76], [6, 66], [94, 148], [36, 92], [73, 121], [0, 36]]; loss = 0.017979 low_pass_filter = 0.300
+Epoch 0: | | 12299/? [2:09:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 12300; scene = ['68460a404c41e6a0', '0d446eef93166bf1', 'f3196b07005cd061', 'a973128515c7a96b', '275951165e734726', '7ab2cfee66bf9137', 'c5aacb81add61aae', '3a3f2d54e7cb4295', '43a550bebb5926c6', '250f426a7b3e59ec', '69e7cba7beb30840', 'a9e5b84dc92dbed4', 'e6cc5c658999d195', '9ffd98918cd5c313', '68416e074928f188', '7303b180402fa4e2']; context = [[3, 41], [102, 145], [39, 80], [85, 127], [2, 52], [59, 119], [9, 60], [10, 47], [46, 92], [85, 136], [3, 59], [36, 91], [37, 80], [3, 61], [26, 66], [15, 66]]; loss = 0.013846 low_pass_filter = 0.300
+Epoch 0: | | 12309/? [2:09:30<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 12310; scene = ['4710f8bab2373cea', 'a6ca18871e71561d', '115d1b9b280160d0', 'ba3a701ae1a34980', 'b8a4200aec3217ed', 'c3109e5125260fac', 'a8e5514d51acd87b', '5bc40ef96dc75353', '9c114fd30bc5d40d', '66af0e2f2e7d0963', 'd1179c6e15ac4f2c', 'aa23091c2d2a3b74', '85d56f7594f38108', '38e757b8f58a6da2', '09beb5e04006f09b', '03de6553890bdced']; context = [[12, 54], [5, 41], [75, 131], [10, 60], [36, 74], [1, 59], [2, 42], [28, 66], [18, 60], [10, 62], [87, 134], [16, 54], [55, 91], [45, 94], [81, 117], [3, 50]]; loss = 0.016095 low_pass_filter = 0.300
+Epoch 0: | | 12319/? [2:09:36<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 12320; scene = ['47ceea212d614aca', '9591f742a8d2aa60', '7e68dab980a361f0', '7f1ad8c58d9394ed', '24f4a34332a7f455', 'ffd7597794206019', '429745bd886be62f', 'e01adc15e6595c94', '97098e465590c791', '4a2a4c9c9a87b294', 'ad645ff924caedf4', '865cf762c4d42b9e', 'c5801600fc13d190', '40ef3793c2b79de4', '908c948fb8cac025', '849c18ebf57067f6']; context = [[20, 66], [12, 48], [67, 119], [1, 52], [0, 43], [10, 69], [1, 41], [25, 72], [17, 59], [4, 45], [20, 62], [14, 64], [75, 120], [6, 55], [17, 75], [39, 75]]; loss = 0.016317 low_pass_filter = 0.300
+Epoch 0: | | 12329/? [2:09:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 12330; scene = ['5859921034bf353a', 'e62ee8ff4179b4b6', '0c178168a07f84a9', '9890a01b883b8cbe', 'bd6928d27fc62fdf', '83559529fc525a03', '65c7fa472b86e7f9', '2d17040e1efd14f3', '6c52c204d0fe9f7f', 'c7729ec50d323a67', '9ce57fe58f8d3831', '4bff0cd03121c67e', '226874ab1ea7f69b', '260e2c701212a8cf', '05215705c221beca', '7841492ce59bcd66']; context = [[99, 140], [200, 258], [40, 75], [66, 125], [27, 79], [22, 73], [83, 124], [53, 108], [144, 191], [56, 113], [17, 71], [0, 38], [9, 53], [11, 48], [3, 42], [0, 37]]; loss = 0.020258 low_pass_filter = 0.300
+Epoch 0: | | 12339/? [2:09:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 12340; scene = ['ebf748806e739219', 'f4fd1fee2a8f69ee', '2b45bef640cbbc31', '818fb3aded9bf459', '59ac4117e2b4b066', '2362cb1176998093', '4217a1276000f915', '2403dfbc8cb4d693', 'e49ae09c86374272', 'f099df2efe3e4994', '48f39fdb36aced7c', 'e8dedfa84d3d44df', '49905e5c42e7463b', 'e27944e20f739de1', '58275afa53d48646', 'e7ed20f72e550232']; context = [[17, 77], [205, 249], [21, 60], [30, 73], [27, 62], [178, 217], [136, 174], [13, 65], [163, 208], [5, 43], [34, 77], [74, 127], [114, 162], [18, 61], [100, 142], [12, 67]]; loss = 0.014231 low_pass_filter = 0.300
+Epoch 0: | | 12349/? [2:09:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 12350; scene = ['1b4dfb04c00df170', '9733a5e8b87112f8', '7a614b5217ce789b', '829ff23a442a9bf4', '9065a264d45b5988', '88481fd4383f352a', 'c9189661ee902cce', 'd511c29a12acffa7', '299e39e4c15762a6', '803ea65010dea476', 'd5dc2774d58f65f7', '28dab8d387301174', '4a71fd74c97d81a9', 'bbcefbbd8ed8f8bf', '3efbd58fb99b3abd', '15ffcb0d0b755cd4']; context = [[24, 71], [113, 169], [5, 58], [30, 81], [3, 44], [53, 111], [17, 52], [17, 55], [24, 73], [182, 240], [0, 51], [7, 65], [29, 81], [113, 159], [2, 61], [64, 99]]; loss = 0.015831 low_pass_filter = 0.300
+Epoch 0: | | 12359/? [2:10:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 12360; scene = ['9dafc61a5619845c', '9974ef630b3b0063', 'c0198b22b5015afd', 'f892051838c9ee27', '4b4d97c54ed93160', 'ebba5577b58ed999', '1acf1fda04e66de3', 'c4217c1a6b2d6381', 'fcf802fad585ff72', 'f028e6658136e9ba', '6fa4c2007a0bf94f', '81d88afd2654664f', 'cfe012ee13f32184', '7cb7cf6f9813487e', '7a92ae8d981688f4', '21ea2c8f2f914e52']; context = [[161, 197], [34, 93], [81, 128], [126, 185], [43, 78], [10, 58], [28, 77], [0, 50], [23, 61], [82, 120], [66, 117], [0, 35], [8, 53], [11, 56], [12, 61], [23, 70]]; loss = 0.014102 low_pass_filter = 0.300
+Epoch 0: | | 12369/? [2:10:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 12370; scene = ['5fef1486df3ebcaf', 'a77725cc9a2714fc', '10be6c45efe3a07b', 'f45d9482ec6bb726', 'b7972dcb1535d09c', '32bb7af20d91499a', 'acab5c82a3ec9f43', 'e6bd49192ab21f5d', '789bc3d0827b3458', '86e922e5d4069d1e', '5f8c4fdda0cf8f5f', 'b5d6c77bcf7cdf5e', 'd78279228e96c9ff', '1122ec33e71d8934', '83da83241d5d812d', '23ac0a975e7e789a']; context = [[61, 113], [75, 134], [28, 72], [20, 68], [10, 48], [3, 40], [21, 62], [27, 62], [11, 62], [25, 60], [92, 130], [167, 210], [34, 89], [46, 82], [12, 65], [10, 66]]; loss = 0.012654 low_pass_filter = 0.300
+Epoch 0: | | 12379/? [2:10:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 12380; scene = ['1ca4244fee70624d', '1cdde81ba9489e2b', '5c214c6cba1c63f2', '181449e704881318', '9935a6146886dfe6', '0c629299b723a2f1', '0313a1cc48ea7a60', '93b76b6f5bf0e5ae', '6dd9e3b237e3ebf9', 'aa49d6d1892aa62d', '2f3db5900d69a891', 'e5d4a92df47d7883', '3a74cdb34b1b79e1', '38f263a412fc1696', 'd7b1ea6c5fbdb3fa', '4252d5a3cbe7a739']; context = [[27, 81], [10, 45], [0, 43], [5, 63], [23, 76], [20, 77], [27, 67], [9, 60], [4, 41], [39, 76], [23, 60], [14, 51], [41, 92], [177, 223], [1, 47], [34, 77]]; loss = 0.013236 low_pass_filter = 0.300
+Epoch 0: | | 12389/? [2:10:20<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 12390; scene = ['741ebac263e5509b', '8a883029a958fa79', 'be7a580fe9665300', '0e4c27f2c15deee3', '031f129ff5a92a4c', 'fb2fc136084bf16c', '374de52fd395ae73', '5d120972a05d6520', '63b7ce1d8f536653', '0bffdf9852d6b17a', '0c844f4fc43d10a1', '28940119010f59e9', 'ed3419371f6b0b6b', '767a699a830c2e01', '9b17ad14b3f7ef4a', '78f8f80b5d2326ff']; context = [[5, 52], [38, 74], [5, 63], [41, 91], [6, 49], [215, 254], [87, 123], [28, 79], [2, 62], [8, 43], [11, 52], [52, 106], [3, 42], [0, 38], [1, 51], [31, 84]]; loss = 0.015017 low_pass_filter = 0.300
+Epoch 0: | | 12399/? [2:10:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 12400; scene = ['13f98ad49cdd992b', '981068a9d5b4e8df', '3860724e696db790', 'a3510c2a3ecb7271', '16c3333a33394e05', 'ab3ac1ab685dd2fb', '1638d45be05bad08', '19f18091790cb8b4', 'd07f942cbe5dbb23', 'a094ba1980c7d5dc', '2fff3b2844c2f1cb', '060888ad72a59ce7', 'c4b5cf9bba4c5620', '9bbdf26fda3f7aa6', 'fcc2ecb0bc03aca1', '25aaf991662b1392']; context = [[203, 262], [13, 52], [25, 63], [14, 61], [63, 118], [39, 74], [80, 121], [166, 223], [65, 106], [28, 68], [4, 50], [45, 86], [114, 167], [74, 127], [49, 84], [6, 43]]; loss = 0.017522 low_pass_filter = 0.300
+Epoch 0: | | 12409/? [2:10:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 12410; scene = ['2ba4ac8ad33f2604', '1b96b29b59396413', '9eb1cb80a1e94817', '5fec984bfa36becf', '06f73e2d9a53a6eb', '3685bb1168fb8031', '7332947ada1572b7', '3c0a13b7637af7fa', 'b1c71220312bd8d7', '68a85b63caa319b4', '20c639dc41a7bf7f', 'e465c16e4ba9fcb8', 'ba86985e5b570895', '97953d7daa82f0c9', '531a68aac3449fc4', '109af087e1df1db2']; context = [[139, 198], [11, 63], [8, 55], [98, 155], [46, 93], [81, 130], [29, 67], [4, 40], [8, 49], [24, 68], [14, 61], [68, 113], [11, 71], [63, 123], [94, 135], [68, 113]]; loss = 0.015846 low_pass_filter = 0.300
+Epoch 0: | | 12419/? [2:10:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 12420; scene = ['9672dc38502b0ba3', 'c4a817d11a8538c7', 'b663e4e4e1c815d6', '54d9fc8cdfeb4ba3', '62768f361005f19f', 'c39e1b941958e3e9', '25c1b05ef5f6e8ce', '25fccb9a0378348c', '3193e8bf21491023', 'c96388f9522a65b9', 'e6d924f92f44c985', 'ebf1a7e113d1cfd2', 'b86dc6a2be5101ab', '42df8c69e0daeec6', '95908390cfcab857', '0ba3d81197bde2ff']; context = [[32, 86], [2, 51], [5, 62], [7, 67], [42, 96], [120, 157], [3, 53], [13, 50], [24, 66], [31, 85], [186, 245], [114, 170], [15, 65], [16, 64], [5, 45], [9, 62]]; loss = 0.017263 low_pass_filter = 0.300
+Epoch 0: | | 12429/? [2:10:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 12430; scene = ['dd8fde8a32d68f55', '1ddf5f649fda04d3', '1234ca6ea49152e5', 'dcebb2fdad9ae60b', '1e3909f1376a2c4c', 'b996b08a423681d8', '17fde8abb55f0198', 'ac168a8c9e0e39fb', '0b96efcfb3e15497', 'c32ded7df94faf26', 'a097d380653acdb1', '5e00df3469fadafe', 'db6f388d9cf9da27', '392235dc5a7c14be', '88e020ce5aa6eabf', '52db89abd8555220']; context = [[58, 117], [54, 101], [20, 60], [7, 47], [2, 54], [1, 53], [123, 173], [3, 63], [0, 37], [11, 50], [5, 57], [34, 85], [10, 70], [3, 42], [9, 62], [86, 142]]; loss = 0.017087 low_pass_filter = 0.300
+Epoch 0: | | 12439/? [2:10:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 12440; scene = ['18711838050bef0d', 'a2ad27ccbfaa3a52', '006f24f8fa62a3b7', '2557d505c19c8b3d', '5f6b16b0e97a3062', '76754b00fc4f05cb', 'a41a1bcf7d09b4eb', 'ed3ec99c97d13679', '890e703ff66e180a', 'd4896139155e24c5', 'e87019343627db3e', 'd8f9cdd66d5a9ec5', '31bec714e9a163e5', '5054e805903470cd', 'ac9475b5f8128e87', '2aa779433bb5d794']; context = [[108, 166], [75, 117], [186, 238], [6, 55], [142, 187], [62, 115], [21, 73], [46, 93], [12, 65], [10, 60], [74, 125], [25, 69], [7, 55], [34, 77], [22, 61], [114, 150]]; loss = 0.013158 low_pass_filter = 0.300
+Epoch 0: | | 12449/? [2:10:57<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 12450; scene = ['e3008ddbedfd257f', '05de5bf626a48381', 'a5472b8884d218dc', 'b053f2ffb587f61a', '760fc73d0bcd520d', '80dcb25162875c87', '3b88293ca7f95129', '302cb40ec3d8d382', '51efd34095f8e02f', '877669d82404076b', '982713565101573e', 'f05c1d092c6ceb18', '5da91cae06b6bf6b', 'fd6698d9c1b2edaf', 'fac41d1437899793', 'dc667e96abd53c22']; context = [[13, 57], [81, 139], [21, 76], [84, 122], [11, 47], [49, 103], [73, 129], [8, 59], [16, 72], [2, 55], [24, 83], [83, 123], [37, 92], [17, 75], [104, 142], [3, 48]]; loss = 0.013235 low_pass_filter = 0.300
+Epoch 0: | | 12459/? [2:11:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 12460; scene = ['53c9804b50ad99ab', '876a49fd60e9f34a', '592feeb20bc84cb7', '025a7502ca9a1e7b', 'dafe4fbc82947a40', 'de137923eba18ca2', '62953cbca65ec62d', 'd7dd78631748f7aa', '9651f5e8192c6ce7', '1f3cc35366700ee4', '849906867edac232', '7a27a6891960cb6c', '87508ff0cb861f3b', '0be2e01e27a683b0', '7e038ad56d73e6bd', 'bf7605f947d3ed76']; context = [[21, 76], [50, 98], [153, 207], [50, 97], [7, 60], [10, 64], [25, 66], [24, 68], [60, 97], [205, 253], [29, 70], [0, 38], [36, 84], [16, 66], [5, 41], [77, 114]]; loss = 0.013406 low_pass_filter = 0.300
+Epoch 0: | | 12469/? [2:11:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 12470; scene = ['25d7392ac5ae9066', 'f148e790bc04506f', 'da6552eaffe605cd', 'c1549ae4f822eaac', '94ad9ac9d5fc25d1', 'c7fb40dbdfaf8c41', '93bcbc420d0cdeaa', '245bf94a48a16618', '82d29ba5b39e4324', 'cea2a93353c5eba2', '24fba0e6aa6af98f', '82c9062c870a1757', '6dde8ea549b04a08', '20045f4782cb52ba', '4245275cf50205b1', 'b45aaf0961467ac7']; context = [[19, 59], [0, 41], [2, 53], [2, 41], [125, 183], [31, 78], [115, 165], [26, 73], [14, 58], [4, 51], [70, 113], [0, 54], [0, 42], [163, 220], [6, 65], [40, 100]]; loss = 0.011390 low_pass_filter = 0.300
+Epoch 0: | | 12479/? [2:11:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 12480; scene = ['1d0de977f6c454e5', '24668195926b0c91', '8730a68b24c3678a', '7922209e3015f2be', 'c2ca510a4a1617f2', 'ace26d090e35b8a2', '328f4a1bb0f7419b', 'e2151e6bf7f90731', '611773875fdb8681', '0ba56b76de23eac4', '4cca2ad1cde55681', 'cae09ec1d132c91a', 'da0a55bfc7ac0d7e', '2a64843febb83d4b', 'c3e652ba1e5767c2', '67b8cd009c384c95']; context = [[147, 198], [74, 134], [66, 104], [58, 113], [72, 129], [0, 46], [37, 80], [26, 64], [4, 46], [44, 98], [3, 59], [1, 38], [1, 41], [5, 42], [4, 47], [3, 39]]; loss = 0.013718 low_pass_filter = 0.300
+Epoch 0: | | 12489/? [2:11:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 12490; scene = ['d6fb3fa038e51a8a', 'c438132086b87eea', '9741f78412e103d1', 'f8a1e5356f977310', '7fc8197294aef797', 'd484c8cd2da6c3f0', '4a407770636ca387', 'c7ea4a0328a41099', 'f46383b8d65c939f', '117e8772bf15a379', '7d2064524770c1e9', '53bb92dfd8a1f768', '01c40662a79169c5', 'b4f0f0d02c4b8aab', '7a0d4dd03dc3a3d1', 'e47628dbe502195f']; context = [[26, 64], [18, 77], [0, 38], [0, 50], [40, 94], [98, 140], [40, 86], [154, 213], [1, 58], [149, 191], [33, 70], [2, 54], [103, 140], [12, 51], [29, 69], [148, 195]]; loss = 0.011836 low_pass_filter = 0.300
+Epoch 0: | | 12499/? [2:11:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 12500; scene = ['72f99d3910e39610', '1f7d98ea73c32c36', 'bd92ad43a04f9997', 'cfd21e505b9804be', 'ab3352b378297865', '6430c99cf4d6174d', '9bbc20c7beeb031a', 'c9fa198ce1fad686', '0a8681094edc7832', 'cdaf697957c30177', '5ce43e240dbf8704', '4b549a864a5d14ca', 'f7d137267504d848', '0b10bd983b7904f4', '7d70f269a4d75034', '2010caa12547cec9']; context = [[123, 179], [144, 200], [41, 82], [20, 56], [14, 69], [51, 96], [16, 70], [40, 94], [6, 61], [5, 46], [28, 67], [2, 47], [66, 102], [119, 175], [8, 47], [22, 64]]; loss = 0.014381 low_pass_filter = 0.300
+Epoch 0: | | 12509/? [2:11:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=27.10, train/active_min_children_step=1.0train step 12510; scene = ['c3914b367617df25', 'c73ba4e9b8857f86', '5ac0f0232a8d4efc', '06860e1d99ae9f1c', '12b4e77493c77d39', '3bbecfbe6c975b01', '751c329e576944d8', '85d7f4e0a5ef8813', '585b9da654b196e0', 'c664dd620f4c4092', '901437aa5b5e7812', 'c1a315b8a9dcbf55', 'e07fd4afefefd0ee', 'a1569d2eafec1ab3', 'c9b40580823293a9', '968a7d82cfad0450']; context = [[6, 60], [174, 221], [0, 43], [27, 64], [36, 88], [52, 111], [22, 63], [11, 54], [36, 82], [7, 61], [31, 90], [215, 267], [74, 135], [5, 43], [0, 40], [39, 78]]; loss = 0.018633 low_pass_filter = 0.300
+Epoch 0: | | 12519/? [2:11:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 12520; scene = ['f57e10d5f52f4b22', '8ef506222a3c3e6b', '1e08ac1071c41111', '4a94b7b90f0aa61c', 'fbe8831635df9b7d', '2efcb0c561756da7', 'e6daa4ac25aebad4', 'd5057db712108c92', 'b9265a8827c5b4fd', '4562dc94213cd53b', '95387090e0043daf', 'd39f9e760c65086e', '0e72268501544770', 'd2eaa5c3772c2ba0', '55ea566a0298d91f', '4d347b9ec45c4a8a']; context = [[83, 139], [11, 52], [23, 76], [69, 118], [73, 113], [27, 74], [89, 146], [74, 122], [12, 58], [82, 118], [187, 225], [14, 69], [33, 77], [132, 182], [139, 194], [6, 46]]; loss = 0.012853 low_pass_filter = 0.300
+Epoch 0: | | 12529/? [2:11:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 12530; scene = ['7ff5cb13d38419ec', '11d2d3c8b02515a6', '990b5bccc9ec5219', '5b8556064467bbc2', '52aa39175c690eeb', 'd8f5b070231de1e7', '4e8658949aa96662', '8287287f0305b310', '4da0a7cb9fb12d2f', 'c15b01bb70c6a984', 'a6ca18871e71561d', 'b3b3f7695bb5ca32', '4710f8bab2373cea', '89d0df849e594409', 'ba3a701ae1a34980', 'c26962c23c8ab2da']; context = [[40, 85], [84, 124], [41, 99], [15, 70], [2, 60], [19, 62], [0, 40], [4, 58], [24, 84], [62, 99], [0, 37], [15, 57], [34, 79], [13, 72], [36, 93], [12, 70]]; loss = 0.011678 low_pass_filter = 0.300
+Epoch 0: | | 12539/? [2:11:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 12540; scene = ['611a703209b82415', 'eb6059040fefa2cf', 'cc9379471477aa68', '388f3f84cae62fff', '4e9d22f52c911e0e', 'dd16d8d3c1f7cafe', 'd5aeb9145e591071', '481b7b29b87bf543', 'd9887cf1bdf5589a', '1f8af6d19b8dfcbc', '225295c24d63c305', '27df0115a09d7a8a', '5ae7974a40e54506', '2dc825f560e48ede', 'dfe008802b69008a', '9919a90cca908f5a']; context = [[0, 50], [62, 99], [7, 57], [147, 192], [228, 270], [171, 209], [96, 150], [72, 114], [193, 248], [66, 117], [8, 62], [34, 94], [111, 169], [63, 123], [8, 56], [3, 41]]; loss = 0.013720 low_pass_filter = 0.300
+Epoch 0: | | 12549/? [2:12:00<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 12550; scene = ['8769f0f6650d769d', 'e58bf9d7af3ee289', 'cc66d286f13fb193', '0c2a293c53fc16a5', '4c48f3917eb0968c', '625ea47516e38745', 'c6ae39de68a36714', 'c5a29b91c95fcfc2', 'cab0d99928db8a1b', 'c17186792e856d1a', '2f0ada251c31a62c', 'c544bcc5c3f750e8', 'bec9aa809d6beee0', 'baec6e288417e039', 'd1fb2417deb8371d', '27c316947cc616b5']; context = [[0, 53], [142, 197], [4, 60], [1, 41], [70, 123], [118, 156], [10, 48], [32, 88], [90, 151], [17, 62], [159, 208], [51, 95], [158, 214], [76, 130], [7, 68], [67, 109]]; loss = 0.014998 low_pass_filter = 0.300
+Epoch 0: | | 12559/? [2:12:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 12560; scene = ['84e504fd32f299e8', '5ed76274f5543cfc', '4b91e3d10a227be5', '35e10408a07458fc', 'b22ecfd2e0500719', '6310e828b3588296', '48dd5e8585754cb0', '649a6b3a11e4355a', '50b2407be378b2cb', '52c7f7de545e4b71', '09454319bbff60b8', '1f448be55dacae22', 'db5bb3e9a305aad3', '537ede808cf89571', 'bca478c2af68d48a', '4ef6df5a3d7e59af']; context = [[13, 71], [11, 60], [86, 143], [14, 68], [19, 70], [42, 97], [10, 60], [14, 56], [48, 96], [13, 74], [6, 46], [193, 232], [103, 158], [10, 60], [49, 95], [0, 45]]; loss = 0.013541 low_pass_filter = 0.300
+Epoch 0: | | 12569/? [2:12:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 12570; scene = ['81e4aa61acacb1a3', '2500c47765259d25', '5c3edf95e971e6a1', '20cd6d5b5e0f84d8', '3f2eedb19a6a4126', '5fee2a8842119d20', 'd7fb7b88fd47f52b', 'daa5fb161dd14216', '513387f570e90685', 'fd963440562d481d', 'f7b81720b3bcaf7b', 'd570e5a0fb8cb0dc', 'b4c493d08ded5a6a', 'ec566b032c6b292c', '83367460bb8f8e08', 'fbcfc61c4359d53e']; context = [[2, 56], [109, 169], [237, 273], [51, 88], [160, 213], [0, 36], [25, 73], [125, 170], [8, 55], [6, 46], [2, 56], [31, 79], [70, 128], [5, 55], [8, 63], [71, 115]]; loss = 0.013345 low_pass_filter = 0.300
+Epoch 0: | | 12579/? [2:12:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 12580; scene = ['3b6a58f5e0a29f56', 'a7132b7deb50843c', '418c839e4a5e5bcf', '6a473050226aad10', 'fc96fc284fcbac43', '9b482a814f0a5481', '8d24e45a0fb34cd5', '262ca049a6cd4ded', '18dedb90ea5f4869', '88e7d46c7325e541', 'f45afc69c757f740', '522da2a710ac5837', 'aaa1ef2a365d7781', '3fcab25b002c8d8a', '0865ab5087227a74', '755be52fe347b481']; context = [[205, 256], [18, 57], [3, 51], [17, 78], [23, 81], [8, 54], [75, 131], [23, 59], [28, 74], [77, 113], [16, 62], [5, 61], [197, 250], [65, 109], [6, 46], [55, 101]]; loss = 0.015141 low_pass_filter = 0.300
+Epoch 0: | | 12589/? [2:12:25<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 12590; scene = ['936f328f3383e093', '66530b646b00a9d7', '0b4070d37e896388', 'e9aeda15b7117ce1', '4cd18aa0eddf1c14', 'cdea215558754e76', '71a56f5379e2f975', 'dcb8ad3a1428b56b', '6fab51a37edb7739', '9808ade599ce3b8e', 'e227d56dd6f178c7', '40df765baa02ddbc', '7c04cd39e6b4bd9d', '353ca9b87c6ea74c', 'e6bffe056df50f5a', '9803ee8dd12325ad']; context = [[15, 70], [14, 69], [57, 116], [96, 140], [4, 40], [117, 161], [114, 174], [18, 58], [54, 112], [2, 57], [148, 185], [35, 76], [7, 50], [107, 146], [92, 151], [1, 38]]; loss = 0.013013 low_pass_filter = 0.300
+Epoch 0: | | 12599/? [2:12:31<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 12600; scene = ['e003bf516d8380d0', '1f5fef0e8dff1dda', '49fc7971e1a19de2', 'd5c2c0f794aeb07d', '511c580f3b9a598c', '40dac910b77ca8a9', '8910ac17079c1bec', 'f12c4933214eb377', 'a18df9ef83e6c134', '9f594692a0d431e8', '11b2bdc0efd3da71', '737d27c217077407', '9c9143effcb947a9', 'c996e355e0895892', 'e99688db2c5583e3', '4af33be4aabe77ea']; context = [[15, 76], [210, 250], [5, 48], [9, 51], [0, 42], [25, 79], [47, 95], [4, 50], [6, 52], [0, 60], [137, 187], [18, 64], [109, 166], [52, 110], [12, 60], [19, 56]]; loss = 0.012810 low_pass_filter = 0.300
+Epoch 0: | | 12609/? [2:12:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 12610; scene = ['2101e505ce777ee0', '2115526d696f0157', '5defa00de7424f1f', '6800ac6887f5d57c', 'd6f6e44bb830dcb2', '3361ad53264a7c90', 'dd7313c8e8db7db8', '282fb38dd02724d3', 'e3e0aa84f64bd071', '4d77a7a57dc6747f', 'e6c460ceba829ebe', 'e192bb5ee91df962', 'b43d9f7c70f5caa0', 'fb3aa8b76598c008', 'afff928380f0e048', '4f762e17415650d8']; context = [[62, 101], [9, 64], [11, 50], [20, 69], [24, 71], [12, 53], [1, 57], [221, 273], [68, 113], [2, 38], [8, 63], [0, 59], [28, 87], [24, 68], [194, 252], [22, 73]]; loss = 0.015245 low_pass_filter = 0.300
+Epoch 0: | | 12619/? [2:12:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 12620; scene = ['6a1549e061340f9c', '9f5aa847faee27b4', '27474a9b81b5b915', 'd2dc639bcb77797f', '993c6c80f2eb7d43', 'dc88bf46941dca99', '9c2ec37ccb615cf9', '54cfdcc11f17f88a', 'e19f2bdf424cfcde', '7da47581ea5a7b74', '11bdc79f5f3fe36a', 'a95691c28a8c28a3', '249adc3e479b28b9', '33ec2bc6fd434fe8', '5f44c9c88b73aa5a', '2f56fb1ce3c46045']; context = [[71, 126], [13, 64], [12, 62], [44, 90], [34, 72], [115, 160], [10, 59], [14, 73], [35, 73], [0, 37], [18, 65], [46, 106], [9, 69], [8, 45], [7, 53], [15, 63]]; loss = 0.017049 low_pass_filter = 0.300
+Epoch 0: | | 12629/? [2:12:50<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 12630; scene = ['8b54ea3284f5c864', 'af339c9b95c07920', 'd90e1010470c6a9f', '9a281760e4332d8a', '34201d3bc1d0c0f2', '3f5020e5dc8240bd', '7fc6a4aef5aafaa7', '8833535b7cf3a3fd', 'f1afbf6f673bac06', '6b22c6f4e8d8e300', '2c1c950314fbbbea', '47c95716c4f414cb', 'af86063cb2beb55e', '1ffe552668b190fb', '3a6ced6a3ab9a9f6', '09f980865436e18a']; context = [[43, 91], [48, 103], [4, 41], [48, 102], [25, 65], [13, 63], [1, 46], [135, 180], [0, 36], [33, 77], [11, 53], [26, 67], [42, 86], [9, 49], [53, 97], [67, 114]]; loss = 0.013567 low_pass_filter = 0.300
+Epoch 0: | | 12639/? [2:12:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 12640; scene = ['1f89d2abce700708', 'b7d4e01b90e2c28b', 'c8a1f2c1e73ff3d9', '84339271308b5cb6', '7acc85ef88e5a186', '7e858407f6705790', '2ec9b3196d12c94d', 'c40a2ea96f6a035c', 'c6da0d81f35e345d', 'd253a755fbd1d015', '80d4d02464edb6e3', '0dab6f9ed41bf09d', '257ab5c1a83a0664', '8836f80f85832118', 'c53f5fbaa207e94b', 'dec79f9feb754ed8']; context = [[1, 48], [39, 76], [12, 65], [178, 230], [86, 139], [99, 142], [169, 211], [1, 40], [84, 132], [0, 46], [124, 178], [62, 122], [5, 47], [12, 63], [83, 137], [3, 46]]; loss = 0.013186 low_pass_filter = 0.300
+Epoch 0: | | 12649/? [2:13:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 12650; scene = ['0ea602343e77c593', 'fa3080b291d02ee9', 'c7f1be8551fffb8e', '7b80aa09b7f21186', '984ffd413db16533', 'ef2a0c327852b774', '8dada1b00a394314', '83ebc32def5a3967', '50d0d7cf5b19eeee', '59e94a32e670efd7', '00ed6136c07aea5f', '2ddca670dbf7e68b', 'b525fcb10bc9f521', '18179ad32046b970', '6545f7e52e14be0f', '5bddd89ef33f5bfe']; context = [[17, 64], [45, 104], [16, 53], [14, 54], [10, 53], [115, 156], [29, 85], [81, 136], [53, 105], [25, 84], [224, 262], [110, 167], [91, 131], [22, 69], [17, 70], [18, 54]]; loss = 0.014840 low_pass_filter = 0.300
+Epoch 0: | | 12659/? [2:13:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 12660; scene = ['65cdd012231a757c', 'cc8ca5db181e8bce', '8ac83ba3156df8d9', '5ab8bfe8240ec91e', '504f84dcd4f6fd4c', '54a791c692d770ec', 'e3330c1feb8b3ee0', '1613fefaad02972b', '85ca66628c3b583c', '9741cf7012a04c9b', 'ab4c74b2751a2306', '551fb8535c0aa256', 'bcca779045d62e67', '82f678db97e94615', 'aceec8149ba6e75c', '56a9d7a35cdf2274']; context = [[142, 197], [100, 159], [90, 128], [5, 45], [68, 128], [4, 52], [34, 72], [2, 57], [3, 54], [30, 72], [2, 42], [13, 69], [46, 102], [10, 63], [137, 179], [10, 46]]; loss = 0.014539 low_pass_filter = 0.300
+Epoch 0: | | 12669/? [2:13:15<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 12670; scene = ['876b693d043b22e9', 'e4b86bcc4becf58f', '17f47ff41a55a6e1', '29e96416e5219b28', 'dea498ff8b8ab6f9', '72eec921256814f8', '15b37a12fbda65da', 'e8e3024887fb5d1e', 'b992a00ff88142ee', 'ccce87db395e4763', '6d5e73f24d60de17', '0c2dec20ab27ba71', '7973781f09bbc41d', '0b4dda84eff7509b', '2f87265d1c21584c', '664a0d29187fa61b']; context = [[128, 165], [55, 108], [34, 95], [95, 145], [10, 60], [21, 57], [48, 92], [18, 61], [215, 252], [7, 43], [2, 56], [186, 233], [20, 68], [170, 230], [12, 60], [101, 156]]; loss = 0.013780 low_pass_filter = 0.300
+Epoch 0: | | 12679/? [2:13:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 12680; scene = ['27b5502283386ee3', 'e598c6c4d23a5619', '4213a78b00a65962', '4dce6855bd78d472', '463a721c706cb237', 'bbd574fc81d02bf9', '12adbd00ee2b3fcc', '9a072cba9997acf1', '7043e8afce176c8c', '4e69d635ba8e495f', 'a48e4e90b76cc3a3', '4eb66b49aeb1d641', '9f911b9edb921010', '12a8561544c97948', '6888f7ca14081419', 'b6974cc96a02e9e6']; context = [[0, 52], [18, 67], [166, 211], [18, 71], [110, 159], [100, 155], [52, 97], [10, 64], [28, 72], [5, 49], [0, 51], [27, 80], [48, 99], [123, 173], [13, 71], [8, 47]]; loss = 0.010461 low_pass_filter = 0.300
+Epoch 0: | | 12689/? [2:13:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 12690; scene = ['9fdeb0d1eeb78a3e', '30191495233db79a', 'ea8dd7144f70a1b0', '186236edb339f199', '8caccc97dbc76d19', 'd084bcb064ea2f55', '669a178ba2796066', 'a490e682ff266afe', '6738f8412043189a', '0476466b02a84b3a', 'd705175cee467a2f', 'c86ccd2448e8735d', '66a09cc7f5e4dbc8', '37ff350eba2c5f64', '10810c921b4b3f84', '008d5bc870d12c22']; context = [[4, 43], [30, 85], [18, 66], [33, 80], [4, 60], [1, 41], [163, 205], [148, 198], [77, 113], [25, 85], [138, 175], [38, 78], [6, 48], [118, 176], [9, 60], [146, 185]]; loss = 0.012897 low_pass_filter = 0.300
+Epoch 0: | | 12699/? [2:13:34<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 12700; scene = ['395b32343999e1a7', 'cc067bb3726f6dba', '6a3752b1792ce8af', '55bcbb1d21f88c27', 'cfa669d1520d3599', '992f1f0a1f9a6047', 'e83dbd16dec37e43', 'ee6b9ef2d2ea8772', '0eaec5ae110ae727', 'f8b1b1dee0f06037', '3f4ca1ecea630686', 'db03a39f685c9f43', 'e07b8e5f6e9fef91', 'e6a8bd88834f30bc', 'a32fc3de0b32b930', '9b8641a671477a0b']; context = [[7, 49], [30, 73], [5, 46], [1, 47], [16, 55], [34, 94], [48, 93], [5, 49], [41, 90], [95, 131], [8, 69], [6, 47], [81, 128], [75, 125], [5, 66], [1, 49]]; loss = 0.017320 low_pass_filter = 0.300
+Epoch 0: | | 12709/? [2:13:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 12710; scene = ['09895c510108d81f', '623703e844f4187a', '1d2c9ffecd057d36', '16a3dad8315912bb', '312cd12b9be29819', '3afecd065021c4c0', 'ed9391a68fe3d44e', 'e6028373d0388cea', '05aab341d9f7cd51', '2c6974c8d0fd6426', 'ee1dd370404cf055', '3eadb758df91389b', 'e43f122db47a227c', 'e897826c02fc4e95', '047b29485a1bbf20', 'dfeb6ffe305dae3c']; context = [[4, 59], [40, 78], [3, 51], [5, 41], [16, 70], [19, 63], [16, 52], [3, 56], [8, 65], [91, 146], [55, 106], [85, 127], [34, 73], [152, 193], [32, 82], [0, 39]]; loss = 0.014575 low_pass_filter = 0.300
+Epoch 0: | | 12719/? [2:13:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 12720; scene = ['092892ba7b6943e0', '19453dc7ad86af4a', 'f518da7a7d6bd238', 'b9e60d9c662753fd', '88b813a9ea188da4', 'fa9d2ad5cf2976b8', 'd05f90bd3cccd46d', '7aa0b50241a5f34b', '635483ea0dc4688a', 'adb6466984682058', '8c0d65a1ff16750c', '9105f7b56c8f0dc3', 'a0c2f0fbcf80947c', 'ae1e3e3e94a1bc1f', '09498213ce457bfc', '42b16ca6b3d0963d']; context = [[29, 85], [11, 58], [81, 133], [92, 148], [24, 61], [0, 52], [100, 138], [8, 59], [106, 166], [13, 72], [19, 61], [2, 48], [229, 267], [30, 80], [56, 96], [41, 86]]; loss = 0.013186 low_pass_filter = 0.300
+Epoch 0: | | 12729/? [2:13:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 12730; scene = ['cb797cd30542e55c', '88d67718b0e0e025', '7f172f67f7c6fb69', '8e15c3ce3989dc4f', '2243808dcedf81c9', '0832ad3a8f7c0ffc', 'cf78433dadf58175', 'ea0ae256b3a02a33', '1e100eeadbff952c', '7572cf78733b5e04', '7d57da90fe515efe', '3194e3f0b055e8dc', '4a89e97b07d6df39', 'f5e0ec8c8b425744', 'e8c396f3fd0a0fe8', '0a078b3668869105']; context = [[12, 73], [4, 44], [19, 65], [161, 202], [17, 64], [185, 242], [9, 62], [8, 54], [68, 124], [127, 182], [14, 59], [8, 53], [32, 69], [38, 83], [13, 69], [49, 99]]; loss = 0.011681 low_pass_filter = 0.300
+Epoch 0: | | 12739/? [2:13:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 12740; scene = ['7fa967710229854e', '68fe4c264682a4af', '8f143f06559309e6', 'c90c46a5a1c95c0e', '2ba70c51fe7b9b31', 'c6c114f98ad69a02', 'd2d3474ebd2be7e8', 'de13992d44e86ff6', 'a9f2052b7d3608a7', '446f07aceef2d476', '7365ce0b48a28351', '186027b25dee6234', 'ae25c3b3bd733c0c', 'c5223ef0da739843', '715c63bb45248252', 'fa1dfca0f0dd4bb1']; context = [[9, 45], [7, 67], [155, 197], [59, 101], [25, 65], [193, 254], [3, 53], [10, 49], [34, 81], [37, 82], [70, 121], [92, 129], [10, 67], [20, 72], [18, 54], [16, 73]]; loss = 0.014847 low_pass_filter = 0.300
+Epoch 0: | | 12749/? [2:14:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 12750; scene = ['cf40de219c17f028', '0d25405292bad7f5', '94b3131d49d0062e', 'ee900fdc0e91edc5', '20607fd2e40f16c9', '5ea5a5ed231c5753', 'daff359bb3c9a72d', '0f6bd86d073ffa4b', '6d1341b87237bb6a', '82cdc87bb2169311', '9aecffee631175f9', '23455f0f5d2567ec', '7be1f03b786006fc', '8d2cc65bc5823183', '3de83835be367bdf', 'c386044808598461']; context = [[83, 121], [16, 75], [41, 91], [174, 235], [51, 98], [4, 53], [103, 160], [77, 135], [1, 58], [172, 224], [176, 224], [29, 86], [47, 108], [31, 86], [7, 68], [7, 63]]; loss = 0.013936 low_pass_filter = 0.300
+Epoch 0: | | 12759/? [2:14:12<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 12760; scene = ['7eff5e9e76ba5d7b', '43866713556dd0ae', '6f4af7195e3a97b7', '19e3eac3e025c3e8', '29554b41586a7db6', '59ae8e2d2504d760', 'b71a0cb9f4143a6e', '48cebddab872c439', 'bbaa2254cc65ceac', '3731e5cc943c4ec0', 'cc061ca8d139f499', '0069fbbde9f77bf8', 'cc80de7991d73ab0', '2b58d1bbfac7511a', '45a74c68ea76c91e', '83d4b54aeee30945']; context = [[7, 45], [24, 72], [59, 105], [25, 83], [135, 171], [25, 86], [7, 53], [6, 67], [22, 68], [7, 64], [106, 159], [171, 220], [10, 66], [0, 42], [175, 234], [35, 75]]; loss = 0.014476 low_pass_filter = 0.300
+Epoch 0: | | 12769/? [2:14:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 12770; scene = ['4734e02082441a9e', '7b794ebebffe09f6', '209dadd5726fd0eb', '1f4505aceb623cad', '8d64e74fe905ad2e', 'd0ec88df750371c1', '8266cb4dd06d753a', 'b4a0e7d971e39e2e', '435662fd057e76a3', '3fd7cdb6f823bb9c', '966fe01da602a653', '9abe0db0374db859', '7634ccdf6c344129', 'ff48623caeaa8f9c', 'd245364fcccb1139', '70a51dc88d4ff701']; context = [[48, 109], [27, 70], [23, 68], [52, 103], [31, 87], [65, 107], [128, 184], [112, 168], [9, 46], [14, 51], [5, 50], [46, 98], [10, 69], [93, 151], [1, 39], [60, 106]]; loss = 0.014821 low_pass_filter = 0.300
+Epoch 0: | | 12779/? [2:14:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 12780; scene = ['369fdb50d48334e8', 'c54760d0f4deddf4', 'fe3eb89cdb313955', 'b4a621ff4fc39bb6', '852820a2465b9c4e', '13b21c39447af9bd', '200606f30d491ae2', '2cd22b0b79056c47', '90a032cca2f3549f', '2e8464d78559e7df', 'd4fc8c1bb4207683', '016d1174aa2a9c93', 'ace9cac554725d2d', '809ea9970b0c9ab3', '927078aa7b644dc3', 'cfdae9ffd278d230']; context = [[2, 50], [106, 160], [1, 54], [71, 110], [29, 69], [27, 72], [2, 42], [54, 100], [12, 63], [56, 102], [32, 76], [18, 69], [20, 71], [81, 134], [36, 76], [155, 192]]; loss = 0.011950 low_pass_filter = 0.300
+Epoch 0: | | 12789/? [2:14:31<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 12790; scene = ['55595976706bb7a8', '98d47fe7993b4d5f', 'abe6335b937ba7c6', '1a7acfecead6ac94', '5195d6199756de8b', 'e87e2f59ab625c36', '6ca7f051fa8000be', '202804795c8dc7d9', 'bb3e352ee6959d9d', 'aa1de687b9ca8b3a', '0e895dab0c10b89d', 'ea163c23bfbd7529', '08abaadc249c6402', '28478600e3b81375', '9d12753fac2acd44', '603316b1dc24f110']; context = [[7, 61], [38, 92], [55, 114], [105, 162], [16, 72], [23, 72], [140, 197], [50, 97], [8, 45], [10, 49], [102, 163], [0, 43], [32, 87], [4, 47], [8, 46], [46, 87]]; loss = 0.013412 low_pass_filter = 0.300
+Epoch 0: | | 12799/? [2:14:37<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 12800; scene = ['abaa09068432a694', '806963c2d53faf94', '172722bb9e5e9e55', 'dc1110b7701f6293', 'af4d7b5f270b9f1c', '8f22e9a311fc7127', 'ce04d2f0e461e2b6', 'e5da5035d5cf1047', '81954eeb7c50183d', '33b094a2689a86a7', '360a1eb8acf3065c', '959dd47373e8175f', '6588226fc3f5e56c', '1fa21f92277aa22b', 'a409fccc9703df36', '418a9c10a5c2542f']; context = [[14, 66], [67, 104], [8, 45], [38, 83], [7, 63], [1, 62], [3, 48], [19, 65], [4, 47], [5, 56], [70, 110], [12, 65], [26, 67], [10, 51], [58, 106], [49, 93]]; loss = 0.014664 low_pass_filter = 0.300
+Epoch 0: | | 12809/? [2:14:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 12810; scene = ['51c08f281fa58279', 'ab0bc4f20f980b5c', '02f8df567f0c3db6', '2b1f47da224557a3', 'a3b6faa8d238d993', '85a7c0a79d43409b', '9a0f4211c26316ec', '13e4423e7785869c', 'f44b9aa76a94a0a3', '7ee115fb205f848f', '5dc01b6fd67b6f09', '2a73d7c5a8cf0fbc', '4f31c3d2031ae29e', '7371502a3bed5b0e', 'c650dda53967eb05', 'ac6a1e0b83cd7826']; context = [[111, 165], [11, 54], [31, 79], [11, 69], [4, 64], [55, 109], [11, 61], [57, 93], [12, 63], [46, 91], [115, 176], [0, 59], [81, 141], [30, 71], [87, 148], [30, 72]]; loss = 0.012695 low_pass_filter = 0.300
+Epoch 0: | | 12819/? [2:14:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 12820; scene = ['491e340a53f1c0d2', '20e52dd69adce3bd', '7af3ae39bafa42ca', '49a3f7ae3a565531', 'fdea8b88ee5b83c0', '7c03b5dcd8d67884', '4d8ce79fe1dc76ea', '546804a3b5faccc6', 'bfce2ee21425a4b1', '849b0e2f4bfbcf5c', '314ffe1c4140684e', 'a6de99319d52aaa4', '4f0426596f5d2a4f', 'fff923a9b6bd66d0', '4f73c98468777026', 'fba4077e3266cf2a']; context = [[9, 48], [28, 74], [31, 87], [91, 129], [4, 59], [64, 123], [39, 77], [36, 72], [33, 75], [48, 101], [68, 107], [23, 84], [13, 62], [84, 120], [30, 70], [28, 69]]; loss = 0.012539 low_pass_filter = 0.300
+Epoch 0: | | 12829/? [2:14:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 12830; scene = ['fa2dd55d59f24505', 'f1dfd9f275bfdb2b', '0eb1437262133d78', '44938f8bd7d83590', '5a66511ac6a1087b', '10e61d26bbf88ffe', '5edf50794aa6642b', '60d3394314e4efd9', '5eddfc08b9bd5a98', 'd01dd4fb24911f98', '65511bfd833a3a0d', 'ff4b76ff0f5bfc75', '0f75ecf6fec789f7', 'a8d975df36c1b227', '34b3c1927baa0aa4', '77052d5d9b052368']; context = [[14, 64], [56, 93], [37, 89], [41, 99], [49, 104], [34, 73], [57, 110], [84, 139], [0, 51], [72, 122], [35, 84], [15, 63], [40, 97], [114, 169], [1, 58], [130, 179]]; loss = 0.019938 low_pass_filter = 0.300
+Epoch 0: | | 12839/? [2:15:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 12840; scene = ['d51efc546a523318', 'da85e1680f6d70e4', '665220b8553895a5', 'f955ea0251fbcd9a', 'f513284ad5c6dcad', '49857bd0043463c0', 'f6540401991f7640', 'da363ffb684c74f2', 'cbe739c402564492', 'a54eb0f2f3d2935a', '7cfb95e305eef1a9', '2133d448d2686235', '70e5a51e17c67946', 'b1a52a6ba86992e3', '568154cb9f9a9bf1', '6961b5dbb9ff9278']; context = [[4, 62], [9, 45], [41, 81], [1, 38], [39, 95], [27, 80], [47, 84], [163, 213], [15, 59], [93, 146], [1, 51], [114, 175], [23, 66], [0, 36], [6, 49], [27, 79]]; loss = 0.013217 low_pass_filter = 0.300
+Epoch 0: | | 12849/? [2:15:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 12850; scene = ['c61fa9582ea4c8f1', '17d2ed0eaffedbea', 'dfca026ac8e6d5b4', '24f85026de7868d8', '4853d578da5d72f1', '8d88fcbffb878e51', 'b9d021ee08c7e2a3', 'd308f019346aed90', '3ec9b76cab1555e4', '958596ec1ee3a839', 'f8e7bd9e403fc04a', '252ab646bcd51b88', 'b43f32da9a7800ee', '43f17977e6afe5a0', '30df31bce0d6b16a', 'd73c09ac36dd02b7']; context = [[8, 44], [16, 65], [94, 147], [18, 64], [6, 62], [0, 62], [60, 112], [3, 40], [43, 83], [48, 97], [1, 37], [98, 136], [29, 79], [1, 42], [0, 37], [43, 91]]; loss = 0.013535 low_pass_filter = 0.300
+Epoch 0: | | 12859/? [2:15:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 12860; scene = ['33d57adf7f083810', '7bd45958f4294e5d', 'b4d9ca354d107842', 'c693556362b23f52', '8a4de0caa5254578', 'cfc77a497899104e', '2d9a74385c3282ca', '1bd27c993ee5d989', '69eb9b519036e21a', '2f7e3bbe426dc114', '64f5cdc51f304146', 'b8766133be5a4e74', 'afd2942e07cd0a89', 'e1e06af93de0e70f', '874e813188a281e4', '4905dd1533b8ffb2']; context = [[16, 77], [8, 54], [70, 109], [130, 182], [28, 90], [18, 61], [210, 266], [128, 184], [32, 83], [20, 82], [138, 197], [24, 82], [23, 62], [10, 72], [63, 103], [199, 254]]; loss = 0.013871 low_pass_filter = 0.300
+Epoch 0: | | 12869/? [2:15:20<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 12870; scene = ['2700b330f81529e5', '8e2322cd777dd1d3', 'd9bd46334d64e003', '2560583c1c055283', 'd074517a27f42b13', '9a1aaf5f24aa2a5e', '2372aff00a40f755', 'd5efab3b2e97e245', '926a321c84a8d936', '1db26a7342ed639e', 'bb95992ebf558470', 'a42c49fb21e8ca6c', '35ad8c5fb608fe71', '1da5e61eb7a97471', '31056e2cf25c5b94', 'a1f8c279eaca219f']; context = [[121, 159], [20, 70], [8, 50], [31, 70], [29, 86], [12, 67], [78, 136], [5, 51], [41, 97], [59, 110], [23, 80], [76, 116], [44, 92], [72, 115], [3, 47], [5, 61]]; loss = 0.012911 low_pass_filter = 0.300
+Epoch 0: | | 12879/? [2:15:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 12880; scene = ['0a586fd4bf0fab33', '28a61b0671b98d3b', 'dff6e57bcf52850b', '3d9f44d7bdd0796d', 'f4b06ed6e137cd5d', '42000d5a83b48ee4', 'bd99ad1d47bb9005', 'd2dd3b46d9903314', 'a0b45bab75d35ee0', '04b859d3d26366de', '2bfb1fdeb47c139d', 'b1de49fea231bb59', '0ce0280408216d05', 'f92964360d184d99', '625e3aa0ff734714', '82342deffd4fe504']; context = [[51, 109], [28, 75], [23, 76], [78, 138], [181, 223], [32, 69], [14, 54], [103, 142], [5, 59], [6, 49], [90, 126], [41, 80], [61, 116], [2, 40], [27, 88], [110, 150]]; loss = 0.016994 low_pass_filter = 0.300
+Epoch 0: | | 12889/? [2:15:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 12890; scene = ['4e9db3bc5db9f691', '81799d5c1c752aff', '635b7050eda9f5a1', '8310b90e53222e9a', 'e2fabc6f3b47cfbb', 'dc1ef4038e61fff7', '03280514551fe5f1', 'cc1515a91bc7b9f6', '1a464079ddbe1d59', '223d9839a448d851', 'b662f354bb50dc53', '64b30e1b3108384e', '2b6f17c36d275612', 'ac922386da39b302', 'c1992bb8b28bcc01', 'bef3852ecab6980b']; context = [[123, 173], [1, 42], [16, 62], [208, 248], [98, 134], [5, 58], [70, 123], [17, 68], [90, 144], [146, 198], [30, 85], [141, 186], [33, 78], [127, 173], [19, 77], [62, 99]]; loss = 0.014695 low_pass_filter = 0.300
+Epoch 0: | | 12899/? [2:15:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 12900; scene = ['208d8bd420d5ae84', 'd4526089dcdeca47', 'db999dde95ae1ca2', '15300277e84db888', '8774981ec66bb258', 'cc3fd68dde81b99c', 'd6c0a3a33f6f38fb', 'b54ba5c46655231f', '4f5b3ac56f06c59f', 'd6a92c9fc0e93fcb', '27e25582bc09a0de', '697e5db37b8f4789', 'c26c2e3257c2d464', 'b36e08c9639805a6', '7e976bc0f1d6a254', '2e8d7c7897b54d07']; context = [[0, 56], [181, 217], [1, 37], [1, 45], [127, 174], [70, 121], [66, 118], [144, 206], [106, 152], [20, 70], [99, 139], [59, 120], [57, 94], [41, 96], [63, 102], [124, 167]]; loss = 0.015641 low_pass_filter = 0.300
+Epoch 0: | | 12909/? [2:15:46<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 12910; scene = ['e1a70992f73c5b37', '7ad3c6fe04b279ee', 'a831d37e59002526', '2ac56a8829302097', 'a2240803a46855d7', '30f5ccb2582ebdd3', '0280e393cd4ecd02', '5ed84eb32582e007', '04bea0ff2ea6a71b', '78a491efd34a6591', '117084f0d6d10590', 'be615b1f1f845b0e', 'e649e3010fab6d40', 'a2a821c5b614e96c', '860f23a10b0bc952', 'a0cd80f2815b8716']; context = [[30, 81], [6, 43], [35, 73], [141, 193], [75, 115], [0, 37], [8, 61], [31, 70], [0, 58], [5, 52], [0, 40], [194, 251], [27, 80], [33, 76], [49, 108], [45, 97]]; loss = 0.012468 low_pass_filter = 0.300
+Epoch 0: | | 12919/? [2:15:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 12920; scene = ['a9b44c60b6940e3c', 'cbae7b8786bec1e4', '162daefc4ddae544', 'a5b3faa684a1553a', '7dcdecb79cbb1334', '503b736751827a0b', '31c1855b8ad30220', '363ee2c7afc81e84', 'd8cb9464bd861be4', 'e7e9cd3b53ca4e22', 'a772b5f2e834d70d', 'a63650c91b0f17f3', '39ec3b2db75292f9', 'faec25d661aebb70', '7d1d5f8c68d8e947', '41b0325496a3b8d1']; context = [[77, 139], [93, 143], [18, 54], [10, 70], [32, 68], [157, 207], [28, 76], [79, 124], [0, 38], [73, 123], [130, 172], [21, 83], [102, 157], [198, 248], [8, 70], [63, 121]]; loss = 0.014584 low_pass_filter = 0.300
+Epoch 0: | | 12929/? [2:15:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 12930; scene = ['11e957df6d221c04', '400560c62e3de24c', '44eb2c67b9c0b4f6', 'bf5769b070b5af9f', '69021acc70411fbf', '8ea8e261b1221b3e', '4280ea1ea85c43ff', 'e4532151b691dd37', '24d0c50b0d08445f', '905511ad5e23a6e5', '49ae06a8c3eecdb6', '705be65c924cf493', '5c94f503e4e84163', 'f9439e8dc272843e', 'a17898923fa069b5', 'e865d846466cb59d']; context = [[95, 133], [125, 168], [68, 121], [2, 52], [70, 113], [6, 68], [19, 77], [8, 56], [51, 93], [7, 67], [85, 130], [18, 60], [6, 57], [4, 63], [36, 87], [33, 80]]; loss = 0.014829 low_pass_filter = 0.300
+Epoch 0: | | 12939/? [2:16:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 12940; scene = ['bcb825ddb88f6a3a', '083888ddd44982da', '3d815e82280adf55', '41c72cd693116118', '09c8aab6df495141', '99e60f10e4d0acb3', 'e81ad0d1b43649ef', '9164e11049261164', '962bb93ece5a86c7', '654b984035c8e861', '82287431217a5884', 'ba76ae55718c204b', 'a6231e1d75daab63', '84492f306580629c', 'e8b0f3ad0f6553ea', '4c2eae92b9b0e03b']; context = [[159, 199], [104, 143], [116, 152], [18, 55], [3, 41], [227, 277], [83, 124], [27, 83], [6, 64], [2, 63], [189, 235], [9, 69], [30, 84], [0, 46], [1, 37], [13, 57]]; loss = 0.015597 low_pass_filter = 0.300
+Epoch 0: | | 12949/? [2:16:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 12950; scene = ['8881315dba2d37e0', '4916da886a9554a4', '6e38d2e032c9eb99', '9a3bbf65d1d793ba', '51ceead3b54614e0', '17184d711324a8e4', '210c87d2cca1aa80', '61e79b9fd877be55', 'a29c383c37994c30', '3d1e57019408dff5', 'e966bf8e70c6eb2d', 'eb0bf3adf256fa83', '2c46b6ebb84b22f0', '3a3cacf70f6d49dc', 'ccad848ce291de16', 'b025a53b390b43c2']; context = [[14, 69], [196, 254], [14, 74], [19, 60], [36, 76], [21, 68], [104, 145], [203, 254], [40, 97], [54, 100], [9, 68], [24, 79], [72, 117], [9, 45], [43, 102], [20, 69]]; loss = 0.016453 low_pass_filter = 0.300
+Epoch 0: | | 12959/? [2:16:17<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 12960; scene = ['b1c7a57152e9c4b3', '16d832ffbb1e7932', '43ffd13c1c002f54', '725fac3f3405f504', '313c2ce83a17b22d', 'be52d7017ff4e5e7', '2ae0999e0eca3d33', '87027bc295a0e042', '33ffb0b94cec7ce7', '4a97b9d7a1594081', '30400d1809189f16', 'cbd4e58711dded8c', '8da6063bebe48d28', '3913ed9645529901', '512f1df8266be984', 'faa760d7d2c034ec']; context = [[121, 177], [12, 58], [5, 67], [173, 222], [4, 43], [15, 66], [49, 107], [14, 68], [9, 50], [0, 44], [68, 125], [34, 72], [9, 45], [45, 100], [8, 69], [43, 89]]; loss = 0.015384 low_pass_filter = 0.300
+Epoch 0: | | 12969/? [2:16:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 12970; scene = ['ed3943cd4cc04675', 'dfd13cc7c237647a', '69e0fa97f9a68c7c', 'eccf2be869b9e84a', '282251d1ef15c3fc', 'd35352a9381704a7', 'db58e56a77e22e0a', '77f88f26419a3065', '865d357681dd22f3', 'a6bd696e47aba3ee', '28357ccbbe8b3bed', '2aa3c28014bcbce0', '51d90b37d02bd775', '518d383bfd978431', 'f7c3f0aa3c54ce54', 'e2aa2f8345dbe263']; context = [[19, 60], [137, 197], [2, 48], [1, 54], [16, 64], [47, 94], [42, 84], [2, 61], [20, 70], [66, 108], [142, 189], [42, 81], [11, 47], [3, 43], [18, 67], [122, 176]]; loss = 0.016077 low_pass_filter = 0.300
+Epoch 0: | | 12979/? [2:16:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 12980; scene = ['b6ba0fe84eda0476', '2d8cb7be1e2f7383', '73e75f62ea5a620a', '724f9f3b50e2a778', '020be62e8d7528cf', 'd26a81d0bd4443b6', '6d02873a8e2a1124', 'b071ce2b817199b0', '105e6a039d9e486b', 'bcc710f216eaf9d9', '13e7b6934e6579c5', '859c9f522a98c5c3', '374040fd2830320b', '3851efdbf6c5998b', '7e84f5b757150df9', '66bb189563306d98']; context = [[17, 77], [16, 57], [8, 70], [2, 61], [22, 70], [73, 124], [167, 214], [95, 137], [40, 78], [5, 42], [19, 71], [13, 50], [13, 54], [29, 84], [41, 77], [52, 103]]; loss = 0.014662 low_pass_filter = 0.300
+Epoch 0: | | 12989/? [2:16:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 12990; scene = ['89459e16835bc413', '55ef33fd3e85686f', '5fee78a23615885a', '2572c333fdc8f033', '8847a800fc5a1340', 'd4e61c2dea8f9b3c', '1e5eb15309d11c41', 'a443f7c8cc2d44e0', 'cd3c99af3e6f1291', '5e751b977a518faa', '88f41cf59e85ad88', 'cf32e6a90df7f1f0', '7c5db86d341e9176', 'ed3d1d0539b10ee2', 'efa2de9e4ecc35c1', 'c343feccd0e79933']; context = [[0, 36], [0, 44], [5, 61], [102, 142], [0, 50], [0, 45], [30, 84], [1, 49], [3, 54], [37, 94], [0, 37], [4, 43], [1, 56], [47, 101], [2, 62], [3, 50]]; loss = 0.016248 low_pass_filter = 0.300
+Epoch 0: | | 12999/? [2:16:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 13000; scene = ['58d334d3f3518b39', '79e7a7de2af87919', 'd0f713088a1dbe7c', 'ed45976a35ed3fc0', 'afaf4cb0fe0d8bff', '595bf8d669a979bb', 'b14dc2418422d6f1', 'ef67dc096bd74aea', '76c9bd7be3e09ab7', '6799dafe522e51d4', '55eee87b61d361b5', '7f838a041ae7c8c1', 'feb5e3022fdc674f', '373f042a22f7d6ff', '05ed7f84c7d34ed9', 'e6ce213193d24e64']; context = [[114, 176], [2, 42], [58, 96], [6, 67], [42, 87], [31, 90], [63, 112], [45, 93], [3, 58], [100, 153], [57, 106], [125, 165], [5, 60], [121, 183], [29, 85], [24, 80]]; loss = 0.017526 low_pass_filter = 0.300
+Epoch 0: | | 13000/? [2:16:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0validation step 13000; scene = ['a76028640ffa1ef9']; context = [[181, 229]]
+Epoch 0: | | 13009/? [2:16:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 13010; scene = ['5709cb008a9cb9d6', '0d507e4ed6f74f50', '3db4b6f273920241', 'e54e03bffe8bd2db', 'f8b4176d2ae1af2b', '19531ca5571412d5', 'd665875819ade8c4', 'dbcbfa5009d3737f', 'd52730231fa8e38a', 'ed9fe965631b2f51', 'e5a4dcf034c38fc7', 'e0aeb18b259372fa', '901da44e3786eac6', '535fdf16906072c7', '06dd8772e77b7738', '1864a988dcd127e8']; context = [[86, 133], [61, 119], [17, 71], [149, 191], [77, 133], [33, 75], [0, 36], [1, 45], [69, 108], [0, 36], [10, 61], [138, 182], [26, 73], [5, 45], [8, 54], [51, 111]]; loss = 0.014856 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 13019/? [2:16:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 13020; scene = ['6ea02e383f1fd00a', '9d33bdd88ce8ec85', 'f593268320ee867f', '2876315f35920644', 'a2bb6c32f99a15ca', '4ee47d2221d5b867', '2486fbf81f40c372', 'd8ba8a4fb9c1c2e0', '95580012eee0db9f', 'd3bd7c9dac07234e', '0e229604ffe2f9ef', '0ba72677f1ca28b7', '089ffb7660d45b8a', '5c2fbf97c6d68f2d', '70dd3ef971caa54d', '89faac013c813ef3']; context = [[227, 277], [74, 129], [121, 178], [6, 57], [10, 68], [18, 64], [12, 50], [48, 108], [19, 74], [9, 52], [45, 99], [3, 51], [15, 64], [12, 49], [33, 81], [51, 91]]; loss = 0.015787 low_pass_filter = 0.300
+Epoch 0: | | 13029/? [2:17:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 13030; scene = ['576bcfdc62b51455', '235b7fe59778e1e0', 'eceeb7a49f302da9', '9260d88f3490f607', '62d410d4c07c6e22', '5b53a80cb89d88b4', '668431bcdb9ac7d7', 'cef1fe824ce087d5', 'cbc6de0c481e59cf', '1545c8f832540b70', '2a38a115c7fdd78d', 'b2a5bee383cc062d', 'ded696beba889e75', 'a0e4826e71332c71', '58658f7de57fcdf8', 'e9b590c6993bcf66']; context = [[0, 49], [33, 74], [66, 106], [119, 178], [188, 250], [133, 185], [8, 66], [26, 67], [2, 45], [190, 249], [27, 65], [11, 50], [26, 86], [26, 77], [57, 104], [8, 52]]; loss = 0.017076 low_pass_filter = 0.300
+Epoch 0: | | 13039/? [2:17:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 13040; scene = ['24a5b18908fc004d', '8dd3b522ff68a4aa', 'b1b3c256fa38e565', 'cb1ecfd7427463e3', 'f1a9c18459064ac1', '50be6bda22ad172e', 'd326909d557faf66', '8f8ae0369af39264', 'f12ad81cca298e1f', '64b7578093d63639', 'bbec698826707bcd', 'de50a9dcf012713e', 'd50e7c48f102d70e', 'e4e8abeacac64ee9', 'bcd7ca7e2fd57cc6', 'a2dbfc443c201a0a']; context = [[18, 57], [12, 65], [14, 67], [148, 204], [99, 148], [29, 80], [26, 70], [11, 55], [9, 51], [4, 59], [38, 95], [57, 100], [29, 82], [165, 226], [150, 200], [20, 73]]; loss = 0.013539 low_pass_filter = 0.300
+Epoch 0: | | 13049/? [2:17:15<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 13050; scene = ['0b42ba93fcfa5d1d', 'd46f4b9834e7cb31', '2d8bd71bba7cfea1', '6f84a20abce9dcd1', '39d54c24ef63c2cf', '226c992e2623e73d', '26f5057b6879b8aa', 'efdfaea6c8f67e42', '9126619d94823757', '57c9507543d23a6a', 'cf8fbabc3160c580', '58972799d0de46a5', '13ff3000568af298', '8b83c145a4e49ae7', '059a508332a31e46', 'e995da36348c8fb0']; context = [[5, 56], [19, 62], [65, 111], [21, 59], [213, 270], [57, 98], [46, 103], [22, 69], [5, 59], [67, 118], [89, 130], [3, 60], [46, 87], [30, 86], [0, 61], [36, 77]]; loss = 0.016120 low_pass_filter = 0.300
+Epoch 0: | | 13059/? [2:17:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 13060; scene = ['4102c95a9026d0ee', '1b40e8f1f25b0e73', '5f07e3aa7ddc5cfe', '3c3a350286d1a451', 'cfc5f9298ced6d9c', '49fc667ff679205c', '4ad5cecab1988512', '6f8b6524e87dc23c', '98f9e6a5b0475808', '891b961086b8c3c1', 'f8f773a036b4752b', '6408008d0dcba73e', '370ed12221433e23', '362336fc9e531a0a', '29be873a2a69e242', '31e2cdfefddcd14c']; context = [[39, 80], [56, 111], [59, 118], [120, 171], [6, 52], [27, 64], [133, 182], [133, 177], [175, 228], [50, 110], [22, 69], [11, 49], [19, 70], [59, 96], [115, 176], [2, 40]]; loss = 0.014265 low_pass_filter = 0.300
+Epoch 0: | | 13069/? [2:17:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 13070; scene = ['662baee2147c22de', '8b141848a7d1d6ad', '394de4fa1d5fa237', '1230aea04da867ab', 'a96f8969bb19b72a', '02215487bd135499', 'f6d0837b9aaa3b56', '160fe18df3c3a5f7', 'ea0002cb2f6fed38', 'aefd6880d19e9232', 'a0654f260935df3c', '8362b6b655cc9d6f', '160de455c93c4d42', '029fba664425823a', '15b72df6330ff79c', '091e13eaeab8d3ee']; context = [[144, 183], [4, 43], [1, 53], [56, 110], [5, 44], [18, 80], [106, 153], [10, 51], [51, 103], [17, 67], [87, 134], [44, 104], [28, 66], [0, 50], [10, 57], [37, 81]]; loss = 0.013606 low_pass_filter = 0.300
+Epoch 0: | | 13079/? [2:17:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 13080; scene = ['4418324bf9641975', '2af84d2d7d040b84', 'e783de3eb3d285a0', 'e2e4304fd1ab08bf', 'd2e14852ad022560', 'af8d1f77be2d8bf2', 'd7805a00c89f9ed4', '80a6a796ecd278ae', 'cc27844b3e7285dd', '7eecf8d8b64017b1', 'ffe28a6d6696278f', '4b7185a79978e486', '8c0235ac1048ca32', 'f652aa98c73bed1d', 'fdaa687ce9a07786', 'cf072ab37d9c2f8c']; context = [[3, 57], [44, 80], [40, 91], [25, 84], [35, 73], [27, 64], [31, 74], [10, 66], [6, 61], [17, 76], [1, 52], [199, 259], [61, 110], [14, 60], [103, 152], [101, 151]]; loss = 0.014155 low_pass_filter = 0.300
+Epoch 0: | | 13089/? [2:17:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 13090; scene = ['152d6d3ac836afd3', 'c1397ab617a28acd', 'a5bcf7c72eb10c48', 'cb6b282e7c44622d', '3127753a1ad207b2', 'f28bac496ee97345', '5176c714d2e72855', 'ed1cd4f9d797bde3', '59e7800dec3fa9f5', 'e4e90e143157bcd4', '5c12d0e4b30e7d1f', 'e80dbf2f8aa076de', '357ad9c49b80724b', '10e35fb0eb1b120d', '793708890c361a00', '956267e1db06952f']; context = [[48, 107], [95, 147], [1, 46], [1, 50], [8, 50], [2, 52], [7, 48], [13, 53], [62, 104], [43, 92], [81, 141], [0, 58], [1, 42], [5, 63], [7, 50], [43, 96]]; loss = 0.015766 low_pass_filter = 0.300
+Epoch 0: | | 13099/? [2:17:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 13100; scene = ['2fcad17f6d64f031', '3d25472e6c3c1656', '8cf3c521b190624e', '916b86f95631b480', '9a4d4f8962081428', '158ecf8d21e5af57', '0aacb7ba20d5b2de', '6ec5fec42f9856de', '4cbfe8634b73a1e6', '91fe7fba685c53b0', '10ac2115c6a95ae3', 'ed22594386b563a1', '41da3d3e9f892770', 'ca47232b7dfb2089', '86f3bbf2864c65f0', '63636dcaf9b864e6']; context = [[0, 58], [18, 71], [170, 209], [24, 70], [76, 112], [6, 43], [28, 79], [17, 70], [74, 117], [38, 78], [23, 66], [2, 42], [155, 205], [81, 143], [8, 58], [12, 67]]; loss = 0.013967 low_pass_filter = 0.300
+Epoch 0: | | 13109/? [2:17:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 13110; scene = ['18d6c850158b4165', 'c66f724401775077', '411cd9753a82d34c', '45c8ebb934f7442e', '74376eb028a5ffb4', 'ac56b8116af8c536', '861bad9244603e85', '57c4c871ad8cb634', 'fd68cfff861284e0', 'dcb10b5b0c4c3853', 'ca9b53deb1359193', '9e58f95fd4a31468', '2e2409e5ee0d8233', '5e6e2a1a1c382c52', '84f5ebc130318167', 'a56d066178264232']; context = [[104, 161], [164, 207], [114, 155], [97, 143], [8, 64], [60, 112], [13, 52], [10, 72], [0, 58], [0, 38], [43, 87], [6, 54], [4, 64], [155, 207], [6, 66], [48, 97]]; loss = 0.015773 low_pass_filter = 0.300
+Epoch 0: | | 13119/? [2:17:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 13120; scene = ['fb7e7365b4d61f6e', 'a6c70f7816a833ed', '3e05de98609eb531', 'ac704e6be22d4ffc', '4666c8dbed232754', '628f5c8e6181b647', 'c251c10694e56198', '94a0f9c12cb65e4c', '8c847be312ef6f7c', '6627158f8afd52d8', 'f5760f5bb83216c4', '48650d395590d25d', '7715cbb97d4c5712', '2578864dce7ca95e', '1c2a8dcc9d0b8893', '67bbca5ca2b592f3']; context = [[64, 114], [66, 125], [2, 62], [128, 182], [35, 90], [56, 115], [10, 69], [68, 111], [186, 232], [73, 115], [16, 54], [38, 86], [25, 79], [2, 39], [39, 90], [28, 69]]; loss = 0.012786 low_pass_filter = 0.300
+Epoch 0: | | 13129/? [2:18:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 13130; scene = ['2f2576739303f8d6', '5456ad8cc629cc75', '97e5b1b7d50474a2', '31d6eff6e628395d', 'e2ff80123009d26f', 'b8d3bc1a15392e95', '5036b3d4006fc38e', '715e8695976cdb61', '13205ed3f8a1e6e5', '2ce510cbb00a5b98', '5681ba36cbd7b536', '46508aed27d2697a', '8d9630d79798d048', '7f81377d11943daf', 'a3f4997a193d65fd', '1ebdc60a63a39cc2']; context = [[101, 159], [31, 69], [38, 74], [116, 174], [9, 68], [96, 133], [137, 174], [28, 68], [23, 60], [9, 55], [56, 115], [26, 72], [7, 48], [34, 89], [33, 83], [7, 62]]; loss = 0.013192 low_pass_filter = 0.300
+Epoch 0: | | 13139/? [2:18:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 13140; scene = ['652c66200c9455c4', '28920e3b0db2d48a', 'efcab7b049eeac51', '5502065c96e0dcb5', '25d3003b6ad24ff2', 'e1c60a5e0b091d60', '9b663ace2aa89461', '5ef111428d2f1048', '11e864e46aabc988', '2193bc2693b02611', '10b5685fa3312f93', 'bcf7850eb750b341', 'c49989d38900d027', '087e266555c5100d', 'c2b4196dc7787af8', 'da56be0a53c87ce8']; context = [[28, 76], [2, 63], [203, 245], [111, 165], [16, 61], [96, 154], [8, 44], [57, 119], [121, 159], [33, 75], [0, 39], [1, 59], [158, 211], [29, 65], [16, 75], [81, 123]]; loss = 0.018807 low_pass_filter = 0.300
+Epoch 0: | | 13149/? [2:18:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 13150; scene = ['ae333e7a76b1d130', '23c206eec5eb0455', 'd625f06f1ca09d8d', '195f7b5576b015d6', '9335a49eaf704374', 'cd8d792e818d2f0a', '2ab48c61b095860c', '73cc69443a1bcc85', '979583f22bb73aef', '643a17e2e87792a1', '90e70b66a637f14d', 'da500b24da7a495b', '8c42a0b02e4b80e7', '4d9de907289bb1b6', '61fbb526c33626fc', '3ba287815c2fa8bd']; context = [[2, 39], [185, 235], [10, 52], [50, 89], [54, 90], [10, 68], [6, 43], [2, 60], [56, 93], [1, 44], [92, 136], [8, 64], [143, 194], [101, 154], [3, 49], [33, 71]]; loss = 0.013723 low_pass_filter = 0.300
+Epoch 0: | | 13159/? [2:18:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 13160; scene = ['9001456359afb4e5', '34ec238bbbb9dd57', '12c487620fb54b3a', 'e11b15356cb16a5f', '71226cfe95601144', '1e1bd550daa0d3ec', '79e5fa7345e69819', '6f2781369a82d41b', 'b219243c6a108088', '00caa2b14cfc2603', 'de328be82ac43439', '325313dd798bdd45', '9f3e123c0a215292', 'd0c6680d3b6119ed', 'a2896f341ca7264d', '781216e5faefd183']; context = [[0, 41], [38, 81], [43, 97], [38, 94], [214, 265], [134, 193], [30, 78], [121, 178], [0, 62], [65, 108], [54, 96], [47, 89], [91, 140], [12, 54], [69, 131], [15, 71]]; loss = 0.012512 low_pass_filter = 0.300
+Epoch 0: | | 13169/? [2:18:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 13170; scene = ['54c2ffb9b031aa12', 'cc1665e6993bbd5f', '27f29330feb1619b', '5ca6f4c7bd808c60', '8481aa6143270581', 'a58982a3ce680e24', 'b03141d1d2429dcc', '0e72268501544770', '1c5523bd8867d068', 'c77a808062342099', '55ea566a0298d91f', 'c154a6957de15e6a', '454ec1076e5c68b2', 'd2eaa5c3772c2ba0', '95387090e0043daf', 'd39f9e760c65086e']; context = [[197, 256], [23, 67], [58, 101], [0, 58], [34, 88], [66, 128], [51, 89], [36, 81], [0, 36], [126, 176], [28, 75], [24, 77], [117, 166], [122, 178], [125, 169], [21, 59]]; loss = 0.015800 low_pass_filter = 0.300
+Epoch 0: | | 13179/? [2:18:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 13180; scene = ['f9835f45bbc6a4fa', '188274ebf887bdc6', '3f2972e34f9dd554', 'fc7d2c78519c4689', '3e74bba8632c9324', '85f4c57627a479a1', 'd9743a1e2ccdbe4f', '3f2987707f148ae1', '31f94e14466e78a2', 'ec87ff261c986c1f', '993a834091541fed', '868d89d13e6d1dbe', 'edc3399caeb71eb6', '85effddc4e1c66bb', 'c6aadaa4cd42d534', 'e9ef9a85f0ef0d70']; context = [[45, 86], [21, 71], [3, 58], [66, 119], [44, 89], [38, 75], [4, 40], [0, 37], [4, 46], [1, 42], [42, 101], [26, 88], [22, 58], [7, 56], [87, 131], [25, 65]]; loss = 0.014501 low_pass_filter = 0.300
+Epoch 0: | | 13189/? [2:18:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 13190; scene = ['66a324d8c0a8b80c', '0533d23dfb17f17b', 'a640a55439a43108', '2da17464ef895b63', '789a1573a8a7f5a8', '39537fd202eb32b3', 'e70deb6f79ea3899', 'c8234e5da5f366ae', '2e2cce8b80bc8018', '3394846340d63c73', '4c067452588bb4bd', '8afb36156243fe84', '1b28d4488bbd73a5', 'ca9f9eb29db75829', 'ea746408d4ea4e51', '6d45a2090f8a7bee']; context = [[28, 87], [29, 78], [56, 106], [4, 42], [12, 65], [111, 166], [1, 40], [27, 90], [11, 53], [23, 62], [9, 46], [19, 77], [7, 64], [61, 117], [42, 92], [14, 62]]; loss = 0.011913 low_pass_filter = 0.300
+Epoch 0: | | 13199/? [2:18:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 13200; scene = ['a92a2144824ec5d0', 'ab0df7dfba225813', '6a8abf8024d445e7', 'cf5a9d93df10f156', '6cb26abcdbe1fb40', '6ceef29d3cd6caf9', '5fd4e49b87e4a570', 'bb9481478f3f6d69', '2a4284701926a108', 'edd9367813a4f0c2', 'ff9879889b2fc896', '6c8fe33163da0e0f', 'd5235962a9065594', '70b1ccca2fbf002a', '224f92dada695b8e', '972be5d0267dea37']; context = [[51, 107], [10, 66], [8, 47], [138, 199], [21, 64], [44, 93], [7, 43], [69, 114], [129, 189], [42, 94], [15, 60], [109, 154], [163, 200], [2, 38], [63, 115], [80, 136]]; loss = 0.013169 low_pass_filter = 0.300
+Epoch 0: | | 13209/? [2:18:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 13210; scene = ['efb539db983ef4b7', '6c22c1f20601e2d3', '124032ee98cb36a2', '13b739351d44ebc1', '279f168a03bf8e5e', 'af272bfa02b080e8', '3b4d3b652525f84d', '572d67c3862dd6e1', '46480458ef51b393', '79f4ef188c1f0a3d', 'a9062255c3e10e37', '315815aa98415073', '262a536e25e2ae43', 'a5a4762cca8682a9', 'd47a86be435af29d', '03d3092e230ed7f0']; context = [[32, 82], [26, 75], [38, 93], [202, 259], [138, 193], [112, 165], [33, 88], [71, 134], [53, 104], [155, 212], [231, 269], [15, 78], [58, 98], [8, 45], [29, 92], [16, 56]]; loss = 0.013039 low_pass_filter = 0.300
+Epoch 0: | | 13219/? [2:19:00<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 13220; scene = ['3b9732c40a25acec', 'd8ad0faac7caff87', 'e74747cee3562cb8', '9a9b6895e751f805', '78b83f9c9174e8cc', '5ae12f0ee3f7ad6f', 'ce22a7c6cfb67c84', '01babd2e26d86a69', '527c4305460bc403', '4e588d9d58d1ec06', 'bcbdf9db88745962', '3dd32618d2ec8737', '2736329206ed85fd', '6ed8ededcefc5b89', '09d20c74727003a9', 'e86649ebe8724adc']; context = [[35, 98], [12, 55], [21, 58], [109, 161], [187, 226], [5, 47], [166, 206], [11, 58], [22, 84], [27, 82], [28, 70], [122, 184], [154, 212], [50, 88], [40, 84], [127, 187]]; loss = 0.016003 low_pass_filter = 0.300
+Epoch 0: | | 13229/? [2:19:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 13230; scene = ['9b92a1a5dedd759d', '35d7cb99de8a808c', 'f39708e7363d07a5', 'cc683bd8c751ce99', '522c151d9f3eee00', '00f45c6397bb2b04', '2e5f4b3a266d5486', '29565476412f80d2', 'cb39b758efcfb52d', 'a94dfc1ea24c5044', '7acc18a56014e4e4', '4a44f7aeae26fe1e', 'd97f6d4e997294a9', 'e1a16e9c4b3e53cb', '4086b56fb5de6a43', 'e161f89081cda540']; context = [[26, 76], [2, 47], [69, 105], [22, 85], [4, 47], [77, 134], [5, 47], [206, 255], [38, 78], [12, 74], [66, 107], [19, 70], [33, 76], [135, 193], [50, 113], [52, 105]]; loss = 0.015027 low_pass_filter = 0.300
+Epoch 0: | | 13239/? [2:19:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 13240; scene = ['4881f7066e1c8c91', 'bddf4d4f01a3de36', '627e3c3515df5daa', '9d4dc226fb3612d3', '3106bc7a6c027f07', 'b9086d2cecefe07d', '8bc0f7f6b2dd43ad', '13cbdf0bfe2b9791', 'f9976cb2e4c6dfc8', 'e154da90fb5e072e', 'fc6b484968a872c5', '93aaaa30360ae75b', 'f030216648778de8', 'b8af5b1dafdf212f', '810d97e97e862d02', 'f2dfbbcbe2f3ccd5']; context = [[0, 57], [3, 46], [9, 66], [9, 63], [71, 112], [29, 71], [47, 94], [2, 51], [22, 68], [79, 130], [31, 78], [73, 110], [28, 73], [60, 123], [25, 72], [5, 52]]; loss = 0.014312 low_pass_filter = 0.300
+Epoch 0: | | 13249/? [2:19:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 13250; scene = ['9c715fc7130e0184', '8f79259ea97e3978', '2a113c6c2cc84df4', 'dc2ba641e3e2836d', '8610476b7d4b2394', '474702f1cc9d2dac', '9f62a023f2d748f7', '8059bc76d9f034c2', 'dbcf7e96dd9449e7', '6f097566ab5011da', 'a8f16a0f9e66da3a', 'dc844d908c631b63', 'c9c9a2028bc5e37b', '81940f462ed20fd9', '9b44d7f7f1e76dda', 'f2fbebb2b7cb9d0d']; context = [[4, 60], [7, 48], [53, 89], [7, 66], [67, 111], [1, 60], [160, 208], [46, 91], [4, 56], [5, 66], [36, 82], [31, 92], [86, 132], [70, 123], [100, 155], [110, 149]]; loss = 0.014432 low_pass_filter = 0.300
+Epoch 0: | | 13259/? [2:19:25<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 13260; scene = ['916cff79bab5c96a', '282ff31ba697ef6f', '00b6a786f2c21c17', '9cd54c84e349b596', 'f0c157fb80b6e0b7', '3b0b024d70474a81', 'f2de49cf61e83138', 'dc62d0247fa72b7a', '86dac679a8e2b399', '787eb1230c119360', '1ee361f00ab4d1ed', '8c38d6183bfb3f5e', '6dc1c644edb0b511', 'f1a709b10ff1c910', '86afb61a789d70c8', 'a5b71a671cc06986']; context = [[4, 45], [2, 38], [8, 46], [17, 58], [124, 165], [95, 131], [93, 156], [159, 212], [52, 89], [89, 130], [41, 91], [124, 174], [4, 45], [12, 74], [8, 64], [40, 76]]; loss = 0.013513 low_pass_filter = 0.300
+Epoch 0: | | 13269/? [2:19:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 13270; scene = ['8290c21ca69361ec', '16c3333a33394e05', '1638d45be05bad08', '9bbdf26fda3f7aa6', 'ab3ac1ab685dd2fb', 'a094ba1980c7d5dc', 'a3510c2a3ecb7271', 'c4b5cf9bba4c5620', '19f18091790cb8b4', 'd07f942cbe5dbb23', '2fff3b2844c2f1cb', '060888ad72a59ce7', '5bce27cbc9075c1c', 'd10eaf12d4b886d6', '52c737bfcfe18e8c', '645d819cb6770f26']; context = [[32, 95], [83, 130], [63, 114], [103, 145], [25, 65], [14, 69], [12, 61], [7, 49], [6, 62], [199, 260], [16, 69], [30, 78], [143, 192], [143, 179], [3, 44], [120, 175]]; loss = 0.018732 low_pass_filter = 0.300
+Epoch 0: | | 13279/? [2:19:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 13280; scene = ['b68cdb4cdd702112', '053b8c046d8990e3', 'fd1ec3e7d1725c17', 'fba4e3544c47c1a7', 'aec37c0c07847354', 'ba88bafc439f3256', '83c73865f19da6b9', '65cb094aa58e64f7', 'ef41f7e5745d4f2d', '977bc7d4ee8f7c38', '5d128926c1792da9', 'e97df4a241db1eae', 'a329004f4d0df0c4', 'b1dbb5ecb3d46dbf', 'dc1c3e901bbdd1b5', '7d38d8fbf560e9cd']; context = [[164, 203], [7, 57], [63, 115], [23, 64], [2, 48], [15, 70], [6, 55], [66, 112], [34, 73], [11, 57], [90, 145], [65, 125], [29, 71], [29, 90], [0, 37], [22, 77]]; loss = 0.016133 low_pass_filter = 0.300
+Epoch 0: | | 13289/? [2:19:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 13290; scene = ['374a9003b040006f', '73a72ced0b85c6ab', '07e08c2563bb42c6', '04ad92a2b051ea56', 'bb003aede4397792', '5f904a67c84e50b3', '5167bca480a3e879', '1e78ea9d561515e7', 'f450b5eb36699b57', '00c14c53270e07a6', 'e77fa90c3f42729e', '51098eb8a77e3976', '7bb5cce3ca41718a', 'db02ec541d6a9556', 'acff72df83292068', 'a464ead502832cec']; context = [[9, 45], [100, 154], [18, 69], [43, 81], [31, 68], [25, 69], [42, 86], [3, 47], [29, 77], [97, 141], [119, 159], [0, 51], [22, 63], [22, 76], [23, 85], [65, 101]]; loss = 0.014964 low_pass_filter = 0.300
+Epoch 0: | | 13299/? [2:19:50<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 13300; scene = ['fa604b72bc666444', 'effef8b0f00cb66a', '2f86649cfbb24a7f', '1ce715a178ccb33e', '128f032a71ccfd3f', '27f34df7cc8863e4', 'd3ab495b56ec2830', '5450eb5614d8af42', 'c2bf5ee569ba3681', 'aa2ee5c4626a6c43', 'bed787d9b3bbbfb7', '347f4e7f9f627a12', 'c911c92ac370270a', 'dbebe2e9bca9ac82', 'a33838d396af29c0', '42f231e9226b5764']; context = [[37, 73], [164, 210], [0, 36], [0, 52], [109, 159], [42, 78], [152, 199], [9, 46], [13, 75], [34, 89], [32, 74], [6, 48], [17, 70], [16, 57], [55, 118], [75, 127]]; loss = 0.015034 low_pass_filter = 0.300
+Epoch 0: | | 13309/? [2:19:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 13310; scene = ['eb4645960b5e3ec2', '34193f7fd37e5d4a', '2fb54641bbff602b', '1f817d9e3f71235c', 'ce1939d4a39ec7c2', '466d08ca50d6fa94', 'bb115a9071e2ee44', 'f76dc874607dce8a', '4ca745c7db2144d6', 'd37931442bb53857', 'ab1db80bd5923f81', 'b12a0ab351bffd0a', 'f5f7a03a083dace5', '7dffb84793d6b079', 'b33364f7f8aba9ab', 'f2c65f1db3235f15']; context = [[36, 72], [105, 148], [40, 97], [47, 84], [80, 117], [5, 41], [19, 81], [35, 90], [55, 94], [4, 48], [39, 89], [75, 120], [34, 77], [0, 38], [8, 59], [59, 104]]; loss = 0.014755 low_pass_filter = 0.300
+Epoch 0: | | 13319/? [2:20:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 13320; scene = ['7e58b6857e275547', '7dfeaf87a8145697', 'fe1cf5504260d4ea', '86d9acf576d8ec0b', '36846d6fa22bba62', '23d17b97a9d3674e', '83c9baf5bbc941ee', '45aa7021f1864ed8', 'd4ed01f3e0cf2c47', 'ecc71f65b80936ce', 'e209ce84271a5f43', '92b06be9f462e68e', 'a797e66eee67e4d4', 'a75907c57ea65d77', '9cf8e1b5c06a9275', 'c6aa24612a23dba2']; context = [[56, 96], [0, 39], [37, 92], [85, 144], [92, 152], [36, 96], [9, 60], [33, 72], [84, 145], [97, 142], [71, 120], [22, 68], [0, 53], [187, 244], [95, 154], [158, 207]]; loss = 0.011801 low_pass_filter = 0.300
+Epoch 0: | | 13329/? [2:20:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 13330; scene = ['d875f996331712c3', '34ecd93b461c01fe', '0641f7c79d7f017d', '94f7b5c957bc74fd', 'ecb259c1db50ec9b', '5b9f289a8e65563f', '074375474c3e1621', 'ed98faf79d120ebc', 'ee09e1909e6d0b36', '202890a812df9e8f', '9e40d72fc377071e', 'cbbe5299030ed27d', '0eb418885d5c704f', '9c8a304979cbc7da', '8bb9dfb202abb4c0', '96ba226de3006d1b']; context = [[2, 41], [39, 96], [20, 61], [39, 86], [102, 139], [166, 204], [85, 135], [25, 83], [7, 53], [26, 88], [17, 61], [34, 70], [154, 196], [205, 241], [60, 100], [18, 68]]; loss = 0.013153 low_pass_filter = 0.300
+Epoch 0: | | 13339/? [2:20:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 13340; scene = ['ebde595b532cf60c', '204c24d2d8cc0ef9', '0684f42098862b74', '63e1fe6bf65b14e7', '17970a4aedd7b101', '83222e191a9467b0', '34461872e645d034', '778eaeaaffc6107d', '3dfdd773f0a7cf2b', '0e0bf14b6085e811', '137580e9c0646c73', '9da1fa15af1eae3d', '1f091d8458c5d83b', '5ae14b01a500682a', '4359a06de608247b', '8df1675f6541269f']; context = [[89, 152], [50, 113], [7, 60], [22, 61], [86, 135], [54, 98], [11, 59], [3, 46], [33, 80], [27, 68], [9, 60], [135, 198], [15, 74], [34, 77], [2, 51], [59, 102]]; loss = 0.014960 low_pass_filter = 0.300
+Epoch 0: | | 13349/? [2:20:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 13350; scene = ['1588e9d57273e849', 'c53f0f20f949bc7a', '979ba8e35df76320', '3a242840aceadbdc', 'f40957078a47acd8', 'b492fc78d75a1a77', 'a39764d3adf928db', '842ac8a77d8e55d4', 'a15729f69bf6486b', '0cd1b0470eccc71e', '9c9956683afa0635', '9d67cfafbd23367e', 'd9dccd1426001628', 'a1263b3db507aadf', 'c3546f2378897274', '58278081778e848c']; context = [[12, 65], [27, 66], [6, 69], [121, 162], [4, 58], [4, 53], [23, 68], [44, 82], [213, 272], [34, 78], [29, 79], [29, 80], [1, 44], [13, 52], [22, 76], [22, 77]]; loss = 0.014064 low_pass_filter = 0.300
+Epoch 0: | | 13359/? [2:20:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 13360; scene = ['467c7103dccd9914', '4fb63d42b75f83ec', '87e78ff298b1cd97', 'b33803d3409e57d9', 'c2311a649b12cea9', '1a9b4d12c5b517a5', 'f15bac67b7a07933', '11f3ee09a95c385b', 'f41c119ea504e8a8', '9dce78c1dcd85327', '4e145d26377a414b', 'c84ce7b291806055', '2a816c674416d597', '95390743755ea23c', '6aba476ffd0b4320', 'b889e10f246936aa']; context = [[19, 60], [13, 66], [10, 48], [3, 43], [12, 58], [0, 62], [6, 58], [19, 56], [8, 61], [109, 145], [90, 143], [7, 55], [154, 198], [70, 110], [37, 97], [57, 112]]; loss = 0.011049 low_pass_filter = 0.300
+Epoch 0: | | 13369/? [2:20:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 13370; scene = ['9ee25bf8dc251d98', 'f51a6709d0525ad3', 'bc8bd4d61ba89a19', '822759abe70b44ca', 'a439678a22caa9ac', '0e1dc8b04fa00560', '1c50f60051eeecbc', '73825b627149fe38', '4b3e3c88a56df0e4', '0aa17fd0fb5514b9', 'ee7116001b566623', 'ede4c4802598d72a', 'e87a1e494c996a96', '1f220c65c37553e2', 'b72e6e7681041ef9', '32194d0b6f743e1a']; context = [[144, 189], [55, 95], [148, 204], [106, 162], [8, 59], [115, 174], [43, 102], [107, 170], [23, 61], [51, 95], [35, 85], [174, 228], [16, 54], [13, 74], [40, 89], [6, 55]]; loss = 0.015034 low_pass_filter = 0.300
+Epoch 0: | | 13379/? [2:20:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 13380; scene = ['b499ea4b505c7fb0', '0db6bec6cc76a55f', '16ab02b6c03b2534', '62d5a74db345d8d2', '349265527545c4fc', '0aeb8920c6649318', '63efc4555f77829c', '7a8f38265906ad44', 'c939b1e53eebfcad', 'deb3e637a2b8d971', '336296e17134d8a5', '4bf8e1ae461f5eae', '598b1c9d13403339', 'e5245590cf6cd5fc', '8fd650e68fb27844', '512b6de83df6fea4']; context = [[59, 102], [10, 66], [9, 70], [1, 41], [66, 113], [72, 112], [34, 79], [35, 80], [16, 53], [89, 140], [48, 87], [37, 77], [27, 79], [189, 228], [9, 50], [5, 50]]; loss = 0.014350 low_pass_filter = 0.300
+Epoch 0: | | 13389/? [2:20:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 13390; scene = ['15076bf2743d9c16', 'f19a009a27a1276d', '2d7c79c978b0cc08', '530511cbdf4fd449', '31ee0ad396e51e16', 'fef9b8a287d2d4bd', 'e6be807f7579f977', '05b11294218075e1', '558bb65bfbe54320', '60bf0a4a1ac5f0c3', 'e2068d39b0cbe2d0', '2ed55ed93afa94f2', '5c636a8622d43293', 'a4a2397604930cf7', '50d4d41bdd05529e', '0a6360859aae1c7b']; context = [[107, 161], [6, 54], [171, 230], [166, 229], [221, 270], [4, 54], [147, 197], [31, 85], [122, 164], [3, 61], [23, 61], [53, 94], [46, 84], [10, 72], [16, 52], [14, 50]]; loss = 0.013524 low_pass_filter = 0.300
+Epoch 0: | | 13399/? [2:20:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 13400; scene = ['486b548dfacda9fa', 'd94eba604f88e9c3', '882182e89dd66eed', '8b51e270df0c9284', 'd7adc331c74563b7', 'cc64c0f4b6918914', '1fb9683df0428231', '3c2c6247ba2354fc', '75b018db77600c92', 'e261bbfcfeab2ce6', '993f5f375f822648', '3e228d07ae6f8c54', 'ff004771e31d89f2', '215eb0b87decb587', '31e2cdfefddcd14c', 'f032185c91cad994']; context = [[15, 67], [34, 93], [9, 55], [10, 58], [90, 130], [63, 116], [21, 83], [19, 68], [10, 65], [23, 60], [48, 100], [1, 38], [98, 138], [23, 76], [2, 38], [2, 46]]; loss = 0.011016 low_pass_filter = 0.300
+Epoch 0: | | 13409/? [2:20:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 13410; scene = ['28e3ff32d7f2a1ea', '9211c25e50b2fed4', 'b37b076cb25bdb61', '4f8f62dc3221760a', '34890c370bbc5c04', 'd6bf9d28fb3737c3', 'd8f644b537799c00', 'eb7d94559f933369', '4103295ef55c93b1', 'ed7e2f22e2b5ba01', '350f8b96fbfe50c3', '19ad945443df4b64', 'ff4ac4733ea81002', '4b07c63d08460624', '71fcc35fb52def0a', '7409fa8e94c4edb7']; context = [[71, 112], [11, 56], [0, 42], [209, 253], [15, 78], [73, 119], [15, 69], [35, 81], [16, 52], [2, 59], [150, 189], [122, 179], [83, 136], [56, 109], [6, 43], [72, 135]]; loss = 0.014105 low_pass_filter = 0.300
+Epoch 0: | | 13419/? [2:21:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 13420; scene = ['9c1fe34e2a59897a', '593f5915b5f4e44e', '5e48f38804685d2e', '9dfb47c595e5f4b1', 'aeff198065a9b1a8', 'd27737b6cefa4fac', '574525ca424d6534', '6ac05296f40c0c95', '1684768a27596d4f', 'ee36d9bb7a661393', 'b38c22f3e33f784f', 'ac4447521eaf9947', '93bf60d2c52cf1f0', 'a86b3b01d1a3a7ef', '30ffbfabfe08cd98', '809e30bb8733d903']; context = [[69, 116], [13, 49], [4, 65], [62, 110], [0, 38], [5, 56], [18, 66], [38, 97], [66, 118], [100, 160], [9, 50], [24, 87], [58, 100], [118, 163], [48, 91], [2, 53]]; loss = 0.015837 low_pass_filter = 0.300
+Epoch 0: | | 13429/? [2:21:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 13430; scene = ['8f04ddfa3b4e7c25', '45fc33ad9eeda001', '24980f48254b85cc', '627dd68bba96dc29', 'a584c760ec07251f', '9d66dba4551f79f8', '3241037fc88ad609', '6a630b0bda4534ce', '18a431340ec52fb1', '43788bd7c0809f36', '1a551d95a03bbfea', '18e7e202a24832d1', 'ed6c332ef4c53a64', '3fdf37b65b6ee929', 'e75e9f7852323c03', 'f7e27052900e847e']; context = [[8, 61], [74, 111], [20, 71], [8, 58], [31, 78], [30, 82], [61, 118], [21, 81], [23, 67], [12, 61], [72, 119], [66, 110], [3, 62], [88, 144], [29, 78], [8, 44]]; loss = 0.012614 low_pass_filter = 0.300
+Epoch 0: | | 13439/? [2:21:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 13440; scene = ['4a3aefcc8d1bf303', 'ea6ed2808e7a6b2b', '457542e5ba786e75', '79d69af91cf6b1a7', 'aff1a276b88f95c0', '3a6f95f123a6734d', 'bb2c45db780e6053', '81f0e23b267f977f', 'ae37850519b233ac', '623a5216fb75cc8a', 'bde0ae0a61223088', 'd96254454478fdfb', '590d6f715d8edd9d', '4d6b988aba86d239', 'bce18b344ffc0b52', '3b61ca8af8aef8de']; context = [[33, 75], [3, 47], [57, 111], [86, 127], [18, 67], [50, 88], [91, 137], [11, 58], [1, 38], [126, 189], [35, 80], [5, 65], [86, 145], [37, 73], [5, 59], [42, 99]]; loss = 0.013254 low_pass_filter = 0.300
+Epoch 0: | | 13449/? [2:21:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 13450; scene = ['a01e41fa08c3515a', '187d8de1b228cde0', 'd6cc1a3af543a7f8', '161ac23fc7202698', '4b7f3f58b0838d38', 'db1a7cc25841ace2', 'cc41db844962d020', '1db7b91f8baf3aad', '19075f7c930c8fd7', '4df1bd8504fdc8c8', 'f150a1954377bec6', 'bf44ecdafd3fc91b', '78e09d4c5b72575b', 'aa1cd3a00d850d15', '6389c2ea26244683', 'f594c0d69af4e9d8']; context = [[42, 102], [1, 49], [17, 71], [3, 47], [102, 142], [42, 82], [7, 45], [5, 43], [71, 122], [21, 70], [18, 66], [226, 266], [2, 41], [53, 89], [15, 56], [105, 144]]; loss = 0.014941 low_pass_filter = 0.300
+Epoch 0: | | 13459/? [2:21:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 13460; scene = ['3ce96ec09557434f', 'fcf499284b71126c', '9de327a8579e464f', '7384805913eff0e8', '450e183660bd3aee', 'd49cf9b73b9e4e33', '7c0a941ded05e96f', '8fdb315ef82a2d99', 'fb556c16e9fd3894', '1f76424253e03678', '17e3ffa593ceb79e', 'b91de0372ce2d269', '0e38541cd280d9bf', 'a21c63b3845a0104', 'da33c1aed3690b98', '3c0c0cd1458685c1']; context = [[61, 113], [55, 103], [1, 39], [19, 56], [70, 113], [1, 41], [79, 118], [38, 77], [36, 86], [196, 241], [6, 69], [15, 57], [22, 72], [19, 71], [74, 118], [67, 119]]; loss = 0.016510 low_pass_filter = 0.300
+Epoch 0: | | 13469/? [2:21:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 13470; scene = ['fe1b841e883993c6', '683f583409f21d60', 'fe469a7381a1276a', 'e4127b01ba04fbe1', '458af535dfa1b0b4', '30311d7d70e6b429', '1796fc4fdad7e0b5', 'fc837334a2b7112b', '9b36c2834dbc9f79', '9614ae5a05900bd1', 'f3c4d607d084de46', 'b2eecf538192c27d', '45edb87bd30a2a11', 'ddba350b46e1eae0', 'fffda70800952a46', 'd415cb333701232f']; context = [[33, 85], [15, 71], [1, 64], [17, 67], [16, 61], [156, 195], [103, 146], [3, 42], [53, 97], [55, 94], [87, 128], [26, 83], [8, 61], [39, 102], [19, 74], [181, 242]]; loss = 0.014835 low_pass_filter = 0.300
+Epoch 0: | | 13479/? [2:21:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 13480; scene = ['aa067599e01a0a0a', 'dde7dcf3f35e18be', '02a5c02e70761d96', '4bd0fdc1947d98c5', '63b78f8727c3ea82', 'b9b5fd1a03c7801b', '98b7c64d52e0441e', '2a23966bfac99977', '1db855eb2be5b983', '7bf71b62cccdf2fa', '30e1d420b926d6f0', '09a1e9bbded02341', 'd1a496112cee9a32', 'd069c35354465fa9', 'b4a46c5d2d8d0415', '52ba723e1b5e31da']; context = [[8, 69], [11, 65], [27, 74], [95, 141], [111, 161], [81, 123], [7, 48], [73, 121], [88, 146], [36, 81], [76, 134], [24, 74], [26, 75], [0, 38], [21, 63], [65, 121]]; loss = 0.011763 low_pass_filter = 0.300
+Epoch 0: | | 13489/? [2:21:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 13490; scene = ['5b9d84d47b1ea410', 'c842ce5440a03704', '09a6aff7b9769dfc', '26894d5903d41150', '38834e0675604b7b', 'bf6673b014c4b426', 'e0e22ca4dce43fea', '0139d9fa2834c496', 'eca311ee088fb239', '737840feb893c837', '55a766e51e8c2fd4', '279c5a341400adc7', '89ea747fd11c6380', '2d39f33562b273b9', '71e42381b4ef3fdb', '6b5a51c67c4657b9']; context = [[46, 105], [190, 231], [7, 43], [33, 78], [3, 48], [53, 97], [64, 101], [89, 146], [16, 62], [216, 255], [46, 83], [42, 92], [10, 71], [132, 191], [3, 42], [39, 86]]; loss = 0.015384 low_pass_filter = 0.300
+Epoch 0: | | 13499/? [2:21:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 13500; scene = ['0e90e8b5008fe7f6', '52c039e662bd4698', 'd2df3cb4a3676f92', '5ef29c660b809ca4', 'c9bbf63bd1905085', '0ad763ac2571765b', '2caf052472bf53f5', '6f3f3b0d4aabf9d0', 'b5e2b2e716626548', '33209a1136e912af', 'ff1f9537bc3e60e8', '43a9af8cd3e06c43', '8f8967ee0f2beb61', '89e1949d499596eb', '1f3f484a027f93d9', '1a17332c1d690519']; context = [[0, 37], [29, 75], [37, 81], [53, 115], [11, 57], [120, 176], [73, 128], [235, 278], [80, 139], [2, 60], [3, 52], [200, 263], [10, 60], [210, 256], [43, 95], [1, 51]]; loss = 0.012859 low_pass_filter = 0.300
+Epoch 0: | | 13509/? [2:22:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 13510; scene = ['71647381f3483fa3', '9e233268774cce82', '78b694e06349d124', '97c61bf4019ef230', '03333aa4887f26da', '6bf4232300f914f8', '73a06caaa807e329', 'a9ed4a87c1c6b665', 'e660ad127a6d2fb6', '2d10a1bc4e9f5fe2', '32074709c9de22b8', '325ca089610a7226', '3256cf35e6abfe1f', '93fb96bc2d3b8bff', 'bbb36359cd553f3a', 'd2757e2b5edb04c5']; context = [[5, 66], [94, 155], [1, 44], [55, 113], [13, 50], [118, 181], [12, 73], [17, 60], [0, 56], [41, 82], [10, 56], [8, 65], [9, 61], [29, 76], [58, 104], [4, 53]]; loss = 0.014202 low_pass_filter = 0.300
+Epoch 0: | | 13519/? [2:22:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 13520; scene = ['8bc1354abb4655b2', '5f57604eb71f1dac', 'cc8550b9fff2f927', 'eab03fbbc0207b22', '9e20a3413265809c', '87342b7db71046e3', '15b941aff6a4a6f0', '1200cba9d0da287f', '51992c2c49e7af85', '726abddb5bbed988', 'e5c078c662b4d5c6', 'f411cde554331f0b', '68c5b856271c995a', 'e60fae07ea2d3f62', '3c598fdb2b6d5dda', '7036fdc80e5f08ec']; context = [[181, 223], [35, 93], [55, 97], [61, 110], [66, 111], [15, 61], [83, 132], [7, 49], [9, 61], [75, 136], [0, 40], [23, 61], [20, 75], [28, 78], [23, 83], [10, 60]]; loss = 0.016876 low_pass_filter = 0.300
+Epoch 0: | | 13529/? [2:22:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 13530; scene = ['865335fdf2acdc53', 'd510e85f25390e95', '7c8e2c32f609e60b', '3392e48d1d6b9d8e', 'a7282d85361a1014', 'c4c8c3f6c1db3f04', 'a2e544fa5a104bbd', '77a02b538ebb0699', '295109e54ff205e6', '21602f384d5d283a', '23f3accd6282355b', '3c6dc4701db3f586', '37b648c40c408b53', 'e1389d013972ecd6', '4153663dbfb467e1', '92f50755932da2b0']; context = [[24, 83], [32, 91], [88, 128], [0, 63], [25, 84], [70, 125], [34, 76], [38, 83], [30, 69], [24, 72], [127, 178], [9, 60], [67, 124], [74, 118], [4, 48], [7, 62]]; loss = 0.014615 low_pass_filter = 0.300
+Epoch 0: | | 13539/? [2:22:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 13540; scene = ['ac848ee37f1a8b39', '5d0bf881b352e015', '32210c6de62895a0', '47745a5bfb48afe7', '0846c20ff64f3d91', '4e3b6e86f358fee3', '954d5ca506451894', 'e07fa95114a46d20', 'db94467a661d6450', 'ae6fb0640362a0e5', 'f53f202e5e6720b4', 'bcfe7556275c5d79', 'b2a959e3b7618c60', '0b9c20868d7e0447', '46076cfef27ba944', '0b6bc1cddcc503af']; context = [[2, 40], [20, 68], [10, 66], [49, 109], [46, 93], [143, 184], [120, 164], [10, 57], [41, 79], [45, 85], [17, 79], [21, 76], [4, 45], [109, 160], [11, 54], [3, 45]]; loss = 0.013944 low_pass_filter = 0.300
+Epoch 0: | | 13549/? [2:22:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 13550; scene = ['6452d5b59b2695e6', '667babf0fad704e2', 'a21663cc408933b1', 'd8572a43b047b30e', '230f1a4b17cb49cc', 'e0bbf0c641a19362', '8bd8e3f6166b3bf2', '19d66abfaf3d9e25', 'f36462fee32fa428', '369df91779a88a16', 'd8c016e186726205', '0049c83bad21bbdf', 'd0776049e80ac188', '95a572d344c5c54f', '70e8abd9ce40a528', 'b38098027eb1961b']; context = [[8, 67], [25, 67], [47, 98], [9, 61], [72, 121], [27, 79], [128, 165], [42, 85], [0, 39], [134, 188], [147, 201], [18, 57], [87, 144], [99, 152], [79, 121], [68, 125]]; loss = 0.014729 low_pass_filter = 0.300
+Epoch 0: | | 13559/? [2:22:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 13560; scene = ['188c1ddafd1ca5be', 'a9edcd51ccf8f693', 'de9a6553e270a915', '97041bbd0d7d2e61', '0a26d39b16cc8503', '050adb5ab07ff381', 'a27e4ed0659b4710', '6e9f0df7451bc842', '79fc8c8327fdd797', 'e9f4b008fc5b70c3', '1d76c3d341a60952', 'd67b9d78d72e8afb', 'f83523465592a970', 'ee47d21c4fe6fe7b', '6d5e73f24d60de17', '17f47ff41a55a6e1']; context = [[12, 65], [4, 64], [104, 156], [67, 119], [81, 126], [12, 61], [175, 238], [16, 63], [141, 183], [25, 68], [29, 90], [6, 45], [39, 98], [69, 106], [28, 88], [42, 100]]; loss = 0.013659 low_pass_filter = 0.300
+Epoch 0: | | 13569/? [2:22:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 13570; scene = ['c41c2c1a8658828a', 'a79a87024638c179', '149e3da8c38033e4', '15279d92ae0333fe', 'd1655dc2aa093510', 'e5d56dd99ff3624a', 'b7e36b19a7b16f6c', 'a2aa880feaa2168f', '666c37ba7ac3085d', '872c81315122fce4', '16871758b1831d59', 'bf0fa530693a0482', '8ce50844cac30a9b', 'd77956ef6cbdf5fe', '6be29a69562abd4f', 'f84512bfae8c1a78']; context = [[0, 53], [34, 75], [38, 77], [41, 87], [107, 153], [6, 49], [157, 205], [2, 43], [56, 93], [22, 69], [96, 153], [47, 85], [42, 97], [115, 154], [19, 57], [17, 54]]; loss = 0.011656 low_pass_filter = 0.300
+Epoch 0: | | 13579/? [2:22:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 13580; scene = ['6b481d7f8c3e3887', '36207c22e4ef1437', '465485854dea3a8f', '9ac3a25890d1c066', 'b5a694f53a65b897', 'd3d8f60e4ba32fae', '0d4271ec086413ab', '5ab3d7a64b47ab52', '58675ad64b26a395', 'd75bee1cfe6eb53f', 'dc068443ff649ed5', 'a517f1d63f03aae6', 'b63a129577a096a2', 'b49cd83707f4e6d9', 'cbee2c36c368c2a7', 'b3859fc1eb5d926a']; context = [[142, 203], [34, 78], [1, 42], [0, 45], [47, 88], [4, 56], [9, 60], [39, 84], [0, 53], [20, 79], [7, 64], [8, 67], [12, 75], [6, 47], [3, 59], [45, 90]]; loss = 0.016216 low_pass_filter = 0.300
+Epoch 0: | | 13589/? [2:22:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 13590; scene = ['8b52d8f5da192534', '81c8fbde888c820b', '6ca890904770aebb', 'cd0794502b8203f9', '00980329a3221f1c', 'f7049958f65a5e49', '009700fcc49fe368', '7544731be485052b', '6f3fb517d1798d03', '593538382d2dc847', '1acf1aaddb8e460c', '358d032a29510bc7', 'd96daf909ddb27cf', '262a073a6d17f7cb', '7f4dca7fd5c06d2d', '00c7627b596c041a']; context = [[71, 112], [129, 176], [125, 187], [21, 70], [4, 66], [57, 94], [53, 90], [38, 80], [14, 57], [2, 53], [44, 87], [9, 66], [17, 61], [1, 46], [59, 111], [12, 76]]; loss = 0.012437 low_pass_filter = 0.300
+Epoch 0: | | 13599/? [2:22:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 13600; scene = ['505f84dee49114ed', 'a230e0de2c7e6bcb', 'e45c98837dae8246', '0f2d47fb28cbc808', '42cb1d6d9caae5d8', '97a5b7691a70c955', '62fb64631e202247', '17967e4f66c09b0b', 'dc045f980be4ef22', '4a9973d7005d3fca', '296c34862a1e7e5b', '30d9f6321281dade', 'bf9ab877153afc0e', 'fda72a372f63d9d6', '7d2a669a71faa6f4', '40cfd2ff3fe2c3e1']; context = [[111, 148], [44, 106], [177, 234], [37, 90], [36, 81], [21, 63], [13, 72], [68, 126], [30, 69], [4, 48], [62, 105], [35, 92], [13, 52], [167, 224], [0, 49], [95, 151]]; loss = 0.013818 low_pass_filter = 0.300
+Epoch 0: | | 13609/? [2:23:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 13610; scene = ['fa2e3920aa426fbf', '8c7383b85f475330', 'd70da7618ad91f13', 'f697c83cdec348e8', '8dfbc2d0cab1db89', 'a96149035e0625a4', '6c0bdb5e8e11f0de', 'c2e9139a0b8292bf', '80a45916e1f5ae01', '086d3516db9b7109', '065c17a5291afe4f', '353833adfd1ffb1c', 'bc662fabb0cf45ce', '42023d3c17fea2c7', 'fbac6f26c8753fac', 'bed079cdbc26fe22']; context = [[5, 60], [37, 99], [1, 43], [83, 132], [29, 71], [45, 100], [34, 74], [30, 69], [40, 83], [32, 90], [21, 68], [96, 160], [96, 143], [38, 88], [26, 63], [211, 271]]; loss = 0.015408 low_pass_filter = 0.300
+Epoch 0: | | 13619/? [2:23:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 13620; scene = ['293ae3a90e34ba37', '0a0759a2dff47613', 'd1ebd5d89e694609', '9b417f4a07fa1404', '6a44657fae01aa35', '7567b089651c7646', '96714b3f3d968ade', '59b3c17420275035', '3debdc37dfa853af', 'fd55f7a0e88e3d43', '28d29dd6d33266d5', 'c690ac1fce97b13c', 'f1a9709b9ff2378f', 'aa3674f8a234e695', '47bec18c9ad9ca34', '697f83e843f73081']; context = [[62, 104], [95, 151], [115, 163], [63, 109], [22, 64], [9, 63], [63, 108], [5, 56], [58, 115], [93, 145], [28, 86], [6, 63], [3, 62], [59, 117], [17, 64], [19, 82]]; loss = 0.014154 low_pass_filter = 0.300
+Epoch 0: | | 13629/? [2:23:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 13630; scene = ['a3b640560aacd187', '4fcb9b17624fcfed', 'bd8d3f1861372fb8', '6466dd709ba4f21a', '0160440477263b48', 'c9ee1faee53b3457', 'e2186044837103d8', 'fa42d332a3b845b4', '56ea303d0208eee2', 'e2400ea7b41d777e', '1f2f3463069ec6c6', '62b236553c63fece', 'e617d57877cde526', '6a279347f7b07636', '60ff26df8d284a27', '53989f07ffed6e2b']; context = [[71, 127], [123, 167], [9, 47], [33, 74], [25, 64], [7, 59], [12, 70], [3, 44], [16, 68], [1, 41], [51, 112], [93, 136], [1, 64], [9, 69], [129, 173], [21, 58]]; loss = 0.012670 low_pass_filter = 0.300
+Epoch 0: | | 13639/? [2:23:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 13640; scene = ['28c643e2cd91f465', '0ebfc63e0dbcb1e6', '2ef7707bb9e354e0', 'd737a4d00ba9eb96', '1a6bd947d15b57fa', '6a15ba68d651fe15', 'aad75ba6e6c3304d', '8467aaa6db783cbc', 'e6f956faeeda3603', '0446f3522cce8104', '0e8b514d885eb478', '733139b4b78dcc56', '175d43f942c9c852', '619b1245b43d3c0b', 'c8f4b0029355a6da', 'eee517a47a31c7a1']; context = [[27, 75], [55, 111], [9, 47], [45, 84], [62, 125], [40, 83], [49, 96], [2, 58], [31, 88], [8, 45], [7, 48], [28, 92], [1, 65], [226, 266], [30, 71], [24, 83]]; loss = 0.015089 low_pass_filter = 0.300
+Epoch 0: | | 13649/? [2:23:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 13650; scene = ['c21a51e62f022171', '654a4ef182f4e8ae', '2c38ebf17747a14e', 'dfe3cbe9ca43aea3', 'fc6f8e4478f96b29', 'e7cb8f00fca8b54f', 'e8f40e73fd9848f3', 'bcbd3ed453c1d5c5', '8291ffa5d473ed6b', '14cfc11be2d81617', '8b901a2a33f5ad6e', 'c3ed8d0890eca234', 'c46cc0b22cf0e2df', 'aa85f1d551661c8c', 'ac5ffad34ede2b27', '2636a68b00cbb8dc']; context = [[43, 84], [57, 113], [42, 83], [4, 46], [52, 92], [68, 126], [123, 178], [26, 71], [26, 66], [20, 76], [12, 71], [163, 223], [20, 64], [16, 53], [119, 157], [14, 61]]; loss = 0.015211 low_pass_filter = 0.300
+Epoch 0: | | 13659/? [2:23:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 13660; scene = ['8b513ead658d6753', '590bb98dea23e2d5', '9baa7e80e0e09d0e', '1a53540061b38408', '1896e6de7dc0f4db', 'c4a2b071fccc524f', '4a0cdf7ef67e9987', 'c1071bd28d74ed88', 'a8edd71cc4469588', 'bee339cc45bb274a', 'c5bfb5bda243dc69', 'decf37d8f8750882', '11ac1c29846c8b02', '7b1acd8b44eecea2', 'accbf67c9f56fdd8', 'f3fa1b0410bbc27d']; context = [[162, 217], [6, 45], [4, 68], [22, 75], [33, 95], [18, 69], [41, 91], [29, 76], [7, 50], [3, 65], [49, 94], [29, 86], [23, 82], [0, 37], [22, 79], [44, 90]]; loss = 0.014399 low_pass_filter = 0.300
+Epoch 0: | | 13669/? [2:23:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 13670; scene = ['d9dd6e0b1550b1ee', 'c74969cf2d6052dc', '8fba4dda8330a838', 'b48b1adbf6c01e9f', 'eefdafedf732e5b0', 'e81941e5c1fe55cb', 'dffc452274d7cc7e', '8df7f7cf4f43c4f1', '8efc5fd1fbf4c924', '181d724e8cff2234', '527d74c598ff7b6d', '9f1a754bc0ca1002', 'fb6b9f1e874ffb31', '587bde63976c7658', '1d83d7e1067a9972', '8c6475f6a50ecf0b']; context = [[4, 59], [132, 177], [12, 72], [4, 51], [102, 146], [0, 40], [17, 80], [3, 40], [155, 207], [15, 61], [91, 140], [5, 63], [116, 169], [152, 191], [167, 205], [25, 77]]; loss = 0.013303 low_pass_filter = 0.300
+Epoch 0: | | 13679/? [2:23:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 13680; scene = ['ddc9271651c44be4', '72a296d4a3d7d727', '9f082e98ab8329be', 'db43e6e730f0d1b4', 'ca04e3dec73c44e8', 'fd6eb7cb939fa6d0', '4d80b0cb97667fb5', 'd1867da16ab8a533', '877ae8de01283e41', 'aace7cb366015784', '47746ad5be519fb9', '3602ae51d17d2eae', '9ee5fa73fe99e590', 'ed954796f9e28e4b', '875e8106a8f6ab31', 'ce7f1f7743e50db0']; context = [[92, 152], [35, 99], [44, 88], [14, 55], [113, 165], [94, 143], [39, 82], [15, 66], [160, 209], [5, 59], [3, 48], [150, 212], [103, 156], [81, 124], [141, 187], [5, 59]]; loss = 0.011802 low_pass_filter = 0.300
+Epoch 0: | | 13689/? [2:23:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 13690; scene = ['3830efaeaf900afd', 'd3d59e576e4a4994', 'f87486ad60f4d325', 'c6e306b85165a748', 'a05911b9e6186029', '85ec32cc6513863c', 'e6373ecb22d1f5e6', 'b6ec852cd239b4e3', 'c6479f7e813d588a', '2b5208807d171c9e', 'f058d22a591faacd', '160e2d5c96b22d31', 'bb99c11f78349cf5', 'f23a5f2883f6b3ee', '2863d376a1a92afa', '02563ef6e6768ce0']; context = [[21, 63], [10, 63], [0, 52], [13, 62], [6, 56], [0, 56], [130, 172], [42, 90], [71, 124], [71, 122], [21, 74], [79, 118], [13, 60], [54, 106], [197, 253], [43, 97]]; loss = 0.012454 low_pass_filter = 0.300
+Epoch 0: | | 13699/? [2:23:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 13700; scene = ['12888588515acac9', 'a24365e23632fdec', '6b34ef355b651ca7', '832722d3bc8ca01f', '506c40b3157c0351', 'fbc1ce735bdab6e1', '3794fd5855929cb4', '0103470ec734c444', '9214c3dce7de3f01', '569da609d6f1d8d0', '3eb81ffa1e18b6e3', '6e35cce189eaf2ac', '0d665a3413c8764b', '1b166f3cc64364ae', 'fc0a88af32caa79d', 'e1189502481320fa']; context = [[9, 51], [85, 130], [103, 145], [160, 224], [86, 125], [24, 72], [103, 161], [13, 64], [39, 103], [70, 120], [4, 63], [13, 66], [11, 70], [57, 110], [2, 60], [2, 53]]; loss = 0.015699 low_pass_filter = 0.300
+Epoch 0: | | 13709/? [2:24:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 13710; scene = ['704d8ba8c94346c6', 'edcd44d4c23f5960', 'deacda3e3aa04761', '4a25e745a7cf7107', '39b7742780c1f28c', '0fda9cfcef23a269', 'a4aa5e2c7001e008', 'd8df805e4b97b406', '2814b2ceccb0d2ac', 'a6ff3ec9a7d32fe7', '493538f3442cb9fd', '961868e31ef207ea', '9c4c0f649f46db99', 'e2bc31428756b38f', 'f28b0fa065688011', 'c1289a667237cd36']; context = [[17, 59], [36, 77], [11, 63], [9, 47], [9, 52], [2, 62], [18, 71], [79, 117], [22, 85], [83, 124], [14, 76], [197, 239], [0, 41], [11, 55], [14, 53], [30, 67]]; loss = 0.015534 low_pass_filter = 0.300
+Epoch 0: | | 13719/? [2:24:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 13720; scene = ['1f6b10c1bfeab825', 'bf812050b5a288a8', 'dc6a613063a7f16a', '83a8808c79184009', '868020c5dede77d0', '0345af360bac9020', '56a0da3c4605e004', '7f97434269dcf098', 'b66fb806ce03f4b4', 'a9b9180673bd7d49', '319a31f5b39470e3', '3fe88d40aa66d61e', '0000cc6d8b108390', '2e26fef30ca12494', '74b722de71061ce5', 'bdca46414cff3a7f']; context = [[16, 62], [3, 55], [35, 82], [11, 70], [16, 71], [87, 137], [176, 216], [27, 84], [49, 87], [172, 213], [175, 235], [8, 71], [29, 76], [163, 211], [13, 70], [6, 68]]; loss = 0.012898 low_pass_filter = 0.300
+Epoch 0: | | 13729/? [2:24:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 13730; scene = ['53cf0ccf9f3cd287', '4d5fe5ad660cee05', '653bb70e9b1ee3c8', '1bb131cb68bb3060', '41ff70cc3fc8a332', '7c70fa6ac7c7e2f0', '665c734dedef60ee', 'd9d387021859984c', '07d45f8aec3ef9d0', '9182eb6535116035', 'c72e5c5b93465fd9', '10a912a578eab6eb', 'a4e1c1a1fd21c031', '156a99bdda94ab15', '6c588b310610da28', '1e2db9c385736612']; context = [[35, 99], [184, 224], [20, 57], [22, 59], [12, 71], [86, 135], [12, 50], [37, 88], [68, 112], [114, 155], [148, 204], [100, 157], [21, 81], [5, 64], [29, 75], [36, 93]]; loss = 0.014191 low_pass_filter = 0.300
+Epoch 0: | | 13739/? [2:24:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 13740; scene = ['09857c20a9b14df3', '5eee3bba5d8a0af0', '9159925b118937a4', '917a89fdc7272009', '5dccd30e3c943574', '184fb534f9aca4da', '51e6b1d7cd013f21', '05a005f68ecccc2a', '10c6540f2e3af25b', 'aa85d24bbd87a8a6', 'df7deb08bd35cc9e', '2634bae26ffad625', 'c4f5ed61a6c51132', '4a15710bcc33670c', '74a8e6140c49f568', '4ac76032dabdb269']; context = [[84, 124], [8, 56], [174, 212], [10, 72], [49, 102], [50, 99], [93, 149], [52, 111], [53, 113], [99, 163], [13, 68], [18, 58], [213, 271], [22, 71], [1, 57], [54, 101]]; loss = 0.013343 low_pass_filter = 0.300
+Epoch 0: | | 13749/? [2:24:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 13750; scene = ['6d93e8f7923b4d70', '132c4737c30b0bf7', 'b9150a0deb480f1e', 'f5b19c838f9f8b2e', '7f1444750fc50ba8', '9a4c0bb938bd7c83', 'af018f37a5cfffcd', '594699f10a03e335', '89f9d9c77b1db0a5', 'affaaa5bb0d68796', '2023fadef11c9efe', '90f753de7db1aedc', '509a7f772b62dbbd', 'ce0a99ce7be19bc2', 'a79512c29cdcc8d8', '8b270446ed2d50fa']; context = [[12, 69], [194, 237], [16, 61], [98, 140], [211, 272], [39, 83], [67, 121], [28, 83], [1, 59], [7, 69], [72, 113], [18, 63], [14, 57], [73, 129], [40, 80], [132, 190]]; loss = 0.015498 low_pass_filter = 0.300
+Epoch 0: | | 13759/? [2:24:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 13760; scene = ['b8f57558cebff3dd', '37c9f8c6a4114474', '8436c5fa5721a65b', 'f2feba8931477baa', '27d72d7765c94dbf', '97815539c42cea51', 'c7525636cfe06a5f', '30f99445639473a1', 'c2ea58f98a5f2338', 'aa8e2ed16c3f2308', 'efcd0fe138d9992b', '432327acc89cdfb8', '54651945835f23c0', '247d3873d5f3d9f0', 'd2b1e757b2e26c24', '519d7a7f0dbf9716']; context = [[113, 152], [95, 150], [5, 66], [12, 76], [2, 64], [78, 123], [72, 112], [34, 72], [6, 63], [60, 108], [4, 54], [11, 57], [4, 47], [1, 51], [45, 84], [14, 74]]; loss = 0.015042 low_pass_filter = 0.300
+Epoch 0: | | 13769/? [2:24:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 13770; scene = ['3e5f9fcbe5940674', '0ee698ea63df4fbd', '8d1c21696859cfa4', 'ed8d1829b15314e6', '57f08b58536b695d', '57ab998454402e4b', 'f5c74a79946b8cca', 'a526a271a561bc23', '0e3dd3714c78c34b', '1468285f818227c3', '0a3c48bdaf8771da', 'a57c3d7a98497d6d', '96e650d88643f131', 'aa91057e660588a6', '711eaae87d76ac0e', '21b43052b04845cb']; context = [[0, 39], [2, 48], [7, 65], [57, 104], [13, 55], [144, 205], [19, 56], [18, 77], [60, 124], [4, 63], [109, 163], [77, 117], [2, 62], [51, 114], [37, 74], [24, 71]]; loss = 0.013206 low_pass_filter = 0.300
+Epoch 0: | | 13779/? [2:24:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 13780; scene = ['b3d00cf94ec7c598', '2005f0e5c1dcf4f3', '42e8ce77eb573d3b', 'edd6edfb48780892', '830ae97d2cd7c39f', '74ea3fba9bc2f643', '85d1ef80ae3409dc', '60f8dae5645cd128', '0745d537fc1aec73', '0f714589074ad057', 'e512661bf75c3a7c', '89a157ea50b44d8e', '770814423651553f', '658a1b41b954b052', '0f5d5b92ce2aca3c', 'f9540970fc8a58cd']; context = [[9, 59], [57, 102], [6, 59], [96, 142], [3, 46], [17, 65], [3, 62], [42, 97], [30, 83], [0, 44], [22, 78], [24, 68], [22, 77], [15, 59], [36, 90], [72, 109]]; loss = 0.013484 low_pass_filter = 0.300
+Epoch 0: | | 13789/? [2:24:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 13790; scene = ['e69bc9dfa8547753', '746e147944928a14', '36c90e7d21f80783', '15ee0149c03dabf0', 'd2fd8446b4448fa4', 'dfa2e964f8ce4d39', '3cc86cfc33962094', '61232854228e43aa', 'a193c64d74fa2f80', '9ed779c476a0d833', '41da53c2b1d8a000', 'bc643adc48271cdb', '47210b903aa4d642', '2cc1b0a4e04011ed', 'e9a730eefa817d23', 'a9a22927fa79bd7d']; context = [[26, 88], [6, 66], [12, 51], [88, 147], [22, 79], [41, 84], [34, 74], [13, 75], [40, 88], [25, 74], [16, 77], [48, 107], [46, 105], [8, 49], [25, 64], [11, 58]]; loss = 0.015570 low_pass_filter = 0.300
+Epoch 0: | | 13799/? [2:25:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 13800; scene = ['91eee96f9be7ebda', '5f9233c447468e7f', '8ef58a226c35f66d', '98c577bfe33e4dbb', '617bd94137b51919', 'bb9122703d0446ac', 'ef25872785ca3f37', '25eeae41506761c9', 'b5d098785d0e61d4', '6ee2bb07a8bd228e', '8d212dad6fa203e0', 'eaf53403cc8fc00f', 'a8cb13d02b8d08a7', 'ad94a851400c5736', 'bd182d46b53efd66', 'f40dcee8e5d60508']; context = [[6, 62], [115, 168], [59, 114], [59, 105], [0, 49], [10, 53], [15, 57], [3, 60], [0, 37], [2, 49], [137, 187], [33, 89], [122, 161], [124, 177], [34, 84], [29, 85]]; loss = 0.014318 low_pass_filter = 0.300
+Epoch 0: | | 13809/? [2:25:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 13810; scene = ['1d83764e77e159d8', '7713ce831ffa7df9', 'a28f806c4f91b310', 'c385bb313dbdd58e', 'c7329bdb7df9f49e', '28d2f24cc7e2fccb', 'd426c64fa2b71ff8', 'd68565483c9b4696', 'bfaddc0e4ccfe12d', 'e310d39b3b13542e', 'e83f2a56d8c098e2', '2b5e6d0ebc0b794d', '763527b7ef5f0329', 'f47ce554c1100cc0', '1c32325abe22ac6f', 'ad6382d589e53358']; context = [[16, 59], [45, 85], [59, 98], [1, 52], [13, 64], [26, 79], [2, 42], [39, 93], [71, 121], [10, 51], [81, 128], [51, 99], [53, 111], [4, 42], [71, 109], [26, 68]]; loss = 0.013174 low_pass_filter = 0.300
+Epoch 0: | | 13819/? [2:25:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 13820; scene = ['dd4840f0d5227d5b', '77e47a1640600d9d', '59b3c17420275035', '697f83e843f73081', 'f1a9709b9ff2378f', '4295bfc6ba13e9f8', 'fd55f7a0e88e3d43', 'c690ac1fce97b13c', '3debdc37dfa853af', '6a44657fae01aa35', '28d29dd6d33266d5', 'a8895c51aa1cec18', 'd44b000c0178afbb', '47bec18c9ad9ca34', '7567b089651c7646', '96714b3f3d968ade']; context = [[59, 119], [27, 71], [3, 48], [17, 73], [2, 59], [142, 202], [57, 101], [12, 56], [59, 102], [38, 76], [38, 75], [85, 124], [5, 58], [5, 51], [3, 56], [13, 57]]; loss = 0.013559 low_pass_filter = 0.300
+Epoch 0: | | 13829/? [2:25:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 13830; scene = ['cf8a06270fe5ab88', '036cf5b39576c192', 'ae8afc0cdbd8936b', '0223c85e8003b7e1', '61a4f86c2f74d224', 'a2a6afe0218b9dd4', '046d75590f2a2769', '63c9e875a467197f', '202a0b47ba9ae6e7', 'ad7c648e328fad19', '45de740754866f93', 'fe55cd1565d9cb79', '9ceab0f597c2a4d9', 'f6cfc1a7085f3ad6', 'afb74b4aa8e93a22', '5f6230d18c679782']; context = [[26, 70], [2, 64], [24, 73], [67, 108], [24, 77], [46, 84], [65, 117], [13, 54], [103, 146], [22, 86], [19, 58], [24, 62], [42, 99], [51, 102], [0, 37], [0, 46]]; loss = 0.011876 low_pass_filter = 0.300
+Epoch 0: | | 13839/? [2:25:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 13840; scene = ['baf76f04fa2aad10', '4d27fb96530fe02b', '4d09e3caa445622d', '3738d513d59db9ea', 'f83ed991c4d270c8', '9f9a401b7839cec6', 'e456fc623facc848', 'a576a801c7d2ff46', '0f710827f72bbd64', 'e77831c1b48a833a', 'c9aff096959107d9', '71f80ab4e9cbf2f7', '54ae80e682751efa', '5b7c70d9fd79a963', '538cf5bc7ab8cb9e', 'c142bfbee1ce24be']; context = [[6, 59], [22, 78], [10, 51], [66, 120], [5, 60], [153, 194], [85, 145], [151, 202], [18, 61], [17, 66], [34, 84], [33, 78], [0, 39], [44, 107], [0, 37], [7, 51]]; loss = 0.017273 low_pass_filter = 0.300
+Epoch 0: | | 13849/? [2:25:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 13850; scene = ['4268e3a564bff6be', '526648b6db73136f', '67fcd56243f81f4f', 'ea30bf8a65e93961', 'fb6364b47d824180', '019bf9d48f4362ef', 'a356dab14e5662de', 'dd5ed29765330d4f', 'd1c6899b6c6ef917', '0c2a75ad7d5b971d', 'd450bfc8d4fd93fc', '707548393b4bc8a5', '001c43a59a9e0b16', '26865dfe439caf77', '17f9beb10ab4ba3e', '350a508a31e0b121']; context = [[27, 89], [165, 228], [52, 104], [5, 50], [181, 236], [121, 177], [25, 78], [21, 66], [32, 75], [10, 48], [1, 44], [19, 64], [77, 121], [35, 96], [27, 84], [15, 62]]; loss = 0.018794 low_pass_filter = 0.300
+Epoch 0: | | 13859/? [2:25:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 13860; scene = ['847f9e4b492c7a50', '591324b1a786d91e', '7d81b28b7afe5738', '06fa105dc99b1146', '8f243526414052a6', '6e024fbe00be60cb', '9c36d2598d7e13cf', '3889e4f29991c299', 'a40274cf4468abdb', 'dca7474ba5dd996f', 'a090986d596da80b', '92ef4dfd5f195078', 'b240297430c5fd0f', 'cfe531ef2a7a897f', '720cf6e310dbd418', 'cf888ec2e5f3dad2']; context = [[19, 70], [44, 82], [53, 95], [3, 56], [32, 72], [68, 111], [10, 70], [14, 65], [3, 53], [13, 74], [147, 187], [18, 70], [8, 56], [14, 71], [72, 119], [0, 40]]; loss = 0.013740 low_pass_filter = 0.300
+Epoch 0: | | 13869/? [2:25:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 13870; scene = ['6454334af1aaabd9', 'db085f4da5bb3a11', '77d9893ba17a1330', '2b92e1411ef38e4d', 'f76db35ccf517018', 'abffceaf0098faa8', '1d08d09515970972', 'c1fec197b3a59315', '0ca219e558a9ced6', '853afb68eecbe04d', '7ba0bb51ce172710', '37b468e1f381e86f', '17e52586d0101584', 'c1edfd2888b2f733', '9031e8656bfd9860', '8ba00e36506d98e3']; context = [[91, 140], [51, 107], [45, 98], [7, 57], [17, 72], [9, 46], [15, 64], [1, 38], [26, 84], [0, 64], [81, 133], [153, 205], [41, 95], [37, 75], [18, 72], [19, 57]]; loss = 0.013002 low_pass_filter = 0.300
+Epoch 0: | | 13879/? [2:25:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 13880; scene = ['687eb7dba064026c', '5f94acef4e9e71b9', '32b2e26cca9189d1', '8956940f736559e9', '7820e14afd7e6c70', 'b544cb6ee5baf553', '2f62fdeadc036a3d', '36cf199e21b7e3b0', '0c86c60b5b3d3aca', '7fb9eb21253b0337', '2f9c9970cce165c0', '3802ddeefb223acf', '5637bc1cceefd79d', '9f05e6c83ef543a8', '430bc08fe6ed53bb', 'b2f79e32a7cbc795']; context = [[29, 84], [25, 67], [42, 93], [44, 86], [93, 156], [3, 67], [75, 138], [33, 76], [6, 43], [22, 80], [57, 105], [61, 98], [52, 100], [29, 70], [2, 40], [11, 48]]; loss = 0.014101 low_pass_filter = 0.300
+Epoch 0: | | 13889/? [2:25:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 13890; scene = ['74b37d0f4d16f872', 'be436789cc7f7298', 'e5a9f9a576763b76', 'a385440bff1c331e', '4115171963f2be75', 'b58e1b0c8b1c24f6', 'be5e569ee7a66bc6', '83de8bf91d2069d5', '9be0c96f8a043031', 'b347ca3fe5c925c9', '91818d54399d0805', 'b310b8564a3d7ba7', 'f84e36c0bc4eaf18', 'd0c14d4e1d752e36', 'e9e7bf21d274fc47', '46c98543a5160aca']; context = [[12, 75], [103, 164], [7, 46], [15, 56], [31, 73], [25, 77], [55, 98], [12, 50], [19, 67], [4, 45], [142, 201], [17, 74], [83, 122], [23, 66], [4, 42], [200, 260]]; loss = 0.015507 low_pass_filter = 0.300
+Epoch 0: | | 13899/? [2:26:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 13900; scene = ['72c3d43fd80eb9fa', 'abfcade637383eb9', 'ff233cb7b51443b2', '4be5676fbd1cd9fa', '9abc9eb2d8d58140', '88c4181c7c107744', '68785d590f5ecc73', '2ad24b5dd5badb67', '46881838c62b5ed9', 'd6d5cc5c3344fca5', '7e50e4e8c212d948', 'fdc78f3a20011090', '67b559f9126c60be', 'cb0bfaf5a5012ebd', '5fa60c880368bb4f', 'f757d683875ba54a']; context = [[8, 57], [25, 70], [94, 152], [20, 81], [2, 44], [62, 117], [122, 173], [43, 100], [29, 93], [104, 153], [17, 80], [89, 138], [63, 109], [1, 42], [44, 93], [21, 70]]; loss = 0.011272 low_pass_filter = 0.300
+Epoch 0: | | 13909/? [2:26:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 13910; scene = ['d059e03df51cd36e', '46564aa3cafd9354', '0c6042e9899a2e96', '47c387efbac50758', 'd48d56679e4ef811', 'e361cc2d6ff1dcbf', 'b8709511255b1c76', 'a64864550f5058bf', 'e5cd29987417f050', '41eca61ee7abdbf1', '4b6f368238db6ba0', '9c4ed2cd8353b8c7', '0b3f29e16000d254', '8ee32af7b707a377', '334683227f0e3f59', 'c3fa95ae16106a95']; context = [[3, 45], [1, 63], [189, 243], [21, 64], [68, 113], [43, 91], [26, 71], [29, 80], [69, 133], [14, 53], [13, 51], [23, 82], [22, 69], [20, 68], [172, 232], [61, 113]]; loss = 0.013197 low_pass_filter = 0.300
+Epoch 0: | | 13919/? [2:26:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 13920; scene = ['f7aad825d64e7371', '459261e4c39753c3', '02660d7eeff1def7', 'b1d124753a0704fc', 'ada7af33c9bd3f02', 'bd7e2ab0f8736d44', 'c9fde051aa0d2077', 'ab191b85edb8c03e', 'a085149436e31f8e', '4758fab8bfaed306', 'ff04b0d2f8c16c32', '3d50dc48f74ae737', 'bda52ecfcef87a70', '2e6a0cbdbcf21085', '4fb7456109baffbd', 'a6bee29ca4b79051']; context = [[15, 77], [18, 58], [107, 160], [45, 93], [58, 97], [10, 72], [69, 134], [165, 211], [65, 118], [8, 48], [60, 103], [79, 141], [11, 57], [55, 93], [54, 115], [26, 67]]; loss = 0.014747 low_pass_filter = 0.300
+Epoch 0: | | 13929/? [2:26:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 13930; scene = ['2aac042a0d362f0b', '6dfa6c612f9209f5', 'e191c3d4ea711568', '4a9f133fa50069b4', '5b0d6c1647214139', '249f78d6d0b9f4a4', '31ba36328f5e0f9a', '8c174f21bde778b0', 'ebf2a11f815fa2f5', '5f61074b8462150c', '5e78af90c3e5d57a', 'bba36936dcdaf4c7', '662c746215388880', 'f299ba5cdef8e35f', 'd96f4644b2bc561a', '6f0f0133f8cd5eaf']; context = [[161, 198], [31, 85], [10, 60], [6, 64], [38, 93], [163, 210], [141, 194], [192, 236], [31, 84], [64, 128], [115, 170], [53, 90], [115, 172], [1, 49], [13, 74], [19, 59]]; loss = 0.014013 low_pass_filter = 0.300
+Epoch 0: | | 13939/? [2:26:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 13940; scene = ['8ef643c4e1cb9baf', '5c0ddb9de8c16f05', '05596054e7569f2b', 'a850ad4ac280f808', '173ab2604ff454fe', '94f3c76159f9ec82', '0f167a6ac8878c6b', '748b69c4c415b190', '4f9716bb3dc7feec', 'd6045d186161558e', '308ec88c1ad9b768', '2946d1671bef8129', '23174a6cd65a0731', 'a367a7587df5e00c', 'ba66ab644596fa12', 'f5bc5f1993328821']; context = [[30, 88], [89, 150], [0, 62], [79, 140], [65, 130], [2, 55], [25, 88], [73, 137], [96, 144], [56, 105], [174, 213], [69, 106], [95, 151], [2, 41], [16, 57], [45, 86]]; loss = 0.015276 low_pass_filter = 0.300
+Epoch 0: | | 13949/? [2:26:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 13950; scene = ['7675274ae392957c', 'f6d42a46a90eeea1', '71791474009b1187', 'a1d25da6e5e8cfd4', 'd8563131cb9d153d', 'b5237e6b6780cd09', 'f64446deef2dbd58', '2f74b757e9ea84d2', '0629ed12b2911c15', '76ea5de1390cea9c', 'd06cb007800ec3bc', 'f584aa11250e6018', 'e61efa08cd504fff', 'b5a9e068f8fc753a', '54104c97a5ac945c', '839f1ccd1984642f']; context = [[10, 75], [30, 91], [0, 48], [20, 64], [4, 59], [11, 67], [92, 157], [224, 265], [54, 116], [128, 166], [125, 162], [197, 245], [4, 68], [3, 40], [62, 99], [48, 111]]; loss = 0.011104 low_pass_filter = 0.300
+Epoch 0: | | 13959/? [2:26:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 13960; scene = ['a3b6faa8d238d993', '719e2e8912e4eed3', '6c3768786d78dafd', 'f44b9aa76a94a0a3', '85a7c0a79d43409b', '25732504cdff0b15', '5c6220acfae016ee', '27fc0e7b8cb19777', '6847234a262ac256', '12cc6c4ce9fc8ea3', '2b28b72745f71555', '5e7393a6f6396b3b', 'b6ad7033ca0cbc19', 'f26b0f41d07e095e', 'e1552e01242047f0', 'c356250cc2aafb8f']; context = [[44, 86], [4, 69], [5, 52], [1, 43], [57, 122], [36, 74], [143, 187], [54, 95], [51, 112], [62, 110], [12, 68], [1, 49], [81, 127], [45, 87], [4, 57], [164, 224]]; loss = 0.012931 low_pass_filter = 0.300
+Epoch 0: | | 13969/? [2:26:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 13970; scene = ['f661fd9e62653225', 'd698675238c917e5', 'e0a3c0023e6ad8f8', '41670549269951f0', 'ea54b1c520a2eca9', '534e2a52aa6a57ea', '0a8af1c0c2360992', '338a1e8f27cd7f45', '1af9d0a563d8fc8a', '76ad9054e25f6e8b', 'b6201ff1dbf6ab42', '49a8af003cd5aebe', 'edf1fdd253534e5b', 'f5a7a5a2951eaac2', '1f02ca863fdce25c', '1969b19fe6a8b88e']; context = [[0, 63], [3, 59], [5, 57], [24, 77], [1, 61], [101, 154], [9, 58], [35, 86], [78, 142], [2, 56], [0, 39], [200, 257], [85, 133], [2, 62], [49, 93], [101, 144]]; loss = 0.013560 low_pass_filter = 0.300
+Epoch 0: | | 13979/? [2:26:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 13980; scene = ['9d5a8743f862007b', 'f2a043c2bf7dd45e', '08db89a1f93cb339', '3d896caec571f0c5', '4774ac3c0d87204a', 'd7147c4bf4c85bfe', '219cf573d508d23d', '5705a9af99505ea3', 'f7dc4697cd71b0ab', '5dab5955ca910d26', 'fc6479bd5c3fe413', 'a17c49da57bf12ac', 'a58e67f621a506e8', 'feb5c823a5dad906', '26c64f1dc4c7f813', 'd357fe9e7672ea4f']; context = [[3, 40], [25, 76], [70, 110], [8, 50], [131, 181], [62, 108], [3, 53], [83, 147], [80, 123], [14, 76], [24, 82], [1, 41], [49, 107], [85, 126], [31, 76], [27, 91]]; loss = 0.018046 low_pass_filter = 0.300
+Epoch 0: | | 13989/? [2:27:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 13990; scene = ['ee16ad65a39902d1', '1915fe94c9a3ffe3', '948978fda6851a90', '1e31b7611058ffc1', 'c9c985820d5ccef9', '0765f921b5446d8e', 'c7be7b75f1571013', '0ec74c80b0542c7d', 'cb9560f7008d7314', '473a917e0ee91a80', '63624b6a57f69f3d', '6e840c0f6855ccd1', 'e9f2b3b91f9a1996', 'b3f1d9e291979d4d', '9c5add8591f693dd', '39d9f692bfb58d80']; context = [[51, 114], [36, 95], [142, 188], [86, 142], [0, 50], [23, 70], [50, 112], [51, 97], [2, 63], [23, 86], [19, 71], [0, 45], [8, 66], [10, 66], [71, 134], [47, 108]]; loss = 0.013784 low_pass_filter = 0.300
+Epoch 0: | | 13999/? [2:27:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 14000; scene = ['b212a26fcbd831b1', 'ae12457eb84c3109', '09084445f13c2ecd', 'd513d044b92055cc', 'bdb556235c45ef57', 'c34f53846021bdc7', '4ac5bc6492182933', '328a6875cb5eb807', '0fb8532f1a1d4f72', 'ab8ba3fca25f24eb', '42137efac1bbce12', 'c1094056fcac6331', '0cd73950b7539bf8', 'c582053fd69dfb7f', '70ad344d01754f5e', 'd5561c0305ee866d']; context = [[0, 37], [37, 80], [22, 86], [176, 234], [68, 133], [45, 93], [47, 84], [85, 125], [29, 92], [9, 51], [20, 60], [20, 82], [1, 50], [7, 62], [21, 85], [18, 61]]; loss = 0.019673 low_pass_filter = 0.300
+Epoch 0: | | 14000/? [2:27:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0validation step 14000; scene = ['7b1ff8281519a3b6']; context = [[5, 51]]
+Epoch 0: | | 14009/? [2:27:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 14010; scene = ['37f9497a8f139f29', '457547a7a87be759', '33668c6cefb30ac1', 'b3d5d06ce9253aef', 'e74e0788788b847e', 'a369b7c3a80ea247', 'a958848b744684a6', '41c64dde7b56feb0', '23d1a6ecb86b7bba', '0aeb2505e5199398', '3707db8a6b7f187d', '8cfc325d1160f4fb', '00c10c2280022998', 'b9b42ef7a725d121', '5a4a4d48c6270ad2', '8aebff137f25796f']; context = [[8, 71], [5, 66], [74, 117], [4, 62], [51, 104], [11, 50], [2, 62], [16, 54], [3, 59], [32, 92], [1, 46], [0, 50], [71, 117], [62, 118], [93, 152], [1, 38]]; loss = 0.013252 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 14019/? [2:27:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 14020; scene = ['534e2a52aa6a57ea', 'b6201ff1dbf6ab42', '53092162e6282a58', 'd344f6055d875690', '3062ac95a34b9b4f', '23b99c0bdf36a8ab', 'b80c2522b1070e2f', '0a6d080826d442d9', 'bf7183b5e8a651c9', '2e3bb7fb33e1ed30', '62216d162b71b5b4', '5ba525fb96ec7f76', '63f70b8bfa08420f', 'd6ea07dbb2167eb5', '7856307929acbfc8', '3aa51ffb5daa1f14']; context = [[80, 122], [2, 39], [13, 60], [83, 147], [6, 60], [44, 91], [63, 125], [0, 37], [4, 55], [47, 110], [11, 63], [183, 225], [6, 55], [33, 91], [16, 61], [5, 45]]; loss = 0.017160 low_pass_filter = 0.300
+Epoch 0: | | 14029/? [2:27:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 14030; scene = ['9ed9d087eb810705', '1374f1c247f796e1', '1d81f59588ab98f5', '5f0a8cfefdaaedcc', 'd0a703be7fbaa9db', '8c67d77a1f9a6b14', '2e770da39beca629', 'cc64908cbb514ebd', 'b370b579bf5e3c23', 'fc68db62b98934af', '7039734be2f00317', '51d0544fae56e467', 'd1b9a1b70474466f', '3b46f7051f8f7435', '62fe323977f07a05', 'b88bb5a497a3359c']; context = [[100, 149], [84, 136], [22, 71], [150, 196], [23, 88], [10, 53], [37, 79], [38, 88], [1, 38], [117, 180], [50, 100], [97, 148], [7, 55], [59, 100], [12, 59], [36, 96]]; loss = 0.010552 low_pass_filter = 0.300
+Epoch 0: | | 14039/? [2:27:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 14040; scene = ['ed55991691ca8f5d', 'd5cd07f5951dae35', '4937d2e5a298d69f', 'f0712581f6277ffc', 'cff943ff40169064', 'b6aeac1bddf8da07', '71d5e4a63de69039', 'd8a3b176b0529293', 'ad4e193f353a8711', '6646ff0217496aff', 'b544fabd9660c1c4', '093902ed5d7ecbf8', '640df76ceeee5757', 'b14d792da4aaeaaf', '1241bcb5732a9502', 'cc8480640599f9f3']; context = [[52, 100], [36, 82], [1, 45], [0, 65], [5, 63], [41, 79], [30, 78], [28, 70], [0, 38], [1, 47], [32, 91], [66, 128], [3, 59], [20, 70], [11, 73], [31, 69]]; loss = 0.012225 low_pass_filter = 0.300
+Epoch 0: | | 14049/? [2:27:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 14050; scene = ['94225e407e4244c1', '8fed5b10f8dcf9ea', 'cd61a8d26b82f9c6', '98cb259cd905b8ac', '969fa5306305187d', '64287c467f9c455b', 'c7429dda9e108a54', '2f0b59c1ffe70cc2', '26e37e586c020680', 'cf977b0362ca2e4b', '3d24db7c9cd49075', 'e81379351dfd7263', '3101e062e990fb4c', '02ea4129dd5d7b3d', '658fd2565c2cd3bc', '1e97fe5dfd5c79a7']; context = [[50, 114], [7, 64], [1, 64], [50, 106], [12, 67], [103, 159], [25, 81], [20, 57], [15, 56], [0, 65], [4, 43], [0, 58], [2, 55], [18, 83], [13, 72], [0, 52]]; loss = 0.014911 low_pass_filter = 0.300
+Epoch 0: | | 14059/? [2:27:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 14060; scene = ['fdc53d78156ed9ba', '95306ec7c18fe2aa', '8fd5c7d863169cdc', '511f289d8a770c6e', '2ea429d644e38f65', 'f5471975e1f7a3da', 'd7e57fa8efeab0f4', 'ba487bd4664b625c', '72b7cfc5c04ba073', '2b22adb0f3e6fe45', '322083b9a4670c0e', '03af818d3239f255', '4b374b06ce7baaed', '4c48ee1906d98759', '30de28493bbbcd31', 'd29332e9bf77c2d3']; context = [[16, 57], [12, 71], [94, 141], [15, 71], [0, 40], [32, 89], [5, 55], [0, 45], [56, 100], [114, 160], [74, 121], [73, 116], [7, 66], [0, 37], [196, 247], [0, 41]]; loss = 0.018227 low_pass_filter = 0.300
+Epoch 0: | | 14069/? [2:27:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 14070; scene = ['197cb3c37b94b9f7', '5c69bd51aa98d9e6', '3dd560de73369b4c', '0f26d93c48eb3c0b', '10390a2ff18f8f55', 'a7f8fc1a43b57769', '6b943f72dbe39502', '25ddeb79b2af1e5f', 'cffc10bcbe70f685', '607df4cb27b5f8ca', 'a58980998f8df20f', 'd957aee02957a578', '324471947ba558ab', '5aca7006794b4c08', '1c2d33b30f3201f8', '356b851ccc42bcf9']; context = [[34, 73], [57, 122], [3, 41], [8, 45], [34, 91], [112, 156], [0, 43], [27, 70], [179, 243], [39, 92], [95, 147], [14, 61], [3, 67], [13, 65], [39, 88], [9, 68]]; loss = 0.015497 low_pass_filter = 0.300
+Epoch 0: | | 14079/? [2:27:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 14080; scene = ['e51ef9945ae527c4', '64b5670c384d443a', '286c79e1e93e8c3e', 'c70ec2266ff05de9', '10ebe1515b68ea7b', 'b8553aae28eef225', '99b9d665bd0f367a', '895396d4ceaee46d', '9765cdb385a62c8f', '0f7a8da9221b2a2f', '7c7abf86e91d1d1c', '626634d7c85c3909', 'f9ee4b8ed48bd9f3', '4d72f2752f9a8439', 'e36559fcd2232e9a', '74100e9fd6373f84']; context = [[78, 132], [68, 119], [30, 92], [14, 54], [53, 90], [141, 204], [14, 71], [16, 73], [127, 183], [72, 109], [0, 61], [1, 40], [47, 86], [152, 201], [0, 51], [192, 245]]; loss = 0.017512 low_pass_filter = 0.300
+Epoch 0: | | 14089/? [2:28:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 14090; scene = ['53d3a781a7db7cae', 'a59d4fe567e33cf0', '95e2d1a9e6e1ce77', '25d1d1a22391449f', '9bc6fbf248bc726e', 'ce02a33915d0b0d4', '51f633fd87dee5a3', '7c1d6f3dd9542cc9', '887d4449540630d9', 'bfe6277ea60796e9', '9fe9c8baf0730f30', '05519147ca499d14', '1cf67dcee73f1c6d', '4e94ba0878d533df', '322d3c9979c5f6d0', 'efbf01ca01dda8f4']; context = [[28, 83], [97, 158], [53, 94], [1, 41], [39, 84], [0, 52], [42, 83], [74, 113], [43, 98], [8, 63], [22, 71], [49, 97], [42, 83], [41, 82], [123, 161], [13, 77]]; loss = 0.012483 low_pass_filter = 0.300
+Epoch 0: | | 14099/? [2:28:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 14100; scene = ['9f718bd70c758cf6', 'da622e4400f54e54', '13ef9d843af0eb46', '36f938158d4cde4d', 'a5c03b0c5fb7203e', '08037bd2a08cfbcb', 'a8f7946996aa6d67', '796f21c742920e47', 'c6ff95c0d520def6', '27c7362a27f418ef', '169f09c33ee35289', '42a6c835ff830674', '17078e61ee975a4c', '50c5d11d48ce6ea3', 'eae83400ec7b69e5', '5679f4f2f6c7e7ae']; context = [[0, 43], [3, 44], [63, 111], [55, 110], [6, 68], [6, 62], [43, 102], [40, 90], [6, 63], [45, 95], [78, 127], [34, 78], [15, 73], [10, 72], [56, 103], [34, 81]]; loss = 0.014184 low_pass_filter = 0.300
+Epoch 0: | | 14109/? [2:28:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 14110; scene = ['ac04f087ba9e9344', '31281a4af48068e1', 'bdd33fa56672326f', 'c12ebeadd6439be1', 'a6f288f683117a0a', 'fee1c997daddaf5e', '416db1671b1b6930', '9720c3df7c44a901', '5bda0a0bdeb8fa19', 'd83de2b77e54dee5', 'e04b4e9d1434c051', '7dce7662605b5320', '8ac4975d9a12b234', 'f6d63501c556f2ca', 'a4890bc0e3fe95d4', '5a1011ab86b77657']; context = [[5, 43], [42, 87], [20, 73], [0, 37], [76, 118], [36, 95], [7, 53], [39, 102], [79, 121], [1, 43], [22, 73], [3, 50], [4, 59], [11, 62], [113, 160], [39, 82]]; loss = 0.011646 low_pass_filter = 0.300
+Epoch 0: | | 14119/? [2:28:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 14120; scene = ['d0fcbd772d6db808', 'a88c205cba26fab7', '6ebc5808aaad5f68', '503baef644d73490', '6b7b1bd6d14033d7', 'b35d6c45f0b190a9', '32bd3322556bc88d', '3b348c5244a57b53', '32595088703a7895', '563a138b2acdd919', 'f29893ce84058edd', '536379d000ca3575', '4f3b786e5b6c7068', 'acd293363db06c1c', '3e80eae957a9fa4e', '93f7d68e72ad5f83']; context = [[194, 235], [50, 95], [45, 89], [183, 221], [10, 57], [68, 133], [6, 46], [1, 41], [81, 128], [59, 121], [8, 48], [72, 127], [8, 63], [12, 67], [11, 68], [14, 64]]; loss = 0.010873 low_pass_filter = 0.300
+Epoch 0: | | 14129/? [2:28:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 14130; scene = ['037b77f7cc0565e4', '1c71c8e9e6c71a6f', '81323576180ae2d0', '93f34f0d4f213c72', '6107ebfec4cb10db', 'a8b1d904336c4a70', 'e6461cee8a9474d5', '7965726c5505e51c', '2e4ade10d31deb93', '497905dfd41aea44', '5d986af113fbac56', '3b37f7f58ab83fc0', '9ae93c878c7dbe8a', '140aa546a9c90b5e', '369d8223a3fb126a', 'f9f88264381edb54']; context = [[35, 98], [0, 37], [3, 46], [4, 58], [10, 51], [60, 124], [10, 51], [33, 76], [15, 66], [221, 276], [58, 118], [21, 62], [68, 111], [50, 100], [13, 56], [33, 82]]; loss = 0.015564 low_pass_filter = 0.300
+Epoch 0: | | 14139/? [2:28:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 14140; scene = ['b5796c53382a4a34', '42ac231638987587', 'a81848e02110f714', '393b490d9f63512e', '325bc79016efb0f5', 'f7f7f1a5b8ac1d79', '7a20ba81fb778529', '88f0af68eabf0b4f', '1395aaf6dd0de7d4', '33a019daeabebf46', '50cebc64e0362f96', '33425a4e98c558b4', 'bf7da55d3ef026cc', 'cc5279bd4e79c125', '0a6ef06298ba3b4a', '826c7e44cbfc5d1a']; context = [[28, 70], [98, 136], [28, 87], [13, 73], [18, 80], [51, 96], [33, 92], [19, 68], [36, 98], [10, 74], [25, 80], [29, 77], [21, 79], [24, 66], [34, 99], [6, 61]]; loss = 0.016613 low_pass_filter = 0.300
+Epoch 0: | | 14149/? [2:28:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 14150; scene = ['e552fbc688a36113', '43ee1db1e7636662', '10e801244cd4bcb0', '554c4773a1d8fa76', 'a0aa55abb59b70e2', 'f36581e435eb92a5', '163b00dcf34c2a6e', '55f1013e8571c494', '3ec63a7f8feaee08', '17d0ebb4232549dd', 'c8557da11d7874e0', '091fdc7a25e6f6bb', '1ef4450999f0e6a8', 'aaeda995507b804d', 'f588ea739564c96a', '1ddbae6bdf4de387']; context = [[2, 64], [8, 65], [133, 191], [2, 50], [33, 77], [9, 55], [2, 58], [7, 54], [190, 238], [96, 140], [51, 112], [94, 131], [116, 177], [35, 75], [68, 119], [25, 84]]; loss = 0.013407 low_pass_filter = 0.300
+Epoch 0: | | 14159/? [2:28:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 14160; scene = ['a3de547580187314', '3188d7690207730f', 'fa8f4582220b67c3', '14c275162f918417', '2a9d20d8ed924d2b', '7c118e4cc07c075a', 'f40474e9d43e7fc3', 'c2d8c9cdc34bfb81', 'b88508fa7b6a870d', 'e15484e3735812dd', 'a5b68d36c4639021', '52ba4ac9ee6a478b', '953913f710eb02c7', '1807c250a83d90b3', 'bbe1b908d3d88433', '0451af163cb65d8c']; context = [[22, 74], [7, 48], [197, 234], [64, 111], [44, 99], [44, 83], [36, 92], [81, 139], [2, 51], [36, 86], [146, 203], [0, 51], [0, 42], [31, 80], [15, 61], [13, 63]]; loss = 0.013412 low_pass_filter = 0.300
+Epoch 0: | | 14169/? [2:28:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 14170; scene = ['bb74ae75556a8885', '41616caa49584d42', 'f388608cf7295e88', 'bc9eeb453e01fd5e', 'c365ab51c29c0f47', '525704f3d9c6bb04', 'd1208cce4fb6ba0f', '6b11502564fb7710', 'f819c202c82dbd4e', 'dc416c3132e5f144', '234412571834f399', '8d578313f413b0df', '4fbb00ed2fc06e3a', '5f38887f43cb3920', '3824b41cee2ad683', '3691cd26c7100116']; context = [[19, 79], [11, 71], [35, 90], [39, 90], [55, 120], [17, 79], [91, 130], [8, 57], [3, 53], [28, 91], [59, 108], [3, 62], [2, 61], [81, 140], [54, 117], [32, 96]]; loss = 0.016044 low_pass_filter = 0.300
+Epoch 0: | | 14179/? [2:29:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 14180; scene = ['082026c0ca8b7289', '5bae277ea92640a3', '52196a3cb888c430', 'a15a797d550d5c07', '9d37761f3e526b2e', '8fad002621cb9a72', '587a249b3119ff0e', '90f8e4ba9584bb21', '4a53a9711f98a0af', '287f04b4d4c3d565', '2b6287b06fc332a0', 'd4f0cd8777b3d534', '40d62c1c34dcb4ad', 'eefd18e172ae4596', '0fc84f9949ed58fe', 'fe1073d78503215c']; context = [[44, 84], [18, 83], [1, 47], [146, 193], [3, 41], [133, 189], [44, 102], [29, 84], [35, 85], [9, 49], [33, 70], [9, 56], [88, 142], [15, 73], [26, 89], [4, 45]]; loss = 0.013662 low_pass_filter = 0.300
+Epoch 0: | | 14189/? [2:29:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 14190; scene = ['112c22adc24893f7', 'a43e273ec9868dbf', 'd54869df76bcc06a', '7ecf5dab221fb781', '0abc1a3b9c31f452', '64c1a413b76574a7', 'c57b526f18f6105e', '8f05210509599df8', '9d28e040fb4102b7', 'eb0e53623cc88755', '5a261eb9162232e4', 'ece3d30bd2dc2a4a', 'cfda25f825c0e037', '02b97fbf802a5e63', '65aa0f2e84478362', '56a791622a84e3b9']; context = [[50, 111], [63, 123], [5, 63], [5, 57], [119, 169], [41, 99], [45, 107], [23, 60], [9, 60], [2, 55], [0, 60], [1, 38], [190, 240], [50, 103], [2, 55], [41, 87]]; loss = 0.014739 low_pass_filter = 0.300
+Epoch 0: | | 14199/? [2:29:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 14200; scene = ['97a2dba4959a326d', 'ec349cabb9b47638', '6f4fa444ace5838b', 'ec95a136b7913856', '1fcda0030be61dd2', '15520790d9920886', '6dfccb29bd9d71cd', 'e705947a8dc11e1f', '3fd5003b2ddfc76c', 'fefee4a630297cdd', '10a259caf4519047', '050248d92269fdd0', '39c2cf9a036278ce', '39cdcc5feb2f7f4a', 'e7cfbaa323e6a40e', 'dbdfb42f84f5f2bf']; context = [[136, 177], [51, 107], [53, 114], [106, 164], [12, 75], [9, 73], [74, 131], [7, 66], [4, 52], [160, 222], [12, 75], [66, 122], [212, 256], [145, 193], [138, 183], [4, 61]]; loss = 0.013284 low_pass_filter = 0.300
+Epoch 0: | | 14209/? [2:29:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 14210; scene = ['0da66e0b84245e9a', '0d58b951f36e525e', '4e63d66b5be95f86', '5108afe9f18fa9ed', '1b05efe10364c018', '51906f14ac9f95c4', 'f86cf6a67566bbee', 'b095acdded6e47d1', 'd0f966e06d2aa8dc', 'd766eac515f8c9df', '125e043ed828047e', '9237d0a19afbabcd', '716ae06f1f482356', 'ecbe61f0d93b5578', 'e8988b8e3c25d157', 'ff9300735daca726']; context = [[48, 95], [19, 66], [0, 45], [0, 48], [49, 91], [22, 59], [37, 75], [74, 130], [8, 66], [10, 57], [64, 124], [5, 45], [23, 81], [13, 72], [20, 63], [14, 63]]; loss = 0.013870 low_pass_filter = 0.300
+Epoch 0: | | 14219/? [2:29:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 14220; scene = ['5f6b16b0e97a3062', '5054e805903470cd', 'e87019343627db3e', '76754b00fc4f05cb', '684090b9114f3aa1', 'e1dd6457f3165b1f', '6646ff0217496aff', '4937d2e5a298d69f', 'cff943ff40169064', '1241bcb5732a9502', 'd8a3b176b0529293', '640df76ceeee5757', '64619aa7bd88899d', 'ad4e193f353a8711', 'b6aeac1bddf8da07', 'b544fabd9660c1c4']; context = [[1, 54], [52, 105], [79, 123], [100, 165], [7, 56], [25, 80], [27, 89], [22, 69], [17, 56], [7, 62], [88, 131], [7, 55], [43, 81], [0, 37], [19, 69], [6, 63]]; loss = 0.013483 low_pass_filter = 0.300
+Epoch 0: | | 14229/? [2:29:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 14230; scene = ['0677dd32bb63e07a', '3ecc9dbeec2451f0', '4e4314a00227ed83', '83085493f4bc18d2', 'f9819d0fa6976ef4', 'e7bc75049b58cf7f', 'ea4e8db997cafe5d', 'a8c23400a2bf1eb5', 'b7f11264f90f9fdf', '97c0e17033d685ba', 'a6d8c29cc124ba06', 'a3c290d59ba3d57e', 'c1067c28947eb908', '227bf499869cf372', '8e20ab013d98087e', '0065a058603dfca4']; context = [[14, 57], [11, 56], [15, 57], [169, 232], [23, 62], [3, 66], [16, 64], [14, 74], [2, 41], [57, 95], [1, 67], [33, 92], [33, 87], [30, 74], [118, 178], [79, 117]]; loss = 0.016243 low_pass_filter = 0.300
+Epoch 0: | | 14239/? [2:29:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 14240; scene = ['222c009673896d82', '555f1845dcb38293', 'f95facdccf8cb319', 'fc18f51cf62b7fe1', 'd24023f4b892279c', '746a2e815cddd8ab', '83d154863471b87c', 'a2ec0615e2fb379c', '8cacc3596b722653', 'da794864ac5ff11d', '769783c83e98144d', '028c6f1113a68969', '6f82fc8f2c6cf936', 'a06c5145c9419ec7', '33fce97957833b09', '7b6eabbbf765f5d2']; context = [[107, 162], [16, 69], [97, 162], [0, 42], [22, 72], [153, 197], [130, 181], [64, 112], [0, 45], [9, 72], [37, 77], [4, 48], [6, 67], [200, 238], [23, 60], [27, 70]]; loss = 0.014654 low_pass_filter = 0.300
+Epoch 0: | | 14249/? [2:29:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 14250; scene = ['b4b4807fc6898e5e', '1d5d2ff5c922e173', '70b0c6943b3115ac', '6b80686260e18b3c', 'f3fa1b0410bbc27d', '99288147cbb3179f', '11ac1c29846c8b02', '1d70b5a526ba3459', '8f4562de3344b971', '50b60190fdc35512', '7b1acd8b44eecea2', '22c21bc532c93ede', '8e9215441317a670', 'd4a43140ef5899fd', '1d6990e569725b6e', 'accbf67c9f56fdd8']; context = [[37, 98], [27, 78], [6, 65], [5, 53], [4, 48], [16, 53], [35, 99], [52, 115], [65, 103], [160, 205], [2, 42], [12, 66], [6, 70], [16, 69], [89, 126], [29, 89]]; loss = 0.015442 low_pass_filter = 0.300
+Epoch 0: | | 14259/? [2:29:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 14260; scene = ['e1389d013972ecd6', '23f3accd6282355b', '4153663dbfb467e1', '21602f384d5d283a', '9085c52e38d14e3f', '92f50755932da2b0', 'b5a56cce71ad54cc', 'c5a63009393146ff', '1bac2ebe0be9b878', '2de3a30cb53411e8', '3122c77bafab0f7b', '350fe8f717dc48e5', '10d80c7e20fb5944', '46f7affec5786351', '25983d374aa28c4a', '9bb61a9d88d791f9']; context = [[4, 60], [70, 123], [40, 93], [20, 58], [7, 59], [44, 90], [198, 255], [19, 62], [2, 42], [6, 55], [93, 137], [6, 70], [68, 118], [183, 229], [125, 187], [137, 182]]; loss = 0.014144 low_pass_filter = 0.300
+Epoch 0: | | 14269/? [2:29:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 14270; scene = ['9e88bf87287fd8fe', '6546295c3cec469a', 'd7e2a0e5718dc803', 'd56e9c764f637e1c', '9e302a18a294b945', 'db1723893a3a6277', 'b3232677872b2974', 'b3edac66be582f84', '2f27acaf69f3c7a7', '77cf345e3fadab72', '5ce2bba6439e8b09', 'a548a64351982b0e', '35a97ea535944eac', '272f6e764e09c05f', '5c09e40e2bd203e7', '3aaccacf4e52c225']; context = [[35, 90], [170, 219], [135, 172], [11, 53], [28, 93], [2, 39], [0, 66], [10, 47], [22, 68], [8, 61], [13, 57], [20, 69], [107, 168], [232, 270], [25, 82], [9, 54]]; loss = 0.017456 low_pass_filter = 0.300
+Epoch 0: | | 14279/? [2:30:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 14280; scene = ['ff0fdcef9ed61fe8', 'b3ae46c3cc599471', '081b5e17550df8d9', 'a28d65a18a216b81', 'c423a26b282eea40', '35a2c80839ed1a83', '8889a2be8a61f78f', '8ca0beb765f623a1', '66b341864188182e', '84c0a472c03a9f97', 'e0922bb28274f223', 'a11a6794ec0ca556', '2fd0913e6db5e6a6', '91641027c5a42937', '00f0764e16d6b22f', 'be744a8b88c60270']; context = [[7, 48], [16, 61], [66, 110], [20, 80], [1, 41], [2, 39], [90, 148], [2, 58], [20, 81], [10, 69], [64, 114], [3, 61], [33, 79], [1, 57], [30, 90], [58, 111]]; loss = 0.012648 low_pass_filter = 0.300
+Epoch 0: | | 14289/? [2:30:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 14290; scene = ['5b5997d5f0ce5d59', '313c38700fc2d235', '7860f8fb501c44e5', 'd35d3ab840625cc4', 'b1f38f69a943349b', 'eb1a898f646101ef', '0b4b937b1199330c', '5da9b4cce553a6bb', '4fb170171642a5f1', '622f5f93cf28478a', '315ad6581990df7e', '80f81a92601ecc6e', 'd0662223d8d2ee98', '9453490533966a62', '57d4abf8cf39f419', 'ed12e5748cb46dce']; context = [[81, 126], [4, 69], [45, 86], [10, 71], [6, 46], [0, 40], [54, 91], [18, 74], [20, 71], [0, 44], [88, 140], [113, 175], [58, 118], [38, 97], [22, 74], [176, 215]]; loss = 0.012969 low_pass_filter = 0.300
+Epoch 0: | | 14299/? [2:30:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 14300; scene = ['d9e9cd2134b9d66a', '0f54778155d5fb15', '1c9d377f12e3bf79', '4f7e0130b1068114', 'dd64afc2f397641c', '145da22a89e0ae0f', '0f6c5c6a7157b7f6', 'c379d1f2aa883b74', 'e65224a75999d5b1', '7b87f392edb96ad1', '9f8ece2ca66329ed', 'cac7c2e7183f7004', '2bf0ef87be3c8f31', 'ce2f35723c7978c0', '314c16c63fcaeb19', 'dc10b2286a055d24']; context = [[17, 77], [21, 68], [6, 47], [28, 67], [156, 210], [123, 182], [86, 144], [52, 92], [179, 219], [2, 67], [99, 141], [42, 83], [174, 228], [32, 98], [13, 74], [95, 150]]; loss = 0.015374 low_pass_filter = 0.300
+Epoch 0: | | 14309/? [2:30:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 14310; scene = ['1d73a12a3a006b03', '2034845e359abfe6', '47f0dfb0693f6c43', '43c7b433a726321b', '3757462619d15dec', '06efe0146b2e5aa2', 'e2e07c398e470614', '0dafe350e2f5aa02', 'f0e9e439d773ffe0', '1c40367f8f64b13b', '703d8f552e7332bb', 'd6bd2d707ffadb41', '683391876d0f8c91', 'd54fb2208e66c080', 'd00df5ef865937ac', '63281eb1df46be25']; context = [[75, 116], [3, 56], [55, 98], [137, 194], [97, 150], [94, 136], [29, 70], [31, 91], [6, 63], [70, 112], [4, 55], [20, 73], [28, 86], [11, 68], [105, 148], [28, 69]]; loss = 0.013805 low_pass_filter = 0.300
+Epoch 0: | | 14319/? [2:30:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 14320; scene = ['5f0601007c180e69', '1bb131cb68bb3060', '665c734dedef60ee', '7c70fa6ac7c7e2f0', '4d5fe5ad660cee05', 'f953c1d204bd8b12', '653bb70e9b1ee3c8', 'cb0ed625413a2cc6', '41ff70cc3fc8a332', '53cf0ccf9f3cd287', '04ee6d9daa244889', 'ebf2ad60f1f00ee7', '4d03b4a228109602', '03a4047c49065b31', 'd63160ea8db69f94', '0691f3bd7ba0973d']; context = [[29, 73], [33, 71], [64, 110], [10, 69], [164, 215], [150, 199], [66, 127], [36, 94], [12, 68], [12, 62], [24, 67], [26, 77], [2, 39], [30, 96], [29, 93], [11, 76]]; loss = 0.016702 low_pass_filter = 0.300
+Epoch 0: | | 14329/? [2:30:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 14330; scene = ['29f6f41182191486', '49dfcdea956c0fba', 'afad90a8ee12661e', '8bf01fa3d703d54e', '852f866007866388', '158c7dda2cf0765a', 'ef9f95673c607cfc', 'a950d4448837f574', 'd5071670e0c38441', '9c6f712cead21584', '5db1f93559662c33', '1c966db883c0b9f6', 'c2c37a6bf0a12e0b', '142af18c2b5f0145', '2fba87e1bac516f6', '9c3c4c6033f2b670']; context = [[52, 96], [19, 77], [36, 97], [55, 97], [68, 110], [49, 106], [112, 169], [1, 43], [101, 151], [42, 97], [31, 96], [35, 91], [102, 161], [112, 161], [4, 53], [14, 53]]; loss = 0.011985 low_pass_filter = 0.300
+Epoch 0: | | 14339/? [2:30:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 14340; scene = ['c1575fdf39330878', '8ead427494d4082a', 'cd2529997d3ef9fa', '7f42a24413a95630', '3a09888e3ad10f3f', '238a28384742ad6c', '27943152644d42c2', 'd75bc06e3fc14333', '5817b7ccc056f135', 'e0ca058fbb73495e', '9b6abb583f61a99b', 'f51bd3c5d50335b9', '80df049a2df21988', '1c0afb164be04052', '2f799acf6bbfcf79', '7bb2a36d347cb804']; context = [[0, 63], [40, 80], [11, 48], [10, 68], [84, 145], [7, 46], [61, 127], [3, 69], [37, 76], [71, 126], [169, 217], [13, 58], [3, 68], [59, 118], [9, 49], [0, 47]]; loss = 0.013682 low_pass_filter = 0.300
+Epoch 0: | | 14349/? [2:30:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 14350; scene = ['ced9eaec2af72a37', '709fc2c17b0ea274', '031669cc955343fa', '3694c47ce6c7f243', 'f0d66da33527fd25', '00b9ce4411353d22', '8676191d9cc1582c', '9ed7375d50f00a3e', '0418bc556c8c2d2b', 'a1d036299c796886', '9f1b2faec30849ef', 'd95fb4c6a733d51e', 'c6954e6797e39fb5', '473151eff600d3bc', '357bc41b6ce661bb', 'c3e7bc3a80c717b2']; context = [[9, 47], [58, 107], [6, 64], [20, 71], [1, 58], [190, 253], [123, 168], [11, 66], [104, 150], [4, 55], [3, 59], [55, 94], [14, 66], [2, 40], [16, 61], [4, 41]]; loss = 0.013074 low_pass_filter = 0.300
+Epoch 0: | | 14359/? [2:30:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.0train step 14360; scene = ['c9690d54fb593e04', 'dc0c9d0997f82183', 'e0993a60d803bd40', '75c89a32bc3a65d0', 'a9cd1a8fc1fa2269', '0751a2dae2b35dcd', '5c0e2a1f0ca1a894', 'f85921f42c5d98d7', 'c84e27d5b0f1ff5f', '54624893b70e1382', '074c0f7c29102631', 'f2134ccc384206bb', '214dd38c347781d0', '7cb3ac5bf99e9792', '38dbc4ae5dc1b24a', '47af32f964c81bc1']; context = [[41, 103], [152, 196], [9, 53], [98, 141], [60, 106], [46, 100], [49, 99], [10, 48], [3, 45], [32, 88], [15, 72], [190, 234], [22, 73], [0, 37], [0, 48], [19, 58]]; loss = 0.014826 low_pass_filter = 0.300
+Epoch 0: | | 14369/? [2:31:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 14370; scene = ['1cc3251f1e085d81', '25aaf991662b1392', '11c3fd0ee0ff60c2', '9a7c6f09f20079c2', '5fae3a38b69ea340', 'f8e7e4c60d55ea07', '69d6916a535a24eb', 'a8bb713dd5876fb3', '42f96a7975e871c6', 'ef0a592337c999f3', '3a9e7a5c6602e858', '589af20d18528628', 'c7215b566312abe9', '2a76acf0be4bee42', 'f1c5534a927740e6', '02dd8df555843071']; context = [[1, 61], [0, 45], [40, 89], [42, 79], [21, 69], [51, 100], [38, 92], [57, 112], [53, 102], [61, 100], [177, 232], [100, 155], [60, 97], [134, 192], [2, 68], [212, 272]]; loss = 0.017614 low_pass_filter = 0.300
+Epoch 0: | | 14379/? [2:31:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 14380; scene = ['6947c411c6295d8e', 'c371d1ab17ce1fc6', '905b1855f110a802', '94c9aa266f266590', 'fd89bf7100bbab61', '87e321f35c84dbdc', '73578fbad99d7332', '883e140a4e364095', '3fac4ee519acab64', '83ee8361a9234bf3', '099322efbdb10860', '0ca70686912ebe5d', '07407b5a06eaf52d', 'aba0cdcdab29f62a', '98d9eedc5a457ed2', '52af2157aae6b6de']; context = [[195, 250], [56, 118], [10, 68], [5, 48], [83, 140], [4, 41], [12, 64], [1, 60], [142, 188], [2, 40], [0, 58], [50, 104], [3, 56], [10, 71], [14, 75], [42, 101]]; loss = 0.014562 low_pass_filter = 0.300
+Epoch 0: | | 14389/? [2:31:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 14390; scene = ['3b671f868140da57', '166c0676a47bb041', '6260e3927b2ca5c7', '8c219866f7654022', '179597469d220854', '0dfd716fde1dd41a', '7588d7f435201409', '240a90b105da8b79', 'f8b5523fcadeddc4', 'ac495df935b4e2ed', 'd997a096b875c805', '207c2bc4b59f6f8f', '91f98f141ee8cf7f', 'e050481aaa33e29c', '58c6906b67417c32', 'c2270f17d0068cf8']; context = [[1, 39], [17, 71], [1, 60], [42, 92], [108, 170], [5, 65], [54, 114], [76, 130], [27, 68], [16, 60], [11, 57], [2, 39], [71, 115], [7, 72], [22, 81], [4, 70]]; loss = 0.013331 low_pass_filter = 0.300
+Epoch 0: | | 14399/? [2:31:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 14400; scene = ['82caadee13099282', 'd18a0d22638bfeb8', '5d730c8fcf428b87', '2a71c43c29f3060d', '1de9bea98357456a', '597649fd1b135ebd', 'f443c47d3469d49f', '7e493970d3c0f5d7', '9c9d619fc87c0650', 'abb1a998e64aeea1', '9ca69f6a964f02a4', '9d33be739ced144d', '171abcd04aba0f4a', '384827d938252ae4', 'bd918471f79c3d19', '8cb8c73ef19fd33d']; context = [[1, 62], [4, 65], [0, 37], [15, 63], [14, 68], [17, 71], [0, 45], [1, 38], [0, 37], [57, 107], [26, 88], [184, 227], [27, 82], [32, 82], [22, 64], [10, 68]]; loss = 0.016961 low_pass_filter = 0.300
+Epoch 0: | | 14409/? [2:31:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 14410; scene = ['557f8c7222f4094f', '759a98733188003f', 'd3050899f139615e', '54c42ebf9c2e8c6a', 'ee8a4c0cc4c523d2', '35f1002ddc4fbebf', '3fe4e74e7531c300', '6be96a2ce575c89a', '61b1040db43a48aa', '273fce55932d575a', '3b1fe6ab1ec38c05', 'a67229c34e33f896', 'ecac75a36d941d5e', 'a316eb155d7e477c', '241d717da4a8eb58', 'cd6999ab6b9c1038']; context = [[4, 44], [6, 58], [10, 68], [16, 60], [72, 121], [0, 58], [28, 68], [29, 76], [5, 60], [5, 67], [45, 87], [24, 79], [181, 221], [86, 123], [54, 110], [35, 74]]; loss = 0.011468 low_pass_filter = 0.300
+Epoch 0: | | 14419/? [2:31:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 14420; scene = ['c79fc1da6084f2fd', 'd9408438cb04cc3b', '09939f6760e4afa4', 'd803034b5b627abe', '47ef1b5ed7e0f8bc', '48fea7f3a73f0298', 'b92532489aea7706', '4cbc09a660b88e25', '5f414af9d6abc978', '9fe3994743e46ce7', 'a5f0144bd9a5fa8b', '8a7edd543d8e8b8e', 'd256c361e38b972a', '45fd83f6c3984135', '079196ceabe07c0d', 'fd5bc65336819ceb']; context = [[92, 146], [8, 67], [9, 71], [116, 177], [79, 140], [10, 52], [2, 41], [21, 63], [88, 144], [121, 187], [5, 48], [20, 67], [28, 80], [74, 119], [4, 57], [0, 55]]; loss = 0.012028 low_pass_filter = 0.300
+Epoch 0: | | 14429/? [2:31:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 14430; scene = ['0cf733dbbb0e017f', '693b3955c59a2c61', '48bfe6a23972602c', 'dcfb0ddcac6008e6', '9923d4ba5dd6e67c', 'c2b40188e989bab0', '8d9b9fa4b8748ccd', '6624146c64b95cb8', '3b6586c3b5c64f35', 'bb31564840f2db2f', '841c18be069dee4a', '5c5681473a27d80f', '3eceb0c08c08242b', 'e818adaa45e3d732', 'bfecac3e3bfe37c3', '58a5dc4980d05a6c']; context = [[117, 171], [21, 66], [25, 66], [2, 59], [1, 62], [174, 217], [13, 76], [12, 60], [81, 144], [7, 55], [134, 172], [25, 66], [39, 100], [12, 77], [9, 55], [21, 72]]; loss = 0.013461 low_pass_filter = 0.300
+Epoch 0: | | 14439/? [2:31:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 14440; scene = ['4d42ef3a4fa7abca', 'c276dd0bc8bfed23', '98423bd01d9b93cd', '240a93f401f2608c', 'eaea282b972b7c4d', '2f0d06790d3cea22', 'c8baf4bc37dd1252', 'eb2b6994b8429b1c', '50bfdfe67991a31a', 'ac42d6f769ae8613', 'a5cac737e0512539', 'd929ce81f1ca2991', 'd1f2bb249ffddc0f', 'b33528b5e7fb4f3a', '07bf688ff1daaffb', '30616cf542da9e8c']; context = [[12, 63], [1, 39], [36, 73], [70, 111], [2, 45], [110, 147], [137, 187], [75, 136], [54, 101], [5, 58], [20, 58], [41, 104], [29, 80], [10, 54], [48, 93], [61, 114]]; loss = 0.012310 low_pass_filter = 0.300
+Epoch 0: | | 14449/? [2:31:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 14450; scene = ['1176759f66035c99', 'd021d2c52330b391', '370dedd2f7e0c2e8', '2813a03151af5522', 'fbef1008fe8b2b9f', 'd69c456a202cda8d', 'a28eb5a631c1c957', '53710413768f125c', '06fb93939066eafb', '34dd716445bd5045', 'cb9342e0228169dc', '0940e8ba983fe8d0', '7b01d37a5700e0c0', '68528e468bf52aca', 'c5f6f1a662e28071', '27c55b5a9f12362b']; context = [[31, 81], [6, 44], [15, 57], [8, 63], [91, 135], [12, 58], [75, 123], [9, 51], [106, 155], [17, 61], [76, 141], [6, 50], [102, 156], [53, 98], [89, 146], [100, 145]]; loss = 0.016283 low_pass_filter = 0.300
+Epoch 0: | | 14459/? [2:31:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 14460; scene = ['df709a9df3c44a6f', '431adcc96d3e7f9b', '8cd0d1e0b22eb70d', '61e0721e6e6ca7c1', 'e410772c78b4a48e', '689e1c27e095d1db', 'a435fd71c02a2517', 'c072bb300376410d', '30a5363e5a799e20', 'ee847204f0e45a0c', 'e596d6f4aa35ba08', 'c93837510a7e6eca', '2792e359018c5154', '80ca8d74f4e2040e', '21a16d8faeb7671d', '6b241d02421eb171']; context = [[3, 52], [2, 52], [20, 78], [85, 126], [81, 134], [45, 106], [8, 46], [2, 47], [37, 83], [63, 108], [23, 72], [5, 43], [23, 60], [1, 60], [32, 80], [49, 113]]; loss = 0.011039 low_pass_filter = 0.300
+Epoch 0: | | 14469/? [2:32:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 14470; scene = ['d257445a5a42b9c4', '3e29b2bd42f47e28', 'b192a5f7772b70ec', 'c8a3e26221c01162', '95a6fae4dbeb6546', '5e6e341001a8b693', '0415ec2bb90458e3', 'bb8a1e105ddf619e', '52079a38d11843c2', '3647ff5e90d6af43', 'f4f0f0d4a554cfee', 'd323823a3d8dc076', '264e8509690b1ea2', 'c16752b5a01dec29', 'de2ff60e64b5c5c5', 'f0ff115bde902220']; context = [[22, 61], [50, 87], [47, 100], [38, 77], [4, 51], [132, 189], [1, 49], [12, 76], [65, 107], [21, 72], [102, 168], [23, 61], [108, 170], [84, 148], [123, 164], [39, 78]]; loss = 0.013590 low_pass_filter = 0.300
+Epoch 0: | | 14479/? [2:32:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 14480; scene = ['754cd13d07884b11', '59962733bce39722', 'af837aff6c95547d', '4d93f0c09ab52735', 'c38f82fa9aac52d8', '92d1662fccd481ac', '9a0bb3f66b9d47a3', '66673060746f55a1', 'da5f4e94eeb147a7', 'a1e80deff7341148', '8044653852bac599', 'ec5123ef6adc5ad3', '616d267c60a944e0', '6d9a32f4c23439f6', '10233258116ea89b', '074c0f7c29102631']; context = [[6, 67], [41, 105], [122, 165], [106, 172], [189, 226], [72, 113], [17, 62], [50, 93], [25, 70], [12, 76], [61, 100], [94, 135], [71, 129], [57, 102], [41, 100], [15, 80]]; loss = 0.014382 low_pass_filter = 0.300
+Epoch 0: | | 14489/? [2:32:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 14490; scene = ['7beddbbec9bd694f', '4f86ac7e62ca274d', 'cd4669d9dc27e76c', '7f4f4c36b99de675', '53ffb9c8d3fa4e6f', 'aa5c0363444a9aa9', '28d93545e3cd611f', '04d3e9038d34044c', '0cdc9f502aa44e19', '37a3d41fc23257eb', '9f9213ddabd7bac8', 'd15fc66cd14bb973', '3df78a46912f03d2', 'b7168a9c1a6ec502', '3c692507a0a83d02', 'e60726e96c92ea50']; context = [[6, 66], [159, 219], [127, 175], [20, 84], [53, 101], [199, 240], [79, 128], [1, 59], [17, 63], [0, 40], [46, 88], [181, 245], [10, 58], [3, 41], [37, 74], [0, 59]]; loss = 0.015441 low_pass_filter = 0.300
+Epoch 0: | | 14499/? [2:32:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 14500; scene = ['3530096ad3087c6c', 'cffcf3058ae6a306', 'da79f380f911ed40', 'ca08aadc5d2995bf', 'ff51e4db0843b560', '2b6422a69474cc0d', 'df99662c7979102d', '6aacec9469c96867', '90998c5f495333d2', 'a69dc45afa4b2a5c', '9f7d72807c4d4a96', '67b55b32d8ac395e', '0dfcd6c745876600', '75626e6698e74ed4', '88cf9a3fbae7b03c', '78e2b7646aae4afb']; context = [[9, 55], [42, 103], [104, 163], [10, 69], [4, 42], [56, 98], [115, 156], [4, 51], [18, 74], [0, 38], [43, 105], [7, 70], [55, 117], [93, 156], [44, 93], [37, 96]]; loss = 0.012462 low_pass_filter = 0.300
+Epoch 0: | | 14509/? [2:32:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 14510; scene = ['f7adb9b80aeb99ee', 'df3eae6c62deb55a', 'b4e22324772167c4', 'd38ceced483801a7', '76363422d829a5ea', 'af2d162db1bd5443', '25786ffb7c104704', '25f2eed8482f4efb', '0694fc542e3f6de9', '40cb2e38e23d330c', '8a74fe41cc22b9de', 'da7e6e76762d7c26', '93db1dea76cc6be7', 'd4fc984a9a2dc78b', '3b1f9bdde0850925', '39f88cbb30ad5e3f']; context = [[0, 50], [0, 51], [1, 54], [0, 54], [18, 84], [20, 83], [90, 127], [113, 154], [35, 93], [137, 182], [65, 111], [3, 46], [5, 50], [52, 117], [121, 171], [165, 216]]; loss = 0.012475 low_pass_filter = 0.300
+Epoch 0: | | 14519/? [2:32:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 14520; scene = ['307e37fdcb1d2a6f', '3f732b63cdd0729e', 'ccd62a307aefd240', '0629b234d15174f1', '1f6c1a3883b3f248', 'fa79f3c0a4bd7831', 'a258b0a7fc06973f', 'eee7f5a14669978f', 'e47e4551589a610a', '6ca3f5caacb1d6fc', 'b8544b241f453a4d', 'febedf46c67d1cb5', 'c8e5456e22ba17f7', '6213e59075c114a1', '4b102f93070a3ed6', '806744401add7548']; context = [[7, 58], [1, 41], [150, 210], [0, 37], [139, 202], [5, 63], [14, 68], [171, 225], [41, 87], [54, 96], [10, 76], [18, 59], [2, 58], [15, 52], [19, 80], [2, 47]]; loss = 0.011927 low_pass_filter = 0.300
+Epoch 0: | | 14529/? [2:32:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 14530; scene = ['3dd7802a2c93a865', 'a2a9dc0ec447f419', '2462c8cb7c8ceb8f', '3db6c0e172d18826', '9329526037966689', 'e7a04da784bddf9b', 'd15566035f9fbe7d', '075ff1aa1c151ebd', '216a66f91f256578', 'ca9d6e24ae21f2c9', 'e7df13eca6bc6264', 'ec25ff20b657f248', '9ed1d7c9ed46065c', '30b14b9792ff70b9', '1ab78e27aca2d344', '3fa7e46f69f63e82']; context = [[54, 105], [9, 74], [1, 57], [3, 46], [35, 80], [57, 122], [1, 65], [36, 78], [4, 42], [73, 114], [77, 125], [23, 77], [1, 58], [12, 71], [3, 61], [0, 64]]; loss = 0.013195 low_pass_filter = 0.300
+Epoch 0: | | 14539/? [2:32:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 14540; scene = ['263c6f3caec45900', 'c9414cea2b26c0d4', '331112aba367bf0d', '97f589998f7a56ce', '1c9daf62dfa3d5d1', 'e2b6581f1a1a2fcb', '1155d2e97e08de55', '5d707a2d57727069', 'e6fb9efae0406aca', 'ea79dc836a78061d', 'ee97af25dc219018', 'd585e74d7e2b840f', 'c29208a5f74d3649', 'e852d57c6de796cc', '525bdd8b89129054', '83f01c4310f19278']; context = [[9, 54], [166, 225], [22, 76], [72, 125], [80, 134], [53, 97], [84, 149], [44, 81], [81, 123], [9, 69], [109, 157], [3, 69], [22, 59], [30, 87], [5, 43], [28, 79]]; loss = 0.015999 low_pass_filter = 0.300
+Epoch 0: | | 14549/? [2:32:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 14550; scene = ['1e39c8f4227974ff', 'a61585eb9e5cae15', '0947cd60364c7a00', 'f91bb3b27b67a83a', 'fb0b73b80cf8c027', '60be15a3ad83648a', '022c8b3bf09953d5', '38f6b2d7b3929a61', '4671540a86c8b051', 'd54be14960a96623', '175a499efb67c13c', 'a1ceea81e1cc2dcc', '1df4c50a6d867f43', '4b5cef82fea77be2', 'b495ca300c80da14', '76ef43c1ccfc8990']; context = [[36, 86], [49, 91], [0, 48], [58, 106], [6, 43], [18, 57], [8, 68], [2, 64], [83, 126], [15, 58], [10, 70], [125, 185], [0, 63], [51, 93], [46, 107], [32, 90]]; loss = 0.015409 low_pass_filter = 0.300
+Epoch 0: | | 14559/? [2:32:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 14560; scene = ['37a6668e37b81707', '105e6a039d9e486b', '34b49975160a39c4', 'b6ba0fe84eda0476', 'b5404b10b83a1ee2', '411cd9753a82d34c', 'c87287e3e0175d9f', 'ed1c8a74fbfc95f9', '45a8384ceac2792e', '18d6c850158b4165', 'b2357ef2ca896bf7', '74376eb028a5ffb4', '45c8ebb934f7442e', 'c66f724401775077', '4c7267e52f7f2368', '489ad5384385cba6']; context = [[4, 65], [44, 89], [5, 51], [13, 61], [53, 107], [204, 242], [97, 159], [25, 74], [5, 43], [55, 113], [97, 143], [39, 104], [4, 47], [135, 201], [55, 93], [2, 51]]; loss = 0.014416 low_pass_filter = 0.300
+Epoch 0: | | 14569/? [2:33:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 14570; scene = ['735fcaf54d862f4a', '806a555f5662a925', '13c4bd0174999ce5', 'b03d89cc131c1190', '4aafadcab6b1a13b', '1e8e5907c1591237', '4e50c1473d01094b', '461da10f92abba44', 'a4f894e424a732ef', 'a8db915ffa216faa', '7381859e0402b9c3', '60e8f97b17c76a05', 'cba20e571fef9f10', '74c9f05f838fafca', '22f63765570b2ff2', '0051dfdcdc3050dc']; context = [[10, 75], [54, 117], [53, 115], [12, 52], [22, 73], [93, 149], [73, 110], [59, 101], [0, 41], [32, 96], [13, 53], [23, 65], [26, 75], [1, 60], [27, 83], [6, 65]]; loss = 0.010263 low_pass_filter = 0.300
+Epoch 0: | | 14579/? [2:33:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 14580; scene = ['81af71c11f6b155f', 'aed7bbebb70df340', '3a19beaf455fa3c8', '8ce821da54a25970', '1f28f66d80d8a799', 'a9be4205ae4d9eaa', '88f77031423782db', 'd8c9791047fd811a', 'bbf7579a8ad34b08', 'ef9ba01f86a61bde', 'b5eaad4a2942352e', '1df7cb67d58368d8', '2b02c34b93fd12f3', '47c47827a6817e54', '688c561946e62365', '1d9c229b23c647b2']; context = [[39, 88], [12, 62], [0, 42], [34, 99], [5, 71], [49, 115], [12, 51], [0, 42], [15, 79], [33, 73], [1, 45], [14, 68], [187, 246], [1, 44], [46, 97], [219, 265]]; loss = 0.010720 low_pass_filter = 0.300
+Epoch 0: | | 14589/? [2:33:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 14590; scene = ['47d9f6977b05f18d', 'ffaf31567af2b895', '24d4b58914a78163', 'e41915761acdb093', 'aeee3481d2a8806e', '8b598829b949bb07', '12bc55088cf2ce58', 'bb5cc95dd4cf749c', '3b4e220f6d18d61b', '59d9825387580cd3', '911a6a269ecf479a', '4df0865965b5d216', 'c8e5656820b23246', '47739a4198e8ecda', '82cded2e533c1edf', 'ba2f547ff823f99a']; context = [[113, 169], [230, 269], [23, 60], [80, 122], [2, 49], [105, 154], [13, 51], [6, 46], [3, 50], [7, 63], [1, 61], [18, 77], [9, 47], [5, 57], [92, 130], [21, 69]]; loss = 0.010538 low_pass_filter = 0.300
+Epoch 0: | | 14599/? [2:33:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 14600; scene = ['53cc747509e2f200', '3b4b1d5ee7906190', 'c866a19a9fccecab', '20b4b6a7952664bc', 'a2cda468c73da522', 'd476c3769bafe26d', '72cb2b9947715c64', 'ea5c3ee26d2e6c1c', '1d7d2fe2127c942e', 'dc3562fd7c1c96ae', '6950df4de10a30bb', '5e4cc2cbf7f299a0', '08debd65e8d0a630', '86f3ce33ff71c4ed', 'f46aaa2eb374f948', '78577d25e063198c']; context = [[162, 225], [8, 45], [26, 86], [0, 38], [35, 80], [50, 93], [19, 70], [91, 136], [143, 192], [30, 70], [4, 43], [22, 87], [83, 136], [0, 58], [31, 68], [1, 45]]; loss = 0.011716 low_pass_filter = 0.300
+Epoch 0: | | 14609/? [2:33:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 14610; scene = ['796ff6ded9b7805e', '02a0d88ab226852a', '79c41801a595cd0d', '4ac950133d60d999', '07deda7ba41cbd0f', '9921d0170bc42477', 'a0ba85aa47c9baff', 'da3f0cd399134ee1', 'c63f34f53f21597a', '884b01a2969cafb5', 'a59b07b2e0344c99', '9dd1359a7d89a969', '1205a9b2dd994131', '2e1b06354f9b419a', 'b1f2770cdde2741c', 'adeef95440e067f7']; context = [[3, 51], [21, 76], [6, 52], [0, 51], [115, 182], [140, 204], [3, 44], [2, 59], [17, 56], [8, 73], [171, 216], [5, 45], [52, 114], [35, 79], [6, 61], [36, 80]]; loss = 0.014958 low_pass_filter = 0.300
+Epoch 0: | | 14619/? [2:33:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 14620; scene = ['46b507d43623b833', 'd5b138f5c90dd265', '773467e0c2dadcc5', '06a978db0d334b56', '2711c36a3be442f6', '5e01f439da0de4cf', 'f8ad06eeaccd37eb', 'c068006a34482758', '6d7a3ab8144faa43', '3a4bd5f5aa8919a3', 'd36abc3bb2e099f2', '088a3f79c608abd4', '5b05ab7a497e95cb', 'dad8b744cd8e2d6d', 'b2c9cee716864312', '99165d98e0be439a']; context = [[3, 63], [42, 85], [48, 111], [16, 53], [23, 87], [2, 42], [116, 157], [21, 88], [177, 235], [51, 115], [11, 51], [78, 124], [3, 53], [15, 62], [10, 52], [1, 62]]; loss = 0.014895 low_pass_filter = 0.300
+Epoch 0: | | 14629/? [2:33:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 14630; scene = ['54acac64824de66c', 'a16edc1c8e94918c', '0b963fdcecb63487', 'e5bc10fc377c52e5', '81e928bad764a5aa', 'bbf7ebb5b844c6b8', '3bd7a1c47b1b1643', 'd8a7542a8fa1663e', 'da362f7f12153eb4', '67cf459986d45ea4', 'bc8622b3fb602185', '3db875cdaf4aa738', 'dbc26a0b15244145', 'bf7d0e70e720ea12', 'dbc16c7274385757', '4375d4fb9e407419']; context = [[0, 55], [7, 45], [64, 114], [5, 63], [51, 115], [6, 71], [12, 72], [3, 66], [25, 83], [49, 90], [50, 104], [27, 83], [3, 51], [9, 54], [13, 61], [57, 99]]; loss = 0.012530 low_pass_filter = 0.300
+Epoch 0: | | 14639/? [2:33:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 14640; scene = ['2669ec280a58317e', '5c83dfc8f9ab44fa', 'ab2680bf91942e23', 'd70ca840b3c5aec9', '46eccfae1e09e577', '759e3ce6b1697e24', 'eea357830462376e', 'dc687c6a52dcaa7d', '4a8762d88f3bf6c1', 'a3f4af0fb099f284', 'c6b42d6e8cebec2f', '1e7c432d2207b6f2', '024a0070a97b88f1', 'c03bb717234e2031', '08c26703c4987851', '1ed3d0dda9649020']; context = [[12, 70], [55, 107], [19, 60], [77, 133], [10, 75], [120, 162], [33, 92], [3, 44], [51, 106], [3, 67], [114, 161], [202, 262], [148, 186], [28, 79], [79, 126], [212, 256]]; loss = 0.013780 low_pass_filter = 0.300
+Epoch 0: | | 14649/? [2:33:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 14650; scene = ['afd94179af2601ae', 'c52e30b8171152ef', 'aaf0ac102e62c741', '6ea42f6015d5bbd7', '41a676ccb691f2a4', '597acea857964d4b', '2a4efe13f4315919', '755c6d3d363bce74', 'd8fd4ce1b98044e1', '6efc0d14af98f481', '04c1dc8767f8f0bd', 'a68d6aa424c2dff9', '7ed8377174386a87', 'a30fa949e09b91cb', 'fc86d4f8f547a669', 'e4dbb834f3ea2b7d']; context = [[20, 74], [37, 90], [15, 74], [0, 38], [13, 53], [192, 248], [2, 45], [1, 48], [15, 54], [34, 86], [43, 94], [68, 112], [25, 63], [65, 114], [131, 173], [123, 177]]; loss = 0.015966 low_pass_filter = 0.300
+Epoch 0: | | 14659/? [2:34:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 14660; scene = ['ea39ad8b69cc5787', '80e9bca97676a7ed', '2e441fa2f9846685', '3eb6b3f90098d44e', '47e15ca04ec95d65', 'ae58510a79871955', '618c5651f735369b', '592ade6974acfdb8', '3dab79d6331a4331', '088aa8c10c5fd80e', '51c7623c73daaef4', 'd31e6aa8b1e23cf1', 'e758c80eeb625520', '96292e5e47cc9fc1', '29327cb2e7a4f3af', 'd340521843cbbd83']; context = [[40, 80], [0, 39], [26, 72], [35, 99], [133, 173], [189, 253], [2, 48], [1, 39], [13, 73], [2, 46], [156, 207], [15, 77], [162, 229], [116, 163], [163, 206], [6, 65]]; loss = 0.014920 low_pass_filter = 0.300
+Epoch 0: | | 14669/? [2:34:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 14670; scene = ['fa4316f495944216', '8822bda998ebebf9', '85e3d37d8d19004b', '63e0f8eb0bc7a74d', '75863b2203d61a51', 'b5e621584bcb03f2', '09dc6ab625b8300e', 'b94a189b3b04d1d9', '2d410cc9d20b6526', '5502f11f9b3165ae', '306235ebe8d8ace2', '1a72762814407117', '873c3591f993adff', '179fbbbcc3e6e195', '57a522ee28c2896f', '9869d33078eac049']; context = [[1, 44], [17, 79], [2, 55], [94, 142], [71, 130], [171, 210], [134, 181], [14, 68], [132, 195], [28, 72], [4, 42], [37, 99], [24, 66], [27, 80], [79, 127], [121, 184]]; loss = 0.015184 low_pass_filter = 0.300
+Epoch 0: | | 14679/? [2:34:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 14680; scene = ['3ba287815c2fa8bd', '90e70b66a637f14d', '8c42a0b02e4b80e7', '5205c4ab691fab79', '90b3a044d5c4522e', '61fbb526c33626fc', '643a17e2e87792a1', '979583f22bb73aef', '4d9de907289bb1b6', '7145f0cd808fb217', '556ce3a3902f4695', 'b1d41b0a47dc80f1', '14456e50bb058688', '39ef35a4a47926da', '82b3cd7d732bb3a1', '3613fe0e8890ef26']; context = [[19, 67], [71, 110], [151, 207], [136, 189], [43, 107], [9, 58], [16, 78], [152, 200], [2, 48], [36, 97], [10, 69], [38, 85], [15, 64], [62, 108], [5, 56], [80, 122]]; loss = 0.012807 low_pass_filter = 0.300
+Epoch 0: | | 14689/? [2:34:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 14690; scene = ['95f322f0bccbfd0d', '0dd87bbf50036ced', 'bf170cc6e7f5011b', 'c749bb7b80066e93', '308e91855be81574', 'ddf12051e7f662c6', '8f2dbac708da0c44', '1d5a30bb1267f67b', '437215dbbb21544e', 'eb0ad402ba6f499c', 'ef05d8c3781ff579', '5db087f55931870a', 'dc044b71b712f904', '94304e7878021cde', '4180411482979dcb', '79afe1c4794f8fa1']; context = [[2, 68], [25, 78], [57, 122], [30, 73], [2, 42], [57, 109], [133, 200], [166, 227], [12, 53], [16, 69], [61, 113], [19, 60], [96, 138], [66, 121], [4, 61], [7, 47]]; loss = 0.015036 low_pass_filter = 0.300
+Epoch 0: | | 14699/? [2:34:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 14700; scene = ['978d853d57c2f68a', '2e40ec3daa844279', 'abd3cabe7a8ce1b3', '91374736b0e8c0c4', 'd719095ac6054c66', '01df3fff1e49799c', 'cf55e72770ea7333', '06a1855c7d51b945', '84f05a289c1da64e', 'ff5a03ef6c90f076', '41c4920e80cd6202', 'b3eae3654711ec2a', '9aa26b4c55199dd4', 'a43b9457d170e02b', 'b88cd7334f85569a', '8e52fac3c6d4e1a2']; context = [[1, 61], [46, 102], [44, 89], [144, 199], [29, 72], [27, 69], [83, 128], [3, 65], [12, 62], [28, 87], [2, 45], [6, 56], [14, 76], [9, 61], [67, 118], [76, 123]]; loss = 0.017205 low_pass_filter = 0.300
+Epoch 0: | | 14709/? [2:34:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 14710; scene = ['94f9ffd4073cbe5c', '9da383f361f3b1b9', 'b442e46622525cb9', '84efe2a29ea1c8e6', '8471bfc93e219d59', '74100e9fd6373f84', '4d72f2752f9a8439', '4ded834533bbead0', '0d39f26bcf32c8a5', '626634d7c85c3909', '969c91a2507e2d81', 'f9ee4b8ed48bd9f3', 'e36559fcd2232e9a', '24add6cb04d4d532', '118e9c23dfbb31c3', '3ecaaa549fe1e67c']; context = [[8, 69], [1, 57], [11, 74], [8, 46], [8, 54], [208, 247], [4, 50], [188, 228], [208, 255], [3, 47], [14, 58], [34, 83], [14, 75], [48, 104], [3, 62], [60, 114]]; loss = 0.014905 low_pass_filter = 0.300
+Epoch 0: | | 14719/? [2:34:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 14720; scene = ['df3d9e0d9c57b60e', '27c1a03e4474dec9', 'b72e9f8ef1767537', 'baf711049daa6d83', 'b536b0e6d426b566', '4f35c00df91f0fc1', '8c8d275be1d9c9c1', 'e9fa2875aefdb532', 'ce61ccc4d291fb9b', 'e1d621f68b89f987', '0d71795b5a29c8e3', 'e5b3c987f0c0c044', 'c49c716e0257136d', '426dd580102633b2', '342cf894bcd94642', '439f12d7997f3297']; context = [[1, 57], [179, 220], [16, 78], [32, 73], [1, 45], [23, 79], [30, 88], [76, 138], [9, 49], [1, 39], [9, 76], [25, 90], [1, 57], [209, 249], [35, 73], [116, 156]]; loss = 0.011930 low_pass_filter = 0.300
+Epoch 0: | | 14729/? [2:34:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 14730; scene = ['31d2bac3cf84f232', '381fe9c18a25d741', 'fdd0f62113d4f4ad', '1eba1805fa0eba9b', 'a0481c0069aac78e', '357900486cef1639', '6cce9c57b5aa5336', '49b292bd243d56ac', '00b52b21e0d54a42', 'e1a229bb4540eeb0', 'fce1137a35c75426', '7fc05882bd1f775b', 'c9690d54fb593e04', 'dc0c9d0997f82183', '6a5ba78f4d0bc69c', 'bc20a805c32503b4']; context = [[21, 77], [150, 208], [14, 58], [1, 53], [56, 120], [73, 121], [7, 47], [1, 46], [14, 61], [6, 66], [33, 90], [56, 106], [82, 141], [17, 81], [126, 186], [16, 59]]; loss = 0.014980 low_pass_filter = 0.300
+Epoch 0: | | 14739/? [2:34:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 14740; scene = ['491d332fba39e8e8', 'c2df147f839336b2', '59ebce57c53ebc37', '9b70ba2ecef9d91d', 'e72d14392e5d51b2', '72077f7ff39fc73e', '3a5dec27496963c2', '571bc82e203d6e84', '007802ba570b907f', '8b6d44aedbc03a43', 'e51be7bc34a98b1d', 'ce0d81a8826d6ca7', '35f3f48e1d677084', 'eb01f26d78c872fa', 'd031830571adc350', '1ee8194ce6a0bbf1']; context = [[32, 78], [57, 116], [36, 87], [12, 50], [117, 182], [4, 71], [128, 177], [51, 92], [47, 87], [70, 108], [51, 91], [35, 79], [88, 139], [55, 111], [188, 244], [1, 40]]; loss = 0.013279 low_pass_filter = 0.300
+Epoch 0: | | 14749/? [2:34:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 14750; scene = ['17c9cc2fb1552fb5', 'eb3c76dbf61c9bab', 'c056a5c22c0bb6e6', 'dae04afb306d0d91', 'b996287cfb9598a8', '3507303b73e6bb89', 'b4d593fa0dc9c225', '2d8b785151360d84', 'b2c8cf3f01c1260f', 'f7304c97d6479afc', '1bc9fbdf65172450', '025e2281869d6d5e', 'e7bad6bb6fd324de', '8ec88b1dcf6d4c3d', 'a00336fee4986bba', 'f0901995101147b6']; context = [[12, 64], [42, 85], [29, 78], [0, 44], [17, 77], [9, 52], [21, 84], [9, 67], [61, 111], [79, 136], [66, 127], [32, 96], [0, 38], [27, 91], [35, 73], [6, 44]]; loss = 0.013311 low_pass_filter = 0.300
+Epoch 0: | | 14759/? [2:35:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 14760; scene = ['fdd01ef3e4a926df', '4b4fbc022aa36b37', 'ff8a7fae905a057c', '46f2228076e6f3f7', '115dd7b1047fd62f', '811ed5a4410358a5', 'cab298a85c504d6f', '37c330bfb9326e05', 'e7521b22cd5de37f', '27486603b495a7bd', '39197f6d0e819f9e', '7c050554a8ec79e9', '91084cd51335fc1d', '7654d848e57551a4', '7ab3fe4ec2cc2acf', '31bfa11b146a0cc5']; context = [[62, 110], [44, 100], [11, 73], [3, 45], [209, 253], [0, 44], [39, 105], [14, 62], [200, 241], [7, 48], [2, 48], [52, 108], [164, 212], [18, 82], [34, 98], [20, 74]]; loss = 0.018742 low_pass_filter = 0.300
+Epoch 0: | | 14769/? [2:35:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 14770; scene = ['9dca670d53757444', '90378ec4423744fc', '5b60890c0841b3fc', 'b7790df1a78d2ead', '7f379c88d591153f', '56111aa185c4e651', '50ab25a0e8820982', '0c55e8670e74ed06', 'd7391eb6b5f90016', '88b8573e068f3289', 'e7399f47a86cd2f4', '3a158a1cdbddebcc', '033b9a4fb9b7c2db', '7694f69099715be2', '27b36126898f7647', 'b3c1b70f6c68629b']; context = [[6, 68], [19, 79], [1, 55], [1, 67], [129, 181], [229, 276], [0, 55], [43, 109], [22, 66], [20, 82], [137, 179], [55, 119], [56, 95], [109, 161], [65, 103], [15, 56]]; loss = 0.015251 low_pass_filter = 0.300
+Epoch 0: | | 14779/? [2:35:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 14780; scene = ['93c37a52bd208be8', 'fa0486b3246cac78', 'b1e7cbb83c7a1258', '3b1170b3725c6b04', '3ab931a89337074d', '82952283d9bb3de6', '02f82cf54ffefd78', 'd0daf2f62944dd3d', '0059ff3bc0a9b4c6', 'af5b170dd00f375d', '901f113392c1adc4', 'd3edfadeed4bf16d', 'bc81e08ee7321620', '9df6d2d5fdb17248', 'a82d926118a1ab97', 'f6dbfe4fe0048dc4']; context = [[55, 102], [25, 72], [29, 81], [51, 114], [194, 236], [43, 89], [3, 45], [9, 68], [13, 62], [86, 145], [26, 84], [47, 103], [13, 64], [51, 97], [12, 55], [50, 100]]; loss = 0.017484 low_pass_filter = 0.300
+Epoch 0: | | 14789/? [2:35:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 14790; scene = ['7dd0a2cb537a6cd1', '2075c775ac7a6381', '3446d0cf775529ca', '01b056c8e39a1662', '798e588ac5406bdb', '88fdcf43db65e667', '68fd2ff0894273ae', '8d9f8b885aaaa1eb', '851e1ef7b406a53e', '8776e4e56c4b77c2', '12dcdc7b57c5756d', '018f729568ef2c42', '9fc3c4744e0e2ed0', 'a20e3c401065b986', 'a670ce22b15e4752', 'cbc03f0f2baa6993']; context = [[35, 74], [24, 80], [34, 85], [20, 60], [120, 169], [4, 46], [34, 101], [36, 92], [38, 94], [134, 190], [181, 227], [43, 95], [5, 54], [92, 144], [209, 260], [14, 55]]; loss = 0.014547 low_pass_filter = 0.300
+Epoch 0: | | 14799/? [2:35:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 14800; scene = ['4beb0dd348a2c905', 'd48f9c9c9afcc0cb', 'cb6f76288d4df310', 'c1d04ed8f8af34b5', 'a9149e182824f66d', 'fc4b023d8244d9a6', 'b381af14be65abe2', '65eb90461a63a1b3', '8ab89c28abec88c9', '59533641941829e5', 'fd2eb22dfc973a75', 'c02e332cd10f31a9', '7e20c0ec657b9108', '04e324ecc5853826', 'ef9e0c1d4c0b2e88', '0b2967b4f7e897ec']; context = [[4, 42], [5, 57], [10, 55], [0, 40], [12, 64], [34, 86], [2, 40], [3, 60], [1, 67], [69, 129], [63, 121], [49, 109], [0, 39], [20, 63], [16, 72], [25, 86]]; loss = 0.013869 low_pass_filter = 0.300
+Epoch 0: | | 14809/? [2:35:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 14810; scene = ['70d1c55ddcd4a753', 'e2a26c414b0a6c2f', '28ca1b6ece7702b8', 'd199375842a653ec', '3aa4b919796c8489', '1de0bd69f911ee70', '3613fe0e8890ef26', 'ec8b485c95a10ee8', '14456e50bb058688', '556ce3a3902f4695', '275f7bcab3604f2a', 'b1d41b0a47dc80f1', '82b3cd7d732bb3a1', '39ef35a4a47926da', '7145f0cd808fb217', '6a1ef1f0ddb90525']; context = [[23, 85], [5, 65], [5, 49], [52, 110], [100, 144], [19, 66], [55, 116], [67, 116], [8, 58], [10, 49], [169, 216], [38, 81], [162, 223], [45, 88], [87, 131], [0, 44]]; loss = 0.013319 low_pass_filter = 0.300
+Epoch 0: | | 14819/? [2:35:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 14820; scene = ['2ab2d93f8f85cee3', 'fd7f996ea6606892', 'd2ae259bb6a6935c', '584403b16a766bc4', 'cb818807e848d9c8', '4163aae5c14c2259', '2f38640c40521949', '91f9e00c7c8f26ae', '083dd412e66fa8e1', '7eed7143b1d9bdf1', '595377a9a51559a6', '7e062d231f9f28d5', '3413fcf0a42522c5', '5ab36cfc1904db97', 'd312969570f038a7', 'db46821f946ffb61']; context = [[8, 50], [7, 64], [176, 238], [93, 136], [10, 50], [6, 63], [14, 56], [1, 68], [181, 234], [3, 66], [2, 54], [37, 98], [26, 66], [161, 222], [113, 174], [88, 139]]; loss = 0.013962 low_pass_filter = 0.300
+Epoch 0: | | 14829/? [2:35:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 14830; scene = ['27f6d11c24c5ff05', 'd57339d1dfa8156c', '8c00653c5d46ac08', '62bfd0a1ecd6a33c', '4976860ffb8e6b02', 'c7620995ebe9c4e6', 'bc3940f8920de711', 'bbef35c557166ae6', '4713a7d9d9d27843', '45799f873cc35e6f', 'fc86266e2fcb72fd', '8fe341dcd0880bd5', 'b2e8a9bd957dcd52', 'e83b355a8e28b49f', 'f50fd819e21ae7d8', 'a51524fc71a1feb8']; context = [[41, 93], [21, 63], [122, 182], [0, 53], [0, 63], [18, 72], [0, 41], [8, 48], [32, 79], [7, 47], [5, 59], [38, 105], [7, 46], [225, 276], [54, 115], [207, 254]]; loss = 0.012927 low_pass_filter = 0.300
+Epoch 0: | | 14839/? [2:35:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 14840; scene = ['2d7243929156069e', 'e2fe2ac70897e69e', 'f0dbc908f65693ae', '01c143c81a4d2145', '00703cbf7531ef11', 'c0580f743d41ee56', 'd90d5e7978792a54', '543da4cef5a596fd', '9b74cdaf0866eede', '887a074e81e590c3', '78ac0510f29dcc4f', '063cf0cd1ebf06d2', '6abe78a35109d3c1', '85dbd05a5249931d', '95702bb71674167d', '3e00e3d2ffba3e7d']; context = [[46, 94], [186, 224], [101, 143], [11, 62], [203, 251], [13, 52], [104, 159], [6, 44], [0, 39], [88, 155], [1, 41], [117, 176], [42, 99], [20, 81], [59, 116], [78, 118]]; loss = 0.013515 low_pass_filter = 0.300
+Epoch 0: | | 14849/? [2:36:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 14850; scene = ['fa28747d4afe07c1', 'e328da8e5ef0f90e', '4b36ce9b2637c7b9', '9741b236b715a59c', '48ebce4112f86ed6', 'd81d51a524b60509', '5682eadfab7a6bcd', 'f5799d1307c6c38e', '2eb8d33979d6d76b', 'aa8259399a115c5f', '6103e7020e6a45fd', 'c97fb236ee21af38', '039caa34feafb797', '5e1405bb288a9e88', 'ad64dfac891cf4df', '44c11a38822bc756']; context = [[93, 133], [132, 179], [3, 44], [115, 162], [84, 144], [128, 195], [7, 68], [0, 40], [9, 50], [4, 66], [5, 65], [10, 71], [37, 80], [43, 82], [109, 157], [136, 194]]; loss = 0.030030 low_pass_filter = 0.300
+Epoch 0: | | 14859/? [2:36:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 14860; scene = ['9e7a2c3e91fea1a5', 'a21015f3a7e16a16', 'fbe21b4757833c52', 'acf3f0b89e788b5f', 'cf6c752f6f5f28ac', '78b31552d8e87131', '5fe7c4f4a4702b92', 'cd9e17454c9fce39', '388b4a886ab03918', '1091902caff03514', 'bdc7ee8f76d41ecd', 'ead46a318c2acc92', '35f49016dbf93793', '43e02f5bd7d7fa5c', 'da6e5d698fabdccf', '409bccb490f0a094']; context = [[1, 59], [42, 80], [67, 128], [28, 95], [87, 149], [45, 109], [61, 100], [15, 79], [6, 44], [137, 187], [192, 231], [74, 139], [41, 82], [33, 77], [13, 64], [34, 75]]; loss = 0.017122 low_pass_filter = 0.300
+Epoch 0: | | 14869/? [2:36:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 14870; scene = ['8dbbda348bab6e09', 'dfb732656fe8d87d', '7bbdce5fc79889d8', '9844b1941a0a5cf1', 'c26d5d12513a89f0', '3650d51c6e815a8f', '02895e8b4e269177', '8ac9caaacee990a0', '28ce15081dcf6806', '7756f38f665b6069', '9fee922b8616f248', '3d35045d9acd8376', '5915c0e53ad8a05b', 'de4e8721dd53bcf1', '9b91b65722716f0d', 'ffec8492affc6319']; context = [[62, 128], [17, 78], [13, 55], [1, 40], [18, 72], [90, 142], [24, 82], [13, 65], [4, 47], [142, 194], [4, 50], [20, 76], [76, 116], [15, 56], [83, 140], [32, 83]]; loss = 0.014743 low_pass_filter = 0.300
+Epoch 0: | | 14879/? [2:36:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 14880; scene = ['183191ba211499fe', '969a6b7b65dd674f', 'a621cb2aed8cff41', '9e0e71a5cbd3d4d7', '83cbcd45edcf38b6', '04534da81f43a7f3', '92178de4422f01a5', '66fe1ff1ab2eb736', '0c222b2b73873e81', '079dc1188ec464f7', '7a353cd4d421d425', '86dee38a2f104083', '2cf2d2545b3f329a', 'cc2938391b3d5a80', 'c6d8b4ad1f0a29d1', '8cdf106989d7109f']; context = [[95, 161], [40, 103], [150, 197], [137, 195], [36, 99], [4, 44], [202, 245], [25, 80], [93, 149], [5, 51], [1, 40], [89, 138], [47, 99], [4, 63], [20, 62], [7, 45]]; loss = 0.011922 low_pass_filter = 0.300
+Epoch 0: | | 14889/? [2:36:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 14890; scene = ['4e63e1c5d0b9b2a1', 'ff4ecdce185778f3', 'd11eb3754e96a645', 'a735c1521fe327a1', 'ed5f4d7bd89e9901', '0ec97594c56387a2', 'ea5def9e91076788', '821aad9f30ab0965', '871ef22f5aa9b2d6', '69c9408ad6a92739', '017c0058a6c6e645', 'fefe78a1afa08739', '178f82d5c641b3c0', 'd32bcef08d398700', '4876dfaa5980ea8d', '61b37a9ddf06ebeb']; context = [[7, 69], [11, 71], [5, 66], [12, 62], [183, 247], [11, 66], [67, 111], [97, 156], [60, 104], [140, 196], [138, 196], [33, 91], [8, 73], [2, 55], [167, 231], [17, 82]]; loss = 0.012672 low_pass_filter = 0.300
+Epoch 0: | | 14899/? [2:36:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 14900; scene = ['479d632848eaed42', 'cd2d715b194b4dd7', 'dce5388c66a456c0', 'f7e40cebe23ebe80', '6566d57049fbcdc3', '4a7d66cf48def495', 'd64c791824637469', '5eb9fed9edc81943', 'f74a8f6708f52cea', '189824d71bbd3764', '4682f088198970d6', '73ab9a4614f35581', 'cc6efcc5866e4a90', '886c8489dee57871', '07fba88c60858724', 'd382ab655e3bce78']; context = [[59, 102], [24, 78], [67, 114], [25, 81], [108, 175], [120, 173], [73, 124], [58, 104], [106, 147], [214, 267], [8, 70], [1, 60], [10, 73], [22, 84], [52, 98], [9, 47]]; loss = 0.013594 low_pass_filter = 0.300
+Epoch 0: | | 14909/? [2:36:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 14910; scene = ['d4dbe237dd780660', '7a8193d4fb72424c', 'a9c2a04a2e0289de', '3fe41c4461489904', '07f00b8c0aea9746', '1adfa70ec7249546', '5a02b12decdc528a', 'd4170a3ff28c8efd', '69a87beb7f4b2215', '46cbc096a3273b53', 'a94cbd51a4f7a333', '492d58c60ff59717', 'aa20915f7a4f4154', '6aa7eac0ee8724c7', 'cbcfe6077e306bb4', 'd00afb745c603888']; context = [[64, 107], [32, 95], [4, 54], [50, 102], [3, 67], [0, 38], [21, 63], [32, 83], [28, 81], [134, 196], [60, 109], [84, 127], [63, 103], [24, 87], [0, 41], [7, 68]]; loss = 0.014782 low_pass_filter = 0.300
+Epoch 0: | | 14919/? [2:36:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 14920; scene = ['00415ec2f505e8c3', 'c223385f4ccd5220', '702b78dc2a86d3dd', 'fc5596247d4bfa18', '1fdef796118f642e', '03928badde49b7b6', '3620a7e99b83f48f', 'f417a4c162176abf', 'eb971dec77a65942', '8e275c7036a72750', '474449a5d3172644', '222b51c444cfad2d', '2f4670e943868545', '76d99fe5793755ad', 'a5f125662576269b', '0cf4667328f5b6d1']; context = [[56, 123], [35, 75], [187, 226], [91, 144], [178, 234], [29, 67], [36, 88], [56, 100], [56, 122], [102, 168], [7, 47], [0, 52], [35, 82], [11, 49], [62, 116], [169, 233]]; loss = 0.012701 low_pass_filter = 0.300
+Epoch 0: | | 14929/? [2:36:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.80, train/active_min_children_step=1.0train step 14930; scene = ['9e950a8db19553b9', '564f2112de1a31e6', '81a468d3d0771bd4', 'bff0f6c000bc59f3', '826f1e427bcb4f78', '6ede7a3926290779', 'dd1ebbbc32276ec6', '7c0fd9b8cbdcdbcc', '6c57ac55cbade318', 'd78b7ca1fc737e45', 'abda7c79ca34c2f8', '02f821d0a9cab154', '18302602f1a2d36d', '1ec41f3828e1065e', 'ff8ee30336673235', '6be9fe4a43a26b4f']; context = [[149, 215], [96, 158], [6, 73], [109, 150], [10, 70], [4, 52], [7, 57], [9, 58], [0, 57], [6, 71], [0, 68], [11, 66], [78, 116], [6, 65], [43, 109], [111, 178]]; loss = 0.012608 low_pass_filter = 0.300
+Epoch 0: | | 14939/? [2:36:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 14940; scene = ['74ad06639c7b1a50', '1a736e493911694d', '11c8947fe99c636e', '857d3057983ec0e4', 'a5abf69689e9fa5a', '4bf058f563c0a490', '6721a0a0d0714e8a', '2cb2aa9ce954a994', '856a27ea77b5fcd4', 'f7250d685b344afe', '89901ed89e088325', 'a229ba49a0c8954b', 'f97c44861fbf71e9', '295a34d006c56b8b', '96d295b8471eb1d3', '6053d23b7255d9b7']; context = [[49, 93], [92, 132], [27, 72], [20, 73], [3, 49], [28, 78], [30, 75], [11, 52], [25, 80], [123, 175], [22, 61], [176, 231], [27, 72], [4, 69], [94, 155], [38, 83]]; loss = 0.013758 low_pass_filter = 0.300
+Epoch 0: | | 14949/? [2:37:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 14950; scene = ['692226bcc0ac794a', '94909b2d4c6f7c59', '47d6678d29b5b7f1', 'e098f91830fcd07b', '54ae91584d0c5aa6', 'aab31ae8c4285ef5', '7dfc994b1602c1b1', 'af8fffe3e8a37012', '6a1ea67384a032e0', '485b767178f8d931', 'b27b5bfe5e4a5aec', '35bf2746e0a4e79e', 'a190cb946726d886', '75471527ff3b5afd', '03a91501aac2c6cd', 'a27eef8a648834bc']; context = [[46, 100], [2, 69], [84, 131], [11, 70], [19, 81], [13, 51], [3, 59], [0, 40], [80, 121], [91, 136], [6, 47], [17, 73], [101, 142], [118, 160], [3, 61], [40, 85]]; loss = 0.015947 low_pass_filter = 0.300
+Epoch 0: | | 14959/? [2:37:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 14960; scene = ['eeb46689a3c4f87c', '1175385ea6249669', '6e1937b05b55beb9', '3dab79d6331a4331', '51c7623c73daaef4', '96292e5e47cc9fc1', 'd31e6aa8b1e23cf1', '29327cb2e7a4f3af', '0576ba3a47501d8f', 'e758c80eeb625520', 'd340521843cbbd83', '088aa8c10c5fd80e', 'f5a4f4af753c40a2', '3765a1ac3cf22a76', 'e59734f315bf7d1c', 'db470af007bc7d55']; context = [[38, 100], [44, 112], [2, 61], [30, 86], [61, 126], [15, 63], [2, 69], [215, 259], [28, 80], [43, 86], [54, 96], [161, 203], [83, 151], [33, 96], [149, 188], [88, 134]]; loss = 0.012840 low_pass_filter = 0.300
+Epoch 0: | | 14969/? [2:37:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 14970; scene = ['74cd4780d17db619', 'fa392694c9efa75d', '49aead36f6176b9b', '1c827c5e0ead36e5', '4d3976b773ca97c3', '3841fc3abd900258', '9936a143ff82ae38', 'b4ecf910bc41088b', 'f79f370f6b975e6c', '87b882eb45955770', 'f40443997986b638', 'fbc37190a4daafe9', 'edc05060cfb791cd', 'e76f65b738b1ee97', '38a4917ea172fc72', 'ec2ecd21e8916d41']; context = [[3, 53], [88, 149], [24, 89], [131, 192], [157, 195], [28, 69], [202, 251], [7, 58], [26, 67], [15, 63], [33, 72], [95, 143], [12, 66], [6, 59], [5, 66], [59, 122]]; loss = 0.012303 low_pass_filter = 0.300
+Epoch 0: | | 14979/? [2:37:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 14980; scene = ['f946d94d8adc2178', '68f71fd689a626df', '2f3271a81eb248ba', 'd6056e0a258ed340', '81f3520774d1a1c6', 'bf0451e853e8d2c8', 'c76f421224ae9a43', '85024d10f37aa32d', '6f952353cb855ac6', '66f9875452b58a41', '0de5bc13e19a0586', '65410d22f0d980f7', 'fd8dec4cd31f64b8', 'a7941716579316ca', 'f8e32278bb006569', '693db81439adb0d3']; context = [[50, 118], [138, 196], [167, 206], [7, 55], [9, 49], [14, 79], [113, 175], [5, 52], [7, 50], [1, 52], [0, 41], [152, 206], [3, 43], [8, 75], [104, 150], [180, 243]]; loss = 0.015217 low_pass_filter = 0.300
+Epoch 0: | | 14989/? [2:37:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 14990; scene = ['5eff6d0d581c8fb4', '4b629acfe9213272', '90d1c056ef8e468c', '23a44214f18d3bca', '61d27dee5caee9fe', '7b73bf5021c9e64f', '41e36a28161a5541', '3b9dd52fedcd808d', '558d7cafc78e6d2f', '28719cce5938d639', '3f0c6b9395e2917e', 'a98e995b177e3c10', 'e4f7b5102c7d22a2', 'dc7fed401ab6115f', '442c414a99c4b112', '1436f83e1075a805']; context = [[85, 140], [10, 57], [4, 59], [10, 55], [58, 120], [141, 183], [92, 155], [1, 41], [13, 78], [64, 110], [51, 92], [53, 106], [3, 65], [39, 90], [155, 216], [1, 64]]; loss = 0.013422 low_pass_filter = 0.300
+Epoch 0: | | 14999/? [2:37:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 15000; scene = ['e04c8f59aa6d3c50', '32f09d12fded2a2d', '5f682ba84996ef9d', 'c61fb3734309d031', '57842a9de1745147', 'ce53ab61724efa79', '95f905878c3b0b83', '456aecc893a4653f', 'f429e6d259c28372', 'fe06a555231819c0', '6f4a43a4f3c0fb6c', '9bfb9a67d9cafdfc', '311e7ad62f542ce2', '38f2d8425c2c413b', '85f8f13158886489', '997a5f66116bddd5']; context = [[130, 175], [23, 71], [2, 48], [26, 90], [9, 57], [15, 53], [69, 119], [189, 241], [26, 81], [39, 98], [1, 50], [50, 90], [1, 40], [88, 132], [127, 171], [3, 50]]; loss = 0.014779 low_pass_filter = 0.300
+Epoch 0: | | 15000/? [2:37:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0validation step 15000; scene = ['806010700f66cae6']; context = [[107, 168]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 15009/? [2:37:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 15010; scene = ['4a16aae24ff2ec4e', 'fa1061ff29367f6b', '9a9e62d014d7ee1c', '7e39fb81346877c4', 'e2913c4dd06c4066', '56b2322682ff3abb', '02ca568f4fb100e8', 'f7fd7487bfa471fa', '7ee2d5de1dd77651', '61801b2fcfff5c6d', 'e6547fa3cabaa4a5', 'b5dd6c0b8984c3e1', '072888bb251387c5', 'ca8008cecc227f79', 'a4f8febd2dd51706', 'ede896927ea91dd6']; context = [[137, 186], [80, 120], [42, 98], [0, 64], [7, 73], [3, 50], [1, 67], [39, 96], [193, 243], [15, 65], [16, 54], [20, 82], [187, 234], [30, 96], [47, 108], [95, 159]]; loss = 0.016773 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 15019/? [2:38:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 15020; scene = ['6f31ea1e9dfcc997', 'be24fb667f3616bd', 'd1330eb904da306a', '0ada6fc4284b7559', 'bf0e2d3e9c2df580', 'fa858bff135c195b', '2d05c89759d6f1c9', '207f58822ac86628', 'ca7339faa02aadb0', '9fc7da7f2d71386d', '2e5338ad01391b6f', '6383b0ca64518455', 'a4f29e578abae21b', 'ecb3d127960785e6', 'd60dbeb3dd984e6d', 'ef37ead68f1e378e']; context = [[6, 57], [40, 102], [13, 66], [0, 58], [139, 196], [51, 95], [15, 54], [13, 64], [39, 104], [69, 115], [62, 112], [45, 94], [36, 76], [140, 196], [97, 162], [74, 113]]; loss = 0.015734 low_pass_filter = 0.300
+Epoch 0: | | 15029/? [2:38:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15030; scene = ['efcfc341dcd12a35', '8d402b322bee0fa8', 'e627744abf86f4c4', 'cf899a800d9f45d6', 'ad200a5ec6bac91d', '0847dfebcaac2e4a', '274c28b73e9d8df2', '8caf2f657e541fd0', '9e211976287db6cf', '5626acbeb0a1d0b9', '381f5d2faf3db200', '9106876aee9f602e', '4fd89da8062266df', 'cd36fefc0eb4b1f2', '511073784ec42b3c', '8bd6ffe4d866a42c']; context = [[23, 69], [5, 73], [198, 248], [55, 115], [62, 115], [31, 73], [12, 58], [68, 111], [22, 83], [1, 54], [61, 109], [33, 81], [27, 83], [55, 101], [49, 109], [52, 95]]; loss = 0.013423 low_pass_filter = 0.300
+Epoch 0: | | 15039/? [2:38:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 15040; scene = ['37cc00c2e4737bad', 'b3f2183a0220f98e', 'a806813b8428527f', '2dd4348bf334f7f7', '8e704b8171b2dd7c', '6f20647f5a7ed154', '8a1d2b081aa7649e', 'db40e459c8979778', '8ceccd568474348f', '917be2bd3c7a28d7', '4832765fde4b5c76', 'b9c0beab80c28377', 'c90a6a1367ac2983', '1629b949594b36b5', 'b285926ca059a521', '9ab83ba6f3dee716']; context = [[13, 68], [3, 71], [29, 78], [80, 140], [6, 49], [91, 136], [125, 188], [31, 88], [75, 124], [31, 92], [19, 72], [9, 59], [28, 66], [0, 59], [146, 212], [9, 73]]; loss = 0.014576 low_pass_filter = 0.300
+Epoch 0: | | 15049/? [2:38:20<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 15050; scene = ['8ee614ca77c1cbc3', '5beb85aaf29d1242', 'edf6636dfd51ba3c', '2d6dc5466ac4ed93', '84bb7ee084fb9033', '0d63737ff1f8828d', 'd937fa8f6202599e', 'fe4e50caf065e8ad', '5c68ac5923e96098', '2d2bd67c0783d214', '06a879935c2dc6b8', '9c050a0cbaf7c15c', 'f518da7a7d6bd238', 'f7f6eca1f49f8580', '19453dc7ad86af4a', 'b9e60d9c662753fd']; context = [[182, 237], [10, 54], [12, 51], [16, 69], [17, 80], [20, 67], [10, 65], [2, 66], [32, 86], [4, 65], [14, 68], [9, 53], [65, 111], [194, 257], [53, 121], [40, 95]]; loss = 0.016820 low_pass_filter = 0.300
+Epoch 0: | | 15059/? [2:38:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 15060; scene = ['972cc2a151ed4d35', 'e7071c9b8fa316b5', '9a6346447cfb89fe', 'ad5b6ce2a624c459', 'bf4ba2808af7f8bb', '95d0bc74a6cb6410', '44c0063d4088a5c8', '0504d36c2ef1519d', '238dd75b20662b2e', 'b4764c8fc2de0f78', 'f1565ae80396cf8f', '118f75d62c9a1f46', '23ac87fd90e9a51a', 'e0ee3878561a5fed', '9dff9a317da1d49d', '1781ab25cd748560']; context = [[6, 74], [184, 252], [0, 56], [9, 72], [1, 55], [90, 129], [59, 105], [22, 75], [26, 66], [101, 153], [29, 81], [35, 76], [44, 96], [7, 56], [32, 100], [49, 110]]; loss = 0.011759 low_pass_filter = 0.300
+Epoch 0: | | 15069/? [2:38:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 15070; scene = ['7227011225fab25c', '2b6046bb24a7b69a', '01884fcad97c04cb', '04291c5f206e8bf9', '3c208a2d44727959', 'fe8ae6eee5f22cb5', '1b208861319a1255', 'fe529b17be1d94ed', '56eb20b2659dac4c', '55a60a0830766221', 'd64c03184b6409aa', '4eb9c6ad16de9754', 'dc51d98d2423a44f', 'd3dd881bc68c7849', '80041600c276b736', '356aa44bcb11bfe8']; context = [[9, 50], [35, 95], [42, 109], [0, 38], [3, 57], [5, 65], [2, 46], [30, 86], [3, 59], [23, 64], [7, 45], [27, 69], [24, 81], [19, 59], [15, 74], [81, 132]]; loss = 0.011891 low_pass_filter = 0.300
+Epoch 0: | | 15079/? [2:38:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 15080; scene = ['7328a7f5360fd6bf', '0ea6cb5416dfeb41', '2246a06adeacc230', 'b2569229b71e0bf8', '0c1ac606620e5238', '940c0485e5b7b5a8', 'a516469d68eb2932', 'd807cc0cdc241ec3', 'dda981c3412b8d91', 'a8c67c7050608d71', '43ce05d6475da02d', '9d11c0c1b866f4ce', 'e1a1987653f0f30b', '71f2526fd7a38f48', 'f9a43cbfd7bbda9a', 'f026c8f1c91ab212']; context = [[32, 71], [59, 117], [11, 72], [12, 50], [214, 274], [74, 135], [9, 50], [11, 67], [39, 89], [125, 176], [50, 114], [81, 145], [1, 62], [14, 62], [85, 152], [26, 70]]; loss = 0.014099 low_pass_filter = 0.300
+Epoch 0: | | 15089/? [2:38:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 15090; scene = ['28d98116f54e98a4', '6a78abe9196beccd', '2ef54984d277464f', '8a8faaf1e167b405', '69a54df0786fadd2', '7cc92d7a16d7e677', 'b6a505a1f1341242', '7bbdce5fc79889d8', '9844b1941a0a5cf1', '7e7304071e8c46bf', '3650d51c6e815a8f', 'dfb732656fe8d87d', 'c26d5d12513a89f0', '02895e8b4e269177', 'e3e9b976a7e5fb94', 'a2097aa005e2100d']; context = [[87, 127], [33, 96], [119, 174], [9, 55], [0, 52], [14, 57], [25, 65], [13, 77], [0, 40], [27, 77], [48, 100], [3, 47], [28, 85], [35, 76], [40, 83], [0, 54]]; loss = 0.014580 low_pass_filter = 0.300
+Epoch 0: | | 15099/? [2:38:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 15100; scene = ['ce6642a1caf5f72a', 'dab75a4882cb6020', 'eed30eff53d92b9c', 'a96b7c383abb8850', 'e99547c40145a004', 'd04b9bff4d629a09', '610e4d0305c657f1', '8900ca7b5ed830be', '43a14409ee210cbb', '56de53a42f0632b2', 'a287307f826a7aee', 'ebccf736e83cc7c1', '4dde51f40224a106', 'cd4de9fb272aee44', '3fb724fdd5c59130', '8f1279b8e3870a94']; context = [[57, 108], [43, 92], [100, 147], [87, 140], [35, 78], [10, 59], [0, 55], [14, 78], [178, 216], [56, 117], [119, 170], [2, 70], [4, 72], [84, 144], [49, 94], [32, 90]]; loss = 0.017640 low_pass_filter = 0.300
+Epoch 0: | | 15109/? [2:38:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 15110; scene = ['1fc78c3676411b0e', 'efe92f77ccb0db4e', '9b93f3f8028382b6', 'b5de5071d7ea455f', '1fa3fcadeddb75cf', '1565693bd0ba197d', '3cbf6ed1fc2b49d9', 'c3ac590cf4c79c6f', '06b30bfd5d41942e', '5b66b0f0c61669e0', '8678ce25ecd260a1', 'c8ce1d1a2b2982f5', 'ea8077e91740175b', 'b6a4891a9b5b2d37', '23f3ca65d21da29e', '0068e9bba9742bde']; context = [[19, 76], [20, 73], [81, 148], [114, 152], [162, 225], [164, 224], [76, 136], [11, 77], [52, 93], [2, 70], [15, 82], [30, 81], [32, 73], [35, 93], [76, 116], [28, 78]]; loss = 0.015994 low_pass_filter = 0.300
+Epoch 0: | | 15119/? [2:39:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 15120; scene = ['473b916dad00fc45', '36759e691725ce9c', '3dcc869dac9f202f', '0c262b6bc566b453', 'd6625cb538e7f064', '5f599b35b87b30ab', 'f3663bd0444d3f5e', 'dc59328237835eb0', '34f935be25b975da', '211f815f35aa43b6', '0d6a6817255d88e1', '6b452438d08f670a', 'aa769adbc034842c', '2eeecba4ce2a1c49', '043c77a7ea5e7fda', '9f88066fc1ec3761']; context = [[32, 84], [4, 68], [167, 205], [58, 109], [1, 49], [16, 71], [14, 80], [161, 213], [113, 179], [84, 142], [42, 85], [18, 65], [14, 66], [57, 99], [26, 87], [165, 233]]; loss = 0.014217 low_pass_filter = 0.300
+Epoch 0: | | 15129/? [2:39:11<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 15130; scene = ['12bc55088cf2ce58', '8b598829b949bb07', '86dbd3d7c71e63d9', '24d4b58914a78163', 'aeee3481d2a8806e', 'f0775b5ffdfb27b5', '47d9f6977b05f18d', '782bc1eb4be1cb89', '3b4e220f6d18d61b', '14b8447b6a98961f', 'bb5cc95dd4cf749c', '31624446a32c5f1a', 'd17c0ad5517fdf22', '1cda8e238facd520', '3a74d326aea14c4e', '7a17ced438fa658b']; context = [[2, 65], [78, 120], [2, 66], [1, 63], [0, 52], [28, 89], [11, 67], [32, 80], [2, 40], [37, 77], [0, 46], [125, 180], [46, 105], [60, 106], [171, 238], [150, 209]]; loss = 0.010822 low_pass_filter = 0.300
+Epoch 0: | | 15139/? [2:39:17<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 15140; scene = ['c9e4480bbfb4e0db', 'b567b028a8f5866a', '64ee1c88aece94b9', '75f1e3480cb011a2', 'bf6ebb3bde3ab2e7', '8e9403c26cf2c248', 'dce622aca76f31fe', '3e0141cf661e700b', 'a2132eb3ce0e461e', 'c60772b5e4c787e0', '79ddb9fcd6523d4e', '0f9f0dbe244926f1', 'f1e4898999cd9c1b', '35744d288cdbb90e', '24405bbc599acf26', 'fa45ba8993573358']; context = [[190, 239], [36, 81], [57, 104], [18, 78], [6, 52], [101, 155], [24, 90], [38, 87], [20, 84], [196, 261], [116, 157], [74, 131], [0, 67], [6, 60], [0, 38], [29, 94]]; loss = 0.013328 low_pass_filter = 0.300
+Epoch 0: | | 15149/? [2:39:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15150; scene = ['2fa60d9e30ce2353', 'ed005f6bcd0140c0', '511694e860d72000', '9a6e34f13602a342', '97cd7fcb21aa841e', '768c144e245415a2', 'e0a7d183158cb1a2', 'c7ebaa45b364c9d4', '86a3db8894e7c39a', '69c37577c1aae10a', 'e4ad77a941628fea', '27790cccfba9b939', 'a8d3d0565fd4f0b0', '1c8d2d4ef5e71265', '5ba184b186b04a98', '06522455068beea6']; context = [[35, 86], [10, 61], [162, 220], [33, 77], [93, 144], [13, 76], [8, 73], [16, 83], [9, 75], [31, 78], [48, 90], [115, 181], [78, 119], [103, 154], [197, 239], [43, 85]]; loss = 0.014640 low_pass_filter = 0.300
+Epoch 0: | | 15159/? [2:39:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 15160; scene = ['86f9daf0ed9c7901', '8e60a3c602d2470f', 'cd7a7f57c55038b9', '7686c96acba0fd1d', 'd93dbd6c7758a61c', '7c9b792d56888acd', 'cfa3baf6b753c939', 'f999c476a508cb6f', 'd71f5355a475d8d6', '5e1100d15bbf3576', '3959b49f7927b8bf', '747fd9d94d0a3f5f', '9f882725c0081cc6', 'c2d9619e701a3a53', 'ed1dead6fd873d49', '4f1d842a3b3d0c2b']; context = [[37, 97], [28, 68], [10, 78], [10, 56], [32, 89], [95, 145], [53, 106], [104, 149], [25, 91], [100, 145], [44, 85], [4, 55], [29, 92], [18, 65], [35, 98], [47, 97]]; loss = 0.014013 low_pass_filter = 0.300
+Epoch 0: | | 15169/? [2:39:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15170; scene = ['20023bc0d2cd36fc', '7280451b8d7c7f9e', '66ab33a1b3e31e7c', 'ef32d6c5ae18f16e', 'dbff8fae78b2b07f', 'e7d38a7e5cb0a8c4', '3a774fead9e1acce', '454c2d4b8699258d', '9c9e982632b63f97', '618536ae5f39352b', 'f01618994261f72e', 'c86d525bc9657107', 'b5a0bcdd5a44c612', '8311d73f80c0f1d2', '6dbf248f810bcd94', '2b2c16078145683d']; context = [[114, 161], [11, 68], [38, 103], [18, 67], [31, 87], [179, 227], [17, 70], [0, 38], [2, 69], [67, 120], [19, 57], [53, 102], [215, 265], [9, 74], [52, 91], [2, 40]]; loss = 0.012551 low_pass_filter = 0.300
+Epoch 0: | | 15179/? [2:39:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 15180; scene = ['55bc5c2ac085ff36', 'd2739cd7ec4f2ac9', '3ad2b7dfad207587', 'e54340dc6d0ff20c', '775eeabe0a3a5d16', 'fba66650318c0534', 'e29aacf03cf0a476', '98a0969d2e61aabe', 'e6b9870c1dc02f8d', '868ff2e3f4d67849', '9c711cdbbcc89a33', 'cc86a5c7153ad651', 'fdeb338cf4c3ce7d', '804c8a7e019f74c9', '2535d1b64b03e1e7', '8130ec78d068528f']; context = [[6, 62], [163, 214], [20, 73], [20, 84], [68, 121], [2, 65], [51, 113], [77, 126], [9, 52], [7, 55], [0, 38], [3, 45], [2, 53], [32, 75], [23, 90], [173, 219]]; loss = 0.014619 low_pass_filter = 0.300
+Epoch 0: | | 15189/? [2:39:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 15190; scene = ['fff13f7f125a577c', '6ad8e4b9ecbdee53', '636a31235c706629', '15b71b3a4c040978', 'd3e7e152d9525908', '90f05cebbf4a88a7', '3a0a8addc38a79d7', '7ab75acf4337a003', '935397674b39b1ea', 'd2ae64cc58cd5a62', 'a06884b7875e6cdc', '8e99ada24006b593', '8ae07a41da8a7327', 'fe9c9efa162243af', 'fa4ed1deda5e2f36', '1030575ce50471e5']; context = [[29, 79], [135, 193], [57, 108], [35, 95], [46, 114], [16, 60], [100, 150], [58, 112], [19, 57], [31, 81], [50, 92], [61, 120], [15, 64], [141, 187], [41, 98], [12, 63]]; loss = 0.015360 low_pass_filter = 0.300
+Epoch 0: | | 15199/? [2:39:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 15200; scene = ['6a8fc61e13dc1a4a', 'fa05467acc6cda7f', '68b1a0f708d4bb02', 'd91d1e61f45fa172', 'c5d3a39c49e8a793', 'e7bb9d4424f4363d', '52ff08cf915f9890', '23c52859f21f94ec', 'e82f58c638cf3f5e', '05f68f205088615a', '65d52755ddf504a6', '3b5f903cdb3d9583', '1672c494acdf9a51', '67b48a8ef26faa69', '4466e384294450be', 'a9aa19912b72f767']; context = [[139, 204], [13, 64], [2, 63], [15, 64], [62, 111], [133, 177], [19, 66], [23, 90], [28, 83], [1, 60], [57, 113], [99, 163], [3, 56], [18, 64], [93, 135], [161, 202]]; loss = 0.016030 low_pass_filter = 0.300
+Epoch 0: | | 15209/? [2:40:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 15210; scene = ['ec32efaa59047947', '51542dd7e28551bf', 'ad5b6ce2a624c459', '44c0063d4088a5c8', '4d81a0166c5d3af3', '9dff9a317da1d49d', 'f1565ae80396cf8f', 'b4764c8fc2de0f78', '118f75d62c9a1f46', '23ac87fd90e9a51a', 'bf4ba2808af7f8bb', '238dd75b20662b2e', '0504d36c2ef1519d', '95d0bc74a6cb6410', '1781ab25cd748560', 'e0ee3878561a5fed']; context = [[15, 66], [48, 103], [12, 62], [167, 211], [3, 50], [37, 101], [9, 52], [2, 58], [0, 55], [159, 208], [17, 55], [89, 133], [32, 82], [86, 154], [24, 66], [7, 56]]; loss = 0.011556 low_pass_filter = 0.300
+Epoch 0: | | 15219/? [2:40:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 15220; scene = ['1ef4450999f0e6a8', '163b00dcf34c2a6e', '3ec63a7f8feaee08', 'f36581e435eb92a5', '17d0ebb4232549dd', 'a0aa55abb59b70e2', '091fdc7a25e6f6bb', 'de93573d31cff904', 'ade3f590a7be2328', '78872a6ded88d2eb', '8db13e90869643d9', '157baee638f35a22', '8e7f0e79819eb6aa', '63ba92b34d3fde69', '4f7347ee36e438dd', '34adc24af2d7960f']; context = [[6, 62], [10, 52], [178, 231], [9, 55], [31, 79], [86, 152], [56, 123], [183, 235], [71, 120], [0, 40], [41, 99], [161, 227], [4, 68], [38, 99], [204, 249], [115, 166]]; loss = 0.012544 low_pass_filter = 0.300
+Epoch 0: | | 15229/? [2:40:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 15230; scene = ['198c8bb58640bdd8', '7bef257f82af89c3', 'fedca665f193bbd5', '7f1a2e333be7f697', '9b75e834893b5e07', '084d2d0b34eb8054', '8f2c852f336bfb3d', 'e54d063b5cfe704f', 'ceef1805f7e75161', '9620b0a596971473', 'a53cae6550f95a38', 'd5960a4f8636bc77', 'b54e0e016ab54179', '054a098d517cd27e', '67237e1421a4d661', '756001ac4456cb40']; context = [[1, 63], [9, 53], [16, 73], [16, 68], [3, 41], [123, 182], [42, 95], [132, 198], [101, 166], [105, 160], [5, 55], [127, 165], [60, 123], [61, 124], [36, 100], [201, 251]]; loss = 0.013080 low_pass_filter = 0.300
+Epoch 0: | | 15239/? [2:40:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 15240; scene = ['a9bddee6b5508f7f', '4c3f441c94d63954', '386d858945eb1e3b', 'be93db481f19ff62', '1b52746e12c3a649', '3ea09d38127a3975', '4e7f5c62bb1d90b6', 'f46ab77b51367dad', '87b4113d1fb5fadc', '26ef384aa1780815', 'd5a0aa264159a278', '4bede15a09bd44bb', '514db696ec759153', 'ac2fc17a4de90b7b', 'f35c7fc7d001fc2d', 'd91dbf0156e0e69d']; context = [[195, 238], [4, 58], [170, 210], [217, 260], [4, 71], [17, 65], [15, 77], [63, 122], [12, 69], [1, 55], [20, 84], [41, 90], [8, 50], [6, 59], [1, 42], [34, 97]]; loss = 0.015871 low_pass_filter = 0.300
+Epoch 0: | | 15249/? [2:40:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 15250; scene = ['211274b1f1c0b2f1', 'e692180a42b33409', 'c89988531782b6a3', '99165d98e0be439a', '98cf344c54e5ebba', '410d8cd6f84f655e', 'b3695e4fadc9118b', '9e14e353fb17c4e1', '774b295adf0ff0cd', '93f798863c448d60', 'd6ee3ebc80a203a8', '65685e8a99b652dd', '8aa1d2417ba6be10', '313e4d9097550462', '9c16620188a3ae7f', 'c620188fceefde15']; context = [[6, 55], [48, 90], [2, 68], [0, 62], [22, 77], [8, 72], [7, 55], [21, 67], [14, 64], [67, 125], [0, 38], [77, 139], [11, 67], [72, 118], [3, 44], [16, 75]]; loss = 0.014229 low_pass_filter = 0.300
+Epoch 0: | | 15259/? [2:40:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 15260; scene = ['7edfb93cc9ec56ae', '3738641d7c38b048', '89f6084cce1f05e6', '3d13145acc97eef9', '57122ccaf5489d33', '931f33d8a5df55be', 'f273b89e74887758', '97146039047ffd37', '48421e2b66b03605', 'f35f4e214dcf6167', 'b8010d383e02444f', '04b592aaa9a9a779', 'bf02e2f3f0047779', '948978fda6851a90', 'd0742930092e8f5e', 'c9c985820d5ccef9']; context = [[17, 76], [46, 97], [79, 119], [43, 89], [24, 88], [17, 78], [4, 58], [1, 47], [0, 40], [42, 84], [19, 78], [44, 86], [36, 80], [114, 159], [144, 183], [130, 191]]; loss = 0.014166 low_pass_filter = 0.300
+Epoch 0: | | 15269/? [2:40:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 15270; scene = ['8e01aed29e61a9bf', '9701277a931a6b2e', '8b6752d01e2fcf68', '809ab856b3bb4262', '09c62d8362825d34', '3aca04bc53bfc414', '4493030f7666c7f4', '08e4f6a5098b0d3a', 'cca0064a5146d620', 'f8795dad7ddecd47', 'f63696fe0c69427b', 'c65008663a38505f', '655fb35c16c01d11', 'f582c1071a450e4c', 'd5da6f59e6e8f621', 'fb9f25bdf929f35a']; context = [[2, 52], [6, 69], [32, 82], [1, 50], [49, 96], [53, 109], [28, 87], [53, 95], [8, 53], [26, 69], [52, 107], [20, 70], [1, 51], [11, 63], [13, 56], [105, 155]]; loss = 0.014474 low_pass_filter = 0.300
+Epoch 0: | | 15279/? [2:40:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 15280; scene = ['c5eb972a77da0bdf', 'e4d1aee4602359f0', 'c6e44ba3f43d1c36', 'dafad9b775cc6482', '15746d7d3e0787f7', '7e4d53b14c895961', '5079de35fcd79b96', '86671c7af07c1160', '290cc49e093d9a76', 'fc91bb2b1617d9d9', '8b8ffe6044a00d10', 'ce288f389ead16de', '8d96391130cd846b', 'fb4a09523f758428', '69c75008d6812d8c', 'db7ab4ff7d59a066']; context = [[122, 166], [56, 114], [93, 131], [19, 73], [39, 85], [7, 72], [147, 210], [146, 199], [7, 57], [69, 109], [18, 66], [8, 67], [155, 217], [59, 123], [4, 48], [6, 56]]; loss = 0.012349 low_pass_filter = 0.300
+Epoch 0: | | 15289/? [2:40:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 15290; scene = ['73dd1b319cbbb327', 'c67db031b6f4b882', '6394771712519a66', '7e2bf2d28521435f', 'd1f20b09f928654c', 'f1f66397186ed847', 'ad419ca34e24618a', '6a088258774b28f6', '07665b37151fddbd', '55ccad91732c39f8', '6834d9ffafe06981', '666934b2753d2643', 'bb103a10641e136d', 'fb28008596273295', 'd66caf236dd06338', '52396fb2f6ac3b98']; context = [[7, 62], [0, 53], [56, 112], [166, 220], [29, 98], [69, 117], [39, 82], [6, 63], [0, 67], [32, 85], [6, 44], [23, 90], [31, 70], [8, 69], [0, 38], [162, 220]]; loss = 0.013465 low_pass_filter = 0.300
+Epoch 0: | | 15299/? [2:40:57<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 15300; scene = ['961a51efbd7514f3', '213e0d56569a80f8', 'e86a21810e9dadcb', '05f1881960c6dc0b', '10c427b32314b048', '616b7c2d27e4aa72', '8748a626e4f76c14', '7eb469a50ba1bdba', '6a88a683d5b9ab7d', '215582bd3fed4d11', 'b86901107267f588', 'b3b422d619f9acce', '99a9fd6e00e149cc', 'c5b9ceaf663fec77', '0f199a463f36d52a', 'a347f866d6bcc108']; context = [[41, 93], [8, 74], [36, 89], [29, 77], [98, 150], [7, 58], [140, 189], [16, 75], [3, 47], [131, 172], [16, 68], [8, 50], [27, 75], [2, 65], [21, 75], [1, 49]]; loss = 0.014413 low_pass_filter = 0.300
+Epoch 0: | | 15309/? [2:41:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 15310; scene = ['bb4c043078a5b91e', 'd6fc181ec9c1537f', '3f9ae08552374fb5', 'c3e773c9ea1f4727', 'a3af6cb061c06d46', '095889891b7da599', 'e54b5eec8cc47776', 'd8e5c190e8400259', '7f7a18732c429b43', '9812c88bfb1c5c5d', 'e64836b4e6c0e526', 'ac2a95b9a8ee4bb6', 'dd76269499cad639', '0301136a1b88e975', '9706ad8d3719c4bf', 'dd37eb21ca81c238']; context = [[31, 82], [78, 129], [157, 204], [3, 68], [64, 121], [9, 68], [61, 100], [7, 70], [25, 64], [113, 171], [195, 263], [6, 47], [80, 122], [46, 94], [54, 99], [31, 78]]; loss = 0.014289 low_pass_filter = 0.300
+Epoch 0: | | 15319/? [2:41:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 15320; scene = ['adf6f584f6b81a71', '03e8f213357b9616', 'e88232bf59271bc5', '0ae58df051e6e444', 'afb2780ec2449b62', 'eef16f49751028f7', 'cb721728aa3c15de', '0d9643db1fca8e9b', 'a770c86f2059dbef', '0dfbccbfd1f98e92', '08e0627969b8514a', 'b076f2a5b52d1370', '75fe4c914a4035bc', '5c49af63ed05b277', 'b7614724a495cd4b', '2843579651f9596e']; context = [[60, 103], [7, 66], [1, 44], [11, 79], [12, 72], [24, 67], [37, 84], [1, 48], [66, 111], [144, 199], [0, 64], [105, 167], [49, 87], [25, 64], [68, 109], [23, 88]]; loss = 0.014951 low_pass_filter = 0.300
+Epoch 0: | | 15329/? [2:41:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 15330; scene = ['6182ddff3059817b', '52508a22716c1b14', 'ebe99aa369e9d866', '96685d6fb541e340', '65facef68848d8f3', '56be35cfccd147b7', '53cc170afd118008', 'd85b49bb1abf682a', 'a10ab344d6b19fe7', '1603b78e8d5cb55a', '39056c1a044a93ec', 'd56ed1bd11ff55bf', 'bfcb6064b910e923', '5b38600054300759', '4bfd9ce2e7cf4105', '0d7c648be0247e1a']; context = [[11, 71], [161, 225], [19, 77], [21, 66], [27, 76], [7, 68], [27, 71], [18, 74], [162, 200], [87, 145], [110, 168], [10, 49], [30, 99], [21, 74], [168, 216], [20, 59]]; loss = 0.014845 low_pass_filter = 0.300
+Epoch 0: | | 15339/? [2:41:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 15340; scene = ['12c5cadb276b9a6d', '06866305c62c0d18', '664b592c447448de', 'e703ec24bd1415a7', '72b336ec8447b58f', '06c10cad69c00868', '39f84480b6231105', 'a51b49467cdf0daa', 'c26b11aa4b27231b', '0854759c3f66028e', '2a06d961049b4fe1', '6f8c7d10b8feadcf', 'ea05fe4dc21b53e6', 'f546d4b7f1fad4fc', '8461b621f373d04b', '083e06ea00de183b']; context = [[58, 127], [21, 86], [0, 40], [15, 65], [11, 53], [0, 41], [23, 88], [190, 230], [100, 139], [7, 61], [17, 69], [17, 67], [0, 54], [11, 73], [1, 44], [18, 86]]; loss = 0.014552 low_pass_filter = 0.300
+Epoch 0: | | 15349/? [2:41:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 15350; scene = ['d2bf6442537983a2', '4b147fb33539c4b3', 'f0f0bcc851a036ef', '42d7cffaa558535f', '668011916dfc9762', '60456fe57a0e6b46', 'c676884964f4bada', '97dd9db901df1c48', '055056efaf74b2e7', 'd6344c065176bd92', 'cfdb58b8de56baf5', '7654d6829f0a0a97', '9a35314e58d81ed6', 'b8387972602730b1', 'c75a367b86e8c891', '97e5639e5511c8bd']; context = [[32, 72], [10, 69], [30, 96], [63, 112], [2, 59], [201, 245], [97, 166], [1, 67], [3, 56], [1, 55], [5, 52], [74, 117], [24, 84], [5, 60], [13, 63], [168, 222]]; loss = 0.016686 low_pass_filter = 0.300
+Epoch 0: | | 15359/? [2:41:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 15360; scene = ['ea297d66f60d6b3f', 'c5197c6f18fcfab7', 'ec50fa67a550aa17', '053ae5f5b93b1d20', 'fb6c585450410ae0', 'd77ffc6a0bc1b514', '582179e6a58732db', '61491d87e3e6ca60', '349738c773f1af23', '7e6f9858de55db25', '15256ecdaf019629', '756001ac4456cb40', '67237e1421a4d661', '664e178e1a6e2a5a', '249e858a54d5d88a', '1acbd6dc14eb0b2c']; context = [[14, 77], [149, 204], [159, 200], [12, 54], [2, 47], [4, 43], [10, 54], [13, 72], [83, 147], [1, 65], [121, 163], [138, 185], [70, 112], [1, 63], [13, 65], [54, 99]]; loss = 0.013546 low_pass_filter = 0.300
+Epoch 0: | | 15369/? [2:41:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 15370; scene = ['0e5769089b6efd0b', '8a3e41e66e798f50', '593f6ea531f61ac6', '48ecf6d1b62d0b72', 'b3ca1d73c950e491', '220b62de47666b49', '27980cb6205aed02', '316ca606b37722e3', '25764f06dfd729b6', '1df7a99add93b272', '1ac6ab443125ad84', 'bdf6f6c0807347f4', '88920ba24ec53966', 'd1cf651349098789', 'ade2239a68449d67', 'e51b9d505cacaa3d']; context = [[34, 73], [105, 160], [92, 145], [54, 107], [108, 166], [125, 183], [175, 232], [50, 105], [16, 54], [31, 98], [16, 62], [5, 68], [16, 85], [13, 78], [25, 65], [5, 56]]; loss = 0.013686 low_pass_filter = 0.300
+Epoch 0: | | 15379/? [2:41:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 15380; scene = ['c14be0ac53622d17', '6c2112a2af8f34ca', 'fd75d50b633e27f1', '8aebff137f25796f', '0eed4548041bea8e', '8eb537dc07e5ae20', '6e10a046c2ed0765', '3d10d168cfeb54dc', 'bf8a73a9b01ba974', 'bc2844e0adbc5a7c', '6d981f9c15daf9ab', '836250796ea45b6c', 'd15f05d444df4144', '7d06460d5665698b', 'b11834a0237c89c9', '29d4647c06c7e4c3']; context = [[58, 126], [59, 109], [42, 96], [7, 55], [13, 57], [158, 225], [44, 91], [9, 65], [27, 79], [45, 102], [4, 43], [80, 137], [10, 71], [190, 246], [64, 111], [45, 90]]; loss = 0.013465 low_pass_filter = 0.300
+Epoch 0: | | 15389/? [2:41:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 15390; scene = ['f43d2bef985662ff', '058e963a20fc1e3b', 'aef0399ef65f8220', '60a97b36cd3bb5a8', 'fc7ddeeba1b5ae54', '5b458ff356ffb1a3', '59e6a4d39aff7400', '665d2d7180171385', '56dfa6b3aac18a3f', 'ecfb5f52660e0c0b', '7409fa8e94c4edb7', '4aa2c53d2ee5cd97', 'fef9f74d74bcc23d', '9116ebaa351e517c', 'e14eeb5891211f67', '7298dfa97b690dd8']; context = [[72, 120], [54, 103], [11, 53], [77, 141], [37, 76], [50, 106], [6, 70], [11, 68], [94, 147], [82, 127], [53, 118], [30, 84], [24, 64], [29, 80], [22, 91], [23, 85]]; loss = 0.016277 low_pass_filter = 0.300
+Epoch 0: | | 15399/? [2:41:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 15400; scene = ['0b2361b7ec75e234', '098ccdf6b4a2734b', 'f7ec5b2e24b7dbc8', '66dd1b648808a447', '58a2ed05f3b04dde', '91bd05615294ac34', 'ad3e7ab5747b76fb', 'b2e21dc0a2c78909', '6c450e26a09407a4', '09a0b9fe4c9b0691', '026b6ccfcd08ea80', 'd33be1bdf678f485', '8708a0e8c937038f', '097b23d5ae2aa4de', '47b3e5d4b3b534e5', '4907375e0a4de10e']; context = [[101, 155], [38, 87], [18, 60], [216, 278], [27, 86], [60, 121], [2, 49], [0, 45], [64, 120], [1, 61], [105, 157], [3, 65], [1, 42], [6, 59], [59, 119], [13, 64]]; loss = 0.013419 low_pass_filter = 0.300
+Epoch 0: | | 15409/? [2:42:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 15410; scene = ['1932b5da26849498', '4e234250febdd495', 'd1b84c199cb87a50', '156af9c6ddbe679f', '840e57a017357225', 'f493ee914a673ff5', 'cd4b6bddafd166e5', '312ed3299485b994', '35a5a1130c0e19fc', '69293f51157ba0fb', 'c56e0d67e4d6c3e1', 'a6d7ad61aadbc7f1', 'fa1e78f4c605baf6', 'dc015aae44af1ee3', '0a28e6dad8e7b89e', '449002ada2ccb247']; context = [[96, 163], [7, 47], [12, 60], [11, 66], [55, 121], [5, 59], [114, 152], [6, 56], [16, 56], [0, 40], [9, 47], [42, 97], [7, 56], [5, 68], [2, 40], [17, 72]]; loss = 0.016073 low_pass_filter = 0.300
+Epoch 0: | | 15419/? [2:42:12<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 15420; scene = ['272f59817cb4a562', '13c92fcd6e77bde9', '451456d4e8343e3b', 'addde38c57090b86', 'b999e8b53f9bda12', '75d5f44174475006', '7af98acef550bda0', 'abebefeb0c4522ad', 'a24deaa8e7512616', '1fec260d0b00a145', 'ef11eb76ba318a0f', '0c319081d6fdfa8d', 'c0f439bc475d053c', '471dbf0c87875c03', 'da4deac373a366be', '72362c36b8dd8087']; context = [[2, 64], [95, 155], [208, 246], [77, 121], [3, 56], [1, 44], [205, 259], [5, 65], [78, 120], [60, 116], [3, 44], [10, 77], [22, 80], [2, 43], [73, 120], [63, 112]]; loss = 0.014875 low_pass_filter = 0.300
+Epoch 0: | | 15429/? [2:42:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 15430; scene = ['456296e9dcbbf47a', '439ac2ad4600f6c7', 'a01f09a89dcbfa6b', 'a3c8bc1850b77e62', '16757bafff1806e2', '48e77e81f9cbdd74', '61c6745879f660e2', '49f65d2e4bd7413e', '9fa043ab659c11b3', '9954ce590cc47830', '6017ad334569af05', '67432bab2df90757', '98cdac82b2f07d33', 'c7e4bd610994ae64', '95b4213dae7cb5b1', '6d2aba5635856d3e']; context = [[133, 195], [9, 63], [27, 74], [105, 159], [53, 98], [15, 83], [190, 251], [25, 68], [3, 62], [58, 106], [44, 99], [54, 93], [7, 50], [2, 64], [77, 133], [24, 81]]; loss = 0.013539 low_pass_filter = 0.300
+Epoch 0: | | 15439/? [2:42:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15440; scene = ['7a4aa9466228e850', 'afcac5c329658e0a', '28c4be784857bea6', 'b258d567622b6b49', '56fc9a68c89746c3', '64738f5c93012be2', 'ff1c09b5820fbf47', '4367d08eaaa983f0', '5d7cf77400ec9c60', '8731e4f6291df835', '4e2925a18aea45bf', '74c756a6fadb42ca', '78fc725309439546', '9e00040e823be79b', '081d24766be8a35b', 'ca454d783ce478ff']; context = [[38, 97], [3, 71], [142, 183], [117, 158], [129, 197], [2, 40], [97, 163], [186, 232], [54, 110], [108, 156], [147, 189], [28, 96], [159, 217], [21, 75], [7, 57], [59, 126]]; loss = 0.021430 low_pass_filter = 0.300
+Epoch 0: | | 15449/? [2:42:30<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 15450; scene = ['2a7d2f896fdb247d', '095963cd5feab903', 'daa3cae6a1d4e0b7', 'deb215ac21a9a2a3', '2fdc3af5f3056212', 'eaf0dc5075d245a8', '0f3a827c368c3d17', '7cc9d8e16bd1b421', '041d84e258a9b3eb', 'd8a673d770120ab4', '45680caa99df31e5', '9dbb8f02fe1566f4', '8faa26593552e19d', '49d8a16c60a7a725', 'e6d1eaf45c82e9d1', '126e9cb985775810']; context = [[93, 159], [38, 105], [10, 57], [117, 178], [147, 212], [0, 40], [44, 86], [46, 92], [75, 129], [32, 76], [0, 64], [13, 58], [0, 47], [11, 57], [2, 57], [143, 199]]; loss = 0.014552 low_pass_filter = 0.300
+Epoch 0: | | 15459/? [2:42:37<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 15460; scene = ['8026806102c7e1b3', 'c70a7a553169a8fd', 'fffb42151ab2e284', 'ecb34e3502829299', 'dd5cc7120648a275', 'ae0fe2e4c42b40b4', '1909a0ae859eadae', '50bc6fc9fe828039', 'ec281daa9b16da44', '9d4fc2fa0f094cce', '026b2018d1a368b4', '07db10e08f44575c', 'e55fc688b34e198b', '1fec260d0b00a145', 'b999e8b53f9bda12', 'ef11eb76ba318a0f']; context = [[32, 75], [34, 79], [21, 62], [191, 239], [19, 58], [191, 254], [5, 59], [26, 67], [11, 71], [26, 69], [41, 101], [156, 197], [70, 139], [30, 86], [17, 60], [4, 50]]; loss = 0.013027 low_pass_filter = 0.300
+Epoch 0: | | 15469/? [2:42:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 15470; scene = ['5626acbeb0a1d0b9', '9e211976287db6cf', '274c28b73e9d8df2', 'cf899a800d9f45d6', '381f5d2faf3db200', 'efcfc341dcd12a35', '8caf2f657e541fd0', 'e627744abf86f4c4', '8d402b322bee0fa8', 'ad200a5ec6bac91d', '0847dfebcaac2e4a', '4fd89da8062266df', '07486563a4a6767e', '561700885e33e5f0', 'cb7b175a046aa7a7', '3e336ce8fc1c8c82']; context = [[8, 52], [10, 65], [41, 86], [51, 100], [204, 270], [119, 177], [131, 200], [82, 145], [2, 67], [48, 113], [3, 68], [69, 134], [30, 90], [34, 84], [69, 132], [48, 111]]; loss = 0.013568 low_pass_filter = 0.300
+Epoch 0: | | 15479/? [2:42:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 15480; scene = ['4cfdc3ed984caecf', '1bb8fe74783c5161', '4b3fa9f2651d6a1b', '13f7e729c14cd10a', '07d791e644a21f03', 'd2f5efd93cab216f', '6c5bdea82b1cbf83', '070e6ca07b5f898c', '21316ebacd8d1dc3', 'e43706d840696cd5', '46a0fbe5394eecb2', '2437ee5f02184c6d', 'd60aaaf09b0efb55', 'b058c50b953c20d1', '4411a6eb5a900e40', '9c9608ac2ebd5912']; context = [[60, 120], [30, 98], [95, 159], [2, 66], [19, 66], [27, 65], [209, 249], [162, 209], [21, 63], [5, 54], [5, 53], [20, 63], [51, 117], [51, 119], [27, 74], [92, 146]]; loss = 0.014723 low_pass_filter = 0.300
+Epoch 0: | | 15489/? [2:42:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 15490; scene = ['19d9f7d0df4c4c66', '1a792e938e678905', '9f41866e213688cc', 'd734bb675e83b8e5', '7a57df9056963f4e', '35f5db03b4895d5c', '9f99ef94778a1897', 'f80940ae5584f237', '060ab7a17625581c', '03b9da2e2ac10573', '445c3c3215708ed7', 'c5e7121274452916', 'f601fa97c95ac6eb', '50567d99669deaba', '1a85f01ba13ff050', '13f1750202277c01']; context = [[5, 45], [4, 63], [1, 63], [192, 237], [61, 103], [42, 90], [62, 105], [177, 229], [66, 126], [1, 57], [6, 45], [7, 75], [4, 70], [21, 63], [16, 82], [64, 122]]; loss = 0.013655 low_pass_filter = 0.300
+Epoch 0: | | 15499/? [2:43:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15500; scene = ['e85dd060153453c6', 'e456788b15fc11a7', 'dfca45b7bac8c60b', '6ddba7bd6da995eb', '1302e9119a1cfa72', '15d5615334107cb3', 'ad1ad4b8dc7b6e85', '530058879ee605a7', '14e15ca555529d1a', '059615f378fa72de', 'b18ac63baf4baee0', '1b7697fd8dfb8717', 'c6c0e46d5daafd20', 'c85ef98584c441bc', 'bd242939c1449d8e', 'baebb7f6b21b1b2d']; context = [[20, 58], [7, 67], [59, 122], [14, 64], [7, 49], [45, 85], [0, 61], [43, 91], [35, 80], [1, 39], [5, 59], [19, 81], [24, 70], [50, 101], [4, 72], [62, 107]]; loss = 0.016671 low_pass_filter = 0.300
+Epoch 0: | | 15509/? [2:43:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 15510; scene = ['e9dbcf860ebe7595', '66c0e0cbda445586', '5efc5231a939142a', '1a7da077d7abffa9', '405b63e04081b23f', '8769e7a4d77e39e1', '0a9f46eadf5cb469', 'ea9e197f7c8e864c', 'cd48d8f1f4ee8fd5', 'c1225943d41e7775', '68183be9762db666', 'bee739375b5f5994', 'c2233a037e05454d', '3da75a9c139ccab7', '34ba9790ea908337', 'ad62f36bd0b34d11']; context = [[26, 81], [43, 93], [27, 68], [0, 38], [6, 60], [0, 42], [50, 101], [85, 149], [1, 55], [15, 80], [46, 115], [144, 200], [1, 53], [96, 155], [116, 183], [2, 66]]; loss = 0.015457 low_pass_filter = 0.300
+Epoch 0: | | 15519/? [2:43:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 15520; scene = ['f2c8678212c44344', 'eae335066648fbe6', '3ded3e3c1fe76ee3', '4f99cd173dbcfff4', '59169909a46a7498', '99cc6ca43546208b', '7e8beb820f189792', '23c0e70db47f9263', '1c1586cb9ecfc575', 'af219727b1aece30', 'c3ed60b37d9cc075', 'b6d96ca117b8b380', 'fb97f55b61aa86aa', '934f1135995ecbd1', '4c6e0eafc2e6c7ff', '583ab14553881ee8']; context = [[19, 58], [0, 67], [29, 76], [80, 133], [112, 168], [11, 74], [34, 78], [4, 57], [6, 57], [10, 52], [13, 55], [48, 107], [6, 67], [79, 130], [104, 147], [30, 84]]; loss = 0.013350 low_pass_filter = 0.300
+Epoch 0: | | 15529/? [2:43:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 15530; scene = ['e721fc9b9370bfb9', '6515c73871c16c8f', 'dbd787e2f15fb124', 'f8ee5a395e856a9d', '34037b62eef60172', '373ce003d1e0bdb9', 'c38835db6bec2825', '60a584cf224950a4', '9afdbb292342952d', '7c6d160c26de6887', '3ec1eeba0cc084af', 'c0e9d9f4f60169e0', 'b5f39f444ec03cee', 'b86f88d0d21318cd', 'c532c6f1dbe975b7', 'a9c6fdf06c6b4216']; context = [[15, 59], [22, 74], [13, 66], [54, 99], [9, 64], [106, 167], [42, 83], [1, 44], [6, 47], [135, 188], [6, 73], [16, 67], [28, 89], [9, 72], [14, 61], [1, 44]]; loss = 0.015947 low_pass_filter = 0.300
+Epoch 0: | | 15539/? [2:43:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 15540; scene = ['083f6e232345ba29', 'e2f8593ab819939c', 'e160faecc21bd431', '261bdda76d7124cf', '82065e7ce51acd3a', 'ba681e5557b24568', '4b57460bfcb3622c', '346c571507de5452', 'db94d811017ceff9', '360522a132341bfc', '6e65795a976312b7', '9d5d32f2e63f94a6', '90d1df38cff37e64', '89e82ee21c4dd079', 'c134e3f9851881e1', '551eefeac23f6841']; context = [[30, 83], [2, 61], [32, 72], [92, 134], [32, 101], [5, 51], [100, 169], [0, 65], [25, 89], [29, 88], [99, 148], [20, 63], [0, 41], [1, 70], [0, 63], [67, 118]]; loss = 0.012941 low_pass_filter = 0.300
+Epoch 0: | | 15549/? [2:43:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 15550; scene = ['88bf46314a638234', 'dd26ff97b19327bb', '366fdd255113437e', '92f8c501d9501097', 'f4289cfabb77058b', 'e6a4719fd1a80cd1', 'd8003945f6e4e9f9', '42ff234486b7be0e', '72717b03d91ce484', '17be26421f669650', '971586ddd0d6a4c7', 'd79152894aa2c4b8', 'b7d197b74ecf0646', '7df95d8d2d2933b7', '5906b1f53b8b266f', '313cc78ecf6c53cf']; context = [[127, 177], [60, 125], [161, 211], [36, 80], [2, 63], [1, 51], [77, 119], [14, 67], [16, 54], [126, 170], [23, 74], [128, 186], [152, 219], [13, 56], [206, 256], [23, 69]]; loss = 0.017650 low_pass_filter = 0.300
+Epoch 0: | | 15559/? [2:43:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 15560; scene = ['84fca6a82c71e4d1', '4a6928c68a058ede', '9566fd91f2dbfc6f', 'c5041e8f980b93e6', '0119a515554e72f6', '982e78e4de84016d', 'd4b1030a7dbddae9', 'be59b5b305af1e22', '1d5fd39dffb8dd6d', '425d0e1ced14eb61', 'a9d84304dc63be5f', 'fc9c7892225d8380', '18aa1d3b3874f1b7', '34cdeb904150be01', 'f9d09b2e4cbfdfc0', 'b583f64a01c212f2']; context = [[68, 110], [18, 60], [25, 79], [84, 150], [13, 81], [25, 67], [143, 198], [155, 219], [191, 235], [99, 140], [21, 66], [223, 268], [16, 82], [64, 106], [1, 51], [18, 87]]; loss = 0.034510 low_pass_filter = 0.300
+Epoch 0: | | 15569/? [2:43:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 15570; scene = ['f10703d432968469', '02d29a4aa8a7ad5b', 'b7f9c567a87b7c9f', 'b7003ac834dc298b', 'd34d184b1a47375e', '0f6bd079d46bebe9', '38ca720551960c1e', '481212cbd2a63d82', '6ecb3d64666d856e', '4a20d98d25ebee11', 'a3867b242a8e5e8c', '753238098c2307cc', '10477ed0034007cf', 'b6dd69cee72df5a3', '2c0f63521c7e23c6', 'fd3490bd670b5b80']; context = [[33, 81], [138, 199], [42, 100], [6, 70], [39, 98], [34, 103], [30, 77], [224, 265], [91, 160], [4, 47], [67, 128], [62, 116], [1, 50], [10, 56], [37, 77], [11, 76]]; loss = 0.016034 low_pass_filter = 0.300
+Epoch 0: | | 15579/? [2:43:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 15580; scene = ['3e5c85913fc7c0d8', 'de2fae8dc08aade7', 'b21216eb9941c9f1', '0313075cd35fde65', 'bf84e0f38a25ff6b', 'e9ae04619bdeca8d', '173b19f15ff9a34a', '939765172ffc74f9', 'c229ae59e2a819b9', '26bcaa3454a97edc', '69ec3d6b148a1b39', '0397db66e75e11e3', '828c3898047387d3', 'dfe3cbe9ca43aea3', '2c38ebf17747a14e', 'c9ba8f17c6191867']; context = [[3, 43], [28, 89], [0, 40], [19, 59], [15, 71], [139, 181], [99, 155], [21, 84], [0, 40], [29, 83], [39, 103], [19, 64], [128, 190], [75, 133], [35, 75], [81, 127]]; loss = 0.017897 low_pass_filter = 0.300
+Epoch 0: | | 15589/? [2:43:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 15590; scene = ['3d5b4c96f4915451', '7a6a50320dfe6287', 'ac6f65651a0917ec', 'ed2db165165282ae', 'fe0d8843daa972ee', '4c6b3bd1c47f2921', '43e296ca9d20f4d4', '7da58084fa0a0fd0', 'dfe61526cdb54b4e', 'ea2ed51db380ef87', '137a957417e31f23', '99c6206107d8beed', '360a1eb8acf3065c', '6588226fc3f5e56c', '1fa21f92277aa22b', '418a9c10a5c2542f']; context = [[23, 90], [164, 219], [21, 81], [42, 94], [1, 67], [40, 106], [20, 67], [1, 47], [51, 92], [47, 96], [26, 94], [52, 109], [38, 103], [47, 91], [7, 64], [56, 94]]; loss = 0.014649 low_pass_filter = 0.300
+Epoch 0: | | 15599/? [2:44:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 15600; scene = ['7b6731292a087e9a', '55e24e20d3c00382', 'f98d6c32648cdc8b', '4d0d26a83b1768dd', '0a9e82926ed00bec', '4486fd0a58b1b39b', '453102f725872642', 'b5ada35c89248568', 'a47203cfd5e0a478', '5c88629cb0741db4', '23ec4735aa0a67bc', '6883aebc73cdcd2a', '0645a4e5ad941af4', '81431041a033fbc8', 'd77fc60af718d2e2', '7277bcf45f9b2f21']; context = [[57, 108], [10, 52], [7, 59], [6, 73], [21, 74], [68, 134], [152, 199], [38, 84], [0, 45], [9, 51], [20, 75], [163, 222], [9, 51], [17, 74], [181, 250], [82, 131]]; loss = 0.012992 low_pass_filter = 0.300
+Epoch 0: | | 15609/? [2:44:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15610; scene = ['49bd2fde94929852', '776cb8b107ef8d5c', 'b4741c980124cd31', '842be3fa10ca4fda', 'a16d30d362a5ff7f', '3e715f03f925cf3d', '9c74a21848354b9c', 'd71d44024b5b0d3e', '8584676cfe1afe61', 'a92d8d313f8da420', '1ebe12e22110e0a7', 'fc3ee0f062e9a2e8', '6ebbb51c36ffa67c', '9c3ebea75620b57e', '975074dc77b4b39b', 'fe7834fcbdafda3b']; context = [[2, 51], [85, 123], [74, 142], [29, 98], [156, 201], [15, 57], [197, 259], [1, 65], [4, 48], [15, 73], [9, 74], [13, 64], [32, 77], [3, 54], [20, 66], [6, 63]]; loss = 0.012814 low_pass_filter = 0.300
+Epoch 0: | | 15619/? [2:44:17<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 15620; scene = ['f98a460f935a4214', '88a9896e225b36d0', '8756bf556a0b5891', '54a50da60dd74795', '80ef5caf2cc342db', '4c5587e7af8707a9', 'e1291a92bf893ee2', '182135a064f4dbe1', 'fc9fd50c008ec277', '49ec9e21336ff17f', '8c9ddc7f10e09af8', '486d2231cdb1434e', 'd37d4805cda16efd', 'a463edaa9473ebe5', 'e49f051e87f5d4d0', '1b59a7afc6aef520']; context = [[103, 170], [4, 69], [70, 128], [163, 227], [113, 163], [39, 104], [89, 136], [16, 61], [0, 69], [1, 39], [35, 84], [35, 86], [35, 91], [51, 105], [0, 49], [0, 47]]; loss = 0.014188 low_pass_filter = 0.300
+Epoch 0: | | 15629/? [2:44:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 15630; scene = ['29146014b4a4edbf', '704c97d84ff47fce', 'a5420cea4f11884a', 'ea65d9718b996560', 'da412df3f92047ec', 'c11d17eab39bc5a4', '2d7089ba8d2769aa', '6b26a9ab22f0adab', '0be92b512fbb61b7', 'b8a52805a08b4b53', 'ffe58154660295e9', 'b625745c894edff3', '7e9532ad39a6f4af', '7eaa23d04951ffe6', '319f501207f10fa4', '3c4c974cb4c99ec8']; context = [[47, 90], [50, 103], [3, 64], [1, 62], [64, 126], [81, 148], [2, 45], [16, 72], [4, 42], [55, 110], [32, 85], [217, 266], [14, 70], [12, 52], [19, 68], [27, 89]]; loss = 0.016110 low_pass_filter = 0.300
+Epoch 0: | | 15639/? [2:44:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 15640; scene = ['4dcf2a5e3020a734', '71f49d6c57da2444', '6de77e779e3b977a', '861ffbadf2fecc2b', '064f86a52bb038ef', '16d3bee1ca19a1f3', 'c12fac3629f20e64', 'c27f30b71f9279fc', 'df2160a1c74477b6', 'c138045400b089a8', '76102a284ac733bd', '3b93d15c3121c2b7', 'b58ebbe9b137ac08', 'e2057c3395c0235f', '1d610e7d3d756ca4', '26d86239357fd6d1']; context = [[12, 56], [143, 191], [211, 269], [32, 77], [55, 121], [4, 66], [14, 60], [23, 63], [112, 155], [30, 71], [29, 94], [70, 121], [151, 221], [23, 85], [21, 83], [54, 92]]; loss = 0.016819 low_pass_filter = 0.300
+Epoch 0: | | 15649/? [2:44:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 15650; scene = ['7227ea629f2cc6c9', '27ad0b1abbb2c06e', '3791465d0f3b7764', '035ba49c8074f0d4', '4d433c9ba3cb7c33', '097049e07065fe6d', '0e0a0ac08ac3e1e0', '4a461aae5bd6c571', '9e86f1d5a26eb9d4', '80564bcae125c314', 'a2e10d0073ed12aa', '8be97eae2bb7c774', '9c9ced8fb87ee489', 'f9cc743f6e98f656', '06a4bfd396009736', '7e5df2af98541d75']; context = [[89, 147], [2, 64], [12, 63], [154, 224], [11, 72], [26, 86], [43, 93], [0, 42], [123, 168], [20, 76], [5, 71], [11, 52], [52, 114], [141, 197], [2, 47], [83, 134]]; loss = 0.013756 low_pass_filter = 0.300
+Epoch 0: | | 15659/? [2:44:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15660; scene = ['6f81a4ccaeb687c2', 'cb1ab7efea5b0b3c', 'f5b005cd4438e2c6', 'a7f4634cdbb5bd73', '24e2d1df4ded73d6', '885672bd54db44a3', '3308f38305b81cbe', 'b1960a647463572d', '2572d5318c4a894c', '133df6db7dd9dab1', 'cf26b918eb1d935d', '4d32322df2d07217', '901d6f8cb3b8db83', '880427ff150f7b4d', '49bb6d11028988e6', 'ff66444e1858620a']; context = [[17, 64], [4, 72], [9, 73], [220, 278], [5, 70], [88, 138], [163, 217], [0, 68], [0, 46], [87, 135], [4, 72], [38, 88], [22, 80], [6, 48], [15, 59], [2, 66]]; loss = 0.015436 low_pass_filter = 0.300
+Epoch 0: | | 15669/? [2:44:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 15670; scene = ['c0b9d76884655dcd', 'a90cd28742cee5e0', '3af84daf652d5c9d', '8c9aa1244d6b8737', '3cbe6fe0f3f71e16', '9f3bcd7cc09b869d', '6c3a059a4bb42347', 'b220e8591b6048ba', 'f75e151b66f83348', '5e55f309753b5ce4', '2074f221af3f9433', 'cc8550b9fff2f927', 'a640bb4bd9e593c2', '5e263ba95983770e', '8fbc71047643e827', '8bc1354abb4655b2']; context = [[70, 113], [1, 64], [26, 91], [26, 87], [34, 102], [33, 85], [39, 98], [195, 256], [86, 147], [74, 142], [86, 149], [35, 99], [1, 66], [24, 80], [177, 218], [63, 123]]; loss = 0.013843 low_pass_filter = 0.300
+Epoch 0: | | 15679/? [2:44:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15680; scene = ['49e7e9cb5d2d82e9', '0ba3f75a6d43a1e5', 'ac205c8547a2a317', '3a045112f60a54ed', '17087361201e57aa', 'a814455509c872b1', '73eae9f932758309', '1f6a034a8566831c', 'f73d742233a2f5a4', '70f3055bdf9f1a76', '9753a8291766b5da', '1633b78ec0661e10', 'd8d10da8948e5676', '9c77cb4edf2300b0', '8e9800f2eef52cf9', '39d85773336cae3a']; context = [[13, 68], [6, 54], [50, 89], [186, 249], [4, 57], [0, 48], [29, 78], [90, 158], [102, 145], [102, 156], [39, 89], [15, 59], [142, 194], [137, 184], [84, 149], [14, 69]]; loss = 0.013639 low_pass_filter = 0.300
+Epoch 0: | | 15689/? [2:45:00<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 15690; scene = ['e8cd648aeb8f075d', '295df0278eb768a5', '1db629688010819a', 'e4a524860ede4dc6', 'a80b012b3a1726c3', 'd607e5e90b7be831', 'e0e513ba0cc4ece2', 'f9c15813e130ca91', '0981c9e4524d0b2c', '175acec4e4fa2f0b', '84e1eb03e41bc5d0', 'ee33e9848460b937', '648a53428caedda9', '52d88e6813dfc20c', '998dfeb70f24df60', 'bcf1114ce1512ee2']; context = [[75, 144], [24, 63], [13, 63], [0, 66], [19, 60], [12, 70], [34, 85], [17, 67], [60, 106], [0, 53], [67, 134], [6, 57], [3, 53], [2, 71], [30, 69], [6, 53]]; loss = 0.013811 low_pass_filter = 0.300
+Epoch 0: | | 15699/? [2:45:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 15700; scene = ['06e248b6757cbbcc', '60d2537a38149999', '9e15fbc719ab1e4a', '82b71bfc359ab228', 'c2f97d21c68c9450', '171b4dff96c9f0cb', 'ad96a22bb137e566', 'b043b8a11caf2162', '34b86d6870238c64', 'ce5600070606c18d', '7de470f122c55a25', 'b23a2d11dd88eb83', '67a34000b10e05d1', '4e1290159c4dfc0d', 'e6927e3ec3898166', 'd0ca50187d5095ec']; context = [[79, 147], [32, 86], [55, 125], [200, 248], [33, 99], [91, 160], [13, 61], [2, 65], [47, 105], [14, 56], [13, 71], [1, 63], [27, 88], [10, 49], [0, 46], [59, 123]]; loss = 0.014936 low_pass_filter = 0.300
+Epoch 0: | | 15709/? [2:45:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 15710; scene = ['6ab6aeacf77d2042', 'd13902051086f0a2', '28cc0191270bb387', '92868475d21a277d', '3a50ea2768f33db4', 'def5344f5b39ef71', '450a8009cd7801f8', 'a7045b13eef794d1', '8e0a13fe11111b79', 'bbca804a517e6761', 'd326bfbbf5581ec7', 'b1d0300a26f2b3d7', 'e869a97d7ae6d447', '737535b2deaf95e5', '444a119953aad7f6', 'c6fa11aa48b3c933']; context = [[36, 88], [2, 49], [15, 65], [20, 82], [8, 53], [115, 178], [116, 170], [15, 76], [46, 98], [39, 91], [22, 72], [4, 50], [3, 41], [69, 128], [3, 42], [1, 53]]; loss = 0.013409 low_pass_filter = 0.300
+Epoch 0: | | 15719/? [2:45:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 15720; scene = ['02195bc2cdded89e', '99c1a6379588e6d5', '1542b46b07997c0e', 'dc98908eb1cd3761', '54e0c39079f7a30b', '7cf0e738befd60db', 'c175a2131d162c82', 'c8b833961ffd8ac5', 'c6bd8d3b3367444f', '0c95a5e1564c0af0', '9c715fc7130e0184', '8069eabd958650df', '2ca62bc0dc91e75c', 'e5982d41ac4b91de', 'dc2ba641e3e2836d', '5c4e9cce07e2d371']; context = [[14, 68], [37, 104], [49, 88], [0, 60], [70, 121], [70, 108], [13, 68], [198, 250], [1, 69], [19, 60], [10, 69], [25, 78], [4, 69], [0, 45], [9, 78], [29, 67]]; loss = 0.013552 low_pass_filter = 0.300
+Epoch 0: | | 15729/? [2:45:25<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 15730; scene = ['47746ad5be519fb9', 'ed954796f9e28e4b', '9ee5fa73fe99e590', 'aace7cb366015784', '3602ae51d17d2eae', 'd1867da16ab8a533', '4d80b0cb97667fb5', '875e8106a8f6ab31', '877ae8de01283e41', '1ba47f3137b638ff', '43ed7dd9031ceff3', 'd90f68bab916e8a0', '3fef43891ca3841f', '010fb4b5e0e37c71', '48dd32a0f4a2367b', '583dfb028aad48a2']; context = [[10, 69], [13, 56], [81, 130], [5, 44], [198, 245], [117, 181], [22, 91], [22, 87], [21, 80], [10, 58], [91, 139], [33, 85], [87, 138], [24, 67], [23, 71], [1, 43]]; loss = 0.012442 low_pass_filter = 0.300
+Epoch 0: | | 15739/? [2:45:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 15740; scene = ['db42164d6ef63c4f', '02af398e30b373cd', '0cc962b7da0995e9', '22e47840333d555f', '8376b484d77d9e11', '79f00f9db5099851', '9fd8814f2742203a', '157241dcd92f227c', '52a25726b0c228b8', '5ff2f4b985d79b33', '35ceae864dd25134', 'ba032eb8a710d56a', '174cf33b0d4a692d', 'bb6caeb2ea84a45a', '92606a453fbd505c', '6e77ffab3e66c017']; context = [[10, 50], [77, 145], [21, 90], [7, 59], [31, 77], [1, 46], [1, 41], [7, 74], [15, 76], [13, 59], [33, 86], [75, 120], [7, 70], [3, 72], [56, 102], [5, 64]]; loss = 0.015910 low_pass_filter = 0.300
+Epoch 0: | | 15749/? [2:45:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.0train step 15750; scene = ['64ccfd69e630744f', 'd1f5dec6ca21042d', '2c81ddbad2ec52c0', 'f7bc3b34000a7cf4', '405ddee5929128c1', 'a0bd9b96e72653d0', '0f66d4da2e5fb807', '3bdb6eec2dd5c448', '54792c35c05cd7f5', 'ac006fdd32e9cf90', 'dd75e9c994612497', '9834366fe2054a74', 'e4a773aa8bcdeb64', '6c0c16bc3341f05d', 'f104e30541a188d9', '5f1f5568fd74bf20']; context = [[30, 83], [2, 70], [0, 55], [3, 48], [123, 193], [49, 90], [7, 45], [0, 42], [5, 52], [40, 100], [0, 59], [3, 72], [57, 98], [21, 60], [11, 73], [78, 127]]; loss = 0.012301 low_pass_filter = 0.300
+Epoch 0: | | 15759/? [2:45:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 15760; scene = ['513ae69355efb81f', '6bc33a0a3885c153', '7cdf2f89cc9fa2f6', '0bf19acfa975633f', 'd0832724bf5ee75a', '6587793d3d37d760', '307c55785d4f1131', '92b172ef32af49ee', '070de38b8e08aa51', '0c58f684b5a589e2', '8d2763caa6b3fb11', '56330f4fd90f9961', '7d6fa834fb4ba356', '81ca6bc8c809f255', '57dc85446fc5e73e', 'a318efa4108b5cfb']; context = [[9, 47], [42, 99], [4, 74], [96, 147], [2, 41], [6, 75], [12, 75], [37, 89], [66, 131], [109, 166], [4, 74], [15, 53], [32, 88], [64, 123], [41, 85], [6, 47]]; loss = 0.012622 low_pass_filter = 0.300
+Epoch 0: | | 15769/? [2:45:50<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 15770; scene = ['5e429c2024074214', 'e5ab20785c53c971', 'cd6cd612060f10dd', '08a7097ff643d0ff', '175e0392b1db2d9d', 'fc65b4c09d843087', '96e926b97316d24a', '3d8e8150800e5f60', '5b48d8a9c40c42df', '5bb2af7b8fc1a706', '25c0dbeb01c840ae', '0a1abaa6ea233a54', 'adae27b073e92904', '73f6ac2c4b2d44f3', 'fb5f6ef461418097', '2bac81068ebb0b09']; context = [[2, 68], [48, 90], [22, 76], [16, 71], [85, 150], [50, 92], [68, 114], [4, 62], [85, 123], [61, 124], [127, 189], [74, 124], [7, 61], [14, 63], [19, 57], [10, 62]]; loss = 0.014625 low_pass_filter = 0.300
+Epoch 0: | | 15779/? [2:45:57<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 15780; scene = ['df6ed72940507774', '2cdf31619207c526', 'ce2b53a1dd284f8c', 'cda626276cad4421', '28eca1887bb0e308', 'b55e562a2c369bf4', 'df9b8501e70fe5ca', '83e59bd234f5cd90', '51e4575b2fc2c3de', 'd2ec0415685d53ad', 'b721c9a209ca3a3e', '93c715c4bf78b632', 'e85fc4ee5d07db87', 'd13cf5e43c7c2e79', '3ae7b920a64b6333', '01ac1debec3ecd61']; context = [[137, 182], [5, 54], [18, 78], [156, 196], [52, 107], [83, 152], [25, 87], [1, 64], [64, 121], [0, 51], [31, 97], [93, 147], [15, 80], [2, 56], [44, 93], [25, 82]]; loss = 0.011731 low_pass_filter = 0.300
+Epoch 0: | | 15789/? [2:46:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 15790; scene = ['ec32efaa59047947', '51542dd7e28551bf', '2bb10d929829eb3c', '234951bcea9de45a', '520c173c48bb5486', '438a753f3bd98e78', '3716c7bca2c8f6d7', '4b3716dd9a1e8697', '3b097d4284de0944', 'b84f35929987c24a', '10c8a393f7c8d989', 'f482b913fe53bbda', '091ac44349ed62c9', '1c1add7268c192b4', '47146f0da6e6c32a', '13d8c2b7b1067355']; context = [[7, 67], [208, 276], [11, 81], [20, 74], [75, 143], [18, 64], [0, 61], [16, 55], [0, 54], [83, 138], [18, 76], [12, 71], [11, 79], [82, 130], [100, 151], [111, 162]]; loss = 0.013924 low_pass_filter = 0.300
+Epoch 0: | | 15799/? [2:46:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 15800; scene = ['554de88b345618cf', 'e71374d746eca58d', '4ef9ea41d2491db2', '0c8d65b305f7dec7', '9d488b6c1cc01053', 'd4ccd497eb793d75', '2ec872c96bbc4d3c', 'c1388d6b637459cf', '80dfaefcf8877057', '8e5dd54e57122902', '24813fb67839f779', '2c10672dcad0fc1d', '532eb0e37a511234', '11ac1c29846c8b02', '7b1acd8b44eecea2', '50b60190fdc35512']; context = [[92, 159], [33, 99], [1, 47], [2, 58], [67, 133], [33, 75], [75, 121], [27, 87], [77, 126], [105, 174], [122, 163], [75, 122], [50, 110], [66, 128], [0, 41], [160, 203]]; loss = 0.014284 low_pass_filter = 0.300
+Epoch 0: | | 15809/? [2:46:15<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 15810; scene = ['bc166c31e86f0980', 'd976550245197d78', '8bb208b737aa4c51', '7407ebd92ee880b2', '8b69ba4b99dcd46a', '3a3ba8fcc8244968', 'fdeaa214de57826c', '2bedce9198d2994d', 'fb1ce36de4450ea0', 'b7f576be65cc4637', '39ce14a64ed1ae2f', '42c6e3bed858414a', '1a785e4fffdf088f', '065f86b14cea5981', 'fb295ae07f9adaf5', '639ebb79eb48f420']; context = [[23, 64], [7, 65], [9, 57], [0, 40], [26, 73], [2, 43], [33, 79], [16, 74], [1, 52], [138, 177], [48, 113], [50, 119], [4, 70], [1, 41], [53, 101], [34, 99]]; loss = 0.011325 low_pass_filter = 0.300
+Epoch 0: | | 15819/? [2:46:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 15820; scene = ['613b15bcf32abe86', 'eb91912e63633cdc', '42041e0a1d0a2be3', '7400bbcba57af668', '65cdd012231a757c', 'd8ddebbd5a79364b', '0ea852338a77c84d', '6d70eee02ef9d6ff', 'cc8ca5db181e8bce', 'b789c7458ec68143', 'dea5bd0f77069f72', '53db70b63ac3990c', '321daaf7850e7d74', '8ac83ba3156df8d9', '5961c0e76030094e', '3397c19634a51370']; context = [[13, 66], [143, 207], [0, 45], [192, 237], [167, 220], [24, 85], [22, 89], [27, 72], [30, 95], [3, 72], [46, 95], [62, 111], [161, 215], [16, 77], [2, 45], [1, 55]]; loss = 0.015380 low_pass_filter = 0.300
+Epoch 0: | | 15829/? [2:46:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 15830; scene = ['e38274129f29ce92', '36cb3e8fff79b724', '5c1dd2301e22374e', '2290303343a755db', '90783a2ca6d59189', '1e70d59cdc2296d9', 'ec938727ca124155', '18da6c73b59a3d9c', '6a9597d09203d7bb', 'a00f87e22e7a7e17', '722eb1a6448ff0ce', '152a93ab43d95813', 'e83e99bb33c1a3e2', 'c94d226b402bb584', '9e49a49124564a6f', 'b2f053581c6a54ed']; context = [[21, 63], [109, 149], [2, 48], [16, 67], [136, 206], [9, 49], [10, 62], [12, 75], [127, 189], [5, 51], [8, 72], [6, 75], [60, 101], [7, 51], [57, 107], [137, 181]]; loss = 0.013837 low_pass_filter = 0.300
+Epoch 0: | | 15839/? [2:46:34<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 15840; scene = ['ed22b05537df9f59', '152d43c01efbc620', '9f66227d73e22560', '73eca94ce253856a', '11c0b81458353544', 'f4f09cc40c069423', '617dca58ae288a19', '72d4380bfe082bcb', '5b011a5a3d233d7c', '3e65537ef0d28ef5', 'e4d41618c44cfb3a', '19a6008b9f6bdae3', 'baf50d5df6dc9369', '5d208f960b52435d', '99d6035714f21d81', 'f5733786f370ff53']; context = [[17, 84], [7, 59], [143, 207], [79, 141], [90, 136], [89, 137], [1, 48], [42, 111], [133, 191], [3, 59], [44, 101], [19, 86], [5, 64], [4, 59], [4, 44], [34, 93]]; loss = 0.012924 low_pass_filter = 0.300
+Epoch 0: | | 15849/? [2:46:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 15850; scene = ['60668562d6c87ea1', '0d83113257921da7', '5c5315d2f3abf546', '4233126da4add0be', '69d5b9ddf86fc47b', '6043f636981b38cc', '6e1456e2d905ac33', '099bb96a791d9e52', 'f46fb61592de5ccd', '340803fbb79f0221', '1f627e533763046c', '163996095d00bd33', '4cd943599530cb7d', '2ff210aad488532b', 'a966e4fd3a47983f', 'ec236d46d30d1a91']; context = [[111, 151], [42, 85], [9, 67], [22, 79], [9, 60], [79, 142], [5, 55], [108, 150], [66, 136], [137, 183], [25, 80], [148, 217], [108, 177], [5, 58], [13, 59], [48, 114]]; loss = 0.017013 low_pass_filter = 0.300
+Epoch 0: | | 15859/? [2:46:46<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 15860; scene = ['e5b144827a8bf85d', 'a813b2a1c067cad3', 'b5dace903b81f7be', '65ea58de7758f8c6', 'c58abf74527c5ce1', '0e95c3e810f01f9a', 'a464ce7c8383dbbb', 'f6becdf5b3da0678', 'dd25aa0338b45231', 'fe6348dd3b06de6a', '25b61d1c81bb55d2', '3e3a689093824042', 'ceec427e1ee30242', '7754a66cbcf3db22', '615edbef9997f747', 'b6d9f61b638b36c6']; context = [[36, 79], [46, 86], [89, 151], [16, 63], [29, 97], [60, 121], [49, 117], [8, 48], [44, 83], [26, 95], [4, 73], [2, 54], [107, 175], [29, 96], [8, 53], [46, 107]]; loss = 0.016307 low_pass_filter = 0.300
+Epoch 0: | | 15869/? [2:46:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15870; scene = ['7c1010582c1ebbac', '317535ebb6582ffa', 'a20f80e4caf2f5b8', '2aedb6f4d4cadea9', '800730657e19060f', '4cd2861f338c72f1', '0143876971f2d26f', '567afb27f3c224d6', '1505eac55db08881', 'e42f283d6f967249', '4089488b3adb6226', '605bae1f22177e7a', 'd458f48f3cd5ae1b', '42d33d1990dc2827', '0ff43f7eefe141b0', '01acd2ba8e3e6f7c']; context = [[0, 56], [59, 124], [150, 219], [6, 49], [25, 89], [14, 70], [0, 44], [45, 109], [70, 137], [54, 119], [9, 56], [0, 65], [10, 62], [5, 72], [45, 102], [29, 95]]; loss = 0.011959 low_pass_filter = 0.300
+Epoch 0: | | 15879/? [2:46:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 15880; scene = ['d345268172e5732e', '1ce32bc99032a919', 'f318c630d079b064', '88655ea7f5e7e420', '9649ef3651b0f43f', 'ef2a5bf375f9eda6', 'f8e1a14db84dc92d', 'df864e287334d755', 'bbfcd3d774e70b9d', '4a96f781e5a5b768', 'ad1ea2448e201fde', 'ce583b2000bccf49', '9e81739f44494c01', '5228b0e43b41274e', '7d7ee94b559dd5e3', 'f9da565a8d03319a']; context = [[75, 123], [119, 167], [5, 59], [23, 77], [11, 56], [171, 228], [45, 107], [220, 259], [223, 278], [3, 50], [3, 69], [4, 66], [103, 173], [52, 115], [1, 44], [4, 45]]; loss = 0.013227 low_pass_filter = 0.300
+Epoch 0: | | 15889/? [2:47:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 15890; scene = ['6a1ea67384a032e0', '106b750ca62bc0ef', 'dce3791efbb4453e', '94c24998ecc23097', '9e01fa07e911197d', '6cc87d3f3948183e', '94f19a13fb2a5171', 'f784e04c9e814dce', 'f0d2bd621012431f', '774f9004411d149c', '685f8dbbf5c8f207', 'b04ddf89db9147f7', '75fed782416a53f7', 'b3a97d27c519cdea', 'dde8845ccf64c76f', 'f08a49f7e35dd20c']; context = [[123, 179], [12, 51], [6, 51], [56, 110], [29, 78], [77, 141], [64, 114], [16, 70], [0, 49], [47, 108], [3, 71], [15, 61], [0, 63], [1, 42], [7, 51], [76, 146]]; loss = 0.015158 low_pass_filter = 0.300
+Epoch 0: | | 15899/? [2:47:11<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 15900; scene = ['96f5be1050d016ad', '43d15b8037853a27', '1c68ef09c2a2adf6', '518418acaebb3208', 'ead11a79720faa36', '9c7d2b15b61d403a', 'b790b4a50266bfac', '3184a8586eb9d26a', '7281282183a977d3', '3d010d79a440ad27', 'c377a8133c5e7a82', '7dbbedcf6deeb966', '5284dd49770861a7', '4ab606710f06af0b', '3665af07357cf4fc', '9d3f195e8d854334']; context = [[3, 68], [15, 78], [8, 56], [139, 200], [59, 115], [1, 71], [133, 174], [26, 89], [62, 113], [33, 81], [8, 59], [15, 64], [1, 64], [124, 193], [23, 65], [5, 48]]; loss = 0.011863 low_pass_filter = 0.300
+Epoch 0: | | 15909/? [2:47:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 15910; scene = ['7f075e6ffa6c31c4', '2f6a5dd7b6a7e992', '871027075a80bcad', '70ed6ed94266af1e', '4a0df5ab34c744c1', '6b881256e91f5dbb', '5d172f09fd8bc22b', '1830d8ef08b62b97', 'c437043ac9ced6c1', '2660f845947221f2', 'be0edcb9a9812543', '429ea04295ce4c00', 'ea02d0f42c603c21', '2da742368e36cf1d', 'a5be41b89080d8f1', 'edb1bfd370d7c89d']; context = [[92, 140], [18, 72], [77, 138], [25, 74], [15, 81], [219, 265], [21, 77], [12, 54], [60, 123], [5, 53], [26, 95], [17, 61], [103, 143], [26, 96], [112, 177], [47, 100]]; loss = 0.016658 low_pass_filter = 0.300
+Epoch 0: | | 15919/? [2:47:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 15920; scene = ['ce5dda2d82101fb8', 'f6cf7564dcf914a6', 'dcc872e1827e4418', 'ba5622b5bba6548e', '5d04fab0c0b812c2', '07d4ca1dbb7321fa', '2a0224f9004eb606', '4812a70132f58027', 'dd3e295d87254211', 'c09f0974b1886497', 'c43f2afac41be9f0', '3933e050eaffe98d', 'ed03a5c85c48f284', 'ff78f5cb272e5c78', 'cee0290238ec48ae', '03e06c2a6e1c1708']; context = [[49, 93], [112, 164], [0, 39], [60, 127], [6, 58], [2, 44], [135, 191], [147, 199], [139, 182], [110, 150], [10, 74], [33, 86], [1, 68], [23, 84], [51, 112], [42, 87]]; loss = 0.019486 low_pass_filter = 0.300
+Epoch 0: | | 15929/? [2:47:30<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 15930; scene = ['bc34ecfb3c809d97', '51ba892c38152086', '4b30f3b820875a1a', '84335596c296225a', '995f249ace489797', '4e03afc8fd599673', 'fa6254c2b923ec34', 'd75878b63705d58f', '9ab8790f640525c5', 'f091f8a44150921f', '4c0bec6a9843b6c2', 'e75e5a54d2b27d9d', '8024a27b3138f205', 'dd9f02a2c1f969f3', '59d81da76eda2f59', 'fb0e99a7cc720ab3']; context = [[15, 70], [223, 276], [12, 56], [76, 146], [2, 42], [27, 73], [21, 62], [27, 92], [39, 101], [51, 104], [36, 79], [24, 91], [7, 55], [2, 46], [12, 78], [11, 52]]; loss = 0.017286 low_pass_filter = 0.300
+Epoch 0: | | 15939/? [2:47:37<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 15940; scene = ['76b4366351bc4102', 'd938c73738634cbf', 'ee619cd24ce15a86', '56863fb499e2ff9a', '6acee38e5863fde6', '287375b8ee068546', 'c8cfb09f212bf6c8', '70239c9bc2e571c6', '3e763e3c28e87eed', '9c56e31b751255a9', '5879bf6ccd97ef05', '726026f195188079', 'aad83df13b5fd1ff', 'd411e46a9975e95a', 'e67aba7b8bf42f3a', '2b4f1b4f81af6d3a']; context = [[22, 82], [22, 64], [15, 60], [23, 73], [16, 61], [87, 131], [27, 92], [11, 57], [25, 85], [43, 113], [16, 75], [28, 78], [54, 111], [129, 187], [20, 76], [1, 45]]; loss = 0.014264 low_pass_filter = 0.300
+Epoch 0: | | 15949/? [2:47:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 15950; scene = ['2a82ed2d93a098fc', 'a762afcb63ac987c', 'dc044b71b712f904', 'eb0ad402ba6f499c', '4180411482979dcb', '437215dbbb21544e', 'ef05d8c3781ff579', 'c9640bf752471029', '96824b99a698d846', '5db087f55931870a', '4556e49b3a92641f', '79afe1c4794f8fa1', '94304e7878021cde', 'b1e149b34d6b16f3', '9e7b0e6b126a0449', '1d5a30bb1267f67b']; context = [[24, 91], [11, 51], [151, 200], [11, 79], [23, 71], [12, 79], [14, 78], [30, 97], [33, 103], [23, 64], [44, 83], [5, 48], [70, 134], [11, 74], [146, 190], [133, 200]]; loss = 0.014221 low_pass_filter = 0.300
+Epoch 0: | | 15959/? [2:47:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 15960; scene = ['960ee8aa94f850d3', '6e09a9fd20857df0', '98590b7649755555', 'fb3a76eb4854d550', '9aecffee631175f9', '82cdc87bb2169311', 'ee900fdc0e91edc5', '3de83835be367bdf', '6d1341b87237bb6a', 'daff359bb3c9a72d', '7be1f03b786006fc', '5ea5a5ed231c5753', '0f6bd86d073ffa4b', 'c386044808598461', '20607fd2e40f16c9', '23455f0f5d2567ec']; context = [[10, 68], [175, 241], [118, 174], [13, 71], [156, 203], [131, 188], [52, 114], [29, 70], [30, 97], [70, 135], [54, 106], [0, 71], [13, 83], [13, 61], [55, 125], [18, 84]]; loss = 0.013364 low_pass_filter = 0.300
+Epoch 0: | | 15969/? [2:47:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 15970; scene = ['3730751b1237c73c', '3e13f3fba0b0ea14', '56a72d430a8dd9e0', '957b2fa61822202c', 'f4cfbc87ff95b92d', '84607653a6a8b121', 'd094e210c695115b', '9fd8a9831baf651d', 'a0e1d0d42838d44d', '906de481e921bac2', '3712214aed3882fb', '5641c1d697eb7c00', 'b44df40a0d74a4d5', '1894f05fbefb5abe', 'a5cf0ad915b724fe', 'c987b733564bd36a']; context = [[6, 48], [102, 153], [10, 54], [73, 123], [1, 60], [11, 66], [188, 246], [8, 61], [81, 136], [73, 121], [21, 63], [1, 63], [11, 60], [92, 133], [0, 44], [32, 77]]; loss = 0.012243 low_pass_filter = 0.300
+Epoch 0: | | 15979/? [2:48:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 15980; scene = ['2caa3fcd9e69c050', '3a5c506b28095e20', '5d3d63fe880e747f', '9607118d925d0c92', 'd9b2f1092421b1fa', '8937f2ec63b6fecf', 'a547d9a777dba987', 'b22b2dddb6514fad', 'bef07f5d854b4ecd', 'bb0d0e90168fed9b', '01d0d2b4aa40236b', '70cccb9c7d04585e', 'c5f2e6776dac629f', '9b1273c8f696f5c4', '9a3449c857ad8d2e', '9e361d7c969f1f0b']; context = [[56, 111], [36, 93], [20, 89], [2, 50], [13, 59], [86, 148], [21, 77], [144, 196], [2, 66], [135, 197], [36, 97], [57, 114], [22, 68], [65, 120], [0, 49], [74, 128]]; loss = 0.014986 low_pass_filter = 0.300
+Epoch 0: | | 15989/? [2:48:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 15990; scene = ['2920cab8cf74aa1c', '08c5933644751ccb', 'b9f698335e518686', 'aa48089b1858e407', '5940259c65c669f0', '44c27ce891be6027', 'd3ec125d78abb4d3', '9ed1229832a964c4', 'a90e228525bff876', '64d8f501b693aedf', '88caa929eb27afd9', 'b9347cd2020634b0', '5cad63fcd9593f65', 'f026933010d5a6d3', 'e41c6ed43457b590', 'ff022319df48586a']; context = [[21, 68], [32, 100], [12, 74], [3, 67], [105, 173], [2, 52], [74, 115], [58, 128], [60, 116], [85, 151], [23, 74], [70, 114], [28, 91], [4, 62], [9, 71], [25, 83]]; loss = 0.013676 low_pass_filter = 0.300
+Epoch 0: | | 15999/? [2:48:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 16000; scene = ['95a3e58d4935e819', '15c143c646be62b8', '37e73ee1ead027f5', '498924a26eea2512', '40c71153e86a9e74', '18877ce74b5084b7', '68683f955a0e65b9', '959a7457a468f670', '5ac7c4ce642f7b05', '73bdc7d6ab5f0561', '94b22ba24f741784', '615cc977ddbc7fb7', 'd56392a9d88c822b', '3a0187dbeeea94c2', '938de9ed21c7c620', '0f917244fa7a3d9f']; context = [[38, 92], [122, 174], [15, 71], [79, 129], [0, 42], [84, 130], [4, 52], [46, 97], [10, 72], [30, 92], [0, 39], [73, 113], [1, 67], [3, 66], [1, 44], [2, 72]]; loss = 0.014254 low_pass_filter = 0.300
+Epoch 0: | | 16000/? [2:48:15<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0validation step 16000; scene = ['d7a7ddbaac9a3df2']; context = [[19, 87]]
+Epoch 0: | | 16009/? [2:48:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 16010; scene = ['89cc337397133f3e', '1b95d354eed7159a', 'ffd19f414629037b', 'e9c7429c38f43e66', 'f68d49dddde45d32', '7c7cdad9ebdae004', '09ce74a8f4a80e29', '81c70e9ef4cc4b19', 'e44d8ddd3535688a', 'd2d1e88def2d5190', '05bbc9909ddbc3b7', '0cde44f566b2a805', '40da5b52f6446644', 'dfb7bad8245ffc20', 'bfd65a0f399bb9ab', '11a11baafff47174']; context = [[153, 196], [52, 98], [37, 81], [1, 72], [54, 120], [118, 158], [32, 82], [0, 40], [18, 67], [20, 71], [13, 78], [16, 57], [33, 87], [142, 183], [1, 57], [12, 54]]; loss = 0.013607 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 16019/? [2:48:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 16020; scene = ['ab040c86608fb8cd', '3e97a9d8a39cda43', '4c2dfabec6c5cb6f', '6262d7d23b49f6c8', '27d36259d660db4c', '22e67a14833dab08', '7fad0336e684f3a7', '74250892a618f227', '6476221df017a9e2', '05f85f73e2aee6aa', '2d2c24a5d3adf863', '7a7aa665c3efecb0', '1b2134d524dfa218', 'fbffb9c21146ae12', 'f13084d6692c6510', 'fb4d48424bf2f030']; context = [[63, 116], [27, 68], [13, 61], [59, 120], [25, 70], [1, 72], [183, 249], [46, 107], [154, 201], [117, 157], [20, 71], [23, 81], [11, 70], [97, 158], [82, 124], [66, 111]]; loss = 0.014236 low_pass_filter = 0.300
+Epoch 0: | | 16029/? [2:48:34<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 16030; scene = ['0d1c5e5e77dfc06b', '0362bc618a029222', 'f44a0546760ccdb6', '7637453da2bff547', '3c9ad99cce6558da', 'ed35350baa1d1fb2', '7f8cd1f3c9acb8f8', '623e9b4a6f37f93c', 'c2d169718514f0a8', 'e3e252f0494ff061', 'd4bd2dcc63c5ea54', 'a80fd2f2a9bf34a7', '1d8f8faa8a7ec751', '7f1b2d73cffaedec', '9c68a8a0af17b921', 'eb5e30080980212a']; context = [[181, 246], [6, 56], [25, 80], [101, 162], [14, 70], [5, 54], [34, 82], [38, 91], [9, 59], [1, 52], [2, 53], [8, 57], [10, 58], [8, 73], [21, 64], [141, 204]]; loss = 0.015535 low_pass_filter = 0.300
+Epoch 0: | | 16039/? [2:48:41<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 16040; scene = ['39c96ad5667df5f5', '037e13cd4894ab2a', '7ceccbd59af6b957', '383eef6f20986610', '62eba2b87c032f2b', '71ee078ccf3a70d8', '078801ae3578e3e4', 'af0488663f2fe222', '76d19f39d78b5460', '6f5dadb86bb15604', '460e5799fd3f2446', 'c27226cd8e195456', '353c419b18f685b9', '1d9692d06299f632', '5dface4267be6f4b', '1e1644e076681a88']; context = [[28, 68], [9, 61], [18, 77], [5, 47], [4, 50], [3, 63], [64, 115], [90, 149], [38, 100], [22, 77], [3, 50], [3, 68], [165, 234], [10, 69], [14, 62], [2, 70]]; loss = 0.016564 low_pass_filter = 0.300
+Epoch 0: | | 16049/? [2:48:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 16050; scene = ['7fa3478bcc7f7267', 'ab81540435e624af', '16a6225598708d12', '0e431041305e5bf8', '3e7a68178efa113a', '06e5dbf49d6375ca', '1832ee4a98c400fa', '3181deb623385396', '2fb42c372e8039f7', '33dcb2d4a86f54f3', '274eaf2e87c03ced', 'd020de970fb5ccd7', '3af6d09c62b5667e', '9a2085418c9539b5', '35e1b2526c7fa237', '0451af163cb65d8c']; context = [[36, 76], [6, 67], [3, 67], [3, 66], [43, 93], [18, 76], [83, 148], [148, 197], [92, 132], [64, 134], [1, 65], [64, 127], [80, 138], [23, 87], [20, 63], [11, 76]]; loss = 0.015991 low_pass_filter = 0.300
+Epoch 0: | | 16059/? [2:48:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 16060; scene = ['059a508332a31e46', 'c39c1edf17138b7e', '58972799d0de46a5', 'd0b16c716a451af4', '8b83c145a4e49ae7', '03006bb797c50398', '3d917d948876dc1a', '013e344bb17fb03e', '92987f7d90ce5bf1', '176138df7be3f201', 'b109cf8edb8b0a43', 'f949e83df942d2b9', '55bcb8bc3179a0da', 'ab575a725ad6929f', '23640056e4b21902', 'da4a365fb20fa557']; context = [[0, 69], [44, 114], [13, 64], [4, 48], [14, 57], [6, 54], [0, 71], [18, 62], [44, 105], [22, 88], [3, 44], [116, 172], [17, 59], [4, 56], [11, 57], [80, 125]]; loss = 0.013825 low_pass_filter = 0.300
+Epoch 0: | | 16069/? [2:49:00<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 16070; scene = ['09b9087d9eb61d44', '28bdb921baafbfac', '9995607bda065076', 'efe6540cff894f10', 'c941a863c629e829', '862ba263417556ad', 'b2f9afce701e91a4', '15f2248c0e2dc148', '1f49c172e103f59b', '6e02d6ad65df4d55', '9800cc765e69da26', 'fd75d50b633e27f1', '8eb537dc07e5ae20', '6e10a046c2ed0765', '0eed4548041bea8e', 'd15f05d444df4144']; context = [[0, 58], [91, 136], [4, 69], [202, 244], [1, 43], [175, 240], [9, 48], [38, 93], [127, 193], [2, 45], [4, 49], [7, 76], [82, 134], [185, 230], [132, 203], [6, 64]]; loss = 0.014253 low_pass_filter = 0.300
+Epoch 0: | | 16079/? [2:49:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 16080; scene = ['54cf1f74450300d1', '601b0db72d32f000', '64a6562ba1fe1b76', '0135fe3bef30e6c3', '6451011f1fee84b3', '742911cc30936fe7', 'e9cf45d13b468385', 'f95e0898918ca26c', 'fa6ced4fa66a5584', '4a5b796fd4f12fdf', 'a94a86b19490f511', 'db7d9e8a2214ea12', '779f740981453935', 'bb210d97a67bbe25', '8e6f50914c157483', '7a8f70ff4a5b546b']; context = [[20, 81], [23, 62], [12, 58], [19, 62], [67, 117], [127, 198], [2, 64], [47, 92], [1, 42], [29, 99], [33, 87], [215, 261], [7, 48], [41, 95], [36, 78], [35, 88]]; loss = 0.015381 low_pass_filter = 0.300
+Epoch 0: | | 16089/? [2:49:12<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 16090; scene = ['433dca64f1849830', '86881d5b0782d118', '8d842be57d4be356', 'c0c758b51b097148', 'b9cea03dac60ed8b', '331ef24c06150099', '6c0ef012029b30f2', 'd88fa63cc32b7683', 'bf8ad1259257dc45', 'c2c61e3082375bd8', '32dc706b5277e8a4', 'f545152700b96263', '0edd08d42e5a2f9f', 'aae62c9143d59bf0', '2bf5c8f7b285bf5a', '1de0e7fd0503b25c']; context = [[190, 229], [2, 48], [3, 46], [14, 53], [63, 113], [189, 252], [114, 164], [61, 100], [9, 64], [95, 162], [13, 65], [0, 42], [2, 49], [1, 54], [192, 241], [1, 72]]; loss = 0.015836 low_pass_filter = 0.300
+Epoch 0: | | 16099/? [2:49:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 16100; scene = ['6cf39260df2e23d1', 'a7f7cabdcaf9c4ec', '0e2a7276966e584d', '99ea5cb9b803daca', 'fbf1d3c5991263b5', '4cbfaa52325775ab', '35158f6e65bf766d', 'fac20ccda46a7de9', '71d8d0a848667302', 'bbb8483976a16ac6', '084a1a3fac0ab7c3', 'b0189789fe6bc9c2', '9afdb3b4bad232a4', 'f798bf110e50ae05', 'd124c652f15dd5dc', 'df984cc069d0f1ec']; context = [[12, 66], [0, 39], [5, 72], [61, 104], [112, 164], [16, 63], [189, 245], [53, 112], [15, 80], [2, 45], [162, 216], [29, 83], [184, 223], [86, 152], [0, 63], [33, 73]]; loss = 0.011624 low_pass_filter = 0.300
+Epoch 0: | | 16109/? [2:49:25<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 16110; scene = ['ba04100dab2dad98', 'c81116e9985d9e29', '335986becc65b59a', 'ee9a284812163f19', 'ae5eca097e5aada0', '3b4634280ac06d31', '079e270123c80df2', 'd449a998f2a66c3e', '59944b3a84a894b4', '5f4855dff1edd516', '615cc977ddbc7fb7', '5ac7c4ce642f7b05', 'd56392a9d88c822b', '97c83a0fe6e01482', '3a0187dbeeea94c2', 'c8d798b5fddf3e82']; context = [[13, 71], [192, 262], [10, 52], [32, 86], [10, 61], [98, 147], [21, 73], [22, 76], [52, 112], [7, 54], [1, 64], [13, 54], [0, 63], [39, 78], [22, 69], [39, 93]]; loss = 0.012455 low_pass_filter = 0.300
+Epoch 0: | | 16119/? [2:49:31<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 16120; scene = ['6c1376dcc17bb97e', '29868e63ea832f53', '3655254eaa0af9ca', '23b5bacbf9559266', '1921f0aa77d99890', 'c6280da834b3cf60', '5f19088fcdebb2c5', '398387e65925128a', 'd9f4d087b09b5361', '05f3364c68280447', 'a210d76ab2d20a1f', 'fd736740ea4abcc7', '65cd58dfb9df8a99', '87ddb273a2668496', 'bf8d7d53329bfcde', '968e4bc6074896ec']; context = [[24, 83], [17, 77], [2, 61], [2, 54], [0, 58], [9, 59], [24, 90], [9, 62], [2, 72], [40, 104], [39, 93], [0, 43], [87, 132], [169, 235], [39, 106], [13, 77]]; loss = 0.012872 low_pass_filter = 0.300
+Epoch 0: | | 16129/? [2:49:37<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 16130; scene = ['39471e2adb4414ce', 'c3dded599b909ae2', 'e0e1b530ae7d694b', '407c2d31135c10d1', 'cae8b53dd676ac7b', '9c32aa3f41a35a4f', '5c9b1540859a5ba9', '7dd0a696ebe83c1f', '46878ea8715f1d72', '22d6b729b80a9bd2', '1e70c4bee94d800a', '1be6fc913f1d123e', '6416a6bbc12231c9', '7671d4a8e9d7a57f', 'afa22fdd147e61bc', '557bfbc51cc423df']; context = [[53, 107], [7, 57], [0, 63], [24, 69], [32, 100], [164, 206], [21, 82], [47, 114], [37, 82], [0, 53], [13, 81], [103, 146], [4, 56], [14, 54], [3, 56], [117, 162]]; loss = 0.013027 low_pass_filter = 0.300
+Epoch 0: | | 16139/? [2:49:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 16140; scene = ['75a0c4f62041e703', '11c5bb54d738e840', '7a5e04bee3dda37b', '7709a002c9a3b1d9', '643f2558eda66bed', '412e281a886da27d', '81675b61b99083f4', '1e4978fc28df3de4', 'b0fb6264159c7797', '8c781fc7e4fbe58c', '6bf4232300f914f8', '73a06caaa807e329', 'a9ed4a87c1c6b665', '3256cf35e6abfe1f', 'e660ad127a6d2fb6', '2d10a1bc4e9f5fe2']; context = [[14, 77], [7, 55], [8, 52], [149, 198], [17, 61], [60, 109], [112, 160], [36, 101], [118, 171], [61, 127], [35, 83], [38, 109], [28, 87], [4, 54], [8, 52], [3, 59]]; loss = 0.013173 low_pass_filter = 0.300
+Epoch 0: | | 16149/? [2:49:50<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 16150; scene = ['a79d2b4e742e01f7', '467e6cb4bcb7fc53', 'bd077bfc739857cd', 'fcb1af0ebe6926c7', 'fc8deaf763806c66', '14af89bdc75382ab', '43c4c89b3414a0fc', '252aa7d6ffb0422d', 'ae5c0c88c91ee5cd', '8a6a637d20b5c6d6', '55395ce6b8cbbe3f', '1d2224e2a16ea7af', 'dc987c9d1fdd26dc', '125c50d2d783325c', '5e156c6e69d2c5f4', '3c0d87cb48662854']; context = [[169, 219], [38, 82], [6, 46], [18, 70], [21, 62], [9, 78], [36, 91], [2, 65], [174, 240], [16, 67], [142, 207], [38, 78], [8, 54], [28, 69], [0, 42], [12, 76]]; loss = 0.012389 low_pass_filter = 0.300
+Epoch 0: | | 16159/? [2:49:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 16160; scene = ['4c8d86a39bb877a1', '161b017c6512e923', 'fe7c97bd3da46cf2', '6cf84fb3bdb648f9', '3e77b386619f10d5', 'cadb093187f1b8f1', 'd7cd6e776cfe1fee', 'd75bc06e3fc14333', '2f799acf6bbfcf79', '238a28384742ad6c', '7bb2a36d347cb804', '27943152644d42c2', 'f51bd3c5d50335b9', '1c0afb164be04052', '5817b7ccc056f135', '3a09888e3ad10f3f']; context = [[19, 83], [23, 91], [16, 87], [46, 88], [25, 68], [15, 74], [24, 76], [12, 75], [4, 57], [39, 79], [9, 70], [65, 126], [11, 64], [23, 78], [39, 86], [12, 55]]; loss = 0.012955 low_pass_filter = 0.300
+Epoch 0: | | 16169/? [2:50:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 16170; scene = ['5223b08ead451ba3', '932af4bdfcb8093b', 'c7af45d1166fe6cb', 'f5db0bad3ebe96e3', 'b24a35dc8884076b', '7bdeaa5ddcb319c8', 'f6894181dbf11e40', '6e1a2b5a4f427345', '57a51e1d7e1b80fe', 'ec4db803b81a0bdc', '91e6d5db234847dd', 'e407e438aa7e9206', 'a3623a3ebc370bbe', '0e877f29a64985f6', '03ebe8f7060a0adb', '6d924b8977d59cbc']; context = [[224, 270], [89, 140], [37, 76], [50, 115], [77, 137], [26, 93], [24, 71], [12, 64], [32, 81], [26, 73], [3, 61], [3, 52], [15, 78], [24, 80], [12, 70], [3, 66]]; loss = 0.012433 low_pass_filter = 0.300
+Epoch 0: | | 16179/? [2:50:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 16180; scene = ['92ecea59a68d3818', '6f81e13e86ca60e2', '104007f70e21a2fa', '11233628023da8b6', '824c1c262eae6e13', '5f47b4f31b346a17', '9b55210b36c9539a', 'de4a96ffa11a29bf', '953260b64d3ddf51', 'dd9a17d0096c2303', '38dfa3cb46d88c71', 'f74bd8804bc548e6', 'bb503977aa5aecb7', '410deefce9809696', '19b3dcdb5298d93e', '5224582141df0ed9']; context = [[1, 59], [60, 117], [55, 124], [16, 87], [0, 44], [4, 56], [34, 100], [36, 99], [13, 61], [127, 192], [2, 45], [203, 252], [35, 104], [6, 47], [35, 82], [0, 68]]; loss = 0.015405 low_pass_filter = 0.300
+Epoch 0: | | 16189/? [2:50:15<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 16190; scene = ['47357deda670dbbe', '234fd65bd1f99a1a', 'c69e635efb9af3b8', '6823bc058c79a7bb', '5c312ff4a32a368a', '0303844b61f8e7e8', '05a1a74b1d9019e7', '15e37857ba740b8e', '4c500c935499b76c', '791154aeb41aebe5', '0f334f40ba81525d', '9652388a27e34f6b', 'c0d9b8245553ea43', '12e365426a204bfe', 'd0c12240702616a7', '97404df843f6f12a']; context = [[59, 108], [26, 81], [16, 60], [127, 194], [185, 225], [119, 163], [7, 76], [14, 55], [3, 44], [1, 71], [4, 74], [6, 74], [144, 215], [17, 68], [21, 77], [5, 69]]; loss = 0.013469 low_pass_filter = 0.300
+Epoch 0: | | 16199/? [2:50:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 16200; scene = ['35e10ff7ba26bd0c', 'fd9c7be97215e846', '857f9e94ae854991', 'b4f3501bfcf7f1bf', 'b28e405bcbcfb7d6', '800a7f75d3738c1f', '8205f97f555d77b1', '7186ffd763a25cfc', '567d1b17a4e9803d', 'd6076dda77bf4667', '82b8775b9a02685b', '93c52643edbe225b', '212e45bab1774843', '2c108a559dee1618', 'a4040de9d995b7de', '8e63ac56ec509dae']; context = [[18, 63], [61, 125], [0, 59], [139, 202], [90, 129], [76, 132], [33, 75], [75, 122], [11, 55], [23, 69], [97, 153], [5, 55], [53, 119], [55, 126], [33, 82], [95, 140]]; loss = 0.013869 low_pass_filter = 0.300
+Epoch 0: | | 16209/? [2:50:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 16210; scene = ['687b773cc20cf2ee', '67642ba9afa1b1cf', '8a6f058ea1b60e96', '7e39fdb0eefece03', '3bdf8df6c39efd67', '2369b06fbf07fe26', '5cf8295fdd4dc705', '40aa327f7c331a8e', 'bc51d02a05fce838', 'aec362125b51a0eb', '43948e3fd4685146', '33f684f25c084fbf', '4d37415c5fff395b', '131ae53ccea8b6bb', 'bfbed04ac874444c', '5b93d87808d0588b']; context = [[25, 84], [7, 64], [47, 88], [2, 65], [46, 93], [15, 76], [0, 69], [27, 88], [171, 237], [48, 102], [3, 68], [27, 88], [34, 103], [15, 80], [117, 165], [83, 134]]; loss = 0.014059 low_pass_filter = 0.300
+Epoch 0: | | 16219/? [2:50:34<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 16220; scene = ['78d70ed425551787', '6ba37991f5126cb7', '7659d0bf3dee2d66', '402cbef11275313f', '3f1bb453d4373915', '03a510451bcafdcb', '499f2465f28c27cf', 'cd758c00644bcbd7', '194ab22b4bcef56d', '6be72e2c49d656bd', '999c1403cf825d60', 'c158b65df6e45293', '4c15cd3549a1b7d7', 'b656414bd62515a6', '1b2318aaef50a254', '840e53cc973b6f8f']; context = [[0, 62], [37, 96], [8, 49], [11, 67], [20, 66], [7, 66], [133, 179], [31, 80], [165, 210], [1, 59], [182, 222], [22, 85], [5, 62], [37, 99], [2, 41], [54, 114]]; loss = 0.012358 low_pass_filter = 0.300
+Epoch 0: | | 16229/? [2:50:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 16230; scene = ['eee22c9d84b79d89', 'a098e1d5715a4f8e', '6519a2e146bec2a3', '6b3f97ae13e1f6c3', '093704d9160df32d', '74e3e6de971edea1', 'a5991c36cbc1e162', 'c9cc80abd6a058cc', '7e39c1172230514f', 'fbd4913da8a907c2', 'f76b02964abe7d74', '828399209d5ffc4f', '5504701fb8520818', 'd0949c78a764e278', '4fe9b3f925a995bd', 'd01f2d23a398ab9e']; context = [[23, 77], [2, 41], [1, 72], [24, 80], [207, 275], [17, 85], [13, 80], [0, 45], [41, 87], [128, 189], [8, 47], [81, 132], [35, 102], [89, 130], [8, 75], [87, 140]]; loss = 0.013001 low_pass_filter = 0.300
+Epoch 0: | | 16239/? [2:50:46<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 16240; scene = ['7be7ccad58dd587c', '83a38e02cc9d4039', 'd50f7d8820c533e3', 'e26ed4e91add1489', '4e0b5a2a2a853c08', '672442727e3bc5e9', 'a53cae6550f95a38', '9620b0a596971473', 'e54d063b5cfe704f', 'd5960a4f8636bc77', 'ceef1805f7e75161', 'b54e0e016ab54179', '054a098d517cd27e', '8f2c852f336bfb3d', '084d2d0b34eb8054', '19f5a34b6f89863e']; context = [[94, 159], [112, 153], [55, 112], [7, 54], [41, 102], [0, 40], [1, 69], [62, 119], [68, 126], [169, 236], [29, 91], [80, 151], [32, 103], [43, 106], [61, 125], [0, 42]]; loss = 0.015089 low_pass_filter = 0.300
+Epoch 0: | | 16249/? [2:50:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 16250; scene = ['fb66bb9f72b6434e', 'd3f9fbcfe7972afc', '26a01fb0e2976fc4', '6f109232d9beb036', 'bfadf9a64d247858', '930341b45d10af4f', '32050bb188c50d62', '33510e5a8e9d598c', '8c4188b975dcb7f5', 'cc1bcd4f8463b2ee', 'a490e682ff266afe', 'ea8dd7144f70a1b0', '8caccc97dbc76d19', 'd0e701163b3237c4', '186236edb339f199', '6738f8412043189a']; context = [[19, 77], [3, 48], [15, 69], [38, 83], [40, 107], [24, 79], [235, 276], [29, 74], [80, 138], [12, 56], [84, 136], [7, 56], [31, 87], [67, 123], [30, 91], [8, 79]]; loss = 0.014167 low_pass_filter = 0.300
+Epoch 0: | | 16259/? [2:50:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 16260; scene = ['4308aa665d8a3ec6', '1bddc2cf6ebc1eaa', '0268535d4900a675', '5e9378fa1306fc04', 'a9f8537c208ea033', '1daf5ec0f73020af', '2e0332217673aa8c', 'de3fcbd40e0fcd84', 'fb2119204043e502', 'a5fa77b4707f4bad', 'b26be48a0dd1a901', '25714926505648a8', '2ce9ac6c4e301b30', '6334eb2a180fb8b5', '44d3592b6d997c07', '7b073ee15c14c7a7']; context = [[101, 168], [122, 175], [15, 61], [87, 142], [21, 86], [0, 39], [62, 105], [21, 81], [100, 171], [74, 137], [0, 46], [88, 128], [14, 84], [17, 86], [68, 132], [87, 157]]; loss = 0.012241 low_pass_filter = 0.300
+Epoch 0: | | 16269/? [2:51:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 16270; scene = ['a2b310636a3c8cd4', 'f22bffdad4d6241c', '00761c6dcec91853', '881f4e6f9198afcf', 'deaa81a6b3573224', '67d5829158318fb3', 'b9aaf2719970d409', '00a5cfccd6508e96', 'f37cf46fe1969cfe', '8bb6a52eb7546b9e', '6c03ecd2106e542b', 'a5a65324d2c3e20f', 'e25fdd12f8ddbe42', '3f275d1a2b75c460', 'fd8c58805a736806', '05eed8ae0ceee055']; context = [[6, 56], [2, 53], [137, 178], [171, 241], [1, 65], [28, 80], [80, 132], [88, 128], [25, 87], [19, 72], [35, 89], [67, 137], [14, 81], [1, 64], [100, 160], [16, 87]]; loss = 0.011334 low_pass_filter = 0.300
+Epoch 0: | | 16279/? [2:51:12<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 16280; scene = ['7c5ea27a35cf794f', 'af86e999648a354f', '2cd9451a8f8f8f72', '2bdc0fd8c339c3f5', '755629a58eba68f0', '492e813277026b30', 'be9a21133b236d50', '3fe19edea0cd9de1', 'e2f2a27bfce53270', '6870cf53e1c5b7d7', 'cb909af59c697361', '355a73d3e6f9f555', '6f8cef3a417b9297', '0a5015106764b29c', 'e9102c12371391d2', 'd6e831e0be07e220']; context = [[10, 76], [105, 151], [115, 160], [33, 96], [211, 263], [41, 88], [4, 53], [111, 154], [62, 120], [208, 248], [3, 74], [0, 39], [54, 107], [6, 68], [198, 262], [154, 212]]; loss = 0.012796 low_pass_filter = 0.300
+Epoch 0: | | 16289/? [2:51:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 16290; scene = ['2b023270623346dd', 'e6e8cc906c35e6e1', '1f2195c33874e2a7', 'a46b24193229d8c6', 'bb2a6aa230389112', 'c984f50b210590b4', '6e7024d848c715af', '80b59942f390e232', '662c6e07e281ca3a', 'e59a64cfbd22e6ad', 'ef0ba6c772a7582a', '8595e050624067b9', 'bef65560c9569e26', 'ca0906c639993ffc', '92bc19473fe0069c', 'a74868eb24abfcbf']; context = [[18, 83], [1, 47], [17, 68], [28, 98], [41, 95], [55, 111], [4, 44], [0, 53], [21, 91], [41, 110], [4, 70], [59, 120], [8, 61], [105, 167], [13, 82], [2, 45]]; loss = 0.016995 low_pass_filter = 0.300
+Epoch 0: | | 16299/? [2:51:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 16300; scene = ['aff9cabf79a539a9', '53aa005c71a72d1c', 'a4d680b36facda6e', '9652b745c529aa40', '6618135c649e0ac7', 'f324bb3c26b626a9', 'fba8aa21f45125ba', '91b9589fdcd3ea5b', '97b50b43f62f343c', 'b6ed3946deafac7e', 'c63798be59424d16', '8c4c2c2ef15f7e54', '2c2893932017a26b', 'de0b5f163df22bac', '3333768ade9bae8f', 'a44aac7c4a36172d']; context = [[33, 74], [190, 253], [11, 81], [71, 132], [1, 46], [8, 79], [26, 80], [100, 158], [9, 55], [8, 53], [34, 73], [121, 188], [24, 69], [15, 82], [62, 119], [0, 39]]; loss = 0.011647 low_pass_filter = 0.300
+Epoch 0: | | 16309/? [2:51:31<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 16310; scene = ['3f2cb8ac0da6c74e', 'd33388f0d226900e', 'c89112df6cf82777', 'a3a3b1ddde35d0af', 'c4b0e251f6f379bf', '8b303d2bdf4ff564', '2de8c4e05ecaede8', '5493a576b9b38a2c', 'a7ca9f0764adf78e', '4c247f950b8fb4da', 'afe60df4177475af', 'e204d13ff4cb3a75', '5d827aedb6743c14', '6ca53d2237ce8190', '06b9932e33d2b0c2', 'f39a34c3d2120f0c']; context = [[18, 57], [10, 52], [68, 121], [129, 194], [4, 68], [54, 99], [59, 129], [2, 73], [10, 80], [6, 67], [132, 191], [22, 66], [2, 41], [89, 130], [56, 115], [25, 96]]; loss = 0.014561 low_pass_filter = 0.300
+Epoch 0: | | 16319/? [2:51:37<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 16320; scene = ['1753497ee9fccbf7', 'b7141acdd9139e88', 'd093d4a07046cdb9', 'cfdd9296d662ac40', '401391471875c7de', 'fc34337e27fc0368', '620587855f58dc37', '35fa6a277ead291a', '8b1e6f0a13a3e381', 'd792c89551ca8937', '6fd4fa60b47978b7', '316bad0f8c8b8cc1', '32cca1e716cb453a', 'ed61b288e9b09a03', '08866625f34ea7da', 'bd8c187bb1893a47']; context = [[24, 88], [23, 84], [41, 96], [70, 114], [35, 89], [124, 165], [11, 58], [123, 173], [0, 72], [64, 114], [15, 75], [18, 82], [2, 51], [43, 104], [52, 96], [111, 166]]; loss = 0.011577 low_pass_filter = 0.300
+Epoch 0: | | 16329/? [2:51:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 16330; scene = ['1ba47f3137b638ff', '4d80b0cb97667fb5', '43ed7dd9031ceff3', '47746ad5be519fb9', 'aace7cb366015784', '877ae8de01283e41', '3602ae51d17d2eae', '9880935a52f04afd', '01eb6c8433894c10', '82ea4274eeb55594', '55df23d234b7205e', '2571e8a5ec86f29a', 'acdbcb28dd49c56f', '4dee60242f765922', 'acbcac55198d0a7c', '33ed58f9ad7d3603']; context = [[11, 62], [1, 50], [3, 62], [21, 63], [10, 80], [40, 109], [199, 269], [98, 160], [16, 79], [7, 74], [33, 73], [91, 141], [203, 245], [54, 117], [15, 55], [16, 87]]; loss = 0.015122 low_pass_filter = 0.300
+Epoch 0: | | 16339/? [2:51:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 16340; scene = ['a0a6cc4af28f401b', '6faa8a388e0dd2a9', '21a783ae4c599ed2', 'a26a41da71dd633a', '23c47616110f2d44', '2727fa34d2241ecc', 'ef8677a5404a270b', '178db7cc64cc5726', '5df5b7738e92dce6', 'f89dd1b50b7d853e', '34b9e709928fcc5d', '4f8c83c7b3d9aae2', 'd8960f4414dc2fca', '18b09374b465266d', 'c5d8bd6e4ed6d1ed', '93501b3f6ff7be70']; context = [[26, 87], [15, 84], [0, 53], [196, 259], [22, 64], [34, 74], [30, 70], [41, 104], [195, 247], [12, 56], [32, 77], [67, 112], [27, 71], [91, 137], [128, 191], [21, 73]]; loss = 0.016248 low_pass_filter = 0.300
+Epoch 0: | | 16349/? [2:51:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 16350; scene = ['0936ae04b1b95f1f', '167a46f4392398b0', 'bb145647bab18424', '6f3192180e6c9291', '487fefd85739e993', '197cb85cbf3263f4', 'ee5b4ebbb76697ac', 'c43ff457e5015148', 'b317c015d408d7c5', 'd9e0408022cf11f0', '4ef750416795cd71', 'ccb63858c92da934', 'a6787dcd34b17cfa', 'e8ed0edf1828cc15', 'c57d46c213a2a46a', '4025118849bd1fc9']; context = [[3, 60], [7, 67], [87, 157], [40, 89], [14, 55], [0, 51], [68, 132], [4, 67], [45, 91], [20, 79], [8, 49], [4, 50], [43, 93], [1, 65], [30, 80], [18, 60]]; loss = 0.012059 low_pass_filter = 0.300
+Epoch 0: | | 16359/? [2:52:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 16360; scene = ['85a060a0b916ee87', '610d6f3a3f16c492', '194c15e39ebf1c3b', '939922a0254a05c5', '8db3a405c4842cd6', '55aa4a3cd7318e2f', '6dd2c631caf47e6a', '8b40751bc7ae46bc', 'e940cea9e3580353', 'becee945233fcda0', 'ea2618e237cec005', '25a8f9a3da6ab499', '101034bac72fe819', '8ad7f684b4dddb11', 'f1ad914802aabaf2', '49c75dffe1ec0cc7']; context = [[0, 47], [37, 78], [0, 64], [26, 81], [16, 88], [0, 46], [0, 52], [11, 81], [125, 189], [1, 64], [9, 71], [63, 124], [94, 154], [109, 171], [6, 62], [16, 67]]; loss = 0.013738 low_pass_filter = 0.300
+Epoch 0: | | 16369/? [2:52:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 16370; scene = ['f17934070e9e2ae6', '0550fc77f285b0ae', 'bdb7ab53ed03a3c6', '30f8149501a9caa1', 'f10435a1a5438283', 'd19a0946a12bd90e', '5f57604eb71f1dac', 'cc8550b9fff2f927', '6a01e9eeb577129c', '5e263ba95983770e', '2074f221af3f9433', 'a640bb4bd9e593c2', '8bc1354abb4655b2', '8fbc71047643e827', 'faf629d360a6ca34', 'be494202e4c9b993']; context = [[14, 81], [15, 59], [1, 62], [32, 78], [7, 69], [10, 54], [25, 88], [88, 128], [197, 237], [33, 89], [67, 122], [184, 255], [128, 180], [194, 255], [44, 98], [11, 52]]; loss = 0.016314 low_pass_filter = 0.300
+Epoch 0: | | 16379/? [2:52:15<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 16380; scene = ['d737a4d00ba9eb96', '03f414ba778a0d1f', '245351b1b14b6bb9', '6a15ba68d651fe15', 'e6f956faeeda3603', '0ebfc63e0dbcb1e6', '8467aaa6db783cbc', '28c643e2cd91f465', 'aad75ba6e6c3304d', 'e41a92954c7e94eb', '0446f3522cce8104', '8856d6c682a40bf8', '5a4a1a47759a6c0b', '4e442aff3cae4436', '1a7a454827491346', '9b45d2ca1091393d']; context = [[54, 114], [7, 65], [37, 87], [67, 112], [28, 77], [20, 85], [16, 75], [3, 63], [5, 45], [0, 43], [4, 59], [13, 52], [56, 118], [206, 268], [3, 75], [105, 164]]; loss = 0.015214 low_pass_filter = 0.300
+Epoch 0: | | 16389/? [2:52:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 16390; scene = ['d37d4805cda16efd', '486d2231cdb1434e', '8c9ddc7f10e09af8', '80ef5caf2cc342db', '54a50da60dd74795', 'e49f051e87f5d4d0', '182135a064f4dbe1', 'fc9fd50c008ec277', '504a6270d098ead0', '212b0a2dd86cce12', '78bf163b6636f51e', '7eb04b1de022a341', '69711e911821d37e', '06651a8cfc81ecd0', '378755cb1a3356e5', '9a5226d734117ae3']; context = [[4, 75], [16, 81], [12, 82], [113, 166], [124, 185], [0, 39], [9, 80], [18, 64], [73, 120], [15, 86], [156, 218], [1, 64], [4, 48], [47, 93], [84, 144], [12, 80]]; loss = 0.016211 low_pass_filter = 0.300
+Epoch 0: | | 16399/? [2:52:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 16400; scene = ['da9ad3d0fc78bf78', '7836200c75b0e42d', '2ae079dcad63c1c1', 'e93bb5f352f12779', 'f1847f1633c71974', 'b7d0632fc6b2d46b', '02ce170824e128dd', 'b9e20c6ca2630cad', '1f5f168725874f3e', '41454feb44f3cc7f', '91f3903b83e314c9', '2371de80f56e9707', '46fde3a67644e92a', 'db1fc015ca238790', 'ca842b977ede6e8e', '9c2b47a9a5a229cd']; context = [[136, 188], [3, 70], [136, 186], [52, 106], [6, 70], [178, 229], [160, 218], [32, 104], [18, 59], [4, 73], [79, 129], [60, 109], [0, 45], [37, 108], [9, 75], [0, 72]]; loss = 0.016215 low_pass_filter = 0.300
+Epoch 0: | | 16409/? [2:52:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 16410; scene = ['7a92426dbce9e920', '69f225ab505cfaf5', '2315795cf16ab002', '88c027f2e044a945', '4bb641c3e5c902e4', 'ac1670c77c47f6a9', 'e2218bc3111b76d7', 'ac0f95664c3961e1', 'f04477958cf96d00', '548abd0878bfb231', '1725fa1cae244fa9', '7ac6fe6b418993b8', '941e4f4114b4f932', 'e95b823c237872bd', 'eec912462d5e95c6', 'e1d1abad70294639']; context = [[1, 67], [18, 58], [86, 151], [114, 181], [203, 243], [22, 80], [18, 66], [3, 58], [24, 63], [0, 45], [0, 39], [93, 137], [48, 94], [85, 149], [56, 123], [1, 64]]; loss = 0.014918 low_pass_filter = 0.300
+Epoch 0: | | 16419/? [2:52:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 16420; scene = ['dd519a6b576ce538', '1d2aa82023890bb8', '7503e0fc88605e43', 'cf1150104e980262', '529d6867b661f694', '8ec569a60a2574c4', '27e964e81146cb3c', '44c6cc560e88c7c2', 'e69dba4f460252f4', 'd7b9f499f7000d79', '160a5e836891dc9a', 'bb54979865b17a41', 'a2db1a09f3dc926c', '1d8c476a1d7ba676', 'e2487e8621c1d42b', '276ae8f6b469f3b3']; context = [[30, 85], [16, 58], [5, 48], [185, 248], [85, 126], [79, 141], [50, 97], [42, 100], [4, 57], [209, 275], [44, 84], [0, 58], [9, 70], [2, 66], [26, 96], [133, 184]]; loss = 0.017816 low_pass_filter = 0.300
+Epoch 0: | | 16429/? [2:52:46<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 16430; scene = ['772dd9b939577403', '6572700c770dd357', 'ccbd198f234caeea', '36964406bb9b6ce5', 'bcc1d58fad331d06', '60acba38edb03894', 'd931a9193e2395df', '376c7ff59babc257', '95d57e0a5bbc6822', '82fb5516a6e5c071', '0bafd80c9e2ae41b', '28a4394270ccaa8d', 'ba17dc92e29dd4b7', '81f4fc498ed094e9', '4dd74d4d53abb812', 'de1d76ea559bc309']; context = [[5, 77], [23, 76], [8, 60], [5, 61], [12, 57], [12, 74], [110, 165], [26, 96], [14, 81], [56, 115], [39, 80], [24, 66], [65, 108], [36, 83], [66, 108], [8, 70]]; loss = 0.014046 low_pass_filter = 0.300
+Epoch 0: | | 16439/? [2:52:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 16440; scene = ['f0652b2d28100573', '245538607cbf05f7', 'cfe1bae9cfeeab1b', '831ae8dd432751f5', '895921f7a73776fe', '1f239c3d12dd2cfa', '891d946e02df2fff', 'dd5141d992727508', '3b21f48e23e4917f', '5e323756316651e4', 'b12d380a731ee016', 'd557059edc4a3cfb', '86501c30562af92e', '07f09a928375d0c6', 'f05c6680913f8c6a', '51cf713bb5c710cc']; context = [[196, 241], [65, 125], [50, 105], [10, 76], [89, 139], [2, 53], [12, 72], [9, 59], [113, 168], [48, 101], [47, 118], [49, 118], [29, 77], [99, 143], [8, 72], [8, 72]]; loss = 0.013536 low_pass_filter = 0.300
+Epoch 0: | | 16449/? [2:52:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 16450; scene = ['226874ab1ea7f69b', '7b254b7815997e17', 'e2bbf0c2c7518587', '4035564ed53d2c53', '260e2c701212a8cf', '476a51fb78fa80a2', 'df4b59655df82df1', '05215705c221beca', '14fa2654e6e240be', '4bff0cd03121c67e', '9ce57fe58f8d3831', 'e235fa323903deae', '1022401806f87f5b', '3dcc35e27db73ded', 'e9b39d0cd4903c75', '99190e8fc37ea636']; context = [[39, 97], [16, 61], [4, 61], [35, 90], [3, 75], [36, 75], [130, 202], [211, 263], [45, 104], [0, 55], [41, 82], [9, 58], [16, 78], [8, 65], [0, 39], [109, 152]]; loss = 0.010928 low_pass_filter = 0.300
+Epoch 0: | | 16459/? [2:53:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 16460; scene = ['6897a323d67edc41', 'c1a04c25ccb94aee', '3a5fdf1030d55af7', 'd69d8870df582b0a', 'be5fcdb076d77d55', '874990ab5347c13b', '1d8cdf272844d0e7', 'deee1e6a3622e81f', '8fd375312458cd70', '1e5630a1bf806a70', 'dd633956afe48009', 'fa55a5c4e928c76e', '9337e5ae3d6f785b', '39dc11e7396fa5f4', 'efd3e783df28b0b3', 'cbb5cea13c2693fd']; context = [[5, 59], [128, 195], [1, 43], [9, 70], [17, 60], [187, 246], [20, 91], [56, 113], [72, 139], [40, 106], [32, 71], [135, 203], [13, 68], [52, 115], [20, 81], [1, 70]]; loss = 0.012505 low_pass_filter = 0.300
+Epoch 0: | | 16469/? [2:53:11<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 16470; scene = ['9d40ec668e9b56e7', 'd708ed30abecca79', '0e93297772b0b4cf', '33971d13212f9fd3', '5f89ae8d48b0cfa4', 'ca08c3e06b14333b', '797e58d60147a25a', '91530ea8f943b8c5', 'bc514648b0938a1a', '48252dbf46e0db67', '7c925f53e1814ec2', 'b9e874c502b1faf3', 'd7297cc7a2f3e7e0', '13729e96ff2f345a', 'b82d41c62606a4ef', '6bc3f69c7c3566e1']; context = [[9, 75], [8, 66], [21, 64], [5, 65], [32, 98], [47, 96], [14, 71], [11, 60], [10, 73], [6, 45], [42, 97], [63, 121], [0, 69], [43, 107], [15, 76], [13, 53]]; loss = 0.016690 low_pass_filter = 0.300
+Epoch 0: | | 16479/? [2:53:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 16480; scene = ['298dace68088b42a', '0196a7eaaa531630', 'bcbcc0c6dad789f3', '560319076127d040', 'bb7d9f42b30abb06', '300e96e5c068a90f', '42c7c30a9d8b0fbe', 'd0e3868f1ad7dc32', 'fe4e3ea09f7354a3', 'fcf176d504f6568b', 'f0801818ae8a34bb', 'c840e5b4075f8b10', 'df05970fd15dc7ea', '48fbc623ea9e82c9', 'd523e761452a2ad6', 'dc5fd47e44137f59']; context = [[1, 40], [36, 94], [3, 49], [23, 91], [9, 53], [48, 103], [1, 43], [215, 259], [23, 78], [49, 88], [9, 61], [1, 44], [53, 106], [2, 46], [0, 53], [135, 205]]; loss = 0.016215 low_pass_filter = 0.300
+Epoch 0: | | 16489/? [2:53:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 16490; scene = ['cfcadf0fe447c04d', '7418538ade81e503', 'a126745e68e4fb16', '3cd73f5f79d0989f', '1f9c765582d1ffac', 'ee3f3bcb1009b7b9', 'b86430392968f970', 'cbd3d399620c0c8b', '5e8bff39dc5bab67', 'c40eccb3fc4c29da', '0a3f340cb783c83f', 'b3d77aa21637ed06', 'b7b3c6a2d1d6dc61', 'e070e207b2a27686', '86c2513b349c1bfa', '58dd91617d378543']; context = [[57, 100], [36, 105], [135, 196], [5, 61], [60, 130], [3, 49], [8, 65], [4, 55], [22, 69], [123, 170], [14, 81], [4, 56], [55, 119], [83, 132], [57, 100], [17, 77]]; loss = 0.012885 low_pass_filter = 0.300
+Epoch 0: | | 16499/? [2:53:30<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 16500; scene = ['1307574e6ab07d0e', '8f93ab80df48a143', 'bf6c3bb4273bb482', '645bdd61301d7e81', 'ec1978c494e59410', '78eaba283994c8c6', '55eadd0c79f625ca', 'e4803d8f2a220748', '374735fff335b3de', 'addb6727e814007e', '95b7bd448ec6ebb2', '86766716058a8266', 'e0f0df35316ac658', '48ba5d3eba7f107d', 'c3f8b2fc27c49afc', '0b2b86827d4d6a00']; context = [[228, 275], [76, 133], [42, 89], [32, 78], [39, 82], [24, 65], [201, 272], [0, 59], [222, 278], [24, 75], [1, 54], [185, 239], [80, 132], [26, 68], [113, 178], [9, 67]]; loss = 0.012657 low_pass_filter = 0.300
+Epoch 0: | | 16509/? [2:53:36<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 16510; scene = ['95b37383d90fba88', 'b373737df3e74477', 'e8c5fdad60e58a8f', '7157a08b4d909e22', 'ab000b4f32ced111', 'd1836ce4e817c104', '920b80196dc8b79a', '9aad28b8c911c8e4', '1bb36d50ab9fd353', '2ba6db31b81feaf0', 'd1749b42c2b6082d', '554eb9150ea16515', 'bbdb60e0097e9ced', '322460caa7eb4589', 'c6dc64c34810c21a', '672f32d57b96567a']; context = [[43, 107], [12, 59], [38, 77], [7, 61], [6, 61], [17, 58], [1, 50], [73, 138], [40, 88], [25, 64], [31, 73], [44, 94], [45, 104], [79, 149], [18, 63], [25, 64]]; loss = 0.015960 low_pass_filter = 0.300
+Epoch 0: | | 16519/? [2:53:43<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 16520; scene = ['833a186412602e0c', 'e62a1879a015a39c', '5c0ebf927a51f486', '926ea8590afa806d', '1b5dd0e05a2659e8', 'c0ea4f07034baf27', '914d28b1a6619d56', '87c15bdc99de8b19', '666fbacf3d76fb89', '3172fe2f7794b857', '82fb4185a92b98a2', '17657ab0d679384c', 'db4e2323657a6604', 'be58ff6a05db979a', '4e7d8ed51095038f', '40e959fe748bd12e']; context = [[3, 64], [56, 114], [1, 42], [57, 104], [1, 44], [18, 68], [34, 102], [19, 58], [53, 102], [3, 44], [13, 77], [220, 269], [7, 72], [18, 77], [44, 89], [16, 55]]; loss = 0.013550 low_pass_filter = 0.300
+Epoch 0: | | 16529/? [2:53:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 16530; scene = ['c4a0a83c57a88c2c', 'b620ffb62a299ec1', 'e01aaf7d5a80b5c0', '87e1fbed34285e0a', '63a8ae5fdd8d4ef4', '0e6c59e9cacbe147', 'b1f1c12f0c454973', 'dfbdfa2009b1c628', 'ca8c1158ff1714b6', 'acc6c20b665c730b', '90ae5b68ddc59938', '0a8e96b2e5945946', 'a6c74ca21a415525', '06d407e4d8af8407', 'fbe2265ed5669a2a', 'cc4f72cb5178bd1d']; context = [[15, 69], [4, 75], [68, 107], [23, 84], [23, 78], [31, 71], [22, 70], [68, 140], [143, 206], [10, 58], [74, 115], [27, 88], [22, 87], [22, 82], [27, 77], [15, 66]]; loss = 0.018000 low_pass_filter = 0.300
+Epoch 0: | | 16539/? [2:53:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 16540; scene = ['4858ff2c0bf9c819', '3684a63a1d0cc394', 'ec354b701f22c27a', 'c9e4962b839dc968', '22dbfd84cd374af4', '92a9932b7fa61527', 'd3d2180b3ad731a7', '8970ad7f03d89ca3', '3d82d29b58bba8e7', '4eec80e0fb6a8ac4', 'ce9deeefe10c3249', '66d1245890c6990f', 'c7844a02eecf3a20', 'd3e34d281b05cfbd', 'cbf08a650761cb10', '4c206a668c76614a']; context = [[27, 99], [1, 60], [21, 91], [24, 63], [111, 163], [45, 101], [100, 146], [3, 49], [32, 78], [189, 238], [26, 76], [35, 99], [58, 109], [119, 191], [171, 230], [9, 54]]; loss = 0.015447 low_pass_filter = 0.300
+Epoch 0: | | 16549/? [2:54:02<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 16550; scene = ['2366e6b691388a82', 'f8ae7d20daf890f2', '04d616768a5d52af', '650055898f2850c4', 'c2b18a2dc136d695', 'e47aac0e2c495c84', '1a3e5a1b44f8ff30', '779e17aa920f1870', '68fcb7657464a25c', '044648c2e23508a4', '2431c725d7485a52', 'fcedc21510273dd8', '01fb0d2034e3e06b', '18560ebd5c866fe2', '5a40086fa7e40038', '3dfc8ac22bab5f07']; context = [[92, 164], [2, 57], [22, 74], [89, 133], [176, 239], [0, 46], [28, 81], [46, 101], [4, 58], [27, 95], [6, 61], [27, 73], [2, 70], [17, 89], [26, 77], [29, 68]]; loss = 0.012431 low_pass_filter = 0.300
+Epoch 0: | | 16559/? [2:54:08<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 16560; scene = ['134ff951c2283cc8', 'e3a3523db7dd2842', '744f36678102a07e', 'a9999b99dd4691cb', '8b3850a90cb424bd', '8e9cd984cd976e60', '303d67a3e601258d', 'b9e874c502b1faf3', '48252dbf46e0db67', 'bc514648b0938a1a', '13729e96ff2f345a', '1e4c7b6e4016e7f2', '6de65618fef3a792', '6bc3f69c7c3566e1', '0cb5d3ad6b3a52b8', 'b82d41c62606a4ef']; context = [[16, 72], [4, 51], [13, 60], [35, 95], [165, 218], [28, 68], [7, 78], [33, 85], [3, 42], [22, 74], [21, 79], [5, 67], [38, 103], [0, 68], [214, 263], [16, 56]]; loss = 0.015524 low_pass_filter = 0.300
+Epoch 0: | | 16569/? [2:54:14<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 16570; scene = ['59944b3a84a894b4', 'bd0c6bf55d5f81a1', '0f917244fa7a3d9f', '5f4855dff1edd516', 'ed7099c368424996', '4303746d8f23f16b', '95c59cc52adedbc4', 'bbda226808fce57c', '23c1f863919d9a5a', '4f6984c28d90eb09', '1f790fe95e80c148', '8d8bd167d9a3ab72', '9af777f2db0a09a8', '2a61ab6496ec9188', '4ac2729ea26878fe', 'c90733af6a8fc29a']; context = [[56, 124], [64, 135], [99, 148], [16, 76], [0, 71], [15, 72], [78, 126], [47, 117], [179, 240], [10, 75], [148, 192], [76, 130], [2, 47], [0, 39], [149, 214], [34, 76]]; loss = 0.013404 low_pass_filter = 0.300
+Epoch 0: | | 16579/? [2:54:20<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 16580; scene = ['bf5e568f2fd566c8', '19ab113385187a33', 'de7aa7d53bd63a7b', '111f2a26b60fd1e9', '8a0c33f92ff9d399', '950264396c5a0767', 'abfc1e505cfcaa93', '75d9311ec0702e25', 'ce8a19e8c1247898', '11488bb89b8c9ca8', 'ea2f644e1ae2e814', '2e3b604fa392c6d9', '29bafea4e1c2b47b', '3c52aba6279f277c', '950e5a6e0fb54d44', 'f48239bf83764a8b']; context = [[15, 81], [119, 171], [35, 82], [4, 72], [7, 53], [86, 151], [40, 107], [0, 57], [74, 139], [17, 78], [6, 56], [58, 112], [2, 42], [47, 112], [2, 48], [4, 55]]; loss = 0.019825 low_pass_filter = 0.300
+Epoch 0: | | 16589/? [2:54:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 16590; scene = ['0f710827f72bbd64', '9f9a401b7839cec6', '71f80ab4e9cbf2f7', 'c9aff096959107d9', '4d09e3caa445622d', '5b7c70d9fd79a963', 'e77831c1b48a833a', 'a576a801c7d2ff46', 'f83ed991c4d270c8', '9f9250ed1d854f72', 'a77f347b88137277', '0d49d0970586d7e0', 'bdd08755eb0975e0', 'be214e004bc8d513', '057da8262a5b4f36', '1b4c8f4eec6b6036']; context = [[78, 127], [67, 110], [8, 72], [18, 86], [5, 49], [41, 84], [3, 49], [88, 151], [8, 80], [44, 88], [2, 43], [27, 70], [18, 86], [57, 113], [82, 132], [9, 54]]; loss = 0.015180 low_pass_filter = 0.300
+Epoch 0: | | 16599/? [2:54:33<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 16600; scene = ['555b04ec3e3fc710', 'a8b56fce90c48de8', 'c58bf448b40e390a', 'd5d35aa9abf0a89f', '03a2877625af699f', '2da26f0219156948', 'd5d88e90c900def8', '23668135f32e0126', '9ad3892501064847', 'b29d69f0e6f21178', '223679033769414b', '74df5a4e6faaa8f3', 'd2ac2d1d70334de7', '596b334e38aa8db7', 'be6403b9d3c63c88', 'b6c3666142848b41']; context = [[25, 91], [46, 91], [8, 69], [124, 187], [3, 47], [70, 133], [104, 171], [9, 62], [10, 76], [61, 105], [10, 68], [152, 204], [57, 121], [0, 70], [64, 111], [35, 78]]; loss = 0.013529 low_pass_filter = 0.300
+Epoch 0: | | 16609/? [2:54:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 16610; scene = ['2d5a4f21da8702a6', 'bd92bb36b1026a0f', 'e20055fae4f5d668', '83d958616822ae27', '8b0b551bb5fc559f', 'af61461e40b625da', 'b23030ad8922e34d', 'c557903d54996163', '9599db2dd3e25c9c', '44c1d7d26fae31c6', '53daf8c5574537ed', '1d9e3cc9ee9036fb', '20f3647b9c4356a9', 'e0c462f81b501a0f', 'a4cc10dede2eba84', 'ad75e36b74f6b033']; context = [[12, 62], [62, 112], [12, 64], [176, 241], [0, 58], [15, 79], [24, 63], [13, 61], [21, 82], [9, 69], [1, 60], [31, 77], [31, 92], [21, 72], [0, 46], [10, 55]]; loss = 0.015986 low_pass_filter = 0.300
+Epoch 0: | | 16619/? [2:54:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 16620; scene = ['effce0ce5825b468', '482cd2b0a783cbf5', '6fccd935d73e8b39', '31ae835b2eb61e9b', '377b8df58b1bcea4', 'a0762a191cf2e312', '47e0a224d2c6ebe6', '8a1ef9f573a5861a', 'b90f926bf47cd9d1', 'e20a4f5c2784fef4', 'db2911d71cd2d389', '826f1e427bcb4f78', 'dd1ebbbc32276ec6', '6ede7a3926290779', '9e950a8db19553b9', '7c0fd9b8cbdcdbcc']; context = [[19, 63], [21, 68], [71, 122], [121, 173], [161, 214], [57, 110], [30, 76], [88, 140], [2, 70], [51, 118], [70, 121], [5, 68], [18, 89], [28, 77], [171, 235], [49, 121]]; loss = 0.012639 low_pass_filter = 0.300
+Epoch 0: | | 16629/? [2:54:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 16630; scene = ['68173846a9e6a4ee', 'c4bdccc08c477c83', 'd934b35f87276390', '31922770533c1af8', 'f51448ecfae30d68', '315fee37794761c2', '9f9adda8c2f8d43f', '1261f7352c1da2ac', '67b85bfc841a71d7', 'd252ca12cb81ba14', '3e5b496f2549f58e', '63833dc00510be0d', 'ca5b332151e25772', 'b597201478c9181a', '63c72633b167e05f', '817922fc5c11a43d']; context = [[105, 165], [33, 79], [97, 156], [34, 95], [16, 84], [7, 66], [120, 159], [8, 63], [160, 225], [17, 70], [120, 180], [62, 104], [12, 67], [35, 92], [116, 156], [5, 61]]; loss = 0.016364 low_pass_filter = 0.300
+Epoch 0: | | 16639/? [2:54:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 16640; scene = ['6dd2c631caf47e6a', 'e940cea9e3580353', 'becee945233fcda0', '610d6f3a3f16c492', '8db3a405c4842cd6', '55aa4a3cd7318e2f', '693e794fcaa48264', '63ccdd61742e8f26', 'a1b5883e8c97b20d', '172d7e9dc2acbdce', 'e68096411dbcfb80', '2bb1996e6f083abe', '341e1150354d1dce', 'e2f119aa9500df78', '5d84faa767c55ebf', 'ea58ed9094715198']; context = [[4, 50], [36, 91], [23, 67], [4, 75], [166, 226], [2, 42], [0, 51], [71, 139], [4, 72], [23, 67], [28, 96], [20, 79], [0, 39], [2, 41], [40, 106], [114, 174]]; loss = 0.012283 low_pass_filter = 0.300
+Epoch 0: | | 16649/? [2:55:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 16650; scene = ['24dc1ce125c61981', 'b5704443d4b5ce04', 'd3de86460a44d56c', '1163ef0ceeaa9db6', '21f7836feb1b242b', '666f5a578d31281f', '5138570ee9fb39f8', '50efd0e453568e13', '8d802f615e1d7cd7', '5a845bcedea8b147', '2345c1b970fc7ed4', 'a04482e878287d98', '111edff73abfa215', '506c3c6a37df296b', 'cd758d9a770e3004', '2075f9a34df7009f']; context = [[2, 69], [72, 130], [70, 128], [150, 196], [25, 73], [34, 81], [0, 43], [12, 56], [25, 91], [31, 102], [7, 67], [31, 103], [39, 80], [127, 181], [28, 74], [26, 81]]; loss = 0.015678 low_pass_filter = 0.300
+Epoch 0: | | 16659/? [2:55:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 16660; scene = ['97b70b6070a49659', '44e74bca2b98db51', '3a6669692b24830f', 'b7c55a4c45537ffc', 'fe1e39063abd5205', '62b03f6fd6216b27', 'e9244576811181ef', '122b005562bd0201', '0374efa8281afb1d', 'b9ee83bd3edf87c1', '8aaacc30c07b6f3c', 'eaf53403cc8fc00f', 'a8cb13d02b8d08a7', '0db9e62369719bc9', '213f00b1b81a1208', 'fda5437ee76b48fd']; context = [[102, 150], [30, 94], [28, 75], [10, 78], [4, 73], [2, 63], [128, 173], [13, 62], [16, 83], [14, 70], [16, 65], [83, 124], [122, 180], [0, 50], [9, 65], [57, 97]]; loss = 0.011737 low_pass_filter = 0.300
+Epoch 0: | | 16669/? [2:55:17<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 16670; scene = ['d9a1e79bb0bd315b', '16e1c44254f04e8d', 'f1915e317e0313a1', '524e550992aa6e60', '6187332401a328eb', 'a3a5e373d876db0e', '7300b62195688898', 'c1f32a7a7ec37d39', 'ae5a3df26e16754e', '2eacf9db1843546b', '4f202bd24cdf8dee', '0f93fdb52c6933cf', '43ff97dde0957aad', 'c495f01f294333ee', 'a2132eb3ce0e461e', '75f1e3480cb011a2']; context = [[25, 66], [14, 86], [11, 50], [68, 115], [28, 84], [49, 110], [94, 136], [2, 58], [120, 192], [4, 63], [74, 143], [42, 108], [3, 70], [4, 58], [91, 150], [2, 47]]; loss = 0.012933 low_pass_filter = 0.300
+Epoch 0: | | 16679/? [2:55:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 16680; scene = ['bf0b8493fde40469', '06d059c778425778', 'afd894a4b5460a20', 'f6dd643a4e792839', 'd82d41749c3d8e11', '1f2b2e721bbf85e1', '3f74a859064e1c6f', '1ba3ae46eda9f013', '21122af05bb14a08', '2fff98add2ed8bef', '937e53a30254c8f1', '3eba2babc6d32260', '26d5677e0637ed14', 'aed931f56c2878a8', '507be5a863760226', '3fef53c923ec562f']; context = [[6, 73], [202, 263], [12, 72], [0, 40], [23, 75], [0, 54], [47, 115], [21, 70], [4, 69], [3, 59], [11, 82], [27, 70], [4, 71], [71, 129], [40, 112], [0, 52]]; loss = 0.017587 low_pass_filter = 0.300
+Epoch 0: | | 16689/? [2:55:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 16690; scene = ['525cea0937bd926b', '3cb2021c1d92b820', '04d4ff903a298bcc', '52e4cfe9525c5183', 'c2862c7706ba87ec', '46cb2ccc95cb0127', '2be5bcc2bfc63d6f', '26426b411d79a491', '055770d0ed121f92', '5e8552f9cdf1e078', '5db240a3c54df22b', '344337509a48a21c', '3220f882c1f72cca', '6af18067925fa678', '28ada2a08238d1c8', 'b12b1204a0c7c197']; context = [[2, 63], [25, 75], [54, 102], [6, 51], [87, 157], [51, 100], [19, 73], [5, 44], [1, 64], [56, 104], [4, 59], [166, 220], [7, 66], [83, 142], [2, 62], [97, 137]]; loss = 0.015066 low_pass_filter = 0.300
+Epoch 0: | | 16699/? [2:55:36<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 16700; scene = ['2f47027fac0c598b', '5e7040c6384bdda7', 'fd36e02a115899ff', '3fd549f7eef1c12b', '4a08d8aa17ee55a3', '02dd8df555843071', 'c7215b566312abe9', '589af20d18528628', '3a9e7a5c6602e858', 'f1c5534a927740e6', 'da2332618f4fa3f2', '2a76acf0be4bee42', 'a017e3c508e5c39a', 'd467c876debd93df', '9545530d8990fe16', '5d890cd9c0c1a914']; context = [[0, 48], [19, 61], [26, 66], [66, 106], [104, 144], [153, 193], [33, 98], [29, 71], [111, 153], [7, 62], [12, 82], [219, 258], [103, 158], [11, 75], [59, 113], [14, 68]]; loss = 0.016356 low_pass_filter = 0.300
+Epoch 0: | | 16709/? [2:55:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 16710; scene = ['cdf469e202a5472a', '90db803cbda4c4e9', '4e0ea8472bb5c250', '6aa0e273d8c41852', 'a31eadf1684fcffe', '70a4150512a6795d', '36717a2b0062a25b', '6e699ada5d23f8c9', '17bd051dfba24889', '88938961b84f2cd7', 'dde547bc5456fdcd', '2374bc3470d48b9f', '7d9f0a9a5c3551e2', '56c780409feaf822', 'eaf7c66419fde6ad', '05661e760ecdfa96']; context = [[0, 52], [168, 210], [28, 68], [1, 68], [117, 181], [46, 111], [30, 78], [11, 78], [22, 73], [29, 71], [0, 54], [1, 50], [13, 55], [125, 190], [16, 59], [36, 78]]; loss = 0.014843 low_pass_filter = 0.300
+Epoch 0: | | 16719/? [2:55:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 16720; scene = ['232a8c69d8f69af4', '7900807f65ac59df', '0c6d43589658b86a', '1c0829e90380c26f', '1d19fcf1fcbfe3bf', 'b531cda2072028fb', '5f2e62b6917bab16', '27dd186ef87e4550', 'b348801a033b5ef5', 'f2b30a3f90bd17c2', '9261780ce2ed716b', '50c3162fc29561b4', 'ee18efbe4a7eb53b', '1a09290ef2933466', '564a8cb026ae12e1', 'abe30f78eedbc519']; context = [[35, 76], [39, 89], [6, 76], [57, 98], [7, 68], [121, 184], [66, 105], [24, 74], [3, 61], [32, 71], [40, 90], [0, 44], [26, 98], [36, 87], [23, 80], [101, 169]]; loss = 0.012378 low_pass_filter = 0.300
+Epoch 0: | | 16729/? [2:55:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 16730; scene = ['3cca42257738a064', 'c49e167a84d72291', '71a822bbd2123202', '9c37763c5138d4a0', '7555e47b02789beb', '819077a05ec815dd', '62eeeb4ecfb9d1cc', 'e1753eddd0e7966b', '982a10bb680bae27', '77177478fc811879', 'fdff6d499fd2416f', '08181ef1861a03a7', 'd94267d8022d8664', 'a864c0d0ec25cb6e', 'c38ba3bd81257841', '37e9852ebeead35e']; context = [[5, 68], [63, 121], [38, 77], [6, 57], [21, 74], [37, 87], [0, 63], [9, 68], [174, 243], [95, 143], [13, 81], [29, 74], [0, 39], [21, 63], [55, 103], [13, 60]]; loss = 0.014796 low_pass_filter = 0.300
+Epoch 0: | | 16739/? [2:56:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 16740; scene = ['d9a65d428e6aec0d', '14d89e024187afdb', '2aa6f67ade1bfc88', '3a4fb93324c90edf', 'afdd7c99c134261d', '7d6513e9e60673c7', 'c3717b9f586069e4', '5addef32e61e7498', '6155643c15b60b3f', '70302975bde04daa', '35566e51a143cd1d', 'ed7f0ab3fb9cff25', 'd11ea8e22f0cfdfa', 'c503b9ffcd10339c', '8ad12f82604831ac', '7b25f4b3c3a88b47']; context = [[135, 191], [83, 126], [27, 81], [86, 155], [0, 57], [1, 50], [208, 254], [28, 82], [8, 71], [50, 107], [6, 74], [0, 40], [3, 42], [0, 65], [97, 138], [52, 95]]; loss = 0.015508 low_pass_filter = 0.300
+Epoch 0: | | 16749/? [2:56:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 16750; scene = ['1d2da5cf4b75687a', '62cf369611d2c493', 'da782b30b0b6bc41', 'f3ad8ae9b2a860ef', '4678ea8c4e38dc75', '65a00341f349f76e', '810cdfdb9c8ffa02', 'bf1749022f7b7fc2', '036301384858f3b0', '1e4f512b8bd2b62e', 'ab5d20183d26c933', '9f31fffb23f13a63', '93c37a52bd208be8', '1e8a9f8690b19a68', '686e9f6ec7dee83b', 'd0b3444e1b040d9b']; context = [[100, 156], [6, 45], [11, 59], [183, 232], [6, 58], [19, 59], [54, 93], [1, 52], [11, 58], [11, 62], [122, 191], [69, 134], [139, 201], [79, 132], [2, 48], [133, 190]]; loss = 0.014752 low_pass_filter = 0.300
+Epoch 0: | | 16759/? [2:56:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 16760; scene = ['fde6f128e55f5bac', 'e9cfe450f0115ed2', '12a77ae2a659adda', 'c0e445194231c60a', '9acb1d0084b09bbb', '5007be2bb9168849', '026cf7182a33e5f7', '110a1625755ef472', '5a3ef807cc4e6415', '5427879336ad21b4', '298da81b464ac580', '5eb1b5d8fa263c07', '325629d09f769baf', 'a28f41ab97fb6368', '1c8182e508006626', '03e6e1fa4841610f']; context = [[5, 74], [28, 83], [75, 129], [144, 210], [20, 87], [68, 133], [137, 196], [15, 88], [29, 72], [177, 224], [61, 109], [45, 94], [125, 186], [14, 73], [9, 52], [17, 65]]; loss = 0.014970 low_pass_filter = 0.300
+Epoch 0: | | 16769/? [2:56:20<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 16770; scene = ['e398b6b9b1e85cfa', '15b1b5f770c5a68d', '935620b6d95b7e07', 'e384be9c2c62cf97', '161da535e54d4c7e', 'b5780abd5251b9f4', 'a29e4db4734cac27', '237c94c0538549a6', 'b3c6abce1788432f', '531ecbac17b31733', '4fe1b7dd68a6542b', '855601fdef75bb42', 'c87c8f9c8b42399d', 'e4c7f0a3850195cd', '23137b92a3535ce1', '6801c1bf5cbed2c2']; context = [[53, 96], [176, 243], [38, 92], [8, 61], [13, 54], [29, 90], [9, 48], [14, 59], [6, 50], [178, 223], [39, 105], [0, 61], [58, 127], [99, 161], [2, 67], [8, 74]]; loss = 0.016897 low_pass_filter = 0.300
+Epoch 0: | | 16779/? [2:56:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 16780; scene = ['91a5dc05e579c726', '88dcb5cdf83eef5c', 'bf0c5cb654dd1e0b', '041e80ca1179ed69', '89f06e96811dd13c', '452bec637695fb61', 'ca042138cc5291a8', '744157d1a5f49792', '9e4bbe87809330fc', '969e0fb4ea498d2a', 'a56927ac0e84b487', '44cb993e19c042ab', '01a8f17430811e07', 'c3c8552b354f54ac', '6aeff4800dc767c8', '3ea61742c00855cb']; context = [[19, 91], [10, 67], [27, 67], [28, 67], [14, 69], [5, 44], [143, 203], [9, 50], [14, 60], [39, 83], [24, 74], [21, 78], [22, 95], [45, 96], [43, 109], [12, 68]]; loss = 0.014929 low_pass_filter = 0.300
+Epoch 0: | | 16789/? [2:56:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 16790; scene = ['951a2b9f2e0c99ad', 'f02a887f2209999e', '7c880b1e35f46b25', '695c838ed469cec4', '474702f1cc9d2dac', '9b44d7f7f1e76dda', 'c9c9a2028bc5e37b', '6f097566ab5011da', '8610476b7d4b2394', '9f62a023f2d748f7', 'dc844d908c631b63', 'f2fbebb2b7cb9d0d', '8059bc76d9f034c2', 'a8f16a0f9e66da3a', 'dbcf7e96dd9449e7', '81940f462ed20fd9']; context = [[4, 65], [0, 45], [48, 106], [77, 134], [0, 54], [106, 164], [43, 94], [0, 65], [44, 113], [216, 268], [120, 179], [90, 161], [26, 97], [60, 103], [1, 57], [49, 101]]; loss = 0.014708 low_pass_filter = 0.300
+Epoch 0: | | 16799/? [2:56:39<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 16800; scene = ['db58e56a77e22e0a', '2653badbfaa18ad1', '865d357681dd22f3', '282251d1ef15c3fc', '2aa3c28014bcbce0', 'dfd13cc7c237647a', '518d383bfd978431', 'a6bd696e47aba3ee', '51d90b37d02bd775', '26478c3488603e09', 'de2eb4f6f8635fff', '02a9f1d0c440516c', '62e2c4c0f76a53e8', 'cc7dcffc9cba38a8', 'd27aedac17239369', '196e7292497fe4a3']; context = [[99, 153], [2, 74], [22, 86], [7, 62], [11, 74], [192, 237], [0, 43], [21, 88], [16, 88], [92, 147], [48, 101], [164, 218], [84, 126], [66, 110], [62, 132], [96, 137]]; loss = 0.018641 low_pass_filter = 0.300
+Epoch 0: | | 16809/? [2:56:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 16810; scene = ['f2c65f1db3235f15', '79c81482b548f084', 'b446d15cc675595d', 'cdf78598acfcccb0', 'b33364f7f8aba9ab', 'deefb005c327f563', '059867494cc551db', 'b12a0ab351bffd0a', 'f5f7a03a083dace5', '7dffb84793d6b079', 'eba582c8dd116c8f', '1e4b156503c3e144', 'fb9876fcf87bd435', 'eca8bb9b86725710', '2443607afe3596b2', '2436a7535acef810']; context = [[31, 101], [128, 190], [24, 74], [7, 79], [16, 83], [92, 156], [9, 55], [186, 234], [12, 75], [1, 47], [54, 109], [27, 94], [5, 58], [9, 60], [207, 267], [167, 214]]; loss = 0.016773 low_pass_filter = 0.300
+Epoch 0: | | 16819/? [2:56:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 16820; scene = ['7730b8a54904d0c8', '484d51baee4c01fd', '6c12ef21f1379706', '8c6cb883e794e7c1', 'a883029c3fb6f110', '6da80899c3b2a390', 'f7da323950f255a0', '3bac8b9c47707a8a', '2dc5db0ae2b383df', '0de33ad1ded7a060', 'd3234b40e1d89548', '821c3210d5cb54ac', '0678547e251bcd60', 'f8755c049d3f8fcb', '39bcb80c02b8b0f0', '49ba6fbb5a39e7d5']; context = [[23, 87], [157, 224], [38, 83], [70, 138], [0, 60], [39, 94], [97, 147], [62, 129], [52, 100], [158, 219], [72, 133], [14, 82], [11, 58], [81, 126], [11, 53], [8, 67]]; loss = 0.013939 low_pass_filter = 0.300
+Epoch 0: | | 16829/? [2:56:57<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 16830; scene = ['b17222ffdec1f134', 'c0e5cfa6c1302f81', 'b3f9679d73187a63', '57ae59b355e37b50', '32e9d44c0fefae3d', '43e8d48009f94e90', 'f73b5c1b901e8d1a', '65410d22f0d980f7', '693db81439adb0d3', '2a5b8373cd153193', '90712b0af3a063e6', '0de5bc13e19a0586', 'fd8dec4cd31f64b8', '7565f5a8df58c2f1', 'f8e32278bb006569', 'e709790e27ff7a3a']; context = [[169, 235], [0, 70], [17, 89], [13, 76], [40, 88], [147, 214], [0, 39], [112, 167], [128, 187], [12, 63], [47, 104], [0, 42], [1, 43], [21, 63], [49, 90], [38, 96]]; loss = 0.014966 low_pass_filter = 0.300
+Epoch 0: | | 16839/? [2:57:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 16840; scene = ['490719eef95b0e50', 'c9f78fa882799a27', '9cd0e5c7790fde1d', '22db60f027ff4c9c', '4d6710d444e96c0c', 'da9f2aca4d24cab5', 'c0be824295e236f4', 'ae558864399fd682', '50468b60ba969ac2', '96dcb0a7845a1ab6', 'f5994df2f00989cd', '6dfaec91f745fdd9', 'ec3e15d5fdd55626', '8584c04ddd146c01', '98e402ee105f6914', 'ff9d298f6b015e8e']; context = [[3, 58], [12, 65], [94, 162], [7, 72], [1, 49], [12, 80], [4, 52], [95, 157], [21, 78], [10, 75], [28, 87], [1, 47], [71, 127], [99, 165], [72, 145], [47, 90]]; loss = 0.015178 low_pass_filter = 0.300
+Epoch 0: | | 16849/? [2:57:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 16850; scene = ['8e5669b2fd974118', 'c63f0d1dee4846de', '304245015fb2dbc5', 'd6f888535862dadd', 'b7b4952378211cc9', 'dedf1209f6d5747f', '39d5184c4a047f1f', '993fcef909c7650a', '7f532f61480e9e92', '4953a1f90daa9743', 'a0c8f13e0ee9d03e', 'e5fb96a5660d33ed', 'd43bcc23c8839201', '3dc1bc07386e66b5', '064348da440ee56d', '429ddaeb87571bb9']; context = [[121, 178], [20, 70], [125, 186], [50, 89], [7, 64], [156, 208], [80, 153], [25, 89], [54, 108], [33, 106], [33, 92], [45, 96], [27, 81], [88, 158], [49, 113], [37, 92]]; loss = 0.014641 low_pass_filter = 0.300
+Epoch 0: | | 16859/? [2:57:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 16860; scene = ['99a7922ce3f339aa', 'fbd2be032d4d3e91', '236bb4371f0a9b0c', '2c42ecf0e006ed5c', '407e64bbe95a2336', '92b69a523d36863f', '6105fc9ae95a5ab5', 'f6ed403d51c084b2', '0fa85c737e39a16b', 'd4bb75af014f9427', 'c3f121951504f029', '47d8f4be2be93a36', '09f5ce489b61a6cc', 'e94399e61cdc8ee7', '6a2b388246b639d3', 'a79878c670ca903f']; context = [[108, 164], [48, 115], [123, 168], [1, 52], [34, 98], [6, 48], [61, 107], [2, 60], [60, 120], [0, 62], [114, 165], [0, 58], [33, 103], [57, 112], [46, 86], [43, 95]]; loss = 0.013986 low_pass_filter = 0.300
+Epoch 0: | | 16869/? [2:57:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 16870; scene = ['3b7054d1e4881a90', '01cd742e8f7fda57', '9ab12a31f2a3b9fb', 'c40b23830f7437d5', 'df922a3fc957bb93', '6dd75cdaf50e9f87', 'e60f2d56d3feef82', 'b68285617c255443', 'ee7cb189dff51d83', '6a38e494b3371e30', 'e50e924b3bdf807f', '72b1eb34465dea7e', 'faba60084d22aa27', '28f9227604f33f64', '46fa4e4e3b142efd', '707616b66c635bcc']; context = [[127, 198], [43, 91], [43, 100], [2, 57], [31, 79], [7, 68], [7, 77], [7, 70], [93, 139], [8, 54], [7, 52], [5, 76], [21, 83], [102, 150], [25, 96], [106, 179]]; loss = 0.014409 low_pass_filter = 0.300
+Epoch 0: | | 16879/? [2:57:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 16880; scene = ['40d398cb0fb84bf1', '335a90126c68ec87', 'c54bfe167a0e4773', '79bde1fcb9c993da', 'f727b968f8aaec7e', 'f78c2005ec943a78', '2ffaa5b127dec0c8', 'f1c8dd3eca2368c8', '28e273483a56fa47', '2c6682e7b1e7b23a', '08c2813dd40cc55e', '40aff09bb1db0174', '655505b3d15f6b6b', 'c3edf21323a1d24e', 'c8804ffcfe2475f7', 'eb75a65668cda3ca']; context = [[124, 179], [35, 83], [11, 66], [1, 56], [98, 140], [3, 69], [19, 78], [5, 73], [0, 59], [1, 45], [56, 127], [103, 165], [41, 89], [165, 219], [29, 93], [42, 95]]; loss = 0.015067 low_pass_filter = 0.300
+Epoch 0: | | 16889/? [2:57:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 16890; scene = ['31411305ea3662c6', '9a89163b62f0a058', 'fe8c395dd70d4844', 'c35de22a7238f9a5', '3bee0daad1cc6c0b', 'b0f5b20c5724e592', 'e4d86068c95e0922', 'e1730179fd86e4c0', '55500b9b8aa934a1', '32853e04e84e9242', 'b4297c92de82ba23', '97c5606fdea6e732', 'a9a85280b420694a', '6d26732ef60b81a3', 'dbbc84703e42d174', '5eba0adf88b41a12']; context = [[31, 70], [36, 96], [74, 119], [22, 82], [21, 86], [6, 69], [162, 231], [26, 66], [14, 59], [11, 70], [8, 79], [1, 61], [36, 76], [15, 86], [14, 85], [23, 89]]; loss = 0.011757 low_pass_filter = 0.300
+Epoch 0: | | 16899/? [2:57:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 16900; scene = ['ec4e714f7395a1eb', 'e49884a3a277d320', '07d2d2d6cbd3f15e', '87c907d8c8c4d7d6', 'dc1ae8c3ae7797ff', '2892afc2e696cb8e', '5830ae37f597a53a', 'a899cc62b4d16a99', '361100f6ae8c1ad5', 'c0cf92a34efcf356', 'f9e33a1d57250855', '031413325619677b', '75ed6690375be78c', 'cb4410e6d2705491', 'c19839af089b3874', 'e150df1482489565']; context = [[143, 186], [21, 72], [8, 59], [20, 81], [19, 91], [37, 76], [63, 122], [67, 121], [84, 129], [37, 82], [17, 61], [152, 200], [41, 93], [99, 163], [9, 82], [24, 82]]; loss = 0.013064 low_pass_filter = 0.300
+Epoch 0: | | 16909/? [2:57:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 16910; scene = ['3b253958e49a169f', 'a0c2e85b87cdef90', '35f3fc9b63fabd73', 'a020f3293839f1a5', 'e14f4c7e2b5bf74a', '9e2be97628cfffeb', 'ecb85a80a1fe7b8c', 'b2b3eb2502433212', '4fa5b973a37f2ed4', '6ac77903c85a136d', 'cac84a71e48219aa', 'a59032b47f1dfff0', 'fc2059a30fa154e4', 'bfa48646aea12d4c', 'c6f1488495990249', 'ab8e85f5557ce4a3']; context = [[63, 103], [175, 221], [3, 59], [124, 190], [11, 79], [1, 56], [24, 80], [24, 72], [16, 58], [14, 54], [37, 104], [30, 78], [10, 62], [58, 114], [6, 49], [14, 77]]; loss = 0.011333 low_pass_filter = 0.300
+Epoch 0: | | 16919/? [2:57:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 16920; scene = ['c91a840348807d57', '3d324e5e8a7790b5', '55e04e9b50ee3cd7', 'a7285c6e5c20dfc2', 'ce93ee0eaca72e6b', 'b620dfaca7a37365', 'b4622e3dc1200f6e', '5244830b7357365b', '60a93ae5bb06a238', 'add32babab3b0aa0', 'ab1185dab9b6da5b', 'a06f1c55096a6e49', 'a54873f89d266195', '8cf8eefab5a62f0d', 'aa5dd9c4063f6e6c', 'f8a2ddd918dcecee']; context = [[61, 107], [36, 83], [61, 110], [33, 91], [6, 62], [7, 71], [22, 67], [10, 77], [113, 174], [80, 123], [23, 93], [0, 64], [1, 68], [4, 47], [105, 172], [6, 51]]; loss = 0.014626 low_pass_filter = 0.300
+Epoch 0: | | 16929/? [2:58:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 16930; scene = ['4d0ffa23690b31f5', 'e32290ab3ad7c715', '1a00d4e8aa97867b', '48c4a4758b86d309', '6a3f9d9e01c9bda5', 'ab85bf8652d24e47', '18b72612d78e5800', '95f77454a0125854', '58d9100716253f0f', '74ccd7f499ff29c1', '50468b60ba969ac2', 'f5994df2f00989cd', 'c0be824295e236f4', '8584c04ddd146c01', 'ec3e15d5fdd55626', '4d6710d444e96c0c']; context = [[25, 76], [118, 178], [42, 99], [7, 53], [60, 102], [107, 157], [8, 65], [11, 62], [54, 109], [1, 46], [18, 65], [0, 68], [43, 97], [100, 157], [111, 183], [11, 74]]; loss = 0.012740 low_pass_filter = 0.300
+Epoch 0: | | 16939/? [2:58:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 16940; scene = ['25d7392ac5ae9066', 'f148e790bc04506f', '82c9062c870a1757', '24fba0e6aa6af98f', '61ea26e539098884', 'f6f36f1a0e886abf', '4ca12bb4344471f6', 'e6f0f9dc45e9f66e', '4684bfc4b6330cdd', '53bb7687bdc3282a', '9bc6d79bdd9830a6', '771c929fa8c4439e', '9c8d61c37c4bb315', 'bd7a0a337366b1ab', '860f23a10b0bc952', 'a2240803a46855d7']; context = [[13, 74], [1, 45], [11, 55], [44, 96], [41, 82], [72, 123], [44, 98], [77, 119], [12, 66], [208, 265], [196, 266], [192, 236], [22, 84], [1, 46], [73, 128], [24, 93]]; loss = 0.014234 low_pass_filter = 0.300
+Epoch 0: | | 16949/? [2:58:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 16950; scene = ['b4ffacdfb98be7ce', '00e3a0aea2fcdff6', 'af6d66e39934570d', 'b5acc7b273a8b91d', '267652292cce84a3', '4474d194f5b20728', 'd4422938cc00c968', 'da68c805b37deb5b', 'b937245ac95ab2b0', '95317d58734b4c15', 'cb7ea96f12ceed00', '6f70b8b96a4b3dca', 'c1b291bac208f824', '6d6368bfdb2564a8', 'bcc2187b08eddbf5', 'e020be14afb3ef14']; context = [[9, 67], [50, 119], [3, 52], [68, 116], [40, 93], [121, 177], [28, 84], [37, 102], [14, 55], [0, 45], [0, 53], [105, 169], [0, 42], [143, 199], [107, 151], [33, 102]]; loss = 0.013754 low_pass_filter = 0.300
+Epoch 0: | | 16959/? [2:58:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 16960; scene = ['83e93a8efadd5629', 'eeb48c7ba92e3e36', '9a00dd7d0e69b57a', 'c9f6bfaec51028db', 'b424880f3cf26992', 'b3b45ff1b4002fc7', '53f468f8b9c2ea20', 'defd0d8f19b0a08c', '089cd75a075b8808', '2a3cd50ab76ae202', '15ea13de45382666', 'def88f4446e088ca', 'e0698b31d9918c54', 'e7bfd263ace09454', 'c88338c9d91fa766', '5f33a3cefc16a608']; context = [[16, 59], [5, 72], [94, 141], [84, 145], [9, 60], [41, 102], [14, 58], [15, 59], [21, 85], [8, 54], [117, 184], [12, 76], [77, 134], [103, 167], [67, 135], [0, 47]]; loss = 0.013049 low_pass_filter = 0.300
+Epoch 0: | | 16969/? [2:58:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 16970; scene = ['47739a4198e8ecda', '911a6a269ecf479a', '4df0865965b5d216', 'c8e5656820b23246', 'a7ea6ef04df2bbdc', '35bedfbb2558fad8', 'fe366a0fc6fbf5a9', '59d9825387580cd3', '82cded2e533c1edf', 'f7abe583759cc249', '0b24d043fa5648b3', 'ba2f547ff823f99a', '6372bfa2800cac88', 'eac388c09cb28b6d', '88901f973fdc0784', '6984917885b4951e']; context = [[128, 170], [4, 66], [117, 164], [3, 58], [77, 121], [2, 64], [11, 78], [46, 97], [3, 66], [4, 49], [167, 227], [48, 111], [45, 113], [15, 61], [38, 96], [192, 258]]; loss = 0.014238 low_pass_filter = 0.300
+Epoch 0: | | 16979/? [2:58:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 16980; scene = ['0ed722850582d94a', '19f4d7a017c190a5', '0f941bf5ec6453a0', '39ff492c91df61da', '798d4e7752255a53', '0ddbd037f8183e3a', '590fb5ac33ed6860', 'd34adbecbd9fc68e', 'd6d2b9231c14b140', 'f8bf2fef06336b12', 'd60f30aa087b87cb', '793708890c361a00', 'e80dbf2f8aa076de', 'd7f009ec2ab543f3', 'fc0ba1bf5a6cbd74', 'edc12d141059e496']; context = [[27, 77], [29, 77], [25, 65], [37, 92], [96, 166], [2, 61], [14, 79], [24, 84], [4, 77], [0, 44], [24, 80], [13, 62], [18, 66], [99, 156], [5, 61], [67, 136]]; loss = 0.015775 low_pass_filter = 0.300
+Epoch 0: | | 16989/? [2:58:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 16990; scene = ['8853c3fc40c69e24', 'fe88b975469701fb', 'a3881eb3102f8e4c', '453429d863b9b773', '7e71fa90b85ee375', '0cd5ffa2fd8650fd', 'f85bb38dd85bff45', 'c0f65fe04c43afe1', 'baac13e0de97b6d9', 'edf5aa9f68551f94', 'e66faed3dc12da63', 'd1ff1c0259b8c632', 'd6bf0c4e3e1b3760', 'a90a7135e5528a5f', '6a08df38d22a6655', 'd5524b1a846f4876']; context = [[33, 103], [15, 68], [25, 69], [27, 93], [33, 83], [104, 152], [4, 58], [2, 52], [2, 66], [18, 64], [1, 62], [6, 68], [6, 63], [7, 64], [2, 57], [152, 213]]; loss = 0.018662 low_pass_filter = 0.300
+Epoch 0: | | 16999/? [2:58:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 17000; scene = ['981db49851a56ffb', '3a38031693c62175', '8d08b6d3bb4eb771', 'd30c4b8ff4370b24', 'd458455ddb3050e2', '760c4946c9cab2bb', '4b2e1fbcbc0e5b90', 'e98d3fe566281238', '27ca295046fe3369', '2f4344faadf0e69c', 'b229fe07b94f43ea', 'a7ff67a70d06f9aa', '541f5c774d29f7b2', 'd415cb333701232f', '45edb87bd30a2a11', 'fffda70800952a46']; context = [[11, 59], [70, 126], [178, 251], [37, 85], [16, 72], [0, 53], [0, 49], [14, 62], [137, 208], [1, 58], [65, 122], [30, 96], [2, 44], [85, 129], [2, 64], [15, 71]]; loss = 0.013570 low_pass_filter = 0.300
+Epoch 0: | | 17000/? [2:58:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0validation step 17000; scene = ['dfb6932b1a712d0d']; context = [[6, 46]]
+Epoch 0: | | 17009/? [2:58:52<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 17010; scene = ['61c269a3c3f1c3aa', 'e72efe3789ffb895', '5c52654012ab43a1', '7dacc3867cf5272e', '195565e5d3aaf3ed', '8217a02daf1b83d2', '7c1e5a3898536693', '9232ef6ebf4bc047', '20551c90baa98c3e', '3e6a362c565f1728', '64b0754b2dc4b71d', '4fa9fd271ce7d88b', '75b86a4e2efa0937', '5fc78da0b2bb89a5', 'fede794659cac7d1', '20b855b527098a75']; context = [[83, 148], [22, 80], [115, 173], [92, 153], [39, 87], [28, 73], [14, 73], [13, 77], [140, 203], [15, 64], [0, 63], [10, 76], [55, 102], [182, 247], [2, 44], [34, 108]]; loss = 0.014204 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 17019/? [2:58:58<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 17020; scene = ['571bc82e203d6e84', 'a1cf0d72e2f4cbeb', '9e6f2056c8787023', 'e72d14392e5d51b2', '3a5dec27496963c2', '72077f7ff39fc73e', '491d332fba39e8e8', '9b70ba2ecef9d91d', 'c2df147f839336b2', '37fa7a24e4b88b80', '851803b644165c71', 'f40f4fdf9aca7261', 'c029a22f68cdd079', '99969eaec52ea5fb', '69c9d2b40aa6b576', '100d14afbc5d949b']; context = [[30, 76], [27, 97], [0, 68], [59, 126], [74, 143], [7, 61], [42, 100], [49, 94], [18, 73], [1, 64], [203, 249], [198, 263], [167, 224], [67, 139], [39, 111], [99, 144]]; loss = 0.016275 low_pass_filter = 0.300
+Epoch 0: | | 17029/? [2:59:04<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 17030; scene = ['0f57d75b30d65539', 'bb1d884c7bc6f463', 'e0f9634ac743f6e8', 'dd4916f348c17aa0', 'b38f933773a331bf', '25b566c54e1d3c7d', 'ce284b41bc2d6abb', 'edb0f2f1872ff393', 'f6c2ec175de3468d', '109d95d5de8c2056', '912d4cd827238ee3', '823ff9b8738d5853', '15121aa15652bcdf', '8411baa1ad3a5c6f', 'aea600cf5857c796', '57c4350a67896dd1']; context = [[40, 80], [48, 94], [83, 138], [0, 40], [17, 83], [5, 49], [4, 49], [48, 116], [1, 51], [127, 186], [7, 49], [3, 52], [2, 67], [49, 110], [37, 108], [10, 63]]; loss = 0.014122 low_pass_filter = 0.300
+Epoch 0: | | 17039/? [2:59:10<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 17040; scene = ['1ca2e88b26e49a58', '24fb04f6ecb97aec', '2f3cad0f7199ac5e', 'dc104deb60486231', '076c2a3934e90770', '5ac89308928c597f', '33f46a908c161d84', 'bd16beec5b57de15', 'c0957c359b852c35', '8aa87dbef45279df', '6e62128a879efd48', '5d3bdb9c1f87185c', '935328d1049e18ba', '111f07323b6cb3b0', 'cf1b989d2cd6a21f', '4e6b3c33bd1b41ab']; context = [[54, 111], [71, 135], [26, 89], [31, 85], [15, 80], [58, 104], [49, 95], [13, 68], [79, 140], [2, 61], [36, 105], [82, 156], [40, 93], [0, 45], [5, 68], [10, 79]]; loss = 0.017006 low_pass_filter = 0.300
+Epoch 0: | | 17049/? [2:59:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 17050; scene = ['854117547c5691d6', 'ac2f6532424563f9', 'a0ab47f15ad0a175', '2d8d59ff223d1b70', '7543d863a85dcab7', '3361ad53264a7c90', '6800ac6887f5d57c', 'cd4cc783a73ee141', '282fb38dd02724d3', 'e6c460ceba829ebe', '2115526d696f0157', 'd6f6e44bb830dcb2', 'e3e0aa84f64bd071', '4d77a7a57dc6747f', 'dd7313c8e8db7db8', '2101e505ce777ee0']; context = [[50, 91], [30, 92], [10, 64], [19, 93], [160, 221], [4, 75], [19, 64], [48, 119], [110, 179], [24, 93], [6, 74], [35, 91], [47, 87], [0, 44], [1, 58], [53, 114]]; loss = 0.016180 low_pass_filter = 0.300
+Epoch 0: | | 17059/? [2:59:23<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 17060; scene = ['09211f0cadc25024', 'd7ca1248e911d391', '884d301a8603ad01', '70e09b2da21c935c', 'fe05283c708c2589', '6f4f54d89383e1ba', 'ce638637eab9cbb2', '2a28036d98f5a42d', 'd378db422fda516e', 'a39de974d72b88b3', '2d41ec8c58a78215', 'ae9b392cb1d7be26', 'c31c5aec6ca52a0f', 'a7344e0356bfba18', '4a08d8aa17ee55a3', 'abf952722816c296']; context = [[59, 123], [12, 76], [34, 77], [5, 72], [104, 172], [72, 137], [49, 95], [5, 58], [2, 57], [59, 103], [28, 84], [126, 193], [122, 195], [44, 95], [14, 87], [92, 155]]; loss = 0.013966 low_pass_filter = 0.300
+Epoch 0: | | 17069/? [2:59:29<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 17070; scene = ['b913fc397ffe5b87', 'd51cf8e527ea5cad', 'b95a2ce1d191fe04', '264626db21145229', '3541705e5a095fad', 'f3cbccbf95c1fc83', '74ed41fdbece3110', 'c6683515f5c374fc', '04ad9f32c83f28b3', '42b03fbeeaf5dea9', '5c81d3506aa61647', '37c29538c79cd90d', '56d1fbbe9848c802', 'ada0aa81b633c33c', 'a6463fb1c9e10282', '065a1c27a4c9e0e5']; context = [[5, 76], [35, 80], [31, 82], [174, 241], [31, 76], [23, 69], [127, 196], [1, 41], [1, 53], [0, 68], [49, 94], [6, 54], [52, 101], [52, 96], [14, 56], [213, 256]]; loss = 0.016033 low_pass_filter = 0.300
+Epoch 0: | | 17079/? [2:59:35<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 17080; scene = ['5db35c5a758e42ae', 'ceaa8a7f61143b3f', '6ac21339504bd55f', '742793d0325d9468', 'be9bf46e270b4063', '87d8ff58d20dd38e', 'b2191f22b72cd698', '73cc69443a1bcc85', 'ae333e7a76b1d130', 'cd8d792e818d2f0a', '8c53d576bc006878', '585f341e385b5707', '9335a49eaf704374', '23c206eec5eb0455', '195f7b5576b015d6', '6e0a59fbee3597d3']; context = [[8, 60], [45, 112], [14, 79], [12, 58], [21, 79], [7, 74], [33, 91], [39, 93], [12, 60], [23, 92], [67, 111], [5, 62], [65, 109], [161, 234], [14, 73], [11, 60]]; loss = 0.014836 low_pass_filter = 0.300
+Epoch 0: | | 17089/? [2:59:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 17090; scene = ['a4a2397604930cf7', '530511cbdf4fd449', '558bb65bfbe54320', 'e2068d39b0cbe2d0', '31ee0ad396e51e16', 'e6be807f7579f977', '5c636a8622d43293', '05b11294218075e1', '2ed55ed93afa94f2', 'fef9b8a287d2d4bd', '2d7c79c978b0cc08', '60bf0a4a1ac5f0c3', 'a00d66f7d1488c5c', 'ee8bf5f75501704f', '6181d3a1bc07ad1d', 'c1ed7f9503aa6446']; context = [[8, 56], [22, 66], [76, 139], [29, 93], [50, 100], [39, 83], [2, 47], [22, 64], [0, 73], [65, 109], [35, 81], [2, 54], [88, 128], [3, 47], [7, 79], [103, 144]]; loss = 0.011151 low_pass_filter = 0.300
+Epoch 0: | | 17099/? [2:59:48<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 17100; scene = ['e2eafa0d01a6337f', 'f83a72a27b18dc03', '3d0bbce736659b1e', 'e1049fac3065b063', 'b932fc784f7f24d8', '3338a85eb3222a45', '5838c99eb85b98be', '0a6bb5a921dbfc12', 'f0b547776a72c454', '8326d223160e7289', '42ea0dcb2096483b', 'e7ea158f72fb950c', '82bdba0219213c9a', 'dffe84d1fa51715e', 'ddddc421d62a09bb', '23c841f4630239fd']; context = [[19, 89], [51, 98], [2, 49], [16, 90], [6, 71], [2, 61], [8, 61], [159, 199], [88, 153], [58, 109], [2, 49], [29, 91], [8, 69], [7, 53], [109, 160], [66, 125]]; loss = 0.014756 low_pass_filter = 0.300
+Epoch 0: | | 17109/? [2:59:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 17110; scene = ['3d9dd3d10965c92c', 'fe04fd49c46f2fc1', '9b4eb74c4f2839ce', 'a4fe80b618bb7456', '94189ff3621c2388', '98357a968617da0f', '9bc5981d26dcfc62', '684bfafa652a719c', '312885f77137bd7c', '8090675e3d0b56c1', 'df583b2dd1acba5d', 'bf269b81fd5ca1f6', '7db13dffd4c4bc7b', '3fb1e31ec9238522', 'b76392a98971711b', 'abaea05d6dfb482e']; context = [[30, 102], [41, 87], [8, 69], [27, 85], [48, 111], [1, 74], [8, 56], [1, 52], [19, 80], [14, 58], [44, 89], [110, 175], [95, 161], [22, 71], [25, 76], [151, 216]]; loss = 0.013278 low_pass_filter = 0.300
+Epoch 0: | | 17119/? [3:00:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17120; scene = ['66c1b0d5b4cc4414', '7503e0fc88605e43', '5149fd09f43351d6', '20df3685d7dc078d', '540d10b47153eb0a', '3b505840514a619e', '2a43f124a30e1395', '1d2aa82023890bb8', '441004b493a8fcb6', 'dd519a6b576ce538', '77e2d47cdc2eb3f8', '13aec08d287400f3', '8c95dabe79b4755c', 'dce67bdf972fe9c3', '0b1944b1272128df', 'a07efc76f8c1e3c1']; context = [[6, 74], [3, 44], [7, 80], [49, 120], [7, 62], [75, 128], [28, 102], [8, 81], [0, 55], [13, 59], [4, 58], [4, 77], [15, 79], [15, 66], [41, 108], [213, 264]]; loss = 0.013785 low_pass_filter = 0.300
+Epoch 0: | | 17129/? [3:00:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 17130; scene = ['f760b9c83e882756', '59220df676c7b430', '591277853eb83777', '130e2bd2cf4084d7', '98fa652433a9a8b7', '7bc09504a215e592', '71b9b21424e1cc97', '94f4529096d17f25', 'acea865775134a18', '1d4ffe48542eb14b', '392b692c8c3f4e5f', '6c5d6b6468bc196d', 'a76c40c96098b63d', '54e9564d27d9a312', '8aef911b31bd5273', 'a910f8752165735f']; context = [[5, 49], [182, 249], [46, 86], [103, 164], [0, 57], [45, 85], [4, 75], [39, 82], [24, 71], [216, 278], [47, 104], [37, 106], [83, 132], [26, 68], [25, 68], [2, 76]]; loss = 0.014191 low_pass_filter = 0.300
+Epoch 0: | | 17139/? [3:00:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 17140; scene = ['5c3edf95e971e6a1', '403074ff29418d5d', '51098eb8a77e3976', '2ebff1fdfce42b62', 'e77fa90c3f42729e', 'a464ead502832cec', 'acff72df83292068', '55e8766149262fb6', '7bb5cce3ca41718a', 'db02ec541d6a9556', '1e78ea9d561515e7', '00c14c53270e07a6', 'f450b5eb36699b57', '519ee1fb2d68f039', '5bbda319111f9dea', 'cbc71a203e10b3c6']; context = [[140, 211], [14, 68], [0, 52], [65, 132], [85, 141], [20, 73], [10, 79], [2, 66], [8, 64], [28, 98], [4, 48], [51, 107], [103, 154], [84, 150], [87, 154], [108, 160]]; loss = 0.016171 low_pass_filter = 0.300
+Epoch 0: | | 17149/? [3:00:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 17150; scene = ['b7f11264f90f9fdf', '97c0e17033d685ba', '3ecc9dbeec2451f0', 'ea4e8db997cafe5d', '227bf499869cf372', 'a3c290d59ba3d57e', 'c1067c28947eb908', 'dfbdc15546c94452', 'f8d97e84b057c5fa', '5d078b0df0aba401', '863cd9e3c3374c17', '753ad3e1d6a005bc', '05d6f85d64a12629', 'c34a80c8baee9a1b', '0356f20494f9dc73', 'e5c25f8e979ee3f2']; context = [[0, 43], [113, 158], [14, 80], [61, 129], [20, 67], [7, 68], [14, 61], [49, 114], [205, 247], [54, 121], [6, 46], [1, 69], [4, 54], [8, 77], [85, 131], [40, 91]]; loss = 0.017891 low_pass_filter = 0.300
+Epoch 0: | | 17159/? [3:00:25<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 17160; scene = ['cdfaedf191aa202e', '0e919bde79f02850', 'e552fbc688a36113', '7a2b10ce0692e2e0', '554c4773a1d8fa76', 'cad3ed6e8bc9f413', 'e2009c92c7495572', '10e801244cd4bcb0', '4afa2fa17e08133a', '43ee1db1e7636662', 'ef6afe349934d490', '77022366e4c55707', '2e791e46ea69f1e9', '3e983363b5c730f2', '96a6ec4c056744f6', 'f7c60ce5a286c245']; context = [[6, 51], [48, 109], [13, 58], [18, 59], [5, 65], [4, 64], [149, 190], [94, 145], [53, 108], [22, 65], [3, 46], [31, 88], [121, 167], [116, 159], [43, 115], [0, 43]]; loss = 0.015038 low_pass_filter = 0.300
+Epoch 0: | | 17169/? [3:00:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 17170; scene = ['9fbb249fd2eaba0d', 'bddf4d4f01a3de36', '9611deae7e862b38', 'c30ceef53fe9f55c', '4881f7066e1c8c91', 'aed476777893fd8e', '8b279470a2039dc8', 'b4084b424f1e1a80', '627e3c3515df5daa', '5d78805f2591dc3b', '2f182e9cad395982', '6374e51e6160a80c', 'c347d93a2934ddc6', '9c7b700f9c5cc6c6', '0300e98ea0b7e0d1', '8cc5edb283670a32']; context = [[23, 73], [110, 179], [27, 68], [150, 213], [7, 57], [28, 81], [50, 114], [61, 103], [2, 60], [32, 85], [134, 204], [29, 96], [9, 61], [220, 275], [19, 77], [34, 76]]; loss = 0.016673 low_pass_filter = 0.300
+Epoch 0: | | 17179/? [3:00:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 17180; scene = ['015be5260cee24a6', 'f94029860c968603', '17d3a16e71d99061', '9ec8836d9eba792e', '3efcf64764442ba9', '615d2eda2a3d4f7b', 'b2ce83d2be098fbc', '4811d8b25548586e', 'cb2397daeb2ee8e4', '62ed93b209157a0e', '24709bfd3eb54bed', '4444717bbd6638d5', 'f471211bbbc65a17', 'd101a39a319befa5', '0b3450e60786b915', 'c97d905b9b4be11b']; context = [[4, 53], [7, 80], [17, 71], [104, 157], [220, 268], [38, 105], [110, 160], [18, 71], [184, 242], [111, 161], [208, 260], [30, 95], [107, 173], [25, 80], [2, 62], [8, 81]]; loss = 0.013057 low_pass_filter = 0.300
+Epoch 0: | | 17189/? [3:00:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 17190; scene = ['7a93a1f75a9636ca', '7df8b2db66f22383', '3494d1f46ae280ce', 'a0792de6d36408c4', '29813418d3210005', '6a1c56504c0bb47f', '6f9de440653bb88a', 'c3f698f6017a16e0', 'd8f3c1df8cd99206', 'a6d10a076e16ca68', 'e1ba571bfd9cab32', '39422d0571911e76', 'b488309344145da2', '761e4cc8a44174a6', '5461f5bda5a96c63', '29b8e57e47c3e036']; context = [[16, 87], [6, 46], [87, 143], [19, 61], [32, 89], [33, 97], [20, 88], [15, 67], [34, 83], [187, 230], [1, 52], [18, 76], [40, 86], [56, 96], [39, 96], [154, 196]]; loss = 0.014467 low_pass_filter = 0.300
+Epoch 0: | | 17199/? [3:00:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 17200; scene = ['c87ed13477475e4a', '1dddf8460c0c49cb', 'bb4983029146d2bf', '44edfcf8db1e6c1f', '10ef289b28ab324e', '472ea6a36fa2d883', 'e3a011e739647f75', '8732aa2851a261d8', '23330a56f34fec23', '070541f4d998a7f4', '7000f7a820b20f68', 'd3cfa5d2c197c726', '702491e776eddd9b', 'a461535bfb517f1d', 'a644bec298d08fd8', '1c6cd511b66d9444']; context = [[0, 45], [14, 88], [4, 57], [59, 115], [2, 53], [25, 98], [0, 54], [8, 79], [40, 109], [59, 102], [1, 55], [3, 63], [5, 54], [24, 95], [37, 110], [14, 72]]; loss = 0.018004 low_pass_filter = 0.300
+Epoch 0: | | 17209/? [3:00:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 17210; scene = ['afd79cf17dab3e39', 'be3290ac59571445', '2de19cb1c144c8b4', 'ac9aec32ea6234c2', 'ac090d5fdb989475', 'ca1925532ad236a0', 'd0c8bd037dd1a8ba', '9a0bb3f66b9d47a3', '66673060746f55a1', '8044653852bac599', 'da5f4e94eeb147a7', '4d93f0c09ab52735', 'c38f82fa9aac52d8', '6d9a32f4c23439f6', '10233258116ea89b', '92d1662fccd481ac']; context = [[46, 108], [33, 81], [22, 80], [4, 69], [10, 81], [27, 81], [70, 137], [33, 75], [35, 89], [33, 87], [30, 94], [103, 148], [100, 169], [16, 67], [60, 113], [94, 147]]; loss = 0.014114 low_pass_filter = 0.300
+Epoch 0: | | 17219/? [3:01:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 17220; scene = ['582b5253fe22067f', 'f91c62cbc0f2b02c', 'b0b372ac64a28928', '7f81996fad0f7caf', '498070d8ece368c7', '77bb1e0d667eb2c5', '915ccf1d0279d962', '0e04ac8477cdc1ba', 'ce4777cadfe8febc', '7f373c1d63fc0e8e', 'bd0014e1f2db0016', 'c4b807c5b04029a9', '3d4fbb163ed0c038', '8906b9e330be94d1', 'b266226a3d237e80', '7e8630a890a85545']; context = [[2, 42], [74, 116], [26, 99], [39, 99], [16, 80], [25, 70], [6, 64], [5, 73], [2, 43], [3, 76], [111, 170], [89, 133], [77, 147], [13, 59], [91, 145], [62, 105]]; loss = 0.014950 low_pass_filter = 0.300
+Epoch 0: | | 17229/? [3:01:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 17230; scene = ['b402605edf8cf6a1', 'df3bd90e82164904', 'f080ccd0ba94997a', '19f5a34b6f89863e', '2de9f3585e79aac0', 'cbe056c6fa310143', 'ce25ac41ba703fe3', 'a3374e65e7ab2960', 'd312969570f038a7', 'db46821f946ffb61', '3413fcf0a42522c5', '33c9561e60c5c3bc', 'c19efa0eb9d3fad5', 'af9da5714f72f597', 'ca566378f9664a37', '5ab36cfc1904db97']; context = [[11, 85], [103, 173], [110, 163], [0, 42], [40, 107], [1, 61], [17, 57], [20, 71], [63, 137], [6, 73], [3, 66], [3, 49], [4, 56], [49, 94], [31, 89], [162, 227]]; loss = 0.012502 low_pass_filter = 0.300
+Epoch 0: | | 17239/? [3:01:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 17240; scene = ['bced85140b42b6fb', '935f6c733d92461b', '83b6c9f023f5e600', 'c61da3d71ad8e0f9', 'bf5e6a47a4716b91', '24c59c5a704aa7b6', '47d29dd9a8ffabfe', '303ad82c328dbb2a', '4876b3c9ae30d8e9', '651138f67c6d6b41', 'c81f122ec9f9771b', '37ce659bf67aab5c', 'ce2311f4841f6a2a', 'f5f693c90f277db9', 'fc9aad400e937eb0', '6fa16bfef3201f86']; context = [[11, 61], [8, 79], [104, 147], [108, 181], [14, 66], [6, 50], [60, 106], [88, 147], [0, 45], [4, 75], [137, 209], [14, 70], [3, 44], [7, 48], [2, 69], [11, 80]]; loss = 0.012515 low_pass_filter = 0.300
+Epoch 0: | | 17249/? [3:01:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 17250; scene = ['21b43052b04845cb', '7f332d591ca1980e', 'e2ef2c40eeda8f3d', '1468285f818227c3', '74276916559f4ca9', '3d3c86d6e062354a', 'dfe8c32f21d4e1ab', '1176e233bfb25a61', '97e9ea755077ac70', 'f1be0daea4462dd6', '61b60c1a300d909c', 'ffe2fb4a8427467b', '5a59e99413560926', '592ebddcff4016ce', 'e3671828d14a9106', 'e0d9b82ec72e258f']; context = [[5, 53], [57, 110], [2, 58], [2, 56], [8, 72], [3, 62], [106, 173], [27, 83], [14, 81], [0, 59], [5, 55], [228, 273], [8, 63], [0, 41], [47, 98], [115, 184]]; loss = 0.014277 low_pass_filter = 0.300
+Epoch 0: | | 17259/? [3:01:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 17260; scene = ['bc80922928a2c064', '27b793c3c2deef0a', '8e3a30de58a7c09d', 'f69c13c057282656', '68c475f64bd7d97f', '43bd98a947ea61ea', '3c7e0966e4a6ea3a', '6a2eaa760582f0bb', 'cbc078aa6b6fd707', '8b9263af01b07969', 'da00eeceee79149a', 'd6fe2b5e5c936c9f', 'e9c5aa0b62318e18', '0ca1a94df7987762', 'dad96ef78afa5f7b', '28880239a1b0a38a']; context = [[117, 163], [69, 115], [5, 73], [35, 91], [33, 90], [9, 59], [30, 85], [120, 171], [3, 59], [5, 52], [7, 65], [5, 64], [16, 76], [56, 106], [124, 174], [39, 92]]; loss = 0.017403 low_pass_filter = 0.300
+Epoch 0: | | 17269/? [3:01:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 17270; scene = ['f4077924d862e6d9', '7bcc6fac9d4dac2d', '356f8e682d74a0b7', '631a74f12218a536', 'c7b726bf41c7363b', 'f86918b379c67b4a', '27f9f9c7ab8235ea', '8edab48b06f54f71', 'cdbf2daab70da231', 'b40b16262771f2d6', 'a379ab73e44fcde5', '6f80f712aa61163b', 'ad072011b7c0eea3', '902b883e64040f9d', '1503f70f0474756d', '52c4bb658d7e2c97']; context = [[10, 84], [18, 85], [18, 81], [9, 51], [5, 46], [180, 254], [16, 66], [73, 117], [58, 108], [7, 61], [7, 47], [13, 58], [158, 225], [11, 69], [97, 152], [44, 88]]; loss = 0.012824 low_pass_filter = 0.300
+Epoch 0: | | 17279/? [3:01:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 17280; scene = ['da3f0cd399134ee1', '1205a9b2dd994131', '884b01a2969cafb5', '9921d0170bc42477', '9dd1359a7d89a969', '93d66a602f2af051', '64eba6388f870042', 'b52b7ba8008b4fc3', '1c7814ba9f2b04ab', '2885dc9b24fa2561', '90725caa8444ac82', '893e18b1c719af1c', '444b8d72e943c9ae', '0024e835f897f4f2', 'b4df20323da24411', '9164e11049261164']; context = [[6, 62], [19, 69], [9, 78], [147, 190], [5, 46], [77, 130], [193, 267], [54, 123], [99, 158], [1, 45], [32, 76], [22, 74], [76, 119], [3, 47], [16, 56], [25, 79]]; loss = 0.013061 low_pass_filter = 0.300
+Epoch 0: | | 17289/? [3:01:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 17290; scene = ['d64d80b0d85f497d', '69fe0bbf2bb24244', '8e2f95c6e2e99cdc', '732cdb405077b80b', 'b5ffcfc422dbe3a7', 'c3914b367617df25', '5ac0f0232a8d4efc', '06860e1d99ae9f1c', 'f775386efb45738a', '12b4e77493c77d39', 'a8cfb2062202dee3', '3bbecfbe6c975b01', '585b9da654b196e0', 'c73ba4e9b8857f86', 'd692e48036144709', '85d7f4e0a5ef8813']; context = [[74, 146], [21, 67], [25, 95], [1, 41], [95, 142], [6, 46], [0, 43], [3, 65], [34, 94], [36, 110], [48, 113], [74, 133], [54, 94], [115, 165], [113, 173], [11, 83]]; loss = 0.016431 low_pass_filter = 0.300
+Epoch 0: | | 17299/? [3:01:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17300; scene = ['ab03c2979623d6cb', 'e9b9ad20889455df', '35e2e0c67e738b87', '605c98b35d15551d', 'a5d054dc249a0291', 'a7067337ddfb6af5', 'bea5493d136e28a3', '41d454a6a4ccc3c6', '8b81f3d28dd590fb', '090ced9a667843cb', '2daabb0611aabbcf', 'e9c6f415d779746b', '338d0fb7e58dd4a3', 'ebde595b532cf60c', '83222e191a9467b0', '34461872e645d034']; context = [[19, 64], [56, 101], [138, 187], [95, 152], [6, 67], [27, 98], [0, 43], [69, 120], [73, 122], [59, 106], [84, 144], [0, 50], [2, 61], [73, 144], [123, 196], [68, 108]]; loss = 0.012687 low_pass_filter = 0.300
+Epoch 0: | | 17309/? [3:01:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 17310; scene = ['c0c40d7196c94570', '5bbae3d047eb84f7', '6334a2ea61554ce6', 'eea4d2f46db72095', 'd6c7ef943acb2490', '5e0d1688b8de8814', '3db247f055f7e4ea', '18622e59c80cd655', '3d3facb1425b30d2', 'f3aaddb01fc4665f', '0ae6dfceec6e70ce', 'fc333b552263c2d2', '8f0141f1908720a4', '89cbd3905fe1aacb', '24c18086346dc4bf', '1ab86d3cb7c97ed2']; context = [[28, 93], [9, 58], [180, 249], [12, 71], [22, 96], [3, 57], [4, 61], [30, 97], [13, 69], [4, 44], [3, 56], [0, 48], [45, 103], [0, 48], [9, 55], [23, 80]]; loss = 0.014617 low_pass_filter = 0.300
+Epoch 0: | | 17319/? [3:02:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 17320; scene = ['a97842b559fa0582', '798149529949f159', 'd06e8e0e19cbac49', '80f0b92d65aad85f', 'eb7be33912a30b4d', '19ab113385187a33', '712676205fed832e', 'f8b30c578da2a67f', 'de7aa7d53bd63a7b', 'e2def0f395897d80', '111f2a26b60fd1e9', 'bf5e568f2fd566c8', '4685032f7cf33684', '95a3e58d4935e819', '40c71153e86a9e74', '37e73ee1ead027f5']; context = [[5, 66], [18, 60], [46, 108], [32, 105], [20, 84], [52, 125], [11, 65], [114, 179], [143, 194], [2, 66], [10, 66], [70, 120], [2, 48], [4, 47], [0, 40], [4, 74]]; loss = 0.015588 low_pass_filter = 0.300
+Epoch 0: | | 17329/? [3:02:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 17330; scene = ['fcb41b8d72e412ee', '7e615e541d99d32a', '98a1489e7e1ddb7e', 'ab8f4beb505d1a65', '80ec4b7db08e4eaa', '5b33a89aa20e7ced', '8985af98a78bbff0', '96d892a784206fd2', '859a2913bcb60fd3', 'e821ab915f836a82', '48457e629b7b9cf0', 'fd7d7b9675f10665', '042c8ee300f52641', 'a6cd9e57513d0f5b', '0ce3f01ab4230413', 'b81d8d1868189a77']; context = [[4, 50], [14, 70], [27, 70], [0, 44], [19, 77], [68, 139], [4, 55], [111, 181], [9, 73], [50, 105], [7, 62], [5, 63], [28, 77], [31, 88], [6, 74], [89, 148]]; loss = 0.015388 low_pass_filter = 0.300
+Epoch 0: | | 17339/? [3:02:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 17340; scene = ['b1c83e9447335963', 'c8e2e5dc5a80dc4c', '711eab9d5fe0dfbb', '2ce0e9269078c3a4', 'c835a755c41434e2', '0655e66efc0c661a', '002554f1f92ac083', '82f66287d5395dcb', '6b254e07da547826', '2392a428453da5e7', '8edf724cd98c75c0', '98e6b98fd8f06caa', '8b59ce9d21cdabc5', '9104b840dc8f8fb5', '29d6a3513da47b2a', 'e16c99ca127ef413']; context = [[3, 52], [178, 233], [61, 135], [4, 61], [22, 79], [75, 125], [4, 64], [18, 69], [20, 66], [38, 110], [157, 231], [229, 273], [5, 70], [42, 84], [115, 161], [82, 152]]; loss = 0.017629 low_pass_filter = 0.300
+Epoch 0: | | 17349/? [3:02:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 17350; scene = ['e7ae5d42e1d888df', 'f7f0c6e26e4ba0f5', 'f9b775ee94d60763', '736260ac22b3ee0c', 'd5108e50ecef6f1f', '4b6ce8f7863bb02a', 'd8125dfecfba4a01', 'e4b3ebbbbdeaf6bb', '5aeab7079ca7b9b6', 'bde29b6197404827', '8cd1361a46b83202', 'bc8f126be579d04c', '5f06b32ff913504d', '4ba2e9259191e39e', '0bf31e524bff9aba', '908d4889612ec67a']; context = [[15, 80], [43, 97], [15, 69], [55, 115], [41, 95], [136, 203], [47, 101], [12, 70], [11, 63], [117, 170], [0, 44], [41, 88], [25, 73], [4, 44], [0, 73], [134, 182]]; loss = 0.013469 low_pass_filter = 0.300
+Epoch 0: | | 17359/? [3:02:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 17360; scene = ['b43a3a4a11bd7b0f', 'a2f4df0f4041193e', '8df3badfb21130d2', 'd92ac4b209fa63a7', '3daf1d0ab98e86e5', '27d7650462d5f41e', 'cdfe3555d603c114', '03036efc7c7ae3b5', '6d957940e86de915', '5a99fe9366d19a76', 'e9c131103e70cb7f', '37df939509cbb013', 'd7b9f1dac0249ebf', '3f82be8d7f99dce1', '6817374ad089ff46', 'b24e1ede1a96a6a7']; context = [[16, 61], [104, 164], [156, 228], [4, 50], [11, 52], [97, 143], [1, 41], [103, 151], [4, 59], [20, 60], [18, 87], [24, 86], [20, 60], [15, 72], [84, 133], [14, 77]]; loss = 0.014688 low_pass_filter = 0.300
+Epoch 0: | | 17369/? [3:02:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 17370; scene = ['5e90ad5c785214d6', 'efcc78e944058193', 'ea4dc2ebdb122af5', '7ee233bf0f5ae3e4', 'd71857a07329981c', 'eccf1570ab9503ff', 'fac41d1437899793', '295b0768d718d6ab', 'fd6698d9c1b2edaf', 'f05c1d092c6ceb18', 'dc667e96abd53c22', 'e1571800001bf8a0', 'a7f56f92c31d68d6', '982713565101573e', 'b65fba5c9d43d86d', '5da91cae06b6bf6b']; context = [[10, 54], [25, 76], [110, 158], [128, 172], [6, 47], [0, 55], [2, 47], [0, 55], [25, 67], [30, 91], [0, 52], [44, 117], [107, 160], [118, 183], [67, 116], [3, 72]]; loss = 0.013522 low_pass_filter = 0.300
+Epoch 0: | | 17379/? [3:02:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 17380; scene = ['a9d0cd8dfee71c9f', 'bce98e8b68871207', '1b4c8f4eec6b6036', 'a77f347b88137277', 'bdd08755eb0975e0', 'ca4826b99127d53e', '057da8262a5b4f36', '3315c801dd9c35ff', '9f9250ed1d854f72', 'b2cccedbbe313d14', 'be214e004bc8d513', 'fddbc6d91c32a72b', '0d49d0970586d7e0', '38cbdb5443d28734', 'b75e800d18bafa7a', '46b40da68830b18b']; context = [[1, 76], [11, 52], [1, 47], [20, 78], [19, 64], [147, 205], [54, 117], [57, 107], [1, 73], [100, 153], [49, 96], [25, 73], [18, 74], [50, 117], [102, 151], [87, 127]]; loss = 0.015165 low_pass_filter = 0.300
+Epoch 0: | | 17389/? [3:02:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 17390; scene = ['819648da61dbdca1', '322d631f732ce283', '7e4ee0e5f3b7c07a', '396f071491b89018', 'f918e879fefa0dea', '58a00f0f88f0e24c', '011a3430ca6f8101', 'd446af748ea24aec', '9b299dd51856f116', '8383107415c03c05', '3f7521b807647a2c', '56470170ac493354', '3e26a7ae81ed795d', 'cac2787ed1114d1d', 'c738caa1e61fe2bd', '0ef454385d221501']; context = [[0, 66], [7, 81], [8, 64], [96, 137], [36, 102], [47, 122], [21, 92], [70, 132], [115, 182], [155, 218], [1, 69], [49, 112], [5, 63], [8, 48], [10, 50], [0, 40]]; loss = 0.012140 low_pass_filter = 0.300
+Epoch 0: | | 17399/? [3:02:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 17400; scene = ['d46375d124369411', '090832426d674a08', '742f91bd98a0bba4', 'd8125dfecfba4a01', '8cd1361a46b83202', 'bde29b6197404827', '736260ac22b3ee0c', '908d4889612ec67a', '4b6ce8f7863bb02a', '5aeab7079ca7b9b6', 'e4b3ebbbbdeaf6bb', '0bf31e524bff9aba', '4ba2e9259191e39e', 'bc8f126be579d04c', 'd5108e50ecef6f1f', '5f06b32ff913504d']; context = [[12, 58], [52, 100], [0, 62], [77, 130], [1, 45], [96, 144], [159, 219], [52, 125], [9, 69], [1, 61], [9, 76], [75, 129], [2, 43], [6, 61], [36, 84], [7, 75]]; loss = 0.012505 low_pass_filter = 0.300
+Epoch 0: | | 17409/? [3:03:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 17410; scene = ['351c033201dd3ec6', '979e786e327a2e38', '791584728efe6819', 'b623469ce6a192b4', '7eee34c42271e7de', '03a4631365a95cb2', '6b0cc71a66f4c9c5', 'e790f451efd033ef', '9157ddf2dd3a3b14', '62681efa3e636eb2', '922abf15861860a2', '7f5c45d7432da1d7', 'dd08310b8bdcc89f', '747c5303b3a489bc', '833ec6e8e97f90ee', 'a794d5115c3b5ebd']; context = [[9, 82], [99, 157], [16, 62], [12, 55], [68, 109], [89, 151], [104, 156], [133, 179], [6, 61], [1, 76], [50, 96], [15, 81], [14, 69], [42, 87], [14, 81], [113, 185]]; loss = 0.012872 low_pass_filter = 0.300
+Epoch 0: | | 17419/? [3:03:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 17420; scene = ['1fce2d5038f7fe28', 'fddcc097dac1d40e', '892c09bee3c83352', '8200350e9ff7819c', 'd87754ed09b69593', 'cefa2809ea418e0a', 'f3a1d7eb82514692', 'd584fda314ab11db', '7bd2d9814f405529', '87194474b33de348', 'b0518c605a1e2d53', 'd47dfc2801c4337e', '3523d4e31427de0c', '4936d5eff92eaf51', '74b28af6d0cbe407', 'c54a11071ab70c90']; context = [[10, 50], [100, 163], [11, 67], [15, 66], [89, 143], [90, 135], [8, 55], [75, 138], [11, 85], [53, 123], [10, 79], [165, 211], [115, 161], [10, 81], [20, 76], [11, 59]]; loss = 0.015745 low_pass_filter = 0.300
+Epoch 0: | | 17429/? [3:03:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17430; scene = ['267755c83099bcd6', '1defccf077f0cb9f', '131f4b24b3adc68b', 'fc22b9ea83ee6129', 'bf2a091aee527aee', 'f499af4f4aa4a5da', 'b59df77ae2c66f67', '5250b4d2feada905', '787820e1ad9acf62', '97c87af6e2a772fe', '418dbf076c78be3b', '350a508a31e0b121', '2be0a2db028836f9', '17f9beb10ab4ba3e', '26865dfe439caf77', '2fe3aa52ae31c484']; context = [[83, 136], [59, 113], [26, 74], [72, 144], [47, 97], [57, 99], [10, 53], [221, 273], [24, 66], [0, 44], [15, 75], [51, 126], [11, 52], [50, 111], [20, 75], [13, 78]]; loss = 0.013091 low_pass_filter = 0.300
+Epoch 0: | | 17439/? [3:03:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 17440; scene = ['3025fdd5fa3cab26', 'ba732b05e2126d05', '9f557ea23b237b5d', 'e60e83f6a5038716', '43ffa708c75c05b3', '731c9ff11c178e47', 'a48cf82be0b6c8cf', '0664d28ff022567f', '9988a33ae078c5ab', 'dc48fb4d76502068', 'dd06e9116d7be16e', '32c01e25cd9ebe0a', 'c98d6a4285ef869f', '9a177d5e00f6c9a0', '026e5026fe833465', '8ebea716db7c0f02']; context = [[0, 45], [114, 181], [38, 79], [34, 104], [142, 184], [6, 67], [22, 87], [4, 69], [57, 124], [10, 72], [53, 123], [2, 74], [58, 112], [204, 256], [2, 54], [23, 86]]; loss = 0.014794 low_pass_filter = 0.300
+Epoch 0: | | 17449/? [3:03:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 17450; scene = ['509b1e02caf26c87', '401d613411455d81', '45757180e1c12ce8', '693d588a583849ad', '8921ef8893fdaed2', 'a320094a231f17ba', 'b50af07e4b9609bf', '22a4b69b693258c1', '0dd29f122833ce26', 'e44a2b796169f1c8', '59c2db73473daf48', '6b8d226b03e351ec', 'b952915e6460baf5', 'd0c14d4e1d752e36', '64c293c5230dfcbd', 'e9e7bf21d274fc47']; context = [[17, 88], [1, 55], [94, 146], [1, 54], [24, 86], [29, 89], [9, 67], [18, 86], [6, 78], [115, 171], [60, 125], [19, 60], [55, 108], [23, 73], [221, 262], [22, 70]]; loss = 0.014651 low_pass_filter = 0.300
+Epoch 0: | | 17459/? [3:03:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 17460; scene = ['0ed741df4437c6ba', '8e1c0bc2d1f32fb0', 'a9b437c1a771c642', '957517b6ed4d0048', '1cff69e73b827bcb', 'd3af8e3b7f354487', 'caa51283afc66cae', '164e9587927eb0e9', '19d8bdb03483f22b', 'e49a8cfe43324b39', 'b9041f3866054b98', 'f0e2fbc100b909de', '8785194038f2f17a', 'bcf155ca528146af', '657c0096dec50564', 'a270530af267f572']; context = [[5, 47], [0, 67], [11, 82], [138, 185], [48, 93], [118, 183], [2, 70], [6, 49], [101, 146], [69, 140], [44, 88], [1, 71], [4, 48], [112, 154], [32, 104], [2, 59]]; loss = 0.014203 low_pass_filter = 0.300
+Epoch 0: | | 17469/? [3:03:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 17470; scene = ['312cd12b9be29819', 'ed9391a68fe3d44e', '16a3dad8315912bb', 'c5588bc0268e5c81', '1213705aaba383fe', '9f6cd98accd3b4d5', '866936c75c96b8a6', '69ed0049628008a8', '353c4cf99acd87de', 'a13162d1f72e42b5', '0f8bf49cb1f8fe83', '342ecb05b0677ed3', '65eef4383bdfe37d', 'dbe94aa979726674', '61167fa04f1a6101', '90b306ed852539f7']; context = [[10, 52], [9, 65], [3, 43], [8, 58], [16, 58], [3, 45], [75, 149], [108, 153], [5, 47], [9, 80], [3, 69], [97, 172], [25, 77], [84, 132], [29, 101], [2, 72]]; loss = 0.013588 low_pass_filter = 0.300
+Epoch 0: | | 17479/? [3:03:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 17480; scene = ['3de1498cc3dc5051', 'd71857a07329981c', 'd53e34588589505c', 'a913e7af2361fa6f', '18d54ee95eddac1a', 'efcc78e944058193', 'eccf1570ab9503ff', '5e5f701fe882a93b', 'aeb3b560bf97252a', '5e90ad5c785214d6', 'ebe7deb04669edf3', '4055b055606e283b', '4bacf868d6095406', '645a09d7d7670e8d', 'b5260341870c7aa0', 'ca2389f5e4fcfe61']; context = [[7, 61], [21, 65], [30, 81], [13, 81], [3, 53], [33, 86], [2, 53], [17, 58], [25, 91], [2, 43], [17, 80], [3, 77], [102, 148], [204, 261], [2, 75], [59, 126]]; loss = 0.014367 low_pass_filter = 0.300
+Epoch 0: | | 17489/? [3:03:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 17490; scene = ['0634374c580b561d', 'c5c356c376c91cd3', '81a3a9bc0210e6ff', '2a24ab8cf430a3a4', '9d6350a3fac739f0', '8cd78babfa1f6285', '38c12a529bfad8b5', '55c617bb076c3461', 'ee89c7384cdb8971', 'f53a324e7aab70d3', 'ad4b81bb89bc6525', 'a8308ce726296b25', '6aa0dcada008156c', '26cbeb9c90a8c39a', 'a8c36697aa4bea80', 'd28280a7e6f82721']; context = [[67, 138], [145, 214], [64, 130], [28, 86], [0, 66], [14, 57], [14, 77], [21, 86], [25, 97], [9, 62], [21, 94], [15, 65], [2, 61], [5, 61], [1, 58], [28, 78]]; loss = 0.016990 low_pass_filter = 0.300
+Epoch 0: | | 17499/? [3:03:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 17500; scene = ['1e74df91253f798f', '6f87f07dbbd9dee1', '552abde110646aec', 'a38083b7f91e9136', 'ef3cf47b9104e1cc', '765354e371de6bff', '115006bd11398ec2', 'd51832865c93b823', 'ebfe53e25fe66246', '8d400f057e8eebc6', '7e28c5a1b7cc7005', '8752076a3127d88f', '780ad45fced462d7', 'a9b070f212e5f277', '58f4b2ce84d33565', 'd2757e2b5edb04c5']; context = [[3, 49], [3, 70], [166, 240], [15, 77], [44, 102], [14, 83], [4, 69], [14, 64], [13, 72], [100, 155], [143, 193], [16, 75], [26, 80], [24, 99], [9, 80], [14, 82]]; loss = 0.013523 low_pass_filter = 0.300
+Epoch 0: | | 17509/? [3:04:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 17510; scene = ['a5f125662576269b', 'f417a4c162176abf', '474449a5d3172644', '0dec435cb47386ac', '2f9893144523fdd9', 'b415eb0a7def34c2', 'fbb1981f595c47f3', '3620a7e99b83f48f', '0cf4667328f5b6d1', '76d99fe5793755ad', '2f4670e943868545', '8e275c7036a72750', 'eb971dec77a65942', '18aa1d3b3874f1b7', '425d0e1ced14eb61', 'fc9c7892225d8380']; context = [[40, 80], [15, 56], [22, 72], [13, 77], [8, 66], [24, 67], [15, 64], [6, 72], [188, 251], [1, 55], [40, 82], [29, 89], [8, 55], [1, 75], [82, 123], [210, 277]]; loss = 0.015341 low_pass_filter = 0.300
+Epoch 0: | | 17519/? [3:04:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 17520; scene = ['9a38c7681395953e', '1013958b9d5a57fd', 'f945ef1435f282d6', '2f7f9e93ff483426', '79c7bf6786e0ebd3', '01d682669977e183', 'fbaf4cb6ae4fdc16', '5cc90f5e8a0c2294', 'c15f89735f492499', 'cbf4eae0bd2d93a0', '0aace4d8c106c807', '32fa0c47f615dae4', '8457c4d4e8665a69', '05a92ceeed81751b', '3e9cfe1d412ca8bf', 'ee5e43c838b7d0b7']; context = [[91, 154], [85, 150], [96, 155], [24, 74], [22, 63], [32, 85], [21, 64], [0, 68], [63, 103], [3, 55], [11, 79], [0, 41], [73, 118], [84, 126], [119, 179], [92, 132]]; loss = 0.015152 low_pass_filter = 0.300
+Epoch 0: | | 17529/? [3:04:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 17530; scene = ['ca31f5df8294e2ef', '85e1e791eaaaf4a9', '34ba90ddf627908b', 'baa5664b5ea5348e', '212f736c5bd2cba5', '8611ede4ab1a5aba', 'f0c9b2f1ffee3826', '782d8b471d07d7b7', '3692aa2fcb9fc76f', '87a6c100429590f3', '1f23ff34bb3a2684', '36333e8f8b17b87b', '9be4f3ccea766a3c', 'a093a44bab86f0d6', 'bc74ad2a279e2f06', 'da90c9dc0f6502e2']; context = [[53, 123], [51, 104], [0, 58], [12, 64], [150, 193], [0, 42], [14, 58], [44, 101], [30, 81], [104, 171], [38, 83], [5, 58], [201, 273], [1, 42], [23, 69], [36, 104]]; loss = 0.016260 low_pass_filter = 0.300
+Epoch 0: | | 17539/? [3:04:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 17540; scene = ['42474d2341a3c55f', '3485481ecd306c8e', 'e40b1d559ccedb4d', '768c7eeb58db7cea', '440d247c44b072f5', '11cd99e2cd274b62', '3feced7708ece4f7', 'd04f5f108918d585', 'a064dfb6451efdb3', 'b14446b50f6fb483', '40c54a1625c47b3e', '3ddb729ee8e239d9', 'd301910c2476c759', 'f3bd671c41cf77ae', '2172dd5a2826f744', '0a6742575ae13c8e']; context = [[12, 82], [19, 62], [10, 58], [6, 67], [0, 40], [36, 98], [33, 79], [0, 44], [119, 170], [9, 78], [1, 64], [1, 44], [4, 60], [1, 71], [4, 48], [25, 99]]; loss = 0.018176 low_pass_filter = 0.300
+Epoch 0: | | 17549/? [3:04:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 17550; scene = ['c39f05decd5db5f7', '1afb80edb0fa9ceb', '5a7388a6a53863c5', '964b5660d29e4821', '69029690713e2555', '270ec2d099edfccd', '9244ece752e135b3', '25dd017c409dc6ff', '9af39f3dadb1471e', '072ace91e2fef373', 'b0139ba67c176260', '1b2e793d39caec3f', '06e9f26b5f803220', '5a38b8d664c399f4', '4e9db3bc5db9f691', '03280514551fe5f1']; context = [[146, 195], [9, 66], [112, 178], [2, 68], [70, 131], [86, 130], [73, 114], [89, 149], [0, 62], [17, 92], [141, 187], [51, 98], [4, 60], [4, 56], [42, 107], [72, 143]]; loss = 0.013713 low_pass_filter = 0.300
+Epoch 0: | | 17559/? [3:04:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 17560; scene = ['e0b0cf7daed6dd9d', '0157375f8be4eb08', '3cb28ed53ac1075d', 'a2802eff47145236', '6c947188060d63fa', '16ae723b5ea83d17', 'c6b766c56936232a', 'd3565c00df307d7e', '229616382aa1821d', '839fd6fec6c64078', '9a138b4264e60031', '8ef4f30ed29a96d6', '7a934e195eae5efe', '8c64d85ded4c1376', 'd9559f8d3a65cca7', 'a9a0874cc5a2987f']; context = [[15, 57], [0, 73], [122, 171], [18, 82], [24, 98], [75, 119], [22, 64], [7, 70], [49, 90], [21, 81], [7, 53], [2, 51], [208, 268], [11, 51], [25, 69], [63, 109]]; loss = 0.015096 low_pass_filter = 0.300
+Epoch 0: | | 17569/? [3:04:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17570; scene = ['b43fed931703ab76', '5406f3e3f53b842c', '199a9ef5a23a3db9', '4f169d470b87ffd7', '341986d27509ff20', '43dc5c8c8859dc3c', '9d52321034c270c0', '3820cb5d4ed07d1b', '4f41b0ce610b9bc5', 'e07e08f341770ca3', 'bb6af706745a579c', '6cdbcf635b46fa7a', '6ac5014676fde670', '1cfcb6959bfd3834', 'd428826914bed12d', '6915c82c1126fc3b']; context = [[10, 53], [0, 40], [16, 87], [11, 76], [75, 130], [2, 66], [22, 72], [142, 190], [2, 57], [22, 91], [23, 98], [9, 62], [11, 81], [4, 55], [74, 122], [3, 46]]; loss = 0.014532 low_pass_filter = 0.300
+Epoch 0: | | 17579/? [3:04:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 17580; scene = ['c77b2964c2ca9b6f', '0ca0911df7c66c58', 'd8cb90fd13152e6c', '4801c55743478ab4', '7ac3519a24738854', 'd998d161753e9542', '946f96dfadda281b', '3dd1ee9ce46014e0', '4a2c069d7bfa3eae', '0788c973574d562f', 'ab84bd6ad2c3f20e', '93d6fe08c5fe3965', '5014fb135ed72420', '9d87291c4517b496', '417a1b0f11a38cb6', 'df87424ea7d30296']; context = [[9, 82], [1, 61], [2, 49], [2, 65], [32, 98], [21, 90], [160, 226], [9, 81], [38, 84], [99, 143], [106, 156], [1, 41], [43, 118], [33, 99], [203, 250], [12, 71]]; loss = 0.013642 low_pass_filter = 0.300
+Epoch 0: | | 17589/? [3:04:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 17590; scene = ['726308ff6efdfd6b', 'd1c051ae4be20ec4', '8722720a664abf19', 'f0ecfa6adc842a59', '4730e386adb917c2', 'a812f58a9b8d7199', '9e42631ecffc78cf', 'd94399261b4e49c9', '9a6c0a466d9c7169', '6b8d61bb315de80a', '86ef5385cdeaec8a', '85da9a81859f2db3', '635f9dbac22cb932', '54492a0ed1a54bcb', 'c25b0dba47e6f0b4', '14515b7aad0cb3ae']; context = [[27, 87], [7, 64], [202, 246], [2, 44], [9, 74], [41, 81], [73, 113], [168, 242], [0, 75], [46, 99], [10, 54], [78, 144], [1, 75], [119, 185], [2, 73], [108, 167]]; loss = 0.016883 low_pass_filter = 0.300
+Epoch 0: | | 17599/? [3:05:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 17600; scene = ['83c1f7a379ea16ad', '328685fe320f8caf', '73d6e8f488210f99', 'e952a7cca40f58ec', 'f9094c90afcf8600', '1d9b244f08c05ecc', '1ce226302cc7ac0b', 'ef54a1b494edb817', 'aab67a3597f28686', 'ab68591f26d9260e', 'c357fbd8aca05570', '7b35272288d086b0', 'b2c77ad4b2ae4a5e', 'be45caa2a12b11ca', 'e4c54fe00077ef30', '0844cbe39de75955']; context = [[9, 60], [3, 61], [12, 71], [35, 92], [43, 104], [225, 274], [28, 71], [185, 226], [51, 120], [31, 86], [32, 89], [18, 58], [3, 69], [2, 45], [82, 127], [13, 64]]; loss = 0.014769 low_pass_filter = 0.300
+Epoch 0: | | 17609/? [3:05:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 17610; scene = ['54b364a3d8983e86', '7b2b4c31dc0a98dd', '88138218ce0d9815', '93e073dacd2fb8fa', '8be7e7072ded8bf1', 'e726107dc0960b84', 'e5fcf91861976c52', '4e9a57b7b6251f7d', '9b3cfe046be3e8ee', '72041f589d07cd7e', '3c73f1781509385a', 'e180388557757f94', '1e39911abc875318', '112e8138ff0b1d32', '9422ae076b340dfb', '391fbd8d9a5d869a']; context = [[75, 141], [67, 122], [0, 57], [202, 251], [184, 236], [9, 53], [147, 199], [1, 52], [23, 72], [21, 75], [7, 64], [17, 89], [21, 94], [84, 125], [9, 57], [183, 227]]; loss = 0.018040 low_pass_filter = 0.300
+Epoch 0: | | 17619/? [3:05:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 17620; scene = ['fec87b0585b93bda', 'a9ccf989917513be', '06ea674963ad018e', 'ceccd6c382258f2c', '9c1dfe99d620e067', 'f267fae80c44a76a', 'ede519568d462760', '61abbc7700ddb727', '75bb1b9c01a50796', 'eb793675ecc39723', '0e4af9730b0c31e0', 'affb981ea8935a36', '4acd22596e418973', '55c41fd92228939b', '6392f81fbdf07025', '4b4df0a0720dce99']; context = [[8, 49], [10, 71], [192, 250], [8, 81], [86, 155], [58, 108], [0, 48], [60, 107], [4, 56], [34, 91], [12, 60], [13, 70], [9, 72], [20, 80], [35, 105], [14, 76]]; loss = 0.014618 low_pass_filter = 0.300
+Epoch 0: | | 17629/? [3:05:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 17630; scene = ['c099cc1334a00915', '631caf62e5167b66', '6c7fe82164727eae', '6c7379b0be88feb0', '7a82d470ad5d5855', 'd0d549b00c25ee58', 'adde543e98ec0342', 'c08a5ec56e05c975', 'c40e72607ddae9c5', 'a3436e3b6d289dcf', '79966d1fef70f0b6', '993c3b3734240eda', '3653999b060232ff', 'f7f6647e5733d3fb', '443a9edb97b38126', '1e4386d32ed7e8aa']; context = [[44, 104], [147, 192], [1, 41], [69, 110], [53, 116], [5, 54], [24, 75], [66, 114], [23, 73], [63, 110], [0, 58], [37, 77], [18, 83], [0, 63], [49, 116], [157, 231]]; loss = 0.013217 low_pass_filter = 0.300
+Epoch 0: | | 17639/? [3:05:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17640; scene = ['f104ffb71d1a86a7', '89096426f1642005', '302b12949a8dfb69', '4cfe80ef620a560b', '7d300bcf6be1f7f5', '1207a79a1b4a26a3', '88117e6f31ed2588', 'da42e86640cf873c', '277a6968427de6b6', '56d32f545fd27e98', '36b64da650527aa4', '40346b8d1d47f14d', '1de951bd50659e1b', 'fc2df70f06f58864', 'c93b8f98000e6ff4', '906bc5e8f23e2c4f']; context = [[20, 89], [6, 57], [39, 88], [23, 71], [3, 62], [123, 164], [9, 81], [1, 75], [42, 83], [29, 95], [21, 61], [3, 77], [55, 96], [15, 77], [71, 116], [13, 67]]; loss = 0.013628 low_pass_filter = 0.300
+Epoch 0: | | 17649/? [3:05:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 17650; scene = ['c85eadbc32f2adb0', '0421b2f436f8639b', '4633b2da2c16f0f2', '7e73fccfa5fdbaf8', 'dcb9b6cfdd71641f', '8a3e53e6daac0cd1', '1fb9d73ad18c54c3', '844b7860ccbe4b20', '5a013cbb504f1af4', '33765206792aaa14', '3bcde1edefccda53', '42e57c285ed7edf9', '1c468e394192c313', '765f5573b2c0a57e', 'e1f9b356140f5da5', '90e525113f00a298']; context = [[127, 200], [106, 176], [7, 54], [27, 82], [5, 67], [6, 47], [111, 181], [24, 75], [21, 93], [26, 87], [18, 72], [5, 69], [49, 91], [20, 82], [6, 53], [31, 81]]; loss = 0.015704 low_pass_filter = 0.300
+Epoch 0: | | 17659/? [3:05:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 17660; scene = ['3a956584819acc7f', 'a88722d900d57a48', '5a0599afb3968bf7', 'd6f4a941a42c6eac', '6f164beac14b54d6', '218ad16a0a54cab4', '6b69daf57ed94a08', '060a90d9a3af1a5a', '65c1d7ee44b2a2a9', 'f51c7c1d017851f7', '05c0e618628403f7', 'c8539a201de22003', '03e86c713a19368a', '4e5972ddf51ddea0', '5cb68a057d09b157', '2ddce9853610d50f']; context = [[22, 89], [65, 124], [52, 94], [27, 69], [99, 147], [10, 75], [74, 142], [141, 204], [13, 81], [17, 91], [20, 60], [73, 136], [32, 80], [38, 104], [20, 83], [44, 104]]; loss = 0.012550 low_pass_filter = 0.300
+Epoch 0: | | 17669/? [3:05:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 17670; scene = ['2ba941b1e533d50d', '042e949b55e0c306', '0476107845eb67e9', '48b84ebd9166652f', '2bf4a3ae29fde52d', '4ba8aab928daf0c7', '32078eb83807dbf3', 'd1a5538f3ea4bb56', '94a8903e772b748d', '61ddcdd79d0586b8', '2439d921b0ded44f', 'e6aa35fa03162303', '9e5caa15739ef3b0', 'b809f86166cf31b8', '3117ac544da725ad', '4564448b2f24c851']; context = [[8, 78], [83, 143], [95, 139], [9, 51], [3, 63], [16, 85], [3, 68], [11, 64], [0, 40], [40, 102], [0, 47], [16, 79], [160, 226], [47, 103], [28, 77], [75, 140]]; loss = 0.014428 low_pass_filter = 0.300
+Epoch 0: | | 17679/? [3:05:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 17680; scene = ['a7ec0334b3040678', 'bed50122582298d6', '7fcfbbf8ce73e9f2', 'f7b279a4f56e5428', 'ec332f99c36bc7d6', '63a83a8d50d79f02', '2d24de854dd09f2b', 'c8a73564d8b4de57', 'f3240c7519b47306', '288dd95c3585b110', '83da596fda844e13', '8387b3316a67cfeb', '8dd464d6d2de71b7', '0e0e3aa58ca368ca', 'e24c92984ba44023', '684d1bf6c5e9a5f5']; context = [[109, 165], [32, 96], [146, 209], [18, 79], [6, 51], [109, 160], [66, 109], [148, 190], [2, 54], [0, 66], [0, 56], [0, 40], [14, 70], [3, 44], [37, 101], [61, 136]]; loss = 0.014072 low_pass_filter = 0.300
+Epoch 0: | | 17689/? [3:05:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 17690; scene = ['11f64a6aade54c12', '977b59e04db8d8a2', '99edafef75e13593', '35dea7ca0629d8f5', '13dca51f82b69bc8', '0c71ef124468ec2e', '10ec327f7de6ac81', '5956792e29d4fb15', '2971b9437dfaebbe', '27d0b196b2681fd2', '8a8b61101aec5238', '781afbd41e87c025', '540c9279a5df9238', 'e363997ea65563fd', '63189de80ccf3a17', 'e18e70c8df6d6592']; context = [[11, 83], [23, 86], [9, 65], [20, 75], [1, 70], [12, 73], [63, 130], [13, 81], [1, 56], [53, 126], [41, 108], [15, 69], [38, 111], [51, 94], [55, 121], [23, 99]]; loss = 0.014059 low_pass_filter = 0.300
+Epoch 0: | | 17699/? [3:06:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 17700; scene = ['328821801f4d3dda', 'f4d325e6809e723c', '04eb07d47a8d4bc6', '7a9fb6625e390c63', 'f90d05da9e66a146', '767b6c225b813bc4', 'a33bdc7dd1838c9a', '44100be914cde1d6', '8547a812b9cc6bda', '4f1af4a58b5dedfa', 'b4272c9622c487b1', 'efd11436686a1d4d', 'fdc2207613d5c1d1', '4fb7f3cd39ad726a', 'de2d4cbe0813a9cd', '9928480e57340165']; context = [[1, 45], [189, 253], [8, 48], [98, 168], [37, 110], [54, 113], [58, 111], [105, 155], [33, 73], [20, 85], [72, 147], [19, 68], [179, 251], [13, 59], [0, 40], [70, 134]]; loss = 0.013055 low_pass_filter = 0.300
+Epoch 0: | | 17709/? [3:06:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 17710; scene = ['75dde7780f57ce88', '404f9015683d7328', '9897e4c894b0b1f7', 'cf4e473d785e36bb', 'c7325a8405a11e20', '6a00254256e7d9ca', 'eaaf81aa1bc440be', '61edc60f38c95391', '2d77b1dd90856337', '8e92a7934ae4139c', '87035f1ba62732a4', 'f64045579327a423', 'd8ecce19c527bd68', '3990880b3e15ac36', '1d8bf12e2ba493f9', 'b28f52f3b7b8805d']; context = [[5, 67], [1, 57], [39, 83], [78, 151], [16, 82], [21, 93], [27, 100], [67, 115], [2, 56], [171, 245], [10, 60], [7, 67], [190, 258], [13, 82], [8, 62], [75, 150]]; loss = 0.019611 low_pass_filter = 0.300
+Epoch 0: | | 17719/? [3:06:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 17720; scene = ['056d2ba0e6fd8999', 'bbf8fe89da545493', '2484419f2f1e653a', '62212b0b9b6a3ebf', '013592eaaecbccad', '4fdcea4567daef29', 'c2fade5ac6e887f0', 'c63ba33b6c9272bb', '0a17490f497bd40c', 'c4b873a132c2d206', '45ad2a7cd8228580', 'a352fd5d80869b72', '7bcf3d2dab7bcdb7', '2b6d2569e7101687', '9603b71f48db69c4', '9eedb5eec8cfa768']; context = [[74, 126], [17, 63], [40, 103], [49, 117], [106, 164], [32, 85], [16, 78], [7, 66], [29, 102], [13, 53], [182, 240], [7, 72], [32, 78], [6, 56], [27, 73], [4, 65]]; loss = 0.014591 low_pass_filter = 0.300
+Epoch 0: | | 17729/? [3:06:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 17730; scene = ['d059e03df51cd36e', '6f8cce689756a07d', '2088ec79cded5c6f', '51f33cc6d9666bb2', 'f792272e396d1964', '2aaf84176521c42f', 'aa97744d1ed6c13b', '9f3a66dc64d7fdc9', 'c92d3baa79f78d32', '4ca08ed9abd6d4e8', 'c3db550fbcb1f2b1', '162bcb36d182892e', '95c06eb39cbc2f89', 'eb09cd7e9ffbe950', 'c5202610b421304f', 'b7aab68953b46e64']; context = [[1, 70], [21, 91], [5, 51], [5, 47], [57, 103], [97, 144], [13, 53], [9, 85], [3, 68], [22, 98], [6, 71], [14, 73], [4, 50], [42, 105], [22, 84], [4, 47]]; loss = 0.013748 low_pass_filter = 0.300
+Epoch 0: | | 17739/? [3:06:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 17740; scene = ['2f74b757e9ea84d2', 'd8563131cb9d153d', '5a32c690eedfa60e', '34857ba0aee5fcc4', '83ecdb9bcebfa8cb', 'a341f339c80467f7', 'caca9c97d32372fe', '13a12740c5d84057', '4a9619f6264f92ab', '4bef29cc7955bb9a', '44e1b5d813809be0', '1134a76f064459d4', '428af7a35d38dfdb', '27440f6abe018a1e', 'ece124223b858624', 'a55a64e116b5619a']; context = [[48, 92], [8, 50], [21, 65], [40, 106], [85, 136], [25, 85], [116, 165], [16, 56], [18, 82], [8, 58], [10, 78], [189, 238], [2, 48], [3, 71], [0, 58], [5, 75]]; loss = 0.014331 low_pass_filter = 0.300
+Epoch 0: | | 17749/? [3:06:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 17750; scene = ['067ffc09a8292608', 'b996287cfb9598a8', '025e2281869d6d5e', '1bc9fbdf65172450', 'a00336fee4986bba', 'b4d593fa0dc9c225', '8ec88b1dcf6d4c3d', 'f0901995101147b6', 'f7304c97d6479afc', '2d8b785151360d84', 'b2c8cf3f01c1260f', '3507303b73e6bb89', '51408dcc2c36867a', 'da2a7bb7a32a94df', 'b6f793dc97f8680a', 'ed9de3b95ffec046']; context = [[11, 82], [229, 278], [4, 79], [35, 76], [116, 158], [103, 163], [122, 164], [1, 44], [8, 52], [48, 108], [38, 109], [1, 53], [37, 79], [172, 219], [6, 58], [4, 50]]; loss = 0.014785 low_pass_filter = 0.300
+Epoch 0: | | 17759/? [3:06:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 17760; scene = ['b34bb5f53856d34f', '2d390b8ecfe886e1', '2c4ad0411fbbcbad', '71fc46b7729510b3', 'bb74150dff7c8361', '117b499c70003886', '702b465575fb38f3', 'bcca5d9c32b982fd', '6e6687bf44529106', '847c60aa8c87bf36', '1f3b748bb3a1a12e', '19b93321c17f79ed', 'ee8ab2f1852dbad4', '23ddd033854eec57', 'c73baa525c7917c3', '6a54293527f78617']; context = [[1, 41], [0, 54], [68, 141], [0, 42], [94, 154], [50, 106], [20, 85], [218, 267], [7, 68], [4, 51], [57, 120], [65, 116], [8, 77], [4, 58], [28, 85], [6, 79]]; loss = 0.013902 low_pass_filter = 0.300
+Epoch 0: | | 17769/? [3:06:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 17770; scene = ['da5f57f3a1ec4bd7', 'c18059287117dc42', '1f1744b617eb9080', '30ad1d6e17b4922b', '36752f8fe51ec622', 'e1cdd73fcf663dff', 'a2c3934b695a1514', '8c1ea3036d433d59', '95944b694ab2fe24', 'b06d8179dc790851', 'ba856f9451354f41', '10ec4d16f705a260', 'bdcac8b99ca28946', 'c852959b09375208', '784c61ca74d732ae', '4b94b69778b899fa']; context = [[43, 85], [73, 132], [40, 91], [6, 74], [148, 218], [0, 63], [137, 210], [85, 130], [14, 56], [38, 80], [123, 190], [24, 86], [0, 76], [39, 113], [107, 151], [7, 70]]; loss = 0.013778 low_pass_filter = 0.300
+Epoch 0: | | 17779/? [3:06:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17780; scene = ['c2368674dc54c1ab', 'dcc9c17c7f2bf955', 'd247b250c6bee35d', '8bbc276264c2e22e', 'a130156902221ac9', '22622ccd2958bde0', 'd2216c8ac4d59886', '4b90cae479c267b5', '331112aba367bf0d', '263c6f3caec45900', 'e2b6581f1a1a2fcb', 'a43b3a139f3046f6', '1155d2e97e08de55', '9a62cfd89a0167d2', '97f589998f7a56ce', 'c9414cea2b26c0d4']; context = [[33, 83], [88, 150], [10, 61], [1, 68], [13, 82], [7, 76], [2, 45], [11, 83], [9, 77], [7, 72], [110, 182], [11, 59], [7, 83], [28, 73], [57, 133], [156, 221]]; loss = 0.018610 low_pass_filter = 0.300
+Epoch 0: | | 17789/? [3:06:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 17790; scene = ['d24a8a424be5ee95', '871cf978eabbd334', 'b7cee0f05d6e2d43', '1fb87f49a970a14d', '0cf7ca36e28ce263', 'd4f5fdc1d8338a47', 'ef58dba812b12ef0', '97a75ae6b0fd90ff', '75933e11d3115802', '63b0f36fa4b80593', '6d61ad929ef27967', '1ad53dc4573083e5', 'fc2a6fbf654d942d', 'ab105e8f1d99150f', '899be620f6c32deb', 'b6cad6be37c89009']; context = [[48, 117], [72, 115], [0, 40], [30, 72], [13, 67], [6, 76], [153, 197], [0, 44], [21, 70], [33, 91], [156, 222], [47, 110], [41, 90], [51, 104], [14, 54], [98, 166]]; loss = 0.014818 low_pass_filter = 0.300
+Epoch 0: | | 17799/? [3:07:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 17800; scene = ['c1b47e97d4900463', '15cf3ed7934403d8', 'f556938f650246ca', 'df984569c30f742d', 'a808409bf8cc67dd', '220fa19b554d31e9', '635a6bf8d8bdfb56', '6ca05333791746c6', 'a1b6b2fba25cb6fb', 'b7cc2057e5de1cec', '8f7fccb6c673939a', '8ae77ba2c7995dae', '25af776a8c26fc5d', '3dfdf65958a3a147', '80b1821ff73c7ae3', 'e7d421b2fea9ec9f']; context = [[105, 176], [19, 88], [11, 60], [2, 60], [196, 260], [11, 62], [142, 209], [202, 246], [3, 49], [1, 62], [17, 85], [11, 80], [3, 65], [5, 71], [29, 95], [10, 71]]; loss = 0.013614 low_pass_filter = 0.300
+Epoch 0: | | 17809/? [3:07:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 17810; scene = ['9c34287c66be9375', 'c702d7ac1f3eb359', '7c2e562c6df590a0', '597a7b1d1a1db7e5', 'd542ff37459bd8a1', '8ec42c5dfea6823b', 'c75f2ccd789133d3', 'b1cb82b0ad9e50c9', 'a273c53ccc48f262', '930a6aabe04089e3', '64db7512182c3f7e', '06a98db04d55c991', '2b02940f6e4300ab', '12944e020e37d73e', 'ae9963ff8cd6c4de', '6a4fd90c10640037']; context = [[38, 104], [1, 49], [20, 75], [150, 193], [169, 237], [20, 93], [6, 53], [0, 46], [41, 116], [54, 94], [22, 74], [33, 78], [5, 52], [21, 79], [1, 54], [45, 94]]; loss = 0.012283 low_pass_filter = 0.300
+Epoch 0: | | 17819/? [3:07:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17820; scene = ['3b261bf9b0e4f0d2', '71abb6fe45f2237a', 'e54b1e990bc7b662', '45f8438cecfb6cae', '701a83709009e202', 'e939bcbb98acc5a7', 'd0e629ae85463d04', '894fa42de50a917d', '05855445f6399e01', 'e08bed0014d3fc22', '0fc1880ce9953772', '27f65dfe1a368d7b', 'd8a96058b9a6eb1e', '5fb223627a096342', 'b1a6d0b3474187c0', 'ee80a8b9b2f8246f']; context = [[62, 105], [35, 111], [18, 67], [89, 147], [18, 81], [7, 72], [12, 60], [24, 74], [8, 65], [2, 58], [4, 61], [0, 71], [35, 106], [11, 79], [0, 70], [0, 49]]; loss = 0.013044 low_pass_filter = 0.300
+Epoch 0: | | 17829/? [3:07:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 17830; scene = ['e180871351d3a437', '44e23b277c9e3a0c', 'b35553efd3f434f6', 'c35a9be3aea62e68', 'ee5ca9e0d233a884', '1357d340440e8462', '62dfdebbca369218', 'f356a31315da1ce8', '546bd8e2d7bce1c3', '314e7a92a949625b', '712843fc7700b401', 'e54c3140f010a440', '5764720de0f328a3', '275471aa95675b7a', '0314dd90dba7025d', '27e6dbcd1a32e569']; context = [[22, 71], [53, 128], [34, 109], [15, 66], [54, 94], [49, 95], [19, 84], [2, 70], [0, 48], [32, 104], [11, 51], [177, 233], [3, 61], [1, 68], [19, 59], [42, 96]]; loss = 0.015564 low_pass_filter = 0.300
+Epoch 0: | | 17839/? [3:07:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 17840; scene = ['05a7fd7ae3d695bc', '094c9e3aa6bbfdf4', '3eb8a02384c27dc0', '18e413f9fb62451a', '4c52016fee5ecc1d', 'bf435f936fec31dc', '2a5e25ba4ec35232', '5bdfd491073eeefa', '361fb01007472c17', '73e4f7d049224183', '42bf844c2c30f86a', 'f9e8f78cc34ce09b', 'c214ca97694b1373', 'b389cb9c8558ecad', 'd95ce46f540c1d9a', '5eeed9908c6b6705']; context = [[25, 69], [55, 104], [63, 113], [6, 78], [3, 75], [28, 86], [19, 62], [7, 63], [2, 42], [22, 90], [1, 60], [21, 96], [9, 84], [3, 62], [20, 75], [84, 133]]; loss = 0.013444 low_pass_filter = 0.300
+Epoch 0: | | 17849/? [3:07:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 17850; scene = ['b09e289b3dc5b7f4', '4b182a8dbf6184f3', '937ea87bb5a2047f', '6fb2aa1d31d527e4', 'b99e5b404aa9be0a', 'd4b73954f873679a', 'fc5e9f0631219e44', '295a4324517ee9bd', '36c6ba1b40a771c7', '55d8b80f7cc186ab', '36853991baf0f696', '2a10024761431c76', 'f07a8be5e54b332a', '23f13d65e748dc16', 'bc8eb67c9d7fb4f1', 'b9e587880452c81a']; context = [[30, 75], [44, 101], [44, 119], [158, 208], [52, 110], [59, 109], [57, 105], [47, 102], [3, 65], [15, 76], [77, 144], [1, 58], [59, 110], [86, 151], [87, 129], [70, 140]]; loss = 0.014978 low_pass_filter = 0.300
+Epoch 0: | | 17859/? [3:07:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 17860; scene = ['f9ee4b8ed48bd9f3', '0d39f26bcf32c8a5', 'e36559fcd2232e9a', '4ded834533bbead0', '4d72f2752f9a8439', '24add6cb04d4d532', '626634d7c85c3909', '74100e9fd6373f84', '969c91a2507e2d81', '08da0b9bc5445be5', '322d631f732ce283', '011a3430ca6f8101', '37ee09d851bbdfc2', 'd446af748ea24aec', '396f071491b89018', 'f918e879fefa0dea']; context = [[42, 83], [190, 265], [67, 121], [65, 107], [195, 239], [3, 75], [8, 49], [3, 74], [43, 89], [105, 172], [27, 102], [30, 93], [70, 110], [3, 43], [0, 50], [80, 138]]; loss = 0.014320 low_pass_filter = 0.300
+Epoch 0: | | 17869/? [3:07:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 17870; scene = ['ff3f8f09832218b0', 'cb1fed1a146422cb', '3840c776490b3c9e', 'c37300ffacddc862', 'fe221061f650ccca', '9a55eb0408491b0d', 'e79688995a05442e', '6176d42643dd2e7d', '25470c024acb3b86', '7d96d43636f37a5c', 'cdefe81b1e585493', '74d8b8e468e1d8a0', '455d1cad676de8a7', '99120aec487e1661', 'e00a41f98b1dc8a1', '2a9c9500ba5bad5e']; context = [[1, 52], [0, 72], [24, 80], [14, 90], [61, 136], [22, 70], [21, 64], [103, 153], [7, 55], [32, 93], [4, 79], [27, 69], [48, 122], [32, 82], [70, 115], [43, 86]]; loss = 0.013319 low_pass_filter = 0.300
+Epoch 0: | | 17879/? [3:07:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17880; scene = ['cf8fc3268c3034d6', 'b4634a77e910fb31', '7173e6107342f9bb', 'f1243209c64904cb', 'c3bbcee94ab6ff1b', '92971b350374bdb9', 'e2eabf4e6e9c8fff', '7df242a9c4144216', '53345f5cfe65a214', 'b8e21d629c0dc76b', '093c78c8a4198bfd', '54cf901f43d77bb2', '13f84c9e46eb697c', '26c1372d50e49c83', 'c94cb4be652f013a', '9bc08616571aaf44']; context = [[24, 97], [66, 127], [6, 55], [20, 68], [10, 66], [6, 61], [16, 83], [10, 62], [0, 42], [34, 108], [77, 138], [0, 60], [112, 175], [121, 168], [6, 66], [7, 75]]; loss = 0.012157 low_pass_filter = 0.300
+Epoch 0: | | 17889/? [3:08:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 17890; scene = ['6e265cfc58ee5e9e', '08fafa925134cccf', '73382c0b5120aabd', '50f06676dfe7dede', '306aae11d6305f95', 'c35f0dfaf6507d58', 'a49b348548dac198', 'aa1cb2f298b2a0df', 'ccc0b3afc5deb0c1', '2ece3814cb272056', '82f673da64c6dd27', '15c143c646be62b8', '95a3e58d4935e819', '40c71153e86a9e74', '239d2b9fd0f2c35f', '3a9fcbd2d098d980']; context = [[0, 67], [184, 245], [3, 56], [5, 60], [2, 62], [16, 72], [80, 137], [43, 110], [2, 47], [81, 153], [47, 93], [87, 147], [41, 95], [1, 42], [68, 124], [38, 96]]; loss = 0.014637 low_pass_filter = 0.300
+Epoch 0: | | 17899/? [3:08:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 17900; scene = ['12c1a317df1d9ecc', 'b27be52aa4b2b9ce', '93db39179afa7a61', '496622bf4d081e09', 'f3c9b744a3ec8d81', '7ce91d458153b048', '7b0d66794e39e197', 'b937cda3baf53a54', 'a39ab876cafedf5d', 'b547a7565aabf774', '698b8f508e07fbec', '5027f06d0cc6e0bc', '725edaf7f5f88583', '1bad2a58432e346a', '8c8947bc4f9bcce9', 'ea9d5cef5a33d0ae']; context = [[0, 72], [39, 97], [13, 61], [114, 155], [99, 155], [4, 57], [68, 130], [62, 120], [9, 80], [48, 123], [48, 119], [219, 268], [13, 59], [20, 90], [47, 91], [129, 202]]; loss = 0.015938 low_pass_filter = 0.300
+Epoch 0: | | 17909/? [3:08:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 17910; scene = ['08c8a1f3c9da33f6', '788f6579ab4badc4', '8ff9e75e25018b62', '84e17c90adf82d3f', '7b4d0cb42e1b3197', '73bed0f6a4b9b166', '65e8056ea2cee790', 'af12b1fbffb8df8c', 'a859d007d39a68f3', 'd8fe2d302732b434', 'd24ce8f07f8259b0', '5bff580b11c1d3a4', 'ba61678ba772d051', '924dc58634bfef3b', '5d5fcf8a69870c95', 'e910f82449c902f9']; context = [[48, 100], [4, 57], [9, 57], [35, 101], [52, 93], [9, 61], [20, 73], [38, 96], [9, 61], [8, 58], [1, 58], [40, 113], [15, 81], [31, 85], [3, 45], [97, 165]]; loss = 0.014588 low_pass_filter = 0.300
+Epoch 0: | | 17919/? [3:08:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 17920; scene = ['faa70f7f35d029f7', '5c03a7224f5653ac', 'e5762c4d15f64dcb', '21aaa1f3e5a3e5e3', '8823e8d69657f66f', 'c1baf235b1b56247', '152903d08e3f1296', 'e32aa6d5935f8028', 'c8831a226b6ee227', '12eb36bba5c89eeb', '3729cab2867e7a06', '5fcab1686e38f61c', '1a0af7635585892a', '677817c638b61cbe', '20b2bb20840251c6', 'ea51f71d8dc1e7b2']; context = [[17, 72], [0, 45], [78, 134], [24, 95], [17, 57], [115, 185], [90, 133], [7, 50], [10, 62], [8, 51], [2, 72], [27, 97], [14, 88], [6, 80], [24, 71], [52, 119]]; loss = 0.017061 low_pass_filter = 0.300
+Epoch 0: | | 17929/? [3:08:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 17930; scene = ['299e39e4c15762a6', 'd511c29a12acffa7', '9065a264d45b5988', '88481fd4383f352a', '803ea65010dea476', 'f2b7726c0dcfc9b9', 'bf22773c03a8d639', '727a60e743d4b742', '53007e71653c882e', '1fbd498843114f98', '647f47ee75e01097', 'e2511c0663edb8da', 'e106d864e50c158c', '6ab424ec50814385', '6c74218cfa8488af', 'a8035e43949f8e73']; context = [[32, 82], [48, 96], [0, 44], [57, 99], [13, 87], [14, 75], [29, 102], [14, 60], [1, 56], [1, 55], [26, 86], [132, 173], [10, 52], [39, 98], [3, 55], [19, 91]]; loss = 0.013210 low_pass_filter = 0.300
+Epoch 0: | | 17939/? [3:08:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 17940; scene = ['f5f7a03a083dace5', '7dffb84793d6b079', 'eba582c8dd116c8f', '0377dda9f7523d84', '62c2edc48b267fd5', '8a2120eb135875aa', 'fd8c20b69b905983', 'b8b0b7d8a4ed6978', '46feebcb8a06d358', '7a0cb96230343062', 'e8185625226bdc84', 'afed802c9d9042a7', '3d2c547f7bec4c73', '2eb7c9c5d826a22c', '46ae6f33316dbb7c', 'd59dd0965b1f8c87']; context = [[3, 49], [0, 44], [18, 60], [61, 107], [1, 68], [73, 126], [3, 56], [24, 69], [48, 117], [29, 105], [47, 112], [20, 95], [8, 74], [139, 206], [58, 110], [3, 65]]; loss = 0.011642 low_pass_filter = 0.300
+Epoch 0: | | 17949/? [3:08:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17950; scene = ['05c9807d2a5594d5', 'd6fcd49f184ca9b3', 'b37b4cd5b36f9aad', '14aef9a47d9d0adb', '7d84b08aa4859b2c', 'eeef009fa73f29c6', '7a6106a2f6d489f6', 'e74ae258141bb639', '5bcaff024cc940a7', 'd73ac1e92d6afa48', '2609a3aebef8754c', 'bd7796c1a1f89789', '7c492dbf0a2e0c05', 'df35aea10caff8b9', '91da45df1653bb98', '8b9a478b43b2511e']; context = [[90, 130], [121, 195], [18, 69], [27, 81], [15, 63], [41, 99], [46, 113], [33, 76], [61, 134], [82, 137], [44, 97], [13, 85], [2, 71], [19, 71], [17, 59], [10, 71]]; loss = 0.016474 low_pass_filter = 0.300
+Epoch 0: | | 17959/? [3:08:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 17960; scene = ['18266599ae0f9451', '941e22b32cfce42d', 'b0e2bc7d90dacd8a', '9f5c7691098b68a5', 'be0d02ca6abeb470', '9ee2ca77349564bd', '72be1f990c7c06bc', '9ed114875c016678', '34c8c62d878eca66', '6025f68b48d2beb7', '0864cf98d012adcf', '759b3a54aa86ba90', '6961e40fcd21225f', '31cfa9a03a41f00f', '92dbf4ea81789631', '316e1bb9fcb0a9c9']; context = [[58, 115], [21, 84], [2, 67], [92, 145], [36, 90], [15, 67], [1, 51], [38, 91], [7, 56], [212, 252], [9, 51], [15, 76], [23, 92], [7, 70], [1, 69], [39, 86]]; loss = 0.015836 low_pass_filter = 0.300
+Epoch 0: | | 17969/? [3:08:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.0train step 17970; scene = ['dcb8ad3a1428b56b', 'e9aeda15b7117ce1', '66530b646b00a9d7', '4c8af0d24086244b', '1c4574a370bbaa00', '4e701f9ac46a09c0', 'bbc96e7eeccafa65', '926c375e9e97645f', '1a879e247676f602', '14c89d90e8cd6c5a', 'b28ac5a98c93f8d7', '9cc8edf8ad90d501', '114722dab6907d8f', '8e4631a328f2870b', 'f2017756888413f5', '80a2aa476e1f0685']; context = [[49, 101], [32, 98], [5, 68], [74, 119], [0, 41], [85, 126], [66, 109], [35, 101], [63, 115], [2, 64], [19, 79], [36, 78], [93, 149], [3, 68], [7, 48], [86, 141]]; loss = 0.012885 low_pass_filter = 0.300
+Epoch 0: | | 17979/? [3:08:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 17980; scene = ['5be08b95c8f1e92e', '997842d805bbb5b6', '0d27f49d4dc9e107', '430eb2cc042b8939', '7ce73150f91ec12b', '6db6b9ec74297f7e', '08fd748d62f03890', '04d30567c2a01265', 'fdfa2bdadfc99d14', '1d67a9e0bedfa5af', '250be6ba44083611', '8f5f4cd9432e1c0d', '427ccf30023b9ec7', '3a962e4e715e65de', '902acb436b27685e', '6475541b77109059']; context = [[5, 61], [31, 103], [5, 63], [42, 86], [5, 54], [18, 58], [12, 78], [32, 103], [0, 70], [2, 68], [4, 69], [2, 42], [73, 116], [27, 102], [181, 231], [33, 74]]; loss = 0.011231 low_pass_filter = 0.300
+Epoch 0: | | 17989/? [3:09:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 17990; scene = ['e19ed703c0dfdf2d', 'a8bf5280b99d6029', 'd14c7d2612841ba0', '16ab517258aeca83', '6150f013cf5e4e6a', '4e334962998eeca3', '2c7025ebdaf6ce1f', 'd2739b0ce00e63cf', '6c0ddd369d85c777', '38ff4a228d1ea757', '5746cbe928536f09', '88623b0479c2278f', '6920a4f8f496ef7c', '4da70bfde0e88229', '0492d6125268e9ae', '44b3e0a57bedb550']; context = [[74, 116], [60, 113], [87, 146], [7, 78], [82, 132], [31, 76], [3, 54], [5, 78], [1, 55], [48, 90], [30, 99], [36, 82], [29, 92], [111, 179], [7, 61], [28, 103]]; loss = 0.015511 low_pass_filter = 0.300
+Epoch 0: | | 17999/? [3:09:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 18000; scene = ['fb16c0606ca63a5a', 'ed630e62a6088733', '6f9c7ad031578758', 'bc5c89ccb8b60ee6', '36348ea97b54d0dc', 'f98504942ac68c3f', 'e9a018b75e1c0ee9', 'de79673c9bf18a07', '8aa71060eb2a7298', 'b1bcd4d05a8ff3e0', '1916ec563ca4d9b6', '7412ee5ec63b670b', 'ad5885cdf02ba3aa', 'b69737f8793f8741', '2bbe015bfbec987b', '0129bec473cfcae2']; context = [[31, 94], [30, 95], [154, 200], [1, 55], [2, 67], [111, 171], [195, 259], [46, 119], [7, 49], [54, 123], [0, 75], [40, 104], [10, 75], [2, 73], [5, 65], [40, 100]]; loss = 0.012795 low_pass_filter = 0.300
+Epoch 0: | | 18000/? [3:09:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0validation step 18000; scene = ['395f5ae56e94e344']; context = [[5, 64]]
+Epoch 0: | | 18009/? [3:09:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 18010; scene = ['45e9d0682ee67034', '3cafaff1759f638d', '0d603aba11631cb4', 'eb619bc436ad41de', 'f547444b67075dcb', 'fbcee7d51e7ab05c', '65b786988a4bd972', '496d83a1617cb739', '0cf3b1b94a39f3d1', 'bca513776f1d949e', '04f87b5042cca6d3', '6225bee54ffadb9b', '19afed01880c7d12', '47253cc44e5a2469', 'd8ec4f596261d122', '4885e6060296deda']; context = [[4, 66], [11, 58], [53, 117], [22, 71], [30, 73], [107, 175], [6, 53], [143, 209], [8, 53], [39, 83], [3, 62], [24, 71], [22, 70], [19, 67], [2, 64], [21, 72]]; loss = 0.012229 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 18019/? [3:09:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 18020; scene = ['846926f897427263', 'd1850dfd19d9717e', 'ed1d3c0db41a3c5f', '5d0a3ff0e60ec517', '0b4ee64f2a7787a3', 'ed7301d62809aa84', '899aae28d5e32d0c', 'd255de42f58810e3', '56fe6095311b0b06', 'ad65c37e0613e84e', '01bdef4237b05b3e', '35c9bad68b2d0c26', 'd9df345fe1518eec', 'bdc3f978b0d3aa8f', '6e6c7e333db63ec2', 'cb1c36275e03de61']; context = [[88, 152], [14, 87], [4, 71], [36, 95], [1, 41], [0, 56], [0, 57], [153, 222], [8, 65], [54, 124], [13, 67], [69, 115], [68, 142], [0, 43], [73, 133], [111, 165]]; loss = 0.014156 low_pass_filter = 0.300
+Epoch 0: | | 18029/? [3:09:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 18030; scene = ['e10e98248320de61', '194c9af6fe68a201', 'bce4a069332c60ac', '15ca67b5494b57c0', '1d453783d85d79db', '7a7e0b3e3430b6e0', '0256d7a94747c1df', '15725569dcc1e45f', 'c2f81baad4218015', 'b241f84a15ca0d97', '8744fe6d01ad5911', '3bd78bd3b9192c89', '39f7f64e28f6a190', 'f962c53587f9a347', '56ea9797a0304222', '09df5bddb6feed59']; context = [[34, 92], [73, 131], [70, 135], [1, 44], [6, 50], [65, 133], [87, 130], [1, 77], [200, 240], [35, 99], [216, 264], [111, 177], [42, 92], [3, 79], [203, 245], [17, 75]]; loss = 0.016607 low_pass_filter = 0.300
+Epoch 0: | | 18039/? [3:09:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 18040; scene = ['c332f47dc4ac19cb', 'a76159f46f60d60a', '0fc2f38684a6ce5d', '1d9c36d49c81ce34', '9efdc1e256416028', '270c92beac8cc380', 'd164a63a092e62f7', 'cabe1e553676170f', 'e58feef82356fb26', 'df0ac86df48f6d06', '0c52454885189188', '7e25e7669443bd73', 'dacf77dd43f1d0f1', '4edcc58025a77735', '15f14a9a8d3f7769', 'cc6c8d74122beb91']; context = [[91, 140], [3, 46], [51, 107], [2, 59], [203, 256], [18, 68], [142, 211], [28, 86], [15, 71], [54, 110], [47, 118], [84, 140], [72, 125], [8, 62], [0, 41], [58, 107]]; loss = 0.012883 low_pass_filter = 0.300
+Epoch 0: | | 18049/? [3:09:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 18050; scene = ['ddac7e2745479412', '047e7dfc69533d85', '09f5ce489b61a6cc', 'f6ed403d51c084b2', 'd23c63fc810f3d43', 'd4bb75af014f9427', '0fa85c737e39a16b', 'f04708b15586fceb', '87859560d110e619', 'f279ee0ac940c8f9', 'c3f121951504f029', 'a79878c670ca903f', 'e94399e61cdc8ee7', '6a2b388246b639d3', '47d8f4be2be93a36', '97c6ffa79976fc37']; context = [[3, 44], [22, 73], [55, 98], [6, 80], [3, 48], [14, 60], [144, 186], [0, 56], [66, 114], [5, 69], [129, 174], [35, 89], [0, 53], [16, 74], [28, 96], [19, 82]]; loss = 0.014449 low_pass_filter = 0.300
+Epoch 0: | | 18059/? [3:09:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 18060; scene = ['ea163c23bfbd7529', 'dad822bc57edd5c0', '59e2b5fe30f6f04f', '674af1e9c4cc9e06', 'b19aa9f09dc75bcd', 'b546b62956ba47a8', '8bbd9f527f5b290a', '15d9ab10d9e2c6b9', '5afe72928b27eaf1', '7781eb2ef392bc22', '1400a54322d4bb6f', '231526021294c8a3', '2b31c17fbbc981df', '4ce102ed6fa5346f', '5fda305d4227ad1c', '21eed0b2652e66d7']; context = [[0, 43], [28, 78], [132, 205], [106, 148], [2, 46], [0, 60], [13, 62], [30, 86], [6, 62], [22, 75], [112, 174], [134, 201], [62, 110], [18, 87], [10, 85], [78, 155]]; loss = 0.013892 low_pass_filter = 0.300
+Epoch 0: | | 18069/? [3:09:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 18070; scene = ['98d0bc07e597d5b4', '0297b7e5a6fa3c7a', '2cf78f93fd569aa1', 'a346eadd26ed026d', '24f7e93de4e8eb86', '6ea3d65172c1d466', '75e4c220d6d76291', '7becd7ae1330e9e0', '30b1dee06a1096f6', 'bb2afd35d6f8a765', 'b933b6a20e0ac3d4', '63341a860ea3a43a', '76e44cf6b5658b26', '77043e8d7cd6aa0a', 'd4017d748d48fe77', 'd047bdab0fe5ac5b']; context = [[5, 65], [41, 99], [37, 107], [1, 74], [1, 54], [0, 41], [114, 183], [225, 269], [20, 93], [87, 147], [62, 126], [1, 44], [26, 98], [41, 94], [10, 75], [5, 67]]; loss = 0.014359 low_pass_filter = 0.300
+Epoch 0: | | 18079/? [3:10:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 18080; scene = ['1c98793f489d3d74', 'b2e616c9f7a9fbba', '6bd432a1ace69b56', '541bd5636fad60e3', '130ed23b9e1a4d21', '859fa87773fc4afc', 'e454026f5348630e', '9029d8d8f6f0e98a', 'bd006cf0a751d205', '2f955de5084c0ee5', '2147da0f465a3566', '8b12ac02ddbe40cb', '201e44ad015728c7', '8481bc2172478625', '981c75eff532063f', '4f354a704f70f53b']; context = [[157, 231], [0, 41], [10, 81], [12, 61], [4, 48], [18, 66], [17, 82], [30, 89], [19, 91], [115, 188], [0, 64], [3, 58], [90, 159], [54, 105], [19, 64], [8, 70]]; loss = 0.015247 low_pass_filter = 0.300
+Epoch 0: | | 18089/? [3:10:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 18090; scene = ['eaf376da1a87aba1', 'c59770fe087d28fa', '911d68b78781f3a9', 'e63ecf08e037ec9b', '7161a4fca014d00f', 'faf7b50488fc7fc2', '15d9bd9bab5b7d79', 'ec740dac79f473bd', '57824fb51ef03b36', '9d002fa0a67575b5', '4f4d7551bc8e459b', '5c2861f1cadc9406', '6f09662a0d3097aa', '3f79e88e1424fbcf', '99920247428ec28a', 'b78d7b4487c46ca0']; context = [[76, 151], [27, 88], [202, 249], [78, 126], [0, 61], [0, 71], [40, 90], [17, 91], [48, 95], [24, 70], [2, 43], [8, 83], [86, 148], [56, 108], [9, 74], [1, 78]]; loss = 0.016156 low_pass_filter = 0.300
+Epoch 0: | | 18099/? [3:10:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 18100; scene = ['3384e2413c4d783d', '505b52fc1cae4f44', '638e1546ab98ee4f', '7c4718692637f698', 'b081e8a9954f4a7c', '798a009455e7dfd2', 'a69d5b40652325e4', '72cf3b053c899211', '5a16a09ec30a0816', 'bdddd6b555bd7d85', '889df274fb33cbfa', '07a76c882e50226a', 'e7312ad2bdb7ced4', '11569327e72a1ee0', '4776fd6564143c46', 'd73bf29f658f0e6d']; context = [[21, 78], [103, 147], [5, 81], [45, 121], [30, 76], [166, 215], [2, 69], [2, 59], [2, 64], [55, 114], [15, 88], [10, 78], [39, 97], [0, 45], [139, 200], [39, 85]]; loss = 0.012043 low_pass_filter = 0.300
+Epoch 0: | | 18109/? [3:10:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 18110; scene = ['655b92a1e07f28eb', 'c9e8b97faafa2ebd', 'e5dc96d4a551f24b', '109b6adc229361df', '6c48d4f8e82c11fd', '3f3e74839f5c5b66', 'b44e76ceadcbe46b', 'b536cdfe01bc746b', 'c18714d6ce93fe34', '1e35a6338c690b52', '2037fbc4426b2cf9', '71a809cd91421efe', '17c8fa24f6bd1331', '7af9262f51a0c90f', '9753fb68129f08fb', '8e034eff07ef1378']; context = [[153, 219], [58, 104], [2, 58], [19, 80], [72, 120], [85, 139], [66, 115], [2, 58], [159, 210], [1, 78], [8, 82], [40, 87], [4, 77], [58, 111], [121, 178], [52, 109]]; loss = 0.014202 low_pass_filter = 0.300
+Epoch 0: | | 18119/? [3:10:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 18120; scene = ['ad5da2dbff32a118', '304e4b99a49a09b4', 'af225c1d1a503b76', '71bb635a79452a2a', '9aa6a430ba45a983', 'cae1cf64527a0ee0', '57431541b1a92a38', 'f128f0ff23b870a1', '9c4156a954e9b35e', '08c3797bcc0cd877', '06e44b2d2a485af6', 'aa2d001cd7abbde8', 'ff14df34b44752e5', 'dd16b7363e558119', '1dcecfb91ab92796', '4f89397e0e0bb483']; context = [[70, 114], [38, 97], [75, 139], [11, 68], [25, 70], [1, 66], [5, 47], [75, 140], [55, 127], [15, 71], [10, 84], [30, 77], [5, 50], [211, 271], [3, 62], [62, 135]]; loss = 0.012541 low_pass_filter = 0.300
+Epoch 0: | | 18129/? [3:10:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 18130; scene = ['d966e7c0739c36a8', '68f0e62572201999', 'cb68843a409bae9d', '0764de57c2aac0b7', '2a5f0ea759c4a950', '71a67ae4eccba383', '46bd6752c4ea9d50', 'a5accfa355df6730', '090563e6281b200d', 'a152a4b1f19f25ed', '6a350ebce6b44cf8', '92c72363c53e8498', 'c1e78cf2ffa86d43', 'dda98b150531b29e', '8a78089f2d693689', '678d2e43ab3e3371']; context = [[1, 60], [104, 178], [13, 64], [16, 60], [0, 65], [83, 160], [155, 203], [27, 98], [17, 63], [31, 78], [8, 73], [10, 59], [3, 68], [109, 157], [54, 101], [43, 88]]; loss = 0.012273 low_pass_filter = 0.300
+Epoch 0: | | 18139/? [3:10:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 18140; scene = ['b2dca048af66dc7b', 'aa3b5c349a5b6bb5', '2d5e417f2d32e8c6', '528816af3113028b', 'b6fd89bcc1a3e492', 'a942c918e5a0a5a2', '13626316610afcdf', '2afb4fb79374c5df', 'f055075401468eda', 'f082dbd6772d5fc4', '81241c1cd3ffd69e', 'e4adb9e93fe8962f', 'f08aa96535edc50b', '76ce9bd95ed81200', '18061c7463438d89', '59645825f18fbe9d']; context = [[7, 62], [21, 75], [98, 149], [48, 102], [141, 184], [6, 57], [38, 113], [0, 55], [3, 44], [13, 59], [55, 98], [0, 45], [0, 71], [118, 194], [16, 77], [215, 275]]; loss = 0.014453 low_pass_filter = 0.300
+Epoch 0: | | 18149/? [3:10:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 18150; scene = ['babd376b6bd31006', 'e138a461554b0cd5', 'd64bb169c283dba8', '02c33557f834ef45', '1b0502c9984a4204', '45e5e077d58aa48d', '13e41bb40b6721d8', 'ca0a92939d066a8b', '9b0a001d70b5965f', '763c81a76b7c8e9b', '33f3de3604116aaa', '6f31ea1e9dfcc997', '04d916b2c5f89d7a', 'f0eed2799099821c', 'cff3e7fe8d73b11c', '718526f20251ce53']; context = [[4, 77], [51, 117], [32, 106], [156, 209], [39, 97], [0, 53], [190, 267], [68, 121], [41, 88], [43, 104], [55, 114], [13, 59], [96, 140], [45, 101], [23, 94], [1, 62]]; loss = 0.012335 low_pass_filter = 0.300
+Epoch 0: | | 18159/? [3:10:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 18160; scene = ['036724ed27bc068a', 'ea8358aa959c7b88', 'e76eee95e9e5747f', 'd3424e45c34437e1', '9b4e9736b11aad1a', 'f86a5df27270cd63', 'ac522c134dfe7713', '1f44f9200820c142', 'db91fed7543340ef', '01c72bfd2acc1bf9', '3aa408880547719d', 'aab3ddb3540888d6', '61c1a8c9a5bbb249', '90a596bfb6501865', '155bdf703c9d2c78', 'd85e72198954fedf']; context = [[195, 239], [39, 109], [0, 53], [113, 184], [12, 71], [9, 63], [16, 75], [2, 48], [22, 80], [6, 81], [73, 134], [11, 65], [2, 77], [18, 81], [14, 82], [4, 62]]; loss = 0.016068 low_pass_filter = 0.300
+Epoch 0: | | 18169/? [3:10:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 18170; scene = ['91ce38958fa8ee3e', '024db652dd001772', '254d6c6b8f9508d0', '5e4c7d3038be2c01', '767a19530957b790', 'e1d7b52a30d60b2a', '545f0bf834b0b19f', '288a09225150f472', 'b55b27c9d8f7ad94', '7b6c709c0eb728b1', 'f46d9b174fbfd403', '0a4e072b35ec9aa6', 'c09d7898ef37ba32', 'fa5dc3f82887cfad', '12025fef56ee3d5b', 'fc5b4b525f9eb8e8']; context = [[31, 89], [7, 67], [4, 63], [77, 131], [94, 168], [93, 160], [72, 144], [2, 48], [3, 65], [43, 95], [9, 69], [32, 100], [19, 65], [195, 270], [1, 47], [0, 42]]; loss = 0.015049 low_pass_filter = 0.300
+Epoch 0: | | 18179/? [3:11:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 18180; scene = ['e6e773695059a968', '7ad8998a09b3b298', 'd31ae024fa4e22c0', '3781936e21941a96', 'c57f03185717e73f', '07b622db0f313514', 'fc0f6476699ccd35', 'ab3485881886577f', 'a8d775ca03faf5b1', '75fc70c592d102a3', 'cea208c8d33c3ab7', '6963e857ec109d3c', 'd1c2b6d7abcaafa7', '473a794a32b16f66', 'f53efa56a89798c9', '0846e54fa829a3cb']; context = [[33, 96], [11, 58], [190, 241], [45, 118], [132, 177], [5, 49], [11, 55], [8, 52], [64, 117], [30, 80], [8, 61], [86, 128], [15, 58], [15, 85], [3, 58], [48, 116]]; loss = 0.010384 low_pass_filter = 0.300
+Epoch 0: | | 18189/? [3:11:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 18190; scene = ['77a8766f9f81a954', '6d577a0d16ed5351', 'a8fe2593a8430782', '381ce8c714eb685d', '8994e72b7efc4cf9', '55b108227bf3174b', 'dabeae3f355c2ab7', 'f28bc7d364b2b918', '29dfe9e623ddcafb', '88016b1328f0b76b', '1b0653fc20ad6603', '8bdc52505292467c', 'd28a1d795b4321d9', '25f2571deaac662b', '9c8813b1b6ca0876', '70c83167c3a77dbb']; context = [[91, 149], [5, 67], [67, 122], [210, 266], [79, 149], [4, 48], [16, 64], [14, 56], [23, 93], [23, 91], [21, 90], [34, 82], [80, 122], [6, 66], [34, 92], [0, 46]]; loss = 0.015285 low_pass_filter = 0.300
+Epoch 0: | | 18199/? [3:11:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 18200; scene = ['44cb993e19c042ab', '88dcb5cdf83eef5c', '89f06e96811dd13c', '744157d1a5f49792', 'b1c215c60a91a1dd', 'a56927ac0e84b487', 'ca042138cc5291a8', '969e0fb4ea498d2a', '041e80ca1179ed69', '43133ee21899e29b', 'bf0c5cb654dd1e0b', '01a8f17430811e07', '9e4bbe87809330fc', '93c715c4bf78b632', 'b55e562a2c369bf4', 'b721c9a209ca3a3e']; context = [[41, 84], [0, 72], [20, 62], [5, 48], [9, 79], [23, 71], [117, 181], [2, 68], [0, 74], [15, 92], [52, 102], [9, 65], [116, 191], [85, 148], [10, 64], [63, 111]]; loss = 0.012014 low_pass_filter = 0.300
+Epoch 0: | | 18209/? [3:11:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 18210; scene = ['786d4e8a8c162c2c', '210453e1d754af6e', '82710ae1d85fb247', 'cce0c126b9b53bfe', '515583ca3493111d', '794a33acf2a0863e', '1164f5249fa700ea', '88b2ace543554005', '70a6534438ec97db', '06eb937c6f2a45d1', 'ce63639fe49cd313', 'c82ebf2a71996942', '314b4534587e8e91', '974ecfedc96d1ec9', 'e62cc4d8f3efe6cb', '2c0cf71007ce6a48']; context = [[25, 69], [12, 68], [51, 123], [9, 54], [5, 66], [70, 113], [107, 165], [19, 66], [32, 79], [60, 101], [38, 102], [14, 55], [23, 64], [219, 261], [51, 94], [5, 60]]; loss = 0.011561 low_pass_filter = 0.300
+Epoch 0: | | 18219/? [3:11:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 18220; scene = ['fa5df7455c4df198', '0c94fa11e0e29a57', '0519e61060724f77', 'bdee71538603b0e3', 'edcd1cff356523d7', 'e5a0aa552fa5c442', '7b10966e85164c25', 'c13b8c82c44a71e1', 'af5a2cdd7f1dc3c4', 'efdce6a9976d3a61', '84de411e2f045078', '914f828dc7631ca7', '26b2c1728be65cbf', 'a280c9c34af3cf3d', '8b7c741e63766c48', 'd9a65d428e6aec0d']; context = [[1, 72], [79, 141], [25, 82], [16, 79], [1, 46], [5, 82], [14, 84], [2, 44], [81, 131], [3, 75], [193, 241], [74, 149], [36, 91], [2, 50], [6, 50], [55, 126]]; loss = 0.021190 low_pass_filter = 0.300
+Epoch 0: | | 18229/? [3:11:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 18230; scene = ['f7bfb7b54d74f740', 'b8b66fb8080e3728', '4de022d688cd6347', 'eecafa48f9ff1cf1', '11ed455a4973e425', 'e40460ece726c71f', '2863dc06a20a18b6', '1a5f05ecf38c8ace', '3f1d36e6cbc994d7', '64318ff73b2572b5', 'b8ad9c482b18b2bb', '3dca87c3d61bbe7f', 'fe1fd63f87c9b7b6', '68f11ba3fbf25d0e', '2584b6752147b0be', 'f77be837dba5f992']; context = [[9, 68], [8, 61], [1, 77], [9, 68], [75, 152], [4, 73], [0, 66], [2, 62], [164, 225], [117, 167], [29, 93], [91, 145], [175, 231], [3, 71], [0, 77], [31, 106]]; loss = 0.017454 low_pass_filter = 0.300
+Epoch 0: | | 18239/? [3:11:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 18240; scene = ['fdcdf289cff9481a', '017c73218b642f78', 'b046d25e95f6b034', '055b9b0d3d605a5a', '6380fd71d2450534', 'dbd3dc9c63937af3', '5d9fa71fc50fd9f0', '0b0d341a11dc6871', '24b46d24b0fa68f9', '2c484e9510a83538', 'd875f996331712c3', 'be6ea47fd801555e', '3ff6e844885bb94d', '20475261b8d3418d', '8d9c7b05721ed05f', 'a6262cc30cd10451']; context = [[13, 75], [79, 152], [133, 207], [41, 110], [67, 136], [39, 93], [21, 69], [67, 132], [4, 47], [59, 101], [1, 50], [12, 84], [26, 87], [13, 70], [6, 67], [73, 133]]; loss = 0.013943 low_pass_filter = 0.300
+Epoch 0: | | 18249/? [3:11:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 18250; scene = ['a4f2de45c55864d7', 'ca3462f0edc7f285', 'd160f5db0709ac47', '9b1ceb9438c33ab8', '04c823eef80a160b', '4259a1201cffe536', '895fa1fa9318bb6c', 'd7baa9fa37afffce', 'a42750e1e0a3c9ca', '11dd67b48f30d4e7', '2c0ba42bfa8fbc37', '369b2f3131355338', 'bb5ac676de37d914', '940334dc257b987d', '90394a4c6c156fed', '2afc7dc230fbf3fe']; context = [[11, 68], [16, 63], [16, 76], [34, 75], [21, 98], [26, 72], [14, 73], [19, 95], [90, 161], [4, 46], [156, 207], [2, 56], [172, 239], [21, 70], [72, 116], [40, 107]]; loss = 0.013888 low_pass_filter = 0.300
+Epoch 0: | | 18259/? [3:11:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 18260; scene = ['06bb3e6123bee4e7', '1c7fd25c56d97b41', 'eef710e59b6645e0', 'f7449fd9c81a3551', 'f7adcb2981b56215', 'c51bbe2cf79b572f', 'f98f1a15850aaed9', 'f9ea5bd2a0243bd2', '276c19248173dd64', 'dbb576f0d9adf28c', '4777dc29a1d20c7f', 'bfb4ec8110f16cd5', 'dae6b61b21e15ee9', '6da09db5c8cd9958', '54bf70a9a65b6e38', '152d43c01efbc620']; context = [[152, 228], [0, 61], [24, 93], [20, 85], [17, 91], [13, 65], [6, 53], [45, 116], [37, 80], [54, 125], [156, 201], [5, 77], [51, 111], [19, 75], [79, 120], [71, 117]]; loss = 0.013954 low_pass_filter = 0.300
+Epoch 0: | | 18269/? [3:11:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 18270; scene = ['783a62439d03c764', '72ca9d448714efac', 'c57e6a4defebacff', 'b8a22214c93484b4', 'c58fe96a6470ade7', 'dd82c46ef577b180', 'f029eb0528f84f0f', 'da3b8bbb9c844106', '6046ec5dc77a4333', '2141310d71b642a9', '8b37b8fff9ba87fe', '37f4ab2b7b9dfee4', '37cc67b598851df4', '4081c5f1a32fd553', 'd3945e2d45baf272', '6de25aaf3ed2b3a6']; context = [[58, 117], [24, 77], [17, 78], [61, 116], [30, 81], [20, 79], [13, 79], [71, 118], [93, 153], [49, 100], [69, 125], [3, 62], [1, 53], [4, 70], [27, 97], [27, 93]]; loss = 0.015341 low_pass_filter = 0.300
+Epoch 0: | | 18279/? [3:12:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 18280; scene = ['36746f479aaf1655', '1258cd4602356ce2', '3ab45b6c5ab921e2', 'd56017b6d0b75312', 'd646c5e06caacb0c', 'f666844989675472', 'fbcbd0357e2fcc87', 'fe1f82f2988800c4', '5d3f0ed6928762de', '065e83ef77dc057e', 'cd3fa8effe44ecd8', '5de5a2de423e339e', '40e9ec6b7a21c085', '4e67fc174708df14', '1b85a629e75682d6', '999340d07b3c1f01']; context = [[0, 42], [58, 115], [95, 157], [14, 71], [0, 52], [133, 199], [20, 82], [33, 88], [31, 107], [6, 57], [32, 75], [0, 53], [22, 95], [0, 59], [89, 139], [0, 42]]; loss = 0.013607 low_pass_filter = 0.300
+Epoch 0: | | 18289/? [3:12:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 18290; scene = ['bd15cdb6544e4b4f', '9df293d4cff7a027', '5d1517dad9f9fbb6', 'c50bf41a6ae14f25', 'a1a44fdd4720ce4c', '46a16b80d7b725c1', 'aaf53710fd4ba7fb', '302c98bb282bacf1', '1ab06178863293c3', '83d97ebbe2e3c69d', '78a56baf9c6f433a', '55e0660cad6d7d5c', '004d2899ce6cfd7e', '420997bae050f564', '00ad47b927f0c851', '6765cbf77386ace2']; context = [[20, 78], [16, 87], [4, 48], [1, 42], [6, 63], [1, 57], [15, 82], [59, 132], [17, 59], [219, 273], [0, 46], [25, 78], [39, 91], [109, 157], [7, 80], [16, 87]]; loss = 0.013998 low_pass_filter = 0.300
+Epoch 0: | | 18299/? [3:12:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 18300; scene = ['99300092146a884a', '4e12f7796feac812', '93daf4ce55a5d530', '93db697953cb8fbe', '880a284f8c74d2ab', 'db6b97ddd70d1c1e', '9b78476cb3a62f42', 'de76e0fa6665b96a', '3c7e6874294e63bb', 'ab4e1823ec9613ef', '8f0ecbead6dd6d79', 'ff9a13a4122358c0', 'fd39953d2d51d0ea', 'ae7d1a90900f2837', '4c6b1a86b7554be7', '40f0d7c4d4f968ce']; context = [[23, 67], [5, 66], [34, 102], [3, 76], [90, 166], [4, 67], [48, 106], [32, 89], [14, 90], [12, 78], [4, 60], [112, 165], [0, 72], [13, 83], [15, 80], [6, 54]]; loss = 0.013439 low_pass_filter = 0.300
+Epoch 0: | | 18309/? [3:12:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 18310; scene = ['5d9fa71fc50fd9f0', '055b9b0d3d605a5a', 'dbd3dc9c63937af3', '6380fd71d2450534', 'd581dcc2a782d5b5', 'b046d25e95f6b034', '7d7f87066fdddc0d', '7950819803c38007', '526648b6db73136f', 'fff64f42340c9f92', '4268e3a564bff6be', 'f646cb850ed823d0', '481a5415dc213548', 'a8342b6ce7bf9fdf', '700c498d0c459879', 'dc147135ffd7390d']; context = [[10, 79], [58, 109], [30, 94], [26, 69], [149, 195], [55, 131], [1, 71], [24, 87], [134, 198], [117, 181], [5, 72], [15, 64], [5, 51], [52, 93], [9, 77], [7, 56]]; loss = 0.013092 low_pass_filter = 0.300
+Epoch 0: | | 18319/? [3:12:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 18320; scene = ['070a222242536f42', '529d61d09bec94a1', 'e7e959f34eb098fe', '6ca4270fc9377c9a', '0586a78aa1664230', '1ff0ff0f71d8c35f', '9598262787c89df9', '2b30bf3c9c26f7f3', '2ebd96001679704e', '1c545caf1931d773', '526a07ae78945335', '51bfd3ee5c473481', '901ffe30eed014c5', 'a522b097d56845a6', 'd257445a5a42b9c4', '1d19392ccd2122ca']; context = [[1, 73], [61, 107], [1, 73], [15, 62], [5, 53], [63, 119], [12, 53], [44, 101], [42, 91], [0, 64], [5, 58], [13, 76], [23, 73], [0, 44], [16, 57], [6, 56]]; loss = 0.014524 low_pass_filter = 0.300
+Epoch 0: | | 18329/? [3:12:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 18330; scene = ['abc5e19774a3490b', '8e9c736001d5e2f8', 'a8ece41ea92c4340', '1c8f0e2c77d0d6ed', '7c3476a62ce00a5e', '01042371ee0b76ac', 'afb48c56cc7ce3d7', '96cc4eac057b8f1d', 'a72b94bee0c0c469', 'f0b964cc96ba3d3e', 'd4f666ac0061eee6', '5ceded5edfceb262', '4458d2b066bc5da6', 'b88bc7e2f6a64a68', '28c433a75667a138', '8f20f72494bf5bdd']; context = [[12, 59], [60, 129], [52, 123], [70, 115], [81, 128], [20, 62], [16, 80], [17, 71], [99, 162], [9, 73], [0, 42], [173, 243], [3, 77], [24, 71], [165, 214], [6, 55]]; loss = 0.012589 low_pass_filter = 0.300
+Epoch 0: | | 18339/? [3:12:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 18340; scene = ['3d3388e0ce470fc9', '002bdb7ee61c492b', '4aef69f68bcb332a', 'a28f41ab97fb6368', '5427879336ad21b4', '110a1625755ef472', '325629d09f769baf', '298da81b464ac580', '026cf7182a33e5f7', '5eb1b5d8fa263c07', '5a3ef807cc4e6415', '5007be2bb9168849', '1c8182e508006626', '57f7dda2910d8e18', 'a702fc442bc46ff0', 'e85dc47bbf657808']; context = [[44, 103], [68, 110], [44, 100], [95, 171], [182, 225], [60, 119], [64, 108], [56, 101], [77, 135], [36, 104], [9, 58], [62, 116], [58, 104], [41, 97], [47, 100], [1, 53]]; loss = 0.011050 low_pass_filter = 0.300
+Epoch 0: | | 18349/? [3:12:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0train step 18350; scene = ['6d957940e86de915', 'e9c131103e70cb7f', '6817374ad089ff46', '3effc4406f9ddaeb', '03036efc7c7ae3b5', '3f82be8d7f99dce1', 'a3bc042b68a67193', '1c1171aa48cd3d30', '57ca642cafff9fa7', 'fb465ee3fded7d42', '4cb5194b4918db12', '008f83302bfa22b5', '12dea77c68134296', 'ad3cd7f7c49477a2', 'b2ecbe553e33d8d9', '4d1084e4ed95ce83']; context = [[36, 79], [98, 140], [59, 120], [0, 50], [16, 65], [6, 71], [25, 97], [89, 130], [90, 139], [20, 95], [15, 81], [30, 102], [15, 60], [62, 118], [50, 111], [44, 112]]; loss = 0.014309 low_pass_filter = 0.300
+Epoch 0: | | 18359/? [3:12:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 18360; scene = ['15f89ff3e4a8ddf3', 'e313fc42cfe43a81', 'd1a6d6a046f37dbe', 'bda51613b8944e3a', '931437c7f8178635', '507b9f1675988055', '20f4bf16c091cdb0', '4f5af60e4c54afa8', '341602ce1687140e', '3c14d04df113da24', 'c8eec59d2fd27bc7', 'd78557c55e24d7c3', '57fe6fafb7acb801', '6fce0005228600cf', 'cbdad10abcc885e5', '1b36ec2e4d545fb5']; context = [[12, 54], [45, 119], [7, 64], [15, 79], [30, 91], [47, 97], [140, 211], [1, 56], [167, 217], [0, 75], [35, 92], [34, 111], [4, 68], [49, 110], [134, 211], [48, 107]]; loss = 0.016385 low_pass_filter = 0.300
+Epoch 0: | | 18369/? [3:13:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 18370; scene = ['968b857dda7e955a', '7f19946005cbe8f0', '998802a48c76fd37', '253ad0422954892f', 'bb7fb00560d88234', 'a74f43b16ad90fbf', '82513f328f3249f6', 'be78b445daa29b6b', '72f41340c3506abe', '004f7056eddd68b8', '8fe5fd9e06ca3c9e', 'c3bafca269ab8b48', 'e8f4103470bffeec', 'f37cf46fe1969cfe', 'a5a65324d2c3e20f', '6c03ecd2106e542b']; context = [[186, 261], [28, 95], [49, 106], [1, 44], [57, 126], [55, 115], [3, 65], [9, 60], [19, 67], [50, 102], [0, 74], [199, 253], [3, 74], [55, 106], [16, 84], [144, 208]]; loss = 0.015322 low_pass_filter = 0.300
+Epoch 0: | | 18379/? [3:13:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 18380; scene = ['8f676671dce6a340', 'b1bb68bc47ee5b68', '3cb5133227ba02e9', '9c91f8599db23043', 'ff5926af50275b6e', 'babd376b6bd31006', 'd64bb169c283dba8', 'beb75c3deed051ff', 'ca0a92939d066a8b', '1b0502c9984a4204', '5678e8f9b633d520', '13e41bb40b6721d8', '519f45118757eaed', '02c33557f834ef45', 'e138a461554b0cd5', '45e5e077d58aa48d']; context = [[38, 94], [1, 49], [10, 53], [11, 73], [16, 75], [1, 52], [67, 113], [25, 95], [22, 66], [6, 68], [22, 97], [102, 168], [2, 57], [85, 157], [176, 228], [0, 54]]; loss = 0.012301 low_pass_filter = 0.300
+Epoch 0: | | 18389/? [3:13:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 18390; scene = ['9ca80f3ebf759df0', 'b45e47d231088428', 'ffda743d376dcde8', 'c81095ff7cc7034b', '882fdfbe720a3236', 'd62c060a62da110e', '2f0650a94d92200c', '13f7f1e85b32c2ca', '21486cb5a6c5fcab', '439f12d7997f3297', '3f96be687636d51d', 'dda1c0ecd0acce7d', 'd7e926c740ac7137', 'ff5cb0ea9ff69da6', 'c93c480ccd57d80f', '3b559cada02ade84']; context = [[23, 67], [15, 70], [2, 80], [0, 78], [63, 138], [0, 44], [81, 154], [57, 126], [186, 233], [188, 247], [5, 72], [12, 72], [79, 120], [47, 105], [25, 87], [32, 102]]; loss = 0.012929 low_pass_filter = 0.300
+Epoch 0: | | 18399/? [3:13:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 18400; scene = ['99fbde3ad90233bc', '4596493f1773dba3', 'bb00698a6102a362', '37be8109577b927d', '4f049727be4632a1', '4af7dec0791abc1b', '3bfd64c3fad672d6', '9a5c2d57d37507c8', 'bc27ff6ce76243da', 'bd61fccd488024e7', '37896683ae1f6071', '52039b2a260ada3b', 'd6ef451e7daf67d7', '9e41975990090f8f', '45a19f9d1de5f98c', 'fa30e3b334411903']; context = [[17, 91], [4, 74], [5, 51], [43, 92], [177, 247], [1, 74], [8, 50], [12, 81], [56, 108], [9, 77], [103, 168], [219, 275], [157, 219], [8, 58], [28, 69], [38, 88]]; loss = 0.012879 low_pass_filter = 0.300
+Epoch 0: | | 18409/? [3:13:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 18410; scene = ['fec4da66d508403d', '012a123c46f1227c', 'da656fc4be49446d', '668a991c53434075', '88d011fbf3bbfa0d', 'e8631b8149e42ce0', '640d78a72db813c5', 'bc452bf30b9596ee', 'c579400685922dcb', '6c3c8af4da8a4278', 'd6956a508357c234', '5f5f690da0e4ecbb', 'b5d2cca01af50b85', 'dc1d3b4c937283cd', 'ea21efe547c57ccf', '5629513f08256634']; context = [[95, 149], [72, 121], [83, 137], [76, 142], [7, 56], [59, 102], [18, 61], [7, 78], [130, 184], [0, 43], [55, 123], [144, 211], [22, 65], [162, 236], [18, 95], [2, 64]]; loss = 0.015685 low_pass_filter = 0.300
+Epoch 0: | | 18419/? [3:13:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 18420; scene = ['62d8c1587027e0b1', 'f40443997986b638', '49aead36f6176b9b', 'fa392694c9efa75d', '1c827c5e0ead36e5', '87b882eb45955770', '4d3976b773ca97c3', 'f79f370f6b975e6c', '3841fc3abd900258', 'b4ecf910bc41088b', '9936a143ff82ae38', '7073053a1ff0206d', '88cf24f0c9dd93a6', '36ae47b315bb99fc', '3ebbc92a617fd1e9', 'c0f128f783625ed0']; context = [[2, 44], [29, 76], [94, 157], [120, 171], [110, 185], [0, 71], [22, 72], [22, 91], [0, 68], [18, 68], [24, 98], [2, 58], [1, 69], [4, 71], [7, 63], [40, 114]]; loss = 0.012489 low_pass_filter = 0.300
+Epoch 0: | | 18429/? [3:13:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 18430; scene = ['092042696fbf333a', 'bc085f262a9ccbcf', '52de141f8de99555', 'a0f63c5a3c3e0da1', 'e0f1d79ec792ef8e', 'f02ef226ccad6345', 'de82638349240cde', '016d100b1e6854d0', 'dd0dccd5864b0e61', '1e2dc0f8513042ec', 'df282617d57f50a3', 'a9b48b6f3bc587ce', '75f9d1ec42531cec', '8ae172ea64e32946', '9df4b5bc5499199a', '60d5111563a11aac']; context = [[98, 160], [81, 131], [123, 189], [53, 119], [112, 186], [0, 72], [45, 96], [5, 72], [207, 272], [1, 62], [26, 92], [16, 79], [27, 69], [7, 79], [13, 88], [80, 126]]; loss = 0.015334 low_pass_filter = 0.300
+Epoch 0: | | 18439/? [3:13:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 18440; scene = ['d458f48f3cd5ae1b', '1505eac55db08881', '42d33d1990dc2827', 'e42f283d6f967249', 'd4592196f3d5e77a', '605bae1f22177e7a', '4089488b3adb6226', '0ff43f7eefe141b0', '070e03b0709a0c7a', 'bbb9d583807930d7', '8062e068d364879e', 'dfb585600cfa6d6e', 'c098a117d37c1b11', 'e68962be9d5fa78b', '7d9927959e97ee1a', 'f8ff67683c2323b8']; context = [[43, 84], [24, 95], [2, 49], [32, 74], [109, 177], [2, 63], [6, 83], [19, 94], [56, 131], [87, 140], [25, 101], [172, 223], [90, 155], [18, 76], [3, 67], [191, 232]]; loss = 0.014617 low_pass_filter = 0.300
+Epoch 0: | | 18449/? [3:13:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 18450; scene = ['072ace91e2fef373', 'b0139ba67c176260', '9af39f3dadb1471e', '270ec2d099edfccd', '1b2e793d39caec3f', '69029690713e2555', '9244ece752e135b3', '5a38b8d664c399f4', 'a1d7341cb3041276', 'f5bfd75abd48deed', '9610a8be4156c770', '05d4cab2ae287ad3', 'b07ed5fe488f194a', 'b0ee71056841d17f', 'de77f7d75b6e14e1', '69aa977d19cc8f99']; context = [[35, 77], [71, 124], [11, 64], [73, 146], [12, 63], [10, 83], [8, 84], [5, 63], [57, 104], [1, 73], [2, 67], [6, 81], [2, 48], [87, 136], [21, 93], [25, 91]]; loss = 0.014983 low_pass_filter = 0.300
+Epoch 0: | | 18459/? [3:13:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 18460; scene = ['d12d90e1193e38b7', '709e2b69775f5c88', '84b82a9506bd8483', 'c86dbf4a14acee88', '8cc30a7da032758b', '8985363b7d718a34', 'c15bde67c4d28f80', 'f9a7be1e0104decf', '6f6798d8975dd372', 'd782aeed17560ed2', 'da65394ba9286a06', 'ed4855892fd5fa4a', '159a472b24f1c395', 'd5f789c944a6d3b7', '87c8ad7a57abf688', '6b01b60bd401ef3e']; context = [[6, 54], [18, 71], [192, 253], [104, 154], [8, 75], [22, 71], [9, 57], [0, 44], [117, 171], [37, 98], [38, 96], [3, 76], [8, 68], [11, 53], [87, 131], [6, 74]]; loss = 0.014711 low_pass_filter = 0.300
+Epoch 0: | | 18469/? [3:14:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 18470; scene = ['5b8f2b2fad8a45bb', '7f8baad045c5ca63', 'd281c87258201ca6', 'a20b0fedac9e0cfb', '1d82e9e8625277ec', '585fcc880c5e41dc', '68374bd8e0215d87', '6338d0d353046ec1', 'ddeb25acf3565321', 'bebf0fdfe16b9e85', '0e3c2218affc73d5', '1ecea537488c80e3', 'e64fdf6bb50c0a7d', '1a4c46c32d5e962b', '6167e255440a0c6c', 'ef240c57fead88f4']; context = [[21, 80], [1, 74], [54, 100], [15, 83], [0, 42], [4, 63], [16, 59], [126, 191], [16, 65], [11, 60], [209, 269], [7, 61], [55, 116], [32, 110], [79, 147], [202, 271]]; loss = 0.014816 low_pass_filter = 0.300
+Epoch 0: | | 18479/? [3:14:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 18480; scene = ['6031294804b8979d', '5b5827a0a04a59b1', 'd7187150e8022e3a', 'd638f2cfb109bb3d', 'a1544b2525f885ef', '30864bca8dde88a6', '11b1537eaac7a06d', 'bf798f2b39bcf27f', '60af97423a0eaf57', '92722c34e7b2dd9b', '81d36b8a05710cdc', 'd29cd0ffcbc3dfaf', 'c8a560445ed75686', '4771a5ec59fa8971', '20681dbdf7a604ed', '9b2788541dfe9a82']; context = [[161, 204], [0, 42], [58, 121], [9, 70], [4, 47], [1, 58], [52, 97], [6, 74], [81, 126], [6, 58], [124, 173], [18, 81], [170, 219], [7, 54], [213, 275], [9, 56]]; loss = 0.013275 low_pass_filter = 0.300
+Epoch 0: | | 18489/? [3:14:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 18490; scene = ['542b331fc2699bc8', '1f1e2bbb82d871d6', 'a584b2e57a8134bc', '34d534d9aa514cb4', 'dc4ec3022ce21d0e', 'd67eb389200533bc', '44b11ed1882e73b6', '4ac2c53d8a94fc4e', '0aa07b78c395a680', 'b7906279b66195ae', 'd3dc24cd90a79d97', 'c45d298bb3d0da30', '360071cdfb60fb0b', 'fb330853f70eb73d', 'da4a302718afc212', '299e1a5a31cf0a2e']; context = [[24, 82], [20, 72], [21, 71], [67, 120], [4, 59], [8, 70], [49, 112], [27, 75], [1, 55], [13, 65], [6, 52], [142, 205], [109, 178], [2, 73], [108, 179], [106, 173]]; loss = 0.014585 low_pass_filter = 0.300
+Epoch 0: | | 18499/? [3:14:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 18500; scene = ['fb95c32dd3a53307', 'af4a597a0c5fae0e', '8640bf1b5c76637c', 'c28b9f25ad9794d7', 'db888de456002798', '5f830bdc23de3ba5', 'ab4df011c0a77169', '8d135d954c7bd8ca', '024fe5e0479436d7', '406ba16692463e74', 'b717d70c0731724f', 'e3d6e4d17fe86c7f', '7affe857110780b7', 'd61513991abccb02', '4dde51f40224a106', 'eed30eff53d92b9c']; context = [[37, 83], [29, 70], [19, 69], [32, 83], [1, 53], [108, 155], [4, 67], [112, 180], [51, 128], [1, 59], [16, 73], [0, 51], [4, 56], [73, 129], [156, 204], [152, 198]]; loss = 0.011773 low_pass_filter = 0.300
+Epoch 0: | | 18509/? [3:14:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 18510; scene = ['6885ef0bd7cfee43', 'eb5bbfde3b1ee602', 'ca5ddef5ef09b9e4', 'b5529377c5197877', '0c5cf4f5bf4d1c5b', 'c146a141c5f850af', '074a7dad1894db3c', '3b7c67b6632b1c74', 'edcdfad297756b43', '9c99ea6fb0609c14', '27b292f550476cb1', '5e3823e7d702cd77', '983944b4dd64677d', '0e57d2d8655afebb', 'd79b084da2f40032', 'c6ddb4bd6ef6f42c']; context = [[216, 259], [0, 61], [6, 83], [23, 71], [33, 100], [1, 67], [2, 44], [50, 96], [136, 182], [29, 75], [43, 120], [22, 72], [1, 66], [19, 95], [14, 55], [16, 93]]; loss = 0.014100 low_pass_filter = 0.300
+Epoch 0: | | 18519/? [3:14:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 18520; scene = ['f8d3ad05afe92b39', 'ee02795c2cab0d84', '3aa51ffb5daa1f14', '3762a77b150981a7', '1b632edc8e057995', 'f407dfbf20e9cdd8', 'af266e9907e855a3', '3aebea0441273ddb', 'd6ea07dbb2167eb5', '7856307929acbfc8', '406118df679fdf02', 'd5272ec25feb6ba1', 'fa337fc40abfcd03', '80998e4a83ad49a1', '4c4cb796127df3c8', '643cf013e58632bf']; context = [[0, 64], [175, 232], [2, 51], [53, 99], [191, 266], [92, 137], [41, 104], [2, 47], [1, 74], [10, 58], [17, 91], [84, 138], [90, 146], [40, 96], [214, 275], [53, 120]]; loss = 0.016469 low_pass_filter = 0.300
+Epoch 0: | | 18529/? [3:14:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 18530; scene = ['edebf34f112ff3cd', '207b065997930e21', '5ab590bd7a40aa97', 'ab505c8c8087e06d', '73571aa48e313ef4', 'efdbbd729649b779', 'c539e921ede7f926', 'b0128cafc1556b7e', '42ac231638987587', '02fd9975b8ddd05c', 'f7f7f1a5b8ac1d79', '22328753a5ede182', '325bc79016efb0f5', 'a81848e02110f714', '9b45b8e9b3c34d4f', '393b490d9f63512e']; context = [[0, 42], [5, 71], [86, 135], [167, 208], [11, 64], [154, 205], [140, 208], [93, 138], [185, 238], [139, 188], [109, 179], [0, 60], [1, 73], [40, 117], [116, 158], [88, 134]]; loss = 0.014795 low_pass_filter = 0.300
+Epoch 0: | | 18539/? [3:14:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 18540; scene = ['03a09832e1472391', 'ca04de3c55cd1ca0', '84359e8e847ad96b', 'b7aeefdcf8c006ec', '8625891ed4d0cf38', 'ab88a6b3b387dac9', '347a65acdefb3ab8', '06256e9ca5d46849', '53d2992e5899c3d5', '5c4acbcb2726ae77', 'f057ac2bd9c4f5d4', 'b8d8f4ad5fade208', '93ccdfdfa9ff0fec', '84f35c6d1516d310', '76f372b9aa5d18d9', '53073bd3a51f967f']; context = [[13, 75], [23, 69], [13, 86], [160, 208], [102, 166], [87, 128], [0, 72], [6, 67], [1, 45], [63, 138], [5, 50], [3, 81], [14, 90], [6, 76], [44, 86], [213, 254]]; loss = 0.014784 low_pass_filter = 0.300
+Epoch 0: | | 18549/? [3:14:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 18550; scene = ['157241dcd92f227c', '92606a453fbd505c', '8376b484d77d9e11', '9fd8814f2742203a', '02af398e30b373cd', '22e47840333d555f', 'e21474479646bab2', 'e30553db7c558402', '4ea37df2f9dfda32', '6e246ece8fdd2a1c', '7c376693c09e694e', 'b851fee0bc2a9561', '5dc3bfb193417474', 'bbeb5d738b8da0c1', 'aba8500bf55e59fa', '1779cc65f3853e34']; context = [[8, 64], [4, 69], [41, 85], [7, 55], [26, 80], [11, 65], [77, 138], [47, 115], [56, 108], [75, 147], [2, 71], [21, 76], [31, 83], [39, 95], [19, 88], [43, 117]]; loss = 0.013673 low_pass_filter = 0.300
+Epoch 0: | | 18559/? [3:15:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 18560; scene = ['1c75685f0307f79d', 'ba823bca7db295c1', 'a39c6e8f3d9a2a00', 'bccb2d322b8bd512', 'a752ffdd0cd196ed', '068b869b3861f8fc', 'ff8115bfa598e4a3', 'e2d62f82e625ed88', '41cf7931d87820c2', 'e8ca65ffdb2b0d0b', 'e9fa89d8a88680f6', '18fab33114eb4b24', 'd8583a6600010856', '633378e02c8fc348', '9d156dc70e89888b', '3443a368dfa7d6a6']; context = [[112, 156], [38, 82], [17, 88], [3, 68], [91, 134], [9, 50], [26, 101], [19, 70], [122, 175], [16, 91], [13, 82], [58, 133], [31, 93], [111, 162], [0, 50], [0, 75]]; loss = 0.011685 low_pass_filter = 0.300
+Epoch 0: | | 18569/? [3:15:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 18570; scene = ['cd30b082ae6fc960', '28cb5b04aeb2ffcb', '89eda44370699ae0', '022a4474029acfdf', 'b7e0e4f979fd485f', '3f23fde9f471891d', '38d7f9658cec02ab', '4a046dacba4318a9', '824c0e56d62f7342', '03dff49783e3e29a', 'b7c00eb76d84e6ea', '08cb543ee1974f4e', 'b75e631e3c9fbe0e', '872fefc4b4396987', '82507f7692eeacee', 'd1b5509b24273e4e']; context = [[19, 76], [97, 160], [52, 110], [107, 153], [174, 243], [41, 99], [20, 74], [19, 70], [148, 205], [12, 89], [18, 65], [6, 77], [73, 149], [50, 108], [21, 75], [1, 63]]; loss = 0.014735 low_pass_filter = 0.300
+Epoch 0: | | 18579/? [3:15:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 18580; scene = ['0efc5f77b13da150', 'c7159a8daad87750', '5bcef3db70b6a339', '6c37b62853077e8e', '28e2882fd19235da', '4b95a6a4485a9684', '6e53d59a04d16cd8', 'd0f4f1c4157d67aa', 'd34e6f770d5be502', '9d8ca21d7984f76b', 'de6ad905da091ab0', 'fe1b92932a2eb481', 'c9073667ec83abcb', '08683965a087e86a', 'd51a5f3f6dd9f3df', '1ca420ea134b5748']; context = [[3, 55], [56, 118], [6, 63], [11, 59], [1, 56], [19, 80], [1, 45], [52, 126], [10, 87], [31, 81], [34, 105], [11, 52], [3, 59], [5, 50], [117, 191], [89, 139]]; loss = 0.015172 low_pass_filter = 0.300
+Epoch 0: | | 18589/? [3:15:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 18590; scene = ['e8a0e1bd17e1c957', '2ba4f2b510634c96', '331108af4b30ad2e', '29f2859edd3bc59d', 'a507532d84d52eac', '4d3b87ffc55d9047', '5f9a698522ab7afd', '116d93103a2aa3b0', 'd775362664f1f768', 'ca0b63e3f13cd7f0', '63c3d74c9f4ec264', 'f4b87c8ce7b815f4', '57925ea5b7531821', '75a8c6b3cfd92eb8', 'a92d8d313f8da420', 'd71d44024b5b0d3e']; context = [[161, 238], [14, 59], [19, 69], [37, 94], [43, 114], [22, 73], [14, 57], [189, 263], [46, 93], [32, 110], [6, 48], [150, 218], [13, 73], [104, 162], [90, 141], [22, 63]]; loss = 0.011666 low_pass_filter = 0.300
+Epoch 0: | | 18599/? [3:15:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 18600; scene = ['8ef9ff3189c85eee', '5ae6cc7cfcd39f73', '6bbff5ccc1c269f7', 'f78d853148097f67', '15573128c45442c8', 'c152ab577a837dac', 'b391c9c966914810', '6fb73a6af5090f17', '2bd20a851148c40d', '79fe704a7b031378', '54ae80e682751efa', 'e77831c1b48a833a', 'f83ed991c4d270c8', 'a576a801c7d2ff46', '4d09e3caa445622d', 'e456fc623facc848']; context = [[24, 71], [134, 178], [35, 103], [65, 116], [17, 59], [30, 73], [17, 59], [0, 42], [2, 45], [8, 79], [0, 41], [51, 94], [3, 79], [29, 89], [3, 64], [9, 75]]; loss = 0.012984 low_pass_filter = 0.300
+Epoch 0: | | 18609/? [3:15:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 18610; scene = ['67c71d67cd66dbc2', 'f73370843951ee8e', 'ec3ac5aa298bf2e8', 'e6385bd0566efde9', '59ff88a8a2aab514', '28a0169072657579', '8eea2b468ffe64ab', '4ef16baa6ba6b711', 'c600946013eb81ff', 'f9e17273b3868fe4', '752b39e94e479822', 'fb580b898c3b2276', 'daaeb71d64ccaa12', '69371015a3531f8f', '3e9b55a6888ea022', 'a2c06b7195565fe8']; context = [[1, 79], [46, 88], [107, 158], [126, 183], [6, 50], [1, 55], [9, 64], [0, 54], [133, 178], [31, 107], [136, 180], [1, 70], [16, 83], [17, 81], [219, 267], [3, 47]]; loss = 0.013273 low_pass_filter = 0.300
+Epoch 0: | | 18619/? [3:15:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 18620; scene = ['dcab0d2b23297698', '0c67efe2da80d7cb', '5c0ebf927a51f486', 'eeadbf2667bc02c1', '1b5dd0e05a2659e8', 'c0ea4f07034baf27', 'f3b4df790b380643', '833a186412602e0c', 'e96e8eac70fd14c4', '8fe01181bfc7318d', '662b8fd7e0234fb7', 'b30c5363681d3c16', '46bcbdd06066acb6', '61f2bd9a20b9278c', '975cc049e8005ca9', '2e91b67f2ece02be']; context = [[103, 180], [66, 116], [3, 45], [28, 75], [2, 48], [1, 50], [5, 77], [20, 75], [23, 89], [0, 47], [2, 70], [31, 81], [26, 97], [0, 70], [6, 77], [0, 69]]; loss = 0.013799 low_pass_filter = 0.300
+Epoch 0: | | 18629/? [3:15:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 18630; scene = ['de8093f620537a4e', 'd6693f13dec7af96', '53a2168e29e700dc', '1318e656455d56d2', 'd02e6b104723d39a', 'b9b73f46f1e5127a', '289adac94281ccb3', '1290f3a6418b3dde', 'b0325b428fb4d809', 'bd68e38461251abc', 'ed61194e58b2c571', 'af8f89209e0e86f4', '48934b9186514432', 'd8d7fde37c6cae30', 'c70df7ea8b91c8c0', '2244e3fc136669b1']; context = [[10, 55], [8, 50], [34, 75], [48, 90], [98, 168], [3, 48], [11, 67], [199, 257], [11, 78], [41, 111], [14, 84], [6, 52], [22, 71], [8, 53], [27, 79], [0, 41]]; loss = 0.011487 low_pass_filter = 0.300
+Epoch 0: | | 18639/? [3:15:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 18640; scene = ['0144de7e0f137b77', '9a6451d7cac94bff', '8b828069f8f824a6', '7dbd9d5adbc298b4', 'f4bd64444124a20c', '8032cb2f4ac9e342', 'f1bd032b9dbc3f7f', 'a8dd4730a65f88fd', 'e31486facd91f4f5', 'dd524a4305e778c8', '2abb97f6db84d481', 'eb5d599c32500465', '4daf1a5b162d8f4f', '08f56d6e5878317b', '723db63d24c84d1d', '014d6d0fdfb6393e']; context = [[57, 112], [1, 53], [188, 243], [4, 77], [41, 91], [23, 84], [27, 73], [10, 75], [10, 88], [52, 118], [9, 85], [5, 65], [36, 94], [0, 41], [47, 118], [46, 106]]; loss = 0.013983 low_pass_filter = 0.300
+Epoch 0: | | 18649/? [3:15:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.0train step 18650; scene = ['16a6aeb5f37bbc15', '98559ba700463778', '37d122d0725bac40', '7ca7b4f1a4303387', '9a9bf7642f56ac49', '33c9e5240e592f99', 'e99e4a230005fefa', 'a0030d74c6d8a763', 'acefb8ef31722674', '5c6c6c70effe40ed', '4896c75fdd4bd133', '8d5166588c8bc829', '8e1f97d8a91169b8', '0e875b5d0e45bd73', 'c1aad512bc9d3879', 'a8fc97a36a050e6f']; context = [[59, 129], [55, 100], [91, 162], [32, 93], [16, 67], [48, 99], [0, 62], [34, 79], [32, 91], [2, 58], [11, 59], [3, 55], [212, 267], [58, 133], [7, 78], [4, 82]]; loss = 0.016739 low_pass_filter = 0.300
+Epoch 0: | | 18659/? [3:16:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 18660; scene = ['4b3e4f4d3056fab4', 'f391fae87e93d237', '455a903202bfa5bd', '20587e73867cf38e', '8e9735d17c877f53', 'b0670933a991df6e', '9741eb65c3d6d1b0', 'ca438a6ab2eecee5', '3bff367484a62a13', 'e6ad4c3c1f32432d', '631cad8b289f732f', 'd8dbd08c09ba8f8f', 'b95e6b68ef7095ae', 'cc41785bb192e1ac', '3f7d83f0293a8c41', '0ec442f13aa4fb20']; context = [[137, 192], [36, 97], [133, 187], [70, 125], [49, 105], [0, 61], [136, 184], [78, 145], [209, 250], [34, 84], [4, 80], [8, 59], [37, 113], [84, 157], [3, 80], [0, 47]]; loss = 0.013491 low_pass_filter = 0.300
+Epoch 0: | | 18669/? [3:16:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 18670; scene = ['9ad4d1d1ed4eb565', '4d86a1c315f3295c', '8b91dc159b54003f', '95438f8f0da409e0', '5fe2c263662bf26a', '71dc6db29c7b5ffa', 'b11c10ead6589978', '15724e2f361f51bf', '8319fd2d11546716', '6bec285608bb9251', '2030baaadd722949', 'a393aaee7481300b', '5cdedaf7a73ab3e4', '0fc56ec486ae977a', '52280a3b86bfa933', '1e1d3ee71e56989e']; context = [[106, 164], [0, 53], [28, 75], [7, 73], [187, 234], [2, 58], [8, 84], [5, 66], [57, 100], [4, 73], [69, 120], [0, 70], [119, 182], [66, 118], [49, 113], [4, 65]]; loss = 0.013501 low_pass_filter = 0.300
+Epoch 0: | | 18679/? [3:16:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 18680; scene = ['a92a74acb10a8d04', '02118eb117ee2add', '2259ebad30a3dde3', 'ec89d2e3fb950351', '420dfaaf7a8f542d', '32eb9f3b07a73e91', '050dc1e2ec4c944a', '0d37a906aea762f9', '7018544e57f7f58a', '4b47048124bb163c', '815a4673285e046f', '06597971725e1577', 'd923a931e8582c3f', '0586a78aa1664230', 'b7e45d8a8f953221', 'a31787ba3f42448b']; context = [[0, 41], [133, 177], [24, 98], [20, 97], [173, 217], [58, 120], [40, 98], [119, 181], [2, 60], [109, 158], [16, 79], [2, 64], [3, 54], [11, 56], [0, 64], [0, 45]]; loss = 0.018186 low_pass_filter = 0.300
+Epoch 0: | | 18689/? [3:16:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 18690; scene = ['eee22c9d84b79d89', '7fd40cef6afc5ad7', '16a7d92bd74000a1', 'bdd49bcddc2a23ad', '999960df0bd1b66b', 'fcb56cad6e48c882', 'ed620e1c813d47b6', '65c4fbae3daf2d8e', '7ec761021eb0028b', 'ac4bb258d49d0f98', '520223a8d5c06ae2', '8b2c69b736f247cd', '073b1b758d5b58a5', '794bdbdbe73ddbc1', 'e772de3085cc5ddd', '17b59c28edfde65a']; context = [[6, 74], [5, 59], [39, 104], [23, 90], [19, 88], [1, 59], [5, 46], [29, 90], [31, 102], [1, 48], [39, 109], [10, 52], [4, 46], [1, 53], [3, 67], [7, 67]]; loss = 0.015387 low_pass_filter = 0.300
+Epoch 0: | | 18699/? [3:16:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 18700; scene = ['4fb7456109baffbd', 'f4e2ad73e8e71b41', 'b34e0d2de4922a5f', '13db405a18f9977f', 'f4169cc065e23946', '8a23c199d202ae18', '6358659579e5acb0', '84fbc35b738a2505', '32cfa955e0ff3839', '9a75df401b7b49fb', '87eb3c24cd3e337d', 'efffd933604457bb', 'c5ff8619cd8c1e5d', 'e5ed263a6f8a81a5', 'b98515d2ff990799', 'e12672448b46673a']; context = [[32, 74], [20, 68], [5, 66], [82, 152], [62, 117], [22, 75], [34, 98], [64, 106], [71, 134], [7, 58], [3, 54], [7, 70], [14, 77], [72, 127], [18, 83], [7, 76]]; loss = 0.015593 low_pass_filter = 0.300
+Epoch 0: | | 18709/? [3:16:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 18710; scene = ['177febf140d5e51d', 'fa88f170831e7ec4', '9b5e5cae7b474c8f', '791ee73a5a8b0dea', 'dafd793d52245959', '67e551f7010bbc58', '2880a663fcd65ac8', 'abdf580d488c0193', 'ff133f07dd0f56e6', '84e0a57f0cbe34e9', 'd0a2248b0823efa1', '1cf5859280ae575f', 'f3720bf52932b648', '6dc9af195dcf0f4b', 'd4e9baf07230d25f', '537ccfcaa8ec8508']; context = [[74, 142], [9, 59], [2, 51], [112, 159], [4, 62], [4, 79], [10, 66], [9, 51], [11, 65], [37, 112], [1, 50], [9, 81], [57, 134], [34, 80], [9, 77], [8, 81]]; loss = 0.011963 low_pass_filter = 0.300
+Epoch 0: | | 18719/? [3:16:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 18720; scene = ['9bf837c9b3c493e9', '891fdf0987991e47', 'aba0882649576542', 'b0b94d5a0d1604e8', '1c407840852ca073', '59e4226c65dc6a8f', '1530900920c69548', '0b22601aacc68028', 'eb842d968c878d36', '6c39921ab0917e6a', '5f1df53ecde43f53', '5cd4bb35d88b3270', '62fb41a11957144d', 'ef0b983016dfdb30', '755d70dd85ce7359', 'a1541d6ccd3dab8e']; context = [[90, 154], [27, 87], [0, 42], [33, 80], [31, 107], [1, 47], [87, 137], [33, 99], [158, 213], [0, 52], [4, 59], [8, 52], [13, 57], [85, 155], [58, 105], [123, 173]]; loss = 0.014145 low_pass_filter = 0.300
+Epoch 0: | | 18729/? [3:16:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 18730; scene = ['d44eb5d03836bfa8', '6726f4b1be3b02e0', '09c7171529d82a2a', '2abadda3f12274a2', 'e41dad3f906ed87b', '2b08d88dc7851fcd', '1f3bcac2fb6e1c84', '8604fb955c771d23', '1545821f510802e7', '1dd9a0ed267383c0', '6be724a70229bc17', '939a8aa139d55a9a', 'dcf621e6a39c58b0', '583048ed25adad4f', '81ee97f3eb44b898', 'ccc96485a1d79099']; context = [[0, 46], [0, 42], [5, 62], [21, 78], [56, 126], [34, 83], [78, 136], [60, 115], [11, 53], [2, 49], [54, 103], [9, 50], [149, 216], [53, 117], [6, 83], [81, 132]]; loss = 0.013107 low_pass_filter = 0.300
+Epoch 0: | | 18739/? [3:16:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 18740; scene = ['78632056dc5a1447', '02d8d1b0966beff5', '23a5a10ceb602732', 'aa0340ace90055e5', 'f4c528cf35bc4760', 'f8ca559f76485ab5', '6495cc99c12835d0', '18ed00d714916317', '2e942afcd1334f69', 'df91064f4d75da1a', '09a6ab6ebfa53654', 'abb64631476a51f6', '4f3be7403390f7e1', '25aca069a7b5ad8c', '3f40a05deb57517b', '9b72c44a6343236a']; context = [[1, 58], [89, 161], [40, 87], [37, 78], [177, 248], [43, 114], [55, 103], [2, 70], [0, 50], [67, 109], [47, 95], [25, 76], [17, 89], [11, 63], [18, 91], [7, 76]]; loss = 0.015535 low_pass_filter = 0.300
+Epoch 0: | | 18749/? [3:16:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 18750; scene = ['8d19d941ce56a547', '294ea2c50396e74b', 'ff6efbfe221dd063', 'd8f03a844bbdc082', '8c9abf848e6741e0', '6bf3cb7da39daba7', '26b0937fc13a30e2', 'f639db1cd1693ee5', 'b44cee55feb751dc', '6e7ce35f8c5186fa', 'f48a588058bcf739', '837c274707b7df8c', 'ee64a37578b95291', '11cf5a68f7ff0bbf', '1a94853a9174add5', 'ba5a00842f3e96e0']; context = [[141, 182], [172, 218], [8, 62], [9, 82], [31, 73], [63, 124], [9, 74], [35, 83], [13, 59], [64, 113], [4, 54], [2, 71], [61, 140], [55, 96], [24, 92], [5, 51]]; loss = 0.014413 low_pass_filter = 0.300
+Epoch 0: | | 18759/? [3:17:18<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 18760; scene = ['e257408aebee8296', '7ce03a48c280ca1f', '636dc42413fab3de', 'c7eb0f11acbee2b1', 'ef7412f29ac99051', 'e78ea0051cdfb8a2', 'b799dd086991d0b9', 'dd3c91a3d91bb3ef', 'd0cea94d114a9d7b', '2add74c57b95fbed', 'c779f99d433a1069', '09c19f8ce4da6eae', 'f72de67ae0a30579', 'fcffe98256ef69b7', 'fc36a95ce36f6aa0', '7b3e6a84de0b0f68']; context = [[2, 63], [22, 100], [65, 126], [191, 268], [6, 57], [62, 132], [1, 42], [54, 109], [17, 65], [44, 112], [76, 124], [25, 82], [30, 104], [11, 83], [1, 64], [20, 89]]; loss = 0.014189 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 18769/? [3:17:24<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 18770; scene = ['95522bc4e658c4bb', '33db6ac69289503d', '81345a31168aee37', 'c70b9fbae0d5fc6f', 'c70a420b1d7dca8f', 'b4e78cc06154f93c', 'ba2a2ce5a110fb53', '5d24370ba26f6290', '303a11da92faeb07', 'd1ac9667409f147d', '206f207ba1fba3f9', '84556fd53fab52bd', '62be828d9ba51471', 'fe3356c41851577a', 'c57d46c213a2a46a', '4025118849bd1fc9']; context = [[76, 148], [59, 109], [0, 41], [4, 49], [2, 66], [5, 51], [23, 77], [2, 53], [1, 53], [18, 97], [167, 244], [35, 108], [99, 176], [24, 85], [29, 75], [43, 85]]; loss = 0.014375 low_pass_filter = 0.300
+Epoch 0: | | 18779/? [3:17:30<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 18780; scene = ['613c8ac8e1030890', 'd7ac8e9cbef709c3', '0492445f09a9bb4b', '4f7df7eadd38a5e5', 'c7ee29701719ff1a', '662a9e07c239751f', '90eab4f32afc0755', '1516a2cce3cc86ff', '82df5c0953501417', '27027861652c32c5', '05a52f361a6d3cd1', 'f19f3a8c609a931e', '050b389ce2fcca03', '3c6672f82f7440d0', '38e96cff15428333', '418eb9f06382bfc3']; context = [[40, 114], [18, 63], [26, 76], [22, 67], [19, 88], [13, 67], [13, 88], [28, 91], [134, 201], [46, 100], [76, 141], [15, 70], [73, 127], [4, 45], [2, 51], [2, 70]]; loss = 0.015083 low_pass_filter = 0.300
+Epoch 0: | | 18789/? [3:17:36<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 18790; scene = ['b9baabda7e1103c9', 'ceeb544dc7e54313', 'b27550ce7b33d218', 'e4d69e87d73f574c', '5862391ea26da3ea', 'ece5216326fa2f72', '1fd04b3b726fc68a', 'd637df47561724e7', 'b72d9fdc671b2e3f', '5016750fece91181', '012019df6ff17e30', 'bb7ebd1a4b790368', 'fef25b6e3dd7df54', '5f11cb8586e71895', '66142899889d749e', 'dfab3206eb0221fe']; context = [[11, 72], [116, 162], [21, 94], [73, 141], [5, 53], [12, 55], [6, 80], [25, 102], [3, 46], [24, 66], [8, 55], [1, 47], [41, 82], [13, 75], [34, 112], [17, 63]]; loss = 0.013762 low_pass_filter = 0.300
+Epoch 0: | | 18799/? [3:17:42<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 18800; scene = ['4da4e150132bda01', '12c1a317df1d9ecc', '6328887e79625528', '6320c5eab53b79e4', '3e683c38d6cb64d0', '250f2ede2019a91a', '5118e208d551104d', '46b81f067b56100f', '51da9e0a5042d403', 'edeed898716ae4dd', '8e9e11147dbcba30', '6fc7d08ff0b3eaee', '3fdecf55795963c2', 'b38e1fa414180239', '019bf9d48f4362ef', 'd1c6899b6c6ef917']; context = [[21, 71], [2, 81], [14, 59], [17, 78], [2, 45], [28, 95], [188, 250], [28, 100], [88, 151], [35, 109], [31, 82], [35, 107], [119, 177], [146, 211], [176, 239], [106, 154]]; loss = 0.012774 low_pass_filter = 0.300
+Epoch 0: | | 18809/? [3:17:49<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 18810; scene = ['f13e60a7684a798b', 'c391c8fad43fdc03', '745c1172a0e6f030', '11ed947c71b23489', '0f1cb2c833e548e1', '287fa3311585b47e', '10c593c198cefb14', '30d76af0e3ee8dfe', '698222b8a31af80e', 'f92103729509cb02', 'b8ce556583bf4ea0', '13438083c0db8515', 'b2a6eb70de2ff1fb', 'f4cc5be3eb218af5', '21ff605ea895dacd', 'e19c6facac1c9624']; context = [[33, 99], [5, 54], [0, 44], [6, 61], [3, 72], [76, 145], [7, 71], [141, 217], [115, 190], [2, 64], [4, 75], [57, 105], [69, 119], [99, 144], [16, 84], [1, 54]]; loss = 0.011793 low_pass_filter = 0.300
+Epoch 0: | | 18819/? [3:17:55<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 18820; scene = ['a2151466adf3ea7b', 'dfb5a9520914b47f', 'caaa3fc275a88f47', 'f61765e35a71eddb', 'af8fffe3e8a37012', '94909b2d4c6f7c59', 'aab31ae8c4285ef5', '54ae91584d0c5aa6', '1942870da88e20ed', '2eba78ad3a6eec8f', '47d6678d29b5b7f1', 'a493d4f64676d82c', '5b736edcd056b70e', 'd7186fea6aed423f', '692226bcc0ac794a', '0f8ec16a7fee8ca4']; context = [[70, 118], [36, 87], [203, 245], [1, 67], [0, 41], [4, 60], [1, 59], [10, 74], [131, 184], [15, 67], [62, 140], [35, 83], [2, 80], [70, 140], [15, 72], [22, 74]]; loss = 0.013193 low_pass_filter = 0.300
+Epoch 0: | | 18829/? [3:18:01<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 18830; scene = ['9c8081404a3f7882', '0ea602343e77c593', 'b28bf243cf3e48b6', '7efc7102b3b079d9', '75cf72cbf86f26c0', '6e521142e65f6c17', '75134d5964b209a9', 'ca1fde2400756850', '0a76fe2e2dbe992d', '1e901762e6303bd1', 'e66b797b12d9b3ae', '552dfd0a1d1ec11d', '16a6aeb5f37bbc15', '7ca7b4f1a4303387', '0e164975acc659a2', '9a9bf7642f56ac49']; context = [[34, 90], [2, 65], [23, 90], [4, 47], [32, 83], [9, 82], [7, 82], [18, 74], [21, 89], [29, 98], [0, 55], [1, 51], [100, 157], [13, 61], [23, 64], [5, 53]]; loss = 0.014244 low_pass_filter = 0.300
+Epoch 0: | | 18839/? [3:18:07<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 18840; scene = ['a5d0ef34f899ecab', 'ab9129e394e44ed8', 'ec9c2a32d19bdf0c', 'c3cec39b97315eef', '469dea2a027fbf29', 'd99bc927fc414c61', '13d807ca41a87e84', '5ed97c63db29a026', '4714e4012c55f466', '9c350ab081d20885', '4e80959d582914fa', '0a2b30f8255c2a93', 'a1d1c182d3b2ee90', '50641afd11ba76f8', 'c9266f8b6968ca51', 'e3b385876279e0fc']; context = [[126, 170], [2, 44], [50, 105], [19, 63], [9, 69], [21, 71], [53, 106], [29, 84], [17, 78], [20, 71], [13, 67], [0, 41], [9, 64], [89, 155], [5, 66], [22, 100]]; loss = 0.018485 low_pass_filter = 0.300
+Epoch 0: | | 18849/? [3:18:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 18850; scene = ['7c116fe539ee7847', '73b00d7478902cd3', '916569d56a2cd4d5', '7b268ad21c2b9512', '0dabb3d90ac5a16b', 'a5c361c22b789275', 'bdf8f6b850d6dd02', 'ef7aff8b7ac0037b', '4d77ff1e09cd1158', '3094f248b96dfe8c', '5df1aef749bb19c5', '87247e6e4d43fa1e', '952d3623a4b9befb', '4f5699de910b5725', '238c273ef45e76cc', '4da9e7a05f00114e']; context = [[12, 78], [10, 84], [41, 90], [8, 53], [10, 67], [7, 81], [1, 48], [0, 46], [11, 64], [22, 87], [167, 218], [90, 158], [30, 73], [7, 70], [1, 79], [30, 84]]; loss = 0.013788 low_pass_filter = 0.300
+Epoch 0: | | 18859/? [3:18:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 18860; scene = ['c80daac3b10f42f6', 'a9b70dd896f7e8e9', 'e67e76536d6b86f4', 'b995a8f12125ac6a', 'faec00f5ad1203b9', 'c0c21b050511ef76', '704f321e2f7ae62f', 'dbb0eec549cb5e45', 'c315feff5caaf789', '96b288f5d1c515bc', '1ab9594c7015ecdc', '6a770609acf21a54', '117c40ed2a9e43f3', '82d16f436a69a71c', 'dea4f2fd63133d6f', 'b2262395c0d1bb4d']; context = [[13, 74], [56, 105], [25, 89], [32, 75], [19, 87], [192, 243], [119, 187], [43, 99], [6, 83], [28, 91], [66, 131], [6, 79], [16, 63], [3, 51], [34, 99], [139, 217]]; loss = 0.013869 low_pass_filter = 0.300
+Epoch 0: | | 18869/? [3:18:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 18870; scene = ['67303c1c83feffbd', 'b1f61faf9c2de753', 'c2f4a9a48094a748', 'd5fe718b561e0c6a', 'd3aa865d26ebaa1a', '5f29b6d60b37b94a', '9c528e44da5e641b', '8a3e2cbeedd91c29', '4ea1466c774138a3', 'ea720fd9e78aba6c', 'a169d1eb79c6ef68', 'afc2ebb38d0f6d9c', '4ea9204e6a39cac1', '3053c34f9a88674d', 'd8981b5d48c6874a', 'b896589ac9f0519c']; context = [[0, 58], [23, 101], [1, 45], [0, 51], [98, 157], [58, 108], [3, 47], [36, 105], [22, 78], [3, 44], [84, 128], [28, 82], [114, 185], [34, 103], [7, 77], [6, 57]]; loss = 0.014539 low_pass_filter = 0.300
+Epoch 0: | | 18879/? [3:18:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 18880; scene = ['87d840cfccb47c75', '2d1b22e8ab3d559d', '27973df329d50c4b', 'a0f7572e76d87441', 'd924ea5aa3707662', '08e27ee11557632c', 'dfbeb78b2b8c99e2', '7654f28a71c8b0a9', '15be5925908185f9', '25d6f10b8d881940', '22a705dbdc98cc4f', '5c264ea5cb7804c5', 'bcd621665fabf254', '48cfc82a1cc3ee30', 'ef61fa01cc558ce0', 'b7a01752401f8b53']; context = [[75, 118], [8, 50], [113, 168], [1, 64], [110, 157], [14, 59], [14, 89], [52, 118], [35, 101], [1, 48], [2, 63], [91, 161], [118, 165], [7, 77], [78, 119], [18, 59]]; loss = 0.012544 low_pass_filter = 0.300
+Epoch 0: | | 18889/? [3:18:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 18890; scene = ['db1a78ee1b1e4377', '4289af9553e84aa7', 'c9ba105b875e59e2', 'c2b65a57bc508390', '5707c016b8cefa74', '9e845463bcff1d2b', 'a29b38d5b82644fc', '8a369f40b9ba7348', 'a436278141ae47a3', '07a8bb73784b9efc', 'ac704e6be22d4ffc', 'a6c70f7816a833ed', '3e05de98609eb531', '90627bdb5d03335c', '8c847be312ef6f7c', 'ffeaf3cac2d50a3f']; context = [[55, 117], [195, 254], [7, 67], [76, 136], [65, 115], [3, 53], [2, 70], [104, 168], [155, 221], [7, 56], [31, 79], [18, 79], [22, 64], [14, 67], [75, 136], [8, 68]]; loss = 0.013782 low_pass_filter = 0.300
+Epoch 0: | | 18899/? [3:18:45<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 18900; scene = ['f47ef2cb367b7918', '0f1cd7d1fa0adfa9', '15703310d72f7df8', '65ec7febd49f75c0', '5f790b50d11f52b7', '28a2f4302568c2a3', '6b9db893e23474dd', '29283bedb1017665', '06167d62e6dae9b1', '78ee4fc730f480f7', '9bae98eb98dc2337', '4ab2f39dd49c4504', '9b2df5fd2d1202fb', '3475faef8773695c', 'a45555d2f55ced45', '908ebbb6694782ad']; context = [[132, 175], [7, 49], [66, 109], [33, 110], [51, 129], [35, 101], [1, 54], [17, 65], [11, 64], [8, 51], [73, 114], [1, 59], [1, 43], [52, 129], [74, 133], [38, 107]]; loss = 0.017590 low_pass_filter = 0.300
+Epoch 0: | | 18909/? [3:18:51<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 18910; scene = ['276c268acac9eca8', '67c964e4dc73f102', '361942c99f3909c9', '8794b542b373e060', 'df6f66c2da76a830', '4de744d02929d26d', 'af71d7a4edf61c31', 'df60735cc0b10f39', '4c67794685bd07f4', '61cdbe0f820614ee', '357d019a023312c7', '192bc7d63e77a5c3', '5f1fc19943805c2c', '22edf9279359ca32', 'ce072a0a0665a1f8', 'a4f278a88650c331']; context = [[32, 102], [83, 136], [22, 89], [90, 148], [199, 245], [10, 75], [12, 74], [37, 92], [13, 68], [110, 176], [42, 84], [27, 79], [38, 112], [76, 151], [0, 47], [51, 100]]; loss = 0.015861 low_pass_filter = 0.300
+Epoch 0: | | 18919/? [3:18:57<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 18920; scene = ['a0438ace9b7619cf', 'f54731b471e7b2e5', '77c03290d901ec15', '1136264929a1c20e', 'e616312de3f164bc', '2870538dbc6f5d1c', '4b15ea1560f7c424', 'c7c6c4112a3badf3', '031ca18c9472f03e', '53e9f13ccdca849d', '1589d2164305202f', 'a514bcc8aced0356', 'f0e3087ed60f8e68', '256bf843493c6450', 'cc44fa522a2027be', '85d089291fa710c5']; context = [[4, 74], [36, 84], [1, 58], [16, 64], [24, 70], [50, 108], [4, 83], [33, 87], [70, 140], [88, 150], [17, 85], [1, 73], [44, 107], [12, 88], [204, 266], [4, 60]]; loss = 0.016462 low_pass_filter = 0.300
+Epoch 0: | | 18929/? [3:19:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 18930; scene = ['057f50598a482ff4', '3b1f961282084e9a', 'a9ca4566d7ea324b', 'dea99f78e85d0c68', 'a16e0e65ec825110', '2cd12500e4a796bf', '0b9b11980bf84185', '03517651ba03d4c0', 'd3fdcab14fb08494', '1cbf1e19769304b7', 'bb8e9c543da87e11', 'b1e9f0d6cce870b9', 'db83efb82741525d', '292ed237c4689f0a', 'fea20641f75fac55', '01f7b353655b6eeb']; context = [[15, 84], [79, 152], [7, 73], [42, 106], [4, 55], [2, 61], [0, 50], [8, 62], [6, 62], [35, 109], [84, 152], [15, 70], [52, 102], [55, 118], [4, 61], [87, 156]]; loss = 0.015081 low_pass_filter = 0.300
+Epoch 0: | | 18939/? [3:19:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 18940; scene = ['7f1751104002d662', '8e034787b1b72c40', '1633ad8fad07a9ed', 'dd9483e04108ca18', '57fadd61d10ba765', 'b2e94061f4259ea3', 'b9b0b20e1f2582fe', 'd3e425ca2b265160', '4ad230367de1d176', 'c0c90f58a6a63f77', 'ea91c58758e23491', 'd3f442922c9494cf', '393170e2cba92637', '00559a2a16636897', '78fb7d0d8b14e585', 'c99cbe4d23718af3']; context = [[6, 67], [97, 158], [49, 97], [35, 110], [78, 124], [58, 100], [89, 150], [121, 172], [40, 92], [5, 49], [0, 53], [10, 52], [59, 110], [105, 155], [21, 71], [5, 53]]; loss = 0.014200 low_pass_filter = 0.300
+Epoch 0: | | 18949/? [3:19:16<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 18950; scene = ['e2f2a27bfce53270', 'cb909af59c697361', 'd6e831e0be07e220', '0a5015106764b29c', 'a660d0f19f982875', 'e9102c12371391d2', 'd8940a999b9fc9d8', 'e86d58037df08f8d', '6f8cef3a417b9297', '6870cf53e1c5b7d7', '8ab60023442c3386', 'ebde7417faa1d8ca', 'dd65f639eba32074', '680d4124176c3dad', '0fe465f3fdda5e7e', 'c28024f75eaa554e']; context = [[191, 234], [11, 80], [162, 215], [13, 64], [26, 97], [158, 228], [15, 73], [40, 106], [26, 79], [98, 175], [1, 44], [12, 61], [180, 252], [51, 118], [45, 103], [83, 156]]; loss = 0.015707 low_pass_filter = 0.300
+Epoch 0: | | 18959/? [3:19:22<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 18960; scene = ['c596a8ad95d20b94', 'e9b2255a80860d7e', 'c5324b22ede53808', '6e19ab45a3982600', 'c7c587ce549f15f1', '5330277d65425975', '69b274f360215d7f', '49409514f8f79c84', '77ff8c06da2d057a', 'f31c5a6b9ad29f74', 'd89902a23855e483', 'f85c2b6f5a310fdc', 'd05fc17864e05a2c', '9739a6fad4b28ac6', 'cfd0874da7e13ec4', '60f02dbad72bb13a']; context = [[7, 81], [37, 112], [3, 77], [33, 103], [9, 75], [59, 114], [9, 51], [26, 84], [29, 99], [72, 122], [0, 59], [69, 146], [83, 150], [155, 201], [4, 66], [50, 100]]; loss = 0.017599 low_pass_filter = 0.300
+Epoch 0: | | 18969/? [3:19:28<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 18970; scene = ['d170a72d5c176223', '238c273ef45e76cc', '4da9e7a05f00114e', '4f5699de910b5725', '96e64cff9e0bf42e', '46dada9a4e71accc', 'ebda2fb8a6dab1fc', '88f2eab323acbc74', '1cd843069eaaefa9', '85cd7765de239d19', '7efd5aa344bcb8d9', '0a7cdd7ee8c0d8ef', '43b164b5a6011d2f', 'ac6468e16d1eee95', 'c35bcc77920f123f', 'f1a9f95ae3c51524']; context = [[85, 155], [13, 54], [1, 56], [10, 77], [31, 87], [35, 79], [0, 41], [4, 75], [103, 144], [2, 57], [38, 84], [12, 70], [143, 195], [6, 60], [97, 145], [42, 100]]; loss = 0.013405 low_pass_filter = 0.300
+Epoch 0: | | 18979/? [3:19:34<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 18980; scene = ['c5fd05e61423e739', 'dd26d8f5b166f274', '5f55eb6c1fc4b224', '53701cfab9d31b4f', '824e8f2ce491283e', '25404e3588d54e14', '70c416d773ef02f7', '8f12d727ce599e93', '51a39b25696c0c87', '7e266b3192651510', '7d1d5f8c68d8e947', '294695369d28f90b', '41b0325496a3b8d1', 'f64532570df27c63', 'a63650c91b0f17f3', '71becabd789f58ab']; context = [[115, 170], [49, 116], [7, 61], [219, 271], [47, 122], [6, 63], [26, 81], [1, 69], [3, 81], [0, 41], [7, 60], [61, 127], [62, 125], [33, 78], [29, 97], [1, 62]]; loss = 0.012487 low_pass_filter = 0.300
+Epoch 0: | | 18989/? [3:19:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 18990; scene = ['09109e0c9711a480', '76ef43c1ccfc8990', '45d236b2e235ca82', '3cf925236cbd3e5a', 'b495ca300c80da14', 'd1982e484d90d2a2', 'c0f868004d9e5108', '4b3d85f1491b9428', 'd4dc4410ed9c86cf', 'e7a2a548112a8c20', 'f7b8f613963a75c2', 'fc4e7c449d69fef9', '5f4184dd10762342', '1f1f40b70eea9eef', '8578466cccf22046', '872252302c42fd77']; context = [[229, 276], [220, 268], [28, 89], [1, 76], [4, 46], [14, 71], [11, 59], [67, 136], [0, 47], [59, 135], [136, 201], [50, 98], [54, 122], [67, 146], [48, 122], [89, 157]]; loss = 0.013196 low_pass_filter = 0.300
+Epoch 0: | | 18999/? [3:19:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 19000; scene = ['81a5191642a4e2f6', '7a8d46027f9bbe0f', 'b2d3d3785c64f640', '104d225e8ec52733', '55f0fab213db4673', '3afed25f2ffc4864', '0d8f65989586d136', 'da794e5b3ff8bd6d', '2735d9182acee2f1', 'e045088757e72c54', '7fde9a464e6b2a7b', '0f04f8ee8b2396c7', '5b9d1cf99dc03ea9', '39f7c76ef42ac1d4', '17fbb941d129b91f', 'aaece70a39dd3257']; context = [[17, 75], [99, 155], [1, 44], [20, 94], [21, 77], [0, 75], [174, 229], [14, 76], [0, 47], [91, 163], [6, 59], [2, 66], [33, 90], [4, 76], [149, 202], [28, 79]]; loss = 0.018690 low_pass_filter = 0.300
+Epoch 0: | | 19000/? [3:19:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0validation step 19000; scene = ['f3f53a823ea18d9f']; context = [[101, 173]]
+Epoch 0: | | 19009/? [3:19:54<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 19010; scene = ['bfaf7588ae5507eb', '9308b0309e860d89', '6f29d2f4950be336', '1e16c3f44fb40c63', '804c26118696da0b', '6b636cd3f339790b', '316f04cd97503684', '6b4aa6e3b092e947', '0841dc352b358629', 'de40426a00dab49a', '97b534cebf6de9ec', '9b69f9f998575d69', '993d1f1c6062a6be', '20153915281668a9', 'fe0eb7aed6e113b3', '05c144bb81c4f16f']; context = [[0, 68], [18, 73], [107, 164], [119, 172], [17, 65], [9, 65], [138, 186], [57, 109], [26, 72], [6, 74], [6, 65], [82, 152], [41, 90], [187, 234], [17, 95], [64, 140]]; loss = 0.013603 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 19019/? [3:20:00<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 19020; scene = ['07dda1bf6f120ed9', '2da742368e36cf1d', '6d74ef273a988ea7', 'df06aa23127e2ee6', 'a5be41b89080d8f1', '542a67b1e982396e', '903811649da7395a', 'dad6bfb8b50afd08', '07eec8f5879afb07', 'edb1bfd370d7c89d', '871ef22f5aa9b2d6', '017c0058a6c6e645', '343f2c2d3fd75fb7', '70e43f19fe209071', '61b37a9ddf06ebeb', '69c9408ad6a92739']; context = [[121, 165], [162, 207], [32, 104], [40, 91], [58, 108], [41, 95], [16, 88], [92, 134], [29, 103], [12, 53], [47, 93], [76, 131], [89, 151], [16, 72], [10, 81], [49, 102]]; loss = 0.012141 low_pass_filter = 0.300
+Epoch 0: | | 19029/? [3:20:06<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 19030; scene = ['5bf2a8678bf8873f', '3eea789bd08466be', '2914a113720f22df', '796992d4461f7ebe', '67b087c6e50f357d', 'b447f115286b8170', '635ca6b4e8c7da41', '22947b2433ed9dad', '4bf9734eb4bcc234', 'a8525660357e659e', '5508ac103ddf830e', '5370748c74a99ed5', 'cffffa4c0548a72d', '144913b1e5d43257', '8e3dfce25f2d216a', 'bbcc18ce68c1bcf2']; context = [[5, 62], [14, 73], [33, 76], [0, 41], [31, 83], [41, 83], [36, 87], [36, 90], [46, 124], [12, 74], [148, 198], [6, 66], [124, 181], [15, 93], [132, 178], [44, 121]]; loss = 0.014013 low_pass_filter = 0.300
+Epoch 0: | | 19039/? [3:20:13<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 19040; scene = ['2a3ad705b43476a8', '082c89448fae34bb', 'd422e6d19f76b87b', 'ac8b3ea31c649bf0', 'c5b58ed9710abee4', 'dc4e8a0ec023a5c5', '38b9f9740e2b68ae', '81c21583062356a9', 'b8e3e36fbfd0bafd', 'd7ecf657998ee676', '05eefc30d18c4cdf', '7ff6a746540ff73e', '1b6a89b03bc3d99b', '9d1f5957211056b8', '828399209d5ffc4f', 'f76b02964abe7d74']; context = [[78, 139], [117, 177], [141, 216], [26, 76], [60, 128], [5, 62], [6, 76], [158, 201], [68, 142], [74, 128], [14, 70], [62, 111], [204, 252], [3, 51], [137, 184], [11, 81]]; loss = 0.013425 low_pass_filter = 0.300
+Epoch 0: | | 19049/? [3:20:19<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 19050; scene = ['86a3db8894e7c39a', 'c7ebaa45b364c9d4', '768c144e245415a2', 'e0a7d183158cb1a2', '97cd7fcb21aa841e', 'e4ad77a941628fea', 'c5f2e6776dac629f', '23f38236666f61c8', '998b9c32167e24af', '70cccb9c7d04585e', '8dc02ad9f06c82b6', '3b77ec0fcfd8373a', '9b1273c8f696f5c4', '9e361d7c969f1f0b', '01b1548c7d661213', '4d0a07abd5489371']; context = [[18, 93], [5, 83], [35, 76], [8, 72], [127, 180], [19, 86], [25, 74], [25, 89], [191, 261], [35, 97], [9, 54], [5, 53], [22, 75], [14, 77], [15, 80], [57, 116]]; loss = 0.012535 low_pass_filter = 0.300
+Epoch 0: | | 19059/? [3:20:26<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 19060; scene = ['4bc0f7093a371680', '024713d50b2ab06b', '02d4d0c729448c3b', '2f89f8bf5ccb7b5f', '0a5f16215d1479ff', '36bc8f17c259c97c', 'bf284021a189d59c', 'ece2c8a087bb867c', '106158687398cbae', 'af106b3ab985191c', 'a560ee0cb837acdc', '4fb9a68bc510c6d4', 'f7789bcbce7f114c', 'bc5a6fe47d65b9bc', '6980cb470e01162a', 'cf33fd6114fc1873']; context = [[210, 257], [13, 55], [17, 92], [8, 52], [4, 54], [51, 111], [31, 77], [1, 54], [230, 272], [0, 44], [5, 62], [0, 47], [23, 95], [33, 100], [11, 78], [7, 51]]; loss = 0.015402 low_pass_filter = 0.300
+Epoch 0: | | 19069/? [3:20:32<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 19070; scene = ['5413aa42cf24a615', '9afa50a185693113', '972d1682e9cd6bce', 'd11d6c1af1241641', '535c220727db7c2e', 'fcbfc24d0e5e838a', '9a4fa2310315a6a3', 'ca2de62918f11871', 'e68b41f0c16dc595', '8b1f279df13e9822', '661a856ce9c10e56', '314409cd008aa91c', '0f1c0b32d36804e5', '5714c004758116a1', '8b657567165233f3', '0ad2c2fd63c778e9']; context = [[7, 71], [43, 98], [30, 100], [1, 73], [50, 101], [214, 277], [22, 93], [14, 87], [7, 81], [45, 98], [21, 86], [8, 69], [9, 67], [6, 65], [3, 56], [10, 62]]; loss = 0.012980 low_pass_filter = 0.300
+Epoch 0: | | 19079/? [3:20:38<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 19080; scene = ['1ce140bd016b2813', 'b9b418fb1cb8b12d', '641310a2d9c88eab', '4bd13783695ed549', '412804362c1bce61', '8568c60d6f777386', '8318c0eb37a154a4', 'ec5be7aa42eaa9b0', 'af05e9f84b56ad4b', '0880f556a19d07f5', 'ca88e751361b34fa', '390fce4d1f115207', 'ec94c6fff965a9f9', '9ba631ec8a1568d2', 'ea35751c4ee60f5c', '071373b20ca8de21']; context = [[38, 118], [8, 59], [13, 93], [24, 103], [0, 52], [62, 128], [50, 118], [21, 97], [13, 88], [109, 182], [4, 54], [10, 86], [28, 97], [176, 240], [21, 64], [122, 171]]; loss = 0.016026 low_pass_filter = 0.300
+Epoch 0: | | 19089/? [3:20:44<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 19090; scene = ['ba00c4e1f8ac58b8', '3ce0fba2c29095e1', 'ae1f8320f520c207', '8b9febb103bd0329', '60a97b36cd3bb5a8', '56dfa6b3aac18a3f', '058e963a20fc1e3b', '59e6a4d39aff7400', '03815eea8ca6177d', 'aef0399ef65f8220', 'f43d2bef985662ff', '5b458ff356ffb1a3', 'fc7ddeeba1b5ae54', '665d2d7180171385', 'ecfb5f52660e0c0b', '4b15f667a6a78b85']; context = [[0, 75], [6, 86], [180, 248], [81, 132], [85, 129], [47, 114], [75, 145], [58, 135], [177, 225], [0, 57], [124, 183], [160, 230], [9, 66], [90, 162], [207, 254], [78, 150]]; loss = 0.018228 low_pass_filter = 0.300
+Epoch 0: | | 19099/? [3:20:50<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 19100; scene = ['0676fa0db5cd5dc3', 'ca42ace03f87cc36', '427fa27ba9d98e00', 'cb2e7c525b2a06bb', 'bfb5ae7e0ff35145', 'ac0c4d05225aea53', '5b96b7d7f025099d', 'f9195769208f3b78', '941a8e3ebd83048b', '481700de6e39bbfc', '25b033bd4c05f4e1', '4ad69b33e8e470f7', '140d42a91ef71978', 'e1dae07984c41f6f', '2d6f6673d121eb96', '7cd0dfe42850cc65']; context = [[8, 76], [45, 112], [6, 56], [12, 65], [36, 85], [5, 50], [80, 159], [133, 177], [27, 77], [23, 83], [19, 96], [61, 111], [19, 92], [8, 87], [2, 46], [4, 64]]; loss = 0.016330 low_pass_filter = 0.300
+Epoch 0: | | 19109/? [3:20:56<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 19110; scene = ['112fe719672b039c', '78c6a6ee640ddd5d', '24e3c8fc3a7f2c55', '7c1ed1fd5eb3d2a3', 'dd4b7d63eb889f4c', 'f12f15a49d26e3cf', '24b6b26c35cf6785', '4da37b55d1d3f55a', '54627c21e596981e', 'b0b372ac64a28928', 'bfd08d4d51f0a055', '582b5253fe22067f', '7a88e5ce50e26575', 'f91c62cbc0f2b02c', 'c3e2fbc921ed136d', 'ac7dc6792b6062ba']; context = [[26, 71], [118, 183], [45, 94], [15, 67], [19, 66], [125, 193], [155, 227], [13, 56], [113, 158], [73, 145], [72, 152], [1, 66], [97, 170], [19, 88], [6, 74], [121, 174]]; loss = 0.016440 low_pass_filter = 0.300
+Epoch 0: | | 19119/? [3:21:03<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 19120; scene = ['45640ebc88e55a99', 'eebbabe770803962', 'b7a4d8bb62482f41', '97be57ad8c57e50e', 'bd17df2a73c9610c', '9995ebd239715b8e', 'cc3b2bb760ce5ade', '2e25e9e465061299', '736fdcac4334bc20', '202b9a0a354f2059', '0b48360f07bde1ff', '395b32343999e1a7', '3507a192abd163e8', '14a12379ac4fde73', 'f31b593e5f477596', '30e84380ee5fcbd4']; context = [[10, 57], [12, 72], [62, 116], [125, 195], [199, 244], [23, 89], [4, 58], [30, 77], [7, 50], [19, 78], [33, 94], [46, 107], [38, 87], [4, 69], [37, 98], [207, 278]]; loss = 0.016083 low_pass_filter = 0.300
+Epoch 0: | | 19129/? [3:21:09<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 19130; scene = ['5e202297ef524354', '224c2bca8bdc3231', '8ba4540e85be5b46', '065253fc4e00d30c', 'd2a5cdbdc5060e5f', '46968265954c2abc', 'e0820fda0d0074f3', '73dbf61978e22f0d', '8c338ffc0f63d256', '464b39207f6edea6', '62d36b447e464a20', 'ec36aa235dc5a597', '4089d9cc4c12d41f', 'd146ac2178174b0b', '062086066c0ea441', '582e55ec65468ea7']; context = [[37, 103], [194, 264], [5, 50], [30, 88], [130, 204], [16, 69], [0, 67], [54, 95], [28, 70], [61, 129], [31, 83], [26, 100], [1, 56], [0, 45], [7, 49], [137, 181]]; loss = 0.015583 low_pass_filter = 0.300
+Epoch 0: | | 19139/? [3:21:15<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 19140; scene = ['47e83ec491cf4c7e', '7114c943bd1451ab', '795355a4fa068e8e', '95103ea68d4425d5', '99a0790d72e6c2af', 'a5b0a41151c1a7a0', '97202d89e28fd471', 'f46fdb94ef36d8db', 'bd9f2096d355b1b8', 'd17d6e951b1fb862', '8c8b3abc5ee188cf', 'b8a31df5ed4b5201', 'd9121fd963a819a3', '23b93c505afa66ee', '3b0b68d41e6ba982', 'a7f2a84e3c3d2246']; context = [[18, 70], [56, 116], [8, 49], [0, 46], [57, 120], [151, 204], [90, 168], [0, 41], [12, 57], [2, 49], [218, 261], [2, 59], [26, 90], [5, 79], [17, 81], [9, 51]]; loss = 0.013972 low_pass_filter = 0.300
+Epoch 0: | | 19149/? [3:21:21<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 19150; scene = ['81e76c5935f6ab0a', '9acaf450371da000', '4756c1b6b5863753', '9213635ccef65666', 'a51531b49617fbef', 'cbc3b5b1de3e8d42', '758b1ed875a3209d', 'f78d853148097f67', 'c152ab577a837dac', '6fa675711973ebba', 'b391c9c966914810', '5ae6cc7cfcd39f73', '79fe704a7b031378', '6bbff5ccc1c269f7', '6fb73a6af5090f17', '15573128c45442c8']; context = [[1, 51], [169, 241], [6, 78], [116, 182], [2, 70], [39, 113], [47, 127], [67, 130], [8, 59], [45, 89], [71, 112], [157, 233], [19, 64], [12, 64], [1, 43], [8, 81]]; loss = 0.012744 low_pass_filter = 0.300
+Epoch 0: | | 19159/? [3:21:27<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 19160; scene = ['eb6ed96d7b06c526', '2289780f7fdb5091', '35a67ce0f0a56dea', 'fbffb9c21146ae12', '4ba7f6dbeb55b20e', 'e694c49a95468287', 'ca69181244bc4794', 'e3ea1d932cb61b36', 'b4bfd76a9c071c79', 'ef8abc1b989a812c', 'f13084d6692c6510', 'fb4d48424bf2f030', 'a8d8862f47f2b4d6', '328f4a1bb0f7419b', 'c2ca510a4a1617f2', '0ba56b76de23eac4']; context = [[28, 94], [17, 64], [0, 42], [46, 117], [11, 70], [7, 82], [7, 49], [23, 90], [195, 263], [28, 96], [200, 250], [32, 106], [2, 62], [11, 85], [29, 108], [6, 80]]; loss = 0.015885 low_pass_filter = 0.300
+Epoch 0: | | 19169/? [3:21:34<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 19170; scene = ['6c2e8304296b57cc', 'f2de3305ea7dd161', '021c404f59608391', '5c0404e0e89d1e26', '3b365f1397699c65', '98b790f0838ed801', '9f87035a427b8952', 'f5850d9e389635d4', '38d35ba6f17e9d95', 'f1f9d16552e2462c', '2f404f627ef3db9e', 'dee6e5d4cc253fac', '6357d52b51177465', '4fa421ffe5875b39', 'cbd8562596bf4ab9', '66711c996dd1e5c9']; context = [[81, 133], [28, 81], [0, 48], [17, 59], [208, 255], [6, 60], [0, 57], [41, 98], [135, 182], [0, 71], [0, 46], [53, 100], [33, 102], [22, 70], [33, 100], [5, 47]]; loss = 0.014902 low_pass_filter = 0.300
+Epoch 0: | | 19179/? [3:21:40<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/active_min_children_step=1.0train step 19180; scene = ['398f622c573c201d', '2e904050b495396f', '695a69f73b976dff', '2773a6e9f10c1695', 'c3ea88797ba49d4a', 'cfb684150c0d3084', '7cec1efa34eebb2b', '6439064a08d02629', 'f5b6c988d6461e03', '4e2f8be5169e74c1', '32684ab5195b9a1f', 'fc6915f078c99c53', 'e7428d7ad0472a80', '6b943f72dbe39502', '0f26d93c48eb3c0b', '10390a2ff18f8f55']; context = [[129, 184], [67, 139], [15, 59], [15, 72], [114, 168], [88, 148], [19, 73], [20, 69], [31, 89], [7, 78], [0, 44], [121, 178], [3, 80], [0, 42], [5, 54], [16, 89]]; loss = 0.017480 low_pass_filter = 0.300
+Epoch 0: | | 19189/? [3:21:47<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 19190; scene = ['2f8415b3fb8ba03c', 'd511b56f19c93289', '187866fb556745c3', '7abe993807d7d5b2', 'b4e7430e9e563515', '5bf004fc53c8d551', '64435b9a6dcc7adb', 'c4c6c83ade0c6354', 'ad6ff450cfff873b', 'a630d771b4ea78fa', 'fcd43815a19e99fc', 'a453224e9d63617a', '7aa3c7e45fc2c4ad', '51ff0df49a7bd068', '659bbf7525e68b69', '28b09b881a8ad7f2']; context = [[16, 68], [9, 66], [8, 79], [190, 249], [65, 136], [108, 186], [2, 73], [60, 126], [9, 60], [199, 251], [21, 70], [131, 175], [37, 113], [4, 68], [0, 56], [0, 43]]; loss = 0.013615 low_pass_filter = 0.300
+Epoch 0: | | 19199/? [3:21:53<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 19200; scene = ['a98e995b177e3c10', '7b73bf5021c9e64f', '41e36a28161a5541', '3b9dd52fedcd808d', '3f0c6b9395e2917e', 'bcb8a096f875ed4a', '0eff03721b825fc5', 'cfcad25f2356c640', 'af4b799f345044ca', '60f2ede8e789abaf', '10ad97617138c17c', 'a7a82f76bbceea2a', '207111788cb523c5', '3f5c91c54d97b80f', 'a86d099ad374ec59', '4c4f6d8995e72f4f']; context = [[48, 96], [214, 266], [47, 89], [0, 61], [213, 267], [74, 147], [1, 44], [104, 168], [21, 74], [38, 117], [21, 89], [54, 100], [35, 101], [3, 77], [4, 82], [22, 90]]; loss = 0.012497 low_pass_filter = 0.300
+Epoch 0: | | 19209/? [3:21:59<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 19210; scene = ['70dfdf6911373a48', 'af9d978c9fca5752', '532b064bf8dc7f31', 'c46e81f142867e29', 'd69c7df5913f4f60', '94fdc5c3dae6de01', 'd86be83d7ba25a00', '379ceee32c6d6868', '74ead515131ddd0b', 'da3a15bb1c3fb690', '3b5fd7bfc6833752', 'dd4b43b1de7fd26d', '9688eb18c8d557ef', '800720e5d4d35cb6', 'fe1a139adb546be2', '4bcc311e9b1e6330']; context = [[0, 66], [88, 166], [192, 255], [25, 75], [16, 77], [37, 107], [110, 154], [20, 91], [71, 124], [4, 55], [1, 57], [15, 91], [40, 104], [24, 82], [41, 121], [13, 89]]; loss = 0.013727 low_pass_filter = 0.300
+Epoch 0: | | 19219/? [3:22:05<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 19220; scene = ['79019d1207c98bf6', 'dd5e91b4024f06e2', '0b9165af0c9f6bdd', '011b2d1dc9c24538', 'd92e516f67eb953f', '74657f6618a55f19', 'df63cd7eb6e92486', 'f2871fcf37ef0afa', 'ff69336d8437715f', '66d5497eaf2a1662', 'eb8485dd9f727c91', 'b764e0949ed2249b', 'c4daa0de6e41c4d9', 'e3d66ec0999d7a5b', '7d3a06eb9af40ff6', 'bf180f2d8a12e153']; context = [[86, 164], [22, 94], [52, 106], [76, 122], [67, 125], [28, 83], [29, 81], [42, 119], [47, 104], [11, 61], [53, 131], [38, 83], [83, 138], [21, 79], [121, 174], [96, 176]]; loss = 0.018715 low_pass_filter = 0.300
+Epoch 0: | | 19229/? [3:22:11<00:00,  1.58it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 19230; scene = ['5fda305d4227ad1c', '95c82e759ee271c4', '21eed0b2652e66d7', '2cd79ad278362a9d', '7b173309e3adba36', 'ac495df935b4e2ed', '207c2bc4b59f6f8f', '0dfd716fde1dd41a', '6260e3927b2ca5c7', 'd997a096b875c805', '179597469d220854', 'f8b5523fcadeddc4', 'e050481aaa33e29c', '8c219866f7654022', '7588d7f435201409', '166c0676a47bb041']; context = [[28, 104], [24, 74], [73, 140], [36, 86], [29, 86], [45, 87], [0, 45], [3, 72], [6, 57], [16, 62], [72, 117], [151, 225], [16, 92], [45, 92], [98, 174], [3, 53]]; loss = 0.013430 low_pass_filter = 0.300
+Epoch 0: | | 19239/? [3:22:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 19240; scene = ['51eb74e78ab352d6', 'bb114dfbdd195941', '9bfd57c27b558d68', '9e16644932a6f7d2', '7b398565427dbb67', 'dce5b5e928e22f18', '8aac6e58ac48fd15', '9bd0682ba6f3ea5f', '5b32aa8371edec0f', '62e480eda89b85f4', '937f8e3d9793a726', 'd3395f68f3233b97', '5354b259bb11a731', '00bbf676b3378549', '12911b4f97d706b0', 'd63314ee9d11a5fe']; context = [[13, 88], [29, 87], [20, 83], [42, 117], [155, 222], [0, 50], [117, 168], [1, 71], [213, 269], [2, 67], [2, 58], [64, 127], [97, 169], [4, 78], [61, 126], [15, 88]]; loss = 0.017423 low_pass_filter = 0.300
+Epoch 0: | | 19249/? [3:22:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 19250; scene = ['6772bbf66ea84c2e', 'b1960a647463572d', '133df6db7dd9dab1', 'a7f4634cdbb5bd73', 'cf26b918eb1d935d', '2572d5318c4a894c', 'c77423c3ad02ee63', 'cb1ab7efea5b0b3c', 'f5b005cd4438e2c6', '885672bd54db44a3', '6f81a4ccaeb687c2', '3308f38305b81cbe', '24e2d1df4ded73d6', '9e9a9b3cc7ec467b', 'd22054ee05ceb5e3', '8b6da003a9b4bacf']; context = [[12, 89], [0, 67], [50, 124], [149, 202], [24, 83], [3, 49], [0, 71], [27, 70], [0, 78], [52, 131], [89, 144], [144, 199], [44, 87], [17, 80], [2, 57], [11, 91]]; loss = 0.014265 low_pass_filter = 0.300
+Epoch 0: | | 19259/? [3:22:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 19260; scene = ['d6fefe45e58fa3d9', 'a806813b8428527f', '37cc00c2e4737bad', '56de1091c01be96c', '209aaf944169c4b6', 'b3f2183a0220f98e', 'f9d09b2e4cbfdfc0', '347d7c1f3516f732', '5aeaeafd68cb9158', 'e84be2b7dbe7e40f', '00da04ac6f31287a', '472298ac40ecf118', 'ee0fbb691be99141', 'a7604fee4718b40f', '6dd69b3cb0c8a491', '845acd6a583ba124']; context = [[155, 199], [43, 85], [23, 77], [5, 47], [30, 79], [104, 169], [66, 115], [73, 119], [45, 109], [50, 120], [40, 112], [117, 162], [6, 58], [8, 71], [5, 62], [10, 70]]; loss = 0.012642 low_pass_filter = 0.300
+Epoch 0: | | 19269/? [3:22:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 19270; scene = ['0ec6f123efb145d8', 'c38d6a55cd1b57e0', 'b13b62c2d8970a8d', '8f9b2fc1d42464eb', '10bbf86e1381ff4e', 'f7ce09fbe4576358', '43bf5c9853912e6d', '3f7f202a7d0b61fd', 'a77791451d3b6b29', '246ea07f84d23963', '03f2504123909705', '37bc704ab2d09963', '49352807c804e770', 'f61787a6705d3600', '682ad474d6d76c69', '5d9068d775dc5831']; context = [[17, 79], [1, 54], [2, 44], [157, 236], [22, 77], [37, 95], [17, 79], [14, 94], [4, 50], [38, 86], [0, 59], [42, 122], [119, 167], [0, 60], [45, 89], [14, 64]]; loss = 0.015298 low_pass_filter = 0.300
+Epoch 0: | | 19279/? [3:22:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 19280; scene = ['c6d37d97938e9faa', 'b49cc4ec7c6b0050', '6d60fc0409f9546f', 'f4fd1fee2a8f69ee', '818fb3aded9bf459', 'ebf748806e739219', 'b398f61acb18025c', 'f5f030f093af6b26', '13fb6dfffa691232', 'b26cc189b1de68ef', '401392cb1a6898f4', '7ceaff866deb1fe6', '24f2a4aa9a450e96', 'eff245c03781d479', '5ee9ae62ea4d6cb6', '2b429b35c3c77565']; context = [[137, 180], [208, 271], [70, 135], [41, 107], [8, 73], [0, 70], [27, 101], [47, 123], [11, 71], [5, 72], [175, 232], [1, 49], [7, 74], [15, 62], [4, 83], [8, 65]]; loss = 0.014364 low_pass_filter = 0.300
+Epoch 0: | | 19289/? [3:22:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 19290; scene = ['4a1b8ea361ee8d3f', 'ec462ba8773011b1', 'e793acd1873474a7', '1940381c5458b023', '396c24c723894660', '1ed59e500c23b35e', 'b170005fbe8a6046', '4d5b2562aee290ed', 'dd1b6b4fa593e364', 'ea5c74bdff7ec9fd', '4d3fa826a3c946fb', '42de59ae1bbfc2ab', '9bc34cb6ae2f87b3', '231013b18753efe0', 'e4a56493fa96d29a', '261a3162e44795ac']; context = [[17, 59], [22, 73], [89, 144], [0, 49], [144, 206], [6, 53], [27, 94], [41, 100], [84, 160], [2, 68], [14, 86], [29, 106], [20, 65], [11, 77], [82, 124], [38, 95]]; loss = 0.013420 low_pass_filter = 0.300
+Epoch 0: | | 19299/? [3:22:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 19300; scene = ['3cb1a39040cc4387', 'a1c57464889b175d', '8484d8b3f428d3e9', 'b92c8e51b4eacf5e', '52570f0685fb7d5f', '82edb5094b794571', '4ee26857e2580a03', '9e1422f690a2b57d', '8ec26e637a4e1810', '80a9a44df1963049', '8b5686560fee468d', 'c081fa859752b467', '9dce90a230b534b1', '34077dc592aea374', '28b82c62d9737dd8', 'a48dae8d129055b8']; context = [[44, 94], [3, 48], [57, 124], [2, 61], [99, 161], [48, 116], [9, 51], [163, 231], [47, 103], [26, 79], [31, 106], [6, 52], [49, 122], [80, 142], [100, 142], [17, 60]]; loss = 0.016003 low_pass_filter = 0.300
+Epoch 0: | | 19309/? [3:23:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 19310; scene = ['33ffb0b94cec7ce7', '20d8f725ca43a225', 'be52d7017ff4e5e7', 'c7dbfa49247a1aec', '6ccc2acf7133aec1', '3b024fb18bd032f7', 'c4bacb055e2540bc', 'dbfc3f7573753601', '3b4451e10b79e555', '22549a33440683ed', '23e1ee10d980084c', '565c69d4e200fa4e', '6c4cc8781a04dd6c', '7214f16379a2cfcb', '267723fe1f811072', 'dccf91e2bca52097']; context = [[8, 76], [45, 90], [0, 65], [6, 64], [14, 93], [30, 80], [97, 139], [48, 116], [121, 164], [59, 103], [21, 77], [52, 96], [0, 54], [3, 47], [23, 66], [11, 78]]; loss = 0.011802 low_pass_filter = 0.300
+Epoch 0: | | 19319/? [3:23:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 19320; scene = ['f9540970fc8a58cd', '0745d537fc1aec73', '3706add84fc44372', '0f5d5b92ce2aca3c', '770814423651553f', '60f8dae5645cd128', '3f6f6c90783da13f', '42e8ce77eb573d3b', '0f714589074ad057', '85d1ef80ae3409dc', 'e512661bf75c3a7c', '658a1b41b954b052', '74ea3fba9bc2f643', 'edd6edfb48780892', '89a157ea50b44d8e', '830ae97d2cd7c39f']; context = [[66, 129], [6, 78], [2, 51], [28, 101], [3, 77], [92, 160], [27, 95], [6, 51], [1, 57], [8, 62], [1, 61], [2, 58], [9, 78], [162, 211], [15, 57], [4, 61]]; loss = 0.015190 low_pass_filter = 0.300
+Epoch 0: | | 19329/? [3:23:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 19330; scene = ['2a9baa599c00613f', 'f6a0556897b15d6b', '510c5beb7e6a13e2', '0a91685401b56e22', '053e55bc3666cc69', '1c30239815f91334', '0e869c9c126906db', '2bb321b9192dab92', 'c17be2c1facd23a8', '9724d02dd7954ece', '8d1a20d3c25fd34a', '02bce6fe4244faaf', 'd325bd35d81548c3', '5431b4af9712cad6', '1d7dc2d489714b09', '5102042496230ec1']; context = [[10, 85], [5, 65], [34, 103], [7, 57], [13, 74], [92, 167], [4, 60], [7, 71], [83, 144], [16, 83], [54, 100], [85, 145], [21, 68], [79, 159], [57, 102], [7, 84]]; loss = 0.013221 low_pass_filter = 0.300
+Epoch 0: | | 19339/? [3:23:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 19340; scene = ['e8b6cfb9b24f3d19', 'e45fc301475ef51b', '18a621d8ed17e827', '1fd1546cd5dae95a', 'bed6b2d982f71178', '142b833ee1def470', '4c053c30f50d0043', '41b70a73e90094bb', '78e9da4acd92b631', 'bbf64bb9d1b3221b', 'f424fb77759f625f', '269ba83961dd94e7', 'd59b9576705aaf29', '2b30bf3c9c26f7f3', '9598262787c89df9', '2ebd96001679704e']; context = [[28, 108], [1, 62], [5, 70], [8, 53], [5, 67], [17, 97], [12, 66], [2, 74], [28, 100], [3, 62], [110, 154], [60, 102], [0, 50], [71, 124], [20, 98], [25, 89]]; loss = 0.016167 low_pass_filter = 0.300
+Epoch 0: | | 19349/? [3:23:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.0train step 19350; scene = ['1bd0890e0abf8718', '773592c80a3cbf02', '4b6dac5ca4c29f5e', '3a63f4b9d1be99b6', '1e81c23a212ee848', 'ba301332e2986b17', '5f036597e4f90cdd', '0f45d62d9cc48346', '8a18643ea91b331c', '4c8ecba879bb3eed', '10fe0d451220407a', '26e1218850abd298', '5f0f26d2f069837f', 'e46419c7826b661c', '73dc27448e4f065a', '2e4d16122bd76f43']; context = [[54, 114], [19, 69], [19, 80], [12, 54], [0, 62], [44, 104], [116, 193], [46, 108], [103, 165], [5, 68], [50, 107], [87, 155], [2, 82], [27, 99], [25, 74], [21, 87]]; loss = 0.012361 low_pass_filter = 0.300
+Epoch 0: | | 19359/? [3:23:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 19360; scene = ['412663a5d396046c', 'fdaef267e08ef3aa', '9a7d3e73531503db', '75683a7321d37b6a', 'd1efd406188a5613', '29e050fdb8e9c055', 'b39aa70a6f60cebf', 'bb9122703d0446ac', '617bd94137b51919', '98c577bfe33e4dbb', 'ef25872785ca3f37', '6ee2bb07a8bd228e', '8ef58a226c35f66d', '91eee96f9be7ebda', '25eeae41506761c9', '8d212dad6fa203e0']; context = [[110, 174], [116, 188], [16, 82], [0, 44], [166, 226], [41, 121], [13, 72], [32, 76], [1, 57], [8, 76], [52, 115], [42, 114], [25, 91], [42, 91], [14, 80], [86, 155]]; loss = 0.016467 low_pass_filter = 0.300
+Epoch 0: | | 19369/? [3:23:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 19370; scene = ['297a127a91742df8', 'e96c06cde258d090', '7355218ce6104077', '6f68ad2a6783fc83', '76c9abf451c53115', 'fddfd395825c1e5e', '3390c56508d9c9ad', '24677a0ecc30d9c9', 'fa393778dbecc71a', 'a24eced88f01ac4c', 'f276b95e48af6e36', '035cedf33abcd3a3', 'c9fb509765237986', '0ae3cc6c498f4b11', '06b212c332f9e714', '0b426b7d9def36f6']; context = [[9, 62], [11, 53], [0, 59], [13, 74], [2, 81], [17, 59], [31, 100], [5, 66], [10, 90], [101, 179], [49, 97], [125, 170], [47, 126], [46, 99], [17, 77], [24, 90]]; loss = 0.014832 low_pass_filter = 0.300
+Epoch 0: | | 19379/? [3:23:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 19380; scene = ['c0ad727566fca461', 'ec839c8f84f9efe4', 'f7c3d08dd52d4a38', '5b6b042c67c8a0e5', 'a56be8f25456bc3b', '17a9e0f6c76399cd', '5fee2a8842119d20', 'daa5fb161dd14216', 'ec566b032c6b292c', 'b4943a169f95cc9d', '83367460bb8f8e08', 'd056616f1161714f', 'fd963440562d481d', 'd7fb7b88fd47f52b', '32afa7b23ab83eea', 'b4c493d08ded5a6a']; context = [[18, 60], [17, 97], [38, 116], [5, 81], [3, 49], [7, 54], [12, 79], [64, 108], [3, 63], [45, 113], [3, 55], [50, 103], [0, 48], [6, 72], [0, 67], [76, 152]]; loss = 0.015728 low_pass_filter = 0.300
+Epoch 0: | | 19389/? [3:23:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 19390; scene = ['6deb86189735ad49', 'caf7c83470c7f539', 'dbe8fb4a958ea306', 'c2893d4152103f88', 'c718b29875d6057c', '46a99cf9d8defcda', '357632990cc0f792', 'b107234cfb895c30', 'a5c5d22eb6353af4', '419ab2ae0cbcc49d', 'd7d21836042ec476', '557c4d3950b294f9', '8ffd3c9918714311', 'f96f815692530916', 'd2daf9db087843b4', '50fe95437cbf8ff2']; context = [[11, 68], [44, 104], [92, 144], [14, 75], [101, 145], [63, 138], [21, 70], [55, 103], [88, 159], [3, 75], [1, 45], [45, 92], [49, 115], [87, 131], [9, 80], [0, 70]]; loss = 0.018765 low_pass_filter = 0.300
+Epoch 0: | | 19399/? [3:23:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 19400; scene = ['c8352778f6f46fd7', 'e8bcc2e3fa0b3809', '89acd0b6b3f8a2d2', '027c1f8fdd9ddf10', 'c3b965a5e39ef192', '48cac3e183debfc5', 'f8902ae83b7ea77c', 'cf543fb043aa47f6', 'd0e19f4dfeb27a7b', '42db3d96c3629828', '38e0db8951f3a541', 'e951fc5b6d016a27', '8082c23975ed106c', 'fa3512cc1d8cc893', '223c174bc6709501', '2d9ee899b8de1751']; context = [[59, 128], [78, 133], [110, 190], [34, 83], [21, 81], [43, 119], [22, 68], [5, 67], [15, 57], [208, 256], [50, 127], [17, 72], [0, 55], [118, 185], [31, 110], [86, 161]]; loss = 0.015810 low_pass_filter = 0.300
+Epoch 0: | | 19409/? [3:24:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 19410; scene = ['3c344bd35b2561ac', '4c731d15a8f01cee', '469a4d888eb40706', '2a55e157020a147b', '4e0caab0121852a8', 'c7ef18c225b393a0', 'cd253086ac20f6fc', '5dc0deace2284912', '4b03a079a46b45a4', 'c27226cd8e195456', 'e76e794a0880ddc9', '460e5799fd3f2446', '078801ae3578e3e4', '76d19f39d78b5460', '39c96ad5667df5f5', '5a04796cace71282']; context = [[60, 138], [39, 89], [0, 74], [29, 72], [1, 55], [15, 90], [110, 169], [43, 92], [1, 77], [17, 76], [7, 54], [0, 51], [49, 123], [67, 109], [9, 78], [0, 73]]; loss = 0.016654 low_pass_filter = 0.300
+Epoch 0: | | 19419/? [3:24:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 19420; scene = ['fb97f55b61aa86aa', '59169909a46a7498', 'b6d96ca117b8b380', 'af219727b1aece30', '7e8beb820f189792', '583ab14553881ee8', '99cc6ca43546208b', '934f1135995ecbd1', '4c6e0eafc2e6c7ff', 'e7cdb81f2a2e7f18', '6f888dc88047ac00', '7d675692ce253ae5', '8421d1b832751b06', 'd1594196fa748b2b', 'bd06c66243805d2f', '729fa587a8a49343']; context = [[45, 116], [97, 142], [36, 115], [16, 64], [11, 88], [5, 85], [2, 77], [37, 112], [36, 110], [55, 108], [28, 81], [14, 88], [23, 68], [98, 157], [23, 65], [5, 75]]; loss = 0.016957 low_pass_filter = 0.300
+Epoch 0: | | 19429/? [3:24:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 19430; scene = ['35e11db0cf40a795', '9cfacf288722db29', '1a2e563e6ba8087c', 'b63cad7b45c0eba4', '7875a6298c422059', '99eef5cf98ab7069', '946d83a6f9a836d1', '0d887d19d7212540', 'bc521d4b43740651', 'd05247944f04d2fc', 'fb24be782eb32285', '2a7e2f0d4cdc616f', '4b4595fc1f5b6c16', 'e21b4e75f77765c5', 'dc7460e98b4f2f1f', '9afe6cdc099af409']; context = [[63, 137], [56, 116], [164, 224], [54, 128], [134, 205], [16, 60], [39, 83], [2, 60], [18, 61], [124, 179], [46, 123], [58, 134], [4, 71], [58, 126], [35, 88], [7, 69]]; loss = 0.012952 low_pass_filter = 0.300
+Epoch 0: | | 19439/? [3:24:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 19440; scene = ['87e825ae30a124de', '5d02873ad626d986', '359705f603b8f42a', 'dec8847e03333be3', '1ae6761f9dcf6728', '580bbe2141b9e6e2', '4a640e2c24d90419', 'b23d97a750c719ee', '188eb86b0baa1531', '775b82d34796713a', '338ce7509f071f4a', '012122018a5c884c', 'aa1fd4353ae6a597', '4b148538b0785a5a', 'b9ec793fd05c5588', '786d33f0a95f1d54']; context = [[178, 229], [2, 73], [27, 83], [7, 78], [17, 77], [8, 56], [7, 67], [33, 75], [62, 135], [123, 165], [18, 84], [9, 61], [130, 204], [31, 109], [23, 98], [5, 78]]; loss = 0.015525 low_pass_filter = 0.300
+Epoch 0: | | 19449/? [3:24:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.0train step 19450; scene = ['93e3445216c30ff7', 'ee214fdfc5d1f79d', '9ae8316d620af63c', 'a7dbdfa85fff5750', '68e44802abfd01de', 'e227966853a68fc4', 'cb64e32f2ac5c4ee', 'fea44120298bded7', 'a84949b9712997ea', '6d3fdb7bb6cd8b49', 'ec69b3992e315a79', 'f0931f3bf5488f01', 'b0c722d38ac56892', '29d8c5e822fad0e6', '8204d757ce43dda8', '87441de91f9dedee']; context = [[37, 100], [0, 54], [18, 99], [22, 82], [3, 46], [35, 78], [14, 83], [26, 69], [29, 79], [4, 50], [189, 258], [0, 45], [118, 168], [107, 172], [57, 121], [11, 88]]; loss = 0.016120 low_pass_filter = 0.300
+Epoch 0: | | 19459/? [3:24:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 19460; scene = ['7c6a494b1ac2ada2', '581f6718081552b8', 'a0944ee913e7b7a5', 'fa666242b325a3aa', '809fd0a15d5fc027', '4747dd13c4f84996', '005ee91e6c694114', '07dda1bf6f120ed9', '542a67b1e982396e', 'c197acc6fde0dfcf', '903811649da7395a', 'a5be41b89080d8f1', '97b3f4269263d4ac', 'edb1bfd370d7c89d', 'df06aa23127e2ee6', 'dad6bfb8b50afd08']; context = [[3, 64], [34, 100], [3, 57], [82, 128], [2, 46], [3, 69], [39, 93], [115, 166], [4, 73], [6, 50], [35, 80], [18, 99], [0, 63], [18, 90], [12, 54], [138, 213]]; loss = 0.014516 low_pass_filter = 0.300
+Epoch 0: | | 19469/? [3:24:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 19470; scene = ['24e1642761ed2ebb', '27acee38db3d2440', '61e85330db0ed8a9', '7d9622491e2e478d', '75b28cb51ce70d61', '64f3dc85ebeab210', 'a4a8740a20b9b520', '9f7f2606c72b341c', '26d24a4ffa345a72', 'ec2477f0b97a9a14', '29083f8a2740b8a4', '150198f7793edc35', 'd1f0ebd0c998bc9b', '547338d589ed1725', '40b370bec84fd8cb', 'c122c6a6293b925a']; context = [[16, 63], [12, 58], [8, 50], [46, 124], [108, 187], [10, 58], [57, 113], [12, 68], [54, 111], [2, 61], [18, 65], [136, 197], [18, 93], [3, 60], [2, 76], [0, 42]]; loss = 0.015239 low_pass_filter = 0.300
+Epoch 0: | | 19479/? [3:24:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 19480; scene = ['ccf427298e1906c6', '6a3f09ac3efff60f', '651a9f768e528c0c', '8df6a8f9f01e468c', '8b9ec683f13ccd82', '80577c02d0925e08', '15cdc58fd7076c73', 'b9f601fa5ccc54e6', '1e4b301e3edb5c73', 'd810f4eac26218ac', 'c2e1aa29a49f46f3', '7d3fb0628f79dee9', 'a3a84241947a8112', 'c001dd0eab98cdd4', '5b8cd8a41af81cec', '548aeb7702c14a34']; context = [[143, 211], [20, 67], [38, 113], [20, 98], [11, 60], [13, 55], [24, 69], [10, 87], [78, 148], [7, 71], [41, 113], [79, 129], [101, 176], [13, 57], [60, 112], [2, 56]]; loss = 0.014445 low_pass_filter = 0.300
+Epoch 0: | | 19489/? [3:24:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 19490; scene = ['19ab113385187a33', '0ee1992781f90c07', 'fd89bf7100bbab61', '94c9aa266f266590', 'c371d1ab17ce1fc6', '6b6f032d1c33702f', 'ecd5e56d2d3038e7', '87e321f35c84dbdc', '73578fbad99d7332', '905b1855f110a802', 'b860b021bed5a650', '6947c411c6295d8e', '5ab26790899c76d3', 'a546829f49e50f99', '05f8fbd811f71150', '0e11b0852a47d75b']; context = [[6, 57], [2, 68], [32, 97], [1, 50], [12, 75], [96, 176], [20, 67], [0, 42], [25, 74], [33, 110], [123, 181], [128, 176], [95, 149], [12, 65], [23, 83], [54, 96]]; loss = 0.013544 low_pass_filter = 0.300
+Epoch 0: | | 19499/? [3:25:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 19500; scene = ['153bce3dee55a133', 'ab010f133e061593', 'c643352d8ccc08d5', '15c9a1e812246b15', '13afba22192e2919', 'ee605ae319bbb3e7', 'e07365117a8b4c36', '6c63e747c6ccac2e', 'c133fe1ba03631b8', '7e0ba88ac756aef4', 'bbaf5b402a83a14b', '35e7e6ab55881149', 'a08583bd9e090720', 'dacc1144c1e47867', 'c2002e76b40a7e70', '2f096884c1defd1b']; context = [[3, 55], [89, 164], [71, 115], [0, 80], [59, 110], [13, 66], [38, 96], [37, 85], [30, 100], [1, 69], [69, 150], [12, 68], [17, 64], [148, 225], [84, 130], [28, 85]]; loss = 0.015300 low_pass_filter = 0.300
+Epoch 0: | | 19509/? [3:25:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 19510; scene = ['88053bdd5c1a3bd2', '8261ec63c9b1a9f3', '3588695d454bc073', '2960c611e6a475ef', '512e733e9b6750b6', 'b14218425de581a3', '2a9f5b82c71bcf84', 'c332b84a0367cb40', 'ec9c832395ebafd3', 'f2e7f83f1cafcb88', '3d3305ac219ed2b0', 'f5f7f251029d37ca', '2083f380503b5df2', '43393dd5dd1f953b', '7393440fa9d09ce5', '1fb84b400b0eeffe']; context = [[38, 95], [20, 72], [1, 75], [29, 105], [158, 201], [1, 56], [20, 88], [19, 90], [1, 62], [5, 76], [36, 96], [16, 64], [84, 139], [0, 43], [15, 60], [3, 48]]; loss = 0.013711 low_pass_filter = 0.300
+Epoch 0: | | 19519/? [3:25:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 19520; scene = ['d78265aa74f397b4', '3e97cc3224b13bea', '900fb150478ba61f', '49d32ba85482c428', '5bd4d1f674a0278f', 'f1b1943a6c6b8dd9', '8684be9912ea7ad3', '0157ff9c22f6e881', '39d2744f8019224d', '015f881ba370e08c', '2fc85d06b56147e3', '52011acd2c8e59fb', '4243a877833f3e39', '64f550f6cab4364e', 'd33fa56a469d964a', 'ffca6daf0a0a6483']; context = [[95, 155], [15, 92], [190, 234], [0, 58], [16, 74], [18, 66], [5, 54], [10, 68], [11, 80], [0, 81], [4, 76], [1, 60], [118, 198], [28, 70], [39, 117], [42, 110]]; loss = 0.012552 low_pass_filter = 0.300
+Epoch 0: | | 19529/? [3:25:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 19530; scene = ['709108b3b7921a59', '17e3d4b53cae3c08', '1108c0c550ac209a', 'd1c0d7a48baa147e', '11ede909d25ca333', 'aefe7fe6eefd9ce9', 'ed8c7a2f116410b0', 'e8e48c278d3f4624', '1aea90446759f7d8', 'e04842c075de81a7', '79446141205e4f97', '012d97c9aa0ae783', '138897ef44f4eafc', '78e816776b064fc4', 'f65e996baf4b1ec9', '9b3fb4f4d069bd9d']; context = [[137, 179], [95, 144], [76, 142], [86, 159], [65, 113], [129, 186], [45, 94], [65, 120], [134, 197], [11, 88], [38, 87], [57, 101], [54, 116], [12, 55], [40, 98], [30, 106]]; loss = 0.012629 low_pass_filter = 0.300
+Epoch 0: | | 19539/? [3:25:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 19540; scene = ['552fe4256228068d', '3285acf4e36fa9cc', '3a2c878e7c867c5c', '58ffd94cf821ae33', 'c32c8f745ff1a5f7', '9dab2a56872eb772', 'f89073796a1eb7d4', '79d5ea6cd3f0fdb2', '63f3399469a802f7', '5a3fefc76ff4ee09', 'e4d608a4098c9b88', '6e7a6ed3e8593e75', '2cff2a771002750a', '27c3adffe8ccc489', '7f075e6ffa6c31c4', 'f0f815ffa7581003']; context = [[43, 93], [8, 74], [135, 181], [10, 76], [76, 122], [0, 66], [2, 48], [8, 71], [4, 79], [34, 90], [49, 91], [5, 64], [20, 85], [113, 170], [51, 97], [22, 66]]; loss = 0.012166 low_pass_filter = 0.300
+Epoch 0: | | 19549/? [3:25:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 19550; scene = ['9104b840dc8f8fb5', '98e6b98fd8f06caa', '9e05992f56f535dc', '29d6a3513da47b2a', '8b59ce9d21cdabc5', 'e16c99ca127ef413', '08a91909d31380b3', '8edf724cd98c75c0', 'af402f8ce169e00c', '6b254e07da547826', '2392a428453da5e7', '1a3e5a1b44f8ff30', '04d616768a5d52af', '2366e6b691388a82', '9c7ec96e0cbf40c6', '779e17aa920f1870']; context = [[1, 47], [64, 112], [29, 96], [86, 132], [3, 70], [94, 141], [2, 68], [44, 93], [13, 58], [0, 59], [84, 152], [107, 188], [18, 76], [68, 137], [155, 229], [87, 160]]; loss = 0.012777 low_pass_filter = 0.300
+Epoch 0: | | 19559/? [3:25:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 19560; scene = ['e6a11c57b6a665ca', 'c002e62e4fadef21', '357bf45f08163f58', '8f6d593dde943920', 'cf25e28fc66b11bf', 'db07a535a8c0aa7c', 'c09788a6db7d9cd7', '70cbc47e6c79c801', '2ac3bf31ddefb768', 'c0eec9dd4022d2be', 'c35f0dfaf6507d58', 'ccc0b3afc5deb0c1', '2ece3814cb272056', 'ce3829b629e8a38f', '69e94c1fd190cc2f', '15872714425b381c']; context = [[8, 56], [23, 103], [14, 95], [169, 231], [25, 90], [36, 110], [147, 209], [0, 46], [84, 148], [5, 66], [5, 68], [0, 62], [4, 47], [18, 77], [8, 50], [54, 129]]; loss = 0.014718 low_pass_filter = 0.300
+Epoch 0: | | 19569/? [3:25:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 19570; scene = ['100c4c3fa1794647', 'dfe78eb63cd652e9', '1c124b91c6ee92a5', '4c13c320c47ef017', '4ca6ed1cf7349efd', 'e2128a609ff89c4b', '3c76267fb0f773af', '338431a868d07b01', 'eb4b27d12622a222', '9069736f3a949982', '2cf0d1a531e44b1b', '7ccd94570c98325c', 'cbf194450f89fa83', 'feb6e94b05604c83', '36dbde23c0348a09', 'd48ae6a3fe44480b']; context = [[29, 107], [190, 271], [4, 63], [21, 69], [145, 202], [1, 79], [112, 167], [21, 72], [1, 43], [8, 61], [11, 53], [73, 154], [74, 118], [26, 79], [12, 66], [36, 114]]; loss = 0.014592 low_pass_filter = 0.300
+Epoch 0: | | 19579/? [3:25:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 19580; scene = ['f0ad94005844908b', '0d3a88f1ab3f5717', '7ae9ce6aa1211914', 'f4291ee0521ae553', '6679553589e68811', '0c8d8a68736d158b', '3cb7ac024efd7331', '1e20db1eaa6d89a1', '8c7af7ed1c34fe85', 'd8a8dc110167ff23', '5a2953008c747c2c', '9b5b0457cd0a1fde', '417623781d50d924', 'dc541d55464d4055', 'b4f733d9be7b7182', 'f91dc7935b01ebc0']; context = [[65, 138], [59, 134], [1, 80], [16, 73], [2, 72], [24, 73], [126, 168], [2, 75], [4, 51], [49, 102], [25, 71], [21, 88], [0, 45], [16, 62], [1, 59], [77, 132]]; loss = 0.013091 low_pass_filter = 0.300
+Epoch 0: | | 19589/? [3:25:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 19590; scene = ['6da665e33ba8f8f3', '048399f853c70205', '5ccd0bec67ebf47e', '2df6feccfbd367e2', '249ad28e5fa1245a', '2c8a9cb9bcf62f94', 'ce43a28a6303c289', '0cea191b82436aa4', '53915af2bbaaa077', 'bf1fded616c21a64', '83dee72aa5e820ce', 'ab52e9612e7a4eab', 'bcf299393ee2171b', '035cd2c68a13badb', 'de665a63685bdac5', '0777febffe7c2d96']; context = [[2, 72], [79, 148], [24, 87], [0, 79], [0, 42], [38, 81], [8, 73], [4, 84], [103, 157], [116, 170], [93, 139], [72, 150], [221, 263], [13, 63], [51, 123], [52, 130]]; loss = 0.015805 low_pass_filter = 0.300
+Epoch 0: | | 19599/? [3:26:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 19600; scene = ['f9ee709c7030fa87', 'e41eff9093ca7ba2', 'db7acf41e2eae053', 'cd7355ffcbc5a2f5', '3624134e157585a8', '3e6ad322429b2653', 'acca2e0a5d9ab19f', '1f4d538755177e00', '9b725ca4c733554a', 'f591700701a47d5f', '90154d62e0ff4873', '45cafc07dfd1b496', 'fe3c04bb10b12d55', '8a5f209051718c6a', 'b23f88ded1485280', '80ba40b2def2070b']; context = [[12, 58], [1, 81], [35, 111], [3, 51], [80, 123], [0, 60], [0, 46], [0, 64], [176, 248], [138, 190], [5, 49], [35, 104], [22, 78], [10, 84], [49, 91], [2, 76]]; loss = 0.016504 low_pass_filter = 0.300
+Epoch 0: | | 19609/? [3:26:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 19610; scene = ['7bf6bf856323ad9e', '04af3750947a687f', '31e3f047172167fd', '76bcd8986a0959e6', '37fe154df8213085', '2f29762096764539', '5228a1b35d098521', '7901336745bf9579', '276fe2a344c8c50e', '8ac9a36a33bf4aac', '6e68846b51a9b9a0', 'e2ae51feed803f16', '439d54052f961970', 'f50a0d6022e7e2e5', '35f8034910257080', '99443fb21068d0b0']; context = [[1, 53], [110, 179], [51, 121], [20, 64], [16, 67], [11, 70], [71, 113], [4, 83], [142, 190], [124, 180], [11, 60], [44, 101], [34, 103], [5, 53], [110, 170], [6, 79]]; loss = 0.013308 low_pass_filter = 0.300
+Epoch 0: | | 19619/? [3:26:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 19620; scene = ['b98dd6d8995428d5', 'bec5fda37134a938', '1e088f1e02f4fc27', 'c56a58f09e4b6e88', '1c8f0e2c77d0d6ed', 'abc5e19774a3490b', 'a8ece41ea92c4340', '28cd601677611f69', 'b02fd64c2f3f25b0', 'ec9b4508894b5084', 'cc0e0ef9fb905d7c', 'fe0501936e490d21', '8e9c736001d5e2f8', 'a84a41dd313166dd', '22575c7e72324c30', 'c6b59c06634125d4']; context = [[20, 71], [6, 72], [32, 87], [0, 58], [80, 149], [26, 89], [216, 264], [123, 177], [10, 70], [17, 76], [63, 126], [53, 119], [73, 151], [68, 130], [1, 61], [1, 60]]; loss = 0.013560 low_pass_filter = 0.300
+Epoch 0: | | 19629/? [3:26:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 19630; scene = ['3fcfb6d1350e63c6', '55e30611eafb941e', 'bef7b0cb32548bdf', '3b924e9580e90bde', '41c046858fdb6aad', '61f0ea32761a8270', '31056e2cf25c5b94', '1da5e61eb7a97471', 'a1f8c279eaca219f', '1db26a7342ed639e', '926a321c84a8d936', 'bb95992ebf558470', 'd4328b7d05b1551e', 'a42c49fb21e8ca6c', 'd5efab3b2e97e245', '35ad8c5fb608fe71']; context = [[8, 62], [62, 117], [2, 78], [198, 246], [8, 70], [4, 67], [43, 90], [54, 118], [21, 63], [60, 140], [63, 118], [27, 83], [4, 64], [31, 94], [60, 107], [23, 96]]; loss = 0.012911 low_pass_filter = 0.300
+Epoch 0: | | 19639/? [3:26:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 19640; scene = ['268516a683b177a5', 'f73c9e294e458e79', '638a7bac2753aa39', '329c5e4fec7752fb', 'd32c485ee5e46e29', '02f2bced7693a878', '20a314fca8085294', '416c57e30e349333', 'd23158e41df25c32', 'e338ac884c0b91fc', '783203568a993b99', 'd3b901b44e7ddb4e', '50f889dd14dfe91a', '78c8c5136e4c953e', '679f702bf4343e29', 'ca87754159d3beaa']; context = [[3, 54], [16, 85], [93, 138], [76, 129], [50, 116], [29, 84], [14, 69], [63, 136], [4, 64], [2, 57], [12, 59], [0, 62], [73, 154], [13, 70], [3, 48], [0, 47]]; loss = 0.015128 low_pass_filter = 0.300
+Epoch 0: | | 19649/? [3:26:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 19650; scene = ['af22175268b0ce2f', '121c1244b78f5ae9', '064ba7c987abafd2', 'f02c031979b429f4', '8e1ceae5a39fc47c', 'fa4cf258c22e3ea5', '0a371400a6eda9d6', '8e30d1edd7e8519f', '24afdaf557163887', 'aae61e6589b8e3e5', 'a61bf175ff0c558c', 'bc787d93d069b4e8', '0784b8d4f7f9bfa3', '584ec590c61d0ff4', '43f2fea0a0027461', '8fed2c4e70775877']; context = [[14, 59], [22, 81], [109, 155], [16, 72], [11, 67], [16, 61], [62, 141], [49, 123], [10, 73], [151, 224], [95, 146], [19, 69], [131, 192], [37, 85], [30, 111], [10, 61]]; loss = 0.013911 low_pass_filter = 0.300
+Epoch 0: | | 19659/? [3:26:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 19660; scene = ['17087361201e57aa', '49e7e9cb5d2d82e9', 'ac205c8547a2a317', '1f6a034a8566831c', '1ced80cbf1496d81', '3a045112f60a54ed', '9df974b10d93887c', '234fd65bd1f99a1a', '6823bc058c79a7bb', 'b2fdc2586aaa499f', '05a1a74b1d9019e7', '47357deda670dbbe', '7f5d7db67c85db6e', '842f3619d4a71d3e', 'a6a06865b37ce3f9', '2f4a0140e4762400']; context = [[33, 79], [34, 84], [146, 226], [27, 108], [49, 95], [3, 56], [8, 68], [3, 65], [87, 157], [2, 59], [6, 81], [25, 81], [78, 147], [20, 100], [19, 66], [34, 93]]; loss = 0.014900 low_pass_filter = 0.300
+Epoch 0: | | 19669/? [3:26:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 19670; scene = ['6bde4da4cdc53d65', '439c55db530b8bf0', '417db333638be420', '8d2c92c5aff6074b', 'a5dbef04d6fa313e', '68c8db171dab75ea', '8ec047d3e6c67047', '149ad45c2b6dda1a', '83ac781e4066fdac', '371a69a4c08f16c9', 'ade406ba3ca1aa87', 'ebd1c21fe893ac74', '83a2d84657f60fec', '765c6be0dc971f03', '15ffb0691e389dec', 'f20f2c66b7cfb222']; context = [[13, 58], [2, 77], [3, 79], [64, 109], [35, 107], [126, 195], [1, 47], [12, 83], [17, 65], [117, 173], [0, 66], [3, 46], [8, 54], [94, 159], [2, 65], [49, 91]]; loss = 0.017518 low_pass_filter = 0.300
+Epoch 0: | | 19679/? [3:26:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 19680; scene = ['3bb404adfcc380b0', '66a04a4a5584e611', '03d4ce90615f67c8', 'c798126c9e920dcc', 'fcf74e68c2678dda', '7263addf40e8648d', '17e071f027c54b55', 'c3bc207f4af7ad46', 'd261d26a10a93975', 'aaff3ba252aa4421', '1b2bfb2e03827c26', '155655aa88f2adf8', '0a94493d6f4cd4be', '745686abe5c2f2da', 'e793aa73b39e0b97', 'aed762fe049b1f86']; context = [[65, 123], [76, 157], [71, 149], [10, 77], [88, 154], [3, 52], [40, 108], [32, 75], [15, 74], [22, 82], [39, 120], [67, 139], [40, 104], [2, 78], [141, 198], [23, 104]]; loss = 0.019599 low_pass_filter = 0.300
+Epoch 0: | | 19689/? [3:26:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 19690; scene = ['dc987c9d1fdd26dc', '55395ce6b8cbbe3f', '1d2c9ffecd057d36', 'c5588bc0268e5c81', '623703e844f4187a', 'ee1dd370404cf055', '312cd12b9be29819', '09987dcb90444a8f', 'ed9391a68fe3d44e', '2c6974c8d0fd6426', '09895c510108d81f', 'e6028373d0388cea', '16a3dad8315912bb', '05aab341d9f7cd51', '3afecd065021c4c0', '00419dfa0b973e11']; context = [[35, 82], [56, 110], [12, 73], [181, 224], [4, 70], [81, 157], [16, 58], [40, 85], [16, 85], [6, 51], [11, 65], [60, 114], [0, 42], [8, 53], [4, 60], [16, 65]]; loss = 0.014427 low_pass_filter = 0.300
+Epoch 0: | | 19699/? [3:27:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 19700; scene = ['067ade459f19a3c7', 'cfb2760966fe13fa', 'f893871b27cd3338', 'f478d886410b020d', '4bf9810f69710809', '1e07b908a2be9402', '6821d555fb2fa55f', '508d03e39ed28686', 'cb2bf72fb1b90d8c', 'e11dd59f0958473f', 'b1d713a2958063db', '1b749d9b60927a96', '9754cd798e248dad', 'c24d2ef26ab0a260', 'a37fb46545b26cd2', '3408234022293761']; context = [[17, 79], [131, 185], [38, 104], [1, 73], [2, 44], [147, 207], [36, 111], [0, 66], [37, 108], [9, 54], [7, 64], [8, 69], [177, 253], [49, 93], [25, 70], [24, 77]]; loss = 0.010300 low_pass_filter = 0.300
+Epoch 0: | | 19709/? [3:27:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 19710; scene = ['6d5352b025de55fb', '12443a11c95102c3', '2fa6fe5f1c41fda1', '064ecca9bd5ae208', '28aee5144ab8a326', '13f24d3678655059', '48bc056aaa0081bc', 'dc7a97c282e2e199', 'f86e2ffe522ef03e', 'b9d775a543d2f100', '30bce8b8eff608f4', '081b7272025559cb', '62ff29eea4392196', '15d9ab10d9e2c6b9', 'b546b62956ba47a8', '231526021294c8a3']; context = [[98, 140], [2, 45], [46, 112], [41, 102], [93, 142], [0, 42], [6, 50], [61, 121], [58, 104], [8, 57], [13, 70], [86, 140], [11, 64], [12, 93], [22, 83], [145, 199]]; loss = 0.012020 low_pass_filter = 0.300
+Epoch 0: | | 19719/? [3:27:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 19720; scene = ['5cc6cd5366cbbe2b', '889067f102772c85', 'ff3e826fadb9ecb1', 'b5bf6ea6e92669ef', 'eb3c751ec932aa1d', 'acb431ff8ce66742', '752d39fb1c32fa3e', 'c6b155bb51d29d9f', '777444de006226ce', 'ce83dcd7dcf2824a', 'd83baada13bf5140', 'c926a919e6a16e3c', 'eb490ca6a428e0e6', 'f46f73c6b994a630', 'f02ece766e3ac5b7', 'b2ad1dbda5c04fae']; context = [[55, 132], [207, 251], [0, 70], [21, 99], [0, 42], [34, 78], [2, 50], [5, 62], [58, 117], [32, 90], [1, 60], [75, 118], [9, 66], [18, 65], [17, 81], [53, 97]]; loss = 0.015393 low_pass_filter = 0.300
+Epoch 0: | | 19729/? [3:27:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 19730; scene = ['8b634dd80fe44d1d', '31177e3090079870', '2e3fba29b0ef9eb8', '8dcb65a86df04796', '13e3f8416df0e4a5', '5cfa9a2995f6c3e5', '4ca19f3a5dea6391', 'f7fc315b2c2ab371', '9e16686cff67cab1', '90c5b3052fd20e29', 'ee18efbe4a7eb53b', '5f2e62b6917bab16', '9261780ce2ed716b', '1a09290ef2933466', 'b348801a033b5ef5', '1c0829e90380c26f']; context = [[92, 135], [50, 129], [14, 60], [14, 64], [71, 150], [126, 186], [8, 77], [80, 123], [12, 86], [66, 142], [89, 147], [11, 87], [13, 88], [14, 94], [27, 104], [8, 83]]; loss = 0.013787 low_pass_filter = 0.300
+Epoch 0: | | 19739/? [3:27:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 19740; scene = ['dc7d62daf87c89ca', 'c0a516fa39b5fbdb', '595a9a54aa1e8144', '5297f0f520840c52', '89b163a0f97137b3', 'f7e9d24f6e5b3d92', '3db6dc0ce5ed7647', 'c37bc40678c01b52', '912815f4f5f907de', '3c5398d3fbb5bf31', '2dc9932d1b0a0a7f', 'fae7161bcb2e590d', '8e337798f212fb43', 'afeaac19bebc10c7', 'ede416a85b49ecf3', 'f43f6c3aa827661d']; context = [[2, 56], [71, 114], [49, 130], [11, 76], [9, 63], [38, 107], [0, 48], [48, 129], [214, 258], [2, 66], [1, 55], [2, 69], [43, 99], [88, 167], [24, 87], [61, 132]]; loss = 0.017618 low_pass_filter = 0.300
+Epoch 0: | | 19749/? [3:27:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 19750; scene = ['f769e724a6aa1acf', 'c37935df091373a4', '18282a9be6d78769', 'bcb74250aa1495b2', 'fde6f128e55f5bac', '91f5b5db4a1cf28d', 'e9cfe450f0115ed2', '12a77ae2a659adda', 'fd19e81423738735', '807a8ed2278aceea', 'c0e445194231c60a', '5302190e283157d2', 'eecadb9a970dc48b', '3b0f1085de3b498b', '6b0d837f8a76bdfa', '9acb1d0084b09bbb']; context = [[3, 58], [98, 164], [0, 49], [37, 86], [13, 65], [15, 86], [23, 81], [13, 84], [8, 50], [7, 49], [73, 140], [20, 81], [20, 64], [19, 62], [37, 94], [18, 76]]; loss = 0.014480 low_pass_filter = 0.300
+Epoch 0: | | 19759/? [3:27:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 19760; scene = ['a72b23f5569c95bc', '3dfdf65958a3a147', 'b7cc2057e5de1cec', 'd4c1527f35f9d02e', '8ae77ba2c7995dae', '0d07d28865590571', '9bd288cf20312774', 'e7d421b2fea9ec9f', '1d8a0b3602dd7248', '346781ac920e73f3', '8f7fccb6c673939a', '80b1821ff73c7ae3', 'a1b6b2fba25cb6fb', '25af776a8c26fc5d', '0cc5b30249c3c951', '99ed4006744a905e']; context = [[49, 124], [92, 141], [10, 64], [56, 99], [65, 123], [16, 60], [23, 84], [26, 69], [89, 157], [37, 112], [18, 91], [10, 85], [0, 67], [5, 57], [57, 134], [0, 54]]; loss = 0.016207 low_pass_filter = 0.300
+Epoch 0: | | 19769/? [3:27:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 19770; scene = ['aa3520c25c879a9f', '700d4f6b814c5dd7', '3195acecb19b0955', '7eb1c8969766243e', '770ffcd0c79519aa', '9530c8a093a39160', '7e731568d0288a55', '085ff8ed78f58252', 'abd353eabd0dea01', '181442f5a6f77345', 'e6510eaf44b146c7', '91090a2c831fba06', '26b7958a9c2bfd74', 'b33892623289ddd4', '2d11bcce7b32f482', '63357adc1ef112b2']; context = [[56, 98], [16, 61], [73, 143], [45, 114], [58, 118], [0, 55], [75, 153], [130, 199], [30, 99], [60, 104], [18, 69], [90, 165], [0, 75], [16, 88], [31, 93], [18, 71]]; loss = 0.014993 low_pass_filter = 0.300
+Epoch 0: | | 19779/? [3:27:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 19780; scene = ['97e5639e5511c8bd', '7654d6829f0a0a97', 'd6344c065176bd92', 'cfdb58b8de56baf5', '055056efaf74b2e7', '97dd9db901df1c48', 'b8387972602730b1', 'cb0a6da1e15cff56', 'c676884964f4bada', '9a35314e58d81ed6', 'c75a367b86e8c891', '232761a3c36250db', '6fb75705002e9a71', '27c99921bfbdd087', '76d49efbac8550f2', '2c473fa113c38037']; context = [[166, 228], [17, 63], [0, 64], [8, 52], [91, 155], [9, 54], [18, 96], [1, 77], [125, 207], [31, 82], [16, 63], [11, 61], [20, 87], [122, 177], [36, 94], [10, 71]]; loss = 0.013011 low_pass_filter = 0.300
+Epoch 0: | | 19789/? [3:28:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 19790; scene = ['bb0e91571e079e65', 'f3d31f34aec130c8', '0404b811068d9c22', 'a4af5e3b9ffa8726', 'a3f6bfbd36edd888', '73d02b88114f918a', '6050c60643284a5c', '9d80c1f7f8a6c541', '25ea1a4f7e159278', '1c4245944a44dcb5', 'ba6b9051d2f9ac9a', '67d9a8ec0e4060db', 'd0920dbaced16c29', 'cf6bc43fbf8c8dd2', '16166f53500a5dc3', 'cc62a8c047cea639']; context = [[0, 44], [4, 53], [108, 172], [5, 54], [53, 120], [113, 182], [35, 114], [3, 57], [39, 89], [77, 125], [2, 69], [24, 95], [4, 59], [8, 88], [1, 62], [60, 107]]; loss = 0.013194 low_pass_filter = 0.300
+Epoch 0: | | 19799/? [3:28:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 19800; scene = ['46098a3607b75cd0', 'ca62e7774f3d688b', '56f34e5d22caa2dd', 'db52871fc7ca0bfd', 'cc08397f41911501', '98d35dadb621cdd3', '80e6fa6ebabd2b5b', 'c56ba8717d50a07f', 'f8bc5a1bf0e97746', '5ada0c55bc109cbd', '8f8259fa3b72216e', '6910b34e5b91b5f9', 'a2221580995f8722', '93dcdc36ab76b422', '964d50806b5af188', 'c3e90284d1bbba94']; context = [[63, 117], [109, 156], [91, 171], [128, 201], [4, 65], [12, 68], [107, 180], [111, 189], [49, 97], [0, 42], [36, 110], [4, 48], [4, 85], [32, 93], [16, 73], [83, 159]]; loss = 0.015116 low_pass_filter = 0.300
+Epoch 0: | | 19809/? [3:28:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 19810; scene = ['dde08cbd97dc236f', 'c792e7bbaa1e7edd', 'f7f53a9d54d4098f', 'c6b4ee182a0c8f70', '0270b9d12ac462c1', '75f6fe4171accc57', '1d8a56c08e3276cf', '9c6c8ca5534bc61d', '8d6225fc06663819', 'aa1ae4fd4978f24d', '8f975d339173531f', '44a1b98a02b5ac08', '0048fce686bb184d', '08987ea1371974b0', '53754ca100a3c2a1', '53a047ae113b5b3f']; context = [[47, 113], [177, 235], [13, 58], [19, 96], [6, 63], [106, 181], [7, 71], [70, 122], [20, 87], [93, 153], [5, 69], [69, 128], [21, 96], [24, 73], [25, 86], [154, 225]]; loss = 0.016786 low_pass_filter = 0.300
+Epoch 0: | | 19819/? [3:28:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 19820; scene = ['e396c06362a9960a', 'c004cae33c43f3c4', 'e4e3c9b05269ee77', '373f36d9a38e0ffb', '62a41152e0103736', '934abcda4ab6700a', 'cfdced6ed0dc318d', '054936f3b9535400', '0e61cbca4ffb2d66', '5e7cc1952a622fc7', '30ce8420831f89d7', 'e686e219362ed1d1', 'a622744a3a2d2b04', '2fe474f8e633fcae', '9a11535036e869fa', '5dae4aa06fa6e450']; context = [[20, 89], [4, 85], [94, 146], [3, 45], [39, 113], [19, 86], [150, 218], [13, 67], [6, 74], [11, 68], [7, 52], [2, 68], [28, 90], [17, 88], [159, 229], [43, 116]]; loss = 0.016991 low_pass_filter = 0.300
+Epoch 0: | | 19829/? [3:28:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 19830; scene = ['ad39efaa855a34bb', '52530a8fe72a85df', 'e6e618b39c52caed', '0510e6f8eba380f4', 'f033b85ca30d272d', '27cccdcbcc2a484e', '813a6c5e1123e81b', '583428a8466e2418', 'aea6e8f6cbbabe3a', '07d1e657a9632324', '3854ae7e48f9f528', '433737b2b7f09bd2', 'cc19896ecea55d01', 'b29d9ccc5a360755', '57fc42ea40ac2adb', '249ee6d00a7493be']; context = [[16, 68], [24, 95], [1, 51], [20, 96], [9, 61], [5, 70], [41, 99], [18, 72], [29, 103], [17, 92], [12, 71], [69, 150], [4, 82], [176, 254], [13, 64], [0, 43]]; loss = 0.017366 low_pass_filter = 0.300
+Epoch 0: | | 19839/? [3:28:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 19840; scene = ['81fdb6485f4345db', 'd2afa9c01d42331f', 'e5e77f88754ae7b4', '52b4652e2c1778c2', '23756f92b789d481', '321d6e40426156e8', '8d03c5755eac8d9e', '2be7c8ba75108987', 'a1f00395d4d7daf8', '98cadab7c0852613', '34e738307efc6fdc', '1f2ce1390992e45c', 'a7ac7a0a1910d905', 'a257959004827f7a', 'f44118c08955a9aa', 'd0c90c4cf31d5e1b']; context = [[71, 134], [5, 64], [3, 47], [20, 96], [2, 72], [113, 194], [53, 128], [29, 84], [39, 90], [0, 44], [61, 137], [4, 51], [69, 130], [27, 94], [0, 73], [101, 170]]; loss = 0.015824 low_pass_filter = 0.300
+Epoch 0: | | 19849/? [3:28:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 19850; scene = ['03b0897d5a356df4', '40b0463a7bfb48a1', '910b07b65591d870', '8bc4be24233cbdf9', '0e5ff441f61f8ea9', '7577c75286a36d1d', '1386456b149f9ba5', 'b236f5fe556015b7', 'bce0d3092c742885', 'c5ad02d4208d2cc7', 'c4714300deff14a4', 'f61f928ea81ba540', 'd4c1ca9db3ae248d', '3aa4c2c3e20b7f5f', '1bdc3545839f87fd', 'a817b56dacef46b7']; context = [[0, 58], [129, 183], [12, 85], [76, 119], [1, 58], [14, 90], [17, 83], [57, 139], [13, 82], [111, 186], [90, 135], [40, 101], [13, 69], [10, 57], [28, 71], [2, 45]]; loss = 0.015721 low_pass_filter = 0.300
+Epoch 0: | | 19859/? [3:28:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 19860; scene = ['91d8b19f0f2d27d9', 'aae881954eaac80a', 'ccc96485a1d79099', 'fee5eec398ccae07', '0cf04367b2124319', 'fc4456fea1c67e5d', 'c219d2148d02d548', '01272cb3e77d7aa3', '7f8dde6252e1ed13', '59491fbde19676bc', '50d7e64b19747fad', 'da3850d0382a6145', 'e09552a1d3ff9da2', 'a6e5fde299dbd66b', 'dd17004fbd4dcc42', '46baf2007c7de989']; context = [[74, 137], [3, 62], [125, 170], [121, 186], [31, 102], [18, 92], [60, 117], [69, 136], [51, 111], [80, 124], [4, 53], [127, 190], [112, 174], [8, 88], [135, 211], [24, 70]]; loss = 0.012398 low_pass_filter = 0.300
+Epoch 0: | | 19869/? [3:28:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 19870; scene = ['abe83e83dbf64e42', '1270b643c052a421', '9336afb663162d9d', '8adf2f72f70c6710', '601a6ddc606031ba', '1a5022549d2718ae', 'cbb4f113b5a6a896', '1af27c8ae2d49321', '4d7d60c55b25f539', '10bb8a86f71319db', '8986decad6e22e12', '642cf78c4fa0ef61', 'c1d702f24b2f7bfd', 'e7dfd4fc097e0d5a', '2cd702dc4fdef4a4', 'ab7f018f21bef342']; context = [[41, 108], [183, 253], [28, 103], [10, 85], [7, 70], [176, 241], [55, 135], [14, 83], [52, 128], [23, 88], [32, 106], [9, 81], [2, 54], [166, 238], [8, 59], [1, 44]]; loss = 0.019546 low_pass_filter = 0.300
+Epoch 0: | | 19879/? [3:28:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 19880; scene = ['a0eff2ed6dfc0743', '1a76ad73eecd0b91', '15646b7173d4f18e', 'e1654625696cb3b3', '4e64a4ac8b752f34', 'ad09be69e08a8e3e', '43b0af4992345e28', 'f8543f36c4a0962b', '82eea335b00f5e72', '257ec8864836da51', 'a6e476731dc84ba1', 'ef3a08eada7659fa', 'ffbad00f23fd9759', '585c4132b0b8845c', '0160f46f6ab85e70', 'd50f9f193c3063a2']; context = [[1, 43], [27, 71], [0, 61], [82, 146], [181, 257], [157, 230], [9, 58], [65, 117], [23, 92], [126, 195], [19, 75], [14, 78], [98, 148], [76, 130], [121, 179], [92, 147]]; loss = 0.013784 low_pass_filter = 0.300
+Epoch 0: | | 19889/? [3:29:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 19890; scene = ['f7d98971d27dfe00', '2f3a17c1963f8747', 'a35e52a09f508fe6', 'd13f87ebbb540503', '09f2ad8e87f8f42f', 'fe6824a4a09b11e0', 'c29cc54efc535e57', 'f43d286d12845522', '95a2f55495af7a79', 'd0a239ccef3fbe57', '7d8a6ad17acd0c91', 'eba16e2c6d32ed27', '5d4377c186d48768', '3b26d9c5685e51bd', 'dd7e8f13aef0b6f2', 'c229a0862750cb9c']; context = [[3, 51], [75, 135], [4, 60], [16, 78], [108, 152], [14, 87], [24, 98], [1, 82], [61, 128], [6, 77], [9, 72], [48, 107], [202, 261], [29, 72], [16, 67], [14, 88]]; loss = 0.013653 low_pass_filter = 0.300
+Epoch 0: | | 19899/? [3:29:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 19900; scene = ['ce1a9465dc08ef4c', '5452d16cca0dcb9b', 'e619cbfe99afbe2e', 'f000b259a36dc7c7', '72d4a43408c7049b', '2e009384920ac153', 'e7502de958354176', '0fe1eb655b38870e', '29f922dcbbf6e882', 'b4ee79056f9b7011', 'd77406fa7f3b9835', '40006adec86cdcc2', '503c9940f2fbca1e', '950df50263df8522', 'bd4700646e17b05f', '350d6a093aba92ff']; context = [[34, 87], [3, 84], [9, 67], [10, 69], [4, 68], [24, 80], [31, 75], [207, 250], [185, 235], [3, 54], [1, 44], [75, 148], [61, 131], [142, 218], [34, 96], [27, 98]]; loss = 0.015172 low_pass_filter = 0.300
+Epoch 0: | | 19909/? [3:29:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 19910; scene = ['27a48b30775e1aba', 'cd07ac1bbdb3d7aa', '0300e98ea0b7e0d1', 'ae047d3f44cebf1b', '62939c5723d59295', '97eb82619d559a52', '3758fa83d2a9fb3e', '9c7b700f9c5cc6c6', '6374e51e6160a80c', 'c347d93a2934ddc6', '8cc5edb283670a32', 'ee4e748066074d37', '2f182e9cad395982', '0b77cefbc721b1b4', '904d484708497799', '446e2c9f02922ec6']; context = [[75, 121], [68, 115], [40, 83], [8, 61], [1, 56], [31, 96], [2, 64], [130, 186], [12, 54], [8, 68], [46, 100], [142, 185], [0, 75], [6, 50], [54, 130], [59, 105]]; loss = 0.013385 low_pass_filter = 0.300
+Epoch 0: | | 19919/? [3:29:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 19920; scene = ['e4af493e61f89b51', 'f735bb6df81d4612', 'd13baf90bc0348d2', '0141bc3a8179f6f2', '52e0505aa4e8c184', '787b457d2249bdb8', '0afb709aed993f16', '5b1b31d1fc116fe6', '679808e43e9188e0', '268be072c1afe4d6', '8d5bf196c1679c4a', 'ab470fa60eee8a36', '37520e6d05f6eeef', 'ca5b908968b3a4f8', '5ee41f28a5de1206', 'e4d6ec2508bbf420']; context = [[0, 69], [90, 137], [123, 203], [53, 106], [137, 212], [18, 66], [4, 72], [75, 135], [29, 104], [7, 49], [70, 146], [26, 91], [56, 110], [21, 92], [101, 161], [63, 131]]; loss = 0.029313 low_pass_filter = 0.300
+Epoch 0: | | 19929/? [3:29:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 19930; scene = ['d06f8cd99d46cac7', 'f47bca36b81a39ed', '8b92b2017c49dc3e', '14bbdd46f201f55e', '443aeaeaf233be34', '22b63b6be3f3992e', '2103796b5825f13b', '5816deaba41a899d', '6dc6bdc8ea4b6034', 'db9a1ba4eab8b3c9', '4f07c7aeda6dfd54', '419b6989160e3606', '246a0bdee01d12f1', 'd96447ccfd1daf81', '82c4af6d697ddba5', '963389198f0d43c9']; context = [[36, 98], [23, 93], [26, 86], [5, 49], [116, 172], [60, 126], [1, 83], [2, 59], [122, 187], [4, 64], [33, 110], [3, 63], [1, 68], [157, 214], [1, 60], [10, 62]]; loss = 0.014773 low_pass_filter = 0.300
+Epoch 0: | | 19939/? [3:29:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 19940; scene = ['317b285e38d28b32', '5ecf126eabe4bf2d', '8f11cc34cff18c88', 'c7415f2942f33110', '248bc6eca693c120', '93fc382a94286786', '4911e381810b09ea', '0339b5d985364b83', '560d05577394de06', 'b1f38f69a943349b', '5b5997d5f0ce5d59', '244b5c3c3d557a2b', 'd35d3ab840625cc4', '7b8d9e3dab13cdeb', 'cbacf5f45d250501', '313c38700fc2d235']; context = [[10, 84], [19, 70], [26, 78], [9, 64], [0, 57], [33, 106], [118, 161], [2, 74], [127, 174], [88, 135], [6, 55], [10, 77], [12, 64], [194, 264], [58, 136], [0, 42]]; loss = 0.016414 low_pass_filter = 0.300
+Epoch 0: | | 19949/? [3:29:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 19950; scene = ['86730e14cf45077e', '2c2d6873128e014a', '11a485ef06f84a25', 'e209814caf886ff2', 'fb3926ccaa7ce567', 'cd0fd8b0c6223804', '83e1a42fa8e4b9cb', '8f04ddfa3b4e7c25', '7c710ef6368c4455', '51a1a9e840bda41d', 'a10eab118e2d8654', '0132c785e29d4afb', '9d4c14c422d92f43', '7a72da90f59e10b0', '287641eb154f6cce', '173904ae7dc21f8c']; context = [[16, 59], [36, 94], [44, 110], [3, 80], [79, 139], [8, 88], [131, 188], [1, 50], [14, 63], [73, 118], [88, 165], [4, 58], [20, 80], [15, 82], [1, 71], [22, 77]]; loss = 0.013475 low_pass_filter = 0.300
+Epoch 0: | | 19959/? [3:29:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 19960; scene = ['068b869b3861f8fc', 'dcbea8d317442825', '0d17e709818fb499', 'a39c6e8f3d9a2a00', 'a7c1244797fc53ad', 'c2ed056e761bd2c4', 'bccb2d322b8bd512', 'e2d62f82e625ed88', 'a752ffdd0cd196ed', 'ba823bca7db295c1', '41cf7931d87820c2', '9e299e04b20c3f70', '19a84a67a3a07e70', '654d07e5521de19e', '6b19a5bb419f101f', '4d35d640d775aea7']; context = [[4, 47], [2, 58], [114, 158], [25, 104], [1, 71], [147, 210], [25, 100], [56, 108], [16, 85], [30, 94], [70, 114], [79, 127], [10, 61], [83, 152], [2, 67], [42, 88]]; loss = 0.012693 low_pass_filter = 0.300
+Epoch 0: | | 19969/? [3:29:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 19970; scene = ['5d709e068e3236cc', '89162229eabb3797', 'd481fa99ea0ed419', '3c2562d841d087ac', '1c7fcb270b14fe08', 'f0ebdc3c38328266', 'f281ad937282c080', '231f647344adbfe5', 'a864af7ee1e31eb0', '54b26b7357f81c78', '79f4dd50557918b7', '708f9f5df8fc6ed0', 'de328be82ac43439', '12c487620fb54b3a', '6f2781369a82d41b', 'e11b15356cb16a5f']; context = [[11, 63], [11, 77], [134, 204], [60, 139], [102, 180], [4, 70], [138, 196], [121, 169], [127, 180], [1, 51], [5, 75], [39, 99], [19, 92], [10, 88], [4, 79], [95, 175]]; loss = 0.012112 low_pass_filter = 0.300
+Epoch 0: | | 19979/? [3:29:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 19980; scene = ['eedab507fc8c1a62', 'c72830426464df81', 'c7b9c7a19e607990', '5d6726dee1a59091', '7662b6e96d5a16cc', 'c25b0dba47e6f0b4', '0850f17e26282e36', 'bfd9cf9aafa2649f', 'beeeca1e5a21b7ec', 'd9755f5017751d8c', '07db89bb67a7d95e', '93811e2babb269f8', 'd15376e9c52756e8', '5455078fcf88ffac', '3b69ef80fa685760', '224521c60199b360']; context = [[3, 72], [3, 84], [50, 124], [33, 115], [14, 73], [14, 74], [40, 84], [4, 54], [124, 190], [47, 126], [4, 71], [2, 63], [118, 161], [125, 181], [12, 57], [169, 249]]; loss = 0.013923 low_pass_filter = 0.300
+Epoch 0: | | 19989/? [3:30:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 19990; scene = ['df3b7a48d82db215', '92ed61f8e16b7e67', 'dd41e2ec5e3c45cc', 'f3a27b723953dabb', '274367d890191087', 'd8c2f0a3734cb493', 'c620cf9d6045d520', '87bafd063b2451bd', '617b4bc98d7e0bb6', 'de8e8e917ea9ecff', '1a8246c03de406e8', 'ef191187096ac71a', '8c9d5935dacf2a41', '5de7a8c05f79bd08', '8d035bc693a9862a', '36b91d574778ca45']; context = [[36, 114], [1, 65], [24, 88], [80, 160], [11, 93], [30, 107], [5, 62], [9, 53], [24, 67], [33, 84], [2, 48], [3, 64], [36, 103], [66, 126], [170, 218], [29, 110]]; loss = 0.014271 low_pass_filter = 0.300
+Epoch 0: | | 19999/? [3:30:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 20000; scene = ['d297538f14da1f52', 'a100e3e5a44b9087', '0da1ec5684bb7324', 'f4e169b7394250b0', 'a8a2445b40f0ee30', 'ccd70d500f2e2bc9', 'c83fa4955ce845b6', 'e6ec55219ebe382e', '1c7f6e9252a56933', '8024a13b551c34cc', '8719fa7d74daa634', '59a755e113475d15', '16f26ba6523bc187', 'f155a73f9c735fc0', '0f814dee0106dece', '2ad77eb190b91f41']; context = [[0, 82], [5, 50], [3, 65], [206, 275], [67, 115], [5, 55], [49, 115], [3, 55], [22, 78], [12, 71], [41, 117], [10, 68], [3, 55], [8, 55], [31, 99], [5, 61]]; loss = 0.013468 low_pass_filter = 0.300
+Epoch 0: | | 20000/? [3:30:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0validation step 20000; scene = ['46502a6038bd288f']; context = [[30, 83]]
+Epoch 0: | | 20009/? [3:30:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 20010; scene = ['0ed772aee274d4e7', '9741cf7012a04c9b', '504f84dcd4f6fd4c', '015ca2f115af3dde', '85ca66628c3b583c', '82f678db97e94615', '2028eac12a944ac1', '0e1d3e59eb57c68a', '53700a49e8dbf513', '3602926587799c64', 'd516ec3d191a3e16', '1f0353d32c568894', 'de95779cdbeaa19a', '252543ae4021a637', 'f86499380731b8d5', '8e4f26e204962462']; context = [[56, 124], [48, 108], [106, 179], [58, 108], [1, 50], [18, 69], [3, 49], [24, 67], [71, 119], [35, 96], [78, 130], [13, 85], [4, 83], [13, 89], [17, 91], [2, 67]]; loss = 0.012078 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 20019/? [3:30:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 20020; scene = ['9b0b1203fa711a60', '2b63c5c022a05285', '41e14c49ec414769', '753f7807629b7b27', '71251df554d0adc8', '11888e7091856167', 'bf399324cb019903', '6f13f9ecee0df7b2', '81dc4d2995483348', 'f2afdf3263804b55', '803a99d95477e5ae', 'f34ab7eb2825c56d', '855f08979b6001a7', 'ad30f6ce6211f2eb', '36191af8c8077d1a', 'c35d639b8bfad8c0']; context = [[45, 98], [0, 43], [5, 84], [1, 44], [4, 86], [123, 197], [7, 50], [1, 81], [0, 73], [20, 71], [34, 105], [2, 50], [49, 105], [3, 47], [12, 71], [1, 50]]; loss = 0.013499 low_pass_filter = 0.300
+Epoch 0: | | 20029/? [3:30:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 20030; scene = ['e4965e111cb66be0', 'd6211fae193ad931', 'd33a9339f83571d1', '7b2f71462829b280', '815fc179de449468', '2946089a31aa5810', '417c9606a7d23e1e', 'f2a78c5c272a3009', '0f819dc526c6789d', '88c708a41a1fb05d', '0a11dd9556fc99b0', '6db959f1787dd868', 'ef4a031cc59eba0c', '0d4ae3101bbba58d', 'f5931cc439781222', '1ebafcd97626e04a']; context = [[10, 70], [63, 144], [27, 90], [84, 126], [1, 70], [19, 83], [64, 138], [1, 51], [11, 67], [14, 84], [20, 63], [21, 73], [37, 93], [19, 99], [0, 69], [47, 122]]; loss = 0.014403 low_pass_filter = 0.300
+Epoch 0: | | 20039/? [3:30:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 20040; scene = ['87d64e0d263241ac', '66142899889d749e', '5af820514cb6e04b', '7ccc290152046a71', 'dfab3206eb0221fe', '028130721962d51f', 'bb7ebd1a4b790368', '2eb5e99df3004bfd', 'ce120eeb3b3b4e73', 'a9c47c6038013d7c', '3a5ab862f3c3d360', '86d35668ab8b30b4', '3cffbbab0d4fd5f2', 'af4058a9e533f84f', '0d6e53a797be79b2', '453c9df8e4a96816']; context = [[207, 271], [63, 110], [7, 67], [1, 43], [20, 86], [195, 254], [0, 46], [36, 113], [88, 131], [46, 112], [39, 95], [55, 99], [196, 275], [12, 72], [39, 98], [21, 76]]; loss = 0.014021 low_pass_filter = 0.300
+Epoch 0: | | 20049/? [3:30:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 20050; scene = ['1f9d4ff0ee12db50', 'c5cf3ded0180413c', '04887b0875f7e718', '54190bcf73f4eedf', '3b0773ad88f66cb8', '634f60344260f0bc', '42e6dc1c4262ab83', '575b15967a383d40', '299452d01e7e3684', '6eb73382a4482efe', 'd9963ae38f556282', '4d50d0f381e18888', '4e880a960d7a6652', 'e1d9628095f76a9f', 'a99d97f3a644e3a5', '9406e378a81c4337']; context = [[190, 258], [17, 92], [12, 85], [15, 73], [127, 207], [16, 70], [2, 73], [7, 80], [5, 87], [19, 63], [7, 50], [159, 206], [0, 70], [12, 89], [31, 89], [8, 83]]; loss = 0.013279 low_pass_filter = 0.300
+Epoch 0: | | 20059/? [3:30:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 20060; scene = ['abb5da780ab0cc45', 'c81a4b5b1c5017f7', '0dbf05c98a14458b', 'e7279e6ff17beb19', '0c915dbc5d322181', 'e57601c58f2fc0e1', '1cab82c486d4e080', '06a2001efeb03954', '3514d0d03d033508', '8a77f5585ce5752f', '6393f6e0b7d639f6', 'aff09937b9aceadd', 'bad1a69d62e89438', '4a7dbcb1e28eba2c', '9d5745a7ac5e82eb', 'd85a5d0186a2e947']; context = [[44, 102], [8, 56], [12, 73], [30, 109], [23, 102], [13, 74], [14, 70], [11, 61], [10, 57], [24, 66], [60, 120], [26, 88], [60, 139], [71, 153], [86, 140], [0, 43]]; loss = 0.015289 low_pass_filter = 0.300
+Epoch 0: | | 20069/? [3:30:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 20070; scene = ['4ef1dc6966082c8b', '79d2c9de50d9ef47', 'a9a97381f3c0d9a1', '76fb9550ad54d54f', '076a3cb985c80010', '87642eb2736f7e14', '512b7e32e6bc3f48', 'c6d7b4ec3f169cc1', '3ae99c9e9d3762b4', '86fd1d544859f77d', '009d5ce3e73298df', '72fbb5441e60349c', '35eb1ea54b2d5010', '1ca122afdd7a2c3d', '96296c928b44f0a4', '831f44fb2dc2311d']; context = [[102, 173], [83, 159], [27, 69], [3, 64], [4, 72], [16, 84], [3, 51], [28, 87], [26, 85], [28, 79], [7, 71], [0, 42], [7, 68], [14, 87], [136, 208], [75, 144]]; loss = 0.014774 low_pass_filter = 0.300
+Epoch 0: | | 20079/? [3:31:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 20080; scene = ['8c4c2c2ef15f7e54', 'a4d680b36facda6e', 'fba8aa21f45125ba', 'aff9cabf79a539a9', '53aa005c71a72d1c', 'c63798be59424d16', '91b9589fdcd3ea5b', '6618135c649e0ac7', '9f589a27fa72f3fe', '97b50b43f62f343c', 'b6ed3946deafac7e', '8163f7b33001ecb9', '9c84735e520d9928', '622ab7cc0a735367', 'b1a1f230d848de42', '63afb78b26d8b70b']; context = [[119, 178], [1, 73], [52, 122], [20, 101], [229, 275], [9, 81], [117, 161], [2, 60], [13, 62], [15, 63], [6, 67], [74, 120], [23, 71], [36, 87], [37, 105], [3, 46]]; loss = 0.013306 low_pass_filter = 0.300
+Epoch 0: | | 20089/? [3:31:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 20090; scene = ['eadc6a24e965d9bf', '87dcad4e125ff354', 'd7699c99c299376f', 'd7ac8e9cbef709c3', '3e5f42bd01cbd213', 'e1ea6a2fc9b462ca', '613c8ac8e1030890', 'b7b53829ba5730cc', 'f21a7befa707b6bc', '0492445f09a9bb4b', '8e41d984995f25c1', 'b0d6974ffe8fa882', '9b7873876f84ad81', 'a75907c57ea65d77', 'ecc71f65b80936ce', 'c6aa24612a23dba2']; context = [[8, 66], [107, 170], [9, 59], [7, 67], [33, 91], [68, 118], [3, 77], [11, 84], [7, 87], [70, 112], [45, 107], [0, 68], [55, 100], [117, 191], [58, 132], [47, 128]]; loss = 0.016129 low_pass_filter = 0.300
+Epoch 0: | | 20099/? [3:31:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 20100; scene = ['e4f49bede305510e', '627d8b1a65c08482', '2925cbf7ba6f1d8f', '3d1b5179f6509fee', '387b69e395b27574', '67d2487d7b4bde8a', '9e409d0392d4f763', '6b017044e6720a0f', '810f5259de1dcd97', '3bfd6cf9e7f908ad', 'd98478061d8a24ef', 'e17c8318e482fd68', '3c19e57ac3f4ee30', '71f772e05b14d6ed', '5355da26f7f618a1', '060de3e4675e2418']; context = [[11, 90], [169, 230], [0, 81], [1, 51], [196, 251], [21, 64], [107, 164], [0, 80], [84, 151], [22, 81], [0, 60], [3, 49], [7, 54], [83, 126], [105, 183], [6, 67]]; loss = 0.012679 low_pass_filter = 0.300
+Epoch 0: | | 20109/? [3:31:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 20110; scene = ['9260d88f3490f607', 'eceeb7a49f302da9', 'cbc6de0c481e59cf', '235b7fe59778e1e0', 'cef1fe824ce087d5', '5b53a80cb89d88b4', 'f0f9dc20febf63c6', '26e89c85acbd3466', '2e2d0271a792d57e', 'db3b613d2dda8b86', '76ee4ae91b2d6526', '9cd0248a2fc79292', '76dae941ffcc3e94', '078b712f247875c4', '0e9e8dd84bc136de', '1a0c841bd063b70b']; context = [[133, 191], [20, 97], [31, 99], [19, 80], [4, 78], [71, 146], [15, 73], [14, 74], [208, 277], [3, 46], [85, 149], [19, 88], [153, 233], [4, 51], [9, 56], [1, 50]]; loss = 0.015895 low_pass_filter = 0.300
+Epoch 0: | | 20119/? [3:31:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 20120; scene = ['98297649bab943f9', '2d7f01697e05d2b7', '76cface391a7faed', '48f0cf3536b29c37', '11631e94f2cfae3f', 'b8a5be3f37c332e1', 'a5d8de81d26c95e2', '0e3e75ce2921bc9b', 'f7ff5b1477f82169', '855e59a8017718a3', '2f9d71971c4c8af5', 'ebfbb2432fcbeec4', 'd470875e58c39c58', 'd510619771b2dbb1', '713acc9de50a122e', '440db3635ed46037']; context = [[194, 256], [27, 95], [1, 64], [150, 221], [104, 161], [6, 78], [43, 120], [24, 100], [4, 52], [109, 167], [112, 174], [50, 99], [18, 97], [29, 92], [13, 57], [58, 119]]; loss = 0.013988 low_pass_filter = 0.300
+Epoch 0: | | 20129/? [3:31:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 20130; scene = ['e6aabf37750ed849', '9fe86156f3b4a471', '6e3e003c08484cfb', 'ea16bc8da14dfc20', 'dda911b9301b1e5f', 'c2d40b68043e98d5', '1b382b1f7dba4c20', 'c5e778adb95578f3', '023327e82b73dedb', '48747285d6af5672', '2511f4234bb649b0', 'e7d671486a4b099d', 'b11740540edffef4', 'fd20e96d59c53813', '98f451b1132d99c3', 'ec9c761f8603d26e']; context = [[60, 143], [129, 176], [26, 106], [75, 144], [8, 61], [34, 100], [26, 86], [0, 43], [59, 101], [56, 99], [13, 67], [6, 89], [2, 74], [0, 75], [37, 99], [35, 105]]; loss = 0.016890 low_pass_filter = 0.300
+Epoch 0: | | 20139/? [3:31:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 20140; scene = ['c3278a0759c29f0b', 'e3baec3d11a94685', '95f88ab4932e5ee7', 'f5d5cdb2832d4496', 'a029fa2714aad1b4', '697df23e9f5fb6f5', 'd41080892de5082d', 'a92ffea4cbb162e4', 'fc801406b1f9db3f', '6432570e1a1c49f6', '0400474c688a355b', '062f247f28a18c88', 'eff8b7d918bbe2cc', '3bb8ca11ff6e54c1', 'ed0890096e714ae2', '2ed09de0e64ad059']; context = [[48, 123], [22, 97], [25, 77], [76, 159], [100, 165], [50, 111], [0, 44], [3, 51], [68, 132], [6, 81], [18, 82], [0, 45], [26, 108], [39, 121], [29, 94], [21, 71]]; loss = 0.014509 low_pass_filter = 0.300
+Epoch 0: | | 20149/? [3:31:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 20150; scene = ['33566014ee56f77d', '57b11b8b82458f9a', 'd69df5f455d35671', '2baf2f099bcd88a7', '492a7e9f37416b6d', '712ba711cd63d37c', 'eee30c0a00eff2c7', '81c57fa72d55c6a3', '6db2e32175f3fb2b', '84c7b81fee110094', '3df33a689743b8ec', 'cdc25fc545a88095', '969b9699cbc22537', 'f6c9f7047e2256e1', '17ac30279e61913c', 'e6cfdadf048f70a1']; context = [[28, 110], [9, 59], [175, 242], [42, 106], [5, 84], [25, 71], [0, 73], [5, 54], [47, 96], [2, 65], [36, 119], [10, 65], [0, 69], [64, 114], [88, 137], [68, 126]]; loss = 0.016319 low_pass_filter = 0.300
+Epoch 0: | | 20159/? [3:31:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 20160; scene = ['77f2d5d4f70a2c06', 'f460c75ce0bd6969', 'f75167ab4259531e', '128ddb0e3fbd0529', 'bd9691996bd5d929', 'ca030905abc41a54', '9c134c1df58d2d56', 'da4560895069f239', 'dfa445fd1c795422', '31416904feb3adb2', 'b84a5c1e7734f562', 'b38c90b77ef3ad91', '8ae819bed70752df', 'c4d9221e93c2b12e', 'bab59381c6649e73', '852d166ff2c05a58']; context = [[0, 83], [20, 65], [25, 85], [23, 94], [5, 59], [117, 159], [24, 77], [38, 102], [43, 123], [43, 112], [36, 92], [41, 92], [166, 222], [7, 70], [10, 56], [9, 73]]; loss = 0.015482 low_pass_filter = 0.300
+Epoch 0: | | 20169/? [3:31:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 20170; scene = ['e0c4d841d11abf19', 'fb46a820975c2449', '90a599cbae3f7f49', '31f802c4d94b2a8c', '259d50e9e6434426', '3ca9f2ea058b7220', '4be99782bb201a87', '9c437a1ff26fc63d', 'd5a3940bb6a3363e', '17305b0b98053dee', '032961ac14c9b53a', 'b480e474281f5335', '36cba4fb28af5f41', '9ce71811d7ef9514', 'a65f2600585e4c08', '044269d00517f7d1']; context = [[55, 118], [168, 228], [67, 148], [33, 110], [3, 60], [95, 166], [24, 76], [41, 91], [73, 133], [143, 199], [63, 106], [39, 86], [10, 90], [75, 124], [28, 100], [26, 79]]; loss = 0.012610 low_pass_filter = 0.300
+Epoch 0: | | 20179/? [3:32:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 20180; scene = ['e8f4103470bffeec', '004f7056eddd68b8', 'bb7fb00560d88234', 'be78b445daa29b6b', '72f41340c3506abe', 'c3bafca269ab8b48', '998802a48c76fd37', '8fe5fd9e06ca3c9e', 'a74f43b16ad90fbf', '82513f328f3249f6', 'bd7fa99d58b0362b', '71dd1a7180379d83', '2427ca82cfad894f', '7f279e25ddd3092a', 'e8540008e013e465', '736a39818de2100b']; context = [[13, 76], [113, 158], [36, 78], [19, 78], [0, 61], [60, 143], [4, 66], [4, 74], [79, 134], [0, 42], [17, 84], [0, 66], [66, 132], [16, 87], [32, 107], [34, 79]]; loss = 0.015804 low_pass_filter = 0.300
+Epoch 0: | | 20189/? [3:32:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 20190; scene = ['b8b0b7d8a4ed6978', '46ae6f33316dbb7c', 'afed802c9d9042a7', 'e8185625226bdc84', '8a2120eb135875aa', '62c2edc48b267fd5', 'fd8c20b69b905983', '7a0cb96230343062', '0377dda9f7523d84', '2eb7c9c5d826a22c', '3d2c547f7bec4c73', '8f504acbf63a2e05', '6dfe41d46d841142', 'c5aed9e5140a93de', '77ec536967a90c82', '7694f69099715be2']; context = [[28, 70], [101, 143], [205, 266], [59, 139], [32, 113], [18, 67], [15, 58], [14, 65], [10, 77], [63, 124], [31, 111], [115, 177], [0, 47], [65, 141], [36, 111], [137, 180]]; loss = 0.012225 low_pass_filter = 0.300
+Epoch 0: | | 20199/? [3:32:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 20200; scene = ['2075f9a34df7009f', 'b333ae137d9b364d', '87bcd8ec1a54ec5b', '35c3896f8118d911', 'a04482e878287d98', '506c3c6a37df296b', '0d6296f944a5527f', '0d769b8f95716ff4', '84156a96d99cea83', '31ba36328f5e0f9a', 'e191c3d4ea711568', '249f78d6d0b9f4a4', '8c174f21bde778b0', '6dfa6c612f9209f5', '5b0d6c1647214139', '538fac0821f2f815']; context = [[11, 77], [106, 150], [21, 103], [20, 89], [39, 119], [128, 208], [0, 51], [0, 55], [81, 163], [137, 197], [34, 92], [173, 236], [186, 235], [113, 169], [139, 196], [54, 118]]; loss = 0.014566 low_pass_filter = 0.300
+Epoch 0: | | 20209/? [3:32:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 20210; scene = ['de0c2fd682eedb42', '1b585c8a5c9d0228', 'a9f8cdade19d492a', '3fc603b4c4531c11', '7efe572aca0b57ef', 'a1d908a4dd169770', '5678b255dedbe157', 'f52c70025f40e56d', '7dc5c394263df267', '871ec8d951a81c62', '7c68690722edb3cf', '354d09806f690d23', '6afad1b7b4d32884', '75d3c0a74d25d6b9', '8fa13f57998d5db1', 'e062e2320ff7cc68']; context = [[141, 209], [24, 87], [114, 176], [62, 104], [49, 111], [0, 43], [15, 57], [97, 140], [27, 86], [30, 94], [2, 67], [0, 48], [134, 214], [18, 64], [3, 73], [40, 108]]; loss = 0.016596 low_pass_filter = 0.300
+Epoch 0: | | 20219/? [3:32:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 20220; scene = ['972a25f3583e57f0', '39c04c73d4bd21dc', '4df0eabb02d177d7', '54113616e3c8ae12', '0d8a60e8ab6f3034', '67db02d7bf813f5b', 'ce68b2802d6819ee', 'aec9839d095186a5', '72ad04d9fea7f3aa', 'c4681c8af6d65f1b', 'baccbb802cd0ad2d', '559f0251ff195a45', '6e5d2e5d7e398db5', '502774a6c8eb28ba', '36f89cf6ea6d7736', 'f5eb0f156e32645b']; context = [[25, 86], [0, 68], [2, 70], [20, 80], [7, 89], [104, 180], [14, 59], [23, 86], [173, 253], [79, 149], [16, 95], [23, 79], [29, 94], [31, 74], [18, 76], [73, 143]]; loss = 0.012819 low_pass_filter = 0.300
+Epoch 0: | | 20229/? [3:32:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 20230; scene = ['154ffc3f70fe9019', 'ac030ef563710103', 'c2a910981ea58dd6', '2c4bf4c81f761386', '14464e9cd85e72bd', '131a064a5ab68a39', '00e735135acbf78d', '0bcbfc72bbc9cf7a', 'fbc2ebad8df77f1f', '010b84cc55023da5', 'b3aed54c0e53ca56', '9b663c4f43cd593a', 'b31b65628bc2a5ad', '6b54e3dd731cf914', '0f79891c783d6030', 'b08dd02f55c030c9']; context = [[3, 77], [85, 133], [4, 60], [105, 188], [21, 70], [9, 89], [129, 205], [13, 90], [28, 76], [28, 85], [71, 153], [3, 75], [5, 60], [5, 84], [5, 55], [44, 120]]; loss = 0.014972 low_pass_filter = 0.300
+Epoch 0: | | 20239/? [3:32:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 20240; scene = ['2ce66d26c44c734f', 'a641a23dd13d538f', '6ebc3a7d0de6eafc', 'd989d3d2875d279b', '99e4b0493a14d0b7', '89fd2d7f32ff9ddc', '86e586b33e7b6f38', '5ccebb9ae8057cb7', '75f9f8b758663455', '2479a45557099a67', '493811a076df63d0', '7885f21461cd4377', '9c51cf4e89113126', '4ae3a70493900f6a', '406691a64cced965', '19cea81590502fad']; context = [[10, 89], [0, 74], [0, 67], [65, 126], [77, 130], [15, 80], [107, 150], [23, 72], [29, 97], [1, 43], [30, 80], [12, 56], [131, 188], [2, 67], [46, 112], [157, 216]]; loss = 0.013271 low_pass_filter = 0.300
+Epoch 0: | | 20249/? [3:32:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 20250; scene = ['f100eb1fecae924b', '454e22f993652a19', '6e418951119a29a4', '516961401bb697f4', '7fd5e42cff5b3e8d', 'f2dcdba4ff9059de', '8da50607ce8939fb', '01620c1d8a552b67', '407fc4424dd55e49', '64f39dbc3a894720', '3005b48849426b4b', 'f3efc40fa4af8766', '665a4bc0a88c7f78', '270e9e4628d75978', 'c28da739900c2d33', '893ee7f0458c8d38']; context = [[3, 81], [18, 64], [7, 81], [1, 66], [37, 119], [93, 163], [0, 79], [199, 251], [99, 163], [9, 58], [52, 124], [11, 72], [6, 62], [79, 133], [13, 85], [35, 89]]; loss = 0.014610 low_pass_filter = 0.300
+Epoch 0: | | 20259/? [3:32:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 20260; scene = ['42a6b81271506966', '67aa901c9e897988', '682307dfa2ffcb3f', 'b735ed8996e3d846', '81becda767f6ea92', '5f04ca4ac1a635b1', 'ce09a309ad53d4ab', 'e598d96fa007cde0', '0269bdc7f1711203', '3b2d3975d43291c0', '56eb73a8e5f30e59', '303f37c7b62f5795', 'ba485a9a56926244', 'bde3a7187db8eeac', '0a5e96ad4f6c2778', 'dc5718571f3ddba1']; context = [[15, 71], [3, 48], [31, 95], [56, 100], [12, 69], [15, 67], [1, 75], [67, 136], [3, 72], [30, 96], [17, 69], [34, 113], [5, 75], [7, 86], [1, 69], [32, 101]]; loss = 0.020696 low_pass_filter = 0.300
+Epoch 0: | | 20269/? [3:33:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 20270; scene = ['0601e12c062b6c9c', '76cee683355ed86f', 'b5958f2456ba0029', '5c95c43c5e8a7ad3', 'd2a650089461031c', '19a6008b9f6bdae3', 'f5733786f370ff53', '73eca94ce253856a', '99d6035714f21d81', 'e4d41618c44cfb3a', '5b011a5a3d233d7c', '5d208f960b52435d', '11c0b81458353544', '3e65537ef0d28ef5', '617dca58ae288a19', '72d4380bfe082bcb']; context = [[98, 176], [49, 106], [13, 69], [4, 85], [19, 101], [212, 258], [33, 99], [34, 92], [2, 45], [7, 65], [44, 101], [62, 121], [91, 167], [4, 58], [1, 50], [17, 96]]; loss = 0.014048 low_pass_filter = 0.300
+Epoch 0: | | 20279/? [3:33:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 20280; scene = ['8166bc95fdd3673a', '526a07ae78945335', '21b2e6ed8a28f10c', 'e3724fcddb4e902b', '0a5bf8a3d858f282', '3611b0062e270442', 'ad7c9253e7d65d04', 'f5465b7e3e63562b', 'e7c1d9d2e45a2d28', '33358de97d808ac1', '09d9154d6c630d79', 'f8c20984cae1a403', '39a2e6d8f621cf32', 'f57ea5136da9cd92', 'f0c29577a92bfad0', 'f3b995e8f9462516']; context = [[13, 57], [2, 48], [4, 64], [14, 77], [23, 70], [88, 147], [4, 52], [9, 84], [46, 129], [10, 67], [12, 56], [1, 55], [9, 72], [19, 83], [8, 57], [46, 123]]; loss = 0.014430 low_pass_filter = 0.300
+Epoch 0: | | 20289/? [3:33:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 20290; scene = ['9f26354daf967409', '75dbfc530d974dcb', '605af6b8d187a223', '395b6ac27ddcc9d1', '9137204ba76b5bfd', '6047d6adad773c2d', 'e994872e832abcd6', 'bd5ba9f0f035e654', '21d509dc6835618c', 'ef6401c117a2701a', 'ebe9dffdbc25573c', '37e5965f967c583d', 'b8be0bf2cde5c194', '71cc194ab57517b8', '2040195000efda34', '915b529e489a157e']; context = [[2, 77], [0, 72], [17, 61], [25, 101], [56, 124], [203, 249], [11, 75], [101, 176], [58, 116], [25, 76], [14, 89], [1, 49], [5, 75], [15, 68], [6, 63], [5, 86]]; loss = 0.013866 low_pass_filter = 0.300
+Epoch 0: | | 20299/? [3:33:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 20300; scene = ['ce1ba9200d3b5f9d', '6bcdb82cb6b822e6', '00cfaaa4ba7a16b2', '27f9f6d38c7e8e4a', '86db5362c760a2a6', '663a49cac3d334f6', '0099afa1d37142f4', '2dc02dcd60cd893f', '301a38f13db800df', 'f38c5ec3bf386a89', '56a636deccdb09f3', '21e93803e217a7f0', '879178cfcd91fa71', '758770f2884e9a79', 'a5b7cbe82d53f7b2', 'e0f2adb45811eca4']; context = [[127, 191], [51, 110], [9, 90], [2, 48], [0, 47], [54, 132], [31, 80], [132, 192], [29, 76], [0, 77], [19, 101], [88, 133], [169, 242], [16, 73], [11, 61], [13, 89]]; loss = 0.014434 low_pass_filter = 0.300
+Epoch 0: | | 20309/? [3:33:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 20310; scene = ['37896683ae1f6071', '52039b2a260ada3b', '96972262198651b0', '5acb91827a2e0982', '0b39518790231c83', '107af454fac6d8d3', '4c66b84948f73330', 'd3576ce59c4266e7', '8c6994c864878a3a', '274e2cb48e606aee', 'a7e462a87b62cb4c', '37e5fa0dcbbfde35', '2df3d9757cc88582', 'c9cc84f82b5182d9', '4f0e7c5b39da1ff1', 'ec15da6be3f66c37']; context = [[42, 125], [204, 265], [44, 122], [17, 92], [111, 157], [2, 60], [59, 133], [72, 132], [16, 78], [33, 85], [40, 94], [2, 70], [0, 45], [44, 111], [46, 125], [28, 111]]; loss = 0.014949 low_pass_filter = 0.300
+Epoch 0: | | 20319/? [3:33:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 20320; scene = ['1c827c5e0ead36e5', '4d3976b773ca97c3', '9936a143ff82ae38', 'f79f370f6b975e6c', '3841fc3abd900258', 'b4ecf910bc41088b', 'fa392694c9efa75d', '2c7204eaa40a2ee4', '8744d594a6b6f3d1', '4a89bbba2234db55', 'c994cebdcebbe16e', '9b7da6330793c183', '1cdf0de0c057ee6c', 'eb9c6d0de5a8d7b1', '7ca70ebea20f9f0d', 'b567c22340fd87e2']; context = [[151, 219], [106, 154], [44, 94], [16, 79], [8, 66], [6, 63], [88, 141], [198, 266], [35, 104], [31, 95], [9, 53], [10, 63], [0, 61], [8, 63], [62, 134], [43, 117]]; loss = 0.013970 low_pass_filter = 0.300
+Epoch 0: | | 20329/? [3:33:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 20330; scene = ['ffa59b433b2648f7', '683ba9cf930d8cac', 'd8a5cf097fe69424', 'fc91f4cded72d92e', 'af96623802f4dddb', '1d4f8bd46c960db8', '0849a021a3a51cb5', '5129718570b4de96', '251522536184bbb1', 'c7f3ba9289f424d4', '9e3c6f6868453f09', '3bb54d65291fd396', '4085aff1753b53ac', 'f765a2b14a33fffe', 'f8b94108d89ec159', '05edd0204e085deb']; context = [[59, 106], [168, 242], [149, 213], [114, 194], [131, 188], [21, 67], [13, 86], [144, 198], [21, 93], [103, 164], [41, 109], [75, 136], [0, 77], [29, 98], [63, 131], [26, 93]]; loss = 0.016476 low_pass_filter = 0.300
+Epoch 0: | | 20339/? [3:33:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 20340; scene = ['61db6faa8976e059', '796064d2460d5507', '9de4a2f511920a69', 'd14f895ef004feb7', 'de0d6a8a41cb09b8', 'c3120b358e2ef0eb', '74e8bbc4737ef761', '4e3112764dbd9862', 'f46ccfe3474b9dca', '87f1e7486245b241', '36eeea12dfc36430', 'd68d3f0ad69e8ab8', '24fdac454bc8b3b0', '60402e68cb17d7ef', 'c76a27069c3da62b', 'ef4927a8829c2ba3']; context = [[3, 79], [26, 103], [20, 75], [8, 59], [20, 102], [37, 83], [11, 69], [64, 121], [31, 114], [5, 50], [62, 130], [34, 86], [136, 189], [0, 48], [28, 96], [20, 64]]; loss = 0.018507 low_pass_filter = 0.300
+Epoch 0: | | 20349/? [3:33:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 20350; scene = ['6a140ea6d457efae', '25a066a44d4fbfe2', '1f74fa521c9ed662', 'c49dfdcdb8ec5967', 'a02a9658551d219d', '11d0d75085bf9ce0', 'ee308e09e3e799e5', '1b91d2fcbd0b384b', '88a6790c97629d07', '540bc85f7c1b643e', '72271741f674be7c', '86c89319605a764c', 'c70fbfe2ea94f606', '46f0491eb7365360', 'aa5e9a3df7061a58', '665049a1c88afbac']; context = [[49, 94], [45, 100], [7, 78], [43, 124], [2, 47], [110, 180], [61, 124], [16, 88], [14, 68], [54, 101], [62, 115], [19, 92], [16, 69], [18, 67], [1, 60], [2, 55]]; loss = 0.015233 low_pass_filter = 0.300
+Epoch 0: | | 20359/? [3:33:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 20360; scene = ['e9a730eefa817d23', 'd1406ee893c684aa', 'dfa2e964f8ce4d39', 'a9a22927fa79bd7d', 'a193c64d74fa2f80', '3cc86cfc33962094', 'bc643adc48271cdb', '9ed779c476a0d833', 'd2fd8446b4448fa4', '13c6f9f2297e1c2b', '754778718a0d9321', '86128cf3be774ec0', 'c34879e03b346e29', '07fe2c759ad400b4', 'd4e41a424a3f8cba', '5c288cfde1fe825f']; context = [[24, 84], [0, 82], [25, 87], [1, 49], [30, 90], [59, 135], [33, 84], [143, 188], [40, 109], [102, 183], [42, 110], [69, 135], [0, 67], [11, 92], [19, 62], [56, 101]]; loss = 0.017072 low_pass_filter = 0.300
+Epoch 0: | | 20369/? [3:34:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 20370; scene = ['ec08dd73107e5569', '135df50182880756', 'a6f59b6fc78d8962', '1e070505986c54a5', 'ae1755f58300ea88', '624486ee37748faf', 'a6806b331efee592', '1873d83890130cc5', 'ed2fc72e2b70e6fe', 'be3f01ddef87bd4f', '5be69b4c1416f7b4', '21ff785f89ad87cf', 'ba8513b8614bf99a', '6bfb1c61eb2da4dc', 'cdb3acdaba0ba837', '6af044a9888706f9']; context = [[161, 216], [2, 47], [69, 123], [41, 93], [31, 106], [29, 93], [28, 89], [1, 84], [52, 129], [24, 92], [2, 48], [54, 134], [12, 68], [45, 99], [13, 83], [35, 86]]; loss = 0.016449 low_pass_filter = 0.300
+Epoch 0: | | 20379/? [3:34:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 20380; scene = ['ab41878f4d98b685', '4a01767309372d2b', '8bd5f958ccd6eaae', '6c0c5d76c7684129', 'b0bcab24a4966810', 'c5f4adc54e9698e4', '5fd63ae2dff32d1f', 'cc18aeb3246a90ba', '9db5d6f52db8ebca', '7bc72ab83e1ddcce', 'b210d777c3b1b8db', 'd67e551cfc3f6a4a', 'b0056fe2ed291425', '884815c3ec6119e5', '03a8cb9065084812', '16b14534c3561c6a']; context = [[15, 66], [38, 105], [3, 67], [73, 134], [126, 174], [42, 120], [52, 129], [4, 51], [62, 128], [57, 117], [126, 180], [2, 46], [7, 72], [1, 47], [0, 44], [19, 98]]; loss = 0.013004 low_pass_filter = 0.300
+Epoch 0: | | 20389/? [3:34:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 20390; scene = ['fe469a7381a1276a', 'a54adeb03c0e5f48', 'f239832e46a934bb', '8e90b2efe9d89c3f', 'b10bac1cbfbcddde', 'a0fbe6aa2ebe6cc7', 'e4c7f0a3850195cd', '855601fdef75bb42', 'ea9991a2c4066cd8', 'c47c2dc65efa8de8', '4fe1b7dd68a6542b', '161da535e54d4c7e', 'a29e4db4734cac27', '23137b92a3535ce1', 'ed7cace48578d1eb', 'ec921f15f6d56701']; context = [[17, 72], [119, 193], [73, 133], [3, 67], [10, 77], [21, 99], [57, 133], [4, 58], [44, 115], [121, 179], [38, 119], [5, 62], [0, 46], [8, 57], [3, 59], [13, 69]]; loss = 0.011552 low_pass_filter = 0.300
+Epoch 0: | | 20399/? [3:34:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 20400; scene = ['323caf2e6b7dce62', 'fdcfc70a26b04800', '8a11b9190b9c768c', '983944b4dd64677d', '5e3823e7d702cd77', '27b292f550476cb1', 'edcdfad297756b43', '3b7c67b6632b1c74', 'c6ddb4bd6ef6f42c', 'd79b084da2f40032', '65f32069136de1be', '0e57d2d8655afebb', '9c99ea6fb0609c14', 'd476c136d6fe6cd9', 'e9f7e73140682cec', '0360812f602e4762']; context = [[28, 93], [32, 106], [2, 49], [0, 69], [7, 59], [5, 66], [61, 104], [181, 254], [51, 105], [4, 57], [5, 67], [4, 82], [1, 69], [3, 67], [188, 236], [82, 133]]; loss = 0.015778 low_pass_filter = 0.300
+Epoch 0: | | 20409/? [3:34:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 20410; scene = ['f6d42a46a90eeea1', '101d8b04b3837471', '218e5769692aecdf', 'e12e9436f503e74a', '6e58ea1e0f80b318', 'f58f30ebccd10394', '4ed1f85c32d21a00', '4b94c03307031f70', '73efaa26b1b16a5f', 'eda53024bf75d836', 'c75b763b30ccee6c', '76f8be7e88d50aa4', '003977c5456b561e', '6875ed27156df45d', '603cf62aff2f71c6', 'efc2981f31015b7c']; context = [[0, 71], [10, 70], [45, 128], [64, 129], [105, 170], [0, 75], [3, 48], [2, 47], [11, 65], [91, 153], [1, 80], [184, 232], [20, 76], [9, 68], [1, 46], [1, 83]]; loss = 0.015735 low_pass_filter = 0.300
+Epoch 0: | | 20419/? [3:34:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 20420; scene = ['8894baba5232b9e4', '20560c2074161402', '266ae731dcd710d2', '8b9464ff35895e7a', '8dece22e0e59e1eb', '9bdb078481fe6346', '7d38d8fbf560e9cd', 'f51001d4c9b1b026', 'b1dbb5ecb3d46dbf', '5d128926c1792da9', '4a4c7ec072d5e873', 'a329004f4d0df0c4', 'c15c9a0f2ad3e52d', '950ef5f76a91373e', 'e97df4a241db1eae', '0662222d7f246d7c']; context = [[19, 74], [49, 120], [95, 146], [1, 75], [19, 90], [23, 69], [8, 79], [0, 46], [2, 72], [41, 118], [7, 77], [0, 83], [46, 94], [62, 138], [6, 64], [0, 48]]; loss = 0.012463 low_pass_filter = 0.300
+Epoch 0: | | 20429/? [3:34:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 20430; scene = ['695a744c7eb7c26e', 'ea7648c11d71d569', '569b4f2bbd5ca97d', '1d0db89d39191516', '0171fad21c2da68d', 'fdd5a412245006ab', '99e513749f0aa3df', 'e6ec55219ebe382e', '0da1ec5684bb7324', 'c83fa4955ce845b6', '1c7f6e9252a56933', 'a8a2445b40f0ee30', 'a100e3e5a44b9087', 'ccd70d500f2e2bc9', 'f4e169b7394250b0', '8719fa7d74daa634']; context = [[47, 100], [0, 46], [111, 170], [41, 103], [36, 107], [16, 67], [0, 45], [2, 70], [2, 54], [117, 166], [45, 100], [77, 132], [14, 64], [15, 76], [79, 125], [47, 107]]; loss = 0.012785 low_pass_filter = 0.300
+Epoch 0: | | 20439/? [3:34:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 20440; scene = ['a40168cbb4106e66', '1028b6409fe844a9', 'd40f8c821c094033', 'dff49a02b469a780', '30c4e4e000f6e116', 'db7ab4ff7d59a066', '26088dbd45a7aa54', 'd19836a61f80f65a', 'dfb5ff252e8d744e', '34257fbc9a1044bd', 'd4e63c1413deec70', 'b3948b46c43ce90f', 'c66acaba1dc7c1e3', '5f0d2ecfcf3e4fbe', '912bd8af2638b94a', '2bf395f4a1046810']; context = [[40, 100], [117, 164], [2, 51], [2, 66], [33, 91], [0, 70], [14, 87], [140, 204], [1, 68], [25, 77], [122, 170], [88, 158], [62, 124], [150, 231], [64, 109], [76, 126]]; loss = 0.017780 low_pass_filter = 0.300
+Epoch 0: | | 20449/? [3:34:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 20450; scene = ['ceafc50a7ba41a5b', '5d273c36ce121599', '32eeb4a439a26fee', '197ed0be15628124', '55d3f2e5fd10a01b', '736ff25a1d7f5526', '94739072644d8de3', '1c2094adf8c68792', '0790f14b976d94c7', '0a04715dddb019a5', 'ce8a47555d5628f0', '3908eea16117a6c9', '362f4c367cc1f9c2', '6eba2ce3df793175', 'bfffd931c07dfe33', 'ac38d17472a8926d']; context = [[103, 153], [43, 98], [6, 63], [17, 98], [17, 66], [176, 236], [166, 243], [14, 71], [151, 229], [34, 99], [119, 177], [3, 63], [7, 64], [10, 82], [57, 107], [36, 96]]; loss = 0.014509 low_pass_filter = 0.300
+Epoch 0: | | 20459/? [3:34:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 20460; scene = ['abf815282a504388', '84e4301303b9ce99', '8751d83c81e691b4', '20805b89fea12b16', 'bdace396e50a0af2', 'ae9aad3603cc5392', '635de60e1e23e3d5', '08735c801ab7efb5', '54bef213b59ea065', '602079c1ebdb60bc', '3a7d29ec252c1ee6', '8fc22c613c72a02a', '76a2e535fa91b6d0', 'b6fd5a806aefc32b', '03cbfe24b3fba7ec', '370a312c8f5a41d8']; context = [[4, 61], [18, 68], [0, 43], [91, 164], [31, 93], [7, 54], [12, 71], [105, 152], [2, 71], [21, 77], [130, 191], [118, 164], [110, 182], [6, 63], [106, 187], [1, 70]]; loss = 0.012361 low_pass_filter = 0.300
+Epoch 0: | | 20469/? [3:35:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 20470; scene = ['b479eeed22e8e59e', '9610550dc2158bff', '6920ac9035ec1bc6', '09046388c5e7be46', 'a827ddb556a77ad3', '562e475d73662874', '792d911391142939', 'a047c9a13b47cc3f', 'da804c334cf667f4', '75db9374ceef7cc5', '6f38a7da09b0a3e4', '88af879dddd8d56c', '6e812f0450c188c9', '2ef80cd0a1af8f4b', '76967b1799e57cdb', '4e40f715298ecfb3']; context = [[75, 124], [33, 88], [10, 70], [8, 63], [197, 264], [53, 137], [5, 55], [46, 92], [81, 133], [32, 113], [8, 52], [7, 66], [55, 118], [48, 106], [4, 77], [8, 83]]; loss = 0.013911 low_pass_filter = 0.300
+Epoch 0: | | 20479/? [3:35:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 20480; scene = ['dddf255e4417171d', '3de0aa44194c37c7', 'c79455fedb06f07e', 'ed938b08f6cbd457', '891618b015a26c95', '16eff43540f42046', '79ed99e48b88be06', '9a53d1c17fe9886e', '8fd4563fc4ad666b', 'd2ba10930fe34ee9', 'a744fdc585769a4b', 'f9d6fd21c2364932', 'f45617a9f8bc08fb', 'cbe1f253bdd11625', '643691861a5043d1', '4062e3ed1635c229']; context = [[44, 127], [37, 80], [161, 210], [0, 49], [165, 239], [0, 67], [128, 209], [10, 76], [2, 46], [3, 61], [16, 71], [154, 234], [0, 60], [13, 82], [62, 117], [148, 196]]; loss = 0.012575 low_pass_filter = 0.300
+Epoch 0: | | 20489/? [3:35:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 20490; scene = ['e80016be3043dfa4', '1c1dceff8e6f0eae', '7339cb0297e15f9b', 'cb1c36275e03de61', '964a8c79fc153038', '46df912c9748215b', '3f7992e72a096099', '1dca0f5045f2747f', 'f5eb784755120303', '7d28d9be17cc753e', '996449def3195a22', '0a597d7ed9f61b01', '753a83da2aac4875', '931bcc26be9e4a7b', 'a3f309e3f9281472', 'a225f795015d2fbe']; context = [[69, 148], [53, 100], [150, 193], [205, 278], [53, 134], [0, 66], [12, 78], [8, 57], [3, 66], [1, 69], [9, 56], [29, 75], [208, 265], [38, 118], [32, 100], [28, 90]]; loss = 0.015149 low_pass_filter = 0.300
+Epoch 0: | | 20499/? [3:35:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 20500; scene = ['892d7a83c3b9e98b', 'ea0c02ec03e01f79', '298b67257e341328', '86920e8a33bf80ca', 'f3a5f3677b605b8e', 'e5bb63fb3c7ccacb', 'ccc977a72ce800e1', 'dc27bfb429117ad9', 'e8a0bf2b39e23967', '8e98b21ea7f84509', 'cd6c74ea0440e539', 'afb72ecf61f55cb0', '97c644f0012e37df', '079dfdfb6f34e74d', '2918ac9eea470964', '56dfa6b3aac18a3f']; context = [[21, 92], [10, 58], [3, 67], [0, 62], [12, 70], [5, 49], [30, 89], [129, 180], [0, 46], [65, 124], [1, 64], [36, 97], [41, 107], [48, 112], [7, 88], [55, 133]]; loss = 0.016384 low_pass_filter = 0.300
+Epoch 0: | | 20509/? [3:35:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 20510; scene = ['9f06cf0ba2ddd1c1', 'dd811aac95fe2a28', '79a0e8398b6a1cc1', 'b14f5a683aba2898', '7418314e76240536', '210c21e8248a76f7', '5be06a710f3fe6f2', '5e494fb5e1e7b29a', '99953a73e02cf657', 'c03994457e418e47', '918a61dc8f9965c2', '6f9cfade4b25754d', 'abf2a931ab2f7dd3', '0f158be82f3b293e', '85cff5568e6f52e7', '37a12ee501a6e5de']; context = [[9, 60], [179, 262], [171, 219], [18, 102], [198, 245], [5, 54], [132, 216], [27, 91], [71, 152], [7, 59], [20, 92], [27, 74], [9, 87], [8, 62], [9, 80], [58, 126]]; loss = 0.020578 low_pass_filter = 0.300
+Epoch 0: | | 20519/? [3:35:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 20520; scene = ['45056a7eb7c8bdbc', '293272fcb29e9ba8', 'a96c2922bf656806', '6a9ccc096a4948c2', 'f51d764e6543d993', '131e9781c6c6b8ff', '267a8f08245c96a4', 'fd923b822b8f87e8', 'e658616ac1207eb3', 'b17ef7cf07069daf', 'd1adbcd382e291e2', 'e96cb36ba03824cc', '049445c627d6850b', 'cdfa2ba7d2ed2047', '2e7e83f0936f48ed', 'bc0416bb78a802ee']; context = [[78, 153], [145, 218], [8, 92], [1, 72], [1, 82], [13, 91], [139, 191], [159, 220], [0, 47], [0, 71], [23, 80], [43, 90], [132, 205], [15, 72], [84, 147], [7, 90]]; loss = 0.018239 low_pass_filter = 0.300
+Epoch 0: | | 20529/? [3:35:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 20530; scene = ['d607e5e90b7be831', 'd7f2c52d7899c37f', 'f9c15813e130ca91', '648a53428caedda9', '0981c9e4524d0b2c', 'ee33e9848460b937', 'bcf1114ce1512ee2', '175acec4e4fa2f0b', 'e4a524860ede4dc6', '998dfeb70f24df60', '84e1eb03e41bc5d0', '52d88e6813dfc20c', 'e0e513ba0cc4ece2', 'a80b012b3a1726c3', '7c925f53e1814ec2', 'beb3094ce331d774']; context = [[32, 81], [31, 74], [41, 94], [15, 67], [44, 104], [1, 74], [10, 58], [4, 53], [2, 67], [142, 193], [8, 85], [0, 69], [89, 166], [31, 85], [37, 95], [69, 146]]; loss = 0.013874 low_pass_filter = 0.300
+Epoch 0: | | 20539/? [3:35:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 20540; scene = ['7813fb5636484cd3', 'abe30f78eedbc519', '3700d0ae62ced4af', '8a6f6565aa136bfd', '7ab30ef220195ce1', '98765b730c2dec17', '9b7a094854896bc8', '564a8cb026ae12e1', 'b8dc72a859facb4b', 'e572cbd7129940af', '74d01ad913965b4f', 'ab5aadbe6d834fcd', '4813e06ec55ba35c', 'e55f763ae26e52c3', '7d7aadd0fb7e9516', 'd81177196427a1d8']; context = [[70, 113], [26, 101], [107, 185], [154, 232], [91, 171], [1, 63], [70, 121], [18, 89], [34, 106], [11, 63], [82, 143], [24, 103], [81, 136], [51, 105], [11, 57], [3, 65]]; loss = 0.014347 low_pass_filter = 0.300
+Epoch 0: | | 20549/? [3:35:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 20550; scene = ['a945e873145d0009', '6e25ea3aa9e34592', 'e438117c5843e217', 'fdbbfdb6c21f856f', 'b467a362d1bb806e', '8693aa52e1e7e205', '364f3622e816caf2', 'db19784431c29cae', 'a54c4e390105d712', 'e545aecc18cfa501', 'c1be42b2ade872b0', 'e6cd96ceddb9b665', '360b737aa68f8bf9', 'bcb253cbb83f358c', 'e870602940137494', '5900d44f690b1ac8']; context = [[0, 61], [21, 72], [87, 134], [24, 96], [19, 70], [126, 197], [8, 51], [133, 176], [18, 62], [10, 85], [10, 91], [7, 51], [15, 62], [12, 68], [32, 84], [4, 87]]; loss = 0.014384 low_pass_filter = 0.300
+Epoch 0: | | 20559/? [3:36:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 20560; scene = ['90910e547adf9b44', 'c89988531782b6a3', '93f798863c448d60', '774b295adf0ff0cd', 'e692180a42b33409', '410d8cd6f84f655e', '8aa1d2417ba6be10', '211274b1f1c0b2f1', 'b3695e4fadc9118b', 'ae53a2036d3f5c8d', 'd1daa71bff94be5d', '3f689cfe96c92993', '73999b595d1e78fd', 'ce94464d4c88de51', '02de2123b9edb672', 'b6cf4496bb5499ef']; context = [[133, 194], [42, 92], [56, 110], [120, 185], [20, 85], [38, 84], [10, 82], [1, 74], [13, 67], [105, 176], [20, 89], [59, 139], [61, 116], [48, 103], [106, 153], [30, 102]]; loss = 0.015024 low_pass_filter = 0.300
+Epoch 0: | | 20569/? [3:36:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 20570; scene = ['f5ba1295534d56dc', 'd382296fbffe5f30', '7869661322e8f6a8', 'b043aa52d4a7b0db', '9d9920122fe5ad51', 'f2c878b47a10992e', '08ce927b16a565d3', 'f2613c70aa00b729', '4c523bf5fb5a0280', 'bebe9d0ddd290be8', '809588a559d93335', '748cf56a856108ad', '5a2d08475d3ab6f1', 'c4036a6e53239654', '34fd67ae7b64925d', '74c817ce28582a05']; context = [[8, 82], [2, 51], [20, 68], [27, 103], [0, 46], [4, 71], [1, 84], [4, 71], [1, 57], [132, 184], [50, 118], [19, 75], [3, 46], [0, 52], [11, 74], [118, 202]]; loss = 0.013206 low_pass_filter = 0.300
+Epoch 0: | | 20579/? [3:36:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 20580; scene = ['6f5809b57f53e0fe', '81827d2d1e0ae088', 'daa71cd8881b791c', '60dcc267282f1fc0', 'd1330eb904da306a', '9fc7da7f2d71386d', 'bf0e2d3e9c2df580', 'fa858bff135c195b', '2d05c89759d6f1c9', '2e5338ad01391b6f', '6383b0ca64518455', '0ada6fc4284b7559', '207f58822ac86628', 'ca7339faa02aadb0', '9c134c1df58d2d56', 'ca030905abc41a54']; context = [[0, 72], [16, 70], [181, 255], [16, 100], [32, 84], [60, 120], [29, 93], [2, 45], [1, 85], [34, 113], [19, 81], [129, 175], [16, 76], [1, 48], [0, 57], [111, 178]]; loss = 0.016023 low_pass_filter = 0.300
+Epoch 0: | | 20589/? [3:36:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 20590; scene = ['23ac0a975e7e789a', '83da83241d5d812d', 'd78279228e96c9ff', 'e6bd49192ab21f5d', '789bc3d0827b3458', '0a5432cc8599a8f6', 'a8e59959de741791', '305d4d8f6ccd89a2', '4fd852226711ffa9', 'a58eac36146df897', '70e5b380ebde6240', '943915af0c4719b8', 'e956a8b856618879', '61669d0878ba137c', '5c4fb449d39db4b4', '765868731f54c1ee']; context = [[32, 78], [27, 96], [81, 151], [3, 47], [3, 70], [11, 68], [0, 52], [34, 109], [33, 116], [0, 55], [2, 48], [11, 84], [103, 149], [0, 44], [52, 108], [99, 166]]; loss = 0.016618 low_pass_filter = 0.300
+Epoch 0: | | 20599/? [3:36:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 20600; scene = ['70067b1c75633104', '5de20d8e9cfb48bf', '2e1683f4a3d685f6', 'a512072824e8b708', '9734a6ac6851402e', 'd4f199bae7f9028f', '1a32ab8d1a0d978a', '0c4e735d67b92814', 'b52b95a079398db7', '6c72d78415cc37c8', '679f1c3b1b0b04b0', '38e70ae6488aab33', '1df4a087ca57a288', '725cf32a819e9e70', 'cb698c8760f7a3f4', 'db4b40e46859c189']; context = [[31, 74], [4, 50], [31, 100], [14, 67], [177, 242], [32, 106], [70, 116], [61, 129], [9, 75], [12, 66], [78, 136], [200, 276], [4, 61], [23, 72], [11, 54], [105, 175]]; loss = 0.013055 low_pass_filter = 0.300
+Epoch 0: | | 20609/? [3:36:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 20610; scene = ['1f9decf150da6e0b', '455b0835f0e1d690', 'ae8839dcf45997f7', '0007fe14c86c4a78', '4ac1fc658d4c60d8', '764a6e6a517c8fb5', '044aeb98dffe4dc7', 'd1b2aa19288553ac', '558a90d23541a1ca', '1a03ae1e50fd44fe', '69514f04830cb76d', '63262f48d791fcd6', '043c472a01d961fd', 'bd4bb54ba33db61a', 'a34fd0bb1384384b', '3b7204cf5739a9c3']; context = [[184, 267], [38, 105], [5, 68], [52, 96], [17, 69], [0, 53], [0, 67], [1, 61], [11, 64], [0, 43], [4, 65], [4, 48], [13, 67], [156, 212], [8, 62], [22, 103]]; loss = 0.015036 low_pass_filter = 0.300
+Epoch 0: | | 20619/? [3:36:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 20620; scene = ['30073241129f1b45', '9aab81a10733d402', '136699691d5ac532', '4a7b8ecb8a4b6c8c', '496c7b6f41acbbbd', '05bed79128a7bdcd', '50680cca919e949c', '670996a0c92e881c', '41fdca291bbdd214', '09f50652cb821e5d', '348169b38c2b7502', 'f242c906503f05e9', '0cd856b59586f55f', 'ca7b32d2ca5c8776', 'f5488ccee2266a6e', 'a4cc10dede2eba84']; context = [[112, 166], [22, 103], [13, 57], [116, 177], [164, 233], [1, 61], [5, 71], [7, 62], [9, 80], [11, 77], [83, 160], [2, 54], [175, 242], [18, 86], [10, 75], [3, 46]]; loss = 0.016527 low_pass_filter = 0.300
+Epoch 0: | | 20629/? [3:36:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 20630; scene = ['ac0f95664c3961e1', 'f04477958cf96d00', '548abd0878bfb231', 'e95b823c237872bd', '941e4f4114b4f932', '88c027f2e044a945', '4bb641c3e5c902e4', 'a67e709b68b7163d', '723f94d150ab09f2', '8dccacc5fe8bf81a', 'bdf562da5cc7475c', '5a9672017ab85918', '31240f5e4b708132', 'c3699518391f8907', '48c804cdf23efb75', '7e34a8e57c879465']; context = [[18, 68], [11, 67], [0, 44], [56, 137], [30, 96], [60, 109], [86, 129], [15, 78], [3, 86], [48, 124], [27, 89], [4, 71], [42, 88], [1, 48], [61, 129], [17, 87]]; loss = 0.014689 low_pass_filter = 0.300
+Epoch 0: | | 20639/? [3:36:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 20640; scene = ['e787931493aac604', '003908a8fa818d50', '336f7018bed111ab', '7703f6f3dd2f91ef', '71783d872a2ffba3', '099e97edda52c612', '5cd7dd9635fbe7a3', '51f38ab4c2b552b7', 'cef4168f6ec0b88f', '426b421bb992651c', 'f588ea739564c96a', 'f36581e435eb92a5', '1ef4450999f0e6a8', 'a0aa55abb59b70e2', 'c8557da11d7874e0', 'aaeda995507b804d']; context = [[37, 86], [0, 72], [3, 79], [14, 75], [10, 82], [47, 111], [6, 73], [4, 76], [79, 123], [8, 66], [59, 117], [0, 48], [37, 89], [139, 199], [25, 105], [24, 69]]; loss = 0.015738 low_pass_filter = 0.300
+Epoch 0: | | 20649/? [3:36:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 20650; scene = ['baaba9c7644ef952', 'b4bbab891a72ff1f', '55671e2db4657b00', '390c8df752d7b22e', '05846e2bbc1ea5e0', 'c4bfdf6f3a6c774d', '60f92bcb07109c4a', '0edc9f32da048ddf', '756790007006f209', 'bee353d655e1bce8', '388003e3d9297779', '6cc3d1993764ca84', '6a65a7a43a53f22c', '17d19d1d5684d370', '826d66774dca5653', 'cd8277ba1d433bb2']; context = [[127, 210], [113, 179], [101, 149], [54, 130], [7, 80], [27, 89], [3, 87], [72, 133], [5, 51], [70, 128], [15, 89], [50, 109], [12, 58], [9, 55], [4, 52], [128, 174]]; loss = 0.015199 low_pass_filter = 0.300
+Epoch 0: | | 20659/? [3:37:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 20660; scene = ['3de83835be367bdf', '23455f0f5d2567ec', 'ee900fdc0e91edc5', '1715b52a913b953a', '930445560df8678a', '2558560e4ba11930', '9a5ec225cc655d4b', '2024b4f262746dd9', '72ca9d448714efac', '783a62439d03c764', 'b8a22214c93484b4', 'c57e6a4defebacff', '8888284d5842e20d', 'c58fe96a6470ade7', 'f26265876d49f8eb', '195fc11ccfc6373c']; context = [[2, 72], [2, 84], [22, 66], [56, 103], [4, 62], [26, 73], [115, 165], [4, 69], [16, 76], [44, 110], [42, 108], [16, 63], [3, 71], [82, 144], [25, 97], [0, 52]]; loss = 0.014494 low_pass_filter = 0.300
+Epoch 0: | | 20669/? [3:37:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 20670; scene = ['907ddb8b6f1f9c48', '3059143db5001bd6', '2fed94c1168e0ade', '3d02e44b2d868584', '6ec4558fea67e2b1', 'b4e6410249f6a75b', 'db74b5eb51b2ed26', '314c16c63fcaeb19', 'f07e1cea8ac5ce94', 'e65224a75999d5b1', 'a47fa740e18e872a', 'ce2f35723c7978c0', 'dc10b2286a055d24', '9f8ece2ca66329ed', '2bf0ef87be3c8f31', '7b87f392edb96ad1']; context = [[7, 51], [45, 115], [7, 79], [27, 83], [4, 65], [153, 235], [0, 44], [9, 74], [47, 126], [80, 156], [1, 71], [7, 69], [169, 246], [160, 215], [34, 111], [5, 73]]; loss = 0.019131 low_pass_filter = 0.300
+Epoch 0: | | 20679/? [3:37:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 20680; scene = ['81c21583062356a9', '9d1f5957211056b8', 'd7ecf657998ee676', '38b9f9740e2b68ae', '7ff6a746540ff73e', '05eefc30d18c4cdf', 'd60ef5aa38122e8c', '7082fd777e222748', 'edfa8f13136b2969', '7ec7f5a09683915e', '4375fc375ab1d327', '7c106dbf0d98767a', 'c71f87337252c149', '34fcb5242c01a1d4', 'bb81975fba728ff7', '6b50b3216c960472']; context = [[94, 154], [5, 55], [0, 55], [12, 80], [8, 63], [194, 257], [12, 56], [69, 137], [194, 271], [33, 86], [118, 193], [0, 56], [4, 87], [36, 90], [24, 93], [65, 134]]; loss = 0.015577 low_pass_filter = 0.300
+Epoch 0: | | 20689/? [3:37:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 20690; scene = ['378755cb1a3356e5', '06651a8cfc81ecd0', '504a6270d098ead0', '78bf163b6636f51e', 'c9c57f37b367d23d', '18e6ec722df65c3a', '8c0dd4fb9f7d904c', '9a5226d734117ae3', '69711e911821d37e', 'dfcd88cbc69085a5', 'd9547a0401062a0c', '806a90bcf60f7e6c', 'd1f1099b0a428268', '5c160981d97349b1', '26ab7013632ded77', 'e37711006fc617e8']; context = [[2, 65], [40, 89], [2, 48], [123, 172], [0, 70], [52, 111], [31, 84], [95, 140], [11, 64], [16, 84], [22, 70], [179, 246], [5, 64], [3, 71], [21, 90], [156, 217]]; loss = 0.014910 low_pass_filter = 0.300
+Epoch 0: | | 20699/? [3:37:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 20700; scene = ['c92ef5fbc5fa1ba2', '32df185121315429', 'c874ebccecfe6add', 'f729fcce20f5e06f', '42f231e9226b5764', '972be5d0267dea37', '224f92dada695b8e', 'd5235962a9065594', '8a53ce8ec1601e8e', '6c8fe33163da0e0f', '01438569da2803c2', 'cd415af73e3aefbe', 'f918fa4d93837316', 'e100c11918671a33', '4891a508d7a3262f', 'dd086087400ad408']; context = [[7, 82], [15, 92], [29, 91], [32, 81], [45, 120], [47, 120], [13, 73], [211, 276], [5, 78], [26, 103], [111, 166], [19, 63], [26, 104], [13, 88], [102, 145], [8, 76]]; loss = 0.014615 low_pass_filter = 0.300
+Epoch 0: | | 20709/? [3:37:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 20710; scene = ['f521ebe83056babf', '8d1aba7a0d83fb23', '9e2a620bf0030ecd', '4b6c22c6b4bfc460', '020b1d941cb8e03a', '97922c05a252718c', 'b1c3a59a1ab3a0bc', 'ead8948883bfe2c4', '51d9f2a11e49c9f7', '5265d863c34ec86a', 'd1f2f6605b45e92e', '5d7e595f3cec8776', 'a9c850ff04f98a7b', '2ba4be20ff064320', '6f8bb61cc8582fa8', '1684d316bfca1c45']; context = [[144, 202], [26, 102], [153, 226], [218, 270], [144, 195], [52, 118], [13, 79], [6, 88], [11, 88], [116, 195], [7, 90], [24, 81], [36, 90], [3, 87], [0, 62], [36, 104]]; loss = 0.012301 low_pass_filter = 0.300
+Epoch 0: | | 20719/? [3:37:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 20720; scene = ['be3aa9d65f0de1bd', '30a737763bd2a911', '1e53861f346b0f7c', 'f81aac43ea74ff44', '775c315fd0e27ccf', '85cc8a0d62c58ffe', '7e048fb2e375b4d6', '4a09a498e4e472ef', '65d335b19bca4c2d', 'c0f4554c18a09b34', '42fe750f91af0925', 'bec7b7bd2fa60eb3', '607224e86f068935', 'b63b97f07fbeaf24', 'fc8aa2c335c15eb9', '506fed97ede5adbf']; context = [[2, 82], [16, 94], [1, 62], [4, 65], [33, 94], [22, 83], [49, 118], [155, 200], [41, 106], [31, 105], [69, 128], [16, 66], [28, 81], [103, 162], [123, 171], [39, 86]]; loss = 0.014886 low_pass_filter = 0.300
+Epoch 0: | | 20729/? [3:37:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 20730; scene = ['026b6ccfcd08ea80', 'fb0040c94bea2a4d', 'ff606885fba519dc', '282c34d21fc592cc', 'ca2a9b1a67bf86d1', '9f4503d0d8742970', 'c260842ca527acec', '874678686325796e', 'ed4f2169411b4c39', 'c0d6891369eefbf3', 'cc599b021804a5b3', '0d0d5f86ce65d2a0', '95a3ab26d547d0e2', 'e228336cfbfcb179', 'd1e55bd1216aa8fc', '1e485ad21b5e58f9']; context = [[107, 171], [128, 176], [136, 220], [50, 118], [26, 75], [53, 101], [6, 68], [21, 89], [202, 277], [13, 84], [14, 72], [46, 120], [32, 89], [34, 113], [109, 166], [172, 218]]; loss = 0.015239 low_pass_filter = 0.300
+Epoch 0: | | 20739/? [3:37:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 20740; scene = ['4a5e619c6f01c41e', '69bf6e0583b4603e', '0b82d6fdf7a104ad', '04493f75414c6933', '51252022ddf74fb9', '3c859adebfbf9648', 'b1f3e643fb405e5b', '1a306618ca817952', '2431adcdd3aeeff3', '7549b399afe41ed8', '6cee6d0abdf16185', '05324a471dc26032', '4b2bfb703d9388ec', 'c1620f692f3ed5de', '20e75efc5d5dad23', 'c1001ec26226f680']; context = [[1, 83], [53, 112], [177, 246], [41, 89], [175, 251], [31, 81], [7, 59], [8, 65], [1, 76], [42, 105], [0, 50], [104, 167], [25, 81], [1, 47], [30, 105], [25, 97]]; loss = 0.018568 low_pass_filter = 0.300
+Epoch 0: | | 20749/? [3:37:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 20750; scene = ['d90a0c2adef1eb1a', 'b7019be1d94ff06c', '9f0597b818aa04fc', '43f3809e04ddf7f3', 'd07528c1136878f9', '41101beca852f72d', '3d38b2a666993c21', '0040ff89cd583609', '1fe4e7503bc05521', '84748b54ef68ebed', '4cf65a1289e50ab6', '4cfd2266eb4871a6', 'aa3ecba2e35dc6b4', 'c519d78411b0cd89', 'f1d1f2762f8c37fa', 'a9ca79ed8588a002']; context = [[76, 153], [156, 216], [2, 64], [5, 64], [22, 91], [12, 75], [0, 43], [19, 97], [24, 70], [8, 65], [56, 122], [1, 52], [42, 89], [13, 81], [15, 86], [8, 77]]; loss = 0.013864 low_pass_filter = 0.300
+Epoch 0: | | 20759/? [3:38:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 20760; scene = ['5ac7e788e87c8298', 'ccc6fb3c8d392c3e', 'ff9a71b896040dcf', '0e6036743dd36760', '832975ea48dd655d', 'a038e82a65e8eeb8', '557c97ffa423b734', 'e495d92951639e09', '62705123812b7a6d', '0d486851b1335c0d', '593420e12b90df94', '224a8415c71b12db', '1711f2c9119cd378', '428d081399a40b67', 'b69e75125d8bc0a7', 'b1a06f9a89eb6ba7']; context = [[101, 158], [15, 72], [59, 141], [25, 92], [14, 81], [167, 243], [17, 61], [18, 69], [0, 49], [2, 46], [57, 104], [16, 77], [5, 74], [36, 111], [204, 261], [0, 72]]; loss = 0.014923 low_pass_filter = 0.300
+Epoch 0: | | 20769/? [3:38:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 20770; scene = ['2f0247e8c61a0a1e', '612e01c3b322c6c9', '7244471b73942d20', 'a40eafa51fff8699', '70946b67580941ca', 'b94ad0caa8ff47bc', '0b3621d34308d570', 'eb6ed96d7b06c526', 'eea0496248cf7724', '35a67ce0f0a56dea', '911ec6ade4d0709d', '7faf1c350d3f1f12', 'a069f40a4a017b66', '2289780f7fdb5091', 'e261a4726e8dbf08', '5746d03325bf70d3']; context = [[170, 226], [54, 98], [64, 119], [24, 103], [27, 105], [35, 90], [42, 99], [4, 55], [2, 65], [1, 44], [5, 55], [7, 86], [69, 119], [19, 93], [4, 52], [17, 69]]; loss = 0.014281 low_pass_filter = 0.300
+Epoch 0: | | 20779/? [3:38:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 20780; scene = ['9b4d466924c40d8b', 'ede232ddb1498db9', 'ba00608cd351deb0', 'ee93d0c6e61bb08d', 'e5884780d0c4b903', '32f1a97335017d58', '4b6cbf1f4c87d918', '013c0dd9d0f20a96', 'c6ebf1a0acc6844d', '86270bfca57f93f8', '5c6254d344551863', 'ef87d9f4cb9ebe3e', 'd9aeba3f7cbb8b9b', '266dadce3be1bb39', 'ec22f0604d874d22', '755f4a06377d1633']; context = [[13, 90], [7, 75], [11, 94], [190, 256], [52, 132], [16, 70], [42, 94], [38, 90], [91, 166], [18, 68], [39, 121], [18, 93], [6, 56], [17, 91], [19, 71], [4, 81]]; loss = 0.018200 low_pass_filter = 0.300
+Epoch 0: | | 20789/? [3:38:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 20790; scene = ['0ab56001fc8803c2', 'c6f4c3aa65a88c5f', '9c9c480a9144cd77', '8b8ec84173bff4fe', 'bf281c3beca8dcda', 'c1c90a497313a731', 'fa77a863c2da0ea1', '0a797ebdda899242', 'b2b502239affc312', '30d1ac6ee0b765c6', '7fe21cc660012e7b', 'd9e3fb32eda885be', '8b3902074e71704e', '2dda31ef21375bcc', '69c0ab37cd0b4038', '7989113a25b74a5a']; context = [[160, 226], [144, 216], [5, 75], [24, 108], [4, 78], [16, 64], [70, 113], [216, 271], [23, 89], [209, 262], [4, 75], [2, 54], [1, 49], [18, 101], [2, 47], [48, 98]]; loss = 0.017641 low_pass_filter = 0.300
+Epoch 0: | | 20799/? [3:38:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 20800; scene = ['de832a9e5c890869', '651dd13b1dab9b01', 'f143d7c9ff7c1234', 'a09b6b926b5c892e', 'aff0584384b9bb8e', '62c6c5f93e65ccd8', '3812f04df4ff98d4', '9beaf5d0ae3a7903', '581dc4530a0333dd', '47c705d2d6d65b23', 'acaca32060883616', '68d1dfc42a46a73a', '176f71a3cc338d8f', '9452f1c14571a2d4', 'f0ff115bde902220', '089c0a30c1f1841a']; context = [[1, 80], [5, 82], [36, 81], [11, 61], [115, 166], [87, 135], [15, 65], [69, 146], [35, 91], [13, 85], [33, 107], [77, 141], [49, 116], [126, 176], [8, 76], [154, 209]]; loss = 0.016254 low_pass_filter = 0.300
+Epoch 0: | | 20809/? [3:38:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 20810; scene = ['fb574aa41468e611', 'a37747c6526efa19', '6d322c643d809c22', '61d3b1c889816a08', 'e1dbf381c5e6062f', 'd0d681abd0e8178d', '45c00276fa244cee', '45cda196e1a1d642', 'f221667620ef606d', 'c1f2837f49706121', 'e5dd11aa4e4aef7d', '84ac6a3e4907b152', 'ac1c27c8a47f32b6', 'cf893de152af4849', '3d45a7ecb75b1c0e', '21a820e7aee978c0']; context = [[31, 103], [76, 131], [66, 144], [17, 91], [147, 207], [130, 176], [137, 211], [3, 48], [9, 93], [109, 176], [15, 70], [11, 67], [36, 91], [47, 90], [130, 179], [59, 126]]; loss = 0.015347 low_pass_filter = 0.300
+Epoch 0: | | 20819/? [3:38:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 20820; scene = ['3b0c6fee0faecce2', '74930e8389574a41', 'b6cfc2be371fe012', '84103108f3301520', '1e69c0ba9e7fb023', 'c21f6c67e7509e1c', '4bf8f4e620c27a0e', '452903cbbb0f87db', 'b5dbbbf30fc7a602', 'e0bdb159d8c138c2', '41ba1a6b8d923830', 'cf7ae8e62157a6f5', 'd56ac01183d2f244', 'de7a63a9ff99be70', '41e72019df0f1014', '1ca246326f3ba534']; context = [[2, 67], [57, 127], [20, 86], [63, 129], [1, 65], [19, 84], [4, 66], [36, 99], [0, 51], [10, 71], [82, 136], [26, 83], [150, 194], [111, 180], [28, 89], [75, 125]]; loss = 0.015196 low_pass_filter = 0.300
+Epoch 0: | | 20829/? [3:38:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 20830; scene = ['bcb68900df3fb3c7', '7a8d8426e0d1c1aa', '3ff8fdd10bb511c5', '9467c3431e0e586c', 'f8fb4c5f59b50530', 'e741fa80ebe93837', '7a1781db0d9a2f70', '2ec8edfc07c8841f', 'b18b0e59cc8d6d53', '1c50722fddad9593', '4385a3b16d321702', '28da1359e6e9937d', '11e65baf9b07535e', 'a00596889eff80ec', 'a0e621ae35148a18', '27b9b6d8520b476c']; context = [[14, 65], [13, 60], [0, 43], [14, 67], [3, 72], [0, 59], [99, 180], [0, 49], [32, 85], [15, 63], [2, 55], [174, 234], [77, 134], [65, 147], [88, 162], [131, 175]]; loss = 0.013216 low_pass_filter = 0.300
+Epoch 0: | | 20839/? [3:38:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 20840; scene = ['c7b3410412698cfe', 'ac7426f5db6b176a', 'c93a3485a63a06cc', '50b7e0408ef2df49', '12590c946a642acd', '3388d14433e04e9b', '8a803ac9260584d9', '2b03b18b7d2d3a98', 'beb770324d0f9760', '194bbd8919fa06af', 'fdd724537c1a4c3b', 'c0762ed9f04975c6', 'ff302ea5bc2cabdc', 'd53bea12fd3fb6b0', 'aace48697cb07a11', 'f2733e8cc2306488']; context = [[13, 90], [3, 64], [6, 62], [0, 55], [33, 91], [37, 87], [0, 78], [6, 66], [2, 54], [94, 176], [3, 65], [160, 229], [24, 73], [17, 97], [14, 96], [103, 183]]; loss = 0.017656 low_pass_filter = 0.300
+Epoch 0: | | 20849/? [3:39:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.0train step 20850; scene = ['3dabd510c600df01', '0fa42e1277bcc157', '69a06312fb2648aa', '313fde042dfb3902', 'd5ca6669bffdb84a', '667ffb62ae2ac178', '30f3c5122980f223', '77feeb22ae67bb44', 'c915fd796ad7a439', '5525495e2e2170d0', 'a01ed892340b8f91', 'a1d0953377697894', 'adcdc8ec35ee929f', '4aefc4abf5184050', '4e5de1962e0dc852', '8e8c845df76e43dd']; context = [[15, 100], [26, 97], [45, 130], [89, 141], [12, 76], [14, 58], [19, 63], [33, 78], [59, 144], [14, 62], [1, 46], [77, 122], [14, 92], [1, 50], [46, 112], [38, 101]]; loss = 0.016382 low_pass_filter = 0.300
+Epoch 0: | | 20859/? [3:39:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 20860; scene = ['cc2a04f5173a1037', '10ff4d2a82201191', 'f6524ab7935064b1', '6f7fb82bc9ee59c0', 'a0846eb1c9a514af', 'd2a160a0c95c5a3c', 'fbc9e1286569052f', '5567dda0eb061dd7', 'fe263d56b953be62', 'bffe648daccd2234', '5449ea452c7e322d', '1e5cab40fc44df73', 'b3685a3f8935befb', 'b27081d22742e7d0', '73e7fc9f7a01d311', 'ca0bbc80b5844b52']; context = [[13, 61], [22, 76], [2, 71], [96, 139], [7, 69], [65, 119], [0, 48], [3, 68], [123, 195], [29, 105], [50, 132], [18, 80], [4, 83], [215, 277], [59, 137], [10, 61]]; loss = 0.014128 low_pass_filter = 0.300
+Epoch 0: | | 20869/? [3:39:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 20870; scene = ['26f9613bbfe4583d', '2a93af38bd81ae80', 'be2aab55666bd321', '1aef95cbf32c6afc', '18c4564eab8b960c', '95452f9250f1d10b', 'f63d2df8871ce70c', '8ad3918394be8d98', '1643b6a11a819f37', '1aa5fdc9ff855ee2', '5a89880eb9996290', 'ba7019268cbd976c', '780656b1732d5e8c', '121b9ec6234a4cba', '380aa8c6d47a59a7', '3655e1f5a559d79c']; context = [[24, 88], [48, 96], [193, 253], [22, 107], [39, 113], [10, 54], [5, 49], [7, 53], [9, 64], [1, 69], [77, 121], [143, 190], [142, 205], [27, 106], [19, 100], [12, 83]]; loss = 0.013518 low_pass_filter = 0.300
+Epoch 0: | | 20879/? [3:39:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 20880; scene = ['66327863e360188c', '74df0daf59313228', '3dbac4de5b1e23c8', '7a3ea208dc507a42', '0a1abaa6ea233a54', '68df89951fc13293', 'fb5f6ef461418097', '43c173591e7de4e9', '01560d6cbaa0676b', '2bac81068ebb0b09', '73f6ac2c4b2d44f3', '22aaa7d6980b7c1d', '19d3d89506b5895b', '25b3eb02b0915107', 'adae27b073e92904', '7648e09787b5ab2d']; context = [[6, 65], [3, 81], [68, 117], [5, 49], [10, 70], [32, 80], [8, 74], [82, 161], [3, 49], [3, 56], [84, 163], [7, 90], [2, 53], [5, 63], [5, 51], [0, 54]]; loss = 0.016861 low_pass_filter = 0.300
+Epoch 0: | | 20889/? [3:39:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 20890; scene = ['994a09c04868abe9', 'a1d6ca5e8fa19501', '912649b3ee94f486', '516c8c55994340c1', '1e1644e076681a88', 'c54f1954284a72db', '1d9692d06299f632', 'd1d9e2a0e21a1a1c', '5dface4267be6f4b', '3471777d4679f2e4', '2301bf4226984b79', 'dc99cb139204619f', '7dcd7e5fcc21f57f', 'ec965b86f34bd052', '462236c56412e890', '431557cf5a0bc85d']; context = [[40, 100], [7, 56], [28, 91], [130, 200], [7, 72], [15, 69], [8, 60], [5, 90], [45, 92], [1, 56], [60, 136], [14, 57], [69, 120], [3, 51], [23, 77], [5, 62]]; loss = 0.015340 low_pass_filter = 0.300
+Epoch 0: | | 20899/? [3:39:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 20900; scene = ['5f6ff1f6eeba6fcc', '889363eed9b13277', 'cb2361e8fa21f3e6', 'ec1e22ee6784191a', '87b3478ab859b1c8', 'bd7b99bedcc90f02', '05c1700c09437b52', 'e4284ea25d47d0e6', 'b38df35ba9835cf0', 'a26b34b70b0aabcf', 'b7e386ba9ef4dac3', '04db935b17a03775', '4f31d4577d06a270', '45061041e453e182', 'ce96c7553f3d3c69', 'f100eb1fecae924b']; context = [[53, 119], [31, 107], [49, 108], [72, 129], [13, 82], [8, 52], [120, 201], [118, 165], [9, 65], [25, 86], [123, 186], [4, 80], [0, 44], [187, 271], [3, 61], [203, 263]]; loss = 0.015768 low_pass_filter = 0.300
+Epoch 0: | | 20909/? [3:39:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 20910; scene = ['80fcb13c8b18ee23', 'c5dbe4079d2fca26', '24fdad2594ac7d96', 'c538e33226d65989', 'e151d6aa396bfd1a', '2c59a0d732f7a328', '9cbe071e966cc8b5', '8bc85fdaaf8e8473', '5c4e65ef43430b11', '62b96c0759cafb76', 'fec57bea1827bc6f', '46f6304d4b29c976', 'aa054e5a77b2fe77', '34854bce89063360', 'a2f5237c4ff5cc75', '02b09bce2ef84fb0']; context = [[0, 54], [39, 87], [66, 141], [0, 59], [20, 105], [29, 84], [62, 136], [56, 117], [60, 124], [22, 70], [119, 190], [8, 89], [41, 86], [44, 107], [39, 108], [184, 245]]; loss = 0.015592 low_pass_filter = 0.300
+Epoch 0: | | 20919/? [3:39:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.0train step 20920; scene = ['53c54932758974ee', 'a39e1687e44f7eb3', '5751251801d5eb33', 'de05d4ed34195978', 'c184945b52f9fdf3', '211b3170fa4a2ead', '8b95bc9e3b662617', '4fed0ca3762d9020', '5888770aaa4a968b', '80e41e132e60ee48', '5bf44aec719f115b', 'e37b686fba91f36b', '16be8894b2a980f5', '610a5e383175e69d', '908890e51f229b7c', 'c089e82911932fcd']; context = [[102, 185], [48, 123], [9, 75], [119, 193], [18, 61], [6, 87], [167, 220], [20, 83], [28, 88], [5, 81], [17, 92], [10, 60], [12, 55], [12, 69], [42, 126], [56, 116]]; loss = 0.019418 low_pass_filter = 0.300
+Epoch 0: | | 20929/? [3:39:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.10, train/active_min_children_step=1.0train step 20930; scene = ['bde49071d2088850', '0db36affa33787b3', '2793fb40fde74ed1', 'dfb8f1b208a8949f', 'd33a9e90e1416efb', 'f0a4a4cb065efa53', '9e3a42fbf9b526a0', 'c44a4c1c3e9b3cc3', 'cd1d18dfeb3ffea6', '65c4746a5f0a43b7', 'd823f528acb278ae', '3ddb7ef38f509da8', '77ca6725a5e07bce', '39343936591c28de', '90c1483c736e3b41', 'b10e2cfbec255d44']; context = [[8, 75], [23, 92], [41, 104], [38, 118], [18, 92], [1, 54], [41, 107], [30, 87], [32, 95], [41, 105], [28, 79], [104, 182], [17, 78], [13, 81], [22, 71], [1, 47]]; loss = 0.012795 low_pass_filter = 0.300
+Epoch 0: | | 20939/? [3:39:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 20940; scene = ['f82b6d49752b0776', 'dc0c9d0997f82183', '3d0c6eacfc39aafa', 'cd391aa15ffa53d5', '76f8c934d299d0aa', '6a5ba78f4d0bc69c', 'a4776e96ce74edc0', '7fc05882bd1f775b', 'ff2008cd674a7df5', 'ef84137ab9a199c7', 'ea6bcdebb9c327b4', 'f51ed36e0153ec16', '84127fdfb3489170', 'c5f6a81e25ff39bc', 'acfd111702e90c2c', '96db83c85acb086e']; context = [[3, 65], [26, 90], [188, 254], [21, 96], [96, 148], [89, 151], [5, 68], [28, 102], [0, 68], [0, 46], [26, 105], [6, 61], [42, 103], [38, 104], [22, 72], [3, 83]]; loss = 0.014706 low_pass_filter = 0.300
+Epoch 0: | | 20949/? [3:40:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 20950; scene = ['5e9991d19e01f177', 'ac28d515505f5fb5', '8c495b5341bc069d', '2cea12f37e8aff39', '14cb2375e73a3bb2', '0a8557008fd55c9d', 'b733bb0772db7fed', 'dc4642c413a86efc', 'a3fb8e5afd05a541', '3582975fa07270f3', '63df03ce900ba45f', '8b33508d134238c0', '58b1d2b874df8f6c', '9bc4789064dd12a2', 'b2f344283c15005d', '427f46e02cb986fe']; context = [[24, 72], [1, 44], [0, 52], [24, 95], [29, 103], [20, 93], [14, 99], [15, 66], [5, 54], [3, 52], [73, 118], [21, 100], [16, 76], [100, 147], [7, 61], [5, 53]]; loss = 0.012878 low_pass_filter = 0.300
+Epoch 0: | | 20959/? [3:40:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 20960; scene = ['8b892aa99ab635fa', '2278d80e7897dd5a', '728c5f0905445ad8', 'fda4975df49b4ea6', '9c91f8599db23043', 'b1bb68bc47ee5b68', '91c4afc187a086fc', 'c7469d734caa6589', '80d82fe6cd88186c', 'ff8a982f7807b368', '3f6274ca0dc5dbb0', '8f676671dce6a340', 'e7b82ba02f9f37f4', 'f69e5ed85946337d', 'ff5926af50275b6e', '3cb5133227ba02e9']; context = [[11, 82], [2, 46], [49, 108], [120, 204], [3, 67], [7, 51], [29, 100], [13, 71], [30, 76], [3, 81], [28, 96], [101, 144], [6, 74], [55, 115], [10, 76], [1, 45]]; loss = 0.012221 low_pass_filter = 0.300
+Epoch 0: | | 20969/? [3:40:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 20970; scene = ['8bf67ed3d8a5a40c', '32322b4d2697fbe3', '7befac8bda5a40bb', '11ed773aa2db9798', '8df36fef4fb76bd7', 'cc66dbb6ad5276a3', 'b5be3cfa849d6bc9', '40a3f4f9389dd20c', '883b428276b20122', '02e09836f8b1b780', '2dcd1e94db751fa0', '4203a06d618eeb97', '9cd53c2e1832a847', '399668567ff33ad7', 'fb3a12e72b856bd0', '6e6fc53d3837b3ab']; context = [[58, 128], [9, 64], [101, 158], [25, 75], [4, 79], [24, 87], [22, 82], [41, 97], [20, 64], [112, 181], [1, 61], [69, 119], [2, 87], [25, 102], [88, 162], [17, 93]]; loss = 0.015757 low_pass_filter = 0.300
+Epoch 0: | | 20979/? [3:40:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 20980; scene = ['547a595ec6671f74', 'f67ee51c76a6aa33', '941a34a5fe903815', '6bb71ae77f76b7ef', 'b2c3bbb92492ea30', 'c6e7d2560cc98ddf', '8290c21ca69361ec', 'bae66b8175d11647', '8b8a871ef6c8045b', 'd678738b34c57d8a', '57f5506e3257f4b2', '3765ecbfb3a165bd', '6c3a8d059e82f912', '3691cd26c7100116', '2717a1836dbb53d9', '344b8a6319bec5ab']; context = [[2, 70], [45, 88], [43, 120], [12, 97], [43, 88], [1, 44], [60, 121], [1, 86], [41, 115], [18, 73], [114, 164], [154, 200], [20, 86], [26, 96], [15, 66], [140, 196]]; loss = 0.013104 low_pass_filter = 0.300
+Epoch 0: | | 20989/? [3:40:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 20990; scene = ['4a1a9c439eec4421', '91cb408f09331728', 'd42aeef963416086', 'd33f35a46b270c6d', '543f5621335212a7', '8e87df9a5084ec87', '648c4e302d8be549', 'b2262395c0d1bb4d', 'c315feff5caaf789', '704f321e2f7ae62f', '82d16f436a69a71c', 'dbb0eec549cb5e45', '117c40ed2a9e43f3', '1ab9594c7015ecdc', 'c0c21b050511ef76', '6a770609acf21a54']; context = [[69, 130], [58, 104], [57, 126], [4, 62], [43, 91], [110, 166], [8, 92], [127, 181], [54, 127], [38, 100], [1, 45], [9, 91], [7, 65], [11, 57], [36, 108], [5, 89]]; loss = 0.012411 low_pass_filter = 0.300
+Epoch 0: | | 20999/? [3:40:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 21000; scene = ['a71d3ad52001cc01', '11cd42372a8db93d', '8ad9377ac68e1fc4', '55ec1b2b059927f6', 'd67abaa68358a77f', 'd24ec4ed55f0cb9d', 'e525eb7d51d9b9a5', 'dd1ed2b979708724', '9cd8827c2071b34b', '9adbddc46e878d03', '5df06dbaf3a4730a', 'f42f16681789b5b9', 'bffecb5bc5547b20', 'bdf0bfb2f2c6c21f', '8734c4ed51cd8e4a', '202edd3a4f885db8']; context = [[18, 94], [63, 136], [126, 179], [175, 239], [8, 57], [30, 93], [12, 81], [82, 166], [98, 156], [226, 269], [34, 95], [0, 55], [73, 116], [2, 48], [51, 100], [32, 111]]; loss = 0.012701 low_pass_filter = 0.300
+Epoch 0: | | 21000/? [3:40:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0validation step 21000; scene = ['a93d9d0fd69071aa']; context = [[19, 74]]
+Epoch 0: | | 21009/? [3:40:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 21010; scene = ['3e9becce3849d77f', '4099447674fb0515', 'abc9cfcdc52bb1ea', '02f1d3b1d43877df', '20185dc6c94840fe', 'e372c3adfad9f670', '925e2ef503cbd738', '44afbe117e79b0cf', '4f9022892bcbd383', '4a72bd1aef15ea48', '9eb010e5e0fcaf41', '0cc3ceffb6ec9c37', 'a9f6bc6969653bc2', 'fad770f517586475', '00087de44e487f80', '2b392cd12ee7d64a']; context = [[1, 73], [3, 67], [64, 146], [65, 114], [6, 57], [24, 104], [7, 53], [25, 92], [49, 101], [30, 81], [6, 74], [186, 252], [126, 202], [7, 88], [3, 54], [0, 73]]; loss = 0.012818 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 21019/? [3:40:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 21020; scene = ['f6aed65bf9ebd5a9', '38f562fb2b2ad4e0', '8d6ceef8cd44e71e', 'f010f0ed38a58b05', 'b0a195ab00e995ff', '9d5bedf2d85ca0b9', 'ef240c57fead88f4', '7092c35f3c41972d', '6167e255440a0c6c', '1a4c46c32d5e962b', '077789dfa30a67d4', 'e64fdf6bb50c0a7d', '98e600d334f4fe35', '8996bf2348df5d5a', '7cdd9a947c658d8c', '0fbc7db19bff42d9']; context = [[49, 109], [104, 154], [12, 88], [58, 137], [17, 68], [17, 61], [39, 121], [92, 166], [14, 79], [93, 173], [8, 57], [36, 99], [19, 79], [28, 102], [5, 71], [2, 70]]; loss = 0.013768 low_pass_filter = 0.300
+Epoch 0: | | 21029/? [3:40:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 21030; scene = ['4cff16e51b60bc1c', '930f0a917b4cfb3d', 'ff26955ac80e19c3', 'cef967e6c2895c19', '8f8fd92008130071', '06a2e5bec5c290ff', 'cdd61981792b29b8', '0723036aaffa8c75', '2370a07a0d1e7930', '054deb949142152f', 'f15ab5fa73a8b30f', '844febece1121b36', '4aa5113cb53c2951', '07251deb1023bf31', '321dd5398f1a2288', '082ca59ddf8d2cf5']; context = [[127, 206], [1, 44], [16, 71], [34, 86], [0, 43], [8, 79], [36, 113], [36, 79], [86, 136], [8, 52], [33, 86], [23, 70], [68, 116], [88, 163], [0, 68], [37, 80]]; loss = 0.015248 low_pass_filter = 0.300
+Epoch 0: | | 21039/? [3:41:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 21040; scene = ['5fc78da0b2bb89a5', '34eec767c46f458d', '9232ef6ebf4bc047', '7032a676484c319b', '3156073334262295', '6d067158613ae858', '87de365387d61409', '76d873ef5454cfc8', '87b5c9f499024815', '6c977851c159a936', '223a5d0e61cb7f89', '87a853feaf9f6aed', 'b8919377ab8f5552', '8fd9640fea8cf3c3', 'aa1df76bfa03ddab', '0b386825ee4147cd']; context = [[204, 275], [8, 68], [7, 80], [3, 62], [190, 251], [39, 111], [0, 51], [130, 187], [193, 277], [22, 72], [79, 153], [88, 138], [14, 69], [8, 86], [1, 66], [0, 52]]; loss = 0.013148 low_pass_filter = 0.300
+Epoch 0: | | 21049/? [3:41:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 21050; scene = ['3b21a07ae5de8202', 'a0fad2d7b2b26a76', '9071525e59b0f5da', '3aa7b6c24c37a9a3', 'f1bbcd848a212362', '03a58fa83025c7c5', '3fa8b5d99c8e3897', '22d42ccb6f6b29c2', 'dbbdd67bb58e7434', '3042b85c278f3af5', '81c7dc4d940db5f7', 'b0bd5aafae9d4ed1', '40ae6a25353e43f0', '3af749f2153f1107', '5e980e0a30d89f73', '01fe7ffb0ebe1f90']; context = [[43, 124], [6, 64], [45, 105], [5, 63], [2, 47], [0, 48], [10, 53], [10, 55], [69, 123], [88, 150], [21, 67], [34, 81], [73, 135], [154, 219], [22, 65], [7, 82]]; loss = 0.015157 low_pass_filter = 0.300
+Epoch 0: | | 21059/? [3:41:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 21060; scene = ['f1cfb383e8ffe58d', '700759139479b40f', 'c21970a30701dfd5', '9e591049019c2996', 'd1543ce8abd3294c', '3389d95fe43c8e5e', '068d85c0b47f4628', 'ea4fb83f87109ac9', 'cf784e584d2d33da', 'd29ff797dbc69ab5', '4308154957c1ef63', 'c10a042037a5a120', '594a53a4007ff3ee', 'be885aa875712dde', 'db9bc0ff275d4fbb', 'fc5c4244dd42b9c2']; context = [[2, 59], [164, 233], [20, 75], [94, 148], [41, 84], [8, 56], [42, 87], [1, 59], [3, 49], [92, 155], [0, 56], [1, 75], [9, 63], [65, 112], [3, 60], [26, 92]]; loss = 0.013512 low_pass_filter = 0.300
+Epoch 0: | | 21069/? [3:41:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 21070; scene = ['e9a6a38d1440dcb1', 'fd7330d4760ec59d', 'cda0604d020a5e08', '459aa619d3066784', '30ffc95908cb9277', '904aa79c9222e00b', '71edec55f938858e', '9a198a789f8681ac', 'f39e7fd0e8f5f7bb', 'ed96b438bf4f41bc', '166d39209d7cc4c3', '97efceb3be1bd8df', '640e53b0da14830d', '35e7870c4f60c02e', '4648b54a491a37e2', '835c947a070ff657']; context = [[37, 107], [83, 167], [16, 63], [9, 54], [107, 168], [16, 61], [200, 251], [23, 99], [43, 97], [6, 56], [37, 91], [28, 107], [11, 77], [20, 99], [138, 196], [74, 130]]; loss = 0.014819 low_pass_filter = 0.300
+Epoch 0: | | 21079/? [3:41:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 21080; scene = ['bfcc388041b60965', '642d3fb21f60cc53', '8f4411404d35c9aa', '102b393a88361a71', '677050e1ae2da818', '71d8d0a848667302', '99ea5cb9b803daca', '084a1a3fac0ab7c3', '35158f6e65bf766d', '9afdb3b4bad232a4', '4cbfaa52325775ab', 'fbf1d3c5991263b5', 'b0189789fe6bc9c2', 'fac20ccda46a7de9', 'bbb8483976a16ac6', 'f798bf110e50ae05']; context = [[63, 120], [48, 97], [15, 58], [12, 73], [11, 60], [29, 99], [19, 73], [0, 82], [26, 72], [83, 141], [31, 99], [10, 56], [22, 71], [7, 82], [1, 68], [112, 163]]; loss = 0.012342 low_pass_filter = 0.300
+Epoch 0: | | 21089/? [3:41:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 21090; scene = ['767a19530957b790', 'c09d7898ef37ba32', 'fa5dc3f82887cfad', 'f46d9b174fbfd403', 'e1d7b52a30d60b2a', '545f0bf834b0b19f', '7b6c709c0eb728b1', 'b55b27c9d8f7ad94', '4141f50192fca0a1', '0179a441837af0b9', '44f26d002b648c08', '177b664f6c8eef6b', '117d1c9fd462963b', '7001f2125bb0a274', 'f7dffb88e8919a7e', 'b20a4bb379340290']; context = [[49, 92], [18, 69], [31, 80], [17, 87], [40, 109], [157, 214], [53, 111], [13, 68], [43, 123], [35, 117], [35, 114], [4, 57], [24, 93], [5, 67], [25, 102], [47, 104]]; loss = 0.013422 low_pass_filter = 0.300
+Epoch 0: | | 21099/? [3:41:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 21100; scene = ['b489a5e69f2103d9', 'e2ba8a4cbe366a30', 'c4739a6b632f2588', '46f261198c91d5d5', 'd602f5daed73334f', '7d499b35c809b2f3', '0dd1d031a21641ab', '000d2139ad05dc85', 'fc2ad2a73c24bb7f', 'bcfb47fdd49eac62', '80c93f2de4900d46', '7becd7ae1330e9e0', '2cf78f93fd569aa1', '30b1dee06a1096f6', '24f7e93de4e8eb86', 'b933b6a20e0ac3d4']; context = [[10, 78], [27, 103], [106, 150], [18, 99], [95, 158], [15, 69], [6, 90], [12, 93], [119, 181], [14, 59], [0, 79], [154, 202], [36, 83], [21, 81], [2, 54], [120, 180]]; loss = 0.015149 low_pass_filter = 0.300
+Epoch 0: | | 21109/? [3:41:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 21110; scene = ['7b2f71462829b280', '75b546b0482c602d', 'f2a78c5c272a3009', '9900d32431eac9e6', '6e1dfabb4d26383e', '67d8efc474193da2', '7b2603917973d2f5', '0296dcc56c7fe3a6', '57859a70dfbd78d4', '0ce35beba18e98c5', 'a9661ea3b30c456f', '2d2de17e7552e897', '2edc486cc51c35ea', 'f4102be87181dd18', '86e922e5d4069d1e', '5f8c4fdda0cf8f5f']; context = [[111, 196], [29, 77], [3, 78], [18, 97], [47, 104], [9, 67], [224, 271], [35, 106], [130, 191], [40, 124], [25, 68], [22, 73], [109, 169], [2, 85], [5, 86], [27, 101]]; loss = 0.014190 low_pass_filter = 0.300
+Epoch 0: | | 21119/? [3:41:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 21120; scene = ['5258d714dbd81b7a', '4d40dbdbce44d5dc', '4dd89c9e62c601a2', '5ab82d98941fd59a', '1b29bfcdb2b14d83', '899a88c42d19562a', '8233b3467c6f4f08', 'a13f3056e60c07a5', 'd1a5538f3ea4bb56', 'a8ca6ec652f03504', '4ba8aab928daf0c7', '32078eb83807dbf3', 'b809f86166cf31b8', '2bf4a3ae29fde52d', '4564448b2f24c851', 'fdcb0a3c1394265d']; context = [[26, 88], [5, 54], [4, 63], [203, 263], [7, 66], [54, 134], [17, 64], [7, 71], [61, 127], [0, 43], [1, 67], [15, 59], [4, 86], [0, 63], [32, 111], [200, 268]]; loss = 0.014924 low_pass_filter = 0.300
+Epoch 0: | | 21129/? [3:41:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 21130; scene = ['d2a9abc9f488ab92', '07cdcf1e89921c1f', '3f53473da1f537be', '4af74f4ff7c54a9b', '3e5be575ccb0f6dc', 'dc077856d79ff04c', 'b1473420a788c688', '0f8ad14bb4088d81', '4a43e0185c382de7', '3a192914348dbd61', 'ab964b6b003ae5e8', 'd4ce31ac30a139fc', 'cee46b2523a45a59', '31f279e32e497154', '78f54b16f8204c3a', '6452d5b59b2695e6']; context = [[8, 53], [9, 73], [0, 72], [176, 256], [5, 58], [10, 76], [10, 56], [31, 82], [76, 143], [17, 66], [0, 43], [179, 226], [49, 112], [93, 152], [5, 82], [37, 82]]; loss = 0.013200 low_pass_filter = 0.300
+Epoch 0: | | 21139/? [3:42:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 21140; scene = ['9f3bcd7cc09b869d', 'a90cd28742cee5e0', '3af84daf652d5c9d', 'c0b9d76884655dcd', 'f75e151b66f83348', '5e55f309753b5ce4', 'b220e8591b6048ba', '3cbe6fe0f3f71e16', '9aea9a519266134e', 'a9d84304dc63be5f', 'be59b5b305af1e22', 'd4b1030a7dbddae9', 'fc9c7892225d8380', '425d0e1ced14eb61', '18aa1d3b3874f1b7', '1d5fd39dffb8dd6d']; context = [[37, 93], [1, 46], [30, 83], [143, 216], [14, 83], [15, 76], [211, 268], [112, 168], [8, 53], [9, 63], [194, 259], [168, 244], [70, 127], [2, 57], [5, 84], [17, 92]]; loss = 0.016111 low_pass_filter = 0.300
+Epoch 0: | | 21149/? [3:42:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 21150; scene = ['ea775b47f8ebff91', '1176759f66035c99', '8cd1b09ae767cbed', '5fc58233c894f917', 'b3c17c4058b61df2', '4ab2f8367e37a730', '111972c5ff606fed', '629506e3f6b8d7ab', 'eb18adfdb3125bed', '692c8f1a1ba8d95a', '7d4f88d897aac9e1', 'b5228b26c99db999', 'ba7ccf57b2511a90', 'e0b4d5d763af7191', '4fc0da76742961cd', '6f06edf5869507d5']; context = [[6, 60], [0, 75], [12, 67], [115, 187], [3, 47], [41, 99], [27, 98], [40, 85], [1, 45], [122, 177], [5, 79], [6, 92], [1, 63], [0, 82], [11, 83], [7, 78]]; loss = 0.015633 low_pass_filter = 0.300
+Epoch 0: | | 21159/? [3:42:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 21160; scene = ['79c4a5514b4df522', '943438bbbc464d68', '9f6fffe5f2daf705', 'dd34caafd73ddd5a', 'e0c20fd874266e33', '781ff1db42bfc2b0', 'f4ad9947616479b0', '97d12f6d996bf73c', '1636f5cec8379436', 'b4c1f38589e43fdf', 'ea560425df1b8298', '72847f7ce9b2fee6', 'be75b076f8c08cd5', 'd0d8bd9b1391cf7b', 'f97967e519b2c2bc', '8a6a910d78e80723']; context = [[174, 217], [28, 75], [19, 90], [2, 70], [87, 152], [57, 124], [2, 53], [87, 148], [2, 57], [81, 153], [20, 63], [116, 176], [76, 124], [10, 73], [12, 74], [73, 116]]; loss = 0.019338 low_pass_filter = 0.300
+Epoch 0: | | 21169/? [3:42:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 21170; scene = ['5ffc8eb09eb961ce', '8b5d909f93396c54', 'd4fc4782d0b37d26', '5f488b72ead7bb74', '1a7204b603b0c765', 'd5616c51b75cea9e', 'f914acd76dc2439c', 'a99e79f3bf4c13da', '21e72cbe7342ef40', 'd05e005f82536372', 'c40e2441c1abd305', 'eb9d8eedd458413f', '2c79e7485cc28534', 'c5ce4146d1b806f2', '9ef7e60ae9442a54', 'a26f6e7deacaa157']; context = [[4, 51], [21, 77], [5, 70], [37, 115], [8, 72], [14, 85], [29, 85], [8, 86], [37, 97], [22, 96], [6, 72], [10, 61], [11, 83], [5, 60], [12, 79], [0, 82]]; loss = 0.016204 low_pass_filter = 0.300
+Epoch 0: | | 21179/? [3:42:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 21180; scene = ['bb8a5184b240c45d', 'c648c2276ccd5f15', 'a8b8032ddf94b8bf', 'fcf33bfc26847fe2', '5bb27c0e0a89bdf3', '0f8c41f469cea050', 'aeb22e7070c7ebc7', 'b7284e30a1a776a4', '13aacaa9bfaff3f1', '351acba755ebeddb', '3b77d03f923fda5b', '78404b18ba433cba', 'f8c08f83e8dba6b3', 'bba455103c4a3517', 'c988dd7d71e48bc7', 'beaf5db0ab93f9c4']; context = [[40, 97], [1, 63], [76, 124], [25, 76], [18, 72], [58, 144], [0, 51], [22, 65], [188, 233], [6, 92], [2, 78], [22, 77], [1, 45], [40, 105], [6, 49], [35, 84]]; loss = 0.015473 low_pass_filter = 0.300
+Epoch 0: | | 21189/? [3:42:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 21190; scene = ['189366a33885235f', '9818f405d4141244', '6c46572e24efcbad', '5bb3babdc48efe4a', '9a54201f9e2fd9ea', 'd02ff663fe8c426b', 'ed4eef359d0fbd35', '21f64bf7602a82bc', '66ba152202c69c50', '9506a622c097b935', '8bb420e8096b7f62', '8f937b1a518a93b5', 'a54ea7b6debf7081', 'b6b44c750caa7b99', '6f4556580ebf03b3', '302779f6557dd94a']; context = [[100, 173], [183, 253], [73, 116], [31, 84], [12, 96], [23, 89], [4, 52], [219, 274], [10, 74], [25, 75], [7, 83], [14, 62], [15, 70], [87, 154], [3, 89], [212, 264]]; loss = 0.013829 low_pass_filter = 0.300
+Epoch 0: | | 21199/? [3:42:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 21200; scene = ['d323823a3d8dc076', 'f4f0f0d4a554cfee', 'c16752b5a01dec29', 'ea62e3ebd5a10e62', '802a2c4f1cdd375a', 'aabafe6563b3cf60', 'e46a38e9be8ffe46', 'e0919b7dad9888d1', '97b2caffdf0c4b97', '3bac2a1cdec2f5b8', 'ff531e6e82b576f0', '36591589ad16fffd', 'b613431f8d7fcaf0', '6ec387771dec87c2', 'ae8aa7a3529bd60c', '3d21e749686e5754']; context = [[20, 104], [8, 93], [91, 175], [125, 189], [31, 78], [192, 254], [75, 133], [106, 156], [0, 84], [5, 76], [15, 70], [144, 204], [72, 134], [30, 98], [49, 119], [94, 146]]; loss = 0.015074 low_pass_filter = 0.300
+Epoch 0: | | 21209/? [3:42:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 21210; scene = ['2eb7997ba431e752', 'da7bc556e451a90b', 'd541f6cd1d92cd56', 'e4101f73c4a93ba7', 'ae8b750581750b0c', '5a653e5ebdcdbbf0', 'bfd9942692811e1c', '0ab75011e9c92a01', '88c10677dde7a461', 'f86530a05d35d655', '818df63ddd1cf294', 'b81a88ba12cb339c', 'ac7e4e45af091245', '71e276d963c867d3', 'a86ad11e2813e855', '38d4b64a2c62a10c']; context = [[30, 108], [116, 184], [90, 153], [54, 131], [33, 80], [222, 277], [13, 85], [4, 83], [15, 66], [4, 71], [2, 62], [31, 87], [32, 81], [18, 63], [148, 220], [37, 97]]; loss = 0.017628 low_pass_filter = 0.300
+Epoch 0: | | 21219/? [3:42:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 21220; scene = ['7dc5c394263df267', '3fc603b4c4531c11', 'a9f8cdade19d492a', 'a1d908a4dd169770', '1b585c8a5c9d0228', '7efe572aca0b57ef', '5678b255dedbe157', 'f52c70025f40e56d', '82ba678c941b6578', 'e20f3440223cbde1', '837a853e726c6ad2', '43e59b21a3805c73', 'd83580d64d62f887', 'd5a86126a4e39e7a', '12e85fb6e140ee85', '7d697ca690248324']; context = [[166, 223], [54, 100], [49, 125], [0, 43], [47, 98], [191, 252], [8, 74], [65, 122], [24, 97], [28, 84], [4, 53], [114, 168], [6, 54], [119, 198], [5, 83], [67, 141]]; loss = 0.013268 low_pass_filter = 0.300
+Epoch 0: | | 21229/? [3:42:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 21230; scene = ['3e6c396364e093f3', 'eeab6fe931963753', '3d482adab376b844', '0cb01a5c1df8ebf2', '83270f13433486e2', 'f03ae27ded507fe3', 'cfc49cc259fea938', '101a8cc8a0021ec3', 'c90611c8c46212c8', '11351ffd74c96aa2', 'dfb0d3dc0e39b336', '4f41969b4c4007ce', '535dd05866664359', 'c55c2217e0012adb', '0f10ee595239baa1', 'f556938f650246ca']; context = [[17, 98], [0, 69], [1, 47], [134, 191], [52, 127], [15, 84], [32, 77], [41, 104], [1, 59], [88, 134], [0, 73], [0, 86], [9, 94], [12, 89], [1, 72], [31, 81]]; loss = 0.013314 low_pass_filter = 0.300
+Epoch 0: | | 21239/? [3:43:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 21240; scene = ['ba5184a036dfba7c', '91aec6468e99fde3', '5083adb55bf64b25', '43d0e6dce7bb1e95', '87116b1c1771f225', 'f6569109c3fa7421', '3a40230e7d49bd72', '24d756c820744e31', '787007efbbe4d6a6', '49529740b79c463a', 'bbb021e52b6ccc7a', 'cfd1250b06491484', '3dcc161252157ed9', '550b183f0cd83a7a', '69060f44e6de499c', 'c963bb60939e2d81']; context = [[61, 118], [3, 76], [61, 109], [18, 93], [24, 88], [11, 96], [96, 173], [77, 137], [15, 64], [11, 83], [20, 75], [0, 43], [129, 215], [46, 114], [13, 84], [154, 224]]; loss = 0.015945 low_pass_filter = 0.300
+Epoch 0: | | 21249/? [3:43:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 21250; scene = ['3a2204326cfd6610', 'a6c866d1b23c3bf5', 'd3ca9be81f2783aa', '91888298fd1b9b3c', '845dddb2e014cdc9', '1f0ed2f5fecc5354', '9911e5bd5013874e', 'c6b9472bf055527a', 'c7f1be8551fffb8e', '50d0d7cf5b19eeee', '83ebc32def5a3967', '00ed6136c07aea5f', 'fa3080b291d02ee9', '8dada1b00a394314', '984ffd413db16533', '59e94a32e670efd7']; context = [[97, 161], [0, 44], [62, 145], [34, 84], [43, 110], [50, 94], [27, 94], [2, 68], [13, 89], [2, 65], [52, 96], [158, 226], [76, 147], [21, 87], [12, 64], [6, 68]]; loss = 0.019289 low_pass_filter = 0.300
+Epoch 0: | | 21259/? [3:43:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 21260; scene = ['d6d035f2af6e9bad', '1716266141ef92bb', 'a80fd2f2a9bf34a7', 'f730cfa1c51fc30b', '0ffd385bf24b6e10', '9c68a8a0af17b921', '1d8f8faa8a7ec751', 'c11e71447a5d1611', '4c3217cbb966ce0c', 'cbf4039988cef2e1', '539e0d3713447384', '4b2e9dd96e4d8542', '7b9424684d45b38c', 'be6ab5e68b93a77e', 'de8ef03bc3c49125', '8e129a4801a9f632']; context = [[4, 65], [19, 94], [2, 76], [29, 77], [44, 125], [36, 80], [2, 60], [33, 111], [63, 135], [1, 62], [61, 120], [59, 121], [6, 74], [0, 53], [43, 99], [10, 72]]; loss = 0.013532 low_pass_filter = 0.300
+Epoch 0: | | 21269/? [3:43:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 21270; scene = ['89c3dc5c2b6ca1ab', '168efc21cebfe627', 'e387c66e18137d25', '0a91ba693acb65d5', '543822331e271917', '15592e57716c6463', '6408008d0dcba73e', '98f9e6a5b0475808', '362336fc9e531a0a', '6f8b6524e87dc23c', '370ed12221433e23', 'f8f773a036b4752b', '4ad5cecab1988512', '891b961086b8c3c1', 'be0ce1ab279edf70', 'e1d54f5b0c99afc7']; context = [[1, 84], [149, 195], [0, 52], [42, 85], [3, 74], [1, 52], [49, 111], [121, 178], [8, 83], [93, 157], [27, 85], [24, 92], [115, 179], [114, 199], [7, 68], [46, 118]]; loss = 0.014872 low_pass_filter = 0.300
+Epoch 0: | | 21279/? [3:43:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 21280; scene = ['c8cc2a7aea1ae283', 'd3741e9507f27e73', '167e9f7f27f4606b', '9346423fdfeb4f9c', 'bd2cdd0dd1240f74', 'b95185f28371e386', '8fb8f7489488f95e', '2d9d2b3d1a7fb3ed', '9e1fe1ef4c790152', 'c579294a2271154e', '1f268c1c41e9163b', '5d7b4876fcc0084e', '283963dccb852f84', 'ffac01816b4f0f08', '2133828ac8c5d46b', '00e0fd7343aab586']; context = [[20, 79], [199, 242], [133, 182], [0, 82], [41, 88], [17, 61], [126, 197], [7, 79], [7, 53], [0, 54], [9, 52], [76, 140], [44, 102], [19, 100], [62, 117], [168, 233]]; loss = 0.012393 low_pass_filter = 0.300
+Epoch 0: | | 21289/? [3:43:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 21290; scene = ['f26e8a72f69b6153', 'dc793e1871d909f8', '10567c82a531e730', 'df0c3a97c7905d54', '10451da41760e4cd', 'fb286cc1b88283ce', 'c94d7945b47305a6', '403be198663b2b42', 'db20e126b06650cd', 'fe59d86ddd3acba2', '286e4261f2d7a0f2', 'ba11fbcbcb19baa0', '76715fe6f0e48a76', '6487b73983851b5d', '12e365426a204bfe', 'c0d9b8245553ea43']; context = [[28, 97], [81, 167], [47, 133], [9, 71], [14, 82], [123, 177], [29, 87], [1, 58], [1, 85], [28, 75], [1, 63], [4, 69], [59, 119], [26, 77], [14, 68], [122, 187]]; loss = 0.017432 low_pass_filter = 0.300
+Epoch 0: | | 21299/? [3:43:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 21300; scene = ['dcad495f22c3a4cd', '3780e22f0d691f9d', '94f8af540f480a57', 'd3c0eacd24343f73', 'b4692cbaafb76fd3', '93207280220e65f1', 'cde7b6fa3c001d9f', '8dc4d3224aeab6d1', '53771050e7eee75b', 'b5f456b12b2614d6', '6411869e86a67cd3', 'b1ee91b484384c77', '650609448a013df7', '57c3b7f97d1cd58f', '12443a11c95102c3', 'dc7a97c282e2e199']; context = [[15, 70], [73, 123], [9, 58], [23, 92], [29, 114], [34, 108], [17, 77], [22, 71], [0, 44], [47, 99], [89, 172], [0, 63], [71, 140], [2, 77], [2, 45], [205, 258]]; loss = 0.012285 low_pass_filter = 0.300
+Epoch 0: | | 21309/? [3:43:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 21310; scene = ['a62a2b5b73c17bbd', '95c2ed222a35164a', '12f8ef0332829c13', '5c18a562ed693e1b', '14d80ef84d729d9a', '2f1dbb6528cc9c00', '2f84f803a78d4b17', 'a3ed6fb68d908847', '8b10e41a11ccc400', '2812257d640b9e4b', '86940be98676137e', '0dff139d1771652c', '9e2da56028e469b4', 'a024d3305ff3ee4a', 'cc4b6ab6c6ccdb6c', 'fb52a49c23ff014d']; context = [[43, 108], [145, 195], [45, 90], [43, 109], [35, 94], [46, 108], [7, 59], [3, 64], [22, 76], [92, 148], [11, 67], [12, 95], [3, 89], [0, 47], [15, 64], [4, 51]]; loss = 0.015670 low_pass_filter = 0.300
+Epoch 0: | | 21319/? [3:43:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 21320; scene = ['a0718ebce433c95f', '693d722638a2224d', '18622e59c80cd655', 'd6c7ef943acb2490', '5e0d1688b8de8814', 'd8b3d968d826dae5', 'eea4d2f46db72095', 'f3aaddb01fc4665f', '5bbae3d047eb84f7', '3d3facb1425b30d2', '3db247f055f7e4ea', '89943e55af1ebcb3', '746d615513052889', 'd644cfb925683a58', '0ae6dfceec6e70ce', 'c0c40d7196c94570']; context = [[72, 137], [184, 248], [157, 228], [16, 75], [6, 69], [2, 51], [50, 96], [0, 44], [0, 54], [49, 94], [1, 68], [94, 151], [28, 72], [29, 113], [4, 57], [30, 116]]; loss = 0.013507 low_pass_filter = 0.300
+Epoch 0: | | 21329/? [3:44:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 21330; scene = ['4ae447fcc0d0c2f9', '43afc7d30bc60f7a', '68a8baf91b21a89c', 'e8f2a9d8809cbb5f', 'c85b8b7a314d9400', '742dd935b1e80082', '932b4806763bfb08', '56f96532473be1b0', 'dd630ab73b0f3055', 'a563a9ac0035602f', 'd63e688b51974eab', 'cd7a270da6f6da4a', '3c74942b2a1ebb46', 'e1f9fba4ec75168d', '9400cef95716ea17', '363163aa8eb9a2dd']; context = [[0, 55], [90, 171], [0, 60], [14, 86], [15, 90], [1, 50], [57, 127], [8, 72], [30, 96], [17, 60], [53, 128], [0, 76], [17, 77], [41, 86], [11, 59], [47, 116]]; loss = 0.011563 low_pass_filter = 0.300
+Epoch 0: | | 21339/? [3:44:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 21340; scene = ['e4f16f4b31a78522', '3bc995c0eac71f1c', '9903d3fe63d6a818', 'f60fb1fa9fcb5fe8', 'f7c53a68d68875f4', '001573921974bc70', 'e3e576f5e8270112', 'c7ee25903806290a', '865900d9c2b663c9', '9b2b777203c485b2', '174ececf4806c75f', 'be1357905deb4c72', '52728d137e221123', 'eba9280b3b5f62bb', 'a296d5cba5f086b5', '3cc43661190764da']; context = [[15, 70], [64, 149], [72, 127], [115, 196], [110, 169], [121, 203], [12, 79], [67, 116], [44, 127], [5, 58], [116, 196], [57, 137], [2, 66], [4, 82], [33, 78], [3, 77]]; loss = 0.014603 low_pass_filter = 0.300
+Epoch 0: | | 21349/? [3:44:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 21350; scene = ['e46bfc605bc405f1', '4b9ed7532c875dab', '24d99efd78aa36b8', '7073053a1ff0206d', '4ef090a0a136fa10', '88cf24f0c9dd93a6', 'd38ded2afc216695', 'a9739ec3a34012af', '70ec69837c425813', 'c6c9b668948dad8a', '013264a550df794f', '3fea307343c1dbe2', '78cdac6e6b49a39e', '36e18205253594ab', 'daf32202c1390798', '6f86d9708cbe8c02']; context = [[5, 57], [62, 117], [32, 91], [7, 51], [103, 157], [4, 73], [9, 64], [6, 55], [0, 82], [107, 152], [4, 54], [25, 72], [78, 130], [48, 113], [65, 141], [16, 95]]; loss = 0.012839 low_pass_filter = 0.300
+Epoch 0: | | 21359/? [3:44:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 21360; scene = ['5dc77f428548ef6c', '89faac013c813ef3', '8f0b583f573700b1', '089ffb7660d45b8a', 'cf2ccc207ea50817', 'cc21e3ccae1a9465', '14461d13b87699f8', 'ee852c177e577c39', '31913826b69a96a6', '02fd4e792fff80a0', '492424fe92e1b3e4', '5c2fbf97c6d68f2d', '70dd3ef971caa54d', '19c1be98c8cc8c2f', '3b55d9ff7f824fb3', 'ba46035ebb408dd6']; context = [[18, 68], [24, 85], [22, 89], [8, 90], [44, 117], [22, 94], [9, 80], [47, 99], [146, 214], [211, 276], [7, 93], [15, 58], [5, 64], [32, 105], [82, 134], [62, 121]]; loss = 0.012191 low_pass_filter = 0.300
+Epoch 0: | | 21369/? [3:44:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 21370; scene = ['6e47e3b29341ee52', '457b960b904a9595', '27e52aabfbeab302', '7ae631639bd84d28', '202ec6e6a4765626', 'd27285f7d9be1c5d', 'f3ff4b1d53f490c9', '19631666c48e1222', '58fbf7415b5f94d2', '5c021289891283db', 'e177bbea4b5ff3b8', 'b91f48fbbbce8100', 'ad923f1df8199a76', 'c72bebd575f2bba0', '4388baf3cc57d396', '4a25e745a7cf7107']; context = [[4, 51], [62, 108], [12, 81], [4, 66], [67, 133], [182, 238], [46, 106], [36, 82], [39, 122], [162, 231], [40, 98], [0, 50], [3, 62], [42, 113], [44, 109], [0, 56]]; loss = 0.012966 low_pass_filter = 0.300
+Epoch 0: | | 21379/? [3:44:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 21380; scene = ['43c4c89b3414a0fc', 'e2ef2c40eeda8f3d', '711eaae87d76ac0e', 'f5c74a79946b8cca', '95da46cc74bd865f', '21b43052b04845cb', '0e3dd3714c78c34b', 'a57c3d7a98497d6d', '1468285f818227c3', '96e650d88643f131', '74276916559f4ca9', 'aa91057e660588a6', '7f332d591ca1980e', '0aaf3b090165ec8c', '0a3c48bdaf8771da', 'a526a271a561bc23']; context = [[189, 257], [4, 54], [6, 67], [6, 52], [18, 72], [16, 66], [83, 138], [32, 116], [3, 66], [3, 66], [14, 69], [18, 88], [57, 122], [1, 47], [114, 182], [1, 74]]; loss = 0.014466 low_pass_filter = 0.300
+Epoch 0: | | 21389/? [3:44:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 21390; scene = ['46aec7ec241892c7', '346e62ad09069013', 'f67681804659fb89', '4e99ce8dc4d1064e', 'b511c88b16643809', 'f760b9c83e882756', '6fc73551f1244422', '1e543f770095bd2f', 'b9d744bbfbf05528', '88b8bb15bd256558', '96405403953c2a44', '3d928d1613742585', '8f7dbb2f1b867a8e', '301013b01a12938a', 'cb7ba36fbae70c01', 'aa9daba10b590900']; context = [[6, 77], [29, 85], [16, 96], [1, 80], [7, 60], [2, 50], [3, 47], [25, 72], [2, 61], [20, 89], [0, 43], [3, 46], [226, 276], [4, 55], [1, 60], [22, 91]]; loss = 0.014745 low_pass_filter = 0.300
+Epoch 0: | | 21399/? [3:44:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 21400; scene = ['86196d5ba4663859', '24f22809ef5b7c6b', '7befac8bda5a40bb', '6ff639afc2dc47a9', '56e8b9541d2225d6', '906fb344c7f0c4b4', '34f84d9c73f9aba6', '1d6e90b9bf321118', '7738cc583bce642d', '61cb88c7a8387ea1', '83c84d2d35b95f97', '8006919da696dee6', 'cd22be4ca813f822', '1e75265d74b6b717', 'dfa6db6f3959e2ec', 'ad0b15a79f791403']; context = [[10, 77], [22, 96], [54, 107], [69, 121], [78, 137], [9, 55], [42, 106], [18, 80], [56, 107], [0, 53], [38, 94], [8, 94], [12, 74], [19, 94], [97, 150], [4, 48]]; loss = 0.012741 low_pass_filter = 0.300
+Epoch 0: | | 21409/? [3:44:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 21410; scene = ['bc0416bb78a802ee', 'ca54e98bf836370d', '049445c627d6850b', 'cdfa2ba7d2ed2047', 'e96cb36ba03824cc', 'fd2445087b521bed', 'b17ef7cf07069daf', 'bce74d743b6fdc0e', '2e7e83f0936f48ed', 'e16752b3b2547b07', 'b4589b9d9a277d11', '906fbd1ca67ad39a', '2fab89e843378069', '9f00e63f588d8c1c', '229d95aa1bf21e73', '6db367f58699de50']; context = [[9, 81], [78, 142], [45, 125], [21, 69], [46, 95], [44, 89], [2, 54], [10, 94], [133, 184], [4, 74], [24, 76], [34, 110], [0, 49], [91, 136], [13, 77], [56, 135]]; loss = 0.016405 low_pass_filter = 0.300
+Epoch 0: | | 21419/? [3:44:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 21420; scene = ['c63627e00779ea61', '017517c688f46265', 'a16193833911a116', 'e9668cfb7fbd0f26', 'e275ebdd238e485b', '06217ded6da8f724', 'b22c33aa0730f9d8', '72d8bf6dfde7ea73', 'cce7b7b831f93fed', '50b2b1847f0c3ec5', '5f1f6f96424e0013', '76e579e0db484aeb', '76e66c14db609731', '38da907dd45ba2d9', '10ad454e47dbe812', '842b0f18727a87f6']; context = [[62, 125], [18, 67], [0, 60], [9, 75], [16, 65], [15, 86], [1, 58], [7, 75], [54, 115], [5, 58], [8, 71], [37, 108], [68, 119], [17, 78], [21, 99], [128, 173]]; loss = 0.014864 low_pass_filter = 0.300
+Epoch 0: | | 21429/? [3:45:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 21430; scene = ['4ad86d4540f00a8c', 'af662abc8d684583', 'b0d843ba835f493b', '828e898c133cf87e', 'ab6cf8dbf75be791', 'da33b0ed32034f61', 'bbc62daeaf77bf4f', '665d429d01b05d14', '830cc256a754ed8e', '8145a4774a6a2fd3', 'a48acbe4b04dda97', 'd2142814c63e8686', '309a175f1e06b80a', 'ce7ac9da5348c18e', '4a92e8a638e8c57c', 'af0517fa98077a1e']; context = [[122, 174], [78, 161], [31, 110], [11, 69], [50, 106], [161, 244], [1, 47], [37, 108], [25, 109], [69, 121], [48, 103], [23, 92], [103, 180], [90, 170], [55, 134], [4, 68]]; loss = 0.015938 low_pass_filter = 0.300
+Epoch 0: | | 21439/? [3:45:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 21440; scene = ['11c47219c153c014', '20fa2a9557a949a9', 'f8a24a1cae5ae861', 'e0b75e74fdeffde9', '4beff98ac10fb266', '8b8f7cd56fb6a696', '402071c2b1550820', '22062ed897320134', 'fa051d0232ae8040', '04b1b1907a571739', 'c663eca13c6fabb1', 'bdec1b187ae56101', '14c7e3cd8489c8c5', '8cd39b3cd14c6411', '90df57a459ba4946', '8cb7643bb7bf41ae']; context = [[19, 74], [29, 104], [203, 267], [4, 58], [0, 46], [15, 71], [96, 140], [2, 57], [132, 205], [12, 77], [1, 66], [3, 59], [5, 66], [20, 74], [16, 80], [123, 172]]; loss = 0.017527 low_pass_filter = 0.300
+Epoch 0: | | 21449/? [3:45:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 21450; scene = ['9fe032b64b5b91df', 'd2bb7463fe19637e', '562335093bc96094', 'faea448f2b4288d3', '6c4460628810b20f', '3b65829d6b1455e5', '05347d56da893981', '40d6b441889e1124', 'f59a578b65c02808', 'ec723bd46c6bb0d8', 'd8fb559aaed4da44', '7e36e7719da64e32', '261442e6f0afc52b', 'a33696bb26c11d04', '654eb3afe20032cb', '5412fa985f955823']; context = [[8, 92], [0, 59], [4, 62], [73, 122], [196, 240], [124, 183], [25, 75], [51, 112], [0, 86], [15, 101], [170, 216], [68, 129], [22, 96], [113, 191], [188, 248], [0, 44]]; loss = 0.013620 low_pass_filter = 0.300
+Epoch 0: | | 21459/? [3:45:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 21460; scene = ['393e7c167eb55e34', '9ad88af7e2443b55', '23ec4735aa0a67bc', 'a47203cfd5e0a478', '55e24e20d3c00382', 'b5ada35c89248568', '4d0d26a83b1768dd', '9900d32431eac9e6', 'a9661ea3b30c456f', '2edc486cc51c35ea', '0296dcc56c7fe3a6', '7b2603917973d2f5', 'f4102be87181dd18', '67d8efc474193da2', '0ce35beba18e98c5', '6e1dfabb4d26383e']; context = [[193, 270], [109, 156], [68, 145], [1, 57], [2, 53], [0, 84], [119, 183], [3, 48], [7, 59], [74, 121], [109, 177], [3, 59], [62, 112], [2, 71], [43, 129], [55, 115]]; loss = 0.015753 low_pass_filter = 0.300
+Epoch 0: | | 21469/? [3:45:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 21470; scene = ['30a2b94634ae2d54', '80ca8d74f4e2040e', '689e1c27e095d1db', 'bb6ec4289e5f7782', 'c072bb300376410d', '2792e359018c5154', '61e0721e6e6ca7c1', '6b241d02421eb171', 'a435fd71c02a2517', 'e596d6f4aa35ba08', '30a5363e5a799e20', 'c93837510a7e6eca', 'bed487ae39240b79', 'e32b0c5811341901', 'cdc6955dd0be5407', '8cb183849a6041b6']; context = [[21, 67], [8, 66], [1, 73], [5, 75], [6, 52], [4, 65], [35, 114], [11, 91], [19, 68], [7, 76], [3, 77], [0, 76], [9, 90], [20, 100], [176, 247], [201, 262]]; loss = 0.015348 low_pass_filter = 0.300
+Epoch 0: | | 21479/? [3:45:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 21480; scene = ['88c708a41a1fb05d', 'd9641b3f6ca0b13d', 'f5931cc439781222', 'c35caeecb39384c1', '0a11dd9556fc99b0', '0f819dc526c6789d', 'ef4a031cc59eba0c', '9f622f50132c1efe', '1ebafcd97626e04a', 'edaf19c032358e0d', '0d4ae3101bbba58d', '6db959f1787dd868', 'c772fa408dae9acb', '1170794da4c3f477', '11a0410061415599', '77542628c9955b43']; context = [[25, 97], [0, 46], [10, 72], [11, 78], [49, 121], [1, 68], [75, 135], [150, 194], [61, 124], [155, 215], [49, 119], [18, 84], [3, 56], [53, 112], [46, 124], [52, 107]]; loss = 0.012686 low_pass_filter = 0.300
+Epoch 0: | | 21489/? [3:45:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 21490; scene = ['bb3eb9d480095f51', '4aff7ed67c4dfb96', '7ae3f19e3250418a', 'b925d0302c20e4f0', '0a257e4047e3940b', '1e70e700f899e3f1', 'd6545357d99064ca', '8f96818fb94a0c1d', '12d37d2db81cfb78', '237c3958c379951c', 'a0c990050d1cfa1f', '7f0548a3d33609a1', '639dccabc5fd5189', 'd0eac6db1192f430', '4476b4830410d1f3', 'f01be21299d4a10a']; context = [[81, 153], [43, 107], [19, 82], [6, 83], [106, 169], [11, 96], [25, 88], [77, 152], [43, 98], [7, 58], [195, 263], [1, 72], [27, 110], [138, 183], [45, 93], [5, 69]]; loss = 0.016954 low_pass_filter = 0.300
+Epoch 0: | | 21499/? [3:45:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 21500; scene = ['7ab3467d71486fcf', '1f28e8525efd2881', '1a912617a1d3a00b', 'a212e7b4ef90cba7', '9fd59b650e13ca92', '083fc5345f567257', 'b4f8a378557daf5b', '5807e404a598a0b8', '3b22f4f99f2bf2f5', '0d8cf8d48624ba61', 'a6099c3a152a33ba', '2a5a8eb588d31b58', '6383e34da3d854b8', '56346d67d610fe19', '2c4d6e1ce80f67e7', 'b52d7d44173411a4']; context = [[10, 92], [16, 74], [0, 62], [20, 97], [2, 55], [84, 142], [60, 105], [0, 58], [74, 141], [39, 104], [75, 145], [124, 183], [62, 143], [37, 83], [15, 95], [4, 49]]; loss = 0.018262 low_pass_filter = 0.300
+Epoch 0: | | 21509/? [3:45:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 21510; scene = ['c3858f544a9d90df', '7f8c25373eb6ef0e', '38843476b90d06fe', 'd15194c473c5f537', '161b1aae30b9cf97', '41c244d2220305cc', 'e85e9ca51c4df1b3', 'fbc81cf7f2257dc7', '25604d48a185be0c', 'c6c328242b50ef3e', 'b3656beda36e21c6', 'ccfb0dfd6611337a', '7f5cbcc7be9976d2', '082026c0ca8b7289', '78920ff5c84458f3', 'e08a3c8c7d2d41bf']; context = [[9, 83], [6, 56], [35, 81], [7, 60], [10, 69], [26, 106], [51, 109], [108, 195], [43, 88], [62, 119], [21, 68], [27, 81], [30, 109], [49, 98], [0, 47], [74, 160]]; loss = 0.013082 low_pass_filter = 0.300
+Epoch 0: | | 21519/? [3:46:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 21520; scene = ['e4b86bcc4becf58f', 'ccce87db395e4763', '72eec921256814f8', '7767685c39a88cf9', 'b992a00ff88142ee', 'e8e3024887fb5d1e', '876b693d043b22e9', 'dea498ff8b8ab6f9', '6d5e73f24d60de17', 'c7ea4a0328a41099', '117e8772bf15a379', '53bb92dfd8a1f768', '7a0d4dd03dc3a3d1', '01c40662a79169c5', 'e47628dbe502195f', '4a407770636ca387']; context = [[120, 173], [17, 77], [28, 93], [78, 137], [30, 117], [4, 77], [174, 232], [0, 45], [48, 96], [206, 273], [183, 246], [7, 70], [132, 206], [74, 122], [102, 167], [16, 101]]; loss = 0.013712 low_pass_filter = 0.300
+Epoch 0: | | 21529/? [3:46:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 21530; scene = ['2ba622b78fc4569c', 'b3ce0a1b64b915f9', '3e44962dbf4e0a2f', '3bf9f02b026d74bd', 'd49f0370619ad32e', '3f02d03307df0ca4', '372e97b694dfb4e3', 'cf8df116485c5af9', '99ce22b8e15cb9ad', '7d6e5712d9eec4a8', '93116e7e0e8ccbd4', '8d6a4f017099b11a', 'd96c729906d631c5', '445733250e277c1e', '992925358996d7f5', '5111e9fee46cdb11']; context = [[7, 75], [11, 57], [150, 194], [0, 70], [10, 94], [1, 59], [13, 93], [17, 91], [46, 125], [124, 170], [11, 76], [88, 161], [14, 82], [8, 57], [4, 78], [22, 79]]; loss = 0.015681 low_pass_filter = 0.300
+Epoch 0: | | 21539/? [3:46:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 21540; scene = ['3a568c79673737e6', '3507a192abd163e8', '71ed514b41b8ac5e', '0b48360f07bde1ff', '14a12379ac4fde73', 'd38922fef47f54bb', '736fdcac4334bc20', '30e84380ee5fcbd4', '1c2baa22ca752e9b', '202b9a0a354f2059', '395b32343999e1a7', 'cc067bb3726f6dba', 'f31b593e5f477596', '5e980e0a30d89f73', '81c7dc4d940db5f7', '45694e8bcde889ed']; context = [[145, 198], [22, 98], [48, 113], [16, 87], [4, 75], [61, 127], [4, 62], [59, 141], [56, 117], [73, 118], [7, 77], [20, 66], [18, 105], [35, 105], [8, 67], [2, 74]]; loss = 0.015344 low_pass_filter = 0.300
+Epoch 0: | | 21549/? [3:46:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 21550; scene = ['ea9527d030b6ef05', '28666f5e7079f976', 'b51292c38f8bc5ad', 'ddf5dc2fba294c36', 'e9198ff23ec421b5', 'feb1b82c2d94f99b', 'bbfe784cdfde117f', '143c77dcaeba54c4', 'd778dab56091a41e', '703887d25535f7d8', '1c90964b4a2c8e69', '12d8b6233815c5ef', '3617646b6a1ba79c', '33843561ee71f057', '70cd7845fc34f016', 'bc7da523a17145bd']; context = [[148, 205], [53, 138], [12, 90], [5, 76], [48, 94], [77, 164], [1, 88], [35, 89], [89, 136], [172, 238], [1, 74], [12, 61], [97, 172], [15, 67], [50, 126], [160, 225]]; loss = 0.013961 low_pass_filter = 0.300
+Epoch 0: | | 21559/? [3:46:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 21560; scene = ['ab1d4518292e91ea', '5fd54bb5819e9564', 'efc03ccc68e50504', 'fd58f65ca879b900', '88757490a352159b', 'c6f9df8f7eed7728', 'e0e18dfe0dff7381', 'b643973b5d059f72', '9ff079a7d20b61af', 'fef9b8a287d2d4bd', '31ee0ad396e51e16', '60bf0a4a1ac5f0c3', '5c636a8622d43293', '530511cbdf4fd449', 'e6be807f7579f977', 'e2068d39b0cbe2d0']; context = [[199, 253], [72, 123], [96, 157], [75, 122], [70, 126], [105, 184], [0, 70], [0, 68], [24, 101], [26, 85], [177, 243], [2, 61], [11, 73], [176, 258], [39, 124], [54, 105]]; loss = 0.015134 low_pass_filter = 0.300
+Epoch 0: | | 21569/? [3:46:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 21570; scene = ['75c231b3963554fd', '15a03fac30b07ec8', '095d0b790f4b9a24', '7047779507704deb', '1c18f955dea677ca', '00b37a5222bb6dca', 'd34f631bf889f0ad', '83e665a20aab001c', 'c3948552729d528d', '5950740e398e4fb4', '63a4d8d6b62a5c8f', '5a9e5c0247e3449f', '7f378d74cc39f8a2', 'f165afbdde9ddb9f', '232239c3d95dcefc', 'fb930a2d6875acda']; context = [[18, 74], [4, 85], [8, 69], [69, 115], [11, 60], [34, 110], [7, 80], [3, 86], [18, 81], [49, 108], [55, 140], [0, 72], [1, 69], [1, 53], [172, 239], [3, 49]]; loss = 0.016548 low_pass_filter = 0.300
+Epoch 0: | | 21579/? [3:46:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 21580; scene = ['0160f46f6ab85e70', 'd10c1a3d693d4605', '500a15dfebbfd3f1', '2986008bc92d6b2b', 'ac2d8427dd7b3f1b', '2ad3521a6d8e647d', '0be2dda3b9bee02c', 'd50f9f193c3063a2', '3663d892a56790c3', 'df6fb10595c0c3ef', '92085b73d95d15f2', 'd6a6b9b02811d3b7', '0f57d75b30d65539', '889745e162331266', '829f8c2b2e5252e5', '479768833c417c3b']; context = [[23, 78], [0, 50], [8, 52], [18, 84], [21, 68], [183, 264], [0, 48], [28, 90], [10, 91], [86, 173], [5, 88], [84, 156], [17, 68], [14, 70], [0, 82], [17, 92]]; loss = 0.014584 low_pass_filter = 0.300
+Epoch 0: | | 21589/? [3:46:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 21590; scene = ['dbc167d7cf153052', '008f94cc8929340d', 'ee481b1c6840cab2', '09450e253b21e860', '3c4b99bef5d8b14d', '7ebcfa3f026cbe07', '2b392cd12ee7d64a', 'a7292cb341621b8d', '66b95ee15dfd4ea0', '9a8cd9d0c7314a95', '1d4b5d6f1f708dda', '130d19f9ec2f7235', '1df5d60616bb1da2', '2169964b451800bf', '5a81ed272512c4ad', '107fabf0d1dce254']; context = [[122, 173], [14, 84], [26, 78], [1, 52], [52, 117], [5, 85], [28, 74], [49, 102], [27, 73], [10, 92], [119, 187], [16, 72], [1, 88], [7, 90], [21, 101], [89, 167]]; loss = 0.025289 low_pass_filter = 0.300
+Epoch 0: | | 21599/? [3:46:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 21600; scene = ['e718b9c40932334a', '8127535bedebd72d', '3122e98aa60a39b9', '0311500610ca9f66', 'e78ea0051cdfb8a2', 'bcf339b753e90045', 'e898b01ab419c02a', 'c7eb0f11acbee2b1', 'f33e09c013e5dc21', '869e4027ee7764a3', '636dc42413fab3de', 'e257408aebee8296', 'ef7412f29ac99051', '3fa09b493236b1be', '7ce03a48c280ca1f', '4ba775154ed5f451']; context = [[10, 77], [20, 81], [82, 149], [155, 239], [38, 92], [43, 120], [0, 45], [93, 156], [2, 47], [2, 66], [48, 130], [15, 79], [9, 67], [88, 161], [16, 60], [1, 49]]; loss = 0.014205 low_pass_filter = 0.300
+Epoch 0: | | 21609/? [3:46:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 21610; scene = ['5f2e62b6917bab16', 'b531cda2072028fb', 'cc4b6ab6c6ccdb6c', '5c18a562ed693e1b', '9e2da56028e469b4', '2812257d640b9e4b', '2f1dbb6528cc9c00', '2f84f803a78d4b17', '8b10e41a11ccc400', '86940be98676137e', '14d80ef84d729d9a', 'a3ed6fb68d908847', 'fb52a49c23ff014d', 'a024d3305ff3ee4a', '0dff139d1771652c', 'eedab507fc8c1a62']; context = [[44, 114], [10, 93], [7, 51], [1, 67], [39, 111], [88, 141], [40, 107], [22, 73], [42, 91], [18, 72], [11, 81], [7, 63], [4, 49], [0, 47], [48, 101], [23, 88]]; loss = 0.015209 low_pass_filter = 0.300
+Epoch 0: | | 21619/? [3:47:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 21620; scene = ['d7eff3b592d43b5d', 'a610a0429a65252f', 'd6101105e2422849', 'cf05de0bba53f3ba', 'a03d3ae93a3b562c', '7c9b56039678ea07', 'be6ef75da859e939', 'c41173a3b4eefcf7', '84425155e64a60a9', '8ec583b55bdf23e8', '6d0471242f13b0fb', 'bcce9c2792de0566', 'f413fced2b1ac299', '62319ed3333b356a', '219d9b3b07c93e05', '219e3cd4f5998cc4']; context = [[6, 69], [5, 56], [18, 71], [101, 171], [6, 57], [97, 168], [13, 67], [1, 68], [1, 78], [2, 62], [1, 70], [8, 58], [11, 90], [36, 80], [107, 153], [1, 85]]; loss = 0.015883 low_pass_filter = 0.300
+Epoch 0: | | 21629/? [3:47:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 21630; scene = ['9919a90cca908f5a', '3ffb94731fd84995', 'dfe008802b69008a', '979e6ee2c54274c8', 'bf0f4614e32aa403', '96cb00ed5d745db8', '5ae7974a40e54506', 'a7bc22395ad69b99', '2dc825f560e48ede', 'af272bfa02b080e8', '20c3a99f33ff0958', '279f168a03bf8e5e', '6c22c1f20601e2d3', '13b739351d44ebc1', '3b4d3b652525f84d', '4c2189cef8afc008']; context = [[20, 83], [134, 192], [9, 76], [29, 106], [204, 276], [1, 80], [3, 76], [98, 154], [181, 246], [93, 158], [33, 79], [112, 175], [31, 116], [185, 240], [90, 140], [5, 87]]; loss = 0.016722 low_pass_filter = 0.300
+Epoch 0: | | 21639/? [3:47:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 21640; scene = ['49785c87f850df60', '85a0f956742534ed', '1d5cc6c50380f3e6', 'a519a1c84e497e27', 'ab7014fa0e77a4d6', 'f3d8bc3e3a2a6668', 'c79614eb3afc854a', '4b697e58adeee999', 'd57b42a6459958d7', '43e705210ed8541f', 'bf586bc4ea216393', 'bb9f176934162282', '054ae374f61c2e5f', 'c2b41c1750f8d948', 'c38501e01077fe3c', 'cdd0fdbb610e9394']; context = [[1, 56], [28, 96], [6, 77], [25, 91], [5, 49], [2, 57], [14, 60], [40, 90], [11, 64], [0, 80], [82, 131], [13, 67], [56, 111], [3, 63], [16, 79], [7, 69]]; loss = 0.012486 low_pass_filter = 0.300
+Epoch 0: | | 21649/? [3:47:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 21650; scene = ['caf7c83470c7f539', '6deb86189735ad49', 'dbe8fb4a958ea306', '357632990cc0f792', 'c2893d4152103f88', 'b107234cfb895c30', 'a5c5d22eb6353af4', '56d7b41096c4a0c4', '73677808d2e27970', 'f7162df69d7f02d6', 'cdcdc97ba9dfaddf', '5b43db5bf21abbb8', 'daabae5358f7603f', '85719fc0e88eacae', '1effe9e0b094ca8a', '3e6d1f9e11e3dc9e']; context = [[87, 157], [0, 76], [83, 165], [1, 78], [40, 95], [64, 136], [90, 153], [149, 217], [31, 79], [30, 95], [4, 86], [35, 94], [46, 90], [93, 164], [70, 118], [5, 49]]; loss = 0.014805 low_pass_filter = 0.300
+Epoch 0: | | 21659/? [3:47:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 21660; scene = ['15209b5fbb6b8b46', 'b86f3ce1bbc34571', '550411cdc1322414', '3f2add62a0b1d691', 'fa46d2e31ca6700f', '14472523a0c46403', '7a6bda7be9ddd883', 'c43bdb6be580b5e1', 'e60e765e62130960', 'ec69ce38f103630c', '1665c14b021957de', '83ac3cb620e43578', '26bd2f3807377c77', '6a754bfbd0e02830', '25c3ed412bb25315', '3e9346b65dc684e4']; context = [[103, 172], [3, 74], [97, 166], [83, 128], [8, 73], [22, 91], [0, 44], [22, 101], [36, 100], [25, 90], [17, 68], [1, 69], [43, 127], [21, 84], [3, 60], [33, 90]]; loss = 0.014751 low_pass_filter = 0.300
+Epoch 0: | | 21669/? [3:47:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 21670; scene = ['e47853cf56368a5b', '8ab06b946305e748', 'c8af8613f643a65b', '14ca9b012a709593', 'dcd8192614eb6df6', 'b0fea728bc83b595', '7e298b879dc6b10d', '41b9c051d5df7dc0', 'b5d0e2112b26d659', '4c40c57cb20e6920', '3c99b5451264d6aa', 'c172fefa8dfaec4a', 'd8abb08d528ae88f', '58da510f517858b6', '2de9e39deb77c039', '3e3ee1f9aa5e1c5a']; context = [[1, 46], [6, 50], [55, 121], [39, 93], [58, 108], [161, 230], [69, 139], [17, 67], [89, 162], [1, 47], [2, 59], [77, 153], [23, 73], [126, 185], [1, 81], [55, 115]]; loss = 0.016370 low_pass_filter = 0.300
+Epoch 0: | | 21679/? [3:47:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 21680; scene = ['501f942683971a00', 'ffd9b6fbc0dfb79e', '66d7642a13034efc', 'cd893fbbce35296d', '9ca1a30d56728f9c', 'a78ee3b1ded8fece', 'a9d0b01668d632db', '654f55e5990d91f1', '955297f5748b7193', '25fc1ce54c3d4072', '0ea6cb5416dfeb41', '2246a06adeacc230', 'c7a425192f633774', '785c577c10d1cd0f', '0c1ac606620e5238', 'd683f1b0a075297c']; context = [[198, 271], [65, 142], [27, 108], [66, 123], [41, 89], [25, 70], [119, 191], [113, 185], [16, 99], [30, 95], [47, 98], [0, 74], [90, 168], [0, 76], [54, 140], [9, 53]]; loss = 0.017855 low_pass_filter = 0.300
+Epoch 0: | | 21689/? [3:47:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 21690; scene = ['4da36973de5227de', '137580e9c0646c73', 'f4279ea4e3468e86', '1f091d8458c5d83b', '4359a06de608247b', 'cf6fd75ffa40dc50', '0e0bf14b6085e811', '63982f095d5089b0', '8df1675f6541269f', '5ae14b01a500682a', '9da1fa15af1eae3d', '67b3a3c355535c14', '5b39d198ee235761', 'ea0d305c9f4bfbc3', 'f4b964978146e11d', 'f0a29e4c71927073']; context = [[2, 82], [3, 53], [18, 104], [0, 81], [0, 61], [0, 80], [0, 65], [141, 188], [8, 81], [78, 164], [85, 151], [188, 237], [115, 161], [24, 100], [117, 184], [3, 86]]; loss = 0.014590 low_pass_filter = 0.300
+Epoch 0: | | 21699/? [3:47:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 21700; scene = ['f2d39488e2f97502', '3b807d242f762c84', 'a5b5597f4927d94a', '9782a6bef3692f75', 'df98797933696d32', '1c309c469ae5fdd4', '79ee3fe7cb3f5596', 'a0771ce83b8273d7', 'd8dcea739eefd288', 'a73f18310fca46ee', 'e67a6379398c3e3d', '0c2de6c5be346d3a', '1218972a2e7215e3', '4bbe383499f58733', 'b69e1ebc472b99b9', '53f385284a6dfb3f']; context = [[30, 113], [81, 165], [3, 49], [41, 112], [27, 110], [29, 105], [8, 62], [163, 220], [19, 102], [4, 67], [1, 58], [6, 90], [24, 69], [6, 52], [13, 73], [76, 160]]; loss = 0.014058 low_pass_filter = 0.300
+Epoch 0: | | 21709/? [3:48:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 21710; scene = ['3285acf4e36fa9cc', '3a2c878e7c867c5c', 'f603fb7c184a9103', 'e0f00b1ad75939a2', '552fe4256228068d', 'ae607ae68787458a', '7c95dc0cd55a7160', 'e73c983fceb6c907', '31304e5e03a0a335', 'c32c8f745ff1a5f7', 'cc86a5c7153ad651', '2535d1b64b03e1e7', 'ebc5a6bd55511e51', 'e20bcce405ebc05a', '804c8a7e019f74c9', '67f532ee7b3422e9']; context = [[14, 61], [189, 252], [28, 86], [64, 134], [0, 54], [1, 83], [46, 118], [117, 187], [113, 161], [43, 95], [2, 72], [19, 75], [47, 123], [25, 106], [147, 212], [6, 86]]; loss = 0.013619 low_pass_filter = 0.300
+Epoch 0: | | 21719/? [3:48:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 21720; scene = ['13315e22e6006d81', '560e435b0b0dbb7d', '1c34e3c57f481afb', '305c444f0ac84615', '974067e61aa0d408', 'd537424645c19bac', '725e9b2881c14339', '72bac7dc0c3a7f6d', '08891ca55eb55112', '4320e900cf5f7074', '77ace1e7ac8d2492', '75bd48450ea50266', 'c5d56903d7ae7f56', 'a4ca4b8b54598cfa', '7b914f996081f191', 'a54e82e91e5f96d6']; context = [[31, 114], [2, 66], [1, 51], [0, 66], [120, 201], [46, 130], [3, 55], [175, 243], [3, 70], [4, 58], [45, 113], [102, 149], [21, 78], [15, 81], [18, 78], [34, 79]]; loss = 0.012999 low_pass_filter = 0.300
+Epoch 0: | | 21729/? [3:48:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 21730; scene = ['d63314ee9d11a5fe', '12911b4f97d706b0', '62e480eda89b85f4', '6e246607f36b97db', '4d978a6e2b9a1d20', 'cc806d390079344d', 'ad8b08f786657b96', '9c368e8d0895586e', '675c0b74e1f0cf54', '3cc081dcad5795e4', '4314832d98488d05', '6e311ac76332817e', '284eb50a660a09cc', '445575852ced8759', 'c61dcb999934a249', '12fef8590134358d']; context = [[86, 152], [64, 119], [1, 51], [1, 58], [0, 49], [53, 139], [0, 54], [30, 86], [39, 103], [1, 64], [87, 138], [117, 172], [25, 73], [0, 73], [18, 105], [11, 63]]; loss = 0.014510 low_pass_filter = 0.300
+Epoch 0: | | 21739/? [3:48:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 21740; scene = ['1be98df85c7a1b55', 'b580a3428b44251a', '06a618829b0086cf', '17544f453322cca9', '7ace42c885ad095b', '1a3b681db7fb0103', 'bf61e93b565a7f33', 'e10fe2dc43ce5345', '1cb44cc657bd9143', 'b802eea54f0413e1', 'ee8b66081c66fd87', 'c7f40ee37d846084', 'b3f2123abee05413', 'cb19ddfabb8e90d5', 'ff2fd59e055b0b79', '3c7982c80f577025']; context = [[9, 68], [79, 141], [140, 219], [2, 53], [48, 107], [24, 85], [17, 74], [19, 64], [22, 87], [28, 88], [111, 194], [208, 255], [85, 166], [60, 107], [22, 86], [168, 218]]; loss = 0.014237 low_pass_filter = 0.300
+Epoch 0: | | 21749/? [3:48:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 21750; scene = ['a99705ae70b64106', '34c71b535c38bb77', '3c9bbc5427f35f73', '0cdbf9b9bdbdd5fa', '0821758f2616432e', '540daa97e9bee596', '54d4ced992ef0be9', '0be2c9e2e366ab0a', '0834ab5179e2e875', '248959503883334d', '2285f6706d6df696', 'a36c0067d12abd5a', '9b1f29d698a94761', '21e8738f3faaccbf', '366202bb84f9a518', 'a38b5ff05cce2c80']; context = [[119, 194], [17, 97], [4, 58], [11, 62], [70, 128], [106, 164], [81, 125], [0, 48], [5, 70], [36, 122], [17, 94], [15, 86], [3, 81], [57, 109], [32, 88], [192, 257]]; loss = 0.017894 low_pass_filter = 0.300
+Epoch 0: | | 21759/? [3:48:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 21760; scene = ['9706ad8d3719c4bf', '040e15b7fec48a42', '0bae86f107c0a857', 'ac2a95b9a8ee4bb6', '0b00169200aecab5', 'dd37eb21ca81c238', '9312ff4d2fef4940', '0ca6052024f0dfa9', 'c1e2c3bb8912fa8d', '091b5bbc880a6437', '9ac5d573346e3f0d', '7c267ee82628088a', '1113e6aede78e6e7', 'dcbb0a79eddab29a', '3d86e0fe4ab16713', 'bd06a57c210f4c2f']; context = [[51, 111], [52, 96], [20, 91], [2, 48], [40, 91], [2, 76], [8, 62], [14, 74], [37, 107], [0, 77], [2, 55], [29, 87], [45, 132], [74, 122], [6, 56], [0, 46]]; loss = 0.015569 low_pass_filter = 0.300
+Epoch 0: | | 21769/? [3:48:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 21770; scene = ['02e1c042a514e0cb', '575979a8750fbd67', '28d1ede0a9882172', 'dbd909b37336a7d4', 'd79997adf0e1abf9', '91ea7e8b11190fdc', 'b35553efd3f434f6', '1357d340440e8462', 'e2b98599dba68579', '546bd8e2d7bce1c3', '62dfdebbca369218', 'c35a9be3aea62e68', '5764720de0f328a3', '44e23b277c9e3a0c', '314e7a92a949625b', 'f356a31315da1ce8']; context = [[1, 79], [59, 115], [93, 137], [7, 64], [18, 98], [113, 173], [16, 77], [40, 87], [139, 185], [0, 48], [9, 81], [0, 63], [2, 61], [137, 211], [29, 100], [9, 89]]; loss = 0.013754 low_pass_filter = 0.300
+Epoch 0: | | 21779/? [3:48:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 21780; scene = ['8744d594a6b6f3d1', '1cdf0de0c057ee6c', '4b7052ebde7c2201', '9b7da6330793c183', '7ca70ebea20f9f0d', '4a89bbba2234db55', 'c994cebdcebbe16e', 'eb9c6d0de5a8d7b1', '2c7204eaa40a2ee4', '0a013a7ad5bdecd7', 'b567c22340fd87e2', '18d54ee95eddac1a', '3de1498cc3dc5051', '7ee233bf0f5ae3e4', 'b854657c0b1d0249', '5e5f701fe882a93b']; context = [[133, 199], [24, 90], [19, 104], [0, 52], [88, 156], [14, 82], [2, 58], [45, 100], [78, 158], [22, 71], [17, 62], [1, 53], [2, 56], [23, 100], [1, 49], [6, 60]]; loss = 0.015470 low_pass_filter = 0.300
+Epoch 0: | | 21789/? [3:48:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 21790; scene = ['a2649f4527694b42', '942e3250ed472323', '4ab0a6c6a95b0be4', '4a80796bbd808314', '90e00093cf230e1e', '8c7023aed11519be', '34da68cf2bcf2b7c', '290646274ee18fc3', 'dfe1ecaeafaedff6', 'f42f37e7cb438287', 'c86e913c788a6c0f', '7e53bc6da12b71db', '97db2dd2f407388e', 'c2e7607582fb8af4', 'ecd0d0bb2819ae9a', '9416bedb61dd7c0b']; context = [[4, 64], [15, 72], [3, 62], [84, 129], [86, 172], [34, 81], [168, 244], [5, 69], [18, 75], [12, 65], [119, 190], [31, 80], [76, 129], [5, 49], [96, 150], [1, 54]]; loss = 0.014408 low_pass_filter = 0.300
+Epoch 0: | | 21799/? [3:48:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 21800; scene = ['25bd820746058fb5', 'd93de5f6c62c01f3', 'cb09920c02a2b6bb', 'c7d4d5977857ba5a', '9569fcfe82105f38', '37578ce7a19d91aa', '3e68b6b7bb281e94', 'fc8aa2c335c15eb9', '74c2c2c5287346b6', 'db61ac0ddc21d1c9', 'aded09e472c481df', 'c27a58dab30fbcc2', '5f1eb519a6b1b975', 'ff1d2975de62c75c', '40655ef994aa4830', '65ca4812c80ba806']; context = [[52, 100], [26, 88], [117, 204], [80, 158], [99, 171], [12, 87], [18, 94], [43, 96], [38, 84], [151, 209], [2, 76], [22, 109], [68, 127], [69, 149], [68, 130], [3, 49]]; loss = 0.013494 low_pass_filter = 0.300
+Epoch 0: | | 21809/? [3:49:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 21810; scene = ['cb7ea96f12ceed00', '6f70b8b96a4b3dca', '95317d58734b4c15', '6d6368bfdb2564a8', '4474d194f5b20728', 'd4e5b689bb8bc4a3', '267652292cce84a3', 'bcc2187b08eddbf5', 'da68c805b37deb5b', 'b937245ac95ab2b0', 'd4422938cc00c968', 'bbe0f1533f35a656', 'eb1b7a376716b76f', '14e6c77754229980', 'cbd3e812b48f4c79', '75801304d597c30a']; context = [[5, 51], [134, 178], [36, 123], [40, 115], [82, 136], [25, 98], [55, 109], [35, 94], [51, 119], [0, 65], [33, 104], [51, 100], [3, 85], [123, 196], [201, 272], [5, 89]]; loss = 0.015466 low_pass_filter = 0.300
+Epoch 0: | | 21819/? [3:49:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 21820; scene = ['37270249573b5fef', '3301c6c4f8324fb7', '890e507d5a12b8a8', '583dfb028aad48a2', '79eaf9a487c5de91', 'c1785398ae044ecc', '010fb4b5e0e37c71', '48dd32a0f4a2367b', '49e2ff49e509f289', 'fe18c2f228437463', '5d11abd1b3a2c610', '9c981a5948974abf', 'b28237b49ddd8334', 'f55cb7b3e9576297', '04db0c74a87be8d8', '940a54fc74bf6989']; context = [[23, 71], [74, 160], [5, 76], [1, 62], [148, 195], [17, 71], [11, 87], [19, 70], [86, 155], [97, 152], [25, 89], [6, 57], [0, 80], [70, 148], [12, 76], [33, 79]]; loss = 0.012206 low_pass_filter = 0.300
+Epoch 0: | | 21829/? [3:49:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 21830; scene = ['fec0013fa8a83032', '3a9cf9b68f41334a', '30073241129f1b45', '9aab81a10733d402', '6584c6557fa7f8f5', 'a122a08c01ee327e', 'd1dd88cc2ddcf5b9', 'e46b29fc12390c9b', '5ee2d8b0a1718221', '136699691d5ac532', '60fb060caf4e0c64', '77cb8d2a58fcc095', 'f3e4e6fa5841ea0a', '93b947809d5bb994', '51c0bebabb18c410', 'f011ad5713613c52']; context = [[204, 264], [141, 216], [136, 185], [53, 121], [168, 243], [5, 64], [58, 102], [161, 217], [5, 52], [6, 79], [85, 142], [6, 59], [96, 147], [161, 211], [96, 177], [25, 100]]; loss = 0.014355 low_pass_filter = 0.300
+Epoch 0: | | 21839/? [3:49:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 21840; scene = ['53ee9e513ce2bbd3', '16cf103f5cb7dc61', 'b6a9bc7b9e0ddd26', 'c052c16c408b7d9a', 'e53d154fd5a3e82b', '24fc3a21dd069c0c', '697f19af3b7bb831', 'f69d162a045db893', '76e66bbabbfd20e0', '3421adc5189bec72', '55647264885c8a65', 'a984a212ae86b726', '3ec1700f693ace8d', '57ae814856a6397f', 'f4f491a9b022cef9', '449f54d7d6c2f64d']; context = [[26, 108], [11, 64], [0, 45], [55, 142], [2, 63], [0, 74], [25, 78], [42, 117], [20, 107], [48, 121], [43, 126], [4, 62], [13, 65], [53, 120], [195, 258], [3, 55]]; loss = 0.013026 low_pass_filter = 0.300
+Epoch 0: | | 21849/? [3:49:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 21850; scene = ['4ebe9b5ae20410d5', '4d37c24ac15416d2', '497f9fa775eb4000', '25981436106d621d', 'e31db8399a93a621', 'b6769d0c4be27610', '7cc4e544d7413f78', 'b982e419d14c443e', 'a037d2380c88cb07', '63defb4f4156976c', '25300fcf479de17f', '3603128f53a4ed0a', 'bf457ef05a5ff4a1', '94e15ba487af3b15', '2ac51dbf19b5dbbe', 'ce40041f37ead09b']; context = [[12, 61], [5, 64], [15, 72], [10, 95], [19, 84], [71, 152], [0, 80], [0, 55], [59, 119], [45, 97], [5, 63], [4, 59], [0, 85], [77, 142], [27, 77], [0, 78]]; loss = 0.015455 low_pass_filter = 0.300
+Epoch 0: | | 21859/? [3:49:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 21860; scene = ['4b612eca55fc46fe', '7e0a4040418d94bb', '411e56c382ab68bd', '9c6afc23093a8433', '8c8903dd71f96459', '3e0232925959536b', '4683fc2de32acba7', 'de1c9674255ba611', 'cd75d63480dc9b19', 'fa6cb78e1503d22c', 'ef868db391c2ff62', 'ed607afe10a81281', '2796da75bcd72d11', '49bfb5473fa165c2', '5d1cce2cc108112e', '0e7f80803adb73f5']; context = [[86, 136], [159, 209], [47, 115], [100, 157], [2, 88], [20, 93], [47, 132], [10, 56], [25, 89], [17, 65], [144, 203], [13, 58], [13, 85], [19, 85], [6, 50], [3, 85]]; loss = 0.014509 low_pass_filter = 0.300
+Epoch 0: | | 21869/? [3:49:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 21870; scene = ['47af32f964c81bc1', '75c89a32bc3a65d0', 'a9cd1a8fc1fa2269', '214dd38c347781d0', 'f85921f42c5d98d7', '0751a2dae2b35dcd', '5c0e2a1f0ca1a894', '930f0a917b4cfb3d', '4cff16e51b60bc1c', 'cef967e6c2895c19', '054deb949142152f', '06a2e5bec5c290ff', 'cdd61981792b29b8', '844febece1121b36', '2370a07a0d1e7930', '0723036aaffa8c75']; context = [[5, 58], [27, 102], [21, 95], [21, 74], [11, 61], [88, 136], [38, 103], [1, 52], [53, 139], [192, 252], [1, 52], [185, 241], [73, 132], [0, 81], [60, 135], [167, 239]]; loss = 0.017973 low_pass_filter = 0.300
+Epoch 0: | | 21879/? [3:49:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 21880; scene = ['ea0a7e19773b74be', '8026806102c7e1b3', '32026eaf9365e7db', '634550313f4a173d', '992f7352af096a79', '714191750f8d607a', 'a04edea0474406d4', '2321b7480392d727', '7cfe674e154352e1', 'c70a7a553169a8fd', 'ac9cccdaaa5a82e5', 'f5eb0f156e32645b', '60e0925e79a6c253', 'e899e939dd9774e0', '502774a6c8eb28ba', '36f89cf6ea6d7736']; context = [[18, 84], [12, 76], [65, 134], [17, 81], [15, 62], [27, 76], [31, 118], [28, 114], [25, 92], [51, 108], [42, 129], [76, 123], [114, 198], [35, 86], [19, 67], [52, 104]]; loss = 0.015856 low_pass_filter = 0.300
+Epoch 0: | | 21889/? [3:49:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 21890; scene = ['40376e9c2cadecbf', 'bb32e9a89ca9387e', 'd35650707515c2cf', 'acdf5328ac922747', 'a2f534dd3e493ce8', 'a781aa9c808d47aa', '1a3a20eca34cffce', '13e0eb10aa5c845a', '39e7fa32d953fa6e', '8255b64ea7989de6', '98fe65e85f1a7b05', '3172fc3016b29bc7', '40f0c4c85a5f8b6e', '07c12f3c5aa008e7', 'e41c005265b2a44a', 'f7f3a0fc0824b3c7']; context = [[66, 145], [181, 225], [56, 143], [1, 46], [34, 101], [40, 88], [15, 95], [1, 71], [82, 144], [6, 60], [35, 102], [23, 94], [86, 130], [11, 60], [46, 95], [18, 88]]; loss = 0.015135 low_pass_filter = 0.300
+Epoch 0: | | 21899/? [3:49:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 21900; scene = ['33913957b62dabc4', '47574b6b30aa47aa', 'f383a966eca19483', '4aab38e2291002e2', 'b475ad72dc270b12', '595a49693a902524', '93da955d2a4af2bf', 'ae60de24dca7d5c9', '2f0247e8c61a0a1e', 'fa88be2d4c570002', 'a40eafa51fff8699', '612e01c3b322c6c9', 'eee620ad46daec61', '70946b67580941ca', '7244471b73942d20', '88c2baa2c5c3894b']; context = [[22, 110], [27, 88], [70, 129], [131, 202], [57, 111], [0, 78], [2, 82], [8, 57], [32, 115], [175, 248], [11, 89], [26, 93], [31, 113], [6, 73], [37, 121], [17, 66]]; loss = 0.016302 low_pass_filter = 0.300
+Epoch 0: | | 21909/? [3:50:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 21910; scene = ['ac5122b9a344d3be', '72b4959b43d63649', 'd848b9acbb7e79f0', 'd19bc02c7a2c4a05', 'a6792878dad60243', '0c1b1ea787e6a5e5', '6abfb2e52aea1a65', 'b1e83960965e92a9', '215185a803534ca3', '9bc173c816b90dad', 'e3d91a909a078c6c', '37e479a89290ae52', 'a3427e7e23a23b2f', '5df49d0775250a66', 'c9e55a597e009625', 'a11541e3f9ebccd5']; context = [[31, 87], [1, 82], [5, 72], [88, 171], [11, 93], [18, 97], [55, 123], [5, 82], [106, 194], [2, 64], [38, 95], [15, 72], [23, 93], [169, 242], [150, 194], [30, 116]]; loss = 0.013578 low_pass_filter = 0.300
+Epoch 0: | | 21919/? [3:50:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 21920; scene = ['d0d25dda60a6048b', '77d020db1dda0515', 'e4f99a9aaf261844', '2e1c9ec1ca255a16', 'df5ec669a18bd867', '9490f47618eac025', '2d3988d0393222b0', 'e891c0b9f2a7d880', '57defd7d138f09f9', 'f4c904d6fb4a2fa2', '0777f9999f206815', '1313acf0c228add2', 'f8cf613780724fb8', '416b3dd5d7cd95ce', 'e39f3171648ba15a', 'b9ff5ad117ad6b24']; context = [[26, 81], [7, 79], [36, 80], [107, 192], [43, 115], [46, 118], [16, 104], [0, 59], [1, 71], [109, 190], [23, 93], [13, 61], [114, 159], [0, 56], [29, 113], [147, 224]]; loss = 0.017623 low_pass_filter = 0.300
+Epoch 0: | | 21929/? [3:50:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 21930; scene = ['6e022744f8823ba4', 'e4c4750ddc1a58bc', '3f32a9e82d3e1bf0', '34ee4b7e062656b6', 'eba3604d6d93cf24', '476081f1477b4542', '3280ed16aa8bb96c', 'e791f0a53b27bbd5', 'e1070e8e8fe9d84c', '6e3b71d7ff24f81c', 'a814d663d6af2674', 'ab4e1a007da994fb', '053a8ffc1fecb90f', '6f6897a5825cb0ba', 'f613a9e89ae730c0', 'd738990227f432f6']; context = [[67, 123], [31, 114], [4, 60], [14, 73], [29, 81], [2, 48], [48, 112], [11, 78], [38, 113], [62, 116], [6, 50], [17, 63], [21, 100], [99, 171], [24, 88], [13, 71]]; loss = 0.012691 low_pass_filter = 0.300
+Epoch 0: | | 21939/? [3:50:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 21940; scene = ['9c023f327ece2911', '8742bd2ab32b9163', 'ddc6e8abed84d947', '33d38bd50acba191', '95f22b8591bf4be2', 'b062a28145350c16', '0c6abcc734bb3112', '202e6eee20bdcddf', '243515e0bc44ae29', 'db139805c0d52235', '3222c6f65e953650', 'd0c4f62ff70c6daa', '1baf2b5812122e3e', '49acfb6491c3ed60', 'd101ed7d57d47b7e', '18a6c0778918ffbf']; context = [[19, 73], [4, 54], [101, 189], [3, 56], [41, 87], [36, 82], [167, 216], [17, 101], [0, 74], [35, 121], [0, 85], [29, 81], [3, 49], [37, 113], [11, 60], [25, 92]]; loss = 0.013725 low_pass_filter = 0.300
+Epoch 0: | | 21949/? [3:50:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 21950; scene = ['3e97cc3224b13bea', 'f1b1943a6c6b8dd9', '0157ff9c22f6e881', '4243a877833f3e39', '1b1aef5cd100d7b1', '02aefe31b7a71fac', '4cc2d85eb52c39a4', '535befbe41a1832f', '4d2adcb584111f9d', '056f1f2bfde5fb21', '6bde4da4cdc53d65', '6d79d1b2ebc6339a', 'ad9537b068a7a2b3', '0378dee255b839bb', '214661ea5a7a9f72', '51505578d5230cf5']; context = [[4, 75], [27, 77], [7, 64], [183, 252], [57, 125], [1, 67], [27, 71], [59, 110], [0, 45], [9, 70], [2, 61], [167, 238], [56, 122], [122, 188], [191, 246], [83, 167]]; loss = 0.019799 low_pass_filter = 0.300
+Epoch 0: | | 21959/? [3:50:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 21960; scene = ['dcebdfce0a2e58ce', '2c4d908d5e4461a7', '996c2ee081cda2d2', '3d558b33e360e107', '292ce0e1c772a2f9', '1db027885e90c8dd', '5d54686ded433477', '7c4216f5c1228f5d', 'f0dede73d7704d1f', 'b215bd4e6fb3908e', '1a314c79785c4dfb', '7b371be1f5174844', '855462aca11242cc', '96511adf959795aa', '0e85f9c3973b1102', 'bf78e74b9709529e']; context = [[0, 47], [22, 88], [84, 162], [0, 47], [13, 62], [118, 165], [6, 57], [0, 80], [3, 71], [195, 268], [102, 173], [100, 171], [73, 141], [100, 163], [224, 270], [126, 190]]; loss = 0.012109 low_pass_filter = 0.300
+Epoch 0: | | 21969/? [3:50:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 21970; scene = ['620dfa4e0e4d9b48', '63dadaa5698812a6', 'd9c5fb043f61f92e', '96923f730119a371', 'd1569d382b80aa6a', '0d13d31b09170e94', '21b60699a8758964', 'cf1a708223033c48', 'a47d3c4e370778f5', 'e33bbac575dfc1d7', '5763cbee9140b5d1', 'd2d46a53ce85782c', 'b1130040cfd2f90d', '7edfe804c8e458c0', '3f93267f27496d70', 'ed15b35ca2513c63']; context = [[33, 91], [151, 208], [54, 107], [3, 84], [65, 138], [14, 80], [19, 81], [19, 85], [2, 67], [20, 64], [114, 195], [29, 112], [20, 67], [60, 111], [6, 66], [7, 87]]; loss = 0.016059 low_pass_filter = 0.300
+Epoch 0: | | 21979/? [3:50:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 21980; scene = ['465ce15174cd7c62', 'ef1bcff4381798e3', 'd74e7a16f611c1f6', 'a55ae09e81f6e314', 'f592013dce557cce', '6ba8a05650092511', '5de7a8c05f79bd08', '36b91d574778ca45', '0e3c0134e244b22b', 'de8e8e917ea9ecff', '1a8246c03de406e8', '8d035bc693a9862a', 'ef191187096ac71a', 'c29fa2d4c02c7ab0', '8c9d5935dacf2a41', '4e064993599076dd']; context = [[4, 77], [0, 56], [3, 60], [5, 65], [148, 232], [55, 123], [149, 214], [115, 203], [14, 95], [146, 234], [2, 48], [35, 81], [3, 55], [36, 115], [22, 77], [50, 97]]; loss = 0.015045 low_pass_filter = 0.300
+Epoch 0: | | 21989/? [3:50:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 21990; scene = ['80acbea9c3850c4c', '6598c4db67d3f87e', '84a596d39c5189bd', 'ff2333bce3662cbc', '45fb1347cd3a5eff', '30512795ac2bb625', '1b8f8a9698642eb2', '571e0a97e57417b6', '13cdaa0c54689404', '92a3302da7b5de7d', 'ec9253d54004a135', 'a2afc1a24ea1b081', '047dd96a427c9d53', '284b209716ea2217', 'a6484a209be598e1', '3378ad554d3c86f2']; context = [[10, 69], [153, 241], [71, 116], [0, 52], [131, 177], [158, 231], [3, 80], [8, 81], [21, 93], [0, 46], [14, 90], [1, 65], [16, 70], [40, 87], [42, 89], [120, 167]]; loss = 0.015157 low_pass_filter = 0.300
+Epoch 0: | | 21999/? [3:51:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 22000; scene = ['13afba22192e2919', '42a118392a6d7d4f', 'c643352d8ccc08d5', 'e07365117a8b4c36', '6c63e747c6ccac2e', 'ee605ae319bbb3e7', 'ab010f133e061593', 'c133fe1ba03631b8', '153bce3dee55a133', '15c9a1e812246b15', '1164844756dd90a7', '964b5660d29e4821', '1afb80edb0fa9ceb', '361f61d1543775ba', '95579d00ca4555e0', '03f725b8895fb6e2']; context = [[18, 90], [0, 50], [39, 105], [20, 73], [12, 90], [58, 137], [51, 132], [39, 114], [7, 70], [1, 79], [59, 130], [31, 92], [11, 61], [63, 148], [14, 64], [5, 72]]; loss = 0.018669 low_pass_filter = 0.300
+Epoch 0: | | 22000/? [3:51:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.0validation step 22000; scene = ['b3954464d00ffcc5']; context = [[0, 61]]
+Epoch 0: | | 22009/? [3:51:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 22010; scene = ['a9999b99dd4691cb', '8b3850a90cb424bd', '9b8c18ba73e39684', '303d67a3e601258d', '9c2479fffec7df76', 'dfbdfa2009b1c628', '63a8ae5fdd8d4ef4', 'b1f1c12f0c454973', 'c4a0a83c57a88c2c', '87e1fbed34285e0a', 'b0d138fdee349f71', 'e01aaf7d5a80b5c0', '0e6c59e9cacbe147', 'b620ffb62a299ec1', 'ca8c1158ff1714b6', 'fbb1b75783056c76']; context = [[85, 143], [134, 222], [103, 158], [3, 71], [69, 128], [84, 131], [57, 138], [63, 119], [3, 57], [1, 85], [4, 62], [7, 69], [1, 66], [10, 74], [29, 93], [71, 116]]; loss = 0.014525 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 22019/? [3:51:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 22020; scene = ['aee321e88081eb14', '733480741047ec53', 'ee0d5c09f39c05ab', 'ae13f514aa006405', '838b5149ad3eeb17', 'ba1e4de5c9e38f86', 'ab95f797d73c50d5', '52bdc8c419fcfd68', 'e7488536a76776fc', '411c0976614202ad', '6a2138b2b639f9fb', 'ab6cf8dbf75be791', 'f05d3d6ad73a0308', '3530f6b502c4870a', 'da33b0ed32034f61', '828e898c133cf87e']; context = [[26, 76], [0, 60], [30, 118], [68, 128], [6, 59], [84, 166], [141, 224], [9, 67], [0, 70], [32, 107], [11, 92], [33, 104], [33, 118], [56, 124], [162, 226], [13, 75]]; loss = 0.012830 low_pass_filter = 0.300
+Epoch 0: | | 22029/? [3:51:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 22030; scene = ['2eac8683626e6565', 'a4a490eade2a8afa', '1979f7ee0cc2bf8b', '2e650237ca8d6693', '1a7a5a79765ed74a', '6800afc66bce418b', 'cb588f2847ccd105', 'a3af37daf8b5c893', '7f2a99f4ff231259', 'eb0e080dec6bd224', 'a0000f5404d82f80', '17e47187a25b0dd5', '8ca93cee3643af00', '41e45fb36a6f26cd', '83cad5d80041582a', 'c189d9c69d668ae3']; context = [[14, 62], [1, 82], [8, 86], [58, 102], [66, 138], [24, 84], [110, 181], [10, 67], [11, 69], [9, 87], [89, 176], [60, 114], [0, 60], [160, 208], [12, 61], [26, 73]]; loss = 0.016506 low_pass_filter = 0.300
+Epoch 0: | | 22039/? [3:51:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 22040; scene = ['575b687507b7dba2', 'eff21a0a512fd6b5', '82c68ae3dff8ccca', 'fa2a932e44e424b0', '1d48beb841b5ecf6', '89bd3feab45c5455', '58295ed45e177355', '478531030bb5fe18', '4b15db7b359a0492', '4ed0cf754fc4454b', '223e2c052f914311', '509ba1d49682702b', 'e528d17adef1f1bc', '629c6f1eb4c7af9a', '4c9b371e4c24c2f3', 'a6ec4571131be6da']; context = [[7, 67], [14, 73], [88, 141], [2, 82], [38, 122], [14, 80], [50, 126], [2, 87], [0, 49], [11, 82], [11, 63], [28, 95], [39, 90], [10, 64], [12, 61], [78, 145]]; loss = 0.016867 low_pass_filter = 0.300
+Epoch 0: | | 22049/? [3:51:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 22050; scene = ['8f19401489503eec', '246c5b6a15519b6d', '18629a884d3d0687', '3283be94eb01798f', 'f63601b5eeb07187', 'cd62a0a0de875deb', 'ed4fb330d57107ce', '904d8b97e9e93373', '0b8b599b5df5692f', 'ffef9b51cbc0d8d5', '2887e0dcf4d3f140', 'cf0f04664365920b', 'e09381fbc7d917df', '84b0d7afb0dc1068', '20e7b7a88ff9e9b0', 'f122ea05abe66bf7']; context = [[47, 114], [0, 68], [25, 72], [9, 72], [38, 101], [83, 154], [3, 70], [10, 88], [49, 128], [1, 64], [1, 72], [186, 274], [1, 79], [5, 54], [38, 120], [5, 76]]; loss = 0.016554 low_pass_filter = 0.300
+Epoch 0: | | 22059/? [3:51:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 22060; scene = ['1e9228e6fd3f518f', 'ff03b01a47b02fa4', 'd396881ee4c975c5', '91641f310eabb26c', 'acf12b5145bffd0b', '996f0d29162e73a8', 'bc9eb448f8a0f11d', 'be1fa35918061542', 'a2cc0e3cc94bab73', '2dd9d42b3b490c0f', 'a76d33865b1cafa0', '530599df6ed3addc', 'b7f363477937adab', '451bce8d87b02ff1', '54b5b6484cdd1685', '33f91c80481f5a2a']; context = [[17, 101], [112, 157], [30, 97], [1, 88], [63, 121], [56, 113], [147, 212], [85, 153], [23, 77], [3, 52], [0, 81], [42, 125], [13, 96], [4, 59], [24, 106], [44, 96]]; loss = 0.018046 low_pass_filter = 0.300
+Epoch 0: | | 22069/? [3:51:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 22070; scene = ['8e8f419c0a3f575d', 'ee0a2a64579222e7', '02cedbe7761b212c', '43c4ce88526dd652', 'b34e241b08ecb7d0', '75b11ea5ac291933', 'c7d7e5aa7a9fb093', '450bc5150cd964e1', '8440d85bae3b464b', 'a883baeaf5486d4f', 'feffdda9d1d883c9', '6378d5d697b56aa6', '02c4828c2f604701', '53dfd8ccdd48b895', 'cab1c72e246a13b4', '8e7cc5c956a4cf95']; context = [[13, 94], [3, 84], [83, 171], [99, 154], [16, 84], [82, 151], [22, 81], [23, 92], [10, 73], [11, 69], [16, 82], [50, 108], [2, 53], [0, 75], [68, 155], [12, 76]]; loss = 0.015379 low_pass_filter = 0.300
+Epoch 0: | | 22079/? [3:51:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 22080; scene = ['b56e5327da27836b', '18dbf34ee0175fa3', '436e4e1b7504931b', '3e94e736d15703c8', '6058acc54db141c5', 'cc61a2c282667716', 'a93a506788789a72', '470dc27c2123d25a', '53078019d1b8b4af', '282554ad95f2111f', 'f8b94108d89ec159', '971c9593e36dae15', '48201de72ef30c1f', '476d0a5c62620693', 'a375d11b538e65a2', 'b934bb1208684110']; context = [[112, 197], [1, 69], [2, 57], [10, 60], [31, 118], [6, 72], [49, 97], [59, 114], [13, 65], [5, 78], [79, 159], [32, 108], [0, 51], [2, 55], [21, 99], [14, 87]]; loss = 0.029529 low_pass_filter = 0.300
+Epoch 0: | | 22089/? [3:51:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 22090; scene = ['76241fdd32002182', '6eefbb1aa302c3d9', '07e7737b84d40e6c', 'dcbf7bc637f98af6', '5403b46eaa12daf7', 'd336cf34bdd3d24f', '583a9194b09ca556', '83b86813d827c0d8', 'ce292dcee1a0d8df', '77170c7b30cba891', 'a6d4617c65500d60', 'c2f4ee94e6aedf42', 'b9f9d1c6f63799e1', 'd6d953d12d23fdc7', 'ea35f2e87a22cc27', '0eb0406f93082b02']; context = [[96, 179], [113, 193], [121, 173], [9, 75], [194, 274], [37, 85], [20, 92], [21, 90], [68, 142], [4, 88], [0, 55], [29, 80], [24, 110], [24, 72], [6, 94], [3, 62]]; loss = 0.016992 low_pass_filter = 0.300
+Epoch 0: | | 22099/? [3:52:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 22100; scene = ['e9f2b3b91f9a1996', '9c5add8591f693dd', 'b3f1d9e291979d4d', '6c292d2668c5df52', '59c7874807e993bc', '87246411aabecd27', '6e840c0f6855ccd1', '473a917e0ee91a80', '212560bf98f95251', '6854b28be879be74', '1f5eb53fc4c87e09', '29f0357322f1c8e8', '169e9f69b67f340b', 'ee69514b21676244', '1e2867c2e8c77d43', 'b1fba82bed8c51b1']; context = [[5, 56], [0, 77], [0, 71], [5, 49], [49, 101], [7, 61], [1, 54], [35, 86], [136, 224], [152, 232], [5, 72], [65, 118], [1, 68], [9, 70], [101, 176], [8, 69]]; loss = 0.014933 low_pass_filter = 0.300
+Epoch 0: | | 22109/? [3:52:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 22110; scene = ['b5563df07a94318a', 'd5933e65e109bd10', '11e3c17da5109ffa', '71a822c7743af7a7', '816849c78197db5c', '6c53ade4ba338955', '170e14dfe6029879', '892d9fadbaba9e08', '285889f46472d93b', '3c574f60fb9adfc7', '1db8db266bd7b824', '27707265ec825ba7', '790b6b3eb50cfbbb', 'eeb46689a3c4f87c', '1175385ea6249669', '515065d21eb01030']; context = [[28, 93], [35, 122], [2, 61], [31, 110], [17, 94], [24, 90], [129, 213], [63, 150], [161, 236], [14, 72], [21, 99], [1, 69], [2, 57], [22, 90], [32, 104], [17, 91]]; loss = 0.017762 low_pass_filter = 0.300
+Epoch 0: | | 22119/? [3:52:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 22120; scene = ['88567449a04bdf82', 'e83729b641130714', '93540f32961cf023', '80fb3505008bcb5f', 'f967408af665942d', 'e24da62a15bd2109', '3273a5974acd6705', '03c7e1fa9b3268c5', '4e21171ba32ced42', '08fc2ff373ab5df6', '4338e66650fe497b', '3103211bbc2408ea', 'e194ab9120ccbd35', '5ff34635d3805f71', '2b144457be7cb305', '40c43ac3d0c1664d']; context = [[3, 91], [7, 83], [3, 77], [14, 69], [64, 120], [38, 96], [8, 93], [7, 76], [64, 142], [5, 51], [19, 66], [15, 63], [4, 63], [40, 93], [87, 173], [54, 139]]; loss = 0.014004 low_pass_filter = 0.300
+Epoch 0: | | 22129/? [3:52:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 22130; scene = ['ae26c895abed5695', 'cfdae9ffd278d230', 'c03b5d44783fdafc', '200606f30d491ae2', '2e8464d78559e7df', '809ea9970b0c9ab3', '2cd22b0b79056c47', '13b21c39447af9bd', 'b8ff56a0adb40c18', 'ea6695c6dc07a131', 'fa2decb2d4a10f6e', '0d2c4ce15a751f72', 'f605345740d176d0', 'd1a08683d05999ff', '85756e711ab92320', '06d2876e8c40a3b6']; context = [[7, 52], [10, 60], [41, 120], [5, 68], [33, 119], [87, 162], [29, 74], [9, 83], [210, 264], [9, 85], [0, 46], [39, 102], [70, 122], [14, 101], [76, 142], [17, 85]]; loss = 0.017361 low_pass_filter = 0.300
+Epoch 0: | | 22139/? [3:52:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 22140; scene = ['1c33013e4017b339', '887b0ec90f2a1f59', 'd0bb7be92eb6586e', '4cb0004a77ec42a4', '5bf7784db67d5527', 'b0c446190c9dbff1', '3fb9031eadee0623', 'c3cdf7ffed793e44', 'eecb2f3a26f362e3', 'a94288a8ba34c885', 'e6d10d8d551ed1b3', '5b62aa29957e669e', '695c838ed469cec4', '2e6b4635f05514db', '80b4857e08b9358c', '951a2b9f2e0c99ad']; context = [[64, 119], [106, 151], [14, 86], [17, 91], [37, 118], [32, 114], [123, 167], [64, 127], [14, 83], [24, 80], [47, 94], [84, 129], [61, 108], [37, 111], [3, 51], [17, 84]]; loss = 0.018458 low_pass_filter = 0.300
+Epoch 0: | | 22149/? [3:52:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 22150; scene = ['c71922522800ec1a', '6c89dcff20255b6d', 'f5f74ed23b84eecd', '44f17fe29a4251b1', '20ba9ecd93c4aeef', '438086d6103b3662', '2bf48499de44cd67', '9c7d2b15b61d403a', 'ead11a79720faa36', '1c68ef09c2a2adf6', '7281282183a977d3', '5284dd49770861a7', '4ab606710f06af0b', '3d010d79a440ad27', '3184a8586eb9d26a', 'b790b4a50266bfac']; context = [[164, 249], [2, 50], [64, 145], [34, 80], [46, 119], [5, 78], [31, 75], [1, 74], [15, 75], [0, 47], [34, 79], [3, 61], [17, 78], [8, 79], [42, 122], [133, 179]]; loss = 0.011653 low_pass_filter = 0.300
+Epoch 0: | | 22159/? [3:52:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 22160; scene = ['4a14943578b95a8e', '0af2c96de56bf884', 'c7bcb6e6fb240827', 'c13bb399a020e3c3', '21c6f59110072ea4', 'bfc711e6a4a355ce', 'f923bd9d3baf0eb7', '813fc05653ddb0f1', '408705a2124e3533', '2e1b1c7f5ebc6298', 'ebf1ba56fafa1d76', 'f43d9c037fdf76bb', 'eaa29049e6fb86de', '5558afee288fc86d', 'a97bc33dcad99933', '1e79cfe6fe00649c']; context = [[3, 65], [62, 143], [7, 79], [188, 269], [92, 141], [64, 124], [31, 78], [29, 78], [40, 123], [0, 50], [23, 105], [115, 186], [14, 70], [194, 243], [7, 89], [4, 58]]; loss = 0.016786 low_pass_filter = 0.300
+Epoch 0: | | 22169/? [3:52:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 22170; scene = ['341602ce1687140e', '57fe6fafb7acb801', 'c2e57a68a3f262b5', '093a6f282f63c9f5', '361d4496a097d956', 'f402affd14f9c97f', '4b0f79a85d644b2a', 'f259cb1c473914a5', '1ff9cd57e85a8e66', '9acd800d5859f181', 'b339086354afb73c', 'c4ef0bf2411b53b5', 'ca5dd135bda87878', '2ff6d06aad464d0e', 'c70c119e9e72b27c', 'f690de9192fde161']; context = [[203, 256], [0, 86], [58, 131], [29, 96], [18, 83], [60, 118], [25, 100], [216, 269], [4, 51], [3, 86], [56, 114], [0, 64], [17, 65], [3, 68], [180, 242], [37, 93]]; loss = 0.013392 low_pass_filter = 0.300
+Epoch 0: | | 22179/? [3:52:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 22180; scene = ['da656fc4be49446d', '668a991c53434075', '172f00a993c91d33', '28e3ff32d7f2a1ea', 'd14cfc82d87e06ec', 'a5fec6ceab1a2f83', '7d57be178bfebe81', 'dde7a3bbc1ecfddd', '3a6d56deb88a939a', 'e9a353fc7558047a', 'cc90987857dcf840', 'facc36be12149a27', '5f9603b52f8a6144', '4167c7cfb2795df7', '0767a56c664541f0', '5698fedd6f3e244a']; context = [[52, 110], [41, 107], [0, 73], [1, 71], [33, 80], [47, 93], [40, 125], [96, 146], [7, 88], [10, 89], [5, 78], [41, 115], [1, 57], [61, 143], [192, 248], [58, 107]]; loss = 0.013422 low_pass_filter = 0.300
+Epoch 0: | | 22189/? [3:53:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 22190; scene = ['d0f9511f71afe975', 'b2d9d8616512d1dc', '33e06b0151d0c869', '2b026a3e98536fb5', '6b0f6154016a4fd5', '90b0bdba4d4964e6', '390538b9cebdc395', '2aa322a93bf1348c', 'a26a8eef6cddf578', '2af41ef10045d1c3', '5b1b90c3dcb8cb6d', 'dd3a46e3827c43b7', '7b0c59855bb150f6', '89a58a0b550f9540', 'fd8e3864e50ae974', '2ae0b4fbdb7956bc']; context = [[14, 95], [1, 78], [37, 99], [24, 108], [22, 72], [0, 53], [11, 96], [132, 176], [0, 64], [41, 91], [5, 61], [25, 101], [52, 123], [33, 112], [128, 182], [15, 66]]; loss = 0.014344 low_pass_filter = 0.300
+Epoch 0: | | 22199/? [3:53:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 22200; scene = ['8a884829ae8e2686', 'a840fa3c3c49ab15', 'bd5de4c24d27729a', 'd0a74bb17c56c058', 'c75420132c9168b5', '40d84d0f8ab92e70', '8110578b15c47f1f', 'eb210a3e80d6a0b1', 'f1e7b7bad2598536', '684aaf7f7b29f34a', 'da6b9c9d5841b108', 'f522fbe7b958f4c5', '681f1e6504d0a8a5', '03e7fb2f748ad61c', '06986030244ef46e', '0463216dbeb6db1e']; context = [[5, 86], [2, 68], [1, 56], [20, 67], [37, 104], [1, 68], [18, 65], [22, 72], [26, 70], [6, 54], [98, 165], [88, 152], [28, 91], [93, 156], [58, 127], [20, 101]]; loss = 0.014747 low_pass_filter = 0.300
+Epoch 0: | | 22209/? [3:53:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 22210; scene = ['ce2f35723c7978c0', '314c16c63fcaeb19', 'e65224a75999d5b1', 'dc10b2286a055d24', 'cac7c2e7183f7004', '7b87f392edb96ad1', '2bf0ef87be3c8f31', '81c21583062356a9', 'd7ecf657998ee676', '7ff6a746540ff73e', 'b8e3e36fbfd0bafd', '05eefc30d18c4cdf', '1b6a89b03bc3d99b', '38b9f9740e2b68ae', '9d1f5957211056b8', 'add63edd0fc1cba7']; context = [[19, 82], [31, 78], [99, 164], [59, 104], [4, 53], [0, 63], [144, 206], [107, 160], [130, 186], [21, 68], [13, 73], [107, 178], [203, 261], [24, 98], [3, 54], [64, 112]]; loss = 0.012691 low_pass_filter = 0.300
+Epoch 0: | | 22219/? [3:53:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 22220; scene = ['7efc8e58de522f3d', 'ac5ffad34ede2b27', '8b901a2a33f5ad6e', '14cfc11be2d81617', '8291ffa5d473ed6b', 'e8f40e73fd9848f3', 'aa85f1d551661c8c', 'e7cb8f00fca8b54f', 'bcbd3ed453c1d5c5', 'c3ed8d0890eca234', 'c46cc0b22cf0e2df', '2636a68b00cbb8dc', 'e62c24d01f556d50', '913f2b44ccd6d951', '7835372c86179bdc', '0a86a38b52a3dcfb']; context = [[16, 82], [3, 72], [2, 84], [28, 92], [28, 75], [62, 131], [25, 106], [18, 65], [7, 90], [89, 146], [6, 85], [0, 52], [3, 57], [0, 65], [208, 255], [39, 96]]; loss = 0.015153 low_pass_filter = 0.300
+Epoch 0: | | 22229/? [3:53:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 22230; scene = ['6817374ad089ff46', 'a3bc042b68a67193', 'd7b9f1dac0249ebf', '03036efc7c7ae3b5', '5a99fe9366d19a76', '6d957940e86de915', 'b24e1ede1a96a6a7', '4a3aefcc8d1bf303', 'd96254454478fdfb', '3a6f95f123a6734d', 'ea6ed2808e7a6b2b', 'aff1a276b88f95c0', '79d69af91cf6b1a7', '457542e5ba786e75', 'bde0ae0a61223088', '590d6f715d8edd9d']; context = [[29, 112], [26, 90], [2, 75], [147, 236], [13, 93], [5, 78], [2, 47], [3, 66], [22, 68], [110, 186], [19, 90], [2, 72], [223, 269], [67, 118], [8, 72], [21, 98]]; loss = 0.013263 low_pass_filter = 0.300
+Epoch 0: | | 22239/? [3:53:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 22240; scene = ['46cbc096a3273b53', 'a9c2a04a2e0289de', '7a8193d4fb72424c', 'd4dbe237dd780660', '5a02b12decdc528a', 'a5dfff7e0d310d45', '3fe41c4461489904', '492d58c60ff59717', 'd4170a3ff28c8efd', '69a87beb7f4b2215', '07f00b8c0aea9746', 'f344839ca7c971b7', 'd6bd4b0784843fdd', 'afb339803ef3b8e9', '0788ca0723d59c2a', '69fc02421193302a']; context = [[181, 255], [2, 54], [65, 128], [87, 135], [27, 87], [29, 115], [27, 76], [83, 128], [31, 85], [30, 75], [21, 106], [13, 78], [11, 80], [107, 158], [7, 58], [1, 79]]; loss = 0.015124 low_pass_filter = 0.300
+Epoch 0: | | 22249/? [3:53:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 22250; scene = ['db7acf41e2eae053', '96e4a25757e451fb', '6acddf780155a0ed', '0a4e5e726c134159', '4be26e4b5bb4ede1', '8442736e7c61cbf4', '3a6faefafd42faca', 'deb016737e2a83ce', '2a066c2a9633dc01', 'ad65905845be5ea6', 'ba9e1b7dfc1bf5f0', '15489fef442e5c6f', '1c9fe57aaaf0226b', 'eac4f4a370df3732', '133bb30aae9aff02', '18e162c051251f5c']; context = [[52, 138], [21, 94], [9, 53], [47, 119], [75, 135], [55, 105], [7, 56], [5, 80], [27, 116], [4, 93], [63, 116], [16, 91], [174, 247], [109, 155], [2, 46], [102, 153]]; loss = 0.016356 low_pass_filter = 0.300
+Epoch 0: | | 22259/? [3:53:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 22260; scene = ['689969f637e2e9c4', 'b9d969fad20ff6b0', '093a1513be64df04', '3ba890cda89bf635', 'c8618368542826fa', '077f091f15f38a60', 'e966f6d8d8710873', '6c409304be850e0a', '1df01e86ca84e747', '36039cdb6bc7e0a4', '3a53f0f0377f069c', '6b92ef0308e73624', 'a1a797c1ebbb9795', '86df32d875423029', '882a4bb1c3ff5449', '45ce6645effd86a4']; context = [[11, 74], [22, 67], [0, 82], [22, 83], [9, 57], [102, 188], [7, 83], [9, 61], [36, 84], [63, 125], [43, 94], [20, 100], [76, 165], [15, 71], [2, 88], [75, 139]]; loss = 0.015837 low_pass_filter = 0.300
+Epoch 0: | | 22269/? [3:53:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 22270; scene = ['d4c21b21fa236269', '27d36fd1255aed7a', '74812f0d1efedf41', 'd0bfa2fc0c632563', '9cb8cfd4c82730ed', '6659caf3c70435ff', 'c25b314716aa6b10', '0779daaad5fd0ef7', '17ac30279e61913c', '0160565c91c8654b', 'e6cfdadf048f70a1', '692a87e2b7ebc8be', '5bf7d6ec6ffb19dd', '2f311b2bbbeb5940', '2107f0bc2f004d1e', 'dee4ac1cafc21a46']; context = [[164, 214], [138, 201], [43, 127], [123, 170], [19, 70], [29, 90], [53, 127], [18, 72], [7, 94], [0, 82], [65, 119], [39, 97], [22, 105], [56, 123], [6, 67], [160, 232]]; loss = 0.016589 low_pass_filter = 0.300
+Epoch 0: | | 22279/? [3:53:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 22280; scene = ['cf705560e53638f7', 'ba1c15e73bfc4eba', '6c23d0b82faed662', '97db2dd2f407388e', '07bfe0e0500de7eb', '15d1a3b3fdfedbb8', 'e4aa6bb24aaa6dcd', '1d287ba5b3ba47ac', 'c49161c93cfc92e9', 'c21bf69143442a3a', 'e896b9fac2351c69', '4efdc41ae90785f9', '46265b0af1924017', 'f10a5801e857dd6c', 'bb3a8be86231059c', '838f2a96bb229475']; context = [[163, 214], [65, 128], [51, 121], [55, 112], [2, 79], [130, 178], [12, 61], [32, 111], [2, 47], [21, 85], [2, 48], [13, 99], [7, 57], [6, 80], [5, 49], [19, 102]]; loss = 0.013379 low_pass_filter = 0.300
+Epoch 0: | | 22289/? [3:54:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 22290; scene = ['65b786988a4bd972', 'd8ec4f596261d122', '04f87b5042cca6d3', 'bca513776f1d949e', 'a9caf4fcb2bca405', 'cdadb3960ffc1de8', '875839ca4b0de009', '5aaf9100d34579e6', '935a90bf15b8c7cd', '6b990b7b7e1842d9', '5dee435a268fbf38', 'a6ac9a6cc22cef98', 'bffbd3c67735eeef', '81df966eea295ac0', 'a42751218de3c92c', '7125ae35464adb5a']; context = [[0, 52], [1, 82], [68, 129], [186, 261], [41, 85], [37, 121], [9, 74], [12, 69], [36, 117], [0, 45], [82, 147], [180, 233], [98, 179], [19, 108], [48, 113], [21, 66]]; loss = 0.015028 low_pass_filter = 0.300
+Epoch 0: | | 22299/? [3:54:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 22300; scene = ['391e39cebb182202', '88cc7981bf10fdbf', '31699b991bb4839b', '4d1f2303dbdf2b5e', '3be767ed83fff943', '2bba4f98ea96daea', 'fd46ddb80c816b61', '045a9a81122cf9e1', '84157bfab55e3573', 'ef98b97970d1926d', '6e238645b2a85804', 'eb92f95542ff395d', '1ff35ccd15e08a8d', '12626eba886405ed', 'b8d55d4d98ec2500', 'bbb8a17d33b68d55']; context = [[8, 77], [25, 100], [216, 262], [5, 91], [10, 82], [0, 88], [116, 198], [79, 140], [6, 62], [30, 96], [109, 166], [3, 66], [154, 211], [195, 251], [75, 147], [124, 174]]; loss = 0.017438 low_pass_filter = 0.300
+Epoch 0: | | 22309/? [3:54:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 22310; scene = ['23f3accd6282355b', '37b648c40c408b53', '89a259054c86c2b8', '31b2b4402ca020d6', 'd9e0fbd08e604fcf', 'c2f0d80406d86b11', 'a50ad10fbaf3944e', 'b382d162cc864f82', '970767e29cf84f39', '53e3cefb76e02bed', '9ab202bff0564dc6', '539b45d381a384c1', '68a3b46fca433cb2', '3a2b8f56c88c71d6', '53ab12b2fa864f2e', '43af82aed919ea71']; context = [[103, 184], [98, 180], [54, 131], [34, 117], [20, 67], [9, 74], [4, 61], [54, 107], [113, 161], [6, 65], [195, 252], [4, 62], [55, 135], [15, 84], [6, 63], [23, 100]]; loss = 0.015748 low_pass_filter = 0.300
+Epoch 0: | | 22319/? [3:54:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 22320; scene = ['c4ed01fdbdc7851a', '5a848eab4dbf1a72', '633044daa78446e2', '75547bdf7b30e09f', '883b51d91d22e0d9', '736faba49254299e', '204d6f477f5b0aa1', 'ec3a84969ced5ce8', '01c0f4a6c7d1c5da', '3ddb95c68145489b', '63cde01a2b9416f8', 'c089f0d568b71150', '34b4e9d9f2f89286', 'efc65de7bfa7d9fb', '94a390910c87e459', 'f3313aa3e401cee9']; context = [[1, 87], [14, 78], [8, 52], [3, 76], [13, 94], [12, 76], [144, 210], [94, 169], [4, 73], [55, 127], [69, 129], [18, 93], [14, 65], [0, 45], [89, 133], [62, 145]]; loss = 0.016896 low_pass_filter = 0.300
+Epoch 0: | | 22329/? [3:54:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 22330; scene = ['2cd454a8c49f2576', 'f0bfa1ba98f8522f', '518e4eac5dcda1b9', '88d7ce03fb084faa', '6b7505b60f942d24', '1f6397ed4bae9353', 'fbecc49d4f8396be', '41ec9d364d4296c4', 'f2d3c811d5098a48', '0a72cf3652ccf6f7', 'efa4f653ae39abd2', '3254540edd04c409', '13ed7235f760ffcc', 'e541743618468103', '7b85aba10ee04b3e', '6a95aa83419ff7ea']; context = [[25, 97], [21, 98], [0, 44], [130, 188], [6, 59], [15, 77], [104, 159], [5, 81], [93, 154], [109, 186], [0, 50], [10, 59], [5, 92], [29, 90], [157, 222], [26, 75]]; loss = 0.029450 low_pass_filter = 0.300
+Epoch 0: | | 22339/? [3:54:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 22340; scene = ['ac37acbd99789540', '1cf2b8e0bc0a89ec', '3ff0da4ffa65091c', 'ae89438718649d1d', '1b038d91bdcbbf7f', 'ce33babd90a5ad2e', '2fc891cada0f22a9', 'a162cdb8ce63cec4', 'e5ced938ccba70aa', '5c62cf786dbe00a8', 'c8510dd2d98c4de1', '4d0c3e56bda4fd40', '767b618a563c7623', 'd2b7eb7053317a54', 'fa1ddac84aafd9b7', 'a1e4e09033c1fe21']; context = [[17, 65], [21, 95], [69, 147], [73, 153], [2, 47], [124, 189], [1, 87], [62, 141], [5, 91], [6, 58], [4, 93], [23, 101], [0, 65], [2, 61], [25, 96], [25, 91]]; loss = 0.015804 low_pass_filter = 0.300
+Epoch 0: | | 22349/? [3:54:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 22350; scene = ['c71f87337252c149', 'd60ef5aa38122e8c', 'bb81975fba728ff7', '7ec7f5a09683915e', '4375fc375ab1d327', '6892eed5da2f3695', '2ef2135e9a37e2bf', '8dbbda348bab6e09', '3650d51c6e815a8f', '4fdea40b861d535d', 'c26d5d12513a89f0', 'a2097aa005e2100d', '7e7304071e8c46bf', 'e3e9b976a7e5fb94', 'dfb732656fe8d87d', '7bbdce5fc79889d8']; context = [[13, 62], [70, 115], [16, 82], [65, 117], [129, 180], [0, 70], [5, 82], [42, 129], [23, 93], [46, 114], [60, 143], [49, 111], [4, 76], [19, 100], [2, 74], [19, 71]]; loss = 0.017299 low_pass_filter = 0.300
+Epoch 0: | | 22359/? [3:54:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 22360; scene = ['85c42b2f3ed8e9f2', '68a92ba311ba107d', 'fdcd78c4432bd860', '0fe6d0e400918366', 'b3d00cf94ec7c598', '2005f0e5c1dcf4f3', '006f41ee9800fecf', '8cf869157be6230c', '44d2f5ae8a130e73', 'b050a2d77eb9b60e', '162c744bcf4469e4', '5c9c06be50b78c13', '07457060bef3d9ee', '04dabeccd47224d5', '650461cf2ea0cb20', '2030c3b593086fcc']; context = [[2, 83], [114, 178], [2, 90], [21, 71], [38, 89], [25, 105], [16, 61], [42, 111], [46, 130], [154, 237], [5, 85], [24, 97], [11, 71], [0, 71], [49, 99], [2, 48]]; loss = 0.013568 low_pass_filter = 0.300
+Epoch 0: | | 22369/? [3:54:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 22370; scene = ['976c8a707ce214d1', '09e4013597980b6d', '5a62e1bb60e358b3', 'deccf4ba5d1bc19d', '643e9d9430dd1649', '7cb26f5ca9def3e7', 'fab8935910e8b3f7', 'ab6240176622f001', '442eb897462b402b', '0db2c3f2775880de', 'bdb299c9c8c1f815', 'e6c884e29d3fd3b0', '9b31d2cb5cbbcea4', '163767f16a78b79e', '76ae405bf2de98c2', '3dd55783dba98a3a']; context = [[11, 66], [27, 110], [27, 79], [54, 135], [17, 73], [23, 105], [5, 85], [17, 72], [52, 100], [173, 253], [0, 75], [182, 245], [160, 213], [63, 143], [148, 219], [24, 87]]; loss = 0.014471 low_pass_filter = 0.300
+Epoch 0: | | 22379/? [3:54:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 22380; scene = ['67fa25b705db9804', '360253c55aef692f', '0ae24a99df001799', 'c32ee937dbec7221', '9bce2bcb79cf0a97', 'fd859fb51b16cf6e', '3ab525a069df0654', 'f309247c0393e7c1', 'c8b2cc9cf104268c', 'bdb6b9b09bbcf91e', 'a87f290eed862a75', 'f180ec5076146d31', 'eae08bd3d5c892e7', '1fc6be701e92570e', 'e7f1abf2f955a76e', '0e09ac53bd1d91dc']; context = [[49, 137], [21, 65], [4, 60], [1, 47], [12, 101], [21, 97], [9, 88], [173, 250], [7, 64], [39, 103], [0, 45], [1, 52], [40, 115], [76, 126], [11, 92], [15, 62]]; loss = 0.013529 low_pass_filter = 0.300
+Epoch 0: | | 22389/? [3:55:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 22390; scene = ['29d754a48979d3ef', 'a9df52ac49e1dcbb', '69c0fb422d323773', '257c31a64a016d24', 'de3fb17dc1913a79', 'f22b0491bc90af5b', '3a75651c2d3168a1', 'e81c3eda0310ba4e', '40c8cbe8013be9bc', '116dd0818dd9560e', 'df11b2823a464dda', '7e435ecba3bcc6c9', '67b0fe8f8f97dae4', '1a7407811d6dc264', 'a1d6d93a20613660', '429cfdfb5c5109ef']; context = [[10, 84], [7, 65], [8, 77], [33, 112], [75, 162], [19, 70], [18, 66], [232, 276], [199, 251], [150, 235], [13, 74], [7, 66], [50, 100], [94, 155], [1, 58], [28, 95]]; loss = 0.014550 low_pass_filter = 0.300
+Epoch 0: | | 22399/? [3:55:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 22400; scene = ['ce1ba9200d3b5f9d', '9ad3892501064847', '596b334e38aa8db7', 'b6c3666142848b41', '03a2877625af699f', 'd5d35aa9abf0a89f', '23668135f32e0126', 'b94110a1578a1606', '223679033769414b', 'b29d69f0e6f21178', 'd5d88e90c900def8', 'be6403b9d3c63c88', 'eb3c963ce53be26d', '2da26f0219156948', '74df5a4e6faaa8f3', 'd2ac2d1d70334de7']; context = [[72, 120], [10, 74], [29, 73], [11, 75], [0, 56], [129, 184], [15, 102], [8, 52], [2, 69], [40, 87], [5, 86], [47, 94], [16, 63], [76, 120], [86, 167], [43, 99]]; loss = 0.014148 low_pass_filter = 0.300
+Epoch 0: | | 22409/? [3:55:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 22410; scene = ['a32fe83d6c449e61', '293f5ffbb5082083', '7dd0a2cb537a6cd1', '2075c775ac7a6381', '3455d3305ced9b91', 'acd56b77308abd23', '3553dbf249a73a6a', 'c06ef6a33440080e', '6365924c35575264', 'a998e749d3adb11b', '728376a4318ffe7d', 'ab89700368df0c34', '0187f9f8c80ea4a2', '7f97fbd2a01c6820', 'f1003c330038505a', '00f0397d5f6a855e']; context = [[16, 101], [1, 49], [1, 52], [1, 70], [34, 90], [1, 83], [5, 71], [125, 205], [25, 99], [69, 158], [10, 74], [0, 49], [41, 110], [23, 87], [23, 88], [46, 98]]; loss = 0.013816 low_pass_filter = 0.300
+Epoch 0: | | 22419/? [3:55:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 22420; scene = ['0851113d43080614', '8bfeda63acd405a6', '6a6aa6dcb1f34b33', 'bdc2a346d6dbf88e', '59690259eb3ec278', 'b4e1e88264f8183e', 'fa207cf6631c52b7', '899009619dae69df', 'cafa46fa5b5d16cf', 'f891469660dca930', '2fed64c174f5f350', '063a872c4c57294f', '3a3cacf70f6d49dc', 'ce8b16abd7113d0e', 'ccad848ce291de16', 'eb0bf3adf256fa83']; context = [[14, 61], [140, 215], [130, 202], [4, 92], [0, 45], [78, 130], [34, 85], [26, 98], [1, 66], [133, 196], [29, 88], [6, 66], [5, 52], [115, 163], [33, 120], [11, 65]]; loss = 0.014709 low_pass_filter = 0.300
+Epoch 0: | | 22429/? [3:55:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 22430; scene = ['cbf85e01b91b37f8', '5868a15689a775c2', '0f83192bb92f85a1', 'c4a371ac8ec1477d', '7d9556dd4064e105', 'a1a6b971d1ac8e0a', '73cc894b128d9801', 'b36da179d5f16e62', '5879bf6ccd97ef05', '3e763e3c28e87eed', 'd938c73738634cbf', '70239c9bc2e571c6', '9c99f5634ca58894', '3727bb4b44708f89', 'ee619cd24ce15a86', '6acee38e5863fde6']; context = [[19, 75], [0, 72], [97, 156], [146, 214], [42, 103], [33, 95], [3, 61], [96, 164], [2, 67], [3, 77], [11, 78], [9, 95], [5, 53], [16, 77], [10, 88], [0, 62]]; loss = 0.013868 low_pass_filter = 0.300
+Epoch 0: | | 22439/? [3:55:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 22440; scene = ['4d50d0f381e18888', '066f14037c220103', '6ab4f1994ae94609', '63152876b2962eeb', '42928282597bbae6', '01031c75336e0e03', '05b07df7b5443976', '1c5722cd92190398', '5df639b6091c31e1', '3bd8b6fc41cb1a82', '812f66c0ca94fcc9', '92e2c39c1b535214', 'a8d73f79bd0991a2', 'b130ee80182f5a4c', '5f50c0139db3d146', '78571463ec1147d0']; context = [[137, 185], [15, 88], [27, 90], [4, 49], [35, 84], [21, 65], [21, 79], [14, 66], [19, 64], [154, 243], [174, 222], [27, 90], [0, 62], [88, 172], [21, 79], [18, 75]]; loss = 0.012660 low_pass_filter = 0.300
+Epoch 0: | | 22449/? [3:55:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 22450; scene = ['aff6be365ac10e5b', '304bcbcf2387ac77', '3d51f33052da6b76', '445abb7aac42d3b2', 'f6f1f51bc8538b9f', '629e12b1a808926a', '0fd809b090bbed1d', 'de2fae8dc08aade7', 'a020feef33132bab', '9005a907bf9a54bc', '0313075cd35fde65', '36d85b0f38055e14', '63285420ba79f570', '7b1854aa0edd0d17', '3e5c85913fc7c0d8', '1bc87f3755e5876a']; context = [[11, 67], [1, 60], [197, 275], [44, 128], [1, 46], [8, 68], [86, 161], [8, 66], [7, 80], [54, 131], [30, 83], [6, 64], [4, 65], [58, 131], [73, 149], [12, 59]]; loss = 0.014170 low_pass_filter = 0.300
+Epoch 0: | | 22459/? [3:55:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 22460; scene = ['e5ac7a8f7c5833bb', '83a38e02cc9d4039', '3c14f27bac70fd51', '937b8fe370389763', 'bb14279f6abeb6de', '4e0b5a2a2a853c08', '50cd6da2b64f0268', 'e26ed4e91add1489', '0c1eae300054e3b9', '848b733827f1bb85', '7be7ccad58dd587c', 'b31dae3a8edd6af8', 'b887116c5ac0c3ae', '9de33e466a02ea23', '082c57765925eb2b', '6df08dcd841c4b9b']; context = [[60, 109], [67, 133], [39, 96], [0, 44], [154, 229], [12, 89], [121, 181], [24, 98], [4, 57], [0, 44], [113, 189], [115, 170], [47, 99], [99, 163], [44, 118], [2, 60]]; loss = 0.013678 low_pass_filter = 0.300
+Epoch 0: | | 22469/? [3:55:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 22470; scene = ['0f6f85f900c47557', 'aa1601b3c7e10e3e', '969eae779f4745e5', 'afe08596b2895950', '6c5e37d3a0fe6230', '26982d1d02e9afff', '63acaadeb84a31af', 'be4f1d3a9081ec93', '014f71bd22de9f37', '4fc52f6aeecd8f82', '639c91baba7b9b21', '63f819120b8d8a92', '560c5720aa4920fd', '9eab61e9851b04ba', '682946c1834cadb3', 'fa06053c189cf9bd']; context = [[0, 48], [20, 80], [2, 68], [57, 129], [35, 116], [11, 83], [47, 118], [139, 195], [130, 176], [7, 94], [5, 93], [1, 49], [173, 236], [1, 90], [161, 211], [9, 91]]; loss = 0.014903 low_pass_filter = 0.300
+Epoch 0: | | 22479/? [3:56:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 22480; scene = ['b5a5332b0270c905', '4e421f437623583f', '55547de472ec6dc0', '6e66c457e475a239', '7db6add2937e3476', 'fee419913751e69c', '419ad326be6abaab', '594abec0005340e8', '4b2f7bb82caea25a', '525228f8d23ba3c5', '6454b8eab0cfbd98', '4e2914a72cd9a8d6', '3aa0715bf6cf2124', '994520585af6cd0b', 'ab1b7103448aee28', '6e269cfbf064b6a5']; context = [[10, 91], [148, 221], [9, 86], [2, 55], [5, 66], [127, 192], [0, 70], [58, 105], [8, 90], [131, 180], [6, 80], [38, 103], [6, 51], [142, 204], [2, 57], [121, 169]]; loss = 0.012243 low_pass_filter = 0.300
+Epoch 0: | | 22489/? [3:56:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 22490; scene = ['673a43e8d456ef3d', '710b61129ca88970', 'aaa25e83a0ba9a36', '007203bffc9af03d', '11cd7455bc155556', 'a7c9db349b71b80d', '0fc06101be8257b5', '009ef0283740e7b3', 'f7b2bd86817421d8', '951b4fd71377c50e', '614c143d4d36e67a', 'dcff1570629b6439', '063a8e820eb3c107', 'beeec4c7c0124203', 'dcfbd209b2b98296', '3152342c2256d3ac']; context = [[35, 80], [7, 76], [21, 81], [20, 66], [92, 145], [17, 66], [0, 53], [2, 46], [7, 82], [42, 96], [158, 225], [134, 181], [180, 245], [30, 117], [22, 74], [85, 152]]; loss = 0.014722 low_pass_filter = 0.300
+Epoch 0: | | 22499/? [3:56:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 22500; scene = ['f4f9ae56b5b84b1d', '539fcc87120692e8', '672e70ad2f8021d1', '18adf834a6c0ce7e', '15e37857ba740b8e', 'bb03712511acb358', 'c0d9b8245553ea43', '12e365426a204bfe', '4c500c935499b76c', '9652388a27e34f6b', '791154aeb41aebe5', '97404df843f6f12a', 'd0c12240702616a7', '4346bc65cbbf2d07', '79dca8946db32bbf', 'e5d6c55082393e34']; context = [[120, 174], [42, 94], [21, 82], [17, 65], [45, 89], [35, 80], [180, 227], [9, 67], [0, 54], [24, 77], [2, 82], [7, 55], [1, 86], [31, 75], [12, 86], [54, 129]]; loss = 0.014346 low_pass_filter = 0.300
+Epoch 0: | | 22509/? [3:56:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 22510; scene = ['a9570cddae1764ab', '7ab87cae327184c3', 'c6066f922a2b4fe0', 'fcdc78b1c1978874', '8f242b96af5a7005', 'a31eae8ce8a4dbfd', '7795949370ad0013', '3231aca99e0a8889', '6fa7c62ef1f2df71', 'd0e565ee49890e94', '862d687be565f540', '56361ac6c313a5f8', '97c5d79bc0c119e7', '303910b1146da10a', '3e9b0aef46871757', '9b0c4533ac7866e2']; context = [[85, 140], [202, 277], [8, 92], [40, 101], [51, 110], [23, 81], [7, 57], [95, 166], [0, 56], [48, 118], [11, 96], [30, 85], [77, 142], [11, 82], [37, 86], [52, 119]]; loss = 0.015153 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 22519/? [3:56:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 22520; scene = ['c58d526cb2894a17', '72d7ff49071fa801', '73542beb07728c82', '5994966dd0897ead', 'e4fc6fa4bbd6efa1', 'c05fd148d2da6d26', 'b11afc47f2feb21c', 'aa4938d7f2fd0a1d', 'e24323b82d0671c2', 'c05a15168d4c3332', 'db6ce23f93a9a0d3', 'd2ad156576e078cc', '306bfd98c1979405', 'b1c69f245fc0e901', '767a02e7d26e071f', 'a2eeb58967274b72']; context = [[29, 82], [52, 96], [11, 64], [27, 82], [66, 147], [11, 76], [114, 200], [33, 93], [14, 63], [20, 69], [9, 73], [0, 50], [1, 53], [26, 105], [15, 66], [0, 77]]; loss = 0.018096 low_pass_filter = 0.300
+Epoch 0: | | 22529/? [3:56:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 22530; scene = ['baf6f3633f2f05b5', '4463bb9f959c4bdd', '8a4468c235dcf764', '180d96feb8d270aa', 'e89a5647f2c90e09', '447fd6a3deffb5bf', '0683e7981c5acba7', '5e18c1df1ea5fe8b', '9451e54e5276db9a', '1ab2513dcdc16c12', '7134069a2b3f8baf', '8af3efa7ecdf2ad9', '8996564583eba183', '2887b9c54db40b70', 'e3c8770275e00422', '823a3c23a9602137']; context = [[2, 61], [33, 116], [24, 84], [46, 97], [45, 101], [36, 90], [0, 48], [92, 179], [12, 64], [36, 112], [7, 61], [27, 95], [8, 63], [34, 119], [10, 74], [2, 91]]; loss = 0.021362 low_pass_filter = 0.300
+Epoch 0: | | 22539/? [3:56:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 22540; scene = ['ab4b017d0b54dff4', '9e4bb8fca4924710', '4612633dbcb310e0', '9052eaa11b366e90', '930358bc273ec3ac', '93ea920eab8ad6cd', '8cc956d65a32814f', 'e9a0a9f254d59361', '763bf0262e09414e', '64b414cc58566ff0', '7dfd0a5df7c0f4c9', '444ea4592cbe76e2', 'f9972d12a428afb8', '11966948be24366f', 'e17b2eb28877f7e9', 'ec2738b1381a1fa9']; context = [[28, 110], [1, 61], [19, 78], [8, 57], [57, 122], [6, 74], [133, 214], [11, 62], [6, 74], [10, 64], [6, 52], [0, 55], [81, 166], [2, 92], [2, 82], [178, 240]]; loss = 0.014583 low_pass_filter = 0.300
+Epoch 0: | | 22549/? [3:56:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 22550; scene = ['52aa39175c690eeb', '5b8556064467bbc2', '11d2d3c8b02515a6', 'd8f5b070231de1e7', '7ff5cb13d38419ec', '4746597c7f62d8b6', 'cae6d0c80e820ea6', '17487b231252bcb5', '7b93613b1455e530', 'a5f9d22b57f2f16b', '95ef183fe01ef0f5', 'f5ce65e9a52c64db', '91d3ff9286d99d8c', '2997ec72df5bd3b2', '94c24d79a85823f3', '7e4fbd1d49769350']; context = [[1, 57], [36, 94], [79, 126], [1, 49], [2, 62], [1, 72], [32, 97], [0, 86], [43, 94], [13, 86], [19, 70], [6, 66], [15, 67], [12, 89], [58, 104], [12, 83]]; loss = 0.012915 low_pass_filter = 0.300
+Epoch 0: | | 22559/? [3:57:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 22560; scene = ['73a4c1e7ce31eb66', '3766ac6cc8557aeb', '6963e857ec109d3c', 'f53efa56a89798c9', 'fc0f6476699ccd35', '75fc70c592d102a3', '07b622db0f313514', 'a8d775ca03faf5b1', '473a794a32b16f66', 'ab3485881886577f', '3781936e21941a96', 'c57f03185717e73f', 'd1c2b6d7abcaafa7', 'cea208c8d33c3ab7', '0846e54fa829a3cb', '71bb669d936a5718']; context = [[3, 81], [131, 186], [69, 120], [12, 76], [27, 90], [7, 95], [0, 49], [56, 144], [97, 161], [0, 55], [0, 81], [127, 175], [3, 55], [32, 84], [8, 63], [6, 62]]; loss = 0.011839 low_pass_filter = 0.300
+Epoch 0: | | 22569/? [3:57:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 22570; scene = ['169413e8a42fb4b9', '6e12dc992024cf88', 'fca0eab1caf12b55', '84b26e1469a78914', 'be57d24987e263cf', 'b51de1745d3267b0', 'eb09c354c7506b21', '996d2d7486a4b793', 'a2f534dd3e493ce8', '13e0eb10aa5c845a', '39e7fa32d953fa6e', 'd35650707515c2cf', '3172fc3016b29bc7', '1a3a20eca34cffce', 'a781aa9c808d47aa', '07c12f3c5aa008e7']; context = [[12, 97], [11, 72], [5, 57], [37, 119], [10, 70], [6, 85], [23, 97], [25, 72], [104, 165], [3, 72], [5, 86], [77, 148], [8, 55], [27, 82], [57, 126], [43, 107]]; loss = 0.012407 low_pass_filter = 0.300
+Epoch 0: | | 22579/? [3:57:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 22580; scene = ['dc3562fd7c1c96ae', 'ea2343e4a390441b', 'c2648243586329ba', '2c3bc0c318fa3771', '95cd0bad15de18a9', 'b7873e1ebdb5721f', 'ff4fb430b2108b32', '699dc0e0cbd1d2d5', 'cb3bac70297d52c0', '51e99330cbe8b36a', '9a2d4c60e9585ed7', '04de1a4925ce16a7', 'aa801c6cfb72fdf8', 'b10c8d402524f959', 'e6ecd26a61666db6', 'f3b57f2536c06064']; context = [[17, 101], [8, 68], [61, 119], [21, 80], [24, 107], [1, 85], [41, 94], [27, 117], [99, 159], [1, 55], [61, 113], [15, 105], [0, 45], [10, 79], [98, 150], [12, 63]]; loss = 0.014918 low_pass_filter = 0.300
+Epoch 0: | | 22589/? [3:57:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 22590; scene = ['4c59acc6f25bd624', '2da233b5a1fdf1e3', 'bca02cbb5d54d742', '6a54293527f78617', '23ddd033854eec57', '1ceb3e7a3e538dcd', '0cba06c344cacaa6', '4040186d9ad1f65e', 'd860a45ad00c65b0', 'f3c76b5cc6bfb891', '41d4d91f1aa80efb', '0d7cbb1d4e7831e1', 'ca11186f72f84306', 'a2bae8859904fa7d', '07be1c41e6e00f4b', '9ba95d48eab6a0c3']; context = [[73, 134], [62, 144], [29, 104], [12, 94], [4, 53], [6, 51], [22, 67], [4, 66], [189, 249], [19, 66], [2, 62], [42, 119], [1, 73], [7, 97], [1, 63], [180, 252]]; loss = 0.011720 low_pass_filter = 0.300
+Epoch 0: | | 22599/? [3:57:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 22600; scene = ['54b9014bb00603cc', 'ef2133eff7b3387f', '5670b72ad22f4e1f', '993cf79b2a2312ec', 'd269eebf84aefd4d', 'b211dbab7ed11c64', '5c3bb18e78698989', '364aa2dfbd59b2e4', '6c9bceffa427a354', 'a44f6d4d66d81f20', 'eeb862802412ab03', 'cecb4f7e9d017104', '11e8a47afc86d430', '7fc375752c2540e3', 'a94e03cd69b319e7', 'a0883fd11d656ac5']; context = [[26, 86], [9, 80], [6, 84], [41, 125], [64, 116], [60, 116], [0, 69], [1, 50], [65, 123], [76, 132], [26, 106], [2, 63], [43, 90], [42, 105], [143, 220], [135, 195]]; loss = 0.016466 low_pass_filter = 0.300
+Epoch 0: | | 22609/? [3:57:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 22610; scene = ['b77f058b8e996d82', 'eb64b2a27d6b470a', 'f2fde7bfe871bfb2', '19928dc4f260fb8b', '43f22c5cc2231e82', '239bfd55bb80ee89', '745a12b4bede7505', '7c100fca3e9e7d71', '626e0f8b72846b6a', 'dd2cfd63cb5c475e', '0fb508005bc63fe8', '7f39b66c5ce57597', '5875754c1af4729d', 'ced5b55b7fb93aad', '37f6486b9271ef81', 'f0b2f226dea05cce']; context = [[1, 65], [0, 55], [89, 171], [43, 105], [113, 174], [1, 90], [18, 73], [33, 93], [11, 100], [66, 138], [62, 139], [10, 61], [157, 234], [92, 167], [3, 80], [153, 233]]; loss = 0.013709 low_pass_filter = 0.300
+Epoch 0: | | 22619/? [3:57:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 22620; scene = ['117d63f349b7f003', '6aaa7af7f3dee05d', '7a3631bffade5208', 'eaa05e17022ae6a4', '6cf2b121b6eab09e', '72fe17fddf456267', '44abee0bfc90b727', '256ad978b0adf10a', '70f1460f310d6d19', '1e70e700f899e3f1', '0a257e4047e3940b', 'ee5253dae1574a08', 'b925d0302c20e4f0', '8a54963763c7074c', 'a6a59191a5b213ca', 'd6545357d99064ca']; context = [[19, 87], [74, 144], [0, 81], [55, 107], [7, 61], [60, 110], [6, 61], [0, 70], [76, 129], [1, 75], [145, 191], [6, 88], [51, 123], [60, 111], [32, 103], [205, 259]]; loss = 0.014796 low_pass_filter = 0.300
+Epoch 0: | | 22629/? [3:57:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 22630; scene = ['caa3a366a71a2bf9', '0be7e9a8e6cca579', '13cc7af9fa1c5b1e', 'bd6427f319e8f8e4', '10d46d09b071b52e', '44a9c76c06eaa5dd', '4af92040d8f76d3c', '21f58dd661a17f08', '1c6d5d3f3957f715', 'be1f92c942aa1d9c', 'bf4009c06ec52418', 'a2d1db854e644ff7', 'faeaf23eee1707de', '14f634c9067d13cb', '23614c40645c305c', '33cdd75cca9cbca3']; context = [[6, 59], [20, 65], [27, 99], [19, 109], [177, 240], [33, 123], [4, 77], [59, 145], [25, 72], [17, 94], [39, 84], [105, 177], [31, 91], [126, 176], [32, 93], [24, 95]]; loss = 0.017068 low_pass_filter = 0.300
+Epoch 0: | | 22639/? [3:57:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 22640; scene = ['5cbd109931e3fe1d', 'f12f544ed5df8605', 'd5e2d4a639e271d7', '6e5d576038f561ed', 'a0f0af3e118b6ca6', 'ed56fb0a3324c8cb', '0f66c9d3be156d56', 'fe6b9b80b0e6a8d6', 'ca553e70eff3aa6f', 'd02327b51b3bad30', '37c605799e313a35', '307fdf75dc5b08a1', '44f828162649e72a', '15b8f7652036db12', 'd5f11c320ee101a1', '3d0e037775a94dad']; context = [[39, 88], [2, 86], [60, 110], [51, 138], [2, 88], [184, 271], [125, 188], [22, 100], [33, 106], [10, 60], [79, 127], [16, 96], [3, 74], [46, 96], [16, 81], [45, 122]]; loss = 0.013048 low_pass_filter = 0.300
+Epoch 0: | | 22649/? [3:58:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 22650; scene = ['09370daa74ea41c5', '16ab02b6c03b2534', '0aeb8920c6649318', '62d5a74db345d8d2', '349265527545c4fc', '37f6486b9271ef81', '7f39b66c5ce57597', 'ced5b55b7fb93aad', 'f0b2f226dea05cce', '0fb508005bc63fe8', '5875754c1af4729d', '135cc677e20df588', 'a9904976adc1707a', '094bcdb1f7a09811', '873e47aefa88e8cc', 'ed53bf7b8e6dc9d1']; context = [[4, 55], [39, 125], [15, 100], [18, 82], [24, 99], [110, 199], [2, 61], [194, 273], [188, 238], [28, 77], [68, 125], [149, 217], [3, 76], [0, 52], [22, 70], [21, 80]]; loss = 0.013843 low_pass_filter = 0.300
+Epoch 0: | | 22659/? [3:58:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 22660; scene = ['a1d9d5268b9a4bc1', 'f4cf49d53bcac055', '7832240d2e89f668', '1289979759f39b33', '3da55d8ed062a216', 'c75f1772e4e25c60', '1ff35ccd15e08a8d', 'fd46ddb80c816b61', '6e238645b2a85804', 'eb92f95542ff395d', '2bba4f98ea96daea', 'ef98b97970d1926d', 'b8d55d4d98ec2500', '045a9a81122cf9e1', '12626eba886405ed', '84157bfab55e3573']; context = [[1, 67], [16, 80], [0, 72], [200, 251], [84, 133], [135, 201], [2, 86], [19, 66], [180, 238], [1, 50], [37, 85], [25, 78], [13, 97], [51, 117], [37, 125], [7, 89]]; loss = 0.013228 low_pass_filter = 0.300
+Epoch 0: | | 22669/? [3:58:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 22670; scene = ['b2a5bee383cc062d', '405e320c34ff7f81', '328f4a1bb0f7419b', '611773875fdb8681', '24668195926b0c91', '2a64843febb83d4b', 'cae09ec1d132c91a', 'e2151e6bf7f90731', '1f5c02c6a447177a', 'ca32984655a98eba', 'da0a55bfc7ac0d7e', '1d0de977f6c454e5', 'ace26d090e35b8a2', '4cca2ad1cde55681', '8730a68b24c3678a', '7922209e3015f2be']; context = [[5, 66], [141, 216], [29, 87], [22, 73], [13, 93], [10, 55], [0, 73], [4, 63], [12, 72], [18, 99], [2, 82], [83, 155], [15, 73], [5, 65], [77, 160], [19, 92]]; loss = 0.014782 low_pass_filter = 0.300
+Epoch 0: | | 22679/? [3:58:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 22680; scene = ['a34fd0bb1384384b', '15ca4fd4acca4454', 'b0991d21aa299896', 'e82896a5cb57d42e', '5cfa2c069a5e90bf', 'f18a063e5c97e518', 'e2dcc5027e75ba22', '39a77b613c2ae277', '154c7d81aa48f34d', '6053c1082310530b', '441409909e08eb53', '5600f2eb6ac7dffa', '28c46440159f59e1', '8f6c817f8d4487f2', '4b5c213f3cfd6c3f', '3a605cb3495eb9c7']; context = [[28, 91], [16, 104], [1, 50], [132, 219], [114, 204], [140, 215], [58, 108], [13, 72], [30, 113], [37, 97], [51, 106], [118, 194], [2, 91], [64, 136], [6, 64], [189, 278]]; loss = 0.016058 low_pass_filter = 0.300
+Epoch 0: | | 22689/? [3:58:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 22690; scene = ['e280b63b4fde8794', '546f6ef7e1ecadad', '23a21511074188fa', '48ad31a1ea12ef16', '1937bd8834c0270a', 'dfd3f902b645c2b8', '6f0e672c9d2d1f20', '7b8b7615fd2f7724', 'cf46b4a288835218', '8d5750fb3066c585', '851ee72bbb63c5b9', 'b9a91fb9d8b245dc', 'a145cd9e7dfe9cb5', '496427e957357bbe', '60c0ce7c9ccbc383', 'ee58d3e6ed02667e']; context = [[110, 184], [26, 96], [17, 103], [11, 68], [9, 55], [12, 57], [33, 119], [17, 75], [6, 62], [0, 45], [22, 87], [32, 79], [5, 87], [39, 120], [50, 103], [9, 62]]; loss = 0.015036 low_pass_filter = 0.300
+Epoch 0: | | 22699/? [3:58:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 22700; scene = ['95ce04afcd02e7b4', '1055b59a47af85a8', '5b561a71e5e8db82', '0b374c27db010039', '4f75f6c2237a4762', '4ee204d09f90e35c', 'f7dee93d8f7d334d', '9f619cb9683a8018', 'f2074c11f6bba536', '4697b4c72f730392', '2bbc66822b9eaba0', '39f0a44d63218621', '59f51dc04d5ff9e4', '38e0917d61051a6d', '22d68157bb17502c', '395802511d26f32e']; context = [[0, 82], [0, 51], [9, 55], [127, 179], [47, 113], [48, 108], [29, 110], [43, 95], [49, 109], [9, 69], [85, 149], [103, 178], [2, 70], [135, 190], [122, 186], [7, 64]]; loss = 0.013492 low_pass_filter = 0.300
+Epoch 0: | | 22709/? [3:58:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 22710; scene = ['c21f6c67e7509e1c', '63513ee2e5e74f65', '4bf8f4e620c27a0e', '84103108f3301520', '0dc7065a7b99d535', '1e69c0ba9e7fb023', '41ea521aef121c25', '5ca1a8ea53457a46', '2effe89a7d56545c', '3bc2111ee56bb976', '49dfcdea956c0fba', '29f6f41182191486', '9426fa1b0ae38a34', '4d0e0a79d5d2b83e', '33e683233a6f972c', '8c6280ae05871d49']; context = [[14, 60], [0, 64], [2, 64], [125, 171], [128, 214], [8, 86], [39, 90], [61, 130], [119, 200], [19, 101], [210, 264], [6, 71], [12, 87], [10, 92], [181, 226], [8, 92]]; loss = 0.014592 low_pass_filter = 0.300
+Epoch 0: | | 22719/? [3:58:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 22720; scene = ['9777aa81d5ddf05d', '8272b1253d3ef5bc', '11d1dd8049ca694b', '8efec6de00a7d511', '2244f7dd2c91da2c', '06fccc7d660b7c54', 'ca543cd72517425f', '7c4d7ed47ae232ed', '7fbc6cf6fe65b7ff', 'ca301930c8f2ed36', '753a83da2aac4875', '996449def3195a22', '907cc3fa5b4f274e', 'bdab4452012d21c4', '1dca0f5045f2747f', '10f3a6c725650d37']; context = [[58, 113], [143, 216], [54, 128], [68, 121], [166, 215], [0, 81], [7, 58], [143, 206], [49, 104], [84, 135], [31, 101], [19, 90], [22, 111], [55, 115], [6, 56], [9, 63]]; loss = 0.016157 low_pass_filter = 0.300
+Epoch 0: | | 22729/? [3:58:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 22730; scene = ['81691434e83125a2', '8fd650e68fb27844', 'd7a82aa577ae8a6c', 'e5245590cf6cd5fc', '25280e32ba676f03', '2629da604e80913f', '031f8b9e66601e5e', '0d8e5289e56244c4', '2c233ea19f5a5f34', 'bcc00e27ca39c0e0', 'e9245e35931d0260', '5150534a7080bbe1', 'abca120df6b75dbe', 'fab2da62901db99e', '70c56631eef0de6e', 'c04814a993082566']; context = [[67, 119], [4, 69], [31, 86], [82, 168], [3, 62], [7, 78], [54, 99], [72, 156], [29, 93], [14, 100], [13, 84], [9, 60], [93, 172], [24, 69], [0, 65], [3, 57]]; loss = 0.015439 low_pass_filter = 0.300
+Epoch 0: | | 22739/? [3:58:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 22740; scene = ['0db45743986b5100', '4a6092a27f74cb4e', '78473962153fefe5', '48168fce6cb19de6', 'fbf26c42fde22f42', 'f96e2330b2ce9910', '37315f75bfca52ff', 'fd4799119b1fa70a', '53eb9bdb6a459713', 'a19e64e3bb6f9611', 'a01c0ec22a38536a', '4caaa1b6a8f126d2', '7d2632b33e628798', '4ceaf2a5d2673ec7', '79bac043825d673a', '2ce649105b56e6d0']; context = [[5, 88], [0, 58], [2, 48], [14, 87], [7, 93], [99, 152], [0, 87], [126, 203], [78, 147], [27, 75], [47, 125], [17, 85], [173, 246], [18, 87], [24, 86], [21, 92]]; loss = 0.018766 low_pass_filter = 0.300
+Epoch 0: | | 22749/? [3:59:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 22750; scene = ['f86725c75425a16a', 'bf4f6a21b10ac664', '8fa46e09f2f6f27e', 'e0e8951dcdea3f75', '35170436ab3783da', '36d504d282ae3d38', 'f84d36fcf8522220', '74caf02bd5ddc12c', '2b93c95f7163e0c2', '186894cc7800aed0', '2873784953200e4f', 'bde13a97348df4aa', '2df0151e4f7c8daf', '9deae006e118e6b1', '2265940253865c97', '672ca946adb2b946']; context = [[2, 49], [2, 79], [6, 91], [15, 66], [31, 83], [76, 140], [18, 85], [32, 91], [74, 146], [74, 131], [57, 119], [66, 118], [26, 91], [0, 86], [49, 113], [0, 67]]; loss = 0.013544 low_pass_filter = 0.300
+Epoch 0: | | 22759/? [3:59:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 22760; scene = ['d0ec88df750371c1', 'b4a0e7d971e39e2e', '4734e02082441a9e', '8266cb4dd06d753a', '1f4505aceb623cad', '435662fd057e76a3', '104b4e0db94e667d', 'be32cdc488ce00c8', '883829eacd223cd3', 'e6f3acdbe3c6ec77', '1de68d5c69310dae', '34160faa9ea64eff', '432bbc60a010b15e', '4514a5c68e922b2e', '39559d661f746739', '34dd90f74228f1ce']; context = [[50, 102], [53, 114], [21, 109], [122, 188], [33, 86], [23, 100], [1, 60], [25, 82], [189, 270], [8, 56], [2, 62], [8, 86], [51, 110], [22, 69], [72, 118], [18, 66]]; loss = 0.013926 low_pass_filter = 0.300
+Epoch 0: | | 22769/? [3:59:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 22770; scene = ['111b613111694571', '8c5c1527382bdb11', '0e24133e564d8c79', 'e732030e9b6687c6', '64554b0854be0a81', '2ee60f30bf7cd949', '5b39b4c3d4a08974', '8c302407c7823198', 'b3b384e4e6bb7637', '3a19113b55068671', '3354221c88fcd7a6', 'a88c205cba26fab7', '00aad2a54c447c8f', 'd0fcbd772d6db808', 'b0594e3b31c12a2c', '66e687773869ddf1']; context = [[20, 100], [11, 81], [0, 82], [10, 64], [44, 132], [81, 161], [10, 76], [35, 104], [0, 45], [52, 128], [105, 153], [17, 69], [21, 87], [88, 160], [67, 141], [1, 58]]; loss = 0.016197 low_pass_filter = 0.300
+Epoch 0: | | 22779/? [3:59:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 22780; scene = ['465d9493930479a5', '8570ad9140c30a9b', '56077ecdda924254', '3452de458760ac2b', 'c0cf07e5b372acbd', '1422b6d07327d94d', 'e740e81d6420950b', 'befbd9182cdd0d5f', 'e7fba7c16640c80b', 'c339107ba520e4dd', 'd6e28ef7c56d3971', '2184b89353ea3527', 'b0203810e758433b', '9fd55c3feea7ecc2', 'd6dcef8ef3405d4a', '64ad08063f129a06']; context = [[23, 74], [20, 77], [1, 75], [151, 209], [1, 59], [47, 96], [27, 111], [5, 83], [40, 91], [23, 79], [1, 75], [137, 216], [11, 87], [66, 148], [2, 55], [141, 203]]; loss = 0.013198 low_pass_filter = 0.300
+Epoch 0: | | 22789/? [3:59:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 22790; scene = ['f75b9edc2de34e90', 'd5e42e9af4ac6707', 'e1b145dc4482f154', '38d4874100b52393', '57b358bc5ca4a2db', 'f0c84c2247924960', '2d9a74385c3282ca', 'c693556362b23f52', '33d57adf7f083810', 'cfc77a497899104e', 'b4d9ca354d107842', '7bd45958f4294e5d', '8a4de0caa5254578', 'b8766133be5a4e74', '1bd27c993ee5d989', '64f5cdc51f304146']; context = [[83, 136], [9, 59], [35, 107], [12, 76], [18, 66], [19, 86], [21, 110], [57, 146], [7, 68], [27, 80], [20, 75], [1, 69], [35, 103], [38, 105], [92, 145], [61, 109]]; loss = 0.013635 low_pass_filter = 0.300
+Epoch 0: | | 22799/? [3:59:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 22800; scene = ['f0c97b9a018f61e0', '2e2c55d69b879020', '49b588e9904990f3', '466bca50a892d27a', '4a15c3236a6ac64e', 'a4a24fb8cecc137a', '0803ef1558946e8f', 'f480268675d083e5', '63ff831eca498313', 'c07245f7dd1159ae', 'bbb486f1bf6141f1', 'fc854569673a15a9', '310a9fe20c913b7a', '242d211eb4ac51ce', 'c11e45b1b76d8117', '2c4748f991f7d71b']; context = [[13, 84], [40, 92], [13, 71], [25, 72], [182, 255], [5, 59], [51, 119], [1, 88], [0, 83], [11, 79], [8, 61], [0, 52], [8, 75], [0, 63], [0, 65], [5, 51]]; loss = 0.016638 low_pass_filter = 0.300
+Epoch 0: | | 22809/? [3:59:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 22810; scene = ['886a85c2187060b4', '480284b9570c6f99', '05f76b85aa906dc8', 'd7e6c0b3ac09c6cf', '1fdf19d7c4402d40', '7d890b7b3665505d', 'af1e0e38c0da060c', '51b6e63c903275b4', '78d31bc844cb6ca3', '36be11bd06d2ef68', '2e3f54363345e299', 'c0d2d4f9c82235f5', 'b04a2c353213cab2', '3256408a8d621dbe', '6bc817f3c0390bc3', '9b158471e21a2744']; context = [[4, 67], [15, 66], [31, 83], [0, 58], [97, 153], [13, 83], [168, 243], [0, 53], [2, 54], [5, 93], [33, 83], [21, 75], [40, 94], [133, 178], [4, 93], [54, 111]]; loss = 0.014335 low_pass_filter = 0.300
+Epoch 0: | | 22819/? [3:59:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 22820; scene = ['9632d39d8a42eb51', '080222a399d70984', 'b37cb3df64becf42', '147e4f3e5f03f3d4', '04df74efd5400b7d', 'f383a966eca19483', 'b438e71fc71a3e83', '1466acc0fa317181', '93da955d2a4af2bf', '749b806a35c1bdf1', 'b475ad72dc270b12', '47574b6b30aa47aa', '4aab38e2291002e2', 'ae60de24dca7d5c9', '33913957b62dabc4', 'ad56842663d10450']; context = [[43, 103], [26, 95], [24, 93], [67, 118], [50, 133], [36, 111], [14, 104], [17, 87], [3, 91], [35, 124], [106, 162], [224, 278], [54, 128], [132, 208], [15, 95], [2, 75]]; loss = 0.015338 low_pass_filter = 0.300
+Epoch 0: | | 22829/? [3:59:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 22830; scene = ['ef033bb52be535d7', 'a0d16e79ab441c4f', 'acd45fcc7eed8818', '3002f9cbe7f00e6c', '962bf8736f57fe5e', '056b5030399a131f', '7f3900d49cac35a1', 'ffc2f67f24e55466', '42a2a2c546bb8d24', 'dd8e8d5c7c7f2e8a', '6591368967629a3d', 'c52cef7d7890369e', '8aa54d54952c746c', '316efce0bff7c388', '59c434434c6ef3fd', '5c4fb0add49cbd58']; context = [[24, 72], [5, 67], [33, 95], [126, 214], [6, 54], [186, 266], [4, 64], [17, 87], [4, 73], [18, 89], [90, 177], [103, 149], [25, 105], [177, 251], [31, 84], [0, 75]]; loss = 0.016890 low_pass_filter = 0.300
+Epoch 0: | | 22839/? [3:59:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 22840; scene = ['1c90cb2d24fd41fc', 'db661815480bb340', 'd74d97ede645d0e9', 'ffbe808b19995226', '28511b9f2fdb1a1c', 'c57f01070bc2b9ab', '15ef2942e2e80f5f', 'f40f4a376ef86065', '09239525e5d87fd9', '659413092374c91d', '957356aca370c325', '386ce9aa95670300', '2d993758bc643a4f', '69214171f3c09b70', 'da6552eaffe605cd', '6dde8ea549b04a08']; context = [[7, 54], [27, 116], [98, 150], [6, 53], [17, 103], [1, 64], [5, 89], [15, 69], [4, 90], [3, 68], [99, 145], [51, 117], [221, 277], [53, 116], [0, 51], [4, 68]]; loss = 0.013851 low_pass_filter = 0.300
+Epoch 0: | | 22849/? [4:00:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 22850; scene = ['0fc2f38684a6ce5d', 'f535ef4bae3136ae', '2c76592b3759673e', 'a76159f46f60d60a', 'b721471aeb419680', 'c332f47dc4ac19cb', '270c92beac8cc380', 'fe86d8ea3e0d4c7e', '1d9c36d49c81ce34', 'd164a63a092e62f7', 'bdfe47d84d96f14e', 'e9837742fb349627', '193fd7844fe703bc', '920fab707245ea20', '3a4c6b8c9f9455b4', 'e7b5dcde4f4ac406']; context = [[4, 84], [7, 53], [26, 106], [29, 89], [4, 92], [93, 152], [16, 66], [10, 68], [8, 61], [13, 68], [49, 139], [0, 64], [11, 89], [0, 68], [36, 113], [31, 105]]; loss = 0.018012 low_pass_filter = 0.300
+Epoch 0: | | 22859/? [4:00:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 22860; scene = ['619ec1868bb4fff2', 'c4b9605e3399e84a', '4e40f715298ecfb3', '89cd0268f557d0f6', '869ed5a2a273e8fb', '63eb524e44eeafbb', '89cc333342232a19', '4a0419479a29e5a7', 'dfddc9d209e8f281', 'bbbae78d877d5312', 'aa2c76bb749d111e', '7aee80abe39c7d03', '9929dcc56e6ade90', 'aa24838f16305995', '07916b8004a8e336', 'a40fea86a599c60e']; context = [[4, 65], [38, 105], [11, 74], [57, 104], [1, 49], [20, 65], [50, 124], [33, 92], [128, 175], [7, 62], [46, 108], [93, 139], [5, 87], [0, 84], [33, 84], [0, 58]]; loss = 0.015205 low_pass_filter = 0.300
+Epoch 0: | | 22869/? [4:00:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 22870; scene = ['41e08ecf051c989d', '4678ea8c4e38dc75', 'bf1749022f7b7fc2', '65a00341f349f76e', '810cdfdb9c8ffa02', '1e8a9f8690b19a68', 'ab5d20183d26c933', 'd0b3444e1b040d9b', '93c37a52bd208be8', '0fc2f38684a6ce5d', 'bdfe47d84d96f14e', 'f535ef4bae3136ae', 'c332f47dc4ac19cb', '9efdc1e256416028', 'a76159f46f60d60a', '270c92beac8cc380']; context = [[5, 66], [32, 77], [0, 70], [11, 59], [69, 121], [100, 162], [145, 198], [42, 130], [9, 67], [5, 81], [18, 100], [10, 58], [10, 58], [74, 153], [22, 84], [3, 59]]; loss = 0.012255 low_pass_filter = 0.300
+Epoch 0: | | 22879/? [4:00:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 22880; scene = ['7659d0bf3dee2d66', 'd706f9af100f0c57', '4987c4d7ec72610d', '33111ae5fb134ae2', 'cc99f79225455b28', 'ea8b2c80d239bcc1', 'b5962106567a3f6a', 'bea9a5616b6568be', '49611abd06487b73', 'a8e322c05f5ee05f', '93b6082dee1ba1c7', '8d553b1fb91ed4e2', '0f5abbb7e9e13751', '20728de310f17634', '2d5367d8abf2a189', '0bfdec70b0e4848b']; context = [[0, 53], [7, 68], [6, 81], [6, 63], [32, 114], [0, 65], [1, 57], [193, 257], [11, 100], [8, 64], [108, 159], [33, 106], [37, 106], [53, 112], [0, 49], [0, 46]]; loss = 0.012892 low_pass_filter = 0.300
+Epoch 0: | | 22889/? [4:00:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 22890; scene = ['e7a2a548112a8c20', '5f4184dd10762342', '7143928cae72a35c', 'f7b8f613963a75c2', '1f1f40b70eea9eef', '872252302c42fd77', 'd4dc4410ed9c86cf', 'ce17adbf4b2baf2a', '2547ccb85eec57bd', 'f0f96bb7ac3ec738', '2f643f23e17ebb5c', 'b01df43c4e798a4b', '34877cca7aa35dcb', '78b27982ce84cbfd', 'f73e525030617d22', 'b0ef90705c30b216']; context = [[37, 89], [62, 146], [21, 103], [70, 157], [144, 190], [43, 128], [0, 45], [6, 67], [10, 64], [1, 75], [19, 73], [94, 160], [37, 105], [45, 120], [96, 144], [47, 106]]; loss = 0.013710 low_pass_filter = 0.300
+Epoch 0: | | 22899/? [4:00:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 22900; scene = ['852e8a381533579d', 'e3ba6e3bdd825f58', 'c5ad91921ecc1b3e', 'd512b75d3003b980', '8e9eb230b85b4a44', '63a4d8d6b62a5c8f', '5a9e5c0247e3449f', 'f165afbdde9ddb9f', '83e665a20aab001c', '00b37a5222bb6dca', 'fb930a2d6875acda', '5950740e398e4fb4', '232239c3d95dcefc', '7f378d74cc39f8a2', 'd34f631bf889f0ad', 'c3948552729d528d']; context = [[21, 83], [0, 45], [159, 226], [15, 60], [70, 135], [27, 112], [1, 60], [8, 92], [21, 98], [11, 63], [3, 49], [40, 99], [99, 150], [14, 59], [203, 274], [0, 86]]; loss = 0.015891 low_pass_filter = 0.300
+Epoch 0: | | 22909/? [4:00:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 22910; scene = ['4aa75a27462c5bcf', 'e2b10586530728fd', '14b72a12818f15cb', 'd0d25dda60a6048b', '5118b43a3f332d06', '392eab2c84c17409', '120933c886936b7b', 'ccb4fb4ff1862f97', 'ebefa67b99601839', 'a35fcfd5ca571296', '00e3a0aea2fcdff6', '1dc2ebcd887c71e6', '3be7d7aca547bc9c', '976cdb75e3f78c9b', '038c23fe8ac608d2', '241995896e6747bd']; context = [[1, 49], [11, 80], [9, 62], [41, 123], [2, 49], [51, 125], [6, 88], [88, 150], [59, 128], [0, 86], [28, 86], [47, 93], [92, 164], [126, 205], [184, 261], [17, 102]]; loss = 0.017171 low_pass_filter = 0.300
+Epoch 0: | | 22919/? [4:00:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 22920; scene = ['8d07885c4025b4af', '6e39991f48d99673', '3e0aff49cbabd07a', '2fb39167f2048739', '6fbefbce22f9f11f', '7d92d0c0bb3f0989', 'd915c4fc127a8969', 'b8221d91d8956603', '30b51cdcd3c85fb5', '20dd4ec470a5cf7b', '845ee057d436a995', '188398a54205f797', 'f0e0974741143d0b', '4d5593ce15e317ed', '296c34862a1e7e5b', 'c7d35bb824ce8724']; context = [[77, 134], [194, 252], [39, 88], [1, 62], [24, 76], [69, 129], [3, 81], [36, 95], [101, 186], [95, 146], [40, 114], [55, 129], [17, 68], [29, 106], [5, 68], [18, 66]]; loss = 0.013461 low_pass_filter = 0.300
+Epoch 0: | | 22929/? [4:00:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 22930; scene = ['f272bac50c6f6f32', 'a6e4e5e1b5d1539d', '2c4ec7127111bce1', 'fb215dfa4249d979', 'e8164998fa4d92a3', '864148d49cf777cb', 'a3a3b1ddde35d0af', '36e29dd32c865d48', '3f2cb8ac0da6c74e', 'fd416b7a03530167', '75a03bf2bb77aef2', 'c89112df6cf82777', '0b2b86827d4d6a00', '528b512ee4103c26', 'd33388f0d226900e', '90725caa8444ac82']; context = [[15, 61], [8, 72], [25, 88], [46, 117], [42, 94], [76, 130], [104, 157], [6, 84], [1, 80], [75, 128], [39, 110], [55, 139], [3, 72], [25, 73], [15, 72], [13, 71]]; loss = 0.014181 low_pass_filter = 0.300
+Epoch 0: | | 22939/? [4:01:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 22940; scene = ['d9196f78b7157f71', '038bc5d302351577', 'cdf58ec9c7e4a601', '2ac9ab25f56721ef', '3b6ea8e956bdb6a6', '8ba4540e85be5b46', '46968265954c2abc', '224c2bca8bdc3231', 'e0820fda0d0074f3', '0d64103186aa5b50', '464b39207f6edea6', '415dc13fa0b631f6', '5e202297ef524354', 'd2a5cdbdc5060e5f', '73dbf61978e22f0d', '065253fc4e00d30c']; context = [[11, 57], [22, 75], [19, 93], [118, 167], [4, 57], [5, 60], [3, 72], [215, 274], [7, 65], [9, 67], [196, 247], [43, 115], [19, 95], [80, 164], [27, 100], [3, 80]]; loss = 0.013693 low_pass_filter = 0.300
+Epoch 0: | | 22949/? [4:01:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 22950; scene = ['2e064e480b80e0c5', '9566fd91f2dbfc6f', '982e78e4de84016d', '84fca6a82c71e4d1', '0119a515554e72f6', '812572d41fa01fde', '0c86c60b5b3d3aca', '522e486762dd40e3', '3802ddeefb223acf', 'c5d27734798af55b', '5637bc1cceefd79d', '9f05e6c83ef543a8', 'b2f79e32a7cbc795', '7fb9eb21253b0337', 'be03554d52030624', 'd934a2c5369cd5ef']; context = [[161, 232], [50, 128], [48, 136], [44, 102], [33, 82], [11, 65], [5, 50], [0, 86], [211, 261], [128, 207], [48, 97], [12, 58], [29, 81], [8, 53], [66, 113], [35, 112]]; loss = 0.015177 low_pass_filter = 0.300
+Epoch 0: | | 22959/? [4:01:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 22960; scene = ['a75e999d5b3a867a', '44aa62a446f8fa5b', '3d3abd9680b7d2a0', '39b540a1b8a1c75f', '32da76f97d0e3195', 'ce1a6dfcc6aff6ec', 'bc3bc9529bc9e750', '9e224a047e1248fc', '543dd7c60b5d7513', '5dd78fc663793308', '912871cc5e0b2d6f', '9502702c8effbd09', '20a7799abd66e4b6', '6df10a21f6199b47', 'e0918abe230077db', 'fb80184b2024a29e']; context = [[4, 50], [168, 248], [12, 84], [198, 273], [8, 72], [21, 82], [4, 86], [5, 76], [0, 71], [3, 85], [16, 62], [17, 100], [25, 77], [17, 89], [0, 76], [182, 237]]; loss = 0.014872 low_pass_filter = 0.300
+Epoch 0: | | 22969/? [4:01:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 22970; scene = ['284bcc67f23bea0c', '19e4099bca2284c0', 'ada24df9ce7b6620', '7a4b181114aa411a', 'e6735fa225dd5b00', '497d6e411fb83a99', '6ffa56bef397d685', '57afdd7758af79ea', '44d3e939898e467e', '8d7c8c24c08671f1', '60f8f090db3aed08', 'd382fd7776f9ec33', '9812755605325a96', '222e3381bee08290', 'ee9c7c9d5fe157e4', '75196bdec738648f']; context = [[5, 54], [64, 129], [29, 80], [52, 107], [22, 72], [127, 185], [18, 91], [8, 81], [2, 91], [3, 72], [6, 63], [24, 78], [19, 66], [9, 88], [19, 83], [5, 78]]; loss = 0.012723 low_pass_filter = 0.300
+Epoch 0: | | 22979/? [4:01:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 22980; scene = ['9ab0ecc80a10e445', '1b489b12c4f54d95', '3ebc0b128dc82a32', '24d90f30c52e7229', 'ba570f646fc389ac', 'b4aaa00674c63884', '563cc78003d7aadf', 'cd3b47d22b0bb827', '051302e8e0d56280', '6013f0d8dc76e441', '81e8ff39a3a00839', 'a5ae0f5f2192dd47', '402b81bf14d1de68', 'e423c2db23c80588', '77994f2a243e4c9f', 'b7d6204f7458d4d6']; context = [[55, 132], [39, 126], [29, 88], [11, 74], [1, 65], [28, 78], [5, 73], [2, 57], [11, 69], [43, 132], [7, 55], [30, 90], [11, 65], [3, 75], [45, 120], [33, 78]]; loss = 0.013532 low_pass_filter = 0.300
+Epoch 0: | | 22989/? [4:01:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 22990; scene = ['319afca687117c09', '1ad12c3a248af8cf', 'b9eed5c3bc248446', '0b570463d2dee7e5', '53f124b7faa90bfa', 'd98acfb229c132d4', '74ae525e53e4e839', '5099c6f3fb93e684', '8b901a2a33f5ad6e', 'ac5ffad34ede2b27', 'c46cc0b22cf0e2df', 'e8f40e73fd9848f3', 'aa85f1d551661c8c', 'bcbd3ed453c1d5c5', '14cfc11be2d81617', '2636a68b00cbb8dc']; context = [[41, 87], [0, 77], [77, 158], [2, 85], [59, 124], [22, 83], [8, 86], [72, 148], [37, 92], [83, 134], [10, 80], [134, 187], [28, 115], [2, 77], [49, 108], [4, 70]]; loss = 0.015614 low_pass_filter = 0.300
+Epoch 0: | | 22999/? [4:01:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 23000; scene = ['55bf3c628550da29', 'dd79dc72abfc0614', '8e2f3bf63d24d3b3', '2eee580c984b3466', 'e0fb27c2c232697e', '99620b4262b132a8', '6074d2ee6d8b506a', 'e2af00d19440bf92', '1213ca9c64a0e0cc', 'f1d37c37b26e7be4', '437a510972fa1291', '0197f9c76ffe37f4', '7c2a0ab3523a9304', 'c096648b039a05dd', '4a8613ae55449952', '3e4c6f7330f18510']; context = [[1, 59], [3, 68], [45, 127], [0, 70], [37, 84], [1, 61], [5, 57], [1, 60], [111, 184], [42, 131], [126, 175], [3, 68], [22, 77], [165, 245], [47, 120], [64, 125]]; loss = 0.016269 low_pass_filter = 0.300
+Epoch 0: | | 23000/? [4:01:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0validation step 23000; scene = ['62b83cb60c353c3c']; context = [[3, 93]]
+Epoch 0: | | 23009/? [4:01:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 23010; scene = ['25a02e81213b023f', '5f820c5b6e0c0664', 'b2d49c84a61c4983', '4738c550464831a2', '6610d80f8edf23ee', '68770587ee99ce5c', 'd99a74faacce0325', 'f8d2e1da9fab8c3e', 'b40f4f82b98255d4', '4d8fc16aa60bba1f', '652d6e93f1197250', 'bf7d85286d95a16d', 'b74fee95757199c8', '153a1b86a21c98f7', '409b268729c0a86d', '19479ef94164d89d']; context = [[54, 122], [15, 93], [59, 127], [35, 100], [45, 105], [51, 137], [35, 83], [11, 101], [3, 85], [105, 157], [144, 211], [8, 68], [20, 86], [68, 139], [7, 78], [8, 62]]; loss = 0.014114 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 23019/? [4:01:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 23020; scene = ['7ed6d0ea114b5877', '261b90e2858fd047', 'db1e9e416dfa5072', '8623fdc830966309', '3d6ab83c95110138', '1ca872d2a471e505', '068f6f8c6b7b2355', '81b43ebc03c4ddcd', '63c7787e14dbede3', '4fb79ac84ca4557b', '9b3cacb4cb2b93ac', '37578ce7a19d91aa', '3e68b6b7bb281e94', 'fc8aa2c335c15eb9', '70285f05516940b2', 'd93de5f6c62c01f3']; context = [[23, 88], [176, 234], [198, 261], [0, 61], [74, 149], [37, 84], [97, 168], [10, 76], [7, 86], [6, 67], [106, 164], [2, 53], [69, 116], [21, 85], [0, 72], [6, 96]]; loss = 0.016177 low_pass_filter = 0.300
+Epoch 0: | | 23029/? [4:01:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 23030; scene = ['5a71e24754ea107c', 'f93670c72163c7f5', '177ec27d1a094371', '65d52755ddf504a6', '67b48a8ef26faa69', 'a9aa19912b72f767', '1672c494acdf9a51', '05f68f205088615a', 'e7bb9d4424f4363d', '52ff08cf915f9890', '3b5f903cdb3d9583', '4466e384294450be', '23c52859f21f94ec', 'e82f58c638cf3f5e', 'da158c0720b75e35', 'f0af9a1645fffb8e']; context = [[1, 60], [158, 217], [8, 71], [37, 117], [2, 58], [74, 131], [0, 77], [0, 71], [36, 125], [3, 81], [30, 79], [63, 129], [68, 115], [55, 110], [158, 246], [149, 213]]; loss = 0.013711 low_pass_filter = 0.300
+Epoch 0: | | 23039/? [4:02:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 23040; scene = ['e9bce0235b64b452', 'e00923b588e1ca61', '38f562fb2b2ad4e0', 'c94bb2dbaa678405', '4291eb01c594fcb2', 'c336b74e2c877b37', 'f6aed65bf9ebd5a9', '47c9630112006011', 'c51e726f22c1b2da', '4760844c0baec9fb', 'ebb69f1382aeeaeb', '77d1f14fbdc4c65e', 'd4bd67622f4d47ad', '1b6f492332735a7d', 'a8c50decb758680d', 'f788136c098c2df1']; context = [[46, 107], [225, 276], [86, 166], [18, 103], [0, 60], [9, 82], [17, 98], [1, 59], [7, 54], [20, 108], [4, 72], [53, 121], [1, 69], [9, 62], [15, 105], [3, 71]]; loss = 0.013966 low_pass_filter = 0.300
+Epoch 0: | | 23049/? [4:02:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 23050; scene = ['d0f9511f71afe975', '6b0f6154016a4fd5', '891648f976ef8493', 'ac28e9e484e60c4b', 'f94f4ec2ae3e18c4', '2b026a3e98536fb5', '8672d4dcdf75c91e', '0ced4934341f8375', 'b2d9d8616512d1dc', 'fbf9cc8007a64014', '33e06b0151d0c869', 'f838cceee133ed54', 'a18b5e5cff3d2ed7', '8a982e13ab083f88', '203a0f1b9d11a60d', 'c81d4754f0698b08']; context = [[16, 74], [11, 64], [11, 72], [50, 136], [26, 73], [14, 69], [44, 123], [108, 157], [6, 56], [5, 66], [40, 100], [11, 88], [84, 138], [8, 81], [0, 73], [2, 57]]; loss = 0.015226 low_pass_filter = 0.300
+Epoch 0: | | 23059/? [4:02:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 23060; scene = ['05c6dc05aaf40f45', '006477bb9bada538', '51386d82afab8d56', 'da034370416efee1', 'f1c3beac54c25378', 'c537c888e9db11fb', '6545c42d1fa5df33', '068a8406f1a383d8', '87e45ed261b24574', 'a362305625fafb20', 'ddc9f94d295eec5d', 'ff5a054b2bed7b20', '393cdfb7e832d285', '5ac9002c4bc39722', 'b8123f46fa57929d', 'e8f23f5065972ddb']; context = [[43, 97], [1, 46], [8, 68], [15, 80], [0, 56], [1, 70], [4, 50], [1, 54], [23, 75], [15, 77], [15, 74], [4, 78], [5, 84], [56, 109], [9, 69], [155, 209]]; loss = 0.011296 low_pass_filter = 0.300
+Epoch 0: | | 23069/? [4:02:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 23070; scene = ['ec22f0604d874d22', '9b5189959925671c', '3d55d722c13f33db', '266dadce3be1bb39', 'ef87d9f4cb9ebe3e', '8c9c9fd339183118', 'eab64dc4f5fa3600', '5c6254d344551863', 'd9aeba3f7cbb8b9b', '9113735b147c81dd', '755f4a06377d1633', '937f8e3d9793a726', '12911b4f97d706b0', 'b42870de310cce44', '00bbf676b3378549', '5354b259bb11a731']; context = [[39, 104], [42, 101], [5, 52], [30, 92], [13, 65], [12, 83], [98, 185], [59, 145], [2, 55], [4, 52], [4, 82], [6, 53], [95, 147], [27, 94], [19, 72], [196, 259]]; loss = 0.017003 low_pass_filter = 0.300
+Epoch 0: | | 23079/? [4:02:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 23080; scene = ['ed7e0dafb9f9bcfe', '9b12bd3f7e78408b', '6a5b0451e24d2289', '4de563b16b260d04', '466f49a7cc7a9e48', 'c97e8fc87ec7a723', '2427f1dce789bd25', '0143e8470519b0c1', 'fc609053403c060d', 'b686f91c36fa4e0a', '32dd8e58c56b2412', 'cb12216cd8e217bf', '9eadbd1dc0bedf12', 'a50f47fbc6f4652e', 'e3aa1108e83ef946', '8cac5b522805ff10']; context = [[2, 71], [73, 156], [0, 55], [15, 61], [44, 106], [143, 229], [57, 103], [45, 115], [25, 76], [19, 64], [16, 99], [5, 90], [15, 69], [31, 105], [16, 67], [10, 58]]; loss = 0.011530 low_pass_filter = 0.300
+Epoch 0: | | 23089/? [4:02:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 23090; scene = ['fe6b9b80b0e6a8d6', '44f828162649e72a', '0f66c9d3be156d56', 'ed56fb0a3324c8cb', 'd5f11c320ee101a1', 'a0f0af3e118b6ca6', 'a825a8d54cd14cd0', 'd4a97e0a52dc8cb7', 'd90000318f9a8442', 'da963e97170fd9e9', '8b671df4b3b155bd', '43b4e4c3f5ae7c81', 'dd3bbf1f7f832e83', '8f110752082f188c', 'aed2967513620c7f', 'eeb55a861130a21d']; context = [[10, 96], [17, 66], [59, 138], [122, 190], [0, 80], [50, 101], [31, 82], [12, 84], [13, 96], [2, 47], [0, 78], [6, 81], [81, 128], [6, 74], [38, 85], [1, 69]]; loss = 0.014898 low_pass_filter = 0.300
+Epoch 0: | | 23099/? [4:02:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 23100; scene = ['25fccb9a0378348c', 'e8deafeeec77f45e', 'c203bc4b3de4f08b', '46f85dc85be547ba', 'c19e649653890e39', '3ef42101a36841dc', '6de42437144a0304', 'f81515dc293e8f58', 'd4baf663cc2213b2', 'c9141b8587ac44ad', '94e4a8fd68fbb943', 'e984f302bcc9358a', 'bd4fa299f6efa649', 'deed1be47150b1f9', '09084445f13c2ecd', 'a8e31e388f09de2a']; context = [[1, 81], [24, 87], [1, 55], [47, 99], [0, 75], [76, 165], [43, 113], [9, 93], [125, 205], [6, 68], [6, 75], [31, 106], [10, 74], [29, 103], [28, 105], [121, 182]]; loss = 0.045305 low_pass_filter = 0.300
+Epoch 0: | | 23109/? [4:02:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0train step 23110; scene = ['9dfd0a7a24894ecc', 'cdc6955dd0be5407', '8cb183849a6041b6', 'bed487ae39240b79', 'f9e4b5c344fd8902', '3a4ed9dec73debc9', 'b9829efc41051928', 'd48eac88de473e67', '4fe25643ef91f4a3', '8f15c5ccc01cfdd5', 'dedb887c8670af93', '964d888d8d08f2aa', '84670c3b39f59b38', '12302e01dbbf3067', '3218c763368e277d', 'b5eaad4a2942352e']; context = [[37, 98], [45, 124], [88, 166], [3, 67], [97, 186], [48, 124], [55, 131], [49, 107], [5, 90], [2, 76], [147, 203], [32, 112], [3, 65], [57, 133], [10, 56], [1, 52]]; loss = 0.017210 low_pass_filter = 0.300
+Epoch 0: | | 23119/? [4:02:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 23120; scene = ['8e99ada24006b593', 'd3e7e152d9525908', '583731a36ed85338', '4da5d0ad927bfb10', '356cb2eda655b967', '92c9c24bacf4d6ee', '5f02f8ed9e9c36ed', '288796a5772d9f39', 'cea25fc17ec9cf53', '097dcf41471c991b', '646e226b3273506c', '211386db971dc3f8', '6d6b71042cb11255', '5c0bc82c30577aa6', '4a5c30a0d83cb220', '3975666832e5ad4c']; context = [[21, 67], [9, 82], [102, 149], [43, 114], [7, 90], [67, 141], [75, 121], [18, 65], [3, 87], [26, 83], [0, 48], [4, 54], [30, 110], [1, 58], [27, 106], [40, 92]]; loss = 0.012889 low_pass_filter = 0.300
+Epoch 0: | | 23129/? [4:03:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 23130; scene = ['bfd9cf9aafa2649f', '40beb4ffba187851', '5455078fcf88ffac', 'beeeca1e5a21b7ec', '0850f17e26282e36', '3b69ef80fa685760', 'b5641e5423f6e474', '2813da755d297391', '138c39b21212c53c', 'ac64aa93f8140066', 'ac737cd508aa479f', 'f8ce5c33f6cf70ed', '7f2f43cf7a4adb40', '36373e191159d044', '284f5ab7de23b695', 'a1bb2ada3181ffff']; context = [[0, 86], [10, 73], [61, 119], [147, 202], [29, 98], [1, 57], [0, 47], [21, 77], [149, 231], [12, 73], [5, 83], [0, 82], [29, 84], [4, 82], [29, 91], [7, 63]]; loss = 0.015107 low_pass_filter = 0.300
+Epoch 0: | | 23139/? [4:03:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23140; scene = ['781189313a86b8da', '9e70ce8046bae357', '75fc9c01915d3371', 'c3d002e9b4eb33d1', 'ed95f4dca7ba49ba', '1fcb1912100a1509', '4c80bb26bc9a9842', '0fe8bd24289accfa', 'd05d33bc65e5bc82', 'f5fed3643ddc5f5f', 'a338bfd66be0c501', 'c7d468e8e326bc67', 'df4487db098d93f1', '9fa10cc1b8441d3f', '0677dd32bb63e07a', '9b4c98436d2d147f']; context = [[39, 110], [68, 114], [197, 248], [23, 111], [29, 79], [18, 98], [69, 114], [42, 91], [3, 72], [9, 65], [0, 74], [7, 83], [4, 57], [1, 55], [41, 89], [4, 60]]; loss = 0.018121 low_pass_filter = 0.300
+Epoch 0: | | 23149/? [4:03:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 23150; scene = ['dc02bdf097eaf7d4', 'a307016cafabfcfb', '7139dc5527cea06f', '63bc150f6dabeae5', '7d4d0f76e5694658', '6f618ecdf22e38de', 'd9d572949890b23b', '408d2ec12e5814f6', '5ef7bad33680cbf4', '66f5b4fc4d4b11e9', '7a02fbdd7da26091', '8a20ea3b37f8de6c', 'de9452d754cf1a63', '84727cf519681ecc', '8038a594dd50c839', '6be9fe4a43a26b4f']; context = [[110, 155], [13, 81], [23, 89], [14, 81], [20, 66], [29, 76], [32, 108], [182, 238], [59, 146], [22, 67], [48, 98], [165, 225], [182, 231], [3, 84], [62, 118], [108, 192]]; loss = 0.014654 low_pass_filter = 0.300
+Epoch 0: | | 23159/? [4:03:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 23160; scene = ['3148978637e8f426', '998e781c560de5f3', 'c017975d93ebd3a1', 'ad5ee3d26e7f60bd', '3ac8f331335c960b', '5149cbfe4543532d', 'e1dd63297ebe0d4d', '17012903a10284cf', 'ca541bb326b8a68a', 'b96b55b8c3555b8e', 'fddd3932a05bd07f', '4e7091cfc7cd9bdf', '925b5137c0630a1a', 'cd3c8bf6aecef4ec', '08a730bc775840ca', 'fd2f750a2fb4055a']; context = [[171, 221], [12, 69], [11, 85], [0, 67], [8, 83], [99, 155], [2, 72], [62, 129], [45, 122], [1, 55], [16, 104], [13, 67], [50, 111], [56, 141], [4, 94], [22, 74]]; loss = 0.013870 low_pass_filter = 0.300
+Epoch 0: | | 23169/? [4:03:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 23170; scene = ['0af95693e0c2a4b3', '2cb7980a10ba7dd9', 'a3d1a3c300d2d4c0', '49d0d81ca5d7a50a', '8b348d32ebb45bb6', '8d10bed76bea9ad9', '9542770bd8c00ff1', '05739e00a9d4b004', '8592ba43aefb06d9', '24f7200ced74c4d3', '694c8dd760733383', '6d859b79756cb35e', 'a3d4680cd9ad864c', '8173cf0ad3386d55', '427e644c4721cedd', '9258ddec553eebc1']; context = [[38, 97], [42, 125], [23, 110], [5, 92], [13, 74], [14, 74], [50, 107], [38, 108], [0, 45], [97, 152], [109, 155], [19, 81], [6, 66], [10, 58], [32, 121], [41, 87]]; loss = 0.016307 low_pass_filter = 0.300
+Epoch 0: | | 23179/? [4:03:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 23180; scene = ['7a3ff212e5abac35', '19e7498b055cd18a', '5e2650c063ad0179', 'bb717dac4971645c', '5b2278c4da769f90', 'ea65e9d79b43d884', 'acd0ea80c7595840', 'd0d887f15156edf3', '1f696b93c71675fd', 'd4c17d2bcd948e59', '1838464755a0a19a', 'f47454a7a7643166', '4cd1cf3b7d672659', 'f2cc31144c64dc6a', '6c1410340178fc65', '41205d62adc78932']; context = [[57, 103], [53, 141], [30, 116], [6, 60], [59, 114], [39, 128], [38, 94], [212, 257], [65, 137], [3, 68], [29, 108], [20, 68], [17, 73], [60, 149], [61, 137], [1, 49]]; loss = 0.013901 low_pass_filter = 0.300
+Epoch 0: | | 23189/? [4:03:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 23190; scene = ['9ba492f71643adcd', '83e5e3c86685140b', 'b185095d30859c1f', '55e410e603cde5c4', '802e6169f7469048', 'b3ab77c6b4280a91', '685287c58b99f901', '3a7d3ceffc107473', 'f05393ca393eb8da', 'c52515792bedecd9', '5ea64595f58c3671', '33c8c67a9ea6fedd', 'e4eb21913a18ad33', 'f69c13c057282656', '68c475f64bd7d97f', 'bc80922928a2c064']; context = [[9, 88], [23, 81], [211, 264], [1, 64], [49, 100], [0, 51], [1, 47], [141, 205], [25, 101], [14, 63], [12, 82], [0, 45], [32, 119], [50, 123], [28, 82], [76, 135]]; loss = 0.013730 low_pass_filter = 0.300
+Epoch 0: | | 23199/? [4:03:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 23200; scene = ['e6d1eaf45c82e9d1', '2fdc3af5f3056212', 'a9f2052b7d3608a7', '186027b25dee6234', '7365ce0b48a28351', 'ec1789428dbe59d6', 'a8429958dd90fefe', 'ae25c3b3bd733c0c', 'dcfe017a032faf61', '446f07aceef2d476', '17e623adb5750061', '1f30d10e3f754c66', 'c5223ef0da739843', 'fa1dfca0f0dd4bb1', '2411b9a5fa5fc39f', '715c63bb45248252']; context = [[17, 83], [27, 112], [2, 61], [71, 150], [41, 103], [18, 76], [15, 61], [21, 67], [13, 74], [51, 106], [1, 59], [5, 85], [23, 77], [2, 71], [60, 119], [0, 77]]; loss = 0.014938 low_pass_filter = 0.300
+Epoch 0: | | 23209/? [4:03:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23210; scene = ['c70a7a553169a8fd', '992f7352af096a79', '634550313f4a173d', 'ac9cccdaaa5a82e5', '0ce0280408216d05', 'b1de49fea231bb59', 'bd99ad1d47bb9005', 'f4b06ed6e137cd5d', '2bfb1fdeb47c139d', '42000d5a83b48ee4', '625e3aa0ff734714', '04b859d3d26366de', 'd2dd3b46d9903314', '3d9f44d7bdd0796d', 'a0b45bab75d35ee0', '9dfd0a7a24894ecc']; context = [[4, 92], [9, 61], [2, 81], [151, 218], [53, 136], [1, 87], [68, 118], [72, 121], [91, 179], [28, 84], [2, 88], [2, 62], [45, 130], [1, 73], [14, 69], [81, 128]]; loss = 0.016344 low_pass_filter = 0.300
+Epoch 0: | | 23219/? [4:03:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23220; scene = ['c995765e68129655', 'a9c612e54be0a3cf', 'f32c123eb81c5f5b', '2c2bfbbf301cfd33', 'e8cfb5eb20a5c0ee', 'f44b5abf07b1313f', 'f6d3ecda8aa336f1', 'c7170f568d2bf772', '68881083566014ff', 'efc7ba8cd78f15da', '7f683cbf59a9b32d', 'cbaacec930d0eb4d', 'fc2cf1c11276834c', '4198658e1471bbce', '6e69cdea812627dd', '74b6f2b3dd8b39cc']; context = [[57, 105], [76, 151], [42, 93], [1, 85], [32, 116], [9, 60], [29, 85], [27, 74], [38, 119], [77, 148], [171, 242], [10, 72], [28, 106], [9, 83], [104, 185], [2, 86]]; loss = 0.015682 low_pass_filter = 0.300
+Epoch 0: | | 23229/? [4:04:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 23230; scene = ['51252022ddf74fb9', '2431adcdd3aeeff3', '6cee6d0abdf16185', '0b82d6fdf7a104ad', '7549b399afe41ed8', '1a306618ca817952', '04493f75414c6933', '69bf6e0583b4603e', 'e83e99bb33c1a3e2', 'a00f87e22e7a7e17', '152a93ab43d95813', '70d6690412f088ce', '722eb1a6448ff0ce', 'c94d226b402bb584', 'b2f053581c6a54ed', '9e49a49124564a6f']; context = [[48, 112], [151, 207], [5, 51], [72, 154], [41, 128], [133, 186], [10, 89], [7, 97], [159, 247], [2, 55], [52, 99], [14, 81], [69, 122], [0, 66], [43, 115], [23, 73]]; loss = 0.015363 low_pass_filter = 0.300
+Epoch 0: | | 23239/? [4:04:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 23240; scene = ['0cd8897b8a77eddb', '21eea9d3442cbdec', '55beb1567126410a', '32d09e777fe79723', '5c5ced708d2b3c8b', 'fa574d0b867f315c', '710517405163201a', '7d34ba7c00a36b1d', '694d1f31210d7045', '52221c830262ee23', '7df8f446b871b28d', 'a899e800a639f1db', '76e1191fa6b2ae86', 'e758df2acf150824', '006d459e7f65953b', '06892eedc2aded26']; context = [[53, 104], [44, 132], [167, 246], [86, 176], [59, 128], [3, 51], [0, 82], [150, 222], [116, 179], [52, 124], [3, 76], [12, 69], [63, 112], [70, 160], [122, 208], [17, 98]]; loss = 0.015813 low_pass_filter = 0.300
+Epoch 0: | | 23249/? [4:04:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 23250; scene = ['c8e5656820b23246', '911a6a269ecf479a', '6372bfa2800cac88', '59d9825387580cd3', 'ba2f547ff823f99a', '0b24d043fa5648b3', 'a7ea6ef04df2bbdc', '82cded2e533c1edf', '47739a4198e8ecda', '35bedfbb2558fad8', 'f7abe583759cc249', 'fe366a0fc6fbf5a9', '7c47ccd4d1a46ddb', 'e527d58188527d8f', '66152520d52aae96', 'f44601f68f76436f']; context = [[4, 58], [5, 67], [79, 147], [42, 130], [22, 76], [93, 171], [31, 110], [57, 134], [74, 150], [16, 72], [0, 49], [38, 112], [26, 84], [4, 77], [18, 66], [30, 77]]; loss = 0.013220 low_pass_filter = 0.300
+Epoch 0: | | 23259/? [4:04:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 23260; scene = ['dd0dccd5864b0e61', '4e57a0834333ff58', 'f02ef226ccad6345', '092042696fbf333a', 'e0f1d79ec792ef8e', '9290e70f6de8e0f7', '6c466caacbb09d8a', '39cdd9c86c7c16af', '4efc6dce317e44fd', 'a95619eea3202e33', '0474fbfb616e83f6', '1e2933e7a32d9d90', '16903e81b5a7dbdf', 'cdaf106684259401', 'e02379524872a73e', 'c2d5aea3235bde5a']; context = [[28, 101], [3, 78], [3, 92], [184, 231], [26, 98], [114, 193], [1, 51], [28, 80], [87, 133], [0, 73], [0, 75], [10, 93], [2, 48], [4, 75], [44, 95], [6, 73]]; loss = 0.015112 low_pass_filter = 0.300
+Epoch 0: | | 23269/? [4:04:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 23270; scene = ['719b0b66dea86e0c', '7f823efe075dd4af', '4e3af11c191aa004', 'ba5274c1495ea772', '91520d618743f9f8', '86e87e068d318730', 'a383474ec46a9ffe', '86d1884b9379cdae', '5416177602a8847a', '759c51136f224948', 'dcbc43cc4c517240', '832a01fdf895e5d1', '02f2bced7693a878', '20a314fca8085294', 'f73c9e294e458e79', '329c5e4fec7752fb']; context = [[0, 45], [4, 91], [96, 177], [107, 175], [42, 105], [4, 78], [40, 101], [2, 60], [0, 49], [21, 95], [11, 86], [0, 59], [28, 99], [30, 106], [27, 78], [104, 158]]; loss = 0.017184 low_pass_filter = 0.300
+Epoch 0: | | 23279/? [4:04:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 23280; scene = ['d19b2171a8edd830', 'ac9fff2f4a58c1b2', '1c920b38bd59f0a8', '85a1f78298042147', 'c41ec7d3f062292f', '6512d658e8b42f9a', '94c1d9744c3d43d8', '401a8412c7de98a2', '827e64702c874a05', '3539d531cb61889f', 'fa815bcdb9927d2f', '70716081af03e1f7', '8898e2a210362ba7', 'b972669c5c766b18', '1fcda0030be61dd2', '8486311a5e35b0ea']; context = [[4, 60], [64, 144], [15, 74], [52, 104], [83, 172], [25, 72], [13, 90], [22, 70], [41, 117], [187, 255], [26, 79], [5, 73], [18, 73], [3, 62], [1, 67], [175, 227]]; loss = 0.011628 low_pass_filter = 0.300
+Epoch 0: | | 23289/? [4:04:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 23290; scene = ['852e8a381533579d', 'c107dbf82a3dd945', 'a5024f16e04e4c89', 'ee457ef6827d4568', 'a1c87988196faa14', '13a366c2b05220d3', '639b3f64e6ec221b', 'a8a820bc0929ba11', '86cc2c97a73c3004', 'ebdcd30ebe69fd2e', '13e771bcd1f459b0', '162bcb36d182892e', '4ca08ed9abd6d4e8', 'aa97744d1ed6c13b', 'c3db550fbcb1f2b1', '624baa6ea21a2be9']; context = [[45, 101], [115, 177], [28, 97], [59, 117], [19, 76], [13, 98], [51, 140], [24, 78], [15, 68], [24, 82], [116, 173], [104, 152], [20, 107], [2, 70], [8, 61], [123, 208]]; loss = 0.015559 low_pass_filter = 0.300
+Epoch 0: | | 23299/? [4:04:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23300; scene = ['7751da6b6b29b68b', 'ad2297ce81b9f586', 'acb20b13a0dad323', '4ef76ea7421ee560', '2efa09163cda1ed1', 'a679582e4dce4bc2', '0f638868da0b9ba2', '0f8ae95b5f98fbdc', 'f15c136ef957494f', 'af428b0001dc3f57', '77d020db1dda0515', 'f4c904d6fb4a2fa2', '2d3988d0393222b0', '57defd7d138f09f9', 'df5ec669a18bd867', '9490f47618eac025']; context = [[2, 61], [35, 83], [32, 104], [0, 54], [148, 234], [5, 81], [45, 106], [2, 52], [27, 79], [28, 77], [10, 75], [37, 90], [1, 49], [5, 78], [60, 115], [148, 198]]; loss = 0.014103 low_pass_filter = 0.300
+Epoch 0: | | 23309/? [4:04:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 23310; scene = ['fa1144b7f9d07d59', '4d716ae41fc70638', 'ce9ac8857f5efe22', '9bad3ae70b077f2d', 'd22e085f998aa325', '92aaddb650594a25', '72e7a362766453e3', '9173f511f59175a8', '4da417ceb0d1c7ed', '835256555ef6a5a1', '28e8b02f952b3884', '6c8b264c8885d701', '1f422061ac96b1eb', 'ff1a9e62152d18d2', 'fb6630f991c6d324', '557c338b898f9326']; context = [[3, 55], [3, 74], [10, 62], [1, 78], [144, 216], [94, 141], [25, 72], [5, 80], [53, 106], [64, 123], [41, 116], [11, 85], [1, 78], [36, 119], [17, 83], [5, 73]]; loss = 0.013865 low_pass_filter = 0.300
+Epoch 0: | | 23319/? [4:04:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 23320; scene = ['af342e32f4c696a7', '844f5ac80c18d101', '5eba0adf88b41a12', 'd99eaa0cc001ecca', 'e1730179fd86e4c0', '97c5606fdea6e732', '55500b9b8aa934a1', 'b4297c92de82ba23', 'fdc8b395582432f3', 'dbbc84703e42d174', 'a9a85280b420694a', '32853e04e84e9242', '7a7bcb2dfd3f9ba0', '6d26732ef60b81a3', '0228dcaedfc800bc', 'aa570297256d99b6']; context = [[33, 79], [25, 96], [3, 82], [120, 194], [4, 55], [12, 59], [46, 133], [14, 72], [8, 86], [22, 89], [13, 75], [3, 70], [148, 202], [13, 98], [35, 105], [26, 75]]; loss = 0.013834 low_pass_filter = 0.300
+Epoch 0: | | 23329/? [4:05:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 23330; scene = ['d7324cfb14443dc8', '8d2177a8a4d1d620', '9b49446e9c10131b', '09b98e71b6edf251', '0598d89d419be817', '4cd8e871503e9784', '74ea79b22a813a76', '88f3bb29650980dc', '0941d0d9626dc7cf', '4d1d0bb5cd633595', '101e1666f06f4c91', 'cad2a4731e695d45', 'fc06f33018445108', 'c4d587a35f229ce3', '16c025df4b96e4e5', 'e097f3549226bd74']; context = [[0, 84], [33, 78], [85, 147], [31, 81], [51, 121], [1, 52], [8, 64], [0, 50], [26, 71], [12, 71], [27, 80], [3, 67], [11, 61], [26, 104], [2, 59], [59, 122]]; loss = 0.013912 low_pass_filter = 0.300
+Epoch 0: | | 23339/? [4:05:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 23340; scene = ['0d4c07701fbcd987', '9c81979412763fc5', '623f0cd8db399bb3', '1464d90908c5b87a', 'f2f26942afae1b61', '28ea6096b062a3c4', 'b8c2c1a9e7ee25c9', '838294ac1983543d', 'd8850b6a341accb1', '039c99628d6ca6f9', '226db7916cf0d5ca', 'eafab5a4d0a85c15', '18a1b3760e40d9ac', 'e6828e4eb26c2f83', '6643261a369ffb84', '02ee92ce0474d617']; context = [[111, 166], [104, 192], [1, 46], [5, 83], [24, 95], [10, 98], [2, 71], [12, 86], [136, 181], [0, 49], [153, 199], [76, 149], [30, 80], [6, 70], [8, 96], [5, 62]]; loss = 0.014261 low_pass_filter = 0.300
+Epoch 0: | | 23349/? [4:05:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 23350; scene = ['387a1f901c5bab8e', 'be1c77697b6f4f11', '1997a21f798ca9e3', '763ce916c8d26b77', 'd53efe379cea64d0', '4a45badf5619e5fe', '29c8900e0a42bccd', '7ecbdb46f44fe233', 'd84f79f173111bde', '7bb16cf8f243ef02', '496337b3dd23dcb7', '3df25cd150c1731c', '4d068475f639e6a3', '434655ed36bb4840', '066df456a0ad054a', 'd6d6a4bc6e197e68']; context = [[3, 53], [10, 94], [121, 171], [4, 86], [5, 77], [6, 53], [150, 204], [160, 245], [3, 53], [11, 62], [124, 181], [79, 146], [40, 87], [19, 64], [11, 63], [21, 107]]; loss = 0.012829 low_pass_filter = 0.300
+Epoch 0: | | 23359/? [4:05:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23360; scene = ['d56bc7ca0f6368bc', 'aea713a654bc70f2', '096ec46a582e58ed', 'b53a8e8d3caa0f66', '611e7445a2567f6c', 'a53e86a301e2d2b9', '184f88882b243fb6', '739668a2e4736e71', '0b2c6745daa6b386', '3027e1f17f7891c8', '430406c1e2815e24', 'b0441fae76190daa', 'f302eaad53cfb0b2', '11ebf927faa75db6', '551c2fa9249383ab', '165b60928edc5d9b']; context = [[9, 62], [3, 48], [63, 132], [117, 172], [47, 129], [212, 275], [64, 139], [0, 49], [90, 139], [76, 133], [171, 220], [31, 118], [10, 68], [0, 58], [4, 62], [8, 90]]; loss = 0.013998 low_pass_filter = 0.300
+Epoch 0: | | 23369/? [4:05:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 23370; scene = ['379f7d095dd31bbe', '66a09cc7f5e4dbc8', 'c86ccd2448e8735d', '1f2c53501ca20a48', 'cb6f68fd2e9755aa', '37ff350eba2c5f64', '6d638e347e889c63', 'bc8d6f045241fec7', 'd705175cee467a2f', '0476466b02a84b3a', 'ffc4643950346872', 'c28f10a578096fe7', '008d5bc870d12c22', '10810c921b4b3f84', 'bd4ff15a9c811ad1', '640df76ceeee5757']; context = [[21, 108], [3, 71], [12, 80], [39, 126], [24, 77], [98, 175], [50, 97], [23, 74], [58, 145], [12, 102], [12, 81], [13, 69], [68, 138], [10, 68], [14, 100], [5, 62]]; loss = 0.013948 low_pass_filter = 0.300
+Epoch 0: | | 23379/? [4:05:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 23380; scene = ['b519397ffd947056', 'a8013f840680bad5', '994090734564320b', '786d7805ee6f3ad4', 'a76ec83c9984d4cd', '9b07d9e9bfde2127', 'b8c4f3337fbd630e', 'a2272a447c64f48b', '0637e12cbe3bf018', 'acb431ff8ce66742', 'c0b57a0faa740fe3', '4f8a2a2eda771eb0', '964b86c3822c6381', '8e17c90f00070f16', '5cc6cd5366cbbe2b', '8847ec0cc3850701']; context = [[12, 95], [16, 81], [98, 154], [119, 166], [0, 84], [1, 57], [25, 100], [29, 92], [0, 60], [121, 180], [171, 233], [9, 61], [44, 95], [45, 123], [75, 148], [110, 170]]; loss = 0.013457 low_pass_filter = 0.300
+Epoch 0: | | 23389/? [4:05:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 23390; scene = ['6c767949ba9cd00e', 'ac8fc8f2ab52719a', '6f111fbf5e449478', '769f2c32b56cfb49', '9c61dd28fddc8d7c', '0be86da2860e67e1', 'dd2fd9055ee69419', '0ebaf1f06a17c1c4', 'e94e5df06dd48826', '3fc8774e34beae34', '56b96652f474e2af', '1096442425fe21db', 'ceebfcfc94921ac1', '061d54afa40ad4e8', '28072b33e95ba5c0', 'f45582a935f66bb8']; context = [[3, 53], [4, 50], [67, 147], [54, 130], [9, 55], [19, 70], [7, 58], [2, 47], [198, 246], [35, 104], [105, 166], [22, 72], [4, 65], [1, 81], [4, 93], [104, 160]]; loss = 0.015802 low_pass_filter = 0.300
+Epoch 0: | | 23399/? [4:05:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 23400; scene = ['e44b59a699ffcce2', 'ebf2ad60f1f00ee7', '026545377f412ea5', 'c84e9003ffb43435', 'bca61f1e9542ea69', 'd63160ea8db69f94', '0691f3bd7ba0973d', '91b548615aa3a6ea', 'c78363372eaa6b51', '03a4047c49065b31', 'f3eddf3f21377715', 'fb1bb2f9da83193a', '9f7fb6a4d5bc5b5d', '9ccd515a79d1f365', '7f7331d1f9e876cc', 'bbceebcb243b1c99']; context = [[59, 119], [95, 142], [2, 50], [50, 114], [22, 76], [5, 85], [31, 88], [25, 93], [75, 163], [39, 105], [15, 61], [31, 116], [6, 65], [36, 84], [4, 84], [0, 48]]; loss = 0.019137 low_pass_filter = 0.300
+Epoch 0: | | 23409/? [4:05:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.0train step 23410; scene = ['a40667b9b3b2beb3', 'b8c66dab70ecc10c', '7e7f5feb008dd9fb', '998b6467b6301a33', '0b8494a5c91c18a9', '95553c6d4a90fc32', '6b8f32f92dd0e644', '4071f013d607956c', '1786a3ef14ae7d19', 'dba56f32f3c6cf9e', '8366faf56e918ebe', '0481ebfb4942984e', '404528c832c55d9b', '58ba2fd29b6a2a07', '9b64e7208792a0ca', '7543db50a116e851']; context = [[0, 77], [40, 102], [0, 53], [12, 97], [21, 71], [5, 93], [55, 128], [13, 71], [25, 113], [12, 63], [28, 95], [1, 54], [73, 148], [28, 84], [10, 70], [23, 89]]; loss = 0.018903 low_pass_filter = 0.300
+Epoch 0: | | 23419/? [4:06:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 23420; scene = ['76d9531e2f92d2ba', '06f0d295c0618b29', 'c07ea4ff919e5f92', '689dcecebb827840', '7fc974555b4b9640', 'c8cf673ce88ca4af', '6c874168915d466b', '7b84e647a32a4bb6', 'a64e6ad0a94e2f4f', '919f4e26ce4fa021', '9b7f918f5a15272d', 'e4e6feba6ad8534e', '4740cf208d28502f', 'cc3e6da23fec83d0', '8a3c3d62d87c8964', '835d4ac0d550e3ef']; context = [[159, 236], [6, 75], [21, 85], [103, 163], [20, 70], [11, 65], [75, 160], [22, 106], [69, 149], [1, 50], [7, 82], [32, 87], [0, 76], [9, 64], [7, 72], [2, 91]]; loss = 0.014891 low_pass_filter = 0.300
+Epoch 0: | | 23429/? [4:06:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23430; scene = ['b9b2b65f59998894', 'd548d549d85db5e8', 'bdc692b9ee710d58', '06f1f44839e7eea2', '4797e813ea4a5ed2', 'd0c0d78936b6e5ce', '59ec36ffb440b683', '46104808b33c09da', '7dfd0a5df7c0f4c9', '11966948be24366f', 'd779cbdf0de8617f', 'ec2738b1381a1fa9', '4019a58c9b858cf9', 'f9972d12a428afb8', 'e17b2eb28877f7e9', '9aef44a2794648ca']; context = [[14, 96], [115, 174], [31, 96], [52, 112], [3, 71], [8, 76], [51, 127], [1, 48], [0, 64], [58, 104], [0, 45], [98, 168], [72, 143], [115, 182], [31, 81], [8, 91]]; loss = 0.014341 low_pass_filter = 0.300
+Epoch 0: | | 23439/? [4:06:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23440; scene = ['c9fd47052ffbb2e6', '8a992755a8cf4051', 'f99aafb53f76f519', 'b0d028f08185a675', '529e2387fa3fb753', '0546b901d6b75353', '7addead467bf9cde', '60f5e5607086c08a', 'ebb7dc16b320e609', '2a97804c2c08b819', '72a33dddf16c6f4d', '01fe7ffb0ebe1f90', '45694e8bcde889ed', 'dbbdd67bb58e7434', '81c7dc4d940db5f7', 'b0bd5aafae9d4ed1']; context = [[177, 259], [29, 78], [3, 88], [122, 171], [19, 64], [15, 81], [0, 82], [116, 182], [0, 67], [47, 125], [35, 80], [3, 55], [220, 270], [63, 111], [19, 64], [50, 100]]; loss = 0.014942 low_pass_filter = 0.300
+Epoch 0: | | 23449/? [4:06:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 23450; scene = ['2a6c45965d00e73a', '70ab71f97fc208f0', '1a62c49c1a96a7e4', 'a90f5bb46b54c08e', '36c270e51079b9f3', '81d9a45e3752415c', '1bbde963ed300641', '09727b443eef18dc', 'b3a300b233aef618', '8c89fdf2c6a13c25', '4af7e21e451c4bd3', '7e79c57c6189a138', '73b73c8050d2db9a', '826259ad3304c0c8', '44fa7aa13c6dfd8e', 'b8dbe84d40168153']; context = [[7, 57], [4, 94], [0, 55], [65, 154], [3, 80], [34, 111], [1, 64], [109, 178], [2, 51], [0, 45], [27, 94], [134, 220], [33, 115], [6, 63], [3, 53], [46, 131]]; loss = 0.015808 low_pass_filter = 0.300
+Epoch 0: | | 23459/? [4:06:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 23460; scene = ['2605fa738da22f6b', 'bb257de5acd70846', '5e7fb96b9b2254db', 'da4089450625c919', '98b8ce7ec5136f36', '87ae4812a3561fc2', 'd4e2a25798b8bd8c', 'ee75648a918a075e', 'c69dafa3925513e6', '336e6ce8417c1385', '6ca66a506af6977d', '16a43f0f34d4544e', '7e9b3cd0dee772b2', 'ffd9e246389da5b0', '6c35eb26f6605ff6', '0d3a9dcb9edc7e49']; context = [[44, 103], [19, 68], [107, 186], [9, 87], [43, 106], [0, 53], [20, 85], [24, 110], [9, 75], [0, 75], [23, 85], [135, 204], [9, 59], [19, 92], [82, 137], [206, 277]]; loss = 0.017169 low_pass_filter = 0.300
+Epoch 0: | | 23469/? [4:06:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 23470; scene = ['ff87c19446c6325e', '3d7b9635ce40110e', 'd6c25b52e39788fd', '8eb7ab71f603c9d4', '9e1b58ec292d6690', '0aa2d2048c581dff', '1dde46011900a1e1', '70ba8be172f1d209', 'b18ad2d92b4566cd', 'ed1f9d7e553c16d3', 'cf63aee5c595cf86', '0bf7fd35f239db86', '03e14075bd5a554f', '177f4c538bca33cb', '7a2d701dd0bf81cf', '9d5681ac698e7930']; context = [[39, 84], [11, 62], [23, 95], [78, 168], [106, 159], [130, 212], [86, 142], [1, 67], [14, 94], [19, 84], [69, 150], [169, 259], [23, 81], [1, 72], [9, 83], [8, 83]]; loss = 0.012735 low_pass_filter = 0.300
+Epoch 0: | | 23479/? [4:06:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23480; scene = ['7a40c2ec4e36880e', 'face86bf6353a397', '11a0178831a2ae2c', '593dfdee6abc704c', 'f61b6261a949358f', '69596c7df4b9df23', '7b4630c7ece2e8ab', 'aeb0a9a7ae4b838b', '05af99e31e03f56d', 'b4e43cc596346d37', 'd50477f0630eeff2', '68261a2556d8c15f', 'e462c16cfa80010b', '2edefc47848a54ba', '782b0391f16606fc', '88c179b4f3f5712b']; context = [[5, 72], [51, 119], [19, 79], [20, 74], [67, 139], [9, 92], [37, 83], [0, 53], [39, 88], [13, 67], [38, 98], [44, 127], [19, 94], [5, 54], [4, 84], [18, 63]]; loss = 0.017954 low_pass_filter = 0.300
+Epoch 0: | | 23489/? [4:06:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 23490; scene = ['5bfcfd9def7a2b51', '0cd73950b7539bf8', 'c34f53846021bdc7', '328a6875cb5eb807', 'c1094056fcac6331', 'bdb556235c45ef57', '42137efac1bbce12', '4ac5bc6492182933', '0fb8532f1a1d4f72', 'ab8ba3fca25f24eb', 'd513d044b92055cc', 'e6f0cbedb510bf73', 'e9f2b3b91f9a1996', '63624b6a57f69f3d', '7350a07af6d4d9c2', '59c7874807e993bc']; context = [[5, 86], [2, 53], [84, 131], [34, 85], [1, 70], [76, 133], [14, 61], [15, 91], [222, 267], [7, 75], [120, 187], [148, 231], [3, 49], [10, 98], [4, 59], [60, 118]]; loss = 0.015674 low_pass_filter = 0.300
+Epoch 0: | | 23499/? [4:06:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 23500; scene = ['66b08e1f685b1e39', '694c826a04dd0790', 'e16247bcbe3b56a4', '66b4341cc26b7407', 'cc40622bab93b114', '0ec94e39c196bce2', '0ba8a59b524ec188', 'f854d7e5ce456dab', 'a8c6d043e6dfd3a0', '0be9edb1ba9bf557', '0cdd03bfc96760e3', 'bdeef24748055bce', 'f70d8dc3f5ba58dc', 'a51722bd986895ba', 'b0d64c8ba50c5946', 'e4832b64e5b73784']; context = [[51, 116], [38, 85], [161, 227], [1, 73], [57, 102], [68, 130], [0, 54], [45, 122], [8, 54], [172, 261], [0, 72], [6, 88], [0, 62], [46, 111], [51, 100], [38, 101]]; loss = 0.014722 low_pass_filter = 0.300
+Epoch 0: | | 23509/? [4:06:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 23510; scene = ['5d638056c203c0c1', 'bcbf50461b51de13', '289f7be0f5845e9d', '55ccd9a655c33142', 'b84872a112abb026', '94be78a8a5500285', '9e51170a8e584e09', '4f6bf6243912aa92', '253e8f820f98d690', '5abb32040e5b9f10', 'f3b614caf5078792', 'c1771c630bca02a9', '82fb9650578cf923', '1f0cf1a9439210f9', 'b8411d41299a345d', '418164772a373949']; context = [[45, 113], [135, 216], [1, 50], [10, 68], [0, 47], [19, 80], [44, 101], [70, 159], [69, 123], [19, 96], [27, 75], [73, 137], [6, 85], [11, 56], [63, 146], [36, 97]]; loss = 0.015664 low_pass_filter = 0.300
+Epoch 0: | | 23519/? [4:07:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23520; scene = ['1b92ff53549440e5', '81816f8687df5c68', '84775696a780d940', '159b1908406ca716', 'f0e75cde2232224a', '54f4ae9238e5d273', '9293a58af522a70b', '2018a20c3c41f278', '0274ae92b3b40648', 'cd7a270da6f6da4a', '5b939cb51f37b330', 'f6d48213ef0665a5', '56f96532473be1b0', '3c74942b2a1ebb46', 'a563a9ac0035602f', 'd63e688b51974eab']; context = [[26, 71], [48, 130], [21, 77], [21, 73], [18, 84], [9, 79], [9, 55], [9, 73], [124, 199], [5, 74], [1, 46], [2, 83], [20, 81], [12, 78], [99, 152], [13, 92]]; loss = 0.013411 low_pass_filter = 0.300
+Epoch 0: | | 23529/? [4:07:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 23530; scene = ['f47ef501676c8d55', 'c4cbb66b72003fec', '68c08dd9afc6b2f0', '8cb3e7d09f0310f7', '3d2323b7e2d6c2cc', 'ec4d1bc7b2cffc2b', 'ccbd1158c0818333', 'dc83f0049473cb5c', '3f7a0be32e85cce3', 'df416414f84e7fda', '11522e4873b5e933', '6eab0e0fac67fbeb', '9213635ccef65666', 'a51531b49617fbef', '9acaf450371da000', '758b1ed875a3209d']; context = [[14, 84], [159, 233], [9, 89], [6, 80], [41, 106], [82, 158], [10, 77], [5, 58], [3, 59], [1, 50], [4, 60], [40, 88], [172, 255], [13, 59], [148, 233], [22, 97]]; loss = 0.014329 low_pass_filter = 0.300
+Epoch 0: | | 23539/? [4:07:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23540; scene = ['232a8c69d8f69af4', '0b759c1c970bfe98', '634f920c02c317c3', '04c3209481ae9313', 'ee9f906c4e9e242d', 'd91d403fb54cd658', '042c8ee300f52641', 'a6cd9e57513d0f5b', '0ce3f01ab4230413', 'b81d8d1868189a77', '41eee0d73b5ea2be', '1549c6877baaa3a3', '326e42e7776c50bf', 'b1db6db47eb6c3de', 'b42eba12a2d472f2', 'ab835dbe3d68c7b3']; context = [[72, 145], [32, 117], [70, 123], [4, 67], [14, 72], [64, 138], [32, 112], [11, 91], [12, 63], [153, 203], [124, 199], [88, 175], [12, 58], [6, 79], [2, 75], [61, 126]]; loss = 0.015169 low_pass_filter = 0.300
+Epoch 0: | | 23549/? [4:07:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23550; scene = ['82be68c78bfd5dcf', '00d80d0e284dac72', '63bd9bcdaac4b19f', '2dd2a1adc0c1d4cc', '841c8115deb71c25', '8b3765816a0cb218', 'ee9222a1310b093e', 'c3f2554fc64f42ce', '6ad2c6f0c0c903e8', 'bfacba0a18500c13', 'fa3c7a9b31e5ab10', 'af37a973266b99fc', '3aecc725df673f7e', '3f6f6c90783da13f', 'edd6edfb48780892', '3706add84fc44372']; context = [[129, 201], [31, 92], [31, 100], [24, 92], [52, 121], [16, 70], [36, 119], [20, 84], [5, 72], [8, 64], [9, 67], [6, 68], [50, 121], [67, 149], [27, 106], [0, 54]]; loss = 0.014356 low_pass_filter = 0.300
+Epoch 0: | | 23559/? [4:07:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 23560; scene = ['2844cf44f8918214', '902534468722d0a4', '6d5f9095cda559cb', '44b47f1ce0a9d648', '1e1be68e5d2c0b80', '2ba9777778fe9973', 'ceccbecac655b01c', '5a99e1d90d1ac9a9', 'db604dcd44e99d65', 'bb6c0a11d8e4853b', 'fa3629688684df1f', 'aa41eb9219ec67a4', '3397c19634a51370', '43d22adb810d0c77', '8244df16c1d41828', '526bd972a8927785']; context = [[3, 77], [15, 64], [16, 91], [69, 114], [14, 92], [13, 78], [39, 129], [3, 78], [60, 130], [6, 80], [96, 150], [17, 69], [0, 59], [180, 240], [1, 63], [9, 68]]; loss = 0.018992 low_pass_filter = 0.300
+Epoch 0: | | 23569/? [4:07:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23570; scene = ['dbb19803839aad9b', '69d079147e4c29be', '9b158471e21a2744', 'b04a2c353213cab2', 'c0d2d4f9c82235f5', '3256408a8d621dbe', 'ac1e6c768f4c913c', 'ec69ce38f103630c', '25c3ed412bb25315', '3f2add62a0b1d691', '1665c14b021957de', '6a754bfbd0e02830', 'a4f016cebe459279', '26bd2f3807377c77', '3e9346b65dc684e4', '14472523a0c46403']; context = [[28, 89], [62, 122], [42, 116], [6, 59], [54, 100], [72, 157], [7, 71], [115, 197], [0, 73], [169, 217], [2, 57], [25, 87], [2, 75], [48, 123], [9, 97], [76, 130]]; loss = 0.013664 low_pass_filter = 0.300
+Epoch 0: | | 23579/? [4:07:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 23580; scene = ['a86c32a25b92f015', '0c8af3fa6aa60dea', '85098f10e7c0d7f1', '07a0e90120a50d16', '9af2d010dab929f1', '265602128d5ab400', 'cc98f68f9382345d', 'df6ed72940507774', 'a945e873145d0009', '707f269a33776969', '1e9dc61349d8a0bd', '5f87465e4c3f3cb1', '7c7532f300d608c1', 'adf613ef8a2abd2c', '1997a21f798ca9e3', '6959505fc3548caa']; context = [[4, 84], [0, 60], [162, 210], [22, 98], [69, 143], [76, 137], [46, 99], [5, 82], [9, 57], [2, 76], [105, 187], [45, 90], [24, 94], [16, 66], [101, 178], [10, 66]]; loss = 0.012469 low_pass_filter = 0.300
+Epoch 0: | | 23589/? [4:07:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 23590; scene = ['419e0277df79188e', 'a4540429f3ab7b34', '1cc6d70643937efc', '0d7da46def0b4cc3', '4dce2f5cdfb61209', '008565fd84fac8bc', 'f5fd2d3dc5eda234', 'd33a702220f9c643', '1a50a5e0096742c3', 'b894adf6610ec8a6', '2c70a962096d773a', 'b090e2aca65c679a', '43739f82f554c901', 'd92a6ababd47f047', '121e5c07f2b87ec8', '939847209cf6cfa9']; context = [[79, 160], [32, 88], [0, 45], [190, 277], [4, 53], [166, 253], [75, 149], [0, 48], [113, 170], [100, 186], [31, 113], [59, 106], [70, 119], [156, 201], [23, 96], [5, 58]]; loss = 0.013004 low_pass_filter = 0.300
+Epoch 0: | | 23599/? [4:07:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 23600; scene = ['a9830a531549bcc6', 'c8f4d22cb5653538', '965dc73b4eccdaa6', 'a17833025aa5db5d', 'e2b2ec19777a57b1', 'c8c74724bd3e6fd6', 'fa2b6fa80b99125d', '0505defd59ecbdb2', 'f91b5035c92ed587', '8fc141c868e7d6f3', '5cf42e59740b8d9b', 'f06d8f7b16e9873c', '9f1176b8b75fa7c7', '5682c35475096f09', 'eeb5c563af1bd027', 'f43a67d03e2d1906']; context = [[17, 75], [62, 114], [1, 72], [14, 67], [2, 48], [1, 49], [5, 61], [187, 259], [19, 86], [10, 92], [185, 236], [101, 149], [6, 78], [0, 54], [28, 86], [71, 149]]; loss = 0.013091 low_pass_filter = 0.300
+Epoch 0: | | 23609/? [4:07:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23610; scene = ['5c1ce1faee51a8d9', '58ac0ca6ba85ada9', '3c102d1802f820c3', '40d0ba7e188c5151', '1346c01a9e322da2', '45d1ce034325d8b5', '3b7e2ac007968838', '8acffd95fbf48c10', 'fe6612a4ad77c1a5', '94c5aa8de54a0fd7', '8460330706be0565', '7dbb39fbee25850d', '07e89fbf76b33051', '43ee2deb23aa3765', '1f03321df3099803', '2d2f975f0e2dac24']; context = [[0, 49], [120, 197], [6, 53], [17, 89], [29, 107], [42, 88], [23, 92], [147, 196], [39, 97], [46, 116], [5, 68], [64, 153], [1, 65], [90, 143], [63, 111], [10, 61]]; loss = 0.013835 low_pass_filter = 0.300
+Epoch 0: | | 23619/? [4:08:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 23620; scene = ['ef5884b9fe26c7c4', 'fef25b6e3dd7df54', '5af820514cb6e04b', 'd86cc1513f0664e8', '27455d91c2ce386d', '895396d4ceaee46d', '64b5670c384d443a', '9765cdb385a62c8f', '99b9d665bd0f367a', '7c7abf86e91d1d1c', 'b8553aae28eef225', '0f7a8da9221b2a2f', '10ebe1515b68ea7b', '286c79e1e93e8c3e', 'c70ec2266ff05de9', '033b631b4a7b6397']; context = [[14, 69], [10, 73], [6, 60], [24, 97], [42, 109], [46, 93], [3, 93], [36, 114], [35, 102], [9, 87], [33, 118], [107, 157], [16, 77], [0, 77], [9, 78], [57, 115]]; loss = 0.014032 low_pass_filter = 0.300
+Epoch 0: | | 23629/? [4:08:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23630; scene = ['261b90e2858fd047', '94dbfc6d72ae96e1', '46d97ff2d47bd0b1', 'f70103f4455f7823', '1b640724a4303dba', '263c602274f69859', 'dd41d5c9bec9d428', '9973812e154968d8', '7ed6d0ea114b5877', 'e15367ddc67d2247', '383411354fc1073e', 'adb0906a4a25fca2', 'e94e8f250ad23b9e', 'e821ab915f836a82', '48457e629b7b9cf0', '55551330c95265bb']; context = [[160, 234], [20, 105], [64, 151], [45, 104], [33, 79], [2, 48], [7, 73], [5, 61], [45, 98], [46, 102], [13, 102], [98, 155], [13, 71], [52, 97], [29, 74], [1, 84]]; loss = 0.012964 low_pass_filter = 0.300
+Epoch 0: | | 23639/? [4:08:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23640; scene = ['8e6283e33dce0327', 'af8061cda51b0282', '4fb0f2b22cd25606', '1cbd07d0541ee2d9', 'ad298227584a4ea9', '422a848d9b8e74ed', '30256cd86380e985', '7a9685caea3ebaa7', 'aacf5d2fde59916f', 'c907383e19bd6b5b', '00419dfa0b973e11', 'f307d40c2056a111', '0157cf2bdaa05486', '46d0af2861fcfbe0', '4138ec075d5e0fa8', '28c6e30097e8726a']; context = [[0, 52], [7, 63], [2, 63], [50, 113], [28, 99], [20, 86], [18, 101], [1, 77], [5, 79], [24, 111], [10, 55], [7, 93], [5, 67], [10, 89], [51, 136], [19, 77]]; loss = 0.017621 low_pass_filter = 0.300
+Epoch 0: | | 23649/? [4:08:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 23650; scene = ['4e071b367480ff56', '0611727c792097eb', '82a373d53877ae09', '0a0d6e996be16a51', '576c87476d75eb92', '6561d661fafa1c3b', '611778173d1902ca', '2040dcb8818ef23d', 'b8ab284023427072', '34eea103bd092d98', '90b0847d0ed940fb', '65218582029a6dbd', '352fad8be7900b46', '5a9d3a2d6be7bd56', '41e92f391d4c6947', '435d2356fe28da16']; context = [[1, 81], [29, 75], [26, 90], [21, 78], [6, 53], [24, 93], [56, 101], [0, 47], [21, 97], [29, 88], [16, 66], [47, 99], [113, 185], [149, 235], [9, 72], [24, 77]]; loss = 0.014491 low_pass_filter = 0.300
+Epoch 0: | | 23659/? [4:08:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 23660; scene = ['d12825d81e12ccc8', 'e88c0f58059c2de1', '4d92ab13df7d131b', '6918fe55c041fda0', '2ea6acc7bbabe341', 'e9245e35931d0260', '8b06df9786bd4aa4', '5150534a7080bbe1', '25280e32ba676f03', '031f8b9e66601e5e', '70c56631eef0de6e', '0d8e5289e56244c4', 'fab2da62901db99e', 'f48e3fb895bd459a', '2629da604e80913f', 'abca120df6b75dbe']; context = [[2, 72], [82, 151], [0, 76], [23, 86], [10, 94], [47, 103], [44, 105], [4, 93], [3, 54], [21, 80], [0, 65], [27, 92], [11, 61], [9, 89], [12, 80], [63, 132]]; loss = 0.018178 low_pass_filter = 0.300
+Epoch 0: | | 23669/? [4:08:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 23670; scene = ['8682ce2849525c5f', '60c3751c51aabd74', 'ad28d1aa2b7bb61f', '52aff477aa6839f9', '8d43a7230b10a6de', 'd477bc7d47591527', 'cefe35d51bec9a7e', 'c8d6086fc71e66ca', '6119beda95f11d2f', 'b1b495944794f97c', '3eebe33101c2659a', '8fd0a5e0579ee8cc', '6b5eb9d2056df935', '957a0d6adafe161f', '5c5c84d490ed6a72', '16ae5cc96adfad6c']; context = [[0, 60], [137, 196], [55, 135], [11, 87], [1, 74], [3, 48], [35, 119], [1, 49], [16, 71], [30, 100], [7, 70], [7, 65], [8, 82], [31, 114], [7, 85], [1, 57]]; loss = 0.016753 low_pass_filter = 0.300
+Epoch 0: | | 23679/? [4:08:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 23680; scene = ['aa62a6ac70b80789', '0ab530d9a633759b', '7713ce831ffa7df9', 'c385bb313dbdd58e', 'c39f1a9a73797efe', '6b0d274033a5e77b', '1d83764e77e159d8', '49bf7713961a7248', '00a9f110ad222aa4', 'a28f806c4f91b310', '6eaf25e955229c09', '1b783d0063d6aba3', '8ef3803dd3c43c10', 'c1cbcf2db1f8691b', '511d24d81e925e48', '3921f3d86b2cacf0']; context = [[14, 65], [8, 57], [16, 77], [21, 94], [5, 50], [99, 182], [8, 67], [51, 116], [0, 68], [206, 253], [70, 136], [36, 97], [92, 140], [85, 137], [161, 248], [10, 58]]; loss = 0.017154 low_pass_filter = 0.300
+Epoch 0: | | 23689/? [4:08:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 23690; scene = ['de4089b39a60c2a4', 'e2e0e95b26e83c35', '8634f8cbf1d24a63', '1dee8945ce8fb43c', 'dbd3d7fbd6bc898c', '6117c2b20945c81e', '41ec906dc23d8331', '83b624f5c7880f2d', '36feb99313a2de30', 'fcef54ea2bb49753', 'c40aa75b5f7bc9e3', '2d9ea631e6423141', 'a1dcfdc8c034789e', '1a29b32f5d1a544e', 'eec8c3dd6f102ec7', '8f76c9872a7533d4']; context = [[8, 56], [71, 137], [0, 47], [87, 138], [21, 66], [43, 97], [51, 117], [120, 195], [12, 60], [1, 56], [7, 67], [2, 70], [13, 83], [47, 94], [7, 59], [18, 67]]; loss = 0.013906 low_pass_filter = 0.300
+Epoch 0: | | 23699/? [4:08:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0train step 23700; scene = ['5b3b21b947b6ac98', '3c9bbc5427f35f73', '34c71b535c38bb77', '26a13a48c0505d91', '5711ae7fe4ad2138', '2fe6276cc1839419', '81862b995f91b0d7', 'c91539af76f9036e', '1c394ede7ac77b5a', 'a99705ae70b64106', '502f274fd8641f04', 'b18c3a67a54657ef', '0cdbf9b9bdbdd5fa', '9086929b365d2a3f', 'f21c4d39822c1864', '6fe85c8acdbd8a9c']; context = [[10, 58], [0, 66], [16, 77], [27, 92], [53, 111], [29, 102], [11, 64], [0, 90], [69, 125], [148, 195], [4, 67], [14, 94], [8, 80], [2, 55], [14, 102], [11, 90]]; loss = 0.018037 low_pass_filter = 0.300
+Epoch 0: | | 23709/? [4:09:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 23710; scene = ['7be36d04cda0e9fb', 'fd19a3e4b1433dfe', '47569a0a8b03cf52', '88c6dd400bd1a841', '94a5f9c34755c629', 'dbc16c7274385757', '4375d4fb9e407419', '67cf459986d45ea4', 'da362f7f12153eb4', '54acac64824de66c', 'bbf7ebb5b844c6b8', 'd8a7542a8fa1663e', '3db875cdaf4aa738', 'bf7d0e70e720ea12', 'bc8622b3fb602185', 'a16edc1c8e94918c']; context = [[6, 60], [165, 248], [9, 82], [0, 45], [0, 82], [9, 75], [163, 222], [25, 76], [9, 79], [8, 54], [2, 66], [13, 75], [22, 72], [5, 54], [59, 108], [0, 47]]; loss = 0.012868 low_pass_filter = 0.300
+Epoch 0: | | 23719/? [4:09:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 23720; scene = ['c2df6f647a8ec742', '3adcf3d4106281b0', 'e9482c8918ba452d', '66113cea93bbac55', '649f7dda093cccf1', 'a593d3c18088b6a8', '20fcd870d03d7ea7', '3b942aac9c59a45d', '88979a54654106a1', 'b1a8286eeb11e11a', '1c000e1b7731729d', 'bf71b740e7eddf0a', '03dc9eff93e10aa5', '9e074275aee02c36', '30dc9c4889139f23', '0a0b789c09b6f06d']; context = [[55, 110], [1, 51], [24, 89], [11, 64], [0, 78], [34, 114], [72, 162], [68, 113], [2, 69], [1, 88], [4, 91], [18, 67], [154, 229], [10, 77], [11, 84], [10, 55]]; loss = 0.016753 low_pass_filter = 0.300
+Epoch 0: | | 23729/? [4:09:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 23730; scene = ['911098f20e602003', '034e89ee1adfd2bf', '0781d28ffb7b92ca', 'bab5c4c3deefbe11', '081accf980a4d097', '64cdab2d68387847', 'de111f91de9fe294', '6d4b0a0b9d2edc40', 'a3dc53d7c2c5c450', 'b522bb9dc4bb2d45', '98585b958fdbf74a', 'f3f4ffa111e6185e', '4ca2857fe858b81f', 'bb26fb8a0d9e9cee', '44c693695665aaa2', '4ff236b2462faf59']; context = [[0, 70], [17, 70], [48, 128], [7, 88], [20, 81], [0, 84], [5, 56], [30, 116], [31, 109], [0, 62], [12, 63], [2, 78], [4, 51], [5, 79], [13, 63], [2, 60]]; loss = 0.014910 low_pass_filter = 0.300
+Epoch 0: | | 23739/? [4:09:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23740; scene = ['399913e2933f1d8b', '5914b1859a79ba29', '36a94283bd372f47', '7640a98e2a577007', '6db124ca077ec757', 'b8f036b876113a2f', '0e4c27f2c15deee3', 'a6605b602a72b885', '5fc275a365d27e01', 'be7a580fe9665300', '031f129ff5a92a4c', '7cf2d074de115901', '2f66a0b10f4cfdfd', '741ebac263e5509b', 'c1a1b6cf6c638d5d', '0fdcf15c9429e174']; context = [[48, 133], [193, 254], [25, 101], [31, 96], [4, 64], [44, 123], [27, 78], [1, 91], [140, 222], [1, 78], [0, 61], [11, 66], [113, 171], [87, 153], [2, 63], [55, 134]]; loss = 0.015652 low_pass_filter = 0.300
+Epoch 0: | | 23749/? [4:09:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 23750; scene = ['d99f6c8166bea9a4', '08c6b8498e3faa7f', 'cf191fc42119779d', 'a0e36ca1c29a190f', '11767298880a5753', 'a6dbe411d56e283d', '5a94ceba79711c13', 'eecf7db21e587528', 'cb72c6bb904fde17', 'b351d2c9017e65cd', 'a1ff280651bb5e19', 'd824ca7f84872f21', '0e2c3ca96b8ff3ab', '1c545caf1931d773', '2ebd96001679704e', '529d61d09bec94a1']; context = [[104, 179], [13, 59], [11, 71], [137, 206], [2, 84], [28, 85], [114, 163], [15, 100], [57, 124], [1, 67], [15, 70], [35, 86], [33, 100], [13, 68], [9, 69], [18, 85]]; loss = 0.014106 low_pass_filter = 0.300
+Epoch 0: | | 23759/? [4:09:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23760; scene = ['1be5aeafa693a55f', '3b904c75121b50d6', '0a683a595f574a3e', '9a338b05ac5e0488', '7ba0f68640ce9c8e', '412977eaf3f723d3', '067465f3c21db874', '753eed47a45ccfa8', 'bb38e006ba4dfe71', '009f73815f3e3b42', 'c719ca7c3e40e8d7', '52aedd18a6e301e2', '10cf209464d06e23', '99f92784e60cc38f', '41124e4adc65cee2', 'bc499babd52242f7']; context = [[114, 163], [12, 61], [58, 137], [33, 99], [5, 89], [145, 223], [3, 79], [41, 104], [14, 84], [69, 140], [26, 107], [64, 150], [2, 64], [13, 97], [17, 77], [35, 102]]; loss = 0.015225 low_pass_filter = 0.300
+Epoch 0: | | 23769/? [4:09:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 23770; scene = ['e90142433a6207a4', 'f1a2a1855da568fe', 'f9a728faa63a1d3b', '42b690cce34c81c6', 'fd79bc222f3d215f', '38f4d6848424acfc', 'e43d5ec97a28d779', '58e9b7fd0a4622ea', 'cd95f67976c30d9e', '2aacf3b31d7ddb30', '0372dbcceae0e69c', 'de860ffede23edfe', '736aebe2985e23f5', '4cb365b666eb29d3', 'f72a46ac3bfc6ef2', '3cb297a2e436d852']; context = [[7, 70], [10, 62], [10, 67], [16, 105], [28, 78], [15, 72], [15, 75], [51, 100], [16, 86], [2, 82], [143, 209], [23, 69], [6, 65], [114, 176], [13, 69], [0, 52]]; loss = 0.015701 low_pass_filter = 0.300
+Epoch 0: | | 23779/? [4:09:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 23780; scene = ['3097fbf4e8e1cf6b', '1c7f730db5d85172', '3a362a67b9e12376', '25d01adc0dba1ce1', '35defcd6d8369e3a', '21dc12bbbe7810d8', '926981007a66053d', '114849750993031d', 'fc9d80ae4b6f4319', 'e1d4b9c7b39aa748', '6e227c266fdbe6be', '61e58c0e1e989379', 'f801f07cadabddfb', '571c726d284c5fef', '43f5a800c0b89a68', 'e7db8f8b988dc249']; context = [[33, 110], [8, 79], [28, 90], [68, 135], [22, 67], [10, 98], [21, 96], [1, 63], [1, 48], [182, 235], [12, 101], [112, 185], [27, 77], [82, 138], [4, 59], [2, 78]]; loss = 0.012717 low_pass_filter = 0.300
+Epoch 0: | | 23789/? [4:09:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23790; scene = ['6adf75bc6d45fed7', '74ff55f4ab8a28ed', '051a251114fa351b', '9de4a1a6942141b5', '1188e171a4f746d8', '4085c1e8f57f9e82', '9cedb8b2ef4174aa', 'ee1b443b2c28405d', '8133c5c5e0b6da9f', 'e52cfaf24f493d5c', '04990e0e0320ac2d', 'b90a83734094c8b0', 'aa46e13f5533ecad', '85dcedd1ced0a5c7', '66fd7a5ab38b46d3', 'ea37055c196b5e20']; context = [[81, 143], [33, 103], [63, 108], [0, 48], [0, 55], [4, 53], [20, 106], [40, 103], [129, 189], [6, 92], [9, 54], [11, 60], [2, 49], [29, 111], [7, 62], [35, 121]]; loss = 0.016473 low_pass_filter = 0.300
+Epoch 0: | | 23799/? [4:09:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23800; scene = ['eb070471455f41d7', '96165ef749af6682', '4cb6b2cbed53a08d', '79a4eb8c12e5e4b2', '308d0a8c54e6eb05', '4265bc29121b026f', '1241752ef8ae4ebf', '606694c05e360ac8', 'd170a72d5c176223', 'c0c54c2b4baf2273', 'ff267c0c172aadd7', 'bb6360fc6c2a7a6f', '238c273ef45e76cc', '4f5699de910b5725', '46dada9a4e71accc', '96e64cff9e0bf42e']; context = [[122, 171], [33, 113], [13, 74], [5, 67], [3, 80], [12, 77], [2, 56], [44, 119], [64, 147], [5, 63], [127, 206], [138, 227], [3, 83], [42, 91], [8, 92], [1, 85]]; loss = 0.013940 low_pass_filter = 0.300
+Epoch 0: | | 23809/? [4:10:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 23810; scene = ['bda51613b8944e3a', 'e313fc42cfe43a81', 'd1a6d6a046f37dbe', '79632305e38f4e61', '507b9f1675988055', '5105fedd23e13f92', '931437c7f8178635', 'c53eb8ed399c3598', '209188b1da3526c6', '2972a48deb0c801a', '0c7d36ad5763c797', '5387ea1020469345', 'bcba9e739eeb3c1b', '4722c8deb063edf6', '1182d7d1c0cbff1e', '11112d5aeab31689']; context = [[32, 117], [83, 133], [17, 62], [26, 102], [8, 81], [32, 92], [125, 184], [65, 134], [0, 49], [9, 81], [48, 118], [0, 45], [81, 132], [119, 189], [24, 80], [0, 53]]; loss = 0.012544 low_pass_filter = 0.300
+Epoch 0: | | 23819/? [4:10:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 23820; scene = ['c71a3f7b89568081', '594fbed6ddcf5d76', 'c81d4754f0698b08', '84a677850a497c1b', '2cae9357db942907', '2ce0b28922029595', '8a982e13ab083f88', '712206775e84f1df', '203a0f1b9d11a60d', 'f4f25a0c7f0a7678', 'dbd5827b342ba032', 'fa465f3c4ff91646', 'a18b5e5cff3d2ed7', 'dbfa4a019a577df0', 'b6505a16a99fc05d', '146f7025acd4ae32']; context = [[58, 124], [7, 67], [7, 61], [17, 80], [7, 66], [40, 122], [116, 166], [25, 103], [3, 66], [13, 73], [15, 68], [62, 144], [63, 109], [59, 114], [36, 92], [76, 125]]; loss = 0.013829 low_pass_filter = 0.300
+Epoch 0: | | 23829/? [4:10:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 23830; scene = ['4994aabf6ecddf13', '2643d60a731e5d92', 'ed9d715df2eed57d', '79aeba7d5a911620', '31c515e53294d11b', '1c84e33ec928d7a3', 'e7ca86a31912e83a', '3450a747348bb412', '8b980fb43382ce10', '62ff792e124c30c3', '7ebd83e1c25311ce', 'a7a79393e5bb8108', 'd437beb1a01fabf2', '6cfc76b16e72752a', '4d3d2461e84578f6', '6cee8362ee57a4c7']; context = [[2, 50], [72, 137], [60, 137], [18, 97], [65, 134], [0, 76], [0, 61], [110, 185], [8, 62], [0, 49], [97, 184], [123, 194], [14, 90], [0, 46], [97, 184], [64, 154]]; loss = 0.016534 low_pass_filter = 0.300
+Epoch 0: | | 23839/? [4:10:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 23840; scene = ['a5812ef0bb0bc156', '5eaa519bafc221d1', '374db1b7332138aa', '4a33995db5dfb77a', 'ce72473f822a7431', '422d26887c24af8f', '3b57ac636da7426e', '2c0d8c978ddbfb77', '146ab7cfd6c40080', '76e3767736ea1fcb', 'dfce5eefef18f037', '05caea054b89afc9', '893631aa1120f800', '9508bbadb133599f', '0a8e2e73b0a0ddeb', 'bc3e84661532f610']; context = [[4, 57], [54, 122], [38, 117], [5, 92], [113, 159], [160, 250], [23, 77], [162, 229], [32, 112], [7, 91], [1, 61], [8, 60], [18, 65], [5, 74], [118, 168], [46, 114]]; loss = 0.015361 low_pass_filter = 0.300
+Epoch 0: | | 23849/? [4:10:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 23850; scene = ['40788c7ad8260635', 'ccc8fb6694c05156', '9497ed29cc566c99', '54090f0d79c2d5d6', '6989116a3baf6c4c', '6c624d9684bc26ab', 'af57a1f0c29eaaea', '94aa49ed217160d2', '3c98d600041d2bcc', 'c9a73532f0cc200e', '78463c78b97d6cdb', '97f73b3de5c78cc3', '4188d18d531e631d', '779e552026166070', '960176f87cb28bcd', 'f400159b3dd78ef1']; context = [[23, 69], [17, 75], [112, 187], [10, 60], [103, 157], [145, 191], [23, 93], [0, 89], [17, 69], [105, 172], [8, 58], [14, 81], [128, 218], [18, 77], [35, 116], [174, 219]]; loss = 0.014062 low_pass_filter = 0.300
+Epoch 0: | | 23859/? [4:10:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 23860; scene = ['352ea39555d2784c', 'a4eff70d45cc7edc', 'e1cafceb24432d44', '36da5bfc050f2b8f', 'ad1ad6648a30592c', '3a5198b65dbb885d', '92553baab8a6350f', '7312029bb0d183d8', '3d89d4ffaad809e6', 'd2a98ac1375bad94', 'c4c41548cbe80a57', '633218b916cd8c42', '9105a2228767887b', 'f0460e82a071eb81', 'c3e7bc3a80c717b2', '61d56cc08c4036e7']; context = [[91, 138], [48, 96], [47, 105], [13, 67], [23, 78], [10, 68], [0, 60], [16, 65], [64, 141], [0, 83], [35, 106], [26, 98], [3, 51], [7, 66], [2, 59], [27, 87]]; loss = 0.012698 low_pass_filter = 0.300
+Epoch 0: | | 23869/? [4:10:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 23870; scene = ['9db69fef43d2950a', '7e3273b72ad96149', '68c25f69810089a9', 'ed352f2665692016', '3177e84ecef83f28', 'a30e8f30f010b35d', '8364c4321985f96f', '5d54686ded433477', 'dcebdfce0a2e58ce', 'e30090f2ddfe76ec', '42e4ec273becc513', '2c4d908d5e4461a7', '7badba95b5be610e', 'a0cf7452376463d7', '996c2ee081cda2d2', '1db027885e90c8dd']; context = [[67, 124], [60, 113], [69, 159], [3, 85], [95, 171], [32, 81], [37, 88], [1, 53], [8, 71], [51, 131], [2, 50], [20, 108], [29, 88], [8, 89], [35, 105], [21, 75]]; loss = 0.016409 low_pass_filter = 0.300
+Epoch 0: | | 23879/? [4:10:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23880; scene = ['e2b2ec19777a57b1', '9f1176b8b75fa7c7', '9dda63b4544559e9', '2bec6e124cd3ebe0', '778eaeaaffc6107d', '34461872e645d034', '338d0fb7e58dd4a3', '83222e191a9467b0', 'd39bcb1fee36c69e', '0c7171edef36d44d', 'ebde595b532cf60c', '0684f42098862b74', '63e1fe6bf65b14e7', '92034bb11058e391', '17970a4aedd7b101', '204c24d2d8cc0ef9']; context = [[5, 83], [13, 80], [6, 78], [129, 178], [1, 86], [8, 96], [1, 74], [40, 93], [46, 128], [59, 116], [40, 85], [1, 62], [24, 88], [25, 90], [41, 92], [27, 116]]; loss = 0.017293 low_pass_filter = 0.300
+Epoch 0: | | 23889/? [4:10:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23890; scene = ['34190d68a1b448c2', 'bd80a34c8284be79', '591cd9d079cd7842', 'ee0b6a573114fac8', '58ae98561b032336', '800a669b1c71e57e', '1f00c672019b7518', '3563d57b640d17a2', '4152488d56222ebe', '080705db9a5d415f', '62dbaf64a3a79445', '595a7ae35480c8da', 'ab4d0b7e8c84e34a', '8fe341dcd0880bd5', 'bbef35c557166ae6', 'b2e8a9bd957dcd52']; context = [[9, 68], [76, 158], [1, 47], [61, 133], [1, 55], [24, 101], [176, 230], [25, 91], [32, 84], [71, 128], [27, 109], [39, 111], [4, 78], [70, 121], [2, 71], [30, 85]]; loss = 0.012840 low_pass_filter = 0.300
+Epoch 0: | | 23899/? [4:10:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 23900; scene = ['4df6563a6aa62cf6', '3192eb6bc15f9d05', '2ac828b2d772802b', '615dcaa6165fa8a3', 'e1708ac5f3c9a691', 'ea194ae39cc728a0', '59b9ed5329423df9', '738d1e2c8704f807', '70760ddbd2623e79', '68a7c9ea97d37b45', 'f5e1dd1e349fcc99', 'c6cf5bc481b73149', '640b9d9d37478538', '9a03f1ebe4d8e11f', '1cd2f8ca6bf7a19a', '94b4b22fc9ba462f']; context = [[122, 169], [8, 77], [93, 148], [52, 120], [0, 62], [5, 51], [7, 78], [73, 118], [48, 97], [56, 108], [2, 70], [119, 199], [22, 83], [16, 86], [13, 84], [48, 125]]; loss = 0.016556 low_pass_filter = 0.300
+Epoch 0: | | 23909/? [4:11:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 23910; scene = ['41bde7bd3b983de7', 'd3b11ecdf9a56141', '2337d2c8ed62f62a', 'f5aeb9de1e33fe73', '40d8ab238f652221', '63f813f5e1da9722', '53de9a4e07e66c31', '04141e7311b5b776', '1ab1fedaf04d995e', 'df538baac0ae8b3d', 'a5c4b8df91f1567f', '2abea165b6c845b2', '09f304bfe09e62d9', 'f3133558a4b75863', '6a522c0ce8243b77', '03687aa40f30e3d7']; context = [[21, 105], [35, 96], [162, 241], [5, 79], [9, 61], [3, 77], [39, 87], [2, 55], [13, 87], [131, 211], [1, 56], [92, 140], [90, 140], [35, 86], [194, 277], [14, 74]]; loss = 0.015017 low_pass_filter = 0.300
+Epoch 0: | | 23919/? [4:11:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 23920; scene = ['54190bcf73f4eedf', '6eb73382a4482efe', '04887b0875f7e718', '5222beadb503d49a', '1f9d4ff0ee12db50', '3b0773ad88f66cb8', '7f9fc192d813b6e0', 'fe50cfbbdd716600', '1ad460e60839641a', 'd61c0c4ab6c707b1', '1a0bd5daf36cc951', '7dcae326d6db3529', '1e7a40e218244c8e', '704056e57542887d', 'cb44c69779b70207', '926d9f0514c9c5e8']; context = [[55, 114], [18, 67], [39, 105], [70, 124], [94, 169], [134, 215], [16, 80], [5, 65], [4, 55], [2, 69], [21, 103], [11, 69], [16, 82], [1, 58], [0, 47], [119, 170]]; loss = 0.013384 low_pass_filter = 0.300
+Epoch 0: | | 23929/? [4:11:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 23930; scene = ['28478600e3b81375', '9f7fa8a32d5eaa0f', '603316b1dc24f110', 'c7214d2428c142d4', '752ba3766ee6c630', '877e982c2aeacb3a', 'd3b5f1786c3ae039', 'dad822bc57edd5c0', '9de65d8d1ae2f1d6', '08abaadc249c6402', '1f7737edc0fcffd9', '262cf191665489d7', '36836948d81feb91', 'fdffda6a9c238070', 'deaff9fb0452f93a', '6736bff536cac8cf']; context = [[1, 48], [98, 173], [11, 86], [72, 125], [69, 152], [10, 82], [0, 45], [21, 80], [2, 72], [3, 91], [174, 245], [40, 102], [31, 115], [25, 70], [83, 171], [14, 59]]; loss = 0.014167 low_pass_filter = 0.300
+Epoch 0: | | 23939/? [4:11:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 23940; scene = ['9faa825f3e5844bf', 'a61413d8a6babcd3', '07486563a4a6767e', '89d9ee9f99fd55df', '2f4de674cef4b745', 'e7bfd263ace09454', '5f33a3cefc16a608', 'c88338c9d91fa766', '4df26a05670de190', '2d6e5b8046acc8e9', '55eb4c5f38e2129c', '7517d3bb59f2a3f9', 'ede816a29cb7f0f1', 'b020cec718b2a496', '398fc172733ae106', '004a40da569ee807']; context = [[15, 81], [31, 115], [3, 65], [34, 122], [19, 106], [110, 164], [15, 64], [146, 194], [0, 75], [1, 79], [15, 66], [31, 106], [21, 95], [21, 68], [5, 79], [39, 113]]; loss = 0.014186 low_pass_filter = 0.300
+Epoch 0: | | 23949/? [4:11:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 23950; scene = ['6149aade1b7de1c8', '977eb4604758bcd7', 'ac56fc9d958777ec', '222acb29d1b3c2aa', 'db9435d8cfadb24e', '6d1a7f2061758a7f', '0bb14b8b474c9eba', '00a87dd567cdc292', '7326aa4935d38c48', '026b6ccfcd08ea80', '3f30aa84e7305602', '097b23d5ae2aa4de', '4907375e0a4de10e', 'a10052fb69f15ffc', 'fb0040c94bea2a4d', '47b3e5d4b3b534e5']; context = [[0, 88], [28, 98], [74, 151], [10, 68], [188, 253], [32, 100], [95, 154], [46, 132], [86, 171], [150, 200], [173, 260], [10, 79], [8, 75], [17, 96], [20, 96], [53, 121]]; loss = 0.014317 low_pass_filter = 0.300
+Epoch 0: | | 23959/? [4:11:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 23960; scene = ['5733f4920106412d', 'ec3cadce0704357d', '91b147adad2393bb', '6539a1c57c640f9c', '22e2907594eb8988', '953004cab8791553', 'c05986fca7a09265', '3ec62fd89dfa182d', 'a288aa4201b54228', '2dc12db33c77f91e', 'f5fd4c9ccb08fa6e', 'e9b471036d4d32ee', 'ef5524c633cc7663', '95368421263dab32', '5393d8747f383c43', '33ec839775a753d8']; context = [[178, 250], [95, 179], [25, 88], [54, 107], [144, 190], [48, 107], [22, 82], [0, 53], [165, 211], [7, 56], [16, 93], [0, 48], [3, 76], [53, 138], [156, 230], [3, 78]]; loss = 0.014049 low_pass_filter = 0.300
+Epoch 0: | | 23969/? [4:11:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 23970; scene = ['edc83e7b7f29783d', 'f2b206d102455492', 'b48a74d5897225b7', 'ba506a2afe2da7b5', 'f58c91468cb0c58e', 'bd03499b0e76b3f9', '38dd6bc571144b30', '31c859a8bd42c4a3', '9d6bf676fdc833ee', 'ca0d07682836a687', 'fff27d28ee33a4cf', '10b5103169304f0c', '1ef4450999f0e6a8', 'c8557da11d7874e0', 'a0aa55abb59b70e2', 'aaeda995507b804d']; context = [[14, 77], [70, 157], [10, 62], [5, 90], [9, 60], [157, 202], [143, 224], [14, 66], [7, 52], [104, 177], [7, 63], [131, 192], [60, 150], [44, 109], [19, 92], [11, 57]]; loss = 0.013101 low_pass_filter = 0.300
+Epoch 0: | | 23979/? [4:11:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 23980; scene = ['b667f148c3c3f676', '9c6156880765b4d4', 'cc0312fce0eb4810', '185dd19a374374ee', '02696502ea9fd95f', 'efe68758a4f58ec2', 'b4ad9523e2d5d1b6', 'ae7636cbffdb1d35', 'e1a351b19b796c72', '98b704ffc9ad975b', '051a0cef1ab97aa0', '2ecfe92d63af8e8c', '90f0dad28290798d', '2fe6898d6b504488', 'c0d7c010544c5256', '85719f352ee0c48f']; context = [[2, 75], [11, 68], [34, 90], [6, 53], [9, 58], [35, 90], [4, 67], [7, 81], [21, 78], [9, 54], [57, 107], [11, 58], [126, 177], [20, 78], [26, 89], [19, 71]]; loss = 0.017725 low_pass_filter = 0.300
+Epoch 0: | | 23989/? [4:11:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 23990; scene = ['ecd91cb5b8acbad9', '7ce59b93cd4d98ac', '69a31234f2d534f3', '3eba2babc6d32260', '21122af05bb14a08', '06d059c778425778', '2fff98add2ed8bef', 'bf0b8493fde40469', 'f6dd643a4e792839', 'afd894a4b5460a20', '1f2b2e721bbf85e1', 'd82d41749c3d8e11', '937e53a30254c8f1', '26d5677e0637ed14', '3f74a859064e1c6f', '1ba3ae46eda9f013']; context = [[6, 95], [121, 203], [7, 88], [15, 65], [4, 70], [203, 267], [2, 63], [57, 104], [5, 58], [15, 100], [4, 68], [0, 51], [3, 75], [3, 79], [14, 67], [12, 63]]; loss = 0.017859 low_pass_filter = 0.300
+Epoch 0: | | 23999/? [4:12:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 24000; scene = ['0f269fbd2e54d5c0', '8d6d9857a57baee3', 'ce4f7bf72c8a56df', 'a11a4c848afc6292', '50cb9194a0e25204', '305930c2ac2205b3', 'aaacce7a4a7c9725', 'd89ffa569fafc6a8', '8dd05db385680029', '679057d0e2febf0a', '23eb4910c21eba22', '3111579f1c9d5f28', '02c7d4beb632b6d6', 'f394ef21baa5d182', '84bf33c20f5b0290', 'b2951af4c1af8c58']; context = [[10, 58], [5, 80], [77, 165], [40, 96], [19, 69], [63, 120], [99, 169], [39, 87], [2, 78], [1, 53], [9, 57], [110, 170], [65, 119], [19, 71], [9, 92], [8, 73]]; loss = 0.013647 low_pass_filter = 0.300
+Epoch 0: | | 24000/? [4:12:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0validation step 24000; scene = ['9e013fd3bd563b6b']; context = [[14, 81]]
+Epoch 0: | | 24009/? [4:12:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 24010; scene = ['4676d54100c9e75c', '01f39fc757f27d8c', 'd9821e4efde3a1a8', '0a33e2c93db81d0d', 'a3c7fde6913f3129', '0ff090d3c369f6c8', 'e8d513561d262165', 'a6715bda26811e65', 'dd357f25857c3f2d', '9ed9d087eb810705', '14053624ed480f07', '48210c911ec4b8a1', '1e6a94b49a5755ae', '4fdf83b0be804bb2', '7357221d2b544d6d', '13139e97ae7bd6db']; context = [[169, 257], [64, 122], [27, 101], [26, 96], [33, 121], [3, 92], [1, 50], [0, 63], [99, 156], [79, 134], [60, 134], [43, 101], [5, 69], [4, 65], [1, 53], [21, 81]]; loss = 0.013839 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 24019/? [4:12:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 24020; scene = ['3a7dcacc482c931f', 'd70de8275a779d95', '621342756f23f5f7', 'b97b452e2887463e', '0611543dfbc64bc2', 'fa17a491863c5475', '3fb230c591c1ba92', 'ae7c80a778d247b0', '523c819329683e4c', 'bed32aee0050abd0', 'b3761fc33d30572a', '43297e0c74c63a14', 'c78a86f98b10dc29', '3806cc2e286a8592', 'd2b31cb64bac8bcb', '8600ffacc9a3d2eb']; context = [[186, 245], [1, 89], [2, 68], [20, 72], [1, 63], [39, 117], [17, 65], [5, 51], [84, 140], [1, 81], [117, 202], [183, 248], [0, 51], [0, 65], [6, 64], [124, 181]]; loss = 0.012819 low_pass_filter = 0.300
+Epoch 0: | | 24029/? [4:12:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 24030; scene = ['70f2a652b2cc3521', '590e0f3a7154f032', '2b2ea8bfd9bb3c2d', '61b12305201e2d10', '50772c6885297d20', '2350bd483fb3d893', '203cf1f1c159a3b8', 'd68713b1988b6c4c', '6a7e622d6800fcd3', 'ac72c990c7e67e81', 'bec7d680d0903430', 'ff6fdd6f7234c395', '1be1019456e06288', '11a2c0c4293ef929', 'c2d5ef83e900091a', '45e5425f05ee618d']; context = [[12, 81], [78, 128], [0, 79], [38, 102], [2, 91], [33, 103], [0, 46], [1, 46], [15, 83], [15, 76], [6, 71], [28, 84], [58, 119], [34, 90], [35, 104], [16, 93]]; loss = 0.015270 low_pass_filter = 0.300
+Epoch 0: | | 24039/? [4:12:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 24040; scene = ['55b7b2536c1b065d', '103050e319898fe8', 'c8665a03817c14ee', 'e879fd1334ce447b', '3e8a5e421d2dd46d', '612162b515851e55', '03c5717890c26e1d', '28f09b5ab9c6c80b', '24ed37b61cfc7bda', '659f56102d414b5f', 'c1a27588c9184422', 'a04c95b03c3262ab', 'b340e019a793df93', '523f07befaf4f580', '99d7f418edf306fc', '172908b84d1a0a91']; context = [[24, 111], [85, 173], [54, 101], [3, 71], [75, 155], [7, 71], [20, 104], [3, 61], [11, 57], [22, 67], [19, 68], [3, 57], [4, 80], [102, 173], [23, 81], [41, 95]]; loss = 0.015563 low_pass_filter = 0.300
+Epoch 0: | | 24049/? [4:12:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 24050; scene = ['40c9b11b7a6808fd', 'bfb5ae7e0ff35145', 'f9a06b44be2312e9', '427fa27ba9d98e00', 'ca42ace03f87cc36', '0676fa0db5cd5dc3', 'f9195769208f3b78', 'ac0c4d05225aea53', '5b96b7d7f025099d', 'cb2e7c525b2a06bb', '3bca29d56784093e', '1bc88fc26a0693d9', '998b0da0bf77d594', '7fd96332695379c4', '1d0b10cbbff05450', '65d23bc2670a9541']; context = [[167, 230], [22, 108], [11, 79], [0, 55], [39, 86], [3, 71], [182, 265], [5, 66], [61, 126], [6, 54], [195, 251], [17, 66], [6, 62], [98, 143], [36, 116], [80, 149]]; loss = 0.016003 low_pass_filter = 0.300
+Epoch 0: | | 24059/? [4:12:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 24060; scene = ['f2b8d7feb823057f', '51c1d0c26b7307b9', 'd7d8e8bc060b6ce1', 'fd2c850e3620104a', 'daf3b5445dda23fd', 'c577c31302675f04', 'e485f3bd0dd46f04', '463338d27813b202', '5b24cc641fd8e56a', '970d8b8f32b657c7', '32a01427f04b7038', '7623ff6b4eaf4cbd', '91188f3f75824ae6', 'e8e115464fbe84ca', 'd324f36129c89fa7', '742400ae02982a58']; context = [[107, 164], [0, 71], [7, 61], [161, 239], [16, 72], [35, 98], [24, 91], [16, 63], [46, 104], [5, 89], [41, 119], [80, 130], [51, 115], [89, 146], [25, 101], [16, 96]]; loss = 0.013803 low_pass_filter = 0.300
+Epoch 0: | | 24069/? [4:12:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 24070; scene = ['a6262cc30cd10451', '64f9ecf88605ee2d', '3d59499ef583eb1f', '35460445a8778406', '09d8a76ab82bd1c8', '0d094a1d96c9c1e5', 'ede5e00730594db7', '867edbda9bb8ef59', '5055bcc3bc958a3f', 'bcfff341d1aff83d', '11323607c1d04845', 'eb453d1c11da72d4', 'a0da76d51b39f2d1', 'ffc9f97d4d05e733', '43c939b11c5fed4a', '6b643ea7fd9a47f2']; context = [[20, 87], [6, 59], [9, 88], [25, 96], [26, 74], [24, 73], [62, 152], [37, 118], [88, 137], [4, 65], [4, 50], [48, 122], [30, 82], [12, 76], [41, 98], [26, 93]]; loss = 0.011889 low_pass_filter = 0.300
+Epoch 0: | | 24079/? [4:12:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.0train step 24080; scene = ['085f19c63c2fd05b', '392f02ff93eed5a7', 'ce0cd3c8e12a97cc', '0d6138b694fccd7f', '9a459290fa63b082', 'd0ba2deef24520ad', '359b204bba293f5d', '6271f6262bfc9913', 'ea090263b598c06b', 'd48470f7af2792bb', '8663a913aa496524', '1cb36e4866699d3c', 'aec1f5de5391a65b', '3fbed29020ac94d0', 'c31f12f994a9e2eb', 'cc876c5d33ba1022']; context = [[13, 69], [54, 134], [0, 70], [19, 65], [12, 64], [9, 75], [9, 76], [0, 68], [8, 59], [16, 102], [39, 107], [12, 59], [116, 198], [142, 205], [184, 238], [61, 148]]; loss = 0.012713 low_pass_filter = 0.300
+Epoch 0: | | 24089/? [4:12:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 24090; scene = ['43ffa708c75c05b3', '0664d28ff022567f', 'c98d6a4285ef869f', '3025fdd5fa3cab26', '2e8eac2d292c98c7', 'f2ddbf700b31250e', '111714659979e957', 'e39308203f26e7f6', 'f51e68c38531b235', 'b77771a97fa8563a', '04df051924af50fa', '74e1b4500a846bff', 'a5d0bd4a37aff1de', '2ee23f8203b533b4', '9d682af42dd7d886', '4d5b55c12c0028dd']; context = [[32, 96], [14, 73], [42, 104], [0, 45], [51, 98], [12, 96], [6, 81], [43, 107], [40, 114], [131, 219], [0, 76], [138, 212], [24, 81], [74, 144], [109, 181], [24, 75]]; loss = 0.013357 low_pass_filter = 0.300
+Epoch 0: | | 24099/? [4:13:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 24100; scene = ['4beafa1c85a14698', 'b8bdfadb8f643024', 'c8e92789f25baec1', '674f584b6f09a890', '9d682af42dd7d886', '8c2bbeac9417065f', '02bb7b7e42bf32cd', '2ee23f8203b533b4', '82173fff18851e0a', '1492f66574082e1c', 'b5dd1aef60dcc6f3', 'a1001a4df99e557a', 'df756e2bb1999ee7', '4d5b55c12c0028dd', '9012dcef99974756', 'f0fb71e87e8675d2']; context = [[0, 78], [7, 67], [68, 154], [7, 73], [179, 229], [5, 71], [5, 76], [49, 120], [5, 75], [0, 62], [67, 153], [5, 78], [0, 54], [26, 78], [13, 74], [3, 59]]; loss = 0.013901 low_pass_filter = 0.300
+Epoch 0: | | 24109/? [4:13:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 24110; scene = ['3ff2ba8a978b3a4b', 'fb704624d63cc49f', '1deefe6ed9a557d1', '9aaffc298f07b0b8', '54cf18698e0c5190', '4d55d34d8efc51cc', 'c87c412d9e7b7c29', '97a07bca9b0c722a', '73219d32ea966c5a', 'c419aefe0887ff6e', 'f06bf7b9ac0129e6', 'ba5133f35ad8c745', '97f589998f7a56ce', '331112aba367bf0d', 'e2b6581f1a1a2fcb', '9c354eaeb1030715']; context = [[6, 82], [32, 122], [18, 65], [14, 75], [13, 69], [14, 73], [17, 65], [5, 77], [31, 103], [0, 68], [5, 72], [104, 181], [53, 130], [29, 76], [170, 249], [22, 68]]; loss = 0.016578 low_pass_filter = 0.300
+Epoch 0: | | 24119/? [4:13:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 24120; scene = ['034e89ee1adfd2bf', 'a740e82dd72e351d', '51c99c6fd15b519a', 'f95e0bbb315250f4', '71cfdc10d5150a3d', '448da348dbaf99c4', '0583810be7bc8bf8', '970350268b239272', '5305f13cbd5351cf', 'a611f23daa8ebe85', 'c40133dd82bfbd0c', '34ffc4903e3a1622', '1f3dae4428a8d9bc', 'e5f6c40c0454e1aa', '3410d65a1b870eb7', 'f98e2b471d6f4ec3']; context = [[32, 86], [11, 80], [0, 56], [200, 268], [35, 98], [21, 86], [63, 120], [37, 123], [18, 69], [13, 83], [43, 113], [139, 187], [1, 47], [73, 121], [7, 56], [21, 94]]; loss = 0.013208 low_pass_filter = 0.300
+Epoch 0: | | 24129/? [4:13:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 24130; scene = ['55e29423b38878b2', '9d13d970ed008381', '48590f55d3a36491', '7f6a3a9c5cb0aa56', '8ce5728c7aae2302', 'd6cbf06455a161e9', 'd3ea0da9ec0d6d1d', 'a8721e585f04c0d9', '29f922dcbbf6e882', 'bd4700646e17b05f', '503c9940f2fbca1e', '2e009384920ac153', '950df50263df8522', 'e7502de958354176', '40006adec86cdcc2', 'b4ee79056f9b7011']; context = [[5, 51], [46, 136], [12, 76], [16, 93], [4, 49], [60, 133], [20, 90], [62, 110], [119, 205], [45, 123], [92, 158], [24, 97], [111, 181], [0, 82], [100, 157], [0, 53]]; loss = 0.018610 low_pass_filter = 0.300
+Epoch 0: | | 24139/? [4:13:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 24140; scene = ['a97842b559fa0582', '07ad3c9e67f8bf95', '2ba941b1e533d50d', '19c5fbe63a18e91a', '0476107845eb67e9', '042e949b55e0c306', 'c49afcdb61153e2a', '2a43ee2f245c1337', '04ce6d1f0f049069', '48b84ebd9166652f', '4364c3b9403ffd96', '3baa46d1f38c6c0c', 'b072d5e75e95e9cd', '801df40f6493d352', 'a2f4df0f4041193e', '438c7699dda81671']; context = [[9, 55], [2, 56], [59, 147], [11, 87], [28, 97], [67, 139], [21, 95], [61, 134], [5, 85], [23, 113], [0, 47], [20, 99], [2, 59], [65, 112], [89, 160], [22, 79]]; loss = 0.019936 low_pass_filter = 0.300
+Epoch 0: | | 24149/? [4:13:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 24150; scene = ['009f5248262f70e0', 'fd6479900daf0e7e', '9ab195e4a4c1e26a', '27d2477442b9d199', '8a969f731adacdfa', '9b31c4820fa50473', 'c4784925d3ddbb33', '7cf0b2b224cdffc9', 'bf2209a2538edc1c', '5a20ace8141ec6a0', '4c5acaa8a03828f0', 'a33adcabd9b8d9b9', '656985d12c9330f5', '7c317155a37b32b1', '6e371f54140af211', '4317f2b8b541e154']; context = [[14, 90], [14, 60], [10, 55], [70, 129], [50, 108], [7, 56], [44, 125], [23, 91], [8, 58], [38, 96], [15, 64], [1, 79], [0, 45], [85, 163], [3, 68], [37, 102]]; loss = 0.013089 low_pass_filter = 0.300
+Epoch 0: | | 24159/? [4:13:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 24160; scene = ['46eb8491db9e7139', 'd1c4a0e0fde61f4b', '78729dc7fc839286', '6856c108142f8615', 'e01fd52543c3109c', '984a54f8dac36945', 'c1680461b2490fa4', 'afbfb11da5517acb', '18ca128750da291c', '970c8ab96a42388c', '1e10b26e9ebd03f3', '7ce63773b0ebc14b', 'cc3fd68dde81b99c', 'cba0a5697eda0832', '4f5b3ac56f06c59f', '15300277e84db888']; context = [[1, 51], [29, 79], [123, 188], [2, 76], [84, 165], [35, 86], [55, 100], [39, 121], [20, 73], [24, 108], [105, 151], [28, 81], [90, 136], [22, 84], [11, 94], [0, 47]]; loss = 0.012578 low_pass_filter = 0.300
+Epoch 0: | | 24169/? [4:13:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 24170; scene = ['a62dd676f56b268b', 'd49101fb6206fae8', '863342d3ddca2cff', '3770f81aa03183d1', '07debc5f949ea45e', '7ce10711c69048e7', '835910667177f2d6', '621c702a0b425aba', '7ba3a703b6f4cb51', 'fc816755540c7f6c', 'b5e400c1a722c2ed', '0bbbbaae12946888', '3b0e8bde647ed81d', 'd5d319bb0bb91ea8', 'b94b0dfc088e9015', 'df6b4cff955d356e']; context = [[9, 90], [117, 187], [39, 91], [100, 159], [2, 60], [16, 75], [143, 206], [111, 180], [11, 65], [16, 96], [6, 56], [4, 83], [22, 83], [4, 85], [25, 87], [48, 104]]; loss = 0.014061 low_pass_filter = 0.300
+Epoch 0: | | 24179/? [4:13:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 24180; scene = ['e78f201e5bfc0742', '1c7e0d9da743e0ff', '10f1c7cda244255d', '96e0dd87c09dd1a8', '1c6c2f0ea25ac8aa', '2035595ebba23bac', '724aa9c8b18efbae', '1e51a9a349931860', 'e2ca642f83d36d8c', '16be374e6f6d5d3d', '4f5e6afb29b301dc', '0b78a91de3da107d', '91d9582339065651', '3120f0ecd82a015e', '104b9ff7916ce898', 'ee792446c602a13f']; context = [[1, 46], [13, 59], [0, 84], [9, 82], [143, 227], [5, 66], [96, 186], [0, 51], [1, 53], [15, 69], [30, 107], [1, 57], [29, 79], [76, 166], [159, 247], [3, 77]]; loss = 0.016708 low_pass_filter = 0.300
+Epoch 0: | | 24189/? [4:14:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 24190; scene = ['03214a8ccb96ec0e', '52f9fa6da69bfaf5', '6019fda73444fae2', '8b9d2f4e94b006f6', 'baf51e7f308c7790', '3d486ee1ff467dd5', '34ad016433539901', 'f844b86541a57a24', '6e65147c92d59d3c', '67c35b36306c68e2', 'cf405ec77c7eba05', '027b06f2adc07dd3', '3c0075229388998e', 'f03ca1e834ef0916', 'f2062a669b6b96da', '0ab90285e36a4be2']; context = [[87, 169], [72, 143], [76, 125], [14, 84], [10, 87], [0, 64], [37, 122], [10, 79], [54, 144], [52, 116], [10, 78], [25, 71], [56, 140], [18, 71], [14, 88], [40, 112]]; loss = 0.017338 low_pass_filter = 0.300
+Epoch 0: | | 24199/? [4:14:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 24200; scene = ['1b65116c3c5c1368', 'edc95bf3d8125af5', 'c6d952dc739b9928', '366caad30aeb35c3', '0517f83a86e7058e', 'ef557dc83952824e', '57ea9d333a45531f', 'eee620ad46daec61', 'b94ad0caa8ff47bc', 'fa88be2d4c570002', '7244471b73942d20', '612e01c3b322c6c9', '2f0247e8c61a0a1e', '88c2baa2c5c3894b', '3dc3fe3e71b87c3f', '70946b67580941ca']; context = [[41, 99], [66, 153], [0, 85], [2, 58], [10, 69], [14, 79], [27, 92], [147, 206], [9, 88], [114, 163], [62, 115], [10, 84], [181, 238], [3, 70], [9, 75], [43, 109]]; loss = 0.014513 low_pass_filter = 0.300
+Epoch 0: | | 24209/? [4:14:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 24210; scene = ['0fc7eabb78854784', '560cd587d67521e0', 'eabc0fbae64a3713', '1d617d88d775e289', '23d3cb34a508be1d', '2e7ba59ef9fc481e', 'c4ad60212b208842', 'c8655db71062b8e9', 'd0254d0a58aa37af', '0f7660ecfb5d694d', 'e237c0653e42ecbf', 'c029c78ef50cf73b', '76f7fdfccb16a0a6', 'dd4ef76acb2485db', '859dc6595c9941d4', 'c00455dcc165a68f']; context = [[12, 78], [14, 85], [2, 47], [20, 87], [99, 158], [21, 75], [3, 61], [135, 202], [3, 80], [42, 123], [73, 130], [34, 106], [18, 92], [45, 129], [25, 114], [15, 103]]; loss = 0.013462 low_pass_filter = 0.300
+Epoch 0: | | 24219/? [4:14:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 24220; scene = ['cfe5980858473caa', '6dda9b3c334499ee', 'e661e7c4043197b4', '76f0af17017975ef', '90eb0b4f9eaca4b4', '57bd46c077290a52', '6138a5a6ce20fc7c', '0150a2343dbfb3ba', 'c66471f20d5109ac', 'd6fff08f4c42c708', '3a5ab862f3c3d360', '2eb5e99df3004bfd', '86d35668ab8b30b4', 'a9c47c6038013d7c', '3cffbbab0d4fd5f2', '453c9df8e4a96816']; context = [[166, 241], [107, 165], [46, 124], [6, 65], [34, 92], [145, 200], [7, 55], [11, 68], [0, 61], [1, 79], [15, 73], [65, 126], [34, 111], [36, 116], [119, 187], [76, 138]]; loss = 0.013758 low_pass_filter = 0.300
+Epoch 0: | | 24229/? [4:14:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 24230; scene = ['4bdef6c0c3e06ae5', '0c3ad0e885ed9a31', 'cfc65d74b27399f6', 'a8a9227f5d789eb5', '7cbb764b7aa8a1d4', '0764e2aef8878016', 'b04c0ee3b1119c4d', '1dab88f5a54ee41a', '1881e13a88e87fc2', 'ec44c38dfa1244f4', '893115dd43a04a27', '45c8efa45012ba79', '82d3d6fc3f681f9d', '4c212add50c782fc', '7df9941d67654aac', 'b509b83544d44451']; context = [[6, 88], [60, 146], [59, 119], [78, 134], [82, 165], [12, 89], [37, 100], [14, 75], [154, 205], [78, 144], [17, 94], [40, 126], [124, 182], [134, 209], [143, 191], [60, 110]]; loss = 0.014183 low_pass_filter = 0.300
+Epoch 0: | | 24239/? [4:14:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 24240; scene = ['7629b9492036f956', '091c8797418a4568', '7fec6b8b738c23ee', '481bc28cf74dc03a', '9ed19d5506da8047', '3e35d64c3de4d110', 'd850754e786fd50a', '3f882fe126eb3f9f', '772ee7030b08809c', 'bb67883d8fab43fb', 'cc867fd7d43a2b01', 'b04745d7ec1a45ae', '6542abd58a761087', 'd4917ad3a125b0c1', 'e62c3bffb963e533', 'bde75e6c5c892020']; context = [[12, 64], [2, 87], [126, 195], [58, 139], [46, 131], [134, 194], [77, 160], [5, 95], [7, 96], [53, 140], [29, 103], [9, 62], [104, 191], [12, 66], [1, 77], [137, 198]]; loss = 0.013695 low_pass_filter = 0.300
+Epoch 0: | | 24249/? [4:14:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 24250; scene = ['f1a0acc23bcbc5d9', '96f5be1050d016ad', 'fb9098aabf4c2711', 'fb1de25d6e5e68e5', '43d15b8037853a27', 'e7a80a3722babaf6', '18142d2a72ad8925', 'de1f080af877df76', 'b88f894e76cd5f18', '6093fe2362714108', '311590a1d4eb0250', 'cc8e19c8ad1846f4', 'e1e317857deb7afc', '4ab0fc22f4d9bd6b', 'db1f52253a43d24a', '992f739dba95f93a']; context = [[18, 88], [3, 68], [14, 64], [58, 125], [12, 73], [95, 144], [3, 92], [50, 100], [30, 79], [49, 111], [114, 193], [54, 107], [18, 85], [0, 49], [14, 70], [1, 54]]; loss = 0.015783 low_pass_filter = 0.300
+Epoch 0: | | 24259/? [4:14:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 24260; scene = ['0be127358da454de', '477f44d4c838a6eb', '3eae572207e849fe', 'bc7cc635b7ab5cb5', '4c621e01ec8ac45a', '94034faf0ea1937a', '6ce00eee57d60700', 'ab1d835889d2fabe', '7b24fe7a90ca9f59', '11dbf87883d315f7', '47466fc52fe77e63', 'd62f799d7082989a', '1a208617ed6c2348', 'f6059815a2a1e912', '06d592ca278c60ef', 'a161a931396aa0d0']; context = [[129, 214], [2, 47], [189, 272], [0, 59], [3, 90], [158, 218], [66, 152], [1, 75], [11, 95], [37, 94], [4, 86], [0, 84], [18, 98], [111, 183], [38, 111], [42, 131]]; loss = 0.015913 low_pass_filter = 0.300
+Epoch 0: | | 24269/? [4:14:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 24270; scene = ['49dc2074af110ab5', '95d145a334e9eeb4', '3cbf6ed1fc2b49d9', '1565693bd0ba197d', 'b5de5071d7ea455f', '1fc78c3676411b0e', '1fa3fcadeddb75cf', '9b93f3f8028382b6', 'efe92f77ccb0db4e', 'c356f39d4a9b5f4f', 'bc04066f8d046242', '8401d56bc98ffd44', 'c5c83a84fbb3fda4', '75d6aea31dbd30dc', 'f8ab9c79387e4a66', '3b6a998f7c994828']; context = [[36, 113], [5, 67], [78, 165], [62, 125], [54, 118], [3, 50], [211, 270], [59, 137], [6, 88], [60, 118], [18, 74], [33, 93], [65, 150], [73, 141], [52, 100], [71, 156]]; loss = 0.017304 low_pass_filter = 0.300
+Epoch 0: | | 24279/? [4:14:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 24280; scene = ['be960783bb757699', 'c908a212ce4dabba', 'a70857b8984c9071', '1402ebed2813db03', 'a26ce2d066354ef8', '6992c59cc9057772', '7c240633fd3203b5', '4397f3a11cce932c', 'e1dfb87d2913b279', '072e09312e1c44b8', '487faab77acb94da', 'bfd12d243b461f6d', '8e1f9a8acf80e621', '37254fd595f527cb', '7e1a90cec7a329d5', '339fe58908bda753']; context = [[74, 138], [4, 89], [8, 66], [21, 91], [1, 65], [16, 99], [6, 75], [157, 205], [104, 167], [6, 66], [101, 177], [152, 238], [62, 148], [107, 155], [60, 139], [22, 112]]; loss = 0.015600 low_pass_filter = 0.300
+Epoch 0: | | 24289/? [4:15:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 24290; scene = ['a3dcd56be6efe531', '88c699e2a02f443f', '7a3c692a84dcff3b', '76e3767736ea1fcb', '6903e917c5bf1c37', '44020f34ef2803bf', '893631aa1120f800', '7a91beed3bf01666', '9508bbadb133599f', 'dc39348fdad696f3', 'dfce5eefef18f037', '05caea054b89afc9', '07c6818a3a353dd8', 'bc3e84661532f610', '0a8e2e73b0a0ddeb', '8a18a357d2f58181']; context = [[2, 75], [5, 71], [52, 113], [32, 91], [2, 60], [4, 63], [4, 53], [18, 63], [30, 93], [9, 82], [9, 99], [46, 124], [118, 202], [111, 161], [51, 99], [4, 51]]; loss = 0.014795 low_pass_filter = 0.300
+Epoch 0: | | 24299/? [4:15:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 24300; scene = ['47c95716c4f414cb', '30e603963529873b', '3b6a61c0e717ca27', 'f21702cfe6b2846e', '4c4372829996aaea', 'af86063cb2beb55e', '651dd13b1dab9b01', '821c671b230a1ed7', '955559418313af15', '1162abd36a71567b', '2f954072e9834dc2', '8affa132fa270700', 'de832a9e5c890869', '4dfd54f3098821dd', '251366dc002bf6c3', 'fa6335a92d7faa48']; context = [[14, 102], [3, 62], [5, 89], [22, 75], [16, 73], [15, 104], [17, 81], [35, 100], [132, 180], [51, 138], [8, 73], [5, 66], [0, 77], [2, 50], [39, 103], [33, 94]]; loss = 0.012905 low_pass_filter = 0.300
+Epoch 0: | | 24309/? [4:15:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 24310; scene = ['f1021f385c05e35e', '2f6c751ae35cf1de', '83ed9d8ed9845e71', '48a3ce4bd42f000d', '11cee9170b52e429', 'dafad9b775cc6482', '15746d7d3e0787f7', 'fc91bb2b1617d9d9', '7e4d53b14c895961', 'fb4a09523f758428', '290cc49e093d9a76', '86671c7af07c1160', '8b8ffe6044a00d10', '8d96391130cd846b', '5079de35fcd79b96', '69c75008d6812d8c']; context = [[101, 184], [1, 68], [26, 87], [20, 66], [87, 151], [12, 81], [20, 72], [9, 93], [16, 64], [20, 105], [18, 77], [129, 210], [23, 92], [44, 89], [60, 137], [1, 51]]; loss = 0.013354 low_pass_filter = 0.300
+Epoch 0: | | 24319/? [4:15:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 24320; scene = ['da6e5d698fabdccf', '27530cfe16f58f14', '13fc8c102970a593', 'b3d2c1f427c25de2', 'ddc84ff59a0d299f', 'e8d51f47a4c12d46', '675b13a496c3fdcd', '39ca9c6938c0b2d0', '1b5f1027ea78e6ed', 'd998e9cea6fd860d', '409bccb490f0a094', '68785d590f5ecc73', '7e50e4e8c212d948', '2ad24b5dd5badb67', '9abc9eb2d8d58140', '67b559f9126c60be']; context = [[97, 150], [3, 60], [9, 58], [75, 135], [38, 88], [54, 129], [22, 71], [4, 60], [21, 74], [14, 90], [21, 77], [2, 78], [78, 157], [27, 98], [2, 74], [0, 85]]; loss = 0.013801 low_pass_filter = 0.300
+Epoch 0: | | 24329/? [4:15:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 24330; scene = ['6a386b648de957c1', '64392b53b5d63382', 'be53ba64cd342454', 'e88ae1da746ce1e1', 'c667e1df5f01ead9', '34eab524a149616b', '124c718d543912d4', '13729e96ff2f345a', '1e4c7b6e4016e7f2', 'd7297cc7a2f3e7e0', 'f5c3d0dba0b71ff6', 'beb3094ce331d774', 'bc514648b0938a1a', '6de65618fef3a792', 'b82d41c62606a4ef', '0cb5d3ad6b3a52b8']; context = [[145, 229], [1, 64], [72, 134], [67, 139], [1, 63], [2, 68], [122, 193], [34, 82], [11, 69], [2, 49], [8, 68], [58, 142], [39, 116], [6, 56], [6, 61], [202, 249]]; loss = 0.016750 low_pass_filter = 0.300
+Epoch 0: | | 24339/? [4:15:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 24340; scene = ['856bb1da2f10d78c', 'acef2a117f896650', 'ade5d1325a93bcd0', 'c837254d87560e25', '2c69823bf64bcfa1', 'ecc8438134a2638d', '399a3e5cb7ce3429', '2ae25c1ef4ee35e7', 'e0458dafcf2e0e90', '22883477ff44a8d8', '39affc04f4fec373', '3f99cb9bcafde8fe', 'af837aff6c95547d', '754cd13d07884b11', 'aa9826ffca85a2c7', '1f1fb2d3701b0b66']; context = [[3, 66], [1, 59], [88, 178], [85, 162], [34, 113], [5, 84], [100, 151], [3, 88], [14, 100], [38, 107], [0, 57], [156, 215], [3, 50], [5, 70], [12, 78], [79, 149]]; loss = 0.015059 low_pass_filter = 0.300
+Epoch 0: | | 24349/? [4:15:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 24350; scene = ['2b634ad643be3bb4', '173c3c8521ffe556', '0471a51233a96adf', '91bd4d5858c4f7da', '9958041bb8a26eb4', 'b45aaf0961467ac7', '83d103672889a1b3', 'b7b53829ba5730cc', 'f21a7befa707b6bc', 'd7ac8e9cbef709c3', '87dcad4e125ff354', '613c8ac8e1030890', '3e5f42bd01cbd213', '8e41d984995f25c1', 'd7699c99c299376f', 'e1ea6a2fc9b462ca']; context = [[115, 169], [8, 78], [4, 69], [71, 160], [20, 83], [97, 168], [78, 153], [23, 84], [28, 80], [3, 48], [114, 204], [6, 90], [21, 100], [11, 87], [59, 112], [8, 75]]; loss = 0.012662 low_pass_filter = 0.300
+Epoch 0: | | 24359/? [4:15:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 24360; scene = ['06517d6ba13f0022', '85d8b40beee1e26c', '7db355afc543bbc7', 'b7293cc97193f822', '3afea6460cfb4f15', 'dfce15282bf2058f', '7bb0a3af8524ed86', '441edf6229a74d10', '1d5b1fd9addc5397', '8f928217e91256c3', '7022a0fb6e6386cd', '79f684bfc7962b22', 'b9e60d9c662753fd', 'c23af0985d36ffcc', 'f7f6eca1f49f8580', '092892ba7b6943e0']; context = [[26, 77], [144, 225], [12, 63], [8, 71], [11, 57], [54, 106], [0, 64], [58, 129], [1, 47], [0, 48], [18, 86], [6, 83], [199, 267], [4, 60], [45, 122], [36, 83]]; loss = 0.016898 low_pass_filter = 0.300
+Epoch 0: | | 24369/? [4:15:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 24370; scene = ['cc4d298f4c09ac47', '9efccb0c776afbaa', '728c5f0905445ad8', '4e6ba49f61d7c52a', '8b892aa99ab635fa', 'cc1a4a14236ea89a', 'e2b10586530728fd', '392eab2c84c17409', 'afd1f0b4fba0c645', 'd6ac297a4d15b7b0', '120933c886936b7b', 'ebefa67b99601839', '4aa75a27462c5bcf', 'a35fcfd5ca571296', 'ccb4fb4ff1862f97', '14b72a12818f15cb']; context = [[3, 69], [3, 48], [46, 126], [11, 69], [64, 116], [6, 67], [24, 108], [62, 117], [150, 232], [23, 112], [25, 76], [58, 120], [0, 55], [1, 66], [46, 119], [0, 71]]; loss = 0.014423 low_pass_filter = 0.300
+Epoch 0: | | 24379/? [4:15:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 24380; scene = ['d9afbf73118bb8a1', '9777aa81d5ddf05d', '7fbc6cf6fe65b7ff', 'ca543cd72517425f', '7c4d7ed47ae232ed', '11d1dd8049ca694b', '8efec6de00a7d511', 'ca301930c8f2ed36', '06fccc7d660b7c54', '8272b1253d3ef5bc', 'cf7393cafef6d8fd', '2bf965e737fdc0e3', 'd7b62d011ef0b985', 'd9ac4f9b23c733ad', '3cd80507eb6513dc', 'f6daf6bdc7a87bb3']; context = [[5, 90], [14, 97], [57, 131], [0, 65], [76, 165], [25, 99], [22, 69], [19, 69], [16, 72], [177, 228], [10, 97], [30, 112], [45, 123], [79, 163], [20, 92], [60, 113]]; loss = 0.016514 low_pass_filter = 0.300
+Epoch 0: | | 24389/? [4:16:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 24390; scene = ['97d12f6d996bf73c', '781ff1db42bfc2b0', '1636f5cec8379436', 'ea560425df1b8298', '9f6fffe5f2daf705', 'e0c20fd874266e33', 'f4ad9947616479b0', 'dd34caafd73ddd5a', '72847f7ce9b2fee6', 'b4c1f38589e43fdf', 'ce072a0a0665a1f8', 'cb2b368e1872f0fb', 'a4f278a88650c331', '22edf9279359ca32', '61cdbe0f820614ee', 'd23b108e840951a1']; context = [[79, 136], [51, 136], [4, 61], [1, 69], [11, 66], [8, 94], [2, 51], [6, 69], [49, 94], [87, 139], [33, 87], [3, 92], [4, 92], [7, 95], [76, 147], [163, 214]]; loss = 0.021029 low_pass_filter = 0.300
+Epoch 0: | | 24399/? [4:16:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 24400; scene = ['6ac14f7de01b3021', 'e1eaaeb084992db2', 'dca4d9700ae80a91', '88b43de931cc94ac', 'fad05546fba5dace', 'dd409b33f3f5c29b', 'bfdc7f6d1dccc275', '257f25c508646b70', '1bdb1a3b250b814b', 'a97b679e1f2efc99', '52060a4cb66b23b1', 'fff5c6b9222f5afe', 'ccefd472a28ef3be', 'b98afba36eadc568', 'bebce31b07685d6e', '1f99447fdfdf67bc']; context = [[4, 62], [21, 111], [3, 93], [87, 169], [0, 49], [8, 69], [176, 247], [1, 46], [1, 54], [22, 82], [5, 85], [82, 171], [0, 45], [143, 200], [0, 48], [0, 73]]; loss = 0.013198 low_pass_filter = 0.300
+Epoch 0: | | 24409/? [4:16:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 24410; scene = ['39c37c7704959e01', 'af06c5b083c836cc', '1680e75e59c5ecc6', '7b597f4b7c5b9255', 'cc093a1892852766', 'c449bdb9af2b8c2e', 'c83bef82111d4aad', 'b54290e0379129de', '861f7d16b7283846', '35f1cf907195fd7e', '8d60ea5b478d4f97', '630af2661c927199', '0615ffb1a55fd0c2', 'e61d47ab91b1a5d3', '8f54c518ad267715', '7808917f0ae566fe']; context = [[19, 84], [57, 105], [4, 61], [4, 67], [3, 82], [32, 101], [26, 76], [1, 47], [80, 125], [7, 95], [128, 214], [41, 105], [12, 96], [46, 131], [55, 133], [12, 97]]; loss = 0.015633 low_pass_filter = 0.300
+Epoch 0: | | 24419/? [4:16:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 24420; scene = ['fe9c9efa162243af', 'de0b5f163df22bac', '0faf6d493edc4914', '8b6fc7cfa0e1de13', '2c2893932017a26b', '3333768ade9bae8f', 'e019f256c86c3ffc', '835fcebe0e9a911d', '279f2ecc43905a1a', '9ce015e049e794f1', '5926076e9b853df7', '479525e290f36f88', '467696d6d2c82ddd', '74db020ed3bc9291', '42de132815e6bfcd', '1ea7ac61babb3c39']; context = [[30, 120], [0, 84], [42, 128], [99, 149], [140, 187], [40, 130], [47, 111], [50, 96], [51, 118], [48, 128], [39, 116], [60, 118], [1, 64], [12, 87], [8, 71], [97, 185]]; loss = 0.015219 low_pass_filter = 0.300
+Epoch 0: | | 24429/? [4:16:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 24430; scene = ['b328b672fa646e84', '91047c3d98f1ad63', '78ee44257f9539ef', '285ea7b514670328', '9430c9da009b1ee5', '4f4da706cafe1656', '0fe21abff5401005', '721994e114f4ec69', 'd1df92cb4831bf68', '3ce190b5df7d8af7', '7575c3ff61344cf7', '6f734cb7648a8dc0', '8fe0153671265cd8', '2bf6dcb1dfce1642', 'c62d89b4898ca134', '8af1a69737e9195c']; context = [[41, 107], [0, 69], [4, 64], [73, 125], [16, 83], [22, 75], [9, 64], [88, 145], [5, 62], [29, 113], [39, 87], [67, 141], [1, 56], [68, 153], [4, 69], [139, 194]]; loss = 0.015210 low_pass_filter = 0.300
+Epoch 0: | | 24439/? [4:16:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 24440; scene = ['1eb3ba328532848b', 'dccbc798209018fd', 'bdac18a822bea59a', '57803617ea5ab7a4', '18fe8e9b2f642d70', '6abacaac7e196cfd', 'ffc8fc73703a7801', 'b97e6f6e3fae845c', '0d2f9959a65cc24a', 'f5713d231e3431b6', 'd1b84c199cb87a50', 'cd4b6bddafd166e5', 'f493ee914a673ff5', '0294b1cb70478a95', '312ed3299485b994', '4e234250febdd495']; context = [[139, 222], [44, 117], [41, 118], [27, 93], [6, 51], [9, 61], [29, 93], [6, 61], [1, 73], [83, 166], [1, 50], [134, 224], [3, 52], [62, 116], [1, 68], [1, 62]]; loss = 0.017112 low_pass_filter = 0.300
+Epoch 0: | | 24449/? [4:16:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 24450; scene = ['a67c4edb735cc1b8', '9b5af8dcc2af29a9', '48fc4e22319b4fde', 'b66e0f230ed3f06c', 'ecf309ffadd46a42', 'e8d0ff0528e08b63', '056a4a7e82bd4a08', '74d59500412b3a6d', '203ebd4a7ecd7351', '4b330b71b8aea5f0', '7972dc0925069bf7', '8feb9f00718a9ec1', '1bc4f80907befd27', '23342285a08b05f9', '1a63fc7a0888336b', 'affaaa5bb0d68796']; context = [[6, 56], [1, 63], [101, 159], [97, 144], [75, 131], [5, 77], [88, 173], [4, 76], [49, 117], [63, 120], [0, 56], [56, 124], [184, 246], [75, 121], [174, 248], [17, 64]]; loss = 0.017072 low_pass_filter = 0.300
+Epoch 0: | | 24459/? [4:16:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 24460; scene = ['08527853c5cf3f4d', '59ee32c2dccc3dba', '0ea8fcc06a4a9fcf', 'e2ce81d901cdd6c7', '4d90373b73dfd8b4', '6b076ff0fa76674a', 'f5e2894f19b60dc8', '7f6642220b54f702', '5851772147fe79f3', 'c0ab759d761f2868', '3fcac0f29c94b5e6', 'c87ed13477475e4a', '1dddf8460c0c49cb', '524fe76ae272d2ef', '1c689592d9224465', '91a10f355844279c']; context = [[4, 49], [137, 191], [2, 69], [3, 79], [5, 73], [81, 159], [166, 230], [10, 99], [8, 54], [0, 69], [122, 182], [0, 45], [38, 87], [0, 75], [0, 51], [30, 87]]; loss = 0.013101 low_pass_filter = 0.300
+Epoch 0: | | 24469/? [4:16:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 24470; scene = ['3fe81e368cf1011e', '7264da2e5617c4da', 'c377c3e9c9d3a658', '01d70424679d81b4', '9e40d72fc377071e', 'ee09e1909e6d0b36', '94f7b5c957bc74fd', 'ed98faf79d120ebc', '0eb418885d5c704f', 'cbbe5299030ed27d', '202890a812df9e8f', 'ecb259c1db50ec9b', '34ecd93b461c01fe', '5b9f289a8e65563f', '0641f7c79d7f017d', '074375474c3e1621']; context = [[43, 108], [1, 78], [1, 88], [2, 47], [1, 62], [91, 141], [79, 135], [15, 92], [108, 189], [3, 78], [25, 72], [70, 153], [48, 131], [108, 157], [10, 55], [72, 156]]; loss = 0.013026 low_pass_filter = 0.300
+Epoch 0: | | 24479/? [4:17:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 24480; scene = ['a1990e1a1aca5454', '483642b8e30a8860', 'a75b353e5ab44f07', '6545f7e52e14be0f', '5bddd89ef33f5bfe', '1710ca2ef5baa103', 'b525fcb10bc9f521', '8b6ef87f30a948f0', '2ddca670dbf7e68b', '7ad1956f99b8cf25', '7f332d591ca1980e', '74276916559f4ca9', 'f5c74a79946b8cca', '95da46cc74bd865f', '21b43052b04845cb', 'a57c3d7a98497d6d']; context = [[7, 52], [0, 48], [6, 53], [0, 63], [2, 57], [18, 64], [54, 110], [81, 157], [7, 53], [166, 223], [6, 79], [5, 79], [1, 61], [24, 82], [0, 53], [73, 146]]; loss = 0.014783 low_pass_filter = 0.300
+Epoch 0: | | 24489/? [4:17:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 24490; scene = ['4fb170171642a5f1', '626d66e9d35de7fe', '622f5f93cf28478a', '57d4abf8cf39f419', 'd0662223d8d2ee98', '80f81a92601ecc6e', '315ad6581990df7e', 'ed12e5748cb46dce', '0b4b937b1199330c', '1c75685f0307f79d', 'b13f6387c59e38a5', 'ba823bca7db295c1', 'dcbea8d317442825', 'a39c6e8f3d9a2a00', 'a7c1244797fc53ad', 'bccb2d322b8bd512']; context = [[31, 121], [49, 112], [0, 47], [9, 76], [16, 62], [154, 210], [83, 134], [39, 95], [37, 117], [63, 116], [0, 79], [37, 85], [0, 46], [76, 125], [9, 66], [34, 93]]; loss = 0.014446 low_pass_filter = 0.300
+Epoch 0: | | 24499/? [4:17:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 24500; scene = ['e4d69e87d73f574c', '1fd04b3b726fc68a', '86f3bbf2864c65f0', '2ae7890bd8231e93', 'b569a2f2d95abd90', 'a017de2545c81e26', '8fabc39ad677dece', '806af4d2d935738b', '63636dcaf9b864e6', 'd78079ff1a0f045d', '2abe932fd9d76528', 'b551bb88ffea8c1d', '300e96e5c068a90f', 'fe4e3ea09f7354a3', '560319076127d040', '6aa7164b09ff6ccb']; context = [[35, 93], [49, 94], [2, 72], [51, 130], [138, 214], [12, 102], [78, 156], [50, 124], [4, 85], [88, 142], [8, 81], [50, 99], [127, 206], [16, 81], [2, 63], [11, 83]]; loss = 0.013320 low_pass_filter = 0.300
+Epoch 0: | | 24509/? [4:17:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 24510; scene = ['bddc070df15c5bd0', '2075f9a34df7009f', '0d769b8f95716ff4', '506c3c6a37df296b', 'bea7a7d7bc99d87f', 'a04482e878287d98', 'c35009e7f3d182a3', '0d6296f944a5527f', '35c3896f8118d911', 'a112490f76c588e1', '87bcd8ec1a54ec5b', 'b333ae137d9b364d', '111edff73abfa215', 'cd758d9a770e3004', '2645536c2312c35a', '151e0e08ed38e7ea']; context = [[9, 56], [0, 81], [10, 57], [140, 203], [24, 105], [44, 105], [196, 248], [4, 53], [31, 105], [54, 120], [17, 96], [89, 150], [25, 90], [18, 78], [28, 105], [71, 116]]; loss = 0.013531 low_pass_filter = 0.300
+Epoch 0: | | 24519/? [4:17:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 24520; scene = ['7a8435edc64d3caf', '9922a4813abfef5d', '5eeab6d3c4c70703', '4b15f667a6a78b85', '9aefa60e71537b35', 'f5bd07390d8ba2fd', '5505150f6f3c1b41', '46f0e94c1dbb3257', 'ab7e206549255e0d', '55eef86e415f4f03', '87153716bf3914a2', '34890c370bbc5c04', '9211c25e50b2fed4', 'ff4ac4733ea81002', 'd8f644b537799c00', '4f8f62dc3221760a']; context = [[41, 101], [46, 100], [6, 64], [85, 136], [0, 46], [13, 69], [73, 158], [111, 161], [16, 105], [0, 46], [23, 103], [10, 85], [8, 73], [141, 195], [4, 69], [104, 173]]; loss = 0.014417 low_pass_filter = 0.300
+Epoch 0: | | 24529/? [4:17:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 24530; scene = ['7b2c118f021e6902', '7273382ad589d7ac', '9f92d7e79d4a35bb', '13b6a7b0131f5638', 'b382af5f342061fa', '3cac75e60965dc6e', 'b24e1ede1a96a6a7', '37df939509cbb013', 'e9c131103e70cb7f', '6d957940e86de915', 'd7b9f1dac0249ebf', '03036efc7c7ae3b5', '3effc4406f9ddaeb', '1c1171aa48cd3d30', '3f82be8d7f99dce1', 'a3bc042b68a67193']; context = [[12, 81], [11, 77], [109, 181], [1, 46], [1, 69], [2, 77], [15, 98], [36, 98], [40, 94], [2, 80], [15, 78], [169, 246], [1, 49], [102, 172], [3, 59], [17, 83]]; loss = 0.014129 low_pass_filter = 0.300
+Epoch 0: | | 24539/? [4:17:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 24540; scene = ['87fd521518dc4cb6', 'fca51d820d274436', '1cec8f858934dbcf', '3b979b9dac2097a2', '547a0d26a46621dc', '95a3ab26d547d0e2', 'c0d6891369eefbf3', '9f4503d0d8742970', '874678686325796e', 'e228336cfbfcb179', 'c260842ca527acec', 'cc599b021804a5b3', '282c34d21fc592cc', 'ca2a9b1a67bf86d1', 'ff606885fba519dc', 'ed4f2169411b4c39']; context = [[56, 134], [2, 63], [30, 111], [62, 131], [2, 50], [22, 67], [12, 92], [127, 172], [13, 84], [91, 144], [3, 70], [17, 67], [10, 58], [28, 105], [201, 249], [166, 252]]; loss = 0.015087 low_pass_filter = 0.300
+Epoch 0: | | 24549/? [4:17:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 24550; scene = ['3582b54a8e7095ed', '1f67d024b6212444', 'b9c4217d3432b245', '57fe7c02c5ec9bbb', '157b0fbe05d0d789', 'b72b05be77fb6594', '31f36e0248411ff3', '9789c9bca500f60d', 'fffb42151ab2e284', 'ae0fe2e4c42b40b4', 'ecb34e3502829299', 'ec281daa9b16da44', 'dd5cc7120648a275', '07db10e08f44575c', '1909a0ae859eadae', '026b2018d1a368b4']; context = [[8, 74], [19, 66], [11, 88], [109, 188], [62, 127], [7, 77], [4, 91], [64, 117], [13, 81], [14, 91], [108, 155], [37, 84], [8, 65], [157, 207], [25, 83], [7, 81]]; loss = 0.012662 low_pass_filter = 0.300
+Epoch 0: | | 24559/? [4:17:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 24560; scene = ['d9e16fde003687b8', 'ab3129359d7c89ef', '4c132551c14e0029', 'd8580e9d72ac981f', 'dfec9688b2ba99ea', '8ba8dc3c494ca369', 'dd4843164414a098', '0df5a048d09e63f3', '620c929fd4a8bd4e', 'ff88889c88690944', '75bd2919280fa04f', '08f62581d3c0cd3b', '5a1c3e7d540db485', 'bfaf41c1cab8e2ed', 'ca3b69314475eaba', '7ca92f7455e150c5']; context = [[50, 101], [162, 208], [51, 123], [129, 183], [0, 75], [44, 107], [61, 128], [33, 91], [18, 95], [155, 242], [5, 92], [100, 147], [10, 75], [13, 97], [170, 221], [6, 80]]; loss = 0.020089 low_pass_filter = 0.300
+Epoch 0: | | 24569/? [4:17:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 24570; scene = ['0d3a9dcb9edc7e49', 'f4dca39287187d39', '6c35eb26f6605ff6', 'ffd9e246389da5b0', '336e6ce8417c1385', '6ca66a506af6977d', '8f36773c9aa1a91d', '2046b9ba5c527c28', 'b58fdee123aa3eed', 'e3902b3d16d06f7c', '7e071e8a7d3b9bea', 'af0fb83cac474b26', 'bc355f727894d2cd', '7677d123d3d91a8b', '4e25b5dc9ebfa114', 'bb9246f8d402bf8c']; context = [[89, 140], [19, 108], [14, 84], [6, 72], [4, 67], [39, 114], [71, 151], [63, 124], [1, 56], [127, 180], [38, 112], [35, 123], [12, 78], [8, 78], [22, 105], [5, 75]]; loss = 0.014797 low_pass_filter = 0.300
+Epoch 0: | | 24579/? [4:18:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 24580; scene = ['d28dd035c45d7b06', '5cd1fe08f13f6f80', '57c4350a67896dd1', 'e56faa3956de9664', '86c2513b349c1bfa', '315d75f711d441e7', 'c7df75f0a22b9980', '58dd91617d378543', '6229b68244a2eed7', 'fa05467acc6cda7f', '68b1a0f708d4bb02', 'aeba216f34aff2cf', '33e6c23376e9f31f', '6a8fc61e13dc1a4a', 'd91d1e61f45fa172', '495efa23dadbe4a0']; context = [[3, 88], [13, 97], [19, 98], [102, 147], [26, 103], [79, 127], [5, 53], [5, 85], [13, 98], [9, 70], [9, 64], [8, 61], [137, 184], [138, 185], [12, 61], [31, 81]]; loss = 0.012465 low_pass_filter = 0.300
+Epoch 0: | | 24589/? [4:18:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 24590; scene = ['c79690fd51dadf69', 'ebd9fde91bf2b8c7', '111b2ed00dcc0aba', 'dda7e6214abfbed0', '4cb3c6c476fa6a49', '5e4a1b4838a1231a', '1d88e3c2c8c1665e', '8a33699a05078861', 'cc1eef8fce84a218', 'a09f165ba593ca2b', '35ad26422317964f', '3eb310e32a94a792', 'dd464449c0b687c9', 'fe384d84d04baec0', 'df0bb97a02a72ba8', 'ed0246926d1a5f8b']; context = [[49, 132], [25, 95], [3, 57], [3, 91], [20, 65], [20, 91], [17, 91], [14, 104], [108, 172], [72, 161], [25, 70], [18, 79], [86, 131], [62, 132], [113, 167], [148, 198]]; loss = 0.014438 low_pass_filter = 0.300
+Epoch 0: | | 24599/? [4:18:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 24600; scene = ['9c7b21689855c57a', 'b25f2eb5c85716ad', 'c14419e33d30959c', 'a2a595d1841e657b', 'dc9477687895a68d', '93caea1086d5ef13', '108cbb0c94c3557e', '156d5114133bc02a', '51817eaa8265bc7f', '4bd55ac28c876fce', 'eca76e8aa99db6df', 'b59b91f89bea682e', '04c44b1b8b0c6efa', 'ef9aa38474d77912', '7ce0211de76d1a1a', 'ae267c0eaad7d286']; context = [[54, 137], [77, 125], [2, 72], [0, 45], [23, 85], [118, 187], [19, 97], [0, 60], [24, 100], [14, 94], [102, 153], [5, 55], [88, 142], [100, 190], [9, 57], [133, 212]]; loss = 0.015197 low_pass_filter = 0.300
+Epoch 0: | | 24609/? [4:18:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 24610; scene = ['9e8db62a9b3cbd5e', '755ac8f9f91414a5', '86d6705131e38b99', '5f1c50e26de61455', 'e26f0a1b140b74ca', 'bba891ea827e88a2', 'bc784a299b459e92', 'cbcf05baba7c9624', 'c580d7b52ffa2fb7', '3155b05b96e2111e', 'd871351a906fd09b', '3230bf3dc93cf6d1', '027bdc7b1094bf0b', '15b51674dfe598d4', '364742fcd123c95e', 'b705c2109dae92e1']; context = [[118, 188], [20, 70], [178, 244], [24, 91], [14, 77], [86, 133], [3, 60], [121, 206], [83, 143], [51, 106], [20, 102], [51, 135], [63, 141], [67, 154], [25, 90], [26, 115]]; loss = 0.014853 low_pass_filter = 0.300
+Epoch 0: | | 24619/? [4:18:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 24620; scene = ['f46d9b174fbfd403', '767a19530957b790', 'e1d7b52a30d60b2a', '288a09225150f472', '12025fef56ee3d5b', 'c09d7898ef37ba32', 'b55b27c9d8f7ad94', '0a4e072b35ec9aa6', 'fa5dc3f82887cfad', '545f0bf834b0b19f', '7b6c709c0eb728b1', '17302103a2bf22c9', '1542e2c1f3aa9e8d', 'bada3acbfed62d2f', '35a8eaa93452fec2', '80c759aed9065f8a']; context = [[13, 94], [174, 259], [10, 66], [32, 104], [0, 46], [0, 77], [17, 81], [35, 88], [192, 278], [124, 202], [49, 107], [82, 147], [57, 116], [29, 87], [3, 53], [8, 62]]; loss = 0.013227 low_pass_filter = 0.300
+Epoch 0: | | 24629/? [4:18:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 24630; scene = ['fe0e0778afc3f27b', '4fa8ea842dc6c780', '303a4ea29cb63cbe', '6fad7d90b7b6d111', '42014bc343bbe932', '4fa0b5f07c785cd6', '80c01f118ad95ec4', 'ec83684b0a0e9aff', '55c7da6a9e83d3a7', '1557cec46192303f', '49f17d37416bde4b', '0fbbfe4c8f90f581', 'f3da07e1268f9829', 'e032f2324ed2e451', 'b917bc074bb50934', '961545212c111ea2']; context = [[69, 120], [114, 182], [2, 67], [5, 53], [102, 155], [184, 250], [5, 50], [13, 92], [114, 159], [159, 247], [15, 79], [29, 92], [89, 174], [3, 51], [91, 136], [2, 56]]; loss = 0.015200 low_pass_filter = 0.300
+Epoch 0: | | 24639/? [4:18:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 24640; scene = ['1090723b42878041', 'c64ea38f6d3f6b4c', '50ed74eb3943626e', 'f1242539d1b2a86a', 'f19b7c0f5aa40c31', '81f004ba91540bed', '53c8ed7e5b5a87b1', 'ee23a3b386446cf6', 'ad087a4072f37a50', 'af29adcca541066f', '4d6eb04ec12514ea', 'd6a5761361d47e69', '58d5f032e4b73bac', 'd65a5c1a8affbdf7', '6b99ee675a03d9d2', '9293552a4fd9e9b8']; context = [[179, 268], [48, 132], [13, 60], [82, 165], [101, 188], [66, 121], [1, 62], [5, 51], [65, 120], [10, 70], [15, 81], [29, 99], [0, 76], [23, 94], [154, 221], [42, 119]]; loss = 0.019026 low_pass_filter = 0.300
+Epoch 0: | | 24649/? [4:18:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 24650; scene = ['de012df6e6222077', '37273e37a2c3573f', 'f4700ebf3f93ccb8', '50f6be03ef653e15', '86d1360e786d5674', '426956bab78ab4ca', '7afc07b02ee54c79', '6b49b064dfdce852', '8c08d0f4c0dfc8a6', '45b17882258efb79', 'ca5692698819b101', 'ac73c593c5fadbb2', '1c5700ef1f66c707', 'e63575e2657489fd', '582b42ffa44c4437', 'cd6ef3e285eb2d6b']; context = [[5, 55], [74, 149], [150, 217], [8, 59], [5, 54], [2, 47], [16, 81], [21, 67], [23, 92], [63, 140], [2, 74], [37, 124], [0, 47], [15, 67], [191, 259], [50, 135]]; loss = 0.011758 low_pass_filter = 0.300
+Epoch 0: | | 24659/? [4:18:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 24660; scene = ['3d3cf44d557987ec', 'f769e724a6aa1acf', 'cfc13aa0d6a72294', 'a7fa0e61d89f8092', 'd269e142de26eea6', 'fbe0260e572a5181', '18282a9be6d78769', '4ad2c3aac2236ec1', 'b30304703e3b4359', 'c37935df091373a4', '84fca6a82c71e4d1', '9566fd91f2dbfc6f', '0119a515554e72f6', '4a6928c68a058ede', '32a48aa0880e2c07', '6484999915205218']; context = [[29, 110], [10, 58], [3, 64], [51, 115], [45, 117], [52, 115], [2, 53], [6, 80], [0, 45], [62, 125], [9, 95], [2, 66], [17, 79], [2, 68], [9, 72], [42, 87]]; loss = 0.020589 low_pass_filter = 0.300
+Epoch 0: | | 24669/? [4:19:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 24670; scene = ['e2af00d19440bf92', 'dd79dc72abfc0614', '1ae8d232b1f3a43b', '8e2f3bf63d24d3b3', 'e0fb27c2c232697e', '2eee580c984b3466', '55bf3c628550da29', 'd65ac2500dafc179', '99ce731cb66281b7', '6074d2ee6d8b506a', 'a75aef9f51c20bda', '191473ef92feab0e', '0221739dc5e25cfe', 'a5289863381a3805', '4dbd4b04438f36a0', '5c0810327cc1dc24']; context = [[1, 47], [4, 60], [35, 105], [18, 71], [22, 108], [12, 65], [0, 61], [20, 66], [74, 135], [3, 56], [74, 162], [13, 103], [3, 51], [38, 105], [15, 69], [2, 68]]; loss = 0.012623 low_pass_filter = 0.300
+Epoch 0: | | 24679/? [4:19:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 24680; scene = ['92095761993aafea', '78718ab636cea9a2', '812e006c97d55f65', 'e9eecd2f4af1e41a', 'd8c6ae0c604d9622', '96f428c26a493886', '4064d154767da583', '0880e957b3055732', '245007bd10b2a438', '6297d2e2430c2951', '43af82aed919ea71', 'b3c1b2ae6ceafc55', 'fe545b889554fa8f', '53ab12b2fa864f2e', '23d449ed98df6459', '3a2b8f56c88c71d6']; context = [[44, 111], [4, 50], [102, 172], [30, 115], [7, 69], [10, 75], [36, 101], [34, 106], [33, 104], [91, 151], [56, 122], [3, 62], [73, 120], [12, 71], [55, 121], [9, 92]]; loss = 0.014437 low_pass_filter = 0.300
+Epoch 0: | | 24689/? [4:19:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 24690; scene = ['1db6c7094f88da45', '855d03992bcf5480', '64b035cd851d2f46', '698b8f508e07fbec', '8c8947bc4f9bcce9', '5027f06d0cc6e0bc', '39e1f92f2731b7e0', '1d3ee0e53979d90a', 'b547a7565aabf774', '725edaf7f5f88583', 'fe50b8ab71db6ff7', 'ddcd077c7e0a67cf', 'ea9d5cef5a33d0ae', '1bad2a58432e346a', '1ae35c468d598029', '2ff4f3b2475e0e8c']; context = [[14, 74], [2, 47], [15, 61], [19, 99], [64, 113], [139, 191], [26, 110], [1, 48], [44, 121], [5, 59], [0, 69], [137, 197], [14, 70], [88, 147], [119, 167], [65, 128]]; loss = 0.016114 low_pass_filter = 0.300
+Epoch 0: | | 24699/? [4:19:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 24700; scene = ['d5272681859ac87d', '5f50dee192160381', '95e2ddd4cdde4c5f', 'af929bef74892ce6', '750888ee3338e002', '44832125f07d776b', '8860d3251307030c', 'c4a00d6ff8529867', 'dd709a76c4ade039', 'd312a48eec9207af', 'a26363624d7d2ebd', '72f41340c3506abe', '004f7056eddd68b8', 'bb7fb00560d88234', '998802a48c76fd37', 'a74f43b16ad90fbf']; context = [[23, 98], [35, 84], [0, 90], [13, 76], [9, 92], [32, 118], [3, 55], [2, 73], [5, 84], [80, 131], [15, 67], [5, 62], [141, 195], [62, 134], [16, 76], [77, 140]]; loss = 0.015883 low_pass_filter = 0.300
+Epoch 0: | | 24709/? [4:19:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 24710; scene = ['f725365ce0e0c2e2', '5cae0c8af1963d88', 'ed005f6bcd0140c0', '82fb4185a92b98a2', '666fbacf3d76fb89', 'db4e2323657a6604', '17657ab0d679384c', '914d28b1a6619d56', '87c15bdc99de8b19', 'ff940b152f67e64f', 'd1f93f6069123a71', 'be58ff6a05db979a', '8a24894256c16beb', '40e959fe748bd12e', '4e7d8ed51095038f', '3f910c5dfda4e9e3']; context = [[195, 271], [187, 269], [46, 135], [84, 141], [26, 84], [28, 78], [180, 254], [10, 86], [15, 62], [4, 57], [21, 76], [155, 214], [78, 157], [19, 88], [15, 104], [33, 85]]; loss = 0.014281 low_pass_filter = 0.300
+Epoch 0: | | 24719/? [4:19:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 24720; scene = ['852949800bb15761', '70974941f78d84c6', '4dcf2a5e3020a734', 'f27e91e65e423f6f', '71f49d6c57da2444', '16105e16e5ae0711', 'fdaecc84a49d703d', '61dd5711d9f34a58', '6cafc45d3d424829', '861ffbadf2fecc2b', '3c3f0e66155f5e99', 'f584eec81d207e79', '7c77209bcdb947ea', '6de77e779e3b977a', 'f7bfca3706acaee7', '9319398a68309ed5']; context = [[17, 69], [54, 136], [21, 75], [30, 86], [11, 66], [49, 104], [28, 82], [46, 120], [3, 63], [19, 93], [66, 149], [7, 55], [11, 94], [180, 238], [126, 189], [9, 59]]; loss = 0.016229 low_pass_filter = 0.300
+Epoch 0: | | 24729/? [4:19:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 24730; scene = ['355a8c97e4c00bee', 'a74acf8b48c6b47c', 'ffe748128f835e3f', 'f0b0ba349ae4a0e1', 'df89f5ef700ef2a9', 'b3ce1599e03be3f8', 'f07fbd53c819dc31', '876bb6275720b3bd', 'bb27dd7eebf259b0', 'f255cb2332e122e3', '18b42abc37807ecd', '6a78d996225de1c3', 'd756f9034c513c4e', '86af68437f53828c', '1385c61c89fb3dc8', 'fa8b1c66012605dd']; context = [[67, 153], [33, 92], [21, 77], [22, 86], [21, 79], [54, 109], [0, 72], [96, 159], [8, 56], [1, 75], [119, 175], [22, 81], [19, 68], [87, 152], [8, 88], [2, 71]]; loss = 0.015864 low_pass_filter = 0.300
+Epoch 0: | | 24739/? [4:19:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 24740; scene = ['17534d7a8a55fd5d', 'fc9eaf68cf867fff', '8e90c763d481898b', 'ecc744dd1cacea77', '765564938726223e', '243c74d8df4d4d51', '9c0da524dfdad630', 'e37c752b04b4d7c8', 'b285d6a7c5aea376', 'eea86f4da84f3536', 'a82f10b51de52134', 'ec59880318520597', 'cb50e3f81a11d354', '5e2b1aa39fa873cb', '950f50eb20e0b656', '666b2827c462960e']; context = [[7, 91], [1, 74], [8, 55], [29, 77], [31, 78], [6, 65], [12, 80], [62, 121], [5, 78], [0, 47], [14, 76], [51, 121], [10, 76], [6, 75], [37, 114], [45, 115]]; loss = 0.014162 low_pass_filter = 0.300
+Epoch 0: | | 24749/? [4:19:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 24750; scene = ['af2fc9909c216524', '29c057a0d6e904c8', 'b8411949437ceb89', 'e70944f4a038cda4', '5b0c98e4aa65be15', '49e2ef92a15efa9a', 'c9b36cedec06f5a1', 'cc3d122c0c441ebe', 'd048fa6c7b0feb24', '9acd902cc71984cf', '0b389c4a73899369', 'bd29dcaa29c13ad4', '3f7ce97ea5dc6230', 'f33b562e80c8da20', 'ce83cc650b802021', '7cac77b4583a1767']; context = [[41, 116], [21, 96], [4, 49], [7, 66], [2, 70], [0, 85], [106, 184], [8, 88], [95, 154], [81, 138], [55, 144], [26, 116], [11, 59], [48, 112], [27, 115], [37, 98]]; loss = 0.013700 low_pass_filter = 0.300
+Epoch 0: | | 24759/? [4:19:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 24760; scene = ['8298f1a013567b13', '717bf560f8a74c28', 'de34678ce0e6b0bf', 'e1a9b9d0ee9cda79', 'ca35b3630b4f28ec', '22c6139e04c88c0c', '9113b967f87b593f', 'e847af48e0a4f411', '07cdcf1e89921c1f', 'c2dfcf83569faa75', '9dfc77c50a277b26', 'ee3aa9f733529ee4', 'ac635718f0df20ce', 'a050ff56fbb4233a', '37321c182e5bf3ed', 'cb2b1b55f3fc77a4']; context = [[3, 76], [46, 91], [31, 107], [12, 83], [62, 111], [78, 154], [0, 59], [11, 57], [6, 76], [177, 264], [4, 76], [3, 72], [43, 108], [25, 87], [3, 60], [74, 127]]; loss = 0.012148 low_pass_filter = 0.300
+Epoch 0: | | 24769/? [4:20:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 24770; scene = ['eb52fcf26d327e46', '121a82c0523487a0', '23aeca1b7b3e453a', '2e667fb64ab04390', '142c9a33b58e5abf', '1d2bf04b397af5cd', '9fddc14f5349e77a', '75f1a9ea90ec5a70', '07dc6a8ad1c2795b', 'a8ee708ba0af1884', '8e809bc69d42936d', '401acd7b2f45e3ba', '95448496911f3383', 'a336f2a75fe842fb', '2df17fc3be490939', 'e5a1230e691772f9']; context = [[114, 200], [4, 70], [215, 271], [4, 65], [94, 159], [16, 92], [5, 54], [57, 147], [17, 106], [139, 208], [5, 57], [23, 106], [87, 162], [128, 215], [11, 56], [93, 161]]; loss = 0.015091 low_pass_filter = 0.300
+Epoch 0: | | 24779/? [4:20:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 24780; scene = ['c31bb4d1a7c5c4b8', '417bfbed2fe3e456', '98fcfd8ffa22fc8b', 'f2a21d9d8675a946', 'eb630841cdb3a850', 'f3e8f051874ddd92', '60b6914bafa3c3f2', '56b9fc4f422e8019', 'f431cff00c684f2c', 'f303ff84d6fa0ad1', 'f8f84ee8a0e4a867', '076c844cbd7685e3', '5fef1486df3ebcaf', '729a57d3136dbf44', 'acab5c82a3ec9f43', 'c3d6ab8fa3f992c4']; context = [[61, 116], [174, 244], [217, 267], [7, 66], [9, 85], [47, 129], [2, 49], [13, 91], [100, 157], [113, 162], [114, 163], [58, 137], [101, 177], [0, 49], [3, 92], [13, 72]]; loss = 0.014473 low_pass_filter = 0.300
+Epoch 0: | | 24789/? [4:20:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 24790; scene = ['39d48f719300ced4', '3f467be31529cb4a', 'a03386c1ccbca9ec', '10f64010139e354c', 'b72cf20680d027ce', '69bc6841b60ccb31', '1ed5c23879c6b17d', '70f3c97d083b73b6', '08f41adb663ab4f4', '66c10f6fa1fc6012', '60169b49df5a7100', 'e1d1d5cffaeaa083', '4f211f459a039d17', '8b420b4f59fb2756', '859ab2c13678fbc4', '0ca3f423c85f9681']; context = [[20, 65], [2, 75], [172, 248], [11, 87], [3, 93], [2, 57], [21, 86], [25, 83], [22, 69], [124, 193], [99, 154], [47, 101], [70, 116], [25, 79], [54, 120], [34, 123]]; loss = 0.011842 low_pass_filter = 0.300
+Epoch 0: | | 24799/? [4:20:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 24800; scene = ['8e1b4054949b6a46', '3dc75de99ef09a0c', '4b586a8cb868c878', 'ee03755cce11b682', 'e90120b06bda46b1', 'bbed62fff468df37', '5645a008715acf0a', 'c426c3939899ee95', '4333b743c3df5779', '37f5f4362e72fcbd', 'ba95ef7c31f58c5e', 'ca1e2d68af0532f9', 'c0e8b7d8718425ec', '5ee8cdeea1ad04d2', 'fd43a0837dfe0b50', 'b5409662410d388b']; context = [[24, 103], [202, 254], [63, 149], [29, 83], [73, 128], [34, 123], [0, 45], [46, 98], [65, 113], [63, 134], [4, 86], [10, 79], [6, 60], [24, 111], [72, 134], [71, 155]]; loss = 0.013799 low_pass_filter = 0.300
+Epoch 0: | | 24809/? [4:20:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 24810; scene = ['0076e0a94466efb1', 'afa96668d51fd7fb', '968cadb6b5d92d03', '186ea4dc48580d7e', '11bb38558a689e33', 'bb3e5ca9e09602eb', '5db01ea086a8e862', '1d5f740c5b0c5796', 'a6085c3947e9edae', '39ee29ea23cd28ac', 'a2db16941ab9b242', 'b224f359d388121e', 'bdb09a346473c04b', '257a55006baed3ae', 'dbd82895ac7ec675', 'd3f823a591c04174']; context = [[3, 82], [103, 172], [78, 132], [1, 91], [17, 83], [1, 46], [3, 61], [0, 54], [165, 217], [67, 131], [17, 95], [118, 178], [43, 107], [11, 68], [172, 254], [3, 89]]; loss = 0.013298 low_pass_filter = 0.300
+Epoch 0: | | 24819/? [4:20:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 24820; scene = ['efe6540cff894f10', '09b9087d9eb61d44', 'd54c4e3b37e80c3c', '3f51c9c0cbfe6cc1', '9e1d56627d5b989e', '28bdb921baafbfac', '1f49c172e103f59b', 'c941a863c629e829', '6e02d6ad65df4d55', '9800cc765e69da26', '9995607bda065076', '862ba263417556ad', '83edf9580ff211fc', '69d5b9ddf86fc47b', '54e4a314b8aa76c9', '0a03b3ea2b82844c']; context = [[97, 157], [8, 57], [1, 46], [4, 66], [14, 70], [177, 228], [177, 224], [0, 45], [0, 45], [7, 83], [25, 92], [3, 63], [1, 54], [4, 69], [98, 172], [25, 79]]; loss = 0.013830 low_pass_filter = 0.300
+Epoch 0: | | 24829/? [4:20:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 24830; scene = ['2d7cadb283e13574', '3ad5f6586ea64736', '32a3dc431068bef9', '66ff41cea8340d76', '68adfaa6a96e15d9', '26a1c40a04151738', '7df06034f65de997', '423716b02f72a648', 'a56f0d62418193a5', 'bd4fcd098e3b2bfe', '794edeedc5c02c51', 'c17e5a0f4b70ddfb', '22d9cbefa3ad1b62', '7f85e2eaf1461d09', '1f4e65a2b3e515d8', '71e569007889ec0a']; context = [[39, 98], [69, 134], [183, 228], [5, 57], [15, 103], [4, 60], [129, 199], [103, 162], [116, 183], [66, 114], [8, 53], [42, 132], [76, 154], [90, 142], [1, 56], [0, 46]]; loss = 0.015645 low_pass_filter = 0.300
+Epoch 0: | | 24839/? [4:20:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 24840; scene = ['e3cd94a50b1b4070', 'af1be5f8be7ed460', '41b859c2c1082df4', '527bcc5d8fd93313', '37de93f90823339f', 'da5f57f3a1ec4bd7', '06a2cc8ce16ae941', '0547c40c72aa5f36', '25e5e7cb35dd9129', 'c14e41b5efd90e77', '890521ad9b8a40bb', 'f1a2a1855da568fe', 'fd79bc222f3d215f', 'e43d5ec97a28d779', '2aacf3b31d7ddb30', '0372dbcceae0e69c']; context = [[14, 67], [32, 80], [15, 85], [18, 94], [15, 87], [15, 73], [154, 202], [21, 105], [11, 80], [49, 126], [32, 95], [0, 76], [54, 127], [3, 78], [123, 171], [59, 114]]; loss = 0.015564 low_pass_filter = 0.300
+Epoch 0: | | 24849/? [4:20:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 24850; scene = ['07e43ec814c3ae7f', 'be06cb0dddaf9da6', '9059042bbf51985f', '24b67dbb503a87b7', 'bc21bacc627a1a97', '80f05cdda5f934d4', 'a698c4ba4ccca74c', '40b8c05f6ff38457', '32e02be2574101b2', '530d5c311f619181', 'ac84bfbbf23ed12b', 'f10456015e79b2b7', '9d112bc624212956', 'ac8497e8d2e2d395', '2baeabdbff228218', 'f82554be08b9bddb']; context = [[24, 86], [154, 205], [157, 236], [18, 100], [30, 90], [8, 54], [15, 62], [2, 49], [110, 178], [101, 159], [56, 101], [16, 102], [17, 73], [2, 54], [11, 77], [0, 56]]; loss = 0.013373 low_pass_filter = 0.300
+Epoch 0: | | 24859/? [4:20:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 24860; scene = ['f21dea2e3ed6d91c', 'df1b7ba1b76c0fd2', '86ade92fdd01c027', '528b96fa2edce81a', '3aab66fa01a69daa', '07f649f009a0ad83', 'e367fd33b59dbf40', '68dd157e5cdb64bf', 'f64f6c0399699bfd', '01c8b17d4f7866a2', '1f8b98db36be71d3', '6e9ef6faaa0df4f3', '24e6a7744c958836', 'b71007f2949391d2', '8a3aa041b2efadbf', '8268a9a1ef78642c']; context = [[30, 110], [55, 137], [23, 91], [3, 89], [202, 250], [147, 192], [52, 106], [2, 89], [6, 72], [3, 83], [9, 75], [93, 149], [3, 54], [42, 87], [156, 201], [28, 112]]; loss = 0.015310 low_pass_filter = 0.300
+Epoch 0: | | 24869/? [4:21:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 24870; scene = ['16d3bee1ca19a1f3', '76102a284ac733bd', '064f86a52bb038ef', '1d610e7d3d756ca4', 'c12fac3629f20e64', 'e2057c3395c0235f', 'b58ebbe9b137ac08', 'df2160a1c74477b6', 'c27f30b71f9279fc', 'df7483e3abe31e97', 'b861254595ef36a0', '919a84669763d41c', '146bdf0267d4eb0b', 'b6247cb18170520a', '6762b70cfb8a36d5', 'e6dd54eaac12391b']; context = [[2, 70], [8, 59], [49, 102], [20, 105], [46, 127], [49, 102], [60, 135], [60, 117], [5, 70], [59, 122], [6, 57], [54, 112], [82, 143], [200, 246], [38, 110], [41, 109]]; loss = 0.016373 low_pass_filter = 0.300
+Epoch 0: | | 24879/? [4:21:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 24880; scene = ['4b03ceeccf23ab01', '0315e41f172fd12f', 'd6fd3cc56301f094', 'c3130fed2437a498', '94eaf5be2556470b', '1af13fa31de17e0f', '5ff62b81e127cc0a', '2c37b4aa102fcb10', '4845d1d4cf79ba47', '59718b64a18ffde0', 'ad9f3fd22d8921da', '7f58c17c1f137a07', 'e5cae04451ba0432', '2278f6eb6c588141', 'baf2755c8de01c68', 'bd2a9f4203d4923e']; context = [[17, 94], [40, 101], [29, 74], [124, 178], [99, 172], [2, 74], [49, 134], [60, 142], [72, 150], [4, 74], [98, 168], [105, 160], [27, 85], [29, 112], [0, 62], [6, 82]]; loss = 0.014390 low_pass_filter = 0.300
+Epoch 0: | | 24889/? [4:21:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 24890; scene = ['6635166741b9774a', '30b1708b08c72076', 'b775a9a9bf4414f3', '9e1e0c91770bd262', '106a576f0475f716', 'cfda25f825c0e037', '9d28e040fb4102b7', 'c57b526f18f6105e', '0abc1a3b9c31f452', '5a261eb9162232e4', 'ece3d30bd2dc2a4a', '64c1a413b76574a7', '8f05210509599df8', '02b97fbf802a5e63', '65aa0f2e84478362', '7ecf5dab221fb781']; context = [[101, 176], [3, 71], [1, 71], [7, 59], [31, 108], [145, 220], [116, 191], [17, 91], [61, 118], [0, 69], [0, 59], [22, 91], [61, 135], [3, 91], [7, 65], [1, 78]]; loss = 0.014309 low_pass_filter = 0.300
+Epoch 0: | | 24899/? [4:21:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 24900; scene = ['55671e2db4657b00', '3f0c6b9395e2917e', '7b73bf5021c9e64f', 'a98e995b177e3c10', '41e36a28161a5541', '28719cce5938d639', 'e4f7b5102c7d22a2', '558d7cafc78e6d2f', '3b9dd52fedcd808d', '61d27dee5caee9fe', '23a44214f18d3bca', '9d5c79ae97b12abf', 'e937f0b04a960552', '78ddb18e77a98079', '91d495bf87c49477', '7d8f97b868ccbb20']; context = [[76, 134], [11, 80], [18, 87], [69, 139], [18, 65], [197, 265], [10, 65], [82, 156], [21, 66], [178, 254], [0, 61], [12, 59], [30, 87], [59, 119], [71, 136], [48, 125]]; loss = 0.013026 low_pass_filter = 0.300
+Epoch 0: | | 24909/? [4:21:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 24910; scene = ['d5298f0109a44e82', 'dd9a17d0096c2303', '5224582141df0ed9', '953260b64d3ddf51', 'de4a96ffa11a29bf', '38dfa3cb46d88c71', '014c6e9ee172a613', 'f4df65cad56a10b8', 'fac2c72daf724143', '6c7342092714b3f3', 'f833af59fc33c0d1', 'c390ed5cdfce1076', 'f057b6113f2f4e6f', 'd6b7a7a9b3091886', 'c363f4b694a2c012', '8bc03c01a2bf1cac']; context = [[72, 119], [57, 114], [6, 68], [0, 61], [17, 84], [1, 52], [55, 105], [48, 118], [78, 128], [129, 188], [7, 85], [15, 68], [4, 63], [153, 222], [5, 52], [24, 88]]; loss = 0.015700 low_pass_filter = 0.300
+Epoch 0: | | 24919/? [4:21:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 24920; scene = ['f70103f4455f7823', 'e15367ddc67d2247', '9973812e154968d8', '1b640724a4303dba', '94dbfc6d72ae96e1', '383411354fc1073e', 'a760fd49e007484d', '7ed6d0ea114b5877', 'dd41d5c9bec9d428', 'f47face8be798493', '261b90e2858fd047', '263c602274f69859', 'adb0906a4a25fca2', '46d97ff2d47bd0b1', 'bd17df2a73c9610c', 'cc3b2bb760ce5ade']; context = [[33, 96], [32, 84], [23, 93], [25, 71], [118, 177], [19, 107], [43, 112], [74, 159], [8, 92], [28, 112], [47, 110], [1, 48], [83, 133], [87, 156], [137, 186], [11, 62]]; loss = 0.015880 low_pass_filter = 0.300
+Epoch 0: | | 24929/? [4:21:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 24930; scene = ['efcd0fe138d9992b', '54651945835f23c0', 'd2b1e757b2e26c24', '37c9f8c6a4114474', '97815539c42cea51', 'eb382c47fa4f8f39', 'aa8e2ed16c3f2308', 'c2ea58f98a5f2338', 'c7525636cfe06a5f', '247d3873d5f3d9f0', 'b3c10f199775894a', 'caeb5fcbcd360109', 'aa97c8716d46b254', '8fcd3b789bb00558', '33bc686989fc7faf', 'c8cc4d70a689f86b']; context = [[0, 74], [0, 69], [19, 94], [44, 134], [55, 111], [24, 113], [16, 104], [32, 86], [14, 75], [0, 45], [37, 95], [6, 80], [19, 91], [40, 95], [14, 83], [30, 77]]; loss = 0.015221 low_pass_filter = 0.300
+Epoch 0: | | 24939/? [4:21:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 24940; scene = ['64f07750a0acd912', '939847209cf6cfa9', 'd92a6ababd47f047', '43739f82f554c901', 'b090e2aca65c679a', '2c70a962096d773a', 'fae93ceeaaf99328', 'b894adf6610ec8a6', '336b3140d9d8bebd', '8e1791ffb6412f09', '1dbe1b3b481fa1f5', '5a6387d05cd51e02', '800b6286c2b3b9c7', '3da7fd2b6cb9b945', 'd7ac888a45c3c904', 'b6f5561feeabfddf']; context = [[78, 165], [19, 70], [58, 117], [50, 118], [39, 113], [30, 82], [21, 88], [11, 75], [21, 78], [1, 58], [71, 116], [188, 245], [34, 81], [26, 96], [8, 70], [2, 67]]; loss = 0.012681 low_pass_filter = 0.300
+Epoch 0: | | 24949/? [4:21:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 24950; scene = ['ee7916d69154f3ed', '68348e0f06cb5805', 'fc1d1d7b8f3d3295', '2962373860639fa0', '4b4df0a0720dce99', '6392f81fbdf07025', '8a1425c529010a20', 'e6382809f20bc883', '15ba31ce348a295f', 'f0a57ad32f7a615a', '594a9f9c8b76d996', '1a34d38778fc33e6', '2f9e585b65804e4f', '59944b3a84a894b4', '5ac7c4ce642f7b05', 'bd0c6bf55d5f81a1']; context = [[13, 93], [38, 90], [0, 46], [22, 85], [22, 68], [39, 122], [165, 234], [38, 84], [13, 62], [2, 63], [88, 149], [163, 222], [9, 93], [13, 101], [3, 71], [87, 147]]; loss = 0.014288 low_pass_filter = 0.300
+Epoch 0: | | 24959/? [4:22:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 24960; scene = ['0099afa1d37142f4', '2dc02dcd60cd893f', 'fbf253fca4a29e87', 'a5b7cbe82d53f7b2', 'e0f2adb45811eca4', '56a636deccdb09f3', 'f38c5ec3bf386a89', '4ec56d4d5fd32c0d', 'd042a0bda52029a9', '3c80b69ca39d44e4', '70a0186b1ff0c13d', '5757c3fde1248166', 'ec54d60519d51799', '44c921ca58ff288f', '8b584a8dd9618d1c', 'e7da078102ea216c']; context = [[6, 94], [114, 173], [28, 76], [16, 76], [40, 89], [141, 195], [3, 85], [1, 56], [15, 80], [92, 179], [4, 53], [2, 90], [32, 90], [105, 168], [108, 175], [5, 83]]; loss = 0.019036 low_pass_filter = 0.300
+Epoch 0: | | 24969/? [4:22:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 24970; scene = ['27d2477442b9d199', '9b31c4820fa50473', 'c2c8f7cf40c9e020', '5a20ace8141ec6a0', '4c5acaa8a03828f0', '8a969f731adacdfa', '7c317155a37b32b1', 'bf2209a2538edc1c', '4317f2b8b541e154', '9ab195e4a4c1e26a', '7cf0b2b224cdffc9', 'a33adcabd9b8d9b9', '656985d12c9330f5', '6e371f54140af211', '123f7a83114427ea', '1e87f5d20a230ae3']; context = [[0, 58], [5, 55], [11, 57], [85, 164], [54, 123], [129, 176], [43, 97], [3, 68], [8, 91], [5, 68], [9, 80], [5, 92], [0, 46], [18, 64], [0, 84], [10, 70]]; loss = 0.014342 low_pass_filter = 0.300
+Epoch 0: | | 24979/? [4:22:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 24980; scene = ['6789953a1a4fe131', '6968ecf229c0b1ab', 'ff43fb6cf89e0791', 'b21458f5b6015a06', '625ef197fa165c4a', 'dc02e89f277cc130', 'a5ec396329b37a88', '11dc92ba5c0e1ac3', 'ff70172dd4ad43ec', '53f875949f358bf7', '9f947caefbff7bf1', '72edfad4ab7268f2', 'a62bd02a1223b0e5', 'bb0c96ae5026135d', '9af18a1c4c45a179', '1a7af026101df102']; context = [[60, 123], [1, 63], [11, 62], [22, 70], [52, 127], [25, 70], [2, 52], [116, 181], [32, 102], [4, 74], [21, 69], [68, 152], [84, 136], [45, 98], [106, 170], [0, 65]]; loss = 0.013732 low_pass_filter = 0.300
+Epoch 0: | | 24989/? [4:22:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 24990; scene = ['209a86f54836420b', '9bf893735e9b1ab8', 'd29ac5d4f2c01cd8', 'de61efbee4c2b1cd', '10932c00957d5ec3', 'c708707156f0d454', 'f1a81e9c8264e5a2', '4e42a798152f2381', '85cd5c3b6ecf03fc', '2e0974f13b85cce8', '96ce3e617124a934', '7e90b94157b6f2f6', '664bee14eb38844f', '78bfcb719521a42d', '8db516061dca4e75', '4aef5d4b9287e08a']; context = [[19, 96], [45, 112], [133, 180], [59, 142], [1, 64], [65, 128], [51, 97], [31, 108], [17, 99], [29, 115], [14, 67], [169, 221], [38, 105], [123, 181], [145, 223], [24, 77]]; loss = 0.017093 low_pass_filter = 0.300
+Epoch 0: | | 24999/? [4:22:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 25000; scene = ['8cf667556a483c0d', 'fea9de2cc9e3c9f4', '6bf5751095b15db6', '6a581fd04c04f395', '8553ad178fa119df', '0a8e684a8532d876', 'd006ffe0f21ab02e', '9b466aa794f2a952', '71df83fbad5e8161', 'fd75e5dda8bc0264', 'f819c202c82dbd4e', 'd1208cce4fb6ba0f', '3824b41cee2ad683', '5f38887f43cb3920', 'dc416c3132e5f144', '525704f3d9c6bb04']; context = [[6, 69], [36, 91], [8, 60], [56, 126], [2, 81], [18, 86], [116, 203], [58, 110], [41, 101], [15, 95], [14, 64], [20, 106], [103, 168], [70, 131], [22, 89], [3, 48]]; loss = 0.015660 low_pass_filter = 0.300
+Epoch 0: | | 25000/? [4:22:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0validation step 25000; scene = ['1072aae07584e091']; context = [[92, 146]]
+Epoch 0: | | 25009/? [4:22:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 25010; scene = ['f0f162a8d6619fae', '1c900d869c429d14', 'b43b9870fd778691', 'eec53be04c7fa7bb', '3a6fa2bf8d42d2f6', 'b681aee07eaf04f3', '95a75f89fb6357bf', '14df881e0bb56d3e', '0be71613432d3b54', 'b103dbafd2c119f4', 'cbda17fc7e8a6e86', '37b4ceaa6a5ec27e', 'ac22f6e38b10a056', '07e029a9578b335b', 'bcb6f212ffe46cab', '2e6e0433942948fa']; context = [[86, 136], [5, 72], [0, 64], [13, 60], [23, 80], [41, 93], [31, 78], [53, 135], [131, 215], [5, 69], [7, 85], [109, 199], [123, 198], [166, 228], [12, 59], [20, 96]]; loss = 0.012840 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 25019/? [4:22:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 25020; scene = ['58ec77029a3dc124', '1d6d289574b75e09', 'ce2b5f59e7d1a168', 'a7627ba979e7203a', '36e33959215c9d0e', '642d3fb21f60cc53', '5979f3317fc24cc5', '677050e1ae2da818', '8f4411404d35c9aa', 'd307d393104be667', 'bfcc388041b60965', '1668a84868a4854b', '5b09360edfdd719e', '6c1c5a9b3c6db4a3', 'a842f67726ffd425', 'a5b5b7be760b108c']; context = [[35, 89], [112, 192], [69, 116], [87, 133], [8, 66], [4, 84], [0, 82], [1, 64], [8, 58], [2, 72], [91, 144], [2, 55], [21, 97], [7, 64], [21, 94], [13, 62]]; loss = 0.016361 low_pass_filter = 0.300
+Epoch 0: | | 25029/? [4:22:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 25030; scene = ['e30be60c965a83f7', '289e5735c8561fe4', '0a6742575ae13c8e', '2172dd5a2826f744', 'df3c0f216403223e', 'a064dfb6451efdb3', 'a9f9ffb599feecf6', '6d484dee4f0c6961', 'c23f64688bd5832c', 'c88d7508d0194c57', '5fc9e60c271b9a16', 'b7707f9169cfbfd7', '2a6060b83b5b422d', '21c78c4ca6f54165', 'ecbe588b1196e1de', '68276e0a2210a4c6']; context = [[15, 67], [35, 118], [114, 195], [8, 65], [3, 52], [14, 102], [33, 84], [59, 143], [8, 59], [37, 105], [16, 92], [46, 109], [9, 67], [10, 70], [40, 100], [154, 218]]; loss = 0.012726 low_pass_filter = 0.300
+Epoch 0: | | 25039/? [4:22:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 25040; scene = ['90394a4c6c156fed', '2c0ba42bfa8fbc37', 'fdc5a4c97ea35db5', 'ac47a40506588f1c', 'e44f5c6ad96bacbb', '035796a705648437', '99cccaa6de050ae8', '3aba94892a572bda', '25afc625ca2083d0', 'b24f0b89fe81c75f', '976589e1e037f256', 'f64be4d4702419e9', 'ea0d6a4426f69bcb', '6dc932b8fa9e45e2', '61152f7f13e6ca70', '51867713f952190c']; context = [[81, 133], [120, 166], [26, 78], [4, 72], [16, 78], [7, 80], [86, 161], [30, 90], [14, 95], [1, 63], [173, 260], [7, 93], [3, 92], [14, 59], [5, 53], [17, 70]]; loss = 0.019746 low_pass_filter = 0.300
+Epoch 0: | | 25049/? [4:22:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 25050; scene = ['142cfddce52374de', '00a61821997f3fac', '88c1ea5819e5c199', '86beec06b2d50e9f', '53f2452ddc09224f', 'f1a709b10ff1c910', '86afb61a789d70c8', '6dc1c644edb0b511', '8c38d6183bfb3f5e', 'a9ecea51771d9a00', 'bae7254a350b521c', 'c6c5e7fabf984326', 'a5b71a671cc06986', 'f248e7fc45f1d3f6', 'fe2b27b75b492744', 'd23ed015a12e7251']; context = [[43, 100], [0, 74], [15, 90], [64, 113], [21, 83], [0, 70], [21, 72], [6, 73], [102, 172], [33, 81], [8, 78], [17, 86], [9, 76], [40, 103], [86, 146], [42, 100]]; loss = 0.014247 low_pass_filter = 0.300
+Epoch 0: | | 25059/? [4:23:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25060; scene = ['7a95da094a319443', '606694c05e360ac8', 'ff267c0c172aadd7', '4da9e7a05f00114e', '4f5699de910b5725', '579c48d14b97d7f9', 'bb6360fc6c2a7a6f', '5343b586209c6a89', 'd170a72d5c176223', '238c273ef45e76cc', '46dada9a4e71accc', '96e64cff9e0bf42e', 'c0c54c2b4baf2273', '241074de11512ff6', 'b2310b9c0e90ad05', '6e9d511811bc3669']; context = [[147, 195], [89, 152], [141, 200], [0, 86], [9, 61], [30, 81], [144, 208], [1, 87], [55, 122], [18, 69], [33, 94], [15, 88], [5, 62], [11, 84], [1, 88], [125, 211]]; loss = 0.013863 low_pass_filter = 0.300
+Epoch 0: | | 25069/? [4:23:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 25070; scene = ['646e226b3273506c', '211386db971dc3f8', '1e5cab40fc44df73', '570874303f66661d', 'ca0bbc80b5844b52', '73e7fc9f7a01d311', '6b7c14e23b21140b', '99a27121d1c043a3', '5449ea452c7e322d', '718ec2409982c432', 'b27081d22742e7d0', 'f9ce09ac3523fff3', 'c3dd44db4cccfc9d', 'b3685a3f8935befb', '40e959fe748bd12e', '4e7d8ed51095038f']; context = [[2, 71], [15, 102], [43, 99], [24, 95], [1, 49], [31, 103], [52, 109], [0, 48], [107, 197], [4, 82], [128, 198], [9, 86], [1, 47], [36, 85], [6, 87], [25, 96]]; loss = 0.013894 low_pass_filter = 0.300
+Epoch 0: | | 25079/? [4:23:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25080; scene = ['9bbdffac7c93063d', '65fd119cae53be01', 'b7f47dac8c0ae90b', '070f0f205e58ec62', 'efc8b93133b0f6f4', '1484e9c4187a562d', 'c9de4d71fde8bf65', '38313c7ce5d8fc08', '645567ee2438a9bf', 'c82c5705fa8e6a19', '17675b4e73f05823', '79b01e4345584de7', '3b85815f3e1df080', '17b59c28edfde65a', '8b2c69b736f247cd', '65c4fbae3daf2d8e']; context = [[30, 118], [25, 99], [52, 101], [18, 81], [35, 114], [15, 60], [34, 118], [40, 97], [37, 85], [61, 143], [25, 76], [1, 57], [1, 53], [1, 69], [0, 75], [27, 72]]; loss = 0.014071 low_pass_filter = 0.300
+Epoch 0: | | 25089/? [4:23:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 25090; scene = ['eebabb84de0fe2cb', '08dcd292a4d3d867', '881bcc1bc35c97cf', 'd63fcaf5a037ce33', 'ba66ab644596fa12', 'a367a7587df5e00c', '68d8c862333a1684', '7229136d82d37912', '94c654bd3e031bcb', '4f9716bb3dc7feec', '23174a6cd65a0731', '308ec88c1ad9b768', 'd6045d186161558e', 'f5bc5f1993328821', '2946d1671bef8129', '095b327d0991f54e']; context = [[15, 64], [0, 82], [42, 92], [1, 83], [14, 60], [76, 157], [40, 96], [4, 74], [7, 70], [28, 86], [96, 172], [14, 59], [14, 73], [42, 89], [13, 83], [69, 118]]; loss = 0.014099 low_pass_filter = 0.300
+Epoch 0: | | 25099/? [4:23:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 25100; scene = ['215eb0b87decb587', '486b548dfacda9fa', '1fb9683df0428231', '3c2c6247ba2354fc', 'e261bbfcfeab2ce6', 'ff004771e31d89f2', 'd54dec23a9a0a382', '5ff87250a0eb913b', '91f7ce8588cb1697', 'd82aac6bf67b7d17', '8f76c9872a7533d4', 'eec8c3dd6f102ec7', 'f9cece9ebde532d0', '1a29b32f5d1a544e', '432c98d8db89f0e4', '649c7a755757b642']; context = [[56, 101], [18, 71], [23, 86], [0, 55], [12, 58], [62, 151], [53, 99], [27, 107], [1, 80], [13, 60], [16, 94], [22, 90], [83, 133], [30, 94], [177, 243], [90, 138]]; loss = 0.014628 low_pass_filter = 0.300
+Epoch 0: | | 25109/? [4:23:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 25110; scene = ['bb09fe710c29a6f1', '173dc9aa00ad7675', '6a2a2ff9c392fefe', 'a270004198eddd9b', '6494828a237a7a69', '64fe2e10e340ebc4', '0762d4d82b19cc37', 'f1cbd0e2909c8ce7', '22b1b9bebc0a0520', 'dbb7151643a69e0c', '1849a41079039a3a', '2c0939fba79df7ad', '4a3ff4b7939ec268', 'a5c9cbbc7e1d69a1', '3c26cfffc84d7f05', '19ce63f02fd326bc']; context = [[49, 115], [15, 67], [0, 49], [102, 185], [46, 102], [4, 67], [42, 90], [123, 201], [45, 94], [150, 226], [32, 78], [38, 113], [29, 104], [4, 91], [73, 147], [1, 84]]; loss = 0.016059 low_pass_filter = 0.300
+Epoch 0: | | 25119/? [4:23:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25120; scene = ['6345f43ef416298c', '5bf44aec719f115b', '9ff079a7d20b61af', 'ab1d4518292e91ea', 'c6f9df8f7eed7728', '88757490a352159b', 'fd58f65ca879b900', 'efc03ccc68e50504', 'e0e18dfe0dff7381', 'b643973b5d059f72', '5fd54bb5819e9564', '0f62fa07d5678c66', 'eb44011752cb1c5c', '47081479d4cd912f', '50c673c4f63de8b5', '5ff49d7da5abf152']; context = [[177, 254], [0, 88], [7, 82], [172, 221], [104, 191], [54, 140], [198, 265], [141, 207], [9, 63], [3, 62], [81, 148], [0, 45], [33, 115], [43, 116], [31, 102], [10, 74]]; loss = 0.015053 low_pass_filter = 0.300
+Epoch 0: | | 25129/? [4:23:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 25130; scene = ['36a2bf6ffbf3f02c', '1b3e33a1b1c8d2b0', 'b15b14f1ba6553df', '36f19d3edadc5a48', 'b3eef8ecc24c5d4a', 'a961e9131e2b8c6d', '7aaade6304f4d492', '967d0d422fed326f', '61b511610991a0fa', '2685fd8ba32dfba2', '11c0036c852ed705', '6e7a3367a0971e8e', '8938a8aeb76c73fa', '707054e4d27d240c', 'e03670263847a802', 'c2b3cec336ac8882']; context = [[13, 62], [2, 47], [5, 65], [102, 183], [29, 85], [7, 56], [41, 88], [30, 84], [138, 183], [24, 78], [13, 101], [65, 110], [2, 55], [49, 102], [12, 62], [2, 56]]; loss = 0.013311 low_pass_filter = 0.300
+Epoch 0: | | 25139/? [4:23:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 25140; scene = ['1dc2b147a439848d', 'e3004ab618aa0b49', 'ac5dbf1f0fb8aac3', '2e7b824b08d94fee', '6b4e967ca81ba41a', 'b88b281f64f2c095', '7ed36baf0bf654d0', '5166aa8b1480afbb', '8963fbe72212820d', 'b2db2e236e0708ee', '14b5dd7a0367870e', '5f0f3067d6e9886a', 'cd709c2b3b9e8632', 'b760e2b61123efc7', 'e10e3534740a99e0', '39fde60b3f52a28f']; context = [[53, 137], [77, 144], [44, 98], [0, 86], [15, 76], [4, 53], [28, 89], [43, 95], [23, 86], [1, 69], [0, 87], [23, 77], [66, 143], [5, 75], [0, 45], [89, 160]]; loss = 0.017631 low_pass_filter = 0.300
+Epoch 0: | | 25149/? [4:24:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 25150; scene = ['7f441f51d44ecaf7', '75a45d8c3c02527e', '89031bc25d93ddf8', '73d4487e58b6b6bd', '919d386ed136a08a', '91344d06d99a6dcf', '434ba7d85520e320', 'd334cb5b90a3f4f7', '510748ec459730d6', '48def91eaf244778', 'bb3c1034f81f14b3', '883b1ce6f044e128', '3d035925ab3a65ba', '7b0443eefd68756f', 'ac09e72e448e7aa0', 'b0d6c95a685f7b28']; context = [[2, 82], [1, 60], [154, 199], [3, 93], [7, 54], [0, 72], [7, 81], [4, 60], [114, 172], [0, 60], [24, 80], [81, 157], [40, 129], [4, 82], [95, 143], [43, 95]]; loss = 0.017210 low_pass_filter = 0.300
+Epoch 0: | | 25159/? [4:24:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 25160; scene = ['50c5300473105190', 'e1f9dac8089dda3c', '00a50bfbce75d465', '4f898444081c99f4', 'bd754c38c5de784a', '7493f9670b78457a', '8a84a27ae82b7ed6', '56f744b757cbbfef', '399668567ff33ad7', '9cd53c2e1832a847', 'cc66dbb6ad5276a3', '8df36fef4fb76bd7', 'b5be3cfa849d6bc9', '4203a06d618eeb97', 'acb03b9827de0765', 'fb3a12e72b856bd0']; context = [[72, 151], [35, 117], [26, 94], [47, 125], [2, 65], [20, 77], [21, 87], [27, 99], [8, 88], [34, 98], [10, 70], [33, 95], [21, 75], [33, 92], [35, 83], [113, 199]]; loss = 0.015645 low_pass_filter = 0.300
+Epoch 0: | | 25169/? [4:24:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0train step 25170; scene = ['1007050ea4602db0', '52e8de02bb42c2b3', 'c5e355f5e0003838', '6cfe3c7146df3d9d', '5c02e9bdee9af8b2', '1c088343d406e9f2', '99fe2314ac87b143', '3a42e516714fd1b5', '526c9eda661b3422', 'f6b893385a57ce05', 'ff5f6d67926a5c6f', 'b1bdd3bf0c31cb6e', 'a692aec682be33a6', '57f2fa81dc0b87c4', '28ea6096b062a3c4', 'd8850b6a341accb1']; context = [[0, 52], [1, 48], [1, 79], [123, 193], [12, 100], [18, 86], [131, 181], [131, 181], [103, 172], [18, 72], [19, 69], [66, 115], [49, 117], [4, 86], [26, 109], [112, 185]]; loss = 0.019668 low_pass_filter = 0.300
+Epoch 0: | | 25179/? [4:24:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 25180; scene = ['55547de472ec6dc0', '419ad326be6abaab', '7a6162d260dd845c', 'faae92356d1bb50f', '9cf6413586bc72ef', '208d50cbb155ae84', '6795e5341d34cb89', '6e3ccf2193f8275d', 'c72a6c3ac24e0c6b', '84740fb6b7e7148f', 'bf9e918931dc1d2e', 'a088ee635f921d52', 'd53e18e895fea170', '4b7fcb1de6b31093', '140e9646d72d09f7', '4ea64d1906532531']; context = [[0, 88], [0, 62], [27, 99], [4, 63], [95, 162], [173, 237], [0, 51], [48, 124], [4, 66], [2, 90], [84, 142], [34, 102], [2, 80], [3, 72], [3, 53], [2, 69]]; loss = 0.017781 low_pass_filter = 0.300
+Epoch 0: | | 25189/? [4:24:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 25190; scene = ['aaf4b6a6c76d8a68', '88d3d9c2be3fc047', '6a8946f40c5ba52a', '0bccdf22914e2e83', 'b34153cb2e3278af', '5894b8e2dcc63d0a', '11269147bec6282b', '25efb5880812d8aa', '3bf0650c715187ab', '9fb5aabc62027f6a', '33a50acfb174d4ef', 'db04d7442f7d6ef8', '2353677596fbfd46', 'd8d4e90e182baafb', '298c3bccb02eb533', '559098dc531fd67a']; context = [[54, 108], [6, 70], [35, 89], [91, 159], [22, 69], [20, 93], [135, 187], [38, 103], [35, 93], [74, 142], [32, 97], [63, 109], [22, 98], [0, 59], [133, 219], [0, 55]]; loss = 0.013166 low_pass_filter = 0.300
+Epoch 0: | | 25199/? [4:24:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 25200; scene = ['95369acfcfef50ff', 'ed220a707d68db77', '6cda38bbc58eee0a', 'f3c1df5b25d1c59e', '0b9c20868d7e0447', 'f53f202e5e6720b4', 'bcfe7556275c5d79', '4e3b6e86f358fee3', '954d5ca506451894', '46076cfef27ba944', '0846c20ff64f3d91', 'b2a959e3b7618c60', 'e07fa95114a46d20', 'ae6fb0640362a0e5', 'db94467a661d6450', '47745a5bfb48afe7']; context = [[59, 114], [18, 97], [39, 86], [9, 61], [71, 135], [10, 60], [11, 92], [87, 166], [130, 180], [15, 73], [68, 126], [15, 65], [5, 79], [29, 82], [17, 84], [26, 92]]; loss = 0.016579 low_pass_filter = 0.300
+Epoch 0: | | 25209/? [4:24:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25210; scene = ['4eba3bc99c2092f5', 'fb93194f2d98089f', '8734bf1187fb1cb4', 'e9057a4ea06deb11', '5108afe9f18fa9ed', '0da66e0b84245e9a', '4e63d66b5be95f86', 'd196dc894157ca53', 'f0c1455efb8d4272', 'b095acdded6e47d1', 'fa114cb02b25cf9c', '0d58b951f36e525e', '51906f14ac9f95c4', 'f86cf6a67566bbee', '1b05efe10364c018', '83689b78310fab98']; context = [[8, 73], [70, 117], [24, 79], [0, 45], [5, 62], [40, 87], [0, 46], [142, 195], [0, 55], [89, 156], [215, 265], [72, 139], [23, 100], [29, 86], [27, 85], [0, 48]]; loss = 0.012782 low_pass_filter = 0.300
+Epoch 0: | | 25219/? [4:24:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 25220; scene = ['7d08a5d6a3217be2', '39953b7377e8fbc6', '30a815b0b47e8a6d', '41442f2f1c7a60e7', '964c9aca14b67e98', '31260dcd8308ca5c', '5e1402ea33a0a48b', 'cd2bd9f19bed30cb', 'cef7f461f9eab602', 'fb58bb589967ac48', '4e455dacfd50c828', '5041b08c691edbf6', '886f07611c5e252e', '3cd467a1ee44b2cd', 'dc1576c8f654e136', '7418f9d1559d7180']; context = [[110, 157], [23, 86], [170, 241], [1, 48], [0, 65], [35, 98], [2, 66], [67, 123], [19, 107], [96, 152], [31, 119], [10, 67], [87, 142], [49, 125], [0, 46], [36, 115]]; loss = 0.015612 low_pass_filter = 0.300
+Epoch 0: | | 25229/? [4:24:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 25230; scene = ['a01f09a89dcbfa6b', '6017ad334569af05', '61c6745879f660e2', '95b4213dae7cb5b1', '9954ce590cc47830', '48e77e81f9cbdd74', '49f65d2e4bd7413e', 'a3c8bc1850b77e62', '6de42437144a0304', 'e984f302bcc9358a', 'd4baf663cc2213b2', '46f85dc85be547ba', 'c9141b8587ac44ad', 'bd4fa299f6efa649', 'c19e649653890e39', 'c203bc4b3de4f08b']; context = [[40, 91], [1, 73], [51, 141], [8, 84], [13, 100], [50, 96], [28, 111], [17, 85], [210, 267], [101, 156], [70, 144], [101, 156], [43, 104], [0, 81], [2, 74], [0, 53]]; loss = 0.015274 low_pass_filter = 0.300
+Epoch 0: | | 25239/? [4:24:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25240; scene = ['5e5083d240be35ce', '3dba3a2d55a5fee7', '92e2dabb88e7dd3a', '71ee360b52170939', '40ad9f0aa3879308', 'c10891ad7ea54ec5', '164bcba551f4c2eb', 'edcaffd1682e71b5', 'cb2a9c3de4c5c411', 'd313beae64da1921', 'e7061b51397d5257', 'f1cfb383e8ffe58d', 'b0acc39faf78464a', '068d85c0b47f4628', '3389d95fe43c8e5e', 'd1543ce8abd3294c']; context = [[7, 61], [0, 64], [19, 101], [218, 267], [62, 126], [10, 84], [11, 88], [17, 98], [75, 143], [166, 247], [0, 83], [58, 103], [54, 113], [6, 85], [15, 73], [18, 108]]; loss = 0.018435 low_pass_filter = 0.300
+Epoch 0: | | 25249/? [4:25:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.0train step 25250; scene = ['c40af6052df793cb', '3cd26316ca2ba399', 'a1c3641a5922ce11', '26aac88656a643d5', 'aecf769bca7bc5ce', '517ae9a9dc37f79d', '86f9b496d5802db2', '1185cec1560a7b31', '91d12d3b1f39fdb1', 'f0f1116cc3d14dae', 'cbb73995f139a274', '09b5abace1293176', '6090fcf28a1a3a43', 'dd73a0c07b63406c', '116fc4e6b30185de', '3d75646077c13ab1']; context = [[58, 110], [164, 254], [98, 169], [0, 86], [10, 99], [9, 83], [28, 96], [3, 53], [4, 71], [2, 52], [40, 115], [57, 132], [210, 260], [8, 89], [32, 77], [27, 90]]; loss = 0.013578 low_pass_filter = 0.300
+Epoch 0: | | 25259/? [4:25:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 25260; scene = ['7f42e221db8a58ac', 'f5c20f9a9308b8e0', '187ba0d0c22f5aec', '8f2473f6e8573ab7', '3e5e43e4d697f0f6', '97e5b1b7d50474a2', '9feb271fe10efd0b', '49a1e21683998cad', '31d6eff6e628395d', '78577d25e063198c', '2f2576739303f8d6', '5456ad8cc629cc75', '623fb00c73da97a1', '71678161fc3a515c', '49f93a17e2406ee9', 'e01bcf87482b0b97']; context = [[178, 253], [76, 131], [13, 62], [32, 82], [81, 142], [26, 82], [14, 69], [26, 79], [31, 117], [1, 51], [16, 103], [10, 57], [85, 166], [15, 82], [35, 116], [75, 130]]; loss = 0.014415 low_pass_filter = 0.300
+Epoch 0: | | 25269/? [4:25:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 25270; scene = ['bf3e22fba24eeca3', 'abebc5d0f7f1196a', '68231892fb47b4cf', '7892b4646d9fb8dc', '6f116b8a156347e5', 'b5f5197047a27ec3', '6805ee5eedb9a085', '47e6c8972d257292', 'a20ae87b38ffe511', 'e213cde371d1a0e4', '0eb64683896cd309', '6f3834a9fcd65e03', '8a6a910d78e80723', '2e85576ff5afb399', 'd0d8bd9b1391cf7b', 'bdfc741d33921386']; context = [[52, 135], [2, 82], [5, 82], [187, 273], [0, 46], [23, 95], [6, 53], [114, 190], [39, 123], [88, 165], [41, 99], [19, 75], [118, 164], [24, 86], [28, 73], [163, 240]]; loss = 0.013464 low_pass_filter = 0.300
+Epoch 0: | | 25279/? [4:25:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 25280; scene = ['5c7a49e1b1890c93', '4abac98c209d4fb0', 'd90c624ad63cd48c', '7fdd2c689e0fbbc6', 'b49869c858d66e39', '81a0bf81c5495d21', '00c26c8b16e5a435', '6ef23c788aae182b', '1c9f469940116f01', '2ae20d03c324d636', 'c24195c8d6c4f8c5', 'dc72e7a087e05c73', '895c916843603778', 'f51a6709d0525ad3', '9ed4bcd4ab48ad2c', '822759abe70b44ca']; context = [[14, 73], [11, 87], [2, 61], [32, 77], [14, 96], [0, 48], [28, 104], [190, 256], [0, 70], [60, 117], [34, 81], [81, 159], [61, 122], [95, 166], [15, 75], [38, 94]]; loss = 0.013889 low_pass_filter = 0.300
+Epoch 0: | | 25289/? [4:25:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 25290; scene = ['2813e378279c4fad', '399b6534f47214c2', 'c5f9ca57f5873e3b', '24ac625c8f95dd37', 'be15a3c0fd266f0f', 'eec5b25d9b090878', '1da206992563b2b9', '3fb2a360fe3a0dd2', 'b71fbffa97db928f', '21e2fa0645ea6c62', '8e63ac56ec509dae', '93c52643edbe225b', '4a694fea0252e84b', '2e324ccdb8038f29', '2c108a559dee1618', 'a4040de9d995b7de']; context = [[90, 163], [159, 237], [99, 151], [5, 63], [108, 153], [26, 72], [29, 116], [55, 113], [28, 90], [173, 259], [27, 108], [2, 72], [29, 113], [101, 186], [160, 224], [13, 88]]; loss = 0.013506 low_pass_filter = 0.300
+Epoch 0: | | 25299/? [4:25:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 25300; scene = ['88b813a9ea188da4', 'ae1e3e3e94a1bc1f', '9105f7b56c8f0dc3', 'a0c2f0fbcf80947c', '635483ea0dc4688a', '7aa0b50241a5f34b', 'd05f90bd3cccd46d', '84830ea2f89dd47d', '8c0d65a1ff16750c', 'fd57854f46eb713c', 'e4abf77ec25cb0e0', 'c1eb42eaca122213', 'aeeb41f6289e530e', 'f0f42a1310d9a5a7', '9edc0db730693fee', '075a9bb030a7db15']; context = [[1, 67], [12, 93], [8, 54], [139, 219], [41, 123], [0, 80], [7, 70], [20, 66], [76, 166], [0, 47], [12, 79], [103, 171], [26, 97], [6, 76], [139, 187], [33, 89]]; loss = 0.012519 low_pass_filter = 0.300
+Epoch 0: | | 25309/? [4:25:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 25310; scene = ['5e5535845e2c1388', '7096e6c54a73bbb7', '763bc6d9d3d231be', 'c8f3d951b2edde1e', '37e0de8aaaaceb0b', 'f01495bd5fb2fef0', 'ba05a98aa0607b00', '5515e734debb7efe', '464dbb8da6dfa7ca', '463c0e908ba09a7f', '5a3d833285fcbd2b', 'f0f5d8ba65b99940', '6733b224d6435217', 'e91cd0784017f8a7', 'e8565e922a0e4cc3', 'e68808e77f09746a']; context = [[56, 145], [2, 52], [58, 104], [2, 69], [14, 61], [12, 88], [192, 264], [78, 128], [39, 100], [161, 218], [4, 80], [27, 98], [8, 62], [25, 81], [26, 87], [9, 65]]; loss = 0.013671 low_pass_filter = 0.300
+Epoch 0: | | 25319/? [4:25:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 25320; scene = ['3c6ab7881589fb15', 'd8f3e400da5eecfe', '372f99da54848103', 'fb003d082b1c3ed7', '1d3156ba2c41e96c', 'e43e90ff27df512e', 'b86ba5945ecd1fb4', 'ead9aabd27eaff8a', 'ce043aeec92138f1', 'c2faca71d6805a59', 'de6a28eb6502eb21', '8b5445c6d9f66465', '3d5a6102484db5cc', 'ecd8c42096f0d5c0', '024a1070b701d9a8', '7637453da2bff547']; context = [[14, 63], [90, 162], [92, 154], [149, 195], [2, 56], [7, 92], [3, 55], [21, 79], [70, 123], [1, 47], [42, 126], [26, 73], [36, 103], [74, 119], [2, 52], [60, 139]]; loss = 0.013545 low_pass_filter = 0.300
+Epoch 0: | | 25329/? [4:25:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 25330; scene = ['46593f269a725e81', '6f3ee9824982fdcd', 'c70d3152f917cb10', '7a351f1909e3dd20', 'a93c30c6e2da0379', 'a1bbcf689b68225e', '177721d767ab4daa', '97a349e2abc0b2b6', '9ce92300ba034e1b', '5d627dc0f8bb0ca1', '958aebff5c34c3af', '68cc6fc0ce46f289', '8102b15a3f244713', '9f4c3a8d89ac49c8', 'dc52369ae90fed74', '69a46538362147d5']; context = [[0, 53], [86, 136], [18, 74], [33, 94], [8, 55], [0, 74], [38, 90], [25, 80], [2, 81], [176, 253], [1, 57], [7, 61], [53, 123], [160, 205], [9, 63], [109, 191]]; loss = 0.014113 low_pass_filter = 0.300
+Epoch 0: | | 25339/? [4:25:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25340; scene = ['9cdf3826b7e9a91c', '3b7b77ba4a9de6d0', 'a25f360183d23472', '3709b553819bf2ea', 'a53b3c3a74723856', '4d3c79cbb5f5c500', 'c935c4a51c51c8be', '25d442a8c161f603', '71baaf1c67f27129', '3c0f96460282d9e5', 'f04f855a7935bf43', '1c72f7e8ad167b29', '9d31b1442667bf0d', '492ecd4fcb323e81', '00793a8a3b268d7c', 'ed2f893289c0de6f']; context = [[98, 168], [7, 68], [39, 107], [0, 70], [1, 75], [8, 96], [37, 97], [12, 90], [10, 80], [57, 109], [29, 113], [6, 73], [0, 77], [1, 66], [45, 90], [132, 183]]; loss = 0.014619 low_pass_filter = 0.300
+Epoch 0: | | 25349/? [4:26:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 25350; scene = ['410915c6183a580c', 'bfbd2a2b0620ab6d', 'f478d886410b020d', 'cb2bf72fb1b90d8c', 'f893871b27cd3338', '1e07b908a2be9402', '508d03e39ed28686', '6821d555fb2fa55f', '9754cd798e248dad', '1b749d9b60927a96', '067ade459f19a3c7', 'b1d713a2958063db', 'e11dd59f0958473f', 'cfb2760966fe13fa', '0b33181143dd3303', '23c1ccdbb82ee29c']; context = [[6, 94], [101, 165], [2, 72], [16, 65], [27, 74], [124, 180], [10, 66], [11, 66], [132, 202], [8, 70], [8, 87], [5, 55], [0, 66], [108, 156], [3, 67], [84, 136]]; loss = 0.011721 low_pass_filter = 0.300
+Epoch 0: | | 25359/? [4:26:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 25360; scene = ['e762c1c07db2b766', '229d95aa1bf21e73', 'dfb2e9e573f4546c', '906fbd1ca67ad39a', 'b4589b9d9a277d11', 'e16752b3b2547b07', '79002f0819c121c7', '2fab89e843378069', '3ba642d8a177b665', '0dfb03fcf8e36e06', '6db367f58699de50', '9cb7e3454afb2e2e', 'f7ef5bb99bf643a1', '3db359985be722e1', '1c4b3333173c4c08', '2f6e8ec2b14bf552']; context = [[3, 64], [31, 84], [1, 53], [71, 122], [71, 156], [9, 76], [4, 66], [2, 69], [42, 112], [16, 67], [53, 100], [13, 64], [53, 100], [147, 217], [20, 82], [98, 160]]; loss = 0.014211 low_pass_filter = 0.300
+Epoch 0: | | 25369/? [4:26:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 25370; scene = ['988e8a280bf6a10e', '9fea8e828b80af94', '122403c4c6d5ba14', '8b2a6372b59e175c', '9296b5eb17ec3ab5', '9360fd7017cc421d', 'da5a989cb39c8210', 'c199ac1f9f466e9e', '1eb860b65c4c5afd', '258f547fc44ce612', 'c22159ade727838b', 'b7326f5e0e4696a3', 'eb8009c38058b998', '91b39681c4fc20ea', '6f25767608b175d7', '892ead239b640a7f']; context = [[13, 58], [0, 50], [34, 120], [9, 87], [31, 98], [6, 72], [0, 83], [53, 129], [44, 128], [7, 68], [3, 75], [77, 132], [10, 63], [11, 67], [21, 75], [42, 122]]; loss = 0.011714 low_pass_filter = 0.300
+Epoch 0: | | 25379/? [4:26:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 25380; scene = ['3bb8ca11ff6e54c1', '0400474c688a355b', 'fc801406b1f9db3f', 'eff8b7d918bbe2cc', 'a92ffea4cbb162e4', 'e3baec3d11a94685', '95f88ab4932e5ee7', 'd41080892de5082d', '697df23e9f5fb6f5', '6432570e1a1c49f6', 'f5d5cdb2832d4496', 'af19ab9142e2bc9a', '572507724698e991', 'a1492834cf50d376', '63d40a39f3452fbe', 'cc37c1c2a65188ca']; context = [[38, 102], [34, 86], [146, 220], [2, 75], [8, 60], [23, 97], [14, 77], [7, 83], [41, 121], [14, 93], [189, 236], [36, 86], [14, 75], [86, 138], [0, 54], [180, 244]]; loss = 0.015387 low_pass_filter = 0.300
+Epoch 0: | | 25389/? [4:26:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 25390; scene = ['57b1333abbaea573', '2c7822582c375f00', 'aecba92e05f84330', '7a9e2a1db5d0c45b', 'b399dfbf864d3076', '1626e670755b1d8c', '14b4d62a983a3e42', '348e39e72320bf9b', '3d21e749686e5754', '97bd795c207a3be0', 'b6c5b3da50a68e93', '0ab56001fc8803c2', '24d08cc9c9fb315a', 'f9c3fae342576d5c', '6ec387771dec87c2', 'f49e05ae93f16a10']; context = [[0, 54], [15, 66], [119, 168], [122, 175], [25, 101], [26, 76], [22, 74], [6, 64], [5, 61], [11, 76], [11, 78], [38, 84], [6, 52], [112, 187], [41, 89], [72, 148]]; loss = 0.015544 low_pass_filter = 0.300
+Epoch 0: | | 25399/? [4:26:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 25400; scene = ['6772bbf66ea84c2e', 'c77423c3ad02ee63', '3308f38305b81cbe', 'f5b005cd4438e2c6', '6f81a4ccaeb687c2', 'a7f4634cdbb5bd73', '2572d5318c4a894c', '133df6db7dd9dab1', 'b1960a647463572d', 'cb1ab7efea5b0b3c', 'cf26b918eb1d935d', '885672bd54db44a3', '24e2d1df4ded73d6', 'eaf9ee5dcff79cfb', '0603807853f0f013', '30f5837d45148abf']; context = [[19, 83], [8, 69], [151, 200], [11, 100], [19, 94], [193, 255], [5, 52], [24, 91], [2, 71], [20, 79], [8, 70], [79, 124], [12, 90], [14, 80], [7, 55], [17, 66]]; loss = 0.012060 low_pass_filter = 0.300
+Epoch 0: | | 25409/? [4:26:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 25410; scene = ['5bcaff024cc940a7', '7c492dbf0a2e0c05', 'e74ae258141bb639', '7d84b08aa4859b2c', '77738fa081c7619a', 'c019c23d2ddcd8bd', 'b83838c091a3d1fc', '6116fc054517d36d', '03bf529f48bfbbed', 'f24a6c3df94a093a', 'cc8d3ade008d8819', '1201c21d12e6aab3', 'f23de15ce9f60bdf', 'e249721b18da12f6', '479eefcf1307684b', '3c0a2c6b785634d5']; context = [[22, 67], [15, 100], [71, 119], [22, 71], [3, 55], [9, 94], [16, 83], [123, 194], [11, 70], [13, 60], [23, 72], [0, 45], [13, 91], [0, 80], [100, 173], [39, 113]]; loss = 0.012424 low_pass_filter = 0.300
+Epoch 0: | | 25419/? [4:26:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 25420; scene = ['6b990b7b7e1842d9', 'a9caf4fcb2bca405', '81df966eea295ac0', 'a6ac9a6cc22cef98', '935a90bf15b8c7cd', '875839ca4b0de009', 'c70a420b1d7dca8f', '303a11da92faeb07', '62be828d9ba51471', 'b4e78cc06154f93c', 'c70b9fbae0d5fc6f', 'ba2a2ce5a110fb53', '84556fd53fab52bd', 'd1ac9667409f147d', 'fe3356c41851577a', '33db6ac69289503d']; context = [[0, 45], [8, 87], [122, 192], [193, 245], [52, 122], [4, 62], [1, 57], [0, 55], [63, 123], [0, 53], [8, 76], [11, 87], [77, 136], [0, 75], [25, 88], [42, 130]]; loss = 0.015754 low_pass_filter = 0.300
+Epoch 0: | | 25429/? [4:26:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 25430; scene = ['9b5f6939bbbbe6b0', '89e458eaccf5b7d1', '079ecd0130a2ee5a', 'f28b186ce4e71938', 'efdc5dd0c7e86d40', '43490a7853819e3c', '6114bc0949f33943', 'd5473cb2512db1e8', '2baaf273aecc96c6', 'cbc58d25231ba015', 'e9e3d932d0ab40f2', '856fd142bf7b7292', '024510f12d858de0', '0c2a6a46327e0593', '7aa1daf4bbe3f6a8', 'e7f99c193dcd3303']; context = [[6, 53], [15, 72], [18, 79], [3, 89], [193, 257], [0, 51], [29, 86], [4, 63], [94, 180], [8, 95], [3, 91], [4, 64], [26, 113], [20, 89], [44, 117], [36, 119]]; loss = 0.013620 low_pass_filter = 0.300
+Epoch 0: | | 25439/? [4:27:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 25440; scene = ['a4b60340518670c6', '89def053fb57d926', '4cf0fa5d266f1c55', 'f91842a302ed9612', 'ffebb154fc9f1677', '3417e5fed41f10ae', '19c7496f4730afe8', 'a9048a3c309e936b', '58e0d91e09eef182', '1477120d7fd18876', 'e673c59331ff267e', '414a868fdb9f7aaf', '74651ad6d6570fac', '4ef41b9f7bdd6f2f', 'a26ee05abc9d9d0f', 'c7cf36f908a95dc4']; context = [[6, 65], [96, 169], [1, 46], [90, 144], [16, 66], [39, 87], [34, 89], [18, 90], [4, 91], [1, 82], [28, 73], [3, 55], [90, 172], [0, 45], [0, 46], [4, 51]]; loss = 0.012985 low_pass_filter = 0.300
+Epoch 0: | | 25449/? [4:27:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 25450; scene = ['f04f855a7935bf43', '25d442a8c161f603', 'a25f360183d23472', 'a53b3c3a74723856', '3b7b77ba4a9de6d0', '3709b553819bf2ea', '3c0f96460282d9e5', '1c72f7e8ad167b29', '71baaf1c67f27129', '9cdf3826b7e9a91c', '4d3c79cbb5f5c500', '9d31b1442667bf0d', 'c935c4a51c51c8be', '928a5e1852f9712e', 'f600f2dc407952c3', 'f7bfb7b54d74f740']; context = [[55, 108], [60, 106], [40, 118], [7, 75], [8, 90], [13, 69], [62, 125], [123, 208], [27, 96], [50, 101], [17, 93], [14, 61], [5, 52], [5, 89], [20, 78], [16, 61]]; loss = 0.016262 low_pass_filter = 0.300
+Epoch 0: | | 25459/? [4:27:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 25460; scene = ['7d8396be45845c71', '962bf8736f57fe5e', '66b806c42bf3c0d5', 'a0d16e79ab441c4f', '3002f9cbe7f00e6c', '09f812fa28cf509e', '3140f7bea5597af4', '2f147c762ad5ee52', '26e0061850a99a8d', '016abfceedd286a0', '3f93267f27496d70', 'a47d3c4e370778f5', 'd2d46a53ce85782c', '7814de64263ff0b6', '7edfe804c8e458c0', 'b1130040cfd2f90d']; context = [[46, 97], [0, 55], [10, 87], [0, 83], [89, 166], [2, 71], [116, 192], [36, 83], [9, 82], [32, 102], [18, 68], [5, 61], [22, 70], [1, 46], [15, 76], [100, 150]]; loss = 0.015797 low_pass_filter = 0.300
+Epoch 0: | | 25469/? [4:27:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 25470; scene = ['f91fc5f7816a4cb5', 'fbdfd869461c1531', 'ef9870cbc94fe475', '943438bbbc464d68', 'b0b09f51a1cb4758', 'f1ef7c1adc5ec36d', '79c4a5514b4df522', '7bb8d358ee6c9c94', '0e2b0dc8e7ece151', 'bc5f1d764f1c0257', '7fd8856e57e2022a', 'e89671db250ccf4a', '32ac33e7248c994b', 'f0178789444cd6ca', '9c6c1629931d179b', '888302379c70fd34']; context = [[115, 185], [9, 59], [137, 205], [0, 46], [59, 108], [118, 191], [120, 195], [4, 64], [45, 113], [16, 64], [168, 248], [57, 124], [1, 57], [147, 214], [36, 121], [28, 82]]; loss = 0.013486 low_pass_filter = 0.300
+Epoch 0: | | 25479/? [4:27:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25480; scene = ['0854759c3f66028e', 'fe95b1b2cd2306fd', 'ea05fe4dc21b53e6', '9d22ef6b551b25a8', '8461b621f373d04b', '7dfe5f26a43a1ec5', '7d3052b47a5d4cfa', '13af2a8a2acc6cb2', 'db57f8c931011117', '083e06ea00de183b', '6f8c7d10b8feadcf', '2a06d961049b4fe1', '79bdf6f1921b96da', 'f546d4b7f1fad4fc', 'fcdc78b1c1978874', '6fa7c62ef1f2df71']; context = [[203, 263], [0, 65], [0, 51], [4, 63], [11, 94], [3, 78], [4, 58], [6, 55], [114, 161], [37, 98], [2, 48], [99, 164], [11, 63], [11, 60], [28, 103], [2, 64]]; loss = 0.014440 low_pass_filter = 0.300
+Epoch 0: | | 25489/? [4:27:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 25490; scene = ['bf23e4c7a4a74d03', '532ddb264ab0bc44', '9d0a12912d14b4ea', '1cb3acc203f0d2eb', 'c1cb0397f708531e', 'fa73837d9457c3eb', '37c1c5992b23c6d8', '6818f4e7fa537488', '3a37cf4cacf00acb', '35c01de3f8a8239a', 'c60ccf93cedc4519', '27fb29e6808a6dc0', 'e6ad6e8999845115', 'f98d3fb5b365336c', '0c88aeccaf31b2da', '6c9dbb58c6fd1fe7']; context = [[145, 192], [53, 100], [80, 127], [5, 83], [14, 71], [3, 65], [1, 82], [185, 263], [3, 93], [14, 64], [5, 68], [20, 85], [125, 211], [131, 183], [24, 77], [126, 176]]; loss = 0.017703 low_pass_filter = 0.300
+Epoch 0: | | 25499/? [4:27:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 25500; scene = ['7dacc3867cf5272e', '22959e8506d3156e', '8217a02daf1b83d2', '6f12d641bf706305', '61c269a3c3f1c3aa', 'd7c70fd548a65dd5', 'd83adec7ec2084f0', 'ababe0fcdff0cb9b', 'c180b05e16a46ac6', '5cc6a2fa5f0a41a8', '5693b9b70c4d1ddc', 'c5e63a8726d8d66c', '082d0267663bc304', 'e1e79fcfe1891c76', '924c32f78e96f7b0', 'f71382a605a56ffe']; context = [[11, 69], [29, 77], [1, 88], [41, 99], [10, 97], [1, 60], [67, 126], [4, 91], [105, 171], [0, 61], [6, 89], [8, 89], [5, 58], [14, 60], [82, 137], [46, 118]]; loss = 0.015272 low_pass_filter = 0.300
+Epoch 0: | | 25509/? [4:27:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 25510; scene = ['54d0782c7dcdfe61', '78b54fa5b5742181', 'c05818414f7e530b', 'd4450052d60e5f31', '0fd0ead3c363584e', 'fedfc1765aa6ac6b', '0ad311b66ea61e62', '99f3ea3ba624fb0a', 'b81b5b28aed15a63', '15a6506c1c89699a', '80270eaee7eac592', '24539d9cb575945f', '4b0b0606c0815dd0', 'e5251115011169b1', '53adc3b61850eaf2', 'b7d77240852d6a52']; context = [[59, 108], [195, 260], [12, 102], [18, 75], [12, 96], [5, 56], [23, 70], [15, 61], [0, 82], [6, 90], [3, 58], [63, 108], [29, 92], [0, 52], [112, 167], [1, 68]]; loss = 0.012464 low_pass_filter = 0.300
+Epoch 0: | | 25519/? [4:27:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 25520; scene = ['6062ff955d0269de', '2bbaf7e8adb766b8', '638bad7a3e253080', 'c24c3c54d1476a92', 'e7899ec595da145f', 'e5dcdb85ebdce1e8', '4f4163ffeab1b5c1', '5e133cf4f2e3ea73', '35c68082e9967b8f', 'c90781a8c3550f6f', 'c5078f3771b597c8', 'd6ca8c7121be7809', 'f09700f48fe43b7e', '4c5243aa962d4277', '34cd718b5402bb56', 'd3b719a3855f8ba8']; context = [[10, 85], [17, 104], [32, 80], [92, 138], [0, 77], [20, 81], [16, 101], [11, 86], [72, 141], [16, 70], [2, 78], [8, 73], [17, 73], [32, 92], [170, 237], [43, 115]]; loss = 0.014994 low_pass_filter = 0.300
+Epoch 0: | | 25529/? [4:27:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 25530; scene = ['1febc354d5524e1f', '54e91a756a41c2df', '580d3485f476c035', '5f775c3cf16e4fb7', '8976bcb5f9f62a5f', '3e73ddaf0ee94d48', '30951fbc07c1421a', 'a7ca92dd37c63508', '436e8e7b90a2f0f7', '11d360f2e93335ed', '4c8b8022496fe58d', '279973ca666dc70e', '743f0cd85a629409', '0a9c1e3eea8d9bf3', 'c6abddb9dcb3e5af', 'd14fbadb2e27da35']; context = [[6, 68], [38, 83], [134, 218], [29, 114], [16, 67], [50, 112], [18, 77], [2, 67], [66, 142], [10, 78], [23, 98], [197, 247], [1, 58], [0, 54], [109, 190], [39, 125]]; loss = 0.016468 low_pass_filter = 0.300
+Epoch 0: | | 25539/? [4:28:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 25540; scene = ['dc71b7d6f6e6728c', '5af194500efdbe7f', 'bcb629dfb626b9b9', 'e56b21b3857f5b1f', '69488632b95ed130', 'ee4aee1b198af85e', '2592dc090a47b5fd', '7816fc8aded82440', 'fb48f63887be7bd6', '5fc68d2deb258a0f', '90b6257c05fc6122', '030e840a3568e0b6', '07d8eb8dbe12d00f', '4c598393eb534746', 'abd801b64004241b', 'f18f14afd3c487e3']; context = [[129, 210], [12, 89], [32, 117], [0, 45], [20, 101], [11, 81], [168, 233], [23, 91], [117, 189], [12, 77], [16, 78], [25, 98], [39, 102], [21, 79], [50, 121], [3, 60]]; loss = 0.018472 low_pass_filter = 0.300
+Epoch 0: | | 25549/? [4:28:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 25550; scene = ['1281bcb2c152e207', '5ef7638cba2b3784', 'b1d124753a0704fc', 'ab191b85edb8c03e', '4758fab8bfaed306', 'ada7af33c9bd3f02', '02660d7eeff1def7', 'bd7e2ab0f8736d44', 'f7aad825d64e7371', '086b2e8c8eb8083e', 'd2a7347d930e0aa1', '459261e4c39753c3', 'ff04b0d2f8c16c32', 'c9fde051aa0d2077', 'a085149436e31f8e', 'ff02f88545dfa566']; context = [[97, 158], [204, 266], [9, 78], [120, 196], [37, 106], [3, 68], [45, 93], [1, 75], [61, 125], [13, 87], [6, 78], [13, 76], [69, 118], [45, 92], [8, 70], [36, 81]]; loss = 0.016934 low_pass_filter = 0.300
+Epoch 0: | | 25559/? [4:28:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25560; scene = ['eaeaf71b0ff6e2e2', '6d859b79756cb35e', '17515d51eaafdd2c', '24f7200ced74c4d3', '694c8dd760733383', '427e644c4721cedd', '5f6769e58c33cf0b', '89dc50dc9a4e15bd', '6203ec07eb54ea40', 'e1843a68dc42dff5', '8592ba43aefb06d9', '9258ddec553eebc1', 'a3d4680cd9ad864c', '8173cf0ad3386d55', 'eb3c7682b5e3ca81', 'cc6379f86543e2c7']; context = [[31, 116], [17, 90], [12, 93], [134, 187], [139, 191], [28, 106], [68, 157], [5, 78], [96, 151], [0, 87], [0, 45], [11, 74], [4, 68], [0, 53], [12, 80], [106, 183]]; loss = 0.014432 low_pass_filter = 0.300
+Epoch 0: | | 25569/? [4:28:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 25570; scene = ['04db0c74a87be8d8', '25e15e214174cae1', 'cf931b8cbcea494f', '5d11abd1b3a2c610', '3c9b19f5eec7e2f9', 'f55cb7b3e9576297', 'b28237b49ddd8334', 'ea39ba8c0ab4573c', 'b8b65a8148951827', '9543fcde99db112f', '571499e260e393fe', '9dfb4143918aeff9', '0da284747a8e4755', '7cd6ba2e6044e630', 'e2554191fea6b835', '7aa6654b0279e4fa']; context = [[2, 55], [30, 100], [13, 85], [164, 209], [1, 47], [60, 105], [2, 76], [113, 165], [20, 70], [44, 124], [23, 113], [50, 106], [171, 248], [4, 49], [0, 51], [6, 68]]; loss = 0.012603 low_pass_filter = 0.300
+Epoch 0: | | 25579/? [4:28:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25580; scene = ['633ea5ed90c8853d', '7818d949ed21d6cb', '152bc2e81c10f79b', '4a8049ca04aa4b71', '9a6b50db3005b7df', '32bd545215ea8a55', '5ca63d8b70397aaf', '297557b2b88b497c', '6f3672df532a8085', 'e804f3cb98185db2', '47001d28d87c84ca', '96f4400964d34786', '3c106bba098df11e', '8301e93ec4e4dd48', '6f8ac21404a427d7', '8478246d5750ab36']; context = [[98, 178], [38, 88], [47, 135], [145, 235], [180, 230], [3, 64], [2, 59], [0, 79], [83, 170], [24, 87], [0, 53], [4, 58], [42, 114], [14, 82], [19, 71], [3, 64]]; loss = 0.015035 low_pass_filter = 0.300
+Epoch 0: | | 25589/? [4:28:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 25590; scene = ['dc2ba641e3e2836d', '0889ef3ac98ca05b', '26944b37c513e89d', '8f79259ea97e3978', '17071d654501dff2', '5c4e9cce07e2d371', '2a113c6c2cc84df4', '9c715fc7130e0184', '8069eabd958650df', 'e4154d0f6d9119e4', '2ca62bc0dc91e75c', '23e97fd6b2865b82', 'd7e5e7068523724b', 'e5982d41ac4b91de', '7399fc6bbcca8a11', '63bd3caf453edefe']; context = [[7, 77], [3, 85], [4, 62], [7, 55], [1, 71], [25, 114], [26, 111], [6, 52], [0, 85], [0, 88], [7, 65], [110, 185], [162, 214], [17, 65], [11, 91], [3, 90]]; loss = 0.013590 low_pass_filter = 0.300
+Epoch 0: | | 25599/? [4:28:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 25600; scene = ['765f5573b2c0a57e', 'e1f9b356140f5da5', '90e525113f00a298', '33765206792aaa14', '3bcde1edefccda53', 'af8122c66180771c', '1c468e394192c313', '1fb9d73ad18c54c3', '5a013cbb504f1af4', '42e57c285ed7edf9', '844b7860ccbe4b20', '89fc5a903b2bcf2e', 'dcb9b6cfdd71641f', 'b11c10ead6589978', '9ad4d1d1ed4eb565', '4d86a1c315f3295c']; context = [[18, 95], [7, 67], [38, 87], [55, 113], [15, 89], [23, 104], [9, 70], [171, 232], [7, 91], [19, 97], [102, 178], [20, 66], [2, 52], [1, 89], [1, 60], [3, 63]]; loss = 0.015459 low_pass_filter = 0.300
+Epoch 0: | | 25609/? [4:28:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 25610; scene = ['f97a862ad842d7b4', '3da05d3eb5207cde', '2a569041a6d85d9c', 'a0c8c3af0eee5a8a', '87936316747fec41', 'a2e41dcc1211b08a', '84278f38e03eb055', '85bd140b5d588f8e', '566c10c5e9a29e7f', '09c054099b4e7450', 'd902ac6a27f342b3', 'ac5a742e35e2385b', 'ad0c7854290bb67e', '4e47cf8a0b5e46fa', '139ea1df8d7f576a', '0aa2ad8ed112f05e']; context = [[2, 78], [141, 224], [12, 77], [9, 68], [48, 110], [28, 79], [71, 143], [18, 84], [4, 49], [7, 66], [0, 76], [7, 84], [11, 95], [0, 54], [76, 141], [104, 166]]; loss = 0.012053 low_pass_filter = 0.300
+Epoch 0: | | 25619/? [4:28:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 25620; scene = ['964a7d0c80ea431f', '209188b1da3526c6', '3e53273804a1b9db', 'b9145d57be555d21', 'b4d23c03c876943d', 'f78cf47fe70673cf', '75c5588a09ef70e6', '74411b139d83a461', '3706e43acaa67c66', '738b9984c41a174e', '366ae2b065afdfc8', '32cefdbe0671381b', 'ed0e0e3d74ae9bb2', '3a696d55abbdff77', '1d808d00657a8147', 'e33681181c5c641a']; context = [[87, 152], [0, 48], [21, 66], [22, 108], [10, 59], [229, 274], [13, 98], [196, 278], [20, 100], [25, 71], [18, 96], [28, 85], [26, 77], [55, 135], [24, 77], [4, 69]]; loss = 0.014039 low_pass_filter = 0.300
+Epoch 0: | | 25629/? [4:29:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 25630; scene = ['0b088d8f468b423b', '15edaece260430f8', 'c60a05da5a4c0816', '7effa2a1152eb398', 'a10772e4b4398eb6', '66d4652ef890ce52', '9075825add4e7443', '5ec193c4b6b33e08', '232eeca687ce1f7e', '85e72acb202e93c4', '6c85736769aae887', '6ec99924a97ed7f5', '4ff83ab9e59ad015', 'd3c976525f0a1ba4', '1a9c15997a0d552f', '31f53697b7d8b2a9']; context = [[21, 98], [4, 65], [12, 75], [61, 117], [37, 101], [12, 83], [68, 142], [6, 75], [29, 80], [48, 111], [49, 136], [8, 68], [6, 57], [7, 83], [9, 71], [1, 86]]; loss = 0.016957 low_pass_filter = 0.300
+Epoch 0: | | 25639/? [4:29:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 25640; scene = ['dc2da1c1495e1ee8', '91a06eeef1c9f640', 'cd00b6547676486b', '9a3e7bd7d05bb681', 'f93e6c088e262d6a', '7420d0473d2f747c', '614a349e0b16efd7', 'f3c60f58000d1e09', '5977ebfe3fb13dc1', '9b4b55d49b0d6c6f', 'f7c8f65808f12d08', 'ee2cb07f49973d2a', 'f3bc1a6ad7acbc5f', '63ec3dfd04ee6970', '1c1838ca17ba6546', '5b370f62c5d74660']; context = [[30, 75], [8, 87], [56, 102], [34, 102], [10, 75], [16, 70], [25, 95], [18, 86], [9, 74], [8, 70], [17, 80], [118, 198], [55, 115], [5, 71], [13, 87], [5, 58]]; loss = 0.016305 low_pass_filter = 0.300
+Epoch 0: | | 25649/? [4:29:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 25650; scene = ['3880bdca1af1fe2a', '55d92465848511e1', '30dfb144a4cecdc3', '48c416537e08a32b', '1f2eb3cfe6ba522a', 'f54af9b96f2fcb52', 'ab47a8cacd5a8c5b', '15bcb6f064c57764', '95dab5fbf02f892a', '9a70317122187ca4', 'b5a1b9f9b27275bc', '5b0b61c88d637d44', '257f25c508646b70', '52ae99c76fa1395a', '912cd60d7e2ca343', 'ccefd472a28ef3be']; context = [[27, 82], [25, 109], [178, 245], [40, 121], [4, 88], [90, 148], [9, 68], [1, 66], [62, 109], [2, 74], [1, 48], [3, 85], [0, 46], [15, 94], [45, 111], [0, 46]]; loss = 0.011941 low_pass_filter = 0.300
+Epoch 0: | | 25659/? [4:29:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 25660; scene = ['fb7859d36011269d', '8d4c41faae44a989', '5a02f56f8414e61b', 'd839570bb3e08409', '70878a6931910f8e', 'ed3be5ff8f32fdca', 'c14be0ac53622d17', '64d8643c793e4826', '6c2112a2af8f34ca', '4ad302dc5d512ba5', '066c3b89b421713c', '38cc781095a4cf06', 'bfa4146967e24f8e', '4e0c19ba3fb0210c', '5aa82cb1d8d4832c', '589c32ddba36eada']; context = [[4, 62], [16, 66], [8, 58], [23, 76], [23, 70], [58, 115], [78, 138], [107, 152], [25, 75], [3, 73], [204, 268], [0, 53], [0, 72], [83, 166], [5, 74], [14, 90]]; loss = 0.015788 low_pass_filter = 0.300
+Epoch 0: | | 25669/? [4:29:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 25670; scene = ['de128be06f4d367e', '57d3903a1a2cd8af', 'd9bd93c235434d6f', '438cb2c77cc7d629', 'ecf34970daa995e0', 'd06450b8a249fb5b', 'd8bd651322084824', '9bde823e8f1eb00c', '318abe4d1ad592d9', 'e7220528356e9e5b', '526bd972a8927785', 'b16275ed32b6dac7', '7bb2c23612182a9d', '2b4606d25fb7a6d4', '5f4ddcc9bb426531', '3397c19634a51370']; context = [[17, 86], [3, 92], [184, 249], [84, 172], [0, 52], [18, 64], [50, 125], [33, 122], [34, 98], [12, 74], [1, 61], [1, 76], [13, 84], [119, 199], [12, 58], [0, 61]]; loss = 0.015010 low_pass_filter = 0.300
+Epoch 0: | | 25679/? [4:29:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 25680; scene = ['06167d62e6dae9b1', '3475faef8773695c', '513ab1107e3d6b47', 'a45555d2f55ced45', 'e3ccb4844e5a7606', '9bae98eb98dc2337', '6b9db893e23474dd', '4ab2f39dd49c4504', '908ebbb6694782ad', '5907249a9fd46e01', '944064bb05da56f1', '0eef1f291b126594', '070f5fde5fa6c61c', 'e73e0f80ee7325b1', '500c86fbe171cbc6', 'e3e1a3f596f25e4b']; context = [[17, 100], [45, 134], [12, 93], [110, 163], [0, 71], [30, 107], [1, 61], [1, 56], [23, 104], [48, 107], [44, 106], [3, 74], [11, 100], [22, 88], [1, 83], [20, 102]]; loss = 0.017347 low_pass_filter = 0.300
+Epoch 0: | | 25689/? [4:29:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 25690; scene = ['bb245e3f9206f612', '669607c93c7e99bf', 'a914c4162edd8d0e', 'a5d85a41a23dabd0', '7278dcd3b41b79ad', 'd5d4754a622a8d8c', '563ac18d3e49036f', 'c1ee0111950cd41c', '3bba2b7423f82ce1', '87f46a01a4296d3d', 'c166d0c8afe6f1e9', '48f0cf3536b29c37', 'b8a5be3f37c332e1', '98297649bab943f9', '2d7f01697e05d2b7', '7f1a7a988560b2ac']; context = [[5, 84], [14, 60], [28, 79], [90, 141], [40, 119], [41, 96], [3, 74], [11, 66], [2, 73], [38, 117], [0, 65], [115, 184], [1, 62], [109, 158], [15, 79], [10, 62]]; loss = 0.014074 low_pass_filter = 0.300
+Epoch 0: | | 25699/? [4:29:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 25700; scene = ['ab9129e394e44ed8', '469dea2a027fbf29', 'ec9c2a32d19bdf0c', 'b96d03ef450db8c6', 'beb75c3deed051ff', '519f45118757eaed', 'ca0a92939d066a8b', 'e138a461554b0cd5', '5678e8f9b633d520', 'd64bb169c283dba8', 'babd376b6bd31006', '02c33557f834ef45', '45e5e077d58aa48d', '1b0502c9984a4204', '13e41bb40b6721d8', '07d45f8aec3ef9d0']; context = [[0, 47], [7, 59], [14, 81], [118, 172], [6, 91], [2, 70], [34, 86], [207, 253], [146, 208], [23, 94], [3, 52], [103, 190], [1, 48], [31, 85], [219, 270], [34, 119]]; loss = 0.014660 low_pass_filter = 0.300
+Epoch 0: | | 25709/? [4:29:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 25710; scene = ['d3d5b66051e3c68d', '250a8529f9e40503', '0e501f15d2d170f4', 'dd409e71277155a3', '104a8544cb466c6a', '79259e9d15d21aa7', '3c7759c8cebd2456', '657d40112099caec', 'c0ecf73a2ab53c5a', '9c55e26abd4e6bfd', '0f1ed084be03230b', 'c3340deff661af26', 'bae7cb341ef95787', '30bb04e939f45d7f', '1d1f6ff2bf5a761f', '48702ec12ae43a24']; context = [[182, 270], [3, 50], [8, 67], [12, 78], [165, 232], [52, 128], [208, 270], [158, 240], [14, 67], [7, 57], [1, 56], [146, 201], [0, 45], [40, 124], [165, 255], [134, 197]]; loss = 0.019304 low_pass_filter = 0.300
+Epoch 0: | | 25719/? [4:29:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 25720; scene = ['cd0b66c5de7b7a00', '87042fddb0b19a0f', '1570ebe6dcc16039', 'ca763356c13cda22', '50e67468797f400e', 'e8721dd467df39d8', '179fe929b342c292', '89f73665ceef8f18', '9ce639a6cb107f96', 'f911860c36c9e08f', '84efc174170d74a5', '3a49221a3776b5f9', 'fe389d965307b43e', '1b0f8416a476477d', '8feb08cb2053860c', '04771067522799aa']; context = [[94, 149], [48, 111], [29, 112], [15, 76], [95, 176], [1, 58], [140, 186], [115, 185], [0, 47], [10, 69], [0, 45], [5, 78], [64, 118], [11, 56], [34, 83], [0, 65]]; loss = 0.012553 low_pass_filter = 0.300
+Epoch 0: | | 25729/? [4:30:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 25730; scene = ['76ee9cd0ca00302e', 'f80b23c9a27a4fb7', '4b6bf04fc01789c6', 'c540fde60000698b', '37a687e49f5a79c9', 'f7c2f06c4ad6d7d6', 'e2dddc85ca109243', '289a0ef9678c7c70', '9a8f7427a9e8c9c7', 'e575b075dd0ff624', '0efe197d25725842', '7b4c999e9945eb42', 'd99655150240cb62', '6e7d45c02959c9b6', '7beb49d35bec6a3c', 'b688484b9d71339d']; context = [[78, 140], [1, 86], [2, 56], [110, 172], [8, 69], [24, 94], [7, 85], [62, 131], [23, 96], [9, 76], [56, 122], [2, 83], [91, 180], [11, 57], [35, 80], [33, 83]]; loss = 0.015989 low_pass_filter = 0.300
+Epoch 0: | | 25739/? [4:30:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 25740; scene = ['9e2a461552595de2', '7f3934616f1c9363', '938575728d10782b', '5bf2fd14f29ae8b8', '1aa700afb85ed61a', '1cb8398179c221af', 'c44c6edca105e847', '564c91ec1a27b1b0', '62bd0e8d94a12e6f', '110a61dc41dc6ff5', '0eb89527bbff40fd', '544e77435d838365', '6a5d174f02a79995', '420c96906f7be97f', '2a0c203240264351', '334f9f98429d2b46']; context = [[9, 72], [33, 95], [10, 89], [186, 243], [113, 173], [15, 67], [5, 64], [47, 119], [54, 140], [4, 82], [12, 87], [1, 57], [2, 92], [24, 84], [16, 85], [73, 163]]; loss = 0.014402 low_pass_filter = 0.300
+Epoch 0: | | 25749/? [4:30:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25750; scene = ['5cc7e504bc1c2d0f', 'e512c4632c5fd221', '84755f2c302bf61a', '9a023c2ffb17bd15', '67c10f315065cdf1', 'b599da50d37c20a8', '3f89af6eab33d00b', 'e6d5c31e345f622d', 'c4c41548cbe80a57', '9105a2228767887b', 'f427626eef7d023e', '633218b916cd8c42', 'c3e7bc3a80c717b2', '61d56cc08c4036e7', '1de4b62d250a54ff', 'f0460e82a071eb81']; context = [[3, 70], [0, 54], [7, 68], [115, 185], [10, 93], [70, 155], [6, 73], [6, 63], [17, 98], [6, 57], [8, 84], [73, 118], [0, 60], [10, 76], [59, 118], [0, 75]]; loss = 0.013239 low_pass_filter = 0.300
+Epoch 0: | | 25759/? [4:30:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 25760; scene = ['67e8f86d20176715', '322460caa7eb4589', 'b3b2f20ec6770c06', '96aab2e6efb87f26', 'c6dc64c34810c21a', '672f32d57b96567a', 'bb73f764ef06fd6a', '74ecf295b208cf93', '892b882565bf1f70', '1b1ae7b669835036', '3acf345a91f25283', 'f2ae5833a73ab66e', '5deba6c5d5b62d79', 'ede2997f4bca7dbe', 'c9db6f67fd60bf44', '887b331c607819be']; context = [[2, 77], [55, 134], [29, 116], [21, 76], [1, 64], [14, 70], [4, 70], [2, 53], [122, 180], [15, 93], [45, 123], [45, 127], [16, 73], [16, 81], [51, 114], [4, 52]]; loss = 0.016590 low_pass_filter = 0.300
+Epoch 0: | | 25769/? [4:30:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 25770; scene = ['0300f87d2ff368b2', 'fdac21a86c2a1ef3', '79590833b9df5558', '7db13dffd4c4bc7b', 'bf269b81fd5ca1f6', 'b76392a98971711b', '2f0784d93c5026a7', 'fa94d8d381572a52', 'df583b2dd1acba5d', '3fb1e31ec9238522', 'abaea05d6dfb482e', 'b20332a5bfc0c3d6', '47fdf3ee7474cb84', '3fa7e46f69f63e82', 'd0cb1bb9d6b7b354', '30b14b9792ff70b9']; context = [[1, 60], [0, 65], [0, 72], [70, 138], [116, 200], [3, 86], [12, 98], [0, 45], [158, 217], [28, 101], [44, 105], [4, 79], [114, 176], [0, 55], [34, 83], [22, 69]]; loss = 0.015833 low_pass_filter = 0.300
+Epoch 0: | | 25779/? [4:30:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 25780; scene = ['25566dbcbdb9d453', 'd0e4a11f9aa906cc', '07182819a3f6a9fb', '70a331f9fcec9d43', 'cac3f22b990387cd', '0d93117304b2c328', 'bcb35fbe47324395', 'f36f99cf29f3be44', 'c1b6e10c20d99e06', '6f5935c4967852ef', 'c938cdcb831e024b', '6f22c617870a2aae', 'ee5738683b5992a1', 'c8e9601177533313', 'af10100731bf2226', '94340815d8708eea']; context = [[118, 186], [30, 87], [0, 66], [112, 164], [2, 62], [10, 87], [4, 50], [58, 147], [5, 83], [15, 66], [20, 68], [5, 71], [95, 171], [0, 52], [116, 180], [63, 110]]; loss = 0.012450 low_pass_filter = 0.300
+Epoch 0: | | 25789/? [4:30:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 25790; scene = ['8fec9f5bb360d613', '6c1376dcc17bb97e', 'cee3eed2d8d9f684', '23b5bacbf9559266', '9cf341f92e48f7a5', 'c6280da834b3cf60', '097df8755aee97ef', '29868e63ea832f53', '5f0904e6c3f20898', 'db42164d6ef63c4f', '3655254eaa0af9ca', '40df9f041d4c7858', 'f67fd4d084e3bb70', '1acbe14fa8b1d045', '1921f0aa77d99890', 'cdc9e1fd6a41635f']; context = [[0, 87], [37, 97], [77, 149], [5, 85], [0, 88], [9, 56], [2, 48], [37, 97], [3, 81], [4, 50], [3, 70], [21, 68], [85, 130], [43, 108], [43, 112], [1, 72]]; loss = 0.014351 low_pass_filter = 0.300
+Epoch 0: | | 25799/? [4:30:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25800; scene = ['cb95b7cfa375a9ea', 'dfe78eb63cd652e9', '8ec27dc882d87cab', '4c13c320c47ef017', 'ed074cd40dc33596', 'e2128a609ff89c4b', '1c124b91c6ee92a5', '4ca6ed1cf7349efd', '38c2f919e61f375e', '100c4c3fa1794647', '10624fc8f33d3a0a', '938865f6756c2301', '9733a5e8b87112f8', '7e590944b3d09a44', '1b4dfb04c00df170', '714d84e0be7d7dfb']; context = [[78, 142], [35, 108], [25, 91], [6, 70], [64, 113], [8, 82], [175, 238], [22, 85], [1, 69], [125, 176], [14, 61], [37, 105], [94, 155], [48, 120], [2, 82], [210, 261]]; loss = 0.014692 low_pass_filter = 0.300
+Epoch 0: | | 25809/? [4:30:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 25810; scene = ['eaaa206bc6243df3', '1c5467a532cbb486', '0c4ad0078fadf621', '59809646300dd7d7', '2fa2b13587eec9ca', 'a18aa1680704fb78', '1184ad5a69f1c35d', 'cb8eb864780ceaf4', '43b144cbf93069d0', '1fdb7901e138d62a', 'e1ff5262951d06fe', 'e6b7f501833c99b1', '754778718a0d9321', 'd4e41a424a3f8cba', '07fe2c759ad400b4', 'c34879e03b346e29']; context = [[14, 102], [3, 67], [48, 95], [16, 62], [2, 47], [5, 80], [15, 100], [71, 157], [10, 89], [124, 213], [0, 75], [15, 65], [5, 80], [70, 142], [0, 86], [29, 80]]; loss = 0.012793 low_pass_filter = 0.300
+Epoch 0: | | 25819/? [4:30:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 25820; scene = ['cf48689e5ce3c0a4', 'a2a1f5e255578f30', '650461cf2ea0cb20', 'b0e43e5b01a0e1fe', '7268a9b2c6ab4000', 'ae1ca5263f6a9d2b', 'b51a813b1248818a', '39c5b64b373bd322', '2030c3b593086fcc', 'e5dd624ef4393db8', 'a62fce653d958993', 'c7cc891ed9113402', 'e78c525a4ed9a37f', 'a25e9cea544647b3', '5dba123f9090725d', '164c533e5d9d5a37']; context = [[4, 83], [152, 199], [37, 113], [25, 72], [34, 104], [3, 69], [12, 87], [57, 133], [5, 50], [0, 85], [33, 103], [40, 93], [43, 105], [59, 122], [16, 61], [112, 170]]; loss = 0.014129 low_pass_filter = 0.300
+Epoch 0: | | 25829/? [4:31:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 25830; scene = ['94b6bf83efdd3edd', '246d056292e76149', '0622c6096332a69a', 'ee85247d7c4f1285', 'e4a14a5915332187', '9dfab02a0ff14bb9', '3150b1c3a91a4e9e', '8488fa43d3af93b3', '8f33ee0e7489575f', '0d7fdf79a21de6c3', '496d1c59633bb143', '99035b0c28d05e25', '3801fa932c2b4338', '2e5ff8faebe9c6d7', '3b06584da906811a', 'a5ffb8224b9ba43f']; context = [[18, 68], [1, 81], [58, 112], [11, 68], [3, 84], [8, 86], [126, 190], [31, 81], [100, 165], [21, 92], [23, 103], [56, 117], [24, 70], [5, 59], [15, 64], [16, 91]]; loss = 0.012774 low_pass_filter = 0.300
+Epoch 0: | | 25839/? [4:31:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 25840; scene = ['cd3fa8effe44ecd8', '5de5a2de423e339e', 'fbcbd0357e2fcc87', 'fdd6f733114f15e6', '601aa128ae3bf57e', 'cf3981617a02f011', '26021386e06aa625', '568996052f219114', 'dcac43c04eed0d13', 'baac8918f8a08b46', 'c13c3c0d71138863', '8d5108cb85063926', '632cc28686be687e', '32761da4adb41371', '5bd8b8a73a3dba11', '35460445a8778406']; context = [[7, 59], [1, 53], [17, 62], [1, 64], [119, 187], [134, 188], [42, 123], [22, 73], [62, 131], [4, 75], [49, 95], [11, 57], [0, 84], [5, 66], [40, 99], [113, 174]]; loss = 0.012509 low_pass_filter = 0.300
+Epoch 0: | | 25849/? [4:31:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 25850; scene = ['6f75c58b5f9de5fc', '16422b1b81a66086', '7543db50a116e851', '7fb9d2cac9a0af5b', 'd3dddf816450d1d0', '69fc02421193302a', 'f344839ca7c971b7', '41c2debbaa89e15f', '53e532801bd44085', 'afb339803ef3b8e9', 'a5822c29e761ba5a', '59a2ea0122aa4591', '0788ca0723d59c2a', 'd6bd4b0784843fdd', 'af7f730cb84dc631', '030d035ba47fecc3']; context = [[21, 80], [1, 61], [20, 93], [11, 88], [17, 105], [0, 75], [55, 107], [19, 73], [0, 68], [16, 78], [23, 79], [1, 90], [19, 72], [15, 86], [142, 216], [70, 125]]; loss = 0.016305 low_pass_filter = 0.300
+Epoch 0: | | 25859/? [4:31:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 25860; scene = ['5f4855dff1edd516', '0f917244fa7a3d9f', '959a7457a468f670', '3a0187dbeeea94c2', '615cc977ddbc7fb7', '6c5028342f43fe8f', 'bd0c6bf55d5f81a1', '73bdc7d6ab5f0561', '59944b3a84a894b4', '938de9ed21c7c620', '94b22ba24f741784', 'd56392a9d88c822b', '2266be279691ad87', 'c8d798b5fddf3e82', '97c83a0fe6e01482', '4c3576f81d93a544']; context = [[27, 100], [56, 109], [18, 97], [5, 79], [47, 104], [84, 134], [68, 124], [46, 102], [26, 92], [0, 45], [3, 53], [33, 83], [13, 63], [74, 160], [10, 74], [44, 94]]; loss = 0.011862 low_pass_filter = 0.300
+Epoch 0: | | 25869/? [4:31:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 25870; scene = ['b1f0ea674605ee53', 'f47bf9df4635b7bc', 'c60aebdf9fcd7c9f', '2b2b8845427d1744', 'e58a3f8dc3c3d1a5', '82a5978dd33be41c', '09989abefdf386f1', '7e5005dc1c3df373', '843822ab52831c17', 'a17f93139405f229', '57282e8799c666da', 'f44c8d1713e71373', '09e512be1e27393c', 'b48966a0343e587a', '28511b9f2fdb1a1c', '659413092374c91d']; context = [[169, 219], [53, 128], [125, 193], [19, 82], [16, 76], [63, 111], [35, 110], [5, 69], [58, 103], [160, 222], [39, 113], [0, 68], [0, 85], [5, 60], [13, 76], [9, 61]]; loss = 0.011735 low_pass_filter = 0.300
+Epoch 0: | | 25879/? [4:31:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 25880; scene = ['4889794e0a6b1495', '51c0bebabb18c410', 'f011ad5713613c52', 'f3e4e6fa5841ea0a', '7515dca6e9b2660e', '77cb8d2a58fcc095', '93b947809d5bb994', '60fb060caf4e0c64', '355fee8d8f60f8a0', '19bda55893b8fe34', '2afa66ba3b843b4e', '641f6c357193d23c', 'f5ec2d727c316a10', '1d5e720fbd1a1938', '3d3c2c9af14d56e0', '27727baa0d2bab84']; context = [[15, 102], [46, 136], [68, 127], [59, 119], [78, 150], [8, 62], [94, 173], [13, 96], [185, 241], [7, 87], [146, 198], [92, 161], [3, 72], [65, 123], [3, 76], [8, 60]]; loss = 0.011853 low_pass_filter = 0.300
+Epoch 0: | | 25889/? [4:31:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 25890; scene = ['db0004e2e6cedd40', '53dfd8ccdd48b895', 'db5ae2eee3e3cdb1', '0fa6bc2796cbba41', 'b35b0b431fab2105', 'dc4dedbd9d472148', '24caa3357e419156', '98bce8609c8a60c3', 'a7000ffb637433ee', '617ca1a7fe197ff6', '00b8297bf8e2a9ba', '803603d87459c7ab', '6d76c97f029b15d2', 'f7748e4b308efdf6', '80398288f8500b3f', 'c689b0c00bf4d59b']; context = [[29, 92], [4, 78], [4, 70], [0, 66], [141, 203], [173, 260], [195, 240], [107, 157], [1, 52], [47, 100], [8, 79], [119, 171], [0, 47], [15, 68], [98, 182], [28, 97]]; loss = 0.012988 low_pass_filter = 0.300
+Epoch 0: | | 25899/? [4:31:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 25900; scene = ['053e55bc3666cc69', '86961a46929cf91d', '1c30239815f91334', '510c5beb7e6a13e2', 'a350e40c8e303736', 'af51cf2b2d12d8ac', 'af0c910f1fcfac26', '8f068b6892b087c9', 'a0f5a24c91ce699f', '0f7d0835b1820906', '9e8aee0addd74c99', '3aca1a87f95323fe', 'ccf5c765a64d7353', 'fbc0f1f919e37f6f', '76be2e71821bf13c', '69a94aeb747c6d85']; context = [[6, 63], [63, 111], [49, 132], [19, 95], [150, 203], [131, 177], [27, 108], [39, 85], [41, 127], [2, 85], [13, 72], [18, 95], [88, 165], [63, 132], [15, 91], [46, 123]]; loss = 0.015472 low_pass_filter = 0.300
+Epoch 0: | | 25909/? [4:31:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 25910; scene = ['94f19a13fb2a5171', '6cc87d3f3948183e', '75fed782416a53f7', '774f9004411d149c', 'dce3791efbb4453e', '106b750ca62bc0ef', '4683fc2de32acba7', '7e0a4040418d94bb', '9c6afc23093a8433', 'c30ef91c3a2d1a41', '153774d1b308ca71', '8c8903dd71f96459', '3e0232925959536b', 'c175666a466f77e1', '411e56c382ab68bd', 'c70e8c5846b50b54']; context = [[135, 196], [58, 114], [38, 89], [11, 100], [0, 70], [21, 101], [192, 247], [154, 238], [21, 70], [3, 57], [4, 49], [38, 98], [53, 99], [10, 81], [87, 168], [0, 77]]; loss = 0.013549 low_pass_filter = 0.300
+Epoch 0: | | 25919/? [4:32:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25920; scene = ['5e826e568765c8db', 'c4764957e63aee28', 'b95b3eaa30433e5c', 'fcc00f988acaf2fd', '8550b8a6409c58b6', '94fd6da7c6f7b896', '4a8ac5130ee459da', '228f67bb3f7257e3', 'a03b1ac1710862b9', '5900d7afad8a08d9', 'f656c8cb690eca24', '2a1e96e3617a107f', 'd43b3efae89891f6', 'f401287d77578677', 'ed38782db0d369de', '9d574765cf7838db']; context = [[16, 61], [10, 69], [11, 77], [20, 83], [72, 129], [147, 198], [8, 91], [58, 140], [34, 103], [26, 76], [0, 51], [81, 153], [2, 63], [79, 125], [35, 107], [17, 86]]; loss = 0.015335 low_pass_filter = 0.300
+Epoch 0: | | 25929/? [4:32:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 25930; scene = ['6e4a73bb5c611465', '2fb09555bd650643', 'e86d5510c0fb2a93', '873d872218f0d7be', '9af59d6b0e6d80ba', '07c2529ac314f932', 'ae002b9af2bbd4f3', '69c909f45ea50a31', '3234346f00ef64b3', 'e0defe5ba621bc9a', '791a8c311bda31d0', '2aa779433bb5d794', 'b308d11f761f3807', '42a868a8da9e7039', '209a430849ed8266', 'aa32d19e98f77cdb']; context = [[143, 218], [174, 259], [0, 65], [16, 87], [40, 106], [9, 58], [9, 61], [0, 45], [26, 101], [6, 56], [140, 196], [141, 211], [66, 117], [16, 62], [66, 111], [74, 129]]; loss = 0.013300 low_pass_filter = 0.300
+Epoch 0: | | 25939/? [4:32:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 25940; scene = ['8a92f75f0e7830c3', '28d3d2139f6b9c98', '02895e8b4e269177', 'a2097aa005e2100d', 'dfb732656fe8d87d', '6892eed5da2f3695', '8dbbda348bab6e09', '7e7304071e8c46bf', 'e19e01d6131ab8e8', 'c26d5d12513a89f0', 'b6a505a1f1341242', '2ef2135e9a37e2bf', '3650d51c6e815a8f', '7bbdce5fc79889d8', 'e3e9b976a7e5fb94', '4fdea40b861d535d']; context = [[14, 64], [30, 104], [33, 118], [14, 88], [1, 91], [6, 65], [19, 108], [24, 83], [6, 55], [70, 120], [39, 103], [3, 82], [61, 116], [1, 65], [59, 118], [102, 149]]; loss = 0.016306 low_pass_filter = 0.300
+Epoch 0: | | 25949/? [4:32:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 25950; scene = ['1a85f01ba13ff050', '35f5db03b4895d5c', 'd734bb675e83b8e5', 'f80940ae5584f237', '060ab7a17625581c', '9f99ef94778a1897', '9f41866e213688cc', 'bf4009c06ec52418', '1c6d5d3f3957f715', '0be7e9a8e6cca579', '13cc7af9fa1c5b1e', '21f58dd661a17f08', 'bd6427f319e8f8e4', 'be1f92c942aa1d9c', '4af92040d8f76d3c', '10d46d09b071b52e']; context = [[2, 82], [33, 93], [160, 239], [178, 265], [32, 103], [190, 267], [37, 84], [56, 116], [5, 58], [7, 60], [17, 83], [60, 149], [42, 119], [49, 96], [139, 189], [141, 190]]; loss = 0.012035 low_pass_filter = 0.300
+Epoch 0: | | 25959/? [4:32:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 25960; scene = ['1dab88f5a54ee41a', 'd75bc06e3fc14333', 'e0ca058fbb73495e', 'f51bd3c5d50335b9', '1c0afb164be04052', '9b6abb583f61a99b', '80df049a2df21988', '2f799acf6bbfcf79', '27943152644d42c2', '238a28384742ad6c', '7bb2a36d347cb804', '5817b7ccc056f135', '3a09888e3ad10f3f', 'eb5d56e4da7b94fa', 'ce95e17ba7e4dc6a', 'b5ffcfc422dbe3a7']; context = [[10, 65], [13, 81], [22, 92], [2, 53], [13, 93], [152, 211], [107, 153], [7, 56], [39, 100], [1, 90], [10, 59], [17, 100], [17, 96], [166, 234], [11, 95], [110, 169]]; loss = 0.014492 low_pass_filter = 0.300
+Epoch 0: | | 25969/? [4:32:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 25970; scene = ['c3cdf7ffed793e44', 'a94288a8ba34c885', '4cb0004a77ec42a4', 'e6d10d8d551ed1b3', 'd0bb7be92eb6586e', '5b62aa29957e669e', '3fb9031eadee0623', '5bf7784db67d5527', 'b0c446190c9dbff1', 'eecb2f3a26f362e3', '19d5cb60dd145ab5', '05e71fae117218e2', '5fc08092336703da', 'bad815527c8333ef', 'e8a30df5338f7643', 'f8d4bc69229fd857']; context = [[45, 119], [35, 118], [0, 79], [23, 106], [15, 75], [35, 121], [26, 80], [33, 109], [29, 88], [2, 87], [37, 83], [147, 217], [7, 65], [24, 105], [143, 232], [31, 105]]; loss = 0.014146 low_pass_filter = 0.300
+Epoch 0: | | 25979/? [4:32:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 25980; scene = ['75a03bf2bb77aef2', 'c89112df6cf82777', '3f2cb8ac0da6c74e', '36e29dd32c865d48', 'a3a3b1ddde35d0af', 'd33388f0d226900e', 'b60e24da267d8063', '1a4ddcf447f6a98c', '5af2629c46a31259', 'ae108d175a910a98', 'eb0e136af148bcd3', '9079c9851a1aa17f', 'e81c6eb3aba6686a', 'a8b97f30e900ed13', '1a565ef44363e64c', '48129b8304e7e807']; context = [[4, 65], [99, 177], [2, 84], [23, 91], [108, 168], [16, 76], [55, 141], [10, 59], [20, 74], [35, 83], [194, 241], [2, 61], [20, 109], [3, 50], [13, 103], [27, 77]]; loss = 0.015204 low_pass_filter = 0.300
+Epoch 0: | | 25989/? [4:32:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 25990; scene = ['ab45a31f1f88599a', '2fc200d87252fbbd', '8bd5a088e2aa2ddb', 'f38b6ef9c87feab9', '531bf71894e7b679', '2a63c14fcba5cc7b', '2da35e624f4b2008', '1899229c3e665767', '86108e7bf29ab2dc', 'b1a6fe3f8ec01571', 'e76013601fe2aa88', '2821faf83e638b87', 'a7fb440edd22ab41', 'a35acc1a9bd7c951', 'f6a87eade96cceb1', '74520135ed4d5b46']; context = [[0, 52], [63, 141], [36, 106], [0, 55], [7, 78], [0, 57], [0, 68], [1, 58], [71, 116], [67, 157], [91, 178], [8, 71], [110, 184], [14, 66], [34, 116], [0, 80]]; loss = 0.013419 low_pass_filter = 0.300
+Epoch 0: | | 25999/? [4:32:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 26000; scene = ['0621379994686889', '6405acc04d687493', '8d19f2c27abf126c', '7fa1e8ca5ff1aa0a', '75d09be60110e2cd', 'c8c1e40f50b1ef9d', '28cc23ff81e8c7cf', '3c8b0bb757a118b9', 'd20cec74d90a31b2', '0081cfd790d7ad74', '4e5a24edeab27bde', '8c6613326c9bb024', '7cae2e82f768bd58', '1ffe77b1a0efd127', 'e73b93ff29fb6e8c', '465485854dea3a8f']; context = [[64, 125], [6, 71], [5, 64], [1, 85], [3, 61], [103, 169], [158, 206], [4, 65], [0, 86], [6, 60], [55, 107], [35, 91], [29, 94], [0, 50], [14, 85], [2, 65]]; loss = 0.014116 low_pass_filter = 0.300
+Epoch 0: | | 26000/? [4:32:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0validation step 26000; scene = ['a17fdfcb519750eb']; context = [[33, 104]]
+Epoch 0: | | 26009/? [4:32:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 26010; scene = ['1c90cb2d24fd41fc', '475c74936027f242', '09874eb1884f53de', 'db661815480bb340', 'd02fee3a4d2fc50c', '7d7eed77289fb947', '42c3e35803878175', 'd74d97ede645d0e9', 'fc8c7cb71ebb4a8a', '61b16a5e34f60ae4', 'bbaab11c9da5fa23', '34dc2fc97f0847ec', 'c5d5fa62ef778af7', '8761503eabe5b1f8', '67cc43badf38da40', 'e25ec7bb30cd1af6']; context = [[26, 76], [7, 69], [13, 78], [4, 65], [47, 136], [5, 52], [21, 81], [35, 98], [28, 103], [37, 109], [26, 90], [30, 103], [8, 71], [15, 84], [159, 247], [5, 59]]; loss = 0.012283 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 26019/? [4:33:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 26020; scene = ['40eb61f6f262db4b', '0773a87f01eb2b3c', 'fe95d4af8c50f45f', '66d2b33c45bf9ff8', 'b71a1e48ca1f08ab', '4bc5ddb6cabff7db', '7294e6445c250c4d', 'b2ccb60cd92b5c47', '759942d03731acb9', '80d7984ab95782a1', 'e85265a8d92fd967', '9e94150705db1717', '334e7a0f91f2c699', '79adefa90b4cf274', 'f86449bbc54d536f', '31bad60f5b6bbd14']; context = [[36, 126], [10, 70], [32, 103], [0, 71], [20, 67], [4, 64], [67, 119], [27, 110], [205, 256], [74, 135], [0, 46], [135, 217], [33, 107], [79, 139], [3, 73], [0, 72]]; loss = 0.013358 low_pass_filter = 0.300
+Epoch 0: | | 26029/? [4:33:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 26030; scene = ['7d581977d99bd0c5', 'bea76b365cfd8732', '74603372c8f823e9', '941e22b32cfce42d', 'a5daf8a4e91768c9', '5f45009e253dee25', 'b0e2bc7d90dacd8a', '5c897627e7315321', '837e804bcacc64f1', '18266599ae0f9451', 'd349326e60a609fb', '081198dc5e02cbb4', '9ff158208cde959b', 'efa95ac103434193', 'dd3f404dd28793c0', '43f8abb298e24592']; context = [[33, 104], [10, 62], [62, 116], [15, 86], [0, 45], [21, 79], [57, 102], [34, 106], [134, 195], [33, 122], [9, 88], [0, 66], [4, 71], [37, 94], [26, 77], [49, 94]]; loss = 0.015869 low_pass_filter = 0.300
+Epoch 0: | | 26039/? [4:33:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 26040; scene = ['3d815e82280adf55', 'ba76ae55718c204b', 'e81ad0d1b43649ef', '41c72cd693116118', '82287431217a5884', 'a020f3293839f1a5', 'ecb85a80a1fe7b8c', '9e2be97628cfffeb', 'b2b3eb2502433212', '35f3fc9b63fabd73', 'e3b3d9b0d8fa9df6', '3b253958e49a169f', '4fa5b973a37f2ed4', 'e14f4c7e2b5bf74a', '0c2e8dbc7c1fa4d3', '0e361cd3050f0a1b']; context = [[10, 84], [11, 87], [107, 164], [3, 73], [13, 98], [39, 87], [34, 119], [2, 52], [2, 70], [4, 54], [39, 103], [16, 76], [12, 61], [1, 80], [151, 205], [0, 45]]; loss = 0.014396 low_pass_filter = 0.300
+Epoch 0: | | 26049/? [4:33:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 26050; scene = ['8ef643c4e1cb9baf', '748b69c4c415b190', '0f167a6ac8878c6b', '05596054e7569f2b', 'b83b6d3d70390d31', '33de72823ba5eabf', '61d39a97cb69d99f', '07cd1b67ada47264', '448fdbb3ff945d74', 'f0a3586f86ff1419', '9e6a9dbe050a1182', '84f5205af72a4389', 'ca0654a08cea1999', '76a18d0254c0b9c2', '36664e22fd10a141', 'a150a9a895e72acf']; context = [[7, 67], [97, 179], [9, 95], [2, 81], [57, 106], [27, 117], [3, 76], [37, 111], [13, 59], [1, 58], [30, 97], [41, 106], [34, 82], [132, 195], [14, 88], [1, 73]]; loss = 0.013044 low_pass_filter = 0.300
+Epoch 0: | | 26059/? [4:33:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 26060; scene = ['46f6304d4b29c976', 'aa054e5a77b2fe77', '3e8c9b739d197f71', 'ab0239d102bf33a5', '6da199c6a71373ac', '882efbeb56fce689', '536b0a79a61e848d', 'cdfc0049ab8824ca', '40c6f5e7838c0674', '3978af43a7ea01e3', '45656906ceb6f2c6', '2fe3d2aaf6006108', '8dbc54ca1f13e7e6', 'ad766f968b9edef5', '52f3bb3cf1f36bf9', '30077b84f8e2e1d3']; context = [[10, 85], [13, 62], [27, 80], [36, 106], [134, 221], [2, 55], [94, 147], [158, 246], [28, 105], [27, 110], [97, 178], [16, 68], [0, 50], [2, 89], [115, 194], [54, 142]]; loss = 0.015265 low_pass_filter = 0.300
+Epoch 0: | | 26069/? [4:33:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 26070; scene = ['7f577fad1ff023c5', '13dbf8438210c6a7', 'c3e0b48fef15e414', '5e74fade96caa43f', '6462c6c54aff4f91', 'b1c83e9447335963', '82f66287d5395dcb', '0655e66efc0c661a', '2ce0e9269078c3a4', 'c8e2e5dc5a80dc4c', '711eab9d5fe0dfbb', '06cc8fa2360b66f7', 'c835a755c41434e2', '2199b087ed01db7b', '002554f1f92ac083', '87f309174a1f7823']; context = [[91, 145], [52, 111], [2, 83], [1, 46], [118, 204], [3, 54], [3, 77], [24, 97], [12, 65], [98, 160], [25, 110], [5, 88], [38, 85], [120, 177], [13, 83], [114, 164]]; loss = 0.015256 low_pass_filter = 0.300
+Epoch 0: | | 26079/? [4:33:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 26080; scene = ['8600a4bba7c48c1c', 'c12633050e140298', 'c719c772e0659477', '3f6e1a095160253a', '361d0a4a60f51aac', '024302734be23cfb', '84a45b26050359c0', 'bafbf82a368e225d', 'ea37b6fc56351c10', '44873cc6dd0a9f5e', 'b7dca8f8921dd2bf', 'aba8920b0aa01c50', '7933d6d96dd31a6c', 'ece78ddcfe46af7a', '163a8471d885270d', '9868890fd5a820bb']; context = [[22, 97], [38, 127], [3, 49], [29, 102], [196, 256], [28, 100], [14, 74], [0, 52], [69, 148], [72, 162], [55, 102], [4, 59], [4, 93], [25, 101], [34, 86], [2, 76]]; loss = 0.013636 low_pass_filter = 0.300
+Epoch 0: | | 26089/? [4:33:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 26090; scene = ['2bfe6a3923cf9a83', '737c9d0602c08ef1', '41d0f7e77a32f5ef', 'afe244c3a728abb6', '5993e9de5182c2a8', 'de9f8a0f0fdd4255', '59fe83675dae05d3', 'aa218c104399ce72', '32a8b21bf64fa43b', '0b8e5155f6823656', '9020573e36356e3f', '2b36d6197e8ad551', '7323b192f14eec56', '6bbbafed0ea0907a', '9864102a74592a61', '32f43866ffda7f8c']; context = [[19, 96], [103, 170], [77, 132], [13, 72], [0, 49], [17, 86], [152, 197], [3, 63], [11, 86], [206, 274], [192, 272], [153, 225], [15, 104], [97, 167], [8, 59], [5, 58]]; loss = 0.016258 low_pass_filter = 0.300
+Epoch 0: | | 26099/? [4:33:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 26100; scene = ['4375d4fb9e407419', '64b414cc58566ff0', '4ec0760c6080f863', '7db929a94fc70899', '9e4bb8fca4924710', 'ab4b017d0b54dff4', '93ea920eab8ad6cd', '4612633dbcb310e0', 'b74fde980825aec3', '8cc956d65a32814f', 'e7c8d03c7aaee9ae', 'e9a0a9f254d59361', '382aaf1269c534df', '930358bc273ec3ac', '9052eaa11b366e90', '763bf0262e09414e']; context = [[41, 93], [11, 61], [5, 54], [30, 107], [0, 66], [155, 225], [13, 60], [30, 89], [3, 52], [49, 109], [0, 65], [12, 64], [84, 165], [32, 115], [10, 64], [0, 72]]; loss = 0.012783 low_pass_filter = 0.300
+Epoch 0: | | 26109/? [4:34:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 26110; scene = ['de76e0fa6665b96a', 'db6b97ddd70d1c1e', '4c6b1a86b7554be7', '601e1b97b88916a8', 'fd39953d2d51d0ea', 'b6602fca4a46af3c', '40f0d7c4d4f968ce', 'ff9a13a4122358c0', '807921d6b212591a', '6f8cce689756a07d', '0c6042e9899a2e96', '46564aa3cafd9354', '861308ba77c9244e', 'e361cc2d6ff1dcbf', '47c387efbac50758', '2088ec79cded5c6f']; context = [[7, 64], [2, 72], [1, 83], [113, 176], [1, 74], [44, 116], [13, 64], [24, 70], [12, 78], [3, 79], [165, 246], [10, 60], [10, 56], [50, 113], [2, 51], [79, 166]]; loss = 0.013051 low_pass_filter = 0.300
+Epoch 0: | | 26119/? [4:34:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 26120; scene = ['680269475a3d39bd', '3d5aba046f430460', '112fe719672b039c', 'dd4b7d63eb889f4c', '78c6a6ee640ddd5d', '96cecba0e67730a0', 'f12f15a49d26e3cf', '24b6b26c35cf6785', '24e3c8fc3a7f2c55', '7c1ed1fd5eb3d2a3', 'f3fd994a22e6fca7', '0a01630c946fc97e', '78d3fa13abfd11af', '737a939bb47f737e', '2177800a0b750724', '816e80127f6e5599']; context = [[21, 80], [27, 90], [1, 90], [0, 61], [66, 113], [64, 133], [180, 225], [53, 110], [17, 95], [29, 77], [7, 65], [39, 92], [0, 45], [26, 90], [63, 109], [2, 85]]; loss = 0.013754 low_pass_filter = 0.300
+Epoch 0: | | 26129/? [4:34:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 26130; scene = ['ec349cabb9b47638', '15520790d9920886', '6dfccb29bd9d71cd', '2883310e27b80dc8', 'ec95a136b7913856', '6f4fa444ace5838b', 'ccc67dfe3f68e1dd', '1fcda0030be61dd2', '97a2dba4959a326d', '607189d95ed54ab6', '8c2fc2e12d07c3a4', 'e4bbe64f8760c542', '166ab757ce15befb', 'f83aad93553a1fe3', '81be8d1f05e32e8c', 'efe518cb76665511']; context = [[107, 164], [138, 187], [77, 135], [24, 99], [22, 111], [42, 118], [2, 64], [0, 81], [126, 194], [42, 88], [61, 120], [8, 82], [11, 101], [7, 73], [155, 211], [16, 72]]; loss = 0.015805 low_pass_filter = 0.300
+Epoch 0: | | 26139/? [4:34:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 26140; scene = ['21aaa1f3e5a3e5e3', '383b8b2cf304af9d', 'd79eb57215e37fa7', '095b4e72172b57b0', '0c6c060f599465ed', '9ad4e9f0c76d86c6', '13e485a7ecf7ab77', '4576505dd75012a7', '749a512e77a7918e', '8aa303de9063e25b', '058fc0d297e79ae5', '6e4a4d84dd997b10', '6a4164392cf6a79b', 'a0c990050d1cfa1f', '237c3958c379951c', '639dccabc5fd5189']; context = [[133, 190], [48, 101], [62, 126], [31, 116], [22, 92], [10, 56], [60, 140], [47, 99], [11, 61], [5, 95], [0, 72], [69, 158], [56, 106], [118, 164], [69, 152], [27, 111]]; loss = 0.011287 low_pass_filter = 0.300
+Epoch 0: | | 26149/? [4:34:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 26150; scene = ['345f20661ebc438b', 'fc7a4058a271568a', 'd89dddcd0f832366', '54c069a69cdc9a5a', 'e9e19e83fcf1a039', '48d1d1cc0b88b0e1', '234f8c7ac31ef3a9', 'c0a30746c1603b94', '020551a90bfcc451', 'bca106203e2c015c', '0b77559b78636b4f', '3223d609a09f0523', '4cb3eb59c7b2138a', '26ecf4f28d4a1479', '08af4876a7784ea0', 'c28c89d3a0e8895f']; context = [[1, 66], [52, 108], [49, 96], [13, 77], [153, 230], [4, 70], [159, 235], [167, 249], [21, 76], [5, 58], [1, 71], [119, 188], [108, 182], [4, 52], [3, 49], [59, 148]]; loss = 0.014093 low_pass_filter = 0.300
+Epoch 0: | | 26159/? [4:34:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 26160; scene = ['0e919bde79f02850', 'e552fbc688a36113', 'ee142738b92e9d16', 'cad3ed6e8bc9f413', '10e801244cd4bcb0', '554c4773a1d8fa76', 'e2009c92c7495572', 'cdfaedf191aa202e', 'b274db3887eceb14', '7a2b10ce0692e2e0', '43ee1db1e7636662', '9e950a8db19553b9', 'db2911d71cd2d389', 'dd1ebbbc32276ec6', '6ede7a3926290779', '1ec41f3828e1065e']; context = [[27, 109], [5, 78], [8, 56], [4, 77], [153, 199], [3, 55], [72, 157], [37, 104], [0, 63], [16, 69], [1, 68], [3, 64], [61, 121], [22, 71], [34, 87], [1, 80]]; loss = 0.016143 low_pass_filter = 0.300
+Epoch 0: | | 26169/? [4:34:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 26170; scene = ['585cf545429da30f', '6c7d4370108ed4ba', '59cbdb17d276f404', 'bf06cfe9b4cec1d2', 'a31ec86eeddd7ddf', 'db00c9d61968623b', 'b387c3b1ec098597', 'c4b17deb5eb615a2', '5f764e1ab65cc798', '1c1c958dcc2f8449', '14d2a9691dd8b061', 'd8d57e3bc65ad562', 'bfdad06e0239afbf', '294257960721b6f0', '93138f88c119600b', '720c20829e8facbc']; context = [[90, 159], [6, 83], [221, 271], [10, 94], [0, 74], [0, 82], [43, 104], [24, 73], [133, 183], [10, 90], [12, 84], [21, 81], [2, 79], [11, 87], [36, 100], [20, 91]]; loss = 0.016531 low_pass_filter = 0.300
+Epoch 0: | | 26179/? [4:34:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 26180; scene = ['65be8dee646970d9', '9d34c9589e0434c9', 'a02a57c926d1ae45', '960daf58070c833a', '3c731be7ff0e9a73', 'fa3d7ea00b62e8da', '9ebc32522a5d6bfe', '4fb40dc3a4716a0a', 'de04b38c9180ede5', 'c34efa1505a0cfaa', '9b26bb403d1d515e', '88b54484f742e069', '47a1772c9348c0be', '1181acbb2ab18e64', '666e4a9aba27bb64', '1683c797f3feac29']; context = [[69, 130], [104, 161], [107, 179], [12, 82], [0, 46], [33, 82], [26, 108], [35, 106], [8, 80], [38, 101], [23, 92], [5, 77], [27, 93], [28, 114], [9, 99], [22, 73]]; loss = 0.014511 low_pass_filter = 0.300
+Epoch 0: | | 26189/? [4:34:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 26190; scene = ['5e1da2c0b8f5e55c', '56f0d70786d99f4e', 'b1c69f245fc0e901', '1e977fab13d5a5e6', 'a2eeb58967274b72', '85ee0fc26f209eac', 'c0fbb9bf7c8826fa', '624e38bebc2855b6', '6bd24285280fac2f', '306bfd98c1979405', '767a02e7d26e071f', '70622e192e7ee17d', '2b607188b335e0ad', '2eb7997ba431e752', '4f626955e18d7e9c', '351d1ccd07acca8f']; context = [[18, 107], [7, 84], [47, 94], [11, 88], [10, 86], [14, 68], [4, 88], [100, 167], [138, 220], [0, 54], [9, 96], [0, 55], [0, 72], [49, 109], [4, 79], [21, 79]]; loss = 0.015601 low_pass_filter = 0.300
+Epoch 0: | | 26199/? [4:34:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 26200; scene = ['dc340f8aa416f839', 'cf6a4349d0ffdfcf', '490710a2cacc8268', '94f20b7d0165bdbc', '25a35d6bb3d58a7a', '7f60555b6995c522', '3485e4776717068a', 'd63b84db0b35d04a', '6b549d67d37b3d6a', 'b915146b10f26355', '08011a68f39ca0f4', '069c535d11d48564', 'b654725bca73b272', '036be3c12f22246e', '241a2fe408acfd48', 'd58acde048d2e806']; context = [[20, 96], [63, 127], [192, 267], [0, 56], [55, 102], [1, 49], [1, 70], [19, 81], [127, 214], [17, 99], [4, 67], [37, 125], [3, 89], [20, 82], [16, 81], [7, 71]]; loss = 0.017796 low_pass_filter = 0.300
+Epoch 0: | | 26209/? [4:35:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26210; scene = ['a91564894324256d', '33ba82bd47909e3b', '9d04b522ad2fcf26', 'd08843a89e7375a6', '97e72d8bd82aa998', '0e926d6680d8942e', '01e56cb442a2cb05', '627d2275dda31d2e', '8c0b0087bd94017f', '554eec4e62ff08ff', '2a36ed883b16e48e', '0f81cd5e8b04bc00', 'acb03b9827de0765', 'fb3a12e72b856bd0', '8df36fef4fb76bd7', '02e09836f8b1b780']; context = [[0, 62], [49, 106], [7, 94], [9, 62], [3, 79], [143, 215], [145, 214], [3, 61], [63, 116], [20, 74], [166, 252], [3, 52], [41, 105], [11, 71], [9, 74], [63, 142]]; loss = 0.015776 low_pass_filter = 0.300
+Epoch 0: | | 26219/? [4:35:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 26220; scene = ['0cc8f2797b38bb96', '5e62a890cb5a023a', 'd189eb4b6fd8a3f7', 'a05f322adda6b100', '333d47c166aad666', 'ab36eedface7b474', '7cfb911c40da361b', 'ce52e2bf6dbb72d7', '9b016b455aedd9f4', 'f497c3291a3d7a10', '3bf31ebdeb63cc76', '4908aac28b307cd9', '3e44b0211bff141f', '1e34da8488eaf819', '4f904d8b36a45943', '51d7fab7ae0c2302']; context = [[171, 233], [221, 275], [11, 61], [0, 45], [8, 65], [15, 89], [18, 65], [11, 57], [7, 68], [39, 93], [21, 87], [98, 146], [87, 162], [31, 80], [8, 97], [26, 92]]; loss = 0.013337 low_pass_filter = 0.300
+Epoch 0: | | 26229/? [4:35:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 26230; scene = ['51c8b3e4db821308', '9b2f1df1f42e7f31', 'edc3089c382e7cb7', '9f01f4511c4b785d', '8b6da003a9b4bacf', '74b4d13db0a1d1c3', 'b49c78c13682e129', '36e375aeb371ed72', 'b2a34524405f79ff', 'f1e8c1b674d290ec', 'f001500643d191d6', '23f93bec3ac52e4c', '0120521cfa518c34', '9bb10fc846b3d2b1', '2dd8ae2b71457753', '124c9f059bef0478']; context = [[35, 80], [100, 167], [108, 195], [172, 227], [19, 89], [166, 243], [2, 78], [67, 130], [53, 133], [6, 84], [35, 121], [85, 145], [2, 53], [27, 78], [38, 91], [30, 99]]; loss = 0.017661 low_pass_filter = 0.300
+Epoch 0: | | 26239/? [4:35:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26240; scene = ['1c2cc296902ee8ae', '358debce281c8f2f', '1dff7f35c705b463', 'eeb6c11a957a10be', '1d1a2d85e494003b', 'a60716af5ec0e3ef', '4091922e35b9888e', '59db4a6c5b9f2cf7', '0545f9c5b16ffd1a', '356e2b03d743a4eb', 'b14c7ad01174f831', '04e1cc8fae1733ea', '321585c609c2f021', 'df0c5e9e24e7a7c7', 'a21ecaa051b3c9d3', '7321187b3f37253f']; context = [[32, 102], [88, 138], [49, 124], [16, 64], [5, 68], [11, 71], [26, 90], [4, 65], [3, 80], [97, 173], [39, 109], [79, 143], [1, 51], [4, 76], [1, 47], [1, 88]]; loss = 0.014498 low_pass_filter = 0.300
+Epoch 0: | | 26249/? [4:35:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 26250; scene = ['76506e341d653fcc', '505bf8619ad5c82d', '917d67c145c0e42d', 'ad3a722fa741325c', '906993d2ef5ad8a2', '28e70b14162b57e3', '34edc14f004a48e5', '974fb35996472927', '99cd8988ccc9f536', 'c4eb8c0b0d91fdd4', 'bd8e81f4513a732a', '5893ecb5ca418955', '3233932b0505b21d', '6b8bf7759c041d98', 'd26ab9c62be59001', '3151e48717cc2a77']; context = [[39, 86], [16, 65], [29, 81], [7, 84], [2, 83], [5, 79], [4, 63], [71, 153], [13, 59], [15, 62], [36, 85], [13, 63], [43, 90], [79, 147], [72, 125], [11, 57]]; loss = 0.011783 low_pass_filter = 0.300
+Epoch 0: | | 26259/? [4:35:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 26260; scene = ['ed491b6b382a27dd', '2887e0dcf4d3f140', '20e7b7a88ff9e9b0', 'ffef9b51cbc0d8d5', 'f122ea05abe66bf7', '84b0d7afb0dc1068', '2c186058f4d4b436', 'b831ee2e69f105bc', 'b85b9e575ba37be6', 'cf0f04664365920b', '1b5e74e616977c79', 'ac53955bee2ad533', 'e09381fbc7d917df', '40e716deab059b5f', 'b2ebdd6053a0a87a', '960ee8aa94f850d3']; context = [[66, 111], [13, 81], [3, 68], [3, 48], [74, 151], [3, 56], [7, 68], [66, 152], [99, 146], [76, 134], [1, 63], [2, 65], [8, 73], [64, 130], [68, 121], [20, 94]]; loss = 0.017781 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 26269/? [4:35:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 26270; scene = ['4391bd534b35a7ec', '122e5ca1a798cc71', 'b4a772b9bf1281a3', '4b5cab39ff495d14', 'bb1ebba3416390d0', 'c427f0563e60e5a3', '505b2853be7ed669', '22d073042c55630a', 'd80814e49be57d55', 'e9feab62e5a92e81', 'a5a0d76dc3b7a922', 'bf640a5c37820405', '74e7377fc43b97be', '8a6c4732fb05ac7f', '46d5053d66888c5c', 'a6c1a7d49f216b2f']; context = [[27, 103], [121, 202], [27, 85], [106, 188], [14, 69], [22, 101], [1, 63], [55, 145], [0, 82], [13, 100], [2, 64], [105, 166], [11, 71], [1, 81], [123, 185], [16, 88]]; loss = 0.016228 low_pass_filter = 0.300
+Epoch 0: | | 26279/? [4:36:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26280; scene = ['a8c6d043e6dfd3a0', '26b7cc5562e364f1', '0be9edb1ba9bf557', 'b453004f4b83ddfc', 'f70d8dc3f5ba58dc', 'e4832b64e5b73784', '0ba8a59b524ec188', '6b8879627b5e72b9', 'ac9e395a9d6c20b7', 'f2fae71744cd5443', '810f74775db97784', '2a57757b60e76cb2', '23239944ae5320b2', '67bfb1615102109e', '1a19d8dc9c410869', '70d4b8db4ed39f14']; context = [[16, 63], [1, 46], [197, 276], [55, 110], [8, 54], [8, 92], [0, 72], [163, 219], [180, 233], [88, 157], [6, 54], [115, 177], [8, 54], [3, 83], [4, 82], [6, 51]]; loss = 0.015873 low_pass_filter = 0.300
+Epoch 0: | | 26289/? [4:36:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 26290; scene = ['af197296b340b564', '5795c143b1adc665', '8eeb3746063d6eab', '10c9fa381736c875', 'ede4c4802598d72a', 'e87a1e494c996a96', '56f7ce9c64fd3c06', 'ee7116001b566623', '0aa17fd0fb5514b9', 'f0e377c4942a922c', 'b72e6e7681041ef9', '1f220c65c37553e2', '32194d0b6f743e1a', '2fa2a9344c2fd426', 'd66aee0937a70310', '9b942484c2d2313a']; context = [[58, 105], [21, 106], [61, 113], [22, 77], [135, 193], [6, 55], [146, 225], [24, 104], [20, 99], [31, 102], [56, 116], [81, 126], [24, 73], [21, 86], [29, 83], [37, 88]]; loss = 0.016554 low_pass_filter = 0.300
+Epoch 0: | | 26299/? [4:36:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26300; scene = ['34c71b535c38bb77', 'c91539af76f9036e', '5b3b21b947b6ac98', '0cdbf9b9bdbdd5fa', '9086929b365d2a3f', 'b651925fbd6adf04', '6c767949ba9cd00e', '343b0cc98e51610f', '6551bb0d65d43809', '6468627058d16ef2', '3a0ea9f832ec69b1', '64578d13c55ab20e', 'e9d8314a8d2d8dc2', 'f8e8aa4850d3463b', '887c31fd60106dc4', 'dd315dbacb3d14af']; context = [[22, 111], [2, 90], [7, 56], [15, 63], [4, 62], [7, 73], [12, 63], [198, 270], [23, 72], [36, 108], [76, 142], [3, 66], [2, 60], [31, 95], [87, 163], [47, 112]]; loss = 0.014202 low_pass_filter = 0.300
+Epoch 0: | | 26309/? [4:36:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 26310; scene = ['d0dbeb1f49cf3a94', 'bdcb6598be7b9526', 'e1bc9239003a5abf', 'cd423ac17f3531b9', '83f1586e36912120', 'e5b61893af5af503', 'e912d7de697c9fd8', 'd8cfd5145f06d42b', '4ce8a0dbb1d21da5', 'e3b1b3e6d12279fc', '513ea4881175cd55', 'cb2ddaa9993016b6', '1898b76cb20a242e', 'fc6fa0ffe5614ab1', 'b486df0b098bcc25', 'a3506d8f0aed9de9']; context = [[2, 59], [10, 91], [13, 68], [1, 63], [19, 87], [1, 49], [121, 194], [29, 116], [136, 191], [26, 99], [8, 71], [25, 70], [55, 141], [9, 90], [16, 62], [20, 76]]; loss = 0.012959 low_pass_filter = 0.300
+Epoch 0: | | 26319/? [4:36:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 26320; scene = ['c55911a4729c28ec', 'e31f45e94eda4cf8', 'fe20982cb46ccdfc', '74d65792ca14e978', 'ac5159b7b9d8ab53', '12e7764d11953827', '6994285e81ff9803', '37fc78ec8f502ca8', '06d29a52b4aebfbe', 'd7ea3145a7a8262b', 'ec34f19ec97cd536', '52b984bea1f78ad6', '3d5b0940a28bb67d', 'd0edef000b9ca743', '0730aaeac779e0c5', 'f5e28bbf33d46b67']; context = [[5, 89], [1, 69], [16, 70], [38, 97], [129, 191], [8, 69], [32, 81], [31, 111], [59, 138], [7, 59], [152, 220], [3, 49], [11, 80], [70, 156], [4, 88], [0, 47]]; loss = 0.022039 low_pass_filter = 0.300
+Epoch 0: | | 26329/? [4:36:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 26330; scene = ['f8e7bd9e403fc04a', 'd34926c73ae1277e', '07b60db51a783703', '252ab646bcd51b88', 'd3a0a89d951a6101', 'd73c09ac36dd02b7', '958596ec1ee3a839', 'be8fca24326c458d', '360fb277b32a0fea', '863466beea29e2c8', 'd56cf1bb0dfd5d92', '7ff6b913db3bea5c', 'e0ce9bbd1de4e3f4', 'dcdf61bc56f26a25', '3ff92767e37eb62f', 'e0c06d9954d16a41']; context = [[75, 121], [142, 192], [4, 67], [26, 116], [161, 223], [15, 63], [21, 110], [115, 186], [13, 82], [21, 78], [30, 100], [1, 76], [56, 130], [27, 98], [51, 116], [0, 54]]; loss = 0.010562 low_pass_filter = 0.300
+Epoch 0: | | 26339/? [4:36:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26340; scene = ['8478246d5750ab36', 'a39b2bad603033d7', 'e82133b7484e9dee', 'ca9634efa2e51dfd', 'e8ab766619331d3b', 'aa65023359f54a83', 'c37b7e0185f4f065', '176c4f096dad0005', '54d0b9c20694ae47', '8f671fe0c0ce0f4c', '2c7eeeabd8741a8b', 'cebca48cb739cd63', '3664b674b6366549', 'b18ea5dbd9802931', '8ef506222a3c3e6b', 'fbe8831635df9b7d']; context = [[2, 65], [67, 136], [8, 97], [4, 85], [8, 55], [195, 268], [31, 93], [14, 80], [13, 91], [58, 138], [5, 52], [66, 150], [94, 177], [8, 75], [16, 64], [84, 145]]; loss = 0.014267 low_pass_filter = 0.300
+Epoch 0: | | 26349/? [4:36:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 26350; scene = ['0a6608f992d052c9', '6adb937f72020aa9', 'ace3b09a2a2be08b', 'e5036ebafb2c7a4f', '1f25aecc650a6852', '8efaab78c3e2388e', 'e658243703c9a718', '1ccbb12d8c77d39d', 'bbaf39151b2da748', '34ba90ddf627908b', 'ca31f5df8294e2ef', '212f736c5bd2cba5', 'f49334b723f7ee98', '5dd1c7fc822c0b3f', 'baa5664b5ea5348e', '86f694603e158bb4']; context = [[12, 74], [10, 88], [166, 235], [38, 127], [0, 63], [13, 84], [211, 257], [72, 120], [11, 73], [12, 71], [16, 89], [147, 217], [0, 83], [10, 78], [2, 51], [78, 131]]; loss = 0.013813 low_pass_filter = 0.300
+Epoch 0: | | 26359/? [4:36:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26360; scene = ['6a301b6d533065f0', 'e41c6ed43457b590', '88caa929eb27afd9', 'a90e228525bff876', '5cad63fcd9593f65', 'ff022319df48586a', 'b9347cd2020634b0', 'f026933010d5a6d3', '19f8aae84d4262bb', 'aa0340ace90055e5', '92c3585d178183e7', 'ea429efd4134679f', '78632056dc5a1447', 'f8ca559f76485ab5', '4a94d8357726aa7c', '89820bf5286f55ce']; context = [[54, 129], [31, 108], [42, 121], [69, 118], [47, 119], [50, 95], [103, 192], [34, 94], [136, 191], [2, 61], [0, 55], [17, 86], [146, 198], [7, 76], [1, 47], [13, 74]]; loss = 0.012705 low_pass_filter = 0.300
+Epoch 0: | | 26369/? [4:36:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 26370; scene = ['de8327202222574b', '6fa7c62ef1f2df71', '97c5d79bc0c119e7', '3231aca99e0a8889', 'd0e565ee49890e94', '56361ac6c313a5f8', '3e9b0aef46871757', '7795949370ad0013', 'c6066f922a2b4fe0', '303910b1146da10a', 'fcdc78b1c1978874', '862d687be565f540', '7ab87cae327184c3', 'a31eae8ce8a4dbfd', '8f242b96af5a7005', 'a8b72199cf4cf5e2']; context = [[65, 113], [1, 61], [86, 147], [53, 127], [58, 139], [32, 88], [34, 93], [0, 60], [22, 100], [3, 86], [14, 77], [194, 270], [94, 141], [14, 103], [52, 124], [14, 103]]; loss = 0.014792 low_pass_filter = 0.300
+Epoch 0: | | 26379/? [4:37:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 26380; scene = ['3b49c646bc82c074', '2985de9108cd755a', '856d6c28878d2055', 'dcc4e27d1e539a86', 'a16dfe2ead47a813', '67dbf5b82e579cb2', '9d81335bc69b18f4', '51a316721b821677', '64e52fb34844d2db', 'b07850da36ee6d48', '66bdca6d2d18a969', '5aaf512e0f84bf1d', '26aa086d311dd0e5', 'd4cac1ead89742e6', 'f1ed436c334f8f56', 'a201ebe0823fc5f7']; context = [[19, 69], [7, 64], [3, 77], [202, 269], [3, 76], [66, 120], [26, 107], [0, 71], [111, 172], [0, 62], [56, 118], [134, 208], [129, 199], [21, 82], [86, 176], [24, 70]]; loss = 0.015620 low_pass_filter = 0.300
+Epoch 0: | | 26389/? [4:37:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 26390; scene = ['83f4beb59ba6a404', '06a4bfd396009736', '574e308d294ac41a', 'efc29d2b260db828', '385c572550651012', 'c98915e19ad30193', '584e691ee4eef874', 'f1f45ac7469e567a', '7c41d64533a693cd', '834d220fc4260494', '309cc5b6851a98d2', '60d14e4f5c6916d9', '2346140975ea3288', 'd2fb4626093850c1', '619d26c6b6b83d29', '0675ee6f37b8a47e']; context = [[102, 178], [10, 57], [51, 127], [157, 227], [125, 211], [0, 65], [90, 162], [66, 136], [76, 130], [64, 129], [87, 139], [43, 132], [137, 200], [38, 105], [117, 202], [28, 117]]; loss = 0.014403 low_pass_filter = 0.300
+Epoch 0: | | 26399/? [4:37:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0train step 26400; scene = ['149180e5808ca3c0', '7ab6a3bfcbea506b', '2c2bfbbf301cfd33', '699a84e76fbb34d7', 'c995765e68129655', 'f44b5abf07b1313f', 'f32c123eb81c5f5b', 'f6d3ecda8aa336f1', '667e6be27bbb7fc9', '837cecf3380270a6', 'a9c612e54be0a3cf', 'e8cfb5eb20a5c0ee', 'c7170f568d2bf772', '39e85d8e0e948e66', '67cc762eeb7f36a0', '5e6c8b241ce519bf']; context = [[9, 63], [0, 54], [1, 50], [177, 254], [68, 128], [4, 51], [75, 162], [5, 89], [215, 274], [1, 72], [84, 155], [53, 113], [19, 74], [29, 115], [125, 200], [13, 68]]; loss = 0.016347 low_pass_filter = 0.300
+Epoch 0: | | 26409/? [4:37:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 26410; scene = ['2b8fa8399b03fe43', 'ac614ffc64689343', '1470e8e5dcb89343', '4d994aec842911af', '4ddfd1909ff161b0', '287e328a3cfd0a3f', '48e8066af70d253d', 'bb43b136a8b948d1', 'fa8905506230fe0f', '6e18ee33a66f3d17', 'ab3efab32f6c6653', '6014149afc820ee7', '37dce16fd81d0a43', '4364178b0f95b1b1', '887c0ef17477aa42', '88a941781cc6df36']; context = [[10, 60], [41, 115], [127, 175], [25, 78], [79, 168], [209, 258], [4, 54], [44, 115], [100, 163], [105, 189], [4, 81], [36, 95], [14, 59], [23, 111], [127, 211], [5, 74]]; loss = 0.014572 low_pass_filter = 0.300
+Epoch 0: | | 26419/? [4:37:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 26420; scene = ['9a5a08896f7d396b', 'ea4ee011c4990615', '8ea612b69d6a5c8d', '951010da4cfe2107', '004c65679ce85f03', '1986824dfd771829', '3a6d6f368b8950a7', '760f7cdb1b176614', 'a34309c2982d3cb5', '996350f54cc39508', 'f17255c463f8820b', '1bdf02f43d00e631', '0d479066d9819e86', '9fed4987d0de680d', '8a116b2e6b29679b', '0ddbb5e6ad59fbfa']; context = [[0, 56], [12, 57], [126, 216], [0, 48], [2, 84], [68, 150], [42, 106], [128, 193], [28, 106], [136, 185], [98, 169], [92, 173], [2, 88], [112, 185], [2, 92], [63, 127]]; loss = 0.013240 low_pass_filter = 0.300
+Epoch 0: | | 26429/? [4:37:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 26430; scene = ['9d225d862634015b', '85ccc785967a3105', '6eb91624364aaa65', 'ed4f0b586c17396f', 'fd2dfd73f01c7262', 'b971447d48d42607', 'f36ad32e649117b0', '07659a0418a472c8', 'd5835fb2f9cdf90d', 'd204a75d5c724077', '180608332f0b1b2a', 'ac5df5f432218bc1', '75e5ba7e7fb64fc0', 'e53ec34eab835d44', '2225123ef31a93e4', 'd0aafe6b7593a8c6']; context = [[162, 249], [37, 105], [19, 86], [0, 58], [31, 91], [6, 83], [9, 54], [5, 73], [88, 159], [34, 91], [39, 89], [1, 47], [107, 197], [158, 244], [55, 130], [20, 80]]; loss = 0.013856 low_pass_filter = 0.300
+Epoch 0: | | 26439/? [4:37:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 26440; scene = ['fd84675a5268e518', '9d46e65b9edc9c15', 'abf952722816c296', '2f47027fac0c598b', '798ed35225d5c255', '5e7040c6384bdda7', 'fd36e02a115899ff', '3fd549f7eef1c12b', '4a08d8aa17ee55a3', '7f5e74372632e88a', '289a0ef9678c7c70', 'c540fde60000698b', 'e575b075dd0ff624', 'f7c2f06c4ad6d7d6', '9a8f7427a9e8c9c7', '0efe197d25725842']; context = [[1, 89], [23, 76], [2, 70], [4, 56], [8, 57], [13, 92], [19, 68], [23, 106], [77, 143], [2, 58], [79, 135], [139, 200], [1, 77], [66, 146], [16, 96], [25, 91]]; loss = 0.015443 low_pass_filter = 0.300
+Epoch 0: | | 26449/? [4:37:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 26450; scene = ['4adb784a75523d30', '5f8f8bae3e8c4a23', '7f19608dbd224ae1', '69aa625f9673c808', '8e9f01760ce55500', '9c3cedeaa32f5a18', '107282574d3d3d81', 'a26506571c3951f0', '0e3f607337796809', 'c3a3738c8ddb0e85', 'abe2e633aa6852c5', '477268eceff12807', '29a281fc3ab05630', '15482bd0d11cefd3', '60cfea5a1bd567f2', '469357405bf85934']; context = [[60, 110], [0, 54], [89, 154], [8, 79], [1, 69], [60, 124], [10, 92], [14, 91], [0, 71], [25, 73], [4, 83], [0, 46], [71, 151], [7, 75], [25, 114], [72, 125]]; loss = 0.014634 low_pass_filter = 0.300
+Epoch 0: | | 26459/? [4:37:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 26460; scene = ['899aae28d5e32d0c', '5d0a3ff0e60ec517', 'ed7301d62809aa84', '35c9bad68b2d0c26', 'd9df345fe1518eec', '846926f897427263', '56fe6095311b0b06', '01bdef4237b05b3e', 'ad65c37e0613e84e', '88228785b1d84b5e', '9939b4381aaf7427', 'b90e9986496ec9dd', '01e5a931a368c08a', 'f94c0f8d82c1bbfb', 'b47d79c158df940a', '283f97b69a040590']; context = [[9, 54], [64, 138], [0, 78], [40, 115], [68, 141], [34, 105], [8, 54], [5, 58], [7, 53], [10, 70], [92, 166], [103, 156], [56, 123], [10, 100], [0, 50], [143, 218]]; loss = 0.012154 low_pass_filter = 0.300
+Epoch 0: | | 26469/? [4:37:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 26470; scene = ['42c335ae9a3feb5d', '8f6162ccf652ebcd', '49f810b54cdde3f0', '9542770bd8c00ff1', 'dee0cb028cfecd6c', 'a3d1a3c300d2d4c0', '05739e00a9d4b004', '49d0d81ca5d7a50a', '0af95693e0c2a4b3', '2cb7980a10ba7dd9', '8d10bed76bea9ad9', '1931d5f8d01cf901', '8b348d32ebb45bb6', 'af951254b2254af3', 'e332dd5c810753ef', '7b05f307746ab16b']; context = [[38, 90], [4, 91], [19, 67], [59, 121], [20, 100], [19, 79], [10, 79], [5, 77], [185, 240], [64, 148], [37, 109], [118, 196], [19, 106], [62, 119], [137, 213], [18, 63]]; loss = 0.017769 low_pass_filter = 0.300
+Epoch 0: | | 26479/? [4:38:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 26480; scene = ['ebe7deb04669edf3', '7ee233bf0f5ae3e4', 'a913e7af2361fa6f', 'b854657c0b1d0249', 'd53e34588589505c', '18d54ee95eddac1a', '3965a7b13519ef13', '3de1498cc3dc5051', 'aeb3b560bf97252a', '3b1525a730772be9', '5e5f701fe882a93b', 'd71857a07329981c', 'ea4dc2ebdb122af5', '5e90ad5c785214d6', '70e481732168c917', 'b5af5097b8dcc2ad']; context = [[10, 85], [85, 144], [23, 81], [9, 54], [5, 54], [0, 47], [211, 261], [37, 86], [4, 50], [16, 62], [11, 72], [12, 64], [27, 117], [26, 102], [0, 62], [24, 110]]; loss = 0.011371 low_pass_filter = 0.300
+Epoch 0: | | 26489/? [4:38:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 26490; scene = ['79a86c921d097b29', '01e18c6018c6b626', '00d3066d9cf11672', 'c752624e2b00c2a9', '90a26cc3b761f9a3', '95a77b3b3c114b81', '95b827d6950b4dc2', '996e01da9ff776d4', '2023c60113aafe48', 'f2d32d4308aaf828', '1352e11525407ad0', 'ea4d05de31555896', 'b948ce0680ae4e32', 'd673c1599cd086b4', '8b950107c02ffaa9', 'b79cba09d12f8d24']; context = [[94, 147], [105, 166], [170, 236], [21, 79], [76, 133], [23, 95], [105, 175], [3, 49], [7, 90], [9, 59], [0, 45], [51, 105], [0, 74], [15, 67], [15, 73], [12, 67]]; loss = 0.012426 low_pass_filter = 0.300
+Epoch 0: | | 26499/? [4:38:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 26500; scene = ['4fb34e6488c11bd5', '6d8bfb763a4b5db3', 'df23de9560b63c4c', '438f0c1e909944ac', '492c6c5c8c0d9508', '9b36e2e7093dd849', '1292ec9d0160acdf', '33fd5bff0139ff53', 'c10131c3fd427443', '06dde42b6d475689', 'f03956cd8007a3e1', '0a88cf91092f0725', '85c51b88719b9728', 'e3ba7f1df93744a7', '6d952c7bf6673b7a', '2e05ffb80969b9b6']; context = [[75, 131], [8, 54], [83, 145], [15, 72], [5, 91], [50, 126], [18, 80], [16, 70], [180, 237], [4, 55], [62, 149], [176, 266], [0, 45], [3, 76], [2, 92], [117, 173]]; loss = 0.012791 low_pass_filter = 0.300
+Epoch 0: | | 26509/? [4:38:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 26510; scene = ['b555dee765bebaa5', '79a8e4b0e9779b55', '6b1d9b80f187b36a', '5b2576a9a8cbb64a', '9c1b2b03cba7eb75', 'a08eb87db37b694a', '7d7ccef156277c10', '1fdfacd97bb87f76', '30ac659e53e1ac13', '5c77004b82dca2ef', '62fba06e80fdc73c', 'adf2d85c799dc1a4', 'c796914f8f489602', 'a9ffa4a8880baf92', '541aa65a8c4f173d', '8ff5f069510b07d7']; context = [[40, 123], [3, 49], [15, 85], [5, 75], [14, 75], [20, 102], [1, 84], [17, 99], [57, 103], [71, 154], [73, 134], [152, 226], [39, 105], [9, 89], [13, 98], [81, 141]]; loss = 0.015803 low_pass_filter = 0.300
+Epoch 0: | | 26519/? [4:38:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 26520; scene = ['d44961c44fa2d3d0', '475cc5043cbf31f9', '3eb10f91b03318e2', '9399f9e7caae9a7f', '4001bca52ac28925', '5b7ab1a8989e1729', '349c6cc920ba7868', 'f9f50b21184a798c', '7ac2d4e89c0a3e7e', 'aa97c8716d46b254', '9e747965b6764db6', '83014d11095af16c', '33bc686989fc7faf', 'c8cc4d70a689f86b', 'dd16005c1b581c0f', 'caeb5fcbcd360109']; context = [[48, 111], [50, 113], [41, 98], [53, 104], [6, 63], [3, 65], [41, 104], [132, 221], [186, 266], [61, 135], [17, 83], [75, 134], [10, 72], [11, 79], [39, 116], [2, 74]]; loss = 0.011858 low_pass_filter = 0.300
+Epoch 0: | | 26529/? [4:38:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 26530; scene = ['27bfd6d0353eeffa', '15aa80e12e6979f3', '58445fdf7117ea45', '41b75f50a603fe9b', '5b8d4a4eaa7f1b98', '1c39941bc95d3456', '5e1da375ded17ca5', 'ebc54fed0e24fa6b', '47a80987944d4dd8', '41ce692db2b7b72e', 'c00094fc65365c02', '58e8608524c8af53', 'c6335bb1ed4feee6', '771aa992eae9a574', '49d6b79b2517c1ec', '395b94f7cf747d1e']; context = [[42, 97], [103, 185], [5, 74], [103, 175], [42, 92], [3, 48], [28, 109], [1, 87], [4, 84], [194, 258], [15, 65], [2, 59], [3, 61], [1, 69], [29, 101], [58, 123]]; loss = 0.014399 low_pass_filter = 0.300
+Epoch 0: | | 26539/? [4:38:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 26540; scene = ['727dd595ef50b48c', '6037096f00b3bcf7', '9ad1ef56f0d00649', 'c6e6428a81100113', 'd7a1d567bba773a1', '0117ac93ca7f4348', '280830338cfc4713', 'f82e61bd6f3b60ef', '402bdd40ddbe41bc', '403d96fa5b051cd6', '54a626fb009edb5a', 'bacacdda6de65407', 'ee3a19d2d51eef93', '459c2dbb397fe8c0', 'ce5d6f2eb6fe1b81', '03aa892f294f56ed']; context = [[14, 66], [7, 61], [45, 94], [87, 139], [25, 74], [70, 135], [10, 56], [1, 70], [6, 58], [8, 55], [8, 76], [121, 169], [10, 67], [9, 70], [189, 238], [64, 136]]; loss = 0.014781 low_pass_filter = 0.300
+Epoch 0: | | 26549/? [4:38:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 26550; scene = ['7529ef84b12cd05c', '504b67ca30edd1db', '674f97fbd51d9549', '91e8bd693b1e76f5', '8047b3ec381c562e', 'dea4dc2d8a2935cf', 'b6509b872612bbbe', 'a8afd0ccef504316', 'f5a3eca31fcdabf8', '83149280823506aa', '592f02d9a81deedc', '9de7790c7be4dc5b', 'e9d11d18a0abff33', '92362c407ae31300', 'c01ce746e8786ee6', '9837661a38ea63e5']; context = [[12, 78], [46, 116], [4, 84], [28, 91], [17, 102], [49, 103], [194, 267], [207, 259], [2, 90], [4, 82], [9, 75], [23, 101], [26, 73], [14, 61], [31, 92], [5, 76]]; loss = 0.014044 low_pass_filter = 0.300
+Epoch 0: | | 26559/? [4:38:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26560; scene = ['304bcbcf2387ac77', 'fdcf970f3b8a3018', 'd8687fef5b3ec275', '7d747dbeeac960e6', '47c676b06a3833ab', '8f56fb936a827d6d', '3fd762f6877a9c15', '39efe3569042d482', '48eb62d05fc8104c', '57f635805bc981dc', '904340756df15268', '079f05d5a14d5034', '38b78311ed6b92e2', '34ba90ddf627908b', 'baa5664b5ea5348e', '85e1e791eaaaf4a9']; context = [[2, 61], [30, 84], [14, 82], [49, 129], [82, 142], [33, 89], [142, 190], [62, 137], [48, 106], [20, 109], [4, 61], [9, 77], [36, 106], [28, 74], [4, 50], [44, 119]]; loss = 0.013286 low_pass_filter = 0.300
+Epoch 0: | | 26569/? [4:39:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 26570; scene = ['a56d066178264232', 'ca9b53deb1359193', '57c4c871ad8cb634', '5e6e2a1a1c382c52', '9e58f95fd4a31468', 'ac56b8116af8c536', '2e2409e5ee0d8233', '861bad9244603e85', 'c175666a466f77e1', 'c70e8c5846b50b54', '8c8903dd71f96459', '153774d1b308ca71', '7e0a4040418d94bb', '3e0232925959536b', '4b612eca55fc46fe', '411e56c382ab68bd']; context = [[21, 100], [0, 79], [13, 77], [165, 219], [24, 71], [26, 89], [10, 85], [0, 58], [11, 76], [60, 106], [40, 100], [0, 48], [201, 255], [32, 84], [5, 61], [121, 189]]; loss = 0.013783 low_pass_filter = 0.300
+Epoch 0: | | 26579/? [4:39:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 26580; scene = ['92628ee5e4163c4a', '8f04ddfa3b4e7c25', '0132c785e29d4afb', 'cd0fd8b0c6223804', '173904ae7dc21f8c', '9d4c14c422d92f43', 'a10eab118e2d8654', '7a72da90f59e10b0', '287641eb154f6cce', '51a1a9e840bda41d', '7c710ef6368c4455', 'bd6fcf34fb924f75', '1cbd07d0541ee2d9', '673c44a2c8176eb6', 'af8061cda51b0282', '57eb50f57903c582']; context = [[14, 77], [29, 109], [2, 65], [1, 62], [0, 90], [33, 94], [191, 249], [15, 93], [12, 71], [49, 101], [21, 82], [7, 71], [91, 141], [13, 91], [8, 64], [10, 93]]; loss = 0.012685 low_pass_filter = 0.300
+Epoch 0: | | 26589/? [4:39:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 26590; scene = ['89dbb53fd933d873', 'd3f9fbcfe7972afc', '65498b8de03a0b2d', 'cc1bcd4f8463b2ee', '26a01fb0e2976fc4', '32050bb188c50d62', '8c4188b975dcb7f5', '6f109232d9beb036', 'fb66bb9f72b6434e', '930341b45d10af4f', '9ab83ba6f3dee716', '8a1d2b081aa7649e', 'b9c0beab80c28377', 'c90a6a1367ac2983', '8e704b8171b2dd7c', '917be2bd3c7a28d7']; context = [[2, 62], [13, 89], [9, 59], [14, 101], [31, 96], [55, 140], [96, 172], [12, 61], [33, 91], [2, 64], [11, 69], [175, 244], [1, 58], [1, 55], [4, 55], [2, 84]]; loss = 0.015398 low_pass_filter = 0.300
+Epoch 0: | | 26599/? [4:39:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26600; scene = ['cd0fcb3d5431cb79', '784279860f251724', 'f93670c72163c7f5', 'e51c391ea5baebec', '3cbf8cd5a0942182', 'fa9ceb9287bcad19', '16af2b590367a485', 'b3bcd04c589274ad', '602ca1341a14bc28', '2a5dc81550340f67', 'c61b981dbf13061f', '32a0b18fedacbcbc', '5a71e24754ea107c', '25ea8df146574b53', '1cfc5fe62ca5877e', '8799a3d452838202']; context = [[16, 82], [80, 139], [7, 87], [65, 121], [183, 253], [193, 265], [0, 62], [15, 86], [1, 60], [34, 104], [9, 84], [34, 82], [0, 62], [8, 86], [66, 130], [75, 136]]; loss = 0.015179 low_pass_filter = 0.300
+Epoch 0: | | 26609/? [4:39:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 26610; scene = ['7f43bd219054cb61', 'ea9527d030b6ef05', '1ba032383d3bb085', 'a4907d1efaa3785e', '7e266b3192651510', '5f55eb6c1fc4b224', '25404e3588d54e14', 'dd26d8f5b166f274', 'c5fd05e61423e739', '53701cfab9d31b4f', 'd8d9bcbb2c20cda7', '8f12d727ce599e93', '51a39b25696c0c87', '70c416d773ef02f7', '465f47645f47fc91', '824e8f2ce491283e']; context = [[23, 103], [168, 236], [10, 75], [67, 155], [7, 58], [1, 51], [90, 173], [5, 55], [111, 172], [44, 115], [12, 101], [21, 70], [14, 75], [59, 128], [46, 132], [20, 105]]; loss = 0.013051 low_pass_filter = 0.300
+Epoch 0: | | 26619/? [4:39:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 26620; scene = ['25daa0b79515aba5', '51289aa1b1943159', 'baf2bd07d76df93d', '2824dd170b15dbe3', '89cbee6e1a545e3c', '716b5a321774e829', '03e2367ca6e441ed', 'e08818e4ab5232b0', 'b1445eea64734834', '5ac2a4b054c3af89', '3689a99fb9aba35b', '7e39808967de46fd', 'a186d207ceb04a3e', '4224582c00348ddb', '27ba4ece5f7f5fb0', 'd6d5ca952b430268']; context = [[3, 60], [22, 67], [41, 100], [19, 68], [1, 88], [2, 82], [1, 64], [79, 127], [70, 141], [170, 254], [22, 83], [2, 66], [5, 84], [9, 70], [3, 61], [1, 74]]; loss = 0.013480 low_pass_filter = 0.300
+Epoch 0: | | 26629/? [4:39:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 26630; scene = ['7f7331d1f9e876cc', '9ccd515a79d1f365', '85e4288441eccb23', '7c50a3e751ebfa5f', 'fb1bb2f9da83193a', '9f7fb6a4d5bc5b5d', '598405d8c5ccc93e', 'f3eddf3f21377715', 'ced7faeed5e1b387', 'feb37a1baecfb69b', '17d19d1d5684d370', '6cc3d1993764ca84', 'f8b0d921c30db48e', '826d66774dca5653', 'bee353d655e1bce8', '388003e3d9297779']; context = [[7, 78], [10, 65], [84, 171], [58, 144], [5, 56], [2, 75], [10, 73], [10, 60], [25, 83], [46, 116], [2, 48], [78, 152], [3, 55], [76, 123], [111, 201], [0, 56]]; loss = 0.016846 low_pass_filter = 0.300
+Epoch 0: | | 26639/? [4:39:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.0train step 26640; scene = ['43948e3fd4685146', '941efd0cb07b15a8', 'fb5aa8d8a45edf21', '131ae53ccea8b6bb', '617def8550442d20', '4d37415c5fff395b', 'bfbed04ac874444c', 'ffe6d2b64af58da7', 'aec362125b51a0eb', '2151d155433a24b8', '6be96a2ce575c89a', '4931105c27ccd2b8', 'd3050899f139615e', 'ee8a4c0cc4c523d2', '3fe4e74e7531c300', '241d717da4a8eb58']; context = [[48, 99], [34, 111], [118, 165], [1, 82], [7, 90], [22, 107], [75, 155], [60, 122], [53, 106], [3, 91], [12, 79], [0, 55], [54, 110], [74, 154], [18, 67], [2, 61]]; loss = 0.014677 low_pass_filter = 0.300
+Epoch 0: | | 26649/? [4:39:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 26650; scene = ['a659f0d8f7a8fcc8', '1f2eae1083f108ad', '401ce8a065750160', '8cc2ee4703ad7192', 'f12189d951f4e8d1', '0ddbcb756905070d', '7a33856e537d35ac', '4a178a4f32b0977e', '2afe2b1d0cee0e75', '27cc96a022970ec1', 'b373eeb00c590d9d', 'eb2089db75a8c8e8', '1bc87f3755e5876a', '629e12b1a808926a', '36d85b0f38055e14', 'f6f1f51bc8538b9f']; context = [[12, 58], [35, 124], [4, 63], [14, 92], [2, 71], [2, 54], [54, 109], [51, 139], [12, 71], [23, 113], [12, 92], [34, 110], [2, 58], [5, 61], [22, 92], [2, 47]]; loss = 0.014974 low_pass_filter = 0.300
+Epoch 0: | | 26659/? [4:39:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 26660; scene = ['a4d6ac11bc4bba53', '987b8559b4128b69', 'ddb77cfff0de0fc4', '7482427ddbfafddc', '037a4d28429ecb0b', '46f7ce5962d1e536', '66fbd45f9b7a5685', '9f9974c348a7706e', '74c7fe77cbd00506', 'b145a55f25369072', 'fd99963ac0e17872', '27e1e4d071c8e6af', 'af036de282b85051', 'cfee974b9b385e8d', '772a9e2837143879', 'b6bc2793bbe942c7']; context = [[89, 134], [3, 53], [40, 126], [1, 51], [21, 105], [76, 122], [5, 82], [75, 150], [86, 169], [190, 259], [138, 192], [31, 76], [180, 252], [30, 115], [7, 67], [103, 168]]; loss = 0.016091 low_pass_filter = 0.300
+Epoch 0: | | 26669/? [4:40:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 26670; scene = ['c5dfde6b20759428', '6ba5219cfc2dcf6a', 'dc8c9c29844a8b88', '944ae6c07bd328d6', '97f5b0df30fe5b41', 'ae4c65fb1d8619d5', '8db7e7f866453215', '15f2988fc979f6ff', 'c84aeac3da716986', '5b87e5dbad309e09', '399e431c92be9702', '6532d43d92536a3e', 'e85713019ff14680', '7df74c7ca3dd7c47', '6e4a8fd1b37c6737', 'e3fd1c25a23221fa']; context = [[2, 67], [0, 70], [19, 67], [17, 66], [39, 87], [99, 145], [17, 92], [5, 53], [124, 212], [30, 75], [81, 152], [172, 217], [59, 137], [2, 61], [66, 143], [3, 74]]; loss = 0.012345 low_pass_filter = 0.300
+Epoch 0: | | 26679/? [4:40:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26680; scene = ['3ec63a7f8feaee08', '17d0ebb4232549dd', 'a0aa55abb59b70e2', 'f36581e435eb92a5', 'ea70c43a5bc7e699', '5c4a9e9bb823c7c0', '771dd7ae3eb78329', '5c2bbaefd1f103b3', 'ae7c39515402836c', 'dd7863197555a288', 'e60cf7196454b27d', 'fc962e17755fe635', '97258bc8c51b4d85', '78081484672cbb54', 'a7d417a7a9fcfdbb', '0468b7da2eafae6f']; context = [[32, 118], [94, 143], [22, 93], [4, 55], [13, 79], [92, 175], [88, 140], [10, 85], [60, 142], [7, 67], [46, 106], [5, 77], [10, 88], [61, 126], [5, 61], [46, 113]]; loss = 0.013455 low_pass_filter = 0.300
+Epoch 0: | | 26689/? [4:40:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 26690; scene = ['21d230fd6f457b42', 'c81f928b6b809020', '60f32560e12841e0', '3b492a7b903f8ae9', 'e3aa4a533c220b55', '09631635a1bb884b', '1194b88a4545fcf6', '2f381854e846a25f', 'ad1bd20293a5304e', '7fdfadceb9992370', '2332a3d013e20857', '094eb6b625d8c18d', '1d29e9eff21f8a0d', '6870462a6b42954c', '4f9cb8e2891d1d08', '909a19af70ca780e']; context = [[17, 90], [2, 90], [57, 130], [100, 147], [65, 130], [67, 122], [22, 95], [33, 94], [97, 172], [42, 111], [27, 87], [81, 151], [4, 50], [9, 86], [5, 62], [1, 89]]; loss = 0.018533 low_pass_filter = 0.300
+Epoch 0: | | 26699/? [4:40:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 26700; scene = ['3dcd0b8aeec5b011', '68aec1265bd68029', 'fcf2631fb72f0cbd', 'c8d937ad5508c955', '7b41774e1a45789a', 'da537cd2108e4514', 'f45c572485cfefde', 'f0c94e73b90ded09', '82cb337cbdf0bec5', '2e064e480b80e0c5', '9566fd91f2dbfc6f', '812572d41fa01fde', '982e78e4de84016d', '32a48aa0880e2c07', 'c5041e8f980b93e6', '6484999915205218']; context = [[28, 80], [104, 188], [0, 46], [3, 48], [11, 72], [39, 113], [4, 65], [79, 129], [16, 76], [148, 201], [67, 141], [3, 71], [20, 81], [1, 75], [158, 238], [3, 63]]; loss = 0.018583 low_pass_filter = 0.300
+Epoch 0: | | 26709/? [4:40:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 26710; scene = ['59718b64a18ffde0', 'ad9f3fd22d8921da', 'baf2755c8de01c68', '8a1c59ef6dc8d6f6', 'c91388cea8493586', '87c2112b56d71296', '448bddfa334ae964', 'e984c17678df943b', 'e5cae04451ba0432', '0b6430c9c86ecd2b', '8ee74cce1ff8955b', '4342bb424d03acf7', '9f889b4c862d5062', 'db76f48be2e799cf', '03db6159e527c1b7', '36448d76987953ac']; context = [[2, 74], [109, 188], [4, 70], [0, 54], [12, 79], [49, 108], [78, 144], [14, 93], [4, 75], [54, 127], [1, 54], [55, 102], [6, 57], [2, 63], [7, 92], [26, 98]]; loss = 0.013693 low_pass_filter = 0.300
+Epoch 0: | | 26719/? [4:40:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 26720; scene = ['41b0325496a3b8d1', '294695369d28f90b', '7d1d5f8c68d8e947', '196346a9ac3789f8', '67c64784fd756078', '7e2fc4af80b98644', 'e9f46f3439e26195', '00513a2e0e404c0e', '1d431b6ffe2099e7', 'c61833935bcff76a', '5ab66b300deaf02a', 'b60f5b437da096ec', '7dd499cd4bd4ec59', '39d7d08e52c00f81', '69752083488aae44', 'ac56fc9d958777ec']; context = [[70, 117], [74, 125], [0, 70], [216, 271], [60, 127], [17, 65], [56, 121], [102, 158], [13, 85], [38, 88], [27, 107], [48, 108], [4, 58], [77, 143], [107, 157], [6, 90]]; loss = 0.013484 low_pass_filter = 0.300
+Epoch 0: | | 26729/? [4:40:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 26730; scene = ['0f7d0835b1820906', 'ccf5c765a64d7353', 'af0c910f1fcfac26', 'fe76916bbbcc9bfd', 'cdad2b86094189ce', 'c6dd29c2849afc3b', '91569ae4b2a46efa', '07c292c4e24e752f', '0c9bb46be874cb45', 'd1053e2e2fb43380', '82601096ac275780', 'ef294337f32250ff', 'a0a1ff4fa47cfc1e', '9364344ee7f3c7e0', '6859d00d1fc05309', '2cd0fca69890c724']; context = [[26, 91], [81, 156], [3, 74], [5, 71], [3, 81], [16, 68], [0, 55], [120, 169], [160, 213], [13, 64], [4, 57], [15, 105], [16, 76], [24, 76], [3, 48], [13, 59]]; loss = 0.014931 low_pass_filter = 0.300
+Epoch 0: | | 26739/? [4:40:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 26740; scene = ['45cb58d7e0b50485', '9f2cd7c89b5ef760', '499558d850da5b71', 'eeced632fc23748a', '769a9c66ca476729', '4d2d4cac492dbf1d', 'c9b99089d58b0e8f', 'a097ff3a44a454a0', '039e7bca66766dac', 'a2a70cec010c569a', '2918f97ea81e5bdb', '40ba295ab91cd9f7', '60ce95f2ce40287c', '01e729b5c5b13683', '2ba90ba797880f41', 'f0cf2700a57c1a8f']; context = [[30, 83], [10, 73], [31, 101], [4, 54], [52, 141], [6, 53], [0, 45], [66, 128], [7, 76], [40, 88], [11, 83], [0, 48], [21, 97], [1, 63], [3, 49], [11, 83]]; loss = 0.014316 low_pass_filter = 0.300
+Epoch 0: | | 26749/? [4:40:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 26750; scene = ['4067dc3e53c02908', '3f73de068d60f46c', '26082fc7b0489437', 'db4676b09d10dbd5', '7a2ebd077df75740', 'c2867dde9ccb0b7a', '52a4f713b01a5a58', '4e4199248d302a7d', 'c647b5c9b5ff2e0c', '56660fe55435e0f3', 'ae8188346d8f99ac', '21a23abebca8c840', '8d15acb20b25a61d', '52cd3009ff497d91', 'fb4b8547b815c420', '7ccb61ba49c73caf']; context = [[5, 79], [6, 65], [84, 152], [1, 58], [1, 69], [0, 53], [33, 80], [9, 95], [32, 95], [112, 157], [9, 67], [2, 64], [18, 66], [45, 102], [14, 83], [27, 87]]; loss = 0.012356 low_pass_filter = 0.300
+Epoch 0: | | 26759/? [4:40:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 26760; scene = ['c09c7a3aa455fd4f', '4b9dbf758bb580bc', '7ee761e91dad7f2d', '87dd03622b1589ea', 'd2bf1f7a52ad1f7e', 'cf6e883dc02f0d66', 'ad1d0abc28a42585', '9e732b6f83edaa38', 'a8ae95c162e03289', '089cbe98ad3beddc', '655234c2b421904f', 'ad37a470893adb0c', '44d3acc81bf24865', '4379921e6438fdac', '76f53a277c8e50cf', 'd4c8ef2d288fd1bc']; context = [[167, 240], [47, 100], [1, 62], [48, 118], [143, 194], [6, 71], [18, 86], [87, 141], [0, 70], [38, 104], [1, 72], [66, 111], [111, 200], [22, 101], [2, 74], [38, 100]]; loss = 0.014519 low_pass_filter = 0.300
+Epoch 0: | | 26769/? [4:41:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 26770; scene = ['0b0f20dd486b208a', 'c043b0c770a81f04', '40e1ec4d9aa2c2c5', '29c94043de3f3b8a', 'e4823869577d56d8', '74e7cf0c3f2ff8f2', '5b19f041d0e2b692', 'c8189209a5831b8d', 'c16ca0438aa79d22', '9717981357538498', 'a4c1d34f52dbf130', 'd1a1aeca91e29c76', '6452e7112d532c51', 'ffa4fc8c1589138a', '47ea7b75465317a2', '0deec8ba153b3a98']; context = [[36, 89], [1, 54], [1, 65], [10, 93], [109, 172], [13, 101], [137, 215], [0, 48], [4, 66], [40, 110], [1, 47], [11, 68], [107, 189], [50, 100], [8, 61], [42, 103]]; loss = 0.014199 low_pass_filter = 0.300
+Epoch 0: | | 26779/? [4:41:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 26780; scene = ['df195aa2a1cacb84', 'cda09f46527eb2ef', 'a807e9fc27545af2', 'ed49aaed4e63d766', 'e1af6a7e6f39ec21', 'f2d8507921f1bf33', '0e74fd84397c6e13', '0b6303f8624e2980', 'f610d57380017bef', '5a1a7a4a790f0a2a', '7c4950d3c8bf792c', 'c3377e6228d56a46', '16db3a066906eec2', '0abc31ce6e2cf8b7', '0600960c337bb774', 'e8b3a59f618ccfb1']; context = [[4, 81], [6, 52], [74, 120], [21, 106], [175, 222], [0, 46], [46, 125], [128, 209], [128, 203], [4, 80], [4, 62], [15, 72], [17, 63], [37, 89], [154, 209], [107, 173]]; loss = 0.016904 low_pass_filter = 0.300
+Epoch 0: | | 26789/? [4:41:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 26790; scene = ['87c8a0082ed8ff94', '2ea9a7e763491324', '8ccd419c07a54f45', 'a11168f2dbc672f5', '70a7c73ee0ff15cf', 'a03aac3f83c63352', '246e844f2b0c296f', '0aa65a45e54c8ff1', '644edb7b339e7204', 'a4ae60d4a75da37f', '7e707956c9bff686', '4c7267e52f7f2368', 'e27265b024ec65b0', '63b2dc4bf72f6f11', '15c8d54f98fc0b99', 'f190bcba90efd3bc']; context = [[37, 118], [14, 84], [5, 53], [47, 110], [66, 153], [4, 55], [9, 77], [20, 75], [18, 75], [15, 69], [14, 65], [24, 107], [115, 178], [76, 136], [6, 65], [1, 86]]; loss = 0.016228 low_pass_filter = 0.300
+Epoch 0: | | 26799/? [4:41:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 26800; scene = ['1c3284259050a0a9', '6fb580ad7ea0e94d', '53fe8fcecf2767a3', 'c54760d0f4deddf4', '9467cca40f3ac088', '369fdb50d48334e8', 'c3914b367617df25', '585b9da654b196e0', 'c73ba4e9b8857f86', 'd692e48036144709', 'a8cfb2062202dee3', '751c329e576944d8', 'f775386efb45738a', '85d7f4e0a5ef8813', '3bbecfbe6c975b01', '06860e1d99ae9f1c']; context = [[55, 114], [12, 76], [43, 97], [60, 110], [138, 214], [2, 48], [28, 75], [26, 88], [139, 225], [69, 127], [50, 124], [5, 58], [10, 98], [0, 82], [16, 86], [2, 62]]; loss = 0.017760 low_pass_filter = 0.300
+Epoch 0: | | 26809/? [4:41:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 26810; scene = ['718d659094544773', '7bbc16f55a96e465', 'b047dc9789779470', 'd9fb64a51b499e43', '91c1cbefd5264370', 'a50870dde2672221', '1da214534aec3dbf', '8a02d21e625be4ee', 'dff73d748dda6d8c', 'aefcd43f036bb40f', 'b0c1009eeb7b447f', 'e0e5ca65d06c4aa2', '12ca4e4975bb2a9c', 'fa1056116fedac8e', '0ef9c1bd7b829e5e', 'e27fc0761ea5e6b1']; context = [[2, 67], [13, 69], [133, 181], [0, 50], [5, 73], [105, 184], [7, 66], [37, 96], [160, 248], [4, 91], [17, 94], [17, 64], [178, 263], [94, 147], [23, 104], [32, 94]]; loss = 0.015806 low_pass_filter = 0.300
+Epoch 0: | | 26819/? [4:41:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 26820; scene = ['a4db4f86a3f6a3c9', '56b98fa7036d9f70', 'fb45a86f6154e126', '6b495ce9634d2fbb', '230cbeb79d01d4db', '51ddb01c04198b4e', '9ebd3a2bb6da391f', '0e0bf14b6085e811', '5ae14b01a500682a', 'f4279ea4e3468e86', '9da1fa15af1eae3d', '1f091d8458c5d83b', '3dfdd773f0a7cf2b', '8df1675f6541269f', 'cf6fd75ffa40dc50', '4359a06de608247b']; context = [[9, 98], [12, 82], [3, 54], [35, 123], [3, 83], [8, 55], [3, 84], [23, 68], [118, 179], [55, 117], [97, 183], [22, 79], [7, 55], [2, 86], [11, 84], [2, 60]]; loss = 0.017634 low_pass_filter = 0.300
+Epoch 0: | | 26829/? [4:41:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 26830; scene = ['4993ae15d091d631', '5c30bf2887cf8546', '4b7a85a5ae42aa8a', '9c500c3d949c224e', 'ea1af0f111f0dec9', 'b63f74a469ec8316', 'ed40262f2600f310', '377491fa91a751b3', '9846c25ea4dc9cd1', '40b14e9ca06271a0', '52756823f87254c1', 'f93c32b96db965cd', 'fc02bddd09583f6f', '1bbd97bb351008ec', 'b27bddaf7c71a0e6', 'ed83ccffccff011a']; context = [[15, 71], [0, 52], [1, 50], [33, 82], [8, 56], [189, 239], [6, 52], [7, 56], [39, 112], [41, 113], [1, 74], [25, 103], [18, 80], [94, 179], [32, 110], [4, 81]]; loss = 0.014307 low_pass_filter = 0.300
+Epoch 0: | | 26839/? [4:41:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 26840; scene = ['52bc94dadc901275', 'c84aeac3da716986', 'c5dfde6b20759428', 'aebd9e8e84ef857f', '15f2988fc979f6ff', 'ae4c65fb1d8619d5', '97f5b0df30fe5b41', '2cd51577bfc59199', '38a370f974e32a78', '0ef08e640accad38', '8972e46a898a8b97', '531a68aac3449fc4', 'e97244e0e99963e0', 'b3474e5972d2627f', '97953d7daa82f0c9', '236e645bf90342b0']; context = [[13, 85], [189, 258], [2, 50], [52, 101], [12, 66], [73, 120], [42, 98], [38, 111], [1, 60], [13, 84], [8, 66], [27, 87], [16, 64], [16, 72], [44, 118], [11, 62]]; loss = 0.013387 low_pass_filter = 0.300
+Epoch 0: | | 26849/? [4:41:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 26850; scene = ['7bdae1fbfeca5814', '6d849ca53f62a5b7', '3cca5bd6f63c23a5', '887c6aa71d5e23f1', '3c7bce242568d273', '720742ec46570641', 'd0d4ad4d03d611ba', '760c2ac3301f9830', '3c44c60aed259d91', '5a042ffa11586731', 'a40b2a44d4b8081c', '28f817c51f5fc676', 'e7eef989e165f35f', '7dc5678b391a300b', '1f36fbc394fa219e', 'ed9fdd6526128f26']; context = [[22, 102], [119, 185], [9, 72], [105, 163], [37, 89], [69, 153], [15, 96], [6, 60], [43, 106], [122, 186], [1, 54], [56, 102], [65, 151], [47, 107], [95, 148], [64, 135]]; loss = 0.016891 low_pass_filter = 0.300
+Epoch 0: | | 26859/? [4:42:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 26860; scene = ['1a261269ffa7e3dc', 'd5684fa2b111efe4', 'da1de03a9c3c0543', '4eb0fb91ffe321e2', 'd05a0ee5ba0c25af', '43e26dd033c3ed78', 'f07b2f30f82c54da', '19b4c5943e9f530e', '43c619a8b35c357f', '7f20b3df52cf4e98', '8b3e50b64cdb9a4a', 'c6cdc4c9282bd491', 'b765858262583af6', '32ed60ed023b59cf', '5fe123b3d2013cfc', '34a9201614a19005']; context = [[62, 138], [65, 110], [1, 52], [27, 116], [35, 115], [5, 62], [187, 267], [0, 45], [3, 67], [49, 115], [23, 81], [42, 99], [49, 132], [0, 45], [3, 77], [149, 209]]; loss = 0.013744 low_pass_filter = 0.300
+Epoch 0: | | 26869/? [4:42:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 26870; scene = ['6bbbafed0ea0907a', 'c5ed8ec466ba90ae', 'd764566cf5adbdfa', '7323b192f14eec56', 'c56ff3fa210c1457', '6e15c68f6be4d46b', '241cb6c1782eec63', 'c82d650fe5734c85', '32f43866ffda7f8c', 'c8fb4f76ee763d18', '6bed54d7ef0b89d8', '48affbd55a6a99d0', 'd7adef0853c541b7', 'a976734f8647a289', '511ec608e4012db6', '82d26f74f86c38e2']; context = [[2, 63], [103, 170], [2, 54], [64, 118], [1, 91], [24, 93], [1, 53], [76, 145], [18, 107], [22, 89], [3, 79], [6, 55], [188, 236], [8, 78], [16, 73], [68, 122]]; loss = 0.014111 low_pass_filter = 0.300
+Epoch 0: | | 26879/? [4:42:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 26880; scene = ['dd3f404dd28793c0', '081198dc5e02cbb4', 'ba9f28692c62d379', '28be161d37f468d0', 'd349326e60a609fb', '9ff158208cde959b', 'e4a04ce635b099dc', '130f4012951a6f3c', 'ab000b4f32ced111', '7157a08b4d909e22', '2ba6db31b81feaf0', '95b37383d90fba88', '71de6eb329cc96bd', 'd1749b42c2b6082d', '1bb36d50ab9fd353', 'bbdb60e0097e9ced']; context = [[15, 83], [12, 67], [3, 86], [12, 72], [39, 124], [0, 57], [19, 69], [215, 276], [23, 72], [26, 82], [8, 95], [21, 106], [12, 60], [65, 135], [54, 130], [103, 181]]; loss = 0.012196 low_pass_filter = 0.300
+Epoch 0: | | 26889/? [4:42:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 26890; scene = ['ed74ea7bda20e1d5', 'c87a1d3c6d69f3de', '62f6164b50b1ae15', '8468c4228e3215ed', '145a729ed377068e', '76bedcb696ccbc7a', '3d11abcfd05f507c', '6b2d6d1f7647ee93', '6a13585caa18b99d', '3b601d4d89307614', 'f0da9b9f8786b0c1', '540656c16216364d', '630027801891d158', 'a6d4f5be85158b87', 'd3e19b0747269427', '5193a7aee466495c']; context = [[128, 210], [7, 65], [21, 80], [1, 87], [1, 74], [2, 68], [16, 73], [24, 113], [25, 112], [78, 142], [1, 87], [23, 69], [48, 97], [15, 101], [89, 136], [23, 82]]; loss = 0.016611 low_pass_filter = 0.300
+Epoch 0: | | 26899/? [4:42:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 26900; scene = ['549aee7225d87f0b', 'afbae91e7adc08c6', 'e2fa9e5d23eb10e3', 'b181ea72c7347b53', '1500c55a81d7e5e2', '0c22d101b8be38a3', 'eebe495253641928', '90a2996dbda813c8', '6e80761cf03fafb9', 'a5af523ff599e4ee', 'd61e3b2e212543be', '60d30e9ef97fa03f', 'f0fefc8f4bc3e0b0', '070e5e467a513416', '5420a244b5ecd182', '486987230b46502c']; context = [[100, 173], [13, 62], [33, 109], [201, 272], [108, 185], [105, 173], [0, 70], [69, 121], [0, 46], [6, 87], [8, 68], [0, 58], [5, 58], [34, 98], [45, 119], [157, 242]]; loss = 0.018887 low_pass_filter = 0.300
+Epoch 0: | | 26909/? [4:42:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 26910; scene = ['9af7c151a7ca6d00', '4277d8783b6a046a', '91599919681fac69', 'ea334cb643e07603', '8ccc670b427d277a', '896854a5d7c5179b', '40c5311e3b3accef', '976589e1e037f256', '61152f7f13e6ca70', '6dc932b8fa9e45e2', 'f64be4d4702419e9', 'ac47a40506588f1c', '3aba94892a572bda', '035796a705648437', '51867713f952190c', '99cccaa6de050ae8']; context = [[100, 184], [4, 79], [50, 139], [15, 60], [98, 157], [1, 62], [87, 142], [114, 180], [30, 85], [3, 80], [23, 71], [23, 101], [4, 51], [29, 93], [24, 70], [150, 200]]; loss = 0.017775 low_pass_filter = 0.300
+Epoch 0: | | 26919/? [4:42:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0train step 26920; scene = ['32594792c3f9361f', '3dbb2c1bc521b62e', 'c953d129166956cf', 'b3c9ebc907ec6e04', 'c470e82acd641c32', '2c818e06fab2adb1', 'fc8e5038180d1870', '242016b24b4251a6', '5228c2104f8fae53', '90b0bdba4d4964e6', '5b1b90c3dcb8cb6d', 'a26a8eef6cddf578', '2aa322a93bf1348c', '7b0c59855bb150f6', '89a58a0b550f9540', 'fd8e3864e50ae974']; context = [[72, 128], [69, 121], [11, 67], [12, 97], [2, 72], [9, 64], [187, 232], [1, 67], [119, 174], [5, 52], [1, 73], [15, 63], [165, 243], [44, 102], [15, 103], [58, 133]]; loss = 0.015407 low_pass_filter = 0.300
+Epoch 0: | | 26929/? [4:42:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 26930; scene = ['1ed1881ef2ce7787', 'cc6575deb4a5197c', 'b28cf91f94da99b7', '301b15f94d691805', 'bf01907dda08e73c', '3e9e39a206935fe5', 'f3d11118a0c4506d', '292aac2b17294096', '5fae83987df7adf5', 'e5dd54a365778700', '2b1892610e2c4d6e', '0fec740374049de6', '8e390bd0d698e80b', 'af393f313dddf3eb', '120f7e6b6ec6eaf4', '3adb92fd0ffe8477']; context = [[22, 90], [68, 128], [4, 71], [164, 246], [5, 74], [99, 173], [23, 78], [6, 74], [38, 83], [78, 145], [11, 57], [12, 85], [140, 188], [47, 92], [153, 213], [1, 86]]; loss = 0.015200 low_pass_filter = 0.300
+Epoch 0: | | 26939/? [4:42:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 26940; scene = ['58c0afc932f7fbf2', '54e60442b2dd18c9', '6ca8604b1a33a7d5', '59d59a4c05d1ad29', 'e8dc6ab4925b9c86', '3720755fffccd7c3', '001511b4a282e504', '4ede9e4a3f26c3dc', '88aadc6f1d1edd38', 'a2ecf54b0980ea71', '65cd1bd7d63ae0ab', '3fcca4a96e906d28', 'e07425c9487affdf', '2010f51e3ae7e557', '73571aa48e313ef4', 'b0128cafc1556b7e']; context = [[194, 249], [4, 70], [4, 66], [22, 67], [101, 174], [12, 83], [12, 81], [182, 247], [7, 67], [2, 72], [4, 91], [145, 218], [95, 171], [18, 68], [60, 144], [79, 138]]; loss = 0.015993 low_pass_filter = 0.300
+Epoch 0: | | 26949/? [4:42:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 26950; scene = ['4beafa1c85a14698', '31907a6ebec6ef2e', '21853a08631ca99a', '2924bf5994ab6cfb', 'e0e6e55758821324', 'caede1d5a57e53e8', 'a691d722fd591be9', '79f4c0b95c02d5ff', '4d758121dabd85b6', '2bc64907eede5603', '666d73792e8d6ee9', 'f7b87bf486eb77f8', '70a9d28f95ed8c83', '8e6ea51cd6575a5d', 'b7d4756bcc712a93', 'af8415641b3922f5']; context = [[0, 61], [44, 120], [3, 69], [73, 138], [131, 207], [20, 91], [39, 85], [1, 47], [9, 64], [26, 99], [31, 98], [13, 64], [1, 70], [1, 53], [38, 106], [1, 84]]; loss = 0.012273 low_pass_filter = 0.300
+Epoch 0: | | 26959/? [4:43:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 26960; scene = ['00c5fe571a003deb', '2010caa12547cec9', '7d70f269a4d75034', 'bcda5a73bad164c5', '4b549a864a5d14ca', '0dbb3494ed500eae', '0b10bd983b7904f4', '00a97cfa89150952', '83f57bcd5d9121f6', 'd0b05114696275a3', 'e579edd7cd33c20f', '152fdd4a1d573eac', 'bb2d9debacfd0afe', '8d240b118357cf8f', 'f74d512df8806cc1', 'f6002d27b4940f4b']; context = [[65, 131], [13, 62], [1, 46], [79, 169], [0, 46], [46, 129], [32, 92], [1, 46], [33, 118], [51, 103], [1, 46], [21, 85], [13, 58], [17, 62], [15, 72], [92, 179]]; loss = 0.015500 low_pass_filter = 0.300
+Epoch 0: | | 26969/? [4:43:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 26970; scene = ['d386559a465dea9c', '275471aa95675b7a', '3199035cc6dd56bc', '31d2fb92e2a0ca93', '27e6dbcd1a32e569', '81924383a1095d6f', 'bc40dbe2f1331028', '771811339194e54f', 'e1f3e3802c9359e0', '4993bd4244557a1f', 'd2f6106c79c3c290', '0dd90b85c14d14dc', '9cab4d4314df42e1', 'a7d76787b66816fb', '3e88f9a82a1c873e', '08f3bdfcb2b56aa8']; context = [[108, 191], [33, 78], [1, 59], [4, 49], [21, 66], [71, 147], [1, 79], [27, 113], [26, 73], [4, 56], [108, 190], [10, 87], [11, 63], [1, 69], [16, 67], [0, 79]]; loss = 0.015423 low_pass_filter = 0.300
+Epoch 0: | | 26979/? [4:43:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 26980; scene = ['9e9e23b0d4bf4e3c', 'e7a04da784bddf9b', '2462c8cb7c8ceb8f', '3db6c0e172d18826', '075ff1aa1c151ebd', 'a20f3c209278a6dd', '3dd7802a2c93a865', 'a2a9dc0ec447f419', '216a66f91f256578', 'd15566035f9fbe7d', '9329526037966689', '47a9b1e96499a466', 'bcf85ccd292d399a', 'ba04100dab2dad98', 'd449a998f2a66c3e', 'ae5eca097e5aada0']; context = [[19, 101], [6, 61], [25, 113], [74, 122], [109, 159], [15, 62], [105, 182], [6, 72], [11, 61], [22, 86], [29, 110], [23, 108], [86, 158], [3, 72], [4, 74], [18, 74]]; loss = 0.015507 low_pass_filter = 0.300
+Epoch 0: | | 26989/? [4:43:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 26990; scene = ['47608d00f89f6b00', '383986de290ee3a3', '7c1434aba45e0e87', '6a0f9bf1977e6af3', '99d75f5941fcd59c', '4f7038c3257a081b', '1a7bbd0bd3e7c3cc', '2d38cbb82e3fb1d3', 'e6db09df52382c40', 'a30cd3bcc7d000ff', '50717215135b0a15', '78e66d2115d125dc', 'f1413d4b0150c873', 'ce60602e5f8d1f23', '243a4e01f4205e85', '6dc7736fbe5fe64c']; context = [[57, 109], [23, 85], [1, 68], [11, 68], [159, 229], [92, 157], [15, 68], [2, 85], [55, 118], [94, 146], [14, 84], [17, 100], [20, 92], [44, 116], [40, 112], [73, 152]]; loss = 0.015512 low_pass_filter = 0.300
+Epoch 0: | | 26999/? [4:43:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 27000; scene = ['eb8573c91ede50d8', 'ec8c329c574f5821', 'd3141e047f94083c', '387df848c49ce543', '65c59ca59d640f1e', '3d4066bca07d103e', 'c4ef62d643a5109b', 'e1521248f697a339', '089cc04e370ae27a', '52701bf4a3f2a21e', '7a356bc4da397f1c', 'd5021698e6337004', 'd2fb5417e61d509a', 'b957dc0816f778cc', 'e4f30516953526eb', '34147732c796bf8a']; context = [[11, 72], [94, 169], [127, 198], [0, 73], [34, 113], [90, 145], [78, 137], [0, 52], [70, 115], [1, 86], [14, 79], [59, 149], [18, 87], [2, 79], [47, 92], [35, 92]]; loss = 0.012180 low_pass_filter = 0.300
+Epoch 0: | | 27000/? [4:43:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0validation step 27000; scene = ['020a41f988981396']; context = [[22, 77]]
+Epoch 0: | | 27009/? [4:43:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 27010; scene = ['5403b2116cfcb7f4', '845fd245a93eff4f', '039b1dfb06179920', '88ec5960ae4ad257', '7d4cc2212a819b09', '0d19a98df7f0d404', 'e8198adc8f286ca2', '90b054efa5dff38f', 'ade8a86455248182', '9dc00be786d8cc92', '5b86590ddabc6579', '6d712bf86b1bb79f', 'e29e8b055b6fba61', '552c35c6d99b5e62', 'b67893ee6b828446', 'fa04057a58669ca0']; context = [[0, 53], [129, 207], [0, 77], [12, 96], [14, 65], [11, 77], [90, 146], [15, 84], [28, 97], [55, 129], [3, 50], [30, 105], [1, 81], [51, 102], [66, 126], [17, 79]]; loss = 0.012297 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 27019/? [4:43:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 27020; scene = ['e87a1e494c996a96', '0aa17fd0fb5514b9', '56f7ce9c64fd3c06', '1f220c65c37553e2', 'f0e377c4942a922c', 'ec1e22ee6784191a', '60d5d520a12a9c50', 'cb2361e8fa21f3e6', '5f6ff1f6eeba6fcc', 'aa1426eb9d35b816', '87b3478ab859b1c8', '70addb57e49b4fa6', 'bd7b99bedcc90f02', '9b318860f17dd778', 'd3faa50b5e4fbd6e', '889363eed9b13277']; context = [[0, 68], [9, 88], [91, 180], [11, 72], [114, 198], [19, 95], [0, 68], [2, 61], [1, 91], [34, 108], [24, 78], [8, 66], [20, 73], [22, 73], [53, 133], [2, 53]]; loss = 0.017726 low_pass_filter = 0.300
+Epoch 0: | | 27029/? [4:43:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 27030; scene = ['0672e7f9286387ce', '0ab41923a82fbefc', 'b6c073fe5209ad3d', '9cbbbe528c9bc4cc', 'b1c3c94c00ea058a', 'b435124e91d094fe', 'f94107ff62ee28f1', 'e667c12e5d57eadf', '0fe7bb34bc1ce614', '78e2ec35addd48ee', '7dbb39fbee25850d', 'e3a847b0e33a8c66', '4f7e8923801b37d8', '07e89fbf76b33051', '1f03321df3099803', '8460330706be0565']; context = [[26, 95], [75, 149], [6, 72], [19, 72], [21, 79], [33, 93], [38, 87], [137, 192], [0, 86], [0, 49], [116, 191], [22, 105], [43, 106], [1, 61], [23, 78], [11, 59]]; loss = 0.013491 low_pass_filter = 0.300
+Epoch 0: | | 27039/? [4:43:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 27040; scene = ['877301a2234c6e85', 'a62b93604c9ba98d', 'e54e0ffb622d8e56', 'acd0ea80c7595840', 'd4c17d2bcd948e59', '7a3ff212e5abac35', '5b2278c4da769f90', 'ea65e9d79b43d884', '1f696b93c71675fd', 'bb717dac4971645c', 'd0d887f15156edf3', '19e7498b055cd18a', '5e2650c063ad0179', 'c6e7b39d2ebedbdb', 'c29e55d96017bcc1', 'd3784c9108c25d42']; context = [[100, 170], [24, 78], [123, 190], [2, 75], [40, 102], [42, 128], [61, 141], [144, 208], [8, 77], [3, 64], [8, 54], [30, 77], [29, 101], [7, 81], [83, 165], [114, 164]]; loss = 0.014143 low_pass_filter = 0.300
+Epoch 0: | | 27049/? [4:44:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 27050; scene = ['a21c7fc61430286a', 'ce3d2d997aad9619', 'f91b9393b23e69ff', '75e78d3a345b7e23', 'b2d8fc68e6b91731', 'b70def164b856c89', '8baf73d4c62c234f', 'b5b675c6e453338e', '8051ef7dc674bfb5', '285ea3ebc64813a6', '765acee91f090ca0', '100fdf7a7ea656e5', 'd85bf23db2a97502', '66b0697258859fc4', '169aaaf51ef3849c', '9b8b7ae8b1327717']; context = [[26, 77], [30, 78], [36, 118], [50, 138], [0, 86], [56, 108], [106, 179], [172, 233], [26, 93], [28, 76], [4, 61], [2, 62], [3, 82], [2, 52], [5, 58], [0, 57]]; loss = 0.015448 low_pass_filter = 0.300
+Epoch 0: | | 27059/? [4:44:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 27060; scene = ['b409b939c42031e5', '40705672cf881305', 'af4763770bda7625', '1adc869076b62522', '4a21df12d3b7310b', 'e48218dcf5a6fcb4', 'b0ef58c6b07982ce', '7b1c88b4328c29f8', '93c4c2fa3994080e', 'd5baf7d53e841808', 'be9bf46e270b4063', '87d8ff58d20dd38e', 'ceaa8a7f61143b3f', 'b2191f22b72cd698', '5db35c5a758e42ae', '6ac21339504bd55f']; context = [[29, 91], [23, 71], [8, 55], [1, 47], [19, 95], [122, 201], [8, 71], [1, 49], [40, 114], [50, 103], [1, 78], [29, 75], [13, 79], [19, 90], [0, 70], [113, 191]]; loss = 0.015515 low_pass_filter = 0.300
+Epoch 0: | | 27069/? [4:44:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 27070; scene = ['f3fc106a7bbe2155', 'f7d531d5b331ea55', '5230034fddfd04b1', '2b5a333d84c3b569', '116422fe7641cdd0', '017e1523950d074b', 'b1f6069c3adc2edc', '8886b6ef8b1d59ff', 'b2ef256ba056dc78', '0bbbc650e13b9600', '4ca81426357081a3', 'b9e116b141210ec3', '5f649a9466de2d38', '75fcc52ab87960c9', 'b01937cfd4e1a877', '8084d224519a2f6e']; context = [[54, 109], [70, 147], [0, 66], [6, 79], [3, 89], [0, 67], [88, 142], [9, 61], [0, 80], [91, 140], [93, 142], [55, 122], [76, 147], [61, 112], [16, 106], [0, 64]]; loss = 0.015192 low_pass_filter = 0.300
+Epoch 0: | | 27079/? [4:44:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 27080; scene = ['e520f0d8cd4572cf', '360ed1677f1ae4fb', '3462bb5ea3a6722f', 'dedb4f1d99056deb', '21542ec974f794a5', '9348c6f9d6ad46fa', '64099cb5702f6baf', '75196bdec738648f', '9884d764bc2c32d2', 'f322a0951e62a512', '06c5611fcca47ff5', 'af498312266f75db', '7028de6e78279064', '50e49715ebce4977', '239fc42dfe56a16d', 'a5ab814fbd107975']; context = [[1, 47], [0, 68], [108, 188], [3, 89], [1, 58], [0, 49], [35, 92], [0, 77], [21, 75], [11, 79], [2, 60], [4, 67], [35, 106], [41, 119], [11, 92], [4, 50]]; loss = 0.014050 low_pass_filter = 0.300
+Epoch 0: | | 27089/? [4:44:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 27090; scene = ['9bc5981d26dcfc62', '9b4eb74c4f2839ce', 'aba8920b0aa01c50', 'b7dca8f8921dd2bf', '9aaa302f4137de82', '0e126fcfcf5a09b8', '570ec4d99796393a', 'ece78ddcfe46af7a', '7933d6d96dd31a6c', '9868890fd5a820bb', '163a8471d885270d', 'fa253477dc8dab85', '6a750d0085319d94', '6d810108226870b2', 'da23aad097fb5249', 'd9d0ec7991343291']; context = [[12, 58], [5, 52], [41, 91], [30, 120], [52, 126], [4, 50], [1, 69], [5, 92], [11, 96], [9, 93], [129, 217], [101, 183], [35, 80], [36, 110], [7, 56], [70, 118]]; loss = 0.014405 low_pass_filter = 0.300
+Epoch 0: | | 27099/? [4:44:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 27100; scene = ['40360c6f8312234c', 'b5aabaaad03680ab', '1e421002727c7a1a', 'a1c6682918d86006', '9bc40f9c925f676b', '6799dafe522e51d4', '58d334d3f3518b39', 'd0f713088a1dbe7c', 'afaf4cb0fe0d8bff', '79e7a7de2af87919', 'ed45976a35ed3fc0', '595bf8d669a979bb', 'b14dc2418422d6f1', 'e46969010a61dadf', 'ef67dc096bd74aea', '6c3c828eddbaccb1']; context = [[16, 96], [11, 78], [31, 98], [65, 118], [3, 80], [97, 158], [49, 95], [28, 73], [3, 79], [10, 61], [0, 69], [23, 100], [12, 62], [11, 61], [15, 103], [7, 72]]; loss = 0.014919 low_pass_filter = 0.300
+Epoch 0: | | 27109/? [4:44:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 27110; scene = ['9dc287b1d85b89c2', 'f329fd27dc38919f', 'f78d853148097f67', '2bd20a851148c40d', 'b391c9c966914810', '6bbff5ccc1c269f7', '15573128c45442c8', '6fa675711973ebba', '79fe704a7b031378', '8ef9ff3189c85eee', '894851ce05febce5', '5ae6cc7cfcd39f73', '20f26238dcf6585f', 'c152ab577a837dac', '679b1c2a79b2f0d2', 'e3e24878405a32d4']; context = [[27, 78], [2, 84], [63, 118], [0, 45], [27, 117], [5, 94], [13, 90], [6, 83], [1, 81], [30, 96], [84, 143], [83, 168], [0, 84], [10, 73], [9, 74], [38, 86]]; loss = 0.015191 low_pass_filter = 0.300
+Epoch 0: | | 27119/? [4:44:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 27120; scene = ['55a60a0830766221', 'fe8ae6eee5f22cb5', 'd64c03184b6409aa', '356aa44bcb11bfe8', 'dc51d98d2423a44f', 'd7df1174572a262b', '3c208a2d44727959', '80041600c276b736', '5ca47925cdd3c7ce', '4f07c7aeda6dfd54', '5816deaba41a899d', '82c4af6d697ddba5', '3e67b481ef280294', '6dc6bdc8ea4b6034', '419b6989160e3606', '963389198f0d43c9']; context = [[7, 90], [51, 132], [11, 75], [87, 150], [16, 97], [12, 57], [149, 217], [154, 199], [36, 119], [2, 53], [9, 56], [13, 71], [23, 71], [70, 121], [1, 57], [18, 68]]; loss = 0.015858 low_pass_filter = 0.300
+Epoch 0: | | 27129/? [4:44:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 27130; scene = ['89680a7f11b75421', 'bf1be07d9e719270', 'a8d37772aaad1161', '00b6a786f2c21c17', '990231893b7eff6e', '299413c1beb0e49e', 'a1d3465ad97fb1db', 'f58e63b78cfc54cc', '99a47f816620e8d5', '86dcb18aa5732bf9', '93a3175cacb5cb3a', 'ef9a9a9d9f9d48d8', '3d091f661f2b9fd3', '35ca9463b81405e1', 'f0f62401af0e2e2f', '15a03fac30b07ec8']; context = [[37, 96], [4, 87], [43, 93], [1, 69], [10, 77], [3, 51], [14, 70], [19, 68], [209, 259], [1, 80], [5, 87], [16, 81], [120, 180], [96, 172], [216, 271], [27, 85]]; loss = 0.015273 low_pass_filter = 0.300
+Epoch 0: | | 27139/? [4:44:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 27140; scene = ['c620b4af45dc7445', '775c972bba0d00fd', '9bf837c9b3c493e9', '1927ce59475cc725', '6c39921ab0917e6a', 'c6bb3b3d5da3637a', 'eb842d968c878d36', '95ad215e551a9610', 'b0b94d5a0d1604e8', '0b22601aacc68028', '59e4226c65dc6a8f', '1530900920c69548', '1c407840852ca073', '5b57c8f60507e639', '891fdf0987991e47', 'f20cf4a70116d38e']; context = [[0, 57], [60, 144], [137, 201], [55, 106], [7, 72], [22, 76], [8, 69], [0, 84], [9, 90], [18, 98], [0, 52], [101, 169], [122, 169], [4, 82], [81, 161], [80, 127]]; loss = 0.014647 low_pass_filter = 0.300
+Epoch 0: | | 27149/? [4:45:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 27150; scene = ['54b7cd4104a189b3', 'e28dd08b05e0e835', 'f1ad34b317f596a8', '3d3570cae9dd24b2', '62dfb6acac4e7353', '6d5a7765a9f78f05', '5e3ea271106a0019', 'e546ea2c05f0ae2d', '6eb834c86b832ef8', '9ffd98918cd5c313', 'f2d21ce8d337b647', '23f0fc265b2564b0', '07fa31fdc65acb03', '1c0a31fde0033a2b', 'b0a2a85157926ad1', 'da6cf0614307fc2c']; context = [[58, 113], [15, 74], [6, 60], [154, 228], [24, 96], [4, 55], [22, 98], [36, 88], [17, 64], [13, 69], [19, 82], [2, 52], [47, 95], [50, 127], [5, 61], [18, 80]]; loss = 0.017213 low_pass_filter = 0.300
+Epoch 0: | | 27159/? [4:45:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 27160; scene = ['c3d128b89321a7ea', '61d29b571c954e20', 'bff9146b1d9f0872', '68ed8970712b0a9d', '63b0663fd8096e4c', 'e7f6ca9e6e6046d8', 'd10b70a4463d1141', '9691b4ee3a595593', '79b2784291441084', 'b6bc533cae48ea5a', 'b6eea50d37cd996c', 'f55137ed9c15c6c6', '89680a7f11b75421', '916cff79bab5c96a', '2c6c9bef73d70f57', '12e0cd73e03185be']; context = [[3, 81], [20, 91], [7, 58], [4, 56], [1, 71], [0, 47], [6, 55], [2, 88], [30, 115], [11, 60], [36, 101], [52, 113], [22, 96], [10, 80], [49, 94], [64, 148]]; loss = 0.015909 low_pass_filter = 0.300
+Epoch 0: | | 27169/? [4:45:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 27170; scene = ['483e748adecd82d7', '3c7a782239e61bbd', 'fe1073d78503215c', '355663af90d2391c', 'fbec08173ef0bbf2', '81b75edec9e7564b', '996208a794d41f95', 'e8e7f9455eb59fad', 'bfee9e3164413741', 'a09912f76919c58d', '87b5b7b36ca1c6c8', '9b08e398d3978550', '47d92524baf3c7fa', '38a359f7eaeebdb3', '65e2be2f97378beb', '9a10d4b47d4c3b2a']; context = [[21, 109], [14, 74], [24, 92], [16, 70], [21, 111], [4, 87], [55, 116], [0, 81], [4, 76], [30, 78], [0, 48], [26, 79], [3, 80], [129, 208], [52, 109], [109, 185]]; loss = 0.014381 low_pass_filter = 0.300
+Epoch 0: | | 27179/? [4:45:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 27180; scene = ['2924bf5994ab6cfb', 'caede1d5a57e53e8', '666d73792e8d6ee9', '2bc64907eede5603', '4d758121dabd85b6', 'e0e6e55758821324', '8e6ea51cd6575a5d', 'f7b87bf486eb77f8', '9025a2c878c65e51', '1b9e0a1958f29f37', 'b15bd877d2642313', 'ab1a429034ca6dcd', 'd842261ebd54ac6e', '8828f1cc452795aa', '24b61a5f82f26bdf', 'da730944311546b9']; context = [[14, 86], [31, 110], [22, 80], [40, 95], [43, 96], [50, 118], [9, 55], [2, 82], [11, 56], [111, 163], [58, 120], [9, 55], [23, 100], [38, 112], [10, 62], [26, 75]]; loss = 0.012331 low_pass_filter = 0.300
+Epoch 0: | | 27189/? [4:45:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 27190; scene = ['9865c5e8e229fc40', '5f52d6feb72d9fe4', 'b168680ca26d5902', '50295014ad236fb5', '308711161d789a69', 'c99c1c0e1f41ec12', 'c12233237c2eb060', '68df62418279f9a1', 'da26227aa947976d', '2bf6e42939188e55', '6995e4ffc88abd8f', 'cc41c29a1db57601', 'e6d2e92f0f973aa2', 'd82e16508ecb77ca', '8303b179d7df86cf', '1b8238f8057a7975']; context = [[11, 71], [0, 90], [171, 251], [31, 104], [56, 114], [13, 72], [68, 120], [47, 107], [3, 71], [66, 152], [67, 134], [8, 97], [40, 93], [27, 99], [29, 89], [18, 98]]; loss = 0.012306 low_pass_filter = 0.300
+Epoch 0: | | 27199/? [4:45:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 27200; scene = ['adab6b638da78c1f', 'b18342b4830b0a53', '8a9545d8bc98d172', '205015c1687f087c', 'c659670b1754a22f', '9ff2d2e5e03e4a46', '995229823cee33f1', '5c7861a3b548c450', '05c52e8ba8c5cbdc', 'e3b6b4a81377592c', '486585554880b445', '1a0692f3ed3b343d', '5f48e405296a0612', '6b34873a45d50903', 'd8bef9a942687b34', 'efe5ec82744133d7']; context = [[6, 62], [36, 104], [2, 79], [20, 84], [50, 130], [18, 99], [0, 45], [111, 197], [4, 57], [100, 170], [79, 154], [36, 118], [41, 91], [16, 77], [85, 174], [152, 211]]; loss = 0.013442 low_pass_filter = 0.300
+Epoch 0: | | 27209/? [4:45:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 27210; scene = ['70433ba7c4f514ba', 'bcfb6fd4173ca1ef', 'd476c136d6fe6cd9', '3b7c67b6632b1c74', '65f32069136de1be', '8a11b9190b9c768c', '27b292f550476cb1', '5e3823e7d702cd77', '9c99ea6fb0609c14', 'd79b084da2f40032', '0e57d2d8655afebb', '983944b4dd64677d', 'edcdfad297756b43', 'c6ddb4bd6ef6f42c', '0df2f549085e0bbd', 'e0113dced65377a5']; context = [[5, 70], [33, 113], [6, 75], [0, 65], [7, 83], [14, 64], [147, 232], [0, 58], [0, 79], [11, 56], [3, 90], [1, 70], [150, 216], [9, 70], [8, 65], [11, 72]]; loss = 0.016954 low_pass_filter = 0.300
+Epoch 0: | | 27219/? [4:45:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 27220; scene = ['d2fb5417e61d509a', '52701bf4a3f2a21e', '387df848c49ce543', 'eb8573c91ede50d8', 'd3141e047f94083c', '089cc04e370ae27a', 'e1521248f697a339', '65c59ca59d640f1e', 'b957dc0816f778cc', '3d4066bca07d103e', 'c4ef62d643a5109b', '7a356bc4da397f1c', 'ca738f440873a7ac', '937c5776c7311396', 'b7efd4a0885241a0', '217b5aa939551994']; context = [[13, 97], [0, 49], [1, 62], [20, 105], [36, 121], [2, 69], [1, 49], [74, 129], [11, 80], [6, 68], [73, 125], [23, 84], [0, 48], [6, 80], [16, 104], [14, 74]]; loss = 0.013450 low_pass_filter = 0.300
+Epoch 0: | | 27229/? [4:45:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 27230; scene = ['c6d8b4ad1f0a29d1', '7a2ccada5444997a', '8cdf106989d7109f', 'c24a67f01f1b4d8f', '2fd2408f60edc901', '7df474deec3b804e', '6ef374c70b8143ba', 'e7ae5d42e1d888df', 'f9b775ee94d60763', '4009a342664a96e1', '893b447be20a73fc', '85b956080085cac5', 'f7f0c6e26e4ba0f5', '4690c960b7afdb40', '98735bf18e9d2a52', 'f346ad8f09bae95a']; context = [[6, 68], [33, 87], [1, 74], [9, 64], [7, 85], [4, 55], [0, 78], [29, 77], [13, 71], [38, 99], [35, 106], [33, 99], [9, 60], [26, 114], [55, 130], [10, 82]]; loss = 0.012819 low_pass_filter = 0.300
+Epoch 0: | | 27239/? [4:45:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 27240; scene = ['810f65b521c5649d', '52ff08cf915f9890', '65d52755ddf504a6', '05f68f205088615a', '4466e384294450be', 'e82f58c638cf3f5e', '23c52859f21f94ec', 'a9aa19912b72f767', '3b5f903cdb3d9583', 'e7bb9d4424f4363d', '1672c494acdf9a51', '177ec27d1a094371', '67b48a8ef26faa69', '119a8d557fdce164', '4dfcde19328905f5', '23753ca2861fceb4']; context = [[37, 85], [12, 68], [21, 101], [1, 61], [23, 112], [24, 70], [52, 141], [13, 67], [78, 155], [42, 95], [1, 76], [19, 66], [23, 73], [13, 81], [37, 105], [134, 217]]; loss = 0.015753 low_pass_filter = 0.300
+Epoch 0: | | 27249/? [4:46:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 27250; scene = ['2b0182cffdc9433b', '3dc0b3372b2e13dd', 'c6fa4e41f75c901c', '2a2e3da0444d2ecd', '73d493ff94578c55', '1c87d4883f49da92', '91bab928c4639b09', '9c70b01b66e2fabc', 'ffaaeea472f10ee2', '8260ddb8f461c1fe', '85b1acd514a44ea8', 'a9d91c876a707788', 'cbc1b9bd150cf5f1', '9abcabcd4c37b86a', 'ac22b394a79b025d', 'a53e027100dc417a']; context = [[62, 122], [15, 70], [39, 84], [48, 107], [11, 63], [62, 121], [106, 167], [46, 108], [26, 98], [51, 114], [14, 78], [8, 90], [62, 125], [35, 91], [2, 57], [114, 191]]; loss = 0.014588 low_pass_filter = 0.300
+Epoch 0: | | 27259/? [4:46:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 27260; scene = ['ce112382d7b21760', 'c63225bd2e5b66f7', '634f920c02c317c3', '15026daa578fa64b', 'ee9f906c4e9e242d', '95bda2557fd39b2f', '232a8c69d8f69af4', '04c3209481ae9313', '817235be1a7e4594', '7900807f65ac59df', 'bb2026b2cead287d', '85f61a2f217786b2', '0b759c1c970bfe98', 'a4c1fe839c7b6b5f', '3bf7857bb7d748c9', 'b654a339b448e249']; context = [[94, 178], [18, 78], [166, 246], [1, 78], [15, 68], [6, 63], [84, 142], [7, 68], [99, 178], [3, 73], [30, 78], [11, 86], [46, 128], [22, 77], [41, 101], [36, 103]]; loss = 0.014461 low_pass_filter = 0.300
+Epoch 0: | | 27269/? [4:46:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 27270; scene = ['d04a28d0772e76c8', 'cc25909697786aad', 'd063e47225f787c3', '871c5356143bef59', 'e4ba635ef37eef5a', '212d92ca9842dae0', 'f5a615c356cab245', 'd94e621b7a95c008', 'd6590efad5308453', '0a543133235ded4a', '21c70595a4f20e8c', 'f026c8f1c91ab212', '5733a66e97c4493a', '71f2526fd7a38f48', 'a8c67c7050608d71', '43ce05d6475da02d']; context = [[100, 151], [17, 64], [82, 167], [15, 86], [29, 114], [5, 53], [164, 233], [2, 57], [72, 140], [2, 72], [0, 64], [49, 125], [6, 86], [36, 86], [105, 179], [70, 139]]; loss = 0.016645 low_pass_filter = 0.300
+Epoch 0: | | 27279/? [4:46:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 27280; scene = ['92c2b94a7a82af88', 'cd55198f7d14cc0b', 'fba183cb9a4d4111', 'ff1b18892d833bd5', '76da738b80b894c6', '0b33181143dd3303', '23c1ccdbb82ee29c', '0935b1ed5367813c', '909da0bab82b1291', '7b2378ebd9c53c89', 'db537420efada436', 'dfd7ac5b3120d4d4', 'dd8f995702591ba7', '1899f9503591706a', '28e1889569b206aa', '9d4bb3c6783e57a8']; context = [[3, 77], [36, 84], [23, 81], [3, 57], [222, 270], [60, 111], [47, 95], [52, 137], [2, 72], [57, 143], [10, 92], [107, 196], [16, 64], [171, 251], [1, 60], [10, 94]]; loss = 0.013416 low_pass_filter = 0.300
+Epoch 0: | | 27289/? [4:46:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 27290; scene = ['359af2b0f4c26712', '9928ce087f146444', 'c21a7d55e154f542', 'b88db7960be465ab', '592c1eea73fa43a2', 'c301d66da36ab4f6', 'ea34fe29b32d99f1', '33adc68fe41da745', '9c248f0c3e94154d', '595a3cb5cccc8535', 'fb70fdf529b2bb80', '70a083177f9ecb2f', '5a2c007711617e35', 'd0739df246facf54', '74b87f166618c461', 'd783793c217886d9']; context = [[30, 79], [74, 148], [66, 125], [156, 234], [3, 79], [33, 87], [99, 157], [39, 101], [19, 101], [31, 80], [2, 48], [1, 63], [14, 92], [0, 52], [83, 157], [134, 214]]; loss = 0.011958 low_pass_filter = 0.300
+Epoch 0: | | 27299/? [4:46:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 27300; scene = ['a1ae89e690a4a7a3', '56d99f2651c2e40c', '8ce0d51d0982957d', '4ebdff8b4c93a49a', 'a80cb16e79664c79', '6434fa7bf139fd26', 'ea721fd4e3e0be8b', '75cbf5f3c4e202b5', '50727c2fc099f9b4', '8d53612ee7f88bc1', '2c1ea4ebc9475e24', '966efe3a05c222e3', '4b5e8159d8989d91', 'b1e4b35cbe3f6094', 'c43f6cb71bd73cdc', 'ad459619c3a9a247']; context = [[113, 172], [20, 68], [34, 120], [34, 104], [20, 98], [5, 87], [0, 45], [214, 268], [16, 103], [15, 63], [87, 134], [135, 217], [1, 71], [3, 81], [45, 113], [2, 82]]; loss = 0.011900 low_pass_filter = 0.300
+Epoch 0: | | 27309/? [4:46:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 27310; scene = ['33087de9d002ffd0', '91effcea642ad897', '615d5da2368e312c', '55ef7e7acbe84587', '3ec462170f378b3f', 'ef380960d4d8a206', 'e83f9a06c24e0a28', 'c19be054a8a456f5', 'ffeac84210d82790', '2ab54ca4d3ad7160', '2b223156f1eec1bc', '97dce5c8a9577172', 'b4d6d0191d7d437a', '478e89781cb7fe3a', '35fb9deb04278d8f', 'f752d201bf11aa7d']; context = [[1, 47], [1, 47], [20, 94], [12, 96], [15, 68], [28, 109], [110, 172], [56, 104], [6, 90], [12, 63], [5, 61], [4, 58], [14, 68], [26, 76], [8, 55], [7, 90]]; loss = 0.013269 low_pass_filter = 0.300
+Epoch 0: | | 27319/? [4:46:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 27320; scene = ['1a7a454827491346', '5a4a1a47759a6c0b', '4e442aff3cae4436', '383c79ab995746ce', '2efc3baf2ea0c6ed', 'd4bd95f0a398f630', '655bcaf421fdc40f', '8856d6c682a40bf8', '7ca10985084da77f', '45c36cbc30b2dedf', '571b1c65cb66df94', '0fa76784d2f468d9', 'e69b2e2b9909e847', '498aae6952e2e0ed', 'fa037f2a55450c9c', '3fd051acceb87333']; context = [[16, 93], [37, 120], [38, 99], [1, 52], [2, 82], [2, 89], [2, 62], [3, 69], [24, 109], [5, 81], [2, 72], [2, 85], [186, 264], [35, 90], [38, 123], [3, 72]]; loss = 0.014615 low_pass_filter = 0.300
+Epoch 0: | | 27329/? [4:46:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 27330; scene = ['cc21e3ccae1a9465', '5c2fbf97c6d68f2d', '70dd3ef971caa54d', '31913826b69a96a6', '6915a186168543b8', '07bf825918a85f50', 'de22770da73bbbf1', '32df185121315429', '9b4023216c7798bd', 'f80301703d292a0b', 'c92ef5fbc5fa1ba2', 'f729fcce20f5e06f', '5eda0406a5e02452', 'c874ebccecfe6add', 'a61018020bd0c545', 'a9e0d85c2f54cf4d']; context = [[42, 111], [48, 115], [24, 102], [162, 240], [0, 52], [93, 154], [22, 101], [96, 163], [0, 45], [113, 174], [0, 85], [50, 114], [6, 63], [25, 72], [5, 66], [10, 90]]; loss = 0.014723 low_pass_filter = 0.300
+Epoch 0: | | 27339/? [4:47:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 27340; scene = ['376891e5c574f2fd', 'fb0d624658f450a2', '0d4ded80a6003029', '5a2d7bd1aaaa9979', '16a4c73f7dfab404', '693e16057340bac9', '1e5d356b6e52ad00', '04c274ee7ff5faa4', '72b9601d75933b02', '39c680d0e2deb371', '1f7b83cb671a108b', 'd27fbd9800432849', 'b6e0a7217135f0ec', 'd347f976ced5d74c', 'a9bf3348f1e83705', '3f1ba6d26920ff8e']; context = [[1, 77], [78, 127], [13, 103], [6, 73], [7, 62], [19, 87], [43, 105], [2, 63], [136, 194], [7, 79], [120, 170], [84, 130], [5, 61], [13, 75], [17, 71], [7, 84]]; loss = 0.013127 low_pass_filter = 0.300
+Epoch 0: | | 27349/? [4:47:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 27350; scene = ['302094a42379bbcc', '92ef4dfd5f195078', 'b240297430c5fd0f', 'ee220a5b79333223', 'a090986d596da80b', 'dca7474ba5dd996f', '720cf6e310dbd418', '4908bebd5bf15fa0', '3889e4f29991c299', '56adaa848e8fd3a8', '470c8c2a36a8c2b7', '0fc343543da71493', '396ddb86bfd42bbd', '71a0dfdb3d2bd300', '3f075565092a0ab4', 'f75559c7b45644ac']; context = [[181, 254], [44, 121], [16, 61], [10, 64], [125, 180], [127, 217], [39, 91], [26, 85], [12, 69], [41, 87], [7, 85], [109, 196], [100, 152], [29, 94], [27, 79], [7, 95]]; loss = 0.018046 low_pass_filter = 0.300
+Epoch 0: | | 27359/? [4:47:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 27360; scene = ['77599310739d08b6', '96422d8d95f912c1', '607acbde108694e4', 'b5f5bd68eb8e3559', 'fc13b2d2ffbcffe8', '18e66f4ce4b016c6', '903f7c6f848de281', '5e1afe14aead7542', '644b75fbb7a4ae21', '1ac4cfaff40371ba', 'd5b16e5b51d9d8d0', 'deb466cc3488ab16', '53f1374e843f9f79', '74acf5f2f5dac8ff', 'a77a3415d5f25583', '9ee8d96d6bc2de0a']; context = [[25, 75], [5, 52], [150, 208], [8, 79], [31, 91], [19, 79], [25, 94], [3, 64], [15, 100], [141, 223], [31, 83], [52, 101], [5, 55], [65, 116], [4, 58], [174, 244]]; loss = 0.014002 low_pass_filter = 0.300
+Epoch 0: | | 27369/? [4:47:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 27370; scene = ['005c440a72e93b03', 'e3e872cb421fb27b', 'e62eb323e888a344', '015cc846a79bd3bc', 'd2effa96cf9396c9', '9444787f48a50cae', '35ac2da38eaff5c1', '6d59697bc66e7dab', '9fa1697870cd2212', '004c65679ce85f03', '8a116b2e6b29679b', 'a34309c2982d3cb5', '3a6d6f368b8950a7', '1986824dfd771829', '996350f54cc39508', '9fed4987d0de680d']; context = [[22, 99], [6, 80], [12, 95], [0, 47], [66, 153], [169, 228], [18, 68], [0, 51], [168, 257], [1, 88], [19, 95], [68, 123], [21, 99], [16, 105], [89, 137], [43, 89]]; loss = 0.011682 low_pass_filter = 0.300
+Epoch 0: | | 27379/? [4:47:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 27380; scene = ['3d1e57019408dff5', '4916da886a9554a4', '210c87d2cca1aa80', '61e79b9fd877be55', '8881315dba2d37e0', '17184d711324a8e4', '51ceead3b54614e0', '6e38d2e032c9eb99', 'a29c383c37994c30', 'e966bf8e70c6eb2d', 'fe2250f23e91261e', '46098a3607b75cd0', '600e0fb99c2b3817', 'f744455fc964a260', 'cc08397f41911501', 'db52871fc7ca0bfd']; context = [[42, 104], [45, 112], [53, 115], [89, 167], [86, 165], [3, 67], [8, 65], [3, 58], [117, 163], [1, 53], [31, 91], [40, 127], [27, 72], [31, 115], [0, 60], [125, 194]]; loss = 0.014589 low_pass_filter = 0.300
+Epoch 0: | | 27389/? [4:47:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 27390; scene = ['d75a2d501d06abb2', 'cafb7b387787db6b', '0f2c72ccf47c2cca', '0be127358da454de', '477f44d4c838a6eb', '4c768903212b223d', '43c9cb3a1f008f2b', '6bc8eee03ce7e03a', 'da3a6901f12a6e59', '0add7aa2fc8a9e51', '8c7aaf818d2ac1bc', '574b47c091a38f3b', '39784349a370f66e', 'c61c6958f937c185', '324325269759109c', 'e9dff02bf0ea5022']; context = [[143, 201], [136, 221], [46, 115], [98, 151], [1, 48], [89, 157], [8, 63], [10, 55], [113, 200], [11, 88], [52, 114], [17, 74], [130, 217], [3, 87], [9, 66], [1, 85]]; loss = 0.012488 low_pass_filter = 0.300
+Epoch 0: | | 27399/? [4:47:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 27400; scene = ['e952686fc1738a61', '5947dd1e10a23b7c', 'ef1fa8ad46c8a424', 'b5a4e0980cd9c9f6', '4e23f94bab54bcc9', 'b18af2824bde5451', '14650774e873da4e', 'a35cb35e346f53ec', '5124ebe5d4b1a159', '02eeda3b542d1d7e', 'e3df9ed8e798622e', '17c1137ab9e3476a', '6dd9d6b7d9cffbcd', '84f0427dce7aa8e8', 'fda12c961edaa2ed', '9df62c48e94a6bd2']; context = [[82, 165], [21, 109], [1, 71], [16, 80], [145, 191], [2, 56], [7, 54], [34, 116], [25, 88], [190, 247], [64, 135], [0, 46], [180, 250], [70, 158], [49, 132], [6, 65]]; loss = 0.014270 low_pass_filter = 0.300
+Epoch 0: | | 27409/? [4:47:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 27410; scene = ['4beff98ac10fb266', '22062ed897320134', '402071c2b1550820', 'fa051d0232ae8040', '8b8f7cd56fb6a696', 'e0b75e74fdeffde9', 'd281b8aa0b374a58', '74d1b65ab5dd2ba4', '89f25b63cce19665', '70e0679f69f34d29', 'd490835a644851f6', 'd28eca1192b1f893', 'f01941690640a037', '63b03ffdf040e716', '9f74175f064fe2c1', '3ded2824a525f9bd']; context = [[0, 46], [1, 71], [79, 126], [141, 219], [48, 95], [4, 53], [2, 72], [142, 217], [0, 56], [130, 185], [4, 55], [75, 162], [13, 100], [16, 65], [105, 193], [64, 141]]; loss = 0.016361 low_pass_filter = 0.300
+Epoch 0: | | 27419/? [4:47:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 27420; scene = ['b10f1fad87fc039b', '3a38588b6bbef648', 'a79e3079819474f7', 'af0c2e217035b91b', '8baff2c140c3d6c5', '5faaf84b234d10a9', '30f3cc76d343b9d3', '4612b184ef749925', '57ca2bd4051ca168', '483c778dc80e6552', '153403ea07df9eda', '8060b04ab454bb81', '1d3d9af5e8de4a67', 'cbddb92c8ec477b8', 'f107b68f4a5f2f10', '590f202b18a0a562']; context = [[49, 100], [21, 104], [82, 141], [1, 65], [3, 50], [11, 71], [14, 92], [4, 79], [2, 69], [85, 150], [145, 219], [194, 277], [19, 87], [43, 106], [158, 220], [54, 101]]; loss = 0.015242 low_pass_filter = 0.300
+Epoch 0: | | 27429/? [4:47:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 27430; scene = ['a174fcb28a82f814', 'a4c5e65a8a1fba1a', 'ed4fb330d57107ce', '8f19401489503eec', '0df956c4d55e4a13', '18629a884d3d0687', 'f63601b5eeb07187', '0b8b599b5df5692f', '246c5b6a15519b6d', '59caa671e1d05721', '904d8b97e9e93373', '3283be94eb01798f', 'cd62a0a0de875deb', 'd79b9aa34cf72412', '8c8885e9f17b9274', 'bc2e945b1756b46c']; context = [[1, 67], [37, 96], [21, 68], [5, 81], [101, 185], [0, 50], [68, 123], [55, 143], [4, 66], [0, 67], [4, 66], [5, 70], [74, 128], [131, 210], [51, 122], [89, 176]]; loss = 0.013346 low_pass_filter = 0.300
+Epoch 0: | | 27439/? [4:48:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 27440; scene = ['d4f0cd8777b3d534', '287f04b4d4c3d565', '90f8e4ba9584bb21', '4a53a9711f98a0af', 'e598c6c4d23a5619', '27b5502283386ee3', 'bbd574fc81d02bf9', '4610410bd5d02055', '4dce6855bd78d472', '73c5ddec7618bb6e', '4213a78b00a65962', '463a721c706cb237', '49f642c0373c7e78', '9819b646b98a16cf', '2e72193bbf197bd5', '9c72bd16d6b22437']; context = [[23, 72], [4, 68], [19, 83], [1, 84], [80, 134], [1, 51], [0, 86], [155, 215], [1, 71], [64, 144], [77, 126], [53, 140], [146, 200], [202, 249], [145, 200], [35, 116]]; loss = 0.011452 low_pass_filter = 0.300
+Epoch 0: | | 27449/? [4:48:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 27450; scene = ['6ad946dc7c7a5ae7', 'fcc7db4ad1f2444f', '1ab73610902ef496', 'afbf21db765f449f', 'cc0f96cc71a6dd66', '8ec32dd001a2b529', '129aa9e63c248582', 'cc3fd68dde81b99c', '4f5b3ac56f06c59f', 'd6a92c9fc0e93fcb', 'db999dde95ae1ca2', 'd4526089dcdeca47', '7ce63773b0ebc14b', '3faad0030fe08d62', '208d8bd420d5ae84', '8774981ec66bb258']; context = [[108, 189], [64, 118], [10, 85], [3, 51], [9, 73], [14, 66], [11, 75], [39, 114], [74, 135], [5, 51], [0, 69], [6, 87], [20, 97], [0, 48], [10, 60], [94, 173]]; loss = 0.014633 low_pass_filter = 0.300
+Epoch 0: | | 27459/? [4:48:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 27460; scene = ['91896476568cac8f', '0aa0d05615ff0dc9', '0e787df8d4563062', '3cf744c34871eadc', '8ada6fff29b3b613', '116ee6fedf11a97b', '0e35a4ea8479dc7e', 'a757a868066e6eda', 'a9a90dce82fa4ced', 'c047664405f15873', '39035161d5f665ba', '1e3d79dd018ee0ef', '601f958df441c7c3', '509c0508abb2ba89', 'dd9d19ccfa8af8c3', 'e1e9e69901a40e12']; context = [[13, 87], [101, 174], [6, 77], [19, 91], [6, 66], [1, 68], [5, 57], [8, 73], [17, 86], [73, 130], [24, 86], [8, 64], [26, 83], [135, 212], [20, 93], [71, 135]]; loss = 0.016015 low_pass_filter = 0.300
+Epoch 0: | | 27469/? [4:48:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 27470; scene = ['f1e0fc96c0c84a64', '44e220cefe7bb7be', 'c9ba5f457926c590', 'f464ca10aeb319b2', 'fb750a5ea96604dc', 'bdd54254ce33879d', 'a2379d62fc9f4644', '3becb8b0325bde6f', '1db056553a89dd50', '4dd909d8988b412b', '0c00add2df364424', '113bfc07b50ce2d4', 'a26a41da71dd633a', '5df5b7738e92dce6', 'ef8677a5404a270b', 'a0a6cc4af28f401b']; context = [[39, 90], [16, 67], [11, 88], [121, 190], [9, 55], [65, 123], [4, 53], [29, 90], [11, 57], [4, 52], [122, 203], [15, 70], [125, 200], [182, 272], [30, 120], [6, 63]]; loss = 0.014317 low_pass_filter = 0.300
+Epoch 0: | | 27479/? [4:48:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 27480; scene = ['0e62273ed3ef91ee', '178ca92e6939c0bc', '3fc4d99af68cedb3', 'e80fccd03453b167', 'd4db0477e6a51b9f', 'fbdcf089b0890ae6', 'cee4b55b538a7310', 'b54ba5c46655231f', '4f5b3ac56f06c59f', '3faad0030fe08d62', 'd6a92c9fc0e93fcb', '7ce63773b0ebc14b', 'cba0a5697eda0832', 'db999dde95ae1ca2', '15300277e84db888', 'd6c0a3a33f6f38fb']; context = [[100, 158], [3, 67], [5, 68], [46, 128], [16, 82], [14, 97], [9, 55], [65, 147], [85, 149], [0, 49], [30, 97], [11, 80], [0, 72], [8, 66], [0, 46], [50, 138]]; loss = 0.013790 low_pass_filter = 0.300
+Epoch 0: | | 27489/? [4:48:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 27490; scene = ['35201a83d56ac328', '43380f3f0564d505', 'f66ff8cceae03868', 'a007a9915e619f8b', 'c82b6ddaa61c4351', '31c3e0e9d2403cd5', 'a0a53f68abe200db', '23a56f1e69fd6165', '851dd950cdbcea17', 'de04614869f13198', '38cb72f45726e75e', '41afb11f5185a7a5', 'c7202c85a42f828d', 'b8f7484d344eeda0', 'ca0ef4335afc5644', 'a16a0940ea913a28']; context = [[121, 195], [2, 65], [115, 198], [17, 64], [77, 128], [100, 188], [3, 79], [23, 107], [60, 135], [0, 54], [19, 95], [15, 91], [2, 72], [44, 90], [18, 95], [51, 112]]; loss = 0.015733 low_pass_filter = 0.300
+Epoch 0: | | 27499/? [4:48:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 27500; scene = ['0f6c4e8f67bfa0ee', 'c61dd70f9cdbb5ae', 'adaeedc8b4e18bcd', 'c509e6e7aee4fed8', '9e96c9dd6e3fc876', '7518b4660275a25a', '3c8cc7b6f503fdb3', 'abfb743f58304c93', '92f95119adcf6932', 'b5467bb8093847f4', 'b521e48458876a0c', '1cfd6abc90a49445', '90daa00e8511dc42', '4bd3f7b081be9424', 'c38816ffe6b2c633', 'a308376472392fc6']; context = [[7, 90], [27, 106], [44, 109], [7, 80], [41, 130], [0, 53], [5, 55], [50, 121], [4, 68], [134, 208], [6, 65], [4, 74], [34, 82], [41, 114], [34, 124], [5, 66]]; loss = 0.013463 low_pass_filter = 0.300
+Epoch 0: | | 27509/? [4:48:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.0train step 27510; scene = ['44a1b98a02b5ac08', '0270b9d12ac462c1', '9c6c8ca5534bc61d', 'aa1ae4fd4978f24d', '08987ea1371974b0', '1d8a56c08e3276cf', '610e089703fbf242', '8be1d279b9a576fa', '982b49d62fce9a8b', '880ce15f4c5534f5', 'c236a71b90766557', 'f20d239e72115520', '7808917f0ae566fe', '11f312ad09ee6d28', '4f40c57cfb094233', 'fd49de1335b98352']; context = [[9, 62], [36, 90], [0, 80], [0, 85], [12, 61], [5, 82], [34, 96], [117, 201], [102, 180], [90, 161], [16, 87], [0, 56], [34, 105], [42, 126], [0, 83], [78, 166]]; loss = 0.016556 low_pass_filter = 0.300
+Epoch 0: | | 27519/? [4:48:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 27520; scene = ['8266cb4dd06d753a', '87a6c100429590f3', 'da90c9dc0f6502e2', '76b86db69a42706b', 'efb18ec13c798dc1', 'bc74ad2a279e2f06', 'f0c9b2f1ffee3826', '520042b8f6b60fc0', '3692aa2fcb9fc76f', '9be4f3ccea766a3c', '36333e8f8b17b87b', '782d8b471d07d7b7', '1f23ff34bb3a2684', '7b23671474e586d7', '8ed43c486029355f', '64f5cdc51f304146']; context = [[215, 269], [23, 82], [108, 172], [6, 57], [54, 101], [8, 77], [4, 91], [6, 66], [59, 147], [80, 147], [5, 69], [3, 84], [127, 173], [0, 58], [37, 94], [196, 273]]; loss = 0.013371 low_pass_filter = 0.300
+Epoch 0: | | 27529/? [4:48:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 27530; scene = ['f7c53a68d68875f4', '174ececf4806c75f', 'e3e576f5e8270112', '865900d9c2b663c9', 'a42dd17c389a1fab', '97e078e5763d88f1', '0bded1b4113313ff', 'ddda9d33b08dfba9', '99ffbbfdbff0fd88', 'e57e3d971314fb8c', '069013b86c2b5e99', 'b6a2c8e67ca5da99', '8d7eb1bbf8729a14', '34dfa3f97b956c75', 'ac7cb7de0f9685ae', '5bb0264b89a68394']; context = [[86, 134], [215, 264], [21, 71], [15, 60], [6, 80], [5, 95], [21, 93], [10, 63], [19, 65], [80, 166], [14, 77], [10, 77], [12, 67], [22, 85], [33, 95], [4, 84]]; loss = 0.011658 low_pass_filter = 0.300
+Epoch 0: | | 27539/? [4:49:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 27540; scene = ['261f61fbca37af10', '7e222459fe265c73', 'f5e655feece74b9f', 'e16961addc615afa', '0a0e71514910fd78', '7a0b1851a61a8b2a', '48bfd4a084802a9b', '9cc7f300dbd2b155', 'dc4f4eeb518621ba', '1fd8f49dc1856d19', 'f5555cb7c50f4cc8', 'eb5bb02bc048311b', '542a17e17282b837', '91fb18afb0b2b05a', 'de479f6a023d7c54', '4ff700fcc3295022']; context = [[13, 61], [0, 83], [24, 87], [72, 152], [173, 251], [28, 117], [77, 150], [115, 169], [28, 77], [24, 104], [71, 125], [1, 86], [37, 124], [14, 103], [33, 85], [162, 220]]; loss = 0.012912 low_pass_filter = 0.300
+Epoch 0: | | 27549/? [4:49:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 27550; scene = ['a24b9835a33fb46e', '89c03784240911c9', 'a9a1efdde077861a', '521aa01f117a1f3d', '009e573e59c8c393', '4da0f9a3b1ca2560', 'fda481eb3ffc890e', '997656bdb430ad43', '4c952c27612a3ac7', 'bee292458a6d4570', 'a7be8ac8c721114a', 'ee147644fcde3496', '60ac2ed64f533db5', 'f682d1c5b8431f46', 'ff31443559c4d114', 'f804e1cc0ac26412']; context = [[36, 90], [59, 113], [147, 222], [5, 79], [5, 65], [5, 59], [2, 52], [13, 95], [60, 149], [11, 96], [8, 95], [14, 92], [5, 51], [152, 201], [15, 78], [9, 59]]; loss = 0.012398 low_pass_filter = 0.300
+Epoch 0: | | 27559/? [4:49:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 27560; scene = ['3a5ed5673424428c', 'e35efbb0c598de5c', '03805e0aecc9ae58', '2bc08ab9bd25f36e', '033a6f5499fd4763', '51821a6255cde575', '3912f6aa47883716', 'ba9887bc9330e87b', '33e221e99837ef27', '14a1d83250bf6a20', '34cd5d4903ea9a76', '344882d6a7f4863a', '9a44a177182dc2ca', 'b6533ec6db201f28', 'b4ff644fc5cc9cc6', 'dd38cf3bee30e7b8']; context = [[0, 70], [8, 61], [9, 61], [6, 90], [24, 97], [167, 213], [18, 66], [1, 58], [17, 97], [24, 73], [3, 74], [3, 50], [67, 120], [16, 80], [46, 94], [0, 68]]; loss = 0.010875 low_pass_filter = 0.300
+Epoch 0: | | 27569/? [4:49:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 27570; scene = ['785b4e92df170c53', '8717033b0c015117', '1cb6b3a29a639e63', '88738a0216eaac3d', '3cc8d06011dd9207', '1b27574df699e0f1', 'b868a5e2c04c318a', '303d4152e23ed544', '293cd4ea27b9d506', 'cbf08a650761cb10', 'b5eaddf4ac5c6f62', '4b1ee57bdbda4b1f', 'c7844a02eecf3a20', '57fea3ba60e21f7b', 'd3e34d281b05cfbd', '4c206a668c76614a']; context = [[8, 69], [0, 66], [2, 67], [0, 61], [1, 70], [3, 84], [4, 88], [21, 103], [167, 246], [145, 196], [88, 144], [4, 52], [10, 80], [45, 107], [43, 121], [1, 88]]; loss = 0.016182 low_pass_filter = 0.300
+Epoch 0: | | 27579/? [4:49:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 27580; scene = ['9c6dbb44ea9811f4', '137af3bde9d9b5f7', '5312ab668858f2ab', 'f8a68e1e4a265f57', '6349ab522cc11c42', 'a78affb518c2e2c2', '3f0cf2bff697d8cf', '38521be537d8a9aa', 'dee435320ceec344', '5df5c5216840766c', '468e9fdaa3224fce', 'c260ecbf582b8dca', 'b3c2eaecfff1ccaa', '8fec1e2289d578c4', '75cfeb226b47a5a1', 'a58bd21f7b45e7b5']; context = [[49, 130], [0, 71], [150, 200], [10, 65], [0, 53], [6, 77], [7, 72], [1, 75], [24, 86], [0, 46], [0, 70], [30, 83], [0, 47], [10, 87], [24, 113], [110, 165]]; loss = 0.012570 low_pass_filter = 0.300
+Epoch 0: | | 27589/? [4:49:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 27590; scene = ['d7fb7b88fd47f52b', 'd570e5a0fb8cb0dc', '513387f570e90685', 'ec566b032c6b292c', '83367460bb8f8e08', '5fee2a8842119d20', '6c7ce055268c4ac2', 'd056616f1161714f', '6d30e1b5d8163113', 'fd963440562d481d', 'f238639469409cd4', 'f7b81720b3bcaf7b', '56ee1e154f94be42', 'dc5b8a1244a5d75a', 'ed6a7c0d24b57a50', '9700e1ed86283bf5']; context = [[0, 89], [3, 78], [0, 58], [8, 87], [4, 57], [2, 54], [24, 79], [10, 100], [32, 107], [2, 47], [81, 136], [0, 62], [2, 78], [0, 53], [14, 73], [6, 56]]; loss = 0.014221 low_pass_filter = 0.300
+Epoch 0: | | 27599/? [4:49:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 27600; scene = ['bb326b22023bb1c3', 'ab9129e394e44ed8', 'c3cec39b97315eef', '5ed97c63db29a026', '1dc21884784fde0b', '13d807ca41a87e84', '4714e4012c55f466', 'ce56fd4667f845df', 'd99bc927fc414c61', 'b96d03ef450db8c6', 'ca7a9b0af8757d37', '469dea2a027fbf29', 'ec9c2a32d19bdf0c', '55a7b7aaa624c8aa', '9c350ab081d20885', 'a5d0ef34f899ecab']; context = [[25, 89], [0, 46], [108, 155], [6, 63], [22, 71], [9, 97], [11, 82], [12, 80], [83, 159], [66, 152], [2, 92], [0, 53], [1, 71], [7, 81], [5, 81], [167, 245]]; loss = 0.014070 low_pass_filter = 0.300
+Epoch 0: | | 27609/? [4:49:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 27610; scene = ['ab4eb07b5cd0708c', 'df984cc069d0f1ec', 'a0d4bb61c90ccebd', '56fa56169dcf0003', '1562c1508e0a378f', '32cb26b069d88a69', 'eb8b1d524bf52cba', 'ac88ae235830409c', 'd4775a73d902fab3', 'a8f4d62bdcca98b6', 'c08c569763ecf197', '5e5c0b5bea854803', '4e6b5b48208082ce', '2a15c529dc6ff2c0', '92fc6b3fccfd274d', '3b3eac398b0f59ba']; context = [[77, 163], [19, 87], [110, 162], [77, 133], [158, 219], [99, 159], [14, 82], [39, 125], [47, 125], [30, 113], [151, 229], [131, 187], [90, 180], [76, 124], [3, 58], [180, 226]]; loss = 0.012697 low_pass_filter = 0.300
+Epoch 0: | | 27619/? [4:49:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 27620; scene = ['b8fe4b85fcecf9d0', '89ce6d17db6c000e', '22b92b810ad7a1b4', '1026df919a619aed', '840c6861dc8d2e81', '54d2baaeaa94322c', '77eb84c93e05430d', '8dff4d80838a3bcf', '7fadaee09a7bafe8', 'edf610ba6648ab57', 'a6f7412a3eeb2673', '98d0db43abc33420', '7835372c86179bdc', '84379435bdb46885', '5e6a441cce57df41', 'cd9cac26eee129bc']; context = [[200, 247], [0, 58], [8, 71], [12, 100], [12, 76], [0, 80], [2, 48], [8, 80], [6, 82], [2, 80], [109, 166], [1, 46], [180, 258], [36, 106], [21, 76], [24, 85]]; loss = 0.013697 low_pass_filter = 0.300
+Epoch 0: | | 27629/? [4:50:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 27630; scene = ['4e51832db28d7a2f', 'b9f12695db134381', '7f68605e483cb231', '6679f59d495204c0', '7dd74970fdc4c81b', '629e4849c3d26620', 'b6af197151ca0543', 'fde72c5779d294aa', 'a4e0f20145b56429', '3f5a3f57adf8a7da', 'a69c46f6bf343d2c', '160964a6d48aebd7', 'c93f8db3889b8147', '9e8ecfc74a51c2e6', '56fa185e2826487a', 'b57f18d01f582bb4']; context = [[0, 50], [2, 52], [2, 75], [5, 65], [29, 109], [3, 50], [28, 102], [178, 239], [0, 46], [85, 133], [199, 272], [6, 87], [73, 154], [47, 113], [39, 96], [2, 52]]; loss = 0.013960 low_pass_filter = 0.300
+Epoch 0: | | 27639/? [4:50:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 27640; scene = ['da65394ba9286a06', '13e3f8416df0e4a5', '31177e3090079870', '4ca19f3a5dea6391', '8b634dd80fe44d1d', '9e16686cff67cab1', '90c5b3052fd20e29', 'f7fc315b2c2ab371', '8dcb65a86df04796', '5cfa9a2995f6c3e5', '2e3fba29b0ef9eb8', '47c705d2d6d65b23', '3812f04df4ff98d4', '581dc4530a0333dd', '176f71a3cc338d8f', '62c6c5f93e65ccd8']; context = [[26, 114], [109, 181], [62, 112], [13, 65], [203, 257], [15, 64], [68, 148], [88, 172], [20, 86], [186, 258], [6, 77], [39, 119], [27, 116], [118, 196], [46, 94], [18, 63]]; loss = 0.013056 low_pass_filter = 0.300
+Epoch 0: | | 27649/? [4:50:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 27650; scene = ['03b0897d5a356df4', 'c38835db6bec2825', '9afdbb292342952d', 'b5f39f444ec03cee', '60a584cf224950a4', '373ce003d1e0bdb9', '3ec1eeba0cc084af', '7c6d160c26de6887', 'a9c6fdf06c6b4216', 'b86f88d0d21318cd', '34037b62eef60172', 'f8ee5a395e856a9d', 'c532c6f1dbe975b7', 'c0e9d9f4f60169e0', 'fda12c961edaa2ed', '46fba2ccb0c2f48e']; context = [[26, 71], [8, 94], [13, 65], [11, 89], [2, 76], [131, 192], [14, 102], [141, 219], [0, 45], [19, 94], [12, 69], [39, 90], [37, 93], [3, 77], [17, 86], [10, 76]]; loss = 0.014681 low_pass_filter = 0.300
+Epoch 0: | | 27659/? [4:50:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 27660; scene = ['114d1d0b142f87c0', 'f49334b723f7ee98', '212f736c5bd2cba5', '8efaab78c3e2388e', 'ca31f5df8294e2ef', '5dd1c7fc822c0b3f', 'bbaf39151b2da748', 'baa5664b5ea5348e', '34ba90ddf627908b', '85e1e791eaaaf4a9', '86f694603e158bb4', '1ccbb12d8c77d39d', 'e658243703c9a718', 'd1076443c11000db', 'a28ad2d48bc4933e', 'cd916eca6a5850dd']; context = [[7, 67], [15, 68], [169, 223], [58, 125], [55, 108], [13, 62], [4, 81], [0, 54], [4, 76], [148, 207], [126, 198], [117, 182], [198, 259], [54, 112], [176, 252], [73, 146]]; loss = 0.011758 low_pass_filter = 0.300
+Epoch 0: | | 27669/? [4:50:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 27670; scene = ['eff77869db95b3f3', 'a9692c2a61ab7c4f', 'e3ec1ae2b42b68d0', 'f274e9ed82024464', '563d7aae195245a3', '8e14947cbe7ba7b0', '6d76c97f029b15d2', 'dc4dedbd9d472148', '00b8297bf8e2a9ba', '24caa3357e419156', '80398288f8500b3f', '803603d87459c7ab', '617ca1a7fe197ff6', '98bce8609c8a60c3', 'f7748e4b308efdf6', 'a7000ffb637433ee']; context = [[40, 86], [32, 84], [134, 211], [38, 96], [4, 50], [43, 105], [0, 45], [83, 139], [24, 79], [56, 120], [173, 233], [100, 161], [139, 211], [97, 160], [5, 54], [0, 45]]; loss = 0.013044 low_pass_filter = 0.300
+Epoch 0: | | 27679/? [4:50:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 27680; scene = ['7635a7d77f3d9430', 'dfb7bad8245ffc20', '81c70e9ef4cc4b19', '05bbc9909ddbc3b7', 'd2d1e88def2d5190', '11a11baafff47174', '12896094012ead34', '09ce74a8f4a80e29', 'e44d8ddd3535688a', '0cde44f566b2a805', '7c996dd6ba66b365', 'e4cf75733dbed315', '661d465e98bec126', '5cc5a65c5d2b03ee', '102d19c9e7f4cbf8', '1bc367ba2b28912f']; context = [[142, 209], [88, 152], [3, 49], [156, 212], [21, 70], [3, 74], [119, 194], [16, 76], [8, 68], [14, 84], [0, 51], [13, 87], [12, 80], [5, 62], [8, 70], [94, 184]]; loss = 0.014644 low_pass_filter = 0.300
+Epoch 0: | | 27689/? [4:50:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 27690; scene = ['357c34539592a013', '6383e34da3d854b8', '820573908a201094', '2c4d6e1ce80f67e7', '7edc324af44f5ac0', '2a5a8eb588d31b58', '56346d67d610fe19', 'b52d7d44173411a4', '7ebcd2a034b30c51', 'f93f717921f966d4', '899b123560467168', '1b4c8f4eec6b6036', 'ca4826b99127d53e', '0d49d0970586d7e0', 'bce98e8b68871207', 'a77f347b88137277']; context = [[113, 174], [46, 95], [152, 201], [3, 92], [0, 48], [80, 169], [16, 94], [5, 53], [93, 174], [6, 56], [142, 213], [3, 55], [135, 208], [18, 69], [1, 51], [17, 76]]; loss = 0.012207 low_pass_filter = 0.300
+Epoch 0: | | 27699/? [4:50:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 27700; scene = ['793a69cf114b814a', 'cc00a1b790a55930', 'd7a25e4d365e7ffd', 'aae3d38a0c87c7b9', 'e44f5c6ad96bacbb', '25afc625ca2083d0', '61152f7f13e6ca70', 'b24f0b89fe81c75f', '3aba94892a572bda', '6dc932b8fa9e45e2', 'ac47a40506588f1c', '99cccaa6de050ae8', 'ea0d6a4426f69bcb', '035796a705648437', 'f64be4d4702419e9', '51867713f952190c']; context = [[25, 81], [138, 227], [2, 47], [6, 53], [7, 83], [6, 87], [9, 96], [1, 77], [4, 77], [6, 70], [43, 101], [145, 217], [74, 136], [47, 94], [35, 84], [10, 71]]; loss = 0.015690 low_pass_filter = 0.300
+Epoch 0: | | 27709/? [4:50:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 27710; scene = ['40e8811702f8437e', '3fff43daf78cf5c6', '5b38600054300759', '0d7c648be0247e1a', '23a912484f1d03b7', '210097cafe1197e5', '17b8861273e45cfb', '75b49ea00abc6209', '299dcb99c47bc017', '10d7fe70f1a0da09', '84e4a70283bc8836', '94e0d690b5520513', 'a21fe9049dd4f031', '717f2ec498319bd2', '43715c109fe873c0', '62de473c850d20da']; context = [[2, 75], [20, 95], [4, 80], [5, 64], [0, 56], [7, 66], [4, 77], [1, 75], [14, 86], [3, 67], [46, 92], [4, 67], [81, 153], [21, 92], [0, 83], [65, 146]]; loss = 0.015814 low_pass_filter = 0.300
+Epoch 0: | | 27719/? [4:50:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 27720; scene = ['c177f074e74a1024', '14b3067edde30f05', '5bfe0cc76a6cb010', '8234b72a07732ef9', 'c7da415dc7750495', 'aba410d7c6252b5d', 'cea3aced325924d4', '26545139203aa7cf', 'd8dff4508be8a6da', '6267c33b2736b6b4', '2c4a9a5598f7aa44', '6c702b024c54ffa9', '7f49dc4bf2fa2cfc', 'ca0381510721729a', '5a328134197a99e7', '0a487a89dfa1fb4e']; context = [[25, 87], [3, 78], [6, 66], [11, 63], [0, 50], [4, 57], [38, 84], [5, 76], [37, 118], [12, 71], [122, 193], [2, 56], [15, 71], [8, 66], [31, 83], [25, 106]]; loss = 0.014128 low_pass_filter = 0.300
+Epoch 0: | | 27729/? [4:51:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 27730; scene = ['50257f2e2bc5875b', 'e05d4aef41dc0ed2', 'b88ef9cd69018875', '03972e52d77a20b6', '28b87a68151c99f0', 'a411da0cb83db31e', '517af5c535add918', '1cde7127113c829b', 'ffb1d4e9451f6179', '41604466a452f8c0', 'c96145c2c3c0899c', 'd3f720cb5f3a67a6', '97e0f30c6b35264b', '209d65e786784b86', '8694a025d8c18e3c', '4f7381df99227904']; context = [[77, 135], [1, 59], [57, 104], [95, 143], [26, 96], [14, 63], [2, 86], [10, 90], [21, 107], [35, 99], [70, 155], [123, 184], [133, 181], [1, 69], [9, 58], [13, 74]]; loss = 0.013507 low_pass_filter = 0.300
+Epoch 0: | | 27739/? [4:51:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 27740; scene = ['d557059edc4a3cfb', 'c687ac8a9b77d0c1', '413118d49090df43', 'f05c6680913f8c6a', '51cf713bb5c710cc', '5ec51c185cd463fd', '7e8c18270178b225', '07f09a928375d0c6', '86501c30562af92e', '45c50be0ced34217', '0662222d7f246d7c', '8dece22e0e59e1eb', 'a329004f4d0df0c4', '4a4c7ec072d5e873', '5d128926c1792da9', '9bdb078481fe6346']; context = [[21, 103], [79, 164], [176, 221], [14, 89], [5, 81], [4, 70], [0, 45], [109, 196], [3, 67], [31, 77], [3, 51], [5, 89], [12, 61], [0, 48], [53, 106], [9, 70]]; loss = 0.012105 low_pass_filter = 0.300
+Epoch 0: | | 27749/? [4:51:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 27750; scene = ['27cf7ba27eed1eae', '0abbdaad60ccd753', '1fe3e0dfb0bebffe', 'f8f0491a2268ee5e', '14b48961c5e1364c', 'f5994df2f00989cd', '98e402ee105f6914', '50468b60ba969ac2', '8584c04ddd146c01', 'da9f2aca4d24cab5', '22db60f027ff4c9c', '4d6710d444e96c0c', 'c0be824295e236f4', '6dfaec91f745fdd9', 'ae558864399fd682', '96dcb0a7845a1ab6']; context = [[13, 84], [154, 226], [11, 65], [16, 73], [4, 69], [19, 92], [83, 153], [14, 74], [135, 224], [13, 66], [13, 81], [7, 62], [38, 104], [0, 46], [141, 206], [4, 54]]; loss = 0.013692 low_pass_filter = 0.300
+Epoch 0: | | 27759/? [4:51:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 27760; scene = ['677e8ff48506dc49', 'e705e9ebe38e0f37', '7d900c809e896e32', '232777ce6c9eabc0', '7ee2c0f45d7cb0ac', 'f28bac496ee97345', '5176c714d2e72855', 'a5bcf7c72eb10c48', '0bc0b77faeecd0cf', 'ed1cd4f9d797bde3', 'c1397ab617a28acd', '59e7800dec3fa9f5', '3127753a1ad207b2', '152d6d3ac836afd3', 'cb6b282e7c44622d', 'a7b100af4382ac01']; context = [[17, 69], [14, 65], [57, 107], [13, 86], [4, 74], [15, 69], [0, 55], [206, 259], [172, 254], [125, 188], [79, 133], [2, 68], [5, 51], [12, 82], [21, 82], [3, 61]]; loss = 0.014244 low_pass_filter = 0.300
+Epoch 0: | | 27769/? [4:51:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 27770; scene = ['2e85576ff5afb399', 'bdfc741d33921386', 'e213cde371d1a0e4', 'deddbc4bb1da2bdb', '6f3834a9fcd65e03', '8a6a910d78e80723', 'f97967e519b2c2bc', '856f7529b5f2d695', 'a20ae87b38ffe511', 'be75b076f8c08cd5', '0eb64683896cd309', '0ae58aa19818b174', '9fee922b8616f248', '7756f38f665b6069', '1f53797838bbfb74', '9b91b65722716f0d']; context = [[26, 86], [141, 196], [22, 109], [17, 68], [78, 124], [120, 178], [13, 76], [14, 59], [95, 143], [68, 115], [45, 113], [154, 222], [8, 53], [105, 181], [5, 55], [199, 262]]; loss = 0.013817 low_pass_filter = 0.300
+Epoch 0: | | 27779/? [4:51:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 27780; scene = ['3f869d7524f5cc0c', '2b21a54efdc5de8b', 'fb66585f6360b36e', '00407b3f1bad1493', '7e298b879dc6b10d', '4c40c57cb20e6920', 'd8abb08d528ae88f', 'd0e2b5d6dcaeff7c', '2de9e39deb77c039', '3e3ee1f9aa5e1c5a', 'c172fefa8dfaec4a', 'cbc2831917a97cb8', 'b0fea728bc83b595', '58da510f517858b6', '3c99b5451264d6aa', '41b9c051d5df7dc0']; context = [[131, 213], [3, 64], [32, 114], [29, 82], [34, 122], [0, 46], [6, 95], [51, 120], [11, 84], [59, 110], [51, 135], [104, 190], [41, 104], [107, 186], [2, 62], [8, 62]]; loss = 0.016706 low_pass_filter = 0.300
+Epoch 0: | | 27789/? [4:51:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 27790; scene = ['530d3c01ce18ca54', '2f6509d6f7450218', '23bdfc2b392ecc77', '3fbe4b9b2504b6ab', '1f20694f5f384cb7', '3313d34cecb8ea00', '31c92d0f254f362e', 'dd557a170117fffb', 'a889284787c43ed8', '9d21cbd90058625a', '82ced1ca6374f303', '4d922ea16b89b7bd', '0b2346382f932fa6', 'c01837c347f1243b', '9ebc1fd8710ed8ec', '5e11b9ca4ac7043d']; context = [[13, 98], [7, 87], [68, 114], [68, 152], [202, 259], [4, 66], [17, 101], [163, 221], [35, 124], [0, 55], [37, 89], [161, 251], [5, 50], [172, 227], [37, 89], [2, 83]]; loss = 0.014812 low_pass_filter = 0.300
+Epoch 0: | | 27799/? [4:51:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.0train step 27800; scene = ['97b862f1d02a28b8', '049240ca26d08a37', '4221357c9b9818e4', '87d93f1c153be5f1', '5e9be6072d8a74b5', '190ca8283349ae9f', '37ff82da68ba6bee', 'c9bff9622c63aea4', '6175bdc7df037dfb', '854d8a46a26c619e', '7c8273fb4edb67a7', 'e061310070ef88ae', '1d24bc78932327f2', 'ec41cf9747640cc8', 'c4836e907672efff', '0ec72bd0390fe1b1']; context = [[130, 218], [27, 80], [6, 66], [2, 52], [4, 64], [39, 114], [23, 103], [25, 70], [61, 142], [3, 62], [10, 59], [72, 161], [13, 64], [19, 81], [64, 109], [3, 64]]; loss = 0.012724 low_pass_filter = 0.300
+Epoch 0: | | 27809/? [4:51:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 27810; scene = ['e5da5035d5cf1047', '909f9937eed27880', 'c09c922d2505ce6b', 'af4d7b5f270b9f1c', '9055041789f01a42', '23d9737abd092875', 'abaa09068432a694', '172722bb9e5e9e55', '806963c2d53faf94', '96d77693e54350c7', '5ed75ec6df343f5b', '8f22e9a311fc7127', '81954eeb7c50183d', '824a064f8ab1cf0a', 'a0f9a5c04c8e602b', '3834d878ae1525c6']; context = [[46, 132], [7, 95], [7, 55], [14, 72], [0, 46], [19, 80], [6, 75], [0, 70], [1, 90], [14, 62], [5, 63], [3, 61], [1, 51], [129, 181], [10, 71], [29, 88]]; loss = 0.014958 low_pass_filter = 0.300
+Epoch 0: | | 27819/? [4:52:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 27820; scene = ['66d2b33c45bf9ff8', '23d89b926a4e9ada', 'ba67f70b5b0ec072', '829dee1b037f367e', '33d44d22ca5117fd', 'b077b634286dbbe9', '819b6af73885034e', '53a8bb87641bd35b', 'b8e76ea0476fe482', '3f62f46c54c21cf2', 'fc4e64a966b2af97', '7dd4d8b4dc082dd4', '482b604002f1a227', '42a3daae34acb6d0', '2c69823bf64bcfa1', 'acef2a117f896650']; context = [[13, 58], [4, 53], [122, 195], [1, 62], [3, 53], [15, 68], [16, 87], [133, 193], [3, 52], [0, 71], [75, 150], [6, 61], [10, 64], [14, 73], [2, 56], [1, 65]]; loss = 0.014472 low_pass_filter = 0.300
+Epoch 0: | | 27829/? [4:52:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 27830; scene = ['889df274fb33cbfa', 'b8f75b0a26e4822e', 'bdddd6b555bd7d85', '2ec1826051bb1815', '44599da1297cd145', 'd73bf29f658f0e6d', 'ea349b83bf98063d', 'e7312ad2bdb7ced4', '11569327e72a1ee0', '30ef5f553648df47', '3f62df9974f73102', 'ec680845c6a7295c', '54c8e9c778b2fad8', '26b8c9221b370a6a', '6aee2575a2c97d19', '1de9cd4f82ee4ea3']; context = [[26, 83], [8, 94], [22, 82], [16, 97], [3, 86], [11, 88], [0, 48], [83, 136], [0, 46], [13, 83], [12, 102], [27, 83], [57, 104], [30, 75], [18, 93], [98, 167]]; loss = 0.014635 low_pass_filter = 0.300
+Epoch 0: | | 27839/? [4:52:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 27840; scene = ['b5550b977904cd1f', '03e725043bbd34f9', '8a0a3c7df6ffbd82', '6db759d88e9613bd', 'cd2d0358c4dea897', '276adc2b47826979', '6c26fceb2ceeadd2', '3dde36edb00f0b21', '84651926d3290a03', 'e32f6279def089d1', '8de05698c3a24c5f', '03236c69ed00c0ef', '23151ba2dd9a8604', 'bfd986961df4d711', 'e76cc38cd4a649a3', '8c2ac0b557c918f6']; context = [[0, 88], [62, 134], [0, 70], [2, 62], [18, 89], [9, 65], [47, 117], [1, 73], [61, 126], [9, 60], [73, 154], [20, 70], [2, 90], [1, 53], [36, 121], [4, 67]]; loss = 0.012446 low_pass_filter = 0.300
+Epoch 0: | | 27849/? [4:52:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 27850; scene = ['7041d1f51181ad14', '41b70a73e90094bb', '4c053c30f50d0043', '18a621d8ed17e827', '269ba83961dd94e7', '142b833ee1def470', '78e9da4acd92b631', '87e49ce2fe2dee7f', 'bbf64bb9d1b3221b', 'e45fc301475ef51b', 'e8b6cfb9b24f3d19', '710e0b16fe2d5162', 'f7926eb1096de201', 'd10eef0641b38981', 'f6db5e624a9711cd', 'e41ab9017ab47823']; context = [[10, 65], [15, 71], [12, 71], [12, 68], [17, 101], [48, 101], [0, 63], [8, 70], [1, 87], [7, 63], [112, 168], [11, 59], [39, 125], [24, 100], [3, 68], [31, 92]]; loss = 0.015546 low_pass_filter = 0.300
+Epoch 0: | | 27859/? [4:52:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 27860; scene = ['f5802b3f6edb1e75', '0ff53893f963e0e8', '4e89b15dcdfe9fbb', '4b15e91bf9750b0b', '43cbf47443dafa9e', '0ffbe51291e5c9e5', '566a7d2125ad9fda', '49724c9c6be2c390', '8d5efb8d98cd58a3', '3af88c2e2d9c4bed', '627941d7ef713bc5', '76961871aab14991', 'e7716c6defeee60b', 'ca84c9d62c6e869e', 'f4f1fbddfe5f7a9a', '7b22ac58746f7338']; context = [[5, 79], [20, 78], [39, 113], [1, 69], [4, 64], [9, 67], [0, 84], [0, 76], [58, 135], [75, 127], [33, 123], [47, 119], [4, 52], [2, 57], [27, 110], [83, 160]]; loss = 0.014342 low_pass_filter = 0.300
+Epoch 0: | | 27869/? [4:52:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 27870; scene = ['ca94213a7a4eeafb', '5ac1aa75a63625ea', '990630bf33370daa', 'ed56515c6c9331bf', 'e6102d6bc6190b76', '4c5a444d7aaddc73', 'e194ab615ff6780a', '34e738307efc6fdc', 'a1f00395d4d7daf8', 'a257959004827f7a', 'a7ac7a0a1910d905', '2be7c8ba75108987', 'd0c90c4cf31d5e1b', '1f2ce1390992e45c', '8d03c5755eac8d9e', 'f44118c08955a9aa']; context = [[80, 160], [14, 84], [20, 66], [5, 58], [12, 85], [44, 113], [2, 60], [120, 207], [12, 88], [60, 144], [90, 144], [4, 87], [85, 172], [4, 59], [103, 180], [13, 68]]; loss = 0.013866 low_pass_filter = 0.300
+Epoch 0: | | 27879/? [4:52:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 27880; scene = ['4eb4ba507316bd57', '04806761182976f3', 'b1f7b855a234a7f4', '9316b3c04ae81baf', '715278508e2bb13c', '84caf9b231f3bcdc', 'c4445e8e4ab072e9', '59dd6502a1addb48', 'd526d6a1ae6b7aff', 'e3e8d578bcdf23e4', '5cff1e4a72fd38dd', '79f1ba29ca9dbf2d', '09238d4624f16c55', '9411f16aee4d909f', 'fdf733d3297e24f3', '7b13965de06843ef']; context = [[80, 128], [17, 74], [21, 82], [37, 105], [17, 83], [13, 80], [188, 236], [15, 70], [9, 80], [39, 87], [73, 150], [117, 167], [14, 68], [202, 254], [14, 66], [0, 49]]; loss = 0.012653 low_pass_filter = 0.300
+Epoch 0: | | 27889/? [4:52:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 27890; scene = ['fc43d06020b87a99', '6bd7e89398e991e4', '54c59e36add15d88', '3df0e0ed08d53117', '831f41db95db18ef', 'b36f68b8b9941cd0', 'a71156045eddc930', '39a3a18041d1e424', '3e6cde20527cd40c', '788ea04e944747f0', 'a3cf2c1a182a2d0e', '15514fa8651b5365', '87e0cb1574aa4288', '8c6f7e59d3af0de8', '29e0312194a1f641', '488f39c1a5278615']; context = [[36, 121], [8, 94], [3, 66], [39, 128], [6, 61], [61, 113], [3, 92], [45, 96], [24, 98], [5, 76], [39, 97], [29, 111], [12, 59], [62, 138], [6, 73], [22, 79]]; loss = 0.016122 low_pass_filter = 0.300
+Epoch 0: | | 27899/? [4:52:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 27900; scene = ['95aea39a1302166f', '2160ad9e7ad6c76f', '093cd19c2092f76f', '50f5f0c69d553bb4', '2051fd8a3c639b9e', '493ff377d55d79fd', '209340b412818760', 'b2dd9639336d0fd6', '68c242b83de652e9', '0d036f88d76b0d2d', 'd26fdc78269b53b1', '045934369f1fc08d', '524457903526954d', '2aa9e62630f3acee', '214ac7bfbdad5f87', 'aca4b172e55ffe03']; context = [[4, 72], [19, 65], [128, 193], [33, 95], [22, 111], [0, 45], [1, 66], [29, 112], [17, 77], [24, 110], [36, 97], [117, 168], [20, 84], [30, 115], [148, 235], [3, 54]]; loss = 0.016420 low_pass_filter = 0.300
+Epoch 0: | | 27909/? [4:52:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 27910; scene = ['3e50cacd15b4d885', '6a188be5b1a27ed2', 'cbd85f5287e4490f', '1c398feb4a695f6d', '1a4a80d012518ae2', '8da64ec7f57f52bf', 'ada6f9d9f3fe99cc', '726ae8de71330b0f', '5fd567371304f331', '287e8342d014a9ac', '6271d4f0e8952bca', 'b42cfd929c43c488', '75d497fb2e7678aa', 'da274c0e6e23f8ea', '9c084660b5cdc745', 'e87bf717d10bca24']; context = [[4, 87], [15, 75], [106, 184], [26, 82], [124, 170], [15, 95], [43, 92], [33, 84], [2, 52], [56, 103], [46, 106], [16, 62], [0, 80], [3, 49], [13, 70], [3, 48]]; loss = 0.011360 low_pass_filter = 0.300
+Epoch 0: | | 27919/? [4:53:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 27920; scene = ['f4f078781be5bf1c', 'b9b83ef31222c2ee', '46bd6ac81c2ca6bf', '17d579cd9c3c11c6', 'eb2b2c9b2fbb446c', 'df54544af0cb2814', 'e67f3603886457b3', '7c176d9aef38ada9', 'a5f88d386483e9c2', '208e267f234ea686', '67783af57c87a875', '758ae82607fab1cf', 'a2b2171d8e2e5a06', '4c4372829996aaea', '128a981b0696a0cd', '2a8ad97be538b3e6']; context = [[83, 156], [50, 137], [40, 96], [13, 64], [55, 105], [122, 193], [85, 175], [29, 112], [172, 239], [79, 132], [0, 65], [53, 115], [50, 121], [2, 73], [14, 77], [97, 184]]; loss = 0.013595 low_pass_filter = 0.300
+Epoch 0: | | 27929/? [4:53:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 27930; scene = ['e22cb2bd60105620', 'a6bb47e81005f9c9', '68e52b18939a35c2', 'dea6de504101d5f9', 'fbfeacca8f4ee706', 'aceb9b9af0f6ee12', '3e6ae1407108e66f', 'd17b55c9f2f56a6e', 'f7670e3ea31bf549', '546d98615c9e9739', '9e739ec1a8c7aece', 'cb9ae86a49f95f34', 'a328bb24ae1259b7', '6f349cede66a597e', 'e7129afa3f20fb38', 'ffb0ecd62200e136']; context = [[14, 101], [49, 132], [11, 63], [30, 120], [14, 76], [1, 47], [100, 169], [5, 70], [15, 78], [1, 53], [1, 61], [0, 55], [3, 52], [0, 75], [3, 70], [45, 112]]; loss = 0.015141 low_pass_filter = 0.300
+Epoch 0: | | 27939/? [4:53:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 27940; scene = ['65e56c12ba556479', 'b583f64a01c212f2', '39de2c74747ce67a', '347d7c1f3516f732', 'f9d09b2e4cbfdfc0', 'd6fefe45e58fa3d9', 'b3f2183a0220f98e', '2dd4348bf334f7f7', '56de1091c01be96c', '5aeaeafd68cb9158', '209aaf944169c4b6', 'a806813b8428527f', '37cc00c2e4737bad', 'f9e12227561addc6', '2d03c73c305f51d3', '386ab02cdb228dd8']; context = [[39, 109], [2, 86], [15, 69], [48, 131], [61, 120], [117, 193], [2, 57], [32, 98], [1, 47], [114, 159], [17, 85], [36, 83], [8, 53], [9, 98], [102, 165], [53, 138]]; loss = 0.013987 low_pass_filter = 0.300
+Epoch 0: | | 27949/? [4:53:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 27950; scene = ['8de62782d5c7d3b0', '11d8b504157537ac', '95c7513344e24533', '328cdff8dc5c3ed3', '7e07bbc5ff0c2e51', '6ca8e5429f2bece1', 'e8b8ea4dde36dbd8', 'd2bf38090b14ee4d', '5b58dabaff6def8a', '3699c534d47f61d0', '3d5c76bfa52afa64', 'dc7ff267b7c225e3', '4c37b39bd97d919f', '7dcc55ff7d4a98be', '134d050f6364a563', 'a5883d60c2773af1']; context = [[55, 141], [7, 69], [5, 62], [151, 230], [19, 69], [77, 132], [76, 137], [3, 88], [118, 196], [50, 124], [2, 75], [1, 54], [4, 78], [31, 109], [0, 48], [88, 149]]; loss = 0.011869 low_pass_filter = 0.300
+Epoch 0: | | 27959/? [4:53:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 27960; scene = ['e11dd59f0958473f', 'f893871b27cd3338', 'f478d886410b020d', 'b1d713a2958063db', '067ade459f19a3c7', '1e07b908a2be9402', 'cb2bf72fb1b90d8c', '9754cd798e248dad', '6821d555fb2fa55f', '1b749d9b60927a96', '1b291c84c14124c4', '8c8fd141c75ec5dc', 'ea3607afb2302a82', 'ab5746b36d0c079c', 'febb54850e20be98', 'b9496e79c092db77']; context = [[5, 72], [100, 170], [5, 68], [9, 67], [20, 84], [52, 115], [41, 130], [65, 145], [0, 62], [9, 67], [115, 183], [36, 89], [24, 82], [5, 64], [43, 110], [4, 94]]; loss = 0.014629 low_pass_filter = 0.300
+Epoch 0: | | 27969/? [4:53:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 27970; scene = ['868f5fe546fcce41', 'c113a8451c5c9289', 'fc5abb4304069bf7', '30dac4cd7d2b7995', 'fae9b997dc3b0a5e', '2c9e9b06db85a7a9', '8e6dc70f04f05c6f', '445e1eadbba4a937', '19b1e3c961ff7b71', '7713d909cf7bda4c', 'd063e47225f787c3', 'd6590efad5308453', 'e4ba635ef37eef5a', '21c70595a4f20e8c', 'd94e621b7a95c008', '0a543133235ded4a']; context = [[43, 124], [4, 62], [17, 67], [21, 75], [0, 75], [171, 218], [1, 68], [74, 155], [6, 74], [12, 79], [129, 179], [8, 69], [38, 105], [1, 55], [29, 92], [8, 80]]; loss = 0.016570 low_pass_filter = 0.300
+Epoch 0: | | 27979/? [4:53:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 27980; scene = ['c8af89fa161452c0', '39953b7377e8fbc6', 'cf83070a1af0286e', 'c2c69f132eaf226b', '6948d440d6aae7d0', '44081a1a9b1b183d', 'c7bea6aa7296c50b', '5ecd4f2761d9877c', '775726506dbf05b3', 'ca1aa5c83f9fd74b', '91ce38958fa8ee3e', '254d6c6b8f9508d0', '6be67867ef006e73', '024db652dd001772', 'f2685cf241827826', 'b13f185b7aa9c6b1']; context = [[68, 134], [15, 100], [3, 87], [58, 128], [182, 232], [15, 66], [15, 97], [170, 237], [2, 71], [23, 75], [24, 75], [1, 62], [41, 118], [9, 64], [0, 71], [138, 196]]; loss = 0.017187 low_pass_filter = 0.300
+Epoch 0: | | 27989/? [4:53:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 27990; scene = ['11ecabbfc744b93f', '97c6c6048cab5ca2', '02a8b1ebd85a135b', '9314910c4a43508b', '52756412e9f4fd0a', 'e914556d29e28202', '854643bc2ff4062d', 'beb7827e8dfa81d5', '8934e5efeca5b032', 'e6283e9cbee211ed', 'ff086dd3c21198aa', '496840a0fe3510d3', '5ad5628ff51610ee', 'd6b8729657386828', '11db2e14d64c1b42', '7eae59259910a160']; context = [[115, 161], [17, 68], [8, 66], [147, 208], [35, 120], [15, 61], [3, 71], [108, 185], [1, 91], [9, 57], [11, 85], [33, 86], [70, 132], [9, 95], [127, 212], [130, 180]]; loss = 0.012133 low_pass_filter = 0.300
+Epoch 0: | | 27999/? [4:53:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 28000; scene = ['697df23e9f5fb6f5', '6432570e1a1c49f6', '0400474c688a355b', '062f247f28a18c88', '7fde9a464e6b2a7b', 'e045088757e72c54', '55f0fab213db4673', '0d8f65989586d136', 'aaece70a39dd3257', '0f04f8ee8b2396c7', '5b9d1cf99dc03ea9', '17fbb941d129b91f', '3afed25f2ffc4864', '39f7c76ef42ac1d4', 'da794e5b3ff8bd6d', '104d225e8ec52733']; context = [[40, 88], [12, 77], [0, 45], [0, 45], [55, 118], [85, 172], [1, 82], [40, 98], [117, 169], [66, 131], [23, 73], [108, 166], [14, 65], [69, 151], [21, 77], [75, 126]]; loss = 0.017523 low_pass_filter = 0.300
+Epoch 0: | | 28000/? [4:53:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0validation step 28000; scene = ['2d3e1349898addb6']; context = [[61, 109]]
+Epoch 0: | | 28009/? [4:53:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28010; scene = ['2bfc72fe23f7d128', '31c7ad771325622a', '526e15b861dbde42', '127791699e574123', '1e909e45b5870bf8', 'ef05aaf749b3d6bb', '6ecdc9f243da2daf', '5b0cc99d38736efe', '54bffb953d877965', '3475c3521e7ed6e0', '11885ded95a45f98', 'fca4e445c41c1ae5', 'fc665068424c2e80', '66709e5a49fdca17', '729e1efcddd5058a', 'd8aafdce6e92b47b']; context = [[24, 70], [177, 226], [2, 48], [7, 54], [209, 263], [5, 70], [55, 125], [8, 67], [0, 71], [70, 131], [219, 278], [11, 95], [10, 97], [108, 171], [13, 99], [127, 183]]; loss = 0.014326 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 28019/? [4:54:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 28020; scene = ['2a06f123c668d541', 'c17c8f9dca224201', '4dab27a15daad726', '8f6adee2b5cc1d05', '7bd8732d1c74a211', '3ac8f1175e70c73b', 'b3b7e186efcf48f3', 'fa0b600ac32f3ed3', '4efbddebb2822355', '36c6ba1b40a771c7', 'bc8eb67c9d7fb4f1', 'f07a8be5e54b332a', '36853991baf0f696', '55d8b80f7cc186ab', '26f5dd24331bae0d', 'b9e587880452c81a']; context = [[145, 196], [13, 72], [17, 70], [22, 94], [27, 78], [75, 160], [18, 104], [108, 164], [3, 73], [1, 66], [13, 64], [2, 92], [60, 127], [24, 75], [13, 77], [15, 81]]; loss = 0.013543 low_pass_filter = 0.300
+Epoch 0: | | 28029/? [4:54:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 28030; scene = ['861a7204b2c772e1', '19628f94fd6a344d', 'afec1a07847d9889', 'c0a6dac092abee5d', '3868cb5f50baac6e', '7edfb93cc9ec56ae', 'e3a5f86863dd4815', '533c2f41ab209d24', '239910e4c56480f3', '8ed658c5f67ed9bc', '4b808397ff3cf77a', '436ccd6836a9c74e', 'f4443bff45c3a48c', '61181f74c27e63f9', 'c4b3a6fd92c4b759', 'e02ed2926edaed28']; context = [[77, 161], [142, 227], [132, 188], [27, 75], [4, 73], [10, 68], [44, 97], [0, 67], [10, 62], [0, 45], [60, 125], [32, 97], [16, 95], [28, 107], [4, 51], [24, 101]]; loss = 0.014857 low_pass_filter = 0.300
+Epoch 0: | | 28039/? [4:54:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 28040; scene = ['a226e45fab5b520f', 'e8e484398b4fd8f8', '0596a93c402c621f', 'd283e86fe7d9d234', '1a3662f729f45a4f', '6b9376bd3b3cd945', 'bd253c3013d0bf0f', 'e30ea6693d59ce49', '9d435302e482d23e', 'cd3963e60da788c5', '30b1708b08c72076', '9e1e0c91770bd262', '9dfd3bbd48348c20', '2cca51c1f99a1611', '999e445bd69b8a33', '106a576f0475f716']; context = [[3, 56], [106, 167], [3, 56], [18, 71], [2, 50], [205, 269], [2, 56], [120, 191], [2, 85], [42, 126], [2, 92], [23, 72], [1, 81], [116, 174], [33, 84], [119, 168]]; loss = 0.012716 low_pass_filter = 0.300
+Epoch 0: | | 28049/? [4:54:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 28050; scene = ['7256123c7bdb3eec', 'fce6fac0521553e6', 'd4d7f2bcf36167db', 'ed1a39301382b5fc', '4a522e3328a9050a', 'fdb2dcdaf08bcf23', '20e541000529f09d', 'b86e04af018970b9', '47ab97a9ba811934', '8b17869b1b2d948f', 'b1d86a9f37d6f632', 'ab895ad7d4ab2024', '657d182078d67346', 'db5d3693aad765cd', 'f6ebe060ddd2c379', 'c999a1922a53c7fd']; context = [[0, 69], [21, 105], [46, 92], [199, 277], [50, 95], [1, 67], [17, 76], [0, 72], [27, 78], [67, 121], [21, 80], [67, 148], [36, 117], [1, 77], [10, 66], [0, 50]]; loss = 0.014241 low_pass_filter = 0.300
+Epoch 0: | | 28059/? [4:54:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28060; scene = ['053b8c046d8990e3', 'fba4e3544c47c1a7', 'e91ea9998edd1a3e', '65cb094aa58e64f7', 'b68cdb4cdd702112', 'ba88bafc439f3256', 'fd1ec3e7d1725c17', '83c73865f19da6b9', '19d0ab2aa711ec3e', '5c5694be61ffb755', 'c4f04d00df876c55', '74a8f11d5d29aab0', 'c235beae7f32275b', 'b38453d092cb760c', '2fcc80596aca14cc', '0027e46f749ac7ec']; context = [[22, 77], [13, 61], [16, 92], [38, 121], [77, 164], [33, 79], [9, 95], [41, 88], [0, 45], [28, 109], [144, 205], [0, 53], [62, 131], [22, 83], [106, 164], [21, 79]]; loss = 0.015927 low_pass_filter = 0.300
+Epoch 0: | | 28069/? [4:54:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 28070; scene = ['5ac9dbde9cf64eed', '5d50f21bfe94df8c', '6e4b984075d9d0be', '8663eb32379fcd45', '7c94ad911e2fd023', '4b12a530a5ab03d0', 'b7a14012ca652f07', 'd715711625070e85', '43c617b1ffaffd39', '262e52b03eceb5c9', '2a61433c583f4052', '08c09a60291a2f5b', 'f4286518f13f9e65', 'ba7c5eded1b76b25', 'c745ed02d695fe65', '1c3010c2c0cd711a']; context = [[4, 54], [12, 67], [4, 85], [4, 55], [17, 107], [149, 215], [215, 271], [25, 101], [9, 67], [116, 188], [14, 64], [2, 89], [34, 105], [8, 72], [112, 202], [5, 80]]; loss = 0.014716 low_pass_filter = 0.300
+Epoch 0: | | 28079/? [4:54:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 28080; scene = ['02b4de9af6e29e8a', '4c8249818b4a5099', '71da6925c3f94008', '3ac6879302091914', '63a408decbee5e99', 'cf8c3e84083060ba', '0827c649036d47c7', '1d30d8bce2897a08', '7efcb8cf3ccbd340', '60b7c10a3b371296', '28d7e19c6e24d569', 'a589cacd1404a0c5', '30c166d197c85de0', '25f03bd9c39ab064', 'd6ff01965ec8e64a', 'b8a6856223d747d1']; context = [[36, 103], [102, 160], [28, 78], [13, 64], [166, 218], [52, 118], [41, 98], [4, 91], [54, 109], [18, 64], [33, 86], [7, 78], [59, 148], [0, 60], [28, 94], [27, 102]]; loss = 0.014531 low_pass_filter = 0.300
+Epoch 0: | | 28089/? [4:54:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 28090; scene = ['5ca63d8b70397aaf', '96f4400964d34786', 'a39b2bad603033d7', '3c106bba098df11e', '47001d28d87c84ca', '6f8ac21404a427d7', '69f1dff233c3d2e5', '297557b2b88b497c', '17207c6d01e581aa', '06f89770ac98c0bc', 'a4d6bb9fa8b24cd1', 'ea75a24310baa880', '18c331ce99f35768', 'a1955529ad4d0bfc', '7291800f42340df9', 'f5a5531ff428e472']; context = [[33, 116], [0, 63], [48, 98], [0, 50], [17, 73], [32, 78], [8, 75], [27, 88], [2, 81], [20, 68], [78, 168], [7, 57], [22, 69], [31, 80], [24, 83], [6, 64]]; loss = 0.017982 low_pass_filter = 0.300
+Epoch 0: | | 28099/? [4:54:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 28100; scene = ['4b62d75032fde42a', '485d3236b9e66ff4', 'a88fe04e539fdc97', '70b764614e911b14', '547e4e06b1a865a8', '427526ee8dab7776', '4d3aba66a55b61c0', 'fce8992f85bde34e', '71fb27bdb856ee4f', '810f65b521c5649d', '9943ab7880a1ea6e', '946046a2fe268ee8', '3b985e0ac53db7b5', 'f1113eed57046994', '94eb1c751f53099c', '2759d056a8d14e04']; context = [[9, 72], [37, 113], [6, 58], [4, 61], [32, 85], [84, 154], [0, 62], [65, 145], [0, 48], [6, 81], [27, 117], [10, 57], [52, 97], [1, 47], [1, 57], [95, 153]]; loss = 0.016377 low_pass_filter = 0.300
+Epoch 0: | | 28109/? [4:55:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 28110; scene = ['7aa6654b0279e4fa', 'b8b65a8148951827', 'ce1662e12c2361e3', '0da284747a8e4755', '571499e260e393fe', 'ea39ba8c0ab4573c', '9dfb4143918aeff9', 'eda41536796bf57e', '72e02bab04fb8c64', '3a31ed789296ce91', '0923f3552ad572f7', '6d5adb44b0fcc0f5', '35504747966f90b0', '752a9ba05152ec94', 'fac84877f62bf4ac', 'dbc8f6b8f02a5df6']; context = [[14, 98], [69, 144], [106, 181], [160, 244], [15, 84], [72, 125], [1, 87], [203, 254], [7, 70], [125, 213], [2, 49], [56, 126], [8, 76], [71, 152], [0, 45], [50, 132]]; loss = 0.015895 low_pass_filter = 0.300
+Epoch 0: | | 28119/? [4:55:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 28120; scene = ['59718b64a18ffde0', '0110f2806f35fd7c', '8a1c59ef6dc8d6f6', 'baf2755c8de01c68', 'e984c17678df943b', 'c91388cea8493586', 'ad9f3fd22d8921da', '448bddfa334ae964', '87c2112b56d71296', 'ad499d94cd219a58', '7f58c17c1f137a07', '07b97ac9bbd7f7b5', '0da569d99405b772', 'ccd43acf778deb98', '491fb1a7fed76dc0', 'e2eda2dcbe5ec24e']; context = [[0, 56], [4, 56], [1, 47], [1, 55], [29, 99], [7, 54], [151, 227], [14, 72], [10, 88], [69, 114], [28, 79], [49, 95], [94, 166], [87, 139], [0, 46], [15, 67]]; loss = 0.011795 low_pass_filter = 0.300
+Epoch 0: | | 28129/? [4:55:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=27.10, train/active_min_children_step=1.0train step 28130; scene = ['fad5e0b62e2676e2', 'a05682e197d30ff6', 'e21bfc7e213dbea8', '2a738a49db16bea7', '85d78a23254e792d', '0bfdec70b0e4848b', '27227056e078032b', 'deace859a58d2b95', '5ab460913e459419', '3daf1eabf19c93ec', '2d5367d8abf2a189', '534a13c9352bd9af', 'a64972f2ce3ab93c', '77d4dad49d3bf4f1', '6d5ca78f3b7111eb', '6979b7e84173dc55']; context = [[43, 103], [98, 145], [14, 97], [8, 60], [77, 155], [0, 46], [19, 79], [1, 52], [34, 121], [7, 71], [60, 131], [2, 67], [5, 60], [74, 120], [1, 64], [0, 65]]; loss = 0.017223 low_pass_filter = 0.300
+Epoch 0: | | 28139/? [4:55:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 28140; scene = ['7cb7cf6f9813487e', '6fa4c2007a0bf94f', 'c0198b22b5015afd', '3aa51ffb5daa1f14', '1b632edc8e057995', '7856307929acbfc8', '3762a77b150981a7', 'd6ea07dbb2167eb5', '80998e4a83ad49a1', 'fa337fc40abfcd03', '3aebea0441273ddb', 'af266e9907e855a3', '406118df679fdf02', 'f407dfbf20e9cdd8', 'd5272ec25feb6ba1', '4c4cb796127df3c8']; context = [[43, 100], [73, 120], [176, 223], [1, 53], [129, 209], [13, 60], [44, 123], [3, 91], [19, 95], [121, 178], [5, 60], [55, 115], [11, 82], [48, 116], [115, 201], [12, 82]]; loss = 0.014504 low_pass_filter = 0.300
+Epoch 0: | | 28149/? [4:55:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28150; scene = ['0694fc542e3f6de9', '25786ffb7c104704', '93db1dea76cc6be7', 'b4e22324772167c4', '25f2eed8482f4efb', 'f7adb9b80aeb99ee', '76363422d829a5ea', 'df3eae6c62deb55a', 'c11e71447a5d1611', '9c68a8a0af17b921', '0ffd385bf24b6e10', 'eb5e30080980212a', '600f168a8eabe775', '1716266141ef92bb', '4c3217cbb966ce0c', 'a80fd2f2a9bf34a7']; context = [[58, 140], [20, 88], [5, 50], [2, 54], [31, 87], [31, 97], [26, 116], [2, 51], [11, 88], [26, 106], [85, 154], [99, 144], [147, 209], [21, 74], [110, 158], [0, 74]]; loss = 0.012751 low_pass_filter = 0.300
+Epoch 0: | | 28159/? [4:55:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 28160; scene = ['f45d9482ec6bb726', 'acab5c82a3ec9f43', '0513415b27000663', '20f2a4b8e27712d1', 'c3d6ab8fa3f992c4', '5fef1486df3ebcaf', '3748f2ecd1d5dff9', '32bb7af20d91499a', 'a77725cc9a2714fc', '076c844cbd7685e3', 'b7972dcb1535d09c', 'a5a4762cca8682a9', '315815aa98415073', '79f4ef188c1f0a3d', 'd47a86be435af29d', '4a4baddbd49b7258']; context = [[0, 83], [5, 83], [18, 74], [60, 149], [11, 66], [89, 138], [1, 72], [30, 89], [9, 71], [27, 93], [162, 212], [2, 65], [2, 80], [174, 221], [7, 95], [4, 84]]; loss = 0.012333 low_pass_filter = 0.300
+Epoch 0: | | 28169/? [4:55:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 28170; scene = ['4f6c27102e9d00fd', '706f584df62817b9', '33071a63b419262f', 'd03a73369cb6a472', '49ca0e41c7487452', 'bef54ada81871b7a', 'd48f435e37cfc3a4', '9eee26334d6e7ce5', 'f5ecf8999498edeb', '7f7438bbf4ad4571', 'b56e105ab403fa24', '7c40bffc17c61edb', 'e61c4e10dbb5f3ea', '629b76c446e7e1ff', '85b4424274f57276', '7418f9d1559d7180']; context = [[59, 144], [9, 86], [4, 60], [2, 61], [134, 206], [23, 69], [4, 91], [23, 103], [42, 107], [9, 73], [15, 69], [4, 63], [28, 78], [31, 79], [37, 107], [20, 105]]; loss = 0.010840 low_pass_filter = 0.300
+Epoch 0: | | 28179/? [4:55:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 28180; scene = ['7fc974555b4b9640', 'a64e6ad0a94e2f4f', 'c8cf673ce88ca4af', '8a3c3d62d87c8964', '9b7f918f5a15272d', '38b203b44b7b4f57', '14d24ae076dfd157', 'fd121f0c77ac0c01', '7b4006c02dddd695', '90b8a7971706986e', '9eb99257b0499b06', 'a7264b9005fa40fd', 'f89c69501680aec3', '047927ab286923c2', 'd26799d89f2a846c', '745ad1cee81a6a56']; context = [[7, 79], [66, 134], [6, 57], [31, 80], [19, 69], [26, 82], [4, 62], [82, 164], [65, 130], [0, 73], [9, 85], [120, 208], [0, 64], [1, 47], [3, 53], [5, 56]]; loss = 0.014795 low_pass_filter = 0.300
+Epoch 0: | | 28189/? [4:55:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 28190; scene = ['ef868db391c2ff62', '0e7f80803adb73f5', 'de1c9674255ba611', '434e6cbea729523e', 'fd989548b2f0f152', '3366ad5416280502', '0da352ea180f4ee6', '5e04e63ba395b833', '8a4b619c1e948fe6', '865cc4f5f41f267f', '40f9b679391e2660', '91ab91ca89e319a1', '9a96d9b88ba1dc84', '49b4d776ef1172e5', '6ece240cc296cc8c', 'b4c5bf7dc0eb9b3d']; context = [[38, 104], [2, 85], [2, 55], [7, 54], [1, 70], [62, 143], [7, 68], [25, 74], [16, 87], [119, 165], [11, 99], [16, 66], [21, 102], [13, 69], [3, 78], [64, 109]]; loss = 0.015230 low_pass_filter = 0.300
+Epoch 0: | | 28199/? [4:55:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 28200; scene = ['e48b748cc666e14c', 'cb710e31defb94b4', '88c2d05430052c0d', '04add0e57457d961', '404cd10c9173fd1d', '6e88884e3c59bbda', '8230269d5694b850', '46bd6ac81c2ca6bf', '0f4bb16169333817', 'f4f078781be5bf1c', '51504900fa03f469', 'eb3d4493eabc70ac', '58e75e2b5b11725e', '09f447a82910d9e2', 'ea83dfd340855fc5', 'b9b83ef31222c2ee']; context = [[18, 87], [84, 140], [1, 73], [15, 87], [2, 92], [0, 50], [43, 92], [44, 104], [22, 91], [115, 189], [5, 82], [4, 93], [144, 190], [124, 179], [10, 100], [21, 96]]; loss = 0.014621 low_pass_filter = 0.300
+Epoch 0: | | 28209/? [4:56:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28210; scene = ['6aac614c1b641318', '78abe4c6652298aa', 'f8e1c32284e7c88b', '418eb9f06382bfc3', '46280d14ecb9cdaa', '38e96cff15428333', '21ea2c8f2f914e52', '57acd3c88fb731b2', '5a2b85fcc1ba4d04', 'b615dff0d6658715', 'cd50c121eff10ec6', '96e35374a892ac6e', 'd41560daed994b6c', '651269af19b64849', '7c8e1c58421a9f57', 'b25de35dc81a1279']; context = [[16, 79], [32, 104], [66, 128], [64, 149], [3, 90], [0, 49], [19, 81], [2, 72], [45, 99], [10, 76], [8, 95], [9, 90], [2, 73], [60, 136], [22, 89], [11, 57]]; loss = 0.014744 low_pass_filter = 0.300
+Epoch 0: | | 28219/? [4:56:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 28220; scene = ['d6fc181ec9c1537f', 'cad8d99d5938a98a', 'fa56250d112da444', 'a3af6cb061c06d46', 'e54b5eec8cc47776', 'd8e5c190e8400259', 'c3e773c9ea1f4727', '6c48f5bd433bc366', '3897774841845bec', 'dfe9f6faebfa093d', '1b4dc23d94ab138a', '17b66ea136f06ae0', 'c34c5bd5ccbc0ee5', 'fad77f857cd4faac', 'd84de7a276ad1354', '3c51203a37e1310b']; context = [[115, 181], [55, 129], [102, 171], [146, 219], [21, 94], [27, 72], [2, 71], [40, 91], [7, 69], [0, 64], [112, 176], [24, 111], [4, 65], [16, 81], [45, 106], [0, 88]]; loss = 0.017400 low_pass_filter = 0.300
+Epoch 0: | | 28229/? [4:56:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 28230; scene = ['e371f175a43e98c5', '052aa87d96ef68da', '9adcb516e05d241f', '76371ad725a760e5', 'b2614462000b188a', '5f682a64a6caef5f', 'ee32367f85a7cb25', 'f610af52915248b8', 'f1bc73e5eeb22c93', '2b7c4fc5837a4cb5', 'ce66188412c50cd3', '09ec4e6f76a8e0eb', '396f58d2cb5c5ca5', 'ff531e6e82b576f0', '36591589ad16fffd', '97b2caffdf0c4b97']; context = [[6, 70], [67, 123], [14, 85], [53, 104], [26, 115], [13, 100], [38, 127], [0, 74], [1, 46], [85, 152], [104, 189], [60, 108], [35, 105], [13, 61], [6, 74], [4, 84]]; loss = 0.014779 low_pass_filter = 0.300
+Epoch 0: | | 28239/? [4:56:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 28240; scene = ['417a1b0f11a38cb6', '8ac154751b6b5d23', '0d00b18b284e51e2', '5014fb135ed72420', 'c3a524b4d053b421', '9d87291c4517b496', '152bfa6dd2ed2d91', 'df87424ea7d30296', 'c5067fed187ef5c0', '7ed85889128d8edc', '73219d32ea966c5a', '28777252f78660f7', 'f06bf7b9ac0129e6', 'c87c412d9e7b7c29', 'ba5133f35ad8c745', '9aaffc298f07b0b8']; context = [[146, 231], [147, 195], [72, 154], [69, 135], [129, 212], [44, 120], [23, 68], [35, 91], [24, 93], [12, 89], [88, 150], [38, 103], [9, 65], [0, 67], [192, 242], [50, 103]]; loss = 0.012015 low_pass_filter = 0.300
+Epoch 0: | | 28249/? [4:56:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28250; scene = ['42d7615ee93be1ba', 'efe348d0032f3785', 'b4eac7a89e49c960', '805c1f6d7fa643af', 'fdaa687ce9a07786', '5277b13e361c8dc5', 'cf072ab37d9c2f8c', 'd14c13ba1f0f30b5', 'd376e70717220039', 'f652aa98c73bed1d', '597e33a1a42f5c28', '2681fbebf1e46140', '533d3cbe564e7cc7', 'a92466ec8346b8e2', '50c989c75b0f7157', '2cb5509fb3497624']; context = [[46, 105], [59, 119], [24, 87], [3, 73], [38, 99], [3, 54], [153, 218], [3, 72], [27, 81], [5, 59], [24, 79], [114, 194], [27, 101], [76, 149], [1, 51], [1, 51]]; loss = 0.015634 low_pass_filter = 0.300
+Epoch 0: | | 28259/? [4:56:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 28260; scene = ['530aee7e4221e7de', '90581cd87395ed12', 'ee7aeb263d8e1bf5', '9cb2468ed48b5fad', '99459bda32d09b3a', '4efb43e30a0a1524', '77a02b538ebb0699', 'd43365e35b81ceb0', '4394103a63b98852', 'd5f98d1fd6466c76', 'a2e544fa5a104bbd', 'a7282d85361a1014', 'ce7628000f58011b', '731a644f70ddf56e', '7c8e2c32f609e60b', 'c4c8c3f6c1db3f04']; context = [[18, 68], [15, 97], [2, 54], [34, 104], [0, 54], [134, 199], [40, 122], [12, 58], [11, 87], [17, 84], [16, 61], [12, 85], [147, 192], [0, 46], [34, 115], [23, 98]]; loss = 0.012952 low_pass_filter = 0.300
+Epoch 0: | | 28269/? [4:56:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 28270; scene = ['13a86bd4c6a00650', '0d30d0cdb121a470', '46bfe15fcc4b9c6a', 'ae10cb914048bc7f', 'db282d30e9fd10c8', 'df947ff0095f6d26', '86f18d96a57853e0', '10a0c43456612e14', 'b05893c4f688ff82', '0534689c8104ef67', '6030c7a9b7466ad7', '30eff7d76ee7fe7f', '3e977e932f415423', 'ed6417af430716b8', '4858bef8491132a5', 'a437d91c8ae5a20c']; context = [[62, 121], [129, 179], [64, 140], [71, 122], [5, 55], [0, 46], [29, 100], [2, 67], [2, 84], [15, 60], [61, 118], [24, 81], [3, 78], [31, 96], [95, 151], [9, 79]]; loss = 0.013934 low_pass_filter = 0.300
+Epoch 0: | | 28279/? [4:56:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 28280; scene = ['3c0d87cb48662854', '12e1a1a104427117', '6b01ae9d6413cde1', '1d2224e2a16ea7af', '55395ce6b8cbbe3f', 'fef730febe3bfab1', 'f7ab65cf4ced4558', 'ae5c0c88c91ee5cd', '125c50d2d783325c', 'dc987c9d1fdd26dc', '8a6a637d20b5c6d6', '5e156c6e69d2c5f4', 'cf5703d3e8c55fca', '421667feb0be923a', 'eb7c7a3cabdebb09', '54638ffc419fec69']; context = [[29, 78], [0, 57], [57, 125], [15, 104], [107, 192], [6, 62], [2, 53], [104, 177], [21, 111], [0, 81], [50, 119], [0, 45], [29, 105], [4, 49], [33, 115], [8, 54]]; loss = 0.012330 low_pass_filter = 0.300
+Epoch 0: | | 28289/? [4:56:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 28290; scene = ['685b6c222cfb2558', '3974b614298fa529', 'e3b977ebd3a172f7', '7b5442741b4ad783', '967d2d628434790a', '0f8f508903ab9ff8', '5d6e0582e278c74c', '100c1419734fba67', '11a2ff11b09706d3', '13fc20c6d6d05c09', 'cc8d60b67533bda7', '16567c3444d63d6c', 'e4c4750ddc1a58bc', 'aece43a03f5a4a78', '6e022744f8823ba4', '2659ec816ec78ee5']; context = [[6, 55], [34, 117], [119, 199], [4, 57], [79, 134], [26, 89], [148, 225], [7, 67], [0, 64], [46, 108], [18, 71], [35, 93], [36, 119], [6, 57], [95, 183], [224, 277]]; loss = 0.014196 low_pass_filter = 0.300
+Epoch 0: | | 28299/? [4:56:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 28300; scene = ['e9473e41345c04eb', '944064bb05da56f1', '070f5fde5fa6c61c', 'e3e1a3f596f25e4b', 'c5d06839404c3d68', 'e73e0f80ee7325b1', 'f6db03fcdbf3253b', 'ad57c5b97bb58429', '1bd25e4dbf83be6e', '98c1218a2309b4a1', '397e1fcec212c272', '15b72df6330ff79c', '48ce4a20c406c0fd', '029fba664425823a', 'c35e6d31102cafa7', '8c4f32d2e7f0a04f']; context = [[42, 116], [7, 94], [0, 64], [7, 89], [15, 68], [28, 77], [36, 87], [1, 57], [10, 82], [2, 75], [6, 62], [0, 80], [128, 202], [0, 46], [22, 108], [123, 190]]; loss = 0.014233 low_pass_filter = 0.300
+Epoch 0: | | 28309/? [4:57:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 28310; scene = ['2b1287c2ba2e8ed7', 'fd69d25a6b6d7c70', 'a261aeb01d043c57', '916c0d7d2bd7c3ac', 'e43a9a40b0dc1bcc', '09b145bcc2d32627', 'fd06c847ebd02610', '6bda2ed53a6c45a0', '4f0388620a33c099', '6aa62d34da96fc7a', '1b2e793d39caec3f', '9244ece752e135b3', '5a38b8d664c399f4', '06e9f26b5f803220', '072ace91e2fef373', '9af39f3dadb1471e']; context = [[8, 64], [93, 174], [19, 84], [0, 80], [111, 174], [142, 228], [2, 51], [5, 55], [65, 124], [15, 65], [35, 80], [10, 84], [15, 61], [143, 190], [38, 91], [6, 60]]; loss = 0.009399 low_pass_filter = 0.300
+Epoch 0: | | 28319/? [4:57:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 28320; scene = ['3da75a9c139ccab7', '3d121b2f16dc9ec0', 'f7323da0c6861272', '26560c915a92cc78', 'c2233a037e05454d', '16761e9922147547', '34ba9790ea908337', '8c15dfd701269822', 'ad62f36bd0b34d11', '2a9f5b82c71bcf84', '512e733e9b6750b6', 'f2e7f83f1cafcb88', '2083f380503b5df2', '3d3305ac219ed2b0', '88053bdd5c1a3bd2', '7393440fa9d09ce5']; context = [[40, 95], [20, 65], [9, 61], [8, 69], [17, 83], [21, 70], [137, 192], [34, 109], [34, 106], [5, 93], [187, 270], [3, 68], [190, 259], [16, 95], [16, 81], [7, 67]]; loss = 0.014895 low_pass_filter = 0.300
+Epoch 0: | | 28329/? [4:57:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 28330; scene = ['ff2dc1b54c10de9a', '279f7ca2ddf70536', '080f812368d8e1bc', '51fd0c2fb24c2da0', 'dd878c9c51e72651', '94e9fcb53e381f6a', 'a103de57e1e27b8a', 'b19e18613fa9b3a0', 'e152f1023f62baee', '811030cf843d51aa', 'c2cb552464e430ab', '50e795080ac74ba6', '72cc5bfd4015cd03', 'e083b64b420a7c1c', 'bbacf37a3de9fe50', '2ac2be72df08b59f']; context = [[70, 141], [0, 84], [2, 60], [27, 79], [14, 71], [168, 252], [29, 89], [89, 155], [203, 259], [1, 49], [5, 62], [3, 63], [104, 169], [15, 68], [211, 273], [0, 59]]; loss = 0.013764 low_pass_filter = 0.300
+Epoch 0: | | 28339/? [4:57:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 28340; scene = ['df71fbb70b19cbc3', 'b3c375b35694b37a', '29c01e460bbc57b1', '7e8be15607bda439', '14aa189c37e06bf8', 'a177d2fe364ccb70', 'cbc5079a5e106cf9', 'b9a43ec0ac0fe92c', 'ff1c53b47030e748', '8640afafbab041ca', '791aa6312f1d31bc', '0bd967e2f1a3f976', 'd140ca9a916f2329', 'b1a8168a3cb58d78', '99df0e9790c603ff', '5ab913ee14ea2b24']; context = [[9, 73], [70, 124], [1, 52], [7, 97], [24, 70], [112, 199], [85, 139], [88, 135], [6, 80], [11, 56], [22, 95], [62, 147], [26, 80], [44, 127], [0, 62], [163, 237]]; loss = 0.012445 low_pass_filter = 0.300
+Epoch 0: | | 28349/? [4:57:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 28350; scene = ['bf5e568f2fd566c8', 'eb7be33912a30b4d', '19ab113385187a33', '712676205fed832e', '111f2a26b60fd1e9', '80f0b92d65aad85f', 'f8b30c578da2a67f', 'd06e8e0e19cbac49', 'e2def0f395897d80', '4685032f7cf33684', 'de7aa7d53bd63a7b', 'b33a29e1340cb581', '913fb4d757212f2d', '5c6f91cf582708ed', '9531cb66276b6a53', 'c1853d5840938ce4']; context = [[32, 118], [12, 72], [94, 175], [4, 56], [14, 64], [82, 129], [33, 105], [16, 92], [10, 63], [2, 48], [53, 143], [5, 58], [12, 60], [8, 79], [3, 79], [14, 62]]; loss = 0.015565 low_pass_filter = 0.300
+Epoch 0: | | 28359/? [4:57:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 28360; scene = ['4c4199f1af91eca1', '46fce6b33c1b6c95', 'e37efbb1b4d81746', 'd8fc4c664a4adc05', '3e4fcb14d2d9d2eb', 'f09b2a3782ff7908', '7d0e0b6733c4c54f', '8d303400f56c8600', '30bce8b8eff608f4', 'a5748f129769fe0f', '081b7272025559cb', 'b9d775a543d2f100', 'f86e2ffe522ef03e', '48bc056aaa0081bc', 'dc7a97c282e2e199', '28aee5144ab8a326']; context = [[74, 146], [30, 75], [0, 47], [159, 241], [0, 79], [38, 96], [14, 66], [88, 149], [6, 83], [54, 115], [177, 251], [0, 61], [16, 72], [3, 49], [80, 142], [85, 131]]; loss = 0.014420 low_pass_filter = 0.300
+Epoch 0: | | 28369/? [4:57:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 28370; scene = ['546252fa9fce9180', '193e4b6a051b246b', '194d3524ff721743', '219d6fa361e2200a', 'ed7ec2dbda26c8e6', '8acade3dfc4c5c2f', '03203af97d6cf03e', '64fe48431956f5a4', 'ed34fcdecf03a402', '563a22d6074fdf24', '74eb411688ba5e15', 'ac64989dd2b2a22a', 'b071ad8689db9c26', '3977e67f033992e8', '777dec8c405e3f57', 'af50bf60c9639647']; context = [[86, 149], [7, 85], [19, 98], [2, 62], [4, 93], [7, 65], [27, 97], [73, 120], [0, 85], [4, 70], [8, 78], [28, 118], [103, 174], [4, 69], [2, 65], [43, 95]]; loss = 0.014185 low_pass_filter = 0.300
+Epoch 0: | | 28379/? [4:57:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 28380; scene = ['7e39fdb0eefece03', '67642ba9afa1b1cf', '40aa327f7c331a8e', '5994a80afa6ef0fe', '2369b06fbf07fe26', '5cf8295fdd4dc705', '94dd8d7a35b6c349', 'bc51d02a05fce838', '3bdf8df6c39efd67', '8a6f058ea1b60e96', '687b773cc20cf2ee', '9c41777f108288ed', '8a3447f3329d3d25', '4fdcc9d5d5f7f1a9', 'a54874ac774b502b', 'bf00a8f83ba6fb09']; context = [[4, 71], [16, 75], [28, 88], [5, 69], [38, 87], [14, 68], [87, 138], [52, 140], [12, 100], [2, 62], [5, 55], [1, 78], [63, 129], [5, 78], [1, 67], [27, 82]]; loss = 0.016577 low_pass_filter = 0.300
+Epoch 0: | | 28389/? [4:57:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 28390; scene = ['970270fa27de8018', '04a7a63a820101b4', '47d0a3e0e5a96b1f', 'cc196894bc6ae6ec', '65ca7e94d3b96084', '0c2aa8503f334e08', '46bb43d7e66f9559', '5f61074b8462150c', '662c746215388880', 'd96f4644b2bc561a', 'a48c2ca51c2f6577', '1987e5287cf07ea9', 'f299ba5cdef8e35f', 'e91ad187bebc2b26', '6e4f4a49ea0e6a3a', '5e78af90c3e5d57a']; context = [[4, 83], [13, 77], [38, 110], [38, 106], [60, 146], [118, 172], [190, 262], [121, 176], [46, 93], [14, 76], [8, 79], [12, 57], [0, 50], [53, 122], [0, 52], [11, 60]]; loss = 0.013335 low_pass_filter = 0.300
+Epoch 0: | | 28399/? [4:58:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 28400; scene = ['05aab341d9f7cd51', '3afecd065021c4c0', 'faf629d360a6ca34', '8f478c5923eb1553', '8b1f0dd0d1c5b118', 'c6a52e7103129e02', 'a0dafac2946dbe6e', 'fd99ff534b6aa674', 'c446f53261d897f1', 'be494202e4c9b993', '372aaded63119658', '932ea026016413e6', '1b9a3a865fd6729f', '0ba7834f81857ea0', '608adb2a65c7e52b', '41616caa49584d42']; context = [[4, 59], [0, 69], [86, 139], [78, 153], [54, 115], [5, 89], [1, 53], [10, 99], [23, 80], [9, 72], [8, 54], [11, 86], [125, 214], [0, 79], [140, 219], [11, 71]]; loss = 0.014142 low_pass_filter = 0.300
+Epoch 0: | | 28409/? [4:58:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 28410; scene = ['62a704ef28638fff', 'c6f64b23dc5ac02b', '16d4afd1503fa406', '5c59da280310df57', 'efd3ca549d038fad', '6e3e18776eedde59', '346727f21be2942c', '85ee5be6330e3fad', 'bc0b4df5aef0a622', 'c484654b88b52c11', '6a274b8bb4d422a3', '6cdbcf635b46fa7a', 'e07e08f341770ca3', '4f169d470b87ffd7', '9d52321034c270c0', 'b43fed931703ab76']; context = [[32, 119], [24, 70], [16, 72], [59, 118], [82, 149], [172, 236], [28, 111], [182, 254], [167, 221], [8, 76], [45, 101], [22, 88], [50, 95], [15, 68], [3, 79], [21, 84]]; loss = 0.014127 low_pass_filter = 0.300
+Epoch 0: | | 28419/? [4:58:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28420; scene = ['80d4d02464edb6e3', 'c6da0d81f35e345d', '7e858407f6705790', '8836f80f85832118', '84339271308b5cb6', '2ec9b3196d12c94d', 'd253a755fbd1d015', 'c8a1f2c1e73ff3d9', '7192174862bcca70', 'b6cf407f46e0862c', '55d3f2e5fd10a01b', 'ceafc50a7ba41a5b', '0790f14b976d94c7', '94739072644d8de3', '197ed0be15628124', '32eeb4a439a26fee']; context = [[108, 172], [64, 114], [70, 124], [0, 88], [132, 199], [202, 252], [15, 69], [5, 87], [38, 109], [152, 213], [162, 238], [150, 220], [53, 108], [128, 203], [44, 89], [3, 50]]; loss = 0.016635 low_pass_filter = 0.300
+Epoch 0: | | 28429/? [4:58:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 28430; scene = ['a1a797c1ebbb9795', 'f2f2c987d08c2d72', '45ce6645effd86a4', '67109d04207dc5e0', '882a4bb1c3ff5449', 'ec400deea098acf1', '53eeb9b2a3c85438', 'bdebb67214315ba5', '13283683b367e1b5', '2eca7531dfe64718', '71298309a15011c5', '5bf6af1c8f1411cc', '3130a93a55e57311', 'cab39c57f4fb83d1', '92fc9155096037b5', '3ce9e01d528feece']; context = [[31, 109], [214, 269], [3, 68], [46, 105], [0, 88], [44, 124], [18, 85], [146, 199], [2, 91], [1, 86], [62, 138], [135, 184], [42, 117], [15, 89], [95, 147], [6, 69]]; loss = 0.017333 low_pass_filter = 0.300
+Epoch 0: | | 28439/? [4:58:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 28440; scene = ['243bbbdaa0b4e35e', '67c453c953ea741e', '3a9cf9b68f41334a', '136699691d5ac532', 'e46b29fc12390c9b', 'd1dd88cc2ddcf5b9', 'a122a08c01ee327e', '5ee2d8b0a1718221', '9aab81a10733d402', '30073241129f1b45', '6584c6557fa7f8f5', 'fcb5cfafb60da017', '82b5bc359a8354c0', '214a03d653fa74ef', 'a68f18856bc55ecc', '298c3bccb02eb533']; context = [[55, 108], [11, 64], [38, 90], [0, 76], [172, 226], [29, 89], [4, 84], [4, 54], [8, 92], [143, 208], [125, 195], [45, 131], [15, 88], [56, 127], [1, 56], [18, 102]]; loss = 0.018234 low_pass_filter = 0.300
+Epoch 0: | | 28449/? [4:58:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 28450; scene = ['67e60e8d574503ed', '7abaee1726512c49', 'bddcbc19a6e72db4', '99aa8fe19b8215bf', 'f6ea84bf429593ae', 'cd746201c3c6cb74', '5d9475bc439c2e2f', '71a23bbc6bbbe3b9', '402d1153b582b8a8', '9790cca738845fd8', 'dff8abe7fb65a56e', '29abc638286c5fea', 'e6c85be23fed04b5', '63da47e50e923268', 'eecabe2d591d9fc2', '08f81561d2f0195e']; context = [[22, 84], [52, 101], [77, 160], [0, 55], [55, 118], [18, 99], [70, 134], [7, 91], [6, 78], [6, 66], [135, 188], [2, 47], [0, 80], [0, 90], [42, 131], [88, 145]]; loss = 0.017040 low_pass_filter = 0.300
+Epoch 0: | | 28459/? [4:58:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 28460; scene = ['8ca97af66552f055', '47a8853f48974faf', '398fc172733ae106', 'c12b4b8fce580e89', '06fbc8d45e60e49b', '004a40da569ee807', '8c9eb97a7653d4f0', 'e7066bc6213cf70a', '5dd56196ee851032', '4aa5669dc0c886cd', 'a4029616936adab1', '7a23fa2da5188bc2', '4fd056d18c23b0a1', '8913a77c9f388657', 'a2ca64e40c8e4504', 'bdccb33a12175af6']; context = [[52, 125], [192, 265], [8, 61], [181, 246], [11, 66], [43, 112], [18, 89], [23, 82], [75, 137], [1, 58], [22, 105], [74, 132], [4, 78], [24, 80], [196, 271], [64, 121]]; loss = 0.011631 low_pass_filter = 0.300
+Epoch 0: | | 28469/? [4:58:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 28470; scene = ['16b21617bc0ec95a', 'aa2da4756cbc5fac', '466101425e69ba66', 'a83fb8c2a25ac2b4', '48a3d3197bea50e9', '046fb9f668ac6b20', '21638997ab0430ad', '900bc6e39af26c05', '4763370f2ce77179', '08d205f4f1290034', '58187af293ad8b35', '03b718ad527c4d1e', 'd60d506eb1bebd6a', '6bc1f4da43d84f90', '923bb7b5e536e479', '9c9a09dc05ae0717']; context = [[1, 78], [6, 51], [19, 85], [92, 170], [25, 86], [51, 96], [152, 235], [1, 90], [1, 61], [153, 206], [24, 84], [49, 133], [1, 46], [42, 100], [5, 83], [135, 201]]; loss = 0.018252 low_pass_filter = 0.300
+Epoch 0: | | 28479/? [4:58:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 28480; scene = ['a7e3532e7518fccd', '0674ab98c84e8fae', '85499600113d2bfc', 'eed2a0ac0fb2cf63', '427d49e96e58dc26', '2fac7bed1a7561b1', 'fd63b19fb7bace40', 'e9d74753ca5f50a5', '10fda5483645a9da', '550c91c247fed3a5', '2cfc46890614d1ef', '149706425ea3666a', '14056595020e5128', '1bc2686e6cb1fb1a', 'cfbb220575fb9b02', '9331e00704e39648']; context = [[0, 76], [39, 106], [12, 80], [42, 115], [28, 80], [103, 179], [10, 83], [56, 129], [25, 87], [0, 47], [161, 211], [0, 57], [0, 85], [2, 48], [58, 109], [34, 89]]; loss = 0.013288 low_pass_filter = 0.300
+Epoch 0: | | 28489/? [4:58:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 28490; scene = ['a6f16d68f9e126c9', '94ddacdba86c4757', '18bc67e83f83fd74', 'c27f30b71f9279fc', 'e2057c3395c0235f', '064f86a52bb038ef', 'df2160a1c74477b6', 'c138045400b089a8', 'b58ebbe9b137ac08', '16d3bee1ca19a1f3', '3b93d15c3121c2b7', '1d610e7d3d756ca4', '76102a284ac733bd', 'c12fac3629f20e64', '2e36d73dd9237db0', 'c13ce72bbc5a3abd']; context = [[16, 65], [103, 160], [8, 64], [0, 65], [27, 80], [25, 91], [78, 134], [12, 58], [189, 234], [4, 71], [50, 132], [17, 64], [25, 104], [90, 162], [68, 156], [2, 50]]; loss = 0.013695 low_pass_filter = 0.300
+Epoch 0: | | 28499/? [4:59:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 28500; scene = ['f6318ce59651d073', 'f13d40fcea581125', '7f518de476153a28', '95b457a2bf43426c', 'cdb6719712d3b074', '728b3e98e007eeec', '496e6fc19c13a4bd', 'f91702f19351f9da', '46b12e4cbe5f30ed', '882e5b83bbc2027b', '88251d3dbf8b43aa', '5d609018a4b47ad6', '385f9bcdb97bb766', '11b21930ecad92d1', '35853ff8c6e1cd4d', '0da44313ec309d22']; context = [[20, 72], [135, 214], [3, 48], [105, 178], [0, 46], [32, 112], [10, 56], [114, 193], [212, 275], [7, 74], [1, 58], [18, 92], [10, 81], [0, 45], [1, 47], [21, 89]]; loss = 0.014831 low_pass_filter = 0.300
+Epoch 0: | | 28509/? [4:59:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 28510; scene = ['b0a4c3987e235f65', '2186945769367f83', '334bc3bd131484d5', 'c91388cea8493586', 'ad9f3fd22d8921da', '87c2112b56d71296', 'bd2a9f4203d4923e', '0110f2806f35fd7c', 'e5cae04451ba0432', 'ad499d94cd219a58', 'baf2755c8de01c68', '59718b64a18ffde0', '448bddfa334ae964', '7f58c17c1f137a07', '2278f6eb6c588141', 'e984c17678df943b']; context = [[90, 143], [3, 59], [7, 54], [14, 71], [130, 189], [39, 84], [24, 86], [5, 92], [32, 109], [62, 123], [17, 75], [4, 69], [42, 91], [70, 115], [0, 90], [39, 104]]; loss = 0.011398 low_pass_filter = 0.300
+Epoch 0: | | 28519/? [4:59:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 28520; scene = ['0fa0f0288005bdaf', 'f99e55f59e21e131', '71f669a7f9590da8', 'dbb2260383173238', 'b14f549ac1e3b89c', 'e2956635b131c774', 'b07f25b709830e18', '0f07c141e5bf8a55', '4a15710bcc33670c', '5fdaeb4bc51e16cc', '290e786418fa5d81', '7d77404c05b9f3c4', '2634bae26ffad625', '74a8e6140c49f568', '357bd543948e7076', 'c4f5ed61a6c51132']; context = [[29, 116], [0, 49], [10, 58], [76, 131], [103, 153], [0, 86], [78, 153], [10, 70], [15, 92], [15, 99], [25, 101], [23, 79], [8, 57], [32, 91], [15, 81], [66, 117]]; loss = 0.012443 low_pass_filter = 0.300
+Epoch 0: | | 28529/? [4:59:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 28530; scene = ['6e5d576038f561ed', '1689a6a8e0af825e', 'a4abb1cde2e10cdf', '1b3dc910197fba0e', '5e9895eb77a9605e', '5fdf8298e3d56d54', 'ed97f5b422b79242', '5cbd109931e3fe1d', 'd5e2d4a639e271d7', 'f12f544ed5df8605', 'c8234e5da5f366ae', '2e2cce8b80bc8018', 'ee5b68d3466873cd', '335bf6cc102962d1', '62c4b13b4d673035', '1badfac3b77b18f6']; context = [[41, 129], [40, 121], [18, 64], [12, 69], [32, 85], [0, 45], [49, 125], [19, 73], [9, 94], [15, 90], [28, 111], [3, 57], [191, 242], [26, 104], [6, 78], [2, 53]]; loss = 0.015286 low_pass_filter = 0.300
+Epoch 0: | | 28539/? [4:59:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 28540; scene = ['590d0d46abee63bb', 'd6dd35d96ec83e83', 'b877fceeed5942d8', '07278d9d2d1e4e6f', '125318c9856ce742', '8049eef0ee607a97', '558684b06f159a0a', 'de1181d6c642e883', 'ae3afdfbc0bc425a', '0cb6c016d1847e2b', '12df9d7691f772f4', '2e55ab3c0ff07376', 'd1cf87c280d497c0', 'b7abfcf85c78a026', 'bbfeedf36bd2d073', '52d5d1869f7823d2']; context = [[8, 72], [2, 49], [0, 88], [68, 150], [42, 109], [98, 167], [41, 96], [76, 155], [0, 47], [1, 46], [12, 59], [4, 81], [16, 78], [14, 88], [93, 167], [0, 51]]; loss = 0.015409 low_pass_filter = 0.300
+Epoch 0: | | 28549/? [4:59:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 28550; scene = ['83de8bf91d2069d5', 'a385440bff1c331e', '8ceccd568474348f', 'b285926ca059a521', '9ab83ba6f3dee716', 'b9c0beab80c28377', '917be2bd3c7a28d7', '6f20647f5a7ed154', '8e704b8171b2dd7c', '8a1d2b081aa7649e', 'db40e459c8979778', '1629b949594b36b5', 'c90a6a1367ac2983', '4832765fde4b5c76', '3a163969413dbe74', 'b12b1204a0c7c197']; context = [[3, 50], [61, 110], [4, 70], [68, 125], [32, 78], [6, 58], [51, 134], [72, 143], [0, 54], [201, 258], [2, 66], [1, 49], [54, 124], [11, 73], [15, 84], [166, 222]]; loss = 0.018302 low_pass_filter = 0.300
+Epoch 0: | | 28559/? [4:59:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 28560; scene = ['81a3f8a8ce79a059', '4c6ca52094c027d7', 'e32356ddcfb80246', 'e9409f501f1b6346', 'c66aaa5ea5543880', 'ba299e06f2eb6d9b', '64fa28b2416a6a38', '40da14eba717a7c9', 'c4005922f59686ae', 'b1b8e8c88721bafc', 'ed8272185c1ac2e0', '618567fd6a77f656', '65ed01304acdce43', 'f1066afe8efd425c', '8c0bdc962f9677d4', 'c396afc17225aed4']; context = [[6, 64], [127, 175], [64, 125], [89, 159], [8, 78], [17, 66], [7, 68], [172, 217], [24, 109], [8, 82], [65, 140], [30, 119], [192, 277], [8, 68], [149, 197], [1, 90]]; loss = 0.016430 low_pass_filter = 0.300
+Epoch 0: | | 28569/? [4:59:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 28570; scene = ['9d4bb3c6783e57a8', '7b2378ebd9c53c89', '23c1ccdbb82ee29c', 'dfd7ac5b3120d4d4', '0b33181143dd3303', '909da0bab82b1291', 'd6fe76a20c2ca045', '967e182d9ce45a8f', '7d2c9226f315e874', '94bafb0f6cccd632', '91228238505a0ab6', '61917f6e80822d15', '9d26a3aabadf0ede', '4f07acb62d38c79c', '3652ad772d706948', '24711e8ed95573fa']; context = [[41, 90], [19, 69], [78, 143], [48, 94], [109, 178], [23, 72], [36, 89], [1, 57], [59, 104], [2, 69], [15, 75], [44, 90], [1, 72], [89, 153], [12, 57], [88, 142]]; loss = 0.012253 low_pass_filter = 0.300
+Epoch 0: | | 28579/? [4:59:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 28580; scene = ['47396d5a5299873e', '4c9b35d3b2045ce0', '16d3ec890df5ae96', '3b0f00f513dde6ca', 'bd65a22a1e0afab9', '4b008f9c4337a48a', '02d0ad66e1043e20', '706d500bd8966fc8', '32fa2f64dfaacf21', 'd814de9932daf6b5', '3bc380de39e58a1a', 'aa2175c8bffe8ad9', 'f3f4f9da9acefa67', 'e1bfe1e13278c747', '4ee78f549f4bddfe', '75cb48e0b83d8bed']; context = [[49, 115], [14, 80], [1, 65], [8, 82], [39, 89], [118, 204], [75, 137], [93, 160], [38, 95], [15, 78], [1, 89], [198, 278], [5, 66], [41, 96], [84, 140], [4, 78]]; loss = 0.015238 low_pass_filter = 0.300
+Epoch 0: | | 28589/? [5:00:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 28590; scene = ['b0413d361b4e8abb', '27159dbf7b134cd9', '171d2b088e5c6bbc', 'fb28f9d27b56544d', 'b994db43ed1c2c70', '3dc32c403d742301', '2eecc3ba2abc668d', '25d17315f4472e27', '9c778e7cd7132076', 'b07c5840c431adc0', 'e5f6a0610e463bb1', 'e52bc368e2ae4de4', 'd0335243588a5868', 'de70f1678e455c2a', 'dceae8d1faf50701', 'f3e96cfa45f320f9']; context = [[31, 97], [98, 181], [129, 218], [3, 48], [191, 248], [56, 146], [138, 188], [5, 66], [32, 94], [30, 101], [138, 197], [15, 65], [27, 113], [45, 97], [73, 162], [37, 82]]; loss = 0.015333 low_pass_filter = 0.300
+Epoch 0: | | 28599/? [5:00:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 28600; scene = ['a65f2600585e4c08', '3cd8c5f222a29e8c', '02d29a4aa8a7ad5b', '3f8869210121fd87', 'a7c3a94982c6451a', 'e26b66b37816f71c', '28e5e3f53bdc1126', '547dff5661bc0b90', 'f10703d432968469', 'c4ca30f9290c64c2', '29e877ae2d3d4c17', '0b1205ec5f9cc85e', '4e405477bc707f0b', '6aa7eac0ee8724c7', '2cb6b50835b4e574', '4c527b2ed319ecf9']; context = [[39, 95], [10, 61], [53, 134], [15, 63], [38, 106], [78, 167], [6, 64], [66, 129], [50, 96], [34, 116], [66, 122], [20, 76], [25, 90], [56, 106], [92, 149], [159, 222]]; loss = 0.012484 low_pass_filter = 0.300
+Epoch 0: | | 28609/? [5:00:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 28610; scene = ['fd49de1335b98352', '6b65ff9c9cbf081c', '4618698bb2ab83d8', '4f40c57cfb094233', '6f5e801f06d3049e', '53c27ddd5ade14e1', '642cab214d35f82c', 'a28c0b4342f96095', '0ae59238a62ddee3', '4c9f2a396de81a41', 'f8bfadf2a2db58b1', '5f73666742e21b1f', '94e215648c3a36ce', 'd5823a68b648b87c', 'cda15499692ccaaa', 'ff0fdcef9ed61fe8']; context = [[119, 188], [13, 88], [9, 79], [0, 83], [0, 53], [4, 82], [13, 58], [87, 144], [118, 168], [48, 129], [25, 93], [15, 98], [70, 159], [38, 99], [45, 108], [7, 68]]; loss = 0.013466 low_pass_filter = 0.300
+Epoch 0: | | 28619/? [5:00:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 28620; scene = ['eef16f49751028f7', 'a770c86f2059dbef', '5c49af63ed05b277', 'ef77f5e4ef9e62b6', 'b076f2a5b52d1370', 'e1c4289c6eda3545', 'b415eb0a7def34c2', 'a5f125662576269b', '474449a5d3172644', '0cf4667328f5b6d1', 'eb971dec77a65942', 'f417a4c162176abf', '2f4670e943868545', '76d99fe5793755ad', 'fbb1981f595c47f3', '2f9893144523fdd9']; context = [[26, 102], [34, 83], [2, 49], [96, 173], [155, 202], [4, 57], [12, 57], [25, 85], [3, 70], [130, 180], [67, 149], [16, 66], [17, 69], [0, 54], [146, 221], [25, 70]]; loss = 0.013373 low_pass_filter = 0.300
+Epoch 0: | | 28629/? [5:00:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 28630; scene = ['6223b736736550fb', '8008f2d012c86037', '19f106c5f56ad5e5', 'a8946be6bc32768a', '7630cb2752ecf0a1', 'd6dba7b939bd71e6', '6712459dd798fb34', '25cc0fc657ec68dc', '7c6e11f01c36ad07', 'e12f8fd924b2ff2d', '5ff238d3fbe7ea4f', '25ec2f2b3a0d6128', '7407ebd92ee880b2', 'b358e3ddb4adb7c9', '2bedce9198d2994d', 'fb1ce36de4450ea0']; context = [[71, 140], [64, 114], [8, 71], [72, 132], [165, 224], [108, 176], [5, 51], [42, 124], [8, 85], [98, 186], [54, 136], [2, 48], [31, 105], [0, 72], [4, 74], [2, 51]]; loss = 0.014025 low_pass_filter = 0.300
+Epoch 0: | | 28639/? [5:00:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 28640; scene = ['1ff50e90731cd85d', '3650acf4e144d660', 'c9a41c071845a38a', '54dd2fecd7c5469f', '501a6f4480ce533e', '7d70798a0178383e', '75d7982a76052a50', '6bbc8e2718708902', '86c8c9b0a6200b4a', '061e2dfaf96677fb', 'e66e9d07a140e364', '4bd3f7b081be9424', 'abfb743f58304c93', '90daa00e8511dc42', 'adaeedc8b4e18bcd', '7518b4660275a25a']; context = [[23, 93], [145, 232], [98, 153], [4, 60], [1, 63], [25, 95], [9, 89], [1, 58], [7, 91], [26, 74], [8, 79], [34, 110], [116, 174], [71, 119], [113, 199], [5, 71]]; loss = 0.018641 low_pass_filter = 0.300
+Epoch 0: | | 28649/? [5:00:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 28650; scene = ['abd3cabe7a8ce1b3', 'd719095ac6054c66', '91374736b0e8c0c4', '37d687c129022732', 'b01124860ef4a2d0', '2e40ec3daa844279', '01df3fff1e49799c', 'cb524479156837a7', '527ed10de8647f13', '521fca1af7388ac3', '8b700c2734f29339', '06478c4b8a84db0e', '5dbffdf5e936ee74', 'da3ff7fbc613e687', 'a1de15d31837b1df', 'cbfae700b0802703']; context = [[22, 70], [61, 141], [16, 85], [65, 124], [94, 145], [164, 230], [128, 182], [131, 197], [6, 91], [2, 50], [15, 98], [17, 66], [6, 55], [94, 154], [0, 45], [8, 94]]; loss = 0.014373 low_pass_filter = 0.300
+Epoch 0: | | 28659/? [5:00:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 28660; scene = ['8385639daed6ad35', '59c3bfed205e6641', '9b31d2cb5cbbcea4', 'a05e5fa0cbf32e4d', '76ae405bf2de98c2', '20cc905fe5d4c818', '33ed141b6476d659', 'eafaece895002605', 'cbec23ec875d7780', '5335d77c5e1679e6', 'd051d5f10665fa3f', 'f4cf8947756befa9', '56090687f32e460a', 'bb72da9d1e6ccae5', 'b853f60b6a4e99b5', '61fb9ac9a4729fa4']; context = [[49, 127], [0, 61], [1, 52], [32, 117], [172, 248], [33, 111], [38, 97], [7, 66], [3, 48], [52, 98], [0, 52], [2, 52], [13, 65], [8, 75], [4, 58], [88, 170]]; loss = 0.016310 low_pass_filter = 0.300
+Epoch 0: | | 28669/? [5:00:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 28670; scene = ['258d0991293a33d8', '8154350ee9bed77c', '721220c7c8bdbecc', 'f83023d1697407da', 'ef43009a9fda5f70', '0532eb974677bbc4', 'cd133ed3edf87e7f', '15ef091ff5e65fa0', '38b7bb60dcdd795e', 'c08cb8bf8e5c5f16', 'c08079d5edf74f3c', '891fe4fa21d022a2', '27a9b26dd1400ea7', '378a4f2a816025cd', '8854b4da58a5000d', 'bac5254e00bef075']; context = [[8, 54], [28, 86], [13, 60], [4, 79], [65, 110], [126, 194], [91, 149], [196, 253], [3, 54], [3, 49], [29, 85], [2, 91], [2, 91], [0, 62], [20, 77], [98, 171]]; loss = 0.017616 low_pass_filter = 0.300
+Epoch 0: | | 28679/? [5:00:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 28680; scene = ['1c6d5d3f3957f715', '0be7e9a8e6cca579', '10d46d09b071b52e', '4af92040d8f76d3c', 'bf4009c06ec52418', 'bd6427f319e8f8e4', '44a9c76c06eaa5dd', '83b86813d827c0d8', 'd336cf34bdd3d24f', '07e7737b84d40e6c', 'ce292dcee1a0d8df', '5403b46eaa12daf7', '76241fdd32002182', '77170c7b30cba891', '6eefbb1aa302c3d9', '583a9194b09ca556']; context = [[51, 100], [2, 66], [203, 253], [133, 216], [44, 99], [28, 89], [145, 215], [58, 121], [56, 131], [123, 172], [176, 264], [39, 89], [121, 177], [3, 90], [97, 155], [42, 109]]; loss = 0.013247 low_pass_filter = 0.300
+Epoch 0: | | 28689/? [5:01:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 28690; scene = ['ccc2808b832f9712', 'b534d0f0aeda56df', 'f4173a1a3c8a91bd', '047d14a0b379dd2b', '6b88615a41b8d241', '8e30184e671229e7', '95369acfcfef50ff', '6cda38bbc58eee0a', 'f3c1df5b25d1c59e', 'a96381eb42710431', '55cb8a9f50130a75', 'abe11b1e3b8d6b61', 'ed220a707d68db77', 'f3ebd453f8541b61', '679a64c4eda65773', 'c3caff907bac80bf']; context = [[2, 61], [216, 270], [1, 51], [13, 100], [51, 124], [11, 63], [120, 169], [27, 91], [1, 58], [120, 198], [8, 62], [38, 86], [10, 81], [178, 255], [1, 54], [46, 127]]; loss = 0.014905 low_pass_filter = 0.300
+Epoch 0: | | 28699/? [5:01:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28700; scene = ['c347d93a2934ddc6', 'ae047d3f44cebf1b', '6374e51e6160a80c', 'ee4e748066074d37', '97eb82619d559a52', '9c7b700f9c5cc6c6', '62939c5723d59295', 'b9f12695db134381', '6679f59d495204c0', '08e8d767c22b2f76', '3f5a3f57adf8a7da', 'a4e0f20145b56429', '629e4849c3d26620', 'a69c46f6bf343d2c', '7f68605e483cb231', '4e51832db28d7a2f']; context = [[1, 80], [4, 61], [17, 93], [140, 221], [28, 77], [199, 258], [15, 70], [4, 50], [50, 119], [12, 74], [43, 111], [10, 68], [3, 88], [146, 225], [9, 65], [0, 47]]; loss = 0.015276 low_pass_filter = 0.300
+Epoch 0: | | 28709/? [5:01:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 28710; scene = ['bccb2d322b8bd512', '0d17e709818fb499', 'e2d62f82e625ed88', 'a752ffdd0cd196ed', 'a7c1244797fc53ad', '9e299e04b20c3f70', 'ba823bca7db295c1', '9ae8ac94ec73f354', 'dcbea8d317442825', '41cf7931d87820c2', 'a39c6e8f3d9a2a00', '068b869b3861f8fc', '1c75685f0307f79d', 'ff8115bfa598e4a3', 'b13f6387c59e38a5', 'c2ed056e761bd2c4']; context = [[9, 66], [32, 88], [8, 87], [56, 114], [4, 68], [3, 91], [47, 97], [0, 66], [0, 60], [24, 86], [5, 71], [0, 50], [10, 55], [206, 251], [0, 76], [99, 147]]; loss = 0.011381 low_pass_filter = 0.300
+Epoch 0: | | 28719/? [5:01:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 28720; scene = ['5d2bd34da19e9471', 'e701cbe6c42dc34f', '44a584948320b074', 'd61b2ffb090ab82e', '63331dbbbfe80f5f', '738543a84b2b0667', '42e4f2d3c3e0772f', 'ac85da0c05c229e4', 'efe348d0032f3785', 'd14c13ba1f0f30b5', '42d7615ee93be1ba', 'cf072ab37d9c2f8c', '5277b13e361c8dc5', 'b4eac7a89e49c960', 'd376e70717220039', '14117bd67664094a']; context = [[39, 126], [2, 68], [6, 71], [59, 135], [97, 144], [12, 94], [75, 132], [25, 76], [35, 109], [4, 72], [73, 150], [177, 238], [66, 127], [49, 106], [20, 65], [40, 113]]; loss = 0.012784 low_pass_filter = 0.300
+Epoch 0: | | 28729/? [5:01:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 28730; scene = ['f66177c393a15e8e', 'd547febbbdb7cc61', '06eb5eea7b1d015f', '46684ee037288669', '8752b2e2d705b251', '8db14edd572fc338', '9f52a12f0171d69d', 'de82b4943b0468d6', '5182719c229290df', 'f06173960adf4846', '224ee2b14458fbe4', '60647c6e7dccf0be', '03ca81eb48477658', '04f6579f0d5f930b', 'eed335d128f663b2', 'a49bfb7c0f9f1909']; context = [[54, 141], [12, 75], [10, 55], [34, 96], [35, 109], [56, 107], [7, 83], [39, 90], [32, 84], [63, 125], [2, 82], [1, 53], [25, 74], [93, 140], [14, 93], [4, 68]]; loss = 0.014663 low_pass_filter = 0.300
+Epoch 0: | | 28739/? [5:01:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 28740; scene = ['f3b614caf5078792', 'b8411d41299a345d', 'c8da67d9fdccb60c', '4f6bf6243912aa92', '1f0cf1a9439210f9', '8e2be4982c66d479', '3594c7b061e41ea5', '07e89fbf76b33051', '1f03321df3099803', '7dbb39fbee25850d', '2d2f975f0e2dac24', 'fe6612a4ad77c1a5', '84831132a72f8f37', 'e3a847b0e33a8c66', '65a8ff4d9f2dbb40', '94c5aa8de54a0fd7']; context = [[1, 68], [30, 118], [22, 93], [154, 205], [0, 77], [137, 186], [1, 46], [2, 58], [20, 84], [97, 158], [13, 68], [78, 162], [68, 140], [44, 104], [12, 79], [189, 241]]; loss = 0.013359 low_pass_filter = 0.300
+Epoch 0: | | 28749/? [5:01:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 28750; scene = ['24d90f30c52e7229', '77994f2a243e4c9f', '6013f0d8dc76e441', 'a899cc62b4d16a99', 'f9e33a1d57250855', '361100f6ae8c1ad5', 'cb4410e6d2705491', '07d2d2d6cbd3f15e', '031413325619677b', '5830ae37f597a53a', 'dc1ae8c3ae7797ff', 'e49884a3a277d320', '75ed6690375be78c', '2892afc2e696cb8e', '87c907d8c8c4d7d6', 'c0cf92a34efcf356']; context = [[0, 81], [8, 62], [120, 179], [92, 147], [0, 77], [13, 77], [3, 56], [2, 59], [172, 218], [69, 117], [1, 59], [23, 87], [55, 142], [27, 86], [18, 89], [19, 76]]; loss = 0.015334 low_pass_filter = 0.300
+Epoch 0: | | 28759/? [5:01:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 28760; scene = ['58278081778e848c', '1822b50faf4d9e67', 'a783f75bbaf79a7e', 'de783427084a7fc8', 'dbe4da0a280fa5c1', 'b0ec78933f7b7320', '946597adeb926d39', '6f23f69c381954e4', '1571604512ea65cc', '58e4213c6d697774', '9ac09885529df79d', '5dc6293c22fc8e52', '1520b2140fdb58a5', '7b88deac3cc4f5c4', '0b3211726fbabaa7', 'e3639c957bbed059']; context = [[67, 120], [2, 64], [37, 84], [62, 112], [48, 94], [8, 70], [11, 60], [13, 65], [13, 66], [1, 60], [27, 84], [0, 46], [148, 209], [8, 68], [45, 121], [3, 52]]; loss = 0.014761 low_pass_filter = 0.300
+Epoch 0: | | 28769/? [5:01:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 28770; scene = ['50df652eed62ded6', 'db7ab4ff7d59a066', 'dfb5ff252e8d744e', '1028b6409fe844a9', '30c4e4e000f6e116', '815e194dbbd8df15', 'd19836a61f80f65a', '8d758914077e5926', '982da008194b287c', '93416bc86e84f4c5', '93e09aeb0a7c54d4', '4a0f95a3db913b56', '107fabf0d1dce254', 'a7957a1e2b7ad909', '6cee4547c99f248b', '80f5da17b4119bbf']; context = [[166, 217], [2, 56], [11, 72], [26, 75], [187, 261], [188, 259], [104, 175], [28, 85], [13, 97], [1, 76], [12, 70], [21, 71], [83, 137], [82, 127], [3, 85], [96, 146]]; loss = 0.017727 low_pass_filter = 0.300
+Epoch 0: | | 28779/? [5:01:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 28780; scene = ['596861bc09c3ab48', '2bc0c1c27ab45ccc', '00b9a7963f9bd9c6', '004bd1e952dc1df8', 'd35e04e60d0199ff', 'c43a51e3fc102e73', '67bbca5ca2b592f3', '7ecbf7f6564ca9c7', '7715cbb97d4c5712', '48650d395590d25d', '8d135d954c7bd8ca', 'e3d6e4d17fe86c7f', '8640bf1b5c76637c', 'af4a597a0c5fae0e', 'c28b9f25ad9794d7', 'db888de456002798']; context = [[49, 130], [15, 60], [105, 176], [1, 59], [25, 79], [0, 64], [6, 72], [27, 95], [2, 73], [2, 50], [165, 242], [1, 63], [132, 189], [31, 78], [9, 65], [1, 50]]; loss = 0.013407 low_pass_filter = 0.300
+Epoch 0: | | 28789/? [5:02:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 28790; scene = ['1e0a0f8d3401042c', 'a2d077e3dad263c2', '790bbbeead8c0e0e', '5e29bcfae9e5fb61', '537580f71422704e', 'f9807395b04502f5', 'e0ea545b60dd789d', 'bfe0901cfb38d2cf', 'd6038e785afd0093', '84e25ecb06005b3d', '6800afc66bce418b', '7f2a99f4ff231259', 'a3af37daf8b5c893', '2e650237ca8d6693', 'eb0e080dec6bd224', 'cb588f2847ccd105']; context = [[39, 93], [10, 63], [100, 154], [5, 92], [196, 261], [37, 95], [0, 77], [16, 82], [11, 82], [5, 87], [183, 258], [9, 56], [42, 89], [6, 63], [41, 92], [11, 70]]; loss = 0.012106 low_pass_filter = 0.300
+Epoch 0: | | 28799/? [5:02:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 28800; scene = ['f65d66cfd92cf77d', 'e703ae014c23f104', 'cd2224dc5cf1aeba', '22dbf576eb8db504', '52c03029aae94747', 'bca840550b078409', '9fee40ca582e58d6', '882f329f32924c9d', '133e6aba1f4981de', '468e229934b61565', '8b6812cc97c593a2', 'd386b37368dc5e62', '6a1702f5bb5aa428', 'dd341da195f7b96c', 'f6a26ccc446efd6a', '1bd6bc7d70905b2a']; context = [[13, 60], [37, 116], [147, 200], [6, 84], [137, 205], [154, 216], [37, 101], [54, 107], [16, 96], [57, 112], [14, 90], [53, 138], [9, 70], [115, 184], [35, 110], [8, 55]]; loss = 0.018157 low_pass_filter = 0.300
+Epoch 0: | | 28809/? [5:02:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 28810; scene = ['d008f5d618fc4673', 'ba88bafc439f3256', '83c73865f19da6b9', '977bc7d4ee8f7c38', 'ef41f7e5745d4f2d', 'e91ea9998edd1a3e', '99459bda32d09b3a', '43b39a6fba1f9169', '90581cd87395ed12', 'e09a82670b5bdd56', 'ee7aeb263d8e1bf5', '69e667ecfe78bb3f', '65f1a35468f6b32c', '530aee7e4221e7de', '7ccad0917043f74b', '9cb2468ed48b5fad']; context = [[55, 113], [20, 83], [15, 97], [16, 74], [25, 80], [41, 113], [3, 59], [100, 174], [74, 163], [1, 79], [106, 154], [34, 112], [35, 99], [0, 60], [95, 147], [97, 144]]; loss = 0.015236 low_pass_filter = 0.300
+Epoch 0: | | 28819/? [5:02:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28820; scene = ['9781be61f9af7b83', 'fc977ce61dc2c120', '2072690f45c56622', '78d73817c622b1c1', 'f26009799d9c5d1c', 'acecfa180eb09ab5', '9cd1ed50bfed811a', '67ae1bac6fcef518', '79049d915465c4e2', '4379921e6438fdac', 'ad37a470893adb0c', '44d3acc81bf24865', 'a8ae95c162e03289', '089cbe98ad3beddc', '76f53a277c8e50cf', '655234c2b421904f']; context = [[60, 127], [90, 177], [123, 182], [15, 79], [20, 68], [66, 111], [1, 61], [0, 53], [17, 66], [49, 109], [47, 94], [15, 75], [10, 69], [45, 124], [13, 101], [1, 54]]; loss = 0.015163 low_pass_filter = 0.300
+Epoch 0: | | 28829/? [5:02:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 28830; scene = ['3c8cc7b6f503fdb3', '4bd3f7b081be9424', 'b5467bb8093847f4', '1cfd6abc90a49445', '9e96c9dd6e3fc876', '92f95119adcf6932', '90daa00e8511dc42', 'c61dd70f9cdbb5ae', 'c509e6e7aee4fed8', '10af229200d8e189', '1e6721a318a0011b', '7b68110a36d9b598', '7fd22122081822e6', '607df63ac84ed24b', '02e2b6f027f4aff9', '74dcad37801d064a']; context = [[10, 56], [112, 177], [108, 174], [8, 70], [51, 119], [32, 96], [29, 83], [56, 105], [24, 95], [174, 256], [17, 85], [4, 77], [145, 207], [128, 179], [53, 125], [60, 110]]; loss = 0.012154 low_pass_filter = 0.300
+Epoch 0: | | 28839/? [5:02:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 28840; scene = ['b81f8affbd4806c4', 'f22fc2b3c9f19013', '9af2d010dab929f1', '7c7532f300d608c1', '1e9dc61349d8a0bd', 'df6ed72940507774', '07a0e90120a50d16', 'a945e873145d0009', '265602128d5ab400', '5f87465e4c3f3cb1', '707f269a33776969', 'cc98f68f9382345d', '41ea63dff889dba6', 'ca0906c639993ffc', 'db55f6cff323e242', 'a74868eb24abfcbf']; context = [[98, 164], [2, 78], [38, 98], [78, 132], [100, 180], [4, 65], [59, 105], [0, 63], [47, 137], [21, 86], [10, 61], [9, 94], [13, 76], [9, 93], [12, 61], [0, 46]]; loss = 0.014191 low_pass_filter = 0.300
+Epoch 0: | | 28849/? [5:02:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 28850; scene = ['f1413d4b0150c873', 'd86f4e1c0c620319', '94e0102a60f366a4', '19c31d553e4ed1d2', 'a580e463d43489d5', '5c285053ca7795fe', '243a4e01f4205e85', 'b194d521d939fe38', 'b75d90c65923526c', 'a017b0cb12cc18ab', 'e89204339a7669ef', '4bdef6c0c3e06ae5', '9024684dd45d925a', '3148978637e8f426', '0d93e2b216166389', '541ae18b8f936d11']; context = [[7, 80], [113, 177], [4, 85], [158, 244], [26, 80], [20, 103], [121, 207], [11, 85], [5, 53], [0, 55], [10, 63], [44, 123], [104, 157], [149, 199], [54, 104], [131, 217]]; loss = 0.013965 low_pass_filter = 0.300
+Epoch 0: | | 28859/? [5:02:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 28860; scene = ['7ad8fd93e67cf7b6', 'da047aebfa3fa3e2', '92521846f436b2c1', '7b86053e49f7f783', '3b4634280ac06d31', 'bcf85ccd292d399a', 'ae5eca097e5aada0', 'ee9a284812163f19', '4edb55cedc9abc65', 'd449a998f2a66c3e', '335986becc65b59a', '079e270123c80df2', 'ba04100dab2dad98', 'c81116e9985d9e29', 'e66860cc136f6424', '0dd89c7680c86b9d']; context = [[5, 53], [4, 77], [25, 92], [117, 197], [64, 124], [63, 109], [26, 74], [87, 143], [75, 136], [1, 81], [7, 73], [51, 134], [19, 68], [53, 118], [9, 54], [1, 56]]; loss = 0.010811 low_pass_filter = 0.300
+Epoch 0: | | 28869/? [5:02:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 28870; scene = ['feebda925b98fa36', '6fd2936069711506', 'db3a0c396315ffd6', '5124f62ded6ed532', 'de8327202222574b', '4c3de91ec17fcf1d', '7b2c2fbffc77fb62', '7c4d7e4101f650a3', 'd879c2b5009d8609', 'a3f2155143d6c89c', '37d046e89ee31955', '52f9538ae3c50f6f', '91c2d513227d9916', '0e1fa7070f1a4109', 'e7c86a01ea781aaa', '9c41c4a921687df3']; context = [[1, 71], [61, 124], [0, 55], [28, 110], [28, 97], [110, 200], [19, 68], [95, 179], [20, 68], [92, 151], [3, 51], [5, 68], [25, 99], [189, 246], [19, 86], [0, 58]]; loss = 0.014425 low_pass_filter = 0.300
+Epoch 0: | | 28879/? [5:03:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28880; scene = ['cb2ba9b4d720bb40', '385784497d18f169', '873e1ebab2825e24', '6ab6e123d49043d9', 'c0377f906e517cf0', 'd279bde694a7da41', '03b8581787381b58', '7bddc26793e9e69b', 'f0a4a4cb065efa53', '65c4746a5f0a43b7', '9e3a42fbf9b526a0', 'bde49071d2088850', 'd33a9e90e1416efb', '39343936591c28de', '2793fb40fde74ed1', 'cd1d18dfeb3ffea6']; context = [[2, 47], [27, 73], [14, 59], [19, 109], [49, 98], [17, 67], [0, 47], [31, 80], [50, 100], [43, 114], [11, 85], [88, 145], [6, 78], [63, 115], [46, 119], [49, 133]]; loss = 0.013436 low_pass_filter = 0.300
+Epoch 0: | | 28889/? [5:03:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 28890; scene = ['857827e759dc61c0', '66b5340b614763d8', 'd377a7d7c1395797', '6368d5b1d60b2ce0', '0b570463d2dee7e5', 'd98acfb229c132d4', '53f124b7faa90bfa', '1ad12c3a248af8cf', '3dcab1ed660e86b0', '4e9259a2f1ca8172', '74ae525e53e4e839', 'e829ec9aab3d586e', '319afca687117c09', 'b9eed5c3bc248446', '5099c6f3fb93e684', '3e0b7385bac9943d']; context = [[0, 47], [1, 55], [40, 92], [88, 138], [1, 81], [3, 81], [82, 154], [3, 65], [16, 94], [4, 59], [23, 86], [71, 125], [30, 87], [89, 160], [98, 147], [68, 143]]; loss = 0.013429 low_pass_filter = 0.300
+Epoch 0: | | 28899/? [5:03:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 28900; scene = ['c23fe454bdf2aff2', 'd54159912c53e80b', '56a2ac4100abd798', '8f8db78b02cc1d0d', '506753022747f386', '4946a0355cebddad', '4157be3703b992c9', '4b1bee2132817957', 'a8c10c5aa79981b7', 'b68b9b1a1ab77486', '2930993bd1238463', '3edec5566634bf79', '0b8d8fb78f8eb2ec', '09c33ea4c1727b72', '88a7d77af37d91fc', '541bd5636fad60e3']; context = [[159, 208], [90, 172], [48, 108], [60, 143], [25, 110], [1, 70], [44, 98], [32, 92], [8, 59], [1, 63], [11, 60], [14, 88], [8, 63], [13, 61], [25, 75], [3, 78]]; loss = 0.016225 low_pass_filter = 0.300
+Epoch 0: | | 28909/? [5:03:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 28910; scene = ['488f39c1a5278615', '00f0764e16d6b22f', '5744343c3743a903', 'a117f67a8c5faf42', '329876629ae215e2', 'a62149ceb725ed31', '6da9d447d687367d', '91641027c5a42937', '6b1df56d16c76f89', '757f82503cd805f0', 'a16ab48a335c2363', '96a9a981e60cf27a', '5f42c04b5ea03b53', '63931c43c4ca2218', 'a6fe568fafe9518c', 'be744a8b88c60270']; context = [[58, 115], [7, 78], [36, 112], [20, 98], [0, 71], [4, 78], [55, 109], [15, 87], [13, 67], [1, 46], [0, 55], [34, 124], [6, 63], [68, 134], [3, 71], [201, 269]]; loss = 0.014832 low_pass_filter = 0.300
+Epoch 0: | | 28919/? [5:03:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 28920; scene = ['a421fa44be30ccf8', '6f8b2d73ed0da2f1', '916ba32c24c8014f', 'a5f3bc6da5870232', 'faf8b5d86e8b83de', 'b4049b5f74fe2c1a', '484b6df8b586dd1a', '02a840608387c7e1', '7c3c345404cd29ee', '9a8fd1d3cf706b89', 'b3ccb1e1003fcb6d', '9fb3173ad654a32f', 'd8f23d503b820e53', '7c6a8caf90ddc0fc', '57112bf6cf251fe1', '3370b1a40953d7ca']; context = [[39, 94], [69, 153], [2, 79], [67, 113], [12, 79], [7, 97], [67, 132], [0, 57], [22, 93], [49, 97], [14, 84], [59, 112], [24, 72], [20, 68], [0, 58], [0, 62]]; loss = 0.015864 low_pass_filter = 0.300
+Epoch 0: | | 28929/? [5:03:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 28930; scene = ['dedd2069b0d6eb9c', '1d73b17a7d797570', '5a2613c4e0967be4', '94fdf9265bb7b48f', '1fa6c5135d010aa8', '7c5b46a34157e77b', '7f8c3b43ac10d37d', '4a1362e904d70076', '74beaed0bda427e3', '30cf7e0c34993183', '3fb72160a021e835', 'edbbab4152cdeb19', '5fde16a64e4bd9dc', '210ec5fde0310938', '29a2d24653a37bb2', '3eef59121f03d8e3']; context = [[70, 157], [7, 76], [1, 73], [7, 55], [100, 168], [3, 51], [32, 78], [43, 91], [14, 103], [42, 91], [78, 146], [5, 72], [16, 71], [0, 66], [109, 169], [22, 90]]; loss = 0.015489 low_pass_filter = 0.300
+Epoch 0: | | 28939/? [5:03:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 28940; scene = ['c998093c16301e1f', '5bb3babdc48efe4a', '6c46572e24efcbad', '9a54201f9e2fd9ea', '9818f405d4141244', '4290b20ce8737842', 'd02ff663fe8c426b', '189366a33885235f', 'bbce012515d4884d', '7a2844b5e0ca5120', '0a73ef739700242e', '41f5163f4425f3f0', '9ae904981efc4ab1', '482c01e057fdec27', 'ac8756d6c28dab96', '78b4a3aa2803aeb0']; context = [[5, 68], [151, 230], [39, 110], [40, 128], [116, 183], [43, 101], [12, 59], [146, 231], [136, 183], [90, 135], [6, 91], [5, 70], [15, 94], [139, 226], [15, 76], [73, 145]]; loss = 0.015406 low_pass_filter = 0.300
+Epoch 0: | | 28949/? [5:03:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 28950; scene = ['e793aa73b39e0b97', 'b014023dfb2ea9fe', '745686abe5c2f2da', '852636eaef9d5b80', '1a736e493911694d', '4bf058f563c0a490', '857d3057983ec0e4', '11c8947fe99c636e', 'a5abf69689e9fa5a', '6163957bb7cd2431', '856a27ea77b5fcd4', '2cb2aa9ce954a994', 'f7250d685b344afe', '6721a0a0d0714e8a', '74ad06639c7b1a50', '352fad8be7900b46']; context = [[33, 119], [150, 215], [10, 91], [130, 215], [11, 65], [58, 146], [36, 115], [158, 242], [7, 82], [10, 75], [47, 105], [0, 77], [171, 229], [0, 69], [7, 53], [93, 179]]; loss = 0.015484 low_pass_filter = 0.300
+Epoch 0: | | 28959/? [5:03:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 28960; scene = ['388f3f84cae62fff', '225295c24d63c305', 'dd16d8d3c1f7cafe', 'cc9379471477aa68', '27df0115a09d7a8a', 'eb6059040fefa2cf', '6372bfa2800cac88', '47739a4198e8ecda', 'ba2f547ff823f99a', '911a6a269ecf479a', 'f7abe583759cc249', 'fe366a0fc6fbf5a9', 'a7ea6ef04df2bbdc', '35bedfbb2558fad8', '82cded2e533c1edf', 'c8e5656820b23246']; context = [[115, 192], [16, 78], [6, 63], [0, 59], [46, 92], [1, 49], [18, 76], [11, 72], [23, 88], [2, 68], [1, 47], [3, 74], [50, 113], [18, 68], [66, 120], [1, 53]]; loss = 0.013903 low_pass_filter = 0.300
+Epoch 0: | | 28969/? [5:03:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 28970; scene = ['5435e53721106caa', '52ebb1e5244c98f8', 'b8c66dab70ecc10c', 'a8cbaa3a2cf23f3b', '4fd849e3dcbb6a13', 'e69e5f4ed16dece5', '149e3da8c38033e4', 'a79a87024638c179', '0e756ca6320830eb', 'ef893c260a432434', '4719fa8b7d595024', '1b24d200b5bca5d7', 'c41c2c1a8658828a', '15279d92ae0333fe', '955afd88d704951e', 'bb5dd6d4b42cfa6a']; context = [[81, 143], [3, 81], [26, 104], [1, 62], [95, 178], [24, 91], [8, 79], [4, 63], [141, 219], [199, 264], [10, 89], [128, 173], [28, 73], [0, 63], [15, 78], [13, 88]]; loss = 0.016761 low_pass_filter = 0.300
+Epoch 0: | | 28979/? [5:04:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 28980; scene = ['5f5f690da0e4ecbb', '9a92a4070785e9b7', 'ea21efe547c57ccf', '6c3c8af4da8a4278', 'dc1d3b4c937283cd', '5629513f08256634', 'd6956a508357c234', '7fd96332695379c4', '1e7dd85214355c28', '8d477bf98d12daf9', '1d0b10cbbff05450', 'f8d7a15647c40d7e', '998b0da0bf77d594', '1bc88fc26a0693d9', '4e8f9334e2eef69a', 'e1fd9e5d95847128']; context = [[139, 203], [47, 112], [30, 80], [6, 60], [70, 115], [58, 113], [129, 206], [62, 130], [10, 72], [45, 113], [28, 79], [15, 82], [1, 61], [4, 92], [37, 110], [19, 90]]; loss = 0.014854 low_pass_filter = 0.300
+Epoch 0: | | 28989/? [5:04:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 28990; scene = ['87496b4445d7539e', '766faacf860da300', '353cdac18ea04920', '24ac625c8f95dd37', 'eec5b25d9b090878', '2f321a2fbb58cb79', '1da206992563b2b9', 'b71fbffa97db928f', '2813e378279c4fad', '399b6534f47214c2', 'c43469ca9350d88b', 'be15a3c0fd266f0f', 'c5f9ca57f5873e3b', '3fb2a360fe3a0dd2', '1dd33197c6d3bb4a', '6ff4bea30b84b37b']; context = [[30, 82], [86, 150], [0, 82], [5, 56], [21, 76], [48, 131], [24, 71], [80, 153], [117, 206], [84, 169], [11, 63], [78, 153], [89, 174], [37, 95], [23, 89], [0, 68]]; loss = 0.013983 low_pass_filter = 0.300
+Epoch 0: | | 28999/? [5:04:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 29000; scene = ['727208bc2af4c8a2', '8fbcdc76964a6907', '935ee686ff5710e3', 'f9ecef329d8da290', 'e43f122db47a227c', '0c2ce688132e3ccc', 'e897826c02fc4e95', '047b29485a1bbf20', '550898fbe362b272', '3eadb758df91389b', 'c5b7258e5a3d9896', '88442d4eae4203fd', '076b919446a45cda', 'a0f72cf44dc5854a', 'acbcac55198d0a7c', 'a88b9db347ee5b96']; context = [[38, 95], [73, 133], [188, 278], [15, 71], [0, 82], [43, 101], [67, 132], [90, 147], [12, 102], [3, 65], [179, 234], [0, 47], [1, 65], [46, 129], [16, 73], [98, 145]]; loss = 0.016866 low_pass_filter = 0.300
+Epoch 0: | | 29000/? [5:04:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0validation step 29000; scene = ['ee449870b417dff7']; context = [[26, 90]]
+Epoch 0: | | 29009/? [5:04:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 29010; scene = ['6432570e1a1c49f6', 'fc801406b1f9db3f', '95f88ab4932e5ee7', 'eff8b7d918bbe2cc', '3bb8ca11ff6e54c1', '0400474c688a355b', 'd41080892de5082d', '697df23e9f5fb6f5', '9bd288cf20312774', '80b1821ff73c7ae3', '3dfdf65958a3a147', '8f7fccb6c673939a', '346781ac920e73f3', 'a1b6b2fba25cb6fb', '0d07d28865590571', 'e7d421b2fea9ec9f']; context = [[8, 93], [115, 197], [30, 77], [96, 157], [56, 126], [27, 84], [21, 78], [30, 102], [36, 98], [7, 86], [63, 111], [1, 88], [21, 104], [13, 61], [0, 66], [4, 83]]; loss = 0.013439 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 29019/? [5:04:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29020; scene = ['9a9b6895e751f805', '4e588d9d58d1ec06', 'e74747cee3562cb8', 'fc288d31eaf6d461', '0b49ce385d8cdadc', 'fd9a558bca043974', 'a7bb9bd60c7fde79', 'c13c2d4b3e68a642', '1c9bb80541c4253f', '01f034d17b3cee6a', '30fdeea829c306d2', '611da23a8ef358ac', '2ce94288c2c257e4', 'fc3ee0f062e9a2e8', '3e715f03f925cf3d', '9c3ebea75620b57e']; context = [[95, 181], [4, 71], [1, 85], [72, 154], [88, 177], [1, 65], [1, 74], [39, 91], [155, 210], [7, 66], [155, 236], [41, 93], [40, 108], [16, 69], [9, 54], [3, 49]]; loss = 0.017367 low_pass_filter = 0.300
+Epoch 0: | | 29029/? [5:04:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 29030; scene = ['f44b9aa76a94a0a3', '13e4423e7785869c', '719e2e8912e4eed3', '9a0f4211c26316ec', '25732504cdff0b15', '85a7c0a79d43409b', '0a9c59b9430a7e2e', '6c3768786d78dafd', 'ab0bc4f20f980b5c', '28511b9f2fdb1a1c', '2d993758bc643a4f', '69214171f3c09b70', 'f40f4a376ef86065', 'c57f01070bc2b9ab', '957356aca370c325', '659413092374c91d']; context = [[18, 106], [31, 83], [15, 69], [4, 91], [32, 88], [141, 191], [12, 74], [32, 114], [0, 46], [6, 70], [61, 111], [41, 91], [0, 62], [12, 67], [183, 254], [3, 69]]; loss = 0.015703 low_pass_filter = 0.300
+Epoch 0: | | 29039/? [5:04:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29040; scene = ['a9292cfbfc529241', '8f704f54edccd196', '1a57c3ecc5849fe5', '1542e2c1f3aa9e8d', 'e0feeb21d0e40767', 'bada3acbfed62d2f', '80c759aed9065f8a', '59ae2f224b858800', '327bc92a7c827a04', '35a8eaa93452fec2', '17302103a2bf22c9', 'ca0427ff361f6b48', '9296414f98736bb1', '827f8dab32b0b4f6', '5273c5cf3687d3e5', '302394205f221256']; context = [[52, 104], [68, 139], [31, 76], [170, 222], [0, 45], [24, 88], [1, 47], [3, 72], [7, 66], [4, 51], [90, 173], [2, 61], [11, 93], [167, 212], [7, 52], [142, 206]]; loss = 0.013249 low_pass_filter = 0.300
+Epoch 0: | | 29049/? [5:04:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29050; scene = ['8cc4a9c07940e030', '5ec3fb8cde184b21', 'c554cbf54f3649c7', '2ad10a10ef9c7fbf', '0d73883da630b51e', '52cf322c0a38fb11', 'f72ed6e42de68650', 'fedf0f2c8ce522e3', '66a7a77919349f0c', '43cb4612e252bc5a', '975e7c30f49f1f66', '235c4e41c5a079f2', '1a81722d05a00087', 'de086bffb414572c', 'ea2ebd9ebc8d2357', '217821fbe60aba9e']; context = [[25, 83], [38, 90], [15, 76], [50, 119], [1, 66], [8, 72], [28, 91], [3, 84], [0, 83], [54, 133], [0, 87], [38, 120], [164, 253], [11, 70], [2, 49], [1, 51]]; loss = 0.012351 low_pass_filter = 0.300
+Epoch 0: | | 29059/? [5:04:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29060; scene = ['9fdeb0d1eeb78a3e', '30191495233db79a', 'd1971fe0b38b52bd', '2e2f1ccf62989277', 'ea8dd7144f70a1b0', '8caccc97dbc76d19', 'd084bcb064ea2f55', '669a178ba2796066', '186236edb339f199', '8aa5ccddbcba09de', 'a7b6de0edf8b5430', '450a8009cd7801f8', '8e0a13fe11111b79', 'd326bfbbf5581ec7', 'c665a1d73ca58dd8', '073e687120bf353d']; context = [[2, 60], [23, 101], [28, 110], [135, 215], [0, 83], [5, 57], [1, 48], [46, 108], [34, 97], [19, 69], [22, 105], [69, 135], [7, 56], [35, 116], [37, 108], [3, 87]]; loss = 0.016336 low_pass_filter = 0.300
+Epoch 0: | | 29069/? [5:05:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29070; scene = ['0e6c412653b3296b', 'cb98996ab8535352', 'a21c63b3845a0104', 'd1d08131c767a91c', '3c0c0cd1458685c1', '2d834e18566a6ba6', 'c1ac84811272c1cc', 'da33c1aed3690b98', '967e7ddd3837be0d', '0e38541cd280d9bf', 'f7adcb2981b56215', 'f98f1a15850aaed9', 'c51bbe2cf79b572f', '8cd4f583ad67b0d9', '276c19248173dd64', '4777dc29a1d20c7f']; context = [[114, 177], [43, 109], [33, 108], [10, 64], [34, 102], [120, 170], [0, 62], [1, 76], [1, 49], [26, 89], [0, 89], [3, 70], [12, 60], [12, 85], [8, 97], [59, 118]]; loss = 0.012205 low_pass_filter = 0.300
+Epoch 0: | | 29079/? [5:05:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 29080; scene = ['0fc2d2e45645813b', 'c699a0c7b862e041', '41646b4cab9e19e5', 'a165cf3b52d52672', '14ca9b012a709593', 'fa94ec464866ccfa', '0f131672e69409d0', 'f01c5823afd06b8f', 'e47853cf56368a5b', '51c8648c007411f3', '6f4fa4d46828ff39', '47b06bf4257e2e6f', 'c8af8613f643a65b', '6dab80117b1cb479', 'dcd8192614eb6df6', '6fa448f84a097593']; context = [[39, 129], [2, 57], [7, 53], [115, 191], [63, 110], [12, 83], [56, 123], [107, 182], [37, 97], [2, 49], [79, 126], [5, 64], [186, 261], [39, 119], [29, 110], [41, 93]]; loss = 0.017514 low_pass_filter = 0.300
+Epoch 0: | | 29089/? [5:05:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 29090; scene = ['cbb1d6fd5844b39a', '6ca5fd3806df41b0', '4ec11705076176ff', 'd1d323471a705a5a', 'da045bbb617325b9', '57b11cc22a3ede53', '7bc02ca58f80e36e', 'adba70f5a653e33a', '25d442a8c161f603', 'a25f360183d23472', '3b7b77ba4a9de6d0', 'c935c4a51c51c8be', '9cdf3826b7e9a91c', '3709b553819bf2ea', '4d3c79cbb5f5c500', '3c0f96460282d9e5']; context = [[91, 159], [31, 89], [32, 116], [16, 65], [82, 152], [35, 90], [118, 201], [38, 92], [52, 138], [40, 123], [15, 66], [0, 88], [49, 130], [8, 66], [46, 114], [103, 170]]; loss = 0.013731 low_pass_filter = 0.300
+Epoch 0: | | 29099/? [5:05:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 29100; scene = ['6e024fbe00be60cb', '1cacfe69c509febf', 'f64382ecda10da42', '68742c3ac6d511e5', '2b63c5c022a05285', '8eb2d8f27faac47b', 'e56221b081fdab71', 'f733d225ad2bb09a', 'f97b13a0875462d6', '778db35244748422', '2f2297ad8904a1c1', '859236e0cbc2f4a5', '9b0b1203fa711a60', '9f764191ad5c1c52', '959d906c7ef5fd13', '46dc1969daa50155']; context = [[70, 144], [34, 118], [0, 61], [6, 59], [1, 52], [5, 59], [0, 57], [13, 82], [84, 148], [30, 84], [1, 72], [9, 54], [19, 109], [25, 81], [101, 181], [10, 59]]; loss = 0.014542 low_pass_filter = 0.300
+Epoch 0: | | 29109/? [5:05:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 29110; scene = ['f9a7be1e0104decf', 'c15bde67c4d28f80', '8cc30a7da032758b', 'd12d90e1193e38b7', 'e33f75937740f4bd', 'd782aeed17560ed2', 'c98a8f34da829645', '6f6798d8975dd372', '7f437dc9fea6612d', '709e2b69775f5c88', '84b82a9506bd8483', 'c86dbf4a14acee88', '8985363b7d718a34', '8d55943b8c94ce05', 'c07925f68903fc57', '9b43abdb58522c0a']; context = [[36, 100], [17, 73], [21, 103], [0, 54], [0, 45], [6, 73], [4, 49], [22, 91], [70, 138], [18, 87], [83, 166], [19, 104], [46, 124], [27, 95], [0, 45], [9, 81]]; loss = 0.014919 low_pass_filter = 0.300
+Epoch 0: | | 29119/? [5:05:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 29120; scene = ['ecdf96cbc206b705', 'd33c8f0679967f14', 'dd70a2787fc81ef7', '366caad30aeb35c3', '1fbf35024dbf8d68', '804a28c80dbb7cf6', 'b123dd2c895e2267', '693fbf5b514480f0', 'b679f3152c617803', '2c3832975edda3e6', 'd8b1092e3ee04227', '40a36a6b415dcae5', '7f2487897b9a59ba', '40310afa91e30b40', 'e2a60d710e081071', '06a5584434579664']; context = [[41, 102], [59, 140], [14, 76], [84, 139], [6, 87], [2, 67], [36, 104], [107, 156], [109, 161], [3, 53], [35, 101], [42, 88], [113, 199], [9, 55], [16, 72], [23, 69]]; loss = 0.014411 low_pass_filter = 0.300
+Epoch 0: | | 29129/? [5:05:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 29130; scene = ['e3a6eacdb71991df', '84fe6f5135b78ab7', '46bfe15fcc4b9c6a', '0d30d0cdb121a470', 'ae10cb914048bc7f', '13a86bd4c6a00650', 'b9407d9d39d95fa1', 'db282d30e9fd10c8', '20900f0b1d0b4941', '86f18d96a57853e0', '2ba0b8dcd5e15b56', 'df947ff0095f6d26', 'bb899c81713bdb22', '96a6ec4c056744f6', '3de78a7d8061257e', '5c8cb60ed82dcb13']; context = [[22, 95], [64, 147], [30, 116], [59, 105], [10, 77], [16, 65], [0, 45], [8, 57], [132, 217], [10, 91], [10, 57], [0, 47], [46, 113], [217, 269], [0, 65], [46, 109]]; loss = 0.014607 low_pass_filter = 0.300
+Epoch 0: | | 29139/? [5:05:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 29140; scene = ['41646b4cab9e19e5', '0fc2d2e45645813b', '774047a695fba862', 'bd814603b3e38fb1', '360a6813db41635f', '5b756acd27bfbaa9', '393d36b4e000e53e', '10776649648dd771', '9ee7f1eabda78b00', '33ff98f64bd54430', 'c7ee83d8929847ee', 'd3586ad30c21ff73', 'a7e596c98a39e95b', 'b7894f3a4d70458c', '32ae7fba9602f4ab', '278021dd2365e867']; context = [[20, 102], [22, 109], [20, 90], [142, 191], [121, 188], [1, 53], [32, 82], [69, 137], [37, 101], [31, 87], [199, 271], [20, 79], [58, 106], [127, 173], [11, 74], [15, 101]]; loss = 0.014645 low_pass_filter = 0.300
+Epoch 0: | | 29149/? [5:05:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 29150; scene = ['51fd3d224a51ab29', 'cea82c35154a20ce', 'd5241fe7f3ce7490', '7e69235a38f85779', '0f4bb16169333817', 'b9b83ef31222c2ee', '51504900fa03f469', 'ea83dfd340855fc5', '58e75e2b5b11725e', 'eb3d4493eabc70ac', '17d579cd9c3c11c6', '8230269d5694b850', '46bd6ac81c2ca6bf', '09f447a82910d9e2', 'f4f078781be5bf1c', '6e81169e32e8c8e9']; context = [[0, 64], [27, 102], [80, 155], [66, 115], [0, 86], [3, 85], [19, 73], [10, 90], [81, 162], [103, 173], [23, 103], [15, 104], [22, 96], [79, 158], [19, 93], [15, 77]]; loss = 0.015360 low_pass_filter = 0.300
+Epoch 0: | | 29159/? [5:05:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 29160; scene = ['425386b8c72dc44f', 'f557a8939e2e48c8', 'e4da6ce76e7c98e0', '16d1fa87a1f564fa', '3b2a6d47c6d69556', 'f22ef1d4163a72b2', 'bca122ebc3c7e145', '6fc4cabd42daaf63', 'b878dfc4a56ec619', '2ea89db4267fbfe3', '08712e8c0f0bfddb', '9aa2344ab1fce074', '1101a01ecfb13572', 'eebfd07c5aeb7eb2', '39fb4d9b5a1a1a52', '397238dc9e81dd73']; context = [[71, 160], [13, 79], [42, 106], [79, 163], [34, 122], [4, 86], [12, 91], [5, 73], [15, 63], [149, 203], [5, 51], [22, 89], [19, 72], [20, 80], [34, 80], [13, 96]]; loss = 0.013311 low_pass_filter = 0.300
+Epoch 0: | | 29169/? [5:06:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 29170; scene = ['41eca61ee7abdbf1', '4b6f368238db6ba0', '334683227f0e3f59', '9c4ed2cd8353b8c7', '11f58bb45f6b246a', 'a5bbbc8bf57c2d39', '625eef7459761a4d', '228568723e619e85', 'c2f2994c1329cf74', '99c8545c72314b71', 'd3ecc9f89d8163a3', 'b8252179ea1e7036', 'e5447ec8725011a0', '5f19c87933afd12e', '61b70b736221eee4', 'b7395f918497e87e']; context = [[5, 81], [6, 52], [123, 213], [6, 78], [8, 70], [113, 159], [63, 116], [3, 79], [41, 123], [8, 56], [186, 248], [49, 111], [152, 218], [23, 71], [43, 114], [17, 92]]; loss = 0.012266 low_pass_filter = 0.300
+Epoch 0: | | 29179/? [5:06:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 29180; scene = ['0adb4d3efcac0c74', 'da59d27ce6181bf7', '87fa7fb5d2334e9a', '3a9ebf5a3e5a0084', '26b0b526871051b0', '431514962cf50462', '6728c9a1a6a7db19', 'fc5e62bd0fe77be4', '2937573d15ebe7db', '07cd58c474f37e34', 'c79cbd9f54fd705f', 'b1cdd9dba621d54b', '6b0ea22bc361f3b7', 'a2dbdbbc7abf37db', 'e996e338733070a0', '6762dd4ad61363ba']; context = [[48, 96], [1, 49], [29, 80], [17, 102], [14, 82], [27, 84], [3, 58], [65, 142], [63, 135], [2, 72], [7, 82], [33, 119], [99, 165], [29, 81], [114, 176], [17, 107]]; loss = 0.012284 low_pass_filter = 0.300
+Epoch 0: | | 29189/? [5:06:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29190; scene = ['11cb6e4eb7eff773', 'ac37a208ed2030a6', 'c221f94fe940d767', '08b93081fdc7e4a8', 'd3591aba84464e08', '62fe02904a78396c', '07d5b90cb76f75b9', '0754475e197e45c4', '01e5b8b1904b4622', 'c47ae12f973280ee', '9f06aac5688af47a', '51fd0c2fb24c2da0', 'ff2dc1b54c10de9a', '279f7ca2ddf70536', 'd182f5c20bd69f66', '080f812368d8e1bc']; context = [[28, 93], [38, 83], [20, 68], [42, 95], [0, 54], [8, 56], [11, 77], [18, 99], [17, 92], [113, 177], [28, 85], [14, 64], [75, 132], [20, 75], [47, 97], [2, 50]]; loss = 0.012920 low_pass_filter = 0.300
+Epoch 0: | | 29199/? [5:06:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 29200; scene = ['eeab6fe931963753', '3e6c396364e093f3', 'dfb0d3dc0e39b336', 'c90611c8c46212c8', '11351ffd74c96aa2', '535dd05866664359', '0f10ee595239baa1', '101a8cc8a0021ec3', 'c55c2217e0012adb', '83270f13433486e2', '4f41969b4c4007ce', '0cb01a5c1df8ebf2', 'f03ae27ded507fe3', '3d482adab376b844', 'cfc49cc259fea938', '2186945769367f83']; context = [[3, 74], [0, 76], [1, 56], [10, 55], [9, 85], [13, 85], [1, 59], [49, 111], [8, 89], [56, 111], [29, 99], [89, 158], [2, 56], [1, 46], [16, 81], [5, 54]]; loss = 0.014040 low_pass_filter = 0.300
+Epoch 0: | | 29209/? [5:06:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 29210; scene = ['a49b348548dac198', '6e265cfc58ee5e9e', '50f06676dfe7dede', '306aae11d6305f95', 'aad0b5079f1ae97b', '859bb0d976d968c4', '84348853c9413627', 'd6d3de14a1fa2146', 'befde20b572df41f', '3e7a048c43b4801f', '90470d90591e24b4', '3e7830b3da1ac210', '178c528daa5656b4', '8ef0da3c9de40839', '288ca6ac9cd80107', 'e3b7ad08eabe362e']; context = [[28, 91], [21, 73], [12, 62], [1, 62], [88, 161], [4, 88], [33, 116], [43, 103], [0, 81], [55, 119], [48, 118], [86, 134], [20, 69], [1, 60], [173, 233], [46, 118]]; loss = 0.015226 low_pass_filter = 0.300
+Epoch 0: | | 29219/? [5:06:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 29220; scene = ['a1bce6e91e619a0a', 'da23aad097fb5249', 'd9d0ec7991343291', '722421b6658198e2', '4aba3469d1ffa652', '13aa0fb5e9f145ea', 'eaf0ed1633d82698', '6d810108226870b2', 'd25c3b30b8fbece8', '209cac34fadd4599', '134cc0c11dc076e7', '228eff5991c31dd4', '144bba5b3d07b64c', '110ec70576091e1a', 'f35908d1ce4c1379', 'b78ef2bb75df9957']; context = [[17, 79], [0, 46], [124, 192], [0, 70], [26, 98], [203, 261], [36, 90], [34, 88], [55, 119], [27, 77], [53, 104], [63, 127], [16, 89], [21, 108], [15, 83], [23, 81]]; loss = 0.013843 low_pass_filter = 0.300
+Epoch 0: | | 29229/? [5:06:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 29230; scene = ['5d049f982d5d8d7d', '5cc2797ec4618a95', '5029871af393f473', '130d57f1824c8064', '25ac9afd10569fe4', 'c585bc10ea3693e9', 'cf5a161998d0582a', 'fbfa711056048092', '2c6bcba12c9034f6', 'e38f15b65f706f6d', 'f36cf47d7433abf0', '7fd277e5b05ceba5', 'cfba234676b286de', '2d028ca4f2b793c9', 'dd33a349e8d438ad', '46ef434380db311b']; context = [[34, 110], [36, 90], [1, 58], [15, 74], [25, 98], [102, 156], [6, 57], [5, 72], [27, 92], [148, 220], [25, 94], [85, 140], [47, 93], [96, 145], [52, 123], [51, 101]]; loss = 0.016329 low_pass_filter = 0.300
+Epoch 0: | | 29239/? [5:06:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 29240; scene = ['541aa65a8c4f173d', '8ff5f069510b07d7', 'a9ffa4a8880baf92', '3cead9b544108806', 'dd37eb21ca81c238', 'e64836b4e6c0e526', '7f7a18732c429b43', 'dd76269499cad639', '9706ad8d3719c4bf', '0bae86f107c0a857', '6c90656d77dfe308', '0b00169200aecab5', '0301136a1b88e975', '9312ff4d2fef4940', 'ac2a95b9a8ee4bb6', '9812c88bfb1c5c5d']; context = [[17, 67], [17, 93], [37, 82], [115, 185], [29, 88], [106, 160], [15, 77], [51, 112], [61, 113], [58, 140], [50, 127], [3, 68], [115, 160], [20, 69], [8, 60], [110, 161]]; loss = 0.012759 low_pass_filter = 0.300
+Epoch 0: | | 29249/? [5:06:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 29250; scene = ['08c3797bcc0cd877', 'daf1b72247607b04', 'f317f9ce9a6abd39', '4894ab3cd1054344', '7572e19e7464340a', 'b3270974687b5968', '8dce602c1c9187aa', 'daa7f78ff49a91e7', '0525d757d0bbed8f', '4790c19bc4ef4700', 'c91b2a4cab7956e6', 'e033e0d7c1dbc70f', 'a110555f597cd182', 'bef8ddf164b8c48c', 'ef685fbdf3e576a7', '399d4c691a973f9c']; context = [[7, 68], [0, 89], [23, 72], [138, 200], [8, 66], [61, 148], [29, 94], [9, 72], [107, 191], [83, 134], [2, 67], [11, 92], [39, 124], [36, 89], [3, 52], [29, 86]]; loss = 0.013077 low_pass_filter = 0.300
+Epoch 0: | | 29259/? [5:06:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 29260; scene = ['fd69d25a6b6d7c70', '6aa62d34da96fc7a', 'a261aeb01d043c57', 'e39ffeeb4da1c6d7', '2b1287c2ba2e8ed7', '6bda2ed53a6c45a0', '4f0388620a33c099', 'e43a9a40b0dc1bcc', '46f13edc12ac2310', '1e87f5d20a230ae3', '4a48d55a5d4d2f08', 'ff4fd16242296664', '49d738ab620034b4', '8ba1c59238cee98f', '6505408879fea5a8', 'e254872b0209e455']; context = [[25, 98], [48, 106], [22, 80], [10, 68], [0, 80], [3, 53], [35, 99], [89, 164], [5, 54], [2, 70], [38, 85], [25, 104], [0, 66], [186, 244], [30, 88], [4, 64]]; loss = 0.011520 low_pass_filter = 0.300
+Epoch 0: | | 29269/? [5:07:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 29270; scene = ['431fd85eeee086ee', '334d350f328f0f16', 'e8148e6b8d2d270b', 'c65722e2f57eb834', 'f3fc106a7bbe2155', '975359237122878f', 'ce29cb3a552da119', '74cbb85d64c53325', '5fce462dcd2dd40b', '24a2b811d49d576e', '9fc3f091cf4f8bd2', '6b2d9a2c36445976', '2b49dd5f47c1e985', '17c29c5294714185', 'ce800f1c4b9e3a9f', '0efc6af8523c24d3']; context = [[23, 82], [13, 95], [52, 106], [32, 99], [38, 125], [0, 70], [49, 122], [9, 99], [39, 99], [53, 130], [90, 163], [20, 77], [1, 65], [0, 49], [3, 61], [39, 122]]; loss = 0.013599 low_pass_filter = 0.300
+Epoch 0: | | 29279/? [5:07:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 29280; scene = ['91a51a68bde09f36', '97dd280fbf772ba4', '8e2be4982c66d479', 'b84872a112abb026', 'c8da67d9fdccb60c', '418164772a373949', '4f6bf6243912aa92', 'f3b614caf5078792', '9e51170a8e584e09', '253e8f820f98d690', 'c1771c630bca02a9', 'b8411d41299a345d', '82fb9650578cf923', '5abb32040e5b9f10', '1f0cf1a9439210f9', '94be78a8a5500285']; context = [[95, 165], [11, 99], [39, 121], [0, 47], [13, 92], [92, 163], [26, 86], [0, 63], [115, 198], [55, 109], [4, 93], [14, 61], [4, 85], [89, 141], [0, 73], [95, 148]]; loss = 0.013926 low_pass_filter = 0.300
+Epoch 0: | | 29289/? [5:07:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 29290; scene = ['3c5eb41e4d944e23', '914f26b6c98aa85d', 'caff85cc563975d6', 'aa2952a523546771', '7d9622491e2e478d', '778cbba4d1731914', 'fef928bdd59753c7', '79c39edaa2547bfa', '89bd3e44cbcc4a0f', '27acee38db3d2440', '24e1642761ed2ebb', '678d8464781a3de2', '61e85330db0ed8a9', '8e78ce55e3180547', 'dedea0cd114e8569', '2fb81102a2e8cb7f']; context = [[22, 74], [32, 111], [116, 174], [0, 63], [67, 127], [17, 69], [43, 132], [5, 57], [92, 160], [0, 54], [16, 66], [2, 50], [29, 75], [24, 112], [26, 95], [26, 92]]; loss = 0.015085 low_pass_filter = 0.300
+Epoch 0: | | 29299/? [5:07:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 29300; scene = ['63c3d74c9f4ec264', '116d93103a2aa3b0', '75a8c6b3cfd92eb8', '0eae94f75a1d9b6d', 'f36afd2815e5c749', '5af7a31355cbd8fb', '1bdd32e32e0c1354', 'f72e0d5e11df9fce', '9a54bb57c0359e88', '69fa43535c0ce54b', 'bfde7f58848d4403', '5358a81f3bc92e90', 'e06bf63d65b9cc29', 'fba24b33eae5d387', '1f0cab6463145841', '5d217b6f2d5e1943']; context = [[136, 194], [126, 193], [63, 145], [1, 83], [6, 77], [30, 116], [60, 148], [2, 47], [2, 69], [3, 52], [5, 92], [3, 72], [94, 175], [2, 73], [67, 117], [45, 127]]; loss = 0.017462 low_pass_filter = 0.300
+Epoch 0: | | 29309/? [5:07:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 29310; scene = ['0d1f13c67d0758eb', '71158ce6e52f006e', 'c6c6e42b867160a3', 'e76f29cb4a9421ed', '8a6de3060d69e024', 'a1d20c059e8f4779', '654bf5d9ea7c6074', '67244928d64036d0', 'fc0e32185a474aed', '0f9cdd2b4896adee', '7e33bb2341a764c8', '5e33cda6da0fe7a6', 'f16926351498b37b', '5ca2454d5e17ce03', '5a4291ddb11a24e8', 'f8c397088d14b26e']; context = [[4, 78], [9, 61], [14, 61], [7, 54], [65, 139], [30, 86], [17, 87], [0, 53], [29, 74], [15, 70], [111, 200], [26, 102], [0, 81], [137, 193], [24, 69], [25, 100]]; loss = 0.014246 low_pass_filter = 0.300
+Epoch 0: | | 29319/? [5:07:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 29320; scene = ['04db8c95f8e45874', 'fe53ac06ff2c6263', '7f7f11b5478d681f', '191bb7605006678e', '6e8254512a0fc5ba', '03e072a2a25f3f41', 'd9d7c7c3dd19320c', '6fa213735bf0ea55', '0f557d18cce96f92', '022e5f82ffa7c712', '54c42c5b41dede35', '7f923d7fee2e9c96', '1eb7654c68d43f2a', 'c9369bba1b6bf33a', '4594fd89a1028fad', '3eb2a8c2dd9f7d25']; context = [[63, 127], [10, 81], [3, 66], [0, 62], [4, 86], [24, 103], [4, 62], [18, 71], [52, 104], [25, 87], [67, 116], [0, 83], [10, 60], [69, 147], [111, 162], [9, 75]]; loss = 0.011599 low_pass_filter = 0.300
+Epoch 0: | | 29329/? [5:07:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 29330; scene = ['8fc6704ed8465c3f', '26a1c40a04151738', '7df06034f65de997', '66ff41cea8340d76', 'a56f0d62418193a5', 'bd4fcd098e3b2bfe', '794edeedc5c02c51', '32a3dc431068bef9', '423716b02f72a648', '68adfaa6a96e15d9', '3ad5f6586ea64736', 'c8982ca964bb4860', '48366367a5fdb244', '5da9ed6155213ba5', 'ea9df70fa4633f35', 'b0f2f68540611bb8']; context = [[3, 93], [1, 58], [84, 171], [6, 65], [14, 99], [19, 69], [1, 54], [66, 146], [145, 203], [28, 81], [31, 114], [3, 52], [30, 93], [34, 104], [11, 67], [34, 89]]; loss = 0.013065 low_pass_filter = 0.300
+Epoch 0: | | 29339/? [5:07:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 29340; scene = ['d281b8aa0b374a58', 'f01941690640a037', '74d1b65ab5dd2ba4', '89f25b63cce19665', '3ded2824a525f9bd', '70e0679f69f34d29', 'd28eca1192b1f893', '9f74175f064fe2c1', '63b03ffdf040e716', 'd490835a644851f6', '2a2334b39a65d2aa', 'd992d9cc2600c1af', '9755ef79f64c2805', '244ef5363d5600da', 'bf202c2307040974', 'aca30770bf5b5ac5']; context = [[7, 77], [90, 165], [211, 263], [9, 59], [112, 189], [9, 94], [171, 226], [6, 62], [15, 66], [5, 62], [17, 66], [6, 66], [12, 90], [0, 84], [175, 254], [57, 106]]; loss = 0.015651 low_pass_filter = 0.300
+Epoch 0: | | 29349/? [5:07:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 29350; scene = ['4138ec075d5e0fa8', 'aacf5d2fde59916f', 'a1bdb4b46cefa590', '30256cd86380e985', '2de0cff7a63a8cce', '7a9685caea3ebaa7', '0157cf2bdaa05486', 'c907383e19bd6b5b', '5fdaeb4bc51e16cc', '0f07c141e5bf8a55', 'b07f25b709830e18', '290e786418fa5d81', '74a8e6140c49f568', '6fde90b283b311d7', 'e9aabc27e8c05bba', '540887bb924d817c']; context = [[15, 103], [7, 68], [30, 104], [13, 89], [2, 58], [19, 73], [4, 63], [10, 81], [43, 103], [0, 73], [52, 126], [95, 180], [18, 73], [2, 87], [0, 58], [23, 68]]; loss = 0.012920 low_pass_filter = 0.300
+Epoch 0: | | 29359/? [5:08:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 29360; scene = ['61597eb810b1d9e8', '61137e11cabd44f5', '8ce9ec38e3d7f76c', '43ea9ccfb810c95e', 'fc65b4c09d843087', '3d8e8150800e5f60', '5b48d8a9c40c42df', 'e5ab20785c53c971', 'c96c0685e5495e63', '175e0392b1db2d9d', '96e926b97316d24a', '08a7097ff643d0ff', '5bb2af7b8fc1a706', '25c0dbeb01c840ae', '5e429c2024074214', 'cd6cd612060f10dd']; context = [[46, 117], [151, 232], [27, 109], [1, 54], [42, 96], [11, 56], [5, 67], [36, 98], [0, 60], [25, 85], [60, 117], [0, 89], [183, 257], [156, 244], [20, 72], [24, 107]]; loss = 0.015053 low_pass_filter = 0.300
+Epoch 0: | | 29369/? [5:08:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 29370; scene = ['7268a9b2c6ab4000', '392216f96e9fc800', 'a2a1f5e255578f30', '32b3ad9a970f91f3', '49f810b54cdde3f0', '81df63a4ecea570a', '46ed182c11fd6b04', '42c335ae9a3feb5d', '12879245713d8124', '8f6162ccf652ebcd', '08c9b193a605a746', 'a20b4125ede06429', '1eb163cdf1a999dc', '46a062481ab45320', 'baf6f3633f2f05b5', '1ab2513dcdc16c12']; context = [[105, 154], [173, 253], [128, 184], [98, 144], [146, 220], [17, 100], [116, 182], [27, 90], [30, 117], [2, 54], [166, 230], [44, 106], [14, 61], [0, 81], [6, 71], [45, 108]]; loss = 0.016044 low_pass_filter = 0.300
+Epoch 0: | | 29379/? [5:08:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 29380; scene = ['30a5363e5a799e20', '6b241d02421eb171', 'a435fd71c02a2517', '2792e359018c5154', 'e596d6f4aa35ba08', '30a2b94634ae2d54', '21a16d8faeb7671d', 'bb6ec4289e5f7782', 'ee847204f0e45a0c', 'e410772c78b4a48e', 'df7e0cf9a0b8c0b8', 'bfa4146967e24f8e', 'ab046bc426acc28b', 'ef056d57c9f47156', '7be76bec29cf8f3c', '589c32ddba36eada']; context = [[0, 78], [25, 105], [11, 71], [2, 64], [4, 71], [35, 113], [55, 106], [2, 89], [13, 78], [12, 71], [3, 55], [4, 58], [35, 114], [5, 83], [43, 120], [40, 99]]; loss = 0.013316 low_pass_filter = 0.300
+Epoch 0: | | 29389/? [5:08:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 29390; scene = ['40360c6f8312234c', 'a3a708f014a0d854', '04d0c305125298fc', 'a1c6682918d86006', 'b5aabaaad03680ab', '8f4f72c38d311bb2', '23264ad6e001d8f7', '9bc40f9c925f676b', 'cd54ee699c89cf1a', 'c2623048da0b7295', '204e1d9acc813002', 'eb9827fd78c71334', 'd199375842a653ec', '70d1c55ddcd4a753', '2dc50f13e83c2884', '674ef826ca7eeb09']; context = [[19, 97], [0, 46], [194, 253], [109, 154], [9, 85], [28, 94], [12, 71], [152, 219], [1, 48], [5, 71], [7, 87], [3, 81], [36, 116], [7, 83], [9, 92], [30, 96]]; loss = 0.014640 low_pass_filter = 0.300
+Epoch 0: | | 29399/? [5:08:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 29400; scene = ['9458fd60c0f2374e', '6044e6b2946dfc7a', 'b663a474fd1e4ca4', '792916e996ce2136', 'a57a21eb63f8e360', '425875b1455bb9e9', '637b4d4424886b66', 'ea4d05de31555896', '7f534ff603a04b87', 'f5d47cbf373ef48c', '56ca12de78c49588', 'c79bcc417194e054', '8b950107c02ffaa9', '9eb8e7f262b10c23', '571669c7509ed94a', 'd673c1599cd086b4']; context = [[84, 145], [2, 69], [0, 58], [11, 73], [2, 71], [22, 108], [15, 83], [54, 102], [18, 97], [16, 81], [7, 88], [45, 95], [3, 77], [0, 83], [11, 67], [5, 53]]; loss = 0.014286 low_pass_filter = 0.300
+Epoch 0: | | 29409/? [5:08:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 29410; scene = ['98f7a067bbb96008', '807a812350f25893', 'd7f2d82f83e70693', '51d68b77c408e914', 'd12ccb9176baca06', '55409d197d1a5316', '944a9a70a413baee', '7ed4bdd57f6a54de', '10246168b81faec1', '93304349a5829ea2', 'e989260aa29fa2ef', 'df2b285d8960377e', '58ac890918248833', '1c5be69e853e1cf6', '9865c77742524404', 'b5ce3b0a17fe42ea']; context = [[7, 58], [57, 104], [105, 179], [34, 116], [0, 76], [18, 64], [11, 84], [50, 140], [0, 81], [0, 89], [41, 87], [10, 88], [9, 56], [1, 54], [190, 251], [18, 69]]; loss = 0.015682 low_pass_filter = 0.300
+Epoch 0: | | 29419/? [5:08:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 29420; scene = ['7e4075ad4fbe6c11', 'd74d313290a5f924', 'd89ff83299481584', 'fb3781d4f00d7603', '5c9686d13396f9b4', '0bf5c7d6889518e9', '26d6a820f3d1ef27', '62be88274d73f14c', '7469f6bf2062627e', '9fef000277449943', '0b32002777ec4879', 'aa15eccd1181530f', 'a220fcb74c49b472', '61f4089ccb3ec461', '4523f9d14663bd9d', '6251bea5d95b50ee']; context = [[1, 76], [122, 207], [64, 110], [154, 235], [38, 118], [1, 56], [5, 72], [0, 59], [0, 73], [39, 128], [26, 111], [7, 65], [81, 144], [18, 81], [10, 100], [1, 82]]; loss = 0.013290 low_pass_filter = 0.300
+Epoch 0: | | 29429/? [5:08:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 29430; scene = ['53d9f23f88c4ad21', 'bfee9355cfa1bf11', '35d7cb99de8a808c', 'a2668a8ba41d7e28', 'b953e33b08009f7d', '31acb3482cabe228', '2e56f864030ef8d7', 'e5dac527233af340', 'e3fc0b8b215383cc', 'a1f6362dc4656707', 'b73c5e0a08d76ce7', 'dfdd7ffe0296ce04', '3ff1284c0953670b', '3c5277bcd9e4ae27', 'd1dfd1bdfbeccdbb', '070b23aeeaf1abd9']; context = [[110, 178], [6, 92], [39, 107], [15, 63], [3, 64], [10, 81], [5, 64], [1, 49], [27, 81], [8, 73], [76, 160], [0, 81], [59, 138], [160, 210], [104, 158], [82, 167]]; loss = 0.015288 low_pass_filter = 0.300
+Epoch 0: | | 29439/? [5:08:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 29440; scene = ['7f85e2eaf1461d09', '6dc9c8f3d2f53384', 'c17e5a0f4b70ddfb', '8d0f46f4f1a0fd8e', '71e569007889ec0a', 'a47b0cb2689fce05', '22d9cbefa3ad1b62', '1f4e65a2b3e515d8', '85a4a22d86fc3b8f', '123139ea072008f8', 'e892b47d9040ac89', 'ce417ca74c6ce0a4', 'c536653897e9f3d3', '1297e85443bade59', '00c14be5659b7fe5', 'fd57ecf0095b8c2f']; context = [[58, 121], [59, 148], [31, 93], [1, 50], [0, 45], [75, 135], [103, 179], [14, 87], [228, 273], [69, 157], [56, 140], [9, 84], [4, 57], [10, 59], [17, 74], [7, 59]]; loss = 0.015749 low_pass_filter = 0.300
+Epoch 0: | | 29449/? [5:08:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 29450; scene = ['ee6e6ddb7d8979dd', '7e0fa7fcd96b897b', '4ace5ceab3baa8b9', '4ec6a005f3d133c6', 'ba76b8eaa41f79d6', 'f6bbe443c64d2d10', 'c9b909de78f0cecf', '097eafa76ddaae5c', 'e545aecc18cfa501', 'fdbbfdb6c21f856f', 'e438117c5843e217', '6e25ea3aa9e34592', 'bcb253cbb83f358c', '364f3622e816caf2', 'a54c4e390105d712', '360b737aa68f8bf9']; context = [[26, 113], [73, 127], [10, 100], [15, 67], [0, 51], [185, 256], [8, 71], [120, 197], [1, 86], [144, 225], [26, 72], [41, 112], [3, 64], [1, 47], [22, 112], [37, 105]]; loss = 0.015372 low_pass_filter = 0.300
+Epoch 0: | | 29459/? [5:09:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29460; scene = ['c9aff096959107d9', '5b7c70d9fd79a963', 'e456fc623facc848', 'a576a801c7d2ff46', '71f80ab4e9cbf2f7', '0f710827f72bbd64', '4d09e3caa445622d', '3738d513d59db9ea', 'e77831c1b48a833a', 'a01b5396794511af', 'cffb80fc6fccc723', '51cb17f1485b2313', '1afd9e26d32bfdf6', 'fa807d5219d42f63', '12c58909fa039296', 'ca1852b4ee1cff4f']; context = [[18, 92], [15, 101], [185, 258], [18, 80], [48, 102], [14, 100], [2, 62], [67, 118], [42, 95], [19, 106], [48, 107], [42, 107], [25, 107], [17, 89], [8, 56], [21, 88]]; loss = 0.013296 low_pass_filter = 0.300
+Epoch 0: | | 29469/? [5:09:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 29470; scene = ['48617a7574be5d9f', 'e83729b641130714', '80fb3505008bcb5f', '67c71d67cd66dbc2', 'c8fc5e09878d465d', 'd4dd072c78e9f960', 'f967408af665942d', '93540f32961cf023', 'e24da62a15bd2109', 'fd0709b44a1b7aef', '5a33541a88681586', '88567449a04bdf82', '2263c3402becad0f', '0c199c575b699444', '86ca06e3d7be0bb8', '4a0b4e760a68697a']; context = [[13, 101], [7, 84], [1, 81], [41, 88], [129, 211], [90, 170], [53, 115], [10, 78], [35, 105], [31, 78], [1, 76], [24, 79], [29, 74], [110, 175], [66, 152], [5, 58]]; loss = 0.013277 low_pass_filter = 0.300
+Epoch 0: | | 29479/? [5:09:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 29480; scene = ['d2bb35c8d33ed564', 'ce11fac2d43ed83b', 'f42b9fd27850d7e1', '6e05907e3f19fd3c', '3a00bf0557f697bd', '6130665036744af4', '0928998054c51877', '71eaf6a42c20b54e', '69e01d9175c24145', '7a336718fb127af6', 'b963ab9d26b8da09', '53c0505255ce7322', '16fccc4a79f5d064', '8ce724e52ff6c826', '721e2ff6feff2137', '6e6fcfeacf855c0a']; context = [[31, 83], [10, 88], [13, 100], [132, 205], [7, 83], [46, 132], [64, 140], [63, 136], [84, 159], [0, 76], [17, 76], [7, 61], [26, 78], [50, 134], [2, 57], [160, 211]]; loss = 0.013710 low_pass_filter = 0.300
+Epoch 0: | | 29489/? [5:09:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.0train step 29490; scene = ['990231893b7eff6e', '35ca9463b81405e1', 'f0f62401af0e2e2f', 'f58e63b78cfc54cc', 'a1d3465ad97fb1db', '3d091f661f2b9fd3', '99a47f816620e8d5', '18f88993908bd910', '67f1d4b1e988d9d3', '4c477aa6361a0fde', '503c1ba7fd62e506', '5cd1f5bffe871272', '332f713c774753c5', 'af3fdd67523bddba', '75ad99f487478b9d', '42e996b4887ba52b']; context = [[35, 85], [5, 88], [193, 258], [0, 71], [0, 72], [130, 192], [44, 111], [89, 160], [56, 111], [47, 115], [34, 98], [0, 55], [199, 252], [21, 72], [126, 209], [7, 70]]; loss = 0.014336 low_pass_filter = 0.300
+Epoch 0: | | 29499/? [5:09:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29500; scene = ['9d8ca21d7984f76b', '216872700536bc0a', '6e53d59a04d16cd8', 'c9073667ec83abcb', '4b95a6a4485a9684', 'd34e6f770d5be502', '08683965a087e86a', '0fbbfe4c8f90f581', '8af56d1b49ff17d1', 'f7eaf62d4f3c6114', 'f3da07e1268f9829', 'cda05cdb67698027', 'a90eab41dddde44e', 'e032f2324ed2e451', '6feb5bcd09a060f4', '49f17d37416bde4b']; context = [[72, 154], [46, 125], [6, 64], [2, 89], [45, 106], [13, 74], [1, 58], [13, 77], [11, 67], [10, 84], [45, 110], [97, 180], [75, 137], [4, 49], [183, 272], [30, 78]]; loss = 0.014905 low_pass_filter = 0.300
+Epoch 0: | | 29509/? [5:09:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29510; scene = ['335f19bb2ded2e2c', '09f19ef0ae6b13df', '51e68a59b634cda9', 'ed1b5ffc37dc2a98', '257371b0aa1f6bba', '70cdd195c14be815', '8a279fd6d6bbd07f', 'd3a43202508f2f9c', '5e715a795e4a34dc', '36fac023a729f6ae', 'ce212bd6e751cb91', '1fa7b345af776191', 'c3914b367617df25', 'a8cfb2062202dee3', '91d197f925891f41', '06860e1d99ae9f1c']; context = [[5, 73], [99, 150], [12, 74], [142, 216], [8, 63], [23, 101], [2, 91], [7, 93], [26, 74], [55, 133], [49, 113], [25, 100], [2, 70], [20, 82], [58, 134], [7, 53]]; loss = 0.013778 low_pass_filter = 0.300
+Epoch 0: | | 29519/? [5:09:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 29520; scene = ['dc5718571f3ddba1', '06c175f6ee37879e', '5c9395533cb818c5', '2fd71c52854362b6', '0a5e96ad4f6c2778', 'bde3a7187db8eeac', '303f37c7b62f5795', '3b2d3975d43291c0', 'ba485a9a56926244', '58291bcf39ec8346', '48458995dd3a43e6', '56eb73a8e5f30e59', '1576466bebb4c410', 'd15f05d444df4144', 'bf8a73a9b01ba974', '8eb537dc07e5ae20']; context = [[55, 119], [6, 61], [13, 71], [6, 80], [0, 72], [9, 85], [73, 142], [12, 100], [16, 79], [89, 173], [1, 47], [13, 80], [15, 96], [1, 72], [36, 122], [178, 266]]; loss = 0.014359 low_pass_filter = 0.300
+Epoch 0: | | 29529/? [5:09:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 29530; scene = ['e5251115011169b1', '4b0b0606c0815dd0', '0ad311b66ea61e62', '99f3ea3ba624fb0a', '15a6506c1c89699a', 'b81b5b28aed15a63', '012ae7e6ae8eb7b1', '8c40e162a6c8015d', '53adc3b61850eaf2', '0a2b42e240751d33', '24539d9cb575945f', '59d290f1ca0b1a89', 'b7d77240852d6a52', 'a832d41d446631a5', 'cc68c11bf97c66c3', '1b65116c3c5c1368']; context = [[12, 58], [41, 99], [10, 62], [0, 65], [6, 58], [2, 78], [0, 89], [4, 49], [32, 80], [35, 83], [76, 138], [32, 118], [5, 70], [97, 177], [15, 60], [16, 88]]; loss = 0.013117 low_pass_filter = 0.300
+Epoch 0: | | 29539/? [5:09:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 29540; scene = ['45ad2a7cd8228580', '209e580d90d4644c', '18e36552c4bd047e', '2285965899520b4d', 'f5a9f0d1b2bcf821', 'd2fe9517cb9179f9', '9baf7af601a97b2d', '87e226c85ecc330e', '2463d599a3a85278', '0b8615515af26142', '3184a8586eb9d26a', '9c7d2b15b61d403a', '4ab606710f06af0b', '1c68ef09c2a2adf6', '3665af07357cf4fc', 'c377a8133c5e7a82']; context = [[109, 162], [123, 188], [1, 57], [178, 247], [51, 134], [4, 84], [57, 137], [0, 45], [25, 70], [7, 54], [85, 149], [4, 69], [172, 224], [10, 55], [0, 64], [4, 77]]; loss = 0.011147 low_pass_filter = 0.300
+Epoch 0: | | 29549/? [5:09:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 29550; scene = ['27f9f6d38c7e8e4a', '00cfaaa4ba7a16b2', '1a5a8ce59f4c2e5b', '663a49cac3d334f6', '86db5362c760a2a6', '7c9634a43560b70f', 'f377fc09af0370f3', 'ce1ba9200d3b5f9d', 'ad2af8c9cb425ed9', '1bb12c2db06bec2c', 'aec9839d095186a5', '972a25f3583e57f0', 'ce68b2802d6819ee', '15697c301505297f', 'c4681c8af6d65f1b', '39c04c73d4bd21dc']; context = [[0, 54], [35, 81], [3, 50], [125, 188], [7, 54], [18, 92], [97, 156], [45, 126], [49, 134], [8, 89], [11, 84], [23, 82], [3, 73], [54, 101], [157, 228], [6, 65]]; loss = 0.013210 low_pass_filter = 0.300
+Epoch 0: | | 29559/? [5:10:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 29560; scene = ['32b351130816f54b', '9d88aa143fcd52c6', 'cca6d62cb8ddc4e4', '55b6f9d7fd7b048f', '6584d26cd17e774e', '784d25b1c8496d7d', 'ba2d21290ad804a6', '468d05fe9cae4c74', '090cd7d740571c1e', '12187d763ed3bcf3', '44033cb44fc70e62', '094ca683d34255bb', '7389ef67e7f6db6f', '7867824cbb124768', '442dca0c4ab9c0bd', 'ec3b6eca01fa6fe3']; context = [[0, 58], [73, 119], [51, 114], [28, 87], [25, 114], [45, 109], [46, 95], [38, 104], [1, 72], [16, 81], [83, 158], [77, 123], [1, 69], [73, 127], [23, 102], [29, 98]]; loss = 0.012849 low_pass_filter = 0.300
+Epoch 0: | | 29569/? [5:10:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 29570; scene = ['0a1e750a4a0d5a2e', 'eca1e97782041b82', 'a80189fe08a0edd6', 'fbdb2585231bcee9', '73c9d799b50a6ab1', '599229267f8aecef', '2d41459c943e1f71', 'f471c754cab8aa43', 'fafd9e0fbb9517b8', '4d9d95d4a2eda32c', '7c57600e31e85604', 'eddccfb13a700e19', 'e1482b28c9b48ef8', '65a63431656a0df8', '4d7043c0745a3730', 'bca70d979a3bda33']; context = [[20, 81], [8, 55], [1, 81], [55, 119], [1, 62], [30, 115], [20, 66], [1, 68], [97, 184], [54, 137], [31, 93], [32, 116], [4, 90], [0, 76], [1, 49], [6, 71]]; loss = 0.013730 low_pass_filter = 0.300
+Epoch 0: | | 29579/? [5:10:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 29580; scene = ['0851195c7e1b51fb', '0a3e53b4a9599727', '4f5ef62b501615d3', '399d4c691a973f9c', '6da93982840c7f27', '17975ff871886fcc', 'ef685fbdf3e576a7', '82b22a784b4af245', '2c71433516d2e8dd', '9be3165beb073d95', 'f59f1231a6194510', 'd7841a1644022525', '59f9c9b55158d47d', 'a781aa9c808d47aa', '13e0eb10aa5c845a', '98fe65e85f1a7b05']; context = [[20, 75], [9, 55], [1, 47], [3, 86], [161, 222], [18, 108], [44, 127], [69, 149], [120, 196], [20, 87], [10, 83], [15, 67], [49, 119], [24, 103], [1, 63], [29, 78]]; loss = 0.012655 low_pass_filter = 0.300
+Epoch 0: | | 29589/? [5:10:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 29590; scene = ['c02abc6f11678b26', '7951d4e068da5808', '0396f554c1dfff76', 'fbf253fca4a29e87', 'e0f2adb45811eca4', 'f38c5ec3bf386a89', '0099afa1d37142f4', '758770f2884e9a79', '879178cfcd91fa71', '2dc02dcd60cd893f', 'a5b7cbe82d53f7b2', '301a38f13db800df', '21e93803e217a7f0', '56a636deccdb09f3', 'f863800d0b6b0c63', 'ee6dc6861a1bbd73']; context = [[1, 52], [69, 127], [12, 89], [58, 132], [2, 84], [20, 74], [6, 68], [4, 79], [115, 171], [131, 220], [5, 70], [12, 93], [25, 102], [62, 152], [52, 117], [0, 45]]; loss = 0.017306 low_pass_filter = 0.300
+Epoch 0: | | 29599/? [5:10:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 29600; scene = ['ca342b60ac94b65e', '94418a5db600cc33', '38c220ff58e572ac', '200afae0928a1372', '83ab839d8677c959', '0cc6a78a866dbbe2', 'c5efe399fc5b5484', '17e26092b16e2f53', '93677620c60531d6', '829edc41b1f3753e', '02f5bb43339068c5', 'd4e60c7364b2a678', '2afa9fb38e8ed969', 'e153215f9411fd3a', 'dc52eef1ceb52ed4', 'b01466523e734f6b']; context = [[183, 265], [1, 53], [9, 89], [31, 104], [4, 76], [14, 93], [23, 101], [29, 108], [2, 48], [42, 102], [19, 101], [12, 60], [3, 91], [3, 77], [28, 114], [11, 85]]; loss = 0.012152 low_pass_filter = 0.300
+Epoch 0: | | 29609/? [5:10:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 29610; scene = ['6db41a1d85fbeba8', '66560d7c3863744e', '78dbc8c7b542378d', '1355b7884090c3d0', '8a287cd8d977e84a', 'c10b4020a9263a81', '2a32ff1118f52fb7', 'c3e699494a58052c', 'ad66977725bc0401', '1ff7f4b8ac696e34', 'd4dccd059e74d18e', '94751d76c97a7d69', '1a792e938e678905', '26a7190fce68539a', '22d2a59f9448e245', '7f6fc86af3083f99']; context = [[89, 170], [76, 140], [16, 79], [103, 148], [102, 153], [74, 150], [68, 122], [159, 231], [0, 63], [7, 68], [113, 183], [76, 153], [0, 66], [11, 72], [71, 140], [47, 119]]; loss = 0.015611 low_pass_filter = 0.300
+Epoch 0: | | 29619/? [5:10:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 29620; scene = ['00513a2e0e404c0e', '67c64784fd756078', 'e077b75251d4c564', '39336763f0c7e640', '02ff8fdb53266725', 'db55df0601ccac9c', 'c1db91b9d4c83bf8', 'ea6083f964b9cfff', 'a1c3c6a3a26b83fd', '7787499fa8f6ae16', '0e320b46c75c20c8', 'c92fb8581dd241e4', 'a557eb3b4761195f', '92e8d8ff5ffd7c72', '111e7de0e422b16f', 'a600ca6d66d0a794']; context = [[163, 220], [52, 139], [123, 170], [9, 66], [13, 70], [115, 172], [101, 191], [71, 143], [32, 103], [118, 184], [26, 102], [1, 64], [1, 68], [21, 82], [0, 83], [30, 113]]; loss = 0.015133 low_pass_filter = 0.300
+Epoch 0: | | 29629/? [5:10:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 29630; scene = ['85e7bd689f02a846', 'a0e7aebb7c93f9b9', '8f0f4e93618b5921', '00a907a68edf05c7', '437c8f3d17f24018', 'd936dd442514c73f', '25cc0fc657ec68dc', 'd6dba7b939bd71e6', '6223b736736550fb', '7c6e11f01c36ad07', '19f106c5f56ad5e5', '7630cb2752ecf0a1', '6712459dd798fb34', 'e12f8fd924b2ff2d', '25ec2f2b3a0d6128', '5ff238d3fbe7ea4f']; context = [[6, 77], [26, 88], [42, 110], [0, 45], [0, 79], [27, 73], [14, 80], [7, 69], [33, 83], [7, 92], [12, 71], [14, 84], [1, 65], [26, 101], [0, 48], [89, 163]]; loss = 0.015030 low_pass_filter = 0.300
+Epoch 0: | | 29639/? [5:10:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 29640; scene = ['b77f9ae64dfbb8a3', 'b68241a4ef2809bc', '52ee29e2ce0a132f', 'b988c3ed7749b74e', '92cc64bcd4dea062', '170da7aee449ff7b', '0f948e341c3124cd', '7de0b83bf88c7e65', '0159a74d57a1b2e6', 'd8dee462911b5e6a', '5859904aed1bfa09', 'a8b050efa6c8b67e', '591b7fef7e40aed8', '702b39a8cd04ade6', 'ebbb77419914acf1', 'e1df53064b4345d8']; context = [[13, 91], [29, 110], [61, 128], [183, 238], [44, 134], [6, 55], [12, 86], [141, 221], [53, 139], [4, 73], [17, 77], [83, 144], [15, 66], [102, 148], [25, 95], [72, 127]]; loss = 0.013047 low_pass_filter = 0.300
+Epoch 0: | | 29649/? [5:11:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 29650; scene = ['17a3b2973ac260d8', '98ef68c4851639ba', '1e2602930aba2625', 'a5958226d3c882ae', 'e23b1573b9c59b53', '399cafe233afe35b', '5fd2c3f026ad348e', '0e31843ccbe9288f', 'a318efa4108b5cfb', '55501a15e845b68f', '0c58f684b5a589e2', '070de38b8e08aa51', '1818de658a8726f3', '92b172ef32af49ee', '57dc85446fc5e73e', '307c55785d4f1131']; context = [[59, 136], [31, 83], [8, 71], [16, 102], [9, 59], [8, 77], [37, 107], [72, 120], [84, 134], [29, 75], [64, 126], [53, 130], [1, 69], [21, 99], [10, 87], [11, 71]]; loss = 0.017080 low_pass_filter = 0.300
+Epoch 0: | | 29659/? [5:11:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 29660; scene = ['303f37c7b62f5795', 'e6ebaea853d7c5da', 'c331d2d0a77cf732', '56eb73a8e5f30e59', '2fd71c52854362b6', '5c9395533cb818c5', '0a5e96ad4f6c2778', 'ba485a9a56926244', 'bde3a7187db8eeac', '1576466bebb4c410', 'dc5718571f3ddba1', '264f446f62eacdb7', '48458995dd3a43e6', '58291bcf39ec8346', '06c175f6ee37879e', '94d46e2462293544']; context = [[118, 201], [7, 83], [18, 94], [65, 137], [75, 149], [2, 77], [10, 63], [11, 76], [16, 62], [20, 94], [79, 152], [17, 105], [0, 45], [21, 78], [18, 94], [5, 60]]; loss = 0.013271 low_pass_filter = 0.300
+Epoch 0: | | 29669/? [5:11:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 29670; scene = ['679b7dc05ee84aba', '75f1d377c1587752', '7d24cbb8156629fc', '28eaee7735884df4', 'ccca5bcbc1202038', '83779fad9d14971e', 'd503dba5ffabf771', 'bf8ad1259257dc45', 'f545152700b96263', '6c0ef012029b30f2', '0edd08d42e5a2f9f', 'd88fa63cc32b7683', 'c2c61e3082375bd8', '32dc706b5277e8a4', 'aae62c9143d59bf0', '331ef24c06150099']; context = [[144, 205], [55, 125], [192, 241], [26, 112], [5, 64], [13, 70], [14, 93], [10, 57], [0, 45], [69, 135], [109, 158], [24, 101], [116, 178], [12, 68], [77, 142], [161, 227]]; loss = 0.018373 low_pass_filter = 0.300
+Epoch 0: | | 29679/? [5:11:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 29680; scene = ['8682ce2849525c5f', '911dbf3814ab3ba6', '7b9139fa3b4c253d', '7d9a1d4a7a201031', 'f988aeee5b8242e0', '98301071b17a7500', '076ece5ecc3b427d', '9642b9994519d68b', '07851201173ee685', '21568a19429c093d', '493310c4f0982cee', 'cedc2ca16f1218f0', 'c1fbe55634c0aa7b', 'd530355fa74f9cd2', 'c5638d0a34f85020', '4bdef6c0c3e06ae5']; context = [[0, 57], [2, 66], [27, 99], [136, 184], [35, 117], [132, 188], [108, 157], [1, 49], [2, 64], [0, 71], [26, 96], [36, 92], [11, 66], [35, 81], [78, 125], [77, 124]]; loss = 0.011986 low_pass_filter = 0.300
+Epoch 0: | | 29689/? [5:11:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 29690; scene = ['74f6b07a25464bc7', '6515e94139622d0d', 'fbb8d6b9408a13c0', '8eb7a95a27a7e436', 'd4892209f4d03868', '041995839164ee42', 'f418bd0b0734b3ba', '375b7b6881284d9c', '7b6802baf4779efc', 'e4554693e881d6be', '13e9968df59dd316', 'b9af4d213b624caa', '67cdb94d2911494e', 'b30ffcaff8599d24', 'b45542de72df7a49', '70f118b2c78f945e']; context = [[0, 80], [7, 52], [61, 119], [38, 127], [86, 172], [12, 73], [1, 55], [2, 69], [10, 57], [8, 79], [85, 134], [17, 72], [17, 64], [62, 151], [36, 88], [13, 86]]; loss = 0.014096 low_pass_filter = 0.300
+Epoch 0: | | 29699/? [5:11:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 29700; scene = ['56b9fc4f422e8019', 'f303ff84d6fa0ad1', 'f8f84ee8a0e4a867', 'f3e8f051874ddd92', 'eb630841cdb3a850', 'bebf0fdfe16b9e85', '0e3c2218affc73d5', '5b8f2b2fad8a45bb', '68374bd8e0215d87', 'ddeb25acf3565321', '585fcc880c5e41dc', '7f8baad045c5ca63', '6338d0d353046ec1', '1ecea537488c80e3', 'd281c87258201ca6', 'a20b0fedac9e0cfb']; context = [[37, 114], [131, 196], [90, 152], [113, 180], [5, 68], [1, 85], [99, 173], [28, 117], [4, 86], [8, 57], [28, 73], [10, 76], [124, 179], [32, 84], [157, 214], [14, 101]]; loss = 0.012729 low_pass_filter = 0.300
+Epoch 0: | | 29709/? [5:11:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 29710; scene = ['3fdf37b65b6ee929', '627dd68bba96dc29', '434513e16360b2fb', '8d9d9076520ec7cf', '38637ae49c3f6cc7', '2cd3e467ec6d0597', '774963f6ba3f710e', '71c45562c10fd450', '385b3e56d34a25e4', '098deaac834d2397', '1eb1862df01609f2', '202de340484698f6', 'c9ec57b7bf85a0e8', '24dc1ce125c61981', '2345c1b970fc7ed4', '50efd0e453568e13']; context = [[2, 54], [27, 85], [6, 89], [31, 101], [129, 183], [77, 125], [101, 154], [13, 61], [145, 196], [21, 74], [42, 95], [2, 87], [64, 111], [0, 65], [3, 55], [44, 101]]; loss = 0.012127 low_pass_filter = 0.300
+Epoch 0: | | 29719/? [5:11:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 29720; scene = ['099322efbdb10860', '883e140a4e364095', 'a96db9876e0adb51', '07407b5a06eaf52d', '3fac4ee519acab64', '52af2157aae6b6de', '70b378b1c3ad3829', '0ca70686912ebe5d', 'f024a38fc8e4ec74', 'e32356ddcfb80246', '4c6ca52094c027d7', 'c66aaa5ea5543880', 'ba299e06f2eb6d9b', 'e9409f501f1b6346', 'c4005922f59686ae', '64fa28b2416a6a38']; context = [[1, 70], [4, 57], [29, 115], [2, 57], [54, 117], [95, 148], [38, 104], [13, 89], [71, 151], [56, 142], [88, 172], [39, 86], [5, 61], [19, 89], [31, 104], [4, 66]]; loss = 0.013591 low_pass_filter = 0.300
+Epoch 0: | | 29729/? [5:11:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 29730; scene = ['e1f3e3802c9359e0', 'bc40dbe2f1331028', 'c41082400deaab80', '0dd90b85c14d14dc', '771811339194e54f', '08f3bdfcb2b56aa8', 'a7d76787b66816fb', '179663d4fb3f813b', '961b11f2b491d414', 'cbb3ec1745f4d00a', '6e47f42627792c8a', 'dcf60d34db38b4b4', 'd565fc32dd895b3f', 'ec1502cece27edc5', 'baa6ed84d503d812', '6ed54c7ab641b518']; context = [[0, 63], [0, 81], [3, 70], [46, 101], [85, 154], [8, 76], [7, 69], [36, 102], [16, 101], [12, 82], [41, 96], [38, 111], [55, 120], [17, 66], [40, 117], [10, 81]]; loss = 0.013434 low_pass_filter = 0.300
+Epoch 0: | | 29739/? [5:11:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 29740; scene = ['3c3b89dd371b0d05', '022dcc77d485117a', '72ec25fb48f08d76', '235eaad47ef70bec', 'aae4f7cf0484ecf4', '0dfc17fb05d37999', 'a80f041ba46868b2', '45640ebc88e55a99', '2e25e9e465061299', 'b7a4d8bb62482f41', 'cc3b2bb760ce5ade', 'bd17df2a73c9610c', '9995ebd239715b8e', 'eebbabe770803962', '97be57ad8c57e50e', '053632df7098b8b6']; context = [[16, 91], [120, 196], [26, 99], [2, 90], [110, 155], [0, 87], [100, 176], [15, 65], [44, 121], [130, 182], [6, 57], [129, 191], [10, 100], [4, 69], [176, 255], [31, 87]]; loss = 0.019252 low_pass_filter = 0.300
+Epoch 0: | | 29749/? [5:12:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 29750; scene = ['23630214eee70195', '75793ec1ebb5f4f0', 'a1de94218a808592', '3f6f33974d5ad2aa', '8894baba5232b9e4', 'f6e8af9548e8bae6', '9e9a957516c0d75c', 'ece38763f3341f27', 'e3d77fe063b6c0ab', '8b9464ff35895e7a', 'fea1563243b60527', 'fdf4a5de2ae092dd', '266ae731dcd710d2', '20560c2074161402', '14e67b1d5d58448a', '3bf7ec8cabfb9a14']; context = [[7, 72], [22, 76], [11, 79], [17, 79], [15, 71], [18, 99], [12, 78], [3, 55], [71, 122], [22, 72], [67, 136], [1, 63], [88, 141], [8, 76], [18, 69], [11, 64]]; loss = 0.013107 low_pass_filter = 0.300
+Epoch 0: | | 29759/? [5:12:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 29760; scene = ['1b2e793d39caec3f', '9244ece752e135b3', '06e9f26b5f803220', '072ace91e2fef373', '69029690713e2555', '25dd017c409dc6ff', '9af39f3dadb1471e', '5a38b8d664c399f4', '270ec2d099edfccd', 'dca0f0eacbccd9c8', '2c8e2b99b8d5b036', 'bd8657935f536dd1', '58862a8fe2c91894', '767c62f619b15386', 'bc7cc2b25b604fce', '6a98a5412a5aee02']; context = [[26, 82], [33, 98], [145, 214], [38, 91], [73, 132], [91, 139], [12, 65], [7, 56], [184, 253], [13, 60], [3, 84], [21, 69], [1, 60], [12, 84], [4, 69], [0, 59]]; loss = 0.013479 low_pass_filter = 0.300
+Epoch 0: | | 29769/? [5:12:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29770; scene = ['f7f53a9d54d4098f', '6d55c2c63ca27b57', '1c574a0a214c7b60', 'df3ab587bd731a9a', 'c6b4ee182a0c8f70', '28edd0fc4cc7a93e', 'f873485ea901f0aa', 'd466f84e957e9c2d', '0349f032659258fb', '95048db5a3481d4b', '118c225404e57623', '76085f8dc1114a69', '501e26fc69d6e696', '46b507d43623b833', '3858315424914e69', 'eeb7631e80d9b57f']; context = [[2, 68], [1, 87], [6, 83], [89, 151], [23, 98], [0, 72], [7, 64], [3, 72], [182, 252], [36, 90], [5, 54], [202, 251], [3, 86], [5, 74], [132, 206], [21, 98]]; loss = 0.015324 low_pass_filter = 0.300
+Epoch 0: | | 29779/? [5:12:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 29780; scene = ['c953d129166956cf', 'fc8e5038180d1870', '32594792c3f9361f', '242016b24b4251a6', 'c470e82acd641c32', '2c818e06fab2adb1', '5228c2104f8fae53', 'b407aff58d0b2042', 'b3c9ebc907ec6e04', '3dbb2c1bc521b62e', '550898fbe362b272', '3eadb758df91389b', 'c5b7258e5a3d9896', 'e43f122db47a227c', 'e897826c02fc4e95', '047b29485a1bbf20']; context = [[20, 87], [22, 102], [21, 100], [72, 129], [15, 74], [4, 61], [140, 196], [61, 132], [155, 211], [37, 93], [4, 69], [18, 85], [162, 246], [22, 70], [70, 123], [122, 207]]; loss = 0.017433 low_pass_filter = 0.300
+Epoch 0: | | 29789/? [5:12:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 29790; scene = ['c34615708e279d5d', '20ad83735211af29', '6debed4d7cd27d67', '8fdcfbd54930698a', 'b86c63e9eeb2f0f3', '2fd89a78a9fd9404', 'eb4ff89ed0b56b2c', '26fa353d54a3f093', '3223b6f6751310f8', '66763e1f9feda3a1', '253d5e74a15c73e4', '3954a34db791a545', '76b8f8f5934a4cee', '8e2f5c494adf36bf', 'ff6d8a229199dbec', '400376ce3228c125']; context = [[0, 85], [20, 71], [58, 137], [128, 184], [16, 68], [2, 91], [65, 149], [31, 78], [11, 70], [39, 85], [2, 83], [12, 84], [34, 93], [12, 86], [11, 71], [9, 79]]; loss = 0.013664 low_pass_filter = 0.300
+Epoch 0: | | 29799/? [5:12:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 29800; scene = ['48eb62d05fc8104c', '079f05d5a14d5034', '38b78311ed6b92e2', '47c676b06a3833ab', '39efe3569042d482', '1c32325abe22ac6f', '2b5e6d0ebc0b794d', 'c7329bdb7df9f49e', 'e310d39b3b13542e', '8897ca4aaa904a14', '12e15379b5d12957', '763527b7ef5f0329', '98a1924100186241', 'f47ce554c1100cc0', 'e83f2a56d8c098e2', 'd426c64fa2b71ff8']; context = [[5, 87], [149, 226], [180, 256], [71, 147], [22, 80], [54, 106], [26, 100], [25, 79], [0, 54], [4, 82], [6, 56], [3, 89], [146, 221], [112, 159], [0, 61], [4, 70]]; loss = 0.011042 low_pass_filter = 0.300
+Epoch 0: | | 29809/? [5:12:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 29810; scene = ['6030f480148fe616', '2b5ee9f95a7b2952', '1fb84b400b0eeffe', 'f5864b8687706513', 'f5389cf7168ab81c', '4b081e386dc80130', 'f6a6729072b2b2d1', 'feb823568eb80267', 'fa3db8ff73725afb', 'c1ac66bd67982f21', 'e6838327fd08a47b', '60d04d6859c70783', 'c44b05bc3683cf18', '32289f1d83aebd72', '65e60d47a67b0229', 'daf89a643d8b2f5b']; context = [[38, 115], [5, 69], [1, 47], [31, 111], [55, 101], [59, 111], [48, 102], [29, 118], [117, 182], [39, 129], [159, 218], [37, 117], [103, 184], [89, 150], [25, 108], [1, 54]]; loss = 0.012722 low_pass_filter = 0.300
+Epoch 0: | | 29819/? [5:12:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 29820; scene = ['ef43009a9fda5f70', 'c08cb8bf8e5c5f16', '00761c6dcec91853', '872c7890f41508b4', '1260699ecb39ea13', 'f74bf752047c4a71', 'deaa81a6b3573224', '881f4e6f9198afcf', '70076cec70524e8b', 'a2b310636a3c8cd4', '9f2953eb6ba40d02', 'b9aaf2719970d409', '29c266ed5d1dd889', '3b5d67521155f9cb', 'f22bffdad4d6241c', '67d5829158318fb3']; context = [[58, 115], [2, 49], [87, 153], [22, 73], [10, 75], [6, 74], [21, 77], [38, 115], [0, 80], [2, 76], [9, 65], [121, 205], [139, 211], [39, 101], [1, 49], [3, 80]]; loss = 0.013409 low_pass_filter = 0.300
+Epoch 0: | | 29829/? [5:12:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 29830; scene = ['430600db2776f1bc', 'df39d149942d8c54', 'a258a2c2f0d56edc', '21106074ff90bce6', '8a7be9a038e8fdf2', 'e320d1ec0852ea21', '21d5b2ebb33325f9', '61c00c4dbdaf9dff', '31521dbd60543734', '52e1d2c5a0760c4f', '280097fe1b9f13d3', '0b5244526eeddfb1', 'abce0c969400a3f5', '06f61ede00177bca', 'da1bd2c7d65aa44f', '36efb3a7d284b30d']; context = [[144, 202], [1, 51], [40, 113], [29, 98], [111, 162], [4, 75], [51, 134], [13, 64], [14, 68], [31, 92], [17, 64], [0, 48], [18, 76], [186, 275], [15, 62], [87, 167]]; loss = 0.015409 low_pass_filter = 0.300
+Epoch 0: | | 29839/? [5:12:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 29840; scene = ['3abc649dc7186af2', 'd060f1ba4d2a73fa', 'c85847819c2d64d0', 'c957756daa41c990', 'f45f2ed11aa8a46b', '4f1637bea9f78862', '4aa49e7067a0b7f1', '8465adbee68fc990', 'cdd44aaa218af50f', 'db82f36b5dbc0f0f', '2bda64489943db2d', 'd00bf9c20463c925', '9385417613453951', 'a325c0cc4fb65e6b', '3dbb1d21f0d5f6cc', 'd765975fd4b393d3']; context = [[9, 68], [140, 215], [17, 77], [13, 77], [14, 77], [40, 127], [4, 82], [27, 73], [196, 269], [31, 88], [1, 66], [21, 107], [0, 87], [5, 66], [96, 168], [13, 63]]; loss = 0.012160 low_pass_filter = 0.300
+Epoch 0: | | 29849/? [5:13:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 29850; scene = ['ccfb0dfd6611337a', 'f884bf6ffaca45c8', 'c6c328242b50ef3e', 'e85e9ca51c4df1b3', '25604d48a185be0c', 'd15194c473c5f537', 'fbc81cf7f2257dc7', '41c244d2220305cc', '5b52ca5def21e510', '38843476b90d06fe', 'c3858f544a9d90df', 'b3656beda36e21c6', '7f437dc9fea6612d', '6f6798d8975dd372', 'c98a8f34da829645', '84b82a9506bd8483']; context = [[15, 101], [4, 86], [65, 126], [82, 166], [2, 80], [0, 69], [77, 160], [58, 106], [7, 76], [10, 63], [44, 110], [14, 95], [91, 172], [57, 111], [1, 50], [97, 166]]; loss = 0.012658 low_pass_filter = 0.300
+Epoch 0: | | 29859/? [5:13:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 29860; scene = ['05c99e2ea92b8896', '1e9311bf323b59b6', '30ba32c31521175d', '7c966a0b88e1d331', '83f9feb3fbd8b37d', 'b5b77d5fb33aadf9', '6da69e059ba7030b', 'fb82c586a77e9d12', '2f38e23c9af5b565', 'fd752f8c7d7c9d49', '0d838f304da2d721', '816ab726dadb8795', 'a2fb92cb976a8506', '651e203d4e42216f', '43544bc50a0d09ee', '14a700b34bfafc6f']; context = [[107, 178], [5, 78], [79, 126], [134, 188], [128, 173], [43, 123], [191, 271], [6, 72], [17, 107], [12, 62], [63, 140], [150, 201], [97, 179], [7, 90], [130, 208], [43, 95]]; loss = 0.019952 low_pass_filter = 0.300
+Epoch 0: | | 29869/? [5:13:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29870; scene = ['65c4fbae3daf2d8e', 'd737a4d00ba9eb96', '03f414ba778a0d1f', '6a15ba68d651fe15', 'aad75ba6e6c3304d', '1a6bd947d15b57fa', '245351b1b14b6bb9', 'e41a92954c7e94eb', '28c643e2cd91f465', 'e6f956faeeda3603', '0446f3522cce8104', '0ebfc63e0dbcb1e6', '2bb62d9b59e51b1b', '2ef7707bb9e354e0', '8467aaa6db783cbc', '90eb0b4f9eaca4b4']; context = [[4, 85], [67, 117], [2, 66], [40, 115], [35, 97], [38, 125], [9, 68], [74, 131], [7, 68], [53, 110], [4, 56], [76, 140], [81, 128], [2, 62], [54, 110], [49, 99]]; loss = 0.011766 low_pass_filter = 0.300
+Epoch 0: | | 29879/? [5:13:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 29880; scene = ['e254872b0209e455', '4a48d55a5d4d2f08', '123f7a83114427ea', '46f13edc12ac2310', 'ff4fd16242296664', '49d738ab620034b4', '0c634c6d52ac7ad4', 'aaab8d1b5ab123a3', '1e87f5d20a230ae3', '97caecafbfa7f1f6', 'c63b37ec347f0d0e', '4993c13bd0a11f24', 'b84cce034b55e1e4', '175e1611df44964f', '265941bdd185f866', '52cf0ad63b78dd22']; context = [[22, 67], [111, 192], [19, 74], [71, 131], [196, 272], [1, 53], [6, 86], [49, 100], [3, 63], [3, 90], [18, 100], [10, 69], [8, 76], [229, 276], [81, 127], [17, 95]]; loss = 0.011888 low_pass_filter = 0.300
+Epoch 0: | | 29889/? [5:13:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 29890; scene = ['66651ce826413157', '7a9969e9cb92a6bb', '828accb4b1fb1269', 'fa5188362d1e5803', '4dab8fa0458a0973', 'be2a04460ffe2cfe', '62edb0f473c3f488', '942fb7ec7e1cee67', '0e41295e7b9c3125', '97627b069fc7f964', '4c9341365e9610e7', 'a1ff20ce7d7d5e11', 'a96263b1bc7ab549', '0e07cc5fd39081f0', 'ff7181eb38589239', 'ea52b783452118d3']; context = [[18, 105], [13, 90], [0, 74], [8, 63], [13, 100], [74, 140], [19, 69], [6, 84], [71, 125], [129, 180], [103, 166], [17, 102], [105, 172], [215, 263], [30, 110], [68, 142]]; loss = 0.011552 low_pass_filter = 0.300
+Epoch 0: | | 29899/? [5:13:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 29900; scene = ['510748ec459730d6', '7b0443eefd68756f', '48def91eaf244778', '434ba7d85520e320', '883b1ce6f044e128', 'bb3c1034f81f14b3', 'ac09e72e448e7aa0', 'b0d6c95a685f7b28', '91344d06d99a6dcf', '919d386ed136a08a', 'cef7f461f9eab602', '964c9aca14b67e98', '3cd467a1ee44b2cd', 'cd2bd9f19bed30cb', 'dc1576c8f654e136', '31260dcd8308ca5c']; context = [[94, 144], [12, 96], [6, 58], [144, 191], [25, 103], [103, 151], [125, 211], [11, 93], [3, 62], [6, 61], [18, 105], [39, 104], [57, 120], [61, 123], [0, 46], [2, 77]]; loss = 0.015967 low_pass_filter = 0.300
+Epoch 0: | | 29909/? [5:13:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 29910; scene = ['1b360f608911728c', '5bd9544874f6e593', '2b1617be8567c1a1', '17ae22f56ac9d642', 'c08a5ec56e05c975', '6c7379b0be88feb0', 'c40e72607ddae9c5', '631caf62e5167b66', 'cc2ee5b080780c5e', 'd0d549b00c25ee58', 'c099cc1334a00915', 'adde543e98ec0342', '6a59f79465e1878c', 'eb2eb80d5f536ab4', '7a82d470ad5d5855', '93f6c9634e5ad304']; context = [[11, 57], [70, 129], [28, 87], [14, 74], [33, 87], [149, 238], [40, 87], [105, 187], [9, 89], [1, 53], [8, 66], [19, 84], [13, 62], [8, 60], [51, 120], [4, 67]]; loss = 0.012742 low_pass_filter = 0.300
+Epoch 0: | | 29919/? [5:13:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 29920; scene = ['befde20b572df41f', '3bce7d9013d5b009', 'aad0b5079f1ae97b', '8a18426268680e8b', '8ef0da3c9de40839', '859bb0d976d968c4', '84348853c9413627', '647c92e70b37c9c7', 'fd840aefa49b09d3', '424e64ba64d8fd42', '9776b8ac431275ab', 'cb25459349f37a83', '13f1750202277c01', '74001972901b7a03', '2d0f0343858859ee', '31bdd3ef9c2cb639']; context = [[16, 77], [2, 47], [4, 65], [179, 250], [5, 68], [20, 90], [36, 103], [32, 79], [20, 90], [45, 113], [194, 242], [102, 148], [17, 79], [22, 70], [171, 254], [28, 98]]; loss = 0.014384 low_pass_filter = 0.300
+Epoch 0: | | 29929/? [5:13:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 29930; scene = ['095b4e72172b57b0', '058fc0d297e79ae5', '383b8b2cf304af9d', '0c6c060f599465ed', 'ecca95a8f3f27f03', '82b5bc359a8354c0', '298c3bccb02eb533', '559098dc531fd67a', 'defb760749fe090a', 'fcb5cfafb60da017', '214a03d653fa74ef', 'bad8106cf944eef6', 'a68f18856bc55ecc', '3ca78fb427a01e89', '65b9540faf40b6b9', '95a8ec31dc3225b3']; context = [[173, 245], [25, 72], [6, 69], [95, 157], [2, 71], [42, 114], [100, 175], [4, 54], [44, 122], [55, 141], [146, 228], [34, 114], [21, 71], [64, 116], [22, 100], [4, 54]]; loss = 0.014376 low_pass_filter = 0.300
+Epoch 0: | | 29939/? [5:14:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 29940; scene = ['1f448be55dacae22', '5ed76274f5543cfc', '84e504fd32f299e8', '35e10408a07458fc', '09454319bbff60b8', '4b91e3d10a227be5', '48dd5e8585754cb0', 'd338fa414b68aae0', 'fc2c9e74972a3112', '98ba95076aba067f', '9faadb16d7bfd2e5', '471bc6a9d1ae95b7', 'e3b19a6c20b4a482', '5ab86589e42f197b', 'd4ce3ba462949704', 'a8db60854434ac92']; context = [[99, 181], [24, 74], [17, 77], [11, 83], [6, 56], [212, 265], [2, 75], [18, 101], [25, 82], [47, 96], [1, 53], [37, 104], [0, 46], [0, 54], [28, 92], [17, 68]]; loss = 0.013708 low_pass_filter = 0.300
+Epoch 0: | | 29949/? [5:14:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 29950; scene = ['899bb046dda0763d', '114d80bc715a44cd', '0e88e1c2acec6616', '318ef3fc4a78eb62', 'e1176be7786367b4', 'd738990227f432f6', '50204e987e3dc510', 'f38f2a4d40b7c590', 'aec2f2ec71fdc2ad', 'f613a9e89ae730c0', 'd44c8063e3cf6035', 'b5af5097b8dcc2ad', '7fed8c3dae1c5e78', '9668707d6167a299', '869ab3af4fd90d3f', '6e0ef4cc3bfcac11']; context = [[38, 101], [167, 212], [7, 54], [51, 105], [38, 109], [36, 89], [15, 99], [51, 97], [34, 98], [31, 113], [94, 155], [48, 97], [10, 61], [76, 156], [0, 72], [135, 186]]; loss = 0.013061 low_pass_filter = 0.300
+Epoch 0: | | 29959/? [5:14:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 29960; scene = ['5b28749eb4d7de82', '01e6070d4ba4b31f', 'befe38a3528534de', '7ea638aec22bec97', '76e8408579a8def3', '8006cf47aa5e25c5', '03bda04a27d82a5b', 'fe4fa50ac12f51b0', 'c33fe2d3b7986ed6', '591d4ef1fe3a9c81', 'b953a6e9c693493a', '350adec15cc186cc', '8d9d6d9fa213b895', '97c8e6562064bede', '9472e0c8a62e30d1', '647839cbca8db12f']; context = [[13, 102], [27, 72], [36, 82], [120, 167], [59, 145], [32, 103], [63, 143], [5, 72], [11, 87], [10, 89], [106, 176], [0, 49], [7, 74], [14, 103], [54, 107], [21, 74]]; loss = 0.015839 low_pass_filter = 0.300
+Epoch 0: | | 29969/? [5:14:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 29970; scene = ['63fa54e068bf95ff', 'a5989d5f9f66c05e', 'e724e954dca8ada8', 'a1d3f2e765955d2d', '08995d12c844a39e', 'e0ca570de3d5244f', '8386e000058b5adc', 'a677f7099c189184', '11fb88a773d40b0e', '244f77df7b4aeb64', 'f38d65464a5edac1', '9eb26a1771bdc736', 'c358c22b6dacdaef', 'f841958b4f3ea9b6', 'cf1c8a8fb8347d9f', 'aea0b4037df73166']; context = [[73, 155], [23, 75], [4, 78], [67, 124], [19, 64], [109, 180], [5, 57], [37, 84], [19, 100], [45, 99], [5, 81], [0, 46], [21, 69], [36, 90], [45, 104], [4, 77]]; loss = 0.012787 low_pass_filter = 0.300
+Epoch 0: | | 29979/? [5:14:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 29980; scene = ['a4db4f86a3f6a3c9', '7ad334323c6c2d87', '5b98e84e8e7ffef0', '6df350016bf650c7', 'fb45a86f6154e126', '06809cb52e822187', 'ed2440762b713883', '420795d6a1a2af21', '69bcf2ac9c8407d2', '734c3bf8e277fc61', '6ebab888069161eb', '52b45b5c1577bab0', 'baebdb8ddcf2845e', '5ccae548a56b2660', 'd006b2a511adbf29', '6d6b7b3c93fa9c9d']; context = [[43, 110], [27, 73], [72, 127], [22, 78], [4, 49], [14, 71], [6, 69], [22, 96], [19, 70], [5, 54], [197, 273], [35, 105], [28, 80], [39, 99], [33, 81], [78, 162]]; loss = 0.011905 low_pass_filter = 0.300
+Epoch 0: | | 29989/? [5:14:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 29990; scene = ['690d71776caf2461', '9966fa446a4eab97', '4c182da5950c146c', 'ea3815a5ada77b49', '2eb1524cf08cff1c', '15870d691082eb40', '19242e2977432835', 'c64522975c1b787a', 'd3d939eb13d3e2e2', 'ba18cfa17a07e100', 'bb5dc6563967a1a7', 'a23c9a6f908d54ca', '5446148b27f5e5ea', 'c335f6430f3c6c02', 'a224bb34d94bbebb', '43796a5e9835d23e']; context = [[22, 104], [166, 224], [99, 166], [7, 67], [31, 104], [9, 65], [6, 52], [57, 127], [11, 83], [23, 80], [0, 81], [12, 68], [48, 123], [16, 78], [5, 86], [0, 64]]; loss = 0.011567 low_pass_filter = 0.300
+Epoch 0: | | 29999/? [5:14:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30000; scene = ['2805a4d6ca7fd6d6', '1f8678091e653a51', '0df3aa54019f7377', '8853c3fc40c69e24', '9350ed954b95682f', '78dcc8fd482170fe', 'fe88b975469701fb', '3b0f30c03d38305c', '2a5e3ab469ccb5c3', 'a3881eb3102f8e4c', 'f9e747a8dcb47bc4', '453429d863b9b773', 'd4a18ba57cd873a7', '6087f77fb4177410', 'ac71d3b414f5e9f3', '7d765fe18635a270']; context = [[87, 147], [139, 190], [0, 73], [2, 53], [10, 74], [4, 79], [39, 96], [1, 71], [16, 88], [125, 195], [23, 112], [42, 93], [49, 118], [7, 56], [5, 80], [93, 153]]; loss = 0.014055 low_pass_filter = 0.300
+Epoch 0: | | 30000/? [5:14:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0validation step 30000; scene = ['cdef9e6563e99383']; context = [[80, 143]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 30009/? [5:15:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 30010; scene = ['0496bb7a63a6dfa0', '1e6939b3c332ae2d', '2b4f68d46cb26a44', '43a0be8fe210881a', 'c12eb1914cdc0045', '4c7d379804ee1210', '67a6d6dd4fe76aad', '7f8dde6252e1ed13', 'e09552a1d3ff9da2', 'a6e5fde299dbd66b', 'da3850d0382a6145', 'dd17004fbd4dcc42', '59491fbde19676bc', 'fc4456fea1c67e5d', '22d6bc367304c934', '46baf2007c7de989']; context = [[72, 125], [0, 48], [153, 208], [3, 81], [50, 131], [122, 206], [17, 81], [18, 84], [138, 190], [22, 69], [139, 210], [105, 192], [78, 150], [136, 221], [7, 63], [35, 89]]; loss = 0.013686 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 30019/? [5:15:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 30020; scene = ['e93f2d8e5c3e2da3', '655fb35c16c01d11', 'fb9f25bdf929f35a', '1a32315be7d1e89a', '069044050b561dd3', '17e8fee7fa718a51', '7464f52f05dec89a', '15d9c18f95e77c6d', 'f582c1071a450e4c', 'd5da6f59e6e8f621', '25a03e68c59e5855', '85921da2df3ab82b', 'c65008663a38505f', '73cc894b128d9801', 'b36da179d5f16e62', 'c4a371ac8ec1477d']; context = [[5, 90], [7, 72], [131, 179], [10, 78], [11, 91], [146, 226], [45, 109], [11, 70], [85, 174], [8, 54], [31, 93], [59, 107], [72, 154], [12, 66], [115, 197], [108, 167]]; loss = 0.012942 low_pass_filter = 0.300
+Epoch 0: | | 30029/? [5:15:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 30030; scene = ['4c5587e7af8707a9', 'e49f051e87f5d4d0', '182135a064f4dbe1', 'e1291a92bf893ee2', 'a463edaa9473ebe5', 'fc9fd50c008ec277', '54a50da60dd74795', '49ec9e21336ff17f', '8c9ddc7f10e09af8', 'd37d4805cda16efd', '486d2231cdb1434e', '80ef5caf2cc342db', '85bc7acec04ffeaf', '8c2dea2fd62ec916', 'f35f88954217caa6', '8c884bf845224f5a']; context = [[10, 58], [2, 49], [18, 99], [180, 230], [169, 243], [19, 69], [68, 114], [4, 58], [18, 77], [11, 95], [27, 100], [66, 136], [54, 104], [3, 53], [0, 46], [1, 85]]; loss = 0.012651 low_pass_filter = 0.300
+Epoch 0: | | 30039/? [5:15:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 30040; scene = ['b224f359d388121e', 'a6085c3947e9edae', 'c87574df2315a23b', 'bdb09a346473c04b', '4b4c851da3aef26a', 'bb3e5ca9e09602eb', '257a55006baed3ae', 'd3f823a591c04174', '5db01ea086a8e862', '1d5f740c5b0c5796', 'a2db16941ab9b242', 'dbd82895ac7ec675', 'a1e67b5c38a3c0c7', 'ebfd99428653bec9', '6c9d79c745a5ddec', '0b34be2996de2167']; context = [[81, 151], [61, 136], [7, 88], [21, 82], [150, 207], [0, 46], [1, 69], [22, 83], [0, 45], [0, 52], [56, 107], [51, 115], [48, 125], [45, 90], [61, 110], [5, 75]]; loss = 0.012677 low_pass_filter = 0.300
+Epoch 0: | | 30049/? [5:15:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 30050; scene = ['8f0a53b40fc2fc33', '0495777304398cd9', 'bafb967ba16f2dac', '3a29c0593ca440c5', '17d5930ca3f12e46', '7015660a6edcfcff', '3e0804dfec129441', '6b9a839f19f37eee', '6b39ed64ff475531', 'b7e0b9bdf95327a9', '71bab239be5027e7', 'fdeba69b8f5018bc', '62bd65e4def165cc', '127766a21c321077', 'c7e826478c32e990', 'd872593da34cc44d']; context = [[40, 108], [16, 92], [50, 130], [39, 87], [27, 81], [2, 59], [16, 68], [13, 87], [21, 97], [40, 102], [2, 80], [77, 156], [12, 80], [3, 49], [65, 123], [6, 51]]; loss = 0.016040 low_pass_filter = 0.300
+Epoch 0: | | 30059/? [5:15:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 30060; scene = ['3046f14dad8f19f2', 'f1657c6128d2b332', '20a321699aab25aa', '693ff6bdb74381f5', '2f8d95d27a8a0d6f', 'a1ed4a38869106d5', '4ceba2c95ef00194', '83aa21503b41e8d3', 'ba876a2b1024ba96', '91f91c407bc8b320', '37382e949c5071a2', '92fa1fe24b4ca072', '8740e1f6de885c55', '5061d6e64c05022b', '1ca35396fbd10b46', 'a12c74058192f695']; context = [[1, 49], [0, 50], [1, 53], [66, 115], [74, 144], [68, 128], [111, 194], [19, 68], [60, 138], [0, 57], [4, 61], [154, 235], [72, 131], [28, 81], [15, 67], [7, 72]]; loss = 0.012776 low_pass_filter = 0.300
+Epoch 0: | | 30069/? [5:15:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 30070; scene = ['3bfe1aac6d0135b6', '92bf6f6997e63996', 'c1ddddc26c9fbfb1', '169d58442c7abe80', '9e2278190fe8af7b', '1019dbbdb880e727', '3dbffcf222b91c46', '629ee0f8a9bb570f', 'eaaced3e184a681d', 'fda3cf8f3c1994fc', '8569d8fe098bf3e7', 'dd9b2201803468d8', '5329c1001f9e5c39', 'f31f2ae8f0316f19', 'a2f6b667dea1c75d', 'e88847a976dc6442']; context = [[8, 61], [9, 68], [1, 76], [89, 140], [0, 45], [1, 72], [131, 201], [40, 88], [86, 168], [49, 115], [152, 217], [146, 211], [3, 81], [61, 122], [47, 94], [6, 79]]; loss = 0.013433 low_pass_filter = 0.300
+Epoch 0: | | 30079/? [5:15:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 30080; scene = ['4f7381df99227904', 'd7e6c0b3ac09c6cf', '0a34b018c664a8d9', '78d31bc844cb6ca3', '51b6e63c903275b4', '886a85c2187060b4', '36be11bd06d2ef68', '05f76b85aa906dc8', 'af1e0e38c0da060c', '1fdf19d7c4402d40', '3352dc8efda190e0', '480284b9570c6f99', '7d890b7b3665505d', '2e3f54363345e299', 'cd6a9e5fcbffa33b', '772e4040081a19fe']; context = [[5, 74], [39, 87], [18, 93], [12, 78], [11, 82], [2, 69], [3, 53], [2, 47], [25, 83], [54, 132], [124, 183], [23, 111], [28, 106], [11, 58], [86, 153], [14, 66]]; loss = 0.014606 low_pass_filter = 0.300
+Epoch 0: | | 30089/? [5:15:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 30090; scene = ['c9de8fca435920b5', '8812c0981c6f30a8', 'ba3afdb34c569180', '8b80a0150e20f2f2', 'd3ba844d429e0637', 'dc1957e821ca7ae1', '86cbadce0ca5921a', '4d8ed991890a31e2', '2c748dc404ccbd54', '387aaba2ad42d337', '97f550d493abfff4', '2b02c34b93fd12f3', 'b5eaad4a2942352e', '1d9c229b23c647b2', 'e67e3fbbc41881c8', '49339a8a4d6202f1']; context = [[198, 244], [64, 121], [30, 102], [17, 67], [22, 80], [12, 95], [15, 70], [95, 144], [81, 156], [101, 168], [44, 89], [84, 152], [5, 50], [204, 268], [23, 104], [35, 106]]; loss = 0.013081 low_pass_filter = 0.300
+Epoch 0: | | 30099/? [5:15:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 30100; scene = ['e59de5847cdb3d38', 'c35feeb614d88e17', 'fc53427e7c49a7c5', '917b6ab7c8384c3b', '6f4c2dbdf3261ce5', 'd2fa1d6b21f973f7', '3e2671d001ec3490', '987ba4e94414a901', 'e806eb496df1dfa0', 'bbabc35c62bf6c42', '05d28b2730b211f3', '736e4b77ba8cd0df', '4083f9a09c11707f', 'fcb256aee3f2f1e9', 'fefc3059183c67f6', 'a53970a62f2883a5']; context = [[20, 66], [4, 52], [7, 55], [26, 115], [45, 94], [12, 102], [8, 77], [0, 45], [22, 68], [6, 57], [4, 56], [2, 53], [0, 70], [34, 80], [32, 85], [7, 78]]; loss = 0.013659 low_pass_filter = 0.300
+Epoch 0: | | 30109/? [5:16:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 30110; scene = ['6b11502564fb7710', '525704f3d9c6bb04', '5f38887f43cb3920', '234412571834f399', '4fbb00ed2fc06e3a', '3824b41cee2ad683', 'dc416c3132e5f144', '8d578313f413b0df', 'd1208cce4fb6ba0f', 'f819c202c82dbd4e', '173b19f15ff9a34a', 'e9ae04619bdeca8d', 'bf84e0f38a25ff6b', '0397db66e75e11e3', '828c3898047387d3', '26bcaa3454a97edc']; context = [[0, 83], [17, 65], [44, 134], [69, 156], [45, 121], [19, 109], [11, 75], [14, 69], [86, 134], [19, 87], [121, 180], [18, 66], [32, 106], [21, 83], [13, 72], [60, 114]]; loss = 0.018343 low_pass_filter = 0.300
+Epoch 0: | | 30119/? [5:16:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 30120; scene = ['227c5cb6deec4b14', 'd63833f83f138e65', '49ec44f255323b8b', 'f8acae9d5aa8c560', 'b022eec42368a30f', 'e635188de5459834', '450a7534d76e1d77', '57ef0c24d90eb0ad', '6f9a38e416c0cbbc', '9727a06ab104dd69', '3d0e037775a94dad', '41ac5e73b4bb9dd3', '901acd3f5f61725e', '7aa1330f7063540b', '9c6b4263d2b5bf61', '5c6cc840651fd034']; context = [[190, 247], [3, 66], [170, 218], [77, 163], [11, 71], [0, 56], [29, 115], [14, 92], [4, 92], [141, 198], [7, 68], [2, 89], [165, 247], [1, 85], [31, 116], [4, 50]]; loss = 0.014772 low_pass_filter = 0.300
+Epoch 0: | | 30129/? [5:16:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 30130; scene = ['88c9f100af32569d', '455616306ec6b0ed', '09c65d81dc3077f9', 'dacdbfb398ff5f6d', 'f10782ce78501840', 'f70bb4d0420a0db8', 'aecaf8906a0a9bb1', 'e70318df450ef2d3', 'a88aacae0caba416', 'c6100bdecdbef80b', 'a6e57377594a7a40', 'bb3ea257b38259a4', '1a0b5e0311249585', '5493511c3cc73c6e', 'e050c501434635a6', 'bbfc8f15f6a23e15']; context = [[33, 90], [81, 161], [4, 70], [32, 80], [27, 102], [169, 225], [20, 90], [115, 183], [11, 93], [19, 72], [23, 79], [0, 47], [34, 107], [142, 207], [30, 107], [55, 116]]; loss = 0.016506 low_pass_filter = 0.300
+Epoch 0: | | 30139/? [5:16:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 30140; scene = ['bbfa87d9c959aec1', 'a931b461d6725481', '71f2a56f5807d8cd', 'a9f1c9d9bc9bdf0b', 'f7a74e0520117195', '786cc15dbe60b001', '6c24f4a41780d884', '14f68c00678fdacc', '94841d39236a40ee', 'fcd6f54e8de6486d', '1d5822138fa0c718', '979d15f0f89f5020', '967cf97a932fa507', 'b536906fec712983', 'bc662581e95f0199', 'f7b32305d6daa2bc']; context = [[3, 82], [125, 183], [43, 131], [56, 134], [1, 79], [28, 118], [39, 121], [1, 48], [4, 77], [19, 72], [32, 111], [6, 95], [9, 98], [22, 96], [17, 94], [22, 77]]; loss = 0.015844 low_pass_filter = 0.300
+Epoch 0: | | 30149/? [5:16:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 30150; scene = ['13f8847cbc1ca44c', '139fa8c7577496de', '4b435ca0a80ee76f', '49eec4f2aca0a781', 'b628c72cc878780f', 'e294f1cd6bcdc9e5', '9cf4511625b44389', '3b8abe0cda9917e4', '1c2e5f0ee4f0a04d', '6edfc46eec151202', '94a58590c20a67a6', 'edb67472914edb3e', 'f62c8c5be2ed3972', 'c522861ec7164145', '51d902a2dd5125bf', 'b0c6597c77c51a8c']; context = [[51, 134], [6, 75], [58, 107], [221, 275], [58, 143], [17, 92], [49, 105], [16, 81], [13, 102], [45, 97], [67, 118], [11, 78], [77, 145], [28, 107], [18, 71], [6, 88]]; loss = 0.016303 low_pass_filter = 0.300
+Epoch 0: | | 30159/? [5:16:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 30160; scene = ['c05fd148d2da6d26', 'b11afc47f2feb21c', 'db6ce23f93a9a0d3', 'aa4938d7f2fd0a1d', 'e4fc6fa4bbd6efa1', 'd2ad156576e078cc', 'e591d9029999acf7', '8ed29fb486571fb2', '1920d2569a48d093', '7115afbb65c8ac64', 'de4d8835fcd2c01f', 'f8c8f856e17bbb49', '4bab5ad9f4fa2dd3', 'e0113dced65377a5', '401b85f7fb0e11c9', '0df2f549085e0bbd']; context = [[4, 78], [27, 84], [3, 61], [137, 205], [80, 159], [3, 48], [23, 80], [87, 161], [15, 78], [115, 203], [149, 207], [3, 53], [71, 126], [6, 75], [4, 84], [2, 58]]; loss = 0.014176 low_pass_filter = 0.300
+Epoch 0: | | 30169/? [5:16:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 30170; scene = ['d99560f0aa44a3d8', 'd2d2a0c5dc46dad2', 'f88b8dd03ece49f4', 'f9a30d24e405a37e', 'eaf6edde08f1628b', '7c8ec1f892f1f28f', 'b6dc677eb037b7ba', 'd82d56dae0f3a41e', '0bb7fd06010a6679', 'f0d00e37316b2cca', 'a687e1016df6494c', '7e21932901718a57', '7abf846b4cebab8d', 'd669efadc5cc98d6', '2565fa91d5511cd6', 'd7bc9b74b15143c1']; context = [[97, 148], [0, 71], [50, 116], [61, 148], [39, 114], [18, 71], [11, 74], [77, 165], [8, 83], [2, 61], [0, 56], [0, 48], [38, 90], [101, 153], [22, 72], [0, 58]]; loss = 0.015726 low_pass_filter = 0.300
+Epoch 0: | | 30179/? [5:16:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 30180; scene = ['5cb47e3166c38e5d', 'eb5866e067145cc8', '13e5cc68e6dc21c5', 'e6b1a3dd0e2943aa', '69cad0c6cead0b04', 'e281213868014707', '9cbc68c41da0fbc7', '03f4ab4ac23f39e0', '7a159ffb882659db', '87c675284f595cdc', '71753b7d416adcaa', '397652e91be52496', 'ce29ddbc8cd39fbd', '7944123b979037eb', '2105640d06ddf91f', '4ce6c5b15de6f43c']; context = [[157, 210], [2, 75], [98, 157], [18, 97], [2, 62], [140, 213], [16, 82], [10, 55], [0, 90], [28, 105], [2, 64], [7, 91], [107, 157], [41, 121], [1, 67], [19, 86]]; loss = 0.015607 low_pass_filter = 0.300
+Epoch 0: | | 30189/? [5:16:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 30190; scene = ['59131df6f80c65f3', '0b59a8c5d245e625', '55507faf4f052e4c', 'a0563aca1f1d5e0d', '7d1a114ce4b4b2d4', '2a3934b5dc9568da', '77e9dd168055a3bd', '4a9cd2b03b28267b', '70ccfb8827dba3f7', '81b0ef8a758fba61', '1d551aaae4e7bcba', '1dd9690bd5cc0fcf', '6da546cc88d60c4e', 'c95b281ebb1d5204', '0cd6f4841a15ea2c', 'b701a44de44e6712']; context = [[4, 63], [46, 117], [46, 107], [127, 184], [0, 77], [21, 108], [35, 106], [41, 98], [24, 104], [46, 120], [0, 67], [131, 199], [20, 90], [12, 83], [2, 74], [76, 133]]; loss = 0.012950 low_pass_filter = 0.300
+Epoch 0: | | 30199/? [5:16:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30200; scene = ['7f5d687b4d6d916a', 'b85c409875a4573a', '0584d558b805f5b6', '22ca83423c4a8c9c', '3a37a1b2a1ea13f8', '526189d3fab5d4e1', 'e17790b2f36e4c30', 'ab5ed6624644f825', '9825644a9714109d', 'f5c90024e0c40fa8', '964b1504ba08b772', 'b3762e6eada7c909', 'd124663c9b0bba5a', 'bb36dd0e45474503', 'd8b5c23a498b8ae9', '7277318e530f2a41']; context = [[202, 274], [1, 87], [90, 140], [79, 131], [130, 181], [0, 82], [14, 86], [20, 85], [92, 175], [1, 47], [6, 62], [5, 71], [16, 66], [82, 135], [0, 49], [146, 233]]; loss = 0.015607 low_pass_filter = 0.300
+Epoch 0: | | 30209/? [5:17:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 30210; scene = ['fd9625e01240c2a3', 'eef4a92fb2f64d7b', 'eae83400ec7b69e5', '3ab741ae7d2d6b3f', '6e238645b2a85804', 'ef98b97970d1926d', '1ff35ccd15e08a8d', 'eb92f95542ff395d', '84157bfab55e3573', '045a9a81122cf9e1', '2bba4f98ea96daea', '12626eba886405ed', 'fd46ddb80c816b61', 'b8d55d4d98ec2500', '50295014ad236fb5', '9865c5e8e229fc40']; context = [[45, 132], [3, 66], [34, 91], [12, 102], [117, 183], [39, 109], [131, 197], [7, 62], [11, 81], [14, 82], [9, 88], [50, 124], [48, 102], [123, 200], [65, 132], [21, 73]]; loss = 0.014278 low_pass_filter = 0.300
+Epoch 0: | | 30219/? [5:17:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 30220; scene = ['6be724a70229bc17', 'd44eb5d03836bfa8', '583048ed25adad4f', '939a8aa139d55a9a', '81ee97f3eb44b898', '2abadda3f12274a2', '254bab680a316f9b', '09c7171529d82a2a', '1545821f510802e7', '2b08d88dc7851fcd', '3f51c9c0cbfe6cc1', '28bdb921baafbfac', '6e02d6ad65df4d55', '9e1d56627d5b989e', '15f2248c0e2dc148', '1f49c172e103f59b']; context = [[55, 104], [1, 46], [77, 161], [2, 67], [1, 71], [24, 81], [24, 69], [3, 57], [2, 48], [62, 121], [60, 143], [14, 60], [0, 45], [75, 149], [15, 83], [46, 121]]; loss = 0.010346 low_pass_filter = 0.300
+Epoch 0: | | 30229/? [5:17:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 30230; scene = ['00259da07b0dba33', 'aea87b7cc45be423', '347cf270635e7669', 'cf66a28e7fc91df0', 'b2552e4d82704f91', '6e4a4080bbfe71ee', '72b8841cd425a2c9', '6dfa39c38752e808', '0a33f564954219bf', '6aeb9e7da2ef641b', 'a25f9f692c13ade2', '887e6ea37b83acd6', 'eefc90aa3286ec8e', 'd64375df42965cc7', 'ab9f6c8caa4811c7', '47af98ea90f1fbf9']; context = [[43, 91], [68, 135], [72, 133], [9, 87], [16, 86], [46, 102], [0, 79], [19, 78], [6, 57], [2, 78], [2, 75], [93, 139], [8, 55], [48, 125], [10, 78], [49, 119]]; loss = 0.013060 low_pass_filter = 0.300
+Epoch 0: | | 30239/? [5:17:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 30240; scene = ['8268a9a1ef78642c', 'b71007f2949391d2', '8a3aa041b2efadbf', '01c8b17d4f7866a2', '1e75467b50ed22fd', '0b83cf4cfc094f50', '82b8c2cd30c09774', '9e2bf052c201f18a', '437c8f3d17f24018', 'd936dd442514c73f', '6c6448162ad80c6f', 'b2cfbaf2c3d29d35', '8f0f4e93618b5921', '68202dbda0564cc9', '56b52d634f3a3d1e', 'ebc7d29df9f0118e']; context = [[43, 91], [8, 54], [220, 270], [26, 78], [29, 103], [34, 109], [69, 144], [5, 50], [5, 90], [45, 114], [7, 95], [43, 98], [58, 116], [23, 99], [7, 54], [101, 183]]; loss = 0.014305 low_pass_filter = 0.300
+Epoch 0: | | 30249/? [5:17:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 30250; scene = ['f7cbb66b48c9008e', 'a13f3056e60c07a5', 'bc7f04a3ec906867', '5979f56b953ff1cc', '5ab82d98941fd59a', '899a88c42d19562a', '4dd89c9e62c601a2', '6a4023f9a3212fdc', '88125aa22fd8aab9', '6634e1e36f6c5ee7', 'ce290e98b347b126', '669ba2fa4da6a5fe', '3fcbe0bac84583c3', '23080c60697e15f6', 'dfe34dee3ab76515', '31d5682b2f1ea580']; context = [[3, 62], [123, 211], [103, 164], [0, 90], [105, 155], [20, 80], [24, 70], [69, 128], [104, 151], [0, 61], [30, 75], [11, 97], [2, 90], [16, 86], [4, 54], [66, 152]]; loss = 0.015391 low_pass_filter = 0.300
+Epoch 0: | | 30259/? [5:17:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 30260; scene = ['df3ab587bd731a9a', '08b7f061e79af09a', 'c792e7bbaa1e7edd', 'f873485ea901f0aa', 'dde08cbd97dc236f', 'f7f53a9d54d4098f', 'c6b4ee182a0c8f70', '6d55c2c63ca27b57', '1c574a0a214c7b60', '155507e6c573ea0f', 'bbf6e68d193c39cd', '28edd0fc4cc7a93e', '3f96be687636d51d', 'dda1c0ecd0acce7d', 'd7e926c740ac7137', '2f0650a94d92200c']; context = [[49, 105], [3, 84], [88, 149], [5, 93], [41, 102], [0, 71], [26, 102], [8, 85], [3, 86], [168, 229], [35, 111], [8, 68], [91, 160], [4, 79], [45, 108], [189, 248]]; loss = 0.014593 low_pass_filter = 0.300
+Epoch 0: | | 30269/? [5:17:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 30270; scene = ['3722e45b5966fc7f', '12fa5b60a2ba9d8f', '6f9088cd9c755fb0', 'cf14d94f41c6e825', '64ae75e57c6aa0a4', 'd159debd3f3ac5ec', '9296168b518b720b', '430d79082d999336', '7220014865edc948', '6e94c7ef02cf40e2', 'f94017111f42dc3b', 'cc0248e847e39145', '543ea079f1309658', '28ea31ddd950f082', '9b36cd244baab44e', 'dadfc4dcd0b06a7d']; context = [[59, 115], [41, 86], [38, 118], [38, 110], [78, 141], [10, 91], [18, 99], [24, 77], [107, 176], [19, 89], [22, 70], [4, 79], [3, 83], [60, 127], [73, 124], [32, 98]]; loss = 0.017100 low_pass_filter = 0.300
+Epoch 0: | | 30279/? [5:17:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 30280; scene = ['ce22a7c6cfb67c84', '01babd2e26d86a69', '54b4679cff88a6e7', 'de389793b2411ed3', '8926ee7e50292e45', '19c383ad9f21d0d3', '22aabb68991097e2', '24a1a6c52a633727', 'dc7049ad80e43f68', '283653f302cda895', 'f53ae42fd04748b9', 'd6df31b91d86f26a', '4a63558a9d7092e3', '760b7d4422f20505', '57175f0ed3caaab0', '3241185f253cbefe']; context = [[38, 117], [2, 62], [183, 264], [158, 205], [17, 63], [77, 157], [55, 101], [7, 67], [27, 116], [27, 85], [35, 88], [1, 56], [6, 81], [136, 184], [27, 77], [14, 104]]; loss = 0.012172 low_pass_filter = 0.300
+Epoch 0: | | 30289/? [5:17:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 30290; scene = ['93608c4038aa7076', '98824563b9f7d065', '1220bffac85171ae', '0db69b3fdc5ac7a4', 'ca8f37b7464df7c9', 'fa8905506230fe0f', '287e328a3cfd0a3f', '2b8fa8399b03fe43', '4d994aec842911af', 'ac614ffc64689343', '027b30795e6686e7', '35a54f0024a0eecf', '4ddfd1909ff161b0', '1470e8e5dcb89343', '9a4d6cb375ce2cd9', '48e8066af70d253d']; context = [[6, 75], [116, 194], [41, 126], [46, 133], [10, 93], [62, 126], [64, 121], [4, 88], [5, 80], [34, 87], [0, 57], [170, 238], [68, 131], [27, 95], [163, 225], [6, 65]]; loss = 0.011645 low_pass_filter = 0.300
+Epoch 0: | | 30299/? [5:18:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 30300; scene = ['6ba5219cfc2dcf6a', '3801fa932c2b4338', '3828012e4927ce86', '2117960d31ed1cb2', '0d7fdf79a21de6c3', '8488fa43d3af93b3', '496d1c59633bb143', '9dfab02a0ff14bb9', '3150b1c3a91a4e9e', '99035b0c28d05e25', 'a5ffb8224b9ba43f', '8f33ee0e7489575f', '3b06584da906811a', '2e5ff8faebe9c6d7', '76f02583342a49fc', '0baee54b3ba3f9e0']; context = [[6, 51], [20, 86], [56, 118], [67, 116], [19, 71], [8, 96], [2, 52], [3, 92], [38, 115], [15, 105], [2, 68], [79, 154], [54, 142], [17, 62], [142, 190], [2, 66]]; loss = 0.014056 low_pass_filter = 0.300
+Epoch 0: | | 30309/? [5:18:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30310; scene = ['c218bbad1da54262', '6a5d174f02a79995', 'd44cfdddecdcbcf5', '35fb934b6f5d7250', 'daa2fe679b1fe2a8', 'f36f99cf29f3be44', '41bfde5305c81839', '25566dbcbdb9d453', '6f22c617870a2aae', 'c938cdcb831e024b', 'b6c050a85869fbab', 'c1b6e10c20d99e06', 'cac3f22b990387cd', 'd0e4a11f9aa906cc', '0d93117304b2c328', '6f5935c4967852ef']; context = [[3, 67], [17, 84], [114, 181], [35, 109], [6, 70], [81, 130], [90, 180], [48, 116], [1, 78], [1, 61], [0, 90], [21, 73], [12, 91], [6, 88], [1, 87], [40, 85]]; loss = 0.013672 low_pass_filter = 0.300
+Epoch 0: | | 30319/? [5:18:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30320; scene = ['441fb31750988576', '7fe2b466e98518a3', 'd216906d16b4f008', '49983a5053eafbfb', 'd8dee462911b5e6a', 'a8b050efa6c8b67e', 'ebbb77419914acf1', '9329c049929d708a', 'abf0d83a408af2d6', 'e1df53064b4345d8', '702b39a8cd04ade6', '7fe5e77e660d9f01', '591b7fef7e40aed8', '0159a74d57a1b2e6', '5859904aed1bfa09', 'a677f7099c189184']; context = [[29, 94], [116, 177], [2, 85], [19, 83], [53, 122], [4, 94], [29, 119], [1, 90], [0, 48], [94, 139], [98, 148], [15, 70], [33, 108], [13, 90], [5, 93], [9, 60]]; loss = 0.014000 low_pass_filter = 0.300
+Epoch 0: | | 30329/? [5:18:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 30330; scene = ['ad9fb9be955d5f75', 'eaf9ee5dcff79cfb', 'fb602e807115895f', '0603807853f0f013', '40e5a3bb5f8594ea', '9e78a8ce89ddf0de', '30f5837d45148abf', 'ed07387354f104e5', 'f590c2e368c84263', '7412a1ebda95734f', '6e3b707bc0e641db', 'bd11fed87668a3fa', 'c1432ad50b513b5c', '3cc43661190764da', 'eba9280b3b5f62bb', '7ecd8192e83bd9bc']; context = [[34, 114], [53, 98], [182, 261], [1, 56], [1, 55], [2, 87], [0, 69], [51, 130], [8, 84], [15, 68], [8, 63], [68, 122], [10, 68], [104, 164], [79, 148], [23, 80]]; loss = 0.019029 low_pass_filter = 0.300
+Epoch 0: | | 30339/? [5:18:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30340; scene = ['b68cfe04fa83d13a', '966fe01da602a653', 'b1b3e987c23640dc', '9abe0db0374db859', '70a51dc88d4ff701', '57be712fb0ea2f4a', 'f427a711c9d913d7', 'd7435afbd0b0a8ae', '7634ccdf6c344129', '677748baf15925e0', 'ff48623caeaa8f9c', 'd245364fcccb1139', 'e705e9ebe38e0f37', '81d9554ed347307c', '7d900c809e896e32', '677e8ff48506dc49']; context = [[15, 100], [12, 59], [6, 83], [37, 111], [32, 98], [8, 84], [0, 85], [1, 52], [21, 103], [31, 98], [54, 127], [0, 45], [0, 52], [0, 90], [47, 97], [64, 153]]; loss = 0.014573 low_pass_filter = 0.300
+Epoch 0: | | 30349/? [5:18:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 30350; scene = ['df195aa2a1cacb84', '6474d8cacc2f28fe', 'ddbd515bc8c98936', 'decd051e0c40f8ec', '965ec1449069644b', 'e6f930f16e482b44', 'a3e1454634601a50', '0d72c563766e5a38', '2dc680ab9533912d', '5a56c4b9687b88c9', '465249a4ce4bef29', 'bae2ba40b2703313', '01789229a85a4516', '1663112dd64c920b', '257e2910b28b2b2b', 'd42efb39cd972a19']; context = [[10, 74], [16, 104], [57, 138], [0, 80], [48, 137], [53, 116], [0, 68], [89, 146], [9, 72], [26, 78], [29, 94], [112, 201], [27, 74], [114, 169], [1, 65], [13, 74]]; loss = 0.011192 low_pass_filter = 0.300
+Epoch 0: | | 30359/? [5:18:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 30360; scene = ['6e420f4dbcaa5141', '4d2f018694d151db', '5ca6e5592a9360bd', 'b731f727dd51f5ac', '44fc5677e722caaa', 'fe949482103cc3ff', 'adc0361ca9865797', '12e062f03f2e1ed5', '75d0af62ff6d8a99', '6cdd423fa03d121a', '6c3ca5d5638ee27c', '20e7b7a88ff9e9b0', 'cf0f04664365920b', 'e09381fbc7d917df', 'ffef9b51cbc0d8d5', 'ac53955bee2ad533']; context = [[5, 70], [24, 97], [0, 82], [169, 242], [78, 152], [0, 72], [88, 157], [176, 259], [48, 126], [1, 85], [151, 202], [64, 135], [127, 183], [1, 54], [14, 63], [0, 68]]; loss = 0.013796 low_pass_filter = 0.300
+Epoch 0: | | 30369/? [5:18:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 30370; scene = ['db55df0601ccac9c', 'c1db91b9d4c83bf8', '39336763f0c7e640', '7787499fa8f6ae16', 'ea6083f964b9cfff', '3ecc9dbeec2451f0', '97c0e17033d685ba', 'b7f11264f90f9fdf', '83085493f4bc18d2', 'a8c23400a2bf1eb5', 'ea4e8db997cafe5d', '4e4314a00227ed83', 'a6d8c29cc124ba06', 'c1067c28947eb908', 'f9819d0fa6976ef4', '227bf499869cf372']; context = [[117, 184], [3, 60], [13, 71], [210, 266], [190, 258], [9, 58], [12, 91], [0, 45], [139, 195], [10, 71], [3, 87], [29, 91], [8, 63], [34, 92], [5, 52], [1, 77]]; loss = 0.016795 low_pass_filter = 0.300
+Epoch 0: | | 30379/? [5:18:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 30380; scene = ['f8448a1d0e098580', 'd7771ae79c3f26a6', 'd1910994e205375f', 'f7b38b4801c35c54', 'bc5f4b5e37f71aec', 'a1a0bcce8001f776', 'b64f6fc16d34be37', 'd862527a043561c9', '5ef8bd0e10b08506', 'a6f8fd517ff5fe42', '9ec2e7dce2d6f463', '589132cb58573057', '8c6d47f3c5e452d1', '2de7f58f5e033b42', 'cea44a6c6a0d3848', '7554edcbb2a0f82d']; context = [[0, 65], [2, 65], [24, 89], [37, 100], [3, 61], [120, 206], [56, 139], [18, 91], [1, 58], [90, 153], [11, 70], [1, 84], [20, 73], [6, 53], [0, 55], [1, 87]]; loss = 0.012536 low_pass_filter = 0.300
+Epoch 0: | | 30389/? [5:18:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 30390; scene = ['d3c13f24d1748e4e', 'a588073ae3085066', 'd8af738fe0e075cd', '656937bc0b7ed9e9', 'c87fa710dbf6e1e8', '50dcba6e74327a01', '7f05dc11f261ac7e', 'a6848c8e53f92ff3', 'fa6ba76d65250e32', 'aadf777d56b72648', 'bbdc3b1539d28a74', '820153448a81ca35', '4c6a479aa67d1315', '9af065fa0eecc6c5', '4896a38b53acca36', '671be2fd373509be']; context = [[56, 110], [55, 140], [158, 216], [12, 67], [36, 92], [8, 53], [137, 186], [17, 69], [1, 48], [14, 103], [1, 69], [9, 64], [103, 153], [84, 132], [5, 94], [51, 131]]; loss = 0.012711 low_pass_filter = 0.300
+Epoch 0: | | 30399/? [5:19:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30400; scene = ['081b5e17550df8d9', '35a2c80839ed1a83', '84c0a472c03a9f97', '8ca0beb765f623a1', '809ca67ce740d82e', '454721c5dcd24e79', '08a72fd36ab85dd6', '8c3f358e0091f076', 'a636601bd59b9552', '04a191933c5b05ec', '300571576edc008c', '2d2e083469f86df3', '16d5fcf0a07db1db', '78c62f172a3993a9', '08a366317a388734', '7c8ea270ce10d4cf']; context = [[161, 239], [1, 64], [1, 61], [11, 89], [4, 58], [20, 100], [9, 81], [21, 78], [4, 69], [3, 66], [11, 80], [33, 111], [47, 130], [196, 278], [86, 140], [22, 74]]; loss = 0.013118 low_pass_filter = 0.300
+Epoch 0: | | 30409/? [5:19:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 30410; scene = ['99deeddd5980df06', 'a0b693679222ef04', 'c2e8b1a8af7313ac', 'c85a062ef75da02d', '1ae8f4c92ddd7e4c', '64771614a9c51005', 'd4b5188ec6c11503', '0f381299eb040cf5', 'f7208599a9ee6210', 'c8fb17847692be86', 'bb4947e4d2edc1ac', '5f8f8bae3e8c4a23', 'a0cd28a901a7589a', '8c8730be5c873d5d', '7f19608dbd224ae1', 'e8cb8f24c2fa8a45']; context = [[1, 46], [37, 94], [0, 52], [2, 65], [9, 68], [63, 131], [2, 49], [40, 87], [45, 123], [33, 119], [13, 69], [1, 57], [38, 115], [35, 84], [193, 245], [6, 78]]; loss = 0.012980 low_pass_filter = 0.300
+Epoch 0: | | 30419/? [5:19:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 30420; scene = ['1b27411dddfd34d5', '2403833c4c2ebe00', '59cb0041b86b8912', 'a3496f8645a2f78a', '2d32c57a5f20c22d', 'ee04aad516236ac5', 'f1a0c44d75a58a05', 'a5bcc915ecbc820e', '831ee308d40b2fbf', '7c999c01839d3528', '3a3bb7a7d7f316d9', 'd96c729906d631c5', '3bf9f02b026d74bd', '372e97b694dfb4e3', '3e44962dbf4e0a2f', 'd49f0370619ad32e']; context = [[38, 112], [14, 101], [9, 84], [4, 88], [63, 143], [82, 134], [8, 82], [8, 71], [5, 83], [3, 51], [11, 58], [64, 109], [5, 61], [21, 84], [92, 141], [9, 96]]; loss = 0.016772 low_pass_filter = 0.300
+Epoch 0: | | 30429/? [5:19:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 30430; scene = ['5412fa985f955823', '7e36e7719da64e32', '654eb3afe20032cb', '8448671a83c08ac3', 'e4f30516953526eb', 'b323927b8ac10c76', '2104fe390a0503d0', '1013958b9d5a57fd', '173ec6098bac29fe', '4dc18688d7035c2f', '779a17b84e25feb6', '757c2be20ce6cbb4', 'e6a4c397f62687e3', '9a38c7681395953e', '83fe566272def272', '3bb7b286dee65826']; context = [[0, 45], [186, 270], [168, 250], [12, 84], [67, 123], [25, 97], [8, 97], [7, 87], [59, 107], [1, 80], [19, 92], [99, 156], [1, 77], [18, 101], [109, 168], [61, 139]]; loss = 0.014166 low_pass_filter = 0.300
+Epoch 0: | | 30439/? [5:19:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 30440; scene = ['a539cdd0182bcc7b', 'b4129ddd2e8d9ffb', '35d21e2bd3e505be', 'e806c8996c08edcf', '72a9c61ce291388d', '47bbe5be6d1a1faf', '40afe34a720b2555', '42dbc601fe2ef235', '1c3978a2a10683ed', 'efbe907be10f9dc1', '9a7592ed3d928a81', '6bb5c60edea6cfbf', '0f26970967ddf02c', 'cbe0c9fc3dbd7684', '373ba08bcfc84006', 'ba7bebabc6b4f278']; context = [[133, 189], [0, 46], [22, 69], [13, 62], [57, 105], [18, 69], [1, 47], [7, 62], [9, 79], [121, 174], [133, 201], [25, 87], [22, 85], [18, 82], [77, 123], [12, 67]]; loss = 0.014542 low_pass_filter = 0.300
+Epoch 0: | | 30449/? [5:19:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 30450; scene = ['2e2514bb46f6c104', '5f28ea540c35ef3e', '0fec4e9f1cb081ef', '547cc94768c46e62', 'efd001b0d5127d61', '5cd1e4ec30cd1bf9', '8cfd52fbbac85c10', '90b04edfae620c63', '6a54293527f78617', 'bca02cbb5d54d742', '2da233b5a1fdf1e3', '23ddd033854eec57', 'ee8ab2f1852dbad4', '009e7b2d81e10364', '0fe10b5631a7ef35', 'c73baa525c7917c3']; context = [[27, 82], [10, 77], [10, 58], [2, 76], [164, 233], [155, 231], [188, 272], [21, 107], [6, 61], [32, 117], [169, 229], [8, 57], [29, 80], [5, 70], [65, 139], [51, 97]]; loss = 0.014679 low_pass_filter = 0.300
+Epoch 0: | | 30459/? [5:19:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 30460; scene = ['56c2e3be59e42a1d', '8359331f6ccb5b85', '6e743856adbecde2', '89328b746d91784c', 'f92dfbf60b7b8922', '0cd5d9a7517c9b95', '5cf27417d3bfb8b4', 'ed005f6bcd0140c0', '9ba0b584b6389b13', 'f725365ce0e0c2e2', '620badb8c2cf2235', '212e4c995719dfc2', '99526f818abca6e9', '013f7976d361a919', '8f203faae0370a16', '5cae0c8af1963d88']; context = [[19, 83], [73, 132], [2, 58], [1, 80], [120, 177], [13, 67], [139, 220], [171, 258], [21, 106], [149, 206], [54, 115], [61, 109], [72, 134], [9, 83], [9, 80], [84, 149]]; loss = 0.015591 low_pass_filter = 0.300
+Epoch 0: | | 30469/? [5:19:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 30470; scene = ['339fe58908bda753', 'a1edb91a8328fa3e', 'b323927b8ac10c76', '5412fa985f955823', '8448671a83c08ac3', 'e4f30516953526eb', '654eb3afe20032cb', '261442e6f0afc52b', 'eb251b8f5a89108a', '7e36e7719da64e32', '3f2e9802449e4d4e', 'a33696bb26c11d04', '2104fe390a0503d0', '34147732c796bf8a', 'f7c4a07dfe6a73cb', '6aecdb5a28893bca']; context = [[40, 100], [17, 82], [32, 77], [0, 45], [10, 62], [81, 160], [226, 273], [16, 91], [102, 158], [172, 258], [158, 209], [48, 99], [10, 72], [23, 90], [5, 78], [29, 113]]; loss = 0.012875 low_pass_filter = 0.300
+Epoch 0: | | 30479/? [5:19:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 30480; scene = ['40990b4eb108c003', 'ca738f440873a7ac', '9ef5b77b6ce7235a', '0d7d697af93bbebc', 'b7efd4a0885241a0', '32f21d507431102a', '9ea9c23612f4febf', 'cd7942b83b5de1dd', '217b5aa939551994', 'eb0b0f7457e2a430', '28ea6096b062a3c4', '838294ac1983543d', '0d4c07701fbcd987', 'f2f26942afae1b61', '623f0cd8db399bb3', '9c81979412763fc5']; context = [[54, 114], [1, 49], [17, 87], [3, 54], [200, 257], [44, 93], [16, 63], [1, 88], [114, 190], [32, 95], [52, 103], [2, 84], [8, 93], [11, 96], [0, 47], [77, 141]]; loss = 0.011941 low_pass_filter = 0.300
+Epoch 0: | | 30489/? [5:19:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 30490; scene = ['c081fa859752b467', 'ce7cf400d52e3e52', '7c79705189eff822', '649307d5095c45db', '4c4749e293cb665b', '891a2d8c1847a450', '533c1156dd347a3d', '8848308b52fd1c26', 'a20afaa5204a0dd0', 'b687a0112cc8f234', '082f278db0e77982', 'f76591c4921d769b', '060ab7a17625581c', '50567d99669deaba', '35f5db03b4895d5c', 'c5e7121274452916']; context = [[20, 81], [0, 45], [27, 89], [6, 75], [78, 141], [19, 87], [49, 124], [0, 47], [3, 84], [31, 92], [217, 275], [56, 104], [15, 101], [24, 102], [1, 84], [3, 75]]; loss = 0.012650 low_pass_filter = 0.300
+Epoch 0: | | 30499/? [5:20:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 30500; scene = ['ba06fa6ec64f79e5', '950f1ff0a8e7c0c0', '4331ddbed504bc6d', 'c5b9d0e39a756324', 'd9f718ad1e6fc7b1', '6e4cf169bcc208d0', '5b33a7567dabea55', '97660463f92bfd77', '7ff18d239739a030', '466840dc6e9a03ea', 'd4026806fbfcec2d', '977e012092cce978', 'df6497d7c62858d7', '8af01c97ef867ff2', 'f836361293db672b', '4ae003ef13ad4ffd']; context = [[0, 76], [10, 75], [4, 91], [97, 155], [109, 164], [13, 73], [33, 102], [36, 110], [15, 71], [22, 81], [14, 63], [123, 203], [14, 65], [2, 48], [7, 69], [0, 71]]; loss = 0.014449 low_pass_filter = 0.300
+Epoch 0: | | 30509/? [5:20:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 30510; scene = ['c95e4eadb5265b1c', '6993473d6d315d1d', 'd5ac40102b33b530', 'e6828e4eb26c2f83', '039c99628d6ca6f9', '6643261a369ffb84', 'b51d563eda82f6fb', '29ec1cdce3773212', '7677e9a78b95e957', '1219a58b37007b1a', '4219aa8a08f91efc', '09f926704a6f40ed', '3c4bc72a79c67319', '9a2486bdf41619d9', '0fa2deada64f12cf', '08ee15c7042507fd']; context = [[2, 89], [6, 64], [28, 92], [16, 78], [1, 51], [5, 94], [5, 83], [79, 127], [22, 80], [44, 100], [38, 104], [0, 45], [5, 52], [32, 105], [31, 117], [91, 143]]; loss = 0.011729 low_pass_filter = 0.300
+Epoch 0: | | 30519/? [5:20:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 30520; scene = ['f5b6c988d6461e03', 'fd685a5cad0a5de2', 'cec246dd08244706', '2ab7191767060703', '6699bdc07abafaf3', 'a326c1789c4252c9', '6655438658c7c04d', '2139caf346127018', '975a2f13d72efc5c', '2d91d0f623819b59', '3b0eb3d75bee5a3c', 'bbe1b908d3d88433', 'fa1dfc8947aa2160', '274eaf2e87c03ced', '9a2085418c9539b5', 'fc8c4567729dcba8']; context = [[27, 74], [1, 74], [3, 76], [31, 89], [2, 60], [2, 66], [166, 217], [86, 134], [64, 137], [53, 136], [3, 77], [24, 108], [1, 74], [2, 66], [2, 76], [11, 72]]; loss = 0.014029 low_pass_filter = 0.300
+Epoch 0: | | 30529/? [5:20:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 30530; scene = ['3841fc3abd900258', '1c827c5e0ead36e5', '49aead36f6176b9b', '4d3976b773ca97c3', 'f40443997986b638', '9936a143ff82ae38', 'f79f370f6b975e6c', '87b882eb45955770', 'c633ee306fd04085', '107c1da31e57f630', '5d2603f337f55a8f', '350d6a093aba92ff', '7900bb6a5dfdbb71', '1167e6a2323300e2', '74b0451ee6b6e4e2', '4bf31225bd69a6c2']; context = [[13, 61], [97, 184], [144, 217], [33, 83], [5, 80], [65, 128], [9, 89], [2, 62], [10, 58], [121, 204], [166, 217], [15, 100], [6, 54], [41, 93], [75, 149], [17, 83]]; loss = 0.013574 low_pass_filter = 0.300
+Epoch 0: | | 30539/? [5:20:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30540; scene = ['6767915b8c05dbf6', 'ec1b8f60acabfcb8', '7bb844bf9f7ec49f', '11e361b5284ffea7', '227b7a810f607664', 'a6232f7db245d377', 'bc8eb67c9d7fb4f1', '2a10024761431c76', '23f13d65e748dc16', '55d8b80f7cc186ab', '36853991baf0f696', 'b9e587880452c81a', 'b29a314a531319f9', '26f5dd24331bae0d', 'f07a8be5e54b332a', 'dc988e289b069887']; context = [[63, 119], [19, 85], [3, 53], [81, 167], [25, 99], [36, 102], [21, 101], [2, 70], [69, 143], [1, 76], [73, 149], [29, 74], [137, 219], [3, 93], [72, 151], [28, 94]]; loss = 0.015150 low_pass_filter = 0.300
+Epoch 0: | | 30549/? [5:20:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 30550; scene = ['78ee4fc730f480f7', 'a45555d2f55ced45', '908ebbb6694782ad', 'e3ccb4844e5a7606', '29283bedb1017665', '2a581894940e11e4', 'd43eb8c08cb126c6', 'c3dba2dbc5d76fac', '21a170c902c43a97', '426b692c6b822861', '272a3dc34d7a48e3', '95149921755fb6a2', '8618897f9ed81371', '7d4444bc2364a727', '7734cecc9926f135', '09a24125f9b9fba1']; context = [[7, 75], [108, 153], [26, 93], [8, 77], [1, 75], [1, 58], [0, 73], [55, 108], [70, 154], [66, 131], [56, 114], [30, 104], [3, 67], [0, 73], [141, 212], [35, 96]]; loss = 0.015911 low_pass_filter = 0.300
+Epoch 0: | | 30559/? [5:20:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 30560; scene = ['4b1ee57bdbda4b1f', '4c206a668c76614a', '293cd4ea27b9d506', 'd3e34d281b05cfbd', 'b5eaddf4ac5c6f62', 'c7844a02eecf3a20', '3909231098c2f263', '50bb0587e8b1924a', '65d87e8dba045395', 'a230308a0397ec12', '3deda316f214ee89', 'c202eebff41099ba', 'b0549ee3eba090e5', 'a5ab3c04cadb399b', 'c33b9080e273000c', 'c3ff07c86676bdb7']; context = [[8, 59], [2, 60], [104, 162], [31, 77], [66, 143], [20, 75], [3, 72], [42, 92], [0, 49], [1, 61], [119, 205], [0, 45], [68, 144], [183, 252], [46, 103], [3, 58]]; loss = 0.014547 low_pass_filter = 0.300
+Epoch 0: | | 30569/? [5:20:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 30570; scene = ['3e46779976634218', 'd0e324b279bbf455', '33171e241ce86395', 'ecc47cb70e0fa8d8', '38940af24d34406f', '20f78881b2bb2a71', '2771edbddf64e97f', '58f4a5df0772ac3a', '1cb77660be976f6c', '17d73c13abf29259', '7cf0e738befd60db', '54e0c39079f7a30b', '994199dc3fe5ee6f', '1542b46b07997c0e', 'c6bd8d3b3367444f', '256791fc9963d7cb']; context = [[4, 71], [0, 69], [3, 55], [185, 255], [3, 59], [1, 57], [54, 106], [23, 103], [33, 80], [41, 88], [116, 199], [22, 74], [24, 70], [95, 161], [21, 72], [57, 119]]; loss = 0.013451 low_pass_filter = 0.300
+Epoch 0: | | 30579/? [5:20:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 30580; scene = ['ee89a333d4e74ed6', '9d8a3b81156d4a70', '75bc3f01387a3ce0', 'c170af5f2647cf53', '2577a62563d9e461', '19062aa8b95be419', 'b03c5e39d2fa1213', '5d09e3450542850c', '565a146a1bb89917', 'b93f580eeb0d415e', '57f766fe3879b023', 'fdee634c49f424a3', '140c3d5ef7a7552e', 'f84e10e8aec82922', '34cfc00abdcd512a', '9dcd75331e841483']; context = [[1, 74], [17, 95], [69, 145], [0, 72], [6, 81], [10, 92], [2, 57], [10, 69], [13, 92], [2, 52], [44, 126], [7, 70], [110, 195], [115, 197], [4, 55], [142, 198]]; loss = 0.011481 low_pass_filter = 0.300
+Epoch 0: | | 30589/? [5:21:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 30590; scene = ['d6e28ef7c56d3971', '8570ad9140c30a9b', 'c0cf07e5b372acbd', '1422b6d07327d94d', 'c339107ba520e4dd', '6734d3ffb326ccd5', 'e740e81d6420950b', 'befbd9182cdd0d5f', '3452de458760ac2b', '465d9493930479a5', 'b74fdbbf355d51dc', 'efb51a3671f927f6', 'e482986b21210c55', '00b31f903ceb11a8', '4e43f52092ef6306', '181c6124dfe721de']; context = [[9, 78], [5, 51], [5, 58], [59, 137], [7, 69], [176, 237], [189, 248], [10, 85], [145, 231], [9, 72], [3, 67], [65, 126], [41, 95], [3, 60], [13, 76], [6, 54]]; loss = 0.012749 low_pass_filter = 0.300
+Epoch 0: | | 30599/? [5:21:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 30600; scene = ['4b3e117d4f50b167', 'e197531346c5f079', 'df4e1717577f82c1', '913bc26ba7d3afc5', '541d8c4da94d9047', '72af17dcf2eba0cf', 'd0db77f773444638', '4b67e4f68e085f45', '4ad8aa55f3b300e2', '290127cd737563cc', '2a9ed0c8f1e73164', '023db58efffc91c6', '7b6d85d305712530', 'f6cdb8d0733335ad', '390a2ef1eccd3a2d', '10ca944ef0af4bb2']; context = [[21, 82], [2, 55], [0, 46], [131, 204], [26, 94], [18, 83], [1, 78], [27, 77], [28, 101], [25, 91], [14, 75], [123, 176], [67, 138], [65, 145], [20, 100], [7, 68]]; loss = 0.012887 low_pass_filter = 0.300
+Epoch 0: | | 30609/? [5:21:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 30610; scene = ['2cc2aeefc2ed77d1', 'f4476a9d4e1ac320', 'a24365e23632fdec', 'd12502ac93ae80d5', '4436792afd7385fb', '8e24d300a6d2e767', '12888588515acac9', 'bb3d43e57b5dff80', '08e3a573008a2c6b', '11f8143fed4a7bd0', '9a7b5d280d58af92', 'eead71c22d5913d7', '656330f47c5df010', '30d9f6321281dade', '602b198362a97b55', 'bf9ab877153afc0e']; context = [[87, 144], [0, 73], [74, 133], [26, 105], [64, 140], [26, 78], [65, 140], [69, 140], [6, 86], [27, 81], [2, 78], [30, 114], [20, 89], [0, 84], [34, 96], [34, 118]]; loss = 0.014188 low_pass_filter = 0.300
+Epoch 0: | | 30619/? [5:21:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 30620; scene = ['840a3d6dc27a4035', '077e0818ffe2cebb', '54225947c917d361', '195730230988fc0d', 'f31ba4b813b8deda', '2073f379b98e47e8', '09bc2a697a286387', '7231ba07da2e91b9', '23c1c051577af287', '0ad29fc538b4fad0', '671be2fd373509be', 'c87fa710dbf6e1e8', 'a6848c8e53f92ff3', '9af065fa0eecc6c5', '820153448a81ca35', 'fa6ba76d65250e32']; context = [[57, 127], [14, 71], [115, 167], [1, 90], [2, 56], [1, 68], [69, 140], [195, 268], [73, 158], [74, 160], [70, 123], [25, 93], [6, 70], [52, 128], [6, 52], [9, 74]]; loss = 0.016734 low_pass_filter = 0.300
+Epoch 0: | | 30629/? [5:21:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 30630; scene = ['ae5b049c5c79102c', '3cb9d9c936c652d9', 'af1d4ce35bfabca7', 'eb98e580ba1ddeb6', 'b889f9c070b7857b', '9a897c3f2fc1835e', '94b7980ddb10b79f', '2e1d57bf531fd792', '4abb7e1bbb2de77e', '0ef7876ae2f8698c', '7e93497627b7a865', 'bec2f69532514b40', '6939d2af1a9a6d4f', '37e6696196448633', '8c0eb2245b482645', 'f8c5ab198f074c5e']; context = [[69, 118], [0, 50], [25, 79], [84, 173], [1, 88], [16, 94], [68, 157], [170, 220], [7, 90], [42, 89], [125, 178], [149, 194], [161, 243], [11, 87], [1, 68], [11, 76]]; loss = 0.010964 low_pass_filter = 0.300
+Epoch 0: | | 30639/? [5:21:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 30640; scene = ['10052d72091ff512', 'eb5d56e4da7b94fa', 'b5ffcfc422dbe3a7', 'ce95e17ba7e4dc6a', '1eac98bf2c1e73cc', 'c09279de7db2ec5d', '69fe0bbf2bb24244', '14707a2c1b0fcecf', '2f1cb8a99895e3c6', 'd484fdccfb8ae744', '33fb674e0225b459', '8e2f95c6e2e99cdc', 'd64d80b0d85f497d', '0d84f49089c8d865', '185c62b6e5987061', 'b89e7d0efbb85edc']; context = [[13, 68], [204, 251], [28, 105], [18, 92], [8, 67], [16, 95], [66, 130], [8, 62], [21, 89], [35, 83], [23, 74], [57, 139], [16, 94], [3, 79], [16, 81], [12, 76]]; loss = 0.013356 low_pass_filter = 0.300
+Epoch 0: | | 30649/? [5:21:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 30650; scene = ['db9459595f461e15', 'f1a61757f68774d2', '76cad7284ada1227', '0db71132ccfdfa95', '07219a30092595a2', '947f348fccdcce56', '24b8103eb6fea42f', '03ea388058ebd7c7', 'e485bf80f9a3f7e1', '56cf9bf99311c357', 'b8bcd6af0ef63ab1', '8f51f8b6290e8f6a', 'b339af8ae4be1558', '5ceeb5c81e19c07a', '59afe8faa2f0f8fb', '534ccdcfb6aa0d89']; context = [[48, 126], [44, 118], [38, 119], [6, 58], [11, 72], [37, 114], [3, 66], [0, 54], [35, 96], [10, 91], [24, 78], [204, 253], [31, 92], [60, 127], [52, 129], [144, 220]]; loss = 0.018887 low_pass_filter = 0.300
+Epoch 0: | | 30659/? [5:21:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 30660; scene = ['88ccb97711c25fc9', '832c5a630af6b768', '16a7631f41a026e1', '00104677f98ca3c9', '854e67be5e2269ae', 'bd5ca4829283b11f', '77dfb192a7b7bb3e', '4001283461bac478', 'cdedebc7404b55c6', '8af19f867088ad89', 'f8d3ad05afe92b39', 'bb3f4b8c39aa0f9f', '8f85d318571f0d5a', 'f99052aa7f75d58b', 'ffde5ed690a9fb48', '27df26fd660056ae']; context = [[47, 136], [24, 106], [1, 55], [5, 75], [153, 220], [124, 196], [1, 75], [116, 198], [15, 81], [16, 65], [0, 66], [24, 108], [2, 48], [148, 231], [135, 206], [18, 67]]; loss = 0.011548 low_pass_filter = 0.300
+Epoch 0: | | 30669/? [5:21:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 30670; scene = ['3875459f2c397848', '4753c4d248eb1910', '065df4f6d6ac3442', '553ca05b958288cb', 'c08928bdf05b26e9', '78951deaf8c67b08', '483642b8e30a8860', 'a1990e1a1aca5454', 'a75b353e5ab44f07', '1126a0bb6917521f', '8b6ef87f30a948f0', '6545f7e52e14be0f', '7ad1956f99b8cf25', '5bddd89ef33f5bfe', '1710ca2ef5baa103', '18179ad32046b970']; context = [[9, 83], [70, 140], [10, 58], [7, 53], [102, 173], [15, 62], [1, 48], [82, 133], [2, 52], [42, 128], [169, 231], [3, 64], [88, 160], [7, 52], [37, 123], [22, 89]]; loss = 0.013083 low_pass_filter = 0.300
+Epoch 0: | | 30679/? [5:21:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 30680; scene = ['4f768e705a9c812b', '2e2d0271a792d57e', '0e9e8dd84bc136de', '76dae941ffcc3e94', '9cd0248a2fc79292', '1a0c841bd063b70b', 'db3b613d2dda8b86', '078b712f247875c4', '76ee4ae91b2d6526', 'f0f9dc20febf63c6', '26e89c85acbd3466', '2f096884c1defd1b', 'bbaf5b402a83a14b', 'a08583bd9e090720', '3520fbb46c5118bb', '7e0ba88ac756aef4']; context = [[5, 64], [131, 220], [32, 100], [106, 170], [62, 116], [0, 49], [1, 46], [17, 66], [25, 72], [129, 196], [11, 69], [2, 83], [81, 150], [36, 112], [180, 267], [0, 57]]; loss = 0.012763 low_pass_filter = 0.300
+Epoch 0: | | 30689/? [5:22:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 30690; scene = ['58d9413321e43647', '0632ca2dcb91f711', 'acb9dac24406a4af', '24f96b776969ec93', '8dd73309b133b8bf', '8bfe86b7ab24ae5a', '7f7a06bfb8de65e3', '83f9d8c6d307248a', '24cf93a2d2d5d464', '317accb265343cee', '73ecf847059621f6', '203a5fd3a45ac4a7', '1b778f72bbee1f27', '55bf44ae6e9fdee5', '6df172462e2547f2', '4d2dbe132250065a']; context = [[61, 141], [35, 85], [16, 71], [1, 55], [8, 62], [4, 49], [2, 47], [0, 79], [130, 187], [55, 110], [54, 130], [16, 87], [75, 154], [15, 101], [29, 85], [132, 221]]; loss = 0.013663 low_pass_filter = 0.300
+Epoch 0: | | 30699/? [5:22:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 30700; scene = ['33de8b8fb3ac8b4b', '1c0ca2e3cc6be372', 'bf41c96f62d20703', 'b5ed90ceb9d84151', 'b413fae69c400d34', '81bbe2b570208941', 'ca39c07d99a4404e', '0aab3fc9799f3c71', '2ea9e3568a4d120b', 'c31a1cb20a151f9f', '5dbcbba490ec1696', '008ec1473e4ce029', '0b3a912a284f41db', '5a009a925d1f7941', '1ab2513dcdc16c12', '5e18c1df1ea5fe8b']; context = [[14, 63], [1, 72], [19, 94], [68, 117], [49, 121], [47, 110], [2, 63], [0, 85], [14, 94], [11, 87], [138, 226], [14, 88], [56, 129], [190, 258], [8, 79], [52, 111]]; loss = 0.017577 low_pass_filter = 0.300
+Epoch 0: | | 30709/? [5:22:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 30710; scene = ['e4563a7b1b2d1fc8', 'f64446deef2dbd58', 'f6d42a46a90eeea1', 'b70ca8062dec1f7c', '71791474009b1187', 'b5237e6b6780cd09', '0629ed12b2911c15', '2a114e2be4a5047f', 'eb6ddf2d48914b06', '2f74b757e9ea84d2', '5a32c690eedfa60e', '4aa0b4a21c9e227d', 'f7a2600b30f6c1d5', 'd8563131cb9d153d', 'a1d25da6e5e8cfd4', '7675274ae392957c']; context = [[6, 84], [35, 101], [1, 47], [31, 106], [17, 62], [97, 157], [9, 78], [39, 95], [4, 80], [29, 100], [95, 141], [32, 79], [0, 88], [0, 47], [3, 83], [16, 75]]; loss = 0.013958 low_pass_filter = 0.300
+Epoch 0: | | 30719/? [5:22:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 30720; scene = ['bd11fed87668a3fa', '52728d137e221123', 'ea924043a3f5c5c3', 'a6448c559e58efcd', '40f3956d38d3b8c8', '0cb8672999a42a05', 'b67e1cf12fbabc70', '6a52cb11f5d3f005', '4e14d864d04b7c59', '73af5c85cde6a68a', '482c3399d8366436', '53fbf8a6adaf14e5', '6cc14bbad9b992d2', 'c4b861f9e91f63c1', '2fd89a78a9fd9404', '253d5e74a15c73e4']; context = [[48, 130], [5, 51], [27, 101], [3, 51], [46, 115], [189, 261], [0, 87], [132, 216], [1, 62], [62, 119], [1, 48], [12, 91], [6, 55], [49, 130], [25, 84], [9, 77]]; loss = 0.019664 low_pass_filter = 0.300
+Epoch 0: | | 30729/? [5:22:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 30730; scene = ['a0c40378636aecde', 'e4b7df0920724ef1', 'a895d0e5fbebc994', 'b69e804602b55e82', '1e946a362b6b9ca2', 'eed7e480a5e88553', '14865449e509b130', '049782b6f061709a', 'b41acba2fe469076', '7149c979d457b227', 'd149a09ca599abf9', '7b000f5c01551291', 'a2291f408ac147fd', '97887fa6d823f299', '31af458fd4f99627', 'e5c429183982670e']; context = [[15, 83], [120, 188], [19, 70], [6, 70], [8, 56], [49, 96], [61, 142], [1, 54], [144, 189], [82, 161], [60, 142], [197, 247], [20, 92], [1, 63], [79, 151], [0, 57]]; loss = 0.013541 low_pass_filter = 0.300
+Epoch 0: | | 30739/? [5:22:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30740; scene = ['efdff0388832c105', '48b1d1671b611893', '16e12e72b21a2645', '39ac79484bbe2f6c', '0a23beedb4f886f9', '845dddb2e014cdc9', '9911e5bd5013874e', 'd3ca9be81f2783aa', 'a6c866d1b23c3bf5', 'd4642a649788a10b', '3a2204326cfd6610', '45da746b8cb04863', 'c6b9472bf055527a', '1f0ed2f5fecc5354', '91888298fd1b9b3c', 'dfe4ad9392b42b9c']; context = [[9, 74], [121, 201], [9, 78], [49, 114], [21, 80], [15, 61], [69, 121], [59, 136], [0, 46], [29, 116], [156, 228], [4, 53], [10, 65], [59, 105], [28, 83], [5, 64]]; loss = 0.014303 low_pass_filter = 0.300
+Epoch 0: | | 30749/? [5:22:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 30750; scene = ['0664e3c7282c54cc', '700a1b4bce442700', 'a797400df9d479fa', '59fa3aa51ca62b45', '6e917f94241c0f5b', 'ccb4d1a88180b645', '9a47209ef36deda7', 'beffccdf99c76c4a', 'd5de6fbe98080f97', '0d3f7ea09377048e', 'f53a4f8312a99744', 'a0cfd29470296c90', '4cd18800aef658e0', 'f055ce777bc8abfa', 'cba1ed27ce6c425d', '1ae570de2e1c86df']; context = [[3, 75], [6, 67], [39, 100], [85, 165], [76, 124], [18, 67], [11, 72], [126, 178], [45, 135], [4, 85], [3, 57], [62, 148], [193, 252], [2, 68], [17, 71], [10, 57]]; loss = 0.015150 low_pass_filter = 0.300
+Epoch 0: | | 30759/? [5:22:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 30760; scene = ['5d69e11f2e2cc725', '7eee1debf12cbc94', '4e83ecf287dd98eb', '8618ce4c81ccd8e1', 'b38ed924082ccf02', '13ee7748984dc638', '528fa2e159954482', '07cefa8832ff7083', '06188b35381a0e26', '391850e5eb1aa965', '71abb6fe45f2237a', 'f791e9c886a4ec92', '3b261bf9b0e4f0d2', '778eb2fceced39ec', 'd2af303d9f665c72', '52e1723e3d61fe3f']; context = [[91, 147], [11, 78], [31, 105], [67, 119], [16, 105], [75, 158], [39, 88], [51, 113], [27, 113], [24, 75], [47, 97], [5, 60], [8, 88], [17, 96], [14, 88], [146, 236]]; loss = 0.011828 low_pass_filter = 0.300
+Epoch 0: | | 30769/? [5:22:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 30770; scene = ['9994269c5a207df2', 'e364559c1d25e09d', 'dfdb88c1a5ca0d75', '60bfa053d499254f', '14e2ed89ae5008f6', '421498827f9e9e3c', '06fc18da65b07b30', '9ec6a602c5bbae52', '25aa9067f42c7d07', '3dcf1ca50193e3bd', '1dca2085d171e0f1', 'd9d53f69d4efb835', 'f3177ab889fdfa01', '6002981c35afe392', 'b05e1497f499cfd2', '41e8dcaf7ef2bf68']; context = [[28, 102], [218, 273], [76, 159], [41, 122], [49, 98], [190, 237], [178, 234], [3, 69], [19, 92], [25, 107], [28, 95], [66, 124], [113, 167], [7, 71], [1, 62], [183, 256]]; loss = 0.012715 low_pass_filter = 0.300
+Epoch 0: | | 30779/? [5:22:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 30780; scene = ['bc83ee31a81e1085', '4df4c4d20a8eebc3', 'e84a982cbbbd37a1', '7dbfca931c6262cd', '9408f88181096e42', '0b82d9bc14db0134', 'f65deaed7efef810', 'ca4be403a28536df', '62ebc5baa99c21d0', '17d52b9ef4033052', '617b97ac6f2fdad8', '508e362a797583d5', 'f7da35b057f181e4', 'd9559f8d3a65cca7', 'd3565c00df307d7e', '229616382aa1821d']; context = [[9, 84], [37, 90], [12, 92], [126, 211], [196, 278], [8, 72], [3, 54], [36, 89], [7, 52], [0, 45], [148, 221], [25, 76], [12, 63], [15, 105], [1, 74], [6, 91]]; loss = 0.013503 low_pass_filter = 0.300
+Epoch 0: | | 30789/? [5:23:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 30790; scene = ['58626c3c9ecc281d', 'e5f2814df3d67c3f', 'c48ae441e013959b', '6040ec646b61d38e', '98158a10ba43e6be', '871c71dde02c52fa', 'cdd401649a7beba0', '551c2fa9249383ab', 'e4943a4bb9684da7', '5762441ec0d686e3', '11ebf927faa75db6', 'b0441fae76190daa', '3b557f99a9d78fe4', '165b60928edc5d9b', '583b68d17a2752e8', '0ad0bc5b46711aa0']; context = [[10, 95], [51, 119], [1, 70], [2, 61], [29, 99], [3, 61], [12, 101], [2, 69], [53, 131], [122, 205], [0, 64], [8, 97], [48, 118], [10, 87], [32, 109], [82, 171]]; loss = 0.013843 low_pass_filter = 0.300
+Epoch 0: | | 30799/? [5:23:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30800; scene = ['c214b28101c8c489', 'caf5b80ffb785dd3', 'ffdc1ca307b644ad', 'c3c6a1d4b69cdaf6', 'add613d689db1b36', 'd3e71bbbe7705414', 'cc1d9324e09232f4', '2a120d7433051b39', '7daa7a0f699ceabc', '883e411c844935bd', 'f713339ac174aba0', 'caa2c46d63a3171c', '5633a361f38d251b', '8b43ca18bba45f5f', '15530e3a36759071', 'dd2c46aeff6b501a']; context = [[24, 87], [152, 220], [9, 94], [39, 99], [86, 131], [31, 79], [35, 81], [49, 104], [4, 83], [59, 135], [24, 97], [50, 107], [7, 63], [0, 80], [19, 100], [14, 68]]; loss = 0.016939 low_pass_filter = 0.300
+Epoch 0: | | 30809/? [5:23:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 30810; scene = ['a52ee89267dfab70', '3880bdca1af1fe2a', '4c46369d8385c212', 'a636a0561a1dd427', 'fa9c60683a0709cc', 'e30dd877cd282f05', 'ac45b05af29c498b', 'f68d8734f10dfcb1', '3dbbee94b946daf4', '992e97dd345de84b', '378ac553caf21e37', '97154bdd471f043f', '4cb8de733f47dbc4', 'a6b82abeffecf2a6', 'e63b32dfdc4e327b', '0723036aaffa8c75']; context = [[0, 47], [54, 109], [194, 240], [5, 58], [7, 58], [32, 101], [0, 59], [174, 256], [152, 215], [92, 157], [2, 61], [2, 68], [19, 71], [21, 89], [8, 68], [156, 237]]; loss = 0.012360 low_pass_filter = 0.300
+Epoch 0: | | 30819/? [5:23:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 30820; scene = ['ef84137ab9a199c7', 'cd391aa15ffa53d5', '6a5ba78f4d0bc69c', 'e0993a60d803bd40', 'a4776e96ce74edc0', 'f82b6d49752b0776', 'dc0c9d0997f82183', 'c9690d54fb593e04', 'bc20a805c32503b4', 'dfec9688b2ba99ea', 'ab3129359d7c89ef', '0df5a048d09e63f3', '620c929fd4a8bd4e', 'd9e16fde003687b8', 'd8580e9d72ac981f', '4c132551c14e0029']; context = [[7, 65], [0, 85], [4, 86], [2, 73], [4, 72], [1, 79], [182, 235], [17, 89], [0, 81], [10, 58], [7, 59], [8, 96], [21, 81], [108, 185], [10, 88], [80, 157]]; loss = 0.015434 low_pass_filter = 0.300
+Epoch 0: | | 30829/? [5:23:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 30830; scene = ['9e86f1d5a26eb9d4', '7e5df2af98541d75', '83f4beb59ba6a404', '8be97eae2bb7c774', 'b40c0f6cb6d5b10d', 'a2e10d0073ed12aa', '06a4bfd396009736', '9c9ced8fb87ee489', 'f9cc743f6e98f656', '80564bcae125c314', '2e8464d78559e7df', 'ae26c895abed5695', 'ace9cac554725d2d', '2cd22b0b79056c47', '927078aa7b644dc3', '13b21c39447af9bd']; context = [[126, 174], [52, 100], [211, 276], [7, 58], [85, 136], [13, 70], [19, 77], [153, 206], [98, 151], [30, 84], [23, 89], [3, 48], [71, 142], [4, 68], [24, 81], [24, 86]]; loss = 0.013504 low_pass_filter = 0.300
+Epoch 0: | | 30839/? [5:23:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 30840; scene = ['ef6c3bdc8d776fed', '97202d89e28fd471', 'd2c81de826bac2bd', 'a5b0a41151c1a7a0', '47e83ec491cf4c7e', '6dfb89a98e14ca66', '795355a4fa068e8e', 'bd9f2096d355b1b8', '99a0790d72e6c2af', '95103ea68d4425d5', 'd17d6e951b1fb862', 'd73f59491df24b37', 'c639a14f7f9b90bc', 'cf40de219c17f028', 'dc82bc53272d4f60', 'a10c13e7b3ca2739']; context = [[15, 65], [69, 135], [51, 111], [2, 69], [86, 139], [36, 86], [11, 66], [4, 54], [15, 64], [170, 241], [72, 144], [17, 81], [10, 76], [51, 130], [65, 129], [39, 99]]; loss = 0.012227 low_pass_filter = 0.300
+Epoch 0: | | 30849/? [5:23:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 30850; scene = ['c60772b5e4c787e0', 'a2132eb3ce0e461e', 'a95be6b28b7e04c1', 'f1e4898999cd9c1b', '35744d288cdbb90e', '3aca1a87f95323fe', 'af51cf2b2d12d8ac', '9e8aee0addd74c99', '8f068b6892b087c9', 'af0c910f1fcfac26', 'fbc0f1f919e37f6f', 'a0f5a24c91ce699f', '0f7d0835b1820906', 'ccf5c765a64d7353', 'a350e40c8e303736', '7e493970d3c0f5d7']; context = [[66, 155], [73, 149], [0, 73], [0, 78], [5, 57], [13, 98], [178, 246], [2, 71], [21, 84], [40, 106], [81, 139], [114, 174], [0, 86], [47, 97], [121, 171], [1, 47]]; loss = 0.014135 low_pass_filter = 0.300
+Epoch 0: | | 30859/? [5:23:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 30860; scene = ['b63c52ba4af6aebe', 'cddfc6c058e71e3f', 'ac1bd9d0d0fb0463', 'b2ddb4bbf43e7540', '44004c8f6251e0df', '837ffa70d906619c', 'd40ee1fdc7b8a0f6', '8baf73d4c62c234f', '97e4cb1ace3d2389', 'ea4fd7cc97844f81', 'f91b9393b23e69ff', 'a21c7fc61430286a', 'ce3d2d997aad9619', 'b2d8fc68e6b91731', 'b70def164b856c89', '53d67e0708030be3']; context = [[0, 45], [16, 70], [30, 87], [4, 88], [164, 229], [25, 87], [1, 58], [52, 107], [2, 54], [82, 135], [79, 149], [13, 58], [55, 116], [16, 74], [16, 86], [61, 118]]; loss = 0.014375 low_pass_filter = 0.300
+Epoch 0: | | 30869/? [5:23:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 30870; scene = ['fff5c6b9222f5afe', 'ccefd472a28ef3be', '52ae99c76fa1395a', '257f25c508646b70', 'bebce31b07685d6e', '1bdb1a3b250b814b', '52060a4cb66b23b1', '1f99447fdfdf67bc', 'ed2440762b713883', '6d6b7b3c93fa9c9d', '6ebab888069161eb', '69bcf2ac9c8407d2', 'baebdb8ddcf2845e', 'd006b2a511adbf29', '420795d6a1a2af21', '06809cb52e822187']; context = [[57, 129], [0, 46], [6, 91], [0, 46], [2, 47], [0, 63], [5, 72], [17, 71], [7, 72], [105, 185], [86, 167], [71, 121], [58, 119], [26, 86], [65, 150], [21, 92]]; loss = 0.014060 low_pass_filter = 0.300
+Epoch 0: | | 30879/? [5:24:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 30880; scene = ['1f299bff774a57a9', '0bdcdb4fdd1bc2c7', 'b0466db63a8353c2', 'a4945b7f65c2e00b', '715e8695976cdb61', '5681ba36cbd7b536', 'f7eb7dd4073a1301', '8d9630d79798d048', '7f81377d11943daf', 'b8d3bc1a15392e95', '5036b3d4006fc38e', '2ce510cbb00a5b98', 'a3f4997a193d65fd', 'be8c6b7afa194fb1', 'e2ff80123009d26f', '13205ed3f8a1e6e5']; context = [[181, 247], [30, 106], [2, 68], [24, 108], [5, 72], [38, 114], [134, 213], [0, 49], [50, 132], [10, 85], [64, 131], [5, 59], [36, 109], [17, 64], [7, 81], [17, 106]]; loss = 0.014695 low_pass_filter = 0.300
+Epoch 0: | | 30889/? [5:24:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 30890; scene = ['7c0f2a743fc71eca', '1e5dec4bbf1b25c6', '61b8d6d61f125dfc', '6bea1666cf40aea2', '5ee0d7b6fff21917', 'cbc03f0f2baa6993', '9caac0a86187d952', 'b522bb9dc4bb2d45', '081accf980a4d097', '07708a3ed68a094a', '0781d28ffb7b92ca', 'de111f91de9fe294', '98585b958fdbf74a', 'f3f4ffa111e6185e', 'a3dc53d7c2c5c450', '6d4b0a0b9d2edc40']; context = [[32, 101], [105, 187], [12, 73], [66, 126], [3, 51], [1, 55], [2, 76], [62, 116], [38, 108], [90, 174], [63, 133], [8, 57], [0, 64], [13, 77], [51, 130], [89, 177]]; loss = 0.018372 low_pass_filter = 0.300
+Epoch 0: | | 30899/? [5:24:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 30900; scene = ['6a22a6e096ff4325', 'b15ffee9b3ac4313', '518690e608c9ce15', 'dea345f3faa949e8', 'ceee7306522099a4', '0d0c9627305d2579', '9866971d2e8c5e2c', '3e50cacd15b4d885', '8da64ec7f57f52bf', 'ada6f9d9f3fe99cc', '287e8342d014a9ac', '1a4a80d012518ae2', 'b42cfd929c43c488', '1c398feb4a695f6d', '5fd567371304f331', '726ae8de71330b0f']; context = [[123, 211], [122, 191], [32, 90], [68, 150], [212, 263], [1, 86], [62, 142], [1, 63], [24, 94], [45, 134], [37, 106], [212, 271], [0, 77], [14, 68], [1, 51], [2, 89]]; loss = 0.013805 low_pass_filter = 0.300
+Epoch 0: | | 30909/? [5:24:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 30910; scene = ['af5cd9d21317b049', '2427f1dce789bd25', 'e3aa1108e83ef946', '8cac5b522805ff10', '25923a5a8700f06b', '0143e8470519b0c1', 'cb12216cd8e217bf', 'b686f91c36fa4e0a', '32dd8e58c56b2412', 'ac704e6be22d4ffc', '94a0f9c12cb65e4c', 'f5760f5bb83216c4', '4666c8dbed232754', 'a6c70f7816a833ed', '6627158f8afd52d8', '8c847be312ef6f7c']; context = [[90, 163], [123, 206], [10, 55], [27, 105], [44, 118], [12, 86], [17, 80], [1, 67], [13, 101], [99, 188], [16, 106], [18, 70], [19, 90], [61, 125], [47, 103], [180, 269]]; loss = 0.015241 low_pass_filter = 0.300
+Epoch 0: | | 30919/? [5:24:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 30920; scene = ['90181a8ba6688854', '9237d0a19afbabcd', 'd0f966e06d2aa8dc', 'feaf9bdc8197aeb9', 'e8988b8e3c25d157', 'd766eac515f8c9df', 'e3b8576a277f8752', 'ff9300735daca726', '017352ea723d6cf8', 'c157b53c9746c4a2', 'fdf059b33b7658bf', '4e0c4c3f89aa70b4', 'cc4208ecbe94edba', 'f9a4941889f045df', '7b256ad1bcd23ed7', '88af122546f860f2']; context = [[10, 72], [0, 45], [3, 82], [3, 59], [2, 74], [29, 80], [53, 136], [12, 77], [58, 107], [32, 94], [177, 242], [32, 81], [1, 64], [34, 116], [14, 59], [11, 80]]; loss = 0.013646 low_pass_filter = 0.300
+Epoch 0: | | 30929/? [5:24:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 30930; scene = ['c65b6280bfb8afed', '5391dd1ba237dcae', '7c83483b90fc9931', '503d11e898c93715', '5bb9a63359cbea6b', '1fbf76f3380399ca', 'fde1265e660fc501', 'bc4ff1e97739a672', '9d91b5a77ade5f52', '5133ba1799428d78', 'e36928d0d1da0647', '6e2d5cc153138456', 'db6869ef0710842e', 'e47628dbe502195f', 'e5d01ea7773fbfef', 'c7ea4a0328a41099']; context = [[100, 175], [56, 113], [63, 126], [133, 220], [15, 62], [72, 134], [69, 152], [57, 112], [150, 227], [37, 96], [23, 109], [9, 63], [121, 179], [72, 151], [7, 55], [91, 152]]; loss = 0.012663 low_pass_filter = 0.300
+Epoch 0: | | 30939/? [5:24:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 30940; scene = ['4562dc94213cd53b', '1e08ac1071c41111', 'b9265a8827c5b4fd', '727181dcd0629bcd', 'a2c95d3d171a8901', '319cf69bc694dcc5', 'e7a937580b3b59ce', '17cddd724a293cca', 'e87116438ddd6d48', '2244902c75a66302', 'c8bf129fc5d6106f', 'a7c53beb28cdfdee', 'bb8ff7114e2e210b', '6528b83786c46e7a', '6d810108226870b2', '4aba3469d1ffa652']; context = [[6, 51], [0, 67], [3, 73], [21, 84], [23, 90], [110, 178], [93, 142], [62, 119], [126, 199], [59, 126], [131, 200], [34, 116], [44, 92], [16, 85], [12, 81], [24, 81]]; loss = 0.015200 low_pass_filter = 0.300
+Epoch 0: | | 30949/? [5:24:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 30950; scene = ['d66177b6098e0468', '22dbfd84cd374af4', 'ce9deeefe10c3249', '92a9932b7fa61527', '8970ad7f03d89ca3', 'd3d2180b3ad731a7', 'c9e4962b839dc968', '4eec80e0fb6a8ac4', '3d82d29b58bba8e7', 'ec354b701f22c27a', '66d1245890c6990f', '17643c3faac85272', '5b081cc86f2d4bd7', '5dba95b6a330fc01', '946de83b94c51090', '79a0a11487495747']; context = [[71, 147], [35, 89], [66, 135], [16, 81], [8, 98], [195, 268], [10, 57], [195, 247], [13, 70], [25, 73], [9, 97], [115, 161], [0, 67], [19, 64], [65, 137], [92, 142]]; loss = 0.013489 low_pass_filter = 0.300
+Epoch 0: | | 30959/? [5:24:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 30960; scene = ['eabfbf8e2b4ee916', '53a0c8f7a231f22b', 'e1e79fcfe1891c76', '5693b9b70c4d1ddc', 'c180b05e16a46ac6', '5cc6a2fa5f0a41a8', '082d0267663bc304', 'c5e63a8726d8d66c', 'ababe0fcdff0cb9b', 'd83adec7ec2084f0', '924c32f78e96f7b0', 'f71382a605a56ffe', 'e1114da18e84076d', '2a8b0662d3c1bc93', '3c3d4988078e1c1c', 'c2d104fe2f1fbbb8']; context = [[45, 110], [112, 173], [5, 62], [48, 109], [118, 208], [1, 47], [0, 67], [1, 89], [15, 72], [12, 63], [7, 86], [43, 128], [0, 73], [23, 76], [99, 188], [134, 188]]; loss = 0.013351 low_pass_filter = 0.300
+Epoch 0: | | 30969/? [5:24:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 30970; scene = ['0024e835f897f4f2', '1c7814ba9f2b04ab', '2885dc9b24fa2561', '444b8d72e943c9ae', '893e18b1c719af1c', '59d56f19ca77e129', '52d2d4ff1d5d725e', '43be84690d5b138a', '61b0133bce4da4de', 'b3133723f3c4e495', 'e8c4adb62705cbc5', 'cc0f96c36afc84e3', 'e61ef9ab159f696f', 'c752332e79876ae1', '1816700e1e0c06ab', '8eccb2517cf4b77f']; context = [[3, 48], [35, 119], [0, 46], [42, 87], [70, 144], [5, 59], [41, 118], [29, 97], [25, 92], [1, 53], [38, 93], [24, 92], [48, 109], [115, 179], [145, 222], [3, 50]]; loss = 0.012947 low_pass_filter = 0.300
+Epoch 0: | | 30979/? [5:25:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 30980; scene = ['f1f37eb6fba484b7', '80e84c3133ac54d0', '531e56a1ae5c1045', 'b14f549ac1e3b89c', '7a8b149bd55e3dda', '96f6f619c597029d', 'f99e55f59e21e131', '71f669a7f9590da8', 'c4c45e45795e1b2f', 'dbb2260383173238', 'c275da1b07699d82', 'e2956635b131c774', '0fa0f0288005bdaf', '4cc0a7dbb5279ec9', '33f703e24cccecdb', '0451af163cb65d8c']; context = [[19, 106], [16, 104], [50, 99], [65, 135], [11, 92], [8, 82], [2, 50], [6, 52], [3, 83], [42, 112], [65, 123], [0, 69], [64, 123], [3, 66], [109, 188], [3, 77]]; loss = 0.014509 low_pass_filter = 0.300
+Epoch 0: | | 30989/? [5:25:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 30990; scene = ['952518da70706c27', 'a0114e2b6cd504bd', 'f3892c671668deb5', '0548de5024c713a4', 'b981274d6200dee6', '1b98355278b3ca52', '1213665a8be72518', '28bb7b161e83ed60', 'aacccbcbc0722240', '98b8e9f58887b2c8', '2e9fd009632a1bf5', 'e1d6178ea1fe6d44', '1008647325f7f5b5', 'f646551e454cd501', '1c697e1b376ee31e', 'eb61796d301ac994']; context = [[2, 64], [150, 239], [95, 148], [8, 61], [31, 82], [0, 81], [7, 79], [16, 78], [0, 80], [104, 173], [8, 62], [2, 53], [0, 70], [39, 106], [11, 82], [51, 102]]; loss = 0.013215 low_pass_filter = 0.300
+Epoch 0: | | 30999/? [5:25:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 31000; scene = ['7a25f6222cff4aac', 'e50cab8f6d9117b7', '45fb1347cd3a5eff', '1b8f8a9698642eb2', '571e0a97e57417b6', '13cdaa0c54689404', '184f88882b243fb6', '3027e1f17f7891c8', 'a53e86a301e2d2b9', '739668a2e4736e71', '611e7445a2567f6c', '430406c1e2815e24', '0b2c6745daa6b386', 'b02e382c90afbda7', '90a1c5e227743bdf', '240037205a68904c']; context = [[5, 64], [15, 66], [164, 216], [6, 78], [1, 75], [132, 184], [74, 132], [138, 191], [80, 160], [114, 168], [194, 277], [110, 156], [123, 187], [18, 70], [27, 105], [47, 127]]; loss = 0.013165 low_pass_filter = 0.300
+Epoch 0: | | 31000/? [5:25:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0validation step 31000; scene = ['7c2a1a21f98565bb']; context = [[0, 72]]
+Epoch 0: | | 31009/? [5:25:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 31010; scene = ['4d1073d17ca9e1c5', '56f6e4da20a58514', 'c80549ab13e7092a', '43e43dbf5e8fbc93', 'eb77eb33005cbed2', 'd7df1174572a262b', '55a60a0830766221', 'd64c03184b6409aa', 'dc51d98d2423a44f', '3c208a2d44727959', '356aa44bcb11bfe8', '4eb9c6ad16de9754', '56eb20b2659dac4c', '80041600c276b736', '1b208861319a1255', 'fe8ae6eee5f22cb5']; context = [[32, 105], [22, 68], [0, 45], [30, 98], [67, 126], [73, 131], [45, 127], [40, 109], [12, 82], [14, 93], [81, 137], [11, 68], [3, 64], [100, 159], [61, 150], [17, 66]]; loss = 0.015897 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 31019/? [5:25:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 31020; scene = ['106b750ca62bc0ef', 'acf3b9f82ebc7233', '6b87daae30bdc6f6', '8b06e196586be88f', '275db17fba8893eb', 'de17bf629d65d90a', 'dc866e41ed3eb0a1', '0f634e30f9e05aac', '22dd62c957275918', '18a141667b659c69', 'fb8c1bfad4fa027a', 'e101281055858415', '072dda93438fc8d7', '3bae1a676986c039', 'df756e2bb1999ee7', '2ee23f8203b533b4']; context = [[26, 83], [7, 57], [2, 47], [7, 90], [36, 112], [23, 90], [0, 83], [10, 89], [0, 46], [48, 134], [0, 73], [1, 58], [169, 221], [114, 197], [78, 134], [117, 165]]; loss = 0.015878 low_pass_filter = 0.300
+Epoch 0: | | 31029/? [5:25:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 31030; scene = ['7f11c968deb89da5', 'ca90cf157ecaadfe', 'a41a1bcf7d09b4eb', 'ed3ec99c97d13679', 'd4896139155e24c5', '5054e805903470cd', 'd8f9cdd66d5a9ec5', 'ac9475b5f8128e87', 'e87019343627db3e', '31bec714e9a163e5', '890e703ff66e180a', '76754b00fc4f05cb', '5f6b16b0e97a3062', '2557d505c19c8b3d', '006f24f8fa62a3b7', '36f89cf6ea6d7736']; context = [[59, 131], [122, 187], [73, 125], [63, 149], [1, 53], [61, 116], [23, 83], [0, 61], [31, 115], [2, 56], [6, 66], [115, 173], [72, 141], [89, 139], [124, 209], [1, 91]]; loss = 0.013411 low_pass_filter = 0.300
+Epoch 0: | | 31039/? [5:25:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 31040; scene = ['e78b09abb4df5292', '7141d6c75e602276', '0dd520d7c9ae1242', '758fbb99ce75e055', 'e04b46b3d9d24d99', '64551d7f5ca63308', 'a1125de3eae618b5', '97aadc6224b10d88', '685c6554cc4ef693', '1c4877eefa482330', 'afb2f085458ef6a7', '3850b605afef4fdb', 'cbdad10abcc885e5', 'd78557c55e24d7c3', '4f5af60e4c54afa8', '3c14d04df113da24']; context = [[129, 192], [5, 81], [37, 95], [2, 79], [3, 72], [18, 107], [22, 87], [11, 90], [163, 212], [55, 107], [15, 64], [0, 65], [42, 125], [206, 274], [5, 50], [14, 62]]; loss = 0.013266 low_pass_filter = 0.300
+Epoch 0: | | 31049/? [5:25:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 31050; scene = ['9e2278190fe8af7b', '5329c1001f9e5c39', '962fdbb235e5578b', '9d3c777479478dcf', '094bd7ef0371c0d1', '92ab2d85033d3516', 'c69c0035c4a930ed', '3f6b4ace3793a901', 'bb7dca38e5482ee1', '7155dc60a6833ac8', '288582a4aeed7b74', '83383ec46d9d22ad', 'b885abe6c17070fb', 'be87d97c3c58b9cb', 'b8708a0cadea2a91', 'c6b3daa353ee0b0c']; context = [[0, 46], [23, 76], [12, 87], [30, 92], [30, 115], [17, 70], [55, 127], [188, 266], [0, 47], [15, 86], [30, 91], [3, 65], [54, 123], [12, 62], [11, 66], [34, 89]]; loss = 0.012969 low_pass_filter = 0.300
+Epoch 0: | | 31059/? [5:25:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 31060; scene = ['8c8766cf4dfe80e3', '74e40718f0ad3efd', '00dccc33a223dfb7', '3f25d85065afe4d3', 'ae9572c6433dbba3', 'dba0a82253699778', 'cf98d3219d144500', 'c20056ad4ee43cc2', 'c80ef0a44310e980', 'cb55f629c53c6284', 'ebff5d05f1bb086f', '68c7cf1b91ac3d2c', 'c28024f75eaa554e', 'ecda4da086a689b3', 'ebde7417faa1d8ca', '0fe465f3fdda5e7e']; context = [[54, 99], [8, 60], [1, 73], [204, 252], [37, 111], [22, 68], [91, 158], [30, 95], [19, 80], [24, 105], [17, 84], [3, 48], [74, 139], [14, 81], [9, 69], [40, 93]]; loss = 0.012277 low_pass_filter = 0.300
+Epoch 0: | | 31069/? [5:26:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 31070; scene = ['7ce258bba41c9244', '6f64345a52ccd198', '93138f88c119600b', 'd8d57e3bc65ad562', 'f7ae6d44685f3937', '0a6d4b1cf8a5128b', '294257960721b6f0', '638614ed5f3f85f4', '720c20829e8facbc', 'bfdad06e0239afbf', 'b11c5d0cd9af5712', '5f764e1ab65cc798', 'd7d1fe25faac6ce6', '14d2a9691dd8b061', '1c1c958dcc2f8449', '7860f8fb501c44e5']; context = [[13, 85], [1, 57], [25, 78], [111, 180], [96, 141], [4, 51], [83, 144], [7, 82], [13, 96], [1, 78], [75, 134], [13, 63], [10, 71], [27, 112], [14, 97], [48, 125]]; loss = 0.013630 low_pass_filter = 0.300
+Epoch 0: | | 31079/? [5:26:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 31080; scene = ['aa2119dec213abde', '2cd2aaca2b648073', '6e951b0c5258f620', '48cb4b29c45ecbb5', '5b8e429b24e8d836', 'f1af46c837586b6f', '4bc77c4f90bb68c7', '923cf19c6a9b649f', 'a051eeb31d760683', '6c10df89a6e8c8c1', 'a5c1c97ecddf796a', '72d6108a977fb29c', '82fc88bb5bf24e7e', '2df4ff0b8a2d4ba1', '759a73395c5c7438', '82926e34aeeddfce']; context = [[20, 82], [11, 81], [200, 276], [31, 116], [8, 53], [8, 77], [4, 49], [58, 107], [18, 64], [61, 140], [112, 183], [40, 113], [25, 80], [4, 58], [51, 126], [23, 83]]; loss = 0.013763 low_pass_filter = 0.300
+Epoch 0: | | 31089/? [5:26:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31090; scene = ['9b36e2e7093dd849', 'c10131c3fd427443', '06dde42b6d475689', '492c6c5c8c0d9508', '85c51b88719b9728', 'e3ba7f1df93744a7', 'f03956cd8007a3e1', '1292ec9d0160acdf', '2e05ffb80969b9b6', '33fd5bff0139ff53', '0a88cf91092f0725', '6d952c7bf6673b7a', 'df6f4c2bb1a33680', '04414b8a41fd221b', '5cd58761e82c1935', '6a5b0451e24d2289']; context = [[53, 138], [82, 143], [1, 56], [63, 113], [0, 46], [67, 147], [17, 70], [29, 89], [188, 248], [4, 81], [71, 148], [15, 105], [5, 82], [42, 95], [60, 149], [1, 48]]; loss = 0.013330 low_pass_filter = 0.300
+Epoch 0: | | 31099/? [5:26:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 31100; scene = ['517ab66f42f47693', '6f9bdb77b6ce8e74', 'bc2cb2d74518eb57', '7d1b94a686da6df9', 'cd0c3be3f75fe832', '6b8350934fe76833', 'c31a26091e7994c6', '6a473050226aad10', '7e190cd29a835d3b', 'a7132b7deb50843c', '2bb7057a686a9712', 'c7df59f8b9f04314', '194dfaa589c9981d', '9cd5d6eca0c0d52c', '418c839e4a5e5bcf', '6987076ea88094b0']; context = [[1, 90], [3, 50], [143, 196], [12, 72], [117, 204], [0, 79], [13, 103], [15, 64], [7, 70], [2, 60], [5, 65], [37, 88], [1, 65], [14, 76], [28, 86], [64, 112]]; loss = 0.013268 low_pass_filter = 0.300
+Epoch 0: | | 31109/? [5:26:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 31110; scene = ['ea74cb4771949789', '83b8d48dd4198ada', 'ab5ccec0f5c696d0', '2a8b384c5d8cec5b', '3cdd1f0cb282e9cd', '86706e7bcff2d9bb', '1c9964c74955e91f', '04efda28f99826d2', 'e85527fb695d1720', '57d70928e32ad9a8', '9a998c8153192ddc', 'cc48d6225f69d9a2', '7971e8a6e8b14bce', '424d637b6cc26ae1', '8871964bbb2acd34', '84e3aebc8cf7728a']; context = [[3, 48], [12, 66], [44, 89], [1, 76], [79, 131], [62, 120], [47, 125], [5, 50], [1, 66], [20, 88], [39, 117], [2, 58], [7, 70], [57, 113], [76, 132], [49, 121]]; loss = 0.011802 low_pass_filter = 0.300
+Epoch 0: | | 31119/? [5:26:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.0train step 31120; scene = ['edc53cc70788e161', '29a281fc3ab05630', 'a26506571c3951f0', 'abe2e633aa6852c5', '4d8d06f8f01e490b', '7dd74970fdc4c81b', 'b9f12695db134381', 'a4e0f20145b56429', '3f5a3f57adf8a7da', '6679f59d495204c0', '629e4849c3d26620', '08e8d767c22b2f76', 'fde72c5779d294aa', 'b6af197151ca0543', '46aef4912a548d21', 'a69c46f6bf343d2c']; context = [[4, 89], [31, 113], [34, 92], [10, 87], [0, 78], [23, 105], [4, 49], [30, 78], [47, 107], [55, 101], [45, 94], [18, 64], [60, 114], [32, 84], [203, 259], [95, 145]]; loss = 0.013798 low_pass_filter = 0.300
+Epoch 0: | | 31129/? [5:26:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 31130; scene = ['b44fe1dc4e886732', 'cfe59a85c5a0a65e', 'b526324e3d0d202a', 'd6aae258dec933ae', '03eafe82192a79b0', '105df049b267e746', 'b2f62526b84ed56c', 'c129ef95444ed6f6', '770b09683a99b6d7', 'aee99f3514cb8ebc', '7779f859888a1c5c', '7a65f22e4d3f4d00', 'f73df719b44d8e8c', '1c2d11af0b0eb5a7', 'af9fb59645cb5450', 'acfb427d90168b64']; context = [[45, 105], [102, 175], [4, 77], [14, 75], [44, 94], [55, 145], [38, 107], [61, 141], [3, 87], [0, 47], [194, 276], [2, 58], [11, 57], [37, 95], [138, 190], [16, 69]]; loss = 0.014222 low_pass_filter = 0.300
+Epoch 0: | | 31139/? [5:26:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 31140; scene = ['b9e0629edf084b12', 'd8cc6b23c3a41c4b', '1775c4b83b3abfe8', '050c893adf8f2dc3', 'e92c4e41e6dd1d3f', '6238ed8f3db76cb8', '65787cb75001c98c', '174258c0129fc8b5', '8d5adf5bb663ed59', '30140ca605192667', '182c45ad9d9feada', 'f12c89121803c03f', '18a94c6edd5c2afd', '39f62e6240930c73', 'd67a91d99f8de423', '59d59a4c05d1ad29']; context = [[26, 88], [5, 65], [52, 126], [189, 236], [19, 108], [4, 90], [110, 199], [13, 61], [2, 82], [101, 176], [8, 63], [8, 75], [33, 78], [4, 56], [103, 178], [4, 85]]; loss = 0.012034 low_pass_filter = 0.300
+Epoch 0: | | 31149/? [5:26:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 31150; scene = ['97041bbd0d7d2e61', 'a53fc0534d4a595a', 'a6cd9e57513d0f5b', '042c8ee300f52641', 'b42eba12a2d472f2', 'b1db6db47eb6c3de', 'ab835dbe3d68c7b3', 'b81d8d1868189a77', '1549c6877baaa3a3', '41eee0d73b5ea2be', '0ce3f01ab4230413', '326e42e7776c50bf', 'd91d403fb54cd658', 'd3aff83016b5e0f6', '29a03a5b3c855640', '919b825107501549']; context = [[0, 85], [9, 70], [14, 93], [3, 89], [31, 94], [30, 81], [22, 99], [32, 120], [83, 162], [91, 151], [9, 63], [4, 55], [64, 114], [0, 85], [20, 94], [21, 88]]; loss = 0.017568 low_pass_filter = 0.300
+Epoch 0: | | 31159/? [5:26:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 31160; scene = ['283d19ff3706f2b9', 'b35e0539c10c322f', 'd05500aa2ca8babc', '0d8c69adcd0525c6', '97e5fefa9c5dbd82', 'e897fa320992d3ab', 'fe53ed83c38418f9', '452ff9a3d7425308', '663665eaf88769fc', 'b9959ac5830014f7', 'c4bacb055e2540bc', '3b4451e10b79e555', 'c7dbfa49247a1aec', '7214f16379a2cfcb', '6ccc2acf7133aec1', 'dbfc3f7573753601']; context = [[192, 261], [11, 67], [102, 192], [23, 77], [36, 106], [73, 162], [4, 63], [24, 92], [23, 89], [0, 46], [9, 97], [112, 165], [0, 64], [6, 54], [18, 105], [7, 89]]; loss = 0.014582 low_pass_filter = 0.300
+Epoch 0: | | 31169/? [5:27:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 31170; scene = ['00469966d50c2b97', '0fc9811ac1011937', 'd180dea38dabacee', 'f9bb4bec1e976878', '2dd74e3af8cb2525', '9ddc79b7e796dcd0', 'af989050871d3063', '8fea0ac080588412', '5e4bf45a027dab4c', '561ec929b559f44d', '8c0b4fc8c4c2b172', '261e55c323a2b196', 'a90af48eb51bc004', 'f161b9ffac652421', '37c752b388ea0d16', 'add6967a91485c9b']; context = [[25, 108], [7, 81], [58, 113], [6, 70], [3, 64], [29, 101], [29, 75], [156, 211], [157, 235], [121, 180], [38, 91], [72, 119], [109, 154], [10, 82], [77, 149], [17, 74]]; loss = 0.014061 low_pass_filter = 0.300
+Epoch 0: | | 31179/? [5:27:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 31180; scene = ['fa1c6dfa9c92a263', '00703cbf7531ef11', '543da4cef5a596fd', '01c143c81a4d2145', 'f0dbc908f65693ae', '2d7243929156069e', 'c0580f743d41ee56', '9ce639a6cb107f96', '198f357c1ecbc101', 'f911860c36c9e08f', 'fe389d965307b43e', 'a48775c747c10026', 'c8bbc00311acd55c', '89f73665ceef8f18', '3a49221a3776b5f9', '86835c317170bf20']; context = [[1, 57], [110, 159], [0, 52], [0, 66], [93, 170], [136, 190], [2, 47], [0, 48], [105, 159], [12, 64], [20, 85], [27, 82], [34, 79], [170, 223], [36, 84], [1, 71]]; loss = 0.014246 low_pass_filter = 0.300
+Epoch 0: | | 31189/? [5:27:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 31190; scene = ['4f3be7403390f7e1', '4a609368e3b1a0e2', '9b72c44a6343236a', '15a3783a993e55a3', '661b412c0ef5f819', 'c691beea7df05a40', '1d2da5cf4b75687a', 'fafa77e0610a59e4', '3408995412c71eb3', 'f3ad8ae9b2a860ef', '62cf369611d2c493', 'e83dca98ff6fdc86', '5bab9e56ca2eabe0', 'da782b30b0b6bc41', '1eb45f47b1509115', 'eb47853e5d196bac']; context = [[9, 76], [10, 77], [6, 69], [61, 127], [1, 62], [66, 123], [114, 169], [1, 62], [28, 95], [88, 176], [29, 78], [59, 113], [87, 135], [5, 55], [6, 71], [194, 242]]; loss = 0.014041 low_pass_filter = 0.300
+Epoch 0: | | 31199/? [5:27:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 31200; scene = ['0a7e70d3efcffdf4', '5c15626ae6cec7f3', 'a584b27aef5970ad', '4280d4551eb222e3', '78a40a9f15582918', 'd66ac8e666c06457', 'f2e3320668b47961', 'a2439397e99e31d0', '6fd47cc99f6a0f43', '45ef1511dc1ec7ed', '06917002d8f6373e', '2c03b92a03910924', 'b9294eed52bf506f', '7c300b2872eeabdd', '94ddacdba86c4757', 'd7decc9863ca94ef']; context = [[83, 170], [23, 88], [5, 69], [127, 210], [1, 74], [6, 64], [3, 74], [88, 166], [47, 100], [1, 46], [64, 129], [21, 82], [41, 92], [101, 147], [59, 141], [26, 86]]; loss = 0.012738 low_pass_filter = 0.300
+Epoch 0: | | 31209/? [5:27:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 31210; scene = ['3b1f961282084e9a', 'dea99f78e85d0c68', '0d6facb9bc716765', '2cd12500e4a796bf', '1cbf1e19769304b7', 'bb8e9c543da87e11', 'b1e9f0d6cce870b9', '057f50598a482ff4', 'd3fdcab14fb08494', '03517651ba03d4c0', '0b9b11980bf84185', 'a16e0e65ec825110', 'a45e77fd35734337', '709476c26a219c69', '75c251fea8145421', '7668427812272ec8']; context = [[42, 90], [147, 193], [5, 50], [68, 114], [24, 113], [22, 86], [4, 49], [13, 89], [39, 94], [3, 60], [3, 49], [30, 87], [0, 45], [10, 63], [76, 121], [22, 82]]; loss = 0.012448 low_pass_filter = 0.300
+Epoch 0: | | 31219/? [5:27:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 31220; scene = ['116eb49fa24202a3', '683e17e57364aa37', 'c2cd9373d46a332e', 'a0cb4f222193d63c', 'c4f5ccc31886431b', '65b520324a4e90c2', '78717028e4e0662d', '1ae63bc3a928aa33', 'f2e95b4df65eabc7', 'c0dd8bc7bbbe97f5', 'cf4c9705d27edd6d', 'b0098207764e606a', '9a991195479a98af', 'b440424ef1964ecc', '4bdb75340d42d415', '3d88d591a0323964']; context = [[21, 70], [74, 143], [63, 128], [3, 76], [114, 195], [0, 71], [37, 102], [126, 178], [16, 88], [0, 78], [4, 84], [14, 96], [15, 92], [19, 76], [18, 77], [56, 143]]; loss = 0.015914 low_pass_filter = 0.300
+Epoch 0: | | 31229/? [5:27:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 31230; scene = ['e32cc05b2f418270', '0360812f602e4762', '6daafd4d74fa1162', '5ae8045e46ff2e4d', 'e9f7e73140682cec', '6eaadf5fbec73f84', '703823150f4adadb', '1fdf3f2fbffeacee', 'a5de552e69fbce79', '07c83bb5515085c3', '9bb61a9d88d791f9', 'c79896b4ed843482', 'fc7ce4aebcd1d2b7', 'b1a16d59285b517b', '40801df8576367af', '5bf54b9911827a9d']; context = [[93, 177], [54, 128], [0, 53], [81, 127], [132, 197], [75, 163], [149, 228], [93, 174], [13, 97], [24, 84], [208, 259], [41, 113], [55, 105], [0, 79], [20, 82], [2, 53]]; loss = 0.017115 low_pass_filter = 0.300
+Epoch 0: | | 31239/? [5:27:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 31240; scene = ['8e4631a328f2870b', '1a879e247676f602', '1c4574a370bbaa00', '4e701f9ac46a09c0', 'db09de23671a33b2', 'ad31341e34abed29', '0490628d2d8f3557', '02b36f4d14194586', 'f4f0f80590b5650c', 'dea9a4e4fabf9237', '47b9802e02052bf6', '804d32f6fb7a3532', '64badf7e59811e85', 'd8a6b2650e29fc3e', 'd4c1a100459f0d67', '19d3d89506b5895b']; context = [[8, 69], [57, 113], [2, 47], [175, 249], [10, 82], [12, 97], [0, 45], [0, 49], [1, 60], [51, 138], [31, 116], [202, 252], [140, 228], [13, 67], [74, 152], [12, 60]]; loss = 0.015021 low_pass_filter = 0.300
+Epoch 0: | | 31249/? [5:27:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 31250; scene = ['55eb4c5f38e2129c', '89d9ee9f99fd55df', '2f4de674cef4b745', 'c88338c9d91fa766', 'e7bfd263ace09454', 'a242058cfd9b6709', '2e559f8f3a616aaa', 'bfad3dedda5e004c', '971d809e24db453f', '89eae766d1dfa570', '75e17a6b7ef5f77d', '127ddf70a5395dfc', '7758f38825215a20', '7490a6c26e83d55c', '589065dff5861c1d', 'a4e2964058d85f34']; context = [[24, 104], [133, 208], [2, 72], [78, 125], [74, 125], [18, 74], [9, 62], [29, 84], [8, 68], [0, 77], [10, 91], [46, 103], [115, 177], [224, 277], [10, 86], [68, 147]]; loss = 0.011222 low_pass_filter = 0.300
+Epoch 0: | | 31259/? [5:27:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 31260; scene = ['8f9e37df3c8f6df5', '681093b430d94e61', '00e891ea28c4bc5d', '8a1dd68a51ac5f9c', '2d9bf0af644a4494', '4b9fd6dfd1c41eb6', 'bbc0fec7981c5124', '6cf17692440379ba', 'd344923f1a1c98d6', '4f8c73fecdab16ae', '9094f5cf4f11fb46', '055202881613c40f', '35e68001eafe0625', 'ad7947a403b94565', '16345ec2abb57861', '1359aae95ae32f92']; context = [[0, 45], [191, 259], [38, 103], [88, 165], [47, 95], [3, 56], [176, 254], [20, 87], [31, 107], [15, 101], [110, 168], [3, 80], [25, 76], [18, 86], [11, 78], [28, 85]]; loss = 0.015714 low_pass_filter = 0.300
+Epoch 0: | | 31269/? [5:28:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 31270; scene = ['e4c4cdff76559bae', '4b4099c29345fd2e', 'ec91db3a6a9c1dd4', '273484bb77be7265', '9ee685d1d7c79fca', '22930879e33707a9', 'addde38c57090b86', 'eedf58408454e55c', '128b26983c2a8c5f', 'd0f9b008f8269903', 'f6b4b22a93e98fdf', 'e75859b9da105e74', '451456d4e8343e3b', 'c2b493a3f453b580', '234e288a65e0ea1c', 'e656d52bcb246c51']; context = [[40, 88], [25, 105], [171, 229], [18, 70], [14, 68], [44, 119], [44, 89], [41, 87], [13, 59], [3, 93], [4, 50], [14, 63], [96, 168], [38, 102], [9, 74], [18, 85]]; loss = 0.013120 low_pass_filter = 0.300
+Epoch 0: | | 31279/? [5:28:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 31280; scene = ['02b09bce2ef84fb0', 'bbeb5d738b8da0c1', 'b851fee0bc2a9561', 'aba8500bf55e59fa', 'e21474479646bab2', 'e30553db7c558402', '6e246ece8fdd2a1c', '5dc3bfb193417474', '7c376693c09e694e', '1779cc65f3853e34', 'e19e727ca26aa763', '4ea37df2f9dfda32', 'bf0f4614e32aa403', '96cb00ed5d745db8', 'a7bc22395ad69b99', '979e6ee2c54274c8']; context = [[151, 231], [19, 68], [0, 90], [40, 111], [27, 84], [51, 123], [166, 220], [37, 93], [3, 69], [188, 277], [34, 110], [52, 109], [4, 76], [1, 79], [62, 116], [77, 158]]; loss = 0.015854 low_pass_filter = 0.300
+Epoch 0: | | 31289/? [5:28:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 31290; scene = ['a621cb2aed8cff41', '079dc1188ec464f7', '66fe1ff1ab2eb736', '183191ba211499fe', '6f1af1d2abf80ac8', '23d89b926a4e9ada', '42a3daae34acb6d0', '819b6af73885034e', '482b604002f1a227', '829dee1b037f367e', 'b8e76ea0476fe482', '3f62f46c54c21cf2', '53a8bb87641bd35b', '7dd4d8b4dc082dd4', 'b077b634286dbbe9', 'ba67f70b5b0ec072']; context = [[46, 112], [1, 50], [16, 98], [113, 197], [34, 99], [35, 101], [47, 106], [27, 94], [4, 84], [18, 75], [3, 61], [2, 71], [2, 92], [0, 58], [9, 72], [46, 102]]; loss = 0.012445 low_pass_filter = 0.300
+Epoch 0: | | 31299/? [5:28:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 31300; scene = ['794a33acf2a0863e', '1164f5249fa700ea', '8bc195147942ed17', '82710ae1d85fb247', '36f77b7e22d93207', '4281c9c2d1655e67', '786d4e8a8c162c2c', '6f960d30479535c0', '7397d956bf634cc2', 'af0f776720177d60', '13fd68bb0100ad1f', 'a8eca2f60796d0f4', '9eba6b410f166fe0', '0ee906cf3121ceff', 'fa35453daaa8e408', 'd31dabe7c96bc37e']; context = [[55, 133], [122, 187], [0, 63], [183, 258], [125, 206], [10, 94], [75, 152], [16, 67], [28, 115], [4, 71], [3, 57], [2, 67], [24, 95], [9, 64], [2, 89], [39, 126]]; loss = 0.010951 low_pass_filter = 0.300
+Epoch 0: | | 31309/? [5:28:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 31310; scene = ['818df63ddd1cf294', '88c10677dde7a461', '38d4b64a2c62a10c', 'c26b11aa4b27231b', '12c5cadb276b9a6d', '694c1768e5e9f5d8', '06866305c62c0d18', '39f84480b6231105', '532f708f8fb288bd', 'e703ec24bd1415a7', '4f2c5e6290da2d50', '72b336ec8447b58f', '2a556acdb9f72bf2', 'a51b49467cdf0daa', 'd7b8aa8b102928ff', '0cb2e4117ded4d8e']; context = [[14, 67], [23, 111], [25, 79], [178, 249], [8, 91], [9, 60], [25, 110], [26, 87], [76, 139], [11, 56], [6, 64], [0, 54], [89, 140], [75, 138], [52, 122], [27, 106]]; loss = 0.014977 low_pass_filter = 0.300
+Epoch 0: | | 31319/? [5:28:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31320; scene = ['6e4d322827dbfe13', 'df05970fd15dc7ea', '31512ab7aa4486d9', 'ea4dcc3cbc027917', '8cd1fe5c1d816c1b', 'ae5e5dbd9e20ddf5', 'dc5fd47e44137f59', '052b90459fc4dc8b', '6f3364f094e81f66', '7fcf8100c81fd54e', '39d22b119739d628', '0d4ef39b1c775eb5', 'a4e81bb81f7f4b98', 'dd050bfff50eb8a0', 'c26b1dbc51bb76a2', '4f7e52b0cf1cec3d']; context = [[4, 49], [27, 92], [18, 84], [204, 278], [63, 129], [4, 69], [142, 204], [6, 74], [15, 84], [18, 79], [19, 92], [18, 67], [28, 82], [58, 148], [0, 56], [7, 64]]; loss = 0.014693 low_pass_filter = 0.300
+Epoch 0: | | 31329/? [5:28:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 31330; scene = ['a18518483973d59f', 'd4a37e11eadfc95c', '252a4d522d463417', 'a56e2c19e91b75a5', 'd11ebc30ee032c3a', 'c8481d33beda214f', '9b73ab94b5c43711', 'beafcc712b6557c6', 'ee4dcc640af50e65', '7430821f0f20c61a', 'd86e6cb9723a1c4e', '63232e078598c9c8', '3fd37c92837271ef', 'b2789c1a5c127a02', '36df585860d0ad88', '013ec74a4fde6737']; context = [[78, 128], [13, 95], [2, 59], [25, 86], [16, 67], [74, 152], [11, 56], [22, 78], [10, 74], [0, 66], [18, 78], [3, 61], [1, 67], [16, 96], [119, 188], [10, 60]]; loss = 0.012075 low_pass_filter = 0.300
+Epoch 0: | | 31339/? [5:28:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 31340; scene = ['51867713f952190c', '3aba94892a572bda', '7b0ef31a4906b4a4', 'cbb41882beb54a0f', 'dfd7cac24b2e6d3a', 'e4a4b2fb769796c2', 'fdb6fe07b7177854', '70e9cedc1b651390', 'd1a73fa57779380a', 'de1cf9fef80fbf69', '43e95798af7d674d', 'c5b2633bd3f5d7df', '0e2e11032cffb1c0', '45575e929ef4bf66', '81eeb2cbf825a1c1', 'db8d379419e62978']; context = [[5, 51], [0, 90], [63, 111], [58, 128], [0, 45], [120, 172], [85, 142], [11, 86], [0, 46], [5, 80], [208, 278], [83, 162], [11, 63], [29, 115], [25, 109], [5, 68]]; loss = 0.010993 low_pass_filter = 0.300
+Epoch 0: | | 31349/? [5:28:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31350; scene = ['6e2c73ab63bf5e87', '1b7697fd8dfb8717', 'c6c0e46d5daafd20', '3536319c169d43c0', '081919bf31bf790c', 'bd242939c1449d8e', 'ec56ecaa7be14db0', 'baebb7f6b21b1b2d', 'b18ac63baf4baee0', '07a7501a512358e1', 'c85ef98584c441bc', 'd4cbeb25474a17b7', '46ea38e907a53781', 'b4e19294cf3e2116', '35c70af801116b59', '392052b37ba1b434']; context = [[17, 76], [18, 65], [34, 85], [5, 78], [43, 97], [15, 63], [144, 203], [30, 99], [45, 102], [147, 228], [49, 128], [48, 112], [0, 61], [110, 170], [15, 79], [87, 174]]; loss = 0.012661 low_pass_filter = 0.300
+Epoch 0: | | 31359/? [5:29:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31360; scene = ['24f52069374690ec', '583a75fc7dfc9646', '5ac68ed3c743a13f', 'c8b3d5499b72fe01', '46f3117269dfdd6e', 'cedc14f5a00e8684', '5d69ea23d051f39e', '8f8e2d8cc64a1bfd', '3f12bf81c27b8653', '92cd6a7458388c37', '5aa152c82cc18fc6', '292a5b35c55aa177', '39b91ce342618b5e', '359f7d0c8992f78b', 'eaa9b4aec449fb58', '254fbbf772a841fe']; context = [[0, 45], [1, 49], [164, 247], [21, 81], [174, 243], [3, 70], [51, 98], [1, 58], [16, 70], [44, 118], [163, 211], [50, 100], [183, 235], [191, 247], [7, 97], [28, 85]]; loss = 0.013820 low_pass_filter = 0.300
+Epoch 0: | | 31369/? [5:29:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 31370; scene = ['a8fef8171c682115', '0fd2cef4d2e1f477', '243fb7e3a764ccbd', '69bc2962a9ea0f51', '62cbefbb22a48c55', 'cc45417d1c5dab8d', 'd3895c7d9c03703f', 'e92d17d3398d0a25', 'ccf92c6ab0aa91b6', '4d999bce04f7516a', 'fcf0dfa30f82d161', '04528668e1c60664', 'a73800e25d3adc8b', '82359e18b76a3634', '8677be0fd77ef664', '6e269cfbf064b6a5']; context = [[1, 56], [12, 75], [78, 135], [13, 74], [33, 78], [50, 129], [4, 57], [87, 172], [19, 71], [25, 102], [2, 92], [67, 153], [6, 63], [0, 54], [18, 71], [143, 202]]; loss = 0.010703 low_pass_filter = 0.300
+Epoch 0: | | 31379/? [5:29:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 31380; scene = ['ccd62a307aefd240', '307e37fdcb1d2a6f', 'e47e4551589a610a', '3f732b63cdd0729e', 'eee7f5a14669978f', 'fa79f3c0a4bd7831', 'a258b0a7fc06973f', '1f6c1a3883b3f248', '9c3219b690a43016', '47bfcaecbdf0a8ed', '7cfc10868e12e5e9', 'e66dfa75f4d95572', 'e96c45af9b5f53a5', '58227d331b12af03', '15f4f8827060500b', '4fc168d5b9eee7b7']; context = [[14, 77], [1, 47], [29, 90], [0, 46], [126, 201], [61, 144], [11, 67], [135, 211], [3, 53], [109, 195], [10, 58], [21, 108], [2, 47], [6, 54], [147, 212], [6, 61]]; loss = 0.013367 low_pass_filter = 0.300
+Epoch 0: | | 31389/? [5:29:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 31390; scene = ['408705a2124e3533', 'ff6ec5c910457526', 'f43d9c037fdf76bb', '1e79cfe6fe00649c', '00236fcca80c95a0', '5558afee288fc86d', 'eaa29049e6fb86de', 'ebf1ba56fafa1d76', '813fc05653ddb0f1', 'a97bc33dcad99933', 'b1c71220312bd8d7', '68a85b63caa319b4', '06f73e2d9a53a6eb', '9eb1cb80a1e94817', 'e465c16e4ba9fcb8', '3685bb1168fb8031']; context = [[57, 111], [12, 76], [31, 105], [1, 85], [24, 74], [80, 125], [6, 74], [15, 97], [43, 122], [25, 90], [1, 54], [1, 63], [86, 142], [3, 55], [19, 76], [60, 138]]; loss = 0.013310 low_pass_filter = 0.300
+Epoch 0: | | 31399/? [5:29:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31400; scene = ['eb9d12af69a04dfd', '733302d441595cb5', '876a778fa507f286', '2243fcc1f63bb6ac', '57d7f0073d2e9bbf', '8ca93cee3643af00', 'a4a490eade2a8afa', 'a3af37daf8b5c893', 'cb588f2847ccd105', '1979f7ee0cc2bf8b', 'eb0e080dec6bd224', '2d951f33f4de4328', '7f2a99f4ff231259', '1a7a5a79765ed74a', 'a0000f5404d82f80', '2e650237ca8d6693']; context = [[82, 131], [145, 233], [1, 53], [116, 173], [3, 67], [20, 70], [0, 87], [1, 46], [112, 180], [25, 80], [3, 93], [14, 72], [0, 70], [20, 70], [49, 114], [26, 82]]; loss = 0.012766 low_pass_filter = 0.300
+Epoch 0: | | 31409/? [5:29:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 31410; scene = ['591324b1a786d91e', '8f243526414052a6', '04740510b6d96720', '7d81b28b7afe5738', '1cacfe69c509febf', '2765f5d2bd45f599', 'af9f9ef0469ba964', '6b93a9fa1ce08986', '6e024fbe00be60cb', '9c36d2598d7e13cf', '06fa105dc99b1146', '792c3b369bcd98f6', '71843154fd778989', '847f9e4b492c7a50', '2e72193bbf197bd5', '9c72bd16d6b22437']; context = [[26, 93], [107, 170], [18, 67], [166, 236], [4, 87], [37, 98], [10, 62], [5, 75], [43, 101], [6, 74], [9, 58], [4, 85], [3, 50], [12, 60], [83, 133], [8, 72]]; loss = 0.012858 low_pass_filter = 0.300
+Epoch 0: | | 31419/? [5:29:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 31420; scene = ['e6f6e305abdcb9b6', '5ebe660bb6dfa7c6', 'c7515b2d8304ab3a', 'e69daba3949f3936', 'bca125d17728c7b7', '9badf4ba1f34f120', '3410860af4c5cf8e', 'e048704f3f590ba8', '49cf65f63721a3ea', '240199c68e19e362', 'dd0635f073625657', 'bb4a8f32e82e7faf', 'b239e4af87eb8638', 'b4bde0068fe7af28', 'ef8677a5404a270b', 'a26a41da71dd633a']; context = [[21, 89], [6, 70], [37, 84], [16, 100], [2, 70], [1, 47], [57, 142], [143, 225], [93, 143], [0, 50], [53, 134], [57, 128], [90, 140], [6, 80], [67, 121], [164, 212]]; loss = 0.016173 low_pass_filter = 0.300
+Epoch 0: | | 31429/? [5:29:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 31430; scene = ['b5ad26a8022c7109', '109b0c162bd046b5', '3b0242b4bad31b9a', '656455571d1a56b5', '55ff32060bfc093d', '3c11cee85e2aa1db', 'b24d544fda152e5a', '84b45eaab0e1a392', 'e5600b21d39ad14c', '49332a47b7d84230', 'b82600c38de99d99', 'cd287f0455859191', 'b841baba38897507', '7a0eb41a0f19e724', '436d7fa2beaa7ae8', '224cd9063e37816c']; context = [[10, 56], [23, 69], [48, 108], [26, 90], [147, 197], [39, 89], [99, 147], [55, 143], [0, 53], [52, 114], [0, 52], [210, 263], [13, 74], [23, 108], [5, 51], [117, 199]]; loss = 0.015053 low_pass_filter = 0.300
+Epoch 0: | | 31439/? [5:29:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 31440; scene = ['7acc18a56014e4e4', '6ef01df67037acfd', '35e11db0cf40a795', '9879138aaa36c6f2', '1a2e563e6ba8087c', '7875a6298c422059', 'bbffc282206afc6b', 'b63cad7b45c0eba4', '9cfacf288722db29', '946d83a6f9a836d1', '99eef5cf98ab7069', '0d887d19d7212540', '11321c28beefd319', '50c8a233bd82a613', '42ffa402b6042d38', '7bd046d1c835a96a']; context = [[103, 151], [5, 80], [36, 108], [2, 54], [122, 177], [138, 219], [7, 61], [39, 124], [76, 145], [27, 101], [15, 61], [0, 51], [13, 64], [35, 97], [37, 97], [77, 153]]; loss = 0.014291 low_pass_filter = 0.300
+Epoch 0: | | 31449/? [5:29:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.0train step 31450; scene = ['46e26d9e4f7a217a', 'd0a74bb17c56c058', '8a884829ae8e2686', 'c75420132c9168b5', '5b64b5760c7503f3', '58275614cf462346', 'dd086087400ad408', 'e100c11918671a33', 'e54719c9dbecbac1', 'c7afa69038025a01', '4891a508d7a3262f', '56a3cab917fb2f23', 'cafb5c4d141984d0', '231b81fe05d87e31', 'd412ad2f6f4b6e07', '0bba94b8d4c22eac']; context = [[10, 82], [5, 66], [1, 89], [15, 101], [5, 68], [64, 118], [5, 73], [4, 72], [20, 74], [4, 70], [125, 207], [92, 145], [96, 164], [0, 65], [10, 73], [3, 82]]; loss = 0.017446 low_pass_filter = 0.300
+Epoch 0: | | 31459/? [5:30:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 31460; scene = ['e1475887269ba0a3', '693d722638a2224d', '7a25ada1841b7ff6', 'c05d8cf8670ab48c', '15ad28d8b49e49d5', 'c0f2f342a213de80', '2e13acc64828de67', '70db603854f2299a', 'e71b3880b9c83ebb', 'de96cee44a164178', '69527b537b77e803', '6bf7ab3fde3c1c14', '58de4f6887b1c21b', '4c348950840d382e', '69ae4d9c04b6847f', '64626bd202f2254c']; context = [[67, 138], [201, 250], [94, 157], [35, 116], [5, 89], [7, 75], [64, 118], [30, 93], [57, 144], [113, 169], [67, 122], [185, 274], [14, 79], [177, 237], [33, 108], [36, 94]]; loss = 0.016882 low_pass_filter = 0.300
+Epoch 0: | | 31469/? [5:30:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 31470; scene = ['59d290f1ca0b1a89', 'a832d41d446631a5', '8c40e162a6c8015d', '4b0b0606c0815dd0', 'e5251115011169b1', '24539d9cb575945f', 'b7d77240852d6a52', 'b81b5b28aed15a63', '15a6506c1c89699a', '0a2b42e240751d33', '53adc3b61850eaf2', '0ad311b66ea61e62', '08f02e7ec7dd69da', 'ef37be4851962545', '37d8d38f0ac90651', '809658c303767e17']; context = [[55, 137], [187, 243], [0, 49], [23, 68], [12, 62], [27, 97], [12, 68], [0, 84], [17, 86], [12, 70], [8, 94], [6, 59], [30, 88], [115, 192], [11, 59], [15, 75]]; loss = 0.014222 low_pass_filter = 0.300
+Epoch 0: | | 31479/? [5:30:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31480; scene = ['f8ee5a395e856a9d', '60a584cf224950a4', 'b5f39f444ec03cee', '7c6d160c26de6887', 'c532c6f1dbe975b7', 'c0e9d9f4f60169e0', '34037b62eef60172', '9afdbb292342952d', 'c38835db6bec2825', 'a9c6fdf06c6b4216', 'b86f88d0d21318cd', '373ce003d1e0bdb9', 'a62bd02a1223b0e5', '72edfad4ab7268f2', '625ef197fa165c4a', 'd2443f80e34394ff']; context = [[21, 98], [0, 80], [6, 83], [191, 258], [7, 84], [11, 79], [18, 78], [2, 74], [23, 96], [0, 45], [9, 91], [12, 97], [51, 119], [29, 96], [39, 111], [1, 46]]; loss = 0.013809 low_pass_filter = 0.300
+Epoch 0: | | 31489/? [5:30:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31490; scene = ['e3d968a3356efffe', '786b8fe10a1011fc', '8b4e816055908df8', '796f21c742920e47', 'a8f7946996aa6d67', '17078e61ee975a4c', '169f09c33ee35289', 'a5c03b0c5fb7203e', '08037bd2a08cfbcb', '50c5d11d48ce6ea3', '13ef9d843af0eb46', 'da622e4400f54e54', '42a6c835ff830674', '27c7362a27f418ef', '36f938158d4cde4d', 'c6ff95c0d520def6']; context = [[62, 128], [56, 108], [3, 56], [117, 207], [35, 91], [4, 53], [51, 126], [44, 120], [2, 62], [16, 73], [23, 85], [5, 61], [18, 85], [38, 120], [98, 156], [12, 99]]; loss = 0.018225 low_pass_filter = 0.300
+Epoch 0: | | 31499/? [5:30:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 31500; scene = ['e35fc31cdf5f6b0c', 'da476b8013f67e79', '479612e3e7aabf48', 'e6f7b434df9bfccc', '9ebfae382689a320', '21f480a187d23bc0', 'e9f4aac949620b61', 'b3259b93d42302e4', '02974a46356730d0', '68f5ab96d4cb103f', '2ca282700e445fed', '0de22e4f66f408e2', 'e2cf4585a4231b06', '8d9ff5cd908a6c41', '8f05895cb146fc2a', 'df378b8aa82b58d8']; context = [[43, 100], [33, 89], [0, 89], [84, 153], [216, 262], [10, 65], [42, 88], [55, 115], [24, 84], [106, 172], [3, 51], [73, 131], [172, 227], [0, 60], [23, 70], [0, 45]]; loss = 0.015541 low_pass_filter = 0.300
+Epoch 0: | | 31509/? [5:30:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 31510; scene = ['3c811ca3025087b3', '386edda973505b9c', '0f7730277fc0ed26', '4d5b72274eaec273', '95369acfcfef50ff', 'ed220a707d68db77', '679a64c4eda65773', 'f051690686b5b142', '55cb8a9f50130a75', '6cda38bbc58eee0a', 'f3ebd453f8541b61', 'f3c1df5b25d1c59e', 'a96381eb42710431', 'abe11b1e3b8d6b61', 'c3caff907bac80bf', '33bc577abb7897e2']; context = [[22, 88], [30, 79], [14, 78], [23, 91], [38, 107], [25, 74], [21, 84], [30, 120], [20, 83], [5, 73], [193, 242], [0, 60], [22, 111], [27, 116], [68, 137], [21, 69]]; loss = 0.015733 low_pass_filter = 0.300
+Epoch 0: | | 31519/? [5:30:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 31520; scene = ['4cc51b0c47a5a35e', '5e33c1c7f3b83d5a', '52ff1527be8e29e6', 'cbd915620f0b433f', '69d22c7380fd239b', '69339ee6456a0143', '92ceaeb1a468d035', 'a3533a684952c955', '24047ba1e8c26ad3', '367ee8b3b9283089', '35a1d6a63d799324', 'dad1cefd696020b9', '615cd9e7f782afcd', '3b8a0737368f9f1c', 'd882246c1d9a46cd', 'd2b88190a4874f43']; context = [[72, 143], [23, 71], [1, 52], [80, 139], [9, 86], [21, 111], [0, 89], [2, 59], [4, 50], [54, 113], [2, 74], [101, 148], [1, 52], [1, 49], [83, 152], [9, 72]]; loss = 0.014632 low_pass_filter = 0.300
+Epoch 0: | | 31529/? [5:30:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 31530; scene = ['296f8280d8af193c', '57ee1cea0284514f', 'bd695f52931a2fc2', 'b0c532bf94eeb726', '8b9a04c6ae39cd63', '14467edbc6b3c25b', '09f01ea6da02863d', '1808b1a7f1c93d66', '2595d3a0144c9949', '7056fe2a3c1ebe7d', 'ea8d853b968e25b1', '80bdd8d93d4fb6be', '5140967fcd51092e', '1236c1b15bc5f11f', '08234c2181c4db46', 'e8674463d514e8a5']; context = [[100, 162], [24, 70], [1, 90], [151, 237], [10, 79], [41, 109], [12, 71], [96, 173], [1, 62], [42, 99], [6, 88], [15, 103], [87, 133], [99, 148], [51, 122], [174, 238]]; loss = 0.013616 low_pass_filter = 0.300
+Epoch 0: | | 31539/? [5:30:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 31540; scene = ['8d5108cb85063926', 'cf3981617a02f011', 'fdd6f733114f15e6', 'baac8918f8a08b46', '632cc28686be687e', '568996052f219114', '32761da4adb41371', 'dcac43c04eed0d13', '26021386e06aa625', '650463c0a23b644a', '155bc9ea0b7045f3', 'b65863a15772e174', 'badfbbffd848f701', 'b9cd0f2e9e584e51', 'eba25d15f8c70f0f', '60fa6d93cc1bdfd8']; context = [[1, 54], [123, 178], [11, 60], [3, 63], [0, 80], [3, 69], [19, 69], [112, 201], [0, 51], [5, 51], [51, 119], [119, 199], [0, 53], [20, 107], [27, 93], [0, 47]]; loss = 0.014623 low_pass_filter = 0.300
+Epoch 0: | | 31549/? [5:30:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 31550; scene = ['b9f927ecdb655d3e', '1b382b1f7dba4c20', '9fe86156f3b4a471', '657bd399aa3cb0c5', 'ea16bc8da14dfc20', '6e3e003c08484cfb', 'dda911b9301b1e5f', 'c2d40b68043e98d5', '4267e41843e92621', '3eb88834d1d10dbd', '1b046ac48aff103f', '91e35e7d77764a38', '333819a55992b14d', 'd928ee1aa1bf62f3', '3695468b2f5abca0', '954085ee1bd41d21']; context = [[122, 178], [37, 102], [106, 180], [116, 182], [78, 166], [15, 78], [24, 103], [1, 88], [37, 86], [24, 101], [1, 57], [101, 173], [2, 84], [117, 200], [17, 98], [47, 99]]; loss = 0.016028 low_pass_filter = 0.300
+Epoch 0: | | 31559/? [5:31:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 31560; scene = ['c38c9d83c7aa6296', '744107cf635331c2', '0d98f880b82f6094', '7a90bb3eba5b8c36', '87cd1bb894c62dea', 'cc52a27f64bc5926', '5d1d241eff27b366', 'af65d45e8c4ec7c9', 'ded5921ca8425877', 'c78ce40558566d2f', 'e3f84dad1f6243c3', 'd0c4d276f17ee036', '2dc43f42dfdc11fa', '6bde4ac110c7cd00', '313a0f83a6b8f781', '54ceb9c78b58f3e0']; context = [[22, 104], [4, 61], [1, 70], [3, 84], [129, 217], [81, 134], [219, 266], [124, 186], [27, 84], [105, 151], [11, 100], [0, 85], [61, 119], [46, 92], [173, 260], [1, 46]]; loss = 0.013838 low_pass_filter = 0.300
+Epoch 0: | | 31569/? [5:31:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 31570; scene = ['f2dba64ff1487950', '16a7956106ee0210', '56df2b5ce47f0951', '2bfceefcaa20c792', '11a798a3ebe14f34', '38ef103307ed01d3', 'ea05946378cd50af', 'df1a72c79851ba7a', '8164609826cc1a78', '41abf1d5b41a3c69', '07f6c4a1f6151dca', '0238a81e9b06b43d', '97afea72df28d768', '8317a2305e9a91dd', 'fbf477cf0b0e6624', '7f1a1335ce6a370a']; context = [[37, 107], [8, 67], [59, 104], [55, 125], [154, 233], [105, 159], [126, 194], [41, 110], [138, 207], [26, 103], [28, 74], [10, 74], [22, 110], [4, 58], [45, 108], [105, 194]]; loss = 0.012691 low_pass_filter = 0.300
+Epoch 0: | | 31579/? [5:31:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 31580; scene = ['e28c8bdcaab414b1', 'b6f834c92ae6bc5b', 'a6b52aa31f9e8699', 'ad439927c0cf70dc', 'd18790effa088d4a', '40da14eba717a7c9', 'c66aaa5ea5543880', 'c4005922f59686ae', 'ed8272185c1ac2e0', 'f024a38fc8e4ec74', 'b1b8e8c88721bafc', '64fa28b2416a6a38', 'ba299e06f2eb6d9b', '81a3f8a8ce79a059', 'e32356ddcfb80246', 'e9409f501f1b6346']; context = [[10, 99], [3, 61], [123, 181], [5, 75], [66, 141], [163, 228], [0, 87], [16, 82], [68, 129], [75, 142], [16, 72], [2, 72], [8, 64], [5, 55], [13, 87], [82, 137]]; loss = 0.015496 low_pass_filter = 0.300
+Epoch 0: | | 31589/? [5:31:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 31590; scene = ['cde9a6374acd65c4', 'a18518483973d59f', 'fea578cc66e55e82', '205d8b2ecf1e49ae', '86c67555e3f5eeac', 'b2d4b9ea541e9f37', '1cec8c9926ac8fd1', '3a2d10fe0a31c3ef', 'd5dba29fb7878ed2', '0a122b58459fefd6', '16f0711b435aab69', '56406210e0513f9e', 'd8373137a11e4c9f', 'b23c3e353098796e', 'd9ce9620cf31e776', 'dfc00f3016d34131']; context = [[5, 93], [30, 114], [157, 206], [42, 91], [50, 132], [116, 201], [0, 50], [187, 253], [118, 181], [2, 67], [104, 180], [157, 212], [19, 76], [83, 129], [4, 65], [32, 78]]; loss = 0.012950 low_pass_filter = 0.300
+Epoch 0: | | 31599/? [5:31:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.0train step 31600; scene = ['e82135c2c337329e', 'd2d57bc79a24b563', '35b17517c1bcd92f', '4b2b30ddbaa7cb68', '5d3f4c9049fd06a9', 'f2515e134d1027cf', 'b168081841cefe4c', 'e78698cd2b50c654', '91d676b42db66474', 'a072787f8ed2b284', '56ea9797a0304222', 'a4692fe78214292d', '09df5bddb6feed59', 'f009e031239b3788', '2869815c7a8bdd9d', 'b05542bd675891b7']; context = [[108, 189], [140, 187], [32, 115], [2, 58], [106, 160], [2, 64], [89, 166], [24, 94], [28, 93], [13, 86], [48, 105], [1, 56], [87, 157], [164, 215], [8, 55], [5, 69]]; loss = 0.015195 low_pass_filter = 0.300
+Epoch 0: | | 31609/? [5:31:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 31610; scene = ['3df9d0d002a0a0c0', 'fb32c9eb51209279', 'c2e24813705c3768', 'd78319cea2d2f267', '4dd1e7636b5fbf13', '132dea1279481222', 'e99bc2b58b6f2ccd', 'cc1939ad78497c14', '0a004eb4d08f31dc', '97fa7a9fd6aad458', '4ca3eaa982403fcc', '95f2be7bb8303f50', 'e0f556cda31cd789', '20b47c73dfa8ad75', 'f022925fbe756dfc', 'dfd10e28913ac338']; context = [[48, 122], [50, 110], [21, 96], [18, 79], [28, 99], [19, 72], [4, 52], [1, 53], [8, 56], [61, 133], [7, 90], [8, 84], [17, 105], [11, 59], [3, 81], [0, 49]]; loss = 0.011908 low_pass_filter = 0.300
+Epoch 0: | | 31619/? [5:31:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 31620; scene = ['91a724f60d697eff', '4886ce15c821b292', '43668ae8f0e517be', '5e70f8dc0da2945f', 'c279649ebcdbd4ac', 'e1b0771ca0e3df03', 'c7ee25903806290a', '865900d9c2b663c9', '174ececf4806c75f', 'f7c53a68d68875f4', '001573921974bc70', '9b2b777203c485b2', 'e3e576f5e8270112', 'be1357905deb4c72', '49952f737be91dd2', '2a569041a6d85d9c']; context = [[10, 63], [11, 97], [23, 89], [19, 71], [0, 75], [10, 58], [185, 252], [115, 202], [25, 80], [97, 167], [127, 199], [66, 130], [6, 68], [24, 75], [134, 182], [78, 146]]; loss = 0.013715 low_pass_filter = 0.300
+Epoch 0: | | 31629/? [5:31:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 31630; scene = ['dc3fe6f0dd9c89fc', 'bec5fda37134a938', '82ede6655dea491c', 'b98dd6d8995428d5', '5305a24c870a0eda', '1e088f1e02f4fc27', '1f8678091e653a51', 'c56a58f09e4b6e88', '32d2ac72c9edfbf3', '6ae24966d1f85a21', '25b1bf23672016bb', 'f821abf27153e65e', '0df3aa54019f7377', '965f4c3a2e84ecc7', '2805a4d6ca7fd6d6', '278a52723c725e85']; context = [[46, 91], [12, 91], [11, 62], [0, 78], [46, 130], [28, 114], [76, 136], [4, 70], [0, 63], [63, 141], [2, 70], [2, 48], [35, 84], [1, 58], [93, 160], [8, 62]]; loss = 0.014917 low_pass_filter = 0.300
+Epoch 0: | | 31639/? [5:31:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 31640; scene = ['c43469ca9350d88b', '2813e378279c4fad', 'c5f9ca57f5873e3b', '24ac625c8f95dd37', '3fb2a360fe3a0dd2', '2f321a2fbb58cb79', '399b6534f47214c2', 'b71fbffa97db928f', 'eec5b25d9b090878', 'be15a3c0fd266f0f', 'fe469a7381a1276a', 'fe1b841e883993c6', 'a54adeb03c0e5f48', '458af535dfa1b0b4', 'bbfeaf1a2a7d4b40', 'e4127b01ba04fbe1']; context = [[13, 66], [39, 95], [184, 271], [6, 73], [111, 182], [30, 108], [105, 150], [29, 86], [14, 66], [9, 84], [5, 68], [20, 77], [29, 116], [21, 95], [50, 124], [4, 60]]; loss = 0.013795 low_pass_filter = 0.300
+Epoch 0: | | 31649/? [5:32:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 31650; scene = ['c9e55a597e009625', 'a3427e7e23a23b2f', 'e3d91a909a078c6c', '2c530bc6a41e5488', '5df49d0775250a66', '37e479a89290ae52', '83638041d9f72afe', '215185a803534ca3', 'a11541e3f9ebccd5', 'f32c123eb81c5f5b', '2c2bfbbf301cfd33', '7ab6a3bfcbea506b', '699a84e76fbb34d7', '667e6be27bbb7fc9', 'f6d3ecda8aa336f1', 'c7170f568d2bf772']; context = [[143, 220], [15, 88], [28, 107], [19, 106], [124, 182], [24, 72], [95, 157], [150, 209], [27, 94], [42, 118], [5, 79], [2, 56], [48, 100], [89, 154], [36, 95], [12, 77]]; loss = 0.014315 low_pass_filter = 0.300
+Epoch 0: | | 31659/? [5:32:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 31660; scene = ['d1020d9c47561aa5', 'f35908d1ce4c1379', '110ec70576091e1a', '228eff5991c31dd4', '04be1c0ff5e62811', 'fc2ed3a915ad98a9', '2d6bd788c7a9e7b9', '2b63dc474251e9fd', '9e1d6f2502c05044', 'b879c79a9c46e9c2', '72eb2027396a78a5', '66423787a1b22e65', '4aec5927198a97da', '773672fa68feb0e5', 'a5f7d3b8bbecabc1', '64b638b1acb1c95b']; context = [[169, 225], [7, 73], [16, 97], [29, 112], [32, 94], [8, 67], [108, 164], [17, 69], [17, 72], [36, 87], [1, 83], [4, 50], [59, 105], [29, 79], [8, 94], [63, 137]]; loss = 0.013980 low_pass_filter = 0.300
+Epoch 0: | | 31669/? [5:32:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 31670; scene = ['fcb413f38f92b6c5', 'b03d89cc131c1190', '9e708516e675aac8', '735fcaf54d862f4a', '7381859e0402b9c3', '806a555f5662a925', '1e8e5907c1591237', '461da10f92abba44', '13c4bd0174999ce5', 'a8db915ffa216faa', '4aafadcab6b1a13b', 'e3a0600c1b12486e', '4b6ea7c9165dd9da', 'c2d9626e25b514d2', '76961871aab14991', 'e7716c6defeee60b']; context = [[12, 91], [2, 61], [53, 117], [1, 82], [6, 87], [21, 104], [13, 103], [30, 95], [1, 75], [22, 95], [92, 139], [26, 114], [57, 103], [35, 98], [117, 178], [0, 50]]; loss = 0.014005 low_pass_filter = 0.300
+Epoch 0: | | 31679/? [5:32:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 31680; scene = ['b558921c63e1d156', 'da458b177cc5b2a0', 'c2b2d238f9214068', '83496ae8367a6c96', 'd4bd2dcc63c5ea54', 'e3e252f0494ff061', 'c2d169718514f0a8', '1250e0831ff05593', '623e9b4a6f37f93c', '3c9ad99cce6558da', '7f8cd1f3c9acb8f8', 'f44a0546760ccdb6', '0362bc618a029222', '0d1c5e5e77dfc06b', 'ed35350baa1d1fb2', '7637453da2bff547']; context = [[85, 163], [13, 82], [1, 72], [26, 87], [0, 47], [1, 59], [86, 152], [18, 103], [20, 88], [2, 64], [37, 100], [9, 90], [0, 80], [33, 99], [0, 54], [108, 154]]; loss = 0.018240 low_pass_filter = 0.300
+Epoch 0: | | 31689/? [5:32:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 31690; scene = ['1f38948643ec28d6', '1f94163ee183ece1', '086b3277600bd40a', '3a18102d487fa1c4', 'ba6bf7fe1ec95b7e', '65bc7363bcc2bc19', '694f18afbbd5adb6', '7406df8fa4c7b104', '6d9e7ac4f5113cbc', 'f39e7fd0e8f5f7bb', '835c947a070ff657', '4648b54a491a37e2', '35e7870c4f60c02e', '166d39209d7cc4c3', '71edec55f938858e', 'ed96b438bf4f41bc']; context = [[179, 266], [0, 64], [37, 92], [59, 124], [4, 82], [69, 159], [9, 62], [1, 52], [2, 72], [42, 109], [127, 190], [79, 153], [32, 79], [25, 113], [102, 153], [18, 63]]; loss = 0.015817 low_pass_filter = 0.300
+Epoch 0: | | 31699/? [5:32:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 31700; scene = ['8f242b96af5a7005', '7ab87cae327184c3', 'a31eae8ce8a4dbfd', '862d687be565f540', '56361ac6c313a5f8', 'fcdc78b1c1978874', '303910b1146da10a', 'c6066f922a2b4fe0', 'd0e565ee49890e94', '6fa7c62ef1f2df71', 'a8c50decb758680d', '4bd505299fae2fbe', '1b6f492332735a7d', 'd4bd67622f4d47ad', 'f788136c098c2df1', '701b6f6bd99f0c0f']; context = [[43, 110], [144, 204], [5, 65], [39, 90], [7, 86], [29, 100], [3, 81], [7, 82], [46, 132], [13, 67], [54, 133], [54, 103], [1, 52], [12, 68], [0, 47], [24, 98]]; loss = 0.014740 low_pass_filter = 0.300
+Epoch 0: | | 31709/? [5:32:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 31710; scene = ['bdc5d61eb1c2a3fc', 'a07ad67e90a850d6', '988026d3dcad9fff', '7ddde045f6344b88', '9593a5df8199ebf8', '5f3b0fb70f67cc40', '5abf9697e2bf74bb', 'b434dc6c5924ebfe', 'f3837e4187e78b72', 'f5216b60b45423ee', '8f9d510430000174', '8ebe4490fa70704a', 'b59e83762394e574', '892832f1fa164c3b', '775484920d4f3869', 'e0c715cd001ac816']; context = [[3, 71], [30, 78], [11, 62], [192, 257], [23, 113], [67, 129], [17, 70], [56, 113], [36, 111], [26, 93], [16, 102], [27, 89], [67, 138], [15, 71], [7, 85], [40, 101]]; loss = 0.013630 low_pass_filter = 0.300
+Epoch 0: | | 31719/? [5:32:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 31720; scene = ['deccf4ba5d1bc19d', '7cb26f5ca9def3e7', 'ab6240176622f001', '5a62e1bb60e358b3', '976c8a707ce214d1', 'fab8935910e8b3f7', 'e6c884e29d3fd3b0', '0db2c3f2775880de', 'bdb299c9c8c1f815', '09e4013597980b6d', '643e9d9430dd1649', 'ebae90e7760e1bb1', '333a7f003ab41a5a', '6f8423afebbbbd25', '7fe9dbaa9948510b', 'abc3b644b75eae17']; context = [[19, 82], [43, 112], [32, 86], [102, 174], [1, 63], [4, 88], [20, 96], [85, 152], [15, 62], [74, 141], [7, 56], [26, 79], [41, 110], [135, 188], [15, 76], [15, 75]]; loss = 0.013077 low_pass_filter = 0.300
+Epoch 0: | | 31729/? [5:32:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 31730; scene = ['c71a3f7b89568081', 'ff2fd59e055b0b79', 'b802eea54f0413e1', '3c7982c80f577025', '54e65a4536181cc7', '1a3b681db7fb0103', 'c7f40ee37d846084', 'e10fe2dc43ce5345', 'b3f2123abee05413', '1cb44cc657bd9143', 'dc8a7c084edefa4b', 'bf61e93b565a7f33', 'ee8b66081c66fd87', 'cb19ddfabb8e90d5', '9eb60828bc0f9e76', 'a791ecc75f3cc01b']; context = [[27, 73], [2, 68], [3, 76], [183, 241], [5, 71], [25, 83], [46, 135], [0, 67], [49, 114], [10, 62], [0, 46], [58, 122], [130, 183], [19, 88], [5, 84], [11, 79]]; loss = 0.014843 low_pass_filter = 0.300
+Epoch 0: | | 31739/? [5:32:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 31740; scene = ['a9062255c3e10e37', '46480458ef51b393', 'd47a86be435af29d', '262a536e25e2ae43', 'd59ab97b03d1164a', 'a5a4762cca8682a9', '6e246ece8fdd2a1c', 'bbeb5d738b8da0c1', '5dc3bfb193417474', '1779cc65f3853e34', 'aba8500bf55e59fa', 'e30553db7c558402', '4ea37df2f9dfda32', '7c376693c09e694e', 'e19e727ca26aa763', 'e21474479646bab2']; context = [[196, 268], [181, 227], [24, 89], [19, 89], [1, 46], [4, 64], [70, 158], [17, 100], [36, 92], [84, 132], [38, 108], [55, 120], [41, 105], [4, 62], [19, 91], [198, 243]]; loss = 0.011098 low_pass_filter = 0.300
+Epoch 0: | | 31749/? [5:33:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31750; scene = ['ec6c0c4fbfba7d89', '85bc7acec04ffeaf', '5a3f3729128ede4d', '8c2dea2fd62ec916', 'f35f88954217caa6', '5848d68e0bc9faec', '1f5c9b2057a61671', 'ab0c525209c83e51', '9e7176a195177385', '4ab2cbe665105a4a', '031413325619677b', 'dc1ae8c3ae7797ff', '2892afc2e696cb8e', 'e49884a3a277d320', '07d2d2d6cbd3f15e', '87c907d8c8c4d7d6']; context = [[4, 68], [149, 227], [45, 99], [21, 94], [0, 48], [26, 102], [123, 192], [98, 156], [98, 174], [10, 62], [30, 108], [23, 69], [6, 67], [17, 89], [0, 70], [36, 90]]; loss = 0.013807 low_pass_filter = 0.300
+Epoch 0: | | 31759/? [5:33:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 31760; scene = ['00d80d0e284dac72', '2dd2a1adc0c1d4cc', '82be68c78bfd5dcf', '9f3bcd7cc09b869d', '3cbe6fe0f3f71e16', '8c9aa1244d6b8737', '45a9f07df2162f72', '6c3a059a4bb42347', '5f9e388efa364f74', '5e55f309753b5ce4', '3af84daf652d5c9d', 'a90cd28742cee5e0', 'a78020b5a2368473', 'f75e151b66f83348', '9aea9a519266134e', 'b220e8591b6048ba']; context = [[38, 109], [31, 113], [0, 67], [37, 103], [96, 166], [34, 84], [39, 101], [28, 80], [12, 70], [45, 101], [0, 51], [4, 61], [25, 91], [11, 63], [50, 109], [76, 127]]; loss = 0.011300 low_pass_filter = 0.300
+Epoch 0: | | 31769/? [5:33:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31770; scene = ['284acf34f18ddb91', '1f45f564dd4f8847', '4d96975986327fda', 'b848a571e61f54b9', '4e00dcdc5aceb7d0', '4521b22b9c889195', 'd471e6382b35d0b6', '8f41ead25c924a25', 'eab5a02951e9e825', '68c57df4ae8cdde0', 'c01d0a6a674d63e4', '8d6927aa2b7c5640', '1adf1217ee3b7ebc', 'b28a42fc48ba53d8', 'c6f898024324352c', 'cd3ae68065af7962']; context = [[4, 62], [3, 68], [206, 265], [20, 73], [6, 66], [51, 107], [170, 227], [45, 124], [213, 278], [104, 158], [1, 46], [2, 50], [49, 97], [3, 69], [128, 182], [20, 85]]; loss = 0.012066 low_pass_filter = 0.300
+Epoch 0: | | 31779/? [5:33:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 31780; scene = ['89e1949d499596eb', '1f3f484a027f93d9', 'f73db02fdfe72073', '9aecc2625941cf16', '556108665fc7b970', '0d158225b3c47682', 'e7bc3ad0f05e8975', '0095b1bb592abf6e', 'ca73b09900ea2fd6', 'd5986f6e83d25e10', '05f387b81969e9d1', '689bb3b838fc55a3', 'bcf9ba9fd71a333e', 'e460f3787e9ca556', '1c255f5aa2fcdbce', '97335b3817822ee3']; context = [[147, 199], [16, 86], [18, 72], [0, 47], [50, 100], [2, 50], [1, 48], [55, 132], [14, 85], [12, 73], [19, 67], [202, 272], [10, 57], [9, 61], [6, 65], [170, 231]]; loss = 0.012042 low_pass_filter = 0.300
+Epoch 0: | | 31789/? [5:33:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 31790; scene = ['7b36d632ebd71fed', 'c2a64bcee14b5faf', '0687be1d78a22cd2', '2276bb8e325107c1', 'f9be4a5ec874f825', '1f4695b2e5f03cfc', '61a80bb0d63ba70b', '63d30096d9447949', 'c520e25d5bd303ec', 'bfa9042d0f35d6df', '37f5c9bd33e92d4d', '69a31234f2d534f3', '7ce59b93cd4d98ac', '1e55d866b0335343', 'ecd91cb5b8acbad9', '30878b54736367da']; context = [[0, 46], [42, 93], [84, 142], [14, 60], [56, 110], [1, 51], [44, 129], [40, 104], [3, 89], [0, 55], [26, 80], [12, 72], [112, 198], [157, 237], [33, 99], [3, 93]]; loss = 0.014206 low_pass_filter = 0.300
+Epoch 0: | | 31799/? [5:33:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 31800; scene = ['65218582029a6dbd', '0a0d6e996be16a51', '6561d661fafa1c3b', '576c87476d75eb92', '82a373d53877ae09', '885c91e8c9e5d66d', '05c53623df72da3d', 'b4387b50f12cd03f', '1bcb0cd2d7fbe4e3', 'd88068c038b9a8c2', 'c0f0b9fb3a20df47', '8c6c81a3e5a3571b', '3871dea7a39088eb', 'e5ac7a8f7c5833bb', '50cd6da2b64f0268', '848b733827f1bb85']; context = [[5, 54], [4, 49], [46, 126], [7, 53], [29, 85], [52, 142], [7, 55], [0, 61], [1, 46], [67, 155], [136, 209], [92, 140], [50, 105], [148, 231], [134, 210], [1, 60]]; loss = 0.013007 low_pass_filter = 0.300
+Epoch 0: | | 31809/? [5:33:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 31810; scene = ['594beff70d7255b2', '294fee707e8d9822', 'd6e2f78135cb95fb', '88cd2f72bb3cd574', 'd58a710d12ee6de5', 'd151c2c583596f65', 'f5d3ce7be7de1784', '96153d298af583cc', 'ffe6c865acb68afc', '5a9279f3e6f0c6f1', '6710d1cf945073f8', 'c1429337eae3bdae', 'f3afadaadfc48d89', '9751e8058f939d35', '02f81f2a8a5b170a', 'a888f72d8d7c6439']; context = [[3, 88], [10, 79], [4, 90], [33, 108], [44, 94], [18, 103], [139, 217], [84, 142], [0, 62], [53, 122], [16, 90], [12, 59], [19, 69], [85, 165], [47, 127], [57, 117]]; loss = 0.014151 low_pass_filter = 0.300
+Epoch 0: | | 31819/? [5:33:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 31820; scene = ['a9ffa4a8880baf92', '3ad32c774a990a63', '116fc4e6b30185de', '4b558439c3094357', 'c27206d098fe6546', '09b5abace1293176', '4a06a35720fd46b8', '6090fcf28a1a3a43', 'dd73a0c07b63406c', 'cbb73995f139a274', '3d75646077c13ab1', 'c6f0f806223e490c', 'c647a0fa8d97eb8a', '0bf49ed081b75fb5', '8944e2d266a03dc8', '4b612eca55fc46fe']; context = [[26, 89], [1, 75], [20, 101], [14, 70], [208, 274], [7, 63], [40, 106], [168, 229], [16, 69], [21, 108], [74, 151], [6, 92], [4, 63], [8, 70], [0, 50], [5, 53]]; loss = 0.012670 low_pass_filter = 0.300
+Epoch 0: | | 31829/? [5:33:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.0train step 31830; scene = ['19972d1d65740dd2', '454d8f6175cb6e11', '5a406f1f5509c870', '28d5cec35a1749f7', '86856fd663430e4f', 'dff0175065faf583', 'a3ce7bf7b8f862c6', '77f4aac23351985f', '2b0fbcbe4bfadc87', '77bd8533dd345d78', '29630caf53361797', 'a83198758eb70f2c', '9d3410430030e0ca', '22c47a85716d0d11', '38d75df78ab70711', '268fbffc6c479d5b']; context = [[8, 74], [1, 90], [70, 121], [65, 112], [4, 54], [13, 63], [15, 77], [17, 91], [1, 49], [71, 154], [0, 67], [98, 172], [21, 88], [16, 90], [9, 59], [19, 72]]; loss = 0.011102 low_pass_filter = 0.300
+Epoch 0: | | 31839/? [5:33:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31840; scene = ['976d6143db761f55', 'bd0130776610b949', '2447d6b6745ed6f6', 'dabe803863d55976', '3e728ab85f6d379a', 'ba892f5e3631896f', 'c51824c9e0819b7a', '2bae15c9bc833a3b', '67748b0b9af1a23d', 'c4486fea610e2997', 'dd6ba5f92f331866', 'da828b199e8c4a73', 'f41915d4a145f023', '6998b51bcccaec89', 'ba8b46a03c44a6c8', '2b1474ef6b7f54c1']; context = [[63, 117], [14, 74], [28, 95], [19, 69], [1, 80], [12, 90], [7, 53], [158, 248], [77, 130], [20, 102], [12, 78], [17, 69], [201, 260], [9, 91], [13, 85], [0, 72]]; loss = 0.015240 low_pass_filter = 0.300
+Epoch 0: | | 31849/? [5:34:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 31850; scene = ['d5cf929dba93e0ed', 'b1177848ab8158b4', 'e59a64cfbd22e6ad', '80b59942f390e232', 'a74868eb24abfcbf', '41ea63dff889dba6', 'ef0ba6c772a7582a', '92bc19473fe0069c', 'e4d0ac09522a4366', 'bef65560c9569e26', '8595e050624067b9', 'ca0906c639993ffc', 'db55f6cff323e242', '1bc07b4570b5f3b7', '662c6e07e281ca3a', 'c6b620d3a892405f']; context = [[54, 106], [6, 69], [7, 53], [1, 58], [1, 46], [27, 73], [15, 62], [3, 85], [41, 86], [5, 62], [76, 155], [45, 135], [12, 82], [0, 45], [13, 85], [125, 209]]; loss = 0.013268 low_pass_filter = 0.300
+Epoch 0: | | 31859/? [5:34:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 31860; scene = ['14b8447b6a98961f', 'bb5cc95dd4cf749c', '86dbd3d7c71e63d9', '8b598829b949bb07', '782bc1eb4be1cb89', '47d9f6977b05f18d', 'f0775b5ffdfb27b5', 'e41915761acdb093', '12bc55088cf2ce58', '3b4e220f6d18d61b', '3ce190b5df7d8af7', '0fe21abff5401005', '721994e114f4ec69', '4f4da706cafe1656', '78ee44257f9539ef', '285ea7b514670328']; context = [[12, 80], [0, 52], [23, 69], [55, 111], [175, 256], [61, 112], [71, 117], [116, 182], [7, 52], [4, 55], [5, 76], [3, 74], [47, 107], [37, 93], [54, 100], [40, 102]]; loss = 0.015852 low_pass_filter = 0.300
+Epoch 0: | | 31869/? [5:34:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 31870; scene = ['adf73db30b5dc7ff', '1f0353d32c568894', '53700a49e8dbf513', '9c595a0f46169c48', '2028eac12a944ac1', '785b34dd2c077fad', 'fe85b3be4adb42aa', '252543ae4021a637', '0e1d3e59eb57c68a', 'd516ec3d191a3e16', '8e4f26e204962462', 'de95779cdbeaa19a', 'f86499380731b8d5', '776f9105ae37722c', '683b9e113d27af52', '894fa538391d8216']; context = [[117, 176], [44, 96], [33, 121], [2, 48], [13, 77], [9, 87], [7, 55], [25, 103], [68, 125], [125, 204], [1, 69], [40, 122], [6, 94], [40, 98], [25, 70], [7, 73]]; loss = 0.014314 low_pass_filter = 0.300
+Epoch 0: | | 31879/? [5:34:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 31880; scene = ['426202a67f295583', 'c3db6f9f2953dc50', '17049af18ea4c784', '50cc788b73592850', '5912be1437edc106', '644c8551169990a9', '2f23af98f94f4f91', '0285f38c0904dca9', 'c8bf6244775f21e5', '3d063393b5a6029e', 'ad88a6a2918af1b5', '97eb86d76d10ff2d', '2edcdac113b678e0', 'fa88a7ed3486cf14', '55a5e674fe071287', 'd7080cccb7dbe342']; context = [[32, 77], [0, 69], [1, 60], [73, 160], [13, 96], [203, 249], [2, 70], [17, 81], [134, 182], [15, 72], [8, 64], [9, 71], [6, 58], [12, 61], [13, 71], [23, 89]]; loss = 0.012893 low_pass_filter = 0.300
+Epoch 0: | | 31889/? [5:34:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 31890; scene = ['35eb1ea54b2d5010', '3daf1d0ab98e86e5', '8df3badfb21130d2', '801df40f6493d352', '5070ea042c65de0d', 'd92ac4b209fa63a7', 'b43a3a4a11bd7b0f', 'a2f4df0f4041193e', '7f3747639c846356', '208b5060a974d802', '27d7650462d5f41e', '4bef3ad018822489', 'fb286be8ec93b902', 'b072d5e75e95e9cd', '438c7699dda81671', '4213a78b00a65962']; context = [[10, 84], [8, 55], [180, 230], [42, 109], [21, 99], [2, 57], [64, 117], [201, 263], [22, 74], [1, 54], [103, 165], [171, 247], [40, 125], [1, 68], [24, 111], [57, 141]]; loss = 0.014561 low_pass_filter = 0.300
+Epoch 0: | | 31899/? [5:34:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 31900; scene = ['8bed11d1fdc751ef', 'e2f58ba752660105', '07a9c6695d47bf55', '7b5264196ad7f9ba', '72c8c93aa3c5524e', '9d1bd0ca8d1ba0f6', '8620f4cd02c48617', '1c1e1bf5171d6086', '70cbdbedb93e8ff9', 'e7f8f1481b01c222', '66726f5afdab740e', 'df3eace7286b16ff', 'a3abe0c419b12a6d', '975302d5f959f41c', 'bad9d8fce9a88d31', 'a9319dee9251ebe6']; context = [[80, 160], [67, 156], [1, 61], [31, 115], [8, 64], [4, 57], [33, 78], [50, 108], [21, 94], [5, 66], [38, 105], [14, 68], [11, 84], [2, 89], [5, 68], [141, 203]]; loss = 0.013420 low_pass_filter = 0.300
+Epoch 0: | | 31909/? [5:34:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 31910; scene = ['d006ffe0f21ab02e', '0a8e684a8532d876', '71df83fbad5e8161', '6bf5751095b15db6', '26aac88656a643d5', '3cd26316ca2ba399', '91d12d3b1f39fdb1', '1185cec1560a7b31', 'f0f1116cc3d14dae', 'c40af6052df793cb', '517ae9a9dc37f79d', '86f9b496d5802db2', '2dd92def8d2c4a3d', '49a5ad0378eff134', 'aecf769bca7bc5ce', '161f14f119361e90']; context = [[59, 138], [38, 94], [1, 54], [18, 82], [30, 112], [17, 71], [0, 72], [9, 54], [2, 52], [21, 102], [9, 89], [52, 139], [22, 68], [20, 78], [156, 202], [4, 92]]; loss = 0.012849 low_pass_filter = 0.300
+Epoch 0: | | 31919/? [5:34:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 31920; scene = ['6c086cb6262004f4', '7a2bec1959eead9e', 'fb0cc810fda13456', '065751bd5f26d40b', '8fe01181bfc7318d', '61f2bd9a20b9278c', 'b30c5363681d3c16', '662b8fd7e0234fb7', '0397db66e75e11e3', '828c3898047387d3', '939765172ffc74f9', '173b19f15ff9a34a', '69ec3d6b148a1b39', '26bcaa3454a97edc', 'bf84e0f38a25ff6b', 'e9ae04619bdeca8d']; context = [[122, 187], [35, 88], [16, 77], [17, 69], [0, 48], [0, 70], [15, 62], [69, 124], [4, 75], [184, 268], [161, 221], [87, 177], [2, 66], [13, 77], [71, 151], [146, 198]]; loss = 0.016771 low_pass_filter = 0.300
+Epoch 0: | | 31929/? [5:34:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 31930; scene = ['a3ee73d525187763', 'd3571aa640d9ebe8', '32db9d241a97c624', '232d97871c790856', '5047b5dc3a98e12f', 'c0de6e9564792ffa', 'a399b803b264fc36', 'b391c3d9cf1425f3', '9af1d032591b57af', '26e48cac44f92e26', '596bf8d5e28efd1d', '66f718b2953961d4', 'c119ecc8f4393c06', '7419ce7f5cb808ee', '0246dfe96b27b4ce', '57abed33a7c3652c']; context = [[6, 82], [57, 133], [94, 141], [19, 86], [5, 74], [4, 73], [11, 82], [5, 82], [97, 172], [42, 123], [149, 217], [32, 119], [1, 50], [115, 181], [27, 112], [94, 156]]; loss = 0.012982 low_pass_filter = 0.300
+Epoch 0: | | 31939/? [5:35:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 31940; scene = ['ae12457eb84c3109', 'a8e31e388f09de2a', '8b059787c5dff034', '4aa10f2a675ba1fc', '20eea6e0a91b2cd5', 'c31c79f118bf1526', 'd80f75c505582b17', 'deed1be47150b1f9', '09084445f13c2ecd', '76621f74252ed3cf', '3ebf9edd22c530fb', '54d0907d4b6a32e5', '1ac86acb340bc4b1', '9d3785df6817e083', '1a3e987a8657a250', '8cf108ebcabf320e']; context = [[4, 88], [172, 233], [18, 69], [128, 208], [74, 141], [42, 111], [32, 84], [44, 90], [51, 133], [106, 184], [67, 119], [39, 126], [22, 89], [42, 115], [9, 96], [25, 103]]; loss = 0.014113 low_pass_filter = 0.300
+Epoch 0: | | 31949/? [5:35:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 31950; scene = ['496af891d9e2079c', 'bcec4cead9a8da81', '52fdb6f042edafa2', '15acd9257cdd6713', '06f32680a0705bdd', '2a652e3614e59c80', '0d0184bdc09e63cb', 'db93b3d79443867a', 'ab717e6921f1e855', 'aa2883136b009b8f', '70c9c243f90fe538', 'dc60b19f3ec8f234', '6b16365848d1ad7e', '5a721534e874a9d8', '0ca076f1e292486c', '0854759c3f66028e']; context = [[3, 55], [101, 185], [18, 81], [0, 45], [3, 74], [17, 70], [4, 73], [3, 76], [44, 129], [51, 130], [40, 119], [15, 102], [6, 87], [39, 116], [53, 104], [143, 204]]; loss = 0.013563 low_pass_filter = 0.300
+Epoch 0: | | 31959/? [5:35:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 31960; scene = ['48a3d3197bea50e9', '16b21617bc0ec95a', '92f91b8f1e566a36', 'aa2da4756cbc5fac', '06de2427c04c4608', '6a5eaf28db8fee7c', 'ee1e685224259d5e', '215036beada7a57b', 'a83fb8c2a25ac2b4', '466101425e69ba66', '1060ca933281b55c', 'bf8c1e3962c35b5e', '06d592ca278c60ef', '4dfd4268f80ef274', '4b286aa697cf814b', 'b4caf9dbe386c507']; context = [[8, 98], [21, 104], [11, 91], [138, 187], [85, 134], [184, 261], [0, 69], [26, 91], [103, 188], [23, 112], [3, 77], [10, 56], [31, 118], [88, 161], [4, 52], [1, 73]]; loss = 0.013052 low_pass_filter = 0.300
+Epoch 0: | | 31969/? [5:35:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 31970; scene = ['6bf5751095b15db6', 'd006ffe0f21ab02e', 'fd75e5dda8bc0264', '0a8e684a8532d876', 'ff9c615f0b79a62e', 'f708a1924342daa2', '8aa808a0b8f615e0', '2c1209afd2fa704a', '31d30fddbd27c955', '169b3450c206409c', 'aee46149e705448c', 'e5bfd08a1401f48a', '95d8fdbde6d3bc0e', 'bf42ddb0b05a042b', '4174e812c0474d77', 'a4be14ed97b5545d']; context = [[0, 80], [26, 100], [166, 249], [79, 138], [1, 67], [163, 247], [8, 56], [10, 60], [12, 85], [19, 66], [77, 125], [6, 90], [23, 112], [1, 46], [56, 121], [55, 141]]; loss = 0.012007 low_pass_filter = 0.300
+Epoch 0: | | 31979/? [5:35:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 31980; scene = ['303d67a3e601258d', '9c2479fffec7df76', '8e9cd984cd976e60', 'e3a3523db7dd2842', '9b8c18ba73e39684', '8b3850a90cb424bd', '5af3fa101b3b35b1', '744f36678102a07e', 'a9999b99dd4691cb', '176c4f096dad0005', 'e8ab766619331d3b', 'cebca48cb739cd63', 'c37b7e0185f4f065', '2c7eeeabd8741a8b', 'e82133b7484e9dee', 'aa65023359f54a83']; context = [[0, 52], [87, 159], [7, 64], [2, 63], [73, 139], [74, 143], [1, 53], [1, 53], [61, 133], [19, 97], [5, 53], [182, 269], [6, 80], [23, 81], [5, 54], [184, 245]]; loss = 0.015810 low_pass_filter = 0.300
+Epoch 0: | | 31989/? [5:35:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 31990; scene = ['4db602eec0761daa', '67738326f8fac909', '639dccabc5fd5189', '237c3958c379951c', 'f01be21299d4a10a', '7f0548a3d33609a1', '8f96818fb94a0c1d', '9f2c2dd173501b7f', '12d37d2db81cfb78', 'a0c990050d1cfa1f', 'd0eac6db1192f430', '4476b4830410d1f3', '72a57f7a77bfa5fa', 'ba8683c7d9392cae', '5d021215098f312b', '8d44230707ae23fd']; context = [[3, 61], [11, 96], [46, 135], [110, 168], [9, 58], [15, 69], [56, 113], [8, 75], [42, 87], [55, 143], [12, 65], [36, 92], [38, 117], [57, 127], [0, 77], [33, 80]]; loss = 0.018486 low_pass_filter = 0.300
+Epoch 0: | | 31999/? [5:35:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 32000; scene = ['351fef11b73749a0', '22b738ea36c74818', '2a04010c4f49ea58', 'dce6060a16b7048a', '418919a8c9bdc66e', '179a6f32fcf79447', '6a5e3b521dc9aaa3', '16360d5aa6b5ff46', 'd9697be3b5b49a65', '6f1c3e5cbf9ede84', 'e4bc9a168f1a8c90', '1a7c9e811045bd7c', 'fff7d26426284b52', 'd42d236f6214408c', '18e4f707e6d47890', 'ae692b758265318d']; context = [[4, 50], [8, 59], [69, 126], [13, 63], [104, 186], [15, 82], [1, 82], [1, 57], [1, 50], [5, 65], [0, 70], [106, 162], [28, 113], [45, 113], [174, 233], [4, 79]]; loss = 0.012751 low_pass_filter = 0.300
+Epoch 0: | | 32000/? [5:35:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0validation step 32000; scene = ['7958600c70ee8a9d']; context = [[37, 124]]
+Epoch 0: | | 32009/? [5:35:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 32010; scene = ['2a63d1563f12cd02', '08da23838ee6e23b', 'c092a25d4ba3ff11', 'b35989ec71b82d59', '3caa89905a59e7e6', '4b1e9951025df85e', '0ffb281660c6cb11', '4d7f27209cb09538', '1aff412e9382cd01', '2d4ba71e2e29a35b', 'd15676d8db5e0db0', '2940fa061fd8324c', '8436e54d23557eb1', '20c6b34228f318ef', '423dece8f9f8b4f6', '6a285a8fbadd5d46']; context = [[116, 178], [4, 71], [0, 75], [11, 91], [33, 88], [30, 113], [13, 99], [0, 70], [3, 56], [5, 66], [13, 87], [7, 58], [63, 127], [105, 189], [83, 140], [11, 70]]; loss = 0.014850 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 32019/? [5:35:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 32020; scene = ['bcb8a096f875ed4a', 'a7a82f76bbceea2a', '10ad97617138c17c', '2cf82f9ef86a8409', '3f5c91c54d97b80f', '3b4d02e2e3dcfe71', 'cfcad25f2356c640', '60f2ede8e789abaf', '207111788cb523c5', 'af4b799f345044ca', '8b3e50b64cdb9a4a', 'b765858262583af6', '05c25202589a6f81', 'c6cdc4c9282bd491', '34a9201614a19005', '7f20b3df52cf4e98']; context = [[127, 189], [9, 62], [118, 165], [5, 63], [45, 91], [15, 97], [74, 161], [9, 99], [157, 219], [45, 100], [61, 116], [138, 186], [20, 100], [68, 136], [54, 126], [2, 71]]; loss = 0.014265 low_pass_filter = 0.300
+Epoch 0: | | 32029/? [5:35:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 32030; scene = ['460d2009e8c97d4e', '175b05b368c133e7', '5c399d154f879440', 'e1e06af93de0e70f', 'd70552f02e4c18ee', '73c0efa320a47a6e', '01ed204a90430be3', '4905dd1533b8ffb2', '874e813188a281e4', 'afd2942e07cd0a89', '29ad06f3162b2bc1', 'ef706ea61b3c2e63', '562a651f76555c16', '453abcae519671ba', '9704d8d01aafc1f2', 'c513a3c2f59aa548']; context = [[40, 89], [56, 116], [2, 74], [4, 93], [3, 61], [46, 115], [20, 69], [100, 186], [74, 122], [6, 54], [27, 99], [51, 99], [40, 127], [59, 111], [60, 140], [32, 101]]; loss = 0.014312 low_pass_filter = 0.300
+Epoch 0: | | 32039/? [5:36:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 32040; scene = ['08c65e3cf88db4af', 'd171ae0f4e4eac6a', '778144229ee0ba4b', '95b90b50559d5b70', '9ae03f53e0d33b37', '13af0ec186bf01fc', 'e2c328ad092aec3d', 'c280e370c22a71ae', '480bab337d7da840', 'cdea0dfb43080c67', 'bb307bd68f12700a', 'abbad56be54aa1ba', 'ba9285c8e0af01e2', 'c3b35d883258d896', '629022dc25992d4b', 'ade0f8dd75055776']; context = [[139, 212], [70, 144], [35, 95], [75, 131], [58, 105], [60, 144], [46, 128], [35, 97], [211, 277], [21, 88], [28, 115], [2, 86], [50, 123], [80, 136], [0, 81], [178, 267]]; loss = 0.016289 low_pass_filter = 0.300
+Epoch 0: | | 32049/? [5:36:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 32050; scene = ['7db929a94fc70899', '9e4bb8fca4924710', 'e7c8d03c7aaee9ae', 'e9a0a9f254d59361', '382aaf1269c534df', '64b414cc58566ff0', 'b74fde980825aec3', '8cc956d65a32814f', '9052eaa11b366e90', '93ea920eab8ad6cd', '930358bc273ec3ac', '4612633dbcb310e0', '763bf0262e09414e', 'ab4b017d0b54dff4', '4ec0760c6080f863', 'e119a30983701677']; context = [[56, 105], [1, 48], [29, 77], [2, 61], [92, 144], [4, 71], [5, 52], [123, 203], [0, 59], [90, 141], [11, 94], [15, 98], [2, 73], [21, 80], [1, 71], [28, 84]]; loss = 0.015459 low_pass_filter = 0.300
+Epoch 0: | | 32059/? [5:36:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 32060; scene = ['35f1cf907195fd7e', 'af06c5b083c836cc', '60ebe67fcdbb0767', '5e64c580f02995fe', '7fdf985ba46e978d', 'dd63342a63be7453', 'ea7dcd064894c677', 'c0fa0cb15499fc43', 'db683f6705440884', '0e5f43adc84b0435', 'd61163a950567fe9', '214d64d6c28f8e13', '9c600c825f25eeb9', '7360b37763841f66', '05830d40e8497df1', '2af84d2d7d040b84']; context = [[6, 66], [35, 95], [29, 89], [22, 80], [163, 233], [51, 111], [67, 115], [7, 93], [5, 91], [9, 89], [62, 107], [2, 65], [85, 144], [21, 111], [4, 72], [3, 78]]; loss = 0.012554 low_pass_filter = 0.300
+Epoch 0: | | 32069/? [5:36:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 32070; scene = ['4b19af1446b886e0', 'f6d8dfc70b33a654', '595a8731cc0ad176', '69fc48e88e77063c', '3e8e2593fb4e7647', '10d1864880c5a385', '57d32f951f7724ce', 'b6434d7834b74de6', 'df75d62af7eb01fd', '1061fc268cb19037', '239e2f2fe3c455ec', '4b9e14c1b0cdff5f', '264313f78bc51640', 'f0b619e046b7d0be', '92918f57f835107b', '5c6c944d46c66a11']; context = [[16, 67], [0, 63], [80, 143], [132, 202], [13, 70], [54, 125], [60, 125], [3, 68], [6, 67], [23, 113], [26, 94], [1, 51], [67, 135], [7, 63], [85, 130], [7, 74]]; loss = 0.014395 low_pass_filter = 0.300
+Epoch 0: | | 32079/? [5:36:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 32080; scene = ['993d1f1c6062a6be', '20153915281668a9', '57faf061b07006cf', 'fe0eb7aed6e113b3', '538edda415ed2de3', '4ad5cecab1988512', 'f8f773a036b4752b', '891b961086b8c3c1', '98f9e6a5b0475808', '6408008d0dcba73e', '6f8b6524e87dc23c', '362336fc9e531a0a', '370ed12221433e23', '23c9157a969aaf13', '7399fc6bbcca8a11', '63bd3caf453edefe']; context = [[148, 221], [160, 236], [83, 158], [14, 82], [32, 97], [11, 83], [14, 78], [170, 244], [110, 188], [10, 76], [189, 261], [12, 67], [1, 75], [28, 94], [9, 96], [13, 103]]; loss = 0.016237 low_pass_filter = 0.300
+Epoch 0: | | 32089/? [5:36:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 32090; scene = ['5f97e7f0daeeacbf', 'd963397c195c1af9', '6b9e2b2554495537', '676a62bb7947d66c', '58cadab07998fe5f', '7514f3b17589785b', '74aeb62f3246d73d', '62fe323977f07a05', '305ee26dd52e6c47', 'b88bb5a497a3359c', '4558a4e86660273a', '3b46f7051f8f7435', '466a137cf7c24cee', '5b8976bf2748f77c', 'f0ce42e2f9ea8b48', '3d534c7237d85ccb']; context = [[54, 142], [9, 65], [0, 45], [6, 87], [12, 93], [19, 107], [62, 117], [4, 83], [58, 119], [30, 109], [13, 89], [66, 124], [50, 114], [63, 145], [46, 116], [14, 68]]; loss = 0.014088 low_pass_filter = 0.300
+Epoch 0: | | 32099/? [5:36:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 32100; scene = ['b77f68b6747f4859', '9f210154fdb005d6', '3a95efa051965ee0', '85660aac96ec7778', '68c86d2d09836cd4', 'c81f209b3458fcf8', 'b06d428a88f3caf5', '437188c182ae6a10', '619bbe47d821de6c', '2c9ced3cde2db8ad', 'db61533e680f5d74', '704ce38139b35265', '1ac92f4574d64997', '27508406fddac6dd', '9315f7d23405549f', '600b4e7878e4b09a']; context = [[1, 60], [12, 57], [42, 99], [12, 69], [5, 65], [17, 79], [41, 124], [56, 124], [0, 65], [21, 108], [24, 105], [25, 97], [3, 48], [22, 95], [27, 74], [3, 81]]; loss = 0.014965 low_pass_filter = 0.300
+Epoch 0: | | 32109/? [5:36:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 32110; scene = ['f4d25d72b22850ca', '04323ad83985f199', '77dd4eeb5e479153', 'b0b4e688d0b9e727', 'd5f46a0f7d2bd110', 'f760a303e59652b9', '152fdd4a1d573eac', 'f6002d27b4940f4b', 'd0b05114696275a3', '8d240b118357cf8f', 'e579edd7cd33c20f', 'fd367e423c5ec1e6', 'bb2d9debacfd0afe', '83f57bcd5d9121f6', 'b60f44eb4453cabf', 'f74d512df8806cc1']; context = [[3, 79], [12, 74], [3, 48], [2, 57], [72, 118], [64, 114], [2, 74], [83, 160], [23, 104], [2, 75], [1, 48], [157, 220], [10, 57], [118, 189], [27, 97], [85, 135]]; loss = 0.015802 low_pass_filter = 0.300
+Epoch 0: | | 32119/? [5:36:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 32120; scene = ['ddfa8d6604f845bb', '411e896fb7efd84b', '6dfa81c2d493c456', 'e950efbeeb3072af', '2279dde65e35a5a3', '5a2613c4e0967be4', 'ef735d69302f6d6a', 'dedd2069b0d6eb9c', '1d73b17a7d797570', '94fdf9265bb7b48f', 'e72cb26fba0596df', '0b7f965ccd404bef', '7249540ddec693f0', '306b847908786dd9', 'ec5662982ab863f4', '05f14de3209c1825']; context = [[1, 52], [4, 50], [94, 157], [31, 113], [30, 75], [8, 81], [2, 77], [34, 89], [129, 217], [5, 53], [29, 102], [117, 166], [2, 87], [194, 248], [3, 69], [19, 109]]; loss = 0.016087 low_pass_filter = 0.300
+Epoch 0: | | 32129/? [5:37:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 32130; scene = ['f3ece616271df705', 'ebfefe9f9b0f3e6e', '98aaef4ad2b17e8c', 'f8f835eee75cd945', 'e83b6e80a76b058c', '1d011da8702fad3f', 'ea9f77b3f0b7cfc3', '0269bdc7f1711203', '42a6b81271506966', 'e598d96fa007cde0', '5f04ca4ac1a635b1', '88a0e9bc46f4e05e', 'ce09a309ad53d4ab', 'b735ed8996e3d846', '762f4db898ff38d8', '67aa901c9e897988']; context = [[18, 85], [78, 141], [6, 61], [36, 111], [0, 69], [90, 170], [38, 125], [12, 67], [51, 120], [95, 164], [45, 113], [202, 260], [36, 84], [71, 132], [15, 64], [1, 79]]; loss = 0.014383 low_pass_filter = 0.300
+Epoch 0: | | 32139/? [5:37:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 32140; scene = ['5b60890c0841b3fc', '7f379c88d591153f', '9dca670d53757444', 'b7790df1a78d2ead', '90378ec4423744fc', '18ed5f9e86797748', 'de13992d44e86ff6', 'dc8c60520f97768f', '26df5708ad6e414d', '8f143f06559309e6', '68fe4c264682a4af', 'c90c46a5a1c95c0e', 'aa0fc15ff8226499', '2ba70c51fe7b9b31', 'c6c114f98ad69a02', '7fa967710229854e']; context = [[2, 51], [26, 112], [2, 74], [0, 68], [31, 90], [0, 78], [13, 82], [119, 175], [15, 76], [179, 231], [0, 69], [127, 180], [59, 122], [11, 57], [79, 140], [0, 45]]; loss = 0.011245 low_pass_filter = 0.300
+Epoch 0: | | 32149/? [5:37:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 32150; scene = ['5dab864bd9c7d1ba', 'b1f4bd04727375ff', '9c553c8d306581ae', '99a5b8917c62c1b3', 'bac9ac17ee40a91e', '84a3c4bf31f6a66c', '263271a1bcb631b4', '83b4e000823a3d5a', '72bc8ef5c2bab64c', 'bb8f58743298049c', 'fc44874b30bf3288', 'a032cb170dcecafc', '23c5fd8b2ee6b24e', 'dff38aa5c1474f90', '53599c2c4ba5c668', '6542abd58a761087']; context = [[138, 198], [4, 66], [69, 120], [1, 55], [9, 59], [31, 97], [5, 64], [31, 86], [16, 102], [8, 93], [54, 131], [2, 49], [25, 103], [5, 64], [11, 72], [140, 223]]; loss = 0.012484 low_pass_filter = 0.300
+Epoch 0: | | 32159/? [5:37:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 32160; scene = ['e821c58064c7136d', '2951495162c9b653', 'f31f0b80f53b946c', 'e56c29e299bfe377', 'a81a0c4349ad3507', '646d7fe490c813f9', '192e889ee8976b5a', 'a485b22b932c2626', '4666bf577ab773ea', '6c9380078876c6ce', 'dca97964a12df798', '0452212f8a422ba3', 'a57af4a50085aea0', 'fc0717ba72e4e99c', 'e167c9e3a4ac3ddf', '9be4f7f194641876']; context = [[2, 54], [162, 219], [21, 100], [3, 84], [10, 86], [21, 103], [3, 56], [187, 260], [215, 261], [60, 124], [64, 154], [6, 64], [7, 67], [93, 151], [173, 249], [91, 150]]; loss = 0.014982 low_pass_filter = 0.300
+Epoch 0: | | 32169/? [5:37:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 32170; scene = ['75dde7780f57ce88', 'e9dbafff61308a9f', 'd8eb233c72170e47', '863a3ca730bcb9c7', '404f9015683d7328', '55ae1e73f52a00a7', 'e141faefbd36799a', '90f1b2ef803358d1', 'f8b0f3569f34e541', '1c5ea1ec854c472f', '3cff75a214377cfb', 'd6a97f5d2988757e', '56e7b45a1a6809b5', 'a2ca981bcd5a2576', 'f713eae29d194d0d', 'd60dcf55511d8be9']; context = [[8, 62], [60, 116], [0, 51], [76, 139], [11, 74], [79, 150], [9, 64], [142, 217], [43, 125], [31, 117], [97, 171], [26, 91], [5, 54], [29, 94], [17, 88], [143, 219]]; loss = 0.015164 low_pass_filter = 0.300
+Epoch 0: | | 32179/? [5:37:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 32180; scene = ['69cb0073981e7049', '07984aaae089508f', 'f347ca4a0926a967', '846b2e322d7cc9dd', '96fc7df8429f0a78', '77bb98dc598d6303', '49d624ee8bfa93e6', '182988c4876804cc', '57da0673627cdc72', '4cbfe5e1cb899b58', '2ae92e6f6452a886', '2b8ce588ba8d8ac8', '118dcaaee5ccb12d', '4c32e3724deb6127', 'ac4fa0971b1f1cec', '6487b73983851b5d']; context = [[61, 111], [21, 92], [3, 63], [83, 153], [16, 73], [0, 49], [10, 64], [5, 92], [0, 63], [12, 71], [20, 75], [166, 232], [27, 73], [107, 166], [24, 74], [215, 264]]; loss = 0.012582 low_pass_filter = 0.300
+Epoch 0: | | 32189/? [5:37:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 32190; scene = ['4276394e8565d036', '4b3e117d4f50b167', 'd0db77f773444638', '4b67e4f68e085f45', '913bc26ba7d3afc5', '4ad8aa55f3b300e2', 'a9caf4fcb2bca405', '7125ae35464adb5a', '6b990b7b7e1842d9', 'a6ac9a6cc22cef98', '5dee435a268fbf38', 'bffbd3c67735eeef', '81df966eea295ac0', '935a90bf15b8c7cd', 'cdadb3960ffc1de8', '5aaf9100d34579e6']; context = [[76, 156], [30, 80], [125, 199], [32, 108], [104, 192], [33, 80], [4, 53], [1, 61], [0, 45], [79, 137], [20, 76], [135, 186], [59, 120], [16, 87], [81, 130], [6, 73]]; loss = 0.013444 low_pass_filter = 0.300
+Epoch 0: | | 32199/? [5:37:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 32200; scene = ['2629da604e80913f', '5150534a7080bbe1', 'fab2da62901db99e', '8b06df9786bd4aa4', '031f8b9e66601e5e', '0d8e5289e56244c4', 'c04814a993082566', 'bcc00e27ca39c0e0', '25280e32ba676f03', 'f48e3fb895bd459a', 'e9245e35931d0260', '70c56631eef0de6e', 'f1dab83bdccd9a64', 'ef349fb3fcdad196', '9bd08fc9288bef8b', '7c8fa52ca0fba7cf']; context = [[23, 73], [17, 89], [7, 66], [138, 206], [59, 114], [39, 93], [30, 97], [2, 63], [3, 61], [46, 119], [35, 81], [6, 64], [75, 147], [19, 91], [165, 238], [3, 82]]; loss = 0.015433 low_pass_filter = 0.300
+Epoch 0: | | 32209/? [5:37:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 32210; scene = ['7c2c4da050255c1d', '91d9582339065651', 'ee792446c602a13f', '104b9ff7916ce898', '0b78a91de3da107d', '4f5e6afb29b301dc', 'e0bc3ae8b197bd60', '77be195abbf64956', '3120f0ecd82a015e', 'bbcfab092d76f8e8', 'c20985a3dcbc340f', 'fef87f5dfaea4c45', 'ce5c3a585536ecb9', '960f7b4ccbb15c82', 'c82a25e9661c7240', '7a1e1fd94e551593']; context = [[70, 119], [10, 99], [183, 267], [135, 192], [2, 51], [23, 110], [28, 83], [9, 92], [41, 127], [16, 102], [108, 170], [0, 88], [1, 51], [52, 118], [0, 71], [6, 57]]; loss = 0.012413 low_pass_filter = 0.300
+Epoch 0: | | 32219/? [5:37:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 32220; scene = ['36f0525eb7d3472a', '84ac6a3e4907b152', '3d45a7ecb75b1c0e', '21a820e7aee978c0', 'd0d681abd0e8178d', 'cef0e0c190ab9fb1', '0452c50d0e680d74', 'cdc66f455b937c4e', 'f94fceb720e0f573', 'd279c22ea49ca769', 'd128e1f7a2e15ce7', '5419356104651133', '3bebab9bf5b0dabb', 'd5773b15ed7b3bb0', 'd16c2a35328d8930', '1a59f8c89ca44487']; context = [[26, 84], [28, 110], [123, 186], [15, 80], [108, 161], [5, 55], [89, 144], [39, 120], [74, 144], [1, 50], [31, 121], [8, 53], [70, 118], [87, 162], [7, 96], [39, 116]]; loss = 0.015954 low_pass_filter = 0.300
+Epoch 0: | | 32229/? [5:38:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 32230; scene = ['fb70fdf529b2bb80', '861b079faae400f7', '9c7cbbd9c5d7b956', '28363904a9fa8b7a', '814e39664195ce43', 'd0739df246facf54', 'de4c1e33bb129308', 'd275b7f5d283f816', 'a4a364baa7187169', 'c1dbe882bf1718bd', 'e5ff694aee468c12', 'b1b2d569f690ce97', '373094b17ae8455e', 'c8c4201109bc6d8c', 'af31f3061a804eed', '7f09d838fe8e8933']; context = [[11, 57], [150, 209], [71, 116], [1, 60], [7, 91], [4, 58], [19, 108], [4, 73], [134, 209], [0, 64], [29, 98], [31, 108], [23, 112], [41, 115], [11, 80], [1, 68]]; loss = 0.013333 low_pass_filter = 0.300
+Epoch 0: | | 32239/? [5:38:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 32240; scene = ['d98e4f128e4fcce0', '0fca31f2dbbd79b5', '8722a564706e204b', 'fee2852411318e54', '03c56cb029f69054', '39fde60b3f52a28f', 'e10e3534740a99e0', 'b760e2b61123efc7', '7ed36baf0bf654d0', '1cb9d805b4705d94', '903cfae5f5b1a4c9', '5f0f3067d6e9886a', '5166aa8b1480afbb', 'cd709c2b3b9e8632', '8963fbe72212820d', '14b5dd7a0367870e']; context = [[62, 147], [14, 63], [29, 115], [1, 48], [8, 76], [96, 168], [0, 45], [22, 93], [1, 83], [172, 231], [5, 90], [0, 89], [44, 132], [25, 109], [9, 67], [93, 166]]; loss = 0.017275 low_pass_filter = 0.300
+Epoch 0: | | 32249/? [5:38:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 32250; scene = ['9c9e982632b63f97', 'e7d38a7e5cb0a8c4', '6259f31e093585f5', 'dbff8fae78b2b07f', '7280451b8d7c7f9e', '3a774fead9e1acce', '20023bc0d2cd36fc', 'ef32d6c5ae18f16e', '9dd0efd4b4626604', '618536ae5f39352b', 'c7b8de10ce8003bb', '2d350d7b093abcff', '3551ff5b8a497fb7', '87b388b4e4a77b3d', 'f0af9a1645fffb8e', '1ddfbeb2b016dfd9']; context = [[1, 79], [159, 244], [176, 248], [7, 89], [10, 57], [4, 56], [26, 102], [1, 87], [7, 97], [15, 95], [70, 133], [139, 205], [6, 78], [38, 126], [213, 268], [6, 91]]; loss = 0.014194 low_pass_filter = 0.300
+Epoch 0: | | 32259/? [5:38:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 32260; scene = ['2e1c44ebac2f1894', '67c2fd0b40160790', 'ff4f097ca6d6df92', 'de891429c0a521b2', 'ee57aa9dae00cb90', '4cd9adcbfdce1f77', '46abbc7e39a5c1ce', 'cc8e19c8ad1846f4', '18142d2a72ad8925', '4ab0fc22f4d9bd6b', '38e8301a4405eca6', '311590a1d4eb0250', 'f0a4dbea41f2d807', 'e1e317857deb7afc', 'db1f52253a43d24a', 'b88f894e76cd5f18']; context = [[148, 209], [49, 131], [66, 134], [0, 45], [47, 117], [14, 85], [4, 60], [35, 121], [20, 82], [4, 49], [8, 60], [94, 159], [97, 157], [13, 95], [15, 67], [0, 66]]; loss = 0.014011 low_pass_filter = 0.300
+Epoch 0: | | 32269/? [5:38:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 32270; scene = ['e1cdd73fcf663dff', 'a2c3934b695a1514', '30ad1d6e17b4922b', 'b06d8179dc790851', 'c18059287117dc42', '95944b694ab2fe24', '36752f8fe51ec622', '6c57529d23472eaa', '1f363f252ab03f7f', 'afc8e955b8c9517a', 'a1d655a4e5b6c1dd', '083d8700afad2b76', '5b6de14baf07db34', 'ccfe340d043d8e01', '2b5cc7b68737821f', 'b620104d7854f90c']; context = [[2, 59], [188, 245], [7, 87], [31, 99], [58, 120], [64, 112], [19, 103], [167, 212], [2, 63], [14, 67], [54, 134], [53, 102], [153, 199], [6, 75], [101, 171], [152, 227]]; loss = 0.013011 low_pass_filter = 0.300
+Epoch 0: | | 32279/? [5:38:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 32280; scene = ['8a7be9a038e8fdf2', '5d91011e9af716af', '62d7cde738fd81a4', 'da7bad740daf5022', '2afef84c731769b5', '95267dab06e50ba9', 'b5439cf1ce5310d5', '430600db2776f1bc', 'c5d06839404c3d68', '070f5fde5fa6c61c', 'e9473e41345c04eb', '951fd738427071a9', 'e3e1a3f596f25e4b', '06664cf7e79e23e4', '2fa6868d077d8170', '500c86fbe171cbc6']; context = [[126, 177], [10, 77], [12, 62], [6, 52], [29, 88], [13, 70], [32, 120], [111, 184], [53, 122], [3, 86], [23, 93], [27, 92], [26, 90], [22, 101], [52, 134], [15, 93]]; loss = 0.013674 low_pass_filter = 0.300
+Epoch 0: | | 32289/? [5:38:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 32290; scene = ['b8655d4d9aa7c683', 'e3724fcddb4e902b', '3611b0062e270442', '21b2e6ed8a28f10c', 'f3b995e8f9462516', '09d9154d6c630d79', 'f8c20984cae1a403', '8671d2e1c7136668', '0a5bf8a3d858f282', '39a2e6d8f621cf32', 'f0c29577a92bfad0', 'f57ea5136da9cd92', 'ad7c9253e7d65d04', 'e21a16028be3075e', '2b35a338eb3591ab', 'ffd3128005af32a5']; context = [[50, 131], [13, 97], [63, 125], [1, 71], [8, 63], [0, 57], [49, 123], [10, 58], [6, 56], [15, 99], [0, 68], [38, 125], [6, 72], [28, 107], [18, 79], [167, 246]]; loss = 0.012315 low_pass_filter = 0.300
+Epoch 0: | | 32299/? [5:38:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 32300; scene = ['130130a2cc332ef5', '6d7d054e6fe65eaf', '8d78cbb84609b5ec', '6f5809b57f53e0fe', 'daa71cd8881b791c', '2fdab7cfeb3b241a', '6c9d82e6f2c4ba12', '9975000a90e2f784', '6fef109bf0bddcb6', '9e62da9ea512c1a7', '06d2195775879d81', '60dcc267282f1fc0', 'a50264d47574cd73', '81827d2d1e0ae088', '87898f9c70c2ba3e', '60e4d5baad1d2958']; context = [[195, 271], [0, 63], [77, 132], [2, 67], [148, 213], [35, 115], [0, 84], [13, 59], [0, 52], [13, 58], [20, 95], [66, 126], [11, 90], [23, 97], [2, 92], [39, 109]]; loss = 0.014998 low_pass_filter = 0.300
+Epoch 0: | | 32309/? [5:38:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 32310; scene = ['791584728efe6819', 'b623469ce6a192b4', '2141310d71b642a9', 'd3945e2d45baf272', '3e225c8b42d43e44', 'dd82c46ef577b180', 'da3b8bbb9c844106', '37f4ab2b7b9dfee4', '6046ec5dc77a4333', 'f029eb0528f84f0f', '4081c5f1a32fd553', '37cc67b598851df4', '8b37b8fff9ba87fe', '6de25aaf3ed2b3a6', '571d919cdb03eb35', '2ef1fd060ed912cb']; context = [[22, 75], [1, 80], [47, 96], [87, 177], [70, 144], [10, 71], [20, 98], [0, 83], [2, 88], [11, 78], [18, 73], [1, 49], [36, 86], [5, 82], [87, 176], [10, 82]]; loss = 0.013739 low_pass_filter = 0.300
+Epoch 0: | | 32319/? [5:38:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 32320; scene = ['089cbe98ad3beddc', '655234c2b421904f', '44d3acc81bf24865', 'd4c8ef2d288fd1bc', '76f53a277c8e50cf', '8350ca162073edcd', 'b0cd0ca07dcd39c5', 'e3ba6e3bdd825f58', '852e8a381533579d', '3e80fb033bbfed2b', '8e9eb230b85b4a44', '10e3f0351bfe9b3f', '130af3512af8212e', 'd512b75d3003b980', '7358270a2e72cb94', 'c5ad91921ecc1b3e']; context = [[10, 76], [0, 72], [100, 167], [19, 83], [58, 104], [63, 119], [26, 73], [0, 45], [2, 49], [59, 142], [81, 147], [53, 120], [26, 94], [39, 84], [60, 109], [30, 94]]; loss = 0.014493 low_pass_filter = 0.300
+Epoch 0: | | 32329/? [5:39:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 32330; scene = ['e1e1596e697aa967', '80c01f118ad95ec4', '55c7da6a9e83d3a7', '4fa8ea842dc6c780', '1557cec46192303f', 'fe0e0778afc3f27b', 'ec83684b0a0e9aff', '303a4ea29cb63cbe', '4fa0b5f07c785cd6', '83192342586c4884', '42014bc343bbe932', '6fad7d90b7b6d111', '628d53c4fa7f75e6', '02ae95aab1b4932e', '3dfdc1b6c7b658e3', '80b04e7c5d21facf']; context = [[8, 66], [1, 54], [106, 166], [80, 129], [127, 210], [46, 128], [10, 87], [28, 107], [99, 157], [131, 186], [27, 83], [47, 116], [14, 100], [12, 64], [86, 142], [14, 96]]; loss = 0.017533 low_pass_filter = 0.300
+Epoch 0: | | 32339/? [5:39:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 32340; scene = ['f59f1231a6194510', '6da93982840c7f27', '9be3165beb073d95', '399d4c691a973f9c', '89c1218ebe194ede', 'c040886eda9e8efc', 'fd7813e7f6b9c6fb', 'a67599645b90125f', 'baab02d64ec03a56', 'f7b7405f352d53a3', 'dbdcfa52c1ec70d9', 'b15464eeb58ae743', '5ede369220cc16b1', 'ff83cd13bfb4cb64', 'a6990abb3591ce5a', 'a242e4699cdcf0a0']; context = [[21, 84], [37, 82], [0, 90], [6, 86], [13, 62], [8, 58], [17, 63], [22, 81], [16, 79], [32, 84], [66, 151], [168, 237], [0, 48], [6, 68], [7, 87], [10, 92]]; loss = 0.014840 low_pass_filter = 0.300
+Epoch 0: | | 32349/? [5:39:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 32350; scene = ['9328af3177adc783', '2ceb6c5a7b8e7d52', 'c1fe773fdeb1a972', '24f919db9f3b1445', 'cd60c1e602023a78', 'b9c8b11a5063e930', '7aa14ec3129d58e2', '9fa595fa4e09943f', '8f8d360604f220f7', '99d999ed61776749', '2edee3bc2b071498', 'fc9f71327402e98d', '0fd39c0d034b543c', '230ae34894c1c55e', '44f7cff95f075ff6', '2b1617be8567c1a1']; context = [[16, 97], [7, 87], [2, 54], [8, 69], [101, 179], [26, 113], [121, 203], [0, 49], [14, 70], [11, 72], [37, 92], [7, 88], [14, 81], [14, 63], [1, 55], [16, 63]]; loss = 0.013459 low_pass_filter = 0.300
+Epoch 0: | | 32359/? [5:39:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 32360; scene = ['6ef5ea60516dc2bf', 'aa49ea66403b050f', 'b1678aa5fe9e89ca', '7c3e16fde4732eb6', '505e3a60c010679c', 'e1ac0872443deb8b', '8acc319926b0eb23', '8fc39b497270f565', 'd4d8b27aecb163b0', 'd84929bfef3041a4', '99f9a9b680b860e5', '9c0371059c58a78e', '59f3bc69c37fe460', '86bfd95d15e6e77f', '7af8f06cde2e3206', 'ac0818d6a000ee99']; context = [[32, 110], [0, 76], [17, 106], [10, 99], [36, 120], [99, 161], [7, 89], [27, 108], [7, 90], [6, 62], [24, 88], [17, 63], [208, 256], [7, 86], [85, 133], [139, 206]]; loss = 0.014034 low_pass_filter = 0.300
+Epoch 0: | | 32369/? [5:39:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 32370; scene = ['da557a6ffdb660ed', '63c13551f24f416e', '45112304ee4c0c76', '614f6a3fc7936f47', '9dbbebf435a6c9fe', 'ab27c3f931ba3513', '03686e0744810c79', 'eca81d6ee5fbf8ee', '2f3b31991ade4d0c', '43aa765fedc98cd8', '5f6ae80e58f6f518', '5c1c7541c0ec377a', '7c49c2308203f69b', '1bff8030b749eede', '8084d224519a2f6e', '39c37c7704959e01']; context = [[0, 45], [4, 51], [7, 69], [0, 47], [13, 79], [123, 202], [3, 49], [47, 104], [55, 132], [54, 110], [44, 133], [18, 67], [71, 149], [10, 89], [3, 50], [10, 100]]; loss = 0.013517 low_pass_filter = 0.300
+Epoch 0: | | 32379/? [5:39:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 32380; scene = ['50b38521b86dd7b6', '1c55fb30127ca57b', '407f9d609bda4fb1', '29001b836defa11f', '4370ce0518d23280', '19a7f56ce6cabef4', '8a1deda3c28d1572', '79de35a0bf17048f', '85fe0c9de56c57f0', '696e1d29b7f7be5f', '36c9ae4fa8a4aecd', '09f3717e39a68255', '70a2e0e9e66a41b8', '5b95b1ce1be1b6f5', '5b961a7f052e2962', 'c34556d2035115d2']; context = [[101, 184], [31, 97], [42, 92], [112, 199], [106, 189], [0, 58], [8, 65], [170, 239], [174, 225], [99, 164], [144, 192], [60, 106], [1, 79], [106, 179], [38, 108], [13, 100]]; loss = 0.014784 low_pass_filter = 0.300
+Epoch 0: | | 32389/? [5:39:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 32390; scene = ['c7415f2942f33110', '317b285e38d28b32', '4b8623b613080a05', '2c544ff365d58529', 'da32a7df6d00de2d', '4911e381810b09ea', '0339b5d985364b83', 'fc76672a12aa84b9', '754711913b00c193', 'b3c3cf7f3a66f3d4', '23c7b3f8eb89fc63', '56364f463c09b793', '7a5fc640b57dbdf1', '35f4dafa34f48b8c', '18c3f352c7d6dc92', 'bf9d82851f3b3cb7']; context = [[13, 61], [4, 88], [5, 62], [0, 55], [3, 50], [141, 230], [7, 61], [1, 61], [53, 132], [23, 78], [11, 86], [57, 132], [110, 177], [0, 79], [45, 90], [25, 78]]; loss = 0.016044 low_pass_filter = 0.300
+Epoch 0: | | 32399/? [5:39:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 32400; scene = ['ecd5e56d2d3038e7', '6947c411c6295d8e', '6b6f032d1c33702f', 'c371d1ab17ce1fc6', '905b1855f110a802', '0ee1992781f90c07', 'fd89bf7100bbab61', 'c375ecb71ca086ef', '1f30743a571709fe', 'a2943efa8ad785fe', 'a33988847bf8b2d8', 'e7d4009259e5cdc4', '9767647b437c9127', '3bc2b7c5b2244a9f', '54c24727beeaeb16', 'f870b5e7cf884540']; context = [[2, 47], [186, 262], [38, 101], [27, 81], [3, 91], [0, 57], [115, 194], [3, 72], [149, 203], [78, 147], [5, 72], [47, 114], [0, 47], [1, 64], [6, 64], [1, 58]]; loss = 0.010666 low_pass_filter = 0.300
+Epoch 0: | | 32409/? [5:39:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 32410; scene = ['fff4563a61662382', 'fd0a48b3f2045c87', 'f1db4a83947cab7a', 'ebedf7681c04968a', '3b26d9c5685e51bd', '4a3564ac24e69988', '5d4377c186d48768', 'd0a239ccef3fbe57', 'c229a0862750cb9c', '03e4b28a0b73c205', 'e4346a99bfe62ebe', '95a2f55495af7a79', '7d8a6ad17acd0c91', 'dd7e8f13aef0b6f2', 'eba16e2c6d32ed27', '6cf84fb3bdb648f9']; context = [[29, 87], [18, 67], [1, 53], [80, 170], [8, 89], [14, 82], [74, 129], [117, 206], [31, 92], [50, 108], [192, 265], [52, 118], [4, 68], [5, 65], [14, 91], [10, 78]]; loss = 0.015758 low_pass_filter = 0.300
+Epoch 0: | | 32419/? [5:40:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 32420; scene = ['51e1d930d39f35c2', 'bcb825ddb88f6a3a', '083888ddd44982da', 'e44658a3501601eb', 'ea1d7d4183eff93f', 'a45c154e21ffa65c', '8bdbfd0298e5b696', '3dca9c50e63b5ab2', '0569e6e41e18271b', '613b15bcf32abe86', '23d280e44989cfa9', '42041e0a1d0a2be3', '8f3e0781466f9752', 'eb91912e63633cdc', 'bf7e6ccd727d101e', '1450f9c17a54d723']; context = [[51, 118], [101, 152], [20, 104], [18, 85], [24, 96], [86, 169], [27, 81], [66, 139], [3, 84], [3, 87], [17, 71], [0, 45], [24, 91], [2, 63], [14, 73], [12, 74]]; loss = 0.013936 low_pass_filter = 0.300
+Epoch 0: | | 32429/? [5:40:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 32430; scene = ['6d82a86ea798d28e', '5801bd8ed3baed75', '36e81bf863b582ed', '58862a8fe2c91894', 'bc7cc2b25b604fce', '6bb1fe38f50ee2f6', '9512235a3b0e6bc2', 'e27944e20f739de1', '48f39fdb36aced7c', '49905e5c42e7463b', '2403dfbc8cb4d693', 'e8dedfa84d3d44df', '2362cb1176998093', '4217a1276000f915', 'e49ae09c86374272', 'e7ed20f72e550232']; context = [[23, 68], [166, 255], [140, 204], [17, 78], [13, 64], [1, 80], [24, 83], [4, 61], [40, 103], [0, 56], [6, 72], [8, 63], [34, 122], [36, 114], [125, 178], [43, 96]]; loss = 0.014755 low_pass_filter = 0.300
+Epoch 0: | | 32439/? [5:40:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 32440; scene = ['48e77e81f9cbdd74', 'a01f09a89dcbfa6b', '6017ad334569af05', '67432bab2df90757', '98cdac82b2f07d33', '6d2aba5635856d3e', 'c205af61996dbdcd', '1711420f306e72a1', '1cf9d60e66ee8426', '847b7d96b0c6a961', 'ae79d23e605af001', '6ae1434f2405cd0f', 'b1d6229612a04f49', '9373238177cc285b', '0289cb22f867136d', 'd81e8a20c72c1d7f']; context = [[5, 53], [34, 106], [58, 126], [30, 101], [0, 50], [3, 71], [4, 54], [14, 98], [5, 55], [17, 101], [5, 90], [27, 72], [10, 75], [0, 79], [114, 169], [0, 77]]; loss = 0.012904 low_pass_filter = 0.300
+Epoch 0: | | 32449/? [5:40:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 32450; scene = ['f28c9736b5f793ba', 'c7b726bf41c7363b', 'cdbf2daab70da231', '902b883e64040f9d', '8edab48b06f54f71', '6f80f712aa61163b', '02eeda3b542d1d7e', '84f0427dce7aa8e8', '14650774e873da4e', '17c1137ab9e3476a', 'a35cb35e346f53ec', '4e23f94bab54bcc9', 'e3df9ed8e798622e', '5124ebe5d4b1a159', '6dd9d6b7d9cffbcd', 'b18af2824bde5451']; context = [[0, 47], [0, 45], [16, 64], [0, 69], [14, 82], [2, 69], [126, 195], [43, 108], [2, 47], [1, 47], [44, 93], [164, 212], [106, 164], [41, 106], [93, 165], [0, 56]]; loss = 0.013476 low_pass_filter = 0.300
+Epoch 0: | | 32459/? [5:40:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 32460; scene = ['512e733e9b6750b6', '3588695d454bc073', 'f5f7f251029d37ca', 'c332b84a0367cb40', '7393440fa9d09ce5', 'b14218425de581a3', 'ec9c832395ebafd3', '1057a6e3f56027db', 'b5f9c063d62c94bb', 'ae5c9d3ff27febcc', 'c7e3e49c23394d54', '88915870f178a401', '74868afe3b7a2909', '423064e2a85f7c27', '92cef9a878526dc5', '87c36e657614f7b9']; context = [[141, 219], [31, 84], [7, 70], [8, 95], [57, 102], [5, 64], [14, 62], [2, 48], [32, 102], [1, 89], [83, 130], [0, 50], [14, 64], [15, 62], [4, 55], [4, 62]]; loss = 0.014679 low_pass_filter = 0.300
+Epoch 0: | | 32469/? [5:40:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 32470; scene = ['4b12e17c628925ce', 'd966e7c0739c36a8', '3fe42e802362cbe4', '93211c8c0ea19307', '829c847536f4ed7c', '1dc62abce9e47288', '3b3874fb0cfc671e', '68f0e62572201999', '61e661613b2d25d3', '8c058dcde89e65b1', '167ec6176da15b0b', '52b31b38cde73e3d', '240fa5526bf92b4b', 'c9be10016b5a04d3', '0b8f65a906a21f2e', '011b7380ab15b710']; context = [[48, 99], [6, 71], [79, 147], [156, 217], [119, 195], [54, 100], [2, 78], [56, 128], [4, 51], [0, 67], [0, 52], [4, 87], [6, 60], [4, 69], [31, 76], [1, 49]]; loss = 0.012395 low_pass_filter = 0.300
+Epoch 0: | | 32479/? [5:40:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 32480; scene = ['b6c4901a41fed652', '224c90a016589fec', '3093cfc489c8cd2f', '4d850750a62bd77d', 'ede431bc93326650', '86835c317170bf20', '04771067522799aa', '9ce639a6cb107f96', '198f357c1ecbc101', 'fe389d965307b43e', '1b0f8416a476477d', 'f911860c36c9e08f', '09df9e8df2a992b3', '85fe5f7406271038', '84efc174170d74a5', '8feb08cb2053860c']; context = [[0, 45], [58, 106], [55, 129], [96, 171], [13, 70], [0, 73], [14, 98], [1, 47], [67, 150], [53, 140], [28, 118], [2, 70], [55, 100], [5, 91], [0, 46], [17, 79]]; loss = 0.013826 low_pass_filter = 0.300
+Epoch 0: | | 32489/? [5:40:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=27.30, train/active_min_children_step=1.0train step 32490; scene = ['23174a6cd65a0731', 'f5bc5f1993328821', '7229136d82d37912', '308ec88c1ad9b768', '81069f82e3a23374', 'b5869252c17178fb', 'a8416be94ccb0830', '80b864557a450ae2', '0debef767a55a79a', '10d9a0027597c2ea', 'dc94561089b65d67', '3646da58ac845d22', '643a10cbf6ab59b3', 'a715211071a30da7', '2be357b276414745', '62b027bd676715d2']; context = [[21, 68], [26, 76], [57, 128], [113, 159], [1, 46], [28, 76], [2, 61], [0, 57], [6, 56], [6, 91], [0, 74], [7, 68], [10, 75], [19, 82], [26, 87], [8, 68]]; loss = 0.014485 low_pass_filter = 0.300
+Epoch 0: | | 32499/? [5:40:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 32500; scene = ['63686d76e16857b7', 'c3af86032dda0736', '8a3e27e005fffbab', '418c210e92cf4fcf', 'd21e4b33834b837e', 'c9ae23235b5e966c', 'e028291f59ca1af6', 'b3159a384b90871e', 'a8ecdf04c7651cf4', 'abb7b4da2c73b7af', 'df4320d8eb103685', '78571463ec1147d0', '42928282597bbae6', '05b07df7b5443976', '5f50c0139db3d146', '1c5722cd92190398']; context = [[8, 54], [0, 67], [36, 104], [27, 72], [45, 126], [174, 231], [5, 59], [6, 64], [33, 114], [162, 245], [0, 46], [7, 72], [36, 95], [6, 87], [14, 75], [23, 74]]; loss = 0.013196 low_pass_filter = 0.300
+Epoch 0: | | 32509/? [5:40:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 32510; scene = ['d024eef2f34c2301', '9497d60823d53c30', 'b3565cc29d609e00', '12c4bf5b80f0ff46', '7036714988a42b40', 'b39fb5a378831f09', '8539028ddcf147af', 'df78124596454938', 'ed9856a72ec8a92f', '6a9afe3c40c97c88', '4ea7a2331c46c572', 'cc36592f7efd1256', '658fd2565c2cd3bc', '26e37e586c020680', '02ea4129dd5d7b3d', 'cf977b0362ca2e4b']; context = [[7, 55], [40, 94], [10, 96], [22, 76], [8, 55], [23, 90], [71, 119], [22, 99], [77, 130], [14, 72], [123, 179], [8, 57], [3, 78], [13, 71], [18, 78], [20, 95]]; loss = 0.012808 low_pass_filter = 0.300
+Epoch 0: | | 32519/? [5:41:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 32520; scene = ['aceb9b9af0f6ee12', 'dea6de504101d5f9', '68e52b18939a35c2', 'fbfeacca8f4ee706', 'd17b55c9f2f56a6e', 'c89ff411c9330647', 'a6bb47e81005f9c9', 'f7670e3ea31bf549', 'f756d07317733648', '9e54198274c8c179', '3abe804bec3e5034', 'a1b468ded79aa1af', '864b34d440c2299b', '2f46c69ead5eb60c', 'a1befaf25895a398', '4c6c644f6d9d56bf']; context = [[0, 47], [116, 202], [3, 69], [27, 93], [5, 64], [5, 62], [211, 262], [2, 83], [0, 77], [49, 114], [1, 47], [96, 186], [19, 73], [1, 62], [51, 138], [30, 82]]; loss = 0.012713 low_pass_filter = 0.300
+Epoch 0: | | 32529/? [5:41:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 32530; scene = ['608b389e6d305bea', 'b70eb4b085094e81', '68f00fec2c235f18', 'accd0979881dc01b', '9efb87ace2c44272', 'cfadaab5681b639b', '5e8fcb22d403ff9c', 'dc7969f442e319bb', '4ad63c0c1a8d9798', 'ee05b13cdf928ba3', '66e4f3268dafe823', 'b382a321245b2789', '33eca79b369a3ed1', '6a7fec6b244c5d59', '2e4cb954129dbba8', '9cb320f193eedcc2']; context = [[62, 143], [42, 106], [6, 72], [38, 126], [116, 189], [31, 92], [61, 132], [101, 150], [35, 89], [0, 80], [5, 73], [113, 200], [158, 239], [12, 102], [43, 133], [55, 111]]; loss = 0.012304 low_pass_filter = 0.300
+Epoch 0: | | 32539/? [5:41:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 32540; scene = ['2010caa12547cec9', '0dbb3494ed500eae', '5ce43e240dbf8704', '00c5fe571a003deb', 'f21373f17f775031', '098551f9c9f62f6d', '4b549a864a5d14ca', '7d70f269a4d75034', '0b10bd983b7904f4', 'bcda5a73bad164c5', 'b0cd0ca07dcd39c5', '3e80fb033bbfed2b', '7358270a2e72cb94', 'e3ba6e3bdd825f58', '852e8a381533579d', '130af3512af8212e']; context = [[1, 55], [5, 84], [0, 69], [17, 97], [63, 144], [0, 59], [0, 47], [12, 65], [118, 170], [14, 101], [24, 79], [110, 175], [17, 64], [0, 45], [21, 77], [64, 134]]; loss = 0.019539 low_pass_filter = 0.300
+Epoch 0: | | 32549/? [5:41:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 32550; scene = ['55a4f53ea11c4186', 'a2602fd97782849b', '6abf8136b97c8097', 'cc1e7de736af9052', '7a200b3b294ff1bb', '68bec0ed2e14240a', '5bb86dc9720b2b35', '5b28749eb4d7de82', '03bda04a27d82a5b', '25b0eca63679edf1', 'f0c6eca36ae4f4d0', '10bab84cee9b19b9', '8006cf47aa5e25c5', '76e8408579a8def3', 'befe38a3528534de', '7c28754cd17d1002']; context = [[154, 203], [0, 61], [18, 80], [56, 101], [42, 115], [0, 49], [4, 71], [14, 94], [6, 51], [0, 68], [18, 97], [76, 162], [43, 119], [66, 127], [51, 123], [2, 78]]; loss = 0.013625 low_pass_filter = 0.300
+Epoch 0: | | 32559/? [5:41:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 32560; scene = ['db9a067011e8c6a8', 'fe3e8063136b92e1', '890e507d5a12b8a8', 'e7ed95d934000bc7', 'f6e701bd222dd505', 'c762c950834c690a', '2e23dfa9044cec15', '2cd2fa61f9eb2855', '084ecb5641790e02', '8293c91c983ffd04', '478f0a6c4da62982', '636edc6d973636a8', 'b78214a799408691', '08e11b45c331ea9e', 'b28f52f3b7b8805d', '8d58f021f42db09c']; context = [[43, 127], [40, 95], [8, 77], [11, 64], [30, 95], [3, 50], [209, 256], [85, 168], [27, 116], [191, 272], [21, 99], [27, 93], [15, 78], [176, 229], [48, 101], [39, 124]]; loss = 0.013122 low_pass_filter = 0.300
+Epoch 0: | | 32569/? [5:41:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 32570; scene = ['d802e660adcae582', '92c89cf29ee6c8b8', '9c6dbb44ea9811f4', 'a832bedba626085d', '84c73e4976f859ef', 'c3919bfa4fe57c63', '137af3bde9d9b5f7', '2e9403daa9e6a49f', '5312ab668858f2ab', 'a3439560db09ab8f', '82b7b62ebd42efdb', 'f5dab08eb895b9ee', '18482d88135a659d', 'a598bd417ed1330f', '9aeed3186526f351', '5b1868f7fba0e332']; context = [[42, 123], [109, 186], [61, 113], [47, 115], [4, 87], [12, 77], [1, 73], [176, 242], [152, 207], [205, 269], [29, 91], [14, 97], [10, 68], [82, 131], [20, 96], [0, 52]]; loss = 0.014455 low_pass_filter = 0.300
+Epoch 0: | | 32579/? [5:41:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 32580; scene = ['95c55e723bfd68fa', 'ce417ca74c6ce0a4', '8efcb7e9a81c2261', '1297e85443bade59', '93d0907e4e9dfc64', 'e892b47d9040ac89', 'f26a68de5e50e0f2', 'ea9b827d14fea943', '7822e98d0f6f0d03', '9f2706cf87e01b5c', '6e34b09401a80bf5', '6b018f51e78af306', '4413283f8f97206a', '9523e0e2d322570f', '400775a9888882c9', '18b21a1183738b21']; context = [[7, 60], [6, 82], [2, 63], [16, 74], [155, 235], [46, 130], [130, 187], [4, 62], [11, 62], [0, 45], [1, 63], [2, 49], [62, 141], [54, 108], [72, 157], [46, 92]]; loss = 0.013993 low_pass_filter = 0.300
+Epoch 0: | | 32589/? [5:41:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 32590; scene = ['1fc20dbf49022bb0', '4f3b2263d2a7347a', '52b5cc4edac20b1d', '076a35926f218f1d', '4416aca1509427f1', 'd573d6a8e9eb3c07', 'ff386ee63e9a5979', '35f616539109376c', '06c7cb360e434de5', '0ea03727e64c2e53', 'f12488eb2f36d1ea', '7567fe94d4fba9d7', '68d0e78200de8dbf', 'a0493b972780d9ae', 'dbbd2d62968c2aab', '38d02514748fce78']; context = [[58, 105], [51, 120], [5, 65], [43, 98], [4, 71], [1, 88], [34, 99], [12, 60], [19, 66], [20, 86], [77, 127], [1, 56], [64, 121], [13, 70], [65, 141], [88, 155]]; loss = 0.014251 low_pass_filter = 0.300
+Epoch 0: | | 32599/? [5:41:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 32600; scene = ['bdb2281a7c9f1ce5', '7432f21de1ef4c33', 'd77284dc9b9d1031', '4412131879034bc2', 'c270572a7f5ea828', '4e87d89c2b4138cf', 'ee28455c2e76ef79', 'a9272405ceec0be2', '51a634a44dc01dd4', 'f14721fab585c585', 'd011c2b2ac6ccc0d', 'af05da9be7d6a571', 'd8445efc40a8fca8', '955a97a7a74e8e5e', 'f97098cf86a9c9f0', '09febe2e537391da']; context = [[0, 54], [91, 176], [75, 165], [11, 67], [101, 168], [0, 47], [110, 185], [45, 126], [51, 137], [1, 59], [55, 108], [20, 103], [119, 203], [22, 101], [63, 115], [2, 71]]; loss = 0.016839 low_pass_filter = 0.300
+Epoch 0: | | 32609/? [5:41:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 32610; scene = ['af639164a8dc63fc', '5fa43f80c9040756', 'be5cd6f87b5697d1', '4e4913bf8b67bc4d', '90510b024ab61074', 'b35b15658218a8fc', 'fdfc7d2f7d5d40e1', 'd28dc379932db402', '5594dc2411668d99', 'a5b8b5455e23f83d', 'd611f058f22ff26a', '1ea7c82f67634b9d', '054a35fa5c03049b', '1d4b7b05128e949a', '3d6ca50dda809574', 'c4bdccc08c477c83']; context = [[11, 64], [0, 47], [2, 47], [5, 83], [65, 110], [9, 91], [20, 67], [0, 59], [20, 97], [1, 64], [0, 48], [154, 218], [45, 97], [20, 95], [4, 80], [4, 64]]; loss = 0.013155 low_pass_filter = 0.300
+Epoch 0: | | 32619/? [5:42:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 32620; scene = ['2177800a0b750724', 'e9b1b085ebc4f705', '816e80127f6e5599', '969c050439c8de79', '91047c3d98f1ad63', 'b328b672fa646e84', '285ea7b514670328', '9430c9da009b1ee5', 'd1df92cb4831bf68', '78ee44257f9539ef', '0fe21abff5401005', '4f4da706cafe1656', '3ce190b5df7d8af7', '721994e114f4ec69', '4cfeb43c09889585', 'b12fb462071f1eec']; context = [[61, 125], [126, 200], [2, 65], [15, 96], [33, 100], [23, 109], [76, 146], [18, 85], [4, 67], [32, 117], [10, 83], [6, 89], [60, 118], [16, 90], [86, 167], [2, 63]]; loss = 0.017137 low_pass_filter = 0.300
+Epoch 0: | | 32629/? [5:42:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 32630; scene = ['4d0c3fee830fa3b8', '9e409d0392d4f763', 'e4f49bede305510e', '810f5259de1dcd97', '7277bcf45f9b2f21', '6883aebc73cdcd2a', '0f35ceaf227ff187', 'd77fc60af718d2e2', '0645a4e5ad941af4', '4dd424a2e0a97403', '99271aa47d803a6f', 'e23f945703f61bfc', '9bebde67fd28d7c2', '81431041a033fbc8', '57a37f6c17fb53bb', '38147dfcaf667f6b']; context = [[0, 76], [182, 250], [8, 85], [212, 278], [122, 203], [42, 100], [25, 102], [212, 276], [14, 90], [6, 90], [194, 246], [3, 84], [56, 128], [6, 67], [40, 86], [58, 142]]; loss = 0.015667 low_pass_filter = 0.300
+Epoch 0: | | 32639/? [5:42:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 32640; scene = ['11c1dce651050522', '43558297b3bf32c5', 'bf5dbe3031dbd6ff', '3209d1a9fe4edac3', '829dca1fdf41c748', '798554da3b801bfd', '0e312299aada689c', 'c349ef13e27da92a', '2ce944c8f052910e', 'db5022b25071fe23', '780a0d44e9e23cbe', '88b06933ce7de77f', 'a7ba4020b667e471', 'c82230f3fd1f06f0', 'd4535d66df0d1477', '97e0b8e8857a9811']; context = [[140, 194], [60, 129], [6, 93], [37, 88], [2, 80], [11, 69], [37, 102], [17, 63], [34, 84], [35, 93], [5, 57], [9, 91], [50, 98], [1, 49], [18, 68], [7, 52]]; loss = 0.011833 low_pass_filter = 0.300
+Epoch 0: | | 32649/? [5:42:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 32650; scene = ['46729494641d0161', 'dc10d847a9adeba0', '03ec93b385b7c560', 'cb656e90448e660e', '4e90b5a00ca1a323', '19a215bdcf369356', 'fa7e7926abc78907', 'a0bb40d77cf75dfd', '2c305d098029d4c6', '8a851c87576299ca', '53f305d17c2410a8', 'a530f041f0c9a958', '48934b9186514432', '608bc741cc654aa6', 'bffbbbfc38c33d8e', '88e9758417739be1']; context = [[42, 90], [4, 53], [51, 108], [6, 53], [102, 168], [11, 64], [94, 179], [25, 105], [108, 157], [99, 178], [6, 84], [103, 191], [52, 114], [104, 170], [7, 65], [35, 100]]; loss = 0.012515 low_pass_filter = 0.300
+Epoch 0: | | 32659/? [5:42:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 32660; scene = ['cc6afbdc106752c8', '56eef01b1b4d5a42', 'e21b493b2dfbb0e1', '90a59555e1643296', 'adbb618cc73e270f', 'ea72c253cf632767', 'c1287b8d9c79bd88', 'bd6928d27fc62fdf', '274a4e4a258897dc', '2d17040e1efd14f3', '6c52c204d0fe9f7f', '9890a01b883b8cbe', 'e62ee8ff4179b4b6', 'c7729ec50d323a67', '0c178168a07f84a9', '5859921034bf353a']; context = [[187, 258], [19, 73], [47, 132], [11, 91], [1, 64], [16, 100], [97, 143], [34, 82], [36, 90], [20, 78], [38, 119], [24, 78], [108, 185], [61, 136], [4, 54], [94, 144]]; loss = 0.015296 low_pass_filter = 0.300
+Epoch 0: | | 32669/? [5:42:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 32670; scene = ['3854ae7e48f9f528', '583428a8466e2418', 'f033b85ca30d272d', '249ee6d00a7493be', '57fc42ea40ac2adb', 'b29d9ccc5a360755', 'cc19896ecea55d01', '433737b2b7f09bd2', '21486cb5a6c5fcab', '2f0650a94d92200c', 'd7e926c740ac7137', '439f12d7997f3297', '13f7f1e85b32c2ca', 'c93c480ccd57d80f', 'ff5cb0ea9ff69da6', 'dda1c0ecd0acce7d']; context = [[3, 75], [5, 74], [5, 64], [3, 61], [6, 92], [113, 158], [44, 98], [28, 110], [190, 248], [221, 269], [56, 124], [13, 99], [40, 118], [120, 197], [16, 106], [12, 93]]; loss = 0.014771 low_pass_filter = 0.300
+Epoch 0: | | 32679/? [5:42:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 32680; scene = ['9e1021e5cad54fe7', '95092053d026da89', 'fcd890d22f3d387f', 'ccd8578b26dbff6d', 'ab067fa527a8fd34', '432de27e612701dd', '91aa7f9c9e2d8e52', 'e736343fa0c1f2dc', '4b8f8220c32ae94e', 'cdfbc43b74ec6a7c', '0a41b171a01b0296', '5b01d99e513c4790', '7f429c7dde9fedbe', '31920d5e39a1eb7d', '0f737b3540b6ef3c', 'bc1897c83ee09425']; context = [[11, 96], [6, 80], [59, 115], [68, 141], [11, 90], [39, 98], [37, 115], [5, 60], [3, 48], [7, 83], [16, 69], [139, 196], [140, 195], [55, 118], [5, 54], [58, 114]]; loss = 0.012783 low_pass_filter = 0.300
+Epoch 0: | | 32689/? [5:42:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 32690; scene = ['a6161601e3a76aa9', '9810e48786be9e3d', '1b4bf9a4a458e0df', '53d5559c250a0f44', '8213e7f3f5d265bc', '71f47ad340f36a00', '496e2618d0fb9556', '6b618bf721772750', 'caee640343f2dc58', '3a0187dbeeea94c2', '97c83a0fe6e01482', '0f917244fa7a3d9f', '5ac7c4ce642f7b05', '2266be279691ad87', 'bd0c6bf55d5f81a1', '959a7457a468f670']; context = [[149, 213], [94, 160], [8, 69], [8, 75], [21, 70], [37, 115], [48, 100], [18, 93], [4, 89], [11, 67], [0, 63], [200, 269], [8, 64], [0, 74], [131, 183], [14, 62]]; loss = 0.012029 low_pass_filter = 0.300
+Epoch 0: | | 32699/? [5:42:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.0train step 32700; scene = ['dac4f52073242f3a', '8ee749d17d3f745b', '3fcfb6d1350e63c6', '61f0ea32761a8270', 'bef7b0cb32548bdf', '55e30611eafb941e', '358651d96dd37c6b', 'e552fbc688a36113', '77022366e4c55707', '554c4773a1d8fa76', '43ee1db1e7636662', 'ee142738b92e9d16', '72bfd3c06f807aa8', 'e2009c92c7495572', 'cad3ed6e8bc9f413', '10e801244cd4bcb0']; context = [[15, 69], [72, 120], [1, 67], [150, 202], [4, 59], [88, 139], [13, 71], [10, 61], [13, 79], [7, 56], [5, 68], [104, 159], [142, 224], [9, 63], [4, 58], [36, 88]]; loss = 0.011232 low_pass_filter = 0.300
+Epoch 0: | | 32709/? [5:43:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 32710; scene = ['6bacd75a12a4a79c', 'f1f2ab311bf11cce', '73918a89fd11ca1e', 'e0f1516dff86e499', '4f4b62095d035442', '24052f7618e5b23e', 'd407e9cd865ce4a0', '1f44f9200820c142', 'ac522c134dfe7713', '3aa408880547719d', 'e3221f6e2e4298b4', '61c1a8c9a5bbb249', '90a596bfb6501865', 'f86a5df27270cd63', '01c72bfd2acc1bf9', '155bdf703c9d2c78']; context = [[9, 84], [2, 49], [9, 96], [44, 107], [1, 62], [54, 137], [121, 188], [32, 108], [181, 251], [29, 118], [72, 152], [21, 81], [37, 110], [10, 72], [19, 89], [2, 76]]; loss = 0.013931 low_pass_filter = 0.300
+Epoch 0: | | 32719/? [5:43:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 32720; scene = ['3b74c3f144474d24', '921a2747f28f1aee', '57cb1fd49a354fba', '8fed2c4e70775877', 'c74c318cbdc27580', '4b7634eee1c5582f', '0407190c3f727c9c', 'fcdcc79356464898', '43f2fea0a0027461', '039a82846f63ce27', 'df73e3e6ea5086d9', 'ae7636cbffdb1d35', '2ecfe92d63af8e8c', '02696502ea9fd95f', '98b704ffc9ad975b', '185dd19a374374ee']; context = [[0, 70], [0, 79], [182, 260], [3, 52], [8, 94], [53, 122], [20, 94], [17, 107], [61, 146], [24, 73], [2, 54], [11, 56], [0, 70], [2, 68], [1, 68], [0, 53]]; loss = 0.012885 low_pass_filter = 0.300
+Epoch 0: | | 32729/? [5:43:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 32730; scene = ['f19b7c0f5aa40c31', 'c64ea38f6d3f6b4c', '1090723b42878041', '81f004ba91540bed', '53c8ed7e5b5a87b1', '50ed74eb3943626e', 'f1242539d1b2a86a', 'ee23a3b386446cf6', '6db759d88e9613bd', '03e725043bbd34f9', 'd0e191889f83b0b1', '5171530b8fb8dec4', '3c5994c8cfae8ae8', '2ee1f2224cbb851c', '9017942635379a68', '81dfef60844b98c3']; context = [[3, 68], [49, 99], [92, 172], [11, 59], [5, 61], [21, 74], [172, 254], [20, 93], [1, 71], [44, 103], [3, 48], [168, 238], [34, 90], [47, 92], [0, 47], [45, 95]]; loss = 0.016363 low_pass_filter = 0.300
+Epoch 0: | | 32739/? [5:43:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 32740; scene = ['a0ae34070cb3cca4', 'ded15efd6c0c922f', '431874e704453130', 'b1944225bfdec51b', 'cf29b3cee31ade08', 'd6160bc8f7c485de', 'ae44237850cc858d', 'c58536994138fae3', '15cf3ed7934403d8', '635a6bf8d8bdfb56', 'c1b47e97d4900463', '6ca05333791746c6', 'f556938f650246ca', '220fa19b554d31e9', 'a808409bf8cc67dd', 'df984569c30f742d']; context = [[157, 215], [4, 93], [22, 79], [4, 75], [68, 157], [15, 66], [16, 105], [14, 79], [22, 81], [90, 146], [37, 99], [203, 255], [42, 92], [4, 58], [15, 63], [12, 93]]; loss = 0.011921 low_pass_filter = 0.300
+Epoch 0: | | 32749/? [5:43:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 32750; scene = ['5ffc8eb09eb961ce', 'ce863ce4387b0577', '51a5d8199233c6a5', '79f5d30c0e4b82d7', '8b5d909f93396c54', '40df008be4ea5d13', '380b00a7e0b645f4', '28c9e70c95461472', '06ad777bfa7631a4', '405e78c705fa28fe', '1fd3d6918b5f5e32', 'e258e863df25ba2c', '87a8b7a70aad40bf', '2f19a454ec1f7a71', '2512655496873dd9', '5578bed0fb36c89c']; context = [[5, 50], [9, 75], [142, 200], [61, 135], [14, 78], [1, 62], [42, 90], [0, 75], [93, 176], [43, 90], [59, 142], [24, 113], [89, 150], [6, 66], [30, 80], [16, 106]]; loss = 0.013360 low_pass_filter = 0.300
+Epoch 0: | | 32759/? [5:43:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 32760; scene = ['49eb4d69de6420a3', '3f793b8c1202aea3', 'e78f54d920ccb3b8', '556db71008eeda6e', 'a6da78f1d8c8ddd5', '30215213e8c710a5', '57374e9e079460f5', 'e0ca570de3d5244f', '11fb88a773d40b0e', 'f38d65464a5edac1', 'a5989d5f9f66c05e', '63fa54e068bf95ff', 'a677f7099c189184', '08995d12c844a39e', 'a1d3f2e765955d2d', 'e724e954dca8ada8']; context = [[2, 67], [15, 85], [5, 55], [47, 125], [75, 161], [58, 129], [0, 79], [30, 106], [158, 233], [14, 104], [0, 79], [20, 100], [39, 91], [0, 50], [99, 153], [86, 148]]; loss = 0.012689 low_pass_filter = 0.300
+Epoch 0: | | 32769/? [5:43:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 32770; scene = ['bad907b1dbed2520', 'c0ee81f4dcfffeeb', '1d885b5bf6000744', 'ea7e2922dd2d95d5', '25507a5d451e4b3b', '3aaa39b2d1fc8853', '0d24a9841d825fe5', 'ac0880525e3d3c59', 'f19c1b266757f967', '46ab911d11ef310a', '6cbd015b79bdb917', 'af241626c1a84f99', 'f648f8f5c2704677', '9b019ad156230e3d', '56ecb1658ea79417', 'b2d281a2a3be0076']; context = [[23, 98], [162, 230], [44, 105], [25, 105], [43, 95], [11, 68], [25, 110], [57, 110], [3, 61], [1, 46], [19, 99], [55, 136], [6, 76], [50, 104], [15, 65], [16, 82]]; loss = 0.014685 low_pass_filter = 0.300
+Epoch 0: | | 32779/? [5:43:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 32780; scene = ['2643d60a731e5d92', 'ed9d715df2eed57d', 'ae86f4f62bc05ff2', '76b44b96d0d32f80', 'b4cc4802ced85f9b', '337fa3b41c4fae47', 'b8aed6b43cd738c9', '625bfa26d60c3834', 'db8980a4fff2a867', '8c94caf12479d825', '019368aa1220be29', '66871960d1c17672', '473a20d1abe4678b', 'afc8f7ec2c878521', '2f7f7a188ae8bc11', 'd33060884405fb51']; context = [[40, 129], [12, 90], [92, 140], [4, 57], [19, 90], [28, 108], [50, 102], [31, 95], [11, 69], [178, 257], [65, 117], [0, 49], [9, 63], [104, 161], [3, 66], [63, 130]]; loss = 0.015709 low_pass_filter = 0.300
+Epoch 0: | | 32789/? [5:43:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 32790; scene = ['fc5fa84e743ce38a', '51447f206012bd67', '542f788b54f5eb78', 'f8592fafdd1f3d42', '6da1eaa04a8a2a4b', 'df2fd0844e036d63', '1b9047e52a748f09', 'e9b908cc0c604c48', 'bf9f368eb8ec8cd6', 'aa419c5bb667ac9d', 'b9c81998d729a211', '97d29bd86a6ef279', '86484f4e15b5b0e8', '67adab670d503371', 'a81a866ab3a3399b', 'f8498de420424276']; context = [[19, 92], [21, 70], [31, 101], [50, 138], [6, 59], [50, 99], [47, 134], [9, 81], [5, 75], [74, 141], [99, 167], [52, 112], [25, 73], [12, 57], [30, 75], [31, 104]]; loss = 0.012931 low_pass_filter = 0.300
+Epoch 0: | | 32799/? [5:43:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 32800; scene = ['ed55991691ca8f5d', '1cde7ff2620f4438', '066f14037c220103', 'd56c1a8226330c78', '4fdf912b92efb480', 'e0dddcf15685b912', 'a99d97f3a644e3a5', '6cae87d4fc3fdd5a', '4d50d0f381e18888', 'f75bce94129f67f5', 'd9963ae38f556282', '2827b4eef2b7e4bc', '4e880a960d7a6652', '9406e378a81c4337', 'e1d9628095f76a9f', '513a12aeb585199b']; context = [[115, 162], [55, 127], [85, 141], [34, 87], [13, 72], [41, 86], [27, 87], [0, 75], [164, 248], [2, 87], [1, 69], [10, 94], [21, 70], [9, 81], [13, 92], [19, 88]]; loss = 0.013718 low_pass_filter = 0.300
+Epoch 0: | | 32809/? [5:44:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 32810; scene = ['55f82df26da1032c', '6452c61ddaaa86ae', 'e221cd799535d6b3', 'f6a87eade96cceb1', '535164aa3d707090', '74520135ed4d5b46', '98303db8f6edca81', '17bfe61015a33214', 'a7fb440edd22ab41', 'f02eee498ee1d3bb', 'a35acc1a9bd7c951', '2821faf83e638b87', 'efe8e0f7732365aa', 'f1c0d2a78d066bc0', '73e74277063e5ee6', '41d2fc0bf09f8ad8']; context = [[46, 119], [2, 57], [19, 64], [36, 84], [7, 86], [2, 80], [1, 69], [201, 250], [137, 184], [22, 102], [12, 83], [19, 72], [49, 139], [48, 106], [57, 143], [72, 155]]; loss = 0.013281 low_pass_filter = 0.300
+Epoch 0: | | 32819/? [5:44:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 32820; scene = ['d5108e50ecef6f1f', 'd8125dfecfba4a01', '4b6ce8f7863bb02a', 'e4b3ebbbbdeaf6bb', '908d4889612ec67a', '5aeab7079ca7b9b6', '41e8dcaf7ef2bf68', '2e79d17afade86ee', '3d0b42f411e153b2', 'dbe6e6e1e66713f0', '25aa9067f42c7d07', 'f3177ab889fdfa01', '3dcf1ca50193e3bd', '1dca2085d171e0f1', 'b05e1497f499cfd2', 'fa3459aae14f9fbe']; context = [[19, 85], [81, 127], [33, 100], [10, 71], [86, 154], [6, 66], [173, 246], [40, 104], [131, 183], [38, 89], [5, 66], [11, 96], [160, 206], [24, 104], [0, 57], [45, 125]]; loss = 0.013071 low_pass_filter = 0.300
+Epoch 0: | | 32829/? [5:44:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 32830; scene = ['c9154135faca16c1', '618c5651f735369b', '3eb6b3f90098d44e', '9e16e2db38feb337', '592ade6974acfdb8', '47e15ca04ec95d65', 'ec886701c15545df', 'a8e9ca9fab2a02e5', '2e441fa2f9846685', 'ea39ad8b69cc5787', 'ae58510a79871955', '5084495f5b630b32', '5e961818fd67db46', 'c5c88eecdd77f9b8', '81c35e623d41d313', 'd83229b1361fea1f']; context = [[9, 69], [1, 52], [63, 119], [22, 101], [8, 85], [201, 249], [1, 50], [127, 190], [89, 150], [7, 56], [64, 145], [118, 165], [7, 59], [2, 64], [99, 187], [116, 201]]; loss = 0.012022 low_pass_filter = 0.300
+Epoch 0: | | 32839/? [5:44:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 32840; scene = ['dfc00e500e9b07b5', '34c2a8d43980e026', '342ff7b7111b53c1', '282b95c2d5b02aec', '7aee2acb4f5549fb', 'abf0c599a085b9d6', 'a8a7011e5635f573', '2078f6045897c62d', 'a88e6e4992baf949', '9852a225cada2c5c', '2cff0e3dc7de8227', 'cd7f1b0e5cdee756', '3b3c3029ddb0c262', '9af2565a661129f6', '67b3a3c355535c14', '82727d8f1a3947df']; context = [[23, 81], [23, 89], [153, 221], [21, 70], [11, 70], [52, 114], [3, 60], [20, 77], [4, 63], [65, 131], [50, 131], [127, 191], [19, 70], [3, 56], [37, 105], [28, 87]]; loss = 0.015466 low_pass_filter = 0.300
+Epoch 0: | | 32849/? [5:44:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 32850; scene = ['3e225c8b42d43e44', '6de25aaf3ed2b3a6', '2141310d71b642a9', 'dd82c46ef577b180', '56afbceba5dbca26', 'a229ba49a0c8954b', '295a34d006c56b8b', 'f97c44861fbf71e9', '010791e6ad880079', 'd8e0ae0706b525ed', '6053d23b7255d9b7', 'bf5f57cb8135b8b2', '89901ed89e088325', '96d295b8471eb1d3', '7eec4596331ce590', '958fe0064cdf4fa3']; context = [[158, 204], [10, 80], [22, 93], [6, 75], [22, 90], [45, 101], [63, 129], [0, 85], [10, 83], [47, 96], [0, 88], [112, 200], [107, 180], [132, 214], [14, 95], [2, 92]]; loss = 0.014172 low_pass_filter = 0.300
+Epoch 0: | | 32859/? [5:44:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 32860; scene = ['d7ea3145a7a8262b', '6994285e81ff9803', '6271f6262bfc9913', '8663a913aa496524', '0d6138b694fccd7f', 'd0ba2deef24520ad', '246e565e2c905720', '359b204bba293f5d', '9a459290fa63b082', '392f02ff93eed5a7', '085f19c63c2fd05b', '546fc1cd696d81f1', 'ea090263b598c06b', 'd48470f7af2792bb', 'ce0cd3c8e12a97cc', '1cb36e4866699d3c']; context = [[96, 154], [17, 73], [25, 103], [14, 72], [6, 82], [12, 101], [90, 149], [16, 72], [106, 165], [75, 131], [31, 79], [0, 85], [11, 56], [7, 65], [9, 57], [0, 70]]; loss = 0.013160 low_pass_filter = 0.300
+Epoch 0: | | 32869/? [5:44:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 32870; scene = ['fd19a3e4b1433dfe', '88c6dd400bd1a841', '794d1ad842fcfa28', 'a34d97a9bdae3aa1', '53b358344b13e0e8', 'fcfdbee771e76e55', 'cd292583ffac8f4c', '3fffd370ae4313e6', '3a739b8cb2e4e497', 'aa7bd04f00a56e75', 'a5e4fc625c25e606', 'a98b117f5eeebc8e', '9eca4614dd4c2b67', '4f12a1df65e766fa', '33f64ba02f648e3b', '482f8d0365549484']; context = [[3, 59], [0, 45], [27, 92], [19, 85], [13, 79], [0, 80], [121, 173], [99, 183], [18, 79], [33, 93], [28, 79], [172, 258], [50, 130], [2, 63], [73, 134], [14, 63]]; loss = 0.012680 low_pass_filter = 0.300
+Epoch 0: | | 32879/? [5:44:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 32880; scene = ['d7903991af942879', '325629d09f769baf', '1c8182e508006626', '5427879336ad21b4', '026cf7182a33e5f7', '5007be2bb9168849', '298da81b464ac580', '5eb1b5d8fa263c07', 'a28f41ab97fb6368', '110a1625755ef472', '5a3ef807cc4e6415', 'ec3ac5aa298bf2e8', 'f73370843951ee8e', 'f9e17273b3868fe4', 'c600946013eb81ff', 'fb580b898c3b2276']; context = [[56, 139], [160, 207], [6, 88], [101, 163], [177, 223], [17, 72], [121, 193], [9, 87], [38, 121], [49, 126], [30, 76], [105, 157], [6, 80], [19, 65], [92, 137], [8, 66]]; loss = 0.012368 low_pass_filter = 0.300
+Epoch 0: | | 32889/? [5:44:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 32890; scene = ['ef9e0c1d4c0b2e88', '8ab89c28abec88c9', 'c02e332cd10f31a9', '5bbaacbbd512b476', '04e324ecc5853826', '59533641941829e5', '0b2967b4f7e897ec', '2a5ba4ced1bda07c', '1f74fa521c9ed662', 'ee308e09e3e799e5', 'c49dfdcdb8ec5967', '6a140ea6d457efae', '11d0d75085bf9ce0', 'a02a9658551d219d', 'aa5e9a3df7061a58', '25a066a44d4fbfe2']; context = [[9, 54], [68, 157], [48, 121], [24, 111], [15, 90], [179, 256], [5, 71], [3, 70], [1, 77], [28, 111], [111, 165], [7, 82], [55, 139], [6, 62], [4, 71], [37, 84]]; loss = 0.031254 low_pass_filter = 0.300
+Epoch 0: | | 32899/? [5:44:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 32900; scene = ['50f863411c708475', '8096cd3a05638ced', 'e8ca4b0be06b0c74', '89905d291f2f7596', '03781fa53fd2620f', '547aef61289e7ad7', '5d072485524c1075', '8fcae49975dab026', '302211facdaf64c0', '0b11c4c2d21a4f1b', '5eaa327da5e98d9e', '92183de07c13c62b', '318741d1904d9cd4', '5b589353ddc3bf10', '78db410dbb8202fe', '22769a18f32b28b9']; context = [[0, 45], [18, 90], [80, 134], [4, 49], [5, 55], [0, 50], [92, 137], [9, 61], [1, 65], [6, 96], [32, 113], [70, 115], [20, 74], [16, 67], [15, 88], [35, 81]]; loss = 0.012815 low_pass_filter = 0.300
+Epoch 0: | | 32909/? [5:45:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 32910; scene = ['72295ce90bee7aa7', '998c1aa4f36f226b', '2e8308c62f9f9d3e', '4fbd23abbcf605bc', '270c92beac8cc380', 'bdfe47d84d96f14e', '2c76592b3759673e', 'c332f47dc4ac19cb', 'f535ef4bae3136ae', 'b721471aeb419680', '1d9c36d49c81ce34', '72ba04bcd23b41a7', '9efdc1e256416028', 'a76159f46f60d60a', 'fe86d8ea3e0d4c7e', 'd164a63a092e62f7']; context = [[14, 74], [3, 68], [13, 69], [19, 78], [23, 71], [69, 127], [28, 108], [101, 167], [8, 66], [10, 62], [3, 54], [13, 65], [80, 160], [14, 70], [4, 68], [47, 118]]; loss = 0.013599 low_pass_filter = 0.300
+Epoch 0: | | 32919/? [5:45:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 32920; scene = ['58aec0707d094569', 'a025eda8d656783b', '6213f1ca0c6ea969', '6256e7117abcbb67', '22b37708b8612541', '99c819b8b500ab78', 'f50f52c1c90097f6', '4c9643bc5c00a8e2', 'df210f03ca47c5d6', '3c6ba750a6cb5a32', '207458446fc799cc', '304ce12451fb8819', '102ac7b6c3347d91', '0fa6f64334a3de81', 'eb62c09a7b9a5f3c', '42cb267decff35f4']; context = [[36, 104], [13, 87], [15, 66], [26, 100], [23, 81], [47, 116], [25, 79], [8, 70], [121, 180], [15, 100], [180, 248], [166, 234], [62, 144], [19, 72], [17, 83], [10, 60]]; loss = 0.010359 low_pass_filter = 0.300
+Epoch 0: | | 32929/? [5:45:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 32930; scene = ['aa41eb9219ec67a4', 'bb6c0a11d8e4853b', 'dc0a77ee6fa4c0f0', '5da080609ee10144', '8e39c6a0d61c34b5', 'c04662871f2300a2', '85c8422975a4fed8', '5f77aafef38661ba', '1e2010822fedf60b', '4c3576f81d93a544', '99e14b2bd8b36fd2', 'e6fec1b42f3417ac', '5c1937db8b78c42e', 'e4a9575f7748ca3b', '122e310820d211d0', '323b8f17eeb721a0']; context = [[8, 59], [45, 120], [165, 239], [4, 71], [3, 56], [20, 108], [144, 231], [45, 96], [0, 71], [223, 271], [0, 45], [2, 71], [125, 197], [22, 81], [1, 56], [8, 72]]; loss = 0.013417 low_pass_filter = 0.300
+Epoch 0: | | 32939/? [5:45:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 32940; scene = ['73cb1b619221b230', 'd3e4e54343a13181', 'afc6d6e1d81b6f8d', 'd2f5d0fedeb5b764', 'f4631a15bc41741f', 'c56961af3b76506e', '7ac2f82f912c0ed2', '8eb8e4b1dfd6afbd', '2c7e729a67e858c2', '274fa63f8728b73b', '506d1a24243d0c56', 'ac0e2fe64dd03fb3', 'c32b840fb71fca26', '4414c58676c9952a', 'a4c5e65a8a1fba1a', '9e8a3ff0ae41f210']; context = [[191, 259], [18, 89], [13, 63], [158, 208], [14, 65], [74, 119], [41, 100], [53, 121], [13, 71], [44, 104], [138, 220], [20, 71], [7, 69], [83, 144], [71, 154], [71, 151]]; loss = 0.016124 low_pass_filter = 0.300
+Epoch 0: | | 32949/? [5:45:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 32950; scene = ['a1be7f06fef9077a', '48ce4a20c406c0fd', 'ad57c5b97bb58429', '091e13eaeab8d3ee', '3a6d9b82bc1e1811', '1bd25e4dbf83be6e', '6aa76a9367546f97', '3c7a782239e61bbd', '483e748adecd82d7', '09130f7f4fc0c0cd', '1ab47950d622bdc3', 'fe1073d78503215c', 'b4cb2ae61bd504d0', '3fa5f0ee7534dfcd', '873a9a6eff1f7e59', '35329059cfe7b236']; context = [[100, 157], [18, 100], [8, 56], [23, 79], [4, 61], [28, 75], [6, 61], [2, 66], [17, 97], [47, 99], [2, 60], [15, 90], [25, 108], [3, 70], [1, 71], [19, 89]]; loss = 0.017336 low_pass_filter = 0.300
+Epoch 0: | | 32959/? [5:45:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 32960; scene = ['775eeabe0a3a5d16', '55bc5c2ac085ff36', '98a0969d2e61aabe', 'e54340dc6d0ff20c', '717355446e5fb6f1', 'ea7648c11d71d569', '0171fad21c2da68d', '2760ce206d026a24', '695a744c7eb7c26e', '1d0db89d39191516', 'e40c1441aec53a72', '569b4f2bbd5ca97d', '31be225a56177487', 'fdd5a412245006ab', '59da33bb38e09821', '44d310a7a2f4febf']; context = [[8, 77], [2, 51], [158, 222], [9, 69], [148, 194], [0, 46], [26, 85], [7, 96], [25, 90], [49, 116], [19, 105], [101, 151], [10, 90], [124, 184], [47, 92], [1, 77]]; loss = 0.016569 low_pass_filter = 0.300
+Epoch 0: | | 32969/? [5:45:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 32970; scene = ['ecbe588b1196e1de', '2a6060b83b5b422d', 'c88d7508d0194c57', '21c78c4ca6f54165', 'c4bdccc08c477c83', 'c5e288f3b5dba40f', '9f9adda8c2f8d43f', '00a861d699fb7797', 'd934b35f87276390', '68173846a9e6a4ee', 'ec49c31e0ed06b52', 'f51448ecfae30d68', '315fee37794761c2', '31922770533c1af8', '7db7d2dd5a83c449', '1261f7352c1da2ac']; context = [[8, 86], [172, 219], [152, 225], [17, 73], [51, 101], [1, 48], [24, 81], [39, 92], [128, 180], [99, 174], [13, 83], [14, 101], [3, 78], [37, 119], [39, 85], [12, 68]]; loss = 0.013731 low_pass_filter = 0.300
+Epoch 0: | | 32979/? [5:45:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 32980; scene = ['6f22ba28e45e2924', '72a9d8a95167817d', '62602df4d400f42e', '593ce715d6f50efe', 'a1a1cb1f687a2607', 'ddc7cb426ce19857', '88e9a2681f097a0a', 'c88763918c3b5bdc', '7245e11c64786906', '9807f8f6ea448e58', '9b24a13077575305', 'da0680ede2d63536', 'd4a3e84b341bec13', '6196f4fa2700b0af', '03acfb465cc3a17d', '7cbf9883cb0c72d8']; context = [[0, 50], [19, 76], [50, 104], [48, 134], [53, 122], [5, 60], [20, 88], [65, 139], [114, 201], [22, 88], [0, 45], [0, 75], [85, 151], [0, 58], [16, 105], [10, 100]]; loss = 0.018225 low_pass_filter = 0.300
+Epoch 0: | | 32989/? [5:45:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 32990; scene = ['e83f2a56d8c098e2', '0f72af29e689aa51', 'a38b5ff05cce2c80', '22ad4d6b24d8eb3e', 'e167c9e3a4ac3ddf', '9be4f7f194641876', 'fd9163677d4f184b', '7c198ea51a55bd53', 'fd76831770670610', '16550b4843bda7c9', 'c6a5d6868de3532e', '35c70af801116b59', 'd4cbeb25474a17b7', '46ea38e907a53781', '53907ac8b877a09e', 'd2bd3a3f16cea877']; context = [[87, 163], [3, 48], [222, 276], [77, 153], [19, 109], [37, 114], [3, 76], [38, 86], [56, 131], [12, 93], [82, 153], [29, 110], [16, 66], [11, 64], [146, 196], [7, 93]]; loss = 0.018140 low_pass_filter = 0.300
+Epoch 0: | | 32999/? [5:46:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 33000; scene = ['4f3b2263d2a7347a', 'ce7ced20aa22c2fd', 'c61bdd4a1ef94c75', '4416aca1509427f1', 'c7a16ca73b5d1a45', '35f616539109376c', '45ebdd9175b3ce86', '7d7bf8fc97c29961', 'c21a51e62f022171', '2b787547ea496776', '9a65de132ab2fff1', 'c9ba8f17c6191867', 'fc6f8e4478f96b29', 'e57a57f50e6a5438', 'a48622051ee5dad1', 'dfe3cbe9ca43aea3']; context = [[105, 170], [60, 116], [15, 84], [2, 70], [61, 132], [2, 78], [17, 65], [189, 237], [0, 88], [42, 113], [63, 122], [85, 139], [5, 69], [4, 60], [13, 65], [86, 138]]; loss = 0.012412 low_pass_filter = 0.300
+Epoch 0: | | 33000/? [5:46:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0validation step 33000; scene = ['4955f54f807ef5aa']; context = [[2, 47]]
+Epoch 0: | | 33009/? [5:46:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 33010; scene = ['5c4700d5f8fdd396', '0b2b8914110fbc5a', '236e91729dc5c710', '05e806980d1b0906', '3fd5003b2ddfc76c', 'e7cfbaa323e6a40e', '39cdcc5feb2f7f4a', '050248d92269fdd0', '39c2cf9a036278ce', 'ff3ecf2ec76ace60', '10a259caf4519047', 'dbdfb42f84f5f2bf', '48e2960495c802e9', 'e705947a8dc11e1f', '0dd6fb899f1e3a18', 'fefee4a630297cdd']; context = [[209, 261], [6, 85], [5, 67], [68, 138], [2, 50], [180, 247], [41, 120], [33, 121], [161, 224], [117, 166], [22, 93], [3, 65], [14, 103], [4, 67], [0, 64], [150, 234]]; loss = 0.011489 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 33019/? [5:46:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 33020; scene = ['975e659085713da1', '390e456b32e3b7ac', 'db33b984875ef4d5', 'f74bd8804bc548e6', '2b7e5652a1a7cfa8', 'd5298f0109a44e82', 'dd9a17d0096c2303', 'de4a96ffa11a29bf', '38dfa3cb46d88c71', '14d3cda4c1be55ed', '5224582141df0ed9', '953260b64d3ddf51', 'bb503977aa5aecb7', '410deefce9809696', '9b55210b36c9539a', '19b3dcdb5298d93e']; context = [[221, 267], [192, 274], [1, 72], [31, 107], [39, 120], [37, 118], [128, 186], [10, 95], [1, 52], [59, 108], [9, 72], [3, 64], [14, 101], [7, 59], [26, 104], [78, 162]]; loss = 0.020531 low_pass_filter = 0.300
+Epoch 0: | | 33029/? [5:46:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 33030; scene = ['bc20a805c32503b4', 'e0993a60d803bd40', 'ff2008cd674a7df5', '7fc05882bd1f775b', '3d0c6eacfc39aafa', '8854b4da58a5000d', 'e1ef6aed4b57bf08', 'c6fb7d0d9e21a6c5', '891fe4fa21d022a2', 'c08079d5edf74f3c', 'bac5254e00bef075', '5ddfa89cd16d9f2d', '378a4f2a816025cd', '68842b6d271df7d4', '27a9b26dd1400ea7', '38d70b211a459d5c']; context = [[32, 77], [0, 52], [21, 81], [18, 90], [86, 138], [9, 75], [115, 167], [101, 179], [5, 89], [1, 59], [117, 186], [24, 93], [3, 65], [177, 259], [38, 105], [17, 74]]; loss = 0.012585 low_pass_filter = 0.300
+Epoch 0: | | 33039/? [5:46:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 33040; scene = ['db8279c362130b0e', 'e88c42ff2e168169', 'f61bc3eb312efcc4', 'ea63941da20c6569', '556029de0ce24896', 'a6d4934af5490d5e', '0154f63a41517d47', '32122cac3c13a456', '696ee987af4ac6d0', '10e2fe472b780e8a', '9adea502b3254523', '0a6deca53d7acebf', '05caefb6550250b0', '23cce795aa30ae38', 'bfe25c63d7a31e6b', '65de107f6b39ec37']; context = [[206, 260], [4, 60], [1, 61], [0, 66], [65, 111], [3, 55], [51, 129], [131, 203], [15, 93], [10, 88], [22, 105], [43, 108], [17, 79], [0, 61], [23, 86], [100, 151]]; loss = 0.011236 low_pass_filter = 0.300
+Epoch 0: | | 33049/? [5:46:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 33050; scene = ['cdfa2ba7d2ed2047', 'd1adbcd382e291e2', '049445c627d6850b', 'ca54e98bf836370d', '98ea58981048fed8', 'ebf4d7f215a7b0f5', '52e3848d4a28a57f', 'f73c3fd388f4b5e9', '33566014ee56f77d', '53e9505c6c9ee99e', '8ffdc96ba9272c33', '6f6687958824f67d', '4cdae6225a158c54', '3cad19774ffc97dd', '6adf75bc6d45fed7', '67fc55236db23428']; context = [[1, 61], [47, 100], [185, 231], [37, 127], [20, 87], [0, 57], [50, 121], [17, 65], [23, 91], [65, 125], [12, 78], [93, 165], [119, 184], [98, 147], [47, 106], [7, 52]]; loss = 0.015587 low_pass_filter = 0.300
+Epoch 0: | | 33059/? [5:46:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 33060; scene = ['871027075a80bcad', '2f6a5dd7b6a7e992', 'c437043ac9ced6c1', '5d172f09fd8bc22b', '4a0df5ab34c744c1', '429ea04295ce4c00', 'be0edcb9a9812543', 'ea02d0f42c603c21', '4f4b62095d035442', '73918a89fd11ca1e', 'f32902b7f5e0045a', '24052f7618e5b23e', 'e0f1516dff86e499', '4dea6d53165f9c96', '76117833d0b00459', 'a4e81cb1ef33e750']; context = [[64, 147], [16, 62], [9, 86], [0, 90], [0, 83], [42, 94], [57, 120], [102, 185], [12, 69], [1, 78], [0, 58], [102, 155], [38, 104], [185, 243], [0, 45], [15, 77]]; loss = 0.015514 low_pass_filter = 0.300
+Epoch 0: | | 33069/? [5:46:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 33070; scene = ['64d8643c793e4826', 'd839570bb3e08409', '38cc781095a4cf06', 'ed3be5ff8f32fdca', '5a02f56f8414e61b', '70878a6931910f8e', '4ad302dc5d512ba5', '066c3b89b421713c', '304245015fb2dbc5', 'd6f888535862dadd', 'a192137b64d4e1c6', '6bb5080d8fc6d615', 'ae8c4bdc85a8aa41', 'c63f0d1dee4846de', '62441ccdc8436ca3', 'b7b4952378211cc9']; context = [[69, 144], [114, 162], [1, 50], [35, 96], [0, 58], [0, 75], [0, 71], [14, 91], [70, 145], [15, 86], [105, 168], [76, 139], [0, 72], [44, 131], [56, 137], [4, 51]]; loss = 0.016948 low_pass_filter = 0.300
+Epoch 0: | | 33079/? [5:46:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 33080; scene = ['835a96da6173dd7e', '6ba12d097566dbdb', 'f38d945b92c6e0e2', '09db4e6feaea4714', '2ff32d3c912d6d4b', 'e80ac219ae75ce5e', 'c57d46c213a2a46a', '4025118849bd1fc9', 'a6787dcd34b17cfa', 'b317c015d408d7c5', '487fefd85739e993', 'ccb63858c92da934', 'ee5b4ebbb76697ac', 'e8ed0edf1828cc15', '6f3192180e6c9291', 'bb145647bab18424']; context = [[60, 121], [42, 92], [172, 249], [43, 91], [25, 95], [98, 153], [12, 84], [23, 98], [76, 137], [74, 141], [7, 57], [28, 111], [24, 96], [2, 48], [30, 86], [33, 82]]; loss = 0.010887 low_pass_filter = 0.300
+Epoch 0: | | 33089/? [5:46:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 33090; scene = ['947b9b324827c237', '2b82531c02145ae3', 'ee309a2ff67ee175', 'ef4e611cdec4a2e0', '7f6dd3575ff20309', '94345f54c878e603', '19d92ad5a3175241', '895afd0d96e88ca8', '4c706bb06dd82919', '42945d638bfac537', 'c7e6247010b2fd76', '60453830467588e0', '0d1cbe0e0f794a01', '3eba72d0bf6d4ab2', '8614c9eb83390046', '531b7ab2cf0e66ee']; context = [[16, 61], [91, 155], [13, 90], [31, 121], [5, 92], [49, 116], [3, 71], [4, 49], [25, 74], [116, 203], [131, 183], [10, 63], [206, 254], [1, 74], [163, 246], [5, 64]]; loss = 0.015252 low_pass_filter = 0.300
+Epoch 0: | | 33099/? [5:47:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 33100; scene = ['c6d16d8171fd7cd9', 'ea721fd4e3e0be8b', '75cbf5f3c4e202b5', 'ad459619c3a9a247', '50727c2fc099f9b4', '7791ac83acc95bc6', '2c1ea4ebc9475e24', 'e50cab8f6d9117b7', '571e0a97e57417b6', '1b8f8a9698642eb2', 'ff2333bce3662cbc', '7a25f6222cff4aac', '6598c4db67d3f87e', '84a596d39c5189bd', '30512795ac2bb625', '0d44b13bde35062e']; context = [[40, 112], [0, 45], [139, 192], [7, 74], [2, 61], [27, 93], [22, 77], [15, 75], [4, 63], [9, 81], [10, 65], [0, 67], [99, 187], [35, 81], [110, 192], [2, 71]]; loss = 0.013691 low_pass_filter = 0.300
+Epoch 0: | | 33109/? [5:47:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 33110; scene = ['d4d62e24faa1a895', '701699799d981edd', 'cfbe97a277ff392d', '4fdd05cb93ce0120', '7097ecbb242ddc3d', '1f2241043228c846', 'ec084b47780b0054', '79dda916bba4e040', 'dd8fde8a32d68f55', 'b1385fd06de0ceaf', '1ddf5f649fda04d3', '17fde8abb55f0198', '262e8b8dcef4d739', '96923c7b287ac44e', '1e3909f1376a2c4c', 'dcebb2fdad9ae60b']; context = [[1, 74], [31, 78], [0, 57], [1, 55], [14, 74], [70, 119], [107, 186], [7, 57], [31, 80], [29, 110], [21, 82], [103, 170], [8, 96], [6, 72], [4, 51], [0, 50]]; loss = 0.013563 low_pass_filter = 0.300
+Epoch 0: | | 33119/? [5:47:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 33120; scene = ['4465d9c64a7e061a', 'f11a226c7b686fac', '5acc7eb9465e95d0', '73c92c14766cbff3', '980d5be5c42288d8', '8d07d1ee21684690', '52bf8f0eaf400271', '88ee0081c73b2c00', 'f7ed39c1e39f16bf', 'acec9d645a945437', '4e0a83430cbe5daf', 'c5f82f4f38798303', '62a63f9fc84b859e', '75ec2472c9bd5d56', '5aea53b7c7dcefec', '7d5033ecd2b2d52b']; context = [[15, 66], [59, 135], [42, 117], [25, 95], [84, 158], [107, 158], [0, 45], [70, 129], [6, 57], [45, 93], [144, 197], [6, 71], [39, 128], [4, 57], [77, 141], [14, 89]]; loss = 0.014636 low_pass_filter = 0.300
+Epoch 0: | | 33129/? [5:47:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 33130; scene = ['3a5a38a182b82f99', '5201b074adcc1957', '4530113d1d7f71db', '679df10aebc2c454', 'f94029860c968603', '43efc8210bf1153e', '9ec8836d9eba792e', '11866a7205664134', 'b62d5f970d1517b6', 'c79eade117f25328', '3efcf64764442ba9', '015be5260cee24a6', '70b2f221ecf229c0', '17d3a16e71d99061', 'f807936e20d8a3dc', '15c7be1c31e5dcf5']; context = [[12, 82], [22, 84], [1, 58], [0, 69], [51, 123], [24, 73], [130, 204], [43, 92], [8, 80], [5, 74], [204, 269], [9, 60], [8, 57], [41, 87], [11, 56], [20, 72]]; loss = 0.014480 low_pass_filter = 0.300
+Epoch 0: | | 33139/? [5:47:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 33140; scene = ['6af3dac3387f0c7c', 'e72abbc2e978475b', '229002e9eb50ff97', 'b7bb7eedb709a1a8', '2b85a6b46f2ea8de', 'c03584d560ed0694', 'fd7e46c14085c76d', '6a11871c9643bd79', '7b00906aa2c10f8e', '74f177d8e9f58ccd', 'ae846b6a792cadc1', '789e60a632f1c397', '4bb8768dea446ee1', '46eccfae1e09e577', '759e3ce6b1697e24', 'd70ca840b3c5aec9']; context = [[89, 136], [12, 76], [1, 88], [32, 89], [2, 77], [3, 48], [147, 212], [15, 62], [3, 76], [20, 82], [94, 174], [12, 72], [78, 159], [10, 84], [75, 144], [132, 220]]; loss = 0.014160 low_pass_filter = 0.300
+Epoch 0: | | 33149/? [5:47:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 33150; scene = ['b095acdded6e47d1', '4e63d66b5be95f86', 'd196dc894157ca53', '383f67cab19a1fa7', 'ee93b843399c1cad', '4a051ea24c91e7ef', 'a3fbc85b34e4a1b5', '19c3686f5a671538', '949cb4aa319f9d4c', 'c1b2fc8f76c768e8', '49dcd90538e31311', 'bd6d188f357d1766', 'ece60a1ad123cbb6', 'c13915920d8d98f2', '73e4f7d049224183', 'b389cb9c8558ecad']; context = [[56, 126], [0, 47], [45, 135], [41, 110], [0, 72], [1, 66], [7, 76], [4, 90], [165, 232], [25, 112], [13, 90], [61, 129], [101, 163], [3, 53], [40, 116], [4, 65]]; loss = 0.014954 low_pass_filter = 0.300
+Epoch 0: | | 33159/? [5:47:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 33160; scene = ['69488632b95ed130', '7dc497c9d9fc9dbe', 'e6683441e899b7ad', 'e0a88916f5977690', 'c73d3bd74c1973fe', '343a4e21bc309742', '3e07ac19a6be1efd', 'e7bc763f52f6d941', 'a1d8ab6deefc971a', 'ba9c1f1d7b31aa0c', 'e5a612f26db49308', 'ebe21549c614d5e2', '8d96b0810c1474f0', '06a4df55f3b8534b', '16f6f5e30b18575e', 'dca2d5e4b6c4ae7f']; context = [[189, 237], [7, 54], [22, 73], [13, 101], [0, 82], [3, 58], [76, 145], [15, 81], [60, 129], [16, 76], [142, 189], [61, 132], [75, 154], [22, 76], [89, 142], [54, 117]]; loss = 0.012915 low_pass_filter = 0.300
+Epoch 0: | | 33169/? [5:47:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 33170; scene = ['75d6aea31dbd30dc', '3b6a998f7c994828', 'd07811028bbd4435', 'b4ffa1f6d55b36d5', '0b3f191324b209a5', 'b0442470142e211b', '9e379fa440d61fbe', '694b55576cadcfc0', 'd60fde062314a282', '5873cdfb303368a8', 'e62120d353663d7b', 'f680164af3370245', '44d8cb6fbc7d70cd', 'd9f535c4c69d09e1', '3e10a47a93c8fef0', 'e390cddc191190ef']; context = [[79, 151], [36, 93], [14, 75], [89, 178], [75, 160], [10, 89], [41, 104], [28, 78], [2, 77], [1, 64], [7, 56], [16, 70], [67, 117], [48, 102], [81, 159], [2, 81]]; loss = 0.019900 low_pass_filter = 0.300
+Epoch 0: | | 33179/? [5:47:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 33180; scene = ['e8cd648aeb8f075d', '9dba53cd4190bffb', 'eae13023de0dc642', '8603c643320c6e35', 'f99bacb0639ef12a', '417e0336e9db3eb8', '295df0278eb768a5', 'f883d68962330b21', '29d6603c1a41ef45', '1db629688010819a', '974028c3b9e3e323', '15aad52d11a26f25', 'c792e7bbaa1e7edd', '1c574a0a214c7b60', 'f873485ea901f0aa', 'dde08cbd97dc236f']; context = [[21, 90], [4, 62], [109, 192], [24, 88], [0, 45], [102, 169], [18, 64], [7, 66], [8, 94], [1, 82], [58, 118], [18, 71], [192, 243], [22, 81], [9, 96], [55, 140]]; loss = 0.015121 low_pass_filter = 0.300
+Epoch 0: | | 33189/? [5:48:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 33190; scene = ['02a53a0050230704', 'c7f44d3eb4c3eb43', '518e41c6040a9783', 'e17271dffca59540', 'b233ce84c946d4f8', 'c3372f1fa6c4714c', 'f9e9b34ec23f2adb', '62f4631c35d0f5bb', '1cc550620c6c2497', '7a295c909bf77704', '91af46ca79eed804', '86e2391acd797f54', '3a6ad27ec85f4a92', '0b9ed52adb641450', '8f1aa461b4aa2287', '92ab77a4c94e9884']; context = [[175, 232], [10, 68], [24, 73], [1, 52], [22, 104], [16, 106], [28, 97], [55, 137], [6, 72], [2, 62], [6, 60], [11, 94], [11, 83], [6, 92], [36, 125], [159, 211]]; loss = 0.015467 low_pass_filter = 0.300
+Epoch 0: | | 33199/? [5:48:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 33200; scene = ['853c7eebbeca0d3c', '6da93982840c7f27', '82b22a784b4af245', 'f59f1231a6194510', 'ef685fbdf3e576a7', '17975ff871886fcc', '59f9c9b55158d47d', '2c71433516d2e8dd', 'd7841a1644022525', '9be3165beb073d95', '399d4c691a973f9c', 'a95be6b28b7e04c1', 'a2132eb3ce0e461e', 'fa45ba8993573358', '0f9f0dbe244926f1', '3e0141cf661e700b']; context = [[1, 74], [137, 220], [51, 118], [16, 69], [2, 63], [72, 145], [53, 110], [168, 238], [19, 72], [48, 93], [24, 75], [3, 77], [39, 96], [16, 106], [12, 78], [19, 91]]; loss = 0.014232 low_pass_filter = 0.300
+Epoch 0: | | 33209/? [5:48:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 33210; scene = ['7629b9492036f956', '0185f9296008aebb', '3b5a4918d9346cf5', '9ed19d5506da8047', '481bc28cf74dc03a', '21441ce339017578', '7fec6b8b738c23ee', '9d22bccbfe1510df', '091c8797418a4568', 'c13693eff6eb0796', '0207fbc747fb6e11', '3e35d64c3de4d110', '6587a582e70da65e', '062a71646932bce9', '9ed566141bd48703', 'a8486b8f4f762d05']; context = [[1, 69], [15, 62], [13, 58], [8, 79], [8, 53], [101, 173], [54, 143], [14, 98], [4, 93], [6, 78], [2, 66], [21, 102], [100, 153], [19, 94], [10, 65], [25, 73]]; loss = 0.013257 low_pass_filter = 0.300
+Epoch 0: | | 33219/? [5:48:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 33220; scene = ['f9e747a8dcb47bc4', '2a5e3ab469ccb5c3', '9350ed954b95682f', '3b0f30c03d38305c', 'a3881eb3102f8e4c', '78dcc8fd482170fe', '8853c3fc40c69e24', 'fe88b975469701fb', 'c27f30b71f9279fc', '3b93d15c3121c2b7', '16d3bee1ca19a1f3', '064f86a52bb038ef', '1d610e7d3d756ca4', '76102a284ac733bd', 'c138045400b089a8', 'c12fac3629f20e64']; context = [[5, 56], [78, 150], [67, 129], [22, 70], [90, 168], [36, 116], [17, 73], [12, 59], [13, 67], [63, 113], [9, 71], [32, 121], [29, 108], [68, 141], [19, 65], [105, 192]]; loss = 0.016557 low_pass_filter = 0.300
+Epoch 0: | | 33229/? [5:48:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 33230; scene = ['1ec41f3828e1065e', 'abda7c79ca34c2f8', 'db2911d71cd2d389', 'dd1ebbbc32276ec6', '6ede7a3926290779', 'bff0f6c000bc59f3', '9e950a8db19553b9', '6c57ac55cbade318', '18302602f1a2d36d', '826f1e427bcb4f78', '423eb47d1b1d1852', 'c6660e3e3e4ca25b', '5f00c7879f963b3c', 'c101968566cb7252', '38cfad9ce36af1f0', '43693e32448bbc71']; context = [[18, 64], [4, 69], [60, 107], [39, 102], [5, 85], [2, 86], [167, 213], [8, 53], [25, 83], [9, 59], [26, 103], [4, 86], [1, 63], [5, 50], [5, 93], [11, 74]]; loss = 0.012584 low_pass_filter = 0.300
+Epoch 0: | | 33239/? [5:48:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 33240; scene = ['0978d7105d3262a5', '195b0d259724614e', 'f31272c58ad1f18f', 'a557eb3b4761195f', '7898fefb2a4f8bbe', '92e8d8ff5ffd7c72', '174b844436d59158', 'c92fb8581dd241e4', '913e0ab310fa1d5f', '59e466387c85c213', '008caa6df1da0cd1', 'f9acc10370d2e6af', 'a55f20d7bed0758d', '3d00778f45626985', 'a600ca6d66d0a794', '111e7de0e422b16f']; context = [[17, 94], [68, 143], [12, 92], [3, 52], [34, 83], [1, 82], [4, 71], [14, 66], [52, 108], [0, 57], [29, 100], [17, 69], [6, 80], [157, 208], [85, 138], [0, 57]]; loss = 0.014461 low_pass_filter = 0.300
+Epoch 0: | | 33249/? [5:48:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 33250; scene = ['860bcad22ce80703', '4eea57113034f634', '827b5f9ef598da3f', '8163446375022a55', 'eab1efb73477fc13', 'fd81e1b584ba9dd2', 'f1a22db30ad8224f', '9460fa349c6938ee', '7995a0863f61caba', 'bc67341c31098cca', 'a4721eb32195ea7f', '2f8dc070e74f3d39', 'bf563dea667a926b', 'd7ee313c9b549e39', 'ed6dde4ef3037b45', '35a9ae304403b303']; context = [[2, 70], [4, 92], [5, 81], [4, 81], [15, 71], [79, 159], [5, 57], [57, 125], [20, 81], [5, 54], [15, 84], [2, 50], [3, 72], [87, 145], [50, 125], [18, 92]]; loss = 0.016728 low_pass_filter = 0.300
+Epoch 0: | | 33259/? [5:48:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 33260; scene = ['71210766ebea65a0', '855b442a693cf2b7', 'e6906a8a5e396657', '516fc0a4601647e1', '2f26c0137ec43a4d', 'bfb0222bad95e522', 'e87d9633b850b7fc', '0b807904f44b21be', '28d829a36cdbd510', 'e02bb6e43f5c3de3', '51154114c19beea2', '9fdbc9cafad2c45d', '9f0597b818aa04fc', '41101beca852f72d', '43f3809e04ddf7f3', 'bd2d0ac38c8907d7']; context = [[0, 49], [28, 108], [0, 87], [9, 87], [11, 72], [6, 63], [19, 85], [57, 116], [1, 67], [28, 78], [3, 54], [26, 108], [11, 79], [22, 99], [24, 79], [9, 77]]; loss = 0.017250 low_pass_filter = 0.300
+Epoch 0: | | 33269/? [5:48:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 33270; scene = ['d146ac2178174b0b', 'a16e45a09df8b6f6', 'd6187fc008e4e1dd', 'ec36aa235dc5a597', '62d36b447e464a20', '4fb170171642a5f1', '622f5f93cf28478a', '315ad6581990df7e', 'ed12e5748cb46dce', 'd0662223d8d2ee98', '80f81a92601ecc6e', '9453490533966a62', '5da9b4cce553a6bb', '626d66e9d35de7fe', '57d4abf8cf39f419', '0b4b937b1199330c']; context = [[1, 46], [173, 233], [4, 59], [83, 129], [39, 95], [21, 93], [0, 47], [67, 140], [107, 189], [42, 96], [193, 272], [51, 123], [155, 242], [187, 265], [5, 68], [15, 105]]; loss = 0.012018 low_pass_filter = 0.300
+Epoch 0: | | 33279/? [5:48:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 33280; scene = ['908d4889612ec67a', '0bf31e524bff9aba', 'bc8f126be579d04c', '5f06b32ff913504d', '5aeab7079ca7b9b6', 'bde29b6197404827', '8cd1361a46b83202', '4ba2e9259191e39e', '4b6ce8f7863bb02a', 'd5108e50ecef6f1f', '2ff4f3b2475e0e8c', '1ae35c468d598029', '07fdb102ee3677f5', '3f0b9fd1e32d9ce3', '801586ab8ddd3bf8', '47039a17b7256772']; context = [[54, 132], [18, 100], [27, 78], [0, 83], [2, 69], [125, 173], [1, 46], [0, 46], [3, 77], [6, 65], [196, 249], [116, 173], [83, 167], [10, 97], [23, 108], [25, 97]]; loss = 0.014216 low_pass_filter = 0.300
+Epoch 0: | | 33289/? [5:49:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 33290; scene = ['764c6a2e15e46440', '900522b1f171d2ad', 'c773a533e1a0fbbd', 'fe90475a8c70802c', '185019797e58d521', '118d4b84db5dbeed', '216132a3ee19edef', '8d050a45c7deba1b', 'f13daa95a8b6d3cf', '0f18776cffbe3802', 'ee4076dd13067fba', '1d96d42281a14794', '9f58f065a6a85be2', '13bce166ec03bc3e', '16c62242966d54c1', 'c38e7f8504f1a608']; context = [[29, 104], [16, 98], [15, 69], [5, 83], [14, 76], [44, 99], [7, 68], [19, 66], [2, 75], [62, 131], [44, 99], [79, 150], [14, 82], [198, 245], [1, 49], [198, 257]]; loss = 0.012624 low_pass_filter = 0.300
+Epoch 0: | | 33299/? [5:49:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 33300; scene = ['400560c62e3de24c', 'caa9ec5743956e5e', 'c9e908637d748a4b', '0bdf1f87e7a514a4', '11e957df6d221c04', '44eb2c67b9c0b4f6', 'b344fe4965772ff1', '181187067acc4cc3', '23bc7de9205a2ced', '571cd60ca252b93e', '45e462394d584b16', '7885bd17267ecef4', '777944df0eb2b682', '38667b143565e79a', '311a8980ac58da1b', 'e223a883c0c16415']; context = [[96, 148], [100, 187], [32, 117], [22, 98], [31, 91], [25, 98], [28, 80], [0, 50], [2, 64], [128, 173], [137, 214], [2, 47], [5, 95], [42, 132], [42, 127], [33, 95]]; loss = 0.017435 low_pass_filter = 0.300
+Epoch 0: | | 33309/? [5:49:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 33310; scene = ['7e9dc66f967bda45', '220612754a8e12fa', 'a0576d283ff000d3', '110e8654d0595fa8', '31eb8ff621bb7ced', '4b98f62e96b7e00a', '35502d38021916e4', '2dfd6fa64b4b8622', '7a3ec171d986c227', '903c0556273ddd04', 'a3a84241947a8112', '7d3fb0628f79dee9', '017ceac43c423ed1', '9ab88aa6ae4654c5', '955983545a8add83', 'c2e1aa29a49f46f3']; context = [[95, 168], [15, 92], [47, 134], [98, 165], [28, 90], [2, 51], [43, 127], [34, 104], [65, 145], [111, 182], [145, 198], [27, 94], [19, 80], [2, 59], [177, 235], [22, 76]]; loss = 0.015183 low_pass_filter = 0.300
+Epoch 0: | | 33319/? [5:49:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 33320; scene = ['6542abd58a761087', 'd4917ad3a125b0c1', 'e62c3bffb963e533', 'b917bbd1445aa090', '700c3aa65e615d3e', 'f9fbb45ed5a7a61a', '772ee7030b08809c', '384df0b400bfa2ba', 'bb67883d8fab43fb', 'cc867fd7d43a2b01', '3f882fe126eb3f9f', '810ca4a521c99a9c', 'db7ac6d0820ca218', '533cb55bb055a091', 'f5d3c55f34f74cec', 'c119dfc3c340da8f']; context = [[6, 93], [27, 117], [0, 77], [23, 99], [22, 71], [45, 133], [18, 97], [56, 105], [39, 125], [41, 94], [7, 81], [3, 59], [1, 68], [1, 69], [31, 118], [124, 188]]; loss = 0.016721 low_pass_filter = 0.300
+Epoch 0: | | 33329/? [5:49:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 33330; scene = ['ff6ac8d2fdd0b884', 'c5067fed187ef5c0', 'c3a524b4d053b421', '0d00b18b284e51e2', '152bfa6dd2ed2d91', '7ed85889128d8edc', '5014fb135ed72420', '8ac154751b6b5d23', '61e12c1cbc989d8d', '9d87291c4517b496', 'df87424ea7d30296', '417a1b0f11a38cb6', '3db359985be722e1', '749f35821374f0dc', '5d296026f13a69f7', '49f6c049c206ddd5']; context = [[134, 209], [17, 87], [127, 191], [23, 76], [51, 111], [23, 80], [133, 195], [163, 236], [3, 80], [7, 57], [25, 99], [152, 215], [65, 115], [155, 210], [51, 123], [178, 235]]; loss = 0.011410 low_pass_filter = 0.300
+Epoch 0: | | 33339/? [5:49:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 33340; scene = ['88cd2f72bb3cd574', '96153d298af583cc', '6dbe13333141d1d5', '294fee707e8d9822', 'd151c2c583596f65', 'd58a710d12ee6de5', '6823afb6048d0ba0', '594beff70d7255b2', 'd6e2f78135cb95fb', '7c8d84ba7289a65f', 'c999a1922a53c7fd', '304188462e3d3219', '232e85250de4fc24', 'dc4ca047ad86ad9b', '03f22e694d8895e9', '03e06c2a6e1c1708']; context = [[35, 101], [39, 121], [28, 89], [39, 129], [11, 67], [129, 206], [13, 61], [8, 76], [5, 79], [64, 150], [2, 49], [13, 70], [124, 174], [205, 255], [45, 125], [19, 87]]; loss = 0.014453 low_pass_filter = 0.300
+Epoch 0: | | 33349/? [5:49:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 33350; scene = ['e129207a6fb70b7a', '4c02e41f39fa24e0', '6178471c127377c0', 'a11b25880bc2ffd6', '4f456caaf8e278eb', 'a2e2c2e66db9a05c', 'c36f204f4935f56a', '08e1c61005ae86ec', '68e42cbc6dcfc725', '4b0a68d37406a651', 'ec5f9801aa83c8aa', 'fe0f537ed404cd7c', 'aeaed8c44ce38f0d', '27ff41a96f02b97c', '04c4eef824be2a53', 'db19833fcf1647a1']; context = [[14, 73], [67, 146], [4, 66], [56, 109], [10, 57], [18, 104], [73, 161], [0, 79], [43, 90], [20, 79], [0, 49], [40, 99], [0, 48], [11, 77], [0, 46], [141, 200]]; loss = 0.011604 low_pass_filter = 0.300
+Epoch 0: | | 33359/? [5:49:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 33360; scene = ['10e35fb0eb1b120d', 'fc0ba1bf5a6cbd74', 'd7f009ec2ab543f3', '5c12d0e4b30e7d1f', 'e4e90e143157bcd4', 'e80dbf2f8aa076de', '357ad9c49b80724b', 'd60f30aa087b87cb', 'edc12d141059e496', '0ccdaba69c14f332', '6238b9bd511fd87c', 'd858d269c16ef238', '36c90e7d21f80783', '5220b6dddbd2b6c5', '746e147944928a14', '15ee0149c03dabf0']; context = [[0, 59], [0, 68], [103, 181], [85, 172], [41, 94], [6, 62], [0, 45], [26, 80], [49, 102], [4, 61], [7, 73], [45, 91], [116, 201], [60, 106], [2, 62], [7, 96]]; loss = 0.013875 low_pass_filter = 0.300
+Epoch 0: | | 33369/? [5:49:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 33370; scene = ['5ddd85e76a75199d', '7ef557e5507f5c51', '9a7f356671cee839', '27e447609b6ec782', 'a7bb034467f46e0d', 'ba34c467b9348fc1', 'dfb061f20fc8514d', 'efc96d858a68abbf', '0b6a05518f22f588', 'e5bcfa848ca1fda0', '9f97ffb17cabb0f5', '03af4020f9539d13', '045578e7f6e44c6b', '9454461f4e900bfe', '24649be0dd272ffc', '395b1c86e35e8d93']; context = [[20, 95], [18, 86], [17, 69], [1, 73], [52, 133], [46, 102], [37, 119], [0, 49], [84, 141], [2, 76], [71, 123], [77, 141], [80, 146], [4, 87], [73, 149], [8, 54]]; loss = 0.016244 low_pass_filter = 0.300
+Epoch 0: | | 33379/? [5:49:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 33380; scene = ['cb9fb0de27b9e658', '6fbc2fd175a914f1', '89fe7005e1d9debf', 'f3818ef1c738cf74', '10c430f0b55254a1', '3c7144d9d955132c', '679895a88529a64a', 'fe8feaca8c0571aa', 'dd5052b4e6eace78', '39866fa4dac21c68', '8715a1b4fda38323', 'c899916acd553c9a', '9dec68509b4f3979', '6c50cace5a9d0ea4', 'c715d9484ed86f27', 'b7930609eac0c10e']; context = [[3, 68], [8, 64], [20, 101], [183, 256], [44, 98], [24, 93], [19, 77], [7, 68], [158, 219], [12, 61], [50, 134], [4, 76], [54, 141], [140, 198], [187, 251], [13, 101]]; loss = 0.014684 low_pass_filter = 0.300
+Epoch 0: | | 33389/? [5:50:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 33390; scene = ['fe356da855cd3c76', '54c0968cdfab4471', '9a902960aaa032fd', '7afefd271f2ff47d', '67693f88a026e955', 'fa42604243a1cf5c', '6d727b8f5862a634', '3b3c3029ddb0c262', '282b95c2d5b02aec', '9852a225cada2c5c', 'a8a7011e5635f573', '7aee2acb4f5549fb', 'abf0c599a085b9d6', '2078f6045897c62d', '2cff0e3dc7de8227', 'cd7f1b0e5cdee756']; context = [[16, 66], [3, 51], [149, 238], [136, 224], [55, 108], [81, 165], [28, 102], [44, 116], [11, 68], [85, 164], [8, 59], [1, 72], [45, 134], [12, 69], [132, 203], [146, 212]]; loss = 0.014881 low_pass_filter = 0.300
+Epoch 0: | | 33399/? [5:50:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 33400; scene = ['081a0b0ff7cadc99', '57274cc3fac11cbd', 'e3274a8a3c3d0d6e', '2e397e7dedf39ea1', 'f53ba88600fc1d74', 'd275f137216cb684', '7b90888923feb2d2', '41320ad766f5ee64', 'fda6de02b80cf549', '14c0d0e0cf42b577', '799bffc2e4cab7fc', '4e85c42b78dc2e59', '2cdf2d0378bd6cad', '4a1810079642dcba', 'ad672626d21ab43a', '85eca04a6e737ab1']; context = [[5, 70], [2, 69], [148, 197], [11, 69], [30, 109], [4, 65], [16, 94], [10, 96], [57, 104], [165, 234], [1, 70], [22, 74], [9, 55], [43, 101], [75, 154], [2, 56]]; loss = 0.017337 low_pass_filter = 0.300
+Epoch 0: | | 33409/? [5:50:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 33410; scene = ['664e178e1a6e2a5a', '655234c2b421904f', '79049d915465c4e2', 'ad37a470893adb0c', 'a8ae95c162e03289', '44d3acc81bf24865', '9e732b6f83edaa38', 'd4c8ef2d288fd1bc', '089cbe98ad3beddc', '4379921e6438fdac', '76f53a277c8e50cf', '4969bcb3550c0172', '059cd20b64598054', 'f4c433e3569e1b88', '27ed8e7077af6540', '6bcce32993a13c68']; context = [[111, 163], [4, 55], [13, 87], [81, 155], [12, 60], [160, 247], [127, 194], [46, 95], [23, 108], [127, 177], [24, 98], [167, 232], [9, 62], [9, 91], [120, 208], [46, 112]]; loss = 0.015793 low_pass_filter = 0.300
+Epoch 0: | | 33419/? [5:50:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 33420; scene = ['882604c1aec0e83a', '20cd6d5b5e0f84d8', '5c3edf95e971e6a1', '2500c47765259d25', 'fd425ce849268367', 'e259aeb5a4011241', '3f2eedb19a6a4126', '81e4aa61acacb1a3', 'c3b719fbeef463ae', 'b35a083c0ebf5083', '606a39f22e8d7b84', '6d2d7e8c12846ba9', 'c491321e6678f76f', '389e63d778d22e90', '44bc242930167a67', 'db4216b2a2281ce3']; context = [[4, 51], [8, 59], [142, 218], [154, 242], [35, 86], [98, 146], [79, 156], [5, 84], [64, 132], [16, 77], [27, 106], [87, 137], [82, 140], [101, 162], [7, 54], [8, 78]]; loss = 0.016320 low_pass_filter = 0.300
+Epoch 0: | | 33429/? [5:50:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 33430; scene = ['a8b5ced332106f6e', '63405472850ce417', 'df17465173ff113c', '453f503f3d6e33a7', '0e9763c2e321d50a', 'b43fe5b3c1607b89', '1f4a515822cf8fff', '75f5325d53419390', '317ba8e0b5413a83', '9318f2dc9cb8a203', '49667fb18ff40765', '9e94b1a8e473c513', '9d1d86d3978d3dd9', '3bffe8695f641222', 'da09baba072e5aaf', 'ba044f67680746d3']; context = [[0, 86], [41, 130], [84, 145], [1, 48], [5, 92], [0, 56], [13, 62], [83, 135], [17, 83], [12, 65], [20, 80], [73, 134], [0, 46], [41, 94], [45, 113], [5, 69]]; loss = 0.011092 low_pass_filter = 0.300
+Epoch 0: | | 33439/? [5:50:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 33440; scene = ['4f1be8aaa56444b5', '6b88ed77e287df4d', '457bf2a6a77fda7f', '010571c8c397a29c', '638d352a194d1acd', 'a1de15d31837b1df', '5dbffdf5e936ee74', 'cb524479156837a7', '521fca1af7388ac3', 'f699191b86f38a08', 'cbfae700b0802703', 'da3ff7fbc613e687', '55668f4c760d49d4', '8b700c2734f29339', '340f5087521b0117', '65911963a46bcb83']; context = [[104, 176], [10, 61], [34, 108], [22, 103], [1, 49], [1, 48], [4, 79], [91, 173], [8, 57], [14, 86], [23, 72], [26, 74], [0, 66], [88, 133], [57, 107], [42, 93]]; loss = 0.015754 low_pass_filter = 0.300
+Epoch 0: | | 33449/? [5:50:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 33450; scene = ['1620ee65c0c87b4e', '3a09916ab94d104a', 'd00df5ef865937ac', '63281eb1df46be25', '006b2728057d8236', '683391876d0f8c91', 'd81004f6cef35e48', '18f5aa065cd4b02a', '5449ea0f398b1296', 'bf82a9c4cb1af02c', 'fd1737c9d5f1cb37', 'd54fb2208e66c080', 'd61d4f9ba6cca3f0', 'be478cdb0e09fa67', 'a1dedbb93ccb1ada', '2593b027ad449064']; context = [[10, 55], [6, 57], [61, 117], [29, 111], [7, 88], [55, 117], [56, 126], [199, 249], [2, 88], [129, 191], [7, 76], [10, 67], [11, 64], [130, 204], [222, 267], [34, 110]]; loss = 0.010289 low_pass_filter = 0.300
+Epoch 0: | | 33459/? [5:50:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 33460; scene = ['0049c83bad21bbdf', '369df91779a88a16', 'd8c016e186726205', '19d66abfaf3d9e25', '70e8abd9ce40a528', 'b38098027eb1961b', '9bd581fca2259350', '9433f9e25035a257', 'f7f116fd4890b30f', 'b46177248cfd9660', 'b4cbe1753e9d2ae4', 'baed0b1b56664c55', '776064ae58e63baa', '877a629d92b63701', 'abc3c3206c8c7b2c', '70c64ce0990243b8']; context = [[5, 63], [200, 253], [79, 159], [4, 77], [21, 101], [40, 123], [11, 93], [68, 157], [29, 112], [13, 80], [172, 230], [95, 178], [68, 143], [12, 85], [7, 63], [51, 102]]; loss = 0.012408 low_pass_filter = 0.300
+Epoch 0: | | 33469/? [5:50:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 33470; scene = ['3e5be5ea98eca2ec', 'd5200e6507f07d30', 'ccf546f5a8ea9cfc', '57122ccaf5489d33', '3738641d7c38b048', '89f6084cce1f05e6', '3d13145acc97eef9', '04b592aaa9a9a779', '931f33d8a5df55be', '97146039047ffd37', 'f35f4e214dcf6167', 'b8010d383e02444f', 'f273b89e74887758', '8080fdbc1319130c', '67a6b3a365311194', '628b1ad54b200d65']; context = [[7, 62], [86, 160], [160, 210], [71, 117], [73, 131], [208, 253], [23, 93], [53, 110], [33, 78], [0, 50], [2, 81], [102, 147], [46, 118], [24, 72], [8, 55], [4, 58]]; loss = 0.016847 low_pass_filter = 0.300
+Epoch 0: | | 33479/? [5:51:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 33480; scene = ['b851fee0bc2a9561', '4ea37df2f9dfda32', 'e19e727ca26aa763', '6e246ece8fdd2a1c', 'e30553db7c558402', 'bbeb5d738b8da0c1', 'e21474479646bab2', '1779cc65f3853e34', 'aba8500bf55e59fa', '5dc3bfb193417474', '7c376693c09e694e', '639b3f64e6ec221b', 'c107dbf82a3dd945', 'a8a820bc0929ba11', '86cc2c97a73c3004', 'a1c87988196faa14']; context = [[137, 185], [5, 65], [26, 109], [203, 274], [13, 101], [0, 77], [170, 224], [204, 254], [22, 110], [46, 103], [22, 72], [26, 104], [159, 247], [5, 67], [2, 70], [104, 187]]; loss = 0.013919 low_pass_filter = 0.300
+Epoch 0: | | 33489/? [5:51:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 33490; scene = ['51723a3c78e7e420', 'd7e926c740ac7137', 'c93c480ccd57d80f', '3f96be687636d51d', '2f0650a94d92200c', 'ff5cb0ea9ff69da6', 'dda1c0ecd0acce7d', '439f12d7997f3297', '13f7f1e85b32c2ca', '21486cb5a6c5fcab', 'd2a9abc9f488ab92', 'edfe56997f23fd03', '37321c182e5bf3ed', 'c326a47d6f346e43', '07cdcf1e89921c1f', 'e847af48e0a4f411']; context = [[82, 140], [69, 119], [23, 95], [112, 172], [109, 170], [16, 97], [12, 67], [41, 114], [5, 56], [116, 200], [0, 52], [32, 79], [4, 66], [7, 79], [16, 72], [0, 56]]; loss = 0.012483 low_pass_filter = 0.300
+Epoch 0: | | 33499/? [5:51:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 33500; scene = ['c7f0f87a38472823', 'ac37a208ed2030a6', '07d5b90cb76f75b9', '1c8a1e8e21e118d4', '08b93081fdc7e4a8', 'f4cce645c759e18a', '11cb6e4eb7eff773', 'c221f94fe940d767', 'ad43051ff3e03760', '5b1f5aa8eacde6fe', 'f9d7f70bb0034f0d', '38f4c8a341068c06', '0b857200106481c0', 'cee014117a48eb94', '1df4638fdba064e7', '0763cb68386479e1']; context = [[13, 63], [4, 84], [29, 76], [23, 104], [0, 58], [0, 45], [111, 193], [6, 72], [5, 92], [0, 47], [63, 129], [35, 108], [15, 60], [91, 178], [3, 93], [53, 100]]; loss = 0.013443 low_pass_filter = 0.300
+Epoch 0: | | 33509/? [5:51:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 33510; scene = ['af2b6babf7f15f24', '0da07bc68c38ad63', 'b1d4f5022172c299', '2105640d06ddf91f', '71753b7d416adcaa', 'e281213868014707', '87c675284f595cdc', '9cbc68c41da0fbc7', '7a159ffb882659db', '397652e91be52496', '4ce6c5b15de6f43c', '7944123b979037eb', 'ce29ddbc8cd39fbd', '6cf6f96bfa3da0c5', '03f4ab4ac23f39e0', 'fe182ab98e3df748']; context = [[27, 95], [172, 238], [60, 110], [6, 64], [15, 65], [123, 195], [21, 104], [30, 86], [13, 65], [53, 106], [13, 67], [51, 129], [65, 146], [22, 99], [3, 57], [30, 99]]; loss = 0.012597 low_pass_filter = 0.300
+Epoch 0: | | 33519/? [5:51:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 33520; scene = ['13b6ba1e1a47cad9', '238466b761abeb2f', 'ba886712dec35139', 'b3f9bb0c99776a79', 'a30d9527ed0e0748', 'e387a009f6240ee8', '188615f646f09e4f', '813e1189dcfd7c30', 'daf0904eab3b35cf', 'd4897a4c90c37caf', 'fe792f41f069b4c0', 'ffc9008285548ff5', 'ca024568a48933be', '73d873a180e058a5', 'fcb4dfba1a945a4b', '7dc17d33bc5e889c']; context = [[70, 116], [3, 81], [1, 47], [49, 118], [3, 53], [3, 78], [3, 58], [2, 51], [61, 146], [33, 93], [13, 67], [64, 140], [5, 95], [55, 140], [30, 88], [77, 146]]; loss = 0.016806 low_pass_filter = 0.300
+Epoch 0: | | 33529/? [5:51:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 33530; scene = ['63f783167cecb298', '43c4ce88526dd652', 'b34e241b08ecb7d0', '450bc5150cd964e1', '8440d85bae3b464b', '75b11ea5ac291933', '02cedbe7761b212c', 'a883baeaf5486d4f', '8e8f419c0a3f575d', '6378d5d697b56aa6', '02c4828c2f604701', 'ee0a2a64579222e7', 'c7d7e5aa7a9fb093', 'feffdda9d1d883c9', '5304efa4c14d028e', '319cad73a1293d84']; context = [[23, 98], [81, 152], [1, 77], [23, 102], [1, 69], [3, 76], [180, 227], [1, 52], [12, 82], [33, 119], [0, 48], [45, 109], [5, 64], [16, 87], [60, 108], [75, 165]]; loss = 0.015308 low_pass_filter = 0.300
+Epoch 0: | | 33539/? [5:51:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.70, train/active_min_children_step=1.0train step 33540; scene = ['2a36ed883b16e48e', '0f81cd5e8b04bc00', 'a91564894324256d', '9d04b522ad2fcf26', '33ba82bd47909e3b', '97e72d8bd82aa998', 'd08843a89e7375a6', '554eec4e62ff08ff', '0e926d6680d8942e', '01e56cb442a2cb05', '8c0b0087bd94017f', '627d2275dda31d2e', '9923d4ba5dd6e67c', '8d9b9fa4b8748ccd', 'c2b40188e989bab0', '5c5681473a27d80f']; context = [[28, 88], [5, 51], [0, 62], [39, 97], [47, 124], [1, 79], [17, 68], [8, 80], [37, 86], [104, 174], [89, 157], [5, 51], [6, 65], [80, 142], [56, 118], [0, 86]]; loss = 0.015616 low_pass_filter = 0.300
+Epoch 0: | | 33549/? [5:51:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 33550; scene = ['ec723bd46c6bb0d8', '6c4460628810b20f', '895a901ddd481ded', 'd8fb559aaed4da44', 'f59a578b65c02808', '9fe032b64b5b91df', 'f7ddde2e3318692a', '0c5c3bb436ed7ea8', 'a00677410f377f66', 'd433a78ed22786cb', '4e064993599076dd', '27c6ff34af974ee8', '1446c12cceb0df17', '0f8adc9b02ba1db0', 'be3a68742dbe1610', '4592bd545ed2e2e7']; context = [[49, 129], [38, 113], [2, 59], [149, 210], [9, 70], [23, 104], [59, 122], [171, 229], [79, 166], [17, 65], [57, 132], [7, 71], [44, 103], [116, 182], [1, 70], [70, 152]]; loss = 0.011712 low_pass_filter = 0.300
+Epoch 0: | | 33559/? [5:51:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 33560; scene = ['d1470dfbdb2d9545', '6eb626dd0d103edc', '1d2e675e6d5f42bb', 'ba1900c09370971d', 'eedaa60e5070082f', '5c666a58554a0ff9', '170c03325a99642b', '2b6b0c1524db155a', 'b8fd2233b3ec09e4', '0c941360b11a903e', 'f704d5b89d6b19c2', 'edb43317316d7f17', '46f90a8997cf7b9f', 'c87c40da1e4a9ae6', 'e83adbfcf9bf64be', '18b989e89150a242']; context = [[208, 278], [28, 111], [2, 74], [18, 77], [140, 227], [24, 74], [12, 72], [53, 121], [3, 61], [2, 47], [10, 96], [1, 59], [31, 77], [162, 234], [18, 65], [2, 65]]; loss = 0.013296 low_pass_filter = 0.300
+Epoch 0: | | 33569/? [5:51:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 33570; scene = ['877c93c034baab74', 'e8b3a59f618ccfb1', 'd3923d5128af45f1', '83c538dbd66d047e', '0eb0406f93082b02', 'd6d953d12d23fdc7', 'ea35f2e87a22cc27', '627e1740aebd42b6', 'c356b5fd63ca4228', 'b9f9d1c6f63799e1', 'c234202cc8bec9b7', 'c2f4ee94e6aedf42', 'a6d4617c65500d60', 'd6f4cf1db5c5d80b', '190ca8283349ae9f', 'ec41cf9747640cc8']; context = [[42, 120], [118, 182], [39, 129], [3, 58], [27, 104], [143, 200], [86, 171], [0, 47], [21, 103], [162, 250], [4, 55], [19, 92], [13, 59], [46, 102], [46, 125], [3, 70]]; loss = 0.013234 low_pass_filter = 0.300
+Epoch 0: | | 33579/? [5:52:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 33580; scene = ['7113a6242fa0ecb9', '4602deeb27e9b472', 'e0f46f5b13a7737b', '9f000e8e31dffe41', '3c859adebfbf9648', '7549b399afe41ed8', '0b82d6fdf7a104ad', '69bf6e0583b4603e', '1a306618ca817952', '51252022ddf74fb9', 'b1f3e643fb405e5b', '04493f75414c6933', '2431adcdd3aeeff3', '6cee6d0abdf16185', '20681dbdf7a604ed', 'da1d47d3a5a46250']; context = [[1, 80], [17, 92], [119, 191], [2, 67], [7, 59], [4, 77], [57, 123], [57, 123], [90, 171], [115, 196], [143, 219], [2, 78], [124, 187], [3, 50], [148, 206], [69, 159]]; loss = 0.016565 low_pass_filter = 0.300
+Epoch 0: | | 33589/? [5:52:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 33590; scene = ['cb171c3ee0bb4bc7', '632fdd68fcdced28', '23e164d4f8460f5b', '70d878da47f984e4', '2636e6766e692274', '6680e7403d9fc3a8', 'f6d1abd75e475ce1', '0db0f89cbd496f99', 'abe86ae70ef7d4d0', '50d23c9f153fb2b8', '19382ec5b64975e4', 'c179864f6886d590', 'aca448559d1997e0', '15b12db73baa4918', '05a9311a64a0d61c', '921504f59fb80a42']; context = [[2, 56], [29, 86], [22, 98], [54, 138], [8, 55], [203, 261], [2, 57], [28, 105], [14, 64], [82, 165], [7, 77], [0, 49], [1, 59], [22, 70], [40, 103], [3, 55]]; loss = 0.012753 low_pass_filter = 0.300
+Epoch 0: | | 33599/? [5:52:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 33600; scene = ['c03b5d44783fdafc', '13b21c39447af9bd', '90a032cca2f3549f', '200606f30d491ae2', 'd4fc8c1bb4207683', '2e8464d78559e7df', '809ea9970b0c9ab3', 'cfdae9ffd278d230', '2cd22b0b79056c47', '927078aa7b644dc3', 'ace9cac554725d2d', 'ae26c895abed5695', '016d1174aa2a9c93', '2a010fc63a2a5bf4', '8b9eb83d96272f71', 'd353a9851abaa4ca']; context = [[47, 125], [0, 66], [9, 67], [5, 54], [10, 86], [31, 96], [34, 87], [140, 208], [53, 109], [5, 72], [60, 133], [2, 60], [23, 80], [5, 93], [8, 71], [40, 99]]; loss = 0.013859 low_pass_filter = 0.300
+Epoch 0: | | 33609/? [5:52:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 33610; scene = ['1c1171aa48cd3d30', '6d957940e86de915', '6817374ad089ff46', '03036efc7c7ae3b5', 'd7b9f1dac0249ebf', 'e9c131103e70cb7f', '5a99fe9366d19a76', '37df939509cbb013', 'a3bc042b68a67193', '3f82be8d7f99dce1', '3effc4406f9ddaeb', '9050781d7530582e', '87deda7b1929094d', 'b920fba1921824ef', '0e52986b67e75cef', '1d155fc2dbf621c1']; context = [[32, 122], [21, 76], [50, 106], [145, 203], [10, 71], [25, 96], [1, 63], [21, 96], [1, 88], [13, 64], [1, 49], [3, 83], [54, 126], [142, 224], [84, 139], [10, 67]]; loss = 0.013996 low_pass_filter = 0.300
+Epoch 0: | | 33619/? [5:52:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 33620; scene = ['272f7a997c94d84f', '1eb7cc17021e16ff', 'a7da6e77dce63eee', 'd281c7ae9754972a', '646dc19a503b1957', '4247d44c527c0945', 'd9eee6476fef03b4', '8b19c78df2dd7e46', 'aabc6d31aaa4b84c', '3010ed17e38d9071', '011096d6cf0ae11b', 'ea02fbd66994f682', '670345b640158b96', 'c1f2337f62ad3576', '5f2242ceed2ff1cb', '32b9ad4775ea81ec']; context = [[118, 165], [19, 83], [27, 77], [0, 72], [24, 91], [1, 87], [14, 64], [9, 72], [77, 123], [44, 93], [23, 73], [16, 61], [128, 187], [5, 78], [7, 63], [60, 134]]; loss = 0.012022 low_pass_filter = 0.300
+Epoch 0: | | 33629/? [5:52:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 33630; scene = ['35c68082e9967b8f', '4c5243aa962d4277', '96c58fa728dc5eaf', 'd3b719a3855f8ba8', '555fc89e0cb531b3', '8e6b88241cc7d11c', 'c5078f3771b597c8', 'd6ca8c7121be7809', '34cd718b5402bb56', 'f09700f48fe43b7e', 'ee90605f5f0a4d2c', 'a3a6ca42f6e72973', '9c4778bae799950c', 'eebabb84de0fe2cb', '881bcc1bc35c97cf', '06a701168e5297f7']; context = [[10, 85], [42, 90], [50, 134], [59, 144], [2, 65], [7, 91], [13, 85], [2, 76], [172, 232], [37, 91], [55, 137], [35, 108], [31, 84], [60, 127], [59, 109], [16, 62]]; loss = 0.016830 low_pass_filter = 0.300
+Epoch 0: | | 33639/? [5:52:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 33640; scene = ['bdb981148d4f5ab9', '724698b7bec91b99', '7e1f1a8ea0462d91', '58c80e5820b75155', '1c6199d31018d9f4', '82cb6547e9e4764d', 'b29f6dd77451ab4f', 'f7030da7965f4802', '3fe89efff3d1059d', '7add501fe23a7ce8', '513986b76c939519', 'da2089bb834c5d90', 'a2fdff8f3ea9d692', '52686964de0ddc8d', '200d9ecb37021957', '7721ab02f58499f3']; context = [[0, 51], [15, 72], [20, 77], [114, 172], [41, 101], [0, 90], [8, 64], [96, 151], [21, 93], [38, 88], [8, 80], [179, 229], [0, 75], [71, 127], [0, 55], [9, 82]]; loss = 0.011369 low_pass_filter = 0.300
+Epoch 0: | | 33649/? [5:52:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 33650; scene = ['f4b69d7fcab6b573', '8588928f69b6e674', '94ad4dd9d54284f6', '8c2d308b8c05f93a', '8510b5c8030d39bc', '6ed340794c43e5de', '03ccd89f68dc8276', '85df3336ad90d5f3', 'c660e0ba4f885ed8', '2df2d7c7a4f05e97', '952c38e1433be492', '57a37f6c17fb53bb', '29d4c936815664ab', 'e60298a9c1439103', '38147dfcaf667f6b', '8e1ad51b592ca929']; context = [[178, 230], [41, 92], [48, 115], [16, 91], [0, 65], [68, 149], [44, 131], [9, 85], [121, 182], [13, 71], [88, 133], [61, 127], [29, 88], [3, 50], [55, 144], [85, 135]]; loss = 0.011713 low_pass_filter = 0.300
+Epoch 0: | | 33659/? [5:52:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 33660; scene = ['c8b417659a525d04', 'a84685d7a8988a03', '91689c6ecf095e83', '14d89e024187afdb', '2aa6f67ade1bfc88', 'd11ea8e22f0cfdfa', '7d6513e9e60673c7', '3a4fb93324c90edf', 'c3717b9f586069e4', 'afdd7c99c134261d', '5addef32e61e7498', '70302975bde04daa', '6155643c15b60b3f', '35566e51a143cd1d', '57826825f0963678', 'e98c5da727a44b15']; context = [[61, 121], [7, 54], [3, 64], [115, 194], [2, 57], [21, 100], [0, 50], [12, 90], [106, 152], [11, 69], [42, 114], [164, 213], [5, 68], [2, 70], [5, 53], [97, 171]]; loss = 0.015865 low_pass_filter = 0.300
+Epoch 0: | | 33669/? [5:52:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 33670; scene = ['5f599b35b87b30ab', '36759e691725ce9c', '473b916dad00fc45', 'd6625cb538e7f064', 'f3663bd0444d3f5e', '843fe83814b8012d', 'e952c4a90e3e9b1a', '0c262b6bc566b453', 'c1cbcf2db1f8691b', '8ef3803dd3c43c10', 'aa15562d0b9fc205', 'ccc8bc2c0a1afe2b', 'f4fce4a624da37d9', '511d24d81e925e48', 'c8cc70f1e96adecb', '3921f3d86b2cacf0']; context = [[154, 216], [42, 100], [174, 249], [11, 65], [0, 84], [23, 70], [17, 93], [140, 185], [93, 164], [95, 143], [77, 122], [19, 69], [17, 65], [213, 270], [25, 111], [46, 103]]; loss = 0.013793 low_pass_filter = 0.300
+Epoch 0: | | 33679/? [5:53:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 33680; scene = ['97887fa6d823f299', 'a2291f408ac147fd', '09a8c772df887230', '037a2b4741801a41', '1740c16e99f6fce0', '440838d21213c5cf', '3c98cb9bb58c0c19', '0a8a91a9c70abb54', '9498cc76d3622a84', '14030101fce56c47', 'a7a271a1f4b8fdfe', 'c01ddf9edd323b8d', '4c1eefb41890dd47', '6faafc61a9ff1d4d', '2e34a777e9a0b80f', '88c287ba3e2d2959']; context = [[5, 50], [23, 100], [17, 83], [12, 75], [40, 129], [58, 103], [1, 46], [42, 98], [38, 128], [4, 67], [17, 71], [17, 70], [74, 119], [33, 106], [4, 87], [17, 86]]; loss = 0.014063 low_pass_filter = 0.300
+Epoch 0: | | 33689/? [5:53:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 33690; scene = ['786b8fe10a1011fc', '31892d7becccb4c2', 'e3d968a3356efffe', 'febe30b70312862d', '3222f64880a7499d', '8b4e816055908df8', '5419b1a00211303f', 'ade900eea4013390', 'f9e59718e238a159', 'd59c00fd440ac6c5', 'ae9f87b6c5c2c5de', 'baa0a61d22b9e051', 'd8a2cf8b506f71c7', '6b3e1c805ca87fd7', '71bb80ab49a07c24', 'f14d299d3c9989a6']; context = [[36, 107], [139, 191], [97, 151], [7, 87], [189, 274], [5, 59], [163, 219], [62, 146], [9, 86], [199, 271], [0, 78], [58, 104], [4, 83], [23, 94], [100, 162], [26, 71]]; loss = 0.014095 low_pass_filter = 0.300
+Epoch 0: | | 33699/? [5:53:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 33700; scene = ['d1588c9485185a4c', '4222ccd45b30e3ca', '5d9526b17d8736a3', 'f107b68f4a5f2f10', 'fcc4e26b563a8d96', '0c61bf4c72eee218', '26c6bb0e2234698b', '1d3d9af5e8de4a67', '590f202b18a0a562', '20d6ec0f2bc94541', '8060b04ab454bb81', '441344c9b1093515', '339350221e336f10', 'cbddb92c8ec477b8', 'aa6baa58fe0e6823', 'd9cdc72f6ece8b25']; context = [[50, 118], [215, 266], [1, 68], [87, 174], [0, 77], [0, 55], [51, 112], [1, 52], [184, 265], [14, 66], [69, 148], [4, 58], [23, 72], [67, 124], [49, 127], [17, 92]]; loss = 0.013150 low_pass_filter = 0.300
+Epoch 0: | | 33709/? [5:53:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 33710; scene = ['afe6b05d0554a880', '1aa5fdc9ff855ee2', '380aa8c6d47a59a7', '5a89880eb9996290', '780656b1732d5e8c', '121b9ec6234a4cba', '1643b6a11a819f37', '106fa5a7ff2a8839', '3655e1f5a559d79c', '8ad3918394be8d98', 'ba7019268cbd976c', 'f63d2df8871ce70c', 'af4565fb713ed79f', '6ac1609e850602de', '33bc577abb7897e2', '84216623fa45999d']; context = [[5, 58], [22, 68], [8, 97], [42, 105], [57, 109], [38, 111], [12, 83], [120, 166], [27, 81], [45, 125], [70, 157], [5, 54], [76, 143], [160, 215], [6, 77], [111, 185]]; loss = 0.011707 low_pass_filter = 0.300
+Epoch 0: | | 33719/? [5:53:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 33720; scene = ['9ce18e551df6c324', 'f22018a91c0e4afe', '4581b41b8a316a2d', '389b5b722545a8db', '99e4757b3ec84a1d', '5190e7583e7c034a', 'f6751290bd44926a', 'd0c197a8436159be', 'af1459f48e74c6db', '3169a93d40545f53', 'f45c0dfe6693c28f', 'c702b9672415a091', 'f421d632fde08451', 'dd70439f8c63e2c9', '52dad29ccea8dfa7', '44ab1ad50cc2d30a']; context = [[47, 102], [120, 165], [58, 142], [116, 164], [9, 84], [110, 194], [1, 71], [18, 89], [32, 90], [7, 76], [10, 95], [7, 55], [75, 145], [75, 137], [12, 95], [89, 137]]; loss = 0.014532 low_pass_filter = 0.300
+Epoch 0: | | 33729/? [5:53:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 33730; scene = ['027555111a253d5b', '2186daafa25b96fb', '4e6d33c952bfcaa4', 'f20cf4a70116d38e', '0d754618c77e44f6', 'c4d245912b2d96d5', 'bcb1b35c603efea7', 'c5efe399fc5b5484', '3b7938eaf2733a31', 'b01466523e734f6b', '17e26092b16e2f53', '2afa9fb38e8ed969', 'dc52eef1ceb52ed4', '829edc41b1f3753e', 'e153215f9411fd3a', '02f5bb43339068c5']; context = [[13, 78], [13, 61], [135, 214], [32, 113], [7, 89], [123, 173], [0, 69], [40, 97], [119, 176], [195, 258], [52, 106], [4, 89], [178, 268], [13, 85], [8, 75], [33, 122]]; loss = 0.011640 low_pass_filter = 0.300
+Epoch 0: | | 33739/? [5:53:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 33740; scene = ['95369acfcfef50ff', '3f718ed2439aa1c0', 'a8200970f4297da4', '2c842bb91ad229b5', 'c07c3b338ce22c3d', '8eb5e654849c2db9', 'bec26a2df41643b1', '19e7cce625884839', '004f2522f3d42f94', '0eb49c00fbc1331a', '2d7b0f3fe3160b03', '63d7389f65f05e23', '4aa337cac9b0b0e9', 'ea294617ac465cc9', '81c13db7794eeec8', 'fea9df7bb5b4a7de']; context = [[2, 68], [1, 53], [104, 155], [4, 83], [10, 74], [30, 79], [25, 101], [65, 139], [46, 95], [24, 90], [47, 94], [5, 76], [2, 83], [8, 92], [10, 70], [43, 100]]; loss = 0.012130 low_pass_filter = 0.300
+Epoch 0: | | 33749/? [5:53:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 33750; scene = ['ca5dd135bda87878', '361d4496a097d956', 'c4ef0bf2411b53b5', 'ada4a554d4c85688', 'efd11436686a1d4d', 'ab2201cb94ff14d1', '9928480e57340165', 'a2c2a0da3aef6393', 'f43cf4d04545b7c4', 'fdc2207613d5c1d1', 'b4272c9622c487b1', 'a42bdc737a8b726c', '4fb7f3cd39ad726a', 'ac0880525e3d3c59', 'f19c1b266757f967', 'a829c516eb0e8e13']; context = [[25, 70], [7, 71], [13, 58], [75, 145], [2, 59], [3, 84], [23, 86], [35, 102], [1, 70], [141, 207], [32, 115], [44, 93], [1, 46], [28, 85], [7, 69], [3, 54]]; loss = 0.011597 low_pass_filter = 0.300
+Epoch 0: | | 33759/? [5:54:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 33760; scene = ['66530b646b00a9d7', '0b4070d37e896388', '71a56f5379e2f975', 'e227d56dd6f178c7', 'dcb8ad3a1428b56b', '4cd18aa0eddf1c14', 'cdea215558754e76', 'dc226f9bd3c9ff81', '61779c081d05523f', 'f593978e69163b6a', '0dbc2ba493fd7e71', '813f700434b84d7b', '6dd9de7414467009', 'fa7006cace6c3841', '03949f3d535d6384', '82d755323ff34251']; context = [[10, 63], [38, 107], [97, 166], [157, 240], [59, 119], [1, 47], [50, 100], [37, 113], [26, 116], [67, 117], [2, 55], [1, 61], [39, 126], [108, 161], [41, 114], [1, 81]]; loss = 0.014326 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 33769/? [5:54:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 33770; scene = ['7eee1debf12cbc94', 'e105f9684d242932', '18569e146ef810c9', '5d69e11f2e2cc725', 'b34572a642288eda', '956da09524afb029', '30a0d868659a463c', 'dcfdedb838bddcba', '0d84f49089c8d865', 'fd7dda2e73e2ad17', '83cf02966f5f2d89', 'aaea1523d175b491', '225dbb89dbfdf8f8', 'd20934bff9f1298b', '350abc56828c23a5', '794f82190c77df55']; context = [[8, 98], [2, 66], [32, 94], [96, 151], [88, 135], [58, 108], [1, 51], [0, 69], [11, 70], [0, 65], [11, 75], [0, 70], [91, 164], [16, 87], [95, 146], [3, 74]]; loss = 0.010851 low_pass_filter = 0.300
+Epoch 0: | | 33779/? [5:54:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 33780; scene = ['7efc8e58de522f3d', 'f63e8858ae11bef5', 'f4a34387a442d930', 'a73adc456c696488', 'f4bce04ab5bfb79a', 'b248b09860307140', '54d51c52ce0c1adb', '22d5fc12e2b97512', '818568626b418b90', '7885f21461cd4377', '5ccebb9ae8057cb7', '75f9f8b758663455', '4ae3a70493900f6a', '9d7bae0be039a957', '406691a64cced965', '1df9284b9b3b08ec']; context = [[3, 90], [66, 114], [23, 73], [5, 81], [0, 54], [36, 117], [164, 227], [36, 94], [26, 82], [11, 63], [19, 69], [68, 131], [12, 67], [58, 111], [46, 105], [29, 95]]; loss = 0.012707 low_pass_filter = 0.300
+Epoch 0: | | 33789/? [5:54:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 33790; scene = ['81a5191642a4e2f6', 'd13aa03815d4e6c7', '7a8d46027f9bbe0f', '7afde63edd476ebc', '4a7b8ecb8a4b6c8c', '670996a0c92e881c', 'ca7b32d2ca5c8776', '348169b38c2b7502', '496c7b6f41acbbbd', 'f5488ccee2266a6e', '0cd856b59586f55f', '50680cca919e949c', '05bed79128a7bdcd', '41fdca291bbdd214', 'f242c906503f05e9', '09f50652cb821e5d']; context = [[32, 85], [88, 161], [105, 155], [5, 62], [15, 105], [12, 62], [79, 134], [116, 166], [103, 162], [9, 69], [138, 188], [5, 63], [16, 69], [1, 86], [0, 58], [5, 64]]; loss = 0.012874 low_pass_filter = 0.300
+Epoch 0: | | 33799/? [5:54:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 33800; scene = ['700597b1755a5ed4', 'b3026cd86676f9e5', 'b2460321a48015d6', '5c0bbb148984365c', '4c1c9d602737b16b', '369ef2ae4cb58ae5', '63451a162b7a6589', 'fd6479900daf0e7e', '3de36eca0531b5e5', 'e71dfa0818466743', '7776d22b2a8132b6', '92a71ca61a77d2d6', '6972d0b239803088', '37934ab378545cbd', '08362ea89cc94616', '77cc81b0c5730be0']; context = [[50, 126], [1, 60], [1, 70], [1, 80], [6, 72], [161, 237], [2, 49], [26, 79], [0, 72], [28, 77], [23, 73], [7, 80], [194, 274], [1, 87], [30, 93], [22, 67]]; loss = 0.012963 low_pass_filter = 0.300
+Epoch 0: | | 33809/? [5:54:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 33810; scene = ['6a3cee5a0ca00425', 'e910ae6aa6f7ff6f', 'dba0052f9fa2b5ff', 'bf59bf109ae484d9', '4e2ed8b2b55d9631', 'fa2cba4c57934de0', '5df6b46fb9668298', '673c9f1a868c7d0b', 'da0680ede2d63536', '7cbf9883cb0c72d8', 'c88763918c3b5bdc', '9807f8f6ea448e58', '7245e11c64786906', '6196f4fa2700b0af', '9b24a13077575305', 'a1a1cb1f687a2607']; context = [[34, 92], [37, 85], [1, 83], [145, 211], [0, 45], [86, 168], [6, 58], [5, 57], [19, 68], [67, 122], [63, 120], [56, 114], [1, 81], [18, 69], [0, 46], [45, 108]]; loss = 0.012456 low_pass_filter = 0.300
+Epoch 0: | | 33819/? [5:54:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 33820; scene = ['711ade236bebd618', '3ef02603081f00c9', '9b8fbe92c8e15c4b', 'aab67a3597f28686', 'b18ad2d92b4566cd', '03e14075bd5a554f', '2d2d0f5f4ed37eee', '7a2d701dd0bf81cf', '1dde46011900a1e1', '70ba8be172f1d209', '0bf7fd35f239db86', '177f4c538bca33cb', 'cf63aee5c595cf86', '87d4cd64fed11f2d', 'ed1f9d7e553c16d3', 'fff4b775cc7b0e4f']; context = [[140, 196], [18, 75], [148, 207], [32, 88], [7, 89], [17, 85], [6, 75], [6, 92], [29, 106], [5, 58], [78, 164], [16, 69], [37, 89], [21, 101], [12, 74], [0, 53]]; loss = 0.011233 low_pass_filter = 0.300
+Epoch 0: | | 33829/? [5:54:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 33830; scene = ['e8fd361c0e8c0ed2', '8a2f5ba760876b2f', 'df6dff60219b49ae', 'e51e837317777591', 'ebabecc4ecb402fd', 'c8e1e05b4f1100f8', 'ceb071e06ffd352c', '742911cc30936fe7', 'e9cf45d13b468385', '0135fe3bef30e6c3', '809b4a8e19071407', 'f95e0898918ca26c', '54cf1f74450300d1', '64a6562ba1fe1b76', '3417ccdc82a1f9b0', '4a5b796fd4f12fdf']; context = [[60, 111], [3, 61], [4, 53], [61, 130], [26, 113], [9, 74], [4, 93], [78, 128], [70, 115], [17, 63], [58, 137], [14, 89], [19, 92], [29, 87], [39, 107], [199, 246]]; loss = 0.014461 low_pass_filter = 0.300
+Epoch 0: | | 33839/? [5:54:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 33840; scene = ['fdd79619ef66bbf7', 'ab48b85e9755697e', '087764377e498aa6', '330fcfa98fbe07d8', '4c4c66eb8440e75e', '1daa5a27b4119f90', '2fe5a6b92cc71b74', '85cd5c3b6ecf03fc', '209a86f54836420b', 'de61efbee4c2b1cd', '2e0974f13b85cce8', '96ce3e617124a934', '9bf893735e9b1ab8', 'd29ac5d4f2c01cd8', '4e42a798152f2381', 'f1a81e9c8264e5a2']; context = [[138, 228], [20, 69], [17, 88], [3, 62], [22, 98], [41, 95], [0, 79], [9, 70], [41, 90], [80, 162], [114, 162], [81, 160], [25, 95], [89, 135], [21, 71], [15, 86]]; loss = 0.012115 low_pass_filter = 0.300
+Epoch 0: | | 33849/? [5:55:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 33850; scene = ['60a98bd587a94fe9', '280d86c9b1d9e685', '9f7d4e8ac837bc40', 'ee333e5ab4849d4b', '7333c9e20f6e07f0', '726d223b54e1583a', '16fd029febc69afa', 'aab096b87db1f7f9', 'a86dd7257f21bc73', '823e8aa370cb9572', '03ab8e64ffcaafdd', '4bb3f26074af8285', '22947b2433ed9dad', 'a8525660357e659e', '004673337d29eb87', '5508ac103ddf830e']; context = [[15, 78], [0, 57], [24, 108], [137, 217], [69, 144], [166, 246], [11, 91], [49, 101], [0, 47], [51, 115], [23, 79], [56, 111], [38, 86], [37, 98], [18, 68], [118, 164]]; loss = 0.012304 low_pass_filter = 0.300
+Epoch 0: | | 33859/? [5:55:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 33860; scene = ['782479430e1462b3', 'bf3d2ce851c5b70b', '55ee1591683fb4bb', 'faf4417f82796005', '46fee8f9d1cbb8d1', '70709179f81c7844', '1de70b115c94b564', '97399fa3221758b7', '7f0f935534ba381d', '4a8a904ebe41be1b', '989c98919c961cdb', '6112242cf8490550', 'e64bf22802b6a5ea', '5992275ecfbf71dd', '59b0b8a36f30d4da', '72b10d15231b751b']; context = [[33, 91], [7, 95], [198, 243], [1, 89], [69, 132], [133, 200], [40, 98], [65, 125], [3, 54], [19, 69], [1, 85], [205, 257], [19, 94], [49, 108], [15, 90], [0, 84]]; loss = 0.016092 low_pass_filter = 0.300
+Epoch 0: | | 33869/? [5:55:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 33870; scene = ['30a135d3ff9582e9', 'afa9df1446e5df8e', '86d9acf576d8ec0b', '06dfdeca94f15bc0', '7e58b6857e275547', '36846d6fa22bba62', '1e339189e5782868', 'c6b5c4c06be45afd', '96b163f47895beee', '2dd4d2a252e34405', 'fe1cf5504260d4ea', '23d17b97a9d3674e', '83c9baf5bbc941ee', '252d07dbf10a308c', '9d47d4a28f90eed6', 'd0a37ee36c554b61']; context = [[24, 92], [6, 53], [126, 190], [52, 128], [158, 232], [9, 89], [9, 97], [96, 159], [56, 142], [4, 78], [14, 88], [13, 73], [78, 151], [29, 95], [64, 114], [67, 138]]; loss = 0.014061 low_pass_filter = 0.300
+Epoch 0: | | 33879/? [5:55:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 33880; scene = ['8a8c1abf67252003', '434d007e811ee7a8', 'd49c1d10428b3d70', '4d6a1bf4c39100f7', '964a7d0c80ea431f', '0e10db62c44b48ba', '11112d5aeab31689', '5387ea1020469345', '1182d7d1c0cbff1e', '65dc8616fdde3ea8', 'bcba9e739eeb3c1b', '0c7d36ad5763c797', '4722c8deb063edf6', '2972a48deb0c801a', '209188b1da3526c6', '6a40b490a091c77b']; context = [[20, 71], [40, 130], [13, 71], [2, 48], [164, 251], [64, 130], [1, 54], [0, 45], [46, 95], [66, 137], [51, 118], [6, 89], [11, 95], [10, 59], [1, 49], [27, 72]]; loss = 0.012437 low_pass_filter = 0.300
+Epoch 0: | | 33889/? [5:55:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 33890; scene = ['a584b2e57a8134bc', 'd3dc24cd90a79d97', '0aa07b78c395a680', 'c45d298bb3d0da30', '44b11ed1882e73b6', 'fb330853f70eb73d', '4ac2c53d8a94fc4e', 'a52873b76bc23753', 'e4d6ec2508bbf420', 'c084573502466243', '7bd870f9b2a9a6f7', 'da3b6adaf492411a', '53be81693f0a2322', 'a3655a06595bfb29', 'bf09418608207a23', '764281da53fca2a0']; context = [[4, 93], [0, 52], [1, 53], [97, 159], [45, 99], [17, 80], [1, 59], [3, 63], [60, 111], [207, 254], [33, 101], [1, 50], [3, 56], [58, 127], [20, 71], [1, 60]]; loss = 0.013671 low_pass_filter = 0.300
+Epoch 0: | | 33899/? [5:55:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 33900; scene = ['2e9c930a8dd5726d', 'db95ce78ff912a33', '576909f1c743b2de', 'ffd0b677c1f36a7f', '1825e5c359626746', 'a2012fea65fdb1d1', '3834d878ae1525c6', '2cf102bb6b9d37e8', '9573c6a7df41a123', 'a0f9a5c04c8e602b', '027f46042d62d8dd', '1d260e4bebf2c0e6', 'd8e1cd667f0c5721', '40f122a087305b92', '3c60078735491108', 'bd64124de2aaeb79']; context = [[26, 73], [1, 53], [104, 187], [36, 106], [68, 150], [131, 205], [6, 59], [65, 111], [9, 75], [23, 85], [19, 69], [29, 103], [7, 75], [132, 209], [85, 163], [4, 73]]; loss = 0.014462 low_pass_filter = 0.300
+Epoch 0: | | 33909/? [5:55:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 33910; scene = ['9c023f327ece2911', '8742bd2ab32b9163', '493047f10d617f3c', '243515e0bc44ae29', '0c6abcc734bb3112', '9ef8aedeb93cd9b9', '53754ca100a3c2a1', '1970a18a09507fc8', '9f9213ddabd7bac8', 'd15fc66cd14bb973', '53a047ae113b5b3f', '3df78a46912f03d2', '3c692507a0a83d02', '210cf1a3bb4a8bf1', 'b7168a9c1a6ec502', 'e60726e96c92ea50']; context = [[2, 71], [0, 57], [23, 99], [0, 74], [196, 277], [51, 123], [20, 70], [130, 184], [11, 93], [92, 168], [38, 83], [150, 227], [217, 270], [34, 92], [7, 60], [33, 94]]; loss = 0.013066 low_pass_filter = 0.300
+Epoch 0: | | 33919/? [5:55:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 33920; scene = ['4aab38e2291002e2', 'b475ad72dc270b12', 'b438e71fc71a3e83', 'ae60de24dca7d5c9', 'e7b9cfc04402e96c', '8ac5b94f705e0115', 'c3659122206f5c96', '0ddd867fcc458ad6', '7b042f9e148fa642', 'bc80d47a3654159a', '5f1bd21bfc711755', '64a249e7fc5aa400', 'bbf5bf0f5a0f9d48', 'a92d3d27a0305b77', 'e58d87c7ddb7fec5', '1da206992563b2b9']; context = [[65, 120], [112, 195], [56, 136], [26, 106], [67, 153], [16, 101], [42, 99], [94, 153], [205, 254], [12, 75], [32, 88], [57, 140], [0, 49], [4, 50], [8, 77], [67, 156]]; loss = 0.018108 low_pass_filter = 0.300
+Epoch 0: | | 33929/? [5:55:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 33930; scene = ['9622d9a4e65bd2b9', 'de4deb5003c39eaa', 'ba1bcba228f782e7', '3b0b68d41e6ba982', '23b93c505afa66ee', 'b1b3445652e40300', 'd9121fd963a819a3', 'f1b3a5ea8e5b5c49', 'a7f2a84e3c3d2246', 'f777e84de50ab343', 'ab6600ef83892674', 'e91cd0784017f8a7', 'e68808e77f09746a', '8166337e9da74ddc', 'ad6d6d34f16b7199', 'f0f5d8ba65b99940']; context = [[8, 59], [1, 68], [111, 167], [33, 81], [8, 81], [169, 226], [33, 89], [134, 179], [5, 53], [19, 75], [53, 99], [16, 73], [0, 67], [1, 75], [20, 67], [21, 73]]; loss = 0.011913 low_pass_filter = 0.300
+Epoch 0: | | 33939/? [5:56:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 33940; scene = ['f5c8d1e28d1755ee', 'be83f0f9f3f61823', '72d95fa33e0cb3ce', '2ad7b1453cf18a65', '090832426d674a08', 'afb88bb116c5064a', '523de06262ca8188', '127377071ae205da', '06478c4b8a84db0e', '65911963a46bcb83', 'da3ff7fbc613e687', '8b700c2734f29339', 'cb524479156837a7', 'f699191b86f38a08', '55668f4c760d49d4', '340f5087521b0117']; context = [[8, 79], [0, 81], [76, 140], [0, 45], [24, 87], [98, 147], [24, 82], [72, 155], [10, 63], [60, 132], [112, 202], [83, 154], [48, 94], [11, 66], [0, 67], [7, 83]]; loss = 0.014404 low_pass_filter = 0.300
+Epoch 0: | | 33949/? [5:56:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 33950; scene = ['00c26c8b16e5a435', 'd90c624ad63cd48c', 'c24195c8d6c4f8c5', '4abac98c209d4fb0', 'c6b93fadc2670c27', 'd0ca50187d5095ec', '9e912cd1f7d18579', '6e2a3910091fd84f', '1a27a41d548cb8d5', '45f1e692a489735e', '2a2885f3acb57e98', '9525a072309439fa', '96eefde05abe8721', '14267b4877f2bba2', 'e6927e3ec3898166', '0a1c6a4cd53b9fff']; context = [[34, 109], [8, 86], [0, 70], [19, 105], [33, 94], [11, 89], [0, 84], [57, 139], [24, 98], [86, 135], [97, 150], [100, 171], [69, 157], [38, 98], [3, 88], [63, 114]]; loss = 0.012694 low_pass_filter = 0.300
+Epoch 0: | | 33959/? [5:56:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 33960; scene = ['900522b1f171d2ad', '0d67b5add85d8684', '0f18776cffbe3802', 'c773a533e1a0fbbd', 'f13daa95a8b6d3cf', '8469432c4fae78ea', '252e1265b744051f', 'eb01f26d78c872fa', '35f3f48e1d677084', '8b6d44aedbc03a43', '1ee8194ce6a0bbf1', '16f92ab8ceeb474e', 'c19d301b19745448', '007802ba570b907f', '73c8b1e9ff72ca8b', 'ce0d81a8826d6ca7']; context = [[24, 76], [12, 76], [86, 169], [13, 66], [3, 70], [44, 116], [89, 175], [42, 92], [18, 75], [46, 109], [5, 55], [85, 157], [28, 74], [6, 87], [13, 103], [17, 84]]; loss = 0.011774 low_pass_filter = 0.300
+Epoch 0: | | 33969/? [5:56:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 33970; scene = ['b4f32184d75081b6', '7655b21afe2bb31a', '242841ee74265123', 'b1f86c6a9f0a31e3', '7ec8e2c63918d288', '407afea319832398', '82e02b2137ab99c5', 'c199878842dfd196', 'b0a7c8eb6675bcad', '2fd07f9ddaaec6e0', 'cd2d5446f028b0dd', 'e3039931ad850b3b', '99ceabbc97e0d7a3', '80c55d2356cf1eef', '0126ce03ade7e578', '28be4c2b9208df0d']; context = [[12, 92], [7, 55], [129, 202], [107, 176], [52, 120], [2, 52], [100, 176], [42, 108], [16, 94], [1, 51], [88, 145], [22, 68], [62, 107], [35, 80], [29, 75], [45, 95]]; loss = 0.012174 low_pass_filter = 0.300
+Epoch 0: | | 33979/? [5:56:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 33980; scene = ['52004686b48e29f3', 'f2132aa929026299', 'fd03288e7a92cca0', '7cfad9304d304a1a', '51eb269cd04978af', 'ece06aa8ec578fc5', '72655eb92e7a819e', '3f1f6c65bc38ba4b', '532b4823217b37f4', '4828d3b7ef441838', '5635caabe31c654f', '8379b59afe807099', 'ecf44fdec12c9ddc', '02a9f1d0c440516c', '196e7292497fe4a3', 'de2eb4f6f8635fff']; context = [[21, 105], [1, 79], [65, 110], [0, 83], [5, 87], [7, 77], [139, 204], [49, 100], [120, 193], [38, 114], [27, 76], [59, 107], [49, 126], [142, 216], [3, 77], [28, 80]]; loss = 0.015465 low_pass_filter = 0.300
+Epoch 0: | | 33989/? [5:56:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 33990; scene = ['ce417ca74c6ce0a4', 'fd57ecf0095b8c2f', '93d0907e4e9dfc64', '8efcb7e9a81c2261', '95c55e723bfd68fa', '5e7040c6384bdda7', '3a444379f8c5e5c0', '9d46e65b9edc9c15', 'fd84675a5268e518', 'abf952722816c296', '3fd549f7eef1c12b', '2f47027fac0c598b', '2f709b926f593fcf', '798ed35225d5c255', '7f5e74372632e88a', 'fd36e02a115899ff']; context = [[7, 67], [27, 72], [44, 132], [0, 61], [2, 47], [2, 86], [71, 155], [26, 102], [12, 90], [9, 56], [12, 78], [0, 59], [39, 86], [31, 87], [1, 51], [0, 45]]; loss = 0.013762 low_pass_filter = 0.300
+Epoch 0: | | 33999/? [5:56:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 34000; scene = ['7bdeaa5ddcb319c8', 'f5db0bad3ebe96e3', 'c7af45d1166fe6cb', '6e1a2b5a4f427345', '73b27f4f150327af', 'b24a35dc8884076b', 'f6894181dbf11e40', '57a51e1d7e1b80fe', 'e2057c3395c0235f', 'c27f30b71f9279fc', '1d610e7d3d756ca4', 'b58ebbe9b137ac08', 'df2160a1c74477b6', '76102a284ac733bd', '16d3bee1ca19a1f3', 'c12fac3629f20e64']; context = [[12, 73], [11, 98], [4, 63], [0, 88], [3, 68], [77, 138], [18, 73], [29, 83], [5, 91], [9, 62], [42, 99], [76, 121], [62, 136], [13, 95], [5, 68], [150, 208]]; loss = 0.013047 low_pass_filter = 0.300
+Epoch 0: | | 34000/? [5:56:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0validation step 34000; scene = ['f0feab036acd7195']; context = [[0, 75]]
+Epoch 0: | | 34009/? [5:56:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 34010; scene = ['180608332f0b1b2a', 'accfed2fa6ff849d', 'e0b48fb2ddbbe96b', '2225123ef31a93e4', 'd0aafe6b7593a8c6', '8a09ec7946cf4938', '89b54f912927a60b', '7d7bf8fc97c29961', 'e57a57f50e6a5438', 'c9ba8f17c6191867', '2c38ebf17747a14e', 'c21a51e62f022171', '654a4ef182f4e8ae', 'a48622051ee5dad1', '2b787547ea496776', 'fc6f8e4478f96b29']; context = [[40, 125], [22, 108], [102, 170], [17, 78], [31, 112], [50, 114], [45, 123], [207, 268], [9, 97], [59, 120], [31, 106], [1, 80], [25, 104], [29, 101], [29, 117], [3, 62]]; loss = 0.013566 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 34019/? [5:56:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 34020; scene = ['5894b8e2dcc63d0a', '33a50acfb174d4ef', 'db04d7442f7d6ef8', '798554da3b801bfd', 'c349ef13e27da92a', '2ce944c8f052910e', '10c29deb681b55cf', '43558297b3bf32c5', '829dca1fdf41c748', '818fb2e314a810cb', 'a886961a446251d8', 'bf5dbe3031dbd6ff', '3209d1a9fe4edac3', '0e312299aada689c', '11c1dce651050522', '83f01c4310f19278']; context = [[26, 90], [3, 84], [53, 139], [2, 82], [11, 61], [190, 236], [24, 114], [121, 174], [11, 100], [57, 112], [71, 143], [12, 101], [70, 136], [9, 93], [206, 274], [15, 83]]; loss = 0.014383 low_pass_filter = 0.300
+Epoch 0: | | 34029/? [5:56:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 34030; scene = ['e58aef4f17a0c6f3', '29b3050a9c0f3135', '235afe4bbaa94b9c', 'b5dcef5537020e66', 'c9625b7ca47d8394', 'c533e77834773e25', 'eab03fbbc0207b22', '726abddb5bbed988', '68c5b856271c995a', '15b941aff6a4a6f0', '3c598fdb2b6d5dda', '9e20a3413265809c', 'f411cde554331f0b', '87342b7db71046e3', '51992c2c49e7af85', '769df1d13bf5f053']; context = [[194, 274], [3, 88], [10, 56], [16, 83], [33, 87], [23, 86], [12, 84], [194, 243], [13, 100], [85, 153], [12, 99], [1, 72], [2, 59], [9, 63], [19, 64], [8, 62]]; loss = 0.014234 low_pass_filter = 0.300
+Epoch 0: | | 34039/? [5:57:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 34040; scene = ['07d3325178e7a790', 'ec36aa235dc5a597', '54531bd9aed3cf49', 'a16e45a09df8b6f6', 'd146ac2178174b0b', '582e55ec65468ea7', '62d36b447e464a20', 'd62251480933c90d', '4089d9cc4c12d41f', 'd6187fc008e4e1dd', '062086066c0ea441', '212b7aaaf7ca61b8', '8c53c8ead708f5c2', '10d244f532805eac', '0e026a7b7626df9c', '414c7fb7f1706a59']; context = [[8, 90], [8, 87], [34, 83], [85, 170], [1, 46], [3, 75], [25, 103], [0, 48], [3, 52], [10, 68], [1, 69], [0, 62], [42, 87], [0, 45], [196, 278], [14, 70]]; loss = 0.013667 low_pass_filter = 0.300
+Epoch 0: | | 34049/? [5:57:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 34050; scene = ['6da80899c3b2a390', 'dfa45a3b05c106e6', '7aa1daf4bbe3f6a8', '46770890b4e5253c', 'e7f99c193dcd3303', '0c2a6a46327e0593', '024510f12d858de0', 'cfd8a6b28bd18a82', '28912a4170e65b54', '68eb456659acae80', '9d9ee8edd63e2417', 'd76f971c6513e644', '68a409152fc28a55', 'd0e60247bcdb97b2', '2e9292655d0d4dd5', '85abdea85f9965c7']; context = [[49, 118], [99, 180], [39, 91], [24, 84], [70, 135], [8, 65], [62, 114], [170, 251], [75, 164], [45, 125], [20, 97], [10, 68], [185, 261], [3, 85], [14, 102], [8, 67]]; loss = 0.018202 low_pass_filter = 0.300
+Epoch 0: | | 34059/? [5:57:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 34060; scene = ['ffe748128f835e3f', 'f0b0ba349ae4a0e1', '04558759b166c534', '68cbb26505f30aa2', 'db055fee570cf6f3', '67f4d95b24735dbe', 'e73470c1138defe5', 'a0fa5b9c6505db2e', 'e779a9ee81f81494', '5343d2fd1ac864f8', '309042ec8c6f37c4', 'f542fb988f4db656', '202ff0e0f9efa848', 'a09faa0838bbc204', '4f59b983441331c4', '92ea8cb5f28d80d9']; context = [[74, 149], [78, 123], [14, 74], [51, 133], [2, 80], [0, 73], [0, 66], [16, 64], [1, 73], [77, 131], [140, 185], [1, 59], [9, 88], [0, 84], [40, 96], [3, 64]]; loss = 0.012814 low_pass_filter = 0.300
+Epoch 0: | | 34069/? [5:57:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 34070; scene = ['68657e48548014c1', 'bda1da95e32bfa6f', '75658e8027c86067', '4cc1fe94dc835080', '53444636e876dab6', '8939b98ed0a32929', 'b1ddaa87daa7e8c4', '0a9dfffcef241987', '226569acae0ad65f', '231b021798b62c23', '7a6106a2f6d489f6', '5bcaff024cc940a7', '7d84b08aa4859b2c', 'e74ae258141bb639', '7c492dbf0a2e0c05', 'eeef009fa73f29c6']; context = [[15, 103], [6, 72], [3, 90], [16, 83], [12, 64], [16, 82], [55, 105], [41, 92], [98, 183], [68, 127], [164, 253], [43, 98], [1, 86], [203, 272], [15, 96], [15, 82]]; loss = 0.015082 low_pass_filter = 0.300
+Epoch 0: | | 34079/? [5:57:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 34080; scene = ['f8f6815b4603e249', '41f000038be464ba', '855b442a693cf2b7', '71210766ebea65a0', '51154114c19beea2', '0b807904f44b21be', '1ffe50aa97052b99', '8f3ba3ed5ff1e229', 'b9c5c7b6db633f2d', '225ba5fd4f771aba', '94268cc0d44cd2f8', 'a924aad5ec2cfb5e', '10be733844e0542c', '012d6a11ce2461e5', '19b10eae955dd969', '37620819c4ca733f']; context = [[6, 65], [130, 191], [37, 102], [1, 50], [2, 48], [2, 89], [18, 70], [37, 109], [33, 88], [31, 95], [58, 109], [12, 87], [28, 109], [5, 81], [8, 96], [5, 51]]; loss = 0.014217 low_pass_filter = 0.300
+Epoch 0: | | 34089/? [5:57:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 34090; scene = ['938551a1aea8e910', 'd09587e797df6d1a', '3eee617965b7f050', '15e805f2aef1fb98', '4834d0f3d7b08173', '7cc44300198ebab6', 'db7c001b56cc58f9', 'e38ffe279d74bdab', '2439d921b0ded44f', 'b809f86166cf31b8', '4ba8aab928daf0c7', '4564448b2f24c851', '32078eb83807dbf3', '61ddcdd79d0586b8', '9e5caa15739ef3b0', 'd1a5538f3ea4bb56']; context = [[144, 221], [0, 45], [19, 78], [9, 59], [33, 103], [1, 51], [184, 238], [5, 90], [0, 49], [12, 82], [11, 77], [81, 155], [6, 55], [18, 96], [182, 246], [70, 116]]; loss = 0.014004 low_pass_filter = 0.300
+Epoch 0: | | 34099/? [5:57:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 34100; scene = ['f870b5e7cf884540', '9767647b437c9127', 'bfb5551b6819ae8e', '08435fff1c2ec4d8', 'c375ecb71ca086ef', '54c24727beeaeb16', '1f30743a571709fe', 'e7d4009259e5cdc4', 'a33988847bf8b2d8', 'a2943efa8ad785fe', '29e53d3aff0b9a9d', 'cb64aaa680fba010', '7a495a81c692dca7', 'a33a602a48346816', '6c5d6e606cd2d2ac', '920891e5bfb74f6a']; context = [[10, 55], [18, 65], [114, 159], [180, 248], [3, 86], [10, 100], [51, 96], [65, 116], [4, 73], [46, 99], [25, 77], [128, 198], [49, 137], [2, 55], [19, 74], [13, 83]]; loss = 0.013021 low_pass_filter = 0.300
+Epoch 0: | | 34109/? [5:57:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 34110; scene = ['7d1f1a0e18d49747', 'b05956f4d856f617', '1cacfe69c509febf', '2765f5d2bd45f599', '591324b1a786d91e', '71843154fd778989', '6e024fbe00be60cb', '6b93a9fa1ce08986', '04740510b6d96720', '06fa105dc99b1146', '7d81b28b7afe5738', '8f243526414052a6', 'af9f9ef0469ba964', '792c3b369bcd98f6', '847f9e4b492c7a50', '9c36d2598d7e13cf']; context = [[0, 73], [139, 223], [16, 63], [0, 89], [1, 87], [0, 45], [12, 89], [15, 63], [22, 67], [4, 69], [192, 244], [125, 206], [9, 59], [33, 78], [0, 72], [1, 69]]; loss = 0.014973 low_pass_filter = 0.300
+Epoch 0: | | 34119/? [5:57:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 34120; scene = ['fdfa2bdadfc99d14', '7ce73150f91ec12b', '6db6b9ec74297f7e', 'cdfee7021f80e4cb', '250be6ba44083611', '08fd748d62f03890', '1d67a9e0bedfa5af', '430eb2cc042b8939', 'c38ba3bd81257841', 'd68e42512bdc7c57', '982a10bb680bae27', '9c37763c5138d4a0', '7555e47b02789beb', '9287db30ff7af69a', '819077a05ec815dd', '37e9852ebeead35e']; context = [[62, 112], [0, 49], [3, 89], [33, 118], [20, 101], [1, 62], [4, 66], [89, 153], [28, 77], [0, 66], [96, 141], [3, 56], [44, 90], [94, 165], [3, 83], [16, 69]]; loss = 0.013372 low_pass_filter = 0.300
+Epoch 0: | | 34129/? [5:58:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 34130; scene = ['be46f8455477ba86', '71ffdab54dd4d5a6', '4ba1c378fd584bdd', '19c1be98c8cc8c2f', '2359aae1dcdcad57', '3b55d9ff7f824fb3', 'a33ab61ae99bf117', '7002050eaf600751', '677f2e47f3371b23', '09ab565950cc3b2e', 'd677f3e6092f2fb5', 'ba46035ebb408dd6', '6d68e73f69d73d07', '1b97512a507c1af7', '30ed18ab2cc0e103', 'c736f11c968c7121']; context = [[137, 191], [11, 83], [2, 66], [28, 76], [5, 77], [91, 180], [0, 47], [4, 71], [7, 73], [31, 116], [1, 52], [33, 112], [12, 83], [1, 73], [97, 174], [21, 73]]; loss = 0.011406 low_pass_filter = 0.300
+Epoch 0: | | 34139/? [5:58:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 34140; scene = ['e63a00e8eea0af4d', 'f2464b0984e5e28b', '91e33a6f46dce12d', '0611f2d02bc065db', '55dcd01b5de0264c', '2635202ce1044380', '0f2d47fb28cbc808', '17967e4f66c09b0b', '97a5b7691a70c955', 'd73f44859940e79a', '62fb64631e202247', '42cb1d6d9caae5d8', 'dc045f980be4ef22', 'e45c98837dae8246', 'aaa5735e7eecae48', 'a230e0de2c7e6bcb']; context = [[0, 51], [9, 63], [4, 61], [177, 244], [0, 74], [172, 222], [111, 164], [73, 129], [17, 71], [0, 53], [16, 65], [24, 75], [3, 53], [17, 68], [0, 72], [157, 203]]; loss = 0.015643 low_pass_filter = 0.300
+Epoch 0: | | 34149/? [5:58:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 34150; scene = ['ac240008d63e3e71', '3e9238b90b96f5c4', '23b239f20ccbf0b1', 'a7febe0745056a8d', '50224dd4b565bffd', '8399ffab2ef259e6', 'f91a3e9c7d43e2fb', '023dd7f0dd79eac3', '2fbef52fe146a7de', 'd7ec76b4ef960ff4', 'a92f224409e7c548', '07cb8141561cae19', '1a9fd6edb8506ad3', '537fbc9d624c6a7f', 'e9916ce512982a66', '01c9eb355dca4a73']; context = [[98, 165], [22, 74], [22, 101], [53, 127], [3, 49], [3, 53], [25, 115], [11, 94], [1, 53], [6, 59], [104, 191], [5, 90], [103, 190], [1, 52], [5, 68], [55, 120]]; loss = 0.019058 low_pass_filter = 0.300
+Epoch 0: | | 34159/? [5:58:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 34160; scene = ['3de78a7d8061257e', '66b0697258859fc4', '285ea3ebc64813a6', '100fdf7a7ea656e5', '3b22bca6f62b1f3e', 'f64237ff041b948a', '0fe8246bb7e2fe40', '765acee91f090ca0', '7180ff013e6035c1', '8051ef7dc674bfb5', 'd85bf23db2a97502', '169aaaf51ef3849c', '9b8b7ae8b1327717', 'a8fd70a20f903de0', 'b5b675c6e453338e', '3ca07375c57023fd']; context = [[6, 70], [6, 51], [71, 122], [9, 68], [1, 57], [0, 82], [8, 83], [2, 57], [164, 253], [25, 110], [59, 132], [12, 63], [4, 62], [169, 228], [68, 114], [9, 67]]; loss = 0.015816 low_pass_filter = 0.300
+Epoch 0: | | 34169/? [5:58:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 34170; scene = ['c7f1f64866b9f339', '72d1db88ce59f38d', 'ad48bd771da942e6', '8d40edc936f98580', '42232760cf2895c0', 'fb363e2a9e955254', '4fb3db43b25c1b5b', '7f86cc612b930ec8', '00399697cc95c81e', 'e5b2e476d8964707', 'c96c6f277ad3d8a2', '7d4ae8b068dd56e2', 'db252809f42d6640', 'c59cb17aac770c33', 'b23c3e353098796e', 'a0cd40e7f1fb866b']; context = [[35, 97], [0, 48], [162, 231], [0, 52], [180, 248], [91, 137], [51, 101], [82, 142], [15, 100], [42, 88], [2, 70], [209, 270], [15, 75], [8, 95], [9, 91], [54, 139]]; loss = 0.009461 low_pass_filter = 0.300
+Epoch 0: | | 34179/? [5:58:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 34180; scene = ['11e2614522477b12', 'd2879d5666e82850', '27ec00bdc19a15e1', '4d6216446375ae8b', '12945d32f3aa263a', '29015f8505119460', '88c699e2a02f443f', '8de0ff88075b6afe', '4a298cfbc4fd5674', '177e31b9d7d375e8', '17af71bd035c4f28', 'f4a60efb78719207', '11e172e433f7e055', 'a3dcd56be6efe531', '4d92ab13df7d131b', '03318c7aaa8c78ed']; context = [[14, 76], [15, 79], [35, 97], [85, 155], [0, 51], [9, 78], [6, 67], [10, 93], [20, 105], [6, 54], [24, 107], [129, 205], [10, 87], [0, 81], [10, 59], [12, 89]]; loss = 0.017880 low_pass_filter = 0.300
+Epoch 0: | | 34189/? [5:58:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 34190; scene = ['67f4d95b24735dbe', '309042ec8c6f37c4', 'a0fa5b9c6505db2e', '202ff0e0f9efa848', 'c1440b721583301b', '5c94f503e4e84163', '8ea8e261b1221b3e', 'f9439e8dc272843e', '705be65c924cf493', '6df21c4db6f156cd', '69021acc70411fbf', 'a17898923fa069b5', 'e865d846466cb59d', '49ae06a8c3eecdb6', '4280ea1ea85c43ff', 'e4532151b691dd37']; context = [[31, 99], [40, 92], [8, 58], [127, 196], [176, 234], [44, 112], [3, 68], [2, 71], [62, 121], [2, 49], [18, 96], [175, 251], [8, 83], [13, 68], [11, 95], [9, 72]]; loss = 0.012880 low_pass_filter = 0.300
+Epoch 0: | | 34199/? [5:58:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 34200; scene = ['164d8c162b3380cc', '7bc6193e511cc112', '56d278fccc3262a2', 'fd3b8c9110472be6', '21fbf47a07583ef0', '1dfd45ae5fde116c', 'c896b9790d75ba5f', 'd5cb4b22561d402b', '6bcfad17928a7596', '54611c559b51c587', 'a2169d8a42eab0f2', '66a9d47b11862e57', 'bca478c2af68d48a', '963ffe1f417614c8', '31828fd2f1e02290', '9e14c87454ce7a5c']; context = [[108, 185], [174, 234], [3, 48], [19, 105], [147, 194], [5, 80], [11, 58], [0, 86], [11, 86], [5, 50], [51, 133], [5, 72], [59, 119], [123, 181], [0, 85], [35, 103]]; loss = 0.017827 low_pass_filter = 0.300
+Epoch 0: | | 34209/? [5:58:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 34210; scene = ['e54270e8e039760a', '4789f20a91882ac2', '61ea027543aa0282', '79d8736fdaabaa67', '68b8b50bb5f5e3cf', '02f102fb7456ad49', '5483116a684a6f15', 'fdb40b75798904aa', '45ba7b9c8d4697a1', '769eac54952cb6d9', 'd953c394eba189af', 'f5627568e2911bf5', 'bf72ae628f0b24d8', '05f2e4e62301ac6f', '601834a050761ae2', '424d637b6cc26ae1']; context = [[62, 149], [18, 91], [2, 65], [10, 57], [214, 261], [7, 86], [54, 140], [10, 89], [38, 122], [10, 59], [29, 77], [8, 59], [113, 163], [71, 125], [5, 71], [51, 131]]; loss = 0.012867 low_pass_filter = 0.300
+Epoch 0: | | 34219/? [5:58:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 34220; scene = ['81c7dc4d940db5f7', '3042b85c278f3af5', '40ae6a25353e43f0', '3af749f2153f1107', 'b0bd5aafae9d4ed1', '1e56c6d50221c84b', 'a9936b77895f33b3', '92bc1a5a284f9e88', '06a16655c8e8ad9c', '6cbbe9075b0d2138', '186b6487fea252ab', 'c5a85f680c4f9c9c', 'fb7776636c2a50b5', '41dd55f0272aba33', 'a102f80bd807b881', 'c7e626a8c3d071e2']; context = [[14, 68], [63, 142], [144, 221], [112, 200], [21, 101], [26, 105], [0, 47], [86, 140], [50, 100], [43, 108], [12, 98], [27, 99], [7, 83], [2, 74], [13, 75], [36, 126]]; loss = 0.013325 low_pass_filter = 0.300
+Epoch 0: | | 34229/? [5:59:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 34230; scene = ['8e918671173842e9', '4b34e4a22e4a08ab', 'c174fb69aa81e519', '903efe5f8a8e932b', 'e509e98f232c4833', '51996d52eea809c9', 'd4c4178391fa64a8', '706210d8cd04e8f5', '1268b7774e3d93e5', '9b71031c032f03a7', '559322faba1bc893', '222acb29d1b3c2aa', '6149aade1b7de1c8', '00a87dd567cdc292', 'db9435d8cfadb24e', '977eb4604758bcd7']; context = [[25, 85], [7, 92], [176, 249], [17, 95], [5, 65], [9, 94], [70, 151], [15, 99], [96, 159], [134, 200], [38, 100], [16, 61], [25, 76], [46, 103], [2, 64], [28, 99]]; loss = 0.011279 low_pass_filter = 0.300
+Epoch 0: | | 34239/? [5:59:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 34240; scene = ['afe60df4177475af', 'e204d13ff4cb3a75', '5d827aedb6743c14', '8b303d2bdf4ff564', 'f39a34c3d2120f0c', '16ae723b5ea83d17', 'a9a0874cc5a2987f', 'd3565c00df307d7e', 'd9559f8d3a65cca7', '229616382aa1821d', '7a934e195eae5efe', '839fd6fec6c64078', '8c64d85ded4c1376', '9a138b4264e60031', '86932aca52110c41', 'c6b766c56936232a']; context = [[63, 143], [110, 184], [3, 54], [3, 88], [87, 153], [3, 90], [61, 107], [3, 78], [77, 123], [20, 78], [89, 168], [26, 101], [6, 59], [9, 77], [45, 105], [1, 52]]; loss = 0.016418 low_pass_filter = 0.300
+Epoch 0: | | 34249/? [5:59:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 34250; scene = ['d24dd458d5427d7d', '47a6a231c819c5a2', '557bfbc51cc423df', 'e027873a0401fffc', '0dab28a141f4539b', '149658fe965b3e8e', '466a81cd2b82849a', 'e2e41f7ed5d26706', '0be49b4ad5e9d5ea', '5c8fa4f3d00008cb', '670a2e253fdf1cbd', 'fca7b4218ed25ad6', '68c8385b0117500e', '4f606046818f83c3', 'c347e54acd9d486d', 'f4b4902cb495430f']; context = [[11, 92], [149, 208], [69, 137], [12, 57], [49, 97], [2, 58], [99, 155], [57, 107], [53, 106], [40, 106], [4, 73], [8, 86], [30, 103], [10, 90], [28, 115], [40, 86]]; loss = 0.012815 low_pass_filter = 0.300
+Epoch 0: | | 34259/? [5:59:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 34260; scene = ['549d70078346dcee', 'e8531289753d2513', '3cac75e60965dc6e', '8a10341cc1cc0210', '9f92d7e79d4a35bb', '9183740bb8b7200c', '85011721006086c5', '9b5a0140c194ead4', 'c67d163bb0a1e8dc', 'c1a6ef665d46399b', 'a600bc71cd595f32', '637bdb45beb6fb5a', '820f797585813215', '318adcd55b71389b', '9044f156e5b0eff2', 'cc079b0ac012e015']; context = [[2, 50], [45, 133], [19, 80], [6, 68], [40, 86], [45, 104], [47, 134], [97, 147], [114, 170], [118, 164], [91, 136], [13, 102], [21, 77], [147, 216], [18, 87], [28, 110]]; loss = 0.012301 low_pass_filter = 0.300
+Epoch 0: | | 34269/? [5:59:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 34270; scene = ['0c7171edef36d44d', 'ebde595b532cf60c', '204c24d2d8cc0ef9', '34461872e645d034', '8ec27dc882d87cab', '938865f6756c2301', 'ed074cd40dc33596', '4c13c320c47ef017', '10624fc8f33d3a0a', '38c2f919e61f375e', '1c124b91c6ee92a5', '100c4c3fa1794647', 'dfe78eb63cd652e9', 'e2128a609ff89c4b', '4ca6ed1cf7349efd', '880427ff150f7b4d']; context = [[48, 117], [110, 157], [44, 89], [33, 98], [16, 101], [24, 108], [4, 69], [17, 67], [79, 128], [0, 74], [6, 52], [82, 131], [184, 255], [3, 73], [154, 220], [22, 75]]; loss = 0.015414 low_pass_filter = 0.300
+Epoch 0: | | 34279/? [5:59:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 34280; scene = ['8dde2bd19ae06ffc', '303662552f9c88c5', '2e1d57bf531fd792', '7e93497627b7a865', '94b7980ddb10b79f', 'b889f9c070b7857b', '8366b5a2d50ecf2c', '3cb9d9c936c652d9', '4abb7e1bbb2de77e', '0ef7876ae2f8698c', 'ae5b049c5c79102c', 'eb98e580ba1ddeb6', 'bec2f69532514b40', 'af1d4ce35bfabca7', '9a897c3f2fc1835e', '7840587b79766a50']; context = [[77, 139], [8, 72], [0, 65], [26, 74], [57, 107], [27, 96], [2, 90], [0, 47], [87, 159], [18, 86], [34, 90], [34, 93], [33, 114], [31, 85], [1, 73], [107, 160]]; loss = 0.014097 low_pass_filter = 0.300
+Epoch 0: | | 34289/? [5:59:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 34290; scene = ['5d128926c1792da9', '9bdb078481fe6346', 'c15c9a0f2ad3e52d', 'f51001d4c9b1b026', 'e97df4a241db1eae', '7d38d8fbf560e9cd', '4a4c7ec072d5e873', '98fb604e2b221457', '359f5288f9335f3c', '9a45995c95b9df54', '3e07007116856015', 'b4552394fff24c7b', '9e59ae705591e046', '55220b468b64ea7d', 'a64bc1a231c44593', '33a7ac7a336c62ac']; context = [[122, 208], [29, 82], [32, 112], [1, 47], [34, 124], [1, 83], [9, 80], [0, 51], [20, 95], [181, 227], [83, 173], [9, 62], [209, 273], [17, 79], [34, 123], [1, 79]]; loss = 0.016380 low_pass_filter = 0.300
+Epoch 0: | | 34299/? [5:59:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 34300; scene = ['3cef7244ef6f7a17', '2fcc906ae5455d35', '65e77aed6557394c', 'f370e2b606fbfca9', 'fd410984d8a18b8e', '65a46d20af8eb33d', '56bef3bda335b7fe', '3da81d175b38988f', 'ca85fd3a928e9b3b', 'a7d126743702556f', '17a95da0447e96a1', '3d7564005d3deb83', '1c3d7dde3614506d', 'a6740c97ce04f5bc', '7a1fc9f2f6a4db3b', 'fcdd1a23d071965a']; context = [[14, 100], [15, 94], [173, 228], [51, 136], [0, 55], [0, 67], [33, 111], [14, 92], [10, 86], [2, 59], [10, 81], [12, 57], [5, 50], [1, 47], [164, 219], [3, 66]]; loss = 0.014266 low_pass_filter = 0.300
+Epoch 0: | | 34309/? [5:59:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 34310; scene = ['39dc11e7396fa5f4', 'c8c4ca4eca6a4493', '0f7964b5630134fe', 'd252bee31ece5667', '3576553305e59d4c', '2a79a8bd4edfdbeb', '714d84e0be7d7dfb', '5e66f54d9b99573b', '9733a5e8b87112f8', '5bef2ef0dcfab16b', '7e590944b3d09a44', '858e46647610ba9a', 'f8490421029f85c1', '1b4dfb04c00df170', 'c1c0bf21704f2537', 'f6be586b3b35382f']; context = [[33, 106], [7, 94], [7, 81], [12, 67], [52, 103], [5, 52], [85, 169], [104, 163], [55, 101], [108, 189], [19, 95], [166, 223], [27, 104], [3, 84], [11, 61], [26, 87]]; loss = 0.012472 low_pass_filter = 0.300
+Epoch 0: | | 34319/? [5:59:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 34320; scene = ['20d6ec0f2bc94541', '26c6bb0e2234698b', '441344c9b1093515', '0c61bf4c72eee218', '8060b04ab454bb81', '5d9526b17d8736a3', 'f107b68f4a5f2f10', '1d3d9af5e8de4a67', '339350221e336f10', 'fcc4e26b563a8d96', '326e42e7776c50bf', 'ab835dbe3d68c7b3', '41eee0d73b5ea2be', 'd91d403fb54cd658', 'b1db6db47eb6c3de', '042c8ee300f52641']; context = [[4, 53], [172, 242], [12, 71], [5, 54], [177, 229], [47, 129], [103, 193], [33, 91], [9, 81], [58, 128], [3, 49], [32, 104], [193, 262], [119, 168], [7, 71], [11, 100]]; loss = 0.012395 low_pass_filter = 0.300
+Epoch 0: | | 34329/? [6:00:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 34330; scene = ['97053f57bce108bc', '668afe07ab9d386f', 'b84e70051e339fb2', 'cd6aa564df030a20', '70a95e1aac4b5e9c', '7493053829f8d51c', '8272b2e649ed65a5', 'cb03afd106320b00', 'cf161b905085aaea', '69f1ed79ce28a32a', '1ab95b70ec904d06', 'ed2988e72b69786f', '00f08e59fbb6ec33', '35ed7f8bb069a870', 'ab66548e2bc165fd', 'e7f549ceccf3bed6']; context = [[4, 60], [137, 212], [19, 67], [11, 69], [5, 90], [150, 221], [5, 69], [1, 61], [3, 67], [3, 75], [27, 87], [14, 59], [68, 145], [0, 45], [126, 213], [0, 62]]; loss = 0.010576 low_pass_filter = 0.300
+Epoch 0: | | 34339/? [6:00:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 34340; scene = ['2c78821e19bd4ab6', '390fce4d1f115207', '071373b20ca8de21', 'b766fb72e5b5daea', 'ea35751c4ee60f5c', 'f17aee9a1b017d4f', '9ba631ec8a1568d2', 'ca88e751361b34fa', '26a1ed10d188800a', '4d433c9ba3cb7c33', '097049e07065fe6d', '78162a0cd3f50a08', '0e0a0ac08ac3e1e0', '7227ea629f2cc6c9', '324638d0f0947345', '0535a1c8f3ff090a']; context = [[10, 89], [34, 88], [184, 249], [18, 81], [15, 79], [102, 151], [118, 207], [3, 51], [5, 86], [6, 71], [22, 84], [6, 57], [41, 103], [45, 103], [34, 98], [6, 88]]; loss = 0.014706 low_pass_filter = 0.300
+Epoch 0: | | 34349/? [6:00:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 34350; scene = ['acbaf3928100486d', '6d4e40bc2b18c6fe', '9d1ee413421f219b', 'caec62a47b974e4c', '6447ab4ccf80feae', 'cff7c5b3868704cd', 'e640fb1aab7928a5', '9d763d2754c2a6a0', '6847ec57bb326a47', '9d1e29a2a121db05', '82b5bc359a8354c0', 'a68f18856bc55ecc', '214a03d653fa74ef', '298c3bccb02eb533', 'defb760749fe090a', 'bad8106cf944eef6']; context = [[3, 48], [3, 57], [6, 71], [1, 62], [50, 125], [170, 258], [42, 130], [35, 103], [57, 147], [182, 247], [38, 112], [23, 76], [124, 179], [41, 113], [12, 65], [191, 243]]; loss = 0.011733 low_pass_filter = 0.300
+Epoch 0: | | 34359/? [6:00:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 34360; scene = ['62a79f4f4b0683d2', '3774a128fdeb369c', '15297e87f90ef80b', 'a6190e510a7815d4', 'df3ab587bd731a9a', 'f7f53a9d54d4098f', '28edd0fc4cc7a93e', '841ee91a0c838e80', 'c6b4ee182a0c8f70', 'c792e7bbaa1e7edd', '155507e6c573ea0f', '08b7f061e79af09a', '6d55c2c63ca27b57', 'bbf6e68d193c39cd', 'f873485ea901f0aa', '1c574a0a214c7b60']; context = [[22, 80], [21, 72], [17, 100], [101, 157], [19, 109], [14, 68], [6, 89], [75, 165], [31, 108], [152, 215], [63, 113], [6, 83], [26, 74], [18, 99], [18, 96], [13, 83]]; loss = 0.014533 low_pass_filter = 0.300
+Epoch 0: | | 34369/? [6:00:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 34370; scene = ['f3d21d375f937dce', '763fbba111a520fc', '0f928aa808268e96', '7c1c07c77d39e0f9', '8b60b394df2a9220', '77659febf946d8c0', 'de02237229575e23', '64a094bdca3a99b5', 'd49b4fa7b43fc10c', '2f1f43ea5b2766f4', 'dc388353f79426fd', '6fcf5dee2bf0c397', '4f71b7b1fe7b4622', '504ffec6f265ce09', '9ebdb5f802c3444f', '04d9e5ab7cd01669']; context = [[1, 58], [0, 50], [16, 79], [1, 47], [2, 90], [45, 96], [37, 126], [61, 151], [20, 79], [0, 78], [120, 193], [47, 121], [15, 91], [29, 89], [133, 195], [17, 102]]; loss = 0.014108 low_pass_filter = 0.300
+Epoch 0: | | 34379/? [6:00:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 34380; scene = ['b9721059b3e7244d', 'f80c7ae3e8c135d0', '9585609b1fe86052', 'ef3af4ede59e3423', '212d150054874c3e', 'a851d4797973dd8b', 'f053d50764ded3de', 'ce265bd6aca906a0', 'b4869cc97b14612c', '5cd649d23647e9a8', 'feb014e43dd4f086', '592ade6974acfdb8', 'a8e9ca9fab2a02e5', '9e16e2db38feb337', '2e441fa2f9846685', 'ec886701c15545df']; context = [[33, 118], [29, 101], [29, 87], [3, 81], [75, 124], [118, 194], [24, 102], [44, 101], [109, 168], [46, 126], [52, 100], [17, 67], [15, 77], [58, 107], [98, 149], [57, 117]]; loss = 0.014480 low_pass_filter = 0.300
+Epoch 0: | | 34389/? [6:00:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 34390; scene = ['c84e9003ffb43435', '03a4047c49065b31', '9dff0d02d1d9384b', 'd811b8f5953a9b62', '4d03b4a228109602', 'c78363372eaa6b51', '91b548615aa3a6ea', '56ffb64f1ac704c8', 'fbfbcba06045cc1e', 'edb02105a535094e', '39bfa783bf8eb056', '4e70f8c8d569f01b', '53b2d43b7f2a6077', 'd2025fb25b1b8d42', '527eac78ac3e3012', 'de60b52ac3e7875c']; context = [[69, 125], [10, 78], [36, 85], [3, 48], [2, 84], [32, 98], [35, 82], [16, 78], [82, 134], [0, 53], [31, 85], [104, 159], [25, 70], [0, 55], [44, 92], [20, 96]]; loss = 0.011881 low_pass_filter = 0.300
+Epoch 0: | | 34399/? [6:00:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 34400; scene = ['0e0a1842df57a36a', '3fc39a3761cc5ed0', '16f5eeaca780fc30', '21cdb3a2a0cc2afc', 'c35c2e2d9c219eac', 'f62b7235cee5c940', 'b2310b9c0e90ad05', '4360ac16047eba4b', '172bf6877630ca5c', '5281a8fb06713250', '15d0496b4ef33361', '031b56a2e1e4bbbd', '645a09d7d7670e8d', '4bacf868d6095406', 'b5260341870c7aa0', '4055b055606e283b']; context = [[8, 55], [70, 125], [48, 95], [0, 58], [26, 109], [3, 60], [18, 78], [21, 86], [4, 50], [2, 76], [29, 105], [12, 60], [41, 121], [109, 167], [124, 200], [6, 69]]; loss = 0.011713 low_pass_filter = 0.300
+Epoch 0: | | 34409/? [6:00:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 34410; scene = ['3ad2b21c6b95cf65', 'cb4c447383117f5e', '56bd4874c06174c5', 'cd696e13e034c7c8', '1d5b76210eb6b738', '506de1a035771898', 'a4323e10c897f91d', '1e66c5cad1710c51', '7bf90922fbe3c310', '8959076058f23631', '325cd1faf63998de', '7fe7d3d7f1aee59a', '62770663d7a4db52', '59ee5892dcb06a97', 'c4fc7db048856762', '749c99e83a6f9e9f']; context = [[0, 47], [10, 73], [152, 209], [12, 84], [39, 112], [7, 87], [177, 258], [6, 51], [22, 71], [47, 116], [91, 154], [182, 244], [44, 120], [53, 127], [6, 60], [1, 71]]; loss = 0.015680 low_pass_filter = 0.300
+Epoch 0: | | 34419/? [6:01:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 34420; scene = ['f1e7b7bad2598536', 'bd5de4c24d27729a', 'b6c3a53e03353aba', '8110578b15c47f1f', '46e26d9e4f7a217a', 'c75420132c9168b5', '40d84d0f8ab92e70', 'a840fa3c3c49ab15', 'd0a74bb17c56c058', '5ec066485ed9eb74', '84c2bb09ce1fb3e6', '3b8769e2eaa2a6ed', '2e111256e7da734d', 'dbc435f8266c0eb2', '7942468c0da54a11', 'e891a88b9cc99871']; context = [[8, 69], [10, 57], [28, 88], [4, 63], [35, 111], [5, 90], [7, 58], [3, 66], [2, 54], [5, 60], [88, 174], [3, 77], [5, 86], [85, 155], [83, 140], [0, 45]]; loss = 0.014295 low_pass_filter = 0.300
+Epoch 0: | | 34429/? [6:01:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 34430; scene = ['b01cc99c3f15ace5', '9c5db6994c974162', 'aad1aaea075eb717', 'dc0a4c6bbe93b0d7', '146eb92a5a651333', '890d0ceb50454ee0', 'bc877ec05ab68609', 'e5b31afaee88be2c', '46668f1f54ad6102', 'ea7114098f5d77f4', 'ee0d5c09f39c05ab', 'ba1e4de5c9e38f86', '838b5149ad3eeb17', '733480741047ec53', '279c176b2a4091b8', 'aee321e88081eb14']; context = [[198, 259], [93, 164], [4, 88], [3, 62], [15, 74], [75, 123], [5, 70], [1, 85], [62, 114], [49, 105], [10, 81], [151, 206], [5, 65], [0, 58], [58, 137], [44, 97]]; loss = 0.014400 low_pass_filter = 0.300
+Epoch 0: | | 34439/? [6:01:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 34440; scene = ['61b60c1a300d909c', 'ffe2fb4a8427467b', 'e3671828d14a9106', '3d3c86d6e062354a', 'dfe8c32f21d4e1ab', 'b0b927381cfb029b', '1176e233bfb25a61', '78a40a9f15582918', 'a2439397e99e31d0', 'a584b27aef5970ad', '6fd47cc99f6a0f43', '06917002d8f6373e', '45ef1511dc1ec7ed', '0a7e70d3efcffdf4', '4ff444f2ea3edd2b', '4280d4551eb222e3']; context = [[2, 56], [101, 182], [7, 85], [4, 71], [68, 140], [72, 118], [15, 94], [9, 77], [24, 83], [16, 72], [41, 112], [73, 160], [3, 53], [126, 212], [0, 45], [51, 120]]; loss = 0.013533 low_pass_filter = 0.300
+Epoch 0: | | 34449/? [6:01:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 34450; scene = ['9ce0bc93c1d4c9a2', '2f9f1351eff29845', '3e6087e41c84488e', 'b7cb71720f2c8402', 'e337c8bd7871665e', 'fee2852411318e54', 'e63caff82406317d', '0fca31f2dbbd79b5', 'f585524ad6786b54', '305999e29713a998', 'bb871f57112086a2', '8722a564706e204b', 'e60d3c2cbe8722dd', 'd98e4f128e4fcce0', '71911b4af12b9a16', '08f55e581d3ff038']; context = [[27, 97], [0, 48], [51, 118], [47, 94], [0, 50], [4, 51], [5, 70], [11, 75], [0, 52], [47, 114], [99, 175], [32, 122], [9, 75], [100, 157], [5, 84], [153, 204]]; loss = 0.016506 low_pass_filter = 0.300
+Epoch 0: | | 34459/? [6:01:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 34460; scene = ['569226c1db0cc28a', '1a56e90c175dfdfe', '27f95438492b1f5d', 'b6f35460c7ab5e4f', '1b200ddb0e8760fd', 'd2df2ab53964add5', '5d3adfd63b17163f', '16ad60739d062c0d', '9a32a8daa43d59dc', 'ce8ce7205c395b97', 'aa9501b0fe74e3e2', '03ea09bf65357e60', '3d9d33cc3bedad51', '1db541021f08c569', 'ae6a7d632401e500', '7c0e6e0e35ceb0ee']; context = [[5, 67], [10, 90], [0, 59], [30, 83], [173, 238], [0, 61], [33, 78], [85, 165], [34, 110], [49, 118], [54, 121], [32, 108], [14, 95], [11, 65], [0, 57], [8, 53]]; loss = 0.021471 low_pass_filter = 0.300
+Epoch 0: | | 34469/? [6:01:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 34470; scene = ['b077b634286dbbe9', 'ba67f70b5b0ec072', '819b6af73885034e', '482b604002f1a227', '53a8bb87641bd35b', '829dee1b037f367e', '3f62f46c54c21cf2', '42a3daae34acb6d0', 'b8e76ea0476fe482', '84bf41ca4a80090c', '4a9396facfcfdfe4', 'd4f1e8b6c1597afd', 'c7cf9b63dc3e5830', 'ff4a1fdcceb11eac', 'eebc10a8972de7ee', 'a071d9276f6a9272']; context = [[7, 73], [191, 261], [22, 94], [38, 104], [79, 148], [14, 83], [1, 74], [13, 75], [0, 62], [1, 48], [9, 75], [119, 180], [0, 81], [4, 69], [65, 115], [11, 87]]; loss = 0.015233 low_pass_filter = 0.300
+Epoch 0: | | 34479/? [6:01:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 34480; scene = ['4358da4c0ee3c011', '3c96b594dee5a035', '41f0974fd32ee0f6', '34c07d79a9633748', '272cc6bef39a7a8b', '65c849d84d894291', '21ff785f89ad87cf', 'cdb3acdaba0ba837', '1e070505986c54a5', 'be3f01ddef87bd4f', '6bfb1c61eb2da4dc', 'ba8513b8614bf99a', '5be69b4c1416f7b4', 'ae1755f58300ea88', '1873d83890130cc5', 'ed2fc72e2b70e6fe']; context = [[0, 50], [22, 81], [38, 91], [5, 78], [43, 120], [4, 85], [66, 145], [14, 75], [21, 84], [157, 213], [60, 109], [19, 64], [0, 49], [28, 103], [1, 86], [9, 96]]; loss = 0.016401 low_pass_filter = 0.300
+Epoch 0: | | 34489/? [6:01:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 34490; scene = ['b14dc2418422d6f1', '6c3c828eddbaccb1', 'ed45976a35ed3fc0', '79e7a7de2af87919', '58d334d3f3518b39', 'ef67dc096bd74aea', '6799dafe522e51d4', 'afaf4cb0fe0d8bff', 'd0f713088a1dbe7c', '4bd3f7b081be9424', '7518b4660275a25a', 'b521e48458876a0c', 'abfb743f58304c93', 'adaeedc8b4e18bcd', '1cfd6abc90a49445', '3c8cc7b6f503fdb3']; context = [[89, 146], [23, 81], [1, 69], [4, 58], [5, 86], [4, 91], [32, 82], [9, 62], [17, 72], [79, 155], [4, 57], [3, 55], [23, 91], [58, 144], [12, 89], [7, 57]]; loss = 0.012777 low_pass_filter = 0.300
+Epoch 0: | | 34499/? [6:01:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 34500; scene = ['62a63f9fc84b859e', '4e0a83430cbe5daf', '88ee0081c73b2c00', '7d5033ecd2b2d52b', '52bf8f0eaf400271', 'c9a41c071845a38a', '061e2dfaf96677fb', '54dd2fecd7c5469f', '3650acf4e144d660', '86c8c9b0a6200b4a', '6bbc8e2718708902', '75d7982a76052a50', 'e66e9d07a140e364', '5c6eb6a2caa8b53c', '7d70798a0178383e', '501a6f4480ce533e']; context = [[39, 119], [49, 136], [86, 154], [216, 262], [0, 45], [131, 211], [9, 96], [2, 59], [58, 131], [36, 90], [17, 63], [16, 83], [1, 48], [0, 61], [8, 82], [6, 94]]; loss = 0.016564 low_pass_filter = 0.300
+Epoch 0: | | 34509/? [6:01:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 34510; scene = ['4001283461bac478', 'e12e86bffa90859c', 'e3797cbddc034b4c', 'cd2e6f4d92d5d529', 'cca813837c9cedbb', '98c650ab62b10ad3', '8e17c09403c84d32', '4f409379a094208a', '3c19db831366efbe', '8a9a72e312f128f1', 'aca85527a5a07df9', 'ab5f18e74f1ddb8c', '57db819c1a84d2d2', '100c4b1ba5f0f5a2', '3674316ecddeadfb', '90e977ece4eb6ea1']; context = [[148, 195], [14, 80], [36, 84], [18, 94], [60, 113], [77, 139], [0, 52], [177, 226], [0, 45], [3, 76], [1, 48], [0, 69], [212, 273], [108, 165], [6, 59], [103, 153]]; loss = 0.013487 low_pass_filter = 0.300
+Epoch 0: | | 34519/? [6:02:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 34520; scene = ['f7eb7dd4073a1301', 'b8d3bc1a15392e95', '5036b3d4006fc38e', '715e8695976cdb61', '7fd87451d9940559', 'f994255b6cad5bd6', '54cb6f177d8fff65', '2b89a5ffcb498fac', 'bbbd69e2e2beea48', '1bf22ffc981d8d25', '90775843376e18f7', 'ad1ab6f6fa4bc6ad', '676d8f7647d00d86', '987d3ceb9a099183', '9f321b3d590f82c5', '5cd347f1514b5e17']; context = [[108, 175], [17, 87], [17, 86], [13, 66], [6, 68], [5, 64], [3, 63], [5, 69], [0, 82], [54, 141], [14, 96], [24, 73], [44, 115], [59, 149], [124, 175], [8, 84]]; loss = 0.014536 low_pass_filter = 0.300
+Epoch 0: | | 34529/? [6:02:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 34530; scene = ['114d80bc715a44cd', '318ef3fc4a78eb62', 'e1176be7786367b4', 'd738990227f432f6', 'd7fbb77bd2e9ad67', 'b7264c9330e22b41', '0a91ba693acb65d5', '543822331e271917', 'd1c3b86e61e4b745', 'cb3dc5a6d4e40430', '0f249091b268d203', '15592e57716c6463', 'e387c66e18137d25', '89c3dc5c2b6ca1ab', 'ede486da04ebdc56', '1b0e42c4f8fbb88d']; context = [[135, 190], [119, 188], [25, 105], [7, 65], [2, 71], [27, 73], [18, 100], [12, 58], [8, 92], [34, 88], [24, 70], [2, 52], [4, 52], [11, 95], [47, 102], [14, 68]]; loss = 0.011566 low_pass_filter = 0.300
+Epoch 0: | | 34539/? [6:02:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 34540; scene = ['9c622becd524e35c', '5d2bd34da19e9471', '63331dbbbfe80f5f', 'd61b2ffb090ab82e', 'e701cbe6c42dc34f', '2d6daea339faff88', '352b202e22235f10', '738543a84b2b0667', '44a584948320b074', '68d25ae85d2f5cae', '42e4f2d3c3e0772f', 'ac85da0c05c229e4', '2511f4234bb649b0', '20e704cf9128841e', 'ec9c761f8603d26e', 'fd20e96d59c53813']; context = [[17, 83], [57, 137], [159, 238], [143, 210], [6, 61], [22, 100], [3, 92], [1, 68], [13, 75], [22, 91], [189, 268], [29, 86], [42, 101], [8, 68], [70, 116], [4, 70]]; loss = 0.012624 low_pass_filter = 0.300
+Epoch 0: | | 34549/? [6:02:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 34550; scene = ['9bae213a2e0667da', '29afe36e4ba597f5', '02ae101d68a2304b', 'bc29873beb100836', 'c0de137715b6bcb4', '9d4bb6a040f3e82f', '33bf51a57dd21baf', '97d48083a9c554ef', 'efd001b0d5127d61', '547cc94768c46e62', '8cfd52fbbac85c10', '5cd1e4ec30cd1bf9', '0fec4e9f1cb081ef', '2e2514bb46f6c104', '5a6823ae4e594da6', '5fe1301a8bc87948']; context = [[3, 78], [4, 52], [27, 114], [62, 121], [93, 164], [25, 83], [6, 71], [2, 64], [132, 207], [1, 60], [153, 227], [194, 269], [0, 59], [1, 48], [138, 208], [37, 108]]; loss = 0.014730 low_pass_filter = 0.300
+Epoch 0: | | 34559/? [6:02:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 34560; scene = ['b35fc876ab421657', '870061830cde2de8', '66c9da321fec37e3', '1235f358f02dac9b', '4559590a2c0b1df9', '740305794ecb7fab', 'd33ef7d9fb847cba', '6211cc59826a08c6', '1b4565727fb57d9c', 'b67ce20f3f4adec3', 'fac41d1437899793', 'a7f56f92c31d68d6', '982713565101573e', 'e393741cba862586', 'b65fba5c9d43d86d', '239adc7ff39146a6']; context = [[38, 94], [73, 155], [90, 152], [145, 235], [17, 99], [3, 75], [18, 95], [62, 149], [7, 68], [30, 97], [24, 89], [45, 92], [33, 123], [39, 91], [4, 76], [19, 89]]; loss = 0.015496 low_pass_filter = 0.300
+Epoch 0: | | 34569/? [6:02:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 34570; scene = ['dcef68ac5961369c', '9bf893735e9b1ab8', '4e42a798152f2381', '85cd5c3b6ecf03fc', '209a86f54836420b', 'de61efbee4c2b1cd', '2e0974f13b85cce8', '738543a84b2b0667', '68d25ae85d2f5cae', 'd61b2ffb090ab82e', '2d6daea339faff88', 'ac85da0c05c229e4', '42e4f2d3c3e0772f', '5d2bd34da19e9471', '352b202e22235f10', '44a584948320b074']; context = [[1, 55], [16, 100], [10, 89], [14, 62], [6, 93], [184, 255], [59, 138], [18, 86], [14, 82], [25, 95], [18, 72], [5, 94], [53, 125], [0, 79], [61, 117], [0, 59]]; loss = 0.013362 low_pass_filter = 0.300
+Epoch 0: | | 34579/? [6:02:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 34580; scene = ['d677f3e6092f2fb5', '7002050eaf600751', '19c1be98c8cc8c2f', '3db359985be722e1', '7ff88bf82048bfdf', 'e862c113880c0181', 'f7ef5bb99bf643a1', '749f35821374f0dc', '9cb7e3454afb2e2e', '2f6e8ec2b14bf552', '1c4b3333173c4c08', '5d296026f13a69f7', 'e72f15ce7766ca25', '49f6c049c206ddd5', '68bec0ed2e14240a', '5bb86dc9720b2b35']; context = [[0, 61], [79, 147], [19, 92], [26, 74], [1, 52], [0, 45], [17, 80], [27, 110], [29, 86], [92, 148], [5, 61], [55, 122], [8, 70], [182, 259], [1, 47], [166, 256]]; loss = 0.017564 low_pass_filter = 0.300
+Epoch 0: | | 34589/? [6:02:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 34590; scene = ['28ab3a87b2f367a5', '4491a520e2ef3b25', '32b8efd8ec5394cc', '30c73eeac2721d1e', '2403255d91f4108a', 'bba9c4e1979810b5', 'e18a4b06e5cb8d8e', '34395b11b2913023', '0d8ee00c443dfbcc', '740c1fccd9bf4e71', '8c2797e7eb81c6ad', 'a31126062d4f7523', '59ae4ac63c0a11df', '7e8c9830537de3fb', 'a6098adcc247f200', 'f85bd402fe4e1ef9']; context = [[19, 98], [11, 63], [36, 89], [2, 61], [50, 131], [2, 49], [40, 119], [35, 102], [69, 132], [64, 112], [7, 95], [163, 219], [2, 59], [68, 122], [76, 166], [1, 48]]; loss = 0.014198 low_pass_filter = 0.300
+Epoch 0: | | 34599/? [6:02:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 34600; scene = ['5ce2bba6439e8b09', '7f0ebf80ed1fc156', '272f6e764e09c05f', '77cf345e3fadab72', 'a548a64351982b0e', '55745f183232ea38', '8a7af2478ec05777', '08762e5e9f8755b8', '87975b8c008e3881', '36e7fe54179381c7', '457556b04e7cd668', '8eced2dc34158d45', '4d11271b1bb07072', '5e5c541729749eec', '4937247fb2749a01', 'ecd0fa4f3bb29b99']; context = [[38, 127], [134, 203], [153, 235], [2, 53], [105, 162], [58, 130], [48, 97], [41, 131], [0, 56], [24, 97], [12, 59], [122, 168], [6, 55], [2, 67], [141, 214], [163, 229]]; loss = 0.014001 low_pass_filter = 0.300
+Epoch 0: | | 34609/? [6:03:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 34610; scene = ['53ca901b4997c856', 'b90df30817c753ea', 'b567ccc30732df29', '0e6beaff75a2e21f', '8ab1764787cac6f4', '26af5b5c8a608691', '84f93146a3c38ef1', '2d6eef8d818491ea', '1e1c3419d6dc3fbf', '31a0c9b48652eb6b', '9d648727c2f20c2d', 'fcf7edbd43225708', '354f56e1fbe2b3db', '79c3bcdfe5f242ea', 'a37fb40adf2531e8', 'fc0cbb9cab76a6e0']; context = [[19, 70], [6, 64], [55, 119], [1, 57], [0, 87], [47, 125], [0, 53], [53, 125], [143, 215], [99, 165], [10, 79], [3, 91], [10, 57], [177, 250], [33, 104], [0, 50]]; loss = 0.012611 low_pass_filter = 0.300
+Epoch 0: | | 34619/? [6:03:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 34620; scene = ['968cea950767945a', '40965c5a956f5125', 'f87486ad60f4d325', 'fa83934d7b66b475', '3830efaeaf900afd', '236ceca53fa65093', '05c29d863074fdef', 'ee90605f5f0a4d2c', '8e6b88241cc7d11c', '34cd718b5402bb56', 'd6ca8c7121be7809', 'd3b719a3855f8ba8', '96c58fa728dc5eaf', '555fc89e0cb531b3', '35c68082e9967b8f', '4c5243aa962d4277']; context = [[13, 90], [4, 55], [20, 74], [13, 102], [15, 60], [1, 89], [9, 55], [43, 127], [22, 89], [80, 168], [21, 84], [16, 91], [43, 110], [201, 266], [32, 116], [45, 97]]; loss = 0.015140 low_pass_filter = 0.300
+Epoch 0: | | 34629/? [6:03:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 34630; scene = ['e39974ca56f48929', '77542628c9955b43', 'c772fa408dae9acb', '8a063a94cfe50aa1', 'ce50e60b3d231911', 'b7cb64ed6212f961', '4370393c4130d397', '1ef1a0860a3b465e', '15790a6ab4a1f516', '414b7d55b5fde684', '7f52ee494a9f69f1', '612e4097fffdc804', 'd532d494f7050bcb', 'def54ce161678aed', '2048a9f77ad4c794', 'd116dbd5af39826c']; context = [[150, 211], [81, 145], [4, 56], [55, 104], [25, 103], [18, 94], [75, 121], [23, 71], [1, 68], [15, 78], [9, 72], [15, 101], [10, 93], [85, 155], [10, 98], [25, 92]]; loss = 0.011807 low_pass_filter = 0.300
+Epoch 0: | | 34639/? [6:03:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 34640; scene = ['c4b3a6fd92c4b759', '7eaacbc33c12c929', 'f1a22db30ad8224f', 'd7ee313c9b549e39', 'bc67341c31098cca', '2f8dc070e74f3d39', '9460fa349c6938ee', 'fd81e1b584ba9dd2', '35a9ae304403b303', 'a4721eb32195ea7f', '7995a0863f61caba', 'ed6dde4ef3037b45', 'bf563dea667a926b', '7332844fad895fdd', '67aae600f1bb228c', '5b4a74b41fa843d6']; context = [[16, 93], [168, 243], [2, 64], [12, 96], [1, 66], [0, 49], [36, 126], [77, 159], [23, 92], [24, 72], [124, 207], [35, 107], [59, 128], [37, 103], [20, 93], [11, 98]]; loss = 0.015734 low_pass_filter = 0.300
+Epoch 0: | | 34649/? [6:03:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 34650; scene = ['e8185a3649c3de14', '3b64aa64e8f04465', '3a956584819acc7f', 'a6bb57de6591fc6a', '82ac4e44bae63290', 'd6f4a941a42c6eac', '6505aa5e0c26571a', 'd3df0f83d9d67aee', 'a88722d900d57a48', 'fec1b08babd84253', '73133fcc576a07c1', '2e6acc17d9b7c623', '2840317723c97f2e', '30424882cc105c3f', 'e0cd677c6327d758', 'b9d4445e5b8179a8']; context = [[10, 69], [107, 171], [11, 89], [42, 116], [10, 56], [10, 58], [7, 73], [0, 82], [175, 237], [78, 164], [19, 93], [70, 148], [9, 84], [133, 198], [120, 210], [8, 54]]; loss = 0.013750 low_pass_filter = 0.300
+Epoch 0: | | 34659/? [6:03:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 34660; scene = ['837e0e5f18d3ba68', 'b051aa05d9cc987c', '5fa60eb00fe9c983', 'a4a176dcde73ea17', 'b8f51a38b1df3fa6', '2c6da66ca288ecf2', '0bf674188c2377e5', '464c4320ae4c4834', '24397127377dbd81', '669a73d1c2d378f3', '7e5deb9e81477190', '8e301c50431da386', '01166cb4cefb15d1', '2b03daae55bca39c', 'd2a67d5d2d55a04f', 'f9f240e5d3cc903d']; context = [[3, 85], [8, 69], [3, 50], [74, 161], [35, 105], [13, 60], [3, 81], [42, 98], [15, 100], [12, 89], [3, 50], [1, 65], [70, 155], [69, 152], [21, 85], [3, 66]]; loss = 0.015212 low_pass_filter = 0.300
+Epoch 0: | | 34669/? [6:03:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 34670; scene = ['7779f859888a1c5c', '770b09683a99b6d7', 'b526324e3d0d202a', 'aee99f3514cb8ebc', 'd6aae258dec933ae', '03eafe82192a79b0', 'c129ef95444ed6f6', '105df049b267e746', '992b1ee66e853501', 'b44fe1dc4e886732', '079ed48fda2e5b60', '11373a7531640609', 'e08993b4d6d78756', 'ce4c27e415863b8a', '6936190f2338e455', '323f5e3ce1a6262f']; context = [[20, 87], [19, 87], [70, 123], [16, 78], [17, 79], [10, 67], [196, 272], [23, 93], [34, 121], [7, 87], [14, 60], [8, 69], [43, 124], [20, 76], [3, 76], [2, 47]]; loss = 0.014242 low_pass_filter = 0.300
+Epoch 0: | | 34679/? [6:03:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 34680; scene = ['f837b3f8bb865890', '3cef9da1b69766f3', '8b561563ddd202f1', '1ff312d5bba3c3b0', '5981332b2e570137', 'b4499342b7209bc9', 'e02379524872a73e', '0474fbfb616e83f6', '4efc6dce317e44fd', '9290e70f6de8e0f7', '16903e81b5a7dbdf', 'a95619eea3202e33', '004d9274e286b4df', 'cdaf106684259401', '6c466caacbb09d8a', 'c2d5aea3235bde5a']; context = [[94, 150], [5, 92], [2, 68], [57, 106], [43, 94], [14, 77], [1, 74], [27, 77], [65, 144], [112, 177], [0, 54], [11, 69], [12, 97], [8, 75], [0, 48], [66, 125]]; loss = 0.013894 low_pass_filter = 0.300
+Epoch 0: | | 34689/? [6:03:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 34690; scene = ['bb28a1c09df8a484', 'b71a0cb9f4143a6e', '4fe4fc34f41764a4', '2b58d1bbfac7511a', '48cebddab872c439', 'cc80de7991d73ab0', 'a908c16e18bef0ff', 'd3deda68d0401c99', '0b3eb7ab398a78fb', '31b114b1b5ff0a37', '31b5f9e254a8bded', '7a92b127f35b7a6a', 'b806937791365807', 'a0f557e8837ed19d', '3bfbf93e5dad570a', 'be6ca58f1647b381']; context = [[29, 95], [44, 114], [17, 94], [0, 45], [29, 78], [1, 75], [18, 78], [30, 119], [14, 95], [3, 89], [19, 71], [2, 64], [2, 63], [7, 69], [2, 76], [56, 102]]; loss = 0.018473 low_pass_filter = 0.300
+Epoch 0: | | 34699/? [6:03:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 34700; scene = ['589c50b99b3f9f21', '3fd8ffd6f16252ce', 'e17be9060afc6084', 'c221145e989e0ebe', '66a079896a5f5de0', '1cb7aee79f67faf8', 'dc7a324e7e3e0c21', 'dda1c2d4bd25e6f1', '9127991e1bcbc9c9', 'eeaf662a58103c1c', '6376ef37d0e0c668', 'a11a28300d3f42aa', '643734c4546730e4', 'a4061f8f59c6fb6a', 'b368f4b308aa5185', 'c8cc82055a21d0cc']; context = [[23, 71], [68, 113], [90, 140], [68, 136], [7, 76], [45, 131], [199, 248], [3, 87], [22, 72], [42, 119], [29, 75], [174, 233], [27, 90], [4, 63], [2, 78], [4, 55]]; loss = 0.013491 low_pass_filter = 0.300
+Epoch 0: | | 34709/? [6:04:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 34710; scene = ['835fcebe0e9a911d', '8b6fc7cfa0e1de13', '9ce015e049e794f1', '3333768ade9bae8f', '279f2ecc43905a1a', '0faf6d493edc4914', '2c2893932017a26b', 'de0b5f163df22bac', 'e019f256c86c3ffc', '42cb1d6d9caae5d8', '505f84dee49114ed', 'e45c98837dae8246', '4a9973d7005d3fca', 'aaa5735e7eecae48', '97a5b7691a70c955', '62fb64631e202247']; context = [[10, 86], [39, 99], [66, 121], [18, 83], [16, 92], [132, 194], [194, 252], [2, 76], [166, 238], [13, 71], [51, 122], [108, 193], [1, 53], [21, 89], [9, 92], [15, 62]]; loss = 0.014041 low_pass_filter = 0.300
+Epoch 0: | | 34719/? [6:04:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 34720; scene = ['64672425f1a104d4', '238c6c917d84907f', '92b5327de2217896', '5b022ca0885cc539', 'c63225bd2e5b66f7', '104130d9aa919eed', 'df607878c3beffe9', 'f63942420154ff92', '5e5c7e1e33673b7e', 'b09331320276c019', '3ba6e1145c8b37a9', '839b542ef0c0696e', 'f62a48672f8acac7', '97568a7f147a654f', '4a3fd9a21123f197', '02a36358f7cff958']; context = [[53, 141], [54, 105], [7, 80], [5, 73], [2, 86], [3, 49], [0, 68], [89, 134], [10, 65], [0, 47], [18, 69], [10, 60], [81, 131], [37, 83], [99, 155], [49, 108]]; loss = 0.012526 low_pass_filter = 0.300
+Epoch 0: | | 34729/? [6:04:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 34730; scene = ['8445dca6555ca471', '6e9bd326e863a7aa', '0b02dfcb00bf1883', '33ed1a8648860661', '25ff552826ae9703', '7243da98de04021a', 'abca2a8b2e786913', '88cde88863b6ab2b', '48ac926ceb75979a', '9f54bd5339c8b477', '231cee207e92e4a4', 'd270d12e230b0781', '00dd81dcd507fcc6', 'e1627125e0d4301e', 'd55acb865cbef94b', '4ce1f57f4f4511e1']; context = [[26, 78], [10, 71], [154, 226], [11, 60], [67, 145], [15, 75], [1, 73], [6, 62], [4, 82], [47, 104], [3, 55], [23, 111], [26, 78], [94, 180], [5, 63], [120, 174]]; loss = 0.013461 low_pass_filter = 0.300
+Epoch 0: | | 34739/? [6:04:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 34740; scene = ['e9636b0d7cce7ab5', 'bbfd4ef6cbee9323', '08aa649837aabee7', '340d6554b5a5d446', '7e15d7ac4e6f9d15', 'a459b15b2cf89adb', 'a1fb990016d7b3af', '4373673ff80633f6', 'a7b3b1f8ad45f902', '48128a0c25ba17b3', 'eceaf2fe0853e0ef', 'ab1c5358d3bb05db', '113a7c672823203b', '9d0bfbe5b7f98545', '120391d54ad880a1', '3d4b9b728d676007']; context = [[11, 77], [67, 139], [117, 178], [5, 78], [3, 50], [102, 179], [87, 141], [35, 83], [42, 96], [0, 45], [167, 234], [14, 101], [5, 71], [5, 88], [166, 215], [2, 57]]; loss = 0.013198 low_pass_filter = 0.300
+Epoch 0: | | 34749/? [6:04:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 34750; scene = ['7c25281ed9129369', 'fdea8b88ee5b83c0', '518fd84c6e7d71e4', 'f6e952caadc38b08', 'b0f1e3bdd4f69eb8', '3cc86b7a240d9487', 'ea55d305813d95ff', '16010a67c32a20b6', '0639d31adfd1c9ea', '72e27b4165579ae4', '34b4bcac2a2e9b60', '84492f306580629c', '4c2eae92b9b0e03b', '2a79c0dfe1e91741', 'ad7eeba9fe648175', 'a5f954bc26c30a7f']; context = [[177, 222], [28, 105], [3, 64], [17, 106], [4, 87], [155, 201], [3, 48], [0, 76], [228, 273], [3, 69], [24, 99], [0, 46], [57, 102], [133, 199], [139, 211], [11, 57]]; loss = 0.014020 low_pass_filter = 0.300
+Epoch 0: | | 34759/? [6:04:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 34760; scene = ['6eea8ef7ca5cbfcb', '968b80d41cc680bf', 'e276eefeae7b461f', 'dd878c9c51e72651', '9f06aac5688af47a', 'a84e71fe1657fdc8', '51fd0c2fb24c2da0', '94e9fcb53e381f6a', 'ab4a144f4dc111b5', 'b19e18613fa9b3a0', 'ff2dc1b54c10de9a', 'a103de57e1e27b8a', '279f7ca2ddf70536', '0b3cdfa290dd21fb', '080f812368d8e1bc', 'd182f5c20bd69f66']; context = [[7, 67], [16, 105], [10, 67], [0, 88], [71, 123], [0, 48], [6, 76], [110, 169], [94, 176], [86, 145], [32, 120], [73, 125], [3, 54], [21, 78], [1, 46], [8, 59]]; loss = 0.012026 low_pass_filter = 0.300
+Epoch 0: | | 34769/? [6:04:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 34770; scene = ['d850754e786fd50a', '9ed19d5506da8047', '3e35d64c3de4d110', '9d22bccbfe1510df', '481bc28cf74dc03a', '7629b9492036f956', '902098b9bb42414b', 'ec680845c6a7295c', '54c8e9c778b2fad8', '6aee2575a2c97d19', '3f62df9974f73102', 'b7c32200b00161bb', 'b32de1c311763e38', '30ef5f553648df47', '26b8c9221b370a6a', '1de9cd4f82ee4ea3']; context = [[11, 90], [8, 86], [2, 83], [30, 103], [39, 94], [17, 73], [7, 70], [84, 131], [33, 113], [94, 145], [87, 156], [184, 246], [33, 82], [7, 92], [101, 178], [24, 81]]; loss = 0.012369 low_pass_filter = 0.300
+Epoch 0: | | 34779/? [6:04:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 34780; scene = ['db062134f9dec5f1', 'c37054cf8ffe745a', '656546e561aec370', 'a025eda8d656783b', 'da127d5d82256afd', '6713a81ed431d91d', 'd34fb0e92018e2a2', 'ee68497fe72a28bd', '3097fbf4e8e1cf6b', '25d01adc0dba1ce1', '3a362a67b9e12376', '21dc12bbbe7810d8', '1c7f730db5d85172', '926981007a66053d', '35defcd6d8369e3a', '114849750993031d']; context = [[7, 94], [189, 240], [21, 68], [29, 116], [5, 84], [66, 153], [2, 51], [118, 177], [58, 126], [3, 54], [13, 80], [15, 80], [16, 70], [73, 121], [30, 104], [10, 63]]; loss = 0.014244 low_pass_filter = 0.300
+Epoch 0: | | 34789/? [6:04:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 34790; scene = ['75683a7321d37b6a', '5f64d96ba85989e5', '76780f3faa6948a6', '03ede33559dd7c37', 'fdaef267e08ef3aa', '9931b92949a74875', 'c6d2893eaa53957e', '89f107ba4891dfa8', '62d6461a71e298c0', 'c5faa3aabee36f71', '67f3950d79626e4f', '47ac3ca0d635f78d', '58860911781d94f6', '734b4d41bd350875', '3378631b363f8814', '7a7904319dfba47f']; context = [[0, 45], [2, 81], [2, 55], [39, 89], [116, 174], [79, 167], [37, 127], [40, 110], [0, 45], [124, 200], [5, 77], [4, 53], [13, 64], [30, 92], [1, 49], [5, 93]]; loss = 0.013570 low_pass_filter = 0.300
+Epoch 0: | | 34799/? [6:04:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 34800; scene = ['c315feff5caaf789', '117c40ed2a9e43f3', '01acd2ba8e3e6f7c', '605bae1f22177e7a', '1505eac55db08881', 'e42f283d6f967249', 'd4592196f3d5e77a', '0ff43f7eefe141b0', '42d33d1990dc2827', '4089488b3adb6226', '8cecbd50645dcffd', 'd458f48f3cd5ae1b', '3a6c31f22c6d901f', '639a0ec83f9265e8', '0eaf6e29821866d1', '38dc2a81c81dd0b4']; context = [[30, 107], [7, 63], [220, 272], [18, 65], [3, 76], [25, 105], [64, 151], [13, 58], [9, 70], [117, 169], [10, 84], [21, 80], [2, 55], [173, 252], [11, 69], [0, 45]]; loss = 0.014179 low_pass_filter = 0.300
+Epoch 0: | | 34809/? [6:05:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.80, train/active_min_children_step=1.0train step 34810; scene = ['d6443c4840318df3', '4411a6eb5a900e40', 'e88c0f58059c2de1', '03318c7aaa8c78ed', '6918fe55c041fda0', '2ea6acc7bbabe341', '874eb6a356e8b92c', 'c6a144ebf5a6145c', '09718af003683468', '4d92ab13df7d131b', '14cdc4b3f38acf3f', 'd12825d81e12ccc8', 'f363288bb396d983', '667ffb62ae2ac178', '8e8c845df76e43dd', '4aefc4abf5184050']; context = [[6, 58], [2, 83], [58, 119], [10, 97], [114, 187], [50, 99], [88, 143], [13, 91], [33, 83], [18, 64], [0, 78], [51, 112], [23, 104], [8, 59], [19, 76], [1, 68]]; loss = 0.017658 low_pass_filter = 0.300
+Epoch 0: | | 34819/? [6:05:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 34820; scene = ['f2a40abf0e21787d', '0f34ce3de82dd553', '38a709b9a18034bf', 'dbd17f73c27256d0', 'fa957196fd3f3d44', 'aad2f8506adbabbd', 'b57b3bae192d05e1', '33467eeac0c07e61', '73defeeacbffa502', '0764fc7d1ac310a4', 'd6c447047a35a41e', 'ef71162fc458a834', '4c5243aa962d4277', 'd6ca8c7121be7809', 'd3b719a3855f8ba8', 'ee90605f5f0a4d2c']; context = [[25, 106], [50, 117], [16, 76], [16, 88], [0, 67], [111, 159], [0, 70], [212, 271], [119, 165], [114, 168], [48, 124], [6, 93], [1, 57], [20, 104], [33, 116], [35, 113]]; loss = 0.012272 low_pass_filter = 0.300
+Epoch 0: | | 34829/? [6:05:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 34830; scene = ['71968459b3168e4f', 'b3842ad806d9a13f', 'a92ffea4cbb162e4', '062f247f28a18c88', '95f88ab4932e5ee7', 'e3baec3d11a94685', 'f5d5cdb2832d4496', 'd41080892de5082d', '6432570e1a1c49f6', '0400474c688a355b', '3bb8ca11ff6e54c1', 'fc801406b1f9db3f', 'a029fa2714aad1b4', '697df23e9f5fb6f5', 'eff8b7d918bbe2cc', 'b3859fc1eb5d926a']; context = [[13, 83], [5, 90], [0, 62], [0, 46], [25, 73], [4, 83], [165, 241], [32, 77], [8, 80], [9, 54], [64, 118], [51, 120], [170, 226], [51, 136], [76, 166], [49, 107]]; loss = 0.012439 low_pass_filter = 0.300
+Epoch 0: | | 34839/? [6:05:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 34840; scene = ['62319ed3333b356a', '8ec583b55bdf23e8', '6d0471242f13b0fb', '71d54dad3eaa8ed1', '846926f897427263', '899aae28d5e32d0c', 'd9df345fe1518eec', 'ad65c37e0613e84e', 'd1850dfd19d9717e', '35c9bad68b2d0c26', 'ed7301d62809aa84', '01bdef4237b05b3e', 'ed1d3c0db41a3c5f', '56fe6095311b0b06', 'd255de42f58810e3', '5d0a3ff0e60ec517']; context = [[30, 75], [9, 92], [17, 103], [1, 72], [49, 99], [8, 57], [53, 104], [31, 116], [147, 202], [39, 108], [8, 75], [5, 53], [23, 68], [0, 65], [8, 76], [160, 221]]; loss = 0.012689 low_pass_filter = 0.300
+Epoch 0: | | 34849/? [6:05:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 34850; scene = ['3288cc4146fa0325', '30dc291c1028f6a8', '0f7e699b0d6c2662', 'c56771097144c602', 'c574d305d0300d5a', '63769ed0cec09068', 'ea850ce89b6b046a', 'd9835172ec7ef94b', '77e01fe2ab7d1ce7', 'f7da21f2c663dabf', 'ba266508ebb8dd7a', 'f9d90190e833a4cf', 'bfb69e8778579fdf', 'f1b6e93f27fd5770', 'f6a5937f861bc798', 'efcc8e5b3e5c6ceb']; context = [[3, 93], [0, 53], [11, 92], [164, 225], [22, 81], [63, 124], [3, 85], [1, 48], [47, 132], [48, 123], [157, 235], [30, 77], [22, 89], [50, 125], [3, 76], [183, 270]]; loss = 0.014386 low_pass_filter = 0.300
+Epoch 0: | | 34859/? [6:05:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 34860; scene = ['db19e9921c27a973', '5d82d56654db7bf7', 'de35e3dcf2cd81be', '8337a32969c365d7', '99e524fca7e5a5d0', '0004866ca872087c', '28522eba1f933510', '366f8a7117e1e421', '6dfb206dc1e977e4', 'bbfc877f1b91118d', '6be392a2f991bb80', '4a686a9c23354430', '48b9036a85220b01', '3137d32facfa0909', '1296e02bdb6ad82d', 'f11edf723a9c4afd']; context = [[119, 166], [133, 180], [5, 67], [61, 107], [26, 101], [13, 98], [0, 73], [3, 72], [5, 54], [4, 66], [3, 80], [27, 81], [11, 88], [9, 85], [3, 68], [37, 108]]; loss = 0.011274 low_pass_filter = 0.300
+Epoch 0: | | 34869/? [6:05:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 34870; scene = ['2246a06adeacc230', '7f332d591ca1980e', '74276916559f4ca9', '95da46cc74bd865f', '0e3dd3714c78c34b', '96e650d88643f131', '0aaf3b090165ec8c', '711eaae87d76ac0e', 'f5c74a79946b8cca', 'e2ef2c40eeda8f3d', 'a526a271a561bc23', 'aa91057e660588a6', 'a57c3d7a98497d6d', '0a3c48bdaf8771da', '21b43052b04845cb', '1468285f818227c3']; context = [[4, 72], [75, 127], [17, 77], [0, 80], [19, 98], [2, 56], [95, 146], [1, 84], [8, 60], [1, 75], [7, 69], [112, 186], [19, 76], [127, 190], [1, 74], [12, 64]]; loss = 0.013700 low_pass_filter = 0.300
+Epoch 0: | | 34879/? [6:05:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 34880; scene = ['7d5c51c5f39d934f', '7c6aacddd1f0b010', '92afd16fd30a86b4', 'c94efffcd4d7be2d', 'c043b0c770a81f04', '0b0f20dd486b208a', 'f83541c6c3766a70', 'af70bb56689e4028', 'f5729c1f4eee619c', '810baf013fd27f1d', '867c2bb5fab7a6bb', '215aa6a4d48d04f7', '40e1ec4d9aa2c2c5', 'd18c658cacb360e7', '7e5756871781609d', '1d5beb41beda4af6']; context = [[82, 134], [90, 171], [41, 115], [4, 82], [7, 59], [15, 100], [13, 69], [3, 75], [0, 49], [39, 121], [36, 97], [0, 77], [10, 64], [119, 208], [110, 174], [21, 66]]; loss = 0.012804 low_pass_filter = 0.300
+Epoch 0: | | 34889/? [6:05:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 34890; scene = ['0946917a7d8f6624', '6c4cb27d617151aa', '214621bc4a448f70', '001cf02b7625a4cc', 'e9ed178ee8b9c40f', '3d30b440244efcd5', 'c84a3d02144472e6', '8624ee0839cb6e4c', '112ee2bd1c2b61cf', 'e2efa22c28e4d27a', 'e2b9fe93917b4294', 'c9f4fa78c5198a38', '823a32785927191a', '0645a0441a9553e9', '3b7a2b88d554d67b', 'b434dc6c5924ebfe']; context = [[8, 65], [2, 55], [93, 141], [37, 111], [5, 83], [5, 57], [19, 91], [36, 87], [3, 78], [2, 74], [11, 88], [5, 91], [8, 60], [2, 50], [35, 89], [17, 64]]; loss = 0.016341 low_pass_filter = 0.300
+Epoch 0: | | 34899/? [6:06:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 34900; scene = ['9007b3ae76d7a762', '2ef7b8e6a0602913', '9adb29df30906ff4', '69dd3eb18ff7a838', '6ef51b06550c0d9a', '74224d25c8e85b39', '99842c7b205bdf8d', 'bf37156b4d92c7f2', 'e6dd3fbd91151b5f', 'eb425ed48c29872d', 'd12eaa23dc8bdf11', 'aa6f4e19536dbff6', '0d9a105c2374b898', 'fe23698b552751d5', '956590dd8707a291', '444acbb6c0877842']; context = [[21, 104], [51, 103], [52, 125], [114, 193], [32, 86], [164, 209], [34, 93], [156, 206], [1, 56], [144, 233], [13, 93], [9, 61], [6, 58], [25, 76], [25, 73], [0, 58]]; loss = 0.012179 low_pass_filter = 0.300
+Epoch 0: | | 34909/? [6:06:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 34910; scene = ['6f8423afebbbbd25', '2b7db567dee04ddc', 'f64fae58aadd8fd4', 'ebae90e7760e1bb1', '1294aa7d1d603aa4', '333a7f003ab41a5a', '8f6465a1108df3db', '3de5c60abf559a69', '0ee7e810d79b3a9d', '3e33442f3b19526c', '1201a08ff8429b5c', 'a0c550da4185fc6f', 'a28222bcb38d29b1', '1413db38e3f70b4e', 'd118e19d42fcf599', 'eac342d936e459d0']; context = [[90, 137], [0, 81], [20, 82], [16, 95], [119, 174], [5, 83], [13, 61], [8, 67], [207, 278], [1, 47], [24, 111], [10, 97], [6, 88], [69, 126], [49, 137], [25, 77]]; loss = 0.012514 low_pass_filter = 0.300
+Epoch 0: | | 34919/? [6:06:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 34920; scene = ['6d417df8e0934224', 'bab9c0dad972d960', 'db00e04f787940eb', '4bddff1b2be3b379', 'cb51faec2dc6c5d6', 'b0c32caf4c54e188', '0b4c2c46d09e60de', 'aa0480c4085e88aa', '406e9c6c0f7a3a54', '799db24bc6996ff6', 'ad218b07f21fde5d', 'c00aa176dbded93c', '11d971d7a14928cd', '4ae8d76f03c4bba2', '60756c59813ae4fd', 'b77d133bef4fa907']; context = [[117, 178], [10, 63], [11, 96], [98, 158], [17, 102], [8, 81], [125, 185], [91, 138], [132, 186], [3, 54], [6, 52], [42, 117], [11, 92], [79, 130], [3, 49], [44, 96]]; loss = 0.011854 low_pass_filter = 0.300
+Epoch 0: | | 34929/? [6:06:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 34930; scene = ['f8ff67683c2323b8', '070e03b0709a0c7a', '8062e068d364879e', '7d9927959e97ee1a', 'c098a117d37c1b11', 'bbb9d583807930d7', '10708f738dc1cdcb', 'ea26a05e0acf26bf', 'f1d6506bce19c2a4', '02525fa55a283ef0', '862bca667f4bf63a', 'd1a65bf92e622589', '72cd35a718e0120d', '9e02959687979c23', '1b387f2dc63125fe', '10ac5613e2e5cb79']; context = [[116, 187], [123, 200], [168, 235], [0, 67], [26, 115], [112, 194], [13, 65], [66, 150], [14, 90], [1, 82], [103, 166], [73, 150], [64, 113], [65, 134], [57, 113], [13, 62]]; loss = 0.015413 low_pass_filter = 0.300
+Epoch 0: | | 34939/? [6:06:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 34940; scene = ['6e521142e65f6c17', '7efc7102b3b079d9', '5ea7115a2e255739', '552dfd0a1d1ec11d', 'ca1fde2400756850', '0ea602343e77c593', '4d3229cd7d69828b', 'fa6b4b8565053454', '75cf72cbf86f26c0', '0a76fe2e2dbe992d', '75134d5964b209a9', '9244db5b18e2b374', '1e901762e6303bd1', 'e66b797b12d9b3ae', 'fb3aa8b76598c008', 'afff928380f0e048']; context = [[102, 157], [0, 45], [16, 85], [13, 58], [14, 94], [1, 79], [70, 146], [0, 65], [24, 84], [11, 89], [36, 110], [8, 83], [56, 106], [195, 249], [2, 68], [77, 155]]; loss = 0.013735 low_pass_filter = 0.300
+Epoch 0: | | 34949/? [6:06:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 34950; scene = ['e3c3bda65be93ac5', 'b719eff1b6efd965', '2c3ae6fba185012b', 'f19a009a27a1276d', 'a17c834f307ff467', 'b2af46dfc30a2b98', '9b7403bb0613e92c', '74c22eae5c48a79c', '9815cb01a1e2e684', '9c991649a1e92906', 'a551cf6503324ab8', 'e8a8f9f332e58578', '8246780079add2ad', '5a1280620a5668fd', 'f4b8e03f8512d2d2', 'b889e10f246936aa']; context = [[25, 94], [7, 92], [36, 126], [22, 70], [72, 134], [9, 79], [18, 72], [47, 110], [48, 133], [1, 60], [12, 91], [69, 130], [72, 140], [12, 83], [15, 84], [6, 62]]; loss = 0.012268 low_pass_filter = 0.300
+Epoch 0: | | 34959/? [6:06:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 34960; scene = ['da00eeceee79149a', '43bd98a947ea61ea', '78718ab636cea9a2', '812e006c97d55f65', '96f428c26a493886', 'e0540e2d6160e242', 'e9eecd2f4af1e41a', 'd8c6ae0c604d9622', '6297d2e2430c2951', '0880e957b3055732', '92095761993aafea', '4064d154767da583', '245007bd10b2a438', 'e64f7803e7ad44f5', 'f9d7f70bb0034f0d', '0763cb68386479e1']; context = [[1, 54], [4, 58], [3, 48], [88, 167], [50, 100], [18, 66], [32, 103], [0, 71], [23, 69], [46, 99], [47, 103], [18, 84], [10, 59], [2, 61], [151, 204], [48, 118]]; loss = 0.012812 low_pass_filter = 0.300
+Epoch 0: | | 34969/? [6:06:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 34970; scene = ['d9245c9ac4c4abc0', '9af5a5ca453569eb', 'c8f4410e38041994', '377ad4b5371122ec', '8e92e82ea1db9ad5', '89f064fb49ca1d71', '4cc645e3eb5ae214', 'd8b5a46539b588b2', 'c4fe7f9718c54978', '25fd55548698c24f', 'c526862108180b76', '451cbada271e43da', '6a63ee943d64e132', '1796fc4fdad7e0b5', 'fffda70800952a46', 'ddba350b46e1eae0']; context = [[106, 160], [15, 94], [3, 78], [0, 54], [2, 65], [55, 145], [72, 132], [60, 146], [44, 100], [69, 134], [5, 84], [197, 261], [4, 71], [53, 116], [4, 59], [0, 83]]; loss = 0.014275 low_pass_filter = 0.300
+Epoch 0: | | 34979/? [6:06:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 34980; scene = ['8053ed847b0af4a1', '24887d4b62338558', '7a37989147703fe6', 'f689c2aa8c701b90', 'cd04ab5dec574c93', 'f446313cb440ed1e', 'b6d94913365750d7', '1fd54c9bd5b75d33', '5e027a4bea7f4724', 'd3632550fa9e2ebd', 'c37f371024f6d632', '9010748f8cfe88b9', '289685420c8f68da', '34eef5463ac864ae', 'bad5f833677cd32f', '25aff15f6c54558b']; context = [[16, 82], [23, 108], [198, 275], [2, 64], [74, 140], [0, 64], [2, 70], [4, 85], [33, 90], [38, 99], [49, 96], [18, 104], [3, 58], [38, 84], [4, 73], [142, 192]]; loss = 0.014935 low_pass_filter = 0.300
+Epoch 0: | | 34989/? [6:06:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 34990; scene = ['7e5536f41f78efef', 'f3ae6e138a71764a', '7057640ecd8eba92', '02880bd3817885e9', 'e30d993fa7695b3c', '1db855eb2be5b983', '14270bac7ebd4ce4', '09a1e9bbded02341', 'b23cbee05407661d', 'd1a496112cee9a32', '52ba723e1b5e31da', '3918e4998619b227', '2a23966bfac99977', 'b4a46c5d2d8d0415', '7bf71b62cccdf2fa', '30e1d420b926d6f0']; context = [[4, 78], [17, 78], [30, 87], [31, 80], [79, 130], [163, 235], [3, 76], [35, 122], [55, 137], [5, 85], [31, 117], [92, 166], [166, 233], [0, 65], [40, 106], [55, 106]]; loss = 0.012927 low_pass_filter = 0.300
+Epoch 0: | | 34999/? [6:07:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35000; scene = ['ed8f111fe1e568df', '34706332e0a4aeff', '4988d7e7487387ab', '0bec7887227e806b', 'c87c8f9c8b42399d', 'cfff66f23f588e47', '23137b92a3535ce1', 'ea9991a2c4066cd8', '4fe1b7dd68a6542b', 'ec921f15f6d56701', 'c47c2dc65efa8de8', 'b3c6abce1788432f', 'a29e4db4734cac27', 'b5780abd5251b9f4', '161da535e54d4c7e', '531ecbac17b31733']; context = [[3, 78], [17, 73], [113, 194], [25, 104], [66, 122], [138, 187], [0, 63], [18, 80], [66, 126], [0, 65], [37, 102], [12, 62], [0, 45], [39, 85], [1, 62], [135, 192]]; loss = 0.011189 low_pass_filter = 0.300
+Epoch 0: | | 35000/? [6:07:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0validation step 35000; scene = ['13fcc228c40a0e67']; context = [[17, 83]]
+Epoch 0: | | 35009/? [6:07:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 35010; scene = ['d47e75b15999fbdf', '302dce331d4fae7f', '25a8748755829478', '2066f797ae29e4f6', '7b6eabbbf765f5d2', '5dc0767d6e6c8307', 'd184f1d7b220e094', '33fce97957833b09', '3f46d18800b31883', '0ecb8e2597c98e05', 'c95e9f2c9f8fbcab', 'c305cf91570deb82', '597d275f09b79f31', '21be445f191eadba', '0db524aed16843f5', '334353cf397fda8a']; context = [[39, 120], [2, 49], [25, 81], [147, 193], [22, 85], [34, 110], [86, 134], [39, 109], [22, 90], [24, 69], [0, 50], [77, 123], [101, 181], [0, 68], [4, 73], [159, 221]]; loss = 0.013330 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 35019/? [6:07:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35020; scene = ['5edf1a4936d1e3cc', 'ee1b42096b7e9290', 'fbe4178be70f09de', '4fdc641d03ea4cfc', '3e3bdee0d09a1df6', '5951af157af185d3', 'ccb547dcb32e6a39', '51e9e7382a4da6a2', 'e033e4b75d4f8b5e', 'e7b5b41ab8ad84db', '85082ee2008df25c', '1944afb329556c51', 'ae4c14039db4774d', 'e67c69743b27b7f4', '1281a0b56433e41c', 'e3487ac76c827d35']; context = [[112, 167], [5, 66], [1, 46], [84, 130], [89, 136], [12, 89], [19, 86], [17, 106], [41, 107], [70, 134], [2, 67], [45, 121], [24, 101], [0, 72], [132, 210], [7, 84]]; loss = 0.014996 low_pass_filter = 0.300
+Epoch 0: | | 35029/? [6:07:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 35030; scene = ['02525e607954e087', '22784cd40adaa61f', 'f50776fbe854899c', 'afb48c56cc7ce3d7', '96cc4eac057b8f1d', '5ceded5edfceb262', '7c3476a62ce00a5e', '4458d2b066bc5da6', '68ac9aca7a4cae97', 'f0b964cc96ba3d3e', '8f20f72494bf5bdd', 'a72b94bee0c0c469', 'b1fa3763e9862c47', '110eff3e7cfad06e', '28c433a75667a138', 'b88bc7e2f6a64a68']; context = [[56, 133], [29, 79], [3, 74], [19, 95], [4, 84], [28, 100], [24, 71], [9, 87], [27, 76], [7, 78], [8, 58], [95, 159], [41, 88], [114, 164], [113, 174], [13, 93]]; loss = 0.012272 low_pass_filter = 0.300
+Epoch 0: | | 35039/? [6:07:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 35040; scene = ['9310858f11065186', '64098df376b74474', 'cb1edaf5128dbcaf', '61e3c3e1421e1aa9', '4a5e619c6f01c41e', '222cd1a2547673a7', '5adf90dc342153ba', '668ae7258c4f8f91', '74a6afa81cb857d7', '3bca9bd0b5f7113e', 'ab588633c52af577', 'b4f83e1dea92ce42', '0b222eecb64714d5', 'ea775b47f8ebff91', '1176759f66035c99', '4ab2f8367e37a730']; context = [[5, 92], [53, 108], [200, 249], [85, 171], [0, 89], [52, 129], [71, 152], [4, 52], [71, 122], [175, 222], [9, 66], [15, 68], [216, 268], [2, 60], [12, 89], [194, 263]]; loss = 0.014958 low_pass_filter = 0.300
+Epoch 0: | | 35049/? [6:07:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 35050; scene = ['117d1c9fd462963b', '7c664e90551fc0ec', '64ebbf286630bc79', 'e213c0e5f037bd5b', '8b95fd46af2120e1', 'aa537814419ecf94', 'bb758f7d6cc32e3d', 'd6f7c7d0d43844b5', 'afe4231d9129076e', 'a4a01e93fcd428b0', 'cac5c47b2aa42583', '1237e179ae7ad3b5', '8eea074fdf6f2a8b', '37de3df2a5fe9be2', '03272d46e7fc37c6', '704cdcb7dff6e7f6']; context = [[20, 104], [1, 65], [134, 218], [3, 83], [28, 113], [2, 81], [1, 50], [7, 69], [20, 78], [41, 113], [8, 70], [102, 189], [10, 92], [21, 83], [41, 98], [28, 75]]; loss = 0.014625 low_pass_filter = 0.300
+Epoch 0: | | 35059/? [6:07:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 35060; scene = ['a5dbef04d6fa313e', 'ade406ba3ca1aa87', '83ac781e4066fdac', '8d2c92c5aff6074b', '83a2d84657f60fec', '417db333638be420', '765c6be0dc971f03', '149ad45c2b6dda1a', '8ec047d3e6c67047', '371a69a4c08f16c9', '68c8db171dab75ea', '88e0dec195946b92', '81069f82e3a23374', '10d9a0027597c2ea', 'a8416be94ccb0830', 'b5869252c17178fb']; context = [[34, 88], [11, 74], [7, 59], [19, 101], [2, 48], [0, 82], [140, 218], [6, 58], [0, 47], [192, 244], [53, 103], [0, 46], [4, 51], [3, 82], [0, 63], [14, 88]]; loss = 0.015792 low_pass_filter = 0.300
+Epoch 0: | | 35069/? [6:07:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 35070; scene = ['5e1d6b188223a8e1', 'd010e0e97adae589', '1430e60d559cbd58', '06241ebed1658f34', 'c08b1476714d7157', '8d55943b8c94ce05', 'ee3711bac577a462', '5a82c5f046b41d2d', '2da2956e64503879', 'f419db48105effc3', '8fd7051719018ced', 'c07925f68903fc57', 'd8cf0740190ea2b7', '9b43abdb58522c0a', 'fb3d14d7b5e60ede', 'f6fbe2eadab7bd83']; context = [[9, 83], [18, 78], [52, 132], [31, 118], [95, 182], [4, 93], [39, 96], [99, 188], [33, 78], [50, 106], [23, 72], [0, 46], [1, 82], [6, 82], [11, 78], [3, 70]]; loss = 0.014355 low_pass_filter = 0.300
+Epoch 0: | | 35079/? [6:07:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35080; scene = ['67a6d6dd4fe76aad', '0cc616dac37caabc', '4c7d379804ee1210', '0496bb7a63a6dfa0', '2b4f68d46cb26a44', '43a0be8fe210881a', '5f90abeec03dbf0b', 'be553334cc0aecbf', '21cdb061965f9b4b', '319f501207f10fa4', '0713aabe3917739d', '3c4c974cb4c99ec8', '35be366ea8fc6899', 'a679f322e22ef3a4', 'c77420b51c2e86d5', '7eaa23d04951ffe6']; context = [[20, 87], [46, 107], [186, 251], [23, 93], [94, 175], [35, 112], [94, 184], [176, 233], [1, 51], [23, 73], [69, 116], [122, 170], [6, 69], [176, 224], [64, 115], [28, 92]]; loss = 0.013735 low_pass_filter = 0.300
+Epoch 0: | | 35089/? [6:08:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 35090; scene = ['082c57765925eb2b', '9e0aee54a72d5c8a', '4d322621daca2ce7', '6f906f4748dd243a', '490719eef95b0e50', '0510e6f8eba380f4', 'e80172408be42618', '9cd0e5c7790fde1d', 'e6e618b39c52caed', 'c9f78fa882799a27', '02366c12e5d264fb', '52530a8fe72a85df', 'ad39efaa855a34bb', 'f18f902446e55b6a', 'b940087d000e5084', '13b1888318fdc03d']; context = [[35, 84], [0, 45], [11, 74], [175, 255], [1, 58], [11, 99], [17, 89], [131, 180], [1, 49], [7, 63], [36, 93], [124, 200], [0, 68], [189, 258], [0, 71], [4, 80]]; loss = 0.013000 low_pass_filter = 0.300
+Epoch 0: | | 35099/? [6:08:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.70, train/active_min_children_step=1.0train step 35100; scene = ['2f3f9d1ca227e778', '44471b1ddc8a21a3', '422be740e4324b2f', 'b5a21dca4b05f21a', '42f21199800301a7', '969cd414f3c8adac', 'c2b19e19008d6f64', '72a3dac21cc5a55d', '469357405bf85934', 'c3a3738c8ddb0e85', '0e3f607337796809', '29a281fc3ab05630', 'a26506571c3951f0', '52c3a0280109a146', '4d8d06f8f01e490b', '32a71cbba220ffc1']; context = [[0, 54], [11, 99], [0, 50], [0, 67], [30, 102], [177, 253], [4, 59], [16, 67], [58, 127], [2, 66], [13, 66], [13, 62], [17, 73], [31, 81], [0, 80], [13, 102]]; loss = 0.013169 low_pass_filter = 0.300
+Epoch 0: | | 35109/? [6:08:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 35110; scene = ['4f6984c28d90eb09', '95c59cc52adedbc4', '11bdc79f5f3fe36a', '33ec2bc6fd434fe8', 'a95691c28a8c28a3', '5f44c9c88b73aa5a', '249adc3e479b28b9', '2f56fb1ce3c46045', 'e19f2bdf424cfcde', 'dc88bf46941dca99', '993c6c80f2eb7d43', '9c2ec37ccb615cf9', '54cfdcc11f17f88a', '2e9e4bab16c8ede6', '4d5c72169a93a233', '956274d5bcd97d41']; context = [[3, 82], [28, 107], [1, 65], [18, 100], [195, 272], [6, 95], [0, 73], [211, 275], [31, 115], [18, 85], [3, 65], [2, 61], [18, 80], [125, 187], [3, 71], [40, 128]]; loss = 0.016502 low_pass_filter = 0.300
+Epoch 0: | | 35119/? [6:08:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 35120; scene = ['c37f371024f6d632', '1fd54c9bd5b75d33', 'cd04ab5dec574c93', 'd3632550fa9e2ebd', 'f689c2aa8c701b90', '34eef5463ac864ae', '9010748f8cfe88b9', 'f446313cb440ed1e', '8053ed847b0af4a1', 'dffbd50f717a2075', '4f95468a4da9e2b0', '7b352ec783603c4b', 'fd64852cf7b03b62', '60cd7c110878bdb4', '47da7cc68759850d', '80852727f76f2089']; context = [[209, 274], [9, 58], [96, 154], [6, 91], [5, 76], [10, 71], [1, 49], [11, 71], [9, 90], [41, 130], [228, 273], [0, 81], [15, 65], [5, 65], [33, 123], [6, 81]]; loss = 0.013450 low_pass_filter = 0.300
+Epoch 0: | | 35129/? [6:08:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 35130; scene = ['af86063cb2beb55e', 'b40e61afa21e81e0', 'bd6d8b8569032793', '6f97a563d0b91176', '4333a6c56a0585b7', '59a40926c651be2c', '3a38f2c008949a0d', 'ce8f66b6ba5c59ee', '4315a78edd3d0876', '1b48b0eb0b866872', '62346e5278598970', 'a96a9c28eba2661c', 'ae54b40ade46406a', '8d6f43976c9e5f94', 'bc1f5e2d86b6b59d', 'b5aabaaad03680ab']; context = [[24, 72], [21, 99], [100, 164], [0, 49], [2, 50], [60, 137], [5, 67], [21, 67], [6, 58], [28, 108], [0, 64], [5, 69], [145, 225], [173, 249], [143, 199], [35, 86]]; loss = 0.014915 low_pass_filter = 0.300
+Epoch 0: | | 35139/? [6:08:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 35140; scene = ['d46599d6e4a2b451', '22930dc0f3c405c3', '89aa829b0eb46329', '6718140431816c04', '38e70ae6488aab33', 'd4f199bae7f9028f', '1df4a087ca57a288', '725cf32a819e9e70', 'cb698c8760f7a3f4', '1a32ab8d1a0d978a', '6c72d78415cc37c8', 'db4b40e46859c189', 'b52b95a079398db7', '0c4e735d67b92814', '679f1c3b1b0b04b0', 'd088946d4bd109dc']; context = [[87, 161], [3, 58], [48, 95], [2, 47], [208, 262], [36, 126], [3, 57], [30, 87], [0, 58], [67, 119], [3, 65], [4, 82], [5, 63], [39, 88], [36, 99], [94, 173]]; loss = 0.011649 low_pass_filter = 0.300
+Epoch 0: | | 35149/? [6:08:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 35150; scene = ['8c4336dfc75f2750', '41616caa49584d42', 'c365ab51c29c0f47', '7c1ff645cdd0bddf', 'bd4227274d011674', 'c66103cf29564bcb', '3c15b2ce08b4d3eb', '36107140acb611a3', 'dbdde58cc9737f08', '8c710017b7fa073b', 'a622560296708d3d', '81fd78f84209f2e1', '41b80c5fb43019e5', '70a20d40c095d870', 'c83232c6a4f0b035', 'f70ae846db4fddda']; context = [[151, 235], [11, 67], [12, 100], [3, 50], [4, 53], [14, 79], [8, 98], [0, 57], [1, 55], [52, 128], [111, 185], [1, 79], [209, 266], [173, 246], [68, 115], [44, 93]]; loss = 0.011178 low_pass_filter = 0.300
+Epoch 0: | | 35159/? [6:08:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 35160; scene = ['4c46369d8385c212', 'fa9c60683a0709cc', 'e63b32dfdc4e327b', 'f68d8734f10dfcb1', 'ac45b05af29c498b', '1898b76cb20a242e', '2832d0d39446547a', 'cb2ddaa9993016b6', 'a3506d8f0aed9de9', '513ea4881175cd55', 'ec70c52a97e8e104', 'b486df0b098bcc25', 'fc6fa0ffe5614ab1', '4ce8a0dbb1d21da5', 'e3b1b3e6d12279fc', 'd8cfd5145f06d42b']; context = [[77, 134], [6, 55], [4, 67], [69, 137], [2, 59], [38, 92], [16, 75], [19, 77], [27, 113], [28, 109], [33, 120], [1, 82], [0, 65], [125, 198], [20, 96], [17, 74]]; loss = 0.014551 low_pass_filter = 0.300
+Epoch 0: | | 35169/? [6:08:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 35170; scene = ['9615018224be2f57', '96f6f619c597029d', 'c275da1b07699d82', '0fa0f0288005bdaf', '531e56a1ae5c1045', '7a8b149bd55e3dda', '71f669a7f9590da8', '5387d5e4957fa417', 'c4c45e45795e1b2f', '80e84c3133ac54d0', 'dbb2260383173238', 'f276b95e48af6e36', '0b426b7d9def36f6', '0ae3cc6c498f4b11', 'f91e6a0c02873598', '035cedf33abcd3a3']; context = [[31, 96], [2, 84], [49, 101], [40, 92], [27, 85], [12, 74], [15, 76], [10, 56], [105, 151], [143, 214], [94, 139], [16, 98], [2, 68], [13, 99], [8, 74], [161, 213]]; loss = 0.013655 low_pass_filter = 0.300
+Epoch 0: | | 35179/? [6:08:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 35180; scene = ['dd79dc72abfc0614', '55bf3c628550da29', 'f1d37c37b26e7be4', '2eee580c984b3466', '1ae8d232b1f3a43b', 'd1a496112cee9a32', '7bf71b62cccdf2fa', '3918e4998619b227', '52ba723e1b5e31da', 'b23cbee05407661d', 'b4a46c5d2d8d0415', '1db855eb2be5b983', '30e1d420b926d6f0', '14270bac7ebd4ce4', '8902e97c5814433e', 'b6f65429632f92fa']; context = [[6, 84], [2, 60], [106, 164], [3, 69], [88, 135], [5, 71], [47, 98], [110, 198], [13, 60], [17, 82], [1, 57], [36, 104], [19, 102], [11, 73], [10, 65], [11, 61]]; loss = 0.012571 low_pass_filter = 0.300
+Epoch 0: | | 35189/? [6:09:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 35190; scene = ['6f34a86f2f4705cf', '27653232d3379a9d', 'bc8608840a05c70c', '2f0e8a231ff23aa2', 'cc03b1ecf793befd', '4c8ba880158eec5b', '44396867de9739b8', '9c7378d4e255abd9', 'bce18b344ffc0b52', 'c3544b3381a888b7', '798682f477023581', 'bb93cd27d7051f75', '3b61ca8af8aef8de', '4d6b988aba86d239', '637eadee47dd1ae4', '190007167fa625a6']; context = [[3, 80], [5, 61], [55, 115], [0, 64], [11, 59], [8, 65], [127, 177], [84, 156], [38, 83], [77, 165], [34, 100], [1, 48], [23, 68], [27, 75], [9, 57], [86, 135]]; loss = 0.010794 low_pass_filter = 0.300
+Epoch 0: | | 35199/? [6:09:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 35200; scene = ['2e1fb15b53a835ff', '6006036a4be399b5', '7eb3280167278387', '215fa276ed8a5969', 'edc05060cfb791cd', 'defc58f5c9e1a9a6', '38a4917ea172fc72', 'dc3ac53518ce425a', 'e76f65b738b1ee97', 'd1aa378322ee78b1', 'fbc37190a4daafe9', '253f519d0152e4a0', '3904cccf6ea2d659', 'b567e143881d6522', 'ec2ecd21e8916d41', 'a2930fffb0d34bdf']; context = [[7, 79], [1, 72], [58, 122], [25, 90], [52, 115], [39, 111], [11, 73], [36, 91], [18, 101], [16, 94], [75, 123], [8, 62], [79, 141], [14, 77], [3, 63], [71, 134]]; loss = 0.013365 low_pass_filter = 0.300
+Epoch 0: | | 35209/? [6:09:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 35210; scene = ['f1f9d16552e2462c', 'fb303711d5b13b89', 'dee6e5d4cc253fac', 'e6decd3548cf13ca', '0b61005b0dc72edf', '38d35ba6f17e9d95', '8a84743315deacfc', 'f0e5e7df315ed936', '2f404f627ef3db9e', '6357d52b51177465', 'cbd8562596bf4ab9', 'cd74d347cde05f5a', '23b48c0014ee6697', '66711c996dd1e5c9', 'c8711a7856dc0419', '4fa421ffe5875b39']; context = [[13, 61], [2, 53], [31, 82], [29, 78], [21, 77], [64, 143], [13, 62], [9, 75], [0, 45], [45, 115], [5, 65], [48, 134], [83, 136], [4, 57], [6, 68], [12, 89]]; loss = 0.013371 low_pass_filter = 0.300
+Epoch 0: | | 35219/? [6:09:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35220; scene = ['2a512828633957b5', '4302f3576310e376', '38a063c486d1e94a', '160eab244cffa6d4', 'c5edd6cf1dbadb8a', '6a1549e061340f9c', 'a0aa269c16aeb3b4', '10bbbbe467426d32', '396b616ef6304d90', 'd2dc639bcb77797f', 'f6383d62f2df75bc', 'bf1277b28c1894f8', '27474a9b81b5b915', 'd1eb3b443a0d38b9', '234aa55514e0ec70', 'ad9a0c2b517fc375']; context = [[55, 138], [18, 72], [187, 242], [13, 88], [67, 151], [9, 94], [48, 115], [17, 105], [22, 112], [36, 118], [26, 101], [57, 102], [1, 69], [9, 96], [2, 47], [11, 96]]; loss = 0.014122 low_pass_filter = 0.300
+Epoch 0: | | 35229/? [6:09:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 35230; scene = ['93029cc15cfc08dd', 'ecb3d127960785e6', 'd9408438cb04cc3b', 'a4f29e578abae21b', '5928418b505f300b', 'd60dbeb3dd984e6d', '060f845d914b375b', 'c79fc1da6084f2fd', '2d17606e514a2dbc', '4c695d737359d9e7', 'ef37ead68f1e378e', '3452e92c33da15ca', '35d1bc95c1015d67', '0cf04367b2124319', 'a14cf1275208bd10', 'd36d3b7a10fada60']; context = [[9, 55], [37, 107], [2, 89], [17, 100], [13, 86], [86, 132], [2, 58], [22, 74], [9, 78], [24, 71], [7, 89], [21, 101], [59, 149], [197, 253], [24, 100], [2, 57]]; loss = 0.012465 low_pass_filter = 0.300
+Epoch 0: | | 35239/? [6:09:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 35240; scene = ['02521dcbad8779b9', '5c957213aeb7280b', '75633e3bea862201', '461662bc4b5653ca', 'fd640c79a50c4d1e', '3a507b30935f9795', '73dd2ea04c16a665', '18b943815a323f3c', '7875d0b2da7d7a97', 'afa9df1446e5df8e', '7dfa29a40bbe8e56', '14cb8b8217e05c7b', 'ae8dc35121d72fea', 'd24dad7b6836ed3d', '327f2feba6b8f044', '30a135d3ff9582e9']; context = [[16, 86], [15, 68], [6, 51], [19, 72], [24, 104], [187, 277], [127, 172], [3, 70], [17, 66], [7, 57], [43, 91], [1, 84], [26, 111], [0, 83], [132, 183], [78, 133]]; loss = 0.014543 low_pass_filter = 0.300
+Epoch 0: | | 35249/? [6:09:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=27.20, train/active_min_children_step=1.0train step 35250; scene = ['a71d3ad52001cc01', '8ad9377ac68e1fc4', 'd24ec4ed55f0cb9d', 'f722d2ef78cc3c1d', 'b05542bd675891b7', 'a9700a57783f7991', '12a02be37a8072ca', '6434fa7bf139fd26', '56d99f2651c2e40c', '4ebdff8b4c93a49a', 'a1ae89e690a4a7a3', 'a80cb16e79664c79', '8ce0d51d0982957d', '1255b860546789fa', 'd95ce46f540c1d9a', '5bdfd491073eeefa']; context = [[31, 96], [78, 130], [75, 165], [4, 73], [81, 171], [131, 200], [28, 84], [3, 86], [34, 82], [60, 112], [101, 168], [184, 249], [7, 71], [41, 97], [54, 117], [21, 80]]; loss = 0.013965 low_pass_filter = 0.300
+Epoch 0: | | 35259/? [6:09:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35260; scene = ['bb59055db453ff30', '2584b6752147b0be', '2f82f0dbdd752d39', '0bdc7f573090746b', 'd3d44712e9d5a778', 'c18c0da0b86ded93', '783ad88c8f9c4c7f', 'cbf43526fd464b32', '3a93a5955496307c', '75a17f30ebffbc88', 'ac2f6532424563f9', 'ed8897f38ed6abaf', 'a0ab47f15ad0a175', '8a34c9e16476e41c', '334347999e76c28e', '854117547c5691d6']; context = [[14, 74], [37, 86], [107, 168], [2, 81], [45, 128], [89, 143], [28, 87], [57, 103], [2, 61], [8, 94], [16, 75], [59, 136], [2, 81], [2, 51], [75, 135], [31, 97]]; loss = 0.015057 low_pass_filter = 0.300
+Epoch 0: | | 35269/? [6:09:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35270; scene = ['af342e32f4c696a7', 'e1730179fd86e4c0', '5eba0adf88b41a12', 'a9a85280b420694a', '32853e04e84e9242', '844f5ac80c18d101', '55500b9b8aa934a1', '97c5606fdea6e732', 'b4297c92de82ba23', 'd99eaa0cc001ecca', '16360d5aa6b5ff46', '6a5e3b521dc9aaa3', '22b738ea36c74818', '987d78cac8e6b4b7', 'fff7d26426284b52', '179a6f32fcf79447']; context = [[23, 110], [10, 61], [26, 78], [29, 78], [8, 73], [16, 106], [101, 154], [0, 60], [22, 80], [134, 214], [4, 51], [1, 76], [9, 91], [4, 54], [1, 87], [72, 149]]; loss = 0.013882 low_pass_filter = 0.300
+Epoch 0: | | 35279/? [6:09:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 35280; scene = ['169edee379eb34ea', '22d2e0be999a5366', 'f38d30f6f359f68e', '02a0ed45d72f579e', '4aa97004815b6816', 'fca33c5a37b6c7bf', 'cbc530b93686f385', '1c3b38063dd1c74b', '5c848e9f227c9f19', '0b707735ebc3eeed', 'f215c9c641543b5b', '5aceda4b60185a11', '18eb222a2b5631c9', '9fd7af0c4e96f607', '2c5af6f6f4959160', 'b6ef30995a324442']; context = [[14, 87], [141, 200], [159, 207], [57, 119], [20, 101], [101, 152], [34, 83], [58, 145], [21, 100], [32, 95], [58, 112], [31, 99], [203, 267], [9, 55], [75, 138], [30, 117]]; loss = 0.013055 low_pass_filter = 0.300
+Epoch 0: | | 35289/? [6:10:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 35290; scene = ['9f390d2b297ecad6', '045a6a385f09e6f3', 'f9db85111bbb3505', 'af94791fa8bfc36e', 'bb4b0c18a7a64c44', 'af4ee662141b52e9', '62c9128dc359e7cd', 'd813316c9bb7ead4', '925366056b9f0d2c', '7ed3419c7717bd7a', '7fdd72e496bdd789', 'e209814caf886ff2', 'deac6c1bc870db57', '3fcf9f442304f5d3', '48e35e779b8bd99c', 'e9688002a18c008a']; context = [[54, 125], [0, 76], [0, 70], [0, 70], [2, 63], [0, 45], [2, 75], [52, 134], [1, 52], [72, 139], [158, 204], [4, 81], [45, 116], [1, 68], [1, 76], [35, 109]]; loss = 0.018358 low_pass_filter = 0.300
+Epoch 0: | | 35299/? [6:10:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 35300; scene = ['fea9ce3b762194ac', 'e775fa8623ae4ea0', '91aec6468e99fde3', '4490b8b81fed9be9', '83085493f4bc18d2', 'ea4e8db997cafe5d', 'a6d8c29cc124ba06', 'c1067c28947eb908', '3ecc9dbeec2451f0', 'b7f11264f90f9fdf', 'a3c290d59ba3d57e', 'a8c23400a2bf1eb5', '97c0e17033d685ba', '4e4314a00227ed83', 'e7bc75049b58cf7f', '227bf499869cf372']; context = [[18, 75], [25, 98], [29, 78], [6, 54], [102, 169], [181, 240], [16, 62], [5, 79], [18, 82], [0, 47], [41, 105], [3, 76], [54, 140], [2, 92], [18, 74], [5, 62]]; loss = 0.018223 low_pass_filter = 0.300
+Epoch 0: | | 35309/? [6:10:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 35310; scene = ['82bdba0219213c9a', 'bfea335b2815b71d', 'ddddc421d62a09bb', '23c841f4630239fd', '5406229b9ec47f97', 'e7ea158f72fb950c', '010d265a82fbe419', 'a34adf19b3ce6def', '1f7fa79c932877a3', '7ecbfd778e45ff44', 'fa743fadeb3db677', '4c94dc60ea4fc29e', '666ba10fbd4f9234', '7e9f4ca7ad15bc7b', '4e4753ff56a92e38', '019fdd708d7163bd']; context = [[3, 66], [121, 167], [17, 103], [57, 132], [46, 95], [12, 87], [99, 185], [0, 55], [8, 53], [8, 68], [0, 76], [89, 142], [2, 83], [11, 90], [4, 76], [61, 111]]; loss = 0.014702 low_pass_filter = 0.300
+Epoch 0: | | 35319/? [6:10:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 35320; scene = ['6e10a046c2ed0765', '3d10d168cfeb54dc', '0a4f895d103b3f57', 'cd46cda78a86e4ff', 'ebce0e22003b1b97', '06e4a604e5a0bfec', 'af63bf3a8f7b4a47', '780faae4b70c35f7', 'a48bd89d4c750b98', 'c8fefdd251b6d90c', 'b4c307f6a16e7660', '143bfbda2460bd45', '1feb9ecdca23818f', '774209afc22d2272', '1d72161deb0221fc', '8c71af9aafcee997']; context = [[39, 89], [6, 60], [0, 85], [28, 101], [6, 61], [1, 62], [20, 74], [1, 68], [32, 113], [1, 68], [6, 65], [227, 277], [35, 122], [2, 67], [5, 60], [52, 128]]; loss = 0.014629 low_pass_filter = 0.300
+Epoch 0: | | 35329/? [6:10:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 35330; scene = ['4cd813b3c22aac8c', 'be5970de1e55802d', '1a90aae528bfbf17', 'ac5450ca3161419f', '932efe07aae19771', '344f685ed646c404', '9bb9087199582c6c', '0d3951ef69a23501', '8391a6010bf08e1b', '7615cbc4ef6c7051', '20805b89fea12b16', '31dfc1a39af4a4a7', '164156530d3be634', '0e6b54a45061ff27', 'd7fa6d0a01a9bcbb', '9832efd4fc5ef172']; context = [[59, 135], [4, 68], [81, 135], [0, 51], [0, 49], [4, 49], [3, 57], [76, 158], [3, 52], [27, 87], [26, 116], [39, 103], [120, 172], [33, 111], [2, 73], [69, 146]]; loss = 0.011734 low_pass_filter = 0.300
+Epoch 0: | | 35339/? [6:10:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 35340; scene = ['dad1cefd696020b9', '4d08f6508693b522', '631a74f12218a536', 'b329ba03c3c5cb90', 'd0bb62a1775b5dab', '9bf7354c65f026a3', '7bcc6fac9d4dac2d', '2c46c889a72102d4', 'f4077924d862e6d9', '3a64dab609df8d4f', 'fc149c075035ff5e', '99b6755f0d52ecec', '76aff96a8073da63', '356f8e682d74a0b7', '56b0e5cd58300dc0', 'd87d256563a679ea']; context = [[63, 109], [12, 81], [0, 52], [5, 53], [12, 61], [8, 68], [21, 87], [2, 66], [22, 77], [5, 55], [8, 83], [58, 111], [96, 162], [1, 77], [2, 72], [87, 136]]; loss = 0.010446 low_pass_filter = 0.300
+Epoch 0: | | 35349/? [6:10:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35350; scene = ['ce61ccc4d291fb9b', 'c49c716e0257136d', '10932c00957d5ec3', '2e0974f13b85cce8', '85cd5c3b6ecf03fc', 'f1a81e9c8264e5a2', 'dcef68ac5961369c', 'de61efbee4c2b1cd', 'd29ac5d4f2c01cd8', '9bf893735e9b1ab8', '209a86f54836420b', '4e42a798152f2381', '96ce3e617124a934', 'c708707156f0d454', 'e94e5df06dd48826', '769f2c32b56cfb49']; context = [[0, 49], [2, 59], [5, 67], [45, 107], [16, 81], [35, 91], [0, 50], [125, 215], [116, 174], [13, 78], [19, 88], [17, 91], [71, 121], [7, 94], [138, 219], [151, 207]]; loss = 0.012741 low_pass_filter = 0.300
+Epoch 0: | | 35359/? [6:10:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 35360; scene = ['54b26b7357f81c78', '5d709e068e3236cc', 'd481fa99ea0ed419', 'f0ebdc3c38328266', 'f281ad937282c080', '1c7fcb270b14fe08', '7aedd2f74e750a45', 'b4190d06c926f805', '6e33e7372c9d4927', 'd7aa89e4d7496f9e', '43e291fe25c29492', 'b2d2a992155c34ef', '54d00f0b792f6fe8', '2f2ef5960c990916', 'ac84d09783ce2409', '3023bfced934551d']; context = [[8, 55], [12, 70], [148, 236], [5, 71], [183, 257], [62, 123], [37, 108], [31, 119], [33, 106], [25, 78], [14, 61], [3, 67], [66, 140], [6, 73], [67, 140], [22, 87]]; loss = 0.012249 low_pass_filter = 0.300
+Epoch 0: | | 35369/? [6:10:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 35370; scene = ['0923f3552ad572f7', '6d5adb44b0fcc0f5', '67ec892c9487534d', '5488d82cdef55be4', '4132cd88ef2651be', '946eb96c9dfaac5b', '97895237339ad416', '3179cd027b8fae94', '360fed8620a3c411', 'cd25c7d3ec39683d', 'c74e5cd0e4f75d20', 'd1454dc9bcd62a01', '30ef5f553648df47', '6aee2575a2c97d19', '1de9cd4f82ee4ea3', '3f62df9974f73102']; context = [[0, 50], [53, 106], [4, 49], [38, 124], [17, 84], [24, 78], [63, 117], [45, 126], [12, 79], [32, 99], [10, 92], [43, 129], [0, 82], [75, 156], [92, 163], [39, 124]]; loss = 0.013088 low_pass_filter = 0.300
+Epoch 0: | | 35379/? [6:11:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 35380; scene = ['bf48f07f09565e35', '181157826ea13ab5', '9adc772b1760c9fd', 'c1b5b7779a98027d', '7fe66601858b37dd', '658d5216501736d5', '1042daa8f8fd2955', '63cedce5caa10d40', 'd4f9b7f5a436bc5e', '93ba1cbdfc5cc86e', 'fccff2648cce2404', 'ea066e1485b1d986', 'da90d7c66bea01e5', 'bad408c9f619acdd', '89264e76e0901fb9', 'a13d8d996ab50fd7']; context = [[195, 245], [3, 86], [115, 183], [74, 130], [101, 187], [66, 118], [13, 80], [0, 61], [26, 90], [23, 84], [26, 87], [119, 178], [25, 81], [71, 127], [95, 171], [52, 142]]; loss = 0.012779 low_pass_filter = 0.300
+Epoch 0: | | 35389/? [6:11:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 35390; scene = ['471dbf0c87875c03', '0c319081d6fdfa8d', 'da4deac373a366be', '6662695dfbebb0f0', 'df03ba10b66f2473', '5e041af008e49e96', 'f45d89e13c989cb5', '9af973da0db34710', 'bb48e2d74b804b95', '6b6ecd758a2161af', 'b65da7000a104086', '9cd867f121e491ae', '1c3e848e9fd120da', 'f8e1dd1b4d8d2f01', '8fa11a3bc6119a46', '593292727003667d']; context = [[0, 56], [17, 78], [230, 275], [11, 101], [191, 254], [3, 49], [42, 88], [0, 52], [88, 146], [93, 168], [0, 81], [3, 58], [0, 68], [17, 107], [23, 108], [28, 105]]; loss = 0.015777 low_pass_filter = 0.300
+Epoch 0: | | 35399/? [6:11:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 35400; scene = ['d4066cabb16158d5', 'a1b823b2106e429a', '8fef2b61bad0d3d5', 'af9be62e98b8c2de', 'fe9d806cb3061f25', '95abb7fcec549b2b', '97535c54a3152d44', '766de6b831bd5c34', '959d7c0bd7c04b24', 'e8f23f5065972ddb', '5843a30d98578bdb', 'ee5ea1ea6d5efff7', '3cabead051e0630d', 'bed50122582298d6', '663bf6b629560036', 'f3240c7519b47306']; context = [[13, 90], [25, 91], [30, 99], [0, 56], [3, 56], [20, 82], [98, 174], [4, 63], [31, 78], [101, 166], [31, 117], [114, 166], [13, 86], [24, 86], [1, 87], [0, 90]]; loss = 0.012999 low_pass_filter = 0.300
+Epoch 0: | | 35409/? [6:11:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 35410; scene = ['37053ecd72a3c47d', '8906b9e330be94d1', 'af94d397bb39a345', '99174ac47256f0e0', 'f5f5c6090e031091', 'c2b8b3e74c64553a', '4212b51144518ed4', '8f5de70392859ba1', '7aca142562284e3b', 'b266226a3d237e80', '7e8630a890a85545', '978b213631462dad', '0c6abcc734bb3112', '493047f10d617f3c', '8742bd2ab32b9163', '202e6eee20bdcddf']; context = [[119, 166], [6, 77], [181, 271], [86, 176], [2, 50], [3, 62], [0, 73], [62, 115], [3, 52], [90, 154], [13, 95], [1, 50], [167, 219], [45, 115], [1, 46], [48, 99]]; loss = 0.011373 low_pass_filter = 0.300
+Epoch 0: | | 35419/? [6:11:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 35420; scene = ['af57a1f0c29eaaea', '6989116a3baf6c4c', '49933df694f4108f', 'a60e746c2f928b89', '96ed5a8b0dcc572c', 'ffe814d6a265f8b5', '1fb1e0336eac93f3', 'ecb14f7f19f960b9', '6224f61fe042e117', 'a6206fb1dd702d53', '5b9e7f0865190eda', '106449f6ae050588', 'cf7f50d31a60d2c7', '997bd4fa68eadec0', '895921f7a73776fe', 'dd5141d992727508']; context = [[26, 90], [122, 177], [15, 102], [10, 69], [16, 98], [78, 144], [0, 81], [7, 74], [130, 198], [116, 195], [123, 189], [145, 199], [3, 84], [147, 218], [2, 49], [10, 85]]; loss = 0.012593 low_pass_filter = 0.300
+Epoch 0: | | 35429/? [6:11:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 35430; scene = ['b49b695f253edbda', 'dcf8835ddbd28de7', '9d7d3ab47fc3f5ca', '5e22c9e85225ce9d', 'bc84a3e1d55aa887', '51a1ab321c659ced', '984fcd3c7c0ddeb1', '4d3bdfc0840251d2', '9f0f1ad360ccd857', '9b07d9e9bfde2127', 'a8013f840680bad5', 'a76ec83c9984d4cd', 'efb0fa43f36306e9', 'b8c4f3337fbd630e', 'b519397ffd947056', 'a2272a447c64f48b']; context = [[79, 145], [2, 71], [0, 46], [51, 131], [85, 137], [0, 55], [44, 94], [12, 65], [42, 115], [8, 58], [2, 87], [15, 86], [26, 98], [192, 240], [13, 103], [79, 163]]; loss = 0.014520 low_pass_filter = 0.300
+Epoch 0: | | 35439/? [6:11:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 35440; scene = ['0bb6a72c60b3791c', '48cde20d8a9599d5', '295f7411f92f09d9', 'a0326afa9415c8cb', '7ca343c7d29b984b', 'e095b406c6cbfb8b', 'f47277f7f51b6864', 'fae7161bcb2e590d', '9fcde3fe23e549d8', 'afeaac19bebc10c7', '18d484c10ddd399c', 'c09d296599e17841', '5e917bdeae4efed9', 'ee1b11a998105ff1', '10f06c35440e8272', '1ae55eaa9c1fa1bc']; context = [[101, 164], [0, 45], [22, 83], [9, 98], [1, 82], [165, 247], [29, 91], [0, 62], [17, 80], [79, 165], [56, 104], [116, 200], [36, 102], [17, 65], [23, 80], [82, 139]]; loss = 0.014979 low_pass_filter = 0.300
+Epoch 0: | | 35449/? [6:11:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35450; scene = ['58a7d411c1fb25d2', '96f03281c30927f5', '66b6630688276790', '31ae4a9d76a91174', 'd588ae62f9b649c2', '91461b13fd903e40', 'f3daa7d364f722c1', '56d278fccc3262a2', '6bcfad17928a7596', 'cc70fe54f91b62f2', '7bc6193e511cc112', 'c896b9790d75ba5f', 'd5cb4b22561d402b', '21fbf47a07583ef0', '54611c559b51c587', 'aae58f49c4e7adb1']; context = [[55, 103], [54, 122], [13, 98], [11, 74], [36, 99], [51, 113], [3, 49], [3, 48], [14, 80], [39, 88], [2, 77], [10, 97], [64, 114], [60, 129], [0, 74], [8, 56]]; loss = 0.013412 low_pass_filter = 0.300
+Epoch 0: | | 35459/? [6:11:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35460; scene = ['31177e3090079870', '13e3f8416df0e4a5', '9e16686cff67cab1', '8dcb65a86df04796', '8b634dd80fe44d1d', '90c5b3052fd20e29', '2e3fba29b0ef9eb8', 'f7fc315b2c2ab371', '5cfa9a2995f6c3e5', '4ca19f3a5dea6391', '172722bb9e5e9e55', '824a064f8ab1cf0a', '806963c2d53faf94', 'e0c47b9d7af9ef13', '81954eeb7c50183d', 'ce04d2f0e461e2b6']; context = [[150, 234], [82, 136], [3, 89], [1, 83], [56, 110], [50, 130], [1, 58], [0, 82], [195, 262], [1, 74], [26, 80], [82, 134], [64, 110], [2, 51], [0, 46], [0, 53]]; loss = 0.013052 low_pass_filter = 0.300
+Epoch 0: | | 35469/? [6:11:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 35470; scene = ['ade2239a68449d67', '88920ba24ec53966', 'b3ca1d73c950e491', 'd1cf651349098789', 'a0182c984159affd', 'c33de464f5275ebc', '1289979759f39b33', '5cf4f1212887192b', 'eded4879ddc96512', 'c75f1772e4e25c60', '7832240d2e89f668', 'da96d2f330455022', '3da55d8ed062a216', '3da6288178379844', 'f4cf49d53bcac055', 'b870f909bd8c3adf']; context = [[5, 62], [0, 46], [72, 147], [90, 146], [12, 88], [7, 52], [100, 150], [16, 87], [13, 89], [16, 94], [0, 70], [97, 152], [17, 92], [55, 128], [7, 69], [33, 101]]; loss = 0.009912 low_pass_filter = 0.300
+Epoch 0: | | 35479/? [6:12:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 35480; scene = ['78b694e06349d124', '325ca089610a7226', '32074709c9de22b8', '6bf4232300f914f8', '9e233268774cce82', 'e660ad127a6d2fb6', '13ef0c5e67c66509', '2fbfa1122687cee0', '28e258b928a85bf2', '63cb35896a18c2ec', 'f855cfb131dbc473', '849d93ff7485318c', '19ad7cb2f354eac3', '08ecf91f3b646b39', '0b7b172af1b7eb14', '5d9afc849ddab12f']; context = [[0, 47], [20, 79], [170, 242], [63, 145], [7, 73], [3, 71], [5, 69], [31, 83], [12, 70], [36, 104], [17, 65], [0, 58], [27, 103], [9, 90], [1, 46], [10, 65]]; loss = 0.011536 low_pass_filter = 0.300
+Epoch 0: | | 35489/? [6:12:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 35490; scene = ['c90a6a1367ac2983', '6f20647f5a7ed154', '4832765fde4b5c76', 'db40e459c8979778', '1629b949594b36b5', '8a1d2b081aa7649e', 'b9c0beab80c28377', '6e0446b32be39b1f', 'c6246a94432e00c6', 'c84c4db184037309', '9a80121d71258b41', '319bd9ea90f25ea3', 'e93f2d8e5c3e2da3', '210ab3c1a9d655e5', '842edd33637dfc83', '878a9cd31f4ad9f6']; context = [[45, 94], [71, 131], [0, 84], [63, 108], [10, 55], [143, 229], [11, 62], [3, 59], [0, 47], [2, 47], [15, 62], [60, 150], [12, 87], [29, 119], [10, 65], [194, 267]]; loss = 0.014342 low_pass_filter = 0.300
+Epoch 0: | | 35499/? [6:12:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 35500; scene = ['06402de34cae0625', 'e384be9c2c62cf97', '73ea7bf916d4cf54', '15b1b5f770c5a68d', 'a29879173eef0f0b', 'e398b6b9b1e85cfa', 'bd1365b08ac111c9', 'ad041efb80fd1e04', '1971c9e877bd61a7', 'cce19f034d7e4c4d', '7ab9dfe904aa654e', '3d58488ee95d8166', 'f5d2a47acf44301c', '2423011083b08163', 'bb54ff5c4e4744cc', 'e14d381a2e1569b6']; context = [[10, 58], [5, 71], [3, 86], [174, 251], [64, 125], [29, 90], [1, 88], [44, 105], [0, 51], [16, 93], [3, 64], [48, 100], [6, 85], [90, 168], [3, 52], [8, 57]]; loss = 0.016761 low_pass_filter = 0.300
+Epoch 0: | | 35509/? [6:12:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 35510; scene = ['ddfa8d6604f845bb', '1d73b17a7d797570', '411e896fb7efd84b', '032522f3b8efd159', 'c9442f9e9ba380a9', '1dc1c0fad339b728', 'fd313850c5fc2620', '89ef5b7415c57162', 'abc78476b3ad43b2', '0813b29057ada72e', '853cea5a9bef7465', '5a9fae3ad84308a9', '0ec818f376461a5a', '59f90e73aecf538b', '9dc96e2d658c29a6', 'ec9fb1bb662b94f9']; context = [[9, 54], [161, 208], [11, 69], [58, 125], [40, 91], [18, 65], [47, 93], [35, 90], [0, 74], [10, 60], [1, 70], [49, 105], [21, 68], [9, 77], [3, 81], [14, 97]]; loss = 0.012743 low_pass_filter = 0.300
+Epoch 0: | | 35519/? [6:12:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 35520; scene = ['1b2d7766039aff75', '037e33fc2f7c87e2', '16d7c9cfa32403ae', 'b8d5a6fff9e568dc', 'c218ad8f47d1432b', '878ed649fe75b1e5', '7f81ce718f7eae1a', 'd8166d21d1ae6010', 'f238544d13896ab2', 'e13b53ae31b9e4cf', '7b693568763d4e27', '3ad78b51a2b9f04b', '74e5c65d8941abf4', '9eeade66ee1e65ad', 'c327e20a8d800e0d', '4623f80cdc298015']; context = [[76, 128], [36, 114], [15, 63], [9, 77], [1, 73], [19, 67], [170, 256], [81, 129], [18, 106], [64, 130], [185, 245], [15, 69], [35, 112], [198, 269], [27, 113], [11, 56]]; loss = 0.015499 low_pass_filter = 0.300
+Epoch 0: | | 35529/? [6:12:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35530; scene = ['16fccc4a79f5d064', 'b963ab9d26b8da09', 'e72d26f6d354ec4d', '6e6fcfeacf855c0a', '2df3d9757cc88582', '7bc459cf2cd73e6a', '29a5e76da0fe508e', 'f1970010dd9e1e01', '4f0e7c5b39da1ff1', 'ec15da6be3f66c37', 'fb2b05793115d09f', '78301054a4e470d3', '37d9966442c8f4a2', 'c9cc84f82b5182d9', '172d7e9dc2acbdce', 'a1b5883e8c97b20d']; context = [[1, 86], [0, 90], [5, 59], [211, 265], [0, 45], [2, 62], [2, 47], [16, 88], [91, 169], [0, 71], [9, 91], [67, 144], [47, 110], [146, 194], [1, 66], [14, 72]]; loss = 0.013209 low_pass_filter = 0.300
+Epoch 0: | | 35539/? [6:12:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 35540; scene = ['0653c0585c65ef9b', '9f710f017b023a0f', 'f30c1287b499b59f', '01fd1eb6cc528bf4', 'afcf166d35c344b9', '6b643ea7fd9a47f2', 'b19972ab772a18f4', '4de68fe45f2cf8da', '044269d00517f7d1', '2aa4d612442242f1', '9cf1069fdc94c6dc', 'a65f2600585e4c08', '4a87c4d3b16e0e4c', '3cd8c5f222a29e8c', '7e5067f243e163c2', '6045126dfa31e121']; context = [[48, 102], [157, 239], [0, 71], [0, 48], [8, 73], [12, 72], [13, 93], [71, 120], [10, 87], [23, 84], [10, 60], [31, 109], [10, 62], [4, 53], [44, 101], [35, 84]]; loss = 0.014763 low_pass_filter = 0.300
+Epoch 0: | | 35549/? [6:12:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 35550; scene = ['7c7abf86e91d1d1c', 'ff482cf78f80622e', 'cd77ec37b5e7c71f', '436084b37375841c', '68c3eca4d3b9ea9b', '55d50cd41993dcdd', 'a79f5277b84c117a', 'e3c8770275e00422', '2887b9c54db40b70', '823a3c23a9602137', '8af3efa7ecdf2ad9', '8996564583eba183', '31fa2bf7905f868b', 'dc985c4a47880777', '1eb7cc17021e16ff', 'ea02fbd66994f682']; context = [[36, 90], [11, 77], [10, 56], [35, 80], [40, 124], [0, 87], [35, 94], [71, 137], [15, 93], [8, 68], [10, 80], [1, 69], [188, 244], [6, 66], [34, 85], [5, 65]]; loss = 0.014506 low_pass_filter = 0.300
+Epoch 0: | | 35559/? [6:12:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 35560; scene = ['c2e8b1a8af7313ac', 'd4b5188ec6c11503', '93b7f5d8fd02fc85', '64771614a9c51005', 'c8fb17847692be86', '334e652bd91dd909', 'c85a062ef75da02d', '0f381299eb040cf5', '0045483c1473d6a7', 'bfce7c19f183716e', '1ae8f4c92ddd7e4c', 'a0b693679222ef04', 'bb4947e4d2edc1ac', 'f7208599a9ee6210', '99deeddd5980df06', 'f9ca9a22dab95c1d']; context = [[1, 51], [0, 48], [0, 63], [0, 88], [44, 115], [58, 116], [6, 65], [32, 112], [1, 63], [23, 85], [15, 74], [39, 98], [31, 94], [48, 135], [0, 45], [1, 71]]; loss = 0.014972 low_pass_filter = 0.300
+Epoch 0: | | 35569/? [6:13:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 35570; scene = ['56a781836435a5dc', 'e58f27f45d7cce3a', '6dae04908285c48b', 'd02f8cad1ec64f2c', 'e432d8c790cca366', 'b0b276251c83bb91', '5e924b8c9d7abf31', 'a89d49837b7303c5', '7c5f2a6693417896', 'af219727b1aece30', '1c1586cb9ecfc575', '59169909a46a7498', '7e8beb820f189792', 'b6d96ca117b8b380', '99cc6ca43546208b', 'c3ed60b37d9cc075']; context = [[16, 96], [56, 137], [12, 75], [12, 62], [78, 127], [48, 95], [47, 113], [55, 119], [164, 231], [3, 53], [9, 62], [129, 202], [11, 73], [20, 70], [2, 52], [15, 86]]; loss = 0.015771 low_pass_filter = 0.300
+Epoch 0: | | 35579/? [6:13:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 35580; scene = ['0ae58df051e6e444', 'adf6f584f6b81a71', '98d868340d6c40cd', 'afb2780ec2449b62', '8f243590d88e28db', '80b044471fd710b5', '8839e65c6f6bb394', 'b2c65f94460ad653', '48c2b63b452555af', 'aecfc6c8ebc6c15e', '34bd9723166c9978', 'ccb0540f2d49483c', '68303c5bb3b62706', '94323b4cd6a95a9a', '6de43fea1f9cef11', 'efedd66257d1adf0']; context = [[7, 55], [21, 86], [17, 76], [3, 54], [6, 86], [9, 68], [3, 64], [13, 102], [2, 56], [38, 89], [13, 67], [188, 248], [108, 185], [126, 179], [45, 118], [61, 134]]; loss = 0.011012 low_pass_filter = 0.300
+Epoch 0: | | 35589/? [6:13:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 35590; scene = ['eb5abfd252e9e5de', '6331b95bb2f8f587', 'bc6e849f31caa3c4', '950cad2bcc09d5ff', 'e44bfee2e76cc905', 'bebb100714c996bb', 'ef5ccaf64380143a', '185f52423e3db8b6', '61deee6e086b0b4f', 'bee0ba753ec13d46', '432412e05ac309ba', 'da65394ba9286a06', 'c7b3aa2e12059b7a', 'd5f789c944a6d3b7', '752724fcd4a2061f', '4dafa4ee650d16cf']; context = [[155, 206], [9, 56], [2, 52], [2, 69], [61, 132], [5, 82], [105, 167], [36, 88], [29, 83], [1, 84], [58, 113], [21, 104], [2, 49], [54, 102], [181, 242], [105, 161]]; loss = 0.016280 low_pass_filter = 0.300
+Epoch 0: | | 35599/? [6:13:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 35600; scene = ['082df11768924c7e', 'ff2bd6b594638b0e', 'afe7352745af8df5', '4ac72b0e9795380c', 'a3e389b0c33b31cb', 'cdbb5456c4a6c130', 'c3a695650753db89', '553c15ccd8a7c665', 'afc302429757e7af', '3fbe4b9b2504b6ab', '454233f75870b574', '2f6509d6f7450218', '530d3c01ce18ca54', '07f707119c3ff2e2', '028a61ca0ddeae82', '23bdfc2b392ecc77']; context = [[165, 243], [79, 127], [8, 61], [9, 99], [16, 77], [208, 267], [13, 65], [2, 90], [177, 240], [71, 121], [9, 55], [17, 62], [46, 91], [4, 72], [0, 84], [153, 216]]; loss = 0.015754 low_pass_filter = 0.300
+Epoch 0: | | 35609/? [6:13:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 35610; scene = ['9b72c44a6343236a', '25aca069a7b5ad8c', '3f40a05deb57517b', '655c545268708bf3', '4a609368e3b1a0e2', '09a6ab6ebfa53654', '2e942afcd1334f69', 'df91064f4d75da1a', 'abb64631476a51f6', '4f3be7403390f7e1', '0b54a4290140f2da', 'eeb23e3b6cd710e4', 'dc985c4a47880777', '436084b37375841c', 'ff482cf78f80622e', '8996564583eba183']; context = [[15, 75], [14, 92], [19, 109], [25, 103], [8, 72], [10, 73], [1, 51], [82, 134], [110, 177], [7, 83], [130, 217], [70, 136], [20, 70], [100, 152], [1, 63], [5, 69]]; loss = 0.013768 low_pass_filter = 0.300
+Epoch 0: | | 35619/? [6:13:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 35620; scene = ['3c2046c344fb8daa', '02b3569a04d42b1e', '8b09c84f1ccbb970', 'b30db99f009bdb92', 'd244e00302839aa1', '409f79107bf87d9a', 'c0d7c010544c5256', 'a8b64d6025627de2', '0b9517e1c9fa61dd', 'ab9bdef51c74535a', 'eff77869db95b3f3', '18c7bd9ae067b8a1', 'bdc8166f45caee7f', 'f274e9ed82024464', '563d7aae195245a3', '094d184557fa6d67']; context = [[6, 70], [6, 67], [21, 84], [12, 81], [12, 90], [53, 112], [2, 83], [60, 147], [31, 81], [8, 95], [30, 98], [26, 109], [105, 161], [24, 97], [3, 53], [32, 100]]; loss = 0.015895 low_pass_filter = 0.300
+Epoch 0: | | 35629/? [6:13:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 35630; scene = ['c1cbcf2db1f8691b', '511d24d81e925e48', '01d5a6ebd573b4ae', '1b783d0063d6aba3', 'c8cc70f1e96adecb', 'f4fce4a624da37d9', 'aa15562d0b9fc205', 'eeb7dada070820d3', 'ccc8bc2c0a1afe2b', '3921f3d86b2cacf0', '302517c267de5d24', 'ffa59b433b2648f7', '4898c8db920b9ac6', '7472d8cddb4b57f2', '683ba9cf930d8cac', 'e8de8997a5345b90']; context = [[133, 194], [37, 96], [0, 69], [14, 103], [193, 253], [0, 63], [31, 119], [16, 102], [7, 64], [9, 84], [157, 212], [165, 232], [1, 84], [15, 74], [177, 267], [14, 74]]; loss = 0.014903 low_pass_filter = 0.300
+Epoch 0: | | 35639/? [6:13:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 35640; scene = ['a8308ce726296b25', 'f53a324e7aab70d3', '6aa0dcada008156c', 'a8c36697aa4bea80', 'ad4b81bb89bc6525', '26cbeb9c90a8c39a', 'ee89c7384cdb8971', '9d6350a3fac739f0', 'adf73db30b5dc7ff', 'fe85b3be4adb42aa', 'de95779cdbeaa19a', '3602926587799c64', '785b34dd2c077fad', '776f9105ae37722c', '0e1d3e59eb57c68a', 'd516ec3d191a3e16']; context = [[7, 86], [4, 51], [4, 70], [3, 59], [2, 58], [3, 56], [20, 69], [2, 54], [86, 176], [5, 52], [17, 104], [5, 56], [27, 91], [112, 163], [45, 100], [133, 181]]; loss = 0.014280 low_pass_filter = 0.300
+Epoch 0: | | 35649/? [6:13:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 35650; scene = ['ef380960d4d8a206', '56ce9c5595c74ce5', '615d5da2368e312c', '5a661bc2c6c62f59', '93f64e2b3f286f45', '33087de9d002ffd0', '07891f56f57ac39d', 'e83f9a06c24e0a28', '3ec462170f378b3f', '69c9010e3d4209bc', '91effcea642ad897', '0ee698ea63df4fbd', 'e3e1426981836ca9', '549110453313554f', '491b6e80ec6e3f6f', 'f16e17b3760c6621']; context = [[35, 93], [11, 56], [24, 86], [101, 177], [33, 80], [1, 46], [123, 176], [50, 110], [17, 67], [31, 81], [11, 56], [0, 47], [24, 71], [26, 83], [53, 108], [73, 139]]; loss = 0.014315 low_pass_filter = 0.300
+Epoch 0: | | 35659/? [6:13:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 35660; scene = ['3650acf4e144d660', '86c8c9b0a6200b4a', '061e2dfaf96677fb', '1ff50e90731cd85d', '6bbc8e2718708902', 'e66e9d07a140e364', '501a6f4480ce533e', '7d70798a0178383e', '54dd2fecd7c5469f', 'c9a41c071845a38a', 'cc095b6f7aaeff1f', '75d7982a76052a50', '5c6eb6a2caa8b53c', '23fdcf065cab001a', '7788c075e21e862d', '4f768e705a9c812b']; context = [[115, 179], [9, 61], [7, 78], [104, 164], [7, 64], [9, 67], [10, 96], [4, 92], [0, 48], [94, 160], [2, 65], [27, 85], [19, 78], [6, 77], [3, 76], [12, 63]]; loss = 0.017240 low_pass_filter = 0.300
+Epoch 0: | | 35669/? [6:14:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 35670; scene = ['5a0599afb3968bf7', 'a6bb57de6591fc6a', '6505aa5e0c26571a', 'a88722d900d57a48', 'd3df0f83d9d67aee', '3a956584819acc7f', '3b64aa64e8f04465', '7980d31b18da69a2', 'd6f4a941a42c6eac', '82ac4e44bae63290', '1197bc73c78246d6', 'd542caabb42c9cf2', '3720cb96eac3888f', 'e32e9c0a534ab52c', '5800786e360d4dbc', 'e34083fb85b25acb']; context = [[171, 243], [116, 161], [9, 78], [134, 220], [6, 77], [44, 106], [23, 107], [2, 69], [3, 72], [3, 93], [73, 126], [13, 71], [55, 108], [53, 115], [2, 65], [7, 67]]; loss = 0.015947 low_pass_filter = 0.300
+Epoch 0: | | 35679/? [6:14:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 35680; scene = ['81d8259daac951d0', 'cfed67976b653755', 'fc50b744d90c9b91', '92947c334b47ecb3', 'b423d351d9f5120b', '1edf29242e8ded7b', '27f9efd9084e01c2', 'bf214237d09ebdcc', 'f73e0f0762ba6c4e', 'e55163404861e5ea', 'b91893366309b048', '560f551228f041d8', 'b34f9b04ada90787', '8f643d0ee45c3362', '327ef8c556cdeb80', '506dc15e4c37a324']; context = [[0, 45], [145, 212], [65, 132], [51, 99], [17, 103], [81, 164], [18, 77], [3, 81], [33, 102], [2, 47], [3, 89], [118, 202], [4, 59], [18, 71], [12, 72], [0, 50]]; loss = 0.015381 low_pass_filter = 0.300
+Epoch 0: | | 35689/? [6:14:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 35690; scene = ['91a724f60d697eff', 'c279649ebcdbd4ac', '9a4c315e3e6350fc', '903133b737740df6', '5e70f8dc0da2945f', '23d5841286667eba', '43668ae8f0e517be', '4b7302601da9f913', '774d16d7b7d3ab87', 'e1b0771ca0e3df03', 'a983e4858e5022e2', '191f33c96812c34d', '6f8ab470e569eced', 'a30a83cc257714b2', '4886ce15c821b292', '65e7cc46a70be3c6']; context = [[43, 112], [9, 68], [71, 126], [13, 76], [18, 88], [80, 156], [22, 80], [88, 158], [11, 93], [38, 88], [21, 76], [3, 89], [0, 47], [11, 94], [23, 74], [42, 88]]; loss = 0.012778 low_pass_filter = 0.300
+Epoch 0: | | 35699/? [6:14:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 35700; scene = ['f99bc992403196a2', 'dd51e3825fb8400a', '9167e2ac51454edb', 'a03503eb22f64a17', '723db63d24c84d1d', 'e31486facd91f4f5', 'eb5d599c32500465', 'a8dd4730a65f88fd', 'adff1244e7025d77', '8032cb2f4ac9e342', 'dd524a4305e778c8', '12503cac61ce326e', 'f1bd032b9dbc3f7f', '2abb97f6db84d481', 'e46623a7d46b50d6', '4daf1a5b162d8f4f']; context = [[0, 48], [20, 90], [83, 136], [4, 59], [22, 77], [38, 88], [23, 73], [12, 58], [95, 157], [28, 96], [63, 119], [134, 191], [2, 61], [87, 141], [72, 136], [23, 87]]; loss = 0.012864 low_pass_filter = 0.300
+Epoch 0: | | 35709/? [6:14:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 35710; scene = ['ed491b6b382a27dd', '8c8f544747e05e5d', '67220c977a681ac0', '8c49fed3b7cbf311', 'e960b51a97283205', '2e6b110a34be80f6', '263171a60cd3c274', 'd0163ac6077217b4', 'e8bacc515eee9906', '7e17d1e974838e4f', '9af60e3183731e2b', 'eb0b3196ffb44444', '7aa0b1804b14144b', '8e6dd682ca06c962', 'db21d3ab55c463d4', '7dc17d33bc5e889c']; context = [[19, 104], [53, 105], [96, 149], [5, 73], [5, 56], [23, 77], [119, 173], [24, 93], [8, 59], [91, 179], [74, 140], [3, 66], [78, 138], [2, 52], [30, 103], [4, 51]]; loss = 0.016917 low_pass_filter = 0.300
+Epoch 0: | | 35719/? [6:14:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 35720; scene = ['2bba4f98ea96daea', '84157bfab55e3573', '02843207f75c20d3', '5f5580b46c66d899', '0fa6bc2796cbba41', '8e7cc5c956a4cf95', 'de306378c1dad116', 'b5f78dd53b74bdc1', '253496cfbf0e2b35', '53dfd8ccdd48b895', 'cab1c72e246a13b4', '65cdcbcb16f0ebe5', 'db0004e2e6cedd40', 'b35b0b431fab2105', 'db5ae2eee3e3cdb1', '9ade5b1dc78259b9']; context = [[20, 84], [20, 100], [2, 62], [114, 160], [1, 62], [22, 68], [33, 91], [1, 71], [22, 75], [1, 56], [82, 132], [17, 95], [17, 104], [47, 132], [1, 59], [1, 73]]; loss = 0.013452 low_pass_filter = 0.300
+Epoch 0: | | 35729/? [6:14:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 35730; scene = ['3d7f4990beac457c', '8367ed09bab2a92d', '30e8ddb0a05fbeb8', 'f8432adea5a40169', '2ad704f011637e4b', 'ab040c86608fb8cd', '7340966e764f81b0', 'e0960e2867fbec8a', '55fb1bb001195c2e', '3e97a9d8a39cda43', 'c8d9b5cf9ebb5419', 'a074c7e52538fe27', '03f7460f8917b6d5', '2fad8eea9cc3616f', 'becad6404d25b312', 'bf8bccba0669c23d']; context = [[0, 68], [31, 77], [199, 256], [8, 65], [4, 51], [15, 75], [4, 64], [70, 130], [1, 63], [1, 82], [17, 82], [3, 81], [26, 80], [27, 87], [24, 111], [8, 85]]; loss = 0.016092 low_pass_filter = 0.300
+Epoch 0: | | 35739/? [6:14:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 35740; scene = ['611e03caccdbfcb2', '037e425a971919a5', 'fcb068262633d1ff', '5fa2cf11d4aa494b', 'bd923a02cc463d15', '65b5fd505bc4b70c', '04b14af3427991e2', '6b083a9908dfc5b2', 'd6efb4f060886f48', '90b20ecaad26e805', 'f529fc8ad3a25e7a', 'f3824daeea5f53ac', 'b96a5af9eca52dca', '3d66f70770dd1608', '7481a8b8a9b63413', '9dafdcf2879f2391']; context = [[2, 50], [4, 61], [210, 263], [6, 73], [52, 117], [220, 277], [117, 173], [6, 61], [32, 85], [13, 83], [82, 148], [7, 89], [0, 67], [12, 62], [67, 128], [10, 63]]; loss = 0.012027 low_pass_filter = 0.300
+Epoch 0: | | 35749/? [6:14:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 35750; scene = ['dcfbbd4796e0d887', 'fb56af60d6f44825', '41868518745c4b75', 'fc15fd0a7d1bd1b2', '22d8382cf0164976', '4b6452c634b79f57', 'a6d963c1f7142aa5', '177fe99843448ee3', '4617ef7936485ffa', 'c5536f755d325407', 'c2194ca7981206d5', 'a5bf321c5af894f2', '7649a0332a1928f7', 'dac0904884bc1e6e', '4780bc2c45a43a89', 'c54533d824d476be']; context = [[7, 62], [126, 199], [150, 206], [2, 82], [73, 143], [12, 68], [22, 78], [130, 181], [26, 82], [39, 121], [0, 59], [9, 78], [29, 109], [189, 273], [13, 84], [7, 54]]; loss = 0.010975 low_pass_filter = 0.300
+Epoch 0: | | 35759/? [6:15:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 35760; scene = ['12879245713d8124', '81df63a4ecea570a', '08c9b193a605a746', 'a20b4125ede06429', '1eb163cdf1a999dc', '201e14c1395bb7e7', '5198bbd75640b179', '68d9927e6218be67', 'e5aeb6cc73e1ef60', '04d184f9c745910a', '193b94e9f655def6', 'cf8a199c0bcfdc29', '41591bd73f51c3c8', 'edefcb5a942060c9', '191069311543b436', '6f61d916513afe2c']; context = [[8, 73], [53, 118], [24, 109], [36, 93], [13, 64], [5, 89], [3, 66], [74, 147], [3, 80], [12, 96], [1, 64], [12, 74], [0, 58], [17, 88], [36, 105], [222, 267]]; loss = 0.014454 low_pass_filter = 0.300
+Epoch 0: | | 35769/? [6:15:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.60, train/active_min_children_step=1.0train step 35770; scene = ['3a816121b5cb580a', 'c37300ffacddc862', 'fe221061f650ccca', 'ff3f8f09832218b0', '9a55eb0408491b0d', 'cb1fed1a146422cb', 'e79688995a05442e', '797dcddca16ff818', '730677b6014e3f75', '796edf2c7d66e362', 'f65deaed7efef810', 'f7da35b057f181e4', '9408f88181096e42', '17d52b9ef4033052', '62ebc5baa99c21d0', '508e362a797583d5']; context = [[1, 85], [84, 153], [155, 227], [12, 58], [33, 104], [4, 83], [75, 137], [22, 85], [9, 84], [6, 74], [5, 55], [5, 63], [121, 185], [0, 45], [3, 50], [21, 75]]; loss = 0.013536 low_pass_filter = 0.300
+Epoch 0: | | 35779/? [6:15:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35780; scene = ['4dab38f9654b55d5', '937b13bf6372d464', 'fc964ab5439155e6', '9619375d2bef132d', '96fcc6b5f575c36a', '0bcbfc72bbc9cf7a', 'c2a910981ea58dd6', '131a064a5ab68a39', '2c4bf4c81f761386', '103792bf6a24849b', '154ffc3f70fe9019', 'ac030ef563710103', '14464e9cd85e72bd', 'fbc2ebad8df77f1f', '00e735135acbf78d', '3b9405a5ee28fb45']; context = [[27, 75], [54, 138], [0, 52], [0, 66], [0, 75], [134, 214], [5, 68], [4, 53], [212, 261], [32, 80], [38, 102], [76, 147], [2, 80], [28, 83], [149, 219], [13, 82]]; loss = 0.011095 low_pass_filter = 0.300
+Epoch 0: | | 35789/? [6:15:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 35790; scene = ['73c5ddec7618bb6e', '463a721c706cb237', '4610410bd5d02055', '1f9b63de7df2e5fd', '1b291a96c2089720', 'c9e62120851113bd', 'b7704dd25774b036', '70b37c0dad260cf4', 'd524d2bb80903cfc', '6eb3006004ae5683', '30aacaef7042cefd', '159aad0364867ef5', '60fdd9256170480b', 'c9ac85b95f234c40', '07dcbe8c5f9d28f5', '430a2156b3d644ef']; context = [[117, 184], [22, 98], [200, 247], [2, 89], [4, 79], [10, 85], [43, 105], [73, 133], [28, 74], [2, 71], [2, 62], [4, 54], [194, 258], [2, 55], [52, 118], [0, 45]]; loss = 0.015680 low_pass_filter = 0.300
+Epoch 0: | | 35799/? [6:15:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 35800; scene = ['d8f03a844bbdc082', '6bf3cb7da39daba7', '8d19d941ce56a547', '46ab911d11ef310a', 'a829c516eb0e8e13', 'af241626c1a84f99', 'ac0880525e3d3c59', '0d24a9841d825fe5', 'f19c1b266757f967', '56ecb1658ea79417', 'b2d281a2a3be0076', '9b019ad156230e3d', '6cbd015b79bdb917', 'f648f8f5c2704677', '89ce6d17db6c000e', 'a6f7412a3eeb2673']; context = [[18, 73], [68, 140], [141, 213], [0, 46], [29, 91], [0, 56], [11, 73], [45, 103], [12, 84], [35, 95], [119, 165], [15, 100], [2, 64], [86, 165], [4, 62], [16, 85]]; loss = 0.013292 low_pass_filter = 0.300
+Epoch 0: | | 35809/? [6:15:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 35810; scene = ['f1ac7db52ee3f99c', 'a99bff09274b99f7', 'bb89152f133e38f3', 'ed371e69e6998407', 'ac8956f5b8d023ef', 'e47d7adfb65d9ea7', '488095edc47f7875', '3e3ac6301a680721', '64b6574079bdfc05', 'f4b4786cbda19a25', '11ae64d01ea7703d', 'a0e908b9e7ee351b', '26012b01e6882785', 'fd2c1271ac4794c7', '33228960a7ed2afd', '189844bd4018f1f8']; context = [[4, 70], [7, 89], [13, 68], [12, 76], [0, 48], [28, 110], [4, 72], [176, 237], [48, 115], [5, 53], [1, 46], [0, 45], [11, 67], [73, 121], [18, 64], [21, 77]]; loss = 0.016040 low_pass_filter = 0.300
+Epoch 0: | | 35819/? [6:15:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 35820; scene = ['ea5def9e91076788', 'ed597ec28cba325b', 'b698fa440448d445', '9c478d19d0174e9b', '8c7337bbad4004de', '76a7e3baa458cb1c', '2a7814a09f94b1ef', '319409c5232bd5f8', '3f0cc5e7b0d45c74', 'fb92ccfe3044b916', '85a9d0916db92759', '41ce6f414d555693', '82cee63e1680fa68', '1c7e4528865c2f27', 'b2a3ae17cd8f611e', 'e19012d407814425']; context = [[2, 59], [29, 76], [39, 116], [146, 191], [81, 138], [0, 79], [5, 50], [24, 109], [75, 126], [42, 108], [21, 77], [2, 64], [57, 105], [2, 70], [0, 78], [7, 77]]; loss = 0.012810 low_pass_filter = 0.300
+Epoch 0: | | 35829/? [6:15:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 35830; scene = ['e529bf6002213923', '94c8f1c6ee33001c', '7a39bd58ec1d2ccc', '78439ac06504df45', 'e452811140e730af', '057c338b658d2c6b', 'ddc351e8ca2cd299', 'ba5f37a10c6dd859', '3d4952a1e8289a7f', 'c54a9bc3c2a962cd', '6b503257ae05df64', '936cfb94d0fa2d95', 'fc46fa9bcb31d151', 'c177284557cac835', '67c964e4dc73f102', 'af71d7a4edf61c31']; context = [[33, 121], [0, 76], [16, 82], [39, 101], [2, 54], [13, 83], [86, 167], [23, 78], [12, 69], [83, 162], [24, 90], [16, 61], [188, 251], [94, 140], [124, 202], [34, 99]]; loss = 0.012929 low_pass_filter = 0.300
+Epoch 0: | | 35839/? [6:15:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 35840; scene = ['70cb3fa7ba32d9a3', 'e8201a41f5af1b50', '072f50455d057a0c', '388a0ff44b0bd8fe', '87caa7fabb8a269d', 'a8cf212b0fb057d6', 'f587a7ebbb97a612', '462b9d3980d9db1b', 'ae11f1d930436d1c', '1e793ddcca585feb', '24c12e3920d415ed', 'a64b39d2648aec13', '9edf97202c87fd31', '61d2fa87a0e9d621', '9eb9c06f7c377ce6', 'af2dd5d2c542677d']; context = [[34, 94], [103, 168], [1, 58], [4, 88], [6, 57], [6, 70], [5, 64], [11, 72], [56, 137], [33, 82], [42, 118], [27, 77], [21, 72], [17, 107], [20, 80], [7, 70]]; loss = 0.014660 low_pass_filter = 0.300
+Epoch 0: | | 35849/? [6:15:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 35850; scene = ['a2f5237c4ff5cc75', 'f9af1a254b731d07', '46f6304d4b29c976', '3e8c9b739d197f71', '34854bce89063360', '275f27cc4db7568b', '1899229c3e665767', 'f38b6ef9c87feab9', '2fc200d87252fbbd', '531bf71894e7b679', '2a63c14fcba5cc7b', '2da35e624f4b2008', 'b1a6fe3f8ec01571', 'e76013601fe2aa88', '8bd5a088e2aa2ddb', '86108e7bf29ab2dc']; context = [[167, 244], [68, 126], [13, 102], [13, 77], [38, 107], [18, 93], [2, 59], [11, 90], [25, 86], [23, 109], [6, 55], [2, 63], [66, 133], [38, 107], [113, 162], [64, 121]]; loss = 0.015473 low_pass_filter = 0.300
+Epoch 0: | | 35859/? [6:16:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 35860; scene = ['ec86e6990fcd3023', '777a625e551c0354', '5329c1001f9e5c39', '9e2278190fe8af7b', '3dbffcf222b91c46', '169d58442c7abe80', 'fda3cf8f3c1994fc', '629ee0f8a9bb570f', '8569d8fe098bf3e7', 'dd9b2201803468d8', '1019dbbdb880e727', 'eaaced3e184a681d', 'c1ddddc26c9fbfb1', 'ad914bf0bb25ea5c', '9f6d6c7711ee5e34', 'c013baba88f68415']; context = [[6, 89], [25, 73], [13, 64], [1, 46], [83, 172], [23, 107], [29, 115], [33, 90], [113, 198], [52, 97], [9, 70], [84, 173], [14, 78], [48, 112], [96, 151], [8, 67]]; loss = 0.015174 low_pass_filter = 0.300
+Epoch 0: | | 35869/? [6:16:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 35870; scene = ['f18f14afd3c487e3', '030e840a3568e0b6', 'abd801b64004241b', '24e2974500224bda', '3a57a0567bc87e47', '38d6a96206f7e229', 'aa8773d8105e6be2', '0bcb2d52be15ed33', 'e57b8cabdf4774dd', '68b7b35d7044c30a', '909bf59987fe6c80', '5bb7220d29b597a2', '7751ffa57eebf919', 'a233524d226cfffa', 'c64b9e92d595242d', '8050b71974f850f6']; context = [[14, 63], [32, 118], [41, 125], [41, 86], [95, 163], [3, 74], [4, 85], [54, 141], [98, 145], [14, 80], [99, 155], [44, 126], [95, 142], [2, 53], [22, 93], [29, 87]]; loss = 0.013645 low_pass_filter = 0.300
+Epoch 0: | | 35879/? [6:16:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 35880; scene = ['c7c587ce549f15f1', '918fd60b6013998f', 'c596a8ad95d20b94', '6e19ab45a3982600', 'e9b2255a80860d7e', '6ace6bd073bf790e', 'c5324b22ede53808', '69b274f360215d7f', '5330277d65425975', '49409514f8f79c84', '43e59b21a3805c73', 'c3d6a82b60bdfc35', '07790cb4884e1502', 'e20f3440223cbde1', '12e85fb6e140ee85', 'd83580d64d62f887']; context = [[13, 66], [42, 123], [92, 164], [23, 98], [78, 125], [7, 79], [11, 69], [23, 109], [41, 104], [57, 138], [20, 82], [5, 50], [19, 82], [28, 99], [65, 116], [29, 84]]; loss = 0.014818 low_pass_filter = 0.300
+Epoch 0: | | 35889/? [6:16:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 35890; scene = ['606edf61ee190bb9', 'a888e37fa9a444a3', 'b7dc9efa95abd8af', '9ca80f3ebf759df0', '241096ca94ccb259', '882fdfbe720a3236', 'b45e47d231088428', 'd81116dc8c96547e', 'f24b2611ba45a2cf', 'd62c060a62da110e', 'bf0755be50798d45', 'b74cd30ef141705d', 'ff1a64808d8981a4', 'c81095ff7cc7034b', 'ffda743d376dcde8', '2ed8d2b8c1159862']; context = [[0, 53], [129, 215], [16, 63], [14, 67], [125, 208], [223, 278], [8, 63], [47, 97], [86, 168], [0, 45], [19, 79], [0, 85], [3, 85], [13, 63], [19, 96], [34, 80]]; loss = 0.012881 low_pass_filter = 0.300
+Epoch 0: | | 35899/? [6:16:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 35900; scene = ['758f222b19251a2f', '046d4c41a7aacb4f', '7dfa099616efca7e', 'a4ee84d202934a78', '5df05fce72401964', '2b1128df87dfdc20', '50235e0c69e39c09', 'acd9930567987388', '6d5a54c1e1c29840', 'b5ebb5d4888d4ec3', 'ecb9a4abac144ddf', '02fa87fdec616cea', '1c95023e3a5c0dc2', 'bdae62678f43c878', 'b2efd0eca9cf3f32', '4ad4aad724322750']; context = [[113, 185], [54, 113], [2, 52], [0, 87], [95, 169], [38, 127], [0, 50], [11, 60], [54, 127], [63, 115], [9, 57], [124, 185], [88, 138], [71, 145], [93, 165], [17, 95]]; loss = 0.013387 low_pass_filter = 0.300
+Epoch 0: | | 35909/? [6:16:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 35910; scene = ['a3e5e6b0475c232d', 'd82ee5a0e75594a2', '1d4fd7ebd76ae5c8', 'f2af153a34cd6c91', 'b747e790afd098fa', '76fbf387304b28f9', '954740f1e0accd65', '1d65751b99eee865', '3c01da00b49f3257', 'c15a92c8117c7c9e', '038d1a1c131f4587', 'af7679ac2da6660d', '5b72ec542379ceb3', '51fe3513ae878161', '006ce7c81b5027e7', '31f4d27ca059d335']; context = [[16, 65], [1, 56], [94, 181], [11, 91], [79, 130], [86, 165], [135, 217], [31, 107], [100, 180], [3, 74], [52, 131], [50, 101], [1, 89], [4, 64], [21, 84], [5, 75]]; loss = 0.015064 low_pass_filter = 0.300
+Epoch 0: | | 35919/? [6:16:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 35920; scene = ['4418324bf9641975', '214d64d6c28f8e13', '8aefbf6af9a0effd', '996067d4347858a1', '2182b76a33fef09f', '0a444fac578101f8', 'c3eb1f75e218738d', 'ac8718c9d815099f', '79af74ea69a9c396', 'd6624aac6774c6cf', 'c1aacfd63c3b9795', 'c21970a30701dfd5', 'd1543ce8abd3294c', 'd9069c7fde700fae', 'b0acc39faf78464a', '9e591049019c2996']; context = [[13, 63], [2, 64], [2, 50], [17, 106], [20, 90], [72, 139], [25, 110], [6, 52], [11, 93], [95, 167], [0, 47], [114, 160], [29, 88], [61, 127], [56, 111], [78, 147]]; loss = 0.012935 low_pass_filter = 0.300
+Epoch 0: | | 35929/? [6:16:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 35930; scene = ['a791ecc75f3cc01b', 'c4047fb0b106ad09', 'b78e4f69840305e4', '3c5f2dae4dc0f519', '339a758ecbfef6e8', '61eea10a6fb8003a', 'f558b34b75640e97', 'fa8395ad6daeedbe', 'e608b09849bbfdfc', '2c81ce2ce08c8139', '43c1b5049f3bdd3a', 'd127eca9a941e6a5', '4378fb086ee08554', 'eb2c8c4bc994ddb6', 'f2775b0ef035c011', 'ff2dc0e3988dc857']; context = [[15, 62], [2, 65], [12, 94], [11, 89], [37, 91], [22, 75], [96, 164], [4, 58], [9, 93], [45, 135], [2, 57], [37, 83], [90, 165], [5, 77], [99, 158], [0, 58]]; loss = 0.013701 low_pass_filter = 0.300
+Epoch 0: | | 35939/? [6:16:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 35940; scene = ['6743150e9200508a', 'b934bb1208684110', 'a375d11b538e65a2', '05edd0204e085deb', '38ee5223789f3393', '0c4a1ffd5058289a', 'ee7e466e2abafbd8', '48201de72ef30c1f', '282554ad95f2111f', '595b5d5487aa350c', '70c502d0b9e6f1bf', '971c9593e36dae15', 'f8b94108d89ec159', '4e0c4c3f89aa70b4', 'c157b53c9746c4a2', '7b256ad1bcd23ed7']; context = [[108, 174], [4, 76], [15, 96], [14, 74], [2, 88], [20, 95], [3, 55], [19, 71], [175, 220], [69, 150], [11, 70], [66, 127], [63, 119], [30, 88], [3, 81], [0, 73]]; loss = 0.017393 low_pass_filter = 0.300
+Epoch 0: | | 35949/? [6:17:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 35950; scene = ['81ad54d5ffb317b8', '7932caa22a150283', 'c5d54a42aa4c3767', '8e043c9f1c809d9f', 'bc825dce25ce4f41', '573ab8186ca52849', 'f05ae52b3cfc9292', '12fee7f1978d52f1', 'c2838c7e3abcd62f', '5c51f952f16de104', '42c80ebf2f08c5a1', '075eae6b9afc3d7d', '4acf06353e51ea6d', '98302f005c2b935a', '855601fdef75bb42', '23137b92a3535ce1']; context = [[68, 136], [153, 211], [34, 100], [14, 90], [20, 94], [7, 54], [67, 133], [4, 63], [82, 137], [0, 53], [14, 102], [14, 64], [55, 122], [7, 87], [0, 61], [1, 57]]; loss = 0.015377 low_pass_filter = 0.300
+Epoch 0: | | 35959/? [6:17:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 35960; scene = ['7ee718d86a9c2dac', 'cb35d85b6c390d4c', '1d1f05501d8c5835', 'a0efa912113a19b9', '902df386b320e9d8', '0db0cf46906f5646', '42111198df1efaea', 'abaab194e270c8ab', 'bd234e44bcb453b6', 'f4e994c72a801e39', 'ea8077e91740175b', 'c805c67b4344d5bf', '5b66b0f0c61669e0', '06b30bfd5d41942e', 'e80b6d7059646f60', 'f02a3456a8982ac0']; context = [[58, 136], [19, 88], [159, 234], [15, 71], [27, 96], [6, 69], [18, 85], [41, 102], [71, 136], [2, 79], [7, 89], [19, 104], [18, 73], [47, 100], [8, 63], [108, 197]]; loss = 0.015170 low_pass_filter = 0.300
+Epoch 0: | | 35969/? [6:17:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 35970; scene = ['f84b1a9902b54c5f', '5e0599134dcfaeea', 'a237ef616a3b03f5', '726929198a0059c6', '32499509bb075446', 'dc691056764fa534', '02a0ccd1bd1a7696', 'ad479fe612717b83', '2a13f41268478afa', 'c7de48f091ef8f81', 'a98853b11a34730c', '8cc038af90759ae9', '3185573332be0be8', '5241930c1d2f7ed5', '8b6551bb28273423', '53857414accb7b44']; context = [[0, 74], [55, 125], [4, 59], [13, 101], [143, 224], [22, 79], [145, 224], [85, 138], [24, 84], [28, 115], [2, 67], [7, 78], [32, 107], [126, 199], [17, 95], [6, 92]]; loss = 0.015558 low_pass_filter = 0.300
+Epoch 0: | | 35979/? [6:17:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 35980; scene = ['385f7d59803b3a84', '86287d82fb124128', 'ba79a139b77ce96f', '70715befaeea6c30', 'b61a61a34fbd3c37', '2cf86dbb02e3fc32', '20af8a91f51f8f18', '4056bb826aef8ade', 'c24cd890c317646f', '1ed59e500c23b35e', 'b01b02b039ccead2', 'f681d7308a1ead54', '4d5b2562aee290ed', 'b69a80c26bec4e2e', 'b170005fbe8a6046', '9bc34cb6ae2f87b3']; context = [[32, 80], [9, 71], [0, 76], [30, 108], [0, 45], [39, 109], [156, 239], [71, 138], [72, 128], [7, 56], [70, 126], [170, 222], [37, 113], [17, 92], [6, 86], [1, 71]]; loss = 0.015461 low_pass_filter = 0.300
+Epoch 0: | | 35989/? [6:17:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 35990; scene = ['2a5b8373cd153193', '40453913f3e6c90c', '0cd0baf1a9e3847a', '5f5f690da0e4ecbb', 'b5d2cca01af50b85', '9a92a4070785e9b7', 'd6956a508357c234', '3ab97fdbbcc240e0', '5629513f08256634', 'dc1d3b4c937283cd', 'ea21efe547c57ccf', '6c3c8af4da8a4278', '1944afb329556c51', 'e033e4b75d4f8b5e', '85082ee2008df25c', 'e67c69743b27b7f4']; context = [[3, 71], [36, 84], [14, 96], [7, 89], [10, 59], [86, 165], [96, 163], [0, 73], [43, 99], [152, 198], [15, 80], [13, 61], [20, 108], [5, 89], [16, 75], [3, 60]]; loss = 0.014891 low_pass_filter = 0.300
+Epoch 0: | | 35999/? [6:17:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36000; scene = ['d0dbeb1f49cf3a94', 'f031d05503fbf499', 'c2057db756174225', 'b8957b5a607ba2f2', '83f1586e36912120', '554eec4e62ff08ff', '01e56cb442a2cb05', '97e72d8bd82aa998', '33ba82bd47909e3b', 'd08843a89e7375a6', '8c0b0087bd94017f', 'b393264d3027ec89', '627d2275dda31d2e', '0f81cd5e8b04bc00', '0e926d6680d8942e', '9d04b522ad2fcf26']; context = [[1, 59], [108, 173], [9, 59], [2, 67], [2, 85], [1, 63], [70, 148], [0, 66], [18, 87], [9, 60], [44, 99], [77, 131], [14, 65], [0, 52], [112, 182], [11, 92]]; loss = 0.012787 low_pass_filter = 0.300
+Epoch 0: | | 36000/? [6:17:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0validation step 36000; scene = ['33baf3e18e5d7256']; context = [[23, 84]]
+Epoch 0: | | 36009/? [6:17:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36010; scene = ['7d5033ecd2b2d52b', '8b3d605d4d8ec3b0', '88ee0081c73b2c00', 'f7ed39c1e39f16bf', '52bf8f0eaf400271', 'c5f82f4f38798303', '62a63f9fc84b859e', '75ec2472c9bd5d56', '5aea53b7c7dcefec', 'e3055f5c8878cac3', 'acec9d645a945437', '4e0a83430cbe5daf', '2962fbb4bfaa1f12', '8ead50093236804b', '14f3add9df8c5c11', '3151db5299095375']; context = [[123, 175], [3, 58], [1, 91], [44, 98], [0, 45], [12, 62], [83, 133], [0, 56], [64, 145], [15, 85], [17, 79], [38, 100], [71, 127], [0, 90], [36, 125], [54, 137]]; loss = 0.015719 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 36019/? [6:17:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 36020; scene = ['b1dd1726f1f46b42', 'd9b2f1092421b1fa', 'a547d9a777dba987', 'bef07f5d854b4ecd', '078baae375f99e2f', '3a5c506b28095e20', '9607118d925d0c92', 'b22b2dddb6514fad', '8937f2ec63b6fecf', '2caa3fcd9e69c050', '5d3d63fe880e747f', 'bb0d0e90168fed9b', 'ca9bea80d4e5bcdb', '16166f53500a5dc3', 'a8bb6bdd8e1832b0', 'ba6b9051d2f9ac9a']; context = [[16, 62], [84, 132], [91, 150], [5, 59], [5, 53], [5, 77], [2, 48], [76, 138], [110, 155], [28, 117], [5, 79], [64, 142], [14, 81], [21, 86], [15, 66], [16, 62]]; loss = 0.012675 low_pass_filter = 0.300
+Epoch 0: | | 36029/? [6:17:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 36030; scene = ['5461f5bda5a96c63', '39422d0571911e76', 'd8f3c1df8cd99206', 'b488309344145da2', 'bd61fccd488024e7', '37be8109577b927d', '9e41975990090f8f', '52039b2a260ada3b', 'bb00698a6102a362', '4af7dec0791abc1b', '4f049727be4632a1', '9a5c2d57d37507c8', '99fbde3ad90233bc', '4596493f1773dba3', '3bfd64c3fad672d6', 'bc27ff6ce76243da']; context = [[35, 103], [7, 89], [20, 90], [7, 88], [18, 83], [95, 182], [43, 95], [157, 221], [4, 52], [24, 112], [80, 140], [5, 54], [36, 109], [5, 66], [2, 62], [22, 91]]; loss = 0.011159 low_pass_filter = 0.300
+Epoch 0: | | 36039/? [6:17:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 36040; scene = ['e966bf8e70c6eb2d', '17184d711324a8e4', '51ceead3b54614e0', '3d1e57019408dff5', '9a3bbf65d1d793ba', '1185cec1560a7b31', '49a5ad0378eff134', '161f14f119361e90', '26aac88656a643d5', 'c40af6052df793cb', '2dd92def8d2c4a3d', '91d12d3b1f39fdb1', '3cd26316ca2ba399', 'aecf769bca7bc5ce', '517ae9a9dc37f79d', '86f9b496d5802db2']; context = [[9, 65], [5, 72], [18, 68], [49, 129], [11, 96], [3, 55], [24, 73], [17, 101], [23, 86], [23, 95], [2, 71], [8, 54], [72, 147], [26, 107], [3, 70], [18, 92]]; loss = 0.013782 low_pass_filter = 0.300
+Epoch 0: | | 36049/? [6:18:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 36050; scene = ['63cff13813cbc4ac', '571879c55dd10963', '4beb0dd348a2c905', '0e0e4a867359f360', '16b14fdfebf649c9', '65eb90461a63a1b3', '3bcf3bcfc5d5c365', 'cb6f76288d4df310', 'fc4b023d8244d9a6', 'c75a367b86e8c891', 'cfdb58b8de56baf5', 'b8387972602730b1', 'cb0a6da1e15cff56', 'c676884964f4bada', 'b1e4b57401d302e3', '97dd9db901df1c48']; context = [[33, 93], [3, 82], [17, 80], [36, 100], [10, 67], [11, 73], [6, 78], [18, 63], [73, 161], [12, 64], [0, 52], [27, 87], [42, 130], [22, 110], [14, 75], [3, 67]]; loss = 0.014541 low_pass_filter = 0.300
+Epoch 0: | | 36059/? [6:18:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36060; scene = ['0a1019091179b025', '31ee94df5ad93459', 'c2e5059160758f32', 'b401ef3f7e19f7e5', '04350c5274a81d85', '73ab9a4614f35581', '189824d71bbd3764', '3660cb810808a4cf', '07fba88c60858724', '77f2655068e1c4fd', '886c8489dee57871', 'bbe918789666cc17', '5c61be9113ab38be', '4682f088198970d6', '031889e2eaf30f9d', 'd382ab655e3bce78']; context = [[18, 74], [61, 117], [14, 78], [2, 55], [4, 63], [1, 65], [114, 181], [192, 251], [49, 135], [72, 159], [31, 92], [30, 86], [51, 112], [0, 77], [20, 76], [0, 48]]; loss = 0.013246 low_pass_filter = 0.300
+Epoch 0: | | 36069/? [6:18:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36070; scene = ['dc31972ed0e1d8dd', '1a1b424f93af5432', 'a4c42be1726162f2', 'c936a5da00c11cfe', '2ad9699b71424c0f', 'a5526e3fba4e3871', 'd8e82f327f681848', '79e8072ff1125b2e', '3e568bea5cbf4dd3', '67c453c953ea741e', '40c66143ed5c8cc2', '243bbbdaa0b4e35e', 'b428ebca685f1c31', 'a43e51b1f17661f4', '050af59dc380ea13', '42395d67ecbc85a6']; context = [[198, 267], [17, 68], [1, 90], [0, 47], [20, 101], [78, 143], [15, 63], [2, 56], [79, 152], [7, 68], [177, 228], [28, 73], [44, 105], [4, 54], [0, 46], [20, 75]]; loss = 0.014450 low_pass_filter = 0.300
+Epoch 0: | | 36079/? [6:18:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 36080; scene = ['65787cb75001c98c', '8d5adf5bb663ed59', 'd8cc6b23c3a41c4b', 'b61d2950c49d51f0', 'fbf755394908a06e', '2898d4c76acafed9', '650d86f52cef496a', 'eda01f724b39dbef', '4ad4a325af74fc67', 'b7ba855b5c093e27', '43bb5f6926547aae', 'acf5faa0cd2dabdd', 'a06a60dbcb377f70', '6712459dd798fb34', '19f106c5f56ad5e5', '6223b736736550fb']; context = [[128, 190], [4, 78], [8, 85], [24, 74], [17, 65], [5, 59], [91, 143], [9, 62], [140, 223], [40, 97], [137, 216], [7, 65], [21, 93], [5, 66], [11, 56], [25, 103]]; loss = 0.014472 low_pass_filter = 0.300
+Epoch 0: | | 36089/? [6:18:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 36090; scene = ['4e89b15dcdfe9fbb', '0ff53893f963e0e8', '566a7d2125ad9fda', '701f30a22a969613', '627941d7ef713bc5', 'd958e7b2add188dd', '49724c9c6be2c390', 'f5802b3f6edb1e75', 'd6418df5f58db120', '8d5efb8d98cd58a3', '4b15e91bf9750b0b', '3af88c2e2d9c4bed', '0ffbe51291e5c9e5', '2edabae917f24f54', '4bab68e5b5c00bdc', '68a98401f56099da']; context = [[33, 122], [3, 73], [10, 68], [3, 51], [224, 273], [5, 67], [6, 53], [18, 93], [4, 56], [86, 132], [19, 70], [120, 193], [8, 63], [16, 67], [34, 84], [1, 74]]; loss = 0.015455 low_pass_filter = 0.300
+Epoch 0: | | 36099/? [6:18:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36100; scene = ['d3aa865d26ebaa1a', 'fb6364b47d824180', 'd1c6899b6c6ef917', 'dd5ed29765330d4f', 'a356dab14e5662de', 'd450bfc8d4fd93fc', '707548393b4bc8a5', '001c43a59a9e0b16', 'ea30bf8a65e93961', '019bf9d48f4362ef', '67fcd56243f81f4f', '0c2a75ad7d5b971d', '3975666832e5ad4c', '8bf4fe01a15a68bb', 'c9c1e2b910019ebc', 'eddda29a27d55c83']; context = [[147, 195], [75, 150], [100, 154], [116, 162], [12, 59], [3, 50], [23, 86], [36, 111], [1, 69], [178, 252], [49, 122], [32, 77], [18, 81], [11, 73], [0, 78], [7, 73]]; loss = 0.016309 low_pass_filter = 0.300
+Epoch 0: | | 36109/? [6:18:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 36110; scene = ['5ba33c04b7f4db27', '1296e02bdb6ad82d', 'cef5007856952e1a', 'a02b07e50615b1c7', '54abe04a860be8ba', '465b9fe249839356', '74cd4780d17db619', 'd21b4712102f9305', '664f022c412506b3', 'b7ee16db7f015691', 'a41cea2a724f05a8', '0010533d5f176d7b', '6e8010eb6c8a9ec3', 'cbfbe5dbbd67b665', '420a8a0e49338cd3', 'dc5b8a1244a5d75a']; context = [[8, 98], [12, 102], [89, 176], [204, 271], [21, 71], [76, 151], [4, 53], [37, 110], [105, 183], [157, 206], [0, 51], [17, 72], [37, 118], [2, 66], [130, 219], [11, 88]]; loss = 0.017038 low_pass_filter = 0.300
+Epoch 0: | | 36119/? [6:18:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 36120; scene = ['95cd0bad15de18a9', 'ea2343e4a390441b', '51e99330cbe8b36a', 'b7873e1ebdb5721f', 'ff4fb430b2108b32', '9a2d4c60e9585ed7', 'c2648243586329ba', '04de1a4925ce16a7', 'fc5fe3d19d1bcc3e', '3d187ef47213b513', 'f4066052175578a0', '887c6aa71d5e23f1', '9cc6a832ffde1cbb', '6d849ca53f62a5b7', '3cca5bd6f63c23a5', '7bdae1fbfeca5814']; context = [[41, 116], [14, 69], [11, 66], [0, 80], [13, 58], [113, 175], [6, 92], [103, 163], [21, 106], [49, 119], [59, 115], [75, 132], [0, 87], [99, 159], [1, 65], [2, 68]]; loss = 0.016783 low_pass_filter = 0.300
+Epoch 0: | | 36129/? [6:18:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 36130; scene = ['90dbfac63e6b89be', 'eae335066648fbe6', '0a261b18c09f9f58', 'f2c8678212c44344', 'c841844509970531', '452a487aad737922', 'f2f7df2a8b307e10', '375a71d06e55dbd3', '554969e92f0c8d3b', '3c9a565ad968626d', '77da7b2b980f34f9', 'a44d6979b3bafcce', '63530ed9d72a8372', 'f47283447b11a0a4', '229a78770f9e62ab', 'c902db04aedf721a']; context = [[3, 48], [1, 59], [183, 228], [1, 59], [34, 114], [31, 94], [19, 89], [15, 103], [27, 75], [5, 62], [129, 175], [1, 68], [123, 180], [18, 86], [37, 122], [98, 163]]; loss = 0.013542 low_pass_filter = 0.300
+Epoch 0: | | 36139/? [6:19:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 36140; scene = ['64f0e0779e200db1', '9dd47de79d8a59b1', '611bad07db5d9180', '39e77582c902fb47', '9ee288075a75d9f7', '96ad6fdc08cdfc37', '88f0ac14ed8feb1c', 'b02dc4e4cf0ec58e', 'becfa31c015c5e62', '56f24fbba4208308', '4f117cf79d58ccc2', '51ed133e2971cb60', 'ac0d3cc7eb377837', '7a34e3e3931644e3', '4b2f1f91d54eee6d', '487687c896a86bb0']; context = [[0, 57], [18, 100], [6, 59], [102, 184], [0, 60], [4, 69], [26, 92], [6, 74], [7, 91], [4, 51], [185, 252], [5, 76], [14, 103], [36, 126], [14, 89], [45, 117]]; loss = 0.012953 low_pass_filter = 0.300
+Epoch 0: | | 36149/? [6:19:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 36150; scene = ['11b82d701e534e7d', '07d1274f64a5081b', '3c6fd8ba9c412ce8', '033e302c06eae28a', 'c040751b7e2b2ef3', '5ce1d9b4b20f5c9b', 'c3ccc4ebd91fc7ed', 'ae82cdf33b5b0915', '2eb9dd51f20a9d19', 'c9a206a3329302e3', 'f3063c66b1e84d2a', '9a47209ef36deda7', 'f53a4f8312a99744', '4cd18800aef658e0', 'b2027e45d50ebe71', 'cba1ed27ce6c425d']; context = [[6, 91], [12, 82], [11, 82], [167, 228], [5, 90], [181, 263], [16, 93], [11, 59], [28, 94], [154, 243], [29, 95], [94, 149], [46, 101], [123, 209], [74, 161], [0, 70]]; loss = 0.015054 low_pass_filter = 0.300
+Epoch 0: | | 36159/? [6:19:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 36160; scene = ['5f1fc19943805c2c', '10c8a3c07c9565b9', '075784c69c746731', 'b0a37b9cfe759de1', 'cb2b368e1872f0fb', '192bc7d63e77a5c3', '307d4474ec473095', '91c5409da74ce91f', 'cc63677542b32f72', 'b5fb28b030ea4b59', '66d43c1364df99be', '39471e2adb4414ce', '5ffc4b146d257165', '82540acbe82766f8', 'c3dded599b909ae2', 'd17074a26e2401ae']; context = [[33, 105], [15, 90], [104, 161], [10, 83], [18, 97], [30, 91], [2, 47], [38, 114], [19, 100], [1, 57], [77, 157], [211, 260], [45, 114], [12, 87], [0, 49], [2, 85]]; loss = 0.013406 low_pass_filter = 0.300
+Epoch 0: | | 36169/? [6:19:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 36170; scene = ['82c18870fae1c1d4', 'a5d0ef34f899ecab', '4714e4012c55f466', '9c350ab081d20885', '55a7b7aaa624c8aa', 'ca7a9b0af8757d37', 'ce56fd4667f845df', '469dea2a027fbf29', '13d807ca41a87e84', '1dc21884784fde0b', 'ab9129e394e44ed8', 'a79888bb552c7862', 'f7887b5d47d53d20', 'dd71da9a017228df', 'fdbfe35f5940d3ad', 'cb7487a5189f6b2b']; context = [[4, 87], [181, 252], [8, 89], [27, 111], [5, 57], [18, 74], [22, 73], [8, 61], [10, 89], [70, 137], [0, 47], [191, 265], [97, 171], [19, 102], [171, 222], [1, 53]]; loss = 0.017300 low_pass_filter = 0.300
+Epoch 0: | | 36179/? [6:19:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 36180; scene = ['75b93ae19dd971a4', '542b331fc2699bc8', 'fbd2c20f5033d7d8', '0d6a00923814af9b', '61fb7783fff731c0', '5689c9983b642392', 'e790b5f2308d5617', '8420ff3c64b30c99', 'c2aac658a825f776', '4b9f648daf5a382d', '1f1e2bbb82d871d6', '11b07c1ff511c097', 'ea993320b24455cc', '0e0ca1c8d817169e', 'de9b8b8e08b9a045', '8096be2fbf236584']; context = [[8, 59], [1, 60], [16, 80], [196, 252], [112, 175], [79, 141], [2, 83], [7, 66], [6, 71], [2, 52], [11, 85], [39, 122], [2, 92], [150, 239], [30, 87], [0, 48]]; loss = 0.012438 low_pass_filter = 0.300
+Epoch 0: | | 36189/? [6:19:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 36190; scene = ['f7887b5d47d53d20', 'a79888bb552c7862', 'fdbfe35f5940d3ad', '3f7c40c559810888', '4a7a158bc511d737', 'dd71da9a017228df', '2edb7ac3009c5f9e', '3f9159006db0096d', 'ec5662982ab863f4', '7249540ddec693f0', '16e6c23f8d9a888e', '1807e20d540e0272', 'eccc846dc587a4fe', 'cdf3b28814b65c1f', '5706ec8a29ac1540', '0b7f965ccd404bef']; context = [[27, 112], [36, 116], [51, 116], [80, 131], [92, 178], [72, 127], [1, 64], [0, 48], [14, 72], [34, 84], [16, 95], [60, 111], [0, 54], [163, 212], [66, 131], [116, 178]]; loss = 0.013169 low_pass_filter = 0.300
+Epoch 0: | | 36199/? [6:19:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 36200; scene = ['96ce3e617124a934', '4e42a798152f2381', 'de61efbee4c2b1cd', '209a86f54836420b', '85cd5c3b6ecf03fc', 'ffa7629718374e7a', 'bfbe0936c45a6877', '627b0865de219721', '8772de948d685f01', '7511aee8902bccd1', 'c5584bf72d124d9d', '191836b21424305c', '8a5370d597679b7d', 'f287b42b0894a220', 'e834fab2208f1db4', 'bdf3783c8da8d447']; context = [[53, 117], [20, 92], [11, 67], [3, 89], [34, 93], [21, 107], [4, 74], [3, 77], [5, 76], [7, 85], [3, 83], [2, 68], [7, 77], [86, 140], [105, 175], [26, 94]]; loss = 0.012981 low_pass_filter = 0.300
+Epoch 0: | | 36209/? [6:19:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 36210; scene = ['bab800a2ec170417', 'd93ecbf8aeb1e1e5', '74a90325131a0f83', '83c67cfbdc88eb0a', '178fa26c644c22af', 'bf7037e18e37df78', '0cff48e83dc21019', 'e460c9372582b498', '3233ec8590aafe91', '028c46c1a1921e58', 'e591c53b0f37b4be', 'ab647a72705fdc43', '6c18f759bea057a5', '49b87c7703b467e8', 'd04f3ef93efbec50', 'f0b4cb19f9a00462']; context = [[16, 69], [69, 144], [15, 67], [39, 105], [65, 129], [99, 160], [51, 100], [27, 77], [30, 109], [67, 134], [6, 71], [72, 154], [32, 89], [2, 50], [117, 190], [67, 115]]; loss = 0.011114 low_pass_filter = 0.300
+Epoch 0: | | 36219/? [6:19:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 36220; scene = ['acd1915ee65bfe2e', 'eeaa456ff8d02ae5', 'ceb28bbb4f5926f1', '956ba41bf98ba71f', 'a02096a091543cd0', 'b68ef343d008a9c8', 'eb35c81a959ad80f', '023e2a0f45dc49e0', 'd386559a465dea9c', '4592370201894fe7', '746f958167248c47', '275471aa95675b7a', '5fbf56ed209c709c', '21ab0d9d871753dc', '0314dd90dba7025d', '1668fcfb8bedeccb']; context = [[98, 163], [12, 65], [5, 66], [24, 92], [51, 110], [5, 76], [31, 76], [81, 144], [133, 200], [14, 63], [204, 271], [21, 105], [2, 54], [21, 91], [6, 67], [3, 82]]; loss = 0.013555 low_pass_filter = 0.300
+Epoch 0: | | 36229/? [6:19:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 36230; scene = ['30535c5c88e231a2', '24da1bb7bc49f98a', '98674b49a4b7994b', '9112a327c48c8a3b', '851eb1bd00509e03', 'e9d7bce7111b7ef8', '1293621d66dc4273', '0858737cc9d1c3e0', '1e45a9e642f91197', 'fccb5d29b34d4dac', '52b9e011c488d98b', '16e665bb9e65cfef', '92bd10e9323fe423', '93d923fdb367e0d2', '8eee7c848d368b0d', 'f163339747752b23']; context = [[6, 63], [1, 86], [26, 101], [19, 73], [9, 93], [82, 143], [122, 185], [14, 59], [17, 79], [3, 79], [3, 92], [4, 61], [0, 48], [4, 76], [4, 71], [40, 107]]; loss = 0.012769 low_pass_filter = 0.300
+Epoch 0: | | 36239/? [6:20:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 36240; scene = ['b9d45f6a27052a50', 'd6c5625f80389208', '48def91eaf244778', 'd334cb5b90a3f4f7', 'b0d6c95a685f7b28', '434ba7d85520e320', '883b1ce6f044e128', 'bb3c1034f81f14b3', '7b0443eefd68756f', '3d035925ab3a65ba', 'ac09e72e448e7aa0', '91344d06d99a6dcf', '919d386ed136a08a', '510748ec459730d6', '842e1b62d3dc74fe', 'de1ad970833eb9f4']; context = [[103, 156], [3, 67], [2, 55], [13, 79], [2, 83], [0, 88], [3, 63], [41, 129], [30, 96], [40, 106], [72, 149], [10, 69], [2, 62], [80, 131], [46, 114], [14, 71]]; loss = 0.015900 low_pass_filter = 0.300
+Epoch 0: | | 36249/? [6:20:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 36250; scene = ['3b2d3975d43291c0', 'e6ebaea853d7c5da', '1576466bebb4c410', '6fc4406bcb479090', '91bb4e69e3a7f0ad', '0283b8e9fb87c5f2', '35303245a2061922', '22ce054461091db4', '6c34098b09522e36', 'a5f0da9ffd996453', '452e7bdd3f9b37ac', 'bc6b67a8ae5fc6d0', 'c17cc0c48c99b154', '324df5024ad8368a', '03b33e70922541d7', 'ca7dabee8c6df3be']; context = [[31, 115], [13, 99], [3, 82], [28, 106], [29, 109], [9, 78], [157, 229], [3, 58], [47, 125], [91, 172], [70, 125], [15, 91], [7, 55], [1, 68], [4, 51], [7, 77]]; loss = 0.012287 low_pass_filter = 0.300
+Epoch 0: | | 36259/? [6:20:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 36260; scene = ['4af008f15e72d78a', '42c42168f0fb01da', '57c55c3f86702375', 'df8f7309507c4827', '4de8a7529e541417', '3fa8b5d99c8e3897', 'f1bbcd848a212362', '6e63b6440b922e9b', '03a58fa83025c7c5', 'e9d559d905f9e293', 'a0fad2d7b2b26a76', '22d42ccb6f6b29c2', '3b21a07ae5de8202', '104a8544cb466c6a', '3c7759c8cebd2456', '9c55e26abd4e6bfd']; context = [[53, 100], [8, 98], [12, 61], [7, 57], [1, 63], [0, 46], [1, 52], [5, 85], [1, 46], [2, 50], [18, 106], [16, 81], [45, 114], [92, 178], [99, 168], [4, 51]]; loss = 0.012730 low_pass_filter = 0.300
+Epoch 0: | | 36269/? [6:20:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 36270; scene = ['fd79bc222f3d215f', '38f4d6848424acfc', 'e43d5ec97a28d779', '58e9b7fd0a4622ea', '0372dbcceae0e69c', 'f9a728faa63a1d3b', 'e76eee95e9e5747f', 'd1fb2417deb8371d', 'ea8358aa959c7b88', '9b4e9736b11aad1a', '16a13fa9b4ec79a8', '41b957835a1e5631', '3f13ac8d5f0db195', '036724ed27bc068a', 'ae8c32d3055c3be0', '27c316947cc616b5']; context = [[79, 166], [54, 118], [7, 63], [54, 119], [173, 243], [1, 67], [3, 78], [0, 84], [94, 146], [55, 113], [26, 106], [96, 176], [43, 96], [164, 228], [22, 96], [106, 193]]; loss = 0.013189 low_pass_filter = 0.300
+Epoch 0: | | 36279/? [6:20:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 36280; scene = ['56dc83393c72e3c8', 'b054fb5ce2f8e1f2', '30083643d23baefb', '37af0580a033de8f', 'dbefadef3328aabf', '82b96510a3611b6f', '614d22ea61831d59', '91d1834cc0a5d350', '03b1e1a9d73284d4', '1849278e5448294a', '27af55bd950658b5', 'eb6708e694a4569e', '3dfab7134cd7d8f1', 'c479921ed8ddf110', 'e06c1794470c3081', '2789bec85bd74f27']; context = [[6, 72], [7, 59], [6, 82], [85, 143], [74, 153], [2, 70], [227, 276], [0, 80], [19, 66], [107, 157], [13, 99], [4, 71], [26, 111], [7, 90], [6, 92], [19, 81]]; loss = 0.015434 low_pass_filter = 0.300
+Epoch 0: | | 36289/? [6:20:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 36290; scene = ['ef1bcff4381798e3', '6ba8a05650092511', '871ab234bc798889', '5ec33374614cfe6e', 'df9c8d1b19c778e7', 'b77d95d2e93074c3', 'd74e7a16f611c1f6', 'f592013dce557cce', '465ce15174cd7c62', 'da31519374bcfb91', '00c3799b538b84e7', '0a42b3b1871b164f', 'd984e9eca1c93e8e', '33ed58f9ad7d3603', 'a7e7897631d70008', 'dee1286a8c8a4444']; context = [[0, 54], [24, 104], [3, 80], [7, 78], [42, 97], [91, 165], [9, 83], [149, 200], [0, 75], [5, 58], [52, 127], [38, 103], [27, 90], [64, 134], [113, 162], [75, 128]]; loss = 0.016560 low_pass_filter = 0.300
+Epoch 0: | | 36299/? [6:20:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 36300; scene = ['5b28749eb4d7de82', '8006cf47aa5e25c5', '7c28754cd17d1002', '6875237676478d45', '0e65e508ee024fc2', 'cb95b7cfa375a9ea', 'f7b09a6e87abb5e6', 'd223e36676f6be30', '491964c59c131fc2', 'b453ef05daffeeb4', '7a42989e4f09f8bf', '180608332f0b1b2a', '75e5ba7e7fb64fc0', '8a09ec7946cf4938', 'd0aafe6b7593a8c6', '2225123ef31a93e4']; context = [[10, 85], [96, 143], [2, 74], [98, 150], [12, 83], [51, 99], [13, 85], [55, 111], [2, 62], [127, 216], [0, 62], [35, 115], [13, 103], [0, 77], [33, 97], [15, 80]]; loss = 0.016018 low_pass_filter = 0.300
+Epoch 0: | | 36309/? [6:20:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 36310; scene = ['9f0cb34a36fc4260', '58adcbde01e5c437', '3223635c785c9718', '0071f6d0b342c75f', '57e607bc8cd5d233', '7dc2da97423f053d', '3d74489372089c48', '435fe174264697a6', '211ba20868a52208', '52914ada3d21bb9a', 'a4040de9d995b7de', '82b8775b9a02685b', '93c52643edbe225b', 'd6076dda77bf4667', 'dc41c0081c0366a6', '4a694fea0252e84b']; context = [[1, 58], [9, 99], [36, 88], [8, 88], [141, 217], [4, 82], [2, 51], [39, 96], [60, 126], [71, 141], [18, 75], [14, 66], [18, 71], [11, 74], [122, 201], [185, 239]]; loss = 0.015364 low_pass_filter = 0.300
+Epoch 0: | | 36319/? [6:20:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 36320; scene = ['59491fbde19676bc', '01272cb3e77d7aa3', '50d7e64b19747fad', '6ceee3e441827b1c', 'c219d2148d02d548', 'fc4456fea1c67e5d', 'da3850d0382a6145', 'e09552a1d3ff9da2', '7f8dde6252e1ed13', '22d6bc367304c934', '5686bcf28b60bf6e', 'd949abd5b412d212', '60008e826bbabc87', '96d32953310c8208', 'a5f2758d6aef3ebd', 'f1d0c2308fe37a04']; context = [[92, 143], [6, 94], [1, 54], [0, 86], [75, 142], [162, 240], [100, 154], [170, 215], [50, 105], [1, 46], [38, 121], [23, 75], [28, 95], [4, 49], [179, 269], [2, 48]]; loss = 0.012040 low_pass_filter = 0.300
+Epoch 0: | | 36329/? [6:20:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 36330; scene = ['c10891ad7ea54ec5', 'e7061b51397d5257', '3dba3a2d55a5fee7', 'edcaffd1682e71b5', 'd313beae64da1921', '40ad9f0aa3879308', 'cb2a9c3de4c5c411', '92e2dabb88e7dd3a', '0b2eca97fe7ea73a', 'd679e18f9605541a', '60863ab1ae0f524f', '9c91b07d59d74d99', '0f7252324e26fd76', 'a0a998cf1b8200ee', '954dc4248a48d085', '62e5b0716c8f72da']; context = [[22, 74], [29, 79], [15, 64], [98, 146], [52, 140], [10, 93], [79, 135], [74, 144], [54, 128], [3, 48], [0, 48], [11, 67], [0, 57], [39, 129], [61, 147], [0, 71]]; loss = 0.015129 low_pass_filter = 0.300
+Epoch 0: | | 36339/? [6:21:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 36340; scene = ['f78cef21cd9ec13d', '59624e64dd529e56', '4d99f9c1332d1442', 'ab66548e2bc165fd', '7e717082bedd01e8', 'a170e06e7999ca1e', 'f1a0ce57e7071dac', 'f689b1467bdd3aaa', '2c6acb9cddb23fdc', 'df2ed5b12147a4b4', 'e8f80504a64dc7e5', '3646fdee6946bde3', 'e066d9d444f847ba', 'd07aa4d1691ccf58', '1c82921d1dcd115f', '3cca155053b89326']; context = [[77, 165], [1, 69], [192, 238], [60, 143], [57, 110], [0, 70], [20, 83], [150, 195], [81, 168], [66, 118], [147, 215], [0, 73], [141, 230], [50, 124], [3, 61], [60, 129]]; loss = 0.012292 low_pass_filter = 0.300
+Epoch 0: | | 36349/? [6:21:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 36350; scene = ['d72511cb9e41d03d', 'c43cb99fddcc2154', '7669e97d364f029a', 'e77aa644133c2577', '6e8dae6bdfab4885', '14ee648909b7b2c0', 'dd7e8dbe4754e8f5', 'bb4d83b6ed740f6d', '5467f445ba3f52b7', 'c6eb58835445b87a', '33b0c1943b5521bd', '4105f8cb0d05cdb7', '82553ea3fe4fa671', 'ad671e492f0a9e7a', '66a853c95cdd96a4', 'de4f11e84313cbaa']; context = [[34, 90], [16, 94], [2, 73], [10, 88], [2, 87], [24, 109], [118, 172], [0, 47], [10, 71], [22, 82], [161, 237], [9, 73], [19, 83], [8, 94], [51, 120], [31, 110]]; loss = 0.014609 low_pass_filter = 0.300
+Epoch 0: | | 36359/? [6:21:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 36360; scene = ['2713a35534850787', '6e81ca0e354790fb', '70e09b2da21c935c', 'ae9b392cb1d7be26', '2a28036d98f5a42d', 'a7344e0356bfba18', 'd378db422fda516e', '2d41ec8c58a78215', 'a39de974d72b88b3', 'c31c5aec6ca52a0f', 'fe05283c708c2589', 'ce638637eab9cbb2', '6f4f54d89383e1ba', '1b3f09d0f408cdc6', 'b3ad12ae1d47cc80', 'eb45835a07742ccb']; context = [[66, 153], [14, 85], [14, 65], [87, 162], [30, 80], [62, 136], [2, 61], [15, 82], [10, 80], [21, 95], [19, 89], [65, 135], [4, 86], [24, 108], [2, 62], [0, 54]]; loss = 0.014118 low_pass_filter = 0.300
+Epoch 0: | | 36369/? [6:21:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36370; scene = ['a08ff72bb7ee8769', '9cd573a09adcac51', 'bb3c5b7e5d72177d', '40a3d9a13d9ac652', '5633a361f38d251b', '8b43ca18bba45f5f', '6c7217612bf78cf9', '06779b91ed31eaf1', '0ca3f423c85f9681', '70f3c97d083b73b6', '60169b49df5a7100', 'e35372245c208a65', '8b420b4f59fb2756', '859ab2c13678fbc4', '4f211f459a039d17', 'fe79a53c24c479b8']; context = [[9, 84], [169, 216], [1, 70], [3, 49], [0, 72], [37, 110], [27, 96], [11, 65], [25, 77], [0, 57], [31, 119], [1, 47], [47, 95], [71, 156], [12, 93], [0, 48]]; loss = 0.013613 low_pass_filter = 0.300
+Epoch 0: | | 36379/? [6:21:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 36380; scene = ['42542d645678fd04', 'a1c4f2db52b4051c', '06323af770d29e99', 'f55c732c8821fd1c', 'de7427712778e01d', '93e4362f1b5a692f', '9b6024865f9875f2', '171f113e735eca35', '6a88748e95763304', '2c8e763f0db800a0', 'd41e59ee023e977b', '127f81e3100df692', 'fbb0d0e819f6ffdb', '445f6303c810365b', '35873da2029f8bdc', '5d912006291585c5']; context = [[147, 196], [5, 81], [5, 88], [33, 102], [28, 81], [64, 150], [24, 80], [108, 157], [35, 94], [17, 64], [20, 66], [8, 55], [21, 78], [11, 86], [57, 133], [2, 61]]; loss = 0.014127 low_pass_filter = 0.300
+Epoch 0: | | 36389/? [6:21:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 36390; scene = ['a160e085a31100e7', '5c56b0f05a358572', '6b944937986e8221', 'd7ca8401b3a2387b', 'a2a821ecee305c73', '80b04e7c5d21facf', '5b3422e1ad0e3f86', '02ae95aab1b4932e', '3dfdc1b6c7b658e3', '628d53c4fa7f75e6', 'f9357b87fc3e1578', '86af7cd006b63f11', 'caa2624600dfa93f', '1236365ec263ad76', '1202c32d91ad3ee3', 'c44581acf8dd6c35']; context = [[46, 135], [9, 55], [33, 117], [2, 52], [97, 142], [48, 105], [101, 164], [148, 208], [1, 47], [21, 98], [119, 194], [99, 167], [36, 122], [70, 141], [17, 87], [147, 220]]; loss = 0.019276 low_pass_filter = 0.300
+Epoch 0: | | 36399/? [6:21:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 36400; scene = ['9bae213a2e0667da', '1ccc8946d683d79c', '9d4bb6a040f3e82f', '29afe36e4ba597f5', 'a274226ba987804d', '4818937afe06212e', '6484b96bb1fc9047', '3a1d247efe2a5c73', '0707ae991fec6ee3', '63ea3151ba0f92e1', 'bca29bc491799a9a', 'a0c0f0574e106096', '810c261f5f171a1e', 'a9527d6eb43fc8a2', 'c57a71f6511a205c', 'ad8515c821075061']; context = [[17, 99], [11, 93], [162, 243], [19, 67], [64, 139], [0, 53], [145, 215], [28, 76], [51, 114], [168, 218], [19, 82], [73, 144], [95, 152], [5, 80], [2, 49], [133, 187]]; loss = 0.016605 low_pass_filter = 0.300
+Epoch 0: | | 36409/? [6:21:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 36410; scene = ['c7227c4814c49b1f', '6e95c51264f892f1', 'e6ddcf41c3e4111a', 'fad297cffbe92a28', 'b3d32ae703d1207b', '71db942d49654d01', 'acc716bb5aa4c2f4', 'bd988995a964b6f7', '58854da026faf774', '2df0151e4f7c8daf', '2cada352d5ff0bad', '74caf02bd5ddc12c', '2b93c95f7163e0c2', '4abfa80943112607', '2873784953200e4f', '9deae006e118e6b1']; context = [[66, 143], [38, 103], [31, 112], [4, 59], [13, 61], [9, 60], [1, 77], [25, 113], [37, 103], [22, 104], [130, 181], [46, 117], [74, 127], [49, 105], [39, 102], [0, 66]]; loss = 0.012871 low_pass_filter = 0.300
+Epoch 0: | | 36419/? [6:21:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 36420; scene = ['02ae101d68a2304b', '33bf51a57dd21baf', 'c2d56785690fef5c', 'b4ffacdfb98be7ce', '976cdb75e3f78c9b', '241995896e6747bd', '9fa0ffd6f3c3c219', 'f8df6b5b731213be', '3be7d7aca547bc9c', '005758861029cf83', 'b5acc7b273a8b91d', '038c23fe8ac608d2', 'af6d66e39934570d', '303d1041d98346d2', '1dc2ebcd887c71e6', '00e3a0aea2fcdff6']; context = [[14, 100], [16, 68], [140, 230], [17, 66], [180, 226], [17, 89], [1, 54], [42, 124], [170, 223], [16, 75], [75, 160], [127, 191], [1, 54], [10, 92], [20, 87], [23, 107]]; loss = 0.013999 low_pass_filter = 0.300
+Epoch 0: | | 36429/? [6:22:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 36430; scene = ['72272ca39b911ac0', '3e72a21edaece9f5', 'dee865b6cdef82de', '5efc5231a939142a', 'fb4a855f0ee8479a', 'a5222cbf86a8b71a', 'cfa60ada5d378aa1', '283d03b8551aa6cb', 'c02d9b44fdfcb55f', 'd9c7ee444709a1a5', '240eac2cc8b90eb2', '92f1d64884e8249b', 'd6c09f768326bf85', 'a558cf01dc6719ee', '752e0359d57f7151', 'e6ce5810e99727c6']; context = [[8, 70], [8, 67], [56, 126], [10, 67], [35, 102], [21, 110], [2, 67], [3, 72], [174, 236], [19, 107], [99, 166], [0, 61], [42, 127], [4, 74], [13, 72], [22, 89]]; loss = 0.014712 low_pass_filter = 0.300
+Epoch 0: | | 36439/? [6:22:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 36440; scene = ['74ecf295b208cf93', '67e8f86d20176715', 'c6dc64c34810c21a', '2b7d8ef41765862f', '322460caa7eb4589', '96aab2e6efb87f26', '94705c5740855265', 'd8ba7efbbd85042a', 'b5924605972475e2', '85fb2f64303a1388', '33c23461406aadc8', '0e9005332bd00350', 'bc1a2ee5ad07231a', 'd38fcceec78870bb', '4052a3faf8dbe970', 'f12268aa63c53837']; context = [[0, 56], [7, 53], [6, 60], [177, 261], [210, 255], [42, 87], [4, 69], [1, 73], [132, 190], [7, 78], [14, 92], [4, 53], [103, 164], [0, 69], [23, 75], [16, 61]]; loss = 0.016107 low_pass_filter = 0.300
+Epoch 0: | | 36449/? [6:22:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 36450; scene = ['7ea7c3878bb1adce', '4c527b2ed319ecf9', 'aa20915f7a4f4154', 'cce75bd64548371d', 'd00afb745c603888', '28e1889569b206aa', '1899f9503591706a', '76da738b80b894c6', '0935b1ed5367813c', 'dd8f995702591ba7', '7b2378ebd9c53c89', '23c1ccdbb82ee29c', 'dfd7ac5b3120d4d4', '0b33181143dd3303', '9d4bb3c6783e57a8', 'db537420efada436']; context = [[25, 98], [71, 123], [23, 102], [34, 101], [2, 66], [0, 90], [73, 128], [172, 232], [13, 76], [0, 60], [91, 143], [107, 153], [110, 173], [31, 121], [3, 48], [10, 93]]; loss = 0.012969 low_pass_filter = 0.300
+Epoch 0: | | 36459/? [6:22:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 36460; scene = ['4b670fd16f86b860', '5a15bfa3cf370b32', '9ffccde4a0d78f2e', '69aa7fb3e30cb2ef', '79fa0adb026040fb', '5932891d3ec96fc0', '9531bbcacc25b355', '70fb3239e4843ac3', '99f92784e60cc38f', '52aedd18a6e301e2', 'bc499babd52242f7', '9a03d88184340b38', 'bb38e006ba4dfe71', '009f73815f3e3b42', '10cf209464d06e23', 'c719ca7c3e40e8d7']; context = [[45, 97], [6, 54], [133, 212], [28, 94], [91, 163], [42, 108], [3, 70], [11, 62], [9, 94], [112, 168], [39, 101], [43, 122], [8, 62], [77, 143], [4, 55], [189, 269]]; loss = 0.013936 low_pass_filter = 0.300
+Epoch 0: | | 36469/? [6:22:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 36470; scene = ['23f56c968e90b308', 'd4e65842508bd432', '95e0a2399dbc6008', '8db9ff38e05c3ffa', 'de01308c20eca844', 'c0e8cd79f73611d6', '5f1fbee3e97e7470', 'ecbf048504e09969', '795b958ce87d556a', 'e8ce258cf5f7231d', 'ef3467589fd3709e', '220133e56a34968b', '2ff7d3d179ff2ed0', 'b10e2cfbec255d44', '60531462424bd617', '965f0970da310cda']; context = [[14, 62], [37, 100], [7, 83], [87, 154], [1, 47], [36, 96], [1, 49], [5, 69], [44, 127], [44, 95], [6, 81], [12, 96], [28, 76], [0, 47], [14, 102], [2, 74]]; loss = 0.011370 low_pass_filter = 0.300
+Epoch 0: | | 36479/? [6:22:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 36480; scene = ['3a00bf0557f697bd', '478a681c422cede2', '71c8a123e9cdd368', 'd2bb35c8d33ed564', '8f068b6892b087c9', '0f7d0835b1820906', 'a350e40c8e303736', 'af51cf2b2d12d8ac', 'af0c910f1fcfac26', 'a0f5a24c91ce699f', '3aca1a87f95323fe', 'fbc0f1f919e37f6f', 'ccf5c765a64d7353', '9e8aee0addd74c99', 'eb8bf1ce487c2eb1', 'e80bef1c78cf387d']; context = [[51, 112], [93, 177], [30, 95], [9, 89], [31, 81], [9, 70], [172, 259], [124, 201], [5, 80], [120, 173], [41, 91], [55, 141], [139, 197], [0, 71], [23, 77], [107, 157]]; loss = 0.012793 low_pass_filter = 0.300
+Epoch 0: | | 36489/? [6:22:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 36490; scene = ['76ae405bf2de98c2', '59c3bfed205e6641', '163767f16a78b79e', '3dd55783dba98a3a', '9eb97841e5239d91', '8385639daed6ad35', '170fd5c0b4a9f64a', '27cccdcbcc2a484e', '249ee6d00a7493be', '583428a8466e2418', 'cc19896ecea55d01', '813a6c5e1123e81b', 'aea6e8f6cbbabe3a', '433737b2b7f09bd2', '3854ae7e48f9f528', 'b29d9ccc5a360755']; context = [[56, 118], [0, 56], [86, 175], [0, 76], [22, 95], [73, 123], [27, 93], [4, 63], [12, 62], [0, 73], [50, 113], [29, 104], [26, 101], [114, 161], [11, 66], [195, 260]]; loss = 0.015699 low_pass_filter = 0.300
+Epoch 0: | | 36499/? [6:22:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 36500; scene = ['e95581a829bf8d7a', '5b6d2302ce6b01fe', 'e1b54662af9ed7a8', '65c0a05d71fc4a45', '573ab8186ca52849', '075eae6b9afc3d7d', 'f05ae52b3cfc9292', '8e043c9f1c809d9f', 'c5d54a42aa4c3767', '7932caa22a150283', 'bc825dce25ce4f41', 'c2838c7e3abcd62f', '98302f005c2b935a', '5c51f952f16de104', '4acf06353e51ea6d', '42c80ebf2f08c5a1']; context = [[1, 57], [7, 52], [93, 144], [51, 96], [7, 59], [6, 68], [3, 93], [43, 132], [25, 97], [142, 201], [32, 104], [55, 121], [5, 61], [0, 53], [63, 131], [59, 147]]; loss = 0.015048 low_pass_filter = 0.300
+Epoch 0: | | 36509/? [6:22:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 36510; scene = ['f026c8f1c91ab212', 'f9a43cbfd7bbda9a', '5733a66e97c4493a', '71f2526fd7a38f48', 'a8c67c7050608d71', '9c03514c3e019d29', 'ddc82d6729858305', 'dda981c3412b8d91', 'e1a1987653f0f30b', '1a97cad925fcad4e', 'a3e9def67885d1d4', 'd542caabb42c9cf2', 'e32e9c0a534ab52c', 'bbb4c9c8a56319af', 'c18f5fd6741f571b', 'e34083fb85b25acb']; context = [[92, 137], [73, 155], [23, 87], [7, 63], [9, 72], [0, 45], [25, 114], [39, 98], [9, 58], [5, 52], [13, 74], [53, 141], [89, 163], [14, 61], [84, 157], [17, 94]]; loss = 0.013621 low_pass_filter = 0.300
+Epoch 0: | | 36519/? [6:22:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 36520; scene = ['908c948fb8cac025', '40ef3793c2b79de4', 'ad645ff924caedf4', 'c5801600fc13d190', 'be035212259df653', '24f4a34332a7f455', '865cf762c4d42b9e', 'ffd7597794206019', '97098e465590c791', '86828c02880259cf', '7f1ad8c58d9394ed', 'e01adc15e6595c94', '48cb4cd6d8304166', '4f2085edaa43d79f', '024d43f3e2200d02', 'c3d3e599f5b98ec4']; context = [[16, 74], [2, 69], [72, 117], [110, 200], [163, 249], [2, 49], [30, 85], [2, 67], [7, 70], [1, 66], [1, 72], [14, 62], [6, 70], [184, 253], [65, 116], [4, 61]]; loss = 0.012450 low_pass_filter = 0.300
+Epoch 0: | | 36529/? [6:23:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 36530; scene = ['cac84a71e48219aa', '6ac77903c85a136d', 'ab8e85f5557ce4a3', '4d47923e78e568e4', 'a59032b47f1dfff0', 'fc2059a30fa154e4', '5dbe8c5a7cd369f3', 'd0342267434bde9b', 'bfa48646aea12d4c', 'c6f1488495990249', '689e83c0eacfcb90', 'e14b9241bcdb4d3e', '49d0e89159b0e44a', '5606451b2952b4d6', 'd026c1b01c69d9fd', '0bc21d918e81588f']; context = [[29, 91], [18, 74], [6, 71], [36, 84], [6, 89], [0, 47], [25, 106], [108, 160], [37, 126], [0, 61], [59, 125], [0, 60], [40, 130], [7, 88], [62, 128], [38, 100]]; loss = 0.012605 low_pass_filter = 0.300
+Epoch 0: | | 36539/? [6:23:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 36540; scene = ['c72e5c5b93465fd9', 'a4e1c1a1fd21c031', '2333e48f8718af8b', 'c0a9ec5652b3e326', '78a813c1cdfa752c', 'e79b8bbf1bdefca4', '5be49d95910cc25e', '2f1de0f2c7685312', '39a56aa5e7a8b4e4', '970c7058fc9ed14d', 'd55fbb3dcd24f08e', '6260a548c92d6bb4', '4f515c197a061a67', '7d169b14e0b86172', 'cb3acd2402264cc5', '0565bd311bf73bbb']; context = [[43, 92], [0, 80], [6, 61], [1, 78], [29, 112], [209, 263], [89, 139], [8, 86], [4, 60], [9, 89], [19, 70], [8, 56], [40, 123], [5, 73], [9, 93], [46, 116]]; loss = 0.013245 low_pass_filter = 0.300
+Epoch 0: | | 36549/? [6:23:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 36550; scene = ['d67ff3b1493cf038', '931437c7f8178635', 'd1a6d6a046f37dbe', '15f89ff3e4a8ddf3', 'f5ea225f5c7fc039', 'c53eb8ed399c3598', '08c6d6ab90e6b86b', '507b9f1675988055', 'e313fc42cfe43a81', '5105fedd23e13f92', '79632305e38f4e61', '9589bf6c34437171', 'fa3c714f9feb0ca1', '427dbba2f4ddb5ec', '43aa78470a1b84d1', '34580d00589eee64']; context = [[141, 218], [44, 97], [0, 64], [3, 87], [43, 101], [33, 82], [11, 68], [13, 95], [75, 157], [119, 171], [24, 110], [13, 88], [28, 80], [10, 68], [14, 92], [59, 141]]; loss = 0.012487 low_pass_filter = 0.300
+Epoch 0: | | 36559/? [6:23:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36560; scene = ['c80291ff8936a10e', '3667c847c4f69add', '37e6ad4caa7f9e37', 'c2b1745072bce1ef', 'd15af59d414280c5', '07d62dd06d7d3b10', '6cd5b0c2949e17e4', '8cd78babfa1f6285', '38c12a529bfad8b5', '55c617bb076c3461', 'f53a324e7aab70d3', '9d6350a3fac739f0', 'a8c36697aa4bea80', 'a8308ce726296b25', 'ad4b81bb89bc6525', 'deb6046f6f2ad343']; context = [[4, 81], [106, 152], [159, 222], [22, 83], [46, 116], [162, 223], [103, 166], [25, 71], [8, 63], [15, 87], [7, 53], [0, 68], [0, 49], [36, 92], [32, 95], [34, 117]]; loss = 0.015508 low_pass_filter = 0.300
+Epoch 0: | | 36569/? [6:23:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 36570; scene = ['d9ba9b4f5fedb65a', 'cd5d12eb760f6c25', '9cc91556f912bcc6', '262491e354ac8385', '7cdafd4dd1e7898a', 'bf0d03380474d38a', '13f04330f889f7b4', 'd93c0548109d3b3d', 'f9dc01b7d2ef31b2', 'b5e2fc1757ca5400', 'a0b3602d3d960374', '0157ff9c22f6e881', '49d32ba85482c428', '015f881ba370e08c', '52011acd2c8e59fb', 'd78265aa74f397b4']; context = [[124, 210], [64, 109], [21, 69], [0, 78], [0, 63], [46, 95], [7, 69], [26, 82], [9, 63], [23, 72], [1, 82], [2, 74], [1, 62], [18, 64], [4, 78], [80, 136]]; loss = 0.010845 low_pass_filter = 0.300
+Epoch 0: | | 36579/? [6:23:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 36580; scene = ['4af0acc8924f8df3', '1ea972dad8710e4e', '756a0a00121f53d3', 'ec719970f17f2eed', '03dff49783e3e29a', '3f23fde9f471891d', '824c0e56d62f7342', '4a046dacba4318a9', 'cd30b082ae6fc960', '022a4474029acfdf', 'b7e0e4f979fd485f', '28cb5b04aeb2ffcb', '38d7f9658cec02ab', '89eda44370699ae0', 'eab1efb73477fc13', '493bc1507d42236e']; context = [[3, 77], [25, 97], [46, 102], [1, 75], [15, 98], [20, 102], [91, 139], [6, 78], [84, 139], [39, 100], [104, 159], [100, 152], [24, 90], [51, 138], [25, 91], [32, 122]]; loss = 0.012510 low_pass_filter = 0.300
+Epoch 0: | | 36589/? [6:23:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 36590; scene = ['c7f1f64866b9f339', 'ad48bd771da942e6', '196e7292497fe4a3', 'cc7dcffc9cba38a8', '62e2c4c0f76a53e8', 'b8d7dad69da49e51', 'e5acb4c6ebf8af27', 'd27aedac17239369', '26478c3488603e09', '02a9f1d0c440516c', 'de2eb4f6f8635fff', '31aff270dc318197', 'e1da6e7e7a0178c4', '4e7da8637b6a526d', '5f62d53739525eaf', '4506dc1a680c186f']; context = [[36, 93], [178, 224], [117, 201], [4, 76], [41, 120], [38, 111], [12, 84], [7, 77], [168, 248], [83, 144], [33, 89], [57, 135], [93, 174], [20, 102], [6, 74], [32, 94]]; loss = 0.015038 low_pass_filter = 0.300
+Epoch 0: | | 36599/? [6:23:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36600; scene = ['8578466cccf22046', '5f4184dd10762342', 'f7b8f613963a75c2', '872252302c42fd77', '00c5fe571a003deb', '4b549a864a5d14ca', '7d70f269a4d75034', 'eaad172af4bed484', '0dbb3494ed500eae', '2010caa12547cec9', 'bcda5a73bad164c5', '0b10bd983b7904f4', '5ce43e240dbf8704', 'f21373f17f775031', '00a97cfa89150952', 'f7d137267504d848']; context = [[16, 84], [31, 84], [11, 82], [116, 174], [71, 126], [0, 45], [4, 59], [146, 191], [189, 250], [10, 60], [74, 158], [92, 157], [3, 93], [47, 99], [0, 46], [7, 69]]; loss = 0.014624 low_pass_filter = 0.300
+Epoch 0: | | 36609/? [6:23:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 36610; scene = ['ecdfeafffcae9bad', '6a8abf8024d445e7', 'f39af59fb4167fff', 'ff9879889b2fc896', 'bb9481478f3f6d69', 'edd9367813a4f0c2', '69c1746d1fc7c807', 'fd2c850e3620104a', 'e0473d7d656f6e17', '55ff5f5024b9f532', '60b23fcb19992892', 'cc27e607dbfdac8f', 'ac0a5fb83c20516f', 'c577c31302675f04', 'e485f3bd0dd46f04', 'daf3b5445dda23fd']; context = [[18, 99], [2, 47], [84, 136], [16, 77], [187, 239], [19, 109], [67, 145], [5, 85], [41, 117], [11, 65], [31, 78], [14, 92], [113, 202], [12, 81], [145, 215], [16, 69]]; loss = 0.014378 low_pass_filter = 0.300
+Epoch 0: | | 36619/? [6:24:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 36620; scene = ['ac479806829623aa', '5498b21b7b980c1f', 'c6ffd5261f0f75b8', 'cd07ac1bbdb3d7aa', '6caaca2888bf21b0', '94189ff3621c2388', 'a8317f5de4f6f22a', '1d4d4b5e150e7725', '98357a968617da0f', 'a260f2e7feb368fd', '8090675e3d0b56c1', 'fe04fd49c46f2fc1', '7641d42c46936419', '365f9473b7425fce', '684bfafa652a719c', 'a4fe80b618bb7456']; context = [[69, 118], [13, 70], [20, 67], [5, 86], [87, 167], [2, 65], [49, 118], [143, 199], [22, 71], [4, 79], [4, 67], [6, 81], [0, 76], [2, 80], [4, 52], [12, 79]]; loss = 0.012881 low_pass_filter = 0.300
+Epoch 0: | | 36629/? [6:24:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 36630; scene = ['b856c67d256f6953', 'e759c9dbca6a0818', '201f15a82f1a6420', 'a89f8c7fe80f98fe', 'aa657e100b8527f7', '8c9a5a33a9196f8b', '318d20fd78d7b165', '1751cf595b735b68', '4af1f17f12d4e92b', 'edcaf729239e0b9a', 'd52b7a9a67c3477b', '631f289afe5f3440', '3d2c4bf5557d6b22', 'f70ad09abb9f3df7', 'ab1ff2aaec862b3a', '89d348d5a5ea97f7']; context = [[33, 116], [42, 131], [1, 60], [14, 84], [11, 74], [2, 87], [3, 64], [10, 63], [3, 71], [1, 68], [71, 140], [16, 88], [21, 85], [4, 76], [6, 83], [17, 65]]; loss = 0.015853 low_pass_filter = 0.300
+Epoch 0: | | 36639/? [6:24:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36640; scene = ['5c312ff4a32a368a', '9df974b10d93887c', '4a051ea24c91e7ef', '49dcd90538e31311', 'c13915920d8d98f2', 'ece60a1ad123cbb6', 'ee93b843399c1cad', '19c3686f5a671538', 'bd6d188f357d1766', 'a3fbc85b34e4a1b5', '383f67cab19a1fa7', '949cb4aa319f9d4c', 'c1b2fc8f76c768e8', '01abdc834c20ecbc', '2dfa515599bf1f3c', '9dc41f2e4da5e6bf']; context = [[176, 248], [1, 65], [2, 59], [59, 140], [0, 52], [108, 163], [25, 72], [23, 82], [32, 118], [12, 63], [20, 69], [35, 103], [8, 77], [141, 230], [41, 105], [1, 66]]; loss = 0.013456 low_pass_filter = 0.300
+Epoch 0: | | 36649/? [6:24:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 36650; scene = ['9a4703f139e789c3', '67ca4858a6da9498', '59133f255b9d7921', '6b19c6dd823a7cd4', 'c1e8947897534f8e', '9dfcd20a3d14d93a', '89955bb7df1571aa', '8e026ade60f13e40', 'f124c51972669c63', '7f3e50dbc8f2d1e3', '69dd80a600fb233f', '885bb71067dd494a', '97ae84592e0a6efb', '69a6e3951e138ca8', '5d3751961c92953c', '63ea3195b2c0c4ba']; context = [[15, 66], [4, 84], [0, 45], [122, 198], [109, 193], [0, 76], [3, 60], [155, 224], [53, 112], [91, 136], [6, 69], [13, 76], [4, 52], [3, 79], [3, 85], [109, 158]]; loss = 0.016652 low_pass_filter = 0.300
+Epoch 0: | | 36659/? [6:24:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 36660; scene = ['c94bb2dbaa678405', 'c336b74e2c877b37', '38f562fb2b2ad4e0', 'f6aed65bf9ebd5a9', 'f9dc01b7d2ef31b2', '262491e354ac8385', 'cee7db39524bd776', '13f04330f889f7b4', '9cc91556f912bcc6', 'a40883cee3d7f428', 'cd5d12eb760f6c25', '7cdafd4dd1e7898a', 'd93c0548109d3b3d', 'ecbd583dbf8f0b2c', '855f360a6975676d', 'bf0d03380474d38a']; context = [[4, 82], [8, 90], [15, 102], [8, 89], [0, 88], [4, 60], [3, 73], [9, 57], [50, 106], [127, 173], [22, 74], [7, 53], [63, 116], [14, 104], [1, 84], [24, 103]]; loss = 0.015087 low_pass_filter = 0.300
+Epoch 0: | | 36669/? [6:24:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 36670; scene = ['0892e891d15c59f6', '8e03d34bf0495bd2', 'bc0416bb78a802ee', 'ca54e98bf836370d', 'cdfa2ba7d2ed2047', '049445c627d6850b', '2e7e83f0936f48ed', 'b17ef7cf07069daf', 'bce74d743b6fdc0e', 'e96cb36ba03824cc', 'fd2445087b521bed', 'd1adbcd382e291e2', 'fef01b5916a7034d', '1671fe053a120977', '23ea6b4aa06810ad', '1068a8f9fede3649']; context = [[27, 75], [83, 148], [8, 67], [4, 67], [12, 59], [105, 190], [54, 118], [7, 63], [31, 85], [15, 85], [76, 137], [10, 96], [0, 46], [83, 129], [33, 88], [141, 219]]; loss = 0.014716 low_pass_filter = 0.300
+Epoch 0: | | 36679/? [6:24:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 36680; scene = ['31cf7e908b0609dc', '4019a58c9b858cf9', '9aef44a2794648ca', 'e17b2eb28877f7e9', 'c77464166bea1eab', '59ec36ffb440b683', 'ec2738b1381a1fa9', '46104808b33c09da', '99ad4342945c6cbe', 'fdeba69b8f5018bc', 'd4edbb012745f266', 'a9d8fed6650ea907', '7015660a6edcfcff', 'd872593da34cc44d', '127766a21c321077', '6b39ed64ff475531']; context = [[14, 71], [84, 156], [51, 122], [19, 82], [43, 104], [7, 74], [17, 87], [1, 51], [8, 60], [9, 87], [32, 106], [0, 78], [1, 48], [1, 48], [9, 78], [38, 84]]; loss = 0.013788 low_pass_filter = 0.300
+Epoch 0: | | 36689/? [6:24:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 36690; scene = ['cc4614c5171b89e5', '96d49f97fbf3c97f', 'ff0c0d8c4fba54e0', 'f6240fed8b5ff570', 'ebefd3d3a8cdee66', 'd63e656427d56186', 'a17f771d765f1b3c', 'dc87934d7f34745e', '48484bc80ab3887e', '3f293c7a896e1d7b', 'b9ec2a6854380d1e', '7bddba236aa29cb9', '4d840c475e5a8db1', 'ee38665a9d1868e8', 'e9efe0fcc7a09cba', 'fea9df7bb5b4a7de']; context = [[32, 91], [13, 80], [7, 97], [2, 61], [4, 75], [6, 54], [75, 122], [58, 113], [22, 86], [39, 115], [2, 77], [77, 145], [206, 272], [0, 65], [28, 96], [79, 126]]; loss = 0.012285 low_pass_filter = 0.300
+Epoch 0: | | 36699/? [6:24:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 36700; scene = ['92e7ee929a1ee2b6', 'd91e49956851a074', 'dd26ffb02765edc0', '7f77277a848125f9', '935bfe82f9a91c6c', '4022fcadb6dcbfb2', 'd6ae5f24c3370311', '690befa9a6f87dc9', '46a2fb45a3fca41d', 'a48313d0aaaebffc', 'b25ffa7e511f6e21', '300fc711948c8e17', '79eced61f47a2a03', '4383610b9ef9bf1b', '45042d8ceb9440cd', '9a524ec87d6a2f28']; context = [[61, 119], [3, 89], [1, 54], [188, 238], [1, 57], [126, 209], [20, 81], [11, 60], [0, 74], [51, 127], [6, 72], [15, 62], [1, 73], [11, 95], [27, 99], [48, 108]]; loss = 0.013314 low_pass_filter = 0.300
+Epoch 0: | | 36709/? [6:24:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 36710; scene = ['9fee40ca582e58d6', 'f65d66cfd92cf77d', 'bca840550b078409', 'cd2224dc5cf1aeba', '52c03029aae94747', '22dbf576eb8db504', '14bb80a024efa7f7', 'f350794b2c5ff77d', '085e4359ecce8ec6', '731c1096ecd776b9', 'a5b6cacfd48c1a22', '7b3e257b238625ba', '4373e286e98b9688', '10f90d9c4a367c03', '3cb91e14821b7e05', '75b3f576b01384b1']; context = [[23, 96], [29, 108], [48, 112], [63, 108], [169, 238], [63, 110], [6, 70], [22, 97], [68, 132], [5, 50], [39, 115], [80, 161], [21, 88], [50, 139], [3, 49], [30, 82]]; loss = 0.017593 low_pass_filter = 0.300
+Epoch 0: | | 36719/? [6:25:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 36720; scene = ['94fdf9265bb7b48f', '1d73b17a7d797570', 'ddfa8d6604f845bb', '06217ded6da8f724', '76e66c14db609731', '50b2b1847f0c3ec5', '10ad454e47dbe812', '76e579e0db484aeb', '5f1f6f96424e0013', 'b22c33aa0730f9d8', '38da907dd45ba2d9', 'cce7b7b831f93fed', '72d8bf6dfde7ea73', '842b0f18727a87f6', 'd2fa1d6b21f973f7', 'eed911184d146626']; context = [[0, 67], [12, 68], [7, 55], [11, 86], [4, 69], [25, 110], [48, 98], [60, 111], [15, 68], [12, 76], [26, 80], [89, 178], [13, 69], [207, 277], [14, 79], [0, 67]]; loss = 0.012186 low_pass_filter = 0.300
+Epoch 0: | | 36729/? [6:25:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 36730; scene = ['487cb405112bfad6', '1c1261ef4744a1a9', '68a409152fc28a55', 'f320770af3c253ac', 'd0e60247bcdb97b2', '2cf0d10ee85e7610', 'cb95cf9b7735cf11', '1d454cafc3956b16', '2e9292655d0d4dd5', '53dd78c4ec2ce869', '85abdea85f9965c7', '8fb02cdfce330637', 'd2eed88e19cfd9ca', '15c33c76f8a7238e', 'ce267807e6f8819a', '1fbd3c030aafef5a']; context = [[28, 85], [49, 133], [187, 259], [20, 78], [10, 60], [215, 275], [50, 104], [7, 74], [70, 137], [0, 82], [2, 64], [27, 100], [0, 83], [24, 85], [1, 72], [13, 88]]; loss = 0.014354 low_pass_filter = 0.300
+Epoch 0: | | 36739/? [6:25:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 36740; scene = ['b2910c36ee64cd20', '6a0c40520833351c', '24d6f8b7af5af475', '2a4a3612a4931819', 'd3741e9507f27e73', '3fba1e83df500eed', '82d3d6fc3f681f9d', '4c212add50c782fc', 'cf44c57a316bb7df', '7df9941d67654aac', 'b509b83544d44451', '6306786de63f1537', 'dd8f6e06483856c5', '7a2844b5e0ca5120', '9a54201f9e2fd9ea', '5bb3babdc48efe4a']; context = [[2, 83], [102, 158], [36, 123], [17, 85], [171, 241], [108, 160], [41, 111], [209, 269], [23, 95], [192, 271], [100, 181], [22, 74], [40, 129], [173, 218], [19, 102], [167, 223]]; loss = 0.014816 low_pass_filter = 0.300
+Epoch 0: | | 36749/? [6:25:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.0train step 36750; scene = ['fb5aa8d8a45edf21', '9a6d229b5e17f15f', 'ffe6d2b64af58da7', 'aec362125b51a0eb', '4d37415c5fff395b', '2151d155433a24b8', '357c71d79595fde4', '4c4372829996aaea', '2a8ad97be538b3e6', '150884e851a8da6c', '47c95716c4f414cb', '3d1b2cdbf178875e', '30e603963529873b', 'b40e61afa21e81e0', '09f980865436e18a', 'af86063cb2beb55e']; context = [[46, 95], [7, 70], [78, 166], [48, 104], [6, 86], [50, 103], [12, 65], [11, 79], [118, 207], [8, 70], [9, 82], [24, 86], [2, 69], [39, 99], [34, 117], [29, 92]]; loss = 0.014654 low_pass_filter = 0.300
+Epoch 0: | | 36759/? [6:25:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 36760; scene = ['a6e57377594a7a40', 'e70318df450ef2d3', 'a88aacae0caba416', 'd2296281f2cdccf2', '66b805afc45e8357', '7e9ebe40970c2a30', 'b0a6f8dc91bf958d', '3ec0d0ccf599700f', 'd634cf82d36cc569', '5450797888dcd06c', 'bb80f7a48ed9c0a3', '348b1e8ab15f2c59', 'aa3fc2c24b0502af', 'f5bbbd8eae49d50e', '20834d8e45bbdbb5', '93db1dea76cc6be7']; context = [[15, 80], [97, 157], [26, 73], [92, 150], [3, 81], [9, 71], [18, 105], [52, 98], [169, 250], [120, 200], [66, 132], [12, 96], [4, 88], [48, 112], [9, 76], [4, 50]]; loss = 0.015518 low_pass_filter = 0.300
+Epoch 0: | | 36769/? [6:25:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 36770; scene = ['c3b82a52e6317dcc', 'abffceaf0098faa8', '1d08d09515970972', 'db085f4da5bb3a11', 'f76db35ccf517018', '98b99eb5c3bd9603', '59de2764607e1b8f', '1a251dc2dac5cd26', '849bb6781ce6dd59', 'd8100e3a65dc0be4', '041961a78dfa080d', '18ba931a508cfce6', '36047ec1694f9d49', '79a9385753d426bc', '863e3470b4bec698', 'f4f30c940e7c5d0a']; context = [[13, 65], [0, 52], [10, 63], [20, 104], [41, 116], [4, 52], [206, 251], [0, 70], [34, 93], [204, 272], [70, 144], [27, 98], [1, 65], [207, 252], [143, 218], [29, 99]]; loss = 0.014787 low_pass_filter = 0.300
+Epoch 0: | | 36779/? [6:25:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 36780; scene = ['e1bc9239003a5abf', 'e5b61893af5af503', 'c2057db756174225', 'fce83ce9fd901e10', 'bdcb6598be7b9526', 'f031d05503fbf499', '9b2ed1cbcfce0907', 'b8957b5a607ba2f2', '63232e078598c9c8', '9b73ab94b5c43711', 'd11ebc30ee032c3a', '56f36de97a65d213', 'b2789c1a5c127a02', 'ee4dcc640af50e65', 'a56e2c19e91b75a5', 'beafcc712b6557c6']; context = [[5, 58], [1, 51], [2, 58], [175, 229], [49, 122], [55, 132], [66, 117], [4, 69], [1, 75], [0, 57], [2, 50], [69, 126], [2, 72], [0, 71], [96, 178], [34, 118]]; loss = 0.012572 low_pass_filter = 0.300
+Epoch 0: | | 36789/? [6:25:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 36790; scene = ['916b86f95631b480', '9a4d4f8962081428', '6ec5fec42f9856de', '4cbfe8634b73a1e6', '91fe7fba685c53b0', '0aacb7ba20d5b2de', 'ca47232b7dfb2089', 'fa9f019e1226ba08', 'e4d53cef4b37c36e', '1afaf4b6621e0f5f', 'd565a415518bd68a', '8e072e82a4158afe', 'b43eae80d9b59fae', '3b5fcd4d1a5496ae', 'd24bb3503cb81519', '5aea64e123ab1589']; context = [[3, 66], [69, 141], [7, 68], [68, 144], [154, 221], [47, 110], [147, 205], [35, 96], [63, 126], [27, 81], [180, 238], [14, 66], [0, 69], [42, 106], [22, 101], [86, 158]]; loss = 0.012528 low_pass_filter = 0.300
+Epoch 0: | | 36799/? [6:25:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.0train step 36800; scene = ['bf8ad1259257dc45', '1d93a3fb8b07028b', '886a2cd1ef72b491', 'bfa48646aea12d4c', 'c6f1488495990249', '6ac77903c85a136d', 'a59032b47f1dfff0', 'fc2059a30fa154e4', 'cac84a71e48219aa', '5dbe8c5a7cd369f3', '4d47923e78e568e4', 'd0342267434bde9b', 'ab8e85f5557ce4a3', '75299e01a10d0b2d', 'dedbccf1aa181b02', '7264da2e5617c4da']; context = [[0, 47], [28, 91], [3, 86], [67, 120], [79, 166], [1, 79], [24, 90], [0, 70], [91, 154], [20, 102], [11, 78], [51, 97], [3, 57], [20, 73], [65, 140], [49, 103]]; loss = 0.013858 low_pass_filter = 0.300
+Epoch 0: | | 36809/? [6:25:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 36810; scene = ['dc4b01caf622c778', '69937c2efa2c110b', '0c7cb5d7206b8f56', 'a895746dbfcae9fd', 'c53e0b350f04f159', '64327b991f165570', '351b8ee067a5b409', '4be6e03316270eda', '702d6cd812ef150c', 'e45fd910f1e78bb9', '0a024fea841197c1', 'f1f45ac7469e567a', '574e308d294ac41a', 'efc29d2b260db828', '584e691ee4eef874', '385c572550651012']; context = [[85, 151], [42, 123], [82, 167], [18, 75], [15, 79], [42, 114], [20, 104], [132, 197], [0, 45], [105, 154], [10, 77], [20, 100], [8, 61], [23, 81], [83, 159], [225, 272]]; loss = 0.011714 low_pass_filter = 0.300
+Epoch 0: | | 36819/? [6:26:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 36820; scene = ['42158adb6f145f4f', '52e8de02bb42c2b3', 'c201929c01543ff8', '2dae1466bcd53a60', '74a2add23fb6138e', '405d26cdefbc4e7d', '7fc67d683924a022', 'cbcf75cdcf158a97', '74ba959eb3b33654', 'b061784000b19e43', 'e2b1f82a439706b8', 'e06779c191688093', '6f874533f773782f', '06305d12bda0f8d1', 'e1bdea7706379ebb', 'f30872b887eb8b3e']; context = [[0, 46], [4, 57], [52, 99], [0, 47], [19, 74], [55, 125], [47, 100], [38, 83], [55, 127], [3, 60], [2, 66], [8, 62], [131, 206], [3, 77], [27, 88], [7, 78]]; loss = 0.012214 low_pass_filter = 0.300
+Epoch 0: | | 36829/? [6:26:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 36830; scene = ['fb363e2a9e955254', '7f86cc612b930ec8', '8d40edc936f98580', '42232760cf2895c0', 'e5b2e476d8964707', '4fb3db43b25c1b5b', '7d4ae8b068dd56e2', 'c59cb17aac770c33', 'db252809f42d6640', 'c96c6f277ad3d8a2', 'ac45b05af29c498b', '378ac553caf21e37', 'f68d8734f10dfcb1', 'fa9c60683a0709cc', 'e63b32dfdc4e327b', '4cb8de733f47dbc4']; context = [[84, 130], [41, 103], [0, 45], [9, 70], [35, 89], [0, 85], [10, 68], [1, 91], [19, 90], [14, 67], [3, 63], [0, 62], [60, 113], [0, 59], [6, 69], [71, 147]]; loss = 0.011155 low_pass_filter = 0.300
+Epoch 0: | | 36839/? [6:26:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 36840; scene = ['017517c688f46265', 'e9668cfb7fbd0f26', '3093cfc489c8cd2f', '224c90a016589fec', '4d850750a62bd77d', 'dd5bde1ccda76492', 'cbb133671b625ca2', 'ede431bc93326650', '4d65c764fda63e65', 'b6c4901a41fed652', 'cc683bd8c751ce99', '522c151d9f3eee00', '7acc18a56014e4e4', '00f45c6397bb2b04', '4a44f7aeae26fe1e', '29565476412f80d2']; context = [[34, 115], [4, 63], [73, 144], [70, 128], [185, 265], [188, 253], [103, 155], [12, 59], [43, 121], [0, 45], [38, 106], [17, 87], [149, 225], [35, 125], [7, 60], [126, 201]]; loss = 0.016442 low_pass_filter = 0.300
+Epoch 0: | | 36849/? [6:26:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 36850; scene = ['0b31e02e9b30d53f', '60041cb85703cfd4', '4dc998a7ac265049', '70deadad561a7c59', '21b7991bce6e5630', 'c82fb4a28a0819f2', '35878695a2ff24ac', '2de6f75ff7a7575f', '4f8f97692c8b6ac9', '84c580445051e204', 'a66b89aac7e775d8', 'fba4cc575a011d72', '21a72bef7976762e', '4fcd6477d1537474', 'cec551a67db7dd73', '7cc99f81c5ff3463']; context = [[51, 126], [1, 78], [0, 58], [109, 199], [0, 70], [215, 278], [10, 66], [193, 257], [0, 45], [30, 107], [64, 122], [2, 71], [18, 70], [60, 138], [1, 85], [1, 55]]; loss = 0.016259 low_pass_filter = 0.300
+Epoch 0: | | 36859/? [6:26:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 36860; scene = ['519e791a79112caa', '9bd2946da7cce42f', '664ad76c825a89a4', '661c9d87c961a0e3', '6800182ce64325f0', '356065de0851f6fe', '60b8121fc6fac480', '402329e243df3834', '111a2975a86f6e89', 'b1c505350a76d200', '0f1770edc4686804', 'f842fc3a048073e6', 'c7c3770350b9d958', 'fa45ba8993573358', 'a95be6b28b7e04c1', 'c60772b5e4c787e0']; context = [[66, 156], [26, 89], [0, 45], [25, 96], [119, 191], [0, 48], [17, 70], [2, 69], [49, 135], [1, 81], [0, 53], [0, 58], [13, 89], [7, 85], [9, 86], [39, 105]]; loss = 0.014491 low_pass_filter = 0.300
+Epoch 0: | | 36869/? [6:26:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 36870; scene = ['857b8b79d1d97fc6', 'cfc74e7e4416207c', '90b04edfae620c63', '2da233b5a1fdf1e3', '0fe10b5631a7ef35', 'ee8ab2f1852dbad4', 'bca02cbb5d54d742', 'e6b2177b246a6235', '23ddd033854eec57', '6a54293527f78617', '69b057dbd2302168', '009e7b2d81e10364', '4c59acc6f25bd624', 'c73baa525c7917c3', '336b3140d9d8bebd', 'b6f5561feeabfddf']; context = [[2, 75], [11, 60], [29, 117], [162, 212], [153, 206], [24, 112], [39, 88], [9, 78], [9, 57], [7, 97], [30, 95], [17, 68], [35, 92], [17, 65], [52, 99], [4, 64]]; loss = 0.014136 low_pass_filter = 0.300
+Epoch 0: | | 36879/? [6:26:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 36880; scene = ['cb8f7eb43dfa2f32', 'ed6fb506dd413854', '7a313a364641aae5', 'b7393e5e7dc3b8de', '0502007a342a857e', '38acbdcbe3c452a5', 'bfb5e32d7a2589c7', '6e5216365c5fe309', '4b44c69940828bb3', '68c309d6d9f94887', '1e9311bf323b59b6', '1d5e8c276c71ff31', '90e0d93ea176275f', 'af5e846c6fff8169', 'cbc08c9bc0c04b77', 'ae921cd4da162740']; context = [[31, 80], [34, 88], [16, 64], [93, 155], [0, 77], [78, 156], [29, 79], [16, 66], [0, 89], [10, 69], [84, 131], [41, 112], [0, 58], [1, 62], [35, 92], [16, 88]]; loss = 0.014918 low_pass_filter = 0.300
+Epoch 0: | | 36889/? [6:26:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 36890; scene = ['715c63bb45248252', 'a8429958dd90fefe', 'a9f2052b7d3608a7', '186027b25dee6234', 'dcfe017a032faf61', '9d7337ce46604147', 'a26a4e80d45ff758', 'd9eecbe208f90b0c', 'e7841af4b7538263', '80d18f8705a70093', 'e90baa038f233699', '28a588c2c070a86e', '7aa4e4e4d61cd4db', 'dc35c77570c24ea2', '8bf81bba5bab3b3d', '49a2a8b6c115277b']; context = [[8, 76], [5, 63], [131, 186], [17, 107], [28, 81], [3, 80], [19, 101], [16, 64], [2, 79], [45, 123], [0, 81], [138, 221], [41, 98], [0, 57], [9, 67], [7, 75]]; loss = 0.013964 low_pass_filter = 0.300
+Epoch 0: | | 36899/? [6:26:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 36900; scene = ['3f324aa70bb1beb2', '75a94c46c20c6c93', '8df6a8f9f01e468c', '651a9f768e528c0c', '6a3f09ac3efff60f', '9a96e3934ac1f20f', '15cdc58fd7076c73', '8b9ec683f13ccd82', 'd810f4eac26218ac', 'b9f601fa5ccc54e6', 'ccf427298e1906c6', '80577c02d0925e08', '9f0eb311381bcfe8', '1e4b301e3edb5c73', 'c4445e8e4ab072e9', 'e50b7a3647d324f9']; context = [[107, 167], [36, 103], [4, 78], [21, 107], [3, 90], [5, 66], [28, 98], [26, 75], [17, 85], [44, 107], [105, 178], [3, 68], [10, 74], [171, 223], [143, 190], [94, 175]]; loss = 0.011989 low_pass_filter = 0.300
+Epoch 0: | | 36909/? [6:27:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 36910; scene = ['162231c990ac2cd2', '5ee6e3848a35091c', '2fdf1a58e1920cf8', 'b30d4ff3bb14e079', '774aca02e8b8b2a9', '592c5f3839bd3b3c', '0d9483dc76901c4a', '59baa163bc171083', '19d96b6971317c11', '44622d3502746b3f', '4a7cdb52e115a287', '8fbdd274e2aad712', '6a4f9df3e53abd9f', '225b13acb75305bd', '8003d7f1ce1ddcf1', '23f62714f8f083e3']; context = [[0, 49], [15, 75], [75, 164], [2, 62], [44, 93], [188, 238], [131, 185], [2, 68], [5, 64], [58, 141], [25, 87], [77, 166], [78, 138], [1, 67], [35, 102], [2, 62]]; loss = 0.012267 low_pass_filter = 0.300
+Epoch 0: | | 36919/? [6:27:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 36920; scene = ['06a5584434579664', '3c13718c6eb48df3', '693b3955c59a2c61', '0cf733dbbb0e017f', '9cfde553d1782ed4', 'e99b8e7d2791de5a', 'c65c4f335b912414', '152c068750a9a9d2', '3c5825296fdc2a5f', '7772aec9b0479a5e', '6692c7ea8af5d77a', '99e7a4ff1897a94d', 'dcfb0ddcac6008e6', '48bfe6a23972602c', 'b6378b9a8e0ab15e', 'd713d22cd9d67c5d']; context = [[10, 66], [86, 140], [4, 76], [126, 179], [2, 59], [19, 70], [7, 53], [125, 201], [48, 134], [50, 133], [46, 107], [17, 74], [1, 80], [35, 81], [6, 86], [4, 64]]; loss = 0.014090 low_pass_filter = 0.300
+Epoch 0: | | 36929/? [6:27:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 36930; scene = ['c26c2e3257c2d464', '697e5db37b8f4789', '2a02926202215095', 'e559f1da60a5eb79', 'f940dc24769c332f', '8b8fc6108cfd00c5', '01f9c3192976f699', '876966ec7ad43afe', 'e393deed031f2128', '0cd45f1a752698f6', 'b69103386f5db304', '899b260d3fada5d2', 'f71fef223090099d', '084ecb5641790e02', '2e23dfa9044cec15', '08e11b45c331ea9e']; context = [[28, 101], [138, 225], [55, 116], [3, 69], [27, 105], [5, 79], [0, 45], [31, 110], [10, 61], [123, 207], [21, 100], [60, 111], [16, 87], [23, 74], [167, 247], [11, 61]]; loss = 0.014417 low_pass_filter = 0.300
+Epoch 0: | | 36939/? [6:27:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 36940; scene = ['3d3facb1425b30d2', 'eea4d2f46db72095', '5e0d1688b8de8814', 'c0c40d7196c94570', '18622e59c80cd655', '0ae6dfceec6e70ce', 'f3aaddb01fc4665f', 'd6c7ef943acb2490', '28bfe85ca61fb024', '89eecc00bad5387b', '9be2acc7d6ac0fa6', 'd984bab8e3ff15ab', 'c7c758e7c2bae0e8', 'dced37867a7d4013', '871acc3faa388c4d', 'ef4984e6689e673a']; context = [[56, 102], [3, 93], [10, 68], [4, 75], [68, 124], [0, 47], [0, 45], [17, 67], [3, 79], [24, 85], [37, 99], [2, 62], [9, 59], [8, 82], [4, 86], [90, 152]]; loss = 0.014702 low_pass_filter = 0.300
+Epoch 0: | | 36949/? [6:27:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 36950; scene = ['1af546eaa729cc82', '668921a5f8dc2216', '3d3c025827e2496d', '6866b72f59812142', '56bd38a5cce7b138', 'f5b968fca82ee130', '5bac748f6d427b67', '954ff8679dd88e9b', '618fb7b305bebf4c', 'bc4e4c72bee6fe49', 'aef8722ceedd6c5a', 'f935d6d91d6b740e', 'e41b102e225468ed', 'f19f4b64db82994e', '2f073899e03ce548', 'd0070efeb831b3c6']; context = [[7, 78], [19, 93], [134, 220], [26, 72], [76, 130], [0, 45], [0, 47], [59, 110], [4, 69], [22, 105], [47, 102], [43, 103], [0, 62], [63, 131], [33, 87], [88, 178]]; loss = 0.011554 low_pass_filter = 0.300
+Epoch 0: | | 36959/? [6:27:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 36960; scene = ['ba5184a036dfba7c', 'd0c197a8436159be', '5190e7583e7c034a', '389b5b722545a8db', '99e4757b3ec84a1d', 'af1459f48e74c6db', '9ce18e551df6c324', 'f45c0dfe6693c28f', 'f6751290bd44926a', '3169a93d40545f53', 'f22018a91c0e4afe', '4581b41b8a316a2d', '3bf6279c60b66955', '9668c5dabb3bbf42', 'f88b8dd03ece49f4', 'd99560f0aa44a3d8']; context = [[98, 170], [32, 110], [26, 113], [115, 200], [2, 55], [18, 76], [48, 127], [67, 147], [11, 85], [0, 90], [84, 173], [44, 105], [15, 105], [114, 180], [6, 66], [20, 80]]; loss = 0.017637 low_pass_filter = 0.300
+Epoch 0: | | 36969/? [6:27:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 36970; scene = ['99d6035714f21d81', '19a6008b9f6bdae3', '72d4380bfe082bcb', 'f5733786f370ff53', '617dca58ae288a19', 'e4d41618c44cfb3a', '02d8bb7d9a697e4b', 'efd0fc40e46dcabd', '99a479337d304313', '9284360e57fe697f', 'cb5f6c0661ca22c9', '32180fdde0a2f217', 'add63edd0fc1cba7', '87e15183ad6df63d', 'afde61f51906fc5b', 'b35e13c7d602603d']; context = [[0, 45], [12, 100], [21, 97], [34, 112], [17, 63], [19, 107], [22, 105], [63, 147], [9, 68], [3, 61], [55, 118], [21, 66], [2, 79], [0, 83], [45, 104], [4, 76]]; loss = 0.012208 low_pass_filter = 0.300
+Epoch 0: | | 36979/? [6:27:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.40, train/active_min_children_step=1.0train step 36980; scene = ['2de527ecbeb3b6cc', '720f015665e06ccf', '983ee027f86ceb22', 'de6a73a44fec7624', '34854bce89063360', 'fec57bea1827bc6f', 'a2f5237c4ff5cc75', '46f6304d4b29c976', '3e8c9b739d197f71', 'aa054e5a77b2fe77', '02b09bce2ef84fb0', 'f9af1a254b731d07', '275f27cc4db7568b', 'ab0239d102bf33a5', '1a5022549d2718ae', 'cbb4f113b5a6a896']; context = [[30, 83], [2, 52], [153, 238], [3, 72], [7, 84], [2, 61], [127, 217], [8, 88], [14, 82], [5, 54], [112, 199], [93, 144], [18, 96], [62, 120], [200, 266], [49, 132]]; loss = 0.016809 low_pass_filter = 0.300
+Epoch 0: | | 36989/? [6:27:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 36990; scene = ['fe0e0778afc3f27b', '303a4ea29cb63cbe', '42014bc343bbe932', '83192342586c4884', '4fa0b5f07c785cd6', '4fa8ea842dc6c780', '6fad7d90b7b6d111', '215185a803534ca3', '9bc173c816b90dad', '83638041d9f72afe', '5df49d0775250a66', '37e479a89290ae52', '7ab4cf76097be8d4', 'c9e55a597e009625', 'a3427e7e23a23b2f', '2c530bc6a41e5488']; context = [[48, 130], [26, 84], [87, 165], [71, 130], [99, 174], [99, 175], [8, 53], [13, 65], [9, 55], [52, 131], [176, 226], [51, 112], [47, 112], [35, 80], [30, 79], [38, 92]]; loss = 0.012266 low_pass_filter = 0.300
+Epoch 0: | | 36999/? [6:27:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 37000; scene = ['155931a346595728', '146f891877f35000', '856d6c28878d2055', 'f82f3902beba630d', 'a16dfe2ead47a813', 'a31eadf1684fcffe', '70a4150512a6795d', '17bd051dfba24889', '90db803cbda4c4e9', '6e699ada5d23f8c9', '20afa7a8d4e0f4bf', '36717a2b0062a25b', '188c4d1c3452fd73', 'cdf469e202a5472a', 'd30939bd64212027', '5ad8fd8108ff1453']; context = [[111, 173], [9, 65], [3, 79], [84, 159], [5, 73], [74, 151], [76, 129], [58, 115], [68, 120], [34, 81], [27, 90], [60, 105], [39, 107], [4, 52], [0, 89], [8, 90]]; loss = 0.015117 low_pass_filter = 0.300
+Epoch 0: | | 37000/? [6:27:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0validation step 37000; scene = ['86b75053e13f6172']; context = [[27, 72]]
+Epoch 0: | | 37009/? [6:28:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 37010; scene = ['6ee631bcd878630e', '14765a41ce267f7c', '9cea789f066202b4', 'b1d2c60a3ac8a360', 'c0e14416e501d5b2', '31be810a3c76377f', '814d0c2bfc701a48', 'ab1e0faf35dc0be5', 'c98d08efbe25cc18', 'a4cce98abe0edccb', '10e7b2b1f440fc8b', '37cd61314b1e47c9', 'a5ca9ae985c618c1', 'dabe803863d55976', 'bd0130776610b949', '5686977183a1ac27']; context = [[35, 123], [178, 245], [65, 115], [13, 63], [81, 135], [48, 104], [176, 223], [0, 61], [1, 79], [6, 84], [110, 171], [24, 94], [0, 88], [12, 75], [0, 84], [7, 66]]; loss = 0.014163 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 37019/? [6:28:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 37020; scene = ['9d37761f3e526b2e', 'fd19a3e4b1433dfe', 'a34d97a9bdae3aa1', '33713bd6ed0d6848', 'a8964dbe9bd1945e', '47569a0a8b03cf52', '5832b4ee7ad1000c', '794d1ad842fcfa28', '7be36d04cda0e9fb', '1ea3205d7fb87f3e', '88c6dd400bd1a841', '94a5f9c34755c629', '9ce26bcc731646c4', '39e607eacf75eaf7', '91706de6963638eb', '87dd19e287c2b139']; context = [[4, 57], [11, 59], [21, 95], [76, 131], [4, 88], [19, 82], [3, 84], [3, 70], [1, 64], [181, 250], [0, 45], [22, 79], [9, 54], [28, 91], [17, 97], [198, 275]]; loss = 0.014956 low_pass_filter = 0.300
+Epoch 0: | | 37029/? [6:28:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 37030; scene = ['6b3a529aebef3732', '913dce10ee8c7f64', '5d12f9238f0f4f03', '74b16aedb01f395c', 'a4af68cb01bc3f07', '485d1c95729aa606', '8aacbb4c1ff41b76', 'cd255701ae031fa6', 'b0eadaebe0c28aa7', 'fdce883f5cc3e5cc', '6b6931797480dfdf', '00168ec12dda389c', 'e6ef1d49133d90fa', '2c4541ba8f41d7a4', '3504225f73ba7740', '7cff10bf133f4eb0']; context = [[0, 52], [9, 79], [58, 137], [28, 94], [7, 87], [50, 132], [14, 103], [3, 64], [28, 80], [47, 96], [98, 165], [115, 182], [0, 70], [53, 133], [10, 95], [22, 108]]; loss = 0.014245 low_pass_filter = 0.300
+Epoch 0: | | 37039/? [6:28:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 37040; scene = ['242ebdb9deff772e', 'b3474e5972d2627f', 'e97244e0e99963e0', '8972e46a898a8b97', '97953d7daa82f0c9', '627d5064526fdcd6', '8c600137777af401', '0ef08e640accad38', '531a68aac3449fc4', '109af087e1df1db2', 'ba86985e5b570895', 'ed17636900e5b186', '534d424d97e6432b', '4ef3549969cd96e9', '90cc75159b75b2c4', 'a1f799dbc435b6b8']; context = [[9, 75], [2, 55], [62, 118], [0, 75], [14, 79], [169, 243], [17, 101], [7, 78], [57, 144], [10, 69], [83, 145], [33, 101], [49, 95], [114, 192], [57, 144], [15, 95]]; loss = 0.013792 low_pass_filter = 0.300
+Epoch 0: | | 37049/? [6:28:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 37050; scene = ['976d6143db761f55', 'c0a8930b06ab9a0c', '37cd61314b1e47c9', '23eecb3bfb301179', 'db6af3fa70500a44', '88afe2f77a163f98', 'dabe803863d55976', '8e17c09403c84d32', '98c650ab62b10ad3', '100c4b1ba5f0f5a2', '8a9a72e312f128f1', '3674316ecddeadfb', '57db819c1a84d2d2', 'cca813837c9cedbb', '90e977ece4eb6ea1', 'aca85527a5a07df9']; context = [[49, 125], [45, 99], [75, 121], [6, 96], [2, 81], [1, 77], [14, 79], [0, 70], [38, 108], [39, 108], [2, 77], [0, 83], [166, 253], [77, 131], [95, 145], [13, 70]]; loss = 0.012615 low_pass_filter = 0.300
+Epoch 0: | | 37059/? [6:28:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 37060; scene = ['06e9f26b5f803220', '072ace91e2fef373', '270ec2d099edfccd', '1b2e793d39caec3f', '25dd017c409dc6ff', '69ec027b22fd5db4', 'e7fec1ee1cf98b16', '3aa5ea79245df8b5', '566f41051767b7a4', 'ed3fda3e5a79de50', '29c79f791d50eb63', '1918093c072f7cdd', '17db1dd300d539f5', '211054510cc7e332', '180c4ba9f87f427d', '8463e86cf267681b']; context = [[37, 118], [16, 89], [193, 270], [21, 88], [19, 65], [2, 71], [4, 69], [18, 94], [110, 194], [47, 118], [7, 83], [30, 80], [61, 127], [3, 75], [166, 249], [49, 130]]; loss = 0.012469 low_pass_filter = 0.300
+Epoch 0: | | 37069/? [6:28:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 37070; scene = ['c3dde969dc900399', '9e633a922e716e6d', '1aa1bc85bad66297', '5be58e4d2ad059d0', 'a37aad7a34d52099', 'efdc4b57e1fb7198', '97e66229327692ad', '8be4cc3c5d1ecc42', 'd7fa9860667bd9b9', '4fc6848542c0dd7c', '5d250a0bdaee3653', '981ea5a0178ba974', 'a55c5825e25b380a', '0c7f4298ec3f892e', '3b4b2b3ef0219aee', '302ea811b8794cb1']; context = [[7, 65], [33, 105], [34, 89], [40, 92], [55, 109], [1, 55], [16, 64], [50, 101], [174, 253], [3, 64], [18, 63], [91, 166], [16, 103], [163, 249], [1, 62], [184, 251]]; loss = 0.015688 low_pass_filter = 0.300
+Epoch 0: | | 37079/? [6:28:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 37080; scene = ['cfa669d1520d3599', '0eaec5ae110ae727', 'e83dbd16dec37e43', '55bcbb1d21f88c27', '9b8641a671477a0b', 'e07b8e5f6e9fef91', 'f8b1b1dee0f06037', '6a3752b1792ce8af', 'db03a39f685c9f43', 'e6a8bd88834f30bc', 'ee6b9ef2d2ea8772', '992f1f0a1f9a6047', '3f4ca1ecea630686', '4dee72e8e4cd11e4', 'e5aaf1079b8dcad4', '53ccd432f245e010']; context = [[15, 73], [94, 145], [37, 86], [15, 71], [17, 79], [148, 211], [61, 106], [56, 119], [10, 81], [103, 159], [84, 156], [102, 147], [20, 77], [38, 90], [67, 114], [1, 83]]; loss = 0.012843 low_pass_filter = 0.300
+Epoch 0: | | 37089/? [6:28:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 37090; scene = ['fdf059b33b7658bf', '88af122546f860f2', '7b256ad1bcd23ed7', 'c157b53c9746c4a2', 'f9a4941889f045df', '7a7b8fa54cda95d6', '4e0c4c3f89aa70b4', 'cc4208ecbe94edba', '6ff4bea30b84b37b', '936403cfc9f2dc63', 'b8f9ee4f3c0559db', '1dd33197c6d3bb4a', '43e44e88bc273916', 'fcfd27c98731e0cb', '04364d8a8da17216', 'acc0f662d42adce1']; context = [[134, 180], [1, 65], [10, 65], [10, 97], [3, 83], [25, 86], [9, 92], [81, 162], [22, 68], [3, 93], [29, 118], [32, 117], [49, 113], [22, 91], [1, 53], [85, 172]]; loss = 0.015389 low_pass_filter = 0.300
+Epoch 0: | | 37099/? [6:29:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 37100; scene = ['42509afdbd820d6e', 'de1d04004d4062fc', '275070dacb6e047f', '757b92a6e58b1e5c', '0cd8a0d1b2a0c591', 'f967beae04895cec', '978a31a0cafe759f', '61eb63f56957a664', 'b815793db3479431', '235e9b080e8a3d70', 'c998cf736c1af722', '844adf3eb9d92e29', '6141f79354532968', 'ce3662d2a6e6d4b0', '5843ed0dde576dbf', '75c3d00ee8651e31']; context = [[2, 60], [12, 86], [82, 141], [22, 94], [15, 69], [103, 173], [31, 118], [151, 236], [15, 67], [47, 97], [22, 86], [29, 106], [9, 81], [1, 60], [81, 169], [15, 88]]; loss = 0.013233 low_pass_filter = 0.300
+Epoch 0: | | 37109/? [6:29:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 37110; scene = ['2e06f7b62880ccee', '0c9c3f99228a95dc', 'a5b1d005aa7077ca', '55f9c6bbcedeba49', 'cb75c5597898298f', 'dc8ae2b488cf21b2', '6002268bbef585b0', '3c21c04d4fde1f23', '919cdfd8793036a9', '650f2bde36e97c7c', '402146a914e34bd1', '3be149890a0c3619', 'fb4d4223204b8761', 'af56b0f58fe563a0', 'd173fad8e92ec1e5', 'b1efa62d2742528b']; context = [[1, 50], [13, 68], [14, 66], [33, 80], [15, 62], [16, 80], [21, 85], [16, 61], [126, 180], [34, 107], [35, 119], [2, 59], [27, 117], [5, 50], [10, 85], [11, 92]]; loss = 0.013823 low_pass_filter = 0.300
+Epoch 0: | | 37119/? [6:29:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 37120; scene = ['36b7ccfe63ee6880', '981396abde688148', 'c3097f56d04659c0', '2eca62a782bb02c8', '287fa3311585b47e', '2a7a65c998d56be7', 'c4b27a45d91f3791', '8de516bd1928f1cf', '97146039047ffd37', '57122ccaf5489d33', '04b592aaa9a9a779', '931f33d8a5df55be', '89f6084cce1f05e6', 'f35f4e214dcf6167', 'f273b89e74887758', '3d13145acc97eef9']; context = [[3, 57], [20, 82], [12, 77], [3, 89], [112, 180], [42, 116], [17, 71], [104, 152], [0, 51], [52, 141], [19, 92], [88, 158], [217, 272], [32, 106], [0, 83], [42, 113]]; loss = 0.016783 low_pass_filter = 0.300
+Epoch 0: | | 37129/? [6:29:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 37130; scene = ['63af3a14bf816d69', 'ec08b334922e9302', 'f63c732a09f442dc', '8b7c1e7466825d2d', 'fedac3f5aef8fd81', '9024684dd45d925a', 'b194d521d939fe38', 'd5384f379810516c', 'b75d90c65923526c', '4bdef6c0c3e06ae5', '541ae18b8f936d11', '0d93e2b216166389', '50194a15c7538e1d', 'e89204339a7669ef', 'a017b0cb12cc18ab', '3148978637e8f426']; context = [[54, 108], [23, 82], [179, 229], [2, 51], [2, 59], [9, 61], [0, 85], [128, 175], [11, 101], [49, 122], [177, 260], [71, 132], [66, 117], [6, 67], [12, 62], [146, 236]]; loss = 0.013124 low_pass_filter = 0.300
+Epoch 0: | | 37139/? [6:29:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 37140; scene = ['82b8b4c5e983729f', '31ba0028326b8b17', '8d4018b86dd123ec', '3836fa3dcc6aacc6', '6515de6c81e7c80c', '2726f059d69c25f4', '50c7f40e49739339', '59e04cb072686a97', '5f45c360d76a3b12', '1b8abd07e10f4e79', 'f81c1b6ddc6962a0', '3a13e56691c8396e', '122d66974706d78c', 'f5b8734a98679522', 'ffe2e1bf600650a7', '951befbf4cb5a337']; context = [[8, 75], [3, 74], [70, 140], [2, 48], [20, 70], [24, 80], [4, 84], [131, 180], [49, 120], [29, 92], [51, 127], [8, 63], [28, 99], [15, 76], [107, 194], [162, 246]]; loss = 0.012396 low_pass_filter = 0.300
+Epoch 0: | | 37149/? [6:29:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 37150; scene = ['32da76f97d0e3195', 'a75e999d5b3a867a', 'ce1a6dfcc6aff6ec', '543dd7c60b5d7513', 'bc3bc9529bc9e750', '44aa62a446f8fa5b', '5dd78fc663793308', '3d3abd9680b7d2a0', '39b540a1b8a1c75f', '912871cc5e0b2d6f', '9502702c8effbd09', '9e224a047e1248fc', 'fe50cfbbdd716600', '67bf61a416fb50db', '1e7a40e218244c8e', '7f9fc192d813b6e0']; context = [[14, 100], [9, 71], [19, 77], [3, 61], [192, 255], [174, 232], [0, 85], [0, 58], [81, 147], [23, 69], [121, 211], [11, 58], [77, 158], [37, 102], [55, 109], [35, 89]]; loss = 0.012610 low_pass_filter = 0.300
+Epoch 0: | | 37159/? [6:29:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 37160; scene = ['e81fd25426cbbad2', '854e67be5e2269ae', '88ccb97711c25fc9', 'bd5ca4829283b11f', '660fc47d4cb5662b', '067a40549516856a', '00104677f98ca3c9', '539960b59f9c0dd6', '3bffe257fcca540e', '8831d63d3ff8e37f', '653f2e3ae30c6720', '18bf99f402e02a0c', '70f2d67ee9323700', '3b405ae88aee9885', '4f7592dffa986b7b', '47e80bd736eac6eb']; context = [[5, 83], [119, 191], [92, 175], [5, 79], [168, 219], [2, 48], [3, 74], [66, 127], [3, 62], [16, 63], [64, 118], [2, 80], [96, 157], [20, 77], [2, 57], [6, 71]]; loss = 0.013243 low_pass_filter = 0.300
+Epoch 0: | | 37169/? [6:29:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 37170; scene = ['c0f577534b342324', '292ce0e1c772a2f9', 'd5065ab056db1de1', '42e4ec273becc513', 'dff2e156c7f4a1a6', 'dcebdfce0a2e58ce', '996c2ee081cda2d2', '7badba95b5be610e', 'a0cf7452376463d7', '3d558b33e360e107', 'e30090f2ddfe76ec', 'cb5724b7a444ffda', '1db027885e90c8dd', '5d54686ded433477', '2c4d908d5e4461a7', '9191f8eacfc18312']; context = [[34, 81], [8, 86], [24, 87], [1, 52], [32, 78], [8, 67], [131, 199], [50, 123], [54, 108], [12, 62], [96, 158], [16, 103], [50, 100], [8, 56], [9, 66], [10, 84]]; loss = 0.012640 low_pass_filter = 0.300
+Epoch 0: | | 37179/? [6:29:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 37180; scene = ['f6b893385a57ce05', 'b1bdd3bf0c31cb6e', '5c02e9bdee9af8b2', '1c088343d406e9f2', 'a692aec682be33a6', '99fe2314ac87b143', 'ff5f6d67926a5c6f', '526c9eda661b3422', '57f2fa81dc0b87c4', '3a42e516714fd1b5', '2543c6e40d674a45', '72f0362508bf8b72', '8af1f5c103ea26be', 'baaa95e913e35b85', '5391dd1ba237dcae', '5b5d3661b854fc5f']; context = [[144, 201], [51, 112], [34, 96], [104, 150], [92, 142], [96, 158], [27, 112], [108, 178], [28, 81], [113, 176], [0, 50], [53, 115], [9, 82], [26, 73], [28, 80], [38, 94]]; loss = 0.014916 low_pass_filter = 0.300
+Epoch 0: | | 37189/? [6:29:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 37190; scene = ['ed1cd4f9d797bde3', 'f28bac496ee97345', '0bc0b77faeecd0cf', 'a5bcf7c72eb10c48', '5176c714d2e72855', '152d6d3ac836afd3', '7ee2c0f45d7cb0ac', '59e7800dec3fa9f5', 'cb6b282e7c44622d', 'c1397ab617a28acd', '3127753a1ad207b2', 'c7e6c867455b6f5e', '4fa0953d48afcc27', '9866971d2e8c5e2c', '0d0c9627305d2579', 'dea345f3faa949e8']; context = [[64, 113], [6, 67], [37, 110], [153, 240], [0, 58], [22, 98], [21, 71], [79, 155], [9, 85], [43, 107], [9, 58], [86, 137], [22, 108], [9, 59], [0, 88], [36, 82]]; loss = 0.013386 low_pass_filter = 0.300
+Epoch 0: | | 37199/? [6:30:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 37200; scene = ['6720332815eaa197', '7b949ef25a81b51b', '88afcc4cc17ad62c', '1d5822138fa0c718', '967cf97a932fa507', 'e7cc9824d4e7bc0b', 'f7b32305d6daa2bc', '813a4e0156fb58b5', 'b536906fec712983', '979d15f0f89f5020', '3d4e734e33cca787', 'fcd6f54e8de6486d', '7e4ae1abfc257f30', '7ec761021eb0028b', '65c4fbae3daf2d8e', '999960df0bd1b66b']; context = [[182, 238], [16, 85], [5, 55], [8, 86], [31, 95], [27, 94], [7, 66], [10, 64], [34, 121], [25, 103], [5, 81], [6, 83], [34, 87], [27, 109], [46, 124], [12, 87]]; loss = 0.014679 low_pass_filter = 0.300
+Epoch 0: | | 37209/? [6:30:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 37210; scene = ['771dd7ae3eb78329', '5c4a9e9bb823c7c0', 'dd7863197555a288', '0468b7da2eafae6f', '78081484672cbb54', 'e60cf7196454b27d', 'a7d417a7a9fcfdbb', 'ea70c43a5bc7e699', '1e4231e309776eed', 'b7eb5219c8161446', '9430e7b2e89849c7', 'e95157a508d02a96', 'c9fba70bcf4d476a', 'c4455ba36e39c8b2', '8c36ce2987991993', '398dbb8cbc0f82a0']; context = [[44, 132], [35, 124], [7, 65], [56, 108], [52, 130], [88, 146], [10, 61], [38, 88], [8, 77], [7, 95], [9, 54], [63, 133], [57, 105], [27, 85], [24, 72], [49, 130]]; loss = 0.013936 low_pass_filter = 0.300
+Epoch 0: | | 37219/? [6:30:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 37220; scene = ['a27f448e55637a5f', '080d56120107ef6c', '69d344c94d10cb8f', 'bea6fbb680b7dc9c', '7646ac2f8b5fdaa6', '3ab5ac4bb44ddf9d', 'a27e00bab20bc361', '6c192765224f7d96', 'b2b49ca6fb3b56cc', 'fbb3a7990b220120', 'e22210d29e49b14a', 'c00ec0b2644958d6', '90162fe1d0078131', '16f1043c73e5a4a1', '301216ec9baf9979', '3642118a8b48bcfd']; context = [[22, 77], [40, 86], [7, 88], [20, 92], [1, 53], [0, 45], [39, 93], [33, 103], [18, 73], [32, 91], [131, 211], [19, 88], [58, 118], [203, 278], [9, 66], [5, 87]]; loss = 0.014328 low_pass_filter = 0.300
+Epoch 0: | | 37229/? [6:30:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 37230; scene = ['7d3c068a11b1e216', 'b302faaf85d68118', '5689e72b35500851', '1646e50f202fc198', '23b04d76a35f8baf', 'eb131442106320ee', '32bd8458ff56bc07', 'f0d2bd621012431f', '94c24998ecc23097', 'b04ddf89db9147f7', 'dce3791efbb4453e', '94f19a13fb2a5171', '9e01fa07e911197d', '106b750ca62bc0ef', '75fed782416a53f7', '685f8dbbf5c8f207']; context = [[1, 58], [161, 209], [169, 224], [167, 217], [26, 116], [46, 100], [133, 218], [1, 49], [51, 126], [2, 61], [11, 68], [87, 170], [27, 75], [2, 65], [11, 92], [26, 116]]; loss = 0.014318 low_pass_filter = 0.300
+Epoch 0: | | 37239/? [6:30:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 37240; scene = ['0ffd385bf24b6e10', '7f1b2d73cffaedec', 'd6d035f2af6e9bad', '600f168a8eabe775', 'f730cfa1c51fc30b', '1d8f8faa8a7ec751', 'eb5e30080980212a', '1716266141ef92bb', 'c11e71447a5d1611', '9891775ff0c0e48e', '493bc1507d42236e', '26bb81e7d0386ca4', '827b5f9ef598da3f', '4eea57113034f634', 'eab1efb73477fc13', '4a79197f690d31b4']; context = [[38, 119], [26, 73], [0, 71], [0, 61], [7, 64], [3, 55], [90, 148], [4, 76], [6, 96], [173, 246], [64, 127], [2, 68], [13, 80], [14, 75], [6, 53], [11, 71]]; loss = 0.012062 low_pass_filter = 0.300
+Epoch 0: | | 37249/? [6:30:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 37250; scene = ['adf2d85c799dc1a4', '541aa65a8c4f173d', 'c796914f8f489602', 'a9ffa4a8880baf92', 'f8c02e18821b6cd0', '8ff5f069510b07d7', 'b54392dde102f10f', 'f2d21ce8d337b647', '23f0fc265b2564b0', '1c0a31fde0033a2b', 'da6cf0614307fc2c', '6eb834c86b832ef8', '7303b180402fa4e2', 'e546ea2c05f0ae2d', '3a8fefa313779e90', 'e6cc5c658999d195']; context = [[33, 84], [30, 76], [29, 94], [4, 53], [7, 76], [6, 78], [99, 146], [31, 81], [1, 61], [32, 79], [57, 137], [0, 76], [15, 76], [59, 143], [132, 184], [28, 100]]; loss = 0.016589 low_pass_filter = 0.300
+Epoch 0: | | 37259/? [6:30:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 37260; scene = ['f1b3a5ea8e5b5c49', 'd9121fd963a819a3', 'ab6600ef83892674', 'a7f2a84e3c3d2246', 'b8a31df5ed4b5201', '8c8b3abc5ee188cf', '8b5f8899f2dba87b', '3b0b68d41e6ba982', '23b93c505afa66ee', 'ba1bcba228f782e7', 'b1b3445652e40300', '4fd60025fa875e4f', 'd42aeef963416086', '543f5621335212a7', '8e87df9a5084ec87', 'd33f35a46b270c6d']; context = [[4, 57], [10, 75], [12, 99], [2, 54], [1, 50], [126, 200], [1, 51], [9, 86], [7, 70], [7, 63], [152, 239], [6, 75], [21, 79], [39, 84], [35, 83], [10, 63]]; loss = 0.012532 low_pass_filter = 0.300
+Epoch 0: | | 37269/? [6:30:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 37270; scene = ['45ebdd9175b3ce86', 'dfe3cbe9ca43aea3', 'a48622051ee5dad1', 'e57a57f50e6a5438', '654a4ef182f4e8ae', '7d7bf8fc97c29961', '2c38ebf17747a14e', 'c9ba8f17c6191867', 'c21a51e62f022171', 'fc6f8e4478f96b29', '2b787547ea496776', '2c15e1660674efd7', '1cd979d658358f39', '745d69753cdd09ed', '7b777ab44d56f0eb', 'd99c3d657cc31079']; context = [[37, 106], [170, 246], [15, 64], [17, 78], [0, 53], [72, 126], [33, 104], [58, 128], [2, 63], [12, 65], [55, 100], [5, 56], [8, 91], [30, 117], [12, 97], [15, 101]]; loss = 0.011531 low_pass_filter = 0.300
+Epoch 0: | | 37279/? [6:30:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 37280; scene = ['6e7d45c02959c9b6', 'b688484b9d71339d', '76249ef3f80465ef', '05c9807d2a5594d5', 'b37b4cd5b36f9aad', '7b28545e0b1de8d6', '089438611d6bb03f', 'ec1288c83e6931eb', 'd6fcd49f184ca9b3', '14aef9a47d9d0adb', '00f31074484587e3', 'b71eb67f42fe4777', '6e4e3ca312aeca89', '5bad86b53e6dc18b', 'b75e800d18bafa7a', 'c8041821e77b3d89']; context = [[12, 57], [6, 73], [24, 80], [68, 148], [22, 73], [57, 125], [0, 50], [33, 80], [200, 274], [41, 119], [72, 162], [99, 152], [40, 90], [6, 93], [16, 87], [6, 54]]; loss = 0.018007 low_pass_filter = 0.300
+Epoch 0: | | 37289/? [6:30:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 37290; scene = ['4d32322df2d07217', '2c592ba833a6b25d', '97627f597078b74d', '880427ff150f7b4d', '77fa5dd546763a54', 'e523dd4142272e50', 'b26193187c6ff85d', '9db0cc1479cfad9e', 'b7a7c88a93c8ecee', '2a27c3139ac2bea1', 'be6136d0071ccaba', '2810e2c99ba580fb', 'edacc56d3871cd40', '771a1d1d8a4f5d73', '3a57d0ca627205cc', 'aaadaa6f485d5d66']; context = [[0, 75], [36, 92], [43, 121], [7, 87], [6, 57], [156, 228], [60, 113], [10, 100], [146, 195], [132, 208], [180, 264], [52, 117], [23, 73], [19, 65], [1, 47], [32, 93]]; loss = 0.015718 low_pass_filter = 0.300
+Epoch 0: | | 37299/? [6:31:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 37300; scene = ['1e075825462bcf12', 'd8f7bae15f8ab6a2', '95a8ec31dc3225b3', '536becb86a3a1ef3', 'b0aa64d1288a459a', 'c6d6373111255a49', '7fa3478bcc7f7267', '8eefc5250095af5e', '2fb42c372e8039f7', '3181deb623385396', '16a6225598708d12', '06e5dbf49d6375ca', 'fcf4c93bd50c4f2b', '1832ee4a98c400fa', '75cb48a4c8049279', '3e7a68178efa113a']; context = [[27, 100], [18, 100], [6, 74], [113, 166], [41, 117], [4, 87], [1, 56], [12, 85], [57, 145], [90, 176], [13, 82], [3, 76], [22, 106], [48, 137], [11, 77], [49, 132]]; loss = 0.013273 low_pass_filter = 0.300
+Epoch 0: | | 37309/? [6:31:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=27.10, train/active_min_children_step=1.0train step 37310; scene = ['088f04409263c55e', '16f49e5091804328', 'fe11db7072e7666e', '896959276e244303', '65fa0a94fbe48038', '0d1436b89f8de224', '7fe28874e9a523e7', 'b639a1cf1156a8ca', '4aca0b9f5148e064', '446a7ddca0d1a28a', '921504f59fb80a42', '22248456bae063ae', 'e5915107a9c58183', '1996702577ac768a', '64508af4bf3b2c10', '336e6ce8417c1385']; context = [[21, 76], [3, 90], [42, 99], [71, 161], [2, 70], [119, 184], [2, 56], [4, 57], [36, 114], [5, 62], [3, 72], [176, 233], [0, 46], [13, 67], [0, 62], [11, 65]]; loss = 0.012226 low_pass_filter = 0.300
+Epoch 0: | | 37319/? [6:31:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 37320; scene = ['77c1ef193baf0a80', 'f8de6ddeeee4a948', '9931b92949a74875', 'c5faa3aabee36f71', '62d6461a71e298c0', '47ac3ca0d635f78d', '734b4d41bd350875', '67f3950d79626e4f', 'c97f1c4911931200', '89f107ba4891dfa8', '3378631b363f8814', '58860911781d94f6', 'c6d2893eaa53957e', '7a7904319dfba47f', 'c2ee2f915e1c060a', '0f541eb9c47f2749']; context = [[14, 72], [24, 102], [105, 156], [189, 247], [0, 46], [1, 53], [33, 123], [32, 100], [36, 114], [20, 96], [0, 47], [1, 81], [73, 135], [15, 77], [135, 180], [4, 79]]; loss = 0.013865 low_pass_filter = 0.300
+Epoch 0: | | 37329/? [6:31:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 37330; scene = ['3304890162555f84', '8cf8eefab5a62f0d', 'add32babab3b0aa0', '7cd91d0323b7067a', '5244830b7357365b', 'a06f1c55096a6e49', '60a93ae5bb06a238', 'b4622e3dc1200f6e', 'a54873f89d266195', 'b0c87a960cc0e142', 'f8a2ddd918dcecee', 'bc36023dc3113bd3', 'e045088757e72c54', '5b9d1cf99dc03ea9', '39f7c76ef42ac1d4', '3afed25f2ffc4864']; context = [[9, 91], [0, 45], [60, 117], [156, 216], [13, 89], [0, 88], [64, 129], [29, 106], [1, 55], [0, 74], [3, 68], [12, 72], [55, 119], [2, 80], [23, 91], [3, 58]]; loss = 0.017436 low_pass_filter = 0.300
+Epoch 0: | | 37339/? [6:31:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 37340; scene = ['bef206c32ad4b41b', 'a622560296708d3d', 'c66103cf29564bcb', '754a52ce12b77483', '51a1505d1556cd6b', 'c897303a7723198d', '81fd78f84209f2e1', '36107140acb611a3', 'c83232c6a4f0b035', '70a20d40c095d870', '3c15b2ce08b4d3eb', '41b80c5fb43019e5', 'f70ae846db4fddda', '8c710017b7fa073b', '7a7904319dfba47f', '58860911781d94f6']; context = [[101, 169], [18, 63], [0, 78], [2, 62], [28, 81], [2, 70], [20, 78], [1, 56], [38, 125], [12, 86], [14, 103], [109, 166], [0, 74], [77, 124], [35, 83], [0, 49]]; loss = 0.010197 low_pass_filter = 0.300
+Epoch 0: | | 37349/? [6:31:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 37350; scene = ['fd89bf7100bbab61', '65fd119cae53be01', '17675b4e73f05823', 'c9de4d71fde8bf65', '1484e9c4187a562d', '645567ee2438a9bf', '3b85815f3e1df080', '7a06eb9ada098378', '070f0f205e58ec62', 'efc8b93133b0f6f4', 'c82c5705fa8e6a19', 'b7f47dac8c0ae90b', '79b01e4345584de7', '9bbdffac7c93063d', '38313c7ce5d8fc08', '337dc31602bf2187']; context = [[68, 137], [76, 125], [16, 93], [27, 113], [11, 65], [95, 182], [1, 47], [102, 185], [0, 88], [0, 68], [169, 227], [22, 74], [1, 59], [7, 94], [73, 135], [8, 63]]; loss = 0.015403 low_pass_filter = 0.300
+Epoch 0: | | 37359/? [6:31:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 37360; scene = ['9adb745c741c85e0', '28fbb291c0ee869b', 'fc8cd6e051b881ac', '25110c361452874b', '2fba87e1bac516f6', 'bb55a9f9bd5deb2d', 'd3d0baa88d770dbe', '74cc89295d0bf810', '42c75702626c229e', 'e9f08ddf6e1fe10f', '9c3c4c6033f2b670', 'c51412b723dd09cd', 'a0ef878343bee9da', '2b92f74b0db4d073', '6febdd0a9be3755b', '1ae26b149e5f1ad1']; context = [[1, 47], [1, 77], [42, 109], [4, 50], [0, 74], [18, 72], [76, 150], [57, 132], [4, 56], [8, 54], [9, 64], [6, 58], [49, 115], [29, 81], [16, 72], [21, 91]]; loss = 0.012938 low_pass_filter = 0.300
+Epoch 0: | | 37369/? [6:31:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 37370; scene = ['dea7d3794406a934', 'e29163792848f2a7', 'a056e3fa243afc5d', '1cea9c18977c2f8d', '653dd904f9d06499', '400f918d4cdfed4f', 'a0b1e9da3ec78a5b', '4d11e532d98f82b0', '4c77daa258b1ab4b', 'e2d37a1603dd93ae', 'bb85e052b391045d', '9546f3029def9394', 'ee7877c90977cfdf', '173c3c8521ffe556', '91bd4d5858c4f7da', '0471a51233a96adf']; context = [[7, 65], [5, 73], [21, 80], [0, 58], [27, 101], [3, 54], [55, 109], [10, 62], [27, 75], [20, 74], [52, 102], [22, 67], [18, 87], [10, 89], [136, 189], [15, 83]]; loss = 0.014753 low_pass_filter = 0.300
+Epoch 0: | | 37379/? [6:31:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 37380; scene = ['658211c325be8044', '438335834436a7ec', 'c24a7025a5737a3c', 'e8b1649721a72c05', 'bce7fdd54adccc93', 'e296c62a58919a9d', 'd1ec8bd43d53a642', '7b81bc0960e1ac22', '32664782d26fd2e1', 'dad3dca3074b8196', '8f3ab736dcec6b8e', '3c136b7d09306029', 'ead979aa76eaa492', 'da54e4571a2f4637', 'e9a1cdca9abf71b2', '4787f5b4b5402ca8']; context = [[2, 88], [120, 172], [7, 81], [1, 76], [73, 145], [108, 162], [82, 148], [3, 76], [20, 103], [1, 78], [147, 198], [12, 84], [86, 139], [124, 180], [57, 122], [11, 66]]; loss = 0.015701 low_pass_filter = 0.300
+Epoch 0: | | 37389/? [6:32:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 37390; scene = ['50863a3be6590b17', 'aaa7372f9ad2a0ca', '740530267134cd5f', '95306ec7c18fe2aa', 'cfae8689c0568699', 'fdc53d78156ed9ba', '8fd5c7d863169cdc', '650e6f2ad859a7f5', 'c7d2800105ae3669', 'ebc54fed0e24fa6b', '47a80987944d4dd8', 'eb7773694ff8d1a0', '206ab8a8f71bc4fc', '1c39941bc95d3456', 'd0bb17ae4d2036bf', '15aa80e12e6979f3']; context = [[87, 160], [6, 63], [51, 138], [9, 67], [5, 87], [11, 69], [37, 125], [21, 99], [6, 52], [11, 78], [14, 76], [162, 233], [8, 66], [1, 57], [12, 74], [132, 185]]; loss = 0.012338 low_pass_filter = 0.300
+Epoch 0: | | 37399/? [6:32:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 37400; scene = ['674e6a33e09edcf3', '856bb1da2f10d78c', 'f1003c330038505a', 'ea9d27d15fb314d2', '00f0397d5f6a855e', '4d220c5bb499f859', '7f97fbd2a01c6820', '05811acb5942dc8a', 'a814d663d6af2674', '34ee4b7e062656b6', '053a8ffc1fecb90f', 'e791f0a53b27bbd5', 'eba3604d6d93cf24', '3f32a9e82d3e1bf0', 'e1070e8e8fe9d84c', 'ab4e1a007da994fb']; context = [[78, 148], [7, 62], [80, 163], [22, 67], [61, 122], [37, 90], [9, 62], [119, 178], [87, 162], [4, 74], [12, 93], [8, 65], [33, 90], [21, 71], [71, 128], [51, 103]]; loss = 0.014761 low_pass_filter = 0.300
+Epoch 0: | | 37409/? [6:32:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 37410; scene = ['ffa59b433b2648f7', '7472d8cddb4b57f2', 'd8a5cf097fe69424', 'e8de8997a5345b90', '1a0f85fd8b2981b8', 'c05a6c1249a7fc86', 'eb9514b9924bd0c3', '12a9071fdbc06fee', '3ab77edf1ebc9d0f', 'b1026413a8dc3f73', 'ff41f8b6a0af9382', '96594799c47beb71', '283b240cbd81ebc7', '3c5fb699269c6353', '842f3619d4a71d3e', '2f4a0140e4762400']; context = [[213, 259], [30, 76], [38, 99], [8, 84], [35, 121], [27, 88], [42, 91], [85, 130], [30, 109], [103, 163], [70, 160], [7, 54], [13, 67], [50, 123], [55, 107], [18, 76]]; loss = 0.011624 low_pass_filter = 0.300
+Epoch 0: | | 37419/? [6:32:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 37420; scene = ['d9e96e2b5b31e9c9', '34528b0d18d84da0', '020f438641a03015', '784844653a9eda83', '513a12aeb585199b', '3e1432574b8303d8', 'a59dc16c6fa70e09', '05da3b30242484e5', '51f0cdf6e56db627', 'eb1d9b967ffba68e', 'e461d2ed6a501cd5', 'bc8a53f2beecb690', '39284b7f31b897c1', 'd71073498a4b7508', 'fb556c16e9fd3894', 'b91de0372ce2d269']; context = [[3, 56], [21, 78], [41, 107], [52, 116], [54, 101], [34, 81], [35, 111], [9, 55], [54, 133], [13, 75], [26, 80], [11, 79], [39, 108], [2, 54], [11, 79], [4, 79]]; loss = 0.012187 low_pass_filter = 0.300
+Epoch 0: | | 37429/? [6:32:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 37430; scene = ['d8cb90fd13152e6c', '0788c973574d562f', '0ca0911df7c66c58', 'ab84bd6ad2c3f20e', '4a2c069d7bfa3eae', 'd998d161753e9542', '3dd1ee9ce46014e0', '946f96dfadda281b', '7ac3519a24738854', '4801c55743478ab4', '222cd1a2547673a7', '61e3c3e1421e1aa9', 'ab588633c52af577', '5adf90dc342153ba', '74a6afa81cb857d7', '4a5e619c6f01c41e']; context = [[0, 45], [18, 71], [168, 239], [43, 114], [55, 124], [26, 110], [1, 62], [144, 209], [4, 84], [23, 98], [38, 111], [151, 229], [0, 66], [33, 79], [192, 246], [8, 81]]; loss = 0.013805 low_pass_filter = 0.300
+Epoch 0: | | 37439/? [6:32:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 37440; scene = ['9cc16d3d94cef564', 'fd5fe10030ea799f', 'a127a55b1800e045', 'de4f11e84313cbaa', 'bfc0d31e9c828e4c', '89b74454e7eddf45', '75407a58e5087d22', '222ef9ba2f4b2abb', '01ec2ce3367f411f', '77e8ec64a7434643', '66a853c95cdd96a4', 'aa9ebfca382e6f15', '4f640c7c51e4ae6b', '0b718aacf2ced2b6', 'abf0c599a085b9d6', '2078f6045897c62d']; context = [[172, 220], [25, 99], [46, 133], [28, 99], [131, 202], [0, 80], [12, 63], [55, 129], [32, 90], [0, 54], [55, 100], [36, 102], [2, 58], [62, 146], [61, 137], [17, 90]]; loss = 0.015896 low_pass_filter = 0.300
+Epoch 0: | | 37449/? [6:32:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 37450; scene = ['895afd0d96e88ca8', 'ee309a2ff67ee175', 'ef4e611cdec4a2e0', '19d92ad5a3175241', '947b9b324827c237', '4c706bb06dd82919', '94345f54c878e603', '42945d638bfac537', '7f6dd3575ff20309', 'b2d2790674752888', '3b979b9dac2097a2', '87fd521518dc4cb6', '547a0d26a46621dc', '8683a8b09cea1991', 'fca51d820d274436', '8cf28ca6dc386dd5']; context = [[0, 52], [16, 76], [58, 143], [15, 88], [1, 68], [3, 87], [217, 263], [87, 172], [14, 93], [5, 75], [12, 80], [7, 75], [17, 64], [52, 134], [0, 83], [24, 74]]; loss = 0.011828 low_pass_filter = 0.300
+Epoch 0: | | 37459/? [6:32:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 37460; scene = ['2d9e5a21d252ae14', '9e3a0e80ccce007a', '5ec3fb8cde184b21', 'd5ff3791e665e700', '821fc852654481cf', 'ba604b97e3b89111', '8cc4a9c07940e030', 'b7c906a0a3d5a9be', 'b2b78a32c4452275', 'c554cbf54f3649c7', '77222339f20463db', 'ae1ee4e16ded254b', 'efca5dfda44e51e4', '5ebfdb58f1c0f29c', '23b084c9e1cdd885', 'd56484c4cebc5682']; context = [[156, 204], [20, 77], [52, 107], [29, 85], [2, 74], [6, 61], [12, 65], [163, 238], [80, 136], [39, 104], [86, 145], [45, 96], [9, 65], [6, 75], [29, 95], [16, 74]]; loss = 0.013270 low_pass_filter = 0.300
+Epoch 0: | | 37469/? [6:32:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 37470; scene = ['d1772c09b4b6d95f', '629f07baec1cbad5', '99e9f09b456ef23e', 'c49bd62c183dd925', '87c9128b943f1b3f', 'd7ca14c855d58875', 'd066040e500bd58b', 'cef4168f6ec0b88f', 'bff44d297bad464f', '51f38ab4c2b552b7', '5cd7dd9635fbe7a3', '426b421bb992651c', '336f7018bed111ab', '7703f6f3dd2f91ef', '71783d872a2ffba3', '099e97edda52c612']; context = [[1, 58], [43, 119], [2, 69], [1, 59], [22, 73], [124, 180], [0, 47], [44, 129], [11, 100], [27, 77], [0, 86], [2, 58], [7, 63], [6, 90], [2, 74], [39, 89]]; loss = 0.013293 low_pass_filter = 0.300
+Epoch 0: | | 37479/? [6:32:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 37480; scene = ['66ca2e899ae0b7fa', 'e1a001cc971f9549', '55ac66369fc98064', 'd78cce7a4c0b9400', '4970e1f83ae82834', '040bfec885ae8841', 'a33114a79197c262', '03f786b8eb33e189', 'ab23d838a90992f1', '4686d80203cd7b26', 'd5df805b0d2fd87e', '8700feb8f22f9e14', '9b083e044fadb8bf', '425d2142b08997bc', 'bf935be6b886ef6f', 'ad69885e675d996d']; context = [[64, 115], [134, 191], [55, 130], [52, 134], [35, 96], [138, 211], [13, 58], [37, 91], [20, 84], [3, 54], [11, 92], [22, 73], [0, 45], [65, 139], [59, 108], [200, 269]]; loss = 0.011262 low_pass_filter = 0.300
+Epoch 0: | | 37489/? [6:33:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 37490; scene = ['a2b025627d179842', '3e82f9fbbfe76afc', '45617cfadeea621e', '3db04094ed108067', 'e77d1067701c05f7', 'ac2f6532424563f9', 'a0ab47f15ad0a175', '854117547c5691d6', '87d078a6132293af', '334347999e76c28e', '2d8d59ff223d1b70', 'a9ed25f9d08ff868', '4ae0c60db6050947', '75a17f30ebffbc88', '4b7068f19d61a837', 'ed8897f38ed6abaf']; context = [[50, 124], [12, 65], [0, 56], [15, 79], [25, 75], [11, 91], [7, 67], [51, 97], [102, 156], [58, 109], [5, 93], [2, 69], [5, 84], [10, 64], [5, 51], [87, 154]]; loss = 0.014645 low_pass_filter = 0.300
+Epoch 0: | | 37499/? [6:33:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 37500; scene = ['e1593b5aae9fcd36', '500e818ab2b2d06a', 'b7301a94ad7e7595', 'ec663b7db666c611', '97c17a65b67361bf', '10f506c57d7d40fd', 'a87de6d33a1248c8', '7c2e6d49485e3f27', '72975c529694ef9b', 'e5537547dd598187', 'e55496b6c4f860e5', '1fefe15b477db1e5', '1c4853b9562447dd', 'df4506e800e19bd1', '0cb47bf3e9ed3aa5', 'c0e387d3a6285a32']; context = [[23, 75], [5, 69], [17, 63], [149, 239], [0, 76], [32, 90], [22, 78], [0, 45], [37, 100], [4, 62], [3, 59], [165, 253], [102, 156], [5, 56], [10, 57], [48, 96]]; loss = 0.012684 low_pass_filter = 0.300
+Epoch 0: | | 37509/? [6:33:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 37510; scene = ['0dcc9979156d2fa6', '484a9bbc30003fcc', 'a890bab1154211c8', '480231b83d000bf7', 'abfac8e8c688c9f1', '1e655b97eff9ed44', '8ee376f0a298ec87', '245ec87f817cf1e4', '9e71920e58bf6a02', '2b474d3143080014', 'c1097d7e3b3eb68e', '23fc08656463d908', 'acefbb31025956af', '28b6ee285fe5fdae', '8d2d04ce88052af6', '71ab9816948406c2']; context = [[3, 52], [37, 110], [51, 106], [16, 69], [84, 152], [1, 49], [69, 133], [36, 104], [0, 46], [21, 66], [7, 74], [9, 83], [11, 101], [0, 51], [7, 74], [77, 135]]; loss = 0.013178 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 37519/? [6:33:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 37520; scene = ['bf9f368eb8ec8cd6', 'e9b908cc0c604c48', 'cfcb5dc84a930779', 'fa1e78f4c605baf6', '7d1a5c5ed1505601', '8d96d7e89d8e0026', 'a6f6a363e768c68b', 'ae8604a4d90f2274', '05e57498aeca6d81', 'd8e17786bc9be37c', 'd8d76c5a94df95f6', 'a6d7ad61aadbc7f1', 'dc015aae44af1ee3', '449002ada2ccb247', 'e5545e30f772706a', '83d36bc79b6ddd5f']; context = [[7, 93], [28, 105], [41, 102], [34, 99], [30, 85], [0, 88], [123, 202], [0, 70], [107, 186], [8, 55], [2, 70], [15, 92], [6, 61], [0, 52], [109, 197], [40, 109]]; loss = 0.012698 low_pass_filter = 0.300
+Epoch 0: | | 37529/? [6:33:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 37530; scene = ['aa85f1d551661c8c', 'ac5ffad34ede2b27', 'c3ed8d0890eca234', 'c46cc0b22cf0e2df', 'bcbd3ed453c1d5c5', '14cfc11be2d81617', '41442f2f1c7a60e7', 'dc1576c8f654e136', 'cef7f461f9eab602', '5e1402ea33a0a48b', '31260dcd8308ca5c', '886f07611c5e252e', 'fb58bb589967ac48', '964c9aca14b67e98', 'cd2bd9f19bed30cb', '4e455dacfd50c828']; context = [[25, 79], [129, 174], [22, 93], [11, 73], [44, 96], [2, 47], [2, 48], [0, 47], [34, 82], [1, 75], [5, 55], [97, 149], [79, 168], [16, 102], [163, 209], [78, 125]]; loss = 0.015086 low_pass_filter = 0.300
+Epoch 0: | | 37539/? [6:33:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 37540; scene = ['3c98d600041d2bcc', '247393e72009dab0', 'f26fde5159d79f6f', '50a188daaccbfe3a', 'ac6f577f464b2a48', 'af105cd09514cce6', '0188906432667267', '58cdd230b4f5b590', 'a3fa2b116cb965a9', '1c59278c74ba3308', '513826433660cb1c', '7d2402b99eed8e47', 'e5f41c9021b0b7c1', 'b94fc288d2b736ef', '010faa0d0d087960', '9a75df401b7b49fb']; context = [[5, 74], [12, 58], [15, 80], [29, 109], [70, 128], [1, 61], [56, 108], [31, 103], [73, 142], [3, 70], [18, 96], [55, 112], [115, 180], [4, 55], [17, 91], [168, 222]]; loss = 0.014788 low_pass_filter = 0.300
+Epoch 0: | | 37549/? [6:33:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 37550; scene = ['0194c0dc2966c9a5', '2f99fc99ce8c8f30', '045b9b2377bb7483', '7546ea88c82a9d5d', '7f5b5208b2e9249e', 'be7e0975c199c2ce', 'c83bc90ea47ca7ae', '502939016daa05ba', 'c0b0e550907e7164', 'ab1ba9f15e793ef9', '1c900d869c429d14', '5308fcbbd3d32d10', '26e9dbdf769df020', '67b791a20f8f50e6', 'b43b9870fd778691', 'd9aacea21e110a52']; context = [[124, 212], [7, 95], [48, 117], [17, 71], [16, 63], [75, 152], [172, 235], [89, 178], [136, 198], [16, 82], [3, 69], [9, 61], [41, 108], [3, 65], [19, 68], [4, 53]]; loss = 0.013934 low_pass_filter = 0.300
+Epoch 0: | | 37559/? [6:34:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 37560; scene = ['b90013a826fb2d80', 'f89dd1b50b7d853e', '178db7cc64cc5726', '113bfc07b50ce2d4', '23c47616110f2d44', 'ef8677a5404a270b', 'a0a6cc4af28f401b', 'b4bde0068fe7af28', '5df5b7738e92dce6', '2727fa34d2241ecc', 'a26a41da71dd633a', '6faa8a388e0dd2a9', '21a783ae4c599ed2', 'bbc62daeaf77bf4f', '4a92e8a638e8c57c', '309a175f1e06b80a']; context = [[23, 102], [29, 90], [69, 115], [50, 105], [7, 53], [36, 111], [44, 94], [10, 77], [39, 110], [12, 63], [14, 95], [27, 116], [3, 64], [0, 46], [32, 112], [191, 266]]; loss = 0.019105 low_pass_filter = 0.300
+Epoch 0: | | 37569/? [6:34:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 37570; scene = ['71e276d963c867d3', 'bfd9942692811e1c', 'a86ad11e2813e855', 'f86530a05d35d655', '38d4b64a2c62a10c', '818df63ddd1cf294', 'ac7e4e45af091245', '0ab75011e9c92a01', 'b81a88ba12cb339c', '5a653e5ebdcdbbf0', '1c5700ef1f66c707', 'c2ad8a9ba52a66e4', '9da23c6a66bf2a7f', 'c8f03a644eb68237', '46ec28923c735944', 'cd6ef3e285eb2d6b']; context = [[8, 61], [1, 84], [53, 143], [10, 69], [14, 60], [8, 60], [62, 110], [74, 139], [44, 106], [171, 229], [0, 46], [38, 97], [1, 57], [44, 103], [4, 54], [50, 125]]; loss = 0.013338 low_pass_filter = 0.300
+Epoch 0: | | 37579/? [6:34:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 37580; scene = ['2a952f4e0ff884fd', 'd155f6f763021c37', '1e85f953f89df2a8', 'd0b0a16bde7ef31c', 'fd6368a0f2fa72af', 'cf807787ef5b8f62', 'a72dee41c07001a0', '05ec5a0eb36da3b1', '8b043c1d687545e1', '574c4d856cb3abf5', '3f9fee97454edb63', '3f4b96bfba0d36c9', 'e06bf63d65b9cc29', 'f36afd2815e5c749', '0eae94f75a1d9b6d', '9a54bb57c0359e88']; context = [[53, 125], [10, 75], [64, 129], [34, 101], [12, 94], [14, 61], [2, 54], [6, 77], [13, 68], [8, 59], [0, 63], [8, 65], [39, 94], [7, 79], [6, 66], [1, 72]]; loss = 0.015175 low_pass_filter = 0.300
+Epoch 0: | | 37589/? [6:34:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 37590; scene = ['1a84349fb2a36ad9', 'e28781365469c1bc', '962084e11146bb55', '595babb1c9037e3f', '9985153755b905cd', '76b78ceb6cc89c99', '20e9ed1c2504af2d', '60fa6d93cc1bdfd8', 'c0fb6421c9b93219', 'd8a689c565481aa2', '3b55c73aa4dec301', 'badfbbffd848f701', 'a196122b80af3de8', 'eba25d15f8c70f0f', 'a2c15112ec07b02b', '83e4178afe56944a']; context = [[4, 85], [108, 183], [34, 82], [35, 98], [39, 92], [1, 74], [124, 198], [0, 46], [16, 93], [3, 68], [54, 140], [2, 55], [31, 78], [61, 112], [49, 133], [4, 57]]; loss = 0.013738 low_pass_filter = 0.300
+Epoch 0: | | 37599/? [6:34:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 37600; scene = ['ab2201cb94ff14d1', 'a42bdc737a8b726c', 'f43cf4d04545b7c4', 'efd11436686a1d4d', 'fdc2207613d5c1d1', 'ada4a554d4c85688', '4fb7f3cd39ad726a', 'fee7f9e43a85aaca', 'af018f37a5cfffcd', 'b9150a0deb480f1e', '6d93e8f7923b4d70', '132c4737c30b0bf7', '752a2c0964a92680', '7f1444750fc50ba8', '9a4c0bb938bd7c83', 'f5b19c838f9f8b2e']; context = [[21, 105], [24, 101], [0, 80], [3, 61], [183, 229], [110, 192], [62, 147], [3, 63], [107, 154], [2, 56], [8, 70], [52, 140], [65, 129], [75, 155], [17, 107], [127, 202]]; loss = 0.017080 low_pass_filter = 0.300
+Epoch 0: | | 37609/? [6:34:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 37610; scene = ['82ba678c941b6578', 'ddc11c891f471dd0', '7d697ca690248324', '12e85fb6e140ee85', '07790cb4884e1502', '43e59b21a3805c73', 'cdde30f3352829cb', 'd5a86126a4e39e7a', 'e20f3440223cbde1', '59718b64a18ffde0', 'c91388cea8493586', 'baf2755c8de01c68', '0110f2806f35fd7c', 'bd2a9f4203d4923e', 'ad499d94cd219a58', '448bddfa334ae964']; context = [[75, 124], [202, 272], [29, 106], [51, 115], [20, 68], [109, 173], [9, 68], [145, 196], [69, 158], [0, 45], [4, 79], [2, 75], [5, 82], [1, 85], [160, 208], [25, 89]]; loss = 0.012976 low_pass_filter = 0.300
+Epoch 0: | | 37619/? [6:34:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 37620; scene = ['b0644e721a1e73d4', 'ad95074b40f49e6b', 'b8d6dfd707b7165a', 'f42b9fd27850d7e1', '6e05907e3f19fd3c', '478a681c422cede2', '4e06000409ad97bf', '71c8a123e9cdd368', '0928998054c51877', '3a00bf0557f697bd', 'd2bb35c8d33ed564', '71eaf6a42c20b54e', 'ce11fac2d43ed83b', '6130665036744af4', '69e01d9175c24145', '0cde44f566b2a805']; context = [[7, 57], [2, 71], [19, 92], [8, 89], [2, 80], [11, 81], [5, 55], [141, 199], [10, 63], [43, 122], [8, 83], [104, 156], [17, 101], [22, 84], [38, 123], [2, 77]]; loss = 0.015088 low_pass_filter = 0.300
+Epoch 0: | | 37629/? [6:34:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 37630; scene = ['1d34b5ace7d314d4', '4d93b0a1d23b35e1', '6dc467961a80bdfd', '4935d29980eaf103', '9c2479fffec7df76', '8e9cd984cd976e60', '5af3fa101b3b35b1', '303d67a3e601258d', 'f6a14acb31badb11', '9b8c18ba73e39684', 'e3a3523db7dd2842', '8b3850a90cb424bd', '744f36678102a07e', '8a64b2c329a8f6ee', 'a9999b99dd4691cb', '134ff951c2283cc8']; context = [[4, 73], [17, 94], [172, 252], [133, 215], [77, 164], [12, 60], [146, 229], [13, 61], [20, 101], [6, 64], [2, 62], [109, 184], [0, 60], [139, 196], [37, 118], [0, 72]]; loss = 0.013057 low_pass_filter = 0.300
+Epoch 0: | | 37639/? [6:34:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 37640; scene = ['8efaab78c3e2388e', '212f736c5bd2cba5', '559d7202fa8cbd68', 'c56f7b2db97a1fbb', '7a1a5b280aeed1d1', 'e40db329b18cfe34', '3ca192a6f7bd3055', '9df861ccb6b76283', 'b87f3bd2e5b947d9', '641d16ca40351a9a', 'b08fff272e1c806e', '442516502d2ea879', '3307278c57b32d21', '28067dda0ffd7a29', '03aeb7cc51b34332', '47a5504a363ffd80']; context = [[164, 244], [138, 224], [13, 63], [41, 91], [128, 176], [121, 182], [19, 75], [77, 129], [134, 187], [1, 70], [8, 85], [120, 167], [105, 161], [101, 190], [98, 162], [2, 74]]; loss = 0.013485 low_pass_filter = 0.300
+Epoch 0: | | 37649/? [6:34:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 37650; scene = ['2cfd10fc7cffeeb9', 'da127f12a53933f0', '8c8f544747e05e5d', '8c49fed3b7cbf311', 'ef445bf994788b81', 'e960b51a97283205', '0319c6e14cfff622', '3c0124edc69eb6a3', 'c1ce7dcbfadaba40', 'cb1d454027ba70c4', '24450034eff8a6bc', '8b2348d751ee051b', '2c6eccaf73d3abd6', '62061c7c44274dea', '1645604849493d09', '14a4cef572e9d315']; context = [[19, 69], [0, 77], [3, 81], [6, 56], [2, 61], [0, 60], [161, 207], [36, 94], [38, 93], [17, 100], [9, 81], [28, 110], [17, 106], [26, 71], [10, 61], [2, 77]]; loss = 0.014896 low_pass_filter = 0.300
+Epoch 0: | | 37659/? [6:35:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 37660; scene = ['2be0a2db028836f9', '5f2f43c51cd498f1', 'ff7738e2e61b4665', 'ddb51cdef2541928', '7bc7fdbcf2d99f74', 'ee78647843511a4c', '0002b126b0a8a685', 'd206673ebf65db82', '6a431d61b0a82cd6', '068ad646d3fa5ade', '46cfbabfa0d5bf6c', '337bac6be4ca89e1', '17c078de5ed38bd2', 'f0bbb2b43b7e8e6c', '1aaa17e3675b5bc1', 'b2150f4b4653c8cf']; context = [[2, 66], [11, 71], [97, 159], [56, 101], [60, 150], [18, 70], [28, 100], [26, 80], [216, 274], [28, 99], [68, 119], [11, 88], [163, 247], [16, 61], [41, 109], [125, 204]]; loss = 0.012734 low_pass_filter = 0.300
+Epoch 0: | | 37669/? [6:35:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 37670; scene = ['9af2ad7f7fe8589d', 'c73272627b13a495', 'c5c0ca1ed57d6f0d', '1ffe50aa97052b99', '012d6a11ce2461e5', 'a924aad5ec2cfb5e', 'b9c5c7b6db633f2d', '94268cc0d44cd2f8', 'dc50a5e1a0944fac', '37620819c4ca733f', '10be733844e0542c', '8f3ba3ed5ff1e229', '19b10eae955dd969', '225ba5fd4f771aba', '7fa424c05175eff7', '9467e5885839c3ef']; context = [[34, 81], [23, 80], [28, 83], [2, 67], [71, 143], [37, 112], [44, 93], [22, 104], [46, 119], [33, 93], [82, 144], [147, 208], [3, 82], [54, 108], [14, 73], [6, 61]]; loss = 0.014396 low_pass_filter = 0.300
+Epoch 0: | | 37679/? [6:35:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 37680; scene = ['6cced5003224cecc', '53d9d2f566db92bc', 'a994e2ad8bb51468', '8a75cfb4b5c3e4fb', 'e83c04d688534f23', 'ee481b1c6840cab2', '29ed0bda807c792d', '75b0b9b13b2662e3', '008f94cc8929340d', 'dbc167d7cf153052', '7549d247178ac57c', '09450e253b21e860', 'cabe921a44ba75ce', 'b373412bc8be869b', 'c56172691de106e2', 'fdf68971cb931cb6']; context = [[3, 84], [18, 102], [2, 77], [36, 91], [90, 170], [101, 181], [46, 100], [5, 61], [44, 123], [73, 153], [16, 105], [0, 49], [3, 60], [7, 68], [112, 195], [4, 77]]; loss = 0.012537 low_pass_filter = 0.300
+Epoch 0: | | 37689/? [6:35:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 37690; scene = ['7fe21cc660012e7b', '2dda31ef21375bcc', 'b2b502239affc312', 'd9e3fb32eda885be', 'fa77a863c2da0ea1', '9c9c480a9144cd77', 'c1c90a497313a731', '30d1ac6ee0b765c6', '8b8ec84173bff4fe', 'c6f4c3aa65a88c5f', 'bf281c3beca8dcda', '05a005f68ecccc2a', '184fb534f9aca4da', '09857c20a9b14df3', '10c6540f2e3af25b', 'df7deb08bd35cc9e']; context = [[24, 100], [6, 92], [44, 133], [8, 54], [23, 81], [24, 100], [9, 57], [31, 90], [14, 80], [25, 101], [15, 98], [3, 59], [10, 56], [38, 114], [82, 165], [12, 62]]; loss = 0.011649 low_pass_filter = 0.300
+Epoch 0: | | 37699/? [6:35:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 37700; scene = ['757f85ef4b708166', 'e46419c7826b661c', '4c8ecba879bb3eed', '5f0f26d2f069837f', '26e1218850abd298', 'c6ea933d1fff0d59', '10fe0d451220407a', '2443e886f743cc34', '7d6557b3ee6eaa8c', '2e4d16122bd76f43', 'ca89e36b41581eb8', '64752a2bbc8cb8a0', 'f5d779a094aae091', 'e827971d9159f974', '596b0aec6dc38dd6', '90d620634dd9aeea']; context = [[7, 82], [9, 96], [6, 51], [19, 73], [107, 171], [1, 71], [35, 80], [1, 69], [2, 58], [16, 82], [44, 91], [3, 72], [26, 90], [0, 59], [0, 57], [0, 47]]; loss = 0.012845 low_pass_filter = 0.300
+Epoch 0: | | 37709/? [6:35:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 37710; scene = ['8e1c0bc2d1f32fb0', '9c0bb7fc34abd94e', '0ad3576e62a8b32b', '950f1ff0a8e7c0c0', '1de8e1eb82d14d6d', '6e4cf169bcc208d0', '79b7035b6671047d', '4331ddbed504bc6d', 'ba06fa6ec64f79e5', '17c93dd3f507eb4b', 'b7192f22eaad3ddf', 'c5b9d0e39a756324', 'd9f718ad1e6fc7b1', '3225396f04fefe7d', '0157cf2bdaa05486', 'ce7a77654ed24cb3']; context = [[10, 60], [8, 57], [87, 148], [69, 153], [10, 64], [7, 72], [149, 239], [1, 69], [5, 58], [87, 152], [8, 59], [0, 67], [186, 246], [17, 93], [1, 68], [22, 99]]; loss = 0.017262 low_pass_filter = 0.300
+Epoch 0: | | 37719/? [6:35:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 37720; scene = ['70a7c73ee0ff15cf', 'a18d3ccd10fbff62', 'a392b45c2f7dbe40', 'ed2d12be16750310', '644edb7b339e7204', '6dce42c0376ed5bd', '87c8a0082ed8ff94', '1ecdbf071c9efedf', '8ccd419c07a54f45', 'f0542cd2d21f3359', '246e844f2b0c296f', 'a11168f2dbc672f5', '2ea9a7e763491324', '0aa65a45e54c8ff1', 'a03aac3f83c63352', '780656b1732d5e8c']; context = [[74, 156], [62, 123], [10, 69], [0, 81], [20, 72], [17, 66], [83, 146], [86, 164], [0, 55], [34, 95], [0, 77], [32, 93], [36, 89], [12, 95], [3, 50], [43, 131]]; loss = 0.015461 low_pass_filter = 0.300
+Epoch 0: | | 37729/? [6:35:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 37730; scene = ['53e3cefb76e02bed', '68a3b46fca433cb2', 'a50ad10fbaf3944e', '970767e29cf84f39', 'b382d162cc864f82', '9ab202bff0564dc6', '539b45d381a384c1', '89a259054c86c2b8', '31b2b4402ca020d6', 'a8c6d043e6dfd3a0', 'bdeef24748055bce', 'a51722bd986895ba', '26b7cc5562e364f1', '0cdd03bfc96760e3', 'b453004f4b83ddfc', 'e4832b64e5b73784']; context = [[37, 105], [14, 72], [6, 82], [101, 177], [165, 248], [50, 135], [1, 46], [48, 115], [28, 101], [0, 63], [10, 68], [6, 94], [0, 45], [25, 86], [45, 116], [12, 101]]; loss = 0.017445 low_pass_filter = 0.300
+Epoch 0: | | 37739/? [6:35:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 37740; scene = ['51d0544fae56e467', 'fc68db62b98934af', '8c67d77a1f9a6b14', 'cc64908cbb514ebd', '5f0a8cfefdaaedcc', '1374f1c247f796e1', '1d152df28d3ab39e', '191c72150925a58d', 'fb80184b2024a29e', '3c15a7886323d0e4', '0e9a747769b52c1d', 'd85fc004f78d82fa', '6df10a21f6199b47', '9e544dabc36a0ab8', '4798943ef0cd4af2', '20a7799abd66e4b6']; context = [[9, 75], [93, 158], [1, 90], [24, 103], [52, 133], [124, 190], [42, 89], [70, 153], [24, 72], [1, 52], [67, 124], [0, 46], [172, 235], [25, 103], [74, 124], [4, 72]]; loss = 0.013263 low_pass_filter = 0.300
+Epoch 0: | | 37749/? [6:35:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 37750; scene = ['9dbd9623f02b4815', '5afd54ff10bf02f5', '07e88eb06321ac86', '87c924499e6e0e27', '792a9b92fbcee6fa', 'd93bfed273f01550', '45fe4791e4cd5931', 'f384611b03428126', '05391aefeb1334be', 'c176654607fd9cce', 'ee15098deacc41b5', '88136afd8d90d1ec', '2f109c7377896128', '2b8fc71bdd8e6450', 'e1e90c90928abf21', '8ff26a0c4a8e149d']; context = [[20, 95], [0, 72], [12, 59], [1, 49], [168, 249], [1, 53], [13, 95], [138, 184], [10, 84], [13, 97], [69, 141], [2, 61], [14, 62], [56, 109], [13, 101], [107, 163]]; loss = 0.013650 low_pass_filter = 0.300
+Epoch 0: | | 37759/? [6:36:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 37760; scene = ['530950bcba399bd6', 'aac8d0a25bc8e61a', '3b41f88987077308', '9327aeefffa14a4b', '8aef911b31bd5273', 'a76c40c96098b63d', 'a910f8752165735f', '79dd8a2a05b4d5a6', 'fa6e6f9c34048dba', '43a0be8fe210881a', '4c7d379804ee1210', 'c12eb1914cdc0045', '0cc616dac37caabc', '1e6939b3c332ae2d', '2b4f68d46cb26a44', '67a6d6dd4fe76aad']; context = [[5, 86], [37, 109], [8, 88], [84, 174], [25, 74], [4, 50], [18, 63], [24, 109], [42, 87], [6, 71], [85, 140], [22, 91], [23, 96], [2, 48], [116, 162], [1, 85]]; loss = 0.013376 low_pass_filter = 0.300
+Epoch 0: | | 37769/? [6:36:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 37770; scene = ['3ffaf1e704427fc8', '0519e61060724f77', '0c94fa11e0e29a57', 'f9cc7615589b58bb', 'd50b81adaf488575', 'cfe3727abb3eb83a', 'edcd1cff356523d7', 'bdee71538603b0e3', 'fa37e761f75ecafb', '97052983913580e1', '152ec9bbbb4d13d2', '99da52a87a6a0867', '4ae8d76f03c4bba2', '799db24bc6996ff6', '406e9c6c0f7a3a54', '11d971d7a14928cd']; context = [[0, 85], [22, 90], [7, 61], [10, 62], [21, 83], [6, 70], [0, 47], [10, 78], [1, 82], [6, 51], [2, 71], [1, 48], [55, 145], [2, 75], [7, 63], [15, 97]]; loss = 0.015796 low_pass_filter = 0.300
+Epoch 0: | | 37779/? [6:36:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 37780; scene = ['211b3170fa4a2ead', '8b95bc9e3b662617', '53c54932758974ee', '80e41e132e60ee48', '5888770aaa4a968b', '5751251801d5eb33', '65cd58dfb9df8a99', 'f91d7a1faae3058c', '80fdcecdeb194bd8', 'fd736740ea4abcc7', '05f3364c68280447', '398387e65925128a', 'e2101e24b745e35a', '87ddb273a2668496', 'dc3fe6f0dd9c89fc', '5f19088fcdebb2c5']; context = [[39, 101], [92, 145], [1, 68], [2, 82], [1, 59], [58, 110], [93, 140], [31, 91], [24, 69], [1, 48], [69, 135], [5, 77], [49, 110], [113, 196], [22, 108], [17, 89]]; loss = 0.012578 low_pass_filter = 0.300
+Epoch 0: | | 37789/? [6:36:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 37790; scene = ['b5b7cf0397d7198f', '2cb5509fb3497624', '839cd3f1b83a55c8', '1451955eb30abd6b', 'a92466ec8346b8e2', '533d3cbe564e7cc7', '597e33a1a42f5c28', '50c989c75b0f7157', '2681fbebf1e46140', '182ddf7fbc64272f', '6ea7fd0421e373ba', '670b9bea39ffbfe5', '8c2098bdc333b3f4', '8ea66e985b15761a', '2ff53fd35bc18dca', 'a8bd1ffe4d25ed82']; context = [[4, 72], [0, 54], [26, 102], [16, 73], [31, 115], [32, 104], [0, 76], [18, 68], [63, 129], [33, 84], [20, 83], [73, 160], [18, 67], [7, 79], [120, 173], [0, 55]]; loss = 0.014213 low_pass_filter = 0.300
+Epoch 0: | | 37799/? [6:36:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 37800; scene = ['37a5015930c5547e', '5452d16cca0dcb9b', '72d4a43408c7049b', 'fe0b53927c865bbd', 'ce1a9465dc08ef4c', 'f000b259a36dc7c7', 'ebe6cee0ef6cc3fc', 'ed2fc49a0e63bafc', 'c57dbb71d1fe0bd2', 'eca7079d5dba5be4', '601c8a97aecb8382', '4ba7050b9c5d6ec1', 'ac8f891d79b1d83a', '3fdc3a4cae9be243', '80bccdc5e58ea4d3', '87e217f0fb889cd3']; context = [[6, 89], [0, 87], [0, 71], [7, 81], [14, 95], [35, 97], [1, 47], [17, 95], [24, 88], [1, 47], [62, 133], [20, 79], [20, 75], [33, 103], [166, 218], [8, 59]]; loss = 0.015599 low_pass_filter = 0.300
+Epoch 0: | | 37809/? [6:36:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 37810; scene = ['12896094012ead34', 'dfb7bad8245ffc20', '05bbc9909ddbc3b7', 'a448d0b2c57603ca', '3244c1a0f0a62eb9', '519f68765cb5c6cd', '6480aa85c5591f86', '8130930ce3ad5095', 'f199ea57262f903a', 'a2d98d79eb90487c', 'f86fc98cc4793b7a', 'e2edab5b52966c17', '4a22f1f57ab31b3d', '87bb3dd7771d81bf', '794460d142973b66', '089cc04e370ae27a']; context = [[145, 219], [69, 123], [14, 75], [4, 78], [62, 141], [7, 84], [59, 148], [2, 61], [0, 61], [128, 192], [7, 84], [30, 81], [191, 258], [145, 231], [4, 58], [56, 140]]; loss = 0.014935 low_pass_filter = 0.300
+Epoch 0: | | 37819/? [6:36:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=27.20, train/active_min_children_step=1.0train step 37820; scene = ['310afc09b784c10c', '4cd3e0c8f6a3b954', '1b96b29b59396413', '41258160de3b9847', 'ba232d0f3f503f0f', '7570e1000b6f66a7', '6c86fd352266b6f4', 'a83f3746a11e572d', 'd19952203c1188e1', '2d9ad09dfbbccc5f', 'c7b3620b618be980', '78428c3f26aadf79', '3a8f14b855f7f4ee', '12dd594ddd87c24d', '0f4dac87d0ddaa3c', '67738326f8fac909']; context = [[15, 98], [28, 98], [26, 96], [43, 132], [6, 70], [2, 64], [116, 168], [17, 86], [30, 84], [117, 204], [4, 86], [52, 134], [18, 63], [2, 66], [43, 89], [49, 95]]; loss = 0.012838 low_pass_filter = 0.300
+Epoch 0: | | 37829/? [6:36:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 37830; scene = ['b789c7458ec68143', '65cdd012231a757c', '7400bbcba57af668', '0ea852338a77c84d', '8ac83ba3156df8d9', '321daaf7850e7d74', '53db70b63ac3990c', '6d70eee02ef9d6ff', 'cc8ca5db181e8bce', 'd8ddebbd5a79364b', '9a1d44db3a25db6e', 'fbe8be1f434b7471', '3dbcad1eebd8c8a7', '29c107478a356315', '220dce699828800e', '86ad7073445c5301']; context = [[5, 67], [120, 203], [156, 221], [4, 84], [76, 121], [73, 153], [32, 108], [27, 77], [38, 106], [2, 77], [64, 136], [172, 238], [73, 119], [56, 102], [84, 143], [25, 104]]; loss = 0.019850 low_pass_filter = 0.300
+Epoch 0: | | 37839/? [6:36:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 37840; scene = ['2c04b0f76743f0d7', '92ab77a4c94e9884', '8f1aa461b4aa2287', '59f044f15cfc9069', '3a6ad27ec85f4a92', '26d86239357fd6d1', '0b9ed52adb641450', '5029871af393f473', '25ac9afd10569fe4', '2c6bcba12c9034f6', '130d57f1824c8064', '5d049f982d5d8d7d', 'cf5a161998d0582a', '5cc2797ec4618a95', 'c585bc10ea3693e9', 'fbfa711056048092']; context = [[7, 66], [76, 126], [213, 265], [213, 268], [43, 93], [35, 86], [7, 80], [5, 52], [62, 130], [25, 113], [43, 110], [3, 86], [0, 79], [38, 95], [78, 168], [9, 81]]; loss = 0.014058 low_pass_filter = 0.300
+Epoch 0: | | 37849/? [6:37:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 37850; scene = ['535fdf16906072c7', '78086fc839b55dff', '8404eae21432063c', '0154dcafdf387a0a', 'c660e0ba4f885ed8', '952c38e1433be492', '38147dfcaf667f6b', '8e1ad51b592ca929', '85df3336ad90d5f3', '2df2d7c7a4f05e97', 'e60298a9c1439103', '57a37f6c17fb53bb', '29d4c936815664ab', '8e05fa84cec1907b', 'bdedaac596d2cace', 'e3a95e30c80c81ba']; context = [[1, 46], [23, 109], [1, 56], [77, 163], [88, 176], [62, 115], [42, 105], [21, 80], [59, 109], [7, 53], [2, 49], [63, 113], [55, 123], [203, 274], [17, 86], [18, 102]]; loss = 0.013022 low_pass_filter = 0.300
+Epoch 0: | | 37859/? [6:37:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 37860; scene = ['ce40041f37ead09b', '2ae404c6c17b0005', '2ac51dbf19b5dbbe', '94e15ba487af3b15', 'f5864b8687706513', '669931fb3be86a5a', 'f5389cf7168ab81c', '2b5ee9f95a7b2952', '4b081e386dc80130', 'feb823568eb80267', 'c23b2d4d5e14e6cb', '1fb84b400b0eeffe', '6030f480148fe616', 'ffe6287f703a9087', '7390d39ad1d8860e', 'f6a6729072b2b2d1']; context = [[10, 72], [126, 195], [96, 165], [163, 220], [62, 127], [56, 105], [74, 141], [12, 80], [77, 147], [11, 56], [5, 66], [0, 48], [14, 76], [74, 150], [1, 47], [38, 89]]; loss = 0.014025 low_pass_filter = 0.300
+Epoch 0: | | 37869/? [6:37:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 37870; scene = ['51c1d0c26b7307b9', 'd7d8e8bc060b6ce1', 'f818a2808c5d168c', 'b3aa335a5095564b', 'c577c31302675f04', '89f25b63cce19665', '3ded2824a525f9bd', '63b03ffdf040e716', '9f74175f064fe2c1', 'd281b8aa0b374a58', 'f01941690640a037', 'd28eca1192b1f893', '74d1b65ab5dd2ba4', '70e0679f69f34d29', 'd490835a644851f6', 'f7ac4679fb8c22bb']; context = [[7, 78], [14, 95], [12, 80], [4, 50], [5, 88], [17, 70], [38, 89], [0, 67], [159, 210], [0, 75], [209, 276], [170, 250], [50, 117], [55, 133], [7, 55], [20, 66]]; loss = 0.017755 low_pass_filter = 0.300
+Epoch 0: | | 37879/? [6:37:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 37880; scene = ['3b2f95a8d993542b', 'ad968558e4c4d63b', '178873c219f7c2b6', 'cc036e0460607246', '9acff909c8398b6b', '01cddbb85517cdc8', '1c59fc385ce37ab6', '93d6d21d8e5e53ea', '27616b52fb366cdc', 'd815e00df962638c', '37f28ca0c73ae057', '0e3abbd980a263fe', '5f28b2d3f4828007', '0bdca1b88deda4a2', '4b51e4231150adf4', '726308ff6efdfd6b']; context = [[41, 95], [5, 62], [105, 156], [116, 170], [1, 50], [7, 61], [8, 85], [12, 61], [142, 218], [86, 137], [56, 123], [38, 93], [10, 60], [13, 97], [7, 91], [26, 74]]; loss = 0.016120 low_pass_filter = 0.300
+Epoch 0: | | 37889/? [6:37:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 37890; scene = ['d8e5c190e8400259', 'cad8d99d5938a98a', '1a1b424f93af5432', '32936b5443076f5c', '1c0f40cd04838650', 'dc31972ed0e1d8dd', 'c28f5b0713ea8927', 'e6c1977d9abd484a', '5013ce0333bfd2cd', 'a4c42be1726162f2', '807f25b62e86034b', '7ec6f68e6166c5fb', '29f2859edd3bc59d', '146061cae31b2eed', '5f9a698522ab7afd', '75d5c9bbea9d14d4']; context = [[8, 62], [114, 165], [167, 213], [4, 68], [14, 61], [156, 226], [172, 236], [12, 62], [12, 62], [2, 89], [18, 106], [121, 175], [14, 99], [34, 102], [26, 90], [124, 202]]; loss = 0.013938 low_pass_filter = 0.300
+Epoch 0: | | 37899/? [6:37:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 37900; scene = ['5f35ea53af8b7e22', '2f53f8fe1635c1e5', '8e096002f3ab8224', '0ec17f60d1888068', '92e0092df2d6229e', 'daefd96d95e1b345', '5b0391ef9aa2938d', '8fcff3cd031b4ff4', '5fde2bc7916369e0', '05e080187c9b0d74', 'e3c04c200b8cd9ef', 'd8ab1dd71f13a47c', '15d92c198f64d235', '28c3c356d03fafd9', 'b0dbf60f56f2a965', 'd7ca3f1781fcc191']; context = [[3, 92], [3, 83], [4, 71], [15, 71], [7, 79], [11, 65], [23, 86], [127, 172], [231, 278], [66, 121], [32, 87], [1, 66], [84, 151], [51, 111], [53, 133], [1, 91]]; loss = 0.013738 low_pass_filter = 0.300
+Epoch 0: | | 37909/? [6:37:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 37910; scene = ['3f4429a8249539b8', '64a14ca4bf94dc9e', 'a98ec507d448dea2', '20a8dc93cb5c0703', '52e9a293d9566f9a', 'fd76f881e1223b09', '40873337bb9786ab', 'b3948b46c43ce90f', '2bf395f4a1046810', 'd4e63c1413deec70', 'c66acaba1dc7c1e3', '912bd8af2638b94a', '34257fbc9a1044bd', '5f0d2ecfcf3e4fbe', '4719fa8b7d595024', '0e756ca6320830eb']; context = [[169, 251], [3, 75], [139, 210], [97, 181], [0, 83], [30, 87], [2, 59], [69, 128], [131, 189], [92, 157], [92, 161], [120, 208], [12, 76], [98, 147], [36, 101], [70, 139]]; loss = 0.015386 low_pass_filter = 0.300
+Epoch 0: | | 37919/? [6:37:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 37920; scene = ['0da32cfb9483ba52', 'f892051838c9ee27', 'c0198b22b5015afd', 'c4217c1a6b2d6381', 'fcf802fad585ff72', 'ebba5577b58ed999', 'f028e6658136e9ba', '9dafc61a5619845c', '4b4d97c54ed93160', 'cfe012ee13f32184', '6fa4c2007a0bf94f', '7a92ae8d981688f4', '1acf1fda04e66de3', '7cb7cf6f9813487e', '9974ef630b3b0063', '3bfe1aac6d0135b6']; context = [[30, 84], [130, 199], [54, 144], [0, 46], [0, 55], [11, 58], [43, 93], [97, 163], [4, 60], [1, 63], [216, 261], [5, 94], [16, 66], [22, 91], [101, 179], [3, 50]]; loss = 0.014876 low_pass_filter = 0.300
+Epoch 0: | | 37929/? [6:37:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 37930; scene = ['9efb22be1a5ef87d', 'a030cd4e570342ae', 'c3a9bfc15e06741d', '4b771a59efd81edc', '6151271bcc5d7000', '108d91ce571ba456', '629f07baec1cbad5', '0066ed3711a7240d', '99e9f09b456ef23e', 'd7ca14c855d58875', '0f0bbb6510ca3018', '87c9128b943f1b3f', 'c49bd62c183dd925', 'd1772c09b4b6d95f', '3ef8d3ae25b575f3', '7e7b53917bcf337b']; context = [[28, 74], [2, 60], [47, 112], [25, 110], [68, 123], [23, 68], [135, 220], [12, 86], [18, 67], [140, 212], [1, 60], [0, 72], [8, 60], [8, 78], [69, 131], [172, 238]]; loss = 0.014379 low_pass_filter = 0.300
+Epoch 0: | | 37939/? [6:37:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 37940; scene = ['74eba9be56fdee5e', '6bac9522dd9bf619', '6dc467961a80bdfd', 'cf53d87ab9557801', '4935d29980eaf103', '29f20f745483699e', 'f6f9e1143d780e3e', '2b7d488bda993d57', '345208e1ad0a1f4e', '0c2c68a63c6abd0f', '4d93b0a1d23b35e1', '1d34b5ace7d314d4', '0e4fd48b69609a3b', 'e4d41618c44cfb3a', '5d208f960b52435d', '617dca58ae288a19']; context = [[9, 56], [14, 69], [85, 143], [37, 100], [146, 216], [13, 80], [19, 88], [31, 102], [148, 209], [81, 142], [0, 79], [13, 81], [9, 70], [67, 132], [56, 101], [2, 86]]; loss = 0.013186 low_pass_filter = 0.300
+Epoch 0: | | 37949/? [6:38:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 37950; scene = ['7ba3a703b6f4cb51', 'd49101fb6206fae8', '7ce10711c69048e7', '621c702a0b425aba', '6fa4c2007a0bf94f', '4b4d97c54ed93160', '7cb7cf6f9813487e', 'cfe012ee13f32184', 'c4217c1a6b2d6381', 'f028e6658136e9ba', '9dafc61a5619845c', 'fcf802fad585ff72', 'ebba5577b58ed999', 'c0198b22b5015afd', 'f892051838c9ee27', '1acf1fda04e66de3']; context = [[2, 62], [100, 184], [53, 101], [120, 176], [104, 156], [14, 77], [2, 84], [42, 122], [1, 48], [35, 123], [122, 185], [0, 62], [3, 53], [57, 122], [2, 74], [21, 79]]; loss = 0.015079 low_pass_filter = 0.300
+Epoch 0: | | 37959/? [6:38:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 37960; scene = ['4194fe1d6d7989a8', 'cf01fdadb2968466', '32d66e2314a8959b', '3e4ff48aeb70671f', '99c263031c11e520', 'd57c1c121c1968be', '78d68d455065384d', '915eb91aee459280', '13dc2ac8d31d423e', '7b37e0325f9d3240', 'f86abcf7e247ad2d', 'c82fdd33839610f6', '6da1a5a4dd0873e8', '16aa545846c4e20d', 'c89a6efe4e3459d2', '290707483e4f66a4']; context = [[7, 89], [7, 83], [79, 145], [48, 98], [82, 154], [9, 65], [29, 118], [25, 111], [151, 231], [89, 178], [2, 52], [73, 127], [42, 100], [20, 83], [23, 90], [87, 150]]; loss = 0.014475 low_pass_filter = 0.300
+Epoch 0: | | 37969/? [6:38:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 37970; scene = ['100d14afbc5d949b', '854536a1d912b596', '4539ac4b4cc5ddb8', '9733c922457884bd', 'f9efbd129bac6209', 'd15bd6b9d047eabc', '030091ba69ae37bd', 'e0810bce9eb04d63', 'd41a1962fa962d97', '72de1e94d9864184', '489033bdcaa98fdf', 'bd77b6ee00143f9d', 'a2c1e912a4cb686c', 'a3fa2b116cb965a9', '1c59278c74ba3308', '50a188daaccbfe3a']; context = [[156, 219], [83, 132], [6, 65], [64, 121], [0, 74], [0, 46], [18, 65], [1, 78], [0, 49], [12, 63], [14, 75], [129, 199], [80, 165], [111, 166], [109, 160], [30, 87]]; loss = 0.016892 low_pass_filter = 0.300
+Epoch 0: | | 37979/? [6:38:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 37980; scene = ['eed7e480a5e88553', 'b23bded8b95915ac', 'b69e804602b55e82', 'e4b7df0920724ef1', '1b0e42c4f8fbb88d', 'd1c3b86e61e4b745', '89c3dc5c2b6ca1ab', '543822331e271917', '15592e57716c6463', 'cb3dc5a6d4e40430', '0a91ba693acb65d5', 'b7264c9330e22b41', '0f249091b268d203', 'e387c66e18137d25', '168efc21cebfe627', '106fe8209a72148a']; context = [[22, 98], [78, 136], [114, 166], [106, 192], [5, 65], [30, 115], [4, 69], [0, 68], [6, 52], [39, 101], [10, 83], [44, 109], [17, 86], [0, 50], [115, 181], [112, 161]]; loss = 0.014243 low_pass_filter = 0.300
+Epoch 0: | | 37989/? [6:38:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 37990; scene = ['e970eebc4848850b', 'c75dd6b151fc618c', '5c047522c1e8764a', '70b6c45280496e84', '0b8049e94cc33a66', '39fa6b21b5a2e65e', 'b21393eccec63de1', '6b30b0a24f895314', 'e2c42c4361fa6ab8', 'bdb75944385bde23', '7b7be5f8bfa1173e', '34fb19cc7ed5b0f9', '2d366ded90859075', '914c3efa325a4afc', 'a1f824e305dab929', '7452907ecdaa8596']; context = [[210, 271], [22, 106], [5, 59], [1, 61], [45, 118], [36, 83], [5, 63], [211, 263], [2, 81], [52, 121], [23, 107], [15, 60], [54, 118], [179, 225], [2, 68], [75, 140]]; loss = 0.014220 low_pass_filter = 0.300
+Epoch 0: | | 37999/? [6:38:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 38000; scene = ['bbfe24412b6a31d1', 'ddb4a804da38d371', '28a03496f0eb63c5', 'a751b66299f1d15b', 'd8e17f025062f4f1', '43fd85a2b0eabe1c', 'b6b7088964391af2', '7320b68379cdfcc1', 'efbdf67e0c80c27b', '0d4d9f5a612e07e1', 'fe973886ef233d3b', '00b9fa905d6c0830', 'd2d56f61aa0000e9', '8bfae852fd12cff1', 'b0d712d80f8c1f51', '5e91468edcbd6a88']; context = [[40, 85], [32, 82], [12, 81], [36, 95], [16, 61], [23, 89], [13, 61], [4, 82], [38, 104], [12, 83], [129, 186], [24, 93], [9, 68], [13, 58], [0, 47], [97, 168]]; loss = 0.012138 low_pass_filter = 0.300
+Epoch 0: | | 38000/? [6:38:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0validation step 38000; scene = ['795919ce5d3a68bb']; context = [[13, 67]]
+Epoch 0: | | 38009/? [6:38:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 38010; scene = ['fffeb0ca5d44676f', '4d023ef833623c01', 'c07ea4ff919e5f92', 'e70cd0d4dee51c54', 'ef9c173e09936e3a', '5b97a19bc0a90bae', 'e879de97f064bfb8', '60c2c6de25a0ed1a', '06f0d295c0618b29', '71dd1a7180379d83', '2427ca82cfad894f', 'ada0d0dd176ccfb8', 'bd7fa99d58b0362b', 'b21e80e1fb0edc79', 'e8540008e013e465', '8f74fad88033f13b']; context = [[11, 101], [0, 56], [2, 88], [112, 172], [9, 68], [39, 118], [17, 73], [10, 58], [28, 106], [2, 65], [15, 105], [6, 82], [4, 88], [114, 190], [12, 69], [141, 221]]; loss = 0.015539 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 38019/? [6:38:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 38020; scene = ['7dd0a696ebe83c1f', '407c2d31135c10d1', '9c32aa3f41a35a4f', '6416a6bbc12231c9', '1e70c4bee94d800a', '22d6b729b80a9bd2', '1be6fc913f1d123e', 'afa22fdd147e61bc', 'cae8b53dd676ac7b', '5c9b1540859a5ba9', 'e0e1b530ae7d694b', '7671d4a8e9d7a57f', '46878ea8715f1d72', '8c42a0b02e4b80e7', 'da500b24da7a495b', '61fbb526c33626fc']; context = [[67, 149], [14, 65], [79, 139], [1, 76], [6, 84], [0, 60], [60, 127], [18, 72], [84, 130], [145, 211], [1, 70], [3, 57], [28, 114], [158, 241], [2, 69], [172, 219]]; loss = 0.012835 low_pass_filter = 0.300
+Epoch 0: | | 38029/? [6:38:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 38030; scene = ['603cf62aff2f71c6', '2ee1f2224cbb851c', 'd0e191889f83b0b1', 'b5550b977904cd1f', 'da4ba27d74469198', 'cd2d0358c4dea897', '8a0a3c7df6ffbd82', '9017942635379a68', '3c5994c8cfae8ae8', '81dfef60844b98c3', '0c857bd5980325a9', '6db759d88e9613bd', '276adc2b47826979', '03e725043bbd34f9', '5171530b8fb8dec4', '71f5c48a0eb24033']; context = [[0, 46], [45, 98], [4, 50], [0, 87], [46, 135], [57, 115], [22, 75], [2, 47], [3, 90], [103, 165], [168, 257], [2, 61], [11, 65], [68, 138], [88, 167], [1, 46]]; loss = 0.015292 low_pass_filter = 0.300
+Epoch 0: | | 38039/? [6:39:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 38040; scene = ['31546243e7d33be6', 'eb2f7073cf409991', '6c2ee57b58acd9e5', 'a2ecaa8119e0206c', '8a4818ab2308dba5', '47fe424d80ea8a47', '52cc0ae108971258', 'f12525f7becadc47', '5db1d88441035bc8', '7f407bcccf32d9ec', 'd69433dbc6bfb765', '0c11085e8ce53ca4', 'e4007568f51e07ce', 'd3e8c029f7ddfaa0', 'ea89b908690697c3', 'f1232446394f6664']; context = [[2, 91], [61, 113], [128, 209], [14, 72], [2, 51], [17, 94], [2, 84], [6, 74], [27, 80], [23, 78], [56, 121], [1, 57], [21, 95], [39, 90], [51, 98], [6, 57]]; loss = 0.011257 low_pass_filter = 0.300
+Epoch 0: | | 38049/? [6:39:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 38050; scene = ['9aa26b4c55199dd4', 'ff5a03ef6c90f076', 'cf55e72770ea7333', '06a1855c7d51b945', '525ec471352552ed', '71c29ce63894ae3b', '43c384625028872e', 'c93a9c352e932c3d', 'fae6b0485c4b48ac', '97c933ec95dccd16', '2f077fd02b5beef3', '66e596d7d9e69462', '52c9ffc4ef2a36f4', '6d6eb353e0bae93d', 'aac681d019b30c56', '58a22a9b8905283b']; context = [[79, 151], [24, 72], [18, 66], [1, 62], [196, 266], [44, 95], [40, 91], [86, 134], [0, 45], [137, 192], [1, 49], [77, 134], [16, 65], [12, 64], [14, 89], [5, 79]]; loss = 0.012453 low_pass_filter = 0.300
+Epoch 0: | | 38059/? [6:39:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 38060; scene = ['f35c7fc7d001fc2d', '38c67fcd3b8e4f8a', 'a1dff9c50d92dc9c', 'c906358ed16807b7', '6d7b3ffd5175ead9', '6f4beedb6cd7c925', 'c837242a35ebcdd9', 'cfe1c024f2d12648', '9e3c85ea17397fab', '1f55935786af5bc1', '54875c668498adf1', '691d1622f4daf7fc', '1f312a5d2b5f10d5', '65e26f9d3e6aec07', 'b8a321a196f4847a', '11dc92ba5c0e1ac3']; context = [[0, 51], [200, 249], [22, 77], [68, 156], [7, 83], [62, 144], [146, 227], [106, 159], [29, 97], [15, 104], [5, 57], [141, 201], [31, 82], [65, 145], [34, 93], [202, 265]]; loss = 0.012372 low_pass_filter = 0.300
+Epoch 0: | | 38069/? [6:39:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 38070; scene = ['d77956ef6cbdf5fe', '666c37ba7ac3085d', 'a2aa880feaa2168f', 'e5d56dd99ff3624a', 'bf0fa530693a0482', '16871758b1831d59', '6be29a69562abd4f', '8ce50844cac30a9b', 'd1655dc2aa093510', '03ea388058ebd7c7', 'db9459595f461e15', '24b8103eb6fea42f', 'f1a61757f68774d2', '07219a30092595a2', '0db71132ccfdfa95', 'e2d12dd7b49137c5']; context = [[34, 94], [64, 109], [1, 75], [12, 74], [12, 68], [10, 77], [1, 59], [32, 91], [71, 151], [5, 72], [31, 98], [34, 93], [50, 103], [39, 103], [6, 53], [17, 62]]; loss = 0.017218 low_pass_filter = 0.300
+Epoch 0: | | 38079/? [6:39:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 38080; scene = ['9751e8058f939d35', 'a888f72d8d7c6439', '6710d1cf945073f8', '8848542dc91040d2', 'f3afadaadfc48d89', 'ffe6c865acb68afc', 'bbeed8a96af80b12', '5a9279f3e6f0c6f1', '02f81f2a8a5b170a', '78403bea097bdb49', '96165ef749af6682', '4265bc29121b026f', '79a4eb8c12e5e4b2', '45b2c72ea9bee10c', '8152c1ea1416ea09', '1241752ef8ae4ebf']; context = [[136, 197], [28, 103], [58, 135], [2, 90], [9, 75], [3, 59], [67, 115], [62, 121], [12, 60], [114, 167], [19, 74], [8, 74], [16, 64], [12, 68], [149, 227], [6, 57]]; loss = 0.014990 low_pass_filter = 0.300
+Epoch 0: | | 38089/? [6:39:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 38090; scene = ['e7ec28035f8bde77', '7665ff641f430aa5', '400098a7ab312bdc', '4f2295416524f95e', 'ef8353177113530f', '8d45251c07bebb7b', '882c2c3ccb2f06c3', '6a089a1af0cd47d3', '17f8f8682a86f190', '6e23ea0adefdcdfe', '8044c8eaddd8149d', 'c61d93b01fd6e377', 'dc48281d021ea939', '0fef731ee5f47c37', '95ef183fe01ef0f5', '7e4fbd1d49769350']; context = [[72, 159], [45, 122], [24, 87], [24, 71], [85, 140], [9, 75], [3, 60], [22, 94], [130, 197], [4, 81], [27, 89], [3, 80], [24, 108], [11, 86], [41, 107], [12, 94]]; loss = 0.015359 low_pass_filter = 0.300
+Epoch 0: | | 38099/? [6:39:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 38100; scene = ['ac5159b7b9d8ab53', '06d29a52b4aebfbe', '74d65792ca14e978', '12e7764d11953827', 'db7a639eb376d2bf', '3f771cd05baf3191', '4994f79523443d28', '04635aa0ab8b1be7', '4cd63d7db9016541', '7c9d31be8c9d4e98', 'f9ba6c7965a9d01b', 'a8f03ba94fba80b7', '10a6ea4d69a2134e', '266a25ea018c3991', 'c0ea1e538c691ab1', '410f4bb395cc0603']; context = [[95, 177], [201, 251], [39, 100], [12, 63], [129, 202], [41, 90], [11, 84], [4, 64], [10, 97], [88, 143], [45, 134], [36, 107], [182, 252], [19, 79], [120, 200], [8, 89]]; loss = 0.017270 low_pass_filter = 0.300
+Epoch 0: | | 38109/? [6:39:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 38110; scene = ['f7a40f73064a3c09', '7ce8f268af6b46fe', '9d219f3e05b22cb2', '23ea245052ef54f3', '7bab8b0d42cf453c', '6de4cba695a484fa', 'a0593f34e6705c82', 'ca65a604c0f00319', 'c25c954d46c315f2', 'd1a233764dfafcf4', '5c56b0f05a358572', '574417986f69166c', '7515288e20354f55', 'c7aa7a7671b8b200', '7f4353922e24e719', 'a160e085a31100e7']; context = [[22, 112], [74, 119], [152, 235], [4, 76], [39, 96], [176, 255], [114, 173], [21, 66], [0, 81], [1, 76], [0, 55], [115, 198], [4, 92], [27, 76], [41, 99], [85, 130]]; loss = 0.015555 low_pass_filter = 0.300
+Epoch 0: | | 38119/? [6:39:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 38120; scene = ['8ed6bd5510e508fa', '9b0cc25536e4bee4', 'f02ac87191a94f65', 'ae8bc0141db29362', 'b34dd66d4d3ce335', '346afdcdd046633a', '8337ea841729afad', '80cef9332c5c91c7', '52d8989a74a35e76', '84f1b2387fb4ed36', 'fb0239ef9a6badcd', '76f0af17017975ef', '6138a5a6ce20fc7c', '0150a2343dbfb3ba', 'f393eb028298b9e0', 'e661e7c4043197b4']; context = [[1, 79], [8, 77], [72, 138], [60, 147], [10, 80], [43, 99], [76, 164], [16, 62], [4, 92], [36, 83], [26, 96], [0, 70], [7, 58], [91, 171], [0, 51], [160, 243]]; loss = 0.017593 low_pass_filter = 0.300
+Epoch 0: | | 38129/? [6:39:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 38130; scene = ['e1f2651b983c09c2', '605455dc5f1561a3', '40db90425440c8f1', 'be3bf9362857bffe', 'bae81f88d95d39cc', 'c7382b0e60e415db', '433f5fa510755d52', '3fbcb0eef93e818f', 'fa7f56093254350e', '56341c49ed4564be', 'e814b7a50ef25565', 'ba7783d6a7fcb47a', '87ffa8d57c4da273', '42dea626cd0ca095', '807743b71b28c82d', 'ef73fc2ed593798a']; context = [[107, 155], [7, 74], [8, 92], [222, 269], [34, 97], [6, 84], [43, 108], [60, 132], [167, 223], [8, 64], [15, 76], [36, 116], [10, 58], [15, 60], [1, 65], [21, 84]]; loss = 0.016542 low_pass_filter = 0.300
+Epoch 0: | | 38139/? [6:40:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 38140; scene = ['135cc677e20df588', '873e47aefa88e8cc', '1eb802d8fe855ed6', 'a9904976adc1707a', 'e1b54662af9ed7a8', '094bcdb1f7a09811', '165bd1ee2bde617c', '5b6d2302ce6b01fe', '65c0a05d71fc4a45', '34524c4a56295200', 'ed53bf7b8e6dc9d1', 'd79b8c2b038b19c8', '7f514243a8e4b551', '438dbd54911e9b04', 'de325a80c227d153', '9379827756f6a6ae']; context = [[132, 191], [12, 64], [36, 116], [6, 84], [34, 87], [0, 59], [15, 95], [2, 52], [39, 126], [57, 137], [76, 136], [0, 86], [81, 149], [59, 131], [66, 130], [46, 115]]; loss = 0.017454 low_pass_filter = 0.300
+Epoch 0: | | 38149/? [6:40:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 38150; scene = ['89eebf1d7befa3d8', '7d454aa1c9674e38', 'b2b7ba2a00b3c623', '922a0e455b8fc98e', '895fa1fa9318bb6c', 'd7baa9fa37afffce', '4259a1201cffe536', '11dd67b48f30d4e7', '940334dc257b987d', '369b2f3131355338', 'a42750e1e0a3c9ca', '2c0ba42bfa8fbc37', '90394a4c6c156fed', 'bb5ac676de37d914', '5bece91c5864e528', '92c6b068eef863c1']; context = [[2, 64], [45, 106], [21, 68], [26, 109], [5, 78], [39, 122], [25, 85], [1, 46], [1, 84], [23, 95], [185, 264], [25, 98], [106, 168], [154, 203], [14, 89], [13, 81]]; loss = 0.013966 low_pass_filter = 0.300
+Epoch 0: | | 38159/? [6:40:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 38160; scene = ['3fa7e46f69f63e82', '9ed1d7c9ed46065c', '27dc881a8fa5276c', 'c94ec3f86fead3b0', '11eb0d782cf61b19', 'a18518483973d59f', 'd4a37e11eadfc95c', '24d8b647ef7f22a4', '3f1c33f170470614', 'cde9a6374acd65c4', '247314eaa1846103', '23db49eb44d99d61', '5376cc836571e8d6', 'c5c352e72df9640b', '893cad7c624662b4', '24a67da9e605b0ea']; context = [[4, 69], [10, 57], [6, 68], [67, 137], [3, 64], [38, 116], [9, 66], [30, 81], [70, 150], [10, 85], [34, 99], [87, 177], [56, 119], [83, 140], [11, 56], [50, 138]]; loss = 0.014405 low_pass_filter = 0.300
+Epoch 0: | | 38169/? [6:40:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 38170; scene = ['ba5274c1495ea772', '7f823efe075dd4af', '86d1884b9379cdae', 'dcbc43cc4c517240', '832a01fdf895e5d1', '5416177602a8847a', 'a383474ec46a9ffe', '91520d618743f9f8', '4e3af11c191aa004', '6dd2c631caf47e6a', '85a060a0b916ee87', '26eac1ddf9a6fd62', '90d01e4b8ee39f77', '194c15e39ebf1c3b', '8db3a405c4842cd6', '939922a0254a05c5']; context = [[163, 234], [4, 72], [3, 56], [2, 68], [3, 74], [0, 49], [76, 133], [37, 112], [43, 108], [4, 53], [2, 47], [138, 214], [12, 99], [1, 64], [83, 144], [0, 81]]; loss = 0.014900 low_pass_filter = 0.300
+Epoch 0: | | 38179/? [6:40:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 38180; scene = ['900522b1f171d2ad', 'a631c0001529db4f', '8469432c4fae78ea', '185019797e58d521', '118d4b84db5dbeed', '764c6a2e15e46440', '0f18776cffbe3802', '0d67b5add85d8684', 'de2118e0b2974196', 'c773a533e1a0fbbd', '8d050a45c7deba1b', 'fe90475a8c70802c', '216132a3ee19edef', '049240ca26d08a37', 'fcd937db96de8e81', '97b862f1d02a28b8']; context = [[39, 119], [16, 71], [48, 117], [49, 94], [50, 114], [24, 76], [54, 101], [4, 62], [21, 83], [9, 69], [2, 49], [3, 89], [39, 117], [0, 86], [205, 256], [51, 117]]; loss = 0.015041 low_pass_filter = 0.300
+Epoch 0: | | 38189/? [6:40:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 38190; scene = ['b18cf71baf1cf74e', 'cb3bc0914e27fffe', 'b53c5559170c4f78', 'e3eba229b7c2a1b0', '9591f742a8d2aa60', '57f7dda2910d8e18', '47ceea212d614aca', 'e786fb9d7882a09d', '5e2b1adedccf835e', '0020e1f0ec424295', '69fddfb63cddb04b', 'a702fc442bc46ff0', 'e85dc47bbf657808', '1a5c2d955f8a606a', '71210766ebea65a0', '0b807904f44b21be']; context = [[59, 137], [119, 189], [57, 111], [61, 134], [39, 99], [204, 271], [4, 66], [2, 69], [44, 134], [93, 149], [33, 119], [20, 97], [8, 58], [1, 59], [0, 52], [24, 73]]; loss = 0.012473 low_pass_filter = 0.300
+Epoch 0: | | 38199/? [6:40:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 38200; scene = ['22dbf576eb8db504', '14bb80a024efa7f7', 'bca840550b078409', 'e0a3d93c32415baf', 'cd2224dc5cf1aeba', 'e703ae014c23f104', 'bb2134d7b8ce27e1', 'a7487544a702062e', '680c110fec1cfd6f', '6a9ef43aad817a17', 'f8249602f2e057d8', 'f729e9559d43b363', '2c6df89c1fb2b8fc', 'ae8b9ebca8a85d7e', 'c5f15655a223ac6c', 'f1af5a215bbc3f33']; context = [[35, 82], [11, 63], [4, 57], [11, 65], [156, 239], [62, 129], [12, 64], [185, 238], [17, 63], [2, 51], [74, 156], [20, 81], [66, 117], [179, 241], [53, 141], [11, 75]]; loss = 0.013489 low_pass_filter = 0.300
+Epoch 0: | | 38209/? [6:40:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 38210; scene = ['8ec32dd001a2b529', '6ad946dc7c7a5ae7', '87b39fab5d5d0845', '9dace42deebd482f', '96489fd56f875313', '129aa9e63c248582', 'afbf21db765f449f', '1ab73610902ef496', '589eca489876d5ce', 'eb864005eb96e04e', 'fcc7db4ad1f2444f', '68e44802abfd01de', 'd0dafe9fb581b7aa', '4c25541299a7564e', 'e227966853a68fc4', '74598395cd311540']; context = [[15, 84], [12, 92], [5, 57], [83, 163], [32, 79], [53, 109], [0, 48], [21, 107], [12, 92], [80, 144], [12, 64], [3, 49], [20, 76], [1, 60], [62, 129], [22, 72]]; loss = 0.015006 low_pass_filter = 0.300
+Epoch 0: | | 38219/? [6:40:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 38220; scene = ['2be5bcc2bfc63d6f', '3215c44334e6b46e', '055770d0ed121f92', 'c2862c7706ba87ec', '525cea0937bd926b', '04d4ff903a298bcc', '26426b411d79a491', '46cb2ccc95cb0127', '46ef434380db311b', 'f36cf47d7433abf0', '72e1d432295370f3', '5dea38e23f887399', 'dd33a349e8d438ad', 'cfba234676b286de', '7fd277e5b05ceba5', '683c4fe20bb08898']; context = [[43, 113], [8, 67], [1, 51], [98, 164], [7, 73], [7, 92], [0, 50], [44, 123], [194, 241], [0, 78], [3, 76], [33, 116], [99, 151], [16, 83], [78, 156], [93, 153]]; loss = 0.015132 low_pass_filter = 0.300
+Epoch 0: | | 38229/? [6:40:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 38230; scene = ['66ca2e899ae0b7fa', '55ac66369fc98064', 'ab23d838a90992f1', '4686d80203cd7b26', '8700feb8f22f9e14', '03f786b8eb33e189', '040bfec885ae8841', 'd9031a7327efd918', 'a493fb48c96ca433', '614707884d4d8849', '646e639101301454', '2fddf9fba77c95d2', 'b059d8af02000549', 'd60c7cd2305a354e', '7b1b9251be2c1a82', 'f4f4b50a47089b2e']; context = [[9, 64], [142, 220], [34, 79], [4, 49], [90, 140], [21, 87], [39, 127], [21, 89], [9, 55], [47, 137], [16, 106], [5, 71], [86, 157], [0, 89], [112, 166], [17, 71]]; loss = 0.015366 low_pass_filter = 0.300
+Epoch 0: | | 38239/? [6:41:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 38240; scene = ['60f0df5a29ebbbdf', '3c6ab7881589fb15', 'd8f3e400da5eecfe', '4c4dde87dbc696f5', 'b9851b3bac1fe73e', 'a981c29bc5c30f17', '51ee504c7ec5dc8f', 'fe50b06ab180e0a3', 'ec0daf16786dc234', '32374c6524a6cdd2', '6dd4fb3dbef4c963', '4465e0bba146a369', '7546a4733dd1d072', '279b987bfb5f8d3d', '828ee2b2720b64f9', 'a5e62b760ec6ca2a']; context = [[2, 70], [8, 81], [86, 172], [92, 154], [43, 98], [71, 150], [13, 68], [10, 75], [44, 101], [18, 99], [144, 198], [139, 204], [8, 89], [9, 97], [0, 55], [163, 209]]; loss = 0.011834 low_pass_filter = 0.300
+Epoch 0: | | 38249/? [6:41:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 38250; scene = ['7f7eb55d1d688772', 'e76a0364d7a3783e', 'b54fe52843e0eae6', '1b618cdc14c2610c', '9f710f017b023a0f', 'afcf166d35c344b9', '4de68fe45f2cf8da', '0653c0585c65ef9b', '6b643ea7fd9a47f2', '7523be2bd95f683b', '01fd1eb6cc528bf4', 'f30c1287b499b59f', 'b19972ab772a18f4', '195730230988fc0d', '23c1c051577af287', '3c79b442b329338e']; context = [[54, 104], [5, 53], [115, 163], [1, 58], [21, 89], [8, 71], [146, 207], [71, 118], [19, 88], [22, 88], [20, 67], [79, 135], [23, 85], [165, 220], [117, 199], [15, 67]]; loss = 0.015712 low_pass_filter = 0.300
+Epoch 0: | | 38259/? [6:41:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 38260; scene = ['c9408e8e90811892', '7cd557781282258b', 'e12f36a5b5264daf', 'ae04205e9b82fb72', 'c815c32d584db109', '0df0d2b8a2951f0a', 'af418ffab959eb5c', '3d28451476ab9d9b', '5258d714dbd81b7a', 'bc7f04a3ec906867', '80cd321297e1960f', '5979f56b953ff1cc', '5ab82d98941fd59a', '8233b3467c6f4f08', '4d40dbdbce44d5dc', '4dd89c9e62c601a2']; context = [[1, 47], [14, 73], [14, 65], [48, 130], [40, 116], [0, 62], [88, 167], [64, 115], [97, 154], [111, 192], [181, 234], [19, 88], [143, 219], [26, 82], [15, 63], [3, 61]]; loss = 0.013624 low_pass_filter = 0.300
+Epoch 0: | | 38269/? [6:41:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 38270; scene = ['db5bb3e9a305aad3', '2fc2e98d50166cdf', 'a2169d8a42eab0f2', '049782b6f061709a', 'eed7e480a5e88553', 'b23bded8b95915ac', '3e568ab74fb51248', '1e946a362b6b9ca2', 'e4b7df0920724ef1', 'b69e804602b55e82', 'a0c40378636aecde', '14865449e509b130', 'a895d0e5fbebc994', 'c20056ad4ee43cc2', 'cb55f629c53c6284', '00dccc33a223dfb7']; context = [[49, 112], [79, 133], [150, 206], [22, 84], [25, 86], [29, 114], [73, 120], [1, 67], [159, 240], [100, 165], [139, 198], [75, 136], [9, 82], [32, 113], [98, 182], [3, 72]]; loss = 0.013017 low_pass_filter = 0.300
+Epoch 0: | | 38279/? [6:41:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.0train step 38280; scene = ['b1057c3128c831cd', '0fbda2625986ae43', 'bebaad423dbc6559', 'cd1772d5472a994b', 'cf36ce207f8f1da3', '67958ae0489a0750', '1ea972dad8710e4e', '6f515f805a3d2848', 'e599e584e54fd42b', '9687e70e5f4eed37', 'b7b258cdbcf3f630', 'ce31e33f156aeec5', '4af0acc8924f8df3', '756a0a00121f53d3', '214c29d12940696a', 'ec719970f17f2eed']; context = [[6, 51], [0, 59], [9, 56], [11, 66], [21, 88], [62, 115], [29, 83], [31, 92], [5, 60], [30, 119], [36, 113], [33, 92], [0, 77], [6, 94], [64, 133], [4, 74]]; loss = 0.015243 low_pass_filter = 0.300
+Epoch 0: | | 38289/? [6:41:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 38290; scene = ['13111aa5cfe49771', 'cfdd29966be9743f', '8021ac4beac662d6', '13bd90e16804d6e6', '2e30729406fd530c', 'b0b8d4c9ced5ad4c', '9e5b0c23b2b7ce1c', '5892be62d259a06c', '827f9147cd39f3e2', 'baafaa0a9cddbbb4', 'ea248182d2b0fbec', '70f18731a05c3d3a', '304af614678c4fc8', '8ff3b15727d6fa7f', 'cb37fdfe60a60681', '43132efce70bfb06']; context = [[130, 189], [0, 65], [13, 76], [1, 87], [1, 52], [5, 54], [14, 68], [11, 72], [18, 104], [4, 76], [127, 207], [8, 82], [22, 86], [57, 117], [29, 111], [42, 91]]; loss = 0.011684 low_pass_filter = 0.300
+Epoch 0: | | 38299/? [6:41:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 38300; scene = ['4907375e0a4de10e', '09a0b9fe4c9b0691', '097b23d5ae2aa4de', '3f30aa84e7305602', 'a10052fb69f15ffc', 'd33be1bdf678f485', 'ee91e9f8cc43c212', 'def6c462813743ea', 'fd7b3e3396405640', 'b3574acd3997c5bb', '1160b234bca769f7', 'b4b4807fc6898e5e', '1d5d2ff5c922e173', 'c97d0f5fbaaf615d', '9776817798733916', 'c79300dcf820a440']; context = [[27, 86], [10, 61], [2, 78], [163, 252], [112, 164], [6, 64], [5, 74], [39, 127], [0, 66], [146, 194], [8, 63], [8, 87], [3, 49], [79, 133], [7, 79], [193, 263]]; loss = 0.012499 low_pass_filter = 0.300
+Epoch 0: | | 38309/? [6:41:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 38310; scene = ['ddb51cdef2541928', 'ee78647843511a4c', '7bc7fdbcf2d99f74', '8d3bba01b2043d82', 'd2effa96cf9396c9', 'c5d83d3dc6ee634c', '9fa1697870cd2212', '6d59697bc66e7dab', 'e3e872cb421fb27b', 'e62eb323e888a344', '4436c876ccee946a', '005c440a72e93b03', '453c8b8188182228', '9444787f48a50cae', '015cc846a79bd3bc', '35ac2da38eaff5c1']; context = [[56, 123], [1, 50], [59, 144], [5, 83], [108, 179], [15, 81], [26, 102], [0, 57], [8, 85], [57, 117], [1, 47], [49, 102], [1, 90], [169, 242], [130, 210], [29, 105]]; loss = 0.013705 low_pass_filter = 0.300
+Epoch 0: | | 38319/? [6:41:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 38320; scene = ['52686964de0ddc8d', 'a2fdff8f3ea9d692', '82cb6547e9e4764d', '3fe89efff3d1059d', '58c80e5820b75155', 'f7030da7965f4802', 'da2089bb834c5d90', 'b29f6dd77451ab4f', '9890a01b883b8cbe', '6c52c204d0fe9f7f', '83559529fc525a03', 'c7729ec50d323a67', '066f2d93ea35667e', '0c178168a07f84a9', 'e62ee8ff4179b4b6', '5859921034bf353a']; context = [[47, 133], [2, 91], [9, 89], [40, 99], [184, 249], [13, 72], [103, 181], [12, 61], [45, 134], [73, 144], [9, 66], [136, 204], [76, 125], [68, 119], [102, 172], [40, 120]]; loss = 0.013078 low_pass_filter = 0.300
+Epoch 0: | | 38329/? [6:42:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 38330; scene = ['cb9342e0228169dc', '5506f368be3afbdf', 'a34af0c26cb1ee8c', '1b6a7841c9586b0e', 'd5e6d754c9163772', 'c9f0b268b1aa5e1a', 'e97f1d7c3cabe2d9', '9ad8c7f6b7e9e5e6', 'f158f2d611e892c2', '500c43d0f0558034', 'dcd25be274f2d684', '8bd1355a3c06d06e', '3ccab933e1fe46c5', '4391bd534b35a7ec', 'fe0c45f167fc9687', '1e49c06b94a82f69']; context = [[34, 83], [6, 78], [160, 223], [2, 78], [21, 107], [15, 60], [8, 61], [7, 62], [4, 92], [22, 110], [168, 233], [16, 69], [53, 130], [50, 122], [6, 60], [59, 122]]; loss = 0.017015 low_pass_filter = 0.300
+Epoch 0: | | 38339/? [6:42:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 38340; scene = ['7ca371bda254ed80', '7754fa3ca481fc0e', '5b458ab008fafb80', '8c6d47f3c5e452d1', 'a6f8fd517ff5fe42', '589132cb58573057', '640c27b117876bef', '90b7a1054476cbe1', '2de7f58f5e033b42', 'eab8866b4c520101', 'c8dcc958da71336e', 'cea44a6c6a0d3848', '7554edcbb2a0f82d', '03036efc7c7ae3b5', '3effc4406f9ddaeb', '3f82be8d7f99dce1']; context = [[6, 51], [6, 94], [6, 67], [7, 77], [117, 163], [15, 78], [1, 52], [1, 59], [0, 49], [9, 72], [13, 78], [19, 107], [5, 80], [20, 98], [0, 45], [10, 74]]; loss = 0.014395 low_pass_filter = 0.300
+Epoch 0: | | 38349/? [6:42:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 38350; scene = ['b93f580eeb0d415e', 'a06d7d6dd50ff425', '4c2aeac45ae2e8ea', 'ee89a333d4e74ed6', '9d8a3b81156d4a70', '2577a62563d9e461', '565a146a1bb89917', 'd6cd105aefa11ecc', '19062aa8b95be419', 'b03c5e39d2fa1213', '5501e099f52d4060', '14d69bdfa0a25f61', 'fd63b19fb7bace40', 'e9d74753ca5f50a5', '1f8a8b017c031400', 'a7e3532e7518fccd']; context = [[6, 65], [41, 128], [18, 70], [0, 76], [18, 97], [8, 69], [17, 91], [18, 66], [29, 106], [2, 60], [102, 182], [121, 191], [15, 104], [5, 89], [19, 76], [11, 71]]; loss = 0.012126 low_pass_filter = 0.300
+Epoch 0: | | 38359/? [6:42:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 38360; scene = ['1a4c46c32d5e962b', '8996bf2348df5d5a', 'ef240c57fead88f4', '8d6ceef8cd44e71e', 'b0a195ab00e995ff', '7bf3bcfa70187760', '627c748bee352f2c', '8df7ef966383d5ba', '81426f2270c3b08e', '732abf691a394d52', 'b7c6b90e35e90b64', '0f95a449625188e4', 'dfc77139dbbd58f8', 'ad709a99df55f4db', '61644a77e92ea84f', 'a005c2781ac3e795']; context = [[70, 146], [10, 67], [18, 103], [3, 84], [21, 98], [110, 198], [19, 79], [84, 132], [14, 61], [71, 121], [4, 80], [3, 66], [4, 88], [66, 148], [184, 252], [176, 233]]; loss = 0.014064 low_pass_filter = 0.300
+Epoch 0: | | 38369/? [6:42:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 38370; scene = ['b34a3688cebac757', '6d889e6ed99825ea', '174aca67c95ef4fd', '5e1d6b188223a8e1', '1a846462d45d4654', '86fa33e82678f2b4', '579a11551b3315d9', '295801c148aaa848', '1430e60d559cbd58', '8ef0da3c9de40839', '43cc177db8b56bc2', 'aad0b5079f1ae97b', '90470d90591e24b4', '84348853c9413627', '178c528daa5656b4', '859bb0d976d968c4']; context = [[99, 149], [52, 109], [38, 98], [19, 71], [12, 90], [33, 116], [108, 162], [13, 65], [66, 128], [18, 72], [4, 84], [89, 177], [174, 223], [26, 97], [21, 81], [39, 97]]; loss = 0.014210 low_pass_filter = 0.300
+Epoch 0: | | 38379/? [6:42:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 38380; scene = ['9521339418d61c69', '95ad20e7e706f231', 'c620b4af45dc7445', '9d111016abf7bbe3', '9d08335534a50892', '3dd491fd2c03c32a', '4ed5567da37496b3', '51ba4ece94e03558', '7948506f5ce08ebc', '069ac52b8f1c406c', '38f5451d38a45659', '775c972bba0d00fd', '0cdc6eed0cdf0614', '9dbc40d2811387bb', '97a2da18d56a9288', 'dab8595201dc5eef']; context = [[30, 94], [101, 146], [3, 51], [0, 67], [2, 78], [66, 142], [24, 91], [7, 96], [0, 45], [0, 79], [117, 162], [61, 127], [13, 60], [189, 275], [64, 146], [74, 123]]; loss = 0.015162 low_pass_filter = 0.300
+Epoch 0: | | 38389/? [6:42:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 38390; scene = ['e9aeda15b7117ce1', 'dcb8ad3a1428b56b', '0b4070d37e896388', 'cc375304e2e198e9', '9808ade599ce3b8e', 'e227d56dd6f178c7', '71a56f5379e2f975', '4cd18aa0eddf1c14', 'cdea215558754e76', '66530b646b00a9d7', '6fab51a37edb7739', '041619ff29c07a62', '08fb209705cee001', '9da6aaea2fac36a1', 'e7ac00fe81e73794', 'a18bdef99130b25d']; context = [[33, 106], [77, 124], [0, 64], [129, 190], [15, 71], [82, 130], [11, 56], [1, 48], [75, 149], [1, 59], [30, 84], [66, 131], [8, 76], [44, 106], [42, 89], [7, 73]]; loss = 0.012147 low_pass_filter = 0.300
+Epoch 0: | | 38399/? [6:42:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 38400; scene = ['0fc343543da71493', '4d35f03c8c3819b9', '396ddb86bfd42bbd', '3f075565092a0ab4', '71a0dfdb3d2bd300', 'f75559c7b45644ac', '56adaa848e8fd3a8', 'd230319d9b2eb982', 'ed4aaf769183d739', '18473bb5ac20fdda', 'b7556b0783a9501e', 'e1093f799a6383d9', '77530dbf37d42b74', '1aef6f4ef6ceb889', '4e3f03d8eb84477a', '2b65b1447b5a16a2']; context = [[91, 152], [7, 79], [125, 188], [71, 156], [4, 75], [10, 91], [8, 88], [0, 51], [17, 70], [27, 108], [1, 80], [3, 58], [149, 224], [0, 56], [1, 63], [13, 69]]; loss = 0.017821 low_pass_filter = 0.300
+Epoch 0: | | 38409/? [6:42:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 38410; scene = ['a521e111454639a6', '26288836b4fcfe1a', '1858bab72ded2a0c', '88a20a3975340b93', 'e848c905d9fafcac', '204b82c216ba2828', 'eaf92f56c0123486', 'e4d35d84dc2ae70f', '5310406b3fa1022f', '316e338bfa97f75c', '0525f00d5105a059', '63e1fe6bf65b14e7', '83222e191a9467b0', 'ebde595b532cf60c', '34461872e645d034', '338d0fb7e58dd4a3']; context = [[7, 72], [68, 152], [3, 83], [4, 60], [1, 83], [82, 136], [76, 128], [1, 48], [184, 249], [43, 118], [66, 127], [15, 77], [143, 221], [17, 106], [24, 72], [4, 56]]; loss = 0.013556 low_pass_filter = 0.300
+Epoch 0: | | 38419/? [6:42:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 38420; scene = ['cdbb5456c4a6c130', '4ac72b0e9795380c', 'c3a695650753db89', 'a3e389b0c33b31cb', 'afc302429757e7af', '8a543bf958e48dea', '1ec4e8dc19eebef7', 'b5e452fd635696a5', '44cbbd7418d66552', '45a6c95be2ac580b', 'f990f04ead348fe0', '29abe79174e04768', 'ebbd8c36a1a8d3c2', 'e5056d1efbf95610', '07e6f68d194480bc', '6e87dece9971c8be']; context = [[168, 245], [37, 124], [44, 97], [16, 66], [0, 49], [21, 76], [14, 91], [18, 88], [187, 259], [21, 88], [63, 118], [162, 252], [4, 56], [199, 250], [0, 55], [108, 179]]; loss = 0.013517 low_pass_filter = 0.300
+Epoch 0: | | 38429/? [6:43:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 38430; scene = ['40711ee6462e7254', 'faaadb1ab4e5dab8', 'e33eccad78073ab2', '4bda601d846a36ae', '8edd698ce5488c71', '5f25ec2442e46bad', '9fcc33efe22e628d', '1f76a27914c5ceb5', '8a405f69466ad025', '5eb8ab1a5606bfaa', '346eeacde06e985d', '503fc5f0776ca765', 'e47205222b26ec62', 'da277be2ddd6be22', '24b4e7a8f691da66', 'a5e1088fb3d37e9f']; context = [[3, 69], [89, 178], [30, 87], [17, 97], [190, 247], [53, 98], [25, 80], [14, 94], [45, 95], [7, 91], [96, 166], [1, 51], [45, 92], [15, 69], [4, 52], [112, 169]]; loss = 0.013351 low_pass_filter = 0.300
+Epoch 0: | | 38439/? [6:43:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 38440; scene = ['5bb3babdc48efe4a', '0a73ef739700242e', '189366a33885235f', '39f7f64e28f6a190', '8744fe6d01ad5911', 'f962c53587f9a347', '15725569dcc1e45f', '3bd78bd3b9192c89', 'c2f81baad4218015', 'b241f84a15ca0d97', '7a7e0b3e3430b6e0', '0256d7a94747c1df', '880a284f8c74d2ab', '93daf4ce55a5d530', 'c2614148023a0092', '5500c64041dcdc69']; context = [[29, 95], [38, 85], [56, 114], [0, 85], [193, 264], [3, 81], [123, 202], [199, 254], [79, 163], [23, 95], [80, 130], [0, 69], [36, 117], [175, 243], [11, 95], [8, 72]]; loss = 0.013896 low_pass_filter = 0.300
+Epoch 0: | | 38449/? [6:43:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 38450; scene = ['786db6f690f1fe8c', 'afcac5c329658e0a', 'e858dddbc938ec13', '2ec142057d100f69', '0d3777b8fff2c21f', 'd0e5ef7568ba62ec', '5d7eb2a9c30e0fcc', '429ee67552fb4347', '7a4aa9466228e850', 'c620cf9d6045d520', 'f3a27b723953dabb', '0f25e8119ebd2b9e', 'fe5e06cd40924c05', '617b4bc98d7e0bb6', 'dd41e2ec5e3c45cc', '274367d890191087']; context = [[71, 134], [10, 98], [22, 79], [3, 49], [118, 198], [69, 117], [8, 70], [27, 89], [49, 107], [0, 68], [98, 148], [151, 224], [3, 54], [9, 68], [10, 97], [14, 65]]; loss = 0.021716 low_pass_filter = 0.300
+Epoch 0: | | 38459/? [6:43:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 38460; scene = ['99ed4006744a905e', '0cc5b30249c3c951', '508deca74f1d1a90', '6d0cb1621ef51ae4', '681d0a62e1ab6d4c', 'b23e9b8c836e1712', 'e3dcde521e8154be', '36795c050903f898', '8f6e5309cae27ee8', 'a7d1c1b0380e024e', '61f632f15f7642fc', 'e85e03cefe94ee41', '61b70b736221eee4', '7f9afb310bcd794e', '8cc3897789fbe321', 'b45e351361e11b7a']; context = [[15, 83], [85, 135], [24, 82], [0, 45], [21, 79], [76, 159], [2, 64], [10, 73], [33, 98], [5, 85], [124, 188], [6, 62], [14, 61], [2, 68], [36, 98], [135, 210]]; loss = 0.011068 low_pass_filter = 0.300
+Epoch 0: | | 38469/? [6:43:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 38470; scene = ['6c0e4126b5d4e92f', '344c830b21870a79', '53c0505255ce7322', 'b963ab9d26b8da09', 'e72d26f6d354ec4d', '8ce724e52ff6c826', '7a336718fb127af6', '80cd3bcbc1be5c9f', '721e2ff6feff2137', '6e6fcfeacf855c0a', '16fccc4a79f5d064', '7a75e735a35dad9d', '9279e8c39cc97f61', '3e0937db6474b95a', '2687919de74c53e4', 'fb7e590e55d73d74']; context = [[14, 95], [4, 72], [13, 84], [25, 85], [8, 59], [138, 202], [16, 81], [7, 77], [83, 133], [175, 243], [0, 88], [35, 113], [10, 65], [2, 80], [52, 135], [9, 84]]; loss = 0.012698 low_pass_filter = 0.300
+Epoch 0: | | 38479/? [6:43:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 38480; scene = ['15076bf2743d9c16', '74c22eae5c48a79c', '9b7403bb0613e92c', 'a7e5c2b2c8fe38eb', 'e8b215c693c8c6b4', 'd9a133a4747493d2', '7499489011622024', 'b7b940096bce069a', 'a9b7950720515148', 'd821b84ef7e2c186', '36b937cc3684eddb', '2c8487ab01c71a50', '71b063c7314ecdc9', '9efc4c71d82f7576', 'd8fc4c664a4adc05', 'f09b2a3782ff7908']; context = [[52, 136], [17, 91], [16, 74], [3, 60], [6, 59], [2, 63], [82, 151], [11, 56], [156, 228], [14, 85], [162, 227], [99, 158], [7, 52], [146, 236], [17, 92], [68, 147]]; loss = 0.013256 low_pass_filter = 0.300
+Epoch 0: | | 38489/? [6:43:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.80, train/active_min_children_step=1.0train step 38490; scene = ['db835890a0f00797', '3052b5f6cff53c4f', '1d9a4fabedaa8d87', '2e9e4bab16c8ede6', '07c9ccb6ebdc2243', 'a281a0c3af76f33e', '956274d5bcd97d41', 'ec30b155fdb742b4', '349a1e6d1ef1083d', 'cac3f22b990387cd', 'c1b6e10c20d99e06', 'bcb35fbe47324395', '6f22c617870a2aae', '25566dbcbdb9d453', 'f36f99cf29f3be44', '6f5935c4967852ef']; context = [[18, 71], [0, 58], [0, 68], [23, 82], [0, 45], [102, 168], [57, 116], [4, 67], [2, 66], [13, 103], [34, 80], [1, 54], [0, 68], [13, 63], [57, 137], [9, 81]]; loss = 0.013204 low_pass_filter = 0.300
+Epoch 0: | | 38499/? [6:43:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 38500; scene = ['84826a7eacde5724', '5fb199b37014d66c', 'd976550245197d78', 'fede05c657df0a63', 'b115f950488e134b', '13ecd1456ff46c69', '06f2bb925daa11d9', '8bb208b737aa4c51', '8d4901ef272f4c76', 'ea5d068f5a9e8a37', '317793fd02ff438a', 'bc166c31e86f0980', 'fcb923af000d2de7', '0b84a4e9b6f93502', 'f93f717921f966d4', '6383e34da3d854b8']; context = [[3, 75], [11, 74], [9, 62], [6, 55], [74, 135], [35, 106], [5, 84], [54, 120], [29, 99], [6, 65], [1, 48], [63, 114], [39, 93], [68, 124], [4, 67], [75, 120]]; loss = 0.016822 low_pass_filter = 0.300
+Epoch 0: | | 38509/? [6:43:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 38510; scene = ['e80bef1c78cf387d', '1e1e3b854053c24d', '63837c658c70831e', 'd0a16b06f69a2d8d', 'a0d31c69a46564b4', '93dff1b985f2c7f9', 'd84314e40106b178', '14a833892552df24', '7d8fadeec3c00b27', '39219a175ab0b0a0', 'd9058b1f28d6b2ea', '965128a1f8209c37', 'da388971863189eb', '4a59e90587a79247', 'ffa35fefcaf1f3e4', 'e9efe0fcc7a09cba']; context = [[13, 80], [48, 128], [15, 89], [48, 101], [61, 138], [2, 62], [97, 144], [18, 101], [24, 89], [67, 141], [7, 72], [29, 111], [5, 85], [98, 153], [20, 89], [18, 106]]; loss = 0.015207 low_pass_filter = 0.300
+Epoch 0: | | 38519/? [6:44:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 38520; scene = ['b18ea5dbd9802931', '54d0b9c20694ae47', '3664b674b6366549', '8f671fe0c0ce0f4c', 'c37b7e0185f4f065', 'aa65023359f54a83', 'fbed2318ae410b31', '742eaf7317415c35', '6a239fe4886c5e3c', '334c2ced21dd375f', '72016c9b041f4bcf', '019fdd708d7163bd', 'fc33d4814d21b0ff', '4c94dc60ea4fc29e', '8093a591925afb51', 'fa743fadeb3db677']; context = [[8, 92], [15, 80], [74, 137], [73, 142], [11, 78], [179, 232], [33, 119], [1, 80], [58, 108], [15, 61], [14, 77], [62, 128], [18, 107], [68, 132], [10, 71], [19, 72]]; loss = 0.012066 low_pass_filter = 0.300
+Epoch 0: | | 38529/? [6:44:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 38530; scene = ['6c50cace5a9d0ea4', 'd42fc65806d78ed0', 'c715d9484ed86f27', 'b06c4b68ab1718fa', '6fdea1a47180a4b7', '1492f66574082e1c', 'f0fb71e87e8675d2', '2ee23f8203b533b4', 'b5dd1aef60dcc6f3', '9d682af42dd7d886', '02bb7b7e42bf32cd', '82173fff18851e0a', '8c2bbeac9417065f', '674f584b6f09a890', '4d5b55c12c0028dd', '9012dcef99974756']; context = [[29, 86], [71, 153], [170, 248], [11, 64], [216, 271], [5, 72], [9, 63], [27, 105], [43, 97], [191, 268], [11, 69], [61, 110], [7, 71], [14, 88], [27, 77], [16, 62]]; loss = 0.014541 low_pass_filter = 0.300
+Epoch 0: | | 38539/? [6:44:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 38540; scene = ['db554baaea71b956', '88d8e90884122b24', '2ac2be72df08b59f', '50e795080ac74ba6', 'af337d532480c9fc', 'c8d451059ee45199', 'f7de3e254a610c99', '958fe0064cdf4fa3', '13fb5d75101de85f', '5d3116380b1a12ed', '2b6a1efe983fbb21', '8d08c7ea1726e42c', 'c3c8116aa7b8bd72', '7101541e2e4954a0', '7eec4596331ce590', '82052140f174ac58']; context = [[35, 82], [98, 157], [131, 177], [1, 57], [64, 112], [9, 74], [141, 197], [46, 118], [23, 90], [5, 62], [0, 77], [1, 53], [14, 80], [66, 115], [70, 129], [67, 115]]; loss = 0.012973 low_pass_filter = 0.300
+Epoch 0: | | 38549/? [6:44:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 38550; scene = ['abda7c79ca34c2f8', '02f821d0a9cab154', 'dd1ebbbc32276ec6', '7c0fd9b8cbdcdbcc', '6c57ac55cbade318', 'db2911d71cd2d389', '564f2112de1a31e6', 'd78b7ca1fc737e45', '6ede7a3926290779', '9e950a8db19553b9', 'bff0f6c000bc59f3', '0a9c1e3eea8d9bf3', 'a7ca92dd37c63508', '11d360f2e93335ed', 'd14fbadb2e27da35', 'c6abddb9dcb3e5af']; context = [[7, 67], [92, 167], [37, 83], [63, 129], [3, 48], [76, 129], [61, 135], [4, 67], [2, 48], [56, 118], [23, 84], [4, 60], [25, 83], [16, 106], [137, 201], [127, 216]]; loss = 0.013258 low_pass_filter = 0.300
+Epoch 0: | | 38559/? [6:44:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 38560; scene = ['6b8ac78e56a79da5', 'd910d05a6cd0ffe8', 'b54a253c34d3abc5', '357c89f4ad959174', '5df49d0775250a66', '7ab4cf76097be8d4', '215185a803534ca3', 'e3d91a909a078c6c', '2c530bc6a41e5488', 'a11541e3f9ebccd5', 'a3427e7e23a23b2f', 'c9e55a597e009625', '83638041d9f72afe', '9bc173c816b90dad', '37e479a89290ae52', 'f1c1bb1ee6d4c97d']; context = [[26, 110], [10, 61], [138, 202], [199, 266], [112, 171], [19, 82], [186, 261], [52, 112], [50, 126], [45, 106], [9, 79], [103, 183], [101, 173], [3, 57], [30, 114], [0, 49]]; loss = 0.013914 low_pass_filter = 0.300
+Epoch 0: | | 38569/? [6:44:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 38570; scene = ['e76eee95e9e5747f', '7445118d42f7ce3c', '3f13ac8d5f0db195', '41b957835a1e5631', '9761d07ca7f2a0fc', 'fea172f3d8b10e02', '9d5e2fabbfaf74ef', '6e884ff6d57a3364', '4057f16695021b25', 'ed75866ec9a40107', 'ed9dd8ce473cc52e', '4e1b882813955e5e', '7c755dcf47ee6647', 'a25e9cea544647b3', 'a5973d629374223d', '5dba123f9090725d']; context = [[1, 58], [29, 75], [17, 92], [42, 87], [84, 159], [212, 262], [38, 128], [15, 103], [134, 205], [73, 154], [1, 79], [42, 113], [29, 118], [8, 69], [31, 113], [0, 64]]; loss = 0.014444 low_pass_filter = 0.300
+Epoch 0: | | 38579/? [6:44:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 38580; scene = ['d35b7c2c52c45a54', '4b3e117d4f50b167', 'df4e1717577f82c1', '4ad8aa55f3b300e2', '42c7147c591f47cb', '6792d6a4f4e87e24', 'b05e5158361732c9', 'cfec50872cec53bc', '6a4fe529a00082f2', '2d417198a5ebd20e', '6a6beb90616e4f37', '56c92457c51952ec', '5d167006936398f2', 'ecc15d661d8dbe9f', '5f22fdf235746488', '06f60580eba61d9d']; context = [[31, 84], [12, 66], [0, 72], [2, 53], [11, 76], [16, 96], [76, 156], [9, 58], [138, 217], [4, 88], [106, 151], [3, 82], [2, 60], [100, 181], [22, 69], [6, 85]]; loss = 0.015343 low_pass_filter = 0.300
+Epoch 0: | | 38589/? [6:44:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 38590; scene = ['3c3f55a532fe87be', '1a328dfc961fb5df', 'af56b0f58fe563a0', 'f1d16856f63c5c0e', 'd173fad8e92ec1e5', 'b7272c56b2582114', '34f4150ce050da75', '866e1164e81a9d4c', 'b1efa62d2742528b', 'adc2ce1eb277afc0', 'bf8aa06772079ba3', '9f0755d7d6eaed42', '4925526b9cdca49e', 'e47b1481f6e461de', 'fd4ae59a18bdbbc8', '4ce4f59bf1d11122']; context = [[15, 92], [13, 59], [0, 74], [5, 76], [0, 76], [11, 66], [3, 61], [13, 97], [7, 69], [45, 122], [34, 81], [188, 238], [38, 86], [110, 163], [10, 64], [91, 151]]; loss = 0.012185 low_pass_filter = 0.300
+Epoch 0: | | 38599/? [6:44:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 38600; scene = ['6c6ece22d9698576', '8e2b577a4d6b1822', '8082a192705e95d8', '5ec2c030733df55f', '54b1ebea145fd3f2', 'ec6d1d72cc597748', 'e92f8f5e757411f7', 'b1e1ac8422057bbe', 'be00c86bccdd18c2', '61ac3dfca0ca06df', 'b13da9a943f94e03', '02873a084fca3e53', '4d54607d84367b0b', 'f8c3a09cbaf34127', 'd8585b03b4c5b2f4', 'f4f0941cef315ecd']; context = [[2, 60], [71, 130], [12, 86], [1, 60], [7, 63], [5, 74], [16, 92], [11, 85], [33, 97], [11, 64], [7, 73], [60, 111], [5, 89], [9, 60], [32, 117], [23, 73]]; loss = 0.017851 low_pass_filter = 0.300
+Epoch 0: | | 38609/? [6:44:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 38610; scene = ['19dd090934e0898b', 'f66bd7a84be8e9e9', 'e89e89e57c1eeb38', '4918b383ff07b3e9', 'bdee4bfbfd066586', '47c64eca0657a0aa', 'b67f55fde1a5f63a', 'd35ce9fc6e18306b', '5d61451abfed6bf2', '8a6cc15410a098e9', '55146ffd1ce3f42c', 'c4c08f5a80d78035', 'da12d84000cf57c4', '8d430fbd83204467', 'f5cba4d58236ef6a', 'ff9e9b8f3c6b65c8']; context = [[11, 92], [1, 54], [1, 72], [106, 178], [124, 188], [5, 75], [19, 106], [6, 51], [1, 65], [27, 78], [10, 74], [10, 73], [1, 61], [0, 77], [10, 83], [34, 104]]; loss = 0.013054 low_pass_filter = 0.300
+Epoch 0: | | 38619/? [6:45:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 38620; scene = ['3ec62fd89dfa182d', 'ef5524c633cc7663', 'a288aa4201b54228', '22e2907594eb8988', '2dc12db33c77f91e', '33ec839775a753d8', 'f5fd4c9ccb08fa6e', 'b5ad207c172544b4', '95368421263dab32', 'c05986fca7a09265', '91b147adad2393bb', '6539a1c57c640f9c', '92cf14163fe6b2ba', '6e2a3910091fd84f', '0a1c6a4cd53b9fff', '45f1e692a489735e']; context = [[6, 57], [21, 75], [18, 105], [213, 276], [1, 59], [1, 78], [47, 105], [39, 114], [58, 145], [20, 89], [0, 88], [129, 190], [20, 72], [92, 139], [31, 107], [52, 135]]; loss = 0.012616 low_pass_filter = 0.300
+Epoch 0: | | 38629/? [6:45:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 38630; scene = ['3384da6d323c1626', '56aef3223d56ced9', '205114c55ab17127', '4227c1d0a1dd9baa', '59d325df680f395a', '34d0a2873fd57f89', '6f33727dde219eeb', 'a401eb9a7a7f6cf8', '2a11d187ac4d948b', 'aa0ff918b038d91e', 'fbe238eba1203b36', '6892b104de38e4be', '3050eeed73b3f05e', '8174562e1424c6c9', '53d4a63245e810d5', 'd83f2d1ffd5fd125']; context = [[7, 71], [161, 219], [90, 177], [24, 112], [14, 86], [1, 84], [32, 79], [65, 115], [15, 102], [39, 115], [0, 64], [11, 80], [31, 110], [21, 96], [49, 121], [7, 74]]; loss = 0.011624 low_pass_filter = 0.300
+Epoch 0: | | 38639/? [6:45:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=27.20, train/active_min_children_step=1.0train step 38640; scene = ['436e6d7fb59aa0f3', '7c66260a2a16b5e0', '8e12adaf19e58a53', 'b3698fba681b1429', '502b31ec4023c337', 'e423c2db23c80588', '6013f0d8dc76e441', '77994f2a243e4c9f', 'ba570f646fc389ac', 'dbb08ee9016eb60c', 'cd3b47d22b0bb827', 'b4aaa00674c63884', '24d90f30c52e7229', 'b7d6204f7458d4d6', '3ebc0b128dc82a32', '402b81bf14d1de68']; context = [[181, 254], [124, 197], [41, 99], [56, 109], [131, 180], [2, 83], [63, 114], [78, 151], [5, 65], [194, 267], [10, 93], [7, 62], [3, 72], [14, 80], [85, 142], [0, 71]]; loss = 0.013492 low_pass_filter = 0.300
+Epoch 0: | | 38649/? [6:45:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 38650; scene = ['eb382c47fa4f8f39', '432327acc89cdfb8', 'd2b1e757b2e26c24', '54651945835f23c0', '37c9f8c6a4114474', '97815539c42cea51', '4329969a7cf2df54', 'dbaaa42c678599b5', 'ced9eaec2af72a37', '709fc2c17b0ea274', '72d7818d7a5c6929', '16cc1cb2fcc391c8', '83aa60aa33391cdd', '9581c4e12f850b42', '8c68730fd50900ac', 'ceed1e10887c0225']; context = [[37, 120], [6, 69], [25, 98], [1, 66], [20, 103], [44, 128], [29, 111], [7, 67], [15, 90], [24, 98], [0, 72], [1, 70], [6, 79], [8, 77], [35, 103], [42, 122]]; loss = 0.013936 low_pass_filter = 0.300
+Epoch 0: | | 38659/? [6:45:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 38660; scene = ['8e2f111529c70806', '1ecdbf071c9efedf', '644edb7b339e7204', 'f0542cd2d21f3359', 'a11168f2dbc672f5', '2ea9a7e763491324', '8088dba438e87a09', '9d74a520fb1eb89c', '2b4332a5bbbc50d4', '219070c8f28a0fe3', '7982c04ab0f83614', 'd3d56c592a69253c', '4a2bd9d10797e87f', '71af1e40d14233f2', '74cf8d7236ba20a3', '9cbbbe528c9bc4cc']; context = [[3, 48], [65, 153], [6, 81], [60, 143], [9, 56], [47, 102], [204, 258], [55, 135], [11, 77], [20, 83], [71, 130], [95, 180], [66, 137], [3, 64], [38, 86], [1, 73]]; loss = 0.015892 low_pass_filter = 0.300
+Epoch 0: | | 38669/? [6:45:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 38670; scene = ['e7d44d4090d04fdf', '55a5e674fe071287', '8809f54c9198fc91', 'ad88a6a2918af1b5', '97eb86d76d10ff2d', '7401e5b16bf66d1c', 'b0831b553c2363e1', '1590a87dc2447f1d', 'a9da01afd674bd99', 'c13076a68aeeb481', '985af15298bdcea5', '1fc574d993b4ec04', 'abcb5c2256d21be9', 'f5050ba38fb8123e', '6ae9d28f3c48c184', 'de26d1bcfb0eaf21']; context = [[5, 60], [0, 75], [43, 105], [29, 76], [60, 137], [6, 70], [55, 118], [206, 251], [77, 156], [6, 62], [112, 176], [38, 125], [17, 90], [0, 45], [1, 64], [5, 56]]; loss = 0.013150 low_pass_filter = 0.300
+Epoch 0: | | 38679/? [6:45:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 38680; scene = ['8a4b619c1e948fe6', '3366ad5416280502', '5e04e63ba395b833', '91ab91ca89e319a1', '49b4d776ef1172e5', '222307f0de237e9a', '94b9a93004f86b54', '4bc6406d8cd174dc', '3488c217a07fd3a0', '5d80dc463d9b37c4', '5df7fb86d276c3e4', 'c4a661b87bafd966', 'f339009a2e1e63aa', '78b33905f02eff69', '99b2c348478c7dc7', 'f3bad8dfa6cc4bb2']; context = [[45, 124], [164, 218], [5, 89], [78, 144], [7, 65], [9, 68], [176, 223], [2, 70], [38, 91], [19, 79], [58, 117], [2, 53], [21, 70], [51, 131], [51, 141], [35, 87]]; loss = 0.012829 low_pass_filter = 0.300
+Epoch 0: | | 38689/? [6:45:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 38690; scene = ['7c6cff8643a2c250', 'e8d604150ae0360d', '5b42aadc59b3f4f3', '25be53ace2fc19a9', '3788c6c82dcb0db2', '42a8e3c55088a4dc', 'e05be237357b2b8b', '88d97afc8d56bcec', '6bbf7a220517735e', '9acfad92971ff3f2', '30afa4f4c8f72dd5', '57ac6eb5ba79e061', 'c69595acf57d15b3', '742b3562c7150ed5', 'ebc656d976991be7', '4ae9274ddd246c72']; context = [[0, 83], [5, 52], [48, 106], [1, 50], [10, 63], [106, 182], [225, 274], [115, 173], [15, 67], [11, 84], [16, 83], [7, 70], [71, 126], [68, 134], [11, 93], [0, 75]]; loss = 0.013074 low_pass_filter = 0.300
+Epoch 0: | | 38699/? [6:45:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 38700; scene = ['022c8b3bf09953d5', '175a499efb67c13c', '0947cd60364c7a00', 'bf06a2187ba5ee89', '7dce7662605b5320', 'fee1c997daddaf5e', '416db1671b1b6930', 'e04b4e9d1434c051', '5a1011ab86b77657', '31281a4af48068e1', 'a4890bc0e3fe95d4', '5bda0a0bdeb8fa19', 'a6f288f683117a0a', '475a69dd3165ca6a', 'bdd33fa56672326f', 'f5bffc38ce948aa0']; context = [[5, 61], [12, 101], [0, 51], [26, 82], [0, 51], [52, 109], [1, 58], [8, 53], [29, 86], [25, 76], [41, 110], [90, 154], [41, 127], [63, 110], [0, 78], [29, 84]]; loss = 0.010562 low_pass_filter = 0.300
+Epoch 0: | | 38709/? [6:45:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 38710; scene = ['17161017be67798a', '4f29af38fef0be82', 'b58aa5ec8024a283', '07876b8e602acc93', 'a54ebb2a3bb631d5', '7845363c0174cfa9', '576e05385333bdea', 'adae27b073e92904', '43c173591e7de4e9', '7648e09787b5ab2d', '87d6c736b31761f7', '01560d6cbaa0676b', '73f6ac2c4b2d44f3', '2bac81068ebb0b09', '22aaa7d6980b7c1d', 'e50e974531275016']; context = [[0, 74], [40, 101], [70, 156], [132, 191], [12, 63], [0, 50], [181, 228], [1, 61], [29, 89], [4, 69], [2, 74], [15, 71], [136, 196], [2, 65], [52, 102], [180, 253]]; loss = 0.014488 low_pass_filter = 0.300
+Epoch 0: | | 38719/? [6:46:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 38720; scene = ['32026eaf9365e7db', '8026806102c7e1b3', '2321b7480392d727', 'a04edea0474406d4', 'ea0a7e19773b74be', 'c70a7a553169a8fd', 'deb9d418b0ce32a0', 'be3bd496be287fd6', '8662fb22966944ee', '5f62f29af9166172', 'a804f685cd67ec74', '9f1540de9c1c850f', '42ec875e58adf741', '0fe4f5b23db3a679', 'eb25253ac99f8f91', 'fdd3d42a50a6123c']; context = [[86, 153], [26, 97], [4, 72], [71, 119], [34, 96], [24, 95], [2, 86], [4, 53], [10, 91], [8, 76], [1, 84], [45, 91], [53, 125], [1, 73], [63, 118], [62, 139]]; loss = 0.012836 low_pass_filter = 0.300
+Epoch 0: | | 38729/? [6:46:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 38730; scene = ['d2ef18c53da76fb5', '77b7e7bf3d9b2175', '0b0bbd0afe5bc29b', 'dfaf3304cdbcd373', '333fb8670f845806', '6ee450254bf13d30', 'a4637c1311493132', '04381742d93a7c12', 'f2b8d3860db5c717', '0c00bb62709455d6', '661ad131e26fda1c', '42cf9da60c1617b4', '047defc149d614f4', '9ead7ffee2fa08c2', 'ae3ea89bf5bc9cba', '4890257c4f5bb09d']; context = [[21, 102], [74, 148], [201, 264], [136, 206], [53, 99], [0, 68], [215, 271], [4, 53], [58, 133], [29, 107], [0, 53], [0, 87], [2, 55], [0, 58], [26, 76], [0, 49]]; loss = 0.011181 low_pass_filter = 0.300
+Epoch 0: | | 38739/? [6:46:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 38740; scene = ['d3b11ecdf9a56141', '201d18b1270f0735', 'b970b42934acae8e', '62ddc851fe442dad', 'c95083212b45d874', '131c283d01e223c0', '9a9caef7e7a630f4', 'ddbdf4c03a9937a0', '2a9557597018582a', '4e62f7daab29193e', '1f1ecb7b9e31304b', '482b28b373ba3c27', '48b60cb4f6652655', '870427fbf621cb0e', '976f694a50452c78', '9363a558aa68d23f']; context = [[34, 104], [19, 81], [26, 103], [4, 50], [20, 74], [9, 59], [17, 100], [1, 86], [41, 108], [24, 80], [168, 249], [38, 100], [34, 109], [78, 128], [55, 121], [6, 66]]; loss = 0.010989 low_pass_filter = 0.300
+Epoch 0: | | 38749/? [6:46:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 38750; scene = ['b15970d9ceb87188', 'a3701983c812bd1a', 'cecb4f7e9d017104', 'd269eebf84aefd4d', 'eeb862802412ab03', '5c3bb18e78698989', '993cf79b2a2312ec', '6c9bceffa427a354', 'a44f6d4d66d81f20', '364aa2dfbd59b2e4', 'b211dbab7ed11c64', '5670b72ad22f4e1f', '279c5a341400adc7', '6b5a51c67c4657b9', '6b49cec2207fb397', '0e430efe14f4b9e0']; context = [[18, 64], [8, 81], [21, 86], [44, 98], [174, 230], [12, 61], [5, 51], [196, 247], [35, 124], [0, 47], [10, 91], [30, 106], [7, 94], [78, 146], [30, 114], [22, 80]]; loss = 0.014790 low_pass_filter = 0.300
+Epoch 0: | | 38759/? [6:46:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 38760; scene = ['1cec8f858934dbcf', '8cf28ca6dc386dd5', '736cfa3ae81bbe5c', 'c807da7dac2e7927', '87fd521518dc4cb6', '657ed7177ce06af7', '85df3336ad90d5f3', '2df2d7c7a4f05e97', '952c38e1433be492', '29d4c936815664ab', '8e1ad51b592ca929', '57a37f6c17fb53bb', '38147dfcaf667f6b', 'e60298a9c1439103', 'c660e0ba4f885ed8', 'dd5b07d83d0693a4']; context = [[27, 72], [18, 79], [2, 90], [124, 199], [37, 114], [3, 70], [45, 133], [13, 72], [128, 193], [12, 93], [54, 111], [32, 93], [55, 130], [38, 86], [130, 181], [11, 66]]; loss = 0.012540 low_pass_filter = 0.300
+Epoch 0: | | 38769/? [6:46:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 38770; scene = ['78301054a4e470d3', '7bc459cf2cd73e6a', '4f0e7c5b39da1ff1', '2df3d9757cc88582', 'c9cc84f82b5182d9', 'fb2b05793115d09f', 'ec15da6be3f66c37', 'f1970010dd9e1e01', '37d9966442c8f4a2', '29a5e76da0fe508e', 'e71dfa0818466743', '3de36eca0531b5e5', '77cc81b0c5730be0', '92a71ca61a77d2d6', '63451a162b7a6589', '369ef2ae4cb58ae5']; context = [[61, 135], [9, 69], [116, 188], [0, 45], [77, 155], [31, 85], [25, 71], [8, 87], [166, 229], [3, 48], [1, 77], [50, 123], [0, 80], [36, 100], [0, 51], [204, 263]]; loss = 0.013088 low_pass_filter = 0.300
+Epoch 0: | | 38779/? [6:46:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 38780; scene = ['39edfd183c4f5b5b', '9a3f0345a9b17648', 'cc603826edc4a0f3', '0fc0b5d0e0a39458', 'a8fff68fe7aa2307', 'a33d9028e55e03dd', '10ee3c037e33a6fd', '8a6b961143f88abf', '155980a1ca9485b5', '13172460199656f2', '6ac0b7a065316488', '0300cd5401bf8e40', '01fc2fb2166ab555', '811c49057d630ccf', 'd9b5a428cdcd8444', 'cd01086715b73e3f']; context = [[89, 146], [0, 50], [116, 204], [1, 49], [1, 88], [92, 179], [7, 53], [25, 104], [5, 68], [30, 120], [8, 71], [121, 197], [1, 70], [4, 50], [4, 70], [2, 60]]; loss = 0.014914 low_pass_filter = 0.300
+Epoch 0: | | 38789/? [6:46:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 38790; scene = ['062f247f28a18c88', 'd41080892de5082d', 'cc630b6a939ad1f2', 'ed3b85d5eac7be21', '0749505ed5eb06e1', '4e726c834344b1fa', '63a7a59215cec24d', '14aa155881aa04a4', '33bde5a1119d0e83', 'd7fd1af71b563b96', '88f267c298030fed', '015f5a7965860c29', '5b0555ba3a6709bc', '2a9baa599c00613f', '12e0d4265e7789b4', '6789b17ebe4606cd']; context = [[0, 46], [2, 88], [148, 223], [45, 109], [8, 62], [19, 102], [27, 111], [20, 105], [4, 57], [25, 111], [112, 196], [79, 143], [158, 230], [121, 171], [19, 98], [164, 233]]; loss = 0.018652 low_pass_filter = 0.300
+Epoch 0: | | 38799/? [6:46:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 38800; scene = ['3225396f04fefe7d', 'b7192f22eaad3ddf', '9c0bb7fc34abd94e', 'c5b9d0e39a756324', '2bb10d929829eb3c', '13d8c2b7b1067355', '234951bcea9de45a', '438a753f3bd98e78', '520c173c48bb5486', '3b097d4284de0944', '3716c7bca2c8f6d7', '4b3716dd9a1e8697', 'b84f35929987c24a', '091ac44349ed62c9', 'f482b913fe53bbda', '47146f0da6e6c32a']; context = [[4, 78], [0, 82], [11, 58], [106, 177], [0, 73], [100, 174], [7, 54], [16, 98], [1, 50], [13, 59], [25, 71], [6, 69], [37, 104], [92, 177], [35, 91], [95, 151]]; loss = 0.012278 low_pass_filter = 0.300
+Epoch 0: | | 38809/? [6:47:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 38810; scene = ['1aef6f4ef6ceb889', 'ed4aaf769183d739', '4e3f03d8eb84477a', '2c4fcf937e2b85b8', '77530dbf37d42b74', '309d451b7ba0da15', 'f06946fe6849a5a2', 'b9521d71504efda5', '6ef9c4fad687cb3d', 'd01a94b42a502c3d', '00f785f232952963', '8214bac63893f32b', 'c7b571bbd2dbf81c', 'f08afff6a1ca5fd4', '304b457e50fb1b7f', '2a69d7ace9e8fbbd']; context = [[3, 48], [27, 73], [7, 53], [3, 56], [112, 162], [46, 101], [20, 77], [12, 82], [4, 75], [77, 135], [46, 116], [6, 59], [18, 97], [0, 47], [41, 131], [82, 136]]; loss = 0.015703 low_pass_filter = 0.300
+Epoch 0: | | 38819/? [6:47:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 38820; scene = ['9cc6a832ffde1cbb', '3cca5bd6f63c23a5', '8873bcfd1917c8ea', '8956940f736559e9', 'b544cb6ee5baf553', '32b2e26cca9189d1', '687eb7dba064026c', '2f62fdeadc036a3d', '5f94acef4e9e71b9', 'd466e30d0a3e0072', 'fe35152fdacbc8ed', '36cf199e21b7e3b0', '01ad601c85aae56d', 'c49990e5b975a6f4', '7820e14afd7e6c70', '2ecf714d6adeb367']; context = [[11, 73], [14, 69], [3, 67], [10, 94], [86, 137], [17, 87], [3, 87], [47, 127], [8, 58], [26, 90], [1, 79], [25, 83], [108, 173], [49, 129], [121, 202], [135, 202]]; loss = 0.012728 low_pass_filter = 0.300
+Epoch 0: | | 38829/? [6:47:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 38830; scene = ['01560d6cbaa0676b', '22aaa7d6980b7c1d', '19d3d89506b5895b', 'fb5f6ef461418097', 'e50e974531275016', '7648e09787b5ab2d', '25b3eb02b0915107', 'adae27b073e92904', 'b6c73d19af4566f7', '9694d2d9cf59b028', 'da45e78b9132a88f', 'ea5a0447e990f968', 'b2a5a5d457aac9e0', 'd49e41d133d0b08a', '69f987c60219384f', '051f0ec01ada8a1c']; context = [[1, 72], [4, 86], [10, 56], [36, 112], [27, 73], [3, 70], [57, 125], [7, 56], [4, 49], [13, 72], [14, 78], [2, 70], [149, 238], [4, 51], [4, 61], [2, 50]]; loss = 0.013872 low_pass_filter = 0.300
+Epoch 0: | | 38839/? [6:47:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 38840; scene = ['198406e64d55f09a', 'a4d6ac11bc4bba53', '2f22f181ab108025', 'd70e9de316c5e3b9', 'c71d2cc1a287c8d6', '3337fdba3368e929', '07774c8af5006792', 'e6e9c2fe9e4cda1e', '987b8559b4128b69', '3fd808da847a2635', '697fe60d10463f34', 'cebc5f28d2435e95', '1401f851d97feab3', '2d829feafff5ecc3', '889b6ed85a8d2fef', 'd8ad18263ab12197']; context = [[2, 68], [12, 99], [157, 210], [130, 185], [27, 92], [80, 156], [53, 114], [59, 104], [23, 69], [3, 56], [49, 123], [108, 163], [103, 167], [36, 85], [136, 191], [97, 144]]; loss = 0.013593 low_pass_filter = 0.300
+Epoch 0: | | 38849/? [6:47:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 38850; scene = ['6984917885b4951e', '50e144dd2a1cbfa8', '73b60097c7485165', '607eede38bbe564b', '986540962d8f80a6', '96b0f3e7562b891e', '35f41e622d274260', 'df02062f22ce3542', '885dcd6c9641079c', '0dcb0cad41a1f81b', '230b85cf6cccf2e0', '92edfb92210ccd71', '8affd428b7e77951', '7a1eb4a3625462dc', '3670e4d9d26e7534', '964a843d6b1eae95']; context = [[0, 81], [21, 103], [80, 148], [36, 121], [18, 104], [5, 53], [7, 81], [32, 114], [164, 231], [3, 62], [29, 79], [4, 70], [61, 142], [137, 187], [2, 60], [23, 89]]; loss = 0.014879 low_pass_filter = 0.300
+Epoch 0: | | 38859/? [6:47:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 38860; scene = ['a152a4b1f19f25ed', '71a67ae4eccba383', 'dda98b150531b29e', 'cb68843a409bae9d', 'bc67341c31098cca', '9460fa349c6938ee', 'd7ee313c9b549e39', 'bf563dea667a926b', '35a9ae304403b303', 'fd81e1b584ba9dd2', '2f8dc070e74f3d39', 'f1a22db30ad8224f', '7332844fad895fdd', 'a4721eb32195ea7f', 'ed6dde4ef3037b45', '7995a0863f61caba']; context = [[49, 118], [29, 77], [12, 85], [4, 77], [7, 60], [95, 141], [39, 100], [9, 72], [0, 78], [8, 55], [2, 50], [2, 61], [87, 159], [14, 83], [26, 95], [123, 183]]; loss = 0.014795 low_pass_filter = 0.300
+Epoch 0: | | 38869/? [6:47:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 38870; scene = ['f2fd8742f673fa6a', 'ec5815c2f8d05f81', '82125c3653da9f1b', 'a18e4f50b39db23f', '991621933aad3eaf', '4321e85d908b117d', '32c0a57c089dfffb', '4c6ca52094c027d7', '81a3f8a8ce79a059', 'f024a38fc8e4ec74', 'b1b8e8c88721bafc', 'e9409f501f1b6346', '40da14eba717a7c9', 'ed8272185c1ac2e0', '64fa28b2416a6a38', 'c4005922f59686ae']; context = [[5, 89], [3, 60], [4, 65], [77, 137], [13, 95], [10, 87], [15, 73], [56, 136], [13, 59], [6, 53], [47, 116], [63, 152], [172, 254], [62, 129], [10, 75], [0, 71]]; loss = 0.014717 low_pass_filter = 0.300
+Epoch 0: | | 38879/? [6:47:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 38880; scene = ['aa49ea66403b050f', 'f0672b503ee9dd83', 'd3451a948ab6ae52', 'eaf70d3fdf4a4cb6', '581f0c393cc14adf', '5dc2cecdba20b532', 'b06e61a7be8c80e4', 'b1678aa5fe9e89ca', '59f14fd999b7a247', '9781f678199c8c4a', '6ef5ea60516dc2bf', '9a308213ce2ba663', 'e43a51c4bbdbca0a', 'f70bb4d0420a0db8', 'bb3ea257b38259a4', 'f10782ce78501840']; context = [[14, 74], [44, 129], [39, 114], [116, 173], [1, 68], [176, 229], [63, 108], [5, 87], [0, 48], [1, 58], [12, 76], [40, 91], [17, 74], [21, 92], [1, 47], [118, 170]]; loss = 0.014981 low_pass_filter = 0.300
+Epoch 0: | | 38889/? [6:47:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 38890; scene = ['c4e12df63403eadf', 'aa5f0f9be3bd3b2a', 'd0e2b5d6dcaeff7c', '4c40c57cb20e6920', '41b9c051d5df7dc0', 'b5d0e2112b26d659', 'b0fea728bc83b595', '2de9e39deb77c039', '3c99b5451264d6aa', 'd8abb08d528ae88f', '7e298b879dc6b10d', '3e3ee1f9aa5e1c5a', '58da510f517858b6', 'c172fefa8dfaec4a', 'cbc2831917a97cb8', '4d9a7d247630db3d']; context = [[89, 138], [9, 90], [40, 108], [0, 46], [13, 63], [90, 161], [42, 91], [0, 81], [0, 57], [3, 79], [58, 120], [89, 134], [80, 155], [48, 123], [163, 247], [30, 79]]; loss = 0.012994 low_pass_filter = 0.300
+Epoch 0: | | 38899/? [6:47:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 38900; scene = ['61f2b4f0fbdfdc56', '1cc1f0e0dfd6912c', 'de64ddc3dac67b2e', 'f9879c1f6508cea5', 'a1765a6e321bd6e1', '3c916ce0b7d20d60', '925bb132693b2e06', 'fc8a487df5aae714', 'e23218543b09f6c4', 'a0f58ed84db144cd', 'eda299b8ec5d56ff', 'bf37ac6cc15e90c4', '5a040cbc8d351ff7', 'd729044c166a455f', '2b83ce9b23c5ab7d', 'afc970648a89e04a']; context = [[20, 72], [59, 143], [3, 83], [9, 70], [5, 76], [8, 59], [147, 221], [23, 107], [5, 94], [1, 46], [96, 166], [44, 99], [71, 126], [55, 109], [2, 48], [91, 140]]; loss = 0.010301 low_pass_filter = 0.300
+Epoch 0: | | 38909/? [6:48:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 38910; scene = ['dbc41a695dbf3200', '823335d40dc7bc7d', '6374f77a0a86bfdb', '0817fdf3c4ef8c48', 'ab9608b28903f6c9', '78f8199d3e95039f', '2248f7eaf18cca06', 'c7ae900f7a5628a3', 'e9336696bf815c70', 'b0cc0c14cc59c0db', 'dc0cac2190275855', 'd97362a1ef47bca6', 'd4bf30aa4a3d6fd6', 'bbe93893e3734a99', '4a7db356a3dc0803', '3feced7708ece4f7']; context = [[33, 80], [4, 88], [2, 60], [36, 115], [32, 104], [39, 117], [51, 103], [41, 93], [56, 146], [6, 54], [109, 154], [12, 78], [23, 75], [0, 61], [76, 135], [0, 76]]; loss = 0.014858 low_pass_filter = 0.300
+Epoch 0: | | 38919/? [6:48:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 38920; scene = ['b69c9212fed0dbb7', 'b7abfcf85c78a026', '2c954aa634c62bca', '8acade3dfc4c5c2f', '563a22d6074fdf24', '546252fa9fce9180', '64fe48431956f5a4', '03203af97d6cf03e', '34a0b518cf481390', '7543d9df60679634', '193e4b6a051b246b', '219d6fa361e2200a', '194d3524ff721743', 'ed34fcdecf03a402', 'd5748016f2f59e88', 'ed7ec2dbda26c8e6']; context = [[40, 90], [28, 82], [4, 70], [24, 83], [3, 69], [85, 146], [46, 128], [24, 76], [7, 55], [15, 86], [46, 102], [5, 54], [42, 100], [5, 54], [38, 97], [32, 80]]; loss = 0.012293 low_pass_filter = 0.300
+Epoch 0: | | 38929/? [6:48:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 38930; scene = ['91ae7aa8ffd1cea6', '257e2910b28b2b2b', 'd9590036ff6fd866', 'fdb1ddd7b6d42b1c', 'c3e3a7ba5d9219ee', 'd75c6d4a9b90264e', '18152facf0d07c56', '81ee268730f0cfd4', '8c7200b306fdf9e1', 'd42efb39cd972a19', 'fffbc37fba7b5ec8', 'b6c5b3da50a68e93', 'ae8aa7a3529bd60c', 'f49e05ae93f16a10', '0ab56001fc8803c2', '3d21e749686e5754']; context = [[114, 194], [13, 60], [2, 70], [161, 214], [0, 52], [9, 56], [9, 98], [19, 65], [5, 54], [0, 58], [14, 82], [82, 127], [74, 139], [196, 250], [202, 274], [3, 70]]; loss = 0.012796 low_pass_filter = 0.300
+Epoch 0: | | 38939/? [6:48:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 38940; scene = ['b0b8d4c9ced5ad4c', '8ff3b15727d6fa7f', 'dddfc77781886a81', 'e52f052d044d211d', '24e9073a5b74814c', 'ed1510746de8198f', '25f8fa5f70fc3819', '2178a852fea5c59c', 'dec153e8b722d2b3', '31ee350c3a69061c', '9672bf2513953ed0', '6f37d76aa601bf66', '75371003a36624c8', '0c624be452931981', '8e5d094c4fcd3c3a', '23929cb345635451']; context = [[1, 84], [36, 118], [7, 70], [37, 96], [32, 106], [155, 210], [67, 150], [16, 74], [0, 79], [1, 51], [24, 112], [119, 184], [116, 192], [12, 66], [61, 128], [3, 58]]; loss = 0.014355 low_pass_filter = 0.300
+Epoch 0: | | 38949/? [6:48:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 38950; scene = ['b29b94e273ee6553', '916ba32c24c8014f', '9fb3173ad654a32f', '3370b1a40953d7ca', 'd8f23d503b820e53', '02a840608387c7e1', 'b4049b5f74fe2c1a', '7c3c345404cd29ee', '9a8fd1d3cf706b89', 'b3ccb1e1003fcb6d', '7c6a8caf90ddc0fc', 'a5f3bc6da5870232', 'a421fa44be30ccf8', '57112bf6cf251fe1', '6f8b2d73ed0da2f1', 'faf8b5d86e8b83de']; context = [[1, 85], [21, 74], [71, 121], [29, 118], [11, 85], [2, 51], [35, 94], [6, 91], [8, 98], [11, 64], [0, 70], [67, 126], [14, 72], [3, 58], [53, 137], [83, 170]]; loss = 0.024039 low_pass_filter = 0.300
+Epoch 0: | | 38959/? [6:48:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 38960; scene = ['13cbdf0bfe2b9791', '9d4dc226fb3612d3', '810d97e97e862d02', '8bc0f7f6b2dd43ad', '3106bc7a6c027f07', 'e154da90fb5e072e', 'f2dfbbcbe2f3ccd5', 'f030216648778de8', 'b3e2ed69a99b2d7c', 'b9086d2cecefe07d', '93aaaa30360ae75b', 'fc6b484968a872c5', 'b8af5b1dafdf212f', '3f0cc5e7b0d45c74', 'b698fa440448d445', '76a7e3baa458cb1c']; context = [[1, 80], [12, 79], [29, 80], [28, 75], [55, 138], [99, 184], [3, 65], [2, 68], [16, 67], [18, 77], [15, 85], [52, 109], [135, 222], [59, 137], [189, 257], [6, 88]]; loss = 0.013980 low_pass_filter = 0.300
+Epoch 0: | | 38969/? [6:48:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.70, train/active_min_children_step=1.0train step 38970; scene = ['b103d14945581f29', '01451c8336b62856', '70ebcfb771660089', '4ec04c03350c62ec', '202ab5c80b5334fe', '198f5cee4b98941d', '7b62b028e8f75575', '1bef9b273d9fe7e8', 'e6970f769cab81f2', 'f6cacfdf9c5c4ccd', '29cbd3d1ea610876', '8edc47d4d783fca2', '7d7aadd0fb7e9516', 'ab5aadbe6d834fcd', 'e572cbd7129940af', 'd81177196427a1d8']; context = [[48, 103], [13, 82], [53, 109], [2, 54], [7, 63], [4, 55], [101, 159], [64, 151], [3, 60], [90, 138], [0, 55], [2, 58], [18, 65], [191, 243], [46, 128], [7, 65]]; loss = 0.013529 low_pass_filter = 0.300
+Epoch 0: | | 38979/? [6:48:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 38980; scene = ['9e3fccd43f45c2d2', '133b10735f5e1c03', '2e52528c924eec10', 'c7bcb6e6fb240827', '21c6f59110072ea4', '43739f82f554c901', 'b090e2aca65c679a', '1a50a5e0096742c3', 'b894adf6610ec8a6', '64f07750a0acd912', '939847209cf6cfa9', 'fae93ceeaaf99328', 'd92a6ababd47f047', '121e5c07f2b87ec8', '2c70a962096d773a', '70715befaeea6c30']; context = [[80, 126], [0, 61], [0, 52], [10, 56], [96, 163], [21, 70], [1, 73], [58, 130], [54, 115], [83, 146], [9, 66], [98, 178], [149, 205], [10, 58], [23, 81], [44, 92]]; loss = 0.014728 low_pass_filter = 0.300
+Epoch 0: | | 38989/? [6:48:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 38990; scene = ['237ba5495c4df4e5', '78d5a22b95fb68ef', 'd77aac464bf67157', 'e85deee4d4986cb5', '0bc94fa1e7e73629', 'd6dabd357b310cb0', '73610c89bdc12aa8', '15c143c646be62b8', '3a9fcbd2d098d980', '18877ce74b5084b7', '37e73ee1ead027f5', '498924a26eea2512', '239d2b9fd0f2c35f', '68683f955a0e65b9', '95a3e58d4935e819', 'abd6874099d218bd']; context = [[5, 63], [36, 88], [4, 62], [7, 85], [5, 94], [17, 79], [79, 164], [104, 186], [48, 132], [170, 233], [7, 54], [28, 97], [169, 258], [39, 102], [32, 103], [6, 62]]; loss = 0.016121 low_pass_filter = 0.300
+Epoch 0: | | 38999/? [6:48:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 39000; scene = ['c63798be59424d16', 'f324bb3c26b626a9', 'a4d680b36facda6e', '91b9589fdcd3ea5b', '53aa005c71a72d1c', 'b6ed3946deafac7e', 'aff9cabf79a539a9', '97b50b43f62f343c', '9652b745c529aa40', '8c4c2c2ef15f7e54', '6618135c649e0ac7', '9f589a27fa72f3fe', '6fd38f4a383eb920', 'bcd6a8f9e95c390d', '6a3cee5a0ca00425', '673c9f1a868c7d0b']; context = [[49, 104], [3, 67], [7, 90], [137, 199], [129, 176], [2, 90], [24, 108], [4, 89], [72, 157], [100, 176], [1, 64], [8, 65], [19, 87], [28, 79], [67, 125], [5, 65]]; loss = 0.011590 low_pass_filter = 0.300
+Epoch 0: | | 39000/? [6:49:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0validation step 39000; scene = ['a40e8321989a05f4']; context = [[60, 115]]
+Epoch 0: | | 39009/? [6:49:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 39010; scene = ['1ad931d6c87b8839', 'caf4fbfc305764d5', 'cc91369f58ce6277', 'f5fa0c438f970486', 'eece18309729d1f1', 'b30bae372ee0cb0d', '5e05a3bb4a7b2408', '9c7f566e1aa31a8b', '0be7ab3df88c9c6e', 'b73c82a030426b3c', 'b02e382c90afbda7', '90a1c5e227743bdf', 'ae5102a2fddf072b', '240037205a68904c', '36e1163e28f2bfed', 'a943ba6f8905b420']; context = [[1, 49], [30, 96], [62, 110], [136, 195], [212, 258], [25, 76], [65, 146], [66, 116], [118, 165], [42, 90], [17, 104], [45, 105], [17, 72], [46, 134], [11, 58], [4, 90]]; loss = 0.016343 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 39019/? [6:49:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 39020; scene = ['0580f898bf9de725', '7e18c24b44ceb1cd', '1dffc11384eceb52', 'feac20f20ec66366', 'a038e82a65e8eeb8', '428d081399a40b67', '5ac7e788e87c8298', '0d486851b1335c0d', '224a8415c71b12db', '0e6036743dd36760', '557c97ffa423b734', 'e495d92951639e09', '593420e12b90df94', '832975ea48dd655d', '1711f2c9119cd378', 'ff9a71b896040dcf']; context = [[1, 48], [90, 146], [156, 224], [204, 274], [113, 180], [73, 145], [97, 152], [3, 70], [1, 84], [41, 112], [16, 73], [1, 75], [16, 102], [13, 100], [3, 83], [42, 111]]; loss = 0.012319 low_pass_filter = 0.300
+Epoch 0: | | 39029/? [6:49:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 39030; scene = ['9a80121d71258b41', '210ab3c1a9d655e5', '878a9cd31f4ad9f6', 'c6246a94432e00c6', '86badfef4fc36bed', '842edd33637dfc83', '1d65caaca69e5e76', '2f542b76f2ff85c6', 'd44849401776c1e6', '9e5d4092544094ba', 'c7e7a99d5cf8cf37', 'adb7e63ede6fe47e', 'f64e0d716d146454', '710edfdf32d1e025', '615d6bfaa3a5499c', 'db2e57b7e99316f8']; context = [[25, 73], [122, 211], [85, 145], [1, 47], [6, 83], [5, 55], [9, 73], [24, 108], [2, 81], [40, 104], [9, 93], [5, 54], [6, 86], [0, 63], [23, 69], [36, 81]]; loss = 0.012537 low_pass_filter = 0.300
+Epoch 0: | | 39039/? [6:49:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 39040; scene = ['da96d2f330455022', 'a1d9d5268b9a4bc1', 'a0182c984159affd', 'c75f1772e4e25c60', '6331b95bb2f8f587', '950cad2bcc09d5ff', 'bebb100714c996bb', 'bc6e849f31caa3c4', 'e44bfee2e76cc905', '432412e05ac309ba', 'ef5ccaf64380143a', 'bee0ba753ec13d46', '61deee6e086b0b4f', '185f52423e3db8b6', '12d36eec91fc31d4', 'efd470e5b5e9ccd1']; context = [[40, 114], [9, 66], [34, 88], [143, 199], [3, 56], [1, 75], [9, 78], [0, 88], [162, 223], [12, 96], [9, 93], [12, 77], [56, 139], [19, 82], [101, 182], [0, 59]]; loss = 0.014507 low_pass_filter = 0.300
+Epoch 0: | | 39049/? [6:49:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 39050; scene = ['3f185e89d01dc9a5', '4163a3d6474b4086', '9dbc40d2811387bb', '56330f4fd90f9961', '92b172ef32af49ee', '5074e5968d462cf3', '8d2763caa6b3fb11', '1818de658a8726f3', '294272a9e933fd1e', '57dc85446fc5e73e', '6587793d3d37d760', '307c55785d4f1131', '81ca6bc8c809f255', '070de38b8e08aa51', '0c58f684b5a589e2', '55501a15e845b68f']; context = [[27, 79], [62, 109], [39, 109], [0, 55], [11, 81], [93, 140], [20, 99], [1, 69], [140, 223], [11, 81], [9, 91], [27, 89], [48, 101], [7, 52], [35, 117], [12, 80]]; loss = 0.011991 low_pass_filter = 0.300
+Epoch 0: | | 39059/? [6:49:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 39060; scene = ['2b15c8704aaa87ba', '6daed58f9f82a5ca', '1251592126203554', '69990ac966f55d33', 'e17208be486cc7a7', '0f62ec5c20682f71', 'd0c6d0c46eb130ea', '297b64e30f27b9d2', 'da0fad2070e6c0dd', 'dbac9841157230ce', '089df100b0a334ed', '093f98ee806dc5ae', '0ca6052024f0dfa9', '07569e9fa883303d', '89cab77e306665b9', 'dd32077f4f08dc69']; context = [[11, 80], [2, 77], [0, 45], [20, 80], [3, 68], [11, 67], [34, 109], [1, 65], [0, 55], [161, 243], [18, 79], [49, 100], [10, 78], [12, 95], [5, 66], [55, 111]]; loss = 0.018119 low_pass_filter = 0.300
+Epoch 0: | | 39069/? [6:49:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 39070; scene = ['8fcca8a4f0e2877c', '2c6ac0963c11ffc0', '9619375d2bef132d', '96fcc6b5f575c36a', '000e285b03f3fddf', '56ff6139546ebb82', '7569b1a23a0c670a', '5d50f4c4784991cc', 'fc964ab5439155e6', '971dd6aed961bf0e', '937b13bf6372d464', 'b4f1c364dfd74f3d', '4e24bdd6f23afefe', '4988d7e7487387ab', '0bec7887227e806b', '2f76ab02ffb68493']; context = [[3, 52], [144, 224], [33, 82], [6, 73], [5, 70], [0, 69], [4, 83], [56, 133], [2, 58], [36, 84], [3, 51], [33, 81], [0, 71], [195, 272], [3, 74], [0, 47]]; loss = 0.014026 low_pass_filter = 0.300
+Epoch 0: | | 39079/? [6:49:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 39080; scene = ['71f47ad340f36a00', '496e2618d0fb9556', 'cc0548ecda611e25', 'b9e8ae6d34748bc1', 'eafd93b5178d6b97', 'a6161601e3a76aa9', '53d5559c250a0f44', '6b618bf721772750', 'caee640343f2dc58', '8213e7f3f5d265bc', '1b4bf9a4a458e0df', 'a984a212ae86b726', '55647264885c8a65', '16cf103f5cb7dc61', '24fc3a21dd069c0c', '53ee9e513ce2bbd3']; context = [[19, 72], [51, 111], [1, 48], [2, 82], [2, 52], [93, 169], [41, 94], [48, 103], [63, 139], [77, 157], [150, 223], [53, 118], [46, 127], [9, 73], [4, 58], [15, 94]]; loss = 0.015939 low_pass_filter = 0.300
+Epoch 0: | | 39089/? [6:49:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 39090; scene = ['d29ff797dbc69ab5', '594a53a4007ff3ee', 'c10a042037a5a120', '1b38ef04f2839dd6', '8663906248d346cb', 'be885aa875712dde', 'db9bc0ff275d4fbb', 'fc5c4244dd42b9c2', '4308154957c1ef63', 'ea4fb83f87109ac9', '2950884335bd243c', 'cf784e584d2d33da', '0016d89da2d78196', '75933e11d3115802', 'ef58dba812b12ef0', '0cf7ca36e28ce263']; context = [[141, 190], [0, 70], [19, 75], [22, 82], [114, 163], [68, 117], [44, 109], [25, 92], [2, 51], [19, 96], [11, 81], [1, 54], [39, 118], [8, 69], [79, 164], [5, 61]]; loss = 0.013749 low_pass_filter = 0.300
+Epoch 0: | | 39099/? [6:50:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 39100; scene = ['a640a55439a43108', '0533d23dfb17f17b', '2da17464ef895b63', '414730ed5c31b509', '190dc10200a1049e', '513aa200a2b07a1e', 'd1ebaa99e640cd7d', '66a324d8c0a8b80c', '4198c7129a726cf5', '789a1573a8a7f5a8', '077a814db8619777', '6ae9d28f3c48c184', 'b0831b553c2363e1', '7401e5b16bf66d1c', 'f5050ba38fb8123e', '1fc574d993b4ec04']; context = [[72, 127], [27, 93], [13, 69], [127, 177], [6, 92], [10, 61], [25, 94], [14, 85], [3, 90], [98, 159], [36, 98], [0, 80], [54, 114], [9, 65], [0, 45], [65, 121]]; loss = 0.012310 low_pass_filter = 0.300
+Epoch 0: | | 39109/? [6:50:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 39110; scene = ['6f3364f094e81f66', '285eb8af8191d4d1', '7fcf8100c81fd54e', 'dc36fa3cb8bf4492', '5bb7bb3784ca3d66', '4f7e52b0cf1cec3d', 'ba2a2ce5a110fb53', 'fe3356c41851577a', 'c70b9fbae0d5fc6f', 'b4e78cc06154f93c', '62be828d9ba51471', '84556fd53fab52bd', '303a11da92faeb07', '5d24370ba26f6290', '206f207ba1fba3f9', '33db6ac69289503d']; context = [[6, 74], [13, 77], [34, 87], [85, 174], [14, 77], [2, 60], [33, 99], [16, 85], [27, 76], [2, 50], [51, 118], [42, 107], [3, 55], [4, 61], [121, 181], [93, 150]]; loss = 0.016200 low_pass_filter = 0.300
+Epoch 0: | | 39119/? [6:50:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 39120; scene = ['4102f7e202592faa', '919d9ffa7703bf0a', '8160c9bb2be20ad2', 'c890bd86e883aae9', '8e481a83f1b68949', 'f58e5c3d3880a9a7', '61064fc9a5b5884c', 'ebc3498e1546a978', '4d6bff3c16c87f54', 'b90e3f4e8e2e098f', '588fb728a8708ed8', 'd1e2177c1fc2d84b', '665db13a67f47d42', 'bf27ccdada0c2373', 'cddf88842518b9d7', '0f311ab7b651393d']; context = [[8, 66], [1, 69], [2, 54], [23, 78], [15, 104], [17, 106], [23, 75], [41, 93], [1, 47], [4, 80], [52, 120], [55, 123], [17, 83], [1, 90], [74, 141], [108, 182]]; loss = 0.014563 low_pass_filter = 0.300
+Epoch 0: | | 39129/? [6:50:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 39130; scene = ['3dd46bd829fa026f', '0a3d021eb578ea38', '7686c96acba0fd1d', 'e051ee18fd66cd1b', 'b6c09e68122ca0ed', '8e60a3c602d2470f', '7c9b792d56888acd', 'd93dbd6c7758a61c', '07eae4841b2c900b', '86f9daf0ed9c7901', 'cd7a7f57c55038b9', '66955f2887af5a9f', '4353a602b8632521', '20cb4e811caa397c', '2b02c5424369025d', '00ac578dde876be6']; context = [[23, 87], [34, 96], [11, 65], [0, 82], [18, 73], [18, 99], [80, 131], [13, 87], [0, 83], [13, 62], [27, 76], [0, 70], [23, 69], [0, 52], [10, 77], [14, 80]]; loss = 0.016480 low_pass_filter = 0.300
+Epoch 0: | | 39139/? [6:50:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 39140; scene = ['aa8773d8105e6be2', '8050b71974f850f6', '3a57a0567bc87e47', '38d6a96206f7e229', '4263e8ea79e1dc7c', 'fd01cd966a406b10', '1e6fb6563254c02d', '4b14f20efddf8a75', '6b4e165700878c6a', '75a614e20d102201', 'f029bf7237a8d92b', '6574e14e9734712c', 'a52ee89267dfab70', 'afb01e1fb64e03e3', 'c602cd2b0e690860', '89881c5590c6fb13']; context = [[23, 76], [1, 63], [15, 83], [45, 98], [19, 69], [0, 52], [14, 73], [101, 176], [1, 78], [168, 246], [3, 76], [105, 169], [0, 46], [13, 97], [11, 62], [20, 96]]; loss = 0.014073 low_pass_filter = 0.300
+Epoch 0: | | 39149/? [6:50:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 39150; scene = ['9ffafe5ae44cb7e6', '7145f0cd808fb217', '275f7bcab3604f2a', '3613fe0e8890ef26', '6a1ef1f0ddb90525', '39ef35a4a47926da', 'b1d41b0a47dc80f1', '82b3cd7d732bb3a1', 'ec8b485c95a10ee8', '556ce3a3902f4695', '14456e50bb058688', '1de0bd69f911ee70', '3aa4b919796c8489', 'bc6e849f31caa3c4', '6331b95bb2f8f587', 'e44bfee2e76cc905']; context = [[90, 150], [26, 88], [132, 194], [64, 125], [0, 48], [9, 99], [12, 101], [64, 121], [9, 99], [4, 57], [112, 169], [13, 84], [38, 94], [0, 49], [0, 49], [83, 144]]; loss = 0.012683 low_pass_filter = 0.300
+Epoch 0: | | 39159/? [6:50:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 39160; scene = ['017db3179b9acc0e', 'f8be016e9da13a3e', 'e9f90329d3a221ee', 'e5beecca12b7d4da', '3fd25d4c4bd917e3', '42837c7159a414e5', '597188ccf92f057e', '78db40a9260868ef', '6b7f15a683fc23a5', 'db560bd3bad6a29d', '430eed4f28618c39', 'd5140e98ec18e816', '95c7b06087c6d341', 'ea903615256ec50f', '67a721d9dacc515b', 'b1b562b40036ae76']; context = [[19, 104], [109, 155], [24, 83], [42, 111], [14, 61], [24, 96], [0, 49], [37, 106], [5, 70], [3, 83], [38, 120], [66, 117], [3, 90], [82, 144], [13, 93], [29, 115]]; loss = 0.015084 low_pass_filter = 0.300
+Epoch 0: | | 39169/? [6:50:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39170; scene = ['d87754ed09b69593', 'd584fda314ab11db', 'f3a1d7eb82514692', '892c09bee3c83352', 'c7bea6aa7296c50b', 'c8af89fa161452c0', '30a815b0b47e8a6d', '6948d440d6aae7d0', 'c2c69f132eaf226b', '7d08a5d6a3217be2', '39953b7377e8fbc6', 'a4bfd76bce0d2976', '44081a1a9b1b183d', 'cf83070a1af0286e', '6db2e32175f3fb2b', '969b9699cbc22537']; context = [[53, 98], [76, 129], [79, 161], [201, 271], [0, 54], [76, 142], [61, 127], [138, 215], [58, 136], [59, 148], [93, 144], [33, 92], [5, 61], [35, 100], [25, 95], [2, 58]]; loss = 0.015563 low_pass_filter = 0.300
+Epoch 0: | | 39179/? [6:50:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 39180; scene = ['36655ab822a014cb', '3ca0f38cb3416c48', 'a18e1a568b0b71ec', '0fd40a7e2e3eab8f', '9ac302c404258e3d', '4397352abcf03d9f', '857d4eb506c89618', '453ac3827f483799', '87397fc51bb6dae8', '99e16b7e5d60e435', '3ff87434e0371b5d', '77e8495e8c522bca', '52d169d1713624df', 'c97b29f66fea7e00', 'b3b98473d0e46f77', 'edbe9338dc896f16']; context = [[20, 107], [0, 45], [160, 221], [44, 126], [7, 68], [60, 127], [77, 164], [31, 83], [0, 49], [121, 181], [146, 206], [0, 51], [21, 105], [78, 143], [39, 87], [2, 89]]; loss = 0.024209 low_pass_filter = 0.300
+Epoch 0: | | 39189/? [6:50:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 39190; scene = ['c3165a339b9a09e5', '5ac80497fad02a9a', '41c72cd693116118', '9164e11049261164', '3d815e82280adf55', 'a6231e1d75daab63', '654b984035c8e861', 'ba76ae55718c204b', '82287431217a5884', '99e60f10e4d0acb3', '962bb93ece5a86c7', 'e81ad0d1b43649ef', 'dbc96a6d523c159f', '1ab82d50c439c6c3', '36df4bc97cbd94f0', '179fbbbcc3e6e195']; context = [[58, 145], [45, 131], [15, 64], [6, 73], [75, 127], [49, 115], [1, 64], [7, 67], [162, 239], [161, 233], [3, 61], [61, 135], [159, 209], [13, 74], [5, 64], [108, 172]]; loss = 0.014373 low_pass_filter = 0.300
+Epoch 0: | | 39199/? [6:51:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39200; scene = ['c86e913c788a6c0f', '290646274ee18fc3', '34da68cf2bcf2b7c', '942e3250ed472323', '4a80796bbd808314', 'd53b2c5e07389e47', 'f42f37e7cb438287', '8c7023aed11519be', '90e00093cf230e1e', 'dfe1ecaeafaedff6', '4ab0a6c6a95b0be4', 'a2649f4527694b42', '4a9c0902388ea4c9', '2655dd30e62d332c', '9e78fddd2c893c78', '97625dd2311a4b8e']; context = [[20, 106], [6, 60], [45, 90], [1, 65], [57, 103], [78, 168], [2, 52], [3, 77], [56, 124], [92, 156], [29, 100], [15, 63], [11, 76], [89, 165], [31, 83], [16, 102]]; loss = 0.014786 low_pass_filter = 0.300
+Epoch 0: | | 39209/? [6:51:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 39210; scene = ['316f04cd97503684', 'de40426a00dab49a', '1e16c3f44fb40c63', '6b636cd3f339790b', '0841dc352b358629', 'bfaf7588ae5507eb', '9308b0309e860d89', '76b806736cbd3ab5', '742dd935b1e80082', 'b7ce83af117bba95', '4ae447fcc0d0c2f9', 'e8f2a9d8809cbb5f', '932b4806763bfb08', '33f6234f6414324c', '43afc7d30bc60f7a', 'd58c9ee06ec6f28f']; context = [[146, 216], [20, 73], [184, 263], [3, 64], [31, 116], [6, 70], [17, 82], [70, 144], [66, 123], [5, 91], [6, 52], [18, 90], [12, 76], [64, 129], [22, 71], [27, 81]]; loss = 0.014437 low_pass_filter = 0.300
+Epoch 0: | | 39219/? [6:51:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 39220; scene = ['c38f283c8f0ebc3f', 'f169a39c736d726c', '11d5b692922b1018', '259fec6c43f1f0b1', '456e49b9cf11923a', '5eb87abdf1468405', '34709fee2e3119e4', 'eaeaf71b0ff6e2e2', '02227bd2bf5727ce', '9623dafadfe20fbc', '41ef6698fbe7aaa0', 'f6a68923ac68bc4a', 'ef6f624489fffa84', 'eea9a40d34d9e8f3', '27cf7ba27eed1eae', 'f8f0491a2268ee5e']; context = [[0, 66], [14, 59], [106, 165], [202, 268], [11, 75], [9, 76], [69, 117], [105, 154], [43, 115], [3, 93], [21, 71], [14, 77], [37, 106], [1, 49], [6, 73], [5, 62]]; loss = 0.015672 low_pass_filter = 0.300
+Epoch 0: | | 39229/? [6:51:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.20, train/active_min_children_step=1.0train step 39230; scene = ['8c224074efc15ec0', 'f1407fabdbb42f5b', 'e0b0cf7daed6dd9d', '0157375f8be4eb08', 'c9d7a04aa04ce07d', '6c947188060d63fa', 'a2802eff47145236', '3cb28ed53ac1075d', '852949800bb15761', '9987f0ef7de24e92', 'a1544b2525f885ef', 'bb1bd3fb695cdad3', '81d36b8a05710cdc', '30864bca8dde88a6', '60af97423a0eaf57', '33b33f308a9727a3']; context = [[17, 74], [221, 272], [1, 58], [18, 87], [108, 167], [68, 142], [43, 131], [46, 101], [20, 78], [0, 67], [3, 54], [15, 70], [132, 196], [4, 66], [37, 88], [64, 117]]; loss = 0.012182 low_pass_filter = 0.300
+Epoch 0: | | 39239/? [6:51:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 39240; scene = ['ae8c32d3055c3be0', 'd1fb2417deb8371d', '27c316947cc616b5', '036724ed27bc068a', 'e76eee95e9e5747f', '9b4e9736b11aad1a', '16a13fa9b4ec79a8', '7445118d42f7ce3c', '41b957835a1e5631', 'ea8358aa959c7b88', '1daa5a27b4119f90', '02f955bfea1c14e6', '442b8ca8e4a5a01c', '330fcfa98fbe07d8', 'ab48b85e9755697e', '4c4c66eb8440e75e']; context = [[45, 109], [2, 68], [34, 108], [51, 98], [18, 78], [50, 124], [92, 145], [7, 93], [74, 139], [27, 101], [5, 71], [6, 85], [12, 82], [7, 65], [1, 65], [57, 116]]; loss = 0.012249 low_pass_filter = 0.300
+Epoch 0: | | 39249/? [6:51:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 39250; scene = ['4cd552b90b7668a4', 'b5a694f53a65b897', 'a517f1d63f03aae6', '0d4271ec086413ab', 'dc068443ff649ed5', '465485854dea3a8f', '6b481d7f8c3e3887', '71cfdc10d5150a3d', 'a740e82dd72e351d', 'e5f6c40c0454e1aa', 'c40133dd82bfbd0c', '448da348dbaf99c4', '1f3dae4428a8d9bc', '0583810be7bc8bf8', '51c99c6fd15b519a', '970350268b239272']; context = [[118, 194], [47, 118], [24, 85], [1, 65], [2, 67], [7, 65], [99, 149], [38, 96], [9, 54], [40, 123], [46, 129], [35, 89], [0, 47], [78, 143], [130, 214], [34, 103]]; loss = 0.018633 low_pass_filter = 0.300
+Epoch 0: | | 39259/? [6:51:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.80, train/active_min_children_step=1.0train step 39260; scene = ['d6fb3530ec7b97c2', '34b6c365004325e7', '1a7b857d206b5e11', '2ce510cbb00a5b98', '5681ba36cbd7b536', '13205ed3f8a1e6e5', '1ebdc60a63a39cc2', 'b8d3bc1a15392e95', 'be8c6b7afa194fb1', '46508aed27d2697a', '5036b3d4006fc38e', '7f81377d11943daf', '8d9630d79798d048', '715e8695976cdb61', 'e2ff80123009d26f', 'a3f4997a193d65fd']; context = [[119, 190], [35, 112], [39, 97], [63, 126], [8, 87], [7, 95], [22, 69], [35, 106], [1, 66], [23, 73], [152, 205], [133, 199], [4, 49], [13, 71], [7, 77], [0, 57]]; loss = 0.015236 low_pass_filter = 0.300
+Epoch 0: | | 39269/? [6:51:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39270; scene = ['5054bdf3153e5786', '6a12762f4fa26a40', '41ba1a6b8d923830', 'e0bdb159d8c138c2', 'f4c1819dbccb953b', 'd56ac01183d2f244', 'de7a63a9ff99be70', 'b8f235ecb665c9be', '452903cbbb0f87db', '1ca246326f3ba534', 'cf7ae8e62157a6f5', 'b5dbbbf30fc7a602', 'd70d0085aaf262e8', '41e72019df0f1014', '76dae941ffcc3e94', '1a0c841bd063b70b']; context = [[168, 244], [11, 64], [82, 131], [3, 57], [26, 83], [100, 174], [112, 189], [70, 157], [2, 89], [98, 146], [34, 122], [6, 52], [57, 134], [23, 79], [13, 89], [2, 50]]; loss = 0.015992 low_pass_filter = 0.300
+Epoch 0: | | 39279/? [6:51:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 39280; scene = ['6adb937f72020aa9', '0a6608f992d052c9', 'e5036ebafb2c7a4f', '95eac29b72dbc79a', '3c6e138710fa52e1', '0f3f75855f29f30f', 'ace3b09a2a2be08b', '58c38e072fa97b1f', '3cfe932b6c657e6e', '28a665f16aeec79c', '247e93105d7af392', '5379f7a06f13000a', 'b990cf050c5bbac0', 'd2eb4e2748a5dd2f', '0f1e5508860711a6', '96daab69b9b19e41']; context = [[26, 93], [40, 125], [0, 69], [34, 118], [15, 82], [121, 181], [35, 103], [19, 80], [2, 87], [10, 85], [89, 144], [7, 76], [55, 135], [38, 123], [2, 48], [149, 197]]; loss = 0.016215 low_pass_filter = 0.300
+Epoch 0: | | 39289/? [6:52:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 39290; scene = ['a1e67b5c38a3c0c7', 'e93ef07a12e65021', 'ebfd99428653bec9', '883e411c844935bd', 'add613d689db1b36', 'cc1d9324e09232f4', 'd3e71bbbe7705414', 'c3c6a1d4b69cdaf6', 'ffdc1ca307b644ad', 'c214b28101c8c489', '7daa7a0f699ceabc', '2a120d7433051b39', 'caf5b80ffb785dd3', 'ad7c9253e7d65d04', 'e7c1d9d2e45a2d28', 'f8c20984cae1a403']; context = [[139, 200], [40, 123], [70, 118], [54, 127], [57, 138], [90, 151], [43, 128], [28, 116], [19, 84], [15, 91], [14, 80], [21, 107], [12, 64], [4, 65], [22, 102], [34, 115]]; loss = 0.016539 low_pass_filter = 0.300
+Epoch 0: | | 39299/? [6:52:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 39300; scene = ['d213ce3b97719343', 'dac3810c49d3ab7b', '17eb179606c65453', '4646bbb28f1eae0e', 'bf18f5ce237cd08c', 'ecbacc0f6e82298f', '0e877f29a64985f6', '2d2956eda43da92c', '03ebe8f7060a0adb', 'ec4db803b81a0bdc', 'a3623a3ebc370bbe', '6d924b8977d59cbc', '91e6d5db234847dd', '03fbcd2f324b9946', '760c626fa583ca58', 'e7ca86a31912e83a']; context = [[33, 118], [114, 161], [17, 65], [101, 151], [58, 143], [2, 63], [17, 97], [13, 58], [15, 69], [8, 60], [29, 87], [0, 72], [18, 66], [55, 135], [21, 94], [30, 87]]; loss = 0.010635 low_pass_filter = 0.300
+Epoch 0: | | 39309/? [6:52:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 39310; scene = ['f72ed6e42de68650', '235c4e41c5a079f2', '43cb4612e252bc5a', 'de086bffb414572c', '0d73883da630b51e', '1a81722d05a00087', 'fd7dda2e73e2ad17', '30a0d868659a463c', 'e569151c181805ef', '0d84f49089c8d865', '5d69e11f2e2cc725', '185c62b6e5987061', 'e105f9684d242932', '83cf02966f5f2d89', 'b34572a642288eda', '20a3585f1eea662d']; context = [[138, 222], [51, 109], [66, 149], [22, 104], [6, 53], [190, 246], [1, 88], [5, 79], [28, 83], [7, 78], [64, 151], [2, 81], [1, 66], [9, 75], [154, 206], [64, 111]]; loss = 0.011444 low_pass_filter = 0.300
+Epoch 0: | | 39319/? [6:52:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 39320; scene = ['8970ad7f03d89ca3', '92a9932b7fa61527', 'ce9deeefe10c3249', '66d1245890c6990f', 'b97d670a564c4f01', '8fa1f01dcf1e67ec', '874157e6587dd60c', '6555cdd783806de5', '2ff050f5f09529d0', 'a16a56ae20e8fbf2', 'bd70de468feeaf26', '4e11b2499f900054', '270022f0b06e71d5', 'bbb0e9da2dddcfce', '7b3ed343513dc1ba', '33847bd0ad0529bd']; context = [[51, 98], [12, 84], [16, 64], [44, 111], [7, 83], [9, 67], [90, 144], [19, 66], [11, 76], [4, 64], [5, 55], [101, 160], [117, 162], [31, 88], [13, 59], [32, 77]]; loss = 0.015618 low_pass_filter = 0.300
+Epoch 0: | | 39329/? [6:52:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 39330; scene = ['10f90d9c4a367c03', 'a5b6cacfd48c1a22', '4373e286e98b9688', '8de37acafa4c9225', '731c1096ecd776b9', '7b3e257b238625ba', 'bf716993f39b898d', 'e44b389e002db5e7', '5adbb5c1b466fdcd', '28b29bfd875bf3a6', '6e134a43dd944704', '472769038b06eac3', '9e0314ddf81cdcd0', 'dbb06d677a5501c8', '4810fdffa87c36f1', '2ddf078ebe289075']; context = [[29, 107], [92, 156], [36, 126], [4, 49], [35, 82], [67, 154], [76, 150], [72, 117], [184, 265], [67, 122], [78, 144], [50, 128], [48, 103], [187, 247], [17, 67], [44, 127]]; loss = 0.017395 low_pass_filter = 0.300
+Epoch 0: | | 39339/? [6:52:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 39340; scene = ['3e07ac19a6be1efd', 'ec54d60519d51799', '66c7951015f7b269', '3c80b69ca39d44e4', '44c921ca58ff288f', '5757c3fde1248166', '8b584a8dd9618d1c', 'd042a0bda52029a9', 'e7da078102ea216c', '70a0186b1ff0c13d', 'ba7dba0c84bc5431', '4ec56d4d5fd32c0d', 'db2964c9fbc55f4a', '198ac2a78d76aa94', '83afa72ac0ed59fc', '287351b385edbe2a']; context = [[4, 72], [10, 73], [13, 80], [97, 149], [116, 172], [2, 85], [95, 164], [0, 88], [35, 104], [11, 87], [124, 204], [3, 63], [136, 202], [12, 90], [66, 128], [38, 101]]; loss = 0.013815 low_pass_filter = 0.300
+Epoch 0: | | 39349/? [6:52:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39350; scene = ['341986d27509ff20', '1cfcb6959bfd3834', '199a9ef5a23a3db9', 'e07e08f341770ca3', '43dc5c8c8859dc3c', 'bb6af706745a579c', '4f41b0ce610b9bc5', 'd428826914bed12d', '238a28384742ad6c', '5817b7ccc056f135', '1c0afb164be04052', '7bb2a36d347cb804', '9b6abb583f61a99b', 'f51bd3c5d50335b9', '80df049a2df21988', '3a09888e3ad10f3f']; context = [[71, 159], [6, 55], [157, 202], [10, 97], [8, 66], [8, 87], [2, 58], [9, 98], [34, 85], [11, 89], [11, 85], [7, 67], [89, 136], [6, 61], [84, 148], [9, 67]]; loss = 0.014461 low_pass_filter = 0.300
+Epoch 0: | | 39359/? [6:52:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39360; scene = ['9fc3c4744e0e2ed0', '68fd2ff0894273ae', '12dcdc7b57c5756d', '8776e4e56c4b77c2', '798e588ac5406bdb', '6c1eb272fc5b77c7', 'b495c65ac2253258', 'b1b4c651bc690392', '05a9d89bff58808a', '3b06e30764de0c76', 'e2c01725e998ff1a', '2e6fe1b9dda94ef9', '0c3bfed4e619de85', 'fa777b68ceae71c0', '45a70c2bbeead675', '16884fdd46b412d2']; context = [[13, 93], [25, 115], [66, 129], [75, 142], [100, 184], [6, 89], [25, 102], [52, 107], [15, 73], [0, 71], [0, 76], [5, 73], [40, 102], [120, 166], [19, 94], [55, 104]]; loss = 0.012076 low_pass_filter = 0.300
+Epoch 0: | | 39369/? [6:52:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.70, train/active_min_children_step=1.0train step 39370; scene = ['e5600b21d39ad14c', 'b24d544fda152e5a', 'b82600c38de99d99', 'b5ad26a8022c7109', '55ff32060bfc093d', '84b45eaab0e1a392', '656455571d1a56b5', '49332a47b7d84230', '3b0242b4bad31b9a', 'b47d79c158df940a', '9939b4381aaf7427', '01e5a931a368c08a', '283f97b69a040590', '88228785b1d84b5e', '370c89acaa45185a', '4411ae95c7e5029d']; context = [[4, 87], [115, 165], [2, 55], [2, 63], [34, 115], [159, 219], [13, 92], [86, 146], [117, 172], [3, 53], [193, 273], [2, 62], [77, 164], [19, 73], [94, 154], [2, 86]]; loss = 0.013607 low_pass_filter = 0.300
+Epoch 0: | | 39379/? [6:52:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 39380; scene = ['e9fa2875aefdb532', 'e5b3c987f0c0c044', '0d71795b5a29c8e3', '426dd580102633b2', '27c1a03e4474dec9', 'b72e9f8ef1767537', '342cf894bcd94642', '4f35c00df91f0fc1', 'df3d9e0d9c57b60e', 'c49c716e0257136d', '73d493ff94578c55', '2a2e3da0444d2ecd', '91bab928c4639b09', '3dc0b3372b2e13dd', 'ffaaeea472f10ee2', '2b0182cffdc9433b']; context = [[37, 126], [52, 108], [19, 68], [202, 252], [56, 141], [12, 78], [4, 81], [1, 79], [2, 56], [5, 58], [3, 69], [26, 89], [26, 105], [3, 67], [4, 49], [95, 165]]; loss = 0.011935 low_pass_filter = 0.300
+Epoch 0: | | 39389/? [6:53:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 39390; scene = ['bc521d4b43740651', 'd9dfd39cded81c04', 'd05247944f04d2fc', 'fa56f3e15fc4eadf', '9afe6cdc099af409', 'de504bd8de0b34d7', '43af82aed919ea71', 'fe545b889554fa8f', '23d449ed98df6459', 'cdef81148d7e3223', '1ebe5e9f0f00bd77', '53ab12b2fa864f2e', '2f64c3963a75cd2f', '6016abdc3fcd547d', 'f02194b56e76b29f', 'b3c1b2ae6ceafc55']; context = [[1, 78], [113, 161], [46, 132], [23, 71], [16, 65], [57, 103], [75, 156], [32, 100], [23, 113], [31, 88], [36, 87], [14, 93], [5, 63], [1, 87], [34, 104], [44, 96]]; loss = 0.013654 low_pass_filter = 0.300
+Epoch 0: | | 39399/? [6:53:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 39400; scene = ['b46177248cfd9660', '4588de03f6d0819d', '877a629d92b63701', '9433f9e25035a257', 'abc3c3206c8c7b2c', 'a51b891b131020be', 'baed0b1b56664c55', '851fa0b5d499c1df', '9bd581fca2259350', '776064ae58e63baa', 'b4cbe1753e9d2ae4', '70c64ce0990243b8', 'f7f116fd4890b30f', '4aea1d41655b1edf', '03efa181c819191c', '37af8a80f816adcd']; context = [[8, 84], [73, 158], [34, 91], [55, 145], [28, 79], [7, 89], [128, 194], [19, 81], [4, 78], [42, 121], [121, 195], [10, 68], [46, 111], [2, 88], [63, 141], [96, 145]]; loss = 0.014604 low_pass_filter = 0.300
+Epoch 0: | | 39409/? [6:53:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 39410; scene = ['971dd6aed961bf0e', '000e285b03f3fddf', '7569b1a23a0c670a', '937b13bf6372d464', '7b93613b1455e530', '17487b231252bcb5', '9cbc2da15fda5454', 'a460ab40c5e3b5d6', '2997ec72df5bd3b2', 'f94eea89d7b3b888', '94c24d79a85823f3', '7e4fbd1d49769350', '91d3ff9286d99d8c', '4746597c7f62d8b6', '6c6a9874616bd4f3', 'a5f9d22b57f2f16b']; context = [[15, 78], [6, 65], [23, 103], [62, 113], [21, 95], [54, 121], [1, 46], [1, 72], [17, 71], [208, 270], [64, 149], [4, 82], [10, 75], [3, 83], [42, 94], [1, 66]]; loss = 0.010875 low_pass_filter = 0.300
+Epoch 0: | | 39419/? [6:53:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 39420; scene = ['6e3772dfbac86778', '72101c504a4c57d4', '3055585671a8da3f', 'ed981652ad74f345', 'aa5fd8173f0e59f5', '84e504fd32f299e8', '52c7f7de545e4b71', '5ed76274f5543cfc', '1f448be55dacae22', '4b91e3d10a227be5', '6310e828b3588296', '50b2407be378b2cb', '09454319bbff60b8', '48dd5e8585754cb0', 'b22ecfd2e0500719', '35e10408a07458fc']; context = [[23, 86], [30, 110], [68, 139], [3, 70], [2, 74], [14, 93], [1, 49], [13, 76], [94, 142], [71, 149], [39, 97], [70, 128], [24, 92], [28, 106], [20, 69], [5, 81]]; loss = 0.013202 low_pass_filter = 0.300
+Epoch 0: | | 39429/? [6:53:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 39430; scene = ['c6e306b85165a748', '05c29d863074fdef', 'f87486ad60f4d325', '968cea950767945a', 'a2857ae324e107e1', 'd68c6b96dd4d2bcf', '8d7095ce41fde796', '542624137a615a14', '28072b33e95ba5c0', 'f19b5dda587c3c3e', 'c7ce5ef449733d11', 'ef3dc0aa917eddbd', 'b17689b8a65a6efa', 'be0cf3d7c2eb1343', '061d54afa40ad4e8', 'f45582a935f66bb8']; context = [[84, 164], [21, 102], [24, 72], [12, 79], [28, 86], [5, 51], [1, 48], [86, 148], [17, 103], [54, 113], [12, 78], [30, 98], [30, 90], [7, 77], [0, 78], [96, 141]]; loss = 0.013959 low_pass_filter = 0.300
+Epoch 0: | | 39439/? [6:53:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 39440; scene = ['aa6f4e19536dbff6', '9e9a175c7bbb8955', 'dc916da53a8cbbc9', 'ffcb838442d53ccf', 'd2593ee976dbab73', 'cf0142be7aea0ddb', '16d0feabcf34f5c1', '809e30bb8733d903', '30ffbfabfe08cd98', '57e45a7ba41a4892', '2db54eadb1e42885', 'a86b3b01d1a3a7ef', '3780e22f0d691f9d', 'b3acf7e8cc0a5371', 'b4692cbaafb76fd3', '94f8af540f480a57']; context = [[10, 67], [0, 48], [88, 162], [12, 77], [17, 86], [3, 52], [0, 70], [7, 52], [98, 184], [183, 254], [53, 131], [25, 112], [26, 104], [95, 159], [67, 123], [4, 51]]; loss = 0.017896 low_pass_filter = 0.300
+Epoch 0: | | 39449/? [6:53:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 39450; scene = ['a5de97e3a325e6e0', 'a258d9b29e7b3b44', '53078019d1b8b4af', '436e4e1b7504931b', '3e94e736d15703c8', '7404373c2938ee0c', 'b617e22319a08f26', 'bd7312f66287e21c', '2cce8941668b2029', '2c0e2d48b3a9da07', 'b25d1b038eaca4f2', '465ef738ef5d8040', '1fa30b4cd1d6307a', '010015f4186d810e', 'c67ada3a05b5cac2', '39ea2488a39e7648']; context = [[12, 57], [1, 57], [0, 69], [0, 52], [3, 54], [85, 154], [26, 94], [57, 122], [72, 143], [59, 120], [47, 122], [124, 170], [2, 55], [6, 90], [74, 151], [7, 97]]; loss = 0.011930 low_pass_filter = 0.300
+Epoch 0: | | 39459/? [6:53:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 39460; scene = ['6fabfcc7883ea4bc', '1854c5b25a877126', '93ae4ef75b0947e2', '02525e607954e087', 'b8a0860f6fda8dc3', '86aae4818a6082d9', '8906dd32981f624b', '22784cd40adaa61f', 'f50776fbe854899c', 'c1cdd3dced2f381d', 'ff092f1b478b1968', '1bf0556129bdae95', '870d17d7b9fd12ea', '087818aee1647d16', 'b68e31337deab68a', '4f9cb8e2891d1d08']; context = [[12, 67], [96, 158], [3, 69], [48, 105], [34, 110], [200, 278], [107, 175], [15, 74], [3, 71], [0, 45], [52, 124], [26, 75], [40, 90], [2, 52], [3, 80], [2, 65]]; loss = 0.012898 low_pass_filter = 0.300
+Epoch 0: | | 39469/? [6:53:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 39470; scene = ['d89dddcd0f832366', '234f8c7ac31ef3a9', '345f20661ebc438b', '7c296c69343091b1', 'fc7a4058a271568a', '399c27b648b42f81', 'e9e19e83fcf1a039', '48d1d1cc0b88b0e1', '54c069a69cdc9a5a', 'e3cbe7ea76afe8fe', '67a7ae30083745d8', '06b03bd52b56ca94', '0b472e112995287f', '3281c500dfa5bf48', '9db73c761e584373', 'f23d895422f28357']; context = [[1, 87], [103, 190], [7, 55], [47, 108], [13, 74], [0, 76], [89, 166], [31, 107], [39, 104], [0, 75], [116, 174], [159, 238], [3, 55], [15, 104], [0, 73], [40, 124]]; loss = 0.016655 low_pass_filter = 0.300
+Epoch 0: | | 39479/? [6:54:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 39480; scene = ['7c710ef6368c4455', '9a76d28513b6fdc1', '0a9fb4ad75ff12f3', 'ebcaa41e61683a0a', 'add0de603feccc08', '8f8bf7e5e249ce29', '848fad475b825e34', '35b2621e28c44be4', '1d0cbcda73d75506', '319d3690254625c2', '7acd20c044711b32', '43088ea31b0f788c', 'ab0d3321102f7d32', '8a43bf70cb04d4e9', '290cc49e093d9a76', '69c75008d6812d8c']; context = [[7, 93], [174, 245], [16, 93], [180, 225], [33, 107], [49, 120], [52, 139], [20, 93], [81, 148], [8, 55], [8, 74], [9, 65], [25, 96], [28, 96], [20, 110], [2, 59]]; loss = 0.014328 low_pass_filter = 0.300
+Epoch 0: | | 39489/? [6:54:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 39490; scene = ['8c7af7ed1c34fe85', '5a2953008c747c2c', 'f0ad94005844908b', '1e20db1eaa6d89a1', 'fc64e2ea797f1c20', '6679553589e68811', '0d3a88f1ab3f5717', 'f14dbb2243b1fac3', '10c8704bb6745b6e', '87b9c2954fe05751', '45fff92461a9cae0', '3f439ee888325de4', '206c406cbb54c9d6', '714c3dc97fac769a', 'b16abc4d67655cb5', 'a5755fb377071cda']; context = [[9, 64], [16, 102], [73, 137], [15, 103], [93, 147], [0, 53], [10, 98], [39, 106], [107, 174], [101, 152], [6, 52], [60, 124], [11, 63], [4, 78], [1, 76], [36, 95]]; loss = 0.015315 low_pass_filter = 0.300
+Epoch 0: | | 39499/? [6:54:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 39500; scene = ['ad76b8a71e226efc', '365c26a679e2ebed', 'd265b0d8c2b9a96e', 'f4a8f55651b1b8be', 'e9057a4ea06deb11', 'cef41c17c0e15e86', '8e6304e5675e43c8', 'b6b9559aa53adcb6', '8734bf1187fb1cb4', '6d88accab8099498', 'fb93194f2d98089f', '4eba3bc99c2092f5', '0f737b3540b6ef3c', '31920d5e39a1eb7d', 'bc1897c83ee09425', 'f99af4c9518d86e7']; context = [[2, 50], [14, 71], [21, 67], [4, 76], [0, 46], [51, 119], [21, 96], [15, 62], [1, 73], [9, 95], [216, 266], [10, 85], [9, 70], [58, 144], [46, 128], [94, 177]]; loss = 0.016726 low_pass_filter = 0.300
+Epoch 0: | | 39509/? [6:54:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 39510; scene = ['bbca804a517e6761', '737535b2deaf95e5', 'c6fa11aa48b3c933', 'a0323e6cfefa3aab', 'a7045b13eef794d1', 'b1d0300a26f2b3d7', 'c665a1d73ca58dd8', '073e687120bf353d', '8aa5ccddbcba09de', 'd326bfbbf5581ec7', 'a7b6de0edf8b5430', '8e0a13fe11111b79', '776f9105ae37722c', '3602926587799c64', 'f86499380731b8d5', 'fe85b3be4adb42aa']; context = [[119, 184], [44, 114], [1, 57], [1, 72], [32, 84], [2, 50], [9, 99], [4, 82], [23, 78], [40, 123], [116, 185], [9, 69], [36, 103], [11, 94], [3, 85], [8, 55]]; loss = 0.014175 low_pass_filter = 0.300
+Epoch 0: | | 39519/? [6:54:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 39520; scene = ['906de481e921bac2', 'f4cfbc87ff95b92d', '3730751b1237c73c', '957b2fa61822202c', '56a72d430a8dd9e0', '3e13f3fba0b0ea14', '5641c1d697eb7c00', '4cc645e3eb5ae214', '89f064fb49ca1d71', 'd8b5a46539b588b2', '25fd55548698c24f', '377ad4b5371122ec', '451cbada271e43da', 'c526862108180b76', '6a63ee943d64e132', 'c4fe7f9718c54978']; context = [[61, 134], [5, 81], [20, 75], [17, 101], [0, 50], [2, 67], [14, 70], [52, 132], [29, 101], [40, 106], [5, 60], [3, 52], [130, 218], [117, 169], [24, 87], [2, 48]]; loss = 0.013728 low_pass_filter = 0.300
+Epoch 0: | | 39529/? [6:54:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 39530; scene = ['0c9eb9638aa20481', 'd95cd751ef6f4bc5', '82c1c8656f684b1f', 'c836ef7d904d5d24', 'fd797c334015e71b', '8897ca4aaa904a14', 'd68565483c9b4696', 'bfaddc0e4ccfe12d', '12e15379b5d12957', 'f47ce554c1100cc0', 'ad6382d589e53358', '763527b7ef5f0329', '1c32325abe22ac6f', 'd426c64fa2b71ff8', 'e310d39b3b13542e', '98a1924100186241']; context = [[44, 99], [38, 128], [0, 54], [89, 152], [188, 237], [2, 75], [23, 86], [197, 251], [14, 71], [67, 156], [28, 111], [44, 115], [5, 92], [1, 69], [2, 52], [65, 145]]; loss = 0.012187 low_pass_filter = 0.300
+Epoch 0: | | 39539/? [6:54:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 39540; scene = ['82a5978dd33be41c', '57282e8799c666da', '09989abefdf386f1', '843822ab52831c17', 'a17f93139405f229', 'b48966a0343e587a', '7e5005dc1c3df373', '09e512be1e27393c', 'e58a3f8dc3c3d1a5', 'f44c8d1713e71373', '7b5286bc593e9b13', 'd0c85a21c4a51bc8', '62fc2a227b8adab0', '201e4c621f0af834', '7dd8abf5a77ad604', '5f36c5179898ecfc']; context = [[45, 131], [65, 127], [26, 113], [121, 174], [67, 150], [2, 60], [14, 70], [119, 171], [20, 88], [0, 67], [40, 122], [58, 143], [85, 133], [24, 73], [37, 93], [49, 96]]; loss = 0.012719 low_pass_filter = 0.300
+Epoch 0: | | 39549/? [6:54:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39550; scene = ['822fd1c9a445a137', 'c8cc82055a21d0cc', 'b53cea58c1e95448', '09ac7c9bdccf3b42', 'eeaf662a58103c1c', 'b368f4b308aa5185', '643734c4546730e4', 'a11a28300d3f42aa', 'f7feaf029126950b', 'a4061f8f59c6fb6a', '7c5b6dd9dad6bc99', '290e786418fa5d81', 'c4f5ed61a6c51132', '7d77404c05b9f3c4', 'b1b8b882a838d78e', '6fde90b283b311d7']; context = [[137, 210], [1, 84], [41, 126], [21, 69], [21, 108], [22, 70], [30, 108], [37, 88], [180, 252], [1, 62], [18, 76], [59, 125], [84, 171], [1, 83], [81, 131], [18, 82]]; loss = 0.014451 low_pass_filter = 0.300
+Epoch 0: | | 39559/? [6:54:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 39560; scene = ['52f15d669287b0a5', 'e022487c63207a50', '92615fe466a5c128', '5151a4f3272de295', '6365868f2215cc94', '8ee614ca77c1cbc3', '05724192980e146f', 'a8398810876faa58', '309898b39e6f84ee', '2a5e25ba4ec35232', 'bf435f936fec31dc', '0681503d0b65f5bd', '3e5688e17a5759f9', '3eb8a02384c27dc0', '2499adc9b2f97d43', 'd2d531cf12ffa9d7']; context = [[64, 120], [162, 216], [8, 84], [131, 205], [15, 94], [170, 256], [3, 51], [9, 63], [17, 98], [45, 131], [16, 84], [6, 87], [13, 67], [129, 182], [0, 61], [2, 88]]; loss = 0.015467 low_pass_filter = 0.300
+Epoch 0: | | 39569/? [6:54:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39570; scene = ['19283c18e8d4c093', 'fb92eb30e26882b8', 'eef123055b3c48f5', 'cd6cc36100bcb831', '64d99794e597251c', 'bc1cf0bfa3d4c6e3', '9e6f038db016e16a', 'd6676525b3a8b508', '7a7a6e420122259d', '2482d2f8a6a0d6ff', 'fdea0d77c74e62d8', 'c34efa1505a0cfaa', '1683c797f3feac29', 'fa3d7ea00b62e8da', '1181acbb2ab18e64', '9ebc32522a5d6bfe']; context = [[4, 65], [72, 123], [39, 127], [12, 75], [23, 87], [74, 130], [1, 61], [46, 101], [15, 81], [144, 210], [115, 201], [3, 78], [99, 159], [91, 140], [109, 199], [51, 106]]; loss = 0.011700 low_pass_filter = 0.300
+Epoch 0: | | 39579/? [6:55:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 39580; scene = ['e5545e30f772706a', 'cfcb5dc84a930779', 'a6d7ad61aadbc7f1', 'd8e17786bc9be37c', 'fa1e78f4c605baf6', 'ae8604a4d90f2274', 'dc015aae44af1ee3', '8d96d7e89d8e0026', '83d36bc79b6ddd5f', '449002ada2ccb247', '54dcba84c9970357', '3249184c77ec280c', 'a93cf5afa5172f2d', 'd6ae7df1d2f33c9e', '8ac9c6987f4e300c', '701e1e67ce9a49ec']; context = [[79, 125], [95, 170], [21, 66], [28, 95], [12, 102], [6, 68], [14, 63], [2, 80], [41, 89], [12, 76], [2, 53], [0, 70], [99, 150], [19, 93], [6, 54], [11, 76]]; loss = 0.012866 low_pass_filter = 0.300
+Epoch 0: | | 39589/? [6:55:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 39590; scene = ['3653999b060232ff', '1e483388c44e927b', '993c3b3734240eda', 'b7910be2e79e221f', '443a9edb97b38126', '84b1a75990da41c8', 'a3436e3b6d289dcf', 'ca2f347f5185e4cd', '9ce391fc1fec85bd', '1ebed7a736c390cb', '1e4386d32ed7e8aa', '91cbcbb9265e8357', '79966d1fef70f0b6', 'f7f6647e5733d3fb', 'a8fd9eded2ff8913', '469357405bf85934']; context = [[0, 82], [4, 50], [68, 129], [97, 173], [37, 105], [6, 55], [47, 132], [23, 97], [55, 101], [14, 88], [80, 127], [0, 52], [0, 45], [29, 108], [1, 63], [60, 119]]; loss = 0.013609 low_pass_filter = 0.300
+Epoch 0: | | 39599/? [6:55:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 39600; scene = ['a55f20d7bed0758d', '008caa6df1da0cd1', '59e466387c85c213', '92e8d8ff5ffd7c72', 'c92fb8581dd241e4', '111e7de0e422b16f', 'f9acc10370d2e6af', '3d00778f45626985', 'a557eb3b4761195f', '27f2c5d07c2eb595', '7898fefb2a4f8bbe', '81f3885ec89f0087', 'd35a4cb53ef35ab4', 'e8275465aed4878e', '3e24795a6fc5d769', '455e8babb3903929']; context = [[2, 49], [8, 89], [8, 55], [21, 74], [1, 59], [8, 69], [45, 91], [152, 212], [18, 64], [8, 79], [7, 90], [19, 94], [30, 116], [11, 66], [150, 237], [3, 78]]; loss = 0.013672 low_pass_filter = 0.300
+Epoch 0: | | 39609/? [6:55:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 39610; scene = ['5e323756316651e4', '891d946e02df2fff', '831ae8dd432751f5', '895921f7a73776fe', '1f239c3d12dd2cfa', 'dd5141d992727508', 'cfe1bae9cfeeab1b', 'f0652b2d28100573', '997bd4fa68eadec0', '3b21f48e23e4917f', '9704d8d01aafc1f2', '1f0941aceca49b1d', 'ad127c962ce28e63', 'f5b2acc75712bab4', 'fe1e321d59a67f06', 'c513a3c2f59aa548']; context = [[10, 79], [0, 82], [27, 90], [54, 140], [2, 58], [5, 66], [7, 61], [62, 134], [114, 173], [5, 66], [10, 66], [26, 111], [15, 84], [0, 63], [30, 89], [3, 90]]; loss = 0.014416 low_pass_filter = 0.300
+Epoch 0: | | 39619/? [6:55:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 39620; scene = ['71aaf67494c15541', '672d0bc9c604fec0', '45c4109dd630d30c', '0d9483dc76901c4a', '19d96b6971317c11', '4a7cdb52e115a287', '59baa163bc171083', '8fbdd274e2aad712', '23f62714f8f083e3', '44622d3502746b3f', '6a4f9df3e53abd9f', 'e88d5253019ba9b1', '8003d7f1ce1ddcf1', '592c5f3839bd3b3c', '225b13acb75305bd', '774aca02e8b8b2a9']; context = [[5, 86], [16, 106], [6, 59], [1, 77], [1, 63], [7, 82], [10, 66], [71, 131], [18, 63], [56, 113], [63, 133], [5, 64], [15, 101], [109, 161], [0, 49], [12, 102]]; loss = 0.012030 low_pass_filter = 0.300
+Epoch 0: | | 39629/? [6:55:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39630; scene = ['b948ce0680ae4e32', 'c79bcc417194e054', 'ea4d05de31555896', 'd673c1599cd086b4', '829a28f1c08f5a85', 'b79cba09d12f8d24', '9eb8e7f262b10c23', '637b4d4424886b66', '56ca12de78c49588', 'c3774b5bec23a553', '73b3baa378bd5c87', '571669c7509ed94a', 'ab0aa8aa12dbeb28', 'b22f7ba852796bbf', 'cfc74e7e4416207c', '44a70efa7340c337']; context = [[1, 74], [199, 272], [54, 108], [6, 60], [0, 86], [14, 71], [30, 80], [12, 99], [1, 89], [60, 110], [3, 69], [2, 65], [51, 129], [68, 120], [1, 80], [130, 177]]; loss = 0.015899 low_pass_filter = 0.300
+Epoch 0: | | 39639/? [6:55:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 39640; scene = ['921a2747f28f1aee', 'c32210a376137088', 'fbeb7fe99c10b717', 'c74c318cbdc27580', '2b1892610e2c4d6e', 'cc6575deb4a5197c', 'f3d11118a0c4506d', '301b15f94d691805', '5fae83987df7adf5', '292aac2b17294096', 'e5dd54a365778700', '1ed1881ef2ce7787', 'bf01907dda08e73c', '3e9e39a206935fe5', 'b28cf91f94da99b7', 'be0d7a8f8e6c1f8b']; context = [[5, 79], [4, 61], [10, 90], [43, 95], [2, 55], [154, 238], [8, 84], [18, 95], [52, 120], [99, 144], [104, 168], [2, 56], [8, 69], [124, 174], [3, 84], [105, 180]]; loss = 0.016404 low_pass_filter = 0.300
+Epoch 0: | | 39649/? [6:55:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 39650; scene = ['a210d76ab2d20a1f', '5f19088fcdebb2c5', '05f3364c68280447', 'e2101e24b745e35a', 'bf8d7d53329bfcde', 'dc3fe6f0dd9c89fc', '968e4bc6074896ec', '398387e65925128a', 'fd736740ea4abcc7', 'd9f4d087b09b5361', '80fdcecdeb194bd8', '65cd58dfb9df8a99', '87ddb273a2668496', '4188a5e607ad1fb9', 'f91d7a1faae3058c', '94c7c99bb28b6c11']; context = [[49, 101], [66, 122], [49, 135], [66, 140], [78, 133], [9, 77], [0, 83], [9, 59], [0, 48], [3, 73], [8, 64], [33, 109], [142, 221], [38, 89], [23, 88], [116, 195]]; loss = 0.014217 low_pass_filter = 0.300
+Epoch 0: | | 39659/? [6:55:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 39660; scene = ['6f4f54d89383e1ba', 'ae9b392cb1d7be26', 'e8c96df4cc444126', 'fa2ed612e4e4571a', '79067e5469011b9c', '9279e8c39cc97f61', 'fb7e590e55d73d74', '3e0937db6474b95a', 'd32f4d396f08bddb', '67aae600f1bb228c', '7c939df191bd83f6', '5b4a74b41fa843d6', 'ae975ae41325f212', '2687919de74c53e4', '85ce26499fed5d09', 'd0d9bcb46b70df95']; context = [[197, 274], [125, 172], [50, 120], [45, 120], [16, 97], [24, 73], [0, 81], [8, 80], [86, 143], [1, 55], [13, 82], [52, 99], [24, 76], [76, 136], [50, 109], [9, 64]]; loss = 0.014885 low_pass_filter = 0.300
+Epoch 0: | | 39669/? [6:55:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 39670; scene = ['afc970648a89e04a', '2b83ce9b23c5ab7d', '84cede8286dcf69b', 'bf37ac6cc15e90c4', 'e52f052d044d211d', '25f8fa5f70fc3819', '31ee350c3a69061c', '24e9073a5b74814c', '9672bf2513953ed0', '2178a852fea5c59c', 'ed1510746de8198f', 'dddfc77781886a81', '6f37d76aa601bf66', 'dec153e8b722d2b3', 'c60d553642bdd168', 'a96c775f192fdca7']; context = [[102, 155], [16, 78], [97, 155], [62, 122], [31, 105], [142, 194], [5, 52], [54, 100], [6, 91], [65, 143], [157, 210], [0, 76], [90, 176], [47, 98], [12, 98], [5, 66]]; loss = 0.014465 low_pass_filter = 0.300
+Epoch 0: | | 39679/? [6:56:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39680; scene = ['270c3e94da75a8d8', 'ad665e1696399247', '68e317da8b8263e2', '5ae2a8e6f1f52f58', 'aefd1619f18cb89a', 'b43d7cef027afc33', 'd0e9a80b136f075c', 'd3439c63b98e6e98', '8f2cfae19c1bdc3e', '5fb33865ad397908', '75d992940e9646b2', '265d9f82e49dcca1', '122597370c8e3622', 'f548180c554e2c94', '16d6e67e8993f797', '727229bd7a427966']; context = [[72, 140], [49, 105], [47, 109], [15, 85], [103, 162], [0, 89], [31, 90], [7, 92], [13, 65], [97, 152], [135, 183], [16, 82], [5, 62], [4, 68], [8, 73], [31, 82]]; loss = 0.012011 low_pass_filter = 0.300
+Epoch 0: | | 39689/? [6:56:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39690; scene = ['25716d1b83688d14', '0bdcdb4fdd1bc2c7', 'a4945b7f65c2e00b', '9752656fbe957d0a', '4ecd5c4f7805037c', '1f299bff774a57a9', 'b0466db63a8353c2', '503b736751827a0b', 'e7e9cd3b53ca4e22', 'a9b44c60b6940e3c', '7dcdecb79cbb1334', 'cbae7b8786bec1e4', '162daefc4ddae544', '31c1855b8ad30220', 'a772b5f2e834d70d', 'a5b3faa684a1553a']; context = [[2, 52], [10, 93], [15, 75], [45, 125], [0, 45], [14, 83], [11, 66], [93, 147], [13, 102], [134, 191], [3, 90], [146, 209], [46, 129], [12, 96], [47, 99], [35, 106]]; loss = 0.013480 low_pass_filter = 0.300
+Epoch 0: | | 39699/? [6:56:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 39700; scene = ['40cb2e38e23d330c', '76363422d829a5ea', 'f7adb9b80aeb99ee', '7f1444750fc50ba8', 'b9150a0deb480f1e', '752a2c0964a92680', '9a4c0bb938bd7c83', '132c4737c30b0bf7', '6d93e8f7923b4d70', 'f5b19c838f9f8b2e', 'af018f37a5cfffcd', 'fee7f9e43a85aaca', 'ad1b9085098baa13', 'a16a56ae20e8fbf2', '6555cdd783806de5', '874157e6587dd60c']; context = [[9, 83], [4, 90], [70, 128], [172, 254], [9, 78], [117, 165], [20, 106], [152, 227], [52, 119], [118, 186], [18, 79], [1, 73], [0, 51], [8, 60], [24, 88], [55, 107]]; loss = 0.014240 low_pass_filter = 0.300
+Epoch 0: | | 39709/? [6:56:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 39710; scene = ['5a90e252660a39c9', 'e5da140c92b92632', 'bdee0698adec58fe', '4b80735474917754', '095367e476cbfd89', '130496764c4b5eea', 'b8e33219322fdc9e', 'd2307ac96c09d34d', '3ccc69a990588f90', 'ee7cebcc029763bd', 'f7b14fc9fd5ce781', 'ae9acd2783d20326', '8ab3c62fc02abdd8', '77708d513a3bdacc', '83186b2f2e346572', '3719de4d5af2ad59']; context = [[19, 68], [1, 80], [3, 84], [186, 234], [7, 91], [121, 181], [22, 91], [2, 49], [13, 95], [62, 116], [54, 139], [28, 106], [63, 127], [5, 83], [124, 184], [0, 62]]; loss = 0.015719 low_pass_filter = 0.300
+Epoch 0: | | 39719/? [6:56:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 39720; scene = ['f0e0259d0862783c', '3d07ff40fcf31585', '296a29e2e01ac5f3', '74cefc3258c615c2', '462da395d2473142', '30cd9efea5e2481b', '98813ff7feb96e8d', '0e7c14bb5ba5b628', 'f3c5b8e26e6f3145', 'c557903d54996163', '83d958616822ae27', '44c1d7d26fae31c6', 'af61461e40b625da', 'e20055fae4f5d668', '51555d560a1c714d', '773a3adcad1e1df5']; context = [[4, 92], [25, 84], [83, 150], [9, 65], [184, 244], [87, 164], [12, 75], [52, 113], [29, 113], [18, 90], [99, 177], [10, 55], [0, 59], [5, 79], [3, 57], [147, 226]]; loss = 0.015917 low_pass_filter = 0.300
+Epoch 0: | | 39729/? [6:56:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 39730; scene = ['1bdc3545839f87fd', '86127a9af654d2e4', '4967b75401615e71', '0f80349efadcafcc', 'a817b56dacef46b7', 'b8acc0dfb0bc4b1e', '3aa4c2c3e20b7f5f', '2aac042a0d362f0b', '5b0d6c1647214139', '31ba36328f5e0f9a', '249f78d6d0b9f4a4', '8c174f21bde778b0', 'e191c3d4ea711568', '6dfa6c612f9209f5', '84156a96d99cea83', '4a9f133fa50069b4']; context = [[23, 81], [8, 64], [1, 67], [47, 120], [0, 46], [50, 96], [17, 66], [68, 130], [185, 230], [102, 161], [3, 60], [80, 139], [2, 73], [138, 201], [89, 173], [6, 57]]; loss = 0.012718 low_pass_filter = 0.300
+Epoch 0: | | 39739/? [6:56:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 39740; scene = ['e77c01e0ab1921c1', 'fb774f1f577b648d', 'eeac9962eca476e8', '631faabe036acfbd', 'd9df8387312aa338', 'c0f9d6c981f56f1a', '69a71426eaf232fb', 'b936c3cd1f2b8781', '158172baed11962e', '1b3f32102bd0e98d', '844bfbdd9595723b', '5bea8db2d4f7856b', '2d6f177e85d244a0', 'd256260f2a5aea8c', '0b7b84c45ac83e42', '409992fcef38c5b3']; context = [[0, 69], [10, 93], [56, 109], [0, 86], [27, 77], [22, 101], [2, 53], [44, 102], [9, 61], [45, 90], [164, 243], [20, 70], [0, 61], [5, 94], [8, 98], [4, 55]]; loss = 0.014788 low_pass_filter = 0.300
+Epoch 0: | | 39749/? [6:56:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 39750; scene = ['5c61be9113ab38be', '664ad76c825a89a4', '0f1770edc4686804', '111a2975a86f6e89', '6800182ce64325f0', '661c9d87c961a0e3', 'c7c3770350b9d958', 'f842fc3a048073e6', '519e791a79112caa', 'b1c505350a76d200', '9bd2946da7cce42f', '0ea34d96c88e77b8', '356065de0851f6fe', '402329e243df3834', '60b8121fc6fac480', '70e43f19fe209071']; context = [[83, 141], [0, 45], [0, 48], [121, 197], [81, 166], [0, 77], [30, 97], [8, 80], [199, 261], [2, 61], [7, 94], [4, 62], [3, 49], [5, 69], [2, 77], [19, 75]]; loss = 0.012711 low_pass_filter = 0.300
+Epoch 0: | | 39759/? [6:56:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 39760; scene = ['64e10d960da52622', '7f6de4b0a9fc2031', 'fb32daf720b64da7', '5477cf3b49317bb5', '08f858b77d2bf0ee', '435e542f555f0e73', 'a61efdc5c2ede23f', '210b0b6d01486fd9', '739123afdcc19a64', 'c9a65a24a9332e68', 'd4e6772023080da4', '177871dd0267fb4e', '0fa42e1277bcc157', '313fde042dfb3902', '5d2753079e504d0e', 'd5ca6669bffdb84a']; context = [[49, 121], [6, 56], [30, 103], [1, 59], [14, 101], [117, 204], [16, 67], [15, 64], [0, 89], [22, 75], [65, 140], [1, 88], [34, 112], [33, 116], [22, 77], [2, 71]]; loss = 0.012144 low_pass_filter = 0.300
+Epoch 0: | | 39769/? [6:57:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 39770; scene = ['9244ece752e135b3', '9af39f3dadb1471e', '69029690713e2555', 'e94a010d3fca7e95', '4fc84f4cbc499402', '61c1aaa67eea39d0', '0fbc7db19bff42d9', 'dda33970fa3ceac4', '04a6455e9f9ebda0', 'f46fed0d622ad834', '2f4f517fc7044f5c', '7cdd9a947c658d8c', '6558b85c9ac3b0e3', '53753214d3bb288a', 'b9cba9ecbe5545b4', '447469fb50c905b3']; context = [[43, 116], [4, 64], [62, 125], [8, 54], [40, 105], [9, 77], [4, 67], [96, 175], [11, 56], [11, 93], [35, 110], [27, 78], [1, 76], [221, 274], [13, 84], [0, 86]]; loss = 0.012061 low_pass_filter = 0.300
+Epoch 0: | | 39779/? [6:57:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 39780; scene = ['920b80196dc8b79a', '71de6eb329cc96bd', '554eb9150ea16515', 'e8c5fdad60e58a8f', '1bb36d50ab9fd353', 'bbdb60e0097e9ced', 'd1749b42c2b6082d', 'b373737df3e74477', '95b37383d90fba88', 'ab000b4f32ced111', '2ba6db31b81feaf0', '9aad28b8c911c8e4', '7157a08b4d909e22', '7ecf90d498b68283', 'fdcfc70a26b04800', 'b49792086bdd15ee']; context = [[0, 55], [3, 75], [47, 116], [58, 119], [28, 106], [103, 186], [33, 80], [18, 77], [38, 121], [41, 106], [53, 122], [38, 86], [110, 158], [6, 65], [6, 74], [137, 191]]; loss = 0.015840 low_pass_filter = 0.300
+Epoch 0: | | 39789/? [6:57:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 39790; scene = ['c3659122206f5c96', 'bc80d47a3654159a', 'a92d3d27a0305b77', '0ddd867fcc458ad6', '5f1bd21bfc711755', 'a17f771d765f1b3c', 'd63e656427d56186', 'dc87934d7f34745e', '96d49f97fbf3c97f', 'f6240fed8b5ff570', '48484bc80ab3887e', 'ebefd3d3a8cdee66', '3f293c7a896e1d7b', 'b9ec2a6854380d1e', '7bddba236aa29cb9', 'ff0c0d8c4fba54e0']; context = [[20, 70], [27, 78], [1, 67], [41, 123], [21, 70], [221, 267], [43, 111], [210, 278], [5, 90], [6, 54], [108, 162], [7, 86], [14, 67], [26, 101], [54, 126], [16, 95]]; loss = 0.011871 low_pass_filter = 0.300
+Epoch 0: | | 39799/? [6:57:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.50, train/active_min_children_step=1.0train step 39800; scene = ['fb5a80a778281287', '4381e4d03da3a2dd', '8b699056d31a8591', 'a183ebfc0c3dea6f', '96b5fb358789a92d', '6048b574a2da8f7e', '26a9ac76550eb817', '78b960709b194514', 'f643a053978150d6', '9aa9965266925df5', '21486972a7879594', '20afbe6f261cd61d', 'c6362c016a8d8257', '43e8d48009f94e90', '32e9d44c0fefae3d', 'b3f9679d73187a63']; context = [[23, 85], [222, 274], [9, 68], [2, 51], [4, 58], [83, 147], [145, 201], [23, 107], [38, 89], [33, 82], [0, 47], [184, 265], [45, 120], [133, 216], [93, 144], [41, 86]]; loss = 0.017400 low_pass_filter = 0.300
+Epoch 0: | | 39809/? [6:57:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 39810; scene = ['cb171c3ee0bb4bc7', '56d65d47fd196d68', '643cf013e58632bf', '70d878da47f984e4', '63256049c3a581d1', '2636e6766e692274', '23e164d4f8460f5b', '632fdd68fcdced28', 'f7d03afe37f724d3', '6f8d38fe084f7ad5', 'cbfe1854f623ed74', '313aa9c0ac8065f6', '878c7766a4a02e7a', 'b4d90599297b136b', '809ed0f3759beef9', '951a2b9f2e0c99ad']; context = [[1, 58], [43, 117], [2, 92], [223, 273], [10, 60], [6, 59], [3, 82], [104, 176], [139, 189], [0, 48], [51, 131], [2, 88], [2, 53], [72, 126], [150, 240], [1, 57]]; loss = 0.014952 low_pass_filter = 0.300
+Epoch 0: | | 39819/? [6:57:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 39820; scene = ['77ec536967a90c82', '27b36126898f7647', '3a158a1cdbddebcc', 'c5aed9e5140a93de', '397e9da33cc41440', '71cc194ab57517b8', '37e5965f967c583d', 'e994872e832abcd6', 'ef6401c117a2701a', '21d509dc6835618c', '6047d6adad773c2d', 'bd5ba9f0f035e654', '395b6ac27ddcc9d1', 'ebe9dffdbc25573c', '915b529e489a157e', '2040195000efda34']; context = [[51, 135], [133, 220], [12, 59], [125, 215], [80, 170], [4, 75], [0, 49], [10, 75], [53, 140], [28, 77], [115, 195], [99, 172], [10, 100], [17, 70], [8, 98], [89, 161]]; loss = 0.012893 low_pass_filter = 0.300
+Epoch 0: | | 39829/? [6:57:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 39830; scene = ['2c37b4aa102fcb10', '1af13fa31de17e0f', 'c3130fed2437a498', '5ff62b81e127cc0a', '94eaf5be2556470b', '4b03ceeccf23ab01', '67f532ee7b3422e9', 'ebc5a6bd55511e51', '01c2018ab9fca9bb', '8130ec78d068528f', '2535d1b64b03e1e7', '7f13d0519277357a', 'f447bda6e847100a', '4dbe8740d992c3ff', '804c8a7e019f74c9', 'e20bcce405ebc05a']; context = [[80, 127], [8, 91], [170, 244], [119, 198], [64, 116], [9, 60], [8, 75], [43, 110], [9, 61], [63, 131], [30, 96], [25, 88], [3, 62], [7, 60], [131, 191], [36, 89]]; loss = 0.010966 low_pass_filter = 0.300
+Epoch 0: | | 39839/? [6:57:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 39840; scene = ['218e8f36b7cf1179', 'c2df7153b4663989', '761d3028a4027ec2', '6b86d3bf33fbaeff', 'f8372a143e797098', 'acf17336705da39a', 'b08a9a8a1ae3465c', '2191e4743d3e863d', 'b58ad668ed5946a2', 'af11d275959fa201', '1e573707cecc70e1', 'a2aa09aac3869f4e', '28dab8d387301174', '803ea65010dea476', 'd5dc2774d58f65f7', 'bbcefbbd8ed8f8bf']; context = [[4, 77], [1, 82], [1, 49], [0, 47], [19, 87], [13, 83], [62, 136], [22, 75], [8, 53], [65, 114], [4, 55], [163, 217], [9, 74], [96, 183], [7, 52], [83, 171]]; loss = 0.014592 low_pass_filter = 0.300
+Epoch 0: | | 39849/? [6:57:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 39850; scene = ['f64f6c0399699bfd', '82b8c2cd30c09774', '9e2bf052c201f18a', '6e9ef6faaa0df4f3', '0b83cf4cfc094f50', '1f8b98db36be71d3', '24e6a7744c958836', '8a3aa041b2efadbf', '35cbaf6ba07c64fe', '689969f637e2e9c4', '8ab6cf71af10c27e', 'c8618368542826fa', '077f091f15f38a60', 'b9d969fad20ff6b0', '3a53f0f0377f069c', 'e966f6d8d8710873']; context = [[5, 61], [4, 77], [10, 74], [210, 277], [16, 98], [20, 88], [3, 54], [69, 128], [8, 73], [12, 62], [13, 82], [15, 70], [13, 101], [17, 69], [9, 56], [4, 83]]; loss = 0.015656 low_pass_filter = 0.300
+Epoch 0: | | 39859/? [6:57:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 39860; scene = ['40d398cb0fb84bf1', '241a367e7f124257', '878bc34ce9a5c2b0', 'f727b968f8aaec7e', 'f7d91f705d469f6d', 'c54bfe167a0e4773', '79bde1fcb9c993da', 'f10337e17c9ca699', 'd97d4429fd5e613a', '258b9d79b1f313fd', '7f5514d22a7c013c', '964598a02fd77ee0', '9e5973f672d3a4f8', 'b5a1533f624a0e69', 'f2ffc71375ee3698', '88fcc8d52318f926']; context = [[128, 190], [1, 60], [2, 80], [23, 69], [0, 70], [28, 91], [0, 69], [44, 131], [25, 107], [20, 74], [27, 82], [5, 70], [17, 99], [98, 153], [14, 68], [10, 78]]; loss = 0.015158 low_pass_filter = 0.300
+Epoch 0: | | 39869/? [6:58:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 39870; scene = ['671be2fd373509be', 'fa6ba76d65250e32', '656937bc0b7ed9e9', '0ad29fc538b4fad0', 'a6848c8e53f92ff3', 'c87fa710dbf6e1e8', '820153448a81ca35', '7f05dc11f261ac7e', '50dcba6e74327a01', 'bbdc3b1539d28a74', 'adb652bfefe03f93', '51e1d930d39f35c2', 'c0e0f33a16f682e8', 'bffb100ac66d2d6b', '4dab828d09c1dc9a', '7658616d6f86ca40']; context = [[4, 68], [7, 82], [19, 77], [34, 115], [15, 63], [37, 84], [2, 54], [169, 243], [1, 53], [18, 87], [86, 155], [44, 130], [44, 105], [1, 46], [8, 73], [1, 76]]; loss = 0.013502 low_pass_filter = 0.300
+Epoch 0: | | 39879/? [6:58:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 39880; scene = ['54f675ec7c77eddc', 'c97f679a709b82c6', 'ec4e714f7395a1eb', '2eca7531dfe64718', '5fe68cbad1ba362a', '5bf6af1c8f1411cc', '3ce9e01d528feece', '92fc9155096037b5', 'cab39c57f4fb83d1', '13283683b367e1b5', '3130a93a55e57311', '71298309a15011c5', 'a85ffdb212af77e4', 'a74e53b2f18f428c', '8f15db48485ccb0e', 'a4b936041ff1684b']; context = [[57, 132], [45, 118], [50, 113], [47, 109], [91, 151], [165, 233], [0, 72], [18, 92], [4, 61], [66, 140], [33, 112], [37, 115], [3, 56], [115, 160], [14, 101], [27, 77]]; loss = 0.012302 low_pass_filter = 0.300
+Epoch 0: | | 39889/? [6:58:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 39890; scene = ['a77535785a79e60a', '3291a7e78e54162a', '556296590f552c92', 'f6049e9206445781', 'e4230c118f07c919', 'a142901b8a2421ed', 'e626cfbe73b265ff', '6a06b29373391c2a', '2004d220029debe9', '57b5268c98e7308f', 'bf757b6db55a034b', '5376bb67b77e8b59', '963b4755148b46f0', 'e228a6735eb00c28', '26f28a50f0267b3e', 'af273a69275eafe8']; context = [[13, 85], [143, 226], [15, 85], [12, 94], [102, 164], [143, 219], [0, 72], [6, 51], [20, 76], [6, 87], [1, 49], [0, 48], [0, 72], [12, 80], [120, 172], [180, 248]]; loss = 0.014376 low_pass_filter = 0.300
+Epoch 0: | | 39899/? [6:58:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 39900; scene = ['e34447ddccfc88ff', 'ff189499a6ed28d7', 'ea4914670ba6d0e9', '377453fbb03976e6', '1535cb9280277aed', '40eeb4602dccc097', 'b0fdd7634bc50a1a', 'ea8df2691a453116', '8cdb8f46a81be582', 'ca8a288d4f798d7b', '59487394e4fdc36b', '584059f95310ea42', '3a35983802667459', 'cf8653d94cf8dc19', '560bd1ba2a1f52ee', '48f532b78845c6d4']; context = [[40, 95], [31, 100], [14, 83], [0, 63], [8, 64], [9, 78], [1, 71], [24, 81], [192, 266], [28, 74], [40, 119], [13, 69], [98, 182], [40, 110], [1, 63], [12, 101]]; loss = 0.013683 low_pass_filter = 0.300
+Epoch 0: | | 39909/? [6:58:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 39910; scene = ['17d8d9419cdc2d4e', '90af47b784746da8', '224077c8876d132b', '714ac52a46a29820', '8f5de70392859ba1', '978b213631462dad', '7e8630a890a85545', '4212b51144518ed4', '8906b9e330be94d1', '7aca142562284e3b', 'f5f5c6090e031091', '99174ac47256f0e0', 'b266226a3d237e80', '37053ecd72a3c47d', 'cb089fc0fae599b5', 'c2b8b3e74c64553a']; context = [[48, 105], [15, 81], [18, 91], [3, 49], [38, 94], [8, 54], [0, 80], [0, 72], [14, 96], [59, 124], [0, 53], [176, 256], [17, 101], [59, 110], [0, 50], [15, 61]]; loss = 0.013017 low_pass_filter = 0.300
+Epoch 0: | | 39919/? [6:58:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 39920; scene = ['f8c3a09cbaf34127', '4d54607d84367b0b', 'b13da9a943f94e03', 'ec6d1d72cc597748', '02873a084fca3e53', '5ec2c030733df55f', '8e01007ac5b9a2d4', '711049f79f182de4', 'c51c7bc0c8151abb', '6e46379a7ad5ea92', '64596f1845d89dc2', '30635ca8f58d53fb', '5e28f56e00a41125', '5c7e81ed74cd0615', '783cc6843cfac78d', 'f1b5a6dcfedb390c']; context = [[0, 61], [12, 71], [3, 48], [32, 77], [46, 111], [1, 69], [202, 278], [57, 112], [16, 74], [92, 154], [40, 108], [7, 60], [1, 82], [0, 45], [86, 149], [60, 140]]; loss = 0.012852 low_pass_filter = 0.300
+Epoch 0: | | 39929/? [6:58:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 39930; scene = ['3543eb57e969e42c', '2e34a777e9a0b80f', '273db1a0a32fc03d', '4e294d9c40943e46', '6faafc61a9ff1d4d', 'a546fe66f33a972b', 'b4ed77fd07f1b8e5', '3cca2a2fcb0a67a9', 'e81ef6766893c5f5', 'cefc36d11fdca344', 'c5ec7eb6c091d9d1', '03df529a4693d5a8', 'cd172e0c6608b02c', 'cb5ed5a3098961eb', '6928a1eaa4fcf378', '11757f3ec2030362']; context = [[124, 175], [22, 68], [32, 113], [17, 83], [30, 113], [30, 111], [0, 86], [24, 79], [103, 165], [88, 151], [19, 104], [17, 77], [153, 212], [24, 83], [10, 67], [9, 92]]; loss = 0.015379 low_pass_filter = 0.300
+Epoch 0: | | 39939/? [6:58:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 39940; scene = ['206c406cbb54c9d6', 'f0680c43c5c34858', 'a0e621ae35148a18', '11e65baf9b07535e', '1c50722fddad9593', '4385a3b16d321702', '51df571bb0616703', '27b9b6d8520b476c', '28da1359e6e9937d', 'ec9f85b999210b88', 'a00596889eff80ec', 'aaf4b6a6c76d8a68', 'd2e2e0f87a76b2f2', '6a8946f40c5ba52a', 'd82bcdabe3787609', 'a6e8cc974461b26c']; context = [[11, 75], [57, 123], [36, 83], [4, 51], [25, 73], [0, 55], [150, 225], [9, 72], [10, 56], [53, 126], [81, 140], [97, 159], [27, 82], [21, 85], [2, 79], [4, 73]]; loss = 0.014031 low_pass_filter = 0.300
+Epoch 0: | | 39949/? [6:58:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 39950; scene = ['e15edf23057a8d22', '97aadc6224b10d88', 'a1125de3eae618b5', '758fbb99ce75e055', 'afb2f085458ef6a7', '64551d7f5ca63308', 'e04b46b3d9d24d99', '685c6554cc4ef693', '1c4877eefa482330', '3850b605afef4fdb', '63a8ae5fdd8d4ef4', 'fbb1b75783056c76', '0e6c59e9cacbe147', 'b1f1c12f0c454973', '87e1fbed34285e0a', 'b0d138fdee349f71']; context = [[21, 81], [165, 226], [32, 119], [22, 112], [7, 75], [85, 130], [19, 104], [186, 235], [15, 103], [2, 64], [40, 130], [19, 77], [10, 63], [31, 106], [23, 86], [9, 61]]; loss = 0.010999 low_pass_filter = 0.300
+Epoch 0: | | 39959/? [6:58:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 39960; scene = ['3c3b89dd371b0d05', '72ec25fb48f08d76', '235eaad47ef70bec', '3352936c57a1d3c9', '022dcc77d485117a', 'e3f73504a970f9c5', 'a80f041ba46868b2', 'd3c598f77123d75d', 'aae4f7cf0484ecf4', '91c166ec1a40ae2f', '0dfc17fb05d37999', 'eb1aae21845c22aa', '54b523ecf498725f', '6137edc44b258c7a', 'd5e84d05cfd4db30', '46caf0405acfa1d7']; context = [[63, 133], [101, 186], [15, 61], [19, 97], [122, 182], [10, 88], [108, 168], [5, 63], [71, 141], [71, 143], [4, 53], [110, 186], [0, 88], [19, 81], [1, 82], [32, 111]]; loss = 0.013647 low_pass_filter = 0.300
+Epoch 0: | | 39969/? [6:59:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 39970; scene = ['7432f21de1ef4c33', 'd77284dc9b9d1031', 'f14721fab585c585', 'd011c2b2ac6ccc0d', 'b0ae260af883656f', '4412131879034bc2', 'ee28455c2e76ef79', 'c270572a7f5ea828', '8532e67cc838fd57', 'd307fd3627868961', '3e5be5ea98eca2ec', '1096d576fca73995', '89182bbf4b3f1b98', 'ccf546f5a8ea9cfc', '50a38c69abd2a064', 'f86b62c904dff358']; context = [[146, 233], [124, 193], [0, 73], [6, 77], [2, 74], [10, 55], [46, 126], [66, 153], [42, 125], [54, 115], [9, 57], [21, 83], [3, 52], [6, 61], [23, 96], [0, 64]]; loss = 0.013357 low_pass_filter = 0.300
+Epoch 0: | | 39979/? [6:59:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 39980; scene = ['8883b081c8df25f8', 'cdd496a409f6a97d', '15483fcbb279e05f', '871167c9a17766ac', '5adbb5c1b466fdcd', '4810fdffa87c36f1', 'e44b389e002db5e7', '472769038b06eac3', '6e134a43dd944704', '9e0314ddf81cdcd0', 'dbb06d677a5501c8', '28b29bfd875bf3a6', 'bf716993f39b898d', '19a0fa00797232dc', '4b5c8129d9ac9a20', 'cf018687808f36d5']; context = [[94, 141], [18, 66], [3, 56], [17, 89], [83, 172], [0, 75], [30, 103], [8, 66], [92, 154], [49, 116], [66, 140], [199, 246], [118, 177], [19, 77], [193, 275], [0, 72]]; loss = 0.017640 low_pass_filter = 0.300
+Epoch 0: | | 39989/? [6:59:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 39990; scene = ['12a8561544c97948', '19b814f8c03eeecc', '9a072cba9997acf1', '08011a68f39ca0f4', '25a35d6bb3d58a7a', 'dc340f8aa416f839', 'b915146b10f26355', '3485e4776717068a', '7f60555b6995c522', 'ff5a148b852949ec', 'd63b84db0b35d04a', '490710a2cacc8268', '6b549d67d37b3d6a', 'cf6a4349d0ffdfcf', '94f20b7d0165bdbc', '069c535d11d48564']; context = [[22, 85], [41, 92], [15, 86], [6, 65], [0, 48], [68, 118], [195, 270], [1, 60], [3, 48], [100, 156], [44, 95], [71, 142], [96, 168], [65, 142], [2, 54], [37, 88]]; loss = 0.012729 low_pass_filter = 0.300
+Epoch 0: | | 39999/? [6:59:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 40000; scene = ['f51e68c38531b235', '4259c6abf4c8c3e2', '1d3ccb58aefb0ad8', '6315df5198cccad4', 'e32ddf4210732a55', '673cbe9d1e7a18bf', 'a66aadfbd6edfe93', 'e03c1f0fb97d8883', 'e3a3ab3176518449', 'b3fbb1c074d470cb', '8fe6257e14ab51e3', '290ed4dc1362e5cd', 'b32bc68eca8088e3', 'd07dd7aa80d96200', 'ff127b11311493c5', '587777b4568060b4']; context = [[208, 276], [197, 252], [7, 79], [5, 53], [12, 81], [149, 202], [10, 65], [58, 103], [87, 149], [118, 173], [102, 191], [72, 153], [5, 62], [14, 72], [7, 78], [0, 46]]; loss = 0.011517 low_pass_filter = 0.300
+Epoch 0: | | 40000/? [6:59:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0validation step 40000; scene = ['645cc7949386d427']; context = [[39, 85]]
+Epoch 0: | | 40009/? [6:59:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 40010; scene = ['9b016b455aedd9f4', 'a327313124fbe104', '9a946a8ebf61333e', '50a4ace65f0f7248', '2b81385e2988e8e5', '3d1fcbb234f1fb6b', '6baec9484ce06cec', '0708442894bdf82b', '33798cfec7e5b369', 'a9662f57d649f1ad', '45558f26f144f12f', '1b044b8921702a81', '36ba861c69c13e95', 'dfedfa0416a49813', '6dbe25bab31fe746', 'a5ee03afbd166037']; context = [[17, 65], [75, 125], [50, 125], [61, 136], [10, 95], [36, 93], [51, 105], [0, 58], [0, 62], [26, 98], [15, 84], [7, 66], [53, 108], [57, 128], [32, 86], [1, 77]]; loss = 0.014647 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 40019/? [6:59:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 40020; scene = ['4a640e2c24d90419', '90c1483c736e3b41', 'f66ad09301a6df7f', '60531462424bd617', 'e8ce258cf5f7231d', 'b10e2cfbec255d44', 'ef3467589fd3709e', '220133e56a34968b', '2ff7d3d179ff2ed0', '965f0970da310cda', '5f1fbee3e97e7470', '8624d94ced8a1d8e', 'ecbf048504e09969', 'd7fd0247a853f44b', 'dccef2390d0b6851', '795b958ce87d556a']; context = [[5, 64], [37, 100], [20, 87], [6, 93], [6, 74], [0, 47], [43, 88], [30, 93], [10, 91], [24, 82], [0, 47], [0, 56], [19, 70], [80, 150], [84, 157], [48, 126]]; loss = 0.014153 low_pass_filter = 0.300
+Epoch 0: | | 40029/? [6:59:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 40030; scene = ['283d19ff3706f2b9', 'c38d6a55cd1b57e0', 'f61787a6705d3600', '10bbf86e1381ff4e', 'a77791451d3b6b29', '8f9b2fc1d42464eb', '43bf5c9853912e6d', '3f7f202a7d0b61fd', '03f2504123909705', 'f7ce09fbe4576358', '246ea07f84d23963', '682ad474d6d76c69', '37bc704ab2d09963', '49352807c804e770', 'b02cadd45b078f81', 'b903f35fbb538e4d']; context = [[10, 95], [18, 65], [3, 74], [63, 112], [0, 48], [203, 255], [9, 92], [14, 93], [10, 62], [27, 107], [9, 90], [35, 97], [110, 193], [70, 116], [41, 106], [0, 81]]; loss = 0.016449 low_pass_filter = 0.300
+Epoch 0: | | 40039/? [6:59:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 40040; scene = ['c6b6fd1b424ed025', '2f7d98a1e986c181', 'f7e79497f057648b', '6058acc54db141c5', 'a93a506788789a72', '6053fe94ff738118', 'ca125d684e6771b4', 'a258d9b29e7b3b44', '931da18998918488', 'a5de97e3a325e6e0', '3e94e736d15703c8', '436e4e1b7504931b', 'de33a86974a575b8', '470dc27c2123d25a', 'b56e5327da27836b', '13c7f39126781299']; context = [[90, 165], [52, 131], [3, 50], [55, 119], [16, 76], [4, 62], [14, 91], [47, 93], [27, 91], [6, 85], [4, 64], [4, 57], [18, 80], [29, 79], [22, 90], [4, 65]]; loss = 0.013144 low_pass_filter = 0.300
+Epoch 0: | | 40049/? [6:59:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 40050; scene = ['18da11c0260b33fd', 'be13212a82b93b85', '9b016b455aedd9f4', '0cc8f2797b38bb96', '81e94d78e4044500', 'd189eb4b6fd8a3f7', '333d47c166aad666', '4db07c5caae67701', 'a05f322adda6b100', 'f497c3291a3d7a10', 'ce52e2bf6dbb72d7', '7cfb911c40da361b', 'a829ffde6c53aa8c', 'ab36eedface7b474', '5e62a890cb5a023a', '84ca721f253dde85']; context = [[97, 187], [2, 63], [0, 67], [172, 240], [15, 78], [0, 79], [2, 49], [84, 149], [0, 45], [2, 56], [5, 55], [13, 60], [4, 51], [14, 65], [73, 145], [191, 263]]; loss = 0.015837 low_pass_filter = 0.300
+Epoch 0: | | 40059/? [7:00:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 40060; scene = ['e028a26891c2937a', 'a57d7e5785d46fea', 'a5d34020cf7cacbd', 'bfa559b4958cc3f0', 'e73c3c5ae18982a9', '2cd72af45b4093cb', 'b6f646046b2a6c12', '1fbd3c030aafef5a', 'efcc02500ae5f63a', 'e6bfff9f049d72f5', '04d49eaed769debf', 'ce267807e6f8819a', 'b00f502f468fa5e1', 'af3899e50afdfa9f', 'bef682a92ce892d4', '15c33c76f8a7238e']; context = [[10, 61], [2, 72], [18, 93], [7, 81], [1, 58], [49, 102], [9, 66], [48, 120], [2, 68], [59, 148], [25, 114], [7, 68], [17, 75], [29, 90], [4, 71], [2, 61]]; loss = 0.017622 low_pass_filter = 0.300
+Epoch 0: | | 40069/? [7:00:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 40070; scene = ['7bf6bf856323ad9e', '61ea2a13f9b54139', 'fbc7417c49f03ebd', '604629605df53513', '5dc337c78c9c2f4e', 'e2f3157c10aa655b', 'b69975c3fd6c9bf6', '61fa76215dfcaaa6', 'aa2c714ead9d4071', '1df539eeac09987f', '312bff60ce38cd77', '4b1ace7056c3ef7c', '5357eb29cb81b3fa', '7567fe94d4fba9d7', '68d0e78200de8dbf', '0ea03727e64c2e53']; context = [[2, 54], [179, 226], [0, 48], [82, 149], [21, 76], [45, 120], [159, 230], [117, 200], [53, 111], [1, 91], [14, 69], [6, 57], [13, 67], [7, 70], [158, 241], [50, 98]]; loss = 0.014714 low_pass_filter = 0.300
+Epoch 0: | | 40079/? [7:00:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 40080; scene = ['2e55ab3c0ff07376', 'bbfeedf36bd2d073', '2c954aa634c62bca', '0cb6c016d1847e2b', '4af1a22dbe5a4dd9', '12df9d7691f772f4', 'b7abfcf85c78a026', 'ae3afdfbc0bc425a', 'ce48d9a911def68d', 'eb73f61840088d85', '52d5d1869f7823d2', 'd1cf87c280d497c0', 'e695402faeb3ab60', 'b69c9212fed0dbb7', 'db683f6705440884', '60ebe67fcdbb0767']; context = [[22, 98], [126, 181], [1, 59], [5, 56], [38, 101], [67, 123], [14, 91], [5, 50], [26, 94], [91, 150], [1, 49], [27, 80], [39, 105], [22, 69], [6, 76], [139, 223]]; loss = 0.012904 low_pass_filter = 0.300
+Epoch 0: | | 40089/? [7:00:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 40090; scene = ['20dfa4587a409364', '356fbd4ee25801da', '0f53e6296db0a94a', 'f2eff02be31d3029', '434b3a30abfe4381', '7bb57f9bffa7af3a', '40f9b679391e2660', 'fd989548b2f0f152', '0da352ea180f4ee6', '865cc4f5f41f267f', '49b4d776ef1172e5', '6ece240cc296cc8c', '3366ad5416280502', '9a96d9b88ba1dc84', '8a4b619c1e948fe6', '5e04e63ba395b833']; context = [[25, 86], [36, 97], [10, 67], [148, 211], [19, 86], [12, 69], [1, 87], [39, 98], [19, 68], [87, 166], [22, 82], [39, 108], [133, 178], [6, 76], [90, 166], [83, 162]]; loss = 0.015413 low_pass_filter = 0.300
+Epoch 0: | | 40099/? [7:00:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 40100; scene = ['efb590fd4b4eb0c5', 'fd2442595faa2d01', 'a65c18f99fcf5f82', 'e3e2b1c90271d8e3', 'fd5aa11dc66a75c3', '7df242a9c4144216', '9bc08616571aaf44', '26c1372d50e49c83', 'c3bbcee94ab6ff1b', '7173e6107342f9bb', 'e2eabf4e6e9c8fff', 'b8e21d629c0dc76b', '54cf901f43d77bb2', '093c78c8a4198bfd', '13f84c9e46eb697c', '92971b350374bdb9']; context = [[4, 72], [8, 56], [29, 76], [113, 201], [18, 92], [9, 56], [9, 72], [72, 152], [68, 115], [14, 60], [34, 81], [9, 83], [3, 60], [198, 264], [185, 251], [4, 56]]; loss = 0.014528 low_pass_filter = 0.300
+Epoch 0: | | 40109/? [7:00:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 40110; scene = ['4c4d124d1f671bbe', 'aa98ba648f00f90b', 'd87f8c80487a87d3', '3ca8e7f6cb2ca789', '0bdc05cecd6d5db9', '7283600069f26aba', 'ab3c1a4e030f48fb', 'd29f3650968bcc8f', 'd216bacfae811c2c', '1a62c49c1a96a7e4', '2b92610ff58808bb', '81d9a45e3752415c', '772542fd431e3a6d', '75c2593da6db5b51', '2a6c45965d00e73a', '36c270e51079b9f3']; context = [[32, 84], [125, 184], [61, 114], [3, 71], [8, 70], [0, 55], [12, 76], [13, 61], [75, 121], [1, 58], [4, 71], [29, 75], [18, 88], [24, 79], [0, 55], [6, 91]]; loss = 0.014599 low_pass_filter = 0.300
+Epoch 0: | | 40119/? [7:00:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 40120; scene = ['b31aaf00447c4ebf', '2b15d2104d444b68', 'd4b69051df78f431', '0a6cec37175b38a3', 'cd5b94f8cb32cc79', 'c99aa7df2058b71d', 'f84512bfae8c1a78', 'e5d56dd99ff3624a', '6be29a69562abd4f', '872c81315122fce4', '16871758b1831d59', 'bf0fa530693a0482', '666c37ba7ac3085d', '8ce50844cac30a9b', 'a2aa880feaa2168f', 'd77956ef6cbdf5fe']; context = [[23, 101], [41, 117], [148, 224], [173, 231], [3, 54], [0, 46], [6, 54], [17, 96], [11, 57], [134, 184], [10, 73], [4, 92], [41, 99], [1, 67], [19, 70], [152, 216]]; loss = 0.015299 low_pass_filter = 0.300
+Epoch 0: | | 40129/? [7:00:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 40130; scene = ['1414e41b4c8f32e3', 'd6c5625f80389208', '0aaed15800682a1b', '0027e46f749ac7ec', 'ae2494640cbc0678', 'c235beae7f32275b', '3d571ac9d490075d', '8b1b695c79061c29', '19d0ab2aa711ec3e', 'fc5f909a6e21d8fd', '74a8f11d5d29aab0', 'c4f04d00df876c55', 'b38453d092cb760c', '9452b026b0d20cad', '5c5694be61ffb755', '2fcc80596aca14cc']; context = [[77, 146], [19, 68], [10, 87], [5, 82], [85, 164], [66, 133], [21, 83], [59, 149], [0, 68], [58, 126], [2, 49], [85, 161], [22, 83], [5, 63], [11, 56], [83, 157]]; loss = 0.017056 low_pass_filter = 0.300
+Epoch 0: | | 40139/? [7:00:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 40140; scene = ['a356dab14e5662de', '001c43a59a9e0b16', 'd1c6899b6c6ef917', 'ea30bf8a65e93961', '019bf9d48f4362ef', '707548393b4bc8a5', 'fb6364b47d824180', 'd450bfc8d4fd93fc', '0c2a75ad7d5b971d', '67fcd56243f81f4f', 'dd5ed29765330d4f', '21638997ab0430ad', 'd60d506eb1bebd6a', '900bc6e39af26c05', '4763370f2ce77179', '046fb9f668ac6b20']; context = [[0, 78], [62, 113], [22, 71], [1, 54], [112, 197], [17, 107], [170, 225], [0, 46], [27, 78], [205, 257], [2, 89], [179, 265], [2, 63], [25, 93], [0, 61], [204, 263]]; loss = 0.016790 low_pass_filter = 0.300
+Epoch 0: | | 40149/? [7:01:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 40150; scene = ['47beee9ab9369688', '75a0c4f62041e703', '529e2387fa3fb753', '8a992755a8cf4051', '7addead467bf9cde', '2a97804c2c08b819', '60f5e5607086c08a', '72a33dddf16c6f4d', 'c9fd47052ffbb2e6', 'b0d028f08185a675', '4845388530a74505', 'ebb7dc16b320e609', 'f99aafb53f76f519', '0546b901d6b75353', '1cb6b3a29a639e63', '9507201d84c13ca2']; context = [[17, 75], [123, 186], [5, 65], [205, 273], [18, 81], [83, 158], [100, 179], [41, 104], [3, 70], [41, 87], [31, 82], [2, 47], [33, 123], [8, 55], [1, 56], [84, 164]]; loss = 0.014465 low_pass_filter = 0.300
+Epoch 0: | | 40159/? [7:01:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 40160; scene = ['55bbd93d2b19cf59', '4102c95a9026d0ee', '5f07e3aa7ddc5cfe', '3c3a350286d1a451', '8f669ff171c957d2', '732acd98ac4197e6', 'd91559082466defb', '871c71dde02c52fa', '4b504ddf07df3c29', '98158a10ba43e6be', '0972b63d6da3abd4', 'f9e292d0f35004b8', 'cdd401649a7beba0', '9213a5b7938cc603', 'e5f2814df3d67c3f', 'c48ae441e013959b']; context = [[62, 131], [8, 69], [73, 139], [55, 134], [7, 67], [22, 82], [49, 103], [1, 57], [0, 68], [3, 49], [65, 126], [3, 59], [49, 113], [6, 62], [11, 69], [3, 73]]; loss = 0.014169 low_pass_filter = 0.300
+Epoch 0: | | 40169/? [7:01:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 40170; scene = ['3670d3f2b5b53c15', 'b2a77d5fd2f6f773', '3d7f5076c683cc80', '420b61967c60d09b', 'd27399ddbb98483c', '0c25875ac5440b66', '5b39212a0664e8c7', '22b97501681b7458', 'a74acf99e81d7a6e', '0f97723fd22c07c0', '0836698809f746c6', 'ed738053c763cacf', '3d3932e7b0f32ed9', 'df4487db098d93f1', '9fa10cc1b8441d3f', '0677dd32bb63e07a']; context = [[24, 103], [66, 119], [78, 144], [2, 56], [47, 100], [7, 87], [76, 155], [2, 53], [18, 92], [35, 106], [5, 62], [16, 93], [76, 125], [5, 75], [10, 56], [61, 125]]; loss = 0.015182 low_pass_filter = 0.300
+Epoch 0: | | 40179/? [7:01:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 40180; scene = ['5fe433edd795adfb', 'b4b4807fc6898e5e', 'c97d0f5fbaaf615d', '1d037447cfff7209', '9776817798733916', 'b3574acd3997c5bb', '1160b234bca769f7', 'c79300dcf820a440', 'fd7b3e3396405640', '43ea9ccfb810c95e', '650fc57aaa47f58f', '6f55908e4754d1a7', '667e170408666a5f', '61137e11cabd44f5', '4cddabb139987e72', '31ac71f24d9c5355']; context = [[0, 68], [31, 114], [70, 121], [160, 226], [2, 92], [99, 179], [0, 52], [39, 102], [18, 73], [1, 56], [95, 164], [11, 98], [0, 59], [116, 187], [20, 110], [99, 182]]; loss = 0.014837 low_pass_filter = 0.300
+Epoch 0: | | 40189/? [7:01:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 40190; scene = ['e033e4b75d4f8b5e', '85082ee2008df25c', 'e67c69743b27b7f4', 'e7b5b41ab8ad84db', '1281a0b56433e41c', '51e9e7382a4da6a2', 'ae4c14039db4774d', '1944afb329556c51', '9bb663877d8eec8b', '8410dce443ac9326', '86b72434fee7dfca', 'c30dd2842182535e', '52390a8e0a93777d', '8bdd85938435b5f5', '6107b5fe3c284b8e', 'e14a0623f8f3148b']; context = [[80, 140], [4, 70], [17, 87], [44, 129], [0, 48], [53, 134], [63, 149], [83, 129], [23, 106], [30, 104], [0, 63], [0, 53], [9, 77], [21, 80], [17, 69], [4, 68]]; loss = 0.015684 low_pass_filter = 0.300
+Epoch 0: | | 40199/? [7:01:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 40200; scene = ['50b38521b86dd7b6', 'b01937cfd4e1a877', 'ba51fb621ff7c33d', '5f649a9466de2d38', '8084d224519a2f6e', '19ac7a3b66749f73', 'bbcab594f1ff6adc', '5c2211c580a15c8e', '75fcc52ab87960c9', '5ce952ce5c723211', '39c37c7704959e01', 'd65d1c338b73d0ba', '9482b23b70b9b147', '14444d4edf99e35c', 'a7fe1e367a54260c', 'cb6a581957b0a925']; context = [[169, 251], [22, 82], [1, 84], [83, 156], [14, 79], [5, 79], [13, 73], [16, 63], [57, 116], [16, 97], [56, 108], [20, 104], [42, 99], [22, 77], [42, 89], [84, 150]]; loss = 0.028488 low_pass_filter = 0.300
+Epoch 0: | | 40209/? [7:01:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 40210; scene = ['4353a602b8632521', '7c9b792d56888acd', 'e051ee18fd66cd1b', '2b02c5424369025d', '3dd46bd829fa026f', '86f9daf0ed9c7901', '8e60a3c602d2470f', '6bb6aeb2cdbc2280', 'd93dbd6c7758a61c', '07eae4841b2c900b', 'b6c09e68122ca0ed', '4d93b0a1d23b35e1', '29f20f745483699e', 'f6f9e1143d780e3e', 'cf53d87ab9557801', '6dc467961a80bdfd']; context = [[17, 68], [9, 91], [20, 77], [0, 54], [11, 58], [0, 79], [3, 91], [163, 211], [12, 73], [5, 52], [21, 84], [48, 115], [2, 81], [36, 94], [69, 120], [79, 169]]; loss = 0.015311 low_pass_filter = 0.300
+Epoch 0: | | 40219/? [7:01:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 40220; scene = ['0066ed3711a7240d', '99e9f09b456ef23e', 'b07a54eda9cdaccb', '629f07baec1cbad5', 'd7ca14c855d58875', '0f0bbb6510ca3018', '7e7b53917bcf337b', '1a0f85fd8b2981b8', '3ab77edf1ebc9d0f', 'b1026413a8dc3f73', '3c5fb699269c6353', '12a9071fdbc06fee', 'ff41f8b6a0af9382', '283b240cbd81ebc7', 'c05a6c1249a7fc86', '96594799c47beb71']; context = [[76, 133], [21, 68], [8, 71], [119, 174], [77, 122], [5, 79], [198, 254], [20, 81], [71, 116], [95, 152], [184, 232], [166, 218], [145, 211], [2, 59], [127, 197], [2, 75]]; loss = 0.015723 low_pass_filter = 0.300
+Epoch 0: | | 40229/? [7:01:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 40230; scene = ['e12ccd28d49f666d', '9ba0f4168b2d242a', 'cf5b1506adcb6135', 'c05b6cc9ee0c581f', '3f5e297ec24429f9', 'eccb0e9a51453bd1', '1e3071384cdeaa3e', 'fef14a80de510898', '210c8a7a9d409024', 'eeb7b882f1c6ef45', '7e5b418ccd14e32a', 'ee908f5ea8bbbc86', 'e113005fe37132e4', '4b697e58adeee999', '85a0f956742534ed', 'c79614eb3afc854a']; context = [[8, 86], [17, 80], [38, 87], [37, 119], [27, 80], [27, 85], [20, 83], [5, 58], [98, 177], [8, 57], [19, 79], [11, 73], [4, 94], [129, 197], [37, 104], [20, 65]]; loss = 0.015452 low_pass_filter = 0.300
+Epoch 0: | | 40239/? [7:01:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 40240; scene = ['ab7014fa0e77a4d6', 'a519a1c84e497e27', 'c79614eb3afc854a', '85a0f956742534ed', '1d5cc6c50380f3e6', 'bb9f176934162282', 'c2b41c1750f8d948', 'bf586bc4ea216393', '78c72248de577d3c', 'f3d8bc3e3a2a6668', '49785c87f850df60', 'd57b42a6459958d7', '43e705210ed8541f', '054ae374f61c2e5f', '52d53805a8557ee3', '4b697e58adeee999']; context = [[47, 127], [33, 115], [2, 82], [87, 146], [2, 92], [12, 83], [4, 73], [107, 154], [7, 66], [0, 55], [1, 48], [17, 90], [18, 84], [41, 111], [14, 60], [162, 213]]; loss = 0.013857 low_pass_filter = 0.300
+Epoch 0: | | 40249/? [7:02:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40250; scene = ['e9ae04619bdeca8d', '527b770f013226a0', 'f76a6ad52e523d83', '9ca43d3bcd6f4271', 'ee5e43c838b7d0b7', 'f855bcdf0905e766', '00db55a7dc4058d5', 'f89c2c0a4e19342d', '0d69cae367be4194', '4299294e7a4345eb', '4f6fe1053f3ec911', '052e08883e9f24d6', 'caffe3c2bd9d8aa1', 'f2154b1776404490', '93501b3f6ff7be70', '59e7b57c2b3e5193']; context = [[135, 217], [0, 73], [50, 132], [149, 197], [0, 68], [12, 73], [0, 61], [4, 82], [14, 81], [16, 70], [49, 136], [33, 82], [161, 231], [30, 82], [55, 111], [0, 83]]; loss = 0.013558 low_pass_filter = 0.300
+Epoch 0: | | 40259/? [7:02:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 40260; scene = ['6b503257ae05df64', 'ba5f37a10c6dd859', 'c177284557cac835', '7a39bd58ec1d2ccc', 'fc46fa9bcb31d151', 'c54a9bc3c2a962cd', '230f1a4b17cb49cc', '31e401bb67efe674', 'a37837d87e1e6ad6', '667babf0fad704e2', 'a21663cc408933b1', '6452d5b59b2695e6', '4b34ce926aea892f', 'd8572a43b047b30e', 'e266859a380b328e', 'e0bbf0c641a19362']; context = [[189, 237], [41, 94], [157, 205], [33, 83], [135, 189], [165, 221], [84, 150], [8, 74], [98, 148], [5, 94], [58, 120], [6, 87], [12, 91], [36, 81], [34, 79], [4, 86]]; loss = 0.013879 low_pass_filter = 0.300
+Epoch 0: | | 40269/? [7:02:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40270; scene = ['5f8f8bae3e8c4a23', '69aa625f9673c808', 'bd439bb9d45c1125', '9c3cedeaa32f5a18', '8e9f01760ce55500', '7f19608dbd224ae1', '107282574d3d3d81', 'b297d356faaa851c', '6c05072fc93c82ad', '02a09f4cd8883e9a', '32bf8ec9f3bbc2e8', '1ccdcddd921c7cee', 'dc6e93dd0db2bbd1', '9d918ebac87bdc1a', 'aafcd3585216b88e', '011bd92a275177b8']; context = [[1, 58], [17, 99], [69, 137], [38, 85], [2, 69], [54, 103], [11, 100], [10, 79], [44, 116], [1, 58], [33, 85], [55, 107], [50, 119], [0, 78], [27, 117], [1, 48]]; loss = 0.014445 low_pass_filter = 0.300
+Epoch 0: | | 40279/? [7:02:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 40280; scene = ['5a013cbb504f1af4', '3bcde1edefccda53', '8a3e53e6daac0cd1', 'af8122c66180771c', 'b7003ac834dc298b', 'a3867b242a8e5e8c', 'b7f9c567a87b7c9f', 'd34d184b1a47375e', '38ca720551960c1e', '0f6bd079d46bebe9', '10477ed0034007cf', 'b6dd69cee72df5a3', '6ecb3d64666d856e', '4a20d98d25ebee11', '481212cbd2a63d82', '753238098c2307cc']; context = [[16, 93], [79, 136], [0, 63], [21, 110], [4, 53], [37, 100], [1, 89], [15, 99], [12, 85], [20, 97], [69, 158], [1, 53], [34, 120], [35, 88], [70, 159], [61, 118]]; loss = 0.021050 low_pass_filter = 0.300
+Epoch 0: | | 40289/? [7:02:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 40290; scene = ['741ebac263e5509b', '031f129ff5a92a4c', '368b3473d60b6385', '0fdcf15c9429e174', 'd029278cfa60deff', '7cf2d074de115901', 'a6605b602a72b885', '5fc275a365d27e01', '2f66a0b10f4cfdfd', '64f7269d99fdaacd', '084d516d1d8aed07', '45f3a4d8c751c287', 'a1194953642b874f', '3691359ea56c00a9', 'e02e0c84614d4150', '6535abc5fdb5b232']; context = [[100, 173], [5, 58], [3, 55], [116, 205], [37, 90], [1, 73], [9, 57], [46, 116], [21, 104], [14, 75], [103, 192], [14, 90], [15, 84], [3, 48], [148, 203], [27, 88]]; loss = 0.015605 low_pass_filter = 0.300
+Epoch 0: | | 40299/? [7:02:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 40300; scene = ['21498fbe61ca3974', '4c01186382ecdb09', 'd69dd8917d2e2142', '6854cdb73b5a95d4', 'f139ab06e65c3762', '7d23814998002eaa', '83ab839d8677c959', 'b01466523e734f6b', 'd4e60c7364b2a678', 'c5efe399fc5b5484', '2afa9fb38e8ed969', 'bcb1b35c603efea7', '3b7938eaf2733a31', '02f5bb43339068c5', '17e26092b16e2f53', '93677620c60531d6']; context = [[24, 84], [199, 272], [10, 69], [3, 75], [24, 75], [84, 146], [40, 92], [193, 277], [5, 62], [28, 113], [41, 94], [0, 68], [97, 168], [41, 115], [60, 113], [7, 65]]; loss = 0.013500 low_pass_filter = 0.300
+Epoch 0: | | 40309/? [7:02:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 40310; scene = ['3bcb40b1f0995144', '367cd4834464c305', 'c0740961ddca5c98', 'f0b69a3d4d2e4db2', '0b15419859947894', '232777ce6c9eabc0', 'e705e9ebe38e0f37', '7d900c809e896e32', '81d9554ed347307c', '677e8ff48506dc49', '4f56e3a668cd9856', '14032e27d5868321', '7a471a0c4fed1464', '16b49dcb5d297f6b', 'a2c24c5776e8d9f1', '78c31e2f20e9fbc8']; context = [[14, 80], [28, 94], [20, 80], [160, 237], [39, 117], [19, 93], [2, 74], [199, 250], [61, 125], [30, 104], [84, 129], [13, 81], [58, 126], [127, 178], [3, 52], [12, 102]]; loss = 0.015919 low_pass_filter = 0.300
+Epoch 0: | | 40319/? [7:02:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 40320; scene = ['14754a432917628c', 'e03a25513087654c', 'd09f5d2b1f451462', '4b4e0ef418b7ef10', '287351b385edbe2a', '1db7a6b88607e8f0', '198ac2a78d76aa94', '7efe572aca0b57ef', '1b585c8a5c9d0228', '5678b255dedbe157', '7dc5c394263df267', 'f52c70025f40e56d', '3fc603b4c4531c11', '871ec8d951a81c62', 'a9f8cdade19d492a', 'de0c2fd682eedb42']; context = [[76, 143], [3, 59], [96, 156], [25, 94], [3, 75], [5, 79], [2, 86], [142, 217], [16, 92], [24, 109], [160, 208], [86, 132], [14, 64], [85, 145], [120, 173], [42, 89]]; loss = 0.016127 low_pass_filter = 0.300
+Epoch 0: | | 40329/? [7:02:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 40330; scene = ['c6252c821a5310db', 'e2f199d364a2dd73', 'bf1b3df661689e32', '0a5d9bd1a512c498', '39e99101dae5b664', '07bc9cea7e787460', '6fc575ee0d5ba914', '75d0d7f85e197e5d', '2ad24b5dd5badb67', '88c4181c7c107744', 'ff233cb7b51443b2', '7e50e4e8c212d948', '46881838c62b5ed9', 'abfcade637383eb9', '67b559f9126c60be', '68785d590f5ecc73']; context = [[15, 64], [46, 100], [25, 71], [18, 90], [33, 106], [8, 77], [1, 58], [36, 103], [1, 80], [25, 86], [149, 201], [80, 152], [4, 76], [59, 148], [62, 108], [122, 186]]; loss = 0.013230 low_pass_filter = 0.300
+Epoch 0: | | 40339/? [7:03:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40340; scene = ['4dd1e7636b5fbf13', 'de72e7430ace193f', 'd78319cea2d2f267', '0dbe8d0d16ba2e5b', '5d1b54e167f45113', 'fb32c9eb51209279', '132dea1279481222', 'e99bc2b58b6f2ccd', 'fbda7cc833f25a78', '9a447c89080e9b56', '6dfcc15fc9e4c026', '27c168a634509b29', 'de27d41e095228a7', '689eb631613c402c', '09f1e74af56c268f', '95a5ea2e09ee418f']; context = [[1, 70], [67, 126], [7, 56], [65, 127], [20, 91], [49, 126], [4, 69], [2, 68], [11, 67], [22, 89], [1, 67], [35, 100], [4, 90], [5, 81], [6, 77], [71, 140]]; loss = 0.017636 low_pass_filter = 0.300
+Epoch 0: | | 40349/? [7:03:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 40350; scene = ['d18790effa088d4a', 'cf7784a7cd6bbff7', 'a6b52aa31f9e8699', 'e28c8bdcaab414b1', '9e331088c1fe40f9', 'ad439927c0cf70dc', '73638addb662d3fb', '85a77eda13c38eff', 'b27cfe405d4312a1', 'b80b9aba988d63cf', '1756b54fd79326f2', '452c789c044fde02', 'cc0940682885838a', 'cb9e1ec505f81c9b', 'cc0274732295be4f', '7955dc9105c4e408']; context = [[38, 87], [0, 81], [1, 53], [76, 134], [33, 90], [178, 238], [28, 97], [53, 103], [35, 98], [64, 114], [27, 97], [12, 83], [9, 58], [7, 83], [0, 71], [5, 59]]; loss = 0.015817 low_pass_filter = 0.300
+Epoch 0: | | 40359/? [7:03:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 40360; scene = ['d93c0548109d3b3d', 'bf0d03380474d38a', 'f51801efa09d2209', 'a40883cee3d7f428', '262491e354ac8385', '9cc91556f912bcc6', '7cdafd4dd1e7898a', 'ecbd583dbf8f0b2c', 'cee7db39524bd776', 'b5e2fc1757ca5400', 'f9dc01b7d2ef31b2', '674af1e9c4cc9e06', '59e2b5fe30f6f04f', '231526021294c8a3', 'b546b62956ba47a8', '15d9ab10d9e2c6b9']; context = [[116, 179], [61, 109], [0, 45], [91, 152], [27, 74], [52, 118], [10, 63], [28, 106], [7, 61], [36, 119], [45, 95], [36, 113], [125, 178], [49, 137], [10, 77], [44, 129]]; loss = 0.014247 low_pass_filter = 0.300
+Epoch 0: | | 40369/? [7:03:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 40370; scene = ['ca0ca4bb51f7cae3', '46303770dae1dc38', '9fbcf3237d43c93b', 'e3f35f5e469a2642', '95e2d1a9e6e1ce77', '4d11b8a54ca3f310', '53d3a781a7db7cae', '51f633fd87dee5a3', '7c1d6f3dd9542cc9', '7877153d7b11265a', 'ce02a33915d0b0d4', '9bc6fbf248bc726e', 'a59d4fe567e33cf0', '5a56b75ac75a93a8', 'b917bbd1445aa090', 'e62c3bffb963e533']; context = [[0, 54], [117, 179], [3, 49], [20, 102], [67, 154], [60, 130], [6, 87], [27, 107], [0, 86], [10, 67], [15, 63], [7, 67], [149, 215], [1, 64], [32, 103], [15, 65]]; loss = 0.013423 low_pass_filter = 0.300
+Epoch 0: | | 40379/? [7:03:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 40380; scene = ['29f0357322f1c8e8', '1f5eb53fc4c87e09', 'a6098adcc247f200', '1e2867c2e8c77d43', 'f85bd402fe4e1ef9', '169e9f69b67f340b', '6854b28be879be74', 'a0e7aebb7c93f9b9', '56b52d634f3a3d1e', '437c8f3d17f24018', '8f0f4e93618b5921', 'c6beb6cc90853cee', '85e7bd689f02a846', 'babe6aed44fb7090', '8bdd245418f71b00', '00a907a68edf05c7']; context = [[4, 55], [1, 48], [156, 215], [82, 154], [11, 62], [11, 67], [141, 210], [14, 92], [4, 57], [19, 75], [15, 102], [7, 72], [62, 108], [46, 104], [0, 45], [0, 45]]; loss = 0.013438 low_pass_filter = 0.300
+Epoch 0: | | 40389/? [7:03:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 40390; scene = ['ff9879889b2fc896', '6ceef29d3cd6caf9', 'bb9481478f3f6d69', 'f39af59fb4167fff', 'df1b7ba1b76c0fd2', 'f21dea2e3ed6d91c', '4ed711808ac6f7db', '3aab66fa01a69daa', '528b96fa2edce81a', '0af84dfcb9f53f97', '07f649f009a0ad83', 'e367fd33b59dbf40', '68dd157e5cdb64bf', '86ade92fdd01c027', '95e435653707db95', '20601f9bed4cd257']; context = [[7, 74], [21, 73], [209, 266], [71, 132], [61, 120], [37, 111], [38, 119], [105, 180], [7, 53], [19, 98], [13, 67], [11, 63], [41, 105], [1, 81], [18, 66], [64, 154]]; loss = 0.014299 low_pass_filter = 0.300
+Epoch 0: | | 40399/? [7:03:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 40400; scene = ['b3f005eee8ef88ba', '628975d2e71891c0', '71910327eda55592', 'f1f59741a955ec70', '6014363eff580dce', '3242954a362c68aa', '0066de2687c63b09', '4cbd9d8955a921fb', 'ee09ae34a0720fac', 'bdb3cfd2caf40d2c', '5d38403bfc1e7822', '80773003e0a7eac2', 'bce3c137c2effa16', '4697c4de453f4c04', '404cc5a0fd0a2131', '2e3b7c0955984c0b']; context = [[130, 180], [80, 163], [64, 131], [17, 90], [36, 88], [1, 52], [211, 270], [46, 118], [12, 102], [0, 86], [69, 139], [20, 98], [4, 51], [90, 152], [14, 59], [40, 107]]; loss = 0.018297 low_pass_filter = 0.300
+Epoch 0: | | 40409/? [7:03:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40410; scene = ['b0b372ac64a28928', 'f360f5a70d1f77bf', '88a1df865ba73651', '404096eeef719e20', 'e046f31182aa390a', 'a318778c76e7390d', '07cc0d72ad68bfa3', 'c18421163ec408e0', '4232947cf5143074', 'b4a9c4f771a646b4', '03e2443677ef9f25', '1b59a7afc6aef520', 'd4b86af5ba8abf8f', 'aacdd9a43cf9ccb3', 'f0e29b62f607dc08', 'dca2d5e4b6c4ae7f']; context = [[94, 139], [22, 84], [18, 91], [78, 146], [4, 59], [83, 156], [8, 74], [10, 73], [3, 77], [3, 65], [43, 100], [11, 75], [59, 126], [4, 88], [23, 108], [28, 100]]; loss = 0.015986 low_pass_filter = 0.300
+Epoch 0: | | 40419/? [7:03:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 40420; scene = ['852f866007866388', 'd5071670e0c38441', '1c966db883c0b9f6', '158c7dda2cf0765a', 'a950d4448837f574', 'c2c37a6bf0a12e0b', '9c6f712cead21584', 'ef9f95673c607cfc', '5db1f93559662c33', '142af18c2b5f0145', 'afad90a8ee12661e', '8bf01fa3d703d54e', '2fcde6f2b5ac4db5', '995cf7faace19c86', '8859e6515aa7ab9a', 'f9ca9a22dab95c1d']; context = [[53, 116], [13, 74], [7, 64], [41, 96], [2, 48], [97, 153], [57, 127], [136, 196], [5, 54], [83, 171], [49, 114], [21, 67], [3, 57], [132, 219], [6, 69], [3, 66]]; loss = 0.015629 low_pass_filter = 0.300
+Epoch 0: | | 40429/? [7:04:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 40430; scene = ['79d256f8bdbf7439', 'bcda6782f530a816', '9310858f11065186', '07852258b4401ee9', '64098df376b74474', '3d51e6ddf04a9b5c', '4570fceec4fe1e71', '047d3c2ff776aac5', '7bc56e386fe3317c', 'daeb63f564d2e529', 'cb1edaf5128dbcaf', 'b261977c2277769b', '52bf8f0eaf400271', '7d5033ecd2b2d52b', 'f7ed39c1e39f16bf', 'e3055f5c8878cac3']; context = [[76, 138], [17, 103], [16, 85], [117, 191], [2, 63], [2, 55], [3, 86], [87, 158], [10, 61], [102, 167], [121, 210], [8, 58], [0, 45], [70, 120], [47, 124], [20, 88]]; loss = 0.018728 low_pass_filter = 0.300
+Epoch 0: | | 40439/? [7:04:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40440; scene = ['70a20d40c095d870', 'c897303a7723198d', 'f7498ea452fed198', 'c83232c6a4f0b035', '754a52ce12b77483', 'f70ae846db4fddda', '3c15b2ce08b4d3eb', '8c710017b7fa073b', '81fd78f84209f2e1', '36107140acb611a3', '41b80c5fb43019e5', 'dbdde58cc9737f08', 'ab69710e23ffa519', '5b42aadc59b3f4f3', '7c6cff8643a2c250', '25be53ace2fc19a9']; context = [[167, 254], [38, 106], [19, 68], [49, 122], [6, 63], [16, 99], [57, 104], [57, 140], [7, 70], [4, 59], [180, 266], [0, 49], [83, 152], [56, 123], [45, 109], [15, 61]]; loss = 0.012922 low_pass_filter = 0.300
+Epoch 0: | | 40449/? [7:04:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 40450; scene = ['e3c32897e9c64042', 'aec60a6dd8090690', 'ecd5845fad0db559', '8359c9726f078a38', '85944298a922538c', 'b579abf5d7100792', '55c975532d573be6', '196e7292497fe4a3', '26478c3488603e09', 'e5acb4c6ebf8af27', 'cc7dcffc9cba38a8', '02a9f1d0c440516c', 'de2eb4f6f8635fff', 'd27aedac17239369', 'b8d7dad69da49e51', '62e2c4c0f76a53e8']; context = [[102, 154], [224, 270], [43, 88], [1, 77], [82, 128], [11, 66], [32, 101], [83, 171], [125, 197], [9, 54], [15, 101], [90, 169], [5, 80], [11, 68], [43, 124], [81, 151]]; loss = 0.016096 low_pass_filter = 0.300
+Epoch 0: | | 40459/? [7:04:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 40460; scene = ['4e7d8ed51095038f', 'ff940b152f67e64f', '914d28b1a6619d56', '87c15bdc99de8b19', 'e0d0efce182f5f31', '55089d91c5721259', '57eb18428a5ab159', '063382a093ca100e', '0c780fbcea790fe0', '64df5ae2d0ddb655', '9e37571a7c82e501', 'eaf2d65e2cc0d677', '33bc577abb7897e2', 'cb82108b17ee5e26', '61b8e9a04d4980ba', '77844e25d2ac0876']; context = [[41, 129], [10, 59], [30, 83], [0, 46], [33, 99], [177, 234], [9, 56], [0, 83], [1, 55], [59, 110], [71, 133], [111, 192], [13, 74], [2, 81], [0, 72], [171, 258]]; loss = 0.015622 low_pass_filter = 0.300
+Epoch 0: | | 40469/? [7:04:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 40470; scene = ['3cfb4841333f7534', '218374163d050ea2', '0e2aaa4f464750cd', '68a45d0deef42284', '093e9cccabc07b67', 'afe95adf9660bc63', 'b78e8eac3de74061', '1ccf17e4cc459d89', 'a2ee374109858209', '2c34c5f4d7e218e1', '6e2d0cee57e911ce', '4fa6e4051bb5770f', '63f02ef9a059cab5', '36419a3bac6c576f', '9f2cb2b7e9c12df7', 'c88338c9d91fa766']; context = [[186, 236], [0, 78], [64, 142], [8, 65], [195, 250], [4, 59], [18, 102], [20, 101], [26, 82], [31, 106], [29, 81], [41, 117], [13, 59], [16, 94], [99, 163], [38, 123]]; loss = 0.015082 low_pass_filter = 0.300
+Epoch 0: | | 40479/? [7:04:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 40480; scene = ['88cd2f72bb3cd574', 'ab85bf8652d24e47', '18b72612d78e5800', '74ccd7f499ff29c1', 'a89e2f1bc57991f3', '48c4a4758b86d309', '4d0ffa23690b31f5', '58d9100716253f0f', '1a00d4e8aa97867b', '95f77454a0125854', '11a1b9420a2069bf', '6a3f9d9e01c9bda5', 'e32290ab3ad7c715', '0cf7ca36e28ce263', 'd24a8a424be5ee95', '871cf978eabbd334']; context = [[35, 107], [6, 73], [41, 122], [9, 74], [0, 46], [37, 83], [11, 75], [14, 103], [197, 259], [67, 141], [40, 110], [3, 81], [33, 96], [7, 89], [43, 108], [89, 167]]; loss = 0.016228 low_pass_filter = 0.300
+Epoch 0: | | 40489/? [7:04:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 40490; scene = ['0f66d4da2e5fb807', '9834366fe2054a74', '6c0c16bc3341f05d', 'dd75e9c994612497', 'e4a773aa8bcdeb64', 'f104e30541a188d9', '405ddee5929128c1', '54792c35c05cd7f5', 'f7bc3b34000a7cf4', '19b940e0418085be', '552ce58b418c7a7a', 'dd73a5ab06e9c9e8', 'c4c33ddbf3b5ba1e', '373176367476a8e9', '3239b6416b50eab0', '78982e707593bbd3']; context = [[4, 51], [16, 62], [2, 67], [9, 97], [72, 146], [26, 80], [117, 189], [6, 59], [0, 84], [31, 77], [11, 101], [55, 144], [154, 238], [94, 150], [31, 76], [40, 86]]; loss = 0.013415 low_pass_filter = 0.300
+Epoch 0: | | 40499/? [7:04:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 40500; scene = ['cdc51e3b5f9b8e5c', '89cc337397133f3e', 'f7e97032335eadde', 'e327aa8d28ca11d0', '1b95d354eed7159a', '7c7cdad9ebdae004', 'f68d49dddde45d32', 'e9c7429c38f43e66', '03fcc7f08b6230dd', '321dd5398f1a2288', '7bd19f4b8fe7604a', 'f74b389738420c04', '694cc843695b9687', '4aa5113cb53c2951', 'bf182bdffd928804', '11816aa482b4a095']; context = [[71, 150], [197, 244], [106, 172], [31, 115], [2, 86], [95, 154], [38, 121], [27, 94], [13, 66], [3, 52], [5, 57], [20, 65], [25, 109], [169, 233], [0, 59], [0, 59]]; loss = 0.016005 low_pass_filter = 0.300
+Epoch 0: | | 40509/? [7:04:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 40510; scene = ['f0f12c1c465e21e5', '25f5058d556324fd', '80c36f3524b4ad8c', 'd71386474224c9dc', 'e92f8f5e757411f7', 'be00c86bccdd18c2', '61ac3dfca0ca06df', 'b13da9a943f94e03', '54b1ebea145fd3f2', 'ec6d1d72cc597748', '8082a192705e95d8', '02873a084fca3e53', 'b1e1ac8422057bbe', 'f8c3a09cbaf34127', '4d54607d84367b0b', '5ec2c030733df55f']; context = [[66, 118], [57, 118], [18, 104], [15, 101], [81, 162], [9, 99], [1, 61], [10, 56], [17, 64], [15, 75], [16, 72], [63, 146], [56, 117], [0, 59], [1, 89], [34, 83]]; loss = 0.017775 low_pass_filter = 0.300
+Epoch 0: | | 40519/? [7:04:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 40520; scene = ['10e164f2a9a8b59c', '8c49c283f2b66d73', 'ded6bd857452806b', '5cd9544ff5ac0023', '747f7495c69627d1', '0645783bf08702ef', 'a4ad4c53ae9869d4', '170f65ce2f7b9f55', 'd712b44c6c37d8ef', 'ca09deb71edca277', '4f7a2a6848e175eb', '91179fe12e8867e1', 'b5b1f0cbb0515bd9', '77f575e644ef4066', 'e38ffe279d74bdab', 'db7c001b56cc58f9']; context = [[65, 131], [10, 97], [168, 222], [51, 130], [80, 155], [1, 88], [43, 91], [41, 106], [190, 251], [70, 158], [3, 84], [0, 75], [63, 140], [128, 207], [4, 94], [163, 228]]; loss = 0.018392 low_pass_filter = 0.300
+Epoch 0: | | 40529/? [7:05:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 40530; scene = ['3a6f95f123a6734d', '4a3aefcc8d1bf303', '81f0e23b267f977f', 'aff1a276b88f95c0', 'bde0ae0a61223088', 'ea6ed2808e7a6b2b', '623a5216fb75cc8a', 'bb2c45db780e6053', '590d6f715d8edd9d', 'b7a4d8bb62482f41', 'bd17df2a73c9610c', '9995ebd239715b8e', '2e25e9e465061299', '45640ebc88e55a99', 'eebbabe770803962', 'cc3b2bb760ce5ade']; context = [[107, 169], [15, 73], [20, 68], [0, 82], [7, 85], [1, 83], [59, 145], [140, 204], [125, 208], [55, 100], [186, 231], [11, 88], [117, 168], [47, 129], [1, 64], [2, 62]]; loss = 0.017186 low_pass_filter = 0.300
+Epoch 0: | | 40539/? [7:05:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 40540; scene = ['2359aae1dcdcad57', '1b97512a507c1af7', '19c1be98c8cc8c2f', '677f2e47f3371b23', 'f8bc5a1bf0e97746', '6910b34e5b91b5f9', '80e6fa6ebabd2b5b', 'a2221580995f8722', '8f8259fa3b72216e', 'c56ba8717d50a07f', '11db2e14d64c1b42', '7eae59259910a160', '85f5116d79acb22a', '564437b001139667', '72cdd65567fa4c64', '51f80353f6008c4f']; context = [[7, 75], [2, 60], [27, 75], [16, 62], [113, 180], [126, 177], [67, 153], [44, 101], [78, 149], [128, 189], [97, 158], [191, 247], [88, 153], [171, 217], [92, 150], [81, 158]]; loss = 0.015352 low_pass_filter = 0.300
+Epoch 0: | | 40549/? [7:05:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40550; scene = ['fdf733d3297e24f3', '2a6b47d35a74d85b', 'd58d5c6a87dd5dea', '2bd6b11df030a5ec', 'e3e8d578bcdf23e4', '3567e42cd469fe52', '5cff1e4a72fd38dd', '9327d6be6d69b135', '7b13965de06843ef', 'b16abc4d67655cb5', '714c3dc97fac769a', '10c8704bb6745b6e', '97efb1c9d012a89a', '206c406cbb54c9d6', 'a5755fb377071cda', '87b9c2954fe05751']; context = [[1, 62], [10, 87], [15, 74], [55, 105], [3, 84], [14, 66], [64, 128], [1, 52], [0, 50], [7, 82], [5, 77], [24, 69], [32, 99], [1, 89], [59, 104], [77, 134]]; loss = 0.020026 low_pass_filter = 0.300
+Epoch 0: | | 40559/? [7:05:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 40560; scene = ['9d6bf676fdc833ee', 'bd03499b0e76b3f9', 'ca0d07682836a687', '10b5103169304f0c', 'f2b206d102455492', '38dd6bc571144b30', '794e3050d927020a', '0a4bc4214b30c6fb', '29bae6d351890d6d', 'f9e30677a660d5d0', 'cb948cf08f39c453', '8b508c2ea804af72', '4cb55081f9816caf', 'e9d9dc952f5bbd83', 'c65b5c10c857ed26', '8d6c438cee2e41d3']; context = [[0, 56], [27, 113], [200, 248], [33, 88], [91, 171], [160, 246], [5, 73], [67, 147], [0, 81], [39, 123], [75, 149], [5, 77], [48, 106], [10, 90], [30, 110], [24, 79]]; loss = 0.015393 low_pass_filter = 0.300
+Epoch 0: | | 40569/? [7:05:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 40570; scene = ['ebfefe9f9b0f3e6e', '98aaef4ad2b17e8c', 'd98902137d65fd46', '5f64502e01f52203', '6b9376bd3b3cd945', 'bd253c3013d0bf0f', 'a226e45fab5b520f', '1a3662f729f45a4f', '9d435302e482d23e', 'e8e484398b4fd8f8', 'e30ea6693d59ce49', 'd1f93bb1a968ea02', 'd283e86fe7d9d234', '014c32d822a7ec47', '0596a93c402c621f', 'c8e171e498269ea3']; context = [[154, 243], [4, 77], [15, 65], [86, 157], [40, 90], [32, 106], [3, 54], [0, 50], [23, 80], [157, 245], [63, 109], [142, 226], [14, 75], [54, 109], [1, 64], [34, 91]]; loss = 0.015744 low_pass_filter = 0.300
+Epoch 0: | | 40579/? [7:05:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 40580; scene = ['0e993fce1ec5e3b0', '53f494ba124765ae', 'ab4b384f7cb7f24b', '955a97a7a74e8e5e', 'd8445efc40a8fca8', '9142d39eba087804', 'f48f11c8b6fca413', '02b2ea54d6cf57be', 'bb747b7bad77958d', '6a058519956239d2', 'af05da9be7d6a571', '210c615665e722ce', '09febe2e537391da', 'e02e87df15575cae', 'db1981bc4f1ce19e', '30a0abf380fe788d']; context = [[16, 106], [15, 88], [5, 65], [3, 64], [73, 156], [0, 53], [12, 79], [30, 83], [32, 116], [19, 67], [16, 95], [6, 95], [0, 72], [1, 85], [69, 117], [77, 127]]; loss = 0.013478 low_pass_filter = 0.300
+Epoch 0: | | 40589/? [7:05:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 40590; scene = ['39add666b4236924', '46cfe90be78f1b48', 'b2ba2a9226ab5416', '597d275f09b79f31', '58579896a14a9718', '3c23f9c44d4156dd', '0db524aed16843f5', '261297f3524d2ca9', '3c3cae1c7798bc55', '1355eec90c536696', '9124ec84122ce2ed', '4d0354a006ff9acc', 'bfef36794fa48ba7', 'ba00fec307cfee28', 'e3204b78384a33dc', '542a2fb6fe71192a']; context = [[51, 118], [166, 237], [1, 47], [62, 130], [40, 126], [18, 95], [49, 132], [210, 256], [4, 84], [6, 95], [8, 74], [1, 48], [62, 152], [103, 165], [21, 91], [6, 52]]; loss = 0.015933 low_pass_filter = 0.300
+Epoch 0: | | 40599/? [7:05:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 40600; scene = ['3a006400a70e36a8', 'f8750505219fabbc', '3153fa729f8a1248', 'afd32aa3316f6c5b', '2302741a787dad91', 'cd1610cb47c9f027', '839f83294bba27fe', '84fbc50f4d2638b2', 'fb7924e8e9d8aa21', '4e6d33c952bfcaa4', '2186daafa25b96fb', '33bf05eb6f7b366c', 'c4d245912b2d96d5', '027555111a253d5b', '194a9facebe12d0b', '52eb80f0c2d7871a']; context = [[28, 75], [29, 77], [12, 81], [9, 97], [122, 172], [3, 58], [33, 80], [2, 57], [9, 61], [32, 87], [7, 71], [147, 229], [31, 77], [42, 91], [11, 95], [41, 93]]; loss = 0.012447 low_pass_filter = 0.300
+Epoch 0: | | 40609/? [7:05:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40610; scene = ['b620dfaca7a37365', '55e04e9b50ee3cd7', 'ce93ee0eaca72e6b', 'cfa2450736df61d1', 'a7285c6e5c20dfc2', '3d324e5e8a7790b5', 'c8e171e498269ea3', '24502963bafe2fa5', '2ba97c65f2b6b12d', 'c91a840348807d57', 'a1c4f2db52b4051c', '9f330b05e7b1955a', '3410d65a1b870eb7', '93e4362f1b5a692f', 'de7427712778e01d', 'f55c732c8821fd1c']; context = [[15, 102], [28, 90], [4, 79], [8, 87], [32, 113], [116, 202], [39, 97], [37, 126], [67, 134], [24, 75], [2, 58], [11, 60], [6, 58], [9, 82], [6, 79], [143, 217]]; loss = 0.013386 low_pass_filter = 0.300
+Epoch 0: | | 40619/? [7:06:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 40620; scene = ['9720a52405835b98', '0e72cd138b93788d', '244c5fecb741efb7', 'cb17ff92309f6c21', 'aeba0e80ade27c60', '0eedfd3367866a18', '332db302db18a6b1', 'dd61e223f3c5ea1c', '0f094eb8668d4827', '049307dd545ecd8c', '5f80c7428ba6889e', '7a98a13916fbe4a9', '7902548ee26ea35f', 'a684bc68fed03fe9', '97b5355fdf718cc3', '97567831afdc89bd']; context = [[3, 83], [157, 223], [103, 159], [10, 61], [1, 77], [1, 72], [28, 77], [115, 205], [221, 277], [0, 45], [17, 64], [138, 220], [33, 94], [11, 61], [2, 88], [3, 57]]; loss = 0.015445 low_pass_filter = 0.300
+Epoch 0: | | 40629/? [7:06:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 40630; scene = ['8d6c438cee2e41d3', '1ad6f571781d4e71', '62119effa34e8c61', '35d818d3fdbde683', '13e1d5e8a0e6b2bd', 'bbdd49ec9677e590', '7665bc79e9f36404', '964d84c15eadd21a', 'c30cf086d597aba5', 'f63a4086664bd09b', '17972f6c30d31358', '6bd188e48caeee1c', '55884a763d483c32', '33dc89c64aa1a814', '5a4a1a47759a6c0b', '2efc3baf2ea0c6ed']; context = [[11, 92], [0, 51], [2, 47], [23, 78], [139, 202], [11, 81], [44, 121], [55, 104], [6, 91], [8, 74], [31, 120], [37, 119], [7, 58], [77, 134], [10, 74], [22, 105]]; loss = 0.015610 low_pass_filter = 0.300
+Epoch 0: | | 40639/? [7:06:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 40640; scene = ['13b6a7b0131f5638', '3cac75e60965dc6e', '8a10341cc1cc0210', 'b382af5f342061fa', '77c788d08b2ce6bf', '7b2c118f021e6902', 'f7026eb9c05f844b', '7273382ad589d7ac', '549d70078346dcee', '9f92d7e79d4a35bb', 'aac89cdc7ac8f36b', 'a8d39140d76d3b94', 'd96555a883c4685b', 'b27a2ead46dc947a', '1c76ccaab2f8a093', '2d8eae90ee1533c5']; context = [[0, 48], [12, 88], [5, 68], [3, 58], [17, 70], [18, 65], [2, 76], [6, 52], [5, 69], [112, 192], [6, 55], [20, 89], [31, 121], [18, 83], [16, 79], [7, 66]]; loss = 0.018835 low_pass_filter = 0.300
+Epoch 0: | | 40649/? [7:06:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 40650; scene = ['ed67e326199a5cae', 'd402be368f70797b', 'b4d99586fe24950f', '0c16bfd1cc432c9c', 'b8974ce42f6d52bc', 'ef461087323ae170', '5a57c8e5a5252c3c', '5de8190e37e23459', '8b2d76f9df651fc6', 'f1c1bb1ee6d4c97d', '8c035759dce975d6', '322426f484cbd0ce', 'd78f25c6b105edd3', 'da68c9b0d2f30ff9', 'e8f0e7311ca382bc', 'c689b0c00bf4d59b']; context = [[5, 57], [136, 224], [34, 87], [7, 83], [134, 206], [8, 95], [0, 75], [27, 85], [25, 73], [9, 54], [48, 129], [5, 58], [6, 77], [121, 187], [29, 113], [3, 75]]; loss = 0.015153 low_pass_filter = 0.300
+Epoch 0: | | 40659/? [7:06:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40660; scene = ['dda3ac5e6f3750a1', 'f7f3359cd5a72d36', 'eb0d89c323b8848b', 'e6acd6116662f723', '69d48147d336abd9', '8cee9991d18c1f9b', '61b47f4bc7d7d615', '1d09d68c42cd89c7', '9b53b65f6589b449', 'd1514789498072ce', 'fc33c2bb40bfc9f2', 'bd274c7a7da00ad4', 'd1470dfbdb2d9545', 'a53c95a54a909cc6', 'a3cff90df97ff0e9', '2246ea4355b0fc4b']; context = [[13, 75], [44, 111], [52, 126], [0, 73], [16, 106], [1, 67], [23, 112], [56, 129], [4, 54], [0, 46], [61, 108], [18, 104], [29, 89], [6, 65], [8, 72], [88, 178]]; loss = 0.014325 low_pass_filter = 0.300
+Epoch 0: | | 40669/? [7:06:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 40670; scene = ['4734e02082441a9e', '3fd7cdb6f823bb9c', 'b4a0e7d971e39e2e', '8266cb4dd06d753a', '435662fd057e76a3', '209dadd5726fd0eb', '1f4505aceb623cad', '93677620c60531d6', 'b01466523e734f6b', '17e26092b16e2f53', 'bcb1b35c603efea7', 'd4e60c7364b2a678', '83ab839d8677c959', '829edc41b1f3753e', '0cc6a78a866dbbe2', 'c5efe399fc5b5484']; context = [[12, 92], [12, 62], [38, 83], [26, 94], [13, 87], [12, 94], [50, 97], [0, 60], [168, 240], [60, 150], [8, 59], [6, 56], [130, 217], [26, 110], [21, 85], [37, 108]]; loss = 0.012590 low_pass_filter = 0.300
+Epoch 0: | | 40679/? [7:06:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 40680; scene = ['2784199015a0b111', 'c82f4c790e826904', 'ee29d5fe76ce2524', '7b7955bf25d63652', '323b8f17eeb721a0', '4b1bee2132817957', '4157be3703b992c9', '8f8db78b02cc1d0d', '02df65abb7c0bfb0', 'd54159912c53e80b', '6ba2f377a21c9425', 'a8c10c5aa79981b7', '506753022747f386', '4946a0355cebddad', '56a2ac4100abd798', 'c23fe454bdf2aff2']; context = [[3, 71], [75, 163], [54, 114], [33, 119], [10, 73], [13, 68], [25, 83], [52, 106], [22, 92], [91, 177], [22, 71], [2, 77], [108, 162], [49, 102], [77, 143], [80, 155]]; loss = 0.018113 low_pass_filter = 0.300
+Epoch 0: | | 40689/? [7:06:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 40690; scene = ['b23159314d446ab6', '6b73871e384a0f75', 'cd6004a198ec5ce7', '172007be3056a5e3', '89610e2709f7fe4a', '87f309174a1f7823', 'a5dc410ab6b6ffdc', '26a19d5d4d76f83d', 'f3c8c41d370f099b', 'b66b5fe75bc57149', '2eff7289cd293852', '1dd657d729988154', '36aade8d48bfd9a3', 'bf7db154feb5eb9f', 'c6e6dfe41bab8eb8', '715b259ea9988c79']; context = [[2, 60], [28, 78], [2, 47], [155, 242], [7, 64], [72, 148], [41, 98], [10, 94], [91, 142], [12, 84], [16, 88], [166, 239], [11, 97], [5, 53], [22, 92], [43, 89]]; loss = 0.013285 low_pass_filter = 0.300
+Epoch 0: | | 40699/? [7:06:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 40700; scene = ['e05964b2d09ba2b9', '56f95247e77bedc3', '3b478464a6665998', 'f91d97a02869cbd5', '7dd3394cb3908cef', '37fc71e2d5534f99', 'bdcf63d0e401dba9', '38a6a1ac5db4c9ca', '6ea0ff32c8ea695c', 'd110e65023ed8364', '4e1c106e3effe9bc', '6d51b12343179f02', 'cc2226bd7f8faab6', '042ddfb169d6bbdb', 'cb155c027de7a145', '7d9fc989aa9c6149']; context = [[145, 191], [210, 268], [103, 171], [15, 101], [18, 66], [38, 89], [5, 57], [29, 107], [35, 89], [48, 121], [141, 186], [33, 110], [1, 66], [158, 214], [75, 151], [113, 182]]; loss = 0.013966 low_pass_filter = 0.300
+Epoch 0: | | 40709/? [7:06:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 40710; scene = ['203db9a6ce37b351', '5eed6b0dec374d1f', 'deed1e553b4905e1', 'ed3d1d0539b10ee2', '46019499e273d03b', 'aee2a809c583895d', '0f669daedb93570c', 'efa2de9e4ecc35c1', '15f662b610839883', '723f157b2ec763f1', '06966417c542a4f6', '02ff8fdb53266725', 'c1db91b9d4c83bf8', 'ea6083f964b9cfff', 'a1c3c6a3a26b83fd', '39336763f0c7e640']; context = [[5, 57], [0, 69], [54, 103], [67, 144], [14, 60], [171, 233], [23, 100], [189, 244], [27, 87], [34, 107], [1, 60], [10, 71], [117, 164], [73, 158], [21, 104], [22, 67]]; loss = 0.016357 low_pass_filter = 0.300
+Epoch 0: | | 40719/? [7:07:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 40720; scene = ['8b06df9786bd4aa4', 'abca120df6b75dbe', 'fab2da62901db99e', '70c56631eef0de6e', '0d8e5289e56244c4', '031f8b9e66601e5e', '2629da604e80913f', 'f48e3fb895bd459a', 'c04814a993082566', 'e9245e35931d0260', '5150534a7080bbe1', 'bcc00e27ca39c0e0', '25280e32ba676f03', '30ba32c31521175d', '6da69e059ba7030b', 'a2fb92cb976a8506']; context = [[38, 100], [151, 213], [0, 69], [15, 62], [84, 141], [31, 118], [0, 59], [43, 111], [25, 82], [5, 64], [7, 97], [14, 79], [4, 54], [33, 78], [104, 187], [50, 102]]; loss = 0.014733 low_pass_filter = 0.300
+Epoch 0: | | 40729/? [7:07:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 40730; scene = ['0de33ad1ded7a060', 'd3234b40e1d89548', '39bcb80c02b8b0f0', 'f7da323950f255a0', '0678547e251bcd60', '3bac8b9c47707a8a', '49ba6fbb5a39e7d5', 'f8755c049d3f8fcb', '821c3210d5cb54ac', 'd8b0f4aa8fa820cc', '1e73cbe74fa856ef', 'f95aa66cf9e4cbb1', '04c446484b9ff253', 'd2db866d20badde7', '9a425cc9654f27d1', '41b791aa1324f8d0']; context = [[197, 258], [125, 191], [0, 46], [51, 103], [2, 69], [54, 106], [0, 59], [117, 170], [65, 147], [10, 71], [129, 183], [36, 119], [0, 58], [2, 61], [17, 65], [18, 65]]; loss = 0.014416 low_pass_filter = 0.300
+Epoch 0: | | 40739/? [7:07:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 40740; scene = ['c90f01f360645e27', 'be920b88d4014762', '31c7ca382b4cf406', '61944f66d6b0c7b6', '071317a7a935d94b', 'ca2e6a9878ee4e4e', 'f25f89722f6fd7d2', '653dd904f9d06499', 'ee7877c90977cfdf', 'bb85e052b391045d', 'a0b1e9da3ec78a5b', '45cf95fec24cdf7e', '82b8c0c77d39efb6', '19d0c0cef05ae996', '7258700ff6e92e8f', '400f918d4cdfed4f']; context = [[24, 95], [2, 47], [30, 115], [56, 142], [21, 93], [8, 85], [65, 141], [10, 81], [7, 54], [2, 79], [1, 79], [24, 69], [6, 64], [46, 104], [118, 171], [0, 55]]; loss = 0.012673 low_pass_filter = 0.300
+Epoch 0: | | 40749/? [7:07:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 40750; scene = ['2c4ad0411fbbcbad', '19b93321c17f79ed', 'd2e315f42f6ecd10', 'c872337ba8bfe518', '414c7fb7f1706a59', 'c05bed67f6eadcce', '0e026a7b7626df9c', '212b7aaaf7ca61b8', '0ca83596a694293b', '96d5531aa1861495', '389acd738b77f8db', 'd9f72e442caa6395', '708867eb6c48051e', '10d244f532805eac', '8c53c8ead708f5c2', '72102372c4b86710']; context = [[74, 164], [23, 89], [61, 116], [22, 89], [44, 123], [70, 137], [46, 118], [3, 57], [133, 212], [12, 62], [2, 54], [115, 199], [7, 90], [0, 45], [5, 77], [5, 82]]; loss = 0.015942 low_pass_filter = 0.300
+Epoch 0: | | 40759/? [7:07:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 40760; scene = ['55887fb50e8e3b55', 'ffae0c358d55ccd6', '166f9c05d54a10f8', 'e2055fd77da8871b', '2054cdda3bb0e2fa', '718a14926e4ab38b', '438a8f984c2a3059', 'deefb03aaa86c7bf', 'bace6aaf91d1dca4', '476031f93fd173b0', 'f62a962df5c26a1a', 'c06465b56ad7c78d', 'f18f902446e55b6a', '13b1888318fdc03d', '07b3b8eed5158977', '2d7cadb283e13574']; context = [[35, 84], [5, 74], [8, 76], [47, 133], [155, 208], [11, 90], [14, 88], [123, 207], [56, 114], [46, 108], [0, 65], [0, 67], [31, 105], [52, 136], [5, 88], [60, 134]]; loss = 0.013451 low_pass_filter = 0.300
+Epoch 0: | | 40769/? [7:07:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40770; scene = ['cfe86f4d4e636359', '03424d8cb042fbc6', '400caa0619a990a4', '01c9d8d300256658', 'd41d914f1dfffb80', '47cd9a752d3fb63f', 'eb2f7073cf409991', 'a2ecaa8119e0206c', 'b039526008c39a0a', '5c97b500db0da80d', '31546243e7d33be6', 'b9912ec3e98862aa', '1f07cb2b848165e1', '6c2ee57b58acd9e5', 'faed3d48ab5647f2', '9d9117e021fe4c77']; context = [[1, 63], [163, 209], [85, 141], [53, 127], [3, 73], [29, 88], [153, 236], [16, 74], [43, 99], [0, 68], [3, 72], [191, 263], [25, 80], [26, 73], [16, 88], [8, 54]]; loss = 0.014332 low_pass_filter = 0.300
+Epoch 0: | | 40779/? [7:07:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 40780; scene = ['337dc31602bf2187', 'd07aa4d1691ccf58', '2c6acb9cddb23fdc', '3646fdee6946bde3', '3cca155053b89326', '1c82921d1dcd115f', 'f1a0ce57e7071dac', 'a170e06e7999ca1e', 'e8f80504a64dc7e5', 'f689b1467bdd3aaa', 'df2ed5b12147a4b4', 'e066d9d444f847ba', '65cdcbcb16f0ebe5', '9ade5b1dc78259b9', 'b35b0b431fab2105', 'cab1c72e246a13b4']; context = [[3, 60], [6, 84], [7, 60], [6, 61], [15, 77], [3, 56], [7, 56], [3, 49], [100, 177], [158, 246], [41, 106], [11, 93], [9, 58], [13, 62], [146, 200], [77, 155]]; loss = 0.014319 low_pass_filter = 0.300
+Epoch 0: | | 40789/? [7:07:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 40790; scene = ['2f358c7261cee038', 'd061a7ec0d2fe858', 'b829816b67fcc39b', '6260eadb16930830', '68527c01923a3319', 'eb52fcf26d327e46', '121a82c0523487a0', '9fddc14f5349e77a', '28776a82c3302757', 'fdf8b5f9f500a705', '23aeca1b7b3e453a', '6e405d9d8f674ab6', '2e667fb64ab04390', 'e2406c6d5ca2a6d4', '1d2bf04b397af5cd', '142c9a33b58e5abf']; context = [[8, 56], [6, 71], [98, 162], [2, 67], [10, 73], [82, 155], [0, 72], [7, 78], [8, 89], [60, 115], [106, 182], [18, 99], [1, 56], [9, 86], [29, 97], [174, 261]]; loss = 0.017723 low_pass_filter = 0.300
+Epoch 0: | | 40799/? [7:07:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 40800; scene = ['412804362c1bce61', '641310a2d9c88eab', '4bd13783695ed549', 'c817f950848090ec', '81b0ef8a758fba61', 'a1320688d26c7fbe', 'c533cd77b9d83394', 'b701a44de44e6712', '104239f3585cef56', '0cd6f4841a15ea2c', '9ff58706e510fac5', '6da546cc88d60c4e', '1dd9690bd5cc0fcf', '1d551aaae4e7bcba', 'c95b281ebb1d5204', '2f8332d9c4514d23']; context = [[20, 65], [30, 98], [9, 65], [2, 77], [46, 125], [4, 52], [61, 134], [11, 63], [51, 116], [39, 92], [205, 275], [42, 93], [75, 148], [1, 58], [14, 62], [85, 168]]; loss = 0.015121 low_pass_filter = 0.300
+Epoch 0: | | 40809/? [7:08:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 40810; scene = ['71c1c052632606d3', 'cb4a606c07c51b91', '3d26d392a63a781c', '9559d128b3a1eef0', '714631624aba3b4e', 'f9c6bef8f2735fef', '78cb32401cc6b824', 'f7f3a0fc0824b3c7', '6e0478995e512dc2', '5e17c7b14a6238ad', '96640585e0c7373c', '13a6fbfd56e93d0f', '6bafdf689bfe67de', '6797efbddf6c78c6', '4a12eddb909e001a', 'e3d77654e29ec6c1']; context = [[2, 83], [4, 67], [15, 94], [10, 58], [1, 71], [0, 49], [96, 157], [90, 164], [3, 78], [16, 65], [15, 98], [128, 194], [118, 165], [1, 47], [7, 55], [16, 62]]; loss = 0.014631 low_pass_filter = 0.300
+Epoch 0: | | 40819/? [7:08:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 40820; scene = ['5aad4a21ce37e53e', 'ce4fa27b4ee5955b', 'b8e91cbe57d886af', 'f2814d17062330d1', 'b41d3898f57085e3', 'c38816ffe6b2c633', 'e7b0248022eae778', 'a308376472392fc6', 'b0b54e44bbbb3aaa', '1182579e7ca4ef88', 'fd796259bef6cab0', '039a82846f63ce27', 'fbeb7fe99c10b717', '57cb1fd49a354fba', 'a40c454857fdf94c', 'c74c318cbdc27580']; context = [[0, 49], [2, 72], [35, 101], [11, 80], [27, 91], [48, 102], [4, 66], [4, 75], [16, 100], [3, 61], [111, 197], [7, 59], [8, 94], [141, 221], [23, 84], [6, 92]]; loss = 0.014891 low_pass_filter = 0.300
+Epoch 0: | | 40829/? [7:08:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 40830; scene = ['3afea6460cfb4f15', '68530d6f86185a8c', '8dad104fd0058819', 'a4ccb53922783c60', 'e2780aeff94be39d', 'b1a96d466d93b233', '873b6566b29196f3', 'b1d7993d7dd6af3d', '0470f9240ba08cf5', '8628205ae24d1d2f', 'aeb22e7070c7ebc7', '351acba755ebeddb', '78404b18ba433cba', 'beaf5db0ab93f9c4', 'fcf33bfc26847fe2', '3b77d03f923fda5b']; context = [[0, 58], [33, 80], [143, 193], [30, 105], [146, 215], [20, 86], [0, 83], [0, 50], [89, 144], [66, 153], [1, 52], [59, 108], [22, 107], [44, 94], [0, 81], [15, 87]]; loss = 0.013178 low_pass_filter = 0.300
+Epoch 0: | | 40839/? [7:08:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 40840; scene = ['f40ba5d7855676c1', 'de2d49f0318cb6fc', 'a7fc900406545055', '2f584413d24450db', '77b3d364a71b1f94', '1edf29242e8ded7b', '55ea126ab6fb29ff', 'cfed67976b653755', 'fc50b744d90c9b91', '81d8259daac951d0', '92947c334b47ecb3', 'b423d351d9f5120b', '27f9efd9084e01c2', '28c3c356d03fafd9', 'd7ca3f1781fcc191', 'd8ab1dd71f13a47c']; context = [[143, 192], [4, 79], [38, 100], [15, 61], [77, 165], [100, 169], [87, 154], [24, 113], [63, 111], [1, 58], [46, 116], [36, 87], [39, 90], [52, 126], [4, 92], [0, 74]]; loss = 0.017721 low_pass_filter = 0.300
+Epoch 0: | | 40849/? [7:08:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 40850; scene = ['0d7fdf79a21de6c3', '3828012e4927ce86', '3801fa932c2b4338', '2117960d31ed1cb2', '9dfab02a0ff14bb9', '2e5ff8faebe9c6d7', '3150b1c3a91a4e9e', '99035b0c28d05e25', 'a5ffb8224b9ba43f', '8488fa43d3af93b3', 'b45f7bda24aecd9e', 'bfecf32dfd0f8b4d', '652c3ab6a0ffea39', '37ddb3a4002c944c', 'f3ade6c63bc7d4ae', '07716160a0a7492e']; context = [[33, 89], [51, 116], [29, 94], [184, 262], [16, 95], [0, 69], [15, 102], [44, 104], [29, 84], [1, 80], [7, 97], [74, 129], [8, 88], [5, 57], [1, 88], [8, 59]]; loss = 0.013194 low_pass_filter = 0.300
+Epoch 0: | | 40859/? [7:08:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 40860; scene = ['3ad7f1f843b2004d', '24fe46ba16e8a785', 'c9b8e97f719d37e6', '8c55dc484a5b5f15', '89e0f663d12644c1', 'e7eb6b35cecfc121', '5b3b305c509f38a8', '186a5a284c365b3d', '2f859d6d5a18a6af', 'b1d6229612a04f49', 'c205af61996dbdcd', '4915b25efee9ee1b', '4d30a364453937e2', 'a9a937c97ed274a5', '847b7d96b0c6a961', '1cf9d60e66ee8426']; context = [[5, 80], [22, 99], [23, 86], [3, 80], [0, 58], [8, 81], [14, 65], [79, 127], [26, 108], [7, 77], [9, 89], [19, 66], [13, 65], [3, 61], [33, 107], [1, 63]]; loss = 0.014968 low_pass_filter = 0.300
+Epoch 0: | | 40869/? [7:08:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 40870; scene = ['d6f6f9a2f1fa321a', '9bc3b095952b669a', '69cef2ebaeeadb88', 'da66acbc07d17fee', 'bafb2f1de71db4b4', '5142a42cf28c0572', '4c86a1bf572ecad0', 'f43b8704b2b7f744', 'beb54e5f88f4b3b7', '577a3ab7c92be031', '4935c05a11512f3f', 'f12c4933214eb377', '49fc7971e1a19de2', '511c580f3b9a598c', '11b2bdc0efd3da71', 'd5c2c0f794aeb07d']; context = [[9, 58], [0, 51], [38, 86], [13, 68], [7, 86], [92, 161], [102, 170], [1, 55], [41, 105], [54, 101], [21, 96], [0, 45], [3, 65], [5, 50], [89, 150], [16, 75]]; loss = 0.013709 low_pass_filter = 0.300
+Epoch 0: | | 40879/? [7:08:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 40880; scene = ['f418bd0b0734b3ba', '53b47cb89ee91160', '8eb7a95a27a7e436', 'd4892209f4d03868', '375b7b6881284d9c', '81cbf97db5593cdf', 'fbb8d6b9408a13c0', '78153f40a6fdfd67', '6515e94139622d0d', '041995839164ee42', '197f639df425ce8d', '74f6b07a25464bc7', 'a80b012b3a1726c3', 'e0e513ba0cc4ece2', 'ee33e9848460b937', '0981c9e4524d0b2c']; context = [[4, 51], [34, 112], [1, 56], [83, 152], [4, 51], [41, 119], [122, 196], [4, 71], [1, 56], [3, 73], [120, 194], [4, 57], [62, 130], [76, 140], [19, 64], [5, 82]]; loss = 0.016479 low_pass_filter = 0.300
+Epoch 0: | | 40889/? [7:08:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 40890; scene = ['99d123b0284ba78b', 'ddb24003ba549794', 'c0c7d0c3dea84825', '8c96adc08ff4d80c', '21270b591ffb942b', '49a21bd94944d62d', '761dfd55c3557aff', 'af38698d94964599', '01f034d17b3cee6a', 'c13c2d4b3e68a642', '611da23a8ef358ac', 'fd9a558bca043974', '2ce94288c2c257e4', '30fdeea829c306d2', '0b49ce385d8cdadc', 'a7bb9bd60c7fde79']; context = [[14, 79], [39, 84], [3, 60], [39, 109], [67, 124], [13, 58], [45, 129], [0, 46], [38, 95], [25, 73], [21, 95], [0, 73], [48, 104], [121, 205], [80, 142], [20, 74]]; loss = 0.018139 low_pass_filter = 0.300
+Epoch 0: | | 40899/? [7:08:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 40900; scene = ['c9a10949b21f67db', '256301b03aecd7d9', 'cb8acf06bea4fa67', 'c3a4402cf7116541', 'f200ab4d6709a626', '4277d982646685fb', '13f706ce05d5746d', 'e2efa22c28e4d27a', 'e9ed178ee8b9c40f', '3b7a2b88d554d67b', '214621bc4a448f70', '823a32785927191a', '112ee2bd1c2b61cf', 'c9f4fa78c5198a38', '3d30b440244efcd5', '8624ee0839cb6e4c']; context = [[147, 212], [11, 77], [66, 124], [61, 132], [2, 60], [79, 125], [5, 70], [7, 60], [11, 91], [46, 120], [35, 98], [8, 67], [6, 85], [19, 71], [6, 56], [51, 100]]; loss = 0.015523 low_pass_filter = 0.300
+Epoch 0: | | 40909/? [7:09:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 40910; scene = ['13a1b330d7a46e0f', '15cd69baed84dc6e', '357c34539592a013', '482411a57b1a83f0', '9adb745c741c85e0', '2da0d2a359988cf0', '39ba141a740bd82d', '2a157e573ea82340', 'd60624e14709aca8', '8da1bafec04ced57', 'e90ed5155007d77b', '8169c8faa57d4f73', 'd3be28b87efbb74a', '6266a30f21d42bc5', 'dc82737a9ed81ffc', '3a51433314e31d1e']; context = [[87, 161], [41, 114], [124, 214], [8, 84], [10, 76], [2, 58], [14, 73], [2, 56], [37, 86], [104, 192], [27, 110], [138, 195], [77, 146], [46, 123], [11, 70], [19, 89]]; loss = 0.017654 low_pass_filter = 0.300
+Epoch 0: | | 40919/? [7:09:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 40920; scene = ['36cc03a02e240074', '94a380cd813f4f2e', '5d890cd9c0c1a914', '7415ffa5c457e330', '905022e04c9c37f4', '2f29c2d9c27801a9', 'efd029ba74d35034', '25dbbc42051cfb3f', 'f200ab4d6709a626', 'c3a4402cf7116541', '1b8cf205ff599ca2', '3561258af910da67', 'ed0f0f7c77d4a4c2', 'b011fb585330edac', 'afd52eb8f1650661', '256301b03aecd7d9']; context = [[1, 69], [34, 82], [13, 103], [2, 48], [139, 225], [2, 71], [61, 122], [14, 75], [0, 60], [28, 76], [5, 60], [0, 45], [14, 71], [47, 120], [21, 72], [39, 110]]; loss = 0.014538 low_pass_filter = 0.300
+Epoch 0: | | 40929/? [7:09:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 40930; scene = ['d575f94bb4da75b4', 'd486ec050db8bc95', '988cf7ba402d24b8', '16ca0782bf0e2517', 'c145a781129d6be3', '470c10c89ebbe268', '400de93f07b31ef9', '884cb963a1fd3567', 'cca58498a1187b97', '68a9071e174440c0', '521ab09b75f9f05c', 'e13c05a47e3ccd91', '7e35fff1a63d375b', 'ccc911bfc1da5add', '3294d351159f7f8a', 'e44658a3501601eb']; context = [[5, 54], [0, 82], [7, 55], [28, 117], [0, 60], [31, 83], [10, 84], [124, 199], [5, 82], [6, 71], [67, 121], [6, 73], [160, 211], [209, 272], [1, 89], [12, 89]]; loss = 0.016938 low_pass_filter = 0.300
+Epoch 0: | | 40939/? [7:09:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 40940; scene = ['709476c26a219c69', '718a14926e4ab38b', '663a8a7582d050fe', '166f9c05d54a10f8', 'bace6aaf91d1dca4', 'f62a962df5c26a1a', 'deefb03aaa86c7bf', '438a8f984c2a3059', '476031f93fd173b0', 'c6c62fcc26699f1c', 'e2055fd77da8871b', '55887fb50e8e3b55', 'b6699f4d039a5b06', 'ffae0c358d55ccd6', '2054cdda3bb0e2fa', 'c4064076b7e5e42b']; context = [[0, 68], [24, 85], [16, 87], [2, 79], [24, 88], [0, 55], [110, 191], [11, 100], [40, 113], [3, 71], [43, 117], [30, 95], [2, 56], [0, 59], [210, 267], [25, 98]]; loss = 0.014973 low_pass_filter = 0.300
+Epoch 0: | | 40949/? [7:09:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 40950; scene = ['ed074cd40dc33596', '8ec27dc882d87cab', '1c124b91c6ee92a5', '4c13c320c47ef017', 'e2128a609ff89c4b', 'e79947f7de6aaec1', '62fb41a11957144d', 'a1541d6ccd3dab8e', 'dca6abb2225c1240', '5f1df53ecde43f53', '5cd4bb35d88b3270', '755d70dd85ce7359', 'c273ffa74a4806b5', '4703b1305fa74c5f', '6633e46bac1e9dc7', '2247708dedb7d303']; context = [[40, 96], [14, 80], [23, 112], [13, 81], [2, 83], [25, 98], [2, 77], [40, 98], [12, 80], [2, 68], [3, 60], [54, 128], [104, 166], [9, 57], [41, 100], [3, 69]]; loss = 0.016887 low_pass_filter = 0.300
+Epoch 0: | | 40959/? [7:09:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 40960; scene = ['b6fd5085cd94fb12', 'f289353b04210ce2', '2d4274c201aa3953', '4f37cf41bcd303b6', 'f7e2aedf86e18a26', '388833ad509005ee', '848119dcfcf03f9a', 'f243736d9fd3db47', '58b7ae257fbaf6a8', 'dfc00e500e9b07b5', '834e851000651b8f', '1490c145692a1899', '34c2a8d43980e026', '342ff7b7111b53c1', '8c027881f63dc6f3', 'd740337a85eb508f']; context = [[4, 71], [3, 55], [16, 93], [94, 174], [52, 137], [29, 105], [40, 122], [14, 76], [16, 72], [20, 110], [19, 99], [8, 80], [142, 229], [69, 134], [7, 89], [62, 144]]; loss = 0.018231 low_pass_filter = 0.300
+Epoch 0: | | 40969/? [7:09:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 40970; scene = ['3310d73a07d96447', 'd46714114dc7f60b', '7649b3021b8114b7', 'c7edb447ee1e1d11', '3f7aa501636f4143', 'd387c92fcf771ad6', 'b07efe43032c5c9c', '3ec03e48f3b1bacf', 'c6c7bbd3e677e11e', '2278d80e7897dd5a', 'cc4d298f4c09ac47', 'a75d63654365b43c', '9efccb0c776afbaa', 'cc1a4a14236ea89a', '4e6ba49f61d7c52a', 'b48dc4df6fb02f4b']; context = [[24, 100], [2, 69], [12, 94], [155, 232], [21, 93], [156, 239], [14, 70], [113, 186], [173, 235], [4, 72], [11, 92], [161, 249], [9, 61], [11, 85], [0, 52], [22, 70]]; loss = 0.015145 low_pass_filter = 0.300
+Epoch 0: | | 40979/? [7:09:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 40980; scene = ['bdc6b765ee1ee3e8', 'a480e387201663b2', 'f013b6c547a10306', '8e20ab013d98087e', 'a410f6b0ac0ea757', '0065a058603dfca4', '5e8c93924a02ad56', '4ee6200f31e3134c', '69acf7fee12cf0c7', '02fb6de8c497b963', '6d34d343b03f926d', '16c8838c274625d4', 'b8d9b237d3131022', '760e5634a2d20b4f', 'dfc803316b289c97', '8d72de31083eba26']; context = [[14, 94], [58, 148], [64, 112], [99, 182], [12, 61], [33, 88], [74, 158], [170, 223], [41, 101], [20, 103], [19, 78], [8, 68], [77, 122], [3, 51], [1, 68], [143, 191]]; loss = 0.013626 low_pass_filter = 0.300
+Epoch 0: | | 40989/? [7:09:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 40990; scene = ['52ebdccbea335ddb', '97543439571f8415', '68dfe6f012c000bf', 'd6d5ca952b430268', 'a7fad04f3b5ca206', 'ef9c07a7293555b3', '2a512828633957b5', '160eab244cffa6d4', '96e650d88643f131', '0aaf3b090165ec8c', '95da46cc74bd865f', 'e2ef2c40eeda8f3d', '21b43052b04845cb', '0e3dd3714c78c34b', '1468285f818227c3', 'f5c74a79946b8cca']; context = [[10, 68], [18, 68], [115, 205], [3, 77], [49, 125], [7, 73], [95, 181], [3, 81], [13, 60], [84, 138], [12, 82], [4, 51], [0, 79], [6, 94], [4, 65], [0, 54]]; loss = 0.013626 low_pass_filter = 0.300
+Epoch 0: | | 40999/? [7:10:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 41000; scene = ['11321c28beefd319', '78e0a874f9df94af', '50c8a233bd82a613', '42ffa402b6042d38', 'ac584e6fc77676a4', '00b5cecbfd7f9a51', 'a94a86b19490f511', 'be5fc0ef45cefad8', 'b0f18cc31444daf2', 'e6d3fb45dcf5682f', '23f2830afef538db', 'bb210d97a67bbe25', '779f740981453935', '3f030393b67f422a', 'dd6fa33f1abd3e79', '8e6f50914c157483']; context = [[5, 60], [19, 73], [73, 147], [68, 141], [43, 123], [145, 221], [34, 79], [20, 70], [6, 60], [47, 126], [23, 94], [3, 89], [5, 50], [40, 89], [195, 251], [22, 79]]; loss = 0.016685 low_pass_filter = 0.300
+Epoch 0: | | 41000/? [7:10:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0validation step 41000; scene = ['0972074fece891f2']; context = [[7, 87]]
+Epoch 0: | | 41009/? [7:10:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 41010; scene = ['02a36358f7cff958', '99635d3040198ba3', '5e5c7e1e33673b7e', '839b542ef0c0696e', '83d154863471b87c', 'd24023f4b892279c', '6f82fc8f2c6cf936', 'a06c5145c9419ec7', '8cacc3596b722653', 'da794864ac5ff11d', 'a2ec0615e2fb379c', '769783c83e98144d', 'f95facdccf8cb319', '746a2e815cddd8ab', '028c6f1113a68969', '555f1845dcb38293']; context = [[25, 77], [0, 58], [20, 88], [20, 83], [157, 234], [18, 81], [8, 91], [95, 140], [59, 149], [2, 62], [8, 74], [14, 76], [204, 255], [133, 198], [7, 76], [39, 92]]; loss = 0.016263 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 41019/? [7:10:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 41020; scene = ['f6066db31c658d1a', '7d28350d7344ada2', '26cf73d2eb11939d', '936cfb94d0fa2d95', 'ba5f37a10c6dd859', 'c54a9bc3c2a962cd', 'e452811140e730af', '94c8f1c6ee33001c', 'c177284557cac835', '057c338b658d2c6b', 'ddc351e8ca2cd299', '6b503257ae05df64', 'fc46fa9bcb31d151', '3d4952a1e8289a7f', '78439ac06504df45', '7a39bd58ec1d2ccc']; context = [[1, 57], [87, 175], [2, 50], [7, 70], [11, 66], [34, 120], [2, 51], [11, 64], [116, 165], [5, 78], [100, 149], [199, 264], [118, 181], [13, 65], [41, 86], [24, 80]]; loss = 0.012479 low_pass_filter = 0.300
+Epoch 0: | | 41029/? [7:10:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 41030; scene = ['268412437e9d4613', '13e9968df59dd316', '13de7469e2069270', 'b9af4d213b624caa', '5e1eb12727087b20', 'bdff8b33200a0442', '7b6802baf4779efc', 'b30ffcaff8599d24', 'e4554693e881d6be', '67cdb94d2911494e', '2a91efabd709544b', '00c7f771cf92741a', 'a5c10a93cd252db3', '1570f8996b68e773', '09b303aef92abcf5', '35d5377711a700e8']; context = [[119, 165], [75, 141], [3, 79], [2, 76], [3, 71], [11, 70], [0, 56], [69, 133], [4, 66], [6, 69], [15, 86], [8, 75], [28, 100], [23, 69], [15, 75], [6, 81]]; loss = 0.014863 low_pass_filter = 0.300
+Epoch 0: | | 41039/? [7:10:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 41040; scene = ['34dfa3f97b956c75', '1faad50855fe9160', '44ab1ad50cc2d30a', '022df199d99d736d', 'f421d632fde08451', '1300df0c4d61179f', '3994710eb422e589', '7bc331c6216a1cef', 'dd70439f8c63e2c9', '01e2bd7042fb4bd9', '778b069f291493b3', '52dad29ccea8dfa7', 'c702b9672415a091', '86b6bf5ba97aca90', '805e0eeb667b8d69', '69f7e4f788c49aa4']; context = [[47, 127], [12, 68], [5, 90], [26, 72], [85, 135], [9, 54], [177, 246], [11, 85], [17, 99], [25, 112], [0, 51], [3, 52], [5, 56], [68, 137], [96, 179], [53, 108]]; loss = 0.014417 low_pass_filter = 0.300
+Epoch 0: | | 41049/? [7:10:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 41050; scene = ['f272bac50c6f6f32', '22e44c9efb4ac335', 'f5a4588213a5cdfa', '4d7eadc5b342a7c3', '119c24c05102a5b5', 'd8a5d7ed2df85474', 'acd2ed932e21f625', '527a2de7a08dfc20', 'e8164998fa4d92a3', 'a6e4e5e1b5d1539d', 'fb215dfa4249d979', '864148d49cf777cb', '60d80d50cc0bce1b', 'eabcce6ee6da5414', '09fd211b89bd6521', 'c12c65057bc900bd']; context = [[1, 67], [0, 51], [8, 54], [32, 116], [3, 56], [22, 110], [4, 51], [62, 120], [150, 219], [25, 80], [52, 110], [205, 269], [8, 73], [78, 157], [57, 102], [185, 242]]; loss = 0.015124 low_pass_filter = 0.300
+Epoch 0: | | 41059/? [7:10:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 41060; scene = ['e21474479646bab2', 'aba8500bf55e59fa', '254d6c6b8f9508d0', '0b13ca88611e6d29', '024db652dd001772', '91ce38958fa8ee3e', '775726506dbf05b3', 'b13f185b7aa9c6b1', '6be67867ef006e73', 'e45c9f66012ef731', 'ca1aa5c83f9fd74b', '5ecd4f2761d9877c', '5e4c7d3038be2c01', 'f2685cf241827826', '40eb87a9f7a58fb4', 'a97e62912a006d59']; context = [[100, 189], [15, 97], [7, 63], [6, 81], [9, 69], [27, 73], [5, 71], [185, 236], [2, 54], [138, 227], [17, 64], [212, 264], [190, 238], [11, 60], [126, 199], [2, 48]]; loss = 0.016923 low_pass_filter = 0.300
+Epoch 0: | | 41069/? [7:10:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 41070; scene = ['410d8cd6f84f655e', '93f798863c448d60', 'c8f7ce4900a24c98', 'bd3933e5e059ca34', '7e7eef981c97198b', '1b8abed26f9eff1b', '9c9f64ff2ae8582a', '0c4e347fdc75dbbe', '47d395138d7b81fb', '2331e5987bb9cbae', '39ed8d2efe760b94', 'd7a9e729f95cb8d1', 'a5e4fc625c25e606', '482f8d0365549484', '3a739b8cb2e4e497', 'aa7bd04f00a56e75']; context = [[2, 78], [49, 97], [3, 69], [62, 108], [26, 108], [111, 196], [37, 105], [35, 92], [47, 116], [136, 213], [1, 54], [20, 81], [11, 82], [0, 69], [97, 182], [19, 98]]; loss = 0.016774 low_pass_filter = 0.300
+Epoch 0: | | 41079/? [7:10:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 41080; scene = ['574484ac00408ade', '8b870e1872a58cbd', '90756435eea8863a', '92d3c2c9a750f642', 'dfae57cfea248498', '666e4b815a3d887e', '8f837b2a33f1d2c2', '1014307873038592', '86fd7ef67ddd4734', '18b31c79a900aaf7', '06ca6ff75fc6c106', '131c73804621faf9', '7b4f695aa8afbeb1', 'a1101ee8ddc4cc9b', 'ed717c6887ee6fe1', 'a14837a656c35887']; context = [[4, 58], [84, 152], [22, 80], [4, 65], [48, 130], [12, 57], [31, 92], [158, 234], [46, 104], [7, 68], [16, 77], [13, 70], [51, 100], [2, 73], [2, 91], [13, 62]]; loss = 0.017805 low_pass_filter = 0.300
+Epoch 0: | | 41089/? [7:11:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 41090; scene = ['4380710fe040e93e', '152ec9bbbb4d13d2', '3ffaf1e704427fc8', 'ced2fa332f79e8d7', '3c6f08385f14dcef', 'a079d54e5e92105e', 'b567b028a8f5866a', '43b7abf89a494856', 'cc155e5c5b49b6f8', '1ff9ce1364d2efb1', 'a9a48de4023eeb04', 'c9e4480bbfb4e0db', 'a0bb4a665ee9fd46', '863150365b96d490', 'ec6f1f361e4e58df', '6cc7459261d5ef97']; context = [[53, 107], [0, 71], [7, 53], [105, 182], [49, 129], [21, 72], [5, 81], [74, 148], [3, 77], [23, 98], [33, 103], [135, 205], [3, 67], [9, 81], [43, 107], [1, 83]]; loss = 0.014055 low_pass_filter = 0.300
+Epoch 0: | | 41099/? [7:11:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 41100; scene = ['224077c8876d132b', '2209341e8bd65dc2', '00eead9faebb6daf', '7de2ca731a4af54d', 'ae08cd671996b1ff', '714ac52a46a29820', 'e28ffd2fc4627268', '4ad89ebda1a41a62', '963e7042792f6add', '90af47b784746da8', '17d8d9419cdc2d4e', 'f6b63e20382a6052', '044be76874e9fea9', '9bcc2b1ebca560c9', '06a20003e4dc18c1', '7544003fbb7b9828']; context = [[0, 90], [49, 104], [73, 130], [129, 197], [72, 147], [0, 45], [1, 74], [1, 59], [5, 70], [24, 91], [78, 132], [77, 165], [63, 128], [147, 198], [12, 59], [23, 91]]; loss = 0.016801 low_pass_filter = 0.300
+Epoch 0: | | 41109/? [7:11:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 41110; scene = ['6e16f2a6fd80bce9', '73a5af87f854aa5d', '5c0a8d4d61b56c5d', 'c6cea245140c3f81', 'ff47d0c7e81c3943', '1ef0cba4ecae4ed7', 'c16696d55dc929b2', '574b47c091a38f3b', '324325269759109c', '6e3783660c06d66a', 'a6f85aca012d064e', '0f21e75ddeeed681', '100331aa943d564d', '88f14a6ebd352597', '0add7aa2fc8a9e51', '8c7aaf818d2ac1bc']; context = [[5, 72], [8, 72], [2, 71], [206, 274], [58, 126], [24, 80], [6, 91], [6, 82], [5, 64], [1, 77], [8, 74], [14, 65], [13, 93], [6, 80], [13, 73], [22, 105]]; loss = 0.014843 low_pass_filter = 0.300
+Epoch 0: | | 41119/? [7:11:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 41120; scene = ['e9b471036d4d32ee', '33ec839775a753d8', 'b5ad207c172544b4', '1c2c01a428e98033', '22e2907594eb8988', '6539a1c57c640f9c', 'f5fd4c9ccb08fa6e', '953004cab8791553', '5393d8747f383c43', 'ef5524c633cc7663', 'c05986fca7a09265', '2dc12db33c77f91e', '4d90373b73dfd8b4', '31bad60f5b6bbd14', '0ea8fcc06a4a9fcf', '08527853c5cf3f4d']; context = [[0, 48], [17, 79], [49, 103], [0, 62], [72, 150], [46, 122], [45, 96], [15, 85], [87, 174], [15, 75], [16, 77], [8, 56], [23, 71], [19, 74], [2, 52], [1, 59]]; loss = 0.013387 low_pass_filter = 0.300
+Epoch 0: | | 41129/? [7:11:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 41130; scene = ['91c2d513227d9916', '7ea719e779680555', 'b063b09f28a7f6c4', 'b4c49aedc8faef83', '88a0267e41b851f0', '79ff973d2d3b514d', '58295ed45e177355', 'eff21a0a512fd6b5', '4eced6903a964261', '1d48beb841b5ecf6', '575b687507b7dba2', '81a60582d7390e95', '0e96455ada37fdf7', '82c68ae3dff8ccca', '89bd3feab45c5455', '0e3a56fc6fa4f79d']; context = [[13, 90], [9, 82], [68, 136], [5, 63], [0, 64], [2, 57], [91, 171], [2, 86], [7, 72], [19, 69], [19, 72], [76, 165], [6, 74], [85, 130], [0, 75], [5, 76]]; loss = 0.017449 low_pass_filter = 0.300
+Epoch 0: | | 41139/? [7:11:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 41140; scene = ['d7147c4bf4c85bfe', '4774ac3c0d87204a', 'fc6479bd5c3fe413', '5705a9af99505ea3', 'f2a043c2bf7dd45e', '08db89a1f93cb339', '3d896caec571f0c5', '219cf573d508d23d', 'f7dc4697cd71b0ab', '5dab5955ca910d26', '27765dfc08ed269e', 'd81b83c06200192a', '95c82e759ee271c4', '5fda305d4227ad1c', '21eed0b2652e66d7', '4ce102ed6fa5346f']; context = [[59, 110], [115, 179], [188, 246], [160, 220], [8, 81], [49, 103], [12, 91], [2, 54], [133, 178], [13, 78], [5, 72], [85, 139], [11, 86], [32, 83], [89, 147], [22, 97]]; loss = 0.015790 low_pass_filter = 0.300
+Epoch 0: | | 41149/? [7:11:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 41150; scene = ['f10c940ab4a81f12', 'e82ae746fe86d59a', '20d65cdc3bd801ab', '30635ca8f58d53fb', '711049f79f182de4', '783cc6843cfac78d', '5e28f56e00a41125', '5c7e81ed74cd0615', '8e01007ac5b9a2d4', '64596f1845d89dc2', 'c51c7bc0c8151abb', '6e46379a7ad5ea92', 'f1b5a6dcfedb390c', 'd1f9017dee739f4b', '6fe9eaa94a71cd5b', 'f141d7216dcdfc5a']; context = [[134, 215], [1, 46], [28, 90], [40, 95], [45, 130], [86, 167], [3, 79], [0, 45], [198, 249], [194, 273], [1, 80], [12, 92], [61, 142], [21, 104], [42, 88], [0, 75]]; loss = 0.015717 low_pass_filter = 0.300
+Epoch 0: | | 41159/? [7:11:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 41160; scene = ['781c2fc666209b94', 'e3d46ad36a31f894', 'd632b201605a656f', '6077f867625ee34a', '519a77d8094dafd0', 'c008476d54d1ee07', 'da0c71525ec16c34', '651736ee17bbb42d', '6a8fa817af9fabbe', '01fbcb68566675e9', '461c4ad72745996f', 'da887eb3ac647f2c', 'b029a9bcd2651daf', 'd3c12a719176caf4', 'b41e19a320fab192', 'c0803f4d1cb0eeea']; context = [[3, 88], [48, 110], [67, 154], [55, 115], [11, 75], [0, 57], [9, 97], [4, 89], [16, 77], [18, 75], [135, 184], [103, 160], [2, 55], [6, 81], [0, 52], [31, 114]]; loss = 0.016152 low_pass_filter = 0.300
+Epoch 0: | | 41169/? [7:11:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 41170; scene = ['742400ae02982a58', 'e8e115464fbe84ca', '5b24cc641fd8e56a', '32a01427f04b7038', '463338d27813b202', '7623ff6b4eaf4cbd', '91188f3f75824ae6', '0a7d39becb0a9771', 'a50ad9f471067a18', '8f3e0781466f9752', '4d6386d7cd6a39c9', '613b15bcf32abe86', '42041e0a1d0a2be3', 'eb91912e63633cdc', 'a43792bfc6bcf95b', '274f6397d8da559d']; context = [[161, 216], [171, 243], [7, 70], [46, 106], [18, 63], [78, 160], [25, 92], [21, 88], [71, 137], [26, 89], [36, 88], [32, 92], [0, 45], [150, 205], [38, 126], [109, 180]]; loss = 0.014439 low_pass_filter = 0.300
+Epoch 0: | | 41179/? [7:11:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 41180; scene = ['e2b2ec19777a57b1', '0505defd59ecbdb2', '5cf42e59740b8d9b', 'f91b5035c92ed587', '8fc141c868e7d6f3', '44938f8bd7d83590', '60d3394314e4efd9', '163e2dae752f2e08', '10e61d26bbf88ffe', '04653228d416959f', 'f1dfd9f275bfdb2b', '5edf50794aa6642b', 'bf171a0b8ca0c7a8', '4d1600d81f68f156', '7af404ed5bc4ae26', 'e9bf2976170647a5']; context = [[5, 79], [85, 167], [219, 265], [2, 82], [19, 93], [4, 60], [181, 238], [0, 77], [8, 84], [0, 64], [21, 96], [42, 93], [0, 53], [6, 51], [3, 66], [9, 78]]; loss = 0.016134 low_pass_filter = 0.300
+Epoch 0: | | 41189/? [7:12:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 41190; scene = ['f1be0daea4462dd6', '1176e233bfb25a61', '3d3c86d6e062354a', 'dfe8c32f21d4e1ab', 'e3671828d14a9106', 'ffe2fb4a8427467b', 'b0b927381cfb029b', '97e9ea755077ac70', '61b60c1a300d909c', 'd9ba9b4f5fedb65a', 'f51801efa09d2209', 'ecbd583dbf8f0b2c', '262491e354ac8385', '7cdafd4dd1e7898a', 'f9dc01b7d2ef31b2', '9cc91556f912bcc6']; context = [[9, 57], [8, 68], [2, 76], [87, 136], [1, 67], [132, 189], [110, 161], [7, 58], [0, 57], [172, 256], [0, 45], [39, 94], [0, 78], [11, 63], [12, 89], [48, 119]]; loss = 0.012698 low_pass_filter = 0.300
+Epoch 0: | | 41199/? [7:12:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 41200; scene = ['3197cdd0eadf8ac3', 'c17cc0c48c99b154', 'a5f0da9ffd996453', '814e618d3d65089c', '452e7bdd3f9b37ac', '35303245a2061922', '6fc4406bcb479090', 'bc6b67a8ae5fc6d0', '324df5024ad8368a', 'af31d1ebd89e6a73', '22ce054461091db4', '03b33e70922541d7', '8f2871f0b0202fce', '45951f552cfd6569', 'f524d18321f538e0', '3a5059538f3a1d14']; context = [[0, 75], [3, 53], [41, 99], [6, 78], [134, 223], [164, 230], [24, 86], [15, 103], [0, 80], [14, 100], [13, 61], [4, 49], [0, 79], [3, 54], [54, 105], [4, 53]]; loss = 0.013460 low_pass_filter = 0.300
+Epoch 0: | | 41209/? [7:12:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 41210; scene = ['827f9147cd39f3e2', '5892be62d259a06c', 'baafaa0a9cddbbb4', '7fd24508f66f31d4', '8ff3b15727d6fa7f', '9e5b0c23b2b7ce1c', '70f18731a05c3d3a', 'ad5da2dbff32a118', '71bb635a79452a2a', '57aa8ea646fd3873', '9aa6a430ba45a983', '2118b6f58a7c23b8', 'af225c1d1a503b76', '5504408192268809', 'a1312f7fbf0f09d8', '5b551abcbd9abfff']; context = [[97, 178], [1, 71], [14, 75], [46, 95], [62, 135], [20, 65], [13, 74], [63, 120], [33, 100], [0, 49], [3, 69], [6, 80], [30, 97], [19, 84], [97, 151], [86, 158]]; loss = 0.014807 low_pass_filter = 0.300
+Epoch 0: | | 41219/? [7:12:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 41220; scene = ['40f0adf015542ac4', '2d6bd788c7a9e7b9', '773672fa68feb0e5', 'b879c79a9c46e9c2', '9078703d92dc9e6e', '5bb4e27b60277cd5', 'da047aebfa3fa3e2', '641609080bcd49b0', 'b612e989a2406b4b', 'bffd28466912a768', '25e9ed466c1826e3', '7ad8fd93e67cf7b6', '38701953a4bda3e8', 'e910143115e8ed0a', 'cfd49a8723e2f1eb', '3dc16d11b753e652']; context = [[13, 62], [82, 145], [4, 61], [2, 83], [48, 126], [71, 135], [18, 84], [173, 239], [0, 72], [6, 75], [0, 84], [0, 81], [155, 206], [10, 56], [15, 102], [123, 183]]; loss = 0.013050 low_pass_filter = 0.300
+Epoch 0: | | 41229/? [7:12:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 41230; scene = ['0836698809f746c6', 'b3c96d2c36c94425', '3d7f5076c683cc80', 'ed738053c763cacf', '5b39212a0664e8c7', 'd27399ddbb98483c', '3670d3f2b5b53c15', '420b61967c60d09b', '0f97723fd22c07c0', 'a74acf99e81d7a6e', '0c25875ac5440b66', '22b97501681b7458', 'b2a77d5fd2f6f773', '55501a15e845b68f', '6587793d3d37d760', '5074e5968d462cf3']; context = [[16, 67], [134, 179], [54, 131], [20, 68], [101, 165], [13, 99], [62, 117], [5, 59], [15, 98], [11, 66], [26, 84], [10, 56], [82, 146], [5, 79], [20, 82], [71, 125]]; loss = 0.012772 low_pass_filter = 0.300
+Epoch 0: | | 41239/? [7:12:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 41240; scene = ['18060d9b9389cd2e', '8e9fcb869497ce78', 'de325a80c227d153', '693058564e542cee', '9379827756f6a6ae', '4de8ddccf7eee0ba', '7f514243a8e4b551', '438dbd54911e9b04', 'd79b8c2b038b19c8', 'a47b488c572774a3', 'ecf309ffadd46a42', 'b66e0f230ed3f06c', '8e30c261124dac91', 'e5f3f15563142757', '9b5af8dcc2af29a9', '48fc4e22319b4fde']; context = [[0, 69], [13, 102], [40, 125], [3, 71], [11, 84], [34, 124], [27, 72], [35, 98], [42, 88], [9, 73], [51, 137], [40, 130], [3, 61], [1, 60], [6, 76], [92, 163]]; loss = 0.019211 low_pass_filter = 0.300
+Epoch 0: | | 41249/? [7:12:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 41250; scene = ['b88b281f64f2c095', 'ac5dbf1f0fb8aac3', 'acf3fd0109a040b1', 'e3004ab618aa0b49', '728091edce9e3d54', '95730fb4e578a66e', '6b4e967ca81ba41a', '1dc2b147a439848d', '67693f88a026e955', '1319170a73cb514d', '6d727b8f5862a634', 'bedba1846d7b3f88', 'fe356da855cd3c76', '54c0968cdfab4471', '9a902960aaa032fd', 'fa42604243a1cf5c']; context = [[31, 97], [48, 103], [42, 105], [11, 91], [30, 85], [50, 97], [6, 62], [5, 90], [67, 122], [28, 108], [144, 215], [6, 61], [3, 63], [1, 52], [112, 167], [60, 114]]; loss = 0.016102 low_pass_filter = 0.300
+Epoch 0: | | 41259/? [7:13:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 41260; scene = ['eb76111359290980', '93dde83dcd181a23', '785a1e5ffc9dd226', '368ddc9b1d4d127c', '45f8df6c049de373', '2ebb9a89cfd43e8c', 'd70991c73ff160d8', '69d079147e4c29be', 'b04a2c353213cab2', '238fee095f631e6a', '3256408a8d621dbe', '9b158471e21a2744', '6bc817f3c0390bc3', 'c0d2d4f9c82235f5', 'dbb19803839aad9b', 'a89c019775e20c39']; context = [[27, 98], [84, 134], [7, 97], [21, 72], [181, 227], [6, 84], [10, 84], [57, 122], [45, 95], [33, 105], [55, 129], [34, 110], [28, 107], [38, 118], [25, 91], [1, 54]]; loss = 0.013615 low_pass_filter = 0.300
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 41269/? [7:13:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 41270; scene = ['0021e3be0043c3b3', '02dfa1c2784f08eb', '491e340a53f1c0d2', '20e52dd69adce3bd', 'fdea8b88ee5b83c0', 'f86cf6a67566bbee', '1b05efe10364c018', 'fa114cb02b25cf9c', 'f0c1455efb8d4272', '83689b78310fab98', 'd196dc894157ca53', 'b095acdded6e47d1', '51906f14ac9f95c4', '0d58b951f36e525e', '0da66e0b84245e9a', '4e63d66b5be95f86']; context = [[2, 59], [32, 92], [21, 67], [35, 95], [23, 109], [2, 84], [32, 100], [209, 263], [2, 54], [21, 81], [8, 67], [78, 128], [19, 100], [108, 167], [4, 94], [0, 47]]; loss = 0.016232 low_pass_filter = 0.300
+Epoch 0: | | 41279/? [7:13:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 41280; scene = ['a3d2514e6567fe0b', '0ceb49cb761bc66c', '9b551ae79d8c7141', '58f512448a5e2f0c', '947f3ba9b79e515f', 'ed38411cdf101025', 'e6b981d699cb4031', '27142daeb7ddc5a8', '5349291b3c6027a5', '334d086cdda32830', '7c4d84983cdffcf9', 'aa296307ca75fac4', '2af39d33e0bf3675', '7eed2a3e13d9dd94', '28029035a9f310b2', 'd819c632b16b1900']; context = [[113, 159], [49, 104], [1, 75], [10, 83], [91, 175], [8, 73], [98, 173], [91, 165], [67, 135], [3, 55], [7, 76], [22, 85], [0, 74], [156, 224], [27, 81], [6, 69]]; loss = 0.013601 low_pass_filter = 0.300
+Epoch 0: | | 41289/? [7:13:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 41290; scene = ['1f25aecc650a6852', 'c1cad7540b667a53', '95eac29b72dbc79a', '0a6608f992d052c9', 'e5036ebafb2c7a4f', '0f3f75855f29f30f', '6adb937f72020aa9', '1a0f85fd8b2981b8', '3ab77edf1ebc9d0f', '12a9071fdbc06fee', 'ff41f8b6a0af9382', 'c05a6c1249a7fc86', '3c5fb699269c6353', 'eb9514b9924bd0c3', '283b240cbd81ebc7', 'b1026413a8dc3f73']; context = [[16, 105], [31, 112], [49, 110], [95, 160], [69, 118], [100, 151], [12, 85], [13, 92], [56, 143], [115, 179], [202, 253], [123, 196], [167, 251], [37, 110], [16, 62], [48, 124]]; loss = 0.014553 low_pass_filter = 0.300
+Epoch 0: | | 41299/? [7:13:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 41300; scene = ['0415ec2bb90458e3', 'b192a5f7772b70ec', '52079a38d11843c2', 'd323823a3d8dc076', 'c16752b5a01dec29', '3e29b2bd42f47e28', 'b0e181819c37efb1', '4fe25eb6dbfcf1a7', 'df48ab2d88614a41', '93db697953cb8fbe', '4e12f7796feac812', '5500c64041dcdc69', '93daf4ce55a5d530', '302b190107200166', '880a284f8c74d2ab', '99300092146a884a']; context = [[2, 58], [175, 242], [27, 113], [36, 106], [125, 182], [10, 100], [40, 127], [0, 55], [7, 85], [24, 79], [20, 76], [0, 63], [128, 209], [6, 66], [7, 73], [5, 73]]; loss = 0.013951 low_pass_filter = 0.300
+Epoch 0: | | 41309/? [7:13:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 41310; scene = ['6c3c828eddbaccb1', 'b14dc2418422d6f1', '76c9bd7be3e09ab7', 'ed45976a35ed3fc0', 'e46969010a61dadf', '6799dafe522e51d4', 'd0f713088a1dbe7c', '595bf8d669a979bb', '8f8259fa3b72216e', 'c56ba8717d50a07f', 'a2221580995f8722', 'f8bc5a1bf0e97746', '6910b34e5b91b5f9', '80e6fa6ebabd2b5b', '3005b48849426b4b', '8da50607ce8939fb']; context = [[24, 85], [10, 99], [5, 58], [13, 64], [1, 60], [98, 188], [5, 67], [32, 112], [11, 84], [113, 193], [70, 123], [11, 74], [27, 103], [74, 124], [10, 90], [24, 81]]; loss = 0.016797 low_pass_filter = 0.300
+Epoch 0: | | 41319/? [7:13:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 41320; scene = ['8c311b5fcd83141e', '8c0113b9faa62237', '07fd65b47bee9efa', '63e1901d4e20ddf2', '0325d22eea2e861b', '1f2afa101143e0f4', 'fdd8371c6a869316', 'dbed3c41e60b4ad4', '9badc4c9992c89e4', 'b2b595b66918848a', '940a1f585a88f1ff', 'd0d87895dd702969', 'a026dc2e970037f7', '7493817ad4cc83ef', '99418c2723e0d2bf', '6ec4ae75a97ce82c']; context = [[0, 45], [6, 52], [37, 96], [41, 96], [26, 82], [56, 117], [54, 115], [70, 153], [213, 265], [7, 90], [40, 125], [87, 143], [41, 104], [129, 195], [153, 221], [110, 175]]; loss = 0.012415 low_pass_filter = 0.300
+Epoch 0: | | 41329/? [7:13:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 41330; scene = ['0b3a912a284f41db', '2ea9e3568a4d120b', '5dbcbba490ec1696', '5a009a925d1f7941', 'c31a1cb20a151f9f', '81bbe2b570208941', 'e321918f2c1dad3d', '3d1834e1cb8a0a56', '5b4327f91da2fa34', '5ff49d7da5abf152', 'eb44011752cb1c5c', 'ece875e12fa6f3e5', '0f62fa07d5678c66', '7e6aaad4b4178031', '8e5b8134c3e523b7', '7e3f87e5affd253f']; context = [[185, 274], [6, 91], [99, 177], [122, 211], [42, 128], [17, 88], [22, 96], [18, 64], [30, 89], [3, 68], [32, 102], [40, 103], [0, 45], [3, 48], [0, 51], [42, 108]]; loss = 0.012905 low_pass_filter = 0.300
+Epoch 0: | | 41339/? [7:13:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 41340; scene = ['d934a2c5369cd5ef', '3802ddeefb223acf', '5637bc1cceefd79d', '7fb9eb21253b0337', '6050b46403dc7993', 'be03554d52030624', '0c86c60b5b3d3aca', '522e486762dd40e3', 'afbfa60fb5a82685', '2f9c9970cce165c0', 'b2f79e32a7cbc795', '9f05e6c83ef543a8', 'c5d27734798af55b', '8b303d2bdf4ff564', 'f39a34c3d2120f0c', '2de8c4e05ecaede8']; context = [[27, 110], [9, 69], [111, 194], [31, 93], [8, 70], [77, 127], [0, 48], [14, 70], [20, 95], [33, 115], [3, 55], [9, 65], [7, 86], [44, 99], [7, 72], [49, 112]]; loss = 0.018553 low_pass_filter = 0.300
+Epoch 0: | | 41349/? [7:14:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 41350; scene = ['5979f56b953ff1cc', '4d40dbdbce44d5dc', '5258d714dbd81b7a', '1b29bfcdb2b14d83', '80cd321297e1960f', '8233b3467c6f4f08', '5ab82d98941fd59a', '4dd89c9e62c601a2', '9c3ebea75620b57e', '3e715f03f925cf3d', '8584676cfe1afe61', '9c74a21848354b9c', '975074dc77b4b39b', '1ebe12e22110e0a7', 'b4741c980124cd31', 'd71d44024b5b0d3e']; context = [[3, 60], [19, 65], [30, 94], [9, 63], [175, 264], [3, 81], [183, 271], [0, 68], [0, 54], [7, 54], [1, 50], [178, 223], [0, 74], [15, 81], [45, 94], [2, 56]]; loss = 0.015368 low_pass_filter = 0.300
+Epoch 0: | | 41359/? [7:14:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 41360; scene = ['cdcd7bd6217eaae1', 'f33e63a20e080399', '211054510cc7e332', '69ec027b22fd5db4', '3aa5ea79245df8b5', '180c4ba9f87f427d', '29c79f791d50eb63', 'ed3fda3e5a79de50', '8463e86cf267681b', 'e7fec1ee1cf98b16', '65b05dc4cb31bf45', '566f41051767b7a4', '1918093c072f7cdd', '17db1dd300d539f5', '9d0d0150c1251962', 'e70a3febb8cb8a76']; context = [[3, 49], [8, 56], [10, 66], [20, 92], [19, 83], [7, 65], [2, 83], [7, 64], [45, 134], [68, 124], [10, 71], [144, 195], [0, 53], [58, 110], [3, 71], [80, 138]]; loss = 0.013365 low_pass_filter = 0.300
+Epoch 0: | | 41369/? [7:14:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 41370; scene = ['1d8f8faa8a7ec751', '1716266141ef92bb', 'f730cfa1c51fc30b', '600f168a8eabe775', '7f1b2d73cffaedec', 'c11e71447a5d1611', '0ffd385bf24b6e10', '96b5fb358789a92d', '26a9ac76550eb817', 'a183ebfc0c3dea6f', 'c6362c016a8d8257', '21486972a7879594', 'f643a053978150d6', '20afbe6f261cd61d', '6048b574a2da8f7e', '78b960709b194514']; context = [[1, 58], [13, 77], [39, 92], [0, 60], [23, 86], [72, 120], [150, 220], [10, 66], [158, 222], [1, 51], [45, 113], [0, 48], [14, 104], [179, 254], [88, 143], [10, 65]]; loss = 0.017704 low_pass_filter = 0.300
+Epoch 0: | | 41379/? [7:14:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 41380; scene = ['d5384f379810516c', '4bdef6c0c3e06ae5', 'e89204339a7669ef', '9024684dd45d925a', 'a017b0cb12cc18ab', '541ae18b8f936d11', '0d93e2b216166389', 'bc499babd52242f7', '753eed47a45ccfa8', '10cf209464d06e23', 'c719ca7c3e40e8d7', '9a03d88184340b38', '41124e4adc65cee2', '70fb3239e4843ac3', '99f92784e60cc38f', 'bb38e006ba4dfe71']; context = [[110, 170], [17, 99], [3, 61], [74, 159], [3, 59], [12, 64], [44, 120], [29, 106], [10, 80], [0, 59], [51, 130], [19, 101], [11, 59], [9, 76], [5, 95], [34, 91]]; loss = 0.014374 low_pass_filter = 0.300
+Epoch 0: | | 41389/? [7:14:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 41390; scene = ['3871dea7a39088eb', 'b4387b50f12cd03f', '05c53623df72da3d', '1bcb0cd2d7fbe4e3', 'd88068c038b9a8c2', 'c0f0b9fb3a20df47', '885c91e8c9e5d66d', '8c6c81a3e5a3571b', 'de0c2fd682eedb42', '1b585c8a5c9d0228', '7efe572aca0b57ef', '5678b255dedbe157', '3fc603b4c4531c11', '7dc5c394263df267', 'a9f8cdade19d492a', 'f52c70025f40e56d']; context = [[7, 63], [2, 58], [86, 169], [106, 192], [122, 174], [79, 137], [11, 56], [37, 126], [54, 123], [26, 94], [142, 224], [17, 91], [23, 91], [83, 150], [158, 219], [5, 68]]; loss = 0.015539 low_pass_filter = 0.300
+Epoch 0: | | 41399/? [7:14:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.0train step 41400; scene = ['f9f240e5d3cc903d', 'f4c1819dbccb953b', '1ca246326f3ba534', 'd56ac01183d2f244', 'e0bdb159d8c138c2', 'b8f235ecb665c9be', '41ba1a6b8d923830', 'de7a63a9ff99be70', 'cf7ae8e62157a6f5', '41e72019df0f1014', '452903cbbb0f87db', 'b5dbbbf30fc7a602', 'd70d0085aaf262e8', 'd6c25b52e39788fd', '8eb7ab71f603c9d4', 'ff87c19446c6325e']; context = [[26, 71], [100, 151], [123, 177], [121, 172], [3, 66], [29, 111], [129, 185], [78, 152], [7, 63], [24, 86], [11, 97], [5, 51], [24, 101], [84, 146], [140, 218], [44, 89]]; loss = 0.015385 low_pass_filter = 0.300
+Epoch 0: | | 41409/? [7:14:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 41410; scene = ['50b2b1847f0c3ec5', '76e66c14db609731', '4fcfd03c65294627', '02cea6edb1b588e6', '30aee98670108feb', '89ad475d12af1821', 'aad7773777457cae', 'b3f292e781b77315', 'cd4599abebf9d60d', 'abfc80bb9eee93b2', '56453c8b912ad0f8', '4ba784982056b564', '064259812e015154', '71222ce1f9bca7a6', 'ab04798f9ddd9aa9', '4577f77084d75acb']; context = [[47, 98], [131, 192], [121, 210], [91, 177], [11, 59], [53, 105], [43, 130], [95, 174], [1, 64], [197, 278], [17, 84], [25, 96], [8, 92], [9, 57], [82, 170], [10, 71]]; loss = 0.014476 low_pass_filter = 0.300
+Epoch 0: | | 41419/? [7:14:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 41420; scene = ['9cd2647d88c67314', '0a042bed0ad1e401', '4d2c0f16715e0c6f', 'a050deb6d503757a', 'cb6419023897e80c', '4b135b575c9c5ef5', 'd7154ee69ea14c61', 'a7b8522c8c3153c4', 'e97617b00097605d', '22d5f3a76b94182a', '22c47a85716d0d11', '88e954207c367202', '34812d548ba4794a', '5a00673a8004a5e5', '157e1ca3bdf10b56', '3fa405d1c687bb7f']; context = [[2, 53], [6, 67], [52, 135], [167, 254], [31, 81], [20, 73], [17, 65], [18, 83], [32, 104], [1, 80], [13, 99], [102, 153], [1, 55], [33, 83], [69, 115], [5, 62]]; loss = 0.013704 low_pass_filter = 0.300
+Epoch 0: | | 41429/? [7:14:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 41430; scene = ['8a0a93588ccdfbd3', 'c447184e2ac73f93', '060a90d9a3af1a5a', '05c0e618628403f7', 'c8539a201de22003', '2ddce9853610d50f', '218ad16a0a54cab4', '6b69daf57ed94a08', '6f164beac14b54d6', 'f51c7c1d017851f7', '03e86c713a19368a', '4e5972ddf51ddea0', '65c1d7ee44b2a2a9', '5cb68a057d09b157', '31ab8f79c82a3b17', '77c03290d901ec15']; context = [[51, 139], [27, 86], [42, 98], [1, 69], [42, 95], [25, 104], [2, 71], [93, 151], [85, 149], [24, 86], [2, 53], [30, 111], [1, 89], [162, 224], [14, 82], [64, 148]]; loss = 0.013900 low_pass_filter = 0.300
+Epoch 0: | | 41439/? [7:14:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 41440; scene = ['2b2c16078145683d', '6dbf248f810bcd94', '278021dd2365e867', 'b2a974a3c0564947', '2e48badbb959efe8', 'c86d525bc9657107', '465ebbba8c900b02', '44b47f1ce0a9d648', 'db604dcd44e99d65', 'bb6c0a11d8e4853b', 'aa41eb9219ec67a4', 'fa3629688684df1f', '2ba9777778fe9973', '5a99e1d90d1ac9a9', '1e1be68e5d2c0b80', 'ceccbecac655b01c']; context = [[12, 82], [170, 240], [5, 79], [44, 109], [11, 95], [63, 125], [33, 104], [126, 174], [12, 74], [22, 77], [15, 89], [49, 104], [177, 266], [54, 111], [152, 232], [23, 83]]; loss = 0.016597 low_pass_filter = 0.300
+Epoch 0: | | 41449/? [7:15:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 41450; scene = ['2b7db567dee04ddc', '6f38a7da09b0a3e4', '6e812f0450c188c9', '2ef80cd0a1af8f4b', 'a827ddb556a77ad3', '09046388c5e7be46', 'a047c9a13b47cc3f', '75db9374ceef7cc5', 'da804c334cf667f4', '76967b1799e57cdb', '562e475d73662874', '88af879dddd8d56c', '792d911391142939', 'f6a5937f861bc798', 'ee5c6bd8fe1eecae', '8d055c85341ef5be']; context = [[4, 64], [15, 70], [35, 85], [40, 113], [202, 266], [5, 67], [33, 118], [73, 118], [19, 68], [15, 69], [12, 86], [73, 119], [19, 72], [30, 93], [12, 93], [35, 110]]; loss = 0.014543 low_pass_filter = 0.300
+Epoch 0: | | 41459/? [7:15:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 41460; scene = ['4a63558a9d7092e3', '7422ee93f21a3447', '666bc6592852466e', '9650042fbf74face', 'd7ba9382e3c976d0', '35dceccf2eb0d701', '25c20cd4bee02d94', 'b513e4c0a545548b', 'fe680481685483c7', 'fce8af770747f551', '0820a0be3b326687', 'ff594f8d0b7dac47', 'ce15ff0fb9c8d2ef', '4b63a61085154ed4', 'b1563f41dea45424', 'f0750996750eba3b']; context = [[0, 79], [23, 84], [16, 102], [7, 76], [16, 79], [13, 87], [6, 84], [13, 84], [47, 129], [128, 211], [112, 192], [32, 108], [9, 59], [15, 75], [10, 68], [102, 190]]; loss = 0.015699 low_pass_filter = 0.300
+Epoch 0: | | 41469/? [7:15:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 41470; scene = ['e69fd4d779e61812', '824ac94a634e0a57', 'f54af9b96f2fcb52', '30dfb144a4cecdc3', '95dab5fbf02f892a', '9a70317122187ca4', '1f2eb3cfe6ba522a', '15bcb6f064c57764', '48c416537e08a32b', 'b5a1b9f9b27275bc', '5b0b61c88d637d44', '55d92465848511e1', 'ab47a8cacd5a8c5b', 'd5193cda018afafd', '8157eb7ada21c3a3', '831562b13809ffc8']; context = [[1, 91], [108, 167], [99, 179], [92, 172], [172, 244], [3, 75], [25, 76], [154, 223], [149, 208], [0, 60], [2, 86], [7, 81], [13, 60], [83, 153], [61, 109], [171, 258]]; loss = 0.015162 low_pass_filter = 0.300
+Epoch 0: | | 41479/? [7:15:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 41480; scene = ['25714926505648a8', '2ce9ac6c4e301b30', 'ccc88847b881770a', 'a469da3760d2885b', '481eaa0e0208530c', '3afb5d28d32fe31b', '70b657330ca11de8', '5635970d790ef23e', '48252a4b54c04894', '7665f3aca38b0220', '8d0a735a877f6368', '210a554ba8d9cd87', '9fea16da5934281d', 'e18573d92ab9ebf6', '4ea42f87aebcb998', 'f5b22f85a5ab4806']; context = [[45, 109], [45, 116], [9, 95], [98, 153], [8, 78], [0, 77], [43, 106], [83, 150], [13, 94], [22, 98], [2, 75], [19, 96], [111, 192], [194, 271], [104, 175], [11, 59]]; loss = 0.019105 low_pass_filter = 0.300
+Epoch 0: | | 41489/? [7:15:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 41490; scene = ['92c399964d13a272', '38e41aeccf448892', 'a190a27c5b886688', '2cd1fefb3b7a4568', '6ef0509816394c23', '470cf16643b7fd18', 'c76256f508e160eb', '8cfa50d79d888b55', '190007167fa625a6', '30e0602692bddfba', '85d90a9057fac257', 'e0a8336e8a7caa1e', '1b94e9727e48d256', '152ed7a6a53d7871', '4f73d609ce0ec6ac', 'd0cbaa6c27440765']; context = [[15, 88], [22, 69], [3, 66], [28, 83], [4, 57], [7, 83], [0, 54], [8, 80], [44, 128], [143, 199], [186, 231], [20, 68], [41, 86], [196, 247], [174, 223], [178, 233]]; loss = 0.014102 low_pass_filter = 0.300
+Epoch 0: | | 41499/? [7:15:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 41500; scene = ['446ffa4a463df3a8', '205b571c771bd704', 'c83978c89389d82b', '7f327e27777fa3c7', '7fe2186312264e91', '0f5439482f07dc7d', '5d1b31a536066162', '08f98176632653a3', 'd36c05d8dfdb5427', '7bba3bb371d731e1', '8c6fb91929e99876', 'e9feab62e5a92e81', '505b2853be7ed669', 'a5a0d76dc3b7a922', '46d5053d66888c5c', '8a6c4732fb05ac7f']; context = [[52, 119], [24, 98], [55, 102], [79, 154], [25, 78], [104, 176], [4, 51], [22, 83], [77, 131], [112, 179], [6, 71], [118, 173], [24, 77], [21, 70], [80, 165], [17, 75]]; loss = 0.018571 low_pass_filter = 0.300
+Epoch 0: | | 41509/? [7:15:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 41510; scene = ['77ed9c8b03a7ec6e', '4466cd75409a95d9', '0005c41463fe5e01', 'dec8847e03333be3', '580bbe2141b9e6e2', '359705f603b8f42a', '4b148538b0785a5a', 'aa1fd4353ae6a597', '012122018a5c884c', '188eb86b0baa1531', 'b23d97a750c719ee', '775b82d34796713a', '1ae6761f9dcf6728', '338ce7509f071f4a', '4a640e2c24d90419', 'a024d3305ff3ee4a']; context = [[71, 127], [3, 92], [47, 137], [0, 66], [5, 54], [52, 138], [23, 90], [57, 124], [18, 88], [61, 146], [14, 95], [15, 86], [16, 68], [58, 110], [2, 61], [0, 46]]; loss = 0.016859 low_pass_filter = 0.300
+Epoch 0: | | 41519/? [7:15:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 41520; scene = ['e80172c489f74813', '668dd31f34ec0ac0', '24672a4425dcdefa', 'b945473a87769150', 'ae91ec6e3aec00c2', '493f9566c4f713f8', '18832fd3e3a72175', '51832326c2486521', 'cdc53ea4bfcd0399', 'dd5141d992727508', '245538607cbf05f7', '3b21f48e23e4917f', 'b12d380a731ee016', '831ae8dd432751f5', '891d946e02df2fff', '997bd4fa68eadec0']; context = [[170, 253], [17, 68], [0, 49], [160, 239], [77, 163], [42, 116], [21, 100], [4, 66], [168, 224], [23, 85], [13, 85], [0, 78], [113, 165], [21, 83], [12, 68], [97, 182]]; loss = 0.014754 low_pass_filter = 0.300
+Epoch 0: | | 41529/? [7:15:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 41530; scene = ['2139caf346127018', '2ab7191767060703', '975a2f13d72efc5c', 'cec246dd08244706', '6655438658c7c04d', 'fd685a5cad0a5de2', 'a326c1789c4252c9', '2d91d0f623819b59', '3b0eb3d75bee5a3c', '6699bdc07abafaf3', '3834d878ae1525c6', '40f122a087305b92', '2cf102bb6b9d37e8', 'bd64124de2aaeb79', 'a2012fea65fdb1d1', 'a0f9a5c04c8e602b']; context = [[143, 192], [8, 54], [94, 143], [86, 148], [23, 96], [23, 78], [60, 118], [39, 118], [23, 83], [1, 56], [16, 102], [85, 131], [98, 157], [3, 83], [120, 171], [9, 96]]; loss = 0.015940 low_pass_filter = 0.300
+Epoch 0: | | 41539/? [7:16:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 41540; scene = ['625edf02592241ed', '24fba0e6aa6af98f', 'c1549ae4f822eaac', 'c7fb40dbdfaf8c41', '82d29ba5b39e4324', '6dde8ea549b04a08', 'f148e790bc04506f', 'cea2a93353c5eba2', 'c09d4b4411cc1c53', 'da6552eaffe605cd', '245bf94a48a16618', '94ad9ac9d5fc25d1', '7c8fa52ca0fba7cf', '9bd08fc9288bef8b', '3bf8bfb9bc7f89b0', 'eb5972716aff7e46']; context = [[25, 113], [37, 123], [13, 87], [7, 84], [19, 82], [1, 56], [1, 55], [22, 95], [25, 81], [3, 53], [4, 78], [95, 183], [5, 94], [77, 127], [53, 103], [25, 99]]; loss = 0.013831 low_pass_filter = 0.300
+Epoch 0: | | 41549/? [7:16:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 41550; scene = ['203ebd4a7ecd7351', '1bc4f80907befd27', '1a63fc7a0888336b', '056a4a7e82bd4a08', '8feb9f00718a9ec1', '7972dc0925069bf7', '74d59500412b3a6d', 'e8d0ff0528e08b63', '4b330b71b8aea5f0', '64a9915d04cf528d', '56f24fbba4208308', '755d004e041d87d0', '9041346a076f83b1', 'becfa31c015c5e62', 'ac0d3cc7eb377837', '4f117cf79d58ccc2']; context = [[35, 101], [81, 166], [145, 194], [96, 142], [9, 86], [0, 56], [5, 57], [0, 68], [41, 121], [135, 184], [2, 50], [72, 123], [38, 99], [4, 61], [10, 64], [103, 191]]; loss = 0.013319 low_pass_filter = 0.300
+Epoch 0: | | 41559/? [7:16:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 41560; scene = ['1db656924dd94e45', '5f53273e365f8b6c', '9d54b3b624d9b66f', 'e84cd5fe5f7314ad', '711034bf4923bb96', '146bae64f879b134', 'b0b5b54c3e1f9290', 'a40627dd8a2d655e', '4277f29e70ca77ae', 'ef868db391c2ff62', 'cf94fc1175fe334e', 'd1ddf5a9e8e08d47', '2796da75bcd72d11', 'de1c9674255ba611', '434e6cbea729523e', '0e7f80803adb73f5']; context = [[18, 76], [37, 92], [54, 111], [92, 181], [0, 67], [24, 99], [98, 174], [5, 53], [87, 161], [149, 208], [41, 89], [117, 166], [5, 89], [2, 48], [1, 66], [34, 84]]; loss = 0.016386 low_pass_filter = 0.300
+Epoch 0: | | 41569/? [7:16:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 41570; scene = ['a6de99319d52aaa4', '4f73c98468777026', '849b0e2f4bfbcf5c', '314ffe1c4140684e', 'b7745514519769b3', 'fff923a9b6bd66d0', 'fba4077e3266cf2a', 'bfce2ee21425a4b1', '4f0426596f5d2a4f', 'acce13e84d3dd931', '9b6ca3cfe5886688', '2486f6b3f867bbd4', 'efde93e3e23df6e1', '7cfeeacb5878e4aa', '228f8aa9a637a9c1', 'c138e672617341cb']; context = [[29, 92], [4, 68], [4, 64], [43, 101], [8, 60], [48, 117], [3, 71], [39, 107], [6, 71], [0, 67], [153, 234], [2, 48], [31, 119], [26, 73], [11, 60], [5, 66]]; loss = 0.018048 low_pass_filter = 0.300
+Epoch 0: | | 41579/? [7:16:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 41580; scene = ['0f4bb16169333817', '09f447a82910d9e2', '46bd6ac81c2ca6bf', 'f4f078781be5bf1c', '51504900fa03f469', 'ea83dfd340855fc5', '17d579cd9c3c11c6', 'eb3d4493eabc70ac', '5d714a3505cbc8f8', 'b13bc8cfc7773063', 'e29272430368cbe4', '694f7574abd152a9', '2b9b02cf71e77d10', 'badbbc71ceac3641', '0791565c804cb1b6', 'fb0aa00f96d016fb']; context = [[2, 53], [176, 225], [0, 56], [122, 209], [23, 78], [3, 88], [8, 63], [42, 115], [41, 95], [188, 238], [6, 59], [27, 81], [28, 87], [73, 130], [1, 80], [7, 74]]; loss = 0.015221 low_pass_filter = 0.300
+Epoch 0: | | 41589/? [7:16:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 41590; scene = ['33cddf881b54866e', '058fde22adb2bd69', 'd123eeb2049f770d', '682e4236899980c5', '5e6b6cf7eb54c960', '648d59fb0909b01e', '2bbb6e260fff96b7', '85e226223d1d045b', 'd5aff3e2db5ebab3', 'df80779cfff33170', '032c591bb9c0ab2c', 'ede200d8e3ed570b', 'a508ec7fbde00d1a', 'e85b9794f297353a', '4d352f1f3d457919', '53fd05a1f24da0b6']; context = [[56, 141], [46, 92], [98, 163], [53, 142], [30, 77], [118, 192], [9, 54], [50, 106], [176, 222], [7, 57], [47, 106], [13, 64], [3, 51], [62, 139], [5, 91], [100, 173]]; loss = 0.012989 low_pass_filter = 0.300
+Epoch 0: | | 41599/? [7:16:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 41600; scene = ['f757d683875ba54a', '83f4d34bc2deafe1', '346f36ef9992c30c', '85f6a09d7c0ed82e', '48f30e638e906d02', '5664d39ad0f1b834', '095d0b790f4b9a24', '1c18f955dea677ca', '42b37c81231b56f7', '411df8d0b3faa181', '75c231b3963554fd', 'bf8243011c6d9754', '64e8412241a50000', '35b5ba883886cb9e', 'ecd0216055e54219', '8d1ebdfc75514a26']; context = [[9, 64], [17, 91], [190, 265], [9, 82], [77, 155], [56, 128], [2, 48], [13, 97], [172, 227], [113, 186], [17, 83], [3, 61], [2, 57], [69, 133], [7, 55], [31, 114]]; loss = 0.017578 low_pass_filter = 0.300
+Epoch 0: | | 41609/? [7:16:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 41610; scene = ['29c057a0d6e904c8', 'cc3d122c0c441ebe', '7d24cbb8156629fc', '75f1d377c1587752', 'd503dba5ffabf771', '28eaee7735884df4', 'ccca5bcbc1202038', '83779fad9d14971e', '679b7dc05ee84aba', '99917f8ee9466e9a', '453d9ebfe6039797', '73adc524297c9cda', 'a609dbb3f9bf0273', 'e456788b15fc11a7', 'ad1ad4b8dc7b6e85', 'dfca45b7bac8c60b']; context = [[25, 101], [4, 93], [38, 101], [134, 190], [15, 93], [47, 106], [30, 106], [3, 62], [157, 242], [45, 103], [49, 111], [23, 86], [28, 87], [13, 95], [14, 68], [106, 177]]; loss = 0.018871 low_pass_filter = 0.300
+Epoch 0: | | 41619/? [7:16:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 41620; scene = ['752a9ba05152ec94', '72e02bab04fb8c64', 'fac84877f62bf4ac', '0923f3552ad572f7', '6d5adb44b0fcc0f5', 'c8b8300236a7220a', 'a7621aea5c101536', '97133598e9144794', 'ac1e985cf3a2df12', 'd5c1933c67b49875', '4c4fce2df53535d6', 'dbf748364163182e', '7f11c968deb89da5', '0ab79d1b1d783e01', 'ca90cf157ecaadfe', 'f73708f8f2c1fcc0']; context = [[19, 74], [17, 65], [0, 45], [1, 50], [23, 106], [26, 77], [8, 79], [51, 127], [7, 71], [66, 156], [149, 210], [3, 69], [72, 149], [24, 95], [74, 158], [9, 67]]; loss = 0.014576 low_pass_filter = 0.300
+Epoch 0: | | 41629/? [7:16:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 41630; scene = ['cb1ab7efea5b0b3c', 'b1960a647463572d', '885672bd54db44a3', 'cf26b918eb1d935d', 'f5b005cd4438e2c6', '2572d5318c4a894c', '6772bbf66ea84c2e', '3308f38305b81cbe', 'a02e28fa26feea61', '8ccc9f1ead9cad5b', '2c862f06019afc7e', 'a97541a2bb82814b', 'a8b81cf806e9e2c0', '47c63cfb10cdc704', '89b9f0b40f8e5043', '655736f20ba5d849']; context = [[2, 70], [1, 59], [38, 113], [12, 96], [32, 104], [0, 50], [5, 71], [161, 214], [14, 101], [19, 85], [40, 86], [69, 145], [5, 75], [32, 86], [27, 103], [31, 117]]; loss = 0.014778 low_pass_filter = 0.300
+Epoch 0: | | 41639/? [7:17:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 41640; scene = ['29ec1cdce3773212', '08ee15c7042507fd', '5dc2458745ac4f7a', '90315abc4bf86c86', '8106401c3015f193', '0fa2deada64f12cf', '09f926704a6f40ed', '52c56b2d23539cb6', '4219aa8a08f91efc', '3c4bc72a79c67319', 'c4874263cf3db05d', 'e350d82558087b1a', 'b51d563eda82f6fb', '9a2486bdf41619d9', '8460330706be0565', '84831132a72f8f37']; context = [[17, 82], [46, 114], [25, 82], [62, 123], [110, 193], [22, 86], [0, 45], [6, 87], [32, 117], [9, 87], [10, 62], [53, 104], [40, 124], [75, 158], [13, 63], [117, 182]]; loss = 0.011367 low_pass_filter = 0.300
+Epoch 0: | | 41649/? [7:17:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 41650; scene = ['92b69a523d36863f', '8bc26f82dadee1c0', 'f2e199589324e4a7', 'fbd2be032d4d3e91', 'ce72dd0a8a955b6b', '9f5b27821287f77e', '002a58afaeaf24c9', '35fe38c771b332bd', '01f0793599666c23', 'cc4a7a135b40e43d', '2ffb2a302c2eb8bc', 'bb2f78e9c66d752e', '190bc12de60a09d1', 'f5d145d13f999e17', '2b7009b7846c67e5', 'b4ce98b34258cf50']; context = [[50, 95], [3, 65], [1, 47], [20, 100], [16, 104], [1, 85], [30, 113], [11, 87], [74, 162], [121, 205], [10, 77], [27, 111], [15, 91], [21, 97], [0, 80], [1, 73]]; loss = 0.014151 low_pass_filter = 0.300
+Epoch 0: | | 41659/? [7:17:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 41660; scene = ['d834085f08b8e1b5', '354bb8c3bf607454', '3b559cada02ade84', '601ccf10319e2f53', '02e51473f83c2da8', '1541443b0f9f6d16', '1da8bba08ef5d022', '729a45ca32c04257', '3f1b91f60386c5f3', 'b5460ab2cb43fba9', '67aa2aa232d5369e', '4bf9734eb4bcc234', '5bf2a8678bf8873f', '5508ac103ddf830e', '67b087c6e50f357d', '22947b2433ed9dad']; context = [[6, 84], [68, 132], [0, 50], [96, 167], [177, 257], [3, 55], [91, 153], [171, 256], [19, 95], [0, 71], [8, 75], [59, 149], [27, 101], [141, 193], [51, 98], [4, 67]]; loss = 0.013975 low_pass_filter = 0.300
+Epoch 0: | | 41669/? [7:17:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 41670; scene = ['9af5a605a4972f99', 'a242e4699cdcf0a0', 'a67599645b90125f', '5ede369220cc16b1', '89c1218ebe194ede', 'b15464eeb58ae743', 'fd7813e7f6b9c6fb', 'a6990abb3591ce5a', '8d56185921b4b642', 'c040886eda9e8efc', 'dbdcfa52c1ec70d9', 'ff83cd13bfb4cb64', 'baab02d64ec03a56', 'f7b7405f352d53a3', '06e4a604e5a0bfec', '774209afc22d2272']; context = [[18, 65], [16, 69], [10, 100], [3, 48], [19, 68], [179, 225], [2, 72], [20, 82], [11, 83], [2, 63], [170, 235], [129, 189], [2, 80], [34, 97], [0, 77], [0, 66]]; loss = 0.015837 low_pass_filter = 0.300
+Epoch 0: | | 41679/? [7:17:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 41680; scene = ['48bfd4a084802a9b', '261f61fbca37af10', '7e222459fe265c73', 'f5e655feece74b9f', '126be0e3df285146', '7a0b1851a61a8b2a', '0a0e71514910fd78', '97218a168cb11d40', '366155957b8d3713', 'e16961addc615afa', 'a17ad78f3de1747f', '9d5d32f2e63f94a6', '82065e7ce51acd3a', '261bdda76d7124cf', '360522a132341bfc', '07b91d8606616953']; context = [[10, 94], [3, 69], [40, 95], [97, 149], [16, 65], [132, 182], [122, 184], [217, 265], [16, 71], [87, 154], [2, 53], [14, 67], [20, 95], [98, 184], [58, 132], [2, 51]]; loss = 0.013559 low_pass_filter = 0.300
+Epoch 0: | | 41689/? [7:17:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 41690; scene = ['18dedb90ea5f4869', '0865ab5087227a74', '8d24e45a0fb34cd5', 'f45afc69c757f740', '522da2a710ac5837', '3fcab25b002c8d8a', 'aaa1ef2a365d7781', '262ca049a6cd4ded', '755be52fe347b481', '9b482a814f0a5481', 'b83b6d3d70390d31', 'ca0654a08cea1999', '76a18d0254c0b9c2', '7460f503eb18fa6a', '84f5205af72a4389', '448fdbb3ff945d74']; context = [[32, 111], [2, 51], [26, 112], [65, 113], [2, 65], [10, 74], [169, 222], [10, 74], [24, 78], [7, 84], [23, 109], [4, 69], [114, 204], [0, 56], [30, 115], [0, 45]]; loss = 0.016181 low_pass_filter = 0.300
+Epoch 0: | | 41699/? [7:17:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 41700; scene = ['a2fe0ee3e737c073', 'ddfe9ba63e6d372a', '2ec8edfc07c8841f', '7bdad49548efe595', 'e741fa80ebe93837', '02cebccd52e7833b', 'b18b0e59cc8d6d53', '7a1781db0d9a2f70', '2cb2d8255676e654', '19b52ddc2c0b41e0', '21e2fa0645ea6c62', '567d1b17a4e9803d', 'a4040de9d995b7de', '2e324ccdb8038f29', 'dc41c0081c0366a6', '4a694fea0252e84b']; context = [[125, 176], [19, 90], [10, 84], [13, 58], [3, 51], [17, 67], [1, 69], [21, 98], [7, 65], [13, 94], [33, 93], [18, 68], [4, 77], [149, 197], [81, 160], [8, 75]]; loss = 0.016202 low_pass_filter = 0.300
+Epoch 0: | | 41709/? [7:17:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 41710; scene = ['fe04fd49c46f2fc1', '9b4eb74c4f2839ce', '312885f77137bd7c', '7641d42c46936419', '684bfafa652a719c', '1d4d4b5e150e7725', 'a260f2e7feb368fd', '94189ff3621c2388', '9bc5981d26dcfc62', '3d9dd3d10965c92c', '98357a968617da0f', 'a4fe80b618bb7456', '8090675e3d0b56c1', '8246e3493d527708', 'a8317f5de4f6f22a', '365f9473b7425fce']; context = [[42, 87], [37, 92], [11, 84], [19, 65], [0, 52], [156, 235], [2, 51], [114, 200], [3, 52], [12, 98], [0, 74], [22, 78], [2, 65], [16, 92], [11, 76], [2, 82]]; loss = 0.013808 low_pass_filter = 0.300
+Epoch 0: | | 41719/? [7:17:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 41720; scene = ['72cf2e2ac5f4da4e', '824abdb9c8b1c463', '840c850308f1f3f7', '63876ae4cab0165b', 'cbc2e7b967ecc4f3', '5143e1184f8b61c8', 'd792c89551ca8937', '8b1e6f0a13a3e381', 'e8dd93213b0a8a6c', '316bad0f8c8b8cc1', 'bd8c187bb1893a47', '35fa6a277ead291a', '08866625f34ea7da', '6fd4fa60b47978b7', 'ed61b288e9b09a03', '32cca1e716cb453a']; context = [[4, 85], [4, 68], [58, 112], [73, 129], [7, 62], [155, 231], [30, 120], [81, 149], [6, 51], [39, 119], [87, 138], [84, 163], [46, 109], [2, 68], [17, 76], [2, 48]]; loss = 0.011720 low_pass_filter = 0.300
+Epoch 0: | | 41729/? [7:18:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 41730; scene = ['23f165b1591dab8f', 'e2cfc841f85afb79', '5101439f1f9e1da7', 'a7ef92a048fb31d8', '52dec60d8a66d91e', 'a0251539c80a75fb', 'a5e23747e724db5e', 'a5e1730f71e1aab7', '0a5726f0d187b3a9', '09a8c772df887230', '0a8a91a9c70abb54', '3c98cb9bb58c0c19', '14030101fce56c47', 'a7a271a1f4b8fdfe', '4c1eefb41890dd47', '037a2b4741801a41']; context = [[115, 181], [73, 154], [50, 101], [33, 106], [106, 157], [47, 125], [3, 48], [2, 48], [0, 70], [124, 197], [53, 105], [2, 47], [16, 65], [30, 88], [120, 183], [10, 64]]; loss = 0.014686 low_pass_filter = 0.300
+Epoch 0: | | 41739/? [7:18:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 41740; scene = ['cb524479156837a7', '527ed10de8647f13', '521fca1af7388ac3', '55668f4c760d49d4', '73f43de5db04dfe0', '61b01e5c2dd37d56', '759e2542191f378d', 'c2c821787e56e360', 'a46ec935d9160aaa', '8ec0a9b3826040ff', '0a6db21cfbf0b670', 'c08b1476714d7157', '5a82c5f046b41d2d', '1bbdf0fc16eb1c98', '8d55943b8c94ce05', 'd8cf0740190ea2b7']; context = [[223, 269], [44, 102], [1, 59], [7, 62], [90, 166], [0, 68], [153, 233], [5, 66], [5, 91], [111, 195], [180, 235], [123, 205], [19, 90], [0, 55], [3, 65], [6, 79]]; loss = 0.016645 low_pass_filter = 0.300
+Epoch 0: | | 41749/? [7:18:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 41750; scene = ['a4749911cad4f5cf', 'd83baada13bf5140', 'ce83dcd7dcf2824a', '752d39fb1c32fa3e', 'f46f73c6b994a630', 'b2ad1dbda5c04fae', 'c6b155bb51d29d9f', '3023bf786ef48059', '432ef4ad8bf6b3ee', 'c101968566cb7252', '2e5e3c12008c75be', '5efd93998993c5f7', '7bfe443e0fdb8ab8', 'c98ea5702ac87104', 'fce15d1e611e9bfc', 'd48fcfcba5fa0627']; context = [[96, 148], [0, 82], [18, 63], [0, 60], [141, 221], [111, 198], [1, 61], [0, 45], [51, 109], [0, 62], [62, 129], [44, 103], [0, 61], [16, 99], [72, 152], [12, 61]]; loss = 0.016168 low_pass_filter = 0.300
+Epoch 0: | | 41759/? [7:18:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 41760; scene = ['1a0b5dfe51376c01', '7d6fc49199dac671', '7983d363f745886c', '500a41bf3e768e5b', '72b3f30e37e99c2a', 'b10e84810786ba92', '616ffc28b5189477', 'f28235eb3977eddf', '6991ad9b67711c91', 'd1bd5b345a41d799', '237b2e037727f576', '7c09f098aa542eee', 'a7bb41fb317553a2', '8ac7bcf35cb36f8d', '98fcb849d678ed09', '3b1b31a369067c81']; context = [[7, 85], [188, 257], [0, 79], [39, 96], [5, 53], [88, 176], [54, 110], [93, 175], [12, 75], [45, 90], [25, 91], [23, 94], [9, 94], [169, 216], [18, 90], [101, 182]]; loss = 0.014969 low_pass_filter = 0.300
+Epoch 0: | | 41769/? [7:18:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 41770; scene = ['2b64a3cbed138794', 'e789819814e9a03d', 'd0c85a21c4a51bc8', '7dd8abf5a77ad604', '38e0ce65725c8c88', '62fc2a227b8adab0', '4d2c2b44b15892a4', '8364c4321985f96f', 'a30e8f30f010b35d', '3177e84ecef83f28', 'dbd7ac231625bf8e', 'a38ad69b8d84dd40', '7e3273b72ad96149', 'ed352f2665692016', '9db69fef43d2950a', '68c25f69810089a9']; context = [[9, 57], [17, 86], [33, 109], [26, 102], [81, 138], [76, 139], [122, 197], [47, 108], [118, 176], [0, 61], [147, 224], [0, 63], [116, 182], [12, 78], [31, 85], [47, 102]]; loss = 0.017083 low_pass_filter = 0.300
+Epoch 0: | | 41779/? [7:18:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 41780; scene = ['54113616e3c8ae12', '72ad04d9fea7f3aa', '15697c301505297f', '660c377f918f0922', '9903d3fe63d6a818', 'c68f15dd31feb2b8', '46a36899c1217f11', 'bf96b085f86a316c', 'e4f16f4b31a78522', 'f60fb1fa9fcb5fe8', '3bc995c0eac71f1c', '974c16cd3063fe7b', '641310a2d9c88eab', '0880f556a19d07f5', '9b6a57a6ff02dd12', 'ec5be7aa42eaa9b0']; context = [[61, 121], [50, 102], [18, 64], [15, 60], [51, 127], [79, 165], [36, 94], [157, 237], [21, 71], [213, 272], [13, 100], [163, 210], [16, 99], [204, 265], [3, 67], [133, 201]]; loss = 0.013654 low_pass_filter = 0.300
+Epoch 0: | | 41789/? [7:18:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 41790; scene = ['fcbd35c9fec04992', '18a6c0778918ffbf', '9974cb0399a06dc0', '16333d9914d5937b', 'aa9de0129abc32aa', '27b941a8289558a3', '3222c6f65e953650', 'b4c9c26caef44e89', '49acfb6491c3ed60', '1f76ce0b0c3995a5', '1baf2b5812122e3e', '99024f17cee81656', '7f58de9f7313a9eb', 'd101ed7d57d47b7e', 'd0c4f62ff70c6daa', 'c79e9ac3b6ae802a']; context = [[0, 51], [13, 80], [0, 56], [9, 98], [13, 95], [0, 45], [57, 147], [23, 69], [14, 89], [3, 74], [12, 68], [9, 58], [30, 105], [1, 67], [5, 57], [65, 153]]; loss = 0.014441 low_pass_filter = 0.300
+Epoch 0: | | 41799/? [7:18:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 41800; scene = ['4b95a6a4485a9684', '6e53d59a04d16cd8', 'fe1b92932a2eb481', '1ca420ea134b5748', '9d8ca21d7984f76b', 'd51a5f3f6dd9f3df', '216872700536bc0a', 'c9073667ec83abcb', '93ce775b91288252', 'd0f4f1c4157d67aa', '08683965a087e86a', 'de6ad905da091ab0', '4ec56d4d5fd32c0d', '3c80b69ca39d44e4', 'ec54d60519d51799', '5757c3fde1248166']; context = [[34, 112], [20, 65], [11, 84], [119, 199], [26, 79], [25, 93], [73, 127], [60, 120], [2, 52], [87, 175], [12, 88], [91, 153], [2, 60], [78, 143], [3, 91], [5, 82]]; loss = 0.017946 low_pass_filter = 0.300
+Epoch 0: | | 41809/? [7:18:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 41810; scene = ['9b8b317f206cd862', 'af0471aa7cce2043', '8cf950bb8bfbe226', 'f3e2032cbef0169c', 'b526812abb4244ea', 'f5201dbafa0af79e', '97a395ac62304d1b', 'cc9c60269e489a99', '36e9f6aa15a645bc', '18c6d122fe4c3dc9', 'e621fd73ae473881', 'c073e79fc1a1913f', 'bdaf42f6d92c13a4', '7e3991a1e57c1b92', 'e150df1482489565', '8b73b17ffcd8757e']; context = [[12, 78], [2, 61], [11, 86], [174, 239], [37, 87], [25, 89], [106, 180], [40, 101], [11, 57], [9, 60], [2, 88], [79, 160], [68, 139], [59, 132], [18, 73], [204, 263]]; loss = 0.014723 low_pass_filter = 0.300
+Epoch 0: | | 41819/? [7:19:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 41820; scene = ['b23d5be7ecd8f9bd', 'b628fcd395211ade', '1f89d2abce700708', '36295de2a127d034', 'b36f5704af87f5db', '6d967be2fafd8240', 'f5d03fa0aca910d3', 'b7d4e01b90e2c28b', 'cef2ba3c47cf9eda', '148fc99aeebdfd97', 'd531e2b870b59c49', '97b507f2dbe2fb62', '6665f0ac0dd3e352', 'a979210d30d8dc29', '83db4c5e4607f168', '0802c69f642f0a48']; context = [[139, 190], [5, 90], [26, 96], [31, 106], [4, 74], [153, 226], [0, 72], [51, 129], [0, 53], [0, 58], [1, 57], [0, 53], [5, 65], [28, 111], [0, 46], [5, 71]]; loss = 0.014123 low_pass_filter = 0.300
+Epoch 0: | | 41829/? [7:19:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 41830; scene = ['fcf33bfc26847fe2', 'aeb22e7070c7ebc7', 'ce4bbee3dd973953', '3b77d03f923fda5b', '08d1a6ea6b02fe99', '2073ba65bfccbb0b', '6a4e9d11bf951b4c', '87f4f7f9fc5d01c3', '8a3aa2d63fd31dfa', '5f14e0e70310b263', '6a18f39c2e334256', '9c622becd524e35c', '4127c7dd2d0fd83e', '9e496cf3ceac8708', 'bcda6782f530a816', 'ba49561f56b5dfd5']; context = [[1, 50], [21, 72], [4, 87], [10, 67], [0, 76], [74, 125], [0, 78], [45, 95], [0, 49], [97, 155], [2, 56], [57, 111], [5, 86], [101, 169], [23, 112], [3, 52]]; loss = 0.015668 low_pass_filter = 0.300
+Epoch 0: | | 41839/? [7:19:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 41840; scene = ['f7b81720b3bcaf7b', 'd056616f1161714f', '1bd19a79fe682e24', 'c5013e15646dc1f6', 'f8002823df94e9f2', 'd88b4b2fe304e141', 'ef0615bf71e28966', '6750ee6f269e3292', '3cb73cf42139a578', 'ff66ce41eedc4d21', 'bb14c9ef294f2eb7', '38674e38103d5da6', '1bf2ad010fbce70c', '1059df90c1493f93', 'df1d3fa0c3580009', 'ba57ad8ee0354f53']; context = [[3, 55], [27, 102], [17, 81], [0, 46], [95, 166], [13, 84], [157, 222], [9, 76], [31, 109], [0, 68], [7, 70], [7, 74], [90, 153], [1, 82], [4, 73], [26, 114]]; loss = 0.014357 low_pass_filter = 0.300
+Epoch 0: | | 41849/? [7:19:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 41850; scene = ['3fbb0670a23bf050', 'cea7f0f676df3c07', 'd35e90f8cb411c35', '9dbbebf435a6c9fe', 'eca81d6ee5fbf8ee', '1bff8030b749eede', '03686e0744810c79', '2f3b31991ade4d0c', '7c49c2308203f69b', '614f6a3fc7936f47', '43aa765fedc98cd8', '45112304ee4c0c76', '5f6ae80e58f6f518', '5c1c7541c0ec377a', 'ab27c3f931ba3513', '63c13551f24f416e']; context = [[136, 215], [35, 99], [157, 246], [34, 93], [85, 139], [87, 145], [2, 53], [43, 103], [84, 154], [3, 49], [119, 185], [6, 56], [19, 90], [12, 65], [68, 158], [4, 51]]; loss = 0.015266 low_pass_filter = 0.300
+Epoch 0: | | 41859/? [7:19:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 41860; scene = ['c54f5f75648da1df', 'ad5c374197f81547', '565db4456c9fb22c', '1222f5f021cdfaa9', 'c0fb2e74353210e8', '97be5aef5a551277', '850d436dab899405', '68eda0e3a97731dc', '96ce3e617124a934', 'dcef68ac5961369c', '9bf893735e9b1ab8', 'de61efbee4c2b1cd', '85cd5c3b6ecf03fc', '10932c00957d5ec3', 'c708707156f0d454', '2e0974f13b85cce8']; context = [[7, 57], [2, 90], [2, 75], [44, 117], [49, 102], [0, 81], [141, 212], [0, 74], [47, 106], [2, 62], [22, 89], [167, 240], [24, 80], [12, 60], [52, 107], [11, 93]]; loss = 0.015625 low_pass_filter = 0.300
+Epoch 0: | | 41869/? [7:19:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 41870; scene = ['e47d7adfb65d9ea7', '3e3ac6301a680721', '30ef5f553648df47', '1de9cd4f82ee4ea3', '6aee2575a2c97d19', '3f62df9974f73102', '902098b9bb42414b', '54c8e9c778b2fad8', 'b7c32200b00161bb', '26b8c9221b370a6a', 'ec680845c6a7295c', 'b32de1c311763e38', 'ecc967837b29dcf8', '15356f52279ca775', 'bdf63e25c9f941a3', 'd2d654c46067da8e']; context = [[16, 106], [178, 265], [3, 83], [200, 277], [95, 179], [10, 88], [23, 89], [11, 86], [136, 181], [22, 74], [67, 129], [8, 84], [10, 79], [20, 79], [9, 70], [0, 76]]; loss = 0.017032 low_pass_filter = 0.300
+Epoch 0: | | 41879/? [7:19:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 41880; scene = ['a8bb6bdd8e1832b0', '16166f53500a5dc3', '2467dc0707ba0b41', 'cc62a8c047cea639', '29d7ac3298d00f4d', '747927c2fb5cf02f', '073f4898bc68059d', 'abc943c92ef0d788', '2b02940f6e4300ab', '48e6e04d3415086b', '7887a8b69eef3f6c', '12944e020e37d73e', '1db83fdec5a42913', '4a8bac030ddaa027', '6a4fd90c10640037', 'acec98119d56fa29']; context = [[22, 69], [23, 68], [17, 86], [30, 96], [102, 177], [0, 45], [12, 86], [199, 269], [62, 148], [36, 126], [1, 47], [3, 60], [37, 126], [0, 48], [0, 86], [84, 141]]; loss = 0.014760 low_pass_filter = 0.300
+Epoch 0: | | 41889/? [7:19:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 41890; scene = ['d27737b6cefa4fac', '593f5915b5f4e44e', 'ac4447521eaf9947', '9c1fe34e2a59897a', '574525ca424d6534', '6ac05296f40c0c95', 'ee36d9bb7a661393', 'a202d9011de16580', '6517b2392f9cd452', '2be4893cdc6f6e3f', '8aba5d8cbe4a821a', 'ba886712dec35139', '238466b761abeb2f', 'b0b36df501ec7957', '13b6ba1e1a47cad9', '623640f3015a951f']; context = [[23, 88], [6, 81], [23, 73], [23, 87], [11, 88], [60, 130], [61, 125], [47, 122], [43, 108], [8, 94], [75, 128], [0, 47], [2, 86], [8, 95], [69, 150], [41, 102]]; loss = 0.014974 low_pass_filter = 0.300
+Epoch 0: | | 41899/? [7:19:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 41900; scene = ['0bc8cc9ea82a89cc', '1ba1898ad4f268ef', '580ab276c4a72feb', '4183dff8cb12644d', '50ee87260cc88f0e', '7f50766e4ef0d24a', 'c9b6da2e91b97069', 'b2890a9df7df5d67', '8de198f98b9e304d', 'b81f8affbd4806c4', '7534cb5edec5f0a5', '2fc24e6aa1333070', 'e64efca5f4c656f1', 'f22fc2b3c9f19013', 'b175f82961daad12', 'a47515dac8f66d3e']; context = [[21, 96], [66, 155], [8, 77], [11, 60], [7, 92], [75, 122], [13, 92], [103, 148], [9, 57], [30, 108], [14, 89], [1, 68], [21, 99], [7, 76], [0, 56], [96, 156]]; loss = 0.015582 low_pass_filter = 0.300
+Epoch 0: | | 41909/? [7:19:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 41910; scene = ['e7b0d2b0f8345433', 'c2f79eadd57323ce', 'd6fb3530ec7b97c2', '4be41d2ae3c6c617', '580cfd410e2cc3e8', '34b6c365004325e7', '1a7b857d206b5e11', '93b1c2796a3fc4b4', 'b29d23d76f4b1f60', 'bcb2e6defe083126', 'c647b5c9b5ff2e0c', '4067dc3e53c02908', '7a2ebd077df75740', '26082fc7b0489437', '4e4199248d302a7d', '56660fe55435e0f3']; context = [[10, 73], [1, 63], [75, 165], [116, 162], [7, 83], [32, 122], [13, 90], [133, 186], [1, 64], [59, 112], [23, 83], [26, 96], [7, 73], [71, 122], [122, 172], [33, 123]]; loss = 0.017610 low_pass_filter = 0.300
+Epoch 0: | | 41919/? [7:20:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 41920; scene = ['7fb9eb21253b0337', 'f26009799d9c5d1c', 'acecfa180eb09ab5', 'bd94c41ea09bef33', 'f65e3fc655f7b5b2', '67ae1bac6fcef518', '9781be61f9af7b83', '2072690f45c56622', '9cd1ed50bfed811a', 'fc977ce61dc2c120', '6e136887073748b6', '78d73817c622b1c1', 'ab14f474323b2014', '43efc8210bf1153e', 'b62d5f970d1517b6', '4530113d1d7f71db']; context = [[13, 70], [2, 85], [88, 173], [6, 60], [21, 70], [3, 48], [14, 92], [134, 201], [0, 47], [171, 238], [17, 69], [4, 83], [6, 59], [14, 100], [9, 55], [4, 59]]; loss = 0.016109 low_pass_filter = 0.300
+Epoch 0: | | 41929/? [7:20:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 41930; scene = ['2b15d2104d444b68', 'b184ea802483e37f', 'b7f47dac8c0ae90b', 'c9de4d71fde8bf65', '645567ee2438a9bf', '7a06eb9ada098378', '3b85815f3e1df080', '17675b4e73f05823', '9bbdffac7c93063d', '79b01e4345584de7', '65fd119cae53be01', '1484e9c4187a562d', '38313c7ce5d8fc08', 'efc8b93133b0f6f4', '070f0f205e58ec62', 'c82c5705fa8e6a19']; context = [[63, 142], [0, 67], [8, 78], [40, 104], [51, 132], [34, 93], [0, 51], [0, 60], [16, 87], [9, 57], [47, 124], [2, 47], [76, 155], [17, 74], [22, 89], [139, 199]]; loss = 0.014944 low_pass_filter = 0.300
+Epoch 0: | | 41939/? [7:20:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 41940; scene = ['7db7d2dd5a83c449', '9f9adda8c2f8d43f', '1261f7352c1da2ac', 'f51448ecfae30d68', '315fee37794761c2', '68173846a9e6a4ee', 'be82bb92d62fc136', '23e3b85c6103b7c3', 'ed88feeefd86bbab', '4bddff1b2be3b379', 'b0c32caf4c54e188', '68c727ba2ded98c0', 'e02bdbf64b293ae8', 'cb51faec2dc6c5d6', '27dafac4d73ec369', '6d417df8e0934224']; context = [[23, 82], [121, 202], [1, 56], [59, 111], [1, 69], [63, 108], [4, 66], [2, 69], [8, 54], [184, 252], [85, 133], [0, 72], [3, 58], [1, 77], [16, 66], [136, 199]]; loss = 0.011861 low_pass_filter = 0.300
+Epoch 0: | | 41949/? [7:20:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 41950; scene = ['5f0d42a0825ed39d', '226fc735225d0484', 'c88d11029b248266', '08f863a706d1020d', '5b8a1fcbe836bb25', '905df13516becd2a', '98ed01a90d575534', '3bf8bfb9bc7f89b0', 'ef349fb3fcdad196', 'eb5972716aff7e46', '53994168d1abe156', '483061ce00126c3e', '7c8fa52ca0fba7cf', '0cd41e6e6139e778', '1ad9f607c3524332', 'f1dab83bdccd9a64']; context = [[0, 70], [0, 70], [192, 244], [3, 65], [16, 65], [23, 78], [163, 248], [24, 113], [40, 121], [19, 92], [2, 74], [2, 81], [10, 70], [9, 62], [45, 97], [9, 81]]; loss = 0.015923 low_pass_filter = 0.300
+Epoch 0: | | 41959/? [7:20:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 41960; scene = ['d803034b5b627abe', 'a5f0144bd9a5fa8b', '5f414af9d6abc978', '09939f6760e4afa4', '48fea7f3a73f0298', '079196ceabe07c0d', 'd256c361e38b972a', '8a7edd543d8e8b8e', 'fd5bc65336819ceb', '4cbc09a660b88e25', '9fe3994743e46ce7', '47ef1b5ed7e0f8bc', '18f1bc96d6891bb7', '45fd83f6c3984135', '1184ad5a69f1c35d', 'a18aa1680704fb78']; context = [[138, 208], [3, 49], [13, 68], [0, 58], [21, 87], [0, 70], [2, 87], [18, 72], [1, 51], [4, 65], [108, 181], [90, 135], [164, 250], [67, 127], [63, 111], [46, 97]]; loss = 0.014972 low_pass_filter = 0.300
+Epoch 0: | | 41969/? [7:20:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 41970; scene = ['5aa677118a447f4e', 'b435f997dcef9ccf', 'db49c27889b9b34e', '0788c973574d562f', 'd998d161753e9542', '7ac3519a24738854', '4a2c069d7bfa3eae', '3dd1ee9ce46014e0', '946f96dfadda281b', '0ca0911df7c66c58', 'ab84bd6ad2c3f20e', 'd8cb90fd13152e6c', '4801c55743478ab4', '2aa058b8233968d1', '2633b15c450d8a36', '43e3475edc219bb1']; context = [[3, 93], [25, 89], [73, 157], [64, 141], [0, 72], [10, 80], [5, 64], [3, 69], [29, 107], [29, 114], [204, 264], [0, 60], [20, 89], [75, 137], [6, 51], [1, 90]]; loss = 0.015637 low_pass_filter = 0.300
+Epoch 0: | | 41979/? [7:20:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 41980; scene = ['1e1be68e5d2c0b80', 'fa3629688684df1f', '316afc5161bb6b7b', '38603d74dae54d1c', '150f77d98473b3b7', '3f96f1eace6d5d75', 'c7eadd6692487a48', 'ce418ca65922b5bc', '0805f792d0b10be9', 'c90a1b6872dec9f3', '509f8d933a7dbc98', '7845e909a272d49d', '5b3d6bba4d1b3484', '1997801bd183ce5e', '7eb3280167278387', '648fc6db158f6e55']; context = [[113, 181], [4, 82], [103, 181], [150, 203], [171, 238], [2, 55], [4, 70], [20, 98], [0, 74], [23, 74], [71, 123], [29, 113], [26, 85], [80, 146], [70, 131], [208, 264]]; loss = 0.013469 low_pass_filter = 0.300
+Epoch 0: | | 41989/? [7:20:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 41990; scene = ['5c92b85085b1ca15', '858a56679ac008f3', '26d62f7d40ec88fe', 'bdacd02f0e4a8f39', 'e6d10d8d551ed1b3', 'eecb2f3a26f362e3', 'd0bb7be92eb6586e', '5b62aa29957e669e', 'a94288a8ba34c885', 'b0c446190c9dbff1', '3fb9031eadee0623', 'c3cdf7ffed793e44', '5bf7784db67d5527', '4cb0004a77ec42a4', '77c003fdb097bd57', '4a799d9c15a25e4f']; context = [[10, 80], [12, 78], [158, 231], [18, 69], [4, 53], [7, 72], [14, 92], [73, 154], [34, 95], [26, 102], [32, 81], [38, 108], [4, 80], [2, 54], [10, 78], [66, 119]]; loss = 0.018273 low_pass_filter = 0.300
+Epoch 0: | | 41999/? [7:20:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 42000; scene = ['8b96a61e6f05c19d', '2205efb33334ea8f', '3195df3ebbfdb9c1', '2b8e43f68decbf09', '98c237ae4512dea3', '538dd5c7aeb8a132', 'd3f8da499f7d99a5', 'e21290652231e775', 'bf2bba76495e03b3', 'ff60aa205261d9dd', 'c8e87c3bfb022863', 'd9c82874e9d58447', '2cdc01af65ca2471', 'b9fba012acc2a3b6', '831124ef67d5b2c3', 'a377fc8d36db3a31']; context = [[18, 85], [15, 86], [175, 248], [172, 222], [19, 86], [19, 87], [64, 121], [26, 103], [107, 195], [14, 62], [8, 75], [0, 64], [1, 83], [1, 49], [85, 148], [61, 128]]; loss = 0.015901 low_pass_filter = 0.300
+Epoch 0: | | 42000/? [7:20:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0validation step 42000; scene = ['7eb15ceaa1029944']; context = [[38, 86]]
+Epoch 0: | | 42009/? [7:21:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 42010; scene = ['74e8bbc4737ef761', '8cba0fa4eafa14cb', '1c19ae7ef94379fa', '5ac5095c5ba03d10', '28a2551c138c1f75', 'e98a4440050d3155', '14035b2b57b80f80', '09a5339ccc711be4', 'c2a4f8a0206456ff', '808e9fd47a7c37ec', 'a40cfc3d2bfdfa40', '811e0e6fc16a4a3a', '916fbead6b97efef', '3b13bafa17769d9c', '5c5ced708d2b3c8b', 'f2acfbea86f8c413']; context = [[17, 69], [48, 137], [21, 90], [18, 95], [120, 174], [2, 51], [115, 163], [1, 50], [11, 74], [3, 59], [59, 143], [0, 61], [32, 119], [52, 119], [38, 107], [8, 74]]; loss = 0.018461 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 42019/? [7:21:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 42020; scene = ['9a72f13665828446', '5167dc2231bfec63', '36c90e7d21f80783', 'd858d269c16ef238', 'f2133cf68e6b7993', 'e69bc9dfa8547753', 'ed09c2c104691f41', 'd7e7949633da853e', '15ee0149c03dabf0', '471727b63053034c', 'e24e7b04d40e5d7d', '4d95eabd1165fcb3', '1a0affadce775a56', '9b2bbbd898650e79', '023a009030046924', 'dabbe275dfe69077']; context = [[21, 79], [1, 58], [46, 127], [9, 88], [5, 55], [36, 95], [2, 48], [45, 130], [120, 175], [8, 73], [29, 115], [4, 88], [11, 90], [31, 76], [58, 113], [22, 112]]; loss = 0.015223 low_pass_filter = 0.300
+Epoch 0: | | 42029/? [7:21:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 42030; scene = ['ccd62a307aefd240', '9c3219b690a43016', '6ca3f5caacb1d6fc', '1f6c1a3883b3f248', 'e47e4551589a610a', '43947a751e7c8059', '307e37fdcb1d2a6f', 'a258b0a7fc06973f', '3f732b63cdd0729e', 'd977b5a9345b6422', 'ce8b16abd7113d0e', 'b025a53b390b43c2', '2c46b6ebb84b22f0', '3a3cacf70f6d49dc', 'ccad848ce291de16', 'eb0bf3adf256fa83']; context = [[33, 82], [3, 74], [4, 85], [121, 199], [4, 71], [120, 191], [9, 61], [31, 82], [0, 46], [49, 110], [98, 175], [25, 108], [64, 120], [1, 53], [53, 135], [7, 84]]; loss = 0.014860 low_pass_filter = 0.300
+Epoch 0: | | 42039/? [7:21:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 42040; scene = ['85550f8dc12ada36', '452567aaba6dad89', 'c22e731953341c03', 'a63adfd6153bedb9', '702e199315214d90', 'fb1651b38865c843', '88488291ab748607', '9b0cdc0ec7d017ed', 'cfc13aa0d6a72294', '1fa1c6787f0c73e6', 'd269e142de26eea6', 'c37935df091373a4', 'b30304703e3b4359', 'b555ccab17c76790', '4ad2c3aac2236ec1', 'f769e724a6aa1acf']; context = [[52, 116], [3, 55], [77, 133], [122, 193], [24, 85], [207, 263], [3, 89], [15, 102], [22, 84], [0, 78], [10, 66], [93, 147], [0, 45], [10, 68], [1, 63], [17, 66]]; loss = 0.017753 low_pass_filter = 0.300
+Epoch 0: | | 42049/? [7:21:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 42050; scene = ['42f3b9aeb02f45e7', 'a58bd21f7b45e7b5', 'a78affb518c2e2c2', '0c0cebc8eb795c08', 'c260ecbf582b8dca', '8aa87dbef45279df', '3b2d83497d98dc06', 'c0957c359b852c35', '935328d1049e18ba', '5d3bdb9c1f87185c', '6e62128a879efd48', 'b918852a1561726c', '4e6b3c33bd1b41ab', 'cf1b989d2cd6a21f', 'ef4731165c5ecb86', '111f07323b6cb3b0']; context = [[4, 60], [73, 140], [12, 74], [15, 68], [9, 82], [11, 74], [151, 236], [74, 161], [92, 161], [32, 107], [68, 119], [30, 91], [16, 84], [17, 83], [29, 95], [0, 46]]; loss = 0.015378 low_pass_filter = 0.300
+Epoch 0: | | 42059/? [7:21:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 42060; scene = ['5ca1a8ea53457a46', '8c6280ae05871d49', '3bc2111ee56bb976', '9426fa1b0ae38a34', 'e99c232259b6ef25', 'a0d5c4c33f29840d', '9e6040ab910d4988', '977dcf6e0fa9dbfa', 'b35d918ee69ca3c9', 'efec3f2a2becbecd', '0d85066629d4af39', 'c13f63c3117b1110', '7ff72e90b288f74d', 'cbed5c1d109a9f28', '66d888e3a0507d21', '1f268c1c41e9163b']; context = [[57, 135], [0, 66], [9, 83], [21, 91], [72, 126], [9, 67], [20, 98], [89, 164], [48, 113], [12, 66], [10, 69], [75, 156], [95, 167], [3, 77], [101, 169], [18, 63]]; loss = 0.015027 low_pass_filter = 0.300
+Epoch 0: | | 42069/? [7:21:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 42070; scene = ['fa005476579f71e0', 'd924ea5aa3707662', '7462ff8dbc5f2645', '8f16e3607a0aa4f3', 'f7e2efed439ab808', '44dd7235598d029e', '5a328134197a99e7', 'ca0381510721729a', '7f49dc4bf2fa2cfc', '6b65828ae07cf6fb', 'd366577a00b9a36e', '50b4e34e571cf518', '6c702b024c54ffa9', 'c20fe86e9eba286d', 'a4960c28b10d5409', 'a2cbc2020855008f']; context = [[5, 58], [149, 224], [23, 75], [18, 93], [4, 71], [7, 79], [16, 65], [1, 76], [18, 82], [39, 106], [55, 121], [0, 84], [0, 65], [10, 60], [188, 277], [8, 87]]; loss = 0.016316 low_pass_filter = 0.300
+Epoch 0: | | 42079/? [7:21:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 42080; scene = ['ffa9716058d530eb', 'c8012e8e79b83334', '8d5e57e2ba2c0ca5', '3ae9fa065ce202ba', '1aeb9da62091547c', 'e72e881c7b485a78', 'e5055d4057f8f9bc', 'ca624f0776c05d9e', '6761209e5375c5e4', '52745202afb6af69', 'abe09fe4b76e38a6', 'db1981bc4f1ce19e', '30a0abf380fe788d', '5b2faad8a00a31bf', 'b900922107e83b97', 'd3a7bfe5c137ad23']; context = [[142, 192], [2, 60], [34, 92], [37, 89], [11, 72], [7, 52], [103, 173], [117, 175], [11, 94], [0, 51], [56, 108], [67, 118], [31, 118], [2, 76], [51, 110], [30, 80]]; loss = 0.013686 low_pass_filter = 0.300
+Epoch 0: | | 42089/? [7:21:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 42090; scene = ['74dafd4844b62b5c', 'f50e880694e40638', '10c466ff6119ce46', 'b8e3a3349ee06763', 'c0ca03bd3bce8a5c', '1f68d63bf9506ee2', '220612f19a047387', '42d5bee0988c728a', 'eec9e36d5f2fc669', '8f9e37df3c8f6df5', '28c821c77eea197c', '417e01de2118243f', '434bcba157a6a55f', '0d2e6f976f5f5522', '86d2989e8679b3d6', '681093b430d94e61']; context = [[38, 102], [0, 89], [97, 152], [97, 150], [3, 60], [60, 109], [1, 76], [2, 52], [25, 79], [0, 45], [11, 62], [131, 180], [10, 85], [29, 78], [46, 101], [42, 89]]; loss = 0.013109 low_pass_filter = 0.300
+Epoch 0: | | 42099/? [7:22:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 42100; scene = ['b8af5b1dafdf212f', 'b9086d2cecefe07d', 'f2dfbbcbe2f3ccd5', '3106bc7a6c027f07', 'fc6b484968a872c5', 'e154da90fb5e072e', 'b3e2ed69a99b2d7c', '93aaaa30360ae75b', 'f9976cb2e4c6dfc8', '8bc0f7f6b2dd43ad', '13cbdf0bfe2b9791', '810d97e97e862d02', '9d4dc226fb3612d3', 'f030216648778de8', 'c6dd634f18d3ad0c', '51cea299a0fa2ead']; context = [[148, 231], [19, 75], [15, 63], [32, 87], [7, 83], [190, 254], [15, 83], [29, 81], [18, 76], [10, 90], [1, 61], [10, 90], [1, 54], [18, 97], [85, 135], [11, 77]]; loss = 0.015809 low_pass_filter = 0.300
+Epoch 0: | | 42109/? [7:22:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 42110; scene = ['2488baa34ee1df60', '97ed0880252f9cf4', 'fe0e03f65ade938d', 'fb8583841b6fddff', '0cfded185be45f76', '51d5937833d23e57', '1de1180d284c6758', '2a33a1cd1a911475', 'a355f3cb04ce609f', '26a57e64e16d1b10', 'b4e4effd1d8df330', '635ca7bbbf10e7c3', '0c5b80baf8409a20', '461f43457daa4b50', '047fdd32d1451feb', '5e1cb673bf14592c']; context = [[3, 85], [9, 79], [15, 65], [151, 226], [16, 74], [0, 87], [65, 151], [2, 72], [34, 105], [218, 263], [22, 109], [143, 229], [115, 160], [43, 97], [192, 277], [1, 66]]; loss = 0.016055 low_pass_filter = 0.300
+Epoch 0: | | 42119/? [7:22:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.0train step 42120; scene = ['6fab51a37edb7739', '66530b646b00a9d7', '936f328f3383e093', 'e227d56dd6f178c7', 'cdea215558754e76', 'cc375304e2e198e9', 'dcb8ad3a1428b56b', '0b4070d37e896388', '4cd18aa0eddf1c14', 'e9aeda15b7117ce1', '71a56f5379e2f975', '9808ade599ce3b8e', 'd887ff15fda99b2e', '11b228589e3142d8', '26bbe9550ed68e33', '4f626955e18d7e9c']; context = [[46, 111], [2, 50], [50, 127], [75, 142], [64, 110], [33, 85], [41, 118], [66, 119], [0, 49], [17, 87], [42, 108], [21, 71], [22, 70], [6, 75], [7, 53], [4, 94]]; loss = 0.011954 low_pass_filter = 0.300
+Epoch 0: | | 42129/? [7:22:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 42130; scene = ['f760f01e89c53799', 'e82f04c31c257d70', '2512655496873dd9', '5578bed0fb36c89c', '2f19a454ec1f7a71', '87a8b7a70aad40bf', 'e258e863df25ba2c', '28c9e70c95461472', '0ff9bf7b8f816f21', '71c5ee090c757584', 'cd6bf9e3944d6789', 'fe7834fcbdafda3b', '6a17fa5243c0ac2c', 'a8e32ae1b20ebcb3', '2cdce95840a44fc3', '6673eddee4bd795c']; context = [[20, 87], [25, 108], [15, 94], [31, 97], [24, 76], [81, 153], [42, 93], [7, 75], [5, 54], [31, 107], [55, 120], [16, 83], [21, 76], [0, 67], [36, 110], [92, 179]]; loss = 0.013116 low_pass_filter = 0.300
+Epoch 0: | | 42139/? [7:22:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 42140; scene = ['45fd872cdda628c8', 'ed8f111fe1e568df', 'a503344a0808e68f', 'c135de062e440f90', '790075f0ba37ab5a', 'a670cb353526d600', 'cea3cd63316eacb5', 'dadfbafdc30544de', '1a88e851d305178b', 'bee0e91025c88c9c', '95fb0ad64871f092', '157ad561307e2203', '05c6adfd0fde1d7e', '8c0143a70cf3e085', '161ff65ff0f9583d', 'd82718f11e4f9f85']; context = [[21, 85], [59, 119], [0, 45], [83, 147], [1, 63], [73, 162], [65, 116], [11, 62], [227, 272], [99, 169], [20, 101], [22, 92], [70, 155], [34, 88], [163, 220], [19, 80]]; loss = 0.012315 low_pass_filter = 0.300
+Epoch 0: | | 42149/? [7:22:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 42150; scene = ['e2dcc1004ef5eb8c', 'e5dca5e8131acc0d', '133d554395e41eaa', '5c6f91cf582708ed', 'ca2fe8b44e617133', '8fef2b61bad0d3d5', '95abb7fcec549b2b', '97535c54a3152d44', 'af9be62e98b8c2de', 'd4066cabb16158d5', '959d7c0bd7c04b24', 'a1b823b2106e429a', 'ee5ea1ea6d5efff7', 'fe9d806cb3061f25', 'e8f23f5065972ddb', '3cabead051e0630d']; context = [[24, 90], [158, 204], [7, 65], [11, 58], [12, 81], [1, 49], [12, 84], [20, 72], [3, 56], [26, 91], [14, 75], [27, 80], [124, 210], [7, 58], [166, 232], [10, 90]]; loss = 0.014748 low_pass_filter = 0.300
+Epoch 0: | | 42159/? [7:22:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 42160; scene = ['b78c654a4eb5decf', '35ba4db99f6f3fe9', '62755beb1ebd7813', '48ecf6d1b62d0b72', '71aeeef5b891a58c', '6f3e34c8d2f3568c', 'abe463f94db2c398', '8a3e41e66e798f50', '793e57b9e2a247a6', '593f6ea531f61ac6', '0e5769089b6efd0b', '83f69d126eb1528d', '7769fafcf6736c1e', '07a772c686e705ad', '2f6cd0a735a85feb', '6ff8cb12afa0335a']; context = [[18, 104], [26, 78], [148, 213], [15, 91], [16, 66], [31, 113], [64, 112], [144, 223], [4, 57], [57, 142], [2, 56], [44, 120], [26, 77], [20, 98], [122, 211], [0, 46]]; loss = 0.013077 low_pass_filter = 0.300
+Epoch 0: | | 42169/? [7:22:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 42170; scene = ['04db0c74a87be8d8', 'fe18c2f228437463', '25e15e214174cae1', '85b2c7cb6c79a2d4', 'b28237b49ddd8334', '3c9b19f5eec7e2f9', '9c981a5948974abf', 'f55cb7b3e9576297', '940a54fc74bf6989', '9c1370001dd0fce8', 'cf931b8cbcea494f', '49e2ff49e509f289', '5d11abd1b3a2c610', '7ed85889128d8edc', 'df87424ea7d30296', 'c5067fed187ef5c0']; context = [[1, 64], [37, 102], [23, 101], [15, 77], [4, 83], [0, 46], [0, 54], [1, 81], [23, 90], [201, 270], [28, 77], [86, 155], [132, 199], [13, 83], [2, 70], [3, 76]]; loss = 0.012326 low_pass_filter = 0.300
+Epoch 0: | | 42179/? [7:22:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 42180; scene = ['3888df11c21d4db5', '42c32233f309708c', '808d34c910e9f8ff', '985a81850d13edfd', '22c651e15b5d5339', '3b5ecc7fa7f0597c', '0b77cab786151df6', '8c662a617235e175', 'eb25a67b8edf24dd', 'f6d7dc72b9906e1b', '99a34d6492f6ccfe', 'dff8abe7fb65a56e', 'e6c85be23fed04b5', '08f81561d2f0195e', '402d1153b582b8a8', '6d90494a91d08cb0']; context = [[12, 92], [48, 112], [4, 68], [89, 161], [5, 62], [2, 52], [26, 98], [97, 161], [3, 58], [36, 96], [74, 152], [40, 116], [6, 74], [84, 149], [0, 88], [9, 97]]; loss = 0.017143 low_pass_filter = 0.300
+Epoch 0: | | 42189/? [7:22:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.30, train/active_min_children_step=1.0train step 42190; scene = ['3e1717aff7917fdc', '15ab3d9b3b4aa620', '22575c7e72324c30', 'c6b59c06634125d4', '82a44bdd6723ac3a', '66c7705eadababf2', 'd1a57d93c940cdda', '5d0a3ff0e60ec517', '35c9bad68b2d0c26', 'd9df345fe1518eec', '846926f897427263', 'ed7301d62809aa84', 'ad65c37e0613e84e', 'd1850dfd19d9717e', '899aae28d5e32d0c', 'd255de42f58810e3']; context = [[28, 84], [115, 171], [15, 63], [11, 60], [74, 127], [12, 59], [46, 116], [125, 199], [30, 103], [99, 173], [29, 96], [9, 67], [38, 110], [37, 118], [2, 58], [31, 81]]; loss = 0.012416 low_pass_filter = 0.300
+Epoch 0: | | 42199/? [7:23:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 42200; scene = ['d38922fef47f54bb', '14a12379ac4fde73', '71ed514b41b8ac5e', 'cc067bb3726f6dba', '202b9a0a354f2059', '0b48360f07bde1ff', '1c2baa22ca752e9b', '395b32343999e1a7', '3507a192abd163e8', 'f31b593e5f477596', '736fdcac4334bc20', '30e84380ee5fcbd4', 'db4fa77344643514', '4655174b7eb8e338', 'bacd58154e400234', 'eac9cdfc69a9cf56']; context = [[85, 134], [4, 56], [32, 121], [20, 66], [50, 98], [14, 64], [61, 147], [55, 140], [36, 89], [32, 108], [28, 78], [49, 125], [53, 119], [1, 56], [10, 66], [65, 124]]; loss = 0.014002 low_pass_filter = 0.300
+Epoch 0: | | 42209/? [7:23:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 42210; scene = ['57c4c871ad8cb634', 'ca9b53deb1359193', '9e58f95fd4a31468', 'fd68cfff861284e0', '84f5ebc130318167', '5e6e2a1a1c382c52', '900771ff22868f89', 'ac56b8116af8c536', 'a56d066178264232', '861bad9244603e85', '6cccd894f3eb33c9', '07f8f5682ad750c1', '78b144c459f5ff2b', '8f55e3be4fc8d508', '43073eb89fa57d37', 'a4c64169db7b2845']; context = [[7, 93], [31, 92], [5, 60], [3, 72], [4, 50], [83, 135], [66, 139], [25, 98], [7, 86], [0, 71], [27, 80], [1, 46], [93, 140], [58, 104], [61, 120], [21, 92]]; loss = 0.014754 low_pass_filter = 0.300
+Epoch 0: | | 42219/? [7:23:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 42220; scene = ['5fd4e49b87e4a570', 'edd9367813a4f0c2', 'ecdfeafffcae9bad', 'f39af59fb4167fff', 'ab0df7dfba225813', '6a8abf8024d445e7', 'bb9481478f3f6d69', 'd35665130d29a979', '89b181a124209b6e', '849d398ea13dcd44', 'de89dbaaefb53217', '03bed910061fc9bb', '129650ee0db68e6b', 'b6ec05fb86c10376', '7b62ee33a18c1980', 'd1562153adf98640']; context = [[0, 47], [17, 103], [18, 91], [28, 113], [7, 59], [0, 45], [85, 175], [74, 141], [0, 53], [3, 93], [64, 137], [189, 247], [4, 74], [6, 58], [12, 77], [9, 59]]; loss = 0.014972 low_pass_filter = 0.300
+Epoch 0: | | 42229/? [7:23:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 42230; scene = ['0928998054c51877', '69e01d9175c24145', 'ce11fac2d43ed83b', '71eaf6a42c20b54e', '478a681c422cede2', '71c8a123e9cdd368', '4e06000409ad97bf', 'f42b9fd27850d7e1', '6130665036744af4', '6e05907e3f19fd3c', '2e25e9e465061299', 'b7a4d8bb62482f41', '97be57ad8c57e50e', '45640ebc88e55a99', 'bd17df2a73c9610c', 'cc3b2bb760ce5ade']; context = [[85, 164], [65, 120], [7, 90], [21, 69], [28, 116], [142, 199], [0, 60], [66, 123], [40, 104], [71, 135], [54, 109], [10, 94], [147, 200], [39, 129], [65, 141], [1, 51]]; loss = 0.016288 low_pass_filter = 0.300
+Epoch 0: | | 42239/? [7:23:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 42240; scene = ['356ba7e96c3d9426', 'debd6aa3bae1d248', 'c46f3f1ddfd8533a', 'd6bd81b4a34ac00d', 'e3671828d14a9106', '18e1ee537cb4b0c0', '3d3c86d6e062354a', '5a59e99413560926', 'e0d9b82ec72e258f', '97e9ea755077ac70', 'abd07a71f19759aa', '1176e233bfb25a61', '1f933c21bbd26682', 'b0b927381cfb029b', 'dfe8c32f21d4e1ab', 'ffe2fb4a8427467b']; context = [[120, 191], [16, 81], [15, 97], [63, 109], [2, 82], [66, 134], [1, 74], [15, 78], [94, 162], [2, 81], [5, 65], [1, 85], [41, 114], [55, 142], [73, 151], [80, 157]]; loss = 0.014059 low_pass_filter = 0.300
+Epoch 0: | | 42249/? [7:23:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 42250; scene = ['dfc00e500e9b07b5', '04d4243f168b02f9', '8d54e7bed1440d1d', 'bded10a91e89aa04', 'ae24ea068f865c14', '82cf81da29d842de', '22d083b9c7938fc3', '34f14a8b4ea0df41', '5763103e65b7d249', '070d7b604525ce5b', '7c67db0cf2c5891c', 'ca9e0af526c9a784', '70ff3aa16e0ae951', 'ba1f821b91b11271', '2c74a8c657cc6205', '8930bc7c49667d9b']; context = [[19, 104], [55, 107], [29, 117], [173, 238], [0, 76], [0, 45], [26, 116], [33, 101], [45, 96], [5, 86], [8, 77], [1, 75], [15, 72], [17, 76], [8, 96], [13, 58]]; loss = 0.015026 low_pass_filter = 0.300
+Epoch 0: | | 42259/? [7:23:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 42260; scene = ['67aa2aa232d5369e', '601ccf10319e2f53', '3b559cada02ade84', 'b5460ab2cb43fba9', '3f1b91f60386c5f3', '729a45ca32c04257', '1da8bba08ef5d022', '4040186d9ad1f65e', '41d4d91f1aa80efb', 'a2bae8859904fa7d', 'd860a45ad00c65b0', '07be1c41e6e00f4b', 'ca11186f72f84306', '0d7cbb1d4e7831e1', 'f3c76b5cc6bfb891', '0cba06c344cacaa6']; context = [[5, 82], [91, 149], [28, 85], [4, 59], [57, 125], [201, 266], [4, 89], [103, 187], [7, 59], [11, 92], [116, 183], [0, 69], [23, 70], [20, 70], [33, 106], [26, 76]]; loss = 0.014988 low_pass_filter = 0.300
+Epoch 0: | | 42269/? [7:23:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 42270; scene = ['871c5356143bef59', 'd063e47225f787c3', '0a543133235ded4a', '212d92ca9842dae0', 'f5a615c356cab245', 'd04a28d0772e76c8', 'cc25909697786aad', 'e4ba635ef37eef5a', '21c70595a4f20e8c', 'd6590efad5308453', '9c51cf4e89113126', '5ccebb9ae8057cb7', '75f9f8b758663455', '493811a076df63d0', '1df9284b9b3b08ec', '406691a64cced965']; context = [[3, 88], [24, 71], [24, 84], [40, 96], [11, 62], [8, 93], [16, 68], [7, 59], [6, 54], [14, 100], [134, 181], [19, 73], [13, 80], [48, 106], [0, 80], [46, 115]]; loss = 0.015005 low_pass_filter = 0.300
+Epoch 0: | | 42279/? [7:23:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 42280; scene = ['75b86a4e2efa0937', 'fede794659cac7d1', '4fa9fd271ce7d88b', '20551c90baa98c3e', '5fc78da0b2bb89a5', '3e6a362c565f1728', 'c1028e67d73c3504', 'b8d7453289f40410', 'a3e51565a737569f', 'ad5dc822773e0a4f', '429346e05523dc34', '5fe164cf0b8fe054', '92771a3fc7ea6457', '4e671a4706cc7218', '71bb669d936a5718', '0ccfac8b4f535035']; context = [[6, 93], [0, 45], [36, 105], [154, 222], [101, 160], [7, 75], [128, 205], [39, 125], [15, 73], [2, 92], [58, 128], [3, 48], [74, 153], [9, 77], [13, 63], [73, 118]]; loss = 0.014676 low_pass_filter = 0.300
+Epoch 0: | | 42289/? [7:24:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 42290; scene = ['5c1dd2301e22374e', '8ddca90ddef969af', 'c2648243586329ba', '699dc0e0cbd1d2d5', '9a2d4c60e9585ed7', 'ff4fb430b2108b32', 'aa801c6cfb72fdf8', 'b7873e1ebdb5721f', '04de1a4925ce16a7', 'cb3bac70297d52c0', '51e99330cbe8b36a', '2c3bc0c318fa3771', 'ea2343e4a390441b', '95cd0bad15de18a9', '62a704ef28638fff', '0b8c61314c32236b']; context = [[0, 53], [107, 183], [60, 106], [158, 221], [148, 207], [18, 96], [0, 46], [34, 105], [23, 76], [79, 164], [12, 63], [6, 77], [9, 66], [49, 117], [38, 105], [8, 75]]; loss = 0.014264 low_pass_filter = 0.300
+Epoch 0: | | 42299/? [7:24:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 42300; scene = ['5eba0adf88b41a12', 'dbbc84703e42d174', '844f5ac80c18d101', 'a9a85280b420694a', '986577a37b521a50', '50e81e168f35aad5', 'bd4fec10278764e5', '3032f67485c3b01b', '1c1ab960acf9d1cb', '9eb64d36e937beef', '17887dbb8a52cb83', 'fe02eaf3a7d21398', 'a02d73f77391cd9e', 'fcde94f7a601bfb7', '49472911db5488cf', '24cec1d62733d776']; context = [[64, 114], [20, 80], [49, 100], [14, 67], [73, 142], [21, 88], [81, 136], [73, 158], [2, 56], [100, 145], [16, 65], [0, 50], [0, 51], [84, 150], [64, 134], [45, 99]]; loss = 0.014871 low_pass_filter = 0.300
+Epoch 0: | | 42309/? [7:24:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 42310; scene = ['7c6cff8643a2c250', '0d29df52e52443e8', '5b42aadc59b3f4f3', '42a8e3c55088a4dc', '377a26af83fd210d', 'da45e78b9132a88f', '69f987c60219384f', 'b6c73d19af4566f7', 'b2a5a5d457aac9e0', '051f0ec01ada8a1c', 'd49e41d133d0b08a', '9694d2d9cf59b028', '574aad9829c4cebf', 'ea5a0447e990f968', 'ac63774425412c69', 'c3533af28febf55b']; context = [[12, 86], [39, 118], [47, 125], [49, 98], [25, 79], [81, 151], [47, 97], [13, 63], [211, 256], [0, 54], [48, 119], [153, 203], [1, 62], [21, 73], [25, 72], [70, 160]]; loss = 0.016552 low_pass_filter = 0.300
+Epoch 0: | | 42319/? [7:24:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 42320; scene = ['94d1e2d3ad8f5b7b', '4b6f368238db6ba0', 'a64864550f5058bf', '41eca61ee7abdbf1', '067c03a150a6535d', '8ee32af7b707a377', '1f0a743ea04c1022', 'b8709511255b1c76', '0b3f29e16000d254', 'c3fa95ae16106a95', '11f58bb45f6b246a', '334683227f0e3f59', 'e5cd29987417f050', '9c4ed2cd8353b8c7', 'a48e4e90b76cc3a3', '05efd1fc549ed5f2']; context = [[1, 62], [2, 52], [121, 170], [64, 135], [48, 130], [4, 65], [10, 70], [24, 80], [34, 80], [171, 237], [13, 78], [13, 89], [135, 210], [2, 88], [45, 95], [47, 131]]; loss = 0.012436 low_pass_filter = 0.300
+Epoch 0: | | 42329/? [7:24:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 42330; scene = ['7b371be1f5174844', 'bf78e74b9709529e', '0e85f9c3973b1102', 'f0dede73d7704d1f', '855462aca11242cc', 'b215bd4e6fb3908e', '1a314c79785c4dfb', '7c4216f5c1228f5d', 'e39ffeeb4da1c6d7', '6aa62d34da96fc7a', 'fd06c847ebd02610', '09b145bcc2d32627', 'fc0c437a3eb1dc0a', '916c0d7d2bd7c3ac', '2b1287c2ba2e8ed7', '6bda2ed53a6c45a0']; context = [[91, 159], [104, 166], [166, 211], [18, 79], [99, 158], [16, 102], [193, 246], [10, 70], [3, 63], [80, 129], [2, 57], [74, 133], [19, 67], [28, 73], [34, 82], [2, 56]]; loss = 0.011708 low_pass_filter = 0.300
+Epoch 0: | | 42339/? [7:24:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 42340; scene = ['f12488eb2f36d1ea', 'a0493b972780d9ae', '38d02514748fce78', 'dbbd2d62968c2aab', '0ea03727e64c2e53', '7567fe94d4fba9d7', '68d0e78200de8dbf', '06c7cb360e434de5', '3d41895358e224b6', '37578ce7a19d91aa', '74c2c2c5287346b6', 'fc8aa2c335c15eb9', '3e68b6b7bb281e94', 'd93de5f6c62c01f3', '25bd820746058fb5', '506fed97ede5adbf']; context = [[56, 112], [83, 173], [73, 134], [54, 128], [0, 67], [12, 66], [88, 143], [12, 64], [35, 84], [0, 85], [43, 122], [59, 118], [21, 109], [0, 89], [27, 89], [13, 87]]; loss = 0.013845 low_pass_filter = 0.300
+Epoch 0: | | 42349/? [7:24:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 42350; scene = ['e8ce258cf5f7231d', 'dccef2390d0b6851', '60531462424bd617', '2ff7d3d179ff2ed0', '795b958ce87d556a', 'ecbf048504e09969', '5f1fbee3e97e7470', '965f0970da310cda', '90c1483c736e3b41', 'd7fd0247a853f44b', '220133e56a34968b', 'b10e2cfbec255d44', 'ef3467589fd3709e', 'f66ad09301a6df7f', 'bca70d979a3bda33', 'f349a7250427b618']; context = [[2, 85], [189, 278], [45, 129], [30, 95], [25, 107], [0, 77], [0, 49], [12, 86], [7, 69], [131, 182], [13, 97], [0, 45], [11, 81], [46, 94], [127, 192], [15, 74]]; loss = 0.014324 low_pass_filter = 0.300
+Epoch 0: | | 42359/? [7:24:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.60, train/active_min_children_step=1.0train step 42360; scene = ['0e3f607337796809', 'abe2e633aa6852c5', '477268eceff12807', 'a8fd9eded2ff8913', '52c3a0280109a146', '4d8d06f8f01e490b', '60cfea5a1bd567f2', '15482bd0d11cefd3', 'c3a3738c8ddb0e85', '29a281fc3ab05630', '469357405bf85934', '32a71cbba220ffc1', '7764929e30ee8763', '0dff7263b1c569ab', '91995cefc8e62e40', 'ba696be52c8963ad']; context = [[6, 57], [9, 68], [3, 48], [13, 61], [34, 93], [1, 73], [4, 51], [8, 80], [11, 62], [7, 71], [19, 90], [11, 96], [49, 108], [15, 88], [173, 229], [155, 201]]; loss = 0.014065 low_pass_filter = 0.300
+Epoch 0: | | 42369/? [7:24:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 42370; scene = ['8c224074efc15ec0', '3cb28ed53ac1075d', 'c34a90bb94522415', '852949800bb15761', '6c947188060d63fa', 'c9d7a04aa04ce07d', 'e0b0cf7daed6dd9d', '851c56423e13bfa1', '32067753f8e8d4e0', 'a992c9caf06a70b5', '680269475a3d39bd', '3d5aba046f430460', 'd3cd37f926d8a6ed', '35b175d2b24bbb7b', 'a28cbb1b7942618b', '96505316a4f6a36e']; context = [[29, 83], [3, 68], [107, 180], [23, 85], [55, 113], [92, 149], [0, 63], [16, 93], [13, 100], [0, 90], [26, 76], [128, 179], [108, 180], [150, 219], [26, 113], [25, 108]]; loss = 0.015354 low_pass_filter = 0.300
+Epoch 0: | | 42379/? [7:24:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 42380; scene = ['9c6c1629931d179b', '9360aefce796337f', 'e89671db250ccf4a', 'f0178789444cd6ca', '65f17c8a6c37e394', 'bc5f1d764f1c0257', 'e88b1b4a6fbc3f23', '32ac33e7248c994b', '7fd8856e57e2022a', '40807dddb2f5002d', '3ddcddb0761ce0a1', 'b05a8a1fc5854b17', 'c29f1cb0ef4b9be0', '100d5edac75448f7', '01975851834778fa', 'd5044d860bb05680']; context = [[45, 98], [125, 210], [74, 143], [162, 231], [0, 57], [11, 71], [63, 120], [2, 59], [202, 264], [3, 50], [28, 79], [24, 104], [126, 177], [2, 64], [49, 123], [23, 76]]; loss = 0.013625 low_pass_filter = 0.300
+Epoch 0: | | 42389/? [7:25:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 42390; scene = ['bb24446f1907068a', '05c38d7f16dc06aa', '61fb758f043a73cc', '5991f9d30f08eb2b', '14fc46941d622236', 'd42fb79e6ddf0627', 'c3db550fbcb1f2b1', '4ca08ed9abd6d4e8', '51f33cc6d9666bb2', 'aa97744d1ed6c13b', 'f792272e396d1964', 'b7aab68953b46e64', 'c92d3baa79f78d32', '9f3a66dc64d7fdc9', '162bcb36d182892e', 'eb09cd7e9ffbe950']; context = [[11, 96], [0, 84], [38, 101], [21, 69], [30, 99], [14, 101], [9, 65], [32, 111], [24, 86], [5, 77], [47, 108], [0, 47], [3, 68], [35, 85], [79, 143], [27, 74]]; loss = 0.012764 low_pass_filter = 0.300
+Epoch 0: | | 42399/? [7:25:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 42400; scene = ['06e44b2d2a485af6', 'd70925635aa5861b', 'dd16b7363e558119', 'aa2d001cd7abbde8', '08c3797bcc0cd877', 'cae1cf64527a0ee0', '57431541b1a92a38', 'fcf4a08c1185110e', '1dcecfb91ab92796', '9c4156a954e9b35e', '4f89397e0e0bb483', 'eb0aa1a4fb58c50c', '02c5189e78da36be', '1dec13f4c8ad833a', '345bdca253923f8b', 'a0a44d5b7e2cb825']; context = [[17, 99], [0, 48], [143, 200], [11, 57], [7, 78], [9, 54], [0, 51], [13, 102], [6, 87], [50, 119], [58, 126], [145, 232], [0, 57], [25, 80], [12, 78], [10, 56]]; loss = 0.012653 low_pass_filter = 0.300
+Epoch 0: | | 42409/? [7:25:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 42410; scene = ['dcd5b87a61298893', '3249184c77ec280c', 'afb87f77f9bef824', 'd6ae7df1d2f33c9e', '8ac9c6987f4e300c', '54dcba84c9970357', '22d1422ff4247b34', '52a42bfbe8f965b5', '2cabedba16dcdc84', 'a93cf5afa5172f2d', 'de03eb2fb73856a2', '1e81c23a212ee848', '773592c80a3cbf02', '1bd0890e0abf8718', 'ba301332e2986b17', '10a2d0db5c8c0962']; context = [[34, 122], [57, 122], [19, 69], [16, 74], [30, 96], [5, 61], [61, 118], [68, 153], [64, 111], [176, 235], [26, 71], [21, 85], [1, 77], [106, 155], [86, 139], [7, 76]]; loss = 0.012784 low_pass_filter = 0.300
+Epoch 0: | | 42419/? [7:25:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 42420; scene = ['04d6547f76c82882', '4b15ea1560f7c424', 'c7c6c4112a3badf3', '2870538dbc6f5d1c', '6ca39802dcef328e', 'f29212dbf83dd9b8', '9176677777da9d07', '550bce5a68e987d9', 'e616312de3f164bc', '1136264929a1c20e', 'f54731b471e7b2e5', '77c03290d901ec15', '946f8b76aa5ffa37', 'da66acbc07d17fee', 'd6f6f9a2f1fa321a', '4c86a1bf572ecad0']; context = [[3, 54], [22, 81], [6, 51], [67, 127], [39, 99], [62, 120], [27, 87], [18, 72], [5, 70], [1, 54], [7, 87], [100, 161], [38, 89], [1, 69], [43, 89], [25, 102]]; loss = 0.016305 low_pass_filter = 0.300
+Epoch 0: | | 42429/? [7:25:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 42430; scene = ['08d205f4f1290034', '03b718ad527c4d1e', '9c9a09dc05ae0717', 'd60d506eb1bebd6a', '046fb9f668ac6b20', '6bc1f4da43d84f90', '21638997ab0430ad', '900bc6e39af26c05', '4763370f2ce77179', '39e26c86365b31ac', '506de8c325ed4b49', '06d946d96de5aed3', '165329e317ee69d8', 'c521fb47ce9ddc0e', 'c4aa2ab123fd8eb7', '46399067bb53549d']; context = [[18, 99], [141, 220], [210, 273], [5, 63], [43, 116], [93, 145], [100, 158], [21, 83], [0, 58], [0, 87], [1, 60], [0, 73], [63, 150], [4, 84], [33, 102], [49, 126]]; loss = 0.015844 low_pass_filter = 0.300
+Epoch 0: | | 42439/? [7:25:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 42440; scene = ['7b7ad57e64ab318f', '40abfd1ff0bb2b84', 'aecc8b4894a6aae6', 'aadfba62f23cd2d5', '8aca46af47f5c01d', '1e926259ca35b8a1', 'bebcc76384ce0054', '7abd2cf015e33118', '67d059492bf13057', '54f68167ea012743', 'b06d8179dc790851', 'c18059287117dc42', '1f1744b617eb9080', '95944b694ab2fe24', '36752f8fe51ec622', 'e1cdd73fcf663dff']; context = [[3, 74], [104, 167], [2, 75], [0, 75], [25, 80], [7, 71], [4, 52], [38, 108], [72, 161], [65, 110], [3, 71], [9, 77], [24, 78], [116, 161], [106, 192], [9, 62]]; loss = 0.014893 low_pass_filter = 0.300
+Epoch 0: | | 42449/? [7:25:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 42450; scene = ['f8d3ad05afe92b39', '3e81ba33406f43d3', 'bb3f4b8c39aa0f9f', '77dfb192a7b7bb3e', 'e12e86bffa90859c', 'ee02795c2cab0d84', '8f85d318571f0d5a', 'f99052aa7f75d58b', '4001283461bac478', 'cdedebc7404b55c6', '0914ab351ada6998', '5d021215098f312b', '42c0257c36a9e803', '65c475803b9b5228', '21dd673017056093', 'a157e3e707b308a8']; context = [[2, 70], [8, 81], [79, 166], [2, 73], [6, 85], [109, 168], [3, 50], [99, 182], [122, 211], [24, 81], [2, 51], [1, 67], [16, 90], [41, 100], [82, 144], [21, 75]]; loss = 0.015957 low_pass_filter = 0.300
+Epoch 0: | | 42459/? [7:25:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 42460; scene = ['61e4f28043ada40a', 'e923507f19f5cfba', '6ca890904770aebb', '593538382d2dc847', '7544731be485052b', 'b6d06e505b0cbe3e', '00980329a3221f1c', '6f3fb517d1798d03', 'cd0794502b8203f9', '81c8fbde888c820b', 'f7049958f65a5e49', '009700fcc49fe368', '8b52d8f5da192534', 'f013b6c547a10306', 'a480e387201663b2', '6d34d343b03f926d']; context = [[1, 50], [0, 89], [64, 143], [50, 131], [96, 180], [97, 186], [0, 69], [6, 56], [18, 74], [75, 145], [18, 96], [30, 85], [34, 118], [27, 80], [78, 146], [39, 85]]; loss = 0.012667 low_pass_filter = 0.300
+Epoch 0: | | 42469/? [7:25:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 42470; scene = ['4308154957c1ef63', 'db9bc0ff275d4fbb', 'cf784e584d2d33da', '1b38ef04f2839dd6', 'be885aa875712dde', 'c10a042037a5a120', 'd29ff797dbc69ab5', '0016d89da2d78196', '2950884335bd243c', '8663906248d346cb', '594a53a4007ff3ee', 'fc5c4244dd42b9c2', 'ea4fb83f87109ac9', '6f594681417977fa', '66967fa4bf26f8ec', 'ba05fda6ed12c480']; context = [[0, 56], [47, 125], [5, 50], [51, 121], [64, 136], [6, 61], [30, 91], [86, 159], [19, 97], [74, 155], [10, 71], [54, 106], [0, 52], [2, 88], [16, 87], [0, 72]]; loss = 0.016865 low_pass_filter = 0.300
+Epoch 0: | | 42479/? [7:26:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 42480; scene = ['7c317155a37b32b1', 'c4784925d3ddbb33', '6e371f54140af211', '656985d12c9330f5', 'bf2209a2538edc1c', '8a969f731adacdfa', '4317f2b8b541e154', 'ec1b6db4c64457b4', '8572c96093dc0b71', '78db1f89094f27fe', '3a8f14b855f7f4ee', '88bebd73e6ac2074', '4db602eec0761daa', '0f4dac87d0ddaa3c', '21addda4549ae0af', '12dd594ddd87c24d']; context = [[56, 139], [79, 137], [2, 73], [0, 46], [16, 65], [66, 124], [0, 63], [63, 137], [34, 113], [127, 200], [0, 48], [16, 85], [3, 64], [14, 59], [43, 132], [16, 100]]; loss = 0.013895 low_pass_filter = 0.300
+Epoch 0: | | 42489/? [7:26:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 42490; scene = ['be9467286fec8dff', '20c281f4c8e00b37', '67b1be7cd641299b', 'c5c097f9a935df56', '53f385284a6dfb3f', '950229fa2be0233b', 'b69e1ebc472b99b9', 'fca92928b33f052e', 'bb8a1e105ddf619e', '52079a38d11843c2', 'c16752b5a01dec29', '3647ff5e90d6af43', 'f4f0f0d4a554cfee', '264e8509690b1ea2', '0415ec2bb90458e3', '95a6fae4dbeb6546']; context = [[23, 81], [127, 177], [35, 105], [5, 74], [104, 174], [12, 98], [118, 175], [62, 133], [8, 70], [20, 91], [17, 93], [7, 62], [51, 111], [153, 239], [0, 58], [40, 85]]; loss = 0.013136 low_pass_filter = 0.300
+Epoch 0: | | 42499/? [7:26:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 42500; scene = ['9b8fd789ba8b27ca', '7086b238d97bd8cc', 'da3e37eecbffd10a', 'c053559c523e6708', '7022a0fb6e6386cd', 'ac507b8e32118dd5', '7db355afc543bbc7', '441edf6229a74d10', 'b7293cc97193f822', '1d5b1fd9addc5397', '3afea6460cfb4f15', '7bb0a3af8524ed86', '8f928217e91256c3', 'e754578fd748a51c', '06517d6ba13f0022', '85d8b40beee1e26c']; context = [[64, 134], [61, 131], [0, 69], [99, 144], [7, 86], [2, 73], [5, 74], [121, 182], [12, 60], [1, 47], [1, 59], [4, 57], [3, 48], [34, 99], [57, 123], [149, 208]]; loss = 0.016437 low_pass_filter = 0.300
+Epoch 0: | | 42509/? [7:26:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 42510; scene = ['811edab8b5afc0d2', '8ef6b6c6c432d6ee', '56d524bdd9fc0e0a', '204d6f477f5b0aa1', 'ec3a84969ced5ce8', 'c089f0d568b71150', '75547bdf7b30e09f', '63cde01a2b9416f8', '01c0f4a6c7d1c5da', '5a848eab4dbf1a72', '736faba49254299e', '3ddb95c68145489b', '883b51d91d22e0d9', '633044daa78446e2', '9a3e7bd7d05bb681', 'cd00b6547676486b']; context = [[2, 51], [63, 109], [180, 244], [71, 146], [89, 139], [3, 88], [14, 73], [142, 209], [27, 73], [19, 76], [2, 81], [11, 86], [7, 93], [15, 91], [8, 59], [190, 276]]; loss = 0.017927 low_pass_filter = 0.300
+Epoch 0: | | 42519/? [7:26:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 42520; scene = ['009a939c6fef1912', 'eeb68c98a89f964b', '53275f6cbff0bc31', '61b12305201e2d10', 'd68713b1988b6c4c', 'ff6fdd6f7234c395', '6a7e622d6800fcd3', '50772c6885297d20', '203cf1f1c159a3b8', 'ac72c990c7e67e81', '078ce71ff61a2765', '590e0f3a7154f032', '70f2a652b2cc3521', '2b2ea8bfd9bb3c2d', 'bec7d680d0903430', '2350bd483fb3d893']; context = [[6, 60], [136, 203], [28, 100], [60, 148], [2, 47], [14, 73], [12, 67], [66, 145], [4, 50], [35, 90], [4, 70], [119, 185], [7, 82], [16, 77], [40, 102], [54, 143]]; loss = 0.015902 low_pass_filter = 0.300
+Epoch 0: | | 42529/? [7:26:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 42530; scene = ['940c0485e5b7b5a8', 'a516469d68eb2932', 'd807cc0cdc241ec3', '0c1ac606620e5238', '0ea6cb5416dfeb41', 'c7a425192f633774', 'b2569229b71e0bf8', '22cbdc156eda0b37', 'd683f1b0a075297c', '7328a7f5360fd6bf', '2246a06adeacc230', '3eb933c3d09e01a6', '4b0fdf86c6cac027', '4456801bad039b03', '64626bd202f2254c', '69ae4d9c04b6847f']; context = [[146, 234], [1, 53], [19, 72], [163, 213], [87, 152], [84, 155], [1, 46], [66, 152], [1, 50], [28, 76], [13, 68], [45, 113], [16, 64], [105, 167], [44, 106], [20, 73]]; loss = 0.013174 low_pass_filter = 0.300
+Epoch 0: | | 42539/? [7:26:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 42540; scene = ['cc4736d813cd7be5', 'fa1a9107b794d367', '7eb30b2520ec249b', 'df6c10f80caca76b', '770352d5c0066b2e', '8cee033ad88550f2', 'da3d7abde96586ee', '9de17b1c2e87f15b', '7acc18a56014e4e4', '00f45c6397bb2b04', '522c151d9f3eee00', '2e5f4b3a266d5486', 'cc683bd8c751ce99', 'a94dfc1ea24c5044', 'd97f6d4e997294a9', '29565476412f80d2']; context = [[63, 134], [6, 93], [172, 262], [31, 104], [63, 108], [15, 85], [2, 55], [80, 163], [84, 165], [37, 84], [25, 75], [4, 52], [147, 223], [26, 73], [16, 76], [157, 207]]; loss = 0.014086 low_pass_filter = 0.300
+Epoch 0: | | 42549/? [7:26:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 42550; scene = ['7bd870f9b2a9a6f7', 'bf09418608207a23', '764281da53fca2a0', 'c084573502466243', 'da3b6adaf492411a', 'a52873b76bc23753', 'a3655a06595bfb29', '9727a06ab104dd69', '41ac5e73b4bb9dd3', '9c6b4263d2b5bf61', '57ef0c24d90eb0ad', '6f9a38e416c0cbbc', '3d0e037775a94dad', '901acd3f5f61725e', '7aa1330f7063540b', '5c6cc840651fd034']; context = [[39, 104], [53, 100], [0, 69], [217, 272], [1, 51], [64, 152], [22, 109], [130, 176], [1, 83], [15, 98], [1, 78], [6, 75], [68, 138], [94, 147], [11, 74], [9, 59]]; loss = 0.016923 low_pass_filter = 0.300
+Epoch 0: | | 42559/? [7:26:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 42560; scene = ['9543fcde99db112f', '7aa6654b0279e4fa', '571499e260e393fe', 'e9ba3b63aee05039', '729657af7e0573a7', 'cb62165828675290', '577813a4c095fe63', 'f10435a1a5438283', '61501516279690a6', 'bdb7ab53ed03a3c6', '78c1460085459bfd', 'a735bcc21457ef62', 'd19a0946a12bd90e', '638d154abc66e2c3', '1da5bd3938d1106e', '30f8149501a9caa1']; context = [[107, 154], [36, 87], [35, 83], [19, 78], [5, 69], [63, 113], [30, 108], [2, 73], [9, 90], [11, 71], [3, 90], [5, 93], [35, 123], [7, 64], [17, 94], [10, 97]]; loss = 0.014324 low_pass_filter = 0.300
+Epoch 0: | | 42569/? [7:27:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 42570; scene = ['b389cb9c8558ecad', 'd95ce46f540c1d9a', '5bdfd491073eeefa', '10a6ea4d69a2134e', '266a25ea018c3991', '4b73003325566332', 'c0ea1e538c691ab1', 'fcbdcf58e73c359b', '32f4633685e64fe3', '410f4bb395cc0603', '17b8b7257c104ad8', '9ca0e934d20c9c39', '689bbb5e507bc181', '3d6c00b8da94e9fb', 'b04e5c227aff1e96', 'bf3af518a9d57ab2']; context = [[12, 66], [27, 99], [6, 89], [110, 183], [27, 72], [3, 53], [86, 168], [74, 155], [218, 278], [5, 76], [35, 95], [0, 47], [33, 121], [91, 139], [10, 83], [45, 102]]; loss = 0.012883 low_pass_filter = 0.300
+Epoch 0: | | 42579/? [7:27:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 42580; scene = ['5111c7e2b993a59c', 'a7411d99c980c19b', '53dd8f88f5a8df75', '48ea789ae4068f13', '31635ff9a2e3ccc1', 'c51f5219c3d09e33', '8f3647ba2a7208d5', '755a833b56e0f079', '5747f4b140d83aa4', '5671fc8bcb5c086b', 'dde473074941ed5f', '4e66b9803173ed3d', '9559990c1ce5c206', '48608b5e820962c5', 'b7d857ac614f9c3c', 'bd15af2177366253']; context = [[45, 93], [101, 160], [84, 135], [70, 121], [152, 236], [13, 84], [5, 55], [2, 49], [65, 122], [7, 72], [157, 226], [25, 86], [7, 69], [48, 135], [18, 86], [75, 158]]; loss = 0.012912 low_pass_filter = 0.300
+Epoch 0: | | 42589/? [7:27:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 42590; scene = ['b294bd00cb341420', 'aa28a8cd478c897f', '00a7a9c0ea61670d', '5dae4aa06fa6e450', 'fe4cc085e4b2ddd0', '7ef560e3c9ae96ea', 'e686e219362ed1d1', 'e73ec3116cc77547', '30ce8420831f89d7', '2fe474f8e633fcae', 'a622744a3a2d2b04', 'a91843042087bd44', 'd8b5a46539b588b2', 'c4fe7f9718c54978', '451cbada271e43da', 'c526862108180b76']; context = [[5, 52], [35, 124], [3, 53], [51, 96], [22, 73], [15, 105], [2, 72], [106, 159], [18, 86], [43, 91], [73, 119], [114, 174], [89, 136], [13, 98], [74, 144], [111, 172]]; loss = 0.014190 low_pass_filter = 0.300
+Epoch 0: | | 42599/? [7:27:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 42600; scene = ['6f8cce689756a07d', 'd48d56679e4ef811', '0c6042e9899a2e96', 'd059e03df51cd36e', '46564aa3cafd9354', '2088ec79cded5c6f', '1d7eaf00094f2017', 'eeb054ee23310531', 'b87faab6a8ba27a7', '861308ba77c9244e', '50eca5cae5cdad57', '8976bcb5f9f62a5f', '580d3485f476c035', '1febc354d5524e1f', '54e91a756a41c2df', '5f775c3cf16e4fb7']; context = [[33, 88], [25, 102], [63, 138], [0, 64], [17, 64], [65, 113], [46, 134], [13, 63], [3, 57], [1, 46], [11, 70], [9, 65], [117, 196], [24, 79], [0, 81], [15, 72]]; loss = 0.013987 low_pass_filter = 0.300
+Epoch 0: | | 42609/? [7:27:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 42610; scene = ['35e10408a07458fc', 'b22ecfd2e0500719', '52c7f7de545e4b71', '1f448be55dacae22', '48dd5e8585754cb0', '5ed76274f5543cfc', 'f545152700b96263', '331ef24c06150099', '32dc706b5277e8a4', 'bf8ad1259257dc45', '6c0ef012029b30f2', 'aae62c9143d59bf0', 'd88fa63cc32b7683', 'c2c61e3082375bd8', '0edd08d42e5a2f9f', '650d86f52cef496a']; context = [[1, 83], [12, 70], [14, 73], [66, 125], [30, 80], [2, 79], [0, 45], [188, 267], [10, 74], [3, 57], [66, 144], [195, 241], [13, 61], [17, 82], [80, 135], [184, 262]]; loss = 0.015489 low_pass_filter = 0.300
+Epoch 0: | | 42619/? [7:27:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 42620; scene = ['31ba0028326b8b17', '2726f059d69c25f4', 'f81c1b6ddc6962a0', '1b8abd07e10f4e79', '5f45c360d76a3b12', '50c7f40e49739339', 'ac79adb55b65db02', 'a3a75f3ba499bacb', '415660809150f2f3', '5be2cd2ff1685b84', '8aa9c11288e2f7be', 'd825d767d75dca20', 'c0dd9c8487fa0e5d', 'c78ffe948c3abe5b', '283d170b23705e00', '8950913eab2e5928']; context = [[154, 216], [58, 126], [48, 126], [4, 89], [4, 78], [15, 69], [92, 155], [4, 52], [10, 99], [139, 188], [164, 222], [113, 170], [46, 91], [99, 147], [6, 73], [14, 68]]; loss = 0.013280 low_pass_filter = 0.300
+Epoch 0: | | 42629/? [7:27:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 42630; scene = ['de561e02e852ac64', 'c1d702f24b2f7bfd', 'cd83136b559517cf', '2cd702dc4fdef4a4', '542540d922d01209', '7d7b8d02fa56e811', 'cf4a0213f57bed85', '541275236e1e56fc', 'ab7f018f21bef342', '89dbf48fc8772aae', 'e7dfd4fc097e0d5a', '642cf78c4fa0ef61', '6e4cf169bcc208d0', '1de8e1eb82d14d6d', '0ad3576e62a8b32b', '79b7035b6671047d']; context = [[124, 187], [2, 52], [3, 57], [4, 93], [1, 65], [116, 164], [34, 89], [2, 70], [2, 50], [96, 154], [62, 122], [1, 74], [11, 60], [2, 67], [105, 174], [110, 185]]; loss = 0.015427 low_pass_filter = 0.300
+Epoch 0: | | 42639/? [7:27:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 42640; scene = ['7c5b46a34157e77b', '1fa6c5135d010aa8', 'e09dc43b0c00327b', '5fde16a64e4bd9dc', 'edbbab4152cdeb19', '30cf7e0c34993183', '3eef59121f03d8e3', '7f8c3b43ac10d37d', '8e706401c6118bf3', '74beaed0bda427e3', '29a2d24653a37bb2', '4a1362e904d70076', '210ec5fde0310938', '3fb72160a021e835', '067f3748ffc16c67', '115d1b9b280160d0']; context = [[0, 51], [5, 82], [25, 79], [23, 70], [28, 76], [69, 114], [1, 84], [53, 111], [30, 103], [42, 103], [152, 211], [36, 81], [9, 68], [76, 149], [1, 47], [8, 62]]; loss = 0.012694 low_pass_filter = 0.300
+Epoch 0: | | 42649/? [7:27:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 42650; scene = ['6004f467be73b0db', '1d4265985e7667cc', '0cef8a131f31a91d', 'f348b20c0df04245', '468a367c6bde7be7', 'ce8aee19127c3952', '7e861370e03b43fd', 'c19488b4bf826477', 'a2e5f84fd671b85e', '53daa5ea0d4b98bd', '04b29f18ba65f722', '94216becd67304a2', '8e605cf190082bc7', '1a565ef44363e64c', '1a4ddcf447f6a98c', '17b3e45bf90b32b3']; context = [[14, 74], [0, 90], [1, 71], [100, 165], [8, 87], [12, 68], [4, 79], [34, 98], [10, 81], [75, 138], [17, 76], [24, 99], [1, 59], [80, 170], [61, 121], [5, 63]]; loss = 0.012161 low_pass_filter = 0.300
+Epoch 0: | | 42659/? [7:27:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 42660; scene = ['33358de97d808ac1', '39a2e6d8f621cf32', 'f5465b7e3e63562b', '09d9154d6c630d79', 'f57ea5136da9cd92', 'ad7c9253e7d65d04', 'f8c20984cae1a403', '1acfcdec6ff74aa7', 'e32edfa8b94975f4', '610ffeb0ae2526d6', '286a0745dbe76701', '8101b85113b0b2c0', '3d590ca24a55b272', '5d4aa868de621c6e', '3725b3e558929f1c', 'd6c1a036ff4473ff']; context = [[8, 67], [13, 101], [8, 67], [4, 54], [60, 145], [0, 66], [26, 90], [9, 69], [134, 218], [32, 96], [39, 107], [168, 250], [61, 138], [33, 111], [2, 69], [42, 116]]; loss = 0.017404 low_pass_filter = 0.300
+Epoch 0: | | 42669/? [7:28:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 42670; scene = ['3e9c464ae2cc2a7a', 'b0c2afdd9e0f5667', 'b2662b087527284b', '398c63a647384bbd', 'acee622595c1367c', '97ce213c42aafa55', '5c2bcdae45b3b7c2', '884815c3ec6119e5', 'b0056fe2ed291425', '03a8cb9065084812', '9db5d6f52db8ebca', '7bc72ab83e1ddcce', '16b14534c3561c6a', '77b9d40d5d9278bd', 'cb39619d392401f0', 'd67e551cfc3f6a4a']; context = [[32, 85], [47, 111], [50, 97], [196, 274], [6, 73], [4, 79], [22, 91], [0, 46], [2, 78], [0, 45], [15, 82], [7, 53], [32, 83], [7, 84], [27, 98], [2, 47]]; loss = 0.014434 low_pass_filter = 0.300
+Epoch 0: | | 42679/? [7:28:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 42680; scene = ['bf5769b070b5af9f', '8ea8e261b1221b3e', 'e4532151b691dd37', '5c94f503e4e84163', 'f9439e8dc272843e', 'a17898923fa069b5', '24d0c50b0d08445f', '905511ad5e23a6e5', '49ae06a8c3eecdb6', 'e865d846466cb59d', '5502065c96e0dcb5', 'e1c60a5e0b091d60', '5ef111428d2f1048', '2193bc2693b02611', '11e864e46aabc988', 'efcab7b049eeac51']; context = [[15, 61], [22, 87], [29, 77], [70, 133], [44, 99], [11, 67], [122, 169], [6, 65], [49, 136], [41, 92], [181, 238], [115, 175], [132, 218], [5, 66], [6, 89], [145, 197]]; loss = 0.015858 low_pass_filter = 0.300
+Epoch 0: | | 42689/? [7:28:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 42690; scene = ['eb07f2be65cd3ef9', '51a5009f56cb9674', '144913b1e5d43257', '8e3dfce25f2d216a', 'a5a8e6a3d35a22c8', 'fbc3668b9e73950a', 'df662bb3e944a8db', 'bbcc18ce68c1bcf2', '513aa200a2b07a1e', '190dc10200a1049e', 'a640a55439a43108', '789a1573a8a7f5a8', '4198c7129a726cf5', '2da17464ef895b63', 'd1ebaa99e640cd7d', '077a814db8619777']; context = [[1, 47], [80, 159], [154, 229], [143, 225], [42, 105], [6, 55], [2, 48], [49, 121], [16, 65], [54, 113], [30, 91], [64, 141], [37, 117], [1, 59], [19, 87], [23, 105]]; loss = 0.012639 low_pass_filter = 0.300
+Epoch 0: | | 42699/? [7:28:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 42700; scene = ['2626cf74249a4b3c', '4ed61c584ce1d04b', 'dab34da268b7e4f8', '156d109af18219d0', '1e004033e313ba51', 'af3fb667751c8a50', '232747a643935bfe', 'f0fb5e75d231dfa3', 'ba25f6ac735ecf80', 'd4c48c5b4e0678db', 'c200cf8e0f790a5b', 'f5fa80e828316946', '246d7efd306d3317', '44f6338ec1854b9d', '91e36f2d0b1180b2', '3f7b5149e2a37b96']; context = [[7, 57], [38, 116], [9, 57], [116, 188], [162, 244], [1, 47], [15, 89], [27, 85], [47, 107], [13, 92], [8, 86], [1, 64], [51, 141], [199, 258], [2, 66], [0, 47]]; loss = 0.012200 low_pass_filter = 0.300
+Epoch 0: | | 42709/? [7:28:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 42710; scene = ['0cbef6047abffe2d', '205b22cbaf84bf3a', '4e67afbcae5c4887', '7b47efdd91a80bdd', '6713a81ed431d91d', 'a9070de00e86feea', 'da127d5d82256afd', 'db062134f9dec5f1', '5d244ada6c250442', 'd34fb0e92018e2a2', '58aec0707d094569', '7db4ed902d003a63', 'a025eda8d656783b', 'c37054cf8ffe745a', 'db25ce184054217a', 'c8c116c28ca108b0']; context = [[5, 65], [16, 69], [17, 81], [39, 85], [106, 151], [22, 100], [4, 78], [11, 99], [0, 62], [3, 55], [31, 95], [0, 51], [33, 90], [119, 180], [45, 99], [183, 242]]; loss = 0.012851 low_pass_filter = 0.300
+Epoch 0: | | 42719/? [7:28:35<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 42720; scene = ['87e1164e050e9686', 'ed96b438bf4f41bc', '835c947a070ff657', '71edec55f938858e', '640e53b0da14830d', '166d39209d7cc4c3', '97efceb3be1bd8df', '35e7870c4f60c02e', 'f39e7fd0e8f5f7bb', '9a198a789f8681ac', '4648b54a491a37e2', '6d9e7ac4f5113cbc', 'e0cc4b7664a79c4d', '8c6f0f3ea9dc7bee', '6f2e1d1066f7d871', 'bc9172aa1955898e']; context = [[65, 142], [3, 53], [0, 85], [21, 83], [28, 117], [168, 235], [65, 120], [13, 74], [66, 129], [66, 148], [140, 223], [10, 55], [106, 162], [54, 124], [5, 76], [71, 116]]; loss = 0.013952 low_pass_filter = 0.300
+Epoch 0: | | 42729/? [7:28:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 42730; scene = ['abc3c3206c8c7b2c', '8e9eefb24ef9c998', '02addeae200020a6', 'c96d2c070c7d86bb', '6d586fbe38202ac3', '64323d50bf5acd7d', 'ba148feb4d862202', 'c74720bd3ac3e60d', 'fa4960e56f7c7890', '34fbec28ed47b45e', '33feca34240ff3c2', 'adaaca6a1f279f08', '509c0508abb2ba89', 'abb870c463ad6694', '8aaf364e9e56819e', 'e1e9e69901a40e12']; context = [[4, 76], [4, 80], [100, 148], [0, 66], [99, 164], [0, 75], [7, 71], [2, 48], [43, 125], [0, 45], [32, 88], [43, 106], [151, 197], [4, 63], [10, 74], [73, 143]]; loss = 0.013186 low_pass_filter = 0.300
+Epoch 0: | | 42739/? [7:28:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 42740; scene = ['c57be4a21edb3725', '55cb413872623381', '03802d32fbbf0c9b', 'd1c64e750c7577d8', '2b36862276366c49', '09957592fc85258e', 'b2f641567a21c670', 'fb58d803ff8567b2', '08ba91736b9b2a17', 'b60bd0b7724eef6c', '1fb6158631b058b0', '879236637468c58e', 'd08a17e8ed283bf1', 'ff68f1639ba712aa', 'f3663bd0444d3f5e', '36759e691725ce9c']; context = [[4, 77], [17, 71], [2, 52], [44, 99], [10, 55], [40, 114], [2, 82], [39, 87], [104, 187], [0, 50], [4, 74], [15, 102], [23, 100], [76, 127], [22, 74], [39, 89]]; loss = 0.017811 low_pass_filter = 0.300
+Epoch 0: | | 42749/? [7:28:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 42750; scene = ['8c906cb39d5fdadd', 'f950291d5785c0c8', 'c6aa94e1b4c7afdc', 'ad724e11e9933d4d', '6430a8f5649a5764', '74cf3746f74cdb97', '83eb0c8730452588', 'd27b6a8554bf761b', '2eb0e6f1493eeddf', 'bc6410ac3b5cdb6e', 'e68db198a6e60c30', 'cd409943c4829dc4', '15bedb9a63776fa0', '3943cd45cf5cd16f', 'c109be0c942fae2f', '296f422463418e87']; context = [[212, 267], [108, 186], [16, 62], [0, 89], [2, 61], [20, 73], [56, 104], [12, 71], [14, 100], [124, 176], [49, 116], [3, 58], [9, 80], [14, 74], [1, 87], [73, 148]]; loss = 0.016462 low_pass_filter = 0.300
+Epoch 0: | | 42759/? [7:29:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 42760; scene = ['78e2ec35addd48ee', '0fe7bb34bc1ce614', '9e3c6f6868453f09', 'af96623802f4dddb', 'c7f3ba9289f424d4', '1d4f8bd46c960db8', '251522536184bbb1', 'f765a2b14a33fffe', '4085aff1753b53ac', '0849a021a3a51cb5', '5129718570b4de96', 'fc91f4cded72d92e', '3bb54d65291fd396', '3c5b457b136248b5', '9d0d0150c1251962', 'fbd6b180ef2b245a']; context = [[1, 47], [24, 75], [22, 99], [125, 210], [2, 85], [12, 87], [11, 81], [17, 103], [25, 80], [31, 81], [111, 162], [79, 132], [41, 123], [9, 54], [2, 73], [53, 100]]; loss = 0.013074 low_pass_filter = 0.300
+Epoch 0: | | 42769/? [7:29:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 42770; scene = ['a3a8f3fc21c11cad', '5116921541fb43df', '177e02752605973a', 'f9792d012ef2da5f', 'f450f62a359bd524', 'f98d30de8dd12bdf', '863cd9e3c3374c17', '0356f20494f9dc73', '49a7ca8ab07f5959', '753ad3e1d6a005bc', 'e5c25f8e979ee3f2', '5d078b0df0aba401', 'f8d97e84b057c5fa', 'c34a80c8baee9a1b', '05d6f85d64a12629', '33f73227a2a67557']; context = [[149, 203], [5, 86], [41, 103], [117, 188], [13, 97], [4, 52], [93, 156], [186, 236], [181, 231], [93, 178], [61, 109], [43, 103], [64, 116], [8, 84], [2, 55], [3, 66]]; loss = 0.015441 low_pass_filter = 0.300
+Epoch 0: | | 42779/? [7:29:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 42780; scene = ['e984993558178156', '5754a6087a6827cc', '265de24211485dd4', '4456e2a8646a7cd9', 'fdc8cd7407f92557', '30a3b2a9e9e726e9', '687a0929cc80074b', '4c36f68040fa30d3', 'e5eb61f80568241d', '3bdda2958365b0c8', 'c50dd0e181c43194', '1cc6d1ea2fce7d69', 'a38d3d9b759c3d1f', 'b74d806514206986', '7cf98ad3bef95654', 'eef83fe97cf15f7f']; context = [[6, 77], [21, 98], [0, 80], [12, 62], [16, 96], [29, 96], [65, 115], [2, 65], [4, 79], [83, 131], [104, 164], [71, 118], [85, 171], [28, 77], [6, 51], [18, 82]]; loss = 0.018143 low_pass_filter = 0.300
+Epoch 0: | | 42789/? [7:29:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 42790; scene = ['eedc455e3dcad2e8', '4d73afcba9cefc99', '062fa8871944a658', '38366abfb0f92890', '0bd7d1356643cb9e', 'b97d8378949ed0b7', '22891d0e2f68ebe8', '5f0e3e7832267bfc', '8fd5b30160a4c68b', '146059828c93f914', 'eb4bb95dff750598', '60fa6aeba251417e', '17dd546c069a1904', '583652ed8fa99eb3', '7930ba9cb62f63f9', '9fa4e4dcbf356d32']; context = [[2, 72], [14, 101], [2, 53], [7, 79], [180, 244], [10, 70], [10, 64], [32, 86], [130, 211], [8, 94], [16, 83], [171, 221], [86, 166], [33, 91], [54, 106], [2, 75]]; loss = 0.014981 low_pass_filter = 0.300
+Epoch 0: | | 42799/? [7:29:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 42800; scene = ['175b05b368c133e7', 'ef706ea61b3c2e63', '874e813188a281e4', '35fe94a6f4b752b3', '29ad06f3162b2bc1', 'e1e06af93de0e70f', 'd70552f02e4c18ee', '4905dd1533b8ffb2', '460d2009e8c97d4e', '73c0efa320a47a6e', '62bd65e4def165cc', 'b7e0b9bdf95327a9', '6b39ed64ff475531', 'bf9ec375e188cf4c', 'a9d8fed6650ea907', '17d5930ca3f12e46']; context = [[54, 139], [25, 102], [26, 88], [7, 72], [17, 96], [0, 64], [13, 61], [35, 103], [97, 147], [24, 113], [6, 54], [16, 80], [15, 74], [9, 91], [3, 91], [94, 149]]; loss = 0.013727 low_pass_filter = 0.300
+Epoch 0: | | 42809/? [7:29:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 42810; scene = ['aa6d444d58a5e7e3', 'dd24892bfbe506fb', '346f36ef9992c30c', 'bfa48646aea12d4c', 'd0342267434bde9b', '6ac77903c85a136d', 'cac84a71e48219aa', '4d47923e78e568e4', '1d93a3fb8b07028b', 'ab8e85f5557ce4a3', 'c6f1488495990249', 'fc2059a30fa154e4', '5dbe8c5a7cd369f3', 'a59032b47f1dfff0', '886a2cd1ef72b491', 'bfef36794fa48ba7']; context = [[2, 56], [60, 124], [29, 118], [28, 73], [42, 100], [1, 79], [75, 162], [3, 72], [2, 89], [1, 57], [63, 130], [12, 57], [2, 88], [2, 77], [105, 194], [75, 154]]; loss = 0.017107 low_pass_filter = 0.300
+Epoch 0: | | 42819/? [7:29:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 42820; scene = ['b10bac1cbfbcddde', 'a54adeb03c0e5f48', 'a7183ba62f34173a', 'fe469a7381a1276a', '402cbef11275313f', '7659d0bf3dee2d66', '194ab22b4bcef56d', '03a510451bcafdcb', 'cd758c00644bcbd7', '4c15cd3549a1b7d7', '3f1bb453d4373915', '78d70ed425551787', '6be72e2c49d656bd', '999c1403cf825d60', '6ba37991f5126cb7', '1b2318aaef50a254']; context = [[7, 76], [13, 101], [8, 56], [3, 72], [0, 67], [0, 50], [124, 211], [3, 89], [3, 90], [9, 56], [0, 88], [8, 64], [7, 77], [111, 201], [10, 78], [1, 52]]; loss = 0.014461 low_pass_filter = 0.300
+Epoch 0: | | 42829/? [7:29:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 42830; scene = ['a31eadf1684fcffe', '17bd051dfba24889', 'cdf469e202a5472a', '6aa0e273d8c41852', '188c4d1c3452fd73', '622dafbeb856b952', 'a9ef4a24b4d444d9', 'c60321ebc88ec957', '9beec741422ba809', '470ab1ead567352a', 'f992071564cfa5d7', '0d7e98c8cb6b0f5e', '1e34f5b87ccb156f', '6614f415f227fb91', '9b6c1767f7f1e398', 'f2851940fc2d313a']; context = [[111, 189], [40, 125], [2, 51], [100, 148], [92, 151], [11, 68], [6, 75], [119, 168], [18, 64], [9, 73], [9, 57], [3, 74], [97, 182], [49, 111], [15, 78], [16, 85]]; loss = 0.013724 low_pass_filter = 0.300
+Epoch 0: | | 42839/? [7:29:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 42840; scene = ['dee32526a5ea279e', '0fc1880ce9953772', '45f8438cecfb6cae', 'c18421163ec408e0', 'aacdd9a43cf9ccb3', '404096eeef719e20', 'b4a9c4f771a646b4', '4232947cf5143074', '1b59a7afc6aef520', 'd4b86af5ba8abf8f', 'f360f5a70d1f77bf', 'a318778c76e7390d', '03e2443677ef9f25', '07cc0d72ad68bfa3', 'e046f31182aa390a', '88a1df865ba73651']; context = [[2, 61], [3, 93], [54, 103], [0, 77], [9, 72], [20, 80], [2, 65], [49, 118], [2, 47], [65, 140], [50, 102], [103, 155], [6, 68], [14, 63], [0, 45], [14, 61]]; loss = 0.015894 low_pass_filter = 0.300
+Epoch 0: | | 42849/? [7:29:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 42850; scene = ['e75e5a54d2b27d9d', '4e03afc8fd599673', '9ab8790f640525c5', '8024a27b3138f205', 'f091f8a44150921f', 'fa6254c2b923ec34', 'd75878b63705d58f', 'a53e86a301e2d2b9', '739668a2e4736e71', '611e7445a2567f6c', '3027e1f17f7891c8', '184f88882b243fb6', '430406c1e2815e24', '0b2c6745daa6b386', '27727baa0d2bab84', '5644c34d7df02333']; context = [[11, 60], [41, 130], [15, 80], [6, 81], [61, 138], [9, 95], [52, 106], [173, 220], [30, 102], [174, 256], [71, 151], [55, 112], [202, 256], [51, 133], [2, 48], [6, 77]]; loss = 0.013116 low_pass_filter = 0.300
+Epoch 0: | | 42859/? [7:30:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 42860; scene = ['9e511f66516b17db', '7d3be97db6025753', 'a65c18f99fcf5f82', 'fd2442595faa2d01', '176290ff95c16e3f', '800338faaca65953', '07e15647254b6cab', 'fd5aa11dc66a75c3', 'efb590fd4b4eb0c5', '0edc9f32da048ddf', '05846e2bbc1ea5e0', 'b4bbab891a72ff1f', '390c8df752d7b22e', '756790007006f209', '60f92bcb07109c4a', '55671e2db4657b00']; context = [[28, 94], [8, 63], [1, 55], [6, 64], [2, 64], [136, 203], [0, 51], [66, 125], [4, 76], [117, 190], [30, 104], [56, 113], [60, 144], [0, 49], [8, 60], [9, 97]]; loss = 0.016563 low_pass_filter = 0.300
+Epoch 0: | | 42869/? [7:30:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 42870; scene = ['3bd54267eb74c3f1', 'b024b50e436ede79', '16382971f77e771d', '27720c60f338c25f', '63623bf352725322', '98afc5084cb45db7', '58bec688c826e172', '01aac2aba4c7acba', '8cc26f11d5ea77cb', 'e5d0517dd6053a89', '5a921708be7d49db', 'b9dc1368f58b2b92', '142cfddce52374de', '08eb65d6312e0e58', '00a61821997f3fac', '4d6a7d4f8fee4a70']; context = [[123, 171], [1, 46], [10, 83], [50, 125], [0, 49], [25, 110], [14, 70], [3, 87], [33, 89], [20, 78], [9, 63], [27, 99], [40, 103], [13, 81], [14, 81], [4, 63]]; loss = 0.013613 low_pass_filter = 0.300
+Epoch 0: | | 42879/? [7:30:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 42880; scene = ['d123eeb2049f770d', 'f03b097882e328ca', '19283c18e8d4c093', 'ba9bac4198a51d76', 'badbbc71ceac3641', '694f7574abd152a9', '0ccabf0584abab5e', '8f51811a81f8b55f', 'b13bc8cfc7773063', '2b9b02cf71e77d10', 'fb0aa00f96d016fb', 'e29272430368cbe4', '5d714a3505cbc8f8', '0791565c804cb1b6', '80d7984ab95782a1', 'e85265a8d92fd967']; context = [[37, 109], [6, 52], [6, 70], [42, 111], [66, 118], [2, 86], [5, 76], [8, 61], [115, 196], [0, 85], [0, 68], [9, 55], [150, 234], [31, 103], [71, 149], [0, 45]]; loss = 0.014501 low_pass_filter = 0.300
+Epoch 0: | | 42889/? [7:30:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 42890; scene = ['c44553e290135c7e', '627b6d61bcead351', 'd18b58ec824238ed', '09a35b357eb6b2e1', '792db49cfc45f8ac', '62d6c63f8dce02c9', '19205c6351b6cd4a', '77634e8803b63acf', '5714c004758116a1', 'ca2de62918f11871', '314409cd008aa91c', '661a856ce9c10e56', '8b657567165233f3', '0ad2c2fd63c778e9', 'e68b41f0c16dc595', '8b1f279df13e9822']; context = [[36, 97], [8, 69], [68, 129], [144, 202], [186, 232], [200, 274], [124, 193], [10, 67], [4, 55], [11, 73], [10, 66], [0, 65], [52, 98], [114, 194], [20, 65], [69, 141]]; loss = 0.014271 low_pass_filter = 0.300
+Epoch 0: | | 42899/? [7:30:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 42900; scene = ['d3dc24cd90a79d97', 'fb330853f70eb73d', 'c45d298bb3d0da30', 'b7906279b66195ae', 'a584b2e57a8134bc', 'da4a302718afc212', 'dc4ec3022ce21d0e', '4ac2c53d8a94fc4e', '962ca8cb6c781141', '5c04f350d4f1ce76', '89537268739ba071', 'c7e626a8c3d071e2', 'a102f80bd807b881', '41dd55f0272aba33', 'bbd13ab6dbffa8e3', 'da274c0e6e23f8ea']; context = [[1, 48], [1, 83], [14, 72], [43, 91], [7, 93], [114, 202], [7, 57], [0, 70], [8, 57], [33, 92], [50, 107], [151, 196], [26, 98], [12, 62], [2, 75], [3, 50]]; loss = 0.014519 low_pass_filter = 0.300
+Epoch 0: | | 42909/? [7:30:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 42910; scene = ['d5faf108392dbf89', 'f917dd00fcdf0961', '6c16eea5b4727239', '8dd0ddc3a4ab85b3', '00b180c077d3e3d4', 'ca982d77bc953b5a', '3a4c5992f0c9ccac', '69ff3da8fa31673e', '1745b07cd7862df1', '30bc74935996477b', '3d6544d711c2db4c', '95e435653707db95', 'f21dea2e3ed6d91c', '86ade92fdd01c027', '07f649f009a0ad83', '528b96fa2edce81a']; context = [[31, 105], [3, 56], [116, 195], [7, 61], [4, 87], [73, 142], [36, 112], [25, 102], [5, 62], [48, 137], [89, 142], [13, 71], [63, 110], [14, 61], [72, 131], [4, 76]]; loss = 0.012948 low_pass_filter = 0.300
+Epoch 0: | | 42919/? [7:30:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 42920; scene = ['e86e6458a4b77118', '6e31b2bf905c639c', 'c13ce72bbc5a3abd', '622a80e8c63bea26', 'f82afa5cb8662b4f', '2e36d73dd9237db0', 'e9247558f0be9996', '37ce47d9ebfb29a9', '17c89f652c827289', '87d10b8ca27aeb0d', '9600db654672c52b', '3d229b1736c3da03', '9ec82e69c998338c', 'e8c869d04fddabca', '643619ee12bd5789', '4258414b5b835ff0']; context = [[131, 216], [34, 120], [2, 68], [62, 141], [0, 89], [55, 142], [96, 156], [3, 79], [121, 171], [0, 71], [160, 213], [11, 73], [14, 66], [21, 99], [2, 62], [40, 95]]; loss = 0.014535 low_pass_filter = 0.300
+Epoch 0: | | 42929/? [7:30:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 42930; scene = ['e38f15b65f706f6d', '5cc2797ec4618a95', 'cf5a161998d0582a', 'fbfa711056048092', '25ac9afd10569fe4', '2c6bcba12c9034f6', 'ca1d592f88d47c36', '2521e8a729b9a28c', '983fe650a925ec1b', 'a5e4dcdb5acba475', 'd13522abd38eddfe', '4d27fb96530fe02b', 'df9ba36fbe753843', '4b5883872c9b860c', 'b07961433f13f70e', 'd3136cedcdc0fc89']; context = [[155, 235], [5, 89], [9, 91], [18, 85], [30, 94], [11, 89], [50, 138], [66, 130], [9, 92], [1, 54], [151, 214], [7, 75], [0, 73], [26, 90], [47, 94], [6, 52]]; loss = 0.014537 low_pass_filter = 0.300
+Epoch 0: | | 42939/? [7:30:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 42940; scene = ['5893ecb5ca418955', 'd26ab9c62be59001', '3151e48717cc2a77', '6dee6f17569583fc', '4739fc5ed7553f10', '1ad7adae6a042ce1', '2142d74b2a19f6a6', '3233932b0505b21d', '84527525b4595fb5', 'f758f5285c4469d3', '95c2ed222a35164a', 'dd37bc253584d2c9', '1f3df1c74f58790e', 'c6a54abbbfcc80c9', 'a62a2b5b73c17bbd', '1ba4449084852089']; context = [[3, 68], [25, 82], [11, 69], [13, 93], [7, 65], [9, 66], [26, 92], [6, 90], [4, 86], [35, 94], [95, 168], [13, 91], [8, 82], [29, 80], [5, 73], [154, 200]]; loss = 0.012345 low_pass_filter = 0.300
+Epoch 0: | | 42949/? [7:31:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 42950; scene = ['8722a564706e204b', '71911b4af12b9a16', 'fee2852411318e54', 'e63caff82406317d', '08f55e581d3ff038', '4b641eaaec862d77', 'f585524ad6786b54', 'bb871f57112086a2', 'e734e244799d0bfd', 'af478ab012dfb92e', '70a343bffc90f4aa', '7898a828b7203ca4', 'cb734fdc69e9900e', 'c31cf070ae1a75d4', '89e3bea1f3d2137a', '6814d469f5cec50d']; context = [[58, 144], [19, 91], [3, 54], [15, 61], [30, 118], [6, 92], [9, 90], [60, 145], [120, 181], [31, 105], [0, 72], [215, 273], [44, 118], [32, 113], [87, 173], [15, 74]]; loss = 0.015827 low_pass_filter = 0.300
+Epoch 0: | | 42959/? [7:31:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 42960; scene = ['ee32367f85a7cb25', 'f610af52915248b8', 'e371f175a43e98c5', '09ec4e6f76a8e0eb', '396f58d2cb5c5ca5', '76371ad725a760e5', '9adcb516e05d241f', 'b2614462000b188a', 'c988dd7d71e48bc7', '13aacaa9bfaff3f1', '5bb27c0e0a89bdf3', 'bba455103c4a3517', 'b7284e30a1a776a4', '3b77d03f923fda5b', '78404b18ba433cba', '351acba755ebeddb']; context = [[60, 142], [27, 73], [26, 71], [24, 110], [52, 102], [100, 161], [14, 67], [18, 66], [1, 48], [106, 178], [3, 70], [14, 94], [9, 63], [1, 88], [51, 113], [34, 107]]; loss = 0.015445 low_pass_filter = 0.300
+Epoch 0: | | 42969/? [7:31:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 42970; scene = ['a1ab776dff376ff7', '41cfed19471833e2', 'ec3c3a41bfd736a3', '3d342a39f1e1eb91', '75d1f641bdddcbb7', 'd2257433ed472be2', '58cb8118a80c0baf', '9af4042d9c4882ba', '63824989c3f412af', 'd6d813002524c1de', '6f840684cb842224', '24ece59adbca756a', '157b25ea83cbc4d2', 'b3df634dfbb7dbad', 'f97e8cce9ac5da7a', '1f9aacec275801c6']; context = [[106, 187], [65, 152], [4, 63], [10, 58], [12, 57], [39, 125], [34, 124], [86, 168], [97, 164], [32, 77], [96, 151], [2, 48], [188, 236], [1, 91], [103, 179], [7, 59]]; loss = 0.014555 low_pass_filter = 0.300
+Epoch 0: | | 42979/? [7:31:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 42980; scene = ['e1049fac3065b063', 'f83a72a27b18dc03', 'e2eafa0d01a6337f', '0a6bb5a921dbfc12', 'b932fc784f7f24d8', '8326d223160e7289', '42ea0dcb2096483b', '5838c99eb85b98be', '3d0bbce736659b1e', '3338a85eb3222a45', 'e3b4c785859b3d28', '61f94b25b08466cb', '03a6e0bb18677013', '4f9ef77133c82bb2', '32ca11ef483a2a78', '6d31828d93f75cbf']; context = [[16, 93], [35, 119], [39, 104], [47, 118], [2, 74], [73, 163], [0, 85], [82, 148], [175, 224], [3, 62], [1, 46], [88, 154], [115, 192], [15, 77], [70, 126], [13, 76]]; loss = 0.014657 low_pass_filter = 0.300
+Epoch 0: | | 42989/? [7:31:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 42990; scene = ['196d1f794ca7fcda', 'e429ef8c927402f3', 'e163a2ae0b4a58fa', '5bfee65d75f600d2', '425d2142b08997bc', '9b083e044fadb8bf', 'bf935be6b886ef6f', 'e25a098ead78527d', '299e1a5a31cf0a2e', 'ad69885e675d996d', '4206633a0b8106f4', '58458f2cf9bba722', '7bee29375ee511d9', 'b267e2cfc2c3a52b', 'fbe03b854c322efb', 'e0da837e447b83f9']; context = [[4, 50], [86, 132], [9, 91], [21, 99], [3, 74], [0, 45], [24, 88], [40, 111], [68, 116], [22, 82], [66, 144], [12, 64], [6, 71], [147, 228], [51, 122], [37, 112]]; loss = 0.014824 low_pass_filter = 0.300
+Epoch 0: | | 42999/? [7:31:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 43000; scene = ['8ff7592195f6c8fb', '6653743843f0d459', '3c76d8218a2e0039', '6b67868d28e30206', '557c09819530a811', '488750a485d29305', 'ef3f7737f773cc67', '0e571bee404ebce8', '91011e70f2ace193', 'a856be05423bf9f5', 'b5c25010251c295a', '8de62782d5c7d3b0', '8046e6b7cdb58228', 'fa86e741af917c3a', 'fc71aaaea959df78', 'c2c00e8004756420']; context = [[149, 217], [4, 75], [1, 49], [2, 92], [169, 248], [79, 167], [7, 66], [47, 94], [35, 81], [16, 84], [5, 68], [0, 52], [0, 81], [0, 68], [41, 90], [1, 61]]; loss = 0.015775 low_pass_filter = 0.300
+Epoch 0: | | 43000/? [7:31:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0validation step 43000; scene = ['0d76da0fcac26af8']; context = [[55, 108]]
+Epoch 0: | | 43009/? [7:31:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 43010; scene = ['0de4e1d6b188215d', 'f69e99e1af925636', '1b5aebb31dd24255', 'e90aaffa44f24d62', '592d5c7edc178f8d', '912ea2f1b054ba18', '14d9c232967d7ea5', 'ff7681d30920cb92', 'e0d3ae17c83760fc', '7f8c7f2304741f81', 'e72554926e7e9142', 'd1e50d929cd1012c', 'cdd143c10eabedfa', '9da451a141c4e753', '21cdb3a2a0cc2afc', '135d8880ef7d61e1']; context = [[0, 73], [17, 62], [2, 67], [147, 212], [58, 137], [146, 227], [76, 121], [165, 237], [42, 130], [50, 123], [5, 58], [58, 126], [0, 82], [127, 181], [1, 52], [105, 166]]; loss = 0.012060 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 43019/? [7:31:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 43020; scene = ['3f0671b3aab75af7', '8a44e9b2b9fa4231', '197ff5c7287f0d9b', '2bf741a222d8d904', '38f8dbde5252ee9d', '6096edcb027f9438', 'baf899bcd7c0e9ad', 'faf27a24003c7212', 'bf059ef6cf1dc8ea', '983e973f6b717e2b', '16b13c6c0948d0bc', '897ac50a2586050d', '8a797b1368e908b3', '2b48002337f3c72f', '729746e12579bb8e', 'd7827be3525da46e']; context = [[11, 63], [6, 53], [28, 103], [1, 65], [8, 94], [39, 94], [49, 97], [26, 74], [25, 85], [125, 186], [14, 102], [14, 81], [13, 88], [176, 233], [2, 72], [99, 149]]; loss = 0.014264 low_pass_filter = 0.300
+Epoch 0: | | 43029/? [7:31:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 43030; scene = ['14b3067edde30f05', 'aba410d7c6252b5d', 'afb87f77f9bef824', '54dcba84c9970357', 'de03eb2fb73856a2', '52a42bfbe8f965b5', '22d1422ff4247b34', '875fb09a10109ce7', '701e1e67ce9a49ec', 'd6ae7df1d2f33c9e', '2cabedba16dcdc84', 'a93cf5afa5172f2d', '3249184c77ec280c', '8ac9c6987f4e300c', 'dcd5b87a61298893', 'ca11186f72f84306']; context = [[18, 79], [2, 58], [0, 75], [5, 63], [4, 63], [33, 103], [52, 124], [48, 114], [26, 74], [26, 106], [63, 129], [35, 105], [36, 118], [26, 80], [159, 228], [0, 75]]; loss = 0.011555 low_pass_filter = 0.300
+Epoch 0: | | 43039/? [7:32:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 43040; scene = ['ed0e0e3d74ae9bb2', '75c5588a09ef70e6', 'f78cf47fe70673cf', 'e33681181c5c641a', '74411b139d83a461', '34dd716445bd5045', '7b01d37a5700e0c0', 'a28eb5a631c1c957', 'cb9342e0228169dc', '0940e8ba983fe8d0', '53710413768f125c', 'd69c456a202cda8d', '06fb93939066eafb', '2813a03151af5522', 'fbef1008fe8b2b9f', '370dedd2f7e0c2e8']; context = [[0, 83], [4, 54], [55, 126], [2, 74], [143, 229], [57, 125], [160, 223], [79, 147], [26, 102], [15, 61], [0, 47], [66, 137], [96, 145], [126, 207], [41, 89], [61, 136]]; loss = 0.015747 low_pass_filter = 0.300
+Epoch 0: | | 43049/? [7:32:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 43050; scene = ['c8e936ea5ad9e902', '8552b697412b1e72', 'b31239014a7a8acd', 'a6ce8807be0bf3f2', '7c1c4dfede486a30', '894324a48983f33d', 'f19fa4e6eb72c01d', 'f7bef32e09ab061e', 'ed67a97c26a61b8c', '04035ad3c79de71f', 'daf3b5445dda23fd', '51c1d0c26b7307b9', 'b3aa335a5095564b', 'd7d8e8bc060b6ce1', 'cc27e607dbfdac8f', '55ff5f5024b9f532']; context = [[72, 130], [64, 117], [11, 64], [1, 51], [12, 64], [128, 199], [8, 95], [11, 87], [1, 47], [12, 82], [2, 49], [4, 71], [3, 61], [5, 52], [14, 91], [28, 84]]; loss = 0.013812 low_pass_filter = 0.300
+Epoch 0: | | 43059/? [7:32:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 43060; scene = ['1ddfbeb2b016dfd9', '87b388b4e4a77b3d', 'f0af9a1645fffb8e', '43fcf5cea7f176bb', '2d350d7b093abcff', 'c7b8de10ce8003bb', '871cf978eabbd334', '75933e11d3115802', 'b7cee0f05d6e2d43', 'ef58dba812b12ef0', 'd24a8a424be5ee95', '09ca33ec20aab149', 'c40912fdeb819658', '0cf7ca36e28ce263', 'd4f5fdc1d8338a47', '1fb87f49a970a14d']; context = [[179, 254], [39, 125], [71, 122], [103, 180], [113, 160], [57, 139], [0, 86], [19, 75], [0, 46], [131, 211], [48, 95], [61, 143], [11, 101], [3, 68], [26, 79], [14, 84]]; loss = 0.015011 low_pass_filter = 0.300
+Epoch 0: | | 43069/? [7:32:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 43070; scene = ['28f196b2974e01fb', 'b423d351d9f5120b', '1edf29242e8ded7b', '92947c334b47ecb3', '27f9efd9084e01c2', '55ea126ab6fb29ff', '81d8259daac951d0', 'cfed67976b653755', 'fc50b744d90c9b91', '4f0e7c5b39da1ff1', 'ec15da6be3f66c37', '7bc459cf2cd73e6a', '29a5e76da0fe508e', 'fb2b05793115d09f', '2df3d9757cc88582', 'c9cc84f82b5182d9']; context = [[79, 168], [23, 87], [119, 166], [23, 90], [24, 112], [157, 208], [5, 54], [60, 107], [33, 123], [50, 112], [56, 123], [1, 60], [1, 48], [3, 90], [0, 45], [104, 189]]; loss = 0.015763 low_pass_filter = 0.300
+Epoch 0: | | 43079/? [7:32:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 43080; scene = ['2b634ad643be3bb4', 'f00b015a283a4923', '173c3c8521ffe556', '83d103672889a1b3', 'b45aaf0961467ac7', '9958041bb8a26eb4', '2ddb67832c160567', '27027861652c32c5', 'c7ee29701719ff1a', '1516a2cce3cc86ff', '4f7df7eadd38a5e5', 'f19f3a8c609a931e', '050b389ce2fcca03', '82df5c0953501417', '90eab4f32afc0755', '662a9e07c239751f']; context = [[106, 196], [101, 158], [28, 78], [101, 161], [2, 67], [53, 137], [95, 158], [19, 66], [14, 89], [9, 68], [47, 95], [3, 85], [174, 241], [18, 87], [53, 112], [49, 105]]; loss = 0.012252 low_pass_filter = 0.300
+Epoch 0: | | 43089/? [7:32:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.10, train/active_min_children_step=1.0train step 43090; scene = ['c99ab9b0911f0d72', '46b932fc6f061d63', 'd05469e324c0bc42', '4c167e89c379faed', '0f3d070f4b358f54', '3fec42c6570a70d0', '7788c075e21e862d', '4f768e705a9c812b', 'ef788a2216895f19', '1fef55c7753f1cce', '437b5b7a2fe26b67', '0b95756523e57ef9', '5c88ff05f51279a4', '893335afc78c8685', '43e6289d0f0921a5', '918bd53dd8ca7271']; context = [[55, 143], [119, 195], [25, 89], [65, 127], [13, 62], [188, 258], [10, 65], [5, 61], [18, 71], [15, 65], [33, 121], [11, 66], [46, 99], [40, 90], [38, 88], [6, 59]]; loss = 0.016365 low_pass_filter = 0.300
+Epoch 0: | | 43099/? [7:32:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 43100; scene = ['e7aa969073578104', '38d2ac7c43dd0eb8', '3fb6c568d960f072', '50b8bf3b72f8f9f9', '5cb6a4466d5f4f53', 'eb9a6eb40e64e0c2', '94a0618ce03ee661', '564ea16244f45dd8', 'f09b84993341b1bf', '61fb7783fff731c0', 'e790b5f2308d5617', '5689c9983b642392', 'fbd2c20f5033d7d8', '8420ff3c64b30c99', '542b331fc2699bc8', '75b93ae19dd971a4']; context = [[118, 178], [60, 143], [0, 51], [159, 247], [32, 82], [9, 59], [10, 59], [96, 155], [6, 95], [0, 62], [6, 78], [83, 172], [13, 77], [20, 68], [38, 83], [8, 61]]; loss = 0.015078 low_pass_filter = 0.300
+Epoch 0: | | 43109/? [7:32:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 43110; scene = ['9810e48786be9e3d', '496e2618d0fb9556', '6b618bf721772750', 'a6161601e3a76aa9', 'eafd93b5178d6b97', '5d14e2fa2974d6df', '8213e7f3f5d265bc', 'caee640343f2dc58', '53d5559c250a0f44', 'cc0548ecda611e25', '71f47ad340f36a00', '1b4bf9a4a458e0df', 'b9e8ae6d34748bc1', 'ef98b97970d1926d', 'fd46ddb80c816b61', '6e238645b2a85804']; context = [[121, 190], [3, 82], [101, 153], [35, 110], [2, 52], [5, 79], [45, 112], [26, 89], [81, 145], [2, 48], [11, 72], [79, 140], [33, 116], [38, 105], [190, 238], [196, 271]]; loss = 0.020907 low_pass_filter = 0.300
+Epoch 0: | | 43119/? [7:32:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 43120; scene = ['55a6141816161f8f', 'b7313e349b510acb', 'c08928bdf05b26e9', '80b6fa3cb7a7a6d0', '78951deaf8c67b08', '065df4f6d6ac3442', '4753c4d248eb1910', '553ca05b958288cb', 'c47ec37270ca24a6', '14fcf0d7e9b3e923', '412769464b435b41', '0bbf493133ce702e', 'ce21c5e723a8d8e7', '17a38564afb315ab', 'd37fafcc33a6e901', 'a80de862042ab61b']; context = [[127, 201], [30, 108], [75, 122], [34, 82], [13, 66], [1, 53], [78, 126], [6, 53], [39, 124], [111, 165], [7, 68], [3, 72], [111, 178], [1, 85], [9, 83], [11, 93]]; loss = 0.017363 low_pass_filter = 0.300
+Epoch 0: | | 43129/? [7:32:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 43130; scene = ['155707adc66484fe', 'f822a0ef43ff4b24', '90828d77a46bc767', '0d111f268f906cd8', '14edfe7e24868a7e', '8b980fb43382ce10', '79aeba7d5a911620', '31c515e53294d11b', '760c626fa583ca58', '2643d60a731e5d92', '4537957ef30176c2', '483662df1f507119', 'ed9d715df2eed57d', '4994aabf6ecddf13', 'a897a9a9dd1e252e', '03fbcd2f324b9946']; context = [[29, 96], [116, 202], [2, 67], [23, 72], [71, 132], [11, 76], [29, 100], [29, 98], [11, 56], [109, 172], [25, 84], [2, 63], [16, 72], [2, 51], [86, 164], [39, 95]]; loss = 0.013254 low_pass_filter = 0.300
+Epoch 0: | | 43139/? [7:33:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 43140; scene = ['e280e5d4cd514531', '435fe174264697a6', '57e607bc8cd5d233', '3223635c785c9718', '5dee435a268fbf38', 'a9caf4fcb2bca405', '7125ae35464adb5a', '935a90bf15b8c7cd', 'bffbd3c67735eeef', '5aaf9100d34579e6', '6b990b7b7e1842d9', '81df966eea295ac0', '875839ca4b0de009', 'a6ac9a6cc22cef98', 'cdadb3960ffc1de8', 'a42751218de3c92c']; context = [[12, 87], [12, 81], [32, 113], [19, 93], [85, 139], [9, 90], [1, 66], [63, 112], [83, 150], [9, 72], [0, 45], [126, 192], [17, 86], [211, 262], [44, 119], [37, 93]]; loss = 0.015067 low_pass_filter = 0.300
+Epoch 0: | | 43149/? [7:33:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 43150; scene = ['28be4c2b9208df0d', 'c073e79fc1a1913f', '97a395ac62304d1b', 'f5201dbafa0af79e', 'e621fd73ae473881', '36e9f6aa15a645bc', 'b526812abb4244ea', '18c6d122fe4c3dc9', '7e3991a1e57c1b92', 'bdaf42f6d92c13a4', 'cc9c60269e489a99', 'c1a27588c9184422', '28f09b5ab9c6c80b', '03c5717890c26e1d', '612162b515851e55', 'af9feb7dee1b26ee']; context = [[4, 88], [172, 224], [110, 200], [70, 141], [23, 85], [44, 91], [4, 66], [2, 54], [43, 119], [128, 203], [12, 62], [12, 80], [0, 60], [22, 111], [56, 115], [0, 70]]; loss = 0.016432 low_pass_filter = 0.300
+Epoch 0: | | 43159/? [7:33:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 43160; scene = ['3536c0c4998096a9', 'b135244ca7508cf0', '1749cf5f9c36da53', '61715ff54ffcaa5c', '5b97a19bc0a90bae', '4d023ef833623c01', '76d9531e2f92d2ba', '06f0d295c0618b29', '3c7f24cf584b48a7', 'e70cd0d4dee51c54', 'ef9c173e09936e3a', 'c07ea4ff919e5f92', '60c2c6de25a0ed1a', 'fffeb0ca5d44676f', 'e879de97f064bfb8', 'a64e6ad0a94e2f4f']; context = [[13, 97], [25, 86], [122, 212], [0, 72], [50, 135], [4, 55], [121, 175], [54, 101], [3, 70], [146, 202], [41, 96], [36, 104], [1, 57], [21, 82], [6, 52], [37, 114]]; loss = 0.013828 low_pass_filter = 0.300
+Epoch 0: | | 43169/? [7:33:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 43170; scene = ['8f8259fa3b72216e', '80e6fa6ebabd2b5b', 'f8bc5a1bf0e97746', '4592370201894fe7', '275471aa95675b7a', '3199035cc6dd56bc', '27e6dbcd1a32e569', '21ab0d9d871753dc', '1668fcfb8bedeccb', '023e2a0f45dc49e0', 'd386559a465dea9c', '5fbf56ed209c709c', '746f958167248c47', '0314dd90dba7025d', 'e36b193b3e2dd16d', '31d2fb92e2a0ca93']; context = [[64, 136], [24, 76], [119, 208], [34, 79], [47, 106], [1, 60], [11, 93], [9, 75], [12, 69], [24, 103], [101, 189], [1, 57], [89, 151], [17, 68], [8, 73], [6, 55]]; loss = 0.015884 low_pass_filter = 0.300
+Epoch 0: | | 43179/? [7:33:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 43180; scene = ['9adb745c741c85e0', '357c34539592a013', '2bf2d66d87db5178', '255998558abc7172', '13a1b330d7a46e0f', '28fbb291c0ee869b', '20e8b08c2473d308', '15cd69baed84dc6e', '8194a8208ffbdeb0', '482411a57b1a83f0', '465f47645f47fc91', '5f55eb6c1fc4b224', '51a39b25696c0c87', 'c5fd05e61423e739', '8f12d727ce599e93', '824e8f2ce491283e']; context = [[47, 104], [57, 138], [69, 120], [35, 89], [9, 91], [1, 85], [34, 90], [154, 222], [7, 74], [17, 83], [156, 213], [5, 82], [27, 75], [22, 95], [14, 80], [25, 92]]; loss = 0.012406 low_pass_filter = 0.300
+Epoch 0: | | 43189/? [7:33:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 43190; scene = ['1c697e1b376ee31e', '28bb7b161e83ed60', '98b8e9f58887b2c8', 'c62b839c1b99274d', 'eb61796d301ac994', '1213665a8be72518', 'f646551e454cd501', '4fce6c47c4c214d6', 'e1d6178ea1fe6d44', '35e07043b9b3eb19', '272f59f3d84779a9', '2a6925fc26fa09e8', '7b9eb87b3c33b779', '2fb9ec5355fcfba2', '35ce6f27e3fdc72e', '0cca6a29009f4302']; context = [[41, 98], [50, 128], [131, 176], [14, 92], [187, 250], [4, 71], [59, 105], [187, 245], [7, 65], [3, 73], [79, 145], [62, 111], [20, 75], [206, 272], [53, 114], [7, 63]]; loss = 0.016612 low_pass_filter = 0.300
+Epoch 0: | | 43199/? [7:33:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 43200; scene = ['894fea499dedf307', 'c19755d2cd2e0dd9', '919d3ff26a150d09', 'c134e3f9851881e1', '23ce480af575d312', '61c0ff6624e4d350', '0e38cc0787ed36fe', '5c160981d97349b1', '6d1ed2233f65589c', 'f682063bfeb6c468', '4deb9a61dc7ddb3c', 'd9547a0401062a0c', 'e37711006fc617e8', '26ab7013632ded77', 'd1f1099b0a428268', '806a90bcf60f7e6c']; context = [[213, 273], [0, 69], [38, 89], [2, 63], [108, 170], [8, 87], [28, 75], [5, 72], [43, 115], [2, 91], [68, 127], [152, 222], [107, 174], [22, 75], [18, 91], [205, 270]]; loss = 0.013201 low_pass_filter = 0.300
+Epoch 0: | | 43209/? [7:33:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 43210; scene = ['b2a571084dfde71d', '4b147fb33539c4b3', '668011916dfc9762', 'b636c05273b23b17', 'fd923b822b8f87e8', 'f51d764e6543d993', '293272fcb29e9ba8', '6a9ccc096a4948c2', 'a96c2922bf656806', 'e658616ac1207eb3', '267a8f08245c96a4', '131e9781c6c6b8ff', '4943eb8bb4f47bd1', '32cfa955e0ff3839', 'b98515d2ff990799', 'c5ff8619cd8c1e5d']; context = [[40, 85], [2, 77], [3, 56], [61, 130], [96, 185], [17, 64], [142, 221], [11, 59], [191, 239], [32, 109], [61, 122], [9, 91], [194, 245], [83, 138], [4, 88], [11, 70]]; loss = 0.016912 low_pass_filter = 0.300
+Epoch 0: | | 43219/? [7:33:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 43220; scene = ['cb0ed625413a2cc6', '53cf0ccf9f3cd287', '653bb70e9b1ee3c8', '41ff70cc3fc8a332', '665c734dedef60ee', '1bb131cb68bb3060', 'f953c1d204bd8b12', '04ee6d9daa244889', '4d5fe5ad660cee05', '7c70fa6ac7c7e2f0', '7933d6d96dd31a6c', '570ec4d99796393a', 'fa253477dc8dab85', '6a750d0085319d94', 'b7dca8f8921dd2bf', '9aaa302f4137de82']; context = [[1, 90], [3, 53], [94, 143], [0, 90], [112, 187], [19, 85], [35, 81], [41, 96], [41, 112], [65, 119], [50, 108], [15, 64], [39, 108], [23, 83], [22, 105], [51, 132]]; loss = 0.014005 low_pass_filter = 0.300
+Epoch 0: | | 43229/? [7:34:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 43230; scene = ['f7dee93d8f7d334d', '9f619cb9683a8018', '0b374c27db010039', '4ee204d09f90e35c', 'fca1f74b2536688c', '95ce04afcd02e7b4', '1055b59a47af85a8', '4aa62d0ae8cabf87', '3551465abdc1cb7a', 'ac996a63b23c9747', 'be304be58881172b', 'a8b0825608560062', '865591930d0627a1', '2d0c4b9d251f0ead', '8eed7c01c0f3ef97', '8fb8882b02bc63aa']; context = [[68, 135], [225, 276], [13, 91], [56, 127], [11, 80], [9, 72], [3, 52], [0, 48], [2, 49], [5, 93], [0, 54], [161, 247], [19, 87], [32, 120], [9, 63], [56, 102]]; loss = 0.013828 low_pass_filter = 0.300
+Epoch 0: | | 43239/? [7:34:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 43240; scene = ['7ba0f68640ce9c8e', '0a683a595f574a3e', '463e2b4db1450630', '1be5aeafa693a55f', 'b4af5b8cd47175ae', '067465f3c21db874', '8d54e7bed1440d1d', '04d4243f168b02f9', 'bded10a91e89aa04', 'ba1f821b91b11271', '2c74a8c657cc6205', 'ae24ea068f865c14', '8930bc7c49667d9b', 'ca9e0af526c9a784', '70ff3aa16e0ae951', '070d7b604525ce5b']; context = [[144, 211], [117, 190], [79, 165], [187, 254], [6, 89], [7, 81], [36, 109], [97, 144], [58, 122], [4, 70], [5, 94], [0, 76], [8, 66], [18, 76], [6, 86], [16, 86]]; loss = 0.015185 low_pass_filter = 0.300
+Epoch 0: | | 43249/? [7:34:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 43250; scene = ['f013b6c547a10306', 'afc970648a89e04a', '2bf30153b26e2060', '2b83ce9b23c5ab7d', '84cede8286dcf69b', 'eda299b8ec5d56ff', 'bf37ac6cc15e90c4', '814f74b9c3c4d094', '0a609dca037e83a9', '5a040cbc8d351ff7', '3ba79e4a3499b7bc', 'd729044c166a455f', '0fbbfe4c8f90f581', '6feb5bcd09a060f4', 'a90eab41dddde44e', '961545212c111ea2']; context = [[103, 174], [0, 63], [141, 207], [26, 81], [116, 170], [108, 165], [43, 132], [14, 71], [28, 77], [120, 203], [29, 85], [147, 210], [48, 102], [131, 204], [10, 84], [4, 51]]; loss = 0.012603 low_pass_filter = 0.300
+Epoch 0: | | 43259/? [7:34:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 43260; scene = ['3b4d02e2e3dcfe71', 'af4b799f345044ca', 'a7a82f76bbceea2a', 'bcb8a096f875ed4a', '2cf82f9ef86a8409', 'cfcad25f2356c640', '6266a30f21d42bc5', 'd60624e14709aca8', 'e90ed5155007d77b', '2da0d2a359988cf0', '8169c8faa57d4f73', '3a51433314e31d1e', '8da1bafec04ced57', '39ba141a740bd82d', 'd3be28b87efbb74a', '2a157e573ea82340']; context = [[79, 140], [55, 143], [25, 99], [20, 96], [1, 65], [116, 178], [48, 132], [26, 92], [48, 100], [15, 92], [103, 161], [91, 150], [93, 150], [40, 109], [67, 150], [9, 93]]; loss = 0.015628 low_pass_filter = 0.300
+Epoch 0: | | 43269/? [7:34:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 43270; scene = ['07c6818a3a353dd8', '05caea054b89afc9', '0a8e2e73b0a0ddeb', '7a3c692a84dcff3b', 'dfce5eefef18f037', '9508bbadb133599f', '44020f34ef2803bf', 'bc3e84661532f610', 'dc39348fdad696f3', '76e3767736ea1fcb', '7a91beed3bf01666', '893631aa1120f800', 'cbe0c9fc3dbd7684', 'ba7bebabc6b4f278', '9f3f79ab40543f33', 'fe41521588b2ba41']; context = [[50, 95], [3, 87], [24, 70], [89, 146], [8, 68], [10, 88], [6, 60], [99, 151], [1, 61], [30, 83], [12, 69], [14, 65], [29, 87], [20, 71], [26, 98], [170, 236]]; loss = 0.015838 low_pass_filter = 0.300
+Epoch 0: | | 43279/? [7:34:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 43280; scene = ['4ba301a1a17dbcaf', 'de255a3948e5e03b', 'c315f2398bb80995', '3320d81637603125', 'ee72c2aaecc97c6f', '62e273b22c4ff772', 'a9b14f8a4255ecc1', 'a176ed5970cfceb3', '82da06be52bf21bc', '1ac1373478877088', 'b3ce1599e03be3f8', '355a8c97e4c00bee', '68cbb26505f30aa2', 'cd5889e3c16145ab', 'ffe748128f835e3f', 'c547ee7c28eb64e2']; context = [[29, 85], [82, 152], [86, 167], [158, 246], [16, 88], [49, 125], [0, 62], [109, 156], [36, 98], [28, 96], [40, 121], [48, 113], [32, 108], [83, 132], [12, 66], [82, 135]]; loss = 0.013223 low_pass_filter = 0.300
+Epoch 0: | | 43289/? [7:34:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 43290; scene = ['b7b8b9f2fc98e45a', 'ec6e7c0c29cccc86', '31acb3482cabe228', '3567756df2b457ac', '3254421780c522b1', '4da78e47fef24309', '8a57f52da27eb5fb', '53bca77d4e3f85d7', '23e956eb11c43626', 'a688345950054137', '64b50539746fbb31', '99a90c9f04f840fc', '9bd27245632f7e5c', 'd105006c740c2cfa', '20af62cb11b5732b', '7ab4c9902de4a6f6']; context = [[48, 109], [2, 49], [30, 75], [4, 49], [143, 209], [5, 93], [1, 57], [22, 68], [9, 54], [38, 101], [5, 54], [202, 251], [108, 153], [11, 78], [23, 75], [40, 119]]; loss = 0.016202 low_pass_filter = 0.300
+Epoch 0: | | 43299/? [7:34:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 43300; scene = ['d4c4178391fa64a8', 'e509e98f232c4833', '84b2e0a015504fbc', '51996d52eea809c9', '8c4959742a47d9a1', '903efe5f8a8e932b', '4b34e4a22e4a08ab', '1268b7774e3d93e5', '559322faba1bc893', '3d25472e6c3c1656', '2fcad17f6d64f031', '8cf3c521b190624e', 'a8dbc5491c002f9d', '1deb7af016dc2b4b', 'ff9b2c0bb5d5265a', '86bf9a8f338370fa']; context = [[59, 112], [66, 148], [1, 91], [6, 72], [2, 88], [8, 93], [17, 105], [41, 95], [1, 56], [132, 218], [24, 76], [31, 99], [36, 111], [48, 118], [3, 66], [40, 89]]; loss = 0.014653 low_pass_filter = 0.300
+Epoch 0: | | 43309/? [7:34:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 43310; scene = ['f08a49f7e35dd20c', '0b61e5cda871bfcb', '0143864395cecb80', '2b624da94d6da68f', 'e4826c5ed7607257', '853c7eebbeca0d3c', 'afb2a56969dfeb12', 'd50420b20607f2de', 'dde8845ccf64c76f', '5244fc9d5e9e355b', '54da02e4dd714f48', '791e28fec2c37cf2', '889deb5eb86b5e45', '39f951132830b2ef', 'a6e0604d272fe004', 'ee50f4114d071b11']; context = [[73, 128], [39, 90], [20, 75], [124, 203], [1, 57], [20, 96], [22, 96], [1, 52], [6, 82], [51, 102], [16, 105], [20, 69], [38, 87], [25, 100], [1, 71], [0, 66]]; loss = 0.013011 low_pass_filter = 0.300
+Epoch 0: | | 43319/? [7:34:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43320; scene = ['d875f996331712c3', '20475261b8d3418d', 'be6ea47fd801555e', 'a6262cc30cd10451', 'fa4402c07b3c6865', '2c484e9510a83538', '8d9c7b05721ed05f', 'd744ef80876e6edb', 'bb3476e0d08d2eef', 'd52718de7fb3476f', '8167b5c86160ca84', 'd8e31e4bb9ddd286', '273f4a7d0ccbd7c7', 'c366e23315cda80c', '1eab9fc44438af28', '236e43e580eb82bc']; context = [[3, 48], [3, 75], [11, 83], [3, 60], [64, 133], [21, 89], [67, 118], [2, 56], [26, 84], [119, 171], [31, 114], [90, 162], [3, 49], [37, 113], [31, 93], [59, 148]]; loss = 0.015498 low_pass_filter = 0.300
+Epoch 0: | | 43329/? [7:35:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 43330; scene = ['6af72be1c13d95b1', 'e583e0081a605269', 'afde2186de3c048c', 'd2b0b8d0e6d4c6c0', 'cf4862826e521d10', '270bc5262172dcde', '4d61b9ff898c7e7f', '96c1b25253005816', 'e592493d5b6b248c', '2256f50a6dc095c7', '4ac29acceb412343', '17b586b2d92e9309', '93ef2f0bd081e8eb', '27aaacb0d6f48092', '130130a2cc332ef5', '9973aed2c5833126']; context = [[29, 77], [128, 184], [29, 81], [12, 88], [117, 205], [14, 96], [35, 112], [34, 84], [161, 233], [174, 228], [1, 88], [3, 53], [33, 112], [8, 72], [133, 200], [189, 240]]; loss = 0.013162 low_pass_filter = 0.300
+Epoch 0: | | 43339/? [7:35:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 43340; scene = ['2e91aadb02e1e9ff', '6b6daecb04d78e6e', '7cd7cc90b4b3cc3d', '808fb9f8f6ffaea3', 'b312f660891eff99', '2713e0ee94fa2fd5', 'a0b34f5d4d3ad074', '6c89d1c9dece310d', 'bab915d8f5e78e91', '2f029575738d520d', '5afb45fc7fd3c865', 'ebb723e2df92ac0f', '3fe72e64dc7d76c3', 'ed3b85d5eac7be21', '33bde5a1119d0e83', '4e726c834344b1fa']; context = [[28, 97], [53, 141], [26, 98], [10, 66], [92, 145], [1, 46], [55, 130], [1, 52], [191, 269], [0, 82], [25, 104], [5, 84], [13, 59], [194, 263], [13, 58], [15, 102]]; loss = 0.017651 low_pass_filter = 0.300
+Epoch 0: | | 43349/? [7:35:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 43350; scene = ['87496b4445d7539e', 'aa8f687d18dd812c', '353cdac18ea04920', '199cc9cb91da9015', '766faacf860da300', '05d937301b6a15aa', 'ce8fd4b7efd2db89', 'bbd98017a5638045', '2318a23527dfff67', '7f68605e483cb231', '4e51832db28d7a2f', 'a69c46f6bf343d2c', 'fde72c5779d294aa', '3f5a3f57adf8a7da', '629e4849c3d26620', '6679f59d495204c0']; context = [[18, 72], [68, 147], [18, 71], [33, 87], [35, 105], [47, 98], [3, 54], [66, 113], [19, 105], [1, 75], [0, 51], [119, 165], [149, 215], [6, 71], [5, 93], [31, 101]]; loss = 0.015464 low_pass_filter = 0.300
+Epoch 0: | | 43359/? [7:35:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 43360; scene = ['50a80324ceb9b4aa', '736e4b77ba8cd0df', '0d69f7dc45db6f64', 'bbabc35c62bf6c42', '954237904293f7bd', 'ed05f3c424c81e2c', '05d28b2730b211f3', 'a53970a62f2883a5', 'fefc3059183c67f6', 'fcb256aee3f2f1e9', 'd4a2a9eb76093fa7', 'c6f270aee918729e', 'b66696af4dfbe01a', '09620e93073c72cb', '67497e4b41e252bc', 'f31f2ae8f0316f19']; context = [[38, 98], [13, 62], [136, 200], [60, 135], [5, 61], [88, 140], [3, 76], [2, 52], [16, 73], [177, 241], [111, 177], [3, 73], [83, 144], [4, 53], [35, 96], [53, 99]]; loss = 0.013102 low_pass_filter = 0.300
+Epoch 0: | | 43369/? [7:35:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 43370; scene = ['e7071c9b8fa316b5', 'e91be8e4dc0677ec', 'bf95ab0a626f22de', '8228ca5845a50b25', 'd97698e7dc9a9128', '796b0f5a4a5c8c36', '369c02164dfb88c5', '25421e7dc598200b', '7cff10bf133f4eb0', '2c4541ba8f41d7a4', 'e6ef1d49133d90fa', 'c6abfa259565e197', '3504225f73ba7740', 'd27c45e77229d289', 'ffda0c0d8a50e8a2', '65b6b6655d338290']; context = [[60, 144], [34, 115], [43, 101], [5, 51], [23, 73], [36, 116], [4, 78], [182, 250], [12, 71], [117, 176], [1, 52], [11, 76], [3, 59], [0, 46], [5, 70], [114, 162]]; loss = 0.014615 low_pass_filter = 0.300
+Epoch 0: | | 43379/? [7:35:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 43380; scene = ['177e6cbad1a5d389', 'd6f7c7d0d43844b5', 'e213c0e5f037bd5b', 'aa537814419ecf94', 'bb758f7d6cc32e3d', '7c664e90551fc0ec', 'a4a01e93fcd428b0', '1237e179ae7ad3b5', '8eea074fdf6f2a8b', '64ebbf286630bc79', 'cac5c47b2aa42583', 'afe4231d9129076e', '8b95fd46af2120e1', '9bd0682ba6f3ea5f', 'd3395f68f3233b97', '8aac6e58ac48fd15']; context = [[18, 81], [0, 72], [3, 75], [11, 75], [2, 51], [5, 66], [203, 258], [106, 161], [0, 86], [99, 166], [21, 81], [32, 92], [20, 80], [19, 71], [80, 125], [122, 167]]; loss = 0.015090 low_pass_filter = 0.300
+Epoch 0: | | 43389/? [7:35:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 43390; scene = ['e72efe3789ffb895', '7dacc3867cf5272e', '0a407decff459e2b', 'd7c70fd548a65dd5', '22959e8506d3156e', '6c18f4e4d2649836', '61c269a3c3f1c3aa', '8217a02daf1b83d2', '4dc6cd1fc90d9169', '195565e5d3aaf3ed', '5c52654012ab43a1', '6f12d641bf706305', 'eadc6a24e965d9bf', '3f41c3d45e60f019', 'ceaf8911d4dd084f', '00b647226f5d6904']; context = [[9, 83], [53, 125], [1, 89], [1, 57], [1, 91], [111, 170], [38, 83], [15, 80], [205, 275], [140, 215], [156, 233], [15, 99], [4, 73], [13, 80], [21, 100], [36, 87]]; loss = 0.013674 low_pass_filter = 0.300
+Epoch 0: | | 43399/? [7:35:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 43400; scene = ['80ba40b2def2070b', 'f8f835eee75cd945', 'ebfefe9f9b0f3e6e', '60008e826bbabc87', 'c192877873ca4513', 'd949abd5b412d212', 'f21111953bcea290', '96d32953310c8208', '735806a526764f0f', 'f1d0c2308fe37a04', 'a5f2758d6aef3ebd', '3d6b9aedc82597d8', '362586b84e8218f3', '3d270a9cbcc422e1', '11dade2554d9fe4b', '142345dff1f507da']; context = [[49, 104], [13, 82], [50, 108], [0, 59], [27, 87], [10, 80], [36, 97], [54, 106], [25, 79], [0, 51], [142, 223], [38, 111], [0, 85], [22, 68], [33, 79], [12, 82]]; loss = 0.013493 low_pass_filter = 0.300
+Epoch 0: | | 43409/? [7:35:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 43410; scene = ['97404df843f6f12a', '4c500c935499b76c', '791154aeb41aebe5', '9652388a27e34f6b', 'c0d9b8245553ea43', '79dca8946db32bbf', 'ea1b098bc21eb64b', '4346bc65cbbf2d07', '15e37857ba740b8e', '62705f8c22b2c80e', '9988a33ae078c5ab', 'e60e83f6a5038716', '9a177d5e00f6c9a0', '0664d28ff022567f', '32c01e25cd9ebe0a', '3025fdd5fa3cab26']; context = [[5, 86], [0, 55], [2, 55], [14, 83], [16, 62], [17, 93], [26, 94], [12, 95], [31, 80], [78, 166], [87, 139], [142, 212], [29, 119], [3, 71], [27, 89], [0, 45]]; loss = 0.013403 low_pass_filter = 0.300
+Epoch 0: | | 43419/? [7:36:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 43420; scene = ['e0fc35891bf29a7a', 'c1227854f6f7529d', '3075c400813b4fd5', '47ca1ac74bf7cc30', '57b04086b86e72fc', 'c0fe0bd487299e61', '13c85315b9e987d9', 'eefc81d648d588c6', '8b5c24358ec92b0c', '8da41667e8f33d92', '0ddb1fa8f7729c9f', 'cd2a8b442f09b208', 'ad94a851400c5736', '123647e02b47df3d', 'fda5437ee76b48fd', 'a8cb13d02b8d08a7']; context = [[20, 75], [3, 90], [29, 95], [23, 94], [0, 64], [6, 88], [47, 131], [0, 57], [162, 222], [55, 124], [10, 66], [46, 98], [4, 83], [20, 83], [42, 103], [98, 186]]; loss = 0.016364 low_pass_filter = 0.300
+Epoch 0: | | 43429/? [7:36:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43430; scene = ['b61c891c19c16e0b', 'd4e12bcf9891030f', '959f1359e772c180', '694c3e22993c93ce', '0e0ee14ebe357bd3', '14da8693f9a9c525', '2b0e8b187cf14973', '472c849ac7e496ed', 'af2e29bba8ee6e72', '83e6990375012c01', '5f75fb00f3749558', '400b5fc60ec3737b', '50e4ebe35515bd19', '1b2d7766039aff75', '878ed649fe75b1e5', '962d076caa394857']; context = [[1, 48], [14, 97], [91, 162], [21, 88], [11, 80], [15, 89], [105, 187], [5, 68], [12, 74], [81, 145], [53, 137], [1, 50], [35, 109], [130, 176], [5, 66], [7, 53]]; loss = 0.013768 low_pass_filter = 0.300
+Epoch 0: | | 43439/? [7:36:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43440; scene = ['5285baf2ba809bbf', '61332cebfe33da87', '01604c0e579e68e3', '9b7612cf5dd4b8c5', '6cb7df2f1d711464', '13a718aa677d2cc9', 'be252e2b4a8d5acf', '0dc4a3434a4d2771', 'ff88692d320fdbe3', '365cc26334324afb', 'aa11e8a13707a575', '55e86e1ea48beeb5', '4646aca26dab9724', '4ffdf89b53bfb794', '7fcb89af08ebffa4', 'a927a1258bfdf112']; context = [[41, 113], [50, 107], [9, 55], [44, 104], [101, 156], [0, 57], [23, 84], [43, 97], [91, 175], [12, 87], [73, 148], [40, 115], [16, 79], [2, 73], [16, 65], [92, 139]]; loss = 0.013072 low_pass_filter = 0.300
+Epoch 0: | | 43449/? [7:36:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43450; scene = ['90603a5bce11c2ed', '0f0676064db56c56', '2645536c2312c35a', 'f77a260233eb16ba', 'c472a0ece0937100', 'd3b0bdaf452577d0', 'c2e363674f808d28', '3ceae7bf233b07e1', '15bdffd46ed3c134', 'bedb0dffc6d80b4e', '62aee613a1a82b79', 'f896f057f530ebce', '568246aa43b60985', '12d54b02fe9d16e1', '2cf0df5ede50bd1d', '1f4ff72d26fbd071']; context = [[49, 129], [6, 72], [31, 87], [0, 45], [1, 57], [2, 49], [21, 103], [22, 85], [14, 65], [21, 97], [150, 208], [31, 76], [0, 72], [1, 87], [46, 110], [90, 143]]; loss = 0.014976 low_pass_filter = 0.300
+Epoch 0: | | 43459/? [7:36:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 43460; scene = ['1e8f20a009268021', '5b4e5590f2d212b0', 'f523413a42b1908f', 'f462a4d3091e912e', '0d13f4d2a07b20d7', '98e9a5ae1fc337a3', '1ff7056cfffd13cf', '08bea3131a278709', '4d9cf2781dda4a42', '1ff60a804f7f107d', '89e7653cf66d64d2', '5bf9fa1a52d8cbd4', '6647e84a85255c82', '567d9ec52904ba88', '0cde1dae939d4611', 'd7bf42a194388be3']; context = [[10, 78], [0, 58], [1, 76], [45, 132], [2, 63], [38, 109], [14, 100], [7, 89], [17, 64], [5, 89], [2, 66], [5, 95], [7, 59], [168, 224], [110, 177], [34, 87]]; loss = 0.011932 low_pass_filter = 0.300
+Epoch 0: | | 43469/? [7:36:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43470; scene = ['c2cb552464e430ab', '50e795080ac74ba6', '88d8e90884122b24', 'db554baaea71b956', 'e083b64b420a7c1c', 'e152f1023f62baee', 'bbacf37a3de9fe50', '2ac2be72df08b59f', '811030cf843d51aa', '72cc5bfd4015cd03', 'b8099dd0779f2b1a', 'a16a83db12ad4c46', '7892cb3fbcaee020', '81945ee5d2d889f7', 'f1113eed57046994', 'db6c2906183ce664']; context = [[12, 65], [4, 65], [16, 90], [4, 55], [3, 62], [80, 139], [12, 60], [188, 245], [1, 46], [100, 145], [89, 161], [22, 112], [20, 97], [95, 149], [2, 63], [6, 87]]; loss = 0.014576 low_pass_filter = 0.300
+Epoch 0: | | 43479/? [7:36:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.0train step 43480; scene = ['a0c550da4185fc6f', 'd118e19d42fcf599', '0ee7e810d79b3a9d', '2dfa7cf25db7aa64', '9c0d1421ac23aac5', 'eac342d936e459d0', '3de5c60abf559a69', '978e3cf480d4f9a3', '8535bf9e54aec7cc', '5b42c714b345da65', 'a39e4a70e09d8240', '0fd37e03ce9c62d3', '7ac2220e1acd3816', 'f6ef16edbf87f358', 'c494a2a9c1f9d2af', '9e4ed17f5acf397f']; context = [[137, 208], [166, 253], [22, 101], [29, 93], [1, 89], [0, 66], [11, 56], [39, 99], [8, 62], [15, 105], [51, 125], [27, 73], [2, 63], [83, 155], [1, 61], [144, 214]]; loss = 0.015116 low_pass_filter = 0.300
+Epoch 0: | | 43489/? [7:36:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 43490; scene = ['c3ea88797ba49d4a', '2e904050b495396f', '4e2f8be5169e74c1', '8a357be8b7d049e1', '2958d238e5aa242d', '75bde416bf2a70e9', '80d4314fc20d694f', '2b1283adc29ea556', '32047e8d7765b533', '93d5594a00802532', 'c4064076b7e5e42b', '2395ecfa5327b13a', 'a3687e6319f47730', '59af7a148f0573b3', '68acc2522f558367', '6bd6d8270eee0b81']; context = [[73, 125], [37, 123], [80, 137], [4, 58], [55, 129], [145, 223], [36, 114], [127, 199], [21, 66], [18, 71], [140, 230], [72, 120], [19, 95], [7, 67], [133, 190], [19, 96]]; loss = 0.018427 low_pass_filter = 0.300
+Epoch 0: | | 43499/? [7:36:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 43500; scene = ['62602df4d400f42e', 'e2ab64a2bdf0d0be', '189c0ea685eb4a48', '0c23c5d9c2010333', '48e2fd6a0d7108d4', '593ce715d6f50efe', '72a9d8a95167817d', '8471bfc93e219d59', '9da383f361f3b1b9', '5876f56d0bc87d02', 'b43a1b56fac54da6', '4f81fe7e11e4acec', '092cff6ec159f8ad', 'f01c8d83aebef602', '552a181ec308df03', 'b442e46622525cb9']; context = [[121, 182], [29, 77], [4, 53], [3, 74], [4, 65], [41, 126], [1, 78], [1, 74], [4, 52], [29, 111], [25, 73], [19, 74], [3, 71], [98, 148], [179, 227], [0, 83]]; loss = 0.013654 low_pass_filter = 0.300
+Epoch 0: | | 43509/? [7:37:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43510; scene = ['5a16a09ec30a0816', 'afa70997cf926e43', '798a009455e7dfd2', '3384e2413c4d783d', 'b95f9f80a31196c6', '7c4718692637f698', '0e98d5c73109d26a', 'a69d5b40652325e4', 'ab3a4b7354892cdf', '505b52fc1cae4f44', 'eeb4a4c68a41a6c5', 'fb905d6d129804cd', '2bd2e8dedeb44254', 'c59210f96ab4a776', '1bbd97bb351008ec', 'ed83ccffccff011a']; context = [[13, 58], [7, 74], [172, 248], [24, 98], [1, 65], [22, 108], [34, 80], [26, 74], [0, 76], [120, 197], [17, 81], [1, 75], [19, 64], [10, 56], [79, 149], [16, 68]]; loss = 0.016233 low_pass_filter = 0.300
+Epoch 0: | | 43519/? [7:37:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 43520; scene = ['9ac0d7465ed4324a', '451c76fc9212f2cf', 'f169545e99771a22', 'fa82dc63ae8f235b', '8fca99d8fece5af4', '37f7b1641c315933', 'b8ad1d63790b5941', 'b9f3719f5c56510e', '7c33974e393d64f4', '780fe09fe9a13e58', '41281499ddf2fbd9', 'accb755285389002', '057968bb7adf0b33', 'a564a6846e90f759', '861999e4623fbc46', '9c507b0e969d8f40']; context = [[3, 70], [2, 72], [30, 118], [14, 59], [26, 94], [32, 117], [12, 71], [3, 79], [11, 81], [66, 122], [11, 60], [122, 196], [0, 64], [1, 77], [31, 89], [117, 176]]; loss = 0.014643 low_pass_filter = 0.300
+Epoch 0: | | 43529/? [7:37:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.0train step 43530; scene = ['4a5a40fe006ce40d', '55396890c6961267', '9be8777414b5510a', '026013ca541c30da', 'fb2d399fc8d1288f', 'b53a8e8d3caa0f66', 'eca88f83164ab4a3', '096ec46a582e58ed', '4f3b786e5b6c7068', 'fb8928d05f46e7e2', 'acd293363db06c1c', '503baef644d73490', '6b7b1bd6d14033d7', '3b348c5244a57b53', '32595088703a7895', '536379d000ca3575']; context = [[127, 215], [13, 88], [30, 78], [153, 219], [11, 92], [55, 113], [38, 86], [60, 114], [2, 83], [1, 49], [16, 80], [45, 91], [7, 81], [0, 47], [15, 74], [25, 107]]; loss = 0.012054 low_pass_filter = 0.300
+Epoch 0: | | 43539/? [7:37:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 43540; scene = ['38810e0e102e497b', 'c5a0cbe5267c42b4', 'dda1c2d4bd25e6f1', '9127991e1bcbc9c9', '66a079896a5f5de0', 'c221145e989e0ebe', '589c50b99b3f9f21', 'dc7a324e7e3e0c21', '3fd8ffd6f16252ce', '1cb7aee79f67faf8', '619fab5acfc50704', 'e17be9060afc6084', 'dfb4189449c6f59e', '65b8dec0c3660ba1', 'dcb67053bcbf59ba', '47557c00e771c40f']; context = [[6, 91], [1, 64], [2, 70], [52, 141], [81, 157], [81, 167], [6, 53], [65, 150], [152, 198], [61, 108], [35, 92], [27, 105], [155, 206], [10, 62], [2, 54], [13, 66]]; loss = 0.014910 low_pass_filter = 0.300
+Epoch 0: | | 43549/? [7:37:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43550; scene = ['6618135c649e0ac7', '91b9589fdcd3ea5b', 'aff9cabf79a539a9', 'b6ed3946deafac7e', '8c4c2c2ef15f7e54', 'fba8aa21f45125ba', '53aa005c71a72d1c', '9f589a27fa72f3fe', '9652b745c529aa40', 'f324bb3c26b626a9', 'c63798be59424d16', '36e33959215c9d0e', 'ce2b5f59e7d1a168', '642d3fb21f60cc53', '102b393a88361a71', '5979f3317fc24cc5']; context = [[5, 58], [95, 154], [67, 130], [5, 87], [49, 115], [41, 103], [4, 88], [1, 59], [4, 66], [23, 76], [33, 99], [5, 65], [87, 159], [31, 108], [25, 75], [4, 76]]; loss = 0.014180 low_pass_filter = 0.300
+Epoch 0: | | 43559/? [7:37:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 43560; scene = ['fe783058309b4d12', '8c6bba80f9684632', '9ca4f73505c058bc', '313953db49c7e137', '49c6f4b5390d3884', 'b28521f1b8c1cb4f', '148b63d9d88a8e82', '17b04ea81d1751bd', '40711ee6462e7254', '90a2996dbda813c8', '1500c55a81d7e5e2', 'afbae91e7adc08c6', '0c22d101b8be38a3', 'eebe495253641928', 'faaadb1ab4e5dab8', '549aee7225d87f0b']; context = [[0, 51], [7, 55], [2, 52], [50, 127], [34, 115], [1, 59], [1, 47], [15, 103], [3, 75], [156, 205], [34, 120], [0, 62], [45, 104], [11, 71], [88, 156], [40, 117]]; loss = 0.016769 low_pass_filter = 0.300
+Epoch 0: | | 43569/? [7:37:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 43570; scene = ['9b51d7d828b0ee35', '3f02a2b8e8bd175b', '6d1dbb049d59574d', '8848308b52fd1c26', '891a2d8c1847a450', '649307d5095c45db', 'a20afaa5204a0dd0', '4c4749e293cb665b', '7c79705189eff822', 'f76591c4921d769b', '082f278db0e77982', '533c1156dd347a3d', 'b687a0112cc8f234', 'e87019343627db3e', '76754b00fc4f05cb', 'ed3ec99c97d13679']; context = [[51, 122], [6, 67], [3, 92], [6, 54], [20, 93], [0, 72], [1, 86], [7, 62], [137, 207], [102, 180], [81, 144], [123, 181], [2, 68], [7, 77], [0, 59], [96, 142]]; loss = 0.013725 low_pass_filter = 0.300
+Epoch 0: | | 43579/? [7:37:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 43580; scene = ['1b0e717e91cce82e', 'af89e3c28485114d', '9317c49bbcccdc77', 'c690e67a715dcada', '57824fb51ef03b36', '911d68b78781f3a9', '6a211ff7d9fd2195', '15d9bd9bab5b7d79', '7161a4fca014d00f', 'eaf376da1a87aba1', 'faf7b50488fc7fc2', 'e63ecf08e037ec9b', 'c59770fe087d28fa', 'ec740dac79f473bd', '7e2fc4af80b98644', '39d7d08e52c00f81']; context = [[2, 71], [62, 109], [58, 105], [37, 124], [36, 91], [126, 180], [19, 95], [85, 150], [8, 60], [161, 250], [9, 69], [64, 116], [135, 180], [8, 75], [15, 69], [3, 91]]; loss = 0.017859 low_pass_filter = 0.300
+Epoch 0: | | 43589/? [7:37:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 43590; scene = ['cf53b8a78207a9c2', 'f7de70fa3e0888e4', '4674c9925539aad9', 'd7b8aa8b102928ff', '431adcc96d3e7f9b', '0cb2e4117ded4d8e', '998668fcaa156c0d', '9dc9f592967c0765', '8cd0d1e0b22eb70d', '9c016698821f4400', 'df709a9df3c44a6f', '47fe424d80ea8a47', 'ea89b908690697c3', 'f12525f7becadc47', 'd69433dbc6bfb765', '5db1d88441035bc8']; context = [[4, 52], [5, 52], [52, 125], [17, 95], [10, 88], [26, 79], [27, 86], [24, 69], [95, 183], [77, 130], [1, 63], [7, 74], [62, 127], [1, 57], [42, 111], [44, 102]]; loss = 0.014120 low_pass_filter = 0.300
+Epoch 0: | | 43599/? [7:37:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 43600; scene = ['123f7a83114427ea', '8ba1c59238cee98f', '49d738ab620034b4', '46f13edc12ac2310', 'af55ad41c6d230fc', 'eb0791ba2f309988', '6fae8cc22f02a0b7', '76fee04b8728b661', 'cbb945f143df821d', '156eaffe73734344', '8edf3b74cf5fda6f', '9787ba4140533251', '2ea9ca01221db9b7', '9a52e997e2bc7c82', '897c0d90dbce9548', 'a9d0cd8dfee71c9f']; context = [[21, 80], [19, 104], [7, 63], [74, 160], [0, 47], [13, 97], [104, 150], [5, 63], [144, 214], [87, 171], [30, 109], [96, 144], [18, 80], [0, 63], [206, 258], [7, 97]]; loss = 0.013561 low_pass_filter = 0.300
+Epoch 0: | | 43609/? [7:38:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 43610; scene = ['bfb5f5711636d7a4', '558af3194bfedabe', 'b3a62589577efbc2', 'f96c98832d9c4b4b', '16e1c44254f04e8d', 'd363481754f5c78c', 'f62cafbcb5dc0acc', 'd9a1e79bb0bd315b', 'a7cb15558b96abbb', 'b2efd0eca9cf3f32', 'bdae62678f43c878', '57066a6735fdeba7', 'f35ca3ea6bb2661f', '1c95023e3a5c0dc2', '2b4a7ae6b2e50c04', '8e03d34bf0495bd2']; context = [[99, 168], [106, 182], [12, 70], [16, 73], [70, 145], [188, 238], [4, 82], [54, 107], [20, 102], [19, 76], [69, 115], [5, 53], [25, 73], [43, 99], [31, 88], [206, 254]]; loss = 0.013276 low_pass_filter = 0.300
+Epoch 0: | | 43619/? [7:38:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 43620; scene = ['cb2397daeb2ee8e4', '87035f1ba62732a4', '8e92a7934ae4139c', '2d77b1dd90856337', 'd8ecce19c527bd68', '3990880b3e15ac36', '61edc60f38c95391', 'eaaf81aa1bc440be', 'f64045579327a423', '1d8bf12e2ba493f9', '6a00254256e7d9ca', '883e140a4e364095', '099322efbdb10860', '0ca70686912ebe5d', '98d9eedc5a457ed2', '18866b816ce5604a']; context = [[188, 250], [11, 78], [140, 210], [2, 55], [111, 169], [8, 81], [59, 126], [35, 86], [8, 75], [1, 57], [43, 124], [0, 60], [9, 66], [8, 97], [19, 74], [68, 119]]; loss = 0.016605 low_pass_filter = 0.300
+Epoch 0: | | 43629/? [7:38:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 43630; scene = ['83195656d97455ca', '18418d639d03531c', 'fece907b60bd8859', '93ce0415d2ec4cfd', '557f8c7222f4094f', '14d6407edcc83d44', 'c7875783d4ebacb7', '70548ca1eb39d2ea', 'af4dff7016287971', '55bc2a5f8dd8c274', '56d7cd5d57583f2e', '2d56b7640c2b4e85', '4774ac3c0d87204a', '219cf573d508d23d', '5705a9af99505ea3', 'f7dc4697cd71b0ab']; context = [[137, 197], [5, 56], [70, 125], [9, 66], [1, 51], [56, 115], [17, 94], [33, 122], [75, 149], [30, 88], [16, 99], [23, 106], [188, 264], [12, 94], [133, 211], [89, 158]]; loss = 0.015580 low_pass_filter = 0.300
+Epoch 0: | | 43639/? [7:38:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 43640; scene = ['c8b2cc9cf104268c', '360253c55aef692f', 'f180ec5076146d31', '399e431c92be9702', '440566f756704547', '3a40129b68a67440', 'df915616a90ca437', 'e31116726818d22d', '6532d43d92536a3e', 'e85713019ff14680', 'e3fd1c25a23221fa', '6e4a8fd1b37c6737', 'b60b68531fc4c957', '7df74c7ca3dd7c47', '5b87e5dbad309e09', '3315c801dd9c35ff']; context = [[7, 61], [18, 65], [15, 100], [82, 165], [0, 45], [48, 105], [37, 92], [117, 170], [201, 265], [59, 110], [1, 51], [45, 114], [11, 64], [18, 67], [30, 91], [16, 104]]; loss = 0.012548 low_pass_filter = 0.300
+Epoch 0: | | 43649/? [7:38:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 43650; scene = ['9b85cef812737e5d', 'd6d2b9231c14b140', '0ddbd037f8183e3a', '19f4d7a017c190a5', 'edd3751dc8cbb486', '1195bbd1355cdcb1', 'f8bf2fef06336b12', '0f941bf5ec6453a0', 'f9eb1bd8462ced40', '39ff492c91df61da', 'd34adbecbd9fc68e', '590fb5ac33ed6860', '0ed722850582d94a', '798d4e7752255a53', '50d330f3a08805ac', '60454705a200f9d9']; context = [[3, 84], [0, 83], [2, 61], [3, 65], [35, 89], [1, 87], [0, 45], [23, 103], [24, 71], [4, 92], [77, 141], [10, 82], [18, 105], [161, 235], [17, 63], [1, 46]]; loss = 0.015281 low_pass_filter = 0.300
+Epoch 0: | | 43659/? [7:38:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.0train step 43660; scene = ['ff3e826fadb9ecb1', '0637e12cbe3bf018', '8e17c90f00070f16', '964b86c3822c6381', '5cc6cd5366cbbe2b', 'b5bf6ea6e92669ef', '4f8a2a2eda771eb0', 'acb431ff8ce66742', '889067f102772c85', 'c0b57a0faa740fe3', '7dc5c394263df267', 'f52c70025f40e56d', 'de0c2fd682eedb42', '7efe572aca0b57ef', '1b585c8a5c9d0228', '871ec8d951a81c62']; context = [[25, 107], [2, 61], [88, 134], [2, 60], [8, 93], [4, 89], [3, 55], [42, 125], [72, 151], [112, 168], [153, 220], [69, 132], [112, 194], [38, 123], [2, 83], [55, 106]]; loss = 0.014422 low_pass_filter = 0.300
+Epoch 0: | | 43669/? [7:38:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 43670; scene = ['a03b1ac1710862b9', 'ed38782db0d369de', 'f656c8cb690eca24', '012f24ca4b69e4d8', '228f67bb3f7257e3', '9f11368d5c9314ca', '2a1e96e3617a107f', 'd43b3efae89891f6', '84492f306580629c', '34b4bcac2a2e9b60', '16010a67c32a20b6', 'b0f1e3bdd4f69eb8', 'ea55d305813d95ff', '3cc86b7a240d9487', 'f6e952caadc38b08', '0639d31adfd1c9ea']; context = [[25, 99], [50, 131], [4, 58], [28, 78], [37, 99], [81, 151], [56, 126], [12, 65], [0, 46], [73, 135], [10, 67], [13, 98], [0, 48], [108, 197], [100, 183], [45, 135]]; loss = 0.014630 low_pass_filter = 0.300
+Epoch 0: | | 43679/? [7:38:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 43680; scene = ['ebaffbbeb670c018', '101e1666f06f4c91', '88f3bb29650980dc', '0941d0d9626dc7cf', '92cdcb08c1d7ba0f', '535744bbfee17171', '16c025df4b96e4e5', '4d1d0bb5cd633595', '792b83f8c1394d2e', '75658e8027c86067', '43d6c0f25725e6cc', '226569acae0ad65f', '0a9dfffcef241987', '8939b98ed0a32929', 'b6a96ac39415c7eb', '4cc1fe94dc835080']; context = [[9, 67], [14, 77], [5, 51], [34, 99], [3, 73], [158, 227], [9, 56], [33, 93], [53, 129], [19, 68], [0, 45], [177, 244], [9, 82], [8, 95], [52, 104], [99, 185]]; loss = 0.013318 low_pass_filter = 0.300
+Epoch 0: | | 43689/? [7:38:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 43690; scene = ['4e66b9803173ed3d', '53dd8f88f5a8df75', '5671fc8bcb5c086b', '755a833b56e0f079', '5f6dff31cfdd1827', 'dde473074941ed5f', 'a7411d99c980c19b', 'c51f5219c3d09e33', '5747f4b140d83aa4', '48ea789ae4068f13', '87b4a6264698ec22', '5111c7e2b993a59c', 'b49c78c13682e129', '9b2f1df1f42e7f31', '9e9a9b3cc7ec467b', 'd22054ee05ceb5e3']; context = [[19, 88], [6, 93], [8, 59], [1, 80], [33, 110], [183, 233], [118, 191], [5, 72], [46, 103], [21, 105], [4, 86], [14, 95], [0, 78], [80, 138], [2, 89], [5, 51]]; loss = 0.018243 low_pass_filter = 0.300
+Epoch 0: | | 43699/? [7:39:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 43700; scene = ['372aaded63119658', 'a0dafac2946dbe6e', 'fd99ff534b6aa674', '8b1f0dd0d1c5b118', '608adb2a65c7e52b', '8f478c5923eb1553', '1b9a3a865fd6729f', 'c6a52e7103129e02', 'be494202e4c9b993', '0ba7834f81857ea0', 'faf629d360a6ca34', '3b46f7051f8f7435', '62fe323977f07a05', 'd963397c195c1af9', '305ee26dd52e6c47', '676a62bb7947d66c']; context = [[1, 47], [20, 82], [26, 92], [70, 148], [160, 210], [29, 96], [32, 116], [4, 83], [3, 92], [22, 67], [69, 115], [57, 121], [14, 82], [0, 63], [56, 126], [30, 85]]; loss = 0.013350 low_pass_filter = 0.300
+Epoch 0: | | 43709/? [7:39:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 43710; scene = ['650d86f52cef496a', '4ad4a325af74fc67', 'acf5faa0cd2dabdd', '43bb5f6926547aae', 'a06a60dbcb377f70', 'b61d2950c49d51f0', 'fbf755394908a06e', 'b7ba855b5c093e27', '5d592267ddeff6e0', '7f73204a26d771d5', '7da8c3e1bbb6b914', '302a6dcb001e5de1', '0f5a948ac70beed4', '9a409378244bbf35', 'a4123006741005b0', 'df17145f57c57d37']; context = [[119, 167], [191, 276], [7, 66], [52, 106], [11, 81], [34, 88], [58, 147], [26, 100], [28, 97], [0, 47], [0, 55], [13, 87], [31, 117], [56, 131], [0, 79], [0, 63]]; loss = 0.014114 low_pass_filter = 0.300
+Epoch 0: | | 43719/? [7:39:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 43720; scene = ['32d7ff686f72221e', '4414c58676c9952a', 'ea357cfdb1ebe90d', '506d1a24243d0c56', '0befde1c678b05de', '274fa63f8728b73b', 'a174fcb28a82f814', '9e8a3ff0ae41f210', 'c32b840fb71fca26', 'ac0e2fe64dd03fb3', 'a4c5e65a8a1fba1a', 'bd65472b54f34717', 'ebab476bb06eeeb0', 'a508ee63269e07be', '0674107d490c6586', 'c06dc1d24e73b1b6']; context = [[5, 58], [136, 192], [51, 104], [78, 142], [1, 61], [11, 94], [8, 65], [89, 167], [7, 64], [4, 58], [61, 138], [47, 119], [120, 210], [3, 61], [113, 191], [143, 190]]; loss = 0.013521 low_pass_filter = 0.300
+Epoch 0: | | 43729/? [7:39:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 43730; scene = ['44ca078432802942', 'fefbac7ae3dcaf5c', '586c40e55dd9917b', 'cd3f80e2f7a82583', '8b43bf4714cafd7c', 'b2002f67cd58c3f3', '5f204ad1cc82ddaf', 'c8be2a65ab3523bf', '18dff95c712c43cd', '1368397e2dcceed5', '6fd0a32acb5e9be2', '52353deaec940de4', 'c2c54fc36968cda8', 'cb737f7107cee760', '979258bec9c70a3a', '124e818bc6629165']; context = [[48, 137], [18, 71], [3, 75], [167, 221], [81, 170], [0, 55], [40, 103], [3, 50], [58, 111], [12, 57], [2, 72], [12, 72], [2, 64], [6, 74], [6, 65], [93, 182]]; loss = 0.013749 low_pass_filter = 0.300
+Epoch 0: | | 43739/? [7:39:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.80, train/active_min_children_step=1.0train step 43740; scene = ['8b9464ff35895e7a', '3f6f33974d5ad2aa', 'e3d77fe063b6c0ab', 'fdf4a5de2ae092dd', '14e67b1d5d58448a', 'fea1563243b60527', '266ae731dcd710d2', '8894baba5232b9e4', '20560c2074161402', '3bf7ec8cabfb9a14', 'f6e8af9548e8bae6', '9e9a957516c0d75c', '4cfab36d5c97fe3f', 'bbdb60e0097e9ced', '71de6eb329cc96bd', '7157a08b4d909e22']; context = [[13, 69], [4, 54], [51, 124], [4, 62], [0, 73], [47, 115], [72, 142], [12, 73], [126, 200], [7, 74], [33, 121], [2, 85], [43, 107], [122, 205], [2, 75], [27, 93]]; loss = 0.012986 low_pass_filter = 0.300
+Epoch 0: | | 43749/? [7:39:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 43750; scene = ['65c4fbae3daf2d8e', 'e772de3085cc5ddd', '794bdbdbe73ddbc1', 'ac4bb258d49d0f98', '16a7d92bd74000a1', '073b1b758d5b58a5', '999960df0bd1b66b', '17b59c28edfde65a', 'fcb56cad6e48c882', 'ed620e1c813d47b6', '49b45aa23911e0f2', 'bdd49bcddc2a23ad', '8b2c69b736f247cd', 'b16d01b150c3363e', '7ec761021eb0028b', '520223a8d5c06ae2']; context = [[22, 86], [9, 65], [17, 106], [3, 51], [42, 108], [1, 56], [3, 88], [8, 77], [15, 100], [0, 46], [1, 81], [17, 101], [19, 67], [0, 63], [9, 54], [25, 110]]; loss = 0.017412 low_pass_filter = 0.300
+Epoch 0: | | 43759/? [7:39:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 43760; scene = ['63256049c3a581d1', 'cb171c3ee0bb4bc7', '632fdd68fcdced28', '23e164d4f8460f5b', '70d878da47f984e4', 'be304be58881172b', '8fb8882b02bc63aa', '2d0c4b9d251f0ead', '3551465abdc1cb7a', '4aa62d0ae8cabf87', 'dc7a5ba3f90280f8', '8eed7c01c0f3ef97', '865591930d0627a1', 'ac996a63b23c9747', 'a8b0825608560062', 'd7ebd02f7393cb5d']; context = [[21, 69], [8, 58], [70, 156], [98, 158], [1, 57], [2, 53], [95, 154], [41, 114], [2, 51], [1, 77], [145, 218], [4, 54], [13, 85], [10, 88], [102, 186], [136, 193]]; loss = 0.013731 low_pass_filter = 0.300
+Epoch 0: | | 43769/? [7:39:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 43770; scene = ['df222036e9ce1b1b', '5f0abde967392b64', '2e7ce3e57bead424', 'd719013f6756802b', 'dec83e9b894e9d8c', 'c5e2876b5e0e7265', '8af8b514228fc5b1', '78d0ce3944e20e13', '8147b073803ed169', '840e6842fb5ba732', '37205c388a65d832', '16786b3b82992a6d', '905b8ce6244103e3', 'd3e9e885f06cf2d7', '370afce22c2aa02e', '694ab77e41cc7d03']; context = [[5, 59], [147, 209], [1, 80], [64, 154], [14, 79], [46, 93], [5, 95], [0, 67], [125, 190], [159, 221], [12, 59], [77, 155], [26, 91], [38, 107], [10, 97], [7, 72]]; loss = 0.016184 low_pass_filter = 0.300
+Epoch 0: | | 43779/? [7:39:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43780; scene = ['89b2c9e4a99b23ec', '6f5924539f3e8804', '87491783936d3687', 'c26b8903c5f2e18c', 'b3024d5eed3fc048', '6d11baba6b38174a', '6df21c9dc6f62fc8', 'f185b5c77db4e07f', 'c71549de92ecb2e4', '01eb06e5a91df1f4', 'bd7b4ace36548ded', 'aaadaa6f485d5d66', 'ee23489ab45a697d', '33e95d2c9b7b66da', '3a57d0ca627205cc', 'd27ac4acf45edf29']; context = [[7, 72], [1, 48], [19, 96], [97, 166], [3, 62], [3, 75], [3, 48], [2, 82], [12, 72], [20, 92], [40, 97], [127, 210], [77, 145], [9, 68], [2, 49], [9, 76]]; loss = 0.017779 low_pass_filter = 0.300
+Epoch 0: | | 43789/? [7:39:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 43790; scene = ['40da14eba717a7c9', '64fa28b2416a6a38', 'b1b8e8c88721bafc', 'c4005922f59686ae', 'ed8272185c1ac2e0', 'e32356ddcfb80246', '6a670e8f996bf9a7', '5c861a2c3f464ec7', 'ab682efb9603d299', '7b7ab8055e2b6414', '0fdfd4ac8f6dbde3', 'bcfc4f48363e77a3', 'eb1f1c19ddbc4144', '5bfeb0ed875d68e5', '7e46468597166826', '2d96d46235abbcd5']; context = [[143, 220], [9, 80], [40, 97], [33, 92], [69, 116], [16, 97], [42, 91], [17, 87], [9, 80], [55, 141], [86, 137], [4, 51], [19, 99], [17, 99], [10, 57], [24, 76]]; loss = 0.016621 low_pass_filter = 0.300
+Epoch 0: | | 43799/? [7:40:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 43800; scene = ['73999b595d1e78fd', 'd1daa71bff94be5d', 'ce94464d4c88de51', 'b6cf4496bb5499ef', 'f006719508cebf7d', 'ae53a2036d3f5c8d', '1b3384d62a30aaab', '43235339756dbb90', 'd90d586e3c0f5ae8', '05635d29fe78fb76', 'be1c22b859bf8522', '8cb801eb6e51f18c', '2be1f3954f50e41c', '85bbfc7c62a1dfef', 'f5d8f20ea08887df', 'fc5df043bffd0f14']; context = [[44, 132], [20, 86], [22, 98], [173, 237], [22, 91], [102, 183], [1, 78], [84, 133], [6, 68], [120, 176], [12, 84], [23, 77], [29, 90], [1, 51], [15, 70], [36, 124]]; loss = 0.012661 low_pass_filter = 0.300
+Epoch 0: | | 43809/? [7:40:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 43810; scene = ['51df571bb0616703', 'a00596889eff80ec', 'ec9f85b999210b88', '1c50722fddad9593', '28da1359e6e9937d', '4385a3b16d321702', '27b9b6d8520b476c', 'a0e621ae35148a18', 'f0680c43c5c34858', '11e65baf9b07535e', '615d2eda2a3d4f7b', '62ed93b209157a0e', 'f471211bbbc65a17', 'c97d905b9b4be11b', '4444717bbd6638d5', '4811d8b25548586e']; context = [[51, 140], [72, 137], [127, 214], [8, 75], [144, 220], [4, 56], [74, 152], [88, 148], [129, 176], [14, 101], [29, 77], [112, 195], [62, 122], [29, 101], [32, 97], [2, 80]]; loss = 0.013250 low_pass_filter = 0.300
+Epoch 0: | | 43819/? [7:40:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 43820; scene = ['02bb80a43e25989e', 'db6f388d9cf9da27', '5e00df3469fadafe', '1aa067875411b6fd', 'f1cbd0e2909c8ce7', 'a270004198eddd9b', '6a2a2ff9c392fefe', '6494828a237a7a69', '0762d4d82b19cc37', '22b1b9bebc0a0520', '64fe2e10e340ebc4', 'dbb7151643a69e0c', 'a5c9cbbc7e1d69a1', '1849a41079039a3a', '4a3ff4b7939ec268', '2c0939fba79df7ad']; context = [[110, 197], [3, 92], [48, 104], [64, 142], [36, 91], [81, 165], [3, 49], [18, 73], [21, 92], [5, 85], [6, 68], [110, 161], [17, 89], [19, 87], [44, 103], [87, 168]]; loss = 0.013363 low_pass_filter = 0.300
+Epoch 0: | | 43829/? [7:40:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 43830; scene = ['84669dc88abb2e9c', '56831578d232b718', 'adb394a7cad27fdc', '73b0f5e4d3c173f6', '184995ceac7aa6b7', '58e8e6dad2fdcfbf', 'c03f0fd23901bbda', 'c3278a0759c29f0b', '295bb11f848613c1', 'c4bf2152a0e7adaf', 'f247f6af52790472', '6c10df89a6e8c8c1', '6e951b0c5258f620', '2cd2aaca2b648073', 'a5c1c97ecddf796a', '2df4ff0b8a2d4ba1']; context = [[62, 130], [0, 48], [62, 119], [96, 175], [10, 69], [6, 56], [13, 76], [95, 150], [0, 45], [73, 132], [15, 72], [44, 111], [170, 250], [4, 73], [12, 96], [16, 100]]; loss = 0.014863 low_pass_filter = 0.300
+Epoch 0: | | 43839/? [7:40:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43840; scene = ['f5e3b37b1b2b5f62', '4599933ba9ddb585', '32701c869bd8dfb8', '5ee9b11a61c46984', '251b033c6bbb0256', '67144be03a04c9c9', 'ccda7bb9dfce5c1d', 'afc173cc0972dd2b', '27f19ffe2847912a', '08ec2a7f6781ccfe', '6597b7c578ddc529', '3eec00e2737a9285', 'f13f04fe296ed1b2', 'f682642ce3f20e85', 'a04522f8476deb96', '1f53342de1a0ff2d']; context = [[30, 88], [9, 83], [14, 92], [36, 116], [148, 216], [5, 57], [202, 255], [108, 177], [83, 134], [3, 57], [16, 66], [44, 103], [15, 87], [30, 115], [98, 165], [150, 234]]; loss = 0.013989 low_pass_filter = 0.300
+Epoch 0: | | 43849/? [7:40:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 43850; scene = ['91b147adad2393bb', 'a288aa4201b54228', 'c05986fca7a09265', 'f5fd4c9ccb08fa6e', 'e9b471036d4d32ee', 'ef5524c633cc7663', 'b5ad207c172544b4', '5393d8747f383c43', '6539a1c57c640f9c', '953004cab8791553', '3ec62fd89dfa182d', '95368421263dab32', '582179e6a58732db', 'a983f9bbf8f45e19', '349738c773f1af23', 'c5197c6f18fcfab7']; context = [[7, 76], [115, 197], [6, 93], [19, 107], [1, 49], [28, 79], [8, 94], [53, 114], [70, 125], [29, 109], [4, 56], [10, 57], [13, 81], [135, 205], [38, 95], [52, 142]]; loss = 0.014505 low_pass_filter = 0.300
+Epoch 0: | | 43859/? [7:40:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 43860; scene = ['c7645cce7e407723', 'a0514dbd97164249', '5b56bc954e1facf7', 'af8138fd057cb9ba', '58a0cb2ee7df863b', '0658339e887c406c', '30df33671d4fa936', 'a1f7291a315f869e', '6c297e82a6da2cc5', 'acd3ea4a1d05ab8d', 'f8323afafadbfbae', 'dfc6659f7454564e', '51a07a8cfd4f165a', '2da35e624f4b2008', 'e76013601fe2aa88', 'b1a6fe3f8ec01571']; context = [[0, 46], [177, 253], [19, 84], [66, 115], [33, 81], [37, 93], [90, 169], [28, 101], [137, 202], [65, 114], [26, 111], [65, 110], [45, 128], [5, 70], [90, 177], [56, 115]]; loss = 0.014766 low_pass_filter = 0.300
+Epoch 0: | | 43869/? [7:40:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 43870; scene = ['c8481d33beda214f', 'b2789c1a5c127a02', '6c8fe33163da0e0f', 'cd415af73e3aefbe', '01438569da2803c2', 'd5235962a9065594', '224f92dada695b8e', '8a53ce8ec1601e8e', 'f918fa4d93837316', '972be5d0267dea37', '42f231e9226b5764', '949f87419fa350eb', '2aacd794386dbdc3', 'f7f1d423eec13dac', '3a65f443bcc49c66', '30d346391c76430b']; context = [[15, 85], [11, 73], [33, 104], [48, 109], [52, 129], [84, 148], [202, 252], [39, 93], [8, 71], [31, 105], [15, 74], [49, 109], [47, 114], [3, 62], [26, 81], [3, 81]]; loss = 0.015476 low_pass_filter = 0.300
+Epoch 0: | | 43879/? [7:40:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 43880; scene = ['4b148538b0785a5a', 'dec8847e03333be3', '4a640e2c24d90419', '338ce7509f071f4a', 'aa1fd4353ae6a597', '012122018a5c884c', '580bbe2141b9e6e2', '775b82d34796713a', 'b23d97a750c719ee', '188eb86b0baa1531', 'cddfc6c058e71e3f', '01be2faf3261e83d', '8dacc35b7b5d37a1', 'b63c52ba4af6aebe', '44004c8f6251e0df', '837ffa70d906619c']; context = [[10, 98], [106, 180], [2, 48], [11, 81], [14, 59], [22, 85], [12, 63], [67, 117], [18, 69], [13, 102], [107, 195], [105, 195], [17, 66], [0, 45], [100, 163], [15, 82]]; loss = 0.015454 low_pass_filter = 0.300
+Epoch 0: | | 43889/? [7:41:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 43890; scene = ['1b449c2b2ba10206', '051733e382609350', '5dcf8e4b8aa7016f', 'a40627dd8a2d655e', '711034bf4923bb96', '4277f29e70ca77ae', '1db656924dd94e45', '5f53273e365f8b6c', '2d52f8760e25680f', 'b779e1e2005f2fe9', 'e84cd5fe5f7314ad', '146bae64f879b134', '2855efbe48260b09', '9d54b3b624d9b66f', 'bd350836c05db281', 'b0b5b54c3e1f9290']; context = [[66, 147], [18, 85], [6, 64], [31, 78], [4, 53], [2, 48], [3, 70], [30, 110], [4, 53], [63, 149], [32, 116], [141, 201], [5, 73], [24, 110], [3, 51], [10, 82]]; loss = 0.016389 low_pass_filter = 0.300
+Epoch 0: | | 43899/? [7:41:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 43900; scene = ['40801df8576367af', 'c79896b4ed843482', '9bb61a9d88d791f9', 'a5de552e69fbce79', '3e648c40cea30c08', 'd184f1d7b220e094', 'd47e75b15999fbdf', 'c305cf91570deb82', '302dce331d4fae7f', '33fce97957833b09', '25a8748755829478', '801eb4d39eae507d', '3f46d18800b31883', 'c95e9f2c9f8fbcab', 'f70e634ec33f861e', '5dc0767d6e6c8307']; context = [[10, 74], [10, 66], [228, 275], [65, 127], [40, 109], [55, 125], [42, 108], [51, 132], [72, 139], [0, 90], [26, 75], [5, 66], [53, 113], [3, 50], [1, 73], [182, 249]]; loss = 0.014925 low_pass_filter = 0.300
+Epoch 0: | | 43909/? [7:41:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 43910; scene = ['738ea97b91ab1d52', 'a9f1c9d9bc9bdf0b', '14f68c00678fdacc', '786cc15dbe60b001', 'da3f458e49c442bb', 'f7a74e0520117195', '277a96ce456580f4', '71f2a56f5807d8cd', '94841d39236a40ee', '6c24f4a41780d884', '3d7dfcfce85588a6', '1e464d7d6edb8441', '78729dc7fc839286', '970c8ab96a42388c', '46eb8491db9e7139', '1e10b26e9ebd03f3']; context = [[102, 167], [13, 103], [3, 48], [172, 223], [0, 68], [1, 80], [4, 94], [12, 81], [40, 85], [55, 123], [23, 73], [25, 108], [18, 66], [11, 60], [14, 65], [173, 257]]; loss = 0.012542 low_pass_filter = 0.300
+Epoch 0: | | 43919/? [7:41:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 43920; scene = ['eaf7c66419fde6ad', 'dde547bc5456fdcd', '96e895a56fe2a34e', '7d9f0a9a5c3551e2', '64199c57dfb3dc4e', 'fe002afe708218f0', 'db4eeb3ee86db4a7', '9c48a63d9d87d2bd', '628757b43a1dfdde', 'cf236c29a388be5f', '3d5f656be5d6a6df', '72ed5a51f576f4f8', 'd8e9bb78c5fb7247', '88c05f87ababd148', '37988bfce7be3233', 'feb2417bda461d88']; context = [[12, 71], [0, 54], [4, 73], [17, 103], [5, 94], [7, 76], [24, 72], [57, 142], [30, 80], [134, 211], [23, 72], [36, 98], [5, 71], [0, 60], [178, 248], [203, 271]]; loss = 0.016028 low_pass_filter = 0.300
+Epoch 0: | | 43929/? [7:41:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 43930; scene = ['13fb6dfffa691232', '5ee9ae62ea4d6cb6', '2b429b35c3c77565', 'b26cc189b1de68ef', 'cee85cd29d8808d6', 'f5f030f093af6b26', '401392cb1a6898f4', 'eff245c03781d479', 'b398f61acb18025c', 'e05b95578c4c14d1', '080d56120107ef6c', 'bea6fbb680b7dc9c', 'a725e2994ee82004', 'e1e6a57412c525ae', 'd0a4631fc857ab8a', '69d344c94d10cb8f']; context = [[3, 61], [3, 84], [6, 86], [14, 66], [25, 98], [60, 127], [138, 225], [0, 59], [37, 113], [88, 138], [188, 272], [59, 138], [6, 84], [5, 61], [200, 246], [33, 97]]; loss = 0.014318 low_pass_filter = 0.300
+Epoch 0: | | 43939/? [7:41:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 43940; scene = ['3061dd6569af7ef4', '3608f1d16a591c54', '5c0035d7237bf784', '1dae541a36d32e0c', 'a8b78c0dcd5a10dd', 'e0eec6e1d1b30f19', 'ee74691f92b13a07', '3ceafda325ca5d89', 'cb8d6f52af9edd41', '72606e5ffcbe0bac', '7b58cbb80da4b748', 'b514b294a14bbd20', 'ac969b1d59f92c91', '2a85d99ac9390dff', 'c8425a24b08f015a', '9320c5717e2bf1ea']; context = [[61, 127], [139, 218], [111, 175], [16, 84], [4, 50], [54, 131], [19, 88], [132, 221], [4, 49], [95, 179], [4, 87], [14, 78], [31, 101], [113, 190], [77, 132], [18, 105]]; loss = 0.018836 low_pass_filter = 0.300
+Epoch 0: | | 43949/? [7:41:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 43950; scene = ['e849fe1abcb6c5f3', '31d672601ff1f028', '197ed0207faf3ae5', '717f029214012463', 'f735bb6df81d4612', 'e2895860908e4a33', 'e4af493e61f89b51', 'bfeb9e20cca0c595', '191e4379251a71d5', 'd13baf90bc0348d2', 'e01bcf87482b0b97', '38b3cafdb514df0b', 'a3ad6513bd000d35', '2f6d9c4c78578af8', '71678161fc3a515c', '540c39c82ee55c99']; context = [[56, 138], [41, 94], [9, 54], [112, 198], [41, 124], [165, 211], [0, 68], [11, 85], [1, 72], [162, 251], [48, 134], [137, 223], [10, 88], [0, 64], [54, 134], [13, 63]]; loss = 0.039716 low_pass_filter = 0.300
+Epoch 0: | | 43959/? [7:41:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 43960; scene = ['21f7836feb1b242b', 'aa4d43d0475497fd', '24dc1ce125c61981', '2345c1b970fc7ed4', '666f5a578d31281f', 'b5704443d4b5ce04', '8d802f615e1d7cd7', '50efd0e453568e13', '5a845bcedea8b147', 'd3de86460a44d56c', '1163ef0ceeaa9db6', '542fb98f0969665f', '05142a00b6495a1f', '0afbf5586a236b5a', 'c5f6a81e25ff39bc', '05020738c0f0f4a6']; context = [[25, 108], [18, 92], [2, 61], [9, 59], [5, 53], [32, 110], [23, 106], [18, 89], [8, 77], [58, 115], [101, 148], [36, 98], [5, 75], [1, 87], [48, 102], [0, 45]]; loss = 0.013289 low_pass_filter = 0.300
+Epoch 0: | | 43969/? [7:41:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 43970; scene = ['22aaa7d6980b7c1d', '0a1abaa6ea233a54', 'ebe21549c614d5e2', 'e5a612f26db49308', 'e0a88916f5977690', 'e7bc763f52f6d941', '3e07ac19a6be1efd', 'e6683441e899b7ad', 'a1d8ab6deefc971a', '343a4e21bc309742', 'c73d3bd74c1973fe', '8d96b0810c1474f0', 'ba9c1f1d7b31aa0c', '7dc497c9d9fc9dbe', '4ff8fc575fe16b3e', 'dadb696f8b71f41c']; context = [[4, 53], [47, 100], [69, 116], [203, 248], [20, 91], [7, 73], [0, 82], [16, 79], [40, 100], [101, 181], [28, 75], [89, 135], [3, 73], [7, 67], [102, 174], [118, 192]]; loss = 0.012877 low_pass_filter = 0.300
+Epoch 0: | | 43979/? [7:42:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 43980; scene = ['a4f278a88650c331', '10c8a3c07c9565b9', '22edf9279359ca32', 'cb2b368e1872f0fb', 'b0a37b9cfe759de1', '61cdbe0f820614ee', '192bc7d63e77a5c3', 'd23b108e840951a1', '357d019a023312c7', '23ff196c6b113c98', '44b340e3529d5406', '2297175d2417198a', 'fec56e270756abde', 'ccf979a89967562e', '9c086d61e7ef8fb3', 'a7b2e17efaec7c59']; context = [[22, 75], [133, 212], [101, 148], [10, 99], [3, 90], [127, 193], [5, 87], [93, 151], [21, 87], [0, 62], [11, 58], [45, 111], [3, 61], [5, 52], [6, 63], [110, 163]]; loss = 0.015010 low_pass_filter = 0.300
+Epoch 0: | | 43989/? [7:42:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 43990; scene = ['3bb54d65291fd396', '251522536184bbb1', 'af96623802f4dddb', 'c7f3ba9289f424d4', '9e3c6f6868453f09', 'fc91f4cded72d92e', 'f765a2b14a33fffe', '41169f2c39edf539', '7fe2b466e98518a3', 'abd404032954ee04', 'cd1a8676555704d1', 'a54c7a2b9fbf4dd6', '16f6aa5fc0f28551', '2063a1eaa3f63227', '885ae680bb5ea997', '441fb31750988576']; context = [[99, 174], [60, 105], [80, 132], [101, 181], [36, 116], [148, 205], [20, 92], [36, 105], [32, 97], [1, 51], [1, 75], [16, 69], [111, 171], [11, 90], [1, 53], [7, 83]]; loss = 0.013841 low_pass_filter = 0.300
+Epoch 0: | | 43999/? [7:42:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 44000; scene = ['6a8649c12f74db20', 'be414fc8a382334d', 'adebe02303ab2e6c', '8af368949983a521', '7b9b7003ec4e78a5', '8e1d14eee9286097', 'a8bdfed1dca087ef', '17de26112944192a', 'ef640b2f20e99e16', '1f0fa5402763bb4e', '466a137cf7c24cee', '58cadab07998fe5f', '7dfe94c7f896530a', '5b8976bf2748f77c', '676a62bb7947d66c', '4558a4e86660273a']; context = [[11, 82], [59, 111], [121, 176], [1, 72], [73, 139], [65, 117], [2, 52], [45, 96], [23, 90], [53, 141], [68, 143], [58, 106], [158, 209], [164, 215], [3, 84], [10, 99]]; loss = 0.015473 low_pass_filter = 0.300
+Epoch 0: | | 44000/? [7:42:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0validation step 44000; scene = ['8ef819594522ae8a']; context = [[2, 71]]
+Epoch 0: | | 44009/? [7:42:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 44010; scene = ['1cca22feb5458699', '47c9860050e484ab', '67f6ef3eade2587f', '134d050f6364a563', '797250cf959f446b', 'dc7ff267b7c225e3', 'a5883d60c2773af1', '7dcc55ff7d4a98be', '4c37b39bd97d919f', '51e41edce96d427c', 'cbb11d0f9fa84831', '2b5bbb990486a80d', '9f2e1f958002492d', '29bce8d143d78ce1', '1de01827dd5f9db3', 'a82eadab7b5b93f3']; context = [[40, 89], [8, 72], [0, 77], [0, 45], [70, 153], [6, 58], [5, 93], [60, 136], [9, 74], [150, 205], [97, 143], [39, 98], [6, 89], [15, 88], [5, 52], [7, 83]]; loss = 0.012391 low_pass_filter = 0.300
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 44019/? [7:42:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 44020; scene = ['a0883fd11d656ac5', '2df83aef6a375147', 'a841ed546586950a', '11e8a47afc86d430', '7fc375752c2540e3', '9fde98805690a4e5', '9d8f15ce70d28c75', 'd1745734b7683765', '34a078ef5d1d63ed', '672a78576696f16e', '35f1351a55e2e95d', '51f52754331b5f78', 'eacdc80651280983', '485cf8f38eeb3c39', '20a8ab29fe0fad01', '4cbc8aa0b70db3bf']; context = [[171, 225], [1, 47], [96, 167], [91, 146], [58, 120], [180, 267], [35, 87], [4, 59], [2, 55], [150, 240], [30, 93], [3, 51], [4, 94], [3, 59], [5, 68], [5, 63]]; loss = 0.012873 low_pass_filter = 0.300
+Epoch 0: | | 44029/? [7:42:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 44030; scene = ['29f66f7d00d5a958', '8410b8c23b2c737d', 'a07cd9102956df5c', '5792c9e2e44b905f', 'ab11edbcde7de99d', 'a50b756fe602d465', '5f9a86b7e44253fe', '0e6672c62a9100de', '4bb2c640159a3265', 'dd6c60a1cdf29b78', '1d66813a86fe0c17', 'b818d1ecf495afe1', '31e3f6fe7dedfb1b', 'bab67c28f4d7c51d', '384a13e1cf19daaf', 'a66645498ef9d1cb']; context = [[101, 160], [13, 69], [18, 80], [6, 72], [7, 74], [192, 254], [14, 92], [51, 120], [18, 67], [1, 65], [31, 100], [5, 80], [60, 143], [0, 76], [23, 95], [12, 82]]; loss = 0.014073 low_pass_filter = 0.300
+Epoch 0: | | 44039/? [7:42:39<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 44040; scene = ['48a50d0f74caf769', 'd61463c6e6ab564d', 'c2a55fadbc223eca', '7a351f1909e3dd20', 'f5a94bb660770811', 'a93c30c6e2da0379', 'a1bbcf689b68225e', '6f3ee9824982fdcd', '46593f269a725e81', '13e44fc7d4a97f6f', 'cbcd1280b8cf3549', '8a730e0d13123c34', 'c70d3152f917cb10', '4ed9431ead540c2e', '1456ee4280583260', 'cb8269f4a827fd42']; context = [[0, 59], [27, 95], [2, 77], [22, 96], [1, 70], [8, 57], [10, 65], [99, 153], [10, 80], [8, 97], [70, 146], [153, 207], [56, 123], [18, 70], [6, 73], [90, 135]]; loss = 0.013934 low_pass_filter = 0.300
+Epoch 0: | | 44049/? [7:42:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 44050; scene = ['16af2b590367a485', 'c61b981dbf13061f', '3cbf8cd5a0942182', 'b3bcd04c589274ad', 'fa9ceb9287bcad19', '5a71e24754ea107c', '2a5dc81550340f67', '784279860f251724', '1cfc5fe62ca5877e', 'f93670c72163c7f5', '602ca1341a14bc28', 'e51c391ea5baebec', '25ea8df146574b53', 'a67229c34e33f896', 'a316eb155d7e477c', '54c42ebf9c2e8c6a']; context = [[14, 80], [9, 78], [140, 188], [10, 75], [71, 156], [14, 61], [5, 86], [97, 181], [34, 82], [119, 177], [0, 66], [46, 128], [9, 68], [7, 62], [178, 249], [17, 107]]; loss = 0.012547 low_pass_filter = 0.300
+Epoch 0: | | 44059/? [7:42:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 44060; scene = ['bcb35fbe47324395', '4e4bd2a7244f34b6', '8195e86be5549d7f', '0e10db62c44b48ba', '6a40b490a091c77b', '11112d5aeab31689', '65dc8616fdde3ea8', 'bcba9e739eeb3c1b', '2972a48deb0c801a', '5387ea1020469345', '1182d7d1c0cbff1e', 'd49c1d10428b3d70', '4d6a1bf4c39100f7', '0c7d36ad5763c797', '964a7d0c80ea431f', '209188b1da3526c6']; context = [[1, 52], [43, 90], [4, 52], [51, 110], [76, 129], [4, 51], [5, 75], [89, 143], [13, 67], [0, 45], [8, 91], [49, 127], [2, 47], [21, 104], [212, 264], [2, 47]]; loss = 0.013002 low_pass_filter = 0.300
+Epoch 0: | | 44069/? [7:42:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 44070; scene = ['2f42d8f78b745b8f', 'aef1e4297d457ad0', '7b026e9cc2809b23', 'e72a841fa01591ee', '8960d6b0b7c62066', '8bff83ff7b1d25e9', 'c572ac3284157a08', '76d477e0f4218735', '0b3a9c304d2aca3d', '6535abc5fdb5b232', '3691359ea56c00a9', '2ba4d5c0fdbbb755', 'e02e0c84614d4150', 'a1194953642b874f', '8aa531490595fc1b', '084d516d1d8aed07']; context = [[80, 147], [21, 68], [15, 76], [165, 245], [23, 69], [3, 64], [4, 85], [1, 84], [173, 255], [30, 81], [0, 48], [38, 90], [14, 82], [1, 84], [7, 77], [45, 119]]; loss = 0.016653 low_pass_filter = 0.300
+Epoch 0: | | 44079/? [7:43:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44080; scene = ['0c7f4298ec3f892e', '5d250a0bdaee3653', 'a55c5825e25b380a', '97e66229327692ad', '203dcb5778d83f66', '8be4cc3c5d1ecc42', '4fc6848542c0dd7c', 'd7fa9860667bd9b9', '69dd3eb18ff7a838', '9007b3ae76d7a762', '2ef7b8e6a0602913', 'ace591a332a2780c', '6ef51b06550c0d9a', 'bf37156b4d92c7f2', '99842c7b205bdf8d', '74224d25c8e85b39']; context = [[123, 193], [12, 81], [9, 97], [27, 73], [12, 86], [72, 122], [4, 65], [162, 242], [110, 172], [97, 177], [47, 134], [98, 150], [17, 68], [73, 129], [60, 113], [79, 164]]; loss = 0.016382 low_pass_filter = 0.300
+Epoch 0: | | 44089/? [7:43:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 44090; scene = ['890635fa99c4db16', '408d728092a85206', '864ec51fe90f8721', '20870f2c8b82fbce', '97c6ffa79976fc37', 'd0b10e9459212e60', 'bb0b21a3141a85b7', 'c43bc5983d7f39dd', 'e0ccacbc090d7683', 'ce2311f4841f6a2a', 'c81f122ec9f9771b', '37ce659bf67aab5c', '47d29dd9a8ffabfe', 'fc9aad400e937eb0', '651138f67c6d6b41', '303ad82c328dbb2a']; context = [[12, 80], [46, 113], [99, 148], [1, 55], [72, 129], [21, 92], [27, 74], [3, 82], [19, 83], [0, 45], [60, 147], [2, 64], [103, 180], [20, 79], [22, 80], [107, 155]]; loss = 0.016160 low_pass_filter = 0.300
+Epoch 0: | | 44099/? [7:43:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 44100; scene = ['3fa09b493236b1be', 'c7eb0f11acbee2b1', '4ba775154ed5f451', 'bcf339b753e90045', 'e898b01ab419c02a', 'e257408aebee8296', 'ef7412f29ac99051', 'e78ea0051cdfb8a2', '636dc42413fab3de', '7ce03a48c280ca1f', '869e4027ee7764a3', 'f33e09c013e5dc21', '1e2602930aba2625', '399cafe233afe35b', '98ef68c4851639ba', '17a3b2973ac260d8']; context = [[128, 183], [4, 90], [91, 140], [85, 138], [3, 62], [13, 77], [8, 57], [57, 112], [36, 125], [23, 84], [29, 118], [1, 54], [12, 69], [6, 75], [7, 89], [128, 196]]; loss = 0.018616 low_pass_filter = 0.300
+Epoch 0: | | 44109/? [7:43:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 44110; scene = ['c1a2f4b74be3af7f', '6ea74667405e5d34', 'a146e529fe29351c', 'b80411109ad427b9', '496f88184a96ed20', 'f2b4a95d85794e10', '52e151715801a63b', '4df1bd8504fdc8c8', 'cc41db844962d020', 'd6cc1a3af543a7f8', 'db1a7cc25841ace2', 'f150a1954377bec6', '161ac23fc7202698', '4b7f3f58b0838d38', 'bf44ecdafd3fc91b', '1db7b91f8baf3aad']; context = [[22, 110], [11, 70], [110, 187], [33, 102], [24, 75], [95, 185], [36, 100], [1, 66], [32, 95], [0, 76], [54, 126], [3, 73], [6, 80], [186, 242], [96, 163], [196, 274]]; loss = 0.012838 low_pass_filter = 0.300
+Epoch 0: | | 44119/? [7:43:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 44120; scene = ['db3058d1829eae91', '9f7c4b5ca8ee797b', '1854c5b25a877126', '8ec332f20bf0f742', 'e88d6bc783b9c74a', '1938b4028f35687f', '762ad6d312cd07b9', '82657a45e8659c6f', 'e4d86068c95e0922', '9a89163b62f0a058', 'fe8c395dd70d4844', 'c35de22a7238f9a5', 'b0f5b20c5724e592', '5e916cc9972aa61b', '31411305ea3662c6', 'e5ff0b9f6a05d582']; context = [[5, 62], [10, 62], [71, 158], [9, 62], [6, 72], [20, 72], [3, 53], [1, 58], [46, 99], [72, 148], [103, 158], [18, 90], [0, 90], [161, 250], [114, 167], [22, 107]]; loss = 0.013363 low_pass_filter = 0.300
+Epoch 0: | | 44129/? [7:43:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 44130; scene = ['21fbf47a07583ef0', '56d278fccc3262a2', '54611c559b51c587', 'fd3b8c9110472be6', 'aae58f49c4e7adb1', '164d8c162b3380cc', 'cc70fe54f91b62f2', '1dfd45ae5fde116c', '6bcfad17928a7596', '7bc6193e511cc112', 'd5cb4b22561d402b', 'c896b9790d75ba5f', 'fd425ce849268367', '3f2eedb19a6a4126', 'e86d7387e9d627c0', '5c3edf95e971e6a1']; context = [[180, 254], [0, 47], [8, 59], [221, 271], [48, 113], [106, 175], [2, 87], [0, 54], [13, 61], [110, 173], [71, 156], [74, 146], [53, 103], [4, 89], [132, 207], [120, 170]]; loss = 0.019405 low_pass_filter = 0.300
+Epoch 0: | | 44139/? [7:43:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 44140; scene = ['b416246bd5fc5f87', '6f3fc6900ed0a7d9', 'f8e1c32284e7c88b', 'be1727230db6ce6e', '1e8650f2ad2469bb', 'f11fe1599236dd8c', 'bb1ac7a3352f5a4c', '6aac614c1b641318', '78abe4c6652298aa', 'b8faf6ebebb2857c', '4891029da61b40cd', '27e52aabfbeab302', 'c59b6b514b506abc', '86f7033244bf67af', '457b960b904a9595', 'b6af041c4c29f066']; context = [[31, 96], [3, 74], [23, 71], [1, 77], [13, 66], [8, 75], [1, 89], [47, 132], [53, 111], [2, 70], [9, 73], [10, 76], [47, 121], [4, 88], [159, 238], [0, 65]]; loss = 0.015485 low_pass_filter = 0.300
+Epoch 0: | | 44149/? [7:43:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.0train step 44150; scene = ['5d38403bfc1e7822', '8fc6704ed8465c3f', 'bdb3cfd2caf40d2c', '2e3b7c0955984c0b', 'b7edd79abf6abf18', '4697c4de453f4c04', 'ee09ae34a0720fac', 'bce3c137c2effa16', 'f8186b350aaa2775', '80773003e0a7eac2', '1a7204b603b0c765', '43b6772d1f71154c', '5f488b72ead7bb74', '09e5d6b70f63b936', 'f914acd76dc2439c', 'c5ce4146d1b806f2']; context = [[14, 65], [39, 102], [19, 93], [67, 130], [1, 50], [32, 82], [7, 53], [6, 63], [43, 100], [34, 114], [15, 69], [2, 83], [76, 124], [26, 97], [4, 63], [32, 78]]; loss = 0.016322 low_pass_filter = 0.300
+Epoch 0: | | 44159/? [7:43:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 44160; scene = ['5b0b61c88d637d44', 'ab47a8cacd5a8c5b', '30dfb144a4cecdc3', '0238a81e9b06b43d', '1ce801ff18c89317', 'fbf477cf0b0e6624', 'aebfe0f3df7f20ea', '7f1a1335ce6a370a', '8317a2305e9a91dd', '97afea72df28d768', 'c532f09e915d3783', '59993dc86213ccc3', '7c5164d0bd0c932a', '07f6c4a1f6151dca', 'a0438ace9b7619cf', 'f54731b471e7b2e5']; context = [[8, 62], [17, 66], [174, 263], [16, 70], [25, 71], [17, 88], [60, 136], [125, 192], [1, 81], [49, 131], [10, 100], [144, 215], [97, 149], [106, 185], [5, 86], [33, 122]]; loss = 0.012663 low_pass_filter = 0.300
+Epoch 0: | | 44169/? [7:44:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 44170; scene = ['3f8869210121fd87', '547dff5661bc0b90', '06a18f40b9774dc5', 'c63627e00779ea61', 'e275ebdd238e485b', '017517c688f46265', 'a16193833911a116', '3bfb96911971e0e3', 'dffb735dc55b4f48', 'e9668cfb7fbd0f26', '3f60d2fb2f2c2166', 'e35b0a6ca3c7e70c', '5463ec4fc5c12f2e', '20a63ccab4351b9c', 'c1a0e9ec715aaf03', 'd26f9c244d1d7ce5']; context = [[5, 72], [27, 94], [93, 177], [173, 250], [9, 75], [37, 97], [2, 58], [21, 72], [0, 52], [34, 79], [16, 70], [19, 78], [15, 105], [53, 140], [201, 277], [0, 78]]; loss = 0.014754 low_pass_filter = 0.300
+Epoch 0: | | 44179/? [7:44:08<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 44180; scene = ['dd0858e9a430e078', 'efa93964d2bf6c93', '7e934c4d5fc1df83', '32b6c71b6f77de55', 'bb379f6aaa065c43', 'ad451c8543401036', '8b684380336d7b11', '48a2cb07686cb7d0', '98a805938208ce42', '4d3305c36130f0cf', 'ec79c7bfb5e679dc', '7d9badc36b36c42a', '1e5e29d1878127f6', '9400cef95716ea17', 'cd7a270da6f6da4a', 'f6d48213ef0665a5']; context = [[75, 127], [2, 61], [14, 59], [197, 256], [157, 213], [90, 147], [9, 71], [111, 179], [2, 48], [14, 66], [88, 163], [8, 80], [37, 91], [51, 113], [6, 94], [0, 80]]; loss = 0.015259 low_pass_filter = 0.300
+Epoch 0: | | 44189/? [7:44:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 44190; scene = ['dd3c91a3d91bb3ef', '0b78a91de3da107d', 'e0bc3ae8b197bd60', '104b9ff7916ce898', '77be195abbf64956', '3120f0ecd82a015e', '91d9582339065651', 'ee792446c602a13f', '7c2c4da050255c1d', '4f5e6afb29b301dc', '53cd5f892f00ce45', '9632d39d8a42eb51', 'e529bf6002213923', '147e4f3e5f03f3d4', 'edb4dc387938a7d6', '8a25e72ba8812563']; context = [[25, 87], [2, 60], [14, 83], [208, 254], [44, 102], [57, 111], [4, 49], [42, 102], [6, 54], [24, 79], [223, 277], [4, 88], [116, 161], [50, 106], [2, 86], [28, 74]]; loss = 0.014800 low_pass_filter = 0.300
+Epoch 0: | | 44199/? [7:44:21<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 44200; scene = ['09772eae485e6dda', '82f66287d5395dcb', '0655e66efc0c661a', '711eab9d5fe0dfbb', 'c8e2e5dc5a80dc4c', 'c835a755c41434e2', '002554f1f92ac083', '2199b087ed01db7b', '06cc8fa2360b66f7', 'b1c83e9447335963', '2ce0e9269078c3a4', '70a833fc4f7bfcf4', '7a6869cb55388541', 'f8a2fd8db81f71b2', '7436df852025cdda', '125b8d9c4d67f6c5']; context = [[0, 46], [5, 64], [77, 133], [65, 154], [45, 116], [32, 83], [1, 78], [68, 116], [24, 81], [2, 57], [7, 71], [20, 77], [23, 111], [35, 87], [12, 100], [60, 124]]; loss = 0.017270 low_pass_filter = 0.300
+Epoch 0: | | 44209/? [7:44:27<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.90, train/active_min_children_step=1.0train step 44210; scene = ['6b92ef0308e73624', '86df32d875423029', '67109d04207dc5e0', '45ce6645effd86a4', 'bdebb67214315ba5', '882a4bb1c3ff5449', '7a95da094a319443', 'bfbe0936c45a6877', '191836b21424305c', 'f287b42b0894a220', 'ffa7629718374e7a', '627b0865de219721', 'c5584bf72d124d9d', 'bdf3783c8da8d447', '78a509119f9abde1', 'e834fab2208f1db4']; context = [[83, 151], [10, 81], [5, 76], [88, 145], [146, 198], [2, 59], [99, 160], [22, 86], [1, 62], [65, 144], [33, 107], [17, 76], [58, 123], [110, 165], [5, 62], [46, 99]]; loss = 0.013950 low_pass_filter = 0.300
+Epoch 0: | | 44219/? [7:44:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 44220; scene = ['9e739ec1a8c7aece', 'ffb0ecd62200e136', '3da6288178379844', 'eded4879ddc96512', '3da55d8ed062a216', '5cf4f1212887192b', '7832240d2e89f668', '1289979759f39b33', 'a1d9d5268b9a4bc1', 'f4cf49d53bcac055', 'b870f909bd8c3adf', 'c33de464f5275ebc', 'c75f1772e4e25c60', 'a0182c984159affd', 'f858bbe10bb43712', 'da96d2f330455022']; context = [[11, 66], [9, 98], [58, 127], [6, 83], [16, 66], [87, 161], [8, 62], [89, 145], [9, 65], [45, 95], [63, 136], [3, 51], [40, 113], [22, 74], [21, 108], [106, 166]]; loss = 0.012986 low_pass_filter = 0.300
+Epoch 0: | | 44229/? [7:44:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 44230; scene = ['b0fdd7634bc50a1a', '40eeb4602dccc097', '3a35983802667459', '48f532b78845c6d4', 'cf8653d94cf8dc19', '8cdb8f46a81be582', '73d0cc9f88dd47a4', '926a4f3af9386f6a', 'cb17460c2a53d3d3', '51e7e2abc42fff2f', 'acc04053479de7b6', 'e567c08401dda8a7', 'f6eb748a01065695', '313139806de65869', 'e9e020c514404b0c', '86cfe990f194bb9f']; context = [[12, 96], [46, 94], [28, 81], [9, 82], [32, 103], [130, 206], [29, 81], [2, 52], [75, 134], [0, 79], [30, 96], [14, 63], [15, 61], [0, 68], [11, 63], [1, 74]]; loss = 0.011578 low_pass_filter = 0.300
+Epoch 0: | | 44239/? [7:44:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 44240; scene = ['be24fb667f3616bd', '6f31ea1e9dfcc997', 'e7b8216ada4c704f', 'e902702e1098b955', '04d916b2c5f89d7a', '2300a4ed4fd9f835', '28deb9590a567599', '3d47cc64aa87a00a', '33f3de3604116aaa', '718526f20251ce53', '763c81a76b7c8e9b', 'cff3e7fe8d73b11c', '05bb0cbce2198e49', 'b1ea83064d6ab35c', 'ce05a150b9a8cab9', 'edbb316836fa5745']; context = [[49, 103], [4, 59], [74, 134], [2, 48], [226, 274], [55, 130], [48, 105], [9, 61], [52, 141], [38, 84], [10, 77], [148, 238], [109, 167], [41, 116], [205, 270], [3, 63]]; loss = 0.013473 low_pass_filter = 0.300
+Epoch 0: | | 44249/? [7:44:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.0train step 44250; scene = ['359b204bba293f5d', '0d6138b694fccd7f', 'd48470f7af2792bb', '1cb36e4866699d3c', '9a459290fa63b082', 'd0ba2deef24520ad', 'ce0cd3c8e12a97cc', '085f19c63c2fd05b', '392f02ff93eed5a7', '246e565e2c905720', '8663a913aa496524', '6271f6262bfc9913', '546fc1cd696d81f1', 'aec1f5de5391a65b', 'ea090263b598c06b', 'bbabc35c62bf6c42']; context = [[5, 76], [0, 79], [65, 112], [0, 64], [75, 148], [15, 88], [6, 53], [31, 78], [181, 244], [45, 110], [59, 110], [9, 71], [5, 82], [37, 120], [1, 68], [85, 140]]; loss = 0.013269 low_pass_filter = 0.300
+Epoch 0: | | 44259/? [7:44:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 44260; scene = ['0823531fac97d9c8', 'f460c75ce0bd6969', 'f3e22bd30457802b', 'f75167ab4259531e', '71647381f3483fa3', '15aae076b5f915de', '616731b2df2965c9', '240b8f2b7b0b80e6', '9846f3379c2b8fad', '75b018db77600c92', '102129b793ab2c03', 'd94eba604f88e9c3', '882182e89dd66eed', '1fb9683df0428231', '486b548dfacda9fa', '8b51e270df0c9284']; context = [[2, 69], [22, 72], [0, 86], [7, 78], [7, 53], [14, 61], [63, 135], [14, 70], [6, 64], [9, 56], [6, 70], [16, 97], [12, 69], [4, 84], [2, 69], [0, 52]]; loss = 0.012460 low_pass_filter = 0.300
+Epoch 0: | | 44269/? [7:45:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 44270; scene = ['7d9f0a9a5c3551e2', '1c92d53dec160984', 'da4f6bfe896bf2fe', 'eaf7c66419fde6ad', '88938961b84f2cd7', '5036537ac2e39315', '96e895a56fe2a34e', '05661e760ecdfa96', '8f51811a81f8b55f', 'ba9bac4198a51d76', '0ccabf0584abab5e', '0791565c804cb1b6', '2b9b02cf71e77d10', 'b13bc8cfc7773063', '694f7574abd152a9', 'badbbc71ceac3641']; context = [[35, 97], [24, 104], [14, 71], [1, 66], [51, 103], [31, 110], [7, 73], [54, 129], [8, 67], [94, 143], [10, 98], [16, 73], [18, 67], [207, 262], [13, 87], [20, 75]]; loss = 0.014197 low_pass_filter = 0.300
+Epoch 0: | | 44279/? [7:45:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 44280; scene = ['c86e60a041cf1eec', 'dca676f583930b4e', '3da5927afd5ab7f5', '1fe04853ea5bc1a8', '1463fed9557b9acd', 'e66560d04f8b710a', '9349497399743644', '4ea7a2331c46c572', '12c4bf5b80f0ff46', 'b39fb5a378831f09', 'cc36592f7efd1256', 'ed9856a72ec8a92f', 'b3565cc29d609e00', '6a9afe3c40c97c88', '9497d60823d53c30', '8539028ddcf147af']; context = [[22, 71], [143, 198], [65, 113], [9, 65], [38, 103], [68, 134], [17, 71], [53, 128], [81, 165], [28, 105], [18, 70], [22, 110], [11, 84], [30, 112], [11, 100], [65, 129]]; loss = 0.013007 low_pass_filter = 0.300
+Epoch 0: | | 44289/? [7:45:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44290; scene = ['c8eec59d2fd27bc7', '6fce0005228600cf', '57fe6fafb7acb801', '3c14d04df113da24', '20f4bf16c091cdb0', '341602ce1687140e', 'd12ba3a2ac78cfb6', '29ad7f2d5b0f798a', 'f00cff8f4ae371a4', 'cbbd98e0f99af188', '7c6d4de848377911', '9f655edf6923e6cf', 'c047d0dbbfde98e4', '8c311d826f923a77', '50c9b910f6706ed5', 'd36fc8d3f149522a']; context = [[34, 116], [21, 107], [22, 77], [1, 70], [64, 114], [23, 101], [11, 67], [3, 64], [7, 69], [83, 129], [97, 171], [2, 90], [7, 89], [79, 146], [24, 93], [9, 59]]; loss = 0.016668 low_pass_filter = 0.300
+Epoch 0: | | 44299/? [7:45:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 44300; scene = ['a120150644ae529a', 'b9ac53cf1cd3f4e3', '5dac5439a266d383', '3d5a986156f92892', '66b0bedbd87eb6d4', 'f94badaa12bf80cb', 'b82808040252571d', '021fe1a2ec9ab0c3', '9b1ceb9438c33ab8', 'ca3462f0edc7f285', 'b5b4cd966ac738ab', 'a0db5e62f8c4f6e7', '7005e1c300bf8b2a', '33e3195b131be3db', '2ce4eafce3f2249e', '04c823eef80a160b']; context = [[80, 155], [10, 79], [19, 89], [71, 134], [36, 110], [3, 64], [21, 108], [47, 122], [10, 82], [114, 160], [22, 103], [83, 135], [25, 109], [12, 74], [55, 102], [5, 66]]; loss = 0.016178 low_pass_filter = 0.300
+Epoch 0: | | 44309/? [7:45:31<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 44310; scene = ['1d7ad8c6900e7af9', '84c770dab9552672', '5800cc8485fe481e', '063a8e820eb3c107', '0fc06101be8257b5', '951b4fd71377c50e', '3152342c2256d3ac', 'dcff1570629b6439', 'a7c9db349b71b80d', '009ef0283740e7b3', 'dcfbd209b2b98296', 'f7b2bd86817421d8', 'beeec4c7c0124203', '614c143d4d36e67a', '95553c6d4a90fc32', '0481ebfb4942984e']; context = [[48, 109], [52, 122], [0, 77], [191, 248], [1, 51], [1, 82], [22, 105], [121, 168], [3, 57], [0, 53], [15, 93], [8, 84], [56, 110], [88, 155], [204, 253], [2, 53]]; loss = 0.013102 low_pass_filter = 0.300
+Epoch 0: | | 44319/? [7:45:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 44320; scene = ['290282f25bf59e30', '8c71af9aafcee997', '5817ac39c7b89d71', '427dbba2f4ddb5ec', 'b4a5824300555fe9', '24a2c0442c06f4ec', '49e4f5365be165ee', 'ec9ce5f9d9512215', 'fa3c714f9feb0ca1', '423fb23a46b7ad6e', '3205bb1ec6c5e8a4', '05db5f6d9e174ecf', '03150a5a24b88cf4', '43aa78470a1b84d1', '34580d00589eee64', 'e81375f276552936']; context = [[55, 137], [75, 127], [73, 155], [27, 104], [13, 75], [33, 94], [0, 47], [27, 88], [64, 123], [15, 81], [4, 56], [0, 57], [49, 104], [0, 88], [44, 120], [2, 77]]; loss = 0.014148 low_pass_filter = 0.300
+Epoch 0: | | 44329/? [7:45:44<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 44330; scene = ['a6e0604d272fe004', 'dea0923426352b98', '9d97607ce7905c2a', '06bee3668900d256', '63f7fa9fc7595e8a', '60ad733baf373ce4', 'ee50f4114d071b11', '791e28fec2c37cf2', '2cacb4208183ad9d', '3fed357215eada10', 'c1f73327db64e679', 'f0fc2f4198560e9b', '39f951132830b2ef', 'f11c9ded254aeb05', '5d024fb7418064d3', '889deb5eb86b5e45']; context = [[3, 85], [5, 72], [63, 129], [13, 81], [34, 122], [51, 141], [2, 56], [38, 91], [6, 51], [0, 56], [28, 93], [16, 80], [22, 83], [11, 70], [3, 90], [29, 76]]; loss = 0.014423 low_pass_filter = 0.300
+Epoch 0: | | 44339/? [7:45:50<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 44340; scene = ['75a52023d65e96f4', 'eabfbf8e2b4ee916', 'e1e79fcfe1891c76', '082d0267663bc304', 'd83adec7ec2084f0', '53a0c8f7a231f22b', '924c32f78e96f7b0', 'ababe0fcdff0cb9b', 'f71382a605a56ffe', '5693b9b70c4d1ddc', 'c180b05e16a46ac6', 'c5e63a8726d8d66c', '5cc6a2fa5f0a41a8', '196e67f35573aee5', '33f49673459fcb0e', '99a53c7f37fe70ac']; context = [[6, 55], [22, 71], [0, 66], [16, 66], [35, 102], [4, 75], [91, 173], [2, 92], [78, 123], [0, 55], [72, 146], [14, 73], [2, 49], [191, 257], [1, 84], [28, 78]]; loss = 0.014190 low_pass_filter = 0.300
+Epoch 0: | | 44349/? [7:45:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 44350; scene = ['17544f453322cca9', '2a9c1ad6089a1550', 'b580a3428b44251a', '9eb21917c21c3605', 'e2ab13f94d6c8599', '4daa197edbec3fe3', '06a618829b0086cf', '16554229918ea920', '41104f5f61ead9c8', '1be98df85c7a1b55', '7ace42c885ad095b', '0e7a94867925f87f', '66dbbedd0b62d620', '5c13b85999c1fa5c', '3388d14433e04e9b', 'c93a3485a63a06cc']; context = [[0, 55], [43, 107], [9, 92], [110, 197], [0, 50], [67, 116], [158, 208], [64, 128], [7, 70], [21, 80], [28, 112], [0, 69], [0, 69], [208, 270], [24, 107], [15, 61]]; loss = 0.014173 low_pass_filter = 0.300
+Epoch 0: | | 44359/? [7:46:03<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 44360; scene = ['9a991195479a98af', 'c0dd8bc7bbbe97f5', '1ae63bc3a928aa33', 'f2e95b4df65eabc7', 'a0cb4f222193d63c', 'c2cd9373d46a332e', '78717028e4e0662d', '65b520324a4e90c2', 'cf4c9705d27edd6d', 'c526862108180b76', '451cbada271e43da', '8e92e82ea1db9ad5', '377ad4b5371122ec', '89f064fb49ca1d71', 'c4fe7f9718c54978', 'd8b5a46539b588b2']; context = [[1, 76], [19, 70], [189, 273], [13, 81], [6, 57], [126, 172], [121, 196], [14, 83], [6, 86], [2, 87], [189, 261], [0, 73], [9, 54], [68, 133], [15, 100], [104, 177]]; loss = 0.015757 low_pass_filter = 0.300
+Epoch 0: | | 44369/? [7:46:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 44370; scene = ['c07f313faace15be', '9a58dacbdeb095bb', '007d91ee3338229d', '2de65d8f9645d15e', 'b3e785efcbb39bed', 'd7a1d567bba773a1', '6037096f00b3bcf7', 'ce5d6f2eb6fe1b81', '9ad1ef56f0d00649', 'bacacdda6de65407', '0117ac93ca7f4348', 'f82e61bd6f3b60ef', '459c2dbb397fe8c0', '03aa892f294f56ed', 'ee3a19d2d51eef93', 'c6e6428a81100113']; context = [[14, 63], [96, 152], [13, 87], [0, 49], [19, 74], [1, 53], [3, 63], [73, 123], [6, 94], [199, 258], [52, 110], [7, 67], [7, 66], [41, 90], [32, 77], [14, 81]]; loss = 0.015213 low_pass_filter = 0.300
+Epoch 0: | | 44379/? [7:46:16<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 44380; scene = ['9fc50f65a5a998b4', 'b86f0cc451cd38e0', '6841d6e7bb3e445e', 'b22aced3d738961a', '7e7d3e89a03b7964', '15ffb0691e389dec', 'f20f2c66b7cfb222', '33636b41c5e8a1bf', 'c1b5d15e2f52afc4', '2b9a91ff3b76ac1f', '7e6e62f4d393df44', '485e3ebc5ef46c4f', '7024b0228507c606', '8c848bdc65c5b52b', '2a81b1108954eada', 'b707d3c2bf0f031b']; context = [[183, 256], [8, 96], [28, 77], [0, 60], [125, 178], [2, 59], [34, 124], [7, 83], [32, 86], [67, 145], [5, 89], [6, 71], [31, 113], [104, 185], [113, 187], [137, 191]]; loss = 0.017035 low_pass_filter = 0.300
+Epoch 0: | | 44389/? [7:46:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 44390; scene = ['43fe85ffb80fe3ca', 'a7cca3b824fba4ae', 'f249fdd072d2d35d', '9168f179a84dcc90', '999d1dc292628db0', '27ecc84dfeef35d6', '93f0ba6797c67f20', '9122be71240bb162', '92ae0064b7c18b99', '467c7103dccd9914', 'ceba0c9064ef2075', '4fb63d42b75f83ec', '9c002649b133ed7d', '32b6934068c002f8', '2d5886bd890632c6', '75cc3932b7a197f6']; context = [[111, 156], [176, 223], [24, 77], [8, 64], [44, 90], [1, 83], [10, 78], [64, 140], [60, 106], [9, 58], [134, 190], [5, 60], [21, 76], [33, 120], [155, 245], [22, 77]]; loss = 0.013199 low_pass_filter = 0.300
+Epoch 0: | | 44399/? [7:46:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 44400; scene = ['f9e4a4a27b9f0530', 'd3496921a6d7b108', 'aebc481e1183edce', '9ef268c905f3c02d', '0059080010e0a279', '020bf2eec0942025', 'ea4a6d0a0220c7a2', 'f67633dab609f48a', '8eb9e437797482f6', 'dd8e5b4c898f822d', 'a12ec328b1ce8ed3', '7dd8fc2a2879081b', '12cc6c4ce9fc8ea3', 'c356250cc2aafb8f', 'f26b0f41d07e095e', 'b6ad7033ca0cbc19']; context = [[24, 97], [1, 91], [194, 277], [155, 227], [89, 144], [15, 89], [42, 100], [44, 92], [24, 85], [29, 91], [169, 235], [19, 64], [5, 64], [73, 142], [18, 94], [8, 69]]; loss = 0.013298 low_pass_filter = 0.300
+Epoch 0: | | 44409/? [7:46:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 44410; scene = ['146f891877f35000', '9d81335bc69b18f4', 'a16dfe2ead47a813', '2985de9108cd755a', '67dbf5b82e579cb2', '3b49c646bc82c074', 'f82f3902beba630d', 'dcc4e27d1e539a86', '155931a346595728', '160a8cd526273844', '83638041d9f72afe', 'a3427e7e23a23b2f', '2c530bc6a41e5488', 'c9e55a597e009625', 'a11541e3f9ebccd5', '7ab4cf76097be8d4']; context = [[14, 86], [61, 128], [5, 78], [0, 80], [92, 147], [0, 60], [97, 168], [110, 160], [9, 99], [21, 85], [128, 173], [13, 67], [32, 114], [146, 198], [27, 82], [26, 74]]; loss = 0.012164 low_pass_filter = 0.300
+Epoch 0: | | 44419/? [7:46:41<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 44420; scene = ['c650dda53967eb05', 'ac6a1e0b83cd7826', '2a73d7c5a8cf0fbc', 'f6ad279359f6eb63', '4f31c3d2031ae29e', '15770c4aa1e3c886', 'ddcd077c7e0a67cf', '698b8f508e07fbec', 'b547a7565aabf774', '1bad2a58432e346a', '5027f06d0cc6e0bc', 'fe50b8ab71db6ff7', '725edaf7f5f88583', '8c8947bc4f9bcce9', '39e1f92f2731b7e0', 'ea9d5cef5a33d0ae']; context = [[165, 211], [21, 94], [12, 71], [35, 99], [45, 108], [97, 157], [123, 190], [103, 163], [63, 124], [54, 132], [168, 257], [2, 71], [0, 63], [39, 100], [161, 232], [7, 55]]; loss = 0.015461 low_pass_filter = 0.300
+Epoch 0: | | 44429/? [7:46:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 44430; scene = ['662da1dd8bf116ba', 'fc0402487538a5ee', '5391dd1ba237dcae', '5b5d3661b854fc5f', 'c65b6280bfb8afed', 'f113dccd8e9aee48', '74ab85e8afa1b9f1', '1d2224e2a16ea7af', 'dc987c9d1fdd26dc', '3c0d87cb48662854', '55395ce6b8cbbe3f', '8a6a637d20b5c6d6', 'ae5c0c88c91ee5cd', 'f7ab65cf4ced4558', '6b01ae9d6413cde1', '125c50d2d783325c']; context = [[6, 73], [76, 137], [1, 62], [39, 101], [17, 66], [49, 138], [1, 64], [5, 80], [30, 81], [2, 89], [59, 139], [24, 86], [61, 109], [1, 49], [43, 109], [10, 95]]; loss = 0.013782 low_pass_filter = 0.300
+Epoch 0: | | 44439/? [7:46:54<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44440; scene = ['c91b2a4cab7956e6', 'daf1b72247607b04', 'daa7f78ff49a91e7', 'b3270974687b5968', 'a110555f597cd182', 'f317f9ce9a6abd39', '4894ab3cd1054344', 'bef8ddf164b8c48c', '0525d757d0bbed8f', '8dce602c1c9187aa', '4790c19bc4ef4700', '7572e19e7464340a', '8f7048d08ee0f451', 'd2739b0ce00e63cf', '6920a4f8f496ef7c', '5746cbe928536f09']; context = [[3, 66], [4, 85], [6, 69], [186, 248], [57, 102], [4, 60], [202, 253], [6, 57], [27, 72], [42, 106], [31, 115], [4, 62], [36, 118], [16, 104], [41, 93], [85, 146]]; loss = 0.014184 low_pass_filter = 0.300
+Epoch 0: | | 44449/? [7:47:00<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 44450; scene = ['a4e81cb1ef33e750', '4f4b62095d035442', '24052f7618e5b23e', '376891e5c574f2fd', '04c274ee7ff5faa4', '5a2d7bd1aaaa9979', '693e16057340bac9', '1f7b83cb671a108b', 'd27fbd9800432849', '16a4c73f7dfab404', '1e5d356b6e52ad00', 'b6e0a7217135f0ec', '72b9601d75933b02', 'fb0d624658f450a2', '0d4ded80a6003029', '39c680d0e2deb371']; context = [[0, 76], [4, 66], [165, 233], [9, 70], [18, 65], [2, 71], [25, 97], [43, 125], [67, 112], [4, 56], [136, 187], [10, 58], [34, 97], [112, 193], [10, 93], [3, 78]]; loss = 0.014815 low_pass_filter = 0.300
+Epoch 0: | | 44459/? [7:47:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 44460; scene = ['88757490a352159b', 'b643973b5d059f72', 'e0e18dfe0dff7381', 'b4ffa1f6d55b36d5', 'd60fde062314a282', '9e379fa440d61fbe', 'f680164af3370245', '0b3f191324b209a5', '694b55576cadcfc0', 'e62120d353663d7b', 'b0442470142e211b', '5873cdfb303368a8', '191e4379251a71d5', 'e4af493e61f89b51', 'd13baf90bc0348d2', 'f735bb6df81d4612']; context = [[4, 70], [8, 66], [2, 66], [123, 213], [6, 73], [174, 233], [0, 74], [150, 227], [17, 90], [3, 63], [94, 172], [48, 108], [182, 264], [8, 63], [19, 64], [4, 62]]; loss = 0.016909 low_pass_filter = 0.300
+Epoch 0: | | 44469/? [7:47:13<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 44470; scene = ['2a7176cc52a8a38b', '0273551cbe95b745', 'bc6a2adb3ad36ade', 'c7910bdb817862a4', '8805c7327881e75c', 'f102fd49171601dc', 'fcd94bfa816109a0', 'f0d10a292635e158', 'c71087ae4e6f194f', 'bae4d42f71248c66', 'b0ca6e8acb7ad97b', '9d7027346728bebf', 'd50440e66783e1f8', '90cf0cb82c8be331', '9de327a8579e464f', '1daa63069244bb73']; context = [[0, 78], [57, 130], [133, 205], [5, 50], [23, 84], [41, 111], [117, 163], [17, 88], [195, 250], [0, 70], [93, 141], [16, 93], [3, 63], [50, 129], [15, 95], [32, 121]]; loss = 0.017385 low_pass_filter = 0.300
+Epoch 0: | | 44479/? [7:47:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 44480; scene = ['934cc7f0323ecec2', 'f4a4d8babff3a0c3', '6bdfbe59e9534640', 'ec61187ba4aa5de7', '395fd5b1237500c6', '1e95fa0a11e26d17', '050b94e6d6489b99', '59ed5b3728d628fa', 'ac198ed69cc6b1cd', 'a7c974a1ec962ad8', 'a0c7cabb66c795a4', '343a98bd8cfda2de', '331ef97634de7e39', '4955a2d36a82973f', '5fb6c59c4a7c68ac', '77043e8d7cd6aa0a']; context = [[7, 60], [4, 66], [0, 77], [87, 165], [15, 87], [115, 181], [6, 56], [21, 111], [10, 55], [49, 115], [8, 64], [18, 107], [10, 76], [0, 74], [102, 158], [106, 156]]; loss = 0.015102 low_pass_filter = 0.300
+Epoch 0: | | 44489/? [7:47:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.0train step 44490; scene = ['01bfb80e5b8fe757', 'a8d73f79bd0991a2', '5df639b6091c31e1', 'c8e877a21e8c48bf', '6ab4f1994ae94609', '5f50c0139db3d146', '05b07df7b5443976', 'b130ee80182f5a4c', '42928282597bbae6', '78571463ec1147d0', '812f66c0ca94fcc9', '3bd8b6fc41cb1a82', '63152876b2962eeb', '1c5722cd92190398', 'd0d3c21067ff0163', '92e2c39c1b535214']; context = [[124, 191], [4, 60], [7, 80], [0, 51], [40, 88], [80, 147], [18, 76], [49, 101], [21, 107], [11, 93], [74, 128], [13, 67], [1, 46], [11, 69], [5, 50], [45, 116]]; loss = 0.012779 low_pass_filter = 0.300
+Epoch 0: | | 44499/? [7:47:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 44500; scene = ['ac8718c9d815099f', '8aefbf6af9a0effd', 'd6624aac6774c6cf', '9cd867f121e491ae', 'f45d89e13c989cb5', 'bb48e2d74b804b95', '1c3e848e9fd120da', '6b6ecd758a2161af', 'f8e1dd1b4d8d2f01', '6662695dfbebb0f0', '5e041af008e49e96', '9af973da0db34710', 'b65da7000a104086', 'df03ba10b66f2473', 'ede2997f4bca7dbe', '3acf345a91f25283']; context = [[12, 80], [60, 121], [134, 208], [1, 57], [120, 174], [10, 91], [6, 81], [67, 153], [1, 59], [132, 179], [17, 85], [2, 51], [23, 74], [140, 228], [20, 65], [31, 91]]; loss = 0.015562 low_pass_filter = 0.300
+Epoch 0: | | 44509/? [7:47:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 44510; scene = ['863c62c71f0023ed', '59da33bb38e09821', '119fe6f8a2e0b173', '44d310a7a2f4febf', '8653ac07384a76b7', '77b99dcb8a93fb1b', '9b185d9cdcde576c', '49e01a672e888c20', 'd90d8c4438b9c661', 'ad53a9b83fed259a', '5fcb79cdf2edd14d', 'a444a7437f926143', '3a6ee557219c7bac', '21a59c087d54a3d5', 'be0162a8cda21f9b', '242d6d1663e92775']; context = [[4, 57], [19, 100], [1, 51], [1, 77], [77, 129], [4, 59], [79, 147], [94, 173], [45, 111], [5, 54], [9, 99], [8, 58], [4, 65], [2, 48], [21, 102], [93, 174]]; loss = 0.016218 low_pass_filter = 0.300
+Epoch 0: | | 44519/? [7:47:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 44520; scene = ['46d3c6b651083fb3', 'f0b193a824ced787', '108856fdd9df0c73', 'b7895467f9574841', '964e5c7983832881', 'fb526fa7f45a3ae4', '587e782458e147aa', '1cb3ecb30e3e9d0e', '344dc121e7a7866d', '6f609e17cea52386', 'd8bd651322084824', 'de128be06f4d367e', 'd06450b8a249fb5b', 'd9bd93c235434d6f', 'c35aa05ece59a8d5', '69bb4c0de895c773']; context = [[83, 169], [160, 240], [36, 117], [27, 105], [64, 111], [1, 50], [13, 99], [27, 112], [6, 53], [22, 83], [29, 106], [67, 126], [11, 64], [158, 209], [56, 117], [151, 223]]; loss = 0.014694 low_pass_filter = 0.300
+Epoch 0: | | 44529/? [7:47:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 44530; scene = ['c877179754961e27', 'bb8bf48bcdc83535', '51f77212038ce127', 'd8d663fa411e9d83', '5b0a79367da2b1bb', 'e87ed64351c110e6', '3cf4f7cef3d2003f', 'afae3a1f503aa2a6', '3c26cfffc84d7f05', 'b0dbf60f56f2a965', 'd8ab1dd71f13a47c', '28c3c356d03fafd9', '92e0092df2d6229e', '8fcff3cd031b4ff4', '5b0391ef9aa2938d', '15d92c198f64d235']; context = [[19, 65], [7, 61], [39, 86], [0, 62], [15, 62], [7, 71], [7, 61], [1, 57], [14, 100], [40, 102], [13, 60], [11, 57], [12, 74], [49, 94], [39, 101], [20, 66]]; loss = 0.012728 low_pass_filter = 0.300
+Epoch 0: | | 44539/? [7:47:57<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 44540; scene = ['4052a3faf8dbe970', '3a7c125ea7230c20', 'bc1a2ee5ad07231a', '33c23461406aadc8', '0b173d0c5951a7f5', 'd8ba7efbbd85042a', '41f3c60ddfc0330e', 'd38fcceec78870bb', '85fb2f64303a1388', 'b5924605972475e2', '0e9005332bd00350', 'f12268aa63c53837', 'f23d671496254ef5', '97c933ec95dccd16', '52c9ffc4ef2a36f4', 'fae6b0485c4b48ac']; context = [[2, 59], [53, 124], [96, 144], [13, 60], [2, 76], [1, 76], [17, 83], [3, 53], [33, 85], [106, 153], [0, 71], [24, 69], [6, 91], [45, 122], [10, 84], [2, 48]]; loss = 0.013770 low_pass_filter = 0.300
+Epoch 0: | | 44549/? [7:48:04<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 44550; scene = ['01ad601c85aae56d', 'b544cb6ee5baf553', '2ecf714d6adeb367', 'd466e30d0a3e0072', '36cf199e21b7e3b0', 'c49990e5b975a6f4', '932efe07aae19771', 'ac5450ca3161419f', '9c970b5fa11788c2', 'be5970de1e55802d', '9bb9087199582c6c', 'aab80bfddd3bd792', '04e635016d6fa754', '1a90aae528bfbf17', '4cd813b3c22aac8c', '32824d401c2a1a31']; context = [[6, 68], [8, 71], [167, 239], [5, 93], [16, 86], [3, 63], [5, 50], [3, 51], [95, 181], [64, 152], [33, 123], [31, 102], [6, 63], [10, 88], [43, 94], [19, 86]]; loss = 0.013595 low_pass_filter = 0.300
+Epoch 0: | | 44559/? [7:48:10<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 44560; scene = ['31f4d27ca059d335', 'c15a92c8117c7c9e', '3db7a3442e8d1781', '106270347d1aca99', '51fe3513ae878161', 'af7679ac2da6660d', '1d65751b99eee865', '031413325619677b', 'a899cc62b4d16a99', '07d2d2d6cbd3f15e', '361100f6ae8c1ad5', '87c907d8c8c4d7d6', 'c0cf92a34efcf356', '75ed6690375be78c', '5830ae37f597a53a', '2892afc2e696cb8e']; context = [[7, 77], [5, 71], [52, 98], [12, 82], [7, 54], [78, 162], [11, 70], [102, 189], [50, 114], [4, 69], [16, 106], [37, 88], [0, 83], [112, 158], [44, 122], [17, 92]]; loss = 0.015735 low_pass_filter = 0.300
+Epoch 0: | | 44569/? [7:48:17<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.0train step 44570; scene = ['473e019493f80269', 'b4da38076c68ce1e', 'e3678a1a23493b00', '6a12762f4fa26a40', '5db6fdc1fe2fec76', '27f5af845b331a14', 'adb55683c23edf40', '5d9e6cc4ed87959c', '5054bdf3153e5786', '4c5bb6ff3f9a39e2', '79f526b49d544ba7', '7783e9accc485df6', '1a98c811762bdead', 'acffd6c013609d84', '244ef5363d5600da', '2a2334b39a65d2aa']; context = [[61, 128], [3, 49], [2, 51], [6, 63], [51, 99], [3, 51], [1, 64], [21, 79], [203, 275], [45, 111], [12, 67], [17, 100], [73, 128], [34, 102], [20, 74], [15, 71]]; loss = 0.016134 low_pass_filter = 0.300
+Epoch 0: | | 44579/? [7:48:23<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.70, train/active_min_children_step=1.0train step 44580; scene = ['b17a4057ec690a1a', '72cd35a718e0120d', 'ea26a05e0acf26bf', '9e02959687979c23', '862bca667f4bf63a', 'f1d6506bce19c2a4', '10ac5613e2e5cb79', '10708f738dc1cdcb', '02525fa55a283ef0', 'd1a65bf92e622589', '1b387f2dc63125fe', 'e9d8314a8d2d8dc2', 'dd315dbacb3d14af', 'f763314077dee3f9', '6468627058d16ef2', '3a0ea9f832ec69b1']; context = [[38, 99], [59, 115], [89, 142], [144, 210], [27, 86], [15, 63], [2, 56], [12, 82], [3, 83], [88, 156], [45, 97], [17, 87], [10, 66], [65, 129], [67, 113], [7, 87]]; loss = 0.013315 low_pass_filter = 0.300
+Epoch 0: | | 44589/? [7:48:29<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 44590; scene = ['37382e949c5071a2', '5061d6e64c05022b', 'ba876a2b1024ba96', '6d54ac0665423743', '033b12f404f63cbb', '24ece59adbca756a', 'b3df634dfbb7dbad', 'bbd7424a0f661be7', '96a080358e6044e1', 'a6d8c96b509c61f6', 'da636de692a21cd0', '157b25ea83cbc4d2', 'f97e8cce9ac5da7a', '1f9aacec275801c6', 'e3d5d1ef07f55db2', '9944bc31fc2e1580']; context = [[1, 60], [4, 49], [7, 57], [9, 99], [7, 69], [0, 48], [56, 132], [20, 73], [98, 149], [0, 47], [122, 171], [27, 95], [143, 205], [0, 79], [29, 118], [43, 103]]; loss = 0.014286 low_pass_filter = 0.300
+Epoch 0: | | 44599/? [7:48:36<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.60, train/active_min_children_step=1.0train step 44600; scene = ['11b68ddc34409767', '0df03aecb95f42b0', '65cbe8017ca02d87', '9a190c4a5a01bc9d', 'f2fd6d9fbd2e119b', '4ce9f5ad34ab53d3', '07aecc33b34bef2a', 'eedab507fc8c1a62', '5bd0839df8ea9849', 'bb5994696add15d2', '06269da3fcca956e', 'c25b0dba47e6f0b4', '14515b7aad0cb3ae', '5d6726dee1a59091', 'c72830426464df81', 'c7b9c7a19e607990']; context = [[3, 72], [25, 96], [48, 99], [0, 49], [1, 56], [72, 127], [4, 94], [32, 86], [2, 55], [115, 198], [15, 75], [5, 61], [117, 203], [14, 86], [17, 85], [99, 154]]; loss = 0.015409 low_pass_filter = 0.300
+Epoch 0: | | 44609/? [7:48:42<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=26.00, train/active_min_children_step=1.0train step 44610; scene = ['0285f38c0904dca9', '644c8551169990a9', 'a5fc7e6306b6cff3', '426202a67f295583', '17049af18ea4c784', '2f23af98f94f4f91', 'c8bf6244775f21e5', '50cc788b73592850', 'eff77869db95b3f3', 'a6d9b86a94194c8e', '07701fd524e3cf49', 'e3ec1ae2b42b68d0', 'a9692c2a61ab7c4f', '094d184557fa6d67', '5865686bad6ec841', 'f274e9ed82024464']; context = [[81, 142], [104, 173], [128, 179], [28, 100], [44, 112], [0, 66], [0, 75], [126, 185], [1, 89], [18, 65], [27, 99], [11, 86], [22, 98], [20, 93], [59, 115], [4, 80]]; loss = 0.012735 low_pass_filter = 0.300
+Epoch 0: | | 44619/? [7:48:48<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 44620; scene = ['a812f58a9b8d7199', '85da9a81859f2db3', 'f0ecfa6adc842a59', 'd1c051ae4be20ec4', '9e42631ecffc78cf', '4730e386adb917c2', 'd94399261b4e49c9', '86ef5385cdeaec8a', '8722720a664abf19', '54492a0ed1a54bcb', '635f9dbac22cb932', 'e891a88b9cc99871', '5ec066485ed9eb74', '84c2bb09ce1fb3e6', '1734517f6cc0f334', '3bbc81d84822a943']; context = [[61, 132], [3, 76], [5, 52], [2, 66], [85, 175], [7, 83], [146, 233], [2, 53], [95, 155], [32, 80], [23, 84], [0, 45], [5, 57], [42, 103], [15, 66], [143, 199]]; loss = 0.016249 low_pass_filter = 0.300
+Epoch 0: | | 44629/? [7:48:55<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 44630; scene = ['ffeaf3cac2d50a3f', '3e05de98609eb531', 'a8e31e388f09de2a', 'ae12457eb84c3109', '8b059787c5dff034', '4aa10f2a675ba1fc', 'd80f75c505582b17', 'c31c79f118bf1526', '09084445f13c2ecd', 'deed1be47150b1f9', '60680008495d87a1', '20eea6e0a91b2cd5', '76621f74252ed3cf', '0b4dda84eff7509b', 'e6b5da607845c44f', '7973781f09bbc41d']; context = [[9, 64], [0, 45], [81, 161], [3, 79], [2, 63], [107, 179], [4, 77], [31, 114], [57, 146], [61, 107], [40, 116], [59, 129], [46, 130], [103, 167], [25, 85], [10, 74]]; loss = 0.014460 low_pass_filter = 0.300
+Epoch 0: | | 44639/? [7:49:01<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 44640; scene = ['0c097b18870797b5', '1d5ae4d2b3e9b4bf', '885587f42ee4e11e', '0209fa7ef8a06022', '8f7dbb2f1b867a8e', '9d9e27f41396c20c', '3d928d1613742585', '301013b01a12938a', '721707ada01bdffe', '88b8bb15bd256558', '2f0a6c64c44f9979', 'cb7ba36fbae70c01', 'aa9daba10b590900', '89ad52b52eb4ba60', '739b8ee920a178e0', '4856e6d863a32e60']; context = [[27, 84], [21, 84], [19, 92], [6, 73], [70, 132], [32, 111], [1, 48], [3, 66], [52, 130], [17, 97], [171, 236], [3, 72], [10, 81], [0, 80], [79, 124], [39, 101]]; loss = 0.014277 low_pass_filter = 0.300
+Epoch 0: | | 44649/? [7:49:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.0train step 44650; scene = ['f9835f45bbc6a4fa', '3f3f6bbad755230f', 'aff92e6d911876cf', 'f64ddc18d41f78fd', 'fb3eecb20d282fea', '179f1e8a0274c457', 'f8bcf128f66aa850', 'a1d41906cfe6549d', '29e8b0996f0a9b95', '6dd3679736281d03', '43cda4800888f4de', 'b06cd5e3d43abf81', '5030282c24bcb920', '6b08d0b79ed7f4f6', '46ca4c2c01b7cdec', 'a940792082cd2b3b']; context = [[55, 121], [25, 87], [8, 69], [6, 71], [65, 146], [1, 57], [43, 100], [12, 64], [12, 84], [10, 66], [152, 234], [13, 84], [23, 90], [4, 68], [39, 91], [36, 108]]; loss = 0.013742 low_pass_filter = 0.300
+Epoch 0: | | 44659/? [7:49:14<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.0train step 44660; scene = ['78c26ca4826aaec5', 'e3c1a02a2bf6f986', '90a64ac8e5c2cb1e', 'ed5dc436eba3015b', 'fca54684223ba7ce', '06f4b0c8dc813595', '2d94ef1c842688ef', 'f448facf633cb8b4', 'f5fecf0d2097c4cf', 'f62bfcb0c05685d7', 'c4f6fd614a236b2a', '779cc8b732aba1ef', '1cc6d1ea2fce7d69', '5754a6087a6827cc', 'e5eb61f80568241d', '4c36f68040fa30d3']; context = [[132, 198], [178, 243], [24, 71], [28, 102], [27, 73], [21, 87], [64, 114], [107, 163], [63, 114], [79, 131], [14, 64], [1, 74], [50, 128], [18, 94], [13, 89], [45, 97]]; loss = 0.014261 low_pass_filter = 0.300
+Epoch 0: | | 44669/? [7:49:20<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 44670; scene = ['8b8086cefabc3f63', '11a226b8c7759283', '0cc64f7ea809ec72', '15d50c35ce2414d1', '4d2198d0421457a3', '164cc8f264b0aa63', '514b4062ea2f6e76', 'dd766ad08fec83c3', '54c24727beeaeb16', '29e53d3aff0b9a9d', '9767647b437c9127', 'a33988847bf8b2d8', 'a2943efa8ad785fe', 'c375ecb71ca086ef', '08435fff1c2ec4d8', 'f870b5e7cf884540']; context = [[49, 129], [1, 51], [0, 75], [0, 70], [26, 100], [8, 67], [25, 77], [56, 126], [56, 113], [8, 72], [25, 71], [4, 70], [95, 147], [1, 86], [54, 114], [2, 52]]; loss = 0.014587 low_pass_filter = 0.300
+Epoch 0: | | 44679/? [7:49:26<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.60, train/active_min_children_step=1.0train step 44680; scene = ['ae9a02f023b0300d', '7c20cad7daf39482', 'cec1a15d99a12551', 'b8636f55127f4eba', 'b0cb51549da0cfe1', '7aab73a5dcbb473e', '78de5f4327f27437', '270641a79497744b', '51505578d5230cf5', 'a943c07eaf9b8005', 'bd240ce8dba51215', '319808fe19b84a1d', '45ab41d12a0ca8cd', 'dd2c2661a2e2d4f0', '9858cbbdaa9c0a31', '8961aa1e874405ac']; context = [[9, 61], [6, 51], [44, 92], [54, 139], [59, 108], [0, 72], [1, 91], [90, 155], [12, 99], [2, 68], [122, 206], [100, 166], [4, 56], [181, 260], [91, 156], [4, 52]]; loss = 0.013626 low_pass_filter = 0.300
+Epoch 0: | | 44689/? [7:49:33<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 44690; scene = ['43088ea31b0f788c', '7acd20c044711b32', 'add0de603feccc08', '8a43bf70cb04d4e9', 'ab0d3321102f7d32', '9a76d28513b6fdc1', '319d3690254625c2', '848fad475b825e34', '35b2621e28c44be4', '8f8bf7e5e249ce29', 'ebcaa41e61683a0a', '0a9fb4ad75ff12f3', '1d0cbcda73d75506', '33188baa16809b88', '222c009673896d82', 'f7057a18603b8ab5']; context = [[21, 68], [0, 75], [17, 79], [16, 68], [6, 60], [113, 199], [21, 93], [34, 110], [24, 81], [116, 162], [128, 214], [37, 98], [8, 79], [1, 68], [164, 209], [108, 182]]; loss = 0.012923 low_pass_filter = 0.300
+Epoch 0: | | 44699/? [7:49:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44700; scene = ['9212f92c5f6db4d6', '3163b94a6d8ffcfe', '5a5a30f1279f5d73', '0c21d34b9d9529c6', '60593e41bbbbd0e9', 'e2795d1f30fc69b4', 'b99c46a1570d3911', '38f373203dd7db5c', '8c0b0087bd94017f', '33ba82bd47909e3b', 'b393264d3027ec89', '2a36ed883b16e48e', '627d2275dda31d2e', '0e926d6680d8942e', '9d04b522ad2fcf26', '97e72d8bd82aa998']; context = [[84, 130], [2, 90], [132, 205], [0, 74], [2, 89], [36, 107], [10, 65], [0, 55], [93, 143], [40, 128], [98, 179], [118, 203], [15, 68], [67, 153], [12, 82], [4, 78]]; loss = 0.014615 low_pass_filter = 0.300
+Epoch 0: | | 44709/? [7:49:46<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44710; scene = ['b848a571e61f54b9', 'd471e6382b35d0b6', 'c01d0a6a674d63e4', '4521b22b9c889195', '4d96975986327fda', '4e00dcdc5aceb7d0', 'eab5a02951e9e825', '68c57df4ae8cdde0', '284acf34f18ddb91', '1f45f564dd4f8847', '6427008718efdf79', 'cc7c9c5bf0362e64', '78cd4755d6a76bfa', '36c1ffc4ad955467', '6bff01bc9e667569', 'a4de4eff73699773']; context = [[9, 66], [66, 154], [0, 57], [37, 121], [86, 151], [90, 178], [87, 166], [19, 69], [17, 72], [9, 84], [9, 80], [1, 47], [25, 75], [118, 188], [0, 88], [2, 70]]; loss = 0.016222 low_pass_filter = 0.300
+Epoch 0: | | 44719/? [7:49:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 44720; scene = ['d9d98cda23d10c9b', 'f0d33a2db693635a', '33ed8d0df5f8c20d', 'ec736f79975228d9', '88e6344986a03450', 'f0a566ed68e65b62', '6e81169e32e8c8e9', 'd58001b541d912dc', '313953db49c7e137', '8c6bba80f9684632', 'b28521f1b8c1cb4f', '626899ad1d3d7192', '15878c2f09b31224', '148b63d9d88a8e82', 'fe783058309b4d12', '7d28e8894f6dbb1d']; context = [[76, 128], [2, 50], [92, 152], [206, 259], [23, 81], [145, 207], [6, 96], [138, 205], [8, 58], [0, 67], [3, 54], [35, 83], [78, 167], [0, 45], [0, 51], [47, 121]]; loss = 0.017645 low_pass_filter = 0.300
+Epoch 0: | | 44729/? [7:49:58<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 44730; scene = ['fe79a53c24c479b8', '06779b91ed31eaf1', '6c7217612bf78cf9', '08f41adb663ab4f4', 'e35372245c208a65', '70f3c97d083b73b6', '859ab2c13678fbc4', '66c10f6fa1fc6012', '0ca3f423c85f9681', '864728fb8f033a11', '805c1be670649598', '24d80b00700eaa53', 'c32f70bcf9a70a21', '53716be08e99e327', '9bf17927a819a820', 'f832e30f1b3b8145']; context = [[1, 46], [28, 80], [129, 189], [33, 107], [7, 53], [14, 99], [129, 191], [2, 50], [41, 116], [10, 82], [6, 63], [162, 216], [47, 105], [5, 74], [1, 76], [82, 151]]; loss = 0.013628 low_pass_filter = 0.300
+Epoch 0: | | 44739/? [7:50:05<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.0train step 44740; scene = ['649dace86011dd52', 'bbbfb82b51d26b7d', '4e5ec1d83b201b8e', 'cf505a3434ee48af', '3974b614298fa529', '967d2d628434790a', '685b6c222cfb2558', '26bf0e253e41e11a', 'e3b977ebd3a172f7', '0f8f508903ab9ff8', '7b5442741b4ad783', 'f9e5cbd539cfa837', '5d6e0582e278c74c', '50ebcc6bbaf9c827', '934abcda4ab6700a', 'e4e3c9b05269ee77']; context = [[11, 73], [34, 85], [107, 181], [2, 72], [54, 123], [205, 257], [21, 74], [100, 152], [134, 199], [2, 83], [1, 86], [92, 156], [80, 161], [125, 190], [13, 96], [60, 139]]; loss = 0.015584 low_pass_filter = 0.300
+Epoch 0: | | 44749/? [7:50:11<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44750; scene = ['dd8f995702591ba7', 'dfd7ac5b3120d4d4', '76da738b80b894c6', '28e1889569b206aa', '0935b1ed5367813c', '7b2378ebd9c53c89', '23c1ccdbb82ee29c', 'db537420efada436', '909da0bab82b1291', '5df0c00229d7e91d', 'c840e7ad87fcf5d6', '487e1751e169b2fe', '7c43c1873e535409', '598f5f9c57bceafb', 'ec570f8328cd4104', '1f08a54b3d9787f9']; context = [[9, 64], [24, 71], [92, 174], [14, 61], [42, 116], [0, 64], [74, 160], [30, 119], [1, 70], [98, 154], [0, 46], [0, 83], [50, 119], [79, 163], [146, 204], [21, 70]]; loss = 0.016318 low_pass_filter = 0.300
+Epoch 0: | | 44759/? [7:50:18<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.00, train/active_min_children_step=1.0train step 44760; scene = ['400376ce3228c125', '049d772b4c8812c1', '197a8f565798dde6', 'ff6d8a229199dbec', 'acdfcb7d73532ac6', 'c19945d4e91eb24e', '1cbeeb8a3c91e353', 'f9a631221dea4ce8', '9a47d3bc80356098', '687e1775ba2acdd4', '93f0ad28d54301fb', 'b7306ac29446f137', 'f62efaff9f42dfe5', '8e2f5c494adf36bf', '6328887e79625528', '911a265079a18acb']; context = [[65, 118], [14, 85], [73, 135], [13, 73], [13, 86], [5, 76], [34, 113], [17, 64], [2, 61], [15, 79], [105, 169], [0, 47], [121, 178], [46, 118], [86, 145], [70, 121]]; loss = 0.015253 low_pass_filter = 0.300
+Epoch 0: | | 44769/? [7:50:24<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 44770; scene = ['5e2fb1d8b72e5f26', '0a82fbbde54e88fb', '5ccd45240473142d', '45289c77582c1b46', '3e26e9edf58c3b9b', 'f1c02d2bda014ce7', '4311b930c11573c3', 'cd0e3dbfc9803c9d', 'c9cf31e6a56590d8', '0514a460cc3fb8e9', 'b340e019a793df93', 'f22385782a9f8d0a', '99d7f418edf306fc', '172908b84d1a0a91', 'c00054f45f86c8b4', 'b7ca416a1be2fb3f']; context = [[22, 68], [5, 57], [168, 255], [27, 105], [7, 78], [2, 57], [60, 147], [20, 66], [114, 160], [75, 161], [26, 77], [3, 63], [49, 101], [40, 101], [22, 82], [26, 72]]; loss = 0.012986 low_pass_filter = 0.300
+Epoch 0: | | 44779/? [7:50:30<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.50, train/active_min_children_step=1.0train step 44780; scene = ['69bc465e5a422357', 'da635272c8a2b142', 'c97f679a709b82c6', 'ec4e714f7395a1eb', 'acf5370b7f9982b0', '6a089ad9ba7da80d', '54f675ec7c77eddc', '8f15d621211d0cf2', '524021c246a1488d', '1d4f8bd46c960db8', '251522536184bbb1', '0849a021a3a51cb5', 'af96623802f4dddb', '9e3c6f6868453f09', 'f765a2b14a33fffe', '3bb54d65291fd396']; context = [[83, 163], [44, 114], [8, 88], [134, 179], [13, 70], [38, 116], [31, 90], [5, 72], [80, 146], [13, 78], [20, 102], [8, 85], [1, 83], [42, 110], [19, 80], [121, 188]]; loss = 0.014591 low_pass_filter = 0.300
+Epoch 0: | | 44789/? [7:50:37<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 44790; scene = ['145fff95cba3d1be', 'e36cbe2b5246b897', '8dd139ea9fa485a7', '6ee14e90603777a9', 'dc5214ebc39790b6', 'd23860636bd4f6b9', '679b71a0c8b16ec9', '6cfdd5147e9d0d35', 'bbbf86d6023b756e', '002a58afaeaf24c9', '01f0793599666c23', '9f5b27821287f77e', 'b4ce98b34258cf50', '2ffb2a302c2eb8bc', '2b7009b7846c67e5', 'ce72dd0a8a955b6b']; context = [[7, 86], [3, 48], [23, 69], [1, 73], [188, 237], [13, 80], [1, 69], [95, 155], [56, 135], [28, 109], [78, 131], [5, 77], [23, 74], [4, 81], [2, 80], [8, 79]]; loss = 0.013243 low_pass_filter = 0.300
+Epoch 0: | | 44799/? [7:50:43<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.30, train/active_min_children_step=1.0train step 44800; scene = ['37b841b3cfac6910', '0f1b3073367716aa', '66310c83cbd70689', '262db70f07b5c256', '108bf2e321b3a75c', 'b4be0875a3ba2ef9', 'cd26df53d146a7b9', '9db2375dad6ffbdd', '35fd56526e0b499f', '98085097b3ec6cf8', '828a0089d23ff57d', 'ec8c329c574f5821', 'd5021698e6337004', 'e1521248f697a339', 'b957dc0816f778cc', '7a356bc4da397f1c']; context = [[38, 113], [11, 75], [5, 95], [0, 48], [143, 192], [9, 90], [10, 87], [49, 104], [48, 112], [113, 181], [113, 199], [156, 221], [119, 178], [12, 85], [10, 57], [24, 80]]; loss = 0.013855 low_pass_filter = 0.300
+Epoch 0: | | 44809/? [7:50:49<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44810; scene = ['f0b0d2b30ffdc3ee', '8101b85113b0b2c0', '3d590ca24a55b272', '1acfcdec6ff74aa7', '5d4aa868de621c6e', '96b9cf22110579c1', '3725b3e558929f1c', 'd026c1b01c69d9fd', '32df4544077b104b', 'e14b9241bcdb4d3e', '08858c86a58ce340', '0bc21d918e81588f', '6bcfa5f2e496b97f', '7554ef4e3f47cde1', '5606451b2952b4d6', 'a0468bcde5680b1d']; context = [[10, 59], [145, 192], [24, 114], [15, 72], [88, 159], [84, 171], [1, 77], [45, 93], [37, 113], [9, 88], [5, 76], [4, 82], [1, 47], [19, 79], [1, 90], [61, 142]]; loss = 0.016413 low_pass_filter = 0.300
+Epoch 0: | | 44819/? [7:50:56<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44820; scene = ['65161bf7ed37ed8f', '0b8169e51ba31c92', '16ba79e95f3f36fb', 'cee058b0da530229', 'aff84ce3f9bcc647', '5b60890c0841b3fc', 'e7399f47a86cd2f4', '56111aa185c4e651', '90378ec4423744fc', 'b7790df1a78d2ead', 'd7391eb6b5f90016', '50ab25a0e8820982', '0c55e8670e74ed06', '88b8573e068f3289', '7f379c88d591153f', '9dca670d53757444']; context = [[17, 84], [14, 84], [2, 66], [14, 83], [27, 102], [0, 54], [163, 230], [75, 121], [56, 139], [4, 68], [55, 103], [0, 72], [38, 106], [43, 108], [25, 74], [4, 85]]; loss = 0.014324 low_pass_filter = 0.300
+Epoch 0: | | 44829/? [7:51:02<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 44830; scene = ['43e705210ed8541f', 'ab7014fa0e77a4d6', 'c79614eb3afc854a', 'd57b42a6459958d7', 'c2b41c1750f8d948', 'bb9f176934162282', '054ae374f61c2e5f', 'bf586bc4ea216393', '1d5cc6c50380f3e6', '8ec42c5dfea6823b', '597a7b1d1a1db7e5', 'd542ff37459bd8a1', 'b1cb82b0ad9e50c9', 'c702d7ac1f3eb359', '930a6aabe04089e3', '9c34287c66be9375']; context = [[7, 53], [109, 161], [1, 47], [10, 88], [18, 73], [1, 60], [2, 64], [79, 140], [14, 87], [1, 89], [83, 171], [37, 122], [20, 92], [0, 48], [7, 96], [3, 49]]; loss = 0.014632 low_pass_filter = 0.300
+Epoch 0: | | 44839/? [7:51:09<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44840; scene = ['1b019f00a194b9e0', 'b8cef999f4e24084', 'da2adf3f31dbd49a', 'd77ceb15b0826817', 'c6b3daa353ee0b0c', '8965ab39a5e3bb30', '72ed5a51f576f4f8', 'ed7c78a71c753b75', 'fe002afe708218f0', '37988bfce7be3233', 'feb2417bda461d88', '628757b43a1dfdde', 'cf236c29a388be5f', '88c05f87ababd148', 'd8e9bb78c5fb7247', '3d5f656be5d6a6df']; context = [[22, 87], [2, 48], [96, 155], [5, 54], [65, 119], [13, 90], [20, 97], [15, 61], [36, 99], [160, 213], [137, 223], [117, 182], [113, 159], [0, 60], [74, 120], [0, 66]]; loss = 0.015762 low_pass_filter = 0.300
+Epoch 0: | | 44849/? [7:51:15<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 44850; scene = ['763d75d516920a3f', '146f7025acd4ae32', '01fb53b15143522f', 'e3415f47c35a9313', '29b67aa36466a2a3', '6ad716f9b6d89222', '39575de64c3de74b', 'd6f99a65ea33bfea', '3569d686183705cf', '27337c908b5c9837', '73cf2d50d2725a4c', 'e7fc26ae6767e953', '5ddd85e76a75199d', '4cd0eaa10635df39', '2bb0b8de88e68323', '4d32322df2d07217']; context = [[20, 92], [114, 170], [9, 94], [25, 84], [43, 101], [35, 101], [50, 110], [25, 72], [172, 239], [15, 105], [42, 98], [3, 91], [5, 75], [37, 90], [2, 63], [6, 95]]; loss = 0.014014 low_pass_filter = 0.300
+Epoch 0: | | 44859/? [7:51:22<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.30, train/active_min_children_step=1.0train step 44860; scene = ['96e895a56fe2a34e', 'da4f6bfe896bf2fe', '5036537ac2e39315', '56c780409feaf822', 'eaf7c66419fde6ad', '64199c57dfb3dc4e', '1c92d53dec160984', 'dde547bc5456fdcd', 'e1753eddd0e7966b', '37e9852ebeead35e', 'd68e42512bdc7c57', '819077a05ec815dd', '62eeeb4ecfb9d1cc', 'fdff6d499fd2416f', 'c38ba3bd81257841', '9287db30ff7af69a']; context = [[2, 60], [49, 105], [14, 97], [154, 241], [15, 66], [44, 107], [123, 206], [3, 53], [2, 76], [4, 74], [65, 133], [0, 87], [9, 91], [0, 81], [1, 84], [51, 137]]; loss = 0.015937 low_pass_filter = 0.300
+Epoch 0: | | 44869/? [7:51:28<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.40, train/active_min_children_step=1.0train step 44870; scene = ['1918a9a4ac501168', 'c00b8041b4d49773', '28e3201ddd4e6d57', '490640fb28797a5a', '9a06318c3b567f57', '9b8b317f206cd862', '652c66200c9455c4', 'eda5afc31e72fa07', '70015b090d2a010f', 'c8e4353672f44787', '6c2064d3a48af4f8', 'a26423d875c0d5ac', '23ff985b834d45c7', '5fcecfbec64b8d73', '0d09c2387300dafa', '200d089aa97c703d']; context = [[26, 82], [0, 45], [1, 65], [0, 66], [59, 112], [13, 90], [9, 63], [36, 121], [16, 96], [151, 241], [100, 155], [45, 124], [7, 68], [6, 62], [69, 116], [36, 90]]; loss = 0.013224 low_pass_filter = 0.300
+Epoch 0: | | 44879/? [7:51:34<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.90, train/active_min_children_step=1.0train step 44880; scene = ['fdffda6a9c238070', '36836948d81feb91', '262cf191665489d7', 'fe995c4e6d7f7995', '6736bff536cac8cf', '673f289319d805dc', '90e4f7b0d3147f4b', '0cd782442a95166c', '8fa8b7cdf510feeb', 'c985e6462e64cf36', '6f77387bc2a9fc8a', '31ff05dbf772323c', '50ad33ea0f572d25', 'bacbae2314c541bd', 'e72a9a109b2c3859', '1b51ee8926154783']; context = [[12, 83], [25, 91], [13, 96], [30, 92], [28, 73], [1, 46], [14, 88], [0, 45], [0, 51], [3, 77], [61, 106], [11, 66], [67, 137], [30, 109], [163, 211], [15, 78]]; loss = 0.015953 low_pass_filter = 0.300
+Epoch 0: | | 44889/? [7:51:40<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0train step 44890; scene = ['d1cec066a405c001', 'f4c2db072efcdcd5', '5fbb3af48638539b', 'ebd364a24719b595', '4cf19d6a6670c140', '06b7373c3e1db7c7', '58a0b181f4b085a4', 'b89988aca6c6606e', '74773d453af13ca8', '6d18dccb13ee22fe', '16089827ac8bfe5f', '2ae58ab852e5f2b0', '5515e734debb7efe', 'f01495bd5fb2fef0', '763bc6d9d3d231be', 'f23b53a13e9157ab']; context = [[16, 69], [3, 56], [30, 102], [33, 110], [20, 90], [14, 98], [11, 57], [167, 214], [43, 119], [12, 69], [67, 118], [43, 110], [40, 96], [69, 114], [24, 70], [4, 93]]; loss = 0.013644 low_pass_filter = 0.300
+Epoch 0: | | 44899/? [7:51:47<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.50, train/active_min_children_step=1.0train step 44900; scene = ['694ab77e41cc7d03', '34423c7793827555', '3a20e5e7dffd7be2', '404a47d74c89b6a0', '50feecd89278780d', '75863b2203d61a51', 'db4ff231d9dab8ba', '8822bda998ebebf9', 'e820844df0b83918', 'e5fcd9490d306b0d', 'fa4316f495944216', '85e3d37d8d19004b', '63e0f8eb0bc7a74d', 'd6f963473691d5bc', 'eb8cabefd2b8e5e8', '77da7b2b980f34f9']; context = [[48, 104], [7, 70], [16, 80], [11, 76], [4, 71], [53, 102], [39, 121], [23, 88], [0, 46], [35, 100], [15, 64], [13, 68], [27, 95], [65, 134], [1, 77], [125, 179]]; loss = 0.012858 low_pass_filter = 0.300
+Epoch 0: | | 44909/? [7:51:53<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.40, train/active_min_children_step=1.0train step 44910; scene = ['5f50c0139db3d146', '6ab4f1994ae94609', '42928282597bbae6', 'c8e877a21e8c48bf', '92e2c39c1b535214', '63152876b2962eeb', '1c5722cd92190398', '01031c75336e0e03', 'b130ee80182f5a4c', '5df639b6091c31e1', '05b07df7b5443976', '0569e6e41e18271b', 'ea1d7d4183eff93f', 'bcb825ddb88f6a3a', '3dca9c50e63b5ab2', '083888ddd44982da']; context = [[1, 87], [7, 66], [7, 89], [0, 48], [113, 164], [3, 49], [23, 77], [8, 64], [48, 114], [19, 80], [12, 57], [6, 83], [7, 97], [14, 81], [22, 68], [25, 115]]; loss = 0.013427 low_pass_filter = 0.300
+Epoch 0: | | 44919/? [7:51:59<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.0train step 44920; scene = ['66af0e2f2e7d0963', 'd1179c6e15ac4f2c', '85d56f7594f38108', '03de6553890bdced', '5bc40ef96dc75353', 'aa23091c2d2a3b74', '9c114fd30bc5d40d', 'b8a4200aec3217ed', '17a4b7038c693c4e', '38e757b8f58a6da2', '7357769abf6e270a', '1e100eeadbff952c', 'ea0ae256b3a02a33', 'cb797cd30542e55c', '7f172f67f7c6fb69', '8e15c3ce3989dc4f']; context = [[10, 80], [42, 99], [30, 119], [1, 52], [29, 107], [16, 71], [60, 137], [11, 73], [2, 62], [12, 70], [0, 50], [38, 89], [27, 100], [50, 96], [62, 129], [9, 87]]; loss = 0.017022 low_pass_filter = 0.300
+Epoch 0: | | 44929/? [7:52:06<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.60, train/active_min_children_step=1.0train step 44930; scene = ['a5c9cbbc7e1d69a1', 'a270004198eddd9b', 'dbb7151643a69e0c', '4a3ff4b7939ec268', '22b1b9bebc0a0520', '6494828a237a7a69', '0762d4d82b19cc37', '2f0784d93c5026a7', '47fdf3ee7474cb84', 'b20332a5bfc0c3d6', 'abaea05d6dfb482e', '3fb1e31ec9238522', 'df583b2dd1acba5d', '7db13dffd4c4bc7b', 'fa94d8d381572a52', 'b76392a98971711b']; context = [[5, 85], [67, 122], [169, 217], [10, 82], [9, 93], [44, 102], [10, 82], [6, 77], [145, 223], [7, 75], [54, 110], [62, 107], [128, 204], [44, 89], [0, 45], [32, 86]]; loss = 0.014278 low_pass_filter = 0.300
+Epoch 0: | | 44939/? [7:52:12<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 44940; scene = ['8509e7373e87b1b9', '938c442fde3696ce', 'f78219e90033a43b', 'aa8aacb5df95e356', '73abd5048eb254a5', 'ba478cd05917a426', '78d2e86bc8669dd2', '74e30a73a5c11c30', '2c1b4bbf79a3aaef', 'a32094abd3d9859f', 'c2fc6ef65cb36488', 'b993964d13910de3', '59f90e73aecf538b', '853cea5a9bef7465', '2ee31a7780c9ba67', 'ec9fb1bb662b94f9']; context = [[118, 172], [161, 216], [7, 97], [1, 91], [2, 68], [1, 62], [178, 249], [3, 56], [151, 218], [4, 81], [4, 59], [127, 207], [33, 82], [12, 79], [4, 55], [23, 85]]; loss = 0.016103 low_pass_filter = 0.300
+Epoch 0: | | 44949/? [7:52:19<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.20, train/active_min_children_step=1.0train step 44950; scene = ['edf96f74be4a3bfa', 'f5596ed3eb0151b0', '198406e64d55f09a', 'd45f2d9fb239d5b4', 'd9a44807f45c25ab', 'dee435320ceec344', '4dd9c5fab7e6ec75', '468e9fdaa3224fce', '75cfeb226b47a5a1', 'c260ecbf582b8dca', '38521be537d8a9aa', '0c0cebc8eb795c08', 'b3c2eaecfff1ccaa', '6349ab522cc11c42', 'a58bd21f7b45e7b5', '42f3b9aeb02f45e7']; context = [[193, 250], [129, 201], [6, 82], [51, 102], [44, 131], [23, 107], [2, 54], [4, 57], [58, 107], [30, 92], [0, 75], [30, 111], [0, 48], [7, 54], [74, 156], [5, 59]]; loss = 0.015979 low_pass_filter = 0.300
+Epoch 0: | | 44959/? [7:52:25<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.70, train/active_min_children_step=1.0train step 44960; scene = ['e966a72e3b80add8', '012a123c46f1227c', 'da656fc4be49446d', 'e8631b8149e42ce0', '9abeec140e78dac2', 'da57af6d2294f253', 'bc452bf30b9596ee', 'fec4da66d508403d', 'c579400685922dcb', '88d011fbf3bbfa0d', 'ba42368fffe5f29c', '640d78a72db813c5', '62e0ba062f947b18', '668a991c53434075', '0ffd0138eef63fc1', '43297e0c74c63a14']; context = [[9, 65], [42, 89], [43, 96], [95, 150], [4, 56], [0, 45], [20, 73], [36, 103], [138, 228], [2, 52], [0, 50], [7, 52], [7, 81], [5, 85], [6, 63], [42, 123]]; loss = 0.014006 low_pass_filter = 0.300
+Epoch 0: | | 44969/? [7:52:32<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.20, train/active_min_children_step=1.0train step 44970; scene = ['9317c49bbcccdc77', '1b0e717e91cce82e', '15a5cd0f74a514f8', '56a72d430a8dd9e0', '3712214aed3882fb', 'd094e210c695115b', '957b2fa61822202c', '84607653a6a8b121', '3730751b1237c73c', '9fd8a9831baf651d', '3e13f3fba0b0ea14', 'a0e1d0d42838d44d', 'b44df40a0d74a4d5', 'f4cfbc87ff95b92d', '906de481e921bac2', '86ebe3138fc58922']; context = [[7, 76], [15, 68], [9, 64], [5, 57], [21, 76], [193, 258], [6, 93], [0, 84], [27, 100], [12, 64], [99, 181], [123, 188], [27, 104], [31, 78], [38, 103], [90, 178]]; loss = 0.012808 low_pass_filter = 0.300
+Epoch 0: | | 44979/? [7:52:38<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.80, train/active_min_children_step=1.0train step 44980; scene = ['f49e05ae93f16a10', 'f9c3fae342576d5c', '0ab56001fc8803c2', 'a7cca3b824fba4ae', '5b99e1003ac65167', 'c7ff8b136d1e04ea', 'e16be9ac711d05ec', '18c06550d82aff14', '5e80b87bc5ef5c2c', '485cc5ecb84afd79', 'fb79ec5350c1eaed', 'f3e027c7872d9ac9', '72068f2a0f7eeeab', '43fe85ffb80fe3ca', 'f521ebe83056babf', '8d1aba7a0d83fb23']; context = [[71, 124], [131, 205], [95, 171], [161, 211], [13, 84], [39, 87], [16, 89], [36, 125], [2, 72], [3, 59], [12, 93], [1, 63], [73, 127], [47, 102], [85, 150], [17, 90]]; loss = 0.017646 low_pass_filter = 0.300
+Epoch 0: | | 44989/? [7:52:45<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.00, train/active_min_children_step=1.0train step 44990; scene = ['dbbdd67bb58e7434', '01fe7ffb0ebe1f90', '40ae6a25353e43f0', '81c7dc4d940db5f7', '0faf6d493edc4914', '8b6fc7cfa0e1de13', '3333768ade9bae8f', 'e019f256c86c3ffc', '279f2ecc43905a1a', '9ce015e049e794f1', 'de0b5f163df22bac', '2c2893932017a26b', '835fcebe0e9a911d', 'c9b40b358bf47223', '847a29ef226fb468', 'e165257746685417']; context = [[20, 101], [4, 52], [38, 93], [8, 63], [50, 106], [34, 106], [10, 86], [59, 143], [26, 107], [32, 111], [5, 61], [145, 204], [54, 122], [66, 112], [80, 147], [78, 155]]; loss = 0.016169 low_pass_filter = 0.300
+Epoch 0: | | 44999/? [7:52:51<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0train step 45000; scene = ['a0f9a5c04c8e602b', '2cf102bb6b9d37e8', '1825e5c359626746', 'd8e1cd667f0c5721', 'cfc61eb87df87ae0', '304c15cc24ffac86', 'ffbbacafa10e1711', 'd2bda0901d3ee82c', '034dad4d1889371e', '0cb234443d24b50f', 'be8f948f75a0a418', '3f82d3a888aa338a', 'ea447aab2dac7662', 'e7449658b8889d97', 'c8d797f57b4dbc0c', '775454bdea6893b0']; context = [[8, 87], [107, 171], [38, 84], [1, 76], [38, 93], [147, 212], [28, 103], [2, 49], [13, 72], [61, 112], [147, 193], [4, 52], [130, 216], [37, 89], [54, 102], [6, 54]]; loss = 0.013749 low_pass_filter = 0.300
+Epoch 0: | | 45000/? [7:52:52<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=25.10, train/active_min_children_step=1.0validation step 45000; scene = ['015631b21f792a12']; context = [[80, 128]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Epoch 0: | | 45001/? [7:53:07<00:00,  1.59it/s, v_num=4adw, train/psnr_probabilistic_step=24.70, train/active_min_children_step=1.0
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+                                                                                                                                   
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/gaussian_train_ratio_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/gaussian_train_ratio_sum_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/psnr_probabilistic', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/active_min_children', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/child_count_mean', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/child_count_std', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/mse', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/error_loss', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/predicted_error_count_1', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('train/predicted_error_count_max', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera_t', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera_r', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/camera_f', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('loss/total', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('info/global_step', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+`Trainer.fit` stopped: `max_steps=45001` reached.
diff --git a/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/requirements.txt b/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/requirements.txt
@@ -0,0 +1,119 @@
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+multidict==6.6.4
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+charset-normalizer==3.3.2
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+aiohttp==3.12.15
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+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
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+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
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+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
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+nvidia-curand-cu12==10.3.9.90
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+hf-xet==1.1.10
+sentry-sdk==2.39.0
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+opencv-python==4.11.0.86
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+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
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diff --git a/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/wandb-metadata.json b/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..d77be7f4749301bbc80914052c178cd674497f24
--- /dev/null
+++ b/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/wandb-metadata.json
@@ -0,0 +1,97 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-12T14:53:36.152513Z",
+  "args":  [
+    "+training=gaussian_head_toy",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=0512_B16x4_errorMSEWU40K",
+    "data_loader.train.batch_size=16",
+    "model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt",
+    "model.encoder.gaussian_predictor.error_prediction_mode=direct_sweep",
+    "model.encoder.gaussian_predictor.error_uniform_warmup_steps=40000",
+    "model.encoder.gaussian_predictor.freeze_error_predictor_after_warmup=true"
+  ],
+  "program":  "-m src.main",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "159bf410c79e54d61a1fe1d1555c3609933cf1f9"
+  },
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "956929736704"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
+      "name":  "NVIDIA B200",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "bh0w235x8f7xmnlmclrrxmpxpw3s221q"
+}
\ No newline at end of file
diff --git a/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/wandb-summary.json b/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..ba04d047a57107f746bf6ca57d8b2b27f4bf913e
--- /dev/null
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@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/logs/debug-core.log b/exp_0512_B16x4_errorMSEWU40K/2026-05-12_23-52-01/wandb/run-20260512_235336-t0np4adw/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..33aefd4c7b106dc8c2ddbc20ab3e7ed60abf9c2e
--- /dev/null
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@@ -0,0 +1,15 @@
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+{"time":"2026-05-12T23:53:36.226554106+09:00","level":"INFO","msg":"server: will exit if parent process dies","ppid":2756389}
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new file mode 100644
index 0000000000000000000000000000000000000000..56f8a6cd01a8583496137009234c8ed30796fb99
--- /dev/null
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diff --git a/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/debug.log b/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..be2afc5d8cbfbdb8382f18887d1fe1065f76073f
--- /dev/null
+++ b/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/debug.log
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+2026-05-12 18:47:49,733 INFO    MainThread:2729370 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'gt_aligned', 'gt_target_pose_align_mode': 'nearest_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'feat_cross', 'heads': None, 'feat_dim': None, 'patch_feat_grid': None, 'parent_condition': True, 'patch_pos_embed': 'sine', 'patch_pos_scope': 'local', 'patch_feat_norm': False, 'shortcut_norm': True, 'shortcut_scale_init': 0.1}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 1, 'max_children': 8, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_prediction_mode': 'direct_sweep', 'error_model': 'exp', 'error_uniform_warmup_steps': 40000, 'freeze_error_predictor_after_warmup': True, 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 16, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'anchor', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': 'pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt', 'freeze_backbone': 'none'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': True, 'backend': 'gsplat', 'low_pass_filter': 10.0, 'decrease_lpf_step': 1000}}, 'loss': {'mse': {'weight': 1.0}, 'lpips': {'weight': 0.05, 'apply_after_step': 0}}, 'wandb': {'project': 'flexsplat', 'name': '0512_B16x4_errorWU40K', 'mode': 'online', 'tags': ['re10k', '256x256']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 16, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0001, 'warm_up_steps': 1000, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 3750, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': True, 'direct_camera_pose_enc': False, 'camera_loss': 10.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'uniform', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.0, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'child', 'pixel_error_mode': 'abs', 'error_loss_weight': 0.1}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 45001, 'val_check_interval': 1000, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 22500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, '_wandb': {}}
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diff --git a/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/run-20260512_184749-4isrm89j/files/config.yaml b/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/run-20260512_184749-4isrm89j/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1f7fd62545b66eaea6012959036674161e1a7815
--- /dev/null
+++ b/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/run-20260512_184749-4isrm89j/files/config.yaml
@@ -0,0 +1,338 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            16njgihvwkrzu47c7rbfhj2ll0fkevlf:
+                args:
+                    - +training=gaussian_head_toy
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=0512_B16x4_errorWU40K
+                    - data_loader.train.batch_size=16
+                    - model.encoder.pretrained_weights=pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+                    - model.encoder.gaussian_predictor.error_prediction_mode=direct_sweep
+                    - model.encoder.gaussian_predictor.error_uniform_warmup_steps=40000
+                    - model.encoder.gaussian_predictor.freeze_error_predictor_after_warmup=true
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "956903448576"
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: 159bf410c79e54d61a1fe1d1555c3609933cf1f9
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
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+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
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+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
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+                      cudaCores: 18944
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+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
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+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
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+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
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+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: -m src.main
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14
+                startedAt: "2026-05-12T09:47:49.732488Z"
+                writerId: 16njgihvwkrzu47c7rbfhj2ll0fkevlf
+        m:
+            - "1": trainer/global_step
+              "6":
+                - 3
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+            - "2": '*'
+              "5": 1
+              "6":
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+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 3750
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 16
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 22500
+loss:
+    value:
+        lpips:
+            apply_after_step: 0
+            weight: 0.05
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            decrease_lpf_step: 1000
+            low_pass_filter: 10
+            make_scale_invariant: true
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: nearest_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: gt_aligned
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    feat_dim: null
+                    heads: null
+                    name: feat_cross
+                    parent_condition: true
+                    patch_feat_grid: null
+                    patch_feat_norm: false
+                    patch_pos_embed: sine
+                    patch_pos_scope: local
+                    shortcut_norm: true
+                    shortcut_scale_init: 0.1
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                error_prediction_mode: direct_sweep
+                error_uniform_warmup_steps: 40000
+                freeze_error_predictor_after_warmup: true
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: anchor
+                position_parameterization: depth
+                random_children: true
+                top_k: 16
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: pretrained_weights/flexsplat_vggt224_depth_distilled_encoder_1000step_step001000.pt
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0001
+        warm_up_steps: 1000
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 10
+        context_view_loss: true
+        direct_camera_pose_enc: false
+        error_loss_weight: 0.1
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: uniform
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 45001
+        num_nodes: 1
+        val_check_interval: 1000
+wandb:
+    value:
+        mode: online
+        name: 0512_B16x4_errorWU40K
+        project: flexsplat
+        tags:
+            - re10k
+            - 256x256
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+LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]
+
+  | Name    | Type                   | Params | Mode
+-----------------------------------------------------------
+0 | encoder | EncoderFlexSplat       | 1.3 B  | train
+1 | decoder | DecoderSplattingCUDA   | 0      | train
+2 | losses  | ModuleList             | 0      | train
+3 | miou    | MulticlassJaccardIndex | 0      | train
+4 | acc     | MulticlassAccuracy     | 0      | train
+-----------------------------------------------------------
+1.3 B     Trainable params
+1.0 K     Non-trainable params
+1.3 B     Total params
+5,103.342 Total estimated model params size (MB)
+1590      Modules in train mode
+59        Modules in eval mode
+Sanity Checking DataLoader 0:   0%|                                                                          | 0/1 [00:00<?, ?it/s]validation step 0; scene = ['306e2b7785657539']; context = [[48, 73]]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/data_connector.py:425: The 'val_dataloader' does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` to `num_workers=17` in the `DataLoader` to improve performance.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user.
+  warnings.warn(  # warn only once
+Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off]
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading model from: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lpips/weights/v0.1/vgg.pth
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 1. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 9/? [00:07<00:00,  1.15it/s, v_num=m89j, train/psnr_probabilistic_step=8.760, train/active_min_children_step=1.000, lotrain step 10; scene = ['78784c6ffe218407', '2144f1fd5b00dc66', 'f568ab2fa64994e9', 'eac6cedeba1f720b', '216d5454333d29b5', 'b628b7d46a07cb57', '3b07094586f67024', '044df93e59024ee2', '167c67586a8c0846', '3931c6a7e69ffff1', 'c9c67636b9d521be', '0908c09364f54c42', '2d92b7321e1039c5', '3bc0044f0678f39f', 'e51ef9945ae527c4', '31250ac58b3e32c9']; context = [[31, 56], [10, 35], [7, 32], [27, 52], [249, 274], [57, 82], [15, 40], [114, 139], [6, 31], [6, 31], [137, 162], [14, 39], [10, 35], [95, 120], [55, 80], [89, 114]]; loss = 0.267554 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/num_gs', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/scene_scale', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/utilities/data.py:79: Trying to infer the `batch_size` from an ambiguous collection. The batch size we found is 16. To avoid any miscalculations, use `self.log(..., batch_size=batch_size)`.
+Epoch 0: | | 19/? [00:14<00:00,  1.35it/s, v_num=m89j, train/psnr_probabilistic_step=8.290, train/active_min_children_step=1.000, ltrain step 20; scene = ['4581bdd74b6ee0a9', 'd56e9c764f637e1c', '1f9574f1e0c1c2b2', 'd7e2a0e5718dc803', 'b2186a798ad4fb49', 'db1723893a3a6277', 'b3edac66be582f84', '6546295c3cec469a', 'b3232677872b2974', '2f27acaf69f3c7a7', '486673d483fe843a', '488358b53866b7aa', 'eedd397acee4cb4f', 'c18ea6a77949e219', '5140967fcd51092e', '08234c2181c4db46']; context = [[6, 31], [26, 51], [45, 70], [209, 234], [31, 56], [9, 34], [30, 55], [247, 272], [58, 83], [0, 25], [62, 87], [10, 35], [113, 138], [92, 117], [43, 68], [162, 187]]; loss = 0.278625 low_pass_filter = 10.000
+Epoch 0: | | 29/? [00:20<00:00,  1.43it/s, v_num=m89j, train/psnr_probabilistic_step=8.920, train/active_min_children_step=1.000, ltrain step 30; scene = ['6dd4b348223c880c', 'dff181c503e5c202', 'fd4c9fb0fae56ccd', '66c3771cf7cb96c2', '75790c62002de4f2', 'c7e94713ef1f1ace', '0cbf1454a4391523', '9bb0448e7cb2f733', 'a8cef6a851fbea3c', '9c763036f1d84e18', '7759eccd562145b9', 'a597e94e50eb917a', '67e69f3a4701dfd8', 'b91dfcb3102d1482', '5a2ad43377e9d18d', '0e4916077d990d1e']; context = [[4, 29], [102, 127], [26, 51], [247, 272], [39, 64], [16, 41], [129, 154], [10, 35], [38, 63], [101, 126], [8, 33], [111, 136], [10, 35], [76, 101], [52, 77], [21, 46]]; loss = 0.272562 low_pass_filter = 10.000
+Epoch 0: | | 39/? [00:26<00:00,  1.47it/s, v_num=m89j, train/psnr_probabilistic_step=9.540, train/active_min_children_step=1.000, ltrain step 40; scene = ['af9d978c9fca5752', '55cf2bbe9e017ea4', '437474fa4196e1b7', '0207b0ec0cc851f6', '1684dbfef3d182a9', '512cd4ea0fef0198', 'd1772c09b4b6d95f', '629f07baec1cbad5', '99e9f09b456ef23e', 'd066040e500bd58b', '7e7b53917bcf337b', '0066ed3711a7240d', '0f0bbb6510ca3018', 'c49bd62c183dd925', 'd7ca14c855d58875', 'b07a54eda9cdaccb']; context = [[175, 200], [3, 28], [122, 147], [24, 49], [17, 42], [35, 60], [53, 78], [110, 135], [31, 56], [13, 38], [54, 79], [71, 96], [37, 62], [11, 36], [45, 70], [106, 131]]; loss = 0.224043 low_pass_filter = 10.000
+Epoch 0: | | 49/? [00:32<00:00,  1.50it/s, v_num=m89j, train/psnr_probabilistic_step=9.540, train/active_min_children_step=1.000, ltrain step 50; scene = ['c1bcd66d5a2d51b6', 'ea5a39bd855fdd91', 'f3135a7492955a8a', '9794641b7e015578', '5041701491a4b930', 'c2fd6e5ebbff57b3', '604b0838aa3321c5', '86d9acf576d8ec0b', '2dd4d2a252e34405', 'fe1cf5504260d4ea', '7e58b6857e275547', '7dfeaf87a8145697', '96b163f47895beee', '83c9baf5bbc941ee', '23d17b97a9d3674e', '36846d6fa22bba62']; context = [[113, 138], [33, 58], [127, 152], [125, 150], [124, 149], [27, 52], [26, 51], [157, 182], [30, 55], [3, 28], [132, 157], [8, 33], [115, 140], [106, 131], [69, 94], [135, 160]]; loss = 0.202901 low_pass_filter = 10.000
+Epoch 0: | | 59/? [00:39<00:00,  1.51it/s, v_num=m89j, train/psnr_probabilistic_step=10.90, train/active_min_children_step=1.000, ltrain step 60; scene = ['d8b22b4eb5e28e71', '68e586537c71a833', 'ad24c22967e79c48', '5a6fefaa5fc9fb2b', 'c0e3203eaee46f03', '8e16c8644efeec52', 'b0acc8ab51920ba2', '03d05f69a1cab4f8', '4017d144a78a75f1', '729acff96609b269', '4c9fcaa404a29913', 'c963dfce16d61584', '45a2984105a2b69b', '88758635b5ba64ab', 'cc68efcc2b123690', '5d77d10032b5d35d']; context = [[88, 113], [101, 126], [43, 68], [15, 40], [44, 69], [6, 31], [14, 39], [129, 154], [125, 150], [40, 65], [161, 186], [0, 25], [12, 37], [20, 45], [161, 186], [17, 42]]; loss = 0.234443 low_pass_filter = 10.000
+Epoch 0: | | 69/? [00:45<00:00,  1.52it/s, v_num=m89j, train/psnr_probabilistic_step=11.60, train/active_min_children_step=1.000, ltrain step 70; scene = ['73ecf847059621f6', '6a60c963307639aa', '83f9d8c6d307248a', '6df172462e2547f2', '8dd73309b133b8bf', 'bbbded1a277dd24f', 'c7af45d1166fe6cb', 'f5db0bad3ebe96e3', '57a51e1d7e1b80fe', '5223b08ead451ba3', 'f6894181dbf11e40', 'b24a35dc8884076b', '73b27f4f150327af', '932af4bdfcb8093b', '7bdeaa5ddcb319c8', '6e1a2b5a4f427345']; context = [[5, 30], [0, 25], [18, 43], [133, 158], [47, 72], [5, 30], [23, 48], [2, 27], [51, 76], [100, 125], [0, 25], [19, 44], [41, 66], [178, 203], [1, 26], [59, 84]]; loss = 0.169627 low_pass_filter = 10.000
+Epoch 0: | | 79/? [00:51<00:00,  1.52it/s, v_num=m89j, train/psnr_probabilistic_step=12.40, train/active_min_children_step=1.000, ltrain step 80; scene = ['d628ed946998f4f0', '75335793f866b96d', '634b28ad470cf75a', '04285c62eb6cc081', 'cd2d9ac2a7223cf5', '3aba252e263e7585', '3d90d586b33daa63', '86dfadf971ff9ff5', 'a9936b77895f33b3', '06a16655c8e8ad9c', '1e56c6d50221c84b', 'c5a85f680c4f9c9c', '92bc1a5a284f9e88', '186b6487fea252ab', '6cbbe9075b0d2138', 'fb7776636c2a50b5']; context = [[24, 49], [28, 53], [74, 99], [44, 69], [104, 129], [215, 240], [72, 97], [87, 112], [20, 45], [25, 50], [122, 147], [50, 75], [166, 191], [37, 62], [104, 129], [36, 61]]; loss = 0.149104 low_pass_filter = 10.000
+Epoch 0: | | 89/? [00:58<00:00,  1.53it/s, v_num=m89j, train/psnr_probabilistic_step=11.50, train/active_min_children_step=1.000, ltrain step 90; scene = ['48c804cdf23efb75', 'bdf562da5cc7475c', '31240f5e4b708132', '723f94d150ab09f2', '296063ceba643c07', '6e5505414fd63528', '5a9672017ab85918', 'a67e709b68b7163d', '7e34a8e57c879465', '18aecc2e66ae3112', '0160565c91c8654b', '692a87e2b7ebc8be', '2107f0bc2f004d1e', 'c25b314716aa6b10', '0779daaad5fd0ef7', 'e6cfdadf048f70a1']; context = [[8, 33], [0, 25], [91, 116], [248, 273], [100, 125], [50, 75], [64, 89], [66, 91], [29, 54], [43, 68], [36, 61], [4, 29], [55, 80], [0, 25], [52, 77], [55, 80]]; loss = 0.126461 low_pass_filter = 10.000
+Epoch 0: | | 99/? [01:04<00:00,  1.54it/s, v_num=m89j, train/psnr_probabilistic_step=12.70, train/active_min_children_step=1.000, ltrain step 100; scene = ['b34bb5f53856d34f', 'd110e65023ed8364', 'cb155c027de7a145', '7d9fc989aa9c6149', '6d51b12343179f02', 'cc2226bd7f8faab6', '84f60ca2323e9654', '4e1c106e3effe9bc', '042ddfb169d6bbdb', '342099a48847f4f6', '6ea0ff32c8ea695c', '38a6a1ac5db4c9ca', 'f7a74e0520117195', 'a931b461d6725481', '786cc15dbe60b001', '94841d39236a40ee']; context = [[0, 25], [25, 50], [126, 151], [97, 122], [3, 28], [19, 44], [17, 42], [63, 88], [26, 51], [12, 37], [3, 28], [117, 142], [8, 33], [79, 104], [68, 93], [28, 53]]; loss = 0.154083 low_pass_filter = 10.000
+Epoch 0: | | 109/? [01:10<00:00,  1.55it/s, v_num=m89j, train/psnr_probabilistic_step=13.90, train/active_min_children_step=1.000, train step 110; scene = ['da0fad2070e6c0dd', 'e17208be486cc7a7', '2b15c8704aaa87ba', 'dbac9841157230ce', '0f62ec5c20682f71', '1251592126203554', 'bd99ad1d47bb9005', '04b859d3d26366de', 'f4b06ed6e137cd5d', 'b1de49fea231bb59', 'f92964360d184d99', 'a0b45bab75d35ee0', '3d9f44d7bdd0796d', '42000d5a83b48ee4', '625e3aa0ff734714', 'd2dd3b46d9903314']; context = [[21, 46], [125, 150], [41, 66], [225, 250], [217, 242], [8, 33], [76, 101], [4, 29], [168, 193], [20, 45], [5, 30], [13, 38], [36, 61], [45, 70], [57, 82], [132, 157]]; loss = 0.108471 low_pass_filter = 10.000
+Epoch 0: | | 119/? [01:16<00:00,  1.55it/s, v_num=m89j, train/psnr_probabilistic_step=14.50, train/active_min_children_step=1.000, train step 120; scene = ['65c4746a5f0a43b7', 'ce3ff34509148f55', '2b83ce9b23c5ab7d', 'd729044c166a455f', '84cede8286dcf69b', '3ba79e4a3499b7bc', 'afc970648a89e04a', '5a040cbc8d351ff7', '8278bfd97661dc65', 'bf37ac6cc15e90c4', '2bf30153b26e2060', '814f74b9c3c4d094', '0a609dca037e83a9', 'eda299b8ec5d56ff', '82b8b4c5e983729f', '122d66974706d78c']; context = [[3, 28], [2, 27], [41, 66], [173, 198], [70, 95], [70, 95], [79, 104], [159, 184], [1, 26], [76, 101], [45, 70], [31, 56], [8, 33], [64, 89], [155, 180], [4, 29]]; loss = 0.097982 low_pass_filter = 10.000
+Epoch 0: | | 129/? [01:22<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=15.30, train/active_min_children_step=1.000, train step 130; scene = ['7898a828b7203ca4', '6814d469f5cec50d', '68a4606ce0150ce6', '70a343bffc90f4aa', 'c31cf070ae1a75d4', 'e734e244799d0bfd', 'cb734fdc69e9900e', '89e3bea1f3d2137a', '12f1a55c604c66b0', 'f8532bb5eca0e29d', '174ebd189316bd92', '0087cf27aa9e6167', 'be0f77ad0082e93e', 'db6cd90de8fee2ff', '739932d092e06fe2', 'b703bdb45d172fe7']; context = [[32, 57], [78, 103], [64, 89], [45, 70], [73, 98], [143, 168], [24, 49], [132, 157], [239, 264], [25, 50], [39, 64], [32, 57], [221, 246], [60, 85], [68, 93], [72, 97]]; loss = 0.088990 low_pass_filter = 10.000
+Epoch 0: | | 139/? [01:29<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=16.80, train/active_min_children_step=1.000, train step 140; scene = ['c206b7bad4e2bd69', '7a82d470ad5d5855', 'c08a5ec56e05c975', 'f928d960cbfae15a', '6c7379b0be88feb0', 'cc2ee5b080780c5e', '93f6c9634e5ad304', '631caf62e5167b66', 'eeb55a861130a21d', 'a47a167922cfc6df', 'd4a97e0a52dc8cb7', '8f110752082f188c', '8b671df4b3b155bd', 'd90000318f9a8442', 'dd3bbf1f7f832e83', '1786d6d8c1da703e']; context = [[19, 44], [48, 73], [108, 133], [48, 73], [250, 275], [0, 25], [1, 26], [76, 101], [18, 43], [55, 80], [53, 78], [21, 46], [38, 63], [56, 81], [3, 28], [38, 63]]; loss = 0.070059 low_pass_filter = 10.000
+Epoch 0: | | 149/? [01:35<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=16.90, train/active_min_children_step=1.000, train step 150; scene = ['abab9d091104123a', '58f47cf52ac6cd8e', '496af891d9e2079c', '5b14f5577d88ef9d', 'd317148296e2c9e7', '9fde0d7ec4b06f6c', '225e7ec65db4fff6', '01e4bd13a70c49ac', 'ff6e099a51781a35', 'd354f81b3f57bc62', '27d205da1f0f929c', 'bf2b8a204cdeb69f', 'e5812066c518f8a2', '1d035bb092fa4113', '5da7fa4de4cc06e1', 'f5ac33bf99394312']; context = [[43, 68], [217, 242], [3, 28], [62, 87], [17, 42], [37, 62], [4, 29], [1, 26], [136, 161], [36, 61], [16, 41], [98, 123], [2, 27], [33, 58], [2, 27], [68, 93]]; loss = 0.061770 low_pass_filter = 10.000
+Epoch 0: | | 159/? [01:42<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=18.10, train/active_min_children_step=1.000, train step 160; scene = ['b95ffd3039761a94', '43c4c89b3414a0fc', '956df4359a5b3ced', 'bd077bfc739857cd', '252aa7d6ffb0422d', '14af89bdc75382ab', 'fc8deaf763806c66', 'c236887ce05e2c32', '20f3647b9c4356a9', '3abd72e83aac22b2', 'dd9067bcff6354f9', 'ad75e36b74f6b033', 'e0c462f81b501a0f', '0b6bc1cddcc503af', 'e68bf4919dbd4e29', 'a4cc10dede2eba84']; context = [[44, 69], [49, 74], [174, 199], [208, 233], [44, 69], [54, 79], [1, 26], [7, 32], [59, 84], [8, 33], [6, 31], [144, 169], [191, 216], [7, 32], [134, 159], [19, 44]]; loss = 0.057072 low_pass_filter = 10.000
+Epoch 0: | | 169/? [01:48<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=19.70, train/active_min_children_step=1.000, train step 170; scene = ['d93de5f6c62c01f3', '3e68b6b7bb281e94', 'cb09920c02a2b6bb', '506fed97ede5adbf', 'fc8aa2c335c15eb9', '25bd820746058fb5', '37578ce7a19d91aa', '9569fcfe82105f38', '70285f05516940b2', 'c7d4d5977857ba5a', '74c2c2c5287346b6', '95bdea61f4c80624', '2bfd7a62ae051639', '716290f59cec96d4', '5460e2c24ab3b848', '9093c09d9919a5ee']; context = [[65, 90], [8, 33], [17, 42], [45, 70], [138, 163], [72, 97], [53, 78], [58, 83], [9, 34], [144, 169], [62, 87], [46, 71], [60, 85], [69, 94], [10, 35], [22, 47]]; loss = 0.048372 low_pass_filter = 10.000
+Epoch 0: | | 179/? [01:54<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=19.20, train/active_min_children_step=1.000, train step 180; scene = ['59e55e5b179a50ba', '2ed33656a13829b9', '04d4fee4c437c04e', 'ea0ae256b3a02a33', '7357769abf6e270a', '2243808dcedf81c9', '7572cf78733b5e04', '8e15c3ce3989dc4f', 'cf78433dadf58175', '0832ad3a8f7c0ffc', '12f55e64a1f460c7', 'afba4de2c78eb96f', '7f172f67f7c6fb69', 'cb797cd30542e55c', '88d67718b0e0e025', '1e100eeadbff952c']; context = [[40, 65], [30, 55], [0, 25], [36, 61], [21, 46], [93, 118], [131, 156], [27, 52], [54, 79], [13, 38], [17, 42], [74, 99], [14, 39], [6, 31], [13, 38], [67, 92]]; loss = 0.045219 low_pass_filter = 10.000
+Epoch 0: | | 189/? [02:00<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=19.50, train/active_min_children_step=1.000, train step 190; scene = ['dd8e5b4c898f822d', '3645515a07f57fde', '198d644c5230422f', '60c37b519a01205d', 'ee34918918062668', '629a4530b18dc456', 'dd1a25142bac8d29', 'f44cc142d9796ff7', '7a6bd2a4d2688ce2', 'cbb91d90ddc6d3fd', 'c93c5abcaf89dd0d', 'a5d23080c6b858b0', '39cafa06c9c431dc', '3d2772568f41a9b6', '7a564b61233c3fca', '73dcd9322253689e']; context = [[29, 54], [13, 38], [43, 68], [4, 29], [3, 28], [67, 92], [47, 72], [117, 142], [15, 40], [16, 41], [17, 42], [31, 56], [80, 105], [89, 114], [108, 133], [5, 30]]; loss = 0.043711 low_pass_filter = 10.000
+Epoch 0: | | 199/? [02:07<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=18.50, train/active_min_children_step=1.000, train step 200; scene = ['1087329ad17df204', '5eca48d9febf5e70', 'bf4e0656a420aa9d', 'eff98653337775a8', 'a2ae856e2faf3097', '4eb73e73ca77fb11', 'a3214062cd1950df', '8f5e074629cedd06', '5be8385a860cd167', '21d88b442db5f97f', '282c3c958edab940', '8c2000c91596ea0d', '0339818f120ea7ab', '3738997e842ffe36', '281928f66836f023', '6dd5bd6445ada623']; context = [[40, 65], [22, 47], [25, 50], [29, 54], [15, 40], [42, 67], [219, 244], [8, 33], [22, 47], [23, 48], [4, 29], [59, 84], [13, 38], [20, 45], [8, 33], [133, 158]]; loss = 0.043515 low_pass_filter = 10.000
+Epoch 0: | | 209/? [02:13<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=19.90, train/active_min_children_step=1.000, train step 210; scene = ['5498b21b7b980c1f', '2abe932fd9d76528', '86f3bbf2864c65f0', '2ae7890bd8231e93', '8fabc39ad677dece', '806af4d2d935738b', 'd78079ff1a0f045d', '2b132bbbc4b720b0', 'b551bb88ffea8c1d', 'b569a2f2d95abd90', 'a017de2545c81e26', '63636dcaf9b864e6', '874a7d92f2302f58', '4923656d2871e39c', '901e47c506f0d2c1', '7e7d7e538815535b']; context = [[24, 49], [36, 61], [38, 63], [234, 259], [68, 93], [118, 143], [46, 71], [2, 27], [106, 131], [133, 158], [68, 93], [15, 40], [1, 26], [225, 250], [24, 49], [1, 26]]; loss = 0.044436 low_pass_filter = 10.000
+Epoch 0: | | 219/? [02:19<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=18.80, train/active_min_children_step=1.000, train step 220; scene = ['09db4e6feaea4714', 'f38d945b92c6e0e2', '6ba12d097566dbdb', '835a96da6173dd7e', 'ec2e3374601803b6', '458f38fa2ef28e63', '95cc4a86e6e8e823', 'a3687e6319f47730', '2395ecfa5327b13a', '4fcec6671d77987c', 'e308bb209941c309', '3f53a38d77a20a18', 'aad9a3b6cf7ad971', '68acc2522f558367', '6bd6d8270eee0b81', '59af7a148f0573b3']; context = [[36, 61], [236, 261], [35, 60], [88, 113], [38, 63], [84, 109], [44, 69], [41, 66], [11, 36], [232, 257], [3, 28], [26, 51], [43, 68], [190, 215], [71, 96], [6, 31]]; loss = 0.044600 low_pass_filter = 10.000
+Epoch 0: | | 229/? [02:25<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=20.40, train/active_min_children_step=1.000, train step 230; scene = ['d7b308d30c7e7630', '8dd198d245a49bd5', 'b52203577bf5ab66', 'a025554e94654c2f', '590d0d46abee63bb', 'de1181d6c642e883', '558684b06f159a0a', 'd6dd35d96ec83e83', '443d63805b3fd4ef', 'b877fceeed5942d8', '125318c9856ce742', '8049eef0ee607a97', '07278d9d2d1e4e6f', 'a394ce027ea94a26', '2392a428453da5e7', '92db89e50720951f']; context = [[42, 67], [58, 83], [26, 51], [6, 31], [40, 65], [115, 140], [10, 35], [19, 44], [107, 132], [52, 77], [19, 44], [15, 40], [210, 235], [5, 30], [228, 253], [3, 28]]; loss = 0.044944 low_pass_filter = 10.000
+Epoch 0: | | 239/? [02:32<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=19.90, train/active_min_children_step=1.000, train step 240; scene = ['a026ab82720e6363', '1c30239815f91334', '510c5beb7e6a13e2', '29f66f7d00d5a958', '824a7bbb922965f5', '053e55bc3666cc69', '2a9baa599c00613f', 'aa7d34a0930aaed6', '86961a46929cf91d', '8410b8c23b2c737d', '6789b17ebe4606cd', '12e0d4265e7789b4', '0a91685401b56e22', 'f6a0556897b15d6b', 'd83f2d1ffd5fd125', 'b281bf93286a0573']; context = [[69, 94], [74, 99], [29, 54], [78, 103], [10, 35], [51, 76], [197, 222], [7, 32], [38, 63], [30, 55], [94, 119], [8, 33], [53, 78], [33, 58], [42, 67], [204, 229]]; loss = 0.042957 low_pass_filter = 10.000
+Epoch 0: | | 249/? [02:38<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=19.90, train/active_min_children_step=1.000, train step 250; scene = ['08127a499408b79e', '811e5be9bf8e26ca', '15cd8f43f173d0e3', 'f1f5e26cb49fd2a5', 'e1fbf58a49076d36', 'cae0139a521aa052', '19f950b6900d6176', 'eb54a14f301214c4', 'ec1090f15ec68a1e', '82347d56a4a55c27', '3e4608ca989fdf39', 'fee08c59f9bf59f8', '579a16674dbb8aad', '263c8f62a1f40965', '06beb74df9f499ab', '6fcb6588a79e44d1']; context = [[4, 29], [99, 124], [9, 34], [0, 25], [5, 30], [118, 143], [164, 189], [14, 39], [30, 55], [137, 162], [6, 31], [15, 40], [31, 56], [69, 94], [120, 145], [55, 80]]; loss = 0.043274 low_pass_filter = 10.000
+Epoch 0: | | 259/? [02:44<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=20.80, train/active_min_children_step=1.000, train step 260; scene = ['7239b2a7554c75fe', '5947dd1e10a23b7c', 'fea1c01a1b763526', 'f0ae1c0ba950cd70', 'b6e320aeec7c0ba2', '3154710017640b49', 'ef1fa8ad46c8a424', '339a2912e861d13e', 'b35aad97d393ba2b', 'abe1b540708162f2', '14f5326ed459f92f', '42832be11a0bf2b5', '8c7d25a2c34e0402', 'b5a4e0980cd9c9f6', '108d63b0e7a60f8b', '5bb09c5a46c372d6']; context = [[57, 82], [57, 82], [9, 34], [16, 41], [25, 50], [10, 35], [51, 76], [38, 63], [9, 34], [4, 29], [31, 56], [67, 92], [71, 96], [9, 34], [18, 43], [38, 63]]; loss = 0.039597 low_pass_filter = 10.000
+Epoch 0: | | 269/? [02:50<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.50, train/active_min_children_step=1.000, train step 270; scene = ['1a20aac3a317d67e', '4705db5f75ab548e', '0a3c5ae29bf2cb59', '231964ce719fed4c', '62560eba3ba6f77a', '41986a305a19ca1d', '9beaef3924b260b5', 'c63b37ec347f0d0e', '175e1611df44964f', '944e92ff3fea78eb', '52cf0ad63b78dd22', '4993c13bd0a11f24', 'ea97e5ae55e56208', '97caecafbfa7f1f6', '826d8ad6169872ba', 'a95dacbd3ea3db36']; context = [[130, 155], [37, 62], [5, 30], [0, 25], [117, 142], [61, 86], [3, 28], [10, 35], [172, 197], [99, 124], [74, 99], [47, 72], [44, 69], [71, 96], [5, 30], [59, 84]]; loss = 0.040591 low_pass_filter = 10.000
+Epoch 0: | | 279/? [02:56<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.50, train/active_min_children_step=1.000, train step 280; scene = ['d70347e4bc080e50', '8dda78cf108c2d57', 'f6c2d79ed734958a', 'e3af760082725e5a', '37f2b83c868084df', '5627575be8e76e1d', 'eef721bc7b9f4a92', '3046f14dad8f19f2', 'cf1b9b9835b3d061', 'f0cd80abbd204b40', 'c65e2e20eff15b15', 'f1657c6128d2b332', '20a321699aab25aa', 'b5476504de893f96', 'fc36c85463412c38', 'c25194b2a961a96a']; context = [[9, 34], [134, 159], [6, 31], [6, 31], [214, 239], [67, 92], [10, 35], [18, 43], [83, 108], [12, 37], [7, 32], [5, 30], [10, 35], [104, 129], [76, 101], [13, 38]]; loss = 0.038114 low_pass_filter = 10.000
+Epoch 0: | | 289/? [03:03<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=19.90, train/active_min_children_step=1.000, train step 290; scene = ['5b756acd27bfbaa9', 'dd6b426f383d86cf', 'c699a0c7b862e041', 'bd814603b3e38fb1', '774047a695fba862', '3d86d5c255821277', '0fc2d2e45645813b', '41646b4cab9e19e5', 'ab749461af5d5717', 'f22b0491bc90af5b', '67b0fe8f8f97dae4', '257c31a64a016d24', 'e81c3eda0310ba4e', '116dd0818dd9560e', '3a75651c2d3168a1', 'df11b2823a464dda']; context = [[27, 52], [14, 39], [30, 55], [148, 173], [17, 42], [30, 55], [84, 109], [80, 105], [12, 37], [30, 55], [191, 216], [24, 49], [0, 25], [41, 66], [36, 61], [6, 31]]; loss = 0.038339 low_pass_filter = 10.000
+Epoch 0: | | 299/? [03:09<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=19.70, train/active_min_children_step=1.000, train step 300; scene = ['1cb3ecb30e3e9d0e', 'f0b193a824ced787', '344dc121e7a7866d', 'd5c7ba9e0a7956ad', 'b7895467f9574841', 'fb526fa7f45a3ae4', 'cfeaf7156a508877', '5692ffde04b99f08', 'ef5c5a590e9d175d', 'a530c8b4fa89b84e', '572f15c53545baaf', '6feb82e28fe110f9', 'debd6aa3bae1d248', '356ba7e96c3d9426', 'c46f3f1ddfd8533a', 'd6bd81b4a34ac00d']; context = [[65, 90], [75, 100], [71, 96], [19, 44], [66, 91], [0, 25], [30, 55], [127, 152], [15, 40], [10, 35], [96, 121], [39, 64], [197, 222], [8, 33], [19, 44], [184, 209]]; loss = 0.038701 low_pass_filter = 10.000
+Epoch 0: | | 309/? [03:16<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.70, train/active_min_children_step=1.000, train step 310; scene = ['347a65acdefb3ab8', 'b7aeefdcf8c006ec', 'ca04de3c55cd1ca0', '53d2992e5899c3d5', '84359e8e847ad96b', '8625891ed4d0cf38', '5c4acbcb2726ae77', 'ab88a6b3b387dac9', '03a09832e1472391', 'fecda62970485d2b', '882350c0ebe1872a', '12f629409a280733', 'b92f865fbde65b1d', '8dbf79bf8fb56328', 'f81c46fec218b506', '99a11af3dcb2bd13']; context = [[13, 38], [210, 235], [122, 147], [20, 45], [54, 79], [88, 113], [70, 95], [110, 135], [45, 70], [4, 29], [39, 64], [21, 46], [0, 25], [7, 32], [47, 72], [248, 273]]; loss = 0.039126 low_pass_filter = 10.000
+Epoch 0: | | 319/? [03:22<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.80, train/active_min_children_step=1.000, train step 320; scene = ['73fef5139753e974', '295a4324517ee9bd', 'b09e289b3dc5b7f4', '09223c50d5a39b7a', '2059d1d6c79bc51b', 'db3d51c462a54a7e', 'f7d6cec0bcd35042', '58901334e2d813d9', 'bd8103bcb04d32e1', 'd0ee747ebdd26d7f', '993a85e1b690e97d', 'f26e8a72f69b6153', 'f26c35b6e5dca2b9', '89fbc4149a5d7348', '895fe07be01436f1', 'afefafce8f467d96']; context = [[20, 45], [106, 131], [17, 42], [125, 150], [4, 29], [5, 30], [15, 40], [25, 50], [29, 54], [112, 137], [116, 141], [1, 26], [75, 100], [65, 90], [2, 27], [48, 73]]; loss = 0.036343 low_pass_filter = 10.000
+Epoch 0: | | 329/? [03:28<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=22.10, train/active_min_children_step=1.000, train step 330; scene = ['1835f16e1c0b9795', '301fc1c9a4462dd3', 'ea4146e3386ff1ac', '2475b5436e129d89', 'a11880fb50e63985', 'bcd63850409a4c42', '0636f8d5854771ca', '18288a196b6403c0', '0f2eebc01e8dcad3', '4c326f63354ed371', '0684c9b9769fccdf', 'fe1fc09277b8a000', 'c62b22de6a7495be', '094724dd912fed9c', '5b9edc356515b2c4', '103119c8e78252e0']; context = [[12, 37], [33, 58], [16, 41], [73, 98], [1, 26], [23, 48], [27, 52], [39, 64], [66, 91], [39, 64], [5, 30], [32, 57], [34, 59], [13, 38], [104, 129], [39, 64]]; loss = 0.034882 low_pass_filter = 10.000
+Epoch 0: | | 339/? [03:34<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=21.00, train/active_min_children_step=1.000, train step 340; scene = ['50d6d19613455b86', '29a47ea47b953e37', '485e4c3a23558aab', '129bba31edcccb2b', '4558408811e71246', 'f39f139a01476176', '0fa24a96d121319d', '45ab71fe50becdee', '8d89803ec0446d0e', '824e5d9fe8f9fe1d', '6549544819976e02', 'f8961efbf6e73ce5', '4c76d28a44171812', 'c9fc763ae456cd6f', 'aa69d5f0ef278bcc', '36e2f4d1de6396fb']; context = [[23, 48], [2, 27], [38, 63], [73, 98], [59, 84], [73, 98], [34, 59], [3, 28], [113, 138], [35, 60], [14, 39], [58, 83], [36, 61], [63, 88], [203, 228], [49, 74]]; loss = 0.038350 low_pass_filter = 10.000
+Epoch 0: | | 349/? [03:40<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.50, train/active_min_children_step=1.000, train step 350; scene = ['2821faf83e638b87', 'f1c0d2a78d066bc0', '6494828a237a7a69', '1849a41079039a3a', '0762d4d82b19cc37', '64fe2e10e340ebc4', '6a2a2ff9c392fefe', '22b1b9bebc0a0520', 'a270004198eddd9b', 'ad6fa2297bbfa91c', '2c0939fba79df7ad', '4a3ff4b7939ec268', 'a5c9cbbc7e1d69a1', 'dbb7151643a69e0c', 'f1cbd0e2909c8ce7', 'c537c888e9db11fb']; context = [[61, 86], [17, 42], [71, 96], [15, 40], [94, 119], [22, 47], [23, 48], [61, 86], [169, 194], [2, 27], [40, 65], [104, 129], [27, 52], [205, 230], [150, 175], [21, 46]]; loss = 0.033478 low_pass_filter = 10.000
+Epoch 0: | | 359/? [03:47<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=21.40, train/active_min_children_step=1.000, train step 360; scene = ['1c87d4883f49da92', '8d75d6f051b8f52e', '2a2e3da0444d2ecd', '9c70b01b66e2fabc', '73d493ff94578c55', 'ffaaeea472f10ee2', '3dc0b3372b2e13dd', '91bab928c4639b09', '6551944a93afc0d0', 'c6fa4e41f75c901c', 'f1a5f8d83353bec9', '8260ddb8f461c1fe', '2b0182cffdc9433b', 'bbaa8e8136f8e184', '6e743856adbecde2', '71fc22ad4a04cf9a']; context = [[23, 48], [120, 145], [74, 99], [133, 158], [15, 40], [51, 76], [96, 121], [44, 69], [16, 41], [41, 66], [6, 31], [102, 127], [123, 148], [36, 61], [32, 57], [0, 25]]; loss = 0.034093 low_pass_filter = 10.000
+Epoch 0: | | 369/? [03:53<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.80, train/active_min_children_step=1.000, train step 370; scene = ['ad127c962ce28e63', '453abcae519671ba', 'fe1e321d59a67f06', '32e35693a999fb23', '6bef29b74b93e80a', '1b24cf4a586a15e7', '56db1d6fc942bc90', '7194b8d204f4a0b6', '4bbb9fadc993969a', '4e8e3034d0aa307b', '6acaceae77f75500', 'd91a42243deb04e3', 'a1e59c09aca976c4', 'ff87c19446c6325e', '0aa2d2048c581dff', '9e1b58ec292d6690']; context = [[20, 45], [27, 52], [3, 28], [212, 237], [24, 49], [87, 112], [110, 135], [78, 103], [2, 27], [172, 197], [154, 179], [167, 192], [59, 84], [23, 48], [145, 170], [33, 58]]; loss = 0.036563 low_pass_filter = 10.000
+Epoch 0: | | 379/? [03:59<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.80, train/active_min_children_step=1.000, train step 380; scene = ['e91f5d416c3d2843', '3e80e30faedaa4b6', '674ac829bbf8f50c', '8d5c76362cfbd82e', '1adadfa4ed535f3b', '9037a2323c37f9ef', '102e45db9a58004c', 'eaf4b595a888214f', '9e80f805fd6c7b93', '27abdcbddd0180dd', 'c3062cb8fc7a0efd', 'b46547428ff2b071', '544eb83e4b6b4fc7', '321addf5693a66aa', '662bb59ab9f410a3', 'fe9c6c63360e43c2']; context = [[9, 34], [47, 72], [22, 47], [81, 106], [39, 64], [14, 39], [9, 34], [21, 46], [53, 78], [1, 26], [50, 75], [18, 43], [96, 121], [121, 146], [66, 91], [12, 37]]; loss = 0.037519 low_pass_filter = 10.000
+Epoch 0: | | 389/? [04:05<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.50, train/active_min_children_step=1.000, train step 390; scene = ['2702020b31c28210', '79a763e5b64e4f45', 'de783427084a7fc8', '3731e5cc943c4ec0', 'cc80de7991d73ab0', 'b71a0cb9f4143a6e', 'bb28a1c09df8a484', '59ae8e2d2504d760', 'cc061ca8d139f499', 'c2162040f6db4d2f', '4fe4fc34f41764a4', '4858dc374c4fca93', '0069fbbde9f77bf8', '45a74c68ea76c91e', '83d4b54aeee30945', '2b58d1bbfac7511a']; context = [[62, 87], [7, 32], [22, 47], [34, 60], [45, 70], [111, 137], [37, 63], [101, 126], [0, 26], [20, 46], [139, 164], [10, 36], [121, 146], [184, 210], [7, 32], [12, 38]]; loss = 0.032600 low_pass_filter = 10.000
+Epoch 0: | | 399/? [04:12<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=21.60, train/active_min_children_step=1.000, train step 400; scene = ['efedd66257d1adf0', '34bd9723166c9978', '48c2b63b452555af', '94323b4cd6a95a9a', '80b044471fd710b5', '8f243590d88e28db', 'b2c65f94460ad653', 'aecfc6c8ebc6c15e', '8839e65c6f6bb394', '1fe4a6141969e60a', '509210a9f0f87e8f', 'fceff078ea39c8b4', '17a43ba9a8843508', 'badfd7edf4b25b37', '771c99720c383982', '74e22e2724cb0a9b']; context = [[92, 118], [13, 39], [47, 72], [154, 180], [29, 54], [75, 100], [97, 122], [58, 84], [3, 29], [42, 68], [1, 27], [5, 31], [18, 43], [240, 265], [21, 46], [228, 254]]; loss = 0.031066 low_pass_filter = 10.000
+Epoch 0: | | 409/? [04:18<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.70, train/active_min_children_step=1.000, train step 410; scene = ['9fce6892002b07be', '1f4f12476af5c871', '4aef5d4b9287e08a', '8db516061dca4e75', '3b560e3220235444', '78bfcb719521a42d', '5c907b99b4003976', '5b86537af9058e2d', '2db04fecf76095b6', 'c05a15168d4c3332', 'e24323b82d0671c2', 'd2ad156576e078cc', 'aa4938d7f2fd0a1d', 'e4fc6fa4bbd6efa1', 'c05fd148d2da6d26', '72d7ff49071fa801']; context = [[88, 113], [8, 33], [18, 43], [18, 43], [0, 26], [82, 108], [5, 31], [105, 131], [11, 37], [54, 79], [51, 77], [3, 28], [67, 93], [29, 55], [43, 69], [35, 61]]; loss = 0.033849 low_pass_filter = 10.000
+Epoch 0: | | 419/? [04:24<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.000, train step 420; scene = ['53b47cb89ee91160', '7220014865edc948', '9296168b518b720b', 'cf14d94f41c6e825', 'd159debd3f3ac5ec', '12fa5b60a2ba9d8f', '64ae75e57c6aa0a4', '430d79082d999336', '6f9088cd9c755fb0', 'c654f15dda47ab5d', '1a0af7635585892a', '3729cab2867e7a06', 'ea51f71d8dc1e7b2', '7e6d320ac85bd57c', '20b2bb20840251c6', '5fcab1686e38f61c']; context = [[94, 119], [223, 248], [26, 51], [13, 38], [179, 205], [57, 83], [136, 161], [20, 46], [78, 104], [9, 34], [22, 48], [12, 37], [28, 53], [28, 54], [88, 114], [54, 80]]; loss = 0.034774 low_pass_filter = 10.000
+Epoch 0: | | 429/? [04:31<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.000, train step 430; scene = ['1c7d5cf7a1e08139', '82d896f5142ee6dd', '764206404e317c51', '61c9b6540aaa5884', '11b74ef19465ab45', '409b268729c0a86d', 'd1f583b4b527fefe', '6570d802b2f69e4b', 'e46623a7d46b50d6', '12503cac61ce326e', 'adff1244e7025d77', '014d6d0fdfb6393e', 'a8dd4730a65f88fd', '08f56d6e5878317b', '723db63d24c84d1d', '8032cb2f4ac9e342']; context = [[7, 32], [72, 97], [15, 40], [20, 46], [5, 31], [14, 39], [143, 169], [222, 247], [27, 53], [130, 156], [60, 86], [15, 40], [42, 68], [14, 40], [66, 92], [49, 75]]; loss = 0.035462 low_pass_filter = 10.000
+Epoch 0: | | 439/? [04:37<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.80, train/active_min_children_step=1.000, train step 440; scene = ['cee46b2523a45a59', '78f54b16f8204c3a', 'ab964b6b003ae5e8', '3a192914348dbd61', 'b1473420a788c688', '4a43e0185c382de7', '3e5be575ccb0f6dc', '0f8ad14bb4088d81', '4af74f4ff7c54a9b', '31f279e32e497154', 'dc077856d79ff04c', '59689345260b0920', 'c7876e0ce303f492', 'ede1a18c89abe3dd', 'c95f1f846f48d813', '739b8ee920a178e0']; context = [[87, 112], [44, 69], [6, 32], [59, 85], [4, 29], [27, 53], [87, 113], [114, 140], [207, 232], [74, 99], [55, 81], [65, 90], [44, 69], [13, 39], [138, 164], [117, 142]]; loss = 0.028579 low_pass_filter = 10.000
+Epoch 0: | | 449/? [04:43<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.000, train step 450; scene = ['0be2e01e27a683b0', 'a0e4abe253996ea2', '0120521cfa518c34', 'b2a34524405f79ff', 'a1b7ad951995dadd', 'c338cd1e105943ae', '913f87b9648dda52', '3b4d6384abe5561f', '2dd8ae2b71457753', 'f001500643d191d6', '124c9f059bef0478', '23f93bec3ac52e4c', 'f1e8c1b674d290ec', '9bb10fc846b3d2b1', 'fbae7bcc4ca44675', 'ec1dcf652eae675d']; context = [[19, 45], [28, 54], [2, 28], [87, 112], [5, 31], [43, 69], [25, 51], [63, 88], [44, 69], [46, 72], [77, 103], [22, 48], [39, 64], [122, 147], [29, 55], [68, 94]]; loss = 0.038187 low_pass_filter = 10.000
+Epoch 0: | | 459/? [04:50<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=21.20, train/active_min_children_step=1.000, train step 460; scene = ['22062ed897320134', '8b8f7cd56fb6a696', '11c47219c153c014', '20fa2a9557a949a9', '402071c2b1550820', 'f8a24a1cae5ae861', '591277853eb83777', '71b9b21424e1cc97', '1d4ffe48542eb14b', '6c5d6b6468bc196d', '94f4529096d17f25', '130e2bd2cf4084d7', '7bc09504a215e592', '98fa652433a9a8b7', 'acea865775134a18', '392b692c8c3f4e5f']; context = [[8, 34], [76, 102], [120, 145], [25, 50], [26, 52], [198, 224], [63, 89], [37, 63], [60, 86], [42, 68], [97, 123], [45, 71], [178, 203], [42, 67], [22, 48], [132, 158]]; loss = 0.036872 low_pass_filter = 10.000
+Epoch 0: | | 469/? [04:56<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=21.50, train/active_min_children_step=1.000, train step 470; scene = ['338d0fb7e58dd4a3', '778eaeaaffc6107d', '9dda63b4544559e9', '34461872e645d034', '0684f42098862b74', '0c7171edef36d44d', 'ebde595b532cf60c', '24649be0dd272ffc', '52e13717e8b9393d', 'ee6e5709a57be759', '466666b6242e3081', 'e4e0a2c744fcabd0', '5eeb2c7cd1bd78f7', '409dc0e5cbdbe442', 'db84572032e69dc0', '395b1c86e35e8d93']; context = [[25, 51], [52, 78], [25, 50], [50, 76], [27, 52], [119, 144], [113, 139], [123, 148], [22, 48], [195, 220], [18, 43], [52, 77], [0, 26], [90, 116], [9, 34], [30, 55]]; loss = 0.031208 low_pass_filter = 10.000
+Epoch 0: | | 479/? [05:02<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.20, train/active_min_children_step=1.000, train step 480; scene = ['a134112256d679ba', 'ea334cb643e07603', '8ccc670b427d277a', '40c5311e3b3accef', '4277d8783b6a046a', '91599919681fac69', 'a01c907f0070d11d', '896854a5d7c5179b', '9af7c151a7ca6d00', '5d14e2fa2974d6df', 'a6161601e3a76aa9', 'caee640343f2dc58', 'b9e8ae6d34748bc1', '496e2618d0fb9556', '1b4bf9a4a458e0df', '9810e48786be9e3d']; context = [[71, 97], [32, 57], [46, 72], [202, 228], [39, 64], [123, 149], [59, 84], [16, 41], [159, 184], [29, 55], [153, 178], [115, 141], [78, 103], [47, 73], [25, 50], [144, 169]]; loss = 0.031571 low_pass_filter = 10.000
+Epoch 0: | | 489/? [05:08<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=21.30, train/active_min_children_step=1.000, train step 490; scene = ['d02e6b104723d39a', 'b9b73f46f1e5127a', '1290f3a6418b3dde', 'a535813b18e86b5c', '33e825f8a32b472f', '6a417181b27738ac', '53a2168e29e700dc', '91ac7d7027dcc46d', '57cea8a71cab48cf', 'de8093f620537a4e', '051c6fc0722d51f7', '1318e656455d56d2', 'b86ade7fa8b48715', '289adac94281ccb3', 'b43b9870fd778691', 'ab1ba9f15e793ef9']; context = [[86, 112], [20, 46], [217, 242], [37, 62], [23, 48], [4, 29], [57, 83], [47, 72], [42, 68], [11, 37], [25, 50], [157, 183], [2, 27], [23, 49], [45, 70], [76, 101]]; loss = 0.029935 low_pass_filter = 10.000
+Epoch 0: | | 499/? [05:15<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=20.50, train/active_min_children_step=1.000, train step 500; scene = ['0f35ceaf227ff187', 'e23f945703f61bfc', '7277bcf45f9b2f21', 'd77fc60af718d2e2', '9bebde67fd28d7c2', '0645a4e5ad941af4', '99271aa47d803a6f', '4dd424a2e0a97403', '81431041a033fbc8', '6883aebc73cdcd2a', 'e3ab34faf834f40f', '4986da6c3f01c2bb', '33733a6eb9850264', '57a8005cadd17369', '63c3f51245b29666', '25c60ef8ca347ede']; context = [[4, 29], [4, 29], [131, 156], [185, 211], [59, 84], [78, 103], [171, 196], [95, 121], [52, 78], [153, 179], [66, 92], [74, 100], [160, 185], [150, 175], [59, 85], [53, 78]]; loss = 0.033203 low_pass_filter = 10.000
+Epoch 0: | | 509/? [05:21<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=21.70, train/active_min_children_step=1.000, train step 510; scene = ['a5ec396329b37a88', 'dc02e89f277cc130', '9af18a1c4c45a179', 'd2443f80e34394ff', '1a7af026101df102', 'ff70172dd4ad43ec', '11dc92ba5c0e1ac3', 'bb0c96ae5026135d', 'a62bd02a1223b0e5', '625ef197fa165c4a', 'c2bf5ee569ba3681', 'a33838d396af29c0', 'c911c92ac370270a', '347f4e7f9f627a12', '5450eb5614d8af42', 'aa2ee5c4626a6c43']; context = [[1, 26], [43, 69], [75, 101], [21, 46], [6, 32], [95, 120], [2, 28], [31, 56], [21, 46], [4, 30], [39, 64], [94, 119], [175, 200], [80, 106], [9, 34], [47, 72]]; loss = 0.030350 low_pass_filter = 10.000
+Epoch 0: | | 519/? [05:27<00:00,  1.58it/s, v_num=m89j, train/psnr_probabilistic_step=22.00, train/active_min_children_step=1.000, train step 520; scene = ['59e7800dec3fa9f5', '3ad7fc9a83e3e883', 'a5bcf7c72eb10c48', '89c03784240911c9', 'a24b9835a33fb46e', '4da0f9a3b1ca2560', '19bd0f9c48f069eb', 'c8e5ea381a7de099', '521aa01f117a1f3d', 'a9a1efdde077861a', '009e573e59c8c393', 'fda481eb3ffc890e', '701c95afe128e0d0', '586e189a8bb53cd8', '4c952c27612a3ac7', '997656bdb430ad43']; context = [[13, 38], [0, 25], [130, 156], [71, 97], [88, 113], [28, 53], [42, 68], [1, 27], [66, 91], [26, 52], [115, 140], [47, 72], [74, 99], [75, 100], [39, 64], [21, 46]]; loss = 0.030480 low_pass_filter = 10.000
+Epoch 0: | | 529/? [05:33<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.10, train/active_min_children_step=1.000, train step 530; scene = ['d7e416701d1c4272', 'b9076a13bb94860c', '15536452f9b95c1f', '532786fdf5fd727d', 'a8abd4eeea08e1ad', '30bdb9819e21fbd1', 'b1aa2a14c16deaa1', 'b6974cc96a02e9e6', '05efd1fc549ed5f2', '12adbd00ee2b3fcc', 'a48e4e90b76cc3a3', '4eb66b49aeb1d641', '7043e8afce176c8c', '916572369a42b51b', '4e69d635ba8e495f', '12a8561544c97948']; context = [[86, 111], [26, 52], [179, 204], [12, 37], [107, 133], [84, 109], [65, 91], [18, 44], [106, 132], [12, 38], [132, 157], [19, 44], [51, 77], [233, 259], [4, 29], [108, 133]]; loss = 0.028367 low_pass_filter = 10.000
+Epoch 0: | | 539/? [05:39<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.90, train/active_min_children_step=1.000, train step 540; scene = ['35e2e0c67e738b87', '605c98b35d15551d', 'e9b9ad20889455df', '73df004467108123', '41d454a6a4ccc3c6', 'ab03c2979623d6cb', 'c1628e1f1e308fb6', '5fc14076d0059d8a', 'c3f1d0f6da5ce21d', '3985b66cc91776eb', '36d957c25ce3a65d', '1a402532663d05ad', '4af1f08d7b5d1523', '837d2467631c6e6a', '6545dab9a4699ef0', '7eb0dffcddc1722c']; context = [[80, 106], [121, 146], [22, 48], [0, 25], [136, 162], [72, 97], [7, 32], [114, 139], [217, 242], [71, 96], [189, 214], [144, 169], [78, 104], [66, 92], [43, 69], [60, 85]]; loss = 0.030986 low_pass_filter = 10.000
+Epoch 0: | | 549/? [05:46<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.30, train/active_min_children_step=1.000, train step 550; scene = ['ab8e80684547f15c', '8de0c4ae0c5bb988', 'aee9e4231eda0fdb', '59ee32c2dccc3dba', 'b210bb589468fb4d', 'dc5f38f005c3ebd6', 'e2ce81d901cdd6c7', '08527853c5cf3f4d', 'e09c7a12828e1b49', 'b113c611f9029c49', '340688cb63ead6f6', 'bae2d6272431c8eb', '7ffd821c6ca83444', '05d0fcfbe36d261f', '50c8b8855897d03a', '5e68140473b7fb10']; context = [[165, 191], [45, 71], [80, 106], [146, 171], [11, 37], [80, 105], [29, 54], [1, 26], [100, 125], [20, 45], [48, 73], [145, 170], [6, 31], [37, 62], [47, 72], [12, 37]]; loss = 0.028458 low_pass_filter = 10.000
+Epoch 0: | | 559/? [05:52<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.30, train/active_min_children_step=1.000, train step 560; scene = ['60a584cf224950a4', 'c38835db6bec2825', 'b86f88d0d21318cd', 'c0e9d9f4f60169e0', '3ec1eeba0cc084af', 'f8ee5a395e856a9d', 'c532c6f1dbe975b7', '34037b62eef60172', 'b5f39f444ec03cee', '7c6d160c26de6887', '0f0bbb6510ca3018', '99e9f09b456ef23e', 'c49bd62c183dd925', 'd066040e500bd58b', '87c9128b943f1b3f', 'b07a54eda9cdaccb']; context = [[46, 72], [81, 106], [52, 78], [21, 46], [69, 94], [4, 29], [14, 39], [29, 55], [1, 27], [111, 137], [33, 58], [22, 47], [29, 55], [14, 40], [26, 51], [74, 99]]; loss = 0.030504 low_pass_filter = 10.000
+Epoch 0: | | 569/? [05:58<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.000, train step 570; scene = ['43cd8bfd1bada381', '2c3bc0c318fa3771', '9a2d4c60e9585ed7', 'b7873e1ebdb5721f', 'ea2343e4a390441b', '95cd0bad15de18a9', 'aa801c6cfb72fdf8', '51e99330cbe8b36a', 'cb3bac70297d52c0', '04de1a4925ce16a7', 'c2648243586329ba', '699dc0e0cbd1d2d5', 'ff4fb430b2108b32', '6dd73ce2d44e63de', 'd73dae9e6ffe86dc', 'f0db130b452071e8']; context = [[0, 25], [52, 78], [132, 158], [51, 77], [37, 62], [77, 102], [14, 39], [38, 64], [153, 178], [64, 89], [30, 56], [202, 228], [12, 38], [84, 109], [29, 54], [3, 28]]; loss = 0.030954 low_pass_filter = 10.000
+Epoch 0: | | 579/? [06:04<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.000, train step 580; scene = ['503b736751827a0b', 'a5b3faa684a1553a', 'cbae7b8786bec1e4', '31c1855b8ad30220', 'a772b5f2e834d70d', '162daefc4ddae544', '363ee2c7afc81e84', '7dcdecb79cbb1334', 'e4d86068c95e0922', '4ec29bd9dfd30c2e', 'b0f5b20c5724e592', '31411305ea3662c6', 'fe8c395dd70d4844', '3bee0daad1cc6c0b', '9a89163b62f0a058', 'b9277bf4125499a0']; context = [[10, 35], [26, 52], [185, 210], [91, 116], [68, 94], [20, 45], [100, 125], [54, 80], [176, 201], [10, 36], [72, 98], [144, 169], [104, 130], [153, 178], [166, 191], [41, 67]]; loss = 0.028471 low_pass_filter = 10.000
+Epoch 0: | | 589/? [06:11<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.10, train/active_min_children_step=1.000, train step 590; scene = ['bd006cf0a751d205', '4d48befa72535f0a', '2147da0f465a3566', '8b12ac02ddbe40cb', '8481bc2172478625', 'e454026f5348630e', '201e44ad015728c7', '9029d8d8f6f0e98a', '307049b9515d7ee6', '95b1deb2d645f275', '3c418948bc7076cb', '28cab3659a1510a8', '6666ae9375b1656e', 'fd4d668123665d1f', '46d11fdef3f136d3', '3323fc8b3b6bccbc']; context = [[70, 95], [87, 113], [23, 49], [11, 37], [82, 107], [46, 71], [132, 157], [112, 137], [10, 36], [89, 114], [101, 127], [42, 67], [3, 29], [154, 180], [112, 137], [10, 36]]; loss = 0.033355 low_pass_filter = 10.000
+Epoch 0: | | 599/? [06:17<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.80, train/active_min_children_step=1.000, train step 600; scene = ['80f5da17b4119bbf', '93416bc86e84f4c5', '91722542cd063407', '93e09aeb0a7c54d4', '63f6e847b2e2a2e7', 'a7957a1e2b7ad909', '1045f4f8fd6bdd09', '982da008194b287c', '8d758914077e5926', '6cee4547c99f248b', '4a0f95a3db913b56', 'de8ef03bc3c49125', 'be6ab5e68b93a77e', '4b2e9dd96e4d8542', '8cbb325cdb64a928', '8e129a4801a9f632']; context = [[247, 272], [90, 116], [71, 96], [6, 31], [136, 162], [170, 196], [35, 61], [3, 28], [105, 130], [15, 40], [46, 72], [11, 36], [21, 46], [48, 74], [0, 26], [8, 34]]; loss = 0.028321 low_pass_filter = 10.000
+Epoch 0: | | 609/? [06:23<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.60, train/active_min_children_step=1.000, train step 610; scene = ['e53ec34eab835d44', '180608332f0b1b2a', '2225123ef31a93e4', 'accfed2fa6ff849d', '75e5ba7e7fb64fc0', 'd0aafe6b7593a8c6', '89b54f912927a60b', 'ac5df5f432218bc1', 'e0b48fb2ddbbe96b', '430ed582e79c5bab', 'dbc96a6d523c159f', '61d8e6311f28fae8', '36df4bc97cbd94f0', '179fbbbcc3e6e195', '448e12a47b369490', '57a522ee28c2896f']; context = [[2, 28], [100, 125], [133, 159], [52, 78], [90, 115], [79, 105], [79, 104], [22, 47], [59, 84], [95, 121], [163, 189], [90, 115], [27, 52], [30, 55], [47, 73], [65, 90]]; loss = 0.030812 low_pass_filter = 10.000
+Epoch 0: | | 619/? [06:29<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.30, train/active_min_children_step=1.000, train step 620; scene = ['478386221245bac9', '04c740af3de5ae4c', 'bea0e295ee56d42c', '986d6bdd6646acbf', 'bd0f82f93d5693ca', '52aa7676145d5273', '56d0236a2c56b534', 'd1300efa0f9232ac', 'f6a68923ac68bc4a', 'f8f0491a2268ee5e', '6e637d0641b0d845', 'c956b44c983826de', '0abbdaad60ccd753', '27cf7ba27eed1eae', '14b48961c5e1364c', '1fe3e0dfb0bebffe']; context = [[49, 75], [28, 53], [59, 84], [44, 69], [97, 122], [47, 72], [63, 89], [37, 63], [65, 91], [10, 36], [93, 119], [146, 171], [0, 26], [17, 43], [67, 93], [4, 30]]; loss = 0.028944 low_pass_filter = 10.000
+Epoch 0: | | 629/? [06:36<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.000, train step 630; scene = ['53e532801bd44085', '69fc02421193302a', 'a5822c29e761ba5a', 'af7f730cb84dc631', 'f344839ca7c971b7', 'd3dddf816450d1d0', '59a2ea0122aa4591', '030d035ba47fecc3', '41c2debbaa89e15f', '0e9005332bd00350', 'f23d671496254ef5', 'f12268aa63c53837', 'd38fcceec78870bb', '458d2a1fcd766d41', 'd2753ca4cb61778d', '33c23461406aadc8']; context = [[31, 57], [91, 116], [18, 44], [155, 181], [104, 130], [81, 106], [88, 114], [30, 55], [115, 141], [29, 55], [106, 131], [44, 69], [8, 34], [2, 28], [4, 29], [30, 55]]; loss = 0.028106 low_pass_filter = 10.000
+Epoch 0: | | 639/? [06:42<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.000, train step 640; scene = ['7faf1c350d3f1f12', '5746d03325bf70d3', 'a6dbaee66b58a994', '2289780f7fdb5091', '35a67ce0f0a56dea', '4e11b2499f900054', 'b97d670a564c4f01', '5704ff301c085eb6', 'bbb0e9da2dddcfce', '33847bd0ad0529bd', '2ff050f5f09529d0', 'bd70de468feeaf26', '7b3ed343513dc1ba', 'ad1b9085098baa13', '8fa1f01dcf1e67ec', '874157e6587dd60c']; context = [[27, 53], [118, 144], [6, 31], [82, 107], [2, 27], [47, 73], [60, 85], [144, 169], [22, 48], [2, 27], [1, 26], [20, 46], [0, 25], [0, 26], [46, 72], [13, 38]]; loss = 0.028446 low_pass_filter = 10.000
+Epoch 0: | | 649/? [06:48<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.30, train/active_min_children_step=1.000, train step 650; scene = ['2c0f63521c7e23c6', 'd11dfc2d4c7f412c', '26efd6cf15fcdd57', 'ed5029418049d85e', '600470a337c98190', 'd8eb3a556fde4131', '65134afb11a85252', 'a00a4bace03ba9b9', 'fd3490bd670b5b80', '95281743bb229945', '54f68167ea012743', 'aadfba62f23cd2d5', '67d059492bf13057', 'bebcc76384ce0054', '5f2d539c6dcc0a82', '7abd2cf015e33118']; context = [[7, 32], [10, 36], [32, 58], [73, 98], [179, 205], [14, 39], [46, 72], [4, 30], [9, 34], [24, 49], [59, 85], [24, 49], [86, 112], [52, 78], [158, 183], [48, 73]]; loss = 0.026567 low_pass_filter = 10.000
+Epoch 0: | | 659/? [06:54<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.000, train step 660; scene = ['a9272405ceec0be2', 'd77284dc9b9d1031', 'c270572a7f5ea828', 'ee28455c2e76ef79', 'bdb2281a7c9f1ce5', 'f14721fab585c585', 'd011c2b2ac6ccc0d', '4412131879034bc2', '460d2009e8c97d4e', 'afd2942e07cd0a89', '3281beb44b21ae80', '874e813188a281e4', '175b05b368c133e7', '5c399d154f879440', '29ad06f3162b2bc1', '35fe94a6f4b752b3']; context = [[26, 51], [14, 39], [102, 127], [182, 208], [16, 41], [43, 68], [56, 82], [29, 54], [103, 128], [22, 47], [64, 90], [75, 100], [26, 51], [21, 46], [27, 52], [5, 31]]; loss = 0.026384 low_pass_filter = 10.000
+Epoch 0: | | 669/? [07:00<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.000, train step 670; scene = ['9a94e71cea472790', 'bea3977d3073b2d2', '276de289278edacc', '0304b78786c9cc4f', '56f957c4bc88fa94', '78ca16a59dd41338', 'bedc784fb1794f8c', 'a61c8d77fdac60ca', 'f00a77b3b162ac4b', '4f0b9b05ed188565', '1fe4a6141969e60a', 'badfd7edf4b25b37', '856ff8cdb67ce060', '771c99720c383982', '42b2dabdc5ea4d93', 'cf0f25dfe419c0e5']; context = [[40, 65], [82, 107], [7, 33], [90, 116], [26, 51], [191, 217], [40, 66], [220, 246], [33, 59], [46, 71], [13, 38], [88, 113], [219, 245], [26, 52], [82, 107], [69, 95]]; loss = 0.027820 low_pass_filter = 10.000
+Epoch 0: | | 679/? [07:07<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.10, train/active_min_children_step=1.000, train step 680; scene = ['dbd909b37336a7d4', 'a5a9c7400a09168b', '91ea7e8b11190fdc', '575979a8750fbd67', 'b09331320276c019', '4a3fd9a21123f197', '3ba6e1145c8b37a9', '839b542ef0c0696e', '02a36358f7cff958', 'c0e29365bc5f76fa', '5b4ae8c5f7349c17', 'df607878c3beffe9', 'f62a48672f8acac7', '97568a7f147a654f', 'f63942420154ff92', '632384f4c6834aea']; context = [[26, 52], [14, 40], [19, 45], [23, 49], [28, 53], [11, 37], [28, 54], [57, 83], [91, 117], [11, 37], [109, 134], [2, 27], [17, 42], [9, 35], [224, 249], [105, 131]]; loss = 0.025355 low_pass_filter = 10.000
+Epoch 0: | | 689/? [07:13<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.30, train/active_min_children_step=1.000, train step 690; scene = ['668011916dfc9762', '6e23ea0adefdcdfe', '0fef731ee5f47c37', '8d45251c07bebb7b', 'ef8353177113530f', '400098a7ab312bdc', '4f2295416524f95e', 'dc48281d021ea939', 'c61d93b01fd6e377', '17f8f8682a86f190', '6a089a1af0cd47d3', '8044c8eaddd8149d', '7665ff641f430aa5', '882c2c3ccb2f06c3', 'e41c98366fe40b7b', '21e7ab7fe9d8753b']; context = [[15, 41], [53, 78], [8, 34], [36, 62], [52, 77], [51, 77], [19, 44], [69, 94], [38, 64], [128, 153], [6, 31], [91, 116], [124, 149], [33, 58], [27, 53], [48, 73]]; loss = 0.030617 low_pass_filter = 10.000
+Epoch 0: | | 699/? [07:19<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.90, train/active_min_children_step=1.000, train step 700; scene = ['e9f0dce281fc1ef2', '7eba39d96769f1f3', '92cffae82bfb22ce', 'e1eaaeb084992db2', 'a987dc34de0f7d8b', '8ca0262e75fd9f8b', 'dd0418fa73c25b1e', 'fbfb9866efe5bf64', 'dd409b33f3f5c29b', '644baf494fab7ff7', 'd81f183e644ae7fe', '88b43de931cc94ac', 'fad05546fba5dace', 'bbf7acd688e96278', 'dca4d9700ae80a91', '6ac14f7de01b3021']; context = [[9, 35], [158, 183], [29, 55], [89, 114], [42, 67], [25, 51], [19, 45], [45, 70], [174, 200], [64, 90], [3, 28], [43, 68], [24, 50], [3, 28], [2, 28], [40, 66]]; loss = 0.027938 low_pass_filter = 10.000
+Epoch 0: | | 709/? [07:26<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=20.90, train/active_min_children_step=1.000, train step 710; scene = ['7a1a5b280aeed1d1', '3ca192a6f7bd3055', 'b87f3bd2e5b947d9', 'b08fff272e1c806e', 'e40db329b18cfe34', '96405403953c2a44', '9d9e27f41396c20c', 'cb7ba36fbae70c01', '721707ada01bdffe', 'aa9daba10b590900', '0209fa7ef8a06022', '2f0a6c64c44f9979', '89ad52b52eb4ba60', '885587f42ee4e11e', '88b8bb15bd256558', '3d928d1613742585']; context = [[195, 221], [4, 30], [164, 190], [21, 47], [171, 197], [13, 39], [68, 94], [44, 70], [99, 124], [8, 33], [4, 29], [121, 146], [10, 35], [13, 38], [9, 34], [13, 39]]; loss = 0.026510 low_pass_filter = 10.000
+Epoch 0: | | 719/? [07:32<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.000, train step 720; scene = ['ee3c9edbf6eedea9', '8a39c6b779b31dd4', '68320cab3a271ea3', '43544bc50a0d09ee', '494a0bebf7e6139e', '8a37947c1ad8c097', 'b20f139496853291', '14a700b34bfafc6f', 'fe1fe887ee20d877', '10491baf9035e557', '651e203d4e42216f', 'a2b08d5c241d54ec', '3c1022cc42279d6b', '218723a8059f18ac', '9f4b04caeaccc100', '26197c5e7d9e117e']; context = [[17, 43], [4, 30], [112, 137], [30, 55], [47, 72], [10, 36], [32, 57], [15, 40], [60, 85], [22, 47], [58, 83], [5, 30], [0, 25], [6, 32], [1, 26], [53, 78]]; loss = 0.029698 low_pass_filter = 10.000
+Epoch 0: | | 729/? [07:38<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.90, train/active_min_children_step=1.000, train step 730; scene = ['a57232a4ef2ec923', '564a9a401e37c50b', '53e05632cb9141bd', 'df869fb963216261', '6744c1cf4e4dee91', '509496bad5a12f79', '06917bbe38912ea3', 'e92e4346a6224492', '9a725436379352e6', '5e55a38946593552', 'c5603a5e8498a827', 'f5338d00f9c021a3', '2cc2af36e6bb9fed', '547ebf48151eef4d', 'f603fb7c184a9103', '31304e5e03a0a335']; context = [[54, 79], [23, 50], [31, 58], [8, 33], [199, 225], [232, 259], [162, 188], [2, 28], [38, 65], [53, 79], [32, 58], [89, 115], [7, 32], [59, 85], [36, 63], [123, 148]]; loss = 0.027243 low_pass_filter = 10.000
+Epoch 0: | | 739/? [07:44<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.000, train step 740; scene = ['f8ff67683c2323b8', '070e03b0709a0c7a', 'dfb585600cfa6d6e', '8062e068d364879e', 'bbb9d583807930d7', 'e68962be9d5fa78b', 'c098a117d37c1b11', '75d62d0707d1240e', 'c8b2e4d3f9fe541a', '67353f28c5452f17', 'd4aac0088971ad5d', 'a39b07c625f4fbaf', '086fc9b0951ac9ff', '42e11bb83f385317', 'adaa895408584f36', 'f52ea4df10c6472b']; context = [[122, 148], [88, 115], [89, 115], [92, 117], [25, 50], [46, 71], [26, 53], [137, 164], [60, 87], [117, 144], [1, 28], [80, 105], [103, 130], [56, 81], [150, 175], [0, 27]]; loss = 0.027157 low_pass_filter = 10.000
+Epoch 0: | | 749/? [07:50<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.000, train step 750; scene = ['3ca9f2ea058b7220', '032961ac14c9b53a', '90a599cbae3f7f49', '4be99782bb201a87', 'd5a3940bb6a3363e', '31f802c4d94b2a8c', 'fb46a820975c2449', '17305b0b98053dee', '9c437a1ff26fc63d', '4bf92848b7ed1bcd', 'df21bcc5b49bc2bd', '3de485eddabc0ae8', '39d39ebdd5959a48', 'f7fd59b61fd90975', '77cba126c83354bb', '23997b17e26ba688']; context = [[26, 53], [15, 40], [100, 126], [24, 49], [134, 159], [84, 109], [99, 126], [227, 252], [142, 169], [15, 41], [18, 45], [11, 36], [39, 65], [44, 70], [2, 28], [17, 42]]; loss = 0.029894 low_pass_filter = 10.000
+Epoch 0: | | 759/? [07:57<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.30, train/active_min_children_step=1.000, train step 760; scene = ['f00a0701904b2128', 'c4bfdf6f3a6c774d', 'baaba9c7644ef952', '55671e2db4657b00', 'b4bbab891a72ff1f', '390c8df752d7b22e', '756790007006f209', '05846e2bbc1ea5e0', '60f92bcb07109c4a', '0cd0baf1a9e3847a', 'b3e02abe2e692d4f', 'f35b530672b42ba5', 'f8e32278bb006569', '693db81439adb0d3', '65410d22f0d980f7', 'fd8dec4cd31f64b8']; context = [[0, 27], [35, 60], [23, 49], [153, 179], [113, 139], [70, 95], [14, 40], [63, 90], [9, 35], [13, 39], [1, 27], [42, 67], [96, 121], [223, 249], [169, 196], [6, 31]]; loss = 0.027570 low_pass_filter = 10.000
+Epoch 0: | | 769/? [08:03<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000, train step 770; scene = ['ab6103c00d052f04', '7f4c7bd5a9e3cddd', '331af0d1363e80b3', '4d5af03e77b032ba', '95307cda066e2664', '1dbd139488ac84b3', '8b7378a3996ee778', '26b8065adc153c13', '2a4fe9d5f507d831', '548ad1b923e633d8', '92a1f3ab5dbe634e', '4e437d66420067c2', 'c3165a339b9a09e5', '4e4985c5a76ac0e5', '5ac80497fad02a9a', 'a0f148d59958f742']; context = [[36, 62], [53, 79], [46, 71], [61, 88], [202, 229], [5, 32], [102, 129], [1, 27], [67, 92], [28, 54], [2, 29], [30, 55], [101, 126], [71, 97], [85, 110], [38, 63]]; loss = 0.027449 low_pass_filter = 10.000
+Epoch 0: | | 779/? [08:09<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000, train step 780; scene = ['1d80884a4b201f28', '1fba7a1a16edf7db', '2bf2121510674b04', '04c4c5a25b4ccb21', '17d74baebc458fb9', 'edf8fdfe10fb893c', '77a0fdc6389de36b', '90686fbf5ca9bd0a', '232da3c3c432bcf5', '2804817967c9ab8b', '34769f82ff4b286c', '4df2a98cf2678d8c', '2eacf9db1843546b', 'c1f32a7a7ec37d39', '6187332401a328eb', 'c495f01f294333ee']; context = [[23, 48], [107, 132], [107, 132], [22, 47], [58, 85], [206, 232], [46, 71], [40, 67], [86, 113], [14, 40], [21, 48], [7, 33], [13, 39], [22, 49], [164, 189], [23, 48]]; loss = 0.029819 low_pass_filter = 10.000
+Epoch 0: | | 789/? [08:15<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.80, train/active_min_children_step=1.000, train step 790; scene = ['0cbf1454a4391523', 'f3b24cf238154fc0', '9bb0448e7cb2f733', 'dff181c503e5c202', 'f0b0c2b2fa790b94', '4b30f3b820875a1a', '4a218ddfc3698ca8', 'bc34ecfb3c809d97', 'bca757afa6825a39', '75f7df7e153bb467', '51ba892c38152086', '84335596c296225a', 'c121bf6c2929cfe1', '1e796863c062efaa', '995f249ace489797', 'edc39c2e54f4dd24']; context = [[124, 149], [9, 35], [28, 53], [108, 133], [12, 37], [28, 53], [16, 43], [67, 92], [13, 38], [50, 76], [69, 94], [196, 223], [30, 55], [13, 40], [10, 36], [12, 38]]; loss = 0.027113 low_pass_filter = 10.000
+Epoch 0: | | 799/? [08:21<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.000, train step 800; scene = ['b1818f89f71d7ede', '1dc0f9200778b6ff', '8bb9dfb202abb4c0', 'd8cd8e74983c2ed5', '9c8a304979cbc7da', 'f00e57d3e757b12e', '96ba226de3006d1b', '49cdcdc8c9fe71f2', 'b7e287b139583003', '04221c6266b4fbb5', '11db2e14d64c1b42', '51f80353f6008c4f', '564437b001139667', '5b7e5ce68733bcc4', '7850797441a57de9', '12048355d2052d78']; context = [[46, 73], [31, 56], [109, 135], [97, 122], [181, 207], [130, 156], [13, 40], [12, 38], [105, 132], [61, 88], [114, 139], [110, 135], [118, 143], [110, 137], [42, 68], [46, 71]]; loss = 0.026276 low_pass_filter = 10.000
+Epoch 0: | | 809/? [08:28<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.00, train/active_min_children_step=1.000, train step 810; scene = ['f841958b4f3ea9b6', 'b5a711e9d6e9f7d2', '81239a4d26b89db3', '0c55d99325327032', '0fa3084a8ad67f81', '1766b288f284c234', '792c3b369bcd98f6', '600aa1de0c963a27', '7d81b28b7afe5738', '6b93a9fa1ce08986', '71843154fd778989', '6e024fbe00be60cb', '1cacfe69c509febf', '2765f5d2bd45f599', '591324b1a786d91e', '04740510b6d96720']; context = [[36, 61], [5, 32], [74, 99], [35, 61], [59, 86], [137, 162], [40, 66], [1, 27], [97, 123], [36, 62], [8, 35], [55, 80], [29, 55], [36, 61], [67, 92], [35, 62]]; loss = 0.029217 low_pass_filter = 10.000
+Epoch 0: | | 819/? [08:34<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.000, train step 820; scene = ['a0cd80f2815b8716', 'e649e3010fab6d40', '3f4cacc2a74df04e', 'b887116c5ac0c3ae', '3bdacd796a82e581', '1631053dcc53cb87', 'b555afebfcce407c', '2405f8024d2d8efa', 'b31dae3a8edd6af8', 'b12f99acac988ca4', '6df08dcd841c4b9b', 'fadf8681f71b6225', '2a16f86d8c47f471', '082c57765925eb2b', '02c39509dcd964e8', '9de33e466a02ea23']; context = [[92, 117], [61, 87], [5, 30], [3, 28], [85, 112], [19, 46], [43, 69], [55, 80], [38, 63], [60, 87], [35, 62], [41, 67], [6, 31], [7, 32], [97, 124], [143, 168]]; loss = 0.028880 low_pass_filter = 10.000
+Epoch 0: | | 829/? [08:40<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.00, train/active_min_children_step=1.000, train step 830; scene = ['0841dc352b358629', '9308b0309e860d89', '804c26118696da0b', '6f29d2f4950be336', 'de40426a00dab49a', '546bf84eac7404e8', '11730d25b6f6361b', 'f1f5e26cb49fd2a5', '15cd8f43f173d0e3', 'e1fbf58a49076d36', '2d4b0725e43dc211', 'c2923fa433879e60', 'cae0139a521aa052', '08127a499408b79e', '591bf6ac3800ca21', '811e5be9bf8e26ca']; context = [[102, 128], [51, 76], [31, 57], [2, 27], [16, 42], [5, 32], [101, 128], [0, 25], [3, 29], [3, 29], [66, 93], [175, 200], [20, 46], [21, 46], [5, 30], [205, 232]]; loss = 0.033049 low_pass_filter = 10.000
+Epoch 0: | | 839/? [08:46<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.000, train step 840; scene = ['f7d5f1a8df9d773f', 'e426679594077686', '1d954e607bc2a8f6', '2290ecbf83cd253e', '9c7c42260596ac3d', '0482811bdc4713a5', '5e78458cfb6b8150', '61327ef41f3b72f1', '74e1a98290b34a81', 'ecc15d661d8dbe9f', 'cfec50872cec53bc', '6a4fe529a00082f2', '6a6beb90616e4f37', '42c7147c591f47cb', 'b05e5158361732c9', '5f22fdf235746488']; context = [[21, 47], [55, 81], [27, 54], [42, 67], [21, 47], [117, 144], [37, 62], [0, 26], [196, 222], [210, 236], [35, 61], [140, 167], [69, 96], [3, 28], [142, 168], [20, 46]]; loss = 0.026811 low_pass_filter = 10.000
+Epoch 0: | | 849/? [08:53<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.60, train/active_min_children_step=1.000, train step 850; scene = ['ceba0c9064ef2075', 'f249fdd072d2d35d', '93f0ba6797c67f20', '9122be71240bb162', '9168f179a84dcc90', '2d5886bd890632c6', '7e72a2e96b39c149', '2ca7a809dda33d8e', 'c0ee12e05d7032af', '01d4d24e9f33aa8f', '0cf6039feb87cb09', '825d0b6a944ea867', 'b811e125c84adff1', '3ffc4b7822281c60', '18711838050bef0d', 'fcfd650da12e293f']; context = [[107, 133], [0, 27], [28, 54], [155, 182], [9, 36], [244, 269], [33, 58], [149, 176], [45, 72], [58, 84], [62, 89], [14, 39], [56, 83], [25, 50], [164, 190], [155, 182]]; loss = 0.027544 low_pass_filter = 10.000
+Epoch 0: | | 859/? [08:59<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.000, train step 860; scene = ['a221a85eb7d833b1', '8985d94d0dd98a65', 'dbf748364163182e', 'd5c1933c67b49875', 'f73708f8f2c1fcc0', '97133598e9144794', '4c4fce2df53535d6', 'ac1e985cf3a2df12', 'ca90cf157ecaadfe', 'c8b8300236a7220a', 'faaa1fa7767acf25', '0ab79d1b1d783e01', 'a7621aea5c101536', '7f11c968deb89da5', 'cc039d2dde109d6f', 'a06b2802ca08da31']; context = [[84, 111], [41, 66], [101, 126], [133, 160], [38, 65], [97, 122], [65, 92], [39, 66], [105, 131], [12, 39], [0, 26], [5, 30], [6, 32], [251, 277], [85, 112], [67, 92]]; loss = 0.026380 low_pass_filter = 10.000
+Epoch 0: | | 869/? [09:05<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=20.80, train/active_min_children_step=1.000, train step 870; scene = ['96fcce02a7674e02', '9a9367ff87294587', 'aaa8dfa7e8498bd9', '5019925808a59723', 'f5934f621b0a002a', 'db77e4c30e954d3f', '23c177f84829d2a6', 'ecc88f03e2e5ef81', 'fb331a491ca2e5e0', '1a2ea561c9c8f419', '3a13e56691c8396e', 'bc67854fca5cdac2', '59e04cb072686a97', '31ba0028326b8b17', '82b8b4c5e983729f', '1b8abd07e10f4e79']; context = [[241, 268], [48, 75], [39, 65], [245, 271], [126, 151], [105, 131], [204, 231], [241, 268], [3, 28], [8, 35], [29, 56], [5, 31], [167, 192], [102, 128], [77, 103], [69, 96]]; loss = 0.027282 low_pass_filter = 10.000
+Epoch 0: | | 879/? [09:12<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.70, train/active_min_children_step=1.000, train step 880; scene = ['5e70f8dc0da2945f', '4b7302601da9f913', '6f8ab470e569eced', '4886ce15c821b292', 'a30a83cc257714b2', '774d16d7b7d3ab87', 'c279649ebcdbd4ac', 'e1b0771ca0e3df03', '191f33c96812c34d', '43668ae8f0e517be', '176f7bab982f3aa4', 'e41818c1a640f355', '3670ced044c09f1c', '16e752a0b2952804', '37311e860b1ef72c', 'de5195b1d4b5e650']; context = [[36, 63], [161, 187], [20, 45], [15, 40], [12, 38], [69, 96], [22, 47], [67, 93], [46, 71], [56, 83], [215, 242], [175, 202], [9, 35], [192, 218], [197, 222], [187, 213]]; loss = 0.025728 low_pass_filter = 10.000
+Epoch 0: | | 889/? [09:18<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.00, train/active_min_children_step=1.000, train step 890; scene = ['b41d3898f57085e3', '1182579e7ca4ef88', 'e7b0248022eae778', 'b8e91cbe57d886af', 'a308376472392fc6', '011fbca4c333495f', 'c38816ffe6b2c633', '2598b88b7b7d2119', '683c969b32f1b4b6', '1fefe15b477db1e5', '35d9cc4d7e5487a1', 'e5537547dd598187', '32261dd2941cfcae', 'c0e387d3a6285a32', '0cb47bf3e9ed3aa5', 'e55496b6c4f860e5']; context = [[181, 208], [60, 86], [0, 27], [20, 46], [9, 34], [46, 73], [152, 179], [26, 53], [120, 147], [146, 172], [46, 73], [27, 54], [68, 94], [40, 67], [36, 61], [18, 45]]; loss = 0.028361 low_pass_filter = 10.000
+Epoch 0: | | 899/? [09:24<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.80, train/active_min_children_step=1.000, train step 900; scene = ['d44eb5d03836bfa8', 'd312027b19525a5a', 'ddabc74cbdf2849b', '72040346a65ca209', '06f384602bc7e787', 'de2ae796f06043da', '51b04fd9435b6853', '74b69334da4939e2', '7257497d7ddefa3f', 'da0f564e5210d09f', 'fb862259dcc8a0aa', '8eb77501b906faf0', '047b9960d19e3c60', '0492445f09a9bb4b', 'd7699c99c299376f', '87dcad4e125ff354']; context = [[0, 25], [26, 53], [6, 32], [242, 267], [77, 104], [53, 79], [61, 87], [48, 75], [125, 151], [57, 84], [41, 68], [56, 82], [216, 242], [213, 238], [90, 115], [160, 185]]; loss = 0.024251 low_pass_filter = 10.000
+Epoch 0: | | 909/? [09:30<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.00, train/active_min_children_step=1.000, train step 910; scene = ['af5bc2b9cb5f4dd5', '70e06d0ca9ba12d7', '7cae2e82f768bd58', '75d09be60110e2cd', '8c6613326c9bb024', 'd20cec74d90a31b2', '28cc23ff81e8c7cf', '3c8b0bb757a118b9', '1ffe77b1a0efd127', '7fa1e8ca5ff1aa0a', 'c201594babef23f6', '4e5a24edeab27bde', '0081cfd790d7ad74', 'c8c1e40f50b1ef9d', 'e73b93ff29fb6e8c', '8d19f2c27abf126c']; context = [[0, 27], [1, 27], [133, 158], [23, 50], [79, 104], [51, 78], [181, 206], [37, 62], [13, 39], [48, 74], [3, 29], [17, 43], [25, 51], [63, 89], [53, 80], [68, 93]]; loss = 0.025543 low_pass_filter = 10.000
+Epoch 0: | | 919/? [09:36<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000, train step 920; scene = ['d5788ecb38219348', '75840717ecdc2325', 'afb5096c52233388', '706571cd6a9c16a4', 'd7798982569c2714', '334f192d01193f36', '6f3b47cc1831979d', '81124fd6dfc66253', '6131f8c669e8060f', '2b91070adf840bcb', '89d2c2d9e3aee457', '21691784e9e84e35', 'ded38d3ae876e8dc', '0a1aa875aca3711d', '9005d1006b63b2ab', 'b4c2e12ad3d75efd']; context = [[231, 257], [7, 33], [31, 56], [7, 34], [72, 97], [49, 76], [60, 86], [74, 100], [97, 122], [68, 94], [10, 36], [96, 122], [9, 36], [15, 42], [13, 40], [7, 32]]; loss = 0.025553 low_pass_filter = 10.000
+Epoch 0: | | 929/? [09:43<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.70, train/active_min_children_step=1.000, train step 930; scene = ['51832326c2486521', 'ae91ec6e3aec00c2', 'e80172c489f74813', 'e034bdb73350efdb', 'b2e5932f5b358c92', 'f80af1dc6cf2854c', 'f8e3b85a21b25764', 'cac8ff0742e1ef7e', '6e6ce6a006f044a6', '9aba38d959e85c32', 'd68ad9834919913a', 'de11e8525444b3e6', '7770c9fd63ae19d3', '929ac3c28edde369', 'fb807a4a935011f1', 'bc920b78aab35655']; context = [[56, 81], [31, 58], [152, 179], [1, 28], [63, 88], [27, 52], [17, 43], [62, 89], [3, 30], [15, 42], [94, 119], [161, 187], [49, 74], [3, 28], [12, 37], [53, 78]]; loss = 0.025312 low_pass_filter = 10.000
+Epoch 0: | | 939/? [09:49<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.000, train step 940; scene = ['6792d6a4f4e87e24', '06f60580eba61d9d', '42c7147c591f47cb', '5d167006936398f2', '5f22fdf235746488', '337c66222a513af2', 'ecc15d661d8dbe9f', '2d417198a5ebd20e', '6a6beb90616e4f37', 'cfec50872cec53bc', '8b3765816a0cb218', 'fa3c7a9b31e5ab10', '6ad2c6f0c0c903e8', '96fbaabf762077c5', 'af37a973266b99fc', '00d80d0e284dac72']; context = [[41, 66], [29, 56], [13, 38], [18, 44], [35, 61], [67, 93], [86, 112], [77, 103], [89, 114], [11, 37], [24, 49], [8, 34], [53, 78], [6, 32], [15, 42], [42, 68]]; loss = 0.025669 low_pass_filter = 10.000
+Epoch 0: | | 949/? [09:55<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.000, train step 950; scene = ['d1a496112cee9a32', 'd069c35354465fa9', '1db855eb2be5b983', '09a1e9bbded02341', '3918e4998619b227', '2a23966bfac99977', 'b6f65429632f92fa', '14270bac7ebd4ce4', 'f372609a6c75bced', 'b4a46c5d2d8d0415', '30e1d420b926d6f0', '8902e97c5814433e', '161cc1c3c7d7f131', '52ba723e1b5e31da', '7bf71b62cccdf2fa', 'b23cbee05407661d']; context = [[48, 74], [8, 34], [151, 177], [65, 91], [127, 152], [84, 109], [21, 48], [30, 55], [79, 104], [14, 40], [42, 69], [22, 48], [1, 27], [148, 174], [62, 88], [89, 115]]; loss = 0.027652 low_pass_filter = 10.000
+Epoch 0: | | 959/? [10:01<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.000, train step 960; scene = ['3ba287815c2fa8bd', '4d9de907289bb1b6', '90b3a044d5c4522e', 'da500b24da7a495b', '5205c4ab691fab79', '979583f22bb73aef', '8c42a0b02e4b80e7', '643a17e2e87792a1', '6af3dac3387f0c7c', '2b85a6b46f2ea8de', 'fd7e46c14085c76d', '789e60a632f1c397', '4bb8768dea446ee1', 'ae846b6a792cadc1', 'e72abbc2e978475b', '6a11871c9643bd79']; context = [[34, 60], [138, 164], [9, 35], [17, 42], [128, 155], [55, 80], [35, 61], [18, 44], [149, 176], [1, 26], [132, 159], [16, 43], [44, 69], [201, 228], [44, 69], [28, 53]]; loss = 0.025519 low_pass_filter = 10.000
+Epoch 0: | | 969/? [10:07<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=21.90, train/active_min_children_step=1.000, train step 970; scene = ['da7b5b8c48f2b345', '800692cf789b69bb', 'eb8e1a343a57f246', 'ef63ce1150b93a2f', '6f8cd3c25e7ce532', '430828a73b0473c1', 'fae232a4edb86602', 'ab533c63e6b7ef78', '6f2daf5cb8151b38', 'cd2bc85e8f87f404', '363163aa8eb9a2dd', 'f6d48213ef0665a5', 'cd7a270da6f6da4a', '2018a20c3c41f278', '0274ae92b3b40648', '56f96532473be1b0']; context = [[19, 45], [32, 58], [84, 110], [48, 74], [1, 26], [1, 27], [109, 134], [22, 48], [133, 158], [43, 69], [71, 97], [52, 79], [43, 69], [86, 112], [3, 29], [74, 99]]; loss = 0.024576 low_pass_filter = 10.000
+Epoch 0: | | 979/? [10:14<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.000, train step 980; scene = ['0f8c770f3a37cacf', '4e9bc83dc19ab35b', '02b4de9af6e29e8a', 'ff7c5e76dbb32bf8', 'fc0eb949f7e3495d', '809ac9d0df881cdc', '9b1748955fdd2d93', 'c62d89b4898ca134', '8fe0153671265cd8', 'cac682fd737ac05a', 'd5c8690ebede654c', '68f5a9c218ae58de', '6f734cb7648a8dc0', '3a06c662b556f35d', '2ab59b3cd18cf2a6', '7575c3ff61344cf7']; context = [[55, 80], [4, 31], [75, 100], [9, 36], [8, 35], [21, 46], [1, 28], [24, 50], [68, 94], [111, 138], [119, 144], [183, 210], [112, 137], [57, 83], [2, 29], [45, 72]]; loss = 0.026835 low_pass_filter = 10.000
+Epoch 0: | | 989/? [10:20<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000, train step 990; scene = ['065d41d6e7cd8ad8', 'fbc4bbe6225528ec', '3baeb8a657696aec', '0224ae3b7123367e', '61327b567aa8d6f6', '0856eb1e161c6cb8', 'e6406106735f8b34', '12108a3fd93471fb', '6080fc9345448eec', '39ee4bf580cf2bbe', '5a1ccf5da976f592', 'c2de98e8401d1883', '877e982c2aeacb3a', '9f7fa8a32d5eaa0f', 'd3b5f1786c3ae039', '28478600e3b81375']; context = [[2, 28], [147, 173], [40, 65], [231, 256], [34, 60], [27, 54], [103, 129], [5, 32], [43, 69], [119, 144], [23, 50], [3, 28], [10, 36], [176, 203], [0, 25], [5, 32]]; loss = 0.027043 low_pass_filter = 10.000
+Epoch 0: | | 999/? [10:26<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.30, train/active_min_children_step=1.000, train step 1000; scene = ['d31dab63cc54c59e', '767c62f619b15386', '95c9d9e0f42b1a15', '7b698e19de628b10', 'dca0f0eacbccd9c8', '6a98a5412a5aee02', '58862a8fe2c91894', '6bb1fe38f50ee2f6', '5e8552f9cdf1e078', '344337509a48a21c', '3220f882c1f72cca', '272f7a997c94d84f', '6af18067925fa678', 'b12b1204a0c7c197', '5db240a3c54df22b', '28ada2a08238d1c8']; context = [[2, 28], [1, 28], [3, 28], [1, 28], [15, 42], [40, 65], [51, 78], [45, 72], [67, 92], [15, 40], [77, 102], [149, 176], [11, 38], [149, 176], [24, 51], [3, 30]]; loss = 0.026038 low_pass_filter = 10.000
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/optim/lr_scheduler.py:209: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+Epoch 0: | | 1000/? [10:27<00:00,  1.59it/s, v_num=m89j, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.000,validation step 1000; scene = ['49b8f80c849dc341']; context = [[56, 83]]
+Epoch 0: | | 1009/? [10:45<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=21.70, train/active_min_children_step=1.000,train step 1010; scene = ['917a89fdc7272009', '5eee3bba5d8a0af0', '09857c20a9b14df3', '184fb534f9aca4da', '51e6b1d7cd013f21', 'aa85d24bbd87a8a6', '10c6540f2e3af25b', '9159925b118937a4', '13c85315b9e987d9', '3075c400813b4fd5', 'e0fc35891bf29a7a', '8b5c24358ec92b0c', '8376f898eabbd0e1', '8da41667e8f33d92', '0ddb1fa8f7729c9f', '9d714edfee008fc2']; context = [[52, 78], [90, 116], [100, 125], [68, 94], [30, 56], [190, 215], [1, 28], [114, 141], [78, 105], [56, 81], [68, 95], [145, 171], [75, 102], [79, 105], [4, 31], [1, 27]]; loss = 0.028365 low_pass_filter = 3.333
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/visualization/layout.py:105: UserWarning: Using a non-tuple sequence for multidimensional indexing is deprecated and will be changed in pytorch 2.9; use x[tuple(seq)] instead of x[seq]. In pytorch 2.9 this will be interpreted as tensor index, x[torch.tensor(seq)], which will result either in an error or a different result (Triggered internally at /pytorch/torch/csrc/autograd/python_variable_indexing.cpp:316.)
+  result[selector] = overlay
+Epoch 0: | | 1019/? [10:52<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=22.30, train/active_min_children_step=1.000,train step 1020; scene = ['06c7cb360e434de5', '68d0e78200de8dbf', '7567fe94d4fba9d7', 'a0493b972780d9ae', 'dbbd2d62968c2aab', '7eb1c8969766243e', 'abd353eabd0dea01', 'b6cacdcdab5755b8', '7e731568d0288a55', '085ff8ed78f58252', 'b6f08954c7c64f59', '700d4f6b814c5dd7', '770ffcd0c79519aa', 'aa3520c25c879a9f', '9530c8a093a39160', '3195acecb19b0955']; context = [[39, 64], [129, 154], [28, 53], [65, 90], [40, 67], [56, 83], [38, 65], [3, 28], [214, 239], [32, 59], [4, 30], [18, 43], [101, 127], [29, 56], [4, 31], [182, 208]]; loss = 0.027268 low_pass_filter = 3.333
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_parent_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val/hierarchical_projection_center_diff_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/psnr', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/lpips', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/ssim', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_parent_inside_ratio_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/lightning/pytorch/trainer/connectors/logger_connector/result.py:434: It is recommended to use `self.log('val_tracked/hierarchical_projection_center_diff_debug', ..., sync_dist=True)` when logging on epoch level in distributed setting to accumulate the metric across devices.
+Epoch 0: | | 1029/? [10:58<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=22.30, train/active_min_children_step=1.000,train step 1030; scene = ['1ad7adae6a042ce1', 'df0ac86df48f6d06', 'cc6c8d74122beb91', 'cbb91c77a7526d61', '4edcc58025a77735', 'b1dd1726f1f46b42', '15f14a9a8d3f7769', 'dacf77dd43f1d0f1', 'e53a82bfe84a2251', '1018776739e1250b', '0c52454885189188', '7e25e7669443bd73', 'cabe1e553676170f', '29fabf56364e9d1b', 'e58feef82356fb26', 'e2202f60a31710bc']; context = [[40, 65], [207, 232], [15, 41], [0, 26], [18, 43], [23, 50], [11, 36], [53, 78], [0, 25], [34, 59], [91, 118], [79, 106], [73, 100], [49, 74], [157, 184], [90, 117]]; loss = 0.024737 low_pass_filter = 3.333
+Epoch 0: | | 1039/? [11:04<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.000,train step 1040; scene = ['e28ac2de4b57c0fd', '71499e389bdaea92', 'd7c0ebc89793e158', 'b428645647d53e65', '1c1f2b158b8527cc', '5a23762e2edbeba0', '581d57e13e40094d', 'cb64aaa680fba010', '3f7c40c559810888', '2edb7ac3009c5f9e', 'f7887b5d47d53d20', 'a79888bb552c7862', 'cb7487a5189f6b2b', 'dd71da9a017228df', 'fdbfe35f5940d3ad', '4a7a158bc511d737']; context = [[31, 58], [11, 37], [82, 109], [42, 68], [45, 71], [3, 29], [32, 57], [101, 126], [63, 89], [15, 41], [84, 111], [44, 71], [10, 37], [104, 129], [101, 126], [119, 144]]; loss = 0.023146 low_pass_filter = 3.333
+Epoch 0: | | 1049/? [11:10<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.000,train step 1050; scene = ['200afae0928a1372', '88402eba1dca60a2', '7fbbee2db2e6cd4d', 'd23843ee6485a4ca', 'a2c884e396d7f501', 'ebaeb44a88de9332', '6af98c375abdb63d', '38c220ff58e572ac', '527265924b9b6375', '2962175a510cf868', '94418a5db600cc33', 'ff476ba779fd6021', '518200a52559d895', 'ca342b60ac94b65e', '0d4ebded1cdfa14c', '7f9be765fc88ada1']; context = [[38, 64], [72, 97], [59, 85], [185, 211], [10, 35], [16, 42], [61, 86], [11, 38], [28, 55], [4, 29], [16, 41], [29, 55], [7, 32], [199, 224], [59, 86], [39, 66]]; loss = 0.020187 low_pass_filter = 3.333
+Epoch 0: | | 1059/? [11:17<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.000,train step 1060; scene = ['eb5a6e0843067cdc', '3ebbf175cda595a2', '1cf5589d5ecddb95', '74eb411688ba5e15', 'b071ad8689db9c26', '5c50277359a0843c', '26ea8cc2791328c2', 'ac64989dd2b2a22a', '6955cf41eb23fe3b', '39f7c76ef42ac1d4', '0f04f8ee8b2396c7', 'aaece70a39dd3257', '0d8f65989586d136', '7fde9a464e6b2a7b', '55f0fab213db4673', '104d225e8ec52733']; context = [[23, 49], [72, 98], [109, 134], [53, 78], [223, 250], [63, 89], [209, 235], [90, 116], [1, 26], [96, 123], [156, 182], [138, 163], [249, 276], [35, 61], [50, 77], [18, 44]]; loss = 0.020040 low_pass_filter = 3.333
+Epoch 0: | | 1069/? [11:23<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.000,train step 1070; scene = ['e6d924f92f44c985', 'c96388f9522a65b9', '3193e8bf21491023', 'b86dc6a2be5101ab', '42df8c69e0daeec6', '95908390cfcab857', 'ebf1a7e113d1cfd2', 'c8a89452aa4cf54f', 'c5f6f1a662e28071', '3678468a9d6d42cc', 'b950cd4348d01e2a', '623d5619e4702864', '804998e7ec39d253', '0d75be966f561519', '0d32af0aa9eaae9a', '68528e468bf52aca']; context = [[71, 98], [191, 218], [72, 97], [16, 42], [43, 68], [32, 59], [148, 174], [44, 69], [160, 187], [124, 150], [46, 71], [204, 231], [97, 124], [5, 31], [5, 32], [18, 44]]; loss = 0.028276 low_pass_filter = 3.333
+Epoch 0: | | 1079/? [11:29<00:00,  1.56it/s, v_num=m89j, train/psnr_probabilistic_step=20.90, train/active_min_children_step=1.000,train step 1080; scene = ['5fe123b3d2013cfc', '05c25202589a6f81', 'c6cdc4c9282bd491', '8b3e50b64cdb9a4a', '34a9201614a19005', 'b765858262583af6', '7f20b3df52cf4e98', '43c619a8b35c357f', '32ed60ed023b59cf', '0560b7d07f6e6899', '262a536e25e2ae43', '572d67c3862dd6e1', 'd59ab97b03d1164a', '46480458ef51b393', '03d3092e230ed7f0', '79f4ef188c1f0a3d']; context = [[134, 161], [39, 65], [83, 108], [43, 69], [85, 113], [80, 106], [28, 55], [51, 77], [15, 43], [0, 25], [222, 250], [212, 237], [7, 35], [27, 52], [33, 59], [42, 67]]; loss = 0.025000 low_pass_filter = 3.333
+Epoch 0: | | 1089/? [11:35<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.000,train step 1090; scene = ['b333ae137d9b364d', '111edff73abfa215', '03150a5a24b88cf4', 'fa3c714f9feb0ca1', 'b4a5824300555fe9', '427dbba2f4ddb5ec', '423fb23a46b7ad6e', '9589bf6c34437171', 'ed90fc76c5f364e8', 'e81375f276552936', 'ec9ce5f9d9512215', 'fbf467b7610b569c', '49e4f5365be165ee', '34580d00589eee64', '3205bb1ec6c5e8a4', '24a2c0442c06f4ec']; context = [[126, 151], [13, 39], [183, 208], [64, 92], [41, 66], [19, 45], [18, 43], [34, 61], [14, 40], [36, 62], [55, 82], [21, 49], [12, 39], [107, 134], [0, 26], [48, 74]]; loss = 0.024698 low_pass_filter = 3.333
+Epoch 0: | | 1099/? [11:41<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.000,train step 1100; scene = ['d8c0b4ca0defd965', '73a06272f1314473', 'd5ae945909789ef7', 'da86c1e65642aa38', '37c5b704883ea1b7', '6d49fec0fd3dbea0', 'bcede31352c7bd4d', 'bb5bb772c9c01b1a', '309060e859c57cc7', 'bf5caf81dc58798c', '10e11b3eb5bba7c9', 'a23531e747abeb94', 'd40a51a67fb79544', '0880f556a19d07f5', '577c560e66207737', '9b6a57a6ff02dd12']; context = [[187, 213], [13, 40], [76, 104], [29, 55], [18, 44], [13, 40], [40, 65], [78, 105], [23, 50], [51, 76], [17, 42], [63, 89], [3, 29], [88, 114], [6, 31], [20, 45]]; loss = 0.026859 low_pass_filter = 3.333
+Epoch 0: | | 1109/? [11:48<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=21.60, train/active_min_children_step=1.000,train step 1110; scene = ['6f4c2dbdf3261ce5', '3e2671d001ec3490', 'eed911184d146626', '50632d01cdc990e2', '5080347450bbcb08', '987ba4e94414a901', '2d96aa51d8a0f0ba', 'e59de5847cdb3d38', 'fc53427e7c49a7c5', 'ce3f4b5b14d97861', 'abf076da45e3fea5', '89afd4c5470e2516', 'a7a54b27565d7c3e', '62999865ac9eb455', 'b2a4b10693604581', '4a9927480f8c43b7']; context = [[49, 76], [33, 61], [9, 34], [0, 26], [86, 112], [1, 29], [150, 175], [29, 56], [6, 31], [5, 33], [35, 63], [159, 187], [59, 84], [8, 36], [32, 57], [83, 109]]; loss = 0.023185 low_pass_filter = 3.333
+Epoch 0: | | 1119/? [11:54<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 1120; scene = ['12bc55088cf2ce58', 'f0775b5ffdfb27b5', '24d4b58914a78163', 'd9dae14cb7376287', '3b4e220f6d18d61b', '86dbd3d7c71e63d9', 'aeee3481d2a8806e', '8b598829b949bb07', 'ffaf31567af2b895', 'e41915761acdb093', '14b8447b6a98961f', '782bc1eb4be1cb89', 'bb5cc95dd4cf749c', '47d9f6977b05f18d', 'bd84e78a498e4af5', '43cd8bfd1bada381']; context = [[32, 58], [67, 95], [15, 40], [62, 87], [24, 52], [12, 38], [55, 81], [40, 66], [90, 116], [108, 135], [35, 61], [174, 200], [7, 34], [62, 90], [44, 71], [0, 26]]; loss = 0.021435 low_pass_filter = 3.333
+Epoch 0: | | 1129/? [12:00<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.000,train step 1130; scene = ['d4450052d60e5f31', 'c05818414f7e530b', '0fd0ead3c363584e', '10fe0d451220407a', 'e46419c7826b661c', '7d6557b3ee6eaa8c', '26e1218850abd298', '5f0f26d2f069837f', '73dc27448e4f065a', '757f85ef4b708166', '4c8ecba879bb3eed', '2443e886f743cc34', 'c6ea933d1fff0d59', '2e4d16122bd76f43', 'ca89e36b41581eb8', '01669ff74c56d315']; context = [[51, 77], [33, 61], [65, 93], [200, 225], [13, 39], [49, 74], [26, 51], [2, 30], [1, 27], [133, 159], [11, 38], [3, 30], [26, 51], [52, 80], [35, 60], [0, 26]]; loss = 0.022171 low_pass_filter = 3.333
+Epoch 0: | | 1139/? [12:06<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 1140; scene = ['c70fbfe2ea94f606', '2a5ba4ced1bda07c', 'c49dfdcdb8ec5967', 'a02a9658551d219d', 'ee308e09e3e799e5', '25a066a44d4fbfe2', '46f0491eb7365360', '665049a1c88afbac', '540bc85f7c1b643e', 'aa5e9a3df7061a58', '6a140ea6d457efae', '11d0d75085bf9ce0', '86c89319605a764c', '1b91d2fcbd0b384b', '72271741f674be7c', '88a6790c97629d07']; context = [[34, 60], [22, 47], [76, 103], [40, 67], [67, 95], [11, 37], [23, 51], [28, 55], [9, 35], [43, 70], [36, 62], [98, 123], [3, 28], [57, 85], [54, 82], [4, 31]]; loss = 0.025182 low_pass_filter = 3.333
+Epoch 0: | | 1149/? [12:13<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.50, train/active_min_children_step=1.000,train step 1150; scene = ['2c473fa113c38037', '232761a3c36250db', '112202d9b9402f09', '6fb75705002e9a71', '96c546893e58e713', '68bd44a4d3385359', '76d49efbac8550f2', '6edfc46eec151202', '139fa8c7577496de', '4b435ca0a80ee76f', '9cf4511625b44389', '3b8abe0cda9917e4', 'edb67472914edb3e', '1c2e5f0ee4f0a04d', 'b628c72cc878780f', 'e294f1cd6bcdc9e5']; context = [[8, 36], [21, 49], [65, 93], [68, 93], [51, 77], [159, 187], [71, 98], [50, 75], [12, 39], [59, 86], [45, 72], [46, 71], [50, 78], [107, 132], [191, 217], [59, 87]]; loss = 0.024181 low_pass_filter = 3.333
+Epoch 0: | | 1159/? [12:19<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=21.80, train/active_min_children_step=1.000,train step 1160; scene = ['8a5f209051718c6a', 'fe3c04bb10b12d55', 'cd7355ffcbc5a2f5', '1f4d538755177e00', 'f591700701a47d5f', '3624134e157585a8', '2e6b110a34be80f6', 'db21d3ab55c463d4', '263171a60cd3c274', '7e17d1e974838e4f', 'eb0b3196ffb44444', '9af60e3183731e2b', '7aa0b1804b14144b', 'd0163ac6077217b4', 'e8bacc515eee9906', '8e6dd682ca06c962']; context = [[106, 133], [88, 115], [22, 49], [29, 55], [92, 119], [39, 66], [29, 56], [32, 59], [2, 30], [137, 165], [41, 67], [105, 132], [6, 32], [95, 122], [25, 53], [110, 138]]; loss = 0.026154 low_pass_filter = 3.333
+Epoch 0: | | 1169/? [12:25<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.70, train/active_min_children_step=1.000,train step 1170; scene = ['9bddf9777577b540', '95683816b2782fc2', 'ef767501ebc1cb8a', '5065b9cb94d891bb', '7973781f09bbc41d', '0c2dec20ab27ba71', '9d34c9589e0434c9', '960daf58070c833a', '3ea9aa602dfec930', '65be8dee646970d9', '92f0ac52daa463b6', 'd6908f33460b023b', 'da56c7ef9df14143', '7b23e4a0c4ea3e95', 'a02a57c926d1ae45', 'd2b34cb3b5d00afa']; context = [[87, 114], [33, 60], [79, 107], [98, 124], [0, 28], [247, 273], [86, 114], [12, 39], [49, 76], [19, 46], [40, 68], [19, 45], [15, 41], [21, 48], [187, 214], [30, 56]]; loss = 0.023221 low_pass_filter = 3.333
+Epoch 0: | | 1179/? [12:31<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 1180; scene = ['7c5aecc1f97fde06', '22b12e74502378c7', '47c705d2d6d65b23', '3812f04df4ff98d4', '62c6c5f93e65ccd8', '9beaf5d0ae3a7903', '20b3937a5b0c8384', '41454feb44f3cc7f', '1f5f168725874f3e', 'b9e20c6ca2630cad', '7836200c75b0e42d', 'f1847f1633c71974', '2ae079dcad63c1c1', 'e93bb5f352f12779', '02ce170824e128dd', 'b7d0632fc6b2d46b']; context = [[0, 26], [7, 34], [36, 64], [91, 117], [112, 140], [152, 179], [1, 28], [81, 109], [125, 153], [29, 56], [63, 89], [51, 78], [57, 84], [118, 145], [53, 80], [106, 134]]; loss = 0.022504 low_pass_filter = 3.333
+Epoch 0: | | 1189/? [12:37<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.70, train/active_min_children_step=1.000,train step 1190; scene = ['87ddb273a2668496', '4188a5e607ad1fb9', 'd9f4d087b09b5361', 'fd736740ea4abcc7', 'bf8d7d53329bfcde', '05f3364c68280447', '3d187ef47213b513', '7bdae1fbfeca5814', 'd72f1c9631d56256', '6d849ca53f62a5b7', '203149d77d4e35c2', '9cc6a832ffde1cbb', '3cca5bd6f63c23a5', '4625967cb4399fe0', 'fc5fe3d19d1bcc3e', '887c6aa71d5e23f1']; context = [[100, 127], [35, 62], [6, 34], [17, 44], [64, 90], [58, 85], [120, 147], [5, 33], [1, 28], [80, 107], [51, 77], [54, 80], [40, 68], [59, 85], [22, 50], [26, 54]]; loss = 0.021626 low_pass_filter = 3.333
+Epoch 0: | | 1199/? [12:44<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=21.90, train/active_min_children_step=1.000,train step 1200; scene = ['e58f27f45d7cce3a', 'd02f8cad1ec64f2c', 'a89d49837b7303c5', 'fbf766898680aef1', '0baa25d1cb97a27f', 'dd0486313ddc7f1c', '95aae109e91f511d', '8cb3deb4666c76f5', '8e50829d45f121f2', '1f2536c42dccb36b', '47b85baf9e4e8a1c', '02a4144482a9daef', '06f55714ca5e219a', '50873cd4150bd263', 'ff3866d1f150f06c', 'dec69f4f1cb29569']; context = [[58, 86], [94, 121], [20, 47], [0, 28], [48, 75], [7, 33], [25, 52], [71, 98], [140, 167], [65, 92], [25, 52], [86, 113], [70, 97], [34, 61], [84, 112], [31, 57]]; loss = 0.025806 low_pass_filter = 3.333
+Epoch 0: | | 1209/? [12:50<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.000,train step 1210; scene = ['fcb4dfba1a945a4b', 'a30d9527ed0e0748', '73d873a180e058a5', 'd4897a4c90c37caf', 'ffc9008285548ff5', '813e1189dcfd7c30', 'b3f9bb0c99776a79', 'ca024568a48933be', 'daf0904eab3b35cf', '4a92e8a638e8c57c', 'af0517fa98077a1e', '665d429d01b05d14', '830cc256a754ed8e', '8145a4774a6a2fd3', '309a175f1e06b80a', 'bbc62daeaf77bf4f']; context = [[30, 57], [13, 41], [132, 158], [45, 71], [48, 74], [16, 44], [4, 31], [64, 91], [119, 146], [0, 28], [7, 35], [50, 77], [53, 79], [33, 59], [247, 274], [24, 51]]; loss = 0.023110 low_pass_filter = 3.333
+Epoch 0: | | 1219/? [12:56<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.80, train/active_min_children_step=1.000,train step 1220; scene = ['1da5bd3938d1106e', '1e39b2eb951d0d1b', 'e5447ec8725011a0', 'c2f2994c1329cf74', 'b8252179ea1e7036', '228568723e619e85', 'd3ecc9f89d8163a3', 'a5bbbc8bf57c2d39', '99c8545c72314b71', '625eef7459761a4d', '5f19c87933afd12e', 'e3b1a68ce2293863', '4c8f13f305e4abdf', '0081dc6b188fefe7', 'd379feee7af01593', 'a810c60104f378ad']; context = [[106, 134], [39, 66], [31, 58], [9, 36], [157, 184], [15, 41], [92, 118], [124, 152], [24, 51], [64, 90], [34, 61], [42, 69], [4, 32], [39, 65], [70, 96], [46, 73]]; loss = 0.020345 low_pass_filter = 3.333
+Epoch 0: | | 1229/? [13:02<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.000,train step 1230; scene = ['24b8103eb6fea42f', '947f348fccdcce56', '76cad7284ada1227', 'b8bcd6af0ef63ab1', '03ea388058ebd7c7', '2570a14e40c92d75', 'db9459595f461e15', '56cf9bf99311c357', 'e485bf80f9a3f7e1', '07219a30092595a2', '0db71132ccfdfa95', 'f1a61757f68774d2', '470f6a9cdba0a1d5', 'b9ffdd6786ddc018', '95cd28864a17ccca', 'fb73c1c5f2889329']; context = [[57, 83], [53, 81], [4, 32], [132, 159], [0, 26], [5, 32], [70, 97], [55, 83], [66, 92], [7, 33], [6, 34], [6, 34], [141, 168], [101, 129], [146, 173], [10, 36]]; loss = 0.027496 low_pass_filter = 3.333
+Epoch 0: | | 1239/? [13:09<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.30, train/active_min_children_step=1.000,train step 1240; scene = ['23358c2cc3e7e8fa', 'da1f9f2859b59142', '5c1d013893a69fb1', '9662f49b6a764dfb', 'a92ec569ae5c2a73', '5542c47d00e5ad3f', 'a1fa4bf737381a53', 'e620345f5468d2e3', 'f30398f000a252c0', '32f7b46d278e4954', 'd8fd980f911631b9', '50647477856e6833', 'c223600fd4ba02d7', '345358687532f52c', 'c6b6d3ccd25bb2cb', '2719c26d03b2054b']; context = [[37, 65], [27, 54], [166, 193], [20, 46], [25, 52], [37, 63], [99, 126], [231, 257], [39, 67], [18, 45], [25, 53], [61, 87], [7, 34], [116, 143], [72, 98], [112, 140]]; loss = 0.024110 low_pass_filter = 3.333
+Epoch 0: | | 1249/? [13:15<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.90, train/active_min_children_step=1.000,train step 1250; scene = ['8f93b1f88915ec0e', 'aa0480c4085e88aa', '83a20ad0a61f400e', '4ae8d76f03c4bba2', '48b1e8b1130a75c8', '406e9c6c0f7a3a54', '0b4c2c46d09e60de', 'c00aa176dbded93c', 'ee0170b8aa621c0f', 'bf0c3ff5d1a3df4e', '859722e52191814e', 'b77d133bef4fa907', 'd69d8870df582b0a', '1d8cdf272844d0e7', '8fd375312458cd70', '874990ab5347c13b']; context = [[15, 42], [100, 128], [29, 56], [67, 94], [8, 36], [162, 190], [44, 70], [39, 65], [51, 79], [79, 105], [5, 31], [201, 227], [5, 33], [75, 101], [140, 167], [230, 257]]; loss = 0.023362 low_pass_filter = 3.333
+Epoch 0: | | 1259/? [13:21<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.00, train/active_min_children_step=1.000,train step 1260; scene = ['7332947ada1572b7', 'b1c71220312bd8d7', '3c0a13b7637af7fa', '06f73e2d9a53a6eb', '9eb1cb80a1e94817', '3685bb1168fb8031', '68a85b63caa319b4', '5fec984bfa36becf', '20c639dc41a7bf7f', 'e465c16e4ba9fcb8', '8b17b526790f5460', '01b5eee3faf8485a', 'af10100731bf2226', 'ee5738683b5992a1', 'e59b7aa524c9f1dc', '9ba2d62e72db7145']; context = [[95, 123], [25, 53], [16, 43], [72, 100], [23, 50], [23, 50], [43, 71], [2, 30], [99, 125], [86, 113], [103, 129], [102, 130], [124, 151], [16, 43], [57, 83], [51, 79]]; loss = 0.025560 low_pass_filter = 3.333
+Epoch 0: | | 1269/? [13:28<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.000,train step 1270; scene = ['ef6401c117a2701a', 'e994872e832abcd6', '803178124802c1aa', 'ba910ed9ffed394d', '6f4a43a4f3c0fb6c', 'f429e6d259c28372', 'c555b5ae8249ea79', '311e7ad62f542ce2', '85f8f13158886489', '38f2d8425c2c413b', '458766c5d05f8d15', '903117ac67b912a2', 'fe06a555231819c0', 'ce53ab61724efa79', '9bfb9a67d9cafdfc', '456aecc893a4653f']; context = [[16, 42], [42, 70], [97, 123], [3, 31], [25, 53], [22, 50], [18, 44], [26, 54], [139, 167], [152, 178], [136, 162], [2, 29], [136, 163], [30, 57], [61, 89], [206, 232]]; loss = 0.023404 low_pass_filter = 3.333
+Epoch 0: | | 1279/? [13:34<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 1280; scene = ['cc6379f86543e2c7', 'bba92b2f199e4e80', '7256306ee88ff0a3', '71fb2a3a5f745849', '41640d448887e237', '1562917348b9dea3', 'ed8132a90fd5cedd', 'd73b7d57dd76d4ae', '162d34cd96a0899d', '76afa68a52241dc4', 'a6cc1f957f873178', '414454ff64681a93', '1403da8c328f29d4', 'b18ac63baf4baee0', '6e2c73ab63bf5e87', 'c6c0e46d5daafd20']; context = [[219, 246], [233, 261], [19, 47], [31, 59], [3, 30], [33, 60], [26, 53], [17, 43], [221, 249], [19, 47], [84, 111], [55, 82], [148, 176], [29, 55], [143, 170], [46, 72]]; loss = 0.019125 low_pass_filter = 3.333
+Epoch 0: | | 1289/? [13:40<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.80, train/active_min_children_step=1.000,train step 1290; scene = ['cd6c21656a85e9b9', 'd8e1f8ca9a8f6d75', '538591ce295ffc23', 'de41f796919fa481', 'e324acf1610847ca', 'e0585142f1602430', '0956329fc4d362a7', '9ab9a834066a3287', '8af741a43dbf8aed', '2889424e1627e36e', '9f55a331f0e02fcd', '97bc9f9fd9f493e5', 'c69838b39a586dca', 'f98c4f8284140152', '9a45995c95b9df54', '98fb604e2b221457']; context = [[17, 44], [65, 91], [8, 35], [1, 27], [13, 39], [5, 31], [14, 40], [12, 38], [25, 51], [1, 29], [29, 55], [18, 45], [134, 160], [185, 213], [124, 150], [0, 28]]; loss = 0.022474 low_pass_filter = 3.333
+Epoch 0: | | 1299/? [13:46<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.60, train/active_min_children_step=1.000,train step 1300; scene = ['bd781c735a39b252', 'e6910569bc347ba2', '51e7e2abc42fff2f', 'e567c08401dda8a7', 'dd249f6269133fd4', 'f6eb748a01065695', '154ca1b40882c2ba', 'e9e020c514404b0c', '313139806de65869', '25f120b63c777a3d', '73d0cc9f88dd47a4', '86cfe990f194bb9f', 'cb17460c2a53d3d3', 'acc04053479de7b6', 'eda827d23766de0e', 'a640a55439a43108']; context = [[6, 34], [28, 55], [21, 47], [10, 38], [90, 116], [31, 58], [20, 46], [13, 41], [22, 49], [10, 38], [64, 92], [22, 48], [90, 116], [14, 40], [10, 38], [80, 108]]; loss = 0.020645 low_pass_filter = 3.333
+Epoch 0: | | 1309/? [13:52<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.40, train/active_min_children_step=1.000,train step 1310; scene = ['81f3520774d1a1c6', '620d222665049f34', '0ec197e81b8d0f77', '780ad45fced462d7', '6aa927450138c021', '58f4b2ce84d33565', 'bbb36359cd553f3a', 'd2757e2b5edb04c5', 'be6471058d2d22ab', '93fb96bc2d3b8bff', 'e84178ef466d3974', 'a9b070f212e5f277', 'a98ec507d448dea2', 'fd76f881e1223b09', '57dbeb44c9b27b81', '0b0fe0d86da5a167']; context = [[13, 39], [73, 100], [65, 93], [12, 40], [79, 106], [102, 130], [32, 58], [51, 79], [13, 39], [33, 60], [3, 30], [204, 232], [25, 52], [4, 31], [161, 189], [42, 70]]; loss = 0.022806 low_pass_filter = 3.333
+Epoch 0: | | 1319/? [13:58<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.90, train/active_min_children_step=1.000,train step 1320; scene = ['443f21df464db8cf', 'c33b9080e273000c', 'a230308a0397ec12', '3909231098c2f263', '0e4dc00fb343099c', '3deda316f214ee89', 'c202eebff41099ba', 'a5ab3c04cadb399b', '50bb0587e8b1924a', '5e00fe8ddb44c346', '348f41557b28f27c', 'e246fc179798ef43', '8acbada3de9d0256', '8c511adfe1edf981', '6918eddc5ff5ced2', 'feeef6e1343ba933']; context = [[125, 153], [77, 104], [20, 47], [42, 69], [25, 52], [171, 199], [17, 43], [199, 227], [67, 94], [15, 42], [5, 31], [5, 31], [7, 33], [11, 37], [1, 27], [19, 45]]; loss = 0.017982 low_pass_filter = 3.333
+Epoch 0: | | 1329/? [14:05<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.10, train/active_min_children_step=1.000,train step 1330; scene = ['686ad3f8a986c1d1', '42f74d7e8843d492', 'fa49b8a4ce355d53', '1e282735e3e48328', '562bb0d240bb37ff', '1da206992563b2b9', '3fb2a360fe3a0dd2', 'eec5b25d9b090878', 'be15a3c0fd266f0f', 'b71fbffa97db928f', '399b6534f47214c2', '2f321a2fbb58cb79', '2813e378279c4fad', '24ac625c8f95dd37', 'c5f9ca57f5873e3b', 'c43469ca9350d88b']; context = [[49, 76], [51, 78], [19, 45], [62, 88], [0, 26], [104, 132], [132, 159], [42, 68], [102, 130], [46, 73], [65, 93], [20, 46], [41, 68], [18, 44], [225, 252], [8, 36]]; loss = 0.022072 low_pass_filter = 3.333
+Epoch 0: | | 1339/? [14:11<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=24.10, train/active_min_children_step=1.000,train step 1340; scene = ['b988c3ed7749b74e', '8868360e57d02bf2', '3691cd26c7100116', '1d60c040046aab31', '2717a1836dbb53d9', '1cbee92f071ca0fb', 'f23e4d3afc46ac29', '2cdc2ed1b8813ab1', '344b8a6319bec5ab', '6c3a8d059e82f912', '57f5506e3257f4b2', '3765ecbfb3a165bd', 'd678738b34c57d8a', '8b8a871ef6c8045b', '151e0e08ed38e7ea', '90603a5bce11c2ed']; context = [[7, 35], [124, 150], [74, 100], [92, 119], [39, 66], [143, 169], [180, 207], [142, 170], [190, 218], [32, 59], [55, 82], [74, 100], [27, 54], [71, 99], [176, 203], [114, 140]]; loss = 0.020884 low_pass_filter = 3.333
+Epoch 0: | | 1349/? [14:17<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.40, train/active_min_children_step=1.000,train step 1350; scene = ['c7462f6b97947601', 'e4832b64e5b73784', '0139d9fa2834c496', 'e0e22ca4dce43fea', '26894d5903d41150', '3d4ae910ff347e3e', '5b9d84d47b1ea410', '75a8c9852f5cae9b', '09a6aff7b9769dfc', 'eca311ee088fb239', '96e60aa2260cee08', 'bf6673b014c4b426', 'c842ce5440a03704', '38834e0675604b7b', 'e6828e4eb26c2f83', '6993473d6d315d1d']; context = [[7, 35], [17, 43], [246, 273], [46, 74], [50, 76], [44, 71], [74, 100], [86, 113], [5, 32], [6, 34], [112, 140], [47, 74], [136, 162], [56, 82], [60, 86], [6, 32]]; loss = 0.022426 low_pass_filter = 3.333
+Epoch 0: | | 1359/? [14:24<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.50, train/active_min_children_step=1.000,train step 1360; scene = ['5bbda319111f9dea', '519ee1fb2d68f039', 'cbc71a203e10b3c6', '523d8fec764af182', '37b593ab757771b6', '4e01092da9625335', '83d2aaffdfe0fffd', 'c331ebdb898c377a', 'ddc11c891f471dd0', 'd5a86126a4e39e7a', 'e20f3440223cbde1', '12e85fb6e140ee85', '07790cb4884e1502', '7d697ca690248324', '837a853e726c6ad2', '43e59b21a3805c73']; context = [[7, 33], [74, 100], [79, 106], [47, 74], [34, 60], [86, 114], [39, 65], [44, 70], [235, 261], [195, 223], [89, 116], [66, 93], [40, 68], [51, 79], [8, 34], [177, 203]]; loss = 0.021556 low_pass_filter = 3.333
+Epoch 0: | | 1369/? [14:30<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=23.20, train/active_min_children_step=1.000,train step 1370; scene = ['d095902f17028960', '93fc382a94286786', 'bd36807dafbe8c58', 'c7415f2942f33110', '548ad1b923e633d8', 'ff731e78060eb888', '26b8065adc153c13', 'd580f973b11b17fa', '4e437d66420067c2', '4e4985c5a76ac0e5', 'c3165a339b9a09e5', 'd4958f58a569c0cb', '2a4fe9d5f507d831', '5ac80497fad02a9a', '259a3164730654e9', '92a1f3ab5dbe634e']; context = [[2, 30], [2, 28], [54, 81], [7, 33], [93, 121], [11, 37], [70, 97], [153, 180], [26, 54], [41, 69], [89, 117], [85, 112], [60, 87], [39, 67], [42, 70], [26, 53]]; loss = 0.024089 low_pass_filter = 3.333
+Epoch 0: | | 1370/? [14:30<00:00,  1.57it/s, v_num=m89j, train/psnr_probabilistic_step=22.20, train/active_min_children_step=1.000,
diff --git a/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/run-20260512_184749-4isrm89j/files/requirements.txt b/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/run-20260512_184749-4isrm89j/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/run-20260512_184749-4isrm89j/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
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new file mode 100644
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+  "args":  [
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+    "wandb.mode=online",
+    "wandb.name=0512_B16x4_errorWU40K",
+    "data_loader.train.batch_size=16",
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+    "model.encoder.gaussian_predictor.error_prediction_mode=direct_sweep",
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+    "model.encoder.gaussian_predictor.freeze_error_predictor_after_warmup=true"
+  ],
+  "program":  "-m src.main",
+  "git":  {
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+}
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diff --git a/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/run-20260512_184749-4isrm89j/logs/debug.log b/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/run-20260512_184749-4isrm89j/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..be2afc5d8cbfbdb8382f18887d1fe1065f76073f
--- /dev/null
+++ b/exp_0512_B16x4_errorWU40K/2026-05-12_18-46-14/wandb/run-20260512_184749-4isrm89j/logs/debug.log
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+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.00015
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 0
+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: beta
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
diff --git a/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/output.log b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..09f0c32c22158ad34875775378185cb815335712
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/output.log
@@ -0,0 +1,21 @@
+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill, url=https://wandb.ai/know/FlexSplat/runs/3xjszshn
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1060, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 890, in main
+    train_loader = data_module.train_dataloader()
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/dataset/data_module.py", line 91, in train_dataloader
+    datasets = get_dataset(self.dataset_cfgs, "train", self.step_tracker)
+               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/dataset/__init__.py", line 45, in get_dataset
+    dataset = DATASETS[cfg.name](cfg, stage, view_sampler)
+              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/dataset/dataset_re10k.py", line 80, in __init__
+    [path for path in root.iterdir() if path.suffix == ".torch"]
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/dataset/dataset_re10k.py", line 80, in <listcomp>
+    [path for path in root.iterdir() if path.suffix == ".torch"]
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/pathlib.py", line 931, in iterdir
+    for name in os.listdir(self):
+                ^^^^^^^^^^^^^^^^
+FileNotFoundError: [Errno 2] No such file or directory: 'datasets/re10k/train'
diff --git a/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/requirements.txt b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..8ef4d6b8d72a802a2b7aa93a8dbaa97b8bbf7cb6
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/wandb-metadata.json
@@ -0,0 +1,108 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:11:56.890293Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill",
+    "data_loader.train.batch_size=16",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-11-56",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "629603639296"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "5mvtdspnl5f0vvbsaj6urny9d2s3t4x1"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/wandb-summary.json b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..b03c168d0a125c6a4fa6a2d67a20719be99049b7
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@@ -0,0 +1 @@
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diff --git a/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/logs/debug-core.log b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..d1c873a8e2ff1f6b401392c30bf8e81afdac9f74
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/logs/debug-core.log
@@ -0,0 +1,15 @@
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diff --git a/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/logs/debug-internal.log b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..d10e3a9e4df0c07abe97ef99ad8a558fe3dd393b
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/logs/debug-internal.log
@@ -0,0 +1,16 @@
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diff --git a/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/logs/debug.log b/vggt_224_distill/2026-05-10_23-11-56/wandb/run-20260510_231156-3xjszshn/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..5852f611bf381373cf9af6795531fef868a00335
--- /dev/null
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+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'predicted', 'gt_target_pose_align_mode': 'global_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'slot', 'mask_invalid_children': False}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 1, 'max_children': 8, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 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'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'backend': 'gsplat'}}, 'loss': {'mse': {'weight': 1.0}}, 'wandb': {'project': 'flexsplat', 'name': 'vggt_224_depth_distill', 'mode': 'online', 'tags': ['re10k', 'vggt', 'distill', '224']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 4, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.00015, 'warm_up_steps': 200, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 100, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': False, 'direct_camera_pose_enc': False, 'camera_loss': 0.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'beta', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.0, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'child', 'pixel_error_mode': 'abs'}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 1000, 'val_check_interval': 250, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, 'distill': {'teacher_weights': 'pretrained_weights/model.pt', 'output': 'outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt', 'teacher_image_size': 518, 'student_image_size': 224, 'max_steps': 500, 'save_every': 100, 'log_every': 10, 'log_media_every': 200, 'camera_weight': 1.0, 'parent_weight': 1.0, 'rot_weight': 1.0, 'trans_weight': 1.0, 'intrinsics_weight': 1.0, 'log_artifact': False}, '_wandb': {}}
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diff --git a/vggt_224_distill/2026-05-10_23-12-32/wandb/debug-internal.log b/vggt_224_distill/2026-05-10_23-12-32/wandb/debug-internal.log
new file mode 100644
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diff --git a/vggt_224_distill/2026-05-10_23-12-32/wandb/debug.log b/vggt_224_distill/2026-05-10_23-12-32/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..2935713446bef25e198f5c1701ed048124799f7a
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+2026-05-10 23:12:32,906 INFO    MainThread:1682750 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'predicted', 'gt_target_pose_align_mode': 'global_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'slot', 'mask_invalid_children': False}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 1, 'max_children': 8, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 8, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'vggt_inv_log', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': '', 'freeze_backbone': 'none'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'backend': 'gsplat'}}, 'loss': {'mse': {'weight': 1.0}}, 'wandb': {'project': 'flexsplat', 'name': 'vggt_224_depth_distill', 'mode': 'online', 'tags': ['re10k', 'vggt', 'distill', '224']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 4, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.00015, 'warm_up_steps': 200, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 100, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': False, 'direct_camera_pose_enc': False, 'camera_loss': 0.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'beta', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.0, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'child', 'pixel_error_mode': 'abs'}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 1000, 'val_check_interval': 250, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, 'distill': {'teacher_weights': 'pretrained_weights/model.pt', 'output': 'outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt', 'teacher_image_size': 518, 'student_image_size': 224, 'max_steps': 500, 'save_every': 100, 'log_every': 10, 'log_media_every': 200, 'camera_weight': 1.0, 'parent_weight': 1.0, 'rot_weight': 1.0, 'trans_weight': 1.0, 'intrinsics_weight': 1.0, 'log_artifact': False}, '_wandb': {}}
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diff --git a/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/config.yaml b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..b8ba7fc61cdf245362519f64761da42db9294a0c
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/config.yaml
@@ -0,0 +1,351 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            ujffuhees9fxxi68frpjq8g2vvca0khc:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill
+                    - data_loader.train.batch_size=16
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "629603696640"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
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+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
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+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-12-32
+                startedAt: "2026-05-10T14:12:32.905108Z"
+                writerId: ujffuhees9fxxi68frpjq8g2vvca0khc
+        m:
+            - "1": train/step
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+checkpointing:
+    value:
+        every_n_train_steps: 100
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 4
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
+    value:
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    mask_invalid_children: false
+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.00015
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 0
+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: beta
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
diff --git a/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/output.log b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..4a470fade1e4ea7fc0a0c77c57e5f25111fc0259
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/output.log
@@ -0,0 +1,20 @@
+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill, url=https://wandb.ai/know/FlexSplat/runs/gl04np86
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1060, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 897, in main
+    teacher = load_teacher(runtime_cfg.teacher_weights, device)
+              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 213, in load_teacher
+    state_dict = torch.load(weight_path, map_location="cpu")
+                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/serialization.py", line 1484, in load
+    with _open_file_like(f, "rb") as opened_file:
+         ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/serialization.py", line 759, in _open_file_like
+    return _open_file(name_or_buffer, mode)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/serialization.py", line 740, in __init__
+    super().__init__(open(name, mode))
+                     ^^^^^^^^^^^^^^^^
+FileNotFoundError: [Errno 2] No such file or directory: 'pretrained_weights/model.pt'
diff --git a/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/requirements.txt b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
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+fsspec==2024.6.1
+e3nn==0.5.6
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+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
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+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
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+colorama==0.4.6
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+tzdata==2025.2
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+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
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+torchmetrics==1.8.2
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+scikit-image==0.25.2
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+beartype==0.19.0
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+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..7c89c66b9b4a1bc2782e10551bc3047212e41be5
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/wandb-metadata.json
@@ -0,0 +1,108 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:12:32.905108Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill",
+    "data_loader.train.batch_size=16",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-12-32",
+  "host":  "hyunwoo-chulhee",
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+  "disk":  {
+    "/":  {
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+      "used":  "629603696640"
+    }
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+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
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+      "architecture":  "Blackwell",
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+    },
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+    },
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+    },
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "ujffuhees9fxxi68frpjq8g2vvca0khc"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/wandb-summary.json b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2fc760491dba5df714129919e72c6daff05cf488
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-12-32/wandb/run-20260510_231232-gl04np86/files/wandb-summary.json
@@ -0,0 +1 @@
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False}, 'seed': 111123, 'trainer': {'max_steps': 1000, 'val_check_interval': 250, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, 'distill': {'teacher_weights': 'pretrained_weights/model.pt', 'output': 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+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
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+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill
+                    - data_loader.train.batch_size=16
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
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+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
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+                cudaVersion: "13.0"
+                disk:
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+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
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+                      name: NVIDIA B200
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+                      memoryTotal: "192265846784"
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+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
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+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
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+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-17-59
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+    value:
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+            seed: 2345
+        train:
+            batch_size: 16
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+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
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+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
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+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
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+mode:
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+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
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+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
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+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
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+                    name: slot
+                child_random_mix_prob: 0.2
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+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
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+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
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+                parent_cross_source: own
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+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
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+            sh_degree: 0
+optimizer:
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+seed:
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+test:
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+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
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+train:
+    value:
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+        direct_camera_pose_enc: false
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+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
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+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
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diff --git a/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/output.log b/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..0a36323feb72e9f675199e79ee79c207f2000245
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/output.log
@@ -0,0 +1,69 @@
+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill, url=https://wandb.ai/know/FlexSplat/runs/dzapa43e
+Starting VGGT distillation: steps=1000, device=cuda, dataset_warmup_steps=500, batch_size=16, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:324: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.999766 parent_rmse=0.527206 rot_deg=1.7452 time=2.37s mem=61.94GB
+step 000010 loss=1.013045 parent_rmse=0.423537 rot_deg=1.5162 time=0.90s mem=79.67GB
+step 000020 loss=0.737583 parent_rmse=0.403606 rot_deg=2.2979 time=0.90s mem=79.67GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1060, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 942, in main
+    teacher_outputs = teacher_forward(
+                      ^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 320, in teacher_forward
+    aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+                                              ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 422, in forward
+    return self._decoder(
+           ^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+    return self._decode(
+           ^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+    tokens, global_idx, global_intermediates = self._process_global_attention(
+                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+    block_tokens = self.global_blocks[global_idx](
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+    q = self.rope(q, pos)
+        ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+    max_position = int(positions.max()) + 1
+                   ^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/requirements.txt b/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..fa3794688d53647d0d884e1f7d798636e05c3a26
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/wandb-metadata.json
@@ -0,0 +1,108 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:17:59.691418Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill",
+    "data_loader.train.batch_size=16",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-17-59",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "634635456512"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "jq7wefahih9e4zgobc78m5rs837l93je"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/wandb-summary.json b/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..ebd1fc4c482b8be5c14c2e83c63b3ab289e0e844
--- /dev/null
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diff --git a/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/logs/debug-internal.log b/vggt_224_distill/2026-05-10_23-17-59/wandb/run-20260510_231759-dzapa43e/logs/debug-internal.log
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new file mode 100644
index 0000000000000000000000000000000000000000..106ed1715067fcf39a7ee036f09d6b42a42e6cc1
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index 0000000000000000000000000000000000000000..fd6ac5f6a8597b4fdee6db1a86881e45a592f27b
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+++ b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/config.yaml
@@ -0,0 +1,299 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            nacwrhtb9bd47xvxejqdlm0ssd2b0q1a:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill
+                    - data_loader.train.batch_size=16
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                host: hyunwoo-chulhee
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-19-28
+                startedAt: "2026-05-10T14:19:29.191022Z"
+                writerId: nacwrhtb9bd47xvxejqdlm0ssd2b0q1a
+        m:
+            - "1": train/step
+              "6":
+                - 3
+              "7": []
+            - "2": train/*
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 61
+                - 62
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 100
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 4
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
+    value:
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    mask_invalid_children: false
+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.00015
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 0
+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: beta
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
diff --git a/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/output.log b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..50fca0e2a49f547058c8d7c4dcdd5c717bdf0324
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/output.log
@@ -0,0 +1,7 @@
+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill, url=https://wandb.ai/know/FlexSplat/runs/08kk0vxd
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1060, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 881, in main
+    raise RuntimeError(
+RuntimeError: VGGT 518->224 distillation requires CUDA. Run with a visible GPU, e.g. CUDA_VISIBLE_DEVICES=3.
diff --git a/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/requirements.txt b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..2122aec635a2d5d63da1cbf713fe9c53fdd7efba
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/wandb-metadata.json
@@ -0,0 +1,36 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:19:29.191022Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill",
+    "data_loader.train.batch_size=16",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-19-28",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "writerId":  "nacwrhtb9bd47xvxejqdlm0ssd2b0q1a"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/wandb-summary.json b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..696b22d54883d2687e0f454058af82977d9552d3
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/files/wandb-summary.json
@@ -0,0 +1 @@
+{"teacher_image_size":518,"freeze_backbone":"none","_runtime":0.051901024,"backbone_lr_multiplier":0.1,"student_image_size":224,"output":"outputs/vggt_224_distill/vggt_224_depth_distill.pt","_step":0,"train/step":0,"_timestamp":1.778422770271185e+09,"dataset_warmup_steps":500,"_wandb":{"runtime":0}}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/logs/debug-core.log b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..4bf7f79f94b0525bcb7efa0eee2e445ea7b26cd6
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/logs/debug-core.log
@@ -0,0 +1,14 @@
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+{"time":"2026-05-10T23:19:29.223363165+09:00","level":"INFO","msg":"server: will exit if parent process dies","ppid":1684075}
+{"time":"2026-05-10T23:19:29.223316194+09:00","level":"INFO","msg":"server: accepting connections","addr":{"Name":"/tmp/wandb-1684075-1684219-2235464408/socket","Net":"unix"}}
+{"time":"2026-05-10T23:19:29.410107715+09:00","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
+{"time":"2026-05-10T23:19:29.414249589+09:00","level":"INFO","msg":"handleInformInit: received","streamId":"08kk0vxd","id":"1(@)"}
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+{"time":"2026-05-10T23:19:30.272338003+09:00","level":"INFO","msg":"connection: closing","id":"1(@)"}
+{"time":"2026-05-10T23:19:30.272388768+09:00","level":"INFO","msg":"connection: closed successfully","id":"1(@)"}
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+{"time":"2026-05-10T23:19:31.409455526+09:00","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"1(@)"}
+{"time":"2026-05-10T23:19:31.409476247+09:00","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"1(@)"}
+{"time":"2026-05-10T23:19:31.40949185+09:00","level":"INFO","msg":"server is closed"}
diff --git a/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/logs/debug-internal.log b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..73f486716812cd600c34f58a36b645cdb443f454
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-19-28/wandb/run-20260510_231929-08kk0vxd/logs/debug-internal.log
@@ -0,0 +1,16 @@
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new file mode 100644
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+2026-05-10 23:19:55,946 INFO    MainThread:1684355 [wandb_run.py:_console_start():2554] atexit reg
+2026-05-10 23:19:55,946 INFO    MainThread:1684355 [wandb_run.py:_redirect():2403] redirect: wrap_raw
+2026-05-10 23:19:55,946 INFO    MainThread:1684355 [wandb_run.py:_redirect():2472] Wrapping output streams.
+2026-05-10 23:19:55,946 INFO    MainThread:1684355 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-05-10 23:19:55,949 INFO    MainThread:1684355 [wandb_init.py:init():1094] run started, returning control to user process
+2026-05-10 23:20:35,744 INFO    wandb-AsyncioManager-main:1684355 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-10 23:20:35,744 INFO    wandb-AsyncioManager-main:1684355 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
+2026-05-10 23:20:36,336 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,339 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,339 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,340 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,340 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,341 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,341 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,341 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,341 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,343 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,343 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,343 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,344 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,344 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,356 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,356 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
diff --git a/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/files/config.yaml b/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6ff3781e2ede1ebe7f79f10b80e7620e9ce2a7dd
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/files/config.yaml
@@ -0,0 +1,351 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            ynnd47j3endu980ehgafcu8o56gbk332:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill
+                    - data_loader.train.batch_size=16
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "634652454912"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-19-54
+                startedAt: "2026-05-10T14:19:54.940582Z"
+                writerId: ynnd47j3endu980ehgafcu8o56gbk332
+        m:
+            - "1": train/step
+              "6":
+                - 3
+              "7": []
+            - "2": train/*
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 61
+                - 62
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 100
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 4
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
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+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
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+        trans_weight: 1
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+    value:
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+mode:
+    value: train
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+            background_color:
+                - 0
+                - 0
+                - 0
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+            name: splatting_cuda
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+                    - 11
+                    - 17
+                    - 23
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+                parent_feature_fusion: residual_weighted
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+                name: hierarchical_attn
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+                use_varlen: true
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+    value:
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+    value: 111123
+test:
+    value:
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+        compute_scores: true
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+train:
+    value:
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+        pixel_error_mode: abs
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+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
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+        validation_projection_max_views: 2
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+trainer:
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+        num_nodes: 1
+        val_check_interval: 250
+wandb:
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+        name: vggt_224_depth_distill
+        project: flexsplat
+        tags:
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+            - vggt
+            - distill
+            - "224"
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diff --git a/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/files/output.log b/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/files/output.log
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+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill, url=https://wandb.ai/know/FlexSplat/runs/ww9dc21q
+Starting VGGT distillation: steps=1000, device=cuda, dataset_warmup_steps=500, batch_size=16, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:324: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.999766 parent_rmse=0.527206 rot_deg=1.7452 time=1.54s mem=61.94GB
+step 000010 loss=1.011969 parent_rmse=0.422351 rot_deg=1.5146 time=0.89s mem=79.67GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1060, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 956, in main
+    total_loss.backward()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/_tensor.py", line 647, in backward
+    torch.autograd.backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/__init__.py", line 354, in backward
+    _engine_run_backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/graph.py", line 829, in _engine_run_backward
+    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/files/requirements.txt b/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/files/requirements.txt
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+dacite==1.9.2
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+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
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+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
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+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
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+pip==25.2
+gmpy2==2.2.1
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+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
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+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/files/wandb-metadata.json
new file mode 100644
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@@ -0,0 +1,108 @@
+{
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+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:19:54.940582Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill",
+    "data_loader.train.batch_size=16",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
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+    "--log-media-every",
+    "200"
+  ],
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+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-19-54",
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+{"time":"2026-05-10T23:20:11.226658672+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-10T23:20:25.950970807+09:00","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":0,"history_lines":1,"events_offset":1,"events_lines":2,"console_offset":1,"console_lines":5}
+{"time":"2026-05-10T23:20:26.347897385+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-10T23:20:36.262727316+09:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
+{"time":"2026-05-10T23:20:36.263175204+09:00","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":1,"history_lines":2,"events_offset":3,"events_lines":1,"console_offset":6,"console_lines":14,"uploaded_len":9,"complete":true,"exit_code":255}
+{"time":"2026-05-10T23:20:36.673979255+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-10T23:20:36.674116089+09:00","level":"INFO","msg":"stream: finishing up"}
+{"time":"2026-05-10T23:20:36.674125934+09:00","level":"INFO","msg":"handler: closed"}
+{"time":"2026-05-10T23:20:36.674373012+09:00","level":"INFO","msg":"sender: closed"}
+{"time":"2026-05-10T23:20:36.674376207+09:00","level":"INFO","msg":"stream: all finished"}
diff --git a/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/logs/debug.log b/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..a374b6e3cc3bd0a31b9eb0b0f6f9cf038413f8d1
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/logs/debug.log
@@ -0,0 +1,372 @@
+2026-05-10 23:19:54,941 INFO    MainThread:1684355 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
+2026-05-10 23:19:54,941 INFO    MainThread:1684355 [wandb_setup.py:_flush():81] Configure stats pid to 1684355
+2026-05-10 23:19:54,941 INFO    MainThread:1684355 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-05-10 23:19:54,941 INFO    MainThread:1684355 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/logs/debug.log
+2026-05-10 23:19:54,941 INFO    MainThread:1684355 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/logs/debug-internal.log
+2026-05-10 23:19:54,941 INFO    MainThread:1684355 [wandb_init.py:init():850] calling init triggers
+2026-05-10 23:19:54,941 INFO    MainThread:1684355 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'predicted', 'gt_target_pose_align_mode': 'global_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'slot', 'mask_invalid_children': False}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 1, 'max_children': 8, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 8, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'vggt_inv_log', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': '', 'freeze_backbone': 'none'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'backend': 'gsplat'}}, 'loss': {'mse': {'weight': 1.0}}, 'wandb': {'project': 'flexsplat', 'name': 'vggt_224_depth_distill', 'mode': 'online', 'tags': ['re10k', 'vggt', 'distill', '224']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 4, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.00015, 'warm_up_steps': 200, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 100, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': False, 'direct_camera_pose_enc': False, 'camera_loss': 0.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'beta', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.0, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'child', 'pixel_error_mode': 'abs'}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 1000, 'val_check_interval': 250, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, 'distill': {'teacher_weights': 'pretrained_weights/model.pt', 'output': 'outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt', 'teacher_image_size': 518, 'student_image_size': 224, 'max_steps': 500, 'save_every': 100, 'log_every': 10, 'log_media_every': 200, 'camera_weight': 1.0, 'parent_weight': 1.0, 'rot_weight': 1.0, 'trans_weight': 1.0, 'intrinsics_weight': 1.0, 'log_artifact': False}, '_wandb': {}}
+2026-05-10 23:19:54,941 INFO    MainThread:1684355 [wandb_init.py:init():898] starting backend
+2026-05-10 23:19:55,157 INFO    MainThread:1684355 [wandb_init.py:init():913] sending inform_init request
+2026-05-10 23:19:55,604 INFO    MainThread:1684355 [wandb_init.py:init():918] backend started and connected
+2026-05-10 23:19:55,606 INFO    MainThread:1684355 [wandb_init.py:init():988] updated telemetry
+2026-05-10 23:19:55,608 INFO    MainThread:1684355 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
+2026-05-10 23:19:55,901 INFO    MainThread:1684355 [wandb_init.py:init():1056] starting run threads in backend
+2026-05-10 23:19:55,946 INFO    MainThread:1684355 [wandb_run.py:_console_start():2554] atexit reg
+2026-05-10 23:19:55,946 INFO    MainThread:1684355 [wandb_run.py:_redirect():2403] redirect: wrap_raw
+2026-05-10 23:19:55,946 INFO    MainThread:1684355 [wandb_run.py:_redirect():2472] Wrapping output streams.
+2026-05-10 23:19:55,946 INFO    MainThread:1684355 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-05-10 23:19:55,949 INFO    MainThread:1684355 [wandb_init.py:init():1094] run started, returning control to user process
+2026-05-10 23:20:35,744 INFO    wandb-AsyncioManager-main:1684355 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-10 23:20:35,744 INFO    wandb-AsyncioManager-main:1684355 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
+2026-05-10 23:20:36,336 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,339 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,339 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,340 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,340 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,341 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,341 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,341 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,341 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,342 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,343 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,343 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,343 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,344 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,344 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,356 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
+2026-05-10 23:20:36,356 ERROR   wandb-AsyncioManager-main:1684355 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
+Traceback (most recent call last):
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
+    await fn()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 45, in publish
+    await self._send_server_request(request)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 78, in _send_server_request
+    raise self._broken_exc.with_traceback(self._broken_tb)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 87, in _send_server_request
+    await self._drain_writer()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/wandb/sdk/lib/service/service_client.py", line 96, in _drain_writer
+    await self._writer.drain()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 392, in drain
+    await self._protocol._drain_helper()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/asyncio/streams.py", line 166, in _drain_helper
+    raise ConnectionResetError('Connection lost')
+ConnectionResetError: Connection lost
diff --git a/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/run-ww9dc21q.wandb b/vggt_224_distill/2026-05-10_23-19-54/wandb/run-20260510_231954-ww9dc21q/run-ww9dc21q.wandb
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index 0000000000000000000000000000000000000000..424025ab6207b68a18170a8702110daa187fba08
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diff --git a/vggt_224_distill/2026-05-10_23-21-00/wandb/debug-internal.log b/vggt_224_distill/2026-05-10_23-21-00/wandb/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..5b784844e4f4ebb876713f5117b592e7488cc79f
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-21-00/wandb/debug-internal.log
@@ -0,0 +1,24 @@
+{"time":"2026-05-10T23:21:01.036318717+09:00","level":"INFO","msg":"wandb-core"}
+{"time":"2026-05-10T23:21:01.036608719+09:00","level":"INFO","msg":"stream: starting","core version":"0.26.1"}
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+{"time":"2026-05-10T23:21:01.474993028+09:00","level":"INFO","msg":"handler: started"}
+{"time":"2026-05-10T23:21:01.475118966+09:00","level":"INFO","msg":"stream: started"}
+{"time":"2026-05-10T23:21:01.475139917+09:00","level":"INFO","msg":"writer: started","stream_id":"bxtz7rvy"}
+{"time":"2026-05-10T23:21:01.47515514+09:00","level":"INFO","msg":"sender: started"}
+{"time":"2026-05-10T23:21:02.013228052+09:00","level":"INFO","msg":"filestream: sending request","total_files":1}
+{"time":"2026-05-10T23:21:02.306101582+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-10T23:21:17.01717697+09:00","level":"INFO","msg":"filestream: sending request","total_files":3,"events_offset":0,"events_lines":1,"console_offset":0,"console_lines":1,"uploaded_len":2}
+{"time":"2026-05-10T23:21:17.28599159+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-10T23:21:32.013629824+09:00","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":0,"history_lines":1,"events_offset":1,"events_lines":2,"console_offset":1,"console_lines":5,"uploaded_len":6}
+{"time":"2026-05-10T23:21:32.312543667+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-10T23:21:47.014030343+09:00","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":1,"history_lines":2,"events_offset":3,"events_lines":2,"console_offset":6,"console_lines":2}
+{"time":"2026-05-10T23:21:47.33139122+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-10T23:22:02.013673122+09:00","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":3,"history_lines":2,"events_offset":5,"events_lines":2,"console_offset":8,"console_lines":2}
+{"time":"2026-05-10T23:22:02.307950804+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-10T23:22:02.952506806+09:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
+{"time":"2026-05-10T23:22:02.952799032+09:00","level":"INFO","msg":"filestream: sending request","total_files":4,"history_offset":5,"history_lines":1,"events_offset":7,"events_lines":1,"console_offset":10,"console_lines":61,"uploaded_len":3,"complete":true,"exit_code":255}
+{"time":"2026-05-10T23:22:03.255385008+09:00","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
+{"time":"2026-05-10T23:22:03.255458147+09:00","level":"INFO","msg":"stream: finishing up"}
+{"time":"2026-05-10T23:22:03.255464727+09:00","level":"INFO","msg":"handler: closed"}
+{"time":"2026-05-10T23:22:03.255511266+09:00","level":"INFO","msg":"sender: closed"}
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diff --git a/vggt_224_distill/2026-05-10_23-21-00/wandb/debug.log b/vggt_224_distill/2026-05-10_23-21-00/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..ebc70e010317f8033746d8190241a21b8c5dee03
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-21-00/wandb/debug.log
@@ -0,0 +1,21 @@
+2026-05-10 23:21:00,804 INFO    MainThread:1684850 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
+2026-05-10 23:21:00,804 INFO    MainThread:1684850 [wandb_setup.py:_flush():81] Configure stats pid to 1684850
+2026-05-10 23:21:00,804 INFO    MainThread:1684850 [wandb_setup.py:_flush():81] Loading settings from environment variables
+2026-05-10 23:21:00,804 INFO    MainThread:1684850 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/logs/debug.log
+2026-05-10 23:21:00,804 INFO    MainThread:1684850 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/logs/debug-internal.log
+2026-05-10 23:21:00,804 INFO    MainThread:1684850 [wandb_init.py:init():850] calling init triggers
+2026-05-10 23:21:00,804 INFO    MainThread:1684850 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'predicted', 'gt_target_pose_align_mode': 'global_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'slot', 'mask_invalid_children': False}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 1, 'max_children': 8, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 8, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'vggt_inv_log', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': '', 'freeze_backbone': 'none'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'backend': 'gsplat'}}, 'loss': {'mse': {'weight': 1.0}}, 'wandb': {'project': 'flexsplat', 'name': 'vggt_224_depth_distill', 'mode': 'online', 'tags': ['re10k', 'vggt', 'distill', '224']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 4, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.00015, 'warm_up_steps': 200, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 100, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': False, 'direct_camera_pose_enc': False, 'camera_loss': 0.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'beta', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.0, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'child', 'pixel_error_mode': 'abs'}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 1000, 'val_check_interval': 250, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, 'distill': {'teacher_weights': 'pretrained_weights/model.pt', 'output': 'outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt', 'teacher_image_size': 518, 'student_image_size': 224, 'max_steps': 500, 'save_every': 100, 'log_every': 10, 'log_media_every': 200, 'camera_weight': 1.0, 'parent_weight': 1.0, 'rot_weight': 1.0, 'trans_weight': 1.0, 'intrinsics_weight': 1.0, 'log_artifact': False}, '_wandb': {}}
+2026-05-10 23:21:00,804 INFO    MainThread:1684850 [wandb_init.py:init():898] starting backend
+2026-05-10 23:21:01,022 INFO    MainThread:1684850 [wandb_init.py:init():913] sending inform_init request
+2026-05-10 23:21:01,475 INFO    MainThread:1684850 [wandb_init.py:init():918] backend started and connected
+2026-05-10 23:21:01,477 INFO    MainThread:1684850 [wandb_init.py:init():988] updated telemetry
+2026-05-10 23:21:01,480 INFO    MainThread:1684850 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
+2026-05-10 23:21:01,964 INFO    MainThread:1684850 [wandb_init.py:init():1056] starting run threads in backend
+2026-05-10 23:21:02,009 INFO    MainThread:1684850 [wandb_run.py:_console_start():2554] atexit reg
+2026-05-10 23:21:02,009 INFO    MainThread:1684850 [wandb_run.py:_redirect():2403] redirect: wrap_raw
+2026-05-10 23:21:02,009 INFO    MainThread:1684850 [wandb_run.py:_redirect():2472] Wrapping output streams.
+2026-05-10 23:21:02,009 INFO    MainThread:1684850 [wandb_run.py:_redirect():2495] Redirects installed.
+2026-05-10 23:21:02,012 INFO    MainThread:1684850 [wandb_init.py:init():1094] run started, returning control to user process
+2026-05-10 23:22:02,406 INFO    wandb-AsyncioManager-main:1684850 [service_client.py:_forward_responses():134] Reached EOF.
+2026-05-10 23:22:02,406 INFO    wandb-AsyncioManager-main:1684850 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
diff --git a/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/files/config.yaml b/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..50c4a186911dcfd4c3624580c2c7519c87276421
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/files/config.yaml
@@ -0,0 +1,351 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            49ugbxfiismyjw61hf8vzxwtwrctt1cv:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill
+                    - data_loader.train.batch_size=16
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "634652823552"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-21-00
+                startedAt: "2026-05-10T14:21:00.803402Z"
+                writerId: 49ugbxfiismyjw61hf8vzxwtwrctt1cv
+        m:
+            - "1": train/step
+              "6":
+                - 3
+              "7": []
+            - "2": train/*
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 61
+                - 62
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 100
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 4
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
+    value:
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    mask_invalid_children: false
+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.00015
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 0
+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: beta
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
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diff --git a/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/files/output.log b/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/files/output.log
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+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill, url=https://wandb.ai/know/FlexSplat/runs/bxtz7rvy
+Starting VGGT distillation: steps=1000, device=cuda, dataset_warmup_steps=500, batch_size=16, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:324: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.999766 parent_rmse=0.527206 rot_deg=1.7452 time=1.54s mem=61.94GB
+step 000010 loss=1.012619 parent_rmse=0.423156 rot_deg=1.4977 time=0.89s mem=79.67GB
+step 000020 loss=0.736722 parent_rmse=0.403027 rot_deg=2.2713 time=0.89s mem=79.67GB
+step 000030 loss=0.702087 parent_rmse=0.342224 rot_deg=1.6815 time=0.91s mem=79.67GB
+step 000040 loss=inf parent_rmse=0.335765 rot_deg=1.5556 time=0.90s mem=79.67GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1060, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 942, in main
+    teacher_outputs = teacher_forward(
+                      ^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 320, in teacher_forward
+    aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+                                              ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 422, in forward
+    return self._decoder(
+           ^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+    return self._decode(
+           ^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 321, in _decode
+    tokens, frame_idx, frame_intermediates = self._process_frame_attention(
+                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 445, in _process_frame_attention
+    tokens = self.frame_blocks[frame_idx](tokens, pos=pos)
+             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+    q = self.rope(q, pos)
+        ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+    max_position = int(positions.max()) + 1
+                   ^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/files/requirements.txt b/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/files/requirements.txt
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+torch==2.8.0+cu128
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+imageio==2.37.0
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+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
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+filelock==3.17.0
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+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
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+packaging==24.2
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+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
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+aiosignal==1.4.0
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+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
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diff --git a/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-21-00/wandb/run-20260510_232100-bxtz7rvy/files/wandb-metadata.json
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'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'backend': 'gsplat'}}, 'loss': {'mse': {'weight': 1.0}}, 'wandb': {'project': 'flexsplat', 'name': 'vggt_224_depth_distill', 'mode': 'online', 'tags': ['re10k', 'vggt', 'distill', '224']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 4, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.00015, 'warm_up_steps': 200, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 100, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': False, 'direct_camera_pose_enc': False, 'camera_loss': 0.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'beta', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.0, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'child', 'pixel_error_mode': 'abs'}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 1000, 'val_check_interval': 250, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, 'distill': {'teacher_weights': 'pretrained_weights/model.pt', 'output': 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+        e:
+            gnub3mc6x9txhbt9c2m6gxfz0r0xuqe1:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill
+                    - data_loader.train.batch_size=16
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
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+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
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+                cpu_count: 72
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+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
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+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-22-17
+                startedAt: "2026-05-10T14:22:17.728232Z"
+                writerId: gnub3mc6x9txhbt9c2m6gxfz0r0xuqe1
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+checkpointing:
+    value:
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+        save_top_k: 1
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+data_loader:
+    value:
+        test:
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+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 4
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
+    value:
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+mode:
+    value: train
+model:
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+            background_color:
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+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
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+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
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+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
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+        lr: 0.00015
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
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+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
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+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
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diff --git a/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/output.log b/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..14b3fa23f3878a6b9a76faf482fa809f94d10a6d
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/output.log
@@ -0,0 +1,58 @@
+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill, url=https://wandb.ai/know/FlexSplat/runs/x4x9g1zy
+Starting VGGT distillation: steps=1000, device=cuda, dataset_warmup_steps=500, batch_size=16, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:324: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.999766 parent_rmse=0.527206 rot_deg=1.7452 time=1.50s mem=61.94GB
+step 000010 loss=1.011640 parent_rmse=0.421997 rot_deg=1.5033 time=0.89s mem=79.67GB
+step 000020 loss=0.737635 parent_rmse=0.403523 rot_deg=2.3002 time=0.90s mem=79.67GB
+step 000030 loss=0.702716 parent_rmse=0.342842 rot_deg=1.7063 time=0.91s mem=79.67GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1060, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 949, in main
+    student_outputs = student_forward(encoder, batch, step)
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 360, in student_forward
+    backbone_outputs = encoder.backbone(batch["context"], target=None)
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/backbone_vggt.py", line 366, in forward
+    aggregated_tokens_list, patch_start_idx = self.aggregator._decoder(
+                                              ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+    return self._decode(
+           ^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 321, in _decode
+    tokens, frame_idx, frame_intermediates = self._process_frame_attention(
+                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 445, in _process_frame_attention
+    tokens = self.frame_blocks[frame_idx](tokens, pos=pos)
+             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 52, in forward
+    qkv = self.qkv(x).reshape(B, N, 3, self.num_heads, self.head_dim).permute(2, 0, 3, 1, 4)
+          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/requirements.txt b/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..46130e9b9e19b6d88c989bd6f2187debe632bed4
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/wandb-metadata.json
@@ -0,0 +1,108 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:22:17.728232Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill",
+    "data_loader.train.batch_size=16",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-22-17",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "634653188096"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "gnub3mc6x9txhbt9c2m6gxfz0r0xuqe1"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/wandb-summary.json b/vggt_224_distill/2026-05-10_23-22-17/wandb/run-20260510_232217-x4x9g1zy/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..d5c8aeb8638064b4bdf75cc1d0ac8465e0fb5ce3
--- /dev/null
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diff --git a/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/config.yaml b/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..02d59e3be2858c6ae1da102b94ca93b353ca5cac
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+++ b/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/config.yaml
@@ -0,0 +1,351 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            ksdb2bsezmf4zig8vheef9qfe0idzdk1:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill
+                    - data_loader.train.batch_size=16
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "634653540352"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python
+                git:
+                    commit: c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-23-38
+                startedAt: "2026-05-10T14:23:38.507340Z"
+                writerId: ksdb2bsezmf4zig8vheef9qfe0idzdk1
+        m:
+            - "1": train/step
+              "6":
+                - 3
+              "7": []
+            - "2": train/*
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
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+                - 61
+                - 62
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 100
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 4
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
+    value:
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    mask_invalid_children: false
+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.00015
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 0
+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: beta
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
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+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill, url=https://wandb.ai/know/FlexSplat/runs/8k07fupq
+Starting VGGT distillation: steps=1000, device=cuda, dataset_warmup_steps=500, batch_size=16, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:324: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.999766 parent_rmse=0.527206 rot_deg=1.7452 time=1.43s mem=61.94GB
+step 000010 loss=1.012081 parent_rmse=0.422508 rot_deg=1.5305 time=0.90s mem=79.67GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1060, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 942, in main
+    teacher_outputs = teacher_forward(
+                      ^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 320, in teacher_forward
+    aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+                                              ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 421, in forward
+    patch_tokens = self._encoder(images)
+                   ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 251, in _encoder
+    patch_tokens = self.patch_embed(images)
+                   ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 331, in forward
+    ret = self.forward_features(*args, **kwargs)
+          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 267, in forward_features
+    x = blk(x)
+        ^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 245, in forward
+    return super().forward(x_or_x_list)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 89, in forward
+    return super().forward(x)
+           ^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 79, in forward
+    x = self.proj_drop(x)
+        ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1769, in _wrapped_call_impl
+    def _wrapped_call_impl(self, *args, **kwargs):
+
+KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/requirements.txt b/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/requirements.txt
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+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..6c1bc244156747bf0e7908b81432021d119b0f45
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/wandb-metadata.json
@@ -0,0 +1,108 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:23:38.507340Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill",
+    "data_loader.train.batch_size=16",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "c0a2c83cb20ce03c336d8e1e3b83779ca8aaaa7d"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-23-38",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "634653540352"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
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+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
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+      "architecture":  "Blackwell",
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+    },
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "ksdb2bsezmf4zig8vheef9qfe0idzdk1"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/wandb-summary.json b/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..95bd1ed0a94b038528056a483f833b623be25039
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diff --git a/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/logs/debug-core.log b/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/logs/debug-core.log
new file mode 100644
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--- /dev/null
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diff --git a/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/logs/debug-internal.log b/vggt_224_distill/2026-05-10_23-23-38/wandb/run-20260510_232338-8k07fupq/logs/debug-internal.log
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+++ b/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/config.yaml
@@ -0,0 +1,351 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            r52owl0koys2fj4pdzujtp889s4jwx2m:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill_B16_GPU8
+                    - data_loader.train.batch_size=16
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill_B16_GPU8.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "634654466048"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-29-54
+                startedAt: "2026-05-10T14:29:54.530865Z"
+                writerId: r52owl0koys2fj4pdzujtp889s4jwx2m
+        m:
+            - "1": train/step
+              "6":
+                - 3
+              "7": []
+            - "2": train/*
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
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+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 61
+                - 62
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 100
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 16
+            num_workers: 4
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
+    value:
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    mask_invalid_children: false
+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.00015
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 0
+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: beta
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill_B16_GPU8
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
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+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill_B16_GPU8, url=https://wandb.ai/know/FlexSplat/runs/yw366xvu
+Starting VGGT distillation: steps=1000, device=cuda:0, world_size=8, dataset_warmup_steps=500, per_gpu_batch_size=16, global_batch_size=128, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:387: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.888280 parent_rmse=0.474805 rot_deg=1.8110 time=1.91s mem=64.63GB
+step 000010 loss=0.944285 parent_rmse=0.399315 rot_deg=1.8835 time=0.94s mem=73.09GB
+step 000020 loss=0.791926 parent_rmse=0.356327 rot_deg=2.3972 time=0.95s mem=73.09GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1027, in main
+    teacher_outputs = teacher_forward(
+                      ^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 383, in teacher_forward
+    aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+                                              ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 422, in forward
+    return self._decoder(
+           ^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+    return self._decode(
+           ^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+    tokens, global_idx, global_intermediates = self._process_global_attention(
+                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+    block_tokens = self.global_blocks[global_idx](
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 58, in forward
+    k = self.rope(k, pos)
+        ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+    max_position = int(positions.max()) + 1
+                   ^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+[rank0]:     main()
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1027, in main
+[rank0]:     teacher_outputs = teacher_forward(
+[rank0]:                       ^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+[rank0]:     return func(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 383, in teacher_forward
+[rank0]:     aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+[rank0]:                                               ^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 422, in forward
+[rank0]:     return self._decoder(
+[rank0]:            ^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+[rank0]:     return self._decode(
+[rank0]:            ^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+[rank0]:     tokens, global_idx, global_intermediates = self._process_global_attention(
+[rank0]:                                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+[rank0]:     block_tokens = self.global_blocks[global_idx](
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+[rank0]:     x = x + attn_residual_func(x, pos=pos)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+[rank0]:     return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+[rank0]:                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 58, in forward
+[rank0]:     k = self.rope(k, pos)
+[rank0]:         ^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+[rank0]:     max_position = int(positions.max()) + 1
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^
+[rank0]: KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/requirements.txt b/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/requirements.txt
@@ -0,0 +1,119 @@
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+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
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+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..339b2b9cbcdae11d17d30a2c4eaa44980c83d4e6
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/wandb-metadata.json
@@ -0,0 +1,108 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:29:54.530865Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill_B16_GPU8",
+    "data_loader.train.batch_size=16",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill_B16_GPU8.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-29-54",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
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+      "used":  "634654466048"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
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+  "cudaVersion":  "13.0",
+  "writerId":  "r52owl0koys2fj4pdzujtp889s4jwx2m"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/wandb-summary.json b/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..12aa87d82953fb3d2da83978d1de3d0ce61119eb
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/files/wandb-summary.json
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diff --git a/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/logs/debug-core.log b/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..9b003b16412a1817a59ac75eb23502d01af05fe8
--- /dev/null
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diff --git a/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/logs/debug-internal.log b/vggt_224_distill/2026-05-10_23-29-54/wandb/run-20260510_232954-yw366xvu/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..c3b5f5c2c98671eca69db623111decbd482699d8
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new file mode 100644
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+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill_B32_GPU8, url=https://wandb.ai/know/FlexSplat/runs/vvjhaf8p
+Starting VGGT distillation: steps=1000, device=cuda:0, world_size=8, dataset_warmup_steps=500, per_gpu_batch_size=32, global_batch_size=256, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:387: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
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+step 000010 loss=0.839682 parent_rmse=0.393467 rot_deg=2.3117 time=1.70s mem=121.05GB
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+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/optim/lr_scheduler.py:209: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+step 000200 loss=inf parent_rmse=0.177201 rot_deg=2.7843 time=1.69s mem=121.06GB
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+step 000410 loss=0.457821 parent_rmse=0.137616 rot_deg=2.5607 time=1.69s mem=121.06GB
+step 000420 loss=0.492425 parent_rmse=0.145708 rot_deg=2.4744 time=1.69s mem=121.06GB
+step 000430 loss=inf parent_rmse=0.128156 rot_deg=2.4804 time=1.69s mem=121.06GB
+step 000440 loss=inf parent_rmse=0.126366 rot_deg=2.5748 time=1.70s mem=121.06GB
+step 000450 loss=inf parent_rmse=0.169432 rot_deg=2.3870 time=1.70s mem=121.06GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1041, in main
+    total_loss.backward()
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/_tensor.py", line 647, in backward
+    torch.autograd.backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/__init__.py", line 354, in backward
+    _engine_run_backward(
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/graph.py", line 829, in _engine_run_backward
+    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/data/_utils/signal_handling.py", line 73, in handler
+    _error_if_any_worker_fails()
+RuntimeError: DataLoader worker (pid 1687759) is killed by signal: Bus error. It is possible that dataloader's workers are out of shared memory. Please try to raise your shared memory limit.
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+[rank0]:     main()
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1041, in main
+[rank0]:     total_loss.backward()
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/_tensor.py", line 647, in backward
+[rank0]:     torch.autograd.backward(
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/__init__.py", line 354, in backward
+[rank0]:     _engine_run_backward(
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/autograd/graph.py", line 829, in _engine_run_backward
+[rank0]:     return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/data/_utils/signal_handling.py", line 73, in handler
+[rank0]:     _error_if_any_worker_fails()
+[rank0]: RuntimeError: DataLoader worker (pid 1687759) is killed by signal: Bus error. It is possible that dataloader's workers are out of shared memory. Please try to raise your shared memory limit.
diff --git a/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/files/requirements.txt b/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/files/requirements.txt
@@ -0,0 +1,119 @@
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+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..62d3819be8500eed5e08469710d24375c380a91d
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/files/wandb-metadata.json
@@ -0,0 +1,108 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:31:08.882355Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill_B32_GPU8",
+    "data_loader.train.batch_size=32",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill_B32_GPU8.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-31-08",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "634655330304"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "0fo0nk9cdnfjic6mz0pun48r72cg4bs7"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/files/wandb-summary.json b/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..2a57d4573f5c7ecc04476819daf35d1f5c6bfb53
--- /dev/null
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diff --git a/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/logs/debug-internal.log b/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/logs/debug-internal.log
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diff --git a/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/logs/debug.log b/vggt_224_distill/2026-05-10_23-31-08/wandb/run-20260510_233108-vvjhaf8p/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..1e7420adf27e2b77d6074e8584bdbdf3dab3248f
--- /dev/null
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diff --git a/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/config.yaml b/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/config.yaml
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+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            4ohesd2apxjt5kbgze1ru53wpy8cbwyz:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill_B32_GPU8
+                    - data_loader.train.batch_size=32
+                    - data_loader.train.num_workers=2
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill_B32_GPU8.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
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+                        used: "634658942976"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
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+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-57-46
+                startedAt: "2026-05-10T14:57:47.327279Z"
+                writerId: 4ohesd2apxjt5kbgze1ru53wpy8cbwyz
+        m:
+            - "1": train/step
+              "6":
+                - 3
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+              "6":
+                - 1
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+        python_version: 3.11.15
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+checkpointing:
+    value:
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+        save_top_k: 1
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+data_loader:
+    value:
+        test:
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+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 32
+            num_workers: 2
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
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+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
+    value:
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+        encoder:
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+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
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+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    mask_invalid_children: false
+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.00015
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
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+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
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+        gaussian_train_ratio_value: 0.5
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+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill_B32_GPU8
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
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+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill_B32_GPU8, url=https://wandb.ai/know/FlexSplat/runs/x4z5ae8y
+Starting VGGT distillation: steps=1000, device=cuda:0, world_size=8, dataset_warmup_steps=500, per_gpu_batch_size=32, global_batch_size=256, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:387: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.902229 parent_rmse=0.478670 rot_deg=1.9180 time=2.64s mem=112.58GB
+step 000010 loss=0.838116 parent_rmse=0.410027 rot_deg=2.0745 time=1.70s mem=121.05GB
+step 000020 loss=0.802854 parent_rmse=0.337263 rot_deg=2.7066 time=1.70s mem=121.05GB
+step 000030 loss=0.731688 parent_rmse=0.314749 rot_deg=2.1375 time=1.70s mem=121.05GB
+step 000040 loss=inf parent_rmse=0.323107 rot_deg=2.2009 time=1.70s mem=121.05GB
+step 000050 loss=inf parent_rmse=0.315409 rot_deg=2.4457 time=1.70s mem=121.05GB
+step 000060 loss=inf parent_rmse=0.305957 rot_deg=2.6886 time=1.70s mem=121.05GB
+step 000070 loss=inf parent_rmse=0.291558 rot_deg=2.3858 time=1.70s mem=121.05GB
+step 000080 loss=inf parent_rmse=0.278740 rot_deg=2.4116 time=1.69s mem=121.05GB
+step 000090 loss=inf parent_rmse=0.255112 rot_deg=2.6535 time=1.69s mem=121.05GB
+step 000100 loss=inf parent_rmse=0.233266 rot_deg=2.9600 time=1.70s mem=121.05GB
+step 000110 loss=inf parent_rmse=0.222138 rot_deg=3.0345 time=1.71s mem=121.05GB
+step 000120 loss=0.394298 parent_rmse=0.254773 rot_deg=3.3973 time=1.70s mem=121.06GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1027, in main
+    teacher_outputs = teacher_forward(
+                      ^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 383, in teacher_forward
+    aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+                                              ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 422, in forward
+    return self._decoder(
+           ^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+    return self._decode(
+           ^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+    tokens, global_idx, global_intermediates = self._process_global_attention(
+                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+    block_tokens = self.global_blocks[global_idx](
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+    q = self.rope(q, pos)
+        ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+    max_position = int(positions.max()) + 1
+                   ^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+[rank0]:     main()
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1027, in main
+[rank0]:     teacher_outputs = teacher_forward(
+[rank0]:                       ^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+[rank0]:     return func(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 383, in teacher_forward
+[rank0]:     aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+[rank0]:                                               ^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 422, in forward
+[rank0]:     return self._decoder(
+[rank0]:            ^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+[rank0]:     return self._decode(
+[rank0]:            ^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+[rank0]:     tokens, global_idx, global_intermediates = self._process_global_attention(
+[rank0]:                                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+[rank0]:     block_tokens = self.global_blocks[global_idx](
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+[rank0]:     x = x + attn_residual_func(x, pos=pos)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+[rank0]:     return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+[rank0]:                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+[rank0]:     q = self.rope(q, pos)
+[rank0]:         ^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+[rank0]:     max_position = int(positions.max()) + 1
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^
+[rank0]: KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/requirements.txt b/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/requirements.txt
@@ -0,0 +1,119 @@
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+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
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+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/wandb-metadata.json b/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..b5c0cb162000bea222a95a472b76ec695a71e2b3
--- /dev/null
+++ b/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/wandb-metadata.json
@@ -0,0 +1,109 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T14:57:47.327279Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill_B32_GPU8",
+    "data_loader.train.batch_size=32",
+    "data_loader.train.num_workers=2",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill_B32_GPU8.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-10_23-57-46",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "634658942976"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "4ohesd2apxjt5kbgze1ru53wpy8cbwyz"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/wandb-summary.json b/vggt_224_distill/2026-05-10_23-57-46/wandb/run-20260510_235747-x4z5ae8y/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..52edca2974fa6165b289fb4af4159199d34bd87e
--- /dev/null
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diff --git a/vggt_224_distill/2026-05-11_00-02-20/wandb/run-20260511_000220-r0iiwh9x/files/output.log b/vggt_224_distill/2026-05-11_00-02-20/wandb/run-20260511_000220-r0iiwh9x/files/output.log
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+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill_B32_GPU8, url=https://wandb.ai/know/FlexSplat/runs/r0iiwh9x
+Starting VGGT distillation: steps=1000, device=cuda:0, world_size=8, dataset_warmup_steps=500, per_gpu_batch_size=32, global_batch_size=256, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:387: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
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+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/optim/lr_scheduler.py:209: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
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diff --git a/vggt_224_distill/2026-05-11_00-02-20/wandb/run-20260511_000220-r0iiwh9x/files/requirements.txt b/vggt_224_distill/2026-05-11_00-02-20/wandb/run-20260511_000220-r0iiwh9x/files/requirements.txt
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'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 8, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'vggt_inv_log', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': '', 'freeze_backbone': 'none'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'backend': 'gsplat'}}, 'loss': {'mse': {'weight': 1.0}}, 'wandb': {'project': 'flexsplat', 'name': 'vggt_224_depth_distill_B32_GPU8', 'mode': 'online', 'tags': ['re10k', 'vggt', 'distill', '224']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 0, 'persistent_workers': True, 'batch_size': 32, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.001, 'warm_up_steps': 200, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 100, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': False, 'direct_camera_pose_enc': False, 'camera_loss': 0.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'beta', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.0, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'child', 'pixel_error_mode': 'abs'}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 1000, 'val_check_interval': 250, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, 'distill': {'teacher_weights': 'pretrained_weights/model.pt', 'output': 'outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt', 'teacher_image_size': 518, 'student_image_size': 224, 'max_steps': 500, 'save_every': 100, 'log_every': 10, 'log_media_every': 200, 'camera_weight': 1.0, 'parent_weight': 1.0, 'rot_weight': 1.0, 'trans_weight': 1.0, 'intrinsics_weight': 1.0, 'log_artifact': False}, '_wandb': {}}
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diff --git a/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/files/config.yaml b/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/files/config.yaml
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+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
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+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill_B32_GPU8
+                    - data_loader.train.batch_size=32
+                    - data_loader.train.num_workers=0
+                    - optimizer.lr=1e-3
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill_B32_GPU8.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
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+                cudaVersion: "13.0"
+                disk:
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+                        used: "634645782528"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
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+                      memoryTotal: "192265846784"
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+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
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+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
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+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-11_00-31-46
+                startedAt: "2026-05-10T15:31:46.479466Z"
+                writerId: vxed5krc1tdze45x56rs54dum5gbmej5
+        m:
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+              "6":
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+checkpointing:
+    value:
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+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
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+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 32
+            num_workers: 0
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
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+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
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+mode:
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+model:
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+        decoder:
+            backend: gsplat
+            background_color:
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+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+        encoder:
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+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    mask_invalid_children: false
+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.001
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
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+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
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+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill_B32_GPU8
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
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diff --git a/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/files/output.log b/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..479b81e52c44d86ca0ec02390f0c316fb03b3122
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/files/output.log
@@ -0,0 +1,165 @@
+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill_B32_GPU8, url=https://wandb.ai/know/FlexSplat/runs/jhh0zdz8
+Starting VGGT distillation: steps=1000, device=cuda:0, world_size=8, dataset_warmup_steps=500, per_gpu_batch_size=32, global_batch_size=256, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:387: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.863415 parent_rmse=0.461186 rot_deg=2.0891 time=4.40s mem=112.58GB
+step 000010 loss=0.769129 parent_rmse=0.333759 rot_deg=2.0957 time=3.24s mem=121.05GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1034, in main
+    student_outputs = ddp_student(batch, step)
+                      ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1648, in forward
+    else self._run_ddp_forward(*inputs, **kwargs)
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1474, in _run_ddp_forward
+    return self.module(*inputs, **kwargs)  # type: ignore[index]
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 132, in forward
+    return student_forward(self.encoder, batch, step)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 423, in student_forward
+    backbone_outputs = encoder.backbone(batch["context"], target=None)
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/backbone_vggt.py", line 366, in forward
+    aggregated_tokens_list, patch_start_idx = self.aggregator._decoder(
+                                              ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+    return self._decode(
+           ^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+    tokens, global_idx, global_intermediates = self._process_global_attention(
+                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+    block_tokens = self.global_blocks[global_idx](
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+    q = self.rope(q, pos)
+        ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+    max_position = int(positions.max()) + 1
+                   ^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+[rank0]:     main()
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1034, in main
+[rank0]:     student_outputs = ddp_student(batch, step)
+[rank0]:                       ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1648, in forward
+[rank0]:     else self._run_ddp_forward(*inputs, **kwargs)
+[rank0]:          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1474, in _run_ddp_forward
+[rank0]:     return self.module(*inputs, **kwargs)  # type: ignore[index]
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 132, in forward
+[rank0]:     return student_forward(self.encoder, batch, step)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 423, in student_forward
+[rank0]:     backbone_outputs = encoder.backbone(batch["context"], target=None)
+[rank0]:                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/backbone_vggt.py", line 366, in forward
+[rank0]:     aggregated_tokens_list, patch_start_idx = self.aggregator._decoder(
+[rank0]:                                               ^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+[rank0]:     return self._decode(
+[rank0]:            ^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+[rank0]:     tokens, global_idx, global_intermediates = self._process_global_attention(
+[rank0]:                                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+[rank0]:     block_tokens = self.global_blocks[global_idx](
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+[rank0]:     x = x + attn_residual_func(x, pos=pos)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+[rank0]:     return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+[rank0]:                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+[rank0]:     q = self.rope(q, pos)
+[rank0]:         ^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+[rank0]:     max_position = int(positions.max()) + 1
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^
+[rank0]: KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/files/requirements.txt b/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
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+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
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+proglog==0.1.12
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+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
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diff --git a/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/logs/debug-core.log b/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/logs/debug-core.log
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diff --git a/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/logs/debug.log b/vggt_224_distill/2026-05-11_00-31-46/wandb/run-20260511_003146-jhh0zdz8/logs/debug.log
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+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'predicted', 'gt_target_pose_align_mode': 'global_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'slot', 'mask_invalid_children': False}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 1, 'max_children': 8, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 8, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'vggt_inv_log', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': '', 'freeze_backbone': 'none'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'backend': 'gsplat'}}, 'loss': {'mse': {'weight': 1.0}}, 'wandb': {'project': 'flexsplat', 'name': 'vggt_224_depth_distill_B32_GPU4', 'mode': 'online', 'tags': ['re10k', 'vggt', 'distill', '224']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 2, 'persistent_workers': True, 'batch_size': 32, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.0005, 'warm_up_steps': 200, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 100, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': False, 'direct_camera_pose_enc': False, 'camera_loss': 0.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'beta', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.0, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'child', 'pixel_error_mode': 'abs'}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 1000, 'val_check_interval': 250, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, 'distill': {'teacher_weights': 'pretrained_weights/model.pt', 'output': 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diff --git a/vggt_224_distill/2026-05-11_00-33-14/wandb/run-20260511_003314-5k1t3boq/files/config.yaml b/vggt_224_distill/2026-05-11_00-33-14/wandb/run-20260511_003314-5k1t3boq/files/config.yaml
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index 0000000000000000000000000000000000000000..343928c6134f23c77cd3b06e7466d8ce42406a23
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+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            shq968pcmmr9rotfyp8cje5r3o06s783:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill_B32_GPU4
+                    - data_loader.train.batch_size=32
+                    - data_loader.train.num_workers=2
+                    - optimizer.lr=5e-4
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill_B32_GPU4.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "634646163456"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-11_00-33-14
+                startedAt: "2026-05-10T15:33:14.566822Z"
+                writerId: shq968pcmmr9rotfyp8cje5r3o06s783
+        m:
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+              "6":
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+checkpointing:
+    value:
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+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 32
+            num_workers: 2
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
+    value:
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    mask_invalid_children: false
+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0005
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 0
+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: beta
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill_B32_GPU4
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
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+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill_B32_GPU4, url=https://wandb.ai/know/FlexSplat/runs/5k1t3boq
+Starting VGGT distillation: steps=1000, device=cuda, world_size=1, dataset_warmup_steps=500, per_gpu_batch_size=32, global_batch_size=32, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:387: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.937260 parent_rmse=0.481532 rot_deg=2.0229 time=2.12s mem=112.02GB
+step 000010 loss=0.793114 parent_rmse=0.355060 rot_deg=2.8247 time=1.65s mem=138.78GB
+step 000020 loss=0.810582 parent_rmse=0.313909 rot_deg=2.4333 time=1.65s mem=138.78GB
+step 000030 loss=0.635732 parent_rmse=0.363444 rot_deg=3.1352 time=1.66s mem=138.78GB
+step 000040 loss=0.533789 parent_rmse=0.317860 rot_deg=3.2931 time=1.65s mem=138.78GB
+step 000050 loss=0.662249 parent_rmse=0.308989 rot_deg=2.8405 time=1.65s mem=138.78GB
+step 000060 loss=inf parent_rmse=0.282237 rot_deg=3.2265 time=1.65s mem=138.78GB
+step 000070 loss=inf parent_rmse=0.224013 rot_deg=3.2580 time=1.65s mem=138.78GB
+step 000080 loss=0.290411 parent_rmse=0.247747 rot_deg=4.0020 time=1.65s mem=138.78GB
+step 000090 loss=0.544330 parent_rmse=0.370366 rot_deg=4.4476 time=1.64s mem=138.78GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1027, in main
+    teacher_outputs = teacher_forward(
+                      ^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 383, in teacher_forward
+    aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+                                              ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 422, in forward
+    return self._decoder(
+           ^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+    return self._decode(
+           ^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 321, in _decode
+    tokens, frame_idx, frame_intermediates = self._process_frame_attention(
+                                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 445, in _process_frame_attention
+    tokens = self.frame_blocks[frame_idx](tokens, pos=pos)
+             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+    q = self.rope(q, pos)
+        ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+    max_position = int(positions.max()) + 1
+                   ^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-11_00-33-14/wandb/run-20260511_003314-5k1t3boq/files/requirements.txt b/vggt_224_distill/2026-05-11_00-33-14/wandb/run-20260511_003314-5k1t3boq/files/requirements.txt
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diff --git a/vggt_224_distill/2026-05-11_00-33-14/wandb/run-20260511_003314-5k1t3boq/logs/debug-core.log b/vggt_224_distill/2026-05-11_00-33-14/wandb/run-20260511_003314-5k1t3boq/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..b901588b7e4b69d7701636d0955b5feb4342afd7
--- /dev/null
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diff --git a/vggt_224_distill/2026-05-11_00-33-14/wandb/run-20260511_003314-5k1t3boq/logs/debug-internal.log b/vggt_224_distill/2026-05-11_00-33-14/wandb/run-20260511_003314-5k1t3boq/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..ffe777b10a05f538eb81a86d57949f5b58603a41
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diff --git a/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/config.yaml b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4beb7c1fb96ccb7b79ea891cb31d8d1f9b25c1d3
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/config.yaml
@@ -0,0 +1,353 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            7ejcn4ozu8qqvke6rorblw3cdnrjgbuv:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill_B32_GPU4
+                    - data_loader.train.batch_size=32
+                    - data_loader.train.num_workers=2
+                    - optimizer.lr=5e-4
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill_B32_GPU4.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "634646589440"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-02433e31-6297-7a19-a412-aac8596d1b36
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-304afadb-ada5-7d81-f856-94fb6e9ed557
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-570474fc-701a-c557-3f8e-7924d3f96e76
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-d19686af-4e19-cf5b-4629-62e7a04f5501
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-da907c45-712c-2413-dcbd-46933f7e8ce2
+                    - architecture: Blackwell
+                      cudaCores: 18944
+                      memoryTotal: "192265846784"
+                      name: NVIDIA B200
+                      uuid: GPU-0db826cd-6941-2637-f407-c110aea8cb77
+                host: hyunwoo-chulhee
+                memory:
+                    total: "2430205771776"
+                os: Linux-6.8.0-100-generic-x86_64-with-glibc2.39
+                program: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py
+                python: CPython 3.11.15
+                root: /home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-11_00-36-44
+                startedAt: "2026-05-10T15:36:44.312584Z"
+                writerId: 7ejcn4ozu8qqvke6rorblw3cdnrjgbuv
+        m:
+            - "1": train/step
+              "6":
+                - 3
+              "7": []
+            - "2": train/*
+              "5": 1
+              "6":
+                - 1
+              "7": []
+        python_version: 3.11.15
+        t:
+            "1":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "2":
+                - 1
+                - 41
+                - 49
+                - 50
+                - 106
+            "3":
+                - 7
+                - 13
+                - 15
+                - 16
+                - 61
+                - 62
+            "4": 3.11.15
+            "5": 0.26.1
+            "12": 0.26.1
+            "13": linux-x86_64
+checkpointing:
+    value:
+        every_n_train_steps: 100
+        load: null
+        save_top_k: 1
+        save_weights_only: false
+data_loader:
+    value:
+        test:
+            batch_size: 1
+            num_workers: 4
+            persistent_workers: false
+            seed: 2345
+        train:
+            batch_size: 32
+            num_workers: 2
+            persistent_workers: true
+            seed: 1234
+        val:
+            batch_size: 1
+            num_workers: 1
+            persistent_workers: true
+            seed: 3456
+dataset:
+    value:
+        re10k:
+            augment: true
+            background_color:
+                - 0
+                - 0
+                - 0
+            baseline_max: 1e+10
+            baseline_min: 0.001
+            cameras_are_circular: false
+            input_image_shape:
+                - 224
+                - 224
+            make_baseline_1: true
+            max_fov: 100
+            name: re10k
+            original_image_shape:
+                - 360
+                - 640
+            overfit_to_scene: null
+            relative_pose: true
+            roots:
+                - datasets/re10k
+            skip_bad_shape: true
+            view_sampler:
+                initial_max_distance_between_context_views: 25
+                initial_min_distance_between_context_views: 25
+                max_distance_between_context_views: 90
+                min_distance_between_context_views: 45
+                min_distance_to_context_views: 0
+                name: bounded
+                num_context_views: 2
+                num_target_views: 4
+                warm_up_steps: 500
+distill:
+    value:
+        camera_weight: 1
+        intrinsics_weight: 1
+        log_artifact: false
+        log_every: 10
+        log_media_every: 200
+        max_steps: 500
+        output: outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt
+        parent_weight: 1
+        rot_weight: 1
+        save_every: 100
+        student_image_size: 224
+        teacher_image_size: 518
+        teacher_weights: pretrained_weights/model.pt
+        trans_weight: 1
+loss:
+    value:
+        mse:
+            weight: 1
+mode:
+    value: train
+model:
+    value:
+        decoder:
+            backend: gsplat
+            background_color:
+                - 0
+                - 0
+                - 0
+            make_scale_invariant: false
+            name: splatting_cuda
+        encoder:
+            apply_bounds_shim: true
+            backbone:
+                estimating_pose: true
+                global_merge_cache_across_layers: true
+                global_merge_final_output: true
+                global_merge_image_grad_weight: 0.5
+                global_merge_keep_first_frame: true
+                global_merge_ratio: 0.5
+                global_merge_salient_ratio: 0.1
+                global_merge_strategy: none
+                gt_target_pose_align_mode: global_context
+                input_image_size: null
+                input_resize_mode: bilinear
+                intermediate_layer_idx:
+                    - 4
+                    - 11
+                    - 17
+                    - 23
+                name: vggt
+                output_token_grid: batch
+                output_token_resize_mode: bilinear
+                parent_feature_fusion: residual_weighted
+                parent_feature_residual_scale_init: 0.1
+                target_pose_source: predicted
+            freeze_backbone: none
+            gaussian_predictor:
+                apply_child_policy_eval: false
+                border_pixel_delta_scale: null
+                border_width_patches: 0
+                child_allocation_policy: auto
+                child_dim: null
+                child_error_source: predicted
+                child_generator:
+                    mask_invalid_children: false
+                    name: slot
+                child_random_mix_prob: 0.2
+                child_random_warmup_steps: 0
+                child_schedule: -1
+                child_self_attn: true
+                depth: 1
+                depth_activation: softplus
+                error_model: exp
+                gaussian_delta_mode: final
+                heads: 16
+                max_children: 8
+                min_children: 1
+                name: hierarchical_attn
+                num_learnable_parents: 0
+                outside_border_parents: false
+                outside_border_rings: 1
+                outside_clamp_to_exterior: true
+                outside_offset_scale: 0.02
+                outside_pixel_delta_scale: 2
+                parent_cross_source: own
+                parent_merge_aggregation: max
+                parent_merge_distance_scale: 1
+                parent_merge_policy: none
+                parent_shortcut: true
+                patch_feat_dim: 512
+                patch_size: 14
+                pixel_delta_scale: 0.5
+                position_activation: vggt_inv_log
+                position_parameterization: depth
+                random_children: true
+                top_k: 8
+                use_pred_intrinsic: false
+                use_predicted_error: true
+                use_varlen: true
+            name: flexsplat
+            pose_free: true
+            pretrained_weights: ""
+            sh_degree: 0
+optimizer:
+    value:
+        backbone_lr_multiplier: 0.1
+        lr: 0.0005
+        warm_up_steps: 200
+seed:
+    value: 111123
+test:
+    value:
+        align_pose: true
+        compute_scores: true
+        output_path: test
+        pose_align_steps: 100
+        rot_opt_lr: 0.005
+        save_compare: false
+        save_image: true
+        save_video: false
+        trans_opt_lr: 0.005
+train:
+    value:
+        camera_loss: 0
+        context_view_loss: false
+        direct_camera_pose_enc: false
+        extended_visualization: false
+        gaussian_train_budget_multiplier: 1
+        gaussian_train_ratio_beta_alpha: 4
+        gaussian_train_ratio_beta_beta: 1
+        gaussian_train_ratio_max: 1
+        gaussian_train_ratio_min: 0
+        gaussian_train_ratio_sampling: beta
+        gaussian_train_ratio_value: 0.5
+        gaussian_train_samples: 1
+        hierarchical_aux_render_loss: 0
+        hierarchical_patch_position_loss: 0
+        hierarchical_patch_position_loss_margin_px: 0
+        hierarchical_patch_position_loss_target: child
+        hierarchical_patch_position_loss_until_step: 5000
+        pixel_error_mode: abs
+        print_log_every_n_steps: 10
+        tracked_validation_dataset_index: 0
+        tracked_validation_sample_index: 15
+        tracked_validation_visualization: true
+        valid_gs_count: 2048
+        valid_gs_ratio: 0.5
+        validation_projection_max_views: 2
+        validation_projection_visualization: true
+        validation_random_visualization: true
+trainer:
+    value:
+        accumulate_grad_batches: 1
+        gradient_clip_val: 0.5
+        max_steps: 1000
+        num_nodes: 1
+        val_check_interval: 250
+wandb:
+    value:
+        mode: online
+        name: vggt_224_depth_distill_B32_GPU4
+        project: flexsplat
+        tags:
+            - re10k
+            - vggt
+            - distill
+            - "224"
diff --git a/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/output.log b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..5e7428bb73555c584d65f11efb2d9a1bf981083c
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/output.log
@@ -0,0 +1,105 @@
+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill_B32_GPU4, url=https://wandb.ai/know/FlexSplat/runs/qu27blv7
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 972, in main
+    encoder = build_student_encoder(cfg).to(device)
+              ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 268, in build_student_encoder
+    encoder, _ = get_encoder(cfg.model.encoder)
+                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/__init__.py", line 20, in get_encoder
+    encoder = encoder(cfg)
+              ^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/encoder_flexsplat.py", line 60, in __init__
+    self.backbone = get_backbone(cfg.backbone)
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 263, in local_get_backbone
+    return BackboneVGGT(backbone_cfg)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/backbone_vggt.py", line 86, in __init__
+    super().__init__()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/vggt.py", line 21, in __init__
+    self.aggregator = Aggregator(img_size=img_size, patch_size=patch_size, embed_dim=embed_dim)
+                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 80, in __init__
+    self.__build_patch_embed__(patch_embed, img_size, patch_size, num_register_tokens, embed_dim=embed_dim)
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 226, in __build_patch_embed__
+    self.patch_embed = vit_models[patch_embed](
+                       ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 375, in vit_large
+    model = DinoVisionTransformer(
+            ^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 176, in __init__
+    self.init_weights()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 183, in init_weights
+    named_apply(init_weights_vit_timm, self)
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 29, in named_apply
+    named_apply(fn=fn, module=child_module, name=child_name, depth_first=depth_first, include_root=True)
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 29, in named_apply
+    named_apply(fn=fn, module=child_module, name=child_name, depth_first=depth_first, include_root=True)
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 29, in named_apply
+    named_apply(fn=fn, module=child_module, name=child_name, depth_first=depth_first, include_root=True)
+  [Previous line repeated 1 more time]
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 31, in named_apply
+    fn(module=module, name=name)
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 341, in init_weights_vit_timm
+    trunc_normal_(module.weight, std=0.02)
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/init.py", line 295, in trunc_normal_
+    return _no_grad_trunc_normal_(tensor, mean, std, a, b, generator=generator)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/init.py", line 118, in _no_grad_trunc_normal_
+    tensor.erfinv_()
+KeyboardInterrupt
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+[rank0]:     main()
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 972, in main
+[rank0]:     encoder = build_student_encoder(cfg).to(device)
+[rank0]:               ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 268, in build_student_encoder
+[rank0]:     encoder, _ = get_encoder(cfg.model.encoder)
+[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/__init__.py", line 20, in get_encoder
+[rank0]:     encoder = encoder(cfg)
+[rank0]:               ^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/encoder_flexsplat.py", line 60, in __init__
+[rank0]:     self.backbone = get_backbone(cfg.backbone)
+[rank0]:                     ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 263, in local_get_backbone
+[rank0]:     return BackboneVGGT(backbone_cfg)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/backbone_vggt.py", line 86, in __init__
+[rank0]:     super().__init__()
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/vggt.py", line 21, in __init__
+[rank0]:     self.aggregator = Aggregator(img_size=img_size, patch_size=patch_size, embed_dim=embed_dim)
+[rank0]:                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 80, in __init__
+[rank0]:     self.__build_patch_embed__(patch_embed, img_size, patch_size, num_register_tokens, embed_dim=embed_dim)
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 226, in __build_patch_embed__
+[rank0]:     self.patch_embed = vit_models[patch_embed](
+[rank0]:                        ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 375, in vit_large
+[rank0]:     model = DinoVisionTransformer(
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 176, in __init__
+[rank0]:     self.init_weights()
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 183, in init_weights
+[rank0]:     named_apply(init_weights_vit_timm, self)
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 29, in named_apply
+[rank0]:     named_apply(fn=fn, module=child_module, name=child_name, depth_first=depth_first, include_root=True)
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 29, in named_apply
+[rank0]:     named_apply(fn=fn, module=child_module, name=child_name, depth_first=depth_first, include_root=True)
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 29, in named_apply
+[rank0]:     named_apply(fn=fn, module=child_module, name=child_name, depth_first=depth_first, include_root=True)
+[rank0]:   [Previous line repeated 1 more time]
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 31, in named_apply
+[rank0]:     fn(module=module, name=name)
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/vision_transformer.py", line 341, in init_weights_vit_timm
+[rank0]:     trunc_normal_(module.weight, std=0.02)
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/init.py", line 295, in trunc_normal_
+[rank0]:     return _no_grad_trunc_normal_(tensor, mean, std, a, b, generator=generator)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/init.py", line 118, in _no_grad_trunc_normal_
+[rank0]:     tensor.erfinv_()
+[rank0]: KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/requirements.txt b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/requirements.txt
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+tzdata==2025.2
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+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/wandb-metadata.json b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..1962510559247581efaf1091175e835cb4acec84
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/wandb-metadata.json
@@ -0,0 +1,110 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T15:36:44.312584Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill_B32_GPU4",
+    "data_loader.train.batch_size=32",
+    "data_loader.train.num_workers=2",
+    "optimizer.lr=5e-4",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill_B32_GPU4.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-11_00-36-44",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
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+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
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+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
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+    {
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+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
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+    },
+    {
+      "name":  "NVIDIA B200",
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+      "architecture":  "Blackwell",
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+    },
+    {
+      "name":  "NVIDIA B200",
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+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "7ejcn4ozu8qqvke6rorblw3cdnrjgbuv"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/wandb-summary.json b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..f38139395ff77a7148b90a4327c0a22722eee871
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@@ -0,0 +1 @@
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diff --git a/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/logs/debug-core.log b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/logs/debug-core.log
new file mode 100644
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diff --git a/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/logs/debug-internal.log b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/logs/debug-internal.log
new file mode 100644
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diff --git a/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/logs/debug.log b/vggt_224_distill/2026-05-11_00-36-44/wandb/run-20260511_003644-qu27blv7/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..f15b02bb1cff7563541bbc02954673cfc1dafa19
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new file mode 100644
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+        e:
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+                args:
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+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill_B16_GPU8
+                    - data_loader.train.batch_size=16
+                    - data_loader.train.num_workers=2
+                    - optimizer.lr=1e-3
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill_B16_GPU8.pt
+                    - --max-steps
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+                    - --save-every
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+                    - "200"
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+                email: dna9041@korea.ac.kr
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+                git:
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+                    remote: git@github.com:K-nowing/FlexSplat.git
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+                python: CPython 3.11.15
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diff --git a/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/files/output.log b/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..b7317f8b642aefb11013ff3e0afab87ea703b25d
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/files/output.log
@@ -0,0 +1,156 @@
+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill_B16_GPU8, url=https://wandb.ai/know/FlexSplat/runs/d2ik4thr
+Starting VGGT distillation: steps=1000, device=cuda:0, world_size=8, dataset_warmup_steps=500, per_gpu_batch_size=16, global_batch_size=128, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:387: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.888280 parent_rmse=0.474805 rot_deg=1.8110 time=1.75s mem=64.63GB
+step 000010 loss=0.772721 parent_rmse=0.325822 rot_deg=1.9637 time=0.93s mem=73.09GB
+step 000020 loss=0.638209 parent_rmse=0.324490 rot_deg=2.1351 time=0.94s mem=73.09GB
+step 000030 loss=0.578860 parent_rmse=0.295147 rot_deg=2.9582 time=0.93s mem=73.09GB
+step 000040 loss=0.417627 parent_rmse=0.245094 rot_deg=3.7595 time=0.93s mem=73.09GB
+step 000050 loss=inf parent_rmse=0.238073 rot_deg=3.6677 time=0.94s mem=73.09GB
+step 000060 loss=6.074916 parent_rmse=0.353348 rot_deg=3.6892 time=0.94s mem=73.09GB
+step 000070 loss=inf parent_rmse=0.187495 rot_deg=3.2302 time=0.94s mem=73.09GB
+step 000080 loss=inf parent_rmse=0.339743 rot_deg=2.8155 time=0.94s mem=73.09GB
+step 000090 loss=0.565419 parent_rmse=0.243534 rot_deg=3.0263 time=0.94s mem=73.09GB
+step 000100 loss=inf parent_rmse=0.207523 rot_deg=19.9636 time=0.94s mem=73.09GB
+step 000110 loss=inf parent_rmse=0.154857 rot_deg=17.7639 time=0.93s mem=73.09GB
+step 000120 loss=inf parent_rmse=0.196959 rot_deg=4.7506 time=0.94s mem=73.09GB
+step 000130 loss=inf parent_rmse=0.166045 rot_deg=5.8415 time=0.93s mem=73.09GB
+step 000140 loss=inf parent_rmse=0.160382 rot_deg=5.5871 time=0.94s mem=73.09GB
+step 000150 loss=0.722763 parent_rmse=0.159430 rot_deg=2.0629 time=0.94s mem=73.09GB
+step 000160 loss=0.750655 parent_rmse=0.181789 rot_deg=5.9629 time=0.94s mem=73.09GB
+step 000170 loss=0.694152 parent_rmse=0.159161 rot_deg=5.9484 time=0.93s mem=73.09GB
+step 000180 loss=0.705049 parent_rmse=0.127381 rot_deg=4.8240 time=0.94s mem=73.09GB
+step 000190 loss=0.622630 parent_rmse=0.159522 rot_deg=2.4685 time=0.94s mem=73.09GB
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/optim/lr_scheduler.py:209: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+step 000200 loss=0.730557 parent_rmse=0.151659 rot_deg=2.5832 time=0.93s mem=73.09GB
+step 000210 loss=0.697417 parent_rmse=0.184014 rot_deg=2.6847 time=0.94s mem=73.09GB
+step 000220 loss=inf parent_rmse=0.181568 rot_deg=8.1688 time=0.93s mem=73.09GB
+step 000230 loss=0.715940 parent_rmse=0.219471 rot_deg=6.5967 time=0.94s mem=73.09GB
+step 000240 loss=0.635482 parent_rmse=0.150063 rot_deg=5.4726 time=0.93s mem=73.09GB
+step 000250 loss=0.670479 parent_rmse=0.125422 rot_deg=3.1169 time=0.94s mem=73.09GB
+step 000260 loss=0.733559 parent_rmse=0.200002 rot_deg=3.6436 time=0.94s mem=73.09GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1027, in main
+    teacher_outputs = teacher_forward(
+                      ^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 383, in teacher_forward
+    aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+                                              ^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 422, in forward
+    return self._decoder(
+           ^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+    return self._decode(
+           ^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+    tokens, global_idx, global_intermediates = self._process_global_attention(
+                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+    block_tokens = self.global_blocks[global_idx](
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+    q = self.rope(q, pos)
+        ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+    max_position = int(positions.max()) + 1
+                   ^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+[rank0]:     main()
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1027, in main
+[rank0]:     teacher_outputs = teacher_forward(
+[rank0]:                       ^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+[rank0]:     return func(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 383, in teacher_forward
+[rank0]:     aggregated_tokens_list, patch_start_idx = teacher.aggregator(
+[rank0]:                                               ^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 422, in forward
+[rank0]:     return self._decoder(
+[rank0]:            ^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+[rank0]:     return self._decode(
+[rank0]:            ^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+[rank0]:     tokens, global_idx, global_intermediates = self._process_global_attention(
+[rank0]:                                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+[rank0]:     block_tokens = self.global_blocks[global_idx](
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+[rank0]:     x = x + attn_residual_func(x, pos=pos)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+[rank0]:     return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+[rank0]:                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+[rank0]:     q = self.rope(q, pos)
+[rank0]:         ^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+[rank0]:     max_position = int(positions.max()) + 1
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^
+[rank0]: KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/files/requirements.txt b/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/files/requirements.txt
@@ -0,0 +1,119 @@
+huggingface-hub==0.35.1
+multidict==6.6.4
+pydantic==2.11.9
+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
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diff --git a/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/logs/debug-core.log b/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/logs/debug-core.log
new file mode 100644
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+++ b/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/logs/debug-core.log
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diff --git a/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/logs/debug-internal.log b/vggt_224_distill/2026-05-11_00-37-22/wandb/run-20260511_003722-d2ik4thr/logs/debug-internal.log
new file mode 100644
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diff --git a/vggt_224_distill/2026-05-11_00-42-23/wandb/debug.log b/vggt_224_distill/2026-05-11_00-42-23/wandb/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..1f05cd2792e9cbb455ee28d2a1cbb83d0dbb8fb0
--- /dev/null
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+2026-05-11 00:42:23,850 INFO    MainThread:1696551 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
+config: {'model': {'encoder': {'backbone': {'name': 'vggt', 'estimating_pose': True, 'target_pose_source': 'predicted', 'gt_target_pose_align_mode': 'global_context', 'intermediate_layer_idx': [4, 11, 17, 23], 'parent_feature_fusion': 'residual_weighted', 'parent_feature_residual_scale_init': 0.1, 'input_image_size': None, 'input_resize_mode': 'bilinear', 'output_token_grid': 'batch', 'output_token_resize_mode': 'bilinear', 'global_merge_strategy': 'none', 'global_merge_ratio': 0.5, 'global_merge_salient_ratio': 0.1, 'global_merge_keep_first_frame': True, 'global_merge_image_grad_weight': 0.5, 'global_merge_cache_across_layers': True, 'global_merge_final_output': True}, 'gaussian_predictor': {'child_generator': {'name': 'slot', 'mask_invalid_children': False}, 'name': 'hierarchical_attn', 'depth': 1, 'min_children': 1, 'max_children': 8, 'heads': 16, 'num_learnable_parents': 0, 'use_varlen': True, 'random_children': True, 'use_predicted_error': True, 'error_model': 'exp', 'child_allocation_policy': 'auto', 'child_error_source': 'predicted', 'child_random_mix_prob': 0.2, 'child_random_warmup_steps': 0, 'apply_child_policy_eval': False, 'parent_cross_source': 'own', 'child_self_attn': True, 'patch_size': 14, 'child_dim': None, 'patch_feat_dim': 512, 'child_schedule': -1, 'top_k': 8, 'parent_shortcut': True, 'gaussian_delta_mode': 'final', 'parent_merge_policy': 'none', 'parent_merge_distance_scale': 1.0, 'parent_merge_aggregation': 'max', 'position_activation': 'vggt_inv_log', 'position_parameterization': 'depth', 'depth_activation': 'softplus', 'pixel_delta_scale': 0.5, 'border_pixel_delta_scale': None, 'border_width_patches': 0, 'outside_border_parents': False, 'outside_border_rings': 1, 'outside_offset_scale': 0.02, 'outside_pixel_delta_scale': 2.0, 'outside_clamp_to_exterior': True, 'use_pred_intrinsic': False}, 'name': 'flexsplat', 'sh_degree': 0, 'apply_bounds_shim': True, 'pose_free': True, 'pretrained_weights': '', 'freeze_backbone': 'none'}, 'decoder': {'name': 'splatting_cuda', 'background_color': [0.0, 0.0, 0.0], 'make_scale_invariant': False, 'backend': 'gsplat'}}, 'loss': {'mse': {'weight': 1.0}}, 'wandb': {'project': 'flexsplat', 'name': 'vggt_224_depth_distill_B16_GPU8', 'mode': 'online', 'tags': ['re10k', 'vggt', 'distill', '224']}, 'mode': 'train', 'data_loader': {'train': {'num_workers': 2, 'persistent_workers': True, 'batch_size': 16, 'seed': 1234}, 'test': {'num_workers': 4, 'persistent_workers': False, 'batch_size': 1, 'seed': 2345}, 'val': {'num_workers': 1, 'persistent_workers': True, 'batch_size': 1, 'seed': 3456}}, 'optimizer': {'lr': 0.00015, 'warm_up_steps': 200, 'backbone_lr_multiplier': 0.1}, 'checkpointing': {'load': None, 'every_n_train_steps': 100, 'save_top_k': 1, 'save_weights_only': False}, 'train': {'extended_visualization': False, 'print_log_every_n_steps': 10, 'validation_random_visualization': True, 'valid_gs_ratio': 0.5, 'valid_gs_count': 2048, 'validation_projection_visualization': True, 'validation_projection_max_views': 2, 'tracked_validation_visualization': True, 'tracked_validation_dataset_index': 0, 'tracked_validation_sample_index': 15, 'context_view_loss': False, 'direct_camera_pose_enc': False, 'camera_loss': 0.0, 'gaussian_train_samples': 1, 'gaussian_train_budget_multiplier': 1.0, 'gaussian_train_ratio_sampling': 'beta', 'gaussian_train_ratio_beta_alpha': 4.0, 'gaussian_train_ratio_beta_beta': 1.0, 'gaussian_train_ratio_min': 0.0, 'gaussian_train_ratio_max': 1.0, 'gaussian_train_ratio_value': 0.5, 'hierarchical_aux_render_loss': 0.0, 'hierarchical_patch_position_loss': 0.0, 'hierarchical_patch_position_loss_until_step': 5000, 'hierarchical_patch_position_loss_margin_px': 0.0, 'hierarchical_patch_position_loss_target': 'child', 'pixel_error_mode': 'abs'}, 'test': {'output_path': 'test', 'align_pose': True, 'pose_align_steps': 100, 'rot_opt_lr': 0.005, 'trans_opt_lr': 0.005, 'compute_scores': True, 'save_image': True, 'save_video': False, 'save_compare': False}, 'seed': 111123, 'trainer': {'max_steps': 1000, 'val_check_interval': 250, 'gradient_clip_val': 0.5, 'num_nodes': 1, 'accumulate_grad_batches': 1}, 'dataset': {'re10k': {'make_baseline_1': True, 'relative_pose': True, 'augment': True, 'background_color': [0.0, 0.0, 0.0], 'overfit_to_scene': None, 'skip_bad_shape': True, 'view_sampler': {'name': 'bounded', 'num_target_views': 4, 'num_context_views': 2, 'min_distance_between_context_views': 45, 'max_distance_between_context_views': 90, 'min_distance_to_context_views': 0, 'warm_up_steps': 500, 'initial_min_distance_between_context_views': 25, 'initial_max_distance_between_context_views': 25}, 'name': 're10k', 'roots': ['datasets/re10k'], 'input_image_shape': [224, 224], 'original_image_shape': [360, 640], 'cameras_are_circular': False, 'baseline_min': 0.001, 'baseline_max': 10000000000.0, 'max_fov': 100.0}}, 'distill': {'teacher_weights': 'pretrained_weights/model.pt', 'output': 'outputs/vggt_224_distill/flexsplat_vggt224_depth_distilled_encoder.pt', 'teacher_image_size': 518, 'student_image_size': 224, 'max_steps': 500, 'save_every': 100, 'log_every': 10, 'log_media_every': 200, 'camera_weight': 1.0, 'parent_weight': 1.0, 'rot_weight': 1.0, 'trans_weight': 1.0, 'intrinsics_weight': 1.0, 'log_artifact': False}, '_wandb': {}}
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diff --git a/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/config.yaml b/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7cb8dd162630ae0374a0f03b7604f3dc05920a61
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+++ b/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/config.yaml
@@ -0,0 +1,352 @@
+_wandb:
+    value:
+        cli_version: 0.26.1
+        e:
+            cipqdywjvzzwvw3smzjwzucq7017sx9r:
+                args:
+                    - +training=vggt_224_distill
+                    - wandb.project=flexsplat
+                    - wandb.mode=online
+                    - wandb.name=vggt_224_depth_distill_B16_GPU8
+                    - data_loader.train.batch_size=16
+                    - data_loader.train.num_workers=2
+                    - --teacher-weights
+                    - pretrained_weights/model.pt
+                    - --output
+                    - outputs/vggt_224_distill/vggt_224_depth_distill_B16_GPU8.pt
+                    - --max-steps
+                    - "1000"
+                    - --save-every
+                    - "500"
+                    - --log-every
+                    - "10"
+                    - --log-media-every
+                    - "200"
+                codePath: scripts/train_vggt_224_distill.py
+                codePathLocal: scripts/train_vggt_224_distill.py
+                cpu_count: 72
+                cpu_count_logical: 72
+                cudaVersion: "13.0"
+                disk:
+                    /:
+                        total: "1717986918400"
+                        used: "634647470080"
+                email: dna9041@korea.ac.kr
+                executable: /NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11
+                git:
+                    commit: 1095fa6b17eea04d42b608790dbc3b4af7dc7b85
+                    remote: git@github.com:K-nowing/FlexSplat.git
+                gpu: NVIDIA B200
+                gpu_count: 8
+                gpu_nvidia:
+                    - architecture: Blackwell
+                      cudaCores: 18944
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--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/output.log
@@ -0,0 +1,228 @@
+wandb initialized: project=flexsplat, mode=online, name=vggt_224_depth_distill_B16_GPU8, url=https://wandb.ai/know/FlexSplat/runs/x3msb1r5
+Starting VGGT distillation: steps=1000, device=cuda:0, world_size=8, dataset_warmup_steps=500, per_gpu_batch_size=16, global_batch_size=128, freeze_backbone=none
+Params: trainable=1,267,417,653, frozen=1,027
+/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py:387: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.
+  with torch.cuda.amp.autocast(enabled=False):
+step 000001 loss=0.888280 parent_rmse=0.474805 rot_deg=1.8110 time=1.78s mem=64.63GB
+step 000010 loss=0.833389 parent_rmse=0.394483 rot_deg=2.1858 time=0.95s mem=73.09GB
+step 000020 loss=0.760147 parent_rmse=0.341230 rot_deg=2.4381 time=0.94s mem=73.09GB
+step 000030 loss=0.813038 parent_rmse=0.325764 rot_deg=2.0250 time=0.94s mem=73.09GB
+step 000040 loss=0.607525 parent_rmse=0.304897 rot_deg=2.7012 time=0.94s mem=73.09GB
+step 000050 loss=0.572246 parent_rmse=0.321957 rot_deg=2.5229 time=0.94s mem=73.09GB
+step 000060 loss=inf parent_rmse=0.295589 rot_deg=2.7920 time=0.93s mem=73.09GB
+step 000070 loss=inf parent_rmse=0.277808 rot_deg=2.5803 time=0.94s mem=73.09GB
+step 000080 loss=inf parent_rmse=0.274587 rot_deg=2.3457 time=0.93s mem=73.09GB
+step 000090 loss=0.400435 parent_rmse=0.238146 rot_deg=2.7362 time=0.93s mem=73.09GB
+step 000100 loss=inf parent_rmse=0.249950 rot_deg=2.8055 time=0.94s mem=73.09GB
+step 000110 loss=0.305315 parent_rmse=0.225779 rot_deg=3.0453 time=0.94s mem=73.09GB
+step 000120 loss=inf parent_rmse=0.228439 rot_deg=3.0807 time=0.93s mem=73.09GB
+step 000130 loss=0.292436 parent_rmse=0.206312 rot_deg=2.7382 time=0.93s mem=73.09GB
+step 000140 loss=0.336562 parent_rmse=0.198597 rot_deg=3.0186 time=0.94s mem=73.09GB
+step 000150 loss=0.354518 parent_rmse=0.170701 rot_deg=3.2484 time=0.93s mem=73.09GB
+step 000160 loss=0.480196 parent_rmse=0.153777 rot_deg=3.7815 time=0.93s mem=73.09GB
+step 000170 loss=0.384220 parent_rmse=0.190982 rot_deg=5.2408 time=0.93s mem=73.09GB
+step 000180 loss=0.299477 parent_rmse=0.250696 rot_deg=4.7977 time=0.93s mem=73.09GB
+step 000190 loss=0.474045 parent_rmse=0.399122 rot_deg=4.4337 time=0.94s mem=73.09GB
+/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/optim/lr_scheduler.py:209: UserWarning: The epoch parameter in `scheduler.step()` was not necessary and is being deprecated where possible. Please use `scheduler.step()` to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
+  warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
+step 000200 loss=0.710759 parent_rmse=0.412509 rot_deg=3.3389 time=0.93s mem=73.09GB
+step 000210 loss=0.747893 parent_rmse=0.436967 rot_deg=3.3126 time=0.93s mem=73.09GB
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+step 000240 loss=inf parent_rmse=0.188916 rot_deg=7.9415 time=0.93s mem=73.09GB
+step 000250 loss=inf parent_rmse=0.156563 rot_deg=10.2211 time=0.94s mem=73.09GB
+step 000260 loss=inf parent_rmse=0.170409 rot_deg=11.1102 time=0.94s mem=73.09GB
+step 000270 loss=43.903006 parent_rmse=0.151687 rot_deg=11.0142 time=0.93s mem=73.09GB
+step 000280 loss=inf parent_rmse=0.160227 rot_deg=11.6994 time=0.93s mem=73.09GB
+step 000290 loss=7.119878 parent_rmse=0.191623 rot_deg=13.1602 time=0.93s mem=73.09GB
+step 000300 loss=0.789295 parent_rmse=0.156169 rot_deg=14.5865 time=0.93s mem=73.09GB
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+step 000510 loss=inf parent_rmse=0.108240 rot_deg=7.6160 time=0.94s mem=73.09GB
+step 000520 loss=inf parent_rmse=0.137117 rot_deg=7.6363 time=0.94s mem=73.09GB
+step 000530 loss=inf parent_rmse=0.141010 rot_deg=7.1817 time=0.93s mem=73.09GB
+step 000540 loss=inf parent_rmse=0.142937 rot_deg=6.8105 time=0.93s mem=73.09GB
+step 000550 loss=inf parent_rmse=0.351377 rot_deg=6.3790 time=0.94s mem=73.09GB
+step 000560 loss=inf parent_rmse=0.241712 rot_deg=6.3478 time=0.93s mem=73.09GB
+step 000570 loss=inf parent_rmse=0.204378 rot_deg=4.9548 time=0.94s mem=73.09GB
+step 000580 loss=1.274325 parent_rmse=0.214609 rot_deg=5.2474 time=0.93s mem=73.09GB
+step 000590 loss=0.584330 parent_rmse=0.155781 rot_deg=4.1054 time=0.93s mem=73.09GB
+step 000600 loss=0.639376 parent_rmse=0.130215 rot_deg=2.9667 time=0.93s mem=73.09GB
+step 000610 loss=0.667617 parent_rmse=0.136171 rot_deg=2.0981 time=0.94s mem=73.09GB
+step 000620 loss=0.657965 parent_rmse=0.128257 rot_deg=2.4288 time=0.96s mem=73.09GB
+Traceback (most recent call last):
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+    main()
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1034, in main
+    student_outputs = ddp_student(batch, step)
+                      ^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1648, in forward
+    else self._run_ddp_forward(*inputs, **kwargs)
+         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1474, in _run_ddp_forward
+    return self.module(*inputs, **kwargs)  # type: ignore[index]
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 132, in forward
+    return student_forward(self.encoder, batch, step)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 423, in student_forward
+    backbone_outputs = encoder.backbone(batch["context"], target=None)
+                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/backbone_vggt.py", line 366, in forward
+    aggregated_tokens_list, patch_start_idx = self.aggregator._decoder(
+                                              ^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+    return self._decode(
+           ^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+    tokens, global_idx, global_intermediates = self._process_global_attention(
+                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+    block_tokens = self.global_blocks[global_idx](
+                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+    x = x + attn_residual_func(x, pos=pos)
+            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+    return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+    q = self.rope(q, pos)
+        ^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+    return forward_call(*args, **kwargs)
+           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+    max_position = int(positions.max()) + 1
+                   ^^^^^^^^^^^^^^^^^^^^
+KeyboardInterrupt
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1153, in <module>
+[rank0]:     main()
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 1034, in main
+[rank0]:     student_outputs = ddp_student(batch, step)
+[rank0]:                       ^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1648, in forward
+[rank0]:     else self._run_ddp_forward(*inputs, **kwargs)
+[rank0]:          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/parallel/distributed.py", line 1474, in _run_ddp_forward
+[rank0]:     return self.module(*inputs, **kwargs)  # type: ignore[index]
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 132, in forward
+[rank0]:     return student_forward(self.encoder, batch, step)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py", line 423, in student_forward
+[rank0]:     backbone_outputs = encoder.backbone(batch["context"], target=None)
+[rank0]:                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/backbone_vggt.py", line 366, in forward
+[rank0]:     aggregated_tokens_list, patch_start_idx = self.aggregator._decoder(
+[rank0]:                                               ^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 352, in _decoder
+[rank0]:     return self._decode(
+[rank0]:            ^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 325, in _decode
+[rank0]:     tokens, global_idx, global_intermediates = self._process_global_attention(
+[rank0]:                                                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/aggregator.py", line 475, in _process_global_attention
+[rank0]:     block_tokens = self.global_blocks[global_idx](
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 100, in forward
+[rank0]:     x = x + attn_residual_func(x, pos=pos)
+[rank0]:             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/block.py", line 83, in attn_residual_func
+[rank0]:     return self.ls1(self.attn(self.norm1(x), pos=pos, mask=mask))
+[rank0]:                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/attention.py", line 57, in forward
+[rank0]:     q = self.rope(q, pos)
+[rank0]:         ^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1773, in _wrapped_call_impl
+[rank0]:     return self._call_impl(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1784, in _call_impl
+[rank0]:     return forward_call(*args, **kwargs)
+[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+[rank0]:   File "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/src/model/encoder/backbone/vggt/layers/rope.py", line 177, in forward
+[rank0]:     max_position = int(positions.max()) + 1
+[rank0]:                    ^^^^^^^^^^^^^^^^^^^^
+[rank0]: KeyboardInterrupt
diff --git a/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/requirements.txt b/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3817b998c9f2d12811c4cd415ee7a78b2a0c7839
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/requirements.txt
@@ -0,0 +1,119 @@
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+einops==0.8.1
+cffi==1.17.1
+pyparsing==3.2.5
+charset-normalizer==3.3.2
+fsspec==2024.6.1
+e3nn==0.5.6
+ninja==1.13.0
+aiohttp==3.12.15
+click==8.3.0
+PySocks==1.7.1
+networkx==3.4.2
+scipy==1.15.3
+pytz==2025.2
+easydict==1.13
+lazy_loader==0.4
+PyYAML==6.0.2
+scikit-video==1.1.11
+moviepy==1.0.3
+dacite==1.9.2
+tqdm==4.67.1
+nvidia-cuda-nvrtc-cu12==12.8.93
+nvidia-nvjitlink-cu12==12.8.93
+frozenlist==1.7.0
+brotlicffi==1.0.9.2
+requests==2.32.5
+kornia==0.8.1
+smmap==5.0.2
+attrs==25.3.0
+nvidia-cusolver-cu12==11.7.3.90
+nvidia-cusparse-cu12==12.5.8.93
+cycler==0.12.1
+urllib3==2.5.0
+aiohappyeyeballs==2.6.1
+colorama==0.4.6
+opt-einsum-fx==0.1.4
+tzdata==2025.2
+colorspacious==1.1.2
+pycparser==2.23
+omegaconf==2.3.0
+torch==2.8.0+cu128
+nvidia-nccl-cu12==2.27.3
+protobuf==6.32.1
+imageio==2.37.0
+decorator==4.4.2
+pydantic_core==2.33.2
+matplotlib==3.10.6
+mdurl==0.1.2
+nvidia-cusparselt-cu12==0.7.1
+kiwisolver==1.4.9
+tifffile==2025.5.10
+platformdirs==4.4.0
+nvidia-cudnn-cu12==9.10.2.21
+contourpy==1.3.2
+torchvision==0.23.0+cu128
+triton==3.4.0
+typing_extensions==4.15.0
+typing-inspection==0.4.1
+certifi==2025.8.3
+filelock==3.17.0
+sympy==1.14.0
+nvidia-cufile-cu12==1.13.1.3
+idna==3.7
+torchaudio==2.8.0+cu128
+nvidia-cuda-runtime-cu12==12.8.90
+jaxtyping==0.2.37
+plyfile==1.1.3
+lpips==0.1.4
+propcache==0.3.2
+nvidia-nvtx-cu12==12.8.90
+torchmetrics==1.8.2
+gitdb==4.0.12
+scikit-image==0.25.2
+markdown-it-py==4.0.0
+nvidia-cuda-cupti-cu12==12.8.90
+beartype==0.19.0
+wheel==0.45.1
+async-timeout==5.0.1
+packaging==24.2
+pytorch-lightning==2.5.1
+kornia_rs==0.1.9
+mpmath==1.3.0
+gsplat==1.5.3
+wandb==0.26.1
+nvidia-cublas-cu12==12.8.4.1
+numpy==1.26.4
+nvidia-curand-cu12==10.3.9.90
+python-dateutil==2.9.0.post0
+tabulate==0.9.0
+pip==25.2
+gmpy2==2.2.1
+Jinja2==3.1.6
+aiosignal==1.4.0
+safetensors==0.5.3
+pandas==2.3.2
+hf-xet==1.1.10
+sentry-sdk==2.39.0
+lightning==2.5.1
+MarkupSafe==3.0.2
+opencv-python==4.11.0.86
+pillow==10.4.0
+imageio-ffmpeg==0.6.0
+six==1.17.0
+proglog==0.1.12
+yarl==1.20.1
+nvidia-cufft-cu12==11.3.3.83
+annotated-types==0.7.0
+setuptools==78.1.1
+antlr4-python3-runtime==4.9.3
+Pygments==2.19.2
+rich==14.1.0
+wadler_lindig==0.1.7
+opt_einsum==3.4.0
+lightning-utilities==0.14.3
+GitPython==3.1.45
+hydra-core==1.3.2
+fonttools==4.60.0
diff --git a/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/wandb-metadata.json b/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..a53d04cadfd5f634833c597e83bca3628cc2eed2
--- /dev/null
+++ b/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/wandb-metadata.json
@@ -0,0 +1,109 @@
+{
+  "os":  "Linux-6.8.0-100-generic-x86_64-with-glibc2.39",
+  "python":  "CPython 3.11.15",
+  "startedAt":  "2026-05-10T15:42:23.848401Z",
+  "args":  [
+    "+training=vggt_224_distill",
+    "wandb.project=flexsplat",
+    "wandb.mode=online",
+    "wandb.name=vggt_224_depth_distill_B16_GPU8",
+    "data_loader.train.batch_size=16",
+    "data_loader.train.num_workers=2",
+    "--teacher-weights",
+    "pretrained_weights/model.pt",
+    "--output",
+    "outputs/vggt_224_distill/vggt_224_depth_distill_B16_GPU8.pt",
+    "--max-steps",
+    "1000",
+    "--save-every",
+    "500",
+    "--log-every",
+    "10",
+    "--log-media-every",
+    "200"
+  ],
+  "program":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/scripts/train_vggt_224_distill.py",
+  "codePath":  "scripts/train_vggt_224_distill.py",
+  "codePathLocal":  "scripts/train_vggt_224_distill.py",
+  "git":  {
+    "remote":  "git@github.com:K-nowing/FlexSplat.git",
+    "commit":  "1095fa6b17eea04d42b608790dbc3b4af7dc7b85"
+  },
+  "email":  "dna9041@korea.ac.kr",
+  "root":  "/home/korea_bupj/workspace/hyunwoo/injae/code/eccv26/FlexSplat/outputs/vggt_224_distill/2026-05-11_00-42-23",
+  "host":  "hyunwoo-chulhee",
+  "executable":  "/NHNHOME/WORKSPACE/26msit001_A/optiml/miniforge3/envs/f4splat/bin/python3.11",
+  "cpu_count":  72,
+  "cpu_count_logical":  72,
+  "gpu":  "NVIDIA B200",
+  "gpu_count":  8,
+  "disk":  {
+    "/":  {
+      "total":  "1717986918400",
+      "used":  "634647470080"
+    }
+  },
+  "memory":  {
+    "total":  "2430205771776"
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-02433e31-6297-7a19-a412-aac8596d1b36"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-42f45289-1dda-ac08-2e29-50a4f0bcff9a"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-304afadb-ada5-7d81-f856-94fb6e9ed557"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-570474fc-701a-c557-3f8e-7924d3f96e76"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-d19686af-4e19-cf5b-4629-62e7a04f5501"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-1591ac85-56c5-3609-c1ae-e41b1f54c034"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-da907c45-712c-2413-dcbd-46933f7e8ce2"
+    },
+    {
+      "name":  "NVIDIA B200",
+      "memoryTotal":  "192265846784",
+      "cudaCores":  18944,
+      "architecture":  "Blackwell",
+      "uuid":  "GPU-0db826cd-6941-2637-f407-c110aea8cb77"
+    }
+  ],
+  "cudaVersion":  "13.0",
+  "writerId":  "cipqdywjvzzwvw3smzjwzucq7017sx9r"
+}
\ No newline at end of file
diff --git a/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/wandb-summary.json b/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/files/wandb-summary.json
new file mode 100644
index 0000000000000000000000000000000000000000..33e7cfedf442f1216afa5ca0c3deefd83d077889
--- /dev/null
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diff --git a/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/logs/debug.log b/vggt_224_distill/2026-05-11_00-42-23/wandb/run-20260511_004223-x3msb1r5/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..1f05cd2792e9cbb455ee28d2a1cbb83d0dbb8fb0
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